diff --git a/Arviz - Tutorial.html b/Arviz - Tutorial.html new file mode 100644 index 0000000..374a72a --- /dev/null +++ b/Arviz - Tutorial.html @@ -0,0 +1,22592 @@ + + + + + + + + Arviz - Examples — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ Contents +
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+

Arviz - Examples

+
+
+
import arviz as az
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+
+
+
+
+
# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+
+
+
+
+
+
y = np.random.normal(0, 1, 1000)
+
+
+
+
+
+
+
outcome = az.plot_posterior(y)
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_4_0.png +
+
+
+
+
# rcParams -runtime configuration Params - configuração de tempo de execução
+az.rcParams['stats.hdi_prob'] = 0.89
+az.plot_forest((y, y**2))
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_5_0.png +
+
+
+

Plotting with PyStan objects

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+
+
import nest_asyncio
+nest_asyncio.apply()
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+
import stan  # pystan version 3.6.0
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+
+
+
schools_code = """
+data {
+  int<lower=0> J;
+  array[J] real y;
+  array[J] real<lower=0> sigma;
+}
+
+parameters {
+  real mu;
+  real<lower=0> tau;
+  array[J] real theta;
+}
+
+model {
+  // Prioris
+  mu ~ normal(0, 5);
+  tau ~ cauchy(0, 5);
+  theta ~ normal(mu, tau);
+  
+  // Likelihood
+  y ~ normal(theta, sigma);
+}
+generated quantities {
+    vector[J] log_lik;
+    vector[J] y_hat;
+    
+    for (j in 1:J) {
+        log_lik[j] = normal_lpdf(y[j] | theta[j], sigma[j]);
+        y_hat[j] = normal_rng(theta[j], sigma[j]);
+    }
+}
+"""
+
+schools_dat = {
+    "J": 8,
+    "y": [28, 8, -3, 7, -1, 1, 18, 12],
+    "sigma": [15, 10, 16, 11, 9, 11, 10, 18],
+}
+
+schools = np.array(
+    [
+        "Choate",
+        "Deerfield",
+        "Phillips Andover",
+        "Phillips Exeter",
+        "Hotchkiss",
+        "Lawrenceville",
+        "St. Paul's",
+        "Mt. Hermon",
+    ])
+posterior = stan.build(schools_code, data=schools_dat, random_seed=1)
+fit = posterior.sample(num_chains=4, num_samples=1000)
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/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp: In constructor ‘model_2367d4vd_namespace::model_2367d4vd::model_2367d4vd(stan::io::var_context&, unsigned int, std::ostream*)’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:54:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+   54 |       int pos__ = std::numeric_limits<int>::min();
+      |           ^~~~~
+
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In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun.hpp:124,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/multiply.hpp:7,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/elt_multiply.hpp:9,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:55,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,
+                 from /home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:2:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_inc_beta.hpp:37:46:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:192:12: warning: unused variable ‘pre_mult’ [-Wunused-variable]
+  192 |       auto pre_mult = a2 * pow(1 - z, -1 - a2);
+      |            ^~~~~~~~
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/grad_inc_beta.hpp:49:51:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:192:12: warning: variable ‘pre_mult’ set but not used [-Wunused-but-set-variable]
+
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/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp: In instantiation of ‘void model_2367d4vd_namespace::model_2367d4vd::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector<double, std::allocator<double> >; stan::require_vector_t<T_y>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:440:50:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:284:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+  284 |       int pos__ = std::numeric_limits<int>::min();
+      |           ^~~~~
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp: In instantiation of ‘void model_2367d4vd_namespace::model_2367d4vd::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector<double, std::allocator<double> >; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:450:36:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:244:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+  244 |       int pos__ = std::numeric_limits<int>::min();
+      |           ^~~~~
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp: In instantiation of ‘void model_2367d4vd_namespace::model_2367d4vd::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:460:36:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:244:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun.hpp:124,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/multiply.hpp:7,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/elt_multiply.hpp:9,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:55,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,
+                 from /home/rodolpho/.cache/httpstan/4.10.1/models/2367d4vd/model_2367d4vd.cpp:2:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double>]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:205:78:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_inc_beta.hpp:37:46:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:68:10: warning: unused variable ‘log_precision’ [-Wunused-variable]
+   68 |   double log_precision = log(precision);
+      |          ^~~~~~~~~~~~~
+
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/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:205:78:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/grad_inc_beta.hpp:49:51:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:68:10: warning: unused variable ‘log_precision’ [-Wunused-variable]
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---------------------------------------------------------------------------
+AttributeError                            Traceback (most recent call last)
+/tmp/ipykernel_12334/2300075740.py in <module>
+     50     ])
+     51 posterior = stan.build(schools_code, data=schools_dat, random_seed=1)
+---> 52 fit = posterior.sample(num_chains=4, num_samples=1000)
+
+AttributeError: 'NoneType' object has no attribute 'sample'
+
+
+
+
+
+
+
az.plot_density(fit, var_names=["mu", "tau"])
+
+
+
+
+
array([[<Axes: title={'center': 'mu'}>, <Axes: title={'center': 'tau'}>]],
+      dtype=object)
+
+
+_images/Arviz - Tutorial_10_1.png +
+
+
+

arviz.from_pystan

+

https://python.arviz.org/en/stable/api/generated/arviz.from_pystan.html

+
+
+
data = az.from_pystan(
+    posterior=fit,
+    posterior_predictive="y_hat",
+    observed_data=["y"],
+    log_likelihood={"y": "log_lik"},
+    coords={"school": schools},
+    dims={
+        "theta": ["school"],
+        "y": ["school"],
+        "log_lik": ["school"],
+        "y_hat": ["school"],
+        "theta_tilde": ["school"],
+    },
+)
+data
+
+
+
+
+
+
+
+
arviz.InferenceData
+
+
    + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 1000, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 2.785 2.785 2.785 2.785 ... 3.327 2.558 2.544
+    tau      (chain, draw) float64 0.4321 0.4321 0.4321 ... 5.488 3.126 3.196
+    theta    (chain, draw, school) float64 2.198 2.8 3.369 ... 2.841 10.16
+Attributes:
+    created_at:                 2023-03-14T14:17:10.880793
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 1000, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    y_hat    (chain, draw, school) float64 -8.443 -3.189 20.81 ... 5.573 5.109
+Attributes:
+    created_at:                 2023-03-14T14:17:11.005066
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 1000, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    y        (chain, draw, school) float64 -5.106 -3.357 ... -4.371 -3.815
+Attributes:
+    created_at:                 2023-03-14T14:17:10.967949
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 5.834e-08 1.061e-07 ... 0.9978 0.9929
+    step_size        (chain, draw) float64 0.1223 0.1223 ... 0.1496 0.1496
+    tree_depth       (chain, draw) int64 2 2 2 1 3 1 2 1 2 ... 5 5 5 4 4 5 5 5 4
+    n_steps          (chain, draw) int64 3 3 3 3 7 3 3 ... 31 15 31 47 31 31 15
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 3.59 4.056 6.29 ... 22.44 22.72 18.99
+    lp               (chain, draw) float64 0.1146 0.1146 ... -14.78 -15.33
+Attributes:
+    created_at:                 2023-03-14T14:17:10.922838
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

      +
    +
    +
    • + +
+
+
+
+
+
+
az.plot_pair(
+    data,
+    coords={"school": ["Choate", "Deerfield", "Phillips Andover"]},
+    divergences=True,
+);
+
+
+
+
+_images/Arviz - Tutorial_13_0.png +
+
+
+
+
az.plot_trace(data, compact=False)
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_14_0.png +
+
+
+
+
+

Meu Exemplo Simples 1

+
+
+
N = 100
+alpha = 5
+beta = 3
+
+x = np.linspace(0, 10, N)
+y = np.array([alpha + beta * x_i + np.random.normal(0, 3, 1) for x_i in x]).flatten()
+
+plt.plot(x, y, lw=0.3, c='blue')
+
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_16_0.png +
+
+
+
+
model = """
+    data{
+        int N;
+        vector[N] x;
+        vector[N] y;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+          mu = alpha + beta * x;
+    }
+    
+    model {
+        //Prioris
+        alpha ~ normal(0, 4);
+        beta ~ normal(0, 2);
+        sigma ~ lognormal(0, 1);
+
+      
+        // Likelihood
+        y ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] y_hat;
+        
+        for (i in 1:N){
+            log_lik[i] = normal_lpdf(y[i] | mu[i], sigma);
+            y_hat[i] = normal_rng(mu[i], sigma);
+        }
+        
+    }
+"""
+
+data = {
+    'N': N,
+    'x': x,
+    'y': y,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+
+
+
+
Building: found in cache, done.
+Sampling:   0%
+Sampling:  25% (2000/8000)
+Sampling:  50% (4000/8000)
+Sampling:  75% (6000/8000)
+Sampling: 100% (8000/8000)
+Sampling: 100% (8000/8000), done.
+Messages received during sampling:
+  Gradient evaluation took 8e-06 seconds
+  1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.
+  Adjust your expectations accordingly!
+  Gradient evaluation took 7e-06 seconds
+  1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.
+  Adjust your expectations accordingly!
+  Gradient evaluation took 8e-06 seconds
+  1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.
+  Adjust your expectations accordingly!
+  Gradient evaluation took 9e-06 seconds
+  1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.
+  Adjust your expectations accordingly!
+
+
+
+
+
+
+
az.plot_density(samples, var_names=['alpha', 'beta', 'sigma'])
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_18_0.png +
+
+
+
+
az.plot_forest(samples, var_names=["alpha", "beta", "sigma"])
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_19_0.png +
+
+
+
+
data = az.from_pystan(
+    posterior=samples,
+    posterior_predictive="y_hat",
+    observed_data=data,
+    log_likelihood={"y": "log_lik"},
+)
+
+data
+
+
+
+
+
+
+
+
arviz.InferenceData
+
+
    + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 100)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99
+Data variables:
+    alpha     (chain, draw) float64 4.695 4.638 4.398 ... 4.903 5.654 5.685
+    beta      (chain, draw) float64 3.166 3.122 3.141 ... 2.993 2.913 2.977
+    sigma     (chain, draw) float64 2.748 2.489 2.757 2.846 ... 2.892 2.63 2.63
+    mu        (chain, draw, mu_dim_0) float64 4.695 5.015 5.335 ... 35.15 35.45
+Attributes:
+    created_at:                 2023-03-14T14:36:10.990009
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:      (chain: 4, draw: 1000, y_hat_dim_0: 100)
+Coordinates:
+  * chain        (chain) int64 0 1 2 3
+  * draw         (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * y_hat_dim_0  (y_hat_dim_0) int64 0 1 2 3 4 5 6 7 ... 92 93 94 95 96 97 98 99
+Data variables:
+    y_hat        (chain, draw, y_hat_dim_0) float64 4.793 4.784 ... 36.33 36.13
+Attributes:
+    created_at:                 2023-03-14T14:36:11.114778
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 1000, y_dim_0: 100)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * y_dim_0  (y_dim_0) int64 0 1 2 3 4 5 6 7 8 9 ... 91 92 93 94 95 96 97 98 99
+Data variables:
+    y        (chain, draw, y_dim_0) float64 -1.971 -2.414 ... -3.144 -3.052
+Attributes:
+    created_at:                 2023-03-14T14:36:11.081201
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9182 0.9915 ... 0.9392 0.9739
+    step_size        (chain, draw) float64 0.425 0.425 0.425 ... 0.3668 0.3668
+    tree_depth       (chain, draw) int64 2 3 3 4 2 2 3 3 4 ... 3 3 3 2 2 2 2 3 3
+    n_steps          (chain, draw) int64 7 7 7 15 3 3 7 7 ... 7 15 7 7 7 3 9 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 155.9 155.2 155.7 ... 157.9 156.0
+    lp               (chain, draw) float64 -154.2 -154.9 ... -155.5 -154.4
+Attributes:
+    created_at:                 2023-03-14T14:36:11.037990
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

      +
    +
    +
    • + +
+
+
+
+
+
+
# Posteriori
+col=['r', 'b', 'g', 'c']
+
+for j in range(4):
+    for i in range(1000):
+        plt.plot(data.posterior.mu.values[j][i] + 10*j, c=col[j], lw=0.1)
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_21_0.png +
+
+
+
+
# Posteriori predictive
+
+col=['r', 'b', 'g', 'c']
+
+for j in range(4):
+    for i in range(1000):
+        plt.plot(data.posterior_predictive.y_hat[j][i] + 30*j, c=col[j], lw=0.1)
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_22_0.png +
+
+
+
+
# Log-Likelihood
+
+col=['r', 'b', 'g', 'c']
+
+for j in range(4):
+    for i in range(1000):
+        plt.plot(data.log_likelihood.y[j][i] + 10*j, c=col[j], lw=0.1)
+plt.show()
+
+
+
+
+_images/Arviz - Tutorial_23_0.png +
+
+
+
+
var_stats = [
+    'acceptance_rate',
+    'step_size',
+    'tree_depth',
+    'n_steps',
+    'diverging',
+    'energy'
+]
+
+for i in range(len(var_stats)):
+    plt.plot(data.sample_stats[var_stats[i]], c='b', lw=0.1)
+    plt.title(var_stats[i])
+    plt.show()
+
+
+
+
+_images/Arviz - Tutorial_24_0.png +_images/Arviz - Tutorial_24_1.png +_images/Arviz - Tutorial_24_2.png +_images/Arviz - Tutorial_24_3.png +_images/Arviz - Tutorial_24_4.png +_images/Arviz - Tutorial_24_5.png +
+
+
+

Trabalhando com InferenceData

+
+
+
posterior = data.posterior
+posterior
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 100)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99
+Data variables:
+    alpha     (chain, draw) float64 6.93 6.384 7.327 7.802 ... 7.236 6.87 6.73
+    beta      (chain, draw) float64 3.162 3.247 3.034 ... 3.121 3.147 3.183
+    sigma     (chain, draw) float64 3.21 3.939 3.982 4.139 ... 3.368 3.617 3.655
+    mu        (chain, draw, mu_dim_0) float64 6.93 7.25 7.569 ... 38.24 38.56
+Attributes:
+    created_at:                 2023-02-16T16:21:27.510605
+    arviz_version:              0.14.0
+    inference_library:          stan
+    inference_library_version:  3.6.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+
+
+
+
#observed_data = data.observed_data
+#observed_data
+
+
+
+
+
+
+
data.to_netcdf("example0.nc")
+
+
+
+
+
'example0.nc'
+
+
+
+
+
+
+
+

Trabalhando com InferenceData

+
+
+
import arviz as az
+import numpy as np
+import xarray as xr
+xr.set_options(display_expand_data=False, display_expand_attrs=False);
+
+
+
+
+
+
+
idata = az.load_arviz_data("centered_eight")
+idata
+
+
+
+
+
+
+
+
arviz.InferenceData
+
+
    + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 ...
+    theta    (chain, draw, school) float64 ...
+    tau      (chain, draw) float64 ...
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:              (chain: 4, draw: 500)
+Coordinates:
+  * chain                (chain) int64 0 1 2 3
+  * draw                 (draw) int64 0 1 2 3 4 5 6 ... 494 495 496 497 498 499
+Data variables: (12/16)
+    max_energy_error     (chain, draw) float64 ...
+    energy_error         (chain, draw) float64 ...
+    lp                   (chain, draw) float64 ...
+    index_in_trajectory  (chain, draw) int64 ...
+    acceptance_rate      (chain, draw) float64 ...
+    diverging            (chain, draw) bool ...
+    ...                   ...
+    smallest_eigval      (chain, draw) float64 ...
+    step_size_bar        (chain, draw) float64 ...
+    step_size            (chain, draw) float64 ...
+    energy               (chain, draw) float64 ...
+    tree_depth           (chain, draw) int64 ...
+    perf_counter_diff    (chain, draw) float64 ...
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    tau      (chain, draw) float64 ...
+    theta    (chain, draw, school) float64 ...
+    mu       (chain, draw) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    scores   (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
+
+
+
+
+
+
post = idata.posterior
+
+
+
+
+
+

Adicionando uma nova variável

+
+
+
post['log_tau'] = np.log(post['tau'])
+idata.posterior
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (chain: 4, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 ...
+    theta    (chain, draw, school) float64 ...
+    tau      (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461
+    log_tau  (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495
+Attributes: (6)
+
+
+
+

Combine as cadeias (chains) e amostras (draws)

+
+
+
stacked = az.extract(idata)
+stacked
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (sample: 2000, school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+  * sample   (sample) object MultiIndex
+  * chain    (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3
+  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499
+Data variables:
+    mu       (sample) float64 7.872 3.385 9.1 7.304 ... 1.859 1.767 3.486 3.404
+    theta    (school, sample) float64 12.32 11.29 5.709 ... -2.623 8.452 1.295
+    tau      (sample) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461
+    log_tau  (sample) float64 1.553 1.363 1.578 0.6188 ... 1.008 1.076 1.495
+Attributes: (6)
+
+
+
+

Obtendo um subconjunto aleatório de amostras

+
+
+
az.extract(idata, num_samples=100)
+
+# To set seed
+
+# az.extract(idata, num_samples=100, rng=3) 
+# az.extract(idata, group="log_likelihood", num_samples=100, rng=3)
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (sample: 100, school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+  * sample   (sample) object MultiIndex
+  * chain    (sample) int64 2 0 0 2 2 0 3 1 1 2 1 2 ... 0 2 2 0 1 3 3 3 0 0 0 2
+  * draw     (sample) int64 80 415 131 327 356 94 ... 438 289 126 438 279 213
+Data variables:
+    mu       (sample) float64 0.1698 7.208 6.205 1.471 ... 3.105 3.699 -0.455
+    theta    (school, sample) float64 3.016 16.78 6.035 ... -1.62 4.491 6.136
+    tau      (sample) float64 1.93 3.099 2.362 2.124 ... 2.216 3.228 2.405 4.897
+    log_tau  (sample) float64 0.6576 1.131 0.8595 0.7535 ... 1.172 0.8775 1.589
+Attributes: (6)
+
+
+
+

Obtendo um array Numpy de um parâmetro

+
+
+
stacked
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (sample: 2000, school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+  * sample   (sample) object MultiIndex
+  * chain    (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3
+  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499
+Data variables:
+    mu       (sample) float64 7.872 3.385 9.1 7.304 ... 1.859 1.767 3.486 3.404
+    theta    (school, sample) float64 12.32 11.29 5.709 ... -2.623 8.452 1.295
+    tau      (sample) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461
+    log_tau  (sample) float64 1.553 1.363 1.578 0.6188 ... 1.008 1.076 1.495
+Attributes: (6)
+
+
+
+
stacked.mu
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.DataArray 'mu' (sample: 2000)>
+7.872 3.385 9.1 7.304 9.88 7.042 10.38 ... -4.687 1.543 1.859 1.767 3.486 3.404
+Coordinates:
+  * sample   (sample) object MultiIndex
+  * chain    (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3
+  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499
+
+
+
+
stacked.mu.values  # Array numpy
+
+
+
+
+
array([7.87179637, 3.38455431, 9.10047569, ..., 1.76673325, 3.48611194,
+       3.40446391])
+
+
+
+
+
+
+

Obtendo o tamanho das dimensões

+
+
+
len(idata.observed_data.school)
+
+
+
+
+
8
+
+
+
+
+
+
+

Obtendo os valores das coordenadas

+
+
+
idata.observed_data.school
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.DataArray 'school' (school: 8)>
+'Choate' 'Deerfield' 'Phillips Andover' ... "St. Paul's" 'Mt. Hermon'
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+
+
+
+

Obtendo um subconjunto das cadeias (chains)

+
+
+
idata.sel(chain=[0, 2])
+
+
+
+
+
+
+
+
arviz.InferenceData
+
+
    + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 2, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 2
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 7.872 3.385 9.1 7.304 ... 2.871 4.096 1.776
+    theta    (chain, draw, school) float64 12.32 9.905 14.95 ... 2.363 -2.968
+    tau      (chain, draw) float64 4.726 3.909 4.844 1.857 ... 4.09 2.72 1.917
+    log_tau  (chain, draw) float64 1.553 1.363 1.578 ... 1.408 1.001 0.6508
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 2, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 2
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 2, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 2
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:              (chain: 2, draw: 500)
+Coordinates:
+  * chain                (chain) int64 0 2
+  * draw                 (draw) int64 0 1 2 3 4 5 6 ... 494 495 496 497 498 499
+Data variables: (12/16)
+    max_energy_error     (chain, draw) float64 ...
+    energy_error         (chain, draw) float64 ...
+    lp                   (chain, draw) float64 ...
+    index_in_trajectory  (chain, draw) int64 ...
+    acceptance_rate      (chain, draw) float64 ...
+    diverging            (chain, draw) bool ...
+    ...                   ...
+    smallest_eigval      (chain, draw) float64 ...
+    step_size_bar        (chain, draw) float64 ...
+    step_size            (chain, draw) float64 ...
+    energy               (chain, draw) float64 ...
+    tree_depth           (chain, draw) int64 ...
+    perf_counter_diff    (chain, draw) float64 ...
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    tau      (chain, draw) float64 ...
+    theta    (chain, draw, school) float64 ...
+    mu       (chain, draw) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    scores   (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
+
+
+
+
+
+

Removendo as primeiras n amostras (burn-in)

+
+
+
# Removendo as primeiras 100 amostras de todos os grupos
+idata.sel(draw=slice(100, None))
+
+# Aqui será removido as primeiras 100 amostras apenas do grupo selecionado
+# idata.sel(draw=slice(100, None), groups="posterior")
+
+
+
+
+
+
+
+
arviz.InferenceData
+
+
    + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 400, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 100 101 102 103 104 105 ... 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 11.7 8.118 -5.88 -7.149 ... 1.767 3.486 3.404
+    theta    (chain, draw, school) float64 14.23 9.72 9.195 ... 6.762 1.295
+    tau      (chain, draw) float64 4.289 2.765 2.457 1.719 ... 2.741 2.932 4.461
+    log_tau  (chain, draw) float64 1.456 1.017 0.8991 ... 1.008 1.076 1.495
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 400, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 100 101 102 103 104 105 ... 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 4, draw: 400, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 100 101 102 103 104 105 ... 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:              (chain: 4, draw: 400)
+Coordinates:
+  * chain                (chain) int64 0 1 2 3
+  * draw                 (draw) int64 100 101 102 103 104 ... 496 497 498 499
+Data variables: (12/16)
+    max_energy_error     (chain, draw) float64 ...
+    energy_error         (chain, draw) float64 ...
+    lp                   (chain, draw) float64 ...
+    index_in_trajectory  (chain, draw) int64 ...
+    acceptance_rate      (chain, draw) float64 ...
+    diverging            (chain, draw) bool ...
+    ...                   ...
+    smallest_eigval      (chain, draw) float64 ...
+    step_size_bar        (chain, draw) float64 ...
+    step_size            (chain, draw) float64 ...
+    energy               (chain, draw) float64 ...
+    tree_depth           (chain, draw) int64 ...
+    perf_counter_diff    (chain, draw) float64 ...
+Attributes: (6)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 400, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 100 101 102 103 104 105 ... 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    tau      (chain, draw) float64 ...
+    theta    (chain, draw, school) float64 ...
+    mu       (chain, draw) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (chain: 1, draw: 400, school: 8)
+Coordinates:
+  * chain    (chain) int64 0
+  * draw     (draw) int64 100 101 102 103 104 105 ... 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (chain, draw, school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    obs      (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
  • + + +
    +
    +
      +
      + + + + + + + + + + + + + + +
      <xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    scores   (school) float64 ...
+Attributes: (4)

      +
    +
    +
    • + +
+
+
+
+
+
+

Calculando a média dos valores das cadeias e das amostras

+
+
+
# Calculando a média de todas as dimensões da posteriori
+idata.posterior.mean()
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  ()
+Data variables:
+    mu       float64 4.486
+    theta    float64 4.912
+    tau      float64 4.124
+    log_tau  float64 1.173
+
+
+
+
# Calculandoa média apenas das dimensões 'chain' e 'draw'
+idata.posterior.mean(dim=['chain', 'draw'])
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (school: 8)
+Coordinates:
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       float64 4.486
+    theta    (school) float64 6.46 5.028 3.938 4.872 3.667 3.975 6.581 4.772
+    tau      float64 4.124
+    log_tau  float64 1.173
+
+
+
+

Calculando e armazenando a posteriori “pushforward” das quantidades

+
+
+
# Média móvel do log_tau de 50 posições
+post["mlogtau"] = post["log_tau"].rolling({'draw': 50}).mean()
+post
+
+
+
+
+
+ + + + + + + + + + + + + + +
<xarray.Dataset>
+Dimensions:  (chain: 4, draw: 500, school: 8)
+Coordinates:
+  * chain    (chain) int64 0 1 2 3
+  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499
+  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'
+Data variables:
+    mu       (chain, draw) float64 7.872 3.385 9.1 7.304 ... 1.767 3.486 3.404
+    theta    (chain, draw, school) float64 12.32 9.905 14.95 ... 6.762 1.295
+    tau      (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461
+    log_tau  (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495
+    mlogtau  (chain, draw) float64 nan nan nan nan ... 1.492 1.494 1.496 1.511
+Attributes: (6)
+
+
+
+
+ + + + +
+ + + +
+
+ +
+
+ +
+ + +
+
+ + + + + \ No newline at end of file diff --git a/Survival Analysis.html b/Survival Analysis.html new file mode 100644 index 0000000..e9f0dc9 --- /dev/null +++ b/Survival Analysis.html @@ -0,0 +1,3539 @@ + + + + + + + + Análise de Sobrevivência — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + + + + + +
+ +
+
+
+
+ + + + +
+ + +
+ + + + + + +
+
+ + + +
+ +
+ + + +
+
+ + + + + + + +
+ +
+ + + + + + +
+
+ +
+ + +
+ +
+ Contents +
+ +
+
+
+
+
+ +
+ +
+
+
import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
+
+
+
+
+
+
# Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
+
+
+
+
+
+
# To make plots like drawing 
+# plt.xkcd()
+
+
+
+
+
+
+
# To running the stan in jupyter notebook
+nest_asyncio.apply()
+
+
+
+
+
+

Análise de Sobrevivência

+

Análise de sobrevivência, também denominada análise de sobrevida[1], é um ramo da estatística que estuda o tempo de duração esperado até a ocorrência de um ou mais eventos, tais como morte em organismos biológicos e falha em sistemas mecânicos.

+

A análise de sobrevivência procura responder perguntas como:

+
    +

  • Qual é a proporção de uma população que sobreviverá depois de um certo tempo?

    • +

  • Daqueles que sobrevivem, a que ritmo eles vão morrer ou falhar?

    • +

  • Podem várias causas de morte ou falha ser levado em conta?

    • +

  • Como circunstâncias ou características específicas aumentam ou diminuem a probabilidade de sobrevivência?

    • +
+
+

Definições de termos comuns na análise de sobrevivência

+

Os seguintes termos são comumente usados em análises de sobrevivência:

+
    +

  • EVENTO - Morte, ocorrência de doença, recorrência da doença, recuperação ou outra experiência de interesse

    • +

  • TEMPO - O tempo desde o início de um período de observação (como cirurgia ou início de tratamento) até (i) ocorrer um evento, ou (ii) finalizar o estudo, ou (iii) ocorrer a perda de contato ou retirada do estudo.

    • +

  • CENSURA - Se um sujeito não experimenta um evento durante o tempo de observação ele será descrito como censurado. O sujeito é censurado no sentido em que nada é observado ou conhecido sobre ele após o tempo de censura. Um sujeito censurado pode ou não ter um evento após o final tempo de observação.

    • +

  • FUNÇÃO DE SOBREVIVÊNCIA - É uma função, S, que associa a cada tempo t o número S (t) que é a probabilidade de que um sujeito sobreviva além do tempo t.

    • +
+

Ref: Um modelo de sobrevivência em Stan - Eren M. Elçi

+
+
+
df = pd.read_csv('./data/mastectomy.csv', sep=",")
+df['event'] = [ 1 if event_i == True else 0 for event_i in df['event'] ]
+df.head(10)
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
timeeventmetastized
02310
14710
26910
37000
410000
510100
614810
718110
819800
920800
+
+
+

Mais precisamente, cada linha no conjunto de dados representa observações de uma mulher com diagnóstico de câncer de mama que foi submetida a mastectomia.

+

Legenda:

+
    +

  • A coluna time representa o tempo (em meses) pós-operatório em que a mulher foi observada.

    • +

  • A coluna event indica se a mulher morreu ou não durante o período de observação.

    • +

  • A coluna metastized representa se o câncer tinha metástase antes da cirurgia.

    • +
+
+
+

Descritiva

+
+
+
df.groupby(by=['metastized', 'event']).describe()
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
time
countmeanstdmin25%50%75%max
metastizedevent
007.0159.00000065.47518670.0100.5198.0210.0224.0
15.093.60000067.74806323.047.069.0148.0181.0
1011.0151.09090952.67343676.0108.0145.0200.0225.0
121.048.00000037.7531465.024.040.061.0143.0
+
+
+
+
+
df.groupby(by=['metastized', 'event']).count().plot.bar()
+plt.show()
+
+
+
+
+_images/Survival Analysis_12_0.png +
+
+
+
+

Modelo

+

Função de sobrevivência \(S(t)\):

+
+\[ S(t) = \mathbb{P} (T > t) = e^{-H(t)} \]
+

\(T :=\) é o tempo de sobrevivência de um indivíduo.

+

\((T > t):=\) Tempo (\(T\)) que o paciente sobreviveu além do tempo \(t\).

+

\(H(t):=\) definido como perigo acumulado.

+
+
+
model = """
+    data {
+        int<lower=1> N_uncensored;  // Number of individuals not censured - event == 1
+        int<lower=1> N_censored;  // Number of individuals censured - event == 0
+        int<lower=0> NC;  // Number of covariates
+        
+        matrix[N_censored, NC] X_censored;
+        matrix[N_uncensored, NC] X_uncensored;
+        
+        vector<lower=0>[N_censored] times_censored;  // time to censured event                         
+        vector<lower=0>[N_uncensored] times_uncensored;  // // time to non-censured event
+    }
+    
+    parameters {
+        vector[NC] betas;
+        real intercept;
+    }
+    
+    model {
+        // Prioris
+        betas ~ normal(0,2);                                                            
+        intercept ~ normal(-5,2);                                                     
+        
+        // Likelihood
+        target += exponential_lpdf(times_uncensored | exp(intercept + X_uncensored * betas)); 
+        target += exponential_lccdf(times_censored | exp(intercept + X_censored * betas));  
+    }
+"""
+
+
+
+
+
+
+
# Build the data dict to stan
+covariates_name = ['metastized']  # From the inputs user
+
+
+dat_list = {
+    'N_uncensored': len(df[df['event'] == 1]),
+    'N_censored': len(df[df['event'] == 0]),
+    'NC': len(covariates_name),
+    'X_censored': np.matrix(df.loc[df['event'] == 0, covariates_name]),
+    'X_uncensored': np.matrix(df.loc[df['event'] == 1, covariates_name]),
+    'times_censored': df.loc[df['event'] == 0, 'time'].values,
+    'times_uncensored': df.loc[df['event'] == 1, 'time'].values
+}
+
+
+
+
+
+
+
posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
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In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun.hpp:124,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/multiply.hpp:7,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/elt_multiply.hpp:9,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:55,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,
+                 from /home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:2:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_inc_beta.hpp:37:46:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:192:12: warning: unused variable ‘pre_mult’ [-Wunused-variable]
+  192 |       auto pre_mult = a2 * pow(1 - z, -1 - a2);
+      |            ^~~~~~~~
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/grad_inc_beta.hpp:49:51:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:192:12: warning: variable ‘pre_mult’ set but not used [-Wunused-but-set-variable]
+
+
+

+
+
+

+
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+
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+
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+
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+
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+
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+
+
+
/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp: In instantiation of ‘void model_32el76we_namespace::model_32el76we::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector<double, std::allocator<double> >; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:527:36:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:347:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+  347 |       int pos__ = std::numeric_limits<int>::min();
+      |           ^~~~~
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp: In instantiation of ‘void model_32el76we_namespace::model_32el76we::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:537:36:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:347:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]
+In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun.hpp:124,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/multiply.hpp:7,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/elt_multiply.hpp:9,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:55,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,
+                 from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,
+                 from /home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:2:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double>]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:205:78:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_inc_beta.hpp:37:46:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:68:10: warning: unused variable ‘log_precision’ [-Wunused-variable]
+   68 |   double log_precision = log(precision);
+      |          ^~~~~~~~~~~~~
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/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp: In instantiation of ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’:
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:205:78:   required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; ScalarT = stan::math::var_value<double>; TupleT = std::tuple<stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void>, stan::math::var_value<double, void> >]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:307:57:   required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = stan::math::var_value<double>; T2 = stan::math::var_value<double>; T3 = stan::math::var_value<double>; T_z = stan::math::var_value<double>; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/grad_inc_beta.hpp:49:51:   required from here
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/grad_2F1.hpp:68:10: warning: unused variable ‘log_precision’ [-Wunused-variable]
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/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp: In instantiation of ‘void model_32el76we_namespace::model_32el76we::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; VecVar = Eigen::Matrix<double, -1, 1>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:473:5:   required from ‘void model_32el76we_namespace::model_32el76we::write_array(RNG&, Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_base_crtp.hpp:141:61:   required from ‘void stan::model::model_base_crtp<M>::write_array(boost::random::ecuyer1988&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_32el76we_namespace::model_32el76we; boost::random::ecuyer1988 = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_base_crtp.hpp:136:8:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:305:20: warning: unused variable ‘jacobian__’ [-Wunused-variable]
+  305 |     constexpr bool jacobian__ = false;
+      |                    ^~~~~~~~~~
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp: In instantiation of ‘void model_32el76we_namespace::model_32el76we::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; VecR = std::vector<double, std::allocator<double> >; VecI = std::vector<int>; VecVar = std::vector<double, std::allocator<double> >; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]’:
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:489:5:   required from ‘void model_32el76we_namespace::model_32el76we::write_array(RNG&, std::vector<double, std::allocator<double> >&, std::vector<int>&, std::vector<double, std::allocator<double> >&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_base_crtp.hpp:203:70:   required from ‘void stan::model::model_base_crtp<M>::write_array(boost::random::ecuyer1988&, std::vector<double, std::allocator<double> >&, std::vector<int>&, std::vector<double, std::allocator<double> >&, bool, bool, std::ostream*) const [with M = model_32el76we_namespace::model_32el76we; boost::random::ecuyer1988 = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]’
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_base_crtp.hpp:198:8:   required from here
+/home/rodolpho/.cache/httpstan/4.10.1/models/32el76we/model_32el76we.cpp:305:20: warning: unused variable ‘jacobian__’ [-Wunused-variable]
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+
---------------------------------------------------------------------------
+AttributeError                            Traceback (most recent call last)
+/tmp/ipykernel_12381/2817695885.py in <module>
+      1 posteriori = stan.build(model, data=dat_list)
+----> 2 samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+AttributeError: 'NoneType' object has no attribute 'sample'
+
+
+
+
+
+
+
survival = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(dat_list.keys())
+)
+
+
+
+
+
+
+
az.summary(survival)
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
betas[0]0.8810.4580.0551.7750.0160.012922.01124.01.01
intercept-5.7650.410-6.534-5.0210.0140.0101000.0962.01.01
+
+
+
+
+
az.plot_forest(survival, var_names=['betas', 'intercept'], combined=True, figsize=(17, 5), hdi_prob=0.89)
+plt.show()
+
+
+
+
+_images/Survival Analysis_20_0.png +
+
+
+
+
import json
+
+a = {
+    'status': "done"
+}
+
+aaa = json.dumps(a)
+json.loads(aaa)
+
+
+
+
+
{'status': 'done'}
+
+
+
+
+
+
+
# https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.expon.html
+# scale = 1 / lambda
+
+x = np.linspace(0, max(df.time), 100)
+intercpt = survival.posterior.intercept.values.flatten()
+betas = survival.posterior.betas.values.flatten()
+
+lam_x0 = 1.0 / np.exp(intercpt + betas*0)
+lam_x1 = 1.0 / np.exp(intercpt + betas*1)
+
+y_x0 = np.array([stats.expon.sf(x_i, scale=lam_x0) for x_i in x])
+y_x1 = np.array([stats.expon.sf(x_i, scale=lam_x1) for x_i in x])
+
+y_x0_hdi = np.array([az.hdi(y_x0[i], hdi_prob=0.89) for i in range(len(y_x0))])
+y_x1_hdi = np.array([az.hdi(y_x1[i], hdi_prob=0.89) for i in range(len(y_x1))])
+
+# Graph
+# =====
+plt.figure(figsize=(17, 9))
+
+plt.plot(x, np.mean(y_x0, axis=1), color='blue', label='metastized=0')
+plt.fill_between(x, y_x0_hdi[:, 1], y_x0_hdi[:, 0], color='blue', alpha=0.3)
+
+plt.plot(x, np.mean(y_x1, axis=1), color='red', label='metastized=1')
+plt.fill_between(x, y_x1_hdi[:, 1], y_x1_hdi[:, 0], color='red', alpha=0.3)
+
+plt.ylim(-0.1, 1.1)
+plt.legend()
+plt.show()
+
+
+
+
+_images/Survival Analysis_22_0.png +
+
+
+
+
# Graph
+# =====
+plt.figure(figsize=(17, 9))
+
+plt.plot(x, np.mean(y_x0 - y_x1, axis=1), color='blue', label='metastized diff')
+plt.legend()
+plt.show()
+
+
+
+
+_images/Survival Analysis_23_0.png +
+
+
+
+ + + + +
+ + + +
+
+ +
+
+ +
+ + +
+
+ + + + + \ No newline at end of file diff --git a/Survival Analysis_STAN2.html b/Survival Analysis_STAN2.html new file mode 100644 index 0000000..322e2ca --- /dev/null +++ b/Survival Analysis_STAN2.html @@ -0,0 +1,1821 @@ + + + + + + + + Análise de Sobrevivência — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + + + + + +
+ +
+
+
+
+ + + + +
+ + +
+ + + + + + +
+
+ + + +
+ +
+ + + +
+
+ + + + + + + +
+ +
+ + + + + + +
+
+ +
+ + +
+ +
+ Contents +
+ +
+
+
+
+
+ +
+ +
+
+
import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+# import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+#az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import pystan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
+
+
+
+
---------------------------------------------------------------------------
+ModuleNotFoundError                       Traceback (most recent call last)
+/tmp/ipykernel_12469/116283454.py in <module>
+     18 import xarray as xr
+     19 
+---> 20 import pystan
+     21 import nest_asyncio
+     22 
+
+ModuleNotFoundError: No module named 'pystan'
+
+
+
+
+
+
+
# Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
+
+
+
+
+
+
# To make plots like drawing 
+plt.xkcd()
+
+
+
+
+
<contextlib.ExitStack at 0x7fc38465fa60>
+
+
+
+
+
+
+
# To running the stan in jupyter notebook
+nest_asyncio.apply()
+
+
+
+
+
+

Análise de Sobrevivência

+

Análise de sobrevivência, também denominada análise de sobrevida[1], é um ramo da estatística que estuda o tempo de duração esperado até a ocorrência de um ou mais eventos, tais como morte em organismos biológicos e falha em sistemas mecânicos.

+

A análise de sobrevivência procura responder perguntas como:

+
    +

  • Qual é a proporção de uma população que sobreviverá depois de um certo tempo?

    • +

  • Daqueles que sobrevivem, a que ritmo eles vão morrer ou falhar?

    • +

  • Podem várias causas de morte ou falha ser levado em conta?

    • +

  • Como circunstâncias ou características específicas aumentam ou diminuem a probabilidade de sobrevivência?

    • +
+
+

Definições de termos comuns na análise de sobrevivência

+

Os seguintes termos são comumente usados em análises de sobrevivência:

+
    +

  • EVENTO - Morte, ocorrência de doença, recorrência da doença, recuperação ou outra experiência de interesse

    • +

  • TEMPO - O tempo desde o início de um período de observação (como cirurgia ou início de tratamento) até (i) ocorrer um evento, ou (ii) finalizar o estudo, ou (iii) ocorrer a perda de contato ou retirada do estudo.

    • +

  • CENSURA - Se um sujeito não experimenta um evento durante o tempo de observação ele será descrito como censurado. O sujeito é censurado no sentido em que nada é observado ou conhecido sobre ele após o tempo de censura. Um sujeito censurado pode ou não ter um evento após o final tempo de observação.

    • +

  • FUNÇÃO DE SOBREVIVÊNCIA - É uma função, S, que associa a cada tempo t o número S (t) que é a probabilidade de que um sujeito sobreviva além do tempo t.

    • +
+

Ref: Um modelo de sobrevivência em Stan - Eren M. Elçi

+
+
+
df = pd.read_csv('./data/mastectomy.csv', sep=",")
+df['event'] = [ 1 if event_i == True else 0 for event_i in df['event'] ]
+df.head(10)
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
timeeventmetastized
02310
14710
26910
37000
410000
510100
614810
718110
819800
920800
+
+
+

Mais precisamente, cada linha no conjunto de dados representa observações de uma mulher com diagnóstico de câncer de mama que foi submetida a mastectomia.

+

Legenda:

+
    +

  • A coluna time representa o tempo (em meses) pós-operatório em que a mulher foi observada.

    • +

  • A coluna event indica se a mulher morreu ou não durante o período de observação.

    • +

  • A coluna metastized representa se o câncer tinha metástase antes da cirurgia.

    • +
+
+
+

Descritiva

+
+
+
df.groupby(by=['metastized', 'event']).describe()
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
time
countmeanstdmin25%50%75%max
metastizedevent
007.0159.00000065.47518670.0100.5198.0210.0224.0
15.093.60000067.74806323.047.069.0148.0181.0
1011.0151.09090952.67343676.0108.0145.0200.0225.0
121.048.00000037.7531465.024.040.061.0143.0
+
+
+
+
+
df.groupby(by=['metastized', 'event']).count().plot.bar()
+plt.show()
+
+
+
+
+
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+WARNING:matplotlib.font_manager:findfont: Font family 'Humor Sans' not found.
+WARNING:matplotlib.font_manager:findfont: Font family 'xkcd' not found.
+WARNING:matplotlib.font_manager:findfont: Font family 'Humor Sans' not found.
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+WARNING:matplotlib.font_manager:findfont: Font family 'xkcd' not found.
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+WARNING:matplotlib.font_manager:findfont: Font family 'xkcd' not found.
+WARNING:matplotlib.font_manager:findfont: Font family 'Humor Sans' not found.
+
+
+_images/Survival Analysis_STAN2_12_2.png +
+
+
+
+

Modelo

+

Função de sobrevivência \(S(t)\):

+
+\[ S(t) = \mathbb{P} (T > t) = e^{-H(t)} \]
+

\(T :=\) é o tempo de sobrevivência de um indivíduo.

+

\((T > t):=\) Tempo (\(T\)) que o paciente sobreviveu além do tempo \(t\).

+

\(H(t):=\) definido como perigo acumulado.

+
+
+
model = """
+    data {
+        int<lower=1> N_uncensored;  // Number of individuals not censured - event == 1
+        int<lower=1> N_censored;  // Number of individuals censured - event == 0
+        int<lower=0> NC;  // Number of covariates
+        
+        matrix[N_censored, NC] X_censored;
+        matrix[N_uncensored, NC] X_uncensored;
+        
+        vector<lower=0>[N_censored] times_censored;  // time to censured event                         
+        vector<lower=0>[N_uncensored] times_uncensored;  // // time to non-censured event
+    }
+    
+    parameters {
+        vector[NC] betas;
+        real intercept;
+    }
+    
+    model {
+        // Prioris
+        betas ~ normal(0,2);                                                            
+        intercept ~ normal(-5,2);                                                     
+        
+        // Likelihood
+        target += exponential_lpdf(times_uncensored | exp(intercept + X_uncensored * betas)); 
+        target += exponential_lccdf(times_censored | exp(intercept + X_censored * betas));  
+    }
+"""
+
+
+
+
+
+
+
# Build the data dict to stan
+covariates_name = ['metastized']  # From the inputs user
+
+
+dat_list = {
+    'N_uncensored': len(df[df['event'] == 1]),
+    'N_censored': len(df[df['event'] == 0]),
+    'NC': len(covariates_name),
+    'X_censored': np.matrix(df.loc[df['event'] == 0, covariates_name]),
+    'X_uncensored': np.matrix(df.loc[df['event'] == 1, covariates_name]),
+    'times_censored': df.loc[df['event'] == 0, 'time'].values,
+    'times_uncensored': df.loc[df['event'] == 1, 'time'].values
+}
+
+
+
+
+
+
+
# Using python2.19.1.1
+posteriori = pystan.StanModel(model_code=model)
+samples = posteriori.sampling(data=dat_list, iter=1000, chains=4)
+
+#posteriori = stan.build(model, data=dat_list)
+#samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+
+
+
+
INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_0cbcebb0f9e6eea6e6fc33541757524a NOW.
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:840:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
+   17 | #warning "Using deprecated NumPy API, disable it with " \
+      |  ^~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:336,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function ‘typename stan::return_type<T_x, T_alpha, T_beta>::type stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:64:59: warning: typedef ‘T_alpha_val’ locally defined but not used [-Wunused-local-typedefs]
+   64 |       typename partials_return_type<T_alpha>::type>::type T_alpha_val;
+      |                                                           ^~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix.hpp:19,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/odeint/util/ublas_wrapper.hpp:24,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/odeint.hpp:25,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr.hpp:46,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:344,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp: In member function ‘void boost::numeric::ublas::matrix_binary<E1, E2, F>::const_iterator1::increment(boost::numeric::ublas::sparse_bidirectional_iterator_tag)’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp:2224:17: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation]
+ 2224 |                 if (it2_ != it2_end_)
+      |                 ^~
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp:2227:21: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’
+ 2227 |                     if (it2_ != it2_end_) {
+      |                     ^~
+In file included from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:850:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan_fit.hpp: In function ‘int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector<long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&)’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan_fit.hpp:841:12: warning: ‘template<class> class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]
+  841 |       std::auto_ptr<stan::io::var_context> init_context_ptr;
+      |            ^~~~~~~~
+In file included from /usr/include/c++/9/memory:80,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/config/no_tr1/memory.hpp:21,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/smart_ptr/shared_ptr.hpp:23,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/shared_ptr.hpp:17,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/LDLT_factor.hpp:7,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:34,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/usr/include/c++/9/bits/unique_ptr.h:53:28: note: declared here
+   53 |   template<typename> class auto_ptr;
+      |                            ^~~~~~~~
+In file included from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:852:
+/tmp/pystan_xohfs5zw/anon_model_0cbcebb0f9e6eea6e6fc33541757524a.hpp: In member function ‘void anon_model_0cbcebb0f9e6eea6e6fc33541757524a_namespace::anon_model_0cbcebb0f9e6eea6e6fc33541757524a::transform_inits(const stan::io::var_context&, std::vector<int>&, std::vector<double>&, std::ostream*) const’:
+/tmp/pystan_xohfs5zw/anon_model_0cbcebb0f9e6eea6e6fc33541757524a.hpp:176:24: warning: typedef ‘local_scalar_t__’ locally defined but not used [-Wunused-local-typedefs]
+  176 |         typedef double local_scalar_t__;
+      |                        ^~~~~~~~~~~~~~~~
+/tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp: In function ‘PyObject* __pyx_pf_71stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461_2_call_sampler(PyObject*, PyObject*, PyObject*, PyObject*)’:
+/tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:9629:30: warning: comparison of integer expressions of different signedness: ‘Py_ssize_t’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
+ 9629 |     __pyx_t_12 = ((__pyx_t_9 != __pyx_v_fitptr->param_names_oi().size()) != 0);
+      |                    ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+
+
In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/cholesky_decompose.hpp:86:22:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:72:18:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::DenseBase<Derived>::Scalar = double]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:80:14:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 1, -1>; Derived = Eigen::Matrix<double, 1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/to_row_vector.hpp:35:10:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:797:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::mul_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Eigen::DenseBase<Derived>::Scalar = double]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:161:27:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+
+
+
In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, -1>; Src = Eigen::Matrix<stan::math::var, -1, -1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, -1, -1>; Derived = Eigen::Matrix<stan::math::var, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:451:10:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, -1, 1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, -1, 1>; SrcXprType = Eigen::Matrix<stan::math::var, -1, 1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, -1, 1>; Src = Eigen::Matrix<stan::math::var, -1, 1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, -1, 1>; Derived = Eigen::Matrix<stan::math::var, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:50:10:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::evaluator<Eigen::Matrix<stan::math::var, 1, -1> >, Eigen::internal::assign_op<stan::math::var, stan::math::var>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, 1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, 1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<stan::math::var, 1, -1>; SrcXprType = Eigen::Matrix<stan::math::var, 1, -1>; Functor = Eigen::internal::assign_op<stan::math::var, stan::math::var>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<stan::math::var, 1, -1>; Src = Eigen::Matrix<stan::math::var, 1, -1>; Func = Eigen::internal::assign_op<stan::math::var, stan::math::var>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<stan::math::var, 1, -1>; Derived = Eigen::Matrix<stan::math::var, 1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:75:10:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::div_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator/=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:273:39:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::div_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::div_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator/=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:274:47:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+
+
+
In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:290:24:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::internal::add_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::internal::add_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Functor = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Func = Eigen::internal::add_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Eigen::ArrayBase<Derived>::Scalar = double]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:291:28:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::mul_assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::mul_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::DenseBase<Derived>::Scalar = double]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:309:20:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+
+
+
In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:29:29:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:85:22:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:112:33:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:70:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:70:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:33:   required from here
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
+   86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
+      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
+   90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+      |                                                  ^~~~~~~~~~~~~~~~~~~~~~~~
+In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,
+                 from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,
+                 from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:
+/home/notebook/
+
+
+
---------------------------------------------------------------------------
+KeyboardInterrupt                         Traceback (most recent call last)
+Cell In[10], line 2
+      1 # Using python2.19.1.1
+----> 2 posteriori = pystan.StanModel(model_code=model)
+      3 samples = posteriori.sampling(data=dat_list, iter=1000, chains=4)
+      5 #posteriori = stan.build(model, data=dat_list)
+      6 #samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/model.py:378, in StanModel.__init__(self, file, charset, model_name, model_code, stanc_ret, include_paths, boost_lib, eigen_lib, verbose, obfuscate_model_name, extra_compile_args, allow_undefined, include_dirs, includes)
+    375     orig_stderr = pystan.misc._redirect_stderr()
+    377 try:
+--> 378     build_extension.run()
+    379 finally:
+    380     if redirect_stderr:
+    381         # restore stderr
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:345, in build_ext.run(self)
+    342     self.compiler.set_link_objects(self.link_objects)
+    344 # Now actually compile and link everything.
+--> 345 self.build_extensions()
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:467, in build_ext.build_extensions(self)
+    465     self._build_extensions_parallel()
+    466 else:
+--> 467     self._build_extensions_serial()
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:493, in build_ext._build_extensions_serial(self)
+    491 for ext in self.extensions:
+    492     with self._filter_build_errors(ext):
+--> 493         self.build_extension(ext)
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:548, in build_ext.build_extension(self, ext)
+    545 for undef in ext.undef_macros:
+    546     macros.append((undef,))
+--> 548 objects = self.compiler.compile(
+    549     sources,
+    550     output_dir=self.build_temp,
+    551     macros=macros,
+    552     include_dirs=ext.include_dirs,
+    553     debug=self.debug,
+    554     extra_postargs=extra_args,
+    555     depends=ext.depends,
+    556 )
+    558 # XXX outdated variable, kept here in case third-part code
+    559 # needs it.
+    560 self._built_objects = objects[:]
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/ccompiler.py:600, in CCompiler.compile(self, sources, output_dir, macros, include_dirs, debug, extra_preargs, extra_postargs, depends)
+    598     except KeyError:
+    599         continue
+--> 600     self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
+    602 # Return *all* object filenames, not just the ones we just built.
+    603 return objects
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/unixccompiler.py:185, in UnixCCompiler._compile(self, obj, src, ext, cc_args, extra_postargs, pp_opts)
+    183 compiler_so = compiler_fixup(self.compiler_so, cc_args + extra_postargs)
+    184 try:
+--> 185     self.spawn(compiler_so + cc_args + [src, '-o', obj] + extra_postargs)
+    186 except DistutilsExecError as msg:
+    187     raise CompileError(msg)
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/ccompiler.py:1041, in CCompiler.spawn(self, cmd, **kwargs)
+   1040 def spawn(self, cmd, **kwargs):
+-> 1041     spawn(cmd, dry_run=self.dry_run, **kwargs)
+
+File ~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/spawn.py:58, in spawn(cmd, search_path, verbose, dry_run, env)
+     56 try:
+     57     proc = subprocess.Popen(cmd, env=env)
+---> 58     proc.wait()
+     59     exitcode = proc.returncode
+     60 except OSError as exc:
+
+File /usr/lib/python3.8/subprocess.py:1083, in Popen.wait(self, timeout)
+   1081     endtime = _time() + timeout
+   1082 try:
+-> 1083     return self._wait(timeout=timeout)
+   1084 except KeyboardInterrupt:
+   1085     # https://bugs.python.org/issue25942
+   1086     # The first keyboard interrupt waits briefly for the child to
+   1087     # exit under the common assumption that it also received the ^C
+   1088     # generated SIGINT and will exit rapidly.
+   1089     if timeout is not None:
+
+File /usr/lib/python3.8/subprocess.py:1806, in Popen._wait(self, timeout)
+   1804 if self.returncode is not None:
+   1805     break  # Another thread waited.
+-> 1806 (pid, sts) = self._try_wait(0)
+   1807 # Check the pid and loop as waitpid has been known to
+   1808 # return 0 even without WNOHANG in odd situations.
+   1809 # http://bugs.python.org/issue14396.
+   1810 if pid == self.pid:
+
+File /usr/lib/python3.8/subprocess.py:1764, in Popen._try_wait(self, wait_flags)
+   1762 """All callers to this function MUST hold self._waitpid_lock."""
+   1763 try:
+-> 1764     (pid, sts) = os.waitpid(self.pid, wait_flags)
+   1765 except ChildProcessError:
+   1766     # This happens if SIGCLD is set to be ignored or waiting
+   1767     # for child processes has otherwise been disabled for our
+   1768     # process.  This child is dead, we can't get the status.
+   1769     pid = self.pid
+
+KeyboardInterrupt: 
+
+
+
+
+
+
+
samples
+
+
+
+
+
+
+
survival = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(dat_list.keys())
+)
+
+
+
+
+
+
+
az.summary(survival)
+
+
+
+
+
+
+
az.plot_forest(survival, var_names=['betas', 'intercept'], combined=True, figsize=(17, 5), hdi_prob=0.89)
+plt.show()
+
+
+
+
+
+
+
# https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.expon.html
+# scale = 1 / lambda
+
+x = np.linspace(0, max(df.time), 100)
+intercpt = survival.posterior.intercept.values.flatten()
+betas = survival.posterior.betas.values.flatten()
+
+lam_x0 = 1.0 / np.exp(intercpt + betas*0)
+lam_x1 = 1.0 / np.exp(intercpt + betas*1)
+
+y_x0 = np.array([stats.expon.sf(x_i, scale=lam_x0) for x_i in x])
+y_x1 = np.array([stats.expon.sf(x_i, scale=lam_x1) for x_i in x])
+
+y_x0_hdi = np.array([az.hdi(y_x0[i], hdi_prob=0.89) for i in range(len(y_x0))])
+y_x1_hdi = np.array([az.hdi(y_x1[i], hdi_prob=0.89) for i in range(len(y_x1))])
+
+# Graph
+# =====
+plt.figure(figsize=(17, 9))
+
+plt.plot(x, np.mean(y_x0, axis=1), color='blue', label='metastized=0')
+plt.fill_between(x, y_x0_hdi[:, 1], y_x0_hdi[:, 0], color='blue', alpha=0.3)
+
+plt.plot(x, np.mean(y_x1, axis=1), color='red', label='metastized=1')
+plt.fill_between(x, y_x1_hdi[:, 1], y_x1_hdi[:, 0], color='red', alpha=0.3)
+
+plt.ylim(-0.1, 1.1)
+plt.legend()
+plt.show()
+
+
+
+
+
+
+
# Graph
+# =====
+plt.figure(figsize=(17, 9))
+
+plt.plot(x, np.mean(y_x0 - y_x1, axis=1), color='blue', label='metastized diff')
+plt.legend()
+plt.show()
+
+
+
+
+
+
+ + + + +
+ + + +
+
+ +
+
+ +
+ + +
+
+ + + + + \ No newline at end of file diff --git a/Untitled1.html b/Untitled1.html new file mode 100644 index 0000000..cfbcb13 --- /dev/null +++ b/Untitled1.html @@ -0,0 +1,317 @@ + + + + + + + + <no title> — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + + + + + +
+ +
+
+
+
+ + + + +
+ + +
+ + + + + + +
+
+ + + +
+ +
+ + + +
+
+ + + + + + + +
+ +
+ + + + + + +
+
+ +
+ + +
+ +
+ Contents +
+ +
+
+
+
+
+ +
+ +
+
+
dia = {}
+
+
+
+
+
+
+
dia
+
+
+
+
+
{}
+
+
+
+
+ + + + +
+ + + +
+
+ +
+
+ +
+ + +
+
+ + + + + \ No newline at end of file diff --git a/Untitled2.html b/Untitled2.html new file mode 100644 index 0000000..0c7be54 --- /dev/null +++ b/Untitled2.html @@ -0,0 +1,12167 @@ + + + + + + + + <no title> — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + + + + + +
+ +
+
+
+
+ + + + +
+ + +
+ + + + + + +
+
+ + + +
+ +
+ + + +
+
+ + + + + + + +
+ +
+ + + + + + +
+
+ +
+ + +
+ +
+ Contents +
+ +
+
+
+
+
+ +
+ +
+
+
import pandas as pd
+import numpy as np
+
+
+
+
+
+
+
file_ = '/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx'
+
+file_
+
+
+
+
+
'/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx'
+
+
+
+
+
+
+
df = pd.read_excel(file_)
+
+
+
+
+
---------------------------------------------------------------------------
+FileNotFoundError                         Traceback (most recent call last)
+/tmp/ipykernel_12521/1272785412.py in <module>
+----> 1 df = pd.read_excel(file_)
+
+~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
+    309                     stacklevel=stacklevel,
+    310                 )
+--> 311             return func(*args, **kwargs)
+    312 
+    313         return wrapper
+
+~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, thousands, comment, skipfooter, convert_float, mangle_dupe_cols, storage_options)
+    362     if not isinstance(io, ExcelFile):
+    363         should_close = True
+--> 364         io = ExcelFile(io, storage_options=storage_options, engine=engine)
+    365     elif engine and engine != io.engine:
+    366         raise ValueError(
+
+~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in __init__(self, path_or_buffer, engine, storage_options)
+   1189                 ext = "xls"
+   1190             else:
+-> 1191                 ext = inspect_excel_format(
+   1192                     content_or_path=path_or_buffer, storage_options=storage_options
+   1193                 )
+
+~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in inspect_excel_format(content_or_path, storage_options)
+   1068         content_or_path = BytesIO(content_or_path)
+   1069 
+-> 1070     with get_handle(
+   1071         content_or_path, "rb", storage_options=storage_options, is_text=False
+   1072     ) as handle:
+
+~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
+    709         else:
+    710             # Binary mode
+--> 711             handle = open(handle, ioargs.mode)
+    712         handles.append(handle)
+    713 
+
+FileNotFoundError: [Errno 2] No such file or directory: '/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx'
+
+
+
+
+
+
+
df.head()
+
+
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
dataiditem
021-07-20151808fruta tropical
101-05-20152552leite inteiro
219-09-20152300fruta semente
312-12-20151187outros vegetais
401-02-20153037leite inteiro
+
+
+
+
+
ids = df['id'].unique()
+
+list_sales = [ df[df['id'] == id_i][' item'].to_list() for id_i in ids ]
+             
+list_sales              
+
+
+
+
+
[[' fruta tropical',
+  ' produto de panificação longa vida',
+  ' carne',
+  ' açúcar',
+  ' rolos/pãezinhos',
+  ' pão semi-acabado',
+  ' leite inteiro',
+  ' citrino',
+  ' doce',
+  ' guardanapos'],
+ [' leite inteiro',
+  ' manteiga',
+  ' produtos sanitários femininos',
+  ' vasos de plantas',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' sacolas de compras',
+  ' chocolate',
+  ' chocolate',
+  ' café',
+  ' artigos de higiene'],
+ [' fruta semente',
+  ' salsicha',
+  ' salsicha',
+  ' carne de porco',
+  ' outros vegetais',
+  ' vinho branco',
+  ' produto de panificação longa vida',
+  ' suco de frutas/legumes',
+  ' farinha',
+  ' artigos de higiene'],
+ [' outros vegetais',
+  ' refrigerante',
+  ' citrino',
+  ' cebola',
+  ' refrigerante',
+  ' ovos domésticos',
+  ' sacolas de compras'],
+ [' leite inteiro',
+  ' película aderente/sacos',
+  ' outros vegetais',
+  ' presunto',
+  ' pão branco'],
+ [' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' cerveja engarrafada',
+  ' presunto',
+  ' café',
+  ' leite inteiro',
+  ' licor',
+  ' iogurte',
+  ' vinho branco',
+  ' carne',
+  ' citrino',
+  ' carne de hamburguer',
+  ' legumes em conserva',
+  ' lanche salgado',
+  ' ovos domésticos',
+  ' refrigerante',
+  ' cerveja em lata',
+  ' jornais',
+  ' massa',
+  ' refrigerante',
+  ' Soro de leite coalhado',
+  ' pão branco',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' marshmallow de chocolate'],
+ [' outros vegetais',
+  ' outros vegetais',
+  ' Soro de leite coalhado',
+  ' fruta tropical',
+  ' pão integral',
+  ' frango',
+  ' água engarrafada',
+  ' carne de porco',
+  ' bagas',
+  ' refrigerante',
+  ' Queijo processado',
+  ' sobremesa',
+  ' sacolas de compras'],
+ [' vasos de plantas',
+  ' sobremesa',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' frango',
+  ' suco de frutas/legumes',
+  ' frango',
+  ' manteiga',
+  ' citrino',
+  ' fruta tropical',
+  ' bagas',
+  ' fruta semente',
+  ' vinagre',
+  ' jornais',
+  ' outros vegetais',
+  ' cuidados com a pele',
+  ' goma de mascar',
+  ' chantilly/creme azedo',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' descalcificante',
+  ' sobremesa',
+  ' pastelaria',
+  ' barra de especialidade',
+  ' leite inteiro',
+  ' carne bovina',
+  ' vinho tinto/blush',
+  ' jornais'],
+ [' fruta tropical',
+  ' leite inteiro',
+  ' carne bovina',
+  ' Requeijão cremoso',
+  ' citrino',
+  ' cebola',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' refrigerante'],
+ [' citrino',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' mostarda',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' pão integral',
+  ' leite inteiro',
+  ' vasos de plantas',
+  ' farinha',
+  ' rolos/pãezinhos',
+  ' pastelaria'],
+ [' carne bovina',
+  ' vegetais de raiz',
+  ' carne de hamburguer',
+  ' pastelaria',
+  ' citrino',
+  ' cerveja engarrafada',
+  ' cebola',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' carne bovina',
+  ' barra de especialidade',
+  ' fruta semente',
+  ' chocolate especial',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' licor (aperitivo)',
+  ' leite inteiro',
+  ' iogurte',
+  'waffles',
+  ' chocolate',
+  ' cerveja engarrafada',
+  ' sobremesa',
+  ' pastelaria',
+  ' película aderente/sacos',
+  ' doce',
+  ' queijo fatiado',
+  ' leite inteiro'],
+ [' salsicha',
+  ' salsicha',
+  ' citrino',
+  ' limpador',
+  ' presunto',
+  ' refrigerante',
+  ' bagas',
+  ' cerveja em lata',
+  ' água engarrafada',
+  ' fruta semente',
+  ' fruta semente',
+  ' jornais',
+  ' pão branco',
+  ' Queijo processado',
+  ' pastelaria',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' bebidas',
+  ' legumes em conserva',
+  ' pão integral',
+  ' refrigerante'],
+ [' frango',
+  ' carne bovina',
+  ' fruta tropical',
+  ' óleo',
+  ' outros vegetais',
+  'waffles',
+  ' fruta semente',
+  ' chantilly/creme azedo',
+  ' Margarina',
+  ' legumes em conserva',
+  ' pão integral'],
+ [' manteiga',
+  ' carne bovina',
+  ' outros vegetais',
+  ' pastelaria',
+  ' outros vegetais',
+  ' refrigerante',
+  ' cebola',
+  ' iogurte',
+  ' produtos sazonais',
+  ' coalhada',
+  ' leite UHT'],
+ [' suco de frutas/legumes',
+  ' citrino',
+  ' pastelaria',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' carne de hamburguer',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' pastelaria',
+  ' queijo macio',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' pão semi-acabado',
+  ' chocolate especial',
+  ' amaciante',
+  ' rolos/pãezinhos',
+  ' vasos de plantas',
+  ' água engarrafada'],
+ [' fruta/legumes embalados',
+  ' peixe',
+  ' Refeições congeladas',
+  ' chocolate especial',
+  ' pão integral'],
+ [' chocolate',
+  ' salsicha',
+  ' limpador abrasivo',
+  ' doce',
+  ' salsicha',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' pastelaria',
+  ' citrino',
+  ' iogurte',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' Margarina',
+  ' vegetais congelados',
+  ' sacolas de compras',
+  ' rolos/pãezinhos',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' vegetais enlatados',
+  ' leite UHT'],
+ [' barra de especialidade',
+  ' salsicha',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' guardanapos',
+  ' cerveja engarrafada',
+  ' outros vegetais',
+  ' espumante',
+  ' cerveja engarrafada',
+  ' chocolate'],
+ [' outros vegetais',
+  ' suco de frutas/legumes',
+  ' açúcar',
+  ' refrigerante',
+  ' presunto',
+  ' fruta tropical',
+  ' salsicha',
+  ' foto/filme',
+  ' comida de gato',
+  ' produtos sazonais',
+  ' produtos sazonais',
+  ' salsicha',
+  ' outros vegetais',
+  ' cebola',
+  ' leite inteiro',
+  ' manteiga',
+  ' ovos domésticos',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' sopas',
+  ' doce',
+  ' goma de mascar',
+  ' sacolas de compras',
+  ' produtos sazonais',
+  ' Requeijão cremoso',
+  ' iogurte'],
+ [' Soro de leite coalhado',
+  ' salsicha',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' carne',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' coalhada',
+  ' fruta semente',
+  ' citrino',
+  ' manteiga',
+  ' refrigerante',
+  ' Refeições congeladas',
+  ' Refeições congeladas',
+  ' chantilly/creme azedo',
+  ' lanche salgado',
+  ' produto de panificação longa vida'],
+ [' leite inteiro',
+  ' frango',
+  ' manteiga',
+  ' peru',
+  ' água engarrafada',
+  ' queijo macio',
+  ' outros vegetais',
+  ' frango',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' outros vegetais',
+  ' citrino',
+  ' cerveja em lata',
+  ' lanche salgado',
+  ' vegetais enlatados'],
+ [' fruta tropical',
+  ' salsicha',
+  ' carne de porco',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' pão branco',
+  ' café',
+  ' molhos',
+  ' iogurte',
+  ' queijo fatiado',
+  ' manteiga',
+  ' rolos/pãezinhos',
+  ' café',
+  ' chantilly/creme azedo'],
+ [' fruta tropical',
+  ' leite inteiro',
+  ' iogurte',
+  ' carne',
+  ' outros vegetais',
+  ' queijo duro',
+  ' bagas',
+  ' ovos domésticos',
+  ' fermento em pó'],
+ [' água engarrafada',
+  ' misc. bebidas',
+  ' salsicha',
+  ' fruta tropical',
+  ' pastelaria',
+  ' licor',
+  ' chocolate especial'],
+ [' iogurte',
+  ' fruta tropical',
+  ' fruta/legumes embalados',
+  ' frango',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' licor',
+  ' vegetais de raiz',
+  ' ervas',
+  ' goma de mascar',
+  ' ovos domésticos',
+  ' Requeijão cremoso',
+  ' lanche salgado',
+  ' refrigerante',
+  ' iogurte'],
+ [' salsicha',
+  ' frango',
+  ' ovos domésticos',
+  ' coalhada',
+  ' barra de bolo',
+  ' pastelaria',
+  ' chantilly/creme azedo'],
+ [' outros vegetais',
+  ' coalhada',
+  ' cerveja em lata',
+  ' lanche salgado',
+  ' ovos domésticos',
+  ' xarope',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' jornais',
+  ' comida de gato',
+  ' óleo'],
+ [' pão integral',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' carne',
+  ' espalhar queijo',
+  ' citrino',
+  ' foto/filme',
+  ' manteiga',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' suco de frutas/legumes'],
+ [' iogurte',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' especiarias',
+  ' peixe enlatado'],
+ [' carne de hamburguer',
+  ' cerveja engarrafada',
+  ' película aderente/sacos',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' carne bovina',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' coalhada',
+  ' chantilly/creme azedo',
+  ' iogurte',
+  ' goma de mascar',
+  ' leite inteiro',
+  ' arroz',
+  ' leite UHT',
+  ' outros vegetais',
+  ' gordura especial',
+  ' chocolate',
+  ' café',
+  ' toalhas de cozinha'],
+ [' vegetais de raiz',
+  ' bagas',
+  ' salsicha',
+  ' carne de porco',
+  ' citrino',
+  ' carne de porco',
+  ' pastelaria',
+  ' carne de porco',
+  'waffles',
+  ' outros vegetais',
+  ' ervas',
+  ' pastelaria',
+  ' iogurte',
+  ' carne de porco',
+  ' vegetais enlatados',
+  ' xarope',
+  ' comida de gato',
+  ' queijo especial',
+  ' suco de frutas/legumes',
+  ' ervas',
+  ' produto de panificação longa vida'],
+ [' carne de porco',
+  ' coalhada',
+  ' frango',
+  ' legumes em conserva',
+  ' outros vegetais',
+  ' licor (aperitivo)',
+  ' coalhada',
+  ' cebola',
+  ' queijo duro'],
+ [' carne bovina',
+  ' citrino',
+  ' salsicha',
+  ' guardanapos',
+  ' pão semi-acabado',
+  ' outros vegetais',
+  ' pão integral'],
+ [' pastelaria',
+  ' água engarrafada',
+  ' açúcar',
+  ' frango',
+  ' salsicha',
+  ' pratos',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' cerveja em lata'],
+ [' cerveja em lata',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' sacolas de compras',
+  ' vegetais congelados',
+  ' sobremesa',
+  ' produto de panificação longa vida',
+  ' sobremesa',
+  ' limpador de prato',
+  ' doce',
+  ' Queijo processado',
+  ' vegetais enlatados'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' chantilly/creme azedo',
+  ' carne',
+  ' barra de especialidade',
+  ' fruta/legumes embalados',
+  ' misc. bebidas',
+  ' outros vegetais',
+  ' artigos de higiene'],
+ [' citrino',
+  ' leite inteiro',
+  ' salsicha',
+  ' presunto',
+  ' fruta semente',
+  ' queijo macio',
+  ' vinho tinto/blush',
+  ' refrigerante',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' pão integral',
+  ' peixe enlatado',
+  ' lanche salgado',
+  ' chocolate especial',
+  ' chantilly/creme azedo',
+  ' iogurte'],
+ [' salsicha',
+  ' sobremesa',
+  ' sorvete',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' carne',
+  ' barra de especialidade',
+  ' jornais',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' iogurte',
+  ' Refeições congeladas',
+  ' água engarrafada',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  ' chantilly/creme azedo'],
+ [' fruta tropical',
+  ' fruta tropical',
+  ' carne de porco',
+  ' leite UHT',
+  ' cerveja engarrafada',
+  ' Requeijão cremoso',
+  ' bebidas',
+  ' leite UHT',
+  ' arroz',
+  ' jornais',
+  ' produtos sazonais',
+  ' jornais',
+  ' Soro de leite coalhado',
+  ' água engarrafada'],
+ [' bagas',
+  ' salsicha',
+  ' presunto',
+  ' carne de porco',
+  ' vinagre',
+  ' Margarina',
+  ' queijo especial',
+  ' leite inteiro',
+  ' iogurte',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' manteiga',
+  ' leite UHT',
+  ' pão integral',
+  ' jornais',
+  ' ovos domésticos',
+  ' pão integral'],
+ [' cerveja em lata',
+  ' outros vegetais',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' vegetais de raiz',
+  ' artigos de higiene',
+  ' rolos/pãezinhos',
+  ' sobremesa',
+  ' Leite condensado',
+  ' suco de frutas/legumes',
+  ' água engarrafada',
+  ' produtos sazonais',
+  ' Margarina',
+  ' fermento em pó',
+  ' suco de frutas/legumes',
+  ' cuidados com a pele',
+  ' artigos de higiene',
+  ' suco de frutas/legumes'],
+ [' Soro de leite coalhado',
+  ' cerveja em lata',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' pão semi-acabado',
+  ' rolos/pãezinhos',
+  ' Margarina'],
+ [' café',
+  ' leite inteiro',
+  ' bagas',
+  ' Margarina',
+  ' refrigerante',
+  ' guardanapos',
+  ' ovos domésticos',
+  ' comida de gato',
+  ' outros vegetais',
+  ' uvas',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' outros vegetais',
+  ' leite UHT',
+  ' chocolate especial',
+  ' refrigerante',
+  ' leite inteiro',
+  ' Margarina',
+  ' leite inteiro',
+  ' pastelaria',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' pastelaria',
+  ' pastas de carne',
+  ' ovos domésticos',
+  ' comida de gato',
+  ' legumes em conserva'],
+ [' pastelaria',
+  ' carne',
+  ' citrino',
+  ' refrigerante',
+  ' outros vegetais',
+  ' Leite condensado',
+  ' leite UHT',
+  ' fruta tropical',
+  ' arroz',
+  ' outros vegetais',
+  ' pão integral',
+  ' jornais',
+  ' barra de especialidade',
+  ' fruta tropical',
+  ' pão branco',
+  ' açúcar',
+  ' marshmallow de chocolate'],
+ [' rolos/pãezinhos',
+  ' pão de fígado',
+  ' Margarina',
+  ' frango',
+  ' outros vegetais',
+  ' citrino',
+  ' chantilly/creme azedo',
+  ' jornais',
+  ' água engarrafada',
+  ' cerveja em lata',
+  ' doce',
+  ' refrigerante',
+  ' fermento em pó',
+  ' vinho branco'],
+ [' misc. bebidas',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' limpador de prato',
+  ' rolos/pãezinhos',
+  ' salsicha',
+  ' fruta semente',
+  ' vegetais congelados',
+  ' outros vegetais',
+  ' toalhas de cozinha',
+  ' refrigerante',
+  ' bebidas',
+  ' manteiga',
+  ' outros vegetais',
+  ' Leite condensado'],
+ [' vegetais de raiz',
+  ' cerveja em lata',
+  ' peixe congelado',
+  ' carne de porco',
+  ' pão integral',
+  ' refrigerante',
+  ' água engarrafada',
+  ' café',
+  ' café',
+  ' pastelaria',
+  ' produto de panificação longa vida',
+  ' cerveja em lata',
+  ' pastelaria'],
+ [' salsicha',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' bagas',
+  ' outros vegetais',
+  ' pão semi-acabado',
+  ' sacolas de compras',
+  ' cerveja engarrafada',
+  ' iogurte'],
+ [' cerveja em lata',
+  ' pastelaria',
+  ' água engarrafada',
+  ' cerveja em lata',
+  ' frango',
+  ' vegetais de raiz',
+  ' carne',
+  ' leite inteiro',
+  ' refrigerante',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' comida de gato',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' jornais'],
+ [' presunto',
+  ' goma de mascar',
+  ' salsicha',
+  ' leite inteiro',
+  ' frango',
+  ' carne',
+  ' massa',
+  ' Leite condensado',
+  ' outros vegetais',
+  ' bebidas',
+  ' artigos de higiene',
+  ' outros vegetais',
+  ' leite UHT',
+  ' vasos de plantas',
+  ' licor',
+  ' sobremesa congelada',
+  ' chantilly/creme azedo',
+  ' açúcar',
+  ' fruta semente'],
+ [' peru',
+  ' citrino',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' açúcar',
+  ' Refeições congeladas',
+  ' iogurte',
+  ' comida de gato',
+  ' refrigerante',
+  ' cerveja em lata',
+  ' Queijo processado',
+  ' outros vegetais',
+  ' espalhar queijo',
+  ' peixe enlatado'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' carne bovina',
+  ' bebidas',
+  ' vegetais de raiz',
+  ' Produtos alimentares instantâneos',
+  ' suco de frutas/legumes',
+  ' queijo duro',
+  ' chocolate',
+  ' sobremesa',
+  ' cerveja engarrafada',
+  ' Margarina'],
+ [' leite inteiro',
+  ' vegetais de raiz',
+  ' frango',
+  ' vegetais de raiz',
+  ' chocolate especial',
+  ' salsicha',
+  ' salsicha',
+  ' vegetais congelados',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' cerveja em lata',
+  ' requeijão',
+  ' lanches',
+  ' peixe congelado',
+  ' chocolate'],
+ [' fruta/legumes embalados',
+  ' cereais',
+  ' sorvete',
+  ' goma de mascar',
+  ' carne bovina',
+  ' presunto',
+  ' vegetais congelados',
+  ' iogurte',
+  ' Leite condensado',
+  ' cerveja em lata',
+  ' refrigerante'],
+ [' rolos/pãezinhos',
+  ' cebola',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' cerveja engarrafada',
+  ' carne de hamburguer',
+  ' iogurte',
+  ' licor',
+  ' legumes em conserva'],
+ [' presunto',
+  ' frango',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' farinha',
+  ' outros vegetais',
+  ' guardanapos'],
+ [' rolos/pãezinhos',
+  ' vegetais enlatados',
+  ' cerveja em lata',
+  ' doce',
+  ' marshmallow de chocolate',
+  ' manteiga',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' goma de mascar',
+  ' Refeições congeladas',
+  ' iogurte',
+  ' produto de panificação longa vida',
+  ' Margarina'],
+ [' outros vegetais',
+  ' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' pão integral',
+  ' cebola',
+  ' produtos sazonais',
+  ' uvas',
+  ' queijo duro',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  'waffles',
+  ' cuidado dental'],
+ [' salsicha',
+  ' carne',
+  ' carne de porco',
+  ' presunto',
+  ' citrino',
+  ' pastelaria',
+  ' manteiga',
+  ' outros vegetais',
+  ' pão integral',
+  ' Queijo processado',
+  ' barra de especialidade',
+  ' peixe congelado',
+  ' cerveja em lata',
+  ' lanche salgado'],
+ [' salsicha',
+  ' salsicha',
+  ' fruta semente',
+  ' refrigerante',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' manteiga',
+  ' cebola',
+  ' artigos de higiene',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' frango',
+  ' outros vegetais',
+  ' sorvete',
+  ' refrigerante'],
+ [' salsicha',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' carne bovina',
+  ' uvas',
+  ' cerveja em lata',
+  ' manteiga',
+  ' suco de frutas/legumes',
+  ' iogurte',
+  ' pão semi-acabado'],
+ [' rolos/pãezinhos',
+  ' carne de porco',
+  ' fruta tropical',
+  ' cebola',
+  ' iogurte',
+  ' manteiga',
+  ' iogurte',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' queijo macio',
+  ' ervas',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' ovos domésticos',
+  ' Refeições congeladas',
+  ' carne',
+  ' citrino',
+  ' salsicha',
+  ' outros vegetais',
+  ' carne bovina',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' café',
+  ' chantilly/creme azedo',
+  ' manteiga',
+  ' vasos de plantas',
+  ' Refeições congeladas',
+  ' produto de panificação longa vida',
+  ' leite inteiro',
+  ' açúcar',
+  ' vegetais congelados',
+  ' suco de frutas/legumes',
+  ' vegetais congelados',
+  ' vegetais enlatados'],
+ [' requeijão',
+  ' carne',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' iogurte',
+  ' ervas',
+  ' água engarrafada',
+  ' suco de frutas/legumes',
+  ' maionese',
+  ' chá',
+  ' zwieback'],
+ [' vinho tinto/blush',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' cerveja engarrafada',
+  ' requeijão',
+  ' iogurte',
+  ' fruta semente',
+  ' pão integral',
+  ' leite inteiro',
+  ' vinho tinto/blush',
+  ' água engarrafada',
+  ' mostarda',
+  ' guardanapos',
+  ' Margarina'],
+ [' salsicha',
+  ' leite inteiro',
+  ' bagas',
+  ' leite inteiro',
+  ' pastelaria',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' produtos sazonais',
+  ' misc. bebidas',
+  ' artigos de higiene',
+  ' refrigerante',
+  ' bagas',
+  ' produto de panificação longa vida',
+  ' limpador de prato',
+  ' barra de especialidade',
+  ' ovos domésticos',
+  ' iogurte',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' café',
+  ' água engarrafada'],
+ [' fruta tropical', ' iogurte', ' fruta semente', ' iogurte', ' iogurte'],
+ [' vinho tinto/blush',
+  ' cerveja em lata',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' queijo macio',
+  ' leite inteiro',
+  ' sobremesa',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' refrigerante',
+  ' outros vegetais',
+  ' iogurte',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' refrigerante',
+  ' pastelaria',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' iogurte',
+  ' água engarrafada',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' vegetais de raiz',
+  ' chocolate especial',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' refrigerante',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' cerveja em lata',
+  ' Margarina',
+  ' sacolas de compras',
+  ' refrigerante',
+  ' água engarrafada',
+  ' óleo',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' misc. bebidas',
+  ' manteiga',
+  ' zwieback',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' Margarina',
+  ' licor',
+  ' jornais',
+  ' água engarrafada',
+  ' água engarrafada'],
+ [' leite inteiro',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' queijo especial',
+  ' ovos domésticos',
+  ' goma de mascar'],
+ [' produtos de batata congelada',
+  ' citrino',
+  ' farinha',
+  ' pastelaria',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' salsicha',
+  ' uvas',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' pão integral',
+  ' Requeijão cremoso',
+  ' citrino',
+  ' vinho tinto/blush',
+  ' sobremesa',
+  ' leite inteiro',
+  ' produtos de rolo',
+  ' uvas',
+  ' outros vegetais',
+  ' comida de gato',
+  ' chocolate',
+  ' cerveja engarrafada',
+  ' legumes em conserva',
+  ' misc. bebidas',
+  ' vegetais congelados',
+  ' detergente',
+  ' sal'],
+ [' outros vegetais',
+  ' leite inteiro',
+  ' iogurte',
+  ' coalhada',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' iogurte',
+  ' queijo duro',
+  ' sacolas de compras',
+  ' Margarina',
+  ' vegetais congelados',
+  ' cuidados com a pele',
+  ' cerveja engarrafada'],
+ [' citrino',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' salsicha',
+  ' iogurte',
+  ' água engarrafada',
+  ' lanche salgado',
+  ' pão branco',
+  ' Queijo processado',
+  ' jornais',
+  ' cerveja em lata',
+  ' iogurte',
+  ' vinho branco',
+  ' bebidas'],
+ [' farinha',
+  ' iogurte',
+  ' carne de porco',
+  ' carne de porco',
+  ' iogurte',
+  ' manteiga',
+  ' chantilly/creme azedo',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  ' queijo duro'],
+ [' açúcar',
+  ' bebidas',
+  ' rolos/pãezinhos',
+  ' vegetais enlatados',
+  ' leite inteiro',
+  ' uvas',
+  ' farinha',
+  ' salsicha',
+  ' pão branco',
+  ' água engarrafada',
+  ' Pipoca',
+  ' rolos/pãezinhos',
+  ' lanche salgado'],
+ [' Refeições congeladas',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' frango',
+  ' salsicha',
+  ' chantilly/creme azedo',
+  ' pão branco',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' farinha',
+  ' farinha',
+  ' cerveja engarrafada',
+  ' açúcar'],
+ [' chocolate',
+  ' jornais',
+  ' carne de porco',
+  ' fruta semente',
+  ' refrigerante',
+  ' citrino',
+  ' óleo',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' pão branco',
+  ' outros vegetais',
+  ' uvas',
+  ' água engarrafada',
+  ' leite UHT',
+  'waffles',
+  ' vegetais congelados'],
+ [' vegetais de raiz',
+  ' produtos finalizados',
+  ' suco de frutas/legumes',
+  ' salsicha',
+  ' vegetais especiais',
+  ' Requeijão cremoso',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' coalhada',
+  ' iogurte',
+  ' leite UHT',
+  ' pastelaria'],
+ [' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' jornais',
+  ' leite inteiro',
+  ' licor',
+  ' fruta/legumes embalados',
+  ' vegetais congelados',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' chocolate especial',
+  ' artigos de higiene',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' produtos sazonais',
+  ' ovos domésticos',
+  ' amaciante'],
+ [' ervas',
+  ' salsicha',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' carne de porco',
+  ' suco de frutas/legumes',
+  ' carne bovina',
+  ' comida de gato',
+  ' requeijão',
+  ' açúcar',
+  ' queijo duro',
+  ' vinho branco',
+  ' outros vegetais',
+  ' queijo duro',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' iogurte',
+  ' jornais',
+  ' queijo macio',
+  ' rolos/pãezinhos',
+  ' produto de panificação longa vida',
+  ' leite UHT',
+  ' doce'],
+ [' água engarrafada',
+  ' manteiga',
+  ' iogurte',
+  ' frango',
+  ' Queijo processado',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' vegetais congelados'],
+ [' salsicha',
+  ' cerveja engarrafada',
+  ' café',
+  ' leite inteiro',
+  ' peru',
+  ' salsicha',
+  ' fruta semente',
+  ' ervas',
+  ' fruta tropical',
+  ' uvas',
+  ' fruta/legumes embalados',
+  ' espalhar queijo',
+  ' chocolate',
+  ' vegetais congelados'],
+ [' café',
+  ' vegetais de raiz',
+  ' peixe',
+  ' maionese',
+  ' outros vegetais',
+  ' salsicha',
+  ' salsicha',
+  ' presunto',
+  ' chocolate especial',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' maionese',
+  ' ervas',
+  ' guardanapos',
+  ' rolos/pãezinhos',
+  ' Sementes de flores)',
+  ' Produtos alimentares instantâneos'],
+ [' carne de porco',
+  ' fruta semente',
+  ' fruta tropical',
+  ' salsicha',
+  ' bebidas',
+  ' leite inteiro',
+  ' uvas',
+  ' frango',
+  ' vegetais congelados',
+  ' Leite condensado'],
+ [' bagas',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' chantilly/creme azedo'],
+ [' refrigerante',
+  ' iogurte',
+  ' requeijão',
+  ' iogurte',
+  ' café',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' pão semi-acabado',
+  ' produtos de rolo',
+  ' óleo'],
+ [' bagas',
+  ' chocolate',
+  ' salsicha',
+  ' água engarrafada',
+  ' carne bovina',
+  ' pastelaria',
+  ' pão integral',
+  ' vegetais de raiz',
+  ' manteiga'],
+ [' suco de frutas/legumes',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' salsicha',
+  ' carne de hamburguer',
+  ' presunto',
+  ' pão branco',
+  ' leite inteiro',
+  ' massa',
+  ' açúcar',
+  ' fruta semente',
+  ' Leite condensado',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' goma de mascar'],
+ [' citrino',
+  ' salsicha',
+  ' refrigerante',
+  ' carne bovina',
+  ' fruta tropical',
+  ' pão branco',
+  ' lanche salgado',
+  ' ervas',
+  ' carne de porco',
+  ' óleo',
+  ' coalhada',
+  ' outros vegetais',
+  ' coalhada',
+  ' leite inteiro',
+  ' amaciante',
+  ' água engarrafada',
+  ' Produtos alimentares instantâneos'],
+ [' carne de porco',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' iogurte',
+  ' pão integral',
+  ' outros vegetais'],
+ [' detergente',
+  ' vinho branco',
+  ' carne de porco',
+  ' misc. bebidas',
+  ' fruta tropical',
+  ' salsicha',
+  ' frango',
+  ' produto de panificação longa vida',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' barra de bolo',
+  ' licor',
+  ' queijo macio',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' pão integral',
+  ' barra de bolo'],
+ [' uvas',
+  ' salsicha',
+  ' frango',
+  ' manteiga',
+  ' frango',
+  ' jornais',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' fruta semente',
+  ' espalhar queijo',
+  ' chantilly/creme azedo',
+  ' pastas de carne',
+  ' manteiga'],
+ [' salsicha',
+  ' salsicha',
+  ' leite inteiro',
+  ' bebidas de cacau',
+  ' salsicha',
+  ' carne de porco',
+  ' fruta semente',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' carne bovina',
+  ' Refeições congeladas',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' suco de frutas/legumes',
+  ' vegetais de raiz',
+  ' bagas',
+  ' outros vegetais',
+  ' iogurte',
+  ' barra de especialidade',
+  ' misc. bebidas',
+  ' rolos/pãezinhos',
+  ' pastas doces'],
+ [' frango',
+  ' carne de porco',
+  ' cerveja engarrafada',
+  ' produtos finalizados',
+  ' carne',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' pratos'],
+ [' leite inteiro',
+  ' peixe congelado',
+  ' cerveja engarrafada',
+  ' pão de fígado',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' carne bovina',
+  ' pão integral',
+  ' iogurte',
+  ' fruta tropical',
+  ' Queijo processado',
+  ' suco de frutas/legumes',
+  ' coalhada',
+  ' chantilly/creme azedo',
+  ' mostarda',
+  ' pão integral'],
+ [' citrino',
+  ' citrino',
+  ' salsicha',
+  ' frango',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' doce',
+  ' chocolate',
+  ' açúcar',
+  ' iogurte'],
+ [' refrigerante',
+  ' salsicha',
+  ' refrigerante',
+  ' Soro de leite coalhado',
+  ' salsicha',
+  ' citrino',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' outros vegetais',
+  ' vinagre'],
+ [' salsicha',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' detergente',
+  ' manteiga',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' jornais',
+  ' comida de gato',
+  ' iogurte',
+  'waffles'],
+ [' salsicha',
+  ' refrigerante',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' frango',
+  ' leite inteiro',
+  ' óleo',
+  ' iogurte',
+  ' carne de hamburguer',
+  ' refrigerante',
+  ' iogurte',
+  ' citrino',
+  ' leite inteiro',
+  ' pão branco',
+  ' ervas',
+  ' iogurte',
+  ' jornais',
+  ' sacolas de compras',
+  ' chocolate especial'],
+ [' salsicha',
+  ' salsicha',
+  ' citrino',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' fruta semente',
+  ' citrino',
+  ' marshmallow de chocolate',
+  ' café',
+  ' Requeijão cremoso',
+  ' água engarrafada',
+  ' açúcar',
+  ' água engarrafada'],
+ [' refrigerante',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' leite UHT',
+  ' carne de porco',
+  ' leite inteiro',
+  ' espalhar queijo',
+  ' açúcar',
+  ' refrigerante',
+  ' refrigerante',
+  ' óleo',
+  ' legumes em conserva'],
+ [' rolos/pãezinhos',
+  ' sorvete',
+  ' comida de gato',
+  ' salsicha',
+  ' carne de hamburguer',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' coalhada',
+  ' fruta semente',
+  ' nozes/ameixas',
+  ' cerveja engarrafada',
+  ' chantilly/creme azedo',
+  ' sacolas de compras',
+  ' pão integral',
+  ' pão branco',
+  ' iogurte',
+  ' jornais'],
+ [' carne bovina',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' citrino',
+  'waffles',
+  ' vegetais de raiz',
+  ' citrino',
+  ' citrino',
+  ' pão de fígado',
+  ' iogurte',
+  ' leite inteiro',
+  'waffles',
+  ' goma de mascar',
+  ' leite inteiro',
+  ' café',
+  ' sacolas de compras'],
+ [' leite inteiro',
+  ' citrino',
+  ' refrigerante',
+  ' iogurte',
+  ' bagas',
+  ' Margarina',
+  ' manteiga',
+  ' fruta semente',
+  ' café',
+  ' Requeijão cremoso',
+  ' vegetais de raiz',
+  'waffles',
+  ' lanche salgado',
+  ' suco de frutas/legumes'],
+ [' Queijo processado',
+  ' leite inteiro',
+  ' peixe',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' cerveja em lata',
+  ' pão integral',
+  ' chocolate'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' café',
+  ' refrigerante',
+  ' cebola',
+  ' queijo fatiado'],
+ [' salsicha',
+  ' leite inteiro',
+  ' bagas',
+  ' fruta tropical',
+  ' barra de especialidade',
+  ' rolos/pãezinhos'],
+ [' fruta/legumes embalados',
+  ' água engarrafada',
+  ' iogurte',
+  ' legumes em conserva',
+  ' carne de porco',
+  ' ovos domésticos',
+  ' sacolas de compras',
+  ' farinha'],
+ [' leite inteiro',
+  ' uvas',
+  ' carne bovina',
+  ' salsicha',
+  ' chocolate',
+  ' pastelaria',
+  ' peru',
+  ' peru',
+  ' fruta/legumes embalados',
+  ' Requeijão cremoso',
+  ' rolos/pãezinhos',
+  ' pastas de carne',
+  ' barra de especialidade',
+  ' cerveja em lata',
+  ' pão integral',
+  ' pastelaria',
+  ' coalhada',
+  ' toalhas de cozinha',
+  ' produto de panificação longa vida',
+  ' leite UHT',
+  ' rolos/pãezinhos',
+  ' açúcar',
+  ' ovos domésticos',
+  ' produto de panificação longa vida'],
+ [' bagas',
+  ' água engarrafada',
+  ' carne de hamburguer',
+  ' barra de especialidade',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' fruta tropical',
+  ' pão branco',
+  ' goma de mascar',
+  ' fruta tropical',
+  ' chantilly/creme azedo',
+  ' chantilly/creme azedo',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' guardanapos',
+  ' refrigerante'],
+ [' citrino',
+  ' fruta tropical',
+  ' chocolate especial',
+  ' citrino',
+  ' leite inteiro',
+  ' fruta semente',
+  ' chocolate',
+  ' iogurte',
+  ' leite inteiro',
+  ' fruta semente',
+  ' refrigerante',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' pão integral'],
+ [' fruta tropical',
+  ' outros vegetais',
+  ' uvas',
+  ' pastelaria',
+  ' carne bovina',
+  ' leite inteiro',
+  ' produtos finalizados',
+  ' marshmallow de chocolate',
+  ' carne bovina',
+  ' uvas',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' vinho tinto/blush',
+  ' queijo fatiado',
+  ' chocolate',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' pão integral',
+  ' massa',
+  ' sobremesa congelada',
+  ' pastelaria'],
+ [' carne de hamburguer',
+  ' salsicha',
+  ' frango',
+  ' jornais',
+  ' manteiga',
+  ' manteiga',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos'],
+ [' carne de hamburguer',
+  ' artigos de higiene',
+  ' manteiga',
+  ' leite UHT',
+  ' peixe enlatado',
+  ' pastas de carne',
+  ' carne de porco',
+  ' refrigerante',
+  ' fruta tropical',
+  ' citrino',
+  ' queijo especial',
+  ' lanche salgado',
+  ' sacolas de compras',
+  ' guardanapos'],
+ [' leite inteiro',
+  ' iogurte',
+  ' leite inteiro',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' vegetais congelados',
+  ' marshmallow de chocolate',
+  ' iogurte',
+  ' rolos/pãezinhos'],
+ [' peixe', ' vegetais de raiz', ' fruta tropical', ' outros vegetais'],
+ [' salsicha',
+  ' salsicha',
+  ' frango',
+  ' outros vegetais',
+  ' Queijo processado',
+  ' água engarrafada',
+  ' sobremesa',
+  ' refrigerante'],
+ [' fruta/legumes embalados',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' sobremesa',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' queijo fatiado',
+  ' vinho branco',
+  ' fruta semente',
+  ' mostarda',
+  ' petiscos',
+  ' lanche salgado',
+  ' frutas congeladas',
+  ' chantilly/creme azedo',
+  ' sacolas de compras',
+  ' pão branco'],
+ [' pastelaria',
+  ' zwieback',
+  ' fruta semente',
+  ' bagas',
+  ' rolos/pãezinhos',
+  ' cebola',
+  ' iogurte',
+  ' queijo fatiado',
+  ' produtos sanitários femininos'],
+ [' outros vegetais',
+  ' bagas',
+  ' fruta semente',
+  ' leite UHT',
+  ' pão branco',
+  ' ervas'],
+ [' misc. bebidas',
+  ' salsicha',
+  ' carne de porco',
+  ' leite inteiro',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' pastelaria',
+  ' fruta semente',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' presunto',
+  ' outros vegetais',
+  ' queijo duro',
+  ' fruta semente',
+  ' Fruta enlatada',
+  ' fruta semente',
+  ' Requeijão cremoso',
+  ' cebola',
+  ' pão integral',
+  ' pão semi-acabado',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' café',
+  ' limpador de banheiro',
+  ' pão integral',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' refrigerante',
+  ' cerveja engarrafada'],
+ [' salsicha',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' manteiga',
+  ' sacolas de compras',
+  ' pastelaria',
+  ' Margarina',
+  ' refrigerante',
+  ' leite UHT',
+  ' refrigerante',
+  ' produtos de rolo'],
+ [' espumante',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' carne de porco',
+  ' leite inteiro',
+  ' carne bovina',
+  ' zwieback',
+  ' vegetais congelados',
+  ' vegetais de raiz',
+  ' cerveja em lata',
+  ' sobremesa',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' cerveja em lata',
+  ' sal',
+  ' Margarina',
+  ' sobremesa congelada',
+  ' suco de frutas/legumes',
+  ' lanche salgado',
+  ' sacolas de compras',
+  ' sacolas de compras',
+  ' Requeijão cremoso',
+  ' óleo',
+  ' refrigerante'],
+ [' barra de especialidade',
+  ' carne de porco',
+  ' cerveja em lata',
+  ' doce',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' vegetais de raiz',
+  ' Refeições congeladas',
+  ' outros vegetais',
+  ' sorvete',
+  ' petiscos',
+  ' jornais',
+  ' coalhada',
+  ' queijo duro'],
+ [' salsicha',
+  ' salsicha',
+  ' coalhada',
+  ' vinho branco',
+  ' água engarrafada',
+  ' suco de frutas/legumes',
+  ' Refeições congeladas',
+  ' sobremesa'],
+ [' requeijão',
+  ' presunto',
+  ' salsicha',
+  ' chantilly/creme azedo',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' chocolate',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' Margarina',
+  ' jornais',
+  ' bagas',
+  ' guardanapos',
+  ' chantilly/creme azedo',
+  ' pastelaria',
+  ' vegetais de raiz',
+  ' Requeijão cremoso'],
+ [' salsicha',
+  ' presunto',
+  ' iogurte',
+  ' salsicha',
+  ' presunto',
+  ' licor',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' pão branco',
+  ' ovos domésticos',
+  ' bagas',
+  ' pastelaria',
+  ' Soro de leite coalhado',
+  ' pastas de carne',
+  ' produto de panificação longa vida'],
+ [' leite inteiro',
+  ' chantilly/creme azedo',
+  ' ervas',
+  ' cerveja engarrafada',
+  ' café',
+  ' rolos/pãezinhos',
+  ' bebidas',
+  ' barra de bolo',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' jornais',
+  ' fruta semente',
+  ' uvas',
+  ' pão integral',
+  ' cebola',
+  ' água engarrafada',
+  ' café',
+  ' vegetais congelados'],
+ [' bagas',
+  ' cebola',
+  ' leite inteiro',
+  ' salsicha',
+  ' bagas',
+  ' fruta tropical',
+  ' doce',
+  ' carne bovina',
+  ' manteiga',
+  ' vegetais de raiz'],
+ [' coalhada',
+  ' pastelaria',
+  ' carne bovina',
+  ' cerveja engarrafada',
+  ' refrigerante',
+  ' refrigerante',
+  ' refrigerante',
+  ' queijo macio',
+  ' lanche salgado',
+  ' carne de hamburguer',
+  ' refrigerante',
+  ' bagas',
+  ' pastas doces',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' especiarias',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' suco de frutas/legumes',
+  ' pastelaria',
+  ' produtos de manutenção da casa',
+  ' suco de frutas/legumes',
+  ' detergente'],
+ [' fruta tropical',
+  ' vegetais de raiz',
+  ' bebidas',
+  ' iogurte',
+  ' salsicha',
+  ' frango',
+  ' óleo',
+  ' salsicha',
+  ' presunto',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' refrigerante',
+  ' manteiga',
+  ' pastelaria',
+  ' leite inteiro',
+  ' queijo fatiado'],
+ [' refrigerante',
+  ' carne',
+  ' cerveja em lata',
+  ' espumante',
+  ' citrino',
+  ' café',
+  ' Refeições congeladas',
+  ' barra de especialidade',
+  ' cerveja em lata',
+  ' água engarrafada',
+  ' coalhada',
+  ' sobremesa'],
+ [' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' salsicha',
+  ' nozes/ameixas',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' suco de frutas/legumes',
+  ' maionese'],
+ [' cerveja em lata',
+  ' lanche salgado',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' fruta tropical',
+  ' sobremesa',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' pastelaria',
+  ' sobremesa',
+  ' vegetais de raiz',
+  ' suco de frutas/legumes',
+  ' pão semi-acabado',
+  ' coalhada',
+  ' pratos',
+  ' leite inteiro',
+  ' água engarrafada'],
+ [' cerveja em lata',
+  ' pratos',
+  ' uvas',
+  ' salsicha',
+  ' carne bovina',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' iogurte',
+  ' iogurte',
+  ' refrigerante',
+  ' iogurte',
+  ' sorvete',
+  ' fruta semente',
+  ' refrigerante',
+  ' chocolate'],
+ [' salsicha',
+  ' fruta semente',
+  ' salsicha',
+  ' citrino',
+  ' leite UHT',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' Refeições congeladas',
+  ' suco de frutas/legumes',
+  ' peixe enlatado',
+  ' pratos'],
+ [' outros vegetais',
+  ' salsicha',
+  ' citrino',
+  ' leite inteiro',
+  ' presunto',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' pastelaria',
+  ' ovos domésticos',
+  ' iogurte',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' café',
+  ' outros vegetais',
+  ' iogurte',
+  ' Margarina',
+  ' fermento em pó',
+  ' água engarrafada',
+  ' Leite condensado',
+  ' pastelaria',
+  ' pastelaria'],
+ [' leite inteiro',
+  ' fruta semente',
+  ' fruta semente',
+  ' salsicha',
+  ' bebidas',
+  ' presunto',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' fruta tropical',
+  ' pão semi-acabado',
+  ' lanche salgado',
+  ' sobremesa',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' guardanapos',
+  ' cebola',
+  ' presunto',
+  ' legumes em conserva',
+  ' pão branco',
+  ' doce',
+  ' pudim em pó',
+  ' lanche salgado',
+  ' fruta semente',
+  ' arroz',
+  ' farinha',
+  'waffles',
+  ' sobremesa congelada'],
+ [' citrino',
+  ' água engarrafada',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' iogurte',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' mostarda',
+  ' pastelaria',
+  ' leite inteiro',
+  ' manteiga',
+  ' massa',
+  ' sacolas de compras',
+  ' leite inteiro'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' leite UHT',
+  ' manteiga',
+  ' barra de especialidade',
+  ' produtos finalizados',
+  ' manteiga',
+  ' fruta tropical',
+  ' barra de especialidade',
+  ' lanche salgado',
+  ' outros vegetais',
+  ' iogurte',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' Margarina',
+  ' barra de especialidade'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' carne bovina',
+  ' peixe congelado',
+  ' cebola',
+  ' arroz',
+  ' guardanapos'],
+ [' Soro de leite coalhado',
+  ' leite inteiro',
+  ' refrigerante',
+  ' citrino',
+  ' presunto',
+  ' ovos domésticos',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' ovos domésticos',
+  ' detergente'],
+ [' carne de hamburguer',
+  ' refrigerante',
+  ' salsicha',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' Refeições congeladas',
+  ' Margarina',
+  ' queijo macio',
+  ' fruta tropical',
+  ' refrigerante',
+  ' água engarrafada',
+  ' coalhada',
+  ' misc. bebidas',
+  ' cerveja em lata',
+  ' legumes em conserva',
+  ' suco de frutas/legumes',
+  ' marshmallow de chocolate'],
+ [' massa',
+  ' salsicha',
+  ' carne de hamburguer',
+  ' salsicha',
+  ' leite inteiro',
+  ' refrigerante',
+  ' molhos',
+  ' rolos/pãezinhos',
+  ' vinho tinto/blush',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' limpador abrasivo',
+  ' misc. bebidas',
+  ' café',
+  ' Sementes de flores)',
+  ' produtos sazonais',
+  ' comida de gato'],
+ [' outros vegetais',
+  ' salsicha',
+  ' Requeijão cremoso',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' fruta semente',
+  ' fruta tropical',
+  ' fermento em pó',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' pastelaria',
+  ' queijo macio',
+  ' cerveja engarrafada',
+  ' chocolate especial',
+  ' amaciante',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' citrino',
+  ' produto de panificação longa vida',
+  ' salsicha',
+  ' frango',
+  ' pão branco',
+  ' carne bovina',
+  ' iogurte',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' manteiga',
+  ' guardanapos',
+  ' Margarina',
+  ' barra de bolo'],
+ [' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' manteiga',
+  ' outros vegetais',
+  ' pão branco',
+  ' cerveja engarrafada',
+  ' cerveja engarrafada',
+  ' outros vegetais',
+  ' ervas',
+  ' fruta tropical',
+  ' coalhada',
+  ' guardanapos',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' espalhar queijo',
+  ' pão integral',
+  ' goma de mascar',
+  ' chantilly/creme azedo',
+  ' cerveja engarrafada',
+  ' chocolate especial',
+  ' cebola',
+  ' rolos/pãezinhos',
+  ' vinho tinto/blush',
+  ' velas',
+  ' suco de frutas/legumes',
+  ' suco de frutas/legumes',
+  ' molho de salada',
+  ' misc. bebidas'],
+ [' uvas',
+  ' salsicha',
+  ' presunto',
+  ' frango',
+  ' cerveja em lata',
+  ' salsicha',
+  ' fruta tropical',
+  ' sobremesa congelada',
+  ' fruta tropical',
+  ' Refeições congeladas',
+  ' suco de frutas/legumes',
+  ' açúcar',
+  ' fruta semente',
+  ' espumante',
+  ' detergente'],
+ [' vegetais de raiz',
+  ' carne de hamburguer',
+  ' presunto',
+  ' água engarrafada',
+  ' citrino',
+  ' açúcar',
+  ' sorvete',
+  ' iogurte',
+  ' guardanapos',
+  ' sorvete',
+  ' leite inteiro',
+  ' sacolas de compras',
+  ' marshmallow de chocolate',
+  ' barra de especialidade',
+  ' doce',
+  ' suco de frutas/legumes',
+  ' vegetais congelados',
+  ' arroz',
+  ' cerveja em lata'],
+ [' café',
+  ' salsicha',
+  ' sobremesa congelada',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' barra de especialidade',
+  ' ervas',
+  ' queijo fatiado',
+  ' suco de frutas/legumes',
+  ' vinho tinto/blush',
+  ' pão integral'],
+ [' Pipoca',
+  ' presunto',
+  ' salsicha',
+  ' presunto',
+  ' refrigerante',
+  ' óleo',
+  ' carne de porco',
+  ' carne de porco',
+  ' cebola',
+  ' Margarina',
+  ' bebidas',
+  ' outros vegetais',
+  ' misc. bebidas',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' coalhada',
+  ' carne bovina',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' manteiga',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' leite inteiro'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' pão branco',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' citrino',
+  ' Margarina',
+  ' guardanapos',
+  ' cosméticos masculinos'],
+ [' fruta tropical',
+  ' chocolate',
+  ' produtos finalizados',
+  ' detergente',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' carne de porco',
+  ' pastelaria',
+  ' carne bovina',
+  ' Sementes de flores)',
+  ' óleo',
+  ' bebidas',
+  ' fermento em pó',
+  ' bagas',
+  ' amaciante',
+  ' vinho branco',
+  ' Soro de leite coalhado',
+  ' rolos/pãezinhos',
+  ' barra de especialidade',
+  ' refrigerante',
+  ' cerveja engarrafada',
+  ' artigos de higiene'],
+ [' carne bovina',
+  ' salsicha',
+  ' Margarina',
+  ' cerveja em lata',
+  ' Soro de leite coalhado',
+  ' leite inteiro',
+  ' pão branco',
+  ' pastas de carne'],
+ [' leite inteiro', ' rolos/pãezinhos'],
+ [' salsicha',
+  ' citrino',
+  ' citrino',
+  ' carne de hamburguer',
+  ' Soro de leite coalhado',
+  ' café'],
+ [' fruta tropical',
+  ' fruta semente',
+  ' iogurte',
+  ' lanche de nozes',
+  ' guardanapos'],
+ [' cerveja em lata',
+  ' refrigerante',
+  ' Sementes de flores)',
+  ' carne de porco',
+  ' pastelaria',
+  ' fruta tropical',
+  ' vegetais congelados',
+  ' Margarina',
+  ' mel',
+  ' leite UHT',
+  ' suco de frutas/legumes',
+  ' jornais',
+  ' ketchup'],
+ [' produtos finalizados',
+  ' cerveja em lata',
+  ' detergente',
+  ' salsicha',
+  ' sorvete',
+  ' mel',
+  ' vinho tinto/blush',
+  ' Refeições congeladas',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' sal',
+  ' carne de hamburguer',
+  ' bebidas',
+  ' refrigerante',
+  ' refrigerante',
+  ' água engarrafada',
+  ' pão branco',
+  ' cerveja em lata',
+  ' cereais',
+  ' açúcar',
+  ' sobremesa congelada',
+  ' chantilly/creme azedo',
+  'sopas prontas'],
+ [' bebidas',
+  ' cerveja em lata',
+  ' carne bovina',
+  ' Requeijão cremoso',
+  ' carne',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' fruta semente',
+  ' fruta tropical'],
+ [' carne de hamburguer',
+  ' coalhada',
+  ' fruta semente',
+  ' leite inteiro',
+  ' bebidas',
+  ' sacolas de compras',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' Margarina',
+  ' refrigerante',
+  ' velas'],
+ [' leite inteiro',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' chantilly/creme azedo',
+  ' massa',
+  ' leite inteiro',
+  'waffles',
+  ' citrino',
+  ' água engarrafada',
+  ' sacolas de compras'],
+ [' produtos finalizados',
+  ' citrino',
+  ' guardanapos',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' fruta semente',
+  ' uvas',
+  ' vegetais de raiz',
+  ' sacolas de compras',
+  ' outros vegetais',
+  ' queijo fatiado'],
+ [' outros vegetais', ' chantilly/creme azedo'],
+ [' presunto',
+  ' licor',
+  ' salsicha',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' frango',
+  ' leite inteiro',
+  ' iogurte',
+  ' leite inteiro',
+  ' conhaque',
+  ' foto/filme',
+  ' chocolate especial',
+  ' Margarina',
+  ' leite inteiro',
+  ' coalhada',
+  ' suco de frutas/legumes',
+  ' cerveja em lata',
+  ' chantilly/creme azedo'],
+ [' outros vegetais',
+  ' pastelaria',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' refrigerante',
+  ' leite inteiro',
+  ' chocolate',
+  ' outros vegetais',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' café instantâneo',
+  ' café'],
+ [' coalhada',
+  ' salsicha',
+  ' Requeijão cremoso',
+  ' salsicha',
+  ' coalhada',
+  ' manteiga',
+  ' misc. bebidas',
+  ' iogurte',
+  ' leite inteiro',
+  ' fruta semente',
+  ' leite inteiro',
+  ' iogurte',
+  ' pastelaria'],
+ [' cerveja engarrafada',
+  ' iogurte',
+  ' misc. bebidas',
+  ' iogurte',
+  ' fruta semente',
+  ' queijo duro',
+  ' ervas',
+  ' açúcar'],
+ [' coalhada',
+  ' carne',
+  ' pastas doces',
+  ' salsicha',
+  ' produtos de batata congelada',
+  ' vinho branco'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' refrigerante',
+  ' requeijão',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' Refeições congeladas',
+  ' refrigerante'],
+ [' leite inteiro',
+  ' cerveja em lata',
+  ' sorvete',
+  ' rolos/pãezinhos',
+  ' queijo duro',
+  ' iogurte',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' vegetais congelados',
+  ' café'],
+ [' sobremesa',
+  ' leite inteiro',
+  ' citrino',
+  ' citrino',
+  ' iogurte',
+  ' citrino',
+  ' carne bovina',
+  ' salsicha',
+  ' refrigerante',
+  ' chocolate',
+  ' uvas',
+  ' queijo duro',
+  ' rolos/pãezinhos',
+  ' guardanapos',
+  ' Margarina',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' iogurte'],
+ [' salsicha', ' pão branco', ' vegetais de raiz', ' café'],
+ [' outros vegetais',
+  ' vegetais de raiz',
+  ' Margarina',
+  ' bebidas',
+  ' vegetais de raiz',
+  ' chantilly/creme azedo'],
+ [' presunto',
+  ' citrino',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' cerveja em lata',
+  ' pudim em pó'],
+ [' outros vegetais',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' jornais',
+  ' fruta semente',
+  ' Requeijão cremoso',
+  ' Soro de leite coalhado',
+  ' outros vegetais',
+  ' barra de bolo',
+  ' manteiga'],
+ [' outros vegetais',
+  ' Leite condensado',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' limpador de prato',
+  ' vinho branco',
+  ' peixe enlatado',
+  ' outros vegetais',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' sopas',
+  ' farinha',
+  ' leite inteiro',
+  ' Leite condensado',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' sacolas de compras',
+  ' Produtos alimentares instantâneos',
+  ' vegetais congelados',
+  'waffles',
+  ' película aderente/sacos',
+  ' ovos domésticos'],
+ [' refrigerante',
+  ' legumes em conserva',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' salsicha orgânica',
+  ' zwieback',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' barra de especialidade',
+  ' fruta/legumes embalados',
+  ' iogurte',
+  ' detergente',
+  ' fermento em pó'],
+ [' ervas',
+  ' carne de porco',
+  ' refrigerante',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' fruta semente',
+  ' iogurte',
+  ' massa'],
+ [' salsicha',
+  ' açúcar',
+  ' citrino',
+  ' vinho branco',
+  ' bagas',
+  ' sacolas de compras',
+  ' produtos sazonais',
+  ' refrigerante',
+  ' jornais',
+  ' cerveja engarrafada'],
+ [' rolos/pãezinhos',
+  ' água engarrafada',
+  ' carne bovina',
+  ' citrino',
+  ' Queijo processado',
+  ' citrino',
+  ' Soro de leite coalhado',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' cereais',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' especiarias',
+  ' leite inteiro',
+  ' manteiga',
+  ' iogurte',
+  ' guardanapos',
+  ' chocolate',
+  ' sacolas de compras'],
+ [' coalhada',
+  ' cerveja engarrafada',
+  ' manteiga',
+  ' chocolate',
+  ' iogurte',
+  ' coalhada',
+  ' jornais',
+  ' cerveja em lata'],
+ [' salsicha',
+  ' leite inteiro',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' pastelaria',
+  ' marshmallow de chocolate'],
+ [' outros vegetais',
+  ' Margarina',
+  ' leite UHT',
+  ' bebidas',
+  ' chantilly/creme azedo',
+  ' fruta tropical',
+  ' coalhada',
+  ' ovos domésticos',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' iogurte',
+  ' iogurte',
+  ' doce'],
+ [' comida de cão',
+  ' salsicha',
+  ' leite inteiro',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' cerveja em lata',
+  ' chantilly/creme azedo',
+  ' fruta semente',
+  ' carne de porco',
+  ' cerveja engarrafada',
+  ' queijo especial',
+  ' queijo fatiado',
+  ' vegetais enlatados',
+  ' sobremesa',
+  ' pastelaria',
+  ' refrigerante',
+  ' cebola',
+  ' pão branco',
+  ' açúcar',
+  ' lanches'],
+ [' barra de especialidade',
+  ' outros vegetais',
+  ' guardanapos',
+  ' Requeijão cremoso',
+  ' coalhada',
+  ' manteiga'],
+ [' coalhada',
+  ' rolos/pãezinhos',
+  ' carne',
+  ' bebidas',
+  ' outros vegetais',
+  ' refrigerante',
+  ' iogurte',
+  ' chocolate especial',
+  ' vinho tinto/blush'],
+ [' salsicha', ' bebidas', ' chocolate especial', ' sacolas de compras'],
+ [' refrigerante',
+  ' cerveja em lata',
+  ' limpador abrasivo',
+  ' jornais',
+  ' leite inteiro',
+  ' bagas',
+  ' café',
+  ' iogurte',
+  ' comida de gato',
+  ' sacolas de compras',
+  ' Refeições congeladas'],
+ [' carne bovina',
+  ' salsicha',
+  ' salsicha',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' vegetais congelados',
+  ' leite inteiro',
+  ' leite UHT',
+  ' comida de gato',
+  ' película aderente/sacos',
+  ' suco de frutas/legumes',
+  ' velas'],
+ [' cerveja em lata',
+  ' bagas',
+  ' carne de porco',
+  ' refrigerante',
+  ' iogurte',
+  ' uvas',
+  ' pão branco',
+  ' goma de mascar',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' farinha'],
+ [' carne de porco',
+  ' refrigerante',
+  ' café',
+  ' fruta tropical',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' guardanapos',
+  ' iogurte',
+  ' cebola',
+  ' outros vegetais',
+  ' jornais'],
+ [' salsicha',
+  ' carne de porco',
+  ' chantilly/creme azedo',
+  ' comida de cão',
+  ' citrino',
+  ' água engarrafada',
+  ' vegetais especiais'],
+ [' salsicha',
+  ' salsicha',
+  ' citrino',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' peixe',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' jornais',
+  ' refrigerante',
+  ' produtos de batata congelada',
+  ' produto de panificação longa vida',
+  ' ovos domésticos',
+  ' chantilly/creme azedo',
+  ' vinagre',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' vasos de plantas',
+  ' produto de panificação longa vida'],
+ [' cerveja em lata',
+  ' salsicha',
+  ' fruta semente',
+  ' salsicha',
+  ' cerveja em lata',
+  ' bagas',
+  ' água engarrafada',
+  ' leite UHT',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' sacolas de compras'],
+ [' chocolate especial',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' pastelaria',
+  ' fruta tropical',
+  ' farinha',
+  ' pastas doces',
+  ' chantilly/creme azedo',
+  ' chantilly/creme azedo',
+  ' óleo'],
+ [' coalhada',
+  ' iogurte',
+  ' Requeijão cremoso',
+  ' vasos de plantas',
+  ' barra de especialidade',
+  ' sacolas de compras'],
+ [' cerveja em lata',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' manteiga',
+  ' suco de frutas/legumes',
+  ' vinho tinto/blush'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' bagas',
+  ' pão integral',
+  ' sobremesa',
+  ' presunto',
+  ' carne bovina',
+  ' fruta tropical',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' artigos de higiene',
+  ' iogurte',
+  ' refrigerante',
+  ' vegetais congelados',
+  ' sacolas de compras',
+  ' água engarrafada'],
+ [' rolos/pãezinhos',
+  ' manteiga',
+  ' cerveja engarrafada',
+  ' uvas',
+  ' água engarrafada',
+  ' massa',
+  ' cerveja em lata'],
+ [' carne de porco',
+  ' vegetais de raiz',
+  ' peru',
+  ' presunto',
+  ' uvas',
+  ' salsicha',
+  ' coalhada',
+  ' fruta tropical',
+  ' pão branco',
+  ' leite inteiro',
+  ' citrino',
+  ' pratos',
+  ' ketchup',
+  ' Queijo processado',
+  ' pastelaria',
+  ' refrigerante'],
+ [' citrino',
+  ' pão de fígado',
+  ' citrino',
+  ' frango',
+  ' carne bovina',
+  ' sacolas de compras',
+  ' cebola',
+  ' misc. bebidas',
+  ' rolos/pãezinhos',
+  ' misc. bebidas',
+  ' espalhar queijo',
+  ' gordura especial',
+  ' rolos/pãezinhos',
+  ' jornais',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' jornais',
+  ' pastelaria',
+  ' pão semi-acabado'],
+ [' vasos de plantas',
+  ' óleo',
+  ' vegetais de raiz',
+  ' carne de porco',
+  ' refrigerante',
+  ' outros vegetais',
+  ' Queijo processado',
+  ' Refeições congeladas'],
+ [' rolos/pãezinhos',
+  ' cebola',
+  ' manteiga',
+  ' carne de hamburguer',
+  ' fruta tropical',
+  ' amaciante',
+  ' água engarrafada',
+  ' refrigerante',
+  ' chocolate',
+  ' doce'],
+ [' manteiga',
+  ' salsicha',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' cebola',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' Requeijão cremoso',
+  ' pastelaria',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' queijo duro',
+  ' iogurte'],
+ [' Leite condensado', ' cerveja em lata', ' cebola', ' café'],
+ [' salsicha',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' bebidas de cacau',
+  ' pastelaria',
+  ' Sementes de flores)',
+  ' marshmallow de chocolate',
+  ' cerveja em lata'],
+ [' salsicha',
+  ' carne bovina',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' refrigerante',
+  ' carne',
+  ' salsicha',
+  ' bagas',
+  ' refrigerante',
+  ' produtos de batata congelada',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' ovos domésticos',
+  ' cereais',
+  ' pão branco',
+  ' ovos domésticos',
+  ' jornais'],
+ [' bebidas',
+  ' cerveja engarrafada',
+  ' fruta semente',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' refrigerante',
+  ' salsicha',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' peixe enlatado',
+  ' queijo macio',
+  ' barra de bolo',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' vegetais congelados',
+  ' açúcar',
+  ' pão integral',
+  ' maionese',
+  ' sacolas de compras'],
+ [' bebidas',
+  ' refrigerante',
+  ' leite UHT',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' coalhada',
+  ' queijo macio',
+  ' água engarrafada',
+  ' óleo',
+  ' chocolate',
+  ' rolos/pãezinhos',
+  ' fermento em pó'],
+ [' água engarrafada',
+  ' queijo fatiado',
+  ' água engarrafada',
+  ' refrigerante',
+  ' óleo',
+  ' xarope'],
+ [' jornais',
+  ' salsicha orgânica',
+  ' fruta semente',
+  ' sacolas de compras',
+  ' jornais',
+  ' chantilly/creme azedo'],
+ [' limpador',
+  ' pastelaria',
+  ' citrino',
+  ' pão de fígado',
+  ' carne bovina',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' goma de mascar',
+  ' barra de especialidade',
+  ' vinagre',
+  ' barra de especialidade',
+  ' queijo fatiado',
+  ' leite inteiro',
+  ' pão branco'],
+ [' salsicha',
+  ' cebola',
+  ' outros vegetais',
+  ' coalhada',
+  ' espalhar queijo',
+  ' produtos de manutenção da casa',
+  ' carne',
+  ' óleo',
+  ' chá',
+  ' cebola',
+  ' fruta tropical',
+  ' pão integral',
+  ' leite inteiro',
+  ' comida de gato',
+  ' artigos de higiene',
+  ' coalhada',
+  ' queijo duro',
+  ' cerveja engarrafada',
+  ' comida de gato'],
+ [' jornais',
+  ' refrigerante',
+  ' fruta semente',
+  ' carne bovina',
+  ' pastelaria',
+  ' citrino',
+  ' salsicha',
+  ' carne bovina',
+  ' citrino',
+  ' pastelaria',
+  ' citrino',
+  ' sacolas de compras',
+  ' doce'],
+ [' salsicha',
+  ' salsicha',
+  ' salsicha',
+  ' fruta semente',
+  ' salsicha',
+  ' pastelaria',
+  ' fruta semente',
+  ' produtos sazonais',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' pastelaria',
+  ' refrigerante',
+  ' coalhada',
+  ' rolos/pãezinhos',
+  ' massa',
+  ' vinho branco',
+  ' leite inteiro',
+  ' guardanapos',
+  ' vinho branco',
+  ' produto de panificação longa vida',
+  'waffles'],
+ [' misc. bebidas',
+  ' salsicha',
+  ' cebola',
+  ' citrino',
+  ' pastelaria',
+  ' chocolate especial',
+  ' produto de panificação longa vida'],
+ [' salsicha',
+  ' zwieback',
+  ' detergente',
+  ' frango',
+  ' bebidas',
+  ' sacolas de compras',
+  ' fruta tropical',
+  ' sorvete',
+  ' toalhas de cozinha',
+  ' água engarrafada',
+  ' refrigerante',
+  ' Margarina'],
+ [' carne',
+  ' queijo macio',
+  ' leite inteiro',
+  ' Refeições congeladas',
+  ' cerveja em lata',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' outros vegetais',
+  ' vinho tinto/blush',
+  ' cerveja em lata',
+  ' jornais',
+  ' jornais',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' guardanapos'],
+ [' salsicha',
+  ' pão integral',
+  ' leite UHT',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' pastelaria',
+  ' manteiga',
+  ' rolos/pãezinhos',
+  ' água engarrafada'],
+ [' sorvete',
+  ' carne bovina',
+  ' frango',
+  ' carne bovina',
+  ' frango',
+  ' sobremesa congelada',
+  ' bagas',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' Refeições congeladas',
+  ' fruta tropical',
+  ' jornais',
+  ' açúcar',
+  ' suco de frutas/legumes',
+  ' Refeições congeladas',
+  ' sobremesa congelada',
+  ' licor',
+  ' pão branco',
+  ' jornais',
+  ' limpador de prato'],
+ [' cerveja em lata',
+  ' frango',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' refrigerante',
+  ' jornais'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' queijo fatiado',
+  ' salsicha',
+  ' bagas',
+  ' Refeições congeladas',
+  ' carne',
+  ' carne bovina',
+  ' Soro de leite coalhado',
+  ' leite inteiro',
+  ' refrigerante',
+  ' água engarrafada',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' licor',
+  ' queijo fatiado',
+  ' chocolate',
+  ' cosméticos masculinos',
+  ' sacolas de compras',
+  ' suco de frutas/legumes'],
+ [' carne',
+  ' carne bovina',
+  ' pão semi-acabado',
+  ' salsicha',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' óleo',
+  ' vegetais congelados',
+  ' pão integral',
+  ' óleo',
+  ' produto de panificação longa vida',
+  ' café instantâneo',
+  ' café instantâneo',
+  ' outros vegetais',
+  ' artigos de higiene'],
+ [' leite inteiro',
+  ' utensílios de cozinha',
+  ' refrigerante',
+  ' frango',
+  ' barra de especialidade',
+  ' coalhada',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' leite inteiro',
+  ' comida de cão',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' Requeijão cremoso'],
+ [' salsicha', ' leite inteiro', ' iogurte', ' ovos domésticos'],
+ [' carne',
+  ' leite UHT',
+  ' uvas',
+  ' iogurte',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' produto de panificação longa vida',
+  ' ovos domésticos'],
+ [' vegetais de raiz',
+  ' outros vegetais',
+  ' cereais',
+  ' cerveja em lata',
+  ' pão branco',
+  ' rolos/pãezinhos'],
+ [' vegetais de raiz',
+  ' outros vegetais',
+  ' citrino',
+  ' sacolas de compras',
+  ' iogurte',
+  ' refrigerante',
+  ' jornais'],
+ [' leite inteiro',
+  ' coalhada',
+  ' outros vegetais',
+  ' leite UHT',
+  ' chantilly/creme azedo',
+  ' Refeições congeladas',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' outros vegetais'],
+ [' citrino',
+  ' suco de frutas/legumes',
+  ' fruta semente',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' massa',
+  ' sobremesa',
+  ' sorvete',
+  ' peixe congelado'],
+ [' citrino',
+  ' salsicha',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' licor',
+  ' iogurte',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' fruta tropical',
+  ' cerveja engarrafada',
+  ' açúcar'],
+ [' outros vegetais',
+  ' Soro de leite coalhado',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' conhaque'],
+ [' citrino',
+  ' chocolate',
+  ' carne de porco',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' pão semi-acabado',
+  ' sacolas de compras',
+  ' arroz',
+  ' Margarina',
+  ' vegetais congelados',
+  ' pão integral',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' sorvete',
+  ' carne de hamburguer',
+  ' sobremesa',
+  ' leite inteiro',
+  ' carne de porco',
+  ' chantilly/creme azedo',
+  ' rolos/pãezinhos'],
+ [' salsicha',
+  ' sabão',
+  ' sacolas de compras',
+  ' produto de panificação longa vida',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' rum',
+  ' coalhada',
+  ' vegetais enlatados',
+  ' café instantâneo',
+  ' ovos domésticos'],
+ [' queijo duro',
+  ' carne bovina',
+  ' citrino',
+  ' barra de especialidade',
+  ' pastelaria',
+  ' pão branco',
+  ' refrigerante',
+  ' vinagre',
+  ' produto de panificação longa vida',
+  ' ovos domésticos'],
+ [' Requeijão cremoso',
+  ' pão integral',
+  ' salsicha',
+  ' cerveja em lata',
+  ' queijo duro',
+  ' carne de porco',
+  ' carne',
+  ' fruta tropical',
+  ' salsicha',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' refrigerante',
+  ' jornais',
+  ' vegetais de raiz',
+  ' bebidas',
+  ' lanche salgado',
+  ' coalhada',
+  ' outros vegetais',
+  ' manteiga',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' jornais'],
+ [' peru',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' pastelaria',
+  ' citrino',
+  ' fruta semente',
+  ' coalhada',
+  ' refrigerante',
+  ' leite inteiro',
+  ' detergente',
+  ' xarope'],
+ [' carne de porco',
+  ' chocolate especial',
+  ' chocolate especial',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' cerveja em lata',
+  ' refrigerante',
+  ' sobremesa congelada',
+  ' pão branco',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' fermento em pó',
+  ' pão integral',
+  ' vegetais congelados',
+  ' detergente',
+  ' requeijão',
+  ' chantilly/creme azedo',
+  ' Requeijão cremoso',
+  ' café'],
+ [' rolos/pãezinhos', ' licor (aperitivo)'],
+ [' salsicha',
+  ' pão branco',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' maionese',
+  ' óleo',
+  ' leite inteiro',
+  ' pratos'],
+ [' sorvete',
+  ' jornais',
+  ' cebola',
+  ' bagas',
+  ' fruta semente',
+  ' carne de hamburguer',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' limpador de prato',
+  ' barra de especialidade',
+  ' iogurte',
+  ' queijo especial',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' jornais'],
+ [' fruta semente',
+  ' carne bovina',
+  ' leite UHT',
+  ' leite inteiro',
+  ' refrigerante',
+  ' velas',
+  ' flor solo/fertilizante',
+  ' iogurte',
+  ' jornais',
+  ' lanche salgado',
+  ' café'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' carne bovina',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' Leite condensado',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' Requeijão cremoso',
+  ' vinho branco',
+  'waffles',
+  ' suco de frutas/legumes',
+  ' chocolate'],
+ [' refrigerante',
+  ' carne',
+  ' citrino',
+  ' fruta semente',
+  ' limpador de prato',
+  ' presunto',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' vegetais de raiz',
+  ' uvas',
+  ' vegetais congelados',
+  ' ketchup',
+  ' cerveja em lata'],
+ [' refrigerante',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' refrigerante',
+  ' refrigerante',
+  ' água engarrafada',
+  ' café',
+  ' refrigerante',
+  ' cereais'],
+ [' salsicha',
+  ' leite inteiro',
+  ' carne de porco',
+  ' refrigerante',
+  ' refrigerante',
+  ' pão branco',
+  ' rolos/pãezinhos',
+  ' pão integral'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' iogurte',
+  ' frango',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' vegetais de raiz',
+  ' outros vegetais'],
+ [' carne de porco',
+  ' rolos/pãezinhos',
+  ' amaciante',
+  ' carne de hamburguer',
+  ' vinho tinto/blush',
+  ' sal',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' água engarrafada'],
+ [' carne de porco',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' artigos de higiene',
+  ' guardanapos'],
+ [' chocolate',
+  ' Requeijão cremoso',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' clínica de cuidado de animais domésticos',
+  ' salsicha',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' flor solo/fertilizante',
+  ' suco de frutas/legumes',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' carne',
+  ' produto de panificação longa vida',
+  ' misc. bebidas',
+  ' sacolas de compras',
+  ' refrigerante',
+  ' Queijo processado',
+  ' pastelaria',
+  ' rolos/pãezinhos'],
+ [' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' carne de hamburguer',
+  ' fruta semente',
+  ' leite inteiro',
+  ' lanche salgado',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' pratos',
+  ' sobremesa'],
+ [' legumes em conserva',
+  ' cebola',
+  ' leite inteiro',
+  ' refrigerante',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' película aderente/sacos'],
+ [' água engarrafada',
+  ' fruta tropical',
+  ' coalhada',
+  ' carne de porco',
+  ' fruta semente',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' vinho branco',
+  ' Refeições congeladas',
+  ' rolos/pãezinhos',
+  ' lanche salgado',
+  ' Leite condensado',
+  ' iogurte',
+  ' iogurte',
+  ' cerveja engarrafada',
+  ' outros vegetais',
+  ' jornais'],
+ [' salsicha',
+  ' foto/filme',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' pão integral',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' Requeijão cremoso'],
+ [' fruta tropical',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' foto/filme',
+  ' leite inteiro'],
+ [' cerveja em lata',
+  ' carne de hamburguer',
+  ' presunto',
+  ' citrino',
+  ' pratos',
+  ' água engarrafada',
+  ' cerveja em lata',
+  ' gordura especial',
+  ' sopas'],
+ [' vegetais de raiz',
+  ' carne de porco',
+  ' sobremesa congelada',
+  ' ovos domésticos',
+  ' óleo'],
+ [' carne',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' queijo duro',
+  ' goma de mascar',
+  ' pão branco'],
+ [' fruta tropical',
+  ' frango',
+  ' salsicha',
+  ' salsicha',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  'waffles',
+  ' lanches',
+  ' pastelaria',
+  ' sobremesa',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos'],
+ [' fruta tropical',
+  ' jornais',
+  ' comida de gato',
+  ' bebidas',
+  ' salsicha',
+  ' rum',
+  ' carne bovina',
+  ' fruta tropical',
+  ' chocolate',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' farinha',
+  ' toalhas de cozinha'],
+ [' citrino',
+  ' uvas',
+  ' outros vegetais',
+  ' carne de porco',
+  ' cebola',
+  ' salsicha',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' vasos de plantas',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' coalhada',
+  ' pão integral',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' lanche salgado',
+  ' ovos domésticos',
+  ' jornais',
+  ' sacolas de compras',
+  ' ovos domésticos',
+  ' ovos domésticos'],
+ [' carne de hamburguer',
+  ' coalhada',
+  ' citrino',
+  ' água engarrafada',
+  ' manteiga',
+  ' sobremesa',
+  ' outros vegetais',
+  ' pastelaria',
+  ' Soro de leite coalhado',
+  ' refrigerante',
+  ' jornais',
+  ' sal'],
+ [' frango',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' água engarrafada',
+  ' iogurte',
+  ' peixe congelado',
+  ' Sementes de flores)',
+  ' fermento em pó',
+  ' spray de cabelo',
+  ' ovos domésticos',
+  ' açúcar',
+  ' vegetais congelados',
+  ' sobremesa',
+  ' mel',
+  ' suco de frutas/legumes',
+  ' Queijo processado'],
+ [' frango',
+  ' pão branco',
+  ' carne bovina',
+  ' carne de hamburguer',
+  ' carne de porco',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' pastelaria',
+  ' carne bovina',
+  ' Refeições congeladas',
+  ' iogurte',
+  ' leite inteiro',
+  ' barra de especialidade'],
+ [' salsicha',
+  ' sacolas de compras',
+  ' comida de gato',
+  ' outros vegetais',
+  ' carne de porco',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' produtos sazonais',
+  ' coalhada',
+  ' espumante',
+  ' queijo duro',
+  ' vegetais de raiz',
+  ' café',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' queijo duro',
+  ' chantilly/creme azedo',
+  ' jornais'],
+ [' cerveja em lata',
+  ' carne',
+  ' salsicha',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' refrigerante',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' chantilly/creme azedo',
+  ' leite UHT',
+  ' jornais',
+  ' bebidas'],
+ [' peru',
+  ' outros vegetais',
+  ' carne',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' peixe enlatado',
+  ' goma de mascar'],
+ [' fruta/legumes embalados',
+  ' leite UHT',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' cebola',
+  ' ovos domésticos'],
+ [' massa',
+  ' leite inteiro',
+  ' manteiga',
+  ' outros vegetais',
+  ' queijo duro',
+  ' chocolate',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' chantilly/creme azedo',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' barra de especialidade',
+  ' molhos'],
+ [' citrino',
+  ' fruta tropical',
+  ' frango',
+  ' leite inteiro',
+  ' manteiga',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' lanche de nozes',
+  ' água engarrafada',
+  ' especiarias',
+  ' produto de panificação longa vida',
+  ' queijo fatiado',
+  ' rolos/pãezinhos',
+  ' foto/filme'],
+ [' salsicha',
+  ' iogurte',
+  ' bagas',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' barra de especialidade',
+  'waffles'],
+ [' leite inteiro',
+  ' café',
+  ' fruta/legumes embalados',
+  ' leite inteiro',
+  ' refrigerante',
+  ' cebola',
+  ' iogurte',
+  ' peixe congelado',
+  ' maionese'],
+ [' cerveja em lata',
+  ' citrino',
+  ' sobremesa',
+  ' carne de hamburguer',
+  ' vegetais de raiz',
+  ' citrino',
+  ' peixe enlatado',
+  ' produto de panificação longa vida',
+  ' leite inteiro',
+  ' Margarina',
+  ' limpador de prato',
+  ' sacolas de compras',
+  ' pão branco',
+  ' película aderente/sacos',
+  ' rolos/pãezinhos',
+  ' queijo especial'],
+ [' citrino',
+  ' pastelaria',
+  ' maionese',
+  ' salsicha',
+  ' peru',
+  ' salsicha',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' clínica de cuidado de animais domésticos',
+  ' guardanapos',
+  ' ovos domésticos',
+  ' refrigerante',
+  ' peixe enlatado'],
+ [' licor (aperitivo)',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' vinho branco',
+  ' carne bovina',
+  ' leite inteiro',
+  ' queijo fatiado',
+  ' queijo duro',
+  ' vegetais de raiz',
+  ' carne de porco',
+  ' leite inteiro',
+  ' doce',
+  ' óleo',
+  ' óleo',
+  ' iogurte',
+  ' pastelaria',
+  ' ovos domésticos',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' doce',
+  ' vegetais enlatados'],
+ [' citrino',
+  ' leite UHT',
+  ' salsicha',
+  ' outros vegetais',
+  ' iogurte',
+  ' chocolate especial',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' licor',
+  ' refrigerante',
+  ' pratos',
+  'waffles',
+  ' Leite condensado',
+  ' refrigerante',
+  ' mostarda',
+  ' água engarrafada',
+  ' pão branco',
+  ' chantilly/creme azedo',
+  ' toalhas de cozinha',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' lanche salgado',
+  ' rum',
+  ' sopas',
+  ' sacolas de compras',
+  ' cerveja engarrafada',
+  ' clínica de cuidado de animais domésticos'],
+ [' salsicha',
+  ' carne de porco',
+  ' carne',
+  ' fruta tropical',
+  ' cerveja engarrafada',
+  ' café',
+  ' cebola',
+  ' pão integral',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' Refeições congeladas',
+  ' licor',
+  ' leite UHT',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' ovos domésticos',
+  ' ovos domésticos',
+  ' leite inteiro',
+  'waffles',
+  ' água engarrafada',
+  ' geléia',
+  ' produto de panificação longa vida',
+  ' pastelaria',
+  ' produtos de manutenção da casa'],
+ [' frango',
+  ' vegetais enlatados',
+  ' marshmallow de chocolate',
+  ' cebola',
+  ' fruta semente',
+  ' leite inteiro',
+  ' iogurte',
+  ' óleo',
+  ' coalhada',
+  ' detergente'],
+ [' carne de hamburguer',
+  ' outros vegetais',
+  ' carne de porco',
+  ' clínica de cuidado de animais domésticos',
+  ' rolos/pãezinhos',
+  ' carne de porco',
+  ' vegetais congelados',
+  ' cebola',
+  ' leite inteiro',
+  ' foto/filme',
+  ' leite inteiro',
+  ' massa',
+  ' Requeijão cremoso'],
+ [' salsicha',
+  ' pratos',
+  ' Soro de leite coalhado',
+  ' refrigerante',
+  ' outros vegetais',
+  ' sobremesa',
+  ' pastelaria',
+  ' rolos/pãezinhos'],
+ [' carne bovina',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' Soro de leite coalhado'],
+ [' citrino',
+  ' cerveja em lata',
+  ' sorvete',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' cebola',
+  ' fruta tropical',
+  ' salsicha',
+  ' citrino',
+  ' leite inteiro',
+  ' óleo',
+  ' misc. bebidas',
+  ' cerveja engarrafada',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  ' chantilly/creme azedo',
+  ' jornais',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' leite UHT',
+  ' leite UHT',
+  ' carne',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' bagas',
+  ' Soro de leite coalhado',
+  ' vegetais de raiz',
+  ' sacolas de compras',
+  ' manteiga',
+  ' sacolas de compras',
+  ' guardanapos'],
+ [' doce',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' bagas',
+  ' vinho tinto/blush',
+  ' rolos/pãezinhos',
+  ' mostarda',
+  ' cerveja em lata'],
+ [' jornais',
+  ' refrigerante',
+  ' Requeijão cremoso',
+  ' salsicha',
+  ' suco de frutas/legumes',
+  ' Margarina',
+  ' açúcar',
+  ' limpador de prato'],
+ [' carne bovina',
+  ' fruta tropical',
+  ' Refeições congeladas',
+  ' cerveja em lata',
+  ' peixe congelado',
+  ' iogurte',
+  ' outros vegetais',
+  ' cuidado dental',
+  ' leite inteiro'],
+ [' salsicha',
+  ' citrino',
+  ' manteiga',
+  ' pão branco',
+  ' bebidas',
+  ' Margarina',
+  ' velas',
+  ' massa'],
+ [' salsicha',
+  ' bagas',
+  ' ovos domésticos',
+  ' café',
+  ' cerveja engarrafada',
+  ' chantilly/creme azedo',
+  ' pratos',
+  ' leite UHT',
+  ' outros vegetais',
+  ' Soro de leite coalhado',
+  ' doce',
+  ' produtos de manutenção da casa',
+  ' artigos de higiene',
+  ' jornais'],
+ [' cerveja em lata',
+  ' leite inteiro',
+  ' presunto',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' fruta tropical',
+  ' bagas',
+  ' guardanapos',
+  ' sal',
+  ' vegetais congelados',
+  ' pão semi-acabado',
+  ' comida de gato',
+  ' guardanapos',
+  ' doce'],
+ [' cerveja engarrafada',
+  ' pastelaria',
+  ' outros vegetais',
+  ' manteiga',
+  ' foto/filme',
+  ' leite inteiro',
+  ' iogurte',
+  ' chocolate',
+  ' Refeições congeladas',
+  ' pastelaria',
+  ' Requeijão cremoso'],
+ [' cebola',
+  ' frango',
+  ' salsicha',
+  ' frango',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' iogurte',
+  ' vegetais de raiz',
+  ' vasos de plantas',
+  ' requeijão',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' sopas',
+  ' refrigerante',
+  ' chocolate',
+  ' café',
+  ' guardanapos'],
+ [' fruta tropical',
+  ' produtos finalizados',
+  ' carne de porco',
+  ' cebola',
+  ' cerveja em lata',
+  ' massa',
+  ' fruta tropical',
+  ' refrigerante',
+  ' artigos de higiene',
+  ' pastelaria'],
+ [' água engarrafada',
+  ' vegetais de raiz',
+  ' misc. bebidas',
+  ' Produtos alimentares instantâneos',
+  ' suco de frutas/legumes'],
+ [' carne bovina',
+  ' salsicha',
+  ' leite inteiro',
+  ' pão branco',
+  ' bagas',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' vegetais de raiz'],
+ [' salsicha',
+  ' presunto',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' carne bovina',
+  ' barra de especialidade',
+  ' sorvete',
+  ' refrigerante',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' Refeições congeladas',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' toalhas de cozinha',
+  ' leite inteiro',
+  ' doce',
+  ' suco de frutas/legumes'],
+ [' spray de cabelo',
+  ' pão de fígado',
+  ' leite inteiro',
+  ' salsicha',
+  ' sobremesa',
+  ' chocolate',
+  ' chantilly/creme azedo',
+  ' espalhar queijo',
+  ' jornais',
+  ' ervas',
+  ' rolos/pãezinhos',
+  ' detergente',
+  ' artif. adoçante'],
+ [' frango',
+  ' carne de hamburguer',
+  ' vegetais de raiz',
+  ' vasos de plantas',
+  ' frango',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' sal',
+  ' Produtos alimentares instantâneos'],
+ [' carne de porco',
+  ' carne bovina',
+  ' fruta/legumes embalados',
+  ' fruta tropical',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' licor',
+  ' pastas doces',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' sorvete',
+  ' peixe',
+  ' frango',
+  ' citrino',
+  ' legumes em conserva',
+  ' carne de porco',
+  ' refrigerante',
+  ' queijo duro',
+  ' jornais'],
+ [' carne', ' leite inteiro', ' chantilly/creme azedo'],
+ [' outros vegetais',
+  ' fruta semente',
+  ' vinho branco',
+  ' fruta tropical',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' pastas doces'],
+ [' água engarrafada',
+  ' óleo',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' sorvete',
+  ' chocolate',
+  ' café',
+  ' carne de porco',
+  ' sacolas de compras',
+  ' sal',
+  ' geléia'],
+ [' foto/filme',
+  ' vinho branco',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' goma de mascar',
+  ' açúcar'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' guardanapos',
+  ' vasos de plantas',
+  ' outros vegetais',
+  ' guardanapos',
+  ' vegetais de raiz',
+  ' detergente',
+  ' queijo duro',
+  ' Margarina',
+  ' chantilly/creme azedo',
+  ' chocolate',
+  ' açúcar',
+  ' queijo especial',
+  ' artigos de higiene',
+  ' vinho branco'],
+ [' uvas', ' rolos/pãezinhos', ' vasos de plantas'],
+ [' ovos domésticos',
+  ' salsicha orgânica',
+  ' fruta tropical',
+  ' iogurte',
+  ' outros vegetais',
+  ' goma de mascar',
+  ' pão branco',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' refrigerante',
+  ' cerveja engarrafada',
+  ' fermento em pó',
+  ' pão integral',
+  ' manteiga',
+  ' refrigerante',
+  ' iogurte',
+  ' suco de frutas/legumes',
+  ' óleo',
+  ' rolos/pãezinhos',
+  'waffles'],
+ [' rolos/pãezinhos',
+  ' pastelaria',
+  ' carne de porco',
+  ' ervas',
+  ' leite inteiro',
+  ' bebidas',
+  ' vegetais de raiz',
+  ' goma de mascar',
+  ' Margarina',
+  ' carne',
+  ' queijo fatiado',
+  ' uvas',
+  ' molhos',
+  ' iogurte',
+  ' rum',
+  ' água engarrafada',
+  ' ovos domésticos'],
+ [' fruta tropical',
+  ' água engarrafada',
+  ' salsicha',
+  ' leite inteiro',
+  ' iogurte',
+  ' refrigerante',
+  ' bebidas',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' pão branco',
+  ' Refeições congeladas'],
+ [' frango',
+  ' outros vegetais',
+  ' carne de porco',
+  ' Margarina',
+  ' peixe congelado',
+  'waffles',
+  ' pão integral'],
+ [' salsicha',
+  ' carne',
+  ' bagas',
+  ' sacolas de compras',
+  ' peixe enlatado',
+  ' fermento em pó',
+  ' vegetais congelados'],
+ [' bagas',
+  ' produtos finalizados',
+  ' sobremesa',
+  ' Leite condensado',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  'waffles',
+  ' limpador de prato'],
+ [' Margarina',
+  ' suco de frutas/legumes',
+  ' carne',
+  ' carne bovina',
+  ' rolos/pãezinhos',
+  ' massa',
+  ' chantilly/creme azedo',
+  ' fermento em pó'],
+ [' fruta tropical',
+  ' manteiga',
+  ' carne de porco',
+  ' coalhada',
+  ' café',
+  ' carne',
+  ' outros vegetais',
+  ' citrino',
+  ' leite inteiro',
+  ' óleo',
+  ' ovos domésticos',
+  ' vinho branco',
+  ' Requeijão cremoso',
+  ' iogurte',
+  ' chocolate',
+  ' chocolate especial',
+  ' barra de especialidade',
+  ' vinagre'],
+ [' presunto',
+  ' café instantâneo',
+  ' outros vegetais',
+  ' carne de porco',
+  ' fruta/legumes embalados',
+  ' leite inteiro',
+  ' goma de mascar',
+  ' Margarina',
+  ' outros vegetais',
+  ' barra de especialidade',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' chantilly/creme azedo'],
+ [' carne de hamburguer',
+  ' fruta tropical',
+  ' goma de mascar',
+  ' espalhar queijo',
+  ' coalhada'],
+ [' iogurte',
+  ' fruta tropical',
+  ' citrino',
+  ' citrino',
+  ' queijo fatiado',
+  ' Margarina',
+  ' jornais',
+  ' pastas doces',
+  ' chantilly/creme azedo',
+  ' sacolas de compras'],
+ [' refrigerante',
+  ' nozes/ameixas',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' frango',
+  ' salsicha',
+  ' carne de porco',
+  ' pão integral',
+  ' vegetais de raiz',
+  ' cerveja engarrafada',
+  ' iogurte',
+  ' vinho tinto/blush',
+  ' água engarrafada',
+  ' artigos de higiene',
+  ' jornais',
+  ' pão integral'],
+ [' iogurte',
+  ' carne de porco',
+  ' produtos de batata congelada',
+  ' clínica de cuidado de animais domésticos',
+  ' fruta semente',
+  ' produtos sanitários femininos',
+  ' pastelaria',
+  ' leite inteiro',
+  ' Refeições congeladas',
+  ' barra de bolo',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' coalhada',
+  ' bagas',
+  ' vegetais congelados',
+  ' suco de frutas/legumes',
+  ' cerveja engarrafada'],
+ [' refrigerante',
+  ' frango',
+  ' salsicha',
+  ' cebola',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' vegetais enlatados',
+  ' Requeijão cremoso',
+  ' fruta semente',
+  ' artigos de higiene',
+  ' guardanapos',
+  ' vinho branco',
+  ' queijo especial',
+  ' Margarina',
+  ' pão branco',
+  ' chantilly/creme azedo',
+  ' massa',
+  ' ovos domésticos'],
+ [' salsicha',
+  ' água engarrafada',
+  ' refrigerante',
+  ' sorvete',
+  ' frango',
+  ' coalhada',
+  ' Refeições congeladas',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' vinho tinto/blush',
+  ' cebola',
+  ' iogurte',
+  ' café instantâneo',
+  ' suco de frutas/legumes',
+  ' jornais'],
+ [' citrino',
+  ' coalhada',
+  ' fruta semente',
+  ' fruta semente',
+  ' chocolate',
+  ' vegetais congelados',
+  ' açúcar',
+  ' lanche salgado',
+  ' Margarina',
+  ' leite inteiro',
+  ' Margarina',
+  ' pastelaria'],
+ [' jornais',
+  ' salsicha',
+  ' foto/filme',
+  ' outros vegetais',
+  ' iogurte',
+  ' salsicha',
+  ' pão integral',
+  ' frango',
+  ' bebidas',
+  ' outros vegetais',
+  ' açúcar',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' ovos domésticos',
+  ' fruta semente',
+  ' refrigerante',
+  ' jornais'],
+ [' salsicha',
+  ' carne de porco',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' citrino',
+  ' refrigerante',
+  ' leite inteiro',
+  ' iogurte',
+  ' lanche salgado',
+  ' legumes em conserva',
+  ' outros vegetais',
+  ' refrigerante',
+  ' suco de frutas/legumes'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' carne',
+  ' cerveja em lata',
+  ' chantilly/creme azedo',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' doce',
+  ' lanche de nozes',
+  ' leite inteiro',
+  ' manteiga',
+  ' queijo duro'],
+ [' salsicha',
+  ' foto/filme',
+  ' cerveja engarrafada',
+  ' citrino',
+  ' outros vegetais',
+  ' óleo',
+  ' Margarina',
+  ' refrigerante',
+  ' suco de frutas/legumes'],
+ [' sal',
+  ' outros vegetais',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' pastelaria',
+  ' pão branco',
+  ' produtos de rolo',
+  ' queijo fatiado'],
+ [' óleo',
+  ' água engarrafada',
+  ' chantilly/creme azedo',
+  ' produtos de rolo',
+  ' Soro de leite coalhado'],
+ [' coalhada',
+  ' fruta semente',
+  ' barra de bolo',
+  ' limpador abrasivo',
+  ' ketchup'],
+ [' outros vegetais',
+  ' leite inteiro',
+  ' carne bovina',
+  ' cerveja engarrafada',
+  ' iogurte'],
+ [' citrino',
+  ' fruta tropical',
+  ' guardanapos',
+  ' rolos/pãezinhos',
+  ' queijo fatiado',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' marshmallow de chocolate'],
+ [' salsicha',
+  ' bagas',
+  ' água engarrafada',
+  ' pastelaria',
+  ' citrino',
+  ' fruta tropical',
+  ' refrigerante',
+  ' Margarina',
+  ' chantilly/creme azedo',
+  ' produtos sazonais',
+  ' barra de bolo',
+  ' bagas',
+  ' guardanapos',
+  ' manteiga',
+  ' cerveja engarrafada'],
+ [' vegetais de raiz',
+  ' carne de porco',
+  ' leite inteiro',
+  ' sorvete',
+  ' produto de panificação longa vida',
+  ' cuidados com a pele',
+  ' Margarina'],
+ [' carne bovina',
+  ' refrigerante',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' carne de hamburguer',
+  ' carne de hamburguer',
+  ' citrino',
+  ' limpador de prato',
+  ' vinho branco',
+  ' chocolate',
+  ' coalhada',
+  ' café',
+  ' bebidas',
+  ' café',
+  ' maionese',
+  ' jornais',
+  ' fruta semente',
+  ' Margarina'],
+ [' chantilly/creme azedo', ' leite inteiro', ' óleo'],
+ [' vegetais de raiz',
+  ' queijo especial',
+  ' carne de porco',
+  ' pão semi-acabado',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' espalhar queijo',
+  ' limpador de prato',
+  ' vegetais congelados'],
+ [' leite inteiro',
+  ' salsicha',
+  ' carne de porco',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' leite UHT',
+  ' refrigerante',
+  ' queijo fatiado',
+  ' refrigerante',
+  ' vinho tinto/blush',
+  ' bebidas',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' vegetais congelados',
+  ' sacolas de compras'],
+ [' carne bovina', ' espalhar queijo', ' barra de bolo'],
+ [' vegetais congelados',
+  ' carne de porco',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' sal',
+  ' salsicha',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' película aderente/sacos',
+  ' pastelaria',
+  ' iogurte',
+  ' licor',
+  ' água engarrafada',
+  ' iogurte',
+  ' refrigerante',
+  ' água engarrafada',
+  ' queijo macio',
+  ' pão integral',
+  ' coalhada',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' pratos',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' pastas doces'],
+ [' rolos/pãezinhos',
+  ' fruta semente',
+  ' citrino',
+  ' vegetais de raiz',
+  ' queijo macio',
+  ' chantilly/creme azedo',
+  ' xarope',
+  ' película aderente/sacos',
+  ' suco de frutas/legumes',
+  ' fermento em pó',
+  ' legumes em conserva'],
+ [' leite inteiro',
+  ' frango',
+  ' cerveja em lata',
+  ' iogurte',
+  ' vinho tinto/blush',
+  ' leite inteiro',
+  ' fermento em pó',
+  ' coalhada',
+  ' jornais'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' fruta semente',
+  ' sacolas de compras',
+  ' pão branco',
+  ' manteiga',
+  ' peixe congelado',
+  ' misc. bebidas',
+  ' Requeijão cremoso'],
+ [' citrino', ' leite inteiro', ' iogurte', ' café', ' café'],
+ [' pastelaria', ' conhaque', ' refrigerante'],
+ [' salsicha',
+  ' fruta tropical',
+  ' pastelaria',
+  ' carne de porco',
+  ' iogurte',
+  ' outros vegetais',
+  ' ketchup'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' pastelaria',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' pão integral',
+  ' chantilly/creme azedo'],
+ [' salsicha',
+  ' salsicha',
+  ' carne bovina',
+  ' salsicha',
+  ' leite inteiro',
+  ' refrigerante',
+  ' coalhada',
+  ' pão branco',
+  ' leite inteiro',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' rolos/pãezinhos'],
+ [' rolos/pãezinhos',
+  ' pastelaria',
+  ' pão de fígado',
+  ' água engarrafada',
+  ' bagas',
+  'waffles',
+  ' vinagre'],
+ [' vegetais de raiz',
+  ' leite inteiro',
+  ' peru',
+  ' fruta semente',
+  ' água engarrafada'],
+ [' iogurte',
+  ' salsicha',
+  ' ervas',
+  ' iogurte',
+  ' leite inteiro',
+  ' bagas',
+  ' Margarina',
+  ' artigos de higiene',
+  ' queijo macio',
+  ' rolos/pãezinhos',
+  ' chocolate'],
+ [' outros vegetais',
+  ' carne de hamburguer',
+  ' refrigerante',
+  ' água engarrafada',
+  ' pão integral',
+  ' fermento em pó',
+  ' vegetais de raiz',
+  ' leite UHT',
+  ' iogurte',
+  ' café',
+  ' lanche salgado',
+  ' produtos sazonais',
+  ' cerveja em lata'],
+ [' bagas',
+  ' frango',
+  ' queijo macio',
+  ' carne de porco',
+  ' uvas',
+  ' citrino',
+  ' pão branco',
+  ' suco de frutas/legumes',
+  ' cebola',
+  ' açúcar'],
+ [' bagas',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' fruta tropical',
+  ' detergente',
+  ' leite UHT',
+  ' sobremesa',
+  ' cerveja engarrafada',
+  ' Soro de leite coalhado',
+  ' leite UHT',
+  ' misc. bebidas',
+  ' bagas',
+  ' sobremesa',
+  ' jornais'],
+ [' outros vegetais', ' leite inteiro', ' refrigerante'],
+ [' rolos/pãezinhos',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' peru',
+  ' outros vegetais',
+  ' coalhada',
+  ' café',
+  ' manteiga',
+  ' artigos de higiene',
+  ' café',
+  ' suco de frutas/legumes',
+  ' legumes em conserva',
+  ' comida de gato',
+  ' ovos domésticos'],
+ [' presunto',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' cosméticos masculinos',
+  ' detergente',
+  ' rolos/pãezinhos',
+  ' lanche salgado',
+  ' jornais',
+  ' barra de bolo',
+  ' guardanapos',
+  ' iogurte'],
+ [' fruta tropical',
+  ' cerveja em lata',
+  ' salsicha',
+  ' carne de porco',
+  ' coalhada',
+  ' produtos sazonais',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' vinho branco',
+  ' Soro de leite coalhado',
+  ' iogurte',
+  ' farinha',
+  ' vinagre',
+  ' ovos domésticos'],
+ [' água engarrafada',
+  ' citrino',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' fruta tropical',
+  ' produto de panificação longa vida',
+  ' pão integral',
+  ' pastelaria',
+  ' ovos domésticos'],
+ [' Soro de leite coalhado',
+  ' carne de porco',
+  ' refrigerante',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' queijo macio',
+  ' velas',
+  ' peixe congelado',
+  ' leite inteiro',
+  ' cuidados com a pele',
+  ' chocolate',
+  ' bagas',
+  ' vasos de plantas'],
+ [' jornais',
+  ' salsicha',
+  ' salsicha',
+  ' fruta semente',
+  ' fruta tropical',
+  ' lanche salgado',
+  ' lanche salgado',
+  ' vegetais de raiz',
+  ' massa',
+  ' rum',
+  ' rolos/pãezinhos',
+  ' bebidas',
+  ' lanche salgado',
+  ' água engarrafada',
+  ' Margarina',
+  ' peixe enlatado',
+  ' pão integral'],
+ [' café',
+  ' doce',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' leite UHT'],
+ [' cerveja engarrafada',
+  ' cerveja engarrafada',
+  ' comida de gato',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' cebola',
+  ' leite inteiro',
+  ' petiscos',
+  ' manteiga',
+  ' guardanapos',
+  ' outros vegetais',
+  ' foto/filme'],
+ [' cebola',
+  ' leite inteiro',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' frango',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' fruta tropical',
+  ' citrino',
+  ' citrino',
+  ' uvas',
+  ' pastelaria',
+  ' mostarda',
+  ' produtos sazonais',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' iogurte',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' goma de mascar',
+  ' lanche salgado',
+  ' cerveja engarrafada',
+  ' vegetais congelados',
+  ' Margarina'],
+ [' carne de hamburguer',
+  ' fruta tropical',
+  ' iogurte',
+  ' fruta semente',
+  ' salsicha',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' ovos domésticos',
+  ' pão integral',
+  ' outros vegetais',
+  ' carne de hamburguer',
+  ' pão integral',
+  ' chá',
+  ' lanche de nozes',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' carne de porco',
+  ' zwieback',
+  ' bebidas',
+  ' geléia',
+  ' vegetais de raiz',
+  ' pratos',
+  ' Queijo processado'],
+ [' queijo duro',
+  ' carne',
+  ' cerveja em lata',
+  ' refrigerante',
+  ' frango',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' peixe',
+  ' chantilly/creme azedo',
+  ' ovos domésticos',
+  ' ovos domésticos',
+  ' café',
+  ' pão branco',
+  ' pão branco'],
+ [' salsicha',
+  ' molhos',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' vinho tinto/blush',
+  ' pão integral',
+  'waffles',
+  ' peixe enlatado',
+  ' Requeijão cremoso'],
+ [' carne de hamburguer',
+  ' comida de gato',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' jornais',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' comida de gato',
+  ' ovos domésticos'],
+ [' cebola', ' Requeijão cremoso', ' fermento em pó'],
+ [' café',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' refrigerante',
+  ' bebidas',
+  ' jornais'],
+ [' sacolas de compras',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' vinho branco',
+  ' suco de frutas/legumes',
+  ' Queijo processado',
+  ' refrigerante'],
+ [' iogurte',
+  ' sobremesa',
+  ' outros vegetais',
+  ' citrino',
+  ' clínica de cuidado de animais domésticos',
+  ' rolos/pãezinhos',
+  ' frango',
+  ' outros vegetais',
+  ' sobremesa congelada',
+  ' leite inteiro',
+  ' café',
+  ' pão integral',
+  ' refrigerante',
+  ' refrigerante',
+  ' sacolas de compras'],
+ [' refrigerante',
+  'waffles',
+  ' cebola',
+  ' fruta tropical',
+  ' fruta semente',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' cerveja engarrafada',
+  ' refrigerante',
+  ' queijo especial',
+  ' ovos domésticos',
+  ' vegetais congelados',
+  ' Refeições congeladas',
+  ' Requeijão cremoso',
+  ' fermento em pó',
+  ' suco de frutas/legumes',
+  ' chantilly/creme azedo',
+  ' peixe enlatado',
+  ' chantilly/creme azedo',
+  ' coalhada'],
+ [' queijo fatiado',
+  ' fruta semente',
+  ' Refeições congeladas',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' sobremesa',
+  ' pão branco',
+  ' pão integral',
+  ' chantilly/creme azedo',
+  ' chantilly/creme azedo',
+  ' Requeijão cremoso',
+  ' barra de especialidade',
+  ' suco de frutas/legumes',
+  ' pastelaria'],
+ [' iogurte', ' leite inteiro', ' rolos/pãezinhos', ' refrigerante'],
+ [' ovos domésticos',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' citrino',
+  ' cebola',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' açúcar',
+  ' mostarda',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' lanche salgado',
+  ' carne de porco',
+  ' pastelaria',
+  ' carne',
+  ' vinho branco',
+  ' leite inteiro',
+  ' licor',
+  ' Soro de leite coalhado',
+  ' maionese',
+  ' Pipoca'],
+ [' carne',
+  ' fruta/legumes embalados',
+  ' citrino',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' fruta semente',
+  ' chocolate especial',
+  ' sobremesa',
+  ' pão integral',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' barra de especialidade',
+  ' café'],
+ [' limpador de prato',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' pastelaria',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' Margarina',
+  ' manteiga',
+  ' queijo duro',
+  ' leite inteiro',
+  ' chocolate',
+  ' vegetais enlatados'],
+ [' outros vegetais',
+  ' frango',
+  ' iogurte',
+  ' salsicha orgânica',
+  ' sobremesa',
+  ' fruta tropical',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' queijo macio'],
+ [' leite inteiro',
+  ' rolos/pãezinhos',
+  ' salsicha',
+  ' salsicha',
+  ' artigos de higiene',
+  ' cerveja engarrafada',
+  ' barra de especialidade',
+  ' carne de porco',
+  ' refrigerante',
+  ' massa',
+  ' peixe enlatado',
+  ' chocolate',
+  ' suco de frutas/legumes',
+  ' sacolas de compras',
+  ' sopas',
+  ' massa'],
+ [' outros vegetais',
+  ' cebola',
+  ' fruta semente',
+  ' outros vegetais',
+  ' queijo duro',
+  ' salsicha',
+  ' peixe enlatado',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' uvas',
+  ' outros vegetais'],
+ [' fruta tropical',
+  ' cerveja em lata',
+  ' salsicha',
+  ' leite inteiro',
+  ' citrino',
+  ' carne bovina',
+  ' carne',
+  ' rolos/pãezinhos',
+  'waffles',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' comida de gato',
+  ' pão integral',
+  ' coalhada',
+  ' pão branco',
+  ' sacolas de compras',
+  ' Refeições congeladas',
+  ' Queijo processado',
+  ' pastelaria',
+  ' açúcar'],
+ [' fermento em pó',
+  ' frango',
+  ' frango',
+  ' leite inteiro',
+  ' peru',
+  ' carne bovina',
+  ' outros vegetais',
+  ' cerveja em lata',
+  ' refrigerante',
+  ' chocolate',
+  ' sacolas de compras'],
+ [' barra de especialidade',
+  ' água engarrafada',
+  ' açúcar',
+  ' fruta tropical',
+  ' salsicha',
+  ' iogurte',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' pastelaria',
+  ' coalhada',
+  ' pão semi-acabado',
+  ' fruta tropical',
+  ' refrigerante',
+  ' pão branco',
+  ' maionese',
+  ' manteiga'],
+ [' sorvete',
+  ' leite inteiro',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' café',
+  ' carne',
+  ' iogurte',
+  ' outros vegetais'],
+ [' salsicha',
+  ' outros vegetais',
+  ' refrigerante',
+  ' salsicha',
+  ' barra de especialidade',
+  ' Requeijão cremoso'],
+ [' água engarrafada',
+  ' vegetais de raiz',
+  ' frango',
+  ' citrino',
+  ' vegetais congelados',
+  ' pratos'],
+ [' outros vegetais',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' fruta semente',
+  ' foto/filme',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' vinho tinto/blush',
+  ' vegetais congelados',
+  ' Refeições congeladas',
+  ' pastelaria',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' jornais',
+  ' leite UHT',
+  ' chocolate especial',
+  ' Margarina'],
+ [' citrino',
+  ' uvas',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' queijo fatiado',
+  ' espalhar queijo',
+  ' sorvete',
+  ' outros vegetais',
+  ' pastelaria',
+  ' manteiga',
+  ' sorvete',
+  ' refrigerante',
+  ' café',
+  ' vegetais de raiz',
+  ' barra de especialidade',
+  ' iogurte',
+  ' vinho tinto/blush',
+  ' suco de frutas/legumes',
+  ' especiarias',
+  ' coalhada',
+  ' chantilly/creme azedo'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' pão branco',
+  ' outros vegetais',
+  ' Margarina',
+  ' outros vegetais',
+  ' pão integral',
+  ' farinha',
+  ' iogurte',
+  ' sacolas de compras',
+  ' farinha',
+  ' outros vegetais',
+  ' farinha',
+  ' produtos sazonais'],
+ [' ovos domésticos',
+  ' leite inteiro',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' fruta semente',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' iogurte',
+  ' refrigerante',
+  ' Refeições congeladas',
+  ' sopas',
+  ' iogurte',
+  ' leite UHT'],
+ [' carne de porco',
+  ' salsicha',
+  ' velas',
+  ' vegetais de raiz',
+  ' pão integral',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' rolos/pãezinhos'],
+ [' queijo especial',
+  ' presunto',
+  ' queijo duro',
+  ' fruta tropical',
+  ' cerveja engarrafada',
+  ' sobremesa',
+  ' queijo fatiado',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' pão branco',
+  ' licor (aperitivo)',
+  ' água engarrafada'],
+ [' carne de porco',
+  ' salsicha',
+  ' refrigerante',
+  ' bagas',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' vinho tinto/blush',
+  ' pão integral',
+  ' cerveja engarrafada'],
+ [' carne bovina',
+  ' cebola',
+  ' carne',
+  ' vegetais de raiz',
+  ' uvas',
+  ' coalhada',
+  ' leite UHT',
+  ' pão branco'],
+ [' outros vegetais',
+  ' vegetais de raiz',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' carne bovina',
+  ' citrino',
+  ' pastelaria',
+  ' cerveja em lata',
+  ' iogurte',
+  ' coalhada',
+  ' pão semi-acabado',
+  ' suco de frutas/legumes'],
+ [' frango',
+  ' fruta tropical',
+  ' fruta semente',
+  ' maionese',
+  ' outros vegetais',
+  ' carne',
+  ' sobremesa congelada',
+  ' leite inteiro',
+  ' citrino',
+  ' produtos de rolo',
+  ' café',
+  ' guardanapos',
+  ' Refeições congeladas',
+  ' jornais',
+  ' rolos/pãezinhos',
+  ' lanche salgado'],
+ [' refrigerante',
+  ' salsicha',
+  ' salsicha',
+  ' fruta tropical',
+  ' bebidas',
+  ' Requeijão cremoso'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' presunto',
+  ' vegetais de raiz',
+  ' cerveja engarrafada',
+  ' pastelaria',
+  ' salsicha',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' citrino',
+  ' leite inteiro',
+  ' iogurte',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' açúcar',
+  ' zwieback',
+  ' açúcar',
+  ' Leite condensado',
+  ' ovos domésticos',
+  ' fruta tropical',
+  ' Margarina',
+  ' coalhada',
+  ' fermento em pó',
+  ' ovos domésticos',
+  ' farinha',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' limpador de banheiro',
+  ' leite inteiro',
+  ' cebola',
+  ' pastelaria',
+  'waffles',
+  ' cerveja em lata',
+  ' jornais',
+  ' Margarina',
+  ' açúcar'],
+ [' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' carne',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' coalhada',
+  ' outros vegetais',
+  ' cerveja engarrafada'],
+ [' cerveja engarrafada',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' limpador'],
+ [' vegetais de raiz',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' peixe enlatado',
+  ' sacolas de compras',
+  ' cerveja em lata'],
+ [' pastelaria',
+  ' sorvete',
+  ' salsicha',
+  ' leite inteiro',
+  ' pastas de carne',
+  ' carne',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' fruta semente',
+  ' ovos domésticos',
+  ' açúcar',
+  ' água engarrafada'],
+ [' citrino',
+  ' iogurte',
+  ' fruta tropical',
+  ' Leite condensado',
+  ' uvas',
+  ' refrigerante',
+  ' carne de hamburguer',
+  ' Margarina'],
+ [' leite inteiro',
+  ' suco de frutas/legumes',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' produtos de rolo',
+  ' ovos domésticos',
+  ' pastelaria',
+  ' mostarda'],
+ [' refrigerante', ' pão semi-acabado'],
+ [' água engarrafada',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' pão branco',
+  ' Soro de leite coalhado'],
+ [' fruta tropical',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' artigos de higiene',
+  ' citrino',
+  ' citrino',
+  ' peixe congelado',
+  ' comida de gato',
+  ' pão branco',
+  ' chocolate'],
+ [' lanche salgado',
+  ' citrino',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' vegetais congelados',
+  ' Requeijão cremoso',
+  ' jornais',
+  ' Sementes de flores)',
+  ' pão branco',
+  ' leite inteiro',
+  ' coalhada',
+  ' guardanapos'],
+ [' água engarrafada',
+  ' licor (aperitivo)',
+  ' leite inteiro',
+  ' salsicha',
+  ' salsicha',
+  ' iogurte',
+  ' salsicha',
+  ' refrigerante',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' café instantâneo',
+  ' bagas',
+  ' chocolate',
+  ' vasos de plantas',
+  ' fruta/legumes embalados',
+  ' refrigerante',
+  ' pastelaria',
+  ' iogurte',
+  ' carne de porco',
+  ' cerveja engarrafada',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' fruta semente',
+  ' sacolas de compras',
+  ' pão branco',
+  ' Sementes de flores)',
+  ' cerveja engarrafada',
+  ' refrigerante',
+  ' pudim em pó',
+  ' sacolas de compras',
+  ' pão integral'],
+ [' chocolate',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' fermento em pó',
+  ' vegetais de raiz',
+  ' queijo duro',
+  ' sacolas de compras',
+  ' licor',
+  ' sacolas de compras'],
+ [' citrino',
+  ' salsicha',
+  ' bagas',
+  ' refrigerante',
+  ' pastelaria',
+  ' clínica de cuidado de animais domésticos',
+  ' jornais',
+  ' refrigerante',
+  ' cebola',
+  ' bagas',
+  ' Sementes de flores)',
+  ' outros vegetais'],
+ [' água engarrafada',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' fruta semente',
+  ' sobremesa',
+  ' suco de frutas/legumes',
+  ' guardanapos',
+  ' rolos/pãezinhos',
+  ' Uísque'],
+ [' cebola',
+  ' carne bovina',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' citrino',
+  ' cebola',
+  ' carne bovina',
+  ' leite inteiro',
+  ' sobremesa',
+  ' comida de gato',
+  ' leite inteiro',
+  ' outros vegetais'],
+ [' sobremesa',
+  ' carne de porco',
+  ' carne de porco',
+  ' água engarrafada',
+  ' chá'],
+ [' carne bovina',
+  ' presunto',
+  ' peixe',
+  ' salsicha',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' manteiga',
+  ' Requeijão cremoso',
+  ' cerveja engarrafada',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' jornais',
+  ' iogurte'],
+ [' rolos/pãezinhos',
+  ' outros vegetais',
+  ' carne bovina',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' sorvete',
+  ' citrino',
+  ' refrigerante',
+  ' coalhada',
+  ' ervas',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' manteiga',
+  ' Margarina'],
+ [' carne bovina',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' produtos sazonais',
+  ' carne bovina',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' pão branco'],
+ [' refrigerante',
+  ' presunto',
+  ' refrigerante',
+  ' Margarina',
+  ' fruta semente',
+  ' barra de bolo',
+  ' cerveja engarrafada',
+  ' espalhar queijo',
+  ' água engarrafada',
+  ' cereais'],
+ [' café',
+  ' leite inteiro',
+  ' presunto',
+  ' salsicha',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' sobremesa',
+  ' Requeijão cremoso',
+  ' leite inteiro',
+  ' ketchup',
+  ' cerveja engarrafada',
+  ' fermento em pó',
+  ' refrigerante',
+  ' goma de mascar'],
+ [' rolos/pãezinhos',
+  ' zwieback',
+  ' misc. bebidas',
+  ' salsicha',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' vegetais congelados',
+  'waffles',
+  ' leite inteiro',
+  ' guardanapos',
+  ' iogurte',
+  ' cerveja engarrafada',
+  ' lanche salgado'],
+ [' refrigerante',
+  ' salsicha',
+  ' frango',
+  ' foto/filme',
+  ' vegetais de raiz',
+  ' barra de especialidade',
+  ' peixe congelado',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' sopas',
+  ' ovos domésticos',
+  ' suco de frutas/legumes',
+  ' descalcificante'],
+ [' salsicha',
+  ' fruta semente',
+  ' cerveja engarrafada',
+  ' outros vegetais',
+  ' citrino',
+  ' peixe enlatado',
+  ' coalhada',
+  ' suco de frutas/legumes'],
+ [' carne bovina',
+  ' salsicha',
+  ' citrino',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' carne de hamburguer',
+  ' sorvete',
+  ' chocolate',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' maionese',
+  ' goma de mascar',
+  ' Pipoca',
+  ' vegetais de raiz',
+  ' doce',
+  ' pão branco',
+  ' bebidas',
+  ' produtos sazonais',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' pão integral',
+  ' água engarrafada',
+  'waffles'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' carne',
+  ' sobremesa',
+  ' leite UHT',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' lanche de nozes',
+  ' água engarrafada'],
+ [' carne de porco',
+  ' outros vegetais',
+  ' leite UHT',
+  ' chantilly/creme azedo'],
+ [' bagas', ' pão integral'],
+ [' salsicha',
+  ' salsicha',
+  ' iogurte',
+  ' salsicha',
+  ' vinho tinto/blush',
+  ' pastelaria'],
+ [' água engarrafada',
+  ' outros vegetais',
+  ' iogurte',
+  ' iogurte',
+  ' refrigerante'],
+ [' fruta tropical',
+  ' salsicha',
+  ' cerveja em lata',
+  ' salsicha',
+  ' carne de porco',
+  ' fermento em pó',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' produto de panificação longa vida',
+  ' Queijo processado',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' produtos de batata congelada',
+  ' chantilly/creme azedo',
+  ' chantilly/creme azedo',
+  ' barra de especialidade',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' lanches',
+  ' açúcar',
+  ' rolos/pãezinhos'],
+ [' ervas',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' café instantâneo',
+  ' citrino',
+  ' citrino',
+  ' carne bovina',
+  ' Soro de leite coalhado',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' Soro de leite coalhado',
+  ' sacolas de compras',
+  ' Sementes de flores)',
+  ' pão integral'],
+ [' iogurte',
+  ' carne',
+  ' Refeições congeladas',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' lanche salgado',
+  ' jornais',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' queijo especial',
+  ' leite inteiro',
+  ' guardanapos',
+  ' rolos/pãezinhos',
+  ' açúcar'],
+ [' Produtos alimentares instantâneos',
+  ' fruta semente',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' fruta semente',
+  ' água engarrafada',
+  ' leite UHT',
+  ' Margarina',
+  ' Requeijão cremoso'],
+ [' café',
+  ' cerveja em lata',
+  ' Refeições congeladas',
+  ' rolos/pãezinhos',
+  ' carne de porco',
+  ' vasos de plantas',
+  ' refrigerante',
+  ' guardanapos',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' cerveja em lata',
+  ' vegetais de raiz',
+  ' suco de frutas/legumes',
+  ' vegetais congelados',
+  ' vegetais de raiz',
+  ' sobremesa',
+  ' iogurte',
+  ' leite inteiro',
+  ' café',
+  ' pastelaria',
+  ' iogurte',
+  ' café'],
+ [' cerveja engarrafada',
+  ' fruta semente',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' produtos de batata congelada',
+  ' refrigerante',
+  ' pastas doces',
+  ' chocolate',
+  ' cerveja engarrafada',
+  ' guardanapos',
+  ' iogurte',
+  ' velas',
+  ' produtos sazonais',
+  ' espumante',
+  ' peixe enlatado'],
+ [' carne bovina',
+  ' citrino',
+  ' leite inteiro',
+  ' sobremesa',
+  ' água engarrafada',
+  ' outros vegetais'],
+ [' leite inteiro',
+  ' pastelaria',
+  ' refrigerante',
+  ' fruta tropical',
+  ' produtos de batata congelada',
+  ' queijo duro',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' açúcar',
+  ' requeijão',
+  ' água engarrafada'],
+ [' salsicha',
+  ' salsicha',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' vinho branco',
+  ' carne',
+  ' espalhar queijo',
+  ' salsicha',
+  ' sal',
+  ' cerveja engarrafada',
+  ' cebola',
+  ' leite inteiro',
+  ' fruta semente',
+  ' maionese',
+  ' iogurte',
+  ' pão semi-acabado',
+  ' misc. bebidas',
+  'waffles'],
+ [' salsicha',
+  ' citrino',
+  ' salsicha',
+  ' cerveja em lata',
+  ' artigos de higiene',
+  ' bagas',
+  ' presunto',
+  ' cerveja em lata',
+  ' vegetais congelados',
+  ' carne de porco',
+  ' iogurte',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' queijo macio',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' iogurte',
+  ' leite inteiro',
+  ' uvas',
+  ' ervas',
+  ' rolos/pãezinhos',
+  ' cebola',
+  ' marshmallow de chocolate'],
+ [' outros vegetais',
+  ' citrino',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' misc. bebidas',
+  ' lanche salgado',
+  ' citrino',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' fruta semente',
+  ' mostarda',
+  ' ovos domésticos',
+  ' cerveja em lata',
+  ' goma de mascar',
+  ' ovos domésticos',
+  ' queijo fatiado'],
+ [' salsicha',
+  ' Refeições congeladas',
+  ' citrino',
+  ' peixe enlatado',
+  ' refrigerante',
+  ' presunto',
+  ' chocolate',
+  ' chocolate especial',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' produtos de rolo'],
+ [' leite inteiro',
+  ' salsicha',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' café',
+  ' chocolate especial',
+  ' vegetais congelados',
+  ' ovos domésticos',
+  ' refrigerante',
+  ' guardanapos',
+  ' lanche salgado'],
+ [' salsicha',
+  ' fruta/legumes embalados',
+  ' manteiga',
+  ' chantilly/creme azedo',
+  ' lâmpadas',
+  ' carne de porco',
+  ' produtos de manutenção da casa',
+  ' leite inteiro',
+  ' jornais',
+  ' vegetais congelados',
+  ' mostarda',
+  ' guardanapos'],
+ [' outros vegetais',
+  ' carne bovina',
+  ' barra de especialidade',
+  ' manteiga',
+  ' presunto',
+  ' outros vegetais'],
+ [' água engarrafada',
+  ' salsicha',
+  ' salsicha',
+  ' leite UHT',
+  ' leite inteiro',
+  ' fruta semente',
+  ' iogurte',
+  ' pão integral'],
+ [' outros vegetais',
+  ' pão semi-acabado',
+  ' ervas',
+  ' leite inteiro',
+  ' mostarda'],
+ [' carne de hamburguer',
+  ' carne bovina',
+  ' salsicha',
+  ' cerveja em lata',
+  ' bagas',
+  ' salsicha orgânica',
+  ' doce',
+  ' leite UHT',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' café'],
+ [' sacolas de compras',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' peixe enlatado',
+  ' Leite condensado',
+  ' pastelaria'],
+ [' leite inteiro',
+  ' citrino',
+  ' bebidas',
+  ' Margarina',
+  ' queijo duro',
+  ' carne bovina',
+  ' fruta/legumes embalados',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' cerveja em lata',
+  ' cerveja engarrafada'],
+ [' sorvete',
+  ' citrino',
+  ' produtos finalizados',
+  ' fruta tropical',
+  ' citrino',
+  ' leite inteiro',
+  ' bagas',
+  ' vegetais de raiz'],
+ [' pastelaria',
+  ' salsicha',
+  ' produtos sazonais',
+  ' uvas',
+  ' vegetais de raiz',
+  ' vinho branco',
+  ' pastelaria',
+  ' pão integral',
+  ' cerveja em lata'],
+ [' presunto', ' barra de especialidade'],
+ [' salsicha',
+  ' produtos finalizados',
+  ' carne de porco',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' vinho branco',
+  ' misc. bebidas',
+  ' marshmallow de chocolate',
+  ' ervas',
+  ' café',
+  ' pão branco',
+  ' bebidas',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' refrigerante'],
+ [' salsicha',
+  ' jornais',
+  ' cerveja em lata',
+  ' ervas',
+  ' detergente',
+  ' pão branco',
+  ' cosméticos masculinos',
+  ' chocolate'],
+ [' cerveja engarrafada', ' iogurte'],
+ [' água engarrafada',
+  ' café',
+  ' iogurte',
+  ' pão integral',
+  ' leite inteiro',
+  ' pão integral',
+  ' Fruta enlatada'],
+ [' carne', ' outros vegetais'],
+ [' sobremesa',
+  ' lanche salgado',
+  ' rolos/pãezinhos',
+  ' misc. bebidas',
+  ' cerveja engarrafada',
+  ' fruta tropical',
+  ' água engarrafada',
+  ' descalcificante',
+  ' pão semi-acabado',
+  ' refrigerante'],
+ [' outros vegetais',
+  ' sacolas de compras',
+  ' coalhada',
+  ' vegetais congelados',
+  ' coalhada',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' pão branco'],
+ [' presunto',
+  ' água engarrafada',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' chantilly/creme azedo',
+  ' chocolate especial',
+  ' doce',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' leite inteiro',
+  ' goma de mascar',
+  ' ovos domésticos',
+  ' Soro de leite coalhado',
+  ' café'],
+ [' barra de especialidade',
+  ' salsicha',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' Requeijão cremoso',
+  ' carne bovina',
+  ' fruta semente',
+  ' leite UHT',
+  ' jornais',
+  ' leite inteiro',
+  ' doce',
+  ' ervas',
+  ' pão branco',
+  ' pão semi-acabado',
+  ' rolos/pãezinhos',
+  ' lanche salgado',
+  ' sacolas de compras',
+  ' legumes em conserva',
+  ' rolos/pãezinhos',
+  ' Refeições congeladas',
+  ' conhaque',
+  ' legumes em conserva'],
+ [' pão integral',
+  ' chantilly/creme azedo',
+  ' Leite condensado',
+  ' produtos finalizados',
+  ' salsicha',
+  ' carne',
+  ' iogurte',
+  ' fruta tropical',
+  ' iogurte',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' Queijo processado',
+  ' refrigerante',
+  ' água engarrafada',
+  ' produtos de rolo',
+  'waffles'],
+ [' leite inteiro',
+  ' pastelaria',
+  ' salsicha',
+  ' fruta/legumes embalados',
+  ' sacolas de compras',
+  ' vegetais de raiz',
+  ' cebola',
+  ' pastas doces'],
+ [' rolos/pãezinhos',
+  ' refrigerante',
+  ' frango',
+  ' carne de porco',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' jornais',
+  ' leite inteiro',
+  ' guardanapos',
+  ' iogurte'],
+ [' cerveja engarrafada',
+  ' fruta tropical',
+  ' bagas',
+  ' café',
+  ' fruta semente',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' coalhada',
+  ' fruta semente',
+  ' leite UHT',
+  ' pastelaria',
+  ' sorvete',
+  ' óleo',
+  ' Produtos alimentares instantâneos',
+  ' barra de bolo'],
+ [' clínica de cuidado de animais domésticos',
+  ' frango',
+  ' rolos/pãezinhos',
+  ' café',
+  ' fruta tropical',
+  ' pastelaria',
+  ' limpador de prato',
+  ' carne bovina',
+  ' citrino',
+  ' artigos de higiene',
+  ' fermento em pó',
+  ' iogurte',
+  ' outros vegetais',
+  ' coalhada'],
+ [' citrino', ' chantilly/creme azedo'],
+ [' carne de porco', ' citrino', ' uvas', ' fruta semente'],
+ [' vinho branco',
+  ' carne',
+  ' salsicha',
+  ' carne bovina',
+  ' citrino',
+  ' fruta tropical',
+  ' iogurte',
+  ' pratos',
+  ' iogurte',
+  ' rolos/pãezinhos'],
+ [' fruta semente',
+  ' café',
+  ' leite inteiro',
+  ' salsicha',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' iogurte',
+  ' petiscos',
+  ' iogurte',
+  ' barra de bolo',
+  ' barra de bolo',
+  ' iogurte',
+  ' produtos sanitários femininos',
+  ' chocolate',
+  ' refrigerante'],
+ [' açúcar',
+  ' leite inteiro',
+  ' manteiga',
+  ' salsicha',
+  ' chocolate',
+  ' citrino',
+  ' carne de hamburguer',
+  ' peixe enlatado',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' detergente',
+  ' fermento em pó',
+  ' iogurte',
+  ' legumes em conserva',
+  ' legumes em conserva',
+  ' legumes em conserva',
+  ' manteiga',
+  ' comida de gato',
+  ' pão integral',
+  ' água engarrafada',
+  ' vasos de plantas'],
+ [' fruta tropical',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' arroz'],
+ [' vegetais de raiz',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' queijo duro',
+  ' pão branco'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' Soro de leite coalhado',
+  ' leite UHT',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' sal',
+  ' leite inteiro',
+  ' queijo especial',
+  ' refrigerante',
+  ' sacolas de compras',
+  'waffles'],
+ [' fruta tropical',
+  ' rolos/pãezinhos',
+  ' pão integral',
+  ' vegetais de raiz',
+  ' suco de frutas/legumes',
+  ' carne',
+  ' pastelaria',
+  ' iogurte',
+  ' cerveja em lata',
+  ' salsicha',
+  ' licor (aperitivo)',
+  ' refrigerante',
+  ' queijo especial',
+  ' detergente',
+  ' fruta semente',
+  ' sobremesa',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' lanches'],
+ [' pão branco',
+  ' chocolate',
+  ' iogurte',
+  ' frango',
+  ' guardanapos',
+  ' fruta tropical',
+  ' ervas',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' comida de gato',
+  ' farinha',
+  ' chocolate',
+  ' detergente',
+  ' pão branco'],
+ [' pão integral',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' salsicha',
+  ' frango',
+  ' iogurte',
+  ' coalhada',
+  ' água engarrafada',
+  ' iogurte',
+  ' jornais',
+  ' Soro de leite coalhado',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' clínica de cuidado de animais domésticos',
+  ' ervas'],
+ [' fruta tropical',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' fruta semente',
+  ' presunto',
+  ' fruta semente',
+  ' fruta semente',
+  ' queijo duro',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' queijo duro',
+  ' peixe congelado',
+  ' sacolas de compras',
+  ' vasos de plantas',
+  ' vegetais de raiz'],
+ [' ovos domésticos',
+  ' salsicha',
+  ' carne',
+  ' água engarrafada',
+  ' frango',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' pastelaria',
+  ' iogurte',
+  ' pão integral',
+  ' jornais',
+  ' leite inteiro',
+  ' sacolas de compras',
+  ' detergente',
+  ' Margarina',
+  'waffles',
+  ' barra de especialidade'],
+ [' refrigerante',
+  ' chantilly/creme azedo',
+  ' fruta tropical',
+  ' carne de porco',
+  ' chantilly/creme azedo',
+  ' iogurte',
+  ' suco de frutas/legumes'],
+ [' leite inteiro',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' licor (aperitivo)',
+  ' frango',
+  ' fruta tropical',
+  ' leite inteiro'],
+ [' cerveja engarrafada',
+  ' peixe',
+  ' presunto',
+  ' frango',
+  ' frango',
+  ' cerveja engarrafada',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' carne de hamburguer',
+  ' leite UHT',
+  ' vegetais enlatados',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' jornais',
+  ' café',
+  ' vegetais de raiz',
+  ' queijo duro'],
+ [' carne de porco',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' refrigerante',
+  ' carne de porco',
+  ' manteiga',
+  ' iogurte',
+  ' refrigerante'],
+ [' outros vegetais',
+  ' Leite condensado',
+  ' fruta tropical',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' iogurte',
+  ' carne bovina',
+  ' coalhada',
+  ' Queijo processado',
+  ' peru',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' lanche salgado',
+  ' doce'],
+ [' iogurte', ' chocolate'],
+ [' espumante',
+  ' água engarrafada',
+  ' flor solo/fertilizante',
+  ' carne de porco',
+  ' carne bovina',
+  ' cerveja em lata',
+  ' sobremesa congelada',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' misc. bebidas',
+  ' produtos de rolo',
+  ' vegetais de raiz'],
+ [' citrino',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' guardanapos',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' pastelaria',
+  ' barra de especialidade',
+  ' especiarias',
+  ' Refeições congeladas'],
+ [' carne de hamburguer',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' citrino',
+  ' frango',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' vegetais de raiz'],
+ [' fruta/legumes embalados',
+  ' Soro de leite coalhado',
+  ' salsicha',
+  ' chocolate',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' iogurte',
+  ' pastelaria',
+  ' outros vegetais',
+  ' bebidas',
+  ' fruta semente',
+  ' requeijão',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' chantilly/creme azedo',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' manteiga',
+  ' açúcar'],
+ [' outros vegetais',
+  ' carne bovina',
+  ' pão branco',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' marshmallow de chocolate',
+  ' fruta semente',
+  ' refrigerante',
+  ' café instantâneo',
+  ' Margarina'],
+ [' refrigerante',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' jornais',
+  ' queijo duro',
+  ' peru',
+  ' sobremesa',
+  ' chantilly/creme azedo',
+  ' café'],
+ [' leite inteiro',
+  ' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' produtos de manutenção da casa',
+  ' conhaque',
+  ' clínica de cuidado de animais domésticos',
+  ' iogurte'],
+ [' ervas',
+  ' outros vegetais',
+  ' carne',
+  ' cebola',
+  ' fruta/legumes embalados',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' comida de gato'],
+ [' citrino',
+  ' salsicha',
+  ' fruta semente',
+  ' iogurte',
+  ' sorvete',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' carne bovina',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' fruta semente',
+  ' carne bovina',
+  ' manteiga',
+  ' chantilly/creme azedo'],
+ [' misc. bebidas',
+  ' suco de frutas/legumes',
+  ' pão semi-acabado',
+  ' café instantâneo',
+  ' Sementes de flores)',
+  ' ketchup',
+  ' óleo',
+  ' detergente',
+  ' sacolas de compras',
+  ' doce'],
+ [' produtos sanitários femininos',
+  ' pastelaria',
+  ' carne bovina',
+  ' pastelaria',
+  ' coalhada',
+  ' chantilly/creme azedo',
+  ' vegetais congelados',
+  ' manteiga',
+  ' ovos domésticos'],
+ [' refrigerante',
+  ' vegetais de raiz',
+  ' goma de mascar',
+  ' carne bovina',
+  ' chocolate',
+  ' cerveja engarrafada'],
+ [' fruta tropical',
+  ' iogurte',
+  ' fruta tropical',
+  ' carne de porco',
+  ' maionese',
+  ' coalhada',
+  ' queijo macio'],
+ [' pão branco',
+  ' fruta semente',
+  ' fruta tropical',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' Pipoca',
+  ' queijo fatiado',
+  ' ovos domésticos',
+  ' chantilly/creme azedo',
+  ' café instantâneo',
+  ' pratos',
+  ' espumante',
+  ' amaciante'],
+ [' café',
+  ' citrino',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' jornais',
+  ' fruta semente'],
+ [' fruta tropical',
+  ' outros vegetais',
+  ' salsicha',
+  ' carne de porco',
+  ' citrino',
+  ' fruta tropical',
+  ' Refeições congeladas',
+  ' refrigerante',
+  ' artigos de higiene',
+  ' rolos/pãezinhos'],
+ [' carne de porco',
+  ' sobremesa',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' chocolate especial'],
+ [' citrino',
+  ' vasos de plantas',
+  ' outros vegetais',
+  ' carne bovina',
+  ' rolos/pãezinhos',
+  ' coalhada'],
+ [' salsicha',
+  ' presunto',
+  ' chocolate',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' citrino',
+  ' fruta semente',
+  ' fruta semente',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' sorvete',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' goma de mascar',
+  ' gordura especial',
+  ' chantilly/creme azedo',
+  ' açúcar',
+  ' vinho tinto/blush',
+  ' cerveja engarrafada'],
+ [' salsicha',
+  ' carne de porco',
+  ' água engarrafada',
+  ' cerveja em lata',
+  ' pastelaria',
+  ' bebidas',
+  ' marshmallow de chocolate',
+  ' pão integral',
+  ' sacolas de compras',
+  ' carne',
+  ' cebola',
+  ' ervas',
+  ' sobremesa congelada',
+  ' comida de gato',
+  ' farinha',
+  ' pastelaria',
+  ' refrigerante'],
+ [' salsicha',
+  ' salsicha',
+  ' foto/filme',
+  ' leite UHT',
+  ' velas',
+  ' sacolas de compras',
+  ' água engarrafada',
+  ' vegetais congelados',
+  ' cerveja engarrafada',
+  ' goma de mascar',
+  ' uvas',
+  ' cerveja engarrafada',
+  ' artif. adoçante',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' Margarina',
+  ' suco de frutas/legumes',
+  ' manteiga',
+  ' produtos sazonais'],
+ [' outros vegetais',
+  ' água engarrafada',
+  ' fruta semente',
+  ' fruta tropical',
+  ' café',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' cerveja engarrafada'],
+ [' iogurte',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' Margarina',
+  ' licor',
+  ' iogurte',
+  ' sacolas de compras',
+  ' vegetais congelados',
+  ' leite UHT',
+  ' água engarrafada',
+  ' leite UHT',
+  ' café',
+  ' jornais'],
+ [' salsicha',
+  ' fermento em pó',
+  ' carne bovina',
+  ' fermento em pó',
+  ' mostarda'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' ovos domésticos',
+  ' sacolas de compras',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' cebola',
+  ' misc. bebidas'],
+ [' fruta semente',
+  ' salsicha',
+  ' citrino',
+  ' frango',
+  ' leite inteiro',
+  ' pastelaria',
+  ' pão integral',
+  ' mostarda',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' outros vegetais'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' frango',
+  ' artigos de higiene',
+  ' carne de hamburguer',
+  ' outros vegetais',
+  ' citrino',
+  ' carne de porco',
+  ' outros vegetais',
+  ' queijo macio',
+  ' legumes em conserva'],
+ [' cebola',
+  ' carne bovina',
+  ' salsicha',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' vinho branco',
+  ' café',
+  ' outros vegetais',
+  ' queijo especial',
+  ' iogurte'],
+ [' chocolate especial',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' guardanapos'],
+ [' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' carne de porco',
+  ' café',
+  ' fruta tropical',
+  ' chocolate'],
+ [' foto/filme',
+  ' bebidas',
+  ' salsicha',
+  ' carne de porco',
+  ' outros vegetais',
+  ' Refeições congeladas',
+  ' manteiga',
+  ' comida de gato',
+  ' coalhada',
+  ' manteiga',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' iogurte',
+  ' pão branco'],
+ [' rolos/pãezinhos',
+  ' carne de porco',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' peixe enlatado'],
+ [' cerveja em lata',
+  ' salsicha',
+  ' sorvete',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' iogurte'],
+ [' outros vegetais',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' refrigerante',
+  ' vegetais congelados',
+  ' vinho tinto/blush',
+  ' leite inteiro'],
+ [' cerveja em lata', ' cerveja em lata'],
+ [' coalhada',
+  ' carne de porco',
+  ' leite inteiro',
+  ' Leite condensado',
+  ' coalhada',
+  ' fruta tropical',
+  ' Leite condensado',
+  ' fruta semente',
+  ' manteiga',
+  'waffles',
+  ' óleo'],
+ [' manteiga',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' manteiga',
+  ' Pipoca',
+  ' ervas',
+  ' Margarina',
+  ' mostarda',
+  ' ovos domésticos',
+  ' coalhada'],
+ [' outros vegetais',
+  ' frango',
+  ' cerveja em lata',
+  ' Requeijão cremoso',
+  ' creme',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' licor',
+  ' açúcar',
+  ' refrigerante',
+  ' outros vegetais',
+  ' leite UHT',
+  ' uvas',
+  ' vinho branco'],
+ [' leite inteiro',
+  ' frango',
+  ' citrino',
+  ' Requeijão cremoso',
+  ' leite inteiro',
+  ' pastas de carne',
+  ' cebola',
+  ' cereais',
+  ' Margarina',
+  ' vegetais de raiz',
+  ' pastelaria',
+  ' iogurte',
+  ' refrigerante',
+  'waffles',
+  ' goma de mascar',
+  ' sacolas de compras',
+  ' guardanapos'],
+ [' carne bovina',
+  ' carne de porco',
+  ' carne de porco',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' leite UHT',
+  ' arroz'],
+ [' refrigerante',
+  ' bebidas',
+  ' manteiga',
+  ' Soro de leite coalhado',
+  ' iogurte',
+  ' leite inteiro',
+  ' sobremesa congelada',
+  ' vinho tinto/blush',
+  ' cebola',
+  ' leite inteiro'],
+ [' suco de frutas/legumes',
+  ' citrino',
+  ' sacolas de compras',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' manteiga',
+  ' queijo duro',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' iogurte'],
+ [' rolos/pãezinhos', ' bebidas', ' frango', ' leite inteiro'],
+ [' fruta semente',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' chocolate especial',
+  ' zwieback',
+  ' iogurte',
+  ' farinha',
+  ' iogurte',
+  ' legumes em conserva',
+  ' queijo duro',
+  ' massa',
+  ' pastelaria'],
+ [' vegetais congelados',
+  ' fruta semente',
+  ' salsicha',
+  ' massa',
+  ' bagas',
+  ' salsicha',
+  ' citrino',
+  ' frango',
+  ' fruta semente',
+  ' cosméticos masculinos',
+  ' fruta tropical',
+  ' queijo duro',
+  ' sacolas de compras',
+  ' queijo fatiado',
+  ' pratos'],
+ [' carne de hamburguer',
+  ' salsicha',
+  ' produtos finalizados',
+  ' Margarina',
+  ' outros vegetais',
+  ' Pipoca'],
+ [' vegetais de raiz',
+  ' geléia',
+  ' bebidas',
+  ' cerveja em lata',
+  ' carne',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' pão integral',
+  ' iogurte'],
+ [' vegetais congelados',
+  ' leite UHT',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' guardanapos',
+  ' Requeijão cremoso',
+  ' sobremesa',
+  ' outros vegetais'],
+ [' cerveja em lata',
+  ' fruta semente',
+  ' salsicha orgânica',
+  ' misc. bebidas',
+  ' iogurte',
+  ' iogurte',
+  ' farinha',
+  ' rolos/pãezinhos'],
+ [' jornais',
+  ' refrigerante',
+  ' frango',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' refrigerante',
+  ' bagas',
+  ' Queijo processado',
+  ' produtos de rolo',
+  ' refrigerante',
+  ' coalhada'],
+ [' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' salsicha',
+  ' sacolas de compras',
+  ' cereais',
+  ' carne de porco',
+  ' frango',
+  ' produto de panificação longa vida',
+  ' fruta semente',
+  ' doce',
+  ' gordura especial',
+  ' lanche salgado',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' vegetais de raiz',
+  ' guardanapos',
+  ' produtos de manutenção da casa'],
+ [' carne de hamburguer',
+  ' salsicha',
+  ' cerveja em lata',
+  ' bagas',
+  ' chocolate especial',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' pão integral',
+  ' pudim em pó',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' água engarrafada',
+  ' Queijo processado',
+  ' velas',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' refrigerante'],
+ [' cerveja em lata',
+  ' carne de hamburguer',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' sabão',
+  ' citrino',
+  ' iogurte',
+  ' fruta semente',
+  ' espalhar queijo',
+  ' chantilly/creme azedo',
+  ' doce'],
+ [' vegetais de raiz',
+  ' leite inteiro',
+  ' carne bovina',
+  ' fruta semente',
+  ' carne',
+  ' iogurte',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' licor (aperitivo)',
+  ' café',
+  ' jornais',
+  'waffles',
+  ' chantilly/creme azedo',
+  ' refrigerante',
+  ' suco de frutas/legumes'],
+ [' citrino',
+  ' presunto',
+  ' leite inteiro',
+  ' jornais',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' chocolate',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' guardanapos',
+  ' jornais',
+  ' suco de frutas/legumes'],
+ [' película aderente/sacos',
+  ' água engarrafada',
+  ' carne',
+  ' pão de fígado',
+  ' iogurte',
+  ' salsicha',
+  ' outros vegetais',
+  ' fruta semente',
+  ' carne bovina',
+  ' carne bovina',
+  ' bagas',
+  ' outros vegetais',
+  ' pão branco',
+  ' iogurte',
+  ' outros vegetais',
+  ' manteiga',
+  ' uvas',
+  ' bagas',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' pastelaria',
+  ' chantilly/creme azedo',
+  ' jornais'],
+ [' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' carne de porco',
+  ' chocolate especial',
+  ' carne bovina',
+  ' carne bovina',
+  ' peru',
+  ' citrino',
+  ' peru',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' iogurte',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' vegetais de raiz',
+  ' pão integral',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' uvas',
+  ' sacolas de compras',
+  ' iogurte',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' Leite condensado',
+  ' lanche salgado',
+  ' iogurte',
+  ' queijo fatiado',
+  ' água engarrafada',
+  ' cuidado dental'],
+ [' leite inteiro',
+  ' chocolate',
+  ' pastelaria',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' ervas',
+  ' refrigerante',
+  ' Produtos alimentares instantâneos',
+  ' chocolate',
+  ' refrigerante'],
+ [' frango',
+  ' pão branco',
+  ' salsicha',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' carne bovina',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' requeijão',
+  ' coalhada',
+  ' farinha',
+  ' refrigerante',
+  ' Produtos alimentares instantâneos'],
+ [' salsicha',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' massa',
+  ' iogurte',
+  ' prosecco',
+  ' fruta semente'],
+ [' barra de especialidade', ' carne', ' coalhada', ' chantilly/creme azedo'],
+ [' chantilly/creme azedo',
+  ' frango congelado',
+  ' refrigerante',
+  ' iogurte',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' sobremesa',
+  ' leite inteiro',
+  ' café',
+  ' Margarina'],
+ [' vegetais de raiz',
+  ' carne de porco',
+  ' salsicha',
+  ' produtos finalizados',
+  ' cerveja em lata',
+  ' carne de hamburguer',
+  ' iogurte',
+  ' outros vegetais',
+  ' lanche salgado',
+  ' fruta/legumes embalados',
+  ' chantilly/creme azedo',
+  ' coalhada',
+  ' pastas doces',
+  ' leite inteiro',
+  ' pão branco'],
+ [' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' pão de fígado',
+  ' massa',
+  ' cerveja em lata',
+  ' vegetais de raiz',
+  ' Requeijão cremoso',
+  ' suco de frutas/legumes',
+  ' uvas',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' Sementes de flores)',
+  ' suco de frutas/legumes'],
+ [' outros vegetais',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' vegetais congelados'],
+ [' citrino', ' peixe enlatado', ' presunto', ' sorvete'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' carne',
+  ' vasos de plantas',
+  ' iogurte',
+  'waffles',
+  ' barra de bolo',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' salsicha',
+  ' uvas',
+  ' presunto',
+  ' jornais',
+  ' chocolate especial',
+  ' manteiga',
+  ' pão integral',
+  ' zwieback',
+  ' vinho tinto/blush',
+  ' cerveja em lata',
+  ' ovos domésticos'],
+ [' café',
+  ' fruta tropical',
+  ' salsicha',
+  ' presunto',
+  ' vegetais de raiz',
+  ' citrino',
+  ' peru',
+  ' pastelaria',
+  ' massa',
+  ' refrigerante'],
+ [' presunto', ' cebola', ' ovos domésticos', ' jornais', ' jornais'],
+ [' cerveja em lata',
+  ' manteiga',
+  ' carne de hamburguer',
+  ' salsicha',
+  'waffles',
+  ' rolos/pãezinhos',
+  ' bebidas',
+  ' sobremesa',
+  ' manteiga',
+  ' salsicha',
+  ' leite inteiro',
+  ' jornais',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' coalhada',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' iogurte',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' nozes/ameixas',
+  ' coalhada',
+  ' chantilly/creme azedo',
+  ' cerveja em lata',
+  ' Leite condensado',
+  ' descalcificante',
+  ' pastas de carne',
+  ' café',
+  ' pão semi-acabado'],
+ [' cerveja em lata',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' pão semi-acabado',
+  ' carne de hamburguer',
+  ' Leite condensado',
+  ' queijo duro',
+  ' sorvete',
+  ' pastelaria',
+  ' pastelaria',
+  ' Produtos alimentares instantâneos'],
+ [' cerveja em lata',
+  ' chocolate especial',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' misc. bebidas',
+  ' cebola',
+  ' cerveja engarrafada',
+  ' citrino',
+  ' doce',
+  ' sobremesa',
+  ' outros vegetais',
+  ' barra de especialidade',
+  ' pão integral',
+  ' chocolate especial'],
+ [' fruta semente',
+  ' cerveja em lata',
+  ' fruta tropical',
+  ' salsicha',
+  ' carne de porco',
+  ' leite inteiro',
+  ' fruta semente',
+  ' presunto',
+  ' citrino',
+  ' amaciante',
+  ' bagas',
+  ' café instantâneo',
+  ' outros vegetais',
+  ' café',
+  ' leite inteiro',
+  ' uvas',
+  ' iogurte',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' limpador de prato',
+  ' chocolate',
+  ' outros vegetais',
+  ' água engarrafada'],
+ [' fruta semente',
+  ' carne de porco',
+  ' comida de gato',
+  ' vasos de plantas',
+  ' salsicha',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' lanche salgado',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' iogurte',
+  ' vegetais de raiz',
+  ' ketchup',
+  ' chocolate especial',
+  ' Requeijão cremoso'],
+ [' carne bovina',
+  ' suco de frutas/legumes',
+  ' carne de hamburguer',
+  ' especiarias'],
+ [' salsicha',
+  ' manteiga',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' fruta/legumes embalados',
+  ' chocolate especial',
+  ' frango',
+  ' goma de mascar',
+  ' peru',
+  ' goma de mascar',
+  ' Produtos alimentares instantâneos',
+  ' queijo especial',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' Pipoca',
+  ' Margarina',
+  ' Margarina',
+  ' sopas',
+  ' pão branco'],
+ [' frango congelado',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' vinho branco',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' chocolate especial'],
+ [' refrigerante',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' produtos sazonais',
+  ' clínica de cuidado de animais domésticos',
+  ' leite inteiro',
+  ' Margarina'],
+ [' fruta tropical',
+  ' salsicha',
+  ' fruta/legumes embalados',
+  ' vegetais enlatados',
+  ' outros vegetais',
+  ' salsicha',
+  ' massa',
+  ' pudim em pó',
+  ' massa',
+  ' coalhada',
+  ' iogurte',
+  ' sacolas de compras',
+  ' café',
+  ' pudim em pó'],
+ [' outros vegetais',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' álcool isopropílico',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' chocolate especial',
+  ' doce'],
+ [' carne bovina',
+  ' salsicha',
+  ' pão semi-acabado',
+  ' iogurte',
+  ' cebola',
+  ' salsicha',
+  ' água engarrafada',
+  ' licor',
+  ' outros vegetais',
+  ' manteiga',
+  ' pastelaria'],
+ [' carne',
+  ' presunto',
+  ' refrigerante',
+  ' salsicha',
+  ' salsicha',
+  ' salsicha',
+  ' fruta semente',
+  ' vinho tinto/blush',
+  ' carne',
+  ' rolos/pãezinhos',
+  ' leite UHT',
+  ' leite inteiro',
+  ' refrigerante',
+  ' ovos domésticos',
+  ' pastelaria',
+  ' outros vegetais',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' iogurte'],
+ [' carne',
+  ' citrino',
+  ' refrigerante',
+  ' salsicha',
+  ' salsicha',
+  ' salsicha',
+  ' refrigerante',
+  ' carne de hamburguer',
+  ' café',
+  ' lanche salgado',
+  ' óleo',
+  ' fruta/legumes embalados',
+  ' água engarrafada',
+  ' vegetais congelados',
+  ' iogurte'],
+ [' água engarrafada',
+  ' pão integral',
+  ' frango',
+  ' refrigerante',
+  ' salsicha',
+  ' bagas',
+  ' leite UHT',
+  ' fruta tropical',
+  ' sorvete',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' sacolas de compras',
+  ' bebidas',
+  ' vinho tinto/blush',
+  ' suco de frutas/legumes'],
+ [' rolos/pãezinhos',
+  ' carne bovina',
+  ' salsicha',
+  ' chocolate',
+  ' fruta tropical',
+  ' guardanapos',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' rum',
+  ' carne de porco',
+  ' fermento em pó',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' bebidas',
+  ' vegetais congelados',
+  ' pão integral'],
+ [' carne de porco',
+  ' salsicha',
+  ' água engarrafada',
+  ' manteiga',
+  ' Margarina',
+  ' iogurte'],
+ [' fruta semente',
+  ' sorvete',
+  ' cerveja em lata',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' salsicha',
+  ' leite inteiro',
+  ' carne',
+  ' fruta tropical',
+  ' refrigerante',
+  ' óleo',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' leite inteiro',
+  ' artigos de higiene',
+  ' fruta semente',
+  ' fermento em pó',
+  ' queijo especial',
+  ' pão integral',
+  ' sorvete',
+  ' vasos de plantas',
+  ' refrigerante'],
+ [' carne bovina', ' citrino', ' ervas', ' chantilly/creme azedo'],
+ [' carne bovina',
+  ' carne de porco',
+  ' produtos sazonais',
+  ' manteiga',
+  ' outros vegetais',
+  ' guardanapos',
+  ' óleo',
+  ' produtos sazonais',
+  ' refrigerante',
+  ' ovos domésticos',
+  ' licor (aperitivo)',
+  ' café',
+  ' utensílios de cozinha',
+  ' produto de panificação longa vida',
+  ' massa'],
+ [' rolos/pãezinhos',
+  ' salsicha',
+  ' salsicha',
+  ' carne de porco',
+  ' salsicha',
+  ' água engarrafada',
+  ' óleo',
+  ' mostarda',
+  ' misc. bebidas',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' cerveja engarrafada'],
+ [' citrino',
+  ' chantilly/creme azedo',
+  ' salsicha',
+  ' salsicha',
+  ' salsicha',
+  ' lanche salgado',
+  ' fruta tropical',
+  ' citrino',
+  'waffles',
+  ' outros vegetais',
+  ' pão integral',
+  ' outros vegetais',
+  ' farinha',
+  ' pão branco',
+  ' Refeições congeladas',
+  ' doce',
+  ' velas',
+  ' suco de frutas/legumes'],
+ [' carne',
+  ' iogurte',
+  ' artigos de higiene',
+  ' fruta semente',
+  ' fruta tropical',
+  ' coalhada',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' pão integral',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' jornais',
+  ' Requeijão cremoso',
+  ' massa'],
+ [' bebidas',
+  ' salsicha',
+  ' frango',
+  ' Soro de leite coalhado',
+  ' sobremesa',
+  ' produtos finalizados',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' flor solo/fertilizante',
+  ' legumes em conserva',
+  ' vegetais de raiz',
+  ' manteiga',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' suco de frutas/legumes',
+  ' Soro de leite coalhado',
+  ' produto de panificação longa vida',
+  ' pão branco'],
+ [' presunto',
+  ' salsicha',
+  ' carne',
+  ' carne',
+  ' iogurte',
+  ' marshmallow de chocolate',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' película aderente/sacos',
+  ' pão integral',
+  ' queijo macio'],
+ [' carne de hamburguer', ' fruta tropical', ' refrigerante', ' licor'],
+ [' carne bovina',
+  ' leite inteiro',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' peixe enlatado'],
+ [' carne bovina',
+  ' salsicha',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' iogurte',
+  ' frango',
+  ' iogurte',
+  ' jornais',
+  ' fruta semente',
+  ' molho de salada'],
+ [' vegetais de raiz',
+  ' jornais',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' produtos de batata congelada',
+  ' bagas',
+  ' pratos',
+  ' outros vegetais',
+  ' coalhada',
+  ' jornais',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' limpador de prato',
+  ' produtos de rolo',
+  ' produto de panificação longa vida'],
+ [' citrino',
+  ' carne de porco',
+  ' água engarrafada',
+  ' presunto',
+  ' cerveja em lata',
+  ' sobremesa congelada',
+  ' leite inteiro',
+  ' cebola'],
+ [' iogurte',
+  ' vegetais de raiz',
+  ' sacolas de compras',
+  ' presunto',
+  ' vinho branco',
+  ' ovos domésticos'],
+ [' fruta tropical',
+  ' fruta semente',
+  ' goma de mascar',
+  ' bagas',
+  ' carne de hamburguer',
+  ' manteiga',
+  ' leite inteiro',
+  ' doce',
+  ' outros vegetais',
+  ' café',
+  ' leite inteiro'],
+ [' salsicha',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' bagas',
+  ' barra de especialidade',
+  ' lanche salgado',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' artigos de higiene'],
+ [' sacolas de compras', ' iogurte'],
+ [' cerveja em lata',
+  ' cerveja engarrafada',
+  ' peixe',
+  ' citrino',
+  ' presunto',
+  ' produtos de batata congelada',
+  ' vegetais de raiz',
+  ' suco de frutas/legumes',
+  ' açúcar',
+  ' molhos'],
+ [' rolos/pãezinhos',
+  ' detergente',
+  ' bagas',
+  ' manteiga',
+  ' bagas',
+  ' carne bovina',
+  ' leite inteiro',
+  ' lanche salgado',
+  ' carne bovina',
+  ' jornais',
+  ' peixe congelado'],
+ [' outros vegetais',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' salsicha',
+  ' coalhada',
+  ' leite inteiro',
+  ' refrigerante',
+  ' pão branco',
+  ' fruta tropical',
+  ' leite UHT',
+  ' Soro de leite coalhado',
+  ' Margarina',
+  ' pão branco',
+  ' iogurte',
+  ' leite inteiro',
+  ' pão integral'],
+ [' carne de hamburguer',
+  ' sobremesa',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' pão integral',
+  ' iogurte',
+  ' bagas',
+  ' bebidas',
+  ' água engarrafada'],
+ [' carne de hamburguer',
+  ' bagas',
+  ' outros vegetais',
+  ' licor',
+  ' Requeijão cremoso',
+  ' leite inteiro',
+  ' artif. adoçante'],
+ [' cerveja engarrafada',
+  ' carne de hamburguer',
+  ' nozes/ameixas',
+  ' bebidas',
+  ' espalhar queijo',
+  ' Margarina',
+  ' massa'],
+ [' fruta tropical',
+  ' citrino',
+  ' pastelaria',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' carne de hamburguer',
+  ' jornais',
+  ' outros vegetais',
+  ' salsicha',
+  ' iogurte',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' licor',
+  ' Leite condensado',
+  ' café instantâneo',
+  ' iogurte',
+  ' ovos domésticos',
+  ' detergente',
+  ' farinha',
+  ' fruta tropical'],
+ [' refrigerante',
+  ' iogurte',
+  ' café',
+  ' produtos sanitários femininos',
+  ' citrino',
+  ' carne',
+  ' outros vegetais',
+  ' fruta semente',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' Pipoca',
+  ' produto de panificação longa vida',
+  ' produto de panificação longa vida'],
+ [' salsicha',
+  ' carne bovina',
+  ' vinho tinto/blush',
+  ' carne de hamburguer',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' sobremesa',
+  ' peixe congelado',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' rum'],
+ [' frango',
+  ' carne de porco',
+  ' Queijo processado',
+  ' carne bovina',
+  ' vinho branco',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' fruta/legumes embalados',
+  ' queijo fatiado',
+  ' bebidas'],
+ [' café',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' doce',
+  ' leite inteiro',
+  ' guardanapos',
+  ' sacolas de compras',
+  ' fruta semente',
+  ' cerveja engarrafada'],
+ [' Margarina',
+  ' ovos domésticos',
+  ' suco de frutas/legumes',
+  ' ovos domésticos'],
+ [' fruta tropical',
+  ' outros vegetais',
+  ' carne de porco',
+  ' pão de fígado',
+  ' citrino',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' frango',
+  ' produto de panificação longa vida',
+  ' Margarina',
+  ' pão branco',
+  ' espalhar queijo',
+  ' comida de gato'],
+ [' carne',
+  ' outros vegetais',
+  ' carne bovina',
+  ' sacolas de compras',
+  ' outros vegetais',
+  ' pão branco',
+  ' coalhada',
+  ' sacolas de compras'],
+ [' Requeijão cremoso',
+  ' pastelaria',
+  ' sobremesa',
+  ' carne',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' doce',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' cebola',
+  ' cozinhar chocolate',
+  ' sacolas de compras'],
+ [' jornais',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' leite inteiro',
+  ' fruta semente',
+  ' ovos domésticos',
+  ' chocolate',
+  ' água engarrafada'],
+ [' rolos/pãezinhos',
+  ' carne',
+  ' carne de hamburguer',
+  ' manteiga',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' fruta semente',
+  ' xarope',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' legumes em conserva',
+  ' artigos de higiene',
+  ' sacolas de compras',
+  ' iogurte',
+  ' leite inteiro',
+  ' artigos de higiene',
+  ' Margarina',
+  ' pão integral',
+  ' jornais'],
+ [' citrino',
+  ' vegetais enlatados',
+  ' cebola',
+  ' licor (aperitivo)',
+  ' fruta semente',
+  ' frango',
+  ' Margarina',
+  ' artigos de higiene',
+  ' rolos/pãezinhos',
+  ' pastas doces'],
+ [' leite inteiro',
+  ' bebidas',
+  ' refrigerante',
+  ' salsicha',
+  ' uvas',
+  ' leite UHT',
+  ' leite inteiro',
+  ' vegetais de raiz'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' cebola',
+  ' comida de cão',
+  ' Requeijão cremoso',
+  ' fruta semente',
+  ' café',
+  ' pastelaria'],
+ [' presunto',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' vinho tinto/blush',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' farinha',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' coalhada',
+  ' rolos/pãezinhos'],
+ [' salsicha',
+  ' conhaque',
+  ' cebola',
+  ' cerveja em lata',
+  ' peixe enlatado',
+  ' presunto',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' chocolate',
+  ' artif. adoçante'],
+ [' salsicha',
+  ' fruta semente',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' rum',
+  ' suco de frutas/legumes',
+  ' barra de especialidade'],
+ [' ovos domésticos',
+  ' carne de porco',
+  ' carne de hamburguer',
+  ' carne de porco',
+  ' bebidas',
+  ' pastelaria',
+  ' queijo macio',
+  ' carne de hamburguer',
+  ' chantilly/creme azedo',
+  ' carne bovina',
+  ' peixe congelado',
+  ' queijo duro',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' goma de mascar',
+  ' Soro de leite coalhado',
+  ' cerveja em lata',
+  ' óleo',
+  ' chocolate especial',
+  ' outros vegetais',
+  ' manteiga',
+  ' guardanapos'],
+ [' leite inteiro',
+  ' carne',
+  ' carne bovina',
+  ' iogurte',
+  ' iogurte',
+  ' fermento em pó',
+  ' iogurte'],
+ [' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' fruta/legumes embalados'],
+ [' leite inteiro',
+  ' produtos finalizados',
+  ' manteiga',
+  ' queijo macio',
+  ' licor',
+  ' sacolas de compras'],
+ [' coalhada',
+  ' carne de hamburguer',
+  ' Refeições congeladas',
+  ' fruta tropical',
+  ' queijo macio',
+  ' leite inteiro'],
+ [' água engarrafada',
+  ' açúcar',
+  ' foto/filme',
+  ' sobremesa',
+  ' vegetais congelados',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' Refeições congeladas',
+  ' rolos/pãezinhos',
+  ' produtos sazonais'],
+ [' carne bovina', ' fruta tropical', ' carne', ' Soro de leite coalhado'],
+ [' salsicha',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' carne bovina',
+  ' citrino',
+  ' salsicha',
+  ' vinho branco',
+  ' chá',
+  ' coalhada',
+  ' citrino',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' doce',
+  ' pratos',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' leite UHT',
+  ' fruta semente',
+  ' pão semi-acabado',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' leite inteiro',
+  ' produtos de batata',
+  ' artigos de higiene',
+  ' chocolate'],
+ [' frango',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' pastelaria',
+  ' água engarrafada',
+  ' Margarina'],
+ [' salsicha', ' refrigerante'],
+ [' carne de porco',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' fruta tropical',
+  ' salsicha',
+  ' vinagre',
+  ' leite inteiro',
+  ' sobremesa',
+  ' refrigerante',
+  ' sobremesa',
+  ' espalhar queijo',
+  ' jornais',
+  ' pão integral'],
+ [' iogurte',
+  ' citrino',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' ovos domésticos',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' barra de especialidade'],
+ [' leite inteiro',
+  ' rolos/pãezinhos',
+  ' presunto',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' leite inteiro',
+  ' manteiga',
+  ' coalhada',
+  ' legumes em conserva',
+  ' comida de cão',
+  ' pastelaria',
+  ' cerveja engarrafada'],
+ [' carne bovina',
+  ' salsicha',
+  ' bolsas',
+  ' pão de fígado',
+  ' citrino',
+  ' fruta tropical',
+  ' ovos domésticos',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' fruta semente'],
+ [' salsicha',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' vinho tinto/blush',
+  ' vegetais de raiz',
+  ' vegetais congelados',
+  ' bagas',
+  ' fermento em pó'],
+ [' pastelaria', ' carne de porco', ' carne de porco', ' outros vegetais'],
+ [' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' jornais',
+  ' pastelaria',
+  ' água engarrafada',
+  ' pão integral',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' lanche salgado',
+  ' pão integral',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' pastelaria',
+  ' Uísque'],
+ [' leite inteiro',
+  ' presunto',
+  ' frango',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' marshmallow de chocolate',
+  ' citrino',
+  ' pão integral',
+  ' refrigerante',
+  ' Refeições congeladas',
+  ' refrigerante'],
+ [' rolos/pãezinhos',
+  ' fruta semente',
+  ' fruta semente',
+  ' jornais',
+  ' carne de porco',
+  ' cebola',
+  ' leite inteiro',
+  ' misc. bebidas',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' jornais',
+  ' limpador abrasivo'],
+ [' produtos de manutenção da casa',
+  ' cebola',
+  ' frango',
+  ' pão integral',
+  ' misc. bebidas',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' guardanapos',
+  ' sacolas de compras',
+  ' pão branco',
+  ' jornais',
+  ' refrigerante',
+  ' refrigerante'],
+ [' iogurte',
+  ' carne de hamburguer',
+  ' salsicha',
+  ' iogurte',
+  ' barra de especialidade',
+  ' refrigerante',
+  ' iogurte',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' guardanapos',
+  ' jornais',
+  ' produto de panificação longa vida',
+  ' queijo duro',
+  ' jornais',
+  ' cuidado dental'],
+ [' fruta tropical',
+  ' goma de mascar',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' pastelaria',
+  ' refrigerante',
+  ' leite inteiro',
+  ' jornais',
+  ' manteiga',
+  ' refrigerante',
+  ' pastelaria',
+  ' sobremesa'],
+ [' fruta tropical',
+  ' cebola',
+  ' salsicha',
+  ' salsicha',
+  ' salsicha',
+  ' manteiga',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' leite UHT',
+  ' carne bovina',
+  ' óleo',
+  ' café',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' queijo fatiado',
+  ' sacolas de compras'],
+ [' coalhada',
+  ' citrino',
+  ' refrigerante',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos'],
+ [' carne bovina',
+  ' pratos',
+  ' leite inteiro',
+  ' carne de porco',
+  ' sobremesa',
+  ' vinho tinto/blush'],
+ [' leite inteiro',
+  ' pastelaria',
+  ' carne',
+  ' leite inteiro',
+  ' sobremesa',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' pastelaria',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' ovos domésticos'],
+ [' outros vegetais',
+  ' chocolate',
+  ' frango',
+  ' iogurte',
+  ' Margarina',
+  ' Soro de leite coalhado',
+  ' citrino',
+  ' leite UHT',
+  ' licor (aperitivo)',
+  ' licor',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' água engarrafada',
+  ' iogurte',
+  ' ovos domésticos',
+  ' queijo duro',
+  ' pão semi-acabado',
+  ' produtos de batata congelada'],
+ [' rolos/pãezinhos',
+  ' frango',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' pão branco',
+  ' café',
+  ' iogurte',
+  ' cebola',
+  ' água engarrafada',
+  ' café',
+  ' guardanapos',
+  ' leite UHT',
+  ' água engarrafada'],
+ [' salsicha',
+  ' cerveja engarrafada',
+  ' frango',
+  ' carne de hamburguer',
+  ' vegetais de raiz',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' Margarina',
+  ' sal',
+  ' iogurte',
+  ' outros vegetais',
+  ' vinho branco'],
+ [' água engarrafada',
+  ' café',
+  ' outros vegetais',
+  ' sobremesa',
+  ' leite UHT',
+  ' Margarina',
+  ' ovos domésticos',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' comida de cão'],
+ [' salsicha', ' presunto', ' cerveja em lata', ' outros vegetais'],
+ [' rolos/pãezinhos',
+  ' pão integral',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' Sementes de flores)',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' jornais',
+  ' Sementes de flores)'],
+ [' leite inteiro',
+  ' vegetais de raiz',
+  ' uvas',
+  ' legumes em conserva',
+  ' fruta semente',
+  ' pão branco',
+  ' leite inteiro',
+  ' refrigerante',
+  ' produto de panificação longa vida',
+  ' iogurte',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' café',
+  ' artigos de higiene'],
+ [' frango',
+  ' carne bovina',
+  ' carne bovina',
+  ' outros vegetais',
+  ' citrino',
+  ' iogurte',
+  ' fruta tropical',
+  ' jornais',
+  ' cerveja engarrafada',
+  ' leite inteiro'],
+ [' fruta tropical',
+  ' vegetais de raiz',
+  ' Refeições congeladas',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' pão integral',
+  ' queijo fatiado',
+  ' cuidado dental',
+  ' água engarrafada',
+  ' produtos sanitários femininos',
+  ' sacolas de compras',
+  ' queijo fatiado'],
+ [' salsicha',
+  ' leite inteiro',
+  ' mostarda',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' jornais'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' chantilly/creme azedo',
+  ' fruta tropical',
+  ' misc. bebidas',
+  ' pastelaria',
+  ' manteiga',
+  ' pastelaria',
+  ' sacolas de compras',
+  ' vinho tinto/blush',
+  ' guardanapos',
+  ' pão branco',
+  ' queijo duro'],
+ [' leite UHT',
+  ' leite UHT',
+  ' carne',
+  ' peixe congelado',
+  ' outros vegetais',
+  ' nozes/ameixas'],
+ [' rolos/pãezinhos',
+  ' carne bovina',
+  ' espumante',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' Soro de leite coalhado',
+  ' misc. bebidas',
+  ' vegetais de raiz',
+  ' conhaque',
+  ' peixe enlatado',
+  ' pastelaria',
+  ' suco de frutas/legumes'],
+ [' cerveja em lata',
+  ' leite inteiro',
+  ' peru',
+  ' vegetais de raiz',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' pão branco',
+  ' outros vegetais',
+  ' bagas',
+  ' ovos domésticos',
+  ' fruta tropical',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' goma de mascar',
+  ' jornais',
+  ' lanche salgado',
+  ' massa',
+  ' sacolas de compras'],
+ [' iogurte',
+  'waffles',
+  ' uvas',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' Soro de leite coalhado',
+  ' pudim em pó',
+  ' queijo duro',
+  ' pão branco',
+  ' comida de gato',
+  ' queijo duro'],
+ [' chantilly/creme azedo',
+  ' cerveja em lata',
+  ' salsicha',
+  ' chantilly/creme azedo',
+  ' carne',
+  ' carne bovina',
+  ' leite inteiro',
+  ' refrigerante',
+  ' pastelaria',
+  ' iogurte',
+  ' leite inteiro',
+  ' chocolate especial',
+  ' açúcar',
+  ' leite inteiro',
+  ' coalhada'],
+ [' rolos/pãezinhos',
+  ' salsicha',
+  ' outros vegetais',
+  ' fruta semente',
+  ' iogurte',
+  ' salsicha',
+  ' fruta semente',
+  ' chocolate especial',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' licor',
+  ' ervas',
+  ' Soro de leite coalhado',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' cosméticos masculinos',
+  ' fruta/legumes embalados'],
+ [' rolos/pãezinhos',
+  ' fruta tropical',
+  ' pastelaria',
+  ' iogurte',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' leite inteiro',
+  ' massa'],
+ [' bebidas',
+  ' frango',
+  ' presunto',
+  ' rolos/pãezinhos',
+  ' cerveja em lata',
+  ' jornais',
+  ' óleo',
+  ' açúcar',
+  ' chocolate',
+  ' fruta tropical',
+  ' fruta/legumes embalados',
+  ' pão branco',
+  ' queijo duro',
+  ' doce',
+  ' Pipoca'],
+ [' rolos/pãezinhos',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' frango',
+  ' outros vegetais',
+  ' fruta semente',
+  ' uvas',
+  ' produtos de rolo',
+  ' coalhada',
+  ' cerveja engarrafada',
+  ' café instantâneo',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' açúcar',
+  ' rolos/pãezinhos',
+  ' vegetais enlatados',
+  ' pastelaria',
+  ' sacolas de compras'],
+ [' rolos/pãezinhos',
+  ' manteiga',
+  ' cerveja em lata',
+  ' jornais',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' ervas',
+  ' detergente',
+  ' fermento em pó',
+  ' outros vegetais',
+  ' Margarina',
+  ' rolos/pãezinhos',
+  ' lanche salgado'],
+ [' cerveja engarrafada',
+  ' frango',
+  ' leite inteiro',
+  ' salsicha',
+  ' outros vegetais',
+  ' fruta tropical',
+  'waffles',
+  ' leite inteiro',
+  ' sal',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' Queijo processado'],
+ [' pastelaria',
+  ' Queijo processado',
+  ' vegetais de raiz',
+  ' citrino',
+  ' Leite condensado',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' Produtos alimentares instantâneos',
+  ' outros vegetais',
+  ' queijo duro',
+  ' peixe enlatado',
+  ' Soro de leite coalhado',
+  ' maionese'],
+ [' carne bovina',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' citrino',
+  ' citrino',
+  ' barra de bolo',
+  ' leite inteiro',
+  ' doce'],
+ [' espalhar queijo',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' carne de porco',
+  ' café instantâneo',
+  ' pão integral'],
+ [' fruta tropical',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' marshmallow de chocolate',
+  ' suco de frutas/legumes',
+  ' peixe enlatado'],
+ [' fruta/legumes embalados',
+  ' clínica de cuidado de animais domésticos',
+  ' cerveja em lata',
+  ' manteiga',
+  ' carne de hamburguer',
+  ' cerveja em lata',
+  ' espalhar queijo',
+  ' Soro de leite coalhado',
+  ' citrino',
+  ' pastelaria',
+  ' pão integral'],
+ [' leite inteiro',
+  ' carne',
+  ' outros vegetais',
+  ' citrino',
+  ' carne bovina',
+  ' leite inteiro',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' óleo'],
+ [' carne',
+  ' salsicha',
+  ' salsicha',
+  ' leite inteiro',
+  ' espalhar queijo',
+  ' cebola',
+  ' refrigerante',
+  ' leite inteiro',
+  ' Leite condensado',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' barra de especialidade',
+  ' refrigerante',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' pastelaria',
+  ' café',
+  ' coalhada',
+  ' fruta semente',
+  ' água engarrafada',
+  ' iogurte',
+  ' comida de gato'],
+ [' cebola',
+  ' outros vegetais',
+  ' fruta semente',
+  ' carne de porco',
+  ' comida de cão',
+  ' sobremesa',
+  ' queijo duro'],
+ [' salsicha',
+  ' chantilly/creme azedo',
+  ' vasos de plantas',
+  ' frango',
+  ' película aderente/sacos',
+  ' refrigerante',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' café',
+  ' chocolate especial',
+  ' ovos domésticos',
+  ' vinho tinto/blush',
+  ' barra de especialidade',
+  ' óleo',
+  ' requeijão',
+  ' rolos/pãezinhos',
+  ' queijo duro',
+  ' chocolate especial',
+  ' farinha',
+  ' leite UHT',
+  ' ovos domésticos'],
+ [' carne bovina',
+  ' peru',
+  ' fruta tropical',
+  ' massa',
+  ' goma de mascar',
+  ' café'],
+ [' carne bovina',
+  ' chocolate',
+  ' queijo fatiado',
+  ' frango',
+  ' leite inteiro',
+  ' fruta semente',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' óleo',
+  ' chocolate',
+  ' queijo macio',
+  ' água engarrafada',
+  ' pão integral',
+  ' pastelaria',
+  ' sal'],
+ [' salsicha',
+  ' fruta semente',
+  ' pão branco',
+  ' sacolas de compras',
+  ' legumes em conserva',
+  ' rolos/pãezinhos'],
+ [' frango',
+  ' salsicha',
+  ' fruta semente',
+  ' ovos domésticos',
+  ' iogurte',
+  ' iogurte',
+  ' vegetais congelados',
+  ' outros vegetais',
+  ' carne de hamburguer',
+  ' leite UHT',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' fruta tropical',
+  ' Refeições congeladas',
+  ' sacolas de compras',
+  ' pão semi-acabado',
+  ' frango',
+  ' carne de porco',
+  ' carne bovina',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' chocolate'],
+ [' salsicha',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' citrino',
+  ' jornais',
+  ' jornais',
+  ' manteiga',
+  ' cuidado dental'],
+ [' salsicha',
+  ' espalhar queijo',
+  ' jornais',
+  ' fruta semente',
+  ' sobremesa',
+  ' lanche salgado',
+  ' pratos',
+  ' espalhar queijo',
+  ' misc. bebidas',
+  ' refrigerante',
+  ' ovos domésticos'],
+ [' carne bovina',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' água engarrafada',
+  ' pão branco',
+  ' pastelaria',
+  ' vasos de plantas',
+  ' leite inteiro',
+  ' produtos orgânicos'],
+ [' fruta tropical',
+  ' carne bovina',
+  ' citrino',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' Margarina',
+  ' vegetais de raiz',
+  ' suco de frutas/legumes',
+  ' fruta/legumes embalados',
+  ' café',
+  ' Margarina'],
+ [' iogurte',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' frango',
+  ' Leite condensado',
+  ' sobremesa',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' pão branco',
+  ' suco de frutas/legumes',
+  ' queijo duro',
+  ' vegetais congelados',
+  ' comida de gato'],
+ [' salsicha',
+  ' chocolate especial',
+  ' salsicha orgânica',
+  ' leite inteiro',
+  ' guardanapos',
+  ' carne de hamburguer',
+  ' água engarrafada',
+  ' queijo especial',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' goma de mascar',
+  ' citrino',
+  ' refrigerante',
+  ' jornais'],
+ [' uvas',
+  ' iogurte',
+  ' outros vegetais',
+  ' Margarina',
+  ' iogurte',
+  ' queijo macio'],
+ [' bebidas',
+  ' bebidas',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' bebidas',
+  ' rolos/pãezinhos',
+  ' requeijão',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' lanche salgado',
+  ' pão branco'],
+ [' coalhada',
+  ' carne',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' carne',
+  ' carne de hamburguer',
+  ' foto/filme',
+  ' foto/filme',
+  ' leite inteiro',
+  ' queijo macio',
+  ' outros vegetais',
+  ' refrigerante',
+  ' peixe congelado',
+  ' pão branco'],
+ [' salsicha',
+  ' fruta tropical',
+  ' iogurte',
+  ' sobremesa',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' coalhada',
+  ' carne bovina',
+  ' rolos/pãezinhos',
+  ' sorvete',
+  ' cuidado dental',
+  ' pastelaria',
+  ' requeijão',
+  ' refrigerante',
+  ' zwieback',
+  ' água engarrafada'],
+ [' outros vegetais',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' pão semi-acabado',
+  'waffles',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' creme',
+  ' outros vegetais',
+  ' manteiga',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' suco de frutas/legumes'],
+ [' sobremesa',
+  ' jornais',
+  ' citrino',
+  ' outros vegetais',
+  ' sacolas de compras'],
+ [' cerveja em lata',
+  ' pastas doces',
+  ' cebola',
+  ' leite inteiro',
+  ' pratos',
+  ' leite inteiro',
+  ' bagas',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' iogurte',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' outros vegetais',
+  ' jornais',
+  ' espalhar queijo',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' açúcar',
+  ' chocolate especial',
+  ' farinha',
+  ' limpador de prato',
+  ' amaciante',
+  ' água engarrafada',
+  ' licor',
+  ' sacolas de compras'],
+ [' café',
+  ' salsicha',
+  ' iogurte',
+  ' goma de mascar',
+  ' pão integral',
+  ' pratos',
+  ' chocolate especial',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' sobremesa congelada',
+  ' iogurte',
+  ' vegetais congelados',
+  ' barra de especialidade'],
+ [' bagas',
+  ' cerveja em lata',
+  ' sobremesa',
+  ' clínica de cuidado de animais domésticos',
+  ' vegetais congelados',
+  ' chantilly/creme azedo',
+  ' fruta semente',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' pão branco',
+  ' Margarina'],
+ [' carne de porco',
+  ' fruta tropical',
+  ' coalhada',
+  ' salsicha',
+  ' iogurte',
+  ' carne de hamburguer',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' iogurte',
+  ' carne de hamburguer',
+  ' Pipoca',
+  ' Pipoca',
+  ' jornais'],
+ [' salsicha',
+  ' salsicha',
+  ' produtos sanitários femininos',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' limpador',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' café',
+  ' molhos',
+  ' vegetais especiais'],
+ [' salsicha',
+  ' outros vegetais',
+  ' leite UHT',
+  ' leite inteiro',
+  ' doce',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' gordura especial',
+  ' pratos'],
+ [' sobremesa congelada',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' fruta tropical',
+  ' clínica de cuidado de animais domésticos',
+  ' ovos domésticos',
+  ' refrigerante',
+  ' pastelaria',
+  ' óleo'],
+ [' frango',
+  ' carne bovina',
+  ' vegetais de raiz',
+  ' barra de especialidade',
+  ' rolos/pãezinhos',
+  ' limpador abrasivo',
+  ' produtos de batata congelada',
+  ' manteiga',
+  ' ovos domésticos',
+  ' lanche salgado',
+  ' jornais'],
+ [' vinagre',
+  ' leite inteiro',
+  ' frango',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' pão integral',
+  ' chantilly/creme azedo',
+  ' vinho branco',
+  ' artigos de higiene'],
+ [' leite inteiro',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' vegetais de raiz',
+  ' Soro de leite coalhado',
+  ' guardanapos'],
+ [' carne de porco',
+  ' detergente',
+  ' sobremesa',
+  ' outros vegetais',
+  ' vinho branco',
+  ' outros vegetais',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' vasos de plantas',
+  ' refrigerante',
+  ' leite inteiro',
+  ' café',
+  ' água engarrafada',
+  ' açúcar',
+  ' ovos domésticos',
+  ' requeijão'],
+ [' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' legumes em conserva',
+  ' queijo duro',
+  ' sobremesa',
+  ' sacolas de compras',
+  ' legumes em conserva'],
+ [' uvas',
+  ' bagas',
+  ' fruta semente',
+  ' ovos domésticos',
+  ' fruta semente',
+  ' pastelaria',
+  ' frango',
+  ' peixe enlatado',
+  ' bebidas',
+  ' lanche salgado',
+  ' Soro de leite coalhado',
+  ' cerveja engarrafada',
+  ' zwieback',
+  ' ervas'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' sobremesa',
+  ' cerveja engarrafada',
+  ' manteiga',
+  ' outros vegetais',
+  ' iogurte',
+  ' leite inteiro',
+  ' açúcar',
+  ' doce',
+  ' água engarrafada',
+  'waffles'],
+ [' produtos finalizados', ' vegetais de raiz'],
+ [' fruta tropical',
+  ' outros vegetais',
+  ' carne de porco',
+  ' cerveja em lata',
+  ' artif. adoçante',
+  ' leite inteiro',
+  ' iogurte',
+  ' fruta semente',
+  ' bebidas',
+  ' bagas',
+  ' coalhada',
+  ' refrigerante',
+  ' água engarrafada'],
+ [' outros vegetais',
+  ' carne de hamburguer',
+  ' cebola',
+  ' pão semi-acabado',
+  ' Soro de leite coalhado',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' pastelaria'],
+ [' presunto',
+  ' óleo',
+  ' vinho branco',
+  ' bebidas',
+  ' pastelaria',
+  ' citrino',
+  ' carne',
+  ' citrino',
+  ' queijo duro',
+  ' fruta tropical',
+  ' café',
+  'sopas prontas',
+  ' artigos de higiene',
+  ' peixe enlatado',
+  ' refrigerante'],
+ [' outros vegetais', ' outros vegetais'],
+ [' coalhada',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' manteiga',
+  ' citrino',
+  ' pão integral',
+  ' carne de porco',
+  ' cuidado dental',
+  'waffles',
+  ' farinha'],
+ [' salsicha',
+  ' salsicha',
+  ' refrigerante',
+  ' foto/filme',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' Uísque',
+  ' produtos de batata congelada',
+  ' mostarda',
+  ' requeijão'],
+ [' cerveja em lata',
+  ' açúcar',
+  ' frango',
+  ' salsicha',
+  ' carne de porco',
+  ' coalhada',
+  ' cebola',
+  ' suco de frutas/legumes',
+  ' iogurte',
+  ' refrigerante',
+  ' cerveja engarrafada',
+  ' uvas',
+  ' rolos/pãezinhos',
+  ' coalhada',
+  ' Margarina',
+  ' sacolas de compras'],
+ [' fruta/legumes embalados',
+  ' iogurte',
+  ' salsicha',
+  ' leite inteiro',
+  ' goma de mascar',
+  ' Leite condensado',
+  ' pão integral',
+  ' espalhar queijo',
+  ' lâmpadas',
+  ' fruta semente',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' Leite condensado',
+  'waffles',
+  ' citrino',
+  ' suco de frutas/legumes',
+  ' massa',
+  ' água engarrafada',
+  ' coalhada'],
+ [' carne',
+  ' carne de porco',
+  ' pastelaria',
+  ' bagas',
+  ' jornais',
+  ' ervas',
+  ' chantilly/creme azedo',
+  'waffles',
+  ' cerveja engarrafada',
+  ' zwieback',
+  ' guardanapos'],
+ [' leite inteiro',
+  ' fermento em pó',
+  ' água engarrafada',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' iogurte',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' comida de gato',
+  ' lanche salgado',
+  ' rolos/pãezinhos',
+  ' ovos domésticos'],
+ [' cerveja em lata',
+  ' citrino',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' café',
+  ' fruta tropical',
+  ' refrigerante',
+  ' iogurte',
+  ' sorvete',
+  ' queijo duro',
+  ' açúcar',
+  ' Margarina'],
+ [' frango',
+  ' leite inteiro',
+  ' chocolate especial',
+  ' suco de frutas/legumes'],
+ [' rolos/pãezinhos',
+  ' espumante',
+  ' frango',
+  ' Soro de leite coalhado',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' jornais',
+  ' jornais',
+  ' chantilly/creme azedo',
+  ' iogurte'],
+ [' clínica de cuidado de animais domésticos',
+  ' pão integral',
+  ' outros vegetais',
+  ' fruta semente',
+  ' refrigerante',
+  ' carne de porco',
+  ' leite UHT',
+  ' carne bovina',
+  ' outros vegetais',
+  ' pão integral',
+  ' carne de porco',
+  ' vinho tinto/blush',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' iogurte',
+  ' pão branco',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' película aderente/sacos',
+  ' legumes em conserva',
+  ' pão integral',
+  ' pastelaria'],
+ [' vegetais de raiz',
+  ' leite inteiro',
+  ' fruta semente',
+  ' fruta semente',
+  ' fruta semente',
+  ' citrino',
+  ' vegetais de raiz',
+  ' conhaque',
+  ' vasos de plantas',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos'],
+ [' pastelaria',
+  ' vegetais de raiz',
+  ' carne',
+  ' cerveja em lata',
+  ' vinho tinto/blush',
+  ' sobremesa',
+  ' queijo fatiado',
+  ' goma de mascar'],
+ [' salsicha',
+  ' cebola',
+  ' chantilly/creme azedo',
+  ' uvas',
+  'waffles',
+  ' café',
+  'waffles',
+  ' iogurte',
+  ' espalhar queijo',
+  ' pratos',
+  ' ovos domésticos',
+  ' óleo'],
+ [' frango',
+  ' carne de porco',
+  ' refrigerante',
+  ' salsicha',
+  ' outros vegetais',
+  ' cerveja em lata',
+  ' carne',
+  ' leite inteiro',
+  ' açúcar',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' chocolate especial',
+  ' pão branco',
+  ' outros vegetais',
+  ' pão semi-acabado',
+  ' fruta tropical',
+  ' sopas',
+  ' outros vegetais',
+  ' manteiga',
+  ' manteiga',
+  ' sacolas de compras',
+  ' barra de especialidade',
+  ' sacolas de compras',
+  ' Requeijão cremoso',
+  ' café instantâneo'],
+ [' sobremesa congelada',
+  ' leite inteiro',
+  ' produtos sazonais',
+  ' sobremesa',
+  ' vegetais de raiz',
+  ' citrino',
+  ' vegetais de raiz',
+  ' citrino',
+  ' artigos de higiene',
+  ' pratos',
+  ' coalhada',
+  ' frutas congeladas',
+  ' jornais',
+  ' pastelaria',
+  ' sacolas de compras',
+  'waffles',
+  ' doce'],
+ [' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' cebola',
+  ' outros vegetais',
+  ' produto de panificação longa vida',
+  ' jornais',
+  ' queijo fatiado',
+  ' comida de gato',
+  ' cereais',
+  ' iogurte',
+  ' produto de panificação longa vida',
+  ' vinho branco'],
+ [' vegetais de raiz',
+  'waffles',
+  ' carne de porco',
+  ' cebola',
+  ' frango',
+  ' pão integral',
+  ' vegetais congelados',
+  ' leite inteiro',
+  ' lanche salgado',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' lanche de nozes',
+  ' ketchup',
+  ' outros vegetais',
+  ' queijo duro',
+  ' refrigerante',
+  ' guardanapos'],
+ [' vegetais de raiz',
+  ' ovos domésticos',
+  'waffles',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' café',
+  ' sacolas de compras',
+  ' água engarrafada',
+  ' água engarrafada'],
+ [' salsicha',
+  ' espalhar queijo',
+  ' salsicha',
+  ' refrigerante',
+  ' cerveja em lata',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' iogurte',
+  ' vegetais congelados',
+  ' refrigerante',
+  ' leite inteiro',
+  ' iogurte',
+  ' comida de cão',
+  ' cerveja em lata',
+  ' vegetais congelados'],
+ [' bagas', ' outros vegetais'],
+ [' carne de hamburguer',
+  ' salsicha',
+  ' artigos de higiene',
+  ' bebidas',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' sobremesa',
+  ' vegetais enlatados',
+  ' refrigerante',
+  ' vinho branco'],
+ [' fruta tropical',
+  ' uvas',
+  ' sobremesa',
+  ' refrigerante',
+  ' peru',
+  ' café',
+  ' cebola',
+  ' Leite condensado',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' Fruta enlatada',
+  ' sacolas de compras',
+  ' pão branco',
+  ' queijo macio',
+  ' sacolas de compras',
+  ' Queijo processado',
+  ' refrigerante',
+  ' sacolas de compras'],
+ [' salsicha',
+  'waffles',
+  ' carne de hamburguer',
+  ' pastelaria',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' massa',
+  ' refrigerante',
+  ' comida de gato',
+  ' doce',
+  ' refrigerante',
+  ' queijo duro'],
+ [' salsicha',
+  ' sobremesa congelada',
+  ' coalhada',
+  ' rolos/pãezinhos',
+  ' vinho branco',
+  ' pastelaria',
+  ' manteiga',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' produto de panificação longa vida'],
+ [' refrigerante',
+  ' salsicha',
+  ' pão integral',
+  ' jornais',
+  ' citrino',
+  ' fruta tropical',
+  ' ovos domésticos',
+  ' coalhada',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' vegetais congelados'],
+ [' sorvete', ' fruta tropical', ' outros vegetais', ' cerveja em lata'],
+ [' carne bovina',
+  ' Margarina',
+  ' fruta semente',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' cerveja engarrafada'],
+ [' leite inteiro',
+  ' bagas',
+  ' outros vegetais',
+  ' carne de porco',
+  ' citrino',
+  ' pastelaria',
+  ' chantilly/creme azedo',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' fermento em pó',
+  ' clínica de cuidado de animais domésticos',
+  ' barra de especialidade',
+  ' Margarina'],
+ [' carne de porco',
+  ' manteiga',
+  ' citrino',
+  ' pão integral',
+  ' carne de porco',
+  ' carne',
+  ' fruta semente',
+  ' sobremesa',
+  ' citrino',
+  ' carne de porco',
+  ' sacolas de compras',
+  ' artigos de higiene',
+  ' sobremesa',
+  ' leite inteiro',
+  ' produto de panificação longa vida',
+  ' pão branco',
+  ' sacolas de compras',
+  ' café',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' guardanapos'],
+ [' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' citrino',
+  ' carne de porco',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' citrino',
+  ' limpador de prato',
+  ' vinho tinto/blush',
+  ' jornais',
+  ' pastelaria',
+  ' Margarina'],
+ [' carne de porco',
+  ' carne bovina',
+  ' salsicha',
+  ' fruta semente',
+  ' chantilly/creme azedo',
+  ' cerveja em lata',
+  ' açúcar',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' farinha',
+  ' outros vegetais',
+  ' doce',
+  ' vegetais congelados',
+  ' outros vegetais',
+  ' farinha',
+  ' limpador de prato',
+  ' queijo duro',
+  'waffles'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' chocolate',
+  ' jornais',
+  ' fruta tropical',
+  ' coalhada',
+  ' leite inteiro',
+  ' rolos/pãezinhos'],
+ [' cerveja em lata', ' comida de cão', ' nozes/ameixas', ' coalhada'],
+ [' citrino',
+  ' ervas',
+  ' frango',
+  ' rolos/pãezinhos',
+  ' peru',
+  ' produtos sanitários femininos',
+  ' coalhada',
+  ' fruta semente',
+  ' pastelaria',
+  ' água engarrafada',
+  ' Refeições congeladas'],
+ [' fruta semente',
+  ' leite UHT',
+  ' cerveja engarrafada',
+  ' vegetais de raiz',
+  ' carne bovina',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' vegetais congelados',
+  ' bagas',
+  ' sacolas de compras',
+  ' barra de especialidade',
+  ' vegetais enlatados',
+  ' conhaque'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' leite inteiro',
+  ' artigos de higiene',
+  ' bagas',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' legumes em conserva',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' peixe enlatado',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' Requeijão cremoso',
+  ' queijo fatiado',
+  ' suco de frutas/legumes'],
+ [' fruta tropical',
+  ' legumes em conserva',
+  ' citrino',
+  ' refrigerante',
+  ' fruta tropical',
+  ' goma de mascar',
+  ' carne bovina',
+  ' iogurte',
+  ' café'],
+ [' carne bovina',
+  ' fruta semente',
+  ' Soro de leite coalhado',
+  ' fruta tropical',
+  ' presunto',
+  ' refrigerante',
+  ' pão integral',
+  ' vegetais de raiz',
+  ' vegetais congelados',
+  ' leite UHT',
+  ' chantilly/creme azedo',
+  ' manteiga',
+  ' citrino',
+  ' água engarrafada'],
+ [' frango',
+  ' Refeições congeladas',
+  ' comida de gato',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' sobremesa',
+  ' limpador de prato'],
+ [' citrino',
+  ' fruta semente',
+  ' vinho branco',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' jornais',
+  ' farinha',
+  ' guardanapos',
+  ' comida de gato',
+  ' jornais'],
+ [' carne',
+  ' refrigerante',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' carne bovina',
+  ' produtos de manutenção da casa',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' coalhada',
+  ' farinha',
+  ' queijo fatiado',
+  ' iogurte',
+  ' doce'],
+ [' citrino', ' salsicha', ' carne de hamburguer', ' leite inteiro'],
+ [' barra de especialidade',
+  ' vegetais de raiz',
+  ' pastelaria',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' outros vegetais',
+  ' sorvete',
+  ' produto de panificação longa vida'],
+ [' citrino',
+  ' salsicha',
+  ' Soro de leite coalhado',
+  ' guardanapos',
+  ' carne',
+  ' uvas',
+  ' sobremesa',
+  ' chantilly/creme azedo',
+  ' refrigerante',
+  ' Queijo processado',
+  ' cerveja engarrafada',
+  ' pratos'],
+ [' salsicha',
+  ' pastelaria',
+  ' iogurte',
+  ' leite inteiro',
+  ' guardanapos',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' ovos domésticos'],
+ [' citrino',
+  ' fruta semente',
+  ' salsicha',
+  ' Refeições congeladas',
+  ' utensílios de cozinha',
+  ' citrino',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' misc. bebidas',
+  ' cerveja engarrafada'],
+ [' peru',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' pastelaria',
+  ' citrino',
+  ' cebola',
+  ' gordura especial',
+  ' pão integral',
+  ' água engarrafada',
+  ' guardanapos',
+  ' fruta tropical',
+  ' produto de panificação longa vida'],
+ [' salsicha',
+  ' leite UHT',
+  ' salsicha',
+  ' queijo especial',
+  ' outros vegetais',
+  ' sobremesa',
+  ' sobremesa',
+  ' sal',
+  ' clínica de cuidado de animais domésticos',
+  ' pão integral',
+  ' Margarina',
+  ' refrigerante',
+  ' Margarina',
+  ' maionese',
+  ' chantilly/creme azedo',
+  ' chocolate'],
+ [' leite inteiro',
+  ' fruta semente',
+  ' chantilly/creme azedo',
+  ' peru',
+  ' iogurte',
+  ' carne bovina',
+  ' café',
+  ' vegetais congelados',
+  ' vegetais de raiz',
+  ' coalhada',
+  ' outros vegetais',
+  ' chocolate',
+  ' ervas',
+  ' bagas',
+  ' suco de frutas/legumes'],
+ [' iogurte',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' citrino',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' rolos/pãezinhos'],
+ [' iogurte',
+  ' refrigerante',
+  ' leite inteiro',
+  ' iogurte',
+  ' vinho tinto/blush',
+  ' água engarrafada'],
+ [' água engarrafada',
+  ' Soro de leite coalhado',
+  ' fruta tropical',
+  ' bagas',
+  ' bagas',
+  ' outros vegetais',
+  ' pão semi-acabado',
+  ' ervas',
+  ' chantilly/creme azedo',
+  ' outros vegetais',
+  ' cebola',
+  ' iogurte',
+  ' detergente',
+  ' jornais',
+  ' toalhas de cozinha',
+  ' guardanapos'],
+ [' bagas',
+  ' citrino',
+  ' salsicha',
+  ' salsicha',
+  ' queijo fatiado',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' goma de mascar',
+  ' citrino',
+  ' outros vegetais',
+  ' pratos'],
+ [' fruta/legumes embalados',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' sobremesa congelada',
+  ' fruta tropical',
+  ' comida de cão',
+  ' carne de hamburguer',
+  ' vasos de plantas',
+  ' refrigerante',
+  ' lanches'],
+ [' nozes/ameixas',
+  ' carne de porco',
+  ' leite inteiro',
+  ' cebola',
+  ' pão integral',
+  ' leite inteiro'],
+ [' citrino',
+  ' Requeijão cremoso',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' gordura especial',
+  ' vinho tinto/blush'],
+ [' carne bovina', ' cebola'],
+ [' leite inteiro',
+  ' molhos',
+  ' vasos de plantas',
+  ' salsicha',
+  ' salsicha',
+  ' carne bovina',
+  ' fruta tropical',
+  ' ovos domésticos',
+  ' uvas',
+  ' pão integral',
+  ' detergente',
+  ' bebidas de cacau'],
+ [' outros vegetais',
+  ' fruta tropical',
+  ' produtos sazonais',
+  ' leite inteiro',
+  ' citrino',
+  ' pão integral',
+  ' legumes em conserva',
+  ' pastelaria',
+  ' leite inteiro',
+  ' comida de cão'],
+ [' carne bovina',
+  ' frango',
+  ' artigos de higiene',
+  ' citrino',
+  ' sorvete',
+  ' Soro de leite coalhado',
+  ' água engarrafada',
+  ' suco de frutas/legumes',
+  ' doce'],
+ [' peixe',
+  ' carne',
+  ' bebidas',
+  ' carne bovina',
+  ' uvas',
+  ' carne',
+  ' jornais',
+  ' doce',
+  ' cerveja em lata',
+  ' marshmallow de chocolate',
+  ' pratos'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' outros vegetais',
+  ' presunto',
+  ' leite inteiro',
+  ' uvas',
+  ' outros vegetais',
+  ' sobremesa',
+  ' leite inteiro'],
+ [' café',
+  ' frango',
+  ' citrino',
+  ' bebidas',
+  ' Fruta enlatada',
+  ' refrigerante',
+  ' café',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' salsicha',
+  ' frango',
+  ' cerveja engarrafada',
+  ' fruta semente',
+  ' pão branco',
+  ' sobremesa',
+  ' rolos/pãezinhos',
+  ' óleo',
+  ' água engarrafada',
+  ' pastelaria',
+  ' artigos de higiene',
+  ' água engarrafada',
+  ' jornais',
+  ' pão branco'],
+ [' salsicha',
+  ' peru',
+  ' cerveja em lata',
+  ' peixe',
+  ' leite inteiro',
+  ' sacolas de compras',
+  ' iogurte',
+  ' cerveja em lata'],
+ [' carne',
+  ' presunto',
+  ' vegetais congelados',
+  ' salsicha',
+  ' artigos de higiene',
+  ' presunto',
+  ' barra de bolo',
+  ' iogurte',
+  ' açúcar',
+  ' água engarrafada',
+  ' Margarina',
+  ' leite inteiro',
+  ' jornais',
+  ' pão semi-acabado'],
+ [' frango',
+  ' cerveja engarrafada',
+  ' pão integral',
+  ' frango',
+  ' rolos/pãezinhos',
+  ' uvas',
+  ' fruta tropical',
+  ' pastelaria',
+  ' pastelaria',
+  ' pão integral',
+  ' pastelaria',
+  ' Queijo processado'],
+ [' bagas',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' produto de panificação longa vida',
+  ' outros vegetais',
+  ' produto de panificação longa vida',
+  ' queijo fatiado',
+  ' Soro de leite coalhado'],
+ [' Refeições congeladas',
+  ' leite inteiro',
+  ' bebidas',
+  ' óleo',
+  ' outros vegetais',
+  ' frutas congeladas',
+  ' suco de frutas/legumes',
+  ' produtos de batata congelada',
+  ' refrigerante',
+  ' pão integral',
+  ' manteiga',
+  ' cosméticos masculinos'],
+ [' chantilly/creme azedo', ' vegetais de raiz'],
+ [' carne bovina',
+  ' queijo especial',
+  ' fruta semente',
+  ' sobremesa',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' misc. bebidas',
+  ' Soro de leite coalhado',
+  ' vinho tinto/blush',
+  ' iogurte'],
+ [' frango',
+  ' carne de porco',
+  ' sacolas de compras',
+  ' manteiga',
+  ' sorvete',
+  ' chantilly/creme azedo',
+  ' iogurte'],
+ [' carne bovina',
+  ' salsicha',
+  ' leite inteiro',
+  ' carne bovina',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' fruta semente',
+  ' pastelaria',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' ketchup',
+  ' pastelaria',
+  ' pão semi-acabado'],
+ [' fruta/legumes embalados',
+  ' vegetais congelados',
+  ' leite inteiro',
+  ' guardanapos',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' bebidas',
+  ' citrino'],
+ [' salsicha',
+  ' cebola',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' peru',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' refrigerante',
+  ' refrigerante',
+  ' rolos/pãezinhos'],
+ [' bagas',
+  ' citrino',
+  ' carne',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' pastelaria',
+  ' pão branco',
+  ' rolos/pãezinhos'],
+ [' água engarrafada',
+  ' fruta semente',
+  ' pão integral',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' sorvete',
+  ' leite inteiro',
+  ' pastelaria',
+  ' outros vegetais',
+  ' pão integral',
+  ' café',
+  ' iogurte'],
+ [' leite inteiro',
+  ' fruta semente',
+  ' salsicha',
+  ' iogurte',
+  ' conhaque',
+  ' pão branco'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' ovos domésticos',
+  ' Requeijão cremoso',
+  ' vinho branco',
+  ' barra de especialidade'],
+ [' vegetais de raiz',
+  ' leite UHT',
+  ' guardanapos',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' jornais',
+  ' manteiga',
+  ' carne de porco',
+  ' frango',
+  ' vegetais congelados',
+  ' chantilly/creme azedo',
+  ' cebola',
+  ' barra de especialidade',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' Requeijão cremoso'],
+ [' salsicha',
+  ' carne de porco',
+  ' açúcar',
+  ' citrino',
+  ' outros vegetais',
+  ' café'],
+ [' salsicha',
+  ' sorvete',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' sobremesa',
+  ' outros vegetais',
+  ' manteiga',
+  ' citrino'],
+ [' carne bovina', ' chocolate especial'],
+ [' suco de frutas/legumes',
+  ' coalhada',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' café instantâneo',
+  ' peixe enlatado',
+  ' pratos',
+  ' jornais',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' misc. bebidas',
+  ' iogurte',
+  ' café',
+  ' óleo',
+  ' outros vegetais',
+  ' vasos de plantas'],
+ [' bagas',
+  ' carne de hamburguer',
+  ' outros vegetais',
+  ' coalhada',
+  ' salsicha',
+  ' queijo fatiado',
+  ' leite inteiro',
+  ' iogurte',
+  ' queijo fatiado',
+  ' carne de porco',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' vegetais enlatados'],
+ [' iogurte',
+  ' salsicha',
+  ' goma de mascar',
+  ' leite inteiro',
+  ' chocolate',
+  ' chocolate especial',
+  ' fruta tropical',
+  ' citrino',
+  ' zwieback',
+  ' leite inteiro',
+  ' leite UHT',
+  ' fruta semente',
+  ' fruta tropical',
+  ' cebola',
+  ' cerveja engarrafada',
+  ' comida de gato',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' óleo',
+  ' água engarrafada'],
+ [' carne de porco', ' água engarrafada'],
+ [' cerveja engarrafada',
+  ' outros vegetais',
+  ' salsicha',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' frango',
+  ' pão semi-acabado',
+  ' ovos domésticos',
+  ' chá'],
+ [' carne bovina',
+  ' fruta tropical',
+  ' fruta tropical',
+  ' carne de hamburguer',
+  ' comida de gato',
+  ' vegetais congelados',
+  ' frango',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' vegetais enlatados',
+  ' pratos',
+  ' refrigerante',
+  ' artigos de higiene',
+  ' ovos domésticos',
+  ' chá'],
+ [' carne de porco',
+  ' carne de porco',
+  ' requeijão',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' ervas',
+  ' mostarda',
+  ' coalhada',
+  ' água engarrafada',
+  ' cerveja engarrafada'],
+ [' produtos de batata',
+  ' carne bovina',
+  ' salsicha',
+  ' outros vegetais',
+  ' carne de porco',
+  ' carne bovina',
+  ' outros vegetais',
+  ' produto de panificação longa vida',
+  ' rolos/pãezinhos',
+  ' ervas',
+  ' óleo',
+  ' manteiga',
+  ' iogurte'],
+ [' frango',
+  ' fruta semente',
+  ' zwieback',
+  ' sacolas de compras',
+  ' vinho branco',
+  ' leite UHT',
+  ' refrigerante',
+  ' Requeijão cremoso'],
+ [' frango',
+  ' salsicha',
+  ' produtos sazonais',
+  ' fruta tropical',
+  'waffles',
+  ' barra de especialidade',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' sal',
+  ' citrino',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' sacolas de compras',
+  ' pastas de carne'],
+ [' peixe',
+  ' água engarrafada',
+  ' jornais',
+  ' sacolas de compras',
+  ' refrigerante',
+  ' farinha'],
+ [' cerveja em lata', ' salsicha', ' refrigerante', ' refrigerante'],
+ [' outros vegetais',
+  ' salsicha',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' Queijo processado',
+  ' carne',
+  ' sobremesa',
+  ' iogurte',
+  ' manteiga',
+  ' suco de frutas/legumes',
+  ' Refeições congeladas',
+  ' comida de gato'],
+ [' outros vegetais',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' frutas congeladas',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' vegetais congelados',
+  ' barra de especialidade'],
+ [' fruta tropical',
+  ' cerveja em lata',
+  ' rolos/pãezinhos',
+  ' cerveja engarrafada',
+  ' chantilly/creme azedo',
+  ' ovos domésticos',
+  ' chocolate',
+  ' leite inteiro',
+  ' sorvete',
+  ' vasos de plantas',
+  ' iogurte',
+  ' pão branco'],
+ [' leite inteiro',
+  ' leite inteiro',
+  ' citrino',
+  ' frango',
+  ' peru',
+  ' carne de porco',
+  ' comida de cão',
+  ' chocolate',
+  ' fruta semente',
+  ' leite inteiro',
+  ' espumante',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' fruta semente',
+  ' refrigerante',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' cerveja em lata'],
+ [' carne bovina',
+  ' citrino',
+  ' pão branco',
+  ' artif. adoçante',
+  ' carne',
+  ' vegetais de raiz',
+  ' removedor de maquiagem',
+  ' lanche salgado'],
+ [' salsicha',
+  ' iogurte',
+  ' pastelaria',
+  ' leite inteiro',
+  ' jornais',
+  ' goma de mascar',
+  ' Soro de leite coalhado',
+  ' leite inteiro'],
+ [' leite inteiro',
+  ' outros vegetais',
+  ' salsicha',
+  ' outros vegetais',
+  ' citrino',
+  ' doce',
+  ' carne de porco',
+  ' licor (aperitivo)',
+  ' pastas de carne',
+  ' barra de especialidade',
+  ' chantilly/creme azedo',
+  ' ovos domésticos',
+  ' velas',
+  ' vinho tinto/blush'],
+ [' rolos/pãezinhos',
+  ' chocolate especial',
+  ' Soro de leite coalhado',
+  ' refrigerante'],
+ [' citrino',
+  ' sobremesa congelada',
+  ' iogurte',
+  ' presunto',
+  ' fruta tropical',
+  ' leite inteiro'],
+ [' leite inteiro',
+  ' fruta tropical',
+  ' salsicha',
+  ' leite inteiro',
+  ' carne bovina',
+  ' outros vegetais',
+  ' coalhada',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' café',
+  ' outros vegetais',
+  ' cerveja em lata',
+  'waffles',
+  ' chantilly/creme azedo',
+  ' pastelaria',
+  ' carne bovina',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' velas',
+  ' refrigerante',
+  ' barra de bolo',
+  ' leite inteiro',
+  ' pastas doces',
+  ' pão integral',
+  ' farinha'],
+ [' fruta tropical', ' chantilly/creme azedo'],
+ [' lanche salgado',
+  ' iogurte',
+  ' vegetais de raiz',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' sacolas de compras',
+  ' Margarina',
+  ' pastelaria',
+  ' café',
+  ' água engarrafada'],
+ [' leite inteiro', ' salsicha', ' frango', ' água engarrafada'],
+ [' vegetais de raiz',
+  ' licor',
+  ' salsicha',
+  ' outros vegetais',
+  ' misc. bebidas',
+  ' pastelaria',
+  ' açúcar',
+  ' spray de cabelo',
+  ' sacolas de compras',
+  ' refrigerante',
+  ' cerveja em lata'],
+ [' refrigerante',
+  ' cerveja engarrafada',
+  ' doce',
+  ' carne de hamburguer',
+  ' fruta tropical',
+  ' peixe enlatado',
+  ' queijo especial',
+  ' iogurte',
+  ' iogurte'],
+ [' coalhada',
+  ' leite inteiro',
+  ' vinho tinto/blush',
+  ' chantilly/creme azedo',
+  ' lâmpadas',
+  ' cozinhar chocolate'],
+ [' água engarrafada',
+  ' carne bovina',
+  ' fruta tropical',
+  ' pastelaria',
+  ' leite inteiro',
+  ' fruta semente',
+  ' café',
+  ' bebidas',
+  'waffles',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo'],
+ [' fruta/legumes embalados',
+  ' pastelaria',
+  ' iogurte',
+  ' Soro de leite coalhado',
+  ' artigos de higiene'],
+ [' fruta tropical', ' produtos orgânicos', ' velas', ' refrigerante'],
+ [' bebidas',
+  ' outros vegetais',
+  ' refrigerante',
+  ' legumes em conserva',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' leite inteiro',
+  'waffles'],
+ [' salsicha',
+  ' sorvete',
+  ' cebola',
+  ' produtos sanitários femininos',
+  ' iogurte',
+  ' licor',
+  ' refrigerante',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' ovos domésticos',
+  ' pratos',
+  ' leite inteiro',
+  ' sobremesa',
+  ' vinho tinto/blush',
+  ' sacolas de compras',
+  'waffles'],
+ [' salsicha',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' barra de especialidade',
+  ' outros vegetais'],
+ [' vegetais de raiz',
+  ' refrigerante',
+  ' pastas doces',
+  ' zwieback',
+  ' cerveja engarrafada',
+  ' Refeições congeladas',
+  ' Sementes de flores)',
+  ' massa',
+  ' sacolas de compras'],
+ [' refrigerante',
+  ' coalhada',
+  ' leite inteiro',
+  ' queijo fatiado',
+  ' sacolas de compras',
+  ' peixe congelado',
+  ' suco de frutas/legumes'],
+ [' refrigerante',
+  ' chocolate',
+  ' refrigerante',
+  ' artigos de higiene',
+  ' chantilly/creme azedo',
+  ' chocolate especial',
+  ' rolos/pãezinhos'],
+ [' salsicha',
+  ' salsicha',
+  ' frango',
+  ' carne',
+  ' outros vegetais',
+  ' coalhada',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' outros vegetais',
+  ' Queijo processado',
+  ' rolos/pãezinhos',
+  ' peixe enlatado',
+  ' zwieback',
+  ' rolos/pãezinhos'],
+ [' bagas',
+  ' Requeijão cremoso',
+  ' fruta tropical',
+  ' chocolate',
+  ' produtos finalizados',
+  ' rolos/pãezinhos',
+  ' sobremesa',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos'],
+ [' cerveja em lata', ' queijo macio', ' coalhada', ' chocolate especial'],
+ [' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' fruta semente',
+  ' fruta semente',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' detergente',
+  ' vegetais enlatados'],
+ [' salsicha',
+  ' carne bovina',
+  ' cerveja em lata',
+  ' leite UHT',
+  ' rolos/pãezinhos',
+  'waffles',
+  ' vegetais de raiz',
+  ' coalhada',
+  ' Margarina',
+  ' lanche salgado',
+  ' pastelaria',
+  ' chocolate'],
+ [' bagas',
+  ' iogurte',
+  ' leite inteiro',
+  ' pastelaria',
+  ' leite inteiro',
+  ' bebidas',
+  ' sobremesa',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' vinho branco',
+  ' sorvete',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' vinho tinto/blush',
+  ' refrigerante',
+  ' vegetais congelados'],
+ [' salsicha',
+  ' fruta/legumes embalados',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' Soro de leite coalhado',
+  ' barra de especialidade',
+  ' Requeijão cremoso',
+  ' ovos domésticos'],
+ [' jornais',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' cebola',
+  ' fruta semente',
+  ' fruta tropical',
+  ' iogurte',
+  ' manteiga',
+  ' cerveja em lata',
+  ' barra de especialidade',
+  ' detergente',
+  ' barra de especialidade'],
+ [' peixe congelado',
+  ' outros vegetais',
+  ' salsicha',
+  ' manteiga',
+  ' fruta semente',
+  ' leite inteiro',
+  ' carne',
+  ' bagas',
+  ' carne bovina',
+  ' iogurte',
+  ' refrigerante',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' iogurte',
+  ' refrigerante',
+  ' vinho tinto/blush'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' fruta tropical',
+  ' presunto',
+  ' produtos finalizados',
+  ' água engarrafada',
+  ' refrigerante',
+  ' maionese',
+  ' doce',
+  ' barra de especialidade',
+  ' leite UHT',
+  ' refrigerante',
+  ' suco de frutas/legumes'],
+ [' rolos/pãezinhos',
+  ' óleo',
+  ' sobremesa',
+  ' refrigerante',
+  ' molhos',
+  ' açúcar',
+  'waffles',
+  ' Refeições congeladas',
+  ' limpador de prato'],
+ [' chocolate especial',
+  ' cebola',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' vegetais de raiz',
+  ' cerveja em lata',
+  ' manteiga',
+  ' fermento em pó',
+  ' açúcar',
+  ' cebola',
+  ' Sementes de flores)',
+  ' água engarrafada'],
+ [' leite inteiro',
+  ' fruta/legumes embalados',
+  ' fruta semente',
+  ' iogurte',
+  ' cerveja engarrafada'],
+ [' foto/filme',
+  ' sobremesa',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' pastelaria',
+  ' Soro de leite coalhado',
+  ' pão branco',
+  ' leite inteiro',
+  ' queijo fatiado',
+  ' pão integral',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' geléia',
+  ' coalhada',
+  ' outros vegetais',
+  ' produtos sazonais',
+  ' detergente',
+  ' farinha'],
+ [' carne de hamburguer',
+  ' iogurte',
+  ' vegetais de raiz',
+  ' película aderente/sacos',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' presunto',
+  ' outros vegetais'],
+ [' outros vegetais', ' manteiga'],
+ [' leite inteiro',
+  ' outros vegetais',
+  ' presunto',
+  ' leite inteiro',
+  ' fruta semente',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' chantilly/creme azedo'],
+ [' carne de porco',
+  ' salsicha',
+  ' chantilly/creme azedo',
+  ' bagas',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' velas',
+  ' pastelaria',
+  ' chocolate especial',
+  ' molhos',
+  ' café',
+  ' farinha',
+  ' espalhar queijo',
+  ' maionese',
+  ' chocolate especial',
+  ' cerveja engarrafada'],
+ [' frango',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' detergente',
+  ' ovos domésticos',
+  ' lanche salgado',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' fruta tropical',
+  ' chocolate',
+  ' salsicha',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' citrino',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' chantilly/creme azedo',
+  ' iogurte',
+  ' Margarina'],
+ [' leite inteiro',
+  ' carne de porco',
+  ' velas',
+  ' Soro de leite coalhado',
+  ' vegetais congelados',
+  ' outros vegetais',
+  ' Refeições congeladas',
+  ' goma de mascar',
+  ' sobremesa',
+  ' outros vegetais',
+  ' Pipoca',
+  ' óleo'],
+ [' rolos/pãezinhos',
+  ' leite inteiro',
+  ' carne bovina',
+  ' guardanapos',
+  ' lanche salgado',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' chocolate',
+  ' vegetais congelados',
+  ' refrigerante',
+  ' leite inteiro',
+  ' chocolate'],
+ [' artigos de higiene',
+  ' fruta semente',
+  ' fruta/legumes embalados',
+  ' frango',
+  ' suco de frutas/legumes',
+  ' outros vegetais'],
+ [' sorvete',
+  ' cosméticos para bebês',
+  ' salsicha',
+  ' citrino',
+  ' salsicha',
+  ' iogurte',
+  ' cuidados com a pele',
+  ' vegetais de raiz',
+  ' vasos de plantas',
+  ' fruta semente',
+  ' fruta semente',
+  ' água engarrafada',
+  ' óleo',
+  ' citrino',
+  ' espalhar queijo',
+  ' outros vegetais',
+  ' óleo',
+  ' ovos domésticos',
+  ' sobremesa congelada',
+  ' doce',
+  ' água engarrafada',
+  ' barra de bolo',
+  ' refrigerante',
+  ' guardanapos'],
+ [' coalhada',
+  ' outros vegetais',
+  ' carne de hamburguer',
+  ' produtos de batata congelada',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' refrigerante',
+  ' leite inteiro',
+  ' citrino',
+  'waffles',
+  ' Requeijão cremoso',
+  ' refrigerante',
+  ' pão semi-acabado',
+  ' guardanapos'],
+ [' leite inteiro',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' licor (aperitivo)',
+  ' sacolas de compras'],
+ [' cebola',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' cerveja engarrafada'],
+ [' produtos finalizados', ' artif. adoçante', ' iogurte', ' ervas'],
+ [' sal',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' manteiga',
+  ' sacolas de compras',
+  ' suco de frutas/legumes'],
+ [' fruta tropical',
+  ' rolos/pãezinhos',
+  ' bagas',
+  ' fruta tropical',
+  ' Requeijão cremoso',
+  ' óleo',
+  ' sacolas de compras',
+  ' coalhada',
+  ' iogurte',
+  ' Pipoca',
+  ' peixe congelado'],
+ [' outros vegetais',
+  ' salsicha',
+  ' chocolate especial',
+  ' leite inteiro',
+  ' carne de hamburguer',
+  ' manteiga',
+  ' refrigerante',
+  ' peixe congelado',
+  ' leite inteiro',
+  ' pão branco',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  ' carne de porco',
+  ' outros vegetais',
+  ' comida de gato',
+  ' comida de gato',
+  ' cebola',
+  ' cerveja engarrafada',
+  ' farinha',
+  ' jornais',
+  ' Margarina',
+  ' produtos de rolo',
+  ' pastelaria'],
+ [' sorvete',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' peixe',
+  ' Margarina',
+  ' uvas',
+  ' leite UHT',
+  ' Margarina',
+  ' pastelaria',
+  ' cerveja em lata',
+  ' iogurte',
+  ' manteiga',
+  ' iogurte'],
+ [' fruta tropical',
+  ' carne de porco',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' pastelaria',
+  ' prosecco'],
+ [' salsicha',
+  ' ervas',
+  ' rolos/pãezinhos',
+  ' peru',
+  ' refrigerante',
+  ' fruta semente',
+  ' pastelaria',
+  ' produto de panificação longa vida'],
+ [' outros vegetais',
+  ' água engarrafada',
+  ' película aderente/sacos',
+  ' guardanapos'],
+ [' fruta tropical',
+  ' cerveja em lata',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' carne de porco',
+  ' leite UHT',
+  ' ovos domésticos',
+  ' Margarina',
+  ' queijo fatiado',
+  ' iogurte',
+  ' vinho branco',
+  ' ovos domésticos',
+  ' pão branco',
+  ' suco de frutas/legumes'],
+ [' citrino',
+  ' pão integral',
+  ' carne bovina',
+  ' leite inteiro',
+  ' peixe enlatado',
+  ' pão integral'],
+ [' leite UHT',
+  ' queijo macio',
+  ' rolos/pãezinhos',
+  ' frango',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' fruta semente',
+  ' óleo',
+  ' vinho tinto/blush',
+  ' fruta semente',
+  ' maionese'],
+ [' citrino',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' Sementes de flores)'],
+ [' iogurte',
+  ' refrigerante',
+  ' outros vegetais',
+  ' manteiga',
+  ' outros vegetais',
+  ' Margarina'],
+ [' cerveja engarrafada', ' salsicha', ' outros vegetais', 'waffles'],
+ [' uvas', ' leite inteiro'],
+ [' carne de porco',
+  ' outros vegetais',
+  ' Pipoca',
+  ' outros vegetais',
+  ' frango',
+  ' pastelaria',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' foto/filme',
+  ' carne',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' pratos',
+  ' ervas',
+  ' cerveja em lata',
+  ' fruta semente',
+  ' cebola',
+  ' Requeijão cremoso',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes',
+  ' óleo',
+  ' Margarina',
+  ' Soro de leite coalhado',
+  ' chocolate',
+  ' velas',
+  ' pão branco',
+  ' produtos sanitários femininos'],
+ [' salsicha',
+  ' carne bovina',
+  ' jornais',
+  ' carne de porco',
+  ' citrino',
+  ' limpador de prato',
+  ' manteiga',
+  ' refrigerante',
+  ' café',
+  ' farinha',
+  ' Margarina',
+  ' produtos sanitários femininos'],
+ [' salsicha',
+  ' salsicha orgânica',
+  ' outros vegetais',
+  ' iogurte',
+  ' leite inteiro',
+  ' iogurte',
+  ' queijo duro',
+  ' água engarrafada',
+  ' sacolas de compras',
+  ' detergente'],
+ [' artif. adoçante', ' carne de porco', ' leite inteiro', ' pastelaria'],
+ [' ovos domésticos',
+  ' manteiga',
+  ' iogurte',
+  ' outros vegetais',
+  ' jornais',
+  ' outros vegetais',
+  ' jornais',
+  ' pão branco',
+  ' cereais',
+  ' xarope',
+  ' lanche salgado',
+  ' limpador'],
+ [' fruta/legumes embalados',
+  ' uvas',
+  ' refrigerante',
+  ' citrino',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' pratos',
+  ' refrigerante',
+  ' coalhada',
+  ' rolos/pãezinhos',
+  ' artigos de higiene',
+  ' suco de frutas/legumes',
+  ' manteiga',
+  ' amaciante',
+  'waffles',
+  ' cerveja engarrafada'],
+ [' frango',
+  ' rolos/pãezinhos',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' produtos finalizados',
+  ' bagas',
+  ' rolos/pãezinhos',
+  ' manteiga',
+  ' coalhada',
+  ' massa',
+  ' refrigerante',
+  ' outros vegetais',
+  ' manteiga',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' pastelaria',
+  ' iogurte',
+  ' doce',
+  ' refrigerante',
+  ' jornais',
+  ' citrino'],
+ [' lâmpadas',
+  ' queijo duro',
+  ' leite inteiro',
+  ' coalhada',
+  ' chocolate',
+  ' cebola',
+  ' iogurte',
+  ' licor',
+  ' nozes/ameixas',
+  ' iogurte',
+  ' outros vegetais',
+  ' vinagre'],
+ [' salsicha',
+  ' água engarrafada',
+  ' água engarrafada',
+  ' Sementes de flores)',
+  ' ovos domésticos',
+  ' suco de frutas/legumes',
+  ' chantilly/creme azedo',
+  ' chocolate'],
+ [' citrino',
+  ' carne',
+  ' pão de fígado',
+  ' vegetais de raiz',
+  ' queijo fatiado',
+  ' pão branco',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' água engarrafada',
+  ' refrigerante',
+  ' ervas',
+  ' outros vegetais',
+  ' pastelaria',
+  ' pastelaria',
+  ' Refeições congeladas',
+  ' jornais',
+  ' cebola'],
+ [' outros vegetais',
+  ' chantilly/creme azedo',
+  ' peixe enlatado',
+  ' licor',
+  ' café instantâneo',
+  ' sacolas de compras'],
+ [' sorvete',
+  ' carne bovina',
+  ' leite inteiro',
+  ' coalhada',
+  ' carne bovina',
+  ' coalhada',
+  ' licor',
+  ' sacolas de compras',
+  ' Margarina',
+  ' ovos domésticos',
+  ' queijo especial'],
+ [' carne de porco',
+  ' café',
+  ' pão integral',
+  ' licor',
+  ' uvas',
+  ' carne de hamburguer',
+  ' outros vegetais',
+  ' pão integral',
+  ' jornais',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' detergente',
+  ' vegetais congelados'],
+ [' carne de porco',
+  ' refrigerante',
+  ' bebidas',
+  ' zwieback',
+  ' óleo',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' coalhada',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' pão branco',
+  ' ovos domésticos'],
+ [' fruta tropical',
+  ' lanche salgado',
+  ' coalhada',
+  ' salsicha',
+  ' fruta semente',
+  ' salsicha',
+  ' iogurte',
+  ' uvas',
+  ' chocolate',
+  ' frango',
+  ' pão branco',
+  ' jornais',
+  ' rolos/pãezinhos',
+  ' fruta semente',
+  ' refrigerante',
+  ' misc. bebidas',
+  ' vinho tinto/blush',
+  'waffles'],
+ [' chantilly/creme azedo',
+  ' leite UHT',
+  ' outros vegetais',
+  ' rolos/pãezinhos'],
+ [' bagas',
+  ' salsicha',
+  ' leite inteiro',
+  ' jornais',
+  ' água engarrafada',
+  ' produtos orgânicos'],
+ [' bagas',
+  ' leite inteiro',
+  ' carne',
+  ' citrino',
+  ' frango',
+  ' outros vegetais',
+  ' fruta semente',
+  ' presunto',
+  ' carne de porco',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' chantilly/creme azedo',
+  ' água engarrafada',
+  ' pão branco',
+  ' cereais',
+  ' vegetais enlatados'],
+ [' rolos/pãezinhos',
+  ' outros vegetais',
+  ' bagas',
+  ' vegetais de raiz',
+  ' pão branco',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' guardanapos',
+  ' artigos de higiene',
+  ' licor (aperitivo)'],
+ [' café',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' fruta semente',
+  ' conhaque',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' peixe congelado',
+  ' Leite condensado',
+  ' Leite condensado',
+  ' leite inteiro',
+  ' ovos domésticos',
+  ' legumes em conserva',
+  ' pão integral'],
+ [' leite inteiro',
+  ' frango',
+  ' sacolas de compras',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' coalhada',
+  ' licor',
+  ' salsicha',
+  ' café',
+  ' outros vegetais',
+  ' água engarrafada',
+  ' suco de frutas/legumes',
+  ' chantilly/creme azedo',
+  ' queijo duro',
+  ' jornais',
+  ' café'],
+ [' leite inteiro',
+  ' sobremesa',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' lâmpadas',
+  ' fruta semente',
+  ' queijo especial',
+  ' queijo duro',
+  ' cerveja em lata',
+  ' gordura especial',
+  ' sacolas de compras'],
+ [' citrino',
+  ' chantilly/creme azedo',
+  ' óleo',
+  ' carne',
+  ' carne de hamburguer',
+  ' manteiga',
+  ' água engarrafada',
+  ' iogurte',
+  ' jornais',
+  ' rolos/pãezinhos'],
+ [' peru', ' água engarrafada', ' leite UHT', ' água engarrafada'],
+ [' Margarina', ' vegetais de raiz'],
+ [' Soro de leite coalhado',
+  ' coalhada',
+  ' bagas',
+  ' bebidas',
+  ' vegetais de raiz',
+  ' produto de panificação longa vida',
+  ' barra de bolo',
+  ' ovos domésticos'],
+ [' carne bovina',
+  ' fruta/legumes embalados',
+  ' salsicha',
+  ' água engarrafada',
+  ' sorvete',
+  ' manteiga',
+  ' outros vegetais',
+  ' licor (aperitivo)',
+  ' Margarina',
+  ' leite inteiro'],
+ [' água engarrafada',
+  ' carne',
+  ' rolos/pãezinhos',
+  ' sobremesa',
+  ' Margarina',
+  ' ovos domésticos'],
+ [' fruta semente',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' guardanapos',
+  ' fruta tropical',
+  ' outros vegetais',
+  ' carne bovina',
+  ' fruta tropical',
+  ' citrino',
+  ' chantilly/creme azedo',
+  ' jornais',
+  ' leite UHT',
+  ' Requeijão cremoso',
+  ' iogurte',
+  ' iogurte',
+  ' xarope',
+  ' sal',
+  ' ovos domésticos',
+  ' açúcar',
+  ' espalhar queijo',
+  ' queijo macio',
+  ' farinha',
+  ' peixe congelado',
+  ' detergente',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' Requeijão cremoso'],
+ [' leite inteiro',
+  ' rolos/pãezinhos',
+  ' comida de gato',
+  ' vegetais de raiz',
+  ' espalhar queijo',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' refrigerante',
+  ' queijo fatiado',
+  ' refrigerante'],
+ [' chocolate',
+  ' citrino',
+  ' fruta tropical',
+  ' cebola',
+  ' pão integral',
+  ' leite UHT',
+  ' detergente',
+  ' limpador abrasivo',
+  ' rolos/pãezinhos',
+  ' sacolas de compras'],
+ [' salsicha',
+  ' presunto',
+  ' comida de cão',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' cerveja em lata',
+  ' manteiga',
+  ' vinho tinto/blush'],
+ [' leite inteiro',
+  ' vinho tinto/blush',
+  ' uvas',
+  ' presunto',
+  ' água engarrafada',
+  ' cerveja engarrafada',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' presunto',
+  ' carne de porco',
+  ' água engarrafada',
+  ' outros vegetais',
+  ' fruta semente',
+  ' sorvete',
+  ' limpador de banheiro',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' vegetais congelados',
+  ' guardanapos',
+  ' guardanapos',
+  'waffles'],
+ [' vegetais de raiz',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' salsicha',
+  ' peixe enlatado',
+  ' amaciante',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' iogurte',
+  ' Margarina',
+  ' artigos de higiene'],
+ [' leite UHT',
+  ' leite UHT',
+  ' outros vegetais',
+  ' Refeições congeladas',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' óleo',
+  ' barra de bolo'],
+ [' cebola',
+  ' rolos/pãezinhos',
+  ' peru',
+  ' frango',
+  ' lanche de nozes',
+  ' chá',
+  ' carne de hamburguer',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' outros vegetais',
+  ' produtos de rolo',
+  ' cerveja engarrafada',
+  ' bebidas',
+  ' jornais'],
+ [' carne de porco',
+  ' carne de hamburguer',
+  ' coalhada',
+  ' sacolas de compras',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' refrigerante',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos'],
+ [' cerveja em lata',
+  ' chantilly/creme azedo',
+  ' carne de hamburguer',
+  ' rolos/pãezinhos',
+  ' presunto',
+  ' pão branco',
+  ' frango',
+  ' especiarias',
+  ' Queijo processado',
+  ' iogurte',
+  ' sopas',
+  ' Margarina',
+  ' chocolate'],
+ [' iogurte',
+  ' carne de porco',
+  ' vegetais de raiz',
+  ' queijo duro',
+  ' iogurte',
+  ' fruta semente',
+  ' misc. bebidas',
+  ' iogurte'],
+ [' fruta semente',
+  ' outros vegetais',
+  ' refrigerante',
+  ' cerveja em lata',
+  ' água engarrafada',
+  ' chocolate especial',
+  ' ovos domésticos',
+  ' outros vegetais',
+  ' ovos domésticos',
+  ' película aderente/sacos',
+  ' cerveja engarrafada',
+  ' refrigerante',
+  'waffles',
+  ' misc. bebidas',
+  ' café instantâneo'],
+ [' café',
+  ' outros vegetais',
+  ' barra de especialidade',
+  ' fruta tropical',
+  ' salsicha',
+  ' fruta tropical',
+  ' Soro de leite coalhado',
+  ' jornais',
+  ' iogurte',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' bebidas',
+  ' pastelaria',
+  ' fermento em pó',
+  ' iogurte'],
+ [' água engarrafada',
+  ' chocolate especial',
+  ' outros vegetais',
+  ' refrigerante',
+  ' cebola',
+  ' bebidas',
+  ' refrigerante',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  ' massa'],
+ [' cerveja engarrafada',
+  ' fruta tropical',
+  ' leite UHT',
+  ' vegetais de raiz',
+  ' fruta semente',
+  ' leite inteiro',
+  ' suco de frutas/legumes',
+  ' refrigerante',
+  ' bebidas',
+  ' pastelaria',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' pão integral',
+  ' chocolate especial'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' refrigerante',
+  ' leite inteiro',
+  ' lanches',
+  ' produto de panificação longa vida'],
+ [' sacolas de compras',
+  ' salsicha',
+  ' citrino',
+  ' peru',
+  ' iogurte',
+  ' vegetais de raiz',
+  ' Margarina',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' Produtos alimentares instantâneos',
+  ' refrigerante',
+  ' leite inteiro',
+  ' coalhada',
+  ' peixe enlatado',
+  ' rolos/pãezinhos',
+  ' refrigerante'],
+ [' carne de porco',
+  ' salsicha',
+  ' carne bovina',
+  ' chocolate',
+  ' vegetais de raiz',
+  ' Refeições congeladas',
+  ' pão integral',
+  ' peixe congelado',
+  ' peixe congelado'],
+ [' salsicha',
+  ' rolos/pãezinhos',
+  ' café instantâneo',
+  ' leite UHT',
+  ' Margarina',
+  ' leite inteiro',
+  ' pratos',
+  ' manteiga',
+  ' velas',
+  ' licor',
+  ' iogurte',
+  ' lanche salgado'],
+ [' sorvete',
+  ' carne bovina',
+  ' uvas',
+  ' salsicha',
+  ' leite UHT',
+  ' outros vegetais',
+  ' ervas',
+  ' pastelaria',
+  ' leite inteiro',
+  ' sobremesa',
+  ' iogurte',
+  ' queijo macio',
+  ' guardanapos'],
+ [' salsicha',
+  ' manteiga',
+  ' bebidas',
+  ' refrigerante',
+  ' cebola',
+  ' outros vegetais',
+  ' sacolas de compras',
+  ' guardanapos',
+  ' chocolate'],
+ [' salsicha',
+  ' iogurte',
+  ' cosméticos masculinos',
+  ' óleo',
+  ' cerveja engarrafada',
+  ' fruta tropical',
+  ' açúcar',
+  ' sal',
+  ' chantilly/creme azedo',
+  ' água engarrafada'],
+ [' vegetais de raiz',
+  ' refrigerante',
+  ' salsicha',
+  ' rolos/pãezinhos',
+  ' Margarina',
+  ' Requeijão cremoso',
+  ' manteiga',
+  ' jornais',
+  ' removedor de maquiagem',
+  ' gordura especial',
+  ' ovos domésticos',
+  ' sacolas de compras'],
+ [' leite inteiro',
+  ' artigos de higiene',
+  ' refrigerante',
+  ' café',
+  ' produto de panificação longa vida',
+  ' vegetais congelados'],
+ [' salsicha',
+  ' café',
+  ' salsicha',
+  ' salsicha',
+  ' cerveja engarrafada',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' outros vegetais',
+  ' fruta semente',
+  ' água engarrafada',
+  ' manteiga',
+  ' Margarina',
+  ' açúcar',
+  ' pão integral',
+  ' café',
+  ' cerveja em lata',
+  ' lanche salgado',
+  ' jornais',
+  ' refrigerante'],
+ [' sacolas de compras',
+  ' Soro de leite coalhado',
+  ' salsicha',
+  ' fruta/legumes embalados',
+  ' Soro de leite coalhado',
+  ' Margarina',
+  ' licor (aperitivo)',
+  ' chá',
+  ' café'],
+ [' manteiga',
+  ' outros vegetais',
+  ' cerveja em lata',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' pastelaria',
+  ' jornais',
+  ' sobremesa',
+  ' cerveja em lata',
+  ' fruta/legumes embalados',
+  ' Queijo processado',
+  ' farinha',
+  ' pastas de carne'],
+ [' salsicha', ' leite inteiro'],
+ [' carne de porco',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' ervas',
+  ' Requeijão cremoso',
+  ' farinha',
+  ' leite inteiro',
+  ' iogurte',
+  ' comida de cão'],
+ [' leite inteiro',
+  ' carne de hamburguer',
+  ' fruta tropical',
+  ' pastelaria',
+  ' Soro de leite coalhado',
+  ' licor',
+  ' bebidas',
+  ' iogurte',
+  ' coalhada',
+  ' toalhas de cozinha',
+  ' refrigerante',
+  ' cerveja engarrafada'],
+ [' pão integral', ' sacolas de compras'],
+ [' peixe congelado',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' queijo especial',
+  ' vegetais congelados',
+  ' sacolas de compras',
+  ' rolos/pãezinhos'],
+ [' refrigerante', ' leite inteiro', ' uvas', ' jornais'],
+ [' carne de porco',
+  ' chantilly/creme azedo',
+  ' carne bovina',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' refrigerante',
+  ' coalhada'],
+ [' chantilly/creme azedo',
+  ' iogurte',
+  ' Refeições congeladas',
+  ' goma de mascar',
+  ' refrigerante',
+  ' óleo'],
+ [' salsicha',
+  ' leite inteiro',
+  ' salsicha',
+  ' salsicha',
+  ' citrino',
+  ' fruta tropical',
+  ' vegetais de raiz',
+  ' cebola',
+  ' fruta/legumes embalados',
+  ' fruta/legumes embalados',
+  ' pão integral',
+  ' óleo',
+  ' misc. bebidas'],
+ [' salsicha',
+  ' ovos domésticos',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' carne bovina',
+  ' fruta semente',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' citrino',
+  ' produtos de rolo',
+  ' Leite condensado',
+  ' outros vegetais',
+  ' vinho branco',
+  ' xarope',
+  ' vasos de plantas',
+  ' pão integral',
+  ' queijo duro',
+  ' refrigerante',
+  ' produtos de rolo',
+  ' jornais'],
+ [' citrino',
+  'waffles',
+  ' iogurte',
+  ' outros vegetais',
+  ' iogurte',
+  ' clínica de cuidado de animais domésticos'],
+ [' presunto',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' Refeições congeladas',
+  ' fruta tropical',
+  ' cerveja engarrafada',
+  ' pastelaria',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' jornais'],
+ [' goma de mascar',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' salsicha orgânica',
+  ' espumante',
+  ' outros vegetais',
+  ' Refeições congeladas',
+  ' sacolas de compras',
+  ' chocolate especial',
+  ' rolos/pãezinhos',
+  ' lanche salgado'],
+ [' carne bovina',
+  ' pão integral',
+  ' leite inteiro',
+  ' jornais',
+  ' cerveja em lata',
+  ' bagas',
+  ' misc. bebidas',
+  ' fruta tropical',
+  ' café instantâneo',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' açúcar',
+  ' Refeições congeladas',
+  ' iogurte',
+  ' lanche salgado',
+  ' leite inteiro',
+  ' iogurte',
+  ' rolos/pãezinhos',
+  ' limpador de prato',
+  ' cerveja engarrafada'],
+ [' carne bovina',
+  ' outros vegetais',
+  ' carne bovina',
+  ' goma de mascar',
+  ' ovos domésticos',
+  ' fruta tropical',
+  ' maionese',
+  ' rolos/pãezinhos',
+  ' sacolas de compras',
+  ' café',
+  ' manteiga',
+  ' chocolate',
+  ' guardanapos',
+  ' pão integral',
+  ' bebidas'],
+ [' salsicha',
+  ' carne de porco',
+  ' bebidas',
+  ' salsicha',
+  ' bebidas',
+  ' salsicha',
+  ' ovos domésticos',
+  ' chocolate',
+  ' queijo duro',
+  ' água engarrafada'],
+ [' peixe enlatado',
+  ' fruta semente',
+  ' salsicha',
+  ' sobremesa',
+  ' coalhada',
+  ' barra de especialidade',
+  ' bebidas',
+  ' salsicha',
+  ' salsicha',
+  ' açúcar',
+  ' peixe enlatado',
+  ' queijo macio',
+  ' iogurte',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' outros vegetais',
+  ' óleo',
+  ' coalhada',
+  ' leite inteiro',
+  ' jornais'],
+ [' salsicha',
+  ' salsicha',
+  ' frango',
+  ' salsicha',
+  ' pastelaria',
+  ' suco de frutas/legumes',
+  ' película aderente/sacos',
+  ' cerveja em lata',
+  ' vasos de plantas',
+  ' rolos/pãezinhos',
+  ' refrigerante'],
+ [' água engarrafada',
+  ' salsicha',
+  ' leite inteiro',
+  ' Requeijão cremoso',
+  ' pastelaria',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' iogurte',
+  ' Requeijão cremoso',
+  ' fermento em pó',
+  ' suco de frutas/legumes',
+  ' leite inteiro'],
+ [' água engarrafada',
+  ' outros vegetais',
+  ' salsicha',
+  ' refrigerante',
+  ' pastas de carne',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' lâmpadas',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' queijo duro',
+  ' cerveja em lata',
+  ' vegetais congelados',
+  ' manteiga'],
+ [' frango', ' maionese', ' artif. adoçante', ' pastelaria'],
+ [' salsicha',
+  ' carne',
+  ' iogurte',
+  ' salsicha',
+  ' vegetais de raiz',
+  ' fruta tropical',
+  ' refrigerante',
+  ' lanche salgado',
+  ' citrino',
+  ' vinho branco',
+  ' ovos domésticos',
+  ' rolos/pãezinhos',
+  ' sobremesa congelada',
+  ' vegetais congelados',
+  ' bebidas',
+  ' cerveja em lata'],
+ [' frango',
+  ' licor',
+  ' chocolate especial',
+  ' vinho branco',
+  ' salsicha',
+  ' nozes/ameixas',
+  ' coalhada',
+  ' fruta tropical',
+  ' Requeijão cremoso',
+  ' barra de bolo',
+  ' coalhada',
+  ' iogurte',
+  ' outros vegetais',
+  ' vegetais congelados',
+  ' lanche salgado'],
+ [' frango',
+  ' suco de frutas/legumes',
+  ' vegetais de raiz',
+  ' cebola',
+  ' chocolate especial',
+  ' iogurte',
+  ' manteiga',
+  ' iogurte',
+  ' Produtos alimentares instantâneos'],
+ [' manteiga',
+  ' salsicha',
+  ' detergente',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' rolos/pãezinhos',
+  ' sal'],
+ [' chantilly/creme azedo',
+  ' salsicha',
+  ' leite inteiro',
+  ' iogurte',
+  ' petiscos'],
+ [' salsicha',
+  ' salsicha',
+  ' café',
+  ' lanche salgado',
+  ' água engarrafada',
+  ' Requeijão cremoso',
+  ' iogurte',
+  ' leite inteiro'],
+ [' carne bovina',
+  ' água engarrafada',
+  ' leite inteiro',
+  ' pão semi-acabado',
+  ' farinha',
+  ' vegetais congelados',
+  ' açúcar',
+  ' outros vegetais',
+  ' refrigerante',
+  ' leite UHT',
+  ' chantilly/creme azedo'],
+ [' frango',
+  ' leite inteiro',
+  ' cerveja em lata',
+  ' cerveja em lata',
+  ' misc. bebidas',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' iogurte',
+  ' suco de frutas/legumes',
+  ' rolos/pãezinhos',
+  ' limpador de prato'],
+ [' salsicha',
+  ' fruta semente',
+  ' leite inteiro',
+  ' refrigerante',
+  ' Leite condensado'],
+ [' citrino',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' pão integral',
+  ' carne de hamburguer',
+  ' Requeijão cremoso',
+  ' legumes em conserva'],
+ [' sorvete', ' leite inteiro', ' cerveja em lata', ' manteiga'],
+ [' chocolate especial',
+  ' fruta tropical',
+  ' carne',
+  ' vegetais de raiz',
+  ' leite inteiro',
+  ' coalhada',
+  ' peixe congelado',
+  ' pastelaria',
+  ' goma de mascar',
+  ' sorvete',
+  ' cerveja engarrafada',
+  ' chocolate',
+  ' leite UHT',
+  ' jornais',
+  ' sacolas de compras',
+  ' goma de mascar',
+  ' limpador',
+  ' suco de frutas/legumes',
+  ' refrigerante'],
+ [' salsicha',
+  ' salsicha',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' refrigerante',
+  ' ervas',
+  ' ovos domésticos',
+  ' cerveja engarrafada',
+  ' carne',
+  ' uvas',
+  ' pão integral',
+  ' chantilly/creme azedo',
+  ' pão branco',
+  'waffles',
+  ' refrigerante',
+  ' Requeijão cremoso',
+  ' água engarrafada'],
+ [' carne de porco',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' outros vegetais',
+  ' iogurte',
+  ' água engarrafada',
+  ' Margarina',
+  ' cerveja engarrafada',
+  ' fruta semente',
+  ' bagas',
+  ' refrigerante',
+  ' sacolas de compras',
+  ' coalhada',
+  ' vegetais de raiz',
+  ' doce',
+  ' cereais',
+  ' queijo fatiado',
+  ' queijo macio',
+  ' iogurte',
+  'waffles'],
+ [' leite UHT',
+  ' iogurte',
+  ' farinha',
+  ' Refeições congeladas',
+  ' fruta tropical',
+  ' rolos/pãezinhos',
+  ' leite UHT',
+  ' chocolate'],
+ [' citrino',
+  ' carne de porco',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' água engarrafada',
+  ' comida de gato',
+  ' queijo duro',
+  ' produto de panificação longa vida',
+  ' água engarrafada'],
+ [' salsicha',
+  ' pastelaria',
+  ' bebidas',
+  ' salsicha',
+  ' outros vegetais',
+  ' doce',
+  ' rolos/pãezinhos',
+  ' sorvete',
+  ' açúcar',
+  ' goma de mascar',
+  ' manteiga',
+  ' refrigerante',
+  ' outros vegetais',
+  ' café',
+  ' óleo',
+  ' rolos/pãezinhos',
+  ' queijo duro'],
+ [' salsicha',
+  ' iogurte',
+  ' cerveja em lata',
+  ' detergente',
+  ' citrino',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' vegetais de raiz',
+  ' vegetais de raiz',
+  ' queijo fatiado',
+  ' Soro de leite coalhado'],
+ [' citrino',
+  ' fruta tropical',
+  ' salsicha',
+  ' refrigerante',
+  ' citrino',
+  ' café',
+  ' frango',
+  ' doce',
+  ' queijo duro',
+  ' coalhada',
+  ' vegetais congelados',
+  ' licor',
+  ' sal'],
+ [' presunto',
+  ' carne',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' petiscos',
+  ' Leite condensado',
+  ' leite inteiro',
+  ' Margarina',
+  ' suco de frutas/legumes',
+  ' outros vegetais',
+  ' açúcar',
+  ' pão integral'],
+ [' presunto',
+  ' salsicha',
+  ' Refeições congeladas',
+  ' leite inteiro',
+  ' Soro de leite coalhado',
+  ' fruta tropical',
+  ' suco de frutas/legumes',
+  ' manteiga',
+  ' rolos/pãezinhos',
+  ' chocolate',
+  ' água engarrafada'],
+ [' água engarrafada',
+  ' carne de hamburguer',
+  ' citrino',
+  ' carne bovina',
+  ' película aderente/sacos',
+  ' carne de porco',
+  ' outros vegetais',
+  ' Requeijão cremoso',
+  ' vinho tinto/blush',
+  ' água engarrafada',
+  ' manteiga',
+  ' carne bovina',
+  ' leite inteiro',
+  ' queijo macio',
+  ' pastas doces',
+  ' doce',
+  ' limpador',
+  ' especiarias'],
+ [' Pipoca',
+  ' salsicha',
+  ' Leite condensado',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' citrino',
+  ' pastelaria',
+  ' sacolas de compras',
+  ' Margarina',
+  ' Margarina',
+  ' rolos/pãezinhos'],
+ [' carne de hamburguer',
+  ' suco de frutas/legumes',
+  ' fruta semente',
+  ' fruta tropical',
+  ' iogurte',
+  ' vegetais congelados',
+  ' rolos/pãezinhos',
+  ' Refeições congeladas',
+  ' refrigerante',
+  ' vegetais congelados'],
+ [' refrigerante',
+  ' cerveja engarrafada',
+  ' suco de frutas/legumes',
+  ' presunto',
+  ' comida de cão',
+  ' detergente',
+  ' vinho tinto/blush',
+  ' óleo',
+  ' leite inteiro'],
+ [' salsicha',
+  ' carne de hamburguer',
+  ' Requeijão cremoso',
+  ' Soro de leite coalhado',
+  ' carne bovina',
+  ' refrigerante',
+  ' bagas',
+  ' sacolas de compras',
+  ' vegetais congelados',
+  ' legumes em conserva',
+  ' vegetais congelados',
+  ' vegetais enlatados',
+  ' pastelaria',
+  ' cerveja engarrafada'],
+ [' iogurte', ' iogurte', ' fruta semente', ' fruta semente'],
+ [' carne',
+  ' leite UHT',
+  ' chantilly/creme azedo',
+  ' produtos de manutenção da casa',
+  ' massa',
+  'waffles',
+  ' leite inteiro',
+  ' outros vegetais',
+  ' artigos de higiene',
+  ' iogurte',
+  ' iogurte',
+  ' bebidas',
+  ' pratos',
+  ' comida de gato'],
+ [' pão integral',
+  ' vasos de plantas',
+  ' cerveja em lata',
+  ' salsicha orgânica',
+  ' citrino',
+  ' iogurte',
+  ' licor (aperitivo)',
+  ' cerveja engarrafada',
+  ' citrino',
+  ' fruta tropical',
+  ' sacolas de compras',
+  ' doce',
+  ' leite inteiro',
+  ' licor',
+  ' suco de frutas/legumes'],
+ [' pão semi-acabado',
+  ' leite inteiro',
+  ' fruta tropical',
+  ' rolos/pãezinhos'],
+ [' leite inteiro',
+  ' outros vegetais',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' rolos/pãezinhos',
+  ' leite inteiro',
+  ' água engarrafada'],
+ [' comida de gato',
+  ' outros vegetais',
+  ' rolos/pãezinhos',
+  ' Soro de leite coalhado'],
+ [' citrino',
+  ' vegetais de raiz',
+  ' salsicha',
+  ' citrino',
+  ' vegetais de raiz',
+  ' misc. bebidas',
+  ' leite inteiro',
+  ' fruta semente',
+  ' carne bovina',
+  ' iogurte',
+  ' queijo fatiado',
+  ' chocolate',
+  ' fruta/legumes embalados',
+  ' iogurte',
+  ' chantilly/creme azedo',
+  ' pão integral',
+  'waffles',
+  ' chantilly/creme azedo'],
+ [' rolos/pãezinhos',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' mostarda',
+  ' nozes/ameixas',
+  ' óleo',
+  ' ovos domésticos',
+  ' ovos domésticos'],
+ [' vegetais de raiz',
+  ' carne de hamburguer',
+  ' fruta semente',
+  ' leite inteiro',
+  ' refrigerante',
+  ' rolos/pãezinhos',
+  ' açúcar',
+  ' sacolas de compras',
+  ' vegetais congelados'],
+ [' fruta tropical',
+  ' salsicha',
+  ' chocolate',
+  ' outros vegetais',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' leite inteiro',
+  ' fruta semente',
+  ' iogurte',
+  ' massa',
+  ' leite inteiro',
+  ' barra de especialidade',
+  ' café',
+  ' detergente',
+  ' iogurte',
+  ' suco de frutas/legumes'],
+ [' pão integral', ' chocolate especial', ' óleo', ' sacolas de compras'],
+ [' sacolas de compras',
+  ' rolos/pãezinhos',
+  ' jornais',
+  ' Margarina',
+  ' sobremesa congelada',
+  ' iogurte',
+  ' refrigerante',
+  ' leite inteiro',
+  ' refrigerante',
+  ' licor (aperitivo)',
+  ' queijo duro',
+  ' queijo duro',
+  ' cerveja em lata'],
+ [' uvas',
+  ' iogurte',
+  ' fruta tropical',
+  ' leite inteiro',
+  ' citrino',
+  ' citrino',
+  ' fruta tropical',
+  ' bagas',
+  ' outros vegetais',
+  ' ketchup',
+  ' leite inteiro',
+  ' cerveja engarrafada',
+  ' refrigerante',
+  ' sal',
+  ' sobremesa',
+  'waffles',
+  ' Refeições congeladas',
+  ' coalhada',
+  ' cerveja engarrafada',
+  ' jornais',
+  ' sacolas de compras'],
+ [' presunto',
+  ' carne',
+  ' água engarrafada',
+  ' vegetais de raiz',
+  'waffles',
+  ' outros vegetais',
+  ' fruta semente',
+  ' leite inteiro',
+  ' chocolate especial',
+  ' cereais'],
+ [' vegetais de raiz',
+  ' salsicha',
+  ' citrino',
+  ' leite inteiro',
+  ' chantilly/creme azedo',
+  ' vinho branco',
+  ' ovos domésticos',
+  ' peixe congelado',
+  ' farinha'],
+ [' sorvete',
+  ' fruta semente',
+  ' cerveja em lata',
+  ' presunto',
+  ' cebola',
+  ' peixe congelado',
+  ' carne',
+  ' cerveja engarrafada',
+  ' rolos/pãezinhos',
+  ' Requeijão cremoso',
+  ' iogurte',
+  ' pão semi-acabado',
+  ' vegetais de raiz',
+  ' outros vegetais',
+  ' vegetais de raiz',
+  ' água engarrafada',
+  ' chantilly/creme azedo',
+  ' Refeições congeladas',
+  ' guardanapos',
+  ' óleo',
+  ' jornais',
+  ' leite inteiro',
+  ' refrigerante',
+  ' vegetais de raiz',
+  ' doce'],
+ [' fruta tropical',
+  ' artigos de higiene',
+  ' fruta tropical',
+  ' citrino',
+  ' espalhar queijo',
+  ' café',
+  ' leite inteiro',
+  ' sobremesa',
+  ' sobremesa',
+  'waffles',
+  ' rolos/pãezinhos',
+  ' suco de frutas/legumes'],
+ [' sobremesa', ' ervas', ' coalhada', ' açúcar'],
+ [' espumante',
+  ' outros vegetais',
+  ' cerveja engarrafada',
+  ' fruta tropical',
+  ' café',
+  ' cerveja em lata',
+  ' limpador de prato',
+  ' rolos/pãezinhos'],
+ [' outros vegetais',
+  ' vegetais de raiz',
+  ' refrigerante',
+  ' pão integral',
+  ' Soro de leite coalhado',
+  ' café',
+  ' sorvete',
+  ' farinha',
+  ' fruta tropical',
+  ' pão integral',
+  ' açúcar',
+  ' pudim em pó'],
+ [' misc. bebidas',
+  ' refrigerante',
+  ' outros vegetais',
+  ' outros vegetais',
+  ' pão branco',
+  ' iogurte',
+  ' água engarrafada',
+  ' lanches',
+  ' sacolas de compras',
+  ' sacolas de compras'],
+ [' outros vegetais',
+  ' salsicha',
+  ' leite inteiro',
+  ' vegetais congelados',
+  ' pastas de carne',
+  ' jornais',
+  ' chocolate especial',
+  ' coalhada',
+  ' ovos domésticos',
+  ' água engarrafada',
+  ' jornais'],
+ [' misc. bebidas',
+  ' Soro de leite coalhado',
+  ' doce',
+  ' produtos de batata congelada',
+  ' carne',
+  ' Refeições congeladas',
+  ' fruta/legumes embalados',
+  ' Margarina',
+  ' chantilly/creme azedo',
+  ' queijo especial'],
+ [' sobremesa',
+  ' salsicha orgânica',
+  ' cerveja em lata',
+  ' vegetais de raiz',
+  ' rolos/pãezinhos',
+  ' pão semi-acabado',
+  ' rolos/pãezinhos',
+  ' jornais',
+  ' manteiga'],
+ [' salsicha',
+  ' cerveja em lata',
+  ' citrino',
+  ' fruta tropical',
+  ' vegetais congelados',
+  ' frango',
+  ' óleo',
+  ' refrigerante',
+  ' refrigerante'],
+ ...]
+
+
+
+
+
+
+
mercado = pd.read_excel('/home/rodolpho/Downloads/mercado.xlsx', header=None)
+mercado = mercado.T
+
+
+
+
+
+
+
mercado[3].dropna().to_list()
+
+
+
+
+
[' peru', ' abacate']
+
+
+
+
+
+
+
id = []
+product = []
+
+for i in mercado.columns:
+    for j in range(len(mercado[i].dropna())):
+        id.append(i)
+        product.append(mercado[i][j])
+
+
+
+
+
+
+
df = pd.DataFrame(data={'id_client': id, 'product': product})
+df.to_excel('/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx')
+
+
+
+
+ + + + +
+ + + +
+
+ +
+
+ +
+ + +
+
+ + + + + \ No newline at end of file diff --git a/_images/Arviz - Tutorial_10_1.png b/_images/Arviz - Tutorial_10_1.png new file mode 100644 index 0000000..ecfcdfe Binary files /dev/null and b/_images/Arviz - Tutorial_10_1.png differ diff --git a/_images/Arviz - Tutorial_13_0.png b/_images/Arviz - Tutorial_13_0.png new file mode 100644 index 0000000..624676f Binary files /dev/null and b/_images/Arviz - Tutorial_13_0.png differ diff --git a/_images/Arviz - Tutorial_14_0.png b/_images/Arviz - Tutorial_14_0.png new file mode 100644 index 0000000..4972ee0 Binary files /dev/null and b/_images/Arviz - Tutorial_14_0.png differ diff --git a/_images/Arviz - Tutorial_16_0.png b/_images/Arviz - Tutorial_16_0.png new file mode 100644 index 0000000..95e7b30 Binary files /dev/null and b/_images/Arviz - Tutorial_16_0.png differ diff --git a/_images/Arviz - Tutorial_18_0.png b/_images/Arviz - Tutorial_18_0.png new file mode 100644 index 0000000..95c13e0 Binary files /dev/null and b/_images/Arviz - 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"id": "518096c9", + "metadata": {}, + "source": [ + "# Arviz - Examples" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "99218b60", + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "12071e0b", + "metadata": {}, + "outputs": [], + "source": [ + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b6ca4a87", + "metadata": {}, + "outputs": [], + "source": [ + "y = np.random.normal(0, 1, 1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "fe86c6f0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "outcome = az.plot_posterior(y)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "681822cd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# rcParams -runtime configuration Params - configuração de tempo de execução\n", + "az.rcParams['stats.hdi_prob'] = 0.89\n", + "az.plot_forest((y, y**2))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a0009d9e", + "metadata": {}, + "source": [ + "## Plotting with PyStan objects" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "421e1b3a", + "metadata": {}, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5ae6fb22", + "metadata": {}, + "outputs": [], + "source": [ + "import stan # pystan version 3.6.0" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a5b44096", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100%, done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "schools_code = \"\"\"\n", + "data {\n", + " int J;\n", + " array[J] real y;\n", + " array[J] real sigma;\n", + "}\n", + "\n", + "parameters {\n", + " real mu;\n", + " real tau;\n", + " array[J] real theta;\n", + "}\n", + "\n", + "model {\n", + " // Prioris\n", + " mu ~ normal(0, 5);\n", + " tau ~ cauchy(0, 5);\n", + " theta ~ normal(mu, tau);\n", + " \n", + " // Likelihood\n", + " y ~ normal(theta, sigma);\n", + "}\n", + "generated quantities {\n", + " vector[J] log_lik;\n", + " vector[J] y_hat;\n", + " \n", + " for (j in 1:J) {\n", + " log_lik[j] = normal_lpdf(y[j] | theta[j], sigma[j]);\n", + " y_hat[j] = normal_rng(theta[j], sigma[j]);\n", + " }\n", + "}\n", + "\"\"\"\n", + "\n", + "schools_dat = {\n", + " \"J\": 8,\n", + " \"y\": [28, 8, -3, 7, -1, 1, 18, 12],\n", + " \"sigma\": [15, 10, 16, 11, 9, 11, 10, 18],\n", + "}\n", + "\n", + "schools = np.array(\n", + " [\n", + " \"Choate\",\n", + " \"Deerfield\",\n", + " \"Phillips Andover\",\n", + " \"Phillips Exeter\",\n", + " \"Hotchkiss\",\n", + " \"Lawrenceville\",\n", + " \"St. Paul's\",\n", + " \"Mt. Hermon\",\n", + " ])\n", + "posterior = stan.build(schools_code, data=schools_dat, random_seed=1)\n", + "fit = posterior.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "91fc5c70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[, ]],\n", + " dtype=object)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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+       "Dimensions:  (chain: 4, draw: 1000, school: 8)\n",
+       "Coordinates:\n",
+       "  * chain    (chain) int64 0 1 2 3\n",
+       "  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
+       "  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    mu       (chain, draw) float64 2.785 2.785 2.785 2.785 ... 3.327 2.558 2.544\n",
+       "    tau      (chain, draw) float64 0.4321 0.4321 0.4321 ... 5.488 3.126 3.196\n",
+       "    theta    (chain, draw, school) float64 2.198 2.8 3.369 ... 2.841 10.16\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:17:10.880793\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0

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+       "Dimensions:  (chain: 4, draw: 1000, school: 8)\n",
+       "Coordinates:\n",
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+       "  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
+       "  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    y_hat    (chain, draw, school) float64 -8.443 -3.189 20.81 ... 5.573 5.109\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:17:11.005066\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0

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+       "  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
+       "  * school   (school) <U16 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    y        (chain, draw, school) float64 -5.106 -3.357 ... -4.371 -3.815\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:17:10.967949\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0

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+       "Dimensions:          (chain: 4, draw: 1000)\n",
+       "Coordinates:\n",
+       "  * chain            (chain) int64 0 1 2 3\n",
+       "  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999\n",
+       "Data variables:\n",
+       "    acceptance_rate  (chain, draw) float64 5.834e-08 1.061e-07 ... 0.9978 0.9929\n",
+       "    step_size        (chain, draw) float64 0.1223 0.1223 ... 0.1496 0.1496\n",
+       "    tree_depth       (chain, draw) int64 2 2 2 1 3 1 2 1 2 ... 5 5 5 4 4 5 5 5 4\n",
+       "    n_steps          (chain, draw) int64 3 3 3 3 7 3 3 ... 31 15 31 47 31 31 15\n",
+       "    diverging        (chain, draw) bool False False False ... False False False\n",
+       "    energy           (chain, draw) float64 3.59 4.056 6.29 ... 22.44 22.72 18.99\n",
+       "    lp               (chain, draw) float64 0.1146 0.1146 ... -14.78 -15.33\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:17:10.922838\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0

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\n", + " " + ], + "text/plain": [ + "Inference data with groups:\n", + "\t> posterior\n", + "\t> posterior_predictive\n", + "\t> log_likelihood\n", + "\t> sample_stats" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = az.from_pystan(\n", + " posterior=fit,\n", + " posterior_predictive=\"y_hat\",\n", + " observed_data=[\"y\"],\n", + " log_likelihood={\"y\": \"log_lik\"},\n", + " coords={\"school\": schools},\n", + " dims={\n", + " \"theta\": [\"school\"],\n", + " \"y\": [\"school\"],\n", + " \"log_lik\": [\"school\"],\n", + " \"y_hat\": [\"school\"],\n", + " \"theta_tilde\": [\"school\"],\n", + " },\n", + ")\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "2d8abfe3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ZNUfZeq13/hGn35jqZBs/GlkLJV1j37S9impVRYN77JHG14xjozn8+nuW6p83tGfTZes4kTd2uqltoo67giAIgiC0B90x0xQ6mmZ7zAUhHpetRW9v+p+sz+n5pRUij/4HVi/nmX7PSTwTKO/b1CH/d2Eh/tIKT8w9P1vhWTI0BPT1pec504neknHfA/HW6Az27a9iaVnlh2wkPyedQ57YU4eS9/NGxkJ+rknWmMKr69B5Y6MwppMw5fdsh6gdvG7NfO9a+W7LvCgZ7RJJRBAEgZPG+LF3j4OnvrSh48YF0zwh6Rg399zK77n46b/4/6ZzwzzQo66P9eg+pjV2GHT88M7wY4PqQ/c5MeXNWR42VtrK7MR1nCAIgiAIgtB5iGd5TNaqpX0Y3WT92Sm0e5uHWYAHfZ/U6lw/L03v5LTaO4lHA1n5Ow7w+GGDp6WhvCTX4V4TBw+YnwmgFFppbZgF9YM0+3gnRpGI238b7e/iWd4aTM8pav/0eVbPqNCogJIPI8MIjWShv+fNbiMuO4Bk/ZPKcBygp4cZGcwEt1manki2dko7CoaJVlwjDdrxfWs3pI3CkTaKhniWpw9v027xZE1r/Eh1HdSidg1cIyWJ5jNjnn/UI/RYInrxZzC0I3zuYsNXTkQP9WYRdD1qr7ERr2d50jI7cR0Xhox1drqpbcSzXBAEQRA6i+6YaQpCSohnZjBx2ifMAjzo+zBLels99POi5hONcl/33Hs+lb6RxKOBrPxHhqOXl+Q6s7Pe3xzu+RmnTN62pna25TuOW3YYaXpLtkpOxPVUFM/GzsD0nEz9M+h9GZ9Q/x9+2JsXnJdjigaxb3/V+p5H6ddJ+j7db7GYPIIIlcFzn+v3ulqeSK3IWx3Xu0xH5jZ2pG0EQTDRjp6sjYzB7TI3bGa76u1jmyckWXvwskxztqCIXr5nYDFFCVurLq7onAsFcztG8dq+abv6SWPMC7oetdGdd1zsq0NQe9siFE1Pd5eiXBAEQRAEQWhPxLM8JmvV0j6MbrH+bNQiu5XW8qvR5nHaJ8wCPI6FeCMe4/RMlpbtOduilLf97VVUKvH6RqP9Ic75aeTyDfIsTwpvW9T8+YxN+Y4BpZT/0Ps3+Po4v8+0crE3ck/t4OWZltwRz/LmEvd9JoW4/r7Q50Cw8YopGoSeG5x7ltN32SyQdeJF/Qi6N9t3ab5HjXoiRXk2UfpSq2RDqDfXKnmbtdP7FkaUuUEz6KQ2Wi2kjaIhnuXp4/Msn2kvBd1qzj9N/a1RD+1G2jXuWGfz7k6yltCvXfcsn1GK7LnngMJm9Vtfl01OwZcTPM5aFUjmoa7PH1drzEvSh9tt3ZUWMtbZ6aa2Ec9yQRAEQegsume2KXQc7ejN06j1fTt6IaRJnPYJ8+SN4klJ/xc2h1joM/QyuAI2l1ObGHq/i3JfYyO52DnWGu0PuudDkDcAPzbpdQ8ecHD0iJOaohxw27ZQUJtA2azdo5Y2lACvJ6zpeUbNxd4MObOWvHSExqE+yPNthzE55f6tvy9jo+7/QWVxj+7JKZXOgWQp5QY3Hb+87OZAt5Wpy1Hu8b5rd7h39779VaM8SErgOxlB5ZPWO9Qq2RDkaZ7E22wtos8NpG0EQeCkGZEoLdpNlicZO8PaNeq8neZUfK4S1D78O6oDoNYmjuP3ZA6qg37f99x7vu75PPec+m52Nnhdxv1V6PvqyuUKBXP9s1m3rvwegiJ40f1wRTmfe0Vt77TWU0n6cLv1e0EQBEEQBKF7Ec/ymKxVS/swklh/dqOVcFxr+UY8QrvJ4paI6kFuajebVb7+TJL2u7D2biQPsQ2b13VQbriouXxbTdR25/fxofdvwHVvPu05z3efIe9PkigEnZafMi0vHfEsbw6mfNthuTNv2l5FtarOefxwOpE5APN7oLfRDdvcjdCjR6K9V/pGLD/PVNdWe2ADwV74UdqzHfqSjbTyoQaRlvd9I+WnyWp5jbZzP2oXpI2iIZ7l6SN9z47Vs3wmXTkadX4QNk9q5FphdfCtLVeijzkrh2YywJYtwNycf11GfxcKwPHj6v/BQXXs0lL8SCdhEbz4MYAyoCSP9zjr4matn9cyUdqmU9emjdJN/UY8ywVBEAShs1g7My6h7ehGK+G4XgjiEeolNMfbCqZ2o88yGe85+jOxeUY2ajEfNQ9xHPbuceqK8sJmtQlj88QMy6VnI26e4qR5jaO+77bnZXqeUd6fOHImrfex1VEz2tH7SXChPjg4CKOXs6nfjQy7ObpNxHnmQ0PBskMnk/H+tpXJ5SigNmABIJ+HJwqGqa7NGv/1d88UrcJ0XKe/QyaPubTvpdnzlVbPh/j42k4RjgRBEDqFZow3UecHYfOkIGyRy8LqQOcB8Nw3RR8DlLJ7eRnYeq1r7MyPpzabe04dW60qRfnhh536PQ3tiL6W4HW11Zs+Hxt1Pd8npxDYBkHXaQfaMUJhM+imvaK18swEQRAEQehsxLM8JmvV0j6MbrL+jEoalr6NWOSvxTYnTO0Wty3j5kFvdXsnzacat19GytcewWvBdDwQ7M0ZRlibp+3RklbO9k6NmiGe5c3FFn1ickoppod3qn7M32HAHD0hTU8TvY3ieGuZ7inMk72ZRI3w4fPEjtCW7dSXVoNme9+vhqf3asjqtd6PoiBtFA3xLE8f6Xt2mtE2q+U1m1T2m6LqTE8DY6M5/Pp7ljxRdrJZpTQH7BHB6FjTuiPN8ck3r5xJ5sWehGa9U5261uJE9iyfaa9ocUmJ88y6SRaLZ7kgCIIgdBadPeMShFUkDUvf1fBma4VVb5rXMJVlajeeuy0otzdR2Lzyu6B+c4v5pPVP875tnvJRz4vaL/V2MKHnHddz+5mOr9cnYj2SkOT9CXpGc8+t/J5rrF7t5n0htAemfjE9rTYrazXXw5W/w7b3Wf88TPbEiQgxOGj31jJ5bmezQKWCusylzwC1GdsKDxLuJeY43uuGeba3q9dOu3ngNHu+shrzIZHVgiAIq0ec8VcfExtZq0XNU06f7dqtfvevU5/TmonqPzFVAaDGsbFRNa6QopwfT+za7U1dY1p3pDk+8XamsZZ7sXcia2X87vTIR5y18swEQRAEQehsxLM8JmvV0j6MbrL+jMpqW/ombfNWWGKneY0oZXGL+bDc3lHKNX0Xpb3TzI+dtH816mEfVL8oxwJu2HjK1afnlQ/ymOWkIVf0a9LmVFje927YlIiLeJY3TlQvKTqO3hPu4cNzTgPm/NO+fJkh0Rxs7y6PpkChOa3vhiXShcmTnHtMpe0VZWrXuNEvfGXPuG1pu1ar+1Inek2txblgXKSNwpE2ioZ4lqeP9D07abaNPgcKmndTBJ7qig47akQwG3HylPP5DcdxgJ6sW/+xEeVZzqEoPbzOdD9cUc5TqHDSiHYVp52bhbxTdqRt7HRT24hnuSAIgiB0Fp2x+yYIbUi7WfomyW3WrOtGvUYUb8il5eBcu7TpQBbz5NXoOP685JygOiZtozj50MO8KZL2r7j5ym3ta6qfzQvd5AlL+fcAty2ieMyG1Tesv+hRBfh1JqfcY03eJADa6p0WOgtdFvHPbe8/vSeDg+rzinJO8uW21Puk/nlYNAf93aU6zc6q/2dng+Uej3SRzXo9t00yl79rQVErosLf4127q7hhWxU/+dPq967d1Ug5O23obRkmm+J4szXiHS4eOIIgCOnTblE7Oom02k6fAwXNuykCD0Fjoj5G8roF1TMsrzf/nD7L59X/+Tzqucl5/e+842LfNUeG1bwom1XzIFqf8PlRJuPev34+n59xgjzg9c9oTjo7m0xRvtrvympfXxAEQRAEQVh7iEZAELqEqMrHNJT8fPFqum7Ua4TVmTZIsln7An962v2bNgIee8TB44eduqekqfygOsZtI13Zql/XdJ9pKEJMyuGwOuoKO1v7mupnC1NOyrKlJaWU4+fRvY9PeL9Lcv9R+0u1Ckwdst+H43jvN2kYZtnEEThcFnFlMn8HaBOXQoCScvn4cVbOTPRrkgyYnFLeR7Z3Sn93eQQOQG3YAgAsvoT0Hg3vBLKOeseoniaZyze2G01rwK8/tMPdOL5wQf2enfXK7EbHONsG/D33ngcQT140EuK93QzyBEEQuoF2Tb3RCaTVdnHWAENDrtK5WHRT1gQZutHfk1PwhFE3nUfs3ePUU7N45vU14PRp9efCAqwhzPW5HqC8z4d3qjkYrU8A935GR+znF4vqc/qtH8efge0zz3kziI3tebdq/SPvqiAIgiAIgtBqZAdOELqEVnqh8cVrI7m+w+oc5Z7oGFPo4Va1ib6Y169rqkdSRQhXkFNYQq64sj2DIIW9yQM/LM8vv87ePU5dgca9RPbtr2KRRSXk3yW5/6C+RgpIgjKM8OvQ5paeizmsn9i8VWQTRwBcT+f+daofOZoyWff6JqOOTEYpenXlcpC80vs9NxChEJvjE6h7XNfLtMikYhHo61MbtkH9mb9H5KXe3+/fhOb3ms2mJ3/59WnjmPKik8dXWtg24CknadxNfvEOFwRBaB9ELicnrbaLsgbghsiPH1ZGeUFG0KYIM4DrWW2L+sPnMPo8iEfV0e97aUkp42k+RnMjAJiYhC/qGSnIR4bd+9HXWMT0jAq9fvSI4wvBbloL6YbKdJzjuBGBkjwzm/Hg5FS0KEqNYutvYqwsCIIgCIIgNAvJWR6TtZrDLYxuyiu0mkTNdwusbpvbcjuvZo7VOG2X5Nyg9o6a6zpuHYPyhgOusqhWAwYHlecC5RQGvAYEQXVM8tz0c0zl67n+TAYNQfcb1Ob69el/xwF6esLzH8Z5DrZ8yDy39Gp4fzbS501IzvLo8LbnuSePHjG/C/yzY0/7w2qSgl1/B/VnzPvi0A61UVurqfO3bPGXe/RIeL+gNrLWO0AG6ffAc3g2+71IOt4kksMz5pykgoLadGxU2igMmS+HI20UDclZnj7S9+y0um1MY3zUeQpBxxcK3nmJnjccUErl0RHvvD5svQuouc+xL2/AdW8+bZwbha19+D2Y5k9B99fqdTddL5t1FfD63FCvS9r9hj+71dhvSJN2lDdpry2T0o5tkxTJWS4IgiAInYUoy2OyVjcPwuiECW27TP6D0BUhQfVtxzaPqjQOLSPBc2pkw4Bvetg2NdJo77h1tG0UTUwqBVmxiLrHAVcWk7I86nWSPLco5+zbX8XUIVXXkeHwsvX7DTNQoLx/5Cke9R7iPoddu1Vu52IR2Hrt6irIOWlvkomyPDq87QsF1PuH7gEUdC7fbATM/SrIKIU8nnSDESJqfQYGBvDRj5+uy13AHXvoGg4rZnBQbebS5jP9XloyK/ybRdLxJul7045jbrOJOh5Tm/b1AY881FiKl7Tnae0291uL/Sgu0kbREGV5+rRT32u17Aq7XqvbJuoY34jBr04UA0OqGylsMxmgt9erkCejyLB5GLU5GTqb7iHo/tJYdweh94mg6+nrMvo+7X4TZc3eKbSTvCGaaYDRKU4haSPKckEQBEHoLDp3dikIMemEkMk83Fiz6tus0GX1BdAOrzV83Gslve9Gw8HXrx/zukHo9QgKX2iqM88FTp/v3eOgt0d9f/y4Gz6dyh4ZVpsHcdrCFg6RwkvzcM5h5+jHUC5j06aK6X6jts/ePQ56smpziTasooZ1D+sr+mc833M75RGWUKKtxxTy0hYqk9DfI57/OywtgZ4qAXDPMYVWp2gTjqMMO2wpBHRMuT556FAK9c7DvR8/rmTT1mvtOTzDuGVItc0tQ8H1M2Frs7ByWvnedHqo0KjjMbXp6HCuJddb7TIFQRCaTVTZldY4E1dWRr1u0vpFnW8nGdPpnL4+97N8HvU0V2F13bvHqa+1MhmgUlHK8UJBfRc0L+TtQeHMazV7uPGlZXsY9bA2avQZ6X0i6Hp8XZZGjnPbOUHp14TGaeYcWeZjgiAIgiB0AuJZHpO1amkfRidYfzbb+jptwuqbtM2bZTFsKjfJtdIIaZ7kutx72LS5Qe2tH2e0ute8MoHwRb2tzkFhCMmTM5sFsk46bREUXjoKUa3Gb9perdf9sUe8oQYLm5WCessWBydOVD1tqbcDr2OSjZMo/bbTZEdSxLM8HE+4/6y/n+t9WH+Pcr3ec+J67prCtOuePKa0AYDa0KUNWT1E5sgvna6HcC8WvWFAuRdPJqN+AHsEizieIzdsczdBc73+dzwKQaHqPTKzQQ+9JH0p8RjYJp7QcWVfo+9bM2Rtu8nvTpgvrzbSRtEQz/L0aae+Fya7onglp3k9vW2ijm9JxmTT9/wzIDj6WlhZhGkOAqg53uOHHau3NIfWhcTYKALryduDr+NoLWRqu6B1XhB6uHjbPdiuE3f8NB0/MDBQD1HfSLqvbqSd5E0riNOfuqltxLNcEARBEDqL7px5CoKBdvIIjUKj9Q2zyE7bYtjkBa17RUaxKI9630HWyaa6hMG9h23s2+9uiNBv8gqgzRTdK5MYnwiui+25FDav/C64n1EbDQ6q/5eXg9vC5EUdxYugWFSf5fP256eXY3ouQR4F3F6Lzp2dVb+f+XrV05Z6++zd43jCQyexVDeVq3/WabJDaB7UNwC3n/P+rfdh/h7xcwg6nsuHqFEXyFiEPL7HJ5QRCvd65zKIcptXKvB4Tt1z73nPRu/x4250k337q3UZVCwCvT2uktxxzN5OUTxH6B7JqyufTz426dczldMMb5YonlJJ7qmdPG9aLfuacT2R34IgdCJhsosb5KaxrosrK/XxLc66k49zpvNM46AtAs6+/dVAj/CgMZWvc5aW3c+rVaVI53OsqUP+8/m6kMqjdeHUIffaU4f8kcCGdqAekWd4p79swF0D0jovbC2pw+eAJo9vflwup+aJUT3JTYRFSYrSR00RnITuQOZjgiAIgiB0AjJTEYQuxbY50KyFyt49DrKOdzFO15p7zr5RkTQ8X9DCm9dlfALWUOJRyyOmp92/uQIMUN6Werg8CtNXP39G/Tbd8949jkdBRQQp8ek7QCmugkL0AaotaLOFNnP0Z8INHOaeUx4SC+fsCnC9nKiKKtogonzj/NxiUf2+5mqnHt7w2NPmMOsjw6q9bfcfhul9kMW8YIP6Bg85rhvI8D48tEOFKc/1ej8jTCkgdAMcU4oLwCuPCAqTTu/89DQ8CumerHscXe+Bz1Y8ZdRq3nviMog2bgcHldfVY49E3xTlG9o89OjRIw6+MG0PRR9GFOOWNIzE7rn3fKhhkE6Se5L0CoIgCEIYPP1SWnPWOGsyfXwLWnfq65uwtGNhhqx8rcIV2mFGwzoHD6h12vy86+FNBpE61arfcJjPw8ZGvZHJajW/snt6xttue/c49XswrVNp/kUpdoDgEOf639PTau4Ztk4yzW2DCDNQsJUfpY9Sf6C5rKzFBEEQBEEQhFYis09B6FJWY8Pdds2gujTkRbfilRzkiUlwy38TURbyPE8abYhwr4DpaXezhcrhee3o/m33bPrc5FnO66Ofb9u0MCnWbM9kacnrGRukAM9k1AYMefGHbYoRQUrqrdei/mzJ89z2/PbucbBli2r3Y0+7n69mruBOz1O8luH5xek57trt34gEzLnDqQ8fPOA3Ujl+3Bvqf9duN7ynaROTwp3b5AVd19FEli5nLlxQ/8/PK3li8wjn17VtStN7yI139P5uk6UkH3n49qDxKep7FEV2p2EAMz5ZCTUMSgMx1hEEQRDCaMZY0ciaLM5aj9fdFA0szJCVG2MTYUbDtnaieRgAbNniXW/19cGbm1zzhqc5FZWzb3/VYwxM9XMct234PBOAL2IZQQbYlELHZHCpt63p77k5FeL98cPhfSVOdLcgA4VGEINBQRAEQRAEYTWRnOUxWas53MLoprxCq0mcXKWr0ea2vN6N5FiNkr/KlBec8gDzvLymvGZhuchD67Zy3Vxvru6BGZa3LuhalP8uk1EKdl++4xmvsissF6Gev9x0HL/mli3efMR6juXFJW9o9GLRzb3M60r3ms8rJRzgXpvyzPENnjhtz3Ps8XrYytBzDtpynIeRVq5gXv8kedRXC8lZbs9fCXjzS1I+yzD0fN+9Pf53DPCWR+90oaAU7GSAQ2E69VyYhc3quFpNXYPk0y1D1fq7yaE+Se/wpXng3ALQ36/eZdu7Zst9edP2al0BHtTfeV7PKDJBf4/4vcd5p9J6r+/7ZA/GJysN5b5up3zkzUDmguFIG4UjbRQNyVmePt3W9+KOOUFrMr1t4pS9b38VU4fUPMW0hjLNm6OUz+v78N+rOUw+D3xhOnoe88kprxFfxRtsB0eP+HOXc4NhPp+jeR6tqWh+Ruft3eN45pmAUshfuODOi/Qc6AT3xKfy+9e5azDHATZscOdxW69FrHzjcQh7npxue6fSRNrGTje1jeQsFwRBEITOQpTlMVmrmwdhdNOEdjWhzYIoCr7VaHO+wD96xK1fnHongZfPvRsBpkSZcUOHN6KI4BsoXOEKuBsotvukejqOCndsqkfUtuJl0WZM0IaEaYOL7oUr3GmjhepmUkxzSGGon8tzJRK00UN14RtOvL+EQec7GeAHF9RGUq1qf676xhLvJ/m8CiPPlYu2ctLqx7oxRzPeiWYgynKvwQttNBYKroEJbapms8pTB/DKDMCrwK5W1ftL77BtykXKcN4/uRKaZAp/l0lxT5uzumGNviFLmL4fG0W9z2azQNbxvyc2wxxez6D+rssam2KdG/DQe20yioq6UZ/Wex3Wl6LUp9lj5Wojc8FwpI3CkTaKhijL06fb+p5pzElqtKW3TdzxLOh407w5avl0P/r8giu3g5TzBM3Djj3tzj3yeeDtN7vzI/Iip3ng8jICMRlZmpThfD7kMdrMuXNQff0bdt0486RmkvSdCqp7O9xXGnSbvEmTbmobUZYLgiAIQmfRubNLQehCgkKPrVZoZ56XLJ9Xn+n5unm9TfWMUvegY3j5uqJcD8eXOKT7Cqb8w0M7gLGRnDF8Ma83D/1uqwcPaRzUJjwXoZ4Lnl+XQkQD/txudC+kyCoU3M8mp1APIWijWLTnFaTzqE8Abmhmeh68n9ju0xTqms7/wUr46AsXgp/rwQMOjh7xhrun0Ifz8+bwhKYcf4XNwf04KqbQ+3GRUO6rA/WlgwdcuXLwgJtaYHBQbXjWam6fpvzbU4fcPjY76753vb3qPeaKcj18OinKg/o5vct6qNFazf2OZMtN2+39hs6l9/Oaqx1PmgYqT39PqD0GB9VxFKp0ZNjNh0nXNuWxpFCrhC3vJrXn3Jwb/rRQUMYAXP5GDRerj6tR362472CU+kh4UUEQBKFVBKVRChqroox/prKjruV0aN7Mw7FHWRPv2l2tp7oh8nlvmPCpQ/71lp6qC1BrLUDNA3O96u+FBX8aK5rbLS+76XIuzcPI0A537ke/Dx5wfOto/izou2IRnjkoX/9SSHZag+Xz6n89VDs96/EJRM4vbsP2bJOu+8MI6qcNpXATBEEQBEEQhADEszwma9XSPoxusv5sV3QL+1a1Obe+D7LuN3kx8/y8Yd4BUY7Zt7+KiUl7aG9TGHOjd2SANbotBKEt/CCFVOaeoYXN3lDnpmvTQt/mha57q+rh7nSvCJunBvcEJbJZVRZXrtW9sBfsIft423Cv+6Edbqg/8sig56M/V739g+7jPb8BPPP1aj1EYT4PnD6tjuOeIqYw/eRRMjgInDih7ndw0H0unqgBhjD+q+0BuhrXX+ue5UGygT8P3aOb999i0d3QzGTU+80V4YA/DDp9BsAjv0jWZTLAVVd5vay5lztBMog8oEz4wr1PA1u2OCjPVuupIXg9THLKdC96O+nX4m1s8/byRObo8cohq3fcTPwQo3Gje0Qdc5PWp35ul3lJdcs9pY3Ml8ORNoqGeJanz1roe1HGKtM4GdQ2QWvAwHpoUXminm+LisXnRzR/Arxl8uvSPIuff/hhx5Nqiq87AP8cK5cDtrzOwTNfVxMynp6KR+2h/01l8NQ2pvYJmnfpx+pl8Gvp7Wp6BnGjb5k+5599+R82JPcsnzH300bmW9ZrrcJ8ZS3Im6R0U9uIZ7kgCIIgdBYtmQ2WSqWDcX5aUSdBaIRmen3aym7EI62R+g4NwehRrcPzt+n1jFL3KB4K09PupsbWa/1lkOfj3j2O1eo8yBq9vlje4d9suO4tpz3tR+VwjwH6bG7O7+WtX5u8LKtVc33Iu7IeGlnzLqf20r0ITO1BGzzE8rLKawcoRTl5035h2vFsdOj9hbev/ryWllSdSaFHv8kDvb8fHq9R0304jutRAgCfe2AAR484qK1UY37e9RThXq/cs5f+r1aVwu3gAafedidOAKh5rzu0w9z3VtsDNM3ri5d6NGyRBwDv8yAFNXlgE9msG9EAULKQQrWTVzRtlN603RuGc3IKHtnDZV2t5hqz0DvCw8HTZvD69XZFOclwLgvofp/5erVeFkXqKBRUWf3rvHJq6pC7qQqoY3RvLX7/pjamd1OXsdRGI8N++Wl6H7g8itPHo75bcd9Bqg8QHDXERDd6SXXjPemIbBUEod3R5RQfO23EGf9IIcsNq6Ocx8cIvobU1wKme6FIULqHNUXQqlZVVJ/HD6s1EI8aRXUdnwBGR/xrqX373fkZrTsANe8iYz9Ofz/qinJApX4i9DnZ1CFzGeQBz+H15Gul6Wl/29jGW/LYt63juee5vj7TsfWJoDVUoQDf+jkqQf00Sh+Ow1qYrwiCIAiCIAjRaJXp5I9rPz8P4N8D+DkAb1r5/e9XPv+xFtVJWMM0usHZzEVV0II36cKwkfru3ePg8cMOHnvEvbap/WhhPLzTr+iIUnfTMXq9uSLGpNDi2JTvPJSvSRlvVVxXvBscurJ6ZDh8c4l/v3ePUw/5B4QYIsy4SudCwavUP3jA2248bD7fGCMlHUFeD7Oz/k0X2jAxbeh4WFHm8XCHOno4dDqmvx/1ulGYwZ6sP9w84A35TuGeudcroNqVKy/5c6B2p+9p84rabe8eN8y2HtYeiK/4SoM0N4JkEygatpQDADx9RId7kHMZVa2q3JNcsb13j4PxCf+7wo1m9u03e0zNz6P+jgBuOHhSStM7DbjGJ46jFPS6DOf3e83Vjk9u8Y1iLqdqNb884f2KpyAgL3WOLSQ6byPA/87x9je9i3HCygIwlpVEoWAizCArbWO4uLRKwbvaBketQGSrICRHjE1aQ1w5ZTMcDiqf0I3doq7TaJ6/ZYs7z+HGeKY0LbR2OPywU/f+PnHCq6jV01SZ5nCUuonul699aI0HuOscnk4G8M698nllHGlDD+jIQ8EvL9vT2NAcaHbW/CyD0s3wdTwAnyGoXh/bmG2bE5k+96RHq0Tre6spD9bCfEUQBEEQBEGIRsvDsJdKpVsA/GcAt5fL5S+xz68H8DcA7iiXy/895WveBOBOAG8E8BoAv1oul/+afZ8B8PsAdgPIA/hfAP5juVz+33pZazUsXRidFiqp0RDHaYf/SlJ27PDCIWXGCUHWqhDRFAaPh1wPDAUeUn+93qYQ4Xq4c0BtXtAGCW02BEGhhkmRpYfW48cA9u95Xbhi2HHsYQqDwubzMPYcPbQxKZMpzHRYWOqhHW6YePoB7OEGiaNHQsLoz/ifsy984Izbr4P6+S1DVc+Gln5v9IwJCjsdJ6Rku9IMmZIG7RaGnWNK6UB9IZtVm5qcTMZND7H1WnOfz+eVx5Hujc7LojzmJsMT+l4PLZrNqp9CwZxmICjkJimpHWclTcFz6jueTmHrtf40EHob6V7iQbKN14O3KRkx2eoeNO7EDSubJPVC1L4UVJfVTu/Q7Dp02lywUZLMBddaGyVB2iganR6GvR3koU439r3QcNba2sn2XGxtY5qLc4WzaQ5tS8lEawqaQ+nrNcdx51t8zsLnMo8fdjxrGZ5GBvDOz2g9RYyN+lPc0PyIUjrZwrEDQK7X9ZA3bbHRnIq3l77+oPumFFl6Wiuqk21+BcQLmd7sPY2ZB4Edt7bP3kI70Y3yJi26qW0kDLsgCIIgdBarMRP9GIAPc0U5AJTL5ScB/B6AjzfhmusA/DOA3wZw3vD97wJ4L4C9AK4D8CKAvy+VSgNNqIvQBjRqQZx2+C9b2XGsrIOOjVLfOJ4HzbLA1u+BvJLn5txjbKHATfWn8shbuLBZKWSWlpQifmlZbWhQuD/y9iaPhhvfpuoyMgz09Zk9JU2QpzXlBed12rW7ihu2VevepTwcse4J8NgjyhuA7pUwhbonyDsD8HvVT097QyPrIdz13HaZjL1PUHj+pSX1P9V1dIS1w4y6NwqPmM+ra9K1OVQ/CqFI3vwUst7a39hmlOndoWfPFeWA62Vuujfy9LClFeg0mimvuhUeUptCYdJG7PBOZeiR63WPp03R2Vn7hiBFV+AM73TDhwL2CA25nLupS3KFjlu/3uthtXeP44lEwSE5OXUIHg/3atX1WJo6pDZzc71uuous41eUT065779+DZ4uwQQ3/slm1T3RRm2cUJ9EUB/Xw7bqqRdM3/PzaDy6597zkcbjoLq0g/dSO9ShWxDZKgjJEVnUfLiXOOCP2mJaO9mei20M1OUgnwPUauayeKqpffurvshbFKGGzqM5zeCgm5aKe1lTqPXBQTcdE4eO42HJMxn/fIvK4tC1hneiviYzRewCVOqaIGZnVZ50PncaHFS/KdUOGQ4ePKCuMfecu2bldQpar8eZRzWSQiaMvXscPPWlDZHGyE6SBxIVQxAEQRAEoXtZDc/y8wDeWS6XHzR8twPAZ8vl8sVNvP45AL9FnuUrXuX/CuC/lsvlu1c+uxhKYX5nuVy+j58vnuVm2tH6M46ndLsSZGWtt3ma3vJAuJd25DJZOWHPRL8Hk2c5EO5xrntHENyjUId7l3OFMX0e6FExrTZyyMMBgNWz/IZt3oX12KjbNrq3g+41YLrHIO8MkzcBhQ/kXqK6lyddf3BQGSoUCure+D2S5ylvI72e/f3wKanpfvmxuhcH0denvBGoPUlZSfXmz1cvV3/2vMxaTd2T7iUS1Uu9WxHPcq9X9OAgPHnFCeprJId0DyLyLNLJ54GFBfN7EYV83n5esQgcP+73OudyrS6n5tRGLb1zmYx/05gU89zryuSFrX8OuG2YyajNZatn+UywJ3kacLlqK1/3aCN5qtdr+9urqFTSrWc7z1OS1K0d54LNJm47rcU2iou0UTQ63bO8Hem2vhcWUSXOXFcfA22yj+ZGgOvpzTGtd8jz21YH8r6mNQA/v+6tra1jADfC1dQhf0QgE7Su1OsIqPXT8E741rUmD/OwKEG8fqY5kGldpkPRimztFndsirqPEFau/n23vVNAel7w3dg2adFNbSOe5YIgCILQWazGztxXAfxBqVR6Nf+wVCq9BsAfAPhKi+uzGcCrADxMH5TL5fMAHgfw1hbXRUiRbsglGcfKOq5FdlB+1rTaTi+H/ud56ILu4fhx9fvECe9xtAlDv21ejnpece5RSJ/p3tXcExrwe2fzfHK0SVJZ9Ho4UH64Jx51PcMJ7lHNFbx6Hj09Xx/VTfdi0/OLh3kTDO90PVPHJ9QGFJXBFX7Vqmr3ww87OH7ce4+TU14lou6JCajzTIo9/Z7IA4UgRV82i7o3Aj+GvCn27fd6Wdjy99HzHRtV3sCPPOTmSCfvFHpmvG3FY3Btwj2iTIpyQPXhXbur9cgXus0hRSTQOXUKQA313JpBFIv+MubnUfe20j2aZme9Xue6NxfJ3uPHVR0GB933o7dXbT7zMik0Or+3xUXUZR95eWUyXu9siooxMqzOnZwyy3pbhJAoxPHo4XKV8pcG5QvnY5Zer7GRXOpeT+08T2nnurUT0k6CILQL+vjIx7Egr+Ioc92xkVw9ohQpRE2yj+ZGgN9LG/CvdyjSk74+MI31mYzrHV6/3hyM6xh+rWzEqTytO02e48vLbqQhmtvoHuwEzcPC0Ocaem52im7F16wERSsKi+ATdWyyzcX05xBWbtzrdqKXdid5wQuCIAiCIAjxWA3P8h+FUkxfBqUYfxHAFVD5xL8H4O3lcvmfm3h93bP8rQCeBPDD5XL5m+y4gwBeWy6Xf5qff+HChVqWXDOFOtlsFstRTLZbyD33nsfEVAWjwznceUfTghWsGo22+XVvOY1KRXnaPvWlDZ7vGm27e+49j/HJCra8zsE3nqvWy7nn3vO4/4EKAPN1dbZed7qutPnqU+6x77ztLJ75ehXXXO3gcw8M1O8F8B9LdRkbiX4vprbJZrP4N//2ZP065KFM/xO332a/Dq8LgHobnfhGFVte52D22arP8yGsnWxtFASdQ2SzKhz84iJ8n3/1qQ3G43k9/+krG4x1edtPncZJg8K8rw8YHc7V73/2WVX4u96p2uUzn6ugVgNuv+0iVKtVPPDZiuf611yt2qxScevO+1jU552kn+vlJ+lf7Uqr5XhPT08kS/tGxt0o96S/l5/5nHqpi1cp+UXvhd7vb78tV5dnHJOntr9eQG8P8IML/s/pPdDLvjQPPPr/emUb1VW/RZvMJEiu8Hf79tu81+3r88sE/XO6ji4zuUwOkmFUr0vzwLkFRHqPgsYuHf6Oj09WQs8LkgnNeD/oGdZqwG2/5L3masuWJPKxHeeCzSZuO63FNoqLtFE0krRTK8bdTqbT+16c8TEu2WwWr/83J+tj/7vemTOOX2EykcY9amY+t+L15vcyOpzzlcmvQ/OWTAa4uuT45jv8GM6leWDh+2otV6u590XrE16Ojp7v3Nxm8NwnGTTS/8Wr1HqG5p9UR1rbvG6z93tTvWzrzrT2QfQ+FeX58u9t7xTNcSjSEX/2qz3/0bnn3vN44LPq2ehztUbodHnTTLqpbaKOu4IgCIIgtActV5YDQKlUugjALqj84K8C8B0AXwbwVyte3c28dkPK8rUali6MbgqV1Ck00ubcGl4P9R31/Djh1H3nzthD/vGyAUQKDc/D4Okh/2x10duAworXw/lpdRwYGMBHP37aE16Y6lcouN4IpvYMCjVOeMIarpQ5NxccGpGHO96yxQ2RHvY89+2v1kMSUlhBwA1rSOGiqd2p7pmMm7OZPstmVb5ywA0xn8kAoyPwhVms1dRPsajqausjPMSzaTOq7gU642+ftELj2dDLTytsYRCtCtW8VsOwB4Xz19/dvj7gwoXgUJ2A+t7mmQ74U0LoaRdsaQTI00nvD2Fyg6dhoHyYe/c49dCmVCcug+pyd8aftkB//3W5zsOw6mk0OHpaCtt7ZBoXKD1E/bNp/99haSxs1zB9f98nezA+UUn9PQxLnREkW9otjLvMBcORNgpH2igaEoY9fTqt7xnTXc3ESyFkSidlOndgYKBuYEdrrbhzYD1llT7X8KWZMn1mqOuNb6vW09A88ahjXOfyeRKfn9nS2JgIU5Driv9HHvLPqXhqGB4an88JaS5qC6NvWwOFEWfOoKfv8aSpSiH1iG1eyr9r1louLkGphxqB9hbaaR7XLnSaLA5CwrALgiAIQmexKjOycrn8g3K5vL9cLv9quVz+2ZXf+5utKLfwnZXfr9Q+fyX7ThC6Cgo13NPjVyZECYUWFmKNwpOZwt6GhfzjodoBhIaGp0U7hU4fHDTXRQ8VzMMtT894Q7tPT3s3BW7aXsUb3qgU5YODWji/mlKu92TdsnjdKJyebXPFFAb+8MMOtl6ryg6C7qFWc0OkUxhDuvau3eZnmnXUZsxjj7jtS5w5o8IsTk65SrFcTinA6d6pnZeX3bCJlKMvk/GHWRwZVp60gFK60aZDoeC/L9pEI3I57fsd9n4UFhqP94Ekof/08qOG4mskVK+E+W0uvL/pbay/uxcuqJzkW69V/1OoTt0B79lng69ZqQD969z/KbToLUNV3LCtag3lPjkVkM5iRRbRe7Fvvyrrhm1V9K9z0zDw92Zk2L0OvYv83eLyKMsU+iPDqrwtW+BJvUDl8jCsc3P2dqCQovl88HvE34G9exwM7fCmvuDf296XqGOP7T0bn6w05T0MS50RJFvSlA1R5WEnhkwVBEHoRvQxIEkKISqDj6km7rlXbdOQcR8Qfw6sp6zS5xqAu240faaXMzmlviPfD5rP0Pook1HH3LRdjVf9/epcPr/S09jQnC+f98/tRobV/TuOeY7GHWEvXIDnPug+KZ0OhcbPZtWaq7DZTbNDz88WRl9vG32tZxun48wZ6Ni5Oe/8jpfRyHyApwfT+2y7hTmn5+Q46ddJ1niCIAiCIAjthZgvAs9BKcVvpg9WPN9vBPCl1aqU0DqavfHbSPnNqpttERp1wRa2iKVFPHkP00YF5bsNK5vgyiCbAp7qTPmxjx/3fm/Lxc5z7uoKW54DXM+XzTd6eL5wvU14PvNMxl1k83zojqOUW0M73DaiDQ8q26R819vEl6Nvxr8xNT6BuiJuYtKvbBsacjd/lpfdDSO690rFzdU3PuFVBlIdSYE2Muy2L6A+47mJeX1NirS9e5y6Em1wUG2i8FzNJgMPajfAv+niaRumaNTbOMr7ljS3eSMbP+22adQN7Nqt3oVdu6u+zUvA7QsmIxfqP7zP6fkwowTtIZkFqHfupu1Vz2emMqpV19AEACYm1W/T5iV9R9fSN53168zNRdtgrXsV7VDylstLguRJNuvKbJPhztZrlfHB228Ofm/1d4Ab4+ibyGSE0N9vLMpK2HvWjJzlgF+GkIHW5FS411iasiHq+G86jvoNKVNagSjtBUFoVxqVT1HO37e/iqVlrwIvqRGo5/8d5uPGJys+Q+u4c2BaAxUK3nkYoP6ndQYfX/iYQ+XQGoHmRI6jPh8cVPONwmb1GV/PTE65864oc7QzZ7xzu2LRNaCMmpOcGzDTOvjY06gbQ+/d4yC74q2uK6X5XIsU7UM7VHvoa2DdYNo2Tuv9JYgohnxW480IBPWdJEYfzWTvHgePPeLg8cPp16nb13gyVxMEQRAEodNoSRj2Uqn0EkJ9JF3K5fIVKV9/HQDyN/0SgI8B+O8ATpbL5W+WSqX3A/gQgF8FMAvgwwBuAlAql8ue+D9rNSxdGJ0cKiks1FejYU4bCSUWdG6abZ5WqDVjuTOo5yMDvPfiC63L/uZh6oJC0+rhh+lanu8NYd15GOGs41VAAd68w9x7gHLa2UKR033pIcjJI1MPr5zLeduHoLB0PNQwbUoALFz8tL/uFCpa/9uEJ4zyNLC0HJ6D78z8FE6/+Ds4d+EHWJfL4FylhoFcBrW+G3Hn+z9fD2lPcAU3hUas1dyQ7r6NIXavpvD5vE/q7ek4ysvfFo6ZPxs99F9QyP61ECJvrYRh3/mLQ3jiyGO4eKXvrstlUMvm8P/82X/BzuERAK6cyWSibYjm817ld5qQ/JiYNNdFTx1hkgn5PLBwzhv2nYdQBdR7GvTeUeoGDrUPl4lAcEh5uh8ub+KOj0GhZnlo96NH0glfniS0bVJMofFbQVDIW1PIf34c1VkfC5tJu4VpjUonz5dbhbRRNCQMe/qk1fcalU9Rzjcdk/S6Uca4+z7Zg/HJSqJxUF9j5HLKCJc4esTxjN085Yy+NiX0NC4cvfyonJmfwsLJu3Fq4XlkAe88MXcjfuh1n49dph5inVO/zxlXWcqND/X5UdAamNZdZFhO/5tCukftG0FzJT1NEVeg8+PpnVqttVQ7r+HWwliXVCZ1U9tIGHZBEARB6CxaNWP8/8X8SZs3ATi28nMxgD9c+fuPVr7/EwD/z8q1/xHAqwG8XVeUC91JmEVvo+GxbOVHsbSNY23ciOVulFBrSSDL8JFhc/gyW+hck6cnobcJXePgAfda3AOdew9zS3Va3C8ve8OrUVh0UpQDQG8v8PQ/bqiHESeFEV1reKc/xDunWnWt7rlXhO3Z8rB05J0/PuH11p6ddT2jdbhynP/d1+c/dnlZtRN5c3BFeTbrem8QZ+ansHjyt1DKL+GKfgeHRjfi3AevwNToRlxSPYp7Pv6LvlzNx552Iwvw/OfkscHD1XPvkb4+eyQBCr1IYQupPYHgcMy8b+mh/xqNuKAj1vTtx85fHMKXHn8Mr2B999DoRvQ7i9j7m7+JQ1PKHZu8k6PaE5oU5ab3LQmDg6oP2uqip47QvcSKRVU/LisyGdfLKJt1N1NJxujRNsj7SSeTcd8lntpi6pD73tJ7xc+hd4rON3nFhb4/lvbgMst2btx3enpabby3OkxmKz2NTJ5cNhnaDh5f3e6NJQhC59KofIpyvumYJNfVPZht3HnHxYllPzfio/rRWF0sqjqQYTJ9TusSWpsC/sg4NkwpnnR4pC9ArW+WTr0X40PnsL3Q658n1o7imyd+0VdOsRg83ysU3Gg7OhOT7vwNUPdM8yiKSra05I+yRqnFJqfU91uvhWfdzFPh0PhNdeDlhRE0V6I5H3n1c2NN2/GrEW5cwpyvLjJXEwRBEASh02iJZ3k3sVYt7cPoJutPnWZ5lDXqdaC3eSPeBJNTalHOvXzpu7rX9nN2y/K65b/lmKBrc2v6RtvZ5Jmsew8Tuiecbnm+a3e1ntdudAT40Ps34KMfPx3q8e44ds/soOgFU4f8Yf10b1XuLVAsqhDIpmtxb/KkHq/ZrKrLqZNTWPje3Ti18AI29m9Ctfp9TO6sYnjyFKZGNmJbwdWCHZmrYHjiFLa84SWrN3smo4wPyOODPMFpE43aG1D9gXuG5HpdDxM9ggDB+xR5uBeLwMEDyd/dpDKg0zwf14JneeHVrwAAc9+dPIWLLr4Ur9lSNhqhrAbFousdFMXLnby29cgWJCdIbgDuZ5kM0Nuj3i3umaT3Wd2LCHCV7HrECMr9Se93YbMrr/h96O8mf2fIE4tkEeCP0GF7tyJFjJmJ/k7v21/FzIPAjlub75nUSi/2tOpCx42N5PDr71lq7Hpt6gGWFt08X04LaaNoiGd5+vA2XQvyiEdbCouwtmWLgxMnqpHa45YhlVYmnwe+MO2EjiX6mM0jrNg8o/UoXhyah0QKt77iTb5YeQGfH1Nzw8s+8aJ1jbPp6pd8ZVyaB05a1loUwYzmQZTuimPyPufRfng7AP4IZrpXN+BGI+LzrLjrEn4dfb5mjUajfebxLJ/x94Fmv2ftNKfSkbHOTje1jXiWC4IgCEJnsWozxlKplC+VSjeWSqV3lUql/MpnF5VKpfaaxQodTRr5woHgXKpJr5O2pW3S8sgyPJv1LyL13ONBluJ6vjQTejvx/GuAv531fHZh5Zny2pH3MOD1SOBe4fzc8QmlSCeFUm+v+n3dW07j2NNqA4Y85HkOusJm1YY2RXkm47fm57lph3d6w70DfiV3JqMMEsZG1YbF4EpyiWLR67FQqynFMgAsLJjrQ+Tz7nXPzE/h2ye24pmvXY4XZrfiX7/5PizNKy+Lg78wgHzuX3Hm/Pdw/ZW9OHuhht/5uzO46O7v4tr7Xsbn/vm8+rxSw4ULqo6Us5h7etZqqu2ovpmM12O+VoObX14Locg9TEaGzR4S3OuRPCtMedHjkNSTUqzp24+zF2o4e6GGXQ+ewqV/8iL6PvJdFPe9hG+dWcbZCzW8dOp7ePnFqfCCVqBoFEmwnTs26n6uR2kweSbxMigvJx3Hj3ccJTd6NDlVq7kynND7LOUS3bDBWx69E6REdxxlfETvJ+UTnZ11r8k3r5991nsd/s6QFxTPOUo508kj3vZuhb17cd/pvXscPPWlDa3baG0nNVVIXbhX4p13XNzQpcQDTBCEdmEtyCMeCUuP5MSPqSwCz3y9Gqk99u2v1tcv9NuUb5uvoSiaT6Wi5ht8jjI+oUKu0zqL5v36eDw26q5nTDnFHUd9T+s4wOtNvrDormuqVeDQv/wA1973cn2d860zyzhbMQ+IJ+fN87lsVs1h+DxIV5QD3jkP1RHw5pPn7c5DtVPKLvLEJ+U2RUObnVXrWh7pJ+q6hLexPh81zaOS5CGn/sUjEqVF1KgJgiAIgiAIgkDEmjWWSqWBUqn0y6VS6Y9KpdKf6D8Ry+hZOfYFAI8BuB8AqUoOAfj9OHUShCAa2eiIc26S66QdyrQZCj1SRlOoa1OoXB5WnJg6ZL6WqZ2C2o4W5rOzwRs4PMQceV/ri2OuDK+XU1Pex3SPBHk/esLKVdyNjp4eV6FLSpy5OXjCFDuOG+Ivn3c9LfV750ogfWNHD+t34YL3fkkZPDurQjVns+r/SsX1ROCKaRPz8+q6fMPo3Acvx/jQOSwv/DWyOI+feWAev/PQWYz9yEW45rIsPvL4Aq7od/Cff2Y9zn7gCvznn16P3z+ygI88voCBXMZzb8vLypOC94/xCVVfMlbg4QLpOArDToYAtHnEw++T0s/23q22srpdwhULLhf1AOv7MnCcDD6/El7zwC0b8OFHz+GiHmBzPouFk3db3xluUPLtE1vx23sO1Q1rOEHvHFGt+pXFhL4pCbgyxATlvQTUu0LGQCPD3r8B7+arrSy9z1J9uAEPGevodQTc91NHl2m6zKN3BvBu4gPu+x9k4KWXY/o+jnFb1GPTTLnQTgqaKHVJs76rLbMFQRCItSCP6B7HRmE1jKZjrrna8YQAt415fOzmY76+DuNrID63MM1/AODECbXOolQvN21X1ybDQ4puY4Mr0MkQeuHk3fj0rTl859wyXrlOrWv+8pb1uGKdgwNfPY/TP6jhL29Zr9Y5j53DRVk1DzTx0kvKUHls1DVYphRfgNcgmtY0PA3O3j0OHj/soLfHXdsEpSWj8h97xPGsowDXaJzfu56OLCo8XH4zoP5Fhptpzn3aaT4lCIIgCIIgdAaRZ8qlUmkLgOMA9gO4C8C7AfwOgDsB/AcAwxGLuhvAewD8FoDXAeC+lA8CuCVqnQQhjEY2OuKc28kbKkELZ1suc8otPTnlnr/1Wvc802aFzRswqO34wpwWu7RBs2u3Ko97bAd5wvNNg6lDfo/4uTm/dzbPAUyKW15X8gKge+KbTo8fdvCFaQdHjzhYOMfqod07bZ4UCn7Pcj2UeT7vzceeYfWdm1MbJjrT02allg5tGG0r5NCbzeA755ax4aIM/urWDTj7gSswObIRn/vfP8BPFHLY/4/fx/1DG+rHbivkcN871mP/P34f1d4bUSz6N2lOnPC27+ys26e4wcXcc+6zfOpLG+qesLWaa6TA20/vO3wDT5TVgk7/xRfhFZc4+NQt3v77V7duQI+TwX+6sR+nvv9CXbHMMRmU/P6dd+DU9/wbp7QRG4ZJVk7P+HNpBkE5y0k+bdmCeh5LwKuAvmGb8hDXy6eckzysOt8IJ1nMz6OIDXQMhYAnTEp5kml6blI9Vzl5SAFemcrlRdLxthmGcN2qME6aN9dEFIMCkdmCILQLnSqP4hhv8Xu0yXI65nMPDNSPDRrz+NhfqaAeIUz3kuZrKL7e457VnFrNXTdRxBmCR68Jo1p15yKnFl7A9Vf24mNPLuDTOzbgO+eW8UePL+Avfn49zn3wCvzVrRvwR48v4DvnlvGpWzbg4t4MFk7ebSx3ft4b3Yy84MmYOZPxrvN6sv70Z9R+/DmY+qEeHY2vo+hcUrSTwj7pnOLgAbWW1UOw8z6W1GCQe37TPaU592mn+ZQgCIIgCILQGUTOWV4qlf47lHJ9BMACgDcB+CcAYwD+GMBwuVz+coRyvg3gD8rl8n2lUikLYBHAm8rl8ldLpdJPAjhULpc3JrmZVrBWc7iF0U15hTqFRto8an4wW54vPd834OZBA8yeifQ95W4LurZeP14Pnr+No+eEA1zFjZ5nlzYsMhmlWJqbcxfSlOONoHvx5FxjOdr1XO287gDqx5KnRFCO3qEdqOeI1z0reH453tZ6PSlPIMeUxxjw5jN/5muX49wHL0dvVu3kXHvfy/jPP73el6/vdx46g6+/vIyzH7iifiwALC7XsO6PX8T3Tp70tNHx4/a8gblebz/Qc+nxNp86pMqgnMUmgnIvroXck42yFnKWX/aKVwCoWfvvQ7+cx9j0OvzIm4553qO+PmDuX7ZifOic750Ym16HV285Zq0DGbg8+2y0/Jn8vYxDJgM88ajjkQ+Uj3xoyC87i0VlxAKsyMHnXLnFZQVXoNdl35w7LtB44DhKoU3wPOb6fetjhClXuek4nSTvdZz8lfzYD71/g/X9aOecmK0kSIbEzZXarch8ORxpo2hIzvL06Ya+14isNa1haHz15XOfsY95u3ZXfeuYo0f8uct912Pf8XUjzSEGB/3ro0zGO8eg9d2GDfa5FM2zvn1Czet+5oF5nP3AFbjuU9+zrn2+/GuvwMDHXkStlsEb3vQSlpa8a8t8Hjhzxl2r0JxLn9fo9aU1mt4eervSnAoIXgvx431r6YD/46Cv+fm96n1O5gV2ukHeNItuahvJWS4IgiAInUWcWem/BfAXAMjXMVcul5fL5fJnAPwpgD+LWM5GACcs3+UAGAJ3CkJnkmZo1jSJ6gVnyjEH+C3aATfvdLFoXnTHCbOm1497Ri4tuyH3eHhunnfXFCqdQ+GMs1mluCaL/b17HJ9SR8/Brnuk81ztu3ZXPXUnD3weaplyx934NpWPnTaC6l7sO5TSqlh0PRAyGW+O9Mqi1zuBt/np0/72rFb9inIAePvNqIf3e+0Vm/Dk864m7esvL+P6K73usddf2Yuvv7yMqy/Leo4FgCefX0R+3ZWeNpqbU33FpiCk6AT0npCnfH+/97i9e5x66EXeb0w56wndi0BC8QkAsOHiLAobzf13XS6Ddz9YQf+ld/k2WGs14PT5F4zvxKmFFwKvWam4RiM2smzmo19bjzjBz+Hh12s1JVt4SgmSi9xTm5idVd+/6505TzQOPfw5vTN6pBFAbXTSfVWrfllpyhtqGiP0XOXkTQ6gLit37TaHeyU5oo+1tvE3jrdg1GM71QOxlYiHlyAIQvNpRNbyubJp3kzjKuBGhzKNtRQWnEeRMeWP5tfQx1G6jy1b3HDtthQ1+v89PXZFeTbrrpX6L70L736wUp8XBq19nnx+EYWNWWzs34RCwVveP31lA95+s+vxPnUInmhq3Ktery+t0XhUnfEJ4JYhN5La9pvVdzx1Vxj68wv7Pww9BVv9OjPJ+5zMCwRBEARBEIR2I86u3kUAzpTL5SqAkwBew777ZwBviFjOPwO41fLdzwL4aow6CUJbs5oKuiBFPc/tHabMN92DSYlOGyNzc+Zr0yZIlDBrtsUzKV96euALz02hxvN5N/QdLehJqa4rnZaWUN+E0MMNc8YngHvuPY9du11Ftek4Upw7jlL4kpLetDHCP6vVlLLnxre5GyXHjyuPUMAN6UwbJXqZW6912zxisBAA3s2p3//Ih7HrixUcmatgcblmVShe/Yosbi1ehNunT9ePPTJXwbsfrGD7z94FwPv8JlmEalLu6fmV6Z4pLKJpg8vUJ2w5603eqM3akGlXgxjBzKnzSzh7oYpf+4K3//7y9ClcWAJ6Nv4p1uf9MdiHdgClwibjO7Gxf1PodcPCg9ZqbvhMbgikeyDp7N3jeGRRUB50gsvBahW4/4EKCpv9ymo97QQp4WmTmN4/Xj899QWVw6/Jw7ebUibwv6en3fJnZ93xis6legP+cUqXD81+V0UWBCMGBYIgCHbSGkO4gXHcUNkmw7WgebftMwpDnsmoOfnBA27o9qlD8ChdA+fmNTdaGODOS8LQjW45PIT7+vwwejb+Kb77/Q345enT1rVPYWMWv/aF0zh5vgf9l95Vn2c5jms4ztc7dA0yhORGiDYDSH2vgMK609qSY0s/5TlGa9uw/8PQDRt4LvWk47vMCwRBEARBEIR2I04Y9qcA7CuXy/eXSqW/B1AD8AsAlgH8NYB/Wy6Xr4pQzq0ADq2cMwngf0LlMN8M4HcB/EK5XH4o9p20iLUali6MbgqVlCaNhGYNC482MDCAj378tPUYHiKNckHrYfV4WF5buNuwUOwUetcUKp2HVQsK7Rc3LHyhoO4n47gKVmfF85iHu6PrU/lLbIOEjidyObW5Mj+vFO5fmHY8Yb11pRUPJ5jJePOL53LKmzSMMEVYsWj2onAcb3jBoHKyWbVpw88dHPSGUSa2vnECZ168G6cWnsfl/Rn0ZTP4y1/YgOuv7MWTzy/i9unTeHGhig0XObjstTfge995DqcWXsDG/k34yZ+7CwfuG/WFqV9cUnWjkP16aMaxUb/Xe7GoDAD0fhcUnj/tjZaofbLTQggG3ZdNjjcrhP1qhGG//k1vwI5Xn8T9X/s+Tl0AFio1vGbAwcnzVbzi1X9RV5Tz94ZSJxyamsTdd92BAz+dq78T736wYlWwxyW7kr/SFAXCBqUyAOKdF0T9/dOeuU3m81CkxaI3DQbvL7r81uUxpc3Q33FKjUFyzirjZ7yygGQNPb9G39WweU6nyYJmoLeRpL/wI/PlcKSNoiFh2NNnNfte2mOIXp6p/DgyemBgACO/dBqzs2o8Hh2xz8X5XN9xVH5uSuFCc4Z6+inD9fn5mYwyGi4U1Pwiam7yuJyZn8L3vv2bGOgD/tvQxvo875enT+HsD2pwei5F/oqP+uZ7+TywsBBt3UfzPMBd4zz89+7akxsL6+VSO+hrHl86r5THXFsKnqiIPLcjbWOnm9pGwrALgiAIQmcRZxb9OQDXrvz9nwD8OwBnAJyFylv+B1EKKZfLDwJ4F4CfAvC3ADIAPgXg3wO4vZ0V5UJ30wyvsEYspknhrIcBNx1j8lznIdJ4qHAKDU5h0+plGcqoE7BllsmwhXTBzdHtOK53N+Bed3LKX2/6buqQ+TnQZ8eeVnWh++EK6kzG7g1B5ZOiZWzUVczU22uHu0kxP4+6tyNZzuvKaO4NWdMez9KS2uQIIptVnuNOQNcgD0ydatW7oRKkcF+/3n/u8eOoP1Nq2127qxjYMIxXbzmG1175F3CcS/DLP34xfufvzmDgYy9iZPIUXlyo4urXXYlP/Jc/x1NfnsFP/OwxXPP6l/DqLcdQPj6M7TdX621Nz4janDaHuKKc7p3aKp9XRgh1D5RKsPdKMz0SokaF6LQQgkmiXXRTCPs7PvBhfHYWOHjrRnz3vZfjoV/OY7mWwevf+KueDVBuYDI7q96TncMjuOvue/HLX1yHdX/8Esam16WmKKdrBim8HccrVxzHleuAP9pFNqtyrQPu7yjMznqfuR61whNuvaaMb0iuzj1nDxNK7yuFfOcb3hSGlI8TFOp1dEQZBVx1lV3Gm2QBj3YCJHtX48wL9PLDzk1zztGuXu3dJDsEQVgbrJY8pUhYfO3USN2ieBLHldE0rlJELBqnSUlL0br4XL9a9aZw4RHG+PV37XZTrvDzazV1LKXZsnH0iLtmS8L6/DBe8eo/x4WlHvzG/1Brn9/4H2dwYakHr3jNX+CHS7P1+R73Dp+fj6Yop3shL3Oas/C1J3nOj40qo+2hHapPZLNqDsTXbjdt96fzirJ3EBc9BU87G76161xIEARBEARB6Bwie5brlEqlKwH8DICLARwul8v/nKCMIoDLoMK6l8vlcttbsa9VS/swusH6s528wvbtV0pH2hQw1anuWT7jWnnrXr2FzW6uXHrVs1lvjmyTRwD3NKBFcjYLZB3XWp177ZHygzB5/pFXIlnV82tyj8WerN8rnb4PgjwTTfdAbUnHcA93Cps3OOj34tat/PXr9WTtXp02T2oTFBJff1ZAuPe5Xt/LLzd7o/N6A3YPe+LM/BQWTt7t8Rw//o3het/SIxNQOdS/Fhe9HuWEqT14VADu7TLzILDjVu2Zzrgbfc30WGym1/pqEnRfgZ7llnMaYTU8ywHg0NQk7v3YR1CeewGlwibc8YEPY+fwiCeSRDty9IjrGaa/xzok6/j92CJVmCgWXQ8i/p4TXMYDrqzM54FTp9yw8gcP+PuL7nHG78NxVFoN7nnGr8OjpOh9MUnkiTCvOj4v+PI/bIg1zwmbU/DoL7bILoDfQz7JtVqF0bN8pvvkaCN0w3y52UgbRUM8y9NnYGAA1735dFM9dYOIOm6Y6hbFSzxphCY6jiJwUZoYmvdzA8MgjGu1GbUGijo/McHrQ/9HXTvp9dfXP/2X3hXbKDKXc6OO5fPA22+GLxLP2Chw7GnvfetrJj5PMEVQ49ejKDs077P1IdpjANxnEdR3Gh3Hg+RU2tFnos6F2iXqjYx1drqpbcSzXBAEQRA6izhh2G8C8NVyuXzO8N06AP+mXC4/nnL92o61unkQRtIJbbssVup1mWmPTV2uEOnpia7Y4otqwFVw87IoBG6QsoHC49Y3Y2b8YfP4YpyOKRRcBQsAj2JTX5j7rjvjP4+Ou2FbdAtxCiHM60ebMFyxT8puHgo4KTaFc65XGSw0sgEUF1K62NpMf35J0Z+7Hno57H3iGzp6P6d+ODaaw6+/Z8l4/WYqh9pJLrWSVm9MrJay3IaedoFvvAaR6/Urk/v6vJEv0iCqsps2iflmcSajvJKefTb6BjLJEtu7qm/yEtQeuoEVYVIS65u3gHf80OWV6b0Pkgm2d9oz1mb933tCx8/Fmx/EkYFBcozL8qNHAhQgAddqFd20udkspI3CkTaKhijL00c3RDallUoL07gUZdyw1S3KvDjp3FlfX/I1APeqJoNZPT0VR1dOj42ajfLSIo7iPA24YbZu6Ne/zjXCtqXs4sZzpvkXN64G1G9uhBBmYMefJSnnm7mmCpJTaV836lyoXQ0MBZduahtRlguCIAhCZxFHWb4M4C3lcvkpw3dvBPBUuVzOWs7dA2CyXC6/tPJ3ELVyufznkSq1CqzVzYMwkk5oV3Ox0s4KsSiLPVOb03m0+K4v2FlZQW0epKS3Wf8HecRRG/O81cM7leKclDmkGKG8tDxfLnnGc08Bx4EnHDDg9wDnyiv+nUn5n4Q4HpqcKAo4k5ItjY0euja1N49cYCPIs557eNKGENUznwdOn1bH2bz9gxTqUTwum6kcapdNlFazlpXlule5yTO7E+jrU1Edosg2ek/5hiunHgXEkqtS3zwH3DymfBzSPaVMXk28PKuyeyZYaR0kE2xl63nXw7z5bEr1pESRY1E8y9uFbtrcbBbSRuFIG0VDlOXp08roGI3ONfW6RY6mEnKM7byZB4Ef/mE1BpPhdRSD4KRrJh3HATZssK9LbLRaWU6E3Tf3LDeuVVkUNFs0tscP+9f1Yf1Kn++SYXeSfORRCPUsn2m9oZ8YGLY/3dQ2oiwXBEEQhM4ijrK8CuDNFmX5TwD4YrlcHgg7d+XvIGo2pXs7sFY3D8JoyLN8pnmLlSCFeCsVYs1QzAeFTA7z4raFX4uyWLZ5BQZ57RE8zDpH98w2eWoCXgUtYPY8JA9K0wYF34yIu3nS1+cNCR4WXl0PR94oFBY5yFsjShkvveRtg95e10vBpGAbG1W/daWh/syCwjDqZYSFtuRtu2qGNDOrv4nSataystyk+O10yPDGZPRCsjsoxYUeIj3X631fuRJ367X+iCC8bN3ohdqbvM/5hns+DyycU9fiG8n0WZJ3Mo63nu37mQddQ4S05VKzjfdaZRzYTZubzULaKBxpo2iIsjx9Wtn3bOOO1eM8pgyPU06Uzz/0fjcVSZw5kz7faER5TYaMUQx+Vxt9XZTLuWHsad5ki6jDowbw9RKP6JPJAL097tqdGzDw/4NCq4cZCtaPbWD+IPLcDm+bdnbiWA26qd+IslwQBEEQOotAZflK6PVtK//+AYBPAXhBO+wiAD8PYKFcLr81/Sq2F2t18yCMdp3QRvFUa4VCrBmKeVubR7kWzx9uC79m22SZnFIL9OGdZg9DPXycKTy7vsnBN070MOoEt9Dnudmibpg0sjmTzwPv+LkcHviscpWM4p1Nyh0ecq8RmuHpSl4JgH3ji9r6xrdVPe1n2gSy5RzU8+vpIRf1HIZ6jj6T0YeQPmtZWR5m/NLpcIU59/Tmm9e9vd7w6sWi34jGJjPIIEaPEELySg/Jrm/UmjCFKI0SYr1ZG456eN40y9bH4NXK49ko7ToXbCekjcKRNoqGKMvTpx36nkleJ5HhccqxreP48V/+B6Us50bXg4NuepegaFQcff0QJ+c5YDeobneOHnE8hoL8nvWoNbZw+6aw7TS/4mnF+DorVBE+40+Dxecejc4f2uGdaleobaKm5VlLdFO/EWW5IAiCIHQWYTOxfwdg78pPDcAI+59+fgXAywB+y1ZIqVT6RqlUesPK379XKpVe03jVBSGcoSHXKltn7x4Hhx92WqKEC6rHal5reVktlE3nTE6pRTZtiABq4V2tqvOOPe29Jj+PoDbeei2UBFn57PHDTl25ArhK7FxOhZndu8f7fS6nrOOJ/n61eNeV1Y72KB1HKW1yOb+iPBOwbMnnvf/PzwP3P1BBtaquNz3jtoWN+XnVfnEV5dmVuBrFovfzWs3btkkoFpW3KTE4qNqR+gBdm+rB+wRvr2zWVYg5jvp/aId6dkePqGeXy7ltP7RDGQ0Aqm337nE8faZaVUq1fftVg1J/JO/16Zno97hvf7V+T6b/BcEEly+dgv6+BsHlULXqvvcjw0omjI6gPh5SW8zNKUMVXna16n1PCZKJJGfJ8IDk2PKykodTh9T/NDaQ4RGH0m0M7XDPz+ft4xptCJOc0P+3sW9/FTdtVz9R5UOz5g36GBz1HnRs8q6VcxBBEAQhOUNDagxcWvLPi+PIcNM5/DM+XujjeVAZtP7p6VFGcTTuk8c0YZuXDO8M/j+MdlSUm9aU2Szq6yFa01J7mowDKovuWojPNfgz0NeGgGp/SoVFTM9E6zN79zh1hTwpyvW5R5RyZK3VGNPT7t8yTxMEQRAEQVhd4oRhfw7AULlcfjruRUql0gUA28rl8j8E5T7vBNaqpX0Y3WT92W7YPMyozfV8plE80vR8Zaa80Nz7nOet5d6XR484xuMfe8RbD1M4OVOeOz0nK7d4B/xe1aS0pfzng4PAiRN+j+fDDzu4YZt5AZ/Lud6Nuqe9DcdR15qbM1v5p4HNgyAJPF85PQvdq8ETUn/G72VA+eOpvQGvlykQnFuXtz/1G1/ePM2a/r5P9mB8shLLizNu7j7BZS17lut9sRnQe5hW6NCo6Sv48ZmMJh97gXXrgJPz2hgy48oAUzoNguQgyWjyLAf8ESXoXC4zAHPbx/GwTpK3FfB60kWRD81+P8LC2kdhteVdu80F2zGsabu1UTsibRQN8SxPn1b0vShyKYosD5pzR8EUHSZo3OFesLrXM+D3LNdzdtMcaHDQH0rcmnprzg1d3u7Q/ebzwJkzai6kR8YyRUSjNSVvK9O6nKOvj01/x1030T3wOV3U8TOov4o8t2N6p9plrrLadFO/Ec9yQRAEQegsIs/GyuXy5iSK8hVOAPitUqn0DgAZAG8tlUo/Z/tJeA2hAxDL4/iEeZjR4pp+R/FI0z23+bH0jAYH1aKXFOWVRbWAJqv2YtH7PEeG3eP1ehQ2q8/6+5XCu7JoDtc9O6uUquTpxy3rqc7cY3l4p9qIqNXUxsPsrApFx5U55JnBP+N/VyrupsXysro+WeiPjZqt+OlaQzvUMeRdnSZpKuGpfcYn1LMwhTycnmEbeDvcxTp/9j1Zr4d+JuPtA3pfBNzvyVuft6feD3XPjDvvuDi2F6fuAZHEG0fk1NqjFZtT9B5GhUeBAJScGRt1ZY1eFslZDn/vHj/s1MOvE5VFpSgH1Ht7y5BX7u7bX8XSsromyV26drWq5AKX0U886srpQkGFBeVwT3J6zwAYo1EA0ccz7hml/2+DommQF3sc4sqIKBEvuPxM6sGelgd50vu7597zjV04ZZJ66AuCIDSLKHJJl+VhY0YU9DJ0b3LTuGO6Lh0HqDGe5ianT3uvd/y49//eHnf9RORyIZ7iNeDyy6Pd32pD93X6tFpjVav+iGB6VDIyepybg3VdbsL3rGqWzxm2cZ3PHWdnVVnHnnbX6zzyl412il7TiWs423PrxHsRBEEQBEHodCJ7lgNAqVR6PYC7ALwJwCYoD/GvlkqluwEcLZfLf2s571YAfwNgPdR0Psi6rlYul1NWO6XHWrW0DyOq9edqez21Gp7XLU7eZe51AJitxO/7ZA8e+Gylvui2eQXq5embIPqx1vzlhjrYnie3nCfFtE1JZLKop88B12vcZJ0/Pe3N0cbRvTjJ44F77QXly+V1SMMTlDz0o+ZYbxbkja9v1nCvc9uzB1QYZcpxrJ9DOcu5lwvPz5d11KbM3HPevmjyOgdWz6p8rckpQjzLk16ldeje5BzaqNRlDPdQinKftnylXCZMTikZMLzTPK6ZokbEHT8Ar+d6FC/xZkaU4H2JytfzjMatH+C2941vq9bHuyceXV25E7f96Pi+PuCRh9pHZibx1mq2N3o3eUs1C2mjaIhnefq0zLN8Jpn3L5fJcT3LeRk8yleQJ7Ges/yjHz/tixoGhOcrp7XXaq+B0iCXAxYX/em9CD5P06Ot8ahq+jqVr0/Jm972bG3R24LG6yj56oPuOe5ciuo4NprDr79nKda5jdBJa7gweRP3Xtoxmk5SumkeIJ7lgiAIgtBZRJ5FlUqlnwXwFQCvAvBpAL3s6wtQ+cuNlMvlBwFcCuCHoBTlvwhgs+XndbHuQOgo2snyuBWQBXncvMvc60D38iML4/HJimfDYeu16rdunUxKC5MXg8mSmZ5RoeDmtbXVgazRCwXzfQPub/IaJK9I8kQgRbmeJ5wUuvR76hDq+WVvGXLvyZZ7vFZTZRO0iTM7qyzmuUe5DXp2jUD1s3mD0jF6vnV+LmHycgfUuVzJzI/Xy9A3d8ZGlcepnheP0PtI1lH5jU3nHDygvErnnvPnWaScerOz/r5Iz17vA6vFWpNTaxmSZ7r3TyspFs3vvwmbPMpklPHPsaeV8pZDUSNu2u5VYJMX9+235Txe7EG5KmkjbmTYNf65aXsVu3Z7vV94/sVsFkaPGdt7Rpvpuuc6YfK0aTSihKlM/bN77j3vye9KXvZRPJdN9SPo3NERdczoSLQ6R7mHpNjGdht0f6PDubbyhErioS/e6IIgNJMkcsk0ph084ODoESdyCHaKprK0pMZZihpFinP6jGQfRZah+cU7bzvrWU/ycUxXlFPULUCdP/ec+lufn5iwrXXSJul1Mhl3LUVRyChKzdiomh9RxLEtW1CfY+pR1XTD5dnZFQOGgnfNaoKPU6Y89Lt2V+tr5rC890NDbn1pXqj/TjKXojpOTKUTKi3q3KKb1nBx70XmL4IgCIIgCI0TJ2f50wC+XC6X31MqlXoAVAC8acWz/BcA/EW5XH5NSBm9AN4P4K/K5fK3Gqv66rBWLe3D6Cbrz6SYrHn37a9i6pA5b1nQ+YDZm5xbGI+N5PDfPlPx5Ic1WR2bPNiiEGaBzkN5k+W8515m1IJf9wrUc6PpOdrovrn3Ad+Y0AnyZgg6LymkfD59cgrfn78b8+dewMb+Tei/9C6szw/7jqfNIpP3fFBdgzxITdeg8MZ6f+MekITurenz5NQ8vwGvp2hQPuEgb1Fbn7AhcqW1rEXPco+HcI/aED71vSksnLwbpxaC3+00oHyd/eual5OzWFTvNPccos+GhoCvfc3BM193hQ2NE2HvtykyB5cNlL+87i1l8XbRxz6u0CfZFsUj3VSezetd//6m7dV6JBTKqa57j1MUkyhRV6KQttdzmt5UScsaGBjAdW8+3TFeXSaanTtUxrVwpI2iIZ7l6RMnGk0nenB6oj1lvXnH+Wd8/WCC5hDcU1r/Xv+cImw1EsXnzHyy+Zkpilk+DyycCwkDH4F8HlhYMEd0Cys7mwXWr7fP/wI9y2fs+wSctMbiKH3eF71gRu1XpOFZ3kke41FJe6xrdP7STnKtm+YB4lkuCIIgCJ1FnFnQ1QDGV/7WF9BnoDzHw1gG8J8AlGJcVxA6Am7Ny3OxPvaIU/fCjXq+zeuAWxjfecfFHq9hbnXMra/pnDiKcn4t7mEOuB5nPOf18jI8VuyAWsgePGD2XCf4pkVfnzcPHlfCBCm8gxRMaSvKAeCqq5SifOnUe/G5Hedw7oOXY3zoHJZOvRdn5l331GzWDa+n5+iz1ZV7VnOveBPkxQC4kQv27nF8/Y2eIynTq1Xg2WdRl+KkBOf1NFmlc09RUz5h6nOFzX4reJ4L/eABp24McePbvF4PgtBKdu2u1qNTjAwrmXX1VerdHh+yv9tpQhEX0lCU26JsPPuskgP0PVeej0/Aoyjv63NzfdP7PT6B+ntq83Ih7/ilJTdveG+P+m5uDp6ydu32vu9cjnA5QwZDXL4E1QHwR1IxeSIFed54xlQtKkatFh55w0ZQ3te0vJ7T9KZqpKxO9+pKmi9eEIS1Qzt4cEbxtDXlKc/llMczrQPI47xWc+U2zec511zt1NeTNIfQc20TpjVPrabka1KP7jPzyednvb2qznydNT+Puud8I8zPq2hlNFfatdudhxDZrOuBzslmgS9MqwgBY6Neb+6xUWVoaHrGYfsEFMnNcYLz3hP8O9txUfo8H/+pjnfecXFwA4YQtL4UvDQ6f2kHuSYIgiAIgrDaxJlJvQh7iPQfBfDNsALK5XIVwLNQodwFoSOxLSL5AjHJYsMU7ta0uU7l33Pv+frn2axXER5F8W67LwqnCyjl0fHjqqypQ+o4CqVHIduI2dloIef37vFuCBAXLrh/c4UJETVMMYdvivAww40wOwssnLwbn741h22FHHqzGWwr5PDpW3NYOHl3/bjlZbuy3rYxs3DO/du2AZXPq7ZY1nK12zYPTM+flD+6coogzxIObabx52Dq8zxsMg/9TIoyUsLxEPt6f6G+yPt4HNopDLDQvtBmLr2nN2yr4pH/Gf5uNxPHMYcGjSL/bPKmVlPvHn1//DiwaHHyuXBBvauTU17DJm6Qwz16KOzowQMOerLqOHrPuXzQjaRsIdS5cReFMuUhY21jmimcvm0sNilzR4bVZ8M73c/oOiSvHcccTj4KVH8aR5MSpIhOU8nbSFlRz921u4obtlV9xhOrjYwfgiDYaLXiLkgeRVlr8rGHG66SspvG1CwzTqNyjx93y3Ec4HMPDNRlu64UNa1XdMhol9aRYehrpShrLxs0tzl92vs5rUUaSQPF15c24+j161W7Du/0XouHTgf8huYmo2RTuhi+dqfnO7wTHuPpoP6iGy2ajotiCGcb/5OMq3xep68vhebQ6caOgiAIgiAIaRBntvk5AH9UKpVuYJ/VSqVSESq0+gMRy7kLwO+VSqUfj3FtQWgbbItIvkBMstjQF5i26/AcYKYNfiDZYofKJc9ispAnhWytphauZCk/OKiua1Li8DynQR51Bw+4HgZcQcTzp9GmwuCgWXkcxMKC+/eFC8HeA7lc9M2SUwsv4Porez2fXX9lL04tvBDpfJtSq3+d+p3J2EOonTljzvl37Gn/Z7qnAOAq40gJRRt+vP114wvAv5lGnwX1eZ67nhifUNd0HDdXux69ICjPnd6f4nqOCgLBZQ8ZjTT6bjcCebjrG8mZTHikCZ183qx0pzzbYVE3yAOM5+I0vds9K97juhda/d2rKdk0Pe2Vr1ypzY3AAHczdO8eVwGfyfhzcpreebpHiqRikkv8elQGl2V6+TTOvuudueBGiwCNo0mVsd3k9UwKhbCoK61Gxg9BEGyYDENbcb2waCJhnsG1mj3PtV4W/c0Z0SKd62ORzRCajKqLRTUXuGFbtb7WCUOfp6QxP7Olt5qfT+5hXqsBt9+WM66H6bP5ebftvzC90la9qk14NBydMEN8fe2eRNlNuemzWbUeW1o2r80amX8kGVfpHD7/E5pLN80xBUEQBEEQkhJnJvSfAPwjgMfgepE/COCfAXwNwEcjlvNhAK8A8HSpVPpmqVT6cqlUeor/xKiTIKRKlE3sRiyr42C6Di1oHQcYHc5ZPezGJ1RIOJMC1QQvl29yVKtq8UxhvLkX8tycN684h3sO2hbI5HX87LPquluvdb/bu0eFEn/sEafubT0761Ww6JyZn8K3T2zFM1+7HN8+sRVnT0+hv997DN940Y8/vzBlDYWsh83b2L8JTz7vTQr35POL2Ni/yV7BCND1azXg4b9Xm0q6Ar9Wgy80IqDahzwLTG3PlVuU/65aBU6ccD0Zxka9oZR16LomYwjAv3HIvdF5v5qbU/2pt8dVDvI+Qn1/dNivnNL7U9RQ8IKgc/CAg//rtw6h/NWt+KevKjlwSV++Ke82ocsdHj6U5JMeFrRWi6dQLBbdKBW5Xq/X09AO9c7xkOy33+Z/zzIZ1wttyxZloHPsaWVAdcM2N3y9HlWCNssp1QLfxD1zxt04rtVQT9vBQ77bNneHd8LoaaUfR+H0+Qa+aSzWw8Lb5CYvo5FQoqRwp3E0yFOsU9m3v4rr3nI68r2YDOXaAfGsEgTBRhL50IicjxpNxOYZzMceX1k1c1n03eCgOY2Xfj8UJeTY02p9wOcrtZqahwDu50FpZzIZd36iz5eaNT+j6/zLP/nnZUGYDAk5xaLb/hRanY7l8yPClE7t2NPwhMvX+wIPu64bO+j1CpoP0Xr/+HHXQFFfmzVCkvfGNP8TBEEQBEEQhGaTqcVM6lsqlX4SwE8CuAzASQCPlMvlv49x/l+FHVMul381VqVayPz8fBOyIHc+AwMDOHv2bOzz6iHhhuLl024W229WSoBcDp5Qs42Q5j1S/Si3HKAW4rxcOoY4esR+zX37qx6FN903fZ7JqEUqlU+f07XDxEcmo3J8z835PaX1emaz6lqkEKf7IuV/EJTH7tO35nD9lb148vlFvPvBCno2/inW54cbPj7t801QW5mUYsWiUmrXal5lC6C8NU0bT+SFPz3DcozPuM/hhm3upl2u1+2fQe8A/46UZEsr4eD14039ft/+ar0OdA/1smb8fcQkV/btr2LqkNsW/L54mWm9v2G0mwxrhKRyPCn5fD6SH08j427QPR2amsTdd92BAz/tvse3z5zHhaUaJoYvSe3dJpohN+JC7waXv7fflsMDn614DJ/GRr1yxobjqA11LuPpnVhc8o8RY6PqfV1a8o47NhlggssRfQM/7F2kYwqb/bKWj382efTRj59O/L7za1N70fibzQKPPdJ6+dGM+Ukr5W8n0mo524lIG0UjSTu1YtztZJrR9/h4qyue04KPW4B/PN21u4rZWbVmWDjnn7vzscA2l6a20WU9X0+khWm+1Iz5WdJ5WV8fsLjyTEeG7cbj/HnzNtaPLxZdQ2bAv0ZOOq5GnhfNeOckjrOy3pxRBhAUkl/fc4iCyHM70jZ2uqltoo67giAIgiC0B7GV5Wudtbp5EEbSCW27ba7aNskbIco9hi1m9U12XdGgKylJuawvvmmzhD7XF+N1BWvIwlo/j6Mrb00bMaRQ4ZsFjqO8Fz2bAytK3DBl+bdPbMX40DlsK7gekkfmKhiePIv1V/xX34aH7fix6XV49ZZjwRdb4cz8FBZO3o1TCy/g6tdtwrnluzCwIdpmTTarco7rcOOCCotA7jgq7xyh91O+CcbbPmhT7sa3VT2KrDBFkX5d2kzLZt0c5yZjCFu/1/uiCZtcsZXdjPc3jHaTYY2w1pTl17/pDfizt5rkxhmcvbCM/t4Mak4e+Ss+mooyOw250yj0vulGSMWi2gwlAynAv5mbzwOnTvkV4Lp88hji5Lyy7OgRV14BrhdZkg1YnbB3kd8zKeinDilZTBvDQXUYGBjAdW8+nfh9N9WPUp3obWiiGYY5acqvffurmHkQ2HFr5xsONZNu2gBuFtJG0RBlefo0o+/pY89qzBVtCm19PRhkvHbfJ3swPlHxGHzxNUixCLz0kt+AN5MJN67ma6qN/ZtQrX4fkzurvvnSyCEHjnNJ/bj+S+9qaH4WZV5WLAZH98nlvOty/TtaW1EfIOPwiUm3XWzrGVJUcwV2nPFVH+Mj7TfMeJ89X/Mn6b8iz+1I29jpprYRZbkgCIIgdBaxV2ulUqmvVCq9rlQq/Yj+E7OcTKlUurJUKr21VCr1h58hdCPtFu4yKG9pXOKEhA7L5cXD3FI5lO/ZFGbt6BH1oysheY7QXbtV6HWiWIQ1xC1BofYyrNhMxhtGVd8k6e9XC23KyUa50AGlHKCwvYOD8NQHcOuhhyLX88rZ8tidvbCEcy/9ti+kXhp579bnh/HqLcdwzetfQunfHMMbrwvfrKEQxCZFOaA2TSgPIs/Prt+vHkqPchwvLHjzuptC31OfpjIpF1yhoJ7L5JRd2cxz/VLOwS1bzOHxwt5tqvPcnPn7IOKGGGwm7SbDhOiU58xy4FxlGec+eAX2/ttL0INT+NbzvxkrNKeNZuZD1+WwDXrfZh70f/74YQfDO9X7PTHp3/hdWFCpEwB4cnNWq7COlYcfduryO59XMohvOvf2qPOjhvkMGpfD3kWeRoRkXHblPnp6om1A69eIM08w1Y+HyA2jGbm005Rfe/c4eOpLG0RRLgiCsAIpJ/Uw3FHP5eOLabyJOgbR/EBfT9GcgI8Ftrn0+GTFk68dUGP/1mtRX3NSChhOFEX5uZd+G/ncvyKTqSGf+1ecOf8943zpzPmT9bXXq7cca9iQMWxeZjLopfmW47jGwrf9Uq7+P2/j/n5lqMCNE03R2fT0V/QMDh5w0LOSCixormTrB/oYH5YGxvTsh4a89yoIgiAIgiAI3UzkHa1SqfSaUqn0RQDfB/AsgP+P/fzzyu+oZe0B8C0A/wfAEwBKK59/vlQq/U7UcoTOZzWUW1GJsjEdtEmhK7inp815oIHwDXhaqC4tKWUz90SL03ZcmTI761WGmDZMdEjJceGC+1lvL+r5rilvGmd+3h/Kt1pVXos3bVcbCEtLruU8x3GUVyJXwGezwBOPeu/ZlkN8cz6L9X2LmH/xQ5GOT5r3bnbWVf4Cqg3GRv25zk1eBxzKAQyod4PalDw9TVC+ee7dzfMGcyhH3tQhV0kzOqI2veaeU/ULU1xRv6ZnYlN2h73bvJ/FNUxpJ7nRTnUR4lEqmOXA1ZdlceiZH+Bz//sHmBzZgHMfvBzjQ+ewdOq9DSnM05Y7HMprHqYwpw1ZLsP7+vx5NE2b24uLqBt/DQ56vyO5AsCjHAeAL0wr460vTDsehXWxGDzemOSCbVyue0vtsCu96Vo84kZcZbH+vsdRYJtkRRz5QXUtFOzGCXER+SUIgtA8+FowrqzVxxfTeBN1DDp4wB2HOTSeAF4F+C1Dyjh61253nNnyOvV9JuMqgGnspzGpsNktm4xydQW9zvyLH8L6vkX8xc+vx9kPXIG/+Pn1eOU6Bx95fMFzXFrzJU7QvMxx1Np03/6qxxCZ5lu9vagb3N15x8V4/LCDxx5x6nOeo0cco5f94KA/YlrQ2iuKstrWD/Qxns95wvoOzcEA1O+t2+YKjTpGCIIgCIIgCN1HnBnvpwC8CcAdAH4GwHb287aV36GUSqX3AbgXwCdXzuE+k0cAjMWok9DBtPsCJcometBCM+qClG/yA14vbMrfvXePsiwPU7byNjW179Zr1YJb91QG1IYJhUavVNS19XK4Z0I26/Vs51bwTgTJQopZ+ltXzhSLqFvTE9kssH69P5xg/6V34d0PVnBkroLF5RqOzFXw6188gz/4iX586pYNyFTnQ49/94MV9F96l6+etvbSoc0MwM3tFjXLheOo+63VlEcnPTObIoOeya7d1brxRDbrKoD08/btr9bD/VK9TBso+maMqQ9Rv07iJcPh16f3Y3zC2+feedtZo4xod9khdAb9l/nlwO4vnsYHru/Hx55cwH3vWI9thRx6sxlsK+Tw6VtzWDh5d/LrxZA7SQkKFZrJKFkxdUgpyInR4VykDdBaDXj2WaVwN12H5N3bb1YpNN5+s/udHmmlWHQNjGwKhIlJJRcmJt3PbONymLcUEK6sDhs/TTQ7sgSvB9V17jn/fGIty8S1fO+CIDSPNGRLI2OEfq6pLFv5fJ2ge6cTNA5zhTcZzJGSl4/1J76hzuXGdoCKlkVzeH48zQnOnAm+z0x1Hp+6ZYN3vrVjA/b/4/cjz5f4nCYO6y67C7sfMszLXnFXfZ1qSwV24YJ732/7qdM+4wLAb8DY2+s1rubY+sjePU6ospqMFAoFcxmA36gwSjQemmtQZDn9/jqdZkTsMSHzFBdpC0EQBEEQ2p3IOctLpdJpAO8pl8sh2YNDy5kDsL9cLv9JqVTKAlgE8KZyufzVUqn00wA+Uy6XX9HINZrJWs3hFkaSvELdkOs3ao7koOOoHUx5rLNZ4LFH3PzemYwKez03B4yN5PDr71ny5DOnTYpcDkANvvbVc43zPHL8HMJxvDnFeU5VnqNu67XePOd6PvIkUA5dKqOvD/jhH7Yrg87MT+HUd34T31+q4erLsvjA9f14549djMXlGtb98Yu45vUv+47n+fGC8t4Vi8D/+T/qb32TCHDzyIXlVrcxNuo9Nyjnrq1dMxnlJW7qh43mpuf1aUbeXD2fo94P9fboBtnRjqy1nOU3bKt65MBAXxb/8U19+MO3rcNFd38XZz9wBXqzbhWVLHkJ17z+paTViSV3OH19ZtkTBy7Px0bdnOSUN5z+BqIb+gArG+5z7vhmkje0IUnvLD+Ge3pzuFEUlRElzyZdK5tVXl9RZRWXK6bx09SXguRho7LSlufWNJ+Ik/u8maxGjslOGw+6KQ9ns5A2iobkLE+OTT7zNk1TtjRj7hyEPg7rY68nh/WMMpI2kc+j7o1+3yd7MD5ZQX+/q0zP5/3pt+LyzNcuw7kPmuZbL2Jj/5UN5Sc3ra05jgNclJvCif/tzsuu+KG7kO1NHt796BF3rKa85Pm8SmVDimn6nOZ2pnDvcYiSmzxO/nI+/9BzttP9RaWd5XnUfZxGsckSW9u0Wl60kqhytZ37TVwkZ7kgCIIgdBZxZl8vAjifwjVfBeArlu+qAC5K4RpCB9ANuX55DucgC9mgXOjUDiblBIXfnp52vYcPHnDqiwsKY15Z9C5kh3a45VK+tBu2Ka8+Cg2ezXo9pukcHjqc10nPS8vzn1MdyAOQrOCj5NC1wcPEj40CjzzkGBXldA/r88PI9lyKv7stj6d//TK888cuBqDC6a2/2G9/w3OOh+W9m51d8SDQNpPIu3pk2JsPNyqO4yqK+LMoFNxndsuQ21+oH5io1YJD+FEkALqezZvb5EXO39FmWOHroePputdc7fiuT2HneVQDjlisC1HJ571yYP0V/xV/9TXgyFwFV78i25SQ6XHkDkdXlEeJdsHp6/PmxZ6egSfSBP+7VlNyYmxUeYhTbk4bJ04AYGPF0JD3++kZs4cc/94EjR/FYrjc4WMsyTvydosiq/btr2JxSf1dKHi9tEim3HOvfwocVK9GZaWeY50ICp0et190A90wlxQEobVEkc9pypZme7Dqc18eDh1wPY71e6LxhMb4bBaekOPz8+769s47LkahoD6jsaZRRTkArL/4Fcb51vqLX9FwfvIgRTmg5j7f/4F3XmZTlPPxldJt6XMjmrdQ5C9aR8/Pq2dA4zZ9TnM7W0qrqATlJg87hofRB7yKcqobn4+1E42u+VqViiauLGmVx/tqIHM2QRAEQRDanTgzw98D8P5SqbS+wWseB/ATlu9uAvAvDZYvRKAdFEqrmSszzfuPs6ChBSg/ntqBckiTAjYsr+r4ZMWjOOXnUb2Gdng3Mubm3PxqRDbrKiMA5cme6zXXny+qTSHvajVXyXvT9mpduR1nA99U7vgE8JM/bX5WXKE/cNnduH3mvCec3u0z5zFwWfLQybZrAcrbfGlJeWhSeOGxUe9mQibjhnLn7ZDJuN7oN2yrKm9GeMMTA27O9/EJ1I0dKGy7vkljC7+3d48K38dz3OvKKlM/Nr2jzVrk8mvR3597YMB3fTIY6OkxW9t38waDkC4L57z/r88Po2fjn2Jseh2eeXkZt0+fiR0yPUzWpaHMdBzgqqtQlxlRuHDBjV4RlPeSmJiExxBLz1HOqdW8hjd793gNpWiDmBuMTU+Hp3I4eEAZ0Rw/7nqKR5E7e/c4nnEuyjnT0658n5tzU2nMzrp53Cem/K53JqW6bgiXVFaacqzboPkDGditJSTvuiC0P+2w7uREkc9pyha6HuUIt7WDqZ2itJ0+99VDfZ844Q/DzaExZMsW1Mfnetkz7t+0rqvV3DUrN7JOQtDaLSzfeTPR16OjI6ivj6kd9Egu5B1uMu6enXWN3IlGU1oRQbnJw46hORw9Z26oR/Ourdeqe996rfq8Xd7nTlnzxZUlZPS5tBTsjNGJyJxNEARBEIR2JzAMe6lU0oMKvxnAAIAvAzilH18ul0f1zwxl/hqA/QD+CMAUlHL85wC8FsB/gQr1/plo1W893RKWLu2wlZ0WKolCllKYc8Ac8op/BpjDwMYJ4cXD4lHo7rBz9HpRKG7yAMxmV0KzP+cew59voeAu2kmRzkN56yFnh3a4udIBdVzS0MEEhXv/zgvvw9LC/Th7YQnrL+pB9pLb8apNn/CEofufD/4YLsp8F2crNQzkMjhffSWu+pF/jnytqHXVw8qlAYXR08MfAt6Q94B6/j1Z+I4jBXhQqHXqD7RJoNeB94Ug9u2vYuqQqtfgoDeUcqOkEYLY9F6FvW+tCqnXjayVMOw/tOm1cJZ+gLOVGi7KAtmsg4VKzScvGpV7zSSTAXp7gMWleCHTAXfco1QaBA/TboPGCB6ec+u1XkU8pQ6hzzIZ4IlH/WkU6Pxnn1X3YApDyo+NM1+JIgf08Z3CouopQLLZFW+7ldQnpvrZQrfHoRVhN+NcI0l9Om0uuBpIG4UjbRSNTgrD3inpEhrte6Y1G/8/qB1sqTeipC3hYx4AzzoR8K459Gvb0nkN7YBnHB0YGMC2nzpdN8KmuuhrHr7WG+jrQbXnrejFc7651LP/8mO42PlufS7Wk83iXKXaVvMtWp9SOHrTMzLtKdD8KpNRx5nS6OjPkqfaoj0CwJ/mLDQlTYzj6+fMuM+Zp1mjOZneb6P0SWJgYAAf/fjppqSs6fQ1X5C86RSZ2Sy6aR4gYdgFQRAEobMIU5Y/GqOsWrlc3h7lwFKp9D4oT/VLANDk4fsA/rBcLn8ixjVbTrcoy9NeXHTahNaU39O0KElzIxxw231pSS2Gg3JT6wpR0wLVtlAPe750POAqBjIZ5ZVGC/VsVv1/8C+nsPi99+KvfyGH66/sxZPPL+LdD1awYdOfRsrpRuFwv/PC+9B74W9w/9CGejm3T5/G/PkaFqs1DPT14FylF5dfcsF3zMkLV4QqzHVldBBp5Njj98Y5esS7mWKCb4Lw44IU5Tp1xfmM1yCCiNK3wjbuGqHRctf6JsFqsBaU5a+8/HJcelEN9w9twLfOLOP3HzuHT92ywSPbejb+aVts0qaJLvNIBnH5Mzbq/k/5NQsF5ZG2vJL6YHBQGeMsLXvHMH1M1TfPuREPAKt85EZMXGlN41HS+UqU/J38/6EdqBsSkVGbNWf5DAtrOpN8XtUKmRfnGknq02lzwdVA2igcaaNodJKyvFOUWo32vaBxhecIN7WDTQFpU6JHqQNXeAP+cQ3wrgkJuj5XpHMjMsBsHPedb70PvT9w13ofeXwBB58+71nXvfvBCl5ayOKyi88lWu+liW7wF4SnTWbcZ7hvfxUzDwI//MNuG3GDeL19af0W9PwB894DHZPNqkhxuoI5rP9FwXSO6Z5NfZL3F5rz5XpzuP+Biu/YoOutFYLkTafIzGbRTfMAUZYLgiAIQmcROPMql8tvox8AjwK4jX/GvnsXgCNRL7qiEH8NlEf5L6/8fm27K8q7ibUeAonCzfEcrqaQZfyzoJB9u3ZX6+HHKQS5KWyWHnK9UFCbFPrxPKyYKder45hD0tZqbp40nhtNhyuVuTKCH1+rqf8vydyNv/6FHLYVcujNZrCtkMOnb83hxW+q0OYUVpjyt52Zn8K3T2zFM1+7HN8+sRXzLys39aWF+3H/0AZPOfcPbcAlOeDcB6/A1MgA1vX+wHjMxc53PfU3hTKO412pK8opl3dQXl4dx3EV5bwNgPBFbW+v2ph5+O+9uQGrVXO4Y1MYQno+hx926uGKeRh/U6hHUxqAZoVVTyMEcV/f6uU0a5cQg0J6/O777sTF2WpdxnziHxbwqVtcefOdc8u4pOcH+Nbzv4Fvn9iKM/NT4YWuEnHzRuoyr1pVMojCpxaLSp5QiNGFBdRlC4U0r1aVIruy6MrbSkWNOfqYOjTkldN03vSMug6Xe/yeuNHP7KxXUT497YajjPt+Rsnfyf83pa4wYUofkXRe1Yo8jnGuIXklBUFIi7Wy7gwaV4DgdrCl3qAxM5tVY65pjcnXoZQWqlBwU3LRGJVdiSBDY+G+/X5FueO416exk8ZjDq2B9u5x6uuUpXPetd6Ds+667tAzP8DvPHQGL55bQH/PWey69uLQ9V4r4HOfIPj8gVJwUeqZp760AXPPuW3E21jHtl415Znn/WfffleZvrzsn9Ps21/F0rJ3fyBq+H9OlBDu1Cf143h/ofqNT7opbEzzCZlrmFkrMlMQBEEQBKHdCPQs55RKpWUAbymXy08ZvnsjgKfK5XKDWavan27xLE+bTrb+TCP06Q3b/ItPW4g9bnFN3nn68SYL7ulpoH+dUnoUi8C/uy6H8YmKGyJ+xhselyClBIWY1T0Ms1l34U6KDgrD3tsLPP3ly3Hug5ejN+tqPhaXa1j3xy/hmte/5LnWmfkpLJ16Lz59a87nqfmt538D5z54haGcF5HJAFdflsUzLy1bj7nm9S8b2z4ONu9zx/GGKwyD2oyenSmUXhQvBUB5onOvAx4Kn7z9uSdDf7/bB/SQxZygSAmmOqdNGu/VasqVtejp0O2e5Vs2XYFT31+qy5iL7v4uzn5A/f25fz6P3z+ygPvesb7tvMy5xzfgengHhVA3Rb0IgzysdE8WkzyzhWzX5QqF8yRPdb1c/Vp6aHi6FgCj5zo3cNLTmlBIUyB+mgmT/FotedSK8Oxp0clzwVYhbRSOtFE0OsmzvFMI9fRcRVkclJaEr0ODvIpp3C0U1DrUFwFmzjxOV1x9pwcKT07Xf+Zrl3nWcTTPOvTMD3xzrN1fPI0/2rYO7/yxiwGku94zoc+l+OeAG7qe1op8TZjJAFdd5W8zOv9D79+Aj378NKYOqblKJuPOSXib0/yG5jKmSHIEj35nW1fyOVfQuqUZaxpr+rqVe6W+lOvNYXyysmY9pIOQsc5ON7WNeJYLgiAIQmcRZ8aaAWBbOG8CEDmocalUen2pVBovlUonSqXShVKp9G9WPr+7VCr9bIw6CYKRIK8z/TuTx1lcuJdfJmP2+ubXIotrOtZxXKvx7TerenEF5+SUOp6U3LOzylK7sqhC6nHPAd3jcHJKbQ7Qol/3MNyyReWxI09DwP3/wgVgY/8mPPm8d2fgyecXsbF/E4pFr7Ji4eTd+PStfi/0hZN3Y6Cvx1jOulwG63ozeOHUMgZyGeMxA7l4awyT5zlgV4ZXq97vyDubfussLyvlSy6nNorGJ5SSh5ieVr/JQ4R+6/T1qd8jw95+sHeP8mh87BGvFf/hhx18YdrB0SOOUVHO+3ZQpIRmK8qBdN6r1UQ8HbqPU99f8siYqy/L1v/+2JNqE9ckuzj0zraS8QmvTCMPb44u84Z3xvc+n51VcmFoh3p/d+12xyNeVjarZJapfP19n3tO/SZPdZI7twypjd/+fq8sOnhAybejR9yxjEfboPuk9xNQ7WHy4pqedr+bm0MsD512kl/tVBdAom4I8ZE+I3QDqy2Lh4a8awUOjZeZjNerOJtVXtD07tFa4vhxv9L34AG/Jysdb1rDAO6akq6vr/VonmWaYx14xwZ87MmF+rFJ1ntxmLQEC6KINz3MEFqfUzmOu3Y3nQ+4EWmeeNQblYZHAaM1c62mIgRQtK+pQ6h7hRN8XUrrSiKb9a/lgtYt5LVeKJjbgCIT8LVsmNw2vQ/8Xqkv3XnHxeIhLQiCIAiCIHQMgbPWUqn0K6VS6XCpVDoMpSj/c/qf/XwJwH8D8FiUC64ow78C4FUAPg2AB766AGBvkhsRBA4pl00LY31xl4ZSjG/wP/GoV8nJoWuREnZ4JzyhXqlu4xOuxTb3IqAwd/m82vwgD2d+P7oSVVcQ68qeuTk3jyzghn4n+i+9C+9+sIIjcxUsLtdwZK6CXV+soP/SuzA7q7zPiVMLL+D6K72x7K6/shenFl5AT//tuH36tKecd0+fxrt+7CJMjW7ExTkH5yo13zG3T5/G+eorPWXalOHZrGrbOCHZMxlvefm8Ck2/tKS8LG0W+LOzqs9wAwZCD+dLmwS6conXM+sAGza4ivc4m8t0LPV72vixbXqFbVgkubZ+bCuVzc3YiJfwd93Hxkt6cJbJmPe9pR+/9gX199dfXrbKLiKbBRZXvJlNqRGSoMtjSmehp4QIkmmmiBmTU0p+2Ta4HQcehTSxa7crR3gYTT7G0fhGn3H4+04hQTMZf+hYkpvz87C+t6Ron5tzU6cM71Sf8ZQmNuVBUMoSqp9NbiQJXZoWer3azXBntRVGUREFbfvQKX1G6Cxa/Y6vhizm90jK2JFhb1oSwB2jn3jUq6TVw64HEWRkPj0NXLoy78lkvHOXXbur2Hqt+ltf691avAi3T5+2zrG+/vJy4HqPY1v7hZHJqLmQKRoO4I7zhc3ufGJk2J2LZTLeSD26QXWhAFz3ltOR+iHNZTIZb32Wl920M3z+pxtAj43CMw8D/Ib2pnULn08RvG/RGpavZcPkdtL3QcZmQRAEQRAEoZ0JDMNeKpVGANBW606ovOUntcMqAL4OYH+5XP5e2AVLpdLTAL5cLpffUyqVelbOf1O5XP5qqVT6BQB/US6XXxP7TlrEWg1LF0arQiVFDYFHYa2zWaWM9pUxEz0caxQodGxYaGwdPUws5Q8H3AWoqa48nBqFdePXtoVry2aVUpYU8NksUBqcwv/+yt0oP/cCNvZvwvafvQsH7hvFLUPVukLjzPwUFk7ejVMLL+C1V2xCtv8u9A/4QxN/+8RWjA+dw7aC6459ZK6Csel1ePWWY/jOC+/D0sL9OHthCRsuyuCXfuwi/NnPrK8fNzxxCmcrNQzkMvXf56uvxFU/8s+R2zQKY6PKir9W84cz5pAinW9o6GH8KKx9PYSxKSTdSuj948fVORs2eEOp8zDsRK4XxpB5pneAhyTu6Qnv22HvkR6uL+j4sNB+jYStjCpX1mLI9GbQ7WHYf/d9d2Li/r/C4nINvVklY3ozQF9vBucqNWzOZ/EHP9FfDwnKZVcnoodi5ZBHUlDKiExGGUPRRqjtPdbDuprSjBC0Cc2vGSg7ZtIdqzlR5AY/5sv/sKEl70e7y7Og59JOYTPbtR3bqY1aRdx3eS22URLWehj2Zrzj7db3+Hp2eKc3VDcP023D9O7R2jOTUdHF5uaUgTCN18WiGsMHX6fWh19/7gVsvGQT+i+9q56WJijVC1/rDeQyKF6aRfnkMg6NbvStD/m6L8l6z5ZeSz/miUfNay2e5gVww8pz9PN0j276PpMBenuirXf4M9DTegFq7U/PpL4fkHAdRtfT+wGdx5+lvpeQxhxMf6fadWxeDdpN3rQT3dQ2EoZdEARBEDqLwBlquVyeLJfLI+VyeQTA3wD4Nfqf/dxWLpf/7yiK8hWuBjC+8re+vDkD4NJYdyCsKbiVc5Blsu6FxmmGx6jJItuEKQQ8hYmdnfWGfquHSqsBx55Wi0sKi1vYrKz6h3a4Clj6zRXwRLHoeqH3r3M/Kw1O4ejfvRd/9tZzOPuBy/G5Hedw9O/ei9e/YcITrn19fhiv3nIM17z+JfzwNcc8inLuXWDyQv+VB5UXOgC8atMnsKn0HQDAt/6vy+uKckB5GJyt1LCx/0psuvolXPP6l7Hp6pesGye652VUjwPypMwa8v7q8A0M27XPnFGKbQD1cHrjE643AA+9T8+a2pZb+Ot15OET6bnz8rilP1n3jwxHCzUc11sg6Pgwz4JWeJS1m+el0J78ySfuwdlKDS//7hV4+XevwN/sWI/Xbsji0OhGnPvgFfiLn1+PDz96Dg987byKfMFk12riONFCqmcyXtnU3+96S+mQjNBDe3KuukrJn8kpeKJW8HGsbgyzw83lydOMmOqoX5OHiNXr2MzoDkFyg+6xsDk92RLVm0qvV5Tzwo5J05OrU6JuyLjQPnRKnxHahygyay2947WaP6c1H2P19gryNp6cctNPUbhsnu5kdhZ4+UV3fXjuA5djfOgclk69F2fm1QLTpigH3LXeNa9/GT3r/j1m51U+corkQ+vDX//iGfzXnxvAuQ9egbOVWiLD6CiRxGo1NRcaHPSGOSf4Om9+PjyajG09o0d6C4Kn26I9C1LC88g5XFHOyw5Lu2W6HvWDffuruGm7qyinNszlvAb/zZLba+m9jYp42wuCIAiCILQPgZ7lzaBUKn0TwEfK5fKBUqmUBbAI17P8PwL47XK5HDPTZuvoBEv71aCVnuVcEUwW16ttmWzzLNe9ak0eu1OH1KYDDwdO94WaOT8a93LTvQ5MXoK5nNdrgNA9wX/+gZP4X/+6hLMXlJV/tfdG/NTPfh5AuCEAwb3QN/Z7PRGIF75+OaYsHgbrX/nnvuNNFIv+Opk+42QywOiIuY304xzHvBlEC3yTR4DtWPK6PHHC9Wafm3Ot9W3W+7pHaFC0gTjE9RZoxLugkXNX26q8Ea/4TqTbPcsBoPCqV9Rlz6Uf/y4cJ6PkXV8G/+41PXjf9evwi+On0Jszy67VhKJY2KCNVt0LikcgIUhW5vPK4KdW83t8h8G9kUg20XhGHuSAK/9I5tFnfAM4amSKVr2TJs+ngYEBfPTjpxNfP6k3VVwPeNMxrfLkWm2Z3QlIG4UjbRSNbvYsXy3v03bre3wODfjHUxqH+Lg/NmoeW2n8XFxSYz6PvsbXG8Ui8NjfBkcKA4BvnvhFOItP1D3Dq7034oe2fN54H2fmp3Dupd9GtVrBucUarr4siw9cryL50Ppv09UvpddwFhzHvmbj8HajNX5fH3DhgrcsPSoc4Hrmm6KMJZ276GupRt4P/qzTWlcG0W7vVDtBbSPe9n66qd+IZ7kgCIIgdBarMRv7HIA/KpVKN7DPaqVSqQjg/QAeWIU6CS0gDavZvXsc9GT9ocqbQRxPLcoVp4dgD8uPTvnncr1q46KnBx5Lcp7jnLO0BNxz73ns2+9ujvT0+BUdlE/N1kY8x/jPP3ASX3txGVMjystyanQj+nEUX3r8F+u5zqLAvdBfveWYUdm0sDSA26dP4/cfPYdr/+JlXHT3dzEyeQpnKz2RlVPkSU/09anNCfKiN1GrKWWOju6lPjrij0rA8+KaPAL0Z6TnLN96rfJmHxlW4dp5XA2b9b6e417PgZ6UuGU0cs1O9iiTPKvdR88l63H79Gm89VPfQ3/OceXdyEZ87cVlfPzoOSwswiq74nJmfgrfPrEVz3ztcnz7xNa6VxagFNVRPMYJk6KcInv09Sn5f8M2f5jRpSWvvBwbdRXn8/NKto0Mq3c1Tn24rSWNMaQ87+lRv8nrnLzXuNfU3j1O3eu9HkmFQSHi+TtI7+T4hNrATkrY+G7zfGpEJiT1popyXtgxq5mDXRAEIS7d6n0ady3Mx0u+nvDF5mNMz5jbj8avTMYbfW3f/iqWll2D7ePHgVPff8GYY/zUwgsAlKK8H0cxNepdM37zxC9a61XLrKsr1m8tXoSd11xUz1W+sDQQqT2CMM1fxkbd0OZAsKKcvLv1dqM1MFeUU1kUNSybdc+nKDsUieem7e5cRo/8FhV9LdXI+0GRy2hNC6Den8TDeXXoVnknCIIgCILQiayGZ3kfgEMAfg7AtwG8GsALAF4F4GEAQ+Vy2eBL2x6stqV9uxLF+jMtq9lm5zElgurL87zGzREWdhxgznute9QH5YujevEcZ4Bfmc49yy/7xIuYGjF7e//4W14yKmpsueLGRt0wfza+/v9dicsvuYD7hzbg+it78eTzi3j3gxX0bPxTn5LK5FFJ+bl1j3ndIz/Ii4C8BGiDhRRIehmZDPD0P4bnqyXPDlMeQd6fqOwk7wLvC6Tgos872QvaVP/VtipvlaxpF9aCZzkADL5uM5a+f8Yc3WLyFNZv2IT1r2o8T/mZ+SksnXovPn1rLlTGmSgWlWFNHG9vHZP8GxsFHv57v0zleTh5HvJnn/XKeYpiAsAzbvF68jygjgP0ZOPn2tQ93Q4e8OdYP3ok2XuZZD5y3yd78MBnKwC8srfd4bI1zJO/UVZbZncC0kbhSBtFo5s9y1eLZve9NNbCN76tilrNzcUNoB6pjKLE8PGJxoDCZuWRXigohW5hs6vY1dEjjwFez/KgCGHkIU7zD9Nc6Pbp03hxoYqBXAYLSwMo/dg3ErUFh9a9fI7Ao4FRmwH+eRFFdyNPccBtRz4f0r3I83lgYQEYG8nh19+zBMC7dtBD53Nv/rRodP2X1vrUhshzO9I2drqpbcSzXBAEQRA6i5bv9JXL5QvlcvkdAH4KKg/6pwB8BsDPl8vld7SzolxojLSsZhvxVI1jMR1UX55zNWqOsCD4cSbPNcptzj3PbXYu5GlYKHi94HgdvvPC+/BC+VU4tfA8bp9WOeTOXqgZvQjOVmp1pUoupzYGiFrN75UNRPO623DJZbh/aAO2FXLozWawrZDDp2/NYeHk3b5jFxb81xkchCenG3mUVyoqxKDjKOXPyLDraa57nNdWusHcnFLEkEdBoeDd3DDdI0F96pYh16OTwg+TR8FN26v1XPGFQmPvAs9zzw0oTP2mkzwE2tGLW8/x1yltKQRz/BvP4WzFIu8u1PDmn/DmKSeZqmPKyc1ZOHk3Pn1rLpKMMzE7a/ZCok1dymWey/mPIUzjxNQhs5c6z0cOKPk695y3jLFRpSinMZCPWxySUVQ307tN3mzZrFkWkpEXoDaoqV5k3GTyIkuaFzzKueOTlfo4rCsi2lk2cNkq3kuCIAirRxoymMbkWk0pzm/YVsXEpBqbHz/seIzett+sDGwri2qtQ+N6ZVHNMUyK8kwG2PKjd+HdD1Y8OcZvnz6NRahwMNY5VMWdMNCayDQXun9oAzb2X4lNV7+E0o99I3Q+xetmY3EROPa0mhvRHKlQUMrzahXo7XXXZ3o5lFKLPMWrVXXeTdvd+dDWa5XhH18TLiyo7+6842IATHG9Q32/pBm161HL0oCP8UnmI7xPNmuO0O7zJEEQBEEQBEEgWqosL5VKmVKp9PZSqfR7AHYC2ADlVf4IgP+3lXURWo+uOF6NhVMchVxQfWkxyT3x0oIvVOmahc2uEnd62g1Z6zjeRfvYqNosAJRyQS8LUIry3gt/g6mRAZz74BXYde3FGJk8hXW5DJ583rtr8uTzixjIuTsKQzu8SpZsFtiwQf3NNx6GdihldhA8BDzBQ/x52mSH3wtgdlbdEz2ngwccZFfaQs8jnnVcJQ9RLJrD4h9+2PGFeB/eqcLem/or9SneLtPT7oYJbbrQ98ePJzf4IOUS4WnzgJCL7aKADnrn212J025tKTTGQJ9d3h058r88ny8u+kN5AuZN27FRVybHkXFxqNVcDykKb06GPno9dWV5JuONSJLPe8NxTkyqfj4xqb7nCmtA9X/Tu0Dh1ItF9/6zWa9BEx/TuHwkIyYuG+h7bgxA17SlPQGiv6cmGRx27thILlJo9nbbFOaytZPTYgiCIHQ6achgMhTj0b1qNf/Yxb2a+dhlS/FF9PYCD//dKC5k34iRyVMY+NiL+J2/O4Nd116MfhzFd154HwYC1oy5XlU2zZHC5kKZjEp/FWT4l82Gp62p1Vxld62mFNt8PUdraPo+StnVqj8NDK0vTYZ+fD7A5zi0Xj/2dPqpUPgYn2StYgr1n7ZBoKyhBEEQBEEQhE6hZbtlpVJpK4CvA/hbAB8GMATgF1f+/jsAz5RKpWtbVR9h9VmNhVOjHr3cSzvuZkfUxabJy9zkDUBKWFqIF4uqjrQBkMmosij8HIWlW1q43+PR/YdvW4fJkY04v1ire5lzL4Jq7kZP/bhn+fBOVwnMNx727nEC85w7DpBft8m40bKxf5Pv+GNPm8vRlROksCHGJ1D3qKCNC0D1gbqiJSTQZLGo7md8smLsr9SnqF0yGa8Xn+N4Pdqr1WgbJab+QhsvjuPNNwiY+6TJ8GI1FThB7zz1VTI0aDfaXZkvxOONb7nJKO+Kl2ZROXO/R87RZikpkAH1Dg4O+qNOHHva3Ujd2B9dxgFm5XtQKgtd5nJZT2XR2ECK9N4ebxkLC8BXn9pQ90bjG+9U7tioK8MWF9U7rG8Sk7yfm3OjnwzvdNNGLKnopB4ZwPOV67JBH/u4wj2IRvN4Bp175x0XG8d9/bxG5jbNkNONKmfaYewQBEFoN8JkY7NkJxmMjY54P9fHLhqbRobhGQO4kTE3riOl7uIicMO2KpbPfwmTIxvxg7teiad/4zL84dvW4f6hDVhauB/V3hvNa8beG1FZBE6ccOcRYXOhq65CfZ5g8xwf3glfpJswKD87MTfntgmRyaiw6AcPOJ75HBn+0VxHN1bO5dR5QfOBoSHXQJF7rlcW1TwtrX7Bx/hmrFXS2K9Jo14yFxEEQRAEQRBaQUuU5aVS6ZUAHgLwA6hc5QPlcvk15XL51QAGALwDQAXAQ6VS6YpW1ElYfVZD+UQLSsCvsAxbhDVaX9tiM4637dCQP5Q4oD47flyVX6t5Fal67vCzF5aMFv7LNWABN2B44hTW/fGLGJ44he87N2Cw9Pn6BsL0DHD6tHvNvXscj1IJcK3zSVGsf0cbNx+/98P4FS3E37sfrKD/Um8IZMDNJa6XM7QD2LVb5bAlIwIduvf+fhUOjzwoAfszIcXM2KirVN/yOvWbvPoJ6lNfmFabV1ddhfpxe/c4ePywg8ce8W7CRNl0MNXNtvFlIyy8f6sJe4faoY42xCOzuzj0+Wm8uFDF8OSKvJs8hddfkcVjv3opzl5Y8kXQGNrh3aQdHHSNljhcBvVf6g9japNxuZzyrAoLRUqe4yQHeKoHLuuprsM7Vd5zMgrSPcWDxrPtN1exa7fy8N6yxVturebNb85lqy53yKhLDwPOFew0XiwtwRO9RY/6EUfmxSXpufp5aRnltQOUI76d6iQIgtAOhMnrKPK8EQUgGbPZIp2FjWl6BJfhncobm8Z523rx7IUl/NCWz2Mh410zLuAG/NCWzwPwRrAJmwtRHnDd45szPgFktNvQo/3okKKah2TnIdIB7/UoRDug5iW0fqPrk7FyNuvOVagdr3vLaU+0M/LS5nMm3Zu/GWNqM4z509ivSWMNRcbvpvREgiAIgiAIgpAWrdr13wvgPIAby+XyQ+Vy+QJ9sZLD/G8B3LRyzG+1qE7CKtMq5RMtAnft9oZ/NeUFD9rUCMpfHMW7QFfU0udBG9H6NbnnOIeXefb0FC6c3Io//L3Lcf2b3oDT895V5cZLesyh8/p68ENbPo9NV7+Ea697GT/8oy/hys2fr4ec0z0JqR4L59zPikWlACEFtq5IopDBAPBn+3ciu/FPMTa9Duv++CWMTa9Dz8Y/xfr8MHR4zuBMxqv8MSnITczPu/UxKTX4MzQZVZz4hjp5bk6VwY/nf3MFEIfnVg/bdLDl8m3knWmHPHRh9RfvbaGVbLykB1MjG3Hhw6/Ey++7Av/jtkvrspBD3kN8kzOK3FmfH0YPk3G//EW7jKtU1Abgxo3BZR572vsekYKcfnR42PTJKe8mYy6nyuIpJnSjHvKC0u+Xj0OkEOe5vE3RPiqVlSghTHHPw4P3ZL0hT8OifiShUc+kKOe3o5xOCs9F3y51EgRBaAfC5HUUed5ovulGlKO0/jxxAh7PZDLaG+izrBdzGTzztcvRW3sO61/557jm9S9j09Uv1RXlOvpcSF/v8bDmNAcxGQ5euOD+nc+7EdNscEV1JuPOZ3iUIEDlJae1Hxkf0DOjdToxMqxSe/nCs1fM63iaNxaL8Hjz6wp3ulZcQ/64x5mIs/8RhTQ8wIPKiJrfXhAEQRAEQRCSkKnFiWeVkFKp9BSAQ+Vy+eMhx70fwM5yufxvm16phMzPzze/wTqQgYEBnD17drWrYWT7zdV6zjaA5fWacTfpgRULe+2zsDJzObX41f8POp5CTQ8NefPJheU/1++Dk+tVIW2PfWUKy/PvxcF35HD9lb148vlF7PpiBRhQmxLFInDZht/FFz7317h/aEP9mNunT2Ox71fwqk2fqJfpOH7lS7HoKk36+oBaVV2Xwu0FhQzO54EvTDvYtbtqVDSRhwA9A1ICmepRv++VPO5RFeaA2qAgTwGO6Rnyz8ZGchifrNT7B/9uacmtI230jAxHy2dPRhBDQ+7xYf2JoLYsFmHM3xt0jbSIWtckpCFXmnnv3Uar5Xg+n4+05dXIuBt0Tzt/cQj/8uUnfLKQe0eRnKP+o2+crgZklDQ05I8cokPh4ufmvHIKcMecm7ZX6wZRwzv9G9CUF5XL4kwGeOJR+9jJ5QJq8I1dJnnBy6GxMW25YhqLC5vd9jTJCJIhY6M5jE9UEterE2VRnHkR0N5zwTg081l1Sxs1E2mjaCRpp1aMu51Mq/sepSohqtXmzKc5+nrScZQXNdWH5gDfeeF96L3wN7450ptf24vP7NyAJ59fxLsfrFiNAONSLLpe5pzsird7b69SmOfz8ET/SYOw9Tvgzpn0cXHf/ipmHgR23Bp9vAhbc9JnND8Dgtd6jazF4o7zYeh1SfJOme4n7Xq2AzLW2VmNtmnW3C/quCsIgiAIQnvQqpnmIICvRjjuKyvHrgqlUmlPqVR6rlQq/aBUKn2lVCrdGH6W0Ahh1se7dldxwzblFZ4UsuznHr0mK+k4ltOm8Og8hCxH9xLmFtxUTpCinHvo5XKuRXUmo/53HNfzb3nhbhx8R66ej3xbIYeD78hh4eTd9ZDif/KJe7B8ya9gePIs1v3xixiZOutTlPPybd6UFy64OWWzjndzQ7f6HhsFLr9c5cCzKbbHJ5S1P+W2JU/skWFvHXjZQzvUPXHL/bFRZTzAz6HvKCTfLUP+fmfyAPF9Vgv4bgXdwzKMoHDrNm8U6hPUlmHGAs0M7UupAUx9vxnE9Vhot7DGQvvwnW9+A29+bS/GplQY0bGpU3jza3vRi+fqx5CcC+s/enoMPQUFoaet4JBscxy//OKQd9T0jCsnKfpGX58bJpSU27Oz6v3csMFbzrGn1W+S3dWqN6wr3QPZVPb0mL2+TGOnnreT6sPHYT3qC+D1biNjqLD3PY5M4PUi2cDb01Quhf6cmKrE9vzmdetEWbRW00904rMSBKH9CBufeFQVWnfFjeIRZQzkx+jrYkrpQuMdcc2PfwJLF7vrxeEJNUeaHN1YX2N++la1xjRhmwcR+lrRlNoGUAbOjx92sLiitD5zxj9HymTc++HzLNNcqlj0z9kqFbVGJS9zfe3N1+n6uLh3j4OnvrQBx55G5D2LoDWnbd5jW+vZotdFJe1xPo0IOaYyTPVsZR5zyZne/cjcTxAEQRAEoHXK8g0ATkc47iyA9U2ui5FSqTQG4M8AfBTAVgBfAvC3pVLph1ajPmuFsElpVGVgELS4ohDgjS4G61anO7wKUQqDOznlXeRSiFrK8a2Hng2rE7XR3JxSJHg2F2peBci3XnrBmF/u1MILGJ9wlZl7f/sTeN2Pfwe3Dr+M1xa/41OUA0pBQspoUp6YQp/197teg/m86wFQV4ysVMf0DHVlPHmn62F4Dx5w6uXQZhLfuDh4QOUL33otPPnLx0aBo0fUdwcPuLnj5ue9/a4eDr/iKpD05zw+qTwKxydQz+NL38UJsa5j2hwJ6xfUJ+h5UBvaFvJRNy6ShoDUQxI2k7gL2XYLayy0D+W5F/CZnRvw3TuvwIUPvxLfvfMKfGbnBpz6/gv1Y/J57/tpy5XI83PS+5jNujnGifl5/+YtySkuX4MiRdAmL8mrpSU3POmFC27eT77pXK36PbFModW50tok1+izwUHUc6XTxjL/n6eymJ5WHuuPH3Y8qTi4rNbfaTp/7rnw990kE2yyjMtWkyGdqVxgJaf8cC72prLJOC6KAYCwusi4IQhCGkSZs5K8Gd6JROvUKKHc6RjyGtfXxfQ9Dzh4+jTwytd8AptK38Eb3vQyzi0Bn9nptbq7/spenGZzJs6IwdmcK9D14IYmxTYpvnftrnoM+44f95c195yS2Tw92NZrveWSd/ZjjzjG61Wrqo3ISO7ECXgMpW3te8+952PtWQQZ7fN5D29D21pPT4Wz2krdNJTvUctopXJTFKndj8z9BEEQBEEAWqcszyB69snVClNzB4C/LpfLnyyXy8+Uy+W9AL4N4DdXqT5rgrBJKfcYbjVRNhz4QpXDF1N6XmyTot10Td2qndqIlBWZjLoOV4C89vJNxvxyG/s3AQCmDrnKkKEd3gW93sZc8Q+ojZXREb+Cm19/ft5VGpFHI7WFSUHE87dxuNcftTO148iw+73+bHRFFleGb7+56vPqpDblz4/aRF8Uj43kPMfw7+IaZJjyo5uUQmHK79ER1A0BTHUmmr3p0MrFZdxrrVXPSCGcUsEiLy/ZVP//zBmljKZ3PijkOaA2bymMaDarlNl6WPO5OdQNkIpFvyzTjWD4Z4BXMa97YuXz9tQVZGhEcpDK1/OUTx1S3lHjE8oYijag9+5xPPKKDMQoLzr/n7DJFH3MtL3TUd530zFRZFmY3OZjzuGHHdx5x8X2wgzoUWXiGAAIq4uMG4IgpEGUMaxReWOKmKKPL0ND7t+0FjStNflcg88jhnYAV7/uh4xzptdcvgk6fX1q7kNzEirXNodyHKXE1r3RT59WYylfr5IxoF4WzV+W2BxpesZrcD0353439xys0HypVvO2p619xycr9b9pjpVUaa0b1XOjb1MddEM8UvSvhTlGs9efpogMokjtXmTuJwiCIAgC0DplOQA8VCqVXgz6AfC3LaxPnVKplAPwRgAPa189DOCtra/R2iFsUkoew0Fedo0QtJCNsuGgL1THRtXGOoWlvmVIKRwKhRXv5AlXAWwK00YL3PEJ1+vu+HHUTU1I2V4oqP+zWdcrrlgEsv134d0PVnBkroLF5RqOzFWw+6EKfvLn7oLjKCVLZVFdhytwKEQ7V+DkVnTDvjaoKUv9sVGzpznB6za0Q53DN0Ee/nvUQ/BOT7vHksc4b+fxCW9f0RXp9BzJS0EPZUjHLyy4Sirumc6vRfekL4rvvONiX/tEWTDroYZ37a7Wn21Y6PW4yu9GF/JJz2/l4lIWskJa3PGBD2P3Q155+e4HK+i/9K76McvL9s1dCi3O4Ru4lYrXICmTUccXCiuyvuIq4Scm3TCswzvV8TT+HT3i4Kqr3DIo5LpOPg+8/Wa7ovyqqwDUVEqMXK+SyQBw2y/l6nKNxgmConDohkiFze7flYrrgU2KYUCNcRQBQ5cpPDQ7GU6Z3umg953StBx72n9+GpuajcoayidfqyH1ugnJWG2PO0EQ1hb6OJJUBoWet7L+0ccXOg9wDeRoLcjXmpSuZZAlw8tm3fXSsaeBMxc+6FtjvvvBCtDnzpmKRWXES9Fu5ueBnqzZi5zPn6pV4Cd/uuqbv5Dhtg2aQ/B7q1bV53q6NFPYcz4POXrEXQeTlz8ZqPNyslk176FIOoDXoHphQf22reGihOa3zT10Izx+PBniAc2fYzQ6lqY1Fjd7Tcifoaw/BUEQBEEQ1gaZmr56aQKlUun34xxfLpf/sFl1MVEqlV4D4FsAfqJcLj/OPv89ALeVy+USfXbhwoVaVk90JSCbzWKZ77Br3HPveYxPVjA2kovtndVMrnvLaVQqSvnw1Je8oeXuufc8JqYqGB321/mee8/jM5+roFZTioY777jYc4/jkxVUKp5T8E9f2YA3vPG07zMqb3yygkUtBF4261Vc6B6DVO977j2P+x9QFzx7egrnXr4bpxZewMb+Tei/9C78u7eMojzrbkLwcjIZ9UP3wXnnbWfxzNeruOZqB597YKDeXgBw+225+jV1slngq095701vDxOO460Hb69/+or3Pk1tlM2qMHT6M7M9rwc+q8q67ZfUJofteQPAvf/5Aj47/oPIfZjue2nJrmy7/bbgsqgPvm6zgxPfqLbd+9NswuTKatOuci0prW7vnp6eSJFkGhl3w+7ps5/9LD72R/8JX//GN/Gay64E+j6E9XlD7FAGGdQkmT7R5nCQh/o1Vzt45utVZDLAL79LySabrA3imquV3KAxrlaDRw7T+MFlW5Cs5mOF7Tga0wC//AaC3xn6bsvrosk7U/nNJO77sfW60/UIAzQedjvtLrOD5nytot3bqB2QNopGknZqxbjbyTS770WRQaZxMug823d8zcTnAPrakpPJuHMbviaj8fbM/BQWTnrXmDRnuv02NV8Zn6xgeVld46I+YPNmNaeh8vmak68rk9LX56aiof9N68DxyQrW9QMn51Ff1yaB1zmbVT+/NHYRqtWqZx1p20doZBzS1+H6PerXb3SNYisjzj2Y3ql2GIujELQXlAYy1tnppraJOu4KgiAIgtAetERZ3u7EUZbPz89LgxkYGBjA2bNnrd9vv1l5mOVyqOcrbQf27a9iekZ5+s09pyzGo1oM6/fE/x/aoayQ+/vdHLUHDzjYtdsNJUef3TJU9YQyp42KYtEN50s4jlIGU7n5vMrNRpbkgJsfVw/9SwrybFZZzE/PwKOc5yH8qB1u2u638idyOVg3OBzHzbOm10MvQzcQ4H2E2iafB74w7bYxP5Yro7m3uA7di+Oo3Lm8LPosiO1vV0qnqH2YyqdnViio8H/0Ww/FXw/Rb+iD7fj+BNU3Le77ZA/GJypNvUYjtONzaYQwOZ42+Xw+0uZBI+Nu1Hvispm8sLlXuG6Uo+cEjwuVp5dVLHqvm8sBqHllPC9jeKfy+DLlyORjUT3KxoySQSdOqOuODKvPSLYN7XC9uGwynI7TPyc5DSj5QN/TWAcEvzMm+c6P0WUOPTNevk6aciru+0HzC1valVjlhNxDK+RxFFotQ+KS1jMxlhux/du9jdoBaaNoJGmnVoy7nUyz+14UGWQaJ4POs33Hx1RaUwJqbKfIJwRXknOyWeCxRxzcsC14wkPjsOk4U9l0b3zuFQUyVsxklBc8raf4fOToEbcNgsrnx+kEyfR9+1Woc7qvalUpfR95yOwJrpdje15Rx3q617C1h77uTYJtzhZnLDW9U80ai5tFs+ZYMtbZ6aa2iTruCoIgCILQHrT/7LQ1vAxgGcArtc9fCeA7ra9O99GuYUfj5BClkK83bDPnrqLQbEtL6v/DDzv4wrQKobv1WrXg3HotfLnHuKI8mwWeeNQcej6bdXOnLpxD/VyuXHAcN68szwOez7u5zrdsQT1vOg+jnsnAGB5cx3Hc++Sh08dG1eeA2jgYn/CGztNDB1NoXvIyICjEPIB6+739ZtRz6vF8vjxEnq4ot4V442HW9c+CGBvJxerDQ0OuFymFoacQ9qYwbkE5dtvx/Uma3zwO45OVts67147PRUiGng9Tl7/DO933uVZL5lXOeewRJdsee8Qrwyg0OpHJoB7KnJPPqzL27nHqKTT0kPD1fllTCvXJKXd8olCl0zNe2bZ3j4OerPsdjSWUc5TCyPPUGXRdCj0KuDnJczlvW9reGR5aVE9zQbJcz8MZJU1Ls+RUlBCiaYXsjHIPrZDHnQp/Vs0KoyrtLwhCFMJkEI2FjuMdJ4POC0vNNDaqDMJJOT4+4aZ9ofG7txf1vN6c5WVECpXNc4Hr8PkSH9/1XOREPu+uJzk0D6nVlBHywQPufVOecPpN6MaH9D2FbbcRJNP37nHw+GHv/G10OOc/0FKOLTS/PsfZt7+Km7ZXPeHeaU5mm0cFrXuTYJuzNTqWdlpIcxnjBUEQBEEQ1g6dMUNtMuVyuQLgKwBu1r66GcCXWl+j7qPdF0VRlF58wU1KBPLEpk3YrOMqGThBecs4W7Z4v+NW/9msN8d2Xx88mwO5nOsJCKhjaYF86pRbX8qROz3jPZ6HsCOF9YghGvHIMOr3OTfnKn7p/jl8gc7LB9RmB3k29Pa6Gzazs2676BsIc3N+YwJb39LbnDY0KB8w33Cgz4K4846LY/VhXenE86zTxgff2Ajqg+34/rRCURzXQKHVtONzEZKhb5zu2u3fHCYZMjjYmLKc5DbPJVoouPlDOSQ3azXvRjY3sgLczVuSaWQ8RHJndtbNp87HsqEdftnGDb9obHv8sIMnHlW/ybhsdladT+1SKCCSPIOh7aan3cgnfAOcvkuah9NUjzRyZbZy4zSKrBXDHTuteFbS/oKw9kgr7zKHe3w3Orfkc1SSURyKLkOyixv5csYn/EpoHZovhHH8uGuYR0Z1nFxOGUqb5ljULiZjutMrWVm40R7gzu3IwFo3YrfVOapMpzYGzOVFKYfGqEzGeyzNi/R9haTr3ijofboV65xmvEdpI2O8IAiCIAjC2kHCsK9QKpXGANwPYA+AJwH8BoD/AOBHy+Xy/6Hj1mpYujA6JVRSI2G0eCg3CjNOC1MKTxYUWo28rAcH3ZDvn/qkN7/4+ivuwq7/MIzpaWBxyauQyefdkO5br1WLYQpBbgvFxsPhHT3i+ELyHTzg1plCuwPe8iiMG4Xi09uCPNinp4HCZjfUOIX5pTB5PAw5b8eeHjf0L98IOfywNww893zk0DMtbPaG0o8SolcvI6hf6H2cP9ORYfN5+/ZXMXVIeWboYQh5eOVWhvFul3C9UegUudItrMUw7IemJnHvxz6C8twLKBU24eyim3+Th0TnaSqWlpOFYC8WlYwiWUXlmFJa6Dk4TaHhqTyKkkHvNQDveDOn5K6e1oMU6qY2soaBXZG1XIZTeE/TWKGTJKRn3HCdYTIuafoE3k6dFkK0VbSjzG63Z9WObdRuSBtFQ8Kwp0+cNk07FQ8PsR00jsYpzxQCfGLSXY/o8xI+h+DzhVwv8PKL9nzlgDtPmjqkys9kzLnRad7A65LPK0U3KSNtKbz4vGfvHnddS7nDSc6HrdH4s6N1aZT1oqld44RGN5UBuCly+L3RGpKMGsLGrzTGumakl+rUVH2tQMY6O93UNhKGXRAEQRA6i7U1Iw2gXC6PA/gdAB8G8DSAGwD8HFeUC52Hbq0c18OIn08hXyn39+SUa2lMHnWAN8Q2hW4/9jTqXsbk2X3wL6ewePK9GB86h3MfvBzjQ+ew+L334uBfTqGy6A9bR4rs2Vl17UrFtUIvFOAL1Qa4ngB9fcCNb/Pmg52dVeccexpADXj7zTCGduOW6dQelPcO8HpNnziButcghfkl73PyFqSQweQJT+01Mux6ovNQ7IDaALFZtnPPSf5s555b+T1nframMsL6Be8PNot/Dve2r9XcEPYUXnE1LNVN99oJVv2CkDaHpiZx91134M/eeg5n3385/uyt51A9/V6cmZ+qGyURhQLqES7oXQ4KbWn6jmQU/SZF+dAOv9eWKRLHiRNery8u8+i9nph0Q6xWq0pBTnKXPM8dx+w9BriyoLDZL5u4rOV5Q3WCbDDjhvSsbyjviLZRbAplGrUOsWkDVZLI7nAkAoggCM2g0bGEy2+ucAW83sBR5LxeFh8Lxydcr++9e1SUGIpUo89LKHLa44cdzxryey9PYemUd826dErNl+rtsdIOtP4zKcoB7xyht0etPb8w7cpp7nHO5yqZjH+tR89geCc8Ht6k7Let0ciLfmnJNf6Lmjud5kKTU+619DaIWga1tykl3N49KtT744ejjV9pjHWrsS4tbF75XWjdNQVBEARBEATBhuwcMcrl8v5yuVwol8t95XL5jeVy+fHVrpPQGLpiMO4iMEiJmsn4F7h8QwLwLsD18HbnXr4bn741h22FHHqzGWwr5PDXv5DD8sLdyOW8+cAPHnB8YYL7+tzNgWefNW8KUG7zCxfMCgyuvOcLdsANJ8cX31xZZFL61mrupgsRNaz43j0OenvU36TgJgX68jLqueL1DSHK7afnudWftWmziYwZyCvBZnSwb38V173lNCYm1f1NHXJDFet5BXXouVPOeb7xYctb10zFh+kdaNdcbPfce14UQULTuPdjH8GBn/bL4IHeu3HwgOPZACUZC7hePiSvOJQD9Kqr7NclBTPJnPEJf1h109oXnNkAAQAASURBVLG1mtmjvVDwymDT+YSeHkKHZAEZOQHe0OoEXWf9evczMqwype8A4im+6fjxCb9sIrmth8q3hTLVibKhbMoVarpWEpkZJOdt39k+b1fZLQiC0O00qpzk8psriCnqi+k4E/pYycdCQk8BtWRRZPN0Km+/WXmUVyrmNeunb81h4eTdANQazBZaHfDmR6d6mZT5gKs8LRbhSS/D5zekWOXPgLcD4K69TOtAPhei+uTzwaHZCZpvVavumrivz//copTB5ym6AX5YPZq2Zqy55QfNg9IijnG7IAiCIAiCIDQbUZYLTaMdPJ70xWjcjQ3TYpYUAlu2mJUIQV7GnJNnX8D1V/Z6Prv+yl7868sv1D0BeU507pHNc+bu21/1bCAM7fB7BxaLfqUJKXq5kpkWxnzTxaSYyGTgt3ZfCbnOsXkvEnofMT0vfm98E4j+rlZVKHc9z63+rGlThivAuFJ/edmb15c/x+lptVlEdaHfWSc8NB55aDz2SHi/4/fWrPfH9A60ay628cmKKIKEplGeM8vg8twL2LW76lFM60ro8Qmgf533s2LRVWjPzXnzoPf1qd/5PDA6omRjreb3ZCoW3QgfVB5g99AC1LXovebXzGbNuSqD3nf9O937idJuEFzJr29a6/KLy+Ao8o1vuvO62rzAuIcZHzuJODI1LHJImMwMulaQ4sP2ne3ztGV3O8zbBEEQOpWoMpQb+3KjYxpjg9ZGOnys5MZzwzvhGbNpPKPxTV8XUohzUmCTgXCtBpxaMM+XTi28AMBVdJpyowNq3jMy7K4L9bUrH9t05SnNLfTIOibjMQ4ZKNN6x2ZAPzqiUpUtnIu2BjPVJ25WQ9t+BHm6R1n7NMNYzrTGDoqglgbtuAaVuZAgCIIgCMLaRZTlQtNIYxHX6GIlTDkeVr7NA/rwww6OH3e9jEmJwJXOFJbdxuUbN+HJ5xc9nz35/CJKhU31//VQbwBcT/aKalseto9b9nPvwIMHVNg9btWfdZRy+/hxtTgH/DnqeH7x2Vm75yC/HrUDhasPev56HzF5WhOZjD90edQF9r79VY9XKG8vHd0TAXC9HAier16/v0b6LPcqMHlUNot2DVM7NpJruw0UoXsoFewymCtiyahIhyuKHUd5nxNDO7zKXAqrfuaM17tbD2d+4gTq3te0YUzoXuXFohtGlOQNpQs5esTB8E6zwjjIu1uXBVzG0rm68ZXu4W3zCCcyGVd+kkeZSW5y5QGvKz0L/ZnwulP5U4dcpUOcOQk3gDOFBg0KGx8WCj6OsULY52nLbvFUFwRBSA4f23btDjaaImNfPdJU2NpIh49X9TRZNfdcrtTlayddWT43B2MEGQDY2G+eL23s31Rfn7knessm5fn0tGtQOHXIewyfx9jGO65sB7zGz/w8wE2XZvreZkBPEcOWlhCazoXqms2q+6hU/B7yNoIixfB5Xtjah9c3qK/FQV9jm9bEadOOa1B6/lOHVrsmgiAIgiAIQqtpn1mp0HVEUWSGKRabvXEbJbRd2OJzeRn1kG7kzcbDwAHupj4pm8dGgbv/5MPY9cUKjsxVsLhcw5G5CnY/VMEdH/hw/Ty+8OeKBb5A5hw8oF5pnv+L3wN5fvNw6TarcceBJzc5YVrQ8mdNi166Vz38HV/QDw25mww2hQug7pVCHvNFtSlsvAnubUCbM/v2VzH3nHoW9HzyeZVbfssWr5KJK61IcWPr3430WR7Wn1jLiuI777i47TZQhO7hjg98GLsfMstgrpB9/LBjTIVBkGEQbSwHRdSgY3SPJgrbvrzs5h6nMSSTcSOA6Ok5SOnON2lJ1tI4xBXSYUY4xjFvpc7cKOqJR92bnJ2FJ/qILX8njQnDO70b8tMz5sgftg1UirIy95x9Y1pPDTI9E897ae8eN6drnNCg1EaA/VpJ8rO3ajO5HT28BEEQOgU+tpGHsEmJGsVoKmo4bq4Q143Rbtqu1n7ca53GGRqTKTd5pQIce9otlyLiAMCGV96Fdz/onS+9+8EK+i+9C7WaGrtv2Fb1rX9Jkc7TeAHqN49GRuvQsHHw8cOOL5w7/557fNu+N42jdF2e7obW2UHGDpRiq/75jO9Q47m2SDEU9S1KSPe9exxkHX9KtUbQ19hRI6OZoPnkPfeeb6xSq0jciAGCIAiCIAhC55OpySwwFvPz89JgBgYGBnD27NnY522/WeWLzuXc/KicffurapN7R/Q8YHEIK99UP1pQFza7noP0PR1PZDJKqVBf/A95r/OGrRM49/LdOLXwAjb2b8JP/txdOHDfqOcac8+Zr3XTdm+Y4GIR2Hqtd7PecZTyt7LoKnQ4mYz6oc/zeWBhQW0OkNcjFxG0sUMe6E6EMOTUZtwDnt/HDdvcSh094pbD25Lqbusn+nPS23vf/iqmDilFFNWZ2omXqT8/Xt7Mg8COW6Pda6N9ttn9vlNIKleEZLS6vfP5fCb8qMbG3bB7OjQ1iXs/9hF8/bkXsPGSTdjyo3fh4b9z45ZyWaJH3gCUjLzqKq8XOQ9lquPZrGbjgS7PdYpF1xiKo8vWsVFzPXM5ADW3Try8+z7Zg/GJCoaGvHJxaIcbuYQ27mdn3XN37a76QqGPjXqjneR6/eMerzvJOapzNqvCpoYRNncwXSOuLNXPjfJ+NHK9qPfUzojMDkfaKBxpo2gkaadWjLudTBp9j8YBHp0riVyPtEaedhX0ZGw2OOidk9B4Pj0NLC3711P62sfGmfkpLJxUa9b8uk143Y/che//YDjwHH0dSZjmSWOj7hyE1q98/uBZG8/Zx1nTOLxvf7XePqTc5vMwaoNsVv2EPTv9Gvd9sgfjk5VIY3+aazze14LaZDWgNu3rAx55qD3qFJVWrcNlrLPTTW0TddwVBEEQBKE9EGV5TNbq5kEYSSe07aYUNClZqX6Ad6MBUMrl+XlXecCVsgRf/OsLbl1BYlO6k5V8raZ+uOKbKxf08yhn7fSMqwAHVH1PnFBljQx7lRtHj5iVIJmM8oLkyni6RtYxb2jomxB0bb6gv2WoWg9nzJXvvrbXnoPvejNumbYNJv750A4YN1Nsmw6dsmizGWZ0Ip3S5t3CWlSWEzajHf45l7uOo8Kn8g1Vfhzg9aAClAzt7TFvVocpy6leJJu5spsrzHM5r6zPZl05D3hlveMAGza44eTpWMBrUMTvyWS0xOt0/Li3jeh42qgnAzBdPsWdC7TEkI4pIaangbHRHH79PUuRz2tUOd+JiMwOR9ooHGmjaIiyPH3S7ntpGmzp8LWVvtYkI7QaC4lOYzMZ+ZExNh+3bdB6F3DXlvr6jkNK50rFXB6vYybjlkfzCVKym5T6fE4RNNby8Vhfu+pG2PrcSm/boGcX5xm3eo3G1/NRvNXThNplbCR87rRWkbHOTje1jSjLBUEQBKGz6MzdOKFriBNatNH85VHQQ6Mde9rNQ0Yh5HhYN9o4oDCtFBLNU+ZMcP41nrOWvqfjKeQu4A3zSx54FNKW0M+jzQceFp3C91LoNh6yjepCYcCzWfe73l43/LjjrOQ9z3rD3NrakeeePXjA+8wXzrnnUY45np89LJcftbst75wpBy4PF2/KR091BKKFQGwn9Dz3nVR3QVgtbHmwOSPDbojMkWH4UibwSB3VqpKZTzyqQobzkOC0AayHKCccx5WXer1o03N21n2/9+5xr8FDq46NKkOqxw+7cpQ82wFVR553ncKPUg5VkpfcSMA0jvGw6NwwgO6FNrUp9QfJbz6mxw0zHjUFR1L4OEN/T0xZdv0t58WlHfN2CoIgCMlpRK7z9F6mMU5PZ6KvcR4/7KC3x7t+BNTf5NVN6bhoTTk2ak4lQ2u1XA6esNx66HCaiwzv9M8VikX3WF5HXh7NqTIZ/3yD31/QWEtzC553nNKTEXr5dF1az/N1a9izm55WewVR0ts0O72cDjfmbNU1Cer7d95xcUuu14p9IkEQBEEQBKH7kR05oWNoxQJTV2rrHoO5nMpn7ThqwU9KaZ5Xjhbk+bz73eSUP784oBaSTzzq4OgRp54DdvvNVZUzrqbCqnNFN+WVy2SAd70zF6rsNX3HNzjoXmlzJJNxc6LTZgd9R4pn2tx44lG1wUF1422gt2PQZhFttADu76DnHCWnKs/jFqRUDyOtPtfKBbye577VmyOC0IkcPKDksCnUOYcrnwF3A7ZYVIpxbkw1tMObf5Oo1VDPA06QIptkIG0k6/UipXkm4zWKAeCRbUtL6jtd5vDrOI47phSLrpLdI1tX8ormcq6BgEl+kqykDWgyGtAV7zRmhm12RyVpGWEymY8z9fzyw7nQciXntyAIgmAj7nogaIzjhnKFgpuLnI/RNCbp+bsLm/3G1TS+64bcxaKKiJPNumMb3QfgN8rjxs0EGUvrcyhe1q7d1fp1rPONmve+TGMt9yKnY7gRuH6/pvLirBeHhlSocdu4z59hlDlCmmtGbgDa7fOSVhsiCIIgCIIgCN2JhGGPyVoNSxdGK0Il2XKQRQ1npucrq4f6Djifh4MbHfGHnCOLcx4ajvLCmkKq62Fu9Wvacmbr3+dywJf/YUOqbU5hgB0HePywuV5BOfcaybfK89AdP+4NyZeURGF9tbC7PC/eh94f3t6m/qSHSG5VLloJ6SvEZS2HYbeh5wTXU0XY8oVTegwuF3l4dMCcnztOLm6e8sOWfzSKzOFtxGVxlFyr/Hie2gPwp7kwnsuOMcngsLE9qZxLMl6JPApH2igcaaNwpI2iIWHY06fZfS/u2BN1jAsLG66n17Lm4V4Zd/V5D81rhnf6c59TOHVaQ9IcidJs5fPAF6aj1d1UN6qX6ZqAfz1t3S+I0I5JCeo3ca/dyHq6HWmVPO/Eda+MdXa6qW0kDLsgCIIgdBadMZMUuoqkFtMmK+84VsTT0254XDo+7Hzy6nviUa/1eb3MGXU/3OJetxrnIeoozK3u8UyYvO8At83616n/C4Xw+42C6Vno3gf8HvSw5qa6x7VcJ4WTHg6w0YVuI17k9PfcnN2TUr8HPeQfL5dopVW/hPRtPyREYOexd4/jCUmqjx+c6RnXO5vSY5DneaHgDbUOqPFg1+4qbtimPKqA6HJUT/lRKLj9q7DZG+o0DjxcOhFUBpeVPJpHFPmjH2OSwfo4yd8h7rUfV861mwf4WpENa+U+BUEQTMQde6LO5fW1KWff/qovUpppPcfHXVtqGlrn8HQytL4GvHMkSvPC073wOunRyPja1xS6HPBfU19P2+YFq7kminvtdpufNJPU5wRtZuIjcx5BEARBEITOQ7QoQsuhRe/4hF3xGpU4C0rKtc3DyCVdkDqO+ikU1H2Qghfwh1zfu8cNO8dz3pquaQujTm2m50iPgr5Qs+VO40oe/RxTWHPTMUGbAbYFI1c46UYCSUi6MDWF3Y1aDz0EMTdyWFp2c/mJ4nptIyEC2xuT7NANiWj84EZSlIeT5D6Xg8ePo/5bD4E+MuzNQQ745WiQPOOb43NzXsW1KdSp7X7vufe8p0y+aa3LLb0+NK4uLblhXW1yM27oc5OBVhSFehTitHMrWCuyYa3cpyAIgolmKW15SHaubN612xsBh+YfJqNtPgYfPKDKm3vOTcXyrnfm6krxWs2d6/B0WoBr0G1TuAOu0n1yyrz21UOXk9EiKcHJEDGT8c45wsaYVo71aToHNHq91Z7j2EhzTtCO84t2rJMgCIIgCIIQjGhuhJYTZP0el7gLyp6sN7x3kgUpWbP39Lg50IBgS3de3yhKDB2bx3nU+vKFmi13mp5nTl/c6Qpk/ZiwhTjfGDHdG+Wza3QTKakxBr//pF4Aeg483ldEUS6sJW+RTsQk9+gdzuVUTvLHHnFlJBlJHTzgNybSoYgd+hhg2kzet7+Km7arH1O0CkLfHOde7HHud2Kq4inTZLBla6O9exz0ZNW9h0XiCNs01GWwqU3jGDXF2Rxe7Q3NtSIb1sp9CoIgtBrTOo57lI+NKkM6Mo7W5TCdD8ATLWt2Vh175x0X15XWXDlO85pcr/qfDLopOtvBA/b1jymaGeBfn9I8g8ZoWn/39ppztEfJH06kpUjWy2n1vCLoeqs9x7GR5pygHecX7VgnQRAEQRAEIRjR3ggthbyZ0/AgjktaC0XTZj1535m813WSLMrDFBg2uGcz1YcrVPbucep5327YVq3/mDwEdQVymPLchr4xElUxHbXd6P6AxjdDuGfGdW85bT3Xdg+tXCS3q9eA4NJu3qyCF9P7anuHTek2TMfpYdl1aDN567XwRPwgoyvy4rIpwPfuceoRTmhTfG4uOKIIQbLydZvjG26Z2qhQQGB/pjQi/f3ez23vgX4tPbyqvrEfFFI2jld7WL2awVpJm7FW7lMQBCENGo2WZYoSw+WwqXweLav+2Yz6TRHSlpeBm7Z7zwubC1DamVuG1OeZjLkcvY68bNuci+4DCDbaM431dL9Th1Bf84XNn4Lajdqq1YrSoOu1q9I2zTlBO84vktRJ1oaCIAiCIAirS6ZWa7PkPm3O/Py8NJiBgYEBnD17NvS47TdXUVn05hwbGgr3uq1vkkc41nb8vv1VTB1SoeNGhtP39I1aR94GtNGfhChtTtfKZlU+2aEhdzFP16djOEnqtm9/VXmr7zDff9j3Ydy0vVr35HzskfD2BbybQ0naXW+bRp9ZGHH7OSetftVORJUrnUq7PbNWt3c+n7f4FHlpZNxt9j3xdxaIPqbp6GPj1CG1iUwE9ZEbtlU9x9HYapLzvBz6rK8PeOQhi8yOcT9h/ZnX8+gRJ/J5YcfZPudjjt4eUdDLNfWlpDK7EVnfznS7zE4DaaNwpI2ikaSdWjHudjLt1vfSnCfq486+/W6Idl4+HzsB1P/+0Ps34OzZs561kaletnUYnwPoJF53TpvXtnHYtduf053XKWj+xOcHH/34aUzPKGOBuec6Y3xvxVyk3d6pdsLUNu22NlwtuqnfRB13BUEQBEFoD9buDEyIRVpWrtyyOU5esbhe4abjeVjXyalgD7gwoliU24hi3W1r77if07VqNTc0eWGzNxcszwVXPy+gbjbCrKeDvo/Tv8Lse3Rvf/3zOB7/3DOjry9au8R9Vxrp55zV9owU4tOunh5CdGw5tJPKajIm2rLF/Y5HBuHnc08qgucQDfN8J9m/uGhOWWGTR1E9wQHXk2zXbrsMivoeRPXyJ/iYY/NCC/IUi1KvJDKbcsi2Y0hUQRAEoX1IOrendC43vq1a99w2peWqX2eH2TvbtHbjUdRMXuS2dGuUbiafV/eUz3uvb6q/yeu8Xva0m95Lj6IWB55SDVAe71HmT8b5QQ04fjxaqPd2WKM1Ozz7vv3BkdkEP7I2FARBEARBWF3Eszwma9XSPszKNYn1Z5insc8LPeDYqGXT50tLbh7aJFa7VDeuZB4cVOFveVjypJbaUTzovvwPG+ptHvZ8dO8B1OJb4Ee1Pk9ipR5UfyqvsNlt32ZYv8ft47b7jGsR3kg/b/Se2p1usirvBMSzPD42Dyybl1PUdzKKFzbJcccBenqSyQ1TfUi29a8D5ufVBjfPORo1yod+H8WiChWvl8dptqc2Hbe07J8DJJnnBM1jbHXibaIbdXU6IrPDkTYKR9ooGuJZnj6d0PeizCNMkbH0NYY+fsUZA4PG0vr3M8HzkqDrhXmv82skWdPz8fnY02puks8DCwveOkedWwwMDOC6N592o7llveWYIuvR/WUywBOPrs48oNGob2F0+jq02XSCvFktuqltxLNcEARBEDoLmbUKkWiGlWuYJ7LuaRcn55PtePqc8sgmvR+qG+DmlT1+3LXE1y2141iP79vvzzOuX9f2uS1P3N49DsZGvbnWHcf1Lo9CVOvzySnX0j9K3tyg++LXnZvzKjVs9W40v1/UPmFrj7jlNNLP45S9WrSD54QgNAv+zgZ5MhNR30nywMpk4JGfS8vuJiyVNTIcnKMziKEhN2oGvaskw+fn1TFzc+Zzua2l7T2n+yAF+dEjDg4eMOdJBVy5Oj4BX97QoGtF9YLnG9SRPcUs1DfRd5g3mW114m0SJQWNyE9BEASBiDJW0Tovk3HXk/oaIywveBA0vlWr5vUqlQ3Y12xBEV+497qtPo2s6blXOoVgX1jwz6WiRMG7aXsVW687jcJmVY/hna5C3BSphs9DADWXSuJ1nsYxzc7zzeeYgiAIgiAIgtAJiGd5TNaqpX0Y7Wj92Wgerijnc4/tbFYtkE1e0HEsq6Me22ieq7jW3lGtz7nXYdYJz5trvI6WUy+O50OzrNiNnuUz4e2x1mnkebSjXOlmxLPci1EWtTDPtP7uNFu28YgpPT0reTfn7BFabF5TtuggvN2C8ozTmEpE8c63yWP92Lhym9ed8rUG1cN3boxrmeg0ryyR2eFIG4UjbRQN8SxPn/s+2YPxiUpb5ptOew4Stzzds9yU71ynmevSRtC90gFzpJeoUfCA6JFqqMz+ftcoMc75+rXTav9m0Qx53ur5eLOQsc5ON7WNeJYLgiAIQmfRubNLQQih0TxcUc7nHtukKOde0Ems9eMcmyTHatTrUNnk3QdE814kC//hnf5rRMm9p7d7XM+HVnlTN8sav9s8CdvBu10QkmDK79nKPNNDQ8roiCKA2N6lJDKDn3PPveex/eZq3SuKPNUPHgiO0KLnMA2LDsLbrbB55XfBeywfU4vF6N75NnmsHxtXbgc98zDZlsYYIfJTEAShdYxPVlo6zsfh/8/e38dJct31of+nu2d7vZod7Y5+Nthg45FXnrJjQiRA9yJbVuTNlU0SjHbQzC7GGPLawJq7ZPMisozBhmAShM2NrJBsssEyEcGOH3ZnNjNCJmBxJSRbsi82IJmY2DVeocESYGyj0T5J3p6Z7t8fNd+uU6fPqYfuqup6+Lxfr33t7kx3ddXpqvN8vieNOoha9sc9nrznjjuf6/9Mj1imv172G5d6Rdrt31Hpq9JtW6LEiYKnhl1Xf267FjnmvcteGjabg6vz40YPSOM1ZZR3fZyIiIiI6oMryxOq60z7KEWc/Tnqqq5h3p/FamPb7Gl1f7TQlW1Dzrw27Xen72mbxoxu+RxZiZ7m3uRpnqd1v9qUZ7aPaxVAEWfpFzFfqTKuLA/S83NT/p71cxO1P3jc1V26wN7nADqd4fKcuBFYlk57oUYX5pNHWxn2c9OgfuftHe3CrjgsCubZ0ZhG0ZhG8XBlefre/4EJnFzsFDJqVNrRSvQ9zG2fKXWMnTuB+z8RXfeJvd94wdoco7A9i1HXaasLHT7Sxeqqv4VNmYXlU8PeB1WJ7sayzq5KacOV5UREROVS3tolFd64V8iOuqoryfvlWgHz6utR0mKUlW3qnmzqKvE45yHHNq3uS3NGt3xOr2delT+KrGeeZ3H8YfbNTeM54yx9oqCo/T2B9J8b2/O8teUNnJv2+BZheUZYFJJDC+2hVx6FXb9aLraaXqhTed0wq52GWRE3KvU7L/KKQyIiGt1tt+5KNWpUkjr6sPtL65HAwj5LLXuj2rn6tigH59v9f0e1TaP2G69LmyPqOm11IdlHXf4uirT7doa9D7Lea52IiIiI6os1TMpMmg3htBpntuOMeny51pOnYDzGKGkRJ5RbWHi45vYgRWfDa3TbzlNPAzm2KRRvmmHd1FB4rZa3wlEGhUYNL5x1+Lksjp9mmOAkqhqqjyhLaTw3akf3yVPe87x02pvgtGeP/zp1sFn/fFsIUWHa3mLugD/YHtVhbuuID7v+xSX/WuKEQ1dDt0aVo+PIr0yTCrKumxARUbEkya+T1NGT1uflPKSslTZe1PZh6r7YYdegTsY7dNCbSCD0MlhNk2NHm/jkA83+9mTSnlPLd3n/zEz0eejHL4K45zPsdi3T08G/i0AmT6Q5yYFtTyIiIiIqGoZhT6iuYemiWENUr6QTIiut0NS246QREjYsFG7StIgTlixueCo9nLpIOw1skoRY00P3YXu1eZJzkrDFzSbwyQfSu46ihgOrSig6k6KmeVUxDPt4mPJomeSkarWA+VuGCwFvCukpn6uGVo1zfnHz46R5cVTo1jzzOlPamu6lrOsmZVOG523cmEbRmEbxMAx7+uKkaZL82lZumcqYpGWcnEezCUxMAJOTwPp6vNDdca5BP5+wtDEdL7Ddy3Z7DrC/JiwtTa8bZyh3/XzSzrOKWCdQ62hREzRVzM/tmDZ2VUobhmEnIiIql2LUvqmS0gyRldbMY9txRj3+saNNHDo4/ApwXRZhziWcuimsuvo6/eejru6Ocy3y+pkrvQGhZtM7j1G+l0ZKzRI5tzvufM7483GvcmAoOqJy0/PoQwe9vb31nz10f7IQ8GoetfaE97O1tcHPVUOrmvK1sC05wj73qqu81y/Mx08HNf/X5ZnXxS2Ds66bjFNRyrg0VfGaiChfSfJrW7llKmOSlnFyHgvz3oDqxQvez9VyfpRrSHI+puOpP7OV76b3hdVDstoSLKk45z1KeVOUOoEpWtvsrB8xgIiIiIioariyPKG6zrSPUtbZn1nNSg87bpzPjLO6IK80H2Z2u/qeuQOIvJbA6ojWaN9H2qsPbasvizjrv2rKmq+UFVeWl4ua1wEYKFfi5sNqGqWRr6VxDFs5OWqZHff9pnKkyveSyTDfY9HTqAjldtHTqAiYRvFwZXn68rr34rZVkpR5Sdo/w5Slo6ZN3M+Mm08XKbLW1NQUrv2+s4HzzirSWZ6iIgbEKUeZn9sxbeyqlDZcWU5ERFQu5ay5EyVkm92d1ax09bj6Z8f+zBS6qdJYRTXM7Hb1PXFWJsjrgdG/j7RXH5pWX6o/z2vWP1fEEdWP+tzreYCa15nKFT0flj3Kw/KQNPK1UY8Rti/mqGV23PePI2JH0fL4oqxsS1MVr4mIyiduGZOkzIt7TLWMXVyKt2e46RhJ3zdKxBbT5yXZfz0PtvIlrUhn4xAVMYCIiIiIqGo4WE61YGugD9Pgi9NBoB5X/+w4n5nWIL7pOEk7OJIMGsixAfTfIz87fMT+ufIZEnq4SA1wObfbbt1l/HmSdBmlI2ec4QaJKB22vCDOhK6w/HzmysG8U8+j4uQhwwwShw3iD2N52f/3sFum2NIzjU7erAa1i5bHV3GLjypeExFVVxYDk2oZCwxX7sQtr0xhvGNdizZhPJVJ6IZzSiLqfXr5Im3a+VsSfUyhWMvMWsadICIiIqI6YG8R1YKtgT5Mx2nSAQf57JkZDAwkJz3fpPLe4810bPnZ6mp+K+qLJo0050x+ovKz5QW2jmB9z09bfr62ll+5EveahiXneeigJbRqjDLCdk5pDJZmVYYyjyciIlUWE3zUMnbYScpxyyspL0+eAh59DEOX36NOQo86fhbvq+rkrKJN7CMiIiIiSlO1au9ECnXAIc0Ga9JGuXz22hPph9Ib5jhZdsiHhWubnc1vRX3RpJHmVe10IaqDsBXggL0jWH3uR83Ps8pD0i5Tws5zlDCuacnq2MzjiYgoa1H1iqTHCDM35/9bJk0vnQ4/tqmMNU1Cl98nvYZhy3BOaPMwHYiIiIioyhq9XgWXcWZofX29lgl2/EQXy8teA8nUGJ2amsL58+fHcGZ2+2/qorPhNehkT7NxOn6ii+UVf//YUb3/AxM4eapj/U4izyXk+xz19cNKO42snzHEtRTxHq86pnm+8k7v6enpWDs5jlLuFuUeSlIeheWDWeTFo5QleUtaRujpNUr6Rd1LeZWTRVaU563ImEbRmEbxDJNOeZS7ZVbUe08tXwCMpawxpY2c18yVwNoT5nOScrvT8f7fbAKffCCf886rXC7qfVMETBs7po1dldImbrlLRERExVDP3jxKLOsVv1nsAVq0mc9prxo7udgZ+jtJ+n3mteI7j5V1WVxLVnvYElE1pLUCPIv8a5SyBMg3/0taRujplcc2JItLYHlARFQgZa+nq2VXkaJwxdlqS8rtQwe9etDCfP7nl3dalf1+IyIiIiKqKw6WUyxZDzxn0ZitekjTQwttNJvA5iYSN8bV7zNOg75oEw9GkcW1FKnjioiKJ63yKIv869BCO9YxbWXFqPlflp3KenrlEZ4dYHlARFQkZa+nq2XXuNtkapmtbrUV1SYdR7t8XGlV9vuNiIiIiKiuGIY9obqGpYsyaqikPMJvV83U1BSu/b6zI4eaL1q4+qIKu8d5/2ajSiHYyoBh2OspbhrZyopR87+ylEFx06nO5QGft2hMo2hMo3gYhj2+uPky7z07SRtbmV2WsjwL+n1T53qAjs+UHdPGrkppwzDsRERE5VLv2jsVRpVXgSdZNZd0hV0aM+bTmnVf55BzVb5/iai4Rs13j5/o4trrzsZ6v62sGDX/G/cqubSxPKCs1LmeRTQK5sujUesKtjI7rCyvQt6V5Bp4vxERERERlRNXlidUtZn2aanS7M+0JZlpL69tNoGJltfxcOxoE8dPdLG45L1mYd77WdHSPO0VBcdPdLG87KfBuBUtveMoWhomVcY0LzOuLC+fJPmuKT+wlTlx3ltlputNJYJOxdOw6s9bGkZJo7qs3OR9FA9XlqeP956Z5D0AcOhg8jJslLzL1AZOKo3yN+waeN+YcYV9ON43dlVKG64sJyIiKhfWWokyIjPQZ66Mv2pu5krv7243uNfZ8rL3s263uPufDbs6MKt9cKOOXwfcM4+o+EbJo5Lku6b8YG4O2LnT+7cpr5BzW1wqTl6SZp6edfmT9TGpXqoWhYGIik3KyMnd/s+GKcMk75qZQeLyO402cBrlb975bxXar8vLQKfDeg8RERERlQcHy4kyIg3ztTXEDsW29oT3d6sVbJDPzXk/aza9nyUJnZuXYUPO2Tow0uqUkEGepdOjHWdc8hpII6LxGKUTN0m+q+YHkq8AwGc/vQcL8+a8Qs6t0Uh3MtQo709z0Dnr8ifrY1K9MLQvEeVJysj1df9nahkWt4yXvGvtieTlt94GHkYa5W/e+W8eE+yivr9R63AyIZP1HiIiIiIqC4ZhT6iuYemiVClUUlqGCT0W9z3jDMV5+EgXq6vA7Cxw910phVtfyS5E2w37u+h2vU6WTz4w/PHHdY/XJeyqCfOVfDEM+3iMI0ylmq987jN7rGk06rklzb/0UKnq++cOeJ3HM1d6k9DSSK8k11eGe2ncmEbRmEbRmEbxMAx7+njvBUkZOTMD/OVfAgduDpaVQ5XxK9ULy53FfTNqWplCz4fVsUzfXxptUD5TdkwbuyqlDcOwExERlUt1WilEBTPMDPS47xnnTO3V1eDfo8pypr7MhG82vX3ubK8pcpg7rkYkqrZxrBaNm6+Mem5J8y99JZX6/rjRWpLk6VypO5yil5tERDQ6KSPvvquJz356z0BZmbSMZ5nriypHR00r08r0sDqWif57lv1EREREVHVcWZ5QXWfaR0ky+9M005mSG9eM27RXlmcpzoz4uLPmqzTDuSyY5vniyvJ6KlIaha2kGnfklSKlk01e9StbGpchjcaNaRSNaRQPV5anj/eeXdy0qWM7f5j7JuvIYaY6U97RggA+U2GYNnZVShuuLCciIiqXerRgqFDS2IOrzDOby3ju6jnffVcTDz/YTG2gPMv0iLPigSu3iaiKsshbTce0fc4wnx+2kipJ5JW65ul57HEK1DuNiYiqJs36gq0cSvIZZWwr29iuJety1FRnyjtaEBERERFR2XBleUJ1nWkfJfHK8pXR9isr8z7OaZ17njNus0zvsnyXVZrhXBZM83xxZXm1ZBE1w3RM2+eUJW+Pqwz30rj3gy1DGo0b0yga0ygerixPX13vvTjldaKV5SuD5VCSOkHZ6g9haVO2a0lbXZ+pOJg2dlVKG64sJyIiKpf61dhp7NLYr6zMM5vjnnuRZtVnmd5pHrtIaVY0TBuieski3zYd0/Y5o3x+0fOrvM4v6edwP1giIkoqzfqCrRxK8hllbufrbNdS9HpOUTCdmAZEREREeeLK8oTqOtM+SpVmfxZF1Ez0LNK8aPvMJT2fLGfvl/0eL+PKhrKnedlwZXk9FSWN1PxewrjmkV/FLWfUdMorPy1bvl2Ue6nImEbRmEbxcGV5+njvDZIy8tDBNt76k5vjPp1CGvee5UVrv6tGfabKVg9KIm7aVDkNbKqUF3NlORERUbnUo7ZFlJEk+7cmNY5Z9XntdxpX0vOp0kqEtDFtiKqrCqtO1Pw+rfwqTroMU+7llZ8y3yYionGSMvLUUmfcpxKqbPWgNMv3IrTfs0p/1oOYBkRERER54sryhOo60z5KlWZ/JpFk/9ZRmGaMZ7ayfGV8+53qinQ+db3Hx4lpni+uLC8vKXcA4NDBZPllUdIoi/w+Tnkc93OLkk5FxjSKxjSKxjSKhyvL08d7b5CUkYcWoleWj3OF8zhX3477vilCe9mW/uNOmyJj2thVKW24spyIiKhcxj8aRgFlmxVdd0n2bx1FXjPGi7bfadHOh4ioiObm/H8XJTIIkKxOk0V+H6c8ZjlDRERkJmXkbbfuinxt1u3VsDpFnVffFqEeU+f0JyIiIqLq4MryhLKeaV/WPYmqNPuziEwzxpnm+WJ6549pni+uLC+3YVcWZZlGZa3TmNTpXhoW0yga0yga0ygerixPH+89uzhpk/UK56LWKXjf2DFt7Jg2dlVKG64sJyIiKpfitDIIAGfl2hRhxf04z6EIM8aJiGh0WZUlRSsnjp/oYnMLaDZZpyEiIiqSUesipvdnXQ9hPwkREREREWWp8ivLHcc5AuBNAK4BsAfAla7rrmmvmQbwHwH84PaPfgfAMdd1n9GPV9eZ9lGynv1ZhJnkRTgHVZVm3JYB0zt/TPN8cWV5PupSlhTtOkdVxHupaJhG0ZhG0ZhG8XBlefrqdO8lLaP1tKlaGT+KOt03STFt7Jg2dlVKG64sJyIiKpc6tGwuA3AfgHeHvOYjAL4bwPdv//luAB/K/MwotiLMJC/CORARUbnVpSypy3USERGVzahlNMt4IiIiIiKqmsqvLBeO43wvgM9BW1nuOM4rAfxvANe7rvvI9s+uB/ApAK9wXddVj1PXmfZRxj378/iJLpaXvYZ7UULQZi3LNK9jekYZ9z1eR0zzfHFleT29/wMTOHmqw/w+QhnupXGX3WVIo3FjGkVjGsXDleXpGyZNx53v5qXqz+Uo32PV02YUTBs7po1dldKGK8uJiIjKpbotuviuA3ABwKeVnz0C4CKAV4/ljCix5WWgswEsr4z7TKIVYf/1KGVKTyIiGt7JxQ7z+4pQy+4y1DWIiMqObaZ8ZF2m8XskIiIiIqKJcZ9AAbwQwNdd1+3PoHddt+c4zte2fxdw2WWXodVq5Xl+pdBqtTA1NTW2zz908DmcWurg4HwbU1O7AAB33PkcTi52cGihjdtu3TW2c9Mtr5xFZwNYuQd45zuGT7Ms09yUnsMo6ncwjHHf43XENM9XUdN7lHK3qNdUJG86dAkfO/XNkfP7YY1STuRZxpThXlLLbpkEMWpdI4kypNG4MY2iMY3iyTKd6treHSZN02ozFUFYmTpM2qRZRqfVfrYZ5XtknmXHtLFj2tgxbYiIiGhcShmG3XGcXwHwroiXvc513QeV99jCsL8TwE+4rvsy7TP+AsAHXNd9j/rzuoali1LEUEn7b+qis+Htp/bAfcUJonD8RBfLK94eb6OE6ytimuuK+h0MI0l61yUkY9bKcI9XCcOw19O402iUciLPMmbc6aSLKmfSqmskUbQ0KiKmUTSmUTwMw56+ut97YWXqMGmTZhk9jjItrjzvm7K1Mev+TIVh2thVKW0Yhp2IiKhcil/DNvt1AK+M+PPZmMf6KoAXOI7Tr8Rs//tbtn9HJTU35zXO5w6M+0yCjh1t4oH7mqVo4I6qqN9B1hjKj4gonlHKibqWMUB0OVOnugYREY0u7TI1zeOxTPOwjUlERERElJ1ShmF3XfcbAL6R0uE+A2A3vL3LZd/y6wBMIriPOZXMsaNNHDs67rOot7p+B3Nz6K9+ICIiu1HKibqWMQDLGSIiSlfaZWqdy+issOwnIiIiIspOKQfLk3Ac54Xw9h6f3f7R33McZy+Ar7iu+7Trul90HOf3AbzfcZwj2695P4CPu67r5n/GROEk/Nqhg8/hrT857rMhE3YOERHVw7hCorKcISKiJMoWwpsGsewnIiIiIspOHVpJPwXgUQAf3v7/727//weV1/wIgM8D+MT2n88DeEuO50gUm4RfO7XUGfepZOL4iS7239TF8RPdcZ8KEREVRFHLBoZEJSKiNGVV3rG8IiIiIiIisqv8ynLXdd8N4N0Rr1kH8KN5nA/RqCT82sH5NoDNcZ9O6tSOHM6cJyIioLhlA0OiEhFRmrIq71heERERERER2dVhZTlRpRw72sQD9zVx2627xn0qmZibA9ptduQQEZGvqGWDlMkMaUtERGnIqrxjeUVERERERGTHlhLVUlHDuRI7coiIimqcZSfLBiIiqoNhyju2bYmIiIiIiEbDHkeqJe7ZVkzs6CEiKq5xlJ0sF4iIiMKxbUtJsG5FRERERDSIg+VUC3qDsKjhXOuOHT1ERMWll515dLayXCAiIgpXpbYtB3Kzx7oVEREREdEgDpZTLegNQoZzLaYqdfQQEVWNXnbm0dnKcoGIiChcldq2HMjNHutWRERERESDyt+aIoqBDcJyqFJHDxFR1eVRtrJcICIiqg+227PHuhURERER0SDWjqkWqtQglNB0d9z53LhPhYiIakQPjVqlspWIiIjGb9S6BcO4ExERERHRMNi7SVQyEpru1FJn3KdCREQ1wtCoREREVGSsqxARERER0TA4WE6lV7fZ4xKa7uB8e+RjZZV2dftOiIiKJKs8uMyhUctULpXpXImIqNqOn+ji2uvOlqZMKnNdZRRs1xMRERERjYaD5VR6WcweL3KjUELT3XbrrpGPldXMe87oJyIan6zy4CKEXR+2fC5TuVSmcyUiompbXgY6nWKWSaY6QRHqKuPAdj0RERER0Wjq1YKgSspi9nhdGoVZzbyv64x+IqIiqHIePGz5XKY0KdO5EhFRtc3NATt3FrNMqkubPQ6264mIiIiIRtPo9XrjPodSWV9fZ4IZTE1N4fz58+M+jdQcP9HF8orXKBxmVvrxE10sL3uNy6xmtVctzYsuLL3z+L7riPd4vvJO7+np6Uac141S7vIeijZMGo0zzxu1fB6Wnk7M9wfxeYvGNIrGNIpnmHTKo9wts7rde0nKsXGmTdh5jqtOoKrbfZME08aOaWNXpbSJW+4SERFRMXCwPKG6dh5EqVKFNg37b+qis+HNwn7gPg6WV0FYeufxfdcR7/F8cbC8noZJozrmeXo61TENovB5i8Y0isY0ioeD5emr272XpBwbZ9oUvbyt232TBNPGjmljV6W04WA5ERFRuRSvtUFUAXUKV1bk/d3zUqfvm4iIeV50GrBsJCKiIitLWV6W8ywi1kWIiIiIiOLjyvKE6jrTPkpZZ3+WOYxqUdK86LP901KU9K4Tpnm+uLK8nrJMozKXsbqk6VSXslHF5y0a0yga0ygerixPX9nuvTzL2LKlTZ6KnDbjrosUOW3GjWljV6W04cpyIiKicqlH7x2RxfIy0NkAllfGfSblxdn+RERkUucylmUjERFlqc5lLMXDuggRERERUXwcLKdSSiukGBuQozt2tIkH7muWftUgERGlK+sytsjhRVk2EhFRltIoY4tcjtLoWBchIiIiIoqPYdgTqmtYuih5h0oad0ixIqhSeKoyYHrnj2meL4Zhr6cyp1GedYEyp1NemEbRmEbRmEbxMAx7+up478UtR+uYNnExbeyYNnZMG7sqpQ3DsBMREZVLPUcZqfS4IpyIiKjeWBcgIiIaHstRIiIiIiIiz8S4T4BoGMeONnHs6LjPgoiIiMaFdQEiIqLhsRwlIiIiIiLycGU5EdUS9+gjIio/5uVERERE6WMdi4iIiIjqhIPlRFRLy8tAZwNYXhn3mRAR0bCYlxMRERGlj3UsIiIiIqoTDpYTxcBZ1dXDPfqIiDxlLuOYlxMRUZ2VuQynYmMdi4iIiIjqpNHr9cZ9DqWyvr7OBDOYmprC+fPnx30amdl/UxedDa+x+MB9xZhjUvU0Lxqmd/6Y5vnKO72np6cbcV43SrnLeyja1NQUrv2+s4Ur44qG91I0plE0plE0plE8w6RTHuVumZX13sujnVrWtMkD08aOaWPHtLGrUtrELXeJiIioGNgjShQDZ1UTEVFVsYwjIiIqJ5bhREREREREo5sY9wkQlcGxo00cOzrusyAiIkofyzgiIqJyYhlOREREREQ0Oq4sJyIiIiIiIiIiIiIiIiKi2uFgOZXe8RNd7L+pi+MnuuM+FSIiIioB1h2IiIiojFiHISIiIiJKHwfLqfSWl4HOBrC8Mu4zISIiojJg3YGIiIjKiHUYIiIiIqL0cbCcSm9uDmi3gbkD4z4TIiIiKgPWHYiIiKiMWIchIiIiIkrfxLhPgGhUx442cezouM+CiIiIyoJ1ByIiIioj1mGIiIiIiNLHleVERERERERERERERERERFQ7HCwnIgDA8RNd7L+pi+MnuuM+FSIiKgGWG0RERDQM1iGIiIiIiKhIOFhORACA5WWgswEsr4z7TIiIqAxYbhAREdEwWIcgIiIiIqIi4WA5EQEA5uaAdhuYOzDuMyEiojJguUFERETDYB2CiIiIiIiKZGLcJ0BExXDsaBPHjo77LIiIqCxYbhAREdEwWIcgIiIiIqIi4cpyIiIiIiIiIiIiIiIiIiKqHQ6WExERERERERERERERERFR7XCwnIiIiIiIiIiIiIiIiIiIaoeD5UQ1dfxEF/tv6uL4ie64T4WIiIgULKOJiIgoLaxXEBERERGF42A5UU0tLwOdDWB5ZdxnQkRERCqW0URERJQW1iuIiIiIiMJxsJyopubmgHYbmDsw7jMhIiIiFctoIiIiSgvrFURERERE4SbGfQJENB7HjjZx7Oi4z4KIiIh0LKOJiIgoLaxXEBERERGF48pyIiIiIiIiIiIiIiIiIiKqHQ6WExERERERERERERERERFR7XCwnIiIiIiIiIiIiIiIiIiIaoeD5UREREREREREREREREREVDscLCciIiIiIiIiIiIiIiIiotqZGPcJZMlxnCsA/DKAmwC8FMA3AHwcwC+4rvt3yuumAfxHAD+4/aPfAXDMdd1ncj1hIiIiIiIiIiIiIiIiIiLKRdVXln8bgG8H8LMA/j6AHwVwA4CPaq/7CIDvBvD923++G8CH8jtNIiIiIiIiIiIiIiIiIiLKU6VXlruu+wUAP6T86IzjOG8H8HHHcS53Xfec4zivhDdAfr3rup8BAMdx3grgU47jOK7ruvmfORERERERERERERERERERZanqK8tNLgdwCcCz2/+/DsAFAJ9WXvMIgIsAXp3vqRERERERERERERERERERUR4qvbJc5zjOXgD/FsAHXNfd3P7xCwF83XXdnrzOdd2e4zhf2/5dwGWXXYZWq5XH6ZZKq9XC1NTUuE+jVpjm+WJ6549pnq+ipvco5W5Rr6lImEbxMJ2iMY2iMY2iMY3iyTKd6tre5b1nx7SxY9rYMW3smDZ2TBsiIiIal1IOljuO8ysA3hXxste5rvug8p7dAO4F8Ffw9jAfyrPPPhv9ohqamprC+fPnx30atcI0zxfTO39M83zlnd7T09OxXjdKuct7KBrTKB6mUzSmUTSmUTSmUTzDpFMe5W6Z8d6zY9rYMW3smDZ2TBu7KqVN3HKXiIiIiqGUg+UAfh3Af494zVfkH9sD5f9z+78/4LruN5XXfRXACxzHacjqcsdxGgC+Zft3RERERERERERERERERERUMY1erxf9qhJzHGcKwO8BaAD4ftd1z2u/fyWA/w3gNa7rfnr7Z6+Gt2/5K1zXdXM+ZSIiIiIiIiIiIiIiIiIiylilB8u3B8rvA3A5gAMA1IHyp13X7Wy/7vcAvBjAke3f3QVgzXXdN+Z3tkRERERERERERERERERElJeyhmGP63sAfN/2v1e1370OwIPb//4RAMcBfGL7/78D4F9kfXJERERERERERERERERERDQelV5ZTkREREREREREREREREREZNIc9wkQERERERERERERERERERHljYPlRERERERERERERERERERUOxwsJyIiIiIiIiIiIiIiIiKi2uFgORERERERERERERERERER1Q4Hy4mIiIiIiIiIiIiIiIiIqHY4WE5ERERERERERERERERERLXDwXIiIiIiIiIiIiIiIiIiIqodDpYTEREREREREREREREREVHtTIz7BMpmfX29N+5zKKLLLrsMzz777LhPo1aY5vlieuePaZ6vvNN7enq6Eed1o5S7vIeiMY3iYTpFYxpFYxpFYxrFM0w65VHulhnvPTumjR3Txo5pY8e0satS2sQtd5NQy+gqpVWRMZ2zxzTOHtM4e0zj7KWVxmHlM1eWUyparda4T6F2mOb5Ynrnj2meryqmdxWvKW1Mo3iYTtGYRtGYRtGYRvEwndLHNLVj2tgxbeyYNnZMGzumTXxMq3wwnbPHNM4e0zh7TOPs5ZHGHCwnIiIiIiIiIiIiIiIiIqLa4WA5ERERERERERERERERERHVDgfLiYiIiIiIiIiIiIiIiIiodjhYTkREREREREREREREREREtcPBciIiIiIiIiIiIiIiIiIiqh0OlhMRERERERERERERERERUe1wsJyIiIiIiIiIiIiIiIiIiGqHg+VERERERERERERERERERFQ7HCwnIiIiIiIiIiIiIiIiIqLa4WA5ERERERERERERERERERHVzsS4TyBrjuP8NIC3ApjZ/tGfA/gV13V/d/v3DQC/BOAIgGkAfwTgp13X/fP8z5aIiIiIiIiIiIiIiIiIiPJQh5XlTwF4B4DvBvC9AB4AsOI4zndt//5nAbwNwDEA1wL4GoA/cBxnagznSlQJx090sf+mLo6f6I77VIiIiCqNZS4RERHFwToDERFVFcs4IhpV5QfLXde9x3Xd33Nd94zruquu674LwHkA122vKv8ZAO91Xfe067pfAPDjAKYA/Mj4zpqo3JaXgc4GsLwy7jMhIiKqNpa5REREFAfrDEREVFUs44hoVJUfLFc5jtNyHOeHAewG8GkAVwJ4IYD75DWu6z4H4JMAXj2WkySqgLk5oN0G5g6M+0yIiIiqjWUuERERxcE6AxERVRXLOCIaVaPX6437HDLnOM7fB/AZAM8DcAHAm13X/V3HcV4N4BEAL3Vd9yvK6+8G8O2u675BP9alS5d6rVYrpzMvj1arha2trXGfRq0wzfPF9M4f0zxfeaf3xMREI87rRil3eQ9FYxrFw3SKxjSKxjSKxjSKZ5h0yqPcLTPee3ZMGzumjR3Txo5pY1eltIlb7iahltFVSqsiYzpnj2mcPaZx9pjG2UsrjcPK54mRj14OLoCrAewBMA/gtx3HuXGYAz377LPpnVWFTE1N4fz58+M+jVphmueL6Z0/pnm+8k7v6enpWK8bpdzlPRSNaRQP0yka0yga0yga0yieYdIpj3K3zHjv2TFt7Jg2dkwbO6aNXZXSJm65m4RaRlcprYqM6Zw9pnH2mMbZYxpnL600DiufazFY7rpuB8CZ7f/+ieM41wL4VwBu3/7ZtwL4ivKWbwXw1fzOkIiIiIiIiIiIiIiIiIiI8lSrPcsVTQA7ATwBb1D8JvmF4zjPA/BaeHuaExERERERERERERERERFRBVV+ZbnjOO8F8LsAngQwBeBHANwI4J+6rttzHOfXAbzTcZwvAVgF8Avw9jX/yFhOmIiIiIiIiIiIiIiIiIiIMlf5wXIALwTw37f/PgvgzwD8Y9d1P7H9+/8HwC4A/xnANIA/AvB613W5yQARERERERERERERERERUUVVfrDcdd1/FvH7HoB3b/8hIiIiIiIiIiIiIiIiIqIaqOue5UREREREREREREREREREVGMcLCciIiIiIiIiIiIiIiIiotrhYDkREREREREREREREREREdUOB8uJiIiIiIiIiIiIiIiIiKh2OFhORERERERERERERERERES1w8FyIiIiIiIiIiIiIiIiIiKqHQ6WExERERERERERERERERFR7XCwnIiIiIiIiIiIiIiIiIiIaoeD5UREREREREREREREREREVDscLCciIiIiIiIiIiIiIiIiotrhYDkREREREREREREREREREdUOB8uJiIiIiIiIiIiIiIiIiKh2OFhOVGPHT3Sx/6Yujp/oVvLziIiIqq4sZWtZzpOIiMqPZU598LsmIspOFnks820iKioOlhPV2PIy0NkAlleq+XlERERVV5aytSznSURE5ccypz74XRMRZSeLPJb5NhEVFQfLiWpsbg5ot4G5A9X8PCIioqorS9lalvMkIqLyY5lTH/yuiYiyk0Uey3ybiIqq0ev1xn0OpbK+vs4EM5iamsL58+fHfRq1wjTPF9M7f0zzfOWd3tPT0404rxul3OU9FI1pFA/TKRrTKBrTKBrTKJ5h0imPcrfMeO/ZMW3smDZ2TBs7po1dldImbrmbhFpGVymtiozpnD2mcfaYxtljGmcvrTQOK5+5spyIiIiIiIiIiIiIiIiIiGqHg+VERERERERERERERERERFQ7HCwnIiIiIiIiIiIiIiIiIqLa4WA5ERERERERERERERERERHVDgfLiYiIiIiIiIiIiIiIiIiodjhYTkS1cPxEF/tv6uL4ie64T4WIqHaYBxMREdUT6wBERETFx/KaiOqOg+VEVAvLy0BnA1heGfeZEBHVD/NgIiKiemIdgIiIqPhYXhNR3XGwnIhqYW4OaLeBuQPjPhMiovphHkxERFRPrAMQEREVH8trIqq7iXGfABFRHo4dbeLY0XGfBRFRPTEPJiIiqifWAYiIiIqP5TUR1R1XlhMRlUxd9hG6487nanGdRHmrSx5C1cd7mYiI0sRyhSgbfLaISBQ1PyjqeRFRfjhYTkRUMnXZR+jkYqcW10mUt7rkIVR9vJeJiChNLFeIssFni4hEUfODop4XEeWHg+VERCVTl32EDi20a3GdRHmrSx5C1cd7mYiI0sRyhSgbfLaISBQ1PyjqeRFRfhq9Xm/c51Aq6+vrTDCDqakpnD9/ftynUStM83wxvfPHNM9X3uk9PT3diPO6Ucpd3kPRmEbxMJ2iMY2iMY2iMY3iGSad8ih3y4z3nh3Txo5pY8e0sWPa2FUpbeKWu0moZXSV0qrImM7ZYxpnj2mcPaZx9tJK47DymSvLiYiIiIiIiIiIiIiIiIiodjhYTkREuTt+oov9N3Vx/ER33KdCRGPEvICIiKicWIYTERERUd0dP9HFtdedZZ24AjhYTkREuVteBjobwPLKuM+EiMaJeQEREVE5sQwnIiIiorpbXgY6HdaJq4CD5URElLu5OaDdBuYOjPtMiGicmBcQERGVE8twIiIiIqq7uTlg507WiatgYtwnQERE9XPsaBPHjo77LIho3JgXEBERlRPLcCIiIiKqu2NHm3jnO6Zw/vz5cZ8KjYgry4moVri3HhERERUB6yRERGbMH4mIiIgoa6xzkoqD5USUirIULtxbj4iIqHjKUo9IE+skRERmzB+HV8fylIiIqE5Y1qeHdU5ScbCciFJRlsKFe+sREREVT1nqEWlinYSIyIz54/DqWJ4SERHVCcv69LDOSSoOlhOVjMweu+PO58Z9KgFlKVyOHW3igfuaOHaU2R8REY2GM7rTU5Z6RJpYJyGivJStvGL+OLw6lqdERMMoW9lIJFjWp4d1TlI1er3euM+hVNbX15lgBlNTUzh//vy4T6MW9t/URWcD2LkTuP8TzMjzwns8f0zzfOWd3tPT0404rxul3OU9FI1pFI8tnaRMbreBB+6rd5nMeyka0yga0yieYdIpj3K3zKp+741SXlU9bUbBtLFj2tgxbeyqlDZxy90k1DK6Smk1LnHKRqZz9pjG2WMaZ49pnL200jisfK53rx5RCcnssYPz7XGfCuWIM16JiIaTZf7JGd1ERFQGLK+qgW1CIqL0sGysH5ajRBSGK8sTqutM+yicPZM/pnm+xp3edVy9OO40rxuuLK+nOqRRGvlnHdJpVEyjaEyjaEyjeLiyPH289+yYNnZ5p02Z2oS8b+yYNnZVShuuLK8GpnP28kzjMpWjaeJ9nD2mcfa4spyIiABwxisR0bCYfxIREVEVsE5DREQ0PJajRBRmYtwnQERE0Y4dbeLY0XGfBRFR+TD/JCIioipgnYaIiGh4LEeJKAxXlhMRUeaKti9Q0c6HqE6K+vwV9byIiIioeI6f6OLa686mWm9gXYSIiIiyIHWMw0dY1yCyqfxgueM4P+84zuccxznnOM7XHce513Gc79Re03Ac592O4/y14zjPOY7zoOM4rxrXORMRVc3yMtDZAJZXxn0mnqKdD1GdFPX5K+p5ERERUfEsLwOdTrr1BtZFiIiIKAtSx1hdZV2DyKbyg+UAbgRwAsCrAewHsAng/3Uc5wrlNT8L4G0AjgG4FsDXAPyB4zhT+Z4qEVE1FW1foKKdD1GdFPX5K+p5ERERUfHMzQE7d6Zbb2BdhIiIiLIgdYzZWdY1iGwavV5v3OeQK8dxdgM4C+CA67r3Oo7TAPDXAP6T67q3b79mF7wB89tc132/+v719fV6JVhMU1NTOH/+/LhPo1aY5vkaZ3ofP9HF8rJXsTl2tA5znDy8x/OVd3pPT0834rxulHKX91A0plE8dUunYcqduqXRMJhG0ZhG8QyTTnmUu2XGe8+OaWPHtLGbmprCr/7a2Vq2Y6PwvrGrUtrELXeTUMvoKqVVkTGdszeuNK5TXyvv4+wxjbOXVhqHlc/VzgnMpuBd9/r2/68E8EIA98kLXNd9DsAn4a1GJyIaK4bjIyKiPLHcISIiolGxPkFEREXFMoqIdBPjPoEx+A8AHgPwme3/v3D777/VXve3AL5df/Nll12GVquV2cmVVavVwtQUo9bniWmer3Gm96GDz+HUUgcH59uYmto1lnMYB97j+Spqeo9S7hb1moqEaRRP3dJpmHKnbmk0DKZRNKZRPFmmU13bu7z37Jg2dkwbu1arhUMH27Vsx0bhfWPHtAmnltFMq3wwnbM3rjSuU18r7+PsMY2zl0ca1yoMu+M4dwL4YQDXu677F9s/ezWARwC81HXdryivvRvAt7uu+wb1GHUNSxeFoSbyxzTPF9M7f0zzfDEMez0xjeJhOkVjGkVjGkVjGsXDMOzp471nx7SxY9rYMW3smDZ2VUobhmGvBqZz9pjG2WMaZ49pnD2GYU+R4zj/HsCbAOyXgfJtX93++1u1t3yr8jsiIiIiIiIiIiIiIiIiIqqQWgyWO47zH+APlH9J+/UT8AbFb1Je/zwArwXw6dxOkoiIiIiIiIiIiIiIiIiIclP5Pcsdx/nPAN4C4ACAdcdxZI/yC67rXnBdt+c4zq8DeKfjOF8CsArgFwBcAPCRMZwyERERERERERERERERERFlrA4ry48CmAJwP4C/Uf7cprzm/wHw7wH8ZwB/DOBFAF7vui43GiCiTB0/0cX+m7o4fqI77lOJrYznTFQHfDbjYToRERGVn5Tnh4+wXCciIkqK7eJsMX2Jyqfyg+Wu6zYsf96tvKbnuu67Xdd9keu6z3Nd9x+6rvuFMZ42EdXE8jLQ2QCWV8Z9JvGV8ZyJ6oDPZjxMJyIiovKT8nx1leU6ERFRUmwXZ4vpS1Q+lR8sJyIqsrk5oN0G5g6M+0ziy+Ocj5/o4trrzqY6A5OzOqnqkjyb8jzccedzmZ/XqNJ+dsuY7xIREZVBnvVtKc9nZ/Mr19meICKiqmC7OFtZp2+R6yRFPjeiMI1erzfucyiV9fV1JpjB1NQUzp9n1Po8Mc3zNc70Pn6ii+Vlr6J17Gg95jjtv6mLzoZXsXzgvnSuOYtjVkne9/j09HQjzutGKXeZT9rJ87BzJ3D/J4r9PMi5tlpAqzmevJD3UjSmUTSmUTSmUTzDpFMe5W6Z8d6zS5I2Va9v69fH+2aQtF0PHWzjrT+5Oe7TKSTeN3ZVSpu45W4SahldpbQqMqZz9pjGw0lS58o7jUetD5axH5z3cfbSSuOw8rkcdxsR1Q5nofnqGLpnbs4bxEtzBuYwq255/1FVyfNwcL7d/1mS+34cK8d6vfrlhURERGWS1iqqotbFx7kKr6hpopO266mlzrhPhYiIqC+LcnScZXORIwOMem517AenYuDK8oTqOtM+CmfP5K/qaV60VQljX1m+4lUyyjKjLg3jTPOi3X954MryelLTKMl9P45nZJx5Ie+laEyjaEyjaEyjeLiyPH289+zGkTZlqYvnmTZlSROprx1a4MpyG+Y3dlVKG64srwamc/bySuM6R7As231cxn7wsqVxGXFlORHVVpFnyOXt2NEmHrivaa0gjDKTsSwrFPI2N+eFfN7cBNOGaiNOvit5xsyV2efRev4UlRdmeR7XXneWeQEREVFOitgWjNNuyrJtlUWaZHG+Ul+77dZdqR2TiIgoTJzyLItyNOyYefW3VrFfd1x9P0RcWZ5QXWfaR+HsmfzpaV7G/TzKpMj3+CgzGYs8C3Lcq/lPnvL+XcS0yQJXllefqZxImkZ55hlFyZ/U85g7AJa1FnzeojGNojGN4uHK8uGEtZd479mlmTZlbrOa6iV62hSl7hJXlufLZ8qOaWNXpbThyvJqYDpnL400LmL5m9c5xfkcNY2zrouVua43CuYV2ePKciKKrY77eZRl9tww55nkPaPMjiziqo0iWF72/z0zg1LcZ0RRRikn9BXlWTwXer5XhPzp+IkuNre8SBMyUF63spaIqCqYh49f3O+giO28OPWSuHWXIlyfXsdJ65jjvi4iIqqfJH0HalmVZdSYvPozkn5OmvVhU9qwvk1lxsFyoooowqBC3rIqgNNu5A9znkneM0p4miqEtpHv6/CR9L43eZ4OHQTWnmBFj6phlHJC8qTHHwfQA86cSf+5MOZ7Y17fuLwMdLv+v/MIP09ERNmoY3upaOJ+B0XsaI3Tborbtoq6vjwGnaWO0+t5/x7ls+R8F5eK970REVH1JenbVMvgOPUN9TVJyue8+luTfE7aE+VM6Tfu+jYn7tEoyjs6QkQBVRj0TCqrAjjtzplhznPclYuspVl5ke9rdXX0703OC0D/ear6d0HFk+T5yKuxJs9Br+c9Z0D2+30VoaNcv+61NdSurCUiqoo6tpcKKcZEuKrXv6OuL+06kKm+KOcAjP5Zcr5Atb83IiIqP7UMTho1pgh9FKNIY6KcWqcwpd+469tl/45ovNhKJKLSCiuARxmMTbtzZpiKQpaVi6xm2SU5bpqVF/m+ZmdH/95M5zXuih7Vg/r8JHk+Rn2W7rjzuVjPrTwHC/Pec7YwP9qgsSm/0J+1InSUyzm9+U3tsZ8LERFR2YXVW9S6wTD1b1tbpIgrjKKuL+06UFgbR+p2o3yWnO+o9UMiIqJRRZX7ahms/tv2PvU1aZTP46yXpDFRTq1TFLG/tAj9SFRexbmTiYhSNEpouyIW9iKNSlVWs+ySHDfNyot8X3ffNfr3luZ5FbFjbhhVuY68DJte6vOT5D4c9Z49udiJ1WltirowClN+oaddkfLi227dVZhzISIiKitbveX4iS5OnhqtjWJri5RxhVGcOlCSPVcj64sjbntTpDobERHVg63sG7bcj/O+NCbz2T4nj763NCbKjWswOm76sE5Co+BdQ0SVlHdou2EMUxFK47yzqtgkOW5RKy9pnlcR7rE0VOU68jJseqnPT5L7cNR79tCCfcV00r28wuj5nSm/4L1GRERUbXq9Rd3rWgzbRrG1Raq6wihJPS2svsj6FxERlZGt/Bq23B/mfXH6dfXztH1OnuXxKP1I4+rPZX2F8lCsUQoiopTkHdpuGHpBH6eSlcZ5Z1Wxyeq4SVZNFEkR7jHdMOlXxOsosmHTK+m2EnF/FiVsxXTSvbzC6Pmd6Xrrfq+VKX8jIiJKg9QPGg2vDnDoIEZrSxhWSA/bRhk2rHte5Xla9bS617+IiChd4ygHVcOW+0mjugDxBnD187R9ztwc0GwCm5vD7SUepez9DayvUB4avd6I8ZZqZn19nQlmMDU1hfPnz4/7NGolTprL3rdzcyN2OlAm9/jxE10v5PIB7/vZf1MXnQ2v8H/gPn5fkuZquqCHodKIz4In7B7LOx+fnp5uxHndKOVuVcom0/cmP2u1gFbTu7eloZbk+cirLNHzu7LJ414qexlQlectS0yjaEyjeIZJpzzK3TLjvWeXZdocPtLF6iowOwvcfddoZZ9ajs4dwMh1F1u5rP78c5/ZM5A2ZS/P08Jnyo5pY1eltIlb7iahltFVSqsiYzonF6ccVPsY3vmOwbK0qPRrS7ufI6s6xNTUFK79vrOlqp+UrR+XeUX20krjsPK5+HcaEQ2NIUqKTZ9NyFlyZmmsmuCz4OE9Vk6m701+1usNt9d5Emk8P0XdeqFI+HwSEVHdrD2x/ffa6MdSy9Est66KKq9ZnhMRUZ3FKQfL2kcXd5V4WsdPU9nqJ2W9R6jc2GNJVGFlKwhHUZZwMmHnmWYlqyzpEYeaLsOmURbPQhnTmAOW2cvsvtDW+cl3uTA/3F7nSczNeSvYswoHlgU+n0REROnKomxNWkeP25bKcuuqWOV1gvgMZayzEBER2cQpJ4vWXx23LE57a5e0jh9HHv0NadZpinaPRLnjzudYn6sAhmFPqK5h6aIw1ET+ipLmRQmLknW4u7TSO6+wfFUI/1eUe9ymCmmsYhj2dGRxX2R5r8VNo7Ld72mfr6RTUcq8Iip6nl0ETKNoTKN4GIY9fbz37ExbI42rLlCEc1CZ7puk51i0axpFWcPq5o35jV2V0oZh2KuB6Zy9IqRx1mXxuMv6vNJ43NepyrvvZv/ru+h0inHtVcUw7ERUeEUJi1KWGWd5nWdR0qMMKyWGPceipDEVSxb3RdxjZvG8yTFnrizX/V7kkPRERERlVIS6bxHOIUrSc8zymvJoi6mfwXoSERGVUdb1izLUX0ZRxH4jqZOcPJVPhMRDC+3CXDsNL7eV5Y7jPA/AWQCHXNddyeVDM1DXmfZRijALrG6KkubHT3S9vXIPZD9Ta5wr+tJO7zyupQgrIEeZVVjHmY/jxJXl5affy3HygKg04vPhCawsX8mnzBNZ5+VpHb9uz9swmEbRmEbxcGV5+njv2b3/AxM4eaqTW5uiCG2YuIp+32Rdjzt+oouTp7x/9/eLX/H+5spyu6LfN+NUpbThyvJqYDpnj2mcfd0n6zQuYr+RXkcZ9byiviPex54s7+VKrSx3XfebAL4GYDOvzySi7OW5x2qVZqonuZZhVwQUIb3SmD15+EgX19/YxeEj2cwErPoMT6oP/V5OIw9I+/kYR7SJND8z6z3KTLLOy4tQVhARiTJEJaqbk4udXMsJlktBozwTWbdzlpeVzzrg15MA4NrrzvI5JiKiXJW1HlmUuk+VIm8eO9rEoYP+eY16bxTlOyq6sqdT3lM93g/gXzqOsyPnzyWiHGRdKSli4SuSXnuSaxm2oClCSL80JlOsrgb/ToN6/nlO+KDqKVJjTL+X08gD9GParjduOuQdCkv9zHFW1kc5B4aEI6I6KUKeXTdRZXjeYSXTKJeirinv8OSjGOWZyLqdI9/VoYPB1UPLy0Cnw+eYiIjyVdZ6ZJK6z/ETXdyw3/uT9hZ8J08Nl35J6xt59aOp5zXqvcF+k3jKnk65hWEHAMdx7gDwIwB6AO4H8Lfb/xY913XfkdsJDaGuYemiMNRE/oqY5kUMu5KWuKGKgcHOglGNI+xvlDy+a0nzw0e6WF0FZmeBa66GNZxLklAvVb5Xh8Uw7MMpyr00bKijpGl0w/4uul2g1QIeut//HFM6mM4p7VBYcaSRh456LxUxH09bEeslRcM0isY0iqfKYdjHlV/W+d6LqstkmTZZhWqMuqa06m9haSN1pmYT+OQDw39GnGeiaKHrj5/oYuUe4MDNxTifoqlzfhOlSmnDMOzVwHTOXpppfPxEF0ungV4PWJiPXwYVrRwNo/Y/x63HxEljvV8bsPe/jmoc/WhZtzGYV2SvUmHYt90C4BKADoDXApgHsKD9IaKMZTWDq+yzh0YxN+f/O40ZjFmufE7j+8/zu777riYefrCJu+8KzgTUryPJLME636uUrlHvpSKsOhrG1hYC521Kh8Ul75yWTvs/00NhpSEqDYsQPaII50BEVAbML/M3znpxVvWXqGuauXL77xn7MfT6RVh9I+x3jRGHy+I8E0VbSXfsaBOf/fQePsdERJSrY0ebaDWBbjdZmZhWOZrlimk59syV3kS8VstezxnmPPRoMVnVLY6f6GJzK/z8s8A2BsWR693huu6VEX9eluf5ENVVVgXeOAqeooRAjjsAlDRUcdLvKM7xw46dVnh1Oc7hI+l+P2rHl34dSTr60rpXi3L/0fiMGm7K9jyqr4tzn0Xd/2ndqwvz3uc0GsGB8LB02NoKhlxPu6woSgcx8wMiouqrYl4/zs7DuTmvw3dzM73tWfqrww7YVw6tPbH995r9OHr9Iqy+Ib9bOu1PJpQ60/wt8c456X2lvsdUD6zivUpERMVQ5DJmmEmAcd4TZ0u6UbedC0tXOfbamhex5qH77XW3YfpI9Prg5G7v55OTCS8iwvIy+tEKOXBNRcM7kqiGyrqq1lRpKMogCZDurP9hv6M4xw87dlrpKcdZXR1+0P/a684OVBDVNJbrmJnxOqUA5N7RV6T7j8oh7iQP9XVx7jNT/mNqtEXdq3FXacsqqbDdfBbmleuJ+NxR5LG3aRzMD4iIqo95/Wj08vbY0SYmWslXgIUZtT1ke03Ye+R3vZ7/2UkmIQxzX6nvMX1WnAmZ41SU8yAiouSKXB86drTZX2BjK2NM9ZFh+3PVn5uijiYp78LSNUm/Rxp9JOvrwb/TUtYxCaqH3AfLHcf5LsdxTjqO87jjOJccx/nu7Z/f7jjOP877fIjqqCihR5I2kE2Vhjgh9IpCQs00m9GVgmG/oziVjrBj294f97tSwwK1294+43K8JKEMl5eBTife4OCZM959sbgUemqZYCWP4tKfDbln1OfRtkJomOdS9gZXG222Z1Gl57O25/aqq7zjqQPiuixCrluNuMNuGo195gdERNXHvH40pvJWX12eNNy5/rNR20O219jeo65kl9XkSSP96G3aNKIKxZmQOU5FOQ8iIkqu6PUhUxmTZDGBqRy2RXFRQ4qb+kDCtpPUhfVxJ+knTqPff3Y2+DeQvG/Y9LqohR5E49TohS0JStn2YPjvAPg0gAcA/BKA73Vd908dx/nXAL7Pdd1/ktsJDWF9fT2/BCuRqakpnD9/ftynUStVSPP9N3XR2fAqEQ/cF12AHz/R9QZ9DvihWkzH6HdYzKUX0iWN9A673izOOU1xv6uw1+m/i0qPlXuAAzdHp8cN+7v9ED4P3W9/bZI0Lvr3kYW885Tp6elYOziOUu4WKZ+M8wwlzRPjPG+Av+eU6X2f+8yeQBqp+SzghQ8DBp9b03HzpD6j0viMm27W463YQ7aa7qU65hNhivS8FRXTKBrTKJ5h0imPcrfM6nbvJSnD0kwbW3mr1k3Qs5frprqP+jNZSZZX2Tw1NYVrv+9s7HqIre6WpJ00qqg6z8BrE6Sn+vp3vmNP6H2T5Dyqpm75TRJVSpu45W4SahldpbQqMqZz9rJI46j+47kD3uD1zIy3NYtezqXRBypl4syVXuh0dTtJ23GzKv/jpHGcMj/O+cnCDSCdvq2yYF6RvbTSOKx8zvvuew+A/+a67j8EcLv2u8cAXJ3z+RDRGCXdW820AlNfpQkUd5b6MOHP48yuSzoDb5gZe3FnjcYJTxgVylAqaAfn27E6TuLuB5jkvkgy85PqLe79MUy4zyhhq8Xld6YB7bDPUfPZ5WXlPQf894pR89ikK8dUeqizUfdrH2Z2c1HLmiJiPkpEVCxplmFJ8njbSqc4EXX015l+llXZbFvRfu11Z43tURvbtSUJ+W47n7Cfq9IMD69/XpL0H2bVG+sTRETDq1Meaipj1LJVfr/2hDmyXtyyPU4/79qav2XksFFhsvjukpbhsoq+0fCjAZmOZepHilL0SAVUH3mvLP8mgB9wXff/dRynBWAD/sryGwH8vuu6z8vthIZQ15n2UTh7Jn9VTfPUZu+tjD5LPcnM+FHFWWUx7GpUfXZg0Wfsyfnt3OmtLLfNbEy6UlzCtC/M+683HUN/bRqrVsuAK8uHk/T5M0ljhfKwK77f/4EJnDzV8WY7PzH4LJjypbTy2CSRKHRJzmGoKCbLwOaWt4eqaQV+0nOoMkmvQwfbeOtPbhpfU/RyJy9VrbuliWkUD1eWp69u916SMiwqbYqSx9vq+0kcPtLF6qoXcvTuu8LbZPrPsow4E7c9l9Z3YVoNZ2o/6e0k9b7Kov1clHttVHXLb5KoUtpwZXk1VCmdi5qHjjON9fqQRK5sNoFPPjBaGsWpa8WtO4waqVRNY1N/h16GD/T/KK8XoVF+Iq572HSIaxxRAKuUVxRVFVeWfw3Ayyy/exWAr+R4LkRUQHFn0YfN8ktrT/YkM+NHneUXZ5WF7bOi0ky/jmFn7OU1C1XO7+B8O/Q7iNpbWX9ttwtMTAQrSqbj66/lDEcKk+T5s92jw+yXZTqP/vG046jv1491crGDzgawujp4DrZ8Ka08NunKsWHPIekzLN9Ho5HeOVSZpNeppY71NcxHiYjGT60DpFmG5Z3Hh9WnTPX9JFZXg38L/RpldZXsUSqfH9V2HDaqTtz2XFrfhWk1nOlc9M/Lum7E+gQR0fDKkofmuQLeVm41LENpaUTTUcXtdw7rG15cShZVRz4TMJfhAIwrzqV/ZHY2PMrPMHWBtCMDjXq8OkVhoKC8e/c+BuDfOI5zvfKznuM4swDeAeDDOZ8PERVMVKEa1nCPK82wyfp5JSmIhw2TJ5+1uORVYIDwtNBDNS8vD7cSMqtr1Mk133brLsxc6f1sZiZ6kkDY+dnCVUeFclTPp+4DYuQzdTYDMN7rttCg6jHU+9wkzrN37GgThw6a8yxpPC2dDv4bAA4ttIPnq7036vpHeU3Ys5Xmc5f0WPKdzd8yfDlTJ+oEJxvmo0RE45fG5DyTvPN423WEtd3CJg6qZmeDfx8/0cUN+72OaLX9ZBqYj9N2NE32vWG//xlx2jJAsgmNw3yvcSc05v3dsz5BRDS8suSh49ruTMrJVsu+zaOc28lTGLk/BIi/YAwI9k0cP+HtC24a9I4in7kwb+7vsE3Qk/6Ru+9qDpyL2s98+EgX19/YxeEj6W/9mdfxuOVefeUdhn0ngNMA/jGArwJ4EYCnALwQwH0A5lzX3cjthIZQ17B0UYYNgzCOsBhVUdfwHqawMPp9FHVfDRN6KCq9hwn7N2wIJEmDzc1gyJw4BkLjJHj+9LSP8/zGuUZb2k1NTeHa7zvbfz964eHQ44aTLGroqVGNmp8yDHt8cg81m8BEyxyG0kS9R+X1rRawteX9PuzeXjoN9HrDhRWVUGIqCSs2NTWFX/21s5H5qun642wPoaZR0vMeRx3B9plVLHPTTt8qplHamEbRmEbxMAx7+rK694rU3o2qK9vK93G29QPhwJ/wI+kkDe8p16bWu4DorWvUbW7U10taHlqwb0FivR7l3NXjN5ve4LvtusLSc9R6WxaYn9sxbeyqlDYMw14NTGe7tOo4ehqPa7uzsK3t1PqIRJ+Ju12m2vcKIJX+a/VcZ2cHt9TTJbmPk6a/fo7X3+h3PrV3JL8/ilB3HuYeZF6RvcqFYXdd95Lruj8A4PUAfhvAbwL4CIB/6rruDxR9oJzSx5k6lFTYSmu5j6Luq7gz95Kuhp5oeYPXUfdznFDyUZ/1wH1NXHWV93/balQTdQVr0udPT/s477eltTrTUFZmmNJOfb9tdbj8+9HHAMTo3s069NS4wvUwP82P3ENAMAxls+lNYrGF1lxe9p89ef7VOYu29x472kSraX5G1BVJtntuYd7/d7Ppfe5VV3mNmjvufC5Wvqp+nh521MSURkmfjXHc00V6jrLOS4p0rUREVVWkvDZqRVnadeQ0rl2OIdvFnDzl/Vw6jKPqQEKuTR0oB6JX2c9c6dWd9NerkbCSOHa02e80lyhXrZb3GbYVXv3PTrA9lUqufWbGq/sdPjJYv2C4USIiSiqrOk5YfSXL8krd2k5fOa7WR0xhyE3HMkUY1FemR61Ut0UhlOMfOugNlKcZcnzYyHySHtPT/u/ibp2pKkLduSxRGKpuHPXTsXzjruve77ruO13XPeK67s+5rvsH4zgPGr+y7JdCxRMWSnuUvW7VUDZJC+ao0H96iL3HH0eswV2btSe2/16Lfq2k15kz/nviPn/y3jfO+QPcMmDWbIZPOlAHB9XCTd0PUO0k0o+lfldq55J8R4tL5k40vSAdKGAzXDOVd8Vu1MkXFM5UOZP7cmE+GIbSNmFGzVfkPl1d9Rs8cv93u154dFs4d30wXo4rk00Wl4J5jXSGAuiHaJeOWGlQfejDnYGQpGED4jK5pdXyZ0KbzteURkmfjTTqCEkr1+Oul6jnm3VeMu5rJSKqgyzy2qw6jtLuGLRde5yJfvox1L1D1QnSUgdS6//W9FHq/7Lvpunc9t/k19u+/GUvQo7aMW47/vETXltJ/pgGpeW8pXw/drSJh+5v4pMPRA8KxA2NbtQDzpwJ1kXVOmcROqaJiKhcxtGeNG1nEqdOFOd1srVd/7NW/H/LoDUQb1tQtU6lLwJSj6//Xyd9uI8/HrwOwD8HObdOB3jjnP06TYuODh8x94Gb0stWf9O3Jjx71vt5qxVv60z9s0a5rzj5r1rGUT/NOwz7GoCTAD7muu6juX1wiuoali4KQ03kr+5pbgpFk0aoFlvYnfd/YAInT3WGPrZ63EYjuJpUrkE9fyA6RHqSsDBq6EEZAIt6j5zP5hYGQji3d0SHRJeVHyoJD9RoApcueTMO712OHyZID4Uoewktr3gDj7ZwSOr9EhXOfVSjhsxWjxPnfk4rtCLDsJuZwmepoUAHQnOtDD5f+n1rMjvrNbrCtlfQv2vTceXZVDUawKf+cDBcpzyjrRbQaiLWMyLXODPjpYHkD3Huv3GEUyvb8zFwv63kl16jlqF1r5fEwTSKxjSKh2HY01emey/vsNq2tBm23FDrL3GvwVS/lp/pYdVNW+OY2kLAYHsrrM4mbUM1/T/3mT39tLG9V79GvT4UJ4S6tB9nZ4G77xoMCxtnWywJ8z4zM1jnzKLOUaZnKm9MG7sqpQ3DsFcD0zm+YesFo4QIj9s3HLfudPyEeZtIdWu7qC1cohw+0u2vUL/7rmZoP4l8rmyjZ+qzNm27p5+nus0l4C/WsL3edL1R9beofueo/rJhtgvVjXPbTeYV6dPvmcqFYQewCOAQgD92HGfVcZx/4zjOd+Z8DkRUAfpMs1FWhJuOq1d+Ti52Rjq2rApttfyVEbZZdidPob/6PGzGnR7GT/+96brmbzHPgDS9T84H8N4roXRmZ6Nn+i0v+/+enfX/LSsZLl3y/n/xYjAkexT53NlZLx23trz0mjvgVTJl9ax+Xmr4QdOK+LRno9pCZicRdwYdV4dmyxQ+S+5j/buRGbUr96C/qkgNsalTV0nJSnN1Jbbq8BG/s1SPoqGScKHq55nmRR472uyHFd3a8p/1mZnwe0quUVamA95n2ULIm96bZyirsj0f6vnmnV5cVUZEVA5FKduGLTfCokrZmFZgy89US6dhjI5jagup569HapKV5Go7Rq5TbVdce93ZwEook8lJ72/TarCoNqx8ltTlZGJw/5wSbIsl0YXuvsscIUmtcxR1ZVZRz4uIiPJpT+rllalOZDqPqEigaqSVbtebXGZqhzeb8RYehZVVEiV0ddV77aOPeavCH31s8LVSVsvWelEr0dUQ6Orv77jzOWwqkwvVgfJmM3wCgFr/aTa9Pinp/1GvVVa4b22ZB/5t/Ru2kPXDKEodmdIxjj7EXFeWC8dxroM3aD4P4EUAvgh/xfmXcz+hBOo60z4KZ8/kL600T2M1dhHYVoSn5f0fmMDJxU4qs+1ts+nUlZ6Bmf/KClbbylLb/8POQZ0taVqBEbUKNOzeMa6YWPFXMsjfcwcQWIH+8IP+6opDB9t4609uWj/v+hv92l1/hXnIvaymb9jKc+NK2u3jmtLJlr6jrs7QV/Bm/YxyZXk0/T7WVwTJinN1VVGjAeyY8Bs1i0teh6dUv1qt4IooeQb02czq/f7wg8H7QGYmC8kD9RnLputZuQfY2PAbS3FW0KtpoTZo9CgZYe8vm1Gji5TBqPmW/rxVpX6RJtaXozGN4uHK8vTx3rMLXVm+kn0ElKjyRF39JCulbHV1tW50zdWw1mXUz15cQn9Vl7rKTG8/2CJrAV7kH1M0HlMb1nS9tjqd7edJI5bp6W1qMyUt17N4psa5YixNzG/sqpQ2XFleDUzn+IatF2TVbxP3PNQV0dJPo0eJVI8JILSMjeqf1svZTsf/nUTjTBJl1PR/vT9p/+u7gc/R6Z8bFjFTXe0+0RqMUAj4v0vaFxDWXx4r+uoY+x+YV2Qvj5XlYxksF47jNABcD2/g/CCAK1zXnRjbCcVQ186DKMwQ8pdWmhe9wRm3sMu6syave1zv8NC/n6hwPXHD+unhc+KE3tOPlda9ow8CynF37gTu/4TfOaN32qgDhHolzXQ+6jUbO5RWzBVf9XPzDousnnfWzygHy4dnC3ulUkOh642nRx+D8bkHzM/+NVcPNsjCJoOEmZqawq/+2tlAQ0iNKiHCJiHZ8i0Rtl3DOBo8wxxTGpdFLSuLQH/eil6/GAfWl6MxjeLhYHn61DQdd2db0Qxzv6WZhlHliTqZUfb2tG2FpLc7AhP81gbbUPp2VPrgsan+ZAptCviTodV2hKkNm6T8tL12lC2obJ38Scv1YfPzJBOyy4plnV2V0oaD5dXAdM5eJoPlYeWIoS9leSV8SzxVVBmrb3mnR8FRP3PugN8fpIq9zV3ENi5ynJ/8KeCLX+pieho4e9ZcT4n7uWr/1/S0FzFU+lKlXgQgMKA+an0wTh1k3P0PzCuyV8Uw7LpJAN8B4KUA9gC4NN7TIaqfooUo0cPVxA3BkkXoOPUYd9z5XGoh38LOTcLxrK15f+vfj/57/br1/5vS7/iJLja3vME7CX8YFdrEFCJQQiiGhV8Ou1b5nRreXb3mg/N+fGk1rLukhRp2fWE+OqySGnJobW0wpL0pJKP+uQwjTSZ6J+rsrDkUuh7iUzog776riYcfbPYncOjhSY+f6GLtCe/111yN/rN48hQC97BtGwITOZc77nxuILSput2BWDoN67MsHdPyt/r+qO0aovL3LEK5DXPMQwttPocJMe8iorKq8rYUeYWxHiYNo7aTCi1Pel49RA+devxEFzfs9/4cP9EN1G2kk7mzATz+uNemWVzyV5N3lMg709PBczh8xGsbbW35Wy+p4c5VantFb0eY2hZJyk/ba9WfJy2PbduS5VWuh90742iLERGVTdZlfd5bYkR9XpJ+ZPmd2r8hZYttSzz9s9StHSU0udovqm55Z1ujKp8JeP286vYvccta07XofU5yHHfVO7ezZ736SFMrRpN8rlrPWV/36zZqv5KkJZBOnTpOHYT9D5SG3FeWO46zC8Ab4a0m/8fwBuzvgxeG/R7XdS/kekIJ1XWmfRTOnslf2dM8asVzIJzvSvLZ42nMKAvMFgRSW1VoOzdTqBw9nZKGRje9Xg2ZszCPgc8MO2fA6zgBgqtPm03gkw+Er+bWO1yivqOBFT4h1226fjlHNXy6nKst9Lz+WUD+K8nTFndlD1eW20WFFX/t67r9RpAeZlMNddXe4d+HccJrCdPMZZVttrLpOuR5B7xz3LkTOHCzPTynHuJdqNEZJE+Jex7q+cSKaBHxmqSGOWbYvcQViJ6y10vywDSKxjSKhyvL0zdMvbOMhmkjha26t5WBw6RhrBXkIe3HVsvfq9wUCtW0bZVEjZLVZMDgFjnqe4W6Qh2IHx5dvY6o7W7C2mh51T3ift/G960M9wxV+fkTLOvsqpQ2XFleDWVM56xX2KZ9/Kg0jvo8Wz+yvqWhqT/E2B8YUs6FbcGi/ixOP6t6vDgrsNX6g0wQVIVFk1H7bFpNhIadj3P+pnpO2Kr9Kpfpoox5RdlUbmW54zinAHwNwIcB7Abw0wBe6LruD7qu++GiD5QTibxn0VVR2IpnmaEHeIWp7COnp7f6Pej/1o9je5+Nfoy0VhXKcaUjR7W8PLgaQk+nqBX0xhmUPS+sz/6bujh8xA+X0+v5n9ntmleO2lbCymoL0bAUMzJoDQzOJIxaCX7NtWf7q0BsqwjCrl/+ffKUV5kUkr7658uxgODMyLKvXqjy6qi8SBqurnp/n1r0OkkPH/HuF/X+V1chzcz4q4kOHQw+D3IstbEGDK6AMs1c1pnmPZryOfV57/W8fGhj+xzkHtHfJ9EsWi1/4pCcv3yO/H7+Fvt5HD4S/DvquZY0AAZXYY0q7ec6q2esDHWNMpxjVup87URVV4X6H2DOp0ZddaOXebYyMCwN9fOyrYLSX6/WV9TfScSsXm+wM3Zuzq+nzcwMpoG0NYVpoBwYPCeJjCVWV4Nt1Wuu9iZJXnP14LVIhCCpC+rXI9eqttHirppLu2yK+30b39cZrm5UleePiGhcsl5hG3X8tMuiqM/Tfy/lyNoTg2WY9Lnqq8j1usbJU+YImvpnmaJgyuc0Gua+bMAbbL7+xi4md/vbt9jKdekbkXNbXR0cKJf+Iun7nJnxP+PwkS7e/CavT3v+Fv8a5m/xBui73eD1qv1GpnJcjXyoTgjU6wj9wfMDgxMq07g/bPXJsrXPy3reVZV37fMFAN4O4EWu677Bdd3fcl33mZzPgWhkHHwanamyYxoslp+roWVksEXtMFFfc/KUX7CbqN+frVBSzwUAPvzRDjY3k1+nfnzp+Oj1BmfVmdIkqlKo34umipvaGaOuEG00/JBBgNcxpN/X8v61NfOAVaPhV7JM1w34oZylg0qEDfxHVc7iXL8+MKmHFdI/X+6npdP2zysjtbJMw1HDiquzb+V5koaWPmlkdRW47w/Qn7CyvOzfh/LabjfYeFI7RyVvU/Oi5WX/vfL8SRgs/RnSn2f1mej1vD/SiOuvrrI8U/O3eHmAPM/T0wh05rZa5pCnaoNO/XtxyR7WPU7jrEiNiaw6I9QJP0W5Vp2c4+IScO11Zwt7nllgXZCIdEXrtDPlU6MOROpl3jBloG0AVvYM1zuW5fdqfUX9nbStTPWGY0eb2LFdh1pdRWAiHuDVRU4t+nUZW4Qcvb1y9uzga2QCpDogrg90q53qQr8euVYhndhhbT79/VFlU9x7c5jvO2xy+LiN+5kkIsqDWtZnke+Z6hKmPgB10HSUcwhbRGU7HyC8DLNtYamWv6bw5o8+5m/bcviIv7BBjaQpfXCmPlYhfUnr68Gfz8wEP1Pt37YtUgL8fnR16075jNVV4LZbdxkXBal9RFKP0bcF1NnqGrb+aP0+ME1+TMJ2nLK2z8t63lWV62C567qvc133N1zX/Uaen0uUtirsgzGOhqL6mUn2Z5Of93rBwRa1w0R9jUpftal/jq3wVlc2xB24NbEVemolx7SiWUR1aEklbHISxmPItaqDa/Lvq67yjq+HT1crZ2paqd+f7HHTaHivX1xCfyWset0nT/n7GK+uIrCqNCytpHIW1clim0EqFUAJGQ/YB/zlutQV92HK1smi73NP8akNIvS81UHq/TE7G5wt+/KXez9XVxutrwfzLbkP5bWAd8/LrF91ks/MjP+Mdzr+hA45h14PgUk86jNkmiShPxOAF4ZdBsJNERf0hqnsr37xQnTHtVyLuveW/A3YGwTDNs7iiBtZJMkzntUKqLDIHEUh9wsw/AqysqpCXZCI0jXsKtxR2cqtLPIpvV4QZwW5Hl1GX0Ee1jZTf6/WV9TftVrev23tBjXClLp6Sq9XbW157Rmpx8lx1Xqdvpe5SiZAqgPiW1vBgW71XAD7vuDzt/jRidS6p23Sr/7+qO887r2pf06cOo9tAnwRxJk0T0RUJcPURYZpM5v6AGyDpnE/O2oxQNQkRWOZZenvs5W/+gItWdXd7fr/VleQHz/hb2PXbNrLZHURglqnOHMm+JmqXs9fwCED9PriJLUfSH4nf0fp9fx+Zdl73FSOh9Y1evbXqdtj6u9PUibbjpNX+zzvyAmUr9xrro7j7HUc5x2O49zrOM4j23//rOM4ezP8zBscx/kdx3H+ynGcnuM4/0z7fcNxnHc7jvPXjuM85zjOg47jvCqr86H8ZNUAkgIXsK+My+M8RmEbJNbPMc1zj6og2Rrfani8ZtMfbFE7TOS9V10VPGbUoHTYSmyZbSiVjUYjeha9LdThzExwjxh1JXZUpc/2b8AfCJUBOVmtKZ1Rcq0HF7zzOLiA/uoKdfBUrURJ5WxxKXivS0eP/FzC9aiVRXW1g1A7eGyhp4Fgpe7Y0Sb+9LN78ND94Z1vcn1hHTHNZvigu3R66at0bYoy62/YFSEUj7oqyBQms9n0Qk7J/XBq0Z+5q642UvOgVsv7//U3BvcBnzsA477gZ874zzhgnsjR7fqTVWTfqbkD9kkSMmAu9/pnP70ndIKOmg5xO67VPHNh3vv9NVejP+Hggfua/dX46uQclVzro48hEJZe/exhttmI8/ym8YwPW3bqk8rku9LDwxWlPiH3y8K8N/GiTvkMw8QSkS6NVdfDSCMU+jCfFxYlRn2dHl1Gn8Cqr3BqNr3JgLbObv3cJWy6RLnRfy8Td1WyUgsYXMV98aLXAd3a7oi+d7nZXzGnvqdpyP71rarU16j1MyA4UH78hDdp8uQpbxL08jL6kzXVSc/qBGV1FV/owIBB3BXiw9wjcuyD823ra8ZVn1Hb5qb6LRFR1djy+7B8OE5/sSkinQziSh+AvognTn3ItLWiLKjR28V6Ph7Vjg+7LnUyoKwel4HwzU30J/qpg9XSN60PqouFee98F5e8PiD5c/xEt79dix6pptcLLgqTiXuAdz5nzvh9Jff9QXD1+PET3X6d58wZ9Bc6qKHS5brVKADqZ8eJbGerl+kh7PXXyXco6aJGCkjSB6MeJ+mEvjBx6yZp9wmzX6FYGr2oJXQpchxnH4CH4IVjfwTA3wL4VgCvhreX+etc1308g8/9JwCuB/CnAD4I4Kjruv9N+f07APwCgH8GwAXwr7df77iuG9g1fn19Pb8EK5GpqSmcP38++oU523+TN3jQbvuh1sZx/CzOY9Q0P36i61U4DngZs+0c0zx3+cyZGa+jYOZK7++5ucH9S5aXgz9PmtaAX0lLcgypcAH+64b5nqXgl2tQzwvwKlVSYdG/C/VY6r557TaAnt8BMz0NvOAFwUE22etGqOci6T1zpR/m0FQYq4P6EopQPX/5uZx3p+O/Vzp91HQ0aTS8QXv1HlDDOe/b51/X7OzgfaKm9cyMH2b97ruagftHKjFh351cb7OJgVX2JqbvaxzSzlfyzsenp6dDgkj5Ril3k17T4SPd/r0k+1sB2/frDu87f/Qx736bnvYaNrbtHkza7eDzAvj51KnFwcHwRsNbrW4aSLeR+zjuffr+D0zg5KnOQD4swvJUG9O9maSM0fNLYQuPmuSZj5MuptckvZeGfT6j3pd1vWYURa0LFgnTKBrTKJ5h0imPcrfMynzvDVM3TVKe6GkjnycdyWFlrtoemJ72BqJNe1ea2k2tljdgrddRbPUEvf7WbHqRtKQe1Wr5IdtVEnVnccmre6ntEAB4+MHBtpxcjx4+VaW3UwB7+0YdiNc1m94qbUlvObbaLsyiXjBqnSPsmRp3fUb9PvXV/Xkoc36TtSqlTdxyNwm1jK5SWhVZVdM5LB+O01+cVr+Yfhz1/wAGf6e1+4FgP2TYOdmuq9n09u421S2ENZ2Wg32s6jkDMPaLttvAxoY9qmV7h78ASb3OKO22X1fQ+07U+1ivc+j9yDq1/9pETUc5jq0Op79H0tX23ZnGB7ISt25iO9eq5hVFklYah5XPeddK/z2AdQAvc113v+u6b3Jddz+Afds/vzOLD3Vd93+6rvtO13WXAAQef8dxGgB+BsB7Xdc97bruFwD8OIApAD+SxflQfpLO5k86wznu8Yu4stM2w8sWAj2Nc5fPlE4MWV2g7gMDhIffizoPWdE4O4tAyJjjJ+LtnWZayRd3z+ewEIL6jEDpKOkX/AfMIfj0sHvqiu319eDqBOmEUWc4qrPm1VUdpsqjumJCX/0uqzzUn8v3KemldjSosxPV0O8q9ZzU1R29XrCDSn3N4SODK0vVmZRA+OxT/Xr339TFVVeFryiPFcppDIqYr5Sdei/NXOnf8y9/OfrhpNRoDkkGygHveVRDeQLeMZZOe1EfdM2meTUU4M9mln8Ledai9vUSJxc7obNi5T6Tho88h7ZoF7a8NkkZo85KV0OGbW2ZryXuMy/pErY6zfSaYQz7fKornvIKqUtEROUWVW6FRb8apjxRo4pElbnq9i8XL5ojQuntpqi9PtX2kGi1ggPlgFcnUtsUl19unpgoq8AW5r2OXb3udfyEeXDeNFAuUYQAryyXY335y+b2jSnall5XvOoqPyqPmJkJts+GDWUaZpjViKMeOy/y+XEGyosW1YeIyCTN/uw4/cWjtJnVc11c8hYULJ0O9o8CGOgrNbX71Xw8KqKOfrzAlmKGcr7Z9Mtk6Q9Wz13OR42Yo56DHkZdzB2wD5Q3Gn7/px6tRrdzZ/D/MzPbdZmWd3y13+aH33y+v7Jd78eK2g89avGGutLbFMI+7D1R28vkGdkzbt2kKH3ClI28V5afA/DjrusOZBeO49wC4Ldc170843O4AOBfyMpyx3FeBuBxAP+H67qfU173uwC+4bruj6vvr+tM+yhVmT2T1wznNGZGlTnN9VUGMggTNaMsjqjVi/J56upI2/chP9/cCl81YTqGvopeOnXU6z50cLhVkG+c62J93au0vf4mf9airMyWY5tWtAvTKmr1tQMzRrX0kUot4HXgqCsj9O9XKmr6zMWJCS/MoNrRJBUTWb0LDK7aePjB4HnLauDpaeDiheiV8/r1JolWoK8CyXOWY9a4stwLjaWKeo5MZHLIwvzgLGK51/7RG7q4dMn/uboaXFaYNxrA3r32FUv9iTkr/qolIDjrN849/v4PTODkYifyeTFFi1BnLss16M+L6bzkeHGfHXnG5TOjZr4nYZ0lr51b3s/HuFdcDaPM9ZK8MI2iMY3i4cry9FX13jNFzUoqKgqN/nmmdsPSaa9+Y4pQE7rSa8I+ybff1loLDkxfdZX/7z170G83qXUqNXoXYI7+0//djniruvToWHHJhAJ99Zzpe4tTPxi1DhFVR4t7/Ko8U0WMElhlVUobriyvhrKkc5naj+q5qv0Jsrpbj56iRoAB/IUutrLKVI6pfT16n6JapzhzxuuLmb8lWCdpNIID3Gp/jK0fQvox1L4d6Rd57eu6xkg3ar+u1IOkrtNoINCPpKcT4A2gq69JQupGen2m3/ecIL2NEQOG6DstSmTPOMqSV5RZHivL8x4sPwvgn2+v8NZ/twDgN13X3ZPxOeiD5a+GFxL+pa7rfkV53d0Avt113Teo77906VKvpS7hIgBAq9XCltraLKk77nwOp5Y6ODjfxm237srsc6697iw6Ha8Q++ynh7vly5bmd9z5HE4udnBowUtbNa0BDJ3ud9z5HD78Ua9n481vsh/rjjufw4c+7PeASEXnla9o4vG/6Bq/D/me1JB9r3xFEx/78NTAechrAeAtb/Y/+5prz/ZXardawU6YVgv4kR9up3bPyWcB3rUcnG/jwx/t9K9Vnz2oX8sPv/k8vvilLhoN4Ed/pI1vf9EK3vtvfhFffPwruPx5V2Cr28OzG+t4xcu+A+c3fh5Te4JLseUz1XQ2keu+7dZdgXR75Sua+N7v8Qbu9r3M+14OLbS9la/Ka0zpDyR/ruI+7/q9I9fQavkV+1Ge5aLIO0+ZmJiI1XkwSrlru6aPfvSjeO+/+UV86S++gle87Dvw97/3F+GeOYDdk8DTSkeqfK9yD5xbX8LFp2/HMxefwt7JF2Pyinfh8unBkAS2573XA/buCX4GEMwz/sH3nA29pkbD3wdS8lL1/lTvRbnHX3al/zzp93qr1cKv/bsLgfzZRvKIK6aBi8/6eYzkLW95s5cH2/IAuU71nOM8O2o+0Wx6eX0aZbSUH42Gnyepnyff46GFNt7x9t25Ph951UfSVLZ6yTgwjaIxjeIZJp3yKHfLrKr3nq2NMswxospsqScAfrtA6hdSn49T7qv1jQsXEVk/0c9RbY+0WsCffnZPIB1MGg3g7NN+Pe/yXVdgs9vDs5fW8YK9L0Z7ylznE80m4Mw2+9cvWi2vo/tlVwZ/p3a6yznq1Hqcu+q915lt4i+e6IbWD/Q6hNoOBxBZ54v6vk11FL2t713X6M+U6bh5y6JOVtX8Jg1VSpu45W4SahldpbQqsrKkc5naj3fc+Rw+8rEOer1guQYg0E+s9hn0egiUTWFllel3aj+L2i+h91Pr/cvSX6DeAmqfZtg1que/seGHR//Tz+4J1HXOnvOuTz7zIx/z+lgC9ZLntXDum5vYO/mSfj+U1D2+5A4OvEcx9d9+/k/M6ahOMIyb3ro0xkGKZJR6TxHqNmWVVn4cVj7nPVi+AsAB8P2u6/6l8vOXAvh9AF90XfeHMj6HkQbL6zrTPgpnzySTxsyoqDQfZtZWlqtk467eS3o++mpofX9u26oGdeD40EEMrHZQV07rK0RN4dpsKx/1sOb6ysyo0G9J0gjwrkMNoSMr4ucOmPfK6a9kUFbQA8Dfc5bwxw++DXe9oY3XvGQHHnlyAz9x71n88j/cjW+/vIUfu6eDib3vw+XT895q67Xg6lYb4+rSFX8FvnoO6ntMK0ZM32/Uc6XuSR22545OX72i7gMkoQ+jIhUUXV1Wlp9eWsTt77o1cG+r9zNg3qP83PoSNp95Gz54s/19tlm8UXtgqXtsyXNq2wdTfWbn5oIzj+Wz9JnWagQLNY9Uw4zqUSnU/bf016n7TwEYWPmkPi96nnDoYHh+anpG4+6NmpRt9r3p8z73mT2Jn4+y5gXDYl0wGtMoGtMoHq4sT19V771R2516myjsGOqqLXX/cBkYbjT8bWfirFwWSSJeLcwH9/dsNIBP/eFg5CudqZ5na/vEIe0XNd3VOg7g15EkXYyrspaBjc3gwLq6B6mJbQ94dQVaZMS0lWCEtKh7x1SnSuOZKtNKySSqmt+koUppw5Xl1VDWdB5XWzTu56r5u62tHbl/+Yq5fmNa1azWAaRM0csYvX9Z7ffTI8fYok5KX7Tat9lseuV4r+eX47bV9RJx8APvH6yXHPn4WbzpVbvwW3+GQJ0kas9xE32lvHpd11wd7GfSX2u8dst3YftOym6Uek9V6zZ5qOKe5T8DYCeALzuO8/85jnOP4zifAfBlAG0At+Z8PgDw1e2/v1X7+bcqvyNKVR77Wwyzr4e8Z3HJvFfqKNS9P2SPF9l/Rc5R32MnzjWoe9tKKHJ9L2x1r+mH7g/u9zY76/28tV25kM9aXvb+PzHh/f6Vr/C/K9P5qHuHq/ubqPvFAN7AUFP52qO+H7mepdP+z0x75EjF76H7m9gx4VdqZHWrrXNoecVPZ7Vydf//vB13vaGNG2fa2NFq4MaZNn7zjXvw7z5zETfOtPHBm9u4+PTtaLW8ihR6wQG12dngPsri8ceD95a+j32j4aWPul+O7P+z9oR3jt2u//2q6RfnudL3N4+7r5Mc++67gns0zt8yuPdinnvqUHJ3vvdXBu5tuZ+Fmp/IvXLx6dvxwZvD32cLd7Uw7++/aaLmO/L5MlDeavmdqtPT3mvUvNO035T6XOv7eMvPV1f950k9hnou+uuAwf2nZD9S035Td9/VxMMPBvcrNT0X6jOoP6Pq8dS9UdPaL1MiROh7lsu1yL0wjKLkBWnvtcm9O4mIykPKtOVlDJVv620iwF4OSH0F2B4onvPrDYD397GjzX49xrRfN+DvxQ0M7sdtKlvlHKWuou5pLnt26p+lt1NM9TxT2yeOVgv9NoPaRpD24upqsN0k+6abrquzEeygVv9t+x70Y6n1wDj7certs+WV6LI/qz3Ix723eR5YryKqjzyf92HboqOeo+1z9eMmKY/0vcD134W9T84J8OoW6mfq5yD1D73u0et55brar6H2ScpgvNoXrZbXsqCp3fYG3fff1MXMld7/Z2b8+ku36008PHnKXC+56wf24J7Vbw7USfQ+ofYOe5qq12SyuurXq2yv1fvb4/TFpj0OMu6yc5T6SR3qNmWW62C567prAF4B4F8C+HMAOwD8bwD/AsArt3+ftyfgDYrfJD9wHOd5AF4L4NNjOB+iWO6487nUG6xqh4Y+QKsaplBSC0Z1tr96jmEN+7DjPnR/E598IFjoqoOt6oC5fI589jVXBysqtkrT937PhLHSJOmxueVVqvRVkseONvsr2U+e8lapTmwPfqnHt6WpVFAkysgb5/xK2OJSsDNIOoHk3K+6KhgqCNiuHCoVJ+k00T1z8Sm85iXBGtZrXrIDX/rGVv/fz1x8Cvv2DQ62S9rLZ6uTA7a2zBVnOef5W7z0kdUngFd5lNfId6Cnn4mapvLv6Wnvd9KZF7cirwur6LHiU2zumvnePvvsU/17bt++wRXbtmfimYtPDXxGo+F3wjYawUF3wFuBrup0vEaR7M+pNka2tvwO1fV1/1mTvKhpqMl1Ot7rAvlVz8t/JK+anTW/V88D9YkvcwcQGLQG7M+DPEcAAgPq8vzNzg4+g2pHu/78mcqRUQaiTROlhGlwQL+uqDLQlBdk2aiL22k+qqJMAsjCuBvdRFQuZckzRsm35+a8esvMDAYm6+rHk45kKfuk3FbLfZXaXhNyfP38Dx/pDnQuy/mobZml097r1bqWTPxTqW2kRiN+2yeOffv8a9EHBoRa17vqKnOdQa2LSRtInfRt+x70Y4UNNoQxTba03UP6cY+f6OLa6872v7dhn5E8FhmMW1jaliWPIaoqycuGeQZNz2+e7ag4/VJZnKPtc/Xj5pm/yzktzCNywH2i5e9XLv0eUvaqCwWkb3FmBoF6y+zs4FYr6mfLQPPqKjA5aY/OGVYviaqTSF9QWL2r0TDXw6angcndgz+XPi7pSxK2xW+jijreuPskRrl/61C3KbPcvxXXdTuu6/6G67r/3HXdf7L9912u64ZvcjsCx3F2O45zteM4V8O75u/Y/v93uK7bA/DrAN7hOM4POY7znQD+G4ALAD6S1TkRjerkYidRgzUOeY862Glq4JoKJSnI5PVhDWNbRSWsYR+HfFarBbz85cHfqedqavjL6mUA/cEd9bNPLnb6A1T6+cigWrcLnFr0Qq/bCnSpGH35y+gPXt2w3x8A19NUvz41LHOvF1yR0e1635ekm7piQX2NdDLJwL5a4ZPvfu/ki/HIk8GY0Y88uYFXPL/V//feyRf3V42oer1ghe+qqwbPQwbA5boWl7zVnYD//ci5rK15fx876k2KeOj+pnG1hk69T+XfFy8CDz/Y7Id3jluRT4IVn2JzZsz39p5dLVw45z1Qcs+JRgN4wV7z+/ZOvjjwOsAPsSX/1jtobSvQ9feq2u3g/6WTVxpwekNIjgUgMMtZBoDvvst7ntSoGTJ43c97et6EovlbvP/KoPKjj3kD8o8+Zr8OIPgcqc+FrDi/+67mwDN4913N/oSeqKgicSYcRbHlAWGdC1H5gzpJIM/IE3E7zUdV5QlB4250E1G5lCXPiJtvm8rSY0eb+Oyn9wRWGZuOd/hIF9ff2MWjjw2WfWq5DyAQoUned/2NwYF4WYUlk7jVzuXNTW8ioSnKjbw+rK4lzq0v4W8evwb/+/MvwNTOVqy2j4ne2XzmjHddUv86ecprX9rqTY8/vh2C/YBhW6cDfp3tofuD6Wr7XtNqi6jHkc9SJymEWV726oqmaGAUNEqdk4iyJXnZMM+g6fnNsx0VpyzI7BwN/RnDHjesnW/63fETXbz2dV694vCRYERLNS3096qrw5dOe/20i0t+2azXcy5e8I6jRtKR8ORqf86+fX69SL8G07Z7IqxP9pEnNzC1s4Vz60sDCzGERLlRV8NLJM9m09v+5VN/6P1eXRyxvm4+r14P/YVq+uRIIH4fSdz+mqjjVblPgsYr1z3Lx8VxnBsB/KHhV7/tuu4/cxynAeCXALwVwDSAPwLw067rfkF/Q133cIsyzJ4BddvLM23v/8AETi52Yu33EZbW6u8A9PdY0We3qXtpmPaU1feWM71v2HOMy7Qfm5ieBi5eCF7n3Jy/H7H8XvaVMe3tK9lloxHcs0/2JddJRWnmSq8TxDRoprPtIQ5457S1FVyxbTpeewcG9jKenfW/UwkLL3viyLUceesp3P8/b8czF5/CZTsnsXviWXxobs/Avn2rf7eFE3/8HM5d6mKq3cD5Tg9T7Qa6O16L79j3PwLnYtsHR/Y81u81dS/k9o42Ti52AnuVR+2VqArb38j6evVZSPD6KuRhddmz/Gfffht+67/ejcvaDVzo9LC73cCznR5+YHYn/uRrE2hNvw+H//l8P28QcfYsT9v0NHD2rPfvHTsGO371PTzD9uIEgnuxyz27//VddDqD+Yn8X89P9T3HH34w2OBU9wwFop8jk8j9xwzPnb7vU9znM275+M537MGv/tpZfx+yNft1he1BlcVeXYH90ULOK2tl3c9PlfVealVIo6wxjeLhnuXpG7o9uzK+fDdttrL00ME2/uhznYH2n0rdr/zhB+OXw+r7pP0VVZ8RzaY3KVfdN1PaqVHUet1fndvC2+47j4kW8N/n9vbreT+6/AzOX+rhVc+fwFMXd2Ji7/sw/fz5gchdaVHrDUnrNbY2fdw9x23H0t8Xd5/N4ye6WLkHeOlLx1s3Kaq4+U3V8pg4qlQP4J7l5Sd52YGbE/ZDFaBtFscoeUxUuxwYjLypvlftN3jnO8x7lqvH0/s+1P5OqT/o0QGBwf4KOWcZjDXtV27rG1GPaUo7W98wEOyTjeOrT70dOy79dqBP9keXnwEAPH2xh8uUvthOYxYvcx4JvF/tA7/vD7wBcPmZGtEwalhQrl32Wrd971H3kq1eo9dVyvT86JgnZy+PPcszHyx3HKcL45wiM9d1DbvcFkddOw+iDHOzxm1okVmSNA9rbKsVBBkQ6Q8Ur3izx/UCylZZUV8f+DtGI12OqQ6WAojdKaB2jszOeqshTRWldttbjSADxROt4KC6OpikhovXJRmkUl+rV57UCtP0NHDvctM68UAfpAqrbMnMf/m9+p3K9av+nrOEh38/OBD4I6efwWS7gSfPeYPirUYP698EvmWyiZdMNfHk+W6g4vaW5bO4iOv7A+a2gfI42m3gc5/xKsxqetjyC72iNUznUNI8qWp5WB0Gy08vLeKnf+qtmN7VHLh315/t4m2vnsTK31yBR/7488bn8Nz6Ei4+7U0o2Tv5Ykxe8a5EA+VJnwnbhJjZWS86Ra/nd1rb8g2V5DFqXvl/XutNStHzhWbTW4FummximjAFINazqtIbyXEGtdUJTerx9cZZVCdz1PHU65H86NrvOxs+CJ5gsk2aipIXsXEYjWkUjWkUDwfL05f2vVeESZVJz0Ev36V82bkT6HVhbv9pE5D190p7Sz0H0/sAv1M97oB3q+VPIk460P43j1+Dk3MX8NULW3jXAxfwX39wD/7q3Bb+7acu4on1LXzbVBO/8rrd+PbLW3jL8lmc3Xz5QEd0mKg6X6vl1T/U16iDClH1Gl3YpPGk9YO0Jv0lGhBejtf+rwqWdXZVShsOlldD0nTOom1WhDqFznadav9oVJklr5G+P/UYYW1rve9DHQTWqQuE1H5n2fpRQq7H6U8G7JMGgfDB8iTOrS9hY/1ncPgftPCRLzyHr5zt4srpFn7xtZP9esnhq3fhF26Y7Pdnxa2nyFZ81gVfa140BcBLp/lbEFiEJN+tqX4XxlavEfqkhXH3bQyDeXL28hgsz+Ou+5fKn7cB+GsAqwD+HYC3A7gDwJe3f/62HM6HCqIMITOKtkdUWmFm1XAmM1d6P5uZCb5OwtSYwl2bwrDpr5e/1ZB9YdckocEldN7JU17lJOy9eliWtSe2/17z/lY7H0x7XDca/rWoP1PDzZn29JX0EseONvv71aghcKanvcrF5qYf1nhh3t9z7tDBYCVrfd1LT9P+MBIeWd1zW64X2N4PWNuLXP29um/xnj2Dx3/g927HB29u48aZNna0Grhxpo2P3LIXk+0Gvvmub8Xiwl68cKqFV76ghQ/N7cGff2MTk+0Gvv/D67j2N/8OX72whQ/N7UFz41P9Y+rpb9oPp9Hw0l9P55kZ4I47n+vfG2H7xe+/qdu/V9QQjUlD1iXNk8qQh1HQne/9FeycaOBDc3sC9/qH5vbgeTsauMf9Jty1p/DGOfPA8+XT83jRvkfxyu/6Ol6079H+QLnp3jbZsQP9MFe297Ra/nNua2ipkS5WV71G2cyVwfBZJuvr3jMjHdCrq8Btt+7CA/d5+3Gp56Rvk6FOe9TDqQrJMxuNYL4H2PdDky0sop5VecZ7vXghR8PKPfX/kgeZnmP1GHfc+Rw2t8z5kH78vLdiYF5EVVW0ejhREkUInyxl59JpP9y5hCQ1kbbD6ir6e4G328DB+baxrFGvUa8byOulbbd0Ovx9Dz/ol5t62FCV1JGAYFtjcjK4Z2gU2Qv0vY9cxH/9Qa9e+Obv2oUv/fTz8YkfncazGz3883vP4Wc+cQ6Hr96Fds88em+qe6kD5dIGNf0+dKB8OTgwoKa/KW80telN7d84wuoVWdRxTFtnJXluWFYQUZFk0TYrQp0CCOa3tnJJ3RrFlgbSbxC3bS2rxmXLS72vdn3dO6b0Z8zO+v2jal+DWjfRt9lU+5NlC0iVWv+whX8PI/3DOj2M+uwscPHp2/GhA7vwy6/bjcl2A5/40Wl86aefjzd/165+/9U9q98M9GfZ6ilAsJ9HtuUzvUb68aXPamvLS3fZl13dBhSIvif1+8LUX6PXVebmBvvRk2K9gEaReS+e67r/yXXd/+y67n8G8B3wQpz/Pdd1f8513Ttd130HgFdu//zKrM+HiqMM+/qOUiEZNnMOe5+cz9Jp4NrrzsY+dtgggoS3PnMm+juRc3v0MQC94F5xNlEVRX3P8AVtkWZUBUsvVNXw6T1tcEeuTd0nT65ZKnPq5x872sSEUplR9wQ+cya4X9u9y14nT0/5Si5e9FbJ6wNBEy3/s/XjdjbM+8NIWqt7bqt7hZ88BUzu9vciB7wVk82mP9AuHWam469f8DqMVK95yQ586RtbgX9/6Rtb+KtzW5ja2cBv/NPLcf7nvgW//obL8UsPXsRfndvC+U6vn5aqa6729sN5+MFg59fevf73rlYc19a8feLl3jDt0wcMDnhJBXZ6OnkDJWmeFPd5YQWtOL70F0/iQqdnvNfPd3r40t9twZl5cejeUSZxV4tvbnp/P3R/EwcXvAac2ugCvAaJ6fMPHfQbOfogerfr5REP3e89X/rkE/UzFpeCjUiZlAL4z6jaYQ3EKwulY3dhHtgxEcz31P2/9P3QWi3vfOM+q81mcBDf9pxFDZ7L/+dvGdxb1XSMk4udgQa1apwD1kWqTzHfozQVpWOQaBijlgtp5qe9HgIT5WzHV9sW6uSv227dZSxr4gyqSp1DrSvFSRvbwPfFi/4k4auu8n8uHeXS8Ro1kVH2Av3SN7aM9cKzl3r9ds5H//y5fhtHZwrJrn62tHGlbtZs+vUkMT2NyHqXmv7y+5On/I5kdaIDAOuk9ziGrVekMbF/mOeGZQURFUkWbbO82ppR+bjkt4tLCEzq0vPhqDSQweiH7vd+r/dvmya+q5Ps5f3Slzo76/1sx/Yg8NqaP4ms0fCPI+clfcJqepoG/0Wr5ffRrK7CWA7LOep9oeLiRa/vQadvtff448Azz/r9s7Z6ivTVyv/Pd3r9c5U0kX6gvXuDn7G5OdgP9fKXB/8v9Ztu11+MJP2uhw7CmIa6sPLZtkDv2NGmsR89inrvsl5Ao8i7V+3HAHzAdd1At/L2/z8A4EdzPh+iUHErJLYVc0lmWcV5nwwsbG15YVGGzfhNFZc4KyPl3PSC0pQ+auVCPsvWKaNWSJaX/ZllV13lFeKLS+YZZcYKWM8/rjogFPU++dmjj3l75732dcHZkm95c7u/ykEqP/I9HT/RxQ37vdUaki4yQ1I6nTodb0WH+v1KelxzNfoDXLaVoXpaHz4yGPp9fR2BThSZMSgD7RJ6XtJF/c6lw0j1yJMbeMXzW4F/v+L5LfzbT13Ef5/bG1iZ+/4fuBz/9lMXMdVu4L4/8AcFxanFYPqr5yw/k4E+uc5DC+3+jMI3zg2uhjl+wl/9u2+fd+0XL3j/v3jRPgCWF1bQimeq3cCV0y3jvT7VbuDynU3c+nO/kNnnd7ves3D9jf7gcZyB+enpwQlAOvmdPPuq9fVg/iKrs+++q9mflHLyFPDa13l52eEjwbxaXa0kJP+S16qRQEyNWyEzhCW/n7/FmwwT9axKVI5eD6FlplrOSN58w/5gWQQk78Q4tNA2lnemsq7O6pjvcYJAdhg1gcps1M5ydVX4sKQjc2EegQ5lwD4gK6uJ1PLaNkk7zsRRwA+BmqTMVAe+1UmAk5Po16H0UO2PPuZvQxU1kXHyinfhx+7pYGavuV74iue3+u2cu35gD6bajdgh3tV6mLQBAb/tJRHV5P/nznl/S/pIlDG13qXSJzXYfqazrYRLa4L/sHUA9T4a5rnJsqxgGU9ERaDmjVnmS1H5uBqZU+3XDIvABgzmpQMDm53B+og+8V36M9QIp7aoNmqkzR07gpFbpB4ii6zknGQFu7rQqNXyJ9irC3P0hUtvnPPSQCLs6QPR6udF2doC9l7m98/u2dkw1lP27GwE/j/VbvTfD3h1IelrWl8HnqesYO92/YVYUseSqELA4HnK9Ui/67GjXt95p+PVvWzCyme93yZu/1PURA5TfxRREnn36LXgrSI3eRXyPx+iUGGNtahZS3FnzCd5n8yw6r825NhxqausdXphpIdJCVuRZ7o2W6eMXiGRGfhrT/izBxeXEFkhVGf3Af4qSdt+MqbrlU6XXs8/jqyoUEPiqbPoTi0GO0V27EB/hqRayVhdDRb6cr0nT3l/ul2vYiPpqw5mS1oDXjqY9vGT16uDyJ2O31nUaAT3xguELtzuMHpwrYONrR4eXOvgJ+49i7dfNxn4982zz8MT6+aZjU+sb6G747VYXx8crJPP0mdoqvSQg7fduqs/o1CdxSnUtJXQ+/oWAfqgX55YQSue850efvG1k3jrx88F7vUfXX4Gz2300Lzsx/EfTtxiDJlpEzcEu0iyZ7lYXzfvv6VTO1j185JV0foM4H0v8/NHCUcmE6KWTnvHlAgkq6t+h68+eUqe+ZkZc+NWBuq7Xe+4ppXmYSTShz7DOCzcepIw71EkXL0tukWdBofD1DHf4z2QnSJFTSAaF7XekLSDXH2GwjqU9feoK3pMndgmYdutTEyYV57pE+/UDlMg2B4UYZMMV1cHB9CFvir88ul5TOx9H/722T340eVnAvXCIx8/i597zWT/teqKrWGsrvptsG4X+PKXAfSCbTI1Co9co7RvdKYQt+rP1IEEVVj7XOp8ce+tYfs/VGkN+GRZVrCMJ6KiyTJfisrHTSuzpazv9YKDzyrp+5Qw3mrf7cyVXijysLJDXYlu2urTNBlP+l47neAgcNi2H3rkyn37APS8AWEpmy9e9M5HXZQlfaBSzp89Gzx/Wfwg52QjfTiTV7wLb1l5Dg+udfDMN3s48vGzA/WUZ77Z6///LctnI+sp31RWsKur7dU6lmkCnlwfEIywqkcsMgkrn8O+C32LVf31JqZtZdmGpGHkfdd8GMCvOo5zm+M4s47j7N3+++0Abt/+PVWcqVFcRlGzluJkzsO8T13pDCRr1JrELbzU18YJ6Wa6NlvFSz4HCP5eDZvT7XqvObVonxW/qYTBi1Nx1I9jmuV3atFL4zvufM66J60++CUrMdTrEjLoZOv8ALYH1Wf8FeoSRv34CX/1pq7RAA4u+B0t+u/0wXf5uVTwpMPo0PJu7H7P17Fwuom/++ZeHP6d8/jhlSYu9Lx//8ZjV2B32zyzcXJHA9+x738AGNyTWV/FIjM01Y6rU4v+dyzknlH3ald/p+9zJN+LVKBlIE/fW0eXxexcVtCKZ6rdwLdf3sIv3ziJn/nEOUy992v4qd89h3Pf7OFbX/wbeOGL/11/sFjPp6QDUp8lPMzgdxTT8xpF9gSVhkyj4R9D3ZZAn5X+xS8F73nZukHdZ1RtQEljSAbld+70Xiszkk15mz7RKxCK9UDwtWHPol6G6BNs9NdE7YWWlGlGfNQs+jwVYfVTHfO9Ok4QIKLsqavChRr+VCKnDJvnh+XXelka1YmtnpuEJDWVkfqkVmnXSH1d7TA9ecqLxNNIUJxMTw9GFBOmFfqXT8/jpc4q2lf8FyycbmL3e76GW049gze9ahd++Dt39V/3yJMb2Dv5ktDPPnRwcEBe6JMwpX4FeHW1hflgO1TCyKur0nVhkdIkqpje/glrn8s5xR18Gbb/Q1WGgWiW8USUlrTaalnlS6a2tf570/7TptXmNtI/oQ7Grq0Bn/30noHV3zJmoI8dmK7fFI1HBlyB4CCwWr/R98aW/oNez1+drkeykc9Vj6/Tt1q5eME7jvQHm8zOen26gFc/2TH961g43cTkjgbe9Kpd/f6rn/nEObzpVbsw1W5g93u+hvlTz2ByAv2V5XFIf4xE4BOyklsm4Jno6Tw9Hb5K3CZsC5Yk4wlC7kkAA3024+4joXJp9LLo5bVwHKcN4NcAvBWAEgAClwDcBeBnXdft5HZCQ1hfX88vwUpkamoK58+fj/Xa/Td1A4N97ba/YrZMjp/oegPlB8wViaxNTU3h2u87i87GaGkoFaKZK73Cfm4uGKJmecUrMPXfDfMZtveraQmg/1ppQLfbXmeBaDb9VZIP3d8MDBA3m97qBdP3cviIN/tNKiubW35o8okW0GgO7hcjdu4EDtzsVQp6Pa9TQ44vx1VJuMHlleC5mzQa8Qbc2m2vIifXPn+Lv/pd7oEb9ncHVnU3m8CePeaVGA8/2DSev3peEvpf/IX7GuyZ+DI+NLcHr3nJDjzy5AbesnwWZzdfjpc5j+DQwWDaq98/YE5DwOsQU88rKl8Ju6/knpK0bzS8SAM2ki+VNT9KQ5J8PA3T09OxavOjlLv6NV3/mlfj776yOnDvNiZfjhd8+yOB+1zyGTE7C1xzNWKH4BzG9HS8sOxAeL4hk2dkQFzN4yd3e58xO+s3/lTq8yvPkeQ7gPe+u+9qBp7X2Vmv4ddoePlS4P3Ksx/I51fM+XSSZ3HU5zaqbFKZyty08o0k5xFm3PlY3nlIGTGNojGN4hkmnfIod8usqPeeqSxVy+U08nxpC0gZP/D5K+HtQVtbSPbuVM9Pn9ir1mcaDW9fTVtdSDqww9pN7R1+Gy+przz+Q2htfgp7ntfAb75RrSuex44r/hMun/ZnLshkZGk7yiRF+Vyp06lpamtzPfygV19T20hqGh06iEA9wVRvUH+2uBSst609YW7rq/TPT6N/I1ZbbmV8/SnjVNT8pgiqlDZxy90k1DK6SmlVZGmlc55ttWHal1HnF/Z7Wdij9wcEzmclWJcA/D6Bd75jTz+N9TEDIQOlMhHsqqv8Y0m512x6W7wBfpkrfSMAgvUpZXGT+j7pU5U+16XTGOgnkomMSfqGZKKAXoeRRQdyPTNXehMIpC/z3PoSNp95Gz54czvQh3X46l34hRsm+/+/iOv7i5cC6bZjsM9netpb/W6qK+n9QYtL3jk3GtvnuDZYD0XP77tX/530Pk+jX0S/T6Pu67T6YgDmyXlIK43DyudEg+WO40wBuBnALIDn6b93XfdnYx7nCgB/H8ALAXwVwP9yXffp2CcyRnXtPIiS5GYNFJJr9WwcpWFqagq/+mtnR25gmiYvSCgdKSxGrdQNO/gxd8AfWJXB3tnZ4Ky+hx9sBq5hYKBHuQ51cAfwKj8yk3CYDpWHHzQP8ui/1z9XJWkS9hrV9LQX9qfRCA7sy6y/pAN50vliC/GsD5RL+v+F+xq0e6s43+lhqt3ARmsWV778kf4x1Y4c6bAyDeir35feUafnK/r3Gee+ks9SK78mde6sEXUYLAe8AfOnHnf7926nMYu//pvPALA3zIQ+gG6jd5jGZWrICBmQVo8ZNdEmavDd9Ht5ntTn7dHHEJhopP7M9F4xTNkR1SlvG4Af5rlNcn6mMjcs37A1ukwT1NSJYSMPulvOJw9sHEZjGkVjGsXDwfL0FfXeM5VVaQxsquWUPjCrHk+vG8lkZZWpHSN1FH0APqquFSVOXUzaeFtbwXZMHF95/Iew9c1PotVs4OJGD5c/73m4/Ft/HVN75gdea6uH6RMSJU3VazcNpqvftey9rh5L7/httYBWc7AuMXfA3iYMq2ukPZBT1GeqCGxpk2anfVlV6b7hYHk1pJXOebbVRmmHh60sH3XCu+11ahqr/QFnzvgDtRKFRa9D9PuwtXPT+4nVclIGdFWmvhEZyNbrHa2WH3I9ibj9SfIZUoc5t76Ei0/fjrPPPoU9l70Yz21eFuiP7e54rXGgPOzYtvPX65tqn67UO2auDC6WAAYXRgyz6C6Neoh+n0bd12nWfZgnZ69Qg+WO4+wD8GkAuwBMAvg6gCsATABYB3DWdd2XjXy2BVfXzoMozBDylWYlyzR5Qe+4j/N5USvUbZ0weoNQ/yy1giOdBRubfoVJH5BSB2r1z9QHd6RzwhS6PMq59SVM7bgd7tpT+LbnvxityXfhxd8xH6hcySqBsGNLhWznzuDgtz5IrdIH1GRm46lFc4eNvjJf/51ULCcnwwfWTAPrpsqe3pGjrvYHgp03YYPYer6iV2JM92XU/TQuMiMTSG+1RpLPjtPpUpfBcvHGuS7W171n8N5l/1mVhsgzF5/C3skXY/KKdwVWEqVJwq3bIlqoZPavuqIqblSKuNRZ12H5lvoMqjOtZfW9lAXSgNq3b7SGkjqDXPIbU94RtdLKNsM90JCyvDbp82FrdFknqK1EdEwUtONUPTd1RQCZsb4cjWkUDwfL01fUe2/YSF9Rk7bUyawyMAuYV4Kv3OPXVaT8NU2qM5Hj2VZVx5Wkfiah2Ef5vFE0m97qKz1N9VVu+veo102FreNXJnyb6hJyrJ07vbqitPNM0QNMnwMg0La3rUwfpe5U5PpN1mxpE7fTvsppV9S8eBgcLK+GLNN5lGc5Tjt31Cihic5lJbpvztYnZktjdZW3RBXVV3rri3WkH0Ltp7QtxhpGqwU88/QSLnxjsE6yc6fX9xoWAXCU/pv2DmCrm2wiYLs92NcrfcimPh/pdwIG01Ctd8RdCAcMTsRUjboYYpi+VtNnpvGsME/OXtEGy38H3h7nCwAuAvheAJ8HcAjAewDMu677uRjHeR6AGwC8GIOr03uu6/6XWCc0JnXtPIjCDCFfWYfvGWaAMSq8vrriwNZpYipAbYPNtplw+kCtSl+Vrp6jKXy5LUyOKQzOj93TwcTe9wU6bQ4dHD5kc1qDYLZQy+rnvPzlfmXSNtNR7/QxnadMXpAKiqnDRQ+LaFqdIvorORNUnPTKtG5cHQvq/Zh3iOS4+UXdBstV6kB5nGc7DWpnpSn/GVa7DWxsmPOPsBVQcVd96c+5eu62Wdp6KFa9s1g62fXBdn0Cl8r0jJvu9bTCuid9PmzlaFh0Hdtgv77dRpGoafa5z3CwPArry9GYRvFwsDx9Rb/3krb/oiZtyeprfQDWNKiqRleRzkQ9chTgl3FqPUTad6bV5/pArs2o9bM0JxfG3j5rRzC8q74iTq/H6G1ePYKZSVhdQ5+cDMTv4AbCw+DGjSIUFiUMGNxOLPQ6KzYwHLqyfCW6H2bcW+9kqeh5cRIcLK+GLNN5lGc5znttr8kjX40bDjtsKxg1UqSUo7a+wbA+DFOEFxt9IZOQAfff/MASNp6210naOwaj9mRJ3cLGtJ2NumLeVvdTJ02aSJ0l7LsC7OU8EN3fr0bL0cPAA37oe/2+HaavddR+IxvmydnLY7A8ybf/fwD4DXj7iwNA23XdLdd1PwLgfQD+Q9QBHMe5HsBfAvh9AL8J4D8Z/hAV3vETXey/qYvjJ1Ia3Uhobs4rwGUQchT6tfQLtwPhlSb9fTNXej+fnvZXKKi/lxn+gH/eemEshaDq2NFmv4GvarX8wlI1Obn9GXPeeaifq3/e5ib653fVVcHftdveHtc7Jrz/79zpdzRcfPp2fPDmNm6caWNHq4EbZ9r44M1tXHz69sAxhq0cyX58ujidJip1oNyUhoD3Oaur/gC2baC82zVXntTz1ENBHjva7A90LS4hUIGZnfX+lpA9NtKptLziHe+B+5qxKvO2Tiz1eCKP53luzktHqZjmSZ6FvD+3TCTviftsJzU9PfizL3/Z+/v4ifQGygFvJrM87w2t+md7Lq65Ovh/Nf9stQaP0e16abb/pm7gmHMHzHmv7Os5M+M1eCUv6fW8Z1H+v7rqP6OPPw6g55+PPD9heYd6r8tzPXOluUxS6a9N41mx5Vfy87vvGvy9KX9aXlauL4XzShvzFyKi0cWpiybNb22vl5/P34JAOSTlk3So6vV++b06CVc/vtT9bRPzdJcuee9XO3HVusvOnd7PRq2fmc5n585Yb411LBOZkCDtqJOn/PYyMLgqTC3vZ2fN94T+M1tdQ29Td7veeQ9z/0i9S/623U9q3ct2H6v1nCT1G1P9KCvj7ueJ295l/YuoGkZ5luO81/Ya6Z8z9cHaxM0fbe1wW1tb7QvQST+tlKNhfYNqn7T0YbRa/paV6jno/TPq//WBcqm/dDreOVz4RnidpLOR30A54JXvUo9S/y3U/8/f4i9GOH6iG+ibOHQw2AfUbA72vaw9sf33WvAz5DuX+0rKa7Uf2lSGq3WBXs/cF9Lten+k7qC/Ru0rUvt8TGMd8n/Tc8FylUSSleXPAPhB13U/6TjONwAccV33f2z/bj+Ae13XnYw4xp/CG2z/KQD/23XdEXarGo+6zrSPUrfZM0WYyWtK82FmB8aZ7Wc6ru19wOB+MLYZjHrIvkbDG6AWMmtN9ulWQ4mHzQzUB5VlNlrYfiz66kjZH0d+9spXNPHFL3n/+eKfvQAXfv4F2NHye3M2tnrY/Z6v45Xf9fWIFLeTglkNnSdssxvjaLW8ys19f2BetaGvuAf81aOAV0FdW/PS5MtfDnYS6Xv46HveS7o3GsCOHcmiFZj2CI4Sa79j7XiBcPGtaq1aSKLOK8vl+c/q2bZ5+MHBlVatlrdtQdznPcm+Vzb6iu+wWd3yLEsILjnn/l5VWqg1CZNm2u/LurJ8ZTDEV1iIdVNo0Lgz2U2vNcnj+bCGr1tJlneOS93qgsNgGkVjGsXDleXpC1sFW8S9RZOIDNWq/E6N/CXtLTXakxr5xZQuerQcdWspqV+YVpnL56ltNlll9Pk/ybd+FmbnTq+Oog92x1lxrtfZJHJXP8z5WvjKfdP2ZKY6kCliUVg0rzADoUpDngn9PjY+UytK1LGVePWbou/zOwyWdXZVShuuLK+GsqezqQ4QFZHRJG6/Wdx2uJzX5G77NiGm/l5ZZa5vo2brg9bPae6AeTDbVI6bImym1We0cydw2WXDh4OPS/rT972sCXc12O+tp5Pad67WUaK2uTRtwSnfh/qzsG3x1D4huQ/kfEx7o4etUlcjHsbpD0pL2fOKMijayvJVAC/d/vejAH7KcZznOY6zA8A/B/DXMY7hAHi367qfL+NAORXHuGf86jOOxn0+Iu6q2eMnurhhv/dHn91nmk0lxz15yhvA3n9TF5O7vd/NzGz/rcyUX14JHufwkS6uv7GLN851+7MBT57yBkUeftBfOd7rIXCeUiFZXwfQ8wdvWy2/YJTPkZmAMutPPvP6G7vG2ZIy21BdXS7HfuC+5sAeN3/xhP+fvZMvxiNPBrOwR57cwN7JF/ePrX9WlJ07gx0hetgcdeCs3Y4+nko6c2yVsLUnzOc40fLSQDrE1p7wBrYeftCfdbgw7+1bKP9XK0UDMwdDOpBsz1CS1eTq62XVi34OpuPJPQTkt2qBikWiVEQ922l749xgmbG1lWxizJ49o5+HHu1jddXbOuPwEf/8Fua95+TggpdXqZE9JI+RZ3/ptNcAX1zyG5x6p22z6R1redkvC+6+q9l/RuXzZKWSOpNc8nf52eqqeYaxqWwzrTDPehZx3DqCKX9KmgdSdRWlrklURcdPdHHtdWcDz1eeq1mHLYfi5gu2a9HLV8DroGzv2H7fyuAx1tb8FelxPl8dVF5d9T7TFvHq0ceC9YWtLS9t8q6fHTqIfhroXvrSwYFy2R5M/1nY/wE/cpeartKGkY5qtd4iA9aA/z5THUjqUIcO+m28yy+PceEGaj+AvmJMF3Ufq3WaJPWbPOtCXFlGNF51r++mef221b6AX06ERXrUzyVuv9ncXLCv1ZavSvly8SLw+T/ZExggVcs9dZW4Gq1F7Q9YXkG/j3py0j/G4SNev7cM2kp/pYkelQ8wR9hMo04yPe1tWaP30ZrOIQn9/e02cO+yF/Xni18KTqTT+8KlTqhGHdXrGLbyWL7jhXm/X3tzy48Iq/Z1q5+pHs+0av3Y0SY++UATD90fXXdQv9fNTcQa6yAySVLb/BiAq7f//YsA/k8A5wCch7dv+btjHOPPALwwwWcSGeXZeWGiZ9BhHRBpVHTUwe2k4flsYV0llIna4aFeG+AXZFLpAPzCUgp1KcikYAP8WV5y3MCgt0LOSQ2BvnTa/1w1XF9nww/lu28f+hUfCRl/73ITDz/YxDVXe79TKzRyrapz5/xwwjL7rNm0VxYPzvsj1JNXvAs/dk8HD651sLHVw4NrHfzYPR1MXvEu43VGzRTcuRPodf2ZlfrMSf39MzPeuaqrv6Msr/gTCfQwiJ0N4OxZPzwR4KWNWrlQ7yNrqH4lZLK8b2He70AKC/Ok36emTsskz1OSipBpcI7qRe7jqGc7bWnMIo46RtRkHWl87r+pO/BayUdNz/yxo81AnrG45E+a2try811ZjQ54eb1MrLnqKgQmT9kmygDBmd9zB8wh2myhYPUQY6aJNFl3wqodzWl1/NS9I6mOxl33Jaqy5WUvglXYpKssDVsOheULYeEm1Q50sbnpT4o2hUo1HUPKcfU4Up82DYhPT/vtUBNT+f7oY9nXz/T2lB4y3XaOUm/SB88Bb0W8Wq+ybSEm1M5clV5vkVCjEkZ+587wOpDUE031xbjh/4W6rU7UJGdTW64MOEmRaLzGXd8dVxtLnwweVa7HIWkpebdeTkTldfp3Ebff7NjRJlpNP3R21ACrbRBd3vvQ/U3Mznpl7Z495sVDMzPB8k6dVC91jkYD/Qg5JvrWnDZRdRLbhEDV+rq5LtTrmbeJOXTQ+xN1bHXinpq2pgkC3W6w/902iQDw6si2+87UVyR1PXWhW1SdVQbXh613y/0kEyrijHUQmcSuAbque6frum/b/vf/B+A7Afw0gJ8FcLXruh+OcZj/G8C/chznHw5zskSiaDOCogp5tQAahr5Ph03Yqlm9syNq/2S1IFMb16Z9y9SCTcL1qWRwVt07BvAK3MNHujhzxv+ZDKqeWvQ7I+SzZEaadBqYZtKbBptN9AH0btcLDSPnrleUbrt1V/86Lp+ex8Te9+HQ8m7sfs/XcWh5Nyb2vg+XT4f0gIS4dMkfSLFV3FRS4Ws0gB0T8QbMNzeDqzf1AfNu10s7fY93iRwgaTozYx7YDts/SO1Asp2rfp+aOi2TNJyG6ehg50i9tVr2Z3v6+cM921loNqMHwBsNLy9++MEm7l0ODmrr1P2/Ll703qNPrLE9e8eONgPh1U2d3ICXTwHePuTSkFInWAH251rfw/PY0WagTJGVU2rnrEwuM82iH0f9Qe1otl3nsJ0fHDitj6LVfePixA4qg7k5r3MyaUfyuIXlC1IGLp22T/SWDnTpWFRXOasTzgDzMUSvh37ZC3hlsrSl1E7f9XV/5df09GCnr6l+s7qafttLZwqfbqvTiEYDuHjB+3ezGYx01mj49SqZJDg5ORj2tdHw3ivtZ72zutdDoPNY7XyWKESXLsF4n+ptYtOe8XHqEjI5Ut3n3hbBa+DYnXTrKSxPiKpv3PXdcbWx1DLHdv1JF2lJWkrenbQ+Y/su4tSPwqK6yfkC5vMyTc7To47q9QW1T9lma8vvRzbR+ydsouok6mKBYWxseH0y6jVKP2vcAX2JmKpGZNUH4dvt4D7hpr7oqD3HAb++qU6cNH3/tvtJXdGuDq4nFXcyB/tRKErsO9BxnBscx+mvL3Vd90nXdT/guu5/BLDmOM4NMQ7zBwBeDuABx3Gecxzna/qf5JdAdVS0zgvbDCUpDNQCSCRdJSuDzHqolLjnpod1VUOZhH3m5mYwxPnddzX7Ax0yc8w0a0x1913N/qBNS/u1vmc5MBjKbnXV/yx1YF4G0Scn0Q+5PnOlV6DLHxu9U6TR8Colsnpfryj9g+85i69/3T/m5dPzeNG+R/HK7/o6XrTv0dQ6a86ciTdjEPDSvLMRvT+evFbtoLn7rsEBtM7GYCVzdTXYGba2Zh7YFnplWP2d7Gus3/ummYimTstxN5yomuR+lEkdpmfbtGIobXqDSg/XOTvr5wtnz4Yfy5QnyHv146qvlecX8MKPXnO193P92ZOZ7//oDYN7Ygq1MSYr1NSyUF85ZXquJb8XEslELVP0znx1chkw3Cz6tKkdzVGNtriT65gf1k/R6r5xxV35SjROx4428dlP7ynd86VHUTEx1Qn0DnTpWFQnQ6uD7Xfc+ZxxCxMJidpo+GXv0mnv99KW6vWC0atkEva5c96WT7Oz/nHC6jdZtb2GJQPZgHfdMzPA62/y6k8vf7nfjga8NDat7JYoZ6cWvTboqcXgJAb5vdRD1bJfHfw2fffyWpk8qe8Dqx8vjF7+xHmfqS2XhKl8GEcHN8sponyNu747rjaWOlnddv1xVmKrRk1L/f1qfhgrb+x5/Yt6hLWotoFplbJKJqPZtksZxvQ0Av0OUcLqJKa9z5Podr3+bbXe0Ol49YSoiXzy+RKNVb6r5WUvWqq66AA9b5GY3FNqH3i77dUdFub9fipZSAWYy8Zud3CCpTq5zlZnVb/fNLYjirrvq9yPwjpLOhq9mE+w4zhbAK5zXfezht99D4DPuq5r2Ikp8Lp3I3TXWsB13V+OdUJjsr6+PkKWV11TU1M4f/78uE9j7Pbf5O2F0m77e3IA2wX+SrDAD33tspeB65m7+p7PfWZP4jQPO3aS69F/fvxEF0unvQrBwnzw2MdP+CH+JPTc8oo3wL2+7hXSZ8/6FYpu15+Bps+ufOC+pvGcrr+xG3jd5qY/m0/P4nbujL8fsIQ5tw0GJSErB/btC1+p0GoBD93fxA377YNQo5qe9lZCbG5FX5t8PzIZYv6WwXtHvb8Xl/w99j75QDPy3p874A/i6/fZ1NQUfvXXzia6Z7OW9Bkqk7zz8enp6VjzbUcpd+Nck9yPRdRqeR2kMlHJdq7SCb102u9QVfNn/Rk7fGSwoXXo4OAqJP2ZFGqea9Nsep3gelmxvOLl72tPeIPosnrN9DxJPthoADt2aO97wnsO5ZzjlEejSPP5kPSX7xXw81Epv5LUDYqCdcFodUwjUz1AmOp0dUyjYQyTTnmUu2WW572XZp5ua6+pZc01VyPx50kZ3Gx60bc6HXu9QK1rSBtAL+vU18jrsmrrjEt7h18nQS9YP3njXLff9n39TYOrzFWShnp7cHbWr/8cO2puFyeh3oeA+R4Z5V4d5ZmSa2u1vJD2/XNcsdcbszBqGtuwrLOrUtrELXeTUMvoKqVVkRU9ncPq2mlS80O9jNOp7Xi1T1b6LdQ+gbk54J3v8Pq3TXnuQH1mRVm4o/xb+kLUz2y1ovtgw8zODi7wkuOHDadlXccJG5Bv7/D7etXz2LkTuP8Tg31BanSbxSXv2LI96fKyfyx1i079Z2odcKLl1xn0/h/1ffL9jnL/msYmktRl0u5jGXdekVWdpUjSSuOw8jlJyoUV8rsBPBt1ANd13+267i+H/UlwPkSFkyRMTdJZgep7ZmYQugeYbcZf0tnYtnPUf67uSaPvySqDp/p+NbLHuAzEAv4ed5OT6FeG9NV4UbPAJif945kqD5cu2Vdum1ZcJqnghIVG7vW8iltUJW1rC5kOlAPeJAVZtWAjIQEvXvArM7ZIBKb7W44dde9HzSI03bPjnC03yoqGJOfNGYH50Vc4F4kMfK+uAm+c6xrPVUKTy35ekmfKKnF9v2/A67RWZ2JLA0lCb8mWGbZIJjIjWQ/lNTvrP/u9nr/lhxxHn2Gs7iMVds83GuYtOGTrCr08euh+L3rKsA2erJ8/KQcGygNtdreK4cKorMJm91d5Zj9RmDTzdNtzJCuE1tbi1af1/0u7bGEeOLTQjtyfVOofV13l1T/Usu7wkW5/uyd1JXqRqHWaYcKnzs4Gvwv9e5GQ7efODa6S0z9vYd77PvQ00rcgi5OHhtVp1PtCtuQ5tRh8jRphIOp4aTJF6BvHitNhyym25YhIZJ0fZJk3quceVsbZrlG2hxNqXm7a0kONcCrHUusz6rXq193aji6q9gPb+mBN+4Kb6JE3pY84at1p3HDpOnXr0rC6yKf+0K936dusyOIHfW/3ycuC9TOxuORHF1yYRz8arLqQQu2/1X+m1gHl8/V97iXCgDrALka5f43beRrq10l/XlZsW6cj9E7cDr3+rx3H+dfbP/oJ+b/y51cB/EcA/2vYk3AcZ5/jOL/gOM6fD3sMoiJIksnbXhuZuUkom45fqOkVEjXDV/8ddWy9gmM7R9sAaP/zV8zHVz9XwvhKJ8DWlnc9m5t+eL7V1cHPktAti0vAa1/XHVjhaApxZ/LJB5qBykezif5AU1KyajzuZ0eJ6jySUIW6ZtMPRRRWsZKK4b59/mQEdaB/dhb9gSb1nolTyV+Y91fDSkh7nfqdqiECgcH72XTPjnMAfZTKR5KKWNUqbUWm7oGdtjSPa8pfDh30Go9qR7fko9KhKtRtMg4f6fYnzLzlze3+YLU0nC5eRH8ClOk5u+Zq77N73WBetLbm5z2Nhvd5E63B45jyFdP+4mpHvfo+NV3VbTrSkvXzp+8Jr36mOoFAxYYPVdG4Q20SjUuaeXqcNqU+eQ0YLOv0/6vHve3WXf1O0sNHzIPsQHBim0rqJKur8TqZs6J3jqv/P3Cz345Ken6HDnoTEdWt2UxbTDWb/p6prZbfBvrUHzYDdQPZ5kzInuhqmHyZCD8zEx6GP2ybF9N9aLt2+XlebZS4e49mbdhyim05IhJFyg+S9pup5x42UC2vkz5qmQAukd6kv6/T8eoRQLAMku1egGA/xPETXWxsb2mihgG3nWfc8jtOtNFRJvYNu5J9fd27htlZ+7VIfUGddCCkbrEw72+zI57WFk1NTw8OcJvGD+RYav+t+jM5Fymnm81gma1O/tP3UldFTeI0ibtNjCwK0e+hqvWxsG2djqjU+z8BHNv+0wOwoPxf/vw4gG8A+BdJPthxnG9zHOdfOY7zWQCrAP41gLUkxyAaVlSmO86ZwGGZmxRcjYbfuDdVumwz/qIyTr0x/cY5bzBaKjNR562uApc0lEqSGtpFn80mM+fUfWaBwb3Y1BXyo3S0yMx4dUC52/UGdx99LNmxZOZiVqsj9E4d2V9wwbJNn+zZbtqTXb6H3va5qjMzZbVDu43AnnbqPaOvLDCRKAOAlyYSgl/I9ygdbYA/Q9E0WBY3KkOeHTdRe0PaJKmIVa3SVkRqnqI2MNI0bCPJZul0sHEjq4DUjm49HwX8fEM/r14PuO3WXQOhUWdmop8ztTySCTxzB/wBbllZpq/8BoLPtT47WVbEy/O1uenlDf3nrYf+YH3/vLavP07ZHacRlvXzJ3uuq3lt1GeOo+HDVVFEROlR89Tc8vTt9oBp8ppe7kSVQ1Jey8C3tBf1+rscJ+6qrbyobSDx0pf6/z61GC/akB6JDBicWCj1s5On0G9PP/qYF5pU7NuHwAaF6so5wB9cb7W2V6ht13/0+pN8H9Lm0stu0wptod6Hpol8gH3i4jB1JFu9Iqy+UdaOX7bliEgUKT9IK9qo6viJLja3/En0pgngah4ufRFq/n5ysTMwSDs56ZWj0rcp5WPYeap9vHEWEIXRV2bbDBONJky3G96P9Jd/6W2Ld/2N/op/6Y/Zt2+w/6S5veL+la9oot0GDi54+5Hfuzw4KS1q/CBqvKLb9bbuUX+vTv5T+6RM7w+bxCn0PmW17mA7P72OFed6bNhHUn1J9ix/AsCc67qPDfthjuNcAWAewJsAvBbeYH0PwL8D8D7Xdb8+7LHzUtc93KKMe18Gk7h7f5v2cZDf6/ttjJu6l0d7Rxsf/minv5+Iad8NdV/XOOev75mqevhBfw8TILgXrPxc9kRZmB/cR1ZeF7Y/m0r27hZqaPLpafsq7lYr3uD17Ky3Qj/tQe5WC7j88nRWmevXqe9TZ0pPdf8gIfvqyHemf48AjN+rTv8OLl4I3mMA+vedVO7ke5R7Ut8nXT9fuX+OHW0mylfS3qdplPyjrOq2Z7n6PW4kmIVcRJJX6HmGTJyRa5Pn674/8F/3lje3cfJUx7hXuf4cqM8ZEL5vZNRzEiin1vzjmPZCk3NS/6/udybvVfdX/eQD5mdTP6+4z7PpXjLlE3H3vUp7f6wsJM3rilgXzFrS77GOaZQU0yge7lmevqzvvVHqj8OUGcZ9HFeC5XbcPRynpqZw4/91tl93UNtbsm+m2jb48peLWa/auTN6NVlYG9H2u507vYH4ublgiNIwso+ofD/6Hu8q070j32en472m0fBWqMtrAX+yuvr6OG0lY/1viDqL/kzZnoGqtq3CsKyzq1LacM/yaqhSOqfRb6b3Nw/sab0SDIstZYetnJP+Sb1vW40iKv0Yjz7m9TXq/R7SN6D2j87ORtdHJCpm0YXtUX7ooJ8u6uvU/hP9Ok11DV3SuoDt3gr7ud4vrb7O9j61niPXqdcdwvqxRu17CauzVCmvKKo89iyPPVg+LMdxJgEcgDdAfhOAHQD+HMDHAPw+gM8BuNF13U9meiIpqWvnQZSiZQjqIKI141yxZ5T6oHERG277X99Fp2M+N1vhEXcQXa5/ctKrgEhBqh5X3bNEHwBttbxKztJpr6CWwU/1/dJBEEU+O+4+3nGPqwqreAwjbDA/LhkYl/SankZgf3dbushqANNMRNM+M8BgZ42NVG5N9IpYrxes7Mp332p5f2Zm/AEyAIHnVc7x0ME23vqTm4HPyWuAKawClPbAfFHUbbBcneRTJnEbdLaJQ+12cELUzp1e6FE1zwcG86CBDtft51AaZsbXrCQfTNcH5NWGMxBsAKufB/gTevTJVuo564PzcQcPTPeS6RridPjqE5306yiKpHld0eqCeeCEgvQxjeLhYHn6sr73Rqk/WgdLLXVi0wRn0+vjDF5Kx7cMyqriTlIuKlsbcHbW3JaKmmyt1tGi2oOSdkBworn+cyB8UrM+UVBtr0XVRWz9AvrCAWnrt1peeNxhJ4gl7UivMpZ1dlVKGw6WV0Me6Zz3ROpRJn3r/c1CH4CN206yteFNg+v6NpzCtGhomL7hcbNN6jt00F/woPcHtdvBOprUI9QBaFMd7tBBhH7fwywyiHMPmRZShS12ML5/xe9Tnpmx12OyGMsJq7PEySvKsGiiyPIYLE/0rTiO812O45x0HOdxx3EuOY7z3ds/v91xnH9sedvfAvgggFcAuAPAd7mu+/dd170dwJkkn08UlxrmwxQuRg21YQqhUZQ9ssIcWmhbz03d11V9jR6uTfaAsV3/vcvNwJ64angXddBVVhWIrS1vQGNryxzu79BBexhxfS/u1VWvkhR3MDtuZejc+hL+5vFr8MU/ewH++sw1ePbCUvSbYkpjVfnaWvB7vHgheG2SLoAfVkfeZwopbRso138fek7acfV7TPaBke+91/PDlcu1zN/iVVbuviu435Eawl/O8dTSYI0ur3DreripsYTOpEw9+hjwzN/5+cDfPH4Nzq2nlw9kYefO7bCdMVx++WB+2GgMPucvu9Lfc0y2YwC29wJXwpHK/mPSAS/hRdXO5JOnvMZunOfEFtJNfd+xo0188oEmHro/mFcIPR+QMtsU3su2J7jpPNV8Rp79O+58LtY1xAlVp9ZRTNdRFMzrohUprCIRFdsoeWrSLYhMoTBNr5e23eZmcC9y9fOWl82drIASIlz5//R04ssboLbTsqqfzc56oUhNbJOD1chZs7OD+36qndcXL6LfvjGlyfwtCITGV8Oly5Y6su2N/l2q7RJJf/lbba9F1UVMYdwB/1wAf8sdWyj3JOQZAIJb7rC+QUR1Zyqjswz3bPq8uH1t+pYl0he5uur3BcjrkrSTer3gNV9ztXfsM2f8kOL6ViGi04kX1WUYedRJhC36zfKyt3gK8Ooghw76W7Xo6fvQ/V4fivSfRG2vYxsX0Pf5jtvPEXUPmfqk44ay7w80H0C/T1kWeOj126za6KPWWfLq06bhxf5mtwfD/wTAC+ENfu9Qfn0J3v7lJo3tPz3lD1Gm1EHZqAwsLKMqUsNNL7xuu3VX+Ln1tL/hF3ayP8vMTHRGrf7+2FFv0EJmv0/u9l/XaAT3kBUDBdT2+agDpLpmM9ipsLqa7srvc+tL2HzmbTg5dwEXfv4FODl3Ad/8+ttSq/RE7X8zPT1YGZCBZzEz499/Uvjre+StrvqdJ/o+M+prWy1/cEieDUnfRsPfB0+n33Ny/wDeueqD3tI502oFO1jk3jF1jgj1WZNzPDg/eHPkNTChP/us0FTPH//RYD6w+Ux6+UAWLl2Kvw+6adJOr+d1hqod23/xhL9396a2Yn152XvWZVa2DJCHTUpSJ0iFkYabTKgRUZ0C+uQa/Xe2cjEq71A/Vx08kIkBpsk7ps+LU2+wTWij8ilSPZGIqsuU14SVa7bJXFK2HT/R7Xc4yuCsOplaLaNnrvTaNocOAu0d2ucc8DqxVerEO5Vpr28TUzst7frZ7Ky3//fysr2DVm2Pqucuq9/uvqvZH2xfX/ei86j6ad/zO7ibTb+PAkB/j1d1b9CF+eDkdPkuZ2a8QYgb9gf3iTftdR6nH0QdEAeC6SDnIvXFffuQ6kICtquIiIKSTopTDTOoPuykbyDYHj90MNi3IH0B6qCmbZGaWJj36hlqlBV1sph6zDNnBsttfcGVuOoq73ej7Ck+Sp0kzr7occnENanHAQgsKpC+ZNNkAn2ivrxOHQzX77XjJ/woNVK/SNLPEXYPyWsW5v1JhWF7mevXEmdgPGkbPc99yDnZvviS7Fn+GIDPua77k47jTADoAPhe13X/1HGcHwTwG67rfpvhfZcB+EF4YdjfAG+Q/YsAPgrgEwA+C4ZhL70yh/8pS9gvff+xd75jT+RevEJCmrz2dcEV2vqeMqa96iZ3+3vhXrxg34tN3ZtawsuqIWTk/RIKZWYG/ZA611yNgb3SJcydut9uWv7m8Wtwcu4CbpzxewgeXOvg0PJuvGjfo7GOMUrodj0Msm3Vt3RyqPeoKe0Dr1PCuYTd26Z9gaNCMOr7/+h73Oifd/xENxCKH0Do9gi6IuUrZcknRlG3MOxXfcc/wMcOjJYPFIWE+rSFDTWZnQUef9x/PsNC0ushzFotP3qEbBEhebVswxHnOYkKY6521IdtHTIMPb+0hRlrNr0JSYcWBreFoKAi5dlFxTSKxjSKh2HY01eHe08N2T3RMu9jqWu3vTLwwx/tBOoC09PAvcvRW2Ul3Q80jXZaGvTOd/Uape1lC0Vr+73afkoaIlRNZ9nWqh89biVZG0WtA4W9Xw/xnpTtmapDuypKHfKbYVUpbRiGvRrGlc5heaWaj0sfodp+jrvPdBrUsq7R8P6oZWZ7R3Bfc1OZ9/4PTODkqU5gyzQAOLU4Wn/wqKHY86yTRPUxS9h0te4QZ19xfQs4U1h1fVxAH3/Iu6y23bdZ1R/SCtvOPDl7RQvD/goAJ7f/rT++5wBcYXqT67rPuq77Mdd1b4a3Kv2tAL4K4JcB/NH2sd7oOM4LE5wLUWqKuipIn9mkhrpZOh3+XpmpJDPoul3veGrBKw1suf5HH/P2f3nt6/yVBp0Nf3Xi+rq/qnBje7xAji+DI4B3PFl1oIaQWV/3Z65tbPgDOqur24MhM8FrkFXTSStGcULkPHPxKbzmJcGlEa95yQ48c/Gp2J8zTIVNwqXPHfBnX87O+gPRemeLhDQGgivDZXVDoxHsyJHvTMIlq+8Tcl/NXOnPSpy50jyzTQ/BqDINyOnP0rGjTbSawTCC/WMfGHx/kdnyiTxnIFK61i+E5wN5htsahhp9Q/LpuAPl8lrZMmEx4tIkv5Mwo/O3AJ/6wyYeftDbrmOi5Q+UtyKKUn0Ft21G+8yMny+qq92GYXpOJb88eQrGc1FnPD9wXxO33bor8phpnVuaxy+qql8f0Sj4fFDWGg2/nJu/xV/ZY1qdNXcAAwPlgDdRbv9N3f7KLZuogXK9vvXMxSdHbqep4q5oN5EVbYDf7pVVW/tv6qJhuG61U1mNygX4q7OA0VYW7duHYI9cSIQwNby+0CPHRfWFjLIqzySv/pc08lLmx0SUFz2/Ccsr1Xx8YOsUpd1sW51uy9sOH+ni+hu7/S0f41AjmuyYGByc7mz4/QmdDoz56cnFDjob3mR+NRrpqOVP0oHyNOskSbel6fXsq9GlbqHXHeJ+3ypTWHU9Eqj0EYcNlB8/0e1HvDH1ZcjvTPWQKLbryKr+UPTV3qyL5CvJ3fU1AC+z/O5VAL4SdQDXdZ9xXfc3Xdf9vwC8GMCt8FaWvw3Ak47j/F6C8yEqhKwyLb1wOHa02e+IiBqolQJE3YdNnUkGeB0HajgcGWTp9YIVLlMYF/n8Xs/vZFFD6eodA4BX6EuYuF7Pa3RLReTzf/ICPPR71+CZv1vqn9swzj0TL0TO3skX45EngyPTjzy5gb2TLx7ug2OSitqxo81+yMLHHx8cqFLD2ashjdVwiYAfNlF+L+ku+8nJIJC8d/9Nfti+tTX0B7L1PXyFHoJRZdsrSD5LKkbqQHyS7RHSMszzmeQ9o4QRZIVnvF6w154PpBUCNIsBd9lGwRRm3UYm6th0u8CePYM/l85zaaRevOg9y4tL/n5kEr691Yq3l6XeQWsKxY5eMKyrhIKX0LFA+POj/84Wrqt/TvJzpWyNaoilFULUdpxxhSjNK19iCFYiOz4fNKyoCVhXXeW33dRyTg0BrpqdtdfZZXsWmeBsE1YXMtW3vmWyhV/55MXAMUZppyVZ1S5kmyq1TXpwwasXnTnjT+bT9xbV2zjq/uHNpheq/fobu3jjXDA8rcr2HaoTrdX9OaPqEaYJh2qnsDowon+2hF2PGx41D3m109I8RlxsGxLVW1R+Y5t0btrSUJ8Arg8C6gttJN9RFzVFkfMBYO03FGoftmngfnPTK3u3toJpYKpfZLWoIe06SZL+GmHas1yti+n9J+pCA3US3+RksA9YFRZWXe6LM2cQuYmyHibf9rthFj6Y7lv1/k+7vCzKIkrbdbFtmK8kd8HHAPwbx3GuV37WcxxnFsA7AHw4yQe7rvtV13X/g+u61wHYB+CXAHx7kmMQFUHSTCtupm4qHKSRrO4JE0bdu0TVbPqFqQyeBj77gF9Y3H1X0zjIMj09uKerpIHaMSB6PWDnxNvxlPtCfPHPno+/+PNvwcb6sVT3o7v4d7fjgze3ceNMGztaDdw408YHb27j4tO3B143ecW78GP3dPDgWgcbWz08uNbBj93TweQV7xr6s+OSVf5Cn/hg6pTSZw1KODyZqTgzE9xTRp19qc8wBPzKlLpPno28b20NgX2J9BDs+nukYqQOxI+jAjJMpSLJe0aZgcgKz3j87Ntvw74Xfwu+/syTeMvy2UA+8JaV59DZvIhnvvp/x8pLwmS252YvecNrYR4DHeA6OabkH9PTXt6+uYl+57o0zNRGkfx/ayv4OlXYanLbbGjZE1Tym4lWsCEW9vzov7PtY6XufR52vOMnurj2urOBvDut2ce244xrdnNe+VLRZ28TjROfDxpWnIFT09ZbUkbr+15Kfd+Z9V8fNvnuq0/5bb2n3BfiK4//UGhd6OLTg223D81djhN//NxY2mmi1/PaMA/d70VMkyg8J0/FW6WmRvKSttMnH2gORGwzRfaxfYfq3uRqHhFWjwj8X/m92ibTo73pk/WL0HmsyqudluYx4mLbkKjeovKbsKgg6sC1Hu3RlI/LZwGDC23i0vcXl35D02rwVsurP6hbiKjH0aOK9gd/lWimgLmPBefj9bHodZSvPvX2wO/tdZJnx1onUaPSAH5aL51Gf+KdTKKTwfb1dQT6+ttt4JWvaMbeTxyIjkggUU9Nfcp6HQRIVo6GDeSHTRQsO9t1sW2YryS13l8E8McAHoK/ivweAF8A8GcAfnXYk3Bd9wnXdX/Vdd3vGvYYREmkOQspaaYVN1M3FQ5qIzku08D1xIRfmDYa/gpy26pfmVV+6CD6IdYvXvRXNsvg7dwB9FcZSohwWRH45NrbsfaF38bSwhQu/Py34EVTDXzowG7jYJRp5XxU+J1z60vY6DyF7//wOq5+/zfwsS88B8AcIufy6XlM7H0fDi3vxu73fB2HlndjYu/7cPl0xGhSyLlEnZ8agufkKX9QSQax9EFo6YiSCABAsMLR7fqDW2trwRDn6n526nfSbPohhdee8F43MRG+yts2YzXsGQqrNIk4q0LvuPM563nFNUylIsl7RulEsn0OVxVk5/rXvBr3fuy/4eQPefnQ4at3YWHxGex+z9ewcLqJS5s9LC/08Oxmb+QQoKbG1gdvbuPc1/7FSLOgTXtjRjl5ymss6ZOnZmeDg+Pttrdy6uEHm7h4wTzpZXK3/37ZxkHI64DgDHVpqC2dHnxmTLPfhZ7/mWbJS0NafV7knCTMW5zOBP346nO4vOwdSy230+hA7u/FdWAwHx5XB7WaDlnmRUXsgCcqCj4flJQ+OBvWaalv56W3TdX2phz3i1/yyoGwvaundr0d7Y7f1ltamEJr81Ohkw9tW2Odu9Qdup0WRV0tHrY6TVaBT+723qMPksuEvre82d/HdHnF3xtUBg3UtpPO1OaNPYlOCVNrixCmTnyw5Sfqa8LqQqq82ypRW/jYpJGX5pkfszOc6oL9HWZR+U1YHqGW5XHS1xRRZnkluEAmjBpdTp+4Jf0Lah/pvn1e/eGh+80D9zt3+n3Ss7P+auRGw/sMiRJj6mO5+wfCFzV89am348wXXoAdl4J1lB2XfjswYG6vk/Qwf8rrM5pfPI/OjoOp1UlsZmcRmNivkrSWqH5Lp9H/LvTQ7+q2ch/78FS88qxnXgSh1m9koH7+Fu971fuIZWGCTJBII7ponImCZWfr4ypC27BO+Xajl3DjXcdx/hGAfwTg+QCeBnC/67p/kMG5FdL6+nqyBKuJqakpnD9/ftynEdDvhJ4bzJT339RFZ8PLhKRjP4vPMTl8xFsBrM7Wj3u84ye6Xoj0A8A737EnVprLezY3/Ua+VHyWV7xMeO0JvxMl7FqOn/BWovd65sb99LS3f518TnuHt795rwc85b4QSwtTuHHG61B43u1/i/M/9y3Y0fJrUBtbPex+z9dw8/w3Yu+922gAZ5/2Zhd+8OY2XvOSHXjkyQ289ePn8Ms3TuKFu1uYXzyPFztfNb5fQgeHrRJoNIAf/ZE2PvThjvX3BxcGQ90LGaR+9DE/nJF675m+c9t9IhUUlXyf+s/lM0z3e9jx49zPoz5DYe+X38n+x3GfrapIM39KIu98fHp6OtYOVKOUu+o1/ezbb8OpD/0Wlg7u7edDAPDgWgfzi+fQmvg2nJy7gBtn2rj6/d/Ar7/h8oHXHVrejRftezTWZ3/xz16ACz//goE8buq9X8P5n/sWPPLkBn7snk6/A7jRMOerzeZg/pQ0DLvQP0PP/9o7/OdN8vtGww/XCngdx6r+yuwV7281nwO8/EnNmx5+0M/3ZEXVVVf55ZB8thwv7NlX80P1eZFnSP+5iHrG9OPOHQBW7gEO3JxuXmQ7j7j5cNL6R1rnZ1PEumDRMI2iMY3iGSad8ih385JF/lfme0/Pr03pc8P+bn+CszrgrbcJ1DJYjUwFePWGh+5v9t+j0tt6QFh77+t45Xd93fger15mb7ulRVanqe1HtV6m0utiDz/op/Ghg210Njr9drWaLlJfm531QppK+gN+BJ2H7h+tHSXfUxZ9Hrb3xz1u1DOVV7uziCRtsq7LlVGZ82Jd3HI3CbWMLmtaleGZVp/NuH2v46SW3YtLMJb3A69fVvqBV6Lb3qqw71DORS8TTQOmellq6utU6yK2PhapV4hz60u4+PTteObik7h8p/faxQVTP5Bf3/ibx6/p9weJX/rDC/itzz+HDx7YE1lXCLNzpznEehjpRw7bM3x5xZvUL6//5ANNa1+vLb9Q+2UA794J60ORz9JfV4bnOmtp5clFTMuinFNaaRxWPie+Otd173dd952u6x5xXffn6jRQTuUStoI7zVlItr1ebKJWh4ed9zCzidQZgzJLb3HJ+6OGazm16O+/Zlv1bgqPo1pfD/6us+H///ylzcAsvVc8v2XcL3h3uxF7oBzwjm+aXfj+H7gc737oIo58/CzOX9q0vj/OHmy9HvoD5aYV5L2el547d5rfL6GD1VX+slrh8JFuIIyO7PUt+/WeOePfV3olBvA6YWRV+aGDwfOT+1tWgk5O+r+z3YdxIx+M+gyFvV+fKVm10DpRqjpLctxOf/SDON8xrxg/f2krMJP4514zibd+/NxI4bb2Tpr3RH/F81vG1VW2fFU6Z9VnO+5AuczEFvpnbG0N5tkSgu3Y0aZx9resQJKV6GrUCWBwfzP1+Q1sEWHYx0r9bONe5gp94pD6vERFt4gT4k497rGjTXz203sAxCvn47LtxRVVFqvnmWUeybyIiIpqlPyviisjorY4AfxIVvq2LNImWF0dLINlpforX9Hsr+y6YX8X11ztDRirK8/0th4AvOL/Z27vXb6zgXPrSzh/aRNHPh7cEieq7ZYWWwQg0+o0fdJiP+rMBnBqqdOvB6ltvdlZv76m7uve6/lbqu3bN9y5q993ln0eaW8Voz97cZ9jiRg0M5Ps88qgqqFkicKUoY1RtmfT1FccFv0yLKS7OH6i2++fPHwkmH+HRXkzlYmAv+pdjqmWpR/6cGegr1OizKlt+xfsNfexqHuIB0O1fwsWF/bi3CVbP5Bf3zBt1/lf/uRZfPDAnpG25wO8gXJ91XeUbtfrIw6ts/YGV/InjUir9stI5Fn5XtXvXb7zQwf9OqXeB5Pmc13F+npcRcwji3hOWUk8WO44zk7HcV7mOM7f0/9kcYJEw7J1Qpv2cUnjc4B0BhlHzYAOH+n2B2FVaoVFCsKl08GBSaFWeNTKjBpu10YfjJECe2rnRKBS83OvmcRP3BvsHPmJe89iYyv5YhZbuJwn1rfwplftwt7Jl1jfu7jkdVhEhVEXvd5gKGPAS8+wmYIzM8FwxWrnydycV/Hb2vK/m15v8L6SGaLi0EFvJb8MMi0vAy9/ubc6VJ21qe6PJ0bt/Bg1DEzY++V3b35TO/JcqliBKkKInSp65tlN7H1ew9i42vO8BqZ2+h26P/ydu/DLN07ip373HHa/52tDhQA1NbaOfPwsfu41/qyVJKHdEwYCAuDlK6YJQVENtcUl/9l645xXplx/o/ec3X1XEw8/2MTrb0I/BCgwOHgtk4dmZoL7m0qjS7brkD9CBsxNHRR6aHShz1I/dtQb5JeQYLq4Ie7046bdaWI6D7WTICofzrrzmHkRERXVKO2lsnWAR1G39ABgDccetm+p0MtgCSP+sQ9PoaWsiJaySi339bYeANzsPA9vWQ6299768XM4+r27cPHp27F38iV406t24Wc+cQ5T7/0afuYT5yLbbmmxtR+fufhUfzsxm5OnvDK41QI2NvyJfWpbzzb5u9eL35Fta+eo36U6YKEOQOivG4bp/WFbyETRn7249ZhhtqLLStptzyp3PlexnU7pKEMbo8zP5sK8H0FOff6itrQwTWjSJ7fLIjHA397R1Ga/YX8XG5v+1pzyWdKnKQuK9K0mVVtb3gKjxSWvT2NhHmhPDfax6IsaTJPh9lj6gaZ2TvT/L9t1zi+e79dJbIPscftw1H6XYSIDbm3Z66wywV76judv8cPjA179RK0TAIOTFQC/P7rV8o6hfq/yvS+veBEEOx3vb9MznPZzXbX6ehJFzCOLeE5ZiX2FjuN8m+M4HwfwLIAvA/hfyp8vbP9NVBimBzmLzFZdud1seuHO4+wNY8tg9H2h9YIsijTMV1cRmAWm7mUnej3/89T9ys6cCe5DIpWZxx+PdQoBvZ5X6E5MviXQWfLC3S2c+2YPP75ytl8R+eV/uBuXtoCnvvQCfPH/3977x8lV1/f+r5ndbIDNJiwCokVdSNgPaGuh1qtUpJgWq22t2bLZ+KOo5dbYm9t8b4uoVbyt3vqjKuXam5oWbNFWqyZZ3KC2KhYEBG21FrRaOTHIqrQqIElIArLZnfn+ceY9530+8zm/Zs6cOTPzej4eeSSZOXPO57znzPv9/nw+7x9fPxn33X0K7v32TydeIyqD84zJEXzg64jNBpX7WjUafn1sLFgk0Rs5k5N+KRvpH+PaOBf0e4uL7v7xcm5XGXhdEcDZl2hv+P/amZHFLv3c6PHE9bdL05c8L+KuccXlxyca4145UJz89x8nnjCKC588hhd++ABOfvf9WP22H+Hkd9+PF374ALY89Tgcfmw5NPE6bc0IHlk+Dj/1pL/CE9bfmbkvlUy2pOfm7J7DeOnTjsdLfvr45jF2FHQcUZUr4pi9JLz5Wqn4G8CfXAh0mH5PkGoZS8fCkzr9O7N/e3rzulIJgocWF4PI40ol0FO1GrBqla977UAAmTjbuk9fM2pDOzccwQlFLppUq8n3VabFY0IIKZJOFmz6eQHchbaNepM7rkKL+LFS4UrPEXbtBioNseqqVHoOWauhJTDbnuvdsriED9z1KO4/WsPvfybYDH/rReP48NcfwfKx+3Dw6Pdx3V2P4r2/shaH//BUvPdX1ibO3fIiav44ueZ0zG0GRkfi53mLi367KAkeuHBja2l6wJ8Hiw8k/4/LyNOkmee4AuKjjrfnL+3MZzqZe9m/vTg/pt0+5d2miMDJQWGYNzpI/9PPv83t26pN+xQ3f5f5ruhbmf/L+3oTVTa8gdZjbHumK5KOjvrrp+KThKraLaElm9yF2Nk9861rLJLUcOLjZpt21hUMt7Li9x2XNaDT/+x+XLpwCKPjl4aOWzs5i7Wn/gVOXTOO9/7K2sgKOWnXcJ5/cfaMchtXtTzbbksAm8geCNrtaRnr9X35Dl0VBeV71YEOeq8hjrzWSvOy/Xmu3XIdeDjIovX/GsDPA7gcwAsAbFR/ntf4OzPGmLONMZuMMU9s5/OEZKFbZUFkoQGIn6Dqz7gmqXGRfGnPqSf1OgpML57IJokuw3fdtf6GuV0mTkf6rayEr6vL+woPH5jHD+45D9/6+in4wT3n4eED81hZAU47/T04tvqVmN1zGGveeT9mdx/ELz5lDN/9/VPwkysfj7teczLe8LnDOHW8ivm5E3Hkjadifu5ErK3ej/3fit8wX3Nya3Thby0cwo8eWZcqG1Si9YRKxXfc1q3z5TS3OXhPNo7Eeb7u2irGlB9WrQYbOHpTfXy89Rpybr3JJNTraD5X4vhIyT5d/liX17c37+V7B/z3zjs3WwnhIia4UdfYsbOGZ55/KHGsvVo84eS//7jkpa/Ap/Y9hpMtHXPyeBUL3/oJTlh9Eh5dPg6/8uEDePxVD2BmTyVzNrnN2slZPGH9nTjn6Q9g7al/gQ98Hc4o6Onp5OoWrsoVcYu40qJBB+LU637LDR0NLtfVE1fdx1zjKrMlE2PJYrPPpcu02/pqZlPYxoj+bF7H2rDWv3dd+j2LXkszwYn6fRexaBJVJtdFL/TfoE0QB+1+CCHJ9PMCuGseubwSLKTqTN04X1Xek7ni/v3hTGrxOQ4cCHxyaREl7NsXXgD+qae0zvWe9VOrcM7JI3ixOQ5nnzyCux9cwfZPH8bDS8D1DV/ssnOPx+Y9BxMr+bQTNBiHqwLQK25YwsYXXhmaN9u+1urVYR9GxqX9Ji2X9esB1BvVv8ZUxZ96EKC+azdaKsPJdzsy4l8ryV7pTY24NjN2oGPW+Uwnvof924s7V5oSwb2gTBv3ZYeyIqR3uH5/US085N8yh5dqH3oT9bprq85kHh2wpYPabXsk15B1UPE5pPR3ErIuDoTXWCSpYXTUt7NAOBjuY994FKe8534cOQacPF7Fdb+xFvNzJ6JSreCBR1bjtNPf03ItvSH/rQdXcOmCuz3f9DRCSVRS4dMOQDx0KP7edECCq6pNpYKWZCZ7DdkOXtBjCLXqjGhXZ/sY0pJn8d5g7UXOWanEJwjG+RZxvoxrDHnY/jzXbrkOPBxU6inrehpjDgF4ted5uxMPjj7HNQDqnuf9buP/WwB8GMAIgCMAXuB53hfbPX8RHDhwoI1CqIPPxMQEDh8+3OthFM7Gi2uhDdBq1Y+ciytLJp8ZG/M3KvT/UfcV78iIH6k+dUYQtTU97W++CiJzXfq2WvWj4KfO8Cf3U1NBZsGdd/nnkvPo/tcbNgS9yzVSHvfgj+dx9KG34+DR+3Di+OkYP+lK5yKG9Ib5uxeP4TlPWoU7vn8Mr7hhybnocfe/PwlrVv0Eh5fqmBir+J5ZpYL5uRNx0VSQ7njL4hJmdx/E6Wc/EPtdPHwg3RizMj3dKpuxVQ0Z3xts9Mxf79/C5ln3d3/BRYEzIA6QHLtjZ813Kjf5r++ytKz9rADx2ZQ7dtaa49mwIZxdop+9JPS4urU4oZ9DLTv7d1I2ipBN0RStxycnJ1M1P+jE7tr3NHXa40I65mPfeBRvufUo7j2wglPHq/jQzLpE3dUJtp5ac/KVWDc5iw0bkiN0XYyt8nWQXf68XmvV5y2fbfy2rnn/KHbtWcLysnuDvFoNXtd6R3678t7ICHDrTVVcuLHWfK1ajdaJmhfN1HDggL+4/MmFdDpAJonLjfYVaXWFjE/GtrDgy7ClxOje8O87j99Hs3TpTHq90c5nuknc99KPvqDrfrop836UUdFQRuloR05F2N1+ph+evbh5pP3/mU3+Yt7UVDBn0Tbcnm8AwVx2fDx9uVDxDfRcBwB+eN/r8OjDf4t6vYa1x1Xw4ZkTmz7W73zyEN72vDXNajtp53t50/TLHrkPk+On48ynXonllVlMnQF8+9vRLXBuvyU8J3/Huw5hz3xzOhvyg0ZHWudf9hqC69z2vE/P46SULZDOzxJs/yZqPpOXHcz6m9LXBTBwcy1NP+ibXtEL2XTL90trd7OgbTSfo2Lodzm7nm/R/1NTCAXDZZlXt6wpL4bPp+1T0ppnGvS6RBx6rblljWfvIfzoSA1nTI7gBw+v4IynPZh4Ptda88mnzjbXhPW6fRyTk62+1eQkcPRI8N1E+Wdb5gKZtfh4i25badt48Vf0sxC1pqLHEfda6Fox9jvN2k231oDzXLtNOle/64p+IC8Zx9nnLE/J/QAe7XAsLwBwm/r/nwD4KIAnAvhs4/9kAOk0c6esmT92aZLNs6290O2x2xF++v+6f7hEs0vWspQnk/NddbX/c7QjynR/OYn+276t2ixztm+fvzGxa3dr/xmbet3fKF8++FrsmjmCI288BbtmjmD54Gvx8IHWejmu3jB/9+IxHH3o7aHjvG+ciVNOeCyU3Xn8WBWHl9z9YA4vJa/ZuaIL88AlG52JMX+9byRnL/EXQ+68K9zv3c74n572j7PL3ogzIKUQ9XOlMzcF+ayrR70uuyTPgu5pFxXdnTWSL+vv0nX89m3VFnkAQaZGUnnCXlGmDAeSHq1jPvaNR/HHtxzFX/3aWpxz8gg+NLMuUXd1iq2nJtbNNnVwO0g2kuaxx5I3ygG/ZchlW2v4+4/6G+UbNoTLhAK+DtIZzpL5dOHG8EY5ECwoSwUMwH9//vrkscikUU8ek/SVHZ0ux6XVS5VKfAb51JR/v3aZ2XaIKm2X92eKYNCyhJLK/bdLWf1WQki5SZM9HDWPtDORXdlewvZtfvUrQUqFy1xWAtfSsGu3P7e0OWH8WVh3/PF44toRfHjmxJCP9dcvWoc/veNo89i08z0gWzlTO1tNqnNJNrj4ZT/7jAew/3tfw/LKbDPTPi6nRHyhy7bWcN4z/Y3yzbN+axntG1UqwPga/9+6pL2uqqPRmWD6mPnr0awgIP5JmupzmuZC9qZggTdqPiN2UNp6FUVZs8nJ4DPM2YKD4rMWfR/9JDeZT+py3HYLj9FRtGSN79gZ3xZUV0KVDVupVKrtk7Y/QPJGebWaLtvchV5rdq7xbFqHc04ewV/92lpMHFdxrmvbuNaa9Zpw2rWco0cR8r0Af/1D94J3yWZkJLzuv7zs/33zjVWcdy5aqvHJsynHAH7CgPgrrgozQPi719eLe02Is9+yye66jqZbZdfz9CfomwwHWb7dPwLwBmPM2g6udyqA7wOAMeYsABsAvNvzvB8CuBbAeR2cm5SYTp3PsjqvuhR3VDlYe+y2ctX/t0vV6g10u3zN7vklAOG+rXH9rfWE2xXNJlSr4dIvaTfAAXdvmOc8aRUOHr0v9Nr46OEWp+VDM+swMVZx9oOZGMvuKYlz5SpjE4csUtil/qrV1pI6gL+Qoo2/q/T9/PV+xOGWOb8UujgJUt4IaD3HzCY0nytZ5NIl9OU71n1j9Ka5vXimnaWoYI6sv7Osx7ucdCBcMlLYvq2KL39xnXOBj5B20TrmT+84imt+fS0umhrD3T9eSaW7uomrrUUUceXXBVkQ1sfqa8gmvQ6aOnbML18mpbnOO9cdMaszpoQNG3x9Yk8WV1Z83XTBRTW8aKZ1UUH/u+W+YhaqRcfNXhLWa0l6Sezk7CXREzJ9H+0GMmiiJqFpPmMHA/SaQZsguu4nj4l6Wf1WQkg0V139aM8XvpN0R9w8UvcI1b3Ko3SaLqm5shK8LzKQudDq1cClLx9DHK4sdJlDLh50+1h3Pxj098oy34vKeN8yh1BrLCC84S0ZXVNTvr8jiGwu2xpkcqcpvmj7UVJ6VrN+vTsgcPu2asiH2jLnZ5TrKnIS0CCB9LKZIQHwQFBGtZMWMxo5j2zwA8XasUELyCP9wzA/e4PisxZ9H/0oN1kj1TbDbnMmFSkv21pLDMyyy63biVz2GvbC3uiN8pOsQDhZk9CkySrXa81Razx3/3gFF02N4cMzJ6ZKjki7TmMH81Uq4fWS8fEgOcqm5qgMKLKt19FseSfZ9fZmtwT5u4LtdVCDvbYg37+d+Kf3GVx9zLWfqd+LaqsiuBIMhah1hqyBKWX4bfZTMA1pJXalyxizW/4AmAHwZADfNcbcqN9TxyTxEIDHN/79ywB+6HneNxr/r8Avx04GkE6dzzyd13aVlv5c1L9dSjnN2OMin6J6e42f4G9A7NrtT/r3zPt/XGXUZKPUjmITdA8V2wFJuwEOhHvDCHd8/xhOHD899FpcBvmlC4dC/WAuXTiER2uPRxZ0/9+oHjhRsjjvXH+xom7JQTIk9QIF4G8QuXqO676B0hN91+7wRrEud2RvIEtk4Y6dtdBmsv082I7Wvn1o2Rh3PZd21uKeeYR6Hqah3d+l/X2ITKV6Qtw16HSQTtA65u4Hg8nT2SePpNJd3WRlJfkYwdZDLg4cCIJuoq5hT+jqdf93OKImYVG/tQ0bgNturoaqn7h0oT0m0YXPfV6QoQ74v3MZqw4eispqippMxeklsdPSyxXw9eSdd4WDjfR9xAUmpNVHUZPQNJ+xgwFI98kjIGCYF10J6Vd27Vnq6eKaZIan8cVd9kf0DhC2n64MH8kU03MRmaeIDGRD+dgx4IrLj2/aw7jMbj2/kjlklI81deJIR/M9m917goXmSiU8zpGRYLN6375gM7xS8TO09syHg+OiNsvtfqKVSqN9msrm1zLYvz8Yhx6PfG8SjB0VyBwXSL9lzvfDADR9prhnN41dkjmj3tjXwczdpqwBeZx/Dj5lffaKYFB81iLvI4u9LgM6WBxozQKWjW69pq1tYqXivs/t23z7NNL42eh+2Nq2yXrm0lL0GB9SdkeC0er1aJ8jKvNcrzVH+R9nn+xvPaVNjpB+4knYwXwS6Kbfl+o1Lux72rABLRVDpYqf2GYdpCeJW3JNfYz4KuvXozUhweHzuHRiUsWiKB3q2njPQtLmd1I136jjukkZNuxJ+8T2LDfGfD7Dueqe522MO8AY89cAfgHA+wC8HsCC53m/33jvcgCv9DzvZzNcs3CGtYdbEv3UlyFt32cg3HdD9wmT3q52HzLpG+LqzRHX/yhrb46oPiZA0O9crmef+7KttWbvcrsX9/fu+U1Uj33B7yO+uoLa6HOxCvdi18yRlj7iWxbW4Anr70SlEiwopO1Zft/dp0T2Jn+09ngcX/1Rs5f5o7XH46ynfqN5XFKfmkoFmNscjlh0fWZszO2sSd9dl4ylx+389cGmk0T6VSrA2rW+AyR94V396EZGwp+99aagLI7u/asdK5FxpeKX93M9S/K96vsL9V/dG34uZWzSm1Ce6U77w8Q977F98Ryvu/RK2XuZ9zPD0rP8uBHgJyvA0aU6xldXcPgxX9ccW6njhpdOdrVneV5MTwcT2NWr/dLrcccCwfGSWaVtgNbj1WrQc0wmzq6y7rp3le4/Jv+2y7RHYS8yA629PPP6vUedV/dZnZ72g6bS9CzPUx91q1dikfSTL9grKKNkKKN09HvP8jLqvGveP4pde5ba7mnY6T2FfPOR9ueOeg4zMuIvjutxaVtoz5FkDgL4f9fr/mv/9uV1oeft7LM34ScHv9Ccr9VWPRc/+/Mfx9Ejgc/wg3vOw66ZI/jhkRX88S1+NR/xsS5dOISHf1LDT1bgnO91ip5vue4zCe0XCVFzqze9YV2zB6j0L9Wb9nIe/Xk975N5o5DVt8iythFFM5jQ0XdVz1ezMij6vBvzz0GRTTcYJNmwZ/lgYMu5HZ1QhN+TdA2t63Wfa7FJspm6b1+4v3aL/XP4FM31cMf1tc3Li9DadcMPefL6j4fWmqXtnvY/XvOph/HWi8bxkp8+PrSu7UIyw5OSGlw+QxT2Wm8crj0GLUux+VH7A/bzOTExgWc++1Do+2rpg57iGc2zB3gakq6X9vdYxFqy6IqiZWRTxnlWXvS8Z7nnec+TPwA+D+Dl+jX13ssA3JJiLK8F8M8Afhd+7/I/Vu/NAPhMinMQ0hE68iopykdHA7mikyqV8OuuaKo0EUUSaTc+7u53Lehs4Ch0FrOU1alU/I3hy7bWcN211WaZt5kZf4P7B/ech299/WSM4/agj/jmEzGO2/Ho8gl4xQ1LoWzvV31iCeMnXQkg7BSsnZzF6Il/hi0La7DmnQ9gy8Ka0GaTlK85ujzhzCA/ujyBs576DZx+9gM45+kP4vSzH8Cb3/KNZvkZO5ovKsrQzgrUPXSFmU3R5W+AcOm76enAqdkz7y862WXxVlaCDP39+4Me49JvRxwt/dnZS4Lv1B6j7hOsF62iniX5Xu0y7XIv8lzK9aSMz4YNAOpBv+J2Mlk0cc97VLRhlkjuQYl8Jr1h9IS1qFQrmD5pBCePVzG/uaHv5k7E2uOqeOGHD4R01+TJs5lbORTBPfcEpUaXl+P7eu3b5+sHuY+HH0bIBqxe7QcYSSaUjlwG/IoTGjmP2JS4SihpcGVOi00UlpfT98yM01G6dJjWI9oW7NuXXiflqY+GLfqYWVqEDDdl1HlXXH58ahvm0mGd3pOdGe46j/bjR0bc9lGX+F5ZCbLF9dxQMr82bAh8CNlYHx0BDv54Hv+1/zx86+un4L/2n4cN03+DHTv9CixPftImVI6qOeOcP2f82r/+ZiggbfykK/GKG5Zw2poR/NGF4/jdf3gYa955P377hkP4019agxteOolTx6vN+V8SMo9cvTq5b7m9sJ1mUVr7UVKmVLflcs2tAOCZ5x9qaccln9fnlAyvHTvDmwayOW3P0bJW+sqyUW73oZVnV1p+ad837QbAIMP5JyH9Td7zjrQ6IUvLwzzGmHQNretd/s7KSpD1LP217fvU15D2JZJ5HnV9bfMmJ/11DJcdj7Ltdhn0793zm+G164Yf8q2vn4waKti85yBuWVzCJecch5c87Ths3nMQa955PzbvOYSXPO04XHLOcbhlcQmvuCFY13Zdc25zkDUfh2u9SNYb5G85ZmTEX+vV9+S6b51MoL8rLUvd6tVuvZemL7jdgzytH5t2raSTZ9pVZSfqeml/j672n92i19VKyjjP6idiM8s1xpgVAOd7nvdlx3vPAPBlz/MGvow6M8vdtBPZ0ctIlzRRPjt2BpvSm2fTZcK2ey1XthvqaInQW15pdTTsUi+uCHY7a+7kda/Hnr//Ozz8k2WcOl7Fh2bWYXbPQcxvdmd7r338X+LoQ2/HwaP34cTx0zF+0pWR2ZZ2xuPysu902dF23jfOxPjo4WYk4NHlCZif/k7L+cZW+c/InXcF53VFwUlmtD0GLUvXOCWaXyL0qtWgpJ08o+NrWuXsiuKTDEk7SzvuWdfRbbpiwW03V5vPoL3AY2cgpEWPVcbWbvZC1PF5RtAxUrpYhiGzHAA2nHkGlh95OLK6xdrH/2VTv8lC8j33ZCuTXgSTk36ATpoF4C1z4Wobt9/SWsFB2yFX5RG5ps4as8+tdZNUu5ic9CfbWkdLRQvRE1ER6nJslqoX7UYM66orLv2a9vfRrm/T6+jjPMiiQ4a1SgjtWjKUUToGIrN8b7l0Xqc6LK972rGzhvnr/XmTPQfV19VzxaTscvFh9Hxsy1y4eowEzb3/mtZKYZcuHMJRXNCStSWID3X62Q+ExvHwgfnQHPLQIw9izaqfJM7/7Mxwm7FV7t6etk80MuL7G489Fj6n+Cbj40G1HcCfG0qVMleFtjh/xR6LzOWi5l6CXZEsS3ZXu7jGoLMMgXye517q87JnVdHWRTNIsmFmeTnodN7Rrpxb9PrezrNj40jS2/L+1JQ/1xf9qG2VPU+Pu4ZdzVNXp9NzfJedlM+sWxfOYHdV/5yeBm77/OuwfORDOPzYMibGKm4/pLGm/VsLh3BYVa8RX8P2Sex1bVlfkaqeemxA+gxyqfwnayeSsCeyl4AE7bPY6zVRfofOLNf+ip1xDrT6EfZzbFcI3L3Hvz/xS/KqmNTOM92NtYIiM8t7TRnnWXlRRGZ5ls3yGoBneZ73Fcd7LwbwN57nnZzyXCcC+GkATwDwAwDf8DzvYKqB9Bhulrtp52Et+0Jpbs5KyjIm2jA2jdvecISXvRkbR6UCnHVW64bHD+97HVY99rf40Mw6/P5nHsZ7X7AWF02NYfXbfoQjbzwVq0YCfXFspY4177wf5zz9wZDzox0YyZqWTV49Lome67TkjquUnn1eu0yQOKPijOhjbSfn9luqoTLmcWXUhbjFMXuRy16IcgVeyDgrFT+rQwcHxF27eY640udWKwE9jpYSygnPa5FGtyyOxrAwLJvlAPC4k06K1HcTx63B6dOLoeOzlu8sCte4ZMHz2LFwaXWXbt48C4ytGsOu3UuhcmyuSa0rOMt1btmIdy0w75kPdJyeQOtAMNv+iS5MO2nrlo5K+/sos2/T7YXjLDpkkCdwcdCuJUMZpaPfN8vLSJl0WJQtiWp9kmQPgdb2KHbwsSDl0+1F6M17DmJk/FU48NAHYueM7ZK0QW4TVSpdz1OjFt7Hxvy5l8y1XH7Shg3BHFJacem2bOLb7L0BOOEE30eSTfi4TeeoYAh9nH0dTVxAv31c3PxQtxWrVIAvfL47foGUqC9607rM/hhAWxfHIMmGm+XloFOb3a6c806yyou4gD+9kQ7Erw/GtYIEWsuvJ202b5kLNmw1eg37OU9ahTXvvD/SD3nszY8PlVePWsdx+Rx6bdtGWmJWqkELvLR+i/YZXOXSZe3+298ONurtoD0g8E1cMtel9GcvQUugXtpS5vozSXY0KdmgnWc6qlVAHhTxG6NO7j49L8NujHmlMeZmY8zNAOoA/lL+r/58EcCHAdyaNBBjzKgx5l0A7oNfhn1X4+/7jDHvNsasynBfpM8pWzkru0SIPb52SohkKWMiJW5kE1OXd1teCUp433xjtaVsi4t63Z0ZuHz0Q/jQzDpcNDWGu3+8guc8yf/ZTayu4I7vhw++4/vHMDFWaToY+/b5zpMuM1Op+BN1lxOS1ItFypsD/t+61J3GVUrPdqD0Js7UVMOp2+Q7HK5x6TEAvqyEfft8w2+XAhakJI5gl1jZvq2KkYY89swDx5aDY/Wz0FzE2ORfX8q5yxgEeS5cZZCA+OfM1UpAb9jrsad5Xu177UUpXbnmZVtZxpe0R6S+W13B4Z8caTm+jBvlAEJRxfLbvu5a/zeq9ZytL2s1/8/CXmDXnqVmOTZZoJUSoBrXRrlcW9AlxGwbun1bFbfdXMWtNwX6Q3SOlu/uPTJo/y+JvL7nHoQ+E6WntO1M0g9J+iuuHUrUZ7L4NkXrzzKV4+p1aTJCCOmEbuuwKFuSufVJPfjcqDV3jFosPHj0vub8UHjOk1bh8FIdy0c/hImx6DljJ2St4FOv+/PP6Wk0W3bZbbaiSm3qjXIXMu8V/6RWQ7PUuj0PrNeB51/s+2BHj7TK1W6HtbDgz+ll8118AH1cXKnQhYWwHxeFlN+fv771ve3bqqE+5N0stZ7V92jH93JRtrUmQkjv6NW8I0u5alkXzFqZrJ25pEs/ylhlDXlhb7L+vu5afx1bWrvY+tYOqI8LyhoZ8ccwt7n1Pb2GvWqkEruWA/g+y8Gj97WMAQjWLtaubW3Laa9f67UNaYkpG+VAer9FJya5qNd9n0NscaUSBNfplnjSLk/apYg/It+/7BnY5dXl2ktL0d+lbtEjn4mzozt2BoESUf5UlnUZIalVQCdw/YGkJekJeQTAjxt/KgAOqf/Ln3sBvBvA1hTXuxrA/wLwDgBPBXBy4+93AtgO4M8y3wHpW3qhqOKcCdsRsMeXdqKnr5Flwz1qE1JnAciEevu2qnOzfHo6MPirV4c3yqVvyeHHlpsLIGefPNJ0Mp71xFFnH/FTn/Tc0DX0wgEQbAjrSbb0vUsz8RYHY2Ul7HgkUan4ToKrT6/0i1vYGx6Dq5fM/v1B/z77HLJJY183rm+N3W8OCI8hqt/P2otBAACanklEQVSPvv7C3rDjJk7z9m3V5maWfobinBj9Xl69XjS92HyRa+rvmZAsPOP8C536bnpyBOOrKpH9v4ugWvV1my6VHodEaC8t+VnYQGv/UlsXj4z4n1teBtaM+69JkJGenNg6tlLxxycTR8kSl/7pR48GxyYF1sjkr1pt7Y0p45i/PrA3cg9p9VQa3ZS2r5t+P+1mfRrfpmj9yYVjQgjpDzqdJ0v2krYx9lznzrv8xUu7V+aJ46c7F6HPftwIDj+2jNrYc50+VG1VeM5YBHpTW/qzn3du4JcsLrrnf/v2BQHbk5ONSjtWkKDuN6qRz8k8XRafs/odccdLEPfiYut7MzNBn/mlJTT7jkcRNx+Xe7PvMU+y+h7t+F4uuChOCOkF3Uyysq9j2/m0xOlHrbP1v6PuS4KvNmzwg8ouuMh97/J5vbagg92mz/Kzo12Z13oNG4heu37WE0cB+D7LieOnO+9dbGJUIoAwMgJ8ciFIamuX6ekgAEIC4aJ6swu1mp+8tWt3UN1Gb2RLEoJsjMuewah/+801Fl1NdHmlNdhPs32bfz4dWGkH++nvX2/IJ/kQWZ5vrleQMhDrOXqet8fzvM2e520G8LcAfkf+r/683PO8P/E878cprncpgDd5nvcOz/Pu9jzvocbfbwfw5sb7hHSNOCWdpJST3teb23KNdjfc9bFiHIHwZ7dsHsPYWGBopfSJRPfpjeexMWD9en9jZGL1aHMB5A+fM47XfOph3LK4hL0vmcSTJqqY3X0Qa955P2Z3H8RRXICx8Y8nZlXamd5jY61RdrZDMDISHYEmTlMaVo1Gv6ezC6LK6dRq/obM9m3VVJtTlUrrd6gdB3uzSVcBsO/J3sjWmePXXVttLvQkLRbEObtZFgraWVSIy3zoFiI3WcSiI0Wycv3HF/Dg0Vqg7/YcxJMmqrj/0RpW6hWsWhVd6SJPXLquUgkmmi5sXap1r+jUqKhlueatN1WxatTXfw81JoqLi247t2o0GKNEWx886C9ES3mwNPbRnsxLZtToqL9ILRPn6ekgslnbkc2NdmJJesoOWIqKhE46BnDLQ8a2vNwalJCGuIC6bsOFY0II6T5FVA1JuoadVSRzFO1DSNDpgQNhX2T8pCtbFqFf86mH8WJzHCZWj+LJZ34cR3FBy5zxyes/3p2bzUCt5leokYDx5WW/56gL8TEefjioSKYrvUmlHlfmnMzHKhXfX5yaChan0/odLh8gjX8ii+QyB5YMc/uZkAAA8Z9cXHetP/91lU/Ni6y+R5TvNWxzvl5UbyOEdE47G9/tJq00P+/4XFYdIscDcFawkfvatTuYA8tnXjQTLscuNsker9hNsbPnneu/V68D3r5a5LqzXsMGgH94+Ukta9dPmqhi70smccviEl5xwxLGT7oy8Z7jKsysrPjBaCKPqA1hyfK2mZ7231u8N5CFBMIdOhQkDOgKonFj0xVppMKm7D0AwfMjG+eSnQ6E113ibLHr2XXtcwDhqqVJPkSW55vrFaQMpO5ZngfGmB8DeJnneZ91vPcrAD7qed5JhQ2odQzbALwOfi/1bwL4fc/zvqCPGdYebkl02jOg2300Q9fZm6FnjGNMUa9LP49q1Tf29Xqjb9mR4Nik6+tzA2jpY657yKxfX8U999SavV5HRvyM56kz3EZfyqTb/V7edttR7PzXR/DwY3WcOP4kjJ90JdZOts6qpW+KK9IvDXaZdnE29FilHxzQ2ldP+uVOT4fLy09Pt96v7vEiiOylb53ul1OtArfd7B/r6qtz4olBH7pDh8I9d4Fwzx/plW5/x/Z5o/q6aFw96ZL6wnSDuN9nN/vBsd9LsQxTz3IAeP3rrsCeD38AjzuhisWDK5g6cQQ/fqSGkfFX4bTT3xM6dssccOPnkiOQ20EmV6IfXC0tpAfm1FTQP1PQukz0gugJu8+4tkn2/UxPB32yVq/2A67k3NWqP7ly9f3UEcvafkXZMq3n0/bNSqsvdf/zOJ3Ujt7Sz1Lc55P8mTTXLsonyhvq7GQoo2Qoo3SwZ3l60urUvJ69dmxM0hjt97WN3DLn/63ft+cQsgBqV3LRcyHtW3zvnt/EyPIXcHipjrMfN4IXm+Nw3V2P4tjqV7b4SN1metoP6Bsfz9cPE99qebnVbwj1zLw3Yj1gr+/DfP3rVXzrbl94Ud+57iWqy59Hzf2bc8qEZ0L3Po/rc94OWX0R1/HU59EkyabsPde7ySA9N+xZPhhkkXPWvshpdK3rmLQ9qNPqkKTjdb9tsWXaF9FsmQtskvwfaF3fttd8XVSrwA/uex1GHw3WsO/4/jFcunCo6ZM8fGAeeOzt+M/778OJ46c717ST+otL4L69RWb379bnm73E/7feoLYrm8r9NX21vW6/AwjWfysVP9ltcTF8LOqt1WN1triWp17jlmdly+YxvObVy5Fryq5nSu5bX6sM6xNlXS+xdUVZx9nP9LxneRf4EIDfiXjv1fB7n/cEY8wWAH8Ov0T8eQC+CODTxpgn92pMw0RRpUjzKI/qiqgDgmipzbPh0i52aXdXGW3XNZ1jrPsbJUvHgG/dXQtFka2s+K//67/M4wf3nIdvff0U/OCe83zHAYHRPO309+DY6ldids9hrHnn/Xjfvz6GkfFX4ZynP4gnrL/TuVEO+MZ2+7ZqS9ScK4rOlZEp5XuFxUXfMOsIPdkQ3r2n1WmSxZH9+8NlBF0b5fV6UI4YCJyO5eUgG3lucxDBpyPu7TJ89bpffudrX12Ho0eCwAT9/SSVOt+xszVKMi6KUZD+gpL9vvHiWrM0vC7L107f3Sx0UpGBkLLy7vdchdXrnosHj9ZQrwMPHq1hZfS5zkXgvTe0LtDmVapd+k7KOTdsCL+/Zc7XQTffWA1tlFer/m/vrLP8LO/paV8/XrgxiOzW2WJjY/5GufyW9f1I1LPYLqlMIhvlgL9RLyXANGILtW3Ukcc66l0mjK7KKzZaz7vKkNroCXlUppbowE71Vtznk/yZNNe2z5FndhEzlQghw0Y/tLxI2xZE5gNS2Qlwl/TWcwhp9yTzG/E7zjorsOt29vGT138cI+OvwpqxUXzrwRXs/OpjeKR6AeqP/VPLHBNILimqqVb9VjNpqohVq75vs7zsByzb6DmnZGjplmRRYxsbC3wrmfu5WmW5Wj7peSWA5kY5kPydi59lZ2rt3hPeRNDZ666scaC1ZGqnlW9ssv5u8vid0UcJ4BybkP4ka2Zsu63D8mqxqCuaVKthGxKlk3V7NJuxsXDlOUk6sJOuFvZGb5Q/fCBY0/7Pb5+H449/VmgNe3bP4VDw3trJWaw97U6c8/QH8MQNrWva1Wpyf/FKxV21dHnZz+TWvcPHxvxgAcm4t9vG6XPq+/UP8td7XO1aAX+D+9abqn7WvXWsXWFz9hKEMv+1PLVfJ8/KFZcfDwChXuM7dtZw4cZaKIteB2RI+XZ9rTyJesbSVFDqh5ac/TJOEqbozfLvAni2Meabxph3GmP+oPH3fwB4FoDvGGO2Nf78j4LHdjmAD3qe937P877led52AD8AUPQ4hpIoQ96tCVOa80aNye4tLeeT8m3bt1VbJum6RHXcxNe+pkzuV69Gs4StvUGzedY3WtWq71QsH3wtds0cwZE3noJdM0ewfPC1ocUMwN8wP938EOc8/UGcbn6IJzypdXPILg+8fn3gNMnGt0THyWviDNUdYl271p/M69LZO3aGy/XIAlBcwQspJ6OvDQQ92eWz+rwSYVerBeXRo3qAy2vC5KS/+XTeMw85S+LZCyY2OgJTzgdE93WJeibq9daNoKiSODadGug4R7sbZXLkvq66+tHczkmIzfXze3BC/auYnzsRR954KubnTsSa6ldb9CUQbmsxMuLruS98PtD109OBbnZtoqfdWK/XfR01FrTkwu49wHOfV8MFF7UG3cxsCiptSM9O16SzWgWOHQuyylxtE/TCux63LLbrnqC2fZCFeI09qdsyFwQjTU0h0gbryaJuTWG/b39WB6zZet21idCJ3krb5y3qvpKuLecQOSXp+CxwwkYIGTaK2nTKoudt0rYDk/nA4iKapcGXltDM+okqXS12Swfk3XOPbzNHGsO05yannf4erH/6D/Hjhx7Cjmuvw0Tlq8455shIuoxvXUnnsq3p5/bat7HLlGr/TI6R0uIyHz16tPXexscDP8Rl00V2Mm+bmgrPu2RMC3uBc872P6f7ktrYJdHFFsu8Vc99pWKP9gVkHWCP5aLagfYjKihRxivlWrOup2T93eTxO6OPEsBStIQMB2l0Zzv6NU6HRLWR1EF2QFgn6wB43R5N5uv2Oq9eH3f5CFHrp1Fr2ieMPwunmx/i3Gc+iCef88PIKjcSCKhJyl6XY8bXBP+XMul6HUTWnG1fy0b2AdavD9YztC3fty+coe2yfXZ7T71+vXhva4b3zEwQACl+BBDeDL/q6kdDvsD0dFCiXX/vegx2spg+XzcD8/JIQCgD/TJOEqboMuxZfkl1z/NGkg/rHGPMGIBHALzU87w96vX3Afhpz/N+UV4btLJ0edGt8j95lJ9ylb3o9Lx2eZJQaZJqcC0puSZRas3ytHvDEeNAfJnZqN61+jM7dtbw3neeh10zR3DRVLCScMviErYsrMET1t/Z8nlXud849PFSSldK+a5e7W/GAH702z33BBN/fQ1dfk6XJrdL1riQiDZtqHX5OVeZcnuzWsYd9yzo13SpGxm7fqb0dwiEHRP7Hu1ru4h6NjspiZO1FFTR2L9R1++mjOMeNIatDPtzfv5n8ee/0KovL7txDU584p1O3aj1il3mat26oFVEmsoRNhKEJOW82m154Rqzbl0RVcLLFW2ty4VNTYXvS78nuiWtromzwXZp2TStH6LK08oxeejATn8f7fgdur3L6Gg+Orwb9kDkv2XOL+1GomG5zGQoo3SwDHv+9ELPZyVqDgpEl/MEgvlHVMlUKddpt60CfFu864PPwHuf/XDqOWbU+fWcdsscmvM47UMBaM7lzjsXLXM9PbeStjGC3ZpGKnIB7jmvc74V4U9IKdRKJfgzewnwpjesw+HDhzOV2hQ5yzk1t98S7RfZc9GpM/yFdJcfZs9R40rrdqtEaNbfVKc+Sj+VO6Wti2aQZMMy7IPBoMk5qo0kEP73nnnfpkr1O1nj1WuaL5qpNVtWPv9i3/YcWw5ssW5nNznpV3Vx+SKy1vyDe+LXtLfM+ckEUWvH4geIvbTbYaZlZMQ/j/6sbj+n/as773Kv/8hYxB/R59LrFHI/4ve47LsQ1dYlCi3r1av9xDZ7nURKv+u1diB+DVrfQydE2f2yr2FHMWi6oowUUYa90M3ysmKMeSKA/wTwi57n3aZe/yMAL/c8z8hrjz32WH3ErkFKMDIygpWkuiZtcNXVj2L3/BLmZseaJUOy8szzD2FpyTcMX/7iutzOK+fZtWcJ68+s4jv31nDsmG8A5VrnPfNQi2GuVoGXv9S/7lVXP4oP/X2wGnHO2VV87O8nWq7zs89w1J1TnDQJHDkKfO2rp+DIH56CVSPBb/7YSh1r3vkAznn6Azjn7KCnWqUC/NbLxkLXTyKpz4uwenUj82HJ/8zoaHghA/Dv1dvndlzOObuKe75Tw/ozg/GOjAAve8kYdu1ZwpbN4e9NvgfX6/r+xAGLehYAhL5PeU3OMTIC/NuX14WeqbnZMXzkY0tNuehzA3A+A5e+vPW5e8nLD+Nbd9dw0iRw9BGkejbzeo6TiJJvXti/UVtmtkxJd+iWHo9idHQ01eJBJ3Y37p5Wrx7D4Te49eXTzn3A2XcKCPSTq3+3f17gzDOqobKcaZDn/KqrH8Xff3QpdlJ30iTwUIosLjnv3OwYPvyRJdTr/vh//hmj2D2/hDPP8HWdrZ/FPti/d61T436Xts6w/y/6zmXzkq7h0nu2DpFjzjzD/67y0F2d/j7a0ddF6fhOcflZxE3RerYfoYzS0Y6cirC7/UwWmbp8417o7KuufhQf+ZhvM1/2kvBY7DnepS/35zV63iLoeZaefwl3//spOBwzx0ziuNXA5tmxlnmvPRfUi9OVCrBqFRLnd1G45qPjJ/j+kz3fku9TNq/Fnun5mfhdMh+Uz7x0y3G4/PdXR645xM2h5JkRP0zOrT+7/swq9n3bF5J8x2nsrvaFZF6rnw8Z1649Sx3bcPFdgWCdw7+fYvV5P/kjtHXRDJJs0trdLGgbPUiyKjOd+gdlwV6/jvNXRJ8K2qZqHZu0Vh01n3et0wLAt75+Co68sX1/QxB7KmuL4udom5uFkyaBX/vVsZZ1GklcEltdqwWb9fqR0etKsj6j7bm8LmOrVIC7/rXVjun7EX8hDu0n/tbLjkOtVuvIV43yO7Oeo6y/kU6hTu4+eck4zj5zsxzZNsuHNdI+iV5Fz6SJHo6LSOo0+jgpe83OahZ0FJhkQgs6mlzGN74miMSLK3OXFIVnG2zJDNQZklFIVjfgR/jLeVybSXEZh9rhckXYSXa+yPXYsSCacdUonBkbUZkcdoaiHhOA0Hevvwe7QoCdwW7fG4CWjHZB7ltnZboi8HSmhTwDnT6feUXXZ8mUaeeart/Nwl7f4bznO7W+iybsV5hZHujLX3zhnc1IXpcOd1XlkAnk+Hi6cqQ2Eo2dlFEuEdlR9sVGsp8Af8z273hiYsI5yXVldQPponzt6hDLK+Frx1bQiMqUitErUfo3T93FKOFo5JnYspmZ5UnwOUqGMkoHM8vzJ4tMi8gijyPOZsX5B1JtRuzs1FTwd1xVnKQ5JhCf5Q2kq2jmCsyOypi3zzU5CZxySnAf1aqfCbe42OqbRc0Z7Uouruw38Y/kvdWrgU0vDjLw6vWgmphkd8dVw2m+tte9hlCt+qVx447PSlRWYbvzrahMs6L1eT9lotHWRTNIsmFm+WDQT/5BHElzcJedcfkJOgN6pdZqt7X9b67DLqhKq1blE318Gn9DmJz0W624fBhdEdC2C67KrVvmotfF7TUMF7KGrNc9ZO1b1mNqtaDSjmCvNWv/bWxVq5+XZOdC6yn3hj+f5jlOu56b9Tg9HpdvNChQJ3efIjLLu/5UGmOeaoxZrf4d+6fb44ngQQArAB5vvf54AD8sfjiDSd79x2USmdTXytWrJanXc9qx2n1FgdZeqbJJIT3PAN8QSq+P/fvDfawv2+r3pn3RTHB/R4/6G6ifXKiGetnajJ90JV5xwxJuWVzCsZW6X1L4U0tYc/KVzUh9jfQ3u+3m1vOOjIR7vdRq/n3deZfvBEhPmrnN/thcPbiXl32HoynHetC/BQj64mjqdd+QSg8+PeblFX9Mrj7yUf3lpX+OjB2N84mB3rW7tXe69AOU97Zvq2JE9e9xPVOL9wb31ELddyZd/XcF3ftYiOrTkvb5TNv3Le58O3YGDqHu79fpNTW2POX/H/v7CfZqI13j8j98M7Z+NqwvX3HDEsZPurK5UWv3hhRck6jHHvOdfXujfPXqQA/FceBAuBeYjejjAwd8O6HHNj0d9C4F/L/lepKhJWOWfuVia17y8sNNG6R7q7v0zoUbfbskPcZ27PTPccFFNWf/UdGlQFj3adupe17ZvbmA1p7dMo4LLgo+J/p3//7w+bL0iMq7T2bePk+ZEZ09aJHhhBASRTs9CNuxC1GfsW2WPk77B1vmgoVqwF9MXjrml1JdWvL/PzUVzGOA8JxVcM0xX3GDP8cUHnvM/+zYmO+zuHIyxsbCc0GNlADVuOZ90kNTPlNtzEuPHvHnW7ff4s9rpc/ozKbWIEbxhQBfdjLH3Dwb9AaV18WnGhsLl2CVz8zNjjUX2HULsoW9rc9J1PqFngu5gh1cx9trDknoZ8TVzz5N6fioHugzM8HaQS/7cvZbn++o3/cw+ZCEdEKW30pRv6s8exTnPeaosbnmwaJPr7vW/1v7Cfv2oTk/tzfKJyfDtnnX7qBX967dwec02l+I8jfGT7oy9Jktc34CgYyxYm177dvnl4iX3umAey1T1k/2zPsBdmNjgR8k/or4DLovuH2OlRX/vuTel5fDa+abZ/1/b9gQHsf2bVXcepO/Jr99W7CuXqm41ybkewHQXBPRazHyXYq/J2vaO3bW8MzzD+W2huw6zvW82uNx+UYuaAdJL+l6ZnmjT/mzPc/7cuPfUResoMA+5TbGmH8B8DXP87aq1/YBuN7zvDfKa8MaaZ9EmsiOvCPskvqapvms7iHiykYDggh8Z0TXQmtklPSC1b3NgMAYSNQYABz88TyOPvR2HDx6H0458XS8/d1vxv/9C2uVwLo/V4a25uEDjXM+ch8mx0/HxhdeiWuv8VdJdPa03T9bT8wli9yO+HONC/CPkwg6+bxkh8u1ovr/7t/vfw/r1yOU2W07XXKOdp4fOwJwbCycYSCbNro/nshCrnfN+0exa8+SMysdiMiOXmjNqMxCVNRg0m8pKjszST5J/YOFuHvJM6KfUXnFMmyZ5QDw+tddges/+nc4+MgyJlaPYs3jLsWpT3yPs9ejCx0FLRnf0rdLIxvdGzbEZ27pqGP783aksaArYQBosUs28vvVEdVjq1qP1fp96ozWcds2DghXxdBjjbLRdiaSnd3kyvRy3df0tK/rbJubRecm6a6sv49eZxX0om9n2XV2GXqZll1GZYAySgczy/On289e1j6T2pY6s8D2xmdA6+wl3bNTfBK7D6feZLf9kIcPzOPA/W9CpXYAR4/Vsfb4x2Hi5Ldj7eRsy7jFf4iqzOM6v3D7LeH+onLfuoKMnqfZ6GpvOjPb5VeJbJIqlLnsuB7jpS8PyrLa/cxtW6M/F+Ub2ccACLL71JpES3Z4gn3LenzU54U0/g31eTQTExN45rMPZX72hoFBem6YWd5dsvxW2v1d9bJiRZ66IKkiTdI9ugK5otp0Ntekj96HE8dPx/hJVzb9BWmxElWNr1IBHj44j8cOvR0PHLoPp6w7HWMT/uf1mgAQzlaPq7in1+mBoGKrrPXrdevRkda1BpcPJtezzyHniVoDTvudRq0v2z6A5vZbqi2Va+37z3rdLONz+ax2hYK0v6N+tYPDrpOLYCAyywE8D8B/qH9vjPgj7/WKqwG8yhjzO8aYc4wxfw7giQD+qodjGijyiLBzRURn3SjXY5HoMzsbWAwuEERA7ZlHKJpaZ7pJNPXysr+pIJFkemIuRmGkYTgPHZjH8sHXYtfMERx54yn48K8fwduvvBwnHOevVEhkvn1/Ekl2ztnue147OYun/vydOOdnHsBpZ96J//Bmm2Pev98/ZmwMzcg1fV7JfHZtlFcqrdmRC3uD4/S9SlQdEJ1ZsGUuKMG+shLeiNEOV7XqHyuReJLF74pqB1oj0CTyX0caLi+HHbOZTf7CS7WKpoxEFlNTwHOfV8OH/n4JU1O+nOIiL0Wmcozc+9JSENEn40uKlouKjo/6LdkVEyQ7M+n3Effb1NGTEhkZ9xvut4h+MrxcP78H//SJXdj1mxM48sZTMb95ArXDu/E/t17vZ+zMJJ9D67ajRxt/H2k9TjK79+1rjUS2zzc6Gq7qIZ+P+4xEDeuo7aVjwe+2Wg2inGc2tWYhTZ0RjqKeng7rOtcGv60HXJlogD+GhQWEdLboqvE1/jGViju7SXTThg1ohlpOndF6DdF1m2fbz2yK0l0y1quufjTT+Tr1eTrNlMg7U76dcZWNbsmEEEKykCZXwV6UdtqSul81a+PFNadt3LAhOJf2IyqVoK2UsH1bFaMjQa9wmfONjfmL3ssHX4uFzXX86IpT8NnfmsTxoz+JHPue+ei5ua50A/g2W/sPO3bWsHk2mHtIBRrxQ/btC89Z9WejbH+tFtyLzAf1vFDP4/X8UeayOgvdxe75peY8dW6zP8e+9ab4udDISPL6hRwj/oksxsuahPhuOpBQKvC45praL5G5og6QkMo9Up3HRldskwpwUcfG0c9+RN4kVcfrZZY+If1Alt9Ku7+rhQVf3/Vi/pCnLoibB9nVTez1VKmiaq9RrKy02uGHrXXuXTNHsHzwtXj4gG9w6nV3xRehXgcm1s3i5Cffibf8yQO4+ztfw6tfM9u8tqwZaDsWVQ0Q8O3VzKbwGr9ce//+8Jp3rebeKJf1E7GRcr2xMT/pzvbBxM8ZH28dj12d9kUzQXa4touuijP6+7OvuXo1Qmv+mvFxNCvl2JX9bNKu57rWv5v3uKn1OKlQkHadmHaQ9BL2LFcYY7YBeD2AJwD4BoA/0D3MgeGNtE+iqOiZTqKLXJF0cVFTdgSUvfltR7W5otclak6fX7IOf3Tvefjoi1t7sfyvL67BHf/6tcSxb3x+DUtLwTh0pFZUVF3oWEe2vOv+JeJPZ99rud34uez9eSWaX0fOu9CZF3amtkYHFNjPSNI1AD8CT0fm6evaEXs680Jn5tuIjPRzoyMVs0T3pSWq315eFJ2V145eKUPmYL8ybJnlUT3LRQfbUbk6k1rr0m9/O1yhxBXN60JHYsvkT6psyDk1ugKGPsfsJen7a0k7DvtYyYKq14NF9KhSoM1zr2rNOLf7eDo/Z0V22591ofV61s92iu5JetNnM2YhpNRFThvfYaZEt7Ig4sZV9kjqXmaGCGWXURmgjNLBzPL86fazF6WDQhWh7m2tDlOpAKtG3TZC0BXMxLeImwuNrQLG14TneDp7W1dcO+spP+ucs+r+ofb8d25zfJaXHrf2U6IybAV7Pqqv4coWt9/TZer1PM7Oug71DHXYux07gx6jL3/pGF7z6uXkm0W6XqN75gN/UM/X7bml3ijX1cR0xTs51q5m4KpyENV33EXaY12/qUxZdQM8p6Oti2aQZMPM8s6w9UCRekHb5u9+F9j04v7WRVE23sbW0XHzepuxMeDB752H654f7zOMjIQri8adT7dmS7POqyv/ybV0FT7xk6LWRWxuv8W9JiK+jr32YWfbS+U9Tdwai10BVt87kLzeElXVFfDXM+oqICCvfZXm63ujM+GHhUHXyWVgUDLL+wbP83Z6njfled5qz/OeYW+Uk97TSXRRmmxgjR0BJRHjkqUHBIYgqs9svY5Q44EdO4PyvA8dvg/PeVK4UfhznrQKd3/nvmaUl/SU1VFkEtF27Fi4t1pSpNbYWHCsRKbH9cKW+5csSZ19r/uk6Y1y6VEXhWzIyLXsrAab9euDfi6uDHZB30fUM1KphPv56gxK+ZygnSsdsTc56S+e1Gr+Rlmi0a8D69aFx6DH5+pj10mkvZxP99vLE/kOJKOhjBkBzBwkafEW3TrYW7yvZcO7UvF/U5KlVasFv1vRF4uL/m84zUZ5tepvcm+ZCyY0tVqwMOqKY5zZ5E9sdfS2lPgctbLVRc9KlpTohqgJobwuf8vvR/fNslk65kdja50vn7Oz8u3MdlfWfpw9svWmvqaMr1s9H+Xac7NjyQcrsugi17H6npPuw2X3ulXlo5+jvFn5hBDSS6J0UFQ/R6mUIhVkdOaUneW73NirvfWmwG5PTbVmlQP+OZeOBXO4ffvC/su+fWjOQS/bWsOBo25/6eDR+wAEFcCEet29Ua7nYvJ/yazSldkky+qyrbWmzRcf4rxzw3LT1GoI+Q32tYFwBr308dTynJpqHbvL3ukeo1dcfnzz9VR+R0woivRjHxlBy3xdnh9dbU3WCHQ1MZedtv1KOYfuEZ+l77iuPBZ37FVXP+rsb57Gj+CcjhBi64Ei9YJca3ER+PIX1/X9/EF6jttVVW1sHa3t6chIUP3UXiOoVHwb/p8PRPgMj9zXnMPX6/66xu23VJvtRgTpda6zr3fsDCroSLUX7XfocZ11Vvh8dhU+2chOs1EuPotrvb9eDzaFJWt7y1w4MM3uoy7o89nV+fRajPgU4iPpNRDtB2o2zwavSbXaZu/02bGmrQeCtaIsayZRv8GoSqu04ayo0490XdsbYx4wxtyf9k+3x0P6m04WOl0Ts6gSM3HlSCQKTybZugzalrmg5J1M6m3nTjhx/HTc8f1wKNgd3z+GE8dPbxpIe9NFNqhlU6Ne9/+vFxWAcJaijEs+qx2N8fHwBoNt0MTwuybNrjLtrg1qIHAcvvD5KlaNhh0AjTbkUqZdFofs0vmAuyy43siXDXkpizdSDcbzyQXfObvu2iDqTRwV+Q6BwKlcvTpcXtk1wdfPj8hHBxM0FyTqwVh1pKQu7d8OeW4EuH4L8h0A5XV8+nkjhxSLmXLr4CeefHqL7q3XWzfCbR09NeWeSLmQiZm90b1vnx+gY5dqr1R8PbhjZ62ph8bGgoAdee5F969a5WeNia7VC6y6rYKwenXrhrYgOnBkJFhEFd2r70UmyJdtrUVOKCXISEqo6mvqyTAQtkdat2mZSemzqMlYHpM0ubZeDE9D1rKAskkg96/vOek+itwE7rcNZ05OCSFlIs6/1vMavRmr53WCzHckwE5v/koJzm9/O7zxu2XOz3DSAeCCbV/0xvnJa6PnrJOT6Uqg6j7et9/iz8G+8PkggHtxEc1NbL2JD/gZ4TJ/3L0HzXKl0spFo22l+BhShUfLW9/3ZVv9wHSpvCaIf2ITZ1eS7HXS+9p3sDcGBF2Wvfm5Ta3vb98WfNeusvu2LdfPXJryq3Hl5kVGf//RpUzJChrO6QgZbvQmpN64LUov9LsOsm1V2vtx6WixpysrQXCeLvc9PR34Iiee4PYZTll3OoBw8pQrw3p0FM1EMB00Zm/265Ys69ejucaqbaOs79q2XNYxkhDfQQeTCXIfOsgN8NczmpvTm+P9vi1zwbr0lrnAX5I1AR2wIT6SHUB33bWBHCTrXGRw9Gg4se6Ky49v2nq9VpRmzURv3Kd5jvr999MJ9nfOwIH+o4iVrvdl/ENIV3AZfTtTVm9WuoyavKajs+1objFMq1YFUduuqLw1J1+JV9ywhFsWl3BspY5bFpfwqk8sYfykKwH4E2M7SmzPfDjTWaLk7EUFvUEs45J7m78+cCAOHAgrbdugieF3ZVHbCztzm4Pj9fgkus7e1JEN7dA5N8GZIS9BATObwpHx9rGSda8z8fX3HpXJLbKxMyy0gy5ReNoJsXu7aSNoy0ciJu1eMyJnXbZHb5j0irhKDPZznRd5bGr020YO6R2X/+GbsfWzYR38ihuWMDJ+pTObWusr2VDWx+3bB+fCrWBHDUf1m1pc9HWmLCZLVlmt5tsAVwCTLJoD4b5ctr5bWPDtw603VUPZWY895r/+hc/7v28JNgKC88xeguYi6nnnAqiHA4tkjJIZZ2NHh8umt2yi2xlUIpdjx1r1oX1vUQvKeU7SXNlRGlt/ZdFFOtNN69ysk1LSCienhJA86dRXjfOvxbbauLKA9bn0Jro+r54z6bnLwkKwMaw36MWnmZ4OfJbJSWBsonXO+ooblvBLv3oljh4JquPYGVTVajAPjAqW1hndMufS/pI9R9X3ZLcBk83t5eWgPU29HlThEfQC+8ymcGCAnr/Z1Xbku9+9J5hT28RVhXEFoTufJ2vBPyoL0J6XuujVvEg/m+34L/o51T4pIWR40JuQosPKHCAct37cCx0melgC6fT9ZM0kFnsKuG25tlPjJ7l9huMnrwxVstsz37oebK9xzMz4dmRpyV9ncSVKjY8H6w+7dofXVg4cCNaztY+jkwhcVCr+cWJ/tm+rYqQatOOT9W8Zo17ftvcH0la4lU1s7S/JvSwtAceWoyu/2OdLswYiAQDLy2hZa3A9H657i2OY12Xt73yYAwf6FfYsz8iw9nBLol/7Mti9vyRzzu73ZfdJcfUJ1xu2cb3IdK+Y+743j3u++XYcfOQ+nH3G6bj8D9+M911zSXOjYXo62EAQRMnuvQF4ylPCmY2Tk35kmu4PArRmgW+ZC/e0A9y9UXSkX1JvG33v0udcj9ceT/Pfe8N9vfVijvRsE4cqrvcagJa+NXrxwNXvSO5NvnfdD1h628gz8JUvrQs943YUpMgv7rt39ZrRcot67pxyVvfSCa5zadnbC0zdxO5D1K96pV8Ztp7lAHD9/B5c+fq34YGD9+GkidOx5uQrcdl/n23pAzU97Zf+jOo1amdu7ZkPqn8I1aofEWxvJNt9pUSPu86tsRdHRf/ZfTnlNUD1Wx/xF6X1dUXn6dfFBtl94uQYu0eq9B/bv7+1d6ktUwkgEpnqf9vHRulDezxyb+32CY97f+Pza1haih5Llh7jkePZG36++q2v58TEBN7xrkOlGIuQ5JMVDe1aMpRROtizPH/SyLQbur7dc8u5pqZ8uyt+O4Dm6/Y81dXrPM6mCQ8fmMfRh96Og0d9f+lP/+zNuGR2c0vbGkH8jg0bfD9C90c/79zWeaH2PapV/3OStSbnmDojvr/p5GQw/9Q9Q3W/UpGDno8DCPVxtX0veT2qD3rUcxPV99W1tmD7YM35895i7Vde/oTI95yzq3j/X2X/fNJzGjV/LZP/kURetq7f7jsNg+QHsGd5+5TJh2/XP+jUZ+gEbcvs68eNy7VuGuVr2GvKgG+L7/vePFaOvh3/+cB9OPGE07H+aVfiRb8xG7KtUvVFvybj0WPQ70v/cO1DuNZKZH2lUvGT2HQymPY9xDcRXOsWYo9lXQUI+wsuWWXZH9Byt9eU7HX8Tp8jeY5dazpy3qjnJq/fYyc2qx/sXXM9ZG9xuqsf5JIn7FlOSE5ERc7ZmbKzl8T3+9K9UiUi31aAdhlwewwy8V9cBB75ySyesP5OnPMzD+COf/0aLpndHMo+d2XoyfW+/MV1uO7acD/Zo0cD4yYR77aBlTGOWL/+Wq01Ql7fl16cSJLnoUPBa0tLQTb1rt0IZe9r+QsyBh1JqjOZo7Ir5B6E6enw+HVmvZxfkO9dZ1qurLgzM3WZdU0zmyJmeTEqAyAu+91FnplyrtL70pddR/EWASPuSNFcMrsZd3/na/jxQz/Gt7/7Ndz51bmWiNwtc/5kKCo6dvu2aihSWd63YxHr9XB1EcHulXXgAJptNXRZUzvyOer3L7pIT+jkb8nKWjrWet2VlVZbofunAu5MIW1PVlaABx4IL3h/4fNBBPuymkxLNHlo8ropXFre1Q/T1e5CxgN01ifc9f789f6Cwvozq7H6qVP95Xq+iuzrmVfmQ9kyuYc5qp0Qki+ukrBZidNJWe2InGvx3rDfrktzuuyKlAqN601t+ytrJxtz1qc/gMefcSf+635/IqbLnWok21z8CFmM3r8/XNlN5oj2Z3XJUTmHnotKSViNXvCu14MMdfFv5q9HsyKYziaXvqnnnevbe3vhXTLm7KphdmlzG1ffV9fagvbNgLB/lTYLsGw2XJ6L79zb3nhcrQk0rnGWzf8oimG9bzL49JsPH6fju12R0WUD7CoqSWMV7DkwEKyVjo4EyTS6nLfm4EFgfGIWkz91J3784x/jnu9/DTd+Zq45Hiln7lrPlSp0ce0ptc6LaoEn1e/OOqs1w3v++sD3sCvU1OtBJr7OvNbrKoDvO+hx2tn7QOBviPySnmP7XmRtWHy2LL5nkk+g9wjs50CPQ1ftS/t7THvtdmxW1s/2qrJD0bqLfkD+dD2z3BgTkRPlxvO8uW6NJQ+GNdI+ibJGNNoRU0B8qbI02NnLruiuxMjxhqG7865wJHto3HuDjABXZoDI3M7U04ZPZztLtrdE9EvmI9Bapk9nI65bFzgRIrukCElbRhod3efKigT8XrtTZ7TecxKhc1gZ7c6IxL3R2RZ25vrExASe+exDoehCO2sjTVZ4p+Sd9W3LISr7vReUVa8MKsOYWZ6VtFGbLh0oOiUuW9xGoqIl8lpncMvvv1mq0tKZUZU2ovSzVEzRWd4SQQ74tiTOZrnuSetR2wZKlZCxMQCNRWLJrJo6I5zRrtHnqdfDujBLxHPSsXblmdWrgZs+mz57qcgI35DPECG3JPLIfOhFJHW/QbuWDGWUDmaW50+STPPMEGvHRkR9Jo3t05/Vc8Utc9G2PW4+p7O/ouy/lFuVdjIy35ye9v0VXVlMssnvucc/Tjai4/wl7T9o7Io94t/o6wn6nu1s5qjj7O8hD52lM91dldySnr2k99M+b7lmju0Ftmwew2tevdz2eZLO3072XlnINbN8b//cdxoGyQ9gZvlgUDY5p6lc0i52xZika8RVmJH2blG2R9vdSgVYNYpQJVdZl5AEAvENdGU6WRvVGe5jq1rXZe25fRItlflG/UQwja5i41r7F+zqqXIvUdUK9bpDO0R9V/Icx/kccRUJOrm2Pn+7NivrZ3tR2aEXumIQ/YA4BiWz/JSMfwhpod2IIFdWdV7RNrov2o6dtdAY46IK169HM/v4vHN9Q37eueF7tDMCXJkB9nmlp8rUGUG0nhjgm2+s4pMLQdS8ZA6vWuVn/YkjUKkE7wH+30ePohktKL3cJTtwaSnIgNQkRdrL/et7lozxarW1F0ra71/6zkgwgs4ml3uUyDwd9ae/N8lSWL++9fz6e3VlbUT1zbXvtRNcvZs6uYYd9Sb3YGfmEzJsuH5PrkoMcsyOnbVmBPGGDeGsJ9ncBoIo7yhER01OBlHRo6O+btaTQPl9uvpHyZjFTunAl82zwTXkepIhJZ+XCimSGSR9s6L6Z+rIdd1rVEeM697nuqKL7q8umVW679iFG8PfgeiolZVgIV73E7OjuS/bGl8JJUrP2ZVnzjyj2pLRHudPFBnhq7ML271mXpkP/ZYFQgghackzQ0xnV2fpG+rS8XF6V3wTyaJa2BvOGt8zH+7Zrcch/kK1Clz68jHcfktQScc115mcDCrySN9NwPdhpLcnEPgreu4n2eS33lTFbTcH96Kzx8WnmZ4O5uAy7wX8v7fMBVXIdAa4fGdyPvGN9Aa49BMX9L/1RoD+HnbsrOGZ5x/qeH6Xtj952uo2tg+b5nlrbqhvCm9Ab7w42peKQp7JKy4/PvKYTubGrme+X/wPue+rrn40l/P1y30TQvIjTeUSTVp9u2NnLdSWMs01JLBeEF9g82ywHqur5Wl0f/F6PeidvWEDgLofzCeZzrVaEECn1yxuu9nPcNeV/uS84+NoWWPXa9XVqp9IZWfHy/XE7wD8+5ZryD3OXoLmGohkxeusdEFX6ZPKO5KNftnWGi64qIY77wqOf+wxt7zSkvQ8xPkccRUJNFHPlFxby8M+f9Z1ftdn04xnWCqX0g/IH/Ysz8iwRton0e3omXYjgnSEDZC975crCltHYcnCtI5sT+qppe9Ff0b/W2dER43VlnlaGbkyh+Oi7Oxeva4ABMB3MmzZzV8fZBHozAE7m1BnJ7gi7bL01NHojAhxcuwIvrRRmZ32MbR73kSNOSnyPy5qLO012r2HoilbBO+gw8zyMK7fgm1TdNStzm5y/X7sCN6kDPOojCkg6JOpx6Szil1VLlzX173VdYAV0Ko/7UjuKN0VlxWehL4XV0Q7EHwvdqZYXDS3nKNdvQgg1LM8TR/RXkT49jqqmDo7GcooGcooHcwsz58inz177pXG747S8XFzh6jspqis8ahx2BXN0mSz2eNtmZc3xhyV2R5ly+3rpplDRx0f5ze4+pnb9xVVVSzuO3G9l4f9dlUPCPV/3Rv/vLm+yzQV9eKI+02Vac5ZJHLfnWYODjKD5Acws3wwKLOc01QO6WStOOma9npGlA1xnc+2vbLGYb8elcEt49C9x11rKFK9Lqq3uGs9XJIdXOvfaW2oXhN3VcwZGwtnq09Pu/0hfa+dVK0L9Szf25nP0WnFm7TH5DWeoiizrhgUBiWznJBI0kYStRsRpCNsskYhAeHIcYn40tH3EvmmM+OmpoKMNlcGmu594vq8nnhLnxg7a1GPU8auz5VGltpZsTPotswF2eSLi609tV245CeZfxKRJyX2XPcs8pZIO01cxrbdJ0YjmeaAf87R0VZnIGtUZhxxn7V73qTpweN6LuOeY339pCjOdu6BkGFAfneVxk9saSnQLfr3p39bU1OI7LEtaNsh55Ko3enp1t6bS0uBjdDZ2kC4eodkgev+4q7fsb7+hRv96GXJzAaC7HGRgdbDlUoQ1R2lf0R3yTjidI+t28S+7Zn3x3zdtb5stDxtWyeZ8DpDXRB9Kxlotm1tJ/N6y+axlsoiiZNLtd2UV3WROPKKKi5irIQQMugk6tJ6eF6U9LkoHb97j2/bdu9pvYQ9b9szD/zSr0S3Y4nKBNLnk/HqbGzX+IHA9l62NZy1rO1xVIaTbctlHmVXcXPNoW07H3V8lJwA358571w/IFxvlO/a7ftod97lf2716la/zzUOkYtrHpiH/dZzP/se7bl+1Fw16r1KJf/5YdnnnN3yheS+52bHcj0vISQbgzLfca0d26TVt6614rhrLuxFqEqpfQ29ZrFrN5oVSWVtfXyN/xlZB6nVgBfNBL6FzOOjMrjF7une40tLwLHl8OdXVgIZAeEqo3oNQq+H33pTsP49Zqlr8UVs2enKs3KdkWqwzrJ9WziLfWZTsM4zMhJslJ93but32U5FIiD7mnJasla8afeYvMZDSBaK6Fm+DcAez/MeaPw7Fs/zdnZ1QB0yrJH2SaSN7IjLsk4VTd+l/p9R49ARV64MwLiIMnk/1Ns6JutP44ps0/3XxsaAr3xpnTPC34UtuzSydGUr6uh33Tu3Xo/P7JMIuZBMInru2f1RXK9p7D7lcd9H2ujIUJR/47U3vWFd5uglO9NyeSXc88aVGaIz63XveMkiTYvIxe69nhfd/D0K7USMFTGuQYWZ5T5xmUwal+6J07WSOTU5CRw94tY1oiM0orfSVK4A/PPLhFFni0f1EwP8CWqlEhxr9w+rVBAbFd68h73AsWO+TZBo7DTVQmy7mRSdnDZD3Pl97G3VvUm9QoHsz1I3e8l1G/192BUH4mAkdTKUUTKUUTqYWZ4/eT97aStORb1nZ0JFccFFgeMglb70nGLDBkTaf0H3Fm3JSF4AtswFvadtn8W+B9uGuPwanU0uFcxcc06XXOQcWStw6bFHZXzL/FaIuzfAl7d+bvTcT/df177VyEgQCJi1wlgc3Zj7Zc0+s8ffTX3e7Tlft/22YbN1Wb6vQZINM8vLS5bfeJnl3E6lmpbPZ1wr1nNnXYXUdby9BrFlLry2Pj3tl3K3fYU0awJx/cddGe72uqpr3WdyEjh0yP+3ngNH9XJ3jU3uMy6LXf7vXHtahZa5OADn96y/L6B1jUTLa8vmMezavZSr3ezUFg/a+m2ZdcWgMCiZ5X8B4Az177g/OwoYD2mDvKLuXFnWaaN/oiLF8xibzvqNiriSUmyrV/t/VyrxGcQSnb+wEJSUtbP+dFScvg9XPxXJzrazFtPI0JZdmuw6GYOUmtcRbBIhB/jjicrsk6g8yRgAAplE9dzT/VHsMsWue7T7lNvYPbjTVBGIes312bjnz860lGhL3RvYPt6VAW9nnKZBvhPdMzhPiuzHm4Wyjov0D6K7dDa3q6qFS/fE6VrJlj5woLUahkRFSzl0/ZvX9lKile3ekVrf6sjqWi2IMj/vXISytSXS+tKXj2FuMzCq+mrpDKtVq8JR4bG/rTpw1lmB7pGAHz0OOyNM31uUHtf3GJU55tLF9nFRUdR21n8e5Fm1pGj0968rDhBCCElP2opTruyksTHfJ0hj63SfTkFX61pcDPffFlav9q8jG9quyjRiRz/090u4bGu4/7ksUNs+ku5BCgQVdIT56wN7qyuYyZxz1260VFITuTTvby+cJGVLxc0Ttm/z+57efkt0v86ZmcBH0/dkn39xEaFsMvms+EdJVXrasbtZ535p1lB09l2a9ZYi52HdvlY/+W39AOfopFu0ux5cht941rHHZQnHVQ6JI279Imp8uiJMkt21e5ov7A3bz337whve4pvIfdgVVvX3pjPBb7+lGjrvsWOBfyXH6TUNILx2Lxw4EPhPWl9dd228fwCE/Z+o9Qf7//bak+65DrT2are/Z/19ufSslteuPUu56GH9XHSq22kbSBnp+ma553lVz/O+rP4d92ck6XykN+SlwOxNYiB6spj0WTF8MjZXGW6buLJ29oTWPv68c/0Ir2ONCK9Vq6Ijn0Ya0V8y6dcL8LqEq7wfZdj05vHsJX4UnPRNecnLD8fKUI89zaJ9lGx02ZmoQAdt8HXpPVfp9sXFeMdUn0vK/gLhyDwdYLCw4MtayuTY2KX9ojbAXWXsoxaM9Hckm1y797QuIsjndfmguOfdvt7m2SBzP6vzn1c53ijKMLlwUdZxkf5BfjvPvzh4zS4NKsfddnO1qXtc5UjtcqV2hRKXTR0dAeY2t5Yau/FzwcRNAnDE7sX93qXs2J75YMyzlzSytxrjlIVvPanTE0H5v11azDVRWlx067mWRf+6n1km9kLL0oXdDsT+nSdNDuNwbTR0StLEuEiyLsTI9y2LB4OqTwel/CIhpJzE6f2ouaf+nGvh29UiDAiqeL1oJpjXaB0u55IF4bExv1+yXEc27gG0LOIK9oK2sLgY6FM782rDBjRbkkhLLp25rX2KpECt7duqzcXk8fHWcaQhyi+w7UHUd7d9WxVf+Hw1VJpdfz6qxVrcOTVxrceSyOpnZFnfSXtskfOwbl+rKL9tWHyRTp5tUi7K9sy2u1ad9TfejfvOOvakgK+kdWEXcWvFUa0ds+hf7TfIZySJQK+Vin9Sr4f9EB38J+sZEsSl27sA4Y35ej1c+l18ES2PO+/yfZING4J1gMlJdyu4JP8ACCeJpbVN27f5LfWOHvHXf667tho6jxC1+Z7UZkYfr9vKdYJ+DrPaYlueXL8lZaTrZdgHjWEtS5dUgqvT8qRZsD+bVKZbE1eezHWP+lpoLPS7Smjr0iG6fJ2UYF9aCq4ztsoqcbNXbcbujZaxff/N8zXuWS9ObJlLLvUu49aOT1zZnqhnIKrUOBAuaZumjFtUydyoEvbynUSVQHZdN67sTVyZ9omJCbzjXYfC39cCQt8FEFHKP2NZI00/le7NG5awKRaWYQ+TutxnQ//pVhP2b9XeKJ+ebgQObQrrJV1KzC6/HoVdllxKmwL+ZO/gQX+yWKn4m/B26VTXNfW4dRl1267I2HSvstlL3PoXCGycrTvjdLiW8/gaP9rbVS49a6nQrPRzW4ii7Ei/6exe2Nd+k1EvoIzSwTLs+VP0s9diI11zGKu05tQZgf/gahEmZJ3PxbUk2zPv2/f16/3S4rLZvXq171+47DoQno/qcdllU/U19Xx2etqf/8kcc2YmfM9Scj4N9nzVlrOcN6qEuchB/KlmSdRGifpdu5eSW6wl+ANZ1jTyIMlvann+Yo6Ngvo8GpHNsMz1B6XkdVYGsQx72Z7Zbs8BAV/Oz3z2odzvO+vY446PsjOdfF95tPfQrWJcaypiX6VMut3+S9vGSgVYNdq6Liz3pa+lkbLmeg15ZCQcvOfyKdL4B/bx7TyL9roTgMi1oZbrWb4NgBbfMU1rlCzrFu2s7dv3Whb9kTeDZL/KyqCUYW/BGDNtjNlojPlV+08vxkOSySuyNi6LNy2uKG1XKZS4CDpXjIjrHl1RWq4S2jq7Xd+bnFPGV61Gl4R1ZWe7yn3L+c85uxq6Zx3FLxFedhagjY7SkxLhUd+JLR8Zj0QbSqajRo8pzTPkjJSs+xGCrsi1NJnfacreaLnFYWe9yyaRjojU8rtsa60lYzNr9GhekXZliwAmpOzo0uZRelm3Wmh+blPruewqGddd69ZLujSYbFK7ysLrMu12WXIdUf3ww4G9q1TCi9a2XqlWWyc72kYs7G3NCtGVR2Qirc8RZePkPJOTyTpcvy4l5iPLpRe0vZNWnybp+6L0cqcR3/1K1kwKQggpEte8IqodlMy39u8P5qG6KorOiMoynxOi9KFuEXXdtdVQiW+d/WVX05qeDjb37XmSZLmLXyM+xY6dtVDgoa7QJnJIUwkmyV9zyVnQC+cuOdTrgU8k59w9v5RoT9LM//Q4stqlduy2zs7Tn5WSt3oO28vqOIPOsPgiw3Kfw0DZvsui9FM37jvr2OOOj7Iz9riz2Iu8WzvOX996fbGvQNCOUh+j1/srlfiMZlfLmUolfKysQ2h7H+VTaLucJs80as3cbqFno8uuz1/fWmEoaqNc7LT2bZLKskeR5di21/ZRPv1BiItCM8uNMU8F8DEATwPg2sGvl70U+7BG2idFGaWN7Cgyish1rW5FHdqR4LJ5YUevJ2Vny3Fx2fPVql+u1pa5KxJfZw9qGcgmzIYNfoZAvd4awWePCwjfk5xbMu2npoJMB8lsdGX/6bHa70dlfY+MBGVw4r63dr/fNJ+z5Z3mM64oyiIiX130YwQfo/KKhZnl8UhktehgINADWv/ZFSQANLOydNa1xs6cBuKjl20dqsehN5KlDykQjlLW44wb246dNcxfH9gIvdmuJ20uvWZnpaeJKE6yDePj0Znlees42y7rZynttZL0fVn1crvjKpvOLqN8yyajMkIZpYOZ5fnTrWcvbVaxy47Ka5J1pbOqOplHxNlo17i2bB7D0rGlUGa37QfEVaJxycDW0TqzanoaOO9cOH2suHvS1XMqFd9/STpXR5nlDdm85tXLkePScoyqImAfk/W7zbNqn13RKK7yWl5rRMMIZRPNIMlmEDPLh5F+kHNaGxK5Tp5DNTTXeX7pV2p47DH//WrVbznXXOOt+uvL99wT2G2XD6HPH+e7uKraSZVSVyVUwLGmYVUF1WshWdeY7QpAeh1Jo+1u1DGhe1xoregqvo3ct6t6bWJm+d54PyULvVr37jX9oCv6nSIyy4veLP8CgFMBvB7AfwBYso/xPO+7hQ2oDYZ18SBpAuZ6WNOUxO4mRVzLtSEC+MbU/mnFTTRdm+N67LJJA/hOxewl8aXQdGlcu2S8NsRJpeL0ZruUqxHSbmC70JvIcSX0ymRg21HIURs/vaBMsrSJcs7paBQLN8vjSVOGLE53xi1gukqtNze3HWW0XBNIe0Lm2hyPG2dc+wj9etoSoS5bEyoVttg6rk4We/PWcfZY9LOU17XKqpfbHVdepd3yoozypV1LhjJKBzfL86dbz15oXjbi1oNJOlL0mZTk7DQIKGo+GOeTSwlaoHVeq+eqQGu7mTRB7FnLkEcFm8v8V7dBSyrZ3om9KLIdXRSRwRYp7K7re0gK8kx7L/3cwqbb0NZFM0iy4Wb5YNDPcnZtAMe1H03yB+wgf73W6TqPnUCkW8YBKlDr+TUsLYXbmbpsWtT6RRT2OktU+7io8achLiBQrlWvxwfkpd2Uz5pQpiljkmMnlNFf6Gdd0S8MYhn28wC81vO8GzzP+7bned+1/xQ8HpKSdkplpCmJ3U2KuJa+x+3bqhgdCUq0tRy7N/o8It+pKd8w3XkXIsvJrl/vl3tfWoo+Z1zJ+JmZoISvLntnl8KxS/VKaZjVq4NxuErMpCnnI2VuKpVwiXgp+3bhxqDkTtJ3aF+3F+Vjo6553rl+fxwAqcfUrfGXuXxe1tL0hPSCNGXIXLozjf3U5cxd57PLaIk+Hh8PdIsuE1ap+MFbLlui20NUKv4kS7fr0CW97N+kLvu6tOSfK0pnSSsQmcQBQRnZe+5ptU1aDu2U5dI6Lg89GjeWvPRpWfVyN8aVRc/nZQfLKl9CyHChbXyUHkzSkXZJTpdtyqI7Z2Z8+1yths9lj0POedXVj4ZKrS8sRLf5Avxy8cvLvt3fsbPW/Oz4uL9wftlW9zzP9hvisMdqz3/tku2J5VDr4ePatUH6865zaf+im/Yurd11fXZ0JLrikB5vN8qpcl5ICCFhomxFGhti61SXznfpcpcu1usErvZorvNoW7x9WxWL9/r/Fx9E1iG2bB4Lf9Zaw4hrJxeH+DuCBPbZNm7HzhqWV1r9ojS4ZKVb+s1t9v+9fr17XXj7tipuvamK225OnrfKeWcvca+ntOtX6M+lte15+DCdrOfTX8iPXuyjlJmiV4/uAXBcwdckOdDOguOg9KKIc0xsY2r3a9syB2c/dRuRr92bbf56/33dq0ScCyD6nNu3VZul4F2GeNWo/+99+/zNDtnA2LU7vKChN9vlulJC5557wrKI2lxxyfG8c/3X6vXWnnG6P24abAMp9yKyK0LpJ/XZdfXHi0LGL1UKiiQvWWU9z6DoCjLYpLGDLt0Zp4/1uWc2hfts7d7jR07LorH+nYg+PnCgtW9XtRr01HTpHj2hnb0kOFYWtHV2uv2b3LGzFvr8vn3ROmv7Nn/Cd+tNwQa2TE6jihrZskpacI4iSY+mOZf9fV919aMtn8mq6/ptEpLneLPoeU58CSGDRJqN7rQ6Ms4Xydpv0rUwa49D9+WWa+/f32pjN8/6/ooEZMt8TuZ08lm9uO4K1pYKPkB0oLF8Tvqhy1ht2Vx3bRW331JtZryJbxDVt9zuD6/vr53F2z3zaM6PZY5tj7MdexflGyVtZKfdbIkbU5pNF33Oq65+NPbaLvKcF/ab30UIGR7y2BRMY0PS6NS0G+iuubXu9+1a97Btsd7sBXy7P389cMXlxzc/K3bYtfnsSgiLY/u2asvag1xTIz6I9E0Hkr8jeX98jf9/nYy2sBBkfdvr/XHfV9I15VxA2E+6bGsNF1xUw+497c2j7URAVxJCFn8h7f3Z58hyTq4j5wfXX8IUvVn+WgBvMsacWfB1SQ8YlIyeOMfENqZyz9ddGzgJQHpjbmcXysaClqUcc+nLx2Iz6OI2C6SkLxDeOJHP7Zn3I/zixrayEpZF87hN7nuzFyFcx7syEZOIMpDiEBWh9KPGoOUMZDPisthUJHnJKut5BkVXEBL1LLsytXQVDTlGlzCVTeyRkfAkS+yALCaPjPgTM5mQyYI14OsROzraju4WKpWwLne1DtHvyzmSNsAFe1HdhR14FZVZnxatR7WtbOdcu/YsxS6up6HfJiF5jjeLnufElxAyiEQtcCa95yIpY7nTMYqulnPOzbaWvxEbK3Z19hLgC5+vNqtqAfE+SFRm+NQUIoOwtZ+wuBg/x46aI1cqrXJyyU77EHqsSQvZkdWC9ra+1mn1vqh/2wv19ueizpc0prTj1UEWcdd2kee8sN/8LkLI8JAlSSZuvdH1urZT7erUpM9JMpfdblL0rg4SSzqvvXbrstP259oJhtJ2Xa4ZFYCX5l7kO5RAwMXF8OdsnyGNDU3rb9j2Tdb16/X2fMGoscWtx+RRgdg+R5Zzch05P7j+EqbrT5Qx5ivGmC8bY74M4B0AfgrA3caYffK6/tPt8RCiSWNg0zgmrvNEla1JGyUGtBrwy7YGE98rLj8+9jqygVGruQ27OArT08HmimQ1SibA/PVocbLiZGRvriQ5BrIJpO9fZyLGIecGwgslkrUhmzFZSshcuNGPxpMNrLQOWJSR3r6t2qwsENezXpOm1HO3yMtAFlm2h5B+wJWpZVfRsDfApUKJnREkdkDsQ70ezpLavq3a1B/1uv9nzzyaeu26a6vNKiU7dtbw8peOYWTEP04miaKvorKUtsyhGSEudqNadf+m5TWxSVrvuyKLmzLbFF44z1IWzaVH9WTXngyn0UUtpeGQXWf22ySkV+PlxJcQMshkydyNsk86e7nTBfE4XJv469b5761d6x6zrrQ2OhK+j/PO9V/ft8/vdyolWPUcN6qKWlL1GxsZl8xnN2xobPxvbt1k17Jz+RDaHtoL2c88/5Az8EHOY/tzLvm2W73P9pMk4DyuJKy0fYvKQI8bU9rx2kEW7foTnc4V+83vIoQMH2mSZOLWG0Xn6xYj7QYKJelcsf+Tk9HBajphKOn6UWu3USXG9Rhd2edRbNjg/33WWUHlV7mmrgZq9//W9yIb5nEyksxyWdeRdjShcVoJBnFVYeK+R32NHTtroWDEPIMjpP3f1FSETU1ImHCNO87n4DpAb6Dcw1TqSalAHWKM+SAy/Hw8z/vt7o2mcw4cONBdgfUpExMTOHz4cK+HkZmNF9ewdMxX1lEbwe2eZ8fOml8ad5N/zMKCP4mt1ZKvd+HGWjOj8Nabqs3zC2NjwFe+tA6HDx8OXUcUm+t4PS5ZaHCNY8fOGuavDzZi7PFettUvwzs93RpFmEYutmz0psnCgm88415LOne7iMyFsTEAdTSvIfKOIm6s7RyX1+fKTNJ32K96pV8pWt6Tk5Op6id0YneLuqesv0+tZzfPunW3HWBj6/WRkWCCJLpLPmMfK8hvTd7XAVKA///RkeA+0uhZ0edTU0FEsz5eziHjddkqOd5lG1zHtUOc7Ys7v3y3W+bG8JpXWyVXMJi6uV2os5OhjJKhjNLRjpyKsLv9TKE+w95WW+d6L2kuJT5AXvOh0PmVbZN5UrUaroJz+y3pbLfMqWzGVqFlzjqzCbHnA9IFIWeVUaa53N7wQrbtPxWNy5+SbEXtZ9rHyj10a9wTExN4x7sOtX2NvOf7ZYK2LppBkk1au5sFbaMHSVZlphtyjvMFsuBa+42yo5HjaOhosWlROveCiwIHoGn/F/wN1cV7Az3fzr2llbG9jgGE7ZzL/oXWI6qta85J6+P6fb1GLHJ2+Rl6nKOjYZ/BdVzkOkSMHLPayHae47hr5LVGM0hrKdTJ3ScvGcfZ564/iZ7nvcrzvN9O+6fb4yGDSbtRx3Y0VrvXckVY6Uh8KRcHtF7PdT47ot3uha6z4ewSa3HHA+HMPTuyXMYtPexcvfXsnjNxREVzu6KWXGWIkiLp7HPnlans6hGcRNrozXajPAexjByj/cmg0E7rgaheoc1zNs5llwYTvT57ia/DazU/Il0vHIttq1b943V7ix07a83sIyC86A3El8WK1LF1YP/+4L+u7GtXhLiMc2nJD1gC3JHQeZWWlUjyqEoxLptolxK1GUTdnBV5LqQ3KSGEkGiyZO4mzaXi+qDHkTRnsrOnxVeoVMKl1OPuR49dMpPkHPJ5e86q28pEnU/7O3H3ESWjpGz9JHuuM/mmzvD9mFqtfV8gj/mrK1NrdCRcwch1bKc+TJqxd3INzhUJIYOCrS+jbGdamxC1RiD2M22WqNbRSTrXtv86K1tXcgHay26OQqqAXrgx6A++YQOcdi6qgt/YmJ+oYNujuDUC1/taRnG+mKvHuku+cevaQLwcu7kmHneNNO+lJclHYDVS0gu6nlkOAMaY4wH8KoApAD8AcJPneT/q+oW7wLBG2ifR6+iZTiKasn623eMBf3JvR5O1O/aJiQk889mHMn9WR6ftmUczS+C2m9NlQ3Yr6svOprfHmuZ6rnOkQaIPKxVg/fpwVKSQ9Izr7ErX5+3jskaQ5hV52k/0Wq8MG8wsb588f59ps8qA1uhu57ksnW1nFOkMdwCxesw1lrjM8TRoGxnKMO9BhHFclZgtm2Myy/fG37e+H6A7WVy9jMoWua1eDdz02eGwT+1Cu5YMZZQOZpbnzzA9e0nzT1f2NJC+rZSNruAVd45IOxxRfSxt1baka9j3nJRZHsoygx/0F3VvST5At7KnU/snCcfEkaZK2DvedWjo5rBpGCZ9k5VBkg0zyweDPOScVtfnfVwSURXv0n62uXaw2Fm1mzgZu6rmRWXQx91PVpuXtXqonWHfLt3a38j6HBexvpB39nyvySLjQcuqL4qByCw3xpwJ4JsA9gB4D4APA/CMMc/v9rXJ4JAUTdRJRFW3e47aUfD253UPkDToDK52ekO7ogzT9MkBskeG6+smfR/SN71et7L8Hct1SefKGgMk0YcjI75z0070u8g16fPt9gKJ+1ySPBiNR0h3Sfpdu36D9mtREcRxet6O7rbPrSt2yLXsaOh/+/K6Zoa7ZEvpHuh6nHHR0LOXBIvqWXSN7tUuVVc6yUKS8eq+bXHHpa0Sc8XlxzvPk0an6/vpViZ6LzPc7d6khBBCuut/d3rupMox2rbNzPjBUFGb3JdtreGCi3y7G4WuYhNnL1122GXfxL+R86adR0ddQ8aVZo6mq7TNbPKD6arVcElY+3jxxaTanKuXuMvPS/M9Rx2T5n467VGZZi2i02sQQki/kXae6SKtTUhzPp2RHWVHtm+rYqTamqGdZo1RKsFcd222ajdZbdvMTFApLymDXir4bZ5tXZfIao+yVg+NWkNJe89CJxnbWfcX4ihifSHpOxnkCjOsUFheiuhZPg/gXACvBPBVAGcA2AlgyvO8M2I+WkqGNdI+iW5HNLYTTVR0BFI7UUF2ZLruGwa4s8/sDK4019WyGB8HDhzwX5+e9iMAM0XW7U1/vKtXXdz3ofvh3XZzdEZlpxkBzWO1rPcGBth1jrTPeB4ZplmfpaRnvd+i8QRGShcLM8u7R1xGtuh+sQVAa4nRrP3Q5Vx2X3NbB1y2tYZ9+3xbIK017GooUoEkTcWOrP1EXZ9N6rOWJA9X5LlrLKn7sTeu9aY3rGt5ljJFm++NtzGdUobqI2X5vZUZyigZyigdzCzPn7yfvW7636kyw3OcS8TJxlXlRmdZ7d+PUBn3L3w+myxc9k1nqgPZZRyXrZ7Fpm/fVk2s9ibHiy8GhP0u1/l1W7KkLL202fi9gPo8GsommkGSDTPLB4Oscu7E/sfp7yzn1WsCQIo5796wnW1njTGt7WmZ9y8AW+bCVdzi+oxH3oO6dtbPp5VL3HGy1j49HSRhZa0omyTDtGshuWWW742+/7L4GmUic2b5XlbeycpAZJYDOB/Amz3Pu8PzvJ94nvctAK8B8GRjzBMKuD4ZANqJJuo0SjsN+jztRAXZ/cPTZJ/ZGVxprqujy2SjHPA3ytNE1kVlPEYdJ3J19apbWkrOOpRMd/35NFGUaSMFxXEUuenPdRr9nkf0fNZnKen3McjReISUkThdKOjX9KIo0Np3KypC2YW2K+vXA6j7Pb1cunTfPv+4ffvQzMSWvmf2BnNUbKWtm133kGbcrv5fLj2apB91/1PBlq99vSiSrpWlv2leNibNNQghhPSebvrfSecW+7Rrd7pqL0nnu+rqR1P3UNXX37cvnFUelX1tn0Nnwrnsm2Sv6QyzLLjsdxqbrjPpZDxXXf0ollf8e4vqdyoZd8LiYut59ZqC9FsFku8vbTY+IYSQYujE/sfp7yzn1WsCQPRnXHYtzbXasT1i66bOCAL6pVLM7vkl5/ldfcZd2Nd2fT5L5VPAPb92fU6OO3TI///+/a1r2csrQcu6OEQe89enu0+bPH3PpPWFXvkag1I5les35aWIb+QJAL5jvXYPgAqA0wq4Pulj0m7Sukiz2D5/PTpSsto4pC2DY2+gCIuL4XMkbQhLSdg0ZVYW7w2uMTkZvJ7WgGYtPyPH6e9AxgBEn0cWPmYvaf28Pnc7JY/tcQpR5Qd7SVYHJ0keNMKE5EsaHROlC4Wolhhxm+ppdLFu/SERzRIYBYRLgOoNZSkbtm9feLIselkv8mo5yPkkcl3OqW1SmnGn1VNJ+lHOc9211eaivKvVSJrrMRCJEEJIO0QtPrd7rqiF2e3bqpHlXoU0i5hJNnHXnqVIO643wPUitc3ISDDHE1xj15vFSW2tpPSrzg5vtw1bu0F0u/YsoVYDRkfjv+vt26rYMue+hr2mMDLiy3XzbPIaiLTQ0eVm6Z8QQkjv6GT9LU5/ZzmvtiVxFd+i5untrDGOr/H/jkqQkmstLqJZ+l0Cw848I3wdHWjWTvl61+ddyWm6XV0a0qxrVCqta9lSqS/tMxGVqJDKvhdUH6pXvgYDAkm3KWrnZChLuZWZMmwMps2Q64YSjIpSyyoXOxMuqV+rawNFT5rbyT7TG+FpxvnJhSpuv6XaLJOXZ1/3uOO0s5a0yeG65yyGOCkaz+4jD5TL4HJzm5Byk3dEr0zi5ja3LopqfZC1N6RMWMfHg3E3x7jJLwF66cvHWjKx9X0lBZ6F/r/XbZOKjHDW6ACsdvyeLIsERfpVcdcqg39HCCGaftRLnY45z3lFUpC361pxG7PtsGXzWEuPc8n+3rChdY6nr79lzi/PfutNrfbUNfY0c8Yo2qn4EveajcufsWWT9br2ebdv82V1283t91XNcy7Zj79fQshwMIj6KS/9ndaW5DlP11VMkzLj5d8ScPede6N7qqeRR9RxUWsp8m+gtRJP3HMVJy87+SvNZ6LO4UpUiLtPofB17Rx2++yKQkkwIJB0myJ6ltcAHASwbL11sut1z/NO7eqAOmRQerjl3UOtnZ4BqfuF7s0nKt+F3a+1Hblk6Svm6g+bBVf/1E5k1K+9rJOwe5+nIUmO3egH1Wk/mkGHPbiKhT3L05OHbSri9233EXWN+5r3j2LX7qVmFliWvlRyvqmpRnWUTcnniCKNPDqRWad9y5Kepbz6kKUh7lq9tOvU2clQRslQRunop57l/TLf0DK1x5xVd+c5h7V7Xtty3LGzhvnr/SDwzbP5+xT6XgB/IXZ5JVwmvN3vNe+5fi/6P5ZBZ3Xzvjv5/cbJRq+hxD23gzofLsNzU1YGSTbsWd5divIvhl3OafWwrHdXKn4SgF2+3HUOsV9bNod7lnfjHlw2RyrlAen6i5fdJsX5A3k/x3n9/uQ8QPS58pB7Ed/dsOuKIhiUnuVvBfDnAN5n/Yl6nRRAGSJxsmbIdQM7Ay5qTHGRZVn6iqXJAo+7XlTmQDdK/KQZWx6RnN2IBk2KxnPRi2zuvPrhEkKKJQ99UcTvW7LF5W/XuKW06q7dwJ13hTPbbf0clbmky6C2K5s08uhEZnZFmbR9XLOeP8me5vG9J1VxydO/G8SMDUJIsZRh3pkVe8xt6e6cQg6SSpHeeRewshJftrwTFhb8kqq6bGml4gclp+m/KSSVk88D1/mGwY51cx7brd9vmnL7chznw4T0P93Qxf3oX0SRNbu2SNLq4euu9SuYfuHz6SrJAK1tRuPo5BmKsjmuSjxxz1VeLV27RZHr2nn9/tJUFMrDF6A/QdLS9czyQWNQMsvzpmzRM2kjhtJGYSdFlu2Z9xcNZi/p7vX05yWzvGj02NDYdOgkkkyywEdGgFtvSo48zJO4a9jvdS2zfG9CFmfM+4NO2fTKoMPM8mLpxe/bpfNe/bvAt+4OZ6ALzsy6veHNg6w6OimqPE4eeWX029HjacjrWeq0wkzRZIkYL/PvrSxQRslQRunop8zyfiEpCzaL/Skym15XkYnrS9oO9jwXaK96DFCsTLSvIYuj7V43aU4a9dyUPfssiTzGnyazPGkNZVDnw7R10QySbJhZHtAvVWZcFCHnNNm1ndKuXm9HD0dVpOukkme7z5DYG1l3jrI5adaHp87wk9+iqv2UmX7SFza5VXbs8BxJ9LOM+4VBySwnpHA66VfmIi5iavs2vw+Mqw9b1utJpNzUGf71pqbC0WrtRIl1GsFpf97V5yUq+ivLte24Hfs77EaP1rjnpIiosyz9cAkh/Y2tp8pSzeKe7wR6U/ctB1p1vB7znnn/XLoNSRwSLb9rt7sv2MJC8sQlD5m5oseLJG2FmbIwSBkbeTMM2YqEDBtRv+us9qdbutM1Pl1FJm+fQjKxRkfRUfUYwF9gBvz5bbfR/o79XbhkmFRFrp05YSdzyajxFGl3uj0XTruGwvkwIYMB5xTxpMmu7ZQkvZ6XD+S6lj5Hu2u77T5DslFerSLW5qRZH15cRGy1n04o29yyTOOR5wdoP6Of/gRJC58QMpDk7YgVpVRtA7x/f1DiJQvaqGWd6KYtu5tmwSTNtaNKpqctfyhZgu1M5ossZUsIGW6KLPsUNbFx6bUtm8cwNuZno9mZznE6XgKc0hYokkmqRmRRdEmsXk6UstqWXk9SOamMhqXcCBk88vpdd0t3usYnZU+7Ua1EbNbc7FjH58orWCyNXdS21v4uXDKMK6sqGxjLy9nat3Qyl4x6DuX1vFvJuOBcmBCSJ5xTxLN9mx88dNvN3ZNRkl7Pc26TppR51qSlNM9QnI9QSajzEDdmO+Avj+c5ae290/N1ShnnumUcExk8aKXI4NKHBQSjjHPUZkSa3uZZJ7q28elkotxJX3r79ahzLSyo66n30jgKcQ4OnXlCSJ4UueiY1BNM67UrLj++LV0nk82kSaeL6en0fcHKSruT0axR0ZwQtkcRQQb9+NwSQuIp+++66PFl6SWaRJaxZ8n0ztoL3TUOea1eb7W527dVMVLN3hO+kyyoKFnNzAT/7rZfwLkwIYQMFkl6PU8fI6sdzmsM2kcQ/2DDBv+c0k6mnTFnDfhLMxfNc+3ddb5OcY2n14H8ZffTyWDAnuUZGdYebkmUrS9DP/fD0cT11JiYmMAzn30osbd51glubr1AcujRluY8UePN+xnQz7iz/04f96QrK2XTK4MOe5b3H530/xbalVFWW9GvPSdFxlvmxvCaVy83X79wY63Z9+zWm7LfT5yN0t8r0H5/2KIp0++trH5gmWRUViijdLBnef7w2YumaNloHT6zCbF9T/PU91G+ymVba9i3zw/2szP4k3qWL6/k29c0aoxlnI/yNxUNZRPNIMmGPcvzpVfrcMMm516Ql4ylP7mQl/1Ns5ahn0fZuI67dt7rI3n0hU+irHPsskBd0X3Ys5wMJGkjkaS/6YUb0x0b1Ve7TGSNwmo38q+TSPA8osjzimiLK4knRI23m8+AfX/M/COEpCGLDUg6VregsPuGdzMbSMYFINM1+jVDSfT77vkl5/vtxpymLU3Xabm5YaWsfiAhZHjopW7Ou+f1VVc/Wui9aB0e1xLMPrYdtEyibG47JeRl3JVK/u3hRC76++B8lBAy6HAdrnvk7Td0YyxpEPtdq6EZ2N7tTHkha4XXvNdHilhvGeQ5NtdUiNBfK5ZkIEjr0CwsBAYuzbFxk+hu0I4iTXvvac9d5OZDliCH5ZV8nJKoknhZS6znbfRsB2GQHQZCSH5ksQGyER51rG5B0U4p9HYp46JE2sm967gk+xDVr3XzrP/65tnkcbhotzSdizJ+J72mX4MzCCGDQy91c1LP66xj2rVnKdd7SQqK1zo8ySZ2ou/T+FtAe3M9+czsJa3Bhe3OTeVze+Zbx8z5aD5wsZyQ8sJ1uHwRW/zc50XbwrzXsNOQp/80MlJctRX9PJZxLppH4GOn91VmG8s1FSKU51dLhoa0Ds3MjG/YqtV0xxbtJLWjSKPGaRuMMippGdOu3Yg1bBLkkIdTIoZYNiVEblnlk7c8bQehTI5QmZ0PQoadtLZKb4RHHTsz49vHkZHk/lt5MnVG4++p+OOK1EVpNgWiFsST7ENUv1aX3s/L1mS1KVwoIoSQ8tFL3RzX87qdMW3ZPNbW56J8gbigePsz3Zxn6co8eWd/xX2mXX8hLlu9TPPRfqaM6zCEEJ8yr8P1I2KLdaW0dv2GTnTnjp01PPP8Q7lVit08m34vIcsYsyRslZG8Ax9dJMmpzDaWaypEKOcvmAw0aQ3I9m1V3HpTFbfdnO7Yoo1SO4o0apy2wSijkpbeqUBryV/7OHvsnW6adFpur4zy7BZldj4IGXbS2irRWVvmooOOtm/z7eOtNxVr++JKkWpdX6QuSrMpEBWAYH+2E3vVK1tT9ok5IYQMI73UzVHXbndMV1x+fFufi/IFdMCfbX9dWdPdplotLvNMqrC1s4gfl61O8mGY1g0IIcON2OJKxf/btfaQdf2iHd25sAAsLeVXKTbLXkKmMWasdlo20gY+dnJvSWtAZbaxXFMhQqXebrPFIeXAgQMUmIOJiQkcPny418MoFbJZMDOTPPnesbPm9zXZlH6i3o7Ms4zJxYUba82s8VtvSv/5jRfXsHTMN4o339gdw9PuvaX9XL884+08S70kTv79IvNBoWh5T05Opioe3ond5TOUTFYZxekYretnNqEjXRSlG5J0dtT7l22tYd8+YHoauO7a6PFE2askOXVqXwcB/t6SoYySoYzS0Y6cirC7/Uwvn71uz2M6Htve9ux5ls+K/a1WgdHRYuYyecybsj43cp9AfFDkIEB9Hs3ExATe8a5DQ+87uhik5yat3c2CttGDJKsyk7ecbds9iPPIrOvhe28ANr24vPdv+wtlXuOOIu1z3Mm99dt6dN4UrZMHUXckkZeM4+zzcEiSkB6QJauuqAimTjP9pBx61pK/RUSPdVrOLqm8fLsUHXHYb9FwzIQnpPd0o9d2p7qo3X6rUe/bGfFR99yuvaIuI4QQ0i5225C0NrkI22NnfGUhiy8g9nfzbHFZ02nHl+d8Tldro88w3NB3JGQ4sX/7g6gLsq6Hf/mL60q9htlptdN2/IhePRedrN93az26HzP5i2AQdUcZKK8mIiSGflCUeW0Q5z0572RM7Rq+bi9EdFrOTuiGgekX49Wr31SZy/AQ0u+k/V132mNMrqF1fac6JW2/Vfs6UT3V7c9F3XO7do66jBBCSLtIKdTlZWQqQ56H7Umy1zMzwOrV3bdvZQn4dckjr/ncZVtr2LUbmJykz0DoOxIyTGjbYv/2B1EXRN2TbWPl/1dd/WjkMWXE5bPEjbsdP4It3gL6ZV29aAZRd5QBlmHPyLCWpUui6FITRZQ8KQtJJWEHqexGu99rp89DmlIx7T7j/VKGpoy/KZYVKxaWYR880vyum2Ug97anp6KukYdOSWPf7OukvW5W3Tzsz1IaKKNkKKNkKKN0sAx7/vT62etFGXJ93SRfoQy/yyLmvS55xPkMWWRzwUXBAvrtt5RjvtVNyvLclBHKJppBkg3LsA8Geci5jOttvSBq7r56NXDTZ6vOY/qFSP9hwQ/oX1zs7bpwP+uLfllX72cZ9wssw04GnnYjxoqInilLNFvSvdoRVlnGXZZ7FNr9XpMyDYWo17sZOVfGqDwXgxSRVrbnmpC05P3spv1dJ+kpGddlW1vHlzYDPOqccfeaJoK43cj8NLq5SF0yaHpr0O6HEEKyklUP9qIMub5uHnOAbuv+bmYWydinzmidVy4s5LNAOz0d/tt1/X6zm/06bqHfx08I6Q8Gab3NJosejZq7z82ORR7TL7jGLdWC9u/P5tslybQbtqtb9jCP86Zdr6ItJ3kw8JnlxpitAF4K4DwA6wCc4XneonXMJID/B+A3Gi99AsB2z/MO2ucb1kj7JNqN7ChzxFiWseUZ5Z50Lnl/y9wYXvPq5ZYIqyzj7qb8uxn5n3TubmQ6MkKseAZRr5QZZpb3nnae3bS6Nuq4NDKScQl5/LbS3GunEcSXba1h3z5/Ufq6a7N/Xo/xK19alyinTuzeIOgt/SwNwv10g37TSb2AMkoHM8vzR8s0j3lMN/RgryqKpX3euq374/yCrLKxj08zf5zZhJZr5KWz+tVuxo27H/R5r+TeD7LpFYMkG2aWDwaDKOc8/Yk89GieMs7j3vKSz4Uba6jVgJER4Nab8que2o7Mk2TcLXuYpfLfnnn/35tns8m9LD7UIOqKssHM8nw4AcCNAN4Sc8xHAPwcgBc0/vwcgA91fWQDTprInjJHjGUZm0S579qNjiOZkiLm5f3d80sAWiOssoy7m/KXCLr569v7fCf9XtJkOhYdecZIt+Ios14hw0W7WWVZnt20WVadZGPJuKan048vLhtdnzOuj1mnlTn27Qv/nZWs30cnMo7qtd5vRGXmEUJIP5FHBnPafp1Fjytv4vqw5n3+OL8gq2zs49PMH7NcowgfsN1r5YmMe2oKfTnX5byREDKo5N1DO4q0lT47Je1587i3ds9hj3HzrL9RXq8HewV57JV0w3Z1yx6mPe/CAlCr+X+yyp22nOTJwGeWC8aYnwfwFViZ5caYcwD8B4ALPM+7o/HaBQC+AOBsz/M8fZ5hjbRPwhXZUZbIniLYsbOGXbv9f3d6v0mZdPL+ls1+ZnnqcxachSARdNUqcNvNnWX02fLMo19J1ufzmvePYtfupbZlOEy/h7xgVF6xMLM8f4r43afVh1HHdUtG7Waj5ymzTjPLNWnkZMs4i+0dBBsxMTGBZz77UF/fR7f9pV7rpH6AMkoHM8vzpyWzfG93eiN2ou971bMx7nnrtv3KkpGURTbtyNL1mSjZFGnXy+BDuMbQTX3eqyoLeZG3bPpdHppB8gOYWT4Y9Kucu72m2s51o0hT3adb/kCe55AxjowAI1X/HmTj3e7TzoomYXbsrGH+ej+wIGtmeVkou4wHAWaWF8P5AI4A+KJ67Q4ARwH8Qk9GNCAMU2TP9m1VbJnLJ2s5KZNO3r/i8uNTn7OTyLp272XzbNB3rx3inp88+oBnfT537Vlquzd81usxC52QwaAIO5hWH8pxQDGZP+1moy+v+EFWeVQAue7aKm6/pdrxRnla7O8ii+0tm8/UruzLdh9ZKWPWJiGkePKYa0TRiZ7s5rjapdt6P+35s8qmHVlm6ZnpGnda21pkVnoW4sZVtP2nvQ5DeRBCbB2dtKYqFVPyXhfo1B5E6bO8/IE0NrZdf0vGWK8H9xDVpz3pPoZtXXj7tipuvamK224ul59Lhg9mlhvzJgC/43nemdbx3wHwfs/z3qlfH9ZI+yQYPROmiEixLDLvJLKuDJHqZeCa949i156ltnrDZ4Uy96FeKRZmlg8Htn4pk4zssZVJF7Yjp15lAOZBN/qg9QPd/s4GQUbdhjJKBzPL84fPXjSUTTRaNnn1GC2T/6PJOq6uZ5bv7U8fC+hSZvne/pWHZpD0DTPLB4N+kXNWHV0mW1NUdR+gXNX/4sh7nP3yHPczlHH3KSKzfLTjs/cAY8zbAFyZcNjzPM+7Je9rn3DCCRgZGcn7tH3PyMgIJiYmej2MWK66+lHs2rOELZvHMmVlt8OWuUexe34Jc7NjmJjozrWyyPxNb/D/aNLKo4h7cVHk95WGN7xuBFdcvtL8f6dyibu/Xsm8bPSDXhkkyirvTuxuWe+pG7Sr069+72P46K5aKXTtlrlH8ZGPLWF52Q9Q2jKHFl3YK9vQzrPksr39Qjt2aBB+b93+zgZBRt2GMkpHN+U0rPNdPnvRNrYT2ZRtTpc3Wjbadl7zfrTcdxrbetXVj2J5ZQkjI37btTLNBbP6Bt38TfWzjwXkL5t+l4eGujgebaMpq2LoFzln0dFJtqZo261lrPVZN8bRzfVWPd6vfKmzc+c9zn55jvsZyrj7FCHjvswsN8acDODkhMO+53neI+ozUZnllwH4cwBrPc+rN16rADgMYLvneR/QJx3WSPsk2o3sKLK3Upmi5vKg02iassujyPGleQ7zjhAru/zLAKPyioWZ5f1Nuzpl4/NrWFrqTBflacvzysrqFPuehulZahfKKBnKKBnKKB3MLM8fPnvRNrYT2ZR5zpOH/5J3z/KOe9qXqG81f1PRUDbRDJJsmFk+GAyinMsy5xZExjt21rBn3n9t82xrv++yU2afZxCf47JBGXcf9iyPwPO8Bz3PuzvhzyPJZwIAfAnAGvi9y4XzAYwj3MecdIEieyv1ex/NvGmnj1qRPVOK/L560eOLzyMhJE/a1SlbNo91rIvy1KFJ91GE7tyxs4Zdu8vR+3HYepURQgjpHZ3Y2Ch7VeY5TzfngO3edyfy6uR+6G8QQsjw0M05dyfrygsLQK3m/3H1+y47/TZeQkgrfZlZngVjzGkATgPwVAB/D+DXAPwX/MzzhxrHfBrA6QC2Nj52LYBFz/NeZJ9vWCPtk+gos3zvYPRWKppuRCwVEV3YTsR7t6Pk0zyHjBArHsq8WJhZPpzkISOXDu2m3u62TRBbBwBb5nqbWV7m6HQb/t6SoYySoYzSwczy/OGzF00a2ZTNXqXxFewMtnZ8ijI9N52srXTj+yuTbMoGZRPNIMmGmeWDAeWcjXbWlXVm+fz1QL3evl2OomzVV4pC7nvL3Bhe8+rlXg9noKGu6D7MLM+H3wVwJ/yNcgD4h8b/f0Md8zIAXwPw2cafrwG4tMAxDi3bt1Vx843VoTJUaXFF22WN+M56fJbownajz9uJeLc/k3fkO59DQsigk0VvRh0b9bpLh7p0fV66u9vVQMTWyUZ5LylLdDozzgghZLDYsbOGCzf6f/LQ7b22V7adSuMrbN9WxehIkMGW9tx5jzUvOpnT9vr7I4QQMhgkrRu77M1VVz+KjRf7x9x6UxW33Zz/+mw7awhFz4G7cT25793zS7mds1O4tkDKzMBnlufNsEbaJ8HomfxxRdvp177ypXU9jfBv99ztRLzbn+lF5gKf8eKhzIuFmeWDTZY+pFHHZtG9Ll2fl+7uRVWaYX+W0nx3wy6jNFBGyVBG6WBmef4M27Onq6gk2eV+kI1tp9L6CmmOi7OB7cimbFn43aIfnpteQdlEM0iyYWb5YEA5t09ae7fx+TUsLXXXLrazhlC0ve7G9eS+t2wuT2b5oPpB1BXdh5nlhAwxrmi7qTMaf0+lP0e1CiwvI/eIrXajz9uJeLc/0++R74yiI4QUTRa9GXVslnO4dH1eNmnQqoFctrWGCy6q4bKt5bUJ/W53CSGEhBGbPDIyGLrdnien9RXSHJe3Dcw6p+81nLsSQkh/kZfe7vQ8ae3nls1jXZ9rtrOG0M019ajr5S0Hue8rLj8+v5N2CNcWSJlhZnlGhjXSPglGzxSDnVn+jncdSuy5MqgRW0XRjf4u/E7SQb1SLMwsH06KllG/6r9uyumCi4KJ9+23JGS/lbjPWtl/b2WQX9llVAYoo3Qwszx/+OxF0w+y6ZV/MaiZ5dpmSgnXrOPth+emV5RNNmXwkYSyyaYTmFk+GPSTnOW3vLzitxjp1M4UZa/KLOO0MiiTHnVRZhkPCpRx92FmOSFDSFzknh19labnCiO2OqMb/V34nRBChhXqv1amp8N/R9EPfdbKTLd73RNCSL8xSDain/yLfhirtpn9MF7SGfSRCBkM5LcM5KO3y6z/i/Jh0sqAepSQwYCZ5RkZ1kj7JBg9kx9po9YmJib8zPK9xfZtHTbK2N9lWKBeKRZmlg8nlFE6yiCnsvdZK4OM4uhFr3ubssuoDFBG6WBmef4M47OXZd45bLJJy6DKJg+bOaiyyYOyyaYMPpJQNtl0AjPLB4N+knOZfstZGIQqLWWXfT89x/0KZdx9mFlOyBDSaU/YPNGReoOUeZCFMvZ3IYSQQWNYbUwW2u2zJj7FsMt40HrdE0JIp5Q5Y4y0UqQdj7OZw+5PDCL0kQgZDPrpt1xUP/RuXd+mn2RPCImGv2BCCuCyrTVccFENl21NNsJlMrC6jAxLyhBCCOnWAqnYmD3z4AJsjmifgnacEEKIpizzzk58i2HauC2LHS/LOAghhLRHr2ynvm6ntqRTH4a2jBDiove7cYQMAfv2hf/uF6bOaPw9xcwDQggh3ZtUio0B8jn/MC2ep4V2nBBCiFAmO9mJbzFMi91lseNlGQchhJD26JXt1Nct0pa4fB7aMkKIC26WE1IA09Phv/uFxXsbfy+WJ/OAEEJI7+jWpFJszObZfM4/TIvnaaEdJ4QQIpTJTnbiWwzTYndZ7HhZxkEIIaQ9emU79XWLtCUun4e2jBDighqBkAK47toqbr+liuuu7c1Prt3MgWFafCCEEJJMtyeVeZ0/q/0qU4YdIYQQ0m3KNM/rxPb3crF7x84annn+IfoOhBBC+ope2c5eXTeNz8P1AEIIAFTq9Xqvx9BXHDhwgAJzMDExgcOHD/d6GENFFplvvLiGpWO+c3DzjYyRaQc+48VDmRdL0fKenJyspDmuE7vLZygZysgnyU5STslQRslQRslQRuloR05F2N1+hs9eNJSNG86x4+FzEw1lE80gySat3c2CttGDJKsyQzl3nzLIeNBtehlkPOhQxt0nLxnH2efB+/UTMgDkHdFWpsyBomF0ICFk2KDey84w28lhhL8RQghxQ/2YnpkZYPVqZqoRQggh/Y69HkD7XQyUMykb3Cwnfc8gKlbpp7JrN3K5r2HuxVKmfnyEEFIE1HvJ2L7DMNvJslCkP8ffCCGEuKF+TM/2bVV8+YvrYn2HbsizjOsfZRwTIaRYqAdIP2OvB9AfSiaP3zzlTMoGVwRJ39OuYi2zIzczE/ybBqMzmC1ICBk2qPeSacd3KLPfMAgUOVHmb4QQQtxQP+ZLN+SZh73M26fhYjchhHqADBLd9IcGZV0hj988/U5SNrhZTvqeNIpVDNFlWwODVGZHbvu2KrbM0WDkAbMFCSHDRh56L80Erp8nee1MysrsNwwCRU6U6RsQQoibTvVjp75BP/sWLrphb/Kwl3n7NFzsJoSUTQ8Mmj3pJpRVK92cLw7KukIev3nOy0nZqNTr9V6Poa84cOAABeZgYmIChw8f7vUwItl4cQ1Lx4L/izJf2Ov/3Y9KuewyHzQo7+KhzIulaHlPTk5W0hzXid3lM5RMlIzEbo6NATff6LaRaY4ZFCYmJvCOdx3qa7+h2/D3lgxllAxllI525FSE3e1n+OxFk0U2nfoG/eZb9Otzs2Nnres+Tb/Kpggom2gGSTZp7W4WtI0eJFl1g7zsyTDIude2dxhkrCnCBtsMm4x7AWXcffKScZx9Lv/sg5AckGin6elgo5zRS4QQQoibNFHCZcse6Db0GwghhJB4OvUNhs236BX0aQghgw7tSXooq2KhDSakvDCzPCPDGmmfBKNnimdQZC4l8Wdmyp2pNyjy7ico82JhZvlwkreM+kWnZ4XPUjKUUTKUUTKUUTqYWZ4/fPbc9CL7qZ/gcxMNZRMNZRPNIMmGmeWDAeWcTKdrAJRx96GMuw9l3H2YWU4IGShcfXDy6tWStscOe/EQQkj3SKPTB1EPD+I9FQnlRwgh5WRhAVhaKqavZru2gDaEDCJ8rgkh/cKg9OAmxSD27bKt3bFztJ+kE7hZTggpDJcDlVe5n7TOGZ04QgjpHml0+iDq4UG8pyKh/AghpJzMzACrVxdTmrVdW0AbQgYRPteEkH6BZdxJFsS+7dvXHTtH+0k6gZvlhJDCcDlQefVqSeuc0YkjhJDukUanD6IeHsR7KhLKjxBCysn2bVV8+YvrCinB3q4toA0hgwifa0JIv8Ae3CQLYt+mp7tj52g/SSewZ3lGut3DrV97fbIvQz5k+f4p82KhvIuHMi8W9iwfTropo371aVzwWYpGvuctc2N4zauXez2cUsPnKBnKKB3sWZ4/fPaiKYNsyupTlEE2ZYWyiaaMsinLb6yMsmkX9iwfDOLkXJbfTb/DZ7n7cN2n+/A57j7sWT6EsFTEcMPvf7BgnxRCyDDTLzaNuroz5HvePb/U66EQQggZUPrFpygj9HNIGvgbIyQ7/N0Q0v7vgP4JKSPcLC8ZLBUx3PD7HyzoOBNChpl+sWnU1Z0h3/Pc7Fivh0IIIWRA6RefoozQzyFp4G+MkOzwd0NI+78D+iekjHCzvGSwz0fvKENEE7//wYKOMyFkWGmW4tpU/lJc1NWdIb7LFZcf3+uhEEII6TPSzsE5T24f+jkkDfyNEZId/m76kzKs/w8S7f4O6J+QMsKe5RkZ1h5uSQxCX4aNF9ewdMxX1DffWH5HZxBk3k9Q3sVDmRcLe5YPJ92SUb/Z1CT4LCVDGSVDGSVDGaWDPcvzh89eNN2UTb/7C3xuoqFsoqFsohkk2bBn+WBAOXefomXc775HO/A57j6Ucfdhz3JCCoQRTYQQQkg+0KYSQgghJAn6C4QQQggpEvoehJAoRns9AELKwvZtVWzf1utREEIIIf0PbSohhBBCkqC/QAghhJAioe9BCImCmeWEEEIIIYQQQgghhBBCCCGEEEKGDm6WE0IIIYQQQgghhBBCCCGEEEIIGTq4WU4IIYQQQgghhBBCCCGEEEIIIWTo4GY5IYQQQgghhBBCCCGEEEIIIYSQoYOb5YQQQgghhBBCCCGEEEIIIYQQQoYObpYTQkifsGNnDRsvrmHHzlqvh0IIIYT0DNpDQsgwQx1ICCGEEEIE+oaE5AM3ywkhpE9YWACWjgELe3s9EkIIIaR30B4SQoYZ6kBCCCGEECLQNyQkH7hZTgghfcLMDDA2Bsxs6vVICCGEkN5Be0gIGWaoAwkhhBBCiEDfkJB84GY5GRpYkqRzKMPesn1bFTffWMX2bVTdhBBC0jGItjutPRzEeyeEDD5JuotzAjIs0I4TQgghyfTCN8zTRtPek7LA2RUZGliSpHMoQ0IIIaS/GGbbPcz3TgjpX6i7CPHhb4EQQggpJ3naaNp7Uha4WU6GBpYk6RzKkBBCCOkvhtl2D/O9E0L6F+ouQnz4WyCEEELKSZ42mvaelIVKvV7v9Rj6igMHDlBgDiYmJnD48OFeD2OooMyLhfIuHsq8WIqW9+TkZCXNcZ3YXT5DyVBG6aCckqGMkqGMkqGM0tGOnIqwu/0Mn71oKJtoKJtoKJtoKJtoBkk2ae1uFrSNHiRZlRnKuftQxt2HMu4+lHH3yUvGcfaZmeWEkBDsE0IIIYSQbkJfgxBCCCEu6CMQQggpO7RVhAwm3CwnhIRgnxBCCCGEdBP6GoQQQghxQR+BEEJI2aGtImQw4WY5GWgY6ZUd9gkhhBCSB7TBJAr6GoQQ0grtJiH0EQghhJSfdm0VfT1Cyg17lmdkWHu4JVHWvgwbL65h6ZhvwG6+cbBiQ8oq80GF8i4eyrxY2LN8OOmmjAbJBvNZSoYySoYySoYySgd7ludPGZ69strNMsimrFA20VA20VA20QySbNizfDCgnLvPMMm4V77eMMm4V1DG3Yc9ywnpEEYlE0IIIb2BNpgQQghJD+0mIYQQQsjgQl+PkHIz2usBdBNjzEkA3grgYgBPAfAggE8BeLPneT9Wx00C+H8AfqPx0icAbPc872AR49yxs4aFBV9hbt/G+IU82b6tiu3bej0KQgghZPigDc4X+ouEEDLY0G6SYYZ+DiGEkEGHvl55oR9CgMHPLH8igJ8C8HoAPwPgtwBcCOCj1nEfAfBzAF7Q+PNzAD5U1CAXFoClY8DC3qKuSAghhBBC+gn6i4QQQggZVOjnEEIIIaRX0A8hwIBvlnue9w3P837T87xPeJ633/O8WwG8DsAvG2PWAoAx5hz4G+RbPc/7kud5XwLwGgC/bowxRYyTJTgIIYQQQkgc9BcJIYQQMqjQzyGEEEJIr6AfQoABL8MewVoAjwF4pPH/8wEcAfBFdcwdAI4C+AUAXrcHxBIchBBCCCEkDvqLhBBCCBlU6OcQQgghpFfQDyEAUKnX670eQ2EYY04E8BUAn/Y87/9rvPYmAL/jed6Z1rHfAfB+z/PeqV9/7LHH6iMjIwWNuH8YGRnByspKr4cxVFDmxUJ5Fw9lXixFy3t0dLSS5rhO7C6foWQoo3RQTslQRslQRslQRuloR05F2N1+hs9eNJRNNJRNNJRNNJRNNIMkm7R2NwvaRg+SrMoM5dx9KOPuQxl3H8q4++Ql4zj73JeZ5caYtwG4MuGw53med4v6zBoAnwTwn/B7mLfFI488knzQEDIxMYHDhw/3ehhDBWVeLJR38VDmxVK0vCcnJ1Md14nd5TOUDGWUDsopGcooGcooGcooHe3IqQi728/w2YuGsomGsomGsomGsolmkGST1u5mQdvoQZJVmaGcuw9l3H0o4+5DGXefvGQcZ5/7tWf5ewGck/Dny3JwY6P8Hxv//XXP836izvVDAKcYYyrq+AqAUxvvEVIYO3bWsPHiGnbsrCUee9XVj6Y+lhBCCBl2stjYfmJQ74sQQgh1PCH9DH+/hJC8oD4pBsqZkOGmLzfLPc970PO8uxP+PAIAxpgJAJ8BMALgVz3PO2Kd7ksA1sDvXS6cD2Ac4T7mhHSdhQVg6RiwsDf52F17llIfSwghhAw7WWxsPzGo90UIIYQ6npB+hr9fQkheUJ8UA+VMyHDTl5vlaWlslN8IYBLAqwCMG2NOa/wZAwDP874FfzP9GmPM+caY8wFcA+BTnud5PRo6GVJmZoCxMWBmU/KxWzaPpT6WEEIIGXay2Nh+YlDvixBCCHU8If0Mf7+EkLygPikGypmQ4aZSr9d7PYauYYy5CMDnI95u9jQ3xkwC2AHgNxrvfQLA73med9D+0IEDBwZXYB3AvgzFQ5kXC+VdPJR5sfSgZ3kl+ajO7C6foWQoo3RQTslQRslQRslQRulos2d51+1uP8NnLxrKJhrKJhrKJhrKJppBkk1au5sFbaMHSVZlhnLuPpRx96GMuw9l3H1y7FkeaZ9HOz57iWlshic6J57nHQDwW10fEHGyY2cNCwt+9Nb2bQNd7IAQQgghhAwY9GUJIYSQeGgrCSGEEJIW+g2kF/BJIz2H/UAIIYQQQki/Ql+WEEIIiYe2khBCCCFpod9AegE3y0nPYT8QQgghhBDSr9CXJYQQQuKhrSSEEEJIWug3kF4w0GXYSX+wfVsV27f1ehSEEEIIIYRkh74sIYQQEg9tJSGEEELSQr+B9AJmlhNCCCGEEEIIIYQQQgghhBBCCBk6uFlOCCGEEEIIIYQQQgghhBBCCCFk6OBmOSGEEEIIIYQQQgghhBBCCCGEkKGDm+WEEEIIIYQQQgghhBBCCCGEEEKGDm6WE0IIIYQQQgghhBBCCCGEEEIIGTq4WU4IIYQQQgghhBBCCCGEEEIIIWTo4GY5IYQQQgghhBBCCCGEEEIIIYSQoYOb5YQQQgghhBBCCCGEEEIIIYQQQoYObpYTQgghhBBCCCGEEEIIIYQQQggZOrhZTgghhBBCCCGEEEIIIYQQQgghZOjgZjkhhBBCCCGEEEIIIYQQQgghhJCho1Kv13s9BkIIIYQQQgghhBBCCCGEEEIIIaRQmFlOCCGEEEIIIYQQQgghhBBCCCFk6OBmOSGEEEIIIYQQQgghhBBCCCGEkKGDm+WEEEIIIYQQQgghhBBCCCGEEEKGDm6WE0IIIYQQQgghhBBCCCGEEEIIGTpGez0AMngYY24B8IvWy7s8z3tJD4YzcBhjtgF4HYAnAPgmgN/3PO8LvR3VYGKMeQuAP7Ze/pHneaf1YDgDhzHmQgBXAHgGgCcC+G3P8z6o3q/Al/9WAJMA/gXA//Q875vFj3YwSCHzDwJ4pfWxf/E879lFjTEvqCujoW5rhfooHcOkQ9rBGPNGAL8JwAB4DMA/A3ij53nfUMcM/bOUUk4fxHA/S/8TwGsATDVe+iaAt3me9w+N94f+OcoDY8xWAC8FcB6AdQDO8Dxv0TpmEsD/A/AbjZc+AWC753kHixtpb6AvRf8gDtq8aKjD09F4ht4B4H2e5/1e4zXKJgZjzEkA3grgYgBPAfAggE8BeLPneT9Wxw2t7coD+gfFQD8jP+ivdB/6Pd2nDP4TM8tJt/gAfGMnf17T2+EMBsaYLQD+HP6E4jwAXwTwaWPMk3s6sMHGQ/hZ/pneDmegWAPgGwD+F4BHHe+/HsBrAWwH8EwA9wP4nDFmorARDh5JMgeAf0L4mf/VYoaWH9SVqaBuC0N9lI6h0CEdcBGAnQB+AcBGAMsA/qmxsCnwWUonJ2C4n6X7ALwBwM8B+HkANwPYa4x5euN9Pkf5cAKAGwG8JeaYj8D/Hl7Q+PNzAD7U9ZH1GPpSTegfRHMRaPOioA5PwBjzbPiL3V+33hp62STwRAA/BV9OPwPgtwBcCOCj1nFDabtyhP5Bl6GfkTv0V7rPRaDf02167j9V6vV6XuciBEAzs/wbEhlK8sMY8y8Avu553qvVa98GMO953ht7N7LBpJF9Oet53k/3eiyDjjHmCIDfk8jHRrTYfwH4C8/z3t547Xj4hvAKz/Ou6dVYBwVb5o3XPgjgZM/zfr1X48oD6sp4qNvioT5KxyDrkLwwxqwBcAjAJs/zPslnyY0tp8ZrHwSfpRDGmIcAvBHAteBzlCvGmJ8H8BVYmWPGmHMA/AeACzzPu6Px2gUAvgDgbM/zvB4MtxDoS7VC/yAe2rx4qMMDjDHrAPwbgN+BnyH2Dc/zfo/PTHsYY34Vfnb5iZ7nPTzMtitv6B90D/oZ3YP+SjHQ7ymGov0nZpaTbvESY8yDxphvGmOuYgRN5xhjxuCXU7nReutG+FFNpDucaYz5L2PMvcaYjxljzuz1gIaEMwCcBvW8e573KIDbwOe921xgjLnfGLPPGPN+Y8ypvR5QFqgrU0Pdlh7qo2z0tQ7JmQn4860Djf/zWXJjy0ngswTAGDNijHkJ/IyRL4LPUZGcD+AIfLkLdwA4igGWNX2p1PC3GIY2zwF1uJNr4W+Ifd56nbJpj7XwSwI/0vj/UNqugqGMO4B+RuFQt3YH+j1dpFf+EzfLSTf4CICXA3gegD8BcAmA63s6osHgZAAjAH5kvf4j+MqC5M+/AHgV/JJKr4Yv5y8aYx7Xy0ENCfJM83kvls8AeAWAX4Jf2ua/AbjZGLO6p6PKBnVlMtRt2aA+Ss8g6JA8+XMAdwH4UuP/fJbc2HIC+CzBGPMzjcyQxwD8FYAZz/P+HXyOiuQ0AA94ntcsx9f49/0YbFnTl0oHf4thaPMU1OFujDGvBrABwJsdbw+1bNrBGHMi/HXX93uet9x4eVhtV5FQxp1BP6NYqFu7A/2eLtBr/2k0rxORwcYY8zYAVyYc9jzP827xPO9a9dq/G2O+A+BfjDE/53nev3VvlITki+d5n9b/N8b8M4DvAHglgKt7MihCuojneR9T//13Y8xXAXwXwK8B+HhvRkXyhrqNdAvqkABjzNUALoBfnnGl1+MpK1Fy4rMEAPAAnAtgHYBZAH9rjLmolwPqB7LMWwsYDiFDAW2eE+pwC2OMgd+f+ALP8471ejxloh3b1SgB/EkA/wm/jyuJgf4BISQv6Pd0lZ76T9wsJ2l5L4APJxzzvYjX/xXACoCz4PclIu3xIHw5Pt56/fEAflj8cIYPz/OOGGO+Cf9ZJt1FnunHI6xb+LwXiOd5/2WMuQ/99cxTV2aEui0R6qM26VMd0jHGmP8L4CXwF9y+o97is6SIkVMLw/gseZ63BGB/479fNcY8E8AfAHh74zU+R27ei/bnrTY/BHCKMaYi2WONfoSnYrBlTV8qHdTpoM2LgjrcyfnwM0q/6e+bA/CzSy80xvwugKc1XhtG2bwXGWxXY6P8Hxv//XXP836ijhtW25XEe0H/oCzQzyiWobbHeUO/p7v02n/iZjlJhed5D8I3Zu3wM/Ad4B/kN6Lhw/O8pUZWzcUA9qi3LgbL3BeCMeY4AGcDsHtrkfy5F76xuxjAV4Cm/J8L4HU9HNdQYYw5GcBPoY/0N3VldqjbEqE+apN+1CGdYoz5cwBb4E+e77be5rPUIEFOruOH7llyUAWwGnyOYulw3mrzJfh98s5H0Jf0fADjCPcpHSjoS6Vm6H+LtHmZoA4H9sJPptF8AMC34Wec78OQyiaL7TLGTAD4NIAKgBd4nnfEOmQobVcS9A/KA/2Mwhlmu5Mr9Ht6QqH+EzfLSa4YY9bD71f+j/CdkKcC+DMAdwK4o4dDGxSuBvAhY8yX4cvzdwE8EX4PB5Izxpir4Je1+h78CNH/Dd/5/dtejmtQaERDb2j8twrgycaYcwE85Hne94wx7wXwJmPM3fAnzm8GcATAR3ow3IEgTuaNP2+BPzn5AYApAO+E33droeChdgp1ZQzUba1QH6VjiHRIWxhj3gfgUgCbABwwxkjvrCOe5x3xPK/OZylZTo3n7C0Y7mfpTwH8A4DvA5gA8DIAFwH4NT5H+dF49k4DMN146amN/q/f8zzvIc/zvmWM+QyAa4wxWxvHXAPgU57necWPuFDoS4H+QRy0edFQh7vxPO8ggIP6NWPMUfi/p280/v9eDKFs0tLYKL8RwFr4v71xY8x44+2HPM9bGnLblQv0DwqBfkaO0F/pPvR7uk8Z/CdulpO8WQLwSwD+F/wou+/Df8jfyh4OneN53i5jzOPgK4MnAPgGgF/1PO+7vR3ZwHI6gI/CLxX2AIB/BvBsyjs3fh7hTNa3Nv78LYBXAXg3gOMBvA/AJIB/AfB8z/MOFzvMgSJO5v8DfiWQVwA4Ef4GxecBzPWbzKkrE6Fua4X6KB1DoUM6YFvj75us198Kf/MX4LMEJMtpBXyWToNfKvQ0AIcAfB3ACz3P+2zjfT5H+fC7AP5Y/f8fGn//NoAPNv79MgA7AIjsPwHg94oYXC+hL9WE/kE0tHnRUIe3D2UTzzMAPLvx733We88DcEvj30Npu3KE/kGXoZ+RO/RXug/9nu7Tc/+pUq/X8zoXIYQQQgghhBBCCCGEEEIIIYQQ0hdUez0AQgghhBBCCCGEEEIIIYQQQgghpGi4WU4IIYQQQgghhBBCCCGEEEIIIWTo4GY5IYQQQgghhBBCCCGEEEIIIYSQoYOb5YQQQgghhBBCCCGEEEIIIYQQQoYObpYTQgghhBBCCCGEEEIIIYQQQggZOrhZTgghhBBCCCGEEEIIIYQQQgghZOjgZjkhhBBCCCEkhDFmzhjzql6PgxBCCBkEXHbVGHOLMWY+p/O/3hhzUR7nIoQQQoYJ2mhCCMDNckIIIYQQQkgrcwBe1etBEEIIIQNCt+3q6wFc1MXzE0IIIYMKbTQhhJvlhBBCCCGEEEIIIYQQQgghhBBCho9KvV7v9RgIISQVxpgPAvhpAH8M4D0ApgB8HsClAE4C8H4A/w3AtwBc5nne140xUwDuBfAiz/M+ZZ/L87yfL+4OCCGEkPLTsJGvtF5+K4CvAPh9AD8L4DgA/wHgjzzPu9H6bMi+RtliQgghZBiIsasXAXgQwMcB/B8ApwK4A8CrPc+7T33+uMb7L20cczeAN3qe94+N9xcBPMU6//M8z7vFGPNaAC8BMA3gJwC+DOAPPM/bn98dEkIIIf0JbTQhRGBmOSGk33gyfCfkzQC2AvgFANcC+FjjzyyAUQAfM8ZUejVIQgghpI/5E/jBaHcCOL/x568BnAHgk/CD1C4B8EUAnzbGPKdH4ySEEEL6gSi7CgDPAvB7AF4Lf377c/Dnt5p5+OVh3wHgRfCD1z5hjDm38f4MgEMA/kad/98a750O4C8AvBjAqwGMAPiiMWZdjvdHCCGE9Cu00YQQAP6GEiGE9BMnATjf87x7AMAY83QArwPwSs/z/q7xWgXAPwA4G8CjvRooIYQQ0o94nnePMeYhAFXP8/5ZvfUX8g9jTBX+osLTAPx3+FH2hBBCCLGIsqvGGABYC+DXPM870HjtNAD/1xhzvOd5jxpjfgnArwG4yPO8WxsfvdEYMw3gSgCbPc+70xizDOA+y27D87w/UNcbAfA5APfDX5j/uy7dMiGEENIX0EYTQgRulhNC+o1F2ShvIKVpbna89lPq34QQQgjpAGPM6QDeDuCXATwBgFRw4UY5IYQQ0h5fkUX4Bv/R+Fvmsr8M4IcA7jDG6DW8m+BnssVijHk2/Ky5n4MfeC5MdzBmQgghZBigjSZkiOBmOSGk3zho/X/J8bq8dly3B0MIIYQMA41M8k8AmADwR/AXB44i6N9GCCGEkOwctP5vz2VPBnAagGOOz67EndgY82QAN8LvgfoaAP/VOP8/gHNlQgghJImD1v9powkZYLhZTggZdH7S+HvMen2y6IEQQgghfcwGAOcBeKHneZ+RF40xx1vH/QS0uYQQQkhePATgPwFsauOzLwBwAoAXe553FAAamW8nxX6KEEIIIWmgjSZkgOBmOSFk0LkffoTfOfKCMWYNgF8A8N1eDYoQQggpOUsIR7TLpvhj8oIx5ikAngPg6+q4+wBMGWOO8zxPAtae382BEkIIIX2AbVfTchOA1wI44nne3RnPfzyAGoBl9docuBZICCGEaGijCSH88RFCBhvP82rGmBsA/IEx5rvwS+i8FsCjPR0YIYQQUm7uBvBiY8wm+BvgDzT+/jNjzP+GX479rfAj6TV74Zdm/2tjzAfhZ6NfVsyQCSGEkNJi29X/Svm5zwH4LIDPGWPeBeCbANYCOBfAcZ7nvVGd/9eMMZ8BcASAB+BmACMAPmCM+RsATwNwBVrLyhJCCCHDDG00IQTVXg+AEEIK4PcA3AFgJ4D3AfgofKeEEEIIIW52wu+hdh2ArwD4bQC/CT/yfR7AnwB4J4Bb9Yc8z/sG/M3x8+H3OP/FxmcJIYSQYca2q1vTfMjzvDp8+3sdgN+Hvyh/DXw7e7s69HUAjsLvdfoVAM/wPO/fAbwKwLMAfArAywBsBnCo05shhBBCBgjaaEIIKvV6vddjIIQQQgghhBBCCCGEEEIIIYQQQgqFmeWEEEIIIYQQQgghhBBCCCGEEEKGDm6WE0IIIYQQQgghhBBCCCGEEEIIGTq4WU4IIYQQQgghhBBCCCGEEEIIIWTo4GY5IYQQQgghhBBCCCGEEEIIIYSQoWO01wMghBBCCCGEEEIIIWRQMMZcAuB/Avg5AMcD+C6ATwG4CsAYgHsBvMjzvE8VMJYxAG8CsNfzvLu6fT1CCCGkaIwxbwHwx43/1gEcArAfwI0Adnie98OCx/NiAH8KYD2A//I8b8oYUwew3fO8v8hwnrcA+D3P805OOO5fAXzD87xXtT9qQoYbZpYTQgghhBBCCCGEEJIDxpg/A7AbwHcAXArg+QD+L4BfAvC+HgxpDP4Gwrk9uDYhhBBSFIcAnA/gFwC8BMDH4dvhfzfGPKOoQRhjRgD8HYCvAdgIYKbx1vkA9hQ1DkJINphZTgghhBBCCCGEEEJIhxhjXgTgcgD/3fO869RbtxpjroW/cU4IIYSQ/Fn2PO+f1f8/a4z5SwC3AfiYMeZsz/NWunXxxib5CIBTAawF8BHP826X962xEUJKBjfLCSGEEEIIIYQQQgjpnD8A8G/WRjkAoLFA/2ljzFTjpROMMdfAz347DOBvALzV87yafMYYsxHAOwH8LPyMuesBvN7zvCON98cBvAvAxQCeBOBHAP4RwBs9z3u4cZrDjb8/YIz5QOPfZ3iet2iMOQ7A/wHwUviL+3c3PvuPHUuCEEII6TGe5x00xrwewKfh28rPpLV9xpjfgW/XNwD4IYD3eZ73bvX+BwH8NIC3AXg7gOnGef9P45AbjDGAb9vf4irD3ijX/r8b5zkIPyP9Ss/zjkXdkzHmpwFcA+AZ8Nu6vCGzYAghLbAMOyGEEEIIIYQQQgghHWCMWQW/9OtnUn7k3QCOAJgF8GEAf9T4t5zvaY1zPQjgEvil1F8GYF6d4wT4WWxXAngh/AX3jQiXed3Y+Ptt8EvAng/gB43X5gG8CsA7ALwIwFcAfMIYc27KeyCEEELKzi0AlgE8u/H/RNtnjHkdgL8EsBfArzf+/SfGmN+zzj0F356/E74d/iCA32y8dwV8m/vXrkEZY+bgl4r/MoDfAPBWAFsb53JijDkewGcBrIHvE7wNwHsBPDnqM4SQdDCznBBCCCGEEEIIIYSQzngcgNUAvpfy+Ns8z3tt49+fM8a8AP4C++7Ga/8bwHcB/IaUjTXGPARglzHmfM/zvuR53gMA/oec0BgzCj/L7HZjzJM9z/se/E0AALhHl4A1xvwSgF8DcJHnebc2Xr7RGDMNf/N9c5abJ4QQQsqI53k/McY8CODxaWyfMWYt/AC1t3me99bGMZ8zxpwA4M3GmL9U5dwfB+CXPc+7S67XKMfeuLS79LoxpgLgPQD+zvO8ber1xwC8zxjzTs/zfuz46G/Dz4Z/lud59zU+swjgdsexhJAMcLOcEEIIIYQQQgghhJB8qKc87kbr//+BcGbYfwMwb/VXvR5+dtwFAL4EAMaYS+H3ST8LwLg6dhrxG/e/DL+s7B2NTXbhJvgZd4QQQsigUGn8ncb2nQ/fnu6xjrkZfiDb6fCD2QDgP/VGeQam4dv83Y5rHAe/LPutjs/9NwBflY1yAPA87w5jzP1tjIEQouBmOSGEEEIIIYQQQgghnfFjAI8hfSnUg9b/l+AvkAtPgN+DvInneSvGmB8DOAkAjDEz8Pub/iWANwF4qPG5BetcLk4GcBoAV1/UFcdrhBBCSN/R6FH+OPg29aeQbPtObvz9zYhTPgnBZvmPIo5JQq7xjxHvPyni9dMAuDbGuVlOSIdws5wQQgghhBBCCCGEkA7wPO+YMeYOAL8C4M05nPIH8EutNmmUdn0c/E1xwC+V/i9WCddfTHn+hwD8J4BNHY+UEEIIKS/Pg78P9iUAG5Fs+8TG/jrcm+Ge+nfaajJR19gK4E7H+/dGfO6HAM52vH6q4zVCSAa4WU4IIYQQQgghhBBCSOe8F8AnjDGv9Dzvb/UbxpgqgOcDuDvluf4FwIwx5k2qFPtvwl/Lk96kx8PPZte83Pr/UuNvO9P8JgCvBXDE87y0YyKEEEL6BmPMiQDeBWA/gH+Cv7mdZPu+BOBRAE/0PO8fujQ0D/6m/ZTnee/P8LmvAHi5MeZ01bP8OeBmOSEdw81yQgghhBBCCCGEEEI6xPO8TxpjrgbwN43F6xsAHIGfBfa7ABYB/EHK070NfrbZXmPMX8LvkfouAJ/1PO9LjWM+B+B9xpgr4W+u/yqAX7LGtGSMuRfAnDHmGwB+AuDrjc9+FsDnjDHvgl9udi2AcwEc53neG7NLgBBCCOkZo8aYZzf+PQHgGQD+B4ATALyg0cok0fZ5nnfQGPMWAH9ujHkKgNsAVOH3GX+e53kznQ7U87yaMea1AD5kjFkL4NPwg9vOhJ/1Put53iOOj34AfvWaf2iM8XgAfwLgwU7HRMiwU+31AAghhBBCCCGEEEIIGQQ8z3stgC0AzgLwEfib0q+Fn8n9PzKc55sAXgg/W+zj8DfPPwpgVh12DYA/A/C/Gsc8BcDLHKf7Xfj9Uf8JflbaEz3Pq8PPVL8OwO/D3zy4BsD5CDLXCSGEkH5hHfys8C8C2APfXn4YwM94nvdVAEhr+zzPezf8EukvhB/49lH4lVu+kNdgPc/bBeDF8Dfq98C349sA/BuCqjD2Zx6B3+7lKICPAfhj+D7Gd13HE0LSU6nX222rQAghhBBCCCGEEEIIIYQQQgghhPQnzCwnhBBCCCGEEEIIIYQQQgghhBAydHCznBBCCCGEEEIIIYQQQgghhBBCyNDBzXJCCCGEEEIIIYQQQgghhBBCCCFDBzfLCSGEEEIIIYQQQgghhBBCCCGEDB3cLCeEEEIIIYQQQgghhBBCCCGEEDJ0cLOcEEIIIYQQQgghhBBCCCGEEELI0MHNckIIIYQQQgghhBBCCCGEEEIIIUMHN8sJIYQQQgghhBBCCCGEEEIIIYQMHdwsJ4QQQgghhBBCCCGEEEIIIYQQMnT8/0VmDDkJ66g6AAAAAElFTkSuQmCC\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_trace(data, compact=False)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f8a4168b", + "metadata": {}, + "source": [ + "## Meu Exemplo Simples 1" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "65dc0152", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "alpha = 5\n", + "beta = 3\n", + "\n", + "x = np.linspace(0, 10, N)\n", + "y = np.array([alpha + beta * x_i + np.random.normal(0, 3, 1) for x_i in x]).flatten()\n", + "\n", + "plt.plot(x, y, lw=0.3, c='blue')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "34ab6dbb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data{\n", + " int N;\n", + " vector[N] x;\n", + " vector[N] y;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta * x;\n", + " }\n", + " \n", + " model {\n", + " //Prioris\n", + " alpha ~ normal(0, 4);\n", + " beta ~ normal(0, 2);\n", + " sigma ~ lognormal(0, 1);\n", + "\n", + " \n", + " // Likelihood\n", + " y ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] y_hat;\n", + " \n", + " for (i in 1:N){\n", + " log_lik[i] = normal_lpdf(y[i] | mu[i], sigma);\n", + " y_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'x': x,\n", + " 'y': y,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "623a50ca", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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arviz.InferenceData
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+       "Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 100)\n",
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+       "  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99\n",
+       "Data variables:\n",
+       "    alpha     (chain, draw) float64 4.695 4.638 4.398 ... 4.903 5.654 5.685\n",
+       "    beta      (chain, draw) float64 3.166 3.122 3.141 ... 2.993 2.913 2.977\n",
+       "    sigma     (chain, draw) float64 2.748 2.489 2.757 2.846 ... 2.892 2.63 2.63\n",
+       "    mu        (chain, draw, mu_dim_0) float64 4.695 5.015 5.335 ... 35.15 35.45\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:36:10.990009\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
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+       "Dimensions:      (chain: 4, draw: 1000, y_hat_dim_0: 100)\n",
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+       "  * y_hat_dim_0  (y_hat_dim_0) int64 0 1 2 3 4 5 6 7 ... 92 93 94 95 96 97 98 99\n",
+       "Data variables:\n",
+       "    y_hat        (chain, draw, y_hat_dim_0) float64 4.793 4.784 ... 36.33 36.13\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:36:11.114778\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0

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+       "  * y_dim_0  (y_dim_0) int64 0 1 2 3 4 5 6 7 8 9 ... 91 92 93 94 95 96 97 98 99\n",
+       "Data variables:\n",
+       "    y        (chain, draw, y_dim_0) float64 -1.971 -2.414 ... -3.144 -3.052\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:36:11.081201\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0

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+       "Dimensions:          (chain: 4, draw: 1000)\n",
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+       "  * chain            (chain) int64 0 1 2 3\n",
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+       "    step_size        (chain, draw) float64 0.425 0.425 0.425 ... 0.3668 0.3668\n",
+       "    tree_depth       (chain, draw) int64 2 3 3 4 2 2 3 3 4 ... 3 3 3 2 2 2 2 3 3\n",
+       "    n_steps          (chain, draw) int64 7 7 7 15 3 3 7 7 ... 7 15 7 7 7 3 9 7\n",
+       "    diverging        (chain, draw) bool False False False ... False False False\n",
+       "    energy           (chain, draw) float64 155.9 155.2 155.7 ... 157.9 156.0\n",
+       "    lp               (chain, draw) float64 -154.2 -154.9 ... -155.5 -154.4\n",
+       "Attributes:\n",
+       "    created_at:                 2023-03-14T14:36:11.037990\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
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+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0

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\n", + " " + ], + "text/plain": [ + "Inference data with groups:\n", + "\t> posterior\n", + "\t> posterior_predictive\n", + "\t> log_likelihood\n", + "\t> sample_stats" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_predictive=\"y_hat\",\n", + " observed_data=data,\n", + " log_likelihood={\"y\": \"log_lik\"},\n", + ")\n", + "\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "3111d025", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Posteriori\n", + "col=['r', 'b', 'g', 'c']\n", + "\n", + "for j in range(4):\n", + " for i in range(1000):\n", + " plt.plot(data.posterior.mu.values[j][i] + 10*j, c=col[j], lw=0.1)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "8a9d889b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Posteriori predictive\n", + "\n", + "col=['r', 'b', 'g', 'c']\n", + "\n", + "for j in range(4):\n", + " for i in range(1000):\n", + " plt.plot(data.posterior_predictive.y_hat[j][i] + 30*j, c=col[j], lw=0.1)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "72e5d05c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Log-Likelihood\n", + "\n", + "col=['r', 'b', 'g', 'c']\n", + "\n", + "for j in range(4):\n", + " for i in range(1000):\n", + " plt.plot(data.log_likelihood.y[j][i] + 10*j, c=col[j], lw=0.1)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "id": "6a11f792", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "var_stats = [\n", + " 'acceptance_rate',\n", + " 'step_size',\n", + " 'tree_depth',\n", + " 'n_steps',\n", + " 'diverging',\n", + " 'energy'\n", + "]\n", + "\n", + "for i in range(len(var_stats)):\n", + " plt.plot(data.sample_stats[var_stats[i]], c='b', lw=0.1)\n", + " plt.title(var_stats[i])\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4921c8a7", + "metadata": {}, + "source": [ + "#### Trabalhando com InferenceData" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "01d6a189", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset>\n",
+       "Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 100)\n",
+       "Coordinates:\n",
+       "  * chain     (chain) int64 0 1 2 3\n",
+       "  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n",
+       "  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99\n",
+       "Data variables:\n",
+       "    alpha     (chain, draw) float64 6.93 6.384 7.327 7.802 ... 7.236 6.87 6.73\n",
+       "    beta      (chain, draw) float64 3.162 3.247 3.034 ... 3.121 3.147 3.183\n",
+       "    sigma     (chain, draw) float64 3.21 3.939 3.982 4.139 ... 3.368 3.617 3.655\n",
+       "    mu        (chain, draw, mu_dim_0) float64 6.93 7.25 7.569 ... 38.24 38.56\n",
+       "Attributes:\n",
+       "    created_at:                 2023-02-16T16:21:27.510605\n",
+       "    arviz_version:              0.14.0\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.6.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0
" + ], + "text/plain": [ + "\n", + "Dimensions: (chain: 4, draw: 1000, mu_dim_0: 100)\n", + "Coordinates:\n", + " * chain (chain) int64 0 1 2 3\n", + " * draw (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999\n", + " * mu_dim_0 (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99\n", + "Data variables:\n", + " alpha (chain, draw) float64 6.93 6.384 7.327 7.802 ... 7.236 6.87 6.73\n", + " beta (chain, draw) float64 3.162 3.247 3.034 ... 3.121 3.147 3.183\n", + " sigma (chain, draw) float64 3.21 3.939 3.982 4.139 ... 3.368 3.617 3.655\n", + " mu (chain, draw, mu_dim_0) float64 6.93 7.25 7.569 ... 38.24 38.56\n", + "Attributes:\n", + " created_at: 2023-02-16T16:21:27.510605\n", + " arviz_version: 0.14.0\n", + " inference_library: stan\n", + " inference_library_version: 3.6.0\n", + " num_chains: 4\n", + " num_samples: 1000\n", + " num_thin: 1\n", + " num_warmup: 1000\n", + " save_warmup: 0" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "posterior = data.posterior\n", + "posterior" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "dc943084", + "metadata": {}, + "outputs": [], + "source": [ + "#observed_data = data.observed_data\n", + "#observed_data" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "ee67d6e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'example0.nc'" + ] + }, + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.to_netcdf(\"example0.nc\")" + ] + }, + { + "cell_type": "markdown", + "id": "be42dae6", + "metadata": {}, + "source": [ + "## Trabalhando com *InferenceData*" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "2bef5f70", + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import numpy as np\n", + "import xarray as xr\n", + "xr.set_options(display_expand_data=False, display_expand_attrs=False);" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "4903af10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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+       "Dimensions:  (school: 8)\n",
+       "Coordinates:\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
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+       "Dimensions:  (school: 8)\n",
+       "Coordinates:\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    scores   (school) float64 ...\n",
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<xarray.Dataset>\n",
+       "Dimensions:  (chain: 4, draw: 500, school: 8)\n",
+       "Coordinates:\n",
+       "  * chain    (chain) int64 0 1 2 3\n",
+       "  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    mu       (chain, draw) float64 ...\n",
+       "    theta    (chain, draw, school) float64 ...\n",
+       "    tau      (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n",
+       "    log_tau  (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495\n",
+       "Attributes: (6)
" + ], + "text/plain": [ + "\n", + "Dimensions: (chain: 4, draw: 500, school: 8)\n", + "Coordinates:\n", + " * chain (chain) int64 0 1 2 3\n", + " * draw (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n", + " * school (school) object 'Choate' 'Deerfield' ... \"St. Paul's\" 'Mt. Hermon'\n", + "Data variables:\n", + " mu (chain, draw) float64 ...\n", + " theta (chain, draw, school) float64 ...\n", + " tau (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n", + " log_tau (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495\n", + "Attributes: (6)" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "post['log_tau'] = np.log(post['tau'])\n", + "idata.posterior" + ] + }, + { + "cell_type": "markdown", + "id": "6b0ad0cc", + "metadata": {}, + "source": [ + "### Combine as cadeias (chains) e amostras (draws) " + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "8059cfb1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.Dataset>\n",
+       "Dimensions:  (sample: 2000, school: 8)\n",
+       "Coordinates:\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "  * sample   (sample) object MultiIndex\n",
+       "  * chain    (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3\n",
+       "  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499\n",
+       "Data variables:\n",
+       "    mu       (sample) float64 7.872 3.385 9.1 7.304 ... 1.859 1.767 3.486 3.404\n",
+       "    theta    (school, sample) float64 12.32 11.29 5.709 ... -2.623 8.452 1.295\n",
+       "    tau      (sample) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n",
+       "    log_tau  (sample) float64 1.553 1.363 1.578 0.6188 ... 1.008 1.076 1.495\n",
+       "Attributes: (6)
" + ], + "text/plain": [ + "\n", + "Dimensions: (sample: 2000, school: 8)\n", + "Coordinates:\n", + " * school (school) object 'Choate' 'Deerfield' ... \"St. Paul's\" 'Mt. Hermon'\n", + " * sample (sample) object MultiIndex\n", + " * chain (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3\n", + " * draw (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499\n", + "Data variables:\n", + " mu (sample) float64 7.872 3.385 9.1 7.304 ... 1.859 1.767 3.486 3.404\n", + " theta (school, sample) float64 12.32 11.29 5.709 ... -2.623 8.452 1.295\n", + " tau (sample) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n", + " log_tau (sample) float64 1.553 1.363 1.578 0.6188 ... 1.008 1.076 1.495\n", + "Attributes: (6)" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stacked = az.extract(idata)\n", + "stacked" + ] + }, + { + "cell_type": "markdown", + "id": "7417bd90", + "metadata": {}, + "source": [ + "### Obtendo um subconjunto aleatório de amostras" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "e9e34c20", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:  (sample: 100, school: 8)\n",
+       "Coordinates:\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "  * sample   (sample) object MultiIndex\n",
+       "  * chain    (sample) int64 2 0 0 2 2 0 3 1 1 2 1 2 ... 0 2 2 0 1 3 3 3 0 0 0 2\n",
+       "  * draw     (sample) int64 80 415 131 327 356 94 ... 438 289 126 438 279 213\n",
+       "Data variables:\n",
+       "    mu       (sample) float64 0.1698 7.208 6.205 1.471 ... 3.105 3.699 -0.455\n",
+       "    theta    (school, sample) float64 3.016 16.78 6.035 ... -1.62 4.491 6.136\n",
+       "    tau      (sample) float64 1.93 3.099 2.362 2.124 ... 2.216 3.228 2.405 4.897\n",
+       "    log_tau  (sample) float64 0.6576 1.131 0.8595 0.7535 ... 1.172 0.8775 1.589\n",
+       "Attributes: (6)
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+       "Dimensions:  (sample: 2000, school: 8)\n",
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+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
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+       "  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499\n",
+       "Data variables:\n",
+       "    mu       (sample) float64 7.872 3.385 9.1 7.304 ... 1.859 1.767 3.486 3.404\n",
+       "    theta    (school, sample) float64 12.32 11.29 5.709 ... -2.623 8.452 1.295\n",
+       "    tau      (sample) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n",
+       "    log_tau  (sample) float64 1.553 1.363 1.578 0.6188 ... 1.008 1.076 1.495\n",
+       "Attributes: (6)
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+       "  * chain    (sample) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 3 3 3 3 3 3 3 3 3 3 3 3\n",
+       "  * draw     (sample) int64 0 1 2 3 4 5 6 7 ... 492 493 494 495 496 497 498 499
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" + ], + "text/plain": [ + "\n", + "Dimensions: (school: 8)\n", + "Coordinates:\n", + " * school (school) object 'Choate' 'Deerfield' ... \"St. Paul's\" 'Mt. Hermon'\n", + "Data variables:\n", + " mu float64 4.486\n", + " theta (school) float64 6.46 5.028 3.938 4.872 3.667 3.975 6.581 4.772\n", + " tau float64 4.124\n", + " log_tau float64 1.173" + ] + }, + "execution_count": 184, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Calculandoa média apenas das dimensões 'chain' e 'draw'\n", + "idata.posterior.mean(dim=['chain', 'draw'])" + ] + }, + { + "cell_type": "markdown", + "id": "cbbb5636", + "metadata": {}, + "source": [ + "### Calculando e armazenando a posteriori \"pushforward\" das quantidades" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "c91355a4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:  (chain: 4, draw: 500, school: 8)\n",
+       "Coordinates:\n",
+       "  * chain    (chain) int64 0 1 2 3\n",
+       "  * draw     (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n",
+       "  * school   (school) object 'Choate' 'Deerfield' ... "St. Paul's" 'Mt. Hermon'\n",
+       "Data variables:\n",
+       "    mu       (chain, draw) float64 7.872 3.385 9.1 7.304 ... 1.767 3.486 3.404\n",
+       "    theta    (chain, draw, school) float64 12.32 9.905 14.95 ... 6.762 1.295\n",
+       "    tau      (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n",
+       "    log_tau  (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495\n",
+       "    mlogtau  (chain, draw) float64 nan nan nan nan ... 1.492 1.494 1.496 1.511\n",
+       "Attributes: (6)
" + ], + "text/plain": [ + "\n", + "Dimensions: (chain: 4, draw: 500, school: 8)\n", + "Coordinates:\n", + " * chain (chain) int64 0 1 2 3\n", + " * draw (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n", + " * school (school) object 'Choate' 'Deerfield' ... \"St. Paul's\" 'Mt. Hermon'\n", + "Data variables:\n", + " mu (chain, draw) float64 7.872 3.385 9.1 7.304 ... 1.767 3.486 3.404\n", + " theta (chain, draw, school) float64 12.32 9.905 14.95 ... 6.762 1.295\n", + " tau (chain, draw) float64 4.726 3.909 4.844 1.857 ... 2.741 2.932 4.461\n", + " log_tau (chain, draw) float64 1.553 1.363 1.578 ... 1.008 1.076 1.495\n", + " mlogtau (chain, draw) float64 nan nan nan nan ... 1.492 1.494 1.496 1.511\n", + "Attributes: (6)" + ] + }, + "execution_count": 188, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Média móvel do log_tau de 50 posições\n", + "post[\"mlogtau\"] = post[\"log_tau\"].rolling({'draw': 50}).mean()\n", + "post" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/Survival Analysis.ipynb b/_sources/Survival Analysis.ipynb new file mode 100644 index 0000000..e2f6c19 --- /dev/null +++ b/_sources/Survival Analysis.ipynb @@ -0,0 +1,884 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "994d8a1f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f660b457", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fab1c105", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0f3f7b48", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "9d3fe672", + "metadata": {}, + "source": [ + "# Análise de Sobrevivência" + ] + }, + { + "cell_type": "markdown", + "id": "a7c3595c", + "metadata": {}, + "source": [ + "Análise de sobrevivência, também denominada análise de sobrevida[1], é um ramo da estatística que estuda o tempo de duração esperado até a ocorrência de um ou mais eventos, tais como morte em organismos biológicos e falha em sistemas mecânicos.\n", + "\n", + "A análise de sobrevivência procura responder perguntas como: \n", + "\n", + "- Qual é a proporção de uma população que sobreviverá depois de um certo tempo? \n", + "\n", + "- Daqueles que sobrevivem, a que ritmo eles vão morrer ou falhar? \n", + "\n", + "- Podem várias causas de morte ou falha ser levado em conta? \n", + "\n", + "- Como circunstâncias ou características específicas aumentam ou diminuem a probabilidade de sobrevivência?\n", + "\n", + "#### Definições de termos comuns na análise de sobrevivência\n", + "Os seguintes termos são comumente usados em análises de sobrevivência:\n", + "\n", + "- EVENTO - Morte, ocorrência de doença, recorrência da doença, recuperação ou outra experiência de interesse\n", + "\n", + "\n", + "- TEMPO - O tempo desde o início de um período de observação (como cirurgia ou início de tratamento) até (i) ocorrer um evento, ou (ii) finalizar o estudo, ou (iii) ocorrer a perda de contato ou retirada do estudo.\n", + "\n", + "\n", + "- CENSURA - Se um sujeito não experimenta um evento durante o tempo de observação ele será descrito como censurado. O sujeito é censurado no sentido em que nada é observado ou conhecido sobre ele após o tempo de censura. Um sujeito censurado pode ou não ter um evento após o final tempo de observação.\n", + "\n", + "\n", + "- FUNÇÃO DE SOBREVIVÊNCIA - É uma função, S, que associa a cada tempo t o número S (t) que é a probabilidade de que um sujeito sobreviva além do tempo t." + ] + }, + { + "cell_type": "markdown", + "id": "33cd8495", + "metadata": {}, + "source": [ + "Ref: [Um modelo de sobrevivência em Stan - Eren M. Elçi](https://ermeel86.github.io/case_studies/surv_stan_example.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1e29dffc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " time event metastized\n", + "0 23 1 0\n", + "1 47 1 0\n", + "2 69 1 0\n", + "3 70 0 0\n", + "4 100 0 0\n", + "5 101 0 0\n", + "6 148 1 0\n", + "7 181 1 0\n", + "8 198 0 0\n", + "9 208 0 0" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/mastectomy.csv', sep=\",\")\n", + "df['event'] = [ 1 if event_i == True else 0 for event_i in df['event'] ]\n", + "df.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "abf3d057", + "metadata": {}, + "source": [ + "Mais precisamente, cada linha no conjunto de dados representa observações de uma mulher com diagnóstico de câncer de mama que foi submetida a mastectomia." + ] + }, + { + "cell_type": "markdown", + "id": "6c3f1ba8", + "metadata": {}, + "source": [ + "Legenda:\n", + "\n", + "- A coluna `time` representa o tempo (em meses) pós-operatório em que a mulher foi observada.\n", + "\n", + "\n", + "- A coluna `event` indica se a mulher morreu ou não durante o período de observação.\n", + "\n", + "\n", + "- A coluna `metastized` representa se o câncer tinha metástase antes da cirurgia." + ] + }, + { + "cell_type": "markdown", + "id": "2dc5d140", + "metadata": {}, + "source": [ + "### Descritiva" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cb3dc074", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " time \\\n", + " count mean std min 25% 50% 75% \n", + "metastized event \n", + "0 0 7.0 159.000000 65.475186 70.0 100.5 198.0 210.0 \n", + " 1 5.0 93.600000 67.748063 23.0 47.0 69.0 148.0 \n", + "1 0 11.0 151.090909 52.673436 76.0 108.0 145.0 200.0 \n", + " 1 21.0 48.000000 37.753146 5.0 24.0 40.0 61.0 \n", + "\n", + " \n", + " max \n", + "metastized event \n", + "0 0 224.0 \n", + " 1 181.0 \n", + "1 0 225.0 \n", + " 1 143.0 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(by=['metastized', 'event']).describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a4b9c96d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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sbBUWFjr377nnHv3444+aNm2aHA6HevXqpZUrV561EBcAADRONsuyLG8XcbGKi4sVFBSkzMxMtWrVytvlAADqqdsW5Xq7BK9YNqK9Vx63pKREdrtdRUVF51yPyncJAQAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMV+vAsnbtWg0dOlTh4eGy2WxKT093tpWXl2vy5Mnq0aOHWrZsqfDwcI0cOVIHDx6scc7p06fLZrO5bJGRkbV+MgAAoGGqdWApLS1VVFSU5syZc1bb8ePHtXnzZk2dOlWbN2/W+++/r507d+qXv/zlOee9+uqrlZ+f79y++uqr2pYGAAAaqCa1HZCQkKCEhIQq24KCgrRq1SqXY7Nnz1afPn2Ul5enK664ovpCmjRRaGhobcsBAACNgMfXsBQVFclms6l169Y19tu9e7fCw8PVqVMnDR8+XHl5edX2LSsrU3FxscsGAAAaLo8GlpMnT2ry5MlKSkpSYGBgtf1iY2OVlpamlStXau7cucrJydEvfvELHTt2rMr+qampCgoKcm4RERGeegoAAMAAHgss5eXluvvuu2VZlubOnVtj34SEBN11113q2bOn4uPjtWLFCh09elR///vfq+yfkpKioqIi57Z//35PPAUAAGCIWq9hOR9nwkpubq4+//zzGq+uVKV169bq2rWr9uzZU2W7n5+f/Pz83FEqAACoB9x+heVMWNm9e7c+++wztWnTptZzlJSUKDs7W2FhYe4uDwAA1EO1DiwlJSXKyspSVlaWJCknJ0dZWVnKy8tTeXm5fvWrX2njxo169913VVFRIYfDIYfDoVOnTjnnGDRokGbPnu3cnzRpktasWaN9+/Zp3bp1uuOOO+Tr66ukpKSLf4YAAKDeq/VbQhs3btTAgQOd+8nJyZKkUaNGafr06froo48kSb169XIZ98UXX2jAgAGSpOzsbBUWFjrbDhw4oKSkJB0+fFjBwcG68cYbtX79egUHB9e2PAAA0ADVOrAMGDBAlmVV215T2xn79u1z2V+yZEltywAAAI0I3yUEAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxmvi7QIAwGS3Lcr1dglesWxEe2+XALjgCgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjFfrwLJ27VoNHTpU4eHhstlsSk9Pd2m3LEvTpk1TWFiYmjdvrri4OO3evfuc886ZM0cdOnSQv7+/YmNj9c0339S2NAAA0EDVOrCUlpYqKipKc+bMqbL9xRdf1Ouvv6558+bp66+/VsuWLRUfH6+TJ09WO+fSpUuVnJysZ555Rps3b1ZUVJTi4+N16NCh2pYHAAAaoFoHloSEBD3//PO64447zmqzLEuvvvqqpkyZottvv109e/bUO++8o4MHD551JeZ/vfLKKxo3bpzGjBmj7t27a968eWrRooXmz59f2/IAAEAD5NY1LDk5OXI4HIqLi3MeCwoKUmxsrDIzM6scc+rUKW3atMlljI+Pj+Li4qodAwAAGpcm7pzM4XBIkkJCQlyOh4SEONt+rrCwUBUVFVWO2bFjR5VjysrKVFZW5twvLi6+mLIBAIDh6uVdQqmpqQoKCnJuERER3i4JAAB4kFsDS2hoqCSpoKDA5XhBQYGz7efatm0rX1/fWo1JSUlRUVGRc9u/f78bqgcAAKZya2Dp2LGjQkNDlZGR4TxWXFysr7/+Wna7vcoxzZo1U0xMjMuYyspKZWRkVDvGz89PgYGBLhsAAGi4ar2GpaSkRHv27HHu5+TkKCsrS5deeqmuuOIKTZw4Uc8//7y6dOmijh07aurUqQoPD1diYqJzzKBBg3THHXdowoQJkqTk5GSNGjVK1157rfr06aNXX31VpaWlGjNmzMU/QwAAUO/VOrBs3LhRAwcOdO4nJydLkkaNGqW0tDQ9+eSTKi0t1QMPPKCjR4/qxhtv1MqVK+Xv7+8ck52drcLCQuf+Pffcox9//FHTpk2Tw+FQr169tHLlyrMW4gIAgMbJZlmW5e0iLlZxcbGCgoKUmZmpVq1aebscAA3IbYtyvV2CVywb0d7bJXgF57tulZSUyG63q6io6JzLO+rlXUIAAKBxIbAAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABjP7YGlQ4cOstlsZ23jx4+vsn9aWtpZff39/d1dFgAAqMeauHvCDRs2qKKiwrm/bds23XzzzbrrrruqHRMYGKidO3c69202m7vLAgAA9ZjbA0twcLDL/h//+Ed17txZ/fv3r3aMzWZTaGiou0sBAAANhEfXsJw6dUqLFi3Sb37zmxqvmpSUlKh9+/aKiIjQ7bffru+++86TZQEAgHrGo4ElPT1dR48e1ejRo6vtc9VVV2n+/Pn68MMPtWjRIlVWVqpv3746cOBAtWPKyspUXFzssgEAgIbLo4HlL3/5ixISEhQeHl5tH7vdrpEjR6pXr17q37+/3n//fQUHB+vNN9+sdkxqaqqCgoKcW0REhCfKBwAAhvBYYMnNzdVnn32m+++/v1bjmjZtqujoaO3Zs6faPikpKSoqKnJu+/fvv9hyAQCAwTwWWBYsWKB27drp1ltvrdW4iooKbd26VWFhYdX28fPzU2BgoMsGAAAaLo8ElsrKSi1YsECjRo1SkyauNyKNHDlSKSkpzv3nnntOn376qfbu3avNmzdrxIgRys3NrfWVGQAA0HC5/bZmSfrss8+Ul5en3/zmN2e15eXlycfnvznpyJEjGjdunBwOhy655BLFxMRo3bp16t69uydKAwAA9ZBHAsvgwYNlWVaVbatXr3bZnzVrlmbNmuWJMgAAQAPBdwkBAADjEVgAAIDxPPKWUGNz26Jcb5fgFctGtPd2CQCARoIrLAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGM/tgWX69Omy2WwuW2RkZI1j3nvvPUVGRsrf3189evTQihUr3F0WAACoxzxyheXqq69Wfn6+c/vqq6+q7btu3TolJSVp7Nix+ve//63ExEQlJiZq27ZtnigNAADUQx4JLE2aNFFoaKhza9u2bbV9X3vtNQ0ZMkRPPPGEunXrphkzZqh3796aPXu2J0oDAAD1kEcCy+7duxUeHq5OnTpp+PDhysvLq7ZvZmam4uLiXI7Fx8crMzPTE6UBAIB6qIm7J4yNjVVaWpquuuoq5efn69lnn9UvfvELbdu2TQEBAWf1dzgcCgkJcTkWEhIih8NR7WOUlZWprKzMuV9cXOy+JwAAAIzj9sCSkJDg/P+ePXsqNjZW7du319///neNHTvWLY+RmpqqZ5991i1zAbV126Jcb5fgFctGtPd2CQAaMY/f1ty6dWt17dpVe/bsqbI9NDRUBQUFLscKCgoUGhpa7ZwpKSkqKipybvv373drzQAAwCweDywlJSXKzs5WWFhYle12u10ZGRkux1atWiW73V7tnH5+fgoMDHTZAABAw+X2wDJp0iStWbNG+/bt07p163THHXfI19dXSUlJkqSRI0cqJSXF2f/RRx/VypUr9fLLL2vHjh2aPn26Nm7cqAkTJri7NAAAUE+5fQ3LgQMHlJSUpMOHDys4OFg33nij1q9fr+DgYElSXl6efHz+m5P69u2rxYsXa8qUKfr973+vLl26KD09Xddcc427SwMAAPWU2wPLkiVLamxfvXr1Wcfuuusu3XXXXe4uBQAANBB8lxAAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHhuDyypqam67rrrFBAQoHbt2ikxMVE7d+6scUxaWppsNpvL5u/v7+7SAABAPeX2wLJmzRqNHz9e69ev16pVq1ReXq7BgwertLS0xnGBgYHKz893brm5ue4uDQAA1FNN3D3hypUrXfbT0tLUrl07bdq0Sf369at2nM1mU2hoqLvLAQAADYDH17AUFRVJki699NIa+5WUlKh9+/aKiIjQ7bffru+++67avmVlZSouLnbZAABAw+XRwFJZWamJEyfqhhtu0DXXXFNtv6uuukrz58/Xhx9+qEWLFqmyslJ9+/bVgQMHquyfmpqqoKAg5xYREeGppwAAAAzg0cAyfvx4bdu2TUuWLKmxn91u18iRI9WrVy/1799f77//voKDg/Xmm29W2T8lJUVFRUXObf/+/Z4oHwAAGMLta1jOmDBhgpYtW6a1a9fq8ssvr9XYpk2bKjo6Wnv27Kmy3c/PT35+fu4oEwAA1ANuv8JiWZYmTJigDz74QJ9//rk6duxY6zkqKiq0detWhYWFubs8AABQD7n9Csv48eO1ePFiffjhhwoICJDD4ZAkBQUFqXnz5pKkkSNH6rLLLlNqaqok6bnnntP111+vK6+8UkePHtWf/vQn5ebm6v7773d3eQAAoB5ye2CZO3euJGnAgAEuxxcsWKDRo0dLkvLy8uTj89+LO0eOHNG4cePkcDh0ySWXKCYmRuvWrVP37t3dXR4AAKiH3B5YLMs6Z5/Vq1e77M+aNUuzZs1ydykAAKCB4LuEAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADG81hgmTNnjjp06CB/f3/Fxsbqm2++qbH/e++9p8jISPn7+6tHjx5asWKFp0oDAAD1jEcCy9KlS5WcnKxnnnlGmzdvVlRUlOLj43Xo0KEq+69bt05JSUkaO3as/v3vfysxMVGJiYnatm2bJ8oDAAD1jEcCyyuvvKJx48ZpzJgx6t69u+bNm6cWLVpo/vz5VfZ/7bXXNGTIED3xxBPq1q2bZsyYod69e2v27NmeKA8AANQzTdw94alTp7Rp0yalpKQ4j/n4+CguLk6ZmZlVjsnMzFRycrLLsfj4eKWnp1fZv6ysTGVlZc79oqIiSVJpaelFVn9hKsuOe+Vxva2kpMTbJXgF57tx4Xw3LpzvunXm97ZlWefs6/bAUlhYqIqKCoWEhLgcDwkJ0Y4dO6oc43A4quzvcDiq7J+amqpnn332rONxcXEXWDUuhP1Vb1eAusT5blw4342Lt8/3sWPHFBQUVGMftweWupCSkuJyRaayslI//fST2rRpI5vN5sXK6lZxcbEiIiK0f/9+BQYGersceBjnu3HhfDcujfV8W5alY8eOKTw8/Jx93R5Y2rZtK19fXxUUFLgcLygoUGhoaJVjQkNDa9Xfz89Pfn5+Lsdat2594UXXc4GBgY3qD3hjx/luXDjfjUtjPN/nurJyhtsX3TZr1kwxMTHKyMhwHqusrFRGRobsdnuVY+x2u0t/SVq1alW1/QEAQOPikbeEkpOTNWrUKF177bXq06ePXn31VZWWlmrMmDGSpJEjR+qyyy5TamqqJOnRRx9V//799fLLL+vWW2/VkiVLtHHjRr311lueKA8AANQzHgks99xzj3788UdNmzZNDodDvXr10sqVK50La/Py8uTj89+LO3379tXixYs1ZcoU/f73v1eXLl2Unp6ua665xhPlNRh+fn565plnznp7DA0T57tx4Xw3Lpzvc7NZ53MvEQAAgBfxXUIAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxXLz+avzH6/vvvtWTJEn355ZfKzc3V8ePHFRwcrOjoaMXHx2vYsGHcDteAlZWVcX4bEc5341BeXi6Hw+H8+/zSSy/1dklG4wqL4TZv3qy4uDhFR0frq6++UmxsrCZOnKgZM2ZoxIgRsixLTz/9tMLDwzVz5kyXb7FG/fXxxx9r1KhR6tSpk5o2baoWLVooMDBQ/fv31x/+8AcdPHjQ2yXCjTjfjcexY8c0d+5c9e/fX4GBgerQoYO6deum4OBgtW/fXuPGjdOGDRu8XaaR+BwWw3Xs2FFPPPGEfv3rX9f4fUmZmZl67bXX1LNnT/3+97+vuwLhVh988IEmT56sY8eO6ZZbblGfPn0UHh6u5s2b66efftK2bdv05ZdfKjMzU6NHj9aMGTMUHBzs7bJxgTjfjcsrr7yiP/zhD+rcubOGDh1a7flOT09XbGys/vznP6tLly7eLtsYBBbDlZeXq2nTph7rD7PY7XZNmTJFCQkJLp8G/XM//PCD/vznPyskJESPPfZYHVYId+J8Ny5JSUmaMmWKrr766hr7lZWVacGCBWrWrJl+85vf1FF15iOwAAAA47Hotp4oLCzU/PnzlZmZKYfDIUkKDQ1V3759NXr0aC4TAwAaNBbd1gMbNmxQ165d9frrrysoKEj9+vVTv379FBQUpNdff12RkZHauHGjt8tEHdm/fz+XiRuY7du366GHHlJ0dLTCwsIUFham6OhoPfTQQ9q+fbu3y0Mdys7O1k033eTtMozEW0L1wPXXX6+oqCjNmzdPNpvNpc2yLP3ud7/Tt99+q8zMTC9ViLq0ZcsW9e7dWxUVFd4uBW7w8ccfKzExUb1791Z8fLzzW+0LCgq0atUqbdq0SR9++KHi4+O9XCnqAj/f1SOw1APNmzfXv//9b0VGRlbZvmPHDkVHR+vEiRN1XBk84aOPPqqxfe/evXr88cf5C62BiIqK0u23367nnnuuyvbp06fr/fff17ffflvHlcETXn/99Rrbf/jhB7300kv8fFeBNSz1QGhoqL755ptqA8s333zj/FcZ6r/ExETZbDbV9G+Jn19pQ/21a9cuDR8+vNr2pKQkzZw5sw4rgidNnDhRYWFhatasWZXtp06dquOK6g8CSz0wadIkPfDAA9q0aZMGDRrkcsk4IyNDb7/9tl566SUvVwl3CQsL0xtvvKHbb7+9yvasrCzFxMTUcVXwlA4dOmj58uW66qqrqmxfvny52rdvX8dVwVPat2+vmTNn6u67766ynZ/v6hFY6oHx48erbdu2mjVrlt544w3npUJfX1/FxMQoLS2t2j/8qH9iYmK0adOmagPLua6+oH557rnn9Otf/1qrV69WXFzcWf8gWblypRYvXuzlKuEuZ36+q/s7m5/v6rGGpZ4pLy9XYWGhJKlt27Z8SFwD9OWXX6q0tFRDhgypsr20tFQbN25U//7967gyeMq6dev0+uuvn/WxBXa7XY8++qjsdruXK4S7bN++XcePH9e1115bZXt5ebkOHjzIVbUqEFgAAIDx+BwWAABgPAILAAAwHoEFAAAYj8ACAACMR2BpINauXauioiJvlwEAgEcQWBqIAQMGqFOnTnr55Ze9XQrqAAG1cXnnnXeUnZ3t7TJQRzjfVSOwNBA5OTn6xz/+oYKCAm+XgjpAQG1cRo8ere7du+vhhx/2dimoA5zvqvFJtw1E+/bt1b59ew0cONDbpaAO5OTkaO/evfr444+9XQrqQGVlpXJycjjfjQTnu2p8cFw9cvr0aX333Xcun4TZvXt3Pu0WANDgcYWlHqisrNS0adM0Z86cs9YtBAUFacKECXr22Wfl48M7fA0JARXSf/4cHDx4UFdccYW3S0Ed4HxXj99w9cBTTz2lt956S3/84x+1d+9elZaWqrS0VHv37tXMmTP11ltvKSUlxdtlwk0qKys1ZcoUBQcHKzo6WgkJCUpISFB0dLTatWunqVOnqrKy0ttloo5899136tixo7fLQB3hfFePKyz1wDvvvKO//vWvio+PdzneoUMHPfDAA2rfvr1GjhypmTNneqlCuNNTTz2ltLQ0/fGPf1R8fLzLt/d++umnmjp1qk6dOsX5BtCosIalHmjZsqXWr1+vHj16VNn+7bffqm/fviopKanjyuAJoaGhWrhw4VkB9YxPPvlEI0eO5I6wBqJ37941tp84cUK7du1SRUVFHVUET+J8XziusNQDAwYM0KRJk/Tuu++qbdu2Lm2FhYWaPHmyBgwY4J3i4HbHjh1TeHh4te1hYWEqLS2tw4rgSdu3b9e9995b7dsA+fn52rVrVx1XBU/hfF84rrDUA/v379ctt9yiHTt2qEePHi5vEWzdulXdu3fXsmXLFBER4eVK4Q633nqrTp8+XW1Ave++++Tr66tly5Z5qUK407XXXquxY8fqwQcfrLI9KytLMTEx/Iu7geB8XziusNQDERER2rJliz755BOtX7/eeddInz599MILL2jw4MHcIdSAzJs3T7fccovCwsJqDKhoGG644Qbt3Lmz2vaAgAD169evDiuCJ3G+LxxXWAADVVZWnhVQQ0NDZbfbCagAGiUCi+Hy8vJqdT/+Dz/8oMsuu8yDFQEAUPf4Z5rhrrvuOv32t7/Vhg0bqu1TVFSkt99+W9dcc43++c9/1mF1cLe8vLxa9f/hhx88VAnqAue7ceF8XxwCi+G2b9+uli1b6uabb1ZoaKhuvfVWjRs3Tg8//LBGjBih3r17q127dpo/f75efPFFPfLII94uGReBgNq4cL4bF873xeEtoXrixIkTWr58ub766ivl5ubqxIkTatu2raKjoxUfH69rrrnG2yXCDQ4fPqw//OEPmj9/vvz9/RUTE6Pw8HD5+/vryJEj2r59u7777jv17t1bU6dO1S233OLtknERON+NC+f74hBYAAMRUBsXznfjwvm+MAQWAABgPNawAAAA4xFYAACA8QgsAADAeAQWAABgPAILAK+w2WxKT0/32PyrV6+WzWbT0aNHPfYYAOoOgQWA04ABAzRx4kS3zjl9+nT16tXrrOP5+flKSEhw62PVV54Ob0BDwLc1A/CK0NBQb5cAoB7hCgtQTw0YMEAPP/ywJk6cqEsuuUQhISF6++23VVpaqjFjxiggIEBXXnmlPv74Y+eYbdu2KSEhQa1atVJISIjuu+8+FRYWSpJGjx6tNWvW6LXXXpPNZpPNZtO+fftUUVGhsWPHqmPHjmrevLmuuuoqvfbaay61rF69Wn369FHLli3VunVr3XDDDcrNzVVaWpqeffZZbdmyxTlnWlqaJNerCtOnT3e2/+92pm9lZaVSU1OdNURFRekf//iHSw0rVqxQ165d1bx5cw0cOFD79u0752t49OhR3X///QoODlZgYKBuuukmbdmyRZK0a9cu2Ww27dixw2XMrFmz1Llz5/N6Tc+cp0ceeURPPvmkLr30UoWGhmr69OnO9g4dOkiS7rjjDtlsNuc+gJ+xANRL/fv3twICAqwZM2ZYu3btsmbMmGH5+vpaCQkJ1ltvvWXt2rXLevDBB602bdpYpaWl1pEjR6zg4GArJSXF+v77763NmzdbN998szVw4EDLsizr6NGjlt1ut8aNG2fl5+db+fn51unTp61Tp05Z06ZNszZs2GDt3bvXWrRokdWiRQtr6dKllmVZVnl5uRUUFGRNmjTJ2rNnj7V9+3YrLS3Nys3NtY4fP249/vjj1tVXX+2c8/jx45ZlWZYk64MPPrAsy7KOHTvmbM/Pz7deeuklq0WLFtbWrVsty7Ks559/3oqMjLRWrlxpZWdnWwsWLLD8/Pys1atXW5ZlWXl5eZafn5+VnJxs7dixw1q0aJEVEhJiSbKOHDlS7WsYFxdnDR061NqwYYO1a9cu6/HHH7fatGljHT582LIsy7r22mutKVOmuIyJiYlxHjvXa3rmPAUGBlrTp0+3du3aZS1cuNCy2WzWp59+almWZR06dMiSZC1YsMDKz8+3Dh06dDF/LIAGi8AC1FP9+/e3brzxRuf+6dOnrZYtW1r33Xef81h+fr4lycrMzLRmzJhhDR482GWO/fv3W5KsnTt3Oud89NFHz/nY48ePt4YNG2ZZlmUdPnzYkuQMDz/3zDPPWFFRUWcd/9/A8r8yMzMtf39/ZyA6efKk1aJFC2vdunUu/caOHWslJSVZlmVZKSkpVvfu3V3aJ0+eXGNg+fLLL63AwEDr5MmTLsc7d+5svfnmm5ZlWdasWbOszp07O9t27txpSbK+//57y7Ks835N//c8WZZlXXfdddbkyZPP+VoA+C/WsAD1WM+ePZ3/7+vrqzZt2qhHjx7OYyEhIZKkQ4cOacuWLfriiy/UqlWrs+bJzs5W165dq32cOXPmaP78+crLy9OJEyd06tQp50LaSy+9VKNHj1Z8fLxuvvlmxcXF6e6771ZYWFitn09eXp4SExM1adIk3X333ZKkPXv26Pjx47r55ptd+p46dUrR0dGSpO+//16xsbEu7Xa7vcbH2rJli0pKStSmTRuX4ydOnFB2drYk6d5779WkSZO0fv16XX/99Xr33XfVu3dvRUZGOuc4n9f0f8+TJIWFhenQoUM11gfAFYEFqMeaNm3qsm+z2VyO2Ww2Sf9ZA1JSUqKhQ4dq5syZZ81TU7hYsmSJJk2apJdffll2u10BAQH605/+pK+//trZZ8GCBXrkkUe0cuVKLV26VFOmTNGqVat0/fXXn/dzKS0t1S9/+UvZ7XY999xzzuMlJSWSpOXLl+uyyy5zGePn53fe8/9cSUmJwsLCtHr16rPaWrduLek/C4NvuukmLV68WNdff70WL16sBx980GWO83lNqzpPlZWVF1w70BgRWIBGonfv3vrnP/+pDh06qEmTqn/0mzVrpoqKCpdj//rXv9S3b1899NBDzmNnrkD8r+joaEVHRyslJUV2u935S76qOX/OsiyNGDFClZWV+utf/+oMWpLUvXt3+fn5KS8vT/37969yfLdu3fTRRx+5HFu/fn2Nj9m7d285HA41adKkxoWuw4cP15NPPqmkpCTt3btX9957r8sc53pNz0fTpk3P+RoBjR13CQGNxPjx4/XTTz8pKSlJGzZsUHZ2tj755BONGTPG+cuyQ4cO+vrrr7Vv3z4VFhaqsrJSXbp00caNG/XJJ59o165dmjp1qjZs2OCcNycnRykpKcrMzFRubq4+/fRT7d69W926dXPOmZOTo6ysLBUWFqqsrOys2qZPn67PPvtMb775pkpKSuRwOORwOHTixAkFBARo0qRJeuyxx7Rw4UJlZ2dr8+bN+vOf/6yFCxdKkn73u99p9+7deuKJJ7Rz504tXrzYeYdRdeLi4mS325WYmKhPP/1U+/bt07p16/T0009r48aNzn533nmnjh07pgcffFADBw5UeHh4rV7T89GhQwdlZGTI4XDoyJEj5z0OaEwILEAjER4ern/961+qqKjQ4MGD1aNHD02cOFGtW7eWj89//iqYNGmSfH191b17dwUHBysvL0+//e1vdeedd+qee+5RbGysDh8+7HK1pUWLFtqxY4eGDRumrl276oEHHtD48eP129/+VpI0bNgwDRkyRAMHDlRwcLD+9re/nVXbmjVrVFJSor59+yosLMy5LV26VJI0Y8YMTZ06VampqerWrZuGDBmi5cuXq2PHjpKkK664Qv/85z+Vnp6uqKgozZs3Ty+88MJZj/Pz26pXrFihfv36acyYMeratavuvfde5ebmOtf+SFJAQICGDh2qLVu2aPjw4bV+Tc/Hyy+/rFWrVikiIsK5LgeAK5tlWZa3iwAAT8vJyVHXrl21fft2denSxdvlAKglrrAAaBRWrFihBx54gLAC1FNcYQEAAMbjCgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGO//A3ee0V9HfqmMAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.groupby(by=['metastized', 'event']).count().plot.bar()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b06f73f2", + "metadata": {}, + "source": [ + "### Modelo" + ] + }, + { + "cell_type": "markdown", + "id": "197b7d35", + "metadata": {}, + "source": [ + "Função de sobrevivência $S(t)$:\n", + "\n", + "$$ S(t) = \\mathbb{P} (T > t) = e^{-H(t)} $$\n", + "\n", + "\n", + "$T :=$ é o tempo de sobrevivência de um indivíduo.\n", + "\n", + "$(T > t):=$ Tempo ($T$) que o paciente sobreviveu além do tempo $t$.\n", + "\n", + "$H(t):=$ definido como perigo acumulado.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cdece00f", + "metadata": {}, + "outputs": [], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N_uncensored; // Number of individuals not censured - event == 1\n", + " int N_censored; // Number of individuals censured - event == 0\n", + " int NC; // Number of covariates\n", + " \n", + " matrix[N_censored, NC] X_censored;\n", + " matrix[N_uncensored, NC] X_uncensored;\n", + " \n", + " vector[N_censored] times_censored; // time to censured event \n", + " vector[N_uncensored] times_uncensored; // // time to non-censured event\n", + " }\n", + " \n", + " parameters {\n", + " vector[NC] betas;\n", + " real intercept;\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " betas ~ normal(0,2); \n", + " intercept ~ normal(-5,2); \n", + " \n", + " // Likelihood\n", + " target += exponential_lpdf(times_uncensored | exp(intercept + X_uncensored * betas)); \n", + " target += exponential_lccdf(times_censored | exp(intercept + X_censored * betas)); \n", + " }\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0f05cc70", + "metadata": {}, + "outputs": [], + "source": [ + "# Build the data dict to stan\n", + "covariates_name = ['metastized'] # From the inputs user\n", + "\n", + "\n", + "dat_list = {\n", + " 'N_uncensored': len(df[df['event'] == 1]),\n", + " 'N_censored': len(df[df['event'] == 0]),\n", + " 'NC': len(covariates_name),\n", + " 'X_censored': np.matrix(df.loc[df['event'] == 0, covariates_name]),\n", + " 'X_uncensored': np.matrix(df.loc[df['event'] == 1, covariates_name]),\n", + " 'times_censored': df.loc[df['event'] == 0, 'time'].values,\n", + " 'times_uncensored': df.loc[df['event'] == 1, 'time'].values\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0f9ec567", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000103 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[6] is inf, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 7.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.76 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000102 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Inverse scale parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_1vlc05hd/model_bjuobplk.stan', line 25, column 8 to column 93)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a74c0fe4", + "metadata": {}, + "outputs": [], + "source": [ + "survival = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(dat_list.keys())\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e9b3a62a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
betas[0]0.8810.4580.0551.7750.0160.012922.01124.01.01
intercept-5.7650.410-6.534-5.0210.0140.0101000.0962.01.01
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "betas[0] 0.881 0.458 0.055 1.775 0.016 0.012 922.0 \n", + "intercept -5.765 0.410 -6.534 -5.021 0.014 0.010 1000.0 \n", + "\n", + " ess_tail r_hat \n", + "betas[0] 1124.0 1.01 \n", + "intercept 962.0 1.01 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(survival)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "99f438cf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(survival, var_names=['betas', 'intercept'], combined=True, figsize=(17, 5), hdi_prob=0.89)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "b88b8389", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'status': 'done'}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import json\n", + "\n", + "a = {\n", + " 'status': \"done\"\n", + "}\n", + "\n", + "aaa = json.dumps(a)\n", + "json.loads(aaa)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "aaef5014", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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YP38+fr+fcDhMU1NT5Txer5c//dM/rbzf1dXFpk2bePzxx7n22mvJZDKkUile85rXMGfOHAAWLlxYOX8kEsHr9VZd50tFIhEix2/3pk2b+OIXv8inP/1plixZQrFY5Gtf+xpf+cpXWLNmDQBz5sxh48aN/OAHP+DKK6/koYceYs6cOfzFX/wFAAsWLGDPnj184xvfqByjubmZhx9++LSfz2QyedqPTxaFrCIiIiIiIiIiIpNkyZIllf97vV7q6uqqTmtsbARgcHCQXbt28dxzz3HVVVeddD2HDh1i/vz5L3ucBx98kB/96Ef09vaSz+cplUosX74ccIPJ6667jnvuuYerr76aV77ylbzpTW+iubn5nG9PT08PH/nIR7j99tu59tprATh48CC5XI4PfOADVectlUqsWLECgH379lXqCMpWr15d9b7P52Pu3LnnvKZaUMgqIiIiIiIiIiLTmhMOs+3ZZ2t27HPh9/ur3jcMA5/PV/U+gG3bZLNZXvva1/LRj370pOs53ZTpL37xCz7/+c/zsY99jNWrVxONRvnmN7/Jli1bKuf59Kc/zXve8x6eeuopHnvsMb74xS/yla985aSg83Sy2Swf/vCHWb16daWuoHw6wJe+9CVaW1urLnMuG2epLkBERERERERERGSyGMY5vWR/uli5ciW//OUv6ejoqApiT+T3+7Esq+q0jRs3smbNGm699dbKaYcOHTrpsitWrGDFihXcddddvOc97+HRRx9l9erVp7zOl3Ich3vvvRfbtvnMZz5TCYcBFi1aRCAQoLe3lyuvvPKUl1+4cCFPPvlk1WmbN2+uel91ASIiIiIiIiIiInJBbr31Vn74wx/y8Y9/nDvvvJNkMsnBgwf5xS9+wSc/+Um8Xi8dHR1s2bKF7u5uIpEIyWSSefPm8cgjj/DUU0/R2dnJI488wrZt2+js7ATg8OHDPPzww7z2ta+lpaWFAwcOcPDgQd7+9rcD0NHRQXd3Nzt37qS1tZVoNHrSBOqXv/xlnnnmGf7zP/+TbDZbmV6NxWJEo1Fuv/12PvvZz2LbNpdddhmpVIqNGzcSi8W47rrruPnmm/n2t7/N5z//eW644Qa2b9/OT37yk6pjnGtdQDab5eDBg5X3y7chmUzS3t5+Xl+Ds6WQVUREREREREREZApqaWnhvvvu4wtf+AIf+MAHKJVKtLe386pXvQqPxwPAHXfcwSc+8Qmuv/568vk8jz32GO985zvZsWNHZVOpt7zlLdxyyy387ne/AyAUCrF//35++tOfMjw8THNzM7feeivvfOc7AXjjG9/IE088wZ133kkqleLv/u7vuP7666vWtm7dOrLZLLfddlvV6eXzfvjDH6ahoYGvfe1rHD58mEQiUZmaBWhvb+cLX/gCn/3sZ/nud7/LxRdfzJ/92Z/xt3/7t+f9+dq2bRt33nln5f3Pfe5zALz97W/n7//+78/7es+G4TiOM6FHGAejo6Mkk0mefvppYrFYrZcjIiIiIiIiIiI1Yts2pmni8/kqQaPI+Trd91M6nebqq69mZGSERCJx2uvRd6KIiIiIiIiIiIjIBVDIKiIiIiIiIiIiInIBFLKKiIiIiIiIiIiIXACFrCIiIiIiIiIiIiIXQCGriIiIiIiIiIiIyAVQyCoiIiIiIiIiItOGYRgAOI5T45XITFL+vjpfvnFah4iIiIiIiIiIyIQzDAOPx4NlWZX3Rc6XZVnj8j2kkFVERERERERERKYVr9cLUAlaRS6E3++f/EnW3/72t3zuc59j/fr19PT08KMf/Yjrr7/+tJd58skn+fM//3O2bdvGnDlz+Ou//mvuuOOO81yyiIiIiIiIiIjMZoZh4PP5cBxHtQFy3srBak0mWTOZDKtXr+bOO+/khhtuOOP59+/fz1vf+lbuuecevvOd7/DEE09w11130d7ezpve9KbzWrSIiIiIiIiIiIhhGKoLkCnhnEPWN7/5zbz5zW8+6/P/x3/8BwsWLODzn/88ACtWrOB3v/sdX/jCFxSynkKpZJB7aheJ1y6t9VJERERERERERETkLHgm+gBPP/00f/iHf1h12pve9Caefvrpl71MoVBgdHS06m22OPJvv+OaD9/Ijtf9//ivh2KkUhP+JRIREREREREREZELMOEJXm9vL62trVWntba2Mjo6Si6XO+VlPvOZz5BMJitvc+bMmehlThm5XcewMXhn/9e45tN3cf1rWrj77nk89FA9hw75GRryUigYqG5ERERERERERERkajjnuoDJcO+99/Lnf/7nlfdHR0dnTdC6/D/ewabvJVnx/93LH1pP8Dvzat72zM/49DPLiEQsLr44x2WXZZg/v0BdnUUyaRGJOITDduUtGFQCKyIiIiIiIiIiMlkmPGRta2vj6NGjVacdPXqURCJBOBw+5WWCwSDBYHCilzZl+W99PYdXfpV5f/phlgzvZb1xBe/1PshPsm/juediPPdcjJaWEhddlGXZsjzRqI1hQCDgEAzaRCI2iYQbwIbDdlUIGwgogBURERERERERERlPEx6yXn311Tz66KNVp/3yl7/k6quvnuhDT2v5Sy5h33fuZ96f/imxAwf4kfV2ftZxO5/0/B829c7h2DE/x44lefLJBMuW5bniigwrVrj1C6mUl4EBH6WSu7uex+MQCEAg4AawyaQbwIZC7vvlINbvVwArIiIiIiIiIiJyrs45ZE2n0+zdu7fy/v79+3n++edpaGhg7ty53HvvvXR3d3PfffcBcM899/Bv//ZvfPzjH+fOO+/k17/+Nd///vf5+c9/Pn63YoYqzZ3Lga9/nTl/8RdEN2zgj498i8vmbuKXr3wvv3Fex1PdS3nhQJSdO8Ps3BkmELBZvTrLVVdlWLo0j+d4465tQ6FgUCx6SKW89Pf7MM0TA1iHYNAhErGpq7OIx62q+gEFsCIiIiIiIiIiIi/PcJxz20LpySef5HWve91Jp99+++1861vf4o477uDAgQM8+eSTVZf56Ec/yvbt2+nq6uJv/uZvuOOOO876mKOjoySTSZ5++mlisdi5LHdG8B07RttnP0vy//5fDGCkcxEbF/8xvYE5vNh2Gf999CKe3VBHf7+/cplk0uSKKzJceWWGzs7Sy173iQGs+69xVgFseQI2HLbx+1/26kVERERERERERKaldDrN1VdfzcjICIlE4rTnPeeQtRZme8gK4D9yhKZvfpP6//ovPMUixYYmNr/6NvpSUYZDLRRWrmBraRnPrq9jw4YI2ay3ctmOjiJXXZXhiisyJJPWWR/TsqBYPHUA6/W6061uAGtRX28Ti1lV4asCWBERERERERERma4Uss5QgRdfpO7HP6bh4YfxDQ9jh0IcuOlODhQ6yBwrkGlop7ByBcMNc9m6I8batVG2bYtUglHDcFi2LM+VV2ZYvTpLMHj+X/pTBbCWVT0BGwg4RKMWdXX2SRUECmBFRERERERERGQqU8g6gwV37yb+5JPU//SnBF98EccwGLj+BvYt/QOGdwyTHbEpdHSRW7qMdEMn2byPDRsirF0bZd++UOV6AgGbSy7JcuWVGZYty+P1nuag50gBrIiIiIiIiIiITHcKWWcyxyG0bRvR554j/tvfElu/HoDU1VfTe/0tHD3iIbVzgHzBQ2nBfDKLlpNJtIBh0N/vY+3aKGvXRunrG0sx43GLyy93+1vnzCliGBO3/JcGsIWCgW0bOI5bQaAAVkREREREREREpgKFrDOdbRPetInIxo2Edu+m7tFHMRyH/MKF9N11FylPkp59Frm9/ZieIKVF8xmZt5x8vBEAx4EXXwywdm2UDRuipNNjY6ytrSWuvDLNFVdkaGw8+/7W8XC2E7CRSHUAG4nYhEI2kYjbEysiIiIiIiIiInKhFLLOBqZJZP16Itu34xkZoek738GTz2PW13Ps7rspds1heNhL754ipRcHsGMRiksWM9SxlGIkWbkay4IdO8KsXRtly5YwpZKn8rFFi9z+1ksvzRKJ2LW4lRUvF8A6zlgA627CZVNXZ500AasAVkREREREREREzoVC1lnCKJWIPvsswd27sQMBWr75TfzHjmH7/Qy85z1kL78cy4K+Ph9Hd+Xg6CBGfYLMkmUMty/BDEaqri+XM9i0ye1v3bMnhOO4U6Q+n8PKlTmuvDLDRRdlp9zL9U8VwJqmgWG4m32dKoAtT76WQ9hAYMr/GIiIiIiIiIiIyCRSyDqLGLkcsWeeIXDgAKWmJprvv5/wjh0AjLzpTQy/5S3g8VAoGvR0exnak8E3MozRVs/oghUMty7E8odOut7hYS/r1rn9rUeOBCqnh8M2a9ZkuOKKDIsXF/B4TrrolHJiAFssuh2wpnliBYG7CVgkYpNMWiQSVmXyNRx2awiCwSn/IyIiIiIiIiIiIuNMIess48lkiD71FIEjRyh2dVH3yCMkf/1rALKrVtF/22044TAAmYyHwwd9pF4YJlRIQ0cjwwsuZqR5Hrb31COq3d1+1q2Lsm5dlOFhX+X0ujqTyy93A9fOztKEbpg1EWwbCgWDUsmgUHBD2FLJvRGGwfEJWDdoTSYtkkmravq1PAE73W63iIiIiIiIiIicmULWWcgzMkLsqafw9fVRmjOH6Nq1NH7veximSbGtjb4PfACzuRlwN74aGvLSfdBD/sAQETI4czoYnLOC0aa5OB7vKY9h2/DCC0HWro3y/PMRcrmx87W3F7niCjdwbWiY3A2zJoJtlydgxwLY8gQsjAWwwaBDMmmSTLrTsOXpV/dfBbAiIiIiIiIiItOVQtZZyjs46Aatw8MUu7oIvPgizV/9Kr7RUaxIhP73v5/88uWV85f7WrsPGDjdA8RCBUpdnQx0rSRV38npugBKJdi+3d0wa9u2SFUAWd4wa82aLNFobTfMmgi2zfHp17EagvIELLgBbCDghqzxuEld3VgAOxbCKoAVEREREREREZnKFLLOYr6+PqJPPYU3k6HU2Yl3ZITmr36V4Isv4ng8DL3jHaT+4A84MeErFg16e330HHDw9x0jFrPJd86jv3MFmbo2zpQGZrMGmza5/a179wYrG2Z5ve6GWZdfnmHVqtys2FyqHMCWJ2DL/wd3gtjvP3EC1u2AjUbHpl8jEYdQyJ7yXbciIiIiIiIiIjOdQtZZzt/bS/R3v8MwTcy2NiiVaHzwQWJr1wKQfuUrGbj5ZvBXd7BmMgbd3QH6D5nERo4STnpIdyxkoHM5uUTzWR17aMjL+vVuf2t399iGWcGgzerVWa64IsPSpXm8p24kmNEc58QJ2LEp2PJPoBvAuiFsLGaTTJpEo3ZVD2woZM/Kz52IiIiIiIiIyGRTyCr4Dx0i9vTTYBhuF6vjEP/Nb6j/8Y8xHIf8ggX0/8mfYCWTJ112eNjLoUN+RrqL1Od6CTUEGO5YwmDHMvLR+rNeQ0/P2IZZg4NjG2bF4xaXXeb2t86bV9TL5nEDWNOEYtFTFcLatjtI7PM5BAIOfr9DPG6RTJrE405lArb85vOd+VgiIiIiIiIiInJmClkFgMC+fcSefRY7GMRqaAAgtGMHTd/8Jt5cDjORoO+uuyguWHDSZW0b+vt9HDocINeTodk8irchylDnUgbbllCMnBzOvhzHgf37g6xbF2Xjxgjp9NgoZlNTiSuuyHD55Rna2swLv9EzVKlEZfK1UDAoldwAFsDjcSdgAwGHaNQimbSIx6s7YCMRN6AVEREREREREZGzo5BVKoK7dxN97jnseLwyterr66P5q18l0NOD4/UyePPNpK+55pSXN023r/XQoQD2wCitHIOGBAMdyxlqW0wpdG5fD8uCnTtDrFsXZfPmCMXiWPloV1eBK67IctllGerrrfO/0bOMZVG1CVehYGDb7niwx+NUaggiEft4AGtV+l/LIWwwOOXvBkREREREREREJpVCVhnjOIS2bye6fj1mfT12PA6Akc/T+MADRDdtAiD1P/4HgzfeyMu93jyXM+jp8XOk2493ZJhWbx9mfQMDHSsYbluEGQif89IKBYMtW8KsWxdlx45wJRg0DIdFiwpcfnmGSy/NEo3a53njxbKo6n8tFAxM88QA1u3LDYXs4xtx2UQi1VOwoZCjSgcRERERERERmXUUsko12ya8ZQuRjRsxm5uxo9HK6Ylf/pK6n//c7WlduJC+P/kT7NN806RSHg4fDnC010M0M0iLf4B8fQsDXSsZbp6P5Q+d1xLTaQ/PPx9h/fooe/eOXYfH47ByZY7LL8+walVOE5fjyLbLAexYCFsqjaWpbgesG7ImEhaJhEU0Wt0BGwo5eDynOYiIiIiIiIiIyDSlkFVOZlmEN24ksmULpbY2nPDY5Gl461aavv1tPPk8Zl0dfX/yJxTnz3/Zq3IcGBrycvBggMEBD/WFYzT4R8jWtzHQdREjTXOxfYHzXurQkJf166OsXx/l8OGx6wkEbFatynHFFRmWL89pk6cJZNtQKhknhbDle4tyBUEwaBOL2SSTJtGoW0Fw4mZcXu/pjyMiIiIiIiIiMlUpZJVTM02i69YR3rGDYkcHTjBY+ZDv6FFavvpV/EeP4vh8DNxyC5lXvvK0V2dZ0Nfn59AhPyOD0EYvCW+GdEMHA10rGWmci+O9sCS0t9fH+vVR1q2L0t/vr5weiVisWZPl8sszLF5c0DTlJHKclwawbghb3ojL53M34SpvxFVX527EdWL4Gg5rIy4RERERERERmdoUssrLMkolIs89R2jXLkpdXTiBsUlRI5ej6f77iWzZAsDoq1/N0I03cqZxxGLR3Rzr8OEA+ZRFh9FDxFcg1dBFf+dKUo1dOJ4LG2l0HDh4MMC6dVE2bIgwOjoW3iaTJpde6gau8+YV1R9aY6USlEqe45txuW+W5X5RvN7qjbjKNQTl4LUcwgYC6oEVERERERERkdpSyCqnZRQKRJ95huALL1CcMwf8YxOi2DbJxx6j7he/ACC/aBF9d9552p7WsmzWoLs7QE+PH7tQpNPoIei1GGmcw0DnClL1nYzHyKltw549Idavj/D88xFyubEAt6mpxOWXu4Fre3vpgo8l4+t0G3EZhtsDGwzaBIMOyaRJMvnSDlj1wIqIiIiIiIjI5FDIKmdk5HLEnnmG4P79FObO5aUFp+EtW2i6776xnta77qI4b95ZXffIiJfDh/309fnwmQU6OYLH6zDSNI+BzhWk6zsYrzHFUgl27gyzbl2UrVvDFItj6VtHR5HLL89w2WVZmprMcTmeTJxyD6w7ATu2EZfjuN8uPt9YABuPuz2wkYjbA1sOYNUDKyIiIiIiIiLjRSGrnBVPNkv0978ncOgQxblzT6oF8PX2uj2tx465Pa0330zm6qvP6rptGwYHvRw+HGBgwEfEyNLu9IDXw0jzAgY6l5NJto5b2ApQKBhs2RJmw4Yo27eHKy9RB5g/v8Dll2e49NIsyaQ1bseUyfHSHthCwUOpZFR6YP1+t4YgEHCIxSySyeoe2FDIDWPVAysiIiIiIiIiZ0shq5w1TzrtBq1HjrhB60teh23kcjTddx+RrVsBSL3qVQzeeGN1xcBpmCb09/s5eNDPyIiP+kCKFqsX2+tnqGUBg53LySZaxv12ZbMeNm2KsG5dhD17QjhO+SXpDosXu4HrmjVZolF73I8tk69UojL9Wq4jsI5n6Sf2wIbDNslkuQe2egI2GFQPrIiIiIiIiIiMUcgq58QzMkLs6afxHz3qdrS+tPDStkk+/jjJRx/FcBwK8+fTd+edWPX1Z32MYtGg96iP7sMBMhkvDYERmktHMf0hhtoWMdC+jHy8cZxvmWtkxMvGjRE2bIiwf3+ocrrH47B8eZ7LLstwySVZwuEp/6Mg5+FsemADAbfrNR43SSRsotHqCdhQyFYPrIiIiIiIiMgso5BVzpl3eJjYU0/hHRig1NV1yg2qQtu20XTffXizWax4nL73v5/CkiXndJxczqC7209PT4Bi0aAlNExd7iilUJSh1sUMdiwjHz378PZcDQx42bgxyvr1EQ4fDlZO9/kcLrooy+WXZ7noohyBwJT/sZBxUO6BPbGCoFh0e2CBygSs3+8Qj1skEibxuFOZfi0HsWc52C0iIiIiIiIi04hCVjkv3oEBYr//Pb7hYYpdXafsS/X199P8ta8R6O7G8XgYuu46Uq973Tl3q46OeujuDnD0qLvhVnNgmET2GKVQjIG2JQy1L6UQrRuPm/Wyent9bNgQZf36KMeOjaVkgYDNJZfkuOyyDMuX5xSgzVLlHtixzbjcadhyD6zX6xyfgnWIRGzq6ixiMet4+OpUQthAQDUEIiIiIiIiItORQlY5b77+fqJPPYU3laLU2XnK8NQoFmn43veIrV0LQOayyxh497txgsGTzns6jgNDQ+7mWH39Pvw+hxb/ILFMP4VQnMGOpQy2LaEYSY7LbTvdOrq7/ZXAdXDQV/lYOGxzySVZLr88w9Klee1cLxWW5W62Vip5KiHsS2sIgkG36zWRMEkmq6dfVUMgIiIiIiIiMrUpZJUL4jt6lNhTT+HJ5yl1dJz6TI5D/Le/pf6//gvDtim2t9N3112YLee+iZVlQX+/j0OHAgwPewmHbJq8g0Qz/eTDdQx0LGOobTGlcPwCb9mZOQ68+GKA9eujbNwYYWRkLHCNRi3WrMly2WUZFi8uKByTl1WuIXDDV7cLtlQ6+xqC8r+aohYRERERERGpHYWscsH8PT1En3oKwzQx29pe9nzBffto+vrX8Y2OYofD9L/vfeQuvvi8jlkqGRw75uPwYT+plJdY1KLBGSCSHSQfrWOgfbkbtoYm53vAtmHfviDr10d5/vkI6fTYGGsiYbJmjdvhOn++Alc5ey9XQ+A47sdeWkOQTFrE41algqAcwAaDqiEQERERERERmUgKWWVc+A8dIvb00wCnnVD1jozQ9I1vENq3D4Dha69l5M1vPuXmWWejUDDo6fHT3e0nl/OQTJjUWQOEM8PkonUMdK5kqHURZjByXtd/PiwL9uwJsWFDhE2bImSzY4FrXZ3JpZe6E67z5hUVfMkFsSwqwevL1RAEAuUaAotEwiISsau6YEMhW9UWIiIiIiIiIhdIIauMm8CLLxJ9+mnw+TCbml7+jKZJ/Y9/TOL//T8AcitX0v++92FHo+d97EzGQ3e3n95ePyUT6hImyeIgwcwwuXgDAx0rGG5dOKlhK4Bpws6dYTZsiLBlS4R8fixMbmwsVQLXrq6SAlcZV+UagmLRoFDwVP5/Yg1BIODWEMRiFsmkRSw2VkEQjdrE43Ztb4SIiIiIiIjINKGQVcZVcN8+os88gx0MYjU2nva80bVraXjwQTylEmZDA31/8icU5869oOOPjHg5fNhPX5/bj5pMmMRz/QRzo+TijWNhayB8Qcc5H6USbN8eZsOGKFu3hikWxwLX5uYSl12W5dJLM3R0KHCViVcqUemALU/DWpY7AWsYDuGwQ2dnkXnzirS2lvD5znydIiIiIiIiIrOVQlYZd8G9e4k++yx2OIzV0HDa8/oPH6b561/H39+P4/MxeNNNpK+5hgtJGW0bhoa8HD4coH/Ah9/nkIyXiGUHCOZGycab6O9cznDLIqxA6LyPcyGKRYNt29wJ123bwpRKY4Fra2uJyy7LcNllGdrazJqsT2Y3y4Js1sPQkA9waGkxWbiwQGdniWhU060iIiIiIiIiL6WQVSZEcNcuouvWYUciWPX1pz2vkc3S9MADRLZsASB91VUM3nILTiBwQWuwLOjv93HoUIDhYS+hkEMiViKa6SeQS5FNNDPQsZzhloU1C1sB8nmDrVvdCdcdO8KVTk2A9vYil13mVgq0tChwlclXLBoMDXnJZr0kEibz5hWZM6dIc7OpTdxEREREREREjlPIKhPDcQjt2kVk3TrsWAyrru7057dtEk88Qd0jj2A4DsWODvruuguzufmCl2KaBkeP+jh82E8q5SUatYmGTaLpPgL5tBu2dq1kuHk+lr92YStALmewZUuEDRsi7NwZxrLGAtfOziKXXprh0kuzClxl0tk2pFJehoa8+P0ObW0lFiwo0NFRIhSa8r8aRERERERERCaUQlaZOI5DaOdON2hNJLCSyTNeJLh7N83f+hbeVAo7FKL/ttvIXXLJuCynUDDo7fXR3R0gm/USj5tEQyaRVD+BfJpMooX+rpWMNM+redgK7su1N292J1x37Qph22OBa1dXgUsvzXLppVmamxW4yuTK5w0GB30Uiwb19SYLFhTp6CiSSNgEAlP+14SIiIiIiIjIuFPIKhPLcQht305k/XqsujrsM3yTAXiHh2n6xjcI7d8PwMgf/iHDb3sbeL3jsqRs1qD7iJ+jvQEKBYNk0iLkd8NWfz5DNnk8bG2aOyXCVoBMxsPmze6E6+7d1YHrnDljgWtTkwJXmTyW5W42NzLiJRh0CIVsIhGbZNIikbAIh9333X8d/P4p/ytERERERERE5LwoZJWJ5ziEtm4lunEj5lkGrVgW9T/+MYknnwQgv2QJfXfccXaXPUuplIfu7gBHj/qwbUgmbQLeEpHRfvzFLNnE1AtbAdJpD5s2Rdi40Q1cHWcscJ07txy4ZmhstGq4SpltCgXj+JuHQsGodAt7PA6BgEMw6BCJ2NTVWcTjViV8Lb/5/TW+ASIiIiIiIiIXQCGrTA7bJrx1K5GNGzEbGrDj8bO6WGTDBhq/+108hQJmIkH/nXdSWLRo3JblODA87OXwYT/9/T4MA+rqLHyGOeXDVnCD4vKE6549pw5c16zRhKvUjm27AWyx6Dn+r1HpGi4HsIGAQzRqHQ9g7ZMCWJ+vxjdCRERERERE5AwUssrksW3CW7a4QWtTE/ZZfn18vb00f/3rBHp7cTwehq67jtTrXgeGceYLn/3SGBz0cvhwgIEBH36/QzJp4WV6hK3gBq6bNkXYsCHK3r1BBa4y5VkWFIvu9Kv771gA6/W6068vDWBPrCAIh+3xahERERERERERuSAKWWVy2TbhTZuIbNqE2dyMHY2e1cWMQoHG736X6IYNAGRWr2bgPe/BCYfHdXmmCf39Pg4fDjA87CUUckgkLDzO9AlbAUZH3QnXjRtPnnCdM6fAZZcpcJWpzbKoVA8Ui+4krGW5z614vWMTsPG4RTJpEo87VdOvCmBFRERERERkMilklclnWW7QunnzOQWtOA7x3/6W+h/9CMOyKDU10XfnnZTmzBn3JZqmwdGjPg4f9pNKeYlGbaJRe9qFrTA24fpygas2zZLpxjSp1A+Uqwhs2/2YzzcWwCYSFomEG8CeOP0aCimAFRERERERkfGlkFVqw7IIb9xIZMsWSq2tOJHIWV80cOAAzd/4Br6hIRyfj8EbbyT9qleNa31AWaHghq3d3QHSaQ+JhBvSVMLWQpZscnqErXD6wLWra6xSoKVFgatMT6WSG8CW6wfKAaxhVAew8bhFXZ1JNGoTiVRPwXo8tb4VIiIiIiIiMt0oZJXaMU0iGzcS3rqVUlvbOb3035PJ0PjAA0S2bgUgfcUVDN56K04wOCFLzeUMenr89PQEyOUMEgmLcNjBsE8IWxPNbtjaPG/Kh60wtmlWOXC17bHAtaOjeDxwzdDWpsBVZoaXC2AB/P6XC2BtwmF3EjYUUgArIiIiIiIip6aQVWrLNIls2EB427ZzDlqxbRK//jV1jzyCYdsU29rov/NOSu3tE7bcTMZDd7ef3l4/pZJBMmkRDB4PW1MDBPJpMolmBrpWMtw0Hysw9cNWgHTaDVyffz7Crl3VgWt7e5E1a9xKgba20kQMDIvUXDmAPbED9sQAtrwJ14kBbHnyNRJxFMCKiIiIiIjMcgpZpfZKJTdo3b793INWILh3L03f/Ca+0VHsQIDBW24hc9VVE7RY1+iol+5uP0eP+rBtg7o6C7/fwbAtIql+/Pk02UQzAx3LGWlZgBkY3w26JlIm42HLljAbN0bYtStc2e0doLW1xJo1GS69NEtHhwJXmR3OJoANBm3icZtkUgGsiIiIiIjIbKSQVaaGCwxaPakUTd/6FuHduwFIXXMNQzfeiBMITMRqAXAcGB72cviwn/5+H4YByaSNz+eGreFUP4F8mly8if7O5Yy0LJxWYStANusGrs8/H2HnzjCmOZaqNjeXWLPG7XCdM6eowFVmpXOdgI1EVEEgIiIiIiIyEylklanjAoNWbJvkY4+RfOwxDMeh2NlJ3513Yra0TMx6xw7L4KCXw4cDDA768PncXc29XveDkXQ/wVyKbLyJgY7lDLcswAye/UZfU0UuZ7B1q9vhumNHdeDa0GCyZk2GNWuyzJtXVGgkwpkD2EDADWFjMYv6+nIAq024REREREREpiOFrDK1XGjQCoR27KDpvvvwptPYoRAD73432UsvnYDFVrMsGBjwcehwgOEhL36/QzJpuSGJbRNJDxDMjbhha/tyRloXUApGJ3xdEyGfN9i2zZ1w3b49TLE4lgTV1ZmsXu1OuC5cWFBIJHIKZxPAhkJu/UBjo0UsZhON2kSjFqGQo8lxERERERGRKUYhq0w94xC0eoeHafrmNwnt2wfA6Gtew9D114PfP86LPZlpQn+/n8OH/QwPewmF3MlWwwBsm3B6gGBulHy03p1sbV1IKTR9v1eLRYPt20M8/3yUbdvC5PNjqWo8blUC18WL8+50r4ic1okBbD7voVg0cByOT766dQNNTRbJpEUk4gawsZiN3z/lf0WLiIiIiIjMWApZZWoah6AVy6LuZz8j+atfAVDo6qL/zjsxm5vHebGnVioZHDvm4/BhP6mU9/gUmu2GrY5NOD1EKDtMLlrHYPsyhlsXUgyf/odwqiuVYOdOd8J1y5YwudxYqhqNWqxalWPNmgxLl+YnI+8WmVFKJcjnPcffjMqmdMGgO/Uai1nU1VnE43ZV5UA4bOPz1XjxIiIiIiIiM5xCVpm6xiNoBcJbt9L4wAN4Mxm3PuDWW8lefvk4L/blFQoGR4/56D4cIJ32EI+7k2jlsDWUGSKUGaYQSTJQDlsjyUlb30QxTdi9O8Tzz0fYvDlCJjMWuIZCNhdf7E64rliRJxCY8nctIlOS47jT5Pm8O/laKLjhq2GAxzO28VYkYlFf7069vjSA1RMeIiIiIiIiF04hq0xt4xS0eoeGaPrWtyr1AalXvYqhG27ACQTGc7WnlcsZHD3qp7vbTzbrJZEwiUSO/0g5DqHMEOHMEIVwgsH2JQy1LqYQrZu09U0ky4K9e0Ns2hRm06YIo6NjY3WBgM3KlTnWrMmycmWOcHjK382ITAuWxfHOV7dyoBzAAni9bvgaCDhEoxZ1dTbxuKUAVkRERERE5DwpZJWpb5yCViyLukcfJfHLX2I4DsWODvruvBOztXV813sGmYxBT4+f3t4A+bxBImGNBYuOQzA7Qjg9QCkUZ7BtMUNti8nHGiZ1jRPJtuHAgSDPPx9h06YIg4NjgavP57B8eY7Vq7OsWpUjGrVruFKRmetUAaxtu92vJwawkcipA9hIxFEHrIiIiIiIyAkUssr0MF5BKxDasYOm++7Dm05jBwIM3normSuvHMfFnp102sORI356e/2USm7YGgqdELbmRgmn+imFYgy1LmKobTG5eNOkr3MiOQ4cOhSoBK7Hjo2NzXk8DkuW5Fm9Ossll+RIJq0arlRk9rAst4KgvPlWsehOwDqO+3PpbsDlEInYxztgLUIhN3gth7CqABERERERkdlGIatMH+MYtHpHRmj69rcJ7dkDQOrqqxm66aZJrQ8oGx31cORIgGPHfJRMqEtWBxSB7AiR9AAlf5jh1oUMtS8hG2/GLXWdORwHenv9lcC1u3vsa2EYDvPnF1izxg1cm5rMGq5UZPY6VQBrmu59kRvAuhUgkYhNMmkdn9QfC2BDIZtgcMo/lBARERERETlnCllleimViGzcSHj7dsyWFuxI5Pyvy7ZJPvYYyccec+sD2tvpf//7KbW3j996z5LjwMiIl54eP0eP+rBtg2SdReCEl+P68ymio/2Y/iDDzfMZal9KJtk648LWsr4+H5s2uYHrgQPBqo91dRVYvTrHmjUZ2toUuIpMBbbtVhCUSgaFghvClgNYw+D4BKwbtCaTFsmkVTX9Wp6AnaF3aSIiIiIiMsMpZJXpxzSJPP884a1bMZubsaPRC7q60K5dNH3723hTKbc+4J3vJPPKV47TYs+N48DwsJfubj99fW5XaTJpV3Uf+vNpIqN92D4/I03zGWxfQrquHTyemqx5MgwPeyuB6969QRxnLIVpbS2xenWW1auzzJlTVEAjMgXZdnkCdqwHtlQaC2D9fodAwCYUckgmTZJJdxq2PP3q/qsAVkREREREpi6FrDI9mSbh558nMk5Bq2d0lKb77iO8axcA6SuvZPDmm3FCofFY7TmzbRga8tLdHaC/34vH44atPt/Yj6CvmCU62odteBhtnMNgxzJS9Z0zOmwFt8t2y5YwmzZF2LUrXJmUA6ivN7nkEjdwXbiwgNdbw4WKyFmxbY5Pv54YwFJ5MsXdhMsNWRMJt4IgGrWrJmBDIWem3/WJiIiIiMgUp5BVpi/LIrxpE5HNmzGbmrAv9Ott2yQff5zko49iOA6l5mb677iD4ty547Pe81sSg4M+Dh/2Mzjow+t1SCatqvDQW8wTHT0GQKqhk4GO5aQaOnG8vhqtevLkcgbbtrmB6/btYYrFsZQlFrO4+OIcq1dnWbYsh99/misSkSnJcU4MYMdC2PKjEb/frSAIBh3icZu6OrMyARsOj/XA6gkXERERERGZaApZZXqzLMKbNxPZtAmzsRE7Hr/gqwy+8AJN3/42vqEhHK+Xobe/ndTrXlfT7lPLgoEBN2wdGvbh97kTXVVha6lAZPQYHtsi1dDJYMcyRhvnYHtnR7pYLBrs2hVi06YIW7aEyWbHPjnBoM1FF+W45JIsF12UIxSa8ndlInIG5QB2rIbADWFt2/24W0HgvsXjFomESTzuvGQC1sY385+PEhERERGRSaCQVaY/2ya8ZYsbtNbVYZ/hG/lseDIZGr/7XSKbNwOQXbmSgfe+d1xC3AthmsfD1u4Aw0Ne/H53svXEl8l6zCLR0T48ZoFMfTsDHSsYaZyD7Q++/BXPMJYFe/eG2LQpzJYtEYaHx1IUn89h6dIcq1fnWLUqSzxu13ClIjJRSiUqk6/lKgLbdp8v83gcgkE3gI1GLerqLGKx6gqCcNip6sMWERERERE5HYWsMjPYNuGtW4k8//y4Ba04DrH//m8afvQjDNPETCTov/12CkuXXvh1XyDTNOjvdydbR0a8x18q+5Kw1SoRGe3DV8qTTbQw0Lmc4ab5WIHa9MzWim3DwYOBysZZfX1jk72G4bBwYYFLLslyySU5mprMGq5URCaLaY4FsOUQ1rLcVyt4vc7xGgKHSMQ+HsBahMM2kchYBUEwOOUfEomIiIiIyCRSyCozh20T2r6dyIYN2MkkVjI5Llfr7+6m6VvfItDbi2MYjP7RHzH85jczFUr+TNOgr8/HoUN+Rke9lY1hTmw2MGyTSGoAfyFNLtbEQMdyRlrmUwpe2GZh05HjQG+vn02bImzeHObQoerp3s7OYmXjrI6OknYyF5mFLItK9UC5C7a8wZ7H4+D3uxUkoZBNMmmRSNiVHthQaGwjLt1/iIiIiIjMLgpZZWZxnLGgNR7Hqqsbl6s1CgXqf/hD4k8/DUB+wQL677gDq6FhXK7/QpVKBseO+eju9jM66iMctonHXxq2WoTTgwRyo+Sj9Qy2L2W4dSHF8DhM/U5Tg4NeNm+OsHlzhL17g5XdzAGamkqVCdcFCwrauVxEsG2q+l+LRYNSyd2IyzAgEHDw++3KE16JhEU0Oha+RiIOoZCt+xMRERERkRlIIavMPI5DaOdOIuvXY0ejWPX143bVkfXrafze9/Dk81jhMAPvfje5NWvG7fovVKFo0Hc8bE2lvITDzklhK45NKDNEKD1EIVrHUNsShloXUYjW1WrZU0I67WHr1jCbN0fYuTNEqTSWgsTjFqtWZbnkkixLl+bxz469xETkHNj2Szfi8lQCWMehUkEQCDjEYhZ1dSbRqDbiEhERERGZKRSyyszkOIR27XKD1nB4XCdOff39NH3rWwRffBGA1P/4Hwy94x04gcC4HeNCFQoGR4/56Dni1ghEozaxmP2SsNUhlB0mlB6kFIoz1LqQobbF5OJNNVv3VFEoGOzYEWbz5jBbt4bJ5caqIYJBm5Urc1xySZaVK3NEIlP+blFEasxxxnpgyxUE5Y24wN2QLxAY24grmXRfjXBiBUEkoo24RERERESmMoWsMnM5DsHdu4muW4cdCmE1No7fdZsmdT//Oclf/QqAYns7/XfcQamjY/yOMQ4KBYOjR310dwdIpz3EYjbR6MlhazA3Sjg9QMkfZqR5PkPtS8gkW1GpoNvPuGdPiM2bw2zZEmF4eGzMzONxWLo0f3zKNUddnVXDlYrIdHWqjbhs252C9XjGAthIxK7UEJy4CVc47G7EpbtsEREREZHaUcgqM15w716ia9fi+HyYzc3jet2hHTtouv9+vKkUjs/H0PXXk3rNa6ZcOJnPu2HrkSMBMhkP0egpwlbAn08TGe3D9vkZaZrHUPsSUnUdqEDQZdtw6FDgeI9rmN7e6unlefMKx3tcs7S2mlPt20BEpqETN+Iqh7ClkoFhuL9q/H6HQMDtgY3HTRIJWz2wIiIiIiI1oJBVZoXAvn1E164FwGxtHdfr9qRSND7wAJHt2wHIrlzJwHvfix2Pj+txxkM+b9Db66On5/Rhq6+YJTrahwOMNs5hsH0ZqYZOHK/KAk907JivErgeOFC9cVZz89jGWfPna+MsERl/J/bAFgqeyv/Lj9Ze2gObTJrEYk4lgC1PwqpnWkRERETkwilklVkjcPAg0WefxTBNSu3t43vljkP8t7+l/sc/xjBNrHic/ttuI79ixfgeZ5zkcgZHj/o5csRPJuMhHreJRE4OW72lApHRY3hsm3R9OwMdyxhtnIPtmzr9s1PF6KiHLVvcwHX37jCmOfbJjMXcjbNWrcqxbFmeQGDK35WKyDTnOG4AWyoZJ/XAGoZbQ1AOYCORsR7YUMiuqiIIBnV/JSIiIiJyNhSyyqziP3yY6LPP4snn3f7UcX49t7+7m6ZvfYtAby8Ao697HUN//MdM1TGhXM6gt9cNW3M5t7P1VGGrxywRGT2GzyyQTrYy2LGckaZ5WIFQbRY+xeXzYxtnbdsWIZcbG2MNBGyWL89zySVZLr44RzRq13ClIjJbuT2w1TUE5SeH3B5YjtcQuD2wyeTY9Gs5gA2FHE3pi4iIiIgcp5BVZh1/by/RZ57Bk05T6uwc96DVKBap//GPif/3fwNQ7Oqi7/bbMdvaxvU44ymbHZtsPV3YalgmkVQ/gUKGbLyJgfZljLTMpxTSz9rLsSzYuzfEli1hNm+OMDQ0VrlgGA6LFhUqG2c1NZk1XKmIiMu2qQSv5RC2VALHcbtgfT6HYNCdco3HbRIJk2jUJhx2qkJYnxpmRERERGQWUcgqs5Lv2DGiTz+Nb2SEYlfXhGzsFN6yhcbvfAdvJoPt9zN0442kr7lmym2KdaKzDltti3B6kEBulEI0yUDbMkZaFlCI1tVk3dOF48Dhw362bImwZUuEw4eraxfa24usWpVj1aosc+cWNSEmIlNOuYZgLIQdqyEAN4ANBMZqCOrqbGIx63j4qhoCEREREZm5FLLKrOXr7yf69NN4BwcpzZkzIUGrd2SExvvuI7x7NwCZ1asZfNe7sKPRcT/WeMpm3RqBnp7Th604NqHMMKHMEKVQnKHWhQy1LiIXb5rSYfJUMTDgPd7jGuGFF4LY9tjnLJEwK4Hr0qX5qdo4ISJSxa0h8FSFsKbpTsAaxulrCMobcqmGQERERESmI4WsMqt5BweJPvMM/mPHKM6ZA17v+B/Etkn8+tfUPfIIhm1j1tXRf9ttFJYuHf9jjbPqsNVLLGa9TNjqEMyNEk71YwYiDDfPY6htCZlk64SE1zNRNuth27YwW7aE2bEjTD5f3eO6YkWOVatyXHRRjlhMPa4iMv2croYAwO8fqyGIRm3q6kyiUeclAaytJ51EREREZEpSyCqznndkhOjTT+Pv7Z24oBUIHDxI07e+hb+vD8cwGH396xl+61un7KZYJzrrsBXw59NEUv3YHi+jjXMYbF9GuqEDxzMxn9eZqFRye1w3b46wdWuY4eGTe1wvvjjLqlU5WlrU4yoi09/paggMw92MKxh08PsdIhGbujrrZWsI9EIKEREREakFhawigGd0lOgzzxDo7naD1gnarcMoFKj/4Q+JP/004G6K1f++91Fqb5+Q4423TMbtbD1jjQDgK+aIjPYBDun6DgbblzLaOAfbFzj5zPKyHAcOHQqwZUuYLVsidHdXf/7a2opcfLE75Tp/fkGDwyIyI1kWFApGVRWBabq/fAyD4z2wbtVAPG6SSNhEo+UJ2LEQdoKeRxURERERUcgqUuZJp4k++yzBgwcpdHVN6IRpeNMmGh98sLIp1vB115F6zWumTY/piZOt2awbtkajpw5bPWaB6Gg/HrNIJtnCUMcyRprmYQbCk7/wGaDc47p1a5g9e0JVPa6xmMXFF+e4+OIsy5fntbGMiMwKtu1OwZZD2PJEbPlRq9/vbsTl9zvE4xaJhEUsdmIPrBvCBgK6zxQRERGR86eQVeQEnmyWyLPPEty/n1JXF05g4qYuvSMjNH7nO4R37AAgt2IF/e99L/YZfhCnkmzW4NgxP0eO+MlkTh+2GpZJJNWPv5AhF29ksH0ZI83zKIanz+2danI5g+3bw2zdGmHbthC53NiIls/nsGyZO+F68cU5kkmrhisVEakNxznVZlwerON3iR6Pc3wK1iEUskkmLRIJbcYlIiIiIudOIavISxj5PNG1awnu3UupvR0nFJq4g9k28f/+b+p//GMM08SKxRh417vIXXLJxB1zAuRyYzUC6fTpw1Zsm3BmkGB2hEI4yVD7YoabF5CPN076umcSy4IXXgiyZUuELVvCDAxUT2LPnVs4XiuQpbOzNF2GpkVEJpRlcXwDLoNCwZ2CLZXcKVjDcJ+wCgbdEDYWs0gmTWIxp2ojrnDYnZIVERERkdlNIavIKRjFIpH16wnt3EmptRUnEpnQ4/l7emj69rcJdHcDkLrmGoZuuAEnGJzQ4443N2z10dMTIJPxEI2eJmx1HILZEcKZAUqBCMMtCxluXUQm2TptahOmKseB3l5/pcf1xRcDld27AerrTS66yA1clyzJT4e910REJt3LbcblOO7HvN6xKdhIxCaRsIjHraoOWPdNU7AiIiIis4FCVpGXUyoRef55wtu2YTY1YU/091OpRN3Pf07i17/GcBxKzc303347xXnzJva4EyCfd8PWI0cCZ55sBQK5FOH0ALbXx2jjXAbbl5Cu78DxaIeS8TA66mHbNnfCddeuEMXi2F/7gYDN8uV5Vq3KctFFOeJxu4YrFRGZPspTsC/djKs8Bet2wdoEgw7xuE0iYRKNOi+pIbD1RJeIiIjIDKGQVeR0LIvw5s1ENm/GrK+flL7U0K5dND7wAL7hYRyPh+G3vIXRN76R6TgGk88bHDvmo7vbDVsjEXfTkZcLW33FLJHRfsAhXd/BYPtSRhu6sP3Ta6J3KisWDXbvDrF1a5itW8OMjPgqHzMMh/nzy7UCOdraVCsgInI+ylOwhYJxwjSsB9t2A9gTu2DLU7CJhDsFW56ADYfdgHYa/voXERERmZUUsoqciW0T2r6dyMaN2LEYVn39hB/Sk83S8L3vEd24EYD8ggUM3HYbZnPzhB97IhQKBkeP+eg54ieV8hEK2cTj1sv+4egxC0RH+/GaBbKJFgY6ljHSNA8zOLG1DbON48ChQ4FK4HroUHWY3dhY4uKL3Y2zFi1SrYCIyHh56RRsoeBOwZaf2NIUrIiIiMj0o5BV5Gw4DqFdu4isX48TDGI2NU3KMaNr19Lwgx/gyeexAwGGbriB9DXXTNvO0kLBoK/PR3e3n1TKSyjknDZsNWyTSGqAQD5NLlrPYNsSRloXUogkJ3fhs8TQkJdt29we1927Q5jm2PdZMGizYoUbuK5cqVoBEZGJYttjXbDnOwWrLlgRERGRyaeQVeQcBF94gcjateDxYLa0TMoxvYODND3wAKE9ewDIXnwxA+9616RUF0yUYnEsbB0dPXPYimMTygwRzgxTDMUZal3IcOtCsvHmaRs4T3WFgsGuXW6twLZtYUZHT10rcPHFOdrbVSsgIjJZLIvjNQQeCoWxLtgzTcGeWEMQDjv4/VP+Yb2IiIjItKKQVeQcBV58kejatRilEqW2tskJ+Wyb+JNPUv/IIximiRWLMXDrreRWr574Y0+gUqk6bPX7HRIJC+/L7XflOARzo4RTA5iBEKONcxlqX0yqrmNadtZOF7ZdXStw+HB1rUBDg8lFF2W5+OIcS5aoVkBEpFZsG0zz1F2wAF7v2BRsOOxOwcbjNpGIfUII6way+rUqIiIicm4UsoqcB393N9Fnn8WTzVLq7Jy0aUr/kSM03Xcfge5uANJXXcXgTTfhhMOTcvyJYppjYevIyFmErYC/kCGS6scBUg1dDLUvcTfJ8gUmbd2zVblWYOvWMLt3hyiVxv4SDwRsli3Lc/HFOS66KEcyadVwpSIicqKXdsGWp2DLj/D9fodg0J1yjcctEgmTWMypCmDDYZtAYMr/SSAiIiIy6RSyipwn39GjRJ95Bu/oqBu0TtbIh2lS9+ijJH71KwzHwWxooP+976WwZMnkHH8CmaZBf7+X7iMBhoe9+LwOiYSNz/fydz3eUoHI6DE8VolMspWhjmWMNM7VJlmTpFh0awXKoevIiK/q43PmjNUKdHUVNRklIjJFOQ4nTL+WO2HdKVjHKXfBuk+mhULlLli7ajOu8hTs6Z4kFREREZmpFLKKXABvfz+xZ57B199Pcc4cJvOviuC+fTTefz/+/n4cw2D09a9n+K1vZSa8Vts0YWDQx5FuP0NDPjweN2w9XX+cYZlEUv34Cxny5U2yWhZQiNZN3sJnOceBw4f9bNsWYevWMC++WF0rkEiYXHSRO+G6fHmeYHDK/0oREZHjylOwbhDrqfz/xCnYQMCdgo1GLZJJm1jMqpqADYXcrlj1eIuIiMhMpJBV5AJ5R0aIPPMMgSNHKHZ1TWrIaeTz1P/oR8R//3sAiu3t9L/vfZS6uiZtDRPJsmBoyMeRI34GBrwYhkE8YRE43WYdJ22StYDhlkVkE9oka7KNjnrYvt2dcN25M0yhMDbG6vM5LF48VivQ1GTWcKUiInIhHMd9gvTE8LVcRQDur1+3C9YNWd0pWKtq+rUcws6A54pFRERkllLIKjIOPOk00bVrCezfT6mrCycwub2g4S1baHzwQbypFI7Xy/Bb3sLoG94wqZO1E8m23R5QN2z1YdsGyaR1+k44xyGQGyWSHsDyBRltnMNg2xLS9e04Xt/LX04mRKkEL7wQqmyeNTBQ/Vd0W1uxMuW6cGFhpnzriogI7u/x6ioCD6WSccoNuSIR+3gfrFUJYLUhl4iIiEwHCllFxomRyxFdt47Qnj0U29snfTMqTypF4/e+R2TzZgAK8+fTf9ttmC0tk7qOiWTbMDzspafHT1+fD8uGRNwmFDr9XZOvmCUy2g84pOvaGWxfSqqxC8sfmpyFSxXHgaNHfZVagX37gtj22JRxOGyzfLkbuK5cmSMet2u4WhERmWjnsiFXLOYGsLGYfVIVQSCgKgIRERGpHYWsIuPIKBaJbNhAaMcOzJYW7Gh0chfgOESfe46Ghx/Gk89j+/0MX3cdqVe/evI25poEjgMjI2Nha6lkEI+7Ey+n4zGLREb78JkFsvEmBtuXMdI0l1I4Pkkrl1PJZg127gyzbVuY7dvDpNNjY6yG4TBvXnnKNUtXV0l/QIuIzCLlDblKJYNCYWxDLstyP+7xOPj95Q25nMoUbCRiV03CqopAREREJppCVpHxZpqEN28msmULZn099hl+sCaCd2iIxu98h/CuXQDklyyh/73vxWpomPS1TCTHgVTKDVuPHfNRKIyFracL4gzbJJweJJBLUQgnGWpbxEjLAnKxRvW21phtw4svBti2Lcy2bREOH66u3jhx86xly/JnnGIWEZGZzbY5qYagWHSnYA1jrIrA73erCBIJq/JYQVUEIiIiMp4UsopMBNsmtH07kY0bsaPR2oSbjkPsd7+j/sc/xlMsYodCDN1wA+lXvnJGBomplIfeoz6O9gbI5z1EoxbRqH36m+o4BLMjhNMDmIEII01zGGpbQqauDcejUtCpYHjYezxwDbNrV4hicewvYK/X3Txr5cocF1+co6VFm2eJiEg1d0Mud/r1xCoCcJ+sPVMVQTmIDQZVRSAiIiKnp5BVZKI4DsHdu4lu2IDj9dasG9XX10fjAw8Q2rcPgOzKlQy++91YyWRN1jPRMhkPR4/66O31k8l4iMXsM4etgD+fJpLqxzEM0vUdDLYvZbShC9sfnJyFyxmVN88qh659fdWv+2xuLrFypTvlunhxXi8LFRGR0zqximBsGtao9IQbxlgVQTDokEiUN+SyT5qE9fun/J9JIiIiMsEUsopMsMCBA0TXrsUwTUptbbWZIrVt4r/5DfU/+xmGaWJFIgy+851kL798Rk61AuRyBseO+ThyJEAm46n0tJ3ppYDeUoFIqh+vWSAbb2agYymjTfMohXR/MtUcO+arBK5794awrLHv5UDAZtkyd8p15cocDQ1WDVcqIiLTkW3zkgDWrSOwbffhk9sH69YRRCL28T5Ym3DYJhisDmJ9vlrfGhEREZloCllFJoH/yBGizzyDN5ul2NFRs02o/D09NN5/P8FDhwDIrFnD4M03Y8dn7sZPhYJBX5+P7m4/qZT3rMNWwzYJpwYI5NIUokmG2hYz0jxfva1TVD5vsGtXqLJ51shI9V+z7e3u5lkrV+ZYuLCAV20QIiJygSyLSvjqVhK4b+W/mPz+E0NYi2TSJhazTtqQKxRy1AcrIiIyAyhkFZkkvr4+os88g29wkGJXFzVLeSyL5OOPk3zsMQzbxorHGbjlFnKrV9dmPZOkWDTo7/dx5IifkREvfr/7sr8zfhkcm1B2hFB6sNLbOty2mHRdu3pbpyjHge5ufyVw3b8/iOOMBeOhkM3y5blK6JpI2DVcrYiIzESOU+6DHQtgT+yDNQyOB7A2gQCVPthoVH2wIiIi05VCVpFJ5B0aIvrss/h7etygtYalkYFDh2i8/34CPT0AZK64gsGbbsKORmu2pslgmgb9/V6OHAkwPOzF43FIJOyz6lIr97ZiGKTq2hlsX0qqsQvLH5qElcv5ymQ87NzpTrnu2BEmna4Ox+fMKVS6XOfNK2qaSEREJpxtu49JTuyCLZU8WMfbbdwqglP1wVZPwYbD7qSsiIiI1J5CVpFJ5kmliK5dS+DAAUqdnTjBGm6sVCpR94tfkPjVrzAcx51qvfVWcpdcUrs1TRLThKEhd7J1cNALGCQS1ln9oeIxC0RG+/GZBbLxJgbbljLaPJdi+PR3olJ7tg0HDwbYvt3tcj14sPrnLxKxWLHC7XJdsSJHPK4pVxERmXy2zQnh6+n7YEMh+3gI6/bBnjgJGwza2ghSRERkkihkFakBI5cjun49oT17KLa24kQiNV1P4MABGr/zHQK9vQCkr7ySoRtvnPFTreD+ETM87OXIET/9/T4s2yARtwiFznx3Z9gm4fQQwdwohXCCodZFjLTMJxtvVm/rNDE66mHHDjdw3bkzRC43NuVqGA5z5ox1uc6dqylXERGZGs7UB+vzuQGs3+9uypVIWMTj7iRsMFgdxKqnXEREZHxMeMj6pS99ic997nP09vayevVqvvjFL3LVVVe97Pn/5V/+hX//93/n4MGDNDU1cdNNN/GZz3yGUOjsXo6rkFWmC6NUIrxxI+Ht2zEbG2u/+VSpRN2jj5J44gkMx8FMJBi89VZyq1bVdl2TxHFgZMRLb6+fY8d8FItG5Y+RM+aljkMwN0I4NYgVCDLSOJeh1sWk69txvNpOeLqwLHjxxeDxLtcQhw9XT7lGoxYrVuRYuTLPihU5YjFNuYqIyNRUKkGp5KmqI7Cs6k25yiFsNOpuyhWNalMuERGRCzGhIetDDz3E+973Pv7jP/6DV7ziFfzLv/wLP/jBD9i1axctLS0nnf+73/0ud955J9/4xje45ppr2L17N3fccQe33nor//zP/3xWx1TIKtOKZRHeto3w889jx+NY9fW1XhGBAwdoeuAB/EePAsenWm+6CbvG07aTaXTUw9Gjfo4e9ZPPe4hG3Y0ozmY41VfIEkn1Y+CQTrYy1L6U0cY5mIHwxC9cxtXIiJcdO9wu1127wuRyY39lGobD3LlFVq7UlKuIiEwv57MpVzxuEYudXEUQCmlTLhERkbIJDVlf8YpXcOWVV/Jv//ZvANi2zZw5c/jwhz/MX/7lX550/g996EPs2LGDJ554onLa//7f/5tnn32W3/3ud2d1TIWsMu04DsHdu4lu2IDj9WKe4gmISXeqqdZ3vYvcxRfXemWTKpPxcPSoj95eP5mMh0jEIR63zuqPCY9ZIpzuJ1DIkovWM9i2hNGW+eSjtQ/S5dxZFuzfH6x0uR45Eqj6eDRqsXy5ulxFRGT6e7lNuezjv9oMw92Uy+93N+WKx20SCZNIxKnakCsUsgkEFMKKiMjsMWEha7FYJBKJ8PDDD3P99ddXTr/99tsZHh7mJz/5yUmX+e53v8v/+l//i8cff5yrrrqKffv28da3vpXbbruNv/qrvzrlcQqFAoVCofL+6Ogoc+bMUcgq007gxReJrF2Lp1Cg1NExJTo9A/v30/Sd74xNtV51ldvVOoumWgFyOYO+Ph89PX5SKS+hkEMsZp1dh5ltE8oOEcoMUwpFGWmcx3DbItLJNjT6OH0ND7tTrtu3nzzlCjB3bqFSLTB/fkFfahERmTFsm8r0a/nfYnEshPV4HAIBCATKIaxFImEd35SrOog9mw1HRUREposJC1mPHDlCZ2cnv//977n66qsrp3/84x/n//2//8ezzz57ysv967/+Kx/72MdwHAfTNLnnnnv493//95c9zv/5P/+HT37ykyedrpBVpiN/by+RZ5/FOzJCqatrSoRwRrFI8tFHSfz61+5UazLpdrXOsqlWgELRYKDfx5EjfkZGvPh8DomEjc93dneNgVyKcHoAx+MhVdfBUPsSUg2dWP6z65yWqak85bpjx6m7XCMRi2XLylOueZJJq0YrFRERmXiWRVX4Wt6Uy7bdGQKPx6l0woZCNrGYRSJhE4nYJ23M5fcrhBURkeljSoWsTz75JLfeeiuf/vSnecUrXsHevXv5yEc+wt13383f/M3fnPI4mmSVmcY7MED02WfxHz1Kcc4c8E2NjZMC+/e7Xa3HjgHHu1pvvBE7Gq3xyiafaRoMDHg5csTP0JAXw4BE0iZwln8IeEsFIql+vGaBbLyJwbaljDbPpRg+/Z2wTA/lLtcdO8Ls3Bkim60eee7sLFZqBRYuLGhXZxERmVUsixOmYKtDWACv1w1gyyGsOwlrH5+ErZ6G9ftre1tERERONKXqAl796lfzyle+ks997nOV0x544AE+8IEPkE6n8ZzFVJ86WWUm8IyOEn3uOQIHD1Lq6sIJBM58oUnw0qlWKx5n8Oabya5ZU+ul1YRlwdCQl54ePwMDPmwb4nH3wf/ZMGyTcHqIQG6UYjjBcMsCRloWkIk3T4kpZrlwlgUvvhhk+3Y3dD10KIDjjFWBhEI2S5fmj1cL5Gho0JSriIjMbuUQ9sSNuUolg/Jfoj6fG8D6/Q7hcHUIGwxWb8ylEFZERCbTuYSs5zROFwgEuPzyy3niiScqIatt2zzxxBN86EMfOuVlstnsSUGq9/iIzznuuSUyrdmJBOlrriEaDBLau5diWxtOuPa70zuBAMPXX092zRoav/tdAj09NH/962TWrGHwne/EPsOdyEzj9UJTk0VDg8XIiJfeXj99fT5GRgzicYtw+PSbPTgeH9lEM9l4E8HcKC0HN9N4ZCephk6GWheTaujE9k2NgF3Oj9cLCxcWWLiwwNveNkIq5WHnznBl0jWd9rJ5c4TNm92e47a2IitWuKHr4sV5/XEoIiKzjtcL4bBDOHzqJx5Nk8pmXKmUl8FBX1UI6/c7lbdIxA1h4/FTT8JOkReMiYjILHROk6wADz30ELfffjv/+Z//yVVXXcW//Mu/8P3vf5+dO3fS2trK+973Pjo7O/nMZz4DuP2q//zP/8xXvvKVSl3A//yf/5PLL7+chx566KyOqUlWmUmMUonwhg2Ed+zAbGzEjsdrvaQxpRLJxx8n+fjjGLaNFYkwdNNNZK64Ykps2lULjgOplIejR/0cO+YnlzOIRm2iUfusPyW+Yo5wqh+PVSKXaGGgfQmjjXMphafQ117GhW3D4cOBygZaBw4Ese2xbxS/32bx4gIrV+ZYvjxHa6s5W3+0REREzlqpBKWS54ReWAPTBHCD2HIAGwi4k7CJhEU8blWFr+X/K4QVEZFzMWF1AWX/9m//xuc+9zl6e3tZs2YN//qv/8orXvEKAF772tcyf/58vvWtbwFgmiZ///d/z/333093dzfNzc388R//MX//939PXV3dWR1PIavMOJZFeNs2wps2YUejWA0NtV5RFf/hwzR+5zsEDx8GIHvxxQzecgvWWf7MzlSZjIe+Ph89PX4yGW+lU+xsWwAMyySSHsCfS1OIJBluXchI83yyieZZG2LPdNmswa5dY1Ouw8PVf9k1NJisWOF2uS5dmicc1is8REREzoXjuJOwpZLnhF5YA9M8eRJWIayIiJyrCQ9ZJ5tCVpmRHIfgnj1ENmwAwGxtnVpBm2WR+NWvqHvsMQzTxA6FGHrHO0hfffXUWmcNFAoGfX0+jhzxk0p78fsc4nEbn+8s704dm2B2lHB6ECsQZLS+k6G2JaQbOrC9ei35TOU40NPjrwSuL7wQwjTHfpY8HocFCwrHQ9c8XV1F1fiKiIhcoJeGsOU3yzr7EDYScU9TACsiMvsoZBWZRvyHDhFduxZvJkOxs3PKbY7k7+mh8bvfJXjgAAC5ZcsYeNe7sBoba7uwKcA0Dfr7vRw54md42IthQCJhEwic/d2qr5glMtqP4dhkEs0MtS1htHGOqgRmgULBYO/eIDt2hNmxI8yxY9UBeyxmsXx5nuXL3UnXRMKu0UpFRERmrnIIWyxW1xGcGMIGgw6xmEVLi0lTk0kyaZJMWupZFxGZBRSyikwzvr4+os8+i6+/n2JXF1PuaXLbJv7kk9T97Gd4SiXsQIDht7+d1KtfPeVC4VqwLBga8tLT42dgwIdlQyLuvuzsbHmsEuHUAP5ChkJYVQKzUX+/j5073S7X3btDFArVP1udnUVWrMixfHmehQu1gZaIiMhkcBx3U65MxkMm48Wy3MnXWMyitdUNXevqLJJJU7+bRURmIIWsItOQZ2SE6Nq1BA4epNTZiRMM1npJJ/EdO0bjgw8S2rsXgPyCBQy8+92YbW01XtnUYNswMuI9vkmWj2LRqOx8e9Y56YlVAv4gow2dDLctJlXfge0LTOj6ZeowTdi/351y3bkzxKFD1fcHgYDNkiV5VqzIs2JFjuZmbaAlIiIyWQqFcujqwbIM/H6HaNSmpaVEc7NJImERDrtPuJ/LK5xERGTqUcgqMk0Z2SzRDRsI7tmD2dqKHYnUekkns21iv/sd9T/9KZ5CAcfnY+SP/oiRN75x6k3g1lAq5eHYMR+9vX5yOQ/hsDvxcC6Dv2NVAha5eDODbUsYbZpDMXz6O3aZeVIpDzt3uoHrjh1hUilv1cfLG2gtX55j2TJtoCUiIjKZxiZdPZimgdc71vEaCtnEYhaJhNvteuJmW+Gwez4REZm6FLKKTGNGqUR40ybCW7di1ddjJZO1XtIpeYeGaHjoISLbtgFQbG9n4N3vpjh/fm0XNsXkcu4mWT09flIpL4GAQyJh4fWe+bJlhmUSTg8QyKcphhMMtyxgpGUBmXiz6hpmIceB7m4/O3eG2bEjxL59J2+gNW9egRUr3D7XefO0gZaIiMhksiw3eHU7Xse6Xst/eXu9bgDr97uBayJhEYu5IWw47BAMKoQVEZkqFLKKTHe2TWj7diKbNuEEg5hNTbVe0ak5DpENG2h4+GG86TSOYZD6gz9g+G1vm5J1B7VULBoMDPg40uNnZNiLx+MQT9gEzuWBs+MQzI24VQK+AKn6DobbFjNa34nt1+d7tioUDPbsCVWmXF+6gVY4bLFsWZ7ly91qgYYGq0YrFRERETg5hC0WDUzTwD6+x+XZhrCqIxARmXgKWUVmAschuH8/kXXrMEyTUnv7lN0AyZNOU/9f/0Vs7VoAzIYGBm69lfyKFTVe2dRjmjA05E62Dg56sW2In+MmWQC+Yo5wqh+vVSIbb2KobQmjjXMoROsmZuEybQwOeitTrrt2hcjlqsemW1pKlQ20lizJEwxO+YcBIiIis8q5hrDxuEU8fnIdgUJYEZELp5BVZAbxHzlC5Lnn8KZSlDo6OKfXmU+y0PbtNH7ve/iGhgBIX3UVQzfcgB2N1nhlU8+pNskqTyicS5Zu2Cbh9BCB3CilUIzh5vmMNM8nU9eG45m63ysyOWwbDh4MVDbQOnAgiG2PfYN5vQ4LFhRYvjzHihV5urpULSAiIjLVnU0Ie2InbDJpMXdukY6O0lT+U0JEZEpSyCoyw3gHBoiuXYv/yBGKc+aA33/mC9WIUShQ98gjxH/7WwzHwYrHGbzxRrKXXTZlJ3FrLZXyVHpbs1kPkci5b5KF4xDIpwinB3EMg3RdO0NtS0g1dmEGwhO2dplecjmD3btDlUnXgYHq+5Jo1GLp0jwrVuRZtkzVAiIiItPRS0PYXM7tg+3sLLF0aYGOjqLCVhGRs6SQVWQG8qTTRNatI7hvH6X2dpzw1A7OAvv30/jd7xLo7QUge/HFDN58M1Z9fY1XNnXlcgZ9/T56j2+S5fc7xOM2Pt+53U17SwXC6QF8xTz5aB2DbUsYbZpLPtagoFuq9PX52LnTDV137w6Rz1cn+ydWCyxenD/nWgsRERGZGopFg2PHfNi2wlYRkXOhkFVkhjIKBcLPP094xw7MhgbsM/yA11ypRPKXvyT5+OMYloUdDDL8treRes1r0GuSX16pdHyTrCM+hoe9eDwGsZh17t2Ztk0oO0Q4M0wxECHVOIfh1oWk69uxvVN3Glpqw7LgxReDx0NXt1rAccZCeY+nXC2QZ/nyHHPnqlpARERkujkxbO3oKLFsmcJWEZHTUcgqMpNZFqHt24ls3owTCGA2N9d6RWfk7+mh4cEHCe3fD0Bh7lwG3vUuSl1dNV7Z1GZZMDTkpbfXz+Cgj1LJDVvDYeecB1L9+TTh9CCG45BJNDHUtphU4xyK4Ske1EvNZLMGe/a8fLVAOOxWCyxfnmfZsjzNzWaNVioiIiLnqlg06OvzYVkGHR3FymSrz1frlYmITC0KWUVmOschsH8/0fXrMQoFd0OsqT5SZtvEfv976n/yEzz5PI7Hw+jrX8/Im9+MEwjUenVTmuPA6KiXo0d99PX5yWYNolGbWOzcNskC8FglwulB/Lk0xUiC4Zb5jDQvIJNomfrfQ1JTfX0+du1yp1x37w6Ry1WPvDQ2liqB69KleaJRu0YrFRERkbN1Ytja3l6sTLYqbBURcSlkFZkl/L29RNauxTcw4G6INQ1e5+MdGaH+4YeJPv88AKWmJgZvuYX88uW1Xdg0kcm4D4SPHnV7WwMBh0TCOvcvveMQzI0QTg9heX3HN8paTKqhCysQmpC1y8xhWXDwYIBdu8Ls3Bli//4gtj2W+BuGw9y5xeOha4758wtTeb8+ERGRWe/EsLW1tUh7u0kkYhMOu2+hkE0o5Og5eRGZdRSyiswi3uFhIs89R7C7m2Jn57SZCg1v2ULD97+Pb3gYgPSVVzL0jndgx+O1Xdg0USgaDA74ONLjZ2TYi2E4JBI2gcC536V7S3kiqQG8ZoFcrIGhlkXaKEvOST5vsHevO+W6a1eI3t7q+6FAwGbx4gLLlrmbaLW3l/StJSIiMgUViwaDg14KBQ+O4z4U9PkcgkGbYNB9vJlMlgNYpyqEnQbzHiIi50whq8gsY2SzRNevJ7h3L2ZLC3Y0WuslnRUjl6Pu5z8n/tvfYjgOVjTK0DveQeaqqxTunSXThOFhHz09PgYHfZjm+fe2GrZFKDNMMDtCKRDWRlly3oaGvOzaFWLXrjC7doVIpar/6orHLZYty7FsmdvpWldn1WilIiIicjqO427KWigYx//1UCwalFMEv98hEHDw+x2iUYtEwq48FnWnXzUFKyLTm0JWkVnIKJUIbdpEZPt2rEQCq66u1ks6a4EDB2h88EECR44AkFu6lMFbb50Wm3pNFY4DIyNejh3zceyYn1zu/HtboXqjrGy8kaG2JYw2dlGMJMd/8TKjOQ4cOeI/PuUaZu/eIKVS9V9ZbW1Fli1z+1wXL84TDk/5hyYiIiIClEpQLLrBa6lkUCwamKb74NMwqkPYWMwikbCIRm1aW0s0NupJVhGZ+hSyisxWtk1o1y4izz+P4/FgtrbWekVnz7JI/PrXJH/xCzylErbfz8ib3sToG96AmvfPTSZj0N/vo7f3AntbOWGjrHyaYijOSPM8Rprnk6lrw/HoNWFy7kolOHAgyM6d7pTrwYMBHGfsmQCPx2HevEIldJ0/v6C7ABERkWnItsE03eD1xBC2VDJIJCwuuSTHokUF1QyIyJSmkFVklgu8+CKR9evxZjIUOzun1a7xvr4+Gh56iPCuXQAU29oYvOUWCosX13hl08+pelvr688vbMVxCORGCacHcTweMpWNsjopBadHPYVMTdmsh9273T7X3btD9PVVV1O4fa75SrWA+lxFRESmv4EBL+m0lyVL8qxenSMatWu9JBGRU1LIKiL4+vqIrF2L/+hRil1dTKutvR2H6Lp11P/oR3hTKQDSr3wlQ9ddh637gHNmWW5H5uHDAfr6/CST5gW9HNtjFoikBvAVcxSiSYaaFzLaPJ9svGlaBfoyNQ0MeNm9O1wJXdPpU/W55iudrvX1eqmhiIjIdJTPG/T0BGhuLnHppVk6O0u1XpKIyEkUsooIAJ50msi6dQT376fU2ooTidR6SefEk81S99OfEn/qKQB3Y6zrryfzildoY6zzUCoZHDrk5+DBAB4P1NVZF/ZpdGxCmWFCmWEsf5BUfTvDrYtINXRi+UPjtm6ZvWzb7XMtb6L1wgtBisXqIL+5uVSpFliyJK9JGBERkWnEtqG3149hwMqVOVauzOP3T/mIQkRmEYWsIlJhFIuEn3+e8PbtWHV102pDrLLgvn00fO97BHp6AMgvXszALbdgtrXVeGXTj+O4k4L79gUZHfVS32ARGIcHsr5ijnCqH69lkovVM9SyiFTTHHKxRgXiMm7Kfa7l0PXFF6v7XA3DoatrbBOthQsLBAJT/mGOiIjIrDc66mFgwMe8eUXWrMnS0KBXqojI1KCQVUSq2TahnTuJbNqEYxjuhljTLfiyLBK/+Q3JRx/FUyrheL2M/OEfMvpHf4QTCNR6ddNOLmdw4ECQI0f8hMM28fj4TP8ZtuVOt2aHKQUipBo6GW5dSKquHdsfHJdjiJTlcgZ794aOh64henur7wt8PocFCwosW5Zj6dI8c+cWtbmGiIjIFFUqwZEjAeJxi9WrcyxYUFATlYjUnEJWETmlwMGDRNatw5tOuxtiTcO0wTswQMMPfkBk2zYASk1NDN5yC/nly2u8sunHtqGnx8+BAwEKBYOGhvPcFOtl+AsZwqkBDNskF29iqG0JqcYu8tH68TuIyAlGRrzs3j0Wug4P+6o+HgqNbaK1dKk20RIREZlqHAf6+33kch6WLs1zySVZIpEpH1mIyAymkFVEXpavv9/dEKu3l1Jn5/ScAnUcIps2Uf/ww/hGRgDIXH45gzfcgH2GOz052eioh337guOyKdapGLZJOD1EMDdCMRRjtKGL4ZZFZOrbsL3TaEM2mVYcB/r6fJXAdc+eENnsyZtoLV2ar7w1NZk1Wq2IiIicKJcz6Onx09ZW4tJLc7S3a1MsEakNhawiclqedJrI+vWE9u2j1NqKPc02xCozcjnqfv5z4r/9LYbjYIdCDL/tbaRe/Wrtcn+Oxn1TrJfhz6eIpAfBccgkmhluXUyqsYtCJDn+BxM5gW3D4cOByqTrCy8EKZWq7ycaG0ssXTq2iVYioU20REREasWy3Fdd+XzQ1VUgmbQJh21CIfctHHYIhezp+OI8EZlGFLKKyBkZxSLhzZvdDbHicaz66fsS7sDBgzQ89BDBgwcBKHR1MXjLLRTnz6/twqaZidoU61Q8VolwehB/Pk0pFGOkcS4jLfNJ17XjeH1nvgKRC1TeRGv37hC7d4c4cCCIbVc/s9DeXqxUCyxalNfLFUVERGpgdNRDOu2lVAIwcBzw+x0CAQe/3yEet0gkLGKx6vA1FLIJBh1VA4nIBVHIKiJnx7YJ7dpF5Pnnp++GWGW2Tez3v6fupz/Fm8vhGAbpa65h+I//GDsarfXqppXyplg9PX48Hod4wp6wsBXHIZBPEU4P4hgG2XgzQ22LSDV0UdR0q0yifN7ghReC7NoVZs+eEIcPV1epGIbDnDljoevChQUCgSn/EEpERGTGcRwwTSgWPRSLRuWt/GSpYTj4/RAIuCFrIuGGsOGwTSQyFsCGQjZ+NVeJyBkoZBWRcxI4dIjI+vV4RkYodXVNyw2xyjyjo9T/5CfEnnsOACsWY+i668i84hXTN0CuAdt2Nx3o7fUzOOjFsg3iMWvc+1pP5DFLhNMD+AsZiqE4I83zGG2eRzrZpulWmXTptIc9e0KVSddjx6r/CvN6HRYsKLBkiVsvMG9eAZ++TUVERGrOtt0qrLEA1g1jy8mH1+sQDLpTsJGITSJhEY9bVROw5f+rgUxEFLKKyDnzDgwQWbeOwJEjlDo6cILBWi/pggT37KHh+98n0NsLQH7hQgZvuYVSR0eNVza92La7Y/uxY376+nzk8wbRqE00ak9cZu04BHKjhDNDOIaHbLKZodbFpBo6KYa1sZnUxtCQtxK47t4dYni4OlENBGwWLSpUNtHq6irqDzMREZEpyJ2CNSiVxiZhTdN9YFuuIiiHsLHYyVUE5V7YQEBVBCKzgUJWETkvRjZLZONGQrt3YzY1YcfjtV7ShbEsEr/5Dclf/AJPsYjj8TD6utcx8uY3T/sQuRYyGQ99fT56evxkMh4CAfflVxM5+Owxi253ayFDMZxgpGkuI83zySRbNd0qNeM47qT3rl1u4LpnT4h0uvoHIRy2Wbw4Xwld29pKCl1FRESmOMdxp2BfOglr2+7HPJ6XryIoT7+WQ1hVEYjMDApZReT8mSbhbdsIb9mCEwxiNjfXekUXzDs4SP1//RfRTZsAMOvqGLrxRrKrV6tC4DwUigaDAz6O9PgZGfZiGA6JhD2x/ZSOQzA3SigzBIZBJtmi6VaZMmwbenv97NrlBq579oTI56sT1VjMYsmSsdC1udnU3Y+IiMg0U64iKBTc8LUcxp5YRRAIuG/hsH18U66x4PXEKoJp3NAmMqsoZBWRC+M4BPbvJ7JhA95cjmJnJzNhBCu0bRsNP/gB/oEBAHLLlzP4znditrTUeGXTk2nC8LCX3l4/AwM+TNMgFnMfRE5keFSZbs1nKIbV3SpTj2XB4cOBSqfrCy8EKRar70OTSZOlS/MsWZJnyZICTU1mjVYrIiIi4+XlqgjKqYvf7wawfr9DNGqRTNrEYlZV+Oq+qYpAZKpQyCoi48LX10dk7Vr8vb2UurpwAoEzX2iKM4pFEr/8Jclf/QrDNHG8XkZf/3pG3vQmVQicJ8eB0VEvx475OHbMRy7nIRRyiMetic3mq7pbDbLxZobaFpFq6KIYSU7ggUXOjWnCwYPBSp/r/v3BSvdbWUODWZl0XbIkT329VaPVioiIyEQ4dRWBgWW5jwkMg+MBrFtFEI/bJBIm0Wh1+BoKuR8XkcmhkFVExo0nnSayfj3BffswW1qwo9FaL2lc+I4do+GHPyS8fTsAZn09QzfcoAqBC5TLGfT1++jt8ZNKefH53AeIfv/E/qrxmCXC6QH8hQylUJyRxjmMtMwnU9eG7VUhlkwtxaLB/v3B45OuQV58MYhtV9/vNDeXjk+5upOuyaRCVxERkZmsXEXgTsJW98GC2wcbCIz1wcbjJomETSTy0ilY9cGKjCeFrCIyroxSidDmzYS3bcOORrEaG2u9pPHhOIS3bKHhhz/ENzgIHK8QuOkmzNbWGi9uejNNg4EBt0pgaMiLZUM85j4AnFCOQyCfIpQeAgOy8SaGj3e3FqJ1E3tskfNUKBjs2xesbKJ18GAAx6kOXVtbS5VJ18WL88Tjdo1WKyIiIrVgWZwQwHoq/y8nOj7fWBVBJOL2wcbj6oMVuVAKWUVk/Nk2wRdeILJxI0axSKmjY0b0tMLLVAi87nWMXHutKgQukG3DyIiXY8f89PX5yOc9RKMW0ejE9rbC8enWzCD+fJpSKMZoYxcjzQtI17Vh+6Z/9YXMXLmcwQsvhI6HrkG6u08OXdvbi5Up18WL88RiCl1FRERms/Pvg62egg2FnJnyZ57IuFDIKiITxt/bS2TtWnwDA+6GWDPotSi+vj7qf/hDItu2AWDW1bkVAmvWqEJgHGQyHvr6vBw96lYJBAJulYDPNxnTrWnCmUFwHHKxRoZaF5Fq7CIfrdfXVqa8TMbD3r1uvcCePSGOHDn5SYKOjmKlXmDx4gLRqEJXERERcTlOOYT1VNURlDviDaMcwtoEAhCLWcTjFrGYfdKmXMGgNuWS2UUhq4hMKM/ICNENGwgcOIDZ2oodidR6SeMqvGUL9T/8If6BAQByS5cy+M53Yra11XhlM0OhaDA44KOnx8/IiAfHMYjH3WfRJ5phmYQzQwRzoxQDEdINnQy3LCBd347lD0348UXGQzrtYe9ed8p1z54QPT3VoathOHR2jnW6LlqUJxKZ8g/3REREpEZs2637OnFDrlLJg3W8Et7jcfD7OR7Cnn5TrkBAIazMLApZRWTCGYUC4c2bCe/YgRWLYTU01HpJ48ooFkn86lckfvUrPKUSjsfjVgi86U044XCtlzcjWBYMD49VCRSLBtGoPSlVAgD+fJpwehDDtsjHGhhqWUiqsYtcvEnTrTKtpFJu6Lp7d4i9e4P09p4cunZ1FVm8uKDQVURERM7ZiZtylTfkOrEP1g1h3TqCEzflCoerp2DDYWfCN8QVGW8KWUVkctg2wT17iGzaNON6Wst8/f1uhcDWrQCYiQTD111H5oorZtxtraVUykN/v4/eXj+ZjGfyqgQAwzYJZYYJZUcoBcKk69sZbl5Aur4DMzizprRldhgd9VSqBfbsCXHsWHWti0JXERERGU8v3ZSrHMiW0yav1w1g3RDWJpGwKiFsOXwNBt3/z6A2OpkhFLKKyKTy9/YSWbcOX18fpc5OnMDM21QotG0bDT/8If6+PgDyCxYwdNNNFOfOrfHKZpZCwWBw0MeRHj8jwx4Mw6gU8k8GXzFLOD2IxypRCCcYbl5AqmkumUSLQnWZtkZGvFWdrmcOXQtEIup0FRERkfFRDmFP7IQtldxXjjkO+Hxjm3JFIu6GXCeGsCduzuXz1fjGyKyjkFVEJp0nlSKyfj3B/fsxW1qwo9FaL2n8lUoknnyS5GOP4SkWcQyD9NVXM/y2t2HH47Ve3Yzy0iqBUskgEpm8KgFsm1B2mGB2GNvrJ5tsdTfLqu+gFNbXWqa3kREve/YEj/e6njp07ewssXhx/vibNtISERGRiVMqcTx49VQqCUwTwJ2G9fvH6gjCYXcSNh63KlUEweBYLYHXW+tbIzONQlYRqQmjVCK0ZQvhrVtxIhHMpqZaL2lCeEdGqPvxj4mtWweAFQ4z8ta3kvof/wP9Vh9fjuNu8tPX5+Po0cmvEgDwlgqE0wP4izkK4QQjTXMZbZ5HJtmK7dXrmWT6K4eue/aE2Lv31KFre7u7kVY5dI3FFLqKiIjIxHMcME2qAthi0cCyxuoIygGsOwlrkUzalVfDndgHGwwqhJVzp5BVRGrHcQju20dk40Y8+TzFGdjTWhZ84QUaHn6YwOHDABQ7Ohi86SYKS5bUeGUz00urBMAgHp+8KgEcm2AuRSgzhGMYZONNDLcsIt3YST5aPzlrEJkE5XqB8qTr0aMnP5nQ3l5k8eI8S5YUWLw4Tzyu0FVEREQmXzmEPbGKwJ2EHXv5m9/vbsjl8zlEo24VQSx28iSsQlg5FYWsIlJzvmPHiKxbh//o0Rnb0wqAbRP7/e+pe+QRvNksAJlLL2XoHe/AqlfwNhFOrBLo7/dRKHiIRi0iEXvS8nyPWSKcGcSfT1MKRUnVdzHSPI90fTuWPzQ5ixCZJKOjHvbuDR1/C9LTc/L9eVub2+lannRNJq0arFRERESkmuNQ6YB9aQhbriHz+dwQ9nSTsOX/z9D5ITkNhawiMiV40mkiGzcS3LsXs6lpRveWejIZ6n7+c2K/+x2G42D7/Yz+0R8x+vrXz9yAeQpIpz309/s4etRHOu3F73eIxWz8/sn71ebPpwmnBzFsi3ysnqGWRaQbOsnGm2bsFLfMbqmUhxdeCFV6XY8cOfk+rrm5VDXpWl+v0FVERESmntOFsACGUV1HcOIk7Es35QqFHD38n4EUsorI1FEqEd62ze1pDQQwm5uZnJ2LasN/+DANDz9M6IUXADAbGhi6/nqya9bM6Ntda8WiWyXQ0+NjZMSLZUM85j7QmaxPu2GbhDIjBLPDWP4QmWQLw+XNskL63SUzVybjqdQL7N0bpLs7gONU/+A1NpaqJl0bG03dJYqIiMiUZ9tgmmPhazmIfbkQNhaziMdPPQmrOoLpSSGriEwtjkPgwAG3pzWVotTVNbM3iHIcIhs2UP+Tn+AbGgIgv3gxgzfe6N52mTC27fZJHjvmp6/PRz5vEA67D3Ym81llbzFPOD2Az8xTCCUZaZnHaONcMslWHK9v8hYiUgPZrMG+fW7gumdPiMOHA9h2daJaV2dWQtdFi/K0tip0FRERkemnHMKeOAV7uhC2ehJWnbDTgUJWEZmSvAMDRNavJ3D4MKX2dpxwuNZLmlBGsUjiV78i8atf4SmVcAyD9DXXMPzWt87o6oSpIpPxMDDgpbfXTyrtxetxiMdtAoFJ/LXn2ARzo4TSQzgeL9l4o7tZVkOHu1mWUiWZBfJ5g337xiZdDx4MYlnV3/vxuMWiRflK8NreXtLL7URERGTae+kk7Ok6YU+1MVcwWN0JqxB28ilkFZEpy8jliGzaRGjXLqx4HKuhodZLmnDewUHqf/ITohs2AGCHwwxfey2p17wGfJpqnGimaTA46IatQ0NeTNMgGrWJROxJzTirNssKREg3dDDSsoBUXQdWQJtlyexRLBrs3x/khRfc4PXAgQClUnWiGolYLFpUqASvXV1F/VEhIiIiM86ZNuZynOpJ2JduzFUOYcuBrP68HH8KWUVkarNtgnv2ENm0CaNYpNTRMSs2CAq+8AL1P/whwUOHACi1tDB4ww3kL7qoxiubHRwHRke99PV56evzk8l4CQRsEglr0sOb8mZZHtskH6ljuHUhqYYusolmHI+SJJldSiU4eDBY6XXdty9IsVj9OyEYtFmwoFwvUGDevAJ+f40WLCIiIjJJzjaELQex4XB5EtYmHB6rIijXEujx07lTyCoi04K/t5fIunX4+voodXbiBE7eoXrGsW2izz5L/SOP4E2lAMitXMngO96B2dZW48XNHvm8wcCAj96jfkaGPYBBPO4+GzyZDNsimB0hlBnG8vnJJlrcwLW+g2IkOalrEZkqLAsOHw5U6gVeeCFILlf95IPP5zB//tik64IFBYLBKf+QVkRERGRcOQ6YJhSLnpM6YctpXzmEdSdh3SnYRMKu2pSr/K/fr8dTL6WQVUSmDU86TWTjRoJ792I2NmKf4U5rpjByOZL/9/+SePJJDMvC8XhIveY1jLz5zdiRSK2XN2tYFgwPuxtl9ff7KBRqs1EWgLdUIJQZxF/IUgrFGW3sZKRpPum6Nmx/cHIXIzKF2Db09PjZuzdUqRhIpapDV4/HoaurWJl0XbSoQDRq12jFIiIiIlNDOYQtlapD2FLJqHzc5/v/s3dnQXLd53nwn7Mvvc9Mz4rBRnABNxBcwAWkKEqyFctWbF985UpSkSrOXcpOyr7wEqeccm50oaqUUrarnErlNhXHKUeKos0SJdHcCZIgsS8czL5vvZ19+y7OTA8GaGwEMN0z8/yqpiCdxhD/ITHT3U+//bwbdQS6HiOXi5DNpvVq1y7n2tL9Fh2CISsRbS9BAOPcORhnziCRJIR9fbtmIZC8sIDS//k/MM+cAQBEponq176G+ssvgwWEW6vR2FiU1WhIkKQ2LMoCgCSB6jZgWCtAEsPNdGG19yAaXUOwcz27olqD6GaSBFhclK+adNWxsnJ9AdnAgN/sdX3gAQ+lUtSG0xIRERF1tnQSVkAQiJtC2PW0UJI26gg0LUEuFyGfj3DggI9CYec/vmLISkTbT5JAnZyE+fHHkKpV+ENDu2oplH7hAkp///dQZ2cBAEFfH1Z/67fgPPbYrgmcO0UQCFhZlTDf5kVZACDEIXSrAs2uIlI0WPleVPoeQKM0AN/YHVPfRLdjZUXCyMhG6Do/f33hWHd3gAce8HDoUBq8lsshf7wSERER3UIU4ao+2HQi1rZFvPZaHQcPeu0+3n3HkJWIti1pdRXmRx9BnZhA2N+/u946H0XIvvsuij/4AaRGAwDgPPIIVn/7t9PlYLSl4hio169elCVCVdPpVlne+rtOyXdhWCtQfAeenkOtexi18j40Cn2sEyC6Rr0uYmQkDVxHRjRMTalIks2Jai4XNadcH3jAxdBQwEFxIiIiotswPq7ilVcaDFmvwZCViDqO4HkwPv0U+oULSEwTYU9Pu4+0pZp9rW+8ASEMkQgCGsePo/K1ryHO5dp9vF3J8wSsrMiYnZVRrUpIEiCbTTuKtnwSLkmgunUY1iqQJHAzpbROoHsIdpZ1AkStOI6AsbGN0HVsTEMYbv7m1fUYBw5s1Avs2+dxAy8RERFRCwxZW2PISkSdKY6hjY7COHkSouOkk5y7rKNUXlxE8f/+X2Q++QQAEOs6ql/9Kmqvvgo+82+POE4XZS0uKlhclOG6AnQ9XZTVjr+eQhRCt9frBHRYhV5Ueg+yToDoFoIAmJjQmtOuV65ocN3NL1DIcoK9e73mpOuBAx5Ms+MfNhMRERHddwxZW2PISkQdTV5agvHRR1CnpxEMDCAxjHYfactply+j9Pd/D21qCgAQ9PRg9Td/E86RI+xrbSPLErC8ImN+TkG9LkEUgUwmgq6352712jqBevcQqj37YRX7ECl6W85EtF3EMTAzozQnXUdGNNRqm3vBBSHBwEBwVcWAh2Jx5y97ICIiIroWQ9bWGLISUccTHAfGqVMwLl5ElMkg6u5u95G2Xhwj88EHKH7/+5BrNQCAe+gQVn/7t+Hv3dvmw+1uYSigUhExP69geVmG74swjBjZbNSed+5vqhOI4Wa6UCkfQKN7CFauzDoBotuQJMDSkryp13Vx8fp3EHR1hc3Q9eBBD3197HUlIiKinY8ha2sMWYloe4hjaJ99BvPUKYiOA38X1gcAaV9t/mc/Q/711yEGAQCg8eyzqHz964i6utp8ut0tSQDLErG0JGF+XkGjIUGS0kVZqtqeu1ohDqFbVWhOFZGkwC70odJ7AI3SIDyz0JYzEW1XtZrYDFyvXGm9TCuTiXDwYBq4PvCAi+FhH7J8g38gERER0TbFkLU1hqxEtK3ICwswP/4YyszMrq0PAABpdRXF738f2RMnAACJLKP22muo/sqv7Np/J50kCASsrEqYn1NQqUjwfQGZTIxMJm5bw4MUuNCtVSiujcDIol4aQrW8D43iACKVdQJEd8p1BYyOpoHryIiOsTEVQbB5jFVRYuzb569Nuqa9robR8Q+9iYiIiG6KIWtrDFmJaNsRbBvmqVPQL1xAlM/v6glOdXISpf/zf6BfvgwAiLJZVH7t19A4fnxXTvp2miQB6nWpOd1qWSJUNZ1uleU23f0mCVS3Ad1ahRiHcM0iKuX9aHTvgZXvRSJx7I7o8whDYGpK3TTtalmbfw4LQoLBwQAHD25UDJRK7HUlIiKi7YUha2sMWYloe4qitD7g008h+D6CwcHd2zWZJDDOnEHpu9+FsrAAAAj6+rD6W78F57HHuByrQ3i+gJVlGTOzCqoVEYIgIJeLoGntuxsW4giaXYVuVxGLIuxcD6q9B1EvDcLNdvHvDtFdiGNgfl7BlSta82NpqXWv69Wha38/e12JiIioszFkbY0hKxFta/LcHMyPP4Y6Pw9/YACJvovf9hxFyL79Noo/+hGkRgMA4D74IFZ++7cRDA+3+XC0LoqA1VWpuSgrCNIqAdNsX5UAAIihD8Naheo2EKgmGsU+VMsH0CgNINB530t0L1SrUjNwHRnRMD2tIo43f+MbRoQDB3wcPOji4EEP+/b5bet1JiIiImqFIWtrDFmJaNsTbRvGJ59Av3Rp19cHAIDgOCj8wz8g/8tfQghDJIIA67nnUPmN30BUKrX7eLQmrRIQsbAgY2EhrRIwjATZbNT2pgfZs2FYK5ADD65RQK1nGPXuYTQKfYgVrb2HI9pBPE/A2JjWrBcYHdXg+5vHWEUxwd69Pg4c8JrBaz4ft+nERERERAxZb4QhKxHtDFEE/fJlGKdOQfR9+AMDu76TVFpeRun730fmo48AALGioP7FL3I5VgdyHAHLyzJmZxXU6hIkMUEuH0NV2nwXncTQnDp0axUA4GZKWO09CKtrEHauB4m4u7/HiO61KAKmp9VNFQPV6vU9yeVygAMHvOZCrd7ekBUDREREtGUYsrbGkJWIdhR5fh7myZNQZmYQDAwwTASgjo2h9N3vQh8ZAQBEmQyq/+SfoP7yy4DMJUedJAwFrKxImJtTsLIiIYoFZDMxDKO9VQIAIEQhdLsCzakhkhTY+TIqvQdglQbhmkX2txLdB0kCrKxIuHJFb4aus7MKkmTz95tpRjh40FubdvWwdy8rBoiIiOj+YcjaGkNWItpxBNuGeeoU9EuXEJsmwp6edh+p/daXY33ve1Dm5wEAQU8PKl//OuyjRxmQdZg4TrsbFxdlLC7KcBwJqhojl4shy+2/25YCD7q1CsWz0v7W0gCq5f2wSgMItEy7j0e0o9m2gNFRDaOjafA6NqYiCDaPsUpSguFhVgwQERHR/cGQtTWGrES0M8UxtCtXYHzyCUTHQTA4uOvrAwCky7Heew+FH/4Qcq0GAPD27sXqb/0WvAcfbPPhqBXHEbC6KmNuTkat1lnTrQCguA3o1iqkMIBn5NnfSrTFogiYmtpcMVCrXf8uhZ6eoDnpevCgh/7+gBUDRERE9LkwZG2NISsR7Wjy0hKMjz+GOjWFsK8PcYZTdgAgeB7yP/858j/7GUTfBwDYjz+Oyj/9pwgGBtp8Omplfbp1aUnGwsLGdGs2G0Npd3crsNbfWoNuVQCk/a2V8gE0ugZh58vsbyXaIkkCLC/LGB3VbloxYBgx9u/3mjUD+/d70LQO+FlCREREHY8ha2sMWYloxxNcF8bp09DPn0ei6wjLZb49fo1Yq6H4ox8h+847EOIYiSCg8eKLqH7ta4gKhXYfj27AdQWsrHTudGva31pd62+V4eR7UOk5gEZpAG62i99/RFvMtgWMj2+ErmNjGnx/8xirICQYGvI3TbuWShG/XYmIiOg6DFlbY8hKRLtDkkAdHYX5ySeQ6nX4g4OAorT7VB1Dnp9H6f/+X5inTgEAYlVF7bXXUPvyl7k8rINdPd26uCjDtkWoatI5063Y3N8aqiYaxT7UyvvRKPbDN27+IIWI7o8oAmZmFFy5oq/1u2pYWbm+YqBQCJuTrgcOeNizx+e+RCIiImLIegMMWYloV5FWVmCePAltfBxBuYw4l2v3kTqKduUKit/9LvTRUQBAlM2i+tWvon78OEPpDue6G92t1aqEKBJgmjEymc6YbgUA2bNhWKuQAhe+nkO9ewi17r1oFAcQqXq7j0e0q62uShgb25h2nZpSEcebf3goSozhYX9T8JrLcaEWERHRbsOQtTWGrES06wi+D/3sWRjnziGRJIS9veD2j6skCYxPP0Xp+9+HsrAAAAi7ulD59V+H9eyz/HfV4eIYqNUkLC5JWFpUYFkiFCWdblXVDrnLT2KoawuzxDiCaxZRLe9HvWsIdqEXscRAn6jdfF/A+LjanHQdHdVgWdd3K5fLQTNwPXDAw8AAF2oRERHtdAxZW2PISkS7U5JAnZqCcfIk5OVlBIODSDRuQt8kipB97z0UfvhDyLUaAMAfHMTqP/2ncB99lL2a24DnpdOt8/MyKhUJYZhOt5pm3DEhiBBH0OwqNLuKRBThZrpQKe9Ho2sIdq6HoT5Rh0gSYHFRxpUrG6Hr7Kx63e/T9Rj79m2Ervv3ezDNjn+6QURERHeAIWtrDFmJaFcTazWYn34KbWQEUaGAqFRq95E6juD7yP3ylyj87GcQHQcA4B46hNXf/E34+/e393B0W+IYqNclLC9LmJ9XYNsiJCmdbu2kbeJiGEC3K1CdGiJZhZ0vo1peW5iVKTHYJ+owti1ibCyddr1yRcP4uAbPu/6Fkf5+f9O0a29vyNdPiIiItjGGrK0xZCUiCkPoly/DOH0aou/DHxgApOvfErnbiZaF/E9/ivwbb0AIQwCAdeQIKl//OsK+vjafjm6X7wtYXU3D1kpFgu8LMIwE2WzUUaGHFLjQrQoXZhFtI1EEzM4qmyoGlpaur/8wzQj7928Er/v2edD1jn9KQkRERGsYsrbGkJWIaI08Pw/z5EkoMzMI+/sRm2a7j9SRpJUVFH/4Q2Q++ABCkiARRTReeAHVX/s1RMViu49HtylJgHpdxMpKWifQsCRIIpDJRNC0pKOGRhXPgm5VIAUuAj2HWtcg6j170Sj0I9T4fUrUyep1sblQa2xMw/i4iiDY/IqOICQYGNjc7Vouhx31c4iIiIg2MGRtjSErEdFVBMeBcfo09AsXkOg6wnKZb1G+AWVmBsXvfx/mmTMAgFhRUH/1VdS+8hXEmUybT0d3IgwFVCoSFhZkrKzIcJyN6daOGupOkk0Lszwzh2rPPtRLe2AVehEr7FUm6nRRBExPb16otbIiX/f7MpkI+/ev97r62L/f66h6EyIiot2MIWtrDFmJiK4Vx1DHxmB+8gmkWg3+0BCgcNv5jWgjIyh+73vQR0cBALFhoPrlL6P+xS9ymdg2ZFkiVlbSOoFaLZ02y2RiGEZnTbcijqE76cIsQICbKaJa3odGaRB2voxY4vcs0XZRrUoYHVUxNpaGrhMTGsJw8w8cQUgwOBg0g1dOuxIREbUPQ9bWGLISEd2AVKnAPHkS6tgYwu5uxLf4gbqrJQmMs2dR/P73oc7MAACiXA7Vr34V9ZdeYki9DYUhUKtJWFxUsLQkwXEkqGqMbDaGonTWQwchDqHZVeh2FbEowc12o1LenwauuR50VNksEd1SGAJTUxuh69hY62nXtNvVw4ED6aTrvn0eDKOzfj4RERHtRAxZW2PISkR0M0EA4/x5GGfPAnGMYGCAgc3NxDHMjz9G8Qc/gLK0BAAIu7pQ+drXYD33HP/dbVOOI2B1Ne1urVYlRJEA04xhmnHH/ScVwwC6vQrVrSOSNdi5HlTLB9Ao9sPNdrH+g2ibunbadXKydbdrf3+wqWagry/ouJ9TRERE2x1D1tYYshIR3QZlZgbGJ59AmZtD0N+PhEuxbi6KkH33XRR+9CPItRoAwB8YQOXXfx3Ok08y6Nqm4jidbl2vE7BtEZKUIJOJO3IzuBS40K0KFM9CqJqwCr2olvfDKvbDMwvtPh4R3YUwTLtdN6ZdVSwvX/+uCcOIsW+fh/371z98ZDJxG05MRES0czBkbY0hKxHRbRJtG8apU9AuXeJSrNsk+D5yb7yB/M9+Bsm2AQDevn2ofP3rcB9+uM2no7vh+wJWKxIW15Zl+b4AXe/AZVlrZM+Gbq1CDl0EWhaNYj9qPfvQKPQhMHLtPh4R3QO1mripYmBiQoXvXz/G2tsbXBW6ehgcDDry5xYREVGnYsjaGkNWIqI7sb4U69NPIVWrCAYHkahqu0/V8QTbRuH115H75S8h+j4AwHn4YVR+4zfg79/f3sPRXUmSzcuy6nURggCYZgcuywKAJIHiWdCtVUhhAN/Iod41iHr3MBqFfoQap9SJdoooAmZmVIyNpROvY2MaFhaun3ZVlBh79/rN0PXAAR+FQtSGExMREW0PDFlbY8hKRPQ5SNUqjJMnoY2OIioWEZVK7T7StiDWaij85CfIvf02hCh9Ams//jgqv/7rCPbsafPp6G6FYdqbuLS0eVlWJhtD7bBlWQCAJIbq1KHbFYhxBM/Mo9Y1jHr3MKxCLyJFb/cJiegesyxxU+g6Pq7Bca6fdi0Ww00VA8PDPlS1A3+OERERtQFD1tYYshIRfV5BAP3yZRhnzkD0ffgDA+D7DW+PvLSEwo9/jMwHH0BYuxuynn4ala99DWFfX5tPR/fC+rKshQUZlYqEMBSQyXTmsiwAQBxDc2rQ7QqABJ5RQLW8H42uQVj5XsQyJ9aJdqI4BhYW5GboOjqqYXZWQZJsHsMXxQRDQz727/exb1+6WKtcDjtvWp+IiGgLMGRtjSErEdFdkufnYXzyCdSZGYS9vYgzmXYfaduQ5+ZQ/NGPkPn4YwBAIgiwjh1D5dd+DVF3d5tPR/dCHAP1erosa2FBRqMhQRSBTCaCrndgnQAAIQ6h2TVodhUQRbhmEdXyPjRKg7DzZcTS9W83JqKdw/METExsTLuOjamo1eTrfp9pRti3L60ZSJdrcakWERHtDgxZW2PISkR0DwiuC/3MGRgXLwKiiKCvD505rteZlKkpFH/wA5hnzgAAEklC48UXUf0n/wRRgVvgd4ogEFCpSFhcTJdlua4ATUuQzcaQ5c58OCJGATS7CtWpAaIEJ9OFSnk/rNIA7HwZicjpdaKdLkmA1VUJ4+PppOv4uIrJSRVBcP39fLkcNAPXffs87NnjQ74+nyUiItrWGLK2xpCViOheSRKok5MwPv0U8uJiuhRLZ6fjnVDHxlD8f/8vDasBxIqC+iuvoPaVryDOcQP8TmJZAioVGXPzCuo1EVEkwDRjZDJxR063AoAYBtDtClS3jkhS4GS7UC0fgFXqh53t4QsrRLtIFAHT0xtLtcbHWy/VkuUEe/Zsnnbt7mbNABERbW8MWVtjyEpEdI+J9TqMU6egX76MOJtF2N0NPpu6M9rlyyh+//vQR0cBALGmofbFL6L+pS8hNrn9fSeJ43RZ1vKyhMVFBbYjQhITZDIxdL1zH6KIoQfdqkBzGwgVDXauB9We/bBK/XAyXQxciXYhyxIxPr4Ruo6NqbDt66fds9kIe/emgev+/R727mXNABERbS8MWVtjyEpEdD9EEbQrV2CcOgWpXk+nWlUuzrkjSQL93DkUf/ADaJOTAIDYMFB77TXUvvhFJIbR5gPSveb5a3UCCzJWV2V4ngBdTwPXTq0TAAApcKFbFaiehVDVYefKaaVAoQ9utosvshDtUkkCLC3Ja6FrGr5OTamIout/JpTLwdq0a1ozMDTkQ2H9MxERdSiGrK0xZCUiuo+k1VUYn3wCbWwMUbGIqFRq95G2nySB+emnKPzwh1BnZwEAkWmi9uUvo/7qq0g0rc0HpHstSQDbFteWZSmo17dHnQAAyL4Dza5AcS2Emgk7X0a1vB9WsR+uWWTgSrTLBcF6zUAavI6Pa1hcbF0zMDTkbwpey2XWDBARUWdgyNoaQ1YiovstCKBfvgzjzBmIrgt/cBDcgvE5xDHMkydR/NGPoMzPAwCibBa1r3wF9Vde4aTwDhVFQK3Wuk5A05KODhxk34ZuVSD7DgLVhF3oTQPXQh88s8DAlYgAXF8zMD6uwrKurxkwzQh796aB63rwms+zZoCIiLYeQ9bWGLISEW0ReXExnWqdmkLQ3Y34Fj+g6QbiGJmPPkLhRz+CsrgIAIhyOVR/5VfQOH6cYesO1qpOQNMSZLOdXScAAIpnQbMqkAMXgWbCKvaj1rNvI3AlIlqzXjOwPuk6Pq5iclJDGF7/wkxXV7gpdB0e9qFpnf3zkIiItj+GrK0xZCUi2kKC70M/fx7GuXNAFCEYGACk66dV6DZEETInTqDw4x9DWV4GAISFAqq/+qtovPgiWGa3s1mWiNVVCfMLCuq1jToB04w7e+dUkkDxLOh2FVLgItCzaBT61gLXXvgMXImohTAEZmfVqyZeVczPK0iSzcGrICQYGAiawevevR4GBwM+1CAionuKIWtrDFmJiNpAmZ2F8emnUGZmEPb1Ic5k2n2k7SuKkH3vPRR+8hPIq6sAgLBUQvWrX0Xj+edZzbDDxXFaJ7De32pZIkQRyGQi6Hpn1wlsBK4VSIGXBq7FftS69zJwJaJbchwBk5Mb067j4xoqlevv8xQlxp49fnPadd8+Hz097HclIqLPjyFrawxZiYjaRHAcGGfPQr94ERBFBH196OwRvA4XBMi++y4K//APkKtVAEDY1ZVOtjJs3RWCIK0TWFqSsbwsw3UFqGqCTDaGqnT4w50kgeI1oFsVSJGPQMuhUbxqwtVgvQgR3Vq1Km2qGZiY0OA41z+2YL8rERHdDYasrTFkJSJqpySBOjUF45NPoCwtwe/vR2IY7T7V9hYEyL39NvI//SnkWg0Aw9bdyLYFrK7KWFiQUa1KCEMBhpEgk4k6/22zLQPXftR69jJwJaI7Esfr/a4b065TU2rLftdiMe13TcPXtGrAMDr+qSIREbUBQ9bWGLISEXUAsdGAceYMtEuXkGgawnKZU613SfB9ZN95Z3PYyhqBXSeOgXpdwuqqhIUFGY2GBEFIYJoJDCPu/LfLJglUtwHNrkCKAgRaFvXSAOrdwwxciehzCUNgZkZthq4TEyrm5q7vdwWA3t7gquDVw549PivPiYiIIesNMGQlIuoUcQx1YgLGp59CXllBwKnWe4JhK60LQwGViojlZQXLyxIcR4QkJchkYuh6xz8cApIYqmutBa7XTLjmy+xwJaLPzXXTfteJiY2J15WV6+8fRTHB4OD6pGs67TowwMVaRES7DUPW1hiyEhF1GLFeh3HmDPTLlxHrOsKeHk613gMMW+lqnidgdVXC4qKMSkWG5wnQtDRwVTq9vxW4QeDax6VZRHTP1OsiJiY2gteJCQ31+vVp6vpiratrBsrlkA9diIh2MIasrX2ukPWv//qv8e1vfxtzc3M4cuQI/vIv/xLHjh274e+vVCr4sz/7M/z93/89VlZWsG/fPnznO9/B1772tdv68xiyEtGuE8dQx8ZgnD6dTrUODCDR9Xafake4Ydj6q7+KxgsvMGzdZZIEsG0RKysSFhYV1GsiokiAacYwzXh7hARXVwqEPgI9m064MnAlonsoSYDVVemq0DUNXl33+h+Uuh5j715vbdo1rRoolaLOr2ghIqLbwpC1tTsOWf/2b/8W3/jGN/A3f/M3eP755/Gd73wHf/d3f4eLFy+it7f3ut/v+z6OHz+O3t5e/Pt//+8xNDSE8fFxFItFHDly5Lb+TIasRLRbibUajNOnoY+MIDaMdKqVz1DuiRuGrV/5ChovvgiWzu0+cQzUahJWVtIJV8tKJ7YymQiGkWyPb72rl2atBa5WoW+tUqAXnlngzxAiumfiGFhclDcFr1NTKoLg+uA1m42aFQPr4WuhELXh1EREdLcYsrZ2xyHr888/j+eeew5/9Vd/BQCI4xjDw8P4/d//ffzJn/zJdb//b/7mb/Dtb38bFy5cgPI5n7AyZCWiXS2OoY2Owjh1ClKlgmBwEImmtftUO0bLsLVQQO0rX0HjpZeQqGqbT0jtcHV/69JS2t8qy9uovxXYCFztKuTAg69nYOV7UevZB7vQC9csMnAlonsuioDZWQUTE+lSrfFxFTMzKuL4+p83hUK4adp1eNhHNhu34dRERHQnGLK2dkchq+/7ME0T//t//2/81m/9VvP6N7/5TVQqFXzve9+77nO+9rWvoaurC6Zp4nvf+x7K5TL++T//5/jjP/5jSDdoSPc8D5638R+qVqtheHiYISsR7WpStQrj1CloIyOIs1mE3d0MSO6lIED23XdR+OlPIVcqAIAol0P1y19G4+WXGWzvYq4roFKRsLiooFKR4HkCVDVBNrtN+luBtcDVgmZXIQcuAtWEXehNJ1wLfXAzJf48IaL7JgiA6emNioGJCRVzcwqS5PqfO11d4aZp1+FhD6a5TX7WEhHtEgxZW7uj4rmlpSVEUYS+vr5N1/v6+nDhwoWWn3PlyhX8/Oc/x7/4F/8CP/zhD/HZZ5/h3/ybf4MgCPAf/+N/bPk53/rWt/AXf/EXd3I0IqIdLyoU0HjpJQQDAzBOnYI6Pp52tTL8uzcUBY0vfAGNF19E9oMPUPiHf4C8soKu734XhZ/9DLXXXkP9C19gN+4upOsJ+vtD9PWFsG0RlYqE+XkFtZqIMBRgGAkymaizt2sLAgI9i0DPpoGrbyNTnUdhcQyhasLOdaNa3p8Grrnudp+WiHYYRQH27/exf78PoAEgXUA4OZkGr5OTad3A4qKClRUZKysyPvkk0/z8cjnYVDWwZ4+/fd5VQEREu8YdTbLOzMxgaGgI77zzDl588cXm9T/6oz/CG2+8gffff/+6z3nooYfgui5GR0ebk6v/+T//Z3z729/G7Oxsyz+Hk6xERDcnVSowTp9Op1ozGXa13g9RhMyJEyj85CdQlpbSS6aJ+muvofbqq0gMo80HpHaKY6Bel7C6KmFhQUajISIBkDETmGa8rb4dZd+GblUg+w4CPYu5/UexPHSYP1OIaMvZtoDJSa0Zvk5MqFhevr5yThAS9PUFGB72mxOvQ0M+NI3BKxHRVuAka2t3NMna09MDSZIwPz+/6fr8/Dz6+/tbfs7AwAAURdlUDXD48GHMzc3B932oLbruNE2DxsksIqIbiorFzVOtY2PpVCunLO8dSYL1wguwnnsOmY8+SsPWhQUUf/AD5H/+c9RefRX1L34RcSZz638W7TiiCBQKEQqFCHv2BKhWRSwvy1helrG4KEMUN/pbOz2rDFUTDdUEAOiNFQxdfhdS4GFx35NIxE4ezyWincY0Ezz8sIuHH3ab1yxLbAauExNpALu6KmNuTsXcnIoTJ9LfJwgJ+vuvDl49DA0FUFUGr0REtDXuKGRVVRXPPPMMXn/99WYnaxzHeP311/F7v/d7LT/n+PHj+B//438gjmOIYrpl8tKlSxgYGGgZsBIR0W2SJHiHDiEol2GcOQN9ZASxrqdTreL1W33pc5IkWMeOwXr2WZgnT6Lw4x9DnZtD8cc/Rv4Xv0D9lVdQe+01xLd4VZN2LllO0N0dobs7guf5qFQlLC+lb3et1QQoShq4bocJKzfbhViUMHjlBKTQx/zBpxFLn29xKRHRvZDJxDh82MXhwxvBa60mrk27as0AtlaTMTurYnZWxQcfpL9PFNPgdb3bde9eH4ODDF6JiOj+uKO6AAD427/9W3zzm9/Ef/2v/xXHjh3Dd77zHfyv//W/cOHCBfT19eEb3/gGhoaG8K1vfQsAMDk5icceewzf/OY38fu///u4fPkyfvd3fxf/9t/+W/zZn/3Zbf2ZtVoNhUKBdQFERDcSx9DGxqCfPg15ZQVBfz/fzn6/xDHMU6fSsHV6Or2kKGi89BJqX/4yolKpzQekTuE4AioVGQsLMqpVCb4vQNfTOoFOX5ileBYylTksDR3G7APHEKmckieizlatSmv9rhtTr/X69dP4DF6JiO4e6wJau6NJVgD4nd/5HSwuLuLP//zPMTc3h6eeego//vGPm8uwJiYmmhOrADA8PIyf/OQn+IM/+AM8+eSTGBoawr/7d/8Of/zHf3ynfzQREd2IKMI7eBBBTw+MM2egffYZEk1DWC5zqvVeE0XYTz0F+8gRGGfPovCTn0AbG0P+jTeQe+stNI4dQ+1XfiX9d0+7mmEkMIwA/f0BGo10YdbCYrowK4rSwLVTF2YFWgb1riGUp89DDn1MP/hCujSLiKhDFQoRnnjCwRNPOACAJLk2eE2nXhsNCTMzKmZmVLz3Xvpz7drgdXjYZ9UAERHdsTueZG0HTrISEd2BOIY6Pg7j1Ckoy8vw+/uRmGa7T7VzJQn0S5dQ+MlPoF++nF4SBNjPPIPqr/4qgoGBNh+QOkkcA7VaujBrcXFjYZZppBOunfaaiBgGKCxPoNo9jOmHXoKXKbb7SEREn1uSAJXK5uB1cjINXq+1HrwOD/trPa/seCUiWsdJ1tYYshIR7VBio5FOtV6+jERREPb2cqr1PtOuXEH+Jz+Bee5c85r95JOofvWr8PfubePJqBOFoYBaTcTyioylRRm2LUIUAdOMYBidszBLiEMUliZg53sx9fBLsPO97T4SEdE9c23wOjm5MfF6rauXa60v2Boa8rdF5zYR0b3EkLU1hqxERDtZHEOdnIRx6hTkpSWEvb2IM5l2n2rHUycnkf+Hf0Dmk0+a15zDh1H96lfhPfBA+w5GHcv3BVSrEpaXZSwvS3BdEZK0sTCr7YFrEqOwPAnXyGP6oZfQ6Bpq84GIiO6fVsHr5KTasuNVEBL09W0Er8PDPvbs8aHrHf80m4joc2PI2hpDViKiXUC0LOhnz6ZvZxcEBH196MgiyB1GmZ1F/qc/RebDDyGs3d26Bw+i+qu/CvfRR9H+5Iw6kesKqFQkLC3JqFRkuK4AVU0D17a+TTVJkFudRiSpmHnoBVR6D7bvLEREW2y94zUNXTcWbNVq1685EYQE5XJ4VfDqYc8eH6bZ8U+9iYhuC0PW1hiyEhHtFkkCZXo67Wqdm0PY04P4FncSdG/Ii4vI/+xnyH7wAYQwBAD4Q0Oo/sqvwD56lDUOdEOWJaBalbG4KKNaleB56wuzYihKex7CZarzEOMQMwefw/LQYb5YQES72rXB6+Skikql9X7pnp6gOemaLtnykcnEW3xiIqK7x5C1NYasRES7jOC60C9cgHHhAoQwhN/XByhKu4+1K0jVKnI//zlyb70F0fcBAEG5jNqXv4zGsWP870A3lCRAoyGiUpGwsKigXhMRhhuBqyxv7cM5vbEM1bUwt/8olvccRqToW/rnExF1snpdxNRUOuk6NZUGr8vLre/jS6VwU83A8LCPQiHa4hMTEd0ZhqytMWQlItql5Pl5GKdOQZ2aQlQsIiqV2n2kXUO0LOT+8R+R++UvIdk2ACAsFFD70pfQOH4ciaa1+YTUyeIYqNclrK6KWFxU0GiIiGMBhhHDNOMtawJR7SrMxjLcTAm17mE0SoOw8r2IVAauRETXsiyxGbiufywutg5e8/mwGbiu/9rVFfGNA0TUMRiytsaQlYhoFxOCANqlSzDOnYNo2wgGBpCoaruPtWsInofs228j/4tfQK5UAACRaaL+6quov/oql5TRLUURUKtJWF2VsLgow7JEJBBgrgWu97uJQohDaHYNmlMDAHhGHrWeYTSKg7ALvQhV4/4egIhoG3McoRm8Tk2lH3NzCpLk+jTVNKPrgtdyOWTjEBG1BUPW1hiyEhERpOVlGKdPQxsbQ5zNIuzuZs/iVgoCZD/8EPmf/hTK4iIAIFZVNI4fR+211zhlTLclDAXUaiKWVyQsLSqwHRECgEwmhmHE9/1bWohDaE4dml0Fkhi+mUettAeNriHYhV4EGl80ICK6Fd8XMD2tNIPXyUkVs7Mqouj6H+KqGmPPHn9T+NrfH0BuXQlLRHTPMGRtjSErERGlwhDa6CiM06chVasI+vuRGJxC21JxDPOTT1D46U+hTk0BABJJgvXss6h+5SsI+/vbfEDaLoJAQLUqYnlZwcqKBNsWIYrpJJRhJFsQuEZQnTp0pwohjuAZeTRKA6h37YGV70Vg5O7vAYiIdpAgAObmNmoGpqZUTE8rCILrx1hlOcHAgL8pfB0aCqCqHf+0n4i2EYasrTFkJSKiTaRqFfqZM9BGRpCoKsLeXvC9aFssSaCfP4/Cz34G/fLl5mX7iSdQ+8pX4B082MbD0XbjeQKqVQnLyzJWViS4rghJSmCaMXT9/geuiGNobjrhKsYhfD2HRrEf9e5hWPkyfLNwnw9ARLTzRBGwsKBcVzfgONc/ZhOEBH19AfbsCbBnj7f2q49MJm7DyYloJ2DI2hpDViIiul4cQ52YgHH6NOTFRYTlMuIcJ8/aQR0bQ/5nP4N56hSEtbts9+BB1H7lV+A8+igDcLojrpsGrotLMiqrMlxXgCwnyGRiaNoWBK5JDNVtQLOrkCIfgZaFVehDrWcv7HwZrllkVQkR0eeUJMDysrypamBqSkW93nojYldX2Jx4Xf8oFrlgi4hujSFrawxZiYjohkTbhnbuHIzLl4EoQtDfDxZ9tYc8P4/8668je+IEhDAEAPgDA6h9+cuwnn0WW7ZSnnYMxxFQqchYWpJQraaBq6qmE66atgUPD5MEiteAbtcghS4CxYRd6EWtZy+sfC/cTIkvIhAR3QPVqnTVtGs6/bq8rLT8vdlsdF3wygVbRHQthqytMWQlIqJbUubmoJ86BXV6GlGxyEVMbSRVq8j94hfIvf02RNcFAISlEmqvvYbGSy8h0bQ2n5C2myQBbFtAtSpjcVFGtSrB99sQuPo2NLsK2XcQqgacXA+q3XtR7d2PQOfjPyKie8m2BUxPb64amJ9XEMetF2wNDfnYsyfA0FDa8zow4ENpndMS0S7AkLU1hqxERHRbhCCAdvky9HPnIDUaCAYGGOi1kWDbyL31FvK//CWkeh0AEJkmGq+8gtoXvoD4Fg8AiFpJA1cRlYqExUUZtdpG4JrJxFu2OEX2HWh2FarbQK17D6YfPp5OthIR0X3j+wJmZ5Vm6HqzBVuimKC/P1gLX9c/Apgme16JdgOGrK0xZCUiojsirazAOHsW2ugoYl1H2NPDt/S2UxAg+8EHyL/+OpTFRQBAIstoHDuG2pe+hLCvr80HpO0qSYBGQ0StJmFhQUa9flXgmo2hKvf/IaQQR8gvT8LJdmPq4eOwC733/c8kIqINcQwsLMibgtepKRWWdeOe183Bq49SiT2vRDsNQ9bWGLISEdGdiyKo4+MwzpyBvLyMsLcXcSbT7lPtbnEM49QpFF5/HdrYGAAgEQQ4jz+O2le+Au/gwfaej7a1OAYsa33CVUGjIcL3Beh6Wimg3M/ANYmRX56Cr2cw/dBLqHcP378/i4iIbilJgEpFum7i9UY9r6YZYWgowJ49fjOA7e8PWCdPtI0xZG2NISsREX1uomVBP3cO+qVLQJIgGBjgAqZ2SxJoV64g//rrME+fbl52DxxA7ctfhvPEE5w8prsSx+mEa6W6FrjWRYShAE27j4FrkiC7OoNEkjF96HlU+g/d+z+DiIjuynrP6/T0Rvg6O9u651WWE/T3b/S8rgewhtHx8QQRgSHrjTBkJSKiu5MkUGZnoZ8+DXVmhouxOog8N4f8z3+O7IkTEMIQABCUy6h96Uuwjh1DoqptPiFtd2ngKqFSEbG4pKBeExFF9y9wNWsLkEIfMw88h+WhR8H3nxIRdbYgAObnlasmXtNfXbf1C77d3UFz6nU9eGXdAFHnYcjaGkNWIiK6JwTfTxdjnT+fLsbq70ei6+0+FgEQazXk33gD2TffhOQ4AIAom0X9C19A/ZVXEPO+le6BTYHrooJ6/f4ErnpjBZpbx+z+p7G470kkIqfniYi2kyQBlpdlTE8rm4LX1VW55e9frxsYGtqoG+jrC6C0bicgoi3AkLU1hqxERHRPSaurMM6ehXrlChJVRdjby7endwjB85B9913kf/ELyCsrAIBYUWAdO4baa69xSRbdM1cHrgsLaYfrvQxcVacGs76Ehb1PYO7AM4hlTmUTEW13liVielpphq7T0zeuGxDFBP39Vwev6f/OZuM2nJxo92HI2hpDViIiuvfiGOrkJIzTpyEvLCDs6UF8izsk2kJRBPPkSeR//nNok5PNy/bjj6P2pS/BO3SIb8OmeyaOgXpdQrV6bwNX2bORrcxiefBhzBx6AZHKyXkiop0mCIC5OaXZ9Zp+KLDt1u9iKBZDDA76zcnXPXt8lMshX+8nuscYsrbGkJWIiO4bwXGgX7wI/eJFCJ6HsL+fPaCdJEmgffYZ8j//OcwzZ5qXveFh1L70JdhHj3KRGd1TVweu6x2uYShC1+PPFbhKgYfc8iQq/Q9g+tALCIzcfTo5ERF1iiQBVlelq5ZspSHs0lLr/gBVjTEwsHnqdXDQh653fBRC1LEYsrbGkJWIiO47eXERxpkzUMfHEWcyCLu7WSHQYeT5eeR/+Utk3n8fYhAAAMJSCfVXX0X9pZeQGEabT0g7zbVLsxp1EUGwNuGaiaHeZuAqRgEKS+Oode/F9EMvws1w8R4R0W7kOAJmZzdC1+lpFTMzCoKg9WPOnp4Ag4Mb4evQUIDu7pBv5iG6DQxZW2PISkREWyMMoY2NQT97FsrKCoLeXsSZTLtPRdcQGw3k3noLuX/8R0j1OgAg1jQ0XnwRtS9+EVF3d5tPSDtRGriKqFQlLC4qsBoifF+AqibIZGKo6s0frgpxhMLSBOxcD+YPHIVV6EOo8oUBIqLdLo6BxUV5U9XA9LSKSqX1ki1djzfVDQwN+RgYCKBpHR+bEG0phqytMWQlIqItJTYa0M+dg/7ZZ0AcI+jrA9fDdqAgQPbDD5H7+c+hzs0BABJBgH3kCOqvvQbvwAH2ttJ9sR64VtcC18ZVgatpxjd+opvEyK3OQIwCeEYe9dIQGl1DsPNlBDofPxIR0QbLEteWaylrE68q5uYUhOH1j20EIUFPT9icdl0PX0uliA+FaNdiyNoaQ1YiItp6SQJlbg76mTNQp6YQ53JphQAfqXaeOIZ+/jzyP/85jEuXmpe9fftQe+012E89xd5Wum/iOH0iXKtJWFyUUatJmwJXVU2u+7EhxBFUpw7drkBIYvh6DvXSAOpde2Dny/DNQnu+GCIi6mhRBMzPK5smXmdmFNRqradeDSOder168pVTr7RbMGRtjSErERG1TxBAu3IFxrlzkCoVhKwQ6GjK9HTa2/rhhxDCEAAQFouov/oqGi+9hNg023xC2smSJA1cq1UJS0tp4Op5AhRlY8L1utdpkhiqU4fm1CBFPgItC6vQh1r3MOxCL1yzyBd3iIjopup18bq6gfl5BVF086nX9b7XwUF2vdLOw5C1NYasRETUdmK9Dv38eVYIbBNirZb2tr711kZvq6qi8fzzqH/xiwh7e9t8QtrpkgSw7c0Trq4rQJbTwFXXWwWuCRTPgm5XIQUuAtWEk+9BtWcf7HwZTpYL+YiI6PaEYTr1OjNze1Ov612vVwevAwM+DKPj4xiilhiytsaQlYiIOsN6hcDZs2mFQDbLCoFOFwTIfPQR8r/4BdSZGQBpb6vz2GOof/GLcB96iP/96L5LA1cBtZqM5WUJlYrcDFwNI4ZhtA5cZd+Bblcg+w4iRYeT7UoD10IvnFw3Yokv9BAR0Z3ZmHpNA9ibdb0CQHd3sCl4HRry0dMT8jU/6ngMWVtjyEpERJ3lqgoBeXUVQV8fKwQ6XZJAv3QJuV/8AubZs83L/uAgal/8Iqxnn+VkMm0ZxxFQrUpYWZGxuirB9UQIADKZGLoet3ziKvkudKcKxbMQSzJcs4hazz5YxT5YuTJiRdvyr4OIiHaGKAIWFpRNS7ZmZhRUKq2nXhUlxsDARvg6MJD+ms3GW3xyohtjyNoaQ1YiIupIV1cICHEMnxUC24K8sJD2tr7/PkTfBwBE2Swax4+j/soriApcOkRbx/PSwHV1VcbKigTbFiEI6bIS02wduIqhD82uQnMbSEQRnp5DrWcvGsUB2PkyQo3dw0REdPcsS8TMzEbVwPS0itlZBUHQeow1nw83Tb0ODvro6wv48JjagiFrawxZiYioc7WqEOjqYm/iNiBaFrLvvovcP/4j5NVVAEAiirCPHkXt1VfhHzjQ5hPSbuP5Auo1Caur6eIsxxGRADCNGIYRQ5Ku/xwhCqE5NWhODUhi+EYejdIA6qUh2IVe+MbNH2gTERHdiTgGFhfl5rTr+q9LS62TVFFM0NsbNEPX9RC2VIrY2ET3FUPW1hiyEhFR51urENDPn4eyuoqgpwdxLtfuU9HtiCKYp08j98tfQh8ZaV729u1D7YtfhP3UU4Dc+u1yRPdLEAio1USsrkpYXpZh2yLiWICmJchkYshyi4fHcQzNrUGzaxCjEIGegZUvo9azD3auB26mxBeAiIjovnBdAbOzynXhq223eIUQ6aKtgQF/U/g6OOjDNDs+/qFtgiFrawxZiYho2xAbDWgXLsD47DMgCBD29SFR1XYfi26TMjmJ/BtvIPPRRxDCEAAQ5vNovPIK6sePMzintghDAfW6iGpVwuKiDMsSEUVp4GoYMVS1xUPlJIbiWdDtGqTARagacLLdqPXshVXog5PtQiLxxQMiIrp/kgSoVKRNoevMjIr5eQVR1HqMtVgMNwWvAwOsHKDPhyFrawxZiYho25EXFqCfPQttYgKxpiHs7eUE2TYi1uvIvf02sm++CblWAwAksgzrmWdQf/VV+MPDbT4h7VZRBDQaEqpVEYtLCqyGCN8XoKoJTDMNXFu9/VL2bWh2DYpnI5IVeJkSqt17YRX7YOd6uDiLiIi2TBimi7auDV9XV1u/+NeqcmBgIEBXV8iH13RDDFlbY8hKRETbUxRBHR+HcfYs5MVFRF1diIrFdp+K7kQYInPyJHK//CW0iYnmZffAAdRffTWtEmhVlEm0BeI4XUpSq6UTrvW6BN8XIMvphKuutw5cxdCDbtegunUkorS2OGsY1trirEDLbP0XQ0REu55tC5idVTE9rWB2Ng1fZ2dVOE7rJFXTYgwMbK4bGBgIkM3GW3xy6kQMWVtjyEpERNua4DjQL1+GfvEiRMtC0NeHxDDafSy6Q+roKPJvvAHz5EkIcfrgPczn0Xj55bRK4BYPaIjupyQBbDsNXJeWJNRqMlxPgCgAphlD1+OW0z5XL84Skhi+nkOj2I961x7Y+TI8swBuJiEionb5PJUD+Xy4Fr4Gzd7X/v4Amtbx0RLdQwxZW2PISkREO4K0sgL9/Hloo6OAKCLo7eVCpW1IqlaRffttZN9+e6NKQJJgHT2aVgns39/eAxIBcBwBtZqE1VUZq6sSbEeEgASGkU65thzAjmOobh2aU4MU+ghUE06uG7XyPtj5MpxsNxKRk9tERNR+UbRRObAx9apgaal1easgJOjuvj587e0N+KakHYoha2sMWYmIaOeIYyjT0zDOnoUyO4son0fU1cVJse0oDGF+8gly//iP0EdHm5e9vXtRf/VVWEePglsaqBN4voB6TcRqRcbykgzbFpAkAnQ97XGV5VaLsxIovg3NrkIOXERS2uNa6dkHu9DLHlciIupInidgdnYjeF0PYev11kmqJCXo60s7XteDV/a97gwMWVtjyEpERDuO4PvQrlyBfu4c5GoVQU8PN9dvY+rEBHJvvIHMxx9DCEMAQJTNonH8OOrHjyMqldp8QqJUGAqo1URUqxKWlmRYlogo2rw4qxUp8KA5VahOA7EkwV/vcS30pz2uOh//EhFR56rXRczMqJid3QheZ2cVeF7rJFVV47XgdaPrdXDQRy4XczZim2DI2hpDViIi2rHEeh36xYvQP/sM8H2EfX1INE6HbVdivY7sO+8g99ZbkCsVAEAiirCfeAKNV16B+9BDnFqmjhFFQKMhoVoVsbQko9GQEAS3XpzV7HF16xDiGL6WgVXsa/a4umYRHP8hIqJOlyTA6qrU7Hpdn4Cdn1cQhq0fr5lm1Jx2HRjwm0FsJsNlW52GIWtrDFmJiGjHkxcXoZ87B3V8HFCUtK+VBVHbVxTBPHUKuTffhH75cvOy39+Pxssvo3HsGJefUUeJ443FWcvLMqpVCZ4nQBRvvjgLSQzVtaA5VUiBh1A14WS7UOvZm/a45roRS6zNICKi7SOKgMVFeVPX68yMiqUlGUly42Vb14av/f0BdL3j46wdiyFrawxZiYhod4hjqJOT0M+dgzI3x77WHUKZnUXuzTeR+eADiF76IC/WNFjPPYf6K68gGBxs8wmJrnft4izHEZEggXmzxVkAZN+GZteg+BZiSYFnFFDtHoZd7Ied60GomVv7hRAREd0jvi9gfl5uVg3MzCiYm1OxsnLjRbZdXeGmideBgQB9fcEN63no3mHI2hpDViIi2lUEz0v7Ws+fZ1/rDiI4DjInTiD35ptQ5+aa191Dh1B/5RXYR45wepk60vrirEolnXK17bTHVdfTwPVGTxTF0Ifm1KA6dUAAfD2HRrEfjdIQ7HwZnlngi0hERLTtOY6AubmNntf1ydcbLdsShAQ9PeFVwWsawvb2BpBvnNfSHWLI2hpDViIi2pXY17pDJQm0y5eRe/NNmKdOQYjTDq8wn0fj+HE0XnoJUbHY3jMS3UAYAvW6hFpNxNKyAqshwvfTxVmGEUPTbtDjGkdQ3QY0uwoxChCoJpxcN2rde+EUynCyXawVICKiHcWyxE0Tr+v/27Zbh6+imKC3N60ZWA9g+/vT8JWvw985hqytMWQlIqJdTV5YgH7uHLSJCSTsa91RpNXVdFHW229DqtcBXLUo6+WX00VZXCBEHSqO0yeQ6z2utdrt9rgmUHwbqlOD4jmIZAW+mUe1ey/sQh/sfBmhys5iIiLaeZIEqNfFTVOv6wu3XLf1Yz5JSsPXjeA1nXzt6Qn5lOAmGLK2xpCViIgoiqBOTUE/fx7K7CziXA5hVxcDuJ0iDGF++mm6KGtkpHk5KJdRf/llWM8/jziTaeMBiW6tdY8rYOgxDCOBLN95rYCT74FrFlkrQEREO1qSAJWK1Axd1ydf5+YUeF7rx/uyfHX46jcnYHt6Qj5FAEPWG2HISkREtEbwfWhXrkC7cAHyygrCnh7Et7gjpe1FmZlB7q23kDlxAqLrAgBiRYF99Cjqr7wCf98+Bk7U8XxfQK2WTrkuLW30uK7XCqjqzWoF6lCdOqTQR6CacHPdqHUPw86X4eS6WStARES7RhxfHb5uTL/Ozyvw/RuHr319G1OvuzV8ZcjaGkNWIiKia4iWBe3SJeiXL0O0LAR9fUhMbu3eSQTPSxdlvfUW1Onp5nVveBiNl1+G9cwz7OilbSEMgUZjrcd1SUajISEIBEhSGrgaRuvAFUkC2XegOTUovoVYUuAZBdS69sAu9sHO9SDQ+bibiIh2nzgGVlbktYVbSnPqdW5OQRDcWfja3b0zawcYsrbGkJWIiOgGpJUV6BcuQBsdhZAkCHp7kahqu49F91KSQB0bQ+7NN5E5eRJCGAIAYsNA49gxNI4fRzAw0OZDEt2eJAFse63HdUVCtSLB9UQIwFrgGt/wiZ4YBlDdGjSnDiGJ4es5WIVe1Lv2wMl1w8mwQoWIiHa3OAaWlzfC1/Vf5+dvHr5evXBrPYAtl7d3+MqQtTWGrERERDeTJFDm5qCfOwd1chKxriMsl7kcawcSGw1k338f2bfegrK01LzuHjyYTrc+9RSg8K3UtH14noB6XcLqqoSVFalZK6DrG7UCLSUxVLcBzalBCjxEqg7HLKHWPQynUIad60Gk6Fv7xRAREXWoVuHrrSZf1xdu9fdfHcAGKJcDyPIWfwGfA0PW1hiyEhER3Y4whDoxAf38eagLCwgLBUSlEvs7d6I4hn7xInJvvQXjzBkIcQwAiEwT1vPPo378OMK+vjYfkujOhKGAel1EvS5icUmB1RDh+wJk+Ra1AgAk34XmVKG6FhJJgqdn0SgOolEagJPrgWcW+LOQiIjoGlfXDlwbwN6o81UUN4ev6x+9vUFHvdbPkLU1hqxERER3QHBdaFeuQL9wAXK1iqC7m8uxdjCpUkH2vfeQfecdyKurzevugw+ifvw47Cef5HQrbTtxnNYK1OsSlpclVKsSXFcEBMC8Ra2AEIfQnHR5lhgHCFQTTrYbdS7PIiIiui1XL9yam1M3Tb66buvwVRAS9PSEmyZf+/rSD03b+liPIWtrDFmJiIg+B7FeT5djjYxAtO20r5XLsXauOIZx7hyyb78N4+xZCGsPn6JsFo0XXkDjpZfSGgmibahVrUAcC1DVBKYZQ1FuvDxL8W2oTg2K5yCWZXhGAfWuIViFteVZRm7Lvx4iIqLtKEnS8PX62gEVjnPjXvSurrDZ9Xr1h2Hcv7iPIWtrDFmJiIjugrS8DP3ixXQ5VhynYSu30u9o0uoqsu+8g+y770KuVpvXnYcfRuP4cdhPPIFtUaZF1EIYAo2GhFpNxNKSgkZDRBAIkKS0VkDXkxvuv7p2eVagZWHle9LlWfkeOJkuJBK/N4iIiO5EkgC1mrRp4nX9o9G48Z6IQiFEX9/G1Ot6+JrNxnfd8sOQtTWGrERERHcrSaDMz6d9rZOTSGQZQW8vg7adLopgnD2L3FtvQb9w4frp1hdfRNjb2+ZDEn1+V9cKrK5KqFQkOGtvY9S1NHRVlBsvz1I8C5pdgxx4iGQFnllErXsP7EIfnFw3Ai2zhV8NERHRztNoiJtC1/n5dAq2Wr3x8xDTjJqB69UhbKkU3Xb4ypC1NYasRERE90oUQZ2ehn7uHJTZWcSZDMKeHtxw7It2DGl5Gbl33kHmvfcg12rN6+6DD6L+0kuwjxxhdytte2mtgIhaTcLSkgzbFhGGaa2AYcTQtBsvzxJDr9nlCiQI9BysQi8aXUOwcz1wMyUk4o2ncYiIiOj2OY6A+XnlugB2eVlGkrS+s1bVeNPE6/r/7ukJr+tqZ8jaGkNWIiKie0wIAqjj49DPn4e8uIioWERUKnH79m6wNt2afecdGOfObUy3miasY8fQeOklBAMDbT4k0d2LIsCyJNTrIpaWZNTrEjxfgADAuMXyLMQxVK8BzalBCnxEigbPLKRTrvle2LkehBo7romIiO413xewsCBfF74uLCiI49bPVSQpQbm8OXhNEuA3fqOKw4fdLf4Kth5DViIiog4g2Da0K1egX7wIuVZD0N2N+BZ3zLRzSKuryL77LrLvvQd5dbV53T14EI2XXoJ99CgSVW3jCYnujSRJJ2bqDQmVVRkrKxJcV0AUCdD1BLoeQ1VvPOUqBS40pw7FbQAC4GsbU65OrptTrkRERPdZFAGLi3IzdF3/dX5ege+3flfe7/7uIv7gD+a3+KRbjyErERFRBxFrNWiXLkEfGYHoOAjLZcQZdhHuGnEM/fx55N55B8aZMxDiOL1sGLCefRb1F19EMDzc5kMS3TthmNYK1OsiFpcUWA0Rvi9AlhMYRhq63rBFJY6hunVobv2aKddhWPleOLluTrkSERFtkTgGVlel68LXmRkVf/RHs/j//r/VW/9DtjmGrERERB1IWl6GfukStNFRIIoQlstIdL3dx6ItJFWryLz3HrLvvgtlebl53RseRuOFF2A9+ywSkwES7RxxDDhO2uNaqawtz3JEJAmgaQlM8ybLs3DVlKtnAUiaU65W1yDsbDfcbBenXImIiLbY2JiKl19u4NAhdrJejSErERHRVkoSyAsL0C9cgDo5CQAIe3v5tvHdJo6hX7qE7Lvvwjx1CkIYppcVBfZTT6Hx4ovwDh1ijy/tOJ4voHHV8izHEREE6ZSrrscwjBvXCghxBMVtbJ5yNfKo9QzDzpXh5LoR6HyuQEREdL9x8VVr8hadiYiIiABAEBD29aFRLkOZmYF+8SLU6WkkioKgXAZk3jXvCqII95FH4D7yCETLQubECWTfeQfq7CyyJ04ge+IEgnI5nW59/nlEhUK7T0x0T2hqAq07Qnd3hH37fFiWiHpdwsqKhGpVwuJSOpWqawkMY/OUayJK8M0CfDP9fpACD6pTQ9/oSQAJAj0HO19GvTQIJ98DJ9OFROLPVCIiItoanGQlIiJqpzCEOjUF/cIFKHNziE0TYXc3bryWm3asJIE6Po7su+8i89FHEL10MiARRTiPPYbGiy/CefRR/t2gHcvz0i7XWk3C8rIMyxIRhgIUJQ1cdf3GU66IY6ieBdWpQQ48RLIC38yj1jUMO59Oufp6jtPhRERE9wAnWVtjyEpERNQBhCCAOj4O/fx5KEtLiHI5hF1duPF2GNrJBM+DefIksu+8A310tHk9zOdhHTuGxgsvIOzra+MJie6vOAYajfUpVxm1mgjXFQEhga7huinXa4mhB81JF2ghSRBoGdi5btRLe9Ip12wXYpk1LURERJ8HQ9bWGLISERF1EMF1oY2OQr9wAdLqKqJSCVGxyOmrXUyZnU2XZX3wAaRGo3ndPXgQjRdegH30KBeo0Y7nugIaDQmVioiVFRm2fQdTrkkMxbOhOTXIvotYkuAbedSLA7CK/XByPfCMPF/UIiIiuk0MWVtjyEpERNSBRMuCNjIC7fJlyLUawq4u9nLudmEI48wZZN97D8a5cxDWHsLFqgr76FE0XngB3gMPMJCnHS+KAMuSUK+L10y5tu5yvZYYBVCdOlS3DjEOESgm3GwJ9dIQnEIZTrYboWps4VdERES0vTBkbY0hKxERUQcTazVoIyPQP/sMYqOBsKcHcS7X7mNRm0nVKjIffIDse+9BWVhoXm8uyzp2LJ2AJtoFru1yXZ9yleUEuh7DMG425ZpA9h1obh2KayERRfhGFla+D43SIJxsF9xMiQu0iIiIrsKQtTWGrERERNuAVKlAu3wZ2pUrEB0HYbmMOJNp97Go3ZIE2ugosu++C/PkyY1lWYIA9/DhtE7g8ccBRWnzQYm2xtVdrqurEqpVCa4nAgmgaQkMM4Z6kylXIQ6hug2oTh1SGCBSVHhGAfWuIS7QIiIiWsOQtTWGrERERNuItLwM/fJlaKOjgO8j7O1FYvBtrXTVsqz33oM+MtK8HpkmrGeegfXCC/CHhxkO0a5y9ZTrepdrEAiQpASGkU663qyKVQo8qE4NqmdBSGIEWgZOtgv1rj2wcz1wsyVECjuRiYhod2HI2hpDViIiou0mSSAvLqaTrWNjEKIIQW8vlx9Rk7ywgOx77yFz4gTkSqV53R8YQOP552E99xziWzxIJNpp4hiwLHFtgVb64TgCkkSApqWBq6reeoGW6tah+DYSUYan59Ao9sMqDsDJdsHLFJGI0pZ+XURERFuNIWtrDFmJiIi2qySBMj8P7cIFqFNTQJKkk62a1u6TUaeIY+gXLyL7/vswTp2CGAQAgEQU4Tz6KKznn4f92GOsE6BdyfcFNBoiajURyysKrEY65SqKWOtyjSHdJC8VohCaW4fq1CHGASJFh2sUUO/eAztXhpPtQqBnOT1OREQ7DkPW1tjgTkREtF0JAoL+fgS9vVBmZ6FfvAhlagoQxTRsVdV2n5DaTRThHj4M9/BhCLaNzMcfI/v++9DGxmCeOQPzzJm0TuDZZ9M6gT17GAjRrqGqCbq6InR1Rdi7N4DjiKjXRVSrMlZX007XOBagKAkMI4ambZ5yTSQZbqYEN1MCAEi+C82to2/0JAQkCLQs7FwXGqUhVgsQERHtApxkJSIi2imiCMrMDPRLl6BOTyORJAS9vZxSpOvIc3PIfvABMh98ALlabV73BwZgPf88rGefRVQotPGERO0VhumUa6MhYnlZRr0uwfMEQEiga4BhxFBuskArrRawoDl1yIHTrBawin3NagE3U2K1ABERbUucZG2NISsREdFOE0VQp6ehXbwIdXYWiSwjKJcZttL11usE3nsP5qlTEMIQAJAIAtxHHkHj2DE4Tz7JqWja9RxHgGVJqFbT0NVx0moBWb69BVpiFEB1G5uqBTw9j3rXEOx8Wi3gG3lOkhMR0bbAkLU11gUQERHtNJIEf+9e+IODadh64UI62appCHp6GLbShqvqBETbhnnyJDLvvw99dBTG+fMwzp9HrOuwjh6FdewYvAceYAhEu5JhJDCMED09wIEDPixLRL2eVgrUahKWlyUkiQBVTQPXa6sFYknZXC0QuFCdOnonTkFIEgSaATfThXrXEJxcN5xsN0LVaNNXS0RERJ8HJ1mJiIh2uiCAOjWVdrbOzSHWdYQ9PYDM11qpNXlhAZkTJ5D94APIKyvN60F3N6xjx2A99xzCcrmNJyTqHOsLtBoNEUtLMmw7rRYQhLRWQNcTyPKtqgVsqG4Dim8jEUT4ehZ2voxGaRBOthtutoRY4gtkRETUGTjJ2hpDViIiot0iCKBOTqZh6/x8GraWy7jp+mza3eIY2sgIsh98APOTTyC6bvMm9+BBWMeOwT56FLFptvGQRJ0jSdJqgUZDQrWaTrratogoSqsFdD0NXW9WLSDEIVTXgurWIQUeIllFYORQLw7ALvSlfa5mETf9hxAREd1HDFlbY8hKRES0ywhBAHViAtrFi1AWFjjZSrdF8H0Yp04h+/770C9ehLD2EDKRZdiPPw7ruefgPPoo/x4RXSWKAMuSUK+LWK1IqNckOI6IBICqtK4WuJYY+lDdOlS3ATEOESoGPCOPevceOLmetM9Vz7HKg4iItgxD1tYYshIREe1Sgu9DnZxk2Ep3TKpUkPnwQ2Q++ADq7GzzemSasJ9+Go1jx+Dv38/Qh+gani/Aaoio19MFWldXC2haAsOIoSg3qxZIIAduWi3gNiAgQaBl4GRKqHftgZvrYp8rERHddwxZW2PISkREtMsxbKXPLUmgTE8jc+IEMh9+CLlWa94U9PTAeu459rcS3cCmaoGaiNUVGY4jIgwFSFICw0igafHNG11u0Ofq5MuoFwfgZrvgZEqIFW3Lvi4iItr5GLK2xpCViIiIAKzVCExOQrtwgWEr3bk4hn7pEjIffADz008h+n7zJvfAAVjPPgv7mWcQZzJtPCRR50qrBURYloRKJf1wXQFxLEBRNvpcbzYgvtHn2oAUeohFCb6eg1Xsg1UcgJMpwc2UkEj8uU5ERJ8fQ9bWGLISERHRJs2w9dIlKHNzDFvpjgmeB/PUKWROnIB+4cJGf6skwTl8GNazz8J54gkkqtrmkxJ1riAQ0FirFlhdldFopKErsLla4OZ9rgFUrwHVqUOMAkSKBl/Pod41CDtXhpvrhmsUuESLiIjuCEPW1hiyEhERUUtCEECZnIS+FrYmmoagpwdQlHYfjbYRqVqF+dFHyJw4AW1qqnk91jTYR47Aeu45uA89xJCH6BZcNw1dazUJKysybFuE7wsQRcAw0ilXWb75Uzsp8KC6DahuHUISI1QMuGYeja6hdIlWpgTfyLNPmYiIbooha2sMWYmIiOimNoWt8/NIVJVhK30uyuxsujDrww8hr6w0r4f5POynn4b13HPwh4cZ8BDdQhwDjiOi0RBRrUpYXZXgOCKi6E76XNeXaNWhuNbaEi0TrllCvTQIJ9cDN1tCoPP5FxERbcaQtTWGrERERHR7ggDq1BS0S5egzs8jkSSE5TLf8k13LkmgjY4ic+IEzI8/hmTbzZuC3l5Yzz4L69lnuTCL6DaFIWDbEhoNEaurEmq1O+9zvX6JloBAzcDJdaFRGoKT7YKb7UKoGlv2dRERUWdiyNoaQ1YiIiK6M2EIdXo67WydnQVEMQ1bNW6vps8hDGGcP4/Mhx/COH0aYhA0b/L274f1zDOwnn4a8S0e1BLRhvU+1zR0lVGvi/A8EUmS9rlqWgxNu0XoGsdQPQuK14DiO0hECb6WgZPrQaM0ACfTBTdbQqToW/Z1ERFRZ2DI2hpDViIiIvp8ogjKzAz0y5ehTE9DEAQEPT1IdD7hps9HcF2Yn36KzIcfQr94cWNhliDAffhhWM88A/vIESQGJ+mI7oTnCajXRTQaG32unidAEBJoGqDrMVT15k8LhTiE4lpQ3Qbk0EMiSvD0LOx8L6xiP9xsFxyziFjhC25ERDsdQ9bWGLISERHR3YljKLOz0C5fhjo1BSGOEZTLDMLorkjVKsyTJ5H56CNoY2PN64ksw37sMdjPPAPnscdYV0F0h5IEcBwBjYaEel3EyooMx9m8REvTEijKLULXKITqNaC6DUiBj1iW4WtZWMU+WIV+uNkS3EwJscT+biKinYYha2sMWYmIiOjeiGMo8/NpZ+vUFBBFiHp6EJtmu09G25y8uIjMRx/B/OgjqHNzzeuxrsN+8klYzz4L96GHcPMtP0TUShwDtp1WC9RqMlZXRTiOiDAUIMsJdD3tdL3Vt5cYBlC9BhS3ASkMEMkKAiOHeqEfTqEXTqYEL1Nk6EpEtAMwZG2NISsRERHdW0kCeX4e2sgItIkJCJ6HsLsbcS7X7pPRdpckUKankfnoI2Q++gjy6mrzpiibhX30KKxnnoF34AAgim08KNH2lS7REmFZEiqV9MPzBITh5iVat/oWE0MP6lq9gBgHiGQNvp5Do9gPO9+bTrqaRSSSvDVfGBER3TMMWVtjyEpERET3R5JAXlqCNjICdXwcom1vhK033bZCdBviGNrYGDIffgjz5ElIjUbzprBYhPX007CfeQb+8DD/vhHdhTBMl2hZlojVVQn1ugTHEZAkG6Grpt06dJUCD8pavYAYR2noamRRLw3CyZWbk66JyIl0IqJOx5C1NYasREREdN9JKytQr1yBPjYGqV5HWCwiKhQ4bUj3RhRBv3gxrRQ4dQqi6zZvCnp6YD/zDKynn0YwONjGQxLtDJ4vwLZE1BsiKqsy6nURniciAaDISbPT9VavbUiBuzbpWocQR4hUHb6eRb00BDvXA5ehKxFRx2LI2hpDViIiItoyUrUKdWwM2sgIpEoFUaGAqFRi2Er3ThDAOHcOmY8+gnHmDMQgaN7kDwzAfvppWM88g7BcbuMhiXYOzxNgWWmn68qKjEYjrRcAAE1LoGl3Ero2oHoWhDhEqBhpvUBpgKErEVGHYcjaGkNWIiIi2nJiowF1fBzaZ59BWVlBlM0i7Ori4iK6pwTPg3H6NDIffwzj/HkIYdi8zRseTidcjx5F1NXVxlMS7RxJArjueugqYXlFhmOLaegqAJqa1guo6m2Err4Lda1eQEgiRIoOT88zdCUi6gAMWVtjyEpERERtI9g21MlJ6JcuQV5eRqzrCLu7AYXbp+neEmwb5qlTyHz8MfSLFyHEcfM298AB2EePwn7qqXSymojuiSQBHEeAZUmo10WsrsqwbRG+LwBCAk0FDCOGotyj0NUscJEWEdEWYMjaGkNWIiIiajvB86BOTUG7fBnK/DwSWUbY04NE09p9NNqBxHod5qefIvPRR9BGRiBc9XDYPXgQ9tNPp4FrodDGUxLtPHG8Ebqu1wvYtoggECAIab2Arn/+0DXtdE0XabmZIlyzyNCViOg+YMjaGkNWIiIi6hxBAHVmJq0RmJmBkCQIenqQmGa7T0Y7lFStwvzkE5gffwz9ypXm9UQQ4D3wAKy1Cdf4Fg+qiejOpaGriIYlol5LJ10dJ510FcU7DF3XFmkpXgNiFDZD10axH3a+F26mCC9TRCzxnRJERHeLIWtrDFmJiIio80QRlPl5aCMjUCcnIfg+wu5uxLlcu09GO5i0ugrzk0+Q+fhjaGNjzeuJIMB98MF0wvXJJ/n3kOg+aYauDRG1uojKXYWuHpS1SVcxDhHJGgI9i3qhH06htznpGsvq1nxxREQ7CEPW1hiyEhERUedKEsiLi9CuXIE6MQHRshCVSunbuG/1DJvoLkgrK8icPAnz44+hTUw0ryeiCPfQobTD9cgRBq5E99GNQtfPUy8ghh5UtwHVtdLQVVIQ6FlY+V7YxT64mRJcs4BI0bfmiyMi2sYYsrbGkJWIiIi2BWl1FerYGLSREUi1GqJCIV1SJIrtPhrtcPLSEsyTJ2GePAltcrJ5vTnhevRoOuHKSgGi+yqOAdsWYVn3InT1oboNKJ4FKQoQSzJ8LQM7V4ZV7E9D10wJkcrQlYjoWgxZW2PISkRERNuKWK9DnZiA9tlnkFdWEJsmwq4uQGHPHt1/8uJi2uHaInD1Dh2C9dRT7HAl2iL3NHSNAiiuBdVrQAp9JKIEX8/AyXSjURqAmynByxQRaJmt+eKIiDoYQ9bWGLISERHRtiQ4DtSpKWiXL0NZXEQiywh7epBoWruPRruEvLS0EbheXSlw1dIs58iRtN6CiO67Gy3SCkIBAhKoKqDrMVT11qGrEIVQPQuK24AcukgECYGWgZMtwSoOwMl0wcsU4Os51tcQ0a7DkLU1hqxERES0vQUB1JkZaJ99BmV2FkgSRF1diDOcNqKtIy0vI7MeuI6PN68nggDvwAHYTz0F+8gRRF1dbTwl0e6yHrpaloh6PQ1dbTuddIWQQFMBTYuhabcRusYRFM+G4jWgeA4SAQi1DFyzgEZxEG6uC65ZhGfkWWNDRDseQ9bWGLISERHRzhDHUObnoV65Am1yEoLrpkuy8nlOGdGWklZWYH7yCTInT0IbG9t0m7dvXzNwDcvl9hyQaJe6OnRtNESsVmQ4tgjPS+8jNC257dAVSQzFs6F6FmTPhgAgUHT4Rg6N0iCcbFdaMWAWkEjyff/aiIi2EkPW1j5XyPrXf/3X+Pa3v425uTkcOXIEf/mXf4ljx47d8vP+5//8n/hn/+yf4Td/8zfx3e9+97b/PIasREREdNuSBNLKSroka3SUS7KoraTVVZiffgrz00+hjYxAuOqht79nD+wjR2A99RTC/v42npJod0oSwHEE2La0NukqwbYleL4AJICipJ2uun47oWsC2XfSigHPgpBEiBQdvpZFo9AHp9AL1yzCNQuIFdbaENH2xpC1tTsOWf/2b/8W3/jGN/A3f/M3eP755/Gd73wHf/d3f4eLFy+it7f3hp83NjaGl19+GQcPHkRXVxdDViIiIrrvrluSZRgIu7u5JIvaQqzVYJ46BfPkSeiffQYhjpu3+f39zQnXYGiI09dEbZAkgOsKsKx02nV1VYZliXBdEZIEGEYEw7iNwHWNFLhQ3TR0FeMQkaQg0DKw82VYhT54mSLcTAmhatzfL4yI6B5jyNraHYeszz//PJ577jn81V/9FQAgjmMMDw/j93//9/Enf/InLT8niiJ84QtfwO/+7u/izTffRKVSYchKREREW0ZwHKjT02lv68ICEkFIl2QZfGJL7SE2GjBPn4b5ySfQL16EEEXN24KeHthHjsA+cgT+vn2cwCZqI88TUKtJWFqSsbIiw3EEKEqCTCatFbgTYhhA9RpQPAtS6CMRJPh6Bk4mXablZkpwM0UEepYvtBBRR2PI2todlcP4vo+PPvoIf/qnf9q8JooivvKVr+Ddd9+94ef9p//0n9Db24t//a//Nd58881b/jme58HzNv5D1Wq1OzkmERER0SaJYcA7dAjevn1Q5uagjYxAnZmBMD+PsKsLcY7boWlrxdksGi++iMaLL0KwbZhnzqSB64ULUJaWUHj9dRRefx1hPg9nLXB1Dx0CJKndRyfaVTQtQbkcolwO4TgCKhUZCwsyqlUJlYoAXU8DV1m+deAaywpcuQQ3UwIACHEIxbWQrc6juDSRLtNSzbVlWgNws13wMukyrUTk9z4RUae7o5B1aWkJURShr69v0/W+vj5cuHCh5ee89dZb+O///b/jk08+ue0/51vf+hb+4i/+4k6ORkRERHRrioJgeBjBnj2QFxfT3tbxcchLS+xtpbZJTBPWsWOwjh2D4Hkwzp2D+emnMM6ehVyrIffmm8i9+SYi04TzxBOwjxyB88gjrL0g2mKGkcAwAvT3B2uLsyQszCuoVkVEkQDTjGGa8W3fjSSiDN8swDcL6YU4huLb0O0qsquzgABEsg5fz6BRGoCT7YGXKcA1i4hl9f59oURE9Lnc1zWH9Xod//Jf/kv8t//239DT03Pbn/enf/qn+MM//MPm/6/VahgeHr4fRyQiIqLdSBAQ9vYi7O2F+/DDUCcn0+nW8XH2tlJbJZoG++hR2EePAkEA/dKldHHW6dOQGg1k338f2fffR6xpcB59NA1cH32U1RdEW0gQgFwuRi4XY2gwQK0mYXVVwuKijOXl9Cm2pqVLsxTl9jtcIYoI9GxaFwCky7QCF4pnoWfq3Fqvq5r2uhZ6YeV7015Xs4hQM+/PF0tERLftjkLWnp4eSJKE+fn5Tdfn5+fR32Ij6sjICMbGxvD1r3+9eS1eK/iXZRkXL17EAw88cN3naZoGTePGRSIiIrr/4kIBbqEA79ChtLf18mUos7MQRBFBVxcSk09cqU0UBe5jj8F97DGsRBG0K1fSwPXTTyFXKsicPInMyZNIJAnuQw+lPa5PPIH4Fn1hRHTvSBJQKkUolSIMDweoVtMJ18ra0qwgEAAB0NQEmpb2uN526CoICFUDoWrAyaVDS2LoQ/UsFBbH0DV7CYkgIdDWKgZKg3AzpbRiQM/xnRlERFvscy2+OnbsGP7yL/8SQBqa7t27F7/3e7933eIr13Xx2Wefbbr2H/7Df0C9Xsd/+S//BQ899BBU9dZvc+DiKyIiItoyYQhldhbalStpb6vrIurqQpTjE1bqEHEMdWIiDVxPnYKysNC8KREEePv3w3nySdhHjiAsl9t4UKLdK44BxxFh2yLqdRGVigzbFuH5acKqyGnoquvJXd21CHEIxbOheBYU3wEABKoBX8+hURqEk+2CZxbgZYqIJb5Dg4juDS6+au2O6wL+8A//EN/85jfx7LPP4tixY/jOd74Dy7Lwr/7VvwIAfOMb38DQ0BC+9a1vQdd1PP7445s+v1gsAsB114mIiIg6gixv9LYuL0MZG4M2NgZ1bAxxNouwqwuQ72vjEtHNiSL8/fvh79+Pym/+JuS5OZinTsH89FNoExPQR0ehj46i9L3vwR8YgP3kk3COHIG/Zw8XvBFtEVEEMpkYmUyMchlIEh+uK8Cy0uC1UpFRr4tYXhaRJAJkOWlWDNzJfrtElOEbefjG2hP/JIbsu1A9C72TpyFEISJFQ6BlYOV7YefLrBggIrpP7vgZwu/8zu9gcXERf/7nf465uTk89dRT+PGPf9xchjUxMQGRUx5ERES03QkCwp4ehD098B55BOrUFLTPPoM6NYVElhF2d7MHkzpC2N+PWn8/ar/6q5BWV2GcPg3z1Cnoly9DnZ2FOjuL4k9+grBUSgPXJ56Ae+gQ7ijJIaK7Igjri7MiABH27g3geQJsOw1dVysS6jUJlYqEKBIgioCux1C1BIp8JxUDIkLN3BSgSoEHxbNQXLiC7tmLmysGigNw16ddjTzfsUFEdBfuuC6gHVgXQERERJ1ACAIoMzPQrlyBMjMDIQgQdnUhzuU4IUgdR7RtGGfPwvj0Uxjnz0P0/eZtkWHAeewxOE8+CefwYSS63saTEhEAhOHGpGutJqFaFeG6d9nr2sLmigEXQIJAMRAYOTSKfXCyPfAyBbhGAbHCXSlEdD3WBbTGkJWIiIjoTsUx5MVFqOPj0CYmINZqiPN5hKUSpwOpIwm+D/3iRZinTsE4cwZSo9G8LZFluA8+2JxyjQqFNp6UiNbFMWDbIixbhNUQsbIiw3VFeN5ar6tyb3pdkSSQAweKa0H1LAhJhEhSEWgZOLluWIU+eGYBrllEoGf5oiIRMWS9AYasRERERHdBrNWgTk5Cu3IF8vIyElVF2NXFyUDqXHEMbXS0WSugLC5uutnbtw/2E0/AefJJBP39DFSIOkSSoNnrallpr2ujIcL3BUTR1b2uCWT57p7mi6HfnHaVQw8JBIRaBp6ZSysGMiW4ZhG+medCLaJdiCFrawxZiYiIiO4BwfM2qgTm5lglQNtDkkCen08XZ50+DW1sbNPNQU8PnCeegP3EE/AOHuSkNlGH8XwB9qaKAQmum4augoDmMi1Vvcun/XEMxU9DV9W3gSS5aqFWGXYuXajlmQUEWubefHFE1LEYsrbGkJWIiIjoXlqvEpiYgDo+DqleR5zJIOzqAuQ73jlKtKWkahXGmTMwTp2CcekShDBs3hYZBtzHHoP9+ONwHn2Ui9+IOlAYYm2ZloR6XUSlIsFxRAShgFIxgqLcu6f/6wu1FM+CFAXNhVqeWUCj0A83W2ou1Eok3v8R7SQMWVtjyEpERER0n4j1OtTpaWiffZZWCUhSWiVgmrf+ZKI2EzwP+vnzME+fhnHu3OYeV1GEe+gQnCeegPP44wh7etp4UiK6kTgGGg0JExMKFhYUyHKCYjG6L2+wSBdqOWnFgO8AAhDJG9OuTqEXrlGAZxYQarwfJNrOGLK2xpCViIiI6D4TggDK7CzUK1egzs5C8DxExSKifB53t62EaIvEMbSxsbTH9fRpKPPzm272BwbSWoHHH4e/bx//XhN1mDgGFpdkTIyrqFYl5HIxTDO+v39okqTTrr4F1bUgRiESSYKvZuCZeTSKA82KAU67Em0vDFlbY8hKREREtFWSBPLyMpTJSWijo5CqVcSGgairC4mqtvt0RLdNXliAceZM2uN65QqEeCOsiXI5OI89Bvuxx+A+8giXwBF1EM8XMDOtYHpaheff+wqBW0mnXW0ong3ZdyAgQajoG9Ou+TI8swDXLHLalaiDMWRtjSErERERURuItg1lehrayAjkxcV0iUiphDib5aIs2lZEy4Jx7hyM06dhnD8P0XWbtyWynNYKPP447McfR9Td3caTEtG6Wk3ExIR63ysEbumqaVfFs1t2u3rZIlyjAN/MI5aUNhySiK7FkLU1hqxERERE7RSGUBYWoI6PQ52chGhZiLNZhKUSF2XR9hOG0EdG0uVZZ85AWVradLM/MADnscfgPPEEvP37WStA1EZxDCwuyhhfqxDI57egQuA2XNvtKiBBpKx1u+bKsNemXT0jj0DnC5NE7cCQtTWGrEREREQdQqxW00VZIyOQV1aQiCKi7m7EXJRF21GSQF5YgLkWuF5XK5DJwHn00TR0PXyYC+GI2sTzBMzMtK9C4JaSBFLordUMWJDCAIkoIlRNeGYOjUI/3EwJvpmHaxQQK1q7T0y04zFkbY0hKxEREVGHaS7KGh2FOjOTLsrK5xEVi5z8o21LtG3o587BPHsW+rlzkGy7eVsiivAOHkwD18ceQ9Dfz+k0oi22XiGwuCgjTgRoagJNi6FpScd9OwpxBNlPp10V34EQR4hkFYGWgZvrhpXvTaddzQI8Pcf7TqJ7jCFrawxZiYiIiDpVkkBaWYE6NQXtyhVI1SoSVUXY1cVlQrS9RRG00dG0VuDsWahzc5tuDru60sD10UfhPvQQF8MRbZE4BlZWJNRqEioVGbYtwvMFIAEUJQ1ddT3pyMxSDP3mtKscekgAhIqBQM/CKvTCyfXAM/LwzAKXahHdJYasrTFkJSIiItoGBMeBujbdqszNQQgCRIUCokKBEzq07UnLyzDOnk2nXC9dghCGzdtiRYH74INp6Pr444i6utp4UqLdI0kA1xVgWSJsW0SlIqNeF+F5ApJEgCwn0LQEuh5Dktp92haSGLLvQvFtKJ4NMQ6RiBIC9aqlWplCc+KVS7WIbh9D1tYYshIRERFtJ3EMeWkJyuQktPHxdLpV19PpVo09dLT9CZ4H/dIlGGfPwjh7FnKlsul2f2Ag7XJ99FF4Bw9yQRzRFvJ8AfZa6LpakVCvSfA8AVEkQBQBda1iQFU7r2IAWF+qlYausu9ASNaWaqkG7FwPnEIvXKMA38yzZoDoJhiytsaQlYiIiGibEmw7nW69cgXKwkI63VosIsrn+cSQdoYkgTIz0wxctdFRCFc9fYl1Hc7DD8NdW54VFYvtOyvRLhSGG5Ou9bqIalWC44gIgjRhXa8Y0LSkM6ddAUiB15x2ldZrBlQDgZbWDLi57mbwGqgm+6KJwJD1RhiyEhEREW13cQx5cXFjurVWQ2wYiEolTrfSjiJaFvQLF9LQ9fx5SI3Gptv9oaF0yvWxx+Dt34+OTXWIdqg4BhxHgOOIsCwR1aoMyxLhugLiOJ121bQYptmhFQNA65oBQUKgmfCMPKxiH1yzCN/MwzUKiBXez9Luw5C1NYasRERERDuIaFlQZmehjoxAWVyEEIacbqWdKY6hTk42A1d1fHzTlGtkGHAfeSRdnnX4cNpfTERbzvcF2LYIxxFRq0moVtNfi8UImtbxcQSA9ZoBJw1efRtIEkSSgkAz4WZKsAt9zW5XT88hkVhjQjsbQ9bWGLISERER7URRBHlxEerkJNSJCUi1GrtbaUcT63UYa1Ou+vnzkGx70+3+nj1wDh9Ou1wPHOCUK1GbhKGA0VEVk5MqDCNGNhu3+0ifixj6zWlXOXABCAgVDaFmwsqV4eR74Bl5eGYBvpblC520ozBkbY0hKxEREdEOJ9o2lJkZqKOjG92thUI62ccnfbQTxTHU8fHmlKs2MbH55vUu10cfTbtcS6U2HZRod4pjYHZWwciIhiQBSqVo+1edJslV/a4WpMhHAhGhttbvmi/DzXU3g1f2u9J2xpC1NYasRERERLtFHENeWoIyNZV2t1arSFQVYamExDDafTqi+2Z9ylU/dw7GhQvXd7kODDRrBdyDBwFFadNJiXaXlRUJly9raDQkdHeHO2/APImh+A5kz4biOxv9rqoB38zByvfBzZTgm3l4Rh6hyvti2h4YsrbGkJWIiIhoFxJsG8rcHLSxMSjz8xBcN51uLZU4WUM723qX6/nz0M+dgzY2tqnLNVZVuA8+CPfwYTiHDyMsl/k9QXQfWZaIy5c1LC3JKJUiqGrHRxR3RYhDyL4DxbOhBC6EOEIsyQjUtcVahX54mUI68WrkuViLOhJD1tYYshIRERHtZnEMeWUlnW4dGYFk2/CHhlgjQLuGaFnQL1xIQ9fz5yHXaptuD7q708D1kUfgPvQQp76J7gPfFzA6qmFqSkE2G8M0t2dP6+clRkFz2lX2HQhIEMkqAnVtsVa+nC7VMvLwzTxiidP21F4MWVtjyEpEREREAAB5aQmZd9+FtLqKYM8eBq20+yQJlOnptFrg/HnoIyMQomjjZlGEd/BgGrgePgyf3ydE90wcA1NTCkZHNQgCUCzugJ7WuyCGHhTPgeLbkAMPQIJI0RCoJuxsN5y14NU3cvD0HBJJbveRaRdhyNoaQ1YiIiIiapKWl5F97z3IS0vwh4cZINGuJnge9MuXoZ8/D+P8eSiLi5tuj7JZuI88koaujzySLpMjoruyuCjjs880OI6A7u6Id0PrkgRS6EHxbMi+Azn0ASQIFQO+nsHy4COo9B1EpOjtPintAgxZW+NLHURERETUFHV3o3H8ODLvvgt1YiINWnfcJhKi25NoGpzHH4fz+ONYRTrtvR646pcuQWo0kPnwQ2Q+/BBAukDLfeQROIcPw3vgASSq2t4vgGgbKpdD6HqMy5c1LC4q6OoKoSgdPxt2/wkCIkXfHKImCeTAherUsPfCmyjNfYalPY+iWt7PyVaiNuAkKxERERFdR6xWkXnvPagzM/D37mXQSnStKIJ25QqMixehnz8PdXJy0wKtRJbhPvBAc9I1GBzkZDjRHfA8AVeuaJieVmAYCXQ9hqIku7pC4GaEOESmugApcFHr3oulPY+h3sWOdbo/OMnaGkNWIiIiImpJrNeRef99qJOTafekwkUbRDciWhb0ixfTJVoXLkBeXd10e5TLpbUCDz/MagGi2xSGaU/rwoIC1xURBGnCqigJNC2GpiV8DfAaYugjW5kDAFR6D2B5z6Ow8r1gOk33EkPW1jg/TkREREQtxbkcrBdfBEQR6vg4g1aim4gzGdhPPw376afTt/AuLKQLtC5cSKsF6nVkT5xA9sQJAIDf3w93PXQ9dAiJzh5FomvJMrB/f4C9ewM4jgjHEWFZAqpVGZYlolIREUUCBAFQ1Y3gdTfnibGsotazF5LvojQ/gsLyBFb6DmF56DDcbFe7j0e0ozFkJSIiIqIbijMZNF54ARlRhHblCoI9e9gzSXQrgoCwrw/1vj7UX30VCENoo6PN0FWdnIQ6Nwd1bg75X/4SiSjCO3AgrRZ4+GFWdBBdQxSBTCZGJhOjpwcAAgSBANsWYdsiGg0R1aoE1xVRqwtAAshysha8JpDl3Re8RqqOank/FLeB8tRZFBfHsTz4MJYHHkJg5Np9PKIdiXUBRERERHRLgusic+IEtMuXEQwNIdG0dh+JaNsSLQv6pUtpvcDFi1CWljbdHhsG3AcfhLNWLRCWy3yrL9EtxHHa47oevNZqEup1Cb4vpDUDAqAqCVR1d9YMaHYFZn0JTqaEpaHHYBX74Bu5zYu0iG4T6wJa4yQrEREREd1Souuwjh1DIoowLl2CPzDAtzcTfU5xJgP76FHYR48CAOSlpbRW4OLFtFrAtmGeOgXz1CkAQFgqwX3oIbgPPwzn4YcR3+JJHtFuJIqAYSQwjAjd3RGAAGEIOI4I2xFhW+m0q2WlIWwcCxDFjZoBVd3Z066eWYRn5GE0VrDn4tuIFBWBZsI1i7DzvfDNPDwjz+CV6C4wZCUiIiKi25JoGuxjxwBJgn7+PIL+fiSG0e5jEW17YU8PGi+/jMbLLwNxDHVyMl2gdfEitNFRyKuryL7/PrLvvw8A8AcGmqGre+gQvw+JbkCWgVwuRi4XN695vgDHTvtd6/WNmoFqbRfUDAginFwPnFwPxNCH4tvI1BZQWJqAgASRpDB4JboLDFmJiIiI6LYligLrmWfSidZz5xCbJsJSiQuxiO4VUYS/bx/8fftQ++pXIfg+tJGR5pSrOjUFdXYW6uws8m+8kfa57tuXBq4PPQRv/35+PxLdhKYm0NQIxWKEgYG0ZsB1heZirWo1rRloNMS0ZgCAomws1dopNQOxrMKTVXhmsXntZsGrZxZg5fvgm2no6ul5RCqDV6KrMWQlIiIiojujKLCffhpxLgd1dBTK3ByEOEZUKCDK59P3bBLRPZGoKtzDh+EePgzgmj7XS5egLC5CHx2FPjoK/PjHiBUF3gMPNCdd/T17+D1JdBOiCJhmAtOMAETYsyetGXBdcVO/q2WJqFRERJEAQdhcM7BTvsVuFryatUXklyYhIEYkqQg1A56eh1Xog2cW4K9NvIYqJ+tp92LISkRERER3TpbT4OfBB6EsLkKZmko3pk9OIpFlRKUSYtNs9ymJdpxr+1yllRXoFy/CWO9zrddhXLgA48KF9PcbBtxDh5qTrkF/P5doEd2CLAPZbIxsdqNmIAjSpVqOI6LeEFCryXAdEfU6kCQCRDGBqmLH9bu2Dl4DKL4No7GC/Oo0kKQTr6FqwDfysAq98Mzi2sTrWvC6U/6FEN2EkCRJ0u5D3EqtVkOhUMC7776LbDbb7uMQERERUQuCbUOZm4M6MQFlbg6i4yDOZhEWi3z7MtFWSBIos7PppOulS9AvX4boupt+S5TLpVOuax9hT0+bDku0vSUJ4PtCc9q10ZBQq4nwPBG+LyBJAElKu11VLYGy0/pdryGGAWTfhuI7kAMXQhIjFiWEqgnfyMLK98HLFOHpOfhGDoGWYfC6jY2Pq3jllQYOHvTafZT7rtFo4MUXX0S1WkX+FosnGbISERER0b2VJJAqFSizs1DHxiAvL7NOgKgdoihdorUWuGojIxCDYNNvCbu60sD1wQfhPvggolKpTYcl2v6u7Xet1yVUqxJ8X9jU76qq6YeidHwcc1eEKExD17XwFUkCCCJC1YCnZ2Dny/CyXc3g1deyfIywTTBkbY0hKxERERHdP2G4qU5AqtU21wlwioVo6wQBtLGx5qSrNjYGIY43/5ZyeVPoGt/iCSUR3VwUpf2ujiPCttOagXo9nXYNQwEQAEVe73cFZLnjI5q7IsQhZN9dC18diHGIRBARqjoCNQM71w031w1PTztefT2LRGLTZadhyNoaQ1YiIiIi2hKCbUOZn0/rBObnIVoWYsNAVCoh0bR2H49o1xE8D9rICPTLl6FfugR1chLCNU8P/f5+uA8+CG8teI0zmTadlmjnCEMBjiOsBa8bi7U8T0AUpcGrpiZQlBialkCS2n3i+yyOoQRp6Cr7DqTIRwIBkWIg1AzYmS44uR74Zr459RrLartPvasxZG2NLwcQERER0ZZITBP+gQPwDxyAVK2m/a1jY5CXliAEAaJcDlGxiJ3/bJKoMySaBvfRR+E++iiA9IUQfT10vXwZ6tQU1Lk5qHNzwJtvAgD8oaF0yvXQIXiHDjF0JfocZDlBLpcgl9u8WGt92tW2RVSrEhxHRKUiIooECALWagbSxVo76q5SFBFombSndV0SQw48yL6DwvIkuuY+AwQgkjUEqgHXLMDO98I31yde1xZsEbURQ1YiIiIi2nJRoYCoUIB76BDk5eW0v3V8HOr0NAAgLBYRZ9nNRrSVEtOE88QTcJ54AgAgWha0tcBVv3wZ6uws1OlpqNPTyP/yl0gEAcHQENxDh9Jp1wceYOhK9DkpSgJFiXD1oJznC3DX+l0tS0C1KsNxBFiWiDjeCF7TqoFkZ91lrnW3hqqB5vq+JIEU+pB9B9nqPApLExCQIJIUhIoB38ilPa/rC7b0bBrc7qh/MdTJWBdARERERB1B8H3I8/NQp6ehTE1BqtfTMLarq91HIyIAYq0G/bPP0iVan32WTrhehaEr0f2VJIDvbyzWalgCalUZrivC94E4FiCKaWC7I4PXGxDDAHLgNHteNxZs6Qi0DKxcD9xsF/z1BVvseb1rrAtojSErEREREXUc0bKgTk7CPHkSiSQh7O1t95GI6Bp3FLoeOpSGrnw+R3RPJQngeRvBq2WlVQOeJ8LzgCTZncGrEEfNjlfFdyBGIRJRQCTrzZ5XN9cNz8jD17PwjRwiRW/3sbcNhqytMWQlIiIioo6ljo0h88EHQBwj7O9v93GI6CbEWi2tFlgLXpX5+et+jz8wkAauDz4I94EHEN/iCSsR3bkbBa9XT7xK0u4LXq/ueZV9B3LoA0gQySpCVYen52EXeuEZhWbwGqgm6wZaYMjaGuejiYiIiKhj+fv3I5EkZN5/H8r0NILBQUAQ2n0sImohzudhP/MM7GeeAbA5dF2fdFVnZ6HOzjYXaQV9fRuTrocOpcvviOiuCAKg6wl0PUKpFAG4+cRrvZ5OvO7ojldgU8/r1cTQh+I7MBoryK3OQEhiJKKEUDEQaCasXA+8bAmenkdgZOHrWcSS0qYvgjoZQ1YiIiIi6mjB8DAsRYH53ntQp6fhDw5yqoRoG7gudK3XoY+MQFubdFVnZqDMz0OZn0fu7bcBAEFPD7yr6gXC7m6+sEJ0D9wqeHVdEY2GiFpdgusIaDQ2L9dS1TR4laQ2fyH3QSyr8GQVnlloXhPiELLvQvYddM1dhhQFSABEip4u4zKLsPPltY7XtOc1VA3+vNrlGLISERERUccL+vthHT+OzHvvQZmaQrBnD4NWom0mzuVgP/UU7KeeApB2L2sjIxuTrlNTUJaWoCwtIfveewCAsFhMQ9cHHoB76BDCvj6GGET3yNXBK7ARvF63XKsmw3UEWNbm4FVRYmjazgxeE1FGoGcR6FdVViYJpMCDEjjIVmZRWByDgASRpKRTr0YGdq4ML1NM6wb0HHwtwyVbuwj/SxMRERHRthCWy2isBa3qxAT84WHsyGd2RLtEnMnAefJJOE8+CQAQHCeddF3/GB+HXKlA/vBDZD78EAAQZbPwDh5s1gv4Q0N8wYXoHhIEQNMSaFqEYnE9ePWbwavrirBtAZVK2vFaqYiIIgEQEihy+rmqmkCWO379z50TBESqjkjVgUypeVmMAsi+C9WuwawuQIwjJBAQKjqiq5ZspVOvafh6bWUB7QwMWYmIiIho2/j/27v32Mju+u7jn3Odi8eetddre73rvYWwu2GX0OayLDy0j8Q+SShFSgtSyINKGiEqtUlUutACFSQgtQ3QVopKIqL2j1L+SKH8AVVRmyoNJKhiCW2ApwRyI7sb78Xju+d+OXPOef44nhnPrveW2fX48n5JI5sz5zi/05KD/fHXn58/MKDiO98ZVQc0glabb2mB9SBMJFQ+cEDlAwckSUatptiJE63Q9cQJWYWCkv/zP0r+z/9IkoJ4XNXdu1W57jpVr7tO1Z07JYeuROBqWhq8NiZepWjitRG6lkqmcjlL5bKpbHYxeFW0uVZUNxAFr+txED2wHNUSjmqJ3tbBMJDtVWTXKuqbPaWBydekxtSrm1At3qty7+b2qdd4SqHJL4/XMr4jBQAAwJrip9MqvvOd0nPPKTY+rur27YQqwDoUuq4qe/eqsndvdKBel3vqVLNeIH78uMxKRYkXX1TixReja2xb1R07VL3uuih43b1bYTLZxbsA1q8oPPW1dMN1zzNULjfCV1P5vKVCIep79bwoYbXtVvDqOOszeI022Uqq7rY/f8y6J7tWUry0oJ5sJpp6NUzV7ZjqsaTKPf3nT706cWpS1ghCVgAAAKw5QSqlwuHDCi1LsePH5W3bpjAW6/ayAFxLtq3a7t2q7d4t/Z//IwWBnDNnmhUD8ddek5XPK378uOLHjyv91FMKDUPe6GgUuO7Zo+qb3iQ/nb70PwvAG+I4UXDa1xc0j9XrUqWyWDVQNpTPRcFrsWjKqxtSKFlWKMdRc4Ot9doCEtiOanZaNS15DgWB7PoFpl6Xdr0m083g1Yv3KLD4BfNqQ8gKAACANSlMJlV8+9sl21b8lVdUGx1VGI93e1kAVoppyhsbkzc2pvz//t9SGMqemWkGrrHXXpMzPS33zBm5Z85I3/++JMkbHIwC18WXNzxMrytwDdm2lEoFSqUawaunIFBz4rVSMVUoWMrlTFWrpvJ5KQxbG2w1gtd1W8NuXmTq1Su3db1KUt1JqO7GVUluUql3ULVEr7xEtMmWF+th6rWLCFkBAACwZoXxuIq33qrQthV/8UXVN29WkEoRmAAbkWGovmWL6lu2RL+AkWRls4odP97sdXXPnJEzMyNnZkapH/1IkuQnk1Hg2ph2HRujggS4xkxT6ukJ1dPT6HmNgtdqdUnwWjSUz9kql6PO12iDLcmxQ8Vi0cTseu15lRpTr45qiSV9DGEg26vK9ipKLUwoPX1ShkIFphVNvcaSKvduVqWnv9nz6sV75Dv8EnolELICAABgTQtdV8WbblLgOIqdOCF3fFyh48jftElBMslEB7CB+em0Sr/yKyr9yq9IkoxyWbGTJxU7flzx116Te/KkrFJJyRdeUPKFFyS197pW9+xRdfduBT093bwNYEMwTSmRCJVILN1gq6ZqzVClbKpcNlQuRz2vxeLyPa+NjbbW7f/0G6bqbkJ1NyH19LcO+/XFjbbK6s/8UpbvSZJ8OybPjcuL96rUO9isHPDiKdViPQotYsGrif9rAgAAYO1zHJVvuknVvXvlTE3JOXVKzuSk7KkphfG46uk0m98AUJhIqLJ/vyr79ysrSb4v99SpaNp1sct1aa9rQ21kRNXdu5sVA/UtW/gFDrBCYm6omOtraZ1yvR5tsFWtRj2vxYKlfD6agM3lDIWSTEOLoes6rxuQFFq2PCsKT1sHQ1n1mmyvonhhTqn5szLCoLnRlh9LtCoH4qlW5YCb5C+C3iAjDMOw24u4lFwup3Q6rWPHjimVSl36AgAAAGx4ZjYrZ2pK7vi4nOlpGeWygkRC/qZNdLcCWN6SXtfGtKszNXXeaX4q1Ra6UjEAdF8QSJVKVDdQLpsqlUzlcpYqFUOeZyzWDYRy7EbX6/quG7igJRtt2V5FlleVEQYKLFv+YuVAKTWgamog2mgr1qNavFe+2/re6fXXXb3rXQXt2VPt4o2sjEKhoMOHDyubzaqvr++i5xKyAgAAYH0LQ1kLC9GE68mTcmZnZVar8nt6osDVdbu9QgCrmFkoKHbiRHPaNTY+LqNebzsntG1Vx8aa9QLV3bsVXOKHcQDXXhhKtVpUM1CptNcNeJ7RrBuwrPa6gY04yLm0csD2KrL8uqRQvuWo7ibkxXsWKwc26cRMvw7ekdLuvas+UuzYlYSs1AUAAABgfTMM+f398vv7Vbn+ellzc3ImJ+W+/rrs6WkZtZqCVEp+Ok3gCuA8QSql8sGDKh88GB3wPLmnTzfrBWInTkQVAydOKH7iRPM6b3CwGbhWd++WNzrKn+ACK8wwpFgsVCzmtx2v143FqdcoeC0s1g1Uq6byeSkMo022Ym4oxwnkulHv63q2bOWAJLNek10ryy3llMxOyQx8JXJx9UzeIu3d3qXVrk6ErAAAANg4TFP+4KD8wUFV9u2TPTsre3JSsfFx2VNTMup1BamU6uk0f/oLYHmOo9ru3art3q38u9/dqhhYDFxjJ07ImZiQMzMjZ2ZGqf/6L0lSEIupunNna9p11y66ooEuse1QqVSo6I+lfUmegkCqVqO6gUrFVKlkKJ+3VC6bymYX6wa0gTbZWhTYrmq2q5papbjm/Hg0Jow2hKwAAADYmCxL9aEh1YeGVNm/X/bsbHPC1clkZPg+gSuASzMM1bdsUX3LFhUPHYoOlcuKnTzZDF1jJ0/KrFSUeOUVJV55pXlpY0Ot2mLo6g0PM+0KdIlpSolEqETCVxS8RjzPaHW9VgwV8pYKhcYmW9HUq2FoMXjdGFOvWB4hKwAAAGDbqg8Pqz48rPLSwHV8vBm4+r298vv6CFwBXFKYSKiyf78q+/dHB4JATibTPu06PS03k5GbyUjHjkWnJRLRtGujZmDnTqZdgS5znGhqtbc3WDxy/tRroWgon7NUrV546tVxNmbX60ZCyAoAAAAs5Tiqj4yoPjKi6IDNaAAANLNJREFU8g03yJmdlT0xIffUKTkTEzKCgMAVwJUxTXmjo/JGR1X4X/8rOpTPt027uuPjMstlJV56SYmXXmpeWhsZUW3XrmbFgDcywrQr0GWXO/VaXOx6PXfqtVE14DihbHv9Vw5sFISsAAAAwIU4jryREXkjI6ocOCB7ZkZ2JiP39GkqBQB0JOjtbd9Qy/flnD3brBeInTghZ2amOe2a+uEPo+vi8WjaddeuKHzdtUtBKnWRfxKAlXI5U6/lsqFczlrccMuU50UJq2WFchzJdQM5TijL6t594I0hZAUAAAAuQ+g48rZulbd1q8oHDkQTrplMNOG6JHD1+/oUum63lwtgrbEseWNj8sbGVPi1X5N0zrTryZNyX3896nZ9+WUlXn65eak3ONgKXXfvVm10VLL5cR9YDS409VqvGyqXjWYAWyxayuVM1WqmCgUpCAzJkBw7bJt8Zep19eKpCwAAAFypJROu5be8pa3D1Z6aklGvE7gC6Niy064TE1HwuvhyJiflzMzImZmR/vu/JUmhbas6NtacdK3u2iW/v1+kM8DqYduhentD9fZKUfjqKQylWs1QuWw2awcKhWijrWLRVL1uKAzVttGW44jKgVWCkBUAAADoxDkdrvbcXCtwnZ6W4XkKkkn56bTCWKzbqwWwllmWvO3b5W3f3up2LZXkvv56M3R1T56UVSopfuKE4idONC/1e3ujwHXnTtV27ow21UokunUnAJZhGFIsFioW89uO+75UqRiqVqPKgWLJUCFvqVIxlc8bqtepHFgNCFkBAACAq8VxVB8eVn14OApcZ2dlz8zIff112TMzMmq1KHDt6yPcAHBVBMmkKvv3q7J/f3QgDGVPT7eFru6ZM7LyeSV/9jMlf/az6DTDkDc8HAWui+GrNzoqUhlg9bEsqacnVE/P8httReGrocLiRlu1mqliUfL9KHy17VbdgOOE7J13jRCyAgAAANeCbTcD18q+fbLn52VPTck5dUrO3JyMTEZhPC4/nVaQSPBnvACuDsNQfWhI9aEhFW+9NTpUq8k9fVruyZOKvf663NdflzM729pU67nnJEmB46g2NtacdK3t3Kn65s08n4BVarmNthqVA5WKqUrVUKVsKF+wVCpGU7C5nBSGrb7XpeEr/6p3hpAVAAAAuNYsS/XBQdUHB1XZt0/WwoLs6Wm5p0/LnpmRPTWl0HXl9/Up6Okh0ABwVYWuq+qeParu2aP84jEzn48C1yXBq1UuK378uOLHjzev9Xt6otB1x45m+BpEJZIAVqGllQPp5lFPQaDmJlvVqqlSKZp8LZWivlevbkhtfa/Ri77Xy0fICgAAAKwk05Q/MCB/YEDVN79ZVi7XClynpmRPTyu07WjCNZUSf9MH4FoIentVPnBA5QMHFg8EUc3AYuAae/31qGagWFTiF79Q4he/aF5bHxho63atjY3ROQ2scqYpJRKhEon2yoF6XapWzWYA2whfy2VThYIpzzOa10fBa6BY2KWbWOUIWQEAAIBuMQz56bT8dFrVN71JZi4ne2ZGzsSEnExG7qlT0Tm9vfJ7eyWbb98BXCOm2aw4adQMyPPkTky0pl3Hx+VMTsqem5M9N6een/xE0mK/68iIajt2NCdea6OjkuN08YYAXA7blmw7UE+P1B6+Rn2vjc7XUslULm+pVjUUc5luXQ7fpQEAAACrRNDXp1pfn2p79sgoleTMzsrOZOSeOSPn7FkZQaAglYo2znLdbi8XwHrnOKrt2KHajh0qLB4yymXFxsdb067j47IXFqIwdmKi2e8a2rZqo6NR8Lpzp2o7dsgbGWE6H1gjbDtUKhUqlZLO3WzL+GVF1WFPwQWv3pgIWQEAAIBVKEwmVUsmVRsbU/nGG5vdre6pU7Knp2V4noJkUn5vr8JEotvLBbBBhImEKnv3qrJ3b/OYlc3KHR+XOz7eDF6tYlGx8XHFxsfV+5//KUkKXDfaWKsx8bpjh+qDgwSvwBriOKHcZKjAkardXswqQ8gKAAAArHKh68obHZU3OqrygQPRn+pOT0eB6/y8jExGYSwmv7c32jiLwALACvLTaZUPHlT54MHoQBjKnp1tD15PnZJZrSr+2muKv/Za89ogkVBt+/Zm6FrbsUP1zZvZABDAmkPICgAAAKwltq360JDqQ0Oq7N8va2FB9syM3LNnZU9Py56bizbXavS4Wla3VwxgozEM1QcHVR8cVOlXfzU6FgRyJiej4PXUqejj6dMyy2XFX31V8VdfbV7uJ5NR4Do21gxf/f5+glcAqxohKwAAALBWmab8gQH5AwOqvvnNMguFaOOsTEbO2bNyz5yR6HEFsBqYprytW+Vt3arioUPRMd+Xk8lEHa+N15kzskolJV56SYmXXmpe7qdSUdXA2Jiqi5UDBK8AVhNCVgAAAGCdCFIp1VIp1XbtklGpyJ6djXpcT59u9bjG4wr6+hQkEoQTALrLsuRt2yZv2zbp8OHomOdFm2g1qgZOnZJz9qysQkGJF19U4sUXm5cTvAJYTQhZAQAAgHUojMeb4UX54MGox3VmRs7p09Hnk5MKHUdBb6/8VIpaAQCrg+M0u1mbPE/u2bPNqoFLBq/btzfD19rYGB2vAFYEISsAAACw3p3b45rLRVOuExNRR+KZM1IYKujpoVYAwOrjOKrt3Knazp2tY43gdbHftS14PbdqIJFoha6LAWx9yxY2CQRwVRGyAgAAABuJYchPp+Wn06ru2SOjXI4C1+npVq1AraYgkVDQ26sgmWQCDMDqc6ng9fTpaPJ1YkJWuazEK68o8corzVODWKw18br40RseZqofwBtGyAoAAABsYGEiIW/7dnnbt0e1AvPzsmdn5Zw6FX0+NSXZtvxGrYDNjxAAVqnlgtd6Pdpc69SpKHw9dUrOmTMyq1XFX3tN8ddea54aOI68rVtbwev27fJGR5nuB3BZ+A4JAAAAQMS2Vd+yRfUtW1TZu1fmYq2AMzUlZ2JCztmzMoJAQTIpv7dXYSLR7RUDwMXZdvMXSc3NtXw/qkppBK+nT8s9c0ZmpaLY+Lhi4+PNy0PTlDc83Ba81rZv5/kH4DyErAAAAADOZxgK0mnV0mnV9uyRUa3KnpuTNTMj98wZ2QsLMiYnFdq2/L4+BT09/JktgLXBsuSNjsobHVXx0KHoWBDInpmJAtdG8Hr6tKxCQe7EhNyJCelHP2p+CW9wMJp03batGbz66TT1KsAGRsgKAAAA4JLCWEze1q3ytm5V5S1vkZXNRl2umYycqalo86wgUJBKyU+lFMbj3V4yAFw+02xuEFj61V+NjoWhrIWF84JXe35ezsyMnJkZ6ac/bX4JP5VqTbsuhq/1oSE22AI2CEJWAAAAAFfGNOX398vv71f1TW9qbZ7VmHKdn5dRrSp0HPm9vUy5AlibDEN+f7/K/f0qHzzYPGwWi3JPn5azGLq6Z87IyWRkFQpKvPSSEi+91Dw3cF15o6Ot4HXbtqjnNRbrxh0BuIYIWQEAAAB05NzNs6yFBdlzc3ImJmRPT7emXHt6oilXugwBrGFBT48qe/eqsndv85hRq8mZmGhOu7qnT8s5e1ZmrabYyZOKnTzZPDc0DNW3bGkPXrdvl9/XR90AsIYRsgIAAAC4eixL/ubN8jdvVvX662WUSrLn5qINtM7pcg16e+WnUky5AljzQtdVbedO1XbubB0MAtmLdSrumTNR8HrmjOxcLtpQcGpKPT/+cfN0v7e3Fbo2Pg4P84wE1ghCVgAAAADXTJhMyksmz5tyPa/LNZlsTbkyyQVgPTBN1UdGVB8ZUemmm1qHc7nzgldnclJWPn9e3UBo2/JGRlQbHW2Fr9u3RzUsAFYVQlYAAAAAK8M05Q8MyB8YaHW5zs/LnpmRc/asrIUFmZOT0TRsY8rVcbq9agC4qoK+PlX6+lTZv795bGndgNMIYM+elVmpNOsHlqqn081p10bPqzc0xNQr0EWErAAAAAC6Ikwk5CUS8kZHVT5wQFY+L2t2Vs70tJyJCTmTkzI8T2E8Lj+Viia32KUbwDq0bN1AGDarVhqTr87Zs3JmZmRns7KzWSV+8YvW6bat2tat0UZbo6NRCDs6qqC3twt3BGw8hKwAAAAAus805afT8tNp1fbskeF5submZM/Pyzl7ttnrKsNorxYAgPXKMFQfHFR9cFDlG29sHS6X5U5MyDl9Wu7Zs83w1azVFDt1SrFTp9q+TL2vLwpeG3UDo6NR16tNJARcTfwbBQAAAGDVCR1H9eFh1YeHVdm3T2axKHtuTtbMjNyzZ6MNtDIZybblp1JUCwDYMMJEQtU9e1Tds6d1MAiiqdcloat79qyc6WnZuZzsXK6969U05Q0Pt6ZeFz/6/f30YgNvECErAAAAgFUv6OlRradHGhtT+cYbZWWzUZ/r1JScTIZqAQAbm2mqvmWL6lu2tE+9VqutwLVROzAxIXNxGtadmFDP8883zw8SifMrB7Zu5S8HgMtAyAoAAABgbTFN+f398vv7VV2mWsCam5M7NyeFoYJkUkEqpSCRYDoLwIYTxmKq7d6t2u7dSw6GshYWWhOvExNyzpyRMzkps1xW/PhxxY8fb/s69f7+ZvjqjY5Gnw8P8xcEwBKErAAAAADWtPOqBUqlKHSdnZUzMRFNvU5Pt/pce3sVxmLdXjYAdIdhyO/vV7m/X+UDB1rH63U5U1OtDbYWJ2DthYXoLwfm56WlG22ZpryhIXmNydfFj/XNm/lLAmxIhKwAAAAA1pUgmVSQTMrbvl3lgwdl5fOy5uejPteJCdlzczKqVYWWpYA+VwCI2HZzUnUps1SSMzHRmnpdDGCtclluJiM3k5F+8pPm+YHryhsZkbd1axS8Lr78TZv4iwKsa4SsAAAAANYv05SfTstPp6Vdu1T2fVkLC9Fk1uSknKmpVp9rLNbqc7Wsbq8cAFaFIJlU9brrVL3uutbBMJSVzbYHrxMTcjIZmbWaYuPjio2Pt3+dRt/r4qvxedDbu8J3BFwbhKwAAAAANg7Lkr95s/zNm1W97rqoz3V+Xtb8vJxMRvbMjJwzZ2QEQSt0TSYJXQFgKcOQv2mT/E2bVLnhhtbxIJA9PS1nYkJuJtMKX6emLtj36vf2yhsZaQWwi1OwQU/PCt8U0BlCVgAAAAAbVug4qg8NqT40pOrevTLKZdnZrKy5OTmZTLSJ1vy8FAQK4vFoE61kkr5BAFiOaTY7sstLj3uenEb4umTy1Z6djSpd8nnFX3217UvV+/qagWtz+nVkRGEyuaK3BFwuQlYAAAAAWBQmEvISCXkjI6rccEO0iVZj0nViIqoZmJmRtNj92tOjIJEgdAWAi3GcZt9raclho1aTk8lE066LLzeTkT03JzuXk53LKfHKK21fqp5OtyZeGyHsyEj0CzCgiwhZAQAAAOACmptobdumylveIrNYlDU/L3tuTs7EhKxcTvb0tGQYChKJaNI1Hid0BYDLELquajt2qLZjR9txo1Jphq/uYtdr8xdd2azsbFaJl15qu6Zt8nVJAEvtAFYKISsAAAAAXA7DiELUVEre2JjKb32rzHw+qheYnY3qBXI52VNThK4A0IEwHldt1y7Vdu1Scclxo1yWk8lEfa+N8DWTkT0/f8HJ10bnqzcyolojfB0ZiTbcMoyVvTGsa4SsAAAAAPBGGIaCvj7V+vqksTGVwzAKXRcWWp2u2WwrdG3UCxC6AsAbEiYSqu3erdru3W3HjXJZzuRkM3RtTL/ac3MX7Hz1k0l5w8OtqdfFl9/fT/iKN4SQFQAAAACuhqWh644dUeiay7U20mrUCyyddKXTFQA6FiYSzcnXpYxqtRm8OplMM4i1Z2ZklUqyTpxQ/MSJtmsC122Fr0s+1rdskSxrBe8Ka80bClkfe+wx/eVf/qUymYxuvPFGffnLX9att9667Ll/93d/p6997Wt64YUXJEk33XST/uIv/uKC5wMAAADAumAYCtJp1dLpKHRdWi+wuJFWs9NVaoWuySShKwBcBWEsptrOnart3Nn+hufJmZo6P4CdmpJZqyl26pRip061fy3TlDc0FAWujQB28RXGYit4V1itrjhk/cY3vqGjR4/q8ccf16FDh/TII4/o9ttv18svv6yhoaHzzn/mmWd099136x3veIfi8bi++MUv6rbbbtPPf/5zbdu27arcBAAAAACseqZ5fuhaKMhaWIj6BCcmok7BuTkpCBTE463QlekpALh6HEfetm3yzs2lfF/29HSremDJR7NWk7vYB6v/9//aLqv397dPvy6+6H3dWIwwDMMrueDQoUO65ZZb9Oijj0qSgiDQ2NiYHnjgAX3qU5+65PW+76u/v1+PPvqoPvzhD1/WPzOXyymdTuvYsWNKpVJXslwAAAAAWBvCUGapJGthQdbCQjTpurAgs1SSEQQKYzEFyaT8ZFJynG6vFgA2jiCInsvLhK9WoXDBy/xEQvUloWvjVR8cXNO/PHNff12Fd71L1T17ur2Ua65QKOjw4cPKZrPq6+u76LlXNMlaq9X0/PPP69Of/nTzmGmaOnLkiI4dO3ZZX6NUKsnzPA0MDFzwnGq1qmq12vzPuVzuSpYJAAAAAGuPYUSTqz098rZtU+Utb5FRKkX1AgsLcqamZM3OyslkZNTrCh2neX7out1ePQCsX6Ypf2BA/sCAKvv3t79VKESh6+Sk7MWPzuSk7NlZWeWyrJMnFTt5su2a0DRV37KlWT/QDF+HhhT09KzgjeFquqKQdWZmRr7va3h4uO348PCwXnrppcv6Gp/85Cc1OjqqI0eOXPCchx9+WJ///OevZGkAAAAAsO6EyaS8ZFLe1q2q7N8vo1qNJl2zWdkzM3KmpmRPT8vwvCgEWKwXCONx/kQVAFZAkEqpmkqpet117W94npxG9cA5IaxZqzWP6Wc/a7vMT6Va3a+NAHZoSPXNm9f09OtG8IY2vnqjvvCFL+jrX/+6nnnmGcXj8Que9+lPf1pHjx5t/udcLqexsbGVWCIAAAAArFphLKb64g/e1Te/WfK8KHDNZqMp18lJ2dmsjMlJhYahsLGZViLBZloAsJIcR97oqLzR0fbjQSArmz1/+nVqSvbCgqxCQVahoPjx422XhZal+uBga/p1aEj1oSF5Q0MKUil+sbYKXFHIOjg4KMuyNDk52XZ8cnJSIyMjF732r/7qr/SFL3xB//Ef/6G3vvWtFz03Fospxs5sAAAAAHBxjiN/cFD+4KB03XWS78vK52Vls7Lm5+VkMrLyedkzM1IQKIzHo2nXRIJeVwDoBtOU398vv79flX372t4yqtUobF0y/epMTsqenpbpeReefk0mm4FrM4AdHpY3OMizfgVdUcjquq5uuukmPf3007rzzjslRRtfPf3007r//vsveN2XvvQl/fmf/7n+/d//XTfffHNHCwYAAAAAXIBlyd+0Sf6mTdLOnSqHocxiMQpdG72ui+Frs9c1mYwqBmIxJqEAoIvCWEy1sTHVzv1r7qUbb01NyZ6akjM1FQWw8/OySqXlu18NQ35/fxS+Lpl89YaG5Pf38xcOV9kV1wUcPXpU99xzj26++WbdeuuteuSRR1QsFnXvvfdKkj784Q9r27ZtevjhhyVJX/ziF/Xggw/qiSee0K5du5TJZCRJqVRKqVTqKt4KAAAAAKCNYShIpRSkUq3NtCqVKHRd7HW1Z2Zkz8/LqFZbFQPJZDTtSv8fAHTfRTbeMmq1KHRd7H9tBrBTUzLLZdlzc7Ln5pQ4Zy+l0LblbdnS2oCrEcJu2aKgt5dfur0BVxyy3nXXXZqentaDDz6oTCajt73tbXryySebm2GNj4/LXJKEf+UrX1GtVtMHPvCBtq/z0EMP6XOf+1xnqwcAAAAAXJEwHlc9Hm/1utbrrYqBhYWoYqBQkD03F1UMuG5r2tV1u718AMASoevK275d3vbt57wRyiwU2idfG5/PzMio1+VOTMidmDjvawbxeBTALoaujY/e0JDCZHKF7mztMcIwDLu9iEvJ5XJKp9M6duwY068AAAAAcC2FocxSKQpdcznZU1OyZ2dllkoyPE8yTQVLp135c1MAWFuCIJpwnZ5udcBOT8uenpY9NyfjIlGhn0rJ7+vTzD33aO7//t8VXHR3FAoFHT58WNlsVn19fRc994onWQEAAAAA65hhKOjpUdDTE+2KvW+fDM9rhq7W7Kzs6elo2nXJhlqN0JVpVwBY5UxT9cFB1QcHz6sfkOfJmZlpBbBLPtrZrKxCQVahILNa7c7aVzFCVgAAAADARYWO0/yBXHv2SEHQ2lArm5UzMyNrcSqKaVcAWMMcR97WrfK2blX5nLeMalX29LQSP/+5SgcOdGV5qxkhKwAAAADgypimgt5eBb298rZvV0XR5itWLicrl5M5Nydnaqo17RqGUbfrYvAaxmLdvgMAwBUKYzF527fL8H35mzd3ezmrDiErAAAAAKBjoeu2TbuWG9Oui8GrNTMjZ3ZW9uysjFpNoWG0agaSScmyun0LAAC8YYSsAAAAAICrb+m067Zt0THPk5XPR6HrwoLsqSlZuZychQUZ9bpC2251u8bj1AwAANYMQlYAAAAAwMpwHPkDA/IHBpqHjFKpGbzac3NR8JrPy5yejjbVisVaNQOuKxlGF28AAIDlEbICAAAAALomTCZVTyZVHx5WVYo21SoUomnXfF7W9LScuTnZc3MyFnezDho1A4mE5DhdXT8AABIhKwAAAABgNTFNBX19Cvr65EnS/v2tmoF8XlY2K3t6WlY2K2dqSobnRdfE49HEayIh2fyoCwBYWfwvDwAAAABgdVuuZqBabU67mgsLcqanZebzUb+r70fB62LNQBCPs7EWAOCaImQFAAAAAKw5YSym+pYtqm/ZIkkqh6GMcrk18To/H028FouyZmdl+L5C21a4OO0aJBJsrAUAuGoIWQEAAAAAa59htPW7SpLCUGaxKKtQkJnLyV4MXs1iUfbsbLSxlm0rbHS8xuMErwCAN4SQFQAAAACwPhmGglRKQSoljYy0NtY6N3idmZFZKMiemZF8X6HjELwCAK4IISsAAAAAYOMwTQW9vQp6e6WtW9uD13xeZj6/fPC6tGqAjlcAwDkIWQEAAAAAG9vS4FVaPnhdWIiC1yUdr7JtBfF4q+OV4BUANixCVgAAAAAAznWh4LVUiqoG8nlZCwvR5lqlkqz5+Sh4Nc0oeF0MX+U4Xb0NAMDKIGQFAAAAAOBymGZbx6ukaHOtcjkKXQsFmQsLcharBpx8XobnRd2wsVhUNxCPK3RdyTC6ey8AgKuKkBUAAAAAgDfKMKINspJJ1YeHJUllSUa5LKtYjMLXXE727KysbFb27GwUvIahQtdtTryGsRgbbAHAGkbICgAAAADAVRYmEqonEtLgYPOY4Xmtidd8XtbsrJz5eVnZrMxqVQqCaIOtpXUDNj+2A8BawNMaAAAAAIAVEDqO/IEB+QMDrYO+L7NQaE692tmsrJkZmaWSnIWFqOeVugEAWPUIWQEAAAAA6BbLUpBOK0inJS1usBWGUd1AoRAFsLmc7Lm5qG5gbk5GtSpJranXxfBVltW9+wCADY6QFQAAAACA1cQwFCaTqieT0tBQ6/Bi3YBZLMoqFGTNz8uem5NZKsmam2PqFQC6iJAVAAAAAIA1YGndgNc4GAQyy+VW5UAuJ3tmRlY+v/zU6+KLrlcAuLp4qgIAAAAAsFaZpoKeHgU9PaovOWzUajKLxWb4ai0syJ6dlVkuy1pYkFGvRxOzrtsMXsNYTDLNrt0KAKxlhKwAAAAAAKwzoevKd135/f2tqdcwbE69NioH7Lk5WfPzsrJZmbWaFARRcLsYulI5AACXh5AVAAAAAICNwDAUJJMKksn24/V6FLqWSlEA29ho69zKActqrxxwnC7cBACsToSsAAAAAABsZLatIJ1WkE63HW6rHCiVZGWzsubmZBYKcnK5qHIgDBU6TnPqNYjFCF8BbEiErAAAAAAA4DwXqhwwKpW2yVdrYUH23JzMSqXV97p4fRCLRdOvsRibbQFY13jCAQAAAACAy2MYChMJ+YmE/KXHG32vxWLzZS0syJ6fl1kqyZqbk+FHVxC+AliPeJIBAAAAAIDOLO173bKldTwILhy+lsuy5ufbJl9D16V2AMCaRMgKAAAAAACuDdNU0NOjoKen/XgQyFysHTg3fDUqFTnZrAzPiyZnGxtuxWIKYzGFjiMZRnfuBwAugJAVAAAAAACsLNNcfvI1DGWUy1HfayN8zWZlNWoHcrkofJUky2oGr0EsptB1JdPszv0A2PAIWQEAAAAAwOpgGAqTSdWTSWlwsHW8seFWqRSFraWSzFxO1tycrGIxmoCtVptfoy18jcUky+rO/QDYMAhZAQAAAADA6rZ0w63Nm+UtfatWa4avZrEos1CQPT8vK5eTVSjImJ2VEQRSGLZ6X6keAHCVEbICAAAAAIA1K3Rd+a4rf9Om9jfq9WjTrUYAWypFva8LC1ElwbnVA67bXj3A9CuAK0DICgAAAAAA1h/bVtDbq6C3t/34MtUDRj4fTb8Wi1H4Wq1G068S068ALgshKwAAAAAA2DguUj0gz4vC1yUTsFY2u/z0q2k2p18bIaxsYhZgo+LffgAAAAAAAElyHAXptIJ0uv34OdOvZrksc3HDLSufl1ksypqfl+H7UferZUXhaywWBbHUDwDrHiErAAAAAADAxZwz/drG96PQtTH9Wi7LzOdlNeoHslkZtZqMMIwCWNtu634NXVcyze7cF4CrhpAVAAAAAADgjbIsBamUglTq/PeW1g8svqxsVlY22+qDrValMJQkhY7Tmn5t9L8SwAJrAiErAAAAAADAtXCh+gFJRq3WDF6NJf2vVjYrs1KRVSzKqNXaA9jGBlxMwAKrDiErAAAAAADACgtdV77ryl8ugK1W26ZfjVJJVi4XBbDlsqxSSarVZASBJMnftCn6Ooax0rcBYBEhKwAAAAAAwCoSxmLyYzH5mzad9965E7BWNqvY8eNyT5yIwtZNm5hwBbqAkBUAAAAAAGCNWG4CtvqmN8l9/XXFX31V7uuvK+jtVb2/X7KsLq4U2FgIWQEAAAAAANawoLdXlQMHVNuzR+74uGKvvCJ3fFxBT4/qmzcTtgIrgJAVAAAAAABgHQiSSVX27VN11y65p04p9uqrck+fVui68gYHJcfp9hKBdYuQFQAAAAAAYB0J43FVr79etZ075Zw+rfgrr8idmFBoWapv2aLQdbu9RGDdIWQFAAAAAABYh0LXVW3PHtXGxuSePavYq6/KyWRk+H70vmUpdF2FsZgCx4nCV5uoCHgj+DcHAAAAAABgPXMc1XbuVG37djnT0zKLRRnlsqx8XlYuJ7NUklUoyKjVogA2DCXDiAJYx1Gw+DF0XfpdgQsgZAUAAAAAANgILEveyMj5xz1PZqXSfBnlssxSSWYuJzufl1GtyiqVpFpNRhhG1xhGK4BtvBxHMs2VvSdglSBkBQAAAAAA2MgcR4HjKOjtPf+9MJRRq0Xh69IgtliUnc/LzOVk1GqyCgXJ82QEgWQYkmG0TcA2J2EJYbFOEbICAAAAAABgeYahMBaTH4tJ6fT574ehjGq1fQq2WpVRKMguFGTm8xcMYUPHoY4A6wYhKwAAAAAAAN4Yw1AYj8uPx+Uv934jhK1WowC2Uok+LxZlFQqyFidhzVJJRiOEbXTCLoawzW5Yx4k25jKMlb5L4JIIWQEAAAAAAHBtLAlhLzgJW6u1qgiq1ejzUklmoSCrUJBZLkefe54Mz2tdatutIHZJGEslAbqBkBUAAAAAAADdsVhHEMZiCpYLYaVoY67FSgJjSRBrFYsy83lZxWK0OdfSSgJJMs32EJZpWFxDhKwAAAAAAABYvRobc6VSy78fBK1KgsUQttkPm8tF07DV6rLTsLIsBecEsWEjiAWuAP+NAQAAAAAAwNplmgoTCfmJxIXPWZyGbYawi58bpVK0QVeh0N4N67caZkPbjl6u26ooYJMunIOQFQAAAAAAAOtboyoglbrwBl212nkTsUa1GtUSFAoyi8Xzg1jDkMJw+SCWidgNhf9PAwAAAAAAYGNb2g17oXOWbtK1GMAuG8R6nsxyOQpi6/VmENuoJtCSEJaO2PWDkBUAAAAAAAC4lCsJYqtVmY1AdvGjUSrJKpVk5fPRRGyjI7Zeb/8SjtM2Ddv4z9QTrG6ErAAAAAAAAMDVcDlBrBRNuTamYZeGseWyzGIx2qyrXJZRqcjK56V6XUaw+BXDUKFlNesI2kJZ25ZMc0VuFe0IWQEAAAAAAIAV1OxsvVBHrCT5fiuEXfLRqFZllkpRRUGjJ3axpsCo16NqAikKfC2rfSp28XNZFmHsVUbICgAAAAAAAKw2lqUwmZSfTF78PM+LumFrtfYgdjGMNRthrOfJrFRaYawUBbKNMHZpCNvYyIvJ2MtGyAoAAAAAAACsVY0NtKQLT8WGYRSuLjcVW63KLJejjbt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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.expon.html\n", + "# scale = 1 / lambda\n", + "\n", + "x = np.linspace(0, max(df.time), 100)\n", + "intercpt = survival.posterior.intercept.values.flatten()\n", + "betas = survival.posterior.betas.values.flatten()\n", + "\n", + "lam_x0 = 1.0 / np.exp(intercpt + betas*0)\n", + "lam_x1 = 1.0 / np.exp(intercpt + betas*1)\n", + "\n", + "y_x0 = np.array([stats.expon.sf(x_i, scale=lam_x0) for x_i in x])\n", + "y_x1 = np.array([stats.expon.sf(x_i, scale=lam_x1) for x_i in x])\n", + "\n", + "y_x0_hdi = np.array([az.hdi(y_x0[i], hdi_prob=0.89) for i in range(len(y_x0))])\n", + "y_x1_hdi = np.array([az.hdi(y_x1[i], hdi_prob=0.89) for i in range(len(y_x1))])\n", + "\n", + "# Graph\n", + "# =====\n", + "plt.figure(figsize=(17, 9))\n", + "\n", + "plt.plot(x, np.mean(y_x0, axis=1), color='blue', label='metastized=0')\n", + "plt.fill_between(x, y_x0_hdi[:, 1], y_x0_hdi[:, 0], color='blue', alpha=0.3)\n", + "\n", + "plt.plot(x, np.mean(y_x1, axis=1), color='red', label='metastized=1')\n", + "plt.fill_between(x, y_x1_hdi[:, 1], y_x1_hdi[:, 0], color='red', alpha=0.3)\n", + "\n", + "plt.ylim(-0.1, 1.1)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "c1d0ccf4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Graph\n", + "# =====\n", + "plt.figure(figsize=(17, 9))\n", + "\n", + "plt.plot(x, np.mean(y_x0 - y_x1, axis=1), color='blue', label='metastized diff')\n", + "plt.legend()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/Survival Analysis_STAN2.ipynb b/_sources/Survival Analysis_STAN2.ipynb new file mode 100644 index 0000000..55f311d --- /dev/null +++ b/_sources/Survival Analysis_STAN2.ipynb @@ -0,0 +1,1640 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "994d8a1f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "# import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "#az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import pystan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f660b457", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fab1c105", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# To make plots like drawing \n", + "plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0f3f7b48", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "9d3fe672", + "metadata": {}, + "source": [ + "# Análise de Sobrevivência" + ] + }, + { + "cell_type": "markdown", + "id": "a7c3595c", + "metadata": {}, + "source": [ + "Análise de sobrevivência, também denominada análise de sobrevida[1], é um ramo da estatística que estuda o tempo de duração esperado até a ocorrência de um ou mais eventos, tais como morte em organismos biológicos e falha em sistemas mecânicos.\n", + "\n", + "A análise de sobrevivência procura responder perguntas como: \n", + "\n", + "- Qual é a proporção de uma população que sobreviverá depois de um certo tempo? \n", + "\n", + "- Daqueles que sobrevivem, a que ritmo eles vão morrer ou falhar? \n", + "\n", + "- Podem várias causas de morte ou falha ser levado em conta? \n", + "\n", + "- Como circunstâncias ou características específicas aumentam ou diminuem a probabilidade de sobrevivência?\n", + "\n", + "#### Definições de termos comuns na análise de sobrevivência\n", + "Os seguintes termos são comumente usados em análises de sobrevivência:\n", + "\n", + "- EVENTO - Morte, ocorrência de doença, recorrência da doença, recuperação ou outra experiência de interesse\n", + "\n", + "\n", + "- TEMPO - O tempo desde o início de um período de observação (como cirurgia ou início de tratamento) até (i) ocorrer um evento, ou (ii) finalizar o estudo, ou (iii) ocorrer a perda de contato ou retirada do estudo.\n", + "\n", + "\n", + "- CENSURA - Se um sujeito não experimenta um evento durante o tempo de observação ele será descrito como censurado. O sujeito é censurado no sentido em que nada é observado ou conhecido sobre ele após o tempo de censura. Um sujeito censurado pode ou não ter um evento após o final tempo de observação.\n", + "\n", + "\n", + "- FUNÇÃO DE SOBREVIVÊNCIA - É uma função, S, que associa a cada tempo t o número S (t) que é a probabilidade de que um sujeito sobreviva além do tempo t." + ] + }, + { + "cell_type": "markdown", + "id": "33cd8495", + "metadata": {}, + "source": [ + "Ref: [Um modelo de sobrevivência em Stan - Eren M. Elçi](https://ermeel86.github.io/case_studies/surv_stan_example.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1e29dffc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " time event metastized\n", + "0 23 1 0\n", + "1 47 1 0\n", + "2 69 1 0\n", + "3 70 0 0\n", + "4 100 0 0\n", + "5 101 0 0\n", + "6 148 1 0\n", + "7 181 1 0\n", + "8 198 0 0\n", + "9 208 0 0" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/mastectomy.csv', sep=\",\")\n", + "df['event'] = [ 1 if event_i == True else 0 for event_i in df['event'] ]\n", + "df.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "abf3d057", + "metadata": {}, + "source": [ + "Mais precisamente, cada linha no conjunto de dados representa observações de uma mulher com diagnóstico de câncer de mama que foi submetida a mastectomia." + ] + }, + { + "cell_type": "markdown", + "id": "6c3f1ba8", + "metadata": {}, + "source": [ + "Legenda:\n", + "\n", + "- A coluna `time` representa o tempo (em meses) pós-operatório em que a mulher foi observada.\n", + "\n", + "\n", + "- A coluna `event` indica se a mulher morreu ou não durante o período de observação.\n", + "\n", + "\n", + "- A coluna `metastized` representa se o câncer tinha metástase antes da cirurgia." + ] + }, + { + "cell_type": "markdown", + "id": "2dc5d140", + "metadata": {}, + "source": [ + "### Descritiva" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "cb3dc074", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " time \\\n", + " count mean std min 25% 50% 75% \n", + "metastized event \n", + "0 0 7.0 159.000000 65.475186 70.0 100.5 198.0 210.0 \n", + " 1 5.0 93.600000 67.748063 23.0 47.0 69.0 148.0 \n", + "1 0 11.0 151.090909 52.673436 76.0 108.0 145.0 200.0 \n", + " 1 21.0 48.000000 37.753146 5.0 24.0 40.0 61.0 \n", + "\n", + " \n", + " max \n", + "metastized event \n", + "0 0 224.0 \n", + " 1 181.0 \n", + "1 0 225.0 \n", + " 1 143.0 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(by=['metastized', 'event']).describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a4b9c96d", + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:matplotlib.font_manager:findfont: Font family 'xkcd' not found.\n", + "WARNING:matplotlib.font_manager:findfont: Font family 'Humor Sans' not found.\n", + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.groupby(by=['metastized', 'event']).count().plot.bar()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b06f73f2", + "metadata": {}, + "source": [ + "### Modelo" + ] + }, + { + "cell_type": "markdown", + "id": "197b7d35", + "metadata": {}, + "source": [ + "Função de sobrevivência $S(t)$:\n", + "\n", + "$$ S(t) = \\mathbb{P} (T > t) = e^{-H(t)} $$\n", + "\n", + "\n", + "$T :=$ é o tempo de sobrevivência de um indivíduo.\n", + "\n", + "$(T > t):=$ Tempo ($T$) que o paciente sobreviveu além do tempo $t$.\n", + "\n", + "$H(t):=$ definido como perigo acumulado.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cdece00f", + "metadata": {}, + "outputs": [], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N_uncensored; // Number of individuals not censured - event == 1\n", + " int N_censored; // Number of individuals censured - event == 0\n", + " int NC; // Number of covariates\n", + " \n", + " matrix[N_censored, NC] X_censored;\n", + " matrix[N_uncensored, NC] X_uncensored;\n", + " \n", + " vector[N_censored] times_censored; // time to censured event \n", + " vector[N_uncensored] times_uncensored; // // time to non-censured event\n", + " }\n", + " \n", + " parameters {\n", + " vector[NC] betas;\n", + " real intercept;\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " betas ~ normal(0,2); \n", + " intercept ~ normal(-5,2); \n", + " \n", + " // Likelihood\n", + " target += exponential_lpdf(times_uncensored | exp(intercept + X_uncensored * betas)); \n", + " target += exponential_lccdf(times_censored | exp(intercept + X_censored * betas)); \n", + " }\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0f05cc70", + "metadata": {}, + "outputs": [], + "source": [ + "# Build the data dict to stan\n", + "covariates_name = ['metastized'] # From the inputs user\n", + "\n", + "\n", + "dat_list = {\n", + " 'N_uncensored': len(df[df['event'] == 1]),\n", + " 'N_censored': len(df[df['event'] == 0]),\n", + " 'NC': len(covariates_name),\n", + " 'X_censored': np.matrix(df.loc[df['event'] == 0, covariates_name]),\n", + " 'X_uncensored': np.matrix(df.loc[df['event'] == 1, covariates_name]),\n", + " 'times_censored': df.loc[df['event'] == 0, 'time'].values,\n", + " 'times_uncensored': df.loc[df['event'] == 1, 'time'].values\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0f9ec567", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_0cbcebb0f9e6eea6e6fc33541757524a NOW.\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:840:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", + " 17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n", + " | ^~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:336,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function ‘typename stan::return_type::type stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:64:59: warning: typedef ‘T_alpha_val’ locally defined but not used [-Wunused-local-typedefs]\n", + " 64 | typename partials_return_type::type>::type T_alpha_val;\n", + " | ^~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix.hpp:19,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/odeint/util/ublas_wrapper.hpp:24,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/odeint.hpp:25,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/arr.hpp:46,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:344,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp: In member function ‘void boost::numeric::ublas::matrix_binary::const_iterator1::increment(boost::numeric::ublas::sparse_bidirectional_iterator_tag)’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp:2224:17: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation]\n", + " 2224 | if (it2_ != it2_end_)\n", + " | ^~\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/numeric/ublas/matrix_expression.hpp:2227:21: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’\n", + " 2227 | if (it2_ != it2_end_) {\n", + " | ^~\n", + "In file included from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:850:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan_fit.hpp: In function ‘int pystan::{anonymous}::command(pystan::StanArgs&, Model&, pystan::StanHolder&, const std::vector&, const std::vector >&, RNG_t&)’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan_fit.hpp:841:12: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations]\n", + " 841 | std::auto_ptr init_context_ptr;\n", + " | ^~~~~~~~\n", + "In file included from /usr/include/c++/9/memory:80,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/config/no_tr1/memory.hpp:21,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/smart_ptr/shared_ptr.hpp:23,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/boost_1.69.0/boost/shared_ptr.hpp:17,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/LDLT_factor.hpp:7,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/err/check_ldlt_factor.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:34,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/usr/include/c++/9/bits/unique_ptr.h:53:28: note: declared here\n", + " 53 | template class auto_ptr;\n", + " | ^~~~~~~~\n", + "In file included from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:852:\n", + "/tmp/pystan_xohfs5zw/anon_model_0cbcebb0f9e6eea6e6fc33541757524a.hpp: In member function ‘void anon_model_0cbcebb0f9e6eea6e6fc33541757524a_namespace::anon_model_0cbcebb0f9e6eea6e6fc33541757524a::transform_inits(const stan::io::var_context&, std::vector&, std::vector&, std::ostream*) const’:\n", + "/tmp/pystan_xohfs5zw/anon_model_0cbcebb0f9e6eea6e6fc33541757524a.hpp:176:24: warning: typedef ‘local_scalar_t__’ locally defined but not used [-Wunused-local-typedefs]\n", + " 176 | typedef double local_scalar_t__;\n", + " | ^~~~~~~~~~~~~~~~\n", + "/tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp: In function ‘PyObject* __pyx_pf_71stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461_2_call_sampler(PyObject*, PyObject*, PyObject*, PyObject*)’:\n", + "/tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:9629:30: warning: comparison of integer expressions of different signedness: ‘Py_ssize_t’ {aka ‘long int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]\n", + " 9629 | __pyx_t_12 = ((__pyx_t_9 != __pyx_v_fitptr->param_names_oi().size()) != 0);\n", + " | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/cholesky_decompose.hpp:86:22: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:72:18: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:80:14: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/to_row_vector.hpp:35:10: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits, -1, -1, false>, 0> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel, -1, -1, false>, 0> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal, -1, -1, false>, 0>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Diagonal, -1, -1, false>, 0>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Diagonal, -1, -1, false>, 0>; Eigen::DenseBase::Scalar = double]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:161:27: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/cholesky_decompose.hpp:451:10: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:50:10: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:278:27: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = stan::math::var; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/rev/mat/fun/to_var.hpp:75:10: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits > >, Eigen::internal::evaluator > >, Eigen::internal::div_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel > >, Eigen::internal::evaluator > >, Eigen::internal::div_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper >; Functor = Eigen::internal::div_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper >; Functor = Eigen::internal::div_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >; Func = Eigen::internal::div_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18: required from ‘Derived& Eigen::ArrayBase::operator/=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >; Derived = Eigen::ArrayWrapper >]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:273:39: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits > >, Eigen::internal::evaluator > >, Eigen::internal::div_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel > >, Eigen::internal::evaluator > >, Eigen::internal::div_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper >; Functor = Eigen::internal::div_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper >; Functor = Eigen::internal::div_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >; Func = Eigen::internal::div_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/ArrayBase.h:220:18: required from ‘Derived& Eigen::ArrayBase::operator/=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper >; Derived = Eigen::ArrayWrapper >]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:274:47: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits > >, Eigen::internal::evaluator, Eigen::Array > >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel > >, Eigen::internal::evaluator, Eigen::Array > >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:290:24: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits > >, Eigen::internal::evaluator, Eigen::Array > >, Eigen::internal::add_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel > >, Eigen::internal::evaluator, Eigen::Array > >, Eigen::internal::add_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Array >; Functor = Eigen::internal::add_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::add_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseNullaryOp, Eigen::Array >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:29:28: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:291:28: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::mul_assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::mul_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/SelfCwiseBinaryOp.h:21:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/variational/families/normal_fullrank.hpp:309:20: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator > >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator > >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose >; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:29:29: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, -1, 1, true> >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, -1, 1, true> >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits, -1, 1, true> >, Eigen::internal::evaluator >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel, -1, 1, true> >, Eigen::internal::evaluator >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:85:22: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:379:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:112:33: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseNullaryOp, Eigen::Matrix >; OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:70: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseNullaryOp, Eigen::Matrix >; OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseNullaryOp, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:70: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::internal::assign_op >’:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::internal::assign_op, 0>’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Functor = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::assign_op]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/PlainObjectBase.h:812:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/Matrix.h:296:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:33: required from here\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess\n", + " | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]\n", + " 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess)\n", + " | ^~~~~~~~~~~~~~~~~~~~~~~~\n", + "In file included from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Core:420,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/lib/eigen_3.3.3/Eigen/Dense:1,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat/meta/as_array_or_scalar.hpp:4,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/lib/stan_math/stan/math/prim/mat.hpp:9,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/stan/src/stan/io/dump.hpp:6,\n", + " from /home/notebook/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/py_var_context.hpp:12,\n", + " from /tmp/pystan_xohfs5zw/stanfit4anon_model_0cbcebb0f9e6eea6e6fc33541757524a_2533526427120775461.cpp:849:\n", + "/home/notebook/" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Using python2.19.1.1\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m posteriori \u001b[38;5;241m=\u001b[39m \u001b[43mpystan\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mStanModel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_code\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m samples \u001b[38;5;241m=\u001b[39m posteriori\u001b[38;5;241m.\u001b[39msampling(data\u001b[38;5;241m=\u001b[39mdat_list, \u001b[38;5;28miter\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m, chains\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m4\u001b[39m)\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m#posteriori = stan.build(model, data=dat_list)\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m#samples = posteriori.sample(num_chains=4, num_samples=1000)\u001b[39;00m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/pystan/model.py:378\u001b[0m, in \u001b[0;36mStanModel.__init__\u001b[0;34m(self, file, charset, model_name, model_code, stanc_ret, include_paths, boost_lib, eigen_lib, verbose, obfuscate_model_name, extra_compile_args, allow_undefined, include_dirs, includes)\u001b[0m\n\u001b[1;32m 375\u001b[0m orig_stderr \u001b[38;5;241m=\u001b[39m pystan\u001b[38;5;241m.\u001b[39mmisc\u001b[38;5;241m.\u001b[39m_redirect_stderr()\n\u001b[1;32m 377\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 378\u001b[0m \u001b[43mbuild_extension\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 379\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 380\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m redirect_stderr:\n\u001b[1;32m 381\u001b[0m \u001b[38;5;66;03m# restore stderr\u001b[39;00m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:345\u001b[0m, in \u001b[0;36mbuild_ext.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 342\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcompiler\u001b[38;5;241m.\u001b[39mset_link_objects(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlink_objects)\n\u001b[1;32m 344\u001b[0m \u001b[38;5;66;03m# Now actually compile and link everything.\u001b[39;00m\n\u001b[0;32m--> 345\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuild_extensions\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:467\u001b[0m, in \u001b[0;36mbuild_ext.build_extensions\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_build_extensions_parallel()\n\u001b[1;32m 466\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 467\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_build_extensions_serial\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:493\u001b[0m, in \u001b[0;36mbuild_ext._build_extensions_serial\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 491\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ext \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mextensions:\n\u001b[1;32m 492\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filter_build_errors(ext):\n\u001b[0;32m--> 493\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuild_extension\u001b[49m\u001b[43m(\u001b[49m\u001b[43mext\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py:548\u001b[0m, in \u001b[0;36mbuild_ext.build_extension\u001b[0;34m(self, ext)\u001b[0m\n\u001b[1;32m 545\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m undef \u001b[38;5;129;01min\u001b[39;00m ext\u001b[38;5;241m.\u001b[39mundef_macros:\n\u001b[1;32m 546\u001b[0m macros\u001b[38;5;241m.\u001b[39mappend((undef,))\n\u001b[0;32m--> 548\u001b[0m objects \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompiler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompile\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 549\u001b[0m \u001b[43m \u001b[49m\u001b[43msources\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 550\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuild_temp\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 551\u001b[0m \u001b[43m \u001b[49m\u001b[43mmacros\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmacros\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 552\u001b[0m \u001b[43m \u001b[49m\u001b[43minclude_dirs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mext\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minclude_dirs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 553\u001b[0m \u001b[43m \u001b[49m\u001b[43mdebug\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdebug\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 554\u001b[0m \u001b[43m \u001b[49m\u001b[43mextra_postargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_args\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 555\u001b[0m \u001b[43m \u001b[49m\u001b[43mdepends\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mext\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdepends\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 556\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 558\u001b[0m \u001b[38;5;66;03m# XXX outdated variable, kept here in case third-part code\u001b[39;00m\n\u001b[1;32m 559\u001b[0m \u001b[38;5;66;03m# needs it.\u001b[39;00m\n\u001b[1;32m 560\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_built_objects \u001b[38;5;241m=\u001b[39m objects[:]\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/ccompiler.py:600\u001b[0m, in \u001b[0;36mCCompiler.compile\u001b[0;34m(self, sources, output_dir, macros, include_dirs, debug, extra_preargs, extra_postargs, depends)\u001b[0m\n\u001b[1;32m 598\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n\u001b[1;32m 599\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[0;32m--> 600\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcc_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_postargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpp_opts\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 602\u001b[0m \u001b[38;5;66;03m# Return *all* object filenames, not just the ones we just built.\u001b[39;00m\n\u001b[1;32m 603\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m objects\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/unixccompiler.py:185\u001b[0m, in \u001b[0;36mUnixCCompiler._compile\u001b[0;34m(self, obj, src, ext, cc_args, extra_postargs, pp_opts)\u001b[0m\n\u001b[1;32m 183\u001b[0m compiler_so \u001b[38;5;241m=\u001b[39m compiler_fixup(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcompiler_so, cc_args \u001b[38;5;241m+\u001b[39m extra_postargs)\n\u001b[1;32m 184\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 185\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mspawn\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcompiler_so\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mcc_args\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m-o\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mobj\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mextra_postargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DistutilsExecError \u001b[38;5;28;01mas\u001b[39;00m msg:\n\u001b[1;32m 187\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CompileError(msg)\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/ccompiler.py:1041\u001b[0m, in \u001b[0;36mCCompiler.spawn\u001b[0;34m(self, cmd, **kwargs)\u001b[0m\n\u001b[1;32m 1040\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mspawn\u001b[39m(\u001b[38;5;28mself\u001b[39m, cmd, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1041\u001b[0m \u001b[43mspawn\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcmd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdry_run\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdry_run\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Projects/probability/BAYES/lib/python3.8/site-packages/setuptools/_distutils/spawn.py:58\u001b[0m, in \u001b[0;36mspawn\u001b[0;34m(cmd, search_path, verbose, dry_run, env)\u001b[0m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 57\u001b[0m proc \u001b[38;5;241m=\u001b[39m subprocess\u001b[38;5;241m.\u001b[39mPopen(cmd, env\u001b[38;5;241m=\u001b[39menv)\n\u001b[0;32m---> 58\u001b[0m \u001b[43mproc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 59\u001b[0m exitcode \u001b[38;5;241m=\u001b[39m proc\u001b[38;5;241m.\u001b[39mreturncode\n\u001b[1;32m 60\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n", + "File \u001b[0;32m/usr/lib/python3.8/subprocess.py:1083\u001b[0m, in \u001b[0;36mPopen.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1081\u001b[0m endtime \u001b[38;5;241m=\u001b[39m _time() \u001b[38;5;241m+\u001b[39m timeout\n\u001b[1;32m 1082\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1083\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1084\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyboardInterrupt\u001b[39;00m:\n\u001b[1;32m 1085\u001b[0m \u001b[38;5;66;03m# https://bugs.python.org/issue25942\u001b[39;00m\n\u001b[1;32m 1086\u001b[0m \u001b[38;5;66;03m# The first keyboard interrupt waits briefly for the child to\u001b[39;00m\n\u001b[1;32m 1087\u001b[0m \u001b[38;5;66;03m# exit under the common assumption that it also received the ^C\u001b[39;00m\n\u001b[1;32m 1088\u001b[0m \u001b[38;5;66;03m# generated SIGINT and will exit rapidly.\u001b[39;00m\n\u001b[1;32m 1089\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[0;32m/usr/lib/python3.8/subprocess.py:1806\u001b[0m, in \u001b[0;36mPopen._wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1804\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreturncode \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1805\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# Another thread waited.\u001b[39;00m\n\u001b[0;32m-> 1806\u001b[0m (pid, sts) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_try_wait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1807\u001b[0m \u001b[38;5;66;03m# Check the pid and loop as waitpid has been known to\u001b[39;00m\n\u001b[1;32m 1808\u001b[0m \u001b[38;5;66;03m# return 0 even without WNOHANG in odd situations.\u001b[39;00m\n\u001b[1;32m 1809\u001b[0m \u001b[38;5;66;03m# http://bugs.python.org/issue14396.\u001b[39;00m\n\u001b[1;32m 1810\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m pid \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpid:\n", + "File \u001b[0;32m/usr/lib/python3.8/subprocess.py:1764\u001b[0m, in \u001b[0;36mPopen._try_wait\u001b[0;34m(self, wait_flags)\u001b[0m\n\u001b[1;32m 1762\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[39;00m\n\u001b[1;32m 1763\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1764\u001b[0m (pid, sts) \u001b[38;5;241m=\u001b[39m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwaitpid\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwait_flags\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1765\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mChildProcessError\u001b[39;00m:\n\u001b[1;32m 1766\u001b[0m \u001b[38;5;66;03m# This happens if SIGCLD is set to be ignored or waiting\u001b[39;00m\n\u001b[1;32m 1767\u001b[0m \u001b[38;5;66;03m# for child processes has otherwise been disabled for our\u001b[39;00m\n\u001b[1;32m 1768\u001b[0m \u001b[38;5;66;03m# process. This child is dead, we can't get the status.\u001b[39;00m\n\u001b[1;32m 1769\u001b[0m pid \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpid\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "# Using python2.19.1.1\n", + "posteriori = pystan.StanModel(model_code=model)\n", + "samples = posteriori.sampling(data=dat_list, iter=1000, chains=4)\n", + "\n", + "#posteriori = stan.build(model, data=dat_list)\n", + "#samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e77cdc1", + "metadata": {}, + "outputs": [], + "source": [ + "samples" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a74c0fe4", + "metadata": {}, + "outputs": [], + "source": [ + "survival = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(dat_list.keys())\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9b3a62a", + "metadata": {}, + "outputs": [], + "source": [ + "az.summary(survival)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99f438cf", + "metadata": {}, + "outputs": [], + "source": [ + "az.plot_forest(survival, var_names=['betas', 'intercept'], combined=True, figsize=(17, 5), hdi_prob=0.89)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aaef5014", + "metadata": {}, + "outputs": [], + "source": [ + "# https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.expon.html\n", + "# scale = 1 / lambda\n", + "\n", + "x = np.linspace(0, max(df.time), 100)\n", + "intercpt = survival.posterior.intercept.values.flatten()\n", + "betas = survival.posterior.betas.values.flatten()\n", + "\n", + "lam_x0 = 1.0 / np.exp(intercpt + betas*0)\n", + "lam_x1 = 1.0 / np.exp(intercpt + betas*1)\n", + "\n", + "y_x0 = np.array([stats.expon.sf(x_i, scale=lam_x0) for x_i in x])\n", + "y_x1 = np.array([stats.expon.sf(x_i, scale=lam_x1) for x_i in x])\n", + "\n", + "y_x0_hdi = np.array([az.hdi(y_x0[i], hdi_prob=0.89) for i in range(len(y_x0))])\n", + "y_x1_hdi = np.array([az.hdi(y_x1[i], hdi_prob=0.89) for i in range(len(y_x1))])\n", + "\n", + "# Graph\n", + "# =====\n", + "plt.figure(figsize=(17, 9))\n", + "\n", + "plt.plot(x, np.mean(y_x0, axis=1), color='blue', label='metastized=0')\n", + "plt.fill_between(x, y_x0_hdi[:, 1], y_x0_hdi[:, 0], color='blue', alpha=0.3)\n", + "\n", + "plt.plot(x, np.mean(y_x1, axis=1), color='red', label='metastized=1')\n", + "plt.fill_between(x, y_x1_hdi[:, 1], y_x1_hdi[:, 0], color='red', alpha=0.3)\n", + "\n", + "plt.ylim(-0.1, 1.1)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1d0ccf4", + "metadata": {}, + "outputs": [], + "source": [ + "# Graph\n", + "# =====\n", + "plt.figure(figsize=(17, 9))\n", + "\n", + "plt.plot(x, np.mean(y_x0 - y_x1, axis=1), color='blue', label='metastized diff')\n", + "plt.legend()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/Untitled1.ipynb b/_sources/Untitled1.ipynb new file mode 100644 index 0000000..ef3277f --- /dev/null +++ b/_sources/Untitled1.ipynb @@ -0,0 +1,45 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "735946e7", + "metadata": {}, + "outputs": [], + "source": [ + "dia = {}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "121f0ca8", + "metadata": {}, + "outputs": [], + "source": [ + "dia" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/Untitled2.ipynb b/_sources/Untitled2.ipynb new file mode 100644 index 0000000..f7ff4a1 --- /dev/null +++ b/_sources/Untitled2.ipynb @@ -0,0 +1,11913 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "bbb2730f", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "811a5652", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "file_ = '/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx'\n", + "\n", + "file_" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ebbcc497", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_excel(file_)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "972e6179", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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leite inteiro',\n", + " ' sacolas de compras',\n", + " ' chocolate',\n", + " ' chocolate',\n", + " ' café',\n", + " ' artigos de higiene'],\n", + " [' fruta semente',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' vinho branco',\n", + " ' produto de panificação longa vida',\n", + " ' suco de frutas/legumes',\n", + " ' farinha',\n", + " ' artigos de higiene'],\n", + " [' outros vegetais',\n", + " ' refrigerante',\n", + " ' citrino',\n", + " ' cebola',\n", + " ' refrigerante',\n", + " ' ovos domésticos',\n", + " ' sacolas de compras'],\n", + " [' leite inteiro',\n", + " ' película aderente/sacos',\n", + " ' outros vegetais',\n", + " ' presunto',\n", + " ' pão branco'],\n", + " [' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' cerveja engarrafada',\n", + " ' presunto',\n", + " ' café',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' iogurte',\n", + " ' vinho branco',\n", + " ' carne',\n", + " ' citrino',\n", + " ' carne de hamburguer',\n", + " ' legumes em conserva',\n", + " ' lanche salgado',\n", + " ' ovos domésticos',\n", + " ' refrigerante',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' massa',\n", + " ' refrigerante',\n", + " ' Soro de leite coalhado',\n", + " ' pão branco',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' marshmallow de chocolate'],\n", + " [' outros vegetais',\n", + " ' outros vegetais',\n", + " ' Soro de leite coalhado',\n", + " ' fruta tropical',\n", + " ' pão integral',\n", + " ' frango',\n", + " ' água engarrafada',\n", + " ' carne de porco',\n", + " ' bagas',\n", + " ' refrigerante',\n", + " ' Queijo processado',\n", + " ' sobremesa',\n", + " ' sacolas de compras'],\n", + " [' vasos de plantas',\n", + " ' sobremesa',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' suco de frutas/legumes',\n", + " ' frango',\n", + " ' manteiga',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' vinagre',\n", + " ' jornais',\n", + " ' outros vegetais',\n", + " ' cuidados com a pele',\n", + " ' goma de mascar',\n", + " ' chantilly/creme azedo',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' descalcificante',\n", + " ' sobremesa',\n", + " ' pastelaria',\n", + " ' barra de especialidade',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' vinho tinto/blush',\n", + " ' jornais'],\n", + " [' fruta tropical',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' Requeijão cremoso',\n", + " ' citrino',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' refrigerante'],\n", + " [' citrino',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' mostarda',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' vasos de plantas',\n", + " ' farinha',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria'],\n", + " [' carne bovina',\n", + " ' vegetais de raiz',\n", + " ' carne de hamburguer',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' cerveja engarrafada',\n", + " ' cebola',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' barra de especialidade',\n", + " ' fruta semente',\n", + " ' chocolate especial',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' licor (aperitivo)',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " 'waffles',\n", + " ' chocolate',\n", + " ' cerveja engarrafada',\n", + " ' sobremesa',\n", + " ' pastelaria',\n", + " ' película aderente/sacos',\n", + " ' doce',\n", + " ' queijo fatiado',\n", + " ' leite inteiro'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' limpador',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' cerveja em lata',\n", + " ' água engarrafada',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' jornais',\n", + " ' pão branco',\n", + " ' Queijo processado',\n", + " ' pastelaria',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' bebidas',\n", + " ' legumes em conserva',\n", + " ' pão integral',\n", + " ' refrigerante'],\n", + " [' frango',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' óleo',\n", + " ' outros vegetais',\n", + " 'waffles',\n", + " ' fruta semente',\n", + " ' chantilly/creme azedo',\n", + " ' Margarina',\n", + " ' legumes em conserva',\n", + " ' pão integral'],\n", + " [' manteiga',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' produtos sazonais',\n", + " ' coalhada',\n", + " ' leite UHT'],\n", + " [' suco de frutas/legumes',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' carne de hamburguer',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' queijo macio',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' pão semi-acabado',\n", + " ' chocolate especial',\n", + " ' amaciante',\n", + " ' rolos/pãezinhos',\n", + " ' vasos de plantas',\n", + " ' água engarrafada'],\n", + " [' fruta/legumes embalados',\n", + " ' peixe',\n", + " ' Refeições congeladas',\n", + " ' chocolate especial',\n", + " ' pão integral'],\n", + " [' chocolate',\n", + " ' salsicha',\n", + " ' limpador abrasivo',\n", + " ' doce',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' Margarina',\n", + " ' vegetais congelados',\n", + " ' sacolas de compras',\n", + " ' rolos/pãezinhos',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' vegetais enlatados',\n", + " ' leite UHT'],\n", + " [' barra de especialidade',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' guardanapos',\n", + " ' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' espumante',\n", + " ' cerveja engarrafada',\n", + " ' chocolate'],\n", + " [' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' açúcar',\n", + " ' refrigerante',\n", + " ' presunto',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' foto/filme',\n", + " ' comida de gato',\n", + " ' produtos sazonais',\n", + " ' produtos sazonais',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' ovos domésticos',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' sopas',\n", + " ' doce',\n", + " ' goma de mascar',\n", + " ' sacolas de compras',\n", + " ' produtos sazonais',\n", + " ' Requeijão cremoso',\n", + " ' iogurte'],\n", + " [' Soro de leite coalhado',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' carne',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' citrino',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' Refeições congeladas',\n", + " ' Refeições congeladas',\n", + " ' chantilly/creme azedo',\n", + " ' lanche salgado',\n", + " ' produto de panificação longa vida'],\n", + " [' leite inteiro',\n", + " ' frango',\n", + " ' manteiga',\n", + " ' peru',\n", + " ' água engarrafada',\n", + " ' queijo macio',\n", + " ' outros vegetais',\n", + " ' frango',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' cerveja em lata',\n", + " ' lanche salgado',\n", + " ' vegetais enlatados'],\n", + " [' fruta tropical',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' pão branco',\n", + " ' café',\n", + " ' molhos',\n", + " ' iogurte',\n", + " ' queijo fatiado',\n", + " ' manteiga',\n", + " ' rolos/pãezinhos',\n", + " ' café',\n", + " ' chantilly/creme azedo'],\n", + " [' fruta tropical',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' bagas',\n", + " ' ovos domésticos',\n", + " ' fermento em pó'],\n", + " [' água engarrafada',\n", + " ' misc. bebidas',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' licor',\n", + " ' chocolate especial'],\n", + " [' iogurte',\n", + " ' fruta tropical',\n", + " ' fruta/legumes embalados',\n", + " ' frango',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' licor',\n", + " ' vegetais de raiz',\n", + " ' ervas',\n", + " ' goma de mascar',\n", + " ' ovos domésticos',\n", + " ' Requeijão cremoso',\n", + " ' lanche salgado',\n", + " ' refrigerante',\n", + " ' iogurte'],\n", + " [' salsicha',\n", + " ' frango',\n", + " ' ovos domésticos',\n", + " ' coalhada',\n", + " ' barra de bolo',\n", + " ' pastelaria',\n", + " ' chantilly/creme azedo'],\n", + " [' outros vegetais',\n", + " ' coalhada',\n", + " ' cerveja em lata',\n", + " ' lanche salgado',\n", + " ' ovos domésticos',\n", + " ' xarope',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' jornais',\n", + " ' comida de gato',\n", + " ' óleo'],\n", + " [' pão integral',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' carne',\n", + " ' espalhar queijo',\n", + " ' citrino',\n", + " ' foto/filme',\n", + " ' manteiga',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes'],\n", + " [' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' especiarias',\n", + " ' peixe enlatado'],\n", + " [' carne de hamburguer',\n", + " ' cerveja engarrafada',\n", + " ' película aderente/sacos',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' coalhada',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte',\n", + " ' goma de mascar',\n", + " ' leite inteiro',\n", + " ' arroz',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' gordura especial',\n", + " ' chocolate',\n", + " ' café',\n", + " ' toalhas de cozinha'],\n", + " [' vegetais de raiz',\n", + " ' bagas',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' citrino',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' carne de porco',\n", + " 'waffles',\n", + " ' outros vegetais',\n", + " ' ervas',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' carne de porco',\n", + " ' vegetais enlatados',\n", + " ' xarope',\n", + " ' comida de gato',\n", + " ' queijo especial',\n", + " ' suco de frutas/legumes',\n", + " ' ervas',\n", + " ' produto de panificação longa vida'],\n", + " [' carne de porco',\n", + " ' coalhada',\n", + " ' frango',\n", + " ' legumes em conserva',\n", + " ' outros vegetais',\n", + " ' licor (aperitivo)',\n", + " ' coalhada',\n", + " ' cebola',\n", + " ' queijo duro'],\n", + " [' carne bovina',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' guardanapos',\n", + " ' pão semi-acabado',\n", + " ' outros vegetais',\n", + " ' pão integral'],\n", + " [' pastelaria',\n", + " ' água engarrafada',\n", + " ' açúcar',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' pratos',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' cerveja em lata'],\n", + " [' cerveja em lata',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados',\n", + " ' sobremesa',\n", + " ' produto de panificação longa vida',\n", + " ' sobremesa',\n", + " ' limpador de prato',\n", + " ' doce',\n", + " ' Queijo processado',\n", + " ' vegetais enlatados'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' carne',\n", + " ' barra de especialidade',\n", + " ' fruta/legumes embalados',\n", + " ' misc. bebidas',\n", + " ' outros vegetais',\n", + " ' artigos de higiene'],\n", + " [' citrino',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' fruta semente',\n", + " ' queijo macio',\n", + " ' vinho tinto/blush',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' peixe enlatado',\n", + " ' lanche salgado',\n", + " ' chocolate especial',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte'],\n", + " [' salsicha',\n", + " ' sobremesa',\n", + " ' sorvete',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' carne',\n", + " ' barra de especialidade',\n", + " ' jornais',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' Refeições congeladas',\n", + " ' água engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo'],\n", + " [' fruta tropical',\n", + " ' fruta tropical',\n", + " ' carne de porco',\n", + " ' leite UHT',\n", + " ' cerveja engarrafada',\n", + " ' Requeijão cremoso',\n", + " ' bebidas',\n", + " ' leite UHT',\n", + " ' arroz',\n", + " ' jornais',\n", + " ' produtos sazonais',\n", + " ' jornais',\n", + " ' Soro de leite coalhado',\n", + " ' água engarrafada'],\n", + " [' bagas',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' carne de porco',\n", + " ' vinagre',\n", + " ' Margarina',\n", + " ' queijo especial',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' manteiga',\n", + " ' leite UHT',\n", + " ' pão integral',\n", + " ' jornais',\n", + " ' ovos domésticos',\n", + " ' pão integral'],\n", + " [' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' vegetais de raiz',\n", + " ' artigos de higiene',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa',\n", + " ' Leite condensado',\n", + " ' suco de frutas/legumes',\n", + " ' água engarrafada',\n", + " ' produtos sazonais',\n", + " ' Margarina',\n", + " ' fermento em pó',\n", + " ' suco de frutas/legumes',\n", + " ' cuidados com a pele',\n", + " ' artigos de higiene',\n", + " ' suco de frutas/legumes'],\n", + " [' Soro de leite coalhado',\n", + " ' cerveja em lata',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' pão semi-acabado',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina'],\n", + " [' café',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' Margarina',\n", + " ' refrigerante',\n", + " ' guardanapos',\n", + " ' ovos domésticos',\n", + " ' comida de gato',\n", + " ' outros vegetais',\n", + " ' uvas',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' chocolate especial',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' pastelaria',\n", + " ' pastas de carne',\n", + " ' ovos domésticos',\n", + " ' comida de gato',\n", + " ' legumes em conserva'],\n", + " [' pastelaria',\n", + " ' carne',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' Leite condensado',\n", + " ' leite UHT',\n", + " ' fruta tropical',\n", + " ' arroz',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' jornais',\n", + " ' barra de especialidade',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' açúcar',\n", + " ' marshmallow de chocolate'],\n", + " [' rolos/pãezinhos',\n", + " ' pão de fígado',\n", + " ' Margarina',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' chantilly/creme azedo',\n", + " ' jornais',\n", + " ' água engarrafada',\n", + " ' cerveja em lata',\n", + " ' doce',\n", + " ' refrigerante',\n", + " ' fermento em pó',\n", + " ' vinho branco'],\n", + " [' misc. bebidas',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' limpador de prato',\n", + " ' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' vegetais congelados',\n", + " ' outros vegetais',\n", + " ' toalhas de cozinha',\n", + " ' refrigerante',\n", + " ' bebidas',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' Leite condensado'],\n", + " [' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' peixe congelado',\n", + " ' carne de porco',\n", + " ' pão integral',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' café',\n", + " ' café',\n", + " ' pastelaria',\n", + " ' produto de panificação longa vida',\n", + " ' cerveja em lata',\n", + " ' pastelaria'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' pão semi-acabado',\n", + " ' sacolas de compras',\n", + " ' cerveja engarrafada',\n", + " ' iogurte'],\n", + " [' cerveja em lata',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' cerveja em lata',\n", + " ' frango',\n", + " ' vegetais de raiz',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' comida de gato',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' jornais'],\n", + " [' presunto',\n", + " ' goma de mascar',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' frango',\n", + " ' carne',\n", + " ' massa',\n", + " ' Leite condensado',\n", + " ' outros vegetais',\n", + " ' bebidas',\n", + " ' artigos de higiene',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' vasos de plantas',\n", + " ' licor',\n", + " ' sobremesa congelada',\n", + " ' chantilly/creme azedo',\n", + " ' açúcar',\n", + " ' fruta semente'],\n", + " [' peru',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' açúcar',\n", + " ' Refeições congeladas',\n", + " ' iogurte',\n", + " ' comida de gato',\n", + " ' refrigerante',\n", + " ' cerveja em lata',\n", + " ' Queijo processado',\n", + " ' outros vegetais',\n", + " ' espalhar queijo',\n", + " ' peixe enlatado'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' carne bovina',\n", + " ' bebidas',\n", + " ' vegetais de raiz',\n", + " ' Produtos alimentares instantâneos',\n", + " ' suco de frutas/legumes',\n", + " ' queijo duro',\n", + " ' chocolate',\n", + " ' sobremesa',\n", + " ' cerveja engarrafada',\n", + " ' Margarina'],\n", + " [' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' frango',\n", + " ' vegetais de raiz',\n", + " ' chocolate especial',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' vegetais congelados',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' cerveja em lata',\n", + " ' requeijão',\n", + " ' lanches',\n", + " ' peixe congelado',\n", + " ' chocolate'],\n", + " [' fruta/legumes embalados',\n", + " ' cereais',\n", + " ' sorvete',\n", + " ' goma de mascar',\n", + " ' carne bovina',\n", + " ' presunto',\n", + " ' vegetais congelados',\n", + " ' iogurte',\n", + " ' Leite condensado',\n", + " ' cerveja em lata',\n", + " ' refrigerante'],\n", + " [' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' cerveja engarrafada',\n", + " ' carne de hamburguer',\n", + " ' iogurte',\n", + " ' licor',\n", + " ' legumes em conserva'],\n", + " [' presunto',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' farinha',\n", + " ' outros vegetais',\n", + " ' guardanapos'],\n", + " [' rolos/pãezinhos',\n", + " ' vegetais enlatados',\n", + " ' cerveja em lata',\n", + " ' doce',\n", + " ' marshmallow de chocolate',\n", + " ' manteiga',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' goma de mascar',\n", + " ' Refeições congeladas',\n", + " ' iogurte',\n", + " ' produto de panificação longa vida',\n", + " ' Margarina'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' cebola',\n", + " ' produtos sazonais',\n", + " ' uvas',\n", + " ' queijo duro',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " 'waffles',\n", + " ' cuidado dental'],\n", + " [' salsicha',\n", + " ' carne',\n", + " ' carne de porco',\n", + " ' presunto',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' Queijo processado',\n", + " ' barra de especialidade',\n", + " ' peixe congelado',\n", + " ' cerveja em lata',\n", + " ' lanche salgado'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' manteiga',\n", + " ' cebola',\n", + " ' artigos de higiene',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' sorvete',\n", + " ' refrigerante'],\n", + " [' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' uvas',\n", + " ' cerveja em lata',\n", + " ' manteiga',\n", + " ' suco de frutas/legumes',\n", + " ' iogurte',\n", + " ' pão semi-acabado'],\n", + " [' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' fruta tropical',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' queijo macio',\n", + " ' ervas',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' ovos domésticos',\n", + " ' Refeições congeladas',\n", + " ' carne',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' café',\n", + " ' chantilly/creme azedo',\n", + " ' manteiga',\n", + " ' vasos de plantas',\n", + " ' Refeições congeladas',\n", + " ' produto de panificação longa vida',\n", + " ' leite inteiro',\n", + " ' açúcar',\n", + " ' vegetais congelados',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais congelados',\n", + " ' vegetais enlatados'],\n", + " [' requeijão',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' ervas',\n", + " ' água engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' maionese',\n", + " ' chá',\n", + " ' zwieback'],\n", + " [' vinho tinto/blush',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' cerveja engarrafada',\n", + " ' requeijão',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' vinho tinto/blush',\n", + " ' água engarrafada',\n", + " ' mostarda',\n", + " ' guardanapos',\n", + " ' Margarina'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' produtos sazonais',\n", + " ' misc. bebidas',\n", + " ' artigos de higiene',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' produto de panificação longa vida',\n", + " ' limpador de prato',\n", + " ' barra de especialidade',\n", + " ' ovos domésticos',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' água engarrafada'],\n", + " [' fruta tropical', ' iogurte', ' fruta semente', ' iogurte', ' iogurte'],\n", + " [' vinho tinto/blush',\n", + " ' cerveja em lata',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' queijo macio',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' chocolate especial',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' cerveja em lata',\n", + " ' Margarina',\n", + " ' sacolas de compras',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' óleo',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' misc. bebidas',\n", + " ' manteiga',\n", + " ' zwieback',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' licor',\n", + " ' jornais',\n", + " ' água engarrafada',\n", + " ' água engarrafada'],\n", + " [' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' queijo especial',\n", + " ' ovos domésticos',\n", + " ' goma de mascar'],\n", + " [' produtos de batata congelada',\n", + " ' citrino',\n", + " ' farinha',\n", + " ' pastelaria',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' salsicha',\n", + " ' uvas',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' pão integral',\n", + " ' Requeijão cremoso',\n", + " ' citrino',\n", + " ' vinho tinto/blush',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' produtos de rolo',\n", + " ' uvas',\n", + " ' outros vegetais',\n", + " ' comida de gato',\n", + " ' chocolate',\n", + " ' cerveja engarrafada',\n", + " ' legumes em conserva',\n", + " ' misc. bebidas',\n", + " ' vegetais congelados',\n", + " ' detergente',\n", + " ' sal'],\n", + " [' outros vegetais',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' coalhada',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' iogurte',\n", + " ' queijo duro',\n", + " ' sacolas de compras',\n", + " ' Margarina',\n", + " ' vegetais congelados',\n", + " ' cuidados com a pele',\n", + " ' cerveja engarrafada'],\n", + " [' citrino',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' lanche salgado',\n", + " ' pão branco',\n", + " ' Queijo processado',\n", + " ' jornais',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' vinho branco',\n", + " ' bebidas'],\n", + " [' farinha',\n", + " ' iogurte',\n", + " ' carne de porco',\n", + " ' carne de porco',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' chantilly/creme azedo',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " ' queijo duro'],\n", + " [' açúcar',\n", + " ' bebidas',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais enlatados',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' farinha',\n", + " ' salsicha',\n", + " ' pão branco',\n", + " ' água engarrafada',\n", + " ' Pipoca',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado'],\n", + " [' Refeições congeladas',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' farinha',\n", + " ' farinha',\n", + " ' cerveja engarrafada',\n", + " ' açúcar'],\n", + " [' chocolate',\n", + " ' jornais',\n", + " ' carne de porco',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' citrino',\n", + " ' óleo',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' outros vegetais',\n", + " ' uvas',\n", + " ' água engarrafada',\n", + " ' leite UHT',\n", + " 'waffles',\n", + " ' vegetais congelados'],\n", + " [' vegetais de raiz',\n", + " ' produtos finalizados',\n", + " ' suco de frutas/legumes',\n", + " ' salsicha',\n", + " ' vegetais especiais',\n", + " ' Requeijão cremoso',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' coalhada',\n", + " ' iogurte',\n", + " ' leite UHT',\n", + " ' pastelaria'],\n", + " [' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' fruta/legumes embalados',\n", + " ' vegetais congelados',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' chocolate especial',\n", + " ' artigos de higiene',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' produtos sazonais',\n", + " ' ovos domésticos',\n", + " ' amaciante'],\n", + " [' ervas',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' suco de frutas/legumes',\n", + " ' carne bovina',\n", + " ' comida de gato',\n", + " ' requeijão',\n", + " ' açúcar',\n", + " ' queijo duro',\n", + " ' vinho branco',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' queijo macio',\n", + " ' rolos/pãezinhos',\n", + " ' produto de panificação longa vida',\n", + " ' leite UHT',\n", + " ' doce'],\n", + " [' água engarrafada',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' frango',\n", + " ' Queijo processado',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados'],\n", + " [' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' café',\n", + " ' leite inteiro',\n", + " ' peru',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' ervas',\n", + " ' fruta tropical',\n", + " ' uvas',\n", + " ' fruta/legumes embalados',\n", + " ' espalhar queijo',\n", + " ' chocolate',\n", + " ' vegetais congelados'],\n", + " [' café',\n", + " ' vegetais de raiz',\n", + " ' peixe',\n", + " ' maionese',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' chocolate especial',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' maionese',\n", + " ' ervas',\n", + " ' guardanapos',\n", + " ' rolos/pãezinhos',\n", + " ' Sementes de flores)',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' carne de porco',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' bebidas',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' frango',\n", + " ' vegetais congelados',\n", + " ' Leite condensado'],\n", + " [' bagas',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo'],\n", + " [' refrigerante',\n", + " ' iogurte',\n", + " ' requeijão',\n", + " ' iogurte',\n", + " ' café',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' pão semi-acabado',\n", + " ' produtos de rolo',\n", + " ' óleo'],\n", + " [' bagas',\n", + " ' chocolate',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' carne bovina',\n", + " ' pastelaria',\n", + " ' pão integral',\n", + " ' vegetais de raiz',\n", + " ' manteiga'],\n", + " [' suco de frutas/legumes',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' carne de hamburguer',\n", + " ' presunto',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' massa',\n", + " ' açúcar',\n", + " ' fruta semente',\n", + " ' Leite condensado',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' goma de mascar'],\n", + " [' citrino',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' lanche salgado',\n", + " ' ervas',\n", + " ' carne de porco',\n", + " ' óleo',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' amaciante',\n", + " ' água engarrafada',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' pão integral',\n", + " ' outros vegetais'],\n", + " [' detergente',\n", + " ' vinho branco',\n", + " ' carne de porco',\n", + " ' misc. bebidas',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' produto de panificação longa vida',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' barra de bolo',\n", + " ' licor',\n", + " ' queijo macio',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' pão integral',\n", + " ' barra de bolo'],\n", + " [' uvas',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' manteiga',\n", + " ' frango',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' espalhar queijo',\n", + " ' chantilly/creme azedo',\n", + " ' pastas de carne',\n", + " ' manteiga'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' bebidas de cacau',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' Refeições congeladas',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais de raiz',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' barra de especialidade',\n", + " ' misc. bebidas',\n", + " ' rolos/pãezinhos',\n", + " ' pastas doces'],\n", + " [' frango',\n", + " ' carne de porco',\n", + " ' cerveja engarrafada',\n", + " ' produtos finalizados',\n", + " ' carne',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' pratos'],\n", + " [' leite inteiro',\n", + " ' peixe congelado',\n", + " ' cerveja engarrafada',\n", + " ' pão de fígado',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' pão integral',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' Queijo processado',\n", + " ' suco de frutas/legumes',\n", + " ' coalhada',\n", + " ' chantilly/creme azedo',\n", + " ' mostarda',\n", + " ' pão integral'],\n", + " [' citrino',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' doce',\n", + " ' chocolate',\n", + " ' açúcar',\n", + " ' iogurte'],\n", + " [' refrigerante',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' Soro de leite coalhado',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' outros vegetais',\n", + " ' vinagre'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' detergente',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' jornais',\n", + " ' comida de gato',\n", + " ' iogurte',\n", + " 'waffles'],\n", + " [' salsicha',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' óleo',\n", + " ' iogurte',\n", + " ' carne de hamburguer',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' ervas',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' sacolas de compras',\n", + " ' chocolate especial'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' fruta semente',\n", + " ' citrino',\n", + " ' marshmallow de chocolate',\n", + " ' café',\n", + " ' Requeijão cremoso',\n", + " ' água engarrafada',\n", + " ' açúcar',\n", + " ' água engarrafada'],\n", + " [' refrigerante',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' leite UHT',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' espalhar queijo',\n", + " ' açúcar',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' óleo',\n", + " ' legumes em conserva'],\n", + " [' rolos/pãezinhos',\n", + " ' sorvete',\n", + " ' comida de gato',\n", + " ' salsicha',\n", + " ' carne de hamburguer',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' nozes/ameixas',\n", + " ' cerveja engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' sacolas de compras',\n", + " ' pão integral',\n", + " ' pão branco',\n", + " ' iogurte',\n", + " ' jornais'],\n", + " [' carne bovina',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' citrino',\n", + " 'waffles',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' pão de fígado',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " 'waffles',\n", + " ' goma de mascar',\n", + " ' leite inteiro',\n", + " ' café',\n", + " ' sacolas de compras'],\n", + " [' leite inteiro',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' bagas',\n", + " ' Margarina',\n", + " ' manteiga',\n", + " ' fruta semente',\n", + " ' café',\n", + " ' Requeijão cremoso',\n", + " ' vegetais de raiz',\n", + " 'waffles',\n", + " ' lanche salgado',\n", + " ' suco de frutas/legumes'],\n", + " [' Queijo processado',\n", + " ' leite inteiro',\n", + " ' peixe',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' cerveja em lata',\n", + " ' pão integral',\n", + " ' chocolate'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' café',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' queijo fatiado'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' fruta tropical',\n", + " ' barra de especialidade',\n", + " ' rolos/pãezinhos'],\n", + " [' fruta/legumes embalados',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' legumes em conserva',\n", + " ' carne de porco',\n", + " ' ovos domésticos',\n", + " ' sacolas de compras',\n", + " ' farinha'],\n", + " [' leite inteiro',\n", + " ' uvas',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' pastelaria',\n", + " ' peru',\n", + " ' peru',\n", + " ' fruta/legumes embalados',\n", + " ' Requeijão cremoso',\n", + " ' rolos/pãezinhos',\n", + " ' pastas de carne',\n", + " ' barra de especialidade',\n", + " ' cerveja em lata',\n", + " ' pão integral',\n", + " ' pastelaria',\n", + " ' coalhada',\n", + " ' toalhas de cozinha',\n", + " ' produto de panificação longa vida',\n", + " ' leite UHT',\n", + " ' rolos/pãezinhos',\n", + " ' açúcar',\n", + " ' ovos domésticos',\n", + " ' produto de panificação longa vida'],\n", + " [' bagas',\n", + " ' água engarrafada',\n", + " ' carne de hamburguer',\n", + " ' barra de especialidade',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' goma de mascar',\n", + " ' fruta tropical',\n", + " ' chantilly/creme azedo',\n", + " ' chantilly/creme azedo',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' guardanapos',\n", + " ' refrigerante'],\n", + " [' citrino',\n", + " ' fruta tropical',\n", + " ' chocolate especial',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' chocolate',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' pão integral'],\n", + " [' fruta tropical',\n", + " ' outros vegetais',\n", + " ' uvas',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' produtos finalizados',\n", + " ' marshmallow de chocolate',\n", + " ' carne bovina',\n", + " ' uvas',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' vinho tinto/blush',\n", + " ' queijo fatiado',\n", + " ' chocolate',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' pão integral',\n", + " ' massa',\n", + " ' sobremesa congelada',\n", + " ' pastelaria'],\n", + " [' carne de hamburguer',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' jornais',\n", + " ' manteiga',\n", + " ' manteiga',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos'],\n", + " [' carne de hamburguer',\n", + " ' artigos de higiene',\n", + " ' manteiga',\n", + " ' leite UHT',\n", + " ' peixe enlatado',\n", + " ' pastas de carne',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' queijo especial',\n", + " ' lanche salgado',\n", + " ' sacolas de compras',\n", + " ' guardanapos'],\n", + " [' leite inteiro',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados',\n", + " ' marshmallow de chocolate',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos'],\n", + " [' peixe', ' vegetais de raiz', ' fruta tropical', ' outros vegetais'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' Queijo processado',\n", + " ' água engarrafada',\n", + " ' sobremesa',\n", + " ' refrigerante'],\n", + " [' fruta/legumes embalados',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' sobremesa',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' queijo fatiado',\n", + " ' vinho branco',\n", + " ' fruta semente',\n", + " ' mostarda',\n", + " ' petiscos',\n", + " ' lanche salgado',\n", + " ' frutas congeladas',\n", + " ' chantilly/creme azedo',\n", + " ' sacolas de compras',\n", + " ' pão branco'],\n", + " [' pastelaria',\n", + " ' zwieback',\n", + " ' fruta semente',\n", + " ' bagas',\n", + " ' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' queijo fatiado',\n", + " ' produtos sanitários femininos'],\n", + " [' outros vegetais',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' leite UHT',\n", + " ' pão branco',\n", + " ' ervas'],\n", + " [' misc. bebidas',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' presunto',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' fruta semente',\n", + " ' Fruta enlatada',\n", + " ' fruta semente',\n", + " ' Requeijão cremoso',\n", + " ' cebola',\n", + " ' pão integral',\n", + " ' pão semi-acabado',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' café',\n", + " ' limpador de banheiro',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada'],\n", + " [' salsicha',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' manteiga',\n", + " ' sacolas de compras',\n", + " ' pastelaria',\n", + " ' Margarina',\n", + " ' refrigerante',\n", + " ' leite UHT',\n", + " ' refrigerante',\n", + " ' produtos de rolo'],\n", + " [' espumante',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' zwieback',\n", + " ' vegetais congelados',\n", + " ' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' sal',\n", + " ' Margarina',\n", + " ' sobremesa congelada',\n", + " ' suco de frutas/legumes',\n", + " ' lanche salgado',\n", + " ' sacolas de compras',\n", + " ' sacolas de compras',\n", + " ' Requeijão cremoso',\n", + " ' óleo',\n", + " ' refrigerante'],\n", + " [' barra de especialidade',\n", + " ' carne de porco',\n", + " ' cerveja em lata',\n", + " ' doce',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' vegetais de raiz',\n", + " ' Refeições congeladas',\n", + " ' outros vegetais',\n", + " ' sorvete',\n", + " ' petiscos',\n", + " ' jornais',\n", + " ' coalhada',\n", + " ' queijo duro'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' coalhada',\n", + " ' vinho branco',\n", + " ' água engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' Refeições congeladas',\n", + " ' sobremesa'],\n", + " [' requeijão',\n", + " ' presunto',\n", + " ' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' chocolate',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' Margarina',\n", + " ' jornais',\n", + " ' bagas',\n", + " ' guardanapos',\n", + " ' chantilly/creme azedo',\n", + " ' pastelaria',\n", + " ' vegetais de raiz',\n", + " ' Requeijão cremoso'],\n", + " [' salsicha',\n", + " ' presunto',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' licor',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' ovos domésticos',\n", + " ' bagas',\n", + " ' pastelaria',\n", + " ' Soro de leite coalhado',\n", + " ' pastas de carne',\n", + " ' produto de panificação longa vida'],\n", + " [' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' ervas',\n", + " ' cerveja engarrafada',\n", + " ' café',\n", + " ' rolos/pãezinhos',\n", + " ' bebidas',\n", + " ' barra de bolo',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' jornais',\n", + " ' fruta semente',\n", + " ' uvas',\n", + " ' pão integral',\n", + " ' cebola',\n", + " ' água engarrafada',\n", + " ' café',\n", + " ' vegetais congelados'],\n", + " [' bagas',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' bagas',\n", + " ' fruta tropical',\n", + " ' doce',\n", + " ' carne bovina',\n", + " ' manteiga',\n", + " ' vegetais de raiz'],\n", + " [' coalhada',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' cerveja engarrafada',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' queijo macio',\n", + " ' lanche salgado',\n", + " ' carne de hamburguer',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' pastas doces',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' especiarias',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' suco de frutas/legumes',\n", + " ' pastelaria',\n", + " ' produtos de manutenção da casa',\n", + " ' suco de frutas/legumes',\n", + " ' detergente'],\n", + " [' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' bebidas',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' óleo',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' manteiga',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' queijo fatiado'],\n", + " [' refrigerante',\n", + " ' carne',\n", + " ' cerveja em lata',\n", + " ' espumante',\n", + " ' citrino',\n", + " ' café',\n", + " ' Refeições congeladas',\n", + " ' barra de especialidade',\n", + " ' cerveja em lata',\n", + " ' água engarrafada',\n", + " ' coalhada',\n", + " ' sobremesa'],\n", + " [' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' nozes/ameixas',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' suco de frutas/legumes',\n", + " ' maionese'],\n", + " [' cerveja em lata',\n", + " ' lanche salgado',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' fruta tropical',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' sobremesa',\n", + " ' vegetais de raiz',\n", + " ' suco de frutas/legumes',\n", + " ' pão semi-acabado',\n", + " ' coalhada',\n", + " ' pratos',\n", + " ' leite inteiro',\n", + " ' água engarrafada'],\n", + " [' cerveja em lata',\n", + " ' pratos',\n", + " ' uvas',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' sorvete',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' chocolate'],\n", + " [' salsicha',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' leite UHT',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' Refeições congeladas',\n", + " ' suco de frutas/legumes',\n", + " ' peixe enlatado',\n", + " ' pratos'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' presunto',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' ovos domésticos',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' Margarina',\n", + " ' fermento em pó',\n", + " ' água engarrafada',\n", + " ' Leite condensado',\n", + " ' pastelaria',\n", + " ' pastelaria'],\n", + " [' leite inteiro',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' bebidas',\n", + " ' presunto',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' pão semi-acabado',\n", + " ' lanche salgado',\n", + " ' sobremesa',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' guardanapos',\n", + " ' cebola',\n", + " ' presunto',\n", + " ' legumes em conserva',\n", + " ' pão branco',\n", + " ' doce',\n", + " ' pudim em pó',\n", + " ' lanche salgado',\n", + " ' fruta semente',\n", + " ' arroz',\n", + " ' farinha',\n", + " 'waffles',\n", + " ' sobremesa congelada'],\n", + " [' citrino',\n", + " ' água engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' mostarda',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' massa',\n", + " ' sacolas de compras',\n", + " ' leite inteiro'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' leite UHT',\n", + " ' manteiga',\n", + " ' barra de especialidade',\n", + " ' produtos finalizados',\n", + " ' manteiga',\n", + " ' fruta tropical',\n", + " ' barra de especialidade',\n", + " ' lanche salgado',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' Margarina',\n", + " ' barra de especialidade'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' carne bovina',\n", + " ' peixe congelado',\n", + " ' cebola',\n", + " ' arroz',\n", + " ' guardanapos'],\n", + " [' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' citrino',\n", + " ' presunto',\n", + " ' ovos domésticos',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' ovos domésticos',\n", + " ' detergente'],\n", + " [' carne de hamburguer',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' Refeições congeladas',\n", + " ' Margarina',\n", + " ' queijo macio',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' coalhada',\n", + " ' misc. bebidas',\n", + " ' cerveja em lata',\n", + " ' legumes em conserva',\n", + " ' suco de frutas/legumes',\n", + " ' marshmallow de chocolate'],\n", + " [' massa',\n", + " ' salsicha',\n", + " ' carne de hamburguer',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' molhos',\n", + " ' rolos/pãezinhos',\n", + " ' vinho tinto/blush',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' limpador abrasivo',\n", + " ' misc. bebidas',\n", + " ' café',\n", + " ' Sementes de flores)',\n", + " ' produtos sazonais',\n", + " ' comida de gato'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' Requeijão cremoso',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' fermento em pó',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' queijo macio',\n", + " ' cerveja engarrafada',\n", + " ' chocolate especial',\n", + " ' amaciante',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' citrino',\n", + " ' produto de panificação longa vida',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' pão branco',\n", + " ' carne bovina',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' guardanapos',\n", + " ' Margarina',\n", + " ' barra de bolo'],\n", + " [' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' pão branco',\n", + " ' cerveja engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' ervas',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' guardanapos',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' espalhar queijo',\n", + " ' pão integral',\n", + " ' goma de mascar',\n", + " ' chantilly/creme azedo',\n", + " ' cerveja engarrafada',\n", + " ' chocolate especial',\n", + " ' cebola',\n", + " ' rolos/pãezinhos',\n", + " ' vinho tinto/blush',\n", + " ' velas',\n", + " ' suco de frutas/legumes',\n", + " ' suco de frutas/legumes',\n", + " ' molho de salada',\n", + " ' misc. bebidas'],\n", + " [' uvas',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' frango',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' sobremesa congelada',\n", + " ' fruta tropical',\n", + " ' Refeições congeladas',\n", + " ' suco de frutas/legumes',\n", + " ' açúcar',\n", + " ' fruta semente',\n", + " ' espumante',\n", + " ' detergente'],\n", + " [' vegetais de raiz',\n", + " ' carne de hamburguer',\n", + " ' presunto',\n", + " ' água engarrafada',\n", + " ' citrino',\n", + " ' açúcar',\n", + " ' sorvete',\n", + " ' iogurte',\n", + " ' guardanapos',\n", + " ' sorvete',\n", + " ' leite inteiro',\n", + " ' sacolas de compras',\n", + " ' marshmallow de chocolate',\n", + " ' barra de especialidade',\n", + " ' doce',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais congelados',\n", + " ' arroz',\n", + " ' cerveja em lata'],\n", + " [' café',\n", + " ' salsicha',\n", + " ' sobremesa congelada',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' barra de especialidade',\n", + " ' ervas',\n", + " ' queijo fatiado',\n", + " ' suco de frutas/legumes',\n", + " ' vinho tinto/blush',\n", + " ' pão integral'],\n", + " [' Pipoca',\n", + " ' presunto',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' óleo',\n", + " ' carne de porco',\n", + " ' carne de porco',\n", + " ' cebola',\n", + " ' Margarina',\n", + " ' bebidas',\n", + " ' outros vegetais',\n", + " ' misc. bebidas',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' coalhada',\n", + " ' carne bovina',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' manteiga',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' leite inteiro'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' Margarina',\n", + " ' guardanapos',\n", + " ' cosméticos masculinos'],\n", + " [' fruta tropical',\n", + " ' chocolate',\n", + " ' produtos finalizados',\n", + " ' detergente',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' Sementes de flores)',\n", + " ' óleo',\n", + " ' bebidas',\n", + " ' fermento em pó',\n", + " ' bagas',\n", + " ' amaciante',\n", + " ' vinho branco',\n", + " ' Soro de leite coalhado',\n", + " ' rolos/pãezinhos',\n", + " ' barra de especialidade',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' artigos de higiene'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' Margarina',\n", + " ' cerveja em lata',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' pastas de carne'],\n", + " [' leite inteiro', ' rolos/pãezinhos'],\n", + " [' salsicha',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' carne de hamburguer',\n", + " ' Soro de leite coalhado',\n", + " ' café'],\n", + " [' fruta tropical',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' lanche de nozes',\n", + " ' guardanapos'],\n", + " [' cerveja em lata',\n", + " ' refrigerante',\n", + " ' Sementes de flores)',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' fruta tropical',\n", + " ' vegetais congelados',\n", + " ' Margarina',\n", + " ' mel',\n", + " ' leite UHT',\n", + " ' suco de frutas/legumes',\n", + " ' jornais',\n", + " ' ketchup'],\n", + " [' produtos finalizados',\n", + " ' cerveja em lata',\n", + " ' detergente',\n", + " ' salsicha',\n", + " ' sorvete',\n", + " ' mel',\n", + " ' vinho tinto/blush',\n", + " ' Refeições congeladas',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' sal',\n", + " ' carne de hamburguer',\n", + " ' bebidas',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' pão branco',\n", + " ' cerveja em lata',\n", + " ' cereais',\n", + " ' açúcar',\n", + " ' sobremesa congelada',\n", + " ' chantilly/creme azedo',\n", + " 'sopas prontas'],\n", + " [' bebidas',\n", + " ' cerveja em lata',\n", + " ' carne bovina',\n", + " ' Requeijão cremoso',\n", + " ' carne',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' fruta semente',\n", + " ' fruta tropical'],\n", + " [' carne de hamburguer',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' bebidas',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' Margarina',\n", + " ' refrigerante',\n", + " ' velas'],\n", + " [' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' chantilly/creme azedo',\n", + " ' massa',\n", + " ' leite inteiro',\n", + " 'waffles',\n", + " ' citrino',\n", + " ' água engarrafada',\n", + " ' sacolas de compras'],\n", + " [' produtos finalizados',\n", + " ' citrino',\n", + " ' guardanapos',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' fruta semente',\n", + " ' uvas',\n", + " ' vegetais de raiz',\n", + " ' sacolas de compras',\n", + " ' outros vegetais',\n", + " ' queijo fatiado'],\n", + " [' outros vegetais', ' chantilly/creme azedo'],\n", + " [' presunto',\n", + " ' licor',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' conhaque',\n", + " ' foto/filme',\n", + " ' chocolate especial',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' suco de frutas/legumes',\n", + " ' cerveja em lata',\n", + " ' chantilly/creme azedo'],\n", + " [' outros vegetais',\n", + " ' pastelaria',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' café instantâneo',\n", + " ' café'],\n", + " [' coalhada',\n", + " ' salsicha',\n", + " ' Requeijão cremoso',\n", + " ' salsicha',\n", + " ' coalhada',\n", + " ' manteiga',\n", + " ' misc. bebidas',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' pastelaria'],\n", + " [' cerveja engarrafada',\n", + " ' iogurte',\n", + " ' misc. bebidas',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' queijo duro',\n", + " ' ervas',\n", + " ' açúcar'],\n", + " [' coalhada',\n", + " ' carne',\n", + " ' pastas doces',\n", + " ' salsicha',\n", + " ' produtos de batata congelada',\n", + " ' vinho branco'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' requeijão',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' Refeições congeladas',\n", + " ' refrigerante'],\n", + " [' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' sorvete',\n", + " ' rolos/pãezinhos',\n", + " ' queijo duro',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' vegetais congelados',\n", + " ' café'],\n", + " [' sobremesa',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' iogurte',\n", + " ' citrino',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' chocolate',\n", + " ' uvas',\n", + " ' queijo duro',\n", + " ' rolos/pãezinhos',\n", + " ' guardanapos',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' iogurte'],\n", + " [' salsicha', ' pão branco', ' vegetais de raiz', ' café'],\n", + " [' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' Margarina',\n", + " ' bebidas',\n", + " ' vegetais de raiz',\n", + " ' chantilly/creme azedo'],\n", + " [' presunto',\n", + " ' citrino',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' cerveja em lata',\n", + " ' pudim em pó'],\n", + " [' outros vegetais',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' fruta semente',\n", + " ' Requeijão cremoso',\n", + " ' Soro de leite coalhado',\n", + " ' outros vegetais',\n", + " ' barra de bolo',\n", + " ' manteiga'],\n", + " [' outros vegetais',\n", + " ' Leite condensado',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' limpador de prato',\n", + " ' vinho branco',\n", + " ' peixe enlatado',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' sopas',\n", + " ' farinha',\n", + " ' leite inteiro',\n", + " ' Leite condensado',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' sacolas de compras',\n", + " ' Produtos alimentares instantâneos',\n", + " ' vegetais congelados',\n", + " 'waffles',\n", + " ' película aderente/sacos',\n", + " ' ovos domésticos'],\n", + " [' refrigerante',\n", + " ' legumes em conserva',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' salsicha orgânica',\n", + " ' zwieback',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' barra de especialidade',\n", + " ' fruta/legumes embalados',\n", + " ' iogurte',\n", + " ' detergente',\n", + " ' fermento em pó'],\n", + " [' ervas',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' massa'],\n", + " [' salsicha',\n", + " ' açúcar',\n", + " ' citrino',\n", + " ' vinho branco',\n", + " ' bagas',\n", + " ' sacolas de compras',\n", + " ' produtos sazonais',\n", + " ' refrigerante',\n", + " ' jornais',\n", + " ' cerveja engarrafada'],\n", + " [' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' Queijo processado',\n", + " ' citrino',\n", + " ' Soro de leite coalhado',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' cereais',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' especiarias',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' guardanapos',\n", + " ' chocolate',\n", + " ' sacolas de compras'],\n", + " [' coalhada',\n", + " ' cerveja engarrafada',\n", + " ' manteiga',\n", + " ' chocolate',\n", + " ' iogurte',\n", + " ' coalhada',\n", + " ' jornais',\n", + " ' cerveja em lata'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' marshmallow de chocolate'],\n", + " [' outros vegetais',\n", + " ' Margarina',\n", + " ' leite UHT',\n", + " ' bebidas',\n", + " ' chantilly/creme azedo',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' ovos domésticos',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' doce'],\n", + " [' comida de cão',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' cerveja em lata',\n", + " ' chantilly/creme azedo',\n", + " ' fruta semente',\n", + " ' carne de porco',\n", + " ' cerveja engarrafada',\n", + " ' queijo especial',\n", + " ' queijo fatiado',\n", + " ' vegetais enlatados',\n", + " ' sobremesa',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' pão branco',\n", + " ' açúcar',\n", + " ' lanches'],\n", + " [' barra de especialidade',\n", + " ' outros vegetais',\n", + " ' guardanapos',\n", + " ' Requeijão cremoso',\n", + " ' coalhada',\n", + " ' manteiga'],\n", + " [' coalhada',\n", + " ' rolos/pãezinhos',\n", + " ' carne',\n", + " ' bebidas',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' chocolate especial',\n", + " ' vinho tinto/blush'],\n", + " [' salsicha', ' bebidas', ' chocolate especial', ' sacolas de compras'],\n", + " [' refrigerante',\n", + " ' cerveja em lata',\n", + " ' limpador abrasivo',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' café',\n", + " ' iogurte',\n", + " ' comida de gato',\n", + " ' sacolas de compras',\n", + " ' Refeições congeladas'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados',\n", + " ' leite inteiro',\n", + " ' leite UHT',\n", + " ' comida de gato',\n", + " ' película aderente/sacos',\n", + " ' suco de frutas/legumes',\n", + " ' velas'],\n", + " [' cerveja em lata',\n", + " ' bagas',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' uvas',\n", + " ' pão branco',\n", + " ' goma de mascar',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' farinha'],\n", + " [' carne de porco',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' fruta tropical',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' guardanapos',\n", + " ' iogurte',\n", + " ' cebola',\n", + " ' outros vegetais',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' chantilly/creme azedo',\n", + " ' comida de cão',\n", + " ' citrino',\n", + " ' água engarrafada',\n", + " ' vegetais especiais'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' peixe',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' jornais',\n", + " ' refrigerante',\n", + " ' produtos de batata congelada',\n", + " ' produto de panificação longa vida',\n", + " ' ovos domésticos',\n", + " ' chantilly/creme azedo',\n", + " ' vinagre',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' vasos de plantas',\n", + " ' produto de panificação longa vida'],\n", + " [' cerveja em lata',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' bagas',\n", + " ' água engarrafada',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' sacolas de compras'],\n", + " [' chocolate especial',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' fruta tropical',\n", + " ' farinha',\n", + " ' pastas doces',\n", + " ' chantilly/creme azedo',\n", + " ' chantilly/creme azedo',\n", + " ' óleo'],\n", + " [' coalhada',\n", + " ' iogurte',\n", + " ' Requeijão cremoso',\n", + " ' vasos de plantas',\n", + " ' barra de especialidade',\n", + " ' sacolas de compras'],\n", + " [' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' suco de frutas/legumes',\n", + " ' vinho tinto/blush'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' bagas',\n", + " ' pão integral',\n", + " ' sobremesa',\n", + " ' presunto',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' artigos de higiene',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' vegetais congelados',\n", + " ' sacolas de compras',\n", + " ' água engarrafada'],\n", + " [' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' cerveja engarrafada',\n", + " ' uvas',\n", + " ' água engarrafada',\n", + " ' massa',\n", + " ' cerveja em lata'],\n", + " [' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' peru',\n", + " ' presunto',\n", + " ' uvas',\n", + " ' salsicha',\n", + " ' coalhada',\n", + " ' fruta tropical',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' pratos',\n", + " ' ketchup',\n", + " ' Queijo processado',\n", + " ' pastelaria',\n", + " ' refrigerante'],\n", + " [' citrino',\n", + " ' pão de fígado',\n", + " ' citrino',\n", + " ' frango',\n", + " ' carne bovina',\n", + " ' sacolas de compras',\n", + " ' cebola',\n", + " ' misc. bebidas',\n", + " ' rolos/pãezinhos',\n", + " ' misc. bebidas',\n", + " ' espalhar queijo',\n", + " ' gordura especial',\n", + " ' rolos/pãezinhos',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' jornais',\n", + " ' pastelaria',\n", + " ' pão semi-acabado'],\n", + " [' vasos de plantas',\n", + " ' óleo',\n", + " ' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' Queijo processado',\n", + " ' Refeições congeladas'],\n", + " [' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' manteiga',\n", + " ' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' amaciante',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' chocolate',\n", + " ' doce'],\n", + " [' manteiga',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' cebola',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' Requeijão cremoso',\n", + " ' pastelaria',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' queijo duro',\n", + " ' iogurte'],\n", + " [' Leite condensado', ' cerveja em lata', ' cebola', ' café'],\n", + " [' salsicha',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' bebidas de cacau',\n", + " ' pastelaria',\n", + " ' Sementes de flores)',\n", + " ' marshmallow de chocolate',\n", + " ' cerveja em lata'],\n", + " [' salsicha',\n", + " ' carne bovina',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' carne',\n", + " ' salsicha',\n", + " ' bagas',\n", + " ' refrigerante',\n", + " ' produtos de batata congelada',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' ovos domésticos',\n", + " ' cereais',\n", + " ' pão branco',\n", + " ' ovos domésticos',\n", + " ' jornais'],\n", + " [' bebidas',\n", + " ' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' peixe enlatado',\n", + " ' queijo macio',\n", + " ' barra de bolo',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados',\n", + " ' açúcar',\n", + " ' pão integral',\n", + " ' maionese',\n", + " ' sacolas de compras'],\n", + " [' bebidas',\n", + " ' refrigerante',\n", + " ' leite UHT',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' queijo macio',\n", + " ' água engarrafada',\n", + " ' óleo',\n", + " ' chocolate',\n", + " ' rolos/pãezinhos',\n", + " ' fermento em pó'],\n", + " [' água engarrafada',\n", + " ' queijo fatiado',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' óleo',\n", + " ' xarope'],\n", + " [' jornais',\n", + " ' salsicha orgânica',\n", + " ' fruta semente',\n", + " ' sacolas de compras',\n", + " ' jornais',\n", + " ' chantilly/creme azedo'],\n", + " [' limpador',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' pão de fígado',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' goma de mascar',\n", + " ' barra de especialidade',\n", + " ' vinagre',\n", + " ' barra de especialidade',\n", + " ' queijo fatiado',\n", + " ' leite inteiro',\n", + " ' pão branco'],\n", + " [' salsicha',\n", + " ' cebola',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' espalhar queijo',\n", + " ' produtos de manutenção da casa',\n", + " ' carne',\n", + " ' óleo',\n", + " ' chá',\n", + " ' cebola',\n", + " ' fruta tropical',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' comida de gato',\n", + " ' artigos de higiene',\n", + " ' coalhada',\n", + " ' queijo duro',\n", + " ' cerveja engarrafada',\n", + " ' comida de gato'],\n", + " [' jornais',\n", + " ' refrigerante',\n", + " ' fruta semente',\n", + " ' carne bovina',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' sacolas de compras',\n", + " ' doce'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' pastelaria',\n", + " ' fruta semente',\n", + " ' produtos sazonais',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' coalhada',\n", + " ' rolos/pãezinhos',\n", + " ' massa',\n", + " ' vinho branco',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' vinho branco',\n", + " ' produto de panificação longa vida',\n", + " 'waffles'],\n", + " [' misc. bebidas',\n", + " ' salsicha',\n", + " ' cebola',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' chocolate especial',\n", + " ' produto de panificação longa vida'],\n", + " [' salsicha',\n", + " ' zwieback',\n", + " ' detergente',\n", + " ' frango',\n", + " ' bebidas',\n", + " ' sacolas de compras',\n", + " ' fruta tropical',\n", + " ' sorvete',\n", + " ' toalhas de cozinha',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' Margarina'],\n", + " [' carne',\n", + " ' queijo macio',\n", + " ' leite inteiro',\n", + " ' Refeições congeladas',\n", + " ' cerveja em lata',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' vinho tinto/blush',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' jornais',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' guardanapos'],\n", + " [' salsicha',\n", + " ' pão integral',\n", + " ' leite UHT',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' pastelaria',\n", + " ' manteiga',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada'],\n", + " [' sorvete',\n", + " ' carne bovina',\n", + " ' frango',\n", + " ' carne bovina',\n", + " ' frango',\n", + " ' sobremesa congelada',\n", + " ' bagas',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' Refeições congeladas',\n", + " ' fruta tropical',\n", + " ' jornais',\n", + " ' açúcar',\n", + " ' suco de frutas/legumes',\n", + " ' Refeições congeladas',\n", + " ' sobremesa congelada',\n", + " ' licor',\n", + " ' pão branco',\n", + " ' jornais',\n", + " ' limpador de prato'],\n", + " [' cerveja em lata',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' jornais'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' queijo fatiado',\n", + " ' salsicha',\n", + " ' bagas',\n", + " ' Refeições congeladas',\n", + " ' carne',\n", + " ' carne bovina',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' licor',\n", + " ' queijo fatiado',\n", + " ' chocolate',\n", + " ' cosméticos masculinos',\n", + " ' sacolas de compras',\n", + " ' suco de frutas/legumes'],\n", + " [' carne',\n", + " ' carne bovina',\n", + " ' pão semi-acabado',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' óleo',\n", + " ' vegetais congelados',\n", + " ' pão integral',\n", + " ' óleo',\n", + " ' produto de panificação longa vida',\n", + " ' café instantâneo',\n", + " ' café instantâneo',\n", + " ' outros vegetais',\n", + " ' artigos de higiene'],\n", + " [' leite inteiro',\n", + " ' utensílios de cozinha',\n", + " ' refrigerante',\n", + " ' frango',\n", + " ' barra de especialidade',\n", + " ' coalhada',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' comida de cão',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' Requeijão cremoso'],\n", + " [' salsicha', ' leite inteiro', ' iogurte', ' ovos domésticos'],\n", + " [' carne',\n", + " ' leite UHT',\n", + " ' uvas',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' produto de panificação longa vida',\n", + " ' ovos domésticos'],\n", + " [' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' cereais',\n", + " ' cerveja em lata',\n", + " ' pão branco',\n", + " ' rolos/pãezinhos'],\n", + " [' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' sacolas de compras',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' jornais'],\n", + " [' leite inteiro',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' chantilly/creme azedo',\n", + " ' Refeições congeladas',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' outros vegetais'],\n", + " [' citrino',\n", + " ' suco de frutas/legumes',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' massa',\n", + " ' sobremesa',\n", + " ' sorvete',\n", + " ' peixe congelado'],\n", + " [' citrino',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' licor',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' fruta tropical',\n", + " ' cerveja engarrafada',\n", + " ' açúcar'],\n", + " [' outros vegetais',\n", + " ' Soro de leite coalhado',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' conhaque'],\n", + " [' citrino',\n", + " ' chocolate',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' pão semi-acabado',\n", + " ' sacolas de compras',\n", + " ' arroz',\n", + " ' Margarina',\n", + " ' vegetais congelados',\n", + " ' pão integral',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' sorvete',\n", + " ' carne de hamburguer',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' carne de porco',\n", + " ' chantilly/creme azedo',\n", + " ' rolos/pãezinhos'],\n", + " [' salsicha',\n", + " ' sabão',\n", + " ' sacolas de compras',\n", + " ' produto de panificação longa vida',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' rum',\n", + " ' coalhada',\n", + " ' vegetais enlatados',\n", + " ' café instantâneo',\n", + " ' ovos domésticos'],\n", + " [' queijo duro',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' barra de especialidade',\n", + " ' pastelaria',\n", + " ' pão branco',\n", + " ' refrigerante',\n", + " ' vinagre',\n", + " ' produto de panificação longa vida',\n", + " ' ovos domésticos'],\n", + " [' Requeijão cremoso',\n", + " ' pão integral',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' queijo duro',\n", + " ' carne de porco',\n", + " ' carne',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' jornais',\n", + " ' vegetais de raiz',\n", + " ' bebidas',\n", + " ' lanche salgado',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' jornais'],\n", + " [' peru',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' fruta semente',\n", + " ' coalhada',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' detergente',\n", + " ' xarope'],\n", + " [' carne de porco',\n", + " ' chocolate especial',\n", + " ' chocolate especial',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' refrigerante',\n", + " ' sobremesa congelada',\n", + " ' pão branco',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' fermento em pó',\n", + " ' pão integral',\n", + " ' vegetais congelados',\n", + " ' detergente',\n", + " ' requeijão',\n", + " ' chantilly/creme azedo',\n", + " ' Requeijão cremoso',\n", + " ' café'],\n", + " [' rolos/pãezinhos', ' licor (aperitivo)'],\n", + " [' salsicha',\n", + " ' pão branco',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' maionese',\n", + " ' óleo',\n", + " ' leite inteiro',\n", + " ' pratos'],\n", + " [' sorvete',\n", + " ' jornais',\n", + " ' cebola',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' carne de hamburguer',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' limpador de prato',\n", + " ' barra de especialidade',\n", + " ' iogurte',\n", + " ' queijo especial',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' jornais'],\n", + " [' fruta semente',\n", + " ' carne bovina',\n", + " ' leite UHT',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' velas',\n", + " ' flor solo/fertilizante',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' lanche salgado',\n", + " ' café'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' Leite condensado',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' Requeijão cremoso',\n", + " ' vinho branco',\n", + " 'waffles',\n", + " ' suco de frutas/legumes',\n", + " ' chocolate'],\n", + " [' refrigerante',\n", + " ' carne',\n", + " ' citrino',\n", + " ' fruta semente',\n", + " ' limpador de prato',\n", + " ' presunto',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' vegetais de raiz',\n", + " ' uvas',\n", + " ' vegetais congelados',\n", + " ' ketchup',\n", + " ' cerveja em lata'],\n", + " [' refrigerante',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' café',\n", + " ' refrigerante',\n", + " ' cereais'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' pão branco',\n", + " ' rolos/pãezinhos',\n", + " ' pão integral'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais'],\n", + " [' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' amaciante',\n", + " ' carne de hamburguer',\n", + " ' vinho tinto/blush',\n", + " ' sal',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' água engarrafada'],\n", + " [' carne de porco',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' artigos de higiene',\n", + " ' guardanapos'],\n", + " [' chocolate',\n", + " ' Requeijão cremoso',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' flor solo/fertilizante',\n", + " ' suco de frutas/legumes',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' carne',\n", + " ' produto de panificação longa vida',\n", + " ' misc. bebidas',\n", + " ' sacolas de compras',\n", + " ' refrigerante',\n", + " ' Queijo processado',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos'],\n", + " [' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' carne de hamburguer',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' lanche salgado',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' pratos',\n", + " ' sobremesa'],\n", + " [' legumes em conserva',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' película aderente/sacos'],\n", + " [' água engarrafada',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' carne de porco',\n", + " ' fruta semente',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' vinho branco',\n", + " ' Refeições congeladas',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado',\n", + " ' Leite condensado',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' foto/filme',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' pão integral',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' Requeijão cremoso'],\n", + " [' fruta tropical',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' foto/filme',\n", + " ' leite inteiro'],\n", + " [' cerveja em lata',\n", + " ' carne de hamburguer',\n", + " ' presunto',\n", + " ' citrino',\n", + " ' pratos',\n", + " ' água engarrafada',\n", + " ' cerveja em lata',\n", + " ' gordura especial',\n", + " ' sopas'],\n", + " [' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' sobremesa congelada',\n", + " ' ovos domésticos',\n", + " ' óleo'],\n", + " [' carne',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' goma de mascar',\n", + " ' pão branco'],\n", + " [' fruta tropical',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " 'waffles',\n", + " ' lanches',\n", + " ' pastelaria',\n", + " ' sobremesa',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos'],\n", + " [' fruta tropical',\n", + " ' jornais',\n", + " ' comida de gato',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' rum',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' farinha',\n", + " ' toalhas de cozinha'],\n", + " [' citrino',\n", + " ' uvas',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' cebola',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' vasos de plantas',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' lanche salgado',\n", + " ' ovos domésticos',\n", + " ' jornais',\n", + " ' sacolas de compras',\n", + " ' ovos domésticos',\n", + " ' ovos domésticos'],\n", + " [' carne de hamburguer',\n", + " ' coalhada',\n", + " ' citrino',\n", + " ' água engarrafada',\n", + " ' manteiga',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' Soro de leite coalhado',\n", + " ' refrigerante',\n", + " ' jornais',\n", + " ' sal'],\n", + " [' frango',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' peixe congelado',\n", + " ' Sementes de flores)',\n", + " ' fermento em pó',\n", + " ' spray de cabelo',\n", + " ' ovos domésticos',\n", + " ' açúcar',\n", + " ' vegetais congelados',\n", + " ' sobremesa',\n", + " ' mel',\n", + " ' suco de frutas/legumes',\n", + " ' Queijo processado'],\n", + " [' frango',\n", + " ' pão branco',\n", + " ' carne bovina',\n", + " ' carne de hamburguer',\n", + " ' carne de porco',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' Refeições congeladas',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' barra de especialidade'],\n", + " [' salsicha',\n", + " ' sacolas de compras',\n", + " ' comida de gato',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' produtos sazonais',\n", + " ' coalhada',\n", + " ' espumante',\n", + " ' queijo duro',\n", + " ' vegetais de raiz',\n", + " ' café',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' queijo duro',\n", + " ' chantilly/creme azedo',\n", + " ' jornais'],\n", + " [' cerveja em lata',\n", + " ' carne',\n", + " ' salsicha',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' chantilly/creme azedo',\n", + " ' leite UHT',\n", + " ' jornais',\n", + " ' bebidas'],\n", + " [' peru',\n", + " ' outros vegetais',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' peixe enlatado',\n", + " ' goma de mascar'],\n", + " [' fruta/legumes embalados',\n", + " ' leite UHT',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' cebola',\n", + " ' ovos domésticos'],\n", + " [' massa',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' chocolate',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' chantilly/creme azedo',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' barra de especialidade',\n", + " ' molhos'],\n", + " [' citrino',\n", + " ' fruta tropical',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' lanche de nozes',\n", + " ' água engarrafada',\n", + " ' especiarias',\n", + " ' produto de panificação longa vida',\n", + " ' queijo fatiado',\n", + " ' rolos/pãezinhos',\n", + " ' foto/filme'],\n", + " [' salsicha',\n", + " ' iogurte',\n", + " ' bagas',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' barra de especialidade',\n", + " 'waffles'],\n", + " [' leite inteiro',\n", + " ' café',\n", + " ' fruta/legumes embalados',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' peixe congelado',\n", + " ' maionese'],\n", + " [' cerveja em lata',\n", + " ' citrino',\n", + " ' sobremesa',\n", + " ' carne de hamburguer',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' peixe enlatado',\n", + " ' produto de panificação longa vida',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' limpador de prato',\n", + " ' sacolas de compras',\n", + " ' pão branco',\n", + " ' película aderente/sacos',\n", + " ' rolos/pãezinhos',\n", + " ' queijo especial'],\n", + " [' citrino',\n", + " ' pastelaria',\n", + " ' maionese',\n", + " ' salsicha',\n", + " ' peru',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' guardanapos',\n", + " ' ovos domésticos',\n", + " ' refrigerante',\n", + " ' peixe enlatado'],\n", + " [' licor (aperitivo)',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' vinho branco',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' queijo fatiado',\n", + " ' queijo duro',\n", + " ' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' óleo',\n", + " ' óleo',\n", + " ' iogurte',\n", + " ' pastelaria',\n", + " ' ovos domésticos',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' doce',\n", + " ' vegetais enlatados'],\n", + " [' citrino',\n", + " ' leite UHT',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' chocolate especial',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' licor',\n", + " ' refrigerante',\n", + " ' pratos',\n", + " 'waffles',\n", + " ' Leite condensado',\n", + " ' refrigerante',\n", + " ' mostarda',\n", + " ' água engarrafada',\n", + " ' pão branco',\n", + " ' chantilly/creme azedo',\n", + " ' toalhas de cozinha',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' lanche salgado',\n", + " ' rum',\n", + " ' sopas',\n", + " ' sacolas de compras',\n", + " ' cerveja engarrafada',\n", + " ' clínica de cuidado de animais domésticos'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' carne',\n", + " ' fruta tropical',\n", + " ' cerveja engarrafada',\n", + " ' café',\n", + " ' cebola',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' Refeições congeladas',\n", + " ' licor',\n", + " ' leite UHT',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' ovos domésticos',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " 'waffles',\n", + " ' água engarrafada',\n", + " ' geléia',\n", + " ' produto de panificação longa vida',\n", + " ' pastelaria',\n", + " ' produtos de manutenção da casa'],\n", + " [' frango',\n", + " ' vegetais enlatados',\n", + " ' marshmallow de chocolate',\n", + " ' cebola',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' óleo',\n", + " ' coalhada',\n", + " ' detergente'],\n", + " [' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' vegetais congelados',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' foto/filme',\n", + " ' leite inteiro',\n", + " ' massa',\n", + " ' Requeijão cremoso'],\n", + " [' salsicha',\n", + " ' pratos',\n", + " ' Soro de leite coalhado',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' sobremesa',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos'],\n", + " [' carne bovina',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado'],\n", + " [' citrino',\n", + " ' cerveja em lata',\n", + " ' sorvete',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' óleo',\n", + " ' misc. bebidas',\n", + " ' cerveja engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo',\n", + " ' jornais',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' leite UHT',\n", + " ' leite UHT',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' Soro de leite coalhado',\n", + " ' vegetais de raiz',\n", + " ' sacolas de compras',\n", + " ' manteiga',\n", + " ' sacolas de compras',\n", + " ' guardanapos'],\n", + " [' doce',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' bagas',\n", + " ' vinho tinto/blush',\n", + " ' rolos/pãezinhos',\n", + " ' mostarda',\n", + " ' cerveja em lata'],\n", + " [' jornais',\n", + " ' refrigerante',\n", + " ' Requeijão cremoso',\n", + " ' salsicha',\n", + " ' suco de frutas/legumes',\n", + " ' Margarina',\n", + " ' açúcar',\n", + " ' limpador de prato'],\n", + " [' carne bovina',\n", + " ' fruta tropical',\n", + " ' Refeições congeladas',\n", + " ' cerveja em lata',\n", + " ' peixe congelado',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' cuidado dental',\n", + " ' leite inteiro'],\n", + " [' salsicha',\n", + " ' citrino',\n", + " ' manteiga',\n", + " ' pão branco',\n", + " ' bebidas',\n", + " ' Margarina',\n", + " ' velas',\n", + " ' massa'],\n", + " [' salsicha',\n", + " ' bagas',\n", + " ' ovos domésticos',\n", + " ' café',\n", + " ' cerveja engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' pratos',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' Soro de leite coalhado',\n", + " ' doce',\n", + " ' produtos de manutenção da casa',\n", + " ' artigos de higiene',\n", + " ' jornais'],\n", + " [' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' guardanapos',\n", + " ' sal',\n", + " ' vegetais congelados',\n", + " ' pão semi-acabado',\n", + " ' comida de gato',\n", + " ' guardanapos',\n", + " ' doce'],\n", + " [' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' foto/filme',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' chocolate',\n", + " ' Refeições congeladas',\n", + " ' pastelaria',\n", + " ' Requeijão cremoso'],\n", + " [' cebola',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' vegetais de raiz',\n", + " ' vasos de plantas',\n", + " ' requeijão',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' sopas',\n", + " ' refrigerante',\n", + " ' chocolate',\n", + " ' café',\n", + " ' guardanapos'],\n", + " [' fruta tropical',\n", + " ' produtos finalizados',\n", + " ' carne de porco',\n", + " ' cebola',\n", + " ' cerveja em lata',\n", + " ' massa',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' artigos de higiene',\n", + " ' pastelaria'],\n", + " [' água engarrafada',\n", + " ' vegetais de raiz',\n", + " ' misc. bebidas',\n", + " ' Produtos alimentares instantâneos',\n", + " ' suco de frutas/legumes'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' bagas',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' vegetais de raiz'],\n", + " [' salsicha',\n", + " ' presunto',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' barra de especialidade',\n", + " ' sorvete',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' Refeições congeladas',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' toalhas de cozinha',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' suco de frutas/legumes'],\n", + " [' spray de cabelo',\n", + " ' pão de fígado',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' sobremesa',\n", + " ' chocolate',\n", + " ' chantilly/creme azedo',\n", + " ' espalhar queijo',\n", + " ' jornais',\n", + " ' ervas',\n", + " ' rolos/pãezinhos',\n", + " ' detergente',\n", + " ' artif. adoçante'],\n", + " [' frango',\n", + " ' carne de hamburguer',\n", + " ' vegetais de raiz',\n", + " ' vasos de plantas',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' sal',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' carne de porco',\n", + " ' carne bovina',\n", + " ' fruta/legumes embalados',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' pastas doces',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' sorvete',\n", + " ' peixe',\n", + " ' frango',\n", + " ' citrino',\n", + " ' legumes em conserva',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' queijo duro',\n", + " ' jornais'],\n", + " [' carne', ' leite inteiro', ' chantilly/creme azedo'],\n", + " [' outros vegetais',\n", + " ' fruta semente',\n", + " ' vinho branco',\n", + " ' fruta tropical',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' pastas doces'],\n", + " [' água engarrafada',\n", + " ' óleo',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' sorvete',\n", + " ' chocolate',\n", + " ' café',\n", + " ' carne de porco',\n", + " ' sacolas de compras',\n", + " ' sal',\n", + " ' geléia'],\n", + " [' foto/filme',\n", + " ' vinho branco',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' goma de mascar',\n", + " ' açúcar'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' guardanapos',\n", + " ' vasos de plantas',\n", + " ' outros vegetais',\n", + " ' guardanapos',\n", + " ' vegetais de raiz',\n", + " ' detergente',\n", + " ' queijo duro',\n", + " ' Margarina',\n", + " ' chantilly/creme azedo',\n", + " ' chocolate',\n", + " ' açúcar',\n", + " ' queijo especial',\n", + " ' artigos de higiene',\n", + " ' vinho branco'],\n", + " [' uvas', ' rolos/pãezinhos', ' vasos de plantas'],\n", + " [' ovos domésticos',\n", + " ' salsicha orgânica',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' goma de mascar',\n", + " ' pão branco',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' fermento em pó',\n", + " ' pão integral',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes',\n", + " ' óleo',\n", + " ' rolos/pãezinhos',\n", + " 'waffles'],\n", + " [' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' carne de porco',\n", + " ' ervas',\n", + " ' leite inteiro',\n", + " ' bebidas',\n", + " ' vegetais de raiz',\n", + " ' goma de mascar',\n", + " ' Margarina',\n", + " ' carne',\n", + " ' queijo fatiado',\n", + " ' uvas',\n", + " ' molhos',\n", + " ' iogurte',\n", + " ' rum',\n", + " ' água engarrafada',\n", + " ' ovos domésticos'],\n", + " [' fruta tropical',\n", + " ' água engarrafada',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' bebidas',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' pão branco',\n", + " ' Refeições congeladas'],\n", + " [' frango',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' Margarina',\n", + " ' peixe congelado',\n", + " 'waffles',\n", + " ' pão integral'],\n", + " [' salsicha',\n", + " ' carne',\n", + " ' bagas',\n", + " ' sacolas de compras',\n", + " ' peixe enlatado',\n", + " ' fermento em pó',\n", + " ' vegetais congelados'],\n", + " [' bagas',\n", + " ' produtos finalizados',\n", + " ' sobremesa',\n", + " ' Leite condensado',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " 'waffles',\n", + " ' limpador de prato'],\n", + " [' Margarina',\n", + " ' suco de frutas/legumes',\n", + " ' carne',\n", + " ' carne bovina',\n", + " ' rolos/pãezinhos',\n", + " ' massa',\n", + " ' chantilly/creme azedo',\n", + " ' fermento em pó'],\n", + " [' fruta tropical',\n", + " ' manteiga',\n", + " ' carne de porco',\n", + " ' coalhada',\n", + " ' café',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' óleo',\n", + " ' ovos domésticos',\n", + " ' vinho branco',\n", + " ' Requeijão cremoso',\n", + " ' iogurte',\n", + " ' chocolate',\n", + " ' chocolate especial',\n", + " ' barra de especialidade',\n", + " ' vinagre'],\n", + " [' presunto',\n", + " ' café instantâneo',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' fruta/legumes embalados',\n", + " ' leite inteiro',\n", + " ' goma de mascar',\n", + " ' Margarina',\n", + " ' outros vegetais',\n", + " ' barra de especialidade',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo'],\n", + " [' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' goma de mascar',\n", + " ' espalhar queijo',\n", + " ' coalhada'],\n", + " [' iogurte',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' queijo fatiado',\n", + " ' Margarina',\n", + " ' jornais',\n", + " ' pastas doces',\n", + " ' chantilly/creme azedo',\n", + " ' sacolas de compras'],\n", + " [' refrigerante',\n", + " ' nozes/ameixas',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' pão integral',\n", + " ' vegetais de raiz',\n", + " ' cerveja engarrafada',\n", + " ' iogurte',\n", + " ' vinho tinto/blush',\n", + " ' água engarrafada',\n", + " ' artigos de higiene',\n", + " ' jornais',\n", + " ' pão integral'],\n", + " [' iogurte',\n", + " ' carne de porco',\n", + " ' produtos de batata congelada',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' fruta semente',\n", + " ' produtos sanitários femininos',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' Refeições congeladas',\n", + " ' barra de bolo',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' bagas',\n", + " ' vegetais congelados',\n", + " ' suco de frutas/legumes',\n", + " ' cerveja engarrafada'],\n", + " [' refrigerante',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' cebola',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' vegetais enlatados',\n", + " ' Requeijão cremoso',\n", + " ' fruta semente',\n", + " ' artigos de higiene',\n", + " ' guardanapos',\n", + " ' vinho branco',\n", + " ' queijo especial',\n", + " ' Margarina',\n", + " ' pão branco',\n", + " ' chantilly/creme azedo',\n", + " ' massa',\n", + " ' ovos domésticos'],\n", + " [' salsicha',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' sorvete',\n", + " ' frango',\n", + " ' coalhada',\n", + " ' Refeições congeladas',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' vinho tinto/blush',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' café instantâneo',\n", + " ' suco de frutas/legumes',\n", + " ' jornais'],\n", + " [' citrino',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' chocolate',\n", + " ' vegetais congelados',\n", + " ' açúcar',\n", + " ' lanche salgado',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' pastelaria'],\n", + " [' jornais',\n", + " ' salsicha',\n", + " ' foto/filme',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' pão integral',\n", + " ' frango',\n", + " ' bebidas',\n", + " ' outros vegetais',\n", + " ' açúcar',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' ovos domésticos',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' lanche salgado',\n", + " ' legumes em conserva',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' carne',\n", + " ' cerveja em lata',\n", + " ' chantilly/creme azedo',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' doce',\n", + " ' lanche de nozes',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' queijo duro'],\n", + " [' salsicha',\n", + " ' foto/filme',\n", + " ' cerveja engarrafada',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' óleo',\n", + " ' Margarina',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes'],\n", + " [' sal',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' pastelaria',\n", + " ' pão branco',\n", + " ' produtos de rolo',\n", + " ' queijo fatiado'],\n", + " [' óleo',\n", + " ' água engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' produtos de rolo',\n", + " ' Soro de leite coalhado'],\n", + " [' coalhada',\n", + " ' fruta semente',\n", + " ' barra de bolo',\n", + " ' limpador abrasivo',\n", + " ' ketchup'],\n", + " [' outros vegetais',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' cerveja engarrafada',\n", + " ' iogurte'],\n", + " [' citrino',\n", + " ' fruta tropical',\n", + " ' guardanapos',\n", + " ' rolos/pãezinhos',\n", + " ' queijo fatiado',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' marshmallow de chocolate'],\n", + " [' salsicha',\n", + " ' bagas',\n", + " ' água engarrafada',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' Margarina',\n", + " ' chantilly/creme azedo',\n", + " ' produtos sazonais',\n", + " ' barra de bolo',\n", + " ' bagas',\n", + " ' guardanapos',\n", + " ' manteiga',\n", + " ' cerveja engarrafada'],\n", + " [' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' sorvete',\n", + " ' produto de panificação longa vida',\n", + " ' cuidados com a pele',\n", + " ' Margarina'],\n", + " [' carne bovina',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' carne de hamburguer',\n", + " ' citrino',\n", + " ' limpador de prato',\n", + " ' vinho branco',\n", + " ' chocolate',\n", + " ' coalhada',\n", + " ' café',\n", + " ' bebidas',\n", + " ' café',\n", + " ' maionese',\n", + " ' jornais',\n", + " ' fruta semente',\n", + " ' Margarina'],\n", + " [' chantilly/creme azedo', ' leite inteiro', ' óleo'],\n", + " [' vegetais de raiz',\n", + " ' queijo especial',\n", + " ' carne de porco',\n", + " ' pão semi-acabado',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' espalhar queijo',\n", + " ' limpador de prato',\n", + " ' vegetais congelados'],\n", + " [' leite inteiro',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' refrigerante',\n", + " ' queijo fatiado',\n", + " ' refrigerante',\n", + " ' vinho tinto/blush',\n", + " ' bebidas',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados',\n", + " ' sacolas de compras'],\n", + " [' carne bovina', ' espalhar queijo', ' barra de bolo'],\n", + " [' vegetais congelados',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' sal',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' película aderente/sacos',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' licor',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' queijo macio',\n", + " ' pão integral',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' pratos',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' pastas doces'],\n", + " [' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' queijo macio',\n", + " ' chantilly/creme azedo',\n", + " ' xarope',\n", + " ' película aderente/sacos',\n", + " ' suco de frutas/legumes',\n", + " ' fermento em pó',\n", + " ' legumes em conserva'],\n", + " [' leite inteiro',\n", + " ' frango',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' vinho tinto/blush',\n", + " ' leite inteiro',\n", + " ' fermento em pó',\n", + " ' coalhada',\n", + " ' jornais'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' fruta semente',\n", + " ' sacolas de compras',\n", + " ' pão branco',\n", + " ' manteiga',\n", + " ' peixe congelado',\n", + " ' misc. bebidas',\n", + " ' Requeijão cremoso'],\n", + " [' citrino', ' leite inteiro', ' iogurte', ' café', ' café'],\n", + " [' pastelaria', ' conhaque', ' refrigerante'],\n", + " [' salsicha',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' carne de porco',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' ketchup'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' coalhada',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' rolos/pãezinhos'],\n", + " [' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' pão de fígado',\n", + " ' água engarrafada',\n", + " ' bagas',\n", + " 'waffles',\n", + " ' vinagre'],\n", + " [' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' peru',\n", + " ' fruta semente',\n", + " ' água engarrafada'],\n", + " [' iogurte',\n", + " ' salsicha',\n", + " ' ervas',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' Margarina',\n", + " ' artigos de higiene',\n", + " ' queijo macio',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate'],\n", + " [' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' pão integral',\n", + " ' fermento em pó',\n", + " ' vegetais de raiz',\n", + " ' leite UHT',\n", + " ' iogurte',\n", + " ' café',\n", + " ' lanche salgado',\n", + " ' produtos sazonais',\n", + " ' cerveja em lata'],\n", + " [' bagas',\n", + " ' frango',\n", + " ' queijo macio',\n", + " ' carne de porco',\n", + " ' uvas',\n", + " ' citrino',\n", + " ' pão branco',\n", + " ' suco de frutas/legumes',\n", + " ' cebola',\n", + " ' açúcar'],\n", + " [' bagas',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' fruta tropical',\n", + " ' detergente',\n", + " ' leite UHT',\n", + " ' sobremesa',\n", + " ' cerveja engarrafada',\n", + " ' Soro de leite coalhado',\n", + " ' leite UHT',\n", + " ' misc. bebidas',\n", + " ' bagas',\n", + " ' sobremesa',\n", + " ' jornais'],\n", + " [' outros vegetais', ' leite inteiro', ' refrigerante'],\n", + " [' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' peru',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' café',\n", + " ' manteiga',\n", + " ' artigos de higiene',\n", + " ' café',\n", + " ' suco de frutas/legumes',\n", + " ' legumes em conserva',\n", + " ' comida de gato',\n", + " ' ovos domésticos'],\n", + " [' presunto',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' cosméticos masculinos',\n", + " ' detergente',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado',\n", + " ' jornais',\n", + " ' barra de bolo',\n", + " ' guardanapos',\n", + " ' iogurte'],\n", + " [' fruta tropical',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' coalhada',\n", + " ' produtos sazonais',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' vinho branco',\n", + " ' Soro de leite coalhado',\n", + " ' iogurte',\n", + " ' farinha',\n", + " ' vinagre',\n", + " ' ovos domésticos'],\n", + " [' água engarrafada',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' produto de panificação longa vida',\n", + " ' pão integral',\n", + " ' pastelaria',\n", + " ' ovos domésticos'],\n", + " [' Soro de leite coalhado',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' queijo macio',\n", + " ' velas',\n", + " ' peixe congelado',\n", + " ' leite inteiro',\n", + " ' cuidados com a pele',\n", + " ' chocolate',\n", + " ' bagas',\n", + " ' vasos de plantas'],\n", + " [' jornais',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' lanche salgado',\n", + " ' lanche salgado',\n", + " ' vegetais de raiz',\n", + " ' massa',\n", + " ' rum',\n", + " ' rolos/pãezinhos',\n", + " ' bebidas',\n", + " ' lanche salgado',\n", + " ' água engarrafada',\n", + " ' Margarina',\n", + " ' peixe enlatado',\n", + " ' pão integral'],\n", + " [' café',\n", + " ' doce',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' leite UHT'],\n", + " [' cerveja engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' comida de gato',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' petiscos',\n", + " ' manteiga',\n", + " ' guardanapos',\n", + " ' outros vegetais',\n", + " ' foto/filme'],\n", + " [' cebola',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' frango',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' uvas',\n", + " ' pastelaria',\n", + " ' mostarda',\n", + " ' produtos sazonais',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' goma de mascar',\n", + " ' lanche salgado',\n", + " ' cerveja engarrafada',\n", + " ' vegetais congelados',\n", + " ' Margarina'],\n", + " [' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' ovos domésticos',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' pão integral',\n", + " ' chá',\n", + " ' lanche de nozes',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' zwieback',\n", + " ' bebidas',\n", + " ' geléia',\n", + " ' vegetais de raiz',\n", + " ' pratos',\n", + " ' Queijo processado'],\n", + " [' queijo duro',\n", + " ' carne',\n", + " ' cerveja em lata',\n", + " ' refrigerante',\n", + " ' frango',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' peixe',\n", + " ' chantilly/creme azedo',\n", + " ' ovos domésticos',\n", + " ' ovos domésticos',\n", + " ' café',\n", + " ' pão branco',\n", + " ' pão branco'],\n", + " [' salsicha',\n", + " ' molhos',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' vinho tinto/blush',\n", + " ' pão integral',\n", + " 'waffles',\n", + " ' peixe enlatado',\n", + " ' Requeijão cremoso'],\n", + " [' carne de hamburguer',\n", + " ' comida de gato',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' jornais',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' comida de gato',\n", + " ' ovos domésticos'],\n", + " [' cebola', ' Requeijão cremoso', ' fermento em pó'],\n", + " [' café',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' bebidas',\n", + " ' jornais'],\n", + " [' sacolas de compras',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' vinho branco',\n", + " ' suco de frutas/legumes',\n", + " ' Queijo processado',\n", + " ' refrigerante'],\n", + " [' iogurte',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' sobremesa congelada',\n", + " ' leite inteiro',\n", + " ' café',\n", + " ' pão integral',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' sacolas de compras'],\n", + " [' refrigerante',\n", + " 'waffles',\n", + " ' cebola',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' cerveja engarrafada',\n", + " ' refrigerante',\n", + " ' queijo especial',\n", + " ' ovos domésticos',\n", + " ' vegetais congelados',\n", + " ' Refeições congeladas',\n", + " ' Requeijão cremoso',\n", + " ' fermento em pó',\n", + " ' suco de frutas/legumes',\n", + " ' chantilly/creme azedo',\n", + " ' peixe enlatado',\n", + " ' chantilly/creme azedo',\n", + " ' coalhada'],\n", + " [' queijo fatiado',\n", + " ' fruta semente',\n", + " ' Refeições congeladas',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' sobremesa',\n", + " ' pão branco',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo',\n", + " ' chantilly/creme azedo',\n", + " ' Requeijão cremoso',\n", + " ' barra de especialidade',\n", + " ' suco de frutas/legumes',\n", + " ' pastelaria'],\n", + " [' iogurte', ' leite inteiro', ' rolos/pãezinhos', ' refrigerante'],\n", + " [' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' cebola',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' açúcar',\n", + " ' mostarda',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' lanche salgado',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' carne',\n", + " ' vinho branco',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' Soro de leite coalhado',\n", + " ' maionese',\n", + " ' Pipoca'],\n", + " [' carne',\n", + " ' fruta/legumes embalados',\n", + " ' citrino',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' chocolate especial',\n", + " ' sobremesa',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' barra de especialidade',\n", + " ' café'],\n", + " [' limpador de prato',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' manteiga',\n", + " ' queijo duro',\n", + " ' leite inteiro',\n", + " ' chocolate',\n", + " ' vegetais enlatados'],\n", + " [' outros vegetais',\n", + " ' frango',\n", + " ' iogurte',\n", + " ' salsicha orgânica',\n", + " ' sobremesa',\n", + " ' fruta tropical',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' queijo macio'],\n", + " [' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' artigos de higiene',\n", + " ' cerveja engarrafada',\n", + " ' barra de especialidade',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' massa',\n", + " ' peixe enlatado',\n", + " ' chocolate',\n", + " ' suco de frutas/legumes',\n", + " ' sacolas de compras',\n", + " ' sopas',\n", + " ' massa'],\n", + " [' outros vegetais',\n", + " ' cebola',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' salsicha',\n", + " ' peixe enlatado',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' uvas',\n", + " ' outros vegetais'],\n", + " [' fruta tropical',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' carne bovina',\n", + " ' carne',\n", + " ' rolos/pãezinhos',\n", + " 'waffles',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' comida de gato',\n", + " ' pão integral',\n", + " ' coalhada',\n", + " ' pão branco',\n", + " ' sacolas de compras',\n", + " ' Refeições congeladas',\n", + " ' Queijo processado',\n", + " ' pastelaria',\n", + " ' açúcar'],\n", + " [' fermento em pó',\n", + " ' frango',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' peru',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " ' refrigerante',\n", + " ' chocolate',\n", + " ' sacolas de compras'],\n", + " [' barra de especialidade',\n", + " ' água engarrafada',\n", + " ' açúcar',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' coalhada',\n", + " ' pão semi-acabado',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' pão branco',\n", + " ' maionese',\n", + " ' manteiga'],\n", + " [' sorvete',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' café',\n", + " ' carne',\n", + " ' iogurte',\n", + " ' outros vegetais'],\n", + " [' salsicha',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' barra de especialidade',\n", + " ' Requeijão cremoso'],\n", + " [' água engarrafada',\n", + " ' vegetais de raiz',\n", + " ' frango',\n", + " ' citrino',\n", + " ' vegetais congelados',\n", + " ' pratos'],\n", + " [' outros vegetais',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' foto/filme',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' vinho tinto/blush',\n", + " ' vegetais congelados',\n", + " ' Refeições congeladas',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' jornais',\n", + " ' leite UHT',\n", + " ' chocolate especial',\n", + " ' Margarina'],\n", + " [' citrino',\n", + " ' uvas',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' queijo fatiado',\n", + " ' espalhar queijo',\n", + " ' sorvete',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' manteiga',\n", + " ' sorvete',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' vegetais de raiz',\n", + " ' barra de especialidade',\n", + " ' iogurte',\n", + " ' vinho tinto/blush',\n", + " ' suco de frutas/legumes',\n", + " ' especiarias',\n", + " ' coalhada',\n", + " ' chantilly/creme azedo'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' pão branco',\n", + " ' outros vegetais',\n", + " ' Margarina',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' farinha',\n", + " ' iogurte',\n", + " ' sacolas de compras',\n", + " ' farinha',\n", + " ' outros vegetais',\n", + " ' farinha',\n", + " ' produtos sazonais'],\n", + " [' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' Refeições congeladas',\n", + " ' sopas',\n", + " ' iogurte',\n", + " ' leite UHT'],\n", + " [' carne de porco',\n", + " ' salsicha',\n", + " ' velas',\n", + " ' vegetais de raiz',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' rolos/pãezinhos'],\n", + " [' queijo especial',\n", + " ' presunto',\n", + " ' queijo duro',\n", + " ' fruta tropical',\n", + " ' cerveja engarrafada',\n", + " ' sobremesa',\n", + " ' queijo fatiado',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' licor (aperitivo)',\n", + " ' água engarrafada'],\n", + " [' carne de porco',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' vinho tinto/blush',\n", + " ' pão integral',\n", + " ' cerveja engarrafada'],\n", + " [' carne bovina',\n", + " ' cebola',\n", + " ' carne',\n", + " ' vegetais de raiz',\n", + " ' uvas',\n", + " ' coalhada',\n", + " ' leite UHT',\n", + " ' pão branco'],\n", + " [' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' coalhada',\n", + " ' pão semi-acabado',\n", + " ' suco de frutas/legumes'],\n", + " [' frango',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' maionese',\n", + " ' outros vegetais',\n", + " ' carne',\n", + " ' sobremesa congelada',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' produtos de rolo',\n", + " ' café',\n", + " ' guardanapos',\n", + " ' Refeições congeladas',\n", + " ' jornais',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado'],\n", + " [' refrigerante',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' bebidas',\n", + " ' Requeijão cremoso'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' presunto',\n", + " ' vegetais de raiz',\n", + " ' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' açúcar',\n", + " ' zwieback',\n", + " ' açúcar',\n", + " ' Leite condensado',\n", + " ' ovos domésticos',\n", + " ' fruta tropical',\n", + " ' Margarina',\n", + " ' coalhada',\n", + " ' fermento em pó',\n", + " ' ovos domésticos',\n", + " ' farinha',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' limpador de banheiro',\n", + " ' leite inteiro',\n", + " ' cebola',\n", + " ' pastelaria',\n", + " 'waffles',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' Margarina',\n", + " ' açúcar'],\n", + " [' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' carne',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada'],\n", + " [' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' limpador'],\n", + " [' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' peixe enlatado',\n", + " ' sacolas de compras',\n", + " ' cerveja em lata'],\n", + " [' pastelaria',\n", + " ' sorvete',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' pastas de carne',\n", + " ' carne',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' fruta semente',\n", + " ' ovos domésticos',\n", + " ' açúcar',\n", + " ' água engarrafada'],\n", + " [' citrino',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' Leite condensado',\n", + " ' uvas',\n", + " ' refrigerante',\n", + " ' carne de hamburguer',\n", + " ' Margarina'],\n", + " [' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' produtos de rolo',\n", + " ' ovos domésticos',\n", + " ' pastelaria',\n", + " ' mostarda'],\n", + " [' refrigerante', ' pão semi-acabado'],\n", + " [' água engarrafada',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' pão branco',\n", + " ' Soro de leite coalhado'],\n", + " [' fruta tropical',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' artigos de higiene',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' peixe congelado',\n", + " ' comida de gato',\n", + " ' pão branco',\n", + " ' chocolate'],\n", + " [' lanche salgado',\n", + " ' citrino',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' vegetais congelados',\n", + " ' Requeijão cremoso',\n", + " ' jornais',\n", + " ' Sementes de flores)',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' guardanapos'],\n", + " [' água engarrafada',\n", + " ' licor (aperitivo)',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' café instantâneo',\n", + " ' bagas',\n", + " ' chocolate',\n", + " ' vasos de plantas',\n", + " ' fruta/legumes embalados',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' carne de porco',\n", + " ' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' fruta semente',\n", + " ' sacolas de compras',\n", + " ' pão branco',\n", + " ' Sementes de flores)',\n", + " ' cerveja engarrafada',\n", + " ' refrigerante',\n", + " ' pudim em pó',\n", + " ' sacolas de compras',\n", + " ' pão integral'],\n", + " [' chocolate',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' fermento em pó',\n", + " ' vegetais de raiz',\n", + " ' queijo duro',\n", + " ' sacolas de compras',\n", + " ' licor',\n", + " ' sacolas de compras'],\n", + " [' citrino',\n", + " ' salsicha',\n", + " ' bagas',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' jornais',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' bagas',\n", + " ' Sementes de flores)',\n", + " ' outros vegetais'],\n", + " [' água engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' sobremesa',\n", + " ' suco de frutas/legumes',\n", + " ' guardanapos',\n", + " ' rolos/pãezinhos',\n", + " ' Uísque'],\n", + " [' cebola',\n", + " ' carne bovina',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' cebola',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' comida de gato',\n", + " ' leite inteiro',\n", + " ' outros vegetais'],\n", + " [' sobremesa',\n", + " ' carne de porco',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' chá'],\n", + " [' carne bovina',\n", + " ' presunto',\n", + " ' peixe',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' Requeijão cremoso',\n", + " ' cerveja engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' iogurte'],\n", + " [' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' sorvete',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' coalhada',\n", + " ' ervas',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' manteiga',\n", + " ' Margarina'],\n", + " [' carne bovina',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' produtos sazonais',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' pão branco'],\n", + " [' refrigerante',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' Margarina',\n", + " ' fruta semente',\n", + " ' barra de bolo',\n", + " ' cerveja engarrafada',\n", + " ' espalhar queijo',\n", + " ' água engarrafada',\n", + " ' cereais'],\n", + " [' café',\n", + " ' leite inteiro',\n", + " ' presunto',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' Requeijão cremoso',\n", + " ' leite inteiro',\n", + " ' ketchup',\n", + " ' cerveja engarrafada',\n", + " ' fermento em pó',\n", + " ' refrigerante',\n", + " ' goma de mascar'],\n", + " [' rolos/pãezinhos',\n", + " ' zwieback',\n", + " ' misc. bebidas',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " 'waffles',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' iogurte',\n", + " ' cerveja engarrafada',\n", + " ' lanche salgado'],\n", + " [' refrigerante',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' foto/filme',\n", + " ' vegetais de raiz',\n", + " ' barra de especialidade',\n", + " ' peixe congelado',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' sopas',\n", + " ' ovos domésticos',\n", + " ' suco de frutas/legumes',\n", + " ' descalcificante'],\n", + " [' salsicha',\n", + " ' fruta semente',\n", + " ' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' peixe enlatado',\n", + " ' coalhada',\n", + " ' suco de frutas/legumes'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' carne de hamburguer',\n", + " ' sorvete',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' maionese',\n", + " ' goma de mascar',\n", + " ' Pipoca',\n", + " ' vegetais de raiz',\n", + " ' doce',\n", + " ' pão branco',\n", + " ' bebidas',\n", + " ' produtos sazonais',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' pão integral',\n", + " ' água engarrafada',\n", + " 'waffles'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' carne',\n", + " ' sobremesa',\n", + " ' leite UHT',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' lanche de nozes',\n", + " ' água engarrafada'],\n", + " [' carne de porco',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' chantilly/creme azedo'],\n", + " [' bagas', ' pão integral'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' vinho tinto/blush',\n", + " ' pastelaria'],\n", + " [' água engarrafada',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' refrigerante'],\n", + " [' fruta tropical',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' fermento em pó',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' produto de panificação longa vida',\n", + " ' Queijo processado',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' produtos de batata congelada',\n", + " ' chantilly/creme azedo',\n", + " ' chantilly/creme azedo',\n", + " ' barra de especialidade',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' lanches',\n", + " ' açúcar',\n", + " ' rolos/pãezinhos'],\n", + " [' ervas',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' café instantâneo',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' carne bovina',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' Soro de leite coalhado',\n", + " ' sacolas de compras',\n", + " ' Sementes de flores)',\n", + " ' pão integral'],\n", + " [' iogurte',\n", + " ' carne',\n", + " ' Refeições congeladas',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' lanche salgado',\n", + " ' jornais',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' queijo especial',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' rolos/pãezinhos',\n", + " ' açúcar'],\n", + " [' Produtos alimentares instantâneos',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' água engarrafada',\n", + " ' leite UHT',\n", + " ' Margarina',\n", + " ' Requeijão cremoso'],\n", + " [' café',\n", + " ' cerveja em lata',\n", + " ' Refeições congeladas',\n", + " ' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' vasos de plantas',\n", + " ' refrigerante',\n", + " ' guardanapos',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' cerveja em lata',\n", + " ' vegetais de raiz',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais congelados',\n", + " ' vegetais de raiz',\n", + " ' sobremesa',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' café',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' café'],\n", + " [' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' produtos de batata congelada',\n", + " ' refrigerante',\n", + " ' pastas doces',\n", + " ' chocolate',\n", + " ' cerveja engarrafada',\n", + " ' guardanapos',\n", + " ' iogurte',\n", + " ' velas',\n", + " ' produtos sazonais',\n", + " ' espumante',\n", + " ' peixe enlatado'],\n", + " [' carne bovina',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' água engarrafada',\n", + " ' outros vegetais'],\n", + " [' leite inteiro',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' produtos de batata congelada',\n", + " ' queijo duro',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' açúcar',\n", + " ' requeijão',\n", + " ' água engarrafada'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' vinho branco',\n", + " ' carne',\n", + " ' espalhar queijo',\n", + " ' salsicha',\n", + " ' sal',\n", + " ' cerveja engarrafada',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' maionese',\n", + " ' iogurte',\n", + " ' pão semi-acabado',\n", + " ' misc. bebidas',\n", + " 'waffles'],\n", + " [' salsicha',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' artigos de higiene',\n", + " ' bagas',\n", + " ' presunto',\n", + " ' cerveja em lata',\n", + " ' vegetais congelados',\n", + " ' carne de porco',\n", + " ' iogurte',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' queijo macio',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' ervas',\n", + " ' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' marshmallow de chocolate'],\n", + " [' outros vegetais',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' misc. bebidas',\n", + " ' lanche salgado',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' mostarda',\n", + " ' ovos domésticos',\n", + " ' cerveja em lata',\n", + " ' goma de mascar',\n", + " ' ovos domésticos',\n", + " ' queijo fatiado'],\n", + " [' salsicha',\n", + " ' Refeições congeladas',\n", + " ' citrino',\n", + " ' peixe enlatado',\n", + " ' refrigerante',\n", + " ' presunto',\n", + " ' chocolate',\n", + " ' chocolate especial',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' produtos de rolo'],\n", + " [' leite inteiro',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' café',\n", + " ' chocolate especial',\n", + " ' vegetais congelados',\n", + " ' ovos domésticos',\n", + " ' refrigerante',\n", + " ' guardanapos',\n", + " ' lanche salgado'],\n", + " [' salsicha',\n", + " ' fruta/legumes embalados',\n", + " ' manteiga',\n", + " ' chantilly/creme azedo',\n", + " ' lâmpadas',\n", + " ' carne de porco',\n", + " ' produtos de manutenção da casa',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' vegetais congelados',\n", + " ' mostarda',\n", + " ' guardanapos'],\n", + " [' outros vegetais',\n", + " ' carne bovina',\n", + " ' barra de especialidade',\n", + " ' manteiga',\n", + " ' presunto',\n", + " ' outros vegetais'],\n", + " [' água engarrafada',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' leite UHT',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' pão integral'],\n", + " [' outros vegetais',\n", + " ' pão semi-acabado',\n", + " ' ervas',\n", + " ' leite inteiro',\n", + " ' mostarda'],\n", + " [' carne de hamburguer',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' bagas',\n", + " ' salsicha orgânica',\n", + " ' doce',\n", + " ' leite UHT',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' café'],\n", + " [' sacolas de compras',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' peixe enlatado',\n", + " ' Leite condensado',\n", + " ' pastelaria'],\n", + " [' leite inteiro',\n", + " ' citrino',\n", + " ' bebidas',\n", + " ' Margarina',\n", + " ' queijo duro',\n", + " ' carne bovina',\n", + " ' fruta/legumes embalados',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' cerveja engarrafada'],\n", + " [' sorvete',\n", + " ' citrino',\n", + " ' produtos finalizados',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' vegetais de raiz'],\n", + " [' pastelaria',\n", + " ' salsicha',\n", + " ' produtos sazonais',\n", + " ' uvas',\n", + " ' vegetais de raiz',\n", + " ' vinho branco',\n", + " ' pastelaria',\n", + " ' pão integral',\n", + " ' cerveja em lata'],\n", + " [' presunto', ' barra de especialidade'],\n", + " [' salsicha',\n", + " ' produtos finalizados',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' vinho branco',\n", + " ' misc. bebidas',\n", + " ' marshmallow de chocolate',\n", + " ' ervas',\n", + " ' café',\n", + " ' pão branco',\n", + " ' bebidas',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' refrigerante'],\n", + " [' salsicha',\n", + " ' jornais',\n", + " ' cerveja em lata',\n", + " ' ervas',\n", + " ' detergente',\n", + " ' pão branco',\n", + " ' cosméticos masculinos',\n", + " ' chocolate'],\n", + " [' cerveja engarrafada', ' iogurte'],\n", + " [' água engarrafada',\n", + " ' café',\n", + " ' iogurte',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' pão integral',\n", + " ' Fruta enlatada'],\n", + " [' carne', ' outros vegetais'],\n", + " [' sobremesa',\n", + " ' lanche salgado',\n", + " ' rolos/pãezinhos',\n", + " ' misc. bebidas',\n", + " ' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' água engarrafada',\n", + " ' descalcificante',\n", + " ' pão semi-acabado',\n", + " ' refrigerante'],\n", + " [' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' coalhada',\n", + " ' vegetais congelados',\n", + " ' coalhada',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' pão branco'],\n", + " [' presunto',\n", + " ' água engarrafada',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' chantilly/creme azedo',\n", + " ' chocolate especial',\n", + " ' doce',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' goma de mascar',\n", + " ' ovos domésticos',\n", + " ' Soro de leite coalhado',\n", + " ' café'],\n", + " [' barra de especialidade',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' Requeijão cremoso',\n", + " ' carne bovina',\n", + " ' fruta semente',\n", + " ' leite UHT',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' ervas',\n", + " ' pão branco',\n", + " ' pão semi-acabado',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado',\n", + " ' sacolas de compras',\n", + " ' legumes em conserva',\n", + " ' rolos/pãezinhos',\n", + " ' Refeições congeladas',\n", + " ' conhaque',\n", + " ' legumes em conserva'],\n", + " [' pão integral',\n", + " ' chantilly/creme azedo',\n", + " ' Leite condensado',\n", + " ' produtos finalizados',\n", + " ' salsicha',\n", + " ' carne',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' Queijo processado',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' produtos de rolo',\n", + " 'waffles'],\n", + " [' leite inteiro',\n", + " ' pastelaria',\n", + " ' salsicha',\n", + " ' fruta/legumes embalados',\n", + " ' sacolas de compras',\n", + " ' vegetais de raiz',\n", + " ' cebola',\n", + " ' pastas doces'],\n", + " [' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' frango',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' iogurte'],\n", + " [' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' café',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' leite UHT',\n", + " ' pastelaria',\n", + " ' sorvete',\n", + " ' óleo',\n", + " ' Produtos alimentares instantâneos',\n", + " ' barra de bolo'],\n", + " [' clínica de cuidado de animais domésticos',\n", + " ' frango',\n", + " ' rolos/pãezinhos',\n", + " ' café',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' limpador de prato',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' artigos de higiene',\n", + " ' fermento em pó',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' coalhada'],\n", + " [' citrino', ' chantilly/creme azedo'],\n", + " [' carne de porco', ' citrino', ' uvas', ' fruta semente'],\n", + " [' vinho branco',\n", + " ' carne',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' pratos',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos'],\n", + " [' fruta semente',\n", + " ' café',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' petiscos',\n", + " ' iogurte',\n", + " ' barra de bolo',\n", + " ' barra de bolo',\n", + " ' iogurte',\n", + " ' produtos sanitários femininos',\n", + " ' chocolate',\n", + " ' refrigerante'],\n", + " [' açúcar',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' citrino',\n", + " ' carne de hamburguer',\n", + " ' peixe enlatado',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' detergente',\n", + " ' fermento em pó',\n", + " ' iogurte',\n", + " ' legumes em conserva',\n", + " ' legumes em conserva',\n", + " ' legumes em conserva',\n", + " ' manteiga',\n", + " ' comida de gato',\n", + " ' pão integral',\n", + " ' água engarrafada',\n", + " ' vasos de plantas'],\n", + " [' fruta tropical',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' arroz'],\n", + " [' vegetais de raiz',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' queijo duro',\n", + " ' pão branco'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' Soro de leite coalhado',\n", + " ' leite UHT',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' sal',\n", + " ' leite inteiro',\n", + " ' queijo especial',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " 'waffles'],\n", + " [' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' pão integral',\n", + " ' vegetais de raiz',\n", + " ' suco de frutas/legumes',\n", + " ' carne',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' licor (aperitivo)',\n", + " ' refrigerante',\n", + " ' queijo especial',\n", + " ' detergente',\n", + " ' fruta semente',\n", + " ' sobremesa',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' lanches'],\n", + " [' pão branco',\n", + " ' chocolate',\n", + " ' iogurte',\n", + " ' frango',\n", + " ' guardanapos',\n", + " ' fruta tropical',\n", + " ' ervas',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' comida de gato',\n", + " ' farinha',\n", + " ' chocolate',\n", + " ' detergente',\n", + " ' pão branco'],\n", + " [' pão integral',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' iogurte',\n", + " ' coalhada',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' Soro de leite coalhado',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' ervas'],\n", + " [' fruta tropical',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' presunto',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' queijo duro',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' queijo duro',\n", + " ' peixe congelado',\n", + " ' sacolas de compras',\n", + " ' vasos de plantas',\n", + " ' vegetais de raiz'],\n", + " [' ovos domésticos',\n", + " ' salsicha',\n", + " ' carne',\n", + " ' água engarrafada',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' pão integral',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' sacolas de compras',\n", + " ' detergente',\n", + " ' Margarina',\n", + " 'waffles',\n", + " ' barra de especialidade'],\n", + " [' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' fruta tropical',\n", + " ' carne de porco',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes'],\n", + " [' leite inteiro',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' licor (aperitivo)',\n", + " ' frango',\n", + " ' fruta tropical',\n", + " ' leite inteiro'],\n", + " [' cerveja engarrafada',\n", + " ' peixe',\n", + " ' presunto',\n", + " ' frango',\n", + " ' frango',\n", + " ' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' carne de hamburguer',\n", + " ' leite UHT',\n", + " ' vegetais enlatados',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' jornais',\n", + " ' café',\n", + " ' vegetais de raiz',\n", + " ' queijo duro'],\n", + " [' carne de porco',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' carne de porco',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' refrigerante'],\n", + " [' outros vegetais',\n", + " ' Leite condensado',\n", + " ' fruta tropical',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' carne bovina',\n", + " ' coalhada',\n", + " ' Queijo processado',\n", + " ' peru',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado',\n", + " ' doce'],\n", + " [' iogurte', ' chocolate'],\n", + " [' espumante',\n", + " ' água engarrafada',\n", + " ' flor solo/fertilizante',\n", + " ' carne de porco',\n", + " ' carne bovina',\n", + " ' cerveja em lata',\n", + " ' sobremesa congelada',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' misc. bebidas',\n", + " ' produtos de rolo',\n", + " ' vegetais de raiz'],\n", + " [' citrino',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' guardanapos',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' barra de especialidade',\n", + " ' especiarias',\n", + " ' Refeições congeladas'],\n", + " [' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' citrino',\n", + " ' frango',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' vegetais de raiz'],\n", + " [' fruta/legumes embalados',\n", + " ' Soro de leite coalhado',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' bebidas',\n", + " ' fruta semente',\n", + " ' requeijão',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' chantilly/creme azedo',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' manteiga',\n", + " ' açúcar'],\n", + " [' outros vegetais',\n", + " ' carne bovina',\n", + " ' pão branco',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' marshmallow de chocolate',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' café instantâneo',\n", + " ' Margarina'],\n", + " [' refrigerante',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' jornais',\n", + " ' queijo duro',\n", + " ' peru',\n", + " ' sobremesa',\n", + " ' chantilly/creme azedo',\n", + " ' café'],\n", + " [' leite inteiro',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' produtos de manutenção da casa',\n", + " ' conhaque',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' iogurte'],\n", + " [' ervas',\n", + " ' outros vegetais',\n", + " ' carne',\n", + " ' cebola',\n", + " ' fruta/legumes embalados',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' comida de gato'],\n", + " [' citrino',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' sorvete',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' fruta semente',\n", + " ' carne bovina',\n", + " ' manteiga',\n", + " ' chantilly/creme azedo'],\n", + " [' misc. bebidas',\n", + " ' suco de frutas/legumes',\n", + " ' pão semi-acabado',\n", + " ' café instantâneo',\n", + " ' Sementes de flores)',\n", + " ' ketchup',\n", + " ' óleo',\n", + " ' detergente',\n", + " ' sacolas de compras',\n", + " ' doce'],\n", + " [' produtos sanitários femininos',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' pastelaria',\n", + " ' coalhada',\n", + " ' chantilly/creme azedo',\n", + " ' vegetais congelados',\n", + " ' manteiga',\n", + " ' ovos domésticos'],\n", + " [' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' goma de mascar',\n", + " ' carne bovina',\n", + " ' chocolate',\n", + " ' cerveja engarrafada'],\n", + " [' fruta tropical',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' carne de porco',\n", + " ' maionese',\n", + " ' coalhada',\n", + " ' queijo macio'],\n", + " [' pão branco',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' Pipoca',\n", + " ' queijo fatiado',\n", + " ' ovos domésticos',\n", + " ' chantilly/creme azedo',\n", + " ' café instantâneo',\n", + " ' pratos',\n", + " ' espumante',\n", + " ' amaciante'],\n", + " [' café',\n", + " ' citrino',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' fruta semente'],\n", + " [' fruta tropical',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' Refeições congeladas',\n", + " ' refrigerante',\n", + " ' artigos de higiene',\n", + " ' rolos/pãezinhos'],\n", + " [' carne de porco',\n", + " ' sobremesa',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' chocolate especial'],\n", + " [' citrino',\n", + " ' vasos de plantas',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada'],\n", + " [' salsicha',\n", + " ' presunto',\n", + " ' chocolate',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' sorvete',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' goma de mascar',\n", + " ' gordura especial',\n", + " ' chantilly/creme azedo',\n", + " ' açúcar',\n", + " ' vinho tinto/blush',\n", + " ' cerveja engarrafada'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' cerveja em lata',\n", + " ' pastelaria',\n", + " ' bebidas',\n", + " ' marshmallow de chocolate',\n", + " ' pão integral',\n", + " ' sacolas de compras',\n", + " ' carne',\n", + " ' cebola',\n", + " ' ervas',\n", + " ' sobremesa congelada',\n", + " ' comida de gato',\n", + " ' farinha',\n", + " ' pastelaria',\n", + " ' refrigerante'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' foto/filme',\n", + " ' leite UHT',\n", + " ' velas',\n", + " ' sacolas de compras',\n", + " ' água engarrafada',\n", + " ' vegetais congelados',\n", + " ' cerveja engarrafada',\n", + " ' goma de mascar',\n", + " ' uvas',\n", + " ' cerveja engarrafada',\n", + " ' artif. adoçante',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' Margarina',\n", + " ' suco de frutas/legumes',\n", + " ' manteiga',\n", + " ' produtos sazonais'],\n", + " [' outros vegetais',\n", + " ' água engarrafada',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' cerveja engarrafada'],\n", + " [' iogurte',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' Margarina',\n", + " ' licor',\n", + " ' iogurte',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados',\n", + " ' leite UHT',\n", + " ' água engarrafada',\n", + " ' leite UHT',\n", + " ' café',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' fermento em pó',\n", + " ' carne bovina',\n", + " ' fermento em pó',\n", + " ' mostarda'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' ovos domésticos',\n", + " ' sacolas de compras',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' cebola',\n", + " ' misc. bebidas'],\n", + " [' fruta semente',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' pão integral',\n", + " ' mostarda',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' artigos de higiene',\n", + " ' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' queijo macio',\n", + " ' legumes em conserva'],\n", + " [' cebola',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' vinho branco',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' queijo especial',\n", + " ' iogurte'],\n", + " [' chocolate especial',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' guardanapos'],\n", + " [' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' carne de porco',\n", + " ' café',\n", + " ' fruta tropical',\n", + " ' chocolate'],\n", + " [' foto/filme',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' Refeições congeladas',\n", + " ' manteiga',\n", + " ' comida de gato',\n", + " ' coalhada',\n", + " ' manteiga',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' pão branco'],\n", + " [' rolos/pãezinhos',\n", + " ' carne de porco',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' peixe enlatado'],\n", + " [' cerveja em lata',\n", + " ' salsicha',\n", + " ' sorvete',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' iogurte'],\n", + " [' outros vegetais',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' vegetais congelados',\n", + " ' vinho tinto/blush',\n", + " ' leite inteiro'],\n", + " [' cerveja em lata', ' cerveja em lata'],\n", + " [' coalhada',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' Leite condensado',\n", + " ' coalhada',\n", + " ' fruta tropical',\n", + " ' Leite condensado',\n", + " ' fruta semente',\n", + " ' manteiga',\n", + " 'waffles',\n", + " ' óleo'],\n", + " [' manteiga',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' Pipoca',\n", + " ' ervas',\n", + " ' Margarina',\n", + " ' mostarda',\n", + " ' ovos domésticos',\n", + " ' coalhada'],\n", + " [' outros vegetais',\n", + " ' frango',\n", + " ' cerveja em lata',\n", + " ' Requeijão cremoso',\n", + " ' creme',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' açúcar',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' uvas',\n", + " ' vinho branco'],\n", + " [' leite inteiro',\n", + " ' frango',\n", + " ' citrino',\n", + " ' Requeijão cremoso',\n", + " ' leite inteiro',\n", + " ' pastas de carne',\n", + " ' cebola',\n", + " ' cereais',\n", + " ' Margarina',\n", + " ' vegetais de raiz',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " 'waffles',\n", + " ' goma de mascar',\n", + " ' sacolas de compras',\n", + " ' guardanapos'],\n", + " [' carne bovina',\n", + " ' carne de porco',\n", + " ' carne de porco',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' leite UHT',\n", + " ' arroz'],\n", + " [' refrigerante',\n", + " ' bebidas',\n", + " ' manteiga',\n", + " ' Soro de leite coalhado',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' sobremesa congelada',\n", + " ' vinho tinto/blush',\n", + " ' cebola',\n", + " ' leite inteiro'],\n", + " [' suco de frutas/legumes',\n", + " ' citrino',\n", + " ' sacolas de compras',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' manteiga',\n", + " ' queijo duro',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte'],\n", + " [' rolos/pãezinhos', ' bebidas', ' frango', ' leite inteiro'],\n", + " [' fruta semente',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' chocolate especial',\n", + " ' zwieback',\n", + " ' iogurte',\n", + " ' farinha',\n", + " ' iogurte',\n", + " ' legumes em conserva',\n", + " ' queijo duro',\n", + " ' massa',\n", + " ' pastelaria'],\n", + " [' vegetais congelados',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' massa',\n", + " ' bagas',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' frango',\n", + " ' fruta semente',\n", + " ' cosméticos masculinos',\n", + " ' fruta tropical',\n", + " ' queijo duro',\n", + " ' sacolas de compras',\n", + " ' queijo fatiado',\n", + " ' pratos'],\n", + " [' carne de hamburguer',\n", + " ' salsicha',\n", + " ' produtos finalizados',\n", + " ' Margarina',\n", + " ' outros vegetais',\n", + " ' Pipoca'],\n", + " [' vegetais de raiz',\n", + " ' geléia',\n", + " ' bebidas',\n", + " ' cerveja em lata',\n", + " ' carne',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' pão integral',\n", + " ' iogurte'],\n", + " [' vegetais congelados',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' guardanapos',\n", + " ' Requeijão cremoso',\n", + " ' sobremesa',\n", + " ' outros vegetais'],\n", + " [' cerveja em lata',\n", + " ' fruta semente',\n", + " ' salsicha orgânica',\n", + " ' misc. bebidas',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' farinha',\n", + " ' rolos/pãezinhos'],\n", + " [' jornais',\n", + " ' refrigerante',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' Queijo processado',\n", + " ' produtos de rolo',\n", + " ' refrigerante',\n", + " ' coalhada'],\n", + " [' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' sacolas de compras',\n", + " ' cereais',\n", + " ' carne de porco',\n", + " ' frango',\n", + " ' produto de panificação longa vida',\n", + " ' fruta semente',\n", + " ' doce',\n", + " ' gordura especial',\n", + " ' lanche salgado',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' vegetais de raiz',\n", + " ' guardanapos',\n", + " ' produtos de manutenção da casa'],\n", + " [' carne de hamburguer',\n", + " ' salsicha',\n", + " ' cerveja em lata',\n", + " ' bagas',\n", + " ' chocolate especial',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' pão integral',\n", + " ' pudim em pó',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' água engarrafada',\n", + " ' Queijo processado',\n", + " ' velas',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' refrigerante'],\n", + " [' cerveja em lata',\n", + " ' carne de hamburguer',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' sabão',\n", + " ' citrino',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' espalhar queijo',\n", + " ' chantilly/creme azedo',\n", + " ' doce'],\n", + " [' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' fruta semente',\n", + " ' carne',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' licor (aperitivo)',\n", + " ' café',\n", + " ' jornais',\n", + " 'waffles',\n", + " ' chantilly/creme azedo',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes'],\n", + " [' citrino',\n", + " ' presunto',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' guardanapos',\n", + " ' jornais',\n", + " ' suco de frutas/legumes'],\n", + " [' película aderente/sacos',\n", + " ' água engarrafada',\n", + " ' carne',\n", + " ' pão de fígado',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' carne bovina',\n", + " ' carne bovina',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' pão branco',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' uvas',\n", + " ' bagas',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' pastelaria',\n", + " ' chantilly/creme azedo',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' chocolate especial',\n", + " ' carne bovina',\n", + " ' carne bovina',\n", + " ' peru',\n", + " ' citrino',\n", + " ' peru',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' vegetais de raiz',\n", + " ' pão integral',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' sacolas de compras',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' Leite condensado',\n", + " ' lanche salgado',\n", + " ' iogurte',\n", + " ' queijo fatiado',\n", + " ' água engarrafada',\n", + " ' cuidado dental'],\n", + " [' leite inteiro',\n", + " ' chocolate',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' ervas',\n", + " ' refrigerante',\n", + " ' Produtos alimentares instantâneos',\n", + " ' chocolate',\n", + " ' refrigerante'],\n", + " [' frango',\n", + " ' pão branco',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' requeijão',\n", + " ' coalhada',\n", + " ' farinha',\n", + " ' refrigerante',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' salsicha',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' massa',\n", + " ' iogurte',\n", + " ' prosecco',\n", + " ' fruta semente'],\n", + " [' barra de especialidade', ' carne', ' coalhada', ' chantilly/creme azedo'],\n", + " [' chantilly/creme azedo',\n", + " ' frango congelado',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' café',\n", + " ' Margarina'],\n", + " [' vegetais de raiz',\n", + " ' carne de porco',\n", + " ' salsicha',\n", + " ' produtos finalizados',\n", + " ' cerveja em lata',\n", + " ' carne de hamburguer',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' lanche salgado',\n", + " ' fruta/legumes embalados',\n", + " ' chantilly/creme azedo',\n", + " ' coalhada',\n", + " ' pastas doces',\n", + " ' leite inteiro',\n", + " ' pão branco'],\n", + " [' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' pão de fígado',\n", + " ' massa',\n", + " ' cerveja em lata',\n", + " ' vegetais de raiz',\n", + " ' Requeijão cremoso',\n", + " ' suco de frutas/legumes',\n", + " ' uvas',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' Sementes de flores)',\n", + " ' suco de frutas/legumes'],\n", + " [' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' vegetais congelados'],\n", + " [' citrino', ' peixe enlatado', ' presunto', ' sorvete'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' carne',\n", + " ' vasos de plantas',\n", + " ' iogurte',\n", + " 'waffles',\n", + " ' barra de bolo',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' uvas',\n", + " ' presunto',\n", + " ' jornais',\n", + " ' chocolate especial',\n", + " ' manteiga',\n", + " ' pão integral',\n", + " ' zwieback',\n", + " ' vinho tinto/blush',\n", + " ' cerveja em lata',\n", + " ' ovos domésticos'],\n", + " [' café',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' presunto',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' peru',\n", + " ' pastelaria',\n", + " ' massa',\n", + " ' refrigerante'],\n", + " [' presunto', ' cebola', ' ovos domésticos', ' jornais', ' jornais'],\n", + " [' cerveja em lata',\n", + " ' manteiga',\n", + " ' carne de hamburguer',\n", + " ' salsicha',\n", + " 'waffles',\n", + " ' rolos/pãezinhos',\n", + " ' bebidas',\n", + " ' sobremesa',\n", + " ' manteiga',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' nozes/ameixas',\n", + " ' coalhada',\n", + " ' chantilly/creme azedo',\n", + " ' cerveja em lata',\n", + " ' Leite condensado',\n", + " ' descalcificante',\n", + " ' pastas de carne',\n", + " ' café',\n", + " ' pão semi-acabado'],\n", + " [' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' pão semi-acabado',\n", + " ' carne de hamburguer',\n", + " ' Leite condensado',\n", + " ' queijo duro',\n", + " ' sorvete',\n", + " ' pastelaria',\n", + " ' pastelaria',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' cerveja em lata',\n", + " ' chocolate especial',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' misc. bebidas',\n", + " ' cebola',\n", + " ' cerveja engarrafada',\n", + " ' citrino',\n", + " ' doce',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' barra de especialidade',\n", + " ' pão integral',\n", + " ' chocolate especial'],\n", + " [' fruta semente',\n", + " ' cerveja em lata',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' presunto',\n", + " ' citrino',\n", + " ' amaciante',\n", + " ' bagas',\n", + " ' café instantâneo',\n", + " ' outros vegetais',\n", + " ' café',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' limpador de prato',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' água engarrafada'],\n", + " [' fruta semente',\n", + " ' carne de porco',\n", + " ' comida de gato',\n", + " ' vasos de plantas',\n", + " ' salsicha',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' lanche salgado',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' vegetais de raiz',\n", + " ' ketchup',\n", + " ' chocolate especial',\n", + " ' Requeijão cremoso'],\n", + " [' carne bovina',\n", + " ' suco de frutas/legumes',\n", + " ' carne de hamburguer',\n", + " ' especiarias'],\n", + " [' salsicha',\n", + " ' manteiga',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' fruta/legumes embalados',\n", + " ' chocolate especial',\n", + " ' frango',\n", + " ' goma de mascar',\n", + " ' peru',\n", + " ' goma de mascar',\n", + " ' Produtos alimentares instantâneos',\n", + " ' queijo especial',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' Pipoca',\n", + " ' Margarina',\n", + " ' Margarina',\n", + " ' sopas',\n", + " ' pão branco'],\n", + " [' frango congelado',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' vinho branco',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate especial'],\n", + " [' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' produtos sazonais',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' leite inteiro',\n", + " ' Margarina'],\n", + " [' fruta tropical',\n", + " ' salsicha',\n", + " ' fruta/legumes embalados',\n", + " ' vegetais enlatados',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' massa',\n", + " ' pudim em pó',\n", + " ' massa',\n", + " ' coalhada',\n", + " ' iogurte',\n", + " ' sacolas de compras',\n", + " ' café',\n", + " ' pudim em pó'],\n", + " [' outros vegetais',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' álcool isopropílico',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' chocolate especial',\n", + " ' doce'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' pão semi-acabado',\n", + " ' iogurte',\n", + " ' cebola',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' licor',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' pastelaria'],\n", + " [' carne',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' vinho tinto/blush',\n", + " ' carne',\n", + " ' rolos/pãezinhos',\n", + " ' leite UHT',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' ovos domésticos',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' iogurte'],\n", + " [' carne',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' carne de hamburguer',\n", + " ' café',\n", + " ' lanche salgado',\n", + " ' óleo',\n", + " ' fruta/legumes embalados',\n", + " ' água engarrafada',\n", + " ' vegetais congelados',\n", + " ' iogurte'],\n", + " [' água engarrafada',\n", + " ' pão integral',\n", + " ' frango',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' bagas',\n", + " ' leite UHT',\n", + " ' fruta tropical',\n", + " ' sorvete',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' sacolas de compras',\n", + " ' bebidas',\n", + " ' vinho tinto/blush',\n", + " ' suco de frutas/legumes'],\n", + " [' rolos/pãezinhos',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' fruta tropical',\n", + " ' guardanapos',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' rum',\n", + " ' carne de porco',\n", + " ' fermento em pó',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' bebidas',\n", + " ' vegetais congelados',\n", + " ' pão integral'],\n", + " [' carne de porco',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' manteiga',\n", + " ' Margarina',\n", + " ' iogurte'],\n", + " [' fruta semente',\n", + " ' sorvete',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' carne',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' óleo',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' artigos de higiene',\n", + " ' fruta semente',\n", + " ' fermento em pó',\n", + " ' queijo especial',\n", + " ' pão integral',\n", + " ' sorvete',\n", + " ' vasos de plantas',\n", + " ' refrigerante'],\n", + " [' carne bovina', ' citrino', ' ervas', ' chantilly/creme azedo'],\n", + " [' carne bovina',\n", + " ' carne de porco',\n", + " ' produtos sazonais',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' guardanapos',\n", + " ' óleo',\n", + " ' produtos sazonais',\n", + " ' refrigerante',\n", + " ' ovos domésticos',\n", + " ' licor (aperitivo)',\n", + " ' café',\n", + " ' utensílios de cozinha',\n", + " ' produto de panificação longa vida',\n", + " ' massa'],\n", + " [' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' óleo',\n", + " ' mostarda',\n", + " ' misc. bebidas',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' cerveja engarrafada'],\n", + " [' citrino',\n", + " ' chantilly/creme azedo',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' lanche salgado',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " 'waffles',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' farinha',\n", + " ' pão branco',\n", + " ' Refeições congeladas',\n", + " ' doce',\n", + " ' velas',\n", + " ' suco de frutas/legumes'],\n", + " [' carne',\n", + " ' iogurte',\n", + " ' artigos de higiene',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' jornais',\n", + " ' Requeijão cremoso',\n", + " ' massa'],\n", + " [' bebidas',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' Soro de leite coalhado',\n", + " ' sobremesa',\n", + " ' produtos finalizados',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' flor solo/fertilizante',\n", + " ' legumes em conserva',\n", + " ' vegetais de raiz',\n", + " ' manteiga',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' suco de frutas/legumes',\n", + " ' Soro de leite coalhado',\n", + " ' produto de panificação longa vida',\n", + " ' pão branco'],\n", + " [' presunto',\n", + " ' salsicha',\n", + " ' carne',\n", + " ' carne',\n", + " ' iogurte',\n", + " ' marshmallow de chocolate',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' película aderente/sacos',\n", + " ' pão integral',\n", + " ' queijo macio'],\n", + " [' carne de hamburguer', ' fruta tropical', ' refrigerante', ' licor'],\n", + " [' carne bovina',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' peixe enlatado'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte',\n", + " ' frango',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' fruta semente',\n", + " ' molho de salada'],\n", + " [' vegetais de raiz',\n", + " ' jornais',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' produtos de batata congelada',\n", + " ' bagas',\n", + " ' pratos',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' jornais',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' limpador de prato',\n", + " ' produtos de rolo',\n", + " ' produto de panificação longa vida'],\n", + " [' citrino',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' presunto',\n", + " ' cerveja em lata',\n", + " ' sobremesa congelada',\n", + " ' leite inteiro',\n", + " ' cebola'],\n", + " [' iogurte',\n", + " ' vegetais de raiz',\n", + " ' sacolas de compras',\n", + " ' presunto',\n", + " ' vinho branco',\n", + " ' ovos domésticos'],\n", + " [' fruta tropical',\n", + " ' fruta semente',\n", + " ' goma de mascar',\n", + " ' bagas',\n", + " ' carne de hamburguer',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' outros vegetais',\n", + " ' café',\n", + " ' leite inteiro'],\n", + " [' salsicha',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' bagas',\n", + " ' barra de especialidade',\n", + " ' lanche salgado',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' artigos de higiene'],\n", + " [' sacolas de compras', ' iogurte'],\n", + " [' cerveja em lata',\n", + " ' cerveja engarrafada',\n", + " ' peixe',\n", + " ' citrino',\n", + " ' presunto',\n", + " ' produtos de batata congelada',\n", + " ' vegetais de raiz',\n", + " ' suco de frutas/legumes',\n", + " ' açúcar',\n", + " ' molhos'],\n", + " [' rolos/pãezinhos',\n", + " ' detergente',\n", + " ' bagas',\n", + " ' manteiga',\n", + " ' bagas',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' lanche salgado',\n", + " ' carne bovina',\n", + " ' jornais',\n", + " ' peixe congelado'],\n", + " [' outros vegetais',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' pão branco',\n", + " ' fruta tropical',\n", + " ' leite UHT',\n", + " ' Soro de leite coalhado',\n", + " ' Margarina',\n", + " ' pão branco',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' pão integral'],\n", + " [' carne de hamburguer',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' iogurte',\n", + " ' bagas',\n", + " ' bebidas',\n", + " ' água engarrafada'],\n", + " [' carne de hamburguer',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' licor',\n", + " ' Requeijão cremoso',\n", + " ' leite inteiro',\n", + " ' artif. adoçante'],\n", + " [' cerveja engarrafada',\n", + " ' carne de hamburguer',\n", + " ' nozes/ameixas',\n", + " ' bebidas',\n", + " ' espalhar queijo',\n", + " ' Margarina',\n", + " ' massa'],\n", + " [' fruta tropical',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' carne de hamburguer',\n", + " ' jornais',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' licor',\n", + " ' Leite condensado',\n", + " ' café instantâneo',\n", + " ' iogurte',\n", + " ' ovos domésticos',\n", + " ' detergente',\n", + " ' farinha',\n", + " ' fruta tropical'],\n", + " [' refrigerante',\n", + " ' iogurte',\n", + " ' café',\n", + " ' produtos sanitários femininos',\n", + " ' citrino',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' Pipoca',\n", + " ' produto de panificação longa vida',\n", + " ' produto de panificação longa vida'],\n", + " [' salsicha',\n", + " ' carne bovina',\n", + " ' vinho tinto/blush',\n", + " ' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' sobremesa',\n", + " ' peixe congelado',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' rum'],\n", + " [' frango',\n", + " ' carne de porco',\n", + " ' Queijo processado',\n", + " ' carne bovina',\n", + " ' vinho branco',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' fruta/legumes embalados',\n", + " ' queijo fatiado',\n", + " ' bebidas'],\n", + " [' café',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' doce',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' sacolas de compras',\n", + " ' fruta semente',\n", + " ' cerveja engarrafada'],\n", + " [' Margarina',\n", + " ' ovos domésticos',\n", + " ' suco de frutas/legumes',\n", + " ' ovos domésticos'],\n", + " [' fruta tropical',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' pão de fígado',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' frango',\n", + " ' produto de panificação longa vida',\n", + " ' Margarina',\n", + " ' pão branco',\n", + " ' espalhar queijo',\n", + " ' comida de gato'],\n", + " [' carne',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' sacolas de compras',\n", + " ' outros vegetais',\n", + " ' pão branco',\n", + " ' coalhada',\n", + " ' sacolas de compras'],\n", + " [' Requeijão cremoso',\n", + " ' pastelaria',\n", + " ' sobremesa',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' cebola',\n", + " ' cozinhar chocolate',\n", + " ' sacolas de compras'],\n", + " [' jornais',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' ovos domésticos',\n", + " ' chocolate',\n", + " ' água engarrafada'],\n", + " [' rolos/pãezinhos',\n", + " ' carne',\n", + " ' carne de hamburguer',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' xarope',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' legumes em conserva',\n", + " ' artigos de higiene',\n", + " ' sacolas de compras',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' artigos de higiene',\n", + " ' Margarina',\n", + " ' pão integral',\n", + " ' jornais'],\n", + " [' citrino',\n", + " ' vegetais enlatados',\n", + " ' cebola',\n", + " ' licor (aperitivo)',\n", + " ' fruta semente',\n", + " ' frango',\n", + " ' Margarina',\n", + " ' artigos de higiene',\n", + " ' rolos/pãezinhos',\n", + " ' pastas doces'],\n", + " [' leite inteiro',\n", + " ' bebidas',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' uvas',\n", + " ' leite UHT',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' cebola',\n", + " ' comida de cão',\n", + " ' Requeijão cremoso',\n", + " ' fruta semente',\n", + " ' café',\n", + " ' pastelaria'],\n", + " [' presunto',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' vinho tinto/blush',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' farinha',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' coalhada',\n", + " ' rolos/pãezinhos'],\n", + " [' salsicha',\n", + " ' conhaque',\n", + " ' cebola',\n", + " ' cerveja em lata',\n", + " ' peixe enlatado',\n", + " ' presunto',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' chocolate',\n", + " ' artif. adoçante'],\n", + " [' salsicha',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' rum',\n", + " ' suco de frutas/legumes',\n", + " ' barra de especialidade'],\n", + " [' ovos domésticos',\n", + " ' carne de porco',\n", + " ' carne de hamburguer',\n", + " ' carne de porco',\n", + " ' bebidas',\n", + " ' pastelaria',\n", + " ' queijo macio',\n", + " ' carne de hamburguer',\n", + " ' chantilly/creme azedo',\n", + " ' carne bovina',\n", + " ' peixe congelado',\n", + " ' queijo duro',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' goma de mascar',\n", + " ' Soro de leite coalhado',\n", + " ' cerveja em lata',\n", + " ' óleo',\n", + " ' chocolate especial',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' guardanapos'],\n", + " [' leite inteiro',\n", + " ' carne',\n", + " ' carne bovina',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' fermento em pó',\n", + " ' iogurte'],\n", + " [' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' fruta/legumes embalados'],\n", + " [' leite inteiro',\n", + " ' produtos finalizados',\n", + " ' manteiga',\n", + " ' queijo macio',\n", + " ' licor',\n", + " ' sacolas de compras'],\n", + " [' coalhada',\n", + " ' carne de hamburguer',\n", + " ' Refeições congeladas',\n", + " ' fruta tropical',\n", + " ' queijo macio',\n", + " ' leite inteiro'],\n", + " [' água engarrafada',\n", + " ' açúcar',\n", + " ' foto/filme',\n", + " ' sobremesa',\n", + " ' vegetais congelados',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' Refeições congeladas',\n", + " ' rolos/pãezinhos',\n", + " ' produtos sazonais'],\n", + " [' carne bovina', ' fruta tropical', ' carne', ' Soro de leite coalhado'],\n", + " [' salsicha',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' vinho branco',\n", + " ' chá',\n", + " ' coalhada',\n", + " ' citrino',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' doce',\n", + " ' pratos',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' leite UHT',\n", + " ' fruta semente',\n", + " ' pão semi-acabado',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' leite inteiro',\n", + " ' produtos de batata',\n", + " ' artigos de higiene',\n", + " ' chocolate'],\n", + " [' frango',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' Margarina'],\n", + " [' salsicha', ' refrigerante'],\n", + " [' carne de porco',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' vinagre',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' refrigerante',\n", + " ' sobremesa',\n", + " ' espalhar queijo',\n", + " ' jornais',\n", + " ' pão integral'],\n", + " [' iogurte',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' ovos domésticos',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' barra de especialidade'],\n", + " [' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' presunto',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' coalhada',\n", + " ' legumes em conserva',\n", + " ' comida de cão',\n", + " ' pastelaria',\n", + " ' cerveja engarrafada'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' bolsas',\n", + " ' pão de fígado',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' ovos domésticos',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente'],\n", + " [' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' vinho tinto/blush',\n", + " ' vegetais de raiz',\n", + " ' vegetais congelados',\n", + " ' bagas',\n", + " ' fermento em pó'],\n", + " [' pastelaria', ' carne de porco', ' carne de porco', ' outros vegetais'],\n", + " [' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' lanche salgado',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' pastelaria',\n", + " ' Uísque'],\n", + " [' leite inteiro',\n", + " ' presunto',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' marshmallow de chocolate',\n", + " ' citrino',\n", + " ' pão integral',\n", + " ' refrigerante',\n", + " ' Refeições congeladas',\n", + " ' refrigerante'],\n", + " [' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' jornais',\n", + " ' carne de porco',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' misc. bebidas',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' limpador abrasivo'],\n", + " [' produtos de manutenção da casa',\n", + " ' cebola',\n", + " ' frango',\n", + " ' pão integral',\n", + " ' misc. bebidas',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' guardanapos',\n", + " ' sacolas de compras',\n", + " ' pão branco',\n", + " ' jornais',\n", + " ' refrigerante',\n", + " ' refrigerante'],\n", + " [' iogurte',\n", + " ' carne de hamburguer',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' barra de especialidade',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' guardanapos',\n", + " ' jornais',\n", + " ' produto de panificação longa vida',\n", + " ' queijo duro',\n", + " ' jornais',\n", + " ' cuidado dental'],\n", + " [' fruta tropical',\n", + " ' goma de mascar',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' sobremesa'],\n", + " [' fruta tropical',\n", + " ' cebola',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' leite UHT',\n", + " ' carne bovina',\n", + " ' óleo',\n", + " ' café',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' queijo fatiado',\n", + " ' sacolas de compras'],\n", + " [' coalhada',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos'],\n", + " [' carne bovina',\n", + " ' pratos',\n", + " ' leite inteiro',\n", + " ' carne de porco',\n", + " ' sobremesa',\n", + " ' vinho tinto/blush'],\n", + " [' leite inteiro',\n", + " ' pastelaria',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' ovos domésticos'],\n", + " [' outros vegetais',\n", + " ' chocolate',\n", + " ' frango',\n", + " ' iogurte',\n", + " ' Margarina',\n", + " ' Soro de leite coalhado',\n", + " ' citrino',\n", + " ' leite UHT',\n", + " ' licor (aperitivo)',\n", + " ' licor',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' ovos domésticos',\n", + " ' queijo duro',\n", + " ' pão semi-acabado',\n", + " ' produtos de batata congelada'],\n", + " [' rolos/pãezinhos',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' pão branco',\n", + " ' café',\n", + " ' iogurte',\n", + " ' cebola',\n", + " ' água engarrafada',\n", + " ' café',\n", + " ' guardanapos',\n", + " ' leite UHT',\n", + " ' água engarrafada'],\n", + " [' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' frango',\n", + " ' carne de hamburguer',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' sal',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' vinho branco'],\n", + " [' água engarrafada',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' sobremesa',\n", + " ' leite UHT',\n", + " ' Margarina',\n", + " ' ovos domésticos',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' comida de cão'],\n", + " [' salsicha', ' presunto', ' cerveja em lata', ' outros vegetais'],\n", + " [' rolos/pãezinhos',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' Sementes de flores)',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' Sementes de flores)'],\n", + " [' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' uvas',\n", + " ' legumes em conserva',\n", + " ' fruta semente',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' produto de panificação longa vida',\n", + " ' iogurte',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' café',\n", + " ' artigos de higiene'],\n", + " [' frango',\n", + " ' carne bovina',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' jornais',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro'],\n", + " [' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' Refeições congeladas',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' pão integral',\n", + " ' queijo fatiado',\n", + " ' cuidado dental',\n", + " ' água engarrafada',\n", + " ' produtos sanitários femininos',\n", + " ' sacolas de compras',\n", + " ' queijo fatiado'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' mostarda',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' chantilly/creme azedo',\n", + " ' fruta tropical',\n", + " ' misc. bebidas',\n", + " ' pastelaria',\n", + " ' manteiga',\n", + " ' pastelaria',\n", + " ' sacolas de compras',\n", + " ' vinho tinto/blush',\n", + " ' guardanapos',\n", + " ' pão branco',\n", + " ' queijo duro'],\n", + " [' leite UHT',\n", + " ' leite UHT',\n", + " ' carne',\n", + " ' peixe congelado',\n", + " ' outros vegetais',\n", + " ' nozes/ameixas'],\n", + " [' rolos/pãezinhos',\n", + " ' carne bovina',\n", + " ' espumante',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' Soro de leite coalhado',\n", + " ' misc. bebidas',\n", + " ' vegetais de raiz',\n", + " ' conhaque',\n", + " ' peixe enlatado',\n", + " ' pastelaria',\n", + " ' suco de frutas/legumes'],\n", + " [' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' peru',\n", + " ' vegetais de raiz',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' pão branco',\n", + " ' outros vegetais',\n", + " ' bagas',\n", + " ' ovos domésticos',\n", + " ' fruta tropical',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' goma de mascar',\n", + " ' jornais',\n", + " ' lanche salgado',\n", + " ' massa',\n", + " ' sacolas de compras'],\n", + " [' iogurte',\n", + " 'waffles',\n", + " ' uvas',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' Soro de leite coalhado',\n", + " ' pudim em pó',\n", + " ' queijo duro',\n", + " ' pão branco',\n", + " ' comida de gato',\n", + " ' queijo duro'],\n", + " [' chantilly/creme azedo',\n", + " ' cerveja em lata',\n", + " ' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' carne',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' chocolate especial',\n", + " ' açúcar',\n", + " ' leite inteiro',\n", + " ' coalhada'],\n", + " [' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' chocolate especial',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' ervas',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' cosméticos masculinos',\n", + " ' fruta/legumes embalados'],\n", + " [' rolos/pãezinhos',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' leite inteiro',\n", + " ' massa'],\n", + " [' bebidas',\n", + " ' frango',\n", + " ' presunto',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' óleo',\n", + " ' açúcar',\n", + " ' chocolate',\n", + " ' fruta tropical',\n", + " ' fruta/legumes embalados',\n", + " ' pão branco',\n", + " ' queijo duro',\n", + " ' doce',\n", + " ' Pipoca'],\n", + " [' rolos/pãezinhos',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' uvas',\n", + " ' produtos de rolo',\n", + " ' coalhada',\n", + " ' cerveja engarrafada',\n", + " ' café instantâneo',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' açúcar',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais enlatados',\n", + " ' pastelaria',\n", + " ' sacolas de compras'],\n", + " [' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' ervas',\n", + " ' detergente',\n", + " ' fermento em pó',\n", + " ' outros vegetais',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado'],\n", + " [' cerveja engarrafada',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " 'waffles',\n", + " ' leite inteiro',\n", + " ' sal',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' Queijo processado'],\n", + " [' pastelaria',\n", + " ' Queijo processado',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' Leite condensado',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' Produtos alimentares instantâneos',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' peixe enlatado',\n", + " ' Soro de leite coalhado',\n", + " ' maionese'],\n", + " [' carne bovina',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' barra de bolo',\n", + " ' leite inteiro',\n", + " ' doce'],\n", + " [' espalhar queijo',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' carne de porco',\n", + " ' café instantâneo',\n", + " ' pão integral'],\n", + " [' fruta tropical',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' marshmallow de chocolate',\n", + " ' suco de frutas/legumes',\n", + " ' peixe enlatado'],\n", + " [' fruta/legumes embalados',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' cerveja em lata',\n", + " ' manteiga',\n", + " ' carne de hamburguer',\n", + " ' cerveja em lata',\n", + " ' espalhar queijo',\n", + " ' Soro de leite coalhado',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' pão integral'],\n", + " [' leite inteiro',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' óleo'],\n", + " [' carne',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' espalhar queijo',\n", + " ' cebola',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' Leite condensado',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' barra de especialidade',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' pastelaria',\n", + " ' café',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' comida de gato'],\n", + " [' cebola',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' carne de porco',\n", + " ' comida de cão',\n", + " ' sobremesa',\n", + " ' queijo duro'],\n", + " [' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' vasos de plantas',\n", + " ' frango',\n", + " ' película aderente/sacos',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' café',\n", + " ' chocolate especial',\n", + " ' ovos domésticos',\n", + " ' vinho tinto/blush',\n", + " ' barra de especialidade',\n", + " ' óleo',\n", + " ' requeijão',\n", + " ' rolos/pãezinhos',\n", + " ' queijo duro',\n", + " ' chocolate especial',\n", + " ' farinha',\n", + " ' leite UHT',\n", + " ' ovos domésticos'],\n", + " [' carne bovina',\n", + " ' peru',\n", + " ' fruta tropical',\n", + " ' massa',\n", + " ' goma de mascar',\n", + " ' café'],\n", + " [' carne bovina',\n", + " ' chocolate',\n", + " ' queijo fatiado',\n", + " ' frango',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' óleo',\n", + " ' chocolate',\n", + " ' queijo macio',\n", + " ' água engarrafada',\n", + " ' pão integral',\n", + " ' pastelaria',\n", + " ' sal'],\n", + " [' salsicha',\n", + " ' fruta semente',\n", + " ' pão branco',\n", + " ' sacolas de compras',\n", + " ' legumes em conserva',\n", + " ' rolos/pãezinhos'],\n", + " [' frango',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' ovos domésticos',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' vegetais congelados',\n", + " ' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' leite UHT',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' fruta tropical',\n", + " ' Refeições congeladas',\n", + " ' sacolas de compras',\n", + " ' pão semi-acabado',\n", + " ' frango',\n", + " ' carne de porco',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' chocolate'],\n", + " [' salsicha',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' jornais',\n", + " ' jornais',\n", + " ' manteiga',\n", + " ' cuidado dental'],\n", + " [' salsicha',\n", + " ' espalhar queijo',\n", + " ' jornais',\n", + " ' fruta semente',\n", + " ' sobremesa',\n", + " ' lanche salgado',\n", + " ' pratos',\n", + " ' espalhar queijo',\n", + " ' misc. bebidas',\n", + " ' refrigerante',\n", + " ' ovos domésticos'],\n", + " [' carne bovina',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' água engarrafada',\n", + " ' pão branco',\n", + " ' pastelaria',\n", + " ' vasos de plantas',\n", + " ' leite inteiro',\n", + " ' produtos orgânicos'],\n", + " [' fruta tropical',\n", + " ' carne bovina',\n", + " ' citrino',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' Margarina',\n", + " ' vegetais de raiz',\n", + " ' suco de frutas/legumes',\n", + " ' fruta/legumes embalados',\n", + " ' café',\n", + " ' Margarina'],\n", + " [' iogurte',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' Leite condensado',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' pão branco',\n", + " ' suco de frutas/legumes',\n", + " ' queijo duro',\n", + " ' vegetais congelados',\n", + " ' comida de gato'],\n", + " [' salsicha',\n", + " ' chocolate especial',\n", + " ' salsicha orgânica',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' carne de hamburguer',\n", + " ' água engarrafada',\n", + " ' queijo especial',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' goma de mascar',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' jornais'],\n", + " [' uvas',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' Margarina',\n", + " ' iogurte',\n", + " ' queijo macio'],\n", + " [' bebidas',\n", + " ' bebidas',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' bebidas',\n", + " ' rolos/pãezinhos',\n", + " ' requeijão',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' lanche salgado',\n", + " ' pão branco'],\n", + " [' coalhada',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' carne',\n", + " ' carne de hamburguer',\n", + " ' foto/filme',\n", + " ' foto/filme',\n", + " ' leite inteiro',\n", + " ' queijo macio',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' peixe congelado',\n", + " ' pão branco'],\n", + " [' salsicha',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' sobremesa',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' carne bovina',\n", + " ' rolos/pãezinhos',\n", + " ' sorvete',\n", + " ' cuidado dental',\n", + " ' pastelaria',\n", + " ' requeijão',\n", + " ' refrigerante',\n", + " ' zwieback',\n", + " ' água engarrafada'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' pão semi-acabado',\n", + " 'waffles',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' creme',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' suco de frutas/legumes'],\n", + " [' sobremesa',\n", + " ' jornais',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' sacolas de compras'],\n", + " [' cerveja em lata',\n", + " ' pastas doces',\n", + " ' cebola',\n", + " ' leite inteiro',\n", + " ' pratos',\n", + " ' leite inteiro',\n", + " ' bagas',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' jornais',\n", + " ' espalhar queijo',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' açúcar',\n", + " ' chocolate especial',\n", + " ' farinha',\n", + " ' limpador de prato',\n", + " ' amaciante',\n", + " ' água engarrafada',\n", + " ' licor',\n", + " ' sacolas de compras'],\n", + " [' café',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' goma de mascar',\n", + " ' pão integral',\n", + " ' pratos',\n", + " ' chocolate especial',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' sobremesa congelada',\n", + " ' iogurte',\n", + " ' vegetais congelados',\n", + " ' barra de especialidade'],\n", + " [' bagas',\n", + " ' cerveja em lata',\n", + " ' sobremesa',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' vegetais congelados',\n", + " ' chantilly/creme azedo',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' pão branco',\n", + " ' Margarina'],\n", + " [' carne de porco',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' carne de hamburguer',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' carne de hamburguer',\n", + " ' Pipoca',\n", + " ' Pipoca',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' produtos sanitários femininos',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' limpador',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' café',\n", + " ' molhos',\n", + " ' vegetais especiais'],\n", + " [' salsicha',\n", + " ' outros vegetais',\n", + " ' leite UHT',\n", + " ' leite inteiro',\n", + " ' doce',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' gordura especial',\n", + " ' pratos'],\n", + " [' sobremesa congelada',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' fruta tropical',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' ovos domésticos',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' óleo'],\n", + " [' frango',\n", + " ' carne bovina',\n", + " ' vegetais de raiz',\n", + " ' barra de especialidade',\n", + " ' rolos/pãezinhos',\n", + " ' limpador abrasivo',\n", + " ' produtos de batata congelada',\n", + " ' manteiga',\n", + " ' ovos domésticos',\n", + " ' lanche salgado',\n", + " ' jornais'],\n", + " [' vinagre',\n", + " ' leite inteiro',\n", + " ' frango',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo',\n", + " ' vinho branco',\n", + " ' artigos de higiene'],\n", + " [' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' Soro de leite coalhado',\n", + " ' guardanapos'],\n", + " [' carne de porco',\n", + " ' detergente',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' vinho branco',\n", + " ' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' vasos de plantas',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' café',\n", + " ' água engarrafada',\n", + " ' açúcar',\n", + " ' ovos domésticos',\n", + " ' requeijão'],\n", + " [' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' legumes em conserva',\n", + " ' queijo duro',\n", + " ' sobremesa',\n", + " ' sacolas de compras',\n", + " ' legumes em conserva'],\n", + " [' uvas',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' ovos domésticos',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' frango',\n", + " ' peixe enlatado',\n", + " ' bebidas',\n", + " ' lanche salgado',\n", + " ' Soro de leite coalhado',\n", + " ' cerveja engarrafada',\n", + " ' zwieback',\n", + " ' ervas'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa',\n", + " ' cerveja engarrafada',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' açúcar',\n", + " ' doce',\n", + " ' água engarrafada',\n", + " 'waffles'],\n", + " [' produtos finalizados', ' vegetais de raiz'],\n", + " [' fruta tropical',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' cerveja em lata',\n", + " ' artif. adoçante',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' bebidas',\n", + " ' bagas',\n", + " ' coalhada',\n", + " ' refrigerante',\n", + " ' água engarrafada'],\n", + " [' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' cebola',\n", + " ' pão semi-acabado',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' pastelaria'],\n", + " [' presunto',\n", + " ' óleo',\n", + " ' vinho branco',\n", + " ' bebidas',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' carne',\n", + " ' citrino',\n", + " ' queijo duro',\n", + " ' fruta tropical',\n", + " ' café',\n", + " 'sopas prontas',\n", + " ' artigos de higiene',\n", + " ' peixe enlatado',\n", + " ' refrigerante'],\n", + " [' outros vegetais', ' outros vegetais'],\n", + " [' coalhada',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' manteiga',\n", + " ' citrino',\n", + " ' pão integral',\n", + " ' carne de porco',\n", + " ' cuidado dental',\n", + " 'waffles',\n", + " ' farinha'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' foto/filme',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' Uísque',\n", + " ' produtos de batata congelada',\n", + " ' mostarda',\n", + " ' requeijão'],\n", + " [' cerveja em lata',\n", + " ' açúcar',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' carne de porco',\n", + " ' coalhada',\n", + " ' cebola',\n", + " ' suco de frutas/legumes',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' uvas',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' Margarina',\n", + " ' sacolas de compras'],\n", + " [' fruta/legumes embalados',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' goma de mascar',\n", + " ' Leite condensado',\n", + " ' pão integral',\n", + " ' espalhar queijo',\n", + " ' lâmpadas',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' Leite condensado',\n", + " 'waffles',\n", + " ' citrino',\n", + " ' suco de frutas/legumes',\n", + " ' massa',\n", + " ' água engarrafada',\n", + " ' coalhada'],\n", + " [' carne',\n", + " ' carne de porco',\n", + " ' pastelaria',\n", + " ' bagas',\n", + " ' jornais',\n", + " ' ervas',\n", + " ' chantilly/creme azedo',\n", + " 'waffles',\n", + " ' cerveja engarrafada',\n", + " ' zwieback',\n", + " ' guardanapos'],\n", + " [' leite inteiro',\n", + " ' fermento em pó',\n", + " ' água engarrafada',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' comida de gato',\n", + " ' lanche salgado',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos'],\n", + " [' cerveja em lata',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' café',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' sorvete',\n", + " ' queijo duro',\n", + " ' açúcar',\n", + " ' Margarina'],\n", + " [' frango',\n", + " ' leite inteiro',\n", + " ' chocolate especial',\n", + " ' suco de frutas/legumes'],\n", + " [' rolos/pãezinhos',\n", + " ' espumante',\n", + " ' frango',\n", + " ' Soro de leite coalhado',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' jornais',\n", + " ' jornais',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte'],\n", + " [' clínica de cuidado de animais domésticos',\n", + " ' pão integral',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' carne de porco',\n", + " ' leite UHT',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' carne de porco',\n", + " ' vinho tinto/blush',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' pão branco',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' película aderente/sacos',\n", + " ' legumes em conserva',\n", + " ' pão integral',\n", + " ' pastelaria'],\n", + " [' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' conhaque',\n", + " ' vasos de plantas',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos'],\n", + " [' pastelaria',\n", + " ' vegetais de raiz',\n", + " ' carne',\n", + " ' cerveja em lata',\n", + " ' vinho tinto/blush',\n", + " ' sobremesa',\n", + " ' queijo fatiado',\n", + " ' goma de mascar'],\n", + " [' salsicha',\n", + " ' cebola',\n", + " ' chantilly/creme azedo',\n", + " ' uvas',\n", + " 'waffles',\n", + " ' café',\n", + " 'waffles',\n", + " ' iogurte',\n", + " ' espalhar queijo',\n", + " ' pratos',\n", + " ' ovos domésticos',\n", + " ' óleo'],\n", + " [' frango',\n", + " ' carne de porco',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' açúcar',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' chocolate especial',\n", + " ' pão branco',\n", + " ' outros vegetais',\n", + " ' pão semi-acabado',\n", + " ' fruta tropical',\n", + " ' sopas',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' manteiga',\n", + " ' sacolas de compras',\n", + " ' barra de especialidade',\n", + " ' sacolas de compras',\n", + " ' Requeijão cremoso',\n", + " ' café instantâneo'],\n", + " [' sobremesa congelada',\n", + " ' leite inteiro',\n", + " ' produtos sazonais',\n", + " ' sobremesa',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' artigos de higiene',\n", + " ' pratos',\n", + " ' coalhada',\n", + " ' frutas congeladas',\n", + " ' jornais',\n", + " ' pastelaria',\n", + " ' sacolas de compras',\n", + " 'waffles',\n", + " ' doce'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' cebola',\n", + " ' outros vegetais',\n", + " ' produto de panificação longa vida',\n", + " ' jornais',\n", + " ' queijo fatiado',\n", + " ' comida de gato',\n", + " ' cereais',\n", + " ' iogurte',\n", + " ' produto de panificação longa vida',\n", + " ' vinho branco'],\n", + " [' vegetais de raiz',\n", + " 'waffles',\n", + " ' carne de porco',\n", + " ' cebola',\n", + " ' frango',\n", + " ' pão integral',\n", + " ' vegetais congelados',\n", + " ' leite inteiro',\n", + " ' lanche salgado',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' lanche de nozes',\n", + " ' ketchup',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' refrigerante',\n", + " ' guardanapos'],\n", + " [' vegetais de raiz',\n", + " ' ovos domésticos',\n", + " 'waffles',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' café',\n", + " ' sacolas de compras',\n", + " ' água engarrafada',\n", + " ' água engarrafada'],\n", + " [' salsicha',\n", + " ' espalhar queijo',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' cerveja em lata',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' vegetais congelados',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' comida de cão',\n", + " ' cerveja em lata',\n", + " ' vegetais congelados'],\n", + " [' bagas', ' outros vegetais'],\n", + " [' carne de hamburguer',\n", + " ' salsicha',\n", + " ' artigos de higiene',\n", + " ' bebidas',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' sobremesa',\n", + " ' vegetais enlatados',\n", + " ' refrigerante',\n", + " ' vinho branco'],\n", + " [' fruta tropical',\n", + " ' uvas',\n", + " ' sobremesa',\n", + " ' refrigerante',\n", + " ' peru',\n", + " ' café',\n", + " ' cebola',\n", + " ' Leite condensado',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' Fruta enlatada',\n", + " ' sacolas de compras',\n", + " ' pão branco',\n", + " ' queijo macio',\n", + " ' sacolas de compras',\n", + " ' Queijo processado',\n", + " ' refrigerante',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " 'waffles',\n", + " ' carne de hamburguer',\n", + " ' pastelaria',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' massa',\n", + " ' refrigerante',\n", + " ' comida de gato',\n", + " ' doce',\n", + " ' refrigerante',\n", + " ' queijo duro'],\n", + " [' salsicha',\n", + " ' sobremesa congelada',\n", + " ' coalhada',\n", + " ' rolos/pãezinhos',\n", + " ' vinho branco',\n", + " ' pastelaria',\n", + " ' manteiga',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' produto de panificação longa vida'],\n", + " [' refrigerante',\n", + " ' salsicha',\n", + " ' pão integral',\n", + " ' jornais',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' ovos domésticos',\n", + " ' coalhada',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados'],\n", + " [' sorvete', ' fruta tropical', ' outros vegetais', ' cerveja em lata'],\n", + " [' carne bovina',\n", + " ' Margarina',\n", + " ' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada'],\n", + " [' leite inteiro',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' chantilly/creme azedo',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' fermento em pó',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' barra de especialidade',\n", + " ' Margarina'],\n", + " [' carne de porco',\n", + " ' manteiga',\n", + " ' citrino',\n", + " ' pão integral',\n", + " ' carne de porco',\n", + " ' carne',\n", + " ' fruta semente',\n", + " ' sobremesa',\n", + " ' citrino',\n", + " ' carne de porco',\n", + " ' sacolas de compras',\n", + " ' artigos de higiene',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' produto de panificação longa vida',\n", + " ' pão branco',\n", + " ' sacolas de compras',\n", + " ' café',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' guardanapos'],\n", + " [' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' citrino',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' limpador de prato',\n", + " ' vinho tinto/blush',\n", + " ' jornais',\n", + " ' pastelaria',\n", + " ' Margarina'],\n", + " [' carne de porco',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' chantilly/creme azedo',\n", + " ' cerveja em lata',\n", + " ' açúcar',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' farinha',\n", + " ' outros vegetais',\n", + " ' doce',\n", + " ' vegetais congelados',\n", + " ' outros vegetais',\n", + " ' farinha',\n", + " ' limpador de prato',\n", + " ' queijo duro',\n", + " 'waffles'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' jornais',\n", + " ' fruta tropical',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos'],\n", + " [' cerveja em lata', ' comida de cão', ' nozes/ameixas', ' coalhada'],\n", + " [' citrino',\n", + " ' ervas',\n", + " ' frango',\n", + " ' rolos/pãezinhos',\n", + " ' peru',\n", + " ' produtos sanitários femininos',\n", + " ' coalhada',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' Refeições congeladas'],\n", + " [' fruta semente',\n", + " ' leite UHT',\n", + " ' cerveja engarrafada',\n", + " ' vegetais de raiz',\n", + " ' carne bovina',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' vegetais congelados',\n", + " ' bagas',\n", + " ' sacolas de compras',\n", + " ' barra de especialidade',\n", + " ' vegetais enlatados',\n", + " ' conhaque'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' artigos de higiene',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' legumes em conserva',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' peixe enlatado',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' Requeijão cremoso',\n", + " ' queijo fatiado',\n", + " ' suco de frutas/legumes'],\n", + " [' fruta tropical',\n", + " ' legumes em conserva',\n", + " ' citrino',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' goma de mascar',\n", + " ' carne bovina',\n", + " ' iogurte',\n", + " ' café'],\n", + " [' carne bovina',\n", + " ' fruta semente',\n", + " ' Soro de leite coalhado',\n", + " ' fruta tropical',\n", + " ' presunto',\n", + " ' refrigerante',\n", + " ' pão integral',\n", + " ' vegetais de raiz',\n", + " ' vegetais congelados',\n", + " ' leite UHT',\n", + " ' chantilly/creme azedo',\n", + " ' manteiga',\n", + " ' citrino',\n", + " ' água engarrafada'],\n", + " [' frango',\n", + " ' Refeições congeladas',\n", + " ' comida de gato',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa',\n", + " ' limpador de prato'],\n", + " [' citrino',\n", + " ' fruta semente',\n", + " ' vinho branco',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' jornais',\n", + " ' farinha',\n", + " ' guardanapos',\n", + " ' comida de gato',\n", + " ' jornais'],\n", + " [' carne',\n", + " ' refrigerante',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' produtos de manutenção da casa',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' coalhada',\n", + " ' farinha',\n", + " ' queijo fatiado',\n", + " ' iogurte',\n", + " ' doce'],\n", + " [' citrino', ' salsicha', ' carne de hamburguer', ' leite inteiro'],\n", + " [' barra de especialidade',\n", + " ' vegetais de raiz',\n", + " ' pastelaria',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' sorvete',\n", + " ' produto de panificação longa vida'],\n", + " [' citrino',\n", + " ' salsicha',\n", + " ' Soro de leite coalhado',\n", + " ' guardanapos',\n", + " ' carne',\n", + " ' uvas',\n", + " ' sobremesa',\n", + " ' chantilly/creme azedo',\n", + " ' refrigerante',\n", + " ' Queijo processado',\n", + " ' cerveja engarrafada',\n", + " ' pratos'],\n", + " [' salsicha',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' ovos domésticos'],\n", + " [' citrino',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' Refeições congeladas',\n", + " ' utensílios de cozinha',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' misc. bebidas',\n", + " ' cerveja engarrafada'],\n", + " [' peru',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' pastelaria',\n", + " ' citrino',\n", + " ' cebola',\n", + " ' gordura especial',\n", + " ' pão integral',\n", + " ' água engarrafada',\n", + " ' guardanapos',\n", + " ' fruta tropical',\n", + " ' produto de panificação longa vida'],\n", + " [' salsicha',\n", + " ' leite UHT',\n", + " ' salsicha',\n", + " ' queijo especial',\n", + " ' outros vegetais',\n", + " ' sobremesa',\n", + " ' sobremesa',\n", + " ' sal',\n", + " ' clínica de cuidado de animais domésticos',\n", + " ' pão integral',\n", + " ' Margarina',\n", + " ' refrigerante',\n", + " ' Margarina',\n", + " ' maionese',\n", + " ' chantilly/creme azedo',\n", + " ' chocolate'],\n", + " [' leite inteiro',\n", + " ' fruta semente',\n", + " ' chantilly/creme azedo',\n", + " ' peru',\n", + " ' iogurte',\n", + " ' carne bovina',\n", + " ' café',\n", + " ' vegetais congelados',\n", + " ' vegetais de raiz',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' chocolate',\n", + " ' ervas',\n", + " ' bagas',\n", + " ' suco de frutas/legumes'],\n", + " [' iogurte',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' rolos/pãezinhos'],\n", + " [' iogurte',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' vinho tinto/blush',\n", + " ' água engarrafada'],\n", + " [' água engarrafada',\n", + " ' Soro de leite coalhado',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' pão semi-acabado',\n", + " ' ervas',\n", + " ' chantilly/creme azedo',\n", + " ' outros vegetais',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' detergente',\n", + " ' jornais',\n", + " ' toalhas de cozinha',\n", + " ' guardanapos'],\n", + " [' bagas',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' queijo fatiado',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' goma de mascar',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' pratos'],\n", + " [' fruta/legumes embalados',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' sobremesa congelada',\n", + " ' fruta tropical',\n", + " ' comida de cão',\n", + " ' carne de hamburguer',\n", + " ' vasos de plantas',\n", + " ' refrigerante',\n", + " ' lanches'],\n", + " [' nozes/ameixas',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' cebola',\n", + " ' pão integral',\n", + " ' leite inteiro'],\n", + " [' citrino',\n", + " ' Requeijão cremoso',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' gordura especial',\n", + " ' vinho tinto/blush'],\n", + " [' carne bovina', ' cebola'],\n", + " [' leite inteiro',\n", + " ' molhos',\n", + " ' vasos de plantas',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' ovos domésticos',\n", + " ' uvas',\n", + " ' pão integral',\n", + " ' detergente',\n", + " ' bebidas de cacau'],\n", + " [' outros vegetais',\n", + " ' fruta tropical',\n", + " ' produtos sazonais',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' pão integral',\n", + " ' legumes em conserva',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' comida de cão'],\n", + " [' carne bovina',\n", + " ' frango',\n", + " ' artigos de higiene',\n", + " ' citrino',\n", + " ' sorvete',\n", + " ' Soro de leite coalhado',\n", + " ' água engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' doce'],\n", + " [' peixe',\n", + " ' carne',\n", + " ' bebidas',\n", + " ' carne bovina',\n", + " ' uvas',\n", + " ' carne',\n", + " ' jornais',\n", + " ' doce',\n", + " ' cerveja em lata',\n", + " ' marshmallow de chocolate',\n", + " ' pratos'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' presunto',\n", + " ' leite inteiro',\n", + " ' uvas',\n", + " ' outros vegetais',\n", + " ' sobremesa',\n", + " ' leite inteiro'],\n", + " [' café',\n", + " ' frango',\n", + " ' citrino',\n", + " ' bebidas',\n", + " ' Fruta enlatada',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' pão branco',\n", + " ' sobremesa',\n", + " ' rolos/pãezinhos',\n", + " ' óleo',\n", + " ' água engarrafada',\n", + " ' pastelaria',\n", + " ' artigos de higiene',\n", + " ' água engarrafada',\n", + " ' jornais',\n", + " ' pão branco'],\n", + " [' salsicha',\n", + " ' peru',\n", + " ' cerveja em lata',\n", + " ' peixe',\n", + " ' leite inteiro',\n", + " ' sacolas de compras',\n", + " ' iogurte',\n", + " ' cerveja em lata'],\n", + " [' carne',\n", + " ' presunto',\n", + " ' vegetais congelados',\n", + " ' salsicha',\n", + " ' artigos de higiene',\n", + " ' presunto',\n", + " ' barra de bolo',\n", + " ' iogurte',\n", + " ' açúcar',\n", + " ' água engarrafada',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' pão semi-acabado'],\n", + " [' frango',\n", + " ' cerveja engarrafada',\n", + " ' pão integral',\n", + " ' frango',\n", + " ' rolos/pãezinhos',\n", + " ' uvas',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' pastelaria',\n", + " ' pão integral',\n", + " ' pastelaria',\n", + " ' Queijo processado'],\n", + " [' bagas',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' produto de panificação longa vida',\n", + " ' outros vegetais',\n", + " ' produto de panificação longa vida',\n", + " ' queijo fatiado',\n", + " ' Soro de leite coalhado'],\n", + " [' Refeições congeladas',\n", + " ' leite inteiro',\n", + " ' bebidas',\n", + " ' óleo',\n", + " ' outros vegetais',\n", + " ' frutas congeladas',\n", + " ' suco de frutas/legumes',\n", + " ' produtos de batata congelada',\n", + " ' refrigerante',\n", + " ' pão integral',\n", + " ' manteiga',\n", + " ' cosméticos masculinos'],\n", + " [' chantilly/creme azedo', ' vegetais de raiz'],\n", + " [' carne bovina',\n", + " ' queijo especial',\n", + " ' fruta semente',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' misc. bebidas',\n", + " ' Soro de leite coalhado',\n", + " ' vinho tinto/blush',\n", + " ' iogurte'],\n", + " [' frango',\n", + " ' carne de porco',\n", + " ' sacolas de compras',\n", + " ' manteiga',\n", + " ' sorvete',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte'],\n", + " [' carne bovina',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' ketchup',\n", + " ' pastelaria',\n", + " ' pão semi-acabado'],\n", + " [' fruta/legumes embalados',\n", + " ' vegetais congelados',\n", + " ' leite inteiro',\n", + " ' guardanapos',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' bebidas',\n", + " ' citrino'],\n", + " [' salsicha',\n", + " ' cebola',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' peru',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos'],\n", + " [' bagas',\n", + " ' citrino',\n", + " ' carne',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' pão branco',\n", + " ' rolos/pãezinhos'],\n", + " [' água engarrafada',\n", + " ' fruta semente',\n", + " ' pão integral',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' sorvete',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' café',\n", + " ' iogurte'],\n", + " [' leite inteiro',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' conhaque',\n", + " ' pão branco'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' ovos domésticos',\n", + " ' Requeijão cremoso',\n", + " ' vinho branco',\n", + " ' barra de especialidade'],\n", + " [' vegetais de raiz',\n", + " ' leite UHT',\n", + " ' guardanapos',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' jornais',\n", + " ' manteiga',\n", + " ' carne de porco',\n", + " ' frango',\n", + " ' vegetais congelados',\n", + " ' chantilly/creme azedo',\n", + " ' cebola',\n", + " ' barra de especialidade',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' Requeijão cremoso'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' açúcar',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' café'],\n", + " [' salsicha',\n", + " ' sorvete',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' citrino'],\n", + " [' carne bovina', ' chocolate especial'],\n", + " [' suco de frutas/legumes',\n", + " ' coalhada',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' café instantâneo',\n", + " ' peixe enlatado',\n", + " ' pratos',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' misc. bebidas',\n", + " ' iogurte',\n", + " ' café',\n", + " ' óleo',\n", + " ' outros vegetais',\n", + " ' vasos de plantas'],\n", + " [' bagas',\n", + " ' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' salsicha',\n", + " ' queijo fatiado',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' queijo fatiado',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' vegetais enlatados'],\n", + " [' iogurte',\n", + " ' salsicha',\n", + " ' goma de mascar',\n", + " ' leite inteiro',\n", + " ' chocolate',\n", + " ' chocolate especial',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' zwieback',\n", + " ' leite inteiro',\n", + " ' leite UHT',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' cebola',\n", + " ' cerveja engarrafada',\n", + " ' comida de gato',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' óleo',\n", + " ' água engarrafada'],\n", + " [' carne de porco', ' água engarrafada'],\n", + " [' cerveja engarrafada',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' frango',\n", + " ' pão semi-acabado',\n", + " ' ovos domésticos',\n", + " ' chá'],\n", + " [' carne bovina',\n", + " ' fruta tropical',\n", + " ' fruta tropical',\n", + " ' carne de hamburguer',\n", + " ' comida de gato',\n", + " ' vegetais congelados',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' vegetais enlatados',\n", + " ' pratos',\n", + " ' refrigerante',\n", + " ' artigos de higiene',\n", + " ' ovos domésticos',\n", + " ' chá'],\n", + " [' carne de porco',\n", + " ' carne de porco',\n", + " ' requeijão',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' ervas',\n", + " ' mostarda',\n", + " ' coalhada',\n", + " ' água engarrafada',\n", + " ' cerveja engarrafada'],\n", + " [' produtos de batata',\n", + " ' carne bovina',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' carne de porco',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' produto de panificação longa vida',\n", + " ' rolos/pãezinhos',\n", + " ' ervas',\n", + " ' óleo',\n", + " ' manteiga',\n", + " ' iogurte'],\n", + " [' frango',\n", + " ' fruta semente',\n", + " ' zwieback',\n", + " ' sacolas de compras',\n", + " ' vinho branco',\n", + " ' leite UHT',\n", + " ' refrigerante',\n", + " ' Requeijão cremoso'],\n", + " [' frango',\n", + " ' salsicha',\n", + " ' produtos sazonais',\n", + " ' fruta tropical',\n", + " 'waffles',\n", + " ' barra de especialidade',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' sal',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' sacolas de compras',\n", + " ' pastas de carne'],\n", + " [' peixe',\n", + " ' água engarrafada',\n", + " ' jornais',\n", + " ' sacolas de compras',\n", + " ' refrigerante',\n", + " ' farinha'],\n", + " [' cerveja em lata', ' salsicha', ' refrigerante', ' refrigerante'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' Queijo processado',\n", + " ' carne',\n", + " ' sobremesa',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' suco de frutas/legumes',\n", + " ' Refeições congeladas',\n", + " ' comida de gato'],\n", + " [' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' frutas congeladas',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' vegetais congelados',\n", + " ' barra de especialidade'],\n", + " [' fruta tropical',\n", + " ' cerveja em lata',\n", + " ' rolos/pãezinhos',\n", + " ' cerveja engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' ovos domésticos',\n", + " ' chocolate',\n", + " ' leite inteiro',\n", + " ' sorvete',\n", + " ' vasos de plantas',\n", + " ' iogurte',\n", + " ' pão branco'],\n", + " [' leite inteiro',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' frango',\n", + " ' peru',\n", + " ' carne de porco',\n", + " ' comida de cão',\n", + " ' chocolate',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' espumante',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' cerveja em lata'],\n", + " [' carne bovina',\n", + " ' citrino',\n", + " ' pão branco',\n", + " ' artif. adoçante',\n", + " ' carne',\n", + " ' vegetais de raiz',\n", + " ' removedor de maquiagem',\n", + " ' lanche salgado'],\n", + " [' salsicha',\n", + " ' iogurte',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' goma de mascar',\n", + " ' Soro de leite coalhado',\n", + " ' leite inteiro'],\n", + " [' leite inteiro',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' doce',\n", + " ' carne de porco',\n", + " ' licor (aperitivo)',\n", + " ' pastas de carne',\n", + " ' barra de especialidade',\n", + " ' chantilly/creme azedo',\n", + " ' ovos domésticos',\n", + " ' velas',\n", + " ' vinho tinto/blush'],\n", + " [' rolos/pãezinhos',\n", + " ' chocolate especial',\n", + " ' Soro de leite coalhado',\n", + " ' refrigerante'],\n", + " [' citrino',\n", + " ' sobremesa congelada',\n", + " ' iogurte',\n", + " ' presunto',\n", + " ' fruta tropical',\n", + " ' leite inteiro'],\n", + " [' leite inteiro',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " 'waffles',\n", + " ' chantilly/creme azedo',\n", + " ' pastelaria',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' velas',\n", + " ' refrigerante',\n", + " ' barra de bolo',\n", + " ' leite inteiro',\n", + " ' pastas doces',\n", + " ' pão integral',\n", + " ' farinha'],\n", + " [' fruta tropical', ' chantilly/creme azedo'],\n", + " [' lanche salgado',\n", + " ' iogurte',\n", + " ' vegetais de raiz',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' sacolas de compras',\n", + " ' Margarina',\n", + " ' pastelaria',\n", + " ' café',\n", + " ' água engarrafada'],\n", + " [' leite inteiro', ' salsicha', ' frango', ' água engarrafada'],\n", + " [' vegetais de raiz',\n", + " ' licor',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' misc. bebidas',\n", + " ' pastelaria',\n", + " ' açúcar',\n", + " ' spray de cabelo',\n", + " ' sacolas de compras',\n", + " ' refrigerante',\n", + " ' cerveja em lata'],\n", + " [' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' doce',\n", + " ' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' peixe enlatado',\n", + " ' queijo especial',\n", + " ' iogurte',\n", + " ' iogurte'],\n", + " [' coalhada',\n", + " ' leite inteiro',\n", + " ' vinho tinto/blush',\n", + " ' chantilly/creme azedo',\n", + " ' lâmpadas',\n", + " ' cozinhar chocolate'],\n", + " [' água engarrafada',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' café',\n", + " ' bebidas',\n", + " 'waffles',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo'],\n", + " [' fruta/legumes embalados',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' Soro de leite coalhado',\n", + " ' artigos de higiene'],\n", + " [' fruta tropical', ' produtos orgânicos', ' velas', ' refrigerante'],\n", + " [' bebidas',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' legumes em conserva',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " 'waffles'],\n", + " [' salsicha',\n", + " ' sorvete',\n", + " ' cebola',\n", + " ' produtos sanitários femininos',\n", + " ' iogurte',\n", + " ' licor',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' ovos domésticos',\n", + " ' pratos',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' vinho tinto/blush',\n", + " ' sacolas de compras',\n", + " 'waffles'],\n", + " [' salsicha',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' barra de especialidade',\n", + " ' outros vegetais'],\n", + " [' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' pastas doces',\n", + " ' zwieback',\n", + " ' cerveja engarrafada',\n", + " ' Refeições congeladas',\n", + " ' Sementes de flores)',\n", + " ' massa',\n", + " ' sacolas de compras'],\n", + " [' refrigerante',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' queijo fatiado',\n", + " ' sacolas de compras',\n", + " ' peixe congelado',\n", + " ' suco de frutas/legumes'],\n", + " [' refrigerante',\n", + " ' chocolate',\n", + " ' refrigerante',\n", + " ' artigos de higiene',\n", + " ' chantilly/creme azedo',\n", + " ' chocolate especial',\n", + " ' rolos/pãezinhos'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' carne',\n", + " ' outros vegetais',\n", + " ' coalhada',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' Queijo processado',\n", + " ' rolos/pãezinhos',\n", + " ' peixe enlatado',\n", + " ' zwieback',\n", + " ' rolos/pãezinhos'],\n", + " [' bagas',\n", + " ' Requeijão cremoso',\n", + " ' fruta tropical',\n", + " ' chocolate',\n", + " ' produtos finalizados',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos'],\n", + " [' cerveja em lata', ' queijo macio', ' coalhada', ' chocolate especial'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' detergente',\n", + " ' vegetais enlatados'],\n", + " [' salsicha',\n", + " ' carne bovina',\n", + " ' cerveja em lata',\n", + " ' leite UHT',\n", + " ' rolos/pãezinhos',\n", + " 'waffles',\n", + " ' vegetais de raiz',\n", + " ' coalhada',\n", + " ' Margarina',\n", + " ' lanche salgado',\n", + " ' pastelaria',\n", + " ' chocolate'],\n", + " [' bagas',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' bebidas',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' vinho branco',\n", + " ' sorvete',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' vinho tinto/blush',\n", + " ' refrigerante',\n", + " ' vegetais congelados'],\n", + " [' salsicha',\n", + " ' fruta/legumes embalados',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' Soro de leite coalhado',\n", + " ' barra de especialidade',\n", + " ' Requeijão cremoso',\n", + " ' ovos domésticos'],\n", + " [' jornais',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' cebola',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' cerveja em lata',\n", + " ' barra de especialidade',\n", + " ' detergente',\n", + " ' barra de especialidade'],\n", + " [' peixe congelado',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' manteiga',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' carne',\n", + " ' bagas',\n", + " ' carne bovina',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' vinho tinto/blush'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' fruta tropical',\n", + " ' presunto',\n", + " ' produtos finalizados',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' maionese',\n", + " ' doce',\n", + " ' barra de especialidade',\n", + " ' leite UHT',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes'],\n", + " [' rolos/pãezinhos',\n", + " ' óleo',\n", + " ' sobremesa',\n", + " ' refrigerante',\n", + " ' molhos',\n", + " ' açúcar',\n", + " 'waffles',\n", + " ' Refeições congeladas',\n", + " ' limpador de prato'],\n", + " [' chocolate especial',\n", + " ' cebola',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais de raiz',\n", + " ' cerveja em lata',\n", + " ' manteiga',\n", + " ' fermento em pó',\n", + " ' açúcar',\n", + " ' cebola',\n", + " ' Sementes de flores)',\n", + " ' água engarrafada'],\n", + " [' leite inteiro',\n", + " ' fruta/legumes embalados',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' cerveja engarrafada'],\n", + " [' foto/filme',\n", + " ' sobremesa',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' pastelaria',\n", + " ' Soro de leite coalhado',\n", + " ' pão branco',\n", + " ' leite inteiro',\n", + " ' queijo fatiado',\n", + " ' pão integral',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' geléia',\n", + " ' coalhada',\n", + " ' outros vegetais',\n", + " ' produtos sazonais',\n", + " ' detergente',\n", + " ' farinha'],\n", + " [' carne de hamburguer',\n", + " ' iogurte',\n", + " ' vegetais de raiz',\n", + " ' película aderente/sacos',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' presunto',\n", + " ' outros vegetais'],\n", + " [' outros vegetais', ' manteiga'],\n", + " [' leite inteiro',\n", + " ' outros vegetais',\n", + " ' presunto',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo'],\n", + " [' carne de porco',\n", + " ' salsicha',\n", + " ' chantilly/creme azedo',\n", + " ' bagas',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' velas',\n", + " ' pastelaria',\n", + " ' chocolate especial',\n", + " ' molhos',\n", + " ' café',\n", + " ' farinha',\n", + " ' espalhar queijo',\n", + " ' maionese',\n", + " ' chocolate especial',\n", + " ' cerveja engarrafada'],\n", + " [' frango',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' detergente',\n", + " ' ovos domésticos',\n", + " ' lanche salgado',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' fruta tropical',\n", + " ' chocolate',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' chantilly/creme azedo',\n", + " ' iogurte',\n", + " ' Margarina'],\n", + " [' leite inteiro',\n", + " ' carne de porco',\n", + " ' velas',\n", + " ' Soro de leite coalhado',\n", + " ' vegetais congelados',\n", + " ' outros vegetais',\n", + " ' Refeições congeladas',\n", + " ' goma de mascar',\n", + " ' sobremesa',\n", + " ' outros vegetais',\n", + " ' Pipoca',\n", + " ' óleo'],\n", + " [' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' carne bovina',\n", + " ' guardanapos',\n", + " ' lanche salgado',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' chocolate',\n", + " ' vegetais congelados',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' chocolate'],\n", + " [' artigos de higiene',\n", + " ' fruta semente',\n", + " ' fruta/legumes embalados',\n", + " ' frango',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais'],\n", + " [' sorvete',\n", + " ' cosméticos para bebês',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' cuidados com a pele',\n", + " ' vegetais de raiz',\n", + " ' vasos de plantas',\n", + " ' fruta semente',\n", + " ' fruta semente',\n", + " ' água engarrafada',\n", + " ' óleo',\n", + " ' citrino',\n", + " ' espalhar queijo',\n", + " ' outros vegetais',\n", + " ' óleo',\n", + " ' ovos domésticos',\n", + " ' sobremesa congelada',\n", + " ' doce',\n", + " ' água engarrafada',\n", + " ' barra de bolo',\n", + " ' refrigerante',\n", + " ' guardanapos'],\n", + " [' coalhada',\n", + " ' outros vegetais',\n", + " ' carne de hamburguer',\n", + " ' produtos de batata congelada',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " 'waffles',\n", + " ' Requeijão cremoso',\n", + " ' refrigerante',\n", + " ' pão semi-acabado',\n", + " ' guardanapos'],\n", + " [' leite inteiro',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' licor (aperitivo)',\n", + " ' sacolas de compras'],\n", + " [' cebola',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada'],\n", + " [' produtos finalizados', ' artif. adoçante', ' iogurte', ' ervas'],\n", + " [' sal',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' manteiga',\n", + " ' sacolas de compras',\n", + " ' suco de frutas/legumes'],\n", + " [' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' bagas',\n", + " ' fruta tropical',\n", + " ' Requeijão cremoso',\n", + " ' óleo',\n", + " ' sacolas de compras',\n", + " ' coalhada',\n", + " ' iogurte',\n", + " ' Pipoca',\n", + " ' peixe congelado'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' chocolate especial',\n", + " ' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' peixe congelado',\n", + " ' leite inteiro',\n", + " ' pão branco',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' comida de gato',\n", + " ' comida de gato',\n", + " ' cebola',\n", + " ' cerveja engarrafada',\n", + " ' farinha',\n", + " ' jornais',\n", + " ' Margarina',\n", + " ' produtos de rolo',\n", + " ' pastelaria'],\n", + " [' sorvete',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' peixe',\n", + " ' Margarina',\n", + " ' uvas',\n", + " ' leite UHT',\n", + " ' Margarina',\n", + " ' pastelaria',\n", + " ' cerveja em lata',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' iogurte'],\n", + " [' fruta tropical',\n", + " ' carne de porco',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' pastelaria',\n", + " ' prosecco'],\n", + " [' salsicha',\n", + " ' ervas',\n", + " ' rolos/pãezinhos',\n", + " ' peru',\n", + " ' refrigerante',\n", + " ' fruta semente',\n", + " ' pastelaria',\n", + " ' produto de panificação longa vida'],\n", + " [' outros vegetais',\n", + " ' água engarrafada',\n", + " ' película aderente/sacos',\n", + " ' guardanapos'],\n", + " [' fruta tropical',\n", + " ' cerveja em lata',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' carne de porco',\n", + " ' leite UHT',\n", + " ' ovos domésticos',\n", + " ' Margarina',\n", + " ' queijo fatiado',\n", + " ' iogurte',\n", + " ' vinho branco',\n", + " ' ovos domésticos',\n", + " ' pão branco',\n", + " ' suco de frutas/legumes'],\n", + " [' citrino',\n", + " ' pão integral',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' peixe enlatado',\n", + " ' pão integral'],\n", + " [' leite UHT',\n", + " ' queijo macio',\n", + " ' rolos/pãezinhos',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' óleo',\n", + " ' vinho tinto/blush',\n", + " ' fruta semente',\n", + " ' maionese'],\n", + " [' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' Sementes de flores)'],\n", + " [' iogurte',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' Margarina'],\n", + " [' cerveja engarrafada', ' salsicha', ' outros vegetais', 'waffles'],\n", + " [' uvas', ' leite inteiro'],\n", + " [' carne de porco',\n", + " ' outros vegetais',\n", + " ' Pipoca',\n", + " ' outros vegetais',\n", + " ' frango',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' foto/filme',\n", + " ' carne',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' pratos',\n", + " ' ervas',\n", + " ' cerveja em lata',\n", + " ' fruta semente',\n", + " ' cebola',\n", + " ' Requeijão cremoso',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes',\n", + " ' óleo',\n", + " ' Margarina',\n", + " ' Soro de leite coalhado',\n", + " ' chocolate',\n", + " ' velas',\n", + " ' pão branco',\n", + " ' produtos sanitários femininos'],\n", + " [' salsicha',\n", + " ' carne bovina',\n", + " ' jornais',\n", + " ' carne de porco',\n", + " ' citrino',\n", + " ' limpador de prato',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' farinha',\n", + " ' Margarina',\n", + " ' produtos sanitários femininos'],\n", + " [' salsicha',\n", + " ' salsicha orgânica',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' queijo duro',\n", + " ' água engarrafada',\n", + " ' sacolas de compras',\n", + " ' detergente'],\n", + " [' artif. adoçante', ' carne de porco', ' leite inteiro', ' pastelaria'],\n", + " [' ovos domésticos',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' jornais',\n", + " ' outros vegetais',\n", + " ' jornais',\n", + " ' pão branco',\n", + " ' cereais',\n", + " ' xarope',\n", + " ' lanche salgado',\n", + " ' limpador'],\n", + " [' fruta/legumes embalados',\n", + " ' uvas',\n", + " ' refrigerante',\n", + " ' citrino',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' pratos',\n", + " ' refrigerante',\n", + " ' coalhada',\n", + " ' rolos/pãezinhos',\n", + " ' artigos de higiene',\n", + " ' suco de frutas/legumes',\n", + " ' manteiga',\n", + " ' amaciante',\n", + " 'waffles',\n", + " ' cerveja engarrafada'],\n", + " [' frango',\n", + " ' rolos/pãezinhos',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' produtos finalizados',\n", + " ' bagas',\n", + " ' rolos/pãezinhos',\n", + " ' manteiga',\n", + " ' coalhada',\n", + " ' massa',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' pastelaria',\n", + " ' iogurte',\n", + " ' doce',\n", + " ' refrigerante',\n", + " ' jornais',\n", + " ' citrino'],\n", + " [' lâmpadas',\n", + " ' queijo duro',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' chocolate',\n", + " ' cebola',\n", + " ' iogurte',\n", + " ' licor',\n", + " ' nozes/ameixas',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' vinagre'],\n", + " [' salsicha',\n", + " ' água engarrafada',\n", + " ' água engarrafada',\n", + " ' Sementes de flores)',\n", + " ' ovos domésticos',\n", + " ' suco de frutas/legumes',\n", + " ' chantilly/creme azedo',\n", + " ' chocolate'],\n", + " [' citrino',\n", + " ' carne',\n", + " ' pão de fígado',\n", + " ' vegetais de raiz',\n", + " ' queijo fatiado',\n", + " ' pão branco',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' água engarrafada',\n", + " ' refrigerante',\n", + " ' ervas',\n", + " ' outros vegetais',\n", + " ' pastelaria',\n", + " ' pastelaria',\n", + " ' Refeições congeladas',\n", + " ' jornais',\n", + " ' cebola'],\n", + " [' outros vegetais',\n", + " ' chantilly/creme azedo',\n", + " ' peixe enlatado',\n", + " ' licor',\n", + " ' café instantâneo',\n", + " ' sacolas de compras'],\n", + " [' sorvete',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' carne bovina',\n", + " ' coalhada',\n", + " ' licor',\n", + " ' sacolas de compras',\n", + " ' Margarina',\n", + " ' ovos domésticos',\n", + " ' queijo especial'],\n", + " [' carne de porco',\n", + " ' café',\n", + " ' pão integral',\n", + " ' licor',\n", + " ' uvas',\n", + " ' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' pão integral',\n", + " ' jornais',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' detergente',\n", + " ' vegetais congelados'],\n", + " [' carne de porco',\n", + " ' refrigerante',\n", + " ' bebidas',\n", + " ' zwieback',\n", + " ' óleo',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' pão branco',\n", + " ' ovos domésticos'],\n", + " [' fruta tropical',\n", + " ' lanche salgado',\n", + " ' coalhada',\n", + " ' salsicha',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' iogurte',\n", + " ' uvas',\n", + " ' chocolate',\n", + " ' frango',\n", + " ' pão branco',\n", + " ' jornais',\n", + " ' rolos/pãezinhos',\n", + " ' fruta semente',\n", + " ' refrigerante',\n", + " ' misc. bebidas',\n", + " ' vinho tinto/blush',\n", + " 'waffles'],\n", + " [' chantilly/creme azedo',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos'],\n", + " [' bagas',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' água engarrafada',\n", + " ' produtos orgânicos'],\n", + " [' bagas',\n", + " ' leite inteiro',\n", + " ' carne',\n", + " ' citrino',\n", + " ' frango',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' presunto',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada',\n", + " ' pão branco',\n", + " ' cereais',\n", + " ' vegetais enlatados'],\n", + " [' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' bagas',\n", + " ' vegetais de raiz',\n", + " ' pão branco',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' guardanapos',\n", + " ' artigos de higiene',\n", + " ' licor (aperitivo)'],\n", + " [' café',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' conhaque',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' peixe congelado',\n", + " ' Leite condensado',\n", + " ' Leite condensado',\n", + " ' leite inteiro',\n", + " ' ovos domésticos',\n", + " ' legumes em conserva',\n", + " ' pão integral'],\n", + " [' leite inteiro',\n", + " ' frango',\n", + " ' sacolas de compras',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' coalhada',\n", + " ' licor',\n", + " ' salsicha',\n", + " ' café',\n", + " ' outros vegetais',\n", + " ' água engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' chantilly/creme azedo',\n", + " ' queijo duro',\n", + " ' jornais',\n", + " ' café'],\n", + " [' leite inteiro',\n", + " ' sobremesa',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' lâmpadas',\n", + " ' fruta semente',\n", + " ' queijo especial',\n", + " ' queijo duro',\n", + " ' cerveja em lata',\n", + " ' gordura especial',\n", + " ' sacolas de compras'],\n", + " [' citrino',\n", + " ' chantilly/creme azedo',\n", + " ' óleo',\n", + " ' carne',\n", + " ' carne de hamburguer',\n", + " ' manteiga',\n", + " ' água engarrafada',\n", + " ' iogurte',\n", + " ' jornais',\n", + " ' rolos/pãezinhos'],\n", + " [' peru', ' água engarrafada', ' leite UHT', ' água engarrafada'],\n", + " [' Margarina', ' vegetais de raiz'],\n", + " [' Soro de leite coalhado',\n", + " ' coalhada',\n", + " ' bagas',\n", + " ' bebidas',\n", + " ' vegetais de raiz',\n", + " ' produto de panificação longa vida',\n", + " ' barra de bolo',\n", + " ' ovos domésticos'],\n", + " [' carne bovina',\n", + " ' fruta/legumes embalados',\n", + " ' salsicha',\n", + " ' água engarrafada',\n", + " ' sorvete',\n", + " ' manteiga',\n", + " ' outros vegetais',\n", + " ' licor (aperitivo)',\n", + " ' Margarina',\n", + " ' leite inteiro'],\n", + " [' água engarrafada',\n", + " ' carne',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa',\n", + " ' Margarina',\n", + " ' ovos domésticos'],\n", + " [' fruta semente',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' guardanapos',\n", + " ' fruta tropical',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' chantilly/creme azedo',\n", + " ' jornais',\n", + " ' leite UHT',\n", + " ' Requeijão cremoso',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' xarope',\n", + " ' sal',\n", + " ' ovos domésticos',\n", + " ' açúcar',\n", + " ' espalhar queijo',\n", + " ' queijo macio',\n", + " ' farinha',\n", + " ' peixe congelado',\n", + " ' detergente',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso'],\n", + " [' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' comida de gato',\n", + " ' vegetais de raiz',\n", + " ' espalhar queijo',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' refrigerante',\n", + " ' queijo fatiado',\n", + " ' refrigerante'],\n", + " [' chocolate',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' cebola',\n", + " ' pão integral',\n", + " ' leite UHT',\n", + " ' detergente',\n", + " ' limpador abrasivo',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras'],\n", + " [' salsicha',\n", + " ' presunto',\n", + " ' comida de cão',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' cerveja em lata',\n", + " ' manteiga',\n", + " ' vinho tinto/blush'],\n", + " [' leite inteiro',\n", + " ' vinho tinto/blush',\n", + " ' uvas',\n", + " ' presunto',\n", + " ' água engarrafada',\n", + " ' cerveja engarrafada',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' presunto',\n", + " ' carne de porco',\n", + " ' água engarrafada',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' sorvete',\n", + " ' limpador de banheiro',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' vegetais congelados',\n", + " ' guardanapos',\n", + " ' guardanapos',\n", + " 'waffles'],\n", + " [' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' salsicha',\n", + " ' peixe enlatado',\n", + " ' amaciante',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' iogurte',\n", + " ' Margarina',\n", + " ' artigos de higiene'],\n", + " [' leite UHT',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' Refeições congeladas',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' óleo',\n", + " ' barra de bolo'],\n", + " [' cebola',\n", + " ' rolos/pãezinhos',\n", + " ' peru',\n", + " ' frango',\n", + " ' lanche de nozes',\n", + " ' chá',\n", + " ' carne de hamburguer',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' outros vegetais',\n", + " ' produtos de rolo',\n", + " ' cerveja engarrafada',\n", + " ' bebidas',\n", + " ' jornais'],\n", + " [' carne de porco',\n", + " ' carne de hamburguer',\n", + " ' coalhada',\n", + " ' sacolas de compras',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' refrigerante',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos'],\n", + " [' cerveja em lata',\n", + " ' chantilly/creme azedo',\n", + " ' carne de hamburguer',\n", + " ' rolos/pãezinhos',\n", + " ' presunto',\n", + " ' pão branco',\n", + " ' frango',\n", + " ' especiarias',\n", + " ' Queijo processado',\n", + " ' iogurte',\n", + " ' sopas',\n", + " ' Margarina',\n", + " ' chocolate'],\n", + " [' iogurte',\n", + " ' carne de porco',\n", + " ' vegetais de raiz',\n", + " ' queijo duro',\n", + " ' iogurte',\n", + " ' fruta semente',\n", + " ' misc. bebidas',\n", + " ' iogurte'],\n", + " [' fruta semente',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' cerveja em lata',\n", + " ' água engarrafada',\n", + " ' chocolate especial',\n", + " ' ovos domésticos',\n", + " ' outros vegetais',\n", + " ' ovos domésticos',\n", + " ' película aderente/sacos',\n", + " ' cerveja engarrafada',\n", + " ' refrigerante',\n", + " 'waffles',\n", + " ' misc. bebidas',\n", + " ' café instantâneo'],\n", + " [' café',\n", + " ' outros vegetais',\n", + " ' barra de especialidade',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' Soro de leite coalhado',\n", + " ' jornais',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' bebidas',\n", + " ' pastelaria',\n", + " ' fermento em pó',\n", + " ' iogurte'],\n", + " [' água engarrafada',\n", + " ' chocolate especial',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' bebidas',\n", + " ' refrigerante',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " ' massa'],\n", + " [' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' leite UHT',\n", + " ' vegetais de raiz',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante',\n", + " ' bebidas',\n", + " ' pastelaria',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' pão integral',\n", + " ' chocolate especial'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' lanches',\n", + " ' produto de panificação longa vida'],\n", + " [' sacolas de compras',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' peru',\n", + " ' iogurte',\n", + " ' vegetais de raiz',\n", + " ' Margarina',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' Produtos alimentares instantâneos',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' peixe enlatado',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante'],\n", + " [' carne de porco',\n", + " ' salsicha',\n", + " ' carne bovina',\n", + " ' chocolate',\n", + " ' vegetais de raiz',\n", + " ' Refeições congeladas',\n", + " ' pão integral',\n", + " ' peixe congelado',\n", + " ' peixe congelado'],\n", + " [' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' café instantâneo',\n", + " ' leite UHT',\n", + " ' Margarina',\n", + " ' leite inteiro',\n", + " ' pratos',\n", + " ' manteiga',\n", + " ' velas',\n", + " ' licor',\n", + " ' iogurte',\n", + " ' lanche salgado'],\n", + " [' sorvete',\n", + " ' carne bovina',\n", + " ' uvas',\n", + " ' salsicha',\n", + " ' leite UHT',\n", + " ' outros vegetais',\n", + " ' ervas',\n", + " ' pastelaria',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' iogurte',\n", + " ' queijo macio',\n", + " ' guardanapos'],\n", + " [' salsicha',\n", + " ' manteiga',\n", + " ' bebidas',\n", + " ' refrigerante',\n", + " ' cebola',\n", + " ' outros vegetais',\n", + " ' sacolas de compras',\n", + " ' guardanapos',\n", + " ' chocolate'],\n", + " [' salsicha',\n", + " ' iogurte',\n", + " ' cosméticos masculinos',\n", + " ' óleo',\n", + " ' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' açúcar',\n", + " ' sal',\n", + " ' chantilly/creme azedo',\n", + " ' água engarrafada'],\n", + " [' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' salsicha',\n", + " ' rolos/pãezinhos',\n", + " ' Margarina',\n", + " ' Requeijão cremoso',\n", + " ' manteiga',\n", + " ' jornais',\n", + " ' removedor de maquiagem',\n", + " ' gordura especial',\n", + " ' ovos domésticos',\n", + " ' sacolas de compras'],\n", + " [' leite inteiro',\n", + " ' artigos de higiene',\n", + " ' refrigerante',\n", + " ' café',\n", + " ' produto de panificação longa vida',\n", + " ' vegetais congelados'],\n", + " [' salsicha',\n", + " ' café',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' cerveja engarrafada',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' água engarrafada',\n", + " ' manteiga',\n", + " ' Margarina',\n", + " ' açúcar',\n", + " ' pão integral',\n", + " ' café',\n", + " ' cerveja em lata',\n", + " ' lanche salgado',\n", + " ' jornais',\n", + " ' refrigerante'],\n", + " [' sacolas de compras',\n", + " ' Soro de leite coalhado',\n", + " ' salsicha',\n", + " ' fruta/legumes embalados',\n", + " ' Soro de leite coalhado',\n", + " ' Margarina',\n", + " ' licor (aperitivo)',\n", + " ' chá',\n", + " ' café'],\n", + " [' manteiga',\n", + " ' outros vegetais',\n", + " ' cerveja em lata',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' pastelaria',\n", + " ' jornais',\n", + " ' sobremesa',\n", + " ' cerveja em lata',\n", + " ' fruta/legumes embalados',\n", + " ' Queijo processado',\n", + " ' farinha',\n", + " ' pastas de carne'],\n", + " [' salsicha', ' leite inteiro'],\n", + " [' carne de porco',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' ervas',\n", + " ' Requeijão cremoso',\n", + " ' farinha',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' comida de cão'],\n", + " [' leite inteiro',\n", + " ' carne de hamburguer',\n", + " ' fruta tropical',\n", + " ' pastelaria',\n", + " ' Soro de leite coalhado',\n", + " ' licor',\n", + " ' bebidas',\n", + " ' iogurte',\n", + " ' coalhada',\n", + " ' toalhas de cozinha',\n", + " ' refrigerante',\n", + " ' cerveja engarrafada'],\n", + " [' pão integral', ' sacolas de compras'],\n", + " [' peixe congelado',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' queijo especial',\n", + " ' vegetais congelados',\n", + " ' sacolas de compras',\n", + " ' rolos/pãezinhos'],\n", + " [' refrigerante', ' leite inteiro', ' uvas', ' jornais'],\n", + " [' carne de porco',\n", + " ' chantilly/creme azedo',\n", + " ' carne bovina',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' coalhada'],\n", + " [' chantilly/creme azedo',\n", + " ' iogurte',\n", + " ' Refeições congeladas',\n", + " ' goma de mascar',\n", + " ' refrigerante',\n", + " ' óleo'],\n", + " [' salsicha',\n", + " ' leite inteiro',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' vegetais de raiz',\n", + " ' cebola',\n", + " ' fruta/legumes embalados',\n", + " ' fruta/legumes embalados',\n", + " ' pão integral',\n", + " ' óleo',\n", + " ' misc. bebidas'],\n", + " [' salsicha',\n", + " ' ovos domésticos',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' carne bovina',\n", + " ' fruta semente',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' citrino',\n", + " ' produtos de rolo',\n", + " ' Leite condensado',\n", + " ' outros vegetais',\n", + " ' vinho branco',\n", + " ' xarope',\n", + " ' vasos de plantas',\n", + " ' pão integral',\n", + " ' queijo duro',\n", + " ' refrigerante',\n", + " ' produtos de rolo',\n", + " ' jornais'],\n", + " [' citrino',\n", + " 'waffles',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' clínica de cuidado de animais domésticos'],\n", + " [' presunto',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' Refeições congeladas',\n", + " ' fruta tropical',\n", + " ' cerveja engarrafada',\n", + " ' pastelaria',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' jornais'],\n", + " [' goma de mascar',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' salsicha orgânica',\n", + " ' espumante',\n", + " ' outros vegetais',\n", + " ' Refeições congeladas',\n", + " ' sacolas de compras',\n", + " ' chocolate especial',\n", + " ' rolos/pãezinhos',\n", + " ' lanche salgado'],\n", + " [' carne bovina',\n", + " ' pão integral',\n", + " ' leite inteiro',\n", + " ' jornais',\n", + " ' cerveja em lata',\n", + " ' bagas',\n", + " ' misc. bebidas',\n", + " ' fruta tropical',\n", + " ' café instantâneo',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' açúcar',\n", + " ' Refeições congeladas',\n", + " ' iogurte',\n", + " ' lanche salgado',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' rolos/pãezinhos',\n", + " ' limpador de prato',\n", + " ' cerveja engarrafada'],\n", + " [' carne bovina',\n", + " ' outros vegetais',\n", + " ' carne bovina',\n", + " ' goma de mascar',\n", + " ' ovos domésticos',\n", + " ' fruta tropical',\n", + " ' maionese',\n", + " ' rolos/pãezinhos',\n", + " ' sacolas de compras',\n", + " ' café',\n", + " ' manteiga',\n", + " ' chocolate',\n", + " ' guardanapos',\n", + " ' pão integral',\n", + " ' bebidas'],\n", + " [' salsicha',\n", + " ' carne de porco',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' ovos domésticos',\n", + " ' chocolate',\n", + " ' queijo duro',\n", + " ' água engarrafada'],\n", + " [' peixe enlatado',\n", + " ' fruta semente',\n", + " ' salsicha',\n", + " ' sobremesa',\n", + " ' coalhada',\n", + " ' barra de especialidade',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' salsicha',\n", + " ' açúcar',\n", + " ' peixe enlatado',\n", + " ' queijo macio',\n", + " ' iogurte',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' óleo',\n", + " ' coalhada',\n", + " ' leite inteiro',\n", + " ' jornais'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' frango',\n", + " ' salsicha',\n", + " ' pastelaria',\n", + " ' suco de frutas/legumes',\n", + " ' película aderente/sacos',\n", + " ' cerveja em lata',\n", + " ' vasos de plantas',\n", + " ' rolos/pãezinhos',\n", + " ' refrigerante'],\n", + " [' água engarrafada',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' Requeijão cremoso',\n", + " ' pastelaria',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' Requeijão cremoso',\n", + " ' fermento em pó',\n", + " ' suco de frutas/legumes',\n", + " ' leite inteiro'],\n", + " [' água engarrafada',\n", + " ' outros vegetais',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' pastas de carne',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' lâmpadas',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' queijo duro',\n", + " ' cerveja em lata',\n", + " ' vegetais congelados',\n", + " ' manteiga'],\n", + " [' frango', ' maionese', ' artif. adoçante', ' pastelaria'],\n", + " [' salsicha',\n", + " ' carne',\n", + " ' iogurte',\n", + " ' salsicha',\n", + " ' vegetais de raiz',\n", + " ' fruta tropical',\n", + " ' refrigerante',\n", + " ' lanche salgado',\n", + " ' citrino',\n", + " ' vinho branco',\n", + " ' ovos domésticos',\n", + " ' rolos/pãezinhos',\n", + " ' sobremesa congelada',\n", + " ' vegetais congelados',\n", + " ' bebidas',\n", + " ' cerveja em lata'],\n", + " [' frango',\n", + " ' licor',\n", + " ' chocolate especial',\n", + " ' vinho branco',\n", + " ' salsicha',\n", + " ' nozes/ameixas',\n", + " ' coalhada',\n", + " ' fruta tropical',\n", + " ' Requeijão cremoso',\n", + " ' barra de bolo',\n", + " ' coalhada',\n", + " ' iogurte',\n", + " ' outros vegetais',\n", + " ' vegetais congelados',\n", + " ' lanche salgado'],\n", + " [' frango',\n", + " ' suco de frutas/legumes',\n", + " ' vegetais de raiz',\n", + " ' cebola',\n", + " ' chocolate especial',\n", + " ' iogurte',\n", + " ' manteiga',\n", + " ' iogurte',\n", + " ' Produtos alimentares instantâneos'],\n", + " [' manteiga',\n", + " ' salsicha',\n", + " ' detergente',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' rolos/pãezinhos',\n", + " ' sal'],\n", + " [' chantilly/creme azedo',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' iogurte',\n", + " ' petiscos'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' café',\n", + " ' lanche salgado',\n", + " ' água engarrafada',\n", + " ' Requeijão cremoso',\n", + " ' iogurte',\n", + " ' leite inteiro'],\n", + " [' carne bovina',\n", + " ' água engarrafada',\n", + " ' leite inteiro',\n", + " ' pão semi-acabado',\n", + " ' farinha',\n", + " ' vegetais congelados',\n", + " ' açúcar',\n", + " ' outros vegetais',\n", + " ' refrigerante',\n", + " ' leite UHT',\n", + " ' chantilly/creme azedo'],\n", + " [' frango',\n", + " ' leite inteiro',\n", + " ' cerveja em lata',\n", + " ' cerveja em lata',\n", + " ' misc. bebidas',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes',\n", + " ' rolos/pãezinhos',\n", + " ' limpador de prato'],\n", + " [' salsicha',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' Leite condensado'],\n", + " [' citrino',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' pão integral',\n", + " ' carne de hamburguer',\n", + " ' Requeijão cremoso',\n", + " ' legumes em conserva'],\n", + " [' sorvete', ' leite inteiro', ' cerveja em lata', ' manteiga'],\n", + " [' chocolate especial',\n", + " ' fruta tropical',\n", + " ' carne',\n", + " ' vegetais de raiz',\n", + " ' leite inteiro',\n", + " ' coalhada',\n", + " ' peixe congelado',\n", + " ' pastelaria',\n", + " ' goma de mascar',\n", + " ' sorvete',\n", + " ' cerveja engarrafada',\n", + " ' chocolate',\n", + " ' leite UHT',\n", + " ' jornais',\n", + " ' sacolas de compras',\n", + " ' goma de mascar',\n", + " ' limpador',\n", + " ' suco de frutas/legumes',\n", + " ' refrigerante'],\n", + " [' salsicha',\n", + " ' salsicha',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' ervas',\n", + " ' ovos domésticos',\n", + " ' cerveja engarrafada',\n", + " ' carne',\n", + " ' uvas',\n", + " ' pão integral',\n", + " ' chantilly/creme azedo',\n", + " ' pão branco',\n", + " 'waffles',\n", + " ' refrigerante',\n", + " ' Requeijão cremoso',\n", + " ' água engarrafada'],\n", + " [' carne de porco',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' outros vegetais',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' Margarina',\n", + " ' cerveja engarrafada',\n", + " ' fruta semente',\n", + " ' bagas',\n", + " ' refrigerante',\n", + " ' sacolas de compras',\n", + " ' coalhada',\n", + " ' vegetais de raiz',\n", + " ' doce',\n", + " ' cereais',\n", + " ' queijo fatiado',\n", + " ' queijo macio',\n", + " ' iogurte',\n", + " 'waffles'],\n", + " [' leite UHT',\n", + " ' iogurte',\n", + " ' farinha',\n", + " ' Refeições congeladas',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos',\n", + " ' leite UHT',\n", + " ' chocolate'],\n", + " [' citrino',\n", + " ' carne de porco',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' água engarrafada',\n", + " ' comida de gato',\n", + " ' queijo duro',\n", + " ' produto de panificação longa vida',\n", + " ' água engarrafada'],\n", + " [' salsicha',\n", + " ' pastelaria',\n", + " ' bebidas',\n", + " ' salsicha',\n", + " ' outros vegetais',\n", + " ' doce',\n", + " ' rolos/pãezinhos',\n", + " ' sorvete',\n", + " ' açúcar',\n", + " ' goma de mascar',\n", + " ' manteiga',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' café',\n", + " ' óleo',\n", + " ' rolos/pãezinhos',\n", + " ' queijo duro'],\n", + " [' salsicha',\n", + " ' iogurte',\n", + " ' cerveja em lata',\n", + " ' detergente',\n", + " ' citrino',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' vegetais de raiz',\n", + " ' vegetais de raiz',\n", + " ' queijo fatiado',\n", + " ' Soro de leite coalhado'],\n", + " [' citrino',\n", + " ' fruta tropical',\n", + " ' salsicha',\n", + " ' refrigerante',\n", + " ' citrino',\n", + " ' café',\n", + " ' frango',\n", + " ' doce',\n", + " ' queijo duro',\n", + " ' coalhada',\n", + " ' vegetais congelados',\n", + " ' licor',\n", + " ' sal'],\n", + " [' presunto',\n", + " ' carne',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' petiscos',\n", + " ' Leite condensado',\n", + " ' leite inteiro',\n", + " ' Margarina',\n", + " ' suco de frutas/legumes',\n", + " ' outros vegetais',\n", + " ' açúcar',\n", + " ' pão integral'],\n", + " [' presunto',\n", + " ' salsicha',\n", + " ' Refeições congeladas',\n", + " ' leite inteiro',\n", + " ' Soro de leite coalhado',\n", + " ' fruta tropical',\n", + " ' suco de frutas/legumes',\n", + " ' manteiga',\n", + " ' rolos/pãezinhos',\n", + " ' chocolate',\n", + " ' água engarrafada'],\n", + " [' água engarrafada',\n", + " ' carne de hamburguer',\n", + " ' citrino',\n", + " ' carne bovina',\n", + " ' película aderente/sacos',\n", + " ' carne de porco',\n", + " ' outros vegetais',\n", + " ' Requeijão cremoso',\n", + " ' vinho tinto/blush',\n", + " ' água engarrafada',\n", + " ' manteiga',\n", + " ' carne bovina',\n", + " ' leite inteiro',\n", + " ' queijo macio',\n", + " ' pastas doces',\n", + " ' doce',\n", + " ' limpador',\n", + " ' especiarias'],\n", + " [' Pipoca',\n", + " ' salsicha',\n", + " ' Leite condensado',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' citrino',\n", + " ' pastelaria',\n", + " ' sacolas de compras',\n", + " ' Margarina',\n", + " ' Margarina',\n", + " ' rolos/pãezinhos'],\n", + " [' carne de hamburguer',\n", + " ' suco de frutas/legumes',\n", + " ' fruta semente',\n", + " ' fruta tropical',\n", + " ' iogurte',\n", + " ' vegetais congelados',\n", + " ' rolos/pãezinhos',\n", + " ' Refeições congeladas',\n", + " ' refrigerante',\n", + " ' vegetais congelados'],\n", + " [' refrigerante',\n", + " ' cerveja engarrafada',\n", + " ' suco de frutas/legumes',\n", + " ' presunto',\n", + " ' comida de cão',\n", + " ' detergente',\n", + " ' vinho tinto/blush',\n", + " ' óleo',\n", + " ' leite inteiro'],\n", + " [' salsicha',\n", + " ' carne de hamburguer',\n", + " ' Requeijão cremoso',\n", + " ' Soro de leite coalhado',\n", + " ' carne bovina',\n", + " ' refrigerante',\n", + " ' bagas',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados',\n", + " ' legumes em conserva',\n", + " ' vegetais congelados',\n", + " ' vegetais enlatados',\n", + " ' pastelaria',\n", + " ' cerveja engarrafada'],\n", + " [' iogurte', ' iogurte', ' fruta semente', ' fruta semente'],\n", + " [' carne',\n", + " ' leite UHT',\n", + " ' chantilly/creme azedo',\n", + " ' produtos de manutenção da casa',\n", + " ' massa',\n", + " 'waffles',\n", + " ' leite inteiro',\n", + " ' outros vegetais',\n", + " ' artigos de higiene',\n", + " ' iogurte',\n", + " ' iogurte',\n", + " ' bebidas',\n", + " ' pratos',\n", + " ' comida de gato'],\n", + " [' pão integral',\n", + " ' vasos de plantas',\n", + " ' cerveja em lata',\n", + " ' salsicha orgânica',\n", + " ' citrino',\n", + " ' iogurte',\n", + " ' licor (aperitivo)',\n", + " ' cerveja engarrafada',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' sacolas de compras',\n", + " ' doce',\n", + " ' leite inteiro',\n", + " ' licor',\n", + " ' suco de frutas/legumes'],\n", + " [' pão semi-acabado',\n", + " ' leite inteiro',\n", + " ' fruta tropical',\n", + " ' rolos/pãezinhos'],\n", + " [' leite inteiro',\n", + " ' outros vegetais',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' água engarrafada'],\n", + " [' comida de gato',\n", + " ' outros vegetais',\n", + " ' rolos/pãezinhos',\n", + " ' Soro de leite coalhado'],\n", + " [' citrino',\n", + " ' vegetais de raiz',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' vegetais de raiz',\n", + " ' misc. bebidas',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' carne bovina',\n", + " ' iogurte',\n", + " ' queijo fatiado',\n", + " ' chocolate',\n", + " ' fruta/legumes embalados',\n", + " ' iogurte',\n", + " ' chantilly/creme azedo',\n", + " ' pão integral',\n", + " 'waffles',\n", + " ' chantilly/creme azedo'],\n", + " [' rolos/pãezinhos',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' mostarda',\n", + " ' nozes/ameixas',\n", + " ' óleo',\n", + " ' ovos domésticos',\n", + " ' ovos domésticos'],\n", + " [' vegetais de raiz',\n", + " ' carne de hamburguer',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' rolos/pãezinhos',\n", + " ' açúcar',\n", + " ' sacolas de compras',\n", + " ' vegetais congelados'],\n", + " [' fruta tropical',\n", + " ' salsicha',\n", + " ' chocolate',\n", + " ' outros vegetais',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' leite inteiro',\n", + " ' fruta semente',\n", + " ' iogurte',\n", + " ' massa',\n", + " ' leite inteiro',\n", + " ' barra de especialidade',\n", + " ' café',\n", + " ' detergente',\n", + " ' iogurte',\n", + " ' suco de frutas/legumes'],\n", + " [' pão integral', ' chocolate especial', ' óleo', ' sacolas de compras'],\n", + " [' sacolas de compras',\n", + " ' rolos/pãezinhos',\n", + " ' jornais',\n", + " ' Margarina',\n", + " ' sobremesa congelada',\n", + " ' iogurte',\n", + " ' refrigerante',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' licor (aperitivo)',\n", + " ' queijo duro',\n", + " ' queijo duro',\n", + " ' cerveja em lata'],\n", + " [' uvas',\n", + " ' iogurte',\n", + " ' fruta tropical',\n", + " ' leite inteiro',\n", + " ' citrino',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' bagas',\n", + " ' outros vegetais',\n", + " ' ketchup',\n", + " ' leite inteiro',\n", + " ' cerveja engarrafada',\n", + " ' refrigerante',\n", + " ' sal',\n", + " ' sobremesa',\n", + " 'waffles',\n", + " ' Refeições congeladas',\n", + " ' coalhada',\n", + " ' cerveja engarrafada',\n", + " ' jornais',\n", + " ' sacolas de compras'],\n", + " [' presunto',\n", + " ' carne',\n", + " ' água engarrafada',\n", + " ' vegetais de raiz',\n", + " 'waffles',\n", + " ' outros vegetais',\n", + " ' fruta semente',\n", + " ' leite inteiro',\n", + " ' chocolate especial',\n", + " ' cereais'],\n", + " [' vegetais de raiz',\n", + " ' salsicha',\n", + " ' citrino',\n", + " ' leite inteiro',\n", + " ' chantilly/creme azedo',\n", + " ' vinho branco',\n", + " ' ovos domésticos',\n", + " ' peixe congelado',\n", + " ' farinha'],\n", + " [' sorvete',\n", + " ' fruta semente',\n", + " ' cerveja em lata',\n", + " ' presunto',\n", + " ' cebola',\n", + " ' peixe congelado',\n", + " ' carne',\n", + " ' cerveja engarrafada',\n", + " ' rolos/pãezinhos',\n", + " ' Requeijão cremoso',\n", + " ' iogurte',\n", + " ' pão semi-acabado',\n", + " ' vegetais de raiz',\n", + " ' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' água engarrafada',\n", + " ' chantilly/creme azedo',\n", + " ' Refeições congeladas',\n", + " ' guardanapos',\n", + " ' óleo',\n", + " ' jornais',\n", + " ' leite inteiro',\n", + " ' refrigerante',\n", + " ' vegetais de raiz',\n", + " ' doce'],\n", + " [' fruta tropical',\n", + " ' artigos de higiene',\n", + " ' fruta tropical',\n", + " ' citrino',\n", + " ' espalhar queijo',\n", + " ' café',\n", + " ' leite inteiro',\n", + " ' sobremesa',\n", + " ' sobremesa',\n", + " 'waffles',\n", + " ' rolos/pãezinhos',\n", + " ' suco de frutas/legumes'],\n", + " [' sobremesa', ' ervas', ' coalhada', ' açúcar'],\n", + " [' espumante',\n", + " ' outros vegetais',\n", + " ' cerveja engarrafada',\n", + " ' fruta tropical',\n", + " ' café',\n", + " ' cerveja em lata',\n", + " ' limpador de prato',\n", + " ' rolos/pãezinhos'],\n", + " [' outros vegetais',\n", + " ' vegetais de raiz',\n", + " ' refrigerante',\n", + " ' pão integral',\n", + " ' Soro de leite coalhado',\n", + " ' café',\n", + " ' sorvete',\n", + " ' farinha',\n", + " ' fruta tropical',\n", + " ' pão integral',\n", + " ' açúcar',\n", + " ' pudim em pó'],\n", + " [' misc. bebidas',\n", + " ' refrigerante',\n", + " ' outros vegetais',\n", + " ' outros vegetais',\n", + " ' pão branco',\n", + " ' iogurte',\n", + " ' água engarrafada',\n", + " ' lanches',\n", + " ' sacolas de compras',\n", + " ' sacolas de compras'],\n", + " [' outros vegetais',\n", + " ' salsicha',\n", + " ' leite inteiro',\n", + " ' vegetais congelados',\n", + " ' pastas de carne',\n", + " ' jornais',\n", + " ' chocolate especial',\n", + " ' coalhada',\n", + " ' ovos domésticos',\n", + " ' água engarrafada',\n", + " ' jornais'],\n", + " [' misc. bebidas',\n", + " ' Soro de leite coalhado',\n", + " ' doce',\n", + " ' produtos de batata congelada',\n", + " ' carne',\n", + " ' Refeições congeladas',\n", + " ' fruta/legumes embalados',\n", + " ' Margarina',\n", + " ' chantilly/creme azedo',\n", + " ' queijo especial'],\n", + " [' sobremesa',\n", + " ' salsicha orgânica',\n", + " ' cerveja em lata',\n", + " ' vegetais de raiz',\n", + " ' rolos/pãezinhos',\n", + " ' pão semi-acabado',\n", + " ' rolos/pãezinhos',\n", + " ' jornais',\n", + " ' manteiga'],\n", + " [' salsicha',\n", + " ' cerveja em lata',\n", + " ' citrino',\n", + " ' fruta tropical',\n", + " ' vegetais congelados',\n", + " ' frango',\n", + " ' óleo',\n", + " ' refrigerante',\n", + " ' refrigerante'],\n", + " ...]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ids = df['id'].unique()\n", + "\n", + "list_sales = [ df[df['id'] == id_i][' item'].to_list() for id_i in ids ]\n", + " \n", + "list_sales " + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "7457e48b", + "metadata": {}, + "outputs": [], + "source": [ + "mercado = pd.read_excel('/home/rodolpho/Downloads/mercado.xlsx', header=None)\n", + "mercado = mercado.T" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "f704e52a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[' peru', ' abacate']" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mercado[3].dropna().to_list()" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "f1fbdbfe", + "metadata": {}, + "outputs": [], + "source": [ + "id = []\n", + "product = []\n", + "\n", + "for i in mercado.columns:\n", + " for j in range(len(mercado[i].dropna())):\n", + " id.append(i)\n", + " product.append(mercado[i][j])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "dd8d83f8", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(data={'id_client': id, 'product': product})\n", + "df.to_excel('/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/fonts/README.md b/_sources/fonts/README.md new file mode 100644 index 0000000..dc9074a --- /dev/null +++ b/_sources/fonts/README.md @@ -0,0 +1,7 @@ +# TO install xkcd font family + +Download from https://github.com/ipython/xkcd-font + +Install sudo apt-get install fontforge + +RUN xkcd-font/xkcd/build.py diff --git a/_sources/fonts/xkcd-script/README.md b/_sources/fonts/xkcd-script/README.md new file mode 100644 index 0000000..e69de29 diff --git a/_sources/fonts/xkcd/README.md b/_sources/fonts/xkcd/README.md new file mode 100644 index 0000000..e69de29 diff --git a/_sources/parte_1.ipynb b/_sources/parte_1.ipynb index 99ac447..091d568 100644 --- a/_sources/parte_1.ipynb +++ b/_sources/parte_1.ipynb @@ -24,23 +24,24 @@ "\n", "Todas as notas desse material foram baseadas nas aulas de 2019 ([ACESSE](https://www.youtube.com/playlist?list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI)) do curso do [`Prof. Richard McElreath`](https://www.mpg.de/9349950/evolutionary-anthropology-mcelreath) e também em seu livro (*capa acima*) Statistical Rethinking - *Segunda Edição*. \n", "\n", - "Escrevi esse material como o intuíto de construir um estudo estruturado e que permita uma boa compreensão das aulas do curso e, por consequência, melhorar as habilidades em programação e exposição de idéias.\n", + "Escrevi esse material como o intuíto de construir um estudo estruturado e que permita uma boa compreensão das aulas do curso e, consequentemente, melhorar minhas habilidades em programação e na exposição de ideias complexas como é o caso da probabilidade e a estatística bayesiana.\n", "\n", - "Esse material está sendo escrito tentando preservar os detalhes didáticos que julguei mais importantes da aula para o entendimento futuro. O curso está sendo ministrado na linguagem R. Nesse material, as construções dos modelos foram escritas utilizando a linguagem `Python`, apenas pela finalidade de aprender fazer todas as construções com as determinadas bibliotecas. Ajuda a ter um entendimento mais concreto do que está acontencendo.\n", + "Esse material está sendo escrito preservando os detalhes didáticos que julguei serem os mais importantes para o entendimento. O curso original foi ministrado usando a linguagem R. já nesse material, todas as construções dos modelos foram reescritas utilizando a linguagem `Python`, com a finalidade de aprender e reescrever todas as modelagens e gráficos com as bibliotecas do padrão dessa linguagem. A descrição escritas em liguagem ajuda a ter um entendimento mais concreto do que está acontencendo.\n", "\n", - "Tudo que está inserido nesse material está público nos vídeos do curso, as imagens retiradas da internet contém as fontes de referências, caso eu esteja utilizando algum material privado entre em contato!\n", - "\n", - "Diferenças entre o curso e esse material: esse material foi escrito traduzindo as principais idéias codificadas em [R](https://cran.r-project.org/) em conjunto com o pacote [rethinking](https://github.com/rmcelreath/rethinking) para a linguagem [python](https://www.python.org/) e adicionalmente as suas principais atuais bibliotecas de análise de dados (numpy, scipy, matplotlib) e no lugar do pacote *rethinking* usei, tanto quanto aprendi, a biblioteca [Stan](http://mc-stan.org/) através de sua interface python [pystan](https://pystan.readthedocs.io/en/latest/).\n", + "Tudo que está inserido nesse material está público nos vídeos do curso, no github ou materiais de terceiros, assim comos todas as imagens da internet, na qual contém fontes de referências. Caso esteja utilizando algum material privado entre em contato!\n", "\n", + "**Diferenças entre o curso e esse material**: esse material foi escrito traduzindo as principais idéias codificadas em [R](https://cran.r-project.org/) em conjunto com o pacote [rethinking](https://github.com/rmcelreath/rethinking) para a linguagem [python](https://www.python.org/) e adicionalmente as suas principais atuais bibliotecas de análise de dados (numpy, scipy, matplotlib e arviz) e no lugar do pacote *rethinking* usei, tanto quanto aprendi, a biblioteca [Stan](http://mc-stan.org/) através de sua interface python [pystan](https://pystan.readthedocs.io/en/latest/).\n", "\n", "-----\n", - "Esse material foi escrtio em lingua portuguesa (Brasil).\n", + "Esse material foi escrito (*em grande parte*) em lingua portuguesa (Pt-BR).\n", "\n", - "Está disponibilizado no github: https://github.com/rodolphomacedo.\n", + "Está disponibilizado em [meu github](https://github.com/rodolphomacedo) e uma versão em formato E-Book (*Jupyter Book*) pode ser acessado [clicando aqui](https://rodolphomacedo.github.io/statistical_rethinking_pt_BR/capa.html).\n", "\n", "Erros, sugestões ou dúvidas podem ser enviadas para o email [rodolpho.ime@gmail.com](rodolpho.ime@gmail.com)\n", "\n", - "*Bom estudos!!!*" + "Aos que desejem aprender modelagem bayesiana, espero que esse material forneça um bom caminho introdutório ao assunto.\n", + "\n", + "*Bons estudos!!!*" ] }, { @@ -58,7 +59,9 @@ "Tentei colocar o máximo de figuras e memes que pude encontrar para ilustrar os exemplos, muitos deles foram os mesmos que foram usados nas apresentações do curso. Isso ajudará a lembrar alguns detalhes dito no curso.\n", "\n", "----\n", - "28/07/2022 - Começei a pouco a acompanhar os estudos do livro em conjunto com o curso. A riqueza de pequenos detalhes didáticos contida no livro em comparação com esse material é muito grande, leia o livro! " + "**PS**: Em 28/07/2022 - A partir da Aula 6, pude comprar o livro e dei continuidade aos estudos prioritariamente pelo próprio livro complementando com o curso quando necessário. A riqueza dos pequenos detalhes didáticos contida no livro em comparação com esse material é muito grande, leia o livro!\n", + "\n", + "**PS2**: Em 18/08/2022 - Hoje iniciei a leitura do livro desde o capítulo 1. Sendo assim, todo material escrito do capítulo 6 em diante serão apenas os códigos em Python + Stan e com explicações complementares que podem melhorar o entendimento do assunto. Porém, desse o momento em diante, será preciso acompanhar os estudos diretamente pela leitura do livro e usando esse material com referência para de codificação para Python e/ou para modelos em Stan." ] }, { diff --git a/_sources/parte_10.ipynb b/_sources/parte_10.ipynb new file mode 100644 index 0000000..47fac2d --- /dev/null +++ b/_sources/parte_10.ipynb @@ -0,0 +1,772 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d65ab641", + "metadata": {}, + "source": [ + "# 10 - Grande Entropia e Modelos Lineares Generalizados" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2cea1405", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "449b2877", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2774f695", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6f4405d9", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "c807993a", + "metadata": {}, + "source": [ + "### R Code 10.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b1b1e4ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " A B C D E\n", + "0 -0.0 0.639032 0.950271 1.470808 1.609438" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H = [entropy(p_norm[key]) for key in p_norm.keys()]\n", + "\n", + "df_H = pd.DataFrame(H).T\n", + "df_H.columns = p_norm.keys()\n", + "df_H" + ] + }, + { + "cell_type": "markdown", + "id": "4d185249", + "metadata": {}, + "source": [ + "### R Code 10.4" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3cfacebb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0. , 0.44998097, 0.7138867 , 1.05400644, 1.16386767])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ways = (1, 90, 1260, 37800, 113400)\n", + "\n", + "logwayspp = np.log(ways) / 10\n", + "\n", + "logwayspp" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2088a2f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(16, 6))\n", + "\n", + "plt.plot(logwayspp, df_H.T.values, '--', c='black')\n", + "plt.plot(logwayspp, df_H.T.values, 'o', ms=10)\n", + "\n", + "plt.title('Entropy in Buckets')\n", + "plt.xlabel('log(ways) per pebble')\n", + "plt.ylabel('entropy')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9c75a7a9", + "metadata": {}, + "source": [ + "### R Code 10.5" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "1c47744a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1.0, 1.0, 1.0, 1.0]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Build list of canditate distributions\n", + "p = [\n", + " [1/4, 1/4, 1/4, 1/4],\n", + " [2/6, 1/6, 1/6, 2/6],\n", + " [1/6, 2/6, 2/6, 1/6],\n", + " [1/8, 4/8, 2/8, 1/8],\n", + "]\n", + "\n", + "# Compute the expected values of each\n", + "result = [np.sum(np.multiply(p_i, [0, 1, 1, 2])) for p_i in p]\n", + "result" + ] + }, + { + "cell_type": "markdown", + "id": "33067d14", + "metadata": {}, + "source": [ + "### R Code 10.6" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0810f027", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.3862943611198906\n", + "1.3296613488547582\n", + "1.3296613488547582\n", + "1.2130075659799042\n" + ] + } + ], + "source": [ + "# Compute the entropy of each distribution\n", + "\n", + "for p_i in p:\n", + " print(-np.sum(p_i * np.log(p_i)))" + ] + }, + { + "cell_type": "markdown", + "id": "957ee617", + "metadata": {}, + "source": [ + "### R Code 10.7" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "93d786e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.09, 0.21, 0.21, 0.49])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p = 0.7\n", + "\n", + "A = [\n", + " (1-p)**2,\n", + " p*(1-p),\n", + " (1-p)*p,\n", + " (p)**2,\n", + "]\n", + "\n", + "np.round(A, 3)" + ] + }, + { + "cell_type": "markdown", + "id": "00c96f28", + "metadata": {}, + "source": [ + "### R Code 10.8" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "8c4be3b1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.221728604109787" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "- np.sum(A * np.log(A))" + ] + }, + { + "cell_type": "markdown", + "id": "dc6b416a", + "metadata": {}, + "source": [ + "### R Code 10.9" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "8ae91c55", + "metadata": {}, + "outputs": [], + "source": [ + "def sim_p(G=1.4):\n", + " x = np.random.uniform(0, 1, size=4)\n", + " x[3] = 0 # Removing the last random number x4\n", + " \n", + " x[3] = ( G * np.sum(x) - x[1] - x[2] ) / (2 - G)\n", + " \n", + " p = x / np.sum(x)\n", + " \n", + " return [-np.sum(p * np.log(p)), p]" + ] + }, + { + "cell_type": "markdown", + "id": "cdfdd872", + "metadata": {}, + "source": [ + "### R Code 10.10" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1cb0f5dd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "H = pd.DataFrame([ sim_p(1.4) for _ in range(10000)], columns=('entropies', 'distributions'))\n", + "\n", + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.hist(H.entropies, density=True, rwidth=0.9)\n", + "\n", + "plt.title('Entropy - Binomial')\n", + "plt.xlabel('Entropy')\n", + "plt.ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "914a55af", + "metadata": {}, + "source": [ + "### R Code 10.11" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "d11e9d8a", + "metadata": {}, + "outputs": [], + "source": [ + "# entropies = H.entropies\n", + "# distributions = H.distributions" + ] + }, + { + "cell_type": "markdown", + "id": "d46899f3", + "metadata": {}, + "source": [ + "### R Code 10.12" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b924401c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.2217235826761963" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.entropies.max()" + ] + }, + { + "cell_type": "markdown", + "id": "f9386d7e", + "metadata": {}, + "source": [ + "### R Code 10.13" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8fdfa11a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([array([0.08969631, 0.20938934, 0.21121804, 0.48969631])],\n", + " dtype=object)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H.loc[H.entropies == H.entropies.max(), 'distributions'].values\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_11.ipynb b/_sources/parte_11.ipynb new file mode 100644 index 0000000..88eb13d --- /dev/null +++ b/_sources/parte_11.ipynb @@ -0,0 +1,8614 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8ab6398f", + "metadata": {}, + "source": [ + "# 11 - A cravada de Deus e Inteiros" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2cea1405", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "449b2877", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2774f695", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6f4405d9", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "119c6e36", + "metadata": {}, + "source": [ + "### R Code 11.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d9635532", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_left
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" + ], + "text/plain": [ + " actor recipient condition block trial prosoc_left chose_prosoc \\\n", + "0 1 NaN 0 1 2 0 1 \n", + "1 1 NaN 0 1 4 0 0 \n", + "2 1 NaN 0 1 6 1 0 \n", + "3 1 NaN 0 1 8 0 1 \n", + "4 1 NaN 0 1 10 1 1 \n", + "\n", + " pulled_left \n", + "0 0 \n", + "1 1 \n", + "2 0 \n", + "3 0 \n", + "4 1 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/chimpanzees.csv', sep=';')\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "c0271609", + "metadata": {}, + "source": [ + "- `pulled_left:` Outcome ${0, 1}$ - indicator if the animal pulled the left-hand lever.\n", + "\n", + "\n", + "- `prosoc_left:` Predict ${0, 1}$ - Indicator if left-hand lever was(1) or not(0) the prosocial options.\n", + "\n", + "\n", + "- `condition:` Predict ${0, 1}$ - Indicator if there is a partner (1) or not (0) in the end table. " + ] + }, + { + "cell_type": "markdown", + "id": "9f78cb4b", + "metadata": {}, + "source": [ + "### R Code 11.2" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "702eae88", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
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" + ], + "text/plain": [ + " actor recipient condition block trial prosoc_left chose_prosoc \\\n", + "0 1 NaN 0 1 2 0 1 \n", + "1 1 NaN 0 1 4 0 0 \n", + "2 1 NaN 0 1 6 1 0 \n", + "3 1 NaN 0 1 8 0 1 \n", + "4 1 NaN 0 1 10 1 1 \n", + "\n", + " pulled_left treatment \n", + "0 0 1 \n", + "1 1 1 \n", + "2 0 2 \n", + "3 0 1 \n", + "4 1 2 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['treatment'] = 1 + df['prosoc_left'] + 2 * df['condition']\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "e3a22540", + "metadata": {}, + "source": [ + "- treatment= $1$: prosoc_left = $0$ and contition= $0$: Two food items on **right** and **no partner**.\n", + "\n", + "\n", + "- treatment= $2$: prosoc_left = $1$ and contition= $0$: Two food items on **left** and **no partner**.\n", + "\n", + "\n", + "- treatment= $3$: prosoc_left = $0$ and contition= $1$: Two food items on **right** and **has partner**.\n", + "\n", + "\n", + "- treatment= $4$: prosoc_left = $1$ and contition= $1$: Two food items on **left** and **has partner**." + ] + }, + { + "cell_type": "markdown", + "id": "928c0d2f", + "metadata": {}, + "source": [ + "### R Code 11.3" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "69c1346d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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conditionprosoc_left
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" + ], + "text/plain": [ + " condition prosoc_left\n", + "treatment \n", + "1 126 126\n", + "2 126 126\n", + "3 126 126\n", + "4 126 126\n", + "All 504 504" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.pivot_table(['prosoc_left', 'condition'], 'treatment', aggfunc='count', margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fe1a1fff", + "metadata": {}, + "outputs": [], + "source": [ + "def logit(p):\n", + " return np.log(p) - np.log(1 - p)\n", + "\n", + "def inv_logit(p):\n", + " return np.exp(p) / (1 + np.exp(p))" + ] + }, + { + "cell_type": "markdown", + "id": "630e267e", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{ACTOR[i]} + \\beta_{TREATEMENT[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim \\mbox{to be determined} $$\n", + "$$ \\beta_k \\sim \\mbox{to be determined} $$" + ] + }, + { + "cell_type": "markdown", + "id": "ecbb0a3e", + "metadata": {}, + "source": [ + "**Entendimento:**:\n", + "\n", + "- **Likelihood**:\n", + "\n", + " Para esse caso os dados da resposta, *outcome*, são do tipo binários $0$ ou $1$. A função de likelihood apropriada para esses caso é a $Bernoulli(p)$, ou no caso $Binomial(1, p)$.\n", + "\n", + " Como $p$ é uma probabilidade, está entre $0$ e $1$, usamos uma *função de ligação* para **transformar** os resultados dos preditores para a escala de probabilidade. Nesse caso a função que faz essa transformação é:\n", + "\n", + "$$ logit(p) = log(\\frac{p}{1-p}) $$\n", + "\n", + "\n", + "- **Parameter $\\alpha$**:\n", + "\n", + " Na função de ligação o parâmetro $\\alpha$ é na verdade definido no modelo como um vetor (*vector*). O que estamos modelando aqui é que existe um parâmetro $\\alpha$ para cada chimpanzé, ou seja, para cada *actor*.\n", + " \n", + " $$ \\alpha[1] := \\mbox{ Para o chimpanzé } 1 $$\n", + " \n", + " $$ \\alpha[2] := \\mbox{ Para o chimpanzé } 2 $$ \n", + " \n", + " $$ \\alpha[3] := \\mbox{ Para o chimpanzé } 3 $$ \n", + " \n", + " $$ \\alpha[4] := \\mbox{ Para o chimpanzé } 4 $$ \n", + " \n", + " $$ \\alpha[5] := \\mbox{ Para o chimpanzé } 5 $$ \n", + " \n", + " $$ \\alpha[6] := \\mbox{ Para o chimpanzé } 6 $$ \n", + " \n", + " $$ \\alpha[7] := \\mbox{ Para o chimpanzé } 7 $$\n", + " \n", + " Cada um dos parâmetros $\\alpha$ tem um priori $Normal(\\mu_i, \\sigma_i)$ e essas prioris são idênticas.\n", + " \n", + " O que estamos inferindo com cada um desses $\\alpha$'s é a localização ($\\mu_i$) de cada uma das prioris e seu desvio padrão ($\\sigma_i$)\n", + " \n", + " \n", + " \n", + "- **Parameter $\\beta$**:\n", + "\n", + " O $\\beta$ é a representação de um vetor de $\\beta$'s que mapeiam cada um dos tratamentos:\n", + " \n", + " $$ \\beta[1] := \\mbox{ Para o tratamento } 1 $$\n", + " \n", + " $$ \\beta[2] := \\mbox{ Para o tratamento } 2 $$\n", + " \n", + " $$ \\beta[3] := \\mbox{ Para o tratamento } 3 $$\n", + " \n", + " $$ \\beta[4] := \\mbox{ Para o tratamento } 4 $$\n", + " \n", + "\n", + " No experimento existe uma hipóstese a ser testada: **Os chimpanzés tendem a puxar mais a alavanca do lado pro-social quando tem um outro chimpanzé do outro lado da mesa**, o *partner*?\n", + " \n", + " Os $\\alpha$'s são independentes entre eles, porém quando colocamos os $\\beta$'s estamos medindo qual é a inteção conjunta dos chimpanzés em cada tratamento.\n", + " \n", + " A variável tratamento (*treatment*) é a construção de uma **variável sintética que indexa** o conjunto de duas variáveis *{prosoc_left, condition}*, isto é, a **interação** entre elas. Então temos que a variável $treatment = 1$ indica que o experimento foi realizado usando dois pratos com comida no lado direito e que não tinha parceiro.\n", + " \n", + " Portando $\\beta_{treatment = 1}$ terá o valor do *efeito de todos os experimentos* que os chimpanzés fizeram nesse tipo de tratamento. " + ] + }, + { + "cell_type": "markdown", + "id": "fdf56906", + "metadata": {}, + "source": [ + "### R Code 11.4" + ] + }, + { + "cell_type": "markdown", + "id": "0956231e", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha $$\n", + "\n", + "$$ \\alpha \\sim Normal(0, \\omega) $$\n", + "\n", + "\n", + "$\\omega = 10$ to start" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "03e2cb48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['pulled_left', 'actor', 'N', 'qty_chimpanzees'])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Creating data list to model\n", + "data_list_partial = df[['pulled_left', 'actor']].to_dict('list')\n", + "data_list_partial['N'] = len(df)\n", + "data_list_partial['qty_chimpanzees'] = len(df.actor.unique())\n", + "\n", + "data_list_partial.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bb1c4a96", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_7jdqpv18/model_vneh7nsw.stan', line 5, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_7jdqpv18/model_vneh7nsw.stan', line 6, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 46% (3700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 66% (5300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.85 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.81 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000132 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.32 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model_partial = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int pulled_left[N];\n", + " int actor[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_chimpanzees] alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0, 10);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori_partial = stan.build(model_partial, data=data_list_partial)\n", + "samples_partial = posteriori_partial.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "957f4268", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]-0.3430.241-0.7050.0620.0040.0033440.02702.01.0
alpha[1]11.2355.2863.74318.5710.1400.1061788.01566.01.0
alpha[2]-0.6450.251-1.047-0.2450.0040.0033976.02309.01.0
alpha[3]-0.6370.244-1.034-0.2590.0040.0033263.02551.01.0
alpha[4]-0.3450.242-0.7000.0550.0040.0033926.02410.01.0
alpha[5]0.5800.2510.1980.9870.0040.0033797.02384.01.0
alpha[6]2.1340.3761.5602.7170.0060.0053644.02528.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] -0.343 0.241 -0.705 0.062 0.004 0.003 3440.0 \n", + "alpha[1] 11.235 5.286 3.743 18.571 0.140 0.106 1788.0 \n", + "alpha[2] -0.645 0.251 -1.047 -0.245 0.004 0.003 3976.0 \n", + "alpha[3] -0.637 0.244 -1.034 -0.259 0.004 0.003 3263.0 \n", + "alpha[4] -0.345 0.242 -0.700 0.055 0.004 0.003 3926.0 \n", + "alpha[5] 0.580 0.251 0.198 0.987 0.004 0.003 3797.0 \n", + "alpha[6] 2.134 0.376 1.560 2.717 0.006 0.005 3644.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2702.0 1.0 \n", + "alpha[1] 1566.0 1.0 \n", + "alpha[2] 2309.0 1.0 \n", + "alpha[3] 2551.0 1.0 \n", + "alpha[4] 2410.0 1.0 \n", + "alpha[5] 2384.0 1.0 \n", + "alpha[6] 2528.0 1.0 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(samples_partial, var_names=['alpha'], hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4a7bf10c", + "metadata": {}, + "outputs": [], + "source": [ + "samples_partial = az.from_pystan(\n", + " posterior_model=posteriori_partial,\n", + " posterior=samples_partial,\n", + " observed_data=['pulled_left', 'actor']\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "c727da7f", + "metadata": {}, + "source": [ + "### R Code 11.5" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "83eb2d03", + "metadata": {}, + "outputs": [], + "source": [ + "# extract prior from quap\n", + "omega = 10\n", + "N = 1000\n", + "\n", + "norm_prior = np.random.normal(0, omega, N)" + ] + }, + { + "cell_type": "markdown", + "id": "7c6f5bfd", + "metadata": {}, + "source": [ + "### R Code 11.6" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "31dbb1b8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "p = inv_logit(norm_prior)\n", + "\n", + "omega = 1.5\n", + "\n", + "better_p = inv_logit( np.random.normal(0, omega, N) ) \n", + "\n", + "az.plot_density([p, better_p],\n", + " data_labels=['a~normal(0, 10)', 'a~normal(0, 1.5)'], \n", + " figsize=(15, 6))\n", + "\n", + "plt.title('')\n", + "plt.xlabel('prior prob pull left')\n", + "plt.ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fc03a480", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_4k2t7wqj/model_2lk2lql7.stan', line 5, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_4k2t7wqj/model_2lk2lql7.stan', line 6, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 61% (4900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 6.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.62 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model_partial_better = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int pulled_left[N];\n", + " int actor[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_chimpanzees] alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0, 1.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori_partial_better = stan.build(model_partial_better, data=data_list_partial)\n", + "samples_partial_better = posteriori_partial_better.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "af2add12", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]-0.3330.232-0.6930.0500.0030.0026592.02975.01.0
alpha[1]3.9370.7342.7675.0840.0100.0085582.02874.01.0
alpha[2]-0.6280.242-0.998-0.2410.0030.0027867.02996.01.0
alpha[3]-0.6240.247-0.984-0.2030.0030.0027082.03107.01.0
alpha[4]-0.3370.236-0.6950.0670.0030.0036557.02961.01.0
alpha[5]0.5590.2490.1590.9500.0030.0026864.03103.01.0
alpha[6]2.0060.3661.4212.5780.0050.0046111.02551.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] -0.333 0.232 -0.693 0.050 0.003 0.002 6592.0 \n", + "alpha[1] 3.937 0.734 2.767 5.084 0.010 0.008 5582.0 \n", + "alpha[2] -0.628 0.242 -0.998 -0.241 0.003 0.002 7867.0 \n", + "alpha[3] -0.624 0.247 -0.984 -0.203 0.003 0.002 7082.0 \n", + "alpha[4] -0.337 0.236 -0.695 0.067 0.003 0.003 6557.0 \n", + "alpha[5] 0.559 0.249 0.159 0.950 0.003 0.002 6864.0 \n", + "alpha[6] 2.006 0.366 1.421 2.578 0.005 0.004 6111.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2975.0 1.0 \n", + "alpha[1] 2874.0 1.0 \n", + "alpha[2] 2996.0 1.0 \n", + "alpha[3] 3107.0 1.0 \n", + "alpha[4] 2961.0 1.0 \n", + "alpha[5] 3103.0 1.0 \n", + "alpha[6] 2551.0 1.0 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(samples_partial_better, var_names=['alpha'], hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3bbfde00", + "metadata": {}, + "outputs": [], + "source": [ + "samples_parcial_better = az.from_pystan(\n", + " posterior=samples_partial_better,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "397534d5", + "metadata": {}, + "source": [ + "### R Code 11.7" + ] + }, + { + "cell_type": "markdown", + "id": "c23e52e3", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{ACTOR[i]} + \\beta_{TREATEMENT[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 0.15) $$\n", + "$$ \\beta_k \\sim Normal(0, 10) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8b290a30", + "metadata": {}, + "outputs": [], + "source": [ + "# quap code to get priori" + ] + }, + { + "cell_type": "markdown", + "id": "cc8d3a1f", + "metadata": {}, + "source": [ + "### R Code 11.8" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "58ae0c25", + "metadata": {}, + "outputs": [], + "source": [ + "p = []\n", + "\n", + "alpha = np.random.normal(0, 1.5, N)\n", + "betas = np.random.normal(0, 10, (4, N))\n", + "\n", + "p = [inv_logit(alpha + beta) for beta in betas]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "987a3928", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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4Ux8L6R3LmwKuUfkjRFeo/HHRG/bE1ZdkqSsAAAAAhdvRndSvNnVny1cub1JDVTjAGlUGQnSFOmJWVLOqvQucpa4AAAAATNSP1nXIX9FKCxsjeuMxDcFWqEIQoiuUmemUBdXZ8tpX6NINAAAAoDAvtSd075a+bPldK2cpMjh7McZEiK5gw8dFs9QVAAAAgEL84MkODaaHo1tiOnNRzZj7I4cQXcFWzq/JLnW1vy+trR0sdQUAAABgbBv3xvVIXk/Wd53cLDNaoQtFiK5g9bGQlrXlL3VFl24AAAAAo3PO6donOrLlk+ZWaeW86tEPwEEI0RUuf5ZuxkUDAAAAGMuTu+Jav2cgW37Xylm0Qk8QIbrCnZI3LnrD3gH1JljqCgAAAMDBnHP68VOd2fLqBTU6Pq9nKwpDiK5wS5qjml3rLXWVcdITO2mNBgAAAHCwp3bHtXFvrhX6yhXNwVWmghGiK5yZDWmNZlw0AAAAgJH8ZFgr9JEtsQBrU7kI0dNA/lJXj70SZ6krAAAAAEOs3zN0LPQVJzUFWJvKRoieBlbOq1bE/5dsj6e1uZ2lrgAAAADk/PTpXCv0qvnVOqaVsdCHihA9DdQOX+qKWboBAAAA+J7dO6Andsaz5bcvpxV6MgjR00T+UlePMS4aAAAAgO+6vFbo5fOqdXwb60JPBiF6msgfF/3svgF1D6QDrA0AAACAcvDC/oEhkw9fcSKt0JNFiJ4mFjVFNacut9TVYzvi4xwBAAAAYLq7bn2uFXpZW5VOmstY6MkiRE8TZqbTFtRmy49s7wuwNgAAAACC9lJ7Qn/YltcKfVKTzCzAGk0PhOhpZPXCoeOiUxmWugIAAABmqp/ntUIf2xrTyfMZCz0VCgrRZnajmb3JzAjdZeykudWqjnjfLPUmnTbkrQMHAAAAYObY3ZPS/S/neqe+9URaoadKoaH4W5LeIel5M/uymR1bxDrhEMXCNuTbpUdeoUs3AAAAMBP9YmOXBjumLm6K6rS81XwwOQWFaOfc75xzV0paJWmLpN+Z2YNm9h4zixazgpiYoeOiWeoKAAAAmGm6BtK644WebPmSZY0K0Qo9ZQrunm1msyVdLen9kp6Q9HV5ofq3RakZDslpC2o0+N9jR3dK2zuTgdYHAAAAQGnd9ly3BtJeM3RLTVjnLakLuEbTS6Fjom+SdJ+kWkkXO+fWOOd+6pz7iKT6YlYQEzOrJqxjWmPZMl26AQAAgJkjkXa6dVN3trzmuAZFw7RCT6VCW6K/65xb5pz7J+fcTkkysypJcs6dWrTa4ZCspks3AAAAMCPdtblHHfGMJKkmYrrw6IaAazT9FBqivzTCfQ9NZUUwdU7LW+pqw94B9QykA6wNAAAAgFLIOKebNnRlyxce3aD6GAssTbXIWA+a2TxJCyTVmNnJUna4baO8rt0oQ0ubo2qrDWtvX1oZJ63dEdd5SxkHAQAAAExnD2/v1yvdKUlS2Lyu3Jh6Y4ZoSW+QN5nYQkn/lnd/t6TPFalOmCQz0+qFNfrVc96MfI9s7yNEAwAAANPcDc/kWqFftaRObXXjxT0cijFfVefctZKuNbPLnHM3lKhOmAKrF9ZmQ/RjO+NKZZwiISYUAAAAAKajDXvienbfQLZ86bLGAGszvY3Xnfsq59wPJS0xs08Mf9w5928jHIYycNLcalVHTPGUU28iow17BrR8XnXQ1QIAAABQBDfmjYVeNb9aS2fFxtgbkzHeKPPBPsD1khpGuKFMxcKmlfNzoZmlrgAAAIDpaVtnUg/nrcpz2Qm0QhfTeN25v+3//GJpqoOptHpBrf6wzfvP9Mj2fr3/lIArBAAAAGDK3bSxS87fPrIlpuVz6YFaTAXNd25m/2JmjWYWNbM7zWyvmV1V7Mphck5bkFvqakd3Sts7kwHWBgAAAMBUa+9P667NPdnypcsaZcZcSMVU6KJhr3fOdUn6I0lbJB0l6VPFqhSmxqyasI5tzY2F+MN2unQDAAAA08ktm7qUynjbc+vCOmcxKxEXW6EherDb95sk/dw511mk+mCKnbEw95/ooW2EaAAAAGC66E9mdNtzuVbotxzfqDAr8hRdoSH6VjN7VtIpku40szZJ8eJVC1PlrLxvojbtS2hfXyrA2gAAAACYKne82KOehNcM3RAL6XVH1Qdco5mhoBDtnPuMpLMkneqcS0rqlfTmYlYMU2NBY1SLm6LZ8uBEYwAAAAAqVyrj9IuNuWWtLjqmQdWRQttIMRljzs49zHHy1ovOP+b/prg+KIIzF9XoZX9SsYe29emPjmV1MgAAAKCS3b+1T3t705KkaEh8xi+hQmfn/oGkf5V0jqTT/NupRawXptCZi3Jdup/eHVf3QDrA2gAAAACYDOecbtyQm6bqgiPqNasmHGCNZpZCW6JPlbTMOefG3RNl58iWmNrqwtrbm1bGeWtGX3Ak4yUAAACASrRuV1yb272epibpkmWNwVZohim00/x6SfOKWREUj5kNaY1mlm4AAACgct2wITcW+oxFNVrQGB1jb0y1QluiWyVtMLNHJA0M3umcW1OUWmHKnbmoVjc/2y1JenxnXPFUhokHAAAAgAqz+UBCT+zMLZR06bKmAGszMxUaor9QzEqg+Ja1VamxKqSugYwSaafHd8SHLH8FAAAAoPzdmNcKvaytSse3VQVYm5mp0CWu7pG0RVLU335U0uNFrBemWDhkOn1hTbZMl24AAACgsuzpTenerb3Z8qWMhQ5EobNzf0DS9ZK+7d+1QNIvilQnFMlZeeOiH9nep2SaeeIAAACASvHLjV3K+B/hFzZGtDqvkQylU+ig2A9LOltSlyQ5556XNKdYlUJxrJhfo5qISZJ6k05P746PcwQAAACActAzkNZvXujJli85vlEhswBrNHMVGqIHnHOJwYKZRSTRjFlhYmHTqQvo0g0AAABUmtue71E85UWw5uqQzj+CJWuDUmiIvsfMPiepxsxeJ+nnkm4pXrVQLGfkden+w7Z+ZVj6GwAAAChribTTLf5KO5K05rhGxcK0Qgel0BD9GUl7JT0t6YOSbpP0+WJVCsVz2mE1GlzZqj2e1rN7B8Y+AAAAAECg7trco/Z4WpJUHTFddDSt0EEqaIkr51zGzH4h6RfOub3FrRKKqTYW0sp5NVq7o1+SdP/LfVo2pzrgWgEAAAAYSTrjhixr9Yaj6lVfFQ6wRhizJdo8XzCzfZI2SdpkZnvN7G9KUz0Uw7mH57p037+1jy7dAAAAQJn6w/Y+7ehOSZLCJr3leJa1Ctp43bk/Lm9W7tOccy3OuRZJp0s628w+XvTaoShOX1Sb7dJ9oD+tjXTpBgAAAMqOc07XP5NrhT5vaZ3a6grqTIwiGi9Ev1PS251zLw3e4ZzbLOkqSe8qZsVQPPWxkFbNz83Sfd9WZukGAAAAys3Tuwf0/P7sIkm6bBmt0OVgvBAddc7tG36nPy46WpwqoRTOXZLr0v3A1j6lM3TpBgAAAMrJ9c90ZrdXL6jR4uZYgLXBoPFCdOIQH0OZO31BraJ5s3RvoEs3AAAAUDY2H0jo8Z3xbPnyE2iFLhfjhegVZtY1wq1b0kmlqCCKozYW0qkLcl2679/aG2BtAAAAAOS7YUOuFXpZWxUr6pSRMUO0cy7snGsc4dbgnKM7d4U75/C67PYDL9OlGwAAACgHu3qSQ+YtuoxW6LIyXks0prHVC2pUFTZJUkc8o/V74uMcAQAAAKDYbtrQrcH2rcVNUZ2W14MUwSNEz2A10aFduu/dwizdAAAAQJA642n97sWebPmyZY0KmQVYIwxHiJ7hzj08b5bul/uUTNOlGwAAAAjKLZu6NeB/Jm+tDetVS+rGOQKlRoie4U5bUKPaqPfNVk8io8d29AdcIwAAAGBm6k9mdOum7mz5Lcc3KhqmFbrcEKJnuKpISGctzrVG//4lZukGAAAAgnDHCz3qSWQkSfWxkN5wVH3ANcJICNHQeXldRB7Z3qde/z8uAAAAgNJIpp1u2tiVLb/pmAbVRIlr5Yh/FeikudVqqQlLkpIZb2w0AAAAgNL53Ys92teXliRVhU0XH9cQcI0wGkI0FA6ZXp3XGn33Frp0AwAAAKWSyjhd/0xntnzh0fVqrg4HWCOMhRANSdL5S3Mh+uldce3rSwVYGwAAAGDm+P1Lvdrd67VCR0PeslYoX4RoSJKWzopqcVNUkuQk3UtrNAAAAFB06YzTz57OtUK//qgGtdRGAqwRxkOIhiTJzHReXms0s3QDAAAAxXfvll7t7PF6gUZC0uUn0Apd7gjRyMofF/1Se1KbDyQCrA0AAAAwvaUzTj9dn2uFvuCIerXV0Qpd7gjRyJpbH9GJc6qy5d++2BNgbQAAAIDp7cFtfdre5bVCh0z64xNpha4EhGgM8bq8Bd3v2dKrZNoFWBsAAABgeso4p5/mjYV+zdI6zauPBlgjFIoQjSHOXlyrmqhJkroGMnp4O2tGAwAAAFPtD9v6taUjKWmwFbop4BqhUIRoDFEdCencw3Njo+nSDQAAAEyt4a3Q5x5eqwWNtEJXCkI0DvK6I3Ndup/YyZrRAAAAwFR68OU+vdjuTeJrkt5GK3RFIUTjIMe1xrSw0ZsVMOOkuzaz3BUAAAAwFdIZpx+u68iWX72kToubY8FVCBNGiMZBzEyvzWuN/u2LPXKOCcYAAACAybr7pd4hM3K/YwWt0JWGEI0RvWZpnULe/GLa2Z3SM3sGgq0QAAAAUOGSaacfP9WRLb/+yHod1sBY6EpDiMaIWmojOvWwmmz59ueZYAwAAACYjDte6NHu3rQkKRqSrjiJVuhKRIjGqC48Otel+/6Xe9UZTwdYGwAAAKByxVMZ/XR9bkbui45pUGtdJMAa4VARojGqUw6r0Zy6sCQplWG5KwAAAOBQ/WpTtw70e41SNRHTW5mRu2IRojGqcMh04dEN2fLtz/cowwRjAAAAwIT0JTK6/pmubHnNcY1qqg4HWCNMBiEaY3rdkfWK+FfJrp6UntgZD7ZCAAAAQIW5aWOXuhMZSVJ9LKRLljUGXCNMBiEaY5pVE9aZi2qz5due6w6wNgAAAEBlae9P6xcbc63Qly1rVH2MGFbJ+NfDuN6Y16X70Vf6tbc3FWBtAAAAgMrx46c61J/yhkTOqg7r4uMaxjkC5Y4QjXGdNLdKi5q89esyTvrNC0wwBgAAAIzn5Y7EkM/OV61oUnWECFbp+BfEuMxMb8xb7ur257uVSDPBGAAAADCW/32iQxn/Y/PhzVG99sj6sQ9ARSBEoyAXHFGvmohJkjriGd2zpTfgGgEAAADla92ufj36Sn+2/N5VsxQOWYA1wlQhRKMgdbGQXndU7puzX27skmO5KwAAAOAgGef0/cc6suWT51dr1fzq4CqEKUWIRsHWHNugwe/OtnQktW4Xy10BAAAAw925uVcvtickSSbpPatmyYxW6OmCEI2CzWuI6oxFNdnyLzay3BUAAACQrzeR0bVPtGfLFxxZpyNmxQKsEaYaIRoT8pbjcwvDr93Rr22dyQBrAwAAAJSXHz/VoY54RpJUEzW9e+WsgGuEqUaIxoQsa6vS0S25b9J++WzXGHsDAAAAM8fWjoRu2ZTrrXnl8mbNqgkHWCMUAyEaE2JmenNea/Rdm3vVGU8HWCMAAAAgeM45ffvRA9klrRY3RfVHxzYEWykUBSEaE3bO4bVqrfW+UUukHa3RAAAAmPEeeLlPT+0eyJb/5NRZirCk1bREiMaERUKmS/Jao2/d1K2eRCbAGgEAAADB6U1k9J21ucnEzl5cq5Xza8Y4ApWMEI1D8oaj69VU5V0+fUmnWzfRGg0AAICZ6f+e7NCBfm+IY1XY9L5TmExsOiNE45BUR0JDZur+5cZu9SdpjQYAAMDMsnHvgG57LjeZ2FUrmjWnLhJgjVBshGgcsjcd06C6mHcJdScy+vXzrBsNAACAmSOVcfrGw/vlzyWmI1tiWnMck4lNd4RoHLLaWEhr8mYcvHFDlwZStEYDAABgZrhpQ5e2diQlSSGTPnJ6i8JMJjbtEaIxKWuOa1BNxHuj6Ihn9JsXegKuEQAAAFB82zuT+snTndnyxcc26KjZVQHWCKVCiMakNFSFddExudbon63vZGw0AAAAprV0xulrD+1TIu115G6rDeuqFc3BVgolQ4jGpF26rFE10Vxr9M3PMjYaAAAA09eNG7q0aV8iW/7IGbNVEyVazRT8S2PSmqrDujRvpu4bNnSqayAdYI0AAACA4tjSkdCPnurIli88ul6rDmNN6JmEEI0p8ebjG4esG339M6wbDQAAgOkllXH62gP7NTiX7ty6sN67ijWhZxpCNKZEbTSkt57UlC3fuqlb+/pSAdYIAAAAmFo/eapDL7bnunH/+ZmtqqUb94zDvzimzEVHN6itLixJSqSdrnuqc5wjAAAAgMqwble/frY+19vy4mMbtHxedYA1QlAI0Zgy0bDpyuXN2fIdL/bopbxv6gAAAIBK1BlP66sP7Jfzy0uao7r65OYgq4QAEaIxpc5fWqclzVFJUsZJ31l7QM65cY4CAAAAypNzTv/+0H4d6Pcmzq0Kmz59TquqIkSpmYp/eUypcMj0J6e2ZMtP7x7QAy/3BVgjAAAA4NDdvKlbj77Sny1/4NRZWtwcC7BGCBohGlNu+bxqnbW4Nlv+/uPtGhicwhAAAACoEBv2xPX9x9qz5bMW1+oNR9UHWCOUA0I0iuJ9q2YpFjZJ0p7etG7cwJJXAAAAqBwH+lL6p3v3Ke2PTJxTF9ZHT2+RmQVbMQSOEI2imFsf0aXLGrPl65/p0u4elrwCAABA+Uumnb583z61x71x0LGw6XOvalN9VTjgmqEcEKJRNJef0KjWWu+NZiDt9M2H9zPJGAAAAMre9x5r14a9A9nyh09v0VGzqwKsEcoJIRpFUx0JDZlk7PGdcd31Um+ANQIAAADGdttz3frVc93Z8h8d26ALjmAcNHII0SiqsxbXDplk7Ltr29XuLw8AAAAAlJPHdvTrvx89kC0va6vS+1bNCrBGKEeEaBTdh05rUV3Mu9R6Ehl9Z+2BcY4AAAAASmtLR0Jfvm+vMv7ow7l1YX3u1W2KhplIDEMRolF0s2rC+sApuW/w7tvapwdZOxoAAABlor0/rS/+fo/6k16Croua/vb8OWquZiIxHIwQjZK44Ig6nTy/Olv+xsP7tb+P2boBAAAQrJ6BtP76zt3a2+sNOQyZ9NlXtWlxcyzgmqFcEaJREmamPzt9tmqiXneYroGM/u3B/cowWzcAAAACEk9l9MW792pLRzJ735+ubtHK+TUB1grljhCNkplbH9Gfrs7N1r1uV1w3bugKsEYAAACYqZJpp3+8Z6825i1ldeXyJl14dEOAtUIlIESjpM5fWq/zl9Zlyz94skOb9g2McQQAAAAwtVIZp688sE+P74xn73vzcQ264qSmAGuFSkGIRsl9aHWL5tVHJElpJ33l/n3qHmDZKwAAABRfMu305fv2Dpno9rVH1Ol9p8ySGTNxY3yEaJRcbTSkT53TqsHVAnb1pPQv9+9TOsP4aAAAABRPMu30T/fu1R+29WfvO2txrT5yxmyFCNAoECEagTi2tUrvzVu4/omdcV37ZEdwFQIAAMC0Fk9l9KV79uiRV3IB+tzDa/Xpc1oVDhGgUThCNAKz5riGIeOjb9zQpXte6g2wRgAAAJiOugbS+vzv9uixHbkx0K9eUqtPnt2qCAEaE0SIRmC8Za9adHRLbg2+//jDfiYaAwAAwJTZ05vSX96xW8/mfca84Ig6feIsWqBxaAjRCFRVJKTPvbpNzdXepTiQdvri7/doe2dynCMBAACAsW1pT+hTv9mlbXmfLd98XIP+/MzZBGgcMkI0AtdWF9HnXtWmmD/TWNdARn99127t60sFXDMAAABUqoe29emTv9ml/X25VWDeu6pZHzi1hUnEMCmEaJSFZXOq9elzWjX4heDe3rT+9q496klkgq0YAAAAKopzTtc93aF/uGev4ilv9ZewSZ84a7YuXcY60Jg8QjTKxhmLavXh1S3Z8taOpP7mzt0EaQAAABSkL5HRP9+3Tz9c15m9ryEW0t9fMFevOaI+wJphOiFEo6y84egGvWtlc7b83P6E/up3u9U1kB79IAAAAMx4mw8k9Oe/3qn7X+7L3re4Kap/e+M8LZ9XHWDNMN0QolF2/viERl1+QmO2/OKBhD73293qjBOkAQAAMJRzTr9+rlt/cftO7ezOzalz2oIa/esb5ml+QzTA2mE6IkSj7JiZ3r2yWVeclBuzsqUjqc/8drf29DDZGAAAADzt/Wn93d179c1HDijpjwAMmXT1yc366/PaVBsj7mDqcVWhLJmZrlrRrCuX54L0ts6kPnH7Tj2/n3WkAQAAZrr7t/bqw7fu0KOv9Gfvm10b1pdfN1eXn9DEDNwomkjQFQDG8vblzaqKmL7/eIckqSOe0Wfu2K1PndOqMxbVBls5AAAAlNyBvpS+vbZdD+SNfZakMxbW6CNnzFZTdTigmmGmIESj7F26rEmttRF97cF9SmakgbTTP9yzV1euaNJbT+RbRgAAgJkg45xuf75H1zzRrr6ky95fGzV98LQWvWZpnYzPhSgBQjQqwquW1Gl2bVhfunuvuhMZOUk/XNepjXsH9Bdnt6qxim8cAQAApqvn9g3o22sPaNO+xJD7V86r1kfPnK05dcQalA5jolExTphTrX+9cJ4WNubeJB/bEdef37ZTG/cyThoAAGC62d+X0tce3KdP3L5rSIBurArpE2fN1t9fMIcAjZLjikNFWdAY1dfeOF//+Yf9unerNw5mb29af3nHLl26rFFXLm9WNEw3HgAAgErWk8jopg1d+uWzXYqn3JDHXntknd67ahY9EREYQjQqTk00pE+d06oT5vTou48dUCojZZx0/TNdemR7vz5+1mwdPbsq6GoCAABggvqTGd2yqVs3bOhSbyIz5LFjZsf0J6e26Lg2PuchWIRoVCQz05uObdCxrTH924P79XJnUpL0cmdSf3H7Ll14dL2uWtHMN5QAAAAVIJ7K6Pbne/Tz9Z3qHBganltqwnr3yc06f2kdE8qiLBCiUdGOml2lr180Xz96qkM3buhSxnmt0rc916P7tvTpnSub9Yaj6hUO8YYLAABQbroG0rp1U7du3dStrmHhubEqpMtPaNRFxzSoOsJUTigfhGhUvGjYdPXJs3TGwlp94+H92tLhtUp3JzL61iMH9MuNXXrHimade3gt314CAACUgT09Kd20sUt3vNCjgfTQMc+1UdMlxzfqzcc1qjZGeEb5IURj2jiuzWuVvv35Hv1gXYd6/HE0r3Sn9JX79+nn66O64qQmnbmolpZpAACAALx4IKEbN3Tqvq19ygzNzqqLesP1Ljm+UQ0MyUMZI0RjWgmHvDffcw6v1Y+f6tBvXuhRyu8ZtKUjqS/ft09z68Jac3yjXndkvWqjfLsJAABQTM45Pb4zrhs3dGndrvhBj7fUhPWW4xt04VENtDyjIhCiMS01VYf1odWzdcmyRl33VKfueqk3+23n7t60vru2XT9e16ELj27Qxcc2qJX1BQEAAKZUKuN075Ze3bihKzvcLt/CxoguXdak85fWsUQpKgrJAdPavPqoPnZWqy47oUk3bujU71/qzbZM9yadbtjQpZs2dunsxbV6+0lNWtwcC7bCAAAAFSzjnJ7dO6D7tvbp/q19ao+nD9rnhDlVunRZo05bUMN8NahIhGjMCIuaovrzM1v1rpWz9KvnunXbc7kZIDNOum9rnx58uU9rjmvU209qoisRAABAgRJpp6d2xfXIK316eHu/9vcdHJxDJp25qFaXLmvUsa2s84zKRojGjDKrJqyrVjTr8hMaddfmXt38bJe2d6UkSWkn3bSxS3e/1KtLljXq1MOqtagpKuMbUgAAgCH29Kb05M5+PbK9X0/sjB80w/agqrDptUfW6S3HN2p+Q7TEtQSKgxCNGak6EtJFxzTowqPrtfaVfn3/8fZsmG6Pp/X9x9v1/cel1tqwVs6r1jGtVTpmdkxLZsUUYWZvAAAww3TE03pqV1xP7Ypr3a64dvakRt03EpJWza/RuYfXavXCWtXRww/TDCEaM1rITKsX1urk+TW6+dku/eTpTsVTuW9S9/Wl9bvNvfrd5l5JUixsOrIlpqNnx7R0VkxLm6Na1BRVVYQ/DgAAYProHkjrmT0DWrcrrqd2x7V1hInB8tXHQjrlsGqtXlCrUxbUqJ7gjGmMEA1IioZNl53QpPOW1umOF3r0+M64Nu0bOGj9wkTaaePeAW3cO5C9L2TSgsaoljRHs8F66ayYZteG6QoOAADKXjrjtKUjqU37BvTsvgE9t28g20NvLEuaozp5fo1WL6zRsrYqhemthxmCEA3kmV0b0duXN+vty6WeREbrdvXr2b0JPbd/QC/sT4w43ifjpG2dSW3rTOq+rX3Z+2uipoWNUS1s9Fqrve2I5jdEWcYBAAAEwjmn3b0pvXggoU37Enpu34CeH+UzznDzGyJaMbday+d5t+bqcAlqDJQfQjQwivpYSGcvrtPZi+sked/SvtzpfUv7UntCL7Un9VJHQv3Jkf/o9Cednt+f0PP7E0PuD5nUVhfR/PqI5jd4ofqwhojmNUQ0rz6iarqGAwCAKZDKOG3rTGrzgYQ2tyf04oGEXmpPqHeUzy7DtdaGtXxetVbMrdZJ86o1p47oAEiEaKBg4ZB53bVn5daSHvw2d0t70gvWHd7PXd0pjfbnKeOk3T0p7e5J6cldBz8+uzas+fURHdYQ1byGiA7zg/b8+ghLbwEAgIMk0k6vdCWzPeNe9n/u6E4qlSnsOarCpqNmx3Ts7Cod2+b9bCU0AyPifwYwCWamefVRzauP6oxFtdn746mMdnSntL0zqe1dyezPV7pS43aX2t+X1v6+tNbvGTjosebqkObVRzU/P1z7LdiNVSHGYAMAME2lM057elPa2Z3Srh7v545uLyzv6kkdNI/LWEImLWyM6siWmI5vYwUSYKII0UARVEdCOmJWTEfktVpLUsY57etLa5f/h29nd0o7e1La6W/nzww+ko54Rh1xb9KPg89pmlMX0dx6/5a/XR9hlkwAAMpYPJXR3t609vWl8n6mtK8vrZ3dKe3pnVhQHlQVNi2ZFdURs2I6ssXrUbekmZVFgMkgRAMlFDIv6M6pi2j5vOohjznn1BHPaEd30g/ZuXC9oyel3sTY/bHiKW/M9sudIy9BURcLaW5deEiwzg/ajMUGAGBqOefUn3Rqj6fVGU/7X4ans7fBsLyvN63ucf7Oj6c6YlrUGNWi5qgWN3mTmi5uimpOXYRZs4EpRogGyoSZaVZNWLNqwjphzsGPdw+k/WDthevB7V09SXXEx//D25vIaHMio83tI4fspqqQ5tRH1FYb0ezasNrqwmqtjai1NqzWuohm14T5IwwAmFFSGad4MqN4yqk/5TSQyqg/5RRPOfUmMupJZLI/exJp9SacehJp9SQy6k5k1NGfVnJy2XiIsElz/YlJB4d3LfIDc2ttWCGGdQElQYgGKkRDVVjHVoV1bGvVQY/FUxnt8Scr29Wb0p6edHbyst29KfUU8O1250BGnQMHzyY+KGRSc/XQcD27NqxZ1eFs+J9VE1ZDjLHZAIDROeeUzEjJtFMy45RKO6Uy3n3pzMHbqYz8n2Ntj/FYWko771xp//5k2intpJRfh8HtwWOTGad4KlPwpFxTpSps2S+v22rDaqvz/t7OrfdW8WirpVUZKAeEaGAaqI6EtLg5psXNsREf701ksoE6G67zyuONxZa8WcUP9Kd1oD+tTRo5aEtSJOSF7Vk1uYDdXB1SfSysxqqQ6qtCaoiF1FAVVkNVSPWxEBOZAEAZSaadehIZxVNeC2w8lVF/0mW34ymn/uTgY079qYziSX+/lNNAymUDcjLtlMgMLZc6mJaDWNjUXB1SU3VYzdXe38Xm6rBm13phubUuorY6vogGKgUhGpgB6mIhHdES0xEtB4ds55y6BryQvdcfl7WvLzexyf6+lPb3pwuezCSVkX98uuD61UZNDbGQ6mIhVUdCqoma9zNiqo6GVB0xVUdMNRF/27+vKmyKhAZvUiRsioZM4ZAUCXnbEb8sSSav27z30ytLXis7H1oATCfOeQG3O5FRz0DG716cVvfg9kAm+9jw+8dbRWImCpn8v0UhVfl/k+qi3hfB9f7fr5G2m2u80FwTMf7OANMIIRqY4cxMTdVhNVWHdYwO7ioueV3q2vtz4XpfX1p7e1Nq70+rPZ72fvan1Zs8tA9efUmnvmRa6i08eBdLfsAe7fNO/t35H4pG+3iU/zxD9hnl/qH7jPz8+dsh89Yxj4SksOW+RMjfDpmyXyiEzYZtS6ERj/cmwxt8/pBfDof8cw57LFf298s7fqTXstCPk05eTwjv5pRxksvb9sr+tqRMxo14zOC2G/5cGv5cYxyj0c6vob973muZ/zoNviaRkBQNe18EDf6MRUyxcEixsBQLh7z7wqbqqKk2ElJ11BjvOANlnFNf0qlnwJt4aqzwOzgOt3vAG5NbKS2+IZP/pefge5kpOmQ7974UCZsi/vtZ/heoETNFwv79/nbYvP9fg887/ByR0LDnCQ39YrbGD8w10ZCiIb5sBZBDiAYwrnDI1FoXUWtdRBolaEvSQCqjjnhGB/xQ3RH3un93DeQ+6HUNZLIfBvsOMXQXk5MXiLKFgo4opvJ7jRCcbK+MaEi1fq+NmqjXa6PG76FRGw15j0dNdbGQav3tmmhIdVGvXB0xxlWWWDrj1Jf03wOzYTjth2G/PHhfXijuSWQOaVmjqRALD/YCyu8V5PcS8r/YyfYQyrsGq/wvhKL+l0XRkBdmY3nb0SG9h7gWAVQWQjSAKVMVCWlufUhz6wt7a0llXO7D5EBavYmM4ml/3F1ycAbUwbF4eePv/MeS6YMnlMlNUkP8xPQz+H+gkBn5x1MTMdXmheza6EjbfjkWOujxuujMaR1Ppr0A3Jf03o9G2u5LemODs9tJPwT7Ibk3kQnkPSlkUn3Mm4vCm5MiNx9FQ9Xo99dFQ4RbABgFIRpAYCIh8ydYCUuKTvnzD87smvYDtZMkl+vqK+Vanp1/f7ac/0TDPvm6IdtuxAeGf1gecswon6SH3z/aB26Xt+Pg75L2v0hIu9zss2n//rTzH8u7L7fv0MdSGadMRkr5z5Nx3v2ZvHLGybsvc/BjaZerj7efG7EVbbTX4KD95I9ZV65btOV1Ex+pHPLHvYdCUkj5xww/boRj/G7puf39x0Y6Xuafw3su5/Jf86GvQTrv3ybj/3sk0i57G0g7JfwvhgbSmdz9fmguRvjqTzn1p9Lar8kNo6jJC9U10VxrY8zvqh4Nm2KhvG3/FgkNbivbOpl9rSXJcq/t4BCLwUw3GNyz19zga573Wmcy+WXv32Ng8DVPDW5nhrz+2e107gu7vmR5dIuOhKTGqvC44bchNrjt7VszQ77oAIBSIkQDmLbCdBPENOCcF+wGWz0He2L0+y2hXutnbrbk/ryW0Vwraa481V2D+5NO/cnJh/GZoipsw0JvWPVVIW/1glhu9YJ6PyQ3+j+rwkxMBQDlghANAEAZMzN/zKk0qyY8qecaDOR9ieEhe1jgTozxWJHCeCWoClt2HHqtPxY928095o0Pzu/yXhMNZZf288JwWLEwQRgAKh0hGgCAGSIXyENqmcTzjBXGh6wL7HeNTmb8n3nl7HZa2f0HZ0LPH1aRHWoxwv2FzISe/3hVXpdyb/Iry82E7per8h6vy5ukrSbKmvYAAA8hGgAATMhUhXEAACpRKOgKAAAAAABQKQjRAAAAAAAUiBANAAAAAECBCNEAAAAAABSIicUAAAiAc067du1ST0+P6uvrNW/ePNYBBgCgAhCiAQAoob6+Pt1888269kfXaf+BA4rVNirR26XZs1v07iuv0Jo1a1RbWxt0NQEAwCgI0QAAlMiePXv0ng/8P3VFWxQ7471qW7xcZibnnOJb1+mb19+iH/zkZ7rme99WW1tb0NUFAAAjYEw0AAAl0NfXp/d84P+pZ8FqNb7586o5fEW2+7aZqWbJSjW++fPqWbBa7/nAB9XX1xdwjQEAwEgI0QAAlMDNN9+s7miL6s+8YtSxz2am+jOvUGekRbfcckuJawgAAApBiAYAoMicc7r2R9cpevKacScPMzPFVl6sa350nZxzJaohAAAoFCEaAIAi27Vrl/YfOKDqxcsL2r/68BXav2+/du/eXeSaAQCAiSJEAwBQZD09PYrVNha8hJWZKVrXqJ6eniLXDAAATBQhGgCAIquvr1eir6vg7tnOOSV7u1RfX1/kmgEAgIkiRAMAUGTz5s3T7JYWxV9+qqD941vXaXbrbM2dO7fINQMAABNFiAYAoMjMTO++8golnrh53NZo55wST96iq68cfRZvAAAQnEjQFQAAYCZYs2aNfvCTn6nnoetGXebKOaeeh65TU+qALr744gBqCQDA1KuOmH7+tkVDypXMirF8xvr168t+TQ7nnOKpXDWrI8Y3/gCAotq7d6+ufv8H1RVtUWzlxao+fIXMzPubtHWdEk/eoqbUAf3vd7+ttra2oKsLAMCMdeKJJ44aDmdsiAYAIAh9fX265ZZbdM0Pf6L9+w8oWteoZG+XZrfO1tVXXqGLL75YtbW1QVcTAIAZjRANAECZcc5p9+7d6unpUX19vebOnUuPKAAAysRYIZox0QAABMDMNG/evKCrAQAAJojZuQEAAAAAKBAhGgAAAACAAhGiAQAAAAAoECEaAAAAAIACEaIBAAAAACgQIRoAAAAAgAIRogEAAAAAKBAhGgAAAACAAhGiAQAAAAAokDnnpv5JzW6X1DrlTzz1WiXtC7oSwARwzaLScM2i0nDNotJwzaLSVMo1u885d+FIDxQlRFcKM1vrnDs16HoAheKaRaXhmkWl4ZpFpeGaRaWZDtcs3bkBAAAAACgQIRoAAAAAgALN9BD9naArAEwQ1ywqDdcsKg3XLCoN1ywqTcVfszN6TDQAAAAAABMx01uiAQAAAAAoGCEaAAAAAIACVWyINrMWM/trM3vczNrNrNfMNpnZN8zs+Ck+1+vN7Gdm9rKZxc1sl5ndZWbvN7PwVJ4L01exr1kzqzKzi8zsq2Z2n5ntMbOEmXWZ2UYz+x8zO2cqfhfMDKV8nx3h3Leamcu7nVfM82F6KPU1a2arzOxrZva0mR3wPyNs89+D/8HMVk31OTG9lOqaNbM2M/usmd1jZnvNLGlmPWb2nJn9wMxeP1XnwvRjZo1m9moz+wsz+4l/3WTy/kYvKcI5Tzez/zWzzWbW71+3D5rZJ8ysZqrPN+H6VeKYaDM7S9INkuaNssuApI855/57kucJS/qupPeMsdsjktY453ZP5lyY3op9zZrZckn3S2ooYPefSnqvc67vUM6FmaFU77OjnPudkv5v2N3nO+funupzYfoo5TVrZtWS/kPS+yXZGLte65y7erLnw/RUws+zF0u6VtKscXb9paR38PkAw5nZE5JWjrHLUufclik8399L+pxGb/B9Tl7+2jRV55yoimuJNrOjJN0q7w0nI+kbkl4j6SxJfympXVKVpG+Z2WWTPN2/KxegN0q6WtJqSW+WdLt//2pJt5pZ1STPhWmqRNdso3IB+glJfy/pTZJOlXSuvDeiPf7jb5N0g5mN9cEPM1iJ32eHn3uevPdeSeLLSRSklNes3wJyi6QPyAvQd0v6oLz32lWSXifp05IekJSezLkwfZXqmvV7Q9ygXID+jaQrJJ0u6Q2S/sY/l+R9vh3+BSYgDf2ysFPe+96uopzI7C8kfV5eTt0u6cPyrtcLJf3Y3+0YSb82s9nFqENBnHMVdZP3huP829UjPH6ipF7/8Z2S6g7xPKfJe1Nzkp6W1DDscZN0TV5dPhH0a8OtPG+luGbl/dG9QdLJY+wzT9LzeXV5W9CvDbfyvJXqfXaUc9/oP++vhr3Hnhf068KtfG+lvGbltUA7SUlJ7xln31jQrw238ryV8PPsL/LO8/ej7LNQ3hftg/utCPr14VZeN0kflfR2SUcr15P57rxrZskUnWehpP68637+CPv8Xd55/yOo16SiWqLN7ER5rWuSdLdz7prh+zjn1kv6il+cJ6/1+FD8pXLfuvyZc6572HmcvAtq8P5Pm1lFvZ4ovlJds865B51zlznnnhhjn12S/iLvrrdN9DyY/kr8Pjv83G+TdImkHkkfmornxPRXymvWzE6R9Gd+8R+dc/871v7OucShnAfTW4nfZ8/1fyYkfXmkHZxz2yV9b4RjAEmSc+4/nHM/cc4972egYvmYpGp/+zPOuZ0j7PNFSS/62x80s/GGKRRFpYW+y/O2vzfqXtL/jHJMQcysVtIb/eILzrl7RtrPOdcl6ed+ca5408HBSnLNTsBdedvHFPE8qFyBXLNm1iavO6Mkfc459/JknxMzRimv2Y/I+4K9R7mAA0xUKa/ZwaFe+5xzvWPst2WEY4BSGxy60CNvDp+DOOfS8sb4S1JM0poS1OsglRaiX5W3ffdoOznntin3DcVZZhaZ4HlOlVQ73nl8v8/bfvUEz4Ppr1TXbKFieduM1cNIgrpm/1NSq6SHJH1zks+FmaUk16y//2CQ+Z1zrse/38xsrpkdZWaNE3lOzFilfJ99zv/ZamZ1Y+x3+AjHACVjZoslLfGLf3DOxcfYPfD8VWkh+gT/Z5dz7pVx9t3g/4xJOuoQz5P/POOdR5KWTfA8mP5Kdc0W6vwRzgfkK/k1a2aXyBtekJD0fudc5lCfCzNSqa7Z5ZIGQ8iTZlZjZl+S9Iq8CXael9RpZuvN7ONMOIoxlPJ99tt5x39mpB3MbIG8ifIkaZu8OSmAUquo/FUxIdr/YzTHL24r4JD8fRZP8HT5+493rsmcB9NYia/ZQuoTlvTZvLt+PNq+mJmCuGb9sUzf8ov/6Jzjyx0UrMTX7Il5207So5L+StL8YfudIOnfJN3rD1MAsgJ4n/2mpP/ytz9vZr82s7eZ2Woze52ZfV7eBLpt8mZCXjNOCyBQLAXnL+fcAUmDS7EFkr8qJkRr6PiMngL2z99nomM7JnKuyZwH01spr9lC/JWkU/zte51ztxThHKhsQVyzX5c3ac4GSf90iM+BmauU12xL3vZn5YXlP0i6QF4LdYOkiySt8/dZLemnLCeIYUr6Puucyzjn/lTeXD+/l7dM0HWSHpZ0h7wlMUPylhQ62Tn35ETPAUyRQ/2/EUj+qqQQXZO3XchslwOjHDvV55rMeTC9lfKaHZOZXSrpC36xXdI7p/L5MW2U9Jo1szfJuxYzkt7HTMY4BKW8ZuvztqvlBejznHN3Oef6nHM9zrlfy5tkdKO/3/ny1t4FBpX8s4GZLZX0XnnLYY6kSdKVyk3qBAThUP9vBJK/KilE53ctiY26V07+WKT+Ip5rMufB9FbKa3ZUZnaepB/Jm1F2QNLlzHyMUZTsmjWzJuXG6n3TOfeHiRwP+IL6bCBJn3TODQzfyV8S83N5d105wfNgeivpZwMzO0vSWkl/LO8zwCclHemfu1nSayX9TtLxkv7bzK6l9wQCcqj/NwLJX5UUovPXaa4fda+R9+keda/Jn2sy58H0VsprdkT+H89b5LWaJCRd5py7a+yjMIOV8pr9qqQFkl7W0MABTERQnw06JD04xr6/kZTyt1dP8DyY3kp2zZpZTF7X7RZ5AeVVzrmvOuc2O+eSzrlO59ydkl4v6Wf+Ye9SbpIxoJQO9f9GIPmrWMvoTDnnXNzM9sqb+GBhAYcsytueaKtb/v6LRt1r8ufBNFbia/YgZrZa0q/lvcmkJF3hnGPGTYyqVNesmR0m6X1+8TeS/miUho+leduvMbN5/vbtzrmOQs+H6avE77Nb87a3OefcGPXqN7N98sb7zxltP8w8Jb5mL8w7/kfOuXUj7eScc2b2KUlv9e/6oKTvTPBcwGQVnL/MrEW55YgDyV8VE6J9z0g6T1KTmS0YZ1mAwenOE5JeOITzDH+e8c4jsWQQDlaqa3YIMztFXjhplLce9DucczdN5jkxY5Tims3vpvUBFdbq8dd52ydLenIC58P0Vqr32fV52+EC9h/cJzXmXpiJSnXN5n9GXTvWjs65l81sj7wvfViyFUGoqPxVSd25JemevO3zRtvJzBbJG+8hSQ855yb6B+xR5frXj3oeX/66u/dO8DyY/kp1zeY/10pJv5U31ikt6Z3OuZ8f6vNhxin5NQtMUkmuWefcduVCzBIzG7UhwsyaJbX6xfHWAcbMU6r32fz9owXsP7hPcoLnASbNObdVuR4/Z/jLwY0m8PxVaSH6hrzt94+x3/vytq+f6Emcc33yusFK0lFm9uqR9jOzRkmX+8U9ku6b6Lkw7ZXkmh1kZifJmyBklrwZj9/tnPvJoT4fZqSiX7POuS3OORvvJunavMPOz3vsyYmcD9NeKd9nB8eN1kr6ozH2u1zeZI6SdPchngvTV6mu2Rfzts8ba0czWyHvs4MkbT6EcwFTYfD/Rr2kK0bawczCkt7tF5OSbi5BvQ5SUSHaOfe0pNv84nlmdvXwfczsBEmf8ou7JV0zwj7XmJnzbwc9h++f87b/08yGrEHmz1z4H/K6y0rSV5xz6QJ/FcwQpbxmzWyZpDslzZYXoN/jnPvRZH8HzCwlfp8FJq3E1+zXlZvE5qtmdtB4ZzM7XNI/DFZP0jcL+00wU5Twmr1TubV0LzGzNSPVx8zqNPQ6/cX4vwUwMWb2hbzr9Quj7Pbvys3S/U9mNn+Eff5GuR4a33HOHZjamham0sZES9LH5a1z1yzpf8xslaQb5b3g50r6rLxviJ2kjzrnClms+yDOuUfM7FuS/lTSSZIeNrMvy+t3P1/Sh+QtXC9Jj0v6xqH+Qpj2in7NmtkR8v5Ytvl3fU3S42Z24ljHOefWj/U4ZqySvM8CU6hUnw32mNknJH1X0hGSHjOzr8hbMzok6RxJn1buvfif/cAEDFf0a9Y512VmfytvNQSTdJOZXSvpJknb5a2ve5qkjygXSrbJ+wwBZJnZUfLe3/LNy9u+3J9McdAu59ztEz2Pc26bmf2NpH+Rl7ceMbN/lPSYvP8r71Ju2cCtkr4w0XNMGedcxd3k/SPukvfGMtJtQNKHxzj+mrx9rx5jv7C87oSjncfJGz89L+jXhFt534p9zUq6epzrdMRb0K8Lt/K9lep9dpw65D/HeUG/JtzK+1bKa1bSx/znG+1cGXk92kJBvy7cyvdWws+zfyOv2+t4nwuelnRM0K8Lt/K7HcLnzLtHeI4v5D3+hXHO90/+++hoz/+8pOODfE0qqjv3IOfc/ZJOkPeP8aSkTnkTgb0g6b8kneycm3T3Kedc2jn3bnktzjfI+9YuIWmvvDFOH5R0pnNu12TPhemtVNcsMFW4ZlFpSnnNOuf+XdJKSf8paZO8LrOD5/qepFOcc3/pnMtMxfkwPZXw8+zf+ef5F0kPSzogb9KxPklb5LWAXylplXPuucmeD5gs59xnJZ0t6f/kXaMD8q7bP0j6pKQVzrmNgVVQkvlpHwAAAAAAjKMiW6IBAAAAAAgCIRoAAAAAgAIRogEAAAAAKBAhGgAAAACAAhGiAQAAAAAoECEaAAAAAIACEaIBAAAAACgQIRoAAAAAgAIRogEAAAAAKBAhGgBQsczs78zstVP4fD3+z8PM7Pq8+39iZk+Z2cfN7Dgze9LMnjCzI0c6fgLne4uZLZua2h86M/uYmdWW6/MFfR4AAPKZcy7oOgAAMGFmFnbOpafyGDPrcc7VD7tvnqT7nXNH+eXPSIo4575UyPHj1OcaSbc6564fb99iMrMtkk51zu0b4bFDeZ1Hfb6pVKrzAACQj5ZoAEBZMbMlZvasmf3IzDaa2fWDrY1mtsXM/tnMHpf0x2Z2jZld7j92gd86/LSZfd/MqkY6Zti5lprZQ/4xXxpWh/V+8Q5JC/zW57+V9DFJHzKz349S/6+Z2TNmdqeZtfn3HWlmt5vZY2Z2n9+afZakNZK+4j/36Wb2mL//CjNzZrbYL79oZrVm1mZmN5jZo/7tbP/xOv93fsR/Dd7s33+1md3on/t5M/uXEer7UUmHSfr94O9kZj1m9lUzWyfpTDO7yn/uJ83s22YW9vf7LzNb6/++Xxzn+b7i7/c7M1ttZneb2WYzW+PvE/b3edRv9f+gf/95/r7X510XNvw8/vHXmNl6/9/z4+NfbQAATBwhGgBQjo6V9C3n3PGSuiT9ad5j+51zq5xz1w3eYWbVkq6R9Dbn3EmSIpI+NNYxvq9L+i//mJ2j1GWNpBedcyudc1+U9N+SvuacO3+EfeskrXXOnSDpHkl/69//HUkfcc6dIumT/u/2oKSbJX3Kf+6HJVWbWaOkcyWtlXSumR0uaY9zrs+v79ecc6dJukzS9/zn/ytJdznnVks6X14wr/MfWynpbZJOkvQ2M1uUX2Hn3H9I2iHp/LzfqU7Sw865FZL2+8ef7ZxbKSkt6crB8zrnTpW0XNKrzWz5GM93l/+6dEv6kqTXSbpE0t/5+7xPUqf/u50m6QNmttR/7GR5X14sk3SEX5fh51kpaYFz7kT/3/N/R/j3AQBg0iJBVwAAgBFsc8494G//UNJHJf2rX/7pCPsfK+kl59xzfvlaSR+W9O9jHCNJZ8sLo5L0A0n/PIk6S1Im71w/lHSjmdVLOkvSz81scL+qUY5/0K/TqyT9o6QLJZmk+/zHXytpWd7zNPrP/3pJa8zsk/791ZIW+9t3Ouc6JcnMNkg6XNK2cX6PtKQb/O0LJJ0i6VH/vDWS9viPvdXM/kTe54n58kLuUyM8X0LS7f7205IGnHNJM3ta0hL//tdLWj7Ys0BSk6Sj/WMfcc5t93+HJ/1j7h92js2SjjCz/5T0K3k9CAAAmHKEaABAORo+YUd+ufcQnm+sY4o5OYiT1+urw2/FHc+98lqhD5f0S0l/6T/Hr/zHQ5LOcM7F8w8yL91e5pzbNOz+0yUN5N2VVmF/++N546BN0rXOuc8Oe+6l8lrVT3POtZs3vrt6lOdLutwkLJnBOjnnMmY2WB+T11r/m2HnOa+Q38GvwwpJb5D0/yS9VdJ7x/9VAQCYGLpzAwDK0WIzO9PffocObnUcbpOkJWZ2lF9+p7zu1ON5QNIV/vaVY+1YoJCkwZbUd8ibkKxL0ktm9seSF3j9sCd5XZsb8o6/T9JVkp53zmUkHZB0kXK//x2SPjK4s5mt9Dd/I+kjfpiWmZ08wXoPr0e+OyVdbmZz/Odu8buYN8r7cqLTzOZKemOBzzea38gbax71z3NMXpf0cettZq2SQs65GyR9XtKqCZ4fAICCEKIBAOVok6QPm9lGSbMk/ddYO/sts++R12X6aXmtnf9dwHn+3D/P05IWTK7KkrxQudq8Scleo9x43yslvc+fqOsZSW/2779O0qf8ycCOdM5tkdcie6//+P3yWrHb/fJHJZ3qT7y1QV6LqyT9vaSopKfM7Bm/PBHfkXS7jTBZmnNug7xQeoeZPSXpt5LmO+fWSXpC0rOSfizvC4lxn28M35O0QdLj/uv3bY3fap5/ngWS7va7e/9Q0mfHOhAAgEPFElcAgLJiZkvkLft0YtB1AQAAGI6WaAAAAAAACkRLNAAAAAAABaIlGgAAAACAAhGiAQAAAAAoECEaAAAAAIACEaIBAAAAACgQIRoAAAAAgAIRogEAAAAAKND/B1HPOVjndnQHAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_density(np.absolute(p[0] - p[1]), figsize=(17, 6))\n", + "\n", + "plt.title('')\n", + "plt.xlabel('prior diff between treatments')\n", + "plt.ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7693fc47", + "metadata": {}, + "source": [ + "### R Code 11.9" + ] + }, + { + "cell_type": "markdown", + "id": "074c25ed", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{ACTOR[i]} + \\beta_{TREATEMENT[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 0.15) $$\n", + "$$ \\beta_k \\sim Normal(0, 0.5) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "31963fb1", + "metadata": {}, + "outputs": [], + "source": [ + "better_p = []\n", + "\n", + "alpha = np.random.normal(0, 1.5, N)\n", + "betas = np.random.normal(0, 0.5, (4, N))\n", + "\n", + "better_p = [inv_logit(alpha + beta) for beta in betas]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "968a7152", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_density([\n", + " np.absolute(p[0] - p[1]), \n", + " np.absolute(better_p[0] - better_p[1])\n", + " ], \n", + " data_labels=['b ~ normal(0, 10)', 'b ~ normal(0, 0.5)'],\n", + " figsize=(15, 6))\n", + "\n", + "plt.title('')\n", + "plt.xlabel('prior diff between treatments')\n", + "plt.ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a48821a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.10167149527022139" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(np.absolute(better_p[0] - better_p[1]))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "d28fa6f3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the 4 prior\n", + "\n", + "az.plot_density([\n", + " better_p[0], \n", + " better_p[1], \n", + " better_p[2], \n", + " better_p[3], \n", + " ],\n", + " data_labels=['prior_1', 'prior_2', 'prior_3', 'prior_4'], \n", + " figsize=(15, 6))\n", + "\n", + "plt.title('')\n", + "plt.xlabel('prior diff between treatments')\n", + "plt.ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7a4b71b6", + "metadata": {}, + "source": [ + "### R Code 11.10" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "267a6870", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['pulled_left', 'actor', 'treatment', 'N', 'qty_chimpanzees', 'qty_treatment'])" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_list = df[['pulled_left', 'actor', 'treatment']].to_dict('list')\n", + "data_list['N'] = len(df)\n", + "data_list['qty_chimpanzees'] = len(df.actor.unique())\n", + "data_list['qty_treatment'] = len(df.treatment.unique())\n", + "\n", + "data_list.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "a321f9b2", + "metadata": {}, + "source": [ + "### R Code 11.11" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "69fb5982", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_p8_n_hcy/model_vigmi4t7.stan', line 6, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_p8_n_hcy/model_vigmi4t7.stan', line 7, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_p8_n_hcy/model_vigmi4t7.stan', line 8, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 19% (1500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 44% (3500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 65% (5200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 84% (6700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 6.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.64 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.87 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.87 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_treatment;\n", + " int pulled_left[N];\n", + " int actor[N];\n", + " int treatment[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_chimpanzees] alpha;\n", + " vector[qty_treatment] beta;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0, 1.5);\n", + " beta ~ normal(0, 0.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "91a29c95", + "metadata": {}, + "outputs": [], + "source": [ + "samples_chimpanzees = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples,\n", + " observed_data=['pulled_left', 'actor', 'treatment']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d1473b96", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]-0.4490.332-0.9760.0820.0090.0061419.02459.01.0
alpha[1]3.8910.7512.7745.1420.0120.0093817.02940.01.0
alpha[2]-0.7500.345-1.293-0.2200.0090.0061593.02295.01.0
alpha[3]-0.7510.341-1.293-0.2100.0090.0061454.02483.01.0
alpha[4]-0.4430.328-0.9540.0850.0090.0061390.02326.01.0
alpha[5]0.4820.337-0.0291.0340.0090.0061565.02318.01.0
alpha[6]1.9650.4181.3422.6700.0090.0062113.02613.01.0
beta[0]-0.0440.290-0.5230.4020.0080.0061287.02170.01.0
beta[1]0.4800.2880.0180.9320.0080.0061256.01841.01.0
beta[2]-0.3870.284-0.8080.1000.0080.0061285.02112.01.0
beta[3]0.3700.286-0.0740.8400.0080.0061349.02159.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] -0.449 0.332 -0.976 0.082 0.009 0.006 1419.0 \n", + "alpha[1] 3.891 0.751 2.774 5.142 0.012 0.009 3817.0 \n", + "alpha[2] -0.750 0.345 -1.293 -0.220 0.009 0.006 1593.0 \n", + "alpha[3] -0.751 0.341 -1.293 -0.210 0.009 0.006 1454.0 \n", + "alpha[4] -0.443 0.328 -0.954 0.085 0.009 0.006 1390.0 \n", + "alpha[5] 0.482 0.337 -0.029 1.034 0.009 0.006 1565.0 \n", + "alpha[6] 1.965 0.418 1.342 2.670 0.009 0.006 2113.0 \n", + "beta[0] -0.044 0.290 -0.523 0.402 0.008 0.006 1287.0 \n", + "beta[1] 0.480 0.288 0.018 0.932 0.008 0.006 1256.0 \n", + "beta[2] -0.387 0.284 -0.808 0.100 0.008 0.006 1285.0 \n", + "beta[3] 0.370 0.286 -0.074 0.840 0.008 0.006 1349.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2459.0 1.0 \n", + "alpha[1] 2940.0 1.0 \n", + "alpha[2] 2295.0 1.0 \n", + "alpha[3] 2483.0 1.0 \n", + "alpha[4] 2326.0 1.0 \n", + "alpha[5] 2318.0 1.0 \n", + "alpha[6] 2613.0 1.0 \n", + "beta[0] 2170.0 1.0 \n", + "beta[1] 1841.0 1.0 \n", + "beta[2] 2112.0 1.0 \n", + "beta[3] 2159.0 1.0 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(samples_chimpanzees, var_names=['alpha', 'beta'], hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "eeab6b4e", + "metadata": {}, + "source": [ + "### R Code 11.12" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "7bcefe63", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_forest(samples_chimpanzees, \n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities\n", + " var_names=['alpha'], \n", + " transform=inv_logit,\n", + " hdi_prob=0.89,\n", + " figsize=(15, 6))" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "90316218", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_forest([samples_chimpanzees, samples_parcial_better, samples_partial], \n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities,\n", + " model_names=['samples_chimpanzees', 'samples_parcial_better', 'samples_parcial'],\n", + " var_names=['alpha'], \n", + " transform=inv_logit,\n", + " hdi_prob=0.89,\n", + " figsize=(15, 6))\n", + "\n", + "plt.title('All predicts to alpha')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "00bd75ab", + "metadata": {}, + "source": [ + "### R Code 11.13" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "40f03c17", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3xY3ZdP22cZcCLIKV4y6gR2vtJUlSVY8bdy0AAGzfGRdszhs/vynr9l6ZjdduzYmH75NjD14z7rKABTSRgRIA9gQvPG3juEtgAV2+eWuuuM5ZtIW0akXl1Ievy/q1q3Lh1Vty0oc35pRPXzXusibe/nutyAFrvIyfZK986Lpxl7BgJmXIKwAAE2b/vVZk/dpVSZL1a1dlv71WjLkiYKF5awMAOi2ld5hJ3v3Fq/OeL10z7jKWlCuu25YLr95y8xnKK50BXhAPufOabDh07bjLgCQCJQBAkmTDoWu9SF9gZ1ywOS847fKbr6F81hH7uoYSlhiBEgCARXHswWty2LrV2bh5a9atWZl9VhvyCkvNRAbKqlqfZN8kBw3fHzYs+mZrzUeFAADsIfZZvUKQhCVsIgNlkv+Z5Hemff//hsdjk5y526sBAABYhibyLq+tteNba7Wd6cxx1wYAALBcTEqgPLGqNlfV4XNpXFXrq2pzkhctcl0AAADL1iQMed2QZPXw9UVzXOfSJIcNX9+40AUBAAAwAYGytXZJxzpbk3xzEcoBAABgMClDXgEAANjDCJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALgIlAAAAXQRKAAAAugiUAAAAdBEoAQAA6CJQAgAA0EWgBAAAoItACQAAQBeBEgAAgC4CJQAAAF0ESgAAALoIlAAAAHQRKAEAAOgiUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALgIlAAAAXQRKAAAAugiUAAAAdBEoAQAA6CJQAgAA0EWgBAAAoItACQAAQBeBEgAAgC4CJQAAAF0ESgAAALoIlAAAAHQRKAEAAOgiUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALnt8oKyqM6uqDdMRc1znoGnrnLvYNQIAACxHe3ygHLwtyYFJzhnC4luq6vyqun54fEVVrZ7W/qKh/SljqRYAAGAZWDnuAuboutbaxiSpqrsnWZHkaUm+keQeSd6Y5LZJTkyS1tq2JBuravN4ygV2ZtP127Jx89asW7My+6xeMe5yAADoMCmB8mattY8k+ci0WedX1Z8keVmGQAns2c64YHPe+PlNWbf3ymy8dmtOPHyfHHvwmnGXBQDAPE1coJzFTyXZNO4iFsMLT9s47hLYgcs3b80V120bdxkTZ9WKyqkPX5f1a1flwqu35KQPb8wpn75q3GVNvP33WpED1iyVP+vjd7frtiRJPjxBf4df+dB14y4BgGVmUq6hnFVV3THJ85K8fty1AHOz/14rsn7tqiTJ+rWrst9ehrwCAEyiiX4ru6oOyGj468eSvHrM5SwK7zbv2d79xavzni9dM+4yJs4V123LhVdvufkM5ZXO8i6Ih9x5TTYcunbcZSwZZ531tSTJk4/2dxgAZjOxgbKq1iU5Pcm5SX67tdbGXBLL0IZD13oB3+GMCzbnBaddfvM1lM86Yl/XUAIATKCJDJRVdWCSM5J8OckTW2tbx1wSMA/HHrwmh61b7S6vAAATbuICZVXdLsmZSS5NclKS/apqavEVw0eGAHu4fVavECQBACbcxAXKJA9NctdhunDGsoOTfHt3FwQAALAcTdxdXltrb2+t1SzTt8ddHwAAwHIxKYHyxKraXFWHz6VxVa2vqs1JXrTIdQEAACxbkzDkdUOS1cPXF81xnUuTHDZ8feNCFwQAAMAEBMrW2iUd62xN8s1FKAcAAIDBpAx5BQAAYA8jUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALgIlAAAAXQRKAAAAugiUAAAAdBEoAQAA6CJQAgAA0EWgBAAAoItACQAAQBeBEgAAgC4CJQAAAF0ESgAAALoIlAAAAHQRKAEAAOgiUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALgIlAAAAXQRKAAAAugiUAAAAdBEoAQAA6CJQAgAA0EWgBAAAoItACQAAQBeBEgAAgC4CJQAAAF0ESgAAALoIlAAAAHQRKAEAAOgiUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB02eMDZVWdWVVtmI6Y4zoHTVvn3MWuEQAAYDna4wPl4G1JDkxyTlXdqqr+paourKobquqyqnpXVd1+WvuLhvanjKVaAIAFtOn6bTnvihuz6fpt4y4F4BZWjruAObqutbYxSarqVklOT/LyJJcluX2SVyX5pyT3S5LW2rYkG6tq83jKBQBYGGdcsDlv/PymrNt7ZTZeuzUnHr5Pjj14zbjLAkgyOYHyZq21HyY5ddqs71TVK5P8c1X9RGvthvFUBsBCe+FpG8f23He7bkuS5MNjrGGSXb55a664ztm0hbBqReXUh6/L+rWrcuHVW3LShzfmlE9fNe6yJtr+e63IAWsm7mUw8/DKh64bdwnLxqQMeZ1VVe2bZEOSzwmTAMBSs/9eK7J+7aokyfq1q7LfXivGXBHAj0zsWzNV9adJnplkrySfTfKo8VYEwEIb5zvMZ531tSTJk4/2LnePd3/x6rznS9eMu4wl4YrrtuXCq7fcfIbySmd+d9lD7rwmGw5dO+4yYEmY2ECZ5M+TvCXJHZO8NMm7qurhrbU23rIAgA2HrvWCfYGcccHmvOC0y2++hvJZR+zrGkpgjzGxgbK1dmWSK5N8varOy+jOrkcl+eRYCwMAWEDHHrwmh61bnY2bt2bdmpXZZ7Uhr8CeY2ID5QxT14LeZqxVAAAsgn1WrxAkgT3SxAXKqjoyyX2SfCrJ1UnunORlSb49zAMAAGA3mMS7vF6f5HEZfRbl1zK6jvI/kzzQXV4BAAB2n4k7Q9la+48kx467DgAAgOVuUs5QnlhVm6vq8Lk0rqr1VbU5yYsWuS4AAIBlaxLOUG5Isnr4+qI5rnNpksOGr29c6IIAAACYgEDZWrukY52tSb65COUAAAAwmJQhrwAAAOxhBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgi0AJAABAF4ESAACALgIlAAAAXQRKAAAAugiUAAAAdBEoAQAA6CJQAgAA0EWgBAAAoItACQAAQBeBEgAAgC4CJQAAAF0ESgAAALoIlAAAAHQRKAEAAOgiUAIAANBFoAQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoUq21cdewR6iqjyTZb9x1jMl+Sa4cdxHMiz6bTPpt8uizyaPPJpN+mzz6bPLMpc+ubK09bD4bFShJVX2htXbfcdfB3OmzyaTfJo8+mzz6bDLpt8mjzybPYvWZIa8AAAB0ESgBAADoIlCSJG8cdwHMmz6bTPpt8uizyaPPJpN+mzz6bPIsSp+5hhIAAIAuzlACAADQRaAEAACgi0C5xFXVbarqr6rqyqr6QVX9S1X97E7W+XZVte1M/3dam5O3s3zj4u/R8tDZbzvtkxo5uaourarrq+rMqrrn4u7N8tDZZ39YVZ+vqu9X1RVV9YGqOmRGm7dvp18/u7h7s3RV1dOr6oKquqGqzqmqB+6k/dFDuxuq6vyqeuqubpP5mc/Pt6oeU1WnDcfTtVX1uar61Rltjp/lf9xPLP7eLA/z7LNjZumPu89o99iq+kpV3Tg8/vri78nyMc8+297/pVZVP5jWZk79Sp+qetDwOuOS4ed6/BzWuVdVnTW8/rukql5SVTWjTddxJlAufacmeWySJyZ5YJKfSvLBqlqxg3UOT3LgtOk+SVqSv5vR7msz2t1rIQtf5k7N/Pst2Xmf/EGS5yZ5Vkb9/N0kH6uqvRes8uXr1My/z45J8vokD0jy4CRbk3y8qvad0e7juWW/PmIhC18uqurxSV6T5OVJ7p3kM0k+XFXrZ2l/cJIPDe3uneQVSf6qqh7bu03mp+Pne3SS05M8cmj/oST/tJ0Xx9fllsfUga21GxZ+D5afXTgm7plb9sk3pm3zyCTvS/LuJIcNj39fVfdf6PqXo44+e05mHD9Jzs+Pv05MdtCv7JI1Sc7NqC+u31njqvqpJB9LcnlGr/+ek+T5SX5/Wpv+46y1ZlqiU5KfTrIlyYZp8+6Q5IdJfmUe23lxkquTrJ427+Qk5457H5fi1NtvO+uTJJXksiQvnjZvdZJrkzxl3Ps9ydMCHmtrkmxL8uhp896e5IPj3selMCX5XJI3zZj3jSSvmKX9nyb5xox5b05ydu82TYvbZ7Ns49+SnDLt++OTbB73vi3VqeM4OyajN63328E235fkYzPmfTzJe8a9v0th2tXjLMkvDX34gPn0q2nB+m9zkuN30uZpSb4/47X8HyW5JD+6SWv3ceYM5dL2i0luneS0qRmttYuSnJfRGZGdGk6F/7ck72qtzXwH5E41Gjp5QVW9t6rutEB1L3e70m876pODk6ybsd3rk/zrHLbLju3ysTbYO6ORI5tmzD+qqr5bVV+vqjdV1c/sasHLTVWtyqifTpux6LTM3kdHbqf9R5Pct6pu3blN5mgBf75758ePqdVV9Z2quriqPlhV996FUhnsYp99oaouq6pPVNWxM5bNdiw6znbRAh1nJyT5cmvtM9tZtqN+Zfc5MsknZ7yW/2iS2yU5aFqbruNMoFza1mV0tuPKGfMvH5bNxXEZBZE3zZj/uYze5X1YRn9I1iX5TFXdtrdYbtbbbzvrk6l1L5/ndtm5hTjWktGQo/9Icva0eR9J8qQkv5zRcOX7JTm9qm7TW+wytV+SFZnf7/+6WdqvHLbXs03mbpd/vlX1jCQ/m+Sd02Z/LcnvJvm1jIao35Dk01V1110tmK4+uyyjsyePTfKYjPrnEzOGKc92LDrOdt0uHWdV9dNJfiM//jpxLv3K7jPbMTS1bEdtdvp7sHKXSmMsqup/ZTQMdUcW6l2gE5J8vrX2xekzW2sfnlHTZzMaP/87Sf5igZ57SVnsftMnC293HmtV9RdJjkpyVGtt29T81tp7pzX7UlWdk+Q7GV0j9o8L8dywFA3Xuv55kse31r4zNb+1dnamvWlTVZ/J6I2cZyV59m4uc9lrrX0to7Ax5eyqOiij67s+OZaimI/fyugE1fQ3bfTrMiNQTqZTk7xrJ20uTHJERu867ZfkimnLDsgcDuZhWN2vJXnGztq21jZX1ZeTeId3dqdmN/TblO30ydQdXw8Ynmf6dt2hd/tOze451l6d5AlJjm2tnb+jtq21S6vq4jjW5uvKjM4iHzBj/o5+/zfO0n7rsL3q2CZz19NnSZKqelySdyR5UmvtAztq21rbVlVfiGNqIXT32Qyfy+hv4pTZjkXH2a7b1T47Icn7W2vfm0Pbmf3K7jPbMTS1bEdtdvp7YMjrBGqtXdla++pOpuuSnJPkpoyGrSZJavQxBvfI6A5eO3N8khuTvGdnDWt0u/W7ZzTEge3Yjf02tc7MPrkgoz8Kx81o88D5bHc52R19VlWvyWjY3YNba1/dWU1VtV+S28exNi+ttS0Z9dNxMxYdl9n76OxZ2n+htXZT5zaZo96fb1X9RkZnS45vrf3Dzp5nuFfAL8QxtcsW8Jg4LLfsj9mORcfZLtqVPquq+yU5ND8+3HU2h8VxNi5nJ3lg3fLjkY5LcmmSb09r03ecjfvORKbFnZL8dZKLkzwko1tBn5HR0J4V09p8NckzZ6xXSb6eGXf9mrb8VRndnv3gJPdP8sGM7h51x3Hv81KYevptLn2S5AVJrsnoeoZDkrx3+GOy97j3edKnzj573dBHD87oGoWpac2wfM3Qr0dmdNH8McMf/Iv1WVcfPT6ju/H+XkZh/zUZ3R3vjsPydyR5x7T2Byf5QUZnqu8xrLclyWPnuk3Tbu+zJ2T05s5zZhxT+05r89Ikv5LkThm9wH3rsM79xr2/S2Hq6LOTkvyXjM4Q3zOjj+dpSR4zrc0DMhoZ8MKM3ij9w6HP7j/u/V0K03z7bNp6b07y9Vm2udN+Ne1Sn60Z/n4dltHHIL1k+Hr9sPwVST4xrf1PZ3RS4b0Zvf57TEavP547rU33cTb2H4hp0X/hbpPkr5JcNfzCfSDJHWa0aUlOnjHv2GH+dv/B5kdBZEtGtxx+f5KfH/f+LpWpp9/m0icZvVFwckbvEN6Q5Kwkh4x7f5fC1NlnbZbp5GH56ozusPbdoV+/k9HHiNxhd+3XUpuSPD2jd2NvzOhd+QdNW3ZmkjNntD86yb8P7S9I8tT5bNO0e/ts+H57x9T0Nq8ejqUbh2Pro0mOHPd+LqVpnn32Bxl9RMX1Sb6X0WUCj9jONh+X0ZtyWzK6g7ZgMqY+G+btnVHo/INZtjenfjV199cxs/yte/uw/O1Jvj1jnXtldGf/GzJ6HfjSDB8ZMq1N13E29bkjAAAAMC+uoQQAAKCLQAkAAEAXgRIAAIAuAiUAAABdBEoAAAC6CJQAAAB0ESgBAADoIlACAADQRaAEAACgy/8HeJR/TZKjvxsAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_forest(samples_chimpanzees, \n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities\n", + " var_names=['beta'], \n", + " # transform=inv_logit,\n", + " hdi_prob=0.89,\n", + " figsize=(15, 6))\n", + "plt.axvline(x=0, c='gray')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "36d0435c", + "metadata": {}, + "source": [ + "### R Code 8.14" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "097e17ca", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "beta_0 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)\n", + "beta_1 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)\n", + "beta_2 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)\n", + "beta_3 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)\n", + "\n", + "diff_beta_0_2 = az.extract(beta_0 - beta_2)\n", + "diff_beta_1_3 = az.extract(beta_1 - beta_3)\n", + "\n", + "az.plot_forest(\n", + " [diff_beta_0_2.beta.values, diff_beta_1_3.beta.values],\n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities\n", + " # transform=inv_logit,\n", + " model_names=['db13', 'db24'],\n", + " hdi_prob=0.89,\n", + " figsize=(15, 6)\n", + ")\n", + "\n", + "plt.axvline(x=0, c='gray')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "d34cb0ea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_forest(samples_chimpanzees, \n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities\n", + " var_names=['beta'], \n", + " # transform=inv_logit,\n", + " hdi_prob=0.89,\n", + " figsize=(12, 6))\n", + "\n", + "plt.axvline(x=0, c='gray')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b9e54642", + "metadata": {}, + "source": [ + "### R Code 11.15" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "6717efa6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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actortreatmentpulled_left
actortreatment
111.01.00.333333
21.02.00.500000
31.03.00.277778
41.04.00.555556
\n", + "
" + ], + "text/plain": [ + " actor treatment pulled_left\n", + "actor treatment \n", + "1 1 1.0 1.0 0.333333\n", + " 2 1.0 2.0 0.500000\n", + " 3 1.0 3.0 0.277778\n", + " 4 1.0 4.0 0.555556" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pl = df.groupby(['actor', 'treatment'])[['actor', 'treatment', 'pulled_left']].mean(['pulled_left'])\n", + "\n", + "pl.loc[pl.actor == 1]" + ] + }, + { + "cell_type": "markdown", + "id": "9aabd4a1", + "metadata": {}, + "source": [ + "### R Code 11.16 and R Code 11.17" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "141e3660", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# R Code 11.16\n", + "\n", + "plt.figure(figsize=(18, 6))\n", + "\n", + "plt.ylim(0, 1.3)\n", + "plt.xlim(0, 7)\n", + "plt.axhline(y=1, ls='-', c='black')\n", + "plt.axhline(y=0.5, ls='--', c='black')\n", + "\n", + "\n", + "for i in range(7):\n", + " plt.axvline(x=i+1, c='black')\n", + " plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)\n", + " \n", + " RN, LN, RP, LP = pl.loc[pl.actor == i + 1, 'pulled_left'].values\n", + "\n", + " if not i == 1:\n", + " plt.plot([0.2 + i, 0.8 + i], [RN, RP], color='blue')\n", + " plt.plot(0.2 + i, RN, 'o', markerfacecolor='white', color='blue')\n", + " plt.plot(0.8 + i, RP, 'o', markerfacecolor='blue', color='white')\n", + " \n", + " if not i == 1:\n", + " plt.plot([0.3 + i, 0.9 + i], [LN, LP], color='darkblue')\n", + " plt.plot(0.3 + i, LN, 'o', markerfacecolor='white', color='blue')\n", + " plt.plot(0.9 + i, LP, 'o', markerfacecolor='blue', color='white')\n", + " \n", + " # Labels for only first points\n", + " if i == 0:\n", + " plt.text(x=0.17, y=RN - 0.08, s='R/N')\n", + " plt.text(x=0.77, y=RP - 0.08, s='R/P')\n", + " plt.text(x=0.17, y=LN + 0.08, s='L/N')\n", + " plt.text(x=0.77, y=LP + 0.08, s='L/P')\n", + " \n", + "plt.title('Observed Proportions')\n", + "plt.ylabel('Proportion left lever')\n", + "plt.yticks([0, 0.5, 1], [0, 0.5, 1])\n", + "plt.xticks([])\n", + "\n", + "plt.show()\n", + "\n", + "\n", + "# R Code 11.17\n", + "# ============\n", + "\n", + "plt.figure(figsize=(18, 6))\n", + "\n", + "plt.ylim(0, 1.3)\n", + "plt.xlim(0, 7)\n", + "plt.axhline(y=1, ls='-', c='black')\n", + "plt.axhline(y=0.5, ls='--', c='black')\n", + "\n", + "\n", + "for i in range(7):\n", + " plt.axvline(x=i+1, c='black')\n", + " plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)\n", + " \n", + " alpha_chimp = az.extract(samples_chimpanzees.posterior.alpha.sel(alpha_dim_0=i)).alpha.values\n", + " \n", + " RN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)).beta.values)\n", + " LN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values)\n", + " RP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)).beta.values)\n", + " LP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values)\n", + " \n", + " # To R/N and R/P\n", + " # ===============\n", + " if not i == 1:\n", + " plt.plot([0.2 + i, 0.8 + i], [RN.mean(), RP.mean()], color='black')\n", + " \n", + " # Plot hdi compatibility interval\n", + " RN_hdi_min, RN_hdi_max = az.hdi(RN, hdi_prob=0.89)\n", + " RP_hdi_min, RP_hdi_max = az.hdi(RP, hdi_prob=0.89)\n", + " plt.plot([0.2 + i, 0.2 + i], [RN_hdi_min, RN_hdi_max], c='black')\n", + " plt.plot([0.8 + i, 0.8 + i], [RP_hdi_min, RP_hdi_max], c='black')\n", + " \n", + " # Plot points\n", + " plt.plot(0.2 + i, RN.mean(), 'o', markerfacecolor='white', color='black')\n", + " plt.plot(0.8 + i, RP.mean(), 'o', markerfacecolor='black', color='white')\n", + " \n", + " # To L/N and L/P\n", + " # ===============\n", + " if not i == 1:\n", + " plt.plot([0.3 + i, 0.9 + i], [LN.mean(), LP.mean()], color='black', linewidth=3)\n", + "\n", + " # Plot hdi compatibility interval\n", + " LN_hdi_min, LN_hdi_max = az.hdi(LN, hdi_prob=0.89)\n", + " LP_hdi_min, LP_hdi_max = az.hdi(LP, hdi_prob=0.89)\n", + " plt.plot([0.3 + i, 0.3 + i], [LN_hdi_min, LN_hdi_max], c='black')\n", + " plt.plot([0.9 + i, 0.9 + i], [LP_hdi_min, LP_hdi_max], c='black')\n", + "\n", + " plt.plot(0.3 + i, LN.mean(), 'o', markerfacecolor='white', color='black')\n", + " plt.plot(0.9 + i, LP.mean(), 'o', markerfacecolor='black', color='white')\n", + " \n", + " # Labels for only first points\n", + " if i == 0:\n", + " plt.text(x=0.08, y=RN.mean() - 0.08, s='R/N')\n", + " plt.text(x=0.68, y=RP.mean() - 0.08, s='R/P')\n", + " plt.text(x=0.17, y=LN.mean() + 0.08, s='L/N')\n", + " plt.text(x=0.77, y=LP.mean() + 0.08, s='L/P')\n", + " \n", + "plt.title('Posterior Predictions')\n", + "plt.ylabel('Proportion left lever')\n", + "plt.yticks([0, 0.5, 1], [0, 0.5, 1])\n", + "plt.xticks([])\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b0bf458c", + "metadata": {}, + "source": [ + "### R Code 11.18" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "08c0dcb9", + "metadata": {}, + "outputs": [], + "source": [ + "df['side'] = df.prosoc_left + 1 # Right 1, Left 2 - Because R start index in 1\n", + "df['cond'] = df.condition + 1 # no partner 1, partner 2 - Because R start index in 1" + ] + }, + { + "cell_type": "markdown", + "id": "b42e1219", + "metadata": {}, + "source": [ + "### R Code 11.19" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "024bbbb0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['pulled_left', 'actor', 'side', 'cond', 'N', 'qty_actors', 'qty_side', 'qty_cond'])" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Creating data list 2 to model\n", + "data_list2 = df[['pulled_left', 'actor', 'side', 'cond']].to_dict('list')\n", + "data_list2['N'] = len(df)\n", + "data_list2['qty_actors'] = len(df.actor.unique())\n", + "data_list2['qty_side'] = len(df.side.unique())\n", + "data_list2['qty_cond'] = len(df.cond.unique())\n", + "\n", + "data_list2.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "0f0856a6", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_77qezkt0/model_f2p3ngm3.stan', line 8, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_77qezkt0/model_f2p3ngm3.stan', line 9, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_77qezkt0/model_f2p3ngm3.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_77qezkt0/model_f2p3ngm3.stan', line 11, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 15% (1200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 20% (1600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 52% (4200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 71% (5700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000106 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000146 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.46 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000148 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.48 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000144 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.44 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model2 = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_actors;\n", + " int qty_side;\n", + " int qty_cond;\n", + " \n", + " int pulled_left[N];\n", + " int actor[N];\n", + " int side[N];\n", + " int cond[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_actors] alpha;\n", + " vector[qty_side] bs;\n", + " vector[qty_cond] bc;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0, 1.5);\n", + " bs ~ normal(0, 0.5);\n", + " bc ~ normal(0, 0.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + bs[ side[i] ] + bc[ cond[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori2 = stan.build(model2, data=data_list2)\n", + "samples2 = posteriori2.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "8547fc0b", + "metadata": {}, + "outputs": [], + "source": [ + "samples_chimpanzees_2 = az.from_pystan(\n", + " posterior_model=posteriori2,\n", + " posterior=samples2,\n", + " observed_data=['pulled_left', 'actor', 'side', 'cond']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "e1a6d1b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ECRxwwAE73c7NN9/MlClTOOWUUwA4++yzef/738/KlSuZPXs2KSXGjh3Ltddey4wZM6itreW0004DoKqqiquuuorly5e/7ve0PVdffTUTJ07s2MbRRx+9w94E3RGldDmM3vrv//7v5FUGJEmSJHXHqFGjKC8vrnOvK1eu5FOf+tTrJhIsNI888gg/+clPuO6667KO0m9aW1tf17Pi6KOPjq7WdciAJEmSJEklyB4C3WAPAUmDxaamxNrGrYyrGsIulV0WeiVJUsaKsYdAX/vBD37QMRN/u2OPPXaHlyQsFZ/5zGdYsWLFa5Z98pOf7PZlBnvSQ8CCQDdYEJA0GCxa1cpPn26lemQ5dfWtfPjt5cyY6JcNSZIGGwsCylJPCgJ98lcaEQn4YEppfjfXPwpYAIxLKa17A/tdCByZfzojpfRAD/cP8P+llN7b2wzSYHbNw007X6lIrWvcyvotWafoWxVlwZz3VDNpTAXLNjZz7m/r+P4TLVnH6hO7DoPdqhzF1lMXHlKZdQRJklTAiuHb14+AicCj7QsiYmxE3BwRm/K3myNiTKc2f863uX1go0pS740bXsakMblr8E4aU8Fuw8syTiRJkqRCVgz9WBpSSnXbLLsVmASckH/+A+Bm4J8BUkrNQF1ENAIjBiqoNNBK+ezhL5e28OvnW7OO0afWNrSxbGNzRw+BdQ1tWUfqM/+0eznvmzo06xiSJEklpVsFgYg4Afg8MA1IwMPAuSmlJV2sOxmoBWYDHwMOBl4APplSumub1Q+IiKuBfwCeAs5KKf0lv51dgW8BRwC7As8D/5lS+tFOsu5DrhBweEppUX7ZvwN/jIi9U0p/7857llTY3jd1aNEdYC5a1coFd9Z1zCHwkX2dQ0CSJEm9190hAyOAOcChwFHAJuA3EVGxgzZfBa4DpgN3A7+KiD22WefLwOeAg4D1wC0R0T7ZwTDgL8B7gf2AbwLfjYhjdpJ1BlBPblhAu/uBzUD3pmWUpEFoxsRyrnxnJSe/LbjynZUWAyRJ0qBw5pln8tRTT/Xb9leuXMkHP/jBLl/7zne+w4MPPthv+y523fo2mVL6WefnEXE68Aq5AsGfttPsOyml2/Prfwo4HjgbuKTTOl9IKS3Ir3NFflt7AC+llFYAX+u07vci4mjgw8A9O4hbDaxNnS6fkFJKEbEm/5okFaxdKoNdKp07QJIkCeDss8/OOkJB6+6QgSnAlcA7gHHkehYMITdOf3sWtT9IKW2NiAeBfbdZ52+dHq/M348HXoqIMnK9Bz5ErkhQCVQAC7uTWZIkSZKyduNfNlG7sW+vClQzZihnHLTLDtdpbGzkwgsvZPXq1WzdupWPfvSjvPjii/zhD3+gqamJ/fffn0suuYSI4Mwzz2Tvvffmscceo7GxkSuvvJIf/vCHLF26lOOOO46Pf/zjrFy5kk984hPss88+LFmyhClTpnDFFVdQVVX1mv0uWrSIG264gZaWFt785jdz2WWXMXz4cK677jruu+8+ysrKmDFjBp/+9Ke7zL1+/XquvvpqXnrpJQAuvvhixo0bR1tbG1deeSWPP/4448eP5+tf/zrDhg3j0ksv5YgjjuDYY4/lpJNO4oQTTuD++++nrKyMSy65hOuvv56XXnqJU089lVmzZvHII4/wne98hxEjRrB8+XIOPvhgLrroIoYMGcLVV1/Nk08+SVNTE8ccc0xHseGkk07ive99L3/84x9pbW3lmmuuoaamhnPOOYe1a9cCuV4M559/PieeeCLXXXcdjz76KM3NzZx88snMmjULgJtuuom7776b5uZmZs6cydlnn93l7+n4449/Q38fPdHdIQP/Ta4Q8O/kigIHAq3kDtDfiM6fjPYz+u2ZPgt8hlwvgWPIDT34ZTf2WQeM6zT0gPzj8fnXJKlDRfMGRr/yNBXNG7KOIkmS1Gf+/Oc/M27cOObNm8cdd9zBO9/5Tj70oQ8xd+5c7rjjDpqamvjDH/7Qsf7QoUO55ZZbmDVrFp/+9Kf53Oc+xx133MFvfvMbNm7cCMALL7zABz/4QX7+858zYsQI7rjjjtfsc8OGDfzgBz/ghhtu4NZbb2Xfffdl7ty5bNy4kQULFjB//nxuv/12PvrRj24391e/+lUOOugg5s2bx6233sqee+4JwPLlyzn55JOZP38+o0aN4p57uu40Xl1dzW233caBBx7IpZdeyte+9jVuuukmbrjhho51nnzySS644ALmz5/PSy+9xL333gvAxz/+cW655RbmzZvHX/7yF5555pmONmPHjuXWW29l1qxZ3HzzzQBcf/313HbbbXzxi1+kurqao446il/+8peMGjWKuXPnMnfuXH7xi1+wYsUKFi1axLJly7j55pu57bbbWLJkCY8++miXv6eBtNMeAvnJ/d4OfKxT9/6DutH2MODe/PpBbnjB/B5kOxz4TUrp5k7b2AvYuJN2i4CR5OYSaJ9HYAa5eRD+vL1GkkrPhNX3sdfzN9I8YncqNq/kmT3PYPWEI7OOJUmSisjOzuT3l6lTp/L1r3+db37zmxxxxBEcdNBB3HPPPdx0001s2bKFTZs2MWXKFI48Mvfdp/1+6tSpTJkyhXHjxgGwxx57sHr1akaNGkV1dTXTp08H4MQTT+S2227j1FNP7djnE088QW1tLaeffjoALS0t7L///owcOZKKigouv/xyjjjiCN71rndtN/fDDz/MlVdeCUBZWRmjRo3i1VdfZffdd2fvvfcGYJ999mHVqlVdtu/8PhobGxkxYgQjRoygoqKCV199FYD99tuPN7/5zQAcf/zxPPbYYxx77LHcfffd/PznP6e1tZV169ZRW1vLXnvtBcDRRx/dse/2AgLkiiBf+MIXuOaaaxg1ahQPPPAAzz77LL///e8BqK+vZ9myZTzwwAM88MADfPjDHwagoaGB5cuXc+CBB77u9zSQujNkYAOwDjgzIpaT677/NXI9BHbk7Ih4BniC3NUG3gp8pwfZngE+FBGH5/d/DlADPLajRimlJRHxO3ITEJ6VX/xd4L+9wkDhOfDxS3a+knpt2JY1VDWtzTpGZraWVfLcMTfSNLqGyldq2eeeM9jv73OyjjUoNFaOY8uw8VnHKGqPHXBV1hEkSUXsrW99K7feeit/+tOf+Pa3v82hhx7K7bffzty5c6muruaGG26gqampY/2KilxH7CFDhjB06P9eqWnIkCG0tXV9qeNOnbIBSCnxjne8gy9/+cuvW/fmm2/moYce4ve//z3z5s3je9/7Xo/eT3u+9kytrV0fjrZn3/Z9RERHm21zRwQrVqzgJz/5CXPnzmX06NFceumlr/n5tG+rrKys4+fR1tbGRRddxFlnncXUqVM7fgYXXHDB6870L1q0iNNPP71j+EBn2/6ezjrrrNet0192OmQgpbSV3Dj+/YHFwH8BXwCadtSO3Pj/84DHyV0G8P0ppZd6kO0q4CHgt8AfyF0l4JZutv3X/H7vzN8eB/5vD/YtqQS0VI2naXQNAE2ja2ip8gBYkiQVh7Vr1zJs2DBOOukkTj31VJ5++mkAxowZQ0NDw3a73O9IXV0djz/+OAC/+93vOnoLtNt///15/PHHWbZsGZCbx+DFF1+koaGB+vp6Dj/8cD7zmc/w7LPPbncfhx56aMdQhLa2to6z+n3pySefZMWKFWzdupW77rqLAw88kM2bN1NVVcXIkSNZv349999//063c9111/G2t73tNWP+Z8yYwfz582lpyY2Of/HFF2lsbGTGjBn8+te/pqGhAYA1a9bw8ssvb/f3NFC6e5WBe4Fp2ywe2en14PX+nlLqcgBESmkhENsse6HzspTSBuAD3cnXxfY3AP/Wm7YaXDyD1r9qXriNmmXzso6RmaGNa6h8pbajh8DQxjVZRxo06iYcTe3kU7KOIUmSeunZZ59lzpw5DBkyhPLyci6++GIWLFjAySefzK677sq++2473/vOTZ48mdtvv53LL7+cPffc83Vnu8eOHctll13GxRdfTHNzM5Ablz98+HDOO++8jjPu55133nb3cf7553PVVVfxq1/9iiFDhnDRRRd1DF/oK/vuuy/XXHNNx6SCM2fOZMiQIbz97W/nAx/4ABMmTOCAAw7Y6XZuvvlmpkyZwimn5L4znX322bz//e9n5cqVzJ49m5QSY8eO5dprr2XGjBnU1tZy2mmnAVBVVcVVV13F8uXLX/d7GkjR6ep8fbPBiMlALXBISumRPt346/e1EHgn0AzMTCk93M12R5DreVAJ3JlSeu+O1v/v//7vNHz48DeYVtJg4xwCkiSpP4waNYry8m6dey0YK1eu5FOf+tTrJhIsNI888gg/+clPuO6667KO0m9aW1tf17Pi6KOP7uokfvd6CAxis4H261ws70G7R8hdtQByQxEklaDVE45kw9j9GbZlNVuGTaC5YmzWkSRJkqQB0+c9BIqRPQQkSZIkdVcx9hDoaz/4wQ86ZuJvd+yxx+7wkoTqnp70ELAg0A0WBCRJkiR1lwUBZaknBYGdXmVAkiRJktQznnhVFnr6d2dBQJIkSZL6UPt16i0KaCC1/721//11h/1YJEmSJKkPNTY2AlBWVpZxEpWatra2jr+/7rAgIEmSJEl9KKVEQ0ND1jGknXLIgCRJkiRJJcgeAt1QWVlphU+SJEmSVFQsCHTDxIkTs44gSZIkSVKfcsiAJEmSJEklyIKAJEmSJEklyIKAJEmSJEklyIKAJEmSJEklyIKAJEmSJEklyIKAJEmSJKmobWhsY8naJjY0tmUdZVDxsoOSJEmSpKK1oLae7z28gepR5dS92spZh4xlZs3IrGMNChYEJEmSJEkD7nN31fW67er6VtY2dO9sf0VZMOc91UwaU8Gyjc2c+9s6rr1//evWGze8jAkju3eI/JXjqnuUd7Aq6CEDEbEwIlL+dlg320zu1GZxf2eUJEmSJGVn3PAyJo2pAGDSmAp2G16WcaLBoxh6CPwIuBhYDxARnwdOBKYDw1NKsc36y4GJwGeBEwYupiRJkiSp3Rs5y37L4xv56ROburXu2oY2lm1s7ughsG47PQuOnTKS2QeM6XWmQlQMBYGGlFLnviaVwM+BheQKBa+RUmoD6iKifmDiSZIkSZL60uwDxnT74H1BbT0X3rW6Yw6Bcw57k3MI5BVDQeA1UkpfBIiIWVlnkSRJkiRla2bNSKZXV1FX30r1yHLGVjlkoF3RFQQkSZIkSepsbFWZhYAuFPSkgpIkSZIkqXcsCEiSJEmSVIIsCEiSJEmSik75lvVUrV9M+Zb1WUcZtJxDQJIkSZJUVHZZdicT/zqH5hF7ULF5Baumn8umScdnHWvQKbqCQERMAt4ETM4/n55/aWlKyUsNSpIkSdIAqFn4iT7ZztDNq6horNv5ip1sLavkuWNupGl0DZWv1DLlnjN4y0NXbHf95qpqWkZM7NE+ao/6Vo/WH4yKccjAFcBjwNfyzx/L3w7OLJEkSZIkacC0VI2naXQNAE2ja2ipGp9xosGp6HoIpJROA07LOIYkSZIklbS+OoM+/skbGb/khz1qM7RxDZWv1Hb0EBjauGaH62+cfCJr9jvjjcQsSJFSyjpDr0XEQuCdQDMwM6X0cDfaTAKeAiqAZ1JK03bWZvHixYX7Q5IkSZKkEuMcAq81bdq06Gp5ofcQmA1U5R8v72ablcD0/OOmvg4kSZIkScrWpknHs3n8wQzdvIqWERNpHbZr1pEGpYIuCKSUVvSiTSuwtB/iSJIkSZIGidZhu1oI2IlinFRQkiRJkiTthAUBSZIkSZJKkAUBSZIkSZJKkAUBSZIkSZJKkAUBSZIkSZJKUEFfZWCgrFq1iqYmr1AoSZIkSSo806ZN63K5BYFuaGpqYvjw4VnHkCRJkiSpzzhkQJIkSZKkEmRBQJIkSZKkEmRBQJIkSZKkEmRBQJIkSZKkEmRBQJIkSZKkEmRBQJIkSZKkEmRBQNKgsqkpsXRjG5uaUtZRJEmSpKJWnnUASWq3aFUrP326leqR5dTVN/Hht5czY6L/TEmSJEn9wW/aKjrXPNyUdYTMrWvcyvotWafouYqyYM57qpk0poJlG5s597d1fP+Jlqxj9Ytdh8FuVaXTSevCQyqzjiBJkqRtFPS30YhYGBEpfzusm20md2qzuL8zSuq+ccPLmDSmAoBJYyrYbXhZxokkSZKk4lUMPQR+BFwMrI+IycAXgJnARGAVMA+4IqXUmF9/ef61zwInDHha9TvPRMIvl7bw6+dbs47RY2sb2li2sbmjh8C6hrasI/Wbf9q9nPdNHZp1DEmSJJWwYigINKSU6gAi4u1AGXA28CywD/A9YFfgLICUUhtQFxH12cSV+t/7pg4tyIPNRataueDOuvwcAq18ZF/nEJAkSZL6S1F9004p/Q74XadFz0fEl4AryRcEJA1eMyaWs++byljbuJVxVZXsUhlZR5IkSZKKVlEVBLZjNLAh6xCSumeXymCXSucOkCRJkvpbQU8quDMR8VZycwV8O+sskiRJkiQNJkVbEIiICeSGD9wNfCPjONKgUtG8gdGvPE1Fs51nJEmSpFJVlEMGIqIauBdYDPzflFLKOJI0aExYfR97PX8jzSN2p2LzSp7Z8wxWTzgy61iSJEmSBljRFQQiYiKwAHgS+HBKqfCuvfYGHfj4JVlHKGjDtqyhqmlt1jH6zdaySp475kaaRtdQ+Uot+9xzBvv9fU7WsTLXWDmOLcPGZx2joD12wFVZR5AkSVIPFNWQgYjYHbgPqAPOBXaLiOr8zVnKJKClajxNo2sAaBpdQ0uVB8GSJElSKSq2HgLHAW/L35Zt81oN8MJAB8qCZ+nemJoXbqNm2bysY/SboY1rqHyltqOHwNDGNVlHGhTqJhxN7eRTso4hSZIkDZiiKgiklH4M/DjjGCpwtZNPKeoDwwmr72OvBWd3zCGwZOrZziEgSZIklaBiKAicFRGnATNTSg/vbOWImAQ8BVQAz/RzNmnQWT3hSDaM3Z9hW1azZdgEmivGZh1JkiRJUgYKvSAwG6jKP17ezTYrgen5x019HUgqBM0VYy0ESJIkSSWuoAsCKaUVvWjTCizthziSJEmSJBWMorrKgCRJkiRJ6h4LApIkSZIklSALApIkSZIklSALApIkSZIklSALApIkSZIklaCCvsrAQKmsrKShoSHrGJIkSZIk9RkLAt0wceLErCNIkiRJktSnHDIgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgadDa0NjGkrVNbGhsyzqKJEmSVHS87KCkQWlBbT3fe3gD1aPKqXu1lbMOGcvMmpFZx5IkSZKKhgUBlZzP3VWXdYR+t7q+lbUNhX1WvaIsmPOeaiaNqWDZxmbO/W0d196/PutYb8i44WVMGOk/u93xleOqs44gSZJU9Ap6yEBELIyIlL8d1s02kzu1WdzfGSX1zrjhZUwaUwHApDEV7Da8LONEkiRJUnEphlNVPwIuBtZHxBDgl8B0YDywAbgHuDCltCK//nJgIvBZ4ISBDqvslcKZx1se38hPn9iUdYw3ZG1DG8s2Nnf0EFhX4D0eAI6dMpLZB4zJOoYkSZIEFEdBoCGlVAeQLwjcC1wNrAL2AP4T+AVwKEBKqQ2oi4j6bOJK/W/2AWMK/sBzQW09F961umMOgXMOe5NzCEiSJEl9qBgKAh1SSluBOZ0WvRgRXwF+FRHDUkpbskkmqadm1oxkenUVdfWtVI8sZ2yVQwYkSZKkvlRUBYFtRcSbgNnAgxYDpMIztqrMQoAkSZLUTwp6UsHtiYhrImIzsB6YBLw340iSJEmSJA0qRVkQAL4GHAgcB7QBcyMiso0kSZIkSdLgUZRDBlJK64B1wDMRsYTclQUOB/6YaTBpkCjfsp6hm1fRMmIircN2zTqOJEmSpAwUZUFgG+29ICozTSENErssu5OJf51D84g9qNi8glXTz2XTpOOzjiVJkiRpgBVVQSAiZgAHAX8CNgJTgCuBF/LLil7Nwk9kHaHoDN28iorGuqxj9JmtZZU8d8yNNI2uofKVWqbccwZveeiKrGNlormqmpYRE7OOUXBqj/pW1hEkSZLUB4ptDoFGYBZwL/B34Ebgb8ARXmVAymmpGk/T6BoAmkbX0FI1PuNEkiRJkrJQVD0EUkp/BWZmnSNLnrnre+OfvJHxS36YdYw+M7RxDZWv1Hb0EBjauCbrSJnZOPlE1ux3RtYxJEmSpExESinrDL0WEQuBdwLNwMyU0sPdaDMJeAqoAJ5JKU3bWZvFixcX7g9J2oZzCEiSJEmlZdq0aV1eda/QewjMBqryj5d3s81KYHr+cVNfB5IGu02Tjmfz+IO9yoAkSZJU4gq6IJBSWtGLNq3A0n6IIxWM1mG7WgiQJEmSSlyxTSooSZIkSZK6wYKAJEmSJEklyIKAJEmSJEklyIKAJEmSJEklyIKAJEmSJEklqKCvMjBQVq1aRVOTVyiUJEmSJBWeadOmdbncgkA3NDU1MXz48KxjSJIkSZLUZxwyIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEkFZFNTYunGNjY1payjSJIkqcCVZx1AktQ9i1a18tOnW6keWU5dfRMffns5Myb6z7gkSZJ6x2+SUhG75uGmrCNkal3jVtZvyTpF36koC+a8p5pJYypYtrGZc39bx/efaMk6Vp/ZdRjsVmXHte258JDKrCNIkqQiU9DfvCJiYUSk/O2wbraZ3KnN4v7OKEl9ZdzwMiaNqQBg0pgKdhtelnEiSZIkFbJi6CHwI+BiYH3nhRExDHgQ2B84JKX0SP6l5cBE4LPACQOYUxpwpX5G8ZdLW/j1861Zx+gzaxvaWLaxuaOHwLqGtqwj9al/2r2c900dmnUMSZKkklEMBYGGlFJdF8v/E3iJXEGgQ0qpDaiLiPqBCCcpO++bOrSoDjAXrWrlgjvr8nMItPKRfZ1DQJIkSb1XlN8kI+L/AWYCs4ATM44jSX1ixsRy9n1TGWsbtzKuqpJdKiPrSJIkSSpgRVcQiIg3A98B3gM0ZhxHkvrULpXBLpXOHSBJkqQ3rqAnFdxWRJQBtwDXppQezzqPJEmSJEmDVVEVBMhNLtgMfD3rIJIGr4rmDYx+5WkqmjdkHUWSJEnKTLENGTgGOAJoiXjN2NoHImJeSml2NrEkDRYTVt/HXs/fSPOI3anYvJJn9jyD1ROOzDqWJEmSNOCKrSBwOjCi0/PdgTuB2cD9mSTSgDjw8UuyjlDQhm1ZQ1XT2qxjDIitZZU8d8yNNI2uofKVWva55wz2+/ucrGMNSo2V49gybHzWMUrWYwdclXUESZJU5IqqIJBSqu38vNOlBZ9LKb2UQSRJg0xL1XiaRtcA0DS6hpaq8VTWL884lSRJkjTwiqogoNLlmbQ3puaF26hZNi/rGANiaOMaKl+p7eghMLRxTdaRBq26CUdTO/mUrGNIkiSpnxR1QSCl9ALghbqlnaidfErJHPhNWH0fey04u2MOgSVTz3YOAUmSJJWkYigInBURpwEzU0oP72zliJgEPAVUAM/0czZJg8zqCUeyYez+DNuymi3DJtBcMTbrSJIkSVImCr0gMBuoyj/u7iDglcD0/OOmvg4kafBrrhhrIUCSJEklr6ALAimlFb1o0wos7Yc4kiRJkiQVjCFZB5AkSZIkSQPPgoAkSZIkSSXIgoAkSZIkSSXIgoAkSZIkSSXIgoAkSZIkSSWooK8yMFAqKytpaGjIOoYkSZIkSX3GgkA3TJw4MesIkiRJkiT1KYcMSJIkSZJUgiwISJIkSZJUgiwISJIkSZJUgiwISJIkSZJUgiwISJIkSZJUgiwISJIk9cKGxjaWrG1iQ2Nb1lEkSeoVLzsoSZLUQwtq6/newxuoHlVO3autnHXIWGbWjMw6liRJPWJBQJKkPvK5u+qyjjAora5vZW1DcZ1FrygL5rynmkljKli2sZlzf1vHtfevzzpWnxg3vIwJI/2K2NlXjqvOOoIk9YuCHjIQEQsjIuVvh3WzzeRObRb3d0ZJklR8xg0vY9KYCgAmjalgt+FlGSeSJKnniqH8+yPgYmA9QES8ALx1m3WuSSl9Lv94OTAR+CxwwgBllCSVAM8idu2Wxzfy0yc2ZR2jT61taGPZxuaOHgLriqgHxLFTRjL7gDFZx5AkDYBiKAg0pJS27aN5BfCdTs/r2x+klNqAuoioR5Ik9bvZB4wpugPMBbX1XHjX6o45BM457E3OISBJKjjFUBDoyqtdFAkkSZL6xMyakUyvrqKuvpXqkeWMrXLIgCSp8BT0HAI78NmIWB8Rf42Iz0dERdaBJElScRlbVcY+4yotBkiSClYx9hC4DniM3JwChwJfAWqAj2YZSpIkSZKkwaToCgIppa93evq3iHgFmBcRF6aUiuN6QJIkSZIkvUHFOmSgswfz91MzTSFJkrpUvmU9VesXU77Fur0kSQOp6HoIdGF6/n5VliEkSdLr7bLsTib+dQ7NI/agYvMKVk0/l02Tjs86liRJJaGoCgIRMQM4DFgAbAIOAb4B/DqltCzLbJKUpZqFn8g6QskbunkVFY1eAGdbW8sqee6YG2kaXUPlK7VMuecM3vLQFVnHGlSaq6ppGTEx6xglrfaob2UdQZL6RbENGWgCPgQsBJ4CrgC+D3w4w0ySJGk7WqrG0zS6BoCm0TW0VI3POJEkSaWjqHoIpJT+Qq6HgCSpE89uZW/8kzcyfskPs44x6AxtXEPlK7UdPQSGNq7JOtKgs3HyiazZ74ysY0iSilCklLLO0GsRsRB4J9AMzEwpPdyNNpPI9R6oAJ5JKU3bWZvFixcX7g9JkqRBzDkEJEnqf9OmTYuulhd6D4HZQFX+8fJutlnJ/0402NTXgSRJUvdtmnQ8m8cfzNDNq2gZMZHWYbtmHUmSpJJR0AWBlNKKXrRpBZb2QxxJktQLrcN2tRAgSVIGim1SQUmSJEmS1A0WBCRJkiRJKkEWBCRJkiRJKkEWBCRJkiRJKkEWBCRJkiRJKkEFfZWBgbJq1SqamrxCoSRJkiSp8EybNq3L5RYEuqGpqYnhw4dnHUOSJEmSpD7jkAFJkiRJkkqQBQFJkiRJkkqQBQFJkiRJkkqQBQFJkiRJkkqQBQFJkiRJkkqQBQFJkiRJkkqQBQFJkiRJegM2NSWWbmxjU1PKOorUI+VZB5AkSZKkQrVoVSs/fbqV6pHl1NU38eG3lzNjoodZKgz+pUqSJEnqlmsebso6wnata9zK+i0Dv9+KsmDOe6qZNKaCZRubOfe3dXz/iZYB2feuw2C3qsHX6fvCQyqzjqBuGnx/PT0QEQsjIuVvh3WzzeRObRb3d0ZJkiRJxWvc8DImjakAYNKYCnYbXpZxIqn7iqGHwI+Ai4H17Qsi4njgMuAAoBn4S0rp6PzLy4GJwGeBEwY0qSRJklTABvOZ318ubeHXz7cO+H7XNrSxbGNzRw+BdQ1tA7bvf9q9nPdNHTpg+1PxKYaCQENKqa79SUS8j1yR4PPAaeR6QRzU/npKqQ2oi4j6gY0pSZIkqb+8b+rQTA6OF61q5YI76/JzCLTykX2dQ0CFo6j+UiOiDLgOuCCl9P1OLy3JKJIkSZKkIjZjYjn7vqmMtY1bGVdVyS6VkXUkqdsKeg6BLvwj8BagOSL+EhF1EXFXRByYdTBJkiRJxWmXymDqmDKLASo4xVYQ2DN/fwVwNXAS8BKwMCImZpZKkiRJkqRBptgKAu3v50sppfkppUeBs4BNwKnZxZIkSZKUtYrmDYx+5WkqmjdkHUUaFIpqDgFgVf7+qfYFKaXWiHgWmJRNJEmSJElZm7D6PvZ6/kaaR+xOxeaVPLPnGayecGTWsaRMFVtB4FGgCdgb+BNARAwBpgB3ZphLkiRJJebAxy/JOkK/GbZlDVVNa7OO0SNbyyp57pgbaRpdQ+Urtexzzxns9/c5WcfqUmPlOLYMG591jH712AFXZR1BFFlBIKX0SkTcAFweES8BLwCfAMYCN2eZTZIkSVJ2WqrG0zS6BoCm0TW0VI2nsn55xqmkbBVVQSDvfKAZuAkYDvwFmJlSWrXDVpIkSVIfKuYzoDUv3EbNsnlZx+iRoY1rqHyltqOHwNDGNVlH2q66CUdTO/mUrGOoBBRdQSCl1AJckL9JkiRJ6mO1k08puAPWCavvY68FZ3fMIbBk6tnOIaCSVwwFgbMi4jRyvQAe3tnKETGJ3KSDFcAz/ZxNkiRJ0iCwesKRbBi7P8O2rGbLsAk0V4zNOpKUuUIvCMwGqvKPuzsAaCUwPf+4qa8DSZIkSRqcmivGWgiQOinogkBKaUUv2rQCS/shjiRJkiRJBWNI1gEkSZIkSdLAsyAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJsiAgSZIkSVIJKs86QCGorKykoaEh6xiSJEmSJPUZCwLdMHHixKwjSJIkSZLUpxwyIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCbIgIEmSJElSCXrDBYGIWBgR3+qLMD3c7+SISPnb0z1s++NObWf1V0ZJkiRJkgarzHsIRMRR+QPz3Xq5iROAw7fZ5pER8WhEbImI5yPiP7Zp8ylgYi/3J0mSJElSwcu8INAH1qeU1rU/iYga4H+APwMHAl8Gro+If2lfJ6W0KaVUN+BJJUlFYUNjG0vWNrGhsS3rKJIkSb3WVwWB8oj4ZkRsyN++FhFDACKiIiKuiYiXIqIhIh6OiOPzr00GFuS3sTbfU+DH+ddOiIg/5rf3ckTcGRH7dCPLfwArU0rnpJSWpJS+D9wEfLaP3qskqYQtqK3nY79ZyfceeZmP/WYlC2rrs44kSZLUK+V9tJ3ZwI+BGcD+wPeBVcDXgR8BU4B/BV4CTgR+ExGHAIuBfwF+BuwHvAw05rc5ApgD/A2oAi7Jt9s3pdS8gywzgLu2WXYn8JGIGJpSankjb1SSeuNzd9kpqSur61tZ21BYZ9kryoI576lm0pgKlm1s5tzf1nHt/euzjtVr44aXMWFkX30dKBxfOa466wiSJGWur74BrAI+mVJKwNMRsRdwXkT8CvgwMDmltCy/7rci4ljg31NKH4uIl/PL13Tu+p9S+lnnHUTE6cArwKHAn3aQpRr4/TbLVpN7r7vls0qS1CvjhpcxaUwFAJPGVLDb8DJWvtqacSpJkqSe66uCwAP5YkC7RcCV5Cb7C+CpiOi8fiVw7442GBFT8tt4BzCO3PCGIcCkPsosSQPGs5Fdu+Xxjfz0iU1Zx+iRtQ1tLNvY3NFDYF2B9XDY1rFTRjL7gDFZx5AkSRkYiD6CCTgE2LarfmMX63b23+SGGPw7sAJoBZ4CKnbSrg6YsM2yCfn2616/uiQpK7MPGFNwB6MLauu58K7VVI8qp+7VVs457E3MrBmZdSxJkqQe66uCwDsiIjr1EjgMWEmup0AA1SmlBdtp2z4fQFn7gojYFXg78LH2dhFxUDfzLgLev82ydwOPOH+AJOmNmlkzkunVVdTVt1I9spyxVWU7byRJkjQI9dVVBnYH5kTE3hExCzgf+EZK6RngFuDHETErIvaMiIMj4rMR8YF82xfJ9SI4KSLGRcRIYAO5s/lnRsTUiDgSuIHcWf6duQHYIyLmRMQ+EfFR4DTgP/vovUqSStzYqjL2GVdpMUCSJBW0vioI3ELuDP+D5K4wcCPwjfxrp5O70sBXgafJDQV4F7lCACmlFcClwJfITf73rZTSVuBD5K5YsBj4L+ALQNPOgqSUasldyeBdwF+Bz5Ob8PBnO2onSZIkSVIpidfOBVg4ImIyUAscklJ6pJfbSMAHU0rzd7Te4sWLC/OHJEmSJEkqedOmTYuulvdVD4Es/SEiHu1Jg4i4ISLq+yuQJEmSJEmD3UBcZaC/vAS8Lf+4eUcrduGL/O+cAqv6LJEkSZIkSQWiYAsCKaVWYGkv264B1vRtIkmSJEmSCkcxDBmQJEmSJEk9ZEFAkiRJkqQSZEFAkiRJkqQSZEFAkiRJkqQSZEFAkiRJkqQSZEFAkiRJkqQSVNAFgYhYGBEpfzusm20md2qzuL8zSpIkSZI0GBV0QSDvR8BE4FGAiPh8RNwfEZsjInWx/vL8+tcOYEZJkiRJkgaVYigINKSU6lJKLfnnlcDPgTldrZxSaksp1QH1A5RPkiQVqQ2NbSxZ28SGxraso0iS1GPlWQfoaymlLwJExKyss0iSpOK1oLae7z28gepR5dS92spZh4xlZs3IrGNJktRtRVcQkCSp2H3urrqsI/Sp1fWtrG0ovDPsFWXBnPdUM2lMBcs2NnPub+u49v71WcfqlnHDy5gw0q+BAF85rjrrCJKUmWIYMiBJkjTgxg0vY9KYCgAmjalgt+FlGSeSJKlnLA1LklRgiu2M5i2Pb+SnT2zKOkaPrW1oY9nG5o4eAusKqJfDsVNGMvuAMVnHkCRlzIKAJEnK1OwDxhTkwemC2nouvGt1xxwC5xz2JucQkCQVFAsCkiRJvTCzZiTTq6uoq2+lemQ5Y6scMiBJKixFVxCIiEnAm4DJ+efT8y8tTSl5qUFJktRnxlaVWQiQJBWsoisIAFcAH+n0/LH8/Uxg4YCnkSRJkiRpECq6qwyklE5LKUUXt4VZZ5MkSZIkabAohoLAWRFRHxGHdGfliJgUEfXAxf2cS5IkSZKkQavQhwzMBqryj5d3s81KYHr+cVNfB5IkSZIkqRAUdEEgpbSiF21agaX9EEeSJEmSpIJRDEMGJEmSJElSD1kQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBBV0QSAiFkZEyt8O62abyZ3aLO7vjJIkSZIkDUYFXRDI+xEwEXg0f7B/Y0Q8HxGN+fsvR0RVp/WX59e/NpO0kiRJkiQNAuVZB+gDDSmlOoCIeDtQBpwNPAvsA3wP2BU4CyCl1AbURUR9NnElaeBtaGyjrr6V6pHljK0qyzqOJEmSBoFiKAh0SCn9Dvhdp0XPR8SXgCvJFwQkqdQsqK3new9voHpUOXWvtnLWIWOZWTMy61iSJEnKWFEVBLZjNLAh6xBSMfvcXXVZR8jE6vpW1ja0ZR1jpyrKgjnvqWbSmAqWbWzm3N/Wce3967OO1SPjhpcxYWQp/JfVta8cV511BEmSVISKYQ6B7YqItwKfBb6ddRZJysq44WVMGlMBwKQxFew23CEDkiRJKuIeAhExgdzwgbuBb2QcRypqpXr28pbHN/LTJzZlHWOn1ja0sWxjc0cPgXUF0KthW8dOGcnsA8ZkHUOSJKmoFGVBICKqgXuBxcD/TSmljCNJKkKzDxhTEAepC2rrufCu1R1zCJxz2JucQ0CSJEnFVxCIiInAAuBJ4MMppdaMI0lSpmbWjGR6dZVXGZAkSdJrFFVBICJ2BxYCK4Fzgd0iov3ltflLDkpSyRlbVWYhQJIkSa9RVAUB4Djgbfnbsm1eqwFeGOhAkiRJkiQNRkV1lYGU0o9TSrGd2wtZ55MkSZIkabAohoLAWRFRHxGHdGfliJgUEfXAxf2cS5IkSZKkQavQhwzMBqryj5d3s81KYHr+cVNfB5IkSZIkqRAUdEEgpbSiF21agaX9EEeSJEmSpIJRDEMGJEmSJElSD1kQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBBV0QSAiFkZEyt8O62abyZ3aLO7vjJIkSZIkDUYFXRDI+xEwEXg0IoZExK8jYllEbImIVRExNyL26LT+8vz612aSVpIkSZKkQaAYCgINKaW6lFJL/vm9wMnA3sC/AHsCv2hfOaXUllKqA+oHPKkkSRowGxrbWLK2iQ2NbVlHkSRpUCrPOkBfSiltBeZ0WvRiRHwF+FVEDEspbckmmSRJGkgLauv53sMbqB5VTt2rrZx1yFhm1ozMOpYkSYNKURUEthURbwJmAw9aDJAk9dTn7qrLOkKmVte3srahMM+uV5QFc95TzaQxFSzb2My5v63j2vvXZx2rW8YNL2PCyKL+ivY6XzmuOusIklSSimHIwOtExDURsRlYD0wC3ptxJEmSNIDGDS9j0pgKACaNqWC34WUZJ5IkafAp1vLz14AbgbcClwJzI+I9KaWUbSxJUiEp9bOWtzy+kZ8+sSnrGL2ytqGNZRubO3oIrCugng7HThnJ7APGZB1DklQCirIgkFJaB6wDnomIJeSuLHA48MdMg0mSVEBmHzCmYA9MF9TWc+FdqzvmEDjnsDc5h4AkSdsoyoLANtqHRVRmmkKSJA2YmTUjmV5dRV19K9Ujyxlb5ZABSZK2VVQFgYiYARwE/AnYCEwBrgReyC+TJEklYmxVmYUASZJ2oNgmFWwEZgH3An8nN4/A34AjvMqAJEmSJEn/q6h6CKSU/grMzDqHJEmSJEmDXTH0EDgrIuoj4pDurBwRkyKiHri4n3NJkiRJkjRoFXoPgdlAVf7x8m62WQlMzz9u6utAkiRJkiQVgoIuCKSUVvSiTSuwtB/iSJIkSZJUMIphyIAkSZIkSeohCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJUgCwKSJEmSJJWgTAsCEbEwIr7Vy7aXRUTK3z7Xw7bt7ep7s29JkiRJkgpdofcQ+DswEbi+fUHkXBYRKyOiMV902G+bdhOBcwcwpyRJkiRJg0qhFwRaU0p1KaXNnZZdAHwGOAc4BFgD3B0Ro9pXSCnVAZsGNKkkqdfKt6ynav1iyreszzqKJElS0RgMBYHyiPhmRGzI374WEUMAIuIDEfG3/Jn+lyPivoiYsL0NRUSQO/P/lZTSz1JKi4GPAKOAfx2INyNJ6lu7LLuTqXf9GxP/Ooepd/0buyy7M+tIkiRJRaE86wDAbODHwAxgf+D7wKqIuBW4DbgI+BkwEjhsJ9uqAaqBu9oXpJQaI+IPwDuB7/Z1eEmDT83CT2QdIRNDN6+iorEu6xh9bmtZJc8dcyNNo2uofKWWKfecwVseuiLrWP2muaqalhETs45RVGqP6tV0RZIkFb3BUBBYBXwypZSApyNiL+A8YCEwFJifUnoxv+7inWyrOn+/epvlq4E9+iauJGkgtVSNp2l0DQBNo2toqRpPZf3yjFNJkiQVvsFQEHggXwxotwi4EngO+D2wOCLuyj+en1Jam0FGSQWkVM8Gjn/yRsYv+WHWMfrc0MY1VL5S29FDYGjjmqwj9auNk09kzX5nZB1DkiSVgMFQENieBBxHbpjAccAZwJcj4siU0uPbadPeV3YCsKzT8gmdXpOkorRmvzOK8kByl2V3UrPwYzSP2IOKzStY8Y8XsmnS8VnHkiRJKniDoSDwjoiITr0EDgNWppReyT9fBCyKiCuAJ4EPAdsrCNSSO/B/N/AwQEQMA44Azu+n/JKkfrRp0vFsHn8wQzevomXERFqH7Zp1JEmSpKIwGAoCuwNzIuLbwD+QO3C/KiIOA44F7iQ3B8CBwFuAp7a3oZRSiog5wMUR8TTwDHAJUA/c2p9vQpLUf1qH7WohQJIkqY8NhoLALUAZ8CC5YQI3At8A9gL+CTgHGAMsB65MKc3dyfa+ClQB/wWMzW/3uJTSq/0RXpIkSZKkQpRpQSCldFSnp9teJ2wJ8J5ebDMBl+VvkiRJkiSpC0OyDvAG7RMR9RFxXk8aRUQ9cEM/ZZIkSZIkadAbDEMGeus6oH34wLoetp2ev9/aZ2kkSZIkSSogBVsQSCm9DLzcy7ZL+ziOJEmSJEkFpdCHDEiSJEmSpF6wICBJkiRJUgmyICBJkiRJUgmyICBJkiRJUgmyICBJkiRJUgmyICBJkiRJUgkq6IJARCyMiJS/HdbNNpM7tVnc3xklSZIkSRqMCrogkPcjYCLwKEBEfD4i7o+IzRGRulh/eX79awcwoyRJkiRJg0oxFAQaUkp1KaWW/PNK4OfAnK5WTim1pZTqgPoByidJkkpI+Zb1VK1fTPmW9VlHkSRph8qzDtDXUkpfBIiIWVlnkSRJpWWXZXcy8a9zaB6xBxWbV7Bq+rlsmnR81rEkSepS0RUEJEnKSs3CT2QdoSAM3byKisa6rGP0i61llTx3zI00ja6h8pVaptxzBm956IqsY/Vac1U1LSMmZh0jM7VHfSvrCJLUr4phyIAkSdKg0FI1nqbRNQA0ja6hpWp8xokkSdo+ewhIktRHPJvYPeOfvJHxS36YdYx+MbRxDZWv1Hb0EBjauCbrSG/Ixsknsma/M7KOIUnqJxYEJEnSgFqz3xlFe5C5y7I7qVn4sY45BFb844XOISBJGrQsCEiSJPWRTZOOZ/P4gxm6eRUtIybSOmzXrCNJkrRdRVcQiIhJwJuAyfnn0/MvLU0pealBSZLUr1qH7WohQJJUEIquIABcAXyk0/PH8vczgYUDnkaSJEmSpEGo6K4ykFI6LaUUXdwWZp1NkiRJkqTBohgKAmdFRH1EHNKdlSNiUkTUAxf3cy5JkiRJkgatQh8yMBuoyj9e3s02K4Hp+cdNfR1IkiRJkqRCUNAFgZTSil60aQWW9kMcSZIkSZIKRjEMGZAkSZIkST1kQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBJkQUCSJEmSpBKUaUEgIhZGxLd62faoiEj52+96sd/2tgf3Zv+SJEmSJBWyYughsB/w4c4LIuJfIuKpiGjK379/mzYfAA4dsISSJEmSJA0yxVAQWJNS2tD+JCJmAPOAW4Dp+fs7IuId7euklF4G1g5wTkmSBJRvWU/V+sWUb1mfdRRJkkraYCgIlEfENyNiQ/72tYgYAhARFRFxdUS8mD/b/3xEfHIn2zsXWJBS+lJKaUlK6UvAwvxySZKUoV2W3cnUu/6NiX+dw9S7/o1dlt2ZdSRJkkpWedYBgNnAj4EZwP7A94FVwNeBm4AjgE8BjwFvBd6yk+3NAK7fZtmdwCf6LLEkqc/VLPSf6XZDN6+iorEu6xj9YmtZJc8dcyNNo2uofKWWKfecwVseuiLrWH2iuaqalhETs44xqNUe1aupoyRJ/WQwFARWAZ9MKSXg6YjYCzgvIn4DnAK8J6XUPmng893YXjWweptlq/PLJUlShlqqxtM0ugaAptE1tFSNp7J+ecapJEkqTYOhIPBAvhjQbhFwJbkz/VuBBZmkkiQNKM8c/q/xT97I+CU/zDpGvxjauIbKV2o7eggMbVyTdaQ+s3HyiazZ74ysY0iS1G2DoSDQ1+qACdssm5BfLknSoLdmvzOK9sByl2V3UrPwYzSP2IOKzStY8Y8XsmnS8VnHkiSpJA2GgsA7IiI69RI4DFgJPEBu0sOZwO+217gLi4B3A1/rtOzdwJ/7IKskSXoDNk06ns3jD2bo5lW0jJhI67Bds44kSVLJGgwFgd2BORHxbeAfgPOBq1JKz0TE7cAPIuJTwF+ANwOTU0o372B73wT+EBGfA34JvJ9cUeHwfnwPkiSpm1qH7WohQJKkQWAwFARuAcqAB4EE3Ah8I//aqeTmE7gO2A14qdNrXUop/TkiTgGuAq4AngM+lFJ6sF/SS5IkSZJUgDItCKSUjur09HXXm0opNQEX5G892e58YP4bCidJkiRJUhEbknWAPvBCRPyiJw0i4rfAk/2UR5IkSZKkQW8wDBnorQeBt+Ufb+5h248CVfnHXvxYkiRJklRyCrYgkFJqBJb2su2KPo4jSZIkSVJBKYYhA5IkSZIkqYcsCEiSJEmSVIIsCEiSJEmSVIIsCEiSJEmSVIIsCEiSJEmSVIIsCEiSJEmSVIIKuiAQEQsjIuVvh3WzzeRObRb3d0ZJkiRJkgajgi4I5P0ImAg8ChARn4+I+yNic0SkLtZfnl//2gHMKEmSJEnSoFIMBYGGlFJdSqkl/7wS+Dkwp6uVU0ptKaU6oH6A8kmS1KXyLeupWr+Y8i3rs44iSZJKUHnWAfpaSumLABExK+sskiRtzy7L7mTiX+fQPGIPKjavYNX0c9k06fisY0mSpBJSdAUBSRosahZ+IusIRWXo5lVUNNZlHaPPbC2r5LljbqRpdA2Vr9Qy5Z4zeMtDV2Qdq081V1XTMmJi1jEyV3vUt7KOIElSl4phyIAkSQWnpWo8TaNrAGgaXUNL1fiME0mSpFJjDwFJ6ieeFexb45+8kfFLfph1jD4ztHENla/UdvQQGNq4JutIfW7j5BNZs98ZWceQJEnbYUFAklQQ1ux3RlEdXO6y7E5qFn6sYw6BFf94oXMISJKkAWVBQJKkDGyadDybxx/M0M2raBkxkdZhu2YdSZIklZiiKwhExCTgTcDk/PPp+ZeWppS81KAkadBoHbarhQBJkpSZoisIAFcAH+n0/LH8/Uxg4YCnkSRJkiRpECq6qwyklE5LKUUXt4VZZ5MkSZIkabAohoLAWRFRHxGHdGfliJgUEfXAxf2cS5IkSZKkQavQhwzMBqryj5d3s81KYHr+cVNfB5IkSZIkqRAUdEEgpbSiF21agaX9EEeSJEmSpIJRDEMGJEmSJElSD1kQkCRJkiSpBEVKKesMg15E/A7YLesceo3dgHVZh5AGMT8j0s75OZF2zs+JtGOF8hlZl1I6YduFFgRUkCLikZTSwVnnkAYrPyPSzvk5kXbOz4m0Y4X+GXHIgCRJkiRJJciCgCRJkiRJJciCgArV97IOIA1yfkaknfNzIu2cnxNpxwr6M+IcApIkSZIklSB7CEiSJEmSVIIsCEiSJEmSVIIsCGjQiYiPRURtRGyJiEcj4ogdrPuBiLgrItZGxKsR8WBE/J+BzCtloSefk23aHR4RrRGxuL8zSlnr6eckIioi4op8m6aIWBYRnxyovNJA68Vn5F8j4q8R0RARdRExNyKqByqvNNAi4l0R8euIWBERKSJO60abf4iI+yKiMd/uixERAxC3VywIaFCJiA8B3wSuBg4E/gz8NiImbafJkcC9wEn59f8H+EV3D46kQtSLz0l7u7HAT4B7+j2klLFefk5uA04AzgL2Bj4I/K2fo0qZ6OlnJCL+CbgZuAnYD3gfsC9wy0DklTIyElgMfApo3NnKETEauBtYDRySb3c+cF4/ZnxDnFRQg0pEPAj8LaV0ZqdlzwLzU0oXdXMbDwF/TCl9pp9iSpnq7eckIn4OPA4EMCulNK3fw0oZ6ennJCKOA+4ApqSU1g1cUikbvfiMfBY4J6X01k7LTgeuTymNHIjMUpYioh74RErpxztY52zgGmBCSqkxv+wS4GzgzWkQHnzbQ0CDRkRUAP8I3LXNS3cB7+zBpkYBG/oqlzSY9PZzEhEfAyYAV/VfOmlw6OXn5H3Aw8B5EfFSRDwbEddFhAc6Kjq9/IzcD0yMiH+OnN2AU8j1zpSUM4PcicnOvQnuBHYHJmeSaCcsCGgw2Q0oI9fFprPVQLfGp0XEx4E3k+vSJhWjHn9OIuIfgEuBf0sptfVvPGlQ6M3/J3sChwMHAP8CfILc8IEf909EKVM9/oyklBaRKwDcAjQDa8n1OPtI/8WUCk41XX+u2l8bdCwIqGhExL8AXwP+NaX0YtZ5pMEgIiqBecBnU0q1WeeRBrEhQCL3f8iDKaU7yRUF/iUiJmQbTcpeROwLXA9cSa53wQnkDnC+m2UuSW9MedYBpE7WAW3kujV3NgGo21HDiJhFbrK0U1NKv+mfeNKg0NPPyURgH+BHEfGj/LIhQEREK3BiSmnbLqNSoevN/yergBUppU2dli3J30/i9Wd8pELWm8/IRcBDKaWv5Z//LSI2A3+MiItTSi/1T1SpoNTR9eeq/bVBxx4CGjRSSs3Ao8C7t3np3eRmvu1SRJxMbojAaSml+f2XUMpeLz4nK4B/AKZ3ut0ALM0/3u5nSypUvfz/5H5g923mDNgrf2+vMxWVXn5GhpMrInTW/txjCilnEXBERAzrtOzdwErghUwS7YQ9BDTYfB24OX+lgPuB/yA3CccNABHxE4CU0qn556eQKwZ8FvhDp2vhNqeUXh7g7NJA6fbnJKXUQu5yOR0iYg3QlFJ6zXKpyPTo/xPgVuAL5HrTXAaMIXdJtvkppTUDmlwaGD39jPwG+H5+FvU7yfVAmwP8JaW0bGCjSwMjXySemn86BJgUEdOBl1NKyyLiy8ChKaVj8uvcSm7eph9HxFXkCsufAy4fjFcYAAsCGmRSSvMiYlfgEnL/0Swm16W5/ezMttfG/Q9yf8dz8rd29wFH9WdWKSu9+JxIJaenn5OUUn1EHEtujPTD5K5W80tyX+SkotOLz8iPI2IUubk1rgU2AfcCFw5camnAHQws6PT88vztJuA0cp+dKe0vppQ2RcS7gf8CHiH3f8m15Apwg1IM0kKFJEmSJEnqR473kSRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBFkQkCRJkiSpBP3/4FD+Xzg24JQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = az.plot_forest([samples_chimpanzees, samples_chimpanzees_2],\n", + " combined=True, # Joint all chains \n", + " kind=\"forestplot\", # or ridgeplot to plot densities\n", + " var_names=['alpha', 'beta', 'bs', 'bc'], \n", + " model_names=['samples_chimpanzees', 'samples_chimpanzees_2'],\n", + " transform=inv_logit,\n", + " hdi_prob=0.89,\n", + " figsize=(17, 8))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1e54c425", + "metadata": {}, + "source": [ + "### R Code 11.21\n", + "\n", + "To viewing data from rethinking packages" + ] + }, + { + "cell_type": "markdown", + "id": "44e73c71", + "metadata": {}, + "source": [ + "### R Code 11.22\n", + "\n", + "Comparing two models" + ] + }, + { + "cell_type": "markdown", + "id": "07fc4e32", + "metadata": {}, + "source": [ + "### R Code 11.23" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "1915213b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9314303282351553" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "beta_4 = az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values\n", + "beta_2 = az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values\n", + "\n", + "np.mean( np.exp(beta_4 - beta_2) )" + ] + }, + { + "cell_type": "markdown", + "id": "e1d31e89", + "metadata": {}, + "source": [ + "### R Code 11.24" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "ab2dff83", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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treatmentactorsidecondleft_pulls
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" + ], + "text/plain": [ + " treatment actor side cond left_pulls\n", + "0 1 1 1 1 6\n", + "1 1 2 1 1 18\n", + "2 1 3 1 1 5\n", + "3 1 4 1 1 6\n", + "4 1 5 1 1 6\n", + "5 1 6 1 1 14\n", + "6 1 7 1 1 14\n", + "7 2 1 2 1 9" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = pd.read_csv('./data/chimpanzees.csv', sep=';')\n", + "d['treatment'] = 1 + d['prosoc_left'] + 2 * d['condition']\n", + "d['side'] = d['prosoc_left'] + 1 # right 1, left 2\n", + "d['cond'] = d['condition'] + 1 # no partner 1, partner 2\n", + "\n", + "d_aggregate = d.groupby(['treatment', 'actor', 'side', 'cond'])[['pulled_left']].sum('pulled_left').copy()\n", + "d_aggregate.rename(columns={'pulled_left': 'left_pulls'}, inplace=True) # Rename columns\n", + "d_aggregate.reset_index(inplace=True)\n", + "d_aggregate.head(8)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "66023cc4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "28" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(d_aggregate)" + ] + }, + { + "cell_type": "markdown", + "id": "fa3e127e", + "metadata": {}, + "source": [ + "### R Code 11.25" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "c2031373", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['left_pulls', 'treatment', 'actor', 'side', 'cond', 'N', 'qty_actors', 'qty_treatments'])" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dat = d_aggregate[['left_pulls', 'treatment', 'actor', 'side', 'cond']].to_dict('list')\n", + "dat['N'] = len(d_aggregate)\n", + "dat['qty_actors'] = len(d_aggregate.actor.unique())\n", + "dat['qty_treatments'] = len(d_aggregate.treatment.unique())\n", + "\n", + "dat.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "0587006c", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan__vz9egg2/model_vjg6bgap.stan', line 7, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan__vz9egg2/model_vjg6bgap.stan', line 8, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan__vz9egg2/model_vjg6bgap.stan', line 9, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan__vz9egg2/model_vjg6bgap.stan', line 28, column 30: Argument\n", + " 18 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_actors;\n", + " int qty_treatments;\n", + " \n", + " int left_pulls[N];\n", + " int actor[N];\n", + " int treatment[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_actors] alpha;\n", + " vector[qty_treatments] beta;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " alpha ~ normal(0, 1.5);\n", + " beta ~ normal(0, 0.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " left_pulls ~ binomial(18, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model, data=dat)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "6e71b7d8", + "metadata": {}, + "outputs": [], + "source": [ + "model_chimp_bin = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples,\n", + " observed_data=['left_pulls', 'treatment', 'actor'],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "e4da92ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(\n", + " [model_chimp_bin, samples_chimpanzees],\n", + " var_names=['alpha', 'beta'], \n", + " model_names=['Model Binomial', 'Model Bernoulli'],\n", + " combined=True, \n", + " transform=inv_logit, \n", + " figsize=(16, 6),\n", + " hdi_prob=0.89,\n", + ")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "60ae24f0", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for t in range(4):\n", + " p_chimp_bin = []\n", + " for i in range(7):\n", + " alpha_chimp_bin = model_chimp_bin.posterior.alpha.sel(alpha_dim_0=i).values.flatten()\n", + " beta_chimp_bin = model_chimp_bin.posterior.beta.sel(beta_dim_0=t).values.flatten()\n", + "\n", + " p_chimp_bin.append(inv_logit(alpha_chimp_bin + beta_chimp_bin))\n", + "\n", + " az.plot_density(p_chimp_bin, figsize=(17, 5))\n", + " plt.title(f'Treatment = {t + 1}')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "677e1e4a", + "metadata": {}, + "source": [ + "### R Code 11.26" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "425326b5", + "metadata": {}, + "outputs": [], + "source": [ + "models_to_compare = {'model_chimp_bin': model_chimp_bin, 'samples_chimpanzees': samples_chimpanzees}\n", + "\n", + "# az.compare(models_to_compare) # or use 'elpd_waic' to WAIC\n", + "\n", + "# XXX: Need to make posteriori in model to read in arviz" + ] + }, + { + "cell_type": "markdown", + "id": "570b5d54", + "metadata": {}, + "source": [ + "### R Code 11.27" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "d0187d9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "11.790482659407832\n", + "20.652116257094463\n" + ] + } + ], + "source": [ + "# Deviance of aggregated 6-in-9\n", + "agg = -2 * np.log(stats.binom.pmf(k=6, n=9, p=0.2))\n", + "print(agg)\n", + "\n", + "# Deviance of dis-aggregagted\n", + "k = [1, 1, 1, 1, 1, 1, 0, 0, 0]\n", + "\n", + "not_agg = -2 * np.sum(np.log(stats.bernoulli.pmf(k=k, p=0.2)))\n", + "print(not_agg)" + ] + }, + { + "cell_type": "markdown", + "id": "10b717e1", + "metadata": {}, + "source": [ + "-----------\n", + "\n", + "### My Tests" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "18c93130", + "metadata": {}, + "outputs": [], + "source": [ + "N = 100\n", + "p = np.random.rand()\n", + "\n", + "y = np.random.binomial(1, p, N)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "3bd7f494", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_9ps1k5ca/model_2mkr3rt2.stan', line 4, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data{\n", + " int N;\n", + " int y[N];\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Priori\n", + " alpha ~ normal(0.5, 1);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = inv_logit(alpha);\n", + " }\n", + " \n", + " // Likelihood\n", + " y ~ binomial(1, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N':N,\n", + " 'y': y,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples_test = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "6aa6ecdd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "samples_test_az = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples_test,\n", + " observed_data=['y']\n", + ")\n", + "\n", + "az.plot_density(\n", + " samples_test_az, var_names=['alpha'], \n", + " transform=inv_logit)\n", + "\n", + "az.plot_density(\n", + " samples_test_az, var_names=['alpha'])\n", + "\n", + "az.plot_density(inv_logit(np.random.normal(0.5, 0.5, 1000))) # Priori\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "4d7221dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.21214535724578476 0.199584411979789\n" + ] + } + ], + "source": [ + "print(p, np.mean(inv_logit(samples_test_az.posterior.alpha.values)))" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "6361e9b1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_density(inv_logit(samples_test_az.posterior.alpha.values) - p)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "6e09d9f7", + "metadata": {}, + "outputs": [], + "source": [ + "# Binomial\n", + "\n", + "N = 100\n", + "p = np.random.rand()\n", + "\n", + "y = np.random.binomial(5, p, N)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "a206180e", + "metadata": { + "scrolled": true, + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_73ddg024/model_raar4edp.stan', line 4, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data{\n", + " int N;\n", + " int y[N];\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Priori\n", + " alpha ~ normal(0.5, 1);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = inv_logit(alpha);\n", + " }\n", + " \n", + " // Likelihood\n", + " y ~ binomial(5, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N':N,\n", + " 'y': y,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples_test = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "5c3d0b3e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "samples_test_az = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples_test,\n", + " observed_data=['y']\n", + ")\n", + "\n", + "az.plot_density(\n", + " samples_test_az, var_names=['alpha'], \n", + " transform=inv_logit)\n", + "\n", + "az.plot_density(\n", + " samples_test_az, var_names=['alpha'])\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "ac6e60ba", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.376926619935282 0.39083492880300796\n" + ] + } + ], + "source": [ + "print(p, np.mean(inv_logit(samples_test_az.posterior.alpha.values)))" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "f6fe01ed", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_density(inv_logit(samples_test_az.posterior.alpha.values) - p)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "da479218", + "metadata": {}, + "source": [ + "-----------" + ] + }, + { + "cell_type": "markdown", + "id": "d3513e54", + "metadata": {}, + "source": [ + "### R Code 11.28" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "963188cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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deptapplicant.genderadmitrejectapplications
1Amale512313825
2Afemale8919108
3Bmale353207560
4Bfemale17825
5Cmale120205325
6Cfemale202391593
7Dmale138279417
8Dfemale131244375
9Emale53138191
10Efemale94299393
11Fmale22351373
12Ffemale24317341
\n", + "
" + ], + "text/plain": [ + " dept applicant.gender admit reject applications\n", + "1 A male 512 313 825\n", + "2 A female 89 19 108\n", + "3 B male 353 207 560\n", + "4 B female 17 8 25\n", + "5 C male 120 205 325\n", + "6 C female 202 391 593\n", + "7 D male 138 279 417\n", + "8 D female 131 244 375\n", + "9 E male 53 138 191\n", + "10 E female 94 299 393\n", + "11 F male 22 351 373\n", + "12 F female 24 317 341" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/UCBadmit.csv', sep=';')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "dc19d60d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Percentual total male = 44 %\n", + "Percentual total female = 30 %\n" + ] + } + ], + "source": [ + "total_male_applic = df[df['applicant.gender'] == 'male']['applications'].sum()\n", + "total_male_admit = df[df['applicant.gender'] == 'male']['admit'].sum()\n", + "print('Percentual total male =', int(100*(total_male_admit / total_male_applic)), '%')\n", + "\n", + "total_female_applic = df[df['applicant.gender'] == 'female']['applications'].sum()\n", + "total_female_admit = df[df['applicant.gender'] == 'female']['admit'].sum()\n", + "print('Percentual total female =', int(100*(total_female_admit / total_female_applic)), '%')" + ] + }, + { + "cell_type": "markdown", + "id": "6d4f3efd", + "metadata": {}, + "source": [ + "### R Code 11.29" + ] + }, + { + "cell_type": "markdown", + "id": "40cdc110", + "metadata": {}, + "source": [ + "$$ A_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{GID[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 1.5) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "f225c88a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'admit': [512, 89, 353, 17, 120, 202, 138, 131, 53, 94, 22, 24],\n", + " 'applications': [825, 108, 560, 25, 325, 593, 417, 375, 191, 393, 373, 341],\n", + " 'gid': [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2],\n", + " 'N': 12,\n", + " 'qty_genders': 2}" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['gid'] = np.where(df['applicant.gender'] == 'male', 1, 2)\n", + "\n", + "dat_list = df[['admit', 'applications', 'gid']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_genders'] = len(df.gid.unique())\n", + "dat_list" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "d6045a7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DEPARTMENT ---> A\n", + "The dept A has 62% acceptions rate for male\n", + "The dept A has 82% acceptions rate for female\n", + "\n", + "\n", + "DEPARTMENT ---> B\n", + "The dept B has 63% acceptions rate for male\n", + "The dept B has 68% acceptions rate for female\n", + "\n", + "\n", + "DEPARTMENT ---> C\n", + "The dept C has 36% acceptions rate for male\n", + "The dept C has 34% acceptions rate for female\n", + "\n", + "\n", + "DEPARTMENT ---> D\n", + "The dept D has 33% acceptions rate for male\n", + "The dept D has 34% acceptions rate for female\n", + "\n", + "\n", + "DEPARTMENT ---> E\n", + "The dept E has 27% acceptions rate for male\n", + "The dept E has 23% acceptions rate for female\n", + "\n", + "\n", + "DEPARTMENT ---> F\n", + "The dept F has 5% acceptions rate for male\n", + "The dept F has 7% acceptions rate for female\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for dept_i in df.dept.unique():\n", + " \n", + " print(f'DEPARTMENT ---> {dept_i}')\n", + " \n", + " for gend_i in ['male', 'female']:\n", + " \n", + " applications = df[(df['dept'] == dept_i) & (df['applicant.gender'] == gend_i)]['applications']\n", + " admit = df[(df['dept'] == dept_i) & (df['applicant.gender'] == gend_i)]['admit']\n", + " perc_admit = admit.values / applications.values\n", + "\n", + " print(f'The dept {dept_i} has {int(100 * perc_admit[0])}% acceptions rate for {gend_i}')\n", + " \n", + " print('\\n')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "08cdf06c", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_30ejw6o9/model_zdkc2poh.stan', line 6, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_30ejw6o9/model_zdkc2poh.stan', line 7, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_30ejw6o9/model_zdkc2poh.stan', line 8, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_genders;\n", + " \n", + " int admit[N];\n", + " int applications[N];\n", + " int gid[N];\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_genders] alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " alpha ~ normal(0, 1.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ gid[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " admit ~ binomial(applications, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "a32819bd", + "metadata": {}, + "outputs": [], + "source": [ + "app_gender = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples,\n", + " observed_data=list(dat_list.keys()),\n", + " dims={\n", + " 'alpha': ['gender'],\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "522dfebf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]-0.2210.039-0.296-0.1520.0010.0003410.02607.01.0
alpha[1]-0.8300.052-0.927-0.7350.0010.0013592.02698.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] -0.221 0.039 -0.296 -0.152 0.001 0.000 3410.0 \n", + "alpha[1] -0.830 0.052 -0.927 -0.735 0.001 0.001 3592.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2607.0 1.0 \n", + "alpha[1] 2698.0 1.0 " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(app_gender) # In scale inv-logit" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "65e54287", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(app_gender, var_names=['alpha'], combined=True, figsize=(15,5), transform=inv_logit)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e5f65953", + "metadata": {}, + "source": [ + "### R Code 11.30" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "0df1d526", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha0.6090.0630.4860.7240.0010.0013651.02731.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 0.609 0.063 0.486 0.724 0.001 0.001 3651.0 2731.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 " + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha_1 = app_gender.posterior.alpha.sel(gender=0)\n", + "alpha_2 = app_gender.posterior.alpha.sel(gender=1)\n", + "\n", + "diff_a = alpha_1 - alpha_2\n", + "diff_p = inv_logit(alpha_1) - inv_logit(alpha_2)\n", + "\n", + "az.summary(diff_a) # Shark" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "1b7677ba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha0.1410.0140.1130.1660.00.03641.02919.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 0.141 0.014 0.113 0.166 0.0 0.0 3641.0 2919.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 " + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(diff_p) # Deer" + ] + }, + { + "cell_type": "markdown", + "id": "1de2f992", + "metadata": {}, + "source": [ + "### R Code 11.31" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "eec13014", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(18, 6))\n", + "\n", + "plt.ylim(0, 1.3)\n", + "plt.xlim(0, 5.8)\n", + "plt.axhline(y=1, ls='-', c='black')\n", + "\n", + "depts = df.dept.unique()\n", + "\n", + "for i in range(6):\n", + " plt.axvline(x=i+1, c='black')\n", + " \n", + " dept = depts[i]\n", + "\n", + " plt.text(x=i + 0.25, y=1.1, s=f'Dept {dept}', size=20)\n", + "\n", + " perc_male, perc_female = df.loc[df['dept'] == dept, 'admit'] / df.loc[df['dept'] == dept, 'applications']\n", + "\n", + " plt.plot([0.2 + i, 0.7 + i], [perc_male, perc_female], color='blue') # Line\n", + " plt.plot(0.2 + i, perc_male, 'o', markerfacecolor='white', color='blue') # point male\n", + " plt.plot(0.7 + i, perc_female, 'o', markerfacecolor='blue', color='white') # point female\n", + " \n", + " plt.text(x=0.5 + i, y=max(perc_male, perc_female) + 0.05, s=dept)\n", + " \n", + "plt.title('Posteriori Validation Check')\n", + "plt.ylabel('Admit')\n", + "plt.xlabel('Case')\n", + "plt.yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0], [0, 0.2, 0.4, 0.6, 0.8, 1])\n", + "plt.xticks(np.arange(0, 5.9, 0.5) + 0.2, np.arange(1, 12.1, 1, dtype=int))\n", + "\n", + "plt.show()\n", + "\n", + "# Need put points with open points from samples" + ] + }, + { + "cell_type": "markdown", + "id": "f3bbf673", + "metadata": {}, + "source": [ + "### R Code 11.32" + ] + }, + { + "cell_type": "markdown", + "id": "e71794aa", + "metadata": {}, + "source": [ + "We want ask:\n", + "\n", + " - What is the average difference in probability of admission between women and man within departments?" + ] + }, + { + "cell_type": "markdown", + "id": "09de1a7e", + "metadata": {}, + "source": [ + "$$ A_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{GID[i]} + \\delta_{DEPT[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ \\delta_k \\sim Normal(0, 1.5) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "f189efb0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'admit': [512, 89, 353, 17, 120, 202, 138, 131, 53, 94, 22, 24],\n", + " 'applications': [825, 108, 560, 25, 325, 593, 417, 375, 191, 393, 373, 341],\n", + " 'gid': [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2],\n", + " 'dept_idx': [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6],\n", + " 'N': 12,\n", + " 'qty_genders': 2,\n", + " 'qty_dept': 6}" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['gid'] = np.where(df['applicant.gender'] == 'male', 1, 2)\n", + "\n", + "df['dept_idx'] = [ord(dept_i) - 64 for dept_i in df['dept']] # ord('A') = 65\n", + "\n", + "dat_list = df[['admit', 'applications', 'gid', 'dept_idx']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_genders'] = len(df.gid.unique())\n", + "dat_list['qty_dept'] = len(df.dept_idx.unique())\n", + "\n", + "dat_list" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "d920dd20", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_j8lnz9tc/model_zo74hsu3.stan', line 25, column 60: Comments\n", + " beginning with # are deprecated and this syntax will be removed in Stan\n", + " 2.33.0. Use // to begin line comments; this can be done automatically\n", + " using the auto-format flag to stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_genders;\n", + " int qty_dept;\n", + " \n", + " array[N] int admit;\n", + " array[N] int applications;\n", + " array[N] int gid;\n", + " array[N] int dept_idx;\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_genders] alpha;\n", + " vector[ qty_dept ] delta;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " alpha ~ normal(0, 1.5);\n", + " delta ~ normal(0, 1.5);\n", + " \n", + " for (i in 1:N){\n", + " p[i] = alpha[ gid[i] ] + delta[ dept_idx[i] ]; # O Delta calcula a taxa média de admissão para o departamento i\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " admit ~ binomial(applications, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "a3e3b750", + "metadata": {}, + "outputs": [], + "source": [ + "applic_gender_2 = az.from_pystan(\n", + " posterior_model=posteriori,\n", + " posterior=samples,\n", + " observed_data=list(dat_list.keys()),\n", + " dims = {\n", + " 'alpha': ['gender'],\n", + " 'delta': ['department'],\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "9280ea18", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]-0.5470.523-1.5560.3790.0320.023254.0259.01.01
alpha[1]-0.4460.525-1.3870.5490.0330.023252.0253.01.01
delta[0]1.1270.5260.1992.1470.0320.023257.0292.01.01
delta[1]1.0830.5290.1612.1060.0330.023254.0307.01.01
delta[2]-0.1350.527-1.0570.8810.0330.023254.0268.01.01
delta[3]-0.1660.528-1.1370.8200.0320.023257.0277.01.01
delta[4]-0.6100.531-1.5480.4180.0330.024256.0251.01.01
delta[5]-2.1670.539-3.100-1.1330.0320.023280.0381.01.01
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] -0.547 0.523 -1.556 0.379 0.032 0.023 254.0 \n", + "alpha[1] -0.446 0.525 -1.387 0.549 0.033 0.023 252.0 \n", + "delta[0] 1.127 0.526 0.199 2.147 0.032 0.023 257.0 \n", + "delta[1] 1.083 0.529 0.161 2.106 0.033 0.023 254.0 \n", + "delta[2] -0.135 0.527 -1.057 0.881 0.033 0.023 254.0 \n", + "delta[3] -0.166 0.528 -1.137 0.820 0.032 0.023 257.0 \n", + "delta[4] -0.610 0.531 -1.548 0.418 0.033 0.024 256.0 \n", + "delta[5] -2.167 0.539 -3.100 -1.133 0.032 0.023 280.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 259.0 1.01 \n", + "alpha[1] 253.0 1.01 \n", + "delta[0] 292.0 1.01 \n", + "delta[1] 307.0 1.01 \n", + "delta[2] 268.0 1.01 \n", + "delta[3] 277.0 1.01 \n", + "delta[4] 251.0 1.01 \n", + "delta[5] 381.0 1.01 " + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(applic_gender_2)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "26a67406", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(\n", + " applic_gender_2,\n", + " var_names=['alpha', 'delta'],\n", + " combined=True,\n", + " transform=inv_logit,\n", + " figsize=(17, 6),\n", + " hdi_prob=0.89,\n", + ")\n", + "\n", + "plt.xlim((0, 1))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "fa84b646", + "metadata": {}, + "source": [ + "### R Code 11.33" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "4246c2fc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha-0.1010.082-0.2330.0270.0010.0014107.03513.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha -0.101 0.082 -0.233 0.027 0.001 0.001 4107.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha 3513.0 1.0 " + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha_male = applic_gender_2.posterior.alpha.sel(gender=0)\n", + "alpha_female = applic_gender_2.posterior.alpha.sel(gender=1)\n", + "\n", + "az.summary(alpha_male - alpha_female, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "4a65bd43", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
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" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha -0.022 0.019 -0.054 0.005 0.0 0.0 3187.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha 3078.0 1.0 " + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(inv_logit(alpha_male) - inv_logit(alpha_female), hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "ccf7f2a3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest((inv_logit(alpha_male) - inv_logit(alpha_female)), hdi_prob=0.89, combined=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "68fbeab1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ABCDEF
male0.880.960.350.530.330.52
female0.120.040.650.470.670.48
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" + ], + "text/plain": [ + " A B C D E F\n", + "male 0.88 0.96 0.35 0.53 0.33 0.52\n", + "female 0.12 0.04 0.65 0.47 0.67 0.48" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pg = {}\n", + "pg['male'] = {}\n", + "pg['female'] = {}\n", + "\n", + "dept_i = 'A'\n", + "\n", + "for dept_i in df['dept'].unique():\n", + "\n", + " total = df[df['dept'] == dept_i]['applications'].sum()\n", + " total_male = df[(df['dept'] == dept_i) & (df['applicant.gender'] == 'male')]['applications'].sum()\n", + " total_female = df[(df['dept'] == dept_i) & (df['applicant.gender'] == 'female')]['applications'].sum()\n", + "\n", + " pg['male'][dept_i] = round(total_male / total, 2)\n", + " pg['female'][dept_i] = round(total_female / total, 2)\n", + " \n", + "pd.DataFrame.from_dict(pg).T" + ] + }, + { + "cell_type": "markdown", + "id": "1334e465", + "metadata": {}, + "source": [ + "## Poisson Regression" + ] + }, + { + "cell_type": "markdown", + "id": "97b5e08e", + "metadata": {}, + "source": [ + "### R Code 11.35" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "2e080d53", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The mean is 9.9965 and variance is 10.14188775\n" + ] + } + ], + "source": [ + "N = 10000\n", + "p = 1/1000\n", + "\n", + "y = np.random.binomial(N, p, 10000)\n", + "print(f'The mean is {np.mean(y)} and variance is {np.var(y)}')" + ] + }, + { + "cell_type": "markdown", + "id": "ee432076", + "metadata": {}, + "source": [ + "### R Code 11.36" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "7a669fba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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culturepopulationcontacttotal_toolsmean_TU
0Malekula1100low133.2
1Tikopia1500low224.7
2Santa Cruz3600low244.0
3Yap4791high435.0
4Lau Fiji7400high335.0
5Trobriand8000high194.0
6Chuuk9200high403.8
7Manus13000low286.6
8Tonga17500high555.4
9Hawaii275000low716.6
\n", + "
" + ], + "text/plain": [ + " culture population contact total_tools mean_TU\n", + "0 Malekula 1100 low 13 3.2\n", + "1 Tikopia 1500 low 22 4.7\n", + "2 Santa Cruz 3600 low 24 4.0\n", + "3 Yap 4791 high 43 5.0\n", + "4 Lau Fiji 7400 high 33 5.0\n", + "5 Trobriand 8000 high 19 4.0\n", + "6 Chuuk 9200 high 40 3.8\n", + "7 Manus 13000 low 28 6.6\n", + "8 Tonga 17500 high 55 5.4\n", + "9 Hawaii 275000 low 71 6.6" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/Kline.csv', sep=';')\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "23298ef7", + "metadata": {}, + "source": [ + "$$ y_i \\sim Poisson(\\lambda) $$\n", + "\n", + "The parameter $\\lambda$ is expected value of the outcome y." + ] + }, + { + "cell_type": "markdown", + "id": "146b7c33", + "metadata": {}, + "source": [ + "The *link function* for poisson is the $log$ link.\n", + "\n", + "$$ y_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha + \\beta(x_i - \\bar x) $$" + ] + }, + { + "cell_type": "markdown", + "id": "93380509", + "metadata": {}, + "source": [ + "### R Code 11.37" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "c715dc8d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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culturepopulationcontacttotal_toolsmean_TUlog_populationPcontact_id
0Malekula1100low133.27.003065-1.3613321
1Tikopia1500low224.77.313220-1.1474331
2Santa Cruz3600low244.08.188689-0.5436641
3Yap4791high435.08.474494-0.3465582
4Lau Fiji7400high335.08.909235-0.0467372
5Trobriand8000high194.08.9871970.0070292
6Chuuk9200high403.89.1269590.1034162
7Manus13000low286.69.4727050.3418611
8Tonga17500high555.49.7699560.5468612
9Hawaii275000low716.612.5245262.4465581
\n", + "
" + ], + "text/plain": [ + " culture population contact total_tools mean_TU log_population \\\n", + "0 Malekula 1100 low 13 3.2 7.003065 \n", + "1 Tikopia 1500 low 22 4.7 7.313220 \n", + "2 Santa Cruz 3600 low 24 4.0 8.188689 \n", + "3 Yap 4791 high 43 5.0 8.474494 \n", + "4 Lau Fiji 7400 high 33 5.0 8.909235 \n", + "5 Trobriand 8000 high 19 4.0 8.987197 \n", + "6 Chuuk 9200 high 40 3.8 9.126959 \n", + "7 Manus 13000 low 28 6.6 9.472705 \n", + "8 Tonga 17500 high 55 5.4 9.769956 \n", + "9 Hawaii 275000 low 71 6.6 12.524526 \n", + "\n", + " P contact_id \n", + "0 -1.361332 1 \n", + "1 -1.147433 1 \n", + "2 -0.543664 1 \n", + "3 -0.346558 2 \n", + "4 -0.046737 2 \n", + "5 0.007029 2 \n", + "6 0.103416 2 \n", + "7 0.341861 1 \n", + "8 0.546861 2 \n", + "9 2.446558 1 " + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['log_population'] = np.log(df['population']) # log population\n", + "df['P'] = (df['log_population'] - np.mean(df['log_population'])) / np.std(df['log_population']) #std log population\n", + "df['contact_id'] = [2 if contact_i == 'high' else 1 for contact_i in df['contact'].values ] # CID 1:low; 2:high\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "903da70d", + "metadata": {}, + "source": [ + "#### Model - Poisson Regression\n", + "\n", + "$$ T_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha_{CID[i]} + \\beta_{CID[i]} log(P_i) $$\n", + "\n", + "$$ \\alpha_j \\sim \\mbox{to be determined} $$\n", + "$$ \\beta_j \\sim \\mbox{to be determined} $$\n", + "\n", + "\n", + "-----" + ] + }, + { + "cell_type": "markdown", + "id": "41cb68d3", + "metadata": {}, + "source": [ + "$$ T_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha$$\n", + "\n", + "$$ \\alpha \\sim Normal(0, 10) $$\n" + ] + }, + { + "cell_type": "markdown", + "id": "e2f295fc", + "metadata": {}, + "source": [ + "### R Code 11.38" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "553ac44f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "N = 200\n", + "x = np.linspace(0, 100, N)\n", + "\n", + "y = stats.lognorm.pdf(x=x, s=10, loc=0, scale=20) # See the docs to understanding the parameters\n", + "\n", + "# R Code 11.40\n", + "y_new = stats.lognorm.pdf(x=x, s=0.5, loc=3, scale=20) # See the docs to understanding the parameters\n", + "\n", + "plt.plot(x, y, c='black')\n", + "plt.plot(x, y_new, c='blue')\n", + "\n", + "plt.ylabel('Density')\n", + "plt.xlabel('Mean Number of Tools')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7dc1d31a", + "metadata": {}, + "source": [ + "### R Code 11.39" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "22c86c7e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11155436105.390947" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = np.random.normal(0, 10, 1000)\n", + "lambda_ = np.exp(a)\n", + "np.mean(lambda_)" + ] + }, + { + "cell_type": "markdown", + "id": "1393dc22", + "metadata": {}, + "source": [ + "### R Code 11.40" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "d0dffda4", + "metadata": {}, + "outputs": [], + "source": [ + "# Ploted in R Code 11.38" + ] + }, + { + "cell_type": "markdown", + "id": "045f9679", + "metadata": {}, + "source": [ + "### R Code 11.41" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "7d1198b3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a = np.random.normal(3, 0.5, N) # prior to alpha\n", + "b = np.random.normal(0, 10, N) # prior to beta\n", + "\n", + "x = np.linspace(-2, 2, 100)\n", + "\n", + "prioris = []\n", + "\n", + "plt.figure(figsize=(17, 6))\n", + "\n", + "for i in range(N):\n", + " plt.plot(x, np.exp(a[i] + b[i] * x), c='blue')\n", + " \n", + "plt.xlim(-2, 2)\n", + "plt.ylim(0, 100)\n", + "\n", + "plt.title('Poisson Priori \\n beta ~ Normal(0, 10)')\n", + "plt.xlabel('log population (std)')\n", + "plt.ylabel('total odds')\n", + " \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9953f366", + "metadata": {}, + "source": [ + "### R Code 11.42" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "14f0f74f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a = np.random.normal(3, 0.5, N) # prior to alpha\n", + "b = np.random.normal(0, 0.2, N) # prior to beta\n", + "\n", + "x = np.linspace(-2, 2, 100)\n", + "\n", + "prioris = []\n", + "\n", + "plt.figure(figsize=(17, 6))\n", + "for i in range(N):\n", + " plt.plot(x, np.exp(a[i] + b[i] * x), c='blue')\n", + " \n", + "plt.xlim(-2, 2)\n", + "plt.ylim(0, 100)\n", + "\n", + "plt.title('Poisson Priori \\n beta ~ Normal(0, 0.2)')\n", + "plt.xlabel('log population (std)')\n", + "plt.ylabel('total odds')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4bf2dcda", + "metadata": {}, + "source": [ + "### R Code 11.43" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "70ceb090", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a = np.random.normal(3, 0.5, N) # prior to alpha\n", + "b = np.random.normal(0, 0.2, N) # prior to beta\n", + "\n", + "x_seq = np.linspace(np.log(100), np.log(200000), 100) # log(population)\n", + "\n", + "lambda_poisson = [ np.exp(a[i] + b[i] * x_seq) for i in range(N) ]\n", + "\n", + "plt.figure(figsize=(17,6))\n", + "\n", + "for i in range(N):\n", + " plt.plot(x_seq, lambda_poisson[i], c='blue')\n", + "\n", + "plt.ylim(0, 500)\n", + "plt.xlim(min(x_seq) - 0.1, max(x_seq))\n", + "\n", + "plt.title('a ~ Normal(3, 0.5), b ~ Normal(0, 0.2)')\n", + "plt.xlabel('log population')\n", + "plt.ylabel('total tools')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "25611c39", + "metadata": {}, + "source": [ + "### R Code 11.44" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "d1f30db4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#N = 100\n", + "#a = np.random.normal(3, 0.5, N) # prior to alpha\n", + "#b = np.random.normal(0, 0.2, N) # prior to beta\n", + "\n", + "x_seq = np.linspace(np.log(100), np.log(200000), 100) # log(population)\n", + "\n", + "lambda_poisson_ = [ np.exp(a[i] + b[i] * x_seq) for i in range(N) ]\n", + "\n", + "plt.figure(figsize=(17,6))\n", + "\n", + "for i in range(N):\n", + " plt.plot(np.exp(x_seq), lambda_poisson_[i], c='blue')\n", + "\n", + "plt.ylim(0, 500)\n", + "#plt.xlim(min(np.exp(x_seq)), max(np.exp(x_seq)))\n", + "\n", + "plt.title('a ~ Normal(3, 0.5), b ~ Normal(0, 0.2)')\n", + "plt.xlabel('population')\n", + "plt.ylabel('total tools')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3e03ffb4", + "metadata": {}, + "source": [ + "#### Curiosidade do python" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "b0049940", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = np.linspace(0, 10, 100)\n", + "y = np.exp(2 + 4 * x)\n", + "\n", + "plt.plot(x*2000, y, c='red')\n", + "plt.show()\n", + "\n", + "plt.plot(np.exp(x), y, c='red')\n", + "plt.show()\n", + "\n", + "plt.plot(x*2000, y, c='red')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7eeea48e", + "metadata": {}, + "source": [ + "### R Code 11.45" + ] + }, + { + "cell_type": "markdown", + "id": "930728c5", + "metadata": {}, + "source": [ + "#### Model:\n", + "\n", + "$$ T_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha_{CID[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(3, 0.5) $$\n" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "d99d1734", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model_11_9 = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] int total_tools;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " }\n", + " \n", + " model {\n", + " // Priori\n", + " alpha ~ normal(3, 0.5);\n", + " \n", + " // Likelihood\n", + " total_tools ~ poisson(exp(alpha));\n", + " }\n", + "\"\"\"\n", + "\n", + "data_list = df[['total_tools']].to_dict('list')\n", + "data_list['N'] = len(df)\n", + "\n", + "posteriori = stan.build(model_11_9, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "cd18cda1", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_9_post = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(data_list.keys()),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "8ac01c77", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha3.5420.0533.4443.6450.0010.0011572.02036.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 3.542 0.053 3.444 3.645 0.001 0.001 1572.0 2036.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 " + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_11_9_post, var_names=['alpha'])" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "b5943f5c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_11_9_post, var_names=['alpha'], combined=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f211d335", + "metadata": {}, + "source": [ + "#### Model:\n", + "\n", + "$$ T_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha_{CID[i]} + \\beta_{CID[i]} \\times log(P_i) $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(3, 0.5) $$\n", + "\n", + "$$ \\beta_j \\sim Normal(0, 0.2) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "236c417c", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model_11_9_new = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_cid;\n", + " array[N] int total_tools;\n", + " array[N] real P;\n", + " array[N] int contact_id;\n", + " }\n", + " \n", + " parameters {\n", + " array[qty_cid] real alpha;\n", + " array[qty_cid] real beta;\n", + " }\n", + " \n", + " model {\n", + " vector[N] lambda;\n", + " \n", + " // Priori\n", + " alpha ~ normal(3, 0.5);\n", + " beta ~ normal(0, 0.2);\n", + " \n", + " // Likelihood\n", + " for(i in 1:N){\n", + " lambda[i] = alpha[ contact_id[i] ] + beta[ contact_id[i] ] * P[i];\n", + " lambda[i] = exp(lambda[i]);\n", + " }\n", + " total_tools ~ poisson(lambda);\n", + " }\n", + "\"\"\"\n", + "\n", + "data_list = df[['total_tools', 'P', 'contact_id']].to_dict('list')\n", + "data_list['N'] = len(df)\n", + "data_list['qty_cid'] = len(df.contact_id.unique())\n", + "\n", + "posteriori = stan.build(model_11_9_new, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "f630d538", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_9_new_post = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(data_list.keys()),\n", + " dims={\n", + " 'alpha': ['contact_id'],\n", + " 'beta': ['contact_id'],\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "40b799f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]3.3210.0883.1443.4780.0020.0013353.02928.01.0
alpha[1]3.6100.0733.4733.7470.0010.0013865.02920.01.0
beta[0]0.3600.0500.2650.4530.0010.0012984.03238.01.0
beta[1]0.1920.153-0.0860.4860.0020.0023968.02923.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 3.321 0.088 3.144 3.478 0.002 0.001 3353.0 \n", + "alpha[1] 3.610 0.073 3.473 3.747 0.001 0.001 3865.0 \n", + "beta[0] 0.360 0.050 0.265 0.453 0.001 0.001 2984.0 \n", + "beta[1] 0.192 0.153 -0.086 0.486 0.002 0.002 3968.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2928.0 1.0 \n", + "alpha[1] 2920.0 1.0 \n", + "beta[0] 3238.0 1.0 \n", + "beta[1] 2923.0 1.0 " + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_11_9_new_post)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "376bf3f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_11_9_new_post, var_names=['alpha', 'beta'], combined=True, figsize=(17, 5))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4bb96eee", + "metadata": {}, + "source": [ + "### R Code 11.46" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "502c7bac", + "metadata": {}, + "outputs": [], + "source": [ + "# Need to make a generated_quantities to compute compare\n", + "\n", + "\n", + "dict_to_compare = {\n", + " 'model_11_9_post': model_11_9_post,\n", + " 'model_11_9_new_post': model_11_9_new_post\n", + "}\n", + "\n", + "# az.compare(dict_to_compare)" + ] + }, + { + "cell_type": "markdown", + "id": "51dacca5", + "metadata": {}, + "source": [ + "### R Code 11.47" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "8158cf3c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a_low = model_11_9_new_post.posterior.alpha.sel(contact_id=0).values.flatten() # CID = 0 (low contact) \n", + "b_low = model_11_9_new_post.posterior.beta.sel(contact_id=0).values.flatten() # CID = 0 (low contact)\n", + "\n", + "a_high = model_11_9_new_post.posterior.alpha.sel(contact_id=1).values.flatten() # CID = 1 (high contact) \n", + "b_high = model_11_9_new_post.posterior.beta.sel(contact_id=1).values.flatten() # CID = 1 (high contact)\n", + "\n", + "x_seq = np.linspace(-1.4, 3, 100) # log(population)\n", + "\n", + "lambda_poisson_low = np.array([ np.exp(a_low + b_low * x_seq[i]) for i in range(N)])\n", + "hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])\n", + " \n", + "lambda_poisson_high = np.array([ np.exp(a_high + b_high * x_seq[i]) for i in range(N)])\n", + "hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])\n", + "\n", + "plt.figure(figsize=(17,8))\n", + "\n", + "plt.plot(x_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--') # Low\n", + "plt.fill_between(x_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)\n", + "\n", + "plt.plot(x_seq, lambda_poisson_high.mean(axis=1), c='black', label='High') # High\n", + "plt.fill_between(x_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)\n", + "\n", + "# Plot the points\n", + "plt.scatter(df[df['contact_id'] == 1].P, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')\n", + "plt.scatter(df[df['contact_id'] == 2].P, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')\n", + "\n", + "plt.title('')\n", + "plt.xlabel('log population (std)')\n", + "plt.ylabel('total tools')\n", + "plt.legend(loc='upper left')\n", + "\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "eda1e60f", + "metadata": {}, + "source": [ + "### R Code 11.48" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "2009a830", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a_low = model_11_9_new_post.posterior.alpha.sel(contact_id=0).values.flatten() # CID = 0 (low contact) \n", + "b_low = model_11_9_new_post.posterior.beta.sel(contact_id=0).values.flatten() # CID = 0 (low contact)\n", + "\n", + "a_high = model_11_9_new_post.posterior.alpha.sel(contact_id=1).values.flatten() # CID = 1 (high contact) \n", + "b_high = model_11_9_new_post.posterior.beta.sel(contact_id=1).values.flatten() # CID = 1 (high contact)\n", + "\n", + "p_seq = np.linspace(-5, 3, 100)\n", + "\n", + "# 1.53 is sd of log(population)\n", + "# 9 is mean of log(population)\n", + "pop_seq = np.exp(p_seq * 1.53 + 9)\n", + "\n", + "lambda_poisson_low = np.array([ np.exp(a_low + b_low * p_seq[i]) for i in range(N)])\n", + "hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])\n", + " \n", + "lambda_poisson_high = np.array([ np.exp(a_high + b_high * p_seq[i]) for i in range(N)])\n", + "hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])\n", + "\n", + "plt.figure(figsize=(17,8))\n", + "\n", + "plt.plot(pop_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--') # Low\n", + "plt.fill_between(pop_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)\n", + "\n", + "plt.plot(pop_seq, lambda_poisson_high.mean(axis=1), c='black', label='High') # High\n", + "plt.fill_between(pop_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)\n", + "\n", + "# Plot the points\n", + "plt.scatter(df[df['contact_id'] == 1].population, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')\n", + "plt.scatter(df[df['contact_id'] == 2].population, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')\n", + "\n", + "# Limits graphs\n", + "plt.xlim(-10000, 300000)\n", + "plt.ylim(-3, 90)\n", + "\n", + "plt.title('')\n", + "plt.xlabel('population')\n", + "plt.ylabel('total tools')\n", + "plt.legend(loc='upper left')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "91fb5f51", + "metadata": {}, + "source": [ + "### R Code 11.49 - Overthinking: Modeling tool innovation - Pg 356" + ] + }, + { + "cell_type": "markdown", + "id": "3c6f8a0d", + "metadata": {}, + "source": [ + "Expected number of tools in one time step is:\n", + "\n", + "$$ \\Delta T = \\alpha P^\\beta - \\gamma T $$\n", + "\n", + "\n", + "- $T$: Number of tools\n", + "\n", + "- $\\alpha, \\beta, \\gamma$: Parameters to be estimated\n", + "\n", + "The equilibrium number of tools $T$, just $\\Delta T = 0$ and solve for T.\n", + "\n", + "$$ \\hat{T} = \\frac{\\alpha P^\\beta}{\\gamma} $$\n", + "\n", + "The noise around the outcome will still be $Poisson$, because that is still maximum entropy distribution in this context - `total_tools` is a count with no clear upper bound. The linear model is:\n", + "\n", + "$$ T_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ \\lambda_i = \\frac{\\alpha P^\\beta_i}{\\gamma} $$" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "e04afa42", + "metadata": {}, + "outputs": [], + "source": [ + "N = 100\n", + "\n", + "p_seq = np.linspace(df.log_population.min(), df.log_population.max(), N)\n", + "\n", + "a = np.random.normal(1, 1, N)\n", + "b = np.random.exponential(1, N)\n", + "g = np.random.exponential(1, N)" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "ab9c2d1f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "lambda_ = [(np.exp(a[i]) * (p_seq ** b[i])) / g[i] for i in range(N)] \n", + "\n", + "for i in range(N):\n", + " plt.plot(p_seq, lambda_[i], c='blue')\n", + " \n", + "plt.ylim(0, 100)\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(17, 6))\n", + "for i in range(N):\n", + " plt.plot(np.exp(p_seq), lambda_[i], c='blue')\n", + " \n", + "plt.ylim(0, 100)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "881a941b", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 55% (4400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_cid;\n", + " array[N] int total_tools;\n", + " array[N] real population;\n", + " array[N] int contact_id;\n", + " }\n", + " \n", + " parameters {\n", + " array[qty_cid] real alpha;\n", + " array[qty_cid] real beta;\n", + " real gamma;\n", + " }\n", + " \n", + " model {\n", + " array[N] real lambda;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(1, 1);\n", + " beta ~ exponential(1);\n", + " gamma ~ exponential(1);\n", + " \n", + " for(i in 1:N){\n", + " lambda[i] = (exp(alpha[ contact_id[i] ]) * population[i] ^ beta[ contact_id[i] ])/gamma;\n", + " }\n", + " \n", + " //likelihood\n", + " total_tools ~ poisson(lambda);\n", + " }\n", + "\"\"\"\n", + "\n", + "data_list = df[[\"total_tools\", \"contact_id\", \"population\"]].to_dict('list')\n", + "data_list['N'] = len(df.total_tools)\n", + "data_list['qty_cid'] = len(df.contact_id.unique())\n", + "\n", + "posteriori = stan.build(model, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "9f78dc39", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_11 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(data_list.keys()),\n", + " dims = {\n", + " 'alpha': ['contact_id'],\n", + " 'beta': ['contact_id'],\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "d2abb88d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]0.9170.685-0.3462.2190.0170.0121681.01625.01.01
alpha[1]0.9220.857-0.6822.4880.0200.0151923.01648.01.00
beta[0]0.2610.0330.1980.3230.0010.0002336.01623.01.00
beta[1]0.2920.1060.0840.4810.0030.0021601.01392.01.00
gamma1.1640.7760.1072.5140.0190.0131518.01454.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 0.917 0.685 -0.346 2.219 0.017 0.012 1681.0 \n", + "alpha[1] 0.922 0.857 -0.682 2.488 0.020 0.015 1923.0 \n", + "beta[0] 0.261 0.033 0.198 0.323 0.001 0.000 2336.0 \n", + "beta[1] 0.292 0.106 0.084 0.481 0.003 0.002 1601.0 \n", + "gamma 1.164 0.776 0.107 2.514 0.019 0.013 1518.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 1625.0 1.01 \n", + "alpha[1] 1648.0 1.00 \n", + "beta[0] 1623.0 1.00 \n", + "beta[1] 1392.0 1.00 \n", + "gamma 1454.0 1.00 " + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_11_11)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "59826de1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_11_11, var_names=['alpha', 'beta', 'gamma'], combined=True, figsize=(17, 6))\n", + "\n", + "plt.grid(axis='x', color='white', alpha=0.3, ls='--')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "8f76a5c8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "a_low = model_11_11.posterior.alpha.sel(contact_id=0).values.flatten() # CID = 0 (low contact) \n", + "b_low = model_11_11.posterior.beta.sel(contact_id=0).values.flatten() # CID = 0 (low contact)\n", + "\n", + "a_high = model_11_11.posterior.alpha.sel(contact_id=1).values.flatten() # CID = 1 (high contact) \n", + "b_high = model_11_11.posterior.beta.sel(contact_id=1).values.flatten() # CID = 1 (high contact)\n", + "\n", + "g = model_11_11.posterior.gamma.values.flatten()\n", + "\n", + "\n", + "p_seq = np.linspace(df.log_population.min() -1 , df.log_population.max() + 1, N)\n", + "\n", + "pop_seq = np.exp(p_seq)\n", + "\n", + "lambda_poisson_low = np.array([ (np.exp(a_low) * pop_seq[i] ** b_low)/g for i in range(N)])\n", + "hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])\n", + " \n", + "lambda_poisson_high = np.array([ (np.exp(a_high) * pop_seq[i] ** b_high)/g for i in range(N)])\n", + "hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])\n", + "\n", + "plt.figure(figsize=(17,8))\n", + "\n", + "plt.plot(pop_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--') # Low\n", + "plt.fill_between(pop_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)\n", + "\n", + "plt.plot(pop_seq, lambda_poisson_high.mean(axis=1), c='black', label='High') # High\n", + "plt.fill_between(pop_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)\n", + "\n", + "# Plot the points\n", + "plt.scatter(df[df['contact_id'] == 1].population, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')\n", + "plt.scatter(df[df['contact_id'] == 2].population, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')\n", + "\n", + "# Limits graphs\n", + "plt.xlim(-10000, 290000)\n", + "plt.ylim(10, 90)\n", + "\n", + "plt.title('')\n", + "plt.xlabel('population')\n", + "plt.ylabel('total tools')\n", + "plt.legend(loc='upper left')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "eb962c4b", + "metadata": {}, + "source": [ + "## Example: Exposure and the offset:" + ] + }, + { + "cell_type": "markdown", + "id": "4849e3ee", + "metadata": {}, + "source": [ + "Implicity, $\\lambda$ is equal to an expexted number of events, $\\mu$, per unit time or distance, $\\tau$.\n", + "\n", + "This implies that $\\lambda = \\frac{\\mu}{\\tau}$.\n", + "\n", + "$$ y_i \\sim Poisson(\\lambda_i) $$\n", + "\n", + "$$ log \\lambda_i = log \\frac{\\mu_i}{\\tau_i} = \\alpha + \\beta x_i $$\n", + "\n", + "$$ log \\mu_i = \\log \\tau_i + \\alpha + \\beta x_i $$\n", + "\n", + "The $\\tau$ values are the \"$exposures$\". When $\\tau_i=1$, then $log(\\tau_i) = 0$ and we're back where we started.\n", + "\n", + "Then the model with different exposures just by writing a model like:\n", + "\n", + "$$ y_i \\sim Poisson(\\mu_i) $$\n", + "\n", + "$$ log \\mu_i = log \\tau_i + \\alpha + \\beta x_i $$" + ] + }, + { + "cell_type": "markdown", + "id": "02367d9d", + "metadata": {}, + "source": [ + "### R Code 11.50" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "4657d50c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([4, 0, 0, 4, 3, 0, 2, 2, 2, 5, 0, 1, 3, 1, 4, 3, 3, 3, 3, 1, 2, 0,\n", + " 1, 1, 2, 1, 3, 4, 0, 0])" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num_days = 30\n", + "\n", + "y = np.random.poisson(lam=1.5 ,size=num_days)\n", + "y" + ] + }, + { + "cell_type": "markdown", + "id": "d6aea078", + "metadata": {}, + "source": [ + "### R Code 11.51" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "173c11e1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([4, 2, 3, 3])" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num_weeks = 4\n", + "\n", + "y_new = np.random.poisson(lam=0.5*7, size=num_weeks)\n", + "y_new" + ] + }, + { + "cell_type": "markdown", + "id": "494fc8ee", + "metadata": {}, + "source": [ + "### R Code 11.52" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "bb90b77b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " y days monastery\n", + "0 4 1 0\n", + "1 0 1 0\n", + "2 0 1 0\n", + "3 4 1 0\n", + "4 3 1 0\n", + "5 0 1 0\n", + "6 2 1 0\n", + "7 2 1 0\n", + "8 2 1 0\n", + "9 5 1 0\n", + "10 0 1 0\n", + "11 1 1 0\n", + "12 3 1 0\n", + "13 1 1 0\n", + "14 4 1 0\n", + "15 3 1 0\n", + "16 3 1 0\n", + "17 3 1 0\n", + "18 3 1 0\n", + "19 1 1 0\n", + "20 2 1 0\n", + "21 0 1 0\n", + "22 1 1 0\n", + "23 1 1 0\n", + "24 2 1 0\n", + "25 1 1 0\n", + "26 3 1 0\n", + "27 4 1 0\n", + "28 0 1 0\n", + "29 0 1 0\n", + "30 4 7 1\n", + "31 2 7 1\n", + "32 3 7 1\n", + "33 3 7 1" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_all = np.concatenate([y, y_new])\n", + "exposure = np.concatenate([np.repeat(1, 30), np.repeat(7, 4)])\n", + "monastery = np.concatenate([np.repeat(0, 30), np.repeat(1, 4)])\n", + "\n", + "df = pd.DataFrame.from_dict(dict(y=y_all, days=exposure, monastery=monastery))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "4390532d", + "metadata": {}, + "source": [ + "### R Code 11.52" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "dd77a94d", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] int y;\n", + " array[N] real log_days;\n", + " array[N] int monastery;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " }\n", + " \n", + " model {\n", + " array[N] real lambda;\n", + " \n", + " alpha ~ normal(0, 1);\n", + " beta ~ normal(0, 1);\n", + " \n", + " for (i in 1:N){\n", + " lambda[i] = log_days[i] + alpha + monastery[i] * beta ;\n", + " lambda[i] = exp(lambda[i]);\n", + " }\n", + " \n", + " y ~poisson(lambda);\n", + " }\n", + "\"\"\"\n", + "\n", + "df['log_days'] = np.log(df['days'])\n", + "\n", + "data_list = df[['y', 'log_days', 'monastery']].to_dict('list')\n", + "data_list['N'] = len(df)\n", + "\n", + "posteriori = stan.build(model, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "d7f425ab", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_12 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(data_list.keys())\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "99ef1649", + "metadata": {}, + "source": [ + "### R Code 11.54" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "2f0a6df4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 1.871 0.244 1.444 2.34 0.005 0.004 2097.0 1945.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 " + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha = model_11_12.posterior.alpha\n", + "beta = model_11_12.posterior.beta\n", + "\n", + "lambda_old = np.exp(alpha)\n", + "lambda_new = np.exp(alpha + beta)\n", + "\n", + "\n", + "az.plot_forest(lambda_old, var_names=['alpha'], combined=True)\n", + "plt.show()\n", + "az.summary(lambda_old)" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "c9f70f29", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
x0.4790.1260.2510.710.0020.0023170.02567.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "x 0.479 0.126 0.251 0.71 0.002 0.002 3170.0 2567.0 \n", + "\n", + " r_hat \n", + "x 1.0 " + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.plot_forest(lambda_new, combined=True)\n", + "plt.show()\n", + "\n", + "az.summary(lambda_new)" + ] + }, + { + "cell_type": "markdown", + "id": "6b7f771d", + "metadata": {}, + "source": [ + "## Predictors matched to outcomes" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "94781378", + "metadata": {}, + "outputs": [], + "source": [ + "def softmax(scores_list):\n", + " return np.exp(scores_list) / np.sum(np.exp(scores_list))" + ] + }, + { + "cell_type": "markdown", + "id": "6e67aadc", + "metadata": {}, + "source": [ + "### R Code 11.55" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "1fb801d7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Career choiced: [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 2, 2, 3, 3, 3] \n", + "Income: [1 2 5] \n", + "Score: [0.5 1. 2.5]\n" + ] + } + ], + "source": [ + "# Simulate career choices among 500 individuals\n", + "\n", + "N = 500 # number individuals\n", + "income = np.array([1, 2, 5]) # expected income of each career\n", + "score = income * 0.5 # scores for each career, based on income\n", + "\n", + "# next line converts scores to probabilities\n", + "p = softmax([score[0], score[1], score[2]])\n", + "\n", + "career = [np.random.choice([1, 2, 3], size=1, p=p)[0] for _ in range(N)]\n", + "\n", + "print('Career choiced: ', career[:20], '\\nIncome: ', income, '\\nScore: ', score)" + ] + }, + { + "cell_type": "markdown", + "id": "45b68423", + "metadata": {}, + "source": [ + " ### R Code 11.56" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "201450e7", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N; // number of individuals - Here is 500\n", + " int K; // number of possible careers - Here is 3\n", + " \n", + " array[N] int career; // outcome\n", + " vector[K] career_income;\n", + " }\n", + " \n", + " parameters {\n", + " vector[K-1] a; // intercepts\n", + " real b; // association of income with choice\n", + " }\n", + " \n", + " model {\n", + " vector[K] p;\n", + " vector[K] s;\n", + " \n", + " a ~ normal(0, 1);\n", + " b ~ normal(0, 0.5);\n", + " \n", + " s[1] = a[1] + b * career_income[1];\n", + " s[2] = a[2] + b * career_income[2];\n", + " s[3] = 0; // pivot\n", + " \n", + " p = softmax( s );\n", + " \n", + " career ~ categorical(p);\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = dict({\n", + " 'N': len(career), # 500\n", + " 'K': len(score), # 3\n", + " 'career': career,\n", + " 'career_income': income,\n", + "})\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "4b50f7c1", + "metadata": {}, + "source": [ + "### R Code 11.57" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "25b56228", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.16525252892399064" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.std(samples['a'][0])" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "id": "92299214", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_13 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(dat_list.keys()),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "6e905d9d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
a[0]-2.0730.165-2.423-1.8080.0070.005668.0608.01.01
a[1]-1.7300.216-2.145-1.3610.0110.008436.0429.01.00
b0.1220.0960.0000.2990.0050.004431.0569.01.00
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "a[0] -2.073 0.165 -2.423 -1.808 0.007 0.005 668.0 608.0 \n", + "a[1] -1.730 0.216 -2.145 -1.361 0.011 0.008 436.0 429.0 \n", + "b 0.122 0.096 0.000 0.299 0.005 0.004 431.0 569.0 \n", + "\n", + " r_hat \n", + "a[0] 1.01 \n", + "a[1] 1.00 \n", + "b 1.00 " + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_11_13)" + ] + }, + { + "cell_type": "markdown", + "id": "ddd49704", + "metadata": {}, + "source": [ + "obs: This model not fitting like a book!\n", + "\n", + "*TODO*: Read this in future!\n", + "\n", + "Explanations:\n", + "https://github.com/pymc-devs/pymc-resources/blob/main/Rethinking_2/Chp_11.ipynb\n", + "\n", + "The model described in the book does not sample well in PyMC. It does slightly better if we change the pivot category to be the first career instead of the third, but this is still suboptimal because we are discarding predictive information from the pivoted category (i.e., its unique career income).\n", + "\n", + "In fact, it is not necessary to pivot the coefficients of variables that are distinct for each category (what the author calls predictors matched to outcomes), as it is done for the coefficients of shared variables (what the author calles predictors matched to observations). The intercepts belong to the second category, and as such they still need to be pivoted. These two references explain this distinction clearly:\n", + "\n", + "Hoffman, S. D., & Duncan, G. J. (1988). Multinomial and conditional logit discrete-choice models in demography. Demography, 25(3), 415-427 [pdf link](https://www.jstor.org/stable/pdf/2061541.pdf)\n", + "Croissant, Y. (2020). Estimation of Random Utility Models in R: The mlogit Package. Journal of Statistical Software, 95(1), 1-41 pdf [pdf link](https://www.jstatsoft.org/index.php/jss/article/view/v095i11/v95i11.pdf)" + ] + }, + { + "cell_type": "markdown", + "id": "b7966c14", + "metadata": {}, + "source": [ + "### R Code 11.58" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "afaf2887", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
x0.0380.0330.00.1010.0020.001436.0554.0NaN
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "x 0.038 0.033 0.0 0.101 0.002 0.001 436.0 554.0 \n", + "\n", + " r_hat \n", + "x NaN " + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = model_11_13.posterior.a\n", + "b = model_11_13.posterior.b\n", + "\n", + "\n", + "s1 = (a.sel(a_dim_0=0) + b * income[0]).values.flatten()\n", + "s2_old = (a.sel(a_dim_0=1) + b * income[1]).values.flatten()\n", + "s2_new = (a.sel(a_dim_0=1) + b * income[1] * 2).values.flatten()\n", + "\n", + "p_orig = [softmax([s1[i], s2_old[i], 0]) for i in range(len(s1)) ]\n", + "p_new = [softmax([s1[i], s2_new[i], 0]) for i in range(len(s1)) ]\n", + "\n", + "# Summarize\n", + "p_diff = np.transpose(p_new)[1] - np.transpose(p_orig)[1]\n", + "\n", + "az.plot_forest([np.transpose(p_new)[1], np.transpose(p_orig)[1], p_diff], model_names=['new', 'old', 'diff_new_to_old'])\n", + "plt.show()\n", + "\n", + "az.summary(p_diff)" + ] + }, + { + "cell_type": "markdown", + "id": "a7b72c30", + "metadata": {}, + "source": [ + "So on average a $5\\%$ increase in probability of choosing the career, when the income is doubled." + ] + }, + { + "cell_type": "markdown", + "id": "94979d33", + "metadata": {}, + "source": [ + "## Predictors Matched to observations (pg 362)" + ] + }, + { + "cell_type": "markdown", + "id": "5bad7f0f", + "metadata": {}, + "source": [ + "### R Code 11.59" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "184eb05a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Career choiced: [3 3 1 3 3 3 3 2 3 3 2 3 2 3 3]\n", + "Family Income: [0.88220597 0.26090131 0.41481564 0.95091294 0.31800893]\n" + ] + } + ], + "source": [ + "N = 500\n", + "\n", + "# Simulate family incomes for each individual\n", + "family_income = np.random.uniform(0, 1, N)\n", + "\n", + "b = np.array([-2, 0, 2])\n", + "career = np.empty(N)\n", + "\n", + "for i in range(N):\n", + " score = np.array([1, 2, 3]) * 0.5 + b * family_income[i]\n", + " p = softmax([score[0], score[1], score[2]])\n", + " career[i] = np.random.choice([1, 2, 3], size=1, p=p)\n", + " \n", + "career = career.astype(int)\n", + "print('Career choiced: ', career[:15])\n", + "print('Family Income: ', family_income[:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "e877f5ae", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (2/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (3/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (4/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% 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"\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 29% (2300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 31% (2500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 39% (3100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 41% (3300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 42% (3400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 58% (4600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 72% (5800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000368 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 3.68 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000398 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 3.98 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000579 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 5.79 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000367 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 3.67 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data{\n", + " int N;\n", + " int K;\n", + " array[N] int career;\n", + " array[N] real family_income;\n", + " }\n", + " \n", + " parameters {\n", + " vector[K-1] a; // intercepts\n", + " vector[K-1] b; // coefficients on family income\n", + " }\n", + " \n", + " model {\n", + " vector[K] p;\n", + " vector[K] s;\n", + " \n", + " a ~ normal(1, 1.5);\n", + " b ~ normal(0, 1);\n", + " \n", + " for (i in 1:N) {\n", + " for (j in 1:(K-1)) s[j] = a[j] + b[j]*family_income[i];\n", + " s[K] = 0;\n", + " p = softmax( s );\n", + " career[i] ~ categorical( p );\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': N,\n", + " 'K': len(b),\n", + " 'career': career,\n", + " 'family_income': family_income,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "5e782228", + "metadata": {}, + "outputs": [], + "source": [ + "model_11_14 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "d48d7066", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
a[0]-1.3060.266-1.802-0.8120.0060.0042149.02219.01.0
a[1]-0.6390.201-1.019-0.2700.0040.0032279.02078.01.0
b[0]-2.2760.550-3.329-1.2550.0120.0082176.02278.01.0
b[1]-1.5360.383-2.263-0.8260.0080.0062294.01994.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "a[0] -1.306 0.266 -1.802 -0.812 0.006 0.004 2149.0 2219.0 \n", + "a[1] -0.639 0.201 -1.019 -0.270 0.004 0.003 2279.0 2078.0 \n", + "b[0] -2.276 0.550 -3.329 -1.255 0.012 0.008 2176.0 2278.0 \n", + "b[1] -1.536 0.383 -2.263 -0.826 0.008 0.006 2294.0 1994.0 \n", + "\n", + " r_hat \n", + "a[0] 1.0 \n", + "a[1] 1.0 \n", + "b[0] 1.0 \n", + "b[1] 1.0 " + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_11_14)" + ] + }, + { + "cell_type": "markdown", + "id": "fe05e691", + "metadata": {}, + "source": [ + "## Multinomial disguise as Poisson" + ] + }, + { + "cell_type": "markdown", + "id": "19d581bd", + "metadata": {}, + "source": [ + "### R Code 11.60" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "f4dd6b2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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deptapplicant.genderadmitrejectapplications
1Amale512313825
2Afemale8919108
3Bmale353207560
4Bfemale17825
5Cmale120205325
6Cfemale202391593
7Dmale138279417
8Dfemale131244375
9Emale53138191
10Efemale94299393
11Fmale22351373
12Ffemale24317341
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" + ], + "text/plain": [ + " dept applicant.gender admit reject applications\n", + "1 A male 512 313 825\n", + "2 A female 89 19 108\n", + "3 B male 353 207 560\n", + "4 B female 17 8 25\n", + "5 C male 120 205 325\n", + "6 C female 202 391 593\n", + "7 D male 138 279 417\n", + "8 D female 131 244 375\n", + "9 E male 53 138 191\n", + "10 E female 94 299 393\n", + "11 F male 22 351 373\n", + "12 F female 24 317 341" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/UCBadmit.csv', sep=';')\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "e4948e82", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([512, 89, 353, 17, 120, 202, 138, 131, 53, 94, 22, 24])" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.admit.values" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "124bc6be", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model_bin = \"\"\"\n", + " data{\n", + " int N;\n", + " array[N] int admit;\n", + " array[N] int applications;\n", + " }\n", + " \n", + " parameters {\n", + " real a;\n", + " }\n", + " \n", + " model {\n", + " real p;\n", + " \n", + " a ~ normal(0, 1.5);\n", + " p = inv_logit(a);\n", + " \n", + " admit ~ binomial(applications, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list_bin = {\n", + " 'N': len(df),\n", + " 'admit': df.admit.values,\n", + " 'applications': df.applications.values,\n", + "}\n", + "\n", + "posteriori_bin = stan.build(model_bin, data=dat_list_bin)\n", + "samples_bin = posteriori_bin.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "d669b873", + "metadata": {}, + "outputs": [], + "source": [ + "m_bin = az.from_pystan(\n", + " posterior=samples_bin,\n", + " posterior_model=posteriori_bin \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "bd2041e6", + "metadata": {}, + "source": [ + "### R Code 11.62" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "37a724e1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", 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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
a0.3880.0070.3740.4020.00.01343.01691.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "a 0.388 0.007 0.374 0.402 0.0 0.0 1343.0 1691.0 \n", + "\n", + " r_hat \n", + "a 1.0 " + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.plot_forest(\n", + " m_bin,\n", + " var_names=['a'],\n", + " combined=True,\n", + " transform=inv_logit,\n", + " figsize=(17, 3),\n", + " hdi_prob=0.89,\n", + ")\n", + "plt.show()\n", + "\n", + "az.summary(inv_logit(m_bin.posterior.a))" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "id": "78c2b417", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "# RCode 11.61 - Poisson model\n", + "\n", + "model_poi = \"\"\"\n", + " data{\n", + " int N;\n", + " array[N] int admit;\n", + " array[N] int rej;\n", + " array[N] int applications;\n", + " }\n", + " \n", + " parameters {\n", + " real a1;\n", + " real a2;\n", + " }\n", + " \n", + " model {\n", + " real lambda_1;\n", + " real lambda_2;\n", + " \n", + " a1 ~ normal(0, 1.5);\n", + " a2 ~ normal(0, 1.5);\n", + " \n", + " lambda_1 = exp(a1);\n", + " lambda_2 = exp(a2);\n", + " \n", + " admit ~ poisson(lambda_1);\n", + " rej ~ poisson(lambda_2);\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list_poi = {\n", + " 'N': len(df),\n", + " 'admit': df.admit.values,\n", + " 'rej': df.reject.values,\n", + " 'applications': df.applications.values,\n", + "}\n", + "\n", + "posteriori_poi = stan.build(model_poi, data=dat_list_poi)\n", + "samples_poi = posteriori_poi.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "c29f3654", + "metadata": {}, + "outputs": [], + "source": [ + "m_poi = az.from_pystan(\n", + " posterior=samples_poi,\n", + " posterior_model=posteriori_poi \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "a4a436d3", + "metadata": {}, + "source": [ + "### R Code 11.63" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "14c97864", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
x0.3880.0070.3740.4010.00.03787.02203.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "x 0.388 0.007 0.374 0.401 0.0 0.0 3787.0 2203.0 \n", + "\n", + " r_hat \n", + "x 1.0 " + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lam1 = np.exp(m_poi.posterior.a1)\n", + "lam2 = np.exp(m_poi.posterior.a2)\n", + "\n", + "resp = lam1 / (lam1 + lam2)\n", + "\n", + "az.plot_forest(resp, \n", + " combined=True,\n", + " figsize=(17, 3),\n", + " hdi_prob=0.89)\n", + "plt.show()\n", + "\n", + "az.summary(resp)" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_12.ipynb b/_sources/parte_12.ipynb new file mode 100644 index 0000000..dd4ae24 --- /dev/null +++ b/_sources/parte_12.ipynb @@ -0,0 +1,3106 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e9bf0146", + "metadata": {}, + "source": [ + "# 12 - Monstros e Misturas" + ] + }, + { + "cell_type": "markdown", + "id": "16ed1f97", + "metadata": {}, + "source": [ + "## Imports, loadings and functions" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "39e7ebea", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7a78c92f", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "57b999a1", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8781d488", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bbe1f6a8", + "metadata": {}, + "outputs": [], + "source": [ + "# Utils functions\n", + "\n", + "def logit(p):\n", + " return np.log(p) - np.log(1 - p)\n", + "\n", + "def inv_logit(p):\n", + " return np.exp(p) / (1 + np.exp(p))" + ] + }, + { + "cell_type": "markdown", + "id": "ab28e2ba", + "metadata": {}, + "source": [ + "## 12.1 Over-dispersed counts" + ] + }, + { + "cell_type": "markdown", + "id": "ab82128c", + "metadata": {}, + "source": [ + "### 12.1.1 Beta-Binomial" + ] + }, + { + "cell_type": "markdown", + "id": "19b77036", + "metadata": {}, + "source": [ + "Beta distributuion:\n", + "\n", + "$$ x \\sim beta(\\bar{p}, \\theta) $$\n", + "\n", + "\n", + "another parametrization:\n", + "\n", + "$$ x \\sim beta(\\alpha, \\beta) $$\n", + "\n", + "where:\n", + "$$ \\alpha = \\bar{p} \\theta $$\n", + "\n", + "$$ \\beta = (1 - \\bar{p}) \\theta$$" + ] + }, + { + "cell_type": "markdown", + "id": "c522cc7f", + "metadata": {}, + "source": [ + "### R Code 12.1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d6210aa8", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_beta(p_bar, theta):\n", + " alpha = p_bar * theta # Alpha = p * theta\n", + " beta = (1 - p_bar) * theta # beta = (1-p) * theta\n", + "\n", + " x = np.linspace(0, 1, num=100)\n", + "\n", + " plt.figure(figsize=(17, 5))\n", + "\n", + " plt.plot(x, stats.beta.pdf(x, alpha, beta))\n", + "\n", + " plt.title(f'Beta Distribution \\n\\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \\n\\n $pbar={p_bar}$, $theta={theta}$')\n", + " plt.ylabel('Density')\n", + " plt.xlabel('x')\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "53e6ce75", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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nqn5lGNG+rqpuTPLCJJtGxY9M8lc7qM6NmYxST9s7ybcW69zd/9Td3+ru73X325N8IsmTZjzXQzIZzU+SVFVlch0+ONXniPzwO+uPT3LXJP+8aUQ8yd9k8sHCjxxvOOaWrtt2qaq7JHlHJh9anLIjjgkA20NwB4BtNKwYf3CS66c2/3KS84f2QzIJx9PtT8lkuniq6nFJXpnkdzJZcX1NkuuSfHrYd/cki472Dt8B37iZx/mL7HJZklVVdejUtqMy+zTwTlJLdRpC7xG54wj5A4af66e2HT3VZ98k7+/ufaYe9+zuYxc73pau24JatvYabfqQ4W2ZTOd/and/f6n3DADzJrgDwLZbm+S2JE8fFkz7uSTPS/KyqfZbh/a7DO2/keTUof2oTBZe+0wm07xPz2TEft3Q9tnu/sFiJ+7u46dWfF/4+JE/YdbdNyd5X5JTq+ruVfXoJCdkMrJ8B1W1T1X9bFXtObyvZyT5mUxGwTf1OaOqzliktLsNj+nfMY4c3ktPbTs6PxxF/79J/n0Nf+O9qvauqhOGEL3Y8bZ03bb5Gg1OS/LgJL+wLSvgA8A8CO4AsO3WZvI96Ecl2ZDkj5L8Ynevm2o/M8mjh/aXJjmhuy8f2t+Vyaj6DUnOTXJ5knXdfUsW/5749npeJiH4uiTvTvKb3X1pcvvo9IuGfrsneXkmMwW+nuS3h/c1PRX94Eymz9/B8AHBm5Ksq6qrhs1rc8ep82uS3CfJ54Z9Lszkw4y/rqqNmQTw43piseNt6bpts2GWw3MzmZr/b1Oj88/YnuMCwPaqO374DQDMqqpOS3JZd792pWtZTlW1RyZB/EhTyQFg/oy4A8C2W5vk8ytdxHLr7lu6+8FCOwAsD8EdALbdEdnM4nEAADuKqfIAAAAwYkbcAQAAYMQEdwAAABixVStdwI6yevXqPuCAA1a6DAAAANhq69at+3p332uxtjtNcD/ggANy1llnrXQZAAAAsNXWrl37lc21mSoPAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBigjsAAACMmOAOAAAAIya4AwAAwIgJ7gAAADBicwvuVXV6VV1XVZ/bTHtV1euran1VXVJVD13QvndVXVVVfz6vGgEAAGDs5jnifkaS47bQfnySQ4fHyUlOW9D+x0k+NpfKAAAAYCcxt+De3R9LcsMWupyQ5MyeuCjJPlV13ySpqp9Msn+Sv51XfQAAALAzWMnvuB+Y5Mqp11clObCq7pLkz5K8YEWqAgAAgBEZ4+J0z0tyXndftVTHqjq5qi6uqos3bNiwDKUBAADA8lq1gue+OsnBU68PGrY9Ksljqup5SfZKskdVbezuFy48QHe/JclbkuTwww/v+ZcMAAAAy2slg/s5SU6pqvckeUSSm7r72iTP2NShqk5KcsxioR0AAAB2BXML7lX17iTHJllTVVcleWmS3ZOku9+U5LwkT0qyPsm3kzx7XrUAAADAzmpuwb27T1yivZP81hJ9zsjkz8oBAADALmmMi9MBAAAAA8EdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDEBHcAAAAYMcEdAAAARkxwBwAAgBET3AEAAGDE5hbcq+r0qrquqj63mfaqqtdX1fqquqSqHjpsf0hVXVhVlw7b/9O8agQAAICxm+eI+xlJjttC+/FJDh0eJyc5bdj+7STP6u7Dh/3/R1XtM78yAQAAYLxWzevA3f2xqrr/FrqckOTM7u4kF1XVPlV13+6+bOoY11TVdUnuleTGedUKAAAAY7WS33E/MMmVU6+vGrbdrqoenmSPJF9axroAAABgNEa7OF1V3TfJO5I8u7t/sJk+J1fVxVV18YYNG5a3QAAAAFgGKxncr05y8NTrg4Ztqaq9k3woyYu7+6LNHaC739Ldx3T3MatXr55rsQAAALASVjK4n5PkWcPq8o9MclN3X1tVeyR5fybffz97BesDAACAFTe3xemq6t1Jjk2ypqquSvLSJLsnSXe/Kcl5SZ6UZH0mK8k/e9j1Pyb5mST7VdVJw7aTuvvT86oVAAAAxmqeq8qfuER7J/mtRba/M8k751UXAAAA7ExGuzgdAAAAILgDAADAqAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIzYTMG9qt5XVT9XVYI+AAAALKNZg/hfJHl6ksur6r9X1U/MsSYAAABgMFNw7+6/6+5nJHloki8n+buq+j9V9eyq2n2eBQIAAMCubOap71W1X5KTkvyXJJ9K8rpMgvwFc6kMAAAAyKpZOlXV+5P8RJJ3JPmF7r52aDqrqi6eV3EAAACwq5spuCd5a3efN72hqu7a3d/r7mPmUBcAAACQ2afKv3yRbRfuyEIAAACAH7XFEfequk+SA5PcraqOTlJD095JfmzOtQEAAMAub6mp8j+byYJ0ByV5zdT2byV50ZxqAgAAAAZbDO7d/fYkb6+qp3b3Xy9TTQAAAMBgqanyz+zudya5f1X97sL27n7NIrsBAAAAO8hSU+XvPvzca96FAAAAAD9qqanybx5+/tHylAMAAABMm+nPwVXVn1bV3lW1e1V9pKqur6pnLrHP6VV1XVV9bjPtVVWvr6r1VXVJVT10qu3Xqury4fFrW/eWAAAA4M5j1r/j/sTu/maSn0/y5SQPTPJ7S+xzRpLjttB+fJJDh8fJSU5LkqraN8lLkzwiycOTvLSqVs9YJwAAANypzBrcN02p/7kkf9XdNy21Q3d/LMkNW+hyQpIze+KiJPtU1X0z+RN0F3T3Dd29IckF2fIHAAAAAHCntdTidJucW1VfSPKdJL9ZVfdK8t3tPPeBSa6cen3VsG1z2+803nLxDbnihltWugwAAIA7tR/fd4+cfMy+K13GdptpxL27X5jkp5Ic093fT3JzJiPmK6qqTq6qi6vq4g0bNqx0OQAAALDDzTriniT/LpO/5z69z5nbce6rkxw89fqgYdvVSY5dsP2jix2gu9+S5C1Jcvjhh/d21LKs7gyf+AAAALA8Zl1V/h1JXp3kp5M8bHgcs53nPifJs4bV5R+Z5KbuvjbJh5M8sapWD4vSPXHYBgAAALucWUfcj0lyWHfPPKpdVe/OZOR8TVVdlclK8bsnSXe/Kcl5SZ6UZH2Sbyd59tB2Q1X9cZJPDoc6tbu3tMgdAAAA3GnNGtw/l+Q+Sa6d9cDdfeIS7Z3ktzbTdnqS02c9FwAAANxZzRrc1yRZV1X/nOR7mzZ295PnUhUAAACQZPbg/rJ5FgEAAAAsbqbg3t3/WFWHJDm0u/+uqn4syW7zLQ0AAACYdVX5X09ydpI3D5sOTPKBOdUEAAAADGYK7pksIvfoJN9Mku6+PMm951UUAAAAMDFrcP9ed9+y6UVVrUoy85+GAwAAALbNrMH9H6vqRUnuVlVPSPJXST44v7IAAACAZPbg/sIk1yf5bJLnJjkvyUvmVRQAAAAwMeuq8j+oqg8k+UB3Xz/fkgAAAIBNtjjiXhMvq6qvJ/liki9W1fVV9YfLUx4AAADs2paaKv/8TFaTf1h379vd+yZ5RJJHV9Xz514dAAAA7OKWCu6/muTE7v7XTRu6+4okz0zyrHkWBgAAACwd3Hfv7q8v3Dh8z333+ZQEAAAAbLJUcL9lG9sAAACAHWCpVeWPqqpvLrK9kuw5h3oAAACAKVsM7t2923IVAgAAAPyopabKAwAAACtIcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGLG5BveqOq6qvlhV66vqhYu0H1JVH6mqS6rqo1V10FTbn1bVpVX1+ap6fVXVPGsFAACAMZpbcK+q3ZK8McnxSQ5LcmJVHbag26uTnNndRyY5NcmfDPv+VJJHJzkyyRFJHpbksfOqFQAAAMZqniPuD0+yvruv6O5bkrwnyQkL+hyW5O+H5/8w1d5J9kyyR5K7Jtk9ydfmWCsAAACM0jyD+4FJrpx6fdWwbdpnkvzS8PwpSe5RVft194WZBPlrh8eHu/vzc6wVAAAARmmlF6d7QZLHVtWnMpkKf3WS26rqgUkenOSgTML+46rqMQt3rqqTq+riqrp4w4YNy1k3AAAALIt5Bverkxw89fqgYdvtuvua7v6l7j46yYuHbTdmMvp+UXdv7O6NSc5P8qiFJ+jut3T3Md19zOrVq+f0NgAAAGDlzDO4fzLJoVX1gKraI8nTkpwz3aGq1lTVphr+IMnpw/OvZjISv6qqds9kNN5UeQAAAHY5cwvu3X1rklOSfDiT0P3e7r60qk6tqicP3Y5N8sWquizJ/kleMWw/O8mXknw2k+/Bf6a7PzivWgEAAGCsVs3z4N19XpLzFmz7w6nnZ2cS0hfud1uS586zNgAAANgZrPTidAAAAMAWCO4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCICe4AAAAwYoI7AAAAjJjgDgAAACMmuAMAAMCIzTW4V9VxVfXFqlpfVS9cpP2QqvpIVV1SVR+tqoOm2u5XVX9bVZ+vqnVVdf951goAAABjNLfgXlW7JXljkuOTHJbkxKo6bEG3Vyc5s7uPTHJqkj+Zajszyau6+8FJHp7kunnVCgAAAGM1zxH3hydZ391XdPctSd6T5IQFfQ5L8vfD83/Y1D4E/FXdfUGSdPfG7v72HGsFAACAUZpncD8wyZVTr68atk37TJJfGp4/Jck9qmq/JA9KcmNVva+qPlVVrxpG8AEAAGCXstKL070gyWOr6lNJHpvk6iS3JVmV5DFD+8OS/HiSkxbuXFUnV9XFVXXxhg0blq1oAAAAWC7zDO5XJzl46vVBw7bbdfc13f1L3X10khcP227MZHT+08M0+1uTfCDJQxeeoLvf0t3HdPcxq1evns+7AAAAgBU0z+D+ySSHVtUDqmqPJE9Lcs50h6paU1WbaviDJKdP7btPVd1reP24JOvmWCsAAACM0tyC+zBSfkqSDyf5fJL3dvelVXVqVT156HZski9W1WVJ9k/yimHf2zKZJv+Rqvpskkry1nnVCgAAAGO1ap4H7+7zkpy3YNsfTj0/O8nZm9n3giRHzrM+AAAAGLuVXpwOAAAA2ALBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxKq7V7qGHaKqrk/ylZWuYyusSfL1lS4CZuR+ZWfjnmVn4n5lZ+J+ZWezM92zh3T3vRZruNME951NVV3c3cesdB0wC/crOxv3LDsT9ys7E/crO5s7yz1rqjwAAACMmOAOAAAAIya4r5y3rHQBsBXcr+xs3LPsTNyv7Ezcr+xs7hT3rO+4AwAAwIgZcQcAAIARE9znqKqOq6ovVtX6qnrhIu13raqzhvZ/qqr7r0CZcLsZ7tnfrap1VXVJVX2kqg5ZiTohWfp+ner31KrqqtrpV5Rl5zbLPVtV/3H4d/bSqvrL5a4RNpnhd4L7VdU/VNWnht8LnrQSdUKSVNXpVXVdVX1uM+1VVa8f7udLquqhy13j9hLc56SqdkvyxiTHJzksyYlVddiCbs9JsqG7H5jktUleubxVwg/NeM9+Kskx3X1kkrOT/OnyVgkTM96vqap7JPmvSf5peSuEO5rlnq2qQ5P8QZJHd/fhSX5nueuEZOZ/Y1+S5L3dfXSSpyX5i+WtEu7gjCTHbaH9+CSHDo+Tk5y2DDXtUIL7/Dw8yfruvqK7b0nyniQnLOhzQpK3D8/PTvL4qqplrBGmLXnPdvc/dPe3h5cXJTlomWuETWb5NzZJ/jiTD0W/u5zFwSJmuWd/Pckbu3tDknT3dctcI2wyy/3aSfYent8zyTXLWB/cQXd/LMkNW+hyQpIze+KiJPtU1X2Xp7odQ3CfnwOTXDn1+qph26J9uvvWJDcl2W9ZqoMfNcs9O+05Sc6fa0WweUver8M0uIO7+0PLWRhsxiz/xj4oyYOq6hNVdVFVbWn0COZplvv1ZUmeWVVXJTkvyW8vT2mwTbb299zRWbXSBQA7n6p6ZpJjkjx2pWuBxVTVXZK8JslJK1wKbI1VmUzjPDaTGU0fq6q13X3jShYFm3FikjO6+8+q6lFJ3lFVR3T3D1a6MLgzMuI+P1cnOXjq9UHDtkX7VNWqTKYZfWNZqoMfNcs9m6r6D0lenOTJ3f29ZaoNFlrqfr1HkiOSfLSqvpzkkUnOsUAdK2iWf2OvSnJOd3+/u/81yWWZBHlYbrPcr89J8t4k6e4Lk+yZZM2yVAdbb6bfc8dMcJ+fTyY5tKoeUFV7ZLJoxzkL+pyT5NeG57+c5O+7u5exRpi25D1bVUcneXMmod13L1lJW7xfu/um7l7T3ffv7vtnsibDk7v74pUpF2b6veADmYy2p6rWZDJ1/oplrBE2meV+/WqSxydJVT04k+B+/bJWCbM7J8mzhtXlH5nkpu6+dqWL2hqmys9Jd99aVack+XCS3ZKc3t2XVtWpSS7u7nOSvC2TaUXrM1lM4WkrVzG7uhnv2Vcl2SvJXw3rKH61u5+8YkWzy5rxfoXRmPGe/XCSJ1bVuiS3Jfm97jYTj2U34/36/yZ5a1U9P5OF6k4yAMVKqap3Z/LB55ph3YWXJtk9Sbr7TZmsw/CkJOuTfDvJs1em0m1X/v8CAACA8TJVHgAAAEZMcAcAAIARE9wBAABgxAR3AAAAGDHBHQAAAEZMcAcAAIARE9wBAABgxAR3AGCzquphVXVJVe1ZVXevqkur6oiVrgsAdiXV3StdAwAwYlX18iR7Jrlbkqu6+09WuCQA2KUI7gDAFlXVHkk+meS7SX6qu29b4ZIAYJdiqjwAsJT9kuyV5B6ZjLwDAMvIiDsAsEVVdU6S9yR5QJL7dvcpK1wSAOxSVq10AQDAeFXVs5J8v7v/sqp2S/J/qupx3f33K10bAOwqjLgDAADAiPmOOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGKCOwAAAIyY4A4AAAAjJrgDAADAiAnuAAAAMGL/P0y3i3dXYykHAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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u1fCBiNgP3Aw8AFw13TaZeTvwa8AnM3NlZq7LzFEOPU8bgQ8Bv1Ec563ALwMvAdYD99Hqee66P6Y+p531H+k5lCRpXnCouSRpqdkMvCczLweIiI8BfxgRA5l5kFZP7rsz88pi/V8Ab4+IWmaOFsHx9mJfQxHxBWBt8f484I8y84r2+vZBM/PFR1jnSmD3pGW7gFVHuJ9xmfn6iPgV4BnAszrrm8Z5wA2Tlp0LvCszPw8QEVuBHy96tn8LuKA4V0TER4APHG5/05zTzvqP9BxKkjQv2OMtSVpqNgOf7Hi/AdhbhG6AcyatHwQeK3p5iYj/GBFfj4iHI+Ix4C1Au1f6XODvZ6nOvbR6gjs1gD3HstPMbBbD1k8GXjfDzc6n1dsOQEQErfP0mY4259C6Zvu5QB34Vrs3GvgcrR8NDre/qc6pJEkLnsFbkrRkFDOWnwI80rH4pcDVxfrTaIXbzvU/Q2s4NRHxHOD3gTfRmtF7EHgYuKHYto/WMO5ux746IvYe5nF1l01uBWoRcWbHsvOAbhOrHY0aM7vGu0IrVN/QsfiM4vn2jmUXFG2OAz6VmWs6Hqsz81nd9jfVOe1Sy5GeQ0mS5gWDtyRpKdkMNIFXREQtIl4EvB54R8f60WJ9pVj/y8DvFuvPozUx2HdoDYW+lFaP+dZi3Xczc6zbgTPzouKa5m6Pi7q03wdcDvxuRKyIiAuBi4G/6rb/4vMMAFWgGhEDxSRo7QnhXhYRKyOiGhE/Bbwc+FKx/qNx+NttLSsenX8znFt81uxYdkFxXq4Hnh3F/b0johERFxe95N32N9U5PaZzONU5kSRpLhm8JUlLyWbgE7Sucd4J/A7w05m5tWP9x4ALi/VvBy7OzNuK9Z+g1av9KHAlcBuwNTOH6X4d9LF6Pa2Q+jDwN8Dr2rcSK3p/39rR9m3AAVrDtF9VvH5bsS5pDSvfVnyuPwLe1HEt+inA17sVUPwA8GfA1ojYVizezKFDxQeB44HvZeY3aP1Q8Q8RsZdWgH5BO6R32d9U5/RYTXVOJEmaM3Hoj9WSJC1eEfFB4NbMfE+va5kvIqKfVog+NzNHel2PJEmLkT3ekqSlZDPw/V4XMZ9k5nBmPsXQLUlSeQzekqSl5BwOM/mZJElSWRxqLkmSJElSiezxliRJkiSpRAZvSZIkSZJKNK/uZbl27do88cQTe12GJEmSJElHZOvWrdszc323dfMqeJ944olcdtllvS5DkiRJkqQjsnnz5rsPt86h5pIkSZIklcjgLUmSJElSiQzekiRJkiSVqLTgHRGbIuKGjsfuiHhTWceTJEmSJGk+Km1ytcy8BTgfICKqwH3Ap8o6niRJkiRJ89FcDTV/LnBHZh52ljdJkiRJkhajuQreLwP+Zo6OJUmSJEnSvFF68I6IfuAlwN8fZv0lEXFtRFy7c+fOssuRJEmSJGlOzUWP90XA9Zn5ULeVmfnhzNySmVvWrl07B+VIkiRJkjR35iJ4v5xFNMx8aHSMf7x9D3ftHO51KZIkSZKkBaDU4B0RK4DnAZeXeZy51Ex43zWPcv0DB3pdiiRJkiRpASjtdmIAmbkPWFfmMebaslpQq8DuobFelyJJkiRJWgDmalbzRSMiaNSr7D5o8JYkSZIkTc/gfRQa9Qq7h5q9LkOSJEmStAAYvI9CK3jb4y1JkiRJmp7B+yg06lV7vCVJkiRJM2LwPgqNAXu8JUmSJEkzY/A+Co16lb3DYzTHstelSJIkSZLmOYP3UWjUK4wl7Bux11uSJEmSNDWD91FYVW+dNm8pJkmSJEmajsH7KDTqVQAnWJMkSZIkTcvgfRRWFz3ee5xgTZIkSZI0DYP3UWj3eO8yeEuSJEmSpmHwPgqNgeIab4eaS5IkSZKmYfA+CvVq0F8N7+UtSZIkSZqWwfsoRASr6hV7vCVJkiRJ0zJ4H6VGveLtxCRJkiRJ0zJ4H6VGvcqeYYO3JEmSJGlqBu+j1Orxdqi5JEmSJGlqBu+j1KhXnVxNkiRJkjQtg/dRatQr7B0eozmWvS5FkiRJkjSPGbyPUqNeIYG9XuctSZIkSZqCwfsoNepVAIebS5IkSZKmZPA+So2B1qnzXt6SJEmSpKkYvI+SPd6SJEmSpJkweB+lRr3o8faWYpIkSZKkKRi8j9KqdvC2x1uSJEmSNAWD91EaqFWoV8PgLUmSJEmaksH7GDTqFSdXkyRJkiRNqdTgHRFrIuKTEXFzRHw/Ip5R5vHmWqNetcdbkiRJkjSlWsn7fy/wucx8aUT0A8tLPt6cagzY4y1JkiRJmlppPd4RsRr4CeAjAJk5nJmPlXW8XmgNNbfHW5IkSZJ0eGUONT8DeAT43xHxbxHxFxGxosTjzblVDjWXJEmSJE2jzOBdA54GfDAzLwD2AW+Z3CgiLomIayPi2p07d5ZYzuxr1CvsGx6jOZa9LkWSJEmSNE+VGby3Adsy85vF+0/SCuKHyMwPZ+aWzNyydu3aEsuZfY16FYA9w/Z6S5IkSZK6Ky14Z+aDwL0RsalY9Fxga1nH64VGvXX6dh90gjVJkiRJUndlz2r+K8AnihnN7wR+oeTjzanx4O113pIkSZKkwyg1eGfmDcCWMo/RS42B1lBzg7ckSZIk6XDKvMZ70Wv0t3u8HWouSZIkSerO4H0MVjnUXJIkSZI0DYP3MajXKgzUwh5vSZIkSdJhGbyPUaNescdbkiRJknRYBu9j1KhX2X3Q4C1JkiRJ6s7gfYxW1SsONZckSZIkHZbB+xg51FySJEmSNBWD9zFq1Kv2eEuSJEmSDsvgfYwa9Qr7R5LRsex1KZIkSZKkecjgfYxWD1QB2ONwc0mSJElSFwbvY9Sot07hLoebS5IkSZK6MHgfo1VF8PaWYpIkSZKkbgzex6hRbw01d4I1SZIkSVI3Bu9j1B5q7i3FJEmSJEndGLyPUbvH28nVJEmSJEndGLyPUV81WNYXDjWXJEmSJHVl8J4FjXrVoeaSJEmSpK4M3rOg0V+xx1uSJEmS1JXBexY0BireTkySJEmS1JXBexY06lV2Dxu8JUmSJEmPZ/CeBY26Q80lSZIkSd0ZvGdBo17lwEgy0sxelyJJkiRJmmcM3rNgVb11Gu31liRJkiRNZvCeBY3x4O113pIkSZKkQxm8Z0GjXgXs8ZYkSZIkPZ7BexY0BlqncY893pIkSZKkSQzes2D1eI+3wVuSJEmSdCiD9yxoT66266BDzSVJkiRJh6qVufOIuAvYAzSB0czcUubxeqVWCZb3hT3ekiRJkqTHKTV4F56dmdvn4Dg91ahXnVxNkiRJkvQ4DjWfJY16xR5vSZIkSdLjlB28E/jHiLguIi4p+Vg91ahXndVckiRJkvQ4ZQ81f2Zm3hcRG4AvRMTNmfnVzgZFIL8E4IQTTii5nPI0Bircs2u412VIkiRJkuaZUnu8M/O+4vlh4FPAj3Rp8+HM3JKZW9auXVtmOaVyqLkkSZIkqZvSgndErIiIVe3XwPOB75V1vF5r1KscHE2GRg3fkiRJkqQJZQ413wh8KiLax/nrzPxcicfrqUZxL+89Q2PUa85ZJ0mSJElqKS14Z+adwHll7X++adSrAOweHmNwRY+LkSRJkiTNG3bNzpJ2j/fug97LW5IkSZI0weA9S8aDtxOsSZIkSZI6GLxnyar2UHODtyRJkiSpg8F7lqwa7/F2qLkkSZIkaYLBe5bUKsGKfu/lLUmSJEk6lMF7FjXqFfbY4y1JkiRJ6mDwnkWNuj3ekiRJkqRDGbxnUaNeZfdBg7ckSZIkaYLBexa1erwdai5JkiRJmmDwnkWNetWh5pIkSZKkQxi8Z1GjXmGomRwcNXxLkiRJkloM3rOoUdzLe4+93pIkSZKkgsF7FjUGqgAON5ckSZIkjTN4z6J2j7cTrEmSJEmS2gzes6hRL3q8vaWYJEmSJKlg8J5F9nhLkiRJkiYzeM+ilf0VAq/xliRJkiRNMHjPomolWNlfMXhLkiRJksYZvGdZo15xqLkkSZIkaZzBe5Y1Bqr2eEuSJEmSxhm8Z9mqfnu8JUmSJEkTDN6zrDHgNd6SJEmSpAkG71nWqFfZMzRGZva6FEmSJEnSPGDwnmWNeoXhZjLUNHhLkiRJkgzes65RrwKw+6DDzSVJkiRJBu9Z16i3TqkTrEmSJEmSwOA969rBe5cTrEmSJEmSMHjPuvGh5vZ4S5IkSZKYg+AdEdWI+LeIuLLsY80HjYHWKd1jj7ckSZIkibnp8X4j8P05OM68sKKvQiXwXt6SJEmSJKDk4B0RJwMvAv6izOPMJ9VKsLK/4lBzSZIkSRJQfo/3/wL+G7Ckun8b9Yq3E5MkSZIkATMM3hFxeUS8KCJmHNQj4sXAw5l53TTtLomIayPi2p07d8509/Nao161x1uSJEmSBMy8x/sDwCuA2yLif0bEphlscyHwkoi4C/hb4DkR8fHJjTLzw5m5JTO3rF27dqZ1z2uNesVrvCVJkiRJwAyDd2Z+MTNfCTwNuAv4YkT8a0T8QkT0HWab38zMkzPzdOBlwJcz81WzVPe81urxNnhLkiRJko7gGu+IWAe8BvhF4N+A99IK4l8opbIFrDHQmlwtM3tdiiRJkiSpx2ozaRQRnwI2AX8F/PvMfKBYdVlEXDvd9pn5T8A/HWWNC06jXmF0DA6MJsv7otflSJIkSZJ6aEbBG/jzzLyqc0FE1DNzKDO3lFDXgraqXgVg91CT5X1zcat0SZIkSdJ8NdNU+M4uy74xm4UsJo1667R6SzFJkiRJ0pQ93hFxPHASsCwiLgDa46YbwPKSa1uwGuM93gZvSZIkSVrqphtq/lO0JlQ7GXh3x/I9wFtLqmnBW7+8Fbwf2DsCLOttMZIkSZKknpoyeGfmXwJ/GRE/m5n/MEc1LXjrllc5blmVW7cPt6akkyRJkiQtWdMNNX9VZn4cOD0ifnXy+sx8d5fNlryI4KzBfm7ePtTrUiRJkiRJPTbd5GoriueVwKouDx3GpnV1Htgzyu6hZq9LkSRJkiT10HRDzT9UPP/O3JSzeGwarANw6/Zhtpzkdd6SJEmStFTN6HZiEfEHEdGIiL6I+FJEPBIRryq7uIXszHX9VAJucbi5JEmSJC1pM72P9/MzczfwYuAu4EnAr5dV1GKwrK/Cqav7uHWHwVuSJEmSlrKZBu/2kPQXAX+fmbtKqmdROWuwzi3bh8nMXpciSZIkSeqRmQbvKyPiZuCHgC9FxHrgYHllLQ6b1vWzd3iM+/eM9roUSZIkSVKPzCh4Z+ZbgB8DtmTmCLAPuLjMwhaDTetbE6x5nbckSZIkLV1Tzmo+yZNp3c+7c5uPzXI9i8opjT6W1YJbtg/znCf0uhpJkiRJUi/MKHhHxF8BTwRuANo3pk4M3lOqVoIz1/Vzqz3ekiRJkrRkzbTHewtwdjpL2BE7a7DOp7buZmh0jHptppfUS5IkSZIWi5kmwe8Bx5dZyGL15ME6zYQ7dw73uhRJkiRJUg/MtMd7ENgaEd8CxsdNZ+ZLSqlqEdk02J5gbZinrB/ocTWSJEmSpLk20+D9jjKLWMzWLquyfkXVmc0lSZIkaYmaUfDOzH+OiNOAMzPzixGxHKiWW9risWld3QnWJEmSJGmJmtE13hHxS8AngQ8Vi04CPl1STYvOWYN1HtrXZOeB5vSNJUmSJEmLykwnV/svwIXAboDMvA3YUFZRi82TB/sB7PWWJEmSpCVopsF7KDPHp+WOiBqt+3hrBp54XD/VgFt2GLwlSZIkaamZafD+54h4K7AsIp4H/D3wmfLKWlzqtQqnr+3nlu3eUkySJEmSlpqZBu+3AI8A3wX+M3AV8LayilqMNg32c+uOIZpjDhSQJEmSpKVkprOaj0XEp4FPZ+Yj5Za0OG1aV+eqW/eybfcIp63p73U5kiRJkqQ5MmWPd7S8IyK2A7cAt0TEIxHx23NT3uKxabAO4HBzSZIkSVpiphtq/mZas5n/cGYel5nHAT8KXBgRby69ukXkxEaNFf0VZzaXJEmSpCVmuuD9c8DLM/MH7QWZeSfwKuDVU20YEQMR8a2I+E5E3BQRv3Ps5S5clQjOWtfvzOaSJEmStMRMF7z7MnP75IXFdd5902w7BDwnM88DzgdeEBFPP6oqF4lNg3XufmyEg6NjvS5FkiRJkjRHpgveU12QPOXFytmyt3jbVzyW9JTem9b1M5Zw2w6v85YkSZKkpWK64H1eROzu8tgDbJ5u5xFRjYgbgIeBL2TmN2eh5gXrrPEJ1hxuLkmSJElLxZS3E8vM6rHsPDObwPkRsQb4VESck5nf62wTEZcAlwCccMIJx3K4eW/1QJUTVta41ZnNJUmSJGnJmK7He1Zk5mPAV4AXdFn34czckplb1q5dOxfl9NRZg06wJkmSJElLSWnBOyLWFz3dRMQy4HnAzWUdb6HYNFhnx/4m2/eP9roUSZIkSdIcKLPH+wTgKxFxI/BtWtd4X1ni8RaETcV13g43lyRJkqSlYcprvI9FZt4IXFDW/heqJ6ztp1aBm7cP8WOnLu91OZIkSZKkks3JNd6a0FcNnnhcP7c6s7kkSZIkLQkG7x44a12d23YM0xxb0rc1lyRJkqQlweDdA5sG6ww1k7t3jfS6FEmSJElSyQzePbBpsB/A4eaSJEmStAQYvHvg+JU1GvUKNxu8JUmSJGnRM3j3QESwabDuLcUkSZIkaQkwePfIWev6uXfXCPuHx3pdiiRJkiSpRAbvHjl7Q50Ern/gQK9LkSRJkiSVyODdI+dsGGDDiipX3ba316VIkiRJkkpk8O6RaiV4wZmruPHBg9zrbcUkSZIkadEyePfQ85+0kloFrr5tT69LkSRJkiSVxODdQ2sGqlx46nK+dMdeDo46yZokSZIkLUYG7x574Vmr2DeSfPWufb0uRZIkSZJUAoN3j529vs5pa/r47K17ycxelyNJkiRJmmUG7x6LCF501irueHSYW3cM97ocSZIkSdIsM3jPA886YwXLasFVtzrJmiRJkiQtNgbveWB5X4VnP2EF/3L3fnYPNXtdjiRJkiRpFhm854kXnrmK4WbyxTucZE2SJEmSFhOD9zxx+tp+zl5f5+pb9zDmJGuSJEmStGgYvOeRF561igf2jnLDAwd7XYokSZIkaZYYvOeRC09dzup6xUnWJEmSJGkRMXjPI33V4HlPWsm37jvAI/tGe12OJEmSJGkWGLznmYvOXEUmfO62vb0uRZIkSZI0Cwze88zGlTW2nLSMf7x9LyNNJ1mTJEmSpIXO4D0PvfCsVew82OSabft7XYokSZIk6RgZvOehp50wwMYVVSdZkyRJkqRFwOA9D1UrwUVnreK7Dw1xz2PDvS5HkiRJknQMDN7z1POeuJJaBa52kjVJkiRJWtBKC94RcUpEfCUitkbETRHxxrKOtRitHqjyzFNX8KU797J3eKzX5UiSJEmSjlKZPd6jwH/NzLOBpwP/JSLOLvF4i85/OLvBwdHkL657tNelSJIkSZKOUmnBOzMfyMzri9d7gO8DJ5V1vMXoCcf187NnN/jiHfu49r4DvS5HkiRJknQU5uQa74g4HbgA+OZcHG8xecW5azh1dR/v/+YO9jnkXJIkSZIWnNKDd0SsBP4BeFNm7u6y/pKIuDYirt25c2fZ5Sw4fdXgTc9Yx84DTT5ynedHkiRJkhaaUoN3RPTRCt2fyMzLu7XJzA9n5pbM3LJ27doyy1mwzhqs8x/ObvCPd+zluvsdci5JkiRJC0mZs5oH8BHg+5n57rKOs1S84tw1nLK6j/df45BzSZIkSVpIyuzxvhD4OeA5EXFD8Xhhicdb1PqLIeePHmjykesdci5JkiRJC0WtrB1n5teAKGv/S9GmwTo/85QG/7B1N888dTlPO3FZr0uSJEmSJE1jTmY11+x55XlrOLlR4/3X7GC/Q84lSZIkad4zeC8wrSHng+w40ORSh5xLkiRJ0rxn8F6Anry+zk8/pcHnbt/LDQ84y7kkSZIkzWcG7wXqleeu5uRGjfdes4P9Iw45lyRJkqT5yuC9QNVrFd74jEG273PIuSRJkiTNZwbvBewp61uznH/utr1cvnV3r8uRJEmSJHVR2u3ENDd+/oI1PLxvlEuv30lfFf79pkavS5IkSZIkdbDHe4GrVoJfe+YgTz95GR/69k4+d9ueXpckSZIkSepg8F4EapXgN358PT904gB/+s1H+dIde3tdkiRJkiSpYPBeJPqqwVt/Yj3nHT/Ae6/ZwT/fta/XJUmSJEmSMHgvKvVahbc9az1nr6/zx1/fzr/es7/XJUmSJEnSkmfwXmQGahV++9kbOGtdnT/42iN8a5vhW5IkSZJ6yeC9CC3vq/A7z9nAGWv6+R9ffYTr7z/Q65IkSZIkackyeC9SK/or/O5zN3DK6j7e+c+PcOODB3tdkiRJkiQtSQbvRWxVvco7n7uR41fW+O0vP8Rnb9lDZva6LEmSJElaUgzei9zqgSr/8/kbOf/4ZXzw24/yB1/bzv7hsV6XJUmSJElLhsF7CWjUq/z2s9fzmgvW8PV79vPGqx/gjkeHe12WJEmSJC0JBu8lohLBS5+6mt973kaGm8mvfe4BrrrVoeeSJEmSVDaD9xLz1A0DvO+FJ3Du8QN84FuP8odf287+EYeeS5IkSVJZDN5L0OqBKm9/9gZeff4avnbPft501QPcudOh55IkSZJUBoP3ElWJ4D+ds5r/8e82cnA0+a9XP8Bnbt5Nc8yh55IkSZI0mwzeS9w5Gwd434taQ88/dO1O3njVA3znwQO9LkuSJEmSFg2Dt1gzUOUdz97AW358kAMjY/zWFx/mnf/8MPfvGel1aZIkSZK04Bm8BUBE8MzTVvDBl5zEq89fww0PHOT1n7mfS6/f6X2/JUmSJOkYGLx1iP5q69rvD73kRH7y9BVcvnU3l1xxH5+/bY/Xf0uSJEnSUTB4q6t1y2u8+ccGefcLjueEVX28/5uP8qtXP8j19x/w3t+SJEmSdAQM3prSWYN1/uD5G/n1CwfZPdTkt7/8MP/fVQ/wlTv3MmoPuCRJkiRNq7TgHRGXRsTDEfG9so6huRER/OQZK/jwxSfxxmesozkGf/yvO/jFT9/H5Vt3ew24JEmSJE2hzB7vjwIvKHH/mmN91eB5T1zJn7z4BN7+7A2cuKrGpdfv5DWf2sal1+1k+77RXpcoSZIkSfNOrawdZ+ZXI+L0svav3qlE8MMnLeOHT1rG7TuGuHzrbj59827+z827+YnTV/DiTas4a10/EdHrUiVJkiSp50oL3loanrSuzn/78fX8/N5Rrrh5N5+/fS9f+cE+Tm7UeM4TVvKsM1awYYVfM0mSJElLV88TUURcAlwCcMIJJ/S4Gh2tjStr/NKW43jluWv42j37+fKde/nYDY/xVzc8xuaNdZ77hJU849TlLO9zPj9JkiRJS0uUeWuoYqj5lZl5zkzaP/WpT83LLrustHo0tx7cO8JX7tzHl3+wjwf2jFKvBj926nKe84QVnLtxgGrFoeiSJEmSFofNmzdfl5lbuq3reY+3Fq/jV/bx8nPX8LLNq7l5+xBfunMf/3L3fr7yg3006hW2nLSMHz15GRecsMyecEmSJEmLVmnBOyL+BngWMBgR24C3Z+ZHyjqe5q+I4CnrB3jK+gEu2XIc375vP9fce4BvbzvAl+/cR60C5x0/wI+evJwfOXkZg8v9PUiSJEnS4lHmrOYvL2vfWrj6q8GFp67gwlNX0BxLvv/IENds28837z3AB771KB/4FjzpuP7xnvAz1/U7JF2SJEnSgmbXonqmWgnO2TjAORsHeO3Tkm27R/nmtv18c9sB/vrGXXzixl0sqwVP3TDAuccPcN7xA5yxto+KtymTJEmStIAYvDUvRASnrO7jlNWreelTV7PrYJPvPXyQGx88yHcePMi11x8AYFV/hXM21jn3+AHO3TjAKasN4pIkSZLmN4O35qXVA9XxIekAO/aPcuNDE0H8G/e2gviK/gqb1vWzabDOk9fX2bSun5X1ai9LlyRJkqRDGLy1IKxbXuPZZ6zk2WesBFq3KvvuQ0Pc/MgQt2wf4m+/u4v2jfFObtR4chHEzxqsc+rqPmpeJy5JkiSpRwzeWpCOX9nH8Sv7eN4TW0F8//AYt+4Y4pbtw9y8fYhv3XeAL965D4C+Cpy2pp8nrO3nCcf188Tj+jh9TT/LvIWZJEmSpDlg8NaisLy/wvknLOP8E5YBkJk8sHeUW7cPc+ejw9yxc5hv3Luff7xjLwABnNSoccbaViA/dU0fp63uY8PKmteMS5IkSZpVBm8tShHBiav6OHFVH886o3WdeGayfX+TOx8d5s6drTB+y/Yh/uXu/ePb1avByav7OLX9WNN63mgglyRJknSUDN5aMiKC9StqrF9R40dPWT6+fN/wGPfsGuHeXcPc/dgI9+4a4bsPHeQrP9g33qa/Ghy/ssZJjRonrurreO5jzUCFMJRLkiRJOgyDt5a8Ff0VnrK+zlPW1w9Zvm94jHt3jXDPrmHu3TXK/XtG2LZ7lG/fd4DRsYl2y/raves1Nq6scfzKief1K2pO7CZJkiQtcQZv6TBW9Fd48vrW7OidmmPJI/tHuW/3KPfvHuH+PaNs2z3C7Y8O86/37KeZE20rAYPLq2wswvjGosd9/Yoq61fUGFxeo79qMJckSZIWM4O3dISqlRifVf2HTlx2yLrmWLLjQJOH9o7y4N5RHioeD+4d5br7DrLzYPNx+1szUGmF8eWtQL5ueY11y6usW15lcFmV4wznkiRJ0oJm8JZmUbUSbFhRY8OKGps3Pn79SDPZvn+UR/Y1eWTfKA/vG+WR/U227xvl3t0jXHf/AYY6u8wLjXqF45ZVi0BeY92yKmuXVVkz0Ho+rnhvQJckSZLmH4O3NIf6qsEJq/o4YVVf1/WZyb6RZMf+UXbsb7LjQHPidfH+jkf3s+vgGI+P57CiL1jbEcrXDFRZPVApntvLKqweqLKsFk4KJ0mSJM0Bg7c0j0QEK/uDlf39nLbm8O2aY8mug012Hhzj0QNNdrYfByde3/HoMLsONtk30i2it2Zqb9QrrK5XaQxUaNQrNOrV1rKB6vj7VfVK69FfoV6rlPPBJUmSpEXM4C0tQNVKcNzyGscthydO03ak2Qrpjx1s8tjBsfHXuw6OsXuoya6h1vODe0bZPXT4oA6t+5yvqldY2d8K6qvqVVb1V1hZLHvco15hZX+V5X3hfdAlSZK0ZBm8pUWurxoMrqgxuGJm/7mPNJM9Q012D40VjyZ7h1uv9wyNsWe42Xoeat3/fE+xvvMWa5MFsLy/wsq+YEV/heV9rWC+ov3oq4wvX97RZnlfhRV9wfL+CvWqQ+MlSZK0MBm8JR2irzrRmz5TmclQM9k7NMbe4e6PfcNj7BspnofHeHDv6Pj7/VP0srdVA5YVwXxZ30RIX1ZrvV7WF+PPy2oVBvqC5bUKy4plA7WiTa1CvRZUvb+6JEmS5ojBW9IxiwgGaq1wO7jiyLdvjiUHRpP9w2PsH2kF9P3DY+wbSfaPFMuKgH5gdKxYluweGuOhvaOt5SNjHBidPsC31atFzX0VltUmgnn7c9RrRYCvBfViWWtdUK+1tmkvr1dbr+u1sGdekiRJj2PwltRz1Up7Urljm7ytOZYMjbbC+YGRLs8jYxwYHePgaHKwWH6waH+wCPmPHkgOjhRtRrPr7d2m0w719SKk16tB/6RwXu8I7P3t9ePvKxPtqxPr+zvath9eOy9JkjT/GbwlLRrVSrC8v3VN+GwZy2S4mUUQbwXyoeL1UEc4b79vPw42W22Hi/VDzVaw33mg9Xq42W47xsgU18dPp1ahCOcV+qutSwX6u76P8dd9lccvay/vK5a12/RVedzyQ5+xh1+SJGkaBm9JmkJlfBg9QLWUY7TD/dDopOdmK5gPF0F98mNoNBkZm2g/3ExG2s9jrecDB8cYHmv9ANBeNjLWajfVhHhHolaZCOe1jkBe6wjptWLZ+PtKO7xPtKtVYnxftUPaQW18/cS+2+3HX1ehFtHRtrWuGv44IEmSesvgLUk9dmi4nzvNsYkQPhHYOSS8t9eNh/aONuPrx4N8MtLk0Pft183kwHDr/ejYxH7abUaL92UZD+FFcK+2w3oUoT6C6niIn1hfrRRhvlheaa+PjvVFuG/vvzPwVw9pM7HvifatfVU7Xrf3X5m8n45nf0iQJGlhMXhL0hJVLYLiXAf+w8lMmklHiE9GsxXOR4se+nZwbz0m2jY7Q/zYxI8K7XbtbZrFPpqTlre3GU0YbSZDzbGJZZ3rx6CZecjr2Ro5cCQqwXh4r7RDebTD+8T/tu3llcrj11cO2ab1XInWNpWOoF+ZtO9KFMsmrRvfdtK69rEr3dYFk7Y9dN+VOHS/lfHlHfvreO0PEpK0+DTHclHcjWae/LklSVrqIooe6AX2f66ZyVjxA0FzDEZz4oeAZufr8WWtPyLaoX2sCPzNju3HJr1vjrUuSWjvp73fZse6ZscPAWMdz+3l4/tMGB7J8R8QxpKOmia2Ody2Y0c+3+CcCega3LuG+Pbyom3QEeIrj99uutdBFNtBhWKfXdrH+OuJdUGr5nb9Ee2RDYe2mbzu8es7jkvrs01s13F8Wvvp3G973eT1E/vrvr7zffuztWuh49iBP4xIS037UrrJl9MNNYt5cZrJgZFkz1CT3UNj7B4aY89Qkz3DY8X7JnuGxjhldR/vueiEXn+cY2bwliTpGLSD0GL4NX4m2j80tAJ7MtbxY8FYRzhvr2sWIxnGOkJ+Z7gfX9YR/Me3L/bVud+x8eUddYxNqmnS+rGilvbrZpf12VHb2KRjjY5l1+Vjeej56NxPdrZjYt3k7ZeSVvieIpxHFCG+s20c+p6JkN/5Y0RM3o7Wm0px4PaPI51txp+7HLezbSWKfRT7HF/W8RwdP0wcsv+O/UzUUWwxqS3FOWm3ba8bP0eTtmPStp11d57vQ1/H4445fqzx1/G4bem6r0mfo/N/6M7tDjlOPG5Zt1onm1h3+H9nJ/+uMxv/Ik/+TzSn+G82i9bd2mSxPDt2mu1tsv2aQ15n8W9Ge3ft15kwRh7yvvV6Ylnnv0djObG/iX+ruv9bN/nf1WYe+gNve/RX54/NI50jzJoTI8naI9BmKoAV/RVW1Ss06hWOW1bltDV9rOqvcFKjb+Y7mscM3pIkacbGf2gA+mblT9ul7XHBHVo/EvD4sD7+ms7lHfvg0MDf/mO884eAQ/8wn/jjvnPbyX+4T6w/9AeD8WOPb1vsb3zdRBiY/Md/+3O2w8fkNp01UnxmJtfZ8VnaoWU8kHSGEvLQmun43Ak51q4px9tMHCsnwk5nYMpJwYdDa++sleJ/S5hcV8f+i226reu2nXQkuv3oVakUI2Oi4xKeysQImFp0XBo0aZ6RvuKWp52Tp05MetoxcWrl0Fuj1muV8duo1mvBQDUYqLXC9sr+yqL/AdvgLUmS1COdP2TMTh+dlorOHwWALq8fH9wP6V0tVmTXbSeOMb6sY3uYvL+OjZnUpmN/na87f0DoPM7kdYfbJ13aHOZtV5k5o8sfHteiyybdevcnN+283OJxowgmjTroHF3ROQKi2wgQihEbnaMxOi9r6TyuesvgLUmSJC0w7SH2h/+9xrAlzSeVMnceES+IiFsi4vaIeEuZx5IkSZIkaT4qLXhHRBX4U+Ai4Gzg5RFxdlnHkyRJkiRpPiqzx/tHgNsz887MHAb+Fri4xONJkiRJkjTvlBm8TwLu7Xi/rVgmSZIkSdKSUeo13jMREZdExLURce3OnTt7XY4kSZIkSbOqzOB9H3BKx/uTi2WHyMwPZ+aWzNyydu3aEsuRJEmSJGnulRm8vw2cGRFnREQ/8DLgihKPJ0mSJEnSvFPafbwzczQi3gB8HqgCl2bmTWUdT5IkSZKk+ai04A2QmVcBV5V5DEmSJEmS5rOeT64mSZIkSdJiFpnZ6xrGRcQjwN29rgMYBLb3ugjpKPn91ULm91cLmd9fLWR+f7WQzZfv72mZub7binkVvOeLiLg2M7f0ug7paPj91ULm91cLmd9fLWR+f7WQLYTvr0PNJUmSJEkqkcFbkiRJkqQSGby7+3CvC5COgd9fLWR+f7WQ+f3VQub3VwvZvP/+eo23JEmSJEklssdbkiRJkqQSLengHREviIhbIuL2iHhLl/X1iLisWP/NiDi9B2VKXc3g+/urEbE1Im6MiC9FxGm9qFPqZrrvb0e7n42IjIh5PVOplpaZfH8j4j8V/wbfFBF/Pdc1Soczg78fTo2Ir0TEvxV/Q7ywF3VKk0XEpRHxcER87zDrIyLeV3y3b4yIp811jVNZssE7IqrAnwIXAWcDL4+Isyc1ey2wMzOfBLwH+P25rVLqbobf338DtmTmucAngT+Y2yql7mb4/SUiVgFvBL45txVKhzeT729EnAn8JnBhZj4VeNNc1yl1M8N/f98G/F1mXgC8DPjA3FYpHdZHgRdMsf4i4MzicQnwwTmoacaWbPAGfgS4PTPvzMxh4G+Biye1uRj4y+L1J4HnRkTMYY3S4Uz7/c3Mr2Tm/uLtNcDJc1yjdDgz+fcX4P+n9YPnwbksTprGTL6/vwT8aWbuBMjMh+e4RulwZvL9TaBRvF4N3D+H9UmHlZlfBR6dosnFwMey5RpgTUScMDfVTW8pB++TgHs73m8rlnVtk5mjwC5g3ZxUJ01tJt/fTq8Fri61Imnmpv3+FsPDTsnMz85lYdIMzOTf37OAsyLi6xFxTURM1UMjzaWZfH/fAbwqIrYBVwG/MjelScfsSP8+nlO1XhcgqVwR8SpgC/CTva5FmomIqADvBl7T41Kko1WjNdTxWbRGG301IjZn5mO9LEqaoZcDH83MP46IZwB/FRHnZOZYrwuTFrKl3ON9H3BKx/uTi2Vd20REjdZwmx1zUp00tZl8f4mIfwf8FvCSzByao9qk6Uz3/V0FnAP8U0TcBTwduMIJ1jRPzOTf323AFZk5kpk/AG6lFcSlXpvJ9/e1wN8BZOY3gAFgcE6qk47NjP4+7pWlHLy/DZwZEWdERD+tySOumNTmCuDni9cvBb6c3vhc88O039+IuAD4EK3Q7fWFmk+m/P5m5q7MHMzM0zPzdFpzFLwkM6/tTbnSIWby98OnafV2ExGDtIae3zmHNUqHM5Pv7z3AcwEi4im0gvcjc1qldHSuAF5dzG7+dGBXZj7Q66LaluxQ88wcjYg3AJ8HqsClmXlTRPwucG1mXgF8hNbwmttpXcj/st5VLE2Y4ff3D4GVwN8XcwLek5kv6VnRUmGG319pXprh9/fzwPMjYivQBH49Mx0xp56b4ff3vwJ/HhFvpjXR2mvseNJ8EBF/Q+tHzcFiDoK3A30AmflntOYkeCFwO7Af+IXeVNpd+N+RJEmSJEnlWcpDzSVJkiRJKp3BW5IkSZKkEhm8JUmSJEkqkcFbkiRJkqQSGbwlSZIkSSqRwVuSJEmSpBIZvCVJkiRJKpHBW5KkRSwifjgiboyIgYhYERE3RcQ5va5LkqSlJDKz1zVIkqQSRcQ7gQFgGbAtM3+vxyVJkrSkGLwlSVrkIqIf+DZwEPixzGz2uCRJkpYUh5pLkrT4rQNWAqto9XxLkqQ5ZI+3JEmLXERcAfwtcAZwQma+occlSZK0pNR6XYAkSSpPRLwaGMnMv46IKvCvEfGczPxyr2uTJGmpsMdbkiRJkqQSeY23JEmSJEklMnhLkiRJklQig7ckSZIkSSUyeEuSJEmSVCKDtyRJkiRJJTJ4S5IkSZJUIoO3JEmSJEklMnhLkiRJklSi/wsCfpSwxeXm+QAAAABJRU5ErkJggg==\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "p_bar = 0.5\n", + "theta = 2\n", + "plot_beta(p_bar, theta)\n", + "\n", + "# -----\n", + "p_bar = 0.5\n", + "theta = 1\n", + "plot_beta(p_bar, theta)\n", + "\n", + "# -----\n", + "p_bar = 0.5\n", + "theta = 3\n", + "plot_beta(p_bar, theta)\n", + "\n", + "# -----\n", + "p_bar = 0.93 # 0 < p < 1\n", + "theta = 3\n", + "plot_beta(p_bar, theta)\n", + "\n", + "# -----\n", + "p_bar = 0.13 # 0 < p < 1\n", + "theta = 1\n", + "plot_beta(p_bar, theta)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3dd789a2", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "p_bar = np.arange(0.3, 0.8, 0.1) # array([0.3, ..., 0.7])\n", + "theta = [1, 2, 3]\n", + "\n", + "x = np.linspace(0, 1, num=100)\n", + "\n", + "\n", + "\n", + "for t in theta:\n", + " plt.figure(figsize=(17, 5))\n", + " for p in p_bar:\n", + " alpha = p * t\n", + " beta = (1 - p) * t\n", + "\n", + " plt.plot(x, stats.beta.pdf(x, alpha, beta), c='blue')\n", + "\n", + " plt.title(f'Beta Distribution \\n\\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \\n\\n $pbar={p_bar}$, $theta={round(t, 3)}$')\n", + " plt.ylabel('Density')\n", + " plt.xlabel('x')\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c51bad10", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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VXUOmhbmlPsCKd3tBSunplNKKlFJdSuk24K/AYVtRwy5kWu2JiCCzr37bYvmOvHNN+UFAKfDMmtZt4HdkTiqss601NrFvt1pKqSl7acBw4Jy22q4kSa1hQJckqYXsCO0jgIUtnj4OeCS7fCSZ0Nty+dFkunATER8Evg+cT2b08v7AAuCF7GuLyXSh3tB7P9JiNPX1b4+0ovypQFFEjG/x3M7AS6147RoJiM1Yf62IKCATwF/IPjU6+3N6i9V2bbG8L/DrlFJli1tFSumADWxro/t2A7Vs7b4swmvQJUkdzIAuSdK6JgJNwEnZQck+CnwauLjF8sbs8oLs8k8Bl2SX70xmcLMXyXS9voVMC/zL2WX/Tik1b+iNU0qHthhNff3boRt6zXqvXwncD1wSEb0iYl/gSOAXG1o/Iioj4pCIKMt+1pOBD5Bpxd6giLg1Im59l8U9src13y92yn7e1GKdXXmnVfyfwIGRnSM9IvpExJHZlvf1twUb37fr74tW78vswHOTI6J3RBRGxCHAicBj77YfJElqDwZ0SZLWNRG4g8x1yNXAt4CjUkotpw37ObBvdvk3gSNTStOyy+8g00q+BHgQmAa8nFKqZwPXVLeDT5MJtguAO4FzUkprW9CzLcsXZR8WA98h0xtgEfBZMp91Y13GR5DpBv9fsicIrgdejoi5ZPbV2i7qkZk2bTDwn+z6T5E5sXFfRNSQCdofSRnrbws2vm+3RiLTnX0umX/THwLntxgnQJKkDhHrntSWJKl7i4jrgKkppStyXUtrREQtmcHMfpJS+nobb/v3ZEacfyaldFBElJAJ3DullBra8r0kSZKjuEuStL6JZKZA6xRSSmXtuO0Pr/e4Htiuvd5PkqTuzi7ukiSta0feZRA3SZKk9mQXd0mSJEmS8oAt6JIkSZIk5QEDuiRJkiRJeaDTDRJXVVWVhg4dmusyJEmSJEnabC+//PKilNKADS3rdAF96NCh3H333bkuQ5IkSZKkzTZx4sRZ77bMLu6SJEmSJOUBA7okSZIkSXnAgC5JkiRJUh4woEuSJEmSlAcM6JIkSZIk5QEDuiRJkiRJecCALkmSJElSHjCgS5IkSZKUBwzokiRJkiTlgaJcFyBJklqvoQHq6gqorQ0aGwtoaIh1bo2N0NDwzvNNTdDc/O4/U9r0e0ZAQUGisPDdfxYXp+ytmaKilo8zt6KiZsrKEqWlzRQXt/9+kiSpMzKgS5LUDlKCVasKWLGigJqaQmpqClixopCamkJWrixg1ap1b6tX//fjNUG8vj7zs66ugKamyPVH22qFhZmgviawl5Zmfvbo0UzPnu/c1n/cs2czvXo107t3E+XlTfTuveZ+Zll0/l0jSermDOiSJG1EczMsW1ZIdXURS5YUsmxZIcuWFbF8eQHLlhVlH2duy5dnfq5YkQnhzc2bToylpf8dRnv0aKaysmFtcC0ry4TY9X+WlGys1Trz3KZaviM23YSe0qZb4tdvuV+/Nb++PqirC2prCzbwM3N/9erMyYwFC4rXOWlRV7fpK/IKChK9ejVTXt5ERUUTffpkfr5za6RPn2YqKhqpqGiib98mqqoy9wu84E+SlCcM6JKkbqeuLli8uIhFi965LV6cuS1ZUkR1dRHV1ZlQvnRp4bsG7aKilA2CmaA3cGAD48bVUl6+4Vbe3r0zj3v1aqJXr0wQL/Iv8SY1NsLq1QWsXFnAypWZ3gg1NYUb7J2wYkXB2hMl06aVZk+mFNLYuOF/w4KCRGVlJqxXVWV+9u3bSL9+mVv//u/c+vVrpLS0FdcESJK0hfxaIEnqMhoaYPHiYubPL2LBgmLmzy9mwYIi5s8vZuHCNWG8mBUrCjf4+srKTDirrGxi9Og6dttt1drAtia8VVW90zprt+qOUVQE5eXNlJc3A42b/fo1lxus6eWw5uRLdXXhOidkliwp4vXXS3n22V4sXbrhr0jl5U30799A//6NDBjQyKBBDQwcuOZnA4MGNdK/f4MnXiRJW8Q/H5KkTiElqK4u5K23innrrZLsz2LefruYN9/MhPHFi4tIad3EXFzcvDZAjR9fx957r8y2iDas00JaVdXo4GVdVAT06pW5fn3o0IZWvaahAaqr1+1hsWhR8Tq9Ll58sScLFhTR0LBuH/mIRL9+mWNu6NAGBg9uYMiQNbd6hgxpoKqqyZM7kqT/YkCXJOWFlGD58kLmzi1m7twS5s0ryf4s5s03S3j77WJqa9cNQj16NK8NPNtuW8vAgY3ZVsxMS+bAgQ1UVhqEtPmKi8keTxtvsU8Jli4tzPbYKMr22nin58brr5fyl7+Us3r1usduWVkzgwc3MHRoPcOGNTB8eD3DhtUzfHg9w4c30KePx60kdUcGdElSh2luhgULipg9u5RZs0qYM6eE2bPfCeM1Net2Pa+sbGTYsHrGj69l//1XrA3ja24VFYYY5VYE2csfmth22w2vk1JmoME1vT7W9AJ5881M74+XX+7xX13qe/duWhvat9mm5a2OgQMbHdhOkrooA7okqU2t6Yr+xhulzJyZCeKzZ5cwa1Ypc+eWrNMKXlzcvLbFcNddV63TgjhsWD29ezfn8JNIbSMCKiubqKxsYrvtaje4Tk1NQfZEVaYHyZpeJDNmlPKnP5Wv042+rCzz/2bkyDq22aaekSPrGT26jtGj66iqauqojyVJagcGdEnSFmlshHnzSnjjjdIWt8zjZcve+fOyJoSPHFnPPvvUrG0FHDmynkGDGijc8HhtUrfSu3cz225by7bb/neAb2qCt98uZvbsknV6n2wovFdUNGbD+juhffToOoYNq3fgOknqBPxVLUnaqKamTBCfNq2U118vY/r0Ul5/PRPIWwaDfv0aGD26noMPXr42FIwaVceQIYZwaWsUFsKwYQ0MG9bA3nuvXGdZUxO89VYxM2eWrnOy7E9/6s2vf121dr3i4mZGj65j7Ng6xo2rY9y4WsaNywR3/39KUv4woEuS1lq0qIjXXitj6tTM7fXXS5kxo5S6uneC+NCh9YwdW8e++9YwZsw7Qbyiwu7oUkcrLIThwxsYPryB97+/Zp1ly5YVrA3uM2aUMn16GS++2JNHHqlcu05paTNjxmSC+4QJtUyYkGnF799/86ezkyRtvXYL6BFxC3A4sCCltOMGlp8MXAAEsAI4J6X0YnvVI0l6R0NDMGNG6dowvubnkiXv/FkYOLCBceNqOeGElYwfX8vYsZkv8b16GcSlzqCiopmdd17NzjuvXuf5lSsLeP31TE+YadMyJ+KeeaYXDz5YuXadvn0b14b1bbfNBPcxY+ooLk4d/CkkqXtpzxb0W4GrgZ+/y/I3gP1TStURcShwI7BXO9YjSd3S6tXB1KllvPJKD155JfNz2rRSGhszreIlJc2MG1fHBz6wYu0X8QkTaqmsdLApqSvq1auZnXZazU47rRvcly4tXNt7Zs1Juzvv7Et9feZ3RVFRM+PH17HddqvZbrtatttuNRMm1NKjh6FdktpKuwX0lNKfImLURpb/rcXDvwPD26sWSeouVq2KbBDvwcsvZ8L4jBmlNDdn5iKrrGxk++1X8/GP1/Ce92RaxrbZps7BoyRRWdnEnnuuZM8937nOvbERZs/O9LZ59dXM7fHH+3D//X0BKChIjBlTx/bbvxPat9tuNT17GtolaUvky1eyM4FHcl2EJHUmDQ0wfXoZ//lPD/7znx78+989ef31d8L4gAENbLfdag46aDnbbbeaHXaoZdCgBucNl9RqRUUwZkwdY8bUceihy4DMVIrz5xfz0kvv9Mz52996M2VKZlC6goLE2LF1TJy4ih13XM2OO65m3Lhaiotz+UkkqXPIeUCPiAPJBPT3b2Sds4GzAYYMGdJBlUlS/kgJ3nyzmBdf7Mm//50J5K+80mPt4G0VFY3suONqPvjB5ey442p22GE1AwY4yJOkthcBgwc3MHhwAwcdtGLt8wsXFvHSSz3WnjR87LF3WtpLS5vZbrtMWJ84cTW77LKKIUM8YShJ64uU2q8LUraL+4MbGiQuu3wn4NfAoSmlqa3Z5g477JDuvvvutitSkvJQXV3wyitlvPBCT158MXNbuDDT/FRW1sz222dC+MSJq9lxx1UMH+4XXUn5JSWYO7ck28OnBy+91IOXX+5BbW3mxOKAAQ3svPMqdtllFTvvvIrttqultNSu8ZK6vokTJ/4jpbT7hpblrAU9IrYB7gdObW04l6SuavHiQp5/vhf//GcmjL/yStnaOcaHD69nzz1Xrv0iO358rdeMS8p7ETBiRD0jRtSv7R7f2AjTpq178vEPf6gAMnO1b7ddLTvvvIrddlvFrruupF8/B6uU1L20Wwt6RNwJHAD0B+YD3wSKAVJK10fEzcCxwKzsSxrf7SxCS7agS+rsMq1Kxfzzn5lA/s9/9mLmzFIg0w10hx1Ws/POq9be+vf3C6qkrmvRosK1Yf3FF3vy0kvvXL4zalQdu+22kt12W8Vuu620t5CkLmFjLejt2sW9PRjQJXU2KcHrr5fy7LPvBPIFCzLd1cvLm9b58rnDDrXOMyypW2toCF56qWydk5grVhQCMHBgw9rfmXvssZKxY+sM7JI6nbzs4i5JXVVKMHNmCc8+24tnnunNs8/2YsmSzK/bQYMaeO973wnk48bVUVCQ44IlKY8UFyd22WU1u+yymjPOgOZmmD69dG1g/8c/evG731UC0LdvI3vssZI996xhjz1WMmpUvYFdUqdmQJekNjBnTjHPPNObZ57pxbPP9lo7oNvAgQ3ss08Ne+5Zw+672z1TkjZXQQFMmFDHhAl1TJ68ZO1lQs8+2zt7IrQXjz6auY594MAGdt99ZXY+9xpGjGjIcfWStHkM6JK0BZYtK+Tpp3vx1FO9eeqp3sybVwJA//4N7LHHymyLzkq22cbWHElqS5nB5xoYMaKaY46pJiWYPbtk7QnSZ57pxcMPVwKZQTbf974a9t67hr32WklFhWN6SMpvBnRJaoX6+uD553vy97/35qmnevHyyz1IKejdu4k99ljJJz6xiL32qmH0aAO5JHWkCBg5sp6RI+s5/vhMYH/jjRKefjpzAvV3v6vg3nv7EpHYfvvV7L33Svbeu4ZddllFSYljfkjKLw4SJ0nvYtasEv7yl9785S/lPPdcL2prCygqSuy006q1LTI77rjaKc8kKY81NsJ//tODp57qzd//3pt//asnjY1BWVkzu+++kve/fwX77VfDNtvU57pUSd2Eo7hLUiusXh08+2wv/vKXcv7yl97MmZOZ+mzkyDr23beGffbJXEfeq1dzjiuVJG2plSsLePbZzCVKf/1rb2bNyvyuHzGijve/v4b3v38Fe+yxkh49Otd3ZEmdh6O4S9K7mD27hCefzATy557rRX19AWVlzey5Zw2nnrqY97+/hhEjbFWRpK6iV69mDjhgBQccsAKAOXPW9Jbqza9/XcWdd/ajpKSZPfZYyb771rD//itsXZfUYWxBl9StNDbCiy/25Mkny3niiXLeeKMMgNGja9e2nLz3vasoLe1cvxslSVuvri74xz96rQ3sLf9GHHDACvbffwU777zKS5skbRW7uEvq1lasKOCvf+3Nk0/24c9/7s2yZUUUFTWz++6rOOCA5XzgAyucikeS9F/mzCnmT38q54kn+vDccz1pbCygoqKR/farYf/9l7PvvjWUl3vZk6TNYxd3Sd3OggVFPP54Hx57rA/PPdeLxsagsrKRD3wg0wKy77419O7tlypJ0rsbMaKBk09ewsknL6GmZs3J3nL+/OdyHnywkqKixO67r+Sgg5bzwQ8uZ+DAxlyXLKmTswVdUpcxa1YJjz2WCeX/+ldPAEaNquPAA5dzwAGZbomFhTkuUpLU6TU1ZS6XeuKJcv74xz7MnJkZaG6nnVZx0EHLOeig5Ywc6XXrkjbMLu6SuqSU4LXXyvjDHzKhfPr0zLWC22+/moMOWs6HPrScMWPqclylJKkrSwlmzChde4L45Zd7ADBuXO3av0XbbltLRI4LlZQ3DOiSuoyU4JVXyvi//6vg0UcrmDu3hIKCxG67rVrbxXDoUK8nlyTlxptvFvP44334wx/68PzzPWluDoYPr+eQQ5ZxyCHLeM97DOtSd2dAl9SprWkpf/TRCh59tA9z5pRSWJh43/tq+PCHl3Pggcvp27cp12VKkrSOJUsK+eMf+/D73/fh73/vTVNTsM02dRxyyDIOPtiWdam7MqBL6nRSgqlTS3n00Qr+7/8qmDUrE8r32quGgw/OXN9XWWkolyR1DtXVhTz+eB8efbSCZ57pRVNTMHJkHQcfnGlZnzChzrAudRMGdEmdxpw5xTzySCUPPVTBjBllFBQk9txzJYccsoyDDlpOVZWhXJLUuS1ZUshjj/Xh//4vE9abm4OxY2s57LBlHHbYUoYP91ItqSszoEvKa0uWFPLooxU89FAlL76YGX19t91Wcthhy/jQh5bRr5+hXJLUNS1eXMgf/lDBww9X8M9/9gJg551X8dGPLuWQQ5Z5CZfUBRnQJeWdVasKeOyxch5+uJKnnspclzd+fC0f/ehSDj10mQO9SZK6nTffLObhhyt4+OFKpk0ro7AwsffeNXz0o0v54AdX0LNnc65LlNQGDOiS8kJzMzz7bC8eeKCSP/yhgtWrCxgypH5tl74JE5wSTZIkyIzD8vDDlTz8cAVvvVVCjx7NfOhDyzjyyKXsscdKCgpyXaGkLbWxgF7U0cVI6n5mzSrhgQcqefDBSt56q4Ty8iY++tGlHHHEUnbZZZVfMiRJWs+ECXVMmDCfz31uPi+80JMpUyp59NEKfvvbKoYMqeeII5Zy5JFL2Wab+lyXKqkN2YIuqV2sWFHAo49W8MADlbzwQi8KCjLd9I48cikHHricsrLO9btHkqRcq60N/vjHPjzwQObysObmYNddVzJpUuZ69fJyu8BLnYFd3CV1iJTgued6cd99VfzhD32oqytg7NhaJk1ayuGHL2XgwMZclyhJUpewYEERDz5YyQMPVDJjRhmlpc186EPLOfbYanbffaVTtkl5zC7uktrVokVFPPBAJfffX8Xs2aWUlzdx1FHVHHXUUnbYYbVfEiRJamMDBzZyxhmLOP30Rbz0Ug9+85tKHn64koceqmSbbeo45phqjjyymv79HQVe6kxsQZe0RZqa4G9/681991Xx5JN9aGwM3vvelRx77BI+/GG7sEuS1NFqa4Pf/76C++6r4h//6EVRUeKAA5ZzzDHV7LNPDYWFua5QEtiCLqkNvf12Efff35df/7qSt98uoW/fRk49dRFHH13N6NEOVCNJUq6UlSWOOCIzCOsbb5Rw//1VTJlSxR/+UMHgwfUcffRSjjlmCYMHe8mZlK9sQZe0Sc3N8PTTvbjrrn488UQ5KcE++9RwzDHVHHjgCoqLO9fvEUmSuouGhuCPfyznvvuqeOqp3hQUwAEHLOdjH1vCXns5XZuUC7agS9oiy5YVMGVKFffc05eZM0upqmrk9NMXcdxxSxg+vCHX5UmSpE0oLk4cfPByDj54OXPnFnPvvX25//4qHnusglGj6jjhhCVMmlRNRYUjwEv5wBZ0Sf/lpZfKuOeevjz8cCW1tQXssstKPvaxJRx88HJKSjrX7wxJkrSu+vrg//6vD3fd1Y8XX+xJWVkzhx22lI99bAnbb1+b6/KkLs8WdEmb1NCQ+WN9xx39+Pe/e9KjRzOHH575Y/2e9/jHWpKkrqKkJHH44cs4/PBlvPpqGXff3ZeHHqrk/vv7stNOqzjppMUcfPByL2GTcqDdWtAj4hbgcGBBSmnHDSwP4ErgMGAVcFpK6Z+b2q4t6FLbqq4u5Fe/6svdd/dlwYJiRo2qY/LkxUyatJTycru7SZLUHaxYUcCUKZXcdVc/Zs4sZeDABiZPXsJxxy2hqsqp2qS2tLEW9PYM6B8AaoCfv0tAPwz4LJmAvhdwZUppr01t14AutY1p00q5445+PPhgJXV1BeyzzwpOOWUx++5b44AxkiR1U83N8Ne/9ub22/vxt7+VU1qa6VF38smLGT++LtflSV1CTrq4p5T+FBGjNrLKkWTCewL+HhGVETEkpfRWe9UkdXfNzfDnP5fzi1/04+mne1NW1sykSZk/umPH+kdXkqTurqAA9tuvhv32q2H69MzJ/N/+tpL77uvL+95Xw6mnLuL97/dkvtRecnkN+jBgTovHc7PPGdClNlZXF0yZUsltt/Vn1qxMt7Xzznub446rprLSbmuSJOm/jRtXxze/+SbnnTefe++t4s47+/GZz4xi1Kg6Pv7xRUyatJTSUq9Tl9pSpxgkLiLOBs4GGDJkSI6rkTqPZcsKuOeeftxxR18WLy5m++1X8/3vz+HDH15GcXGuq5MkSZ1BZWUTZ521iE98YhG//30Ft93Wn0suGcY11wzk5JOXcMIJi52mTWojuQzo84ARLR4Pzz73X1JKNwI3QuYa9PYvTerc3nqrmF/8oh/33lvF6tWF7LvvCs44Yy577LGSiFxXJ0mSOqPiYjjssGUceugynnmmFz/7WX9+8pNB3HRTf447rppTT13MkCENuS5T6tRyGdCnAOdGxF1kBolb5vXn0tZ57bVSbr11AL/7XQUpwaGHLuO00xax7bZOkyZJktpGBOy110r22mslr71Wxq239ueXv+zHnXf249BDl3LaaYuYMMGxbaQt0Z6juN8JHAD0B+YD3wSKAVJK12enWbsa+AiZadZOTyk9t6ntOoq79N9eeKEHN944kD//uZwePZo49tjMWeyhQz2LLUmS2t+bb2Z67913X6b33gc+sJyzz17IzjuvznVpUt7JyTRr7cWALmWkBM8914sbbhjA00/3prKykVNOWczkyUuoqHDgN0mS1PGWLSvkrrv6cvvt/Vi6tIi99qrhk59cyO67e5mdtIYBXepCUsrMT3rjjQN4/vle9OvXwOmnL+L446vp2dMBWiRJUu6tWlXAr35Vxc9+1p/Fi4vZbbeVnH32QvbZp8agrm7PgC51Ac3N8MQT5dx44wBeeqkngwfXc8YZizj66GrKyjrX/2NJktQ91NYG999fxS23DGD+/GJ22GEVZ5+9kAMOWOFc6uq2DOhSJ9bcDI891ofrrhvItGllDB9ez1lnLWTSpKUUF3eu/7+SJKl7amgIpkyp5OabBzB3bgkTJqzmnHMWctBBy21RV7ezsYDeKeZBl7qjlOBPfyrn6qsH8uqrPRg1qo7vfncOhx66jCL/50qSpE6kuDhx7LHVHHlkNY88UsmNNw7g85/fhu22W81nPrOAD3xghUFdwoAu5Z2U4KmnenPNNQP51796Mnx4PZdeOpfDDltqMJckSZ1aUREcccRSDj10KQ8/XMl11w3k3HNHstNOq/jMZxaw995eo67uza/7Uh559tmeXH31IP75z14MGVLPxRfPY9KkaoqLc12ZJElS2ykqgkmTMkF9ypQqrr9+AJ/85Ch2220l5547nz32WJXrEqWcMKBLeeCFF3pw9dWDePrp3gwY0MBFF73JscdWU1LiNeaSJKnrKi6GY4+t5ogjlnLffVXcdNMAzjhjDHvtVcO5585nl12cR13diwFdyqEZM0r58Y8H8cc/9qFv30a+9KW3OOGEJY7KLkmSupWSksSJJy7h6KOrufvuvtxyywBOPXUsH/zgcs47723GjKnPdYlShzCgSzmwYEER1147kF//uooePZr57Gfnc8opi53HXJIkdWtlZYlPfGIxxx9fzS9+0Y+f/aw/xxwznqOPruaccxYwcGBjrkuU2pUBXepAK1YU8LOf9ecXv+hPYyOceOJizj57IX37NuW6NEmSpLzRs2czn/zkQo4/fgk33jiAu+/uy4MPVnLqqYs444xF9O5to4a6JudBlzpAfX1wzz19ueGGASxdWsShhy7ls5+dz4gRDbkuTZIkKe/NmVPCVVcN5JFHKqmqauSTn1zACSdUU1zcubKMBBufB72go4uRupOU4JFHKpg0aTzf//4Qtt22lrvums5ll801nEuSJLXSiBH1XHbZXO66azoTJtTyve8N5YgjxvO73/Whk7U3ShtlQJfayX/+04OPf3w0X/7yCHr3buKGG2Zy000z2WGH2lyXJkmS1CntsEMtN900k+uvn0nv3k186Uvb8PGPj+Y//+mR69KkNuE16FIbW7CgiCuvHMSUKVX069fAJZfMZdKkpRQW5roySZKkzi8C9t23hve9r4YHHqjiyisHceKJY5k0qZrzzpvvQHLq1AzoUhuprQ1+/vP+3HxzfxobgzPOWMj//M9CBzGRJElqB4WFcMwx1Rx88DJuvHEAt9/ej9//vg9nnbWIj398kdPWqlOyi7u0lVKC3/2uD0ceOZ6rrhrEvvvW8MAD0/n85+cbziVJktpZ797NfOEL83nggenss08NV101iCOPHM+jj3p9ujofA7q0FV59tYzTThvNl760Db17N/HTn77BFVfMYcSI+lyXJkmS1K2MGFHPj388h5/+9A16927ii1/chtNOG82rr5blujSp1Qzo0hZYsaKA731vMB/72FhmzizlG9+Yxz33vM6ee67MdWmSJEnd2p57ruSee17nG9+YxxtvlPKxj43le98bzIoVRh/lP49SaTOkBA8+mJk27Ze/7Mfxxy9hypSpHH98tYPASZIk5YnCQjj++Gp++9upHH/8En75y35MmjSehx6qsNu78poBXWqlGTNKOfPMUXzlKyMYPLiBO+98na997S0qKrzOXJIkKR9VVDTzta+9xZ13vs6gQQ1ceOEIzjprFDNmlOa6NGmDDOjSJqxaFVxxxSCOPXYcr77ag69/fR633z7D+cwlSZI6iR12qOWOO2bw9a/P45VXenDssWO54opBrFoVuS5NWocBXXoXKcFjj5Vz5JHjueWWAXz0o0v57W+ncsIJdmeXJEnqbAoL4YQTMt3eDztsGbfcMoCjjhrPY4+V57o0aS0DurQBCxYUcf7523D++SMpL2/mtttm8J3vzKNfv6ZclyZJkqSt0K9fE5deOo9bb51Br17NnH/+SM4/fwQLFhTlujTJgC61lBLce28VRx01nr/+tTef//zb3H33dHbbbVWuS5MkSVIbeu97V3HPPdM5//y3+ctfyjnqqPHcd1+Vg8gppwzoUtbs2SWceeYovvWtYbznPau5777pnHHGIoqLc12ZJEmS2kNxMZx55iLuu286225by8UXD+Oss0Yxe3ZJrktTN2VAV7fX2Ai33NKfY44Zxyuv9OCb35zHzTfPZOTI+lyXJkmSpA4wcmQ9P/3pG3zjG/N4+eUeHHPMOG65pT+NjbmuTN2NAV3d2quvlnHSSWO54orB7LtvDQ88MI3jjqumwP8ZkiRJ3UpBQWbu9N/8Zhr77FPDFVcM5qSTxvLqq2W5Lk3diDFE3VJ9ffCTnwxk8uSxzJ9fzOWXz+bHP57NwIGeJpUkSerOBg1q5MorZ/PDH85m/vxiJk8ey09+MpD6eqdkU/szoKvbee21Uk48cQw33TSQww9fypQp0zj44OWEv3MlSZIERMAhhyxnypRpHH74Um66aSAnnjiG114rzXVp6uIM6Oo2mprg5pv7M3nyWBYvLuLqq2fxne/Mo6LCqdMkSZL03yoqmvjOd+Zx1VWzWLy4iMmTx/LTn/anya+PaiftGtAj4iMR8VpETI+ICzewfJuI+GNEPB8R/4qIw9qzHnVfs2eXcNppo7nyysEceOAKfv3r6ey//4pclyVJkqRO4IADMt8fDzxwBT/+8WBOP300c+Y40rvaXrsF9IgoBK4BDgW2B06MiO3XW+1rwD0ppV2BycC17VWPuqeU4J57qjjuuHG8/noZ3/veHC6/fA5VVZ72lCRJUutVVTVx+eVz+N//ncP06WUce+xY7rnHedPVttqzBX1PYHpKaUZKqR64CzhyvXUS0Cd7vwJ4sx3rUTczf34R55wzkm9/exi77LKK+++fxkc/usxrzSVJkrRFIuDww5dx//3T2Xnn1Xz728M455yRLFhQlOvS1EW0Z0AfBsxp8Xhu9rmWLgZOiYi5wMPAZ9uxHnUjjz7ah2OOGcc//tGLr371TW64YSaDBztCuyRJkrbe4MEN3HDDTC666E3+8Y9eHH30OB59tM+mXyhtQq4HiTsRuDWlNBw4DPhFRPxXTRFxdkQ8FxHPVVdXd3iR6jxWrw4uvngoX/ziNowaVc+9905n8uQltppLkiSpTRUUwIknLuFXv5rOqFH1fPGL2/Ctbw1l9Wq/eGrLtWdAnweMaPF4ePa5ls4E7gFIKT0FlAH9199QSunGlNLuKaXdq6qq2qlcdXbTppVy4oljuf/+Ks46ayG33jqDkSPrc12WJEmSurBRo+q59dYZnHnmQu67r4qTThrL9OlOx6Yt054B/VlgfESMjogSMoPATVlvndnAQQARsR2ZgL6wHWtSF7RmILgTTxzL0qWF3HDDTM47bz7FxbmuTJIkSd1BcTGcf/58rr9+JtXVhUye7ABy2jLtFtBTSo3AucCjwCtkRmt/KSIuiYhJ2dX+H/A/EfEicCdwWkoexmq95csL+H//bwTf/vYwdt99JffeO529916Z67IkSZLUDe2zT+b76Hvfu5Jvf3sY/+//jWD58lxfVazOJDpbHt5hhx3S3XffnesylAdeeKEHF1wwggULivnc5+bziU8sosDff5IkScqx5ma49db+XHXVIAYObOCyy+aw886rc12W8sTEiRP/kVLafUPLjDPqdJqb4eab+3PaaWOIgNtum8HppxvOJUmSlB8KCuCMMxZx220ziIBPfGIMN9/cn+bmXFemfGekUaeybFkBn/3sNlx55WA+9KHl/OpX09lpJ89GSpIkKf/stNNq7rlnOgcdtJwrrxzM5z63jV3etVEeHeo0XnstM0r73/7Wm69+9U1+8IM5lJd7GlKSJEn5q0+fZn74wzlcdNGb/PWv5UyePJbXXnOUd22YAV2dwkMPVXDKKWOprS3gZz97w7nNJUmS1GlEZOZM/9nPZlBbW8App4zloYcqcl2W8pABXXmtoQG+973BXHjhCLbffjX33PM6u+xil3ZJkiR1Prvskvk+u/32q7nwwhF8//uDaWjIdVXKJwZ05a1Fi4o466zR3HFHf045ZRE33/wG/fs35rosSZIkaYv179/IzTe/wSmnLOL22/tz1lmjWbSoKNdlKU8Y0JWXXnihByecMJZXXunB978/hwsueJvi4lxXJUmSJG294mK44IK3+d735vDyyz342MfG8sILPXJdlvKAAV15JSW4886+nH76GMrKmrn99tc57LBluS5LkiRJanMf/egybr/9dUpLmzn99NHcdVdfUsp1VcolA7ryRmMjXHrpEL773aHss88K7rrrdSZMqMt1WZIkSVK72XbbOu6883X22aeGSy8dyqWXDqHRqzq7LQO68sKKFQV85jMjufvufpxxxkKuumo2ffo4hZokSZK6voqKZq66ajann76Qu+/ux7nnjmTFCqNad9Sqf/WIuD8iPhoRHiVqc3PnFnPqqWN45pneXHLJXD7/+fkUeKRJkiSpGykogC98YT7f+tY8nn66N6eeOoa5cx2EqbtpbQy6FjgJmBYR34uIbduxJnUjL7zQg5NPHsvChUXceONMjj56aa5LkiRJknLmmGOqueGGmSxcWMTJJzt4XHfTqoCeUvpDSulkYDdgJvCHiPhbRJweEZ7W0RZ56KEKzjxzNL17N3HHHTPYY4+VuS5JkiRJyrk991zJHXfMoHfvJs48czQPPVSR65LUQVrdkTgi+gGnAWcBzwNXkgnsv2+XytRlpQTXXDOQCy8cwU47reaOO2YwalR9rsuSJEmS8saoUfXccccMJk5czYUXjuDaawc6wns30Npr0H8N/BnoCRyRUpqUUro7pfRZoHd7Fqiupa4uuOCC4Vx//UCOPLKaG2+cSWVlU67LkiRJkvJOZWUTN900kyOPrOa66wZywQXDqauLXJeldlTUyvVuSik93PKJiChNKdWllHZvh7rUBS1bVsBnPzuS55/vxXnnvc2ZZy4i/P0iSZIkvavi4sS3vz2PUaPquPLKwbz9djFXXTWLigpnPOqKWtvF/TsbeO6ptixEXduCBUWcdtoY/vOfHvzwh7M56yzDuSRJktQaEXDWWYv44Q9n85//9OD008ewcGFr21rVmWw0oEfE4Ih4L9AjInaNiN2ytwPIdHeXNmn27BI+/vExvPlmMddeO4tDDlme65IkSZKkTueQQ5ZzzTWz1k5TPGdOSa5LUhvbVAv6IcAPgeHAj4DLs7cvABe1b2nqCl59tYyPf3w0q1YV8NOfzuR973OkdkmSJGlL7b33Sm65ZSYrVxZw6qmjefXVslyXpDa00YCeUrotpXQgcFpK6cAWt0kppfs7qEZ1Us8915PTTx9NcXHi1ltnsOOOq3NdkiRJktTp7bjjam67bQZFRXD66aN57jk7N3cVm+rifkr27qiI+ML6tw6oT53UH/9Yzqc+NYoBAxr4xS/eYMwYp1GTJEmS2sqYMfXcfvsMBgxo4FOfGsUTT5TnuiS1gU11ce+V/dkbKN/ATfovv/lNJZ///DZMmFDLbbe9weDBDbkuSZIkSepyBg9u4Lbb3mD8+FrOP38bHnigMtclaSttdOi/lNIN2Z/f6phy1Nndems/Lr98CHvvXcOPfzybnj2d/kGSJElqL1VVTdx880zOP38bvva14SxdWsgnPrE412VpC7VqmrWIuCwi+kREcUQ8FhELW3R/lwC45pqBXH75EA4+eBlXXz3LcC5JkiR1gF69mrnmmll8+MPL+OEPh3DttQNzXZK2UGvnQT84pbQcOByYCYwDvtReRanzufbagVx//UCOPrqayy6bQ0lJynVJkiRJUrdRUpL4wQ/mcNRR1Vx33UCuu25ArkvSFmjt7PZr1vso8KuU0rKIaKeS1Nlcd90ArrtuIEcdVc3FF8+joLWnfSRJkiS1mcJC+Na35pESXHvtIADOOWdhjqvS5mhtQH8wIl4FVgPnRMQAoLb9ylJncf31A7j22kEceWQ13/qW4VySJEnKpYKCdUN6QQF88pOG9M6iVQE9pXRhRFwGLEspNUXESuDI9i1N+e6GGwZwzTWDmDTJcC5JkiTli8JCuOSSTEi/+upBRMDZZxvSO4PWtqADvIfMfOgtX/PzNq5HncRNNw3g6qsHccQR1VxyyTwKC3NdkSRJkqQ1Cgvh29+eB8BVVw2ioCBx1lmLclyVNqVVAT0ifgGMBV4AmrJPJwzo3dLNN/fnJz8ZxOGHL+Xb3zacS5IkSfloTUhvbg6uvHIwgCE9z7W2BX13YPuU0mYNzR0RHwGuBAqBm1NK39vAOicAF5MJ/C+mlE7anPdQx/rpT/tz5ZWD+ehHl/Kd78w1nEuSJEl5rLAQLr10LinBlVcOpqAAzjjDkJ6vWhvQ/wMMBt5q7YYjohC4BvgwMBd4NiKmpJRebrHOeOArwL4ppeqIcMK+PHbLLf358Y8Hc9hhS7n0UsO5JEmS1Bm0DOlXXDGYCDj9dEN6PmptQO8PvBwRzwB1a55MKU3ayGv2BKanlGYARMRdZAaWe7nFOv8DXJNSqs5ub8Fm1K4OdM89VVxxxWAOPdRwLkmSJHU2RUXw3e/OBeBHPxpMr15NnHBCdY6r0vpaG9Av3oJtDwPmtHg8F9hrvXUmAETEX8l0g784pfS7LXgvtaPHHivnO98Zyv77L+e7351L0eYMLShJkiQpL6wJ6StXFnDppUPp16+Rgw5akeuy1EKrJsZKKT0JzASKs/efBf7ZBu9fBIwHDgBOBG6KiMr1V4qIsyPiuYh4rrraszwd6Z//7MmXvzyCiRNX84MfzDGcS5IkSZ1YURH84Adz2HHH1VxwwQj++c+euS5JLbQqoEfE/wD3AjdknxoG/GYTL5sHjGjxeHj2uZbmAlNSSg0ppTeAqWQC+zpSSjemlHZPKe1eVVXVmpLVBqZPL+Xcc0cydGgDV189ix49NmuMQEmSJEl5qGfPxNVXz2LIkAbOPXck06eX5rokZbUqoAOfAfYFlgOklKYBmxrQ7VlgfESMjogSYDIwZb11fkOm9ZyI6E+my/uMVtakdvT228V86lOjKCtr5vrrZ1JV1bTpF0mSJEnqFKqqmrj++pmUljbzqU+N4u237SqbD1ob0OtSSvVrHkREEZlp0d5VSqkROBd4FHgFuCel9FJEXBIRawaXexRYHBEvA38EvpRSWry5H0Jta9myAj71qZGsXFnAddfNYtiwhlyXJEmSJKmNDRvWwPXXz2LlygLOOWcUy5a1Nh6qvbT2X+DJiLgI6BERHwZ+Bfx2Uy9KKT2cUpqQUhqbUro0+9w3UkpTsvdTSukLKaXtU0oTU0p3bekHUduorQ0+97mRzJ5dwpVXzmbbbWtzXZIkSZKkdrLttrVceeVsZs0q4XOfG0ltbeS6pG6ttQH9QmAh8G/gk8DDwNfaqyjlRlMTXHDBCJ5/viff/e5c9txzZa5LkiRJktTO9txzJd/97lyef74nF144nCavbs2ZVl1okFJqjojfAL9JKS1s35KUCynBpZcO5fHH+3DhhW/ykY8sz3VJkiRJkjrIRz6ynMWL3+J73xvKd7/byNe+9hZhY3qH22gLemRcHBGLgNeA1yJiYUR8o2PKU0e58cYB/OpXfTnzzIWcfPKSXJcjSZIkqYOdfPISzjhjIffc048bbxyQ63K6pU11cf88mdHb90gp9U0p9QX2AvaNiM+3e3XqEI89Vs7VVw/iiCOqOe+8+bkuR5IkSVKOnH/+fI44opqrrx7EY4+V57qcbmdTAf1U4MTsHOUApJRmAKcAH2/PwtQxXn+9lIsuGs7Eiav45jfftBuLJEmS1I1FwDe/+SYTJ67ioouGM2OGc6R3pE0F9OKU0qL1n8xeh17cPiWpo6xYUcB5521Djx7NXHHFbEpLNzpzniRJkqRuoLQ08aMfzaasLHHeeduwYoXTr3WUTe3p+i1cpjzX3Axf+cpw5s0r4fLL5zBoUGOuS5IkSZKUJwYPbuRHP5rN3LklfOUrw2luznVF3cOmAvrOEbF8A7cVwMSOKFDt47rrBvLkk3244IK3eO97V+W6HEmSJEl55r3vXcWXv/wWTz7Zh+uvH5jrcrqFjU6zllIq7KhC1HEef7yc668fyFFHVfOxjzliuyRJkqQNmzx5CS+91IPrrhvIdtut5sADV+S6pC7Niwm6mRkzSrjoouHsuOMqvvY1B4WTJEmS9O4i4Otff5MddljFV74ynBkzSnJdUpdmQO9GMoPCjaS0NHHFFXMcFE6SJEnSJpWWJn7840x+OO+8kdTUGCPbi3u2m2huhosuGs7cuSVcfvlsBg9uyHVJkiRJkjqJwYMb+OEPHTSuvRnQu4kbbhjAE0/04Utfeovdd3dQOEmSJEmbZ489VvHFL77FE0/04YYbBuS6nC7JgN4NPPlkOddeO4hJk6o58UQHhZMkSZK0ZU46aQmTJlVz7bWDePLJ8lyX0+UY0Lu4RYuK+PrXh7Hddqv5xjccFE6SJEnSllszaNx73rOar399GIsWOfFXWzKgd2EpwcUXD2XVqgL+93/nOiicJEmSpK1WVpb43vfmsnJlAd/61jCSMaPNGNC7sPvvr+LJJ/tw/vnzGTu2LtflSJIkSeoixo6t4/zz5/PEE3349a+rcl1Ol2FA76LmzCnmsssGs9deNZx00uJclyNJkiSpizn55MXstVcN3//+YObMKc51OV2CAb0LamqCr351OIWF8J3vzKPAf2VJkiRJbaygAL797Uze+NrXhtPUlOuKOj+jWxd06639ef75XnzlK28637kkSZKkdjNkSAMXXfQW//xnL267rX+uy+n0DOhdzGuvlXH11QP58IeXcfjhy3JdjiRJkqQu7vDDl/LhDy/j6qsH8tprpbkup1MzoHch9fXBV74ynMrKJqdUkyRJktQh1ky91qdPE1/5ygjq6w0iW8qA3oVcffVApk0r45JL5lFZ6QUgkiRJkjpGVVUTl1wyj2nTMj16tWUM6F3Ec8/15NZb+3P88UvYb7+aXJcjSZIkqZv5wAdqOO64Jdx6a3/+8Y+euS6nUzKgdwE1NQV87WvDGT68ni9+8e1clyNJkiSpm/rSl95m+PB6vvrV4axcadzcXO6xLuCyy4bw1lvFfPe7c+nZsznX5UiSJEnqpnr2bOa7353LW28Vc9llg3NdTqdjQO/k/vKX3vz611WceeZCdtllda7LkSRJktTN7bLLas44YxH339+Xv/61d67L6VQM6J1YQwNcdtlgRo6s45xzFua6HEmSJEkC4NOfXsA229Tx/e8PpqEh19V0Hgb0Tuzuu/vxxhtlfPGLb1NcnHJdjiRJkiQBUFyc+OIX3+aNN8q4556+uS6n0zCgd1LV1YVce+1A9t67hv33X5HrciRJkiRpHQccsIL3va+Ga68dyNKlhbkup1No14AeER+JiNciYnpEXLiR9Y6NiBQRu7dnPV3JtdcOZNWqAr785beIyHU1kiRJkrSuCPjyl9+ipibTuKhNa7eAHhGFwDXAocD2wIkRsf0G1isHzgOebq9auprp00v51a/6cvzxSxg3ri7X5UiSJEnSBo0fX8fxxy/hnnv6Mn16aa7LyXvt2YK+JzA9pTQjpVQP3AUcuYH1vg18H6htx1q6jJQy06r16tXEZz6zINflSJIkSdJGfeYzC+jZs5kf/GAwyaGzNqo9A/owYE6Lx3Ozz60VEbsBI1JKD7VjHV3Kk0+W89RTvfn0pxdQWdmU63IkSZIkaaOqqpr49KcX8Le/lfOnP5Xnupy8lrNB4iKiAPgR8P9ase7ZEfFcRDxXXV3d/sXlqYaG4Ic/HMyYMbWccMKSXJcjSZIkSa3ysY8tZvToWn7wg8E0NDiI1rtpz4A+DxjR4vHw7HNrlAM7Ak9ExEzgfcCUDQ0Ul1K6MaW0e0pp96qqqnYsOb/98pd9mTWrlC996W2Ki3NdjSRJkiS1TnExfOlLbzNrVim//KXTrr2b9gzozwLjI2J0RJQAk4EpaxamlJallPqnlEallEYBfwcmpZSea8eaOq0lSwq5/vqBvP/9K3j/+2tyXY4kSZIkbZb99qth331XcMMNA1myxGnXNqTdAnpKqRE4F3gUeAW4J6X0UkRcEhGT2ut9u6qrrx5EbW0BX/rSW7kuRZIkSZK2yJe//DarVhVwzTVOu7YhRe258ZTSw8DD6z33jXdZ94D2rKUze+21Uu67r4qTTlrMmDH1uS5HkiRJkrbImDF1TJ68mDvv7McJJyxh222dNrqlnA0Sp9ZZM61anz5NfOpTTqsmSZIkqXM755yFlJc38YMfDHHatfUY0PPc44+X88wzvfnMZxZQUdGc63IkSZIkaatUVDTxmc8s4Omne/P440671pIBPY81NMDllw9m3LhajjvOadUkSZIkdQ3HH7+EceNqufzywTQ25rqa/GFAz2OPPdaHOXNK+dzn5lPUrqMFSJIkSVLHKSqCz352PnPmlPLYY31yXU7eMKDnsTvu6MeIEXXsv/+KXJciSZIkSW1q//1XMHx4PXfc0S/XpeQNA3qeeumlMl54oRcnnriEAv+VJEmSJHUxhYVw4omLef75Xrz0Ulmuy8kLRr88dccd/ejZs4mjjqrOdSmSJEmS1C6OPrqanj2b+OUvbUUHA3peWrSoiEceqeCoo5ZSXu7I7ZIkSZK6pvLyZo48cimPPFLBokWFuS4n5wzoeeiee/rS1BScdNLiXJciSZIkSe3qpJMW09BQwK9+1TfXpeScAT3P1NcHd9/dl/32W8HIkfW5LkeSJEmS2tWoUfXst98K7r67L/X1ketycsqAnmd+97sKliwp4uSTbT2XJEmS1D2ccspiFi8u5tFHK3JdSk4Z0PNISnD77f0YM6aWvfdemetyJEmSJKlD7L13DaNH13L77f1IKdfV5I4BPY88/3xPXnmlByefvJjo3j07JEmSJHUjEXDyyUt4+eUevPBCz1yXkzMG9Dxy++39KC9v4vDDl+a6FEmSJEnqUEccUU15eRO33959p1wzoOeJt94q5vHH+3DccUvo2bMb9+mQJEmS1C317Jk49tglPPZYH95+uzjX5eSEAT1P3HVXX1KCyZOX5LoUSZIkScqJyZOXkFImH3VHBvQ8sHp1cO+9VXzwg8sZOrQh1+VIkiRJUk4MG9bAgQcu5957q1i9uvsNzGVAzwMPPljJ8uVOrSZJkiRJJ5+8mGXLinjoocpcl9LhDOg5lhL88pf9eM97VvPe967KdTmSJEmSlFO7776KbbddzR13dL8p1wzoOfb3v/di+vQyp1aTJEmSJNZMubaY6dPLePrpXrkup0MZ0HPsjjv60bdvI4ceuizXpUiSJElSXjjssGX07dvIHXd0rynXDOg5NHt2CX/6UznHH7+E0tJu1ndDkiRJkt5FaWniuOOW8OST5cyZU5LrcjqMAT2H7ryzL4WFcMIJTq0mSZIkSS197GNLKCyEX/6y+0y5ZkDPoaef7s1ee9UwcGBjrkuRJEmSpLwycGAje+1VwzPPdJ/r0A3oOdLQAG+8UcK229bmuhRJkiRJyksTJtQyY0YpDQ25rqRjGNBzZObMUhobCxg/3oAuSZIkSRsyfnwtjY0FzJpVmutSOoQBPUemTSsDMKBLkiRJ0ruYMKEOeCc/dXUG9ByZOrWMoqLEmDH1uS5FkiRJkvLS6NF1FBYmpk41oKsdTZtWyqhRdRQXO72aJEmSJG1ISUli1Kg6pk2zi7va0bRpZXZvlyRJkqRNGD++1i7ubSEiPhIRr0XE9Ii4cAPLvxARL0fEvyLisYgY2Z715IsVKwp4660SJkwwoEuSJEnSxkyYUMebb5ZQU9P125fb7RNGRCFwDXAosD1wYkRsv95qzwO7p5R2Au4FLmuvevLJ9OlrBoiry3ElkiRJkpTf1vQ8nj6963dzb89TEHsC01NKM1JK9cBdwJEtV0gp/TGltCr78O/A8HasJ2+suX7CLu6SJEmStHFrclN3GCiuPQP6MGBOi8dzs8+9mzOBR9qxnrwxdWoZvXs3MWRIQ65LkSRJkqS8NnRoA716NXWL69CLcl0AQEScAuwO7P8uy88GzgYYMmRIB1bWPqZNK2PcuFoicl2JJEmSJOW3CBg3rq5bBPT2bEGfB4xo8Xh49rl1RMSHgK8Ck1JKG7woO6V0Y0pp95TS7lVVVe1SbEdJac0I7l5/LkmSJEmtMX58LVOnlpG6+CzV7RnQnwXGR8ToiCgBJgNTWq4QEbsCN5AJ5wvasZa8MX9+MStWFHr9uSRJkiS10vjxtaxYUcj8+XnRCbzdtFtATyk1AucCjwKvAPeklF6KiEsiYlJ2tR8AvYFfRcQLETHlXTbXZUyd6gBxkiRJkrQ51uSnrt7NvV1PP6SUHgYeXu+5b7S4/6H2fP98tOaAMqBLkiRJUutMmJC5RHjatDL2268mx9W0n64/03uemTatjEGDGqioaM51KZIkSZLUKVRUNDFwYEOXb0E3oHewadNKbT2XJEmSpM00fnwt06aV5rqMdmVA70ANDTBjhgFdkiRJkjbXhAm1zJhRSkNDritpPwb0DjRrVimNjQUGdEmSJEnaTOPH19HQUMDs2V23Fd2A3oHWXC+xZoADSZIkSVLrvDOSuwFdbWDq1DIKCxOjRxvQJUmSJGlzjBlTR2FhYurUrjtQnAG9A02bVsro0XWUlKRclyJJkiRJnUpJSWLUqLouPZK7Ab0DTZtW5vXnkiRJkrSFMiO5G9C1lWpqCnjzzRLGj7d7uyRJkiRtifHj65g3r4SVK7tmlO2anyoPTZ+eGcjAFnRJkiRJ2jJdfaA4A3oHWTOQgQFdkiRJkrbMOwG9a3ZzN6B3kGnTyujVq4mhQxtyXYokSZIkdUpDhzbQs2eTAV1bZ9q0MsaNqyMi15VIkiRJUudUUADjxnXdkdwN6B0gpUwX9wkT7N4uSZIkSVtjwoRapk4tJXXB2asN6B1g/vwiVqwo9PpzSZIkSdpK48fXsnx5EQsWFOW6lDZnQO8Aa7pfGNAlSZIkaet05YHiDOgdwIAuSZIkSW1jwoQ6wICuLTRtWhkDBzZQUdGc61IkSZIkqVOrqGhi4MCGLjkXugG9A0ybVmrruSRJkiS1kfHja21B1+ZraIAZM0odwV2SJEmS2sj48bXMmFFKY2OuK2lbBvR2Nnt2KQ0NBbagS5IkSVIbmTChjvr6AmbP7lrd3A3o7WzNdRFrBjKQJEmSJG2dNQ2gU6ca0LUZpk4to7AwMXq0AV2SJEmS2sKYMXUUFiamTu1a16Eb0NvZtGlljBpVR0lJynUpkiRJktQllJQkRo6s63IDxRnQ29m0aWVefy5JkiRJbWz8eAO6NsPKlQXMm1fC+PF2b5ckSZKktjR+fC3z5pWwcmXXibVd55PkoTUDxNmCLkmSJElta03Omj696wwUZ0BvR2u6WzgHuiRJkiS1rTU5qyt1czegt6Np08ro1auJoUMbcl2KJEmSJHUpQ4c20LNnkwG9tSLiIxHxWkRMj4gLN7C8NCLuzi5/OiJGtWc9HW3atDLGjasjIteVSJIkSVLXUlAA48bVrb20uCtot4AeEYXANcChwPbAiRGx/XqrnQlUp5TGAVcA32+vejpaSjB1aqnXn0uSJElSOxk/vpapU8tIXWRW6/ZsQd8TmJ5SmpFSqgfuAo5cb50jgduy9+8FDoroGu3NCxYUsXx5kQFdkiRJktrJ+PG1LFtWxMKFRbkupU20Z0AfBsxp8Xhu9rkNrpNSagSWAf3asaYOs+Y6CAO6JEmSJLWPCRMyU1p3levQO8UgcRFxdkQ8FxHPVVdX57qcVnlnBHfnQJckSZKk9rCmQbSrXIfenv0A5gEjWjwenn1uQ+vMjYgioAJYvP6GUko3AjcC7LDDDp3i6oLjjlvCrruupKKiKdelSJIkSVKXVFnZxC9+8Tpjx3aNhtH2bEF/FhgfEaMjogSYDExZb50pwCey948DHk+pa1zeX17ezC67rM51GZIkSZLUpe2yy2rKy5tzXUabaLcW9JRSY0ScCzwKFAK3pJReiohLgOdSSlOAnwK/iIjpwBIyIV6SJEmSpG6nXYe6Syk9DDy83nPfaHG/Fji+PWuQJEmSJKkz6BSDxEmSJEmS1NUZ0CVJkiRJygMGdEmSJEmS8oABXZIkSZKkPGBAlyRJkiQpDxjQJUmSJEnKAwZ0SZIkSZLygAFdkiRJkqQ8ECmlXNewWSJiITAr13W0Un9gUa6LkDaDx6w6E49XdTYes+pMPF7V2XSmY3ZkSmnAhhZ0uoDemUTEcyml3XNdh9RaHrPqTDxe1dl4zKoz8XhVZ9NVjlm7uEuSJEmSlAcM6JIkSZIk5QEDevu6MdcFSJvJY1adicerOhuPWXUmHq/qbLrEMes16JIkSZIk5QFb0CVJkiRJygMG9DYQER+JiNciYnpEXLiB5aURcXd2+dMRMSoHZUpAq47XL0TEyxHxr4h4LCJG5qJOaY1NHbMt1js2IlJEdPoRXNV5teZ4jYgTsr9nX4qIX3Z0jVJLrfhesE1E/DEins9+NzgsF3VKABFxS0QsiIj/vMvyiIifZI/nf0XEbh1d49YyoG+liCgErgEOBbYHToyI7ddb7UygOqU0DrgC+H7HVilltPJ4fR7YPaW0E3AvcFnHVim9o5XHLBFRDpwHPN2xFUrvaM3xGhHjga8A+6aUdgDO7+g6pTVa+Tv2a8A9KaVdgcnAtR1bpbSOW4GPbGT5ocD47O1s4LoOqKlNGdC33p7A9JTSjJRSPXAXcOR66xwJ3Ja9fy9wUEREB9YorbHJ4zWl9MeU0qrsw78Dwzu4Rqml1vyOBfg2mZOftR1ZnLSe1hyv/wNck1KqBkgpLejgGqWWWnPMJqBP9n4F8GYH1ietI6X0J2DJRlY5Evh5yvg7UBkRQzqmurZhQN96w4A5LR7PzT63wXVSSo3AMqBfh1Qnras1x2tLZwKPtGtF0sZt8pjNdl8bkVJ6qCMLkzagNb9jJwATIuKvEfH3iNhYS5DU3lpzzF4MnBIRc4GHgc92TGnSFtnc77p5pyjXBUjKTxFxCrA7sH+ua5HeTUQUAD8CTstxKVJrFZHpenkAmR5Kf4qIiSmlpbksStqIE4FbU0qXR8TewC8iYseUUnOuC5O6IlvQt948YESLx8Ozz21wnYgoItM9aHGHVCetqzXHKxHxIeCrwKSUUl0H1SZtyKaO2XJgR+CJiJgJvA+Y4kBxypHW/I6dC0xJKTWklN4AppIJ7FIutOaYPRO4ByCl9BRQBvTvkOqkzdeq77r5zIC+9Z4FxkfE6IgoITN4xpT11pkCfCJ7/zjg8eQE9MqNTR6vEbErcAOZcO61kcq1jR6zKaVlKaX+KaVRKaVRZMZNmJRSei435aqba813gt+QaT0nIvqT6fI+owNrlFpqzTE7GzgIICK2IxPQF3ZolVLrTQE+nh3N/X3AspTSW7kuanPYxX0rpZQaI+Jc4FGgELglpfRSRFwCPJdSmgL8lEx3oOlkBjWYnLuK1Z218nj9AdAb+FV2LMPZKaVJOSta3Vorj1kpL7TyeH0UODgiXgaagC+llOxVp5xo5TH7/4CbIuLzZAaMO82GJuVKRNxJ5iRn/+y4CN8EigFSSteTGSfhMGA6sAo4PTeVbrnw/5ckSZIkSblnF3dJkiRJkvKAAV2SJEmSpDxgQJckSZIkKQ8Y0CVJkiRJygMGdEmSJEmS8oABXZIkSZKkPGBAlyRJkiQpDxjQJUkSEbFHRPwrIsoioldEvBQRO+a6LkmSupNIKeW6BkmSlAci4jtAGdADmJtS+t8clyRJUrdiQJckSQBERAnwLFAL7JNSaspxSZIkdSt2cZckSWv0A3oD5WRa0iVJUgeyBV2SJAEQEVOAu4DRwJCU0rk5LkmSpG6lKNcFSJKk3IuIjwMNKaVfRkQh8LeI+GBK6fFc1yZJUndhC7okSZIkSXnAa9AlSZIkScoDBnRJkiRJkvKAAV2SJEmSpDxgQJckSZIkKQ8Y0CV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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "p_bar = [0.5]\n", + "theta = [2, 2.5, 3, 3.5, 5, 10, 25, 50]\n", + "\n", + "x = np.linspace(0, 1, num=100)\n", + "\n", + "\n", + "\n", + "for t in theta:\n", + " plt.figure(figsize=(17, 5))\n", + " for p in p_bar:\n", + " alpha = p * t\n", + " beta = (1 - p) * t\n", + "\n", + " plt.plot(x, stats.beta.pdf(x, alpha, beta), c='blue')\n", + "\n", + " plt.title(f'Beta Distribution \\n\\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \\n\\n $pbar={p_bar}$, $theta={round(t, 3)}$')\n", + " plt.ylabel('Density')\n", + " plt.xlabel('x')\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "400ba910", + "metadata": {}, + "source": [ + "### R Code 12.2" + ] + }, + { + "cell_type": "markdown", + "id": "976f033b", + "metadata": {}, + "source": [ + "#### The Beta-binomial model" + ] + }, + { + "cell_type": "markdown", + "id": "d702e71c", + "metadata": {}, + "source": [ + "$$ A_i \\sim BetaBinomial(N_i, \\bar{p}_i, \\theta) $$ \n", + "\n", + "$$ logit(\\bar{p}_i) = \\alpha_{GID[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ \\theta = \\phi + 2 $$\n", + "\n", + "$$ \\phi \\sim Exponential(1) $$\n", + "\n", + "Where:\n", + "\n", + "- $A := $ `admit`\n", + "- $N := $ `applicantions`\n", + "- $GID[i] := $ `gid` is gender index, $1$ to male $2$ to female" + ] + }, + { + "cell_type": "markdown", + "id": "e2ff5896", + "metadata": {}, + "source": [ + "The BetaBinomial distribution in Stan has the parameters like most common Beta distribuiton. Then, the model above will be rewriter like:\n", + "\n", + "$$ A_i \\sim BetaBinomial(N_i, \\alpha, \\beta) $$ \n", + "\n", + "$$ \\alpha = \\bar{p}_i \\times \\theta $$\n", + "\n", + "$$ \\beta = (1 - \\bar{p}_i) \\times \\theta $$\n", + "\n", + "$$ logit(\\bar{p}_i) = a_{GID[i]} $$ \n", + "\n", + "\n", + "$$ a_j \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ \\theta = \\phi + 2 $$\n", + "\n", + "$$ \\phi \\sim Exponential(1) $$\n", + "\n", + "Where:\n", + "\n", + "- $A := $ `admit`\n", + "- $N := $ `applicantions`\n", + "- $GID[i] := $ `gid` is gender index, $1$ to male $2$ to female\n", + "- $\\bar{p}_i := $ An average probability to gender type $i$\n", + "- $\\theta := $ Shape of parameter, describe how spread out the distribution is." + ] + }, + { + "cell_type": "markdown", + "id": "13ee14dc", + "metadata": {}, + "source": [ + "Remember that binomial model for `UCBadmit` data, defined in 11.29, was written as follow:\n", + "\n", + "$$ A_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = a_{GID[i]}$$\n", + "\n", + "$$ a_j \\sim Normal(0, 1.5) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "fae367e6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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deptapplicant.genderadmitrejectapplicationsgid
1Amale5123138251
2Afemale89191082
3Bmale3532075601
4Bfemale178252
5Cmale1202053251
6Cfemale2023915932
7Dmale1382794171
8Dfemale1312443752
9Emale531381911
10Efemale942993932
11Fmale223513731
12Ffemale243173412
\n", + "
" + ], + "text/plain": [ + " dept applicant.gender admit reject applications gid\n", + "1 A male 512 313 825 1\n", + "2 A female 89 19 108 2\n", + "3 B male 353 207 560 1\n", + "4 B female 17 8 25 2\n", + "5 C male 120 205 325 1\n", + "6 C female 202 391 593 2\n", + "7 D male 138 279 417 1\n", + "8 D female 131 244 375 2\n", + "9 E male 53 138 191 1\n", + "10 E female 94 299 393 2\n", + "11 F male 22 351 373 1\n", + "12 F female 24 317 341 2" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/UCBadmit.csv', sep=';')\n", + "df['gid'] = [ 1 if gender == 'male' else 2 for gender in df['applicant.gender'] ]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "922bf0b0", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: beta_binomial_lpmf: Second prior sample size parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_um1xkzlq/model_snenwzi7.stan', line 41, column 8 to column 94)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 6.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: beta_binomial_lpmf: Second prior sample size parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_um1xkzlq/model_snenwzi7.stan', line 41, column 8 to column 94)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 8.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: beta_binomial_lpmf: Second prior sample size parameter[1] is 0, but must be positive finite! (in '/tmp/httpstan_um1xkzlq/model_snenwzi7.stan', line 41, column 8 to column 94)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 6.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.62 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: beta_binomial_lpmf: Second prior sample size parameter[2] is 0, but must be positive finite! (in '/tmp/httpstan_um1xkzlq/model_snenwzi7.stan', line 41, column 8 to column 94)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " functions {\n", + " vector alpha_cast(vector pbar, real theta){\n", + " return pbar * theta; \n", + " }\n", + " \n", + " vector beta_cast(vector pbar, real theta){\n", + " return (1-pbar) * theta;\n", + " }\n", + " }\n", + " \n", + " data {\n", + " int N;\n", + " int qty_gid;\n", + " array[N] int admit;\n", + " array[N] int applications;\n", + " array[N] int gid; \n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_gid] a;\n", + " real phi;\n", + " }\n", + " \n", + " transformed parameters {\n", + " real theta; // Need declared here to transform the parameter\n", + " theta = phi + 2;\n", + " }\n", + " \n", + " model {\n", + " vector[N] pbar;\n", + " \n", + " a ~ normal(0, 1.5);\n", + " phi ~ exponential(1);\n", + " \n", + " for (i in 1:N){\n", + " pbar[i] = a[ gid[i] ];\n", + " pbar[i] = inv_logit(pbar[i]);\n", + " }\n", + " \n", + " admit ~ beta_binomial(applications, alpha_cast(pbar, theta), beta_cast(pbar, theta) );\n", + " }\n", + " \n", + " generated quantities {\n", + " real da;\n", + " da = a[1] - a[2];\n", + " }\n", + " \n", + "\"\"\"\n", + "\n", + "data_list = df[['applications', 'admit', 'gid']].to_dict('list')\n", + "data_list['N'] = len(df.admit)\n", + "data_list['qty_gid'] = len(df.gid.unique())\n", + "data_list\n", + "\n", + "posteriori = stan.build(model, data=data_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "bd6a7ecd", + "metadata": {}, + "outputs": [], + "source": [ + "model_12_1 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(data_list.keys()),\n", + " dims={\n", + " 'a': ['gender'],\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "b51db2ae", + "metadata": {}, + "source": [ + "### R Code 12.3" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "057f1d78", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
a[0]-0.4440.401-1.0710.2060.0070.0063017.02336.01.0
a[1]-0.3260.422-0.9660.3840.0080.0073088.02596.01.0
phi1.0260.7940.0022.0400.0140.0102232.01312.01.0
theta3.0260.7942.0024.0400.0140.0102232.01312.01.0
da-0.1170.584-1.0500.8220.0110.0102961.02170.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "a[0] -0.444 0.401 -1.071 0.206 0.007 0.006 3017.0 \n", + "a[1] -0.326 0.422 -0.966 0.384 0.008 0.007 3088.0 \n", + "phi 1.026 0.794 0.002 2.040 0.014 0.010 2232.0 \n", + "theta 3.026 0.794 2.002 4.040 0.014 0.010 2232.0 \n", + "da -0.117 0.584 -1.050 0.822 0.011 0.010 2961.0 \n", + "\n", + " ess_tail r_hat \n", + "a[0] 2336.0 1.0 \n", + "a[1] 2596.0 1.0 \n", + "phi 1312.0 1.0 \n", + "theta 1312.0 1.0 \n", + "da 2170.0 1.0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_12_1, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "13118425", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n"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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_12_1, combined=True, figsize=(17, 5), hdi_prob=0.89)\n", + "az.plot_forest(model_12_1, var_names=['a'], combined=True, figsize=(17, 3), hdi_prob=0.89, transform=inv_logit)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7d9705b1", + "metadata": {}, + "source": [ + "### R Code 12.4" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0899ff25", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gid = 2 # female\n", + "\n", + "p = inv_logit(model_12_1.posterior.a.sel(gender=1))\n", + "theta = model_12_1.posterior.theta\n", + "\n", + "# Plot beta distribution posterior\n", + "\n", + "alpha = p * theta # Alpha = p * theta\n", + "beta = (1 - p) * theta # beta = (1-p) * theta\n", + "\n", + "plt.figure(figsize=(18, 7))\n", + "\n", + "for i in range(50):\n", + " plt.plot(x, stats.beta.pdf(x, alpha.values.flatten()[i], beta.values.flatten()[i]), c='blue', alpha=0.4)\n", + "\n", + "plt.plot(x, stats.beta.pdf(x, alpha.values.mean(), beta.values.mean()), c='black', lw=2)\n", + "\n", + "plt.ylim(0, 3)\n", + "\n", + "plt.title(f'Distribution of female admisson rates')\n", + "plt.ylabel('Density')\n", + "plt.xlabel('Probability admit')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ec84e4a2", + "metadata": {}, + "source": [ + "### R Code 12.5" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "cd018e0f", + "metadata": {}, + "outputs": [], + "source": [ + "p_m = inv_logit(model_12_1.posterior.a.sel(gender=0).values.flatten()) # Male\n", + "p_f = inv_logit(model_12_1.posterior.a.sel(gender=1).values.flatten()) # Female\n", + "\n", + "theta = model_12_1.posterior.theta.values.flatten()\n", + "\n", + "# Calculation of alpha and beta to Beta distribution\n", + "alpha_m = p_m*theta\n", + "beta_m = (1 - p_m)*theta\n", + "\n", + "alpha_f = p_f*theta\n", + "beta_f = (1 - p_f)*theta\n", + "\n", + "p_bar_m = np.random.beta(alpha_m, beta_m)\n", + "p_bar_f = np.random.beta(alpha_f, beta_f)\n", + "\n", + "hdi_m = az.hdi(p_bar_m)\n", + "hdi_f = az.hdi(p_bar_f)\n", + "\n", + "mean_m = np.mean(p_bar_m)\n", + "mean_f = np.mean(p_bar_f)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e2ea0a09", + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(10, 2):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "f07fb3bd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "for i in range(1, len(df), 2):\n", + " # Male\n", + " plt.plot([i, i], [mean_m - np.std(p_bar_m), np.std(p_bar_m) + mean_m ], c='blue', alpha=0.1)\n", + " plt.plot(i, hdi_m[0], '+', c='k')\n", + " plt.plot(i, hdi_m[1], '+', c='k')\n", + " \n", + " i = i + 1\n", + " \n", + " # Female\n", + " plt.plot([i, i], [mean_f - np.std(p_bar_f), np.std(p_bar_f) + mean_f ], c='blue', alpha=0.1)\n", + " plt.plot(i, hdi_f[0], '+', c='k')\n", + " plt.plot(i, hdi_f[1], '+', c='k')\n", + "\n", + "plt.scatter(range(1, len(df)+1), df.admit.values/df.applications.values, s=50, zorder=13)\n", + "plt.scatter(range(1, len(df)+1), [ mean_m if i == 1 else mean_f for i in df.gid ], facecolors='none', edgecolors='black', s=50, zorder=13)\n", + "\n", + "plt.title('Posterior validation check')\n", + "plt.xlabel('case')\n", + "plt.ylabel('A')\n", + "\n", + "plt.ylim(-0.1, 1)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6e02b90a", + "metadata": {}, + "source": [ + "### 12.1.2 Negative-binomial or Gamma-Poisson" + ] + }, + { + "cell_type": "markdown", + "id": "3f769a3f", + "metadata": {}, + "source": [ + "$$ y_i \\sim GammaPoisson(\\lambda_i, \\phi) $$\n", + "\n", + "- The $\\lambda$ parameter can be treated like the rate of an ordinary Poisson.\n", + "- The $\\phi$ parameter must be positive and controls the variance.\n", + "- The variance of the Gamma-Poisson is $\\lambda + \\lambda^2 \\over \\phi$.\n", + "- The larges $\\phi$ values mean is similar to a pure Poisson process. " + ] + }, + { + "cell_type": "markdown", + "id": "00777070", + "metadata": {}, + "source": [ + "### R Code 12.6 - TODO" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7f81e99f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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culturepopulationcontacttotal_toolsmean_TUPcontact_id
0Malekula1100low133.2-1.3613321
1Tikopia1500low224.7-1.1474331
2Santa Cruz3600low244.0-0.5436641
3Yap4791high435.0-0.3465582
4Lau Fiji7400high335.0-0.0467372
5Trobriand8000high194.00.0070292
6Chuuk9200high403.80.1034162
7Manus13000low286.60.3418611
8Tonga17500high555.40.5468612
9Hawaii275000low716.62.4465581
\n", + "
" + ], + "text/plain": [ + " culture population contact total_tools mean_TU P contact_id\n", + "0 Malekula 1100 low 13 3.2 -1.361332 1\n", + "1 Tikopia 1500 low 22 4.7 -1.147433 1\n", + "2 Santa Cruz 3600 low 24 4.0 -0.543664 1\n", + "3 Yap 4791 high 43 5.0 -0.346558 2\n", + "4 Lau Fiji 7400 high 33 5.0 -0.046737 2\n", + "5 Trobriand 8000 high 19 4.0 0.007029 2\n", + "6 Chuuk 9200 high 40 3.8 0.103416 2\n", + "7 Manus 13000 low 28 6.6 0.341861 1\n", + "8 Tonga 17500 high 55 5.4 0.546861 2\n", + "9 Hawaii 275000 low 71 6.6 2.446558 1" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/Kline.csv', sep=';')\n", + "df['P'] = ( np.log(df.population) - np.mean(np.log(df.population)) ) / np.std(np.log(df.population))\n", + "df['contact_id'] = [2 if contact_i == 'high' else 1 for contact_i in df.contact ]\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "7b886273", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_contact;\n", + " array[N] int total_tools;\n", + " array[N] int population;\n", + " array[N] int contact_id;\n", + " }\n", + " \n", + " parameters {\n", + " array real[qty_contact] a;\n", + " array real[qty_contact] b;\n", + " }\n", + " \n", + " model {\n", + " vector[N] lambda;\n", + " real phi;\n", + " \n", + " phi ~ exponential(1);\n", + " \n", + " total_tools ~ neg_binomial(alpha, beta);\n", + " }\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "0378b9ce", + "metadata": {}, + "source": [ + "## 12.2 Zero-Inflated outcomes" + ] + }, + { + "cell_type": "markdown", + "id": "f7cce330", + "metadata": {}, + "source": [ + "### 12.2.1 Example: Zero-inflated Poisson" + ] + }, + { + "cell_type": "markdown", + "id": "5b138f26", + "metadata": {}, + "source": [ + "Coin flip, with probability $p$ that show \"cask of wine\" on one side and a quill on the other. \n", + "\n", + "- When monks is drinks, then none manuscript was be complete. \n", + "- When hes are working, the manuscript are complete like the Poisson distribution on the average rate $\\lambda$. \n", + "\n", + "The likelihood of a zero value $y$ is:\n", + "\n", + "$$ Pr\\{0 | p, \\lambda \\} = Pr\\{drink|p\\} + Pr\\{work|p\\} \\times Pr\\{0|\\lambda\\} $$\n", + "$$ = p + (1 + p) (\\frac{\\lambda^0 exp(-\\lambda)}{0!}) $$\n", + "$$ = p + (1 + p) exp(-\\lambda) $$\n", + "\n", + "In above is just a math form to:\n", + "\n", + "> The probability of observing a zero is the probability that the monks did drink OR ($+$) the probability that the monks worked AND ($\\times$) failed to finish anything.\n", + "\n", + "And the likelihood of a non-zero value $y$ is:\n", + "\n", + "$$ Pr\\{y | y > 0, p, \\lambda \\} = Pr\\{dink | p \\}(0) + Pr\\{work | p\\} \\times Pr\\{y | \\lambda\\} = (1-p) \\frac{\\lambda ^y exp(-y)}{y!} $$\n", + "\n", + "> The probability that monks working, $1-p$, and finish $y$ manuscripts. Since the drinking monks, $p$, never finish any manuscript.\n", + "\n", + "The ZIPoisson, with parameters $p$ (probability of a zeros) and $\\lambda$ (rate mean of Poisson) to describe the shape. \n", + "\n", + "The zero-inflated Poisson regression is that form:\n", + "\n", + "$$ y_i \\sim ZIPoisson(p_i, \\lambda_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_p + \\beta_p x_i $$\n", + "\n", + "$$ log(\\lambda_i) = \\alpha_\\lambda + \\beta_\\lambda x_i $$" + ] + }, + { + "cell_type": "markdown", + "id": "d1f64a2c", + "metadata": {}, + "source": [ + "### R Code 12.7 " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a5110290", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Drink day == 1\n", + "[0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0\n", + " 0 1 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 0 1 0\n", + " 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0\n", + " 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0\n", + " 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0\n", + " 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0\n", + " 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0\n", + " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 1 1 1 0]\n", + "\n", + " Work day\n", + "[1 2 0 0 0 0 0 1 1 1 0 0 0 3 4 0 1 1 0 0 2 1 0 1 2 2 1 0 0 1 1 2 0 3 0 2 0\n", + " 2 1 0 2 0 1 0 1 1 1 3 1 2 2 1 1 1 0 2 0 1 1 0 1 1 0 1 0 0 0 1 2 0 0 0 0 1\n", + " 0 0 0 0 1 0 1 0 0 0 0 0 0 0 3 0 0 0 3 0 1 0 1 1 0 1 0 1 0 0 2 1 0 0 1 0 3\n", + " 0 0 0 2 4 1 0 0 2 1 0 1 0 2 2 1 0 0 0 1 1 0 2 0 0 2 0 0 0 1 0 1 0 1 2 1 0\n", + " 1 1 2 1 0 2 1 0 1 1 2 2 1 0 2 0 1 0 0 0 1 0 2 0 1 1 1 2 1 0 0 2 2 0 2 0 1\n", + " 1 0 0 2 1 1 1 2 0 0 1 0 0 0 0 0 1 1 1 0 1 1 0 3 3 0 0 1 0 1 1 2 0 0 2 0 1\n", + " 4 0 3 1 0 1 0 0 0 0 2 0 1 0 1 1 0 1 0 1 0 0 0 1 2 3 0 0 0 3 4 0 1 0 1 0 0\n", + " 4 0 0 1 4 1 1 0 1 1 1 1 1 0 3 2 0 3 1 2 2 2 2 0 0 1 0 0 0 2 3 2 1 1 0 1 0\n", + " 0 0 1 0 0 2 0 1 1 0 2 2 2 2 0 0 0 0 1 0 1 0 1 1 0 0 1 0 3 2 2 0 0 1 0 0 0\n", + " 1 1 0 2 2 0 1 1 1 1 0 0 0 0 0 0 1 0 0 1 1 0 1 1 1 0 0 0 0 0 0 1]\n" + ] + } + ], + "source": [ + "prob_drink = 0.2 # 20% of days\n", + "rate_work = 1 # average 1 manuscript per day\n", + "\n", + "# Samples one year of production\n", + "N = 365\n", + "\n", + "# Simulate days monks drink\n", + "drink = np.random.binomial(n=1, p=prob_drink, size=N)\n", + "print('Drink day == 1')\n", + "print(drink)\n", + "\n", + "# Simulate manuscript completed\n", + "y = (1 - drink) * np.random.poisson(lam=rate_work, size=N)\n", + "print('\\n Work day')\n", + "print(y)" + ] + }, + { + "cell_type": "markdown", + "id": "3c72eda2", + "metadata": {}, + "source": [ + "### R Code 12.8" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "79fea98c", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "zeros_drink = np.sum(drink)\n", + "zeros_work = np.sum((y == 0) * (drink == 0)) # and\n", + "zeros_total = np.sum( y==0 )\n", + "\n", + "plt.bar(0, zeros_total, color='black', alpha=0.5, label='From Drinks')\n", + "plt.bar(0, zeros_work, color='blue', label='From Works (Poisson)')\n", + "\n", + "for i in range(1, max(y)):\n", + " plt.bar(i, np.sum(y == i), color='blue')\n", + "\n", + "plt.xlim(-1, max(y))\n", + "\n", + "plt.title('Zero Inflated Poisson \\n Monks drinks and work')\n", + "plt.xlabel('Manuscript Completed')\n", + "plt.ylabel('Frequency')\n", + "\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bb5d30b3", + "metadata": {}, + "source": [ + "### R Code 12.9" + ] + }, + { + "cell_type": "markdown", + "id": "c94ad098", + "metadata": {}, + "source": [ + "The zero-inflated Poisson model:\n", + "\n", + "$$ y_i \\sim ZIPoisson(p_i, \\lambda_i) $$\n", + "\n", + "$$ logit(p_i) = a_p $$\n", + "\n", + "$$ log(\\lambda_i) = a_\\lambda $$\n", + "\n", + "$$ a_p \\sim normal(-1.5, 1) $$\n", + "\n", + "$$ a_l \\sim normal(1, 0.5) $$\n", + "\n", + "##### Zero Inflation\n", + "\n", + "Consider the following example for zero-inflated Poisson distributions. \n", + "\n", + "- There is a probability $\\theta$ of observing a zero, and \n", + "- a probability $1 - \\theta$ of observing a count with a $Poisson(\\lambda)$ distribution \n", + "\n", + "(now $\\theta$ is being used for mixing proportions because $\\lambda$ is the traditional notation for a Poisson mean parameter). Given the probability $\\theta$ and the intensity $\\lambda$, the distribution for $y_n$ can be written as:\n", + "\n", + "$$\n", + "y_n \\sim \n", + "\\begin{cases}\n", + " 0 & \\quad\\text{with probability } \\theta, \\text{ and}\\\\\n", + " \\textsf{Poisson}(y_n \\mid \\lambda) & \\quad\\text{with probability } 1-\\theta.\n", + "\\end{cases}\n", + "$$\n", + "\n", + "Stan does not support conditional sampling statements (with $\\sim$) conditional on some parameter, and we need to consider the corresponding likelihood:\n", + "\n", + "$$\n", + "p(y_n \\mid \\theta,\\lambda)\n", + "=\n", + "\\begin{cases}\n", + "\\theta + (1 - \\theta) \\times \\textsf{Poisson}(0 \\mid \\lambda) & \\quad\\text{if } y_n = 0, \\text{ and}\\\\\n", + "(1-\\theta) \\times \\textsf{Poisson}(y_n \\mid \\lambda) &\\quad\\text{if } y_n > 0.\n", + "\\end{cases}\n", + "$$\n", + "\n", + "The log likelihood can be implemented directly in Stan (with `target +=`) as follows.\n", + "\n", + "\n", + "The mixture can be implemented as:\n", + "\n", + "```{stanc3}\n", + "for (n in 1:N) {\n", + " target += log_mix(lambda,\n", + " normal_lpdf(y[n] | mu[1], sigma[1]),\n", + " normal_lpdf(y[n] | mu[2], sigma[2])) \n", + "};\n", + "```\n", + "\n", + "or equivalently,\n", + "\n", + "```{stanc3}\n", + "for (n in 1:N) {\n", + " target += log_sum_exp(log(lambda)\n", + " + normal_lpdf(y[n] | mu[1], sigma[1]),\n", + " log1m(lambda)\n", + " + normal_lpdf(y[n] | mu[2], sigma[2]));\n", + "```\n", + "\n", + "This definition assumes that each observation $y_n$ may have arisen from either of the mixture components. The density is:\n", + "\n", + "$$ \n", + "p\\left(y \\mid \\lambda, \\mu, \\sigma\\right)\n", + "= \\prod_{n=1}^N \\big(\\lambda \\times \\textsf{normal}\\left(y_n \\mid \\mu_1, \\sigma_1 \\right)\n", + " + (1 - \\lambda) \\times \\textsf{normal}\\left(y_n \\mid \\mu_2, \\sigma_2 \\right)\\big)\n", + "$$\n", + "\n", + "\n", + "----\n", + "\n", + "`real log_mix(real theta, real lp1, real lp2)`\n", + "\n", + "Return the log mixture of the log densities $lp1$ and $lp2$ with mixing proportion theta, defined by:\n", + "\n", + "$$\n", + "\\begin{eqnarray*}\n", + "\\mathrm{log\\_mix}(\\theta, \\lambda_1, \\lambda_2) & = & \\log \\!\\left(\n", + "\\theta \\exp(\\lambda_1) + \\left( 1 - \\theta \\right) \\exp(\\lambda_2)\n", + "\\right) \\\\[3pt] & = & \\mathrm{log\\_sum\\_exp}\\!\\left(\\log(\\theta) +\n", + "\\lambda_1, \\ \\log(1 - \\theta) + \\lambda_2\\right). \\end{eqnarray*}\n", + "$$\n", + "\n", + "ref: [Stan Docs](https://mc-stan.org/docs/functions-reference/composed-functions.html)\n", + "\n", + "----\n", + "\n", + "- In example below, used this:\n", + "\n", + "$$ \\theta == p $$\n", + "\n", + "Refs:\n", + "- [Zero-Inflated and hurdle model - (Stan Docs)](https://mc-stan.org/docs/stan-users-guide/zero-inflated.html)\n", + "- [Vectorizing Mixtures - (Stan Docs)](https://mc-stan.org/docs/stan-users-guide/vectorizing-mixtures.html)\n", + "- [Diane Lambert (papers bell labs)](http://plan9.bell-labs.co/who/dl.old/pub.html): Zero-Inflated Poisson Regression, With an Application to Defects in Manufacturing, Diane Lambert, Technometrics, 34 (1992), pp. 1-14." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "75dccb51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Prioris\n", + "ap = np.random.normal(-1.5, 1, 1000)\n", + "al = np.random.normal(1, 0.5, 1000)\n", + "\n", + "p = inv_logit(ap)\n", + "lam = np.exp(al)\n", + "\n", + "plt.figure(figsize=(17, 5))\n", + "plt.hist(p)\n", + "plt.title('Prior | p to Binomial')\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(17, 5))\n", + "plt.hist(lam)\n", + "plt.title('Prior | $\\lambda$ to Poisson')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "31ee913b", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 46% (3700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 66% (5300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000236 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 2.36 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000158 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.58 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000112 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000165 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.65 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] int y;\n", + " }\n", + " \n", + " parameters {\n", + " real al;\n", + " real ap;\n", + " }\n", + " \n", + " model {\n", + " real p;\n", + " real lambda;\n", + " \n", + " // Prior\n", + " ap ~ normal(-1.5, 1);\n", + " al ~ normal(1, 0.5);\n", + " \n", + " // Link functions\n", + " p = inv_logit(ap);\n", + " lambda = exp(al);\n", + " \n", + " // Likelihood\n", + " for (i in 1:N){\n", + " if (y[i] == 0) target += log_mix(p, 0, poisson_lpmf(0 | lambda));\n", + " if (y[i] > 0) target += log1m(p) + poisson_lpmf(y[i] | lambda);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': len(y),\n", + " 'y': y,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "32644518", + "metadata": {}, + "outputs": [], + "source": [ + "model_12_3 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=['y']\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d1589915", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ap-1.9830.526-2.791-1.2080.0140.0101495.01810.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "al -0.070 0.081 -0.194 0.060 0.002 0.002 1431.0 1763.0 \n", + "ap -1.983 0.526 -2.791 -1.208 0.014 0.010 1495.0 1810.0 \n", + "\n", + " r_hat \n", + "al 1.0 \n", + "ap 1.0 " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_12_3, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "3a3b0454", + "metadata": {}, + "source": [ + "### R Code 12.10" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "2e157829", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Results: \n", + " - p estimated: 0.13 \t\t p original: 0.2\n", + " - lambda estimated: 0.94 \t estimated original: 1\n" + ] + } + ], + "source": [ + "print('Results: ')\n", + "print(' - p estimated: ', np.round(np.mean(inv_logit(model_12_3.posterior.ap.values.flatten())), 2), ' \\t\\t p original: ', prob_drink)\n", + "print(' - lambda estimated: ', np.round(np.mean(np.exp(model_12_3.posterior.al.values.flatten())), 2), ' \\t estimated original: ', rate_work)" + ] + }, + { + "cell_type": "markdown", + "id": "14fa24aa", + "metadata": {}, + "source": [ + "### R Code 12.11" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "5290fcf4", + "metadata": {}, + "outputs": [], + "source": [ + "# This code is the same code that R Code 12.09\n", + "# In this book is stan version" + ] + }, + { + "cell_type": "markdown", + "id": "51230501", + "metadata": {}, + "source": [ + "## 12.3 Ordered Categorical outcomes" + ] + }, + { + "cell_type": "markdown", + "id": "d6c00937", + "metadata": {}, + "source": [ + "### 12.3.2 Describing an ordered distribution with intercepts" + ] + }, + { + "cell_type": "markdown", + "id": "de23b567", + "metadata": {}, + "source": [ + "### R Code 12.12" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "15bf8993", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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caseresponseorderidagemaleeduactionintentioncontactstoryaction2
0cfaqu4296;434140Middle School001aqu1
1cfbur33196;434140Middle School001bur1
2cfrub41696;434140Middle School001rub1
3cibox33296;434140Middle School011box1
4cibur3496;434140Middle School011bur1
.......................................
9925ilpon32398;299661Graduate Degree010pon0
9926ilsha61598;299661Graduate Degree010sha0
9927ilshi7798;299661Graduate Degree010shi0
9928ilswi21898;299661Graduate Degree010swi0
9929nfrub21798;299661Graduate Degree100rub1
\n", + "

9930 rows × 12 columns

\n", + "
" + ], + "text/plain": [ + " case response order id age male edu action \\\n", + "0 cfaqu 4 2 96;434 14 0 Middle School 0 \n", + "1 cfbur 3 31 96;434 14 0 Middle School 0 \n", + "2 cfrub 4 16 96;434 14 0 Middle School 0 \n", + "3 cibox 3 32 96;434 14 0 Middle School 0 \n", + "4 cibur 3 4 96;434 14 0 Middle School 0 \n", + "... ... ... ... ... ... ... ... ... \n", + "9925 ilpon 3 23 98;299 66 1 Graduate Degree 0 \n", + "9926 ilsha 6 15 98;299 66 1 Graduate Degree 0 \n", + "9927 ilshi 7 7 98;299 66 1 Graduate Degree 0 \n", + "9928 ilswi 2 18 98;299 66 1 Graduate Degree 0 \n", + "9929 nfrub 2 17 98;299 66 1 Graduate Degree 1 \n", + "\n", + " intention contact story action2 \n", + "0 0 1 aqu 1 \n", + "1 0 1 bur 1 \n", + "2 0 1 rub 1 \n", + "3 1 1 box 1 \n", + "4 1 1 bur 1 \n", + "... ... ... ... ... \n", + "9925 1 0 pon 0 \n", + "9926 1 0 sha 0 \n", + "9927 1 0 shi 0 \n", + "9928 1 0 swi 0 \n", + "9929 0 0 rub 1 \n", + "\n", + "[9930 rows x 12 columns]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/Trolley.csv', sep=';')\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "791854c6", + "metadata": {}, + "source": [ + "### R Code 12.13" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "cd82e785", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AANia5YzEn5mln5X7YJIPTMtb+/k4AAAAYI52OBI/zT7/mqo6qLu/vAI9AQAAAFuxw5H4qvqeqrotye3T+rOq6nfn3hkAAADwryzndvq3JXlJkn9Mku7+6yQvnGdTAAAAwOMtJ8Snu+/eovTYHHoBAAAAtmM5s9PfXVXfk6Sr6oAkr8l0az0AAACwcpYzEv8fk5yTZE2SjUmOm9YBAACAFbTdkfiq2i/Jb3X3T65QPwAAAMA2bHckvrsfS3JEVX3tCvUDAAAAbMNynom/I8mfV9UVSf7ld+K7+61z6woAAAB4nG2OxFfVH06LP5TkymnfJ8+8AAAAgBW0vZH4766qQ5P8XZLfXqF+AAAAgG3YXoj/vSTXJjkqyfqZeiXpJN86x74AAACALWwzxHf3+UnOr6oLuvtnVrCnfc5pl9616BYY1JUvP2LRLQAAACtoh78TL8ADAADAnmGHIR4AAADYMwjxAAAAMAghHgAAAAYhxAMAAMAghHgAAAAYhBAPAAAAgxDiAQAAYBBCPAAAAAxCiAcAAIBBCPEAAAAwCCEeAAAABiHEAwAAwCCEeAAAABiEEA8AAACDEOIBAABgEEI8AAAADEKIBwAAgEEI8QAAADAIIR4AAAAGIcQDAADAIPZfdAMALMZpl9616BYAAHiCjMQDAADAIIR4AAAAGIQQDwAAAIOYW4ivqour6v6qumWm9pSquqaqPju9r5rqVVXnV9WGqrqpqo6fOeasaf/PVtVZ8+oXAAAA9nTzHIl/R5KTt6idm+Ta7j46ybXTepKckuTo6bUuyQXJUuhPcl6S5yQ5Icl5m4M/AAAA7GvmFuK7++NJHtiifHqSS6blS5K8dKb+zl7yySQHV9XqJC9Jck13P9Ddm5Jck8f/YQAAAAD2CSv9TPwh3X3vtPz5JIdMy2uS3D2z3z1TbVv1x6mqdVW1vqrWb9q0afd2DQAAAHuAhU1s192dpHfj+S7s7rXdvXbVKnfcAwAAsPdZ6RB/33SbfKb3+6f6xiSHz+x32FTbVh0AAAD2OSsd4q9IsnmG+bOSfGim/spplvrnJnlwuu3+6iQnVdWqaUK7k6YaAAAA7HP2n9eJq+o9SV6U5KlVdU+WZpn/1SSXV9WrktyV5Men3a9KcmqSDUm+kuTsJOnuB6rqjUmum/Z7Q3dvOVkeAAAA7BPmFuK7+8xtbDpxK/t2knO2cZ6Lk1y8G1sDAACAIS1sYjsAAADgiRHiAQAAYBBCPAAAAAxCiAcAAIBBzG1iO2D+Trv0rkW3AAAArCAj8QAAADAIIR4AAAAGIcQDAADAIIR4AAAAGIQQDwAAAIMQ4gEAAGAQQjwAAAAMQogHAACAQQjxAAAAMAghHgAAAAYhxAMAAMAghHgAAAAYhBAPAAAAgxDiAQAAYBBCPAAAAAxCiAcAAIBBCPEAAAAwCCEeAAAABiHEAwAAwCCEeAAAABiEEA8AAACDEOIBAABgEEI8AAAADEKIBwAAgEEI8QAAADAIIR4AAAAGIcQDAADAIIR4AAAAGIQQDwAAAIMQ4gEAAGAQQjwAAAAMQogHAACAQQjxAAAAMAghHgAAAAYhxAMAAMAghHgAAAAYhBAPAAAAgxDiAQAAYBBCPAAAAAxCiAcAAIBBLCTEV9WdVXVzVd1YVeun2lOq6pqq+uz0vmqqV1WdX1Ubquqmqjp+ET0DAADAoi1yJP7fdfdx3b12Wj83ybXdfXSSa6f1JDklydHTa12SC1a8UwAAANgD7Em305+e5JJp+ZIkL52pv7OXfDLJwVW1egH9AQAAwEItKsR3ko9U1fVVtW6qHdLd907Ln09yyLS8JsndM8feM9X+lapaV1Xrq2r9pk2b5tU3AAAALMz+C7ruC7p7Y1V9S5JrqupvZjd2d1dVP5ETdveFSS5Mkmc+85lP6FgAAAAYwUJG4rt74/R+f5IPJjkhyX2bb5Of3u+fdt+Y5PCZww+bagAAALBPWfEQX1UHVdWTNy8nOSnJLUmuSHLWtNtZST40LV+R5JXTLPXPTfLgzG33AAAAsM9YxO30hyT5YFVtvv67u/tPquq6JJdX1auS3JXkx6f9r0pyapINSb6S5OyVbxkAAAAWb8VDfHffkeRZW6n/Y5ITt1LvJOesQGsAAACwR9uTfmIOAAAA2A4hHgAAAAYhxAMAAMAghHgAAAAYhBAPAAAAgxDiAQAAYBBCPAAAAAxCiAcAAIBBCPEAAAAwCCEeAAAABiHEAwAAwCCEeAAAABiEEA8AAACDEOIBAABgEEI8AAAADEKIBwAAgEEI8QAAADAIIR4AAAAGIcQDAADAIIR4AAAAGIQQDwAAAIMQ4gEAAGAQQjwAAAAMQogHAACAQQjxAAAAMAghHgAAAAYhxAMAAMAghHgAAAAYhBAPAAAAgxDiAQAAYBBCPAAAAAxCiAcAAIBBCPEAAAAwCCEeAAAABiHEAwAAwCCEeAAAABiEEA8AAACDEOIBAABgEEI8AAAADEKIBwAAgEEI8QAAADAIIR4AAAAGIcQDAADAIIR4AAAAGIQQDwAAAIMYJsRX1clV9Zmq2lBV5y66HwAAAFhpQ4T4qtovye8kOSXJMUnOrKpjFtsVAAAArKwhQnySE5Js6O47uvufklyW5PQF9wQAAAArav9FN7BMa5LcPbN+T5LnzO5QVeuSrJtWHz722GM/s0K97Q5PTfKFRTfBkHx32BW+P+wK3x92lu8Ou8L3h5127JuH+v4csa0No4T4HeruC5NcuOg+dkZVre/utYvug/H47rArfH/YFb4/7CzfHXaF7w+7Ym/5/oxyO/3GJIfPrB821QAAAGCfMUqIvy7J0VV1VFV9bZIzklyx4J4AAABgRQ1xO313P1pVr05ydZL9klzc3bcuuK3dacjHANgj+O6wK3x/2BW+P+ws3x12he8Pu2Kv+P5Udy+6BwAAAGAZRrmdHgAAAPZ5QjwAAAAMQohfoKq6uKrur6pbFt0LY6mqw6vqY1V1W1XdWlWvWXRPjKOqvq6qPl1Vfz19f3550T0xlqrar6r+qqquXHQvjKWq7qyqm6vqxqpav+h+GEtVHVxV76uqv6mq26vqeYvuiTFU1XdM/9/Z/Hqoql676L52lmfiF6iqXpjk4STv7O7vXHQ/jKOqVidZ3d03VNWTk1yf5KXdfduCW2MAVVVJDuruh6vqgCSfSPKa7v7kgltjEFX1c0nWJvnG7j5t0f0wjqq6M8na7v7ConthPFV1SZI/6+63T79Y9Q3d/cUFt8Vgqmq/LP1c+XO6+65F97MzjMQvUHd/PMkDi+6D8XT3vd19w7T8pSS3J1mz2K4YRS95eFo9YHr5iy7LUlWHJfmBJG9fdC/AvqOqvinJC5NclCTd/U8CPDvpxCR/O2qAT4R4GF5VHZnk2Uk+teBWGMh0O/SNSe5Pck13+/6wXL+Z5L8k+eqC+2BMneQjVXV9Va1bdDMM5agk/5DkD6bHed5eVQctuimGdEaS9yy6iV0hxMPAqupJSd6f5LXd/dCi+2Ec3f1Ydx+X5LAkJ1SVR3rYoao6Lcn93X39onthWC/o7uOTnJLknOnRQliO/ZMcn+SC7n52ki8nOXexLTGa6TGMH0ryR4vuZVcI8TCo6Vnm9yd5V3d/YNH9MKbpVsSPJTl5wa0whucn+aHpuebLknxfVV262JYYSXdvnN7vT/LBJCcstiMGck+Se2buHHtflkI9PBGnJLmhu+9bdCO7QoiHAU0Tk12U5Pbufuui+2EsVfW0qjp4Wv76JC9O8jcLbYohdPfruvuw7j4yS7cjfrS7X77gthhEVR00Tcaa6Tbok5L4hR6Wpbs/n+TuqvqOqXRiEhP68kSdmcFvpU+WbkthQarqPUlelOSpVXVPkvO6+6LFdsUgnp/kFUlunp5rTpJf7O6rFtcSA1md5JJpdtavSXJ5d/upMGDeDknywaW/Q2f/JO/u7j9ZbEsM5meTvGu6JfqOJGcvuB8GMv3x8MVJfnrRvewqPzEHAAAAg3A7PQAAAAxCiAcAAIBBCPEAAAAwCCEeAAAABiHEAwAAwCCEeAAAABiEEA8A+4ha4t9+ABiYf8gBYC9WVUdW1Weq6p1Jbkny36rquqq6qap+edrnoKr631X111V1S1W9bKrfWVW/VlU3V9Wnq+rbZ8750ekc11bVv5nq76iq86vqL6rqjqr60am+uqo+XlU3Tuf/3ql+UlX9ZVXdUFV/VFVPWsR/IwAYiRAPAHu/o5P8bpL/nGRNkhOSHJfku6vqhUlOTvL33f2s7v7OJH8yc+yD3X1skv+Z5Den2m8nuaS7vyvJu5KcP7P/6iQvSHJakl+daj+R5OruPi7Js5LcWFVPTfL6JN/f3ccnWZ/k53bjZwaAvZIQDwB7v7u6+5NJTppef5XkhiTPyFLAvznJi6vqzVX1vd394Myx75l5f960/Lwk756W/zBLoX2zP+7ur3b3bUkOmWrXJTm7qn4pybHd/aUkz01yTJI/r6obk5yV5Ijd9HkBYK+1/6IbAADm7svTeyX5H939v7bcoaqOT3Jqkl+pqmu7+w3Tpp7Zrbc8bisemT1tknT3x6cR/x9I8o6qemuSTUmu6e4zn9hHAYB9m5F4ANh3XJ3kpzY/e15Va6rqW6rq0CRf6e5Lk/x6kuNnjnnZzPtfTst/keSMafknk/zZ9i5aVUckua+7fz/J26fzfzLJ82eesz+oqp6+qx8QAPZ2RuIBYB/R3R+pqn+b5C+rKkkeTvLyJN+e5Ner6qtJ/jnJz8wctqqqbsrSCPvmUfOfTfIHVfULSf4hydk7uPSLkvxCVf3zdM1Xdvc/VNW/T/Keqjpw2u/1Sf7Prn1KANi7Vfdy7owDAPY1VXVnkrXd/YVF9wIALHE7PQAAAAzCSDwAAAAMwkg8AAAADEKIBwAAgEEI8QAAADAIIR4AAAAGIcQDAADAIP4fLTItPuXidCMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "plt.hist(df.response, bins=list(np.sort(df.response.unique())) )\n", + "plt.xlabel('response')\n", + "plt.ylabel('frequency')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e89cdb62", + "metadata": {}, + "source": [ + "### R Code 12.14" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "f5a7e1a0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "cum_pr_k = df.response.sort_values().value_counts(normalize=True, sort=False).cumsum()\n", + "\n", + "plt.figure(figsize=(17, 6))\n", + "plt.plot(cum_pr_k, marker='o')\n", + "plt.xlabel('response')\n", + "plt.ylabel('cumulative proportional')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bf352451", + "metadata": {}, + "source": [ + "### R Code 12.15" + ] + }, + { + "cell_type": "markdown", + "id": "0b1442d3", + "metadata": {}, + "source": [ + "Where the $\\alpha_k$ is a \"intercept\" to all values of $k$.\n", + "\n", + "$$ log \\frac{Pr(y_i \\leq k)}{1 - Pr(y_i \\leq k)} = \\alpha_k $$\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "0eb067f2", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_32026/1412855160.py:4: RuntimeWarning: invalid value encountered in log\n", + " return np.log(p) - np.log(1 - p)\n" + ] + }, + { + "data": { + "text/plain": [ + "array([-1.92, -1.27, -0.72, 0.25, 0.89, 1.77, nan])" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lco = [logit(cum_pr_k_i) for cum_pr_k_i in cum_pr_k ]\n", + "np.round(lco, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "8efe0485", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "plt.plot(lco[:-1], marker='o')\n", + "plt.xlabel('response')\n", + "plt.ylabel('log-cumulative-odds')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "17c0bc9f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.13, 0.22, 0.33, 0.56, 0.71, 0.85, nan])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.round([ inv_logit(l) for l in lco ], 2)" + ] + }, + { + "cell_type": "markdown", + "id": "544b34dc", + "metadata": {}, + "source": [ + "### RCode 12.16" + ] + }, + { + "cell_type": "markdown", + "id": "82326aff", + "metadata": {}, + "source": [ + "#### 1.8 Ordered logistic and probit regression (Stan Docs)\n", + "\n", + "Ref: [Stan - Docs](https://mc-stan.org/docs/stan-users-guide/ordered-logistic.html#)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "65424535", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (2/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (3/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (4/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (103/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (202/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", + 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"\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 94% (7500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 95% (7600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 96% (7700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 98% (7800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 99% (7900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.005956 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 59.56 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -2980.48, but should be greater than the previous element, -2980.48 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -2978.45, but should be greater than the previous element, -2978.45 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -744.599, but should be greater than the previous element, -744.599 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -187.2, but should be greater than the previous element, -187.2 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -47.4611, but should be greater than the previous element, -47.4611 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is inf, but should be greater than the previous element, inf (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is inf, but should be greater than the previous element, inf (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Gradient evaluation took 0.005615 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 56.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -3642.76, but should be greater than the previous element, -3642.76 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -3641.81, but should be greater than the previous element, -3641.81 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -910.6, but should be greater than the previous element, -910.6 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -228.307, but should be greater than the previous element, -228.307 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -57.5126, but should be greater than the previous element, -57.5126 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -14.7763, but should be greater than the previous element, -14.7763 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -613874, but should be greater than the previous element, -613874 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -17530.7, but should be greater than the previous element, -17530.7 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -171.24, but should be greater than the previous element, -171.24 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.006048 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 60.48 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is 2.96046e+74, but should be greater than the previous element, 2.96046e+74 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is 6.84237e+74, but should be greater than the previous element, 6.84237e+74 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is 5.05688e+17, but should be greater than the previous element, 5.05688e+17 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is 5890.96, but should be greater than the previous element, 5890.96 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 4 is -17.7224, but should be greater than the previous element, -17.7224 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 4 is -6.06609, but should be greater than the previous element, -6.06609 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is inf, but should be greater than the previous element, inf (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is inf, but should be greater than the previous element, inf (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 4 is 776180, but should be greater than the previous element, 776180 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.010043 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 100.43 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -3973.62, but should be greater than the previous element, -3973.62 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -3971.84, but should be greater than the previous element, -3971.84 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -991.432, but should be greater than the previous element, -991.432 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -247.162, but should be greater than the previous element, -247.162 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 3 is -60.6938, but should be greater than the previous element, -60.6938 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -560927, but should be greater than the previous element, -560927 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 2 is -16022.9, but should be greater than the previous element, -16022.9 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: ordered_logistic: Cut-points is not a valid ordered vector. The element at 5 is 8.52805e+17, but should be greater than the previous element, 8.52805e+17 (in '/tmp/httpstan_db81bn5f/model_lvsckqb6.stan', line 16, column 12 to column 57)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int K;\n", + " array[N] int response;\n", + " }\n", + " \n", + " parameters {\n", + " ordered[K - 1] cutpoints;\n", + " }\n", + " \n", + " model {\n", + " cutpoints ~ normal(0, 1.5);\n", + " \n", + " for (i in 1:N){\n", + " response[i] ~ ordered_logistic(0, cutpoints);\n", + " }\n", + " \n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': len(df),\n", + " 'K': len(df.response.unique()),\n", + " 'response': list(df.response.values),\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "d6a249be", + "metadata": {}, + "outputs": [], + "source": [ + "model_12_4 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=list(dat_list.keys()),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "d5036615", + "metadata": {}, + "source": [ + "### R Code 12.17" + ] + }, + { + "cell_type": "markdown", + "id": "a9c560e7", + "metadata": {}, + "source": [ + "This code used `quap` intead of `ulam` and demonstre differences between." + ] + }, + { + "cell_type": "markdown", + "id": "367531cf", + "metadata": {}, + "source": [ + "### R Code 12.18" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "2010bb96", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
cutpoints[0]-1.9180.030-1.966-1.8710.0010.02717.02869.01.0
cutpoints[1]-1.2670.024-1.305-1.2280.0000.03613.03488.01.0
cutpoints[2]-0.7190.021-0.750-0.6820.0000.04018.03520.01.0
cutpoints[3]0.2470.0200.2160.2790.0000.04369.03136.01.0
cutpoints[4]0.8900.0220.8540.9250.0000.04106.03244.01.0
cutpoints[5]1.7700.0291.7241.8160.0000.04670.03467.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "cutpoints[0] -1.918 0.030 -1.966 -1.871 0.001 0.0 2717.0 \n", + "cutpoints[1] -1.267 0.024 -1.305 -1.228 0.000 0.0 3613.0 \n", + "cutpoints[2] -0.719 0.021 -0.750 -0.682 0.000 0.0 4018.0 \n", + "cutpoints[3] 0.247 0.020 0.216 0.279 0.000 0.0 4369.0 \n", + "cutpoints[4] 0.890 0.022 0.854 0.925 0.000 0.0 4106.0 \n", + "cutpoints[5] 1.770 0.029 1.724 1.816 0.000 0.0 4670.0 \n", + "\n", + " ess_tail r_hat \n", + "cutpoints[0] 2869.0 1.0 \n", + "cutpoints[1] 3488.0 1.0 \n", + "cutpoints[2] 3520.0 1.0 \n", + "cutpoints[3] 3136.0 1.0 \n", + "cutpoints[4] 3244.0 1.0 \n", + "cutpoints[5] 3467.0 1.0 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_12_4, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "540889e0", + "metadata": {}, + "source": [ + "### R Code 12.19" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "de943a1a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
cutpoints[0]0.1280.0030.1230.1330.00.02717.02869.01.0
cutpoints[1]0.2200.0040.2130.2260.00.03613.03488.01.0
cutpoints[2]0.3280.0050.3210.3360.00.04018.03520.01.0
cutpoints[3]0.5620.0050.5540.5690.00.04369.03136.01.0
cutpoints[4]0.7090.0050.7010.7160.00.04106.03244.01.0
cutpoints[5]0.8540.0040.8490.8600.00.04670.03467.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "cutpoints[0] 0.128 0.003 0.123 0.133 0.0 0.0 2717.0 \n", + "cutpoints[1] 0.220 0.004 0.213 0.226 0.0 0.0 3613.0 \n", + "cutpoints[2] 0.328 0.005 0.321 0.336 0.0 0.0 4018.0 \n", + "cutpoints[3] 0.562 0.005 0.554 0.569 0.0 0.0 4369.0 \n", + "cutpoints[4] 0.709 0.005 0.701 0.716 0.0 0.0 4106.0 \n", + "cutpoints[5] 0.854 0.004 0.849 0.860 0.0 0.0 4670.0 \n", + "\n", + " ess_tail r_hat \n", + "cutpoints[0] 2869.0 1.0 \n", + "cutpoints[1] 3488.0 1.0 \n", + "cutpoints[2] 3520.0 1.0 \n", + "cutpoints[3] 3136.0 1.0 \n", + "cutpoints[4] 3244.0 1.0 \n", + "cutpoints[5] 3467.0 1.0 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(inv_logit(model_12_4.posterior.cutpoints), hdi_prob=0.89)" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_13.ipynb b/_sources/parte_13.ipynb new file mode 100644 index 0000000..0050c7c --- /dev/null +++ b/_sources/parte_13.ipynb @@ -0,0 +1,5684 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e9bf0146", + "metadata": {}, + "source": [ + "# 13 - Modelos com Memória" + ] + }, + { + "cell_type": "markdown", + "id": "16ed1f97", + "metadata": {}, + "source": [ + "## Imports, loadings and functions" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "39e7ebea", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "# from causalgraphicalmodels import CausalGraphicalModel # Just work in < python3.9 " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7a78c92f", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "57b999a1", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8781d488", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bbe1f6a8", + "metadata": {}, + "outputs": [], + "source": [ + "# Utils functions\n", + "\n", + "def logit(p):\n", + " return np.log(p) - np.log(1 - p)\n", + "\n", + "def inv_logit(p):\n", + " return np.exp(p) / (1 + np.exp(p))" + ] + }, + { + "cell_type": "markdown", + "id": "ab28e2ba", + "metadata": {}, + "source": [ + "## 13.1 Example: Multilevel tadpoles" + ] + }, + { + "cell_type": "markdown", + "id": "e0f4702d", + "metadata": {}, + "source": [ + "### R Code 13.1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2966b0de", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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densitypredsizesurvpropsurvtank
010nobig90.9000001
110nobig101.0000002
210nobig70.7000003
310nobig101.0000004
410nosmall90.9000005
510nosmall90.9000006
610nosmall101.0000007
710nosmall90.9000008
810predbig40.4000009
910predbig90.90000010
1010predbig70.70000011
1110predbig60.60000012
1210predsmall70.70000013
1310predsmall50.50000014
1410predsmall90.90000015
1510predsmall90.90000016
1625nobig240.96000017
1725nobig230.92000018
1825nobig220.88000019
1925nobig251.00000020
2025nosmall230.92000021
2125nosmall230.92000022
2225nosmall230.92000023
2325nosmall210.84000024
2425predbig60.24000025
2525predbig130.52000026
2625predbig40.16000027
2725predbig90.36000028
2825predsmall130.52000029
2925predsmall200.80000030
3025predsmall80.32000031
3125predsmall100.40000032
3235nobig340.97142933
3335nobig330.94285734
3435nobig330.94285735
3535nobig310.88571436
3635nosmall310.88571437
3735nosmall351.00000038
3835nosmall330.94285739
3935nosmall320.91428640
4035predbig40.11428641
4135predbig120.34285742
4235predbig130.37142943
4335predbig140.40000044
4435predsmall220.62857145
4535predsmall120.34285746
4635predsmall310.88571447
4735predsmall170.48571448
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" + ], + "text/plain": [ + " density pred size surv propsurv tank\n", + "0 10 no big 9 0.900000 1\n", + "1 10 no big 10 1.000000 2\n", + "2 10 no big 7 0.700000 3\n", + "3 10 no big 10 1.000000 4\n", + "4 10 no small 9 0.900000 5\n", + "5 10 no small 9 0.900000 6\n", + "6 10 no small 10 1.000000 7\n", + "7 10 no small 9 0.900000 8\n", + "8 10 pred big 4 0.400000 9\n", + "9 10 pred big 9 0.900000 10\n", + "10 10 pred big 7 0.700000 11\n", + "11 10 pred big 6 0.600000 12\n", + "12 10 pred small 7 0.700000 13\n", + "13 10 pred small 5 0.500000 14\n", + "14 10 pred small 9 0.900000 15\n", + "15 10 pred small 9 0.900000 16\n", + "16 25 no big 24 0.960000 17\n", + "17 25 no big 23 0.920000 18\n", + "18 25 no big 22 0.880000 19\n", + "19 25 no big 25 1.000000 20\n", + "20 25 no small 23 0.920000 21\n", + "21 25 no small 23 0.920000 22\n", + "22 25 no small 23 0.920000 23\n", + "23 25 no small 21 0.840000 24\n", + "24 25 pred big 6 0.240000 25\n", + "25 25 pred big 13 0.520000 26\n", + "26 25 pred big 4 0.160000 27\n", + "27 25 pred big 9 0.360000 28\n", + "28 25 pred small 13 0.520000 29\n", + "29 25 pred small 20 0.800000 30\n", + "30 25 pred small 8 0.320000 31\n", + "31 25 pred small 10 0.400000 32\n", + "32 35 no big 34 0.971429 33\n", + "33 35 no big 33 0.942857 34\n", + "34 35 no big 33 0.942857 35\n", + "35 35 no big 31 0.885714 36\n", + "36 35 no small 31 0.885714 37\n", + "37 35 no small 35 1.000000 38\n", + "38 35 no small 33 0.942857 39\n", + "39 35 no small 32 0.914286 40\n", + "40 35 pred big 4 0.114286 41\n", + "41 35 pred big 12 0.342857 42\n", + "42 35 pred big 13 0.371429 43\n", + "43 35 pred big 14 0.400000 44\n", + "44 35 pred small 22 0.628571 45\n", + "45 35 pred small 12 0.342857 46\n", + "46 35 pred small 31 0.885714 47\n", + "47 35 pred small 17 0.485714 48" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/reedfrogs.csv', sep=\";\")\n", + "df['tank'] = df.index.to_list()\n", + "df['tank'] += 1 # index start from 1 like Stan works\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a877a7e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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densitysurvpropsurvtank
count48.00000048.00000048.00000048.00
mean23.33333316.3125000.72160724.50
std10.3827469.8847750.26641614.00
min10.0000004.0000000.1142861.00
25%10.0000009.0000000.49642912.75
50%25.00000012.5000000.88571424.50
75%35.00000023.0000000.92000036.25
max35.00000035.0000001.00000048.00
\n", + "
" + ], + "text/plain": [ + " density surv propsurv tank\n", + "count 48.000000 48.000000 48.000000 48.00\n", + "mean 23.333333 16.312500 0.721607 24.50\n", + "std 10.382746 9.884775 0.266416 14.00\n", + "min 10.000000 4.000000 0.114286 1.00\n", + "25% 10.000000 9.000000 0.496429 12.75\n", + "50% 25.000000 12.500000 0.885714 24.50\n", + "75% 35.000000 23.000000 0.920000 36.25\n", + "max 35.000000 35.000000 1.000000 48.00" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "07571408", + "metadata": {}, + "source": [ + "### R Code 13.2" + ] + }, + { + "cell_type": "markdown", + "id": "13877b50", + "metadata": {}, + "source": [ + "$$ S_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{TANK[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(0, 1.5), \\mbox{ for } j \\in \\{1, 48\\}$$" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "6f4c2bd2", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int qty;\n", + " array[qty] int N; // Total quantities that have tadpoles in tank\n", + " array[qty] int survival; // How many tadpoles survival\n", + " array[qty] int tank; // Tank index\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty] alpha;\n", + " }\n", + " \n", + " model {\n", + " vector[qty] p;\n", + " \n", + " alpha ~ normal(0, 1.5);\n", + " \n", + " for (i in 1:qty){\n", + " p[i] = alpha[ tank[i] ];\n", + " p[i] = inv_logit(alpha[i]);\n", + " }\n", + " \n", + " survival ~ binomial(N, p);\n", + " \n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'qty': len(df),\n", + " 'tank': df['tank'].to_list(),\n", + " 'survival': df['surv'].to_list(),\n", + " 'N': df['density'].to_list()\n", + "}\n", + "\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b4d68a9d", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_1 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "5a9709aa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]1.6880.7690.4922.8930.0090.0087368.03077.01.0
alpha[1]2.4130.9021.0623.8790.0120.0106390.02800.01.0
alpha[2]0.7540.634-0.2871.7100.0080.0086016.02649.01.0
alpha[3]2.4160.9240.9413.7810.0120.0107037.02718.01.0
alpha[4]1.7230.7620.4802.9290.0110.0095394.03054.01.0
alpha[5]1.7080.7640.4572.8600.0100.0095989.02731.01.0
alpha[6]2.3720.8710.9723.7540.0110.0096244.03083.01.0
alpha[7]1.7140.7830.4902.9320.0110.0105967.02391.01.0
alpha[8]-0.3580.613-1.3360.5850.0070.0098826.02906.01.0
alpha[9]1.6990.7600.5302.9500.0100.0096172.02938.01.0
alpha[10]0.7670.672-0.2871.8370.0090.0095800.02373.01.0
alpha[11]0.3870.619-0.5461.4370.0080.0106318.02991.01.0
alpha[12]0.7530.633-0.2271.7600.0080.0085907.02663.01.0
alpha[13]0.0110.593-0.9200.9700.0070.0106565.03111.01.0
alpha[14]1.6950.7380.4242.7660.0100.0086344.03033.01.0
alpha[15]1.6970.7660.4912.9180.0100.0095959.02758.01.0
alpha[16]2.5350.6701.4513.5530.0090.0075782.02985.01.0
alpha[17]2.1500.6211.1553.1350.0080.0076126.02599.01.0
alpha[18]1.8030.5440.9502.6680.0070.0056310.02825.01.0
alpha[19]3.0990.8161.7664.2810.0110.0096216.02690.01.0
alpha[20]2.1320.6111.1012.9980.0090.0075912.02167.01.0
alpha[21]2.1320.5861.2553.0730.0080.0066331.02937.01.0
alpha[22]2.1420.6091.1493.0640.0080.0076008.02591.01.0
alpha[23]1.5420.4940.7162.2500.0060.0057678.02916.01.0
alpha[24]-1.0930.440-1.771-0.3930.0060.0056132.02669.01.0
alpha[25]0.0720.402-0.5240.7500.0050.0076809.03013.01.0
alpha[26]-1.5310.500-2.299-0.7380.0060.0056115.02686.01.0
alpha[27]-0.5560.407-1.2510.0330.0050.0056790.02361.01.0
alpha[28]0.0750.391-0.5360.6750.0050.0066386.03011.01.0
alpha[29]1.3100.4630.5712.0410.0060.0055811.02924.01.0
alpha[30]-0.7290.417-1.361-0.0320.0050.0056228.02635.01.0
alpha[31]-0.3950.404-1.0500.2280.0050.0055725.03194.01.0
alpha[32]2.8440.6561.7373.7950.0080.0076781.02880.01.0
alpha[33]2.4620.5601.5373.3140.0070.0067102.02540.01.0
alpha[34]2.4630.5721.4853.2660.0080.0065946.02926.01.0
alpha[35]1.9000.4801.1622.6730.0070.0055548.03011.01.0
alpha[36]1.9140.4911.1662.6950.0070.0056016.02410.01.0
alpha[37]3.3660.7882.0194.4790.0110.0086427.02749.01.0
alpha[38]2.4510.5821.5443.3340.0070.0067286.02587.01.0
alpha[39]2.1770.5421.3203.0090.0080.0065378.02796.01.0
alpha[40]-1.9070.470-2.663-1.1880.0060.0057052.03063.01.0
alpha[41]-0.6410.358-1.203-0.0660.0040.0046959.02868.01.0
alpha[42]-0.5050.343-1.0780.0260.0040.0045933.03170.01.0
alpha[43]-0.3880.334-0.8840.1740.0040.0046316.03112.01.0
alpha[44]0.5090.345-0.0711.0270.0040.0046490.02912.01.0
alpha[45]-0.6310.344-1.186-0.1000.0040.0046241.02375.01.0
alpha[46]1.9110.4871.0932.6260.0060.0055920.02817.01.0
alpha[47]-0.0610.339-0.5990.4840.0040.0056429.02808.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 1.688 0.769 0.492 2.893 0.009 0.008 7368.0 \n", + "alpha[1] 2.413 0.902 1.062 3.879 0.012 0.010 6390.0 \n", + "alpha[2] 0.754 0.634 -0.287 1.710 0.008 0.008 6016.0 \n", + "alpha[3] 2.416 0.924 0.941 3.781 0.012 0.010 7037.0 \n", + "alpha[4] 1.723 0.762 0.480 2.929 0.011 0.009 5394.0 \n", + "alpha[5] 1.708 0.764 0.457 2.860 0.010 0.009 5989.0 \n", + "alpha[6] 2.372 0.871 0.972 3.754 0.011 0.009 6244.0 \n", + "alpha[7] 1.714 0.783 0.490 2.932 0.011 0.010 5967.0 \n", + "alpha[8] -0.358 0.613 -1.336 0.585 0.007 0.009 8826.0 \n", + "alpha[9] 1.699 0.760 0.530 2.950 0.010 0.009 6172.0 \n", + "alpha[10] 0.767 0.672 -0.287 1.837 0.009 0.009 5800.0 \n", + "alpha[11] 0.387 0.619 -0.546 1.437 0.008 0.010 6318.0 \n", + "alpha[12] 0.753 0.633 -0.227 1.760 0.008 0.008 5907.0 \n", + "alpha[13] 0.011 0.593 -0.920 0.970 0.007 0.010 6565.0 \n", + "alpha[14] 1.695 0.738 0.424 2.766 0.010 0.008 6344.0 \n", + "alpha[15] 1.697 0.766 0.491 2.918 0.010 0.009 5959.0 \n", + "alpha[16] 2.535 0.670 1.451 3.553 0.009 0.007 5782.0 \n", + "alpha[17] 2.150 0.621 1.155 3.135 0.008 0.007 6126.0 \n", + "alpha[18] 1.803 0.544 0.950 2.668 0.007 0.005 6310.0 \n", + "alpha[19] 3.099 0.816 1.766 4.281 0.011 0.009 6216.0 \n", + "alpha[20] 2.132 0.611 1.101 2.998 0.009 0.007 5912.0 \n", + "alpha[21] 2.132 0.586 1.255 3.073 0.008 0.006 6331.0 \n", + "alpha[22] 2.142 0.609 1.149 3.064 0.008 0.007 6008.0 \n", + "alpha[23] 1.542 0.494 0.716 2.250 0.006 0.005 7678.0 \n", + "alpha[24] -1.093 0.440 -1.771 -0.393 0.006 0.005 6132.0 \n", + "alpha[25] 0.072 0.402 -0.524 0.750 0.005 0.007 6809.0 \n", + "alpha[26] -1.531 0.500 -2.299 -0.738 0.006 0.005 6115.0 \n", + "alpha[27] -0.556 0.407 -1.251 0.033 0.005 0.005 6790.0 \n", + "alpha[28] 0.075 0.391 -0.536 0.675 0.005 0.006 6386.0 \n", + "alpha[29] 1.310 0.463 0.571 2.041 0.006 0.005 5811.0 \n", + "alpha[30] -0.729 0.417 -1.361 -0.032 0.005 0.005 6228.0 \n", + "alpha[31] -0.395 0.404 -1.050 0.228 0.005 0.005 5725.0 \n", + "alpha[32] 2.844 0.656 1.737 3.795 0.008 0.007 6781.0 \n", + "alpha[33] 2.462 0.560 1.537 3.314 0.007 0.006 7102.0 \n", + "alpha[34] 2.463 0.572 1.485 3.266 0.008 0.006 5946.0 \n", + "alpha[35] 1.900 0.480 1.162 2.673 0.007 0.005 5548.0 \n", + "alpha[36] 1.914 0.491 1.166 2.695 0.007 0.005 6016.0 \n", + "alpha[37] 3.366 0.788 2.019 4.479 0.011 0.008 6427.0 \n", + "alpha[38] 2.451 0.582 1.544 3.334 0.007 0.006 7286.0 \n", + "alpha[39] 2.177 0.542 1.320 3.009 0.008 0.006 5378.0 \n", + "alpha[40] -1.907 0.470 -2.663 -1.188 0.006 0.005 7052.0 \n", + "alpha[41] -0.641 0.358 -1.203 -0.066 0.004 0.004 6959.0 \n", + "alpha[42] -0.505 0.343 -1.078 0.026 0.004 0.004 5933.0 \n", + "alpha[43] -0.388 0.334 -0.884 0.174 0.004 0.004 6316.0 \n", + "alpha[44] 0.509 0.345 -0.071 1.027 0.004 0.004 6490.0 \n", + "alpha[45] -0.631 0.344 -1.186 -0.100 0.004 0.004 6241.0 \n", + "alpha[46] 1.911 0.487 1.093 2.626 0.006 0.005 5920.0 \n", + "alpha[47] -0.061 0.339 -0.599 0.484 0.004 0.005 6429.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 3077.0 1.0 \n", + "alpha[1] 2800.0 1.0 \n", + "alpha[2] 2649.0 1.0 \n", + "alpha[3] 2718.0 1.0 \n", + "alpha[4] 3054.0 1.0 \n", + "alpha[5] 2731.0 1.0 \n", + "alpha[6] 3083.0 1.0 \n", + "alpha[7] 2391.0 1.0 \n", + "alpha[8] 2906.0 1.0 \n", + "alpha[9] 2938.0 1.0 \n", + "alpha[10] 2373.0 1.0 \n", + "alpha[11] 2991.0 1.0 \n", + "alpha[12] 2663.0 1.0 \n", + "alpha[13] 3111.0 1.0 \n", + "alpha[14] 3033.0 1.0 \n", + "alpha[15] 2758.0 1.0 \n", + "alpha[16] 2985.0 1.0 \n", + "alpha[17] 2599.0 1.0 \n", + "alpha[18] 2825.0 1.0 \n", + "alpha[19] 2690.0 1.0 \n", + "alpha[20] 2167.0 1.0 \n", + "alpha[21] 2937.0 1.0 \n", + "alpha[22] 2591.0 1.0 \n", + "alpha[23] 2916.0 1.0 \n", + "alpha[24] 2669.0 1.0 \n", + "alpha[25] 3013.0 1.0 \n", + "alpha[26] 2686.0 1.0 \n", + "alpha[27] 2361.0 1.0 \n", + "alpha[28] 3011.0 1.0 \n", + "alpha[29] 2924.0 1.0 \n", + "alpha[30] 2635.0 1.0 \n", + "alpha[31] 3194.0 1.0 \n", + "alpha[32] 2880.0 1.0 \n", + "alpha[33] 2540.0 1.0 \n", + "alpha[34] 2926.0 1.0 \n", + "alpha[35] 3011.0 1.0 \n", + "alpha[36] 2410.0 1.0 \n", + "alpha[37] 2749.0 1.0 \n", + "alpha[38] 2587.0 1.0 \n", + "alpha[39] 2796.0 1.0 \n", + "alpha[40] 3063.0 1.0 \n", + "alpha[41] 2868.0 1.0 \n", + "alpha[42] 3170.0 1.0 \n", + "alpha[43] 3112.0 1.0 \n", + "alpha[44] 2912.0 1.0 \n", + "alpha[45] 2375.0 1.0 \n", + "alpha[46] 2817.0 1.0 \n", + "alpha[47] 2808.0 1.0 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_1, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "fe0fa372", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_13_1, hdi_prob=0.89, combined=True, figsize=(17, 20))\n", + "\n", + "plt.grid(axis='y', c='white', alpha=0.3)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d19e5e79", + "metadata": {}, + "source": [ + "### R Code 13.3" + ] + }, + { + "cell_type": "markdown", + "id": "a3b894a1", + "metadata": {}, + "source": [ + "#### Multilevel model Tadpole\n", + "\n", + "$$ S_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{TANK[i]} $$\n", + "\n", + "$$ \\alpha[j] \\sim Normal(\\bar{\\alpha}, \\sigma) \\mbox{ - [Adaptative prior]} $$\n", + "\n", + "$$ \\bar{\\alpha} \\sim Normal(0, 1.5) \\mbox{ - [prior to average tank]} $$\n", + "\n", + "$$ \\sigma \\sim Exponential(1) \\mbox{ - [prior for standard deviation of tanks]} $$" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "7203c437", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_e2h0pxzb/model_jyvtw2so.stan', line 18, column 8 to column 41)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int qty;\n", + " array[qty] int N;\n", + " array[qty] int survival;\n", + " array[qty] int tank;\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty] alpha;\n", + " real bar_alpha;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[qty] p;\n", + " \n", + " alpha ~ normal(bar_alpha, sigma);\n", + " \n", + " bar_alpha ~ normal(0, 1.5);\n", + " sigma ~ exponential(1);\n", + " \n", + " for (i in 1:qty){\n", + " p[i] = alpha[ tank[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " survival ~ binomial(N, p);\n", + " }\n", + "\"\"\"\n", + "\n", + "\n", + "dat_list = {\n", + " 'qty': len(df),\n", + " 'tank': df['tank'].to_list(),\n", + " 'survival': df['surv'].to_list(),\n", + " 'N': df['density'].to_list()\n", + "}\n", + "\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e312974d", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_2 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys(),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2732fcfd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]2.1220.8670.7613.4100.0130.0114670.02652.01.0
alpha[1]3.0571.1111.3314.7800.0170.0144514.02725.01.0
alpha[2]1.0090.668-0.0922.0140.0100.0094757.02303.01.0
alpha[3]3.0511.1341.2874.8170.0190.0153884.02546.01.0
alpha[4]2.1130.8630.7753.5120.0130.0114661.02460.01.0
alpha[5]2.1240.8670.6963.4130.0150.0123970.02189.01.0
alpha[6]3.0661.1251.2384.7470.0190.0154090.02394.01.0
alpha[7]2.1160.8530.7513.4190.0120.0105383.02966.01.0
alpha[8]-0.1680.633-1.1620.8470.0090.0104716.02678.01.0
alpha[9]2.1100.8460.7433.4030.0120.0105010.02650.01.0
alpha[10]0.9870.667-0.0892.0130.0100.0084779.02951.01.0
alpha[11]0.5970.646-0.4111.6040.0090.0094973.02600.01.0
alpha[12]1.0020.671-0.0552.0350.0090.0085171.02865.01.0
alpha[13]0.2140.609-0.7171.2320.0090.0104279.02814.01.0
alpha[14]2.1230.8590.7703.4710.0130.0104826.02780.01.0
alpha[15]2.1330.8740.6773.4030.0130.0114744.02533.01.0
alpha[16]2.9100.8051.5964.1350.0120.0105070.02605.01.0
alpha[17]2.3840.6521.3583.3930.0100.0084563.02810.01.0
alpha[18]2.0130.5841.0922.9230.0090.0074620.02575.01.0
alpha[19]3.6330.9822.0815.1180.0170.0133893.02324.01.0
alpha[20]2.3860.6541.3163.3780.0100.0074954.02849.01.0
alpha[21]2.3960.6741.3173.4410.0090.0075553.02677.01.0
alpha[22]2.3760.6581.3203.3750.0100.0084411.02340.01.0
alpha[23]1.7020.5220.8672.5030.0080.0064477.02490.01.0
alpha[24]-0.9910.438-1.671-0.2920.0070.0054514.03235.01.0
alpha[25]0.1650.406-0.4760.8100.0060.0064809.03083.01.0
alpha[26]-1.4350.507-2.178-0.5820.0080.0064671.02617.01.0
alpha[27]-0.4760.406-1.1290.1610.0060.0054928.03110.01.0
alpha[28]0.1550.392-0.5050.7400.0050.0075297.02213.01.0
alpha[29]1.4400.4660.6892.1820.0060.0055406.03145.01.0
alpha[30]-0.6320.405-1.274-0.0050.0060.0055142.03273.01.0
alpha[31]-0.3090.394-0.9130.3400.0050.0055375.03214.01.0
alpha[32]3.1880.7721.9804.3770.0130.0104251.02390.01.0
alpha[33]2.6960.6371.7093.6760.0100.0084229.02695.01.0
alpha[34]2.7220.6451.7173.7330.0100.0084610.02941.01.0
alpha[35]2.0490.5011.2812.8320.0070.0064958.02795.01.0
alpha[36]2.0670.5041.3222.9100.0080.0064683.02858.01.0
alpha[37]3.8620.9632.3665.3310.0160.0124501.02430.01.0
alpha[38]2.7040.6521.6033.6770.0100.0084824.02751.01.0
alpha[39]2.3520.5751.4493.2430.0090.0074457.02668.01.0
alpha[40]-1.8080.475-2.564-1.0830.0070.0054606.02552.01.0
alpha[41]-0.5740.349-1.119-0.0200.0040.0046263.03038.01.0
alpha[42]-0.4520.346-1.0060.0940.0050.0044843.02948.01.0
alpha[43]-0.3380.336-0.8450.2270.0050.0044978.02791.01.0
alpha[44]0.5790.3500.0381.1450.0050.0044657.02913.01.0
alpha[45]-0.5730.347-1.1060.0030.0050.0045124.02977.01.0
alpha[46]2.0830.5241.2822.9380.0080.0064687.02834.01.0
alpha[47]-0.0010.323-0.5160.5110.0050.0054878.03390.01.0
bar_alpha1.3380.2520.9421.7400.0040.0033387.02606.01.0
sigma1.6130.2141.2741.9290.0040.0032393.02698.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 2.122 0.867 0.761 3.410 0.013 0.011 4670.0 \n", + "alpha[1] 3.057 1.111 1.331 4.780 0.017 0.014 4514.0 \n", + "alpha[2] 1.009 0.668 -0.092 2.014 0.010 0.009 4757.0 \n", + "alpha[3] 3.051 1.134 1.287 4.817 0.019 0.015 3884.0 \n", + "alpha[4] 2.113 0.863 0.775 3.512 0.013 0.011 4661.0 \n", + "alpha[5] 2.124 0.867 0.696 3.413 0.015 0.012 3970.0 \n", + "alpha[6] 3.066 1.125 1.238 4.747 0.019 0.015 4090.0 \n", + "alpha[7] 2.116 0.853 0.751 3.419 0.012 0.010 5383.0 \n", + "alpha[8] -0.168 0.633 -1.162 0.847 0.009 0.010 4716.0 \n", + "alpha[9] 2.110 0.846 0.743 3.403 0.012 0.010 5010.0 \n", + "alpha[10] 0.987 0.667 -0.089 2.013 0.010 0.008 4779.0 \n", + "alpha[11] 0.597 0.646 -0.411 1.604 0.009 0.009 4973.0 \n", + "alpha[12] 1.002 0.671 -0.055 2.035 0.009 0.008 5171.0 \n", + "alpha[13] 0.214 0.609 -0.717 1.232 0.009 0.010 4279.0 \n", + "alpha[14] 2.123 0.859 0.770 3.471 0.013 0.010 4826.0 \n", + "alpha[15] 2.133 0.874 0.677 3.403 0.013 0.011 4744.0 \n", + "alpha[16] 2.910 0.805 1.596 4.135 0.012 0.010 5070.0 \n", + "alpha[17] 2.384 0.652 1.358 3.393 0.010 0.008 4563.0 \n", + "alpha[18] 2.013 0.584 1.092 2.923 0.009 0.007 4620.0 \n", + "alpha[19] 3.633 0.982 2.081 5.118 0.017 0.013 3893.0 \n", + "alpha[20] 2.386 0.654 1.316 3.378 0.010 0.007 4954.0 \n", + "alpha[21] 2.396 0.674 1.317 3.441 0.009 0.007 5553.0 \n", + "alpha[22] 2.376 0.658 1.320 3.375 0.010 0.008 4411.0 \n", + "alpha[23] 1.702 0.522 0.867 2.503 0.008 0.006 4477.0 \n", + "alpha[24] -0.991 0.438 -1.671 -0.292 0.007 0.005 4514.0 \n", + "alpha[25] 0.165 0.406 -0.476 0.810 0.006 0.006 4809.0 \n", + "alpha[26] -1.435 0.507 -2.178 -0.582 0.008 0.006 4671.0 \n", + "alpha[27] -0.476 0.406 -1.129 0.161 0.006 0.005 4928.0 \n", + "alpha[28] 0.155 0.392 -0.505 0.740 0.005 0.007 5297.0 \n", + "alpha[29] 1.440 0.466 0.689 2.182 0.006 0.005 5406.0 \n", + "alpha[30] -0.632 0.405 -1.274 -0.005 0.006 0.005 5142.0 \n", + "alpha[31] -0.309 0.394 -0.913 0.340 0.005 0.005 5375.0 \n", + "alpha[32] 3.188 0.772 1.980 4.377 0.013 0.010 4251.0 \n", + "alpha[33] 2.696 0.637 1.709 3.676 0.010 0.008 4229.0 \n", + "alpha[34] 2.722 0.645 1.717 3.733 0.010 0.008 4610.0 \n", + "alpha[35] 2.049 0.501 1.281 2.832 0.007 0.006 4958.0 \n", + "alpha[36] 2.067 0.504 1.322 2.910 0.008 0.006 4683.0 \n", + "alpha[37] 3.862 0.963 2.366 5.331 0.016 0.012 4501.0 \n", + "alpha[38] 2.704 0.652 1.603 3.677 0.010 0.008 4824.0 \n", + "alpha[39] 2.352 0.575 1.449 3.243 0.009 0.007 4457.0 \n", + "alpha[40] -1.808 0.475 -2.564 -1.083 0.007 0.005 4606.0 \n", + "alpha[41] -0.574 0.349 -1.119 -0.020 0.004 0.004 6263.0 \n", + "alpha[42] -0.452 0.346 -1.006 0.094 0.005 0.004 4843.0 \n", + "alpha[43] -0.338 0.336 -0.845 0.227 0.005 0.004 4978.0 \n", + "alpha[44] 0.579 0.350 0.038 1.145 0.005 0.004 4657.0 \n", + "alpha[45] -0.573 0.347 -1.106 0.003 0.005 0.004 5124.0 \n", + "alpha[46] 2.083 0.524 1.282 2.938 0.008 0.006 4687.0 \n", + "alpha[47] -0.001 0.323 -0.516 0.511 0.005 0.005 4878.0 \n", + "bar_alpha 1.338 0.252 0.942 1.740 0.004 0.003 3387.0 \n", + "sigma 1.613 0.214 1.274 1.929 0.004 0.003 2393.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2652.0 1.0 \n", + "alpha[1] 2725.0 1.0 \n", + "alpha[2] 2303.0 1.0 \n", + "alpha[3] 2546.0 1.0 \n", + "alpha[4] 2460.0 1.0 \n", + "alpha[5] 2189.0 1.0 \n", + "alpha[6] 2394.0 1.0 \n", + "alpha[7] 2966.0 1.0 \n", + "alpha[8] 2678.0 1.0 \n", + "alpha[9] 2650.0 1.0 \n", + "alpha[10] 2951.0 1.0 \n", + "alpha[11] 2600.0 1.0 \n", + "alpha[12] 2865.0 1.0 \n", + "alpha[13] 2814.0 1.0 \n", + "alpha[14] 2780.0 1.0 \n", + "alpha[15] 2533.0 1.0 \n", + "alpha[16] 2605.0 1.0 \n", + "alpha[17] 2810.0 1.0 \n", + "alpha[18] 2575.0 1.0 \n", + "alpha[19] 2324.0 1.0 \n", + "alpha[20] 2849.0 1.0 \n", + "alpha[21] 2677.0 1.0 \n", + "alpha[22] 2340.0 1.0 \n", + "alpha[23] 2490.0 1.0 \n", + "alpha[24] 3235.0 1.0 \n", + "alpha[25] 3083.0 1.0 \n", + "alpha[26] 2617.0 1.0 \n", + "alpha[27] 3110.0 1.0 \n", + "alpha[28] 2213.0 1.0 \n", + "alpha[29] 3145.0 1.0 \n", + "alpha[30] 3273.0 1.0 \n", + "alpha[31] 3214.0 1.0 \n", + "alpha[32] 2390.0 1.0 \n", + "alpha[33] 2695.0 1.0 \n", + "alpha[34] 2941.0 1.0 \n", + "alpha[35] 2795.0 1.0 \n", + "alpha[36] 2858.0 1.0 \n", + "alpha[37] 2430.0 1.0 \n", + "alpha[38] 2751.0 1.0 \n", + "alpha[39] 2668.0 1.0 \n", + "alpha[40] 2552.0 1.0 \n", + "alpha[41] 3038.0 1.0 \n", + "alpha[42] 2948.0 1.0 \n", + "alpha[43] 2791.0 1.0 \n", + "alpha[44] 2913.0 1.0 \n", + "alpha[45] 2977.0 1.0 \n", + "alpha[46] 2834.0 1.0 \n", + "alpha[47] 3390.0 1.0 \n", + "bar_alpha 2606.0 1.0 \n", + "sigma 2698.0 1.0 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_2, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "29c63ab3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_13_2, hdi_prob=0.89, combined=True, figsize=(17, 20))\n", + "\n", + "plt.grid(axis='y', color='white', alpha=0.3)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c81d27cd", + "metadata": {}, + "source": [ + "### R Code 13.4" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "b2f99ea1", + "metadata": {}, + "outputs": [], + "source": [ + "# az.compare(model_13_1, model_13_2)" + ] + }, + { + "cell_type": "markdown", + "id": "122be960", + "metadata": {}, + "source": [ + "### R Code 13.5" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "fe08dff6", + "metadata": {}, + "outputs": [], + "source": [ + "means = [ model_13_2.posterior.alpha.sel(alpha_dim_0=(i-1)).values.flatten().mean() for i in df.tank ]\n", + "means = inv_logit(means)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "32f09207", + "metadata": {}, + "outputs": [], + "source": [ + "# My test, this is not originaly in book\n", + "means_13_1 = [ model_13_1.posterior.alpha.sel(alpha_dim_0=(i-1)).values.flatten().mean() for i in df.tank ]\n", + "means_13_1 = inv_logit(means_13_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ce91f00b", + "metadata": {}, + "outputs": [], + "source": [ + "bar_alpha_log = model_13_2.posterior.bar_alpha.values.flatten()\n", + "bar_alpha = inv_logit(bar_alpha_log)\n", + "bar_alpha_mean = bar_alpha.mean() \n", + "\n", + "sigma_log = model_13_2.posterior.sigma.values.flatten()\n", + "sigma = inv_logit(sigma_log)\n", + "sigma_mean = sigma.mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "60f9bf96", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "plt.ylim = ([0, 1])\n", + "\n", + "plt.scatter(df.tank, means, edgecolors='black', c='lightgray', s=100)\n", + "plt.scatter(df.tank, means_13_1, edgecolors='yellow', c='lightgray', s=100, alpha=0.4)\n", + "plt.scatter(df.tank, df.propsurv, c='blue')\n", + "\n", + "\n", + "plt.axvline(x=15.5, ls='--', color='white', alpha=0.3)\n", + "plt.axvline(x=31.5, ls='--', color='white', alpha=0.3)\n", + "\n", + "plt.axhline(y=bar_alpha_mean, ls='--', c='black', alpha=0.7)\n", + "\n", + "plt.text(4, 0.05, 'Small Tank', size=12)\n", + "plt.text(22, 0.05, 'Medium Tank', size=12)\n", + "plt.text(40, 0.05, 'Large Tank', size=12)\n", + "\n", + "plt.gca().set_ylim(0.0, 1.05)\n", + "\n", + "plt.title('Tadpole survival Tanks')\n", + "plt.xlabel('Tank Index')\n", + "plt.ylabel('Porportion Survival')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3e064bb2", + "metadata": {}, + "source": [ + "- **Blue dot**: Proportion survival s_i/N_i\n", + "\n", + "- **Black circle**: Multilevel model estimative\n", + "\n", + "- **Light Yellow**: No-pooling estimative" + ] + }, + { + "cell_type": "markdown", + "id": "1fb23838", + "metadata": {}, + "source": [ + "### R Code 13.6" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "086fcc9f", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(17, 6))\n", + "gs = GridSpec(1, 2)\n", + "\n", + "x = np.linspace(-3, 4)\n", + "\n", + "s_sampled = 500\n", + "\n", + "ax1 = fig.add_subplot(gs[0, 0])\n", + "log_odds_survival = []\n", + "log_odds_sampled_index = np.random.choice(len(bar_alpha_log) ,size=s_sampled, replace=False)\n", + "\n", + "for i in log_odds_sampled_index:\n", + " log_odds_survival.append(stats.norm.pdf(x, bar_alpha_log[i], sigma_log[i]))\n", + "\n", + "for i in range(s_sampled):\n", + " ax1.plot(x, log_odds_survival[i], c='darkblue', linewidth=0.05)\n", + "ax1.set_title('Survival across Tank')\n", + "ax1.set_xlabel('log_odds survival')\n", + "ax1.set_ylabel('Density')\n", + " \n", + "\n", + "ax2 = fig.add_subplot(gs[0, 1])\n", + "samples_log = np.random.normal(bar_alpha_log, sigma_log)\n", + "ax2.hist(inv_logit(samples_log), rwidth=0.9, color='darkblue', density=True)\n", + "ax2.axvline(x=np.mean(inv_logit(samples_log)), c='black', ls='--')\n", + "ax2.text(np.mean(inv_logit(samples_log))+0.01, 2.5, 'Mean')\n", + "\n", + "ax2.set_title('Survival probabilities simulations')\n", + "ax2.set_xlabel('Probability survival')\n", + "ax2.set_ylabel('Density')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "81b96139", + "metadata": {}, + "source": [ + "## 13.2 Varing effects and underfitting/overfitting trade-off" + ] + }, + { + "cell_type": "markdown", + "id": "72b22cfa", + "metadata": {}, + "source": [ + "The model\n", + "\n", + "$$ S_i \\sim Binomial(N_i, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{POND[i]} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(\\bar{\\alpha}, \\sigma) $$\n", + "\n", + "$$ \\bar{\\alpha} \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ \\sigma \\sim Exponential(1) $$" + ] + }, + { + "cell_type": "markdown", + "id": "a6fef872", + "metadata": {}, + "source": [ + "$\\bar{\\alpha} := $ the avegare log-oods fo survival in the entire population of ponds\n", + "\n", + "$\\sigma := $ the standard deviation of the distribution of log-oods of survivial among ponds\n", + "\n", + "$\\alpha := $ a vector of individual pond intercepts, one for each pond" + ] + }, + { + "cell_type": "markdown", + "id": "1ebf32aa", + "metadata": {}, + "source": [ + "### R Code 13.7" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "4279f35b", + "metadata": {}, + "outputs": [], + "source": [ + "a_bar = 1.5\n", + "sigma = 1.5\n", + "nponds = 60\n", + "\n", + "repeats = 15\n", + "\n", + "Ni = np.repeat([5, 10, 25, 35], repeats=repeats)" + ] + }, + { + "cell_type": "markdown", + "id": "646a770c", + "metadata": {}, + "source": [ + "### R Code 13.8" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "7d9ecd3d", + "metadata": {}, + "outputs": [], + "source": [ + "a_pond = np.random.normal(loc=a_bar, scale=sigma, size=nponds)" + ] + }, + { + "cell_type": "markdown", + "id": "ef39008e", + "metadata": {}, + "source": [ + "### R Code 13.9" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "c9614282", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pondNitrue_a
0152.739710
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" + ], + "text/plain": [ + " pond Ni true_a\n", + "0 1 5 2.739710\n", + "1 2 5 3.174035\n", + "2 3 5 1.950330\n", + "3 4 5 0.743275\n", + "4 5 5 0.167714" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = {\n", + " 'pond': np.arange(nponds) + 1,\n", + " 'Ni':Ni,\n", + " 'true_a': a_pond,\n", + "}\n", + "\n", + "dsim = pd.DataFrame(data=d)\n", + "dsim.head()" + ] + }, + { + "cell_type": "markdown", + "id": "bdfe8ced", + "metadata": {}, + "source": [ + "### R Code 13.10" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "6ac31a70", + "metadata": {}, + "outputs": [], + "source": [ + "# Code in R -> integer vs numeric" + ] + }, + { + "cell_type": "markdown", + "id": "f6abedc7", + "metadata": {}, + "source": [ + "### R Code 13.11" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "624e38f2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pondNitrue_aSi
0152.7397105
1253.1740354
2351.9503305
3450.7432752
4550.1677143
\n", + "
" + ], + "text/plain": [ + " pond Ni true_a Si\n", + "0 1 5 2.739710 5\n", + "1 2 5 3.174035 4\n", + "2 3 5 1.950330 5\n", + "3 4 5 0.743275 2\n", + "4 5 5 0.167714 3" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dsim['Si'] = np.random.binomial(n=dsim['Ni'], p=inv_logit(dsim['true_a']))\n", + "dsim.head()" + ] + }, + { + "cell_type": "markdown", + "id": "1039fcb5", + "metadata": {}, + "source": [ + "### R Code 13.12" + ] + }, + { + "cell_type": "markdown", + "id": "8b394277", + "metadata": {}, + "source": [ + "#### 13.2.4 Compute the no-pooling estimates" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "27491eda", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pondNitrue_aSip_nopool
0152.73971051.0
1253.17403540.8
2351.95033051.0
3450.74327520.4
4550.16771430.6
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" + ], + "text/plain": [ + " pond Ni true_a Si p_nopool\n", + "0 1 5 2.739710 5 1.0\n", + "1 2 5 3.174035 4 0.8\n", + "2 3 5 1.950330 5 1.0\n", + "3 4 5 0.743275 2 0.4\n", + "4 5 5 0.167714 3 0.6" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dsim['p_nopool'] = dsim['Si'] / dsim['Ni']\n", + "dsim.head()" + ] + }, + { + "cell_type": "markdown", + "id": "99d028cf", + "metadata": {}, + "source": [ + "### R Code 13.13" + ] + }, + { + "cell_type": "markdown", + "id": "99ccaee8", + "metadata": {}, + "source": [ + "#### 13.2.5 Compute the partial-pooling estimates" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2681a744", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 81% (6500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 4.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.81 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] int pond; // Pond index\n", + " array[N] int Ni; // Population in pond[i]\n", + " array[N] int Si; // Survivals from Ni pond\n", + " }\n", + " \n", + " parameters {\n", + " vector[N] alpha;\n", + " real bar_alpha;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] pi;\n", + " \n", + " // Link\n", + " for (i in 1:N) {\n", + " pi[i] = alpha[ pond[i] ];\n", + " pi[i] = inv_logit(pi[i]);\n", + " }\n", + " \n", + " // Prior\n", + " alpha ~ normal(bar_alpha, sigma);\n", + " \n", + " // Hyper Prior\n", + " bar_alpha ~ normal(0, 1.5);\n", + " sigma ~ exponential(1);\n", + " \n", + " // Likelihood\n", + " Si ~ binomial(Ni, pi);\n", + " }\n", + "\"\"\"\n", + "\n", + "\n", + "dat_list = {\n", + " 'N': len(dsim),\n", + " 'Ni': dsim['Ni'].to_list(),\n", + " 'pond': dsim['pond'].to_list(),\n", + " 'Si': dsim['Si'].to_list(),\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "cb5b2d66", + "metadata": {}, + "source": [ + "### R Code 13.14" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "7eb8e89c", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_3 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "8dd12db9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]2.8131.2360.7854.6600.0210.0163797.02736.01.0
alpha[1]1.6250.9910.0743.2260.0150.0134780.02616.01.0
alpha[2]2.8161.2720.8624.8080.0200.0174445.02414.01.0
alpha[3]0.0660.851-1.3481.3670.0120.0165374.02548.01.0
alpha[4]0.7430.863-0.5672.1570.0120.0125583.02624.01.0
..............................
alpha[57]3.2690.7962.0304.5310.0120.0104592.02290.01.0
alpha[58]-1.4110.420-2.025-0.7130.0060.0045201.02968.01.0
alpha[59]-0.4390.335-0.9560.0950.0050.0044896.02723.01.0
bar_alpha1.5510.2531.1661.9750.0050.0032812.03216.01.0
sigma1.6570.2301.3002.0190.0060.0041418.01740.01.0
\n", + "

62 rows × 9 columns

\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 2.813 1.236 0.785 4.660 0.021 0.016 3797.0 \n", + "alpha[1] 1.625 0.991 0.074 3.226 0.015 0.013 4780.0 \n", + "alpha[2] 2.816 1.272 0.862 4.808 0.020 0.017 4445.0 \n", + "alpha[3] 0.066 0.851 -1.348 1.367 0.012 0.016 5374.0 \n", + "alpha[4] 0.743 0.863 -0.567 2.157 0.012 0.012 5583.0 \n", + "... ... ... ... ... ... ... ... \n", + "alpha[57] 3.269 0.796 2.030 4.531 0.012 0.010 4592.0 \n", + "alpha[58] -1.411 0.420 -2.025 -0.713 0.006 0.004 5201.0 \n", + "alpha[59] -0.439 0.335 -0.956 0.095 0.005 0.004 4896.0 \n", + "bar_alpha 1.551 0.253 1.166 1.975 0.005 0.003 2812.0 \n", + "sigma 1.657 0.230 1.300 2.019 0.006 0.004 1418.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2736.0 1.0 \n", + "alpha[1] 2616.0 1.0 \n", + "alpha[2] 2414.0 1.0 \n", + "alpha[3] 2548.0 1.0 \n", + "alpha[4] 2624.0 1.0 \n", + "... ... ... \n", + "alpha[57] 2290.0 1.0 \n", + "alpha[58] 2968.0 1.0 \n", + "alpha[59] 2723.0 1.0 \n", + "bar_alpha 3216.0 1.0 \n", + "sigma 1740.0 1.0 \n", + "\n", + "[62 rows x 9 columns]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_3, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "999a0658", + "metadata": {}, + "source": [ + "### R Code 13.15" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "07042ce0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pondNitrue_aSip_nopoolp_partpool
0152.73971051.00.943360
1253.17403540.80.835496
2351.95033051.00.943544
3450.74327520.40.516615
4550.16771430.60.677755
\n", + "
" + ], + "text/plain": [ + " pond Ni true_a Si p_nopool p_partpool\n", + "0 1 5 2.739710 5 1.0 0.943360\n", + "1 2 5 3.174035 4 0.8 0.835496\n", + "2 3 5 1.950330 5 1.0 0.943544\n", + "3 4 5 0.743275 2 0.4 0.516615\n", + "4 5 5 0.167714 3 0.6 0.677755" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dsim['p_partpool'] = [inv_logit(model_13_3.posterior.alpha.sel(alpha_dim_0=i).values.mean()) for i in range(len(dsim))]\n", + "dsim.head()" + ] + }, + { + "cell_type": "markdown", + "id": "3413ccee", + "metadata": {}, + "source": [ + "### R Code 13.16" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "9a6fd6bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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pondNitrue_aSip_nopoolp_partpoolp_true
0152.73971051.00.9433600.939330
1253.17403540.80.8354960.959845
2351.95033051.00.9435440.875483
3450.74327520.40.5166150.677712
4550.16771430.60.6777550.541830
\n", + "
" + ], + "text/plain": [ + " pond Ni true_a Si p_nopool p_partpool p_true\n", + "0 1 5 2.739710 5 1.0 0.943360 0.939330\n", + "1 2 5 3.174035 4 0.8 0.835496 0.959845\n", + "2 3 5 1.950330 5 1.0 0.943544 0.875483\n", + "3 4 5 0.743275 2 0.4 0.516615 0.677712\n", + "4 5 5 0.167714 3 0.6 0.677755 0.541830" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dsim['p_true'] = inv_logit(dsim['true_a'])\n", + "dsim.head()" + ] + }, + { + "cell_type": "markdown", + "id": "a8170cd3", + "metadata": {}, + "source": [ + "### R Code 13.17" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "c78e65a9", + "metadata": {}, + "outputs": [], + "source": [ + "no_pool_error = np.abs(dsim['p_nopool'] - dsim['p_true'])\n", + "partpool_error = np.abs(dsim['p_partpool'] - dsim['p_true'])" + ] + }, + { + "cell_type": "markdown", + "id": "340feedc", + "metadata": {}, + "source": [ + "### R Code 13.18" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "f6734480", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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WA+cZYyYaY6J9r8GZTWJqxlp7rm9ceaCvc9u41698r1EykAU0TsQX7GfUmq14x3wHEgf0wfua1xljzgUmtOOa7Yk1B7jJGDPSGNMP74cOz/l6bTwPTDLGjDfGxAK3ANXABx28d0tN318j8H4IJCIivZQKdxERiSSfGWMq8Ba7lwIXWmt3BTjut3gnGNuDdxK2vMYdvjW/z8PbJX4TsBnvOOVmrLV/Be4G/mGM+U4r99gIbMA7lvqZJud+Afwf8CHeYjMFeL/JuacC//Q9l2VAlrU20AcQjvCNyT8f74cT2/G2wP8KZ/4ueAlYCRTh/Vk84dve6s8oiPuAO3zd+3/ZdIe19htgJt6CdzfeifmWdVOsT+L9+b6L9+ddhe+DGmvtl3h7CzyMd+6F8/DOjRBsmEV73I33vbkBeANYivcDARER6YWMta32OhMRERHpNGOMBY601q4LdSxtCfdYjTHXAD+x1racwE9ERHoBtbiLiIiIhBljTJIx5vu+pQmPwtsF/4VQxyUiIqHR2sQ8IiIiIhI6cXiXOxwJlAPPAgtDGZCIiISOusqLiIiIiIiIhDF1lRcREREREREJYyrcRUREuokx5m1jzJUOXHeOMWax7/tDfOunR3f3fdzKGPMdY4w1xsT4Hi83xlwa6rhERETaS2PcRURE2sk38/g+vOuuVwF/B66x1pb3VAzW2k1Av566nxu1Y+15ERGRsKIWdxERkY45wVrbDzgMGADMCW04IiIi4nYq3EVERDrBWrsXWAYcG2h/0+7tvsctu2v3N8Y8YYwpNcaUGGPuaU/39wDXedsY8ztjzPvGmG+MMa8bYwY3Of67xpgPjDHlxpjPjDFndu2ZB4zJGmOuNsZ85bvPI8YY49sXZYy5wxiz0RizzRjztDGmfyvXOdMYs9kYc7sxZocx5r/GmMwm+/v7zt/uu94dxpioTtzHP6TBGHOZMeY9Y8z/M8bsNsZsMMac2+TYkcaYd32v7Ru+57Y40HVFREScosJdRESkE4wxA4ALgI86eYmngDrgCOBEYALQ2fHx04HLgaF4lxH7pS/GEUA+cA8w0Lc91xgzJNBFjDGv+ArvQF+vtBHDZOBU4HjgYmCib/tlvq+z8PZS6Af8Mch1EoHBwAjgUuBR3zrmAA8D/X3XGQdc4nvenblPU6cDX/ru+3vgicYPHoAlwL+AQXh7V8xo5zVFRES6jQp3ERGRjvnEGFMO7AAOwbvWdocYY4YBacCN1tpvrbXbgD8AP+lkTIustWuttZXA80Cqb/tPgQJrbYG1tsFa+3fgY9+992OtnWytTWjla3IbMdxvrS33jcF/q0kMmcBD1tr11toK4DbgJ409BlrxG2tttbX2HbwfPFzs643wE+A2a+031tr/Av/H/wrpztyn0UZr7WPW2nrgr0ASMMwYcwjeDyPutNbWWGvfw9vLQkREpEdpcjoREZGOOclau84YEwtcCxQaY4611lZ14BqHArFA6f8adokCijsZU1mT7/fxv8nrDgUuMsac12R/LN7Curu1FsNwYGOTfRvx/v0xDCgJcJ3d1tpvWxw/HG9reGyAa41ox33aHbu1dp/vZ9LPd89d1tp9TY4tBpLbcU0REZFuoxZ3ERGRTrDW1gKPAyOB4wIc8i0Q3+RxYpPvi4FqYHCTFu2DrLWjuznMYuCZFi3nB1hr7w90sG+ZtIpWvpZ3MoYteD9AaHQI3iECW1s5foAx5oAWx2/B28OhNsC1Gov/jt6nPUqBgcaYpj9HFe0iItLjVLiLiIh0gq/r9uVAJbA+wCFFwBm+ddf74+26DYC1thR4Hfg/Y8xBvonVDjfGjOvmMBcD5xljJhpjoo0xHt8EcAcHOthae661tl8rX51dQi0HuMk3yVs/4F7gOWttXZBzfmuMiTPGjMU7dv5vvm7szwNzjTEHGmMOBW72PcfO3icoa+1GvEML5vji+R5wXhuniYiIdDsV7iIiIh3zmTGmAtiNd/K0C621u1oe5BtP/hzwb2Al0HJyt0vwTiT3he9aS/GOre421tpi4HzgdmA73hb4X9Gzv/+fBJ4B3gU2AFXADUGOL8P7emwBsoGrrbVrfPtuwNuTYT3wHt6J457s5H3aKxP4HrAT7yR/z+HtLSEiItJjjLU21DGIiIiI4FuqbrG1NmCPgHBgjHkOWGOtvSvUsYiISO+hFncRERGRVhhjTvUNY4gyxpyDtwfDiyEOS0REehlHC3djzDnGmC+NMeuMMbcG2H+1MWaVMabIGPOeMeZY3/bvGGMqfduLjDF/djJOERERkVYkAm8DFcAC4Bpr7achjUhERHodx7rK+ybtWQv8CNgMrACmWWu/aHLMQdbavb7vpwDXWmvPMcZ8B3jFWhtoll4RERERERGRXsPJFvfTgHXW2vXW2hrgWbzdy/wai3afAwANuBcRERERERFpwsnCfQTe2WsbbfZta8YYc50x5mvg98DMJrtGGmM+Nca841sORkRERERERKTXiQl1ANbaR4BHjDHTgTvwLq1TChxird1pjDkZeNEYM7pFCz3GmF8AvwDo27fvySNHjuzh6EUkVKKivJ87NjQ0hDgSEXdSjok4T3km4qxIy7Evvvhih7V2SKB9ThbuJUByk8cH+7a15lngTwDW2mp8a6Raa1f6WuRHAR83PcFa+yjwKMDo0aPtc889123Bi0h469u3LwCVlZUhjkTEnZRjIs5Tnok4K9JyLCUlZWNr+5zsKr8CONIYM9IYEwf8BFjW9ABjzJFNHk4CvvJtH+Kb3A5jzGHAkcB6B2MVERERERERCUuOtbhba+uMMdcDrwHRwJPW2tXGmLuBj621y4DrjTE/BGqB3Xi7yQOcAdxtjKkFGoCrrbW7nIpVREREREREJFw5OsbdWlsAFLTYdmeT77NaOS8XyHUyNhEREREREZFIEPLJ6UREOiNSJhkRiVTKMRHnKc9EnOWmHFPhLiIRqbq6OtQhiLiackzEecozEWe5KcecnJxORERERERERLpIhbuIRCSPx4PH4wl1GCKupRwTcZ7yTMRZbsoxdZUXkYhkjAl1CCKuphwTcZ7yTMRZbsoxtbiLiIiIiIiIhDEV7iIiIiIiIiJhTIW7iIiIiIiISBjTGHcRiUj19fWhDkHE1ZRjIs5Tnok4y005psJdRCJSTU1NqEMQcTXlmIjzlGciznJTjqmrvIiIiIiIiEgYU+EuIhGpb9++9O3bN9RhiLiWckzEecozEWe5KcdUuIuIiIiIiIiEMRXuIiIiIiIiImFMhbuIiIiIiIhIGFPhLiIiIiIiIhLGtByciEQkN63LKRKOlGMizlOeiTjLTTmmwl1EIpKb1uUUCUfKMRHnKc9EnOWmHFNXeREREREREZEwpsJdRCKSm9blFAlHyjER5ynPRJzlphxT4S4iIiIiIiISxlS4i4iIiIiIiIQxFe4iIiIiIiIiYUyFu4iIiIiIiEgY03JwIhKR6urqQh2CiKspx0ScpzwTcZabckyFu4hEpNra2lCHIOJqyjER5ynPRJzlphxTV3kRERERERGRMKbCXUQikpvW5RQJR8oxEecpz0Sc5aYcU+EuIiIiIiIiEsZUuIuIiIiIiIiEMRXuIiIiIiIiImFMhbuIiIiIiIhIGNNycCISkdy0LqdIOFKOiThPeSbiLDflmAp3EYlIblqXUyQcKcdEnKc8E3GWm3JMXeVFJCIZYzDGhDoMEddSjok4T3km4iw35ZgKdxGJSB6PB4/HE+owRFxLOSbiPOWZiLPclGMq3EVERERERETCmAp3ERERERERkTCmwl1EREREREQkjKlwFxEREREREQljWg5ORCKSm5b3EAlHyjER5ynPRJzlphxT4S4iEamuri7UIYi4mnJMxHnKMxFnuSnH1FVeRCKSm9blFAlHyjER5ynPRJzlphxT4S4iEclN63KKhCPlmIjzlGciznJTjqlwFxEREREREQljKtxFREREREREwpgKd+mVLrjgAlasWBHqMDpt9uzZLFiwoFPnzps3j2eeeaZdx06bNo1169Z16j4iTU2cOJEPP/xwv+9DqafyKBjlWO/W8j0Y6b+bWgqHHAPlmUQG5Yu0RbPKiyuddtpp/u+rqqqIi4sjKsr7OdWdd97Jiy++6Mh9J06cyM6dO4mKiqJv37784Ac/YPbs2cTHxztyv47atWsXL7/8Mvn5+QBcfvnl/Pvf/yY6OhqAYcOG8fLLL/uPv/TSS3nkkUf4wx/+EJJ4xXmffPIJDz30EF9//TVRUVEcdthh/PrXv+a4444LWUyRlkdLlizhpZde4quvvuLcc89l7ty5zY7fs2cPd955Jx9++CEJCQlkZWUxadIkQDkWSSZOnMi2bdv4xz/+wYABA/zbL7roItasWcOrr77KiBEjunQPp343tRRpOVZTU8M999zDRx99xJ49e0hOTiYrK4uxY8cC+l3mJhMnTmTOnDl873vfC3UofpGWLwC33nor//znP6msrGTw4MFcfvnlZGRkAMqXSKYWd3Glf/3rX/6vpKQkHn74Yf/jyZMnO3rvxns9//zzfPHFF/zlL39x9H4d8dJLLzF27Nhmk3Tcfvvt/tem6X/cAGeddRb/+te/2LFjR0+H2qaamhpqampCHUZEq6io4Prrr2f69Om89957vPnmm1xzzTXExsaGOrSIyqOhQ4fyi1/8ggsvvDDg8XPnziU2Npa3336b+++/n3vuucffmqEciywHH3wwBQUF/sdr166lqqoqhBF1XiTlWF1dHYmJiSxatIgPP/yQG264gV/+8peUlJT4z9HvMmnkxPJfkZQvAFdeeSWvvfYaH330EQsWLODhhx9m9erV/v2Rmi+d4aYcU+EuvVLLbrtPPfUU6enpfO973+OXv/wl1dXVACxatIibbrqp2bn33Xcf999/f5v3GDZsGD/4wQ/8f6CvX7+eyy+/nDFjxnDBBRfw1ltvNYuntRgA/vOf/3DxxRdz+umn88tf/rLZf0BPPPEE48eP5/TTT+e8887jo48+ajWm9957j5NPPrkdr5BXnz59OPbYY3n//ffbfU5Pqa+vp76+PtRhRLSNGzcCkJaWRnR0NB6PhzFjxnDUUUcB3vflokWLSE9P57TTTuPOO+9kx44dXH311Zx++ulceeWV7Nmzx3+9xx9/nHPPPZfTTz+d888/nzfffLPLMUZCHv3whz9k/Pjx9O/ff79j9+3bx9///neuv/564uPjOemkkzjzzDP9fygpxyLL5MmTm/2Ru2zZMs4777xmx2zbto2bbrqJM844g3POOYfs7Gz/vmDvQWj+uyklJYVNmzb597XsRtvR/GxNyxyDzudZW8+vvXnWMsfi4+O59tprGTFiBFFRUYwbN44RI0bwxRdftPn8QHnmBm39fpk4cSJPPPGEPx9WrVrFRRddxOmnn87NN9/ML3/5y2b5EyxPg4mEfAE44ogjiIuLA/63HFpxcXG7nmM450tnuCnHVLiLAK+99hp//vOfefXVV1m7di0vvfQS4P0j7f3332fv3r2A91PcV199db8/1AIpKyujsLCQo48+mtraWq6//nrGjBnDO++8w2233catt97Khg0b2oyhtraWrKwsJk+ezHvvvceECRN44403ANiwYQM5OTnk5OTwz3/+kz//+c9Bu2p+9dVXjBw5stm2+fPnM3bsWGbMmBFwbOVhhx3Gl19+2ebz7WlRUVH+4Q/SOYceeihRUVHMnj2bwsLCgH/kv/HGGzz66KO8/PLLvPPOO1x77bVkZWXx7rvvYq1lyZIl/mOTk5P561//yocffsg111zDbbfdxvbt27sUY6TkUWs2btxITEwM3/nOd/zbjjrqKL7++mv/Y+VY5Dj++OP59ttvWb9+PfX19SxfvrxZL66Ghgauv/56Ro0axZtvvsljjz3GM888w/vvvx/0PdhZHcnP1jTNMaDTedbW8+tInrWVYzt27GDjxo0cfvjh/m36XeZu7fn9snz5chYuXMg777zDLbfcwvnnn897771HWlpas0I/WJ62JZLy5Z577uHUU09lypQpDBkyhDPOOMO/L1LzpTPclGPueBYiXTR9+nSGDh1K//79OfPMM1mzZg0AQ4YM4aSTTuL1118H4P333ychIYHRo0e3eq2srCzGjBnDJZdcwimnnMLPf/5z/v3vf7Nv3z6uuOIKYmNjOf300xk3bhzLly9vM4bPPvuMuro6ZsyYQWxsLBMmTPDfPzo6mtraWr7++mtqa2sZMWIEycnJrcb2zTffNBuTddNNN7F8+XLefPNNpk6dyvXXX7/fJ7IHHHAA33zzTQdfUef16dOHPn36hDqMiNavXz+efvppAObMmcO4ceO44YYbmnWPmzZtGoMHD2bYsGGcdNJJpKSkcMwxx9CnTx/OPvts/vOf//iPnThxIkOHDiUqKopzzjmHQw45hFWrVnUqtkjKo2D27dvHAQcc0Gxbv379+Pbbb/2PlWORZfLkySxbtowPP/yQww47jKFDh/r3ff755+zevds/5CQ5OZmpU6eyfPnyoO/BzupIfrYUKMeATudZW8+vI3kWLMdqa2u59dZbmTJlCocddhig32W9QXt+v2RmZpKYmMiXX35JfX09mZmZxMbG8sMf/pCUlBT/ccHytDWRmC933HEHH330EX/9618ZP368fxhcJOdLZ7gpxxydnM4Ycw4wH4gGHrfW3t9i/9XAdUA9UAH8wlr7hW/fbcAVvn0zrbWvORmr9G6DBw/2f+/xeNi2bZv/8fnnn89zzz3H1KlTeeWVV9psbZ8/f/5+k6ps376dxMTEZp/4JSUlNbtPazFs376doUOHYozx7x8+fDgAhxxyCLNmzeJPf/oT69at4/vf/z6/+tWvmv0h2dRBBx3Evn37/I+PP/74Zs9z+fLlvPvuu2RmZvq3f/vttxx44IFBn7NErsMOO8w/mdr69eu57bbb+P3vf8/vf/97AAYNGuQ/tk+fPs0eezyeZu+nZcuW8fTTT7NlyxbAW7SWl5d3Kq5IyqNg4uPjmxXp4M2ppsW8ciyynHfeeVx22WWUlJQwZcqUZvu2bNnC9u3bGTNmjH9bfX09J510UtD3YGd1JD9bCpRj0Pk8a+v5dSTPWsuxhoYGbr/9dmJjY7n99tv92/W7zP3a8/tl2LBhQOD/7xMTE/3fB8vT1kRivoD3A4CTTjqJV155heeff57MzEzlSwRzrMXdGBMNPAKcCxwLTDPGHNvisCXW2hRrbSrwe+Ah37nHAj8BRgPnAAt91xPpcWeffTZr167lq6++4p133vHPBt0RQ4YMoaysjIaGBv+20tLSVguDpgYPHsy2bduw1jY7t9GkSZN4+umnef311zHGBJ0F9Mgjj+S///1vh2Jfv369f8yzuNthhx3G+eefz1dffdXhc7ds2cKcOXO4/fbbKSws5IMPPuCII45o9r7tqkjMo0MPPZS6ujr/fAIAX375ZbMuvsqxyDJ8+HBGjBhBYWEh48ePb7YvMTGRESNG8MEHH/i//vnPf/KnP/2pzfdgS3379qWystL/eOfOnd3/ZALobJ615/m1N88C5Zi1ljvvvJOdO3fyhz/8ocOTaCrPIld7f780FsGB3otlZWX+74PlaUeFa760VF9f3+4x7qB8CVdOdpU/DVhnrV1vra0BngXOb3qAtXZvk4cHAI3v3vOBZ6211dbaDcA63/VEelyfPn2YMGECv/71r0lJSSEpKanD1zj++OPxeDw8+eST1NbWsmLFCt555x3OOeecNs9NTU0lOjqa7OxsamtreeONN/j8888B7xiof/7zn9TU1Pi7AgUbxzN27Fg+/vhjAPbu3cv7779PdXU1dXV1vPLKK3zyySd8//vf9x9fXV3NF198EVbLskj3Wb9+PX/961/9f9CUlZWxfPlyTjjhhA5fq7KyEmOMf5msF154odvXgQ3HPALv3BfV1dU0NDTQ0NDgzynwtrj/8Ic/5JFHHmHfvn18+umnvPXWW/6eO8qxyHT33XfzxBNP7Nc9NSUlhQMOOIAnnniCqqoq6uvr+eqrr/j888+DvgcDOeqooygoKKC+vp733nuv2XvOSZ3Ns7aeX0fyrGWOAfzud79jw4YN/PGPf2w2e7Z+l7lP4/+pjV/ffPNNh36/pKamEhUVxZIlS6irq+Mf//hHs271wfK0o8IxX3bu3Mny5cvZt28f9fX1vP/++yxfvpzTTz9d+RLhnOwqPwJo+tHOZuD0lgcZY64DbgbigLObnNt06sTNvm0tz/0F8AugU8WUSHtNmTKF3Nxc7r777k6dHxsbyx//+EfuuecennjiCYYOHcq9997rH5/X1rnz5s1jzpw5PPzww4wdO9bfylNTU8O8efNYv349MTExpKamctdddwV9HlOnTqWqqoq6ujoefvhhNmzYQHR0NCNHjmTevHnNJtF6++23OfXUU9vVoimR54ADDuDf//43Tz/9NN988w0HHnggZ5xxBrfcckuHr3X44Ydz6aWX8tOf/pSoqCjOO+88UlNTuzXecMwjj8fDo48+2qyl5pVXXuGaa67h2muvBbzjDH/zm99w5pln0r9/f+644w6OOOIIQDkWqVobaxodHc0f//hH/t//+3+cc8451NTUMHLkSK6//vqg78FAbr31VmbPns2zzz7L2Wefzdlnn93qsd2ps3nW1vPrSJ61zLEtW7bwt7/9jbi4OM4880z/cXfeeSdjxozR7zKXafy/s9HPf/7zDv1+aXwv3nXXXcyfP58f/OAHjBs3zj/LerA87ahwzBdjDM899xy/+93vaGhoICkpiVmzZnHWWWexa9cu5UsEM93ZjbHZhY2ZCpxjrb3S93gGcLq1NmBWGGOmAxOttZcaY/4IfGStXezb9wSw3Fq7tLX7jR492j733HPd/jxEwNt9acqUKbz11lv069cv1OF0yfz58xk4cCAzZsxo89jp06fz29/+liOPPLIHIuuY6Gjv6Bm3LPEhkaUjeRSMckwksO7KMVCeifc9cNFFF3HhhReGOhRH9JZ86YxIy7GUlJSV1tpTAu1zsnD/HjDHWjvR9/g2AGvtfa0cHwXsttb2b3msMeY137U+bO1+KtzFKQ0NDTz44INUVFTwu9/9LtThiIiIiEgQK1asYOTIkSQkJJCfn8/vfvc7li9fzpAhQ0IdmkhQwQp3J7vKrwCONMaMBErwTjY3vekBxpgjrbWNsyBNAhq/XwYsMcY8BAwHjgT+5WCsIgHt27ePM888k+HDh/PnP/851OFIE41jvZpOCCMi3Uc5JuI85Zkz/vvf//LLX/6SyspKDj74YB566CEV7b2Um3LMscLdWltnjLkeeA3vcnBPWmtXG2PuBj621i4DrjfG/BCoBXYDl/rOXW2MeR74AqgDrrPWRkb/BnGV+Ph4/vUvfWYUjhrX5Gw667KIdB/lmIjzlGfOuOiii7joootCHYaEATflmKPruFtrC4CCFtvubPJ9VpBz5wJznYtOREREREREJPw5uRyciIiIiIiIiHSRCncRERERERGRMKbCXURERERERCSMOTrGXUTEKTU1NaEOQcTVlGMizlOeiTjLTTmmwl1EIlJ9vRaaEHGSckzEecozEWe5KcfUVV5EIlJ0dDTR0dGhDkPEtZRjIs5Tnok4y005psJdRCJSXFwccXFxoQ5DxLWUYyLOU56JOMtNOabCXURERERERCSMqXAXERERERERCWMq3EVERERERETCmAp3ERERERERkTCmwl1EIlJ1dTXV1dWhDkPEtZRjnZef358JE0Zx/PGjmTBhFPn5/UMdkoQp5ZmIs9yUY1rHXUQiUkNDQ6hDEHE15Vjn5Of3Z86cEVRVedtGSkvjmDNnBACTJu0JZWgShpRnIs5yU46pxV1EIpKb1uUUCUfKsc6ZP3+Yv2hvVFUVxfz5w0IUkYQz5ZmIs9yUYyrcRSQiuWldTpFwpBzrnLKyWO83yR94v1puF2lCeSbiLDflmAp3ERERkW6SmFjboe0iIiLtocJdREREpJtkZW3F42k+ptLjaSAra2uIIhIRETfQ5HQiIiIi3aRxAroHn61l584YkpJqyMraqonpRESkS1S4S6vy8/szf/4wyspiSUys1R8eIiIi7TBp0h5GfLcYgNRBWgpORES6ToW7BKTlbCTcuWVNTpFwpRzrmiGeIaEOQSKA8kzEWW7KMY1xl4C0nI2Eu4aGBletzSkSbpRjXTPigBGMOGBEqMOQMKc8E3GWm3JMhbsEpOVsJNy5aV1OkXCkHOuaeltPva0PdRgS5pRnIs5yU46pcJeAtJyNhDs3rcspEo6UY12zatcqVu1aFeowJMwpz0Sc5aYcU+EuAWk5GxERERERkfCgyekkIC1nIyIiIiIiEh5UuEurtJyNiIiIiIhI6Klwl6C0nI2IiIiIiEhoqXCXoLSUjYSrqqqqUIcg4mrKsa5J7JsY6hAkAijPRJzlphxT4S5BNS5lE23csYyCuIe1NtQhiLiacqxrEuNVuEvblGciznJTjmlWeQlKy9lIuIqJiSEmRp89ijhFOdY1tQ211DZoCVUJTnkm4iw35ZgKdxGJSLGxscTGxoY6DBHXUo51zerdq1m9e3Wow5AwpzwTcZabckyFu4iIiIiIiEgYU+EuIiIiIiIiEsZUuIuIiIiIiIiEMXeM1BfHaDkbERERERGR0FLhLkFpORsJV25al1MkHCnHumZ4/PBQhyARQHkm4iw35ZgKdwmqcSmb2Ch3zMYo7uGmdTlFwpFyrGuG9h0a6hAkAijPRJzlphzTGHcJSsvZSLhy0/IeIuFIOdY1VfVVVNW7p6VHnKE8E3GWm3JMhbuIRKSYmBhiYtRpSMQpyrGuWVO+hjXla0IdhoQ55ZmIs9yUY+54FiIiIiJhoLi4mCVLlvDSJy9RUVHBgIoBpKWlMX36dJKTk0MdnoiIRCi1uIuIiIh0g8LCQjIzM/F4PNx11108uehJFi9ejMfjITMzk8LCwlCHKCIiEUot7iIiIiJdVFxczOzZs1mwYAGpqakU7SwCIDk5maysLMaNG8fMmTPJzs5Wy7uIiHSYWtwlqOHxw7WkjYiISBuWLFlCRkYGqampAfenpqaSnp5OTk5OzwYmIiKuoMJdghrad6iWtJGwVFlZSWVlZajDEHEt5VjHFBQUkJ6e7n988AEHc/ABBzc7JiMjg4KCgp4OTcKY8kzEWW7KMXWVl6Aal7LxRHtCHImIiEj4Ki8vJykpyf94sGfwfsckJiZSXl7eg1GJiIhbqMVdgtJyNhKu3LQup0g4Uo51TEJCAqWlpUGPKSsrIyEhoWcCkoigPBNxlptyTIW7iEQkN63LKRKOlGMdk5aWRl5eXtBjcnNzSUtL66GIJBIoz0Sc5aYcU+EuIiIi0kXTp08nNzeXoqKigPuLiorIy8tj2rRpPRuY9FonnHACU6dO5cILL+Tmm2/u0DjfNWvW8O677/ofv/XWWzz++ONBz3nxxReZO3dup+NtS0lJCRdeeCEAq1ev5r777uuW6z7//PMsW7asXcd25jk+9thj/u/37t3Ls88+26HzA5k4cSK7d+/u8nXa4ze/+Q3jxo3zv/aBrF+/nszMTE466SSeeuqp/fbX19dz0UUXcd111zkYqfupcBcRERHpouTkZObOncvMmTOZN28excXF1NbWUlxczLx585g5cyZz587VUnDSY/r06cPSpUt54YUXiI2N5fnnn2/XeXV1daxZs4bCwkL/trPOOosrr7zSqVA7bPTo0dx2223dcq2LL76YKVOmdMu1AmlauH/zzTc899xzHTrfWktDQ0N3h9Vu559/Pn/605+CHtO/f39uu+02LrvssoD7Fy9ezMiRIx2IrndxR78BERERkRAbO3Ys2dnZ5OTkMGPGDMrLy0lISCAtLU3rt0tInXzyyaxdu5a3336bRx99lNraWvr378/999/P4MGDWbhwIcXFxWzevJmkpCQ+/fRTqqur+fTTT7nyyiupqqpi9erVzJ49u9VrtKbx2ps2baK8vJzLL7+cqVOnYq3loYce4r333gPgqquu4pxzzml1e1MrVqzgqaee4pFHHmHhwoWUlpayefNmSktLmTFjBpmZmQD8+c9/Jj8/nwEDBpCYmMixxx67X3G5cOFC4uPjueyyy8jOzub5558nOjqaww8/nAcffHC/51NWVsbll1/Otm3bmDx5Mtdccw0AL7/8MkuWLKG2tpaUlBTuuOMOFixYQHV1NVOnTuXwww+noaGB4uJipk6dyve+9z1uueUWFi1axGuvvUZNTQ3jx4/nuuuuo6SkhKuvvpqUlBS++OILFi5cyPDhzZdnXrRoEYWFhXg8Hh544AEGDRpERkYGL7/8MrGxsVRUVDB16lT/48465ZRTKCkpCXrMoEGDGDRoULNeGk1fr8LCQn7+85/z9NNPdzoOUeEubWi5lI2IiIi0Ljk5mVmzZjFr1qxQhyICeFvQCwsL+cEPfsCJJ55IdnY2xhhyc3NZtGgRv/rVrwD4+uuvefrpp/F4PLz44ov+Qh28XcQbBbtGa9auXUt2djaVlZVcdNFFnHHGGXz22WesWbOGpUuXsnv3bqZNm8bJJ59MUVFRwO3BbNiwgSeffJJvv/2W8847j4svvpgvv/ySN954g6VLl1JXV8fFF1/MscceG/Q6TzzxBK+++ipxcXHs3bs34DGff/45L7zwAh6Ph2nTpnHGGWfQt29fXnvtNZ5++mliY2O55557yM/P56abbiInJ4elS5cC3u7+69at8z/+4IMP2LhxIzk5OVhrueGGG/j4449JSkpi48aN3HPPPZxwwgkB4+jXrx8vvPACy5Yt44EHHuCRRx7hlFNO4d1332X8+PEsX76c8ePH71e0v/LKKwG7sx9yyCE89NBDQV+fzvj973/PTTfdxL59+7r92r2No4W7MeYcYD4QDTxurb2/xf6bgSuBOmA78DNr7Ubfvnpgle/QTdZa5/qwSKsCLWcjEg7csianSLhSjok4z8k8a2zpBTjppJNIT09nw4YN/OpXv2L79u3U1dUxYsQI//FnnXUWHk/by/9u3bq11Wu0pvHaHo+H0047jVWrVvHJJ5+QlpZGdHQ0gwcP5pRTTuHzzz9vdfuoUaNavf4ZZ5xBXFwccXFxDBw4kJ07d/Lpp59y1lln0adPH/r06cO4cePajHPUqFHceuutnHXWWYwfPz7gMd/73vf8q0OMHz+eTz75hOjoaL744gv/HBbV1dUMHDiwzft98MEHfPjhh1x00UUA7Nu3j02bNpGUlMTw4cNbLdoBzj33XP+/v//97wHIyMjgySefZPz48bz44ovMmTNnv/MmT57M5MmT24ytO7zzzjsMHDiQ0aNHs2LFih65Z0tu+l3mWOFujIkGHgF+BGwGVhhjlllrv2hy2KfAKdbafcaYa4DfAz/27au01qY6FZ+0z74676dj8THxIY5ERERERNqrcYx7U/fddx+XXHIJZ511FitWrGDhwoX+fX379m3XdYNdozXGmKCPuyouLs7/fXR0NPX19Z26ziOPPMLKlSt5++23eeyxx8jLy9tvRvJAz8Vay5QpU7jxxhs7dD9rLVdccQUXX3xxs+0lJSVt/jyaxtH4/YknnsiWLVtYsWIFDQ0NHHnkkfud15Mt7p9++ilvvfUWhYWFVFdX8+2333Lrrbdy//33t32y7MfJyelOA9ZZa9dba2uAZ4Hzmx5grX3LWtvYb+IjQP2yw8zaPWtZu2dtqMMQ2U/jJ+si4gzlmIjzejrPKioqGDp0KAAvvfRSq8cdcMABrXZtbu81mnrrrbeorq6mvLycFStWcNxxx3HyySfz6quvUl9fz65du1i5ciUpKSmtbu+oE088kXfeeYfq6mr27dsXcPx1Uw0NDZSVlXHaaadx0003UVFREfA1+PDDD9mzZw9VVVX84x//4MQTT+S73/0uf//739m5cycAe/bsYcuWLYB3ObLa2lrA+7p+++23/mt9//vf58UXX/TfZ+vWrf5rtOXVV1/1/9u0ZX7KlCn8+te/5oILLgh43uTJk1m6dOl+X050k7/xxht58803ee2113jwwQc57bTTerxod9PvMie7yo8Aips83gycHuT4K4DlTR57jDEf4+1Gf7+19sVuj1BEIlZ0dHSoQxBxNeWYiPN6Os+uueYabrnlFg466CBOP/30VicdO+2003jiiSeYOnXqfrPJt/caTY0aNYqf/exnlJeXc9VVVzF06FDGjx/PZ5995u/Of/PNNzN48OBWt7fnPk0dd9xxnHnmmWRkZDBo0CCOPPJI+vXr1+rx9fX13HbbbXzzzTeAd4nHgw46KOB1b7rpJrZu3crkyZMZPXo0ADfccANXXXUVDQ0NxMTEMHv2bIYPH87UqVPJyMjgmGOO4YEHHiA1NZULL7yQH/zgB9xyyy3+pdQA4uPjuf/++4mKarttde/evaSnpxMXF+fvKg8wadIkHn74YX9X+q6aNWsWK1asoLy83D95Xnp6un+VgosvvpgdO3bw4x//mG+//ZaoqCieeeYZXnrppaCvd09x0+8yY6115sLGTAXOsdZe6Xs8AzjdWnt9gGN/ClwPjLPWVvu2jbDWlhhjDgP+AYy31n7d4rxfAL8ASEpKOvn111935Ln0ZkU7iwBIHZQa0jhEWmrsQuamsUsi4UQ5JuK83pBnTWdt72n79u0jPj6eyspKLrvsMu666642J6iLdK+//jpvvfVWt61zH+kiLcdSUlJWWmtPCbTPyRb3EqDpuicH+7Y1Y4z5ITCbJkU7gLW2xPfvemPM28CJQLPC3Vr7KPAowOjRo535BEJERERERCLOnDlzWL9+PdXV1Zx//vmuL9rvvfde3nvvvXbNOyCRx8nCfQVwpDFmJN6C/SfA9KYHGGNOBP6Ct2V+W5PtA4B91tpqY8xg4Pt4J64TEREREZEIce2114bs3k27kPcGt99+e6hDEAc5Vrhba+uMMdcDr+FdDu5Ja+1qY8zdwMfW2mXAg0A/4G++2RAbl307BviLMaYB7wR697eYjV56yCH9Dgl1CCIiIiIiIr2ak7PKY60tsNaOstYebq2d69t2p69ox1r7Q2vtMGttqu9rim/7B9baFGvtCb5/n3AyTmndwD4DGdin7XUoRXpaZWVlxIxXEolEyjER5zmZZykpKTz44IP+x0899VRIulCXlJRw4YUXArB69epuG3v9/PPPs2zZsnYd++KLLzJ37twOXf+xxx7zf793716effbZDp0fyMSJE9m9e3eXr9Me7733Hueddx5paWk8/vjjAY954IEHmDp1KlOnTmXy5MmMGTMGgDVr1pCZmckFF1xAenq6fwb7SOSm32VOdpUXF6iorQCgX2zoZ4UUERERkfaJi4vjzTff5Morr2TAgAGhDgeA0aNH+2dh76qWa593t8cee4yf//znAHzzzTc899xz/OQnP2n3+dZarLXtmiG+u9XX1zN37lweffRREhMT+clPfsJZZ53F4Ycf3uy4X//61/7vs7OzWbNmDQAej4d7772XQw89lG3btvHjH/+YMWPGBJxlX3qOCncJat3edYBmlZfw07gmZ01NTYgjEXEn5ZiI85zMs+joaKZOncozzzzDzJkzm+0rKSnhzjvvZPfu3QwcOJDf/e53JCUlNTtm4cKFFBcXs2nTJsrLy7n88suZOnUq1loeeugh3nvvPQCuuuoqzjnnnFa3N7VixQqeeuopHnnkERYuXEhpaSmbN2+mtLSUGTNm+JdF+/Of/0x+fj4DBgwgMTGRY489dr9Z6ZvOVp+dnc3zzz9PdHQ0hx9+eLOeBo3Kysq4/PLL2bZtG5MnT+aaa64B4OWXX2bJkiXU1taSkpLCHXfcwYIFC6iurmbq1KkcfvjhNDQ0UFxczNSpU/ne977HLbfcwqJFi3jttdeoqanxL5NWUlLC1VdfTUpKCl988QULFy5k+PDhzeJYtGgRhYWFeDweHnjgAQYNGkRGRgYvv/wysbGxVFRUMHXqVP/jzli1ahWHHHIIycneecLPPfdc3nrrrf0K96aWL1/un4/gO9/5jn/70KFDGThwILt3747Iwt1Nv8tUuItIRHLTupwi4Ug5JuI8p/PsJz/5CRkZGVx++eXNtt93331MmTKF888/nxdeeIH77ruPBQsW7Hf+2rVryc7OprKykosuuogzzjiDzz77jDVr1rB06VJ2797NtGnTOPnkkykqKgq4PZgNGzbw5JNP8u2333Leeedx8cUX8+WXX/LGG2+wdOlS6urquPjii9ucDf6JJ57g1VdfJS4ujr179wY85vPPP+eFF17A4/Ewbdo0zjjjDPr27ctrr73G008/TWxsLPfccw/5+fncdNNN5OTksHTpUsD7Qce6dev8jz/44AM2btxITk4O1lpuuOEGPv74Y5KSkti4cSP33HMPJ5xwQsA4+vXrxwsvvMCyZct44IEHeOSRRzjllFN49913GT9+PMuXL2f8+PH7Fe2vvPIKTz311H7XO+SQQ3jooYeabdu2bRuJiYn+x8OGDePf//53q6/fli1bKCkp4fTTT99v36pVq6itrfV/CBBp3PS7TIW7iIiIiIgL9evXj/POO4/s7Gw8Ho9/+2effcYf/vAHACZPnrxf4dforLPOwuPx4PF4OO2001i1ahWffPIJaWlpREdHM3jwYE455RQ+//zzVrePGjWq1fjOOOMM4uLiiIuLY+DAgezcuZNPP/2Us846iz59+tCnTx/GjRvX5vMcNWoUt956K2eddRbjx48PeMz3vvc9EhISABg/fjyffPIJ0dHRfPHFF0ybNg2A6upqBg5se26nDz74gA8//JCLLroI8K4Xv2nTJpKSkhg+fHirRTt4W78b/22c9T4jI4Mnn3yS8ePH8+KLLzJnzpz9zps8eTKTJ09uM7bOWL58OT/60Y/2K3K3b9/O7bffzj333BOSLv/SnAp3ERERERGXmjFjBhdffDEXXHBBh8/1rfrU6uOuauzGDN6W0fr6+k5d55FHHmHlypW8/fbbPPbYY+Tl5RET07zMCfRcrLVMmTKFG2+8sUP3s9ZyxRVX7DfOvqSkhL59+wY9t2kcjd+feOKJbNmyhRUrVtDQ0MCRRx6533kdaXEfOnQoZWVl/sdbt25l2LBhrcb06quvMnv27GbbKioquO6667jhhhuCfhAhPUcfnYiIiIiIuFT//v2ZOHEieXl5/m2pqan+mcLz8/M56aSTAp771ltvUV1dTXl5OStWrOC4447j5JNP5tVXX6W+vp5du3axcuVKUlJSWt3eUSeeeCLvvPMO1dXV7Nu3j3fffTfo8Q0NDZSVlXHaaadx0003UVFRwb59+/Y77sMPP2TPnj1UVVXxj3/8gxNPPJHvfve7/P3vf2fnzp0A7Nmzhy1btgAQExNDbW0tAAcccADffvut/1rf//73efHFF/332bp1q/8abWl83V999dVmBfGUKVP49a9/3eoHLJMnT2bp0qX7fQXqLXHcccexceNGNm/eTG1tLcuXL+fMM88MeN3169ezd+/eZrHU1tZy4403ct555zFhwoR2PS9xnlrcJaiRB44MdQgiAVlrQx2CiKspx0Sc11N5dskll5CTk+N/fNttt/Gb3/yGRYsW+SenC2TUqFH87Gc/o7y8nKuuuoqhQ4cyfvx4PvvsM6ZOnQrAzTffzODBg1vdXlJS0qFYjzvuOM4880wyMjIYNGgQRx55JP36tb66UX19PbfddhvffPMNANOnTw84idpxxx3HTTfdxNatW5k8ebJ/dvsbbriBq666ioaGBmJiYpg9ezbDhw9n6tSpZGRkcMwxx/DAAw+QmprKhRdeyA9+8ANuueUW1q9f759MLz4+nvvvv79d3cn37t1Leno6cXFx/q7yAJMmTeLhhx/2d6XvipiYGG6//Xauvvpq6uvrufDCCzniiCMA+OMf/8jo0aM566yzAO8HCOecc06zngCvvvoqK1eupLy8nJdeegmAe+65h6OPPrrLsfU0N/0uM255MqNHj7bPPfdcqMMQEREREYl4TWdt72n79u0jPj6eyspKLrvsMu666642J6iLdK+//jpvvfVWt61zL5EpJSVlpbX2lED71OIuQe2p2QNA/7j+IY5ERERERHqDOXPmsH79eqqrqzn//PNdX7Tfe++9vPfeeyxcuDDUoUgYU4u7BFW0swjQOu4Sfvr06QN4Z4AVke6nHBNxnvJMxFmRlmNqcRcR19GyJCLOUo6JOE95JuIsN+WYe56JiIiIiIgAcMIJJzB16lQuvPBCbr75ZiorK9t97po1a5rN5v7WW2/x+OOPBz3nxRdfZO7cuQG3n3HGGUydOpXzzz+fpUuXBr3O5ZdfzurVqwGYOHEiu3fvBuCnP/1pu+MPpLa21r98W0pKCg8++KB/31NPPeVoN/WSkhIuvPBCAFasWMF1110HtO91dcrVV1/NmDFj/LE0mj17Nueccw5Tp05l6tSprFmzBoBFixb5t1144YWccMIJ7NmzZ7/rWmtZsGABkydPZsqUKWRnZwPeGfuzsrJIT09n2rRpfPXVVwDs2rWLSy65hAsvvJA333zTf50bbriBbdu2OfX0I5Ja3EVEREREXKZPnz7+IvnXv/41zz//PJdeemmb59XV1bFmzRpWr17NGWecAcBZZ53ln4W8MyZOnMjs2bPZuXMnF154IWeeeSaDBw/u0DUWL17c6fsDfPrpp6SmpgLe9ePffPNNrrzySgYMGNCl63ZFV1/Xrrjsssuoqqrib3/72377br755v2Wgbv88su5/PLLAXj77bd55pln6N9//zmwXnzxRcrKyli2bBlRUVH+ZfIef/xxjj76aObPn8/69eu59957efzxx1m+fDkXXXQRP/zhD7n22msZP348b7/9NscccwxDhw514JlHLhXuIiIiIiIudvLJJ7N27VrefvttHn30UWpra+nfvz/3338/gwcPZuHChRQXF7N582aSkpL49NNPqa6u5tNPP+XKK6+kqqqK1atXM3v27Fav0R6DBg0iOTmZ0tJS1q1bx//93/9RV1fHcccdx29+8xvi4uJaPfe0007jX//6FytWrGDhwoUMGDCAr776imOPPZb7778fYwzvvvsuDz74IH379uXEE09k8+bNPPLIIwC89957/OAHPwAgOjqaqVOn8swzzzBz5sxm9ykpKeHOO+9k9+7d/qXykpKSmh3T+Hpt2rSJ8vJyLr/8cqZOnYq1loceeoj33nsPgKuuuopzzjmn1ef04osv+l/X2bNn069fP1avXs2OHTv8xXNDQwP33nsv//znP0lMTCQmJoYLL7ywy+urf/e732XFihWdOregoKDVZeuef/55HnjgAX8X9UGDBgHw9ddfc8UVVwBw2GGHUVJSwo4dO4iJiaGqqoqamhqio6Opq6tj8eLFPPzww52Kzc3UVV6COuKgIzjioCNCHYbIfqy1rlqbUyTcKMdEnNcTeVZXV0dhYSFHHnkkJ554ItnZ2fztb3/j3HPPZdGiRf7jvv76ax577DF+//vfc9111zFx4kSWLl26X+EZ7BptafxwYNiwYdxxxx08+OCDvPDCC9TX19ORSabXrFnDrFmzeOmll9i8ebP/g4a7776bP/3pTzz//PP+LvaNVqxYwamnnup//JOf/IT8/Hz/+u+N7rvvPqZMmUJeXh6TJk1qdXm2tWvX8sQTT7B48WL+/Oc/s23bNt544w3WrFnD0qVLeeyxx/i///s/tm/f3u7ntX37dp5++mkeeeQR5s2bB8Abb7xBSUkJL730Evfddx+fffZZwHObdmVv+tWZ5eUefvhh0tPTeeCBB6ipqWm2r7Kykvfff58f/ehHAc8tLi7m1Vdf5cc//jFXX301GzduBOCoo47ijTfeAGDVqlWUlpaydetW0tLSeOutt/jFL37BlVdeyXPPPcfkyZPp27dvh+MOxE2/y9TiLkH1i+0X6hBEAqqqqgp1CCKuphwTcZ6TeVZdXc3UqVMBOOmkk0hPT2fDhg386le/Yvv27dTV1TFixAj/8WeddRYej6fN627durXVa7Tmtdde49NPPyUuLs7fmj1ixAi+853vADBlyhSeffZZZsyY0a7ndtxxx5GYmAjA0UcfTUlJCfHx8Rx88MEcfPDBAJx77rn+oQJbt26lf//+zYrBfv36cd5555Gdnd3seX/22Wf84Q9/AGDy5Mk89NBDAWNofL08Hg+nnXYaq1at4pNPPiEtLY3o6GgGDx7MKaecwueff86oUaPa9bzOPvtsoqKiOPzww/1dzD/99FMmTJhAVFQUgwcP5rTTTgt4btOu7F1x4403MnjwYGpra/ntb3/LE088wTXXXOPf/84773DiiScG7CYPUFNTQ58+fXjuued44403uPPOO/nrX//KFVdcwf3338/UqVM58sgjOfroo4mOjubAAw/0zy+wZ88ennjiCebPn8+cOXPYu3cvl1xyiX+IQ2e46XeZCncJalf1LgAG9hkY4khEREREpL2ajnFvdN9993HJJZdw1lln+bucN2pvC2ewa7SmcYx7oy+//LKdzyKwpl3qo6KiqK+vD3r8+++/z5gxY/bbPmPGDC6++GIuuOCCDsdgjAn6uDOaPq+OthIvWrSI/Pz8/baffPLJ3Hbbbe2+zpAhQ/yxXHDBBTz11FPN9i9fvrzVbvIAw4YNY/z48QCMHz+e3/zmN4D3g5J77rkH8D63c845x/8hS6O//OUv/OIXv6CgoIATTzyRH/3oR9x000385S9/aXf8bqau8hLUpopNbKrYFOowRPbTp08f/9qcItL9lGMizuvpPKuoqPBP+PXSSy+1etwBBxzAvn37unSNYL7zne+wZcsWNm3y/o358ssvc8opAZeu7tA1N2/eTElJCQCvvvqqf1/T8e1N9e/fn4kTJ5KXl+fflpqa6j83Pz+fk046KeD93nrrLaqrqykvL2fFihUcd9xxnHzyybz66qvU19eza9cuVq5cSUpKSpeeV2pqKm+88QYNDQ3s2LGj1XHpl19+OUuXLt3vqyNFO+Dv2m+t5R//+AdHHPG/IbPffPMNH3/8cdAJ9c4++2x/jB9//DGHHnooAHv37qW2thaA3NxcTj75ZPr1+1/P3o0bN7J161ZOPfVUqqqqiIqKwhjT5RZzN/0uU4u7iEQkN63LKRKOlGMizuvpPLvmmmu45ZZbOOiggzj99NP9RW5Lp512Gk888QRTp07lyiuv7NQ1gunTpw+/+93vuOWWW/yT0zUu1dZZHo+HO+64g6uvvpq+ffty3HHHAVBfX09xcTGHHXZYwPMuueQScnJy/I9vu+02fvOb37Bo0SL/5HSBjBo1ip/97GeUl5dz1VVXMXToUMaPH89nn33mH6Jw8803M3jw4E69Ro1+9KMf8c9//pPzzz+fxMREjjnmmGYFb2ddeumlbNiwgX379jF+/Hjuvvtuvv/973Prrbeya5e3x+1RRx3FnXfe6T/nzTffZMyYMcTHxze71jXXXMNvf/tbhg4dyhVXXMGtt97K008/TXx8PL/97W8BWL9+PXfccQfGGA4//HD/9kYLFizwTxR47rnnkpWVxRNPPLHfcnUd5abfZcYtg/VHjx5tOzKphbRP0c4iAFIHpYY0DpGWGrv0dWRdWhFpP+WYiPOUZ91r3759xMfHY61l7ty5HHLIIRx33HG88sorzQrQrlq4cCHx8fFcdtll3XbNYBqfV3l5OdOmTeOZZ57p8HJ6vVWk5VhKSspKa23A7idqcRcRERERkYi3dOlSli1bRm1tLUcffTQXXXQRffv2bbW7e6S47rrr+Oabb6itreWqq65S0d5LqcVdglKLu4SrSPsEVSTSKMdEnKc8E3FWpOWYWtyl00b1b9/yFSI9zS0fOoqEK+WYiPOUZyLOclOOqXCXoOJj4ts+SCQE3LQup0g4Uo6JOE951jvk5/dn/vxhlJXFkphYS1bWViZN2hPqsHoFN+WYCncJakfVDgAGezSWRkRERESkI/Lz+zNnzgiqqryzm5eWxjFnzggAFe/SIe6ZH18csfnbzWz+dnOowxDZj8fjwePxhDoMEddSjok4T3nmfvPnD/MX7Y2qqqKYP39YiCLqXdyUY2pxF5GIZIwJdQgirqYcE3Ge8sz9yspivd8kf+D9t3hM8+3iKDflmFrcRUREREREHJCYWNuh7SKtUeEuIiIiIiLigKysrXg8Dc22eTwNZGVtDVFEEqnUVV5ERERERMQBjRPQPfhsLTt3xpCUVKNZ5aVTVLhLUEcnHB3qEEQCamhoaPsgEek05ZiI85RnvcOkSXsY8d1iAFIH9Q9xNL2Lm3JMhbsE5Yl2xyyM4j7V1dWhDkHE1ZRjIs5TnvUeQzxDQh1Cr+SmHFPhLkFtq9wGwNC+Q0MciYiIiIhIZBpxwIhQhyARToW7BLVl3xZAhbuEn8Y1OauqqkIciYg7KcdEnKc86z3qbT0A0SY6xJH0Lm7KMRXuIhKR3LQup0g4Uo6JOE951nus2rUKgNRBqaENpJdxU45pOTgRERERERGRMKbCXURERERERCSMqXAXERERERERCWMa4y5BjR4wOtQhiATkpnU5RcKRckzEecoz9ysuLmbJkiW89MlLVFRUMKBiAGlpaUyfPp3k5ORQh+d6bsoxtbhLULFRscRGxYY6DJH9VFdXu2ptTpFwoxwTcZ7yzN0KCwvJzMzE4/Hwx7l/pODZAhYvXozH4yEzM5PCwsJQh+h6bsoxtbhLUGX7ygBIjE8McSQiIiIiIpGhuLiY2bNns2DBAlJTU/+340DIyspi3LhxzJw5k+zsbLW8S7uoxV2CKqsso6yyLNRhiOzH4/H41+YUke6nHBNxnvLMvZYsWUJGRoa/aK9tqKW2oda/PzU1lfT0dHJyckIUYe/gphxT4S4iEckY46q1OUXCjXJMxHnKM/cqKCggPT3d/3j17tWs3r262TEZGRkUFBT0dGi9iptyTF3lRUREREREulF5eTlJSUn+x6mDUvc7JjExkfLy8p4LSiKaWtxFRERERES6UUJCAqWlpUGPKSsrIyEhoWcCkoinwl1ERERERKQbpaWlkZeXF/SY3Nxc0tLSeigiiXQq3CWolIEppAxMCXUYIvupr6+nvr4+1GGIuJZyTMR5yjP3mj59Orm5uRQVFQXcX1RURF5eHtOmTevZwHoZN+WYxrhLUNEmOtQhiARUU1MT6hBEXE05JuI85Zl7JScnM3fuXGbOnEl6ejoZGRkkJiZSVlZGbm4ueXl5zJ07V0vBOcxNOaYWdwmq5NsSSr4tCXUYIiIiIiIRZezYsWRnZ1NTU8OMGTM49dRTmTFjBjU1NWRnZzN27NhQhygRxFhrQx1Dtxg9erR97rnnQh2G6xTtLAICz4QpEkp9+/YFoLKyMsSRiLiTckzEecozEWdFWo6lpKSstNaeEmifusqLiIiIiHSj4uJilixZQkFBAeXl5SQkJJCWlsb06dPVNVpEOsXRrvLGmHOMMV8aY9YZY24NsP9mY8wXxph/G2PeNMYc2mTfpcaYr3xflzoZp4iIiIhIdygsLCQzMxOPx8PixYtZuXIlixcvxuPxkJmZSWFhYahDFJEI5FiLuzEmGngE+BGwGVhhjFlmrf2iyWGfAqdYa/cZY64Bfg/82BgzELgLOAWwwErfubudildEREREpCuKi4uZPXs2CxYsIDU11b89OTmZrKwsxo0bx8yZM8nOzlbLu4h0iJMt7qcB66y16621NcCzwPlND7DWvmWt3ed7+BFwsO/7icDfrbW7fMX634FzHIxVRERERKRLlixZQkZGRrOivanU1FTS09PJycnp2cBEJOI5WbiPAIqbPN7s29aaK4DlnTxXHJI6KFUT00lYctO6nCLhSDkm0nEFBQWkp6cHPSYjI4OCggJAeSbiNDflWFhMTmeM+SnebvHjOnjeL4BfACQlJTkQmYiEKzetyykSjpRjIh1XXl7e7G/SvkVFAFQ2aYFPTEykvLwcUJ6JOM1NOeZki3sJ0HTwzsG+bc0YY34IzAamWGurO3KutfZRa+0p1tpTBgwY0G2By/8UVxRTXFHc9oEiIiIivVxCQgKlpaX+x9WjRlE9alSzY8rKykhISOjhyEQk0gUt3I0x0caYNZ289grgSGPMSGNMHPATYFmL658I/AVv0b6tya7XgAnGmAHGmAHABN826WE7q3eys3pnqMMQ2U/fvn39a3OKSPdTjol0XFpaGnl5ef7HDfHxNMTHNzsmNzeXtLQ0QHkm4jQ35VjQwt1aWw98aYw5pKMXttbWAdfjLbj/AzxvrV1tjLnbGDPFd9iDQD/gb8aYImPMMt+5u4Df4S3+VwB3+7aJiIiIiISl6dOnk5ubS5Gvi3z0jh1E79jh319UVEReXh7Tpk0LUYQiEqnaM8Z9ALDaGPMv4NvGjdbaKa2f4j+mAChose3OJt//MMi5TwJPtiM+EREREZGQS05OZu7cucycOZP09HSuOOYYBg0axH8rK8nNzSUvL4+5c+dqKTgR6bD2FO6/cTwKEREREREXGDt2LNnZ2eTk5HD33XdTUVHBfwYMIC0tTeu3i0intVm4W2vfMcYMA071bfpXi/Ho4mJRxsn5C0VERETcJzk5mVmzZtF3wgSg+azyIiKd0Wbhboy5GO9Y9LcBAzxsjPmVtXapw7FJGDh+4PGhDkEkoLq6ulCHIOJqyjER5ynPRJzlphxrT1f52cCpja3sxpghwBuACneRCJKf35/584dRVhZLYmItWVlbmTRpT6jD6rTa2tpQhyDiasoxEecpz0Sc5aYca0/hHtWia/xOnF3/XcLIf7/5LwDfOfA7IY1DuiY/vz9z5oygqsqbuqWlccyZMwIgoot3ERGRcFZ19NGhDkFEXKI9hfurxpjXgBzf4x/TYqZ4ca/ymvJQhyDdYP78Yf6ivVFVVRTz5w+L2MK9cU3OysrKEEfS84qLi1myZAkFBQWUl5eTkJBAWloa06dP16RH0m16c46JdBfr8QTdrzwTcZabcixoy7kxxgALgL8Ax/u+HrXW/roHYhORblJWFuv9JvkD71fL7RIxCgsLyczMxOPxsHjxYlauXMnixYvxeDxkZmZSWFgY6hBFRMQnZts2YrZpTmcR6bqgLe7WWmuMKbDWpgB5PRSTiHSzxMRaSkvjAm6XyFFcXMzs2bNZsGABqU1mKE5OTiYrK4tx48Yxc+ZMLTfUi7ht7goRt4ndsgWAuqFDQxyJiES69oxV/8QYc2rbh4lIuMrK2orH09Bsm8fTQFbW1hBFJJ2xZMkSMjIymhXtTaWmppKenk5OTk7A/eIujXNXlJbGYa3xz12Rn98/1KGJiIhIN2tP4X468KEx5mtjzL+NMauMMf92OjAJD7FRscRGqTt1pJs0aQ9z5pQwaFAtYElKqmHOnBK1zEWYgoIC0tPTgx6TkZFBQYGmIekNgs1dISIiIu4StKu8b4z7L4CNPROOhJvRA0aHOgTpJpMm7WHEd4sBSB0U+S1yblqXs73Ky8tJSkryPzZVVUDzyY8SExMpLy/v6dAkBJrNXQFQPKb59i7qjTkm0tOUZyLOclOOBW1xt9Za4BFr7caWXz0Un4h0oyGeIQzxDAl1GN2itrY24tfmzM/vz4QJozj++NFMmDCqzS7OCQkJlJaW+h971qzBs2ZNs2PKyspISEhwIlwJM63NUdFdc1e4IcdEwp3yTMRZbsoxjXGXoNbvXc/6vetDHYZ0kxEHjGDEASNCHUa3MMbg7RQUmTozPjktLY28vODzhObm5pKWltbd4UoYcnruikjPMZFwUDV6NFWjW++9qDwTcZabckxj3CWovbV72Vu7N9RhSDept/XU2/pQh9EtPB4PnjbWxw1nnRmfPH36dHJzcykqKgq4v6ioiLy8PKZNm9adoUqYcnruikjPMZFwYGNjsbGtD19Rnok4y005FnSMu89Ex6MQkR6xatcqAFIHpYY2EOnU+OTk5GTmzp3LzJkzSU9P54pjjmHQoEEUFxeTm5tLXl4ec+fO1VJwvYjb5q4QcZvYsjIAahMTQxyJiES6VlvcjTFnA/jGs0e1GN9+ck8FKCLiRp0dnzx27Fiys7Opqanh7rvv5oorrmDGjBnU1NSQnZ3N2LFjnQhXwpib5q4QcZuYsjJifMW7iEhXBGtx/3/ASb7vc5t8D3AHEHygpYiItCoraytz5oygqsm29o5PTk5OZtasWUT/7GcA1A8e7FCUEgncMm+FiIiItC5Y4W5a+T7QY3GpuKi4UIcg4kqN45AffLaWnTtjSEqqIStra4fGJ6tgF8A/b0W0iQ5xJCIiIuKUYIW7beX7QI/FpY4dcGyoQxAJyA1Le3R1fHLUvn0ANMTHd2tcElmcmrvCDTkmEu6UZyLOclOOBSvcDzPGLMPbut74Pb7HIx2PTES6XWJf90yOU1dXF+oQukVXxib3WbsWgMrU1G6KRuR/3JJjIuFMeSbiLDflWLDC/fwm3/+/FvtaPhaXWrd3HQBHHHREiCOR7pAY757CvXFNTmsjuwOQxidLuHJLjomEUmVKStD9yjMRZ7kpx1ot3K217/RkIBKeKmorQh2CdKPaBm93odio1pccixSNa3JWVlaGOJKu0fhkCVduyTGRkIoO/n+78kzEWW7KsVaXgxMR91m9ezWrd68OdRjSxKpdq/xjlEVExF1iS0qILSkJdRgi4gLBusqLiIhImHPT3BUibhOzfTsAtSM0LEpEuqbdhbsxJt5au8/JYEREpP1qDjkk1CFIGHDT3BUiIiISWJtd5Y0xY4wxXwBrfI9PMMYsdDwyCQt9o/vSN7pvqMMQkQDqBw6kfuDAUIchIVbbUOufv0JEwkd+fn9uujGZS2aMZMKEUeTnd3zZTxGRRu1pcf8DMBFYBmCt/cwYc4ajUUnYOCrhqFCHIBJQTU1NqEMIuagK7+SRDf36hTgSCaXGeSu6ex135ZhI5+Xn92fOnBGcWFUMQGlpHHPmeLvLT5q0x3+c8kzEWW7KsXZNTmetLW6xqd6BWETEYcPjhzM8fniow+gW9fX11NdH/n9FiX0TOz1Guc+6dfRZt66bIxLxckuOiYTC/PnDqKpq/md2VVUU8+cPa7ZNeSbiLDflWHta3IuNMWMAa4yJBbKA/zgbloSLL8u/BNTy7hZD+w4NdQjdJirK+wdRQ0NDiCPpGo1PlnDllhwTCYWyMu+yqx8yJuD2RsozEWe5Kcfa0+J+NXAdMAIoAVKBax2MScJIZX0llfWRv+6heFXVV1FVXxXqMLpFnz596NOnT6jD6DKNT5Zw5ZYcEwmFxMTA/6+33K48E3GWm3KsPYX7UdbaTGvtMGvtUGvtT4FjnA5MRLrfmvI1rClfE+owpInVu1f7xyiLiIg7ZGVtxeNp3sLn8TSQlbU1RBGJSKRrT1f5h4GT2rFNREREephb5q0QcZPGCejmzx9GWVksiYm1ZGVtbTYxnYhIR7RauBtjvgeMAYYYY25ususgINrpwEREJLiakSNDHYKEATfNXSHiJpMm7VGhLiLdJliLexzQz3fMgU227wWmOhmUhI9+sVpmSiRc1ffXmsCCf94KT7QnxJGIiIiIU1ot3K217wDvGGOestZu7MGYJIwccdARoQ5BJCA3rcvZWdF7vC05KuB7t8Z5K7SOu0jkUZ6JOMtNOdaeMe5PGWNsy43W2rMdiEdEHHTwAQeHOoRu45Y1ObsyPjluwwYAKlNTuykakf9xS46JhDPlmYiz3JRj7Sncf9nkew+QAdQ5E46Emy92fwHAsQOODXEk0h0GewaHOoRu45Z1OTU+WcKVW3JMJJwpz0Sc5aYca7Nwt9aubLHpfWPMvxyKR8JEcXExS5Ys4aVPXqKiooIBFQNIS0tj+vTpJCcnhzo86aR9dfsAiI+JD3EkXde4JmdlZWWII+kajU+WcOWWHBMJZ8ozEWe5KcfaXMfdGDOwyddgY8xEQAMqXaywsJDMzEw8Hg933XUXTy56ksWLF+PxeMjMzKSwsDDUIUonrd2zlrV71oY6DGliTfka/xhlEREREZFA2tNVfiVgAYO3i/wG4Aong5LQKS4uZvbs2SxYsIDU1FSKdhYBkJycTFZWFuPGjWPmzJlkZ2er5V1EJAy4ae4KERERCaw9XeW1UHAvsmTJEjIyMkhtZbKr1NRU0tPTycnJYdasWT0bnIg0U32EVn0Qd81dISIiIoG1WrgbY9KDnWitzev+cKQ1+fn9mT9/GGVlsSQm1pKVtZVJk/Z0+30KCgpYvHix//FBsQftd0xGRgYzZsxQ4S4SYg39+oU6BAkDbpq7QkRERAIL1uJ+XpB9FlDh3kPy8/szZ84Iqqq8UxKUlsYxZ84IgG4v3svLy0lKSvI/Puygw/Y7JjExkfLy8m69r0hHuWldzs6K3rULgPqBA0MciYRS47wVWsddJPIoz0Sc5aYca7Vwt9Ze3pOBSOvmzx/mL9obVVVFMX/+sG4v3BMSEigtLQ06fr2srIyEhIRuva/0jEP6HRLqELqNW9bl7Mr45LhNmwCoVOEuDnBLjomEM+WZiLPclGPtmVW+vzHmIWPMx76v/zPGaFb5HlRWFuv9JvkD71fL7d0oLS2NvLzgnSlyc3NJS0vr9nuL8wb2GcjAPuFf5OXn92fChFEcf/xoJkwYRX7+/v/lREdHEx0dHYLoutdgz2CNUZaw5JYcEwlnyjMRZ7kpx9os3IEngW+Ai31fe4FFTgYlzSUm1nZoe1dMnz6d3NxcioqKAu4vKioiLy+PadOmdfu9xXkVtRVU1FaEOoygGoeGlJbGYa3xDw1pWbzHxcURFxcXoii7z766ff4xyiLhxC05JhLOlGciznJTjrWncD/cWnuXtXa97+u3wP4Dn8UxWVlb8Xgamm3zeBrIytra7fdKTk5m7ty5zJw5k3nz5lFcXExtbS3FxcXMmzePmTNnMnfuXC0FF6HW7V3Hur3rQh1GUMGGhrjR2j1r/WOURUREREQCac867pXGmB9Ya98DMMZ8H6h0NixpqnEc+4PP1rJzZwxJSTWOzSoPMHbsWLKzs8nJyWHGjBmUl5eTkJBAWlqa1m8XxzUbGgJQPKb5dhFpxk1zV4iIiEhg7SncrwH+6hvXboBdwGVOBiX7mzRpDyO+WwxA6iDnpxhITk5m1qxZWvJNelxiYi2lpft3aXJiaEikqx41KtQhSBiIhHkrIk1xcTFLliyhoKCg2YfX06dP14fXIiISEm12lbfWFllrTwCOB1KstSdaaz9zPjRpaYhnCEM8Q0IdhoijenJoSKRriI+nIV5rd/d2kTB3RSQpLCwkMzMTj8fD4sWLWblyJYsXL8bj8ZCZmUlhYWGoQxQRkV6ozRZ3Y0wW3snovgEeM8acBNxqrX3d6eCkuREHjAh1CCKOa+/QkOrq6lCEF1aid+wAoH6wZqXvzRrnrejuddx7Y44VFxcze/ZsFixYQGpqqn97cnIyWVlZjBs3jpkzZ2rYmHSb3phnIj3JTTnWnq7yP7PWzjfGTAQGATOAZwAV7j2s3nrXIYw27ljSQHreyANHhjqEdmnP0JCGhoaA2yNNV8Ynx23eDEClCvdeqbE790ufvERFRQUDKgZ0a3dut+RYRyxZsoSMjIxmRXtTqamppKenk5OTo6Fk0i16Y56J9CQ35Vh7ZpU3vn/TgKettaubbAt+ojHnGGO+NMasM8bcGmD/GcaYT4wxdcaYqS321Rtjinxfy9pzP7dbtWsVq3atCnUYEsH6x/Wnf5zzcyR0h7aGhrhlXc6BfQZqjLJ0WNPu3HfddRdPLnqy27tzuyXHOqKgoID09PSgx2RkZFBQUNBDEYnb9cY8E+lJbsqx9rS4rzTGvA6MBG4zxhwItPnRhTEmGngE+BGwGVhhjFlmrf2iyWGb8E5098sAl6i01qa2Iz4Raac9Nd7u5pFQvLc1NKRxTc7Kyshe5KJxbHK/2H4hjkQiRcvu3EU7i4Du787tlhzriPLycpKSkvyPTVUVANbj8W9LTEykvLy8p0MTl+qNeSbSk9yUY+1pcb8CuBU41Vq7D4gDLm/HeacB63xrv9cAzwLnNz3AWvtfa+2/accHASLSdRu+2cCGbzaEOox2qbf1/uEhbrZu7zr/GGWR9uhId27pmISEBEpLS/2PrcfTrGgHKCsrIyEhoYcjExGR3q49s8o3AN8B7jTG/B9whq/YbssIoLjJ482+be3lMcZ8bIz5yBhzQQfOExEX0NAQkcBaduceeeDI/eavaKs7d3FxMQ888ADjxo3jhBNOYNy4cTzwwAMUFxe3ek5vkJaWRl5env9xzLZtxGzb1uyY3Nxc0tLSejo0ERHp5dos3I0xC4GrgVXA58BVxphHnA4MONRaewowHZhnjDk8QGy/8BX3H+/evbsHQhIR6R6NhdO1117LJZdc0qnCqeroo6k6+mgHo5Rw1LI7d6C5K4J159ZyZ62bPn06ubm5FBUVARC7ZQuxW7b49xcVFZGXl8e0adNCFKGIiPRW7RnjfjZwjLXWAhhj/gp8EfwUAEqApoPrDvZtaxdrbYnv3/XGmLeBE4GvWxzzKPAowOjRo217rx2pEvsmhjoEkbDWOMt2QUEB5eXlJCQkdOss292lsLCQ2bNnk5GRwV133cWgwYMYVj2MvLw8MjMzmTt3LmPHjm3zOi278Erv0NidO9h7urXu3B1Z7mzUqFEORB/ekpOTmTt3LjNnziQ9PZ0rjjmGQYMGUVxcTG5uLnl5ecydOzes/j8REZHeoT1j3NcBTdcrSga+asd5K4AjjTEjjTFxwE+Ads0Ob4wZYIzp4/t+MPB92vdhgaslxieSGK/iXQS863I2XZszUloRmxZOWVlZDBs2jJjoGH/htGDBAmbPnt2ulvdA3XjF/Vp25w6kte7cHRkf3zLHeouxY8eSnZ1NTU0Nd999N1dccQUzZsygpqaG7Ozsdn2oJtJevTXPRHqKm3LM+BrS999hzMuABfoDpwL/8j0+HfiXtfbMNi9uTBowD4gGnrTWzjXG3A18bK1dZow5FXgBGABUAWXW2tHGmDHAX/BOWhcFzLPWPhHsXqNHj7bPPfdc2884gtU21AIQGxUb4kgkUkXSDOaNM2WnDkpt89ji4mIyMzP3a0X0X6uoqFtm2e4ODzzwAB6Ph6ysLCDwTP/z5s2jpqamzXWi+/q681a2UoSJO3Xl/T5u3DgWL14cNA+Ki4uZMWMGb7/9djdHHnmUYyIi0pNSUlJW+oaL7ydYV/n/F2Rfu7qlW2sLgIIW2+5s8v0KvF3oW573AZDSnnv0Jqt3rwbaV8iIBBIJBXujtoaGNK7JWV9f36FWxLaKYacVFBSwePFi/+NAS/NlZGQwY8aMkMcq4alld+6MjAwSExMpKytrszt3y/HxgTSOj2+aYyLiDOVZz4qUIXXSfdyUY612lbfWvhPoC6gHftxzIYpId9lVvYtd1btCHUa7tDU0JC4uzr82Z8tZtgNpa5btntKRwkmkNU27c8+YMYNTTz21Xd25Wy531reoyN+q3KhxfHzTHOutqkaPpmr06FCHIS6mPOs5kTKkTrqXm3KsPZPTYYw5Ee/s7hcBG4BcJ4MSEWdsqtgEwMA+A0McSds6MjSkaTGcn9+f9x9cz86dMWxIOpWsrK1MmrQnbIrhrkwsJtJUcnIys2bN6lDPjMbx8Y1DNQLRcmf/Y2M1NE3EDToyMada3iVctdribowZZYy5yxizBngY2IR3TPxZ1to/9liEItIrrd692j88pC2NxXB+fn/mzBnBjp2xWAylpXHMmTOC/Pz+YVMMd2ViMZGuarncWUta7qy52LIyYsvKQh2GiHRRR4bUiYSrYLPKr8G7FNxka+0PrLUP4+0mLyISVhqL4fnzh1FV1fy/taqqKObPHxY2xXB3Fk4d7cbbuHb8uHHjOOGEEzq1drxEtqbj4+fNm8e2rVupr6ujuLiYefPmMXPmTC131kRMWRkxKtxFIl4kDakTaU2wwj0dKAXeMsY8ZowZD5ieCUsCGR4/nOHxw0MdhkjYaSyGS0u93Vo/ZAwfMsa/v7Q0NmxaEVsWTsXFxdTW1naqcLKxse3uyquxfdJIy52JSG/Tcn6ZQPN7hMuQOpHWtLocnP8AYw4Azgem4W2Bfxp4wVr7uvPhtV9vWA5OpKs6ssRaqLUVqzHezxEb/w8rLCzk+usn0dBwyH7HRkVt4o9/zA+rgqS4uJicnJz9ZradNm1au1s7G7vw1iYGn4E/kpbLk54VW1ICQO2IEfvta5ljvZGWgxOnKc96RsulME2tdx6dph9+aylMd4q0HAu2HFybhXuzg40ZgHeCuh9ba8d3U3zdojcU7lX1VQB4oj0hjkQi1b66fQDEx8SHOJK2deZDhqefruOhh46hvr6Pf1t0dDU33/wfLrmkXXNxRpT2FhUt144PpL1rx4v0JircRdxBvwclUgQr3IN1ld+PtXa3tfbRcCvae4s15WtYU74m1GG0SeNow1d8THxEFO3Q9tCQmJgYYmKaF+OXXBLD3LnbSEqqwRhLUlINc+duc2XR3hEa2yetqq/3fgUQKMdEpHspz3pGy/llWk48qYk53ctNOeaOZyFho7CwkNmzZ5ORkcHixYtJSkqitLSUvLw8MjMzmTt3blh1V+4tiouLWbJkCa+89Qp79u5hQOwA0tLSmD59eth2jR7ad2jQ/bG+7m11dXXNtk+atIdJk/Y4FlckCjS2D5q3Ijo1tq/xvddySEA4v/d6k76rVgGBW5Rby7HepDIlJdQhiMspz3pG0/ll0tPTueKYYxg0aBDFtbXk5uaSl5eniTldyk051qEWd5Fgmq6RmZWVRXJyMjExMf41MhcsWMDs2bPV8t7Dmk5KdsdDd/Dki09GxKRkVfVV/uEh0jWNy+U1qh0+nNrhzXszOLFcnibEk4gXHe39EpGIp4k5JdJ1aIx7OOsNY9zDfWIxjR8KPy0nJWv5HgrnScnaer/37dsXgMrKyh6KKPyE8xh3TYgXGYK9h5RjwSfvE+kOyrPQ0PwVvUek5Vi3jXEXCUbjaMPPkiVLyMjICFg4AaSmppKenk5OTk7PBibdojIlpV1deVuO7TNVVZiq//VmcGJsn9574gYx27cTs317qMMQERFR4R5JDj7gYA4+4OBQh9EqrZEZfvRhisu1sxtvy7Xj977zDrGff96ptePbS+89ERERke6jyekiyGDP4FCHEFTjONpgf/w7MY5WWtfyw5RA3c4j9cOUqiqNf+9IN97GsX05OTncfffdVFRU8J8B3kkKneiuHsoJ8aT96hITW93X23MsP78/7z+YzM6dMWxIGkVW1lZNfCndrrfnWaho4snew005psI9goT7GtxpaWnk5eUFHUebm5tLWlpaD0bVu7n5wxS3zM/RFY1deNs7/jY5OZlZs2bRd8IEwNmxfW5+77lJbZDCvTfnWH5+f+bMGcGJVd7JVEtL45gzx5tnKt6lO/XmPAspTTrZa7gpx9RVPoKs3bOWtXvWhjqMVrUcR9uS1sjseY0fpgQTrh+mtDU0JDY21r/Eh4SfSH7v9SamthZTWxtwX2/Osfnzh1FV1fxPpKqqKObPHxaiiMStenOehVJsSYm/15q4m5tyTIW7dJuW42i3bd1KfV2do+NoJbhI/jBlsGdw0OEhMTExxMT03k5D+fn9uenGZC6ZMZIJE0aRn98/1CE1E8nvvd7Es3o1ntWrA+7rzTlWVub9I+9DxvAhY/bbLtJdenOehZImnuw93JRj7ngWEjaajqO99p572Lt3L3scHEcrwTX9MCU9PZ2MjAwSExMpKysjNzeXvLy8sP0wJdyHhoRSV7vx1hzs/CSXLd97084+m6FDh7K5uDjs33siiYm1lJbGBdwuIiISClrHPYKE+zruEr6Ki4vJycmhoKCA8vJyEhISSEtLY9q0aWFbOGkd99ZNmDCK0tI4vscHAP4WwaSkGl5/PbyG00Tie6830TrugTV+ONa0u7zH08CcOSUa4y7dqjfnWah4J55c75t48lRNPOlykZZjwdZxV4u7OKe+3vuvJgAJucZJyWbNmhXqUKQbNO3GG2h7W6L2eXszNMQ735uh8b136/XX99g9Rbqq8Y/4+fOHUVYWS2Jirf64F3EBTTwpkUyFewQ5pN8hoQ6hQ/quWgU4O3O1SG/U1W68fdZ6W+V7MjdDcU+Rrpg0aY/+kBdxmWATTyrfJdypcI8AxcXFLFmyZL+uptOnT1dXU+m1IqXLkxOysrYG7MablbU1hFFJJKodPrzVfb05x0R6ivKsZ3W1x5pEHjflmGaVD3OFhYVkZmbi8Xh49K+P8s5H77B48WI8Hg+ZmZkUFha2eY38/P5MmDCK448fHZazT4tIx0yatIc5c0pISqrBGEtSUo3G3kqn1A0dSt3QoaEOQ0SkR7TWM00TT0okUIt7GCsuLmb27NksWLCA1NRUinYW8d99/yU1OZWsrCzGjRvHzJkzg87W3nKCHY3lkUjR1tCQxjU5a1tZg9rt1I1XuoOpqgLAejz77evtOSbSE5RnPUs91nofN+WYWtzD2JIlS8jIyCC1lTGhqamppKenk5OT0+o1go3lEQlnA/sMZGCfga3ud9O6nCKh4lmzBs+aNQH3KcdEnKc861nqsdb7uCnH3PEsXKqgoIDFixcHPSYjI4MZM2a0Olu4f8xOsnfZKIrHNN/uoLrERMfvIe5VUVsBQL/YfiGOxH1qDun5iS5DcU8REZGW1GNNIpUK9zBWXl5OUlKS/3Gg9awTExMpLy9v9RpdnX26K2pVuEsXrNu7Dmh9HXfpvPqBrfdkcNM9RURERNxCXeXDWEJCAqWlpUGPKSsrIyEhodX9WVlb8Xgamm3rqbE8prYW44LxJCJuE1VRQVRFhevv2dM0EaiIiIg4RYV7GEtLSyMvLy/oMbm5uaSlpbW6v3Esz6BBtUDPjuXxrF6NZ/Vqx+8jIh3TZ906+qxb5/p79qTGiUBLS+Ow1vgnAlXxLiIiIt1BXeXD2PTp08nMzGTcuHEBJ6grKioiLy+P7OzsoNeZNGkPI75bDEDqIP0RKe7gpnU5JfIFmwg0nMdS1hx8cKv7lGMizlOeiTjLTTmmwj2MJScnM3fuXGbOnEl6ejoZGRkkJiZSVlZGbm4ueXl5zJ07t9Wl4Joa4hnSAxGLiPROoZwItCvqBw8OdQgiIiLSDircw9zYsWPJzs4mJyeHGTNmUF5eTkJCAmlpaUHXb29pxAEjHI5UpHuNPHBk0P1xcd5JF2tqanoiHJGgQjkRaFdE7dsHQEN8/H77lGMizlOeiTjLTTmmwj0CJCcnM2vWrFaXfGuPelsPQLSJ7q6wRBzVPy74sI7oaL2XJXxkZW1lzpwRVDXZ1lMTgXZFn7VrAagMMBxLOSbiPOWZiLPclGMq3HuJVbtWAT27tFbt8OE9di9xnz013nHBbRXw0nE1I4P3ZnDLPXtS4zj2B5+tZefOGJKSasjK2hrW49tFREQkcqhwF8fUDR0a6hAkgm34ZgOgddydUN+/5z8MCcU9e5omAhURERGnqHAXx5gqb6dR6/GEOBIRaSp6j7cVuCeL6VDcMxQ0EaiIiIg4Qeu4i2M8a9bgWbMm1GGISAtxGzYQt2GD6+8ZCiMOGKHJQEVERKTbqcVdRCKSm9blFPeItIlAaw45pNV9yjER5ynPRJzlphxT4d5LJPZNDHUIIiKuF4qJQLuifuDAUIcgIiIi7aDCvZdIjFfhLpHliIOOCLrfTetyioRKVEUFAA39+u23Tzkm4jzlmYiz3JRjKtx7idqGWgBio2JDHIlI+/SL3b+QaMpN63KKhEqfdesAreMuEirKMxFnuSnHVLj3Eqt3rwZ6tvtmzcEH99i9xH12Ve8CYGAfdeXtbtVHBO/N4JZ7ioiIiLiFCndxTP3gwaEOQSLYpopNgAp3JwTqFu3Ge4qIiIi4hQp3cUzUvn0ANMTHhzgSEecUFxezZMkSCgoKKC8vJyEhgbS0NKZPn05ycnKowwsoepe3N0NPTkwWinuGgiYCFRERESdoHXdxTJ+1a+mzdm2owxCXstZirQ1pDIWFhWRmZuLxeFi8eDErV65k8eLFeDweMjMzKSwsDGl8rYnbtIm4TZtcf89QSIxPdM1koOGQYyJupzwTcZabckwt7iISkaqqqkJ6/+LiYmbPns2CBQtIbTKxV3JyMllZWYwbN46ZM2eSnZ0dti3v0v0ibSLQmpEjW90X6hwT6Q2UZyLOclOOqcW9lxgeP5zh8cNDHYaIayxZsoSMjIxmRXtTqamppKenk5OT07OBSUit3r3aPxloJKjv35/6/v1DHYaIiIi0QYV7LzG071CG9h0a6jBE2m1U/1GM6j+q1f19+vShT58+PRhRcwUFBaSnpwc9JiMjg4KCgh6KSKTjovfsIXrPnoD7Qp1jIr2B8kzEWW7KMXWV7yWq6r3dRDzRnhBHItI+8THBJzWMigrt547l5eUkJSUFPSYxMZHy8vKeCUikE+I2bAACr+Me6hwT6Q2UZyLOclOOqXDvJdaUrwF6eB33Qw7psXuJ++yo2gHAYE94LiuYkJBAaWmpf/x6Y6tl027HZWVlJCQkhCK8oKpHtd6TwU33FBEREXEL93wEIWGnfuBA1y/9JM7Z/O1mNn+7OdRhtCotLY28vDz/47gNG/ytl41yc3NJS0vr6dDa1BAf3+PLNIbiniIiIiJu4Wjhbow5xxjzpTFmnTHm1gD7zzDGfGKMqTPGTG2x71JjzFe+r0udjFOcEVVRQVRFRajDEHHE9OnTyc3NpaioKOD+oqIi8vLymDZtWs8G1g7RO3YQvWOH6+8ZCpoIVERERJzgWFd5Y0w08AjwI2AzsMIYs8xa+0WTwzYBlwG/bHHuQOAu4BTAAit95+52Kl7pfn3WrQMCj50U6apQr8mZnJzM3LlzmTlzJunp6VxxzDEMGjSI4uJicnNzycvLY+7cuWG5FFzcZm9PhsrBPTcMIRT3DAU3TQIa6hwT6Q2UZyLOclOOOTnG/TRgnbV2PYAx5lngfMBfuFtr/+vb19Di3InA3621u3z7/w6cA2hdJREBwmNdzrFjx5KdnU1OTg533303FRUV/GfAANLS0rR+ey8VaROBVh9xRKv7wiHHRNxOeSbiLDflmJOF+wiguMnjzcDpXTh3RDfF1SsdfMDBoQ5BxJWSk5OZNWsWfSdMANTDpLcLxUSgXdHQr1+oQxAREZF2iOhZ5Y0xvwB+AbS5LFNvF64zc4u05uiEo4Pub1yTs7q6uifCaVOwlkuRcBW9axdAwIlEwy3HRNxIeSbiLDflmJOT05UATfuJHuzb1m3nWmsftdaeYq09ZcCAAZ0OtDfYV7ePfXX7Qh2GSLt5oj1BuxtHRUWF1dqcDf36qfVSIk7cpk3EbdoUcF+45ZiIGynPRJzlphxzssV9BXCkMWYk3qL7J8D0dp77GnCvMaaxGp8A3Nb9IfYea/esBXp4HfeRI3vsXuI+2yq3AZEz2VewlstwU3V08N4MbrmniIiIiFs4Vrhba+uMMdfjLcKjgSettauNMXcDH1trlxljTgVeAAYA5xljfmutHW2t3WWM+R3e4h/g7saJ6iRy1PfvH+oQJIJt2bcFiJzCvbHVsjICCnfr6fmJ00JxTxERERG3cHSMu7W2AChose3OJt+vwNsNPtC5TwJPOhmfOCt6zx5ABbxIuInZ5u3NUDe05z4UCcU9Q0ETgYqIiIgTInpyOglvcRs2AJplW5zhpnU5e1rsFm9vhp4sokNxz1Bw00SgyjER5ynPRJzlphxT4S4iEamtdTnnzZu337aTTjqJM844g5qaGhYuXLjf/u9+97t897vfpaKigscff3y//WPHjuXkk09m9+7d/PWvf2227/CtWznllFNISk1l69at5OTk7Hf+Oeecw9FHH01xcTG5ubn77Z8yZQqHHXYY69evZ9myZfvtz8jIIDk5mTVr1vDqq6/ut3/atGkMGzaMVatW8eabb+63/9JLL2XAgAF8uWYNn332GV+//Xaz/VdeeSX9+vXjo48+4qOPPtrv/GuvvZa4uDjeffddPvnkk/3233jjjQC8+eabrFq1qtm+o3ft4sL0dACWL1/Ol19+2Wx/v379uPLKKwF46aWX2OD74K/RgAEDuPTSSwFYunQpmzdvbrZ/6NChTJ/unUZlyZIlbPO18Dc6+OCDmTp1KgB//etf2b17d7P9I0eO5Pzzzwfg8ccfp6Kiotn+o446inPPPReAhQsXUlNT02x/SkoK48ePZ1/dPh555BFibWyz/U6+9wDGjx9PSkpKh997fWprue666/Y7Hty19q1IuFKeiTjLTTmmwr2XOKTfIaEOQUTE9dbuWcuu2F0MqxkW6lDapTo2lob4+FCHISIiIm0wbuk+MHr0aPvcc8+FOgxpom9REaCu8tI5tQ21AMRGxQbc7/FNdhYun6RG7fMutxgJRVAocrO3/H9QtLMI6NkVPLoiescOAOoH79/FP9xyTMSNlGcizoq0HEtJSVlprT0l0D61uPcSFbXebp/9YrXOtESG1gr2RsaYHoqkfSKhYBdpKc435KAyQOEebjkm4kbKMxFnuSnHVLiHyLx5PduNcmvcRgCG1RzeY/f01IwBoOrtA3vsnuIeFdElXHnFDhLjE0MdSrsEa7kMN1WjR/eKe4qIiIi4hQp3cUxVnAp26bxvo0soq9wdMYV7sJbLcGNjg/dmcMs9RURERNxChXuI3Hjj1h69X9FO7wzKqYN67r7Ru3YBUD9wYI/dU9yj8T3bWT3dq+XwrQMA+Prt8J+UbEBFCQC7+41w9T1DoTLqZADebgj/D3DA+769+MddyzURERFxngp3cUzcpk0AVKpwFwc0NDSEOoSINfDbni+iQ3HPUOgbIQV7eyjHRJynPBNxlptyTIW7hI3i4mKWLFlCQUEB5eXlJCQkkJaWxvTp00lOTg51eBJmqqurg+7v6V4tfYu8rZaVqT17387obKz5+f2ZP38YZWWxJCbWkpW1lUmT9jh6z0gTaROBmqphVBG4l0hbOSYiXac8E+m89tQObsqxqFAHID1j5IEjGXngyFCH0arCwkIyMzPxeDwsXryYlStXsnjxYjweD5mZmRQWFoY6RJFeLT+/P3PmjKC0NA5rDaWlccyZM4L8/P6hDi2srNu7jnV714U6jHazHg/Wt1SOiIhIpOiNtYPWcRfHtHfd5uLiYjIzM1mwYAGpAY4tKipi5syZZGdnq+W9F6m39QBEm+iA+8NtXU7jiyMSiqDOrKk+YcIoSkvj9tuelFTD66+vdeSekaTxU/+XPnmJiooKBlQMiIgeQzHbtgFQN3TofvvCLcdE3Eh5JtJxHakdjjzySCBycizYOu5qce8l9tTsYU9N+7q09rQlS5aQkZERMPEAUlNTSU9PJycnp2cDk5CKNtGtFu3gXZcznNbmdHvLZVmZb1b45A+8Xy2392JNP/W/6667eHLRkxHzqX/sli3EbtkScF+45ZiIGynPRDquI7WDm3JMhXsvseGbDWz4ZkOP3rN61CiqR41q87iCggLS09ODHpORkUFBQUF3hSYRoOTbEkp8E5pFgpht2/ytl+GuMiWFypSUDp2TmFjboe3dcc9IUFxczOzZs1mwYAFZWVkMGzaMmOgYkpOTycrKYsGCBcyePZvi4uJQhyoiIuIKvbV2UOEujmmIj6chPr7N48rLy0lKSvI/7vvvf9P33/9udkxiYiLl5eXdHaKEse1V29letT3UYbRbsJbLsBMd7f3qgKysrXg8zWdm9XgayMpq52RznbhnJFCPIRERkZ61X+1QVOQfktfIjbWDCndxTPSOHUTv2NHmcQkJCZSWlv5vQ0OD96uJsrIyEhISujlCkd4ptqSE2JKO9WaYNGkPc+aUMGhQLWBJSqphzpySds8q35l7RoKWn/oHmgjUjZ/6i4iIhErL2qHq6KOpOvroZse4sXbQcnDimLjNmwGoHBx8XeO0tDTy8vLIyspq9Zjc3FzS0tK6NT6JbG5al7OnxWz39mSoHdGxNdUnTdrDiO96u3ynDurYbPKdvWe4a/mpf/+4/V+XSP3UXzkm4jzlmUjHtawdAs0x1Fg7uCnH1OIuITd9+nRyc3MpatHFpVFRURF5eXlMmzatZwOTsFZdXe2qtTkjxRDPEIZ4hoQ6jLCxX4+hAML5U/+q0aOpGj064D7lmIjzlGciHdeydmg5z1DT2sFNOaYW917iiIOOCHUIrUpOTmbu3LnMnDmT9PR0rjjmGAYNGkRxcTG5ubnk5eUxd+7csF5SSSRS5Of35/0Hk9m5M4YNSaPIytra7u7uACMO6HiLeVfvGc4ivceQjdWqACIiEllarR2qq11dO2gdd3FMR9dtLi4uJicnhy9efpm9e/eya4B3HeRp06a5LvGk68Jt7VtT651dPZwLofz8/syZM4ITqz4C4EPG4PE0dGiser2tBwi6VF933zOcdWQt2XD8fyy2rAyA2sTE/faFW46JuJHyTKTzGmuH7S+9REVFBf8JUDtEWo4FW8ddhXsvsat6FwAD+wzssXt2tHAX98nP78/8+cMoK4slMbG2W1ta+/btC0BlZWW3XK83mDBhFKWlcXwP7zrsHzIGgKSkGl5/fW27rlG0swiA1EGpPXbPcFdYWMjs2bNJT08nIyODxMREysrKmn3qP3bs2FCHGVCw/6eVYyLOU56JdJ2bfpcFK9zVVb6X2FSxCejZwr3l7I7SuzS2tFZVeafSKC2NY84cbzfr9hTvxRXeSdCS+4VfK2UgwVouw0VZmbc3QGPx3HK7W+7Z08aOHUt2djY5OTnMmDGD8vJyEhISSEtLC9uWdhEREYksKtzFMYFmeGwPtdS7w/z5w/xFe6Oqqijmzx/WrsJ9Z/VOIHIK95gIKNwTE2spLY0LuN1N9wyF5ORkZs2axaxZs0IdioiIiLiQZpUXx7Sc4VF6F3+LavIH3q+W26XHZWVtxeNpviyKx9NAVtZWV91TnJWf358JE0Zx/PGjmTBhFPn5HVsaUERE2lZcXMwDDzzAuHHjOOGEExg3bhwPPPAAxcXFoQ4t7ARbIcVNVLiLY2K3bCF2y5ZQhyFd0JVfGq21qHZXS2t9fT319fXdcq3eYtKkPcyZU0JSUg3GWJKSahyfJC4U95TuESjHGofAlJbGYa3xD4FR8S7SOfpdJoEUFhaSmZmJx+Nh8eLFrFy5ksWLF+PxeMjMzKSwsDDUIYYVGxvb6uTAbsoxdZUXkYAaJ9zKyMhg8eLFJCUlUVpaSl5eHpmZmW1OuJWVtdU7xr3Jtu5saa2pqemW6/Q2kybt6VLRnNi340MBunpPcU5lSkqr+wLlWFeHwIhIc/pdJi0VFxcze/bs/VYrSU5OJisri3HjxoX1aiWhEGyeITflmAr3XmJU/1GhDkEiSHf80mj8I/7BZ2vZuTOGpKSaDs0qH2XUISgcJcaH7xh+6YTo9i3r16jZEBiA4jHNt4uISJcsWbKEjIyMgEuMAqSmppKenk5OTo7mVfGJhHmGuoP+Mu4l4mPiiY+JD3UY7VI3ZAh1Q4aEOoxerSO/NIKZNGkP8+YV88wzG3j99bUdapE7fuDxHD/w+Fb39+3b17/ERzioTEkJ2nrpFrUNtdQ29NzEchpP7azYkhJiS0oC7guUY04PgRHpbcLtd5mEXkFBAenp6UGPycjIoKCgoIciimxuyjEV7r3Ejqod7KjaEeow2qV2xAhqR4wIdRjt4taiojt/aQzxDGGIpxd8EBMd3eHWy0i0evdqVu9e3SP30nhq58Vs307M9u3tPl6TDYqEN7f+XdKblJeXk5SU5H8cW1bm7wreKPH/t3f/UVHdeZ7w318psEAUEIUiWNmYNsbIoHQSs05mDPN0Zt00bCd7oPeZFpakd5Od2cedRzLb257pYc9q5xzmrJtNlvjMZGZnE9NJo8R9ArM6DZ11xhkSJh27E21a27QSo5mUhBJFwBDFgvK7f1TdsrhVFPXj/q736xyPcG8V9aW437rfn5+Px4OJiQmDS0Zm41J5h/P5fDhw4AAOnTiEqakplEyVoK6uDk1NTbrvi0k7uqMSQMLinaBM85RbmfqmkXP1KgAguHx55FiyN43KJekNwnz6xacAgLuW3pXW842mzFraZdDJDrif2noy3QJDRPpxcrskmxQXF2NkZCTSTo+3DNzv96O4uNiM4pGJOOPuYNERKXft2oV9r+0zNCJlogiPieSfOoX8U6d0KJG2EnUq7E65aSjyPvsMeZ99Nucxyd40gjKIoEw9mudEYAITgYmUn2eWVGcuaWFMKaiv3t4i/MGzXjzZsjqlmblMtsAQkX6c3C7JJnV1dejp6Un4mO7ubtTV1RlUIrIKzrg7lDq42ODYIABjI1ImivDoBE4O0qTcNFpbW+d9TLI3jVNXQ4MwNaU1WhWPsoTHM4ORkby4xykzyszcV6dDqR1TnZlb6V6JfftWoD/IDgHRQp591pitJE5ul2STpqYmNDc3o7a2Nm6socHBQfT09GD//v3GF86isiHGEMAZd8fSKrhYJlx+f2R5jxM5OUhTU1MTuru7MTg4GPe8ctPYtm2bsQWLYqW8nOnOXFJi3E+tn2Rm5hLVscollVgavDPl1/3kk8V4883lePXVFXjzzeX45JPFKf8MIifR8l7m5HZJNvF6vWhvb8eOHTvQ0dGB0UuXEJydhc/nQ0dHB3bs2IH29namgouWIM6QldqLmeKMu0P19fWhs7Mz4WMaGxvR0tLCVBJp0jtPuZmibxoNDQ14+r77UFpaCp/Ph+7ubvT09Jh+07BKXs5MZy7t5o6COwx7Le6n1o8yA/c+Ho57HEhcx4IyiP+39XPkiORjkfT2FmH//tLIgMGXX+bg2LFCPPbYJP+mlLW0vJc5uV2SbbZs2YL9+/ejq6sLzz33HKampvCrklCcKuZvj5UozpBV2otaYMfdodTBxeItU2ZEysw4vVNh9k0jd5E9lvZlWwC1svwyQ1+vvn4SlZtDgyI1pVzJoJVMtyGkswUm2+oKOUdvbxFeeqkcfn8uPJ4Zy97rnd4uyTZerzc0ufad74QOWDxos5mUGENODxDMjrtDqSNSxmPViJSzNtoT7/ROhXLTWPT7vw8AuFVQYNhrV5Ukzkqg5OS8ceOGEcWZVzIzl04yHQzN5bhz3Ia9ZlakEzRYZGYuqiOtnpnTuo5x/y3Zkd6R2rWuZ05vl2QldtgzYpX2ohbYcTdJR0dHzLH7778fjzzyCAKBAF5++eWY85s3b8bmzZsxNTWFV155Jeb8li1b8MADD2B8fBwVFRX43ve+hwcffDBy/tFHH0V1dTUuXbqErq4ufPDBB/B4PJGyPPbYY1i3bl1kObTa448/jrvvvhvnz5/H4cOHY843NjbC6/XizJkzePvtt/GVS6EG4Cf9/QCAbdu2oby8HKdOncLRo0djnv/UU0+hpKQEx4aH40a8f+aZZ1BYWIhjx47h2LFjMee3b9+OvLw8vPvuuzhx4kTM+WeffRYAcPToUZxSRa3Py8vD9u3bAQA//vGPcfbs2TnnCwsL8cwzzwAADh06hAsXLkTOfZHzBYqKilDzZA0A4K233sLFixfnPL+srAxNTU0AQvEHRkdH55xftWoVvvnNbwIAXn/9dYyPj885v3r1ajzxxBMAgFdeeQVTU1Nzzt977734+te/DgB4+eWXY5YFVVdX49FHHwWg/7X3+uuvzzk3lTOF3/yN3wRKEbn21Oa79pS/mZVlWwC1MxNnABgbbDDdlII0P6XDYeQsYrbVFXIGO64U4WCnszDdbGK9vUV473kvxsZcuFCx1tGrTBiczqHWr1+Ps2fP4tKl+PuaLl26hKGhIaxfv163MpxfuRLnV6Z+81g0O4scGwWRWBpciiLp7FHt/GvXkHPlSlrPLQwWojS3NOXnTbgmcP7a+bRe00gMoKa/dFMKUmL19ZM4cmQIJ0+eNiStG+sK2ZEd01JWLqnkgKeDMN3s/JQVMVfGciEhIitinBokWEgpzS6DJqqqquTBgwfNLoalDAwMoK2tDQ0NDWhsbITH44Hf758TXGzLli1mFzNGfjiS+Y15IuJbjdKhSCVIU7p8Ph8OHDiAvr4+TExMoLi4GHV1dWhqatJ1z3kmf5OZW6HZtFT3rCspDOeb2bXS0ie77H/UwkJ/F6u8Zjb9TfSSqI6lex309hbh+TfPh/bfzm7i34Usb+vWtaGVIqotHhUVARw5MpTxz9fjXmZku4T0l04bzKz2otGU+vnrCNVPZdtidP20UnsxGdXV1cellA/GO8el8gYzsjEZHVyspaVlTsU1JLhYliztMSpPuTIQ09jYiM7OTlRUVGBkZAQ9PT1obm627EDM6fHTAJydx72+nlGxrUTvPakEePI9eOXVV9Af7J9zPJltNx0dbly/fh0/634NH38MRO/eSbTtBojd8qWm9ZYvtWS3fB0/ftxWW74AoKSkBE899RQAbvmKvvbuvXcxRkeXIog1ANYDGEZOzv+He+/9Ah0dNyOPS3TtGb3ty6h2CekvnWXgmbYX7TTwnW1xhthxN5AZjUkluJgZKd+yJcJjqtIZBfX5fGhra8PevXtREzXi6vV60draitraWuzYsSOrUoTMzs6aXQSyKDvuSbWiRHXMU+BBYbAwrZ+70r0S129dT7dYRIb6yldCnfMTl2dx7ZpEWVkA69d/ETmeKd7LaD7ppJvNtL1ot4HvZGKnOKmOcam8gSLLrVS0Wm5lNekur7bbUvlUloxGj4I2NDTMGQXt7u6edxR0z549cLvdaG1tnfdnd3R0IBAI6DJIk8nfJN0ltWYsyaaFXZkOxTpY4V5h2Gumei1s2FAFKUXM0lYhJE6ePK1DCbNPultgiOzKDvckZWLg0IlDmJqaQslUiSOXR2eLZJaBq2XaXrRbX0U90ACEYqfs3j1syYGGZCRaKs/gdAayY4CTdPX2FuEPnvXiyZbV2Lp1rWODRKQiehS0tbUVXq8XLpcrMgq6d+9etLW1wefzxTy3r68PDQ0NCX9+Y2Mj+vr69Cq+4fIW5SFvUezNg8y1wr3C0E57OuaLUs7o5do5PX46sg0mVQw2SHa00r3S0tHaBwYG0NzcDLfbjV27dmHfa/vQ2dkJt9uN5ubmuFs3yNqil4FHLwVP1G/ItL1ot75Kff0kdu8eRkVFAEJIVFQEbN1pXwiXyhsoW1LhpLO0J9rMHXfoWj6zHDhwAI2NjXOWLkWrqalBQ0MDurq6YkZBJyYmUFFREfk+3gy4x+PBxMSExqUOmV63Tpefm8j6ksQZD+wWbMQprs+GljgXuAoMe01Pvielx0dylEcdY/Ty1OlVx7j/luxIryjtWtQz9fJoZXVANm+nc4J0+g2Zthft2FdZKM6Qk9qLnHE3ULakwkm0vzQZs2VlmC0r06NouvDke5LqWGQyClpcXIyRkZGEz/X7/SguLl6wHOmQbjek253Wc+8ouAN3FDhzMCYbDU0OYWjS2OVyngIPPAXJd96VEfjS0hkAzh+BJyL9WXmliHpiQN0uiZ4YIPtIp9+gbi9Or1sXM/mSqL2YLX0Vu+KMu4GURuPzb86EUuFUBCwdqTFdmUZ4FNOhebJ0O4pGS7ZDkckoaF1dHXp6eiJ7lm6uWRPzmO7ubtTV1SVf8BS4wtGD0xlQKctPbxDm3LVzAIA1y2J/V8ou6eynrq+fROXm0KqfmlJu1SGizFh5pUhfXx86Ozsj38drlzQ2NqKlpcWUYMWUHqV/kEqEd3V7MV5bOlF7MVv6KnbFjrvBsqExmekyG/eZMwBSD4RmVvqKZDsVyiioskwtXud7vlHQpqYmNDc3o7a2FjU1NbhVODea8+DgIHp6erB///40f4vEcj//HEB6HffpYGggxp2T2kDM1MzUwg+irJBuSkEr70clItKKemIgHj2305F+Uk03q24vqidekmkvZkNfxa7YcTeB0xuTkf2lqgiPei6zMTN9RbKdCvUoqLrzDcw/Cur1etHe3o4dO3agoaEB2377t1FWVoaLN2+iu7sbPT09aG9vt+TetTMToYEYK85SkLPptSeVwO0vRAbp6Fh4m2Fe3gv44z9eimXLls37mGvXriE3978m9fPIzsqxadPf4N/8m3ewdu1n+Ebpl8jPd+MXS/Jx9uxZDA1dxiOP/A26uxO3F7/IuQ8A0B+0z/Xy7LPOX87PjrsJnN6YTGdpT6bskLdZPQqac/UqACC4fDmAhUdBt2zZgv3796Orqwv/9fd+D1NTU/hVSSjVSzYGnHFSXk7Sh7IfNUfkmFwSe4pXx5R0U319fZiYmEBxcXHK6aZSDTZI5GQL3cs++OCDmGMejwderxfBYBAnTpxAYWEh3nmnHx5PaNa9svIO3HFHJQKBAH7xi18AAEZGRlBYWIgPPvgAXq8XHo8H09PTOHXqVMzPv+uuu7By5Up8+eWX+Oijj2LO33333SgtLcW1a9dw9uzZmPP33HMPiouLMTExgY8//jjm/L333otly5ZhbGwM58+fjzm/fv16LFmyBJcvX8ann34ac766uhputxt+vz9uJp6NGzciLy8Pn38+jOHhz2PO33///cjJyYHP54Pf7485v2nTJgDAp59+isuXL885l5OTg/vvvx8AcP78JxgbuzrnfF5eHjZu3AgA+PjjIUxMzG2Dut1uVFdXAwDOnDmDL774Ys75JUsKsH59FQDgo49O48svr885v3TpUqwL71k/deoUpqen55wvLi7CPfesxTe+8TjeeecdvPPL4wjeuoWf5ZxBSUkJampqIp/VJ06cQDA4N25DYWEhJicn8cknn2B6+gZyclwoKSnBihWlyMtbHHPtqcW79qLpe+3dGfN4wFntRXbcTZANjclUl/Zkak76CiCSt9lK6SvUs+ZP33cfSktL8emXXyY9a+71erFz507kb90KwD657vUwM2PdCKdOdmdh/BujFVl5T6odqOvYwMAA2tra0NjYiFffeBUejwfjo+Po6elBc3Mz2tvbsWXLlgV/biqBBomcbqF72aZNPTHH7r//fjzySB4CgQBefrkH165dw1/91V/hoYd+G+Xl5di8eTM2b3ZhamoKr7zSg0uXLmFo6G/wjW98A8uWLcOWLVvwwAMPYHx8HK+/HvvzH330UVRXV+PSpUvo6oo9/9hjj2HdunXw+Xzo7o49//jjj+Puu+/G+fPncfjw4ZjzjY2N8Hq9OHPmDN5+++2Y89u2LUZ5eTlOnTqFo0ePxpx/6qmlKCkpwfHjJ+KmuXvmmeUoLCzEsWMf4tixYzHnt2/3IC8vD+++eyxu5/PZZ0P3uaNHfxLTuczLy8P27aEJuB//eCCm81hYWIhnngl9xh061I8LFy7MOV9SUoKnngotW3/rraO4ePHinPNlZWVoagqlXD1w4AhGw0vdFatWrcI3v1kCAHj99R9jfHx8zvnVq1fjiSdCy9tfeeUkyj/5DACwvjx0nd177zi+/vXQyt+XXz6EQCAQea7P58N7772Hbdu24T//lyfw1ltv4frUdQwNDeHs2bN45JFH8MQTT8y59tTU156avtfeszGPB5zVXhRSSrPLoImqqip58OBBs4uRFCVNBxuT8cUL2raQrVvXhvbVqzruFRUBHDmibwTsVP+ePp8PXV1duHzo0JxZ823btiU9Y5XOe5SJTF4v3ev97EToZnhv8b1xzwshAABO+Qyj+aV7DfGzNjPRdczn86G5uTkm3ZTy3g4ODiadbiqdYINEZvNfD83Maj3wpNW9TBlYa2hoQGNjIzweD/x+/5yJgWQG1shZkm2/afkZbzV2ay9WV1cfl1I+GO8cZ9zJcgKrVqX8HDvlbbbjrPl0VZXhrzlfh13hDkdKdUJeTjtRggYW5sbGaNAL91ObI7qOqdNNqUWnm5ovarWyzP7QidCgZclUScrL7J1Mi20IpB+9VopodS+L3k7X0tIy5xqyY2eLjKXFZ7xVOam9qGsedyHEY0KIs0KIc0KIP4xzfrEQ4mD4/E+FEHeFj98lhLghhBgM//tzPctJ1hJcsQLBFStSeo6ZeZuzIU+5zM2FzE1vdmzVklVYtST1wRiypnPXzkVS9RmlLL8s7bSCpI2+vj40NDQkfExjYyP6+vrinhsYGEBzczPcbjd27dqFfa/tQ2dnJ9xuN5qbm+Mud80myvtz8eIjcLkuQspZuFwXcfHiI3x/LGLm1kxktYhVKRMD/f39GBwcRH9/P3bu3MlOexabrqpKavIl0894MoZuM+5CiBwAfwrgnwC4COADIcRhKWV0pIGnAYxLKdcIIb4FYA+A3wmf+0RKWaNX+ci6Fl0PBeK4VVCQ0vPMSl9hRofi5tq1hr5ebjh4y4wn9RmHFe7UBmEUCy2VJ+dTZiB7/3cvJiYnUFLIGVqzqNNNxdt+MF+6KZ/Ph7a2tpglmF6vF62traitrbXtEkwtKO/P7/zOYfzgBw9HAq2Ojubj2rWn8e1v34e2tsez9v2xinTTUhKZKdlJl0w+48k4es64PwTgnJTyvJQyAOBNAE+oHvMEgNfDX78F4FGhbESgrLV4aAiLh9Lbl77SvdLwdHvTwelIrvJU3Fy7Nu0O+K2CgpQHNjLh8vvhihN5NRnXZ6/j+uz1hR+ociN4AzeC9l/WROmJnqFt+5M27Ptx6jO0nnwPI5hrpLi4GCMjIwkf4/f7UVxcHHM8lSWY2Uh5fw4deihudpRDhx7K6veHiNKX6/dHJl8SyeQznoyjZ8e9EkB0joaL4WNxHyOlnAUwCaA0fG61EOLnQoh3hBBxo2kIIX5XCPGhEOJDdVRFK2NjUj+VSyoNT7d3ZuJMJFd5KjLpfOdcuYKcK1fSeq7RhiaHMDSpb4BAcpboGdrW1laUl5fDleOKzNDu3bsXbW1tcdMARfMUeBjBXCN1dXXo6YmN8Butu7sbdXV1Mce5BDMx5f2Zkx1FCbSKUHaUbH5/iKyit7cIW7euxYYNVdi6dS16e41b3ZmuZCdeMvmMJ+Pousc9AyMA7pRSfhXAvwdwQAixTP0gKeVfSCkflFI+WFJSYngh08XGpH6CMhhJt2d1mXS+8y5eRJ4qhUi2mZmZcVSKD7pNqxlaO+xJtbLoOtbU1ITu7m4MhiMUqw0ODqKnpwfbtm2LORdvCaZ6GWY2L8FU3h+PJ3yt+h6OZEYBAI9nJqvfH6fjvcweenuLsHt3JUZG8iClwMhIHnbvrrRF5z0ZmXzGW52T6pieHfdhANGbsVaFj8V9jBDCBaAIwJiU8qaUcgwApJTHAXwCwNhNvTpiY1I/p66eiuRutjp2vjMzOzuL2dlZs4uRdVYvXY3VS1fr+hpazdCeHj8d2ZdKqYuuY16vF+3t7dixYwc6Ojrg8/kwMzMDn8+Hjo4O7NixA+3t7XH3YHMJZmLK+9Paeglu960555TsKNn8/jidVe5lPp8Pe/bsQW1tLTZu3Ija2lrs2bNnwZVN2eKll8rjbmV56aVyk0qkrUw+463OKnVMC3p23D8AcI8QYrUQIg/AtwAcVj3mMICnwl9/E8DfSimlEGJlOLgdhBB3A7gHwHkdy2ooNiaJFlaYW5gw5ZgQAgyJYbyivCIU5ek7w8AZWmtQ1zEl3VQgEEBLSws2bdqElpYWBAIB7N+/f94c0VyCmZjy/ijZUSoqAhBibnaUbH5/rEKvDDJWuJdFxxTp7OzE8ePHmfVBJdFWFqdI9zNeC3puQ7BCHdOKblHlpZSzQojfB/C/AeQA2CelPC2EeA7Ah1LKwwBeBfBDIcQ5AFcR6twDwCMAnhNCzAC4BeDfSimv6lVWspbAnXeaXQRSuVFdbfhrrlm2JuF5J+XltJPJQCjFop6dd2UGMtHIPmcg9RevjinpplLJ49vU1ITm5mbU1tbG3f6gLMHcv39/xmW2o+j3p76+JiaNaba/P2ZTslv09fXNyY2uVXYLs+9l6qwPCmZ9mMvjmcHISF7c406Szmd8ppRtCMqKBmUbAgBN0jqbXce0pOsedylln5RyrZTyK1LK9vCx/xTutENKOS2l/BdSyjVSyoeklOfDx7ullFVSyhop5f1Syr/Ss5xkLcHlyxFcvtyw18t0lC8r8pTn5IT+peHOwjtxZyEHY5ziwhcXcOGLC7q+BmdoncXJSzC1wPfHuqJnol9941W897P3HDcTzawPyUm0lcXKblRXmzL5kgqnb0PQklWD01EWWzQ1hUVTU4a8lhbBRla4V6Sdqzxd0+vWYXrdOsNeL3d4GLnD6hAVyVm+eDmWL059IOaj8Y/w0fhHab0m2ZuTg+RkKzOXYNoB3x/rUWe3mCqcwrmpcylnt7A6Zn1IjrKVpbR0BsDcrSyWlsHEi1GyYRuCVnRbKk+UrsXnzgEAbswz+ptIqmn2Eo3yJfthrOQoL3Clltotk463DC/7MYrr8mUAwExl6qn2pmZCgzCJ9qvHE7gVSPm1yBmiZyAbGhrQ2NgIj8cDv9+P7u5u9PT0JDUDqcd+VEqfGUsw7YTvj7WkMhNt57+ZOqZIPIwpElJfP4nKzaGBmppSe0STVyZd0mm/GSVbtiFogTPuJtArwAmlnmpPi1G+dPOUS7c77Q64a3QUrtHRtJ5rtHPXzuHctXNmF4MypEQc3r59O5588kndIw5rMQNZll+GsvwyXcpHRM6WLTPR6qwP8doXjCly20r3Sqx0rzS7GElzXb4cmXyxKrtuQzADZ9xNwIakfpQ0e7mLkut4mznKp9wYZ8tSvx5yP/887eemqre3CO8978XYmAsXKtaitfWSJZaGBQKckTfKwMAA2tra0NjYiF27dqF0RSnKb5ajp6cHzc3NaG9v12Upb6YzkNPBaQCAO8fYFSpOwTpG2Sxedgs1LWaiza5nSkyR1tZWAPHbF4wpclvlEuvOXNuV0qZ8/s0ZjI25UFER0LStaXYd0xI77iZgY1I/Spq9eDfYeFpbL4UiWUYdM2qUz8jOd7qUGABfnQ7Nqmod6TMTwWDQ1NfPFuqIw9FbH6wecfjMxBkAyX8e0FysY5TNjMpuYXY9Y9aH1ARl6O+VI6y9bxyw7sRLPHpuQzC7jmmJS+VNcGbiTKRBSebKJNiI0UuHzWBmpM9lucuwLHfZvOcXLVqERYv4EaY39T7PwtzCOfEKGHHYuVjHKJsZld3C7HqmzmoweukSgrOzzGowj1NXT+HU1VNmF2NBysTLlbFcSKQXfNloem1DMLuOackZvwU5SmD1agRWrzbs9errJ9HR4cMPf3gBR44MJdVpj04Rs2vXLux7bZ/jUsQAt/f6v4+H8T4ejjmup7uX3Y27l9097/nFixdj8eLFupcj26n3eV69eRVXb16d8xgn7POkWKxjZDXKgHltbS02btyo64C5UdktrFDPomOKPPfcc3j66aeZ1cDm7JhirXJJpS5bEaxQx7TCpfJkOcEi40cDUxnhUy8dVjoxyxcvt/zS4VRpEQNg9VLjBmFIe+p9nvFS+zHiMBHpLTrWRmdnJyoqKjAyMqJbrA2tslvYhRJTJH/rVgDpZfYh64ieeIl33IrstA3BLJxxJ8vJmZxEzqSxe3BSGeVTLx1W5yk3YunwdFUVpquqdPv5Ci0ifRblFaEoL/XBmNPjpyMxC8g86ojD8TDiMOmtt7cIW7euxYYNVdi6da2ll3uS9tQ51b1eL1wul+451bXIbmE3RrUvSF/zTbBYOcWaXbYhmIkdd7KcvAsXkHfhQlrPTTfVXlAGIyN9C1EvHZ6amYoE7FIks3Q4k5ujzM2FzNV/1FSJAVBREYAQqcUAUEwGJjEZSH0gZubWTCRLAJnHqH2eeli1ZBVWLVlldjEoQ8pezZGRPEhpj72apK1UcqprTZmJ7u/vx+DgIPr7+7Fz507dZ9rNGqwyqn1hN3aLa8QUa87EjrsJ2JjUT7p5m1MZ5VMvHVYH6wKSWzqcyc0x1+9Hrt+f1nNTVV8/iSNHhnDy5OmkYwBEu/DFBVz4Ir2BGDKfUfs89bDCvQIr3CvMLgZlyI57NUlb2ZJTXWHmYJWR7Qu7iI5r9Cftf4K+N/ssH9dIi4kXsh7ucTcBG5L6MSLVnlYpYpQb44zHk3IZXBk81ymclJfTyuy8z/P67HUAQIGrwOSS2JNV6lhkT6b3J6H/fQ/PPU6Opx4wzw8PJEbvw7ZrrI149ezFF1fEHax68cUVune82L6YSx3XKGIpLB/XqL5+kh11WOdepgXOuJvg+uz1SIOStGVEqj2tlg67/P7IDZJSFwwGHZWb08rsus9zaHIIQ5NDZhfDtqxSx+y4V9NO7BA/QItYG1b9PdX1bGBgAKOj4QjY3p/cHrACMDq62JKzu06m3qah3sbHlKjWZ5V7mRbYcTcBG5P2Zuelw3ZSnFeM4rziec87KS+nHZi1z5PMY5U6xr2a+rFL/IBMB8yt/HtG1zNldre0NP7kTmnpdV2C8NH81Ns04gXOddI2DTN58j3w5Gu/0sMq9zItOOO3IEe5uWYNbq5ZY3Yx5hW9dLijowM+nw8zMzPw+Xzo6OjAjh07LLt02E7uWnoX7lp617znnZSXk8iKrFLHNmz4JR544M8hxCUAt7BokQ8PPPDn2LDhl2YXzfbMih+Q6uy3esD8RnU1blRXR84vNGBu5TgJ0fVMmd397nfH4w5Wffe745zdNZh6m0ZNaQ1qSmvmPMau2zSsxlPggadA+467Ve5lWmDHnSznVmEhbhUWLvxADaU6ymfXpcNmWLNsDdYss+5ADBFZlxIU6r77fo7nnz+P135wDj/60S9x330/t2xQKDuZEz8gakm2nvED0pn9jhkw//xzzNy6lfSAuRm/ZzqU2V0lsFhp6QyAuYHFOLtrLKZENQ6zCS2MwenIcnKuXgUABJcvX+CR2klnhE9ZOrxz504dSpRY9EyD1akj7ifr5NWTAIANyzdoWRwisgl1UKjhL4cBAJVllZYPCmUXHs8MRkby4h7XS6LZ70SBtJQB866uLvxRUxOuXbuGyZIS1NXVLXgNmPF7piN6djcUWKw0fOb29kq9Z3ft1L4wgrJNo7W1dd7HWDUlqt0oWxDUKxroNnbcyXLyPvsMAHAjjY57umn2lBG+3EXGjb5ndHPMydGuIDq7ejM0ELN8cWp/z1vy1sIPIkrgzsI7zS4CZUAdFKpySeWc89FBocwYQHWC1tZL2L27EtNRx/SOH5BJlgBlwDx/61YAc6PKJ2LG75kOrbLWZMRG7QsjNDU1obm5GbW1tXOjyocp2zT2799vfOEo63CpvAnuLLyTDUqdpJu3OV6wEd3l5KR9g8wdHkbu8LDGBdLHZ1Of4bOpz8wuBmWh5YuXpzxgZAafz4c9e/agtrYWGzduRG1tLfbs2ZP1AajUQaGCMoignBsZmMuGM5NoSbZezMgSYMbvmQ6tstZkwk7tCyMwrhFZCWfcTWCHhqRd2Slvs3JjnKmsXOCRsVyXL6f9XKdwUl5O0sfUzBSA1LZr+Hw+HDhwAH19fZiYmEBxcTHq6urQ1NSkS8NsYGAAbW1taGxsRGdnJyoqKjAyMoKenh40Nzejvb3dtJgZZtcxdVCoHBE70MmgUJmrr59E5ebQIFFNqf5R1jOd/e7tLcJ7z3sxNubChYq1aG29lFQH3OjfM1nR9cwKs7tsX8SK3qbR0tIy597ArTrWZ/a9TEvsuJsgncYkJUdJs2eH/TG8OWbGKTk5ST/nrp0DkPzngdGd6Og93MPDtXj66XL4/bnweNajtfXXsHevuXu4za5jllg2nCVWulca9lpKJ/v5N2cwNuZCRUUg6c63Etjuq9OhDrgS2C765yZi5O+ZrOh6Fj2729DQgMbGRng8Hvj9fnR3d6Onp4ezuyYxM64RZcbse5mW2HE3QaqNSaJo6c422E3p4tKE53PC2wyc9IFM5lEHQlN4vV7dAqEpe7iHh2tDM5DhgF1KZ2T37lpT93CbXccYFMo46vgBekt39jvdwHYKo3/PZKjrmZmzu9nSviBruqPgDl1+rtn3Mi1xjztZzs21a3Fz7Vqzi6Gr3t4i/MGzXjzZsjqpHLbRz9u9uxJXxnIhkVwaHbvyFnrhLZy/gZKXl4e8vNgowUTpUAdCU4sOhKYVZQ93os6ImXu4za5j6tzdagvl7qbkxYsfoLeV7pUpz4ArAezex8N4Hw/HHF+IGb/nQuLVM2V2t7+/H4ODg+jv78fOnTt177RnS/uCrKksvwxl+WWa/1yz72VaYsedLOdWQQFuFRi7R/2Ogjt0G+lTy+TmmKiBb1Vri9ZibZGzB2LI/tSB0OLRuhOt7OGer9MRWjafvXu4GRTKOKeunsKpq6cMfc3KJZUpz4BnGtjOjN/TLuzYviBnmQ5OYzo4vfADsxiXypPl5Fy5AgAIrkg9Ony69Bjhm08mS/2iZxviHbeidAMFDo4NAuCWEkqdEmDu0IlDmJqaQslUyYIB5tSB0MRMqCMgc2/XLa070coebo9n/bw5prN9DzeDQjmXMvMdL+jgfCKB7aLuoVZM62ZHdmxfkLOcmTgDgO2+RNhxJ8vJu3gRAHAjjY57umn2lBE+d447reenIpObo8czM28D36quTIcGYtJJ02ek3t4ivPSSEhxshnv7bCo6wNwr//kVlJeX4/rY9QUDzKkDoUV32BVad6Jv7+H+tXk7I9zDzaBQyTA6G4IWlJnvVBrpymcyP6u1l0n7gvdPykQ6g+3ZikvlTbB66WqsXrra7GI4Urp5m89MnImM9Oktk6V+ra2X4HbfmnPM6rMNF7+8iItfXjS7GAm98cYs2trKMDKSBylD2xfa2srwxhuzZheNUhAdYK61tRXrV69HaUFpJMDc3r170dbWFjc/ujp/cq7fj1y/f85jtO5EK3u4Kyvfwe7dw6ioCECI2zmmKyvf4R5uWtDAwACam5vhdrvR2dmJ48ePo7OzE263G83NzRgYGDC7iJqqr5/EkSNDOHnyNI4cGWIHUSPpti+U7X/R90/ujadkRX9+7dq1C/te2+foz69MseNugqK8IhTl8QNND1MzU5F0e1aVSee7vn4ybgM/GxsuN2/exM2bNzP+OQMDA3jhheUIBhfPOR4MLsYLLyznTcNG1AHmJgOTmAzcrhuJAsypA6G5/H64ojruegRCi97D/fHH38errx7F8eODePXVo/j44++bvodbqzpG+lEPVnm9XrhcrqQGq8garFLP0m1fcG88pUv9+VVeXg5XjvafX1apY1oQUkqzy6CJqqoqefDgQbOLkRSlIcnOe3z54YbzjXmiOyeS7r5oo/dTZ8OyskyXPhnxN/H5fGhubsb4+BgAAXh/Ej6hbGOQKCkp5V5am6itrUVnZ2fkbxXvGvL5fGhpaUF/f3/M85Vl9g0NDXj6vvtQWlqKT8rL5+RP1jKPe3SZurq6YpY5b9u2jdcdJbRnzx643e6EKfM6OjoQCAQSbjXwXw8NUnkKPJqXcT5mxDEx4/d0ug0bqiBl7P1TCImTJ0+bWDKyOvXnV7zPhGQ+v5ymurr6uJTywXjnOONuggtfXMCFLy6YXQwykdOX+mmx9GmhVEE5OTmR3JzpUmZoKyrib1OoqJjRPAUY6UcdYK6mtCamU5AowJwSCC0QCOC5557D008/jZaWFgQCAezfv1+XTjtgTuqnZGhRx0hfWmVD8BR4sqIza8Xf0+71LNNI/5S91J9fq5aswqolq+Y8RotsLnavY9EYnI4sZ3rdOrOLQBmIXvpUU1MTGUFVlj7V1tZix44dC85iL5QmSMnJeePGjbTL2tfXh87OTqxZE45UHHVO2b6wYUMjWlpasmq0167UAebiWSjAnNKJzt+6FUB6K3+cQos6RvpSD1bFW7GWTDaEmVuhTlbuIuMiiHvyje9Am/F7LsTu9SwS6T/qmNVj75A1qD+/4gUx1iKbi93rWDR23MlypFv/yO4KZTn3j/7uR5i8NomSXEayzJR6n/G64rkDMdH7jBN1htNJFZQq5abh9SqRih8MbV+oCES2L8zMZG8ebbu5HaV9/mXDjNJOTqLFYBUAnB4PLWlOddl6Jtu+zJj5Tvf3pPkpf+/n35zB2JgLFVH3T6JEtPr8yiZcKk+W4xodhWt0VPfXiV7OfeB/HMCJd08wkqUG1Euf3DnumDR7ySx9OnX1VCRdkF6UmwYw//YF3jTsQx1gTi2VAHM3qqtxo7pa4xISaUudDSEevQarMo0mPnNrJjIDTvZWXz+Jjg4ffvjDC47c/kf6MPPzy67YcSfLyf38c+R+/nlaz0021Z46kmVpRSkCCDASrwbUS5/i0WLpkxZ403CW6CjtHR0d8Pl8mJmZgc/nQ0dHR2pR2nNyQv+ILEzLwapUZRpN/PT46cgMONnfQnFpiNTM/PyyK3bcTbBm2RqsWbbG7GI4UrKp9tTLuYcmhzA0ORQ5nyhtFCUWPYs9H6vMYvOm4TzRAeZaWlqwadOmtALM5Q4PI3d4WOfSEmVGPVg1VFyMa+vWpTdYlSK/P7xP3PuT2xHFo49TVqlcUrlgbBqiaJoOtmcJdtxNUJhbiMLcQrOL4UjqvM3z0SoSL8UyahZbi7ycvGk4kxZR2l2XL8N1+bKOpbQ+J+W+dbI5g1Xf/jY2bd5sSDYERhPXhlPqWVAGI7FpiJKl1WB7Ik6pYwCD05ni6s2rAIDli5ebXBLnUdLsLRR4Jl7aKDWrLOe2m6amJjQ3N6O2tjayoiGaMou9f//+jF7n1q1bGT1fodw0urq60NLSMiePNvO3UzbTqo6R/pTBqrbmZgDATGVyM5+RAK3v/AiTk5MocSUfoNWO0cTvKLjD7CLEcEo9U2LSMPAfpUr5/NIre49T6hjAjrspPpv6DAA77mZiJEv9RM9iNzQ0oLGxER6PB36/H93d3ejp6UlqFnuhVEFKTs5gMPMRfr1vGmQvvb1FeO95L8bGXLhQsTZrIyRrWcfIGMoqkWQ67gMDA2hra0NjYyMO/PcDqKiowMjICHp6etDc3Iz29vaEs13pRhNXBgsOnTiEqakplEzpn81Fec2+vr45g7NWyCBj93pmxt+TKBV2r2PRuFSeLGe6qgrTVVW6vgaDkulLi6VPngJPwnRBeXl5kdycRFpRImVfGcuFROqRsp2Edcy51AFaV96xErNiNuUAralGE4/O5vLyH7+Mt998W/dsLtGv+eobr+K9n71nqQwydq5n0e/trl27sO+1fZZ6b4kAe9cxNSGlNLsMmqiqqpIHDx40uxhJGRwbBMDlRHpI9r31+Xxobm7G3r17513OvWPHDi6VNpGSJih3UfxAR/n5+QCAGzduGFYmcr6tW9diZCQPv45QsK338TAAoKIigCNHhhI91XFYx+wltFLkfHilyKaEs9979uyB2+1Ga2srgPj3zo6ODgQCgQVXIg1/GQriuFBgMjPuu+rXVP+eVrjX27We2eG9JQLsV8eqq6uPSykfjHeOM+5kObl+P3L9fl1fg0HJrMvn82HPnj2o3VaLB77xAGpra7Fnzx6m5iNDKBGx38fDkU579HEiK0p1pYiWAVqTjSauzuYyHZzGdPD2Dnk9srmoX1ONGWTSx/eWyHjsuJPluPx+uNLsuKeSas+ISJaUGi67I7MxUrbz9PYWYevWtdiwoQpbt6515LaHVHOqxwvQql6plmyA1mSjiasHC85MnMGZiTNzHqN1NhdmkNGP+r315HtiYtMk895mQ/0k0gqD05lgbdFas4vgWKmm2WNQMuuI3nMZvexO2XNZW1vLZXeku0ik7KhOkNUjZdP8lJlo5e+pzEQDcFTAweiVIvGOq2kZoDXZaOJmZHNhBhn9qN/beDFpFnpv33hjFi++WIZgMLT/eGQkD21tZRgbG8OTT7KLQqTGGXcTFLgKUOAqMLsYjnT15tVIuj2yl1SX3U1PT2N6ejruY4nSVV8/id27h1FREYAQEhUVAezePeyoTl6ynFDHXnxxRdyZ6BdfXGFSifSR6koRMwK0KoMFiWidzcWM10yVXetZpu/twMAAXnhhOYLBxXOOB4OL8cILy7nCjjRj1zoWDzvuJrgyfQVXpq+YXQxH+mzqs0i6PbKXVJc0SinhlOCaZC319ZM4cmQIJ0+eTipStlPZvY4NDAxgdDTcKfD+JPQvbHR0saM6Bq2tl+B2z81VnGilSFNTE7q7uzE4OBj3/ODgIHp6erBt27Z5X1OJR7J9+3Y8+eSTC8YjMWOwwA4ZZOxazzJ5b5UVdrduhVd8qOrnrVvepLIaECXDrnUsHnbcDaTc5B5/6nF8rfFrDLpFFCXVPZculwsuF5fSEenFznVM6RiUll6Pe7609LqjOgaprhTJNEBrOvFItBgsSJUZr5kqu9azTN5bZYVdRUX8FSEVFTMMbGdTVoxZYNc6Fg877gZh0K3k3aiuxo3qarOLQQZLddldbm4ucnMZ6ZtIL3auY0rH4LvfHY87E/3d7447rmOQ6kqRdAO0qnPAl5eXw5XjWjAHvBnZXOyQQcau9SyT91ZZYZdopUiiwHaR7DO1tdi4cSMnwixCiSkyMpIHKRfObmEUu9axeJjH3QDMdWmcZPO4k/Wo8wrHE51X2G55OYnsxs51rLa2Fp2dnfB6vejtLcLzb4bym1fM3s5v7vP50NLSgv7+frOLayvqz2r/9VAWmOjgZIlywPt8PnR1daGvrw8TExMoLi5GXV0dtm3bplsbyIzXTJad6xmQ3nu7ceNGHD9+HC6XC729RXjppXL4/bnweGYi9XNmZgabNm2KmdEfGBhAW1sbGhsb0dDQgIqKCoyMjKCnpwfd3d1ob29nViCTPProVzA6mh9zvKzsBo4e/cSEEoXYrY4lyuPOjrsB1De5eJ3LRDe5bJM7PAwAmKlcOC+swufz4cCBAzh04hCmpqZQMlWCuro6NDU1mX5TpuSoB7jU1ANcdvsgJrIbO9ex6I7BfObrGFBi0YMi8+GgSPLsXM/Sle41lGo7gYwzMDCA7dt/D8Ci2/EKfEqWi1t4+eX/btqAit3qWKKOO5fKG4B5RFPjunwZrsuXk3589DaEH+z5Af6++++5DcGG7LCkkYjswQ7RxO1KHY8kHqZYo0TSDWyXavYZMka2xRQxEzvuBkg16BYlT73Xbu1da7HMvWzBvXZkTenuuSQiimaHaOJ2xUERylS6ge04EWZN2RhTxCy6dtyFEI8JIc4KIc4JIf4wzvnFQoiD4fM/FULcFXXue+HjZ4UQ/1TPcuqNN7nk9fYW4Q+e9eLJltVJRaNUj76qU+1x9NV+vF4vdu7cif7+fgwODqK/vx87d+6MmWl3Ul5OIiuycx2zQzRxu+KgiLbsXM/Sle4Ku+iJsN7eIvzRb43h96on57QXORFmPGVARcluUVo6A2BudgszB1ScVMd067gLIXIA/CmArwNYD2CbEGK96mFPAxiXUq4B8N8A7Ak/dz2AbwGoAvAYgJfDP8+WeJNLjhKN8spYLiSSi0apHn29+OVFXPzy4pzHcPTVmZyUl5PIiuxcx7j1Rj8cFNGWnetZJtJZYadMhCVqL3IizHjRAyr19ZPo/2EpTvUVzcluYeaAipPqmJ5J7R4CcE5KeR4AhBBvAngCwEdRj3kCwO7w128B+BMhhAgff1NKeRPABSHEufDPe1/H8uqmqakJzc3NqK2tnTeYRk9PD/bv32984SzkpZfKMT09dyxpenoRXnqpfN60NvG2Iahx9NWZlNQeMzPx88ASUWbsXseUjkFXVxdaWlrmRLxm8Kr0RQ+KNDQ0oLGxER6PB36/H93d3ejp6eGgSArsXs8yoaywSzYwszIR1tv76Lztxbq672f9RJjRlAGVRHXezAEVJ9UxPTvulQCiNxZfBPCP53uMlHJWCDEJoDR8/JjqucmHGLcY3uSS4/eHKtb7eDju8Xis/mFB+lGiRTvhg5jIipxQx1LtGFByOCiiHSfUM6MoE2Hj438BILa9ODKSy4kwEygDKonS+Zq5sthJdczWwemEEL8rhPhQCPHh+Pi42cVJiEG3FubxxK9Q8x0HuA2BiIjIDMnGIyHSijIRtmhR/IDDixb5OBFmAm6fMY6eHfdhANE1Z1X4WNzHCCFcAIoAjCX5XEgp/0JK+aCU8sGSkhINi64P3uQSa229FDcaZWvrpXmfww8LIiIiouywZcsWfOc7V5GTc3PO8Zycm/jOd65yIswEjCliHD077h8AuEcIsVoIkYdQsLnDqsccBvBU+OtvAvhbGYoecBjAt8JR51cDuAfAz3Q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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "plt.ylim = ([0, 1])\n", + "max_lim_graph = 0.3\n", + "\n", + "plt.scatter(dsim.pond, partpool_error, edgecolors='black', c='lightgray', s=100)\n", + "plt.scatter(dsim.pond, no_pool_error, c='blue')\n", + "\n", + "qty_unique_ponds = len(dsim['Ni'].unique())\n", + "qty_each_ponds = repeats # The number of repetitions for each element in each pond.\n", + "\n", + "\n", + "# Vertical lines\n", + "for i in range(qty_unique_ponds):\n", + " plt.axvline(x=qty_each_ponds*(i+1) + 0.5, ls='--', color='white', alpha=0.3)\n", + " \n", + " partpool_error_mean = np.mean(partpool_error[(qty_each_ponds*i):(qty_each_ponds*(i+1))])\n", + " no_pool_error_mean = np.mean(no_pool_error[(qty_each_ponds*i):(qty_each_ponds*(i+1))])\n", + " \n", + " plt.hlines(y=partpool_error_mean, xmin=1+(qty_each_ponds*i), xmax=qty_each_ponds+(qty_each_ponds*i), ls='--', colors='black', alpha=0.7)\n", + " plt.hlines(y=no_pool_error_mean, xmin=1+(qty_each_ponds*i), xmax=qty_each_ponds+(qty_each_ponds*i), ls='-', colors='blue', alpha=0.7)\n", + "\n", + "score_no_pooling = 0\n", + "score_partial_pooling = 0\n", + " \n", + "for i in dsim.pond:\n", + " if no_pool_error[i-1] >= partpool_error[i-1]: # partial polling is better\n", + " plt.vlines(x=i, ymin=no_pool_error[i-1], ymax=partpool_error[i-1], ls='--', colors='green', alpha=0.3)\n", + " score_partial_pooling += no_pool_error[i-1] - partpool_error[i-1] # How partial pooling is better\n", + " \n", + " else: # no pooling is better\n", + " plt.vlines(x=i, ymin=no_pool_error[i-1], ymax=partpool_error[i-1], ls='--', colors='red', alpha=0.3)\n", + " score_no_pooling += partpool_error[i-1] - no_pool_error[i-1] # How no pooling is better\n", + "\n", + "plt.text(7, max_lim_graph, 'Tiny Ponds ($5$)', size=12)\n", + "plt.text(21, max_lim_graph, 'Small Ponds ($10$)', size=12)\n", + "plt.text(35, max_lim_graph, 'Medium Ponds ($25$)', size=12)\n", + "plt.text(50, max_lim_graph, 'Large Ponds ($35$)', size=12)\n", + "\n", + "plt.text(47, 0.25, f'Partial pooling is better by = {round(score_partial_pooling, 2)}')\n", + "plt.text(47, 0.24, f'No pooling is better by = {round(score_no_pooling, 2)}')\n", + "plt.text(47, 0.23, f'Partial Polling/No polling = {round((score_partial_pooling/score_no_pooling)*100, 2)}%')\n", + "\n", + "\n", + "plt.gca().set_ylim(-0.01, max_lim_graph + 0.05)\n", + "\n", + "plt.title('Pond survival error absolute \\n\\n Black dash line = partial pooling \\n Blue line = no pooling')\n", + "plt.xlabel('Pond Index')\n", + "plt.ylabel('Absolute Error')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3d528d29", + "metadata": {}, + "source": [ + "### R Code 13.20" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "2d7bc2cf", + "metadata": {}, + "outputs": [], + "source": [ + "# Reuse code in using Rethinking packages in R, here is automatically reuse!\n", + "# Just re-run from R Code 13.7" + ] + }, + { + "cell_type": "markdown", + "id": "0de0e34d", + "metadata": {}, + "source": [ + "## 13.3 More than one type of cluster" + ] + }, + { + "cell_type": "markdown", + "id": "e0133bfc", + "metadata": {}, + "source": [ + "#### Multilevel Chimpanzees\n", + "\n", + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\alpha_{ACTOR[i]} + \\gamma_{BLOCK[i]} + \\beta_{TREATMENT[i]} $$\n", + "\n", + "$$ \\beta_j \\sim Normal(0, 0.5) \\mbox{ , } j \\in \\{1, ... ,4\\} $$\n", + "\n", + "$$ \\alpha_j \\sim Normal(\\bar{\\alpha}, \\sigma_\\alpha) \\mbox{ , } j \\in \\{1, ... ,7\\} $$\n", + "\n", + "$$ \\gamma_j \\sim Normal(0, \\sigma_\\gamma) \\mbox{ , } j \\in \\{1, ... ,6\\} $$\n", + "\n", + "$$ \\bar{\\alpha} \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ \\sigma_{\\alpha} \\sim Exponential(1) $$\n", + "\n", + "$$ \\sigma_{\\gamma} \\sim Exponential(1) $$" + ] + }, + { + "cell_type": "markdown", + "id": "7fadb95d", + "metadata": {}, + "source": [ + "### R Code 13.21" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "be447731", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " actor recipient condition block trial prosoc_left chose_prosoc \\\n", + "0 1 NaN 0 1 2 0 1 \n", + "1 1 NaN 0 1 4 0 0 \n", + "2 1 NaN 0 1 6 1 0 \n", + "3 1 NaN 0 1 8 0 1 \n", + "4 1 NaN 0 1 10 1 1 \n", + "\n", + " pulled_left \n", + "0 0 \n", + "1 1 \n", + "2 0 \n", + "3 0 \n", + "4 1 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Previous chimpanzees models is in chapter 11\n", + "\n", + "df = pd.read_csv('./data/chimpanzees.csv', sep=';')\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "f0597ffa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
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" + ], + "text/plain": [ + " actor recipient condition block trial prosoc_left chose_prosoc \\\n", + "0 1 NaN 0 1 2 0 1 \n", + "1 1 NaN 0 1 4 0 0 \n", + "2 1 NaN 0 1 6 1 0 \n", + "3 1 NaN 0 1 8 0 1 \n", + "4 1 NaN 0 1 10 1 1 \n", + "\n", + " pulled_left treatment \n", + "0 0 1 \n", + "1 1 1 \n", + "2 0 2 \n", + "3 0 1 \n", + "4 1 2 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['treatment'] = 1 + df['prosoc_left'] + 2 * df['condition']\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "c340e064", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (101/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (201/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 14% (1100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 18% (1400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 29% (2300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 32% (2600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 52% (4200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 69% (5500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 84% (6700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000119 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000119 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_45vee3sf/model_vvfe2fid.stan', line 36, column 8 to column 39)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000121 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_45vee3sf/model_vvfe2fid.stan', line 36, column 8 to column 39)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000161 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.61 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_treatments] beta;\n", + " \n", + " vector[qty_chimpanzees] alpha;\n", + " real bar_alpha;\n", + " real sigma_alpha;\n", + " \n", + " vector[qty_blocks] gamma;\n", + " real sigma_gamma;\n", + " \n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // priors\n", + " beta ~ normal(0, 0.5);\n", + " \n", + " alpha ~ normal(bar_alpha, sigma_alpha);\n", + " bar_alpha ~ normal(0, 1.5);\n", + " sigma_alpha ~ exponential(1);\n", + " \n", + " gamma ~ normal(0, sigma_gamma);\n", + " sigma_gamma ~ exponential(1);\n", + " \n", + " // link\n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + gamma[ block[i] ] + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // linkelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "b29208fc", + "metadata": {}, + "source": [ + "### R Code 13.22" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "1d9fb8ea", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_4 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "834aa576", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
beta[0]-0.1780.296-0.5690.3520.0420.03054.01029.01.06
beta[1]0.3320.321-0.0830.8280.0770.05620.01608.01.14
beta[2]-0.5370.308-0.994-0.0690.0590.04331.01329.01.09
beta[3]0.2320.297-0.2210.7020.0460.03345.01159.01.06
alpha[0]-0.2630.405-0.8290.3200.1060.07717.01605.01.17
alpha[1]4.7631.2492.8116.4600.0350.0251182.01293.01.03
alpha[2]-0.6240.347-1.205-0.1040.0210.024400.01396.01.03
alpha[3]-0.5880.393-1.237-0.1120.0850.06124.01595.01.12
alpha[4]-0.2750.387-0.8990.2200.0920.06620.0860.01.14
alpha[5]0.6200.3530.0331.1610.0160.011507.01421.01.03
alpha[6]2.1210.4371.3832.7820.0130.0091137.01182.01.26
bar_alpha0.6780.714-0.4431.7950.0890.06365.01892.01.04
sigma_alpha2.0690.6241.0582.8310.0360.026135.01582.01.04
gamma[0]-0.1540.208-0.4710.1010.0250.01876.01477.01.04
gamma[1]0.0380.167-0.2270.2990.0040.0062537.01366.01.27
gamma[2]0.0430.173-0.2140.3190.0040.0061370.01513.01.05
gamma[3]0.0050.164-0.2720.2480.0030.0052437.01654.01.29
gamma[4]-0.0300.172-0.2860.2460.0030.0052766.01883.01.28
gamma[5]0.1030.187-0.1600.4020.0140.010395.01375.01.04
sigma_gamma0.1960.1730.0170.4050.0340.02511.04.01.29
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "beta[0] -0.178 0.296 -0.569 0.352 0.042 0.030 54.0 \n", + "beta[1] 0.332 0.321 -0.083 0.828 0.077 0.056 20.0 \n", + "beta[2] -0.537 0.308 -0.994 -0.069 0.059 0.043 31.0 \n", + "beta[3] 0.232 0.297 -0.221 0.702 0.046 0.033 45.0 \n", + "alpha[0] -0.263 0.405 -0.829 0.320 0.106 0.077 17.0 \n", + "alpha[1] 4.763 1.249 2.811 6.460 0.035 0.025 1182.0 \n", + "alpha[2] -0.624 0.347 -1.205 -0.104 0.021 0.024 400.0 \n", + "alpha[3] -0.588 0.393 -1.237 -0.112 0.085 0.061 24.0 \n", + "alpha[4] -0.275 0.387 -0.899 0.220 0.092 0.066 20.0 \n", + "alpha[5] 0.620 0.353 0.033 1.161 0.016 0.011 507.0 \n", + "alpha[6] 2.121 0.437 1.383 2.782 0.013 0.009 1137.0 \n", + "bar_alpha 0.678 0.714 -0.443 1.795 0.089 0.063 65.0 \n", + "sigma_alpha 2.069 0.624 1.058 2.831 0.036 0.026 135.0 \n", + "gamma[0] -0.154 0.208 -0.471 0.101 0.025 0.018 76.0 \n", + "gamma[1] 0.038 0.167 -0.227 0.299 0.004 0.006 2537.0 \n", + "gamma[2] 0.043 0.173 -0.214 0.319 0.004 0.006 1370.0 \n", + "gamma[3] 0.005 0.164 -0.272 0.248 0.003 0.005 2437.0 \n", + "gamma[4] -0.030 0.172 -0.286 0.246 0.003 0.005 2766.0 \n", + "gamma[5] 0.103 0.187 -0.160 0.402 0.014 0.010 395.0 \n", + "sigma_gamma 0.196 0.173 0.017 0.405 0.034 0.025 11.0 \n", + "\n", + " ess_tail r_hat \n", + "beta[0] 1029.0 1.06 \n", + "beta[1] 1608.0 1.14 \n", + "beta[2] 1329.0 1.09 \n", + "beta[3] 1159.0 1.06 \n", + "alpha[0] 1605.0 1.17 \n", + "alpha[1] 1293.0 1.03 \n", + "alpha[2] 1396.0 1.03 \n", + "alpha[3] 1595.0 1.12 \n", + "alpha[4] 860.0 1.14 \n", + "alpha[5] 1421.0 1.03 \n", + "alpha[6] 1182.0 1.26 \n", + "bar_alpha 1892.0 1.04 \n", + "sigma_alpha 1582.0 1.04 \n", + "gamma[0] 1477.0 1.04 \n", + "gamma[1] 1366.0 1.27 \n", + "gamma[2] 1513.0 1.05 \n", + "gamma[3] 1654.0 1.29 \n", + "gamma[4] 1883.0 1.28 \n", + "gamma[5] 1375.0 1.04 \n", + "sigma_gamma 4.0 1.29 " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_4, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "068dc7c7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "az.plot_dist(\n", + " [model_13_4.posterior.sigma_gamma], color='blue', quantiles=[.05, .89]\n", + ")\n", + "\n", + "az.plot_dist(\n", + " [model_13_4.posterior.bar_alpha + model_13_4.posterior.sigma_alpha],\n", + " color='black', quantiles=[.05, .89]\n", + ")\n", + "\n", + "plt.legend(['Block', 'Actor'])\n", + "plt.title('Posteioris')\n", + "plt.ylabel('Density')\n", + "plt.xlabel('Standard Deviation')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "efa9f1c0", + "metadata": {}, + "source": [ + "### R Code 13.23" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "0564b736", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 15% (1200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 40% (3200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 62% (5000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 81% (6500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 7.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000102 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_rpq3tyko/model_r7i3x47h.stan', line 28, column 8 to column 47)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.63 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_treatments] beta;\n", + " \n", + " vector[qty_chimpanzees] alpha;\n", + " real bar_alpha;\n", + " real sigma_alpha; \n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // priors\n", + " beta ~ normal(0, 0.5);\n", + " \n", + " alpha ~ normal(bar_alpha, sigma_alpha);\n", + " bar_alpha ~ normal(0, 1.5);\n", + " sigma_alpha ~ exponential(1);\n", + " \n", + " // link\n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // linkelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "b029a06d", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_5 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3b11b52a", + "metadata": {}, + "source": [ + "### R Code 13.24" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "46698673", + "metadata": {}, + "outputs": [], + "source": [ + "# az.compare(model_13_4, model_13_5)" + ] + }, + { + "cell_type": "markdown", + "id": "389b3d40", + "metadata": {}, + "source": [ + "### R Code 13.25" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "e34bd922", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (101/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (201/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 15% (1200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 19% (1500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 24% (1900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 28% (2200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 31% (2500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 55% (4400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 71% (5700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000122 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.22 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_59n9gjpm/model_ncxzodym.stan', line 31, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 9.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.91 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 9.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.98 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_59n9gjpm/model_ncxzodym.stan', line 34, column 8 to column 47)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000137 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.37 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters {\n", + " vector[qty_treatments] beta;\n", + " real sigma_beta;\n", + "\n", + " vector[qty_chimpanzees] alpha;\n", + " real bar_alpha;\n", + " real sigma_alpha;\n", + " \n", + " vector[qty_blocks] gamma;\n", + " real sigma_gamma;\n", + " \n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // priors\n", + " beta ~ normal(0, sigma_beta);\n", + " sigma_beta ~ exponential(1);\n", + " \n", + " alpha ~ normal(bar_alpha, sigma_alpha);\n", + " bar_alpha ~ normal(0, 1.5);\n", + " sigma_alpha ~ exponential(1);\n", + " \n", + " gamma ~ normal(0, sigma_gamma);\n", + " sigma_gamma ~ exponential(1);\n", + " \n", + " // link\n", + " for (i in 1:N){\n", + " p[i] = alpha[ actor[i] ] + gamma[ block[i] ] + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // linkelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "051d5432", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_6 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "92985ff0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest([model_13_4, model_13_6], combined=True, figsize=(17,12), hdi_prob=0.89,\n", + " model_names = [\"model_13_4\", \"model_13_6\"])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2c95abbe", + "metadata": {}, + "source": [ + "## 13.4 Divergent Transitions and non-centered priors" + ] + }, + { + "cell_type": "markdown", + "id": "1a82b1f4", + "metadata": {}, + "source": [ + "### R Code 13.26" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "cb1eebc6", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter v has 2 priors.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " parameters {\n", + " real v;\n", + " real x;\n", + " }\n", + " \n", + " model {\n", + " v ~ normal(0, 3);\n", + " x ~ normal(0, exp(v));\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "158f472e", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_5 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "b684be8b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
v3.5151.5081.2435.4860.2080.14837.026.01.1
x-34.371286.623-142.353209.82120.34014.404290.0232.01.1
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "v 3.515 1.508 1.243 5.486 0.208 0.148 37.0 \n", + "x -34.371 286.623 -142.353 209.821 20.340 14.404 290.0 \n", + "\n", + " ess_tail r_hat \n", + "v 26.0 1.1 \n", + "x 232.0 1.1 " + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_5, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "077d555e", + "metadata": {}, + "source": [ + "### R Code 13.27" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "97ee6912", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " parameters {\n", + " real v;\n", + " real z;\n", + " }\n", + " \n", + " model {\n", + " v ~ normal(0, 3);\n", + " z ~ normal(0, 1);\n", + " }\n", + " \n", + " generated quantities {\n", + " real x;\n", + " \n", + " x = z*exp(v);\n", + " }\n", + "\"\"\"\n", + "\n", + "posteriori = stan.build(model)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "3a716084", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_6 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "88f77684", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
v0.0552.991-4.4015.0180.0500.0483573.02181.01.0
z0.0180.998-1.5151.6630.0180.0153015.02616.01.0
x4.0283223.155-22.22030.35650.98236.0522943.02668.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "v 0.055 2.991 -4.401 5.018 0.050 0.048 3573.0 \n", + "z 0.018 0.998 -1.515 1.663 0.018 0.015 3015.0 \n", + "x 4.028 3223.155 -22.220 30.356 50.982 36.052 2943.0 \n", + "\n", + " ess_tail r_hat \n", + "v 2181.0 1.0 \n", + "z 2616.0 1.0 \n", + "x 2668.0 1.0 " + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_13_6, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "7b18d661", + "metadata": {}, + "source": [ + "#### 13.4.2 Non-centered chimpanzees" + ] + }, + { + "cell_type": "markdown", + "id": "c3e1f001", + "metadata": {}, + "source": [ + "### R Code 13.28" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "d719f814", + "metadata": {}, + "outputs": [], + "source": [ + "# Don't have apapt_delta in pystan3, until today." + ] + }, + { + "cell_type": "markdown", + "id": "24a26935", + "metadata": {}, + "source": [ + "### R Code 13.29" + ] + }, + { + "cell_type": "markdown", + "id": "75592884", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\bar{\\alpha} + z_{ACTOR[i]} \\sigma_\\alpha + x_{BLOCK[i]}\\sigma_\\gamma + \\beta_{TREATMENT[i]} $$\n", + "\n", + "To Actor:\n", + "$$ \\bar{\\alpha} \\sim Normal(0, 1.5) $$\n", + "\n", + "$$ z_j \\sim Normal(0, 1) $$\n", + "\n", + "$$ \\sigma_\\alpha \\sim Exponential(1) $$\n", + "\n", + "\n", + "\n", + "To Block:\n", + "\n", + "$$ x_j \\sim Normal(0, 1) $$\n", + "\n", + "$$ \\sigma_\\gamma \\sim Exponential(1) $$\n", + "\n", + "\n", + "To Treatment:\n", + "\n", + "$$ \\beta_j \\sim Normal(0, 0.5) $$\n", + "\n", + "\n", + "Where, each actor is defined by:\n", + "\n", + "$$ \\alpha_j = \\bar{\\alpha} + z_j\\sigma_\\alpha $$\n", + "\n", + "and, each block is defined by:\n", + "\n", + "$$ \\gamma_j = x_j\\sigma_\\gamma $$" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "09f1699e", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (2/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (3/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (4/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (103/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (202/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + 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"\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000171 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.71 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000152 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.52 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000158 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.58 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000234 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 2.34 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters {\n", + " // To treatments\n", + " vector[qty_treatments] beta;\n", + " \n", + " // To actors\n", + " real bar_alpha;\n", + " vector[qty_chimpanzees] z;\n", + " real sigma_alpha;\n", + " \n", + " // To block\n", + " vector[qty_blocks] x;\n", + " real sigma_gamma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // priors\n", + " beta ~ normal(0, 0.5); // treatment\n", + " z ~ normal(0, 1); // actor\n", + " x ~ normal(0, 1); // block \n", + " \n", + " bar_alpha ~ normal(0, 1.5); // Intercept to alpha (actor)\n", + " \n", + " sigma_alpha ~ exponential(1);\n", + " sigma_gamma ~ exponential(1);\n", + " \n", + " // Link\n", + " for (i in 1:N){\n", + " p[i] = bar_alpha + z[ actor[i] ]*sigma_alpha + x[ block[i] ]*sigma_gamma + beta[ treatment[i] ];\n", + " p[i] = inv_logit(p[i]);\n", + " }\n", + " \n", + " // Linkelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[qty_chimpanzees] alpha;\n", + " vector[qty_blocks] gamma;\n", + " \n", + " alpha = bar_alpha + z*sigma_alpha;\n", + " gamma = x*sigma_gamma;\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "3f1be292", + "metadata": {}, + "outputs": [], + "source": [ + "model_13_4_nc = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "adb86a60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(model_13_4_nc, hdi_prob=0.89, combined=True, figsize=(17, 13))\n", + "\n", + "plt.axvline(x=0, ls='--', color='red')\n", + "plt.grid(axis='y', color='white', ls='--', alpha=0.5)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "755cc932", + "metadata": {}, + "source": [ + "### R Code 13.30" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "cfebc789", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract features from ess\n", + "\n", + "# non-centered\n", + "ess_nc = np.array(az.ess(model_13_4_nc, var_names=['alpha']).alpha.values)\n", + "ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['beta']).beta.values)\n", + "ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['gamma']).gamma.values)\n", + "ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['bar_alpha']).bar_alpha.values)\n", + "ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['sigma_alpha']).sigma_alpha.values)\n", + "ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['sigma_gamma']).sigma_gamma.values)\n", + "\n", + "# centered\n", + "ess_c = np.array(az.ess(model_13_4, var_names=['alpha']).alpha.values)\n", + "ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['beta']).beta.values)\n", + "ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['gamma']).gamma.values)\n", + "ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['bar_alpha']).bar_alpha.values)\n", + "ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['sigma_alpha']).sigma_alpha.values)\n", + "ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['sigma_gamma']).sigma_gamma.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "e4762b69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "plt.scatter(ess_c, ess_nc)\n", + "\n", + "plt.plot([0, 2500], [0, 2500], ls='--', c='k', alpha=0.4)\n", + "plt.text(650, 500, 'Identity line ($x=y$)')\n", + "\n", + "plt.title('Effective number samples')\n", + "plt.xlabel('n_eff(centered)')\n", + "plt.ylabel('n_eff(non-centered)')\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_14.ipynb b/_sources/parte_14.ipynb new file mode 100644 index 0000000..334a88e --- /dev/null +++ b/_sources/parte_14.ipynb @@ -0,0 +1,7612 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e9bf0146", + "metadata": {}, + "source": [ + "# 14 - Aventuras na Covariâncias" + ] + }, + { + "cell_type": "markdown", + "id": "16ed1f97", + "metadata": {}, + "source": [ + "## Imports, loadings and functions" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "39e7ebea", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "from matplotlib.patches import Ellipse\n", + "import matplotlib.transforms as transforms\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel # Just work in < python3.9 " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7a78c92f", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "57b999a1", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8781d488", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e9b5e50f", + "metadata": {}, + "outputs": [], + "source": [ + "# https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html\n", + "def get_correlated_dataset(n, dependency, mu, scale):\n", + " latent = np.random.randn(n, 2)\n", + " dependent = latent.dot(dependency)\n", + " scaled = dependent * scale\n", + " scaled_with_offset = scaled + mu\n", + " # return x and y of the new, correlated dataset\n", + " return scaled_with_offset[:, 0], scaled_with_offset[:, 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b2d9f2d5", + "metadata": {}, + "outputs": [], + "source": [ + "# https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html\n", + "def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):\n", + " \"\"\"\n", + " Create a plot of the covariance confidence ellipse of *x* and *y*.\n", + "\n", + " Parameters\n", + " ----------\n", + " x, y : array-like, shape (n, )\n", + " Input data.\n", + "\n", + " ax : matplotlib.axes.Axes\n", + " The axes object to draw the ellipse into.\n", + "\n", + " n_std : float\n", + " The number of standard deviations to determine the ellipse's radiuses.\n", + "\n", + " **kwargs\n", + " Forwarded to `~matplotlib.patches.Ellipse`\n", + "\n", + " Returns\n", + " -------\n", + " matplotlib.patches.Ellipse\n", + " \"\"\"\n", + " if x.size != y.size:\n", + " raise ValueError(\"x and y must be the same size\")\n", + "\n", + " cov = np.cov(x, y)\n", + " pearson = cov[0, 1]/np.sqrt(cov[0, 0] * cov[1, 1])\n", + " # Using a special case to obtain the eigenvalues of this\n", + " # two-dimensional dataset.\n", + " ell_radius_x = np.sqrt(1 + pearson)\n", + " ell_radius_y = np.sqrt(1 - pearson)\n", + " ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,\n", + " facecolor=facecolor, **kwargs)\n", + "\n", + " # Calculating the standard deviation of x from\n", + " # the squareroot of the variance and multiplying\n", + " # with the given number of standard deviations.\n", + " scale_x = np.sqrt(cov[0, 0]) * n_std\n", + " #scale_x = n_std\n", + " mean_x = np.mean(x)\n", + "\n", + " # calculating the standard deviation of y ...\n", + " scale_y = np.sqrt(cov[1, 1]) * n_std\n", + " #scale_y = n_std\n", + " mean_y = np.mean(y)\n", + "\n", + " transf = transforms.Affine2D() \\\n", + " .rotate_deg(45) \\\n", + " .scale(scale_x, scale_y) \\\n", + " .translate(mean_x, mean_y)\n", + "\n", + " ellipse.set_transform(transf + ax.transData)\n", + " return ax.add_patch(ellipse)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "846eed0e", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_ellipse(mu, sigma, level, plot_points=None):\n", + " \n", + " fig, ax_nstd = plt.subplots(figsize=(17, 8))\n", + "\n", + " dependency_nstd = sigma.tolist()\n", + "\n", + " scale = 5, 5\n", + "\n", + " x, y = get_correlated_dataset(500, dependency_nstd, mu, scale)\n", + " \n", + " if plot_points is not None:\n", + " ax_nstd.scatter(plot_points[:, 0], plot_points[:, 1], s=25)\n", + "\n", + " for l in level:\n", + " confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)\n", + "\n", + " # ax_nstd.scatter(mu[0], mu[1], c='red', s=3)\n", + " ax_nstd.set_title('Cafés sampled - Figure 14.2')\n", + " ax_nstd.set_xlabel('intercepts (a_cafe)')\n", + " ax_nstd.set_ylabel('slopes (b_cafe)')\n", + " \n", + " ax_nstd.set_xlim(1.8, 6.2)\n", + " ax_nstd.set_ylim(-1.9, -0.51)\n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a22b8ee5", + "metadata": {}, + "source": [ + "## 14.1 Varing Slopes by Contructions" + ] + }, + { + "cell_type": "markdown", + "id": "08905ac0", + "metadata": {}, + "source": [ + "### R Code 14.1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "40888826", + "metadata": {}, + "outputs": [], + "source": [ + "a = 3.5 # Average morning wait time\n", + "b = (-1) # Average difference afternoon wait time\n", + "sigma_a = 1 # std dev in intercepts\n", + "sigma_b = 0.5 # std in slopes\n", + "rho = (-0.7) # correlation between intercepts and slopes" + ] + }, + { + "cell_type": "markdown", + "id": "f38f6542", + "metadata": {}, + "source": [ + "### R Code 14.2" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b76b4c23", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 3.5, -1. ])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Mu = np.array([a, b]) # Vector\n", + "Mu" + ] + }, + { + "cell_type": "markdown", + "id": "23188d9f", + "metadata": {}, + "source": [ + " ### R Code 14.3" + ] + }, + { + "cell_type": "markdown", + "id": "edb3aee5", + "metadata": {}, + "source": [ + "The matrix variance and covariance:\n", + "\n", + "$$ \n", + "\\begin{pmatrix}\n", + "\\mbox{variance of intercepts} & \\mbox{covariance of intercepts & Slopes} \\\\\n", + "\\mbox{covariance of intercepts & Slopes} & \\mbox{variance of slopes}\n", + "\\end{pmatrix}\n", + "$$\n", + "\n", + "And in math form:\n", + "\n", + "\n", + "$$\n", + "\\begin{pmatrix}\n", + "\\sigma^2_\\alpha & \\sigma_\\alpha\\sigma_\\beta\\rho \\\\\n", + "\\sigma_\\alpha\\sigma_\\beta\\rho & \\sigma^2_\\beta\n", + "\\end{pmatrix}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "8cd118fd", + "metadata": {}, + "source": [ + "### R Code 14.3" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f56495bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[ 1. , -0.35],\n", + " [-0.35, 0.25]])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cov_ab = sigma_a * sigma_b * rho\n", + "Sigma = np.matrix([\n", + " [sigma_a**2, cov_ab],\n", + " [cov_ab, sigma_b**2]\n", + "])\n", + "Sigma" + ] + }, + { + "cell_type": "markdown", + "id": "7b99f3ff", + "metadata": {}, + "source": [ + "### R Code 14.4" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "321eeea8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[1, 2],\n", + " [3, 4]])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.matrix([[1,2], [3, 4]])" + ] + }, + { + "cell_type": "markdown", + "id": "4bce32a1", + "metadata": {}, + "source": [ + "### R Code 14.5" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8cb7a663", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1. , 0.5])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sigmas = np.array([sigma_a, sigma_b]) # Standart Deviations\n", + "\n", + "sigmas" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2b0a55ce", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[ 1. , -0.7],\n", + " [-0.7, 1. ]])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Rho = np.matrix([\n", + " [1, rho],\n", + " [rho, 1]\n", + "]) # Correlation Matrix\n", + "\n", + "Rho" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "332f2046", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[ 1. , -0.35],\n", + " [-0.35, 0.25]])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Multiply to get covariance matrix\n", + "Sigma = np.diag(sigmas) * Rho * np.diag(sigmas)\n", + "\n", + "Sigma" + ] + }, + { + "cell_type": "markdown", + "id": "24035bd8", + "metadata": {}, + "source": [ + "### R Code 14.6" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0aad896c", + "metadata": {}, + "outputs": [], + "source": [ + "N_cafe = 20" + ] + }, + { + "cell_type": "markdown", + "id": "84f19e25", + "metadata": {}, + "source": [ + "### R Code 14.7" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "5039922a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 3.02149593, -0.9304358 ],\n", + " [ 1.05666673, -0.12762876],\n", + " [ 3.58546284, -0.46432203],\n", + " [ 4.3297356 , -1.53991745],\n", + " [ 3.27332508, -1.02933771],\n", + " [ 4.65859716, -1.5303893 ],\n", + " [ 3.93018946, -0.9524405 ],\n", + " [ 5.06625508, -1.869279 ],\n", + " [ 2.58529637, 0.0287956 ],\n", + " [ 5.07890482, -1.39033508],\n", + " [ 4.36801698, -1.65042937],\n", + " [ 4.31342478, -1.47263713],\n", + " [ 2.59854231, -0.38835499],\n", + " [ 3.39670791, -1.09000246],\n", + " [ 3.48373345, -1.03170127],\n", + " [ 2.63542057, -0.88644913],\n", + " [ 3.49374238, -1.03389681],\n", + " [ 3.58250316, -0.94285315],\n", + " [ 3.46768242, -0.50699357],\n", + " [ 3.77789108, -0.54770738]])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(5) # used to replicate example\n", + "\n", + "vary_effects = stats.multivariate_normal(mean=Mu, cov=Sigma).rvs(N_cafe)\n", + "vary_effects" + ] + }, + { + "cell_type": "markdown", + "id": "1ab4c654", + "metadata": {}, + "source": [ + "### R Code 14.8" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "b6ca78d7", + "metadata": {}, + "outputs": [], + "source": [ + "a_cafe = vary_effects[:, 0] # Intercepts samples\n", + "b_cafe = vary_effects[:, 1] # Slopes samples" + ] + }, + { + "cell_type": "markdown", + "id": "4f2eeab4", + "metadata": {}, + "source": [ + "### R Code 14.9" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "53f2e5ca", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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FbuqyZ121WoWqqlhbW4Msy9je3rZkHROd4eO/UkSoMsJwzLC+IiB4vIbv/9qzqQfyADAYDBCLxdBoNLjq4E8IIYTMO66DeEO73cbjx4+xu7sLRVGwsrJi0ermy3g8xqNHj7C0tIQHDx7QSQ5ner0e0uk0yuUyzs7O4Ha7KaPlJZjrso+OjuDz+ej7NgN0XUcul0MymcTx8TH8fv+dj1v8VKaHH/61Cgbj9957N1YEfOfHjvFR1+1Ni2g2m4hGowAAWZYpU4QQQgiZcTcF8YtfIHhlZ2cHX/mVX4mlpSV85jOfQbPZtHpJc2FlZQVvv/02VlZW8IUvfAGaplm9JHKH7t27h2AwiI985CPXvzuPHz9Gp9OxemkzbWlpCW63Gx/96EextraGz3zmM1BVlX5/LLa0tASXy4WPfvSjWF5exqc//Wmk02noun5na1BrlyfwZsMxQ6w+utWvu7e3hw996ENwOp149OgRHj9+jMFgcKtfkxBCCCG3g5sgHgCWl5cRDAYhyzIePXqEeDx+pzdv82ppaQnn5+fY29vD5z//ebrx49D6+jokScJXfdVXYXt7G++++y7effddNBoNq5c201ZXVyGKIj7ykY9gPB7jU5/6FFKpFCaTidVL49rq6ipkWcYHP/hBNBoNfPrTn0alUrmTry0drmF95f3p7OsrAsSD288IEAQBNpsNX/VVX4XNzU185jOfQTwex3g8vvWvTQghhJDp4Sad/mnD4RAXFxeYTCY4Pz/HvXu3l8a4SNLpNDKZDN555x2q9eWYrusoFotIpVJYWVmBx+PB8fEx1dq+gDGWrtlswu/3w2az0fdsBtRqNaiqeh3c32a9/F3XxN+E6uUJIYSQ2UU18c/BGEM2m0UymYQkSbDZbHewuvlXLBahqioePnxIdZWcY4yhUqkglUphPB7D4/Hg7OyMi1Feb8IYSzcajSCK4kx0TOcdY+y6Xv7o6OhW6+WN7vSx+gjiwe10p38VzWYTqqqCMUb18oQQQsiMoCD+BTqdDp48eYJ79+4hEAhQF+6XUKvV8OTJEwQCAZycnFi9HDIDGo0GUqkUOp3O9Xg6+l26mTGWbnl5GaIoYn9/3+olcU/TNCSTSRSLRbjdbrhcLi42pRhjKJVKiMVi2N3dhSRJ1IyREEIIsRAF8S9B13XEYjGUSiXcv38fBwcHt7S6xdFut/GlL30JdrsdPp/P6uWQGdHpdJBKpVCr1eBwOOB0OrG+vm71smaWMZYukUhga2sLfr/fsvFn5D29Xg+xWAydTgeSJHGzWTmZTK7LphwOBzweD01zIYQQQixAQfwrqNVquLi4wNnZGfx+PxcnMG9iOBzi0aNHWF9fx/n5OY2gI9f6/T4ymQyKxSJOTk7g8Xiwublp9bJmljH+LJVK4eDgAH6/n05CZ0C9Xkc0GsXq6iokScLOzo7VS7oTw+EQsVgM9Xqd6uUJIYQQC1AQ/4o0TUMoFEK/38fDhw+p6d0L6LqOi4sL9Pt9vPXWW3TqSt5H0zSk02nk83kcHh7C6/XS79QNxuMx0uk0stksbDYbvF4vlSVYjDGGfD6PRCJx6/Xys4bmyxNCCCHWoCD+NeXzecRiMfh8PjidzimsbLElk0lks1m89dZb2N3dtXo5ZMZomoZcLodMJoP9/X14vV5KG7/BaDRCIpFAuVyGy+WCy+WiTBeLaZqGVCqFQqEAl8sFt9vNRbaWUfIRi8VwcHAAURRps5YQQgi5ZRTEv4Fer4cnT55gbW0NwWCQm9OX11WpVBAKhaAoCk5PT61eDplB4/EY+Xwe6XQau7u78Hg8tOlzA/NYOp/PB5vNxkXgOMvM9fKiKHLzWjcej5FKpZDP57naxCCEEEKsQEH8G9J1HYlEAoVCAcFgEEdHR1N77EXU6XTwxS9+ETabDX6/3+rlkBk1mUyug/l79+7B5/NRqu4NWq0WYrEYhsMhRFHkptHaLDPq5VdWViBJEjebUeZNDFmWaUQiIYQQcgsoiJ+SRqOBJ0+e4OjoCJIkUWrrDUajEb70pS9RwzvyQrquo1gsIplMYmNjAx6PB4eHh1Yva2bVajXEYjEIggBJkmgsncUYYygUCojH4zg8PITf7+cm1bxWq0FVVayurkKWZSqPIYQQQqZoJoN4QRAOAfwMAB+ABID/ijFWf8bneQD8fQBuAAzA1zPGEjc99m0F8cBlTWQkEkGn08GDBw/opuUGRsO7Xq+Ht99+m5sbW/J6jLrbVCqFlZUVeDweOuF7DmOmdzwex7179yCKIr0WWcxINc/lctfz5XnYvGSMIZfLIZFI4OTkBH6/nxoxEkIIIVMwq0H8DwOoMcZ+SBCE7wZwwBj7rmd83icB/CBj7JcFQdgGoDPGejc99m0G8YZisYhoNAqPxwOXy0Wjd25ADe/Iq2CMoVKpIJFIAAB8Ph+Oj4/pd+wZnh5L5/P5aIyfxfr9PmKxGFqt1vVoNh5omoZEIoFSqQSv1wuHw0H18oQQQsgbmNUgPgTgaxhjeUEQ7AA+yRgLPvU5DwD8PcbYx17lse8iiAcub9YuLi4gCALu379PJ803oIZ35HVUKhUkk0lMJhN4PB6aVf0cNJZu9jQaDUSjUSwvL3NVL9/tdhGNRjEajSBJEpXGEEIIIa9pVoP4BmNs/+r/BQB148+mz/kGAN8GYATAD+DfAPhuxtjkpse+qyAeuDw1TKVSyGazUBSFmk3dwNzwzufzUTBGXlqtVkMqlcJgMIDX68XZ2Rmd8j3DaDRCMplEsVi8Hku3srJi9bK4xfNotkqlAlVVsbW1BVEUce/ePauXRAghhMwVy4J4QRD+DQDbMz70vQB+0hy0C4JQZ4wdPPXvvxHAPwDwQQApXNbQ/xJj7B8842t9O4BvBwC73f7hT3ziE9N6Gi+l2Wzi4uIC+/v7kCSJbpyfgxrekTfRaDSQTCbR6/Xgdrtht9vpGnqGXq+HRCKBRqMBr9cLu91Omx4WMtfLG6PZeLhudV1HJpNBOp2G3W6Hx+Oh90ZCCCHkJc3qSfzLpNN/NYD/hTH2m6/+/K0Avpox9idveuy7PIk3G4/HUFUVjUYD5+fnNC7rOXRdRygUQrfbpYZ35LW0Wi2kUim0Wq3rYJ6Cgy/XbrcRi8UwGAzg9/txcnJCGTAWMurlm80mJEnC6ekpFz+P4XCIeDyOWq0Gv98Pm83GxfMmhBBC3sSsBvE/AqBqamx3yBj7zqc+ZxnA5wD8VsZYWRCE/xPAZxhjf/Omx7YqiDeUy2VEIpHrtHE6AXu2VCqFTCZDDe/Ia+t0Okgmk2g0GnC5XHA4HFQL/gzmsXSiKOLg4ODF/4jcmmaziUgkgqWlJUiSxM2Gb6vVQjQaha7rUBSFm+dNCCGEvI5ZDeKPAPwsAA+AJC5HzNUEQfhKAH+CMfZtV5/32wD8NQACgM8C+HbG2Oimx7Y6iAcu08bD4TD6/T7u379P45+ew2h4J4oi7Ha71cshc6rX6yGZTKJWq8Fut8PtdlMw/xTGGMrlMuLxODY2NiCKInZ2dqxeFrfM9fL7+/sQRREbGxtWL+tOFItFqKp6XX5G2ViEEELIl5vJIP42zUIQbygUClBVFS6XCx6Ph1IIn6HX6+FLX/oS9vb2oCgKZS6Q19br9ZBOp1Eul6+D+bW1NauXNVN0XUc+n0cymcT+/j78fj+NpbOQuV7e6XTC4/FwUS8/mUze97x56RNACCGEvCwK4i02GAxwcXEBXddxfn5OXXqfYTwe4+LiAqPRCA8fPqSTGfJGBoMB0uk0isUibDYbPB4PBfNPGY/HyGQyyGazODs7o7F0FhsMBojFYmg0Gtfz5XnY9DX6BLRares+AYQQQgihIH4mMMaQy+WQSCTg9XrhdDq5uEF7VUad/IMHD7C/v2/1csicGw6HSKVSKBaLdDL/HKPRCPF4HJVKBR6PB06nk7JhLNRsNhGNRgEAsixzUzfeaDQQiUSwsrICWZap1IMQQgj3KIifIb1eDxcXF1haWsL5+Tk3NZCvolar4eLiAm63G2632+rlkAUwHA6RTCZRKpWuR13RqfP7dbtdxGIxdLtdiKJIJ6IWMtfL7+3tQZIkLt4rGGPI5/NIJBI4OjqC3++nTTdCCCHcoiB+xjDGkE6nkU6nqaHbc/T7fTx69Aibm5s0T55MjTmYdzgc1ADvGer1OlRV5a5z+iwy6saz2SwcDgc3c9Y1TUMymUSxWKTsEEIIIdyiIH5GdTodPHnyBBsbGwgEAlQH/pTJZIJIJIJ2u42HDx9SLwEyNYPBAMlkEuVymYL5ZzBOguPxOHZ3d+H3++n3z0K81sv3ej1Eo1EMBgNIkoSjoyOrl0QIIYTcGQriZ5iu60gkEigUCpBlmVJYnyGXyyEejyMYDOL4+Njq5ZAFQsH8zSaTCbLZLNLpNE5PT+Hz+ej7Y6FmswlVVbmbs16tVhGNRrG5uQlZlmlDiRBCCBcoiJ8DzWYToVAI29vbUBSFbpSf0mw28ejRI9hsNvj9fi5Oocjd6ff7SKVSFMw/h6ZpSCQSKJVKlN48A4x6+d3dXYiiyMWIQF3Xkc1mkUqlaJoCIYQQLlAQPycmkwni8ThKpRKCwSClDj5lNBrh8ePHAICHDx/SDRyZOiOYr1QqcDgccLlcdJ2Z9Ho9xGIxtNvt6+Z3tKFmjclkgnQ6jUwmw1W9vDFNoVqtwufzwW630zVICCFkIVEQP2cajQYuLi5wcHAASZK4uDF7WYwxxONxFItFPHjwgJt0UnK3er0eUqkUqtUqnE4nnE4nBfMm5jFokiTROEgLDYdDxGIx1Ot1+P1+2Gw2LoLadruNaDSK8XgMRVHoGiSEELJwKIifQ+PxGKqqol6v4/z8nG5QnlKpVBAOh+HxeOByuaxeDllQvV4PyWQStVoNTqcTLpeLNtWuMMZQKpUQj8exvb0NURSpVtlCrVYLqqpyF9SWSiWoqord3V1uRvERQgjhAwXxc8wIVk9PT+H3+2nUmkm/38eXvvQlbG1tIRAIUHBFbo05mHe5XHA6nXS9XTHXKp+cnMDn89FsbwuZg1pepgoYpQXmUXz0XkkIIWTeURA/5zRNQzgcRrfbxfn5OXZ3d61e0syYTCaIRqNoNpt46623uLhhJdbp9XpIJBKo1+sUzD/FPNvb5XLB5XJRIGWRyWSCTCaDdDrNVb28MYqv2Wxej+IjhBBC5hUF8QuiVCohGo3CZrPB5/NRd2iTfD6PWCwGRVFoTB+5dUYw32g04HK54HA4uAiSXkav10M8Hker1YLf7+dmpvksGg6HiMfjqNVqXNXLN5tNRCIRLC8vQ5Ik2vgmhBAylyiIXyDD4RDhcBiDwQD379/H9va21UuaGe12G48ePcLx8TFEUaRNDnLrut0uEokEms0m3G43HA4HnT5fMc80lyQJBwcHVi+JW+YmcLIsc/GzYIyhUCggHo/j8PAQoihSmQchhJC5QkH8AjJOnt1uN9xuNxenKy9D0zRcXFxgNBrhwYMHXMxPJtajYP75yuUyVFXF1tYWRFHE1taW1UvilvGz4KkR4Xg8RjKZRKFQgMfjgdPppA1eQgghc4GC+AXV7/cRCoXAGEMwGOTihuxlpdNppFIpBAIBnJycWL0cwolOp4NkMknB/FPMze+Oj4/h9/vpVNQiuq5f18vbbDZ4PB4uxif2ej2oqoperwdJknB8fGz1kgghhJAbURC/wBhjyGazSCaT8Pl8cDgcdCp/pdVq4fHjxzg8PIQsy3T6Qu5Mp9NBIpFAq9WCz+eDzWaj6w+XmTKpVAqFQgFOpxNut5s2OSwyGo0Qj8dRrVbh8/lgt9u5eO+o1WqIRqNYX1+HLMuUGUIIIWRmURDPgV6vhydPnmBlZQXBYJBm5V4xOvv3ej08fPiQshXInWq1WojH4+j3+/D5fNTk7Uq/30c8Hkej0eCq4dosarfbUFUVmqZBkiQcHh5avaRbp+s6crkckskkzs7O4PV6uchGIIQQMl8oiOcEYwypVAqZTAaSJMFms1m9pJmRy+UQj8fp+0Is0Wg0EI/HMR6P4fP5qMTjSrPZRCwWw3g85iaAnFXm3gWSJHGx4alpGmKxGKrVKm0mEUIImTkUxHOm0+ngyZMn2NzcRCAQoNrTK51OB48fP8bu7i4URaE0XnLnqtUq4vE4AMDv9+Po6MjiFc2GSqUCVVWxsbEBSZJo6oZFzPXyPJ1QG937J5MJFEXB3t6e1UsihBBCKIjnka7rSCQSKBQKUBSFTv6ujMdjRCIRtNttPHjwgIIFcucYY6hUKojH41hdXYUoihQ04L0U51QqhaOjI/h8Pqyvr1u9LC6Z6+W9Xi83vVaKxSJUVcXBwQFEUaTrjxBCiKUoiOdYs9nExcUFdnZ2oCgKF6cqL6NQKEBVVYiiCLvdbvVyCIcYYygWi0gkEtjc3IQoitjZ2bF6WZbTNA3pdBr5fB4OhwNutxsrKytWL4tLnU4H0WiUq3r58XiMVCqFfD4Pt9sNl8tFTSkJIYRYgoJ4zk0mE8RiMZTLZZyfn3NxI/Yyer0eHj16hK2tLQQCAQoUiCV0XUc+n0cymcTe3h58Ph91zAYwGAwQj8dRr9epXtliRrnD5uYmZFnmol6+1+shFouh2+3SSDpCCCGWoCCeALgcrRMKhXB4eAhJkihoxeUGRzQaRaPRwIMHD+gklFhmMplcp5MfHh7C5/Nhc3PT6mVZztw9XRRF6iNgEV3Xkc1mkUqlcHp6Cp/Px0VmlzGSbmNjg5sNDEIIIbOBgnhyTdM0qKqKRqOB+/fvUy3ulVKphEgkAo/HA7fbbfVyCMfG4zEymQyy2SyOj4+pNvxKpVJBLBbD2toaZFmmfhYWMTq6VyqV63r5RU83N29g2Gw2eL1e2gQnhBBy6yiIJ1+mUqkgHA7j7OwMfr9/4W/CXkav18Pjx4+xsbGBYDDIxSkTmV1GbXgul4PdbofH4+H+mmSMIZ/PI5FI4PDwEH6/nzY4LMJjvby54Z8oijg7O6MSD0IIIbeGgnjyTJqmIRwOo9fr4fz8nFLJcXniYvQPePDgAWUqEMsNh0Mkk0mUSiU4nU64XC7ug3mj+Vgul4PD4YDH46GTUYtUKhVEo1Fsb29DkiQuSkBarRai0SgYY1AUBbu7u1YviRBCyAKiIJ7cqFgsIhqNwuFwwOv10qk83stUcDqd8Hg8dNpCLNfv95FMJlGtVuF2u+F0OrG8vGz1siw1HA4Rj8dRq9W4GoU2ayaTyfV8eeN9ZNGvTWO6RCwWw+HhIURRxNramtXLIoQQskAoiCcvNBwOEQ6HMRgMEAwG6WQBl92xnzx5gqWlJdy/f59u0MhM6PV6iMfjaDab8Hg8XNQkv4iR2j0ajSCKInUSt8hgMEAsFkOj0YAkSTg7O7N6SbduPB4jmUyiUCjA4/HA6XRy//tICCFkOiiIJy+tWCxCVVXYbDb4fD7ub0YYY4jH4ygUCrh//z4ODg6sXhIhAC67tsfjcXS7Xfj9fqrPBVCtVhGLxbC6ugpRFGkz0iLNZhPhcBgrKyuQZZmLUq1er4doNIrBYABJkmiKAiGEkDdGQTx5JaPRCJFIBN1uF8FgkOrCcTlm6OLiAjabDX6/n/tgicyOZrOJeDyO0WgEn8+Hk5MTrq9PxhgKhQLi8Tj29/chiiI2NjasXhZ3zE0Ij46OIIoiF70cKpUKVFXF1tYWRFGkkXSEEEJeGwXx5LWUSiVEo1GcnZ3B5/MtfI3ji4xGIzx58gSTyQT379/nooETmR+1Wg3xeBy6rsPv93OfUj4ej5FOp5HNZqn5nYU0TUMikUCpVILX64XT6Vz4TSZd1697BBiTJejaI4QQ8qooiCevTdM0RCIRtNttnJ+fc38qzxhDJpNBKpWCJEmw2WxWL4mQ96lUKojH41heXoYoitjf37d6SZYaDoeIxWKo1+s0FsxC3W4XkUgEmqZBlmUuSpPM1x4vPQIIIYRMDwXx5I0Z3dpPTk4giiL3p/KdTgdPnjzBvXv3EAgEuEgTJfODMYZSqYR4PI579+5BFEVsb29bvSxLNZtNqKoKXdehKAr3G5JWMUbS7ezsQBRFLjKams0mIpEIlpeXuekRQAgh5M1REE+mQtM0RKNRNJtNBINBLk5SbjKZTBCLxVCpVHB+fs7994PMHl3XkcvlkEqlcHBwAJ/Px0XQdBNjLNju7i43QeSsMY+kM8Z4LvrGsLlXA089AgghhLw+CuLJVBmn8kdHR5Akiftav2q1ilAoRB39ycwy14fbbDZ4vV6uA4in55pTzbI1jJF0zWbzutRh0fHYI4AQQsjroSCeTJ2maYjFYqjVaggGgzg8PLR6SZbSNA2hUAiDwQAPHjygjsRkJo1GIySTSRSLRbhcLrhcLq6D1+FwiHg8jlqtBr/fD5vNRgGVBRqNBiKRCFZWVqAoChelH+YeAYqicN+7ghBCyJejIJ7cmlqthlAohMPDQ0oPBJDL5RCPx+H3++FwOKxeDiHP1Ov1kEgk0Gg04PV6Ybfbuc4gabVaUFUV4/GYAiqL8DqSrlwuIxqNYnd3F5Ik0ThEQggh1yiIJ7dqPB5DVVVUq1UEAgHuR1v1ej08fvwY6+vrCAaDWFtbs3pJhDxTu91GLBbDYDCA3+/nfsZ8qVSCqqrY3d2F3++njBoL8JhuPplMkEqlkMvl4HK54Ha7ud5UI4QQcomCeHIn6vU6QqEQ9vb2IMsyF6coz6PrOhKJBAqFAoLBII6OjqxeEiHPVavVEIvFIAgCRFHkukmjUS+fyWRoxreFeBxJ1+/3oaoqOp0OZFnmfkOcEEJ4x10QL4oi+8f/+B/TKYoFjI7t5XKZTuVxWev55MkTHB8f02g+MtMYYyiXy4jH49jY2IAoilyPwhoOh0gkEqhWq1Qvb6FyuQxVVbkaSVer1RCNRrG+vg5FUehehhBCOMVdEK8oCvuO7/gOuN1uuN1uuvGyQLPZxMXFBXZ2dqAoCten8pqmIRwOo9fr4f79+1w0bSLzS9d15PN5JJNJ7O/vw+/3cxE4PU+73UY0GsV4PObmRHjWTCYTpNNpZDIZbkbS6bqObDaLVCp1PVGCMkIIIYQv3AXxDx8+ZD/xEz+BcDgMTdMQDAa5PlGyymQyQSKRQLFYhCzLOD09tXpJlioUClBVFR6PBy6XizaXyEwbj8fXaeVnZ2fwer1c93cwToS3t7chiiKdjlrAPJJOkiQu3lNGo9H1JBhjDB+9dxBCCB+4DOKNmvhCoYBYLIazszP4fL6F372fRc1mE6FQCFtbW1AUhetAoN/v4+LiAktLSzg/P8f6+rrVSyLkRjSW7j26rl/Pl7fZbPB4PFxnGVnFGEm3uroKWZa5yG5qNpuIRqMQBAGyLGN3d9fqJRFCCLllXAfxwOVNaDQaRavVQiAQ4H6muRXMjd4kScLZ2ZnVS7IMYwzJZBK5XA6KouDk5MTqJRHyQv1+H/F4HI1GAx6PBw6Hg9sO2qPRCPF4HNVqFT6fD3a7nU5H7xiPI+kYYygUCojH4zg6OoLf7+d6U5wQQhYd90G8oVqtIhwO4+DgAJIkLfwb/ixqtVoIhULY2NhAIBDg+iS62WziyZMn19cjr6ebZL4YY+n6/T78fj9OT0+5DWA7nQ6i0Sg0TYMkSbRBbAEeR9JpmnadHcPLcyaEEB5REG8yHo+v3/B5PxG2iq7r1yfRkiTBZrNZvSTLjMdjRKNRNJtN3L9/n1Ikydyo1+uIxWJgjEEURa4D2Eqlgmg0iq2tLUiSRPXyFuBxJB2Pz5kQQnhCQfwzNJtNhMNhrK+vIxAIYGNj445WRwydTgcXFxdYW1vj/mdQKpUQiUTgcrng8XjoVIXMjVKphHg8jvX1dYiiyO1GlLmbuNEIkLK97h6PI+nK5TKi0Sh2d3chSRLX76WEELJIKIh/Dl3Xr8fWUEqaNcw/A7/fD4fDYfWSLDMcDvHkyRMwxnB+fs7FzSdZDLquo1AoIJFIYG9vD36/n9vTaHO9vNfrhcPhoPeVO8bjSDrzc3a5XHC73Qv/nAkhZNFREP8CvV4P4XAYuq4jEAhw0el21nS7XVxcXGB5eRnBYJDbAJYxhkwmg1Qqxf2mBpk/k8nkeizdyckJfD4ft423qF7eeoPBAKqqotVqcTOSznjO7XYbsizj+PjY6iURQgh5TRTEvwSj0208HofdbofP5+O287JVGGNIp9NIp9Pw+Xxcn2B1u108efIEa2trCAaDXDcAJPPHaLxVKBTgdDrhdru5bdxYqVSgqio2NzchyzK3GQpW4nEkXb1eRyQSwcbGBl13hBAypyiIfwXD4RDRaBTdbhfBYBB7e3tTXh15kV6vdz1LPRAIcHvzoes6UqkUstksZFmmJoxk7pjH0vn9fthsNi435sz18qenp/D5fFQvf8fMI+mOj4/h9/sX/mdgvu7sdjs8Hg+3m2mEEDKPKIh/DZVKBeFwmJv5s7PGnFbu8Xjgcrm4vPkHLkd6XVxc4N69ewgEAnQtkrnTarUQi8WgaRpEUcTR0ZHVS7KEpmmIx+Mol8vX9fKU8XW3jJ9BpVKBz+eD3W5f+PeW4XCIWCyGer0OWZa5KCsghJBFQEH8a9I0DbFYDNVqFYFAgGrLLGDuV3B+fs71qXw8HkexWKRrkcytSqWCWCyGtbU1btKan6Xb7SIajWI4HEKSJG43NazU6XQQiUQwmUygKAoXWXfGVJ7V1VUoioKtrS2rl0QIIeQGMxnEC4JwCOBnAPgAJAD8V4yx+jM+74cB/JcAlgD8MoA/zV6w6GkF8YZGo4FwOIytrS3Iskz1yXeMMYZcLodEIgG32w23273wJyfP02w28eTJE+zv70OSJDqVJ3NH13Xk83kkk0kcHh7C7/dz+5pq1MsbdcsUVN29YrEIVVVxcHAAURQX/lo0v5+enZ3B5/NRij0hhMyoWQ3ifxhAjTH2Q4IgfDeAA8bYdz31Ob8RwI8A+M+v/urXAPx5xtgnb3rsaQfxwOWNZyKRQD6fh9/v5yIFb9b0+32EQiFMJhOcn59ze8M7Ho+hqipqtRrOz89xcHBg9ZIIeWXj8RipVAq5XA4Oh4Pbel1z3fLJyQkXtdqzxrgW8/k8PB4PnE7nwpc5mEchiqIIm81m9ZIIIYQ8ZVaD+BCAr2GM5QVBsAP4JGMs+NTn/AYAPw7gYwAEAP8OwLcyxp7c9Ni3EcQbOp0OwuEw903XrJTL5RCPx69n4S76zdbz1Go1XFxc4OTkBKIo0kxgMpcGgwHi8Tjq9TrXc9XN9fK8BJKzptfrQVVV9Ho9yLLMRZlDq9VCJBLB0tISFEXhtsSFEEJm0awG8Q3G2P7V/wsA6safn/q8/xXAt+EyiP9xxtj3vuixbzOIBy7T0bLZLJLJJPeBpFUGgwHC4TBGoxHOz8+5vfHQNA2RSATtdhvn5+dc1HWSxdRut6GqKkajEURR5Lbvg1EvPxgMIEkSt98HKxllDltbW5AkCZubm1Yv6VYxxlAoFBCPx7np3E8IIfPAsiBeEIR/A+BZOVrfC+AnzUG7IAh1xtj78oIFQZAB/HUAf/Dqr34ZwHcyxv79M77WtwP4dgCw2+0f/sQnPjGV53ATI5AcDocIBAIUQFmgUChAVVU4HA54vV5uN1PK5TIikQhsNht8Ph+33wcy/6rVKmKxGFZXVyFJEnZ2dqxekiWq1SpUVcX6+jrVy1tA13VkMhmk02nY7XZ4vd6Fz3Yyd+7neSQkIYTMilk9iX+ZdPo/B2CDMfaXr/78cQADxtgP3/TYt30S/zSjMY4x/5fHuk4rDYdDhMNhDAYDrjdTRqMRwuEw+v0+7t+/z212wm1hjKFaraLVamE0GmE0GmFlZQXr6+tYW1vDxsYGdnZ2sLGxYfVS5555pvf+/j5EUeTy+6rrOnK5HJLJJNXLW2Q4HEJVVTSbTUiSxMV4tna7jWg0Cl3XoSgKdnd3rV4SIYRwaVaD+B8BUDU1tjtkjH3nU5/zBwH89wC+Dpfp9P8KwP/OGPvFmx77roN44HIHW1VV1Ot1BAIBLmrpZk2pVEI0Gr2+2eV1M8XITnC5XPB4PHSSMgXj8Rhf/OIXMZlMcHx8jPX1dayurmI8Hl8H9P1+H+12GwCwu7uLnZ0d7O/vY3d3l34Gr2k8HiOdTiObzcLhcMDtdnMZxGqahkQigVKpRPXyFmk0GohEIlhdXeVmPGKhUEAsFsPR0RFEUeTyd48QQqw0q0H8EYCfBeABkMTliLmaIAhfCeBPMMa+TRCEZQB/C5fd6RmAf8UY+7MvemwrgnhDrVZDOBzG7u4uFEWhN707pmkaYrEYarUaFEXhtp50MBjg4uICuq7j/PycGjC+oUKhgGKxiHfeeeeFAflgMECr1UK73UatVsNwOMTh4SGOjo5weHhIrwmvYTgcIpFIoFqtwuPxwOFwcBnE9no9RKNR9Pt9qpe3gHk8m5F5t+i/z5qmIZlMolgswufzcdt4khBCrDCTQfxtsjKIB4DJZIJEIoFisUijWyxSr9cRDoexvb0NRVGwtrZm9ZLunPmG0+v1wul00s3XawqFQrh37x7cbvcr/9vhcIhqtYpqtYpGo4GdnR0cHR3h6OiINldeUafTgaqq3Dd9M+rl19bWuDkVniXGZnG1WuWmdrzb7SISiUDTNK7L1ggh5C5REG+RdruNi4sLrK2tIRAILHyH21kzmUyQTCaRz+chSRK3mym9Xg8XFxdYWlrC+fk5l7XFbyqXy6HZbOL+/ftv9DiTyQT1ev06qF9eXsbJyQlsNhsF9K+gVqtBVVWsrKxAFEUuAwrzJh3Vy1vDXDsuyzIX16FRtnZwcABRFLG+vm71kgghZGFREG8hc4dbj8cDl8u18Dv2s6bdbiMUCmFlZQWBQIDLYIkxhnQ6jXQ6DVEUYbfbrV7SXBkMBvjsZz+Lr/7qr55qh+p2u41isYhisYitrS3YbDYcHx9z28/hVZjHYu3v78Pv93O5UWqeL0/pztYwascPDw8hiuLCZ36Nx2OkUink83nq0UAIIbeIgvgZ0Ov1EA6HMR6PuZ5rbhXGGDKZDFKpFNxuN9xuN5c3up1OB0+ePMHGxgaCweDC32xO0+PHj7GxsQFRFKf+2Lquo1arIZ/Po9ls4vj4GHa7nYuTvTc1mUyQTqeRyWRgt9vh8Xi4PJHudDqIRqPQNA2yLOPg4ODF/4hMzXg8RjKZRKFQ4Caw7fV6iEQiGA6HUBSFrjlCCJkyCuJniNE5nJe5s7Om3+8jHA5D0zQEg0EuZ1Druo5EIoFCoQBZlrkYmTQNo9EIn/70p/GBD3zgVjfhhsMhSqUS8vk8GGOw2Wyw2WyUtvoCo9HoesY1L0HUs5TLZUSjUezu7kKSJCqfuWPmwFaWZRweHlq9pFtXqVQQjUaxs7ND1xwhhEwRBfEzZjQaIRKJoNPpIBAI0O61BYz0x7OzM/h8Pi43U5rNJkKhELa2trht/veqcrkcstksPvjBD95Jynuz2UShUEC5XMbu7u51uj2PwenL6na7UFUVvV4PoihyuUllzk5wOp3weDxcvsZZyQhst7e3IUnSwpd6TCYTpFIp5HI5uFwuuN1uep0ihJA3REH8jKpUKohEItd1dDymgFppNBohGo2i1WohEAhwcWLyNPOpvCRJODs7s3pJMy8UCmE0GuGtt966s5KMyWSCcrmMQqGAbreL09NT2Gw2LjNJXla9Xkc0GsXy8jIkSeKyNGEwGEBVVbRaLUiSxOWGhpV0Xb/eTHE4HFxspvT7faiqim63C1mWcXR0ZPWSCCFkblEQP8PG4/F1UyJKbbZGtVpFOBzGwcEBJEnicjOl1WohFAphc3MTiqJQ6vYNdF3HF7/4RWxubiIQCNz51+/3+ygUCigUClhfX4fT6cTJyQmdej0DYwzFYhGxWAx7e3sQRXHhT0SfpdFoIBKJYHV1lUbSWcC8mSLLMk5OTqxe0q2rVquIRqPY2triIhOBEEJuAwXxc6DZbCIcDmNjYwOyLNMb3h0bj8dIJBIolUrcnkgbp/K8j+R7GZqm4dd//ddhs9lea3b8NDDGUK1Wkclk0Ov14HQ6YbfbqSziGczp5caJKG8TAGgknfWM7JDV1VUoioKtrS2rl3SreMxEIISQaaIgfk6Y3/DcbjdcLhedrt0xYzNlfX0dgUCAywY97XYbFxcXWF9fRzAYpFP55xgMBvjc5z6HQCCA4+NjS9fS6XSQzWZRLpdxfHwMp9NJqfbPMBwOEYvFUK/XIYoizs7OuJtSQSPprMUYQzabRTKZxNnZGbxe78JvphiZCO12G7IsW/56SQgh84KC+DljdLcdjUYIBAJc1nJaybyZ4vV64XQ6ubvJ1XUdqVQK2WyW5srfoNVq4Ytf/CLu378/Ez0VNE27br63ubkJl8uF4+Nj7q7fF2m1WohGo9B1HbIsY39/3+ol3TnzSDpFUbj8HljJmKZQrVa52VCq1+uIRCLXGYf37t2zekmEEDLTKIifU6VSCdFoFEdHR9T4zgK9Xg/hcBi6riMYDC586uOzdDodXFxcYHV1FYFAgMo8nqHZbOLRo0czVYah6zoqlQoymQxGoxFcLhdsNht3KeQvYtTL7+7uclsvTyPprGVsKAGALMvY3d21eEW3S9d1ZLNZpFIp2O12LktbCCHkZVEQP8eM1MdKpQJRFKlO+Y4xxpDP5xGPx2G32+Hz+bgrcWCMIZ1OI51OU/rtc3S7Xbz77rvXo5VmSbPZRCaTQaPRgN1uh9PppBIJk8lkgkwmg3Q6zW29vDEeLJvNXl/DVLt8d8wNGI+OjuD3+xe+t4W5tIWa+hJCyLNREL8AjFpt40SU0tDu1nA4RDQaRbfbRTAY5LLEodfr4eLiAktLS3QNPsNgMMC77757nTkzaxsd/X4fmUwGxWIRR0dHcLvd1KXcZDgcIh6Po1arwe/3w2azzdzP8Lbx2EV9lmiahmQyiWKxCI/HA5fLtfDXoPnehodmf4QQ8iooiF8QjDFkMhmkUik4nU54PB7uToWtVqlUEA6HuS1xMF+DvNxkvgpN067HzwWDwZn8/dQ0Dfl8HplMBvfu3YPb7aZZziatVguqqmI8HnNbK04j6axl7osjyzIODg6sXtKt4rHZHyGEvAwK4hfMYDC4PhUOBAIL/wY/azRNQywWQ7VanYnO5Fbo9XoIhUIAgGAwSKfyJpPJBI8fPwZjDA8ePJjZ1Gxd11EqlZBOpwEAXq8XJycntClzpVQqIRaLYXt7G6IocneN00g665n7FciyvPBlME83+6PyQUII77gL4s/Pz9nP/dzPWb2MW1epVBCJRLC/vw9Jkha+hm7WNBoNhMNhbG1tcXGD9TTz6Qmdyr8fYwyhUAjdbhfvvPPOzAc/lUoFqVQK4/EYHo+Hi07ZL8M8qcJms8Hj8cz8z3LazH1ZvF4v9cS4Y0a/glwuB4/HA6fTOZMZPtPUbDYRjUaxtLQERVEoE4QQwi3ugniv18t+9Ed/lIt05/F4jGQyiUKhcL1zTTdYd0fXdSQSCeTzefj9ftjtdu6+//1+H6FQCJPJBOfn51TTaBKLxVAul/HOO+/MRefzer2OZDKJwWAAr9eLs7OzhQ8YXsZwOEQikUC1WoXP5+Py95xG0lmr1+shGo1iMBhAUZSFz8BjjKFQKCAej+P4+JgyQQghXOIuiH/w4AH7wR/8QZTLZW5SsjqdDsLhMARBQCAQoEDqjhnff16bvpm7+BvdrSn4u2T0EHjnnXfm5kSp2WwimUyi0+nA4/HAbrdTt3IA7XYbqqpC0zQuapWfpVQqQVVV7O3tQZIk7jKQrGZk4PHy/TdngvDacJIQwi/ugnijJr7VaiEcDmNlZYWLwOrpcWher5duvO+QOb2c10B2MBggFApB0zScn5/PTdB620qlEiKRCILB4Fz1UGi1WkilUmi1WnC73bDb7TNb43+XyuUyVFXltl5+MpkgmUwin89z+1pnJfP3n5cU+3a7jWg0Cl3XoSgKdnd3rV4SIYTcOm6DeOD9gRUvge1oNEI0GkWr1YKiKNR5+o4NBgOEw2EMh0MEAoE3Gkc30Rk+m+tDrY0gHa7hw45NLC/N/ilEPp9HLBaDw+GA1+td+BvMl9FqtfDo0SOcnZ3B7/fP1WlSp9NBKpVCvV6Hy+WCw+HgPrVV1/Xr+fK8dtTu9XqIxWLodruQJGmuNqgWgbmL/Zu+18yLQqGAWCzG7YQYQghfuA7iDcac706nA0VRcHh4aNHq7k6tVkMkEsH29jaXjdesViwWoaoqTk9P4fP5XvkEc6IzfPxXighVRhiOGdZXBASP1/D9X3s2F4H8cDhEOBzGYDDA+fk5dnZ2rF6S5UajER4/foylpSXcv39/7m5Ae70eUqkUqtUq7HY73G733D2HaTN31Oa18Vu1WkU0GsW9e/cgSRJ3mQlWM7rY89LkVtM0JBIJlEolbnvREEL4QEG8SaVSed/IlkV/szOn3Xm9XjidTnqzu0OapkFVVdTrdQQCgVfKivhUpocf/rUKBuP3fkc3VgR858eO8VHX/NwkFwoFqKoKu90On8/H/am8ruvXIwrfeuutuexf0e/3kUqlUC6XYbfb4XK5uN8kNDd+kySJi41iM13Xkc1mkUqlYLfb4fF4qPTiDo3HY6RSKa7e6zudDiKRCKXYE0IWFgXxTzEHtj6fj4uTk16vh3A4jPF4jGAwSKeid6xWqyEcDmN3dxeKorzU6eU/ereBn363CfNvqADgWz6wh29+e/+2lnorhsMhIpEIer0egsEgF2mfL2JsbiiKgtPTU6uX81qGwyHS6TQKhQJOT0/h8XiwsbFh9bIsValUoKoqt6fSw+EQsVgM9XodkiTh7OzM6iVxxXiv1zSNixR7xhiKxSKl2BNCFhIF8c9h7OIyxhAIBLhowmXUk52cnMDv99NJyR2aTCZIJBIoFosvNTVhUU7izUqlEqLR6GuXGCyadruNR48eXf8+zmuWwmg0QiaTQS6Xw8nJCTwez1yM1Lst5lNpXuvlm80mIpEIlpeXada3BYxyrsPDQ4iiuPBZh9TFnhCyiCiIv4ExizQWi8Fms8Hr9S58YKFp2nU6r6IoODk5sXpJXGm327i4uMDa2hoCgcBzg515r4l/Hk3TEI1G0Wg0XrnEYBFpmoYnT55gMpngwYMHc52WrmnadTB/fHwMn88318/nTfFeL29MTEkkEjTr2wLj8RjJZBKFQoGbrMN2u41IJAIAUBSFsg4JIXONgviXMBqNoKoqGo0GFEXhostus9lEKBTCxsYGFEXh+uTsrpk7W3s8HrhcrmfeXBnd6WP1EcSD+elO/zJep8RgUTHGkEqlkM1mcf/+/bmfP65pGtLpNHK53HV9NM8/X6NefjQaQZZl7urlzaekPp+PGpHdsW63i0gkgvF4DEVRuEixLxQKiMfjODk5gc/n4/r1hxAyvyiIfwX1eh3hcBhbW1uQZXnh6zt1XUc6nUYmk4Hb7YbL5ZrblN55ZO5VwONc9VctMVh09XodT548gdPphMfjmftAZzgcIplMolwuw+FwwOVycX0zbTRW3d7ehiRJ3G2cGiVsk8mEi2By1vA2ns2cdUjvL4SQeURB/CvSdf36VOymU9JF0u/3EYlEpjLbnLw6cwd3r9eL5eVlq5d0p1qtFkKh0AtLDHgwHA7x+PFjLC8vz+UYumfp9/tIJpOoVqtwu91wOp3cXeMGY+M0nU7D4XBw2cXdqNc+ODiAKIpcl1zcNWM8W7lc5iYrotVqIRKJYGlpifozEELmCgXxr8nc5TUYDHIxvsRoPMbLTv0sGY1GiEQi6HQ6UBSFu5Tbly0x4IGu64jH4yiVSnjw4MHCbKr1ej3E43E0m014PB44HA5uM3+Gw+F1CRePXdzNI9EoC+zu8TaezejPEI/HuW02SQiZPxTEvyEjBY2Xxjzm+kVKQbt71WoVkUgEu7u7kGV54bsKP433EgOzSqWCcDgMh8MBr9e7MJsa7XYb8Xgc3W4Xfr8fZ2dnC/PcXpW5i7ssy9w14ur1elBVFb1eD7Isc9/o8i7xOJ7NnGLP4+YZIWS+UBA/BTy+8BspzqurqwgEAtzNO7bSZDJBMplEPp+H3+/nIuXxafl8HrFYjNsSA8NwOMTFxQV0Xcf5+flClRo0m03E43GMRiP4fD6cnJxwd50D72/ExUsw9bRKpQJVVbG1tQVRFOn95g7xOJ7N2DxbWVmBoijY2tqyekmEEPJlKIifomaziXA4jLW1NSiKsvA3GowxZDIZpFKp69NASnm8O91uF+FwGIwxBAIB7k6lzSUGgUBg7ru2vy7z76EkSQuXHVOr1RCPx6HrOvx+PxfTQZ5F0zQkk0kUi0V4PB44nU6uXm/NJTW8b95ZwTyejYf3G8YYcrkcEokENyOGCSHzhYL4KTPfaLhcLrjd7oW/0RoOh4hEIuh2u1wHU1YwTulisRi3NxqVSgWRSASHh4dcnlIaOp0Onjx5gnv37iEQCCzc96FSqSAej2N5eRmiKGJ/f9/qJVmi2+1ej6STJIm7/hhGv4BmswlJknB6emr1krjB43i20WiEWCyGWq0GWZbpeiOEzAwK4m9Jv99HNBpFv99HIBDg4obTCKb29va4rNe20mg0um6EpSgKd6eV4/EYsVgMlUrltW60JjrDZ3N9qLURpMM1fNixieWl+UsZnUwm19+H+/fvL9zrDmMMpVIJiUQCGxsb8Pv9C99063l4H0nXaDQQiUS4yXybJTyOZzMyLamEkBAyKyiIv2Xlcvn6lFCSpIXftTZmexcKBW7rta1Ur9cRDoextbUFWZaxsbFh9ZLuVLPZRCgUwubmJgKBwEuNp5roDB//lSJClRGGY4b1FQHB4zV8/9eezWUgD1w2QAyFQrDZbPD5fAuXDaTrOgqFAhKJBHZ3d+Hz+RY+vfdZjJF0mUyGyxRzcykJj8/faryNZ6PrjRAySyiIvwPj8RiJRAKlUombXetOp4NwOAxBELh4c58luq4jlUohm81yOY7N/Px9Ph8cDseNz/9TmR5++NcqGIzfe73bWBHwnR87xkdd83vaMhqNEAqFMBwO8eDBg4U8OdJ1HdlsFul0GoeHh/D7/VzOFed9JJ05xV6WZZycnFi9JG48PZ7N5/MtfEkXXW+EkFlAQfwdarfbCIfDWF5e5iIdy/zmTrvWd88Yx6ZpGoLBIHdpx0bjP+CyEdPzOgz/o3cb+Ol3mzC/2gkAvuUDe/jmt/dvfZ23LZfLIR6Pw+/3w+FwWL2cW6FpGtLpNHK5HBwOBzwez5cFEotSMnETc8qvLMvcbZ5Sir11eJzSQ9cbIcRKFMTfMcYYstkskskkN4HtaDRCNBpFs9nksl7basViEaqq4vj4GH6/f+FLOszMHYafN0FhUU/izXq9Hh4/foz19XWcn58v7DUwGAwQj8dRr9fh8/muy3kWsWTieczX/MnJCXe/80Z2BqU8W8O8kcTDeDa63gghVqEg3iLD4RDRaBTtdhuBQICLDsO1Wg2RSATb29uQZZnLtFermE9JeOywOxwOEQ6H0e/3EQwGsbe3d/0xXgI8Xdev+1UEg0EcHR1ZvaRb0263oaoqRqMRRFFEbHBv4Tdqnmae723e0OCF+T1WlmXaPL5DPI5no+uNEHLXKIi3WLVaRSQSwc7ODheBra7rSCaTyOVyXNZrW804JeE1/a9UKiEajeL4+BiiKF7fWBqp1rH6COLBYqZaG+r1Oi4uLq6/B4t8amSMpftkcoBPNo8grL93KrhIJRM3abfbiEajmEwmUBTlfRtYz7NIpQe1Wg3RaBSbm5uQZZm7Lv5W4nE8W71eRyQSwcbGBmRZ5u49lhBydyiInwGTyQTJZBL5fP6lGnEtAqNeezweIxAIcFevbSVz+p/L5YLb7V647uU3MWclBAIBLk9MNE1DOBxGr9db+H4JjDH8y8/F8GP/+ouYrO9i5dCFpdX1hT+Jf5pRVnNwcABRFJ+7YbyImSm6riOTySCdTsPpdMLj8XD1mmc13jaPzdeb0aNjkTdLCSHWoCB+hhiNuHRdRzAY5KIpUaFQQCwWw8nJCXw+H1e1m1br9/uIRqPo9/sIBAILN1P8RYxxfNvb21AUBWtra1Yv6c4Zv3+LOorOMNEZ/sIv5/AomkS3WsC9w1O8pfjwA7/NObeB6esYj8dIpVLI5/PweDxwOp1c9YgYDAZQVRWdTgeyLC90Scms4XE8m3G9UYo9IeQ2UBA/Yxhj1zfWvIxr4b1e22rlchmRSASHh4eQJImrjRRzFozf7+eubhi4THk1n8q/TLr1PDJSxMPFNja7eZwudeH3eeFwOBZ28+J5er0eotEoBoMBZFl+X0+WRZ/WAFyWsUWjUWxtbUGSJEqxv0M8jmcz+gHR9UYImSYK4meUpmlQVRW1Wg2KonDxRmek3K2vr0NRFHqju0Pj8RiJRAKlUgmiKMJms1m9pDvV6XQQDochCAIUReEiC+ZpRr8AY/Nw0U/JOp0OVFXFYDCAJElcnpJVKhWoqvq+4GKRT+LNdF1HOp1GJpPhsqzIaryNZzOut3Q6DbfbTdcbIeSNURA/43iuJXO73XC5XPRGd4fa7TbC4TCWl5cRCAQW/nozY4whn88jHo9zk+75NKNWvtPp4Pz8fGFP5c1qtRpUVcXKygokSVro/gDPYg5mHQ4HnC43/tKvVhaqJv4m/X4fqqqi2+1CURQuJsXMCh7Hs9H1RgiZFgri54D5jY6Xpjz9fh+RSATD4RCBQICLYGJWMMaQzWaRTCa5ubEyG41GiEajaLVa3NYxVioVhMNhnJycLHwHe+C9MqZ4PI79/X34/X7uMoGM+t1WqwVRkpEcbXExrcFQqVQQjUaxs7MDSZKwsbFh9ZK4weN4NrreCCFvioL4OTIYDBCNRrnawTVSfI+OjiCKIlf12lYzbqw6nQ4315uZUce4vb3NxfjHp2mahmg0imaziWAwiIODA6uXdOsmkwnS6TSy2SxsNhs8Hg93rzk8j8gy//wpE+zu8TYOUNd1pFIput4IIa+Fgvg5ZN7B5SG40DQNiUQC5XKZy3ptq1WrVUQiEezu7kKWZa66uOu6jmQyiVwuB4/HA5fLxV3jO+NU/ujoCJIkLXyjTeAyGyMej6NSqcDr5a/5He8jssyN/xRF4WIDa1bwOA7QPCmGrjdCyMuiIH5Ombtq8xJctFothMNhrKyscFevbTXz9ebz+eBwOBb+ejPr9XoIh8MYj8cIBALc1U0bEyRqtRqCwSA3WRndbhfRaBSj0QiSJHHzvA28j8iqVCrv28Bc9A3zWcLjOEDeDmgIIW+Ggvg5ZwQXmqZxUTtunjXrcDjg9XoXfpd+lnS7XYTDYTDGEAgEuOvibox/PDk5gd/v5+JU2qxWqyEUCuHw8JCr8hbj5np7exuiKHK3gWiUlty7d4+LNGezpzfMnU4nvefcId7GAU4mE6RSqevsL7reCCHPQ0H8gigWi1BVlZvacd7rta1kbgJ2enoKn8/HVTBrnEpXq1Vuxj+ajcdjqKqKarWKQCDAzemseUSUkWLO03Vv7mLPS5qzWa/XQyQSwWg0gqIo2N/ft3pJ3OBxHCBdb4SQF6EgfoE8XTt+dna28CnPxgkZj/XaVjManzUaDSiKwk0wZzDGP66vr0NRlIU/IXpavV5HKBTC3t4eZFle+I1Dw3A4RCwWQ71e5+Z11szcYJWXNGezcrmMaDSKvb09SJJEKc93iMfxbObrje5xCCFmFMQvIGPW99LSEgKBALa2tqxe0q0ypzv6/X7Y7XaubqqtVq/XEQ6HsbW1BVmWuRqVYz4h4rG78Hg8RjweR7lc5upUHrjcxIlGoxAEAbIsc9cnwUhz3t7e5m5EFo89aWYJb+PZzNeb1+uF0+mk640QQkH8omKMIZfLIZFIwGazwev1LnzqZ6fTQTgcBgAu67WtZB6Vw+NNbb/fRyQSwXA45KI3xdOazSYuLi64G8fHGEOxWEQsFrvuE8DTSZn5956XNGcz3nrSzBIexwHy3mCVEPJ+MxnEC4LwTQC+D8B9AB9ljH3mOZ/3dQD+OoBlAH+fMfZDL3psXoJ4w2g0gqqqaDQakGV54et3GWPI5/OIx+Ow2Wzw+XxcjUayGu83taVSCdFolJveFGY8nxaNx2Mkk0kUCgUum1GZR2TJssxFmrOZ8XvP40aO1XgcB2g0WD0+Pobf7+fqfYYQ8p5ZDeLvA9AB/F0A3/GsIF4QhGUAYQC/DUAGwKcB/CHG2OObHpu3IN7QaDQQDoexsbHBRf2uefOCx3ptqxmNFnm8yXi6N4XNZrN6SXeK59MioxnVcDjkJqAw43lElnkjh8cxnFbjbRygpmmIx+OoVCpcvs8QQmY0iL9egCB8Es8P4n8DgO9jjP2Oqz//eQBgjP3Vmx6T1yAeuEx9zGQySKfT3KQ+GqORtra2oCjKwr+xzxJzF3dJknB2dmb1ku5Uq9VCOBzGysoKAoEAd2PJeB7Hx1vNrhnvI7K63S4ikQjG4zEUReEuG8lKPI4DNL/PKIqy8D2QCCHvmecg/hsBfB1j7Nuu/vytAL6KMfannvG53w7g2wHAbrd/+BOf+MStrnvWmbsLBwKBhT8t0nUdyWTy+qaSt3ptqxld3NfW1qAoClfBLGMMmUwGqVQKDocDXq934W8qzXgex2fU7BpND3nYNDUz0pyHwyFkWV7495mn8Tb2dZbwNp7N3APJbrfD6/VSGSEhHLAsiBcE4d8AeFb+z/cyxn7h6nM+iSkE8WY8n8Q/zUg/42VUDs9pvlbTdR3ZbBapVIqbLBCz4XCIaDSKTqfDxcbZ03gr5zEzxmJ1Oh3IssxdaQ9v7zNmmqYhmUyiWCzS5BQL8DYOcDQaIRqNotlsUhkhIRyY55N4SqefAh6bUVFTGOsMBgNEIhH0+30EAoGFPyF5mjmg4W3mL+/j+Gq1GqLRKDY2NiDLMlcZKbyPZOt0OohEItB1HYqi0AbyHeLx2qvX64hEItjc3IQsy1xtmhLCk3kO4ldw2djutwDI4rKx3R9mjD266TEpiH82cx0fD6fU5jRfagpz9yqVCsLhMA4PDyFJElcbKZPJBIlEAoVCgcvTOXOqK28TDMwZKTymvfL8swfe20CmFPu7x9vkFPOmKY/Zb4TwYCaDeEEQfh+AHwNwAqAB4NcZY79DEAQHLkfJff3V5309gP8dlyPm/g/G2A++6LEpiL8ZbzcZRlOY5eVlKIpCs+Xv0Hg8RiKR4DbVtNPpIBwOAwACgQB31x7P4/iGwyFUVUWr1YKiKDg6OrJ6SXfKSHPe39+HJElcZaSYp1f4/X7YbDauXvesxts4QPP4Rx4nZhCyyGYyiL9NFMS/GG+jS8yz5c/OzuDz+bjqpG01nlNNeb/2eHuteVqtVkM4HOZ2JFsqleKqlMus3W4jEokAABRFwc7OjsUr4geP4wCNUi4eN84IWVQUxJPn4m10Ce8j0azEGEOxWOQqC8RM0zSoqoparTbVa2+iM3w214daG0E6XMOHHZtYXpq9m9VWq4VQKITV1VXuxvHx2JfEjLc0ZzPGGAqFAuLxOPVosQBv4wDNrzW8bF4QssgoiCc34nF0iTESbXV1lYvNi1liPpnlMdV0mtfeRGf4+K8UEaqMMBwzrK8ICB6v4fu/9mwmA3ljHF8ikUR99QidjTPIxxszu/EwbUYwO5lMEAgEuDuZNUay8dgn4+keLWdnZ1y97lmNt3GA3W4X4XCYy+w3QhYJBfHkpfA2uoQxhmw2i2QyCZvNBq/Xy1Was9V4TjWd1rX3qUwPP/xrFQzG772Ob6wI+M6PHeOjrtk86Z7oDN/7r1L44kUEw34P2zYf3GdH+A3uLchHs5tJME1GX5LT01PuyiuMPhmlUonLTbxWq4VIJIKlpSXq0XLHeBwHSJN6CJlvFMSTV8Lb6JLRaIRYLIZarQZZlnF6emr1krhhTjU9OTmBz+fj6iZjNBpBVVXU6/XXuvb+0bsN/PS7TZhfxQUA3/KBPXzz2/vTXOrUmDceJp06RpUklja2sXbswebG+kxnEkyTubxCURScnJxYvaQ71el0EAqFsLS0hEAgwFU2lLlPhs1mg8/nW/jst1nCW48WKiMkZH5REE9eGY+jS8xpzrzV7FqN93GAjUYDkUgEa2trUBTlpa+9eTyJf3rjgekTjOs5jJslrBzYsX1sx3f9ptOZXf+0NRoNhMNhbG5uQlEUbGxsWL2kO8NjKZeZsYnXaDS4yH6bNbxN6qF7HELmDwXx5LXxNrrEqNnldcaz1XhONX2d+eLzVhMPPHvjAQD00QBaJQmmDfCHfvPb+GMf81u0wrtn3jT1eDxwOp0Lv2lqxvs4vnq9jnA4jK2tLSiKwtUEA6vxdkptLuWiexxCZh8F8eSNGaNL9vb2IMvywo8uMW4qm80mZFnmLtXVSryPZDNfey9zOmd0p4/VRxAPZr+m3Lzx8HQgDwArwyZ+31kDH/ZdNj9b9HIes16vh0gkgtFoxF0Xd4DvcXy6riOZTCKXy8Hj8cDlci18vfYsMU6pXzUbal6ZN85kWaYsEEJmFAXxZCrMM395GV3yumnO5M3xdkLyNKM3xcbGBmRZXqhrz9h4iNaG+I+pPvKd8fsyCb7va06Qy2aQyWTgcDjg8Xi4Oi0qlUqIRqPcpPma0Ti+ywkG4/EYgUBg4eu1Z4k5G4qXMsJarYZIJIKtrS3IssxVOQ8h84CCeDJVvI0ueZ00ZzI9PI8DNF97ixrM3pRJMBgM3ndaxFNGjHkUI4+bWLyP46Ou4tYZDAaIRCLo9/sIBALY39+3ekm3Std1pFIpZLNZuN1uuFyuhd+8IGReUBBPbgVvNxnD4RDRaPS6bpPSz+6OuQEWj+MAjWuv3W5zmfpoZMTwuJHTarUQCoW4zQbieRyfORuJJqfcvUqlgnA4jMPDy9KeRb/H6fV6iEajGA6HUBRl4TcvCJkHFMSTW8NjV/FarYZoNIrNzU1IksTdTbWVeB8HaKQ+3rt3j4vxj2bmhkxnZ2fwer0Lf1NtMDfcdDqd8Hg8XJ2U8T6Oz8hGWl9fh6IoXP3eW208HiORSKBUKl3Pll905XIZkUgEBwcHkCRp4XsgETLLKIgnt4630SW6riOTySCdTi9smvMs4+16MzN3Muc1oDM2Dn0+H+x2Ozc100aa72AwwPn5OXcp5jyP4zO/5/BSrz1L2u02wuEwlpaWEAgEFj4baDweI5lMolAoXG9e8PI6S8gsoSCe3AkeR5cYNbu8pjlbifdxgIPBANFoFN1uF7IsczeWq9PpIBKJYDwec5f6aaSY22w2+Hw+roI53sfx9ft9RCIRDIdDLicYWMlc1sXLe47xOqvrOpe9KQixGgXx5E7xOJ6tWq0iGo1ia2uLu7FYVuPxejMzX3s8dhculUpQVRW7u7uQJImb5z8ajRAOh9Hv9xEMBhe+wejTeB/HZ6Q88zjBwGrmHiWKoiz8BipjDMViEbFYDCcnJ/D5fHS9EXJHKIgnluBtPJtxQpROp+F2uynd8Y7xdr2ZGd2FM5kMl9feZDK57q5spBov+gmZwRhHd3Z2Bp/Px83zNvA8jm88HiMej6NcLnPTk2aWVKtVRCIR7OzsQJZlrK+vW72kW8X72FdCrEBBPLEMj+PZ+v0+VFVFt9uFoig4PDy0eknc4PF6M+P92jOPpJMkiZvGh5qmIRwOo9Pp4Pz8nLtTad7H8bXbbYRCIaysrHDXI8Rqk8kEyWQS+XwePp8PDodj4WvHee5JQ8hdoyCeWI7HEVmVSgXRaBQ7OztcpfnOAh6vNzPztcfDCdHTjKyMlZUVSJLETaq5kWJ9enoKv9/P1QYW8F5wwWM2Do89aWZJt9tFOBzmpnac9540hNwVCuLJzKjX64hEItjY2IAsywt/kzWZTJBOp5HNZuF2u+FyubhKc7Yab9ebmZFinsvluLz2GGMoFAqIx+PY39+H3+/noleFpmmIRqNotVoIBoNcNfwDaByfsYHZ6XS4zMaxkvk15/T0FD6fDysrK1Yv61bx1h+AkLtGQTyZKTyOZ+v1eohGoxgMBlAUBQcHB1YviRs8Xm9mvF974/H4eiPNbrfD4/FwUTddqVQQDodxfHwMURQXPph4mjG9odfrcXndG/Xau7u7kGWZZn3fIU3ToKoq6vU6FEXhIhOsVqshEolge3ubMg8JmSIK4slM4nE8G+9pzlbi8Xozm0Z5x0Rn+GyuD7U2gnS4hg87NrG8NB/1n8PhEIlEAtVqFR6PBw6HY+FPaM3BRDAY5PJUtlKpIBKJYH9/H7Isc7GBY+CxXnuWNBoNhMNhbG5uQlGUhQ9sjQar2WyWy/GPhNwGCuLJTDN2cHkZz2a+saI3urvH2/VmZpR3ZDKZV+7iPtEZPv4rRYQqIwzHDOsrAoLHa/j+rz2bm0AeuJx7HIvF0O/3IYoiFyMJq9UqwuEwDg8PuevgDlxmYySTSRSLRfj9fthsNq6CWaNemzGGQCCA7e1tq5fEDWNqTSaT4eb9nvfxj4RMEwXxZOaZ3+iM4IKnNzpFUbirXbUS7+MA+/0+YrHYK2UlfCrTww//WgWD8XvvGRsrAr7zY8f4qGv+eg3UajWoqoqVlRWIorjwN5rj8RiqqqJWqyEQCHBZu9rpdBAOhyEIAgKBALa2tqxe0p0x6rVjsRhsNhu8Xi93JRZW4jGw5Xn8IyHT8sZBvCAIpwD+MwAOAH0AXwLwGcaYPs2FTgsF8fOLxxFZ5XIZ0WgUe3t7kCSJUuzvEI/Xm1mtVkM0GsX6+voLu3n/o3cb+Ol3mzC/YwgAvuUDe/jmt/dve6m3gjGGYrGIWCyGvb09iKK48JkZ9XodoVAI+/v7kCSJuxtrxhhyuRwSiQSXje9GoxFUVUWj0eCmXnuWFItFqKrKTWA7Ho+RSCRQKpUgiiJsNpvVSyJkrrx2EC8Iwn8B4LsBHAL4PIASgA0AAQASgJ8D8NcYY61pL/pNUBA//3gbz/Z0ir3L5eIq3dNqvF1vZrquI5vNIpVK3XhCt2gn8WaTyeS6+aHxPVjkm+vxeIx4PI5yuYxgMMjlqfxwOEQ4HMZgMODmZNSsXq8jHA5ja2sLsixz9ZpnNU3TEIvFUK1WIUkSzs7OrF7SrWu32wiHw1heXqbZ8oS8gjcJ4n8EwI8xxlLP+NgKgN8FYJkx9k+ntdhpoCB+MZibpPAyIqvX6yEcDkPTNC5vLK3E4/VmNhqNEIvFUKvVIIoizs7O3reRtCg18TcZjUaIx+OoVCpc1K/W63VcXFzg+PgYkiQt9HN9HiPll8cu/k83IqPN47vVbDYRDoextrb2wkyoRcAYQzabRTKZ5HJSDCGvg2riyVzr9/uIRqPo9/vcjAoybiwPDg4gSRKNB7pDPF5vZs1mE9FoFIIgQFEU7OzsXH/M6E4fq48gHsxXd/pX0e12EYvF0O12IYoiTk9PrV7SrdE0DeFwGL1eD/fv3+ey6ZlxMlqr1bhMMTdvHgeDQezu7lq9JG6YM6F4Ke8wZst3Oh0uy9gIeRXTqIk/A/BXADgZY18nCMIDAL+BMfYPprvU6aAgfjHxNp7N6KhcKBTg9XrhdDrplOQO8Xa9mRlNsOLxODe1m89Sr9ehqiqWlpYgSdJCZ8YUCgWoqsr1iayRYr69vQ1FUbjbPDXqtY+Pj+H3+7n8nbfKYDBANBpFr9dDIBDgotFttVpFJBLB7u4uZFnm7veNkJcxjSD+XwL4PwF8L2PsA1ep9J9njL093aVOBwXxi4vH8WzdbheRSIRS7C3A4/Vmpmna9WguXjeSjOZ38Xgcu7u78Pv9C5v22uv1cHFxgeXlZZyfn3O1cWUw/86Logi73W71ku4Uj/Xas6RSqSASiWB/fx+yLC/8Ror5983v98Nut3P3HkPITaYRxH+aMfYRQRA+zxj74NXf/Tpj7Cumu9TpoCB+8fE4no23rrazhMfrzcy8kcTj8wcubzaz2SzS6TROT0/h9XoX8uSIMYZEIoF8Po9AIMBdarmh0+ng4uICKysrXDbi4q1ee5aYO7r7/X7YbLaFD2y73S7C4TAYYwgEAlyW9RDyLNMI4j8J4A8A+GXG2IcEQfhqAP8LY+w3T3WlU0JBPD94G89mvLkXi0XatbYAb9fb00qlElRVxe7uLndd/A2apl3/DjocDrjd7oXcUGs2m3jy5AkODg4gyzKXDagYY8hkMkilUlw2uzTXa7tcLrjdbq6ev9WMju5LS0sIBALY2tqyekm3ylzGdXZ29txJKYTwZBpB/IcA/BiAt3A5I/4EwDcyxt6d5kKnhYJ4vvA4nq3T6SASiUDXdSiKQo2I7hCP15vZZDK57mht3NjzGOANBgMkk0lUKhW4XC64XK6F+z6Mx2NEIhG0Wi3cv3+f29eZfr+PcDiM0WiE8/Pz9zV75IG52Scv9dqzgjGGXC6HRCIBu90Or9e7cK8zTxuNRlBVFY1Gg8tGk4SYvcmIuW9ijP0TQRD8ANIAggAEACHGmHYrq50CCuL5xON4tkKhgFgsRin2FjCn2MuyzF0X+8FgAFVV0Wq1IMsyTk5OrF6SJXq9HuLxOJrNJjweDxwOx8KdVpZKJUQiEbhcLng8Hq42rcyM19uzszP4fL6FD6aeVi6XEYlEcHh4CEmS6P3mDhkd3dvtNhRFwdHRkdVLunVGo8mtrS3Issxl5hchbxLEf+4qff5zjLEP3doKp4yCeL4Z49kODw8hiuJC1q2aGem95XKZm/q5WWKk2POaYt5oNBCJRLC6ugpZlrmtZex0OojH4+h0OvD5fAv3ezgYDHBxcQEAOD8/5+46N2iadp2dEAgEuBuPZa7XFkURNpvN6iVxpVarIRwOczM1Rdf168wvHjPfCHmTIP6XATAAHwHw75/+OGPs90xrkdNEQTzhcTxbu91GJBIBgC+b701ul5FinsvluKwdNad8npyccD2eqtlsIh6PYzgcwufz4fT0dGFeexhjSKfTSKfTkGWZ687l1WoV4XCYmy7iTzPqtZeXl7ls/Gclc0kXL/c35kzLYDDIbWkP4c+bBPFrAD4E4KcAfNvTH2eM/eq0FjlNFMQTg9FVezweQ1GUhU+xNzeGoVm/d6/f70NVVXQ6HciyzF0tn6ZpiMfjqFQq8Hq9cDgcC39z+Tz1eh3xeByTyQR+v3+hroV2u40nT55cz1Pn9TXGfCrN4zg2xhiy2SySySQ39dqzxOjorus6AoEAFxv3xpQeur8hvJhGY7sTxlh56iu7JRTEk6fxNp7NPOtXFEWcnZ1xG0xZoVarIRqNYn19ncvxTJ1OB9FolOuRdIZKpYJ4PI6lpSWIorgwvRMmkwmi0Sjq9ToePnzIRQDxPMY4tvX1dQQCAe5KDcz12jyWGFjN6NVwenoKn8+38B3dzfc3sizj9PTU6iURcmumEsQD+C4ADwBcvzsxxr52WoucJgriybPwOJ6t1WohEolgaWkJiqJwW69sBfN4JpvNxuW4HBpJd4kxhlKphEQigfX1dfj9/oXJCjKa3vn9fjgcDquXYxld15FOp5HJZLit3TVKDA4ODqjx3R3TNA2qqqJWq0FRFC4ajRqbZ2tra1xulhM+TCOI/wSAnwHwHQD+BIA/CqDMGPuuaS50WiiIJzfhbTwbYwz5fB7xePx6p55uru7OaDRCLBZDrVbjshGUuV+A0+nkdiQd8F65SyKRwPb2Nvx+/0JsrPV6PTx69Ajb29sIBALc/nyB92p3J5MJgsHgQvx8XwXvJQZWazQaCIfD2NzchKIoC79xat4s57EfDVl80wjiP8sY+7AgCO8yxt65+rtPM8Y+MuW1TgUF8eRl8Dae7ekUe96CSas1m01EIhEsLy9DlmXu0o+NkXTtdhuiKHKdAqnrOnK5HFKpFPb29uD3++f+FGkymSAcDqPT6eDhw4dz/3zehLFZE4vFYLfb4fP5uAsseC8xsNLTWSFOp3Phr79+v49oNIp+v49AIMB1CRdZLNMI4v8TY+yrBUH41wD+BoAcgJ9jjEnTXep0UBBPXhaP49nMwSSl2N8tc+NBXjaPnmaMpFtZWeFyM8NsPB4jm80ik8ng6OgIXq8Xm5ubVi/rjeTzecRiMSiKwvVGDfBerXin00EwGOQusDAHk7x0UZ8lvV4PkUgEo9EIgUBgYUp4blIulxGJRHB4eEglHWQhTCOI/124HDHnBvBjAHYB/CXG2P89zYVOCwXx5FXxNp7NPBLs7OyMi2Y4s8TYPCqVSvD5fNx1cTdvZhweHsLv9y/8vOObaJqGdDqNXC6Hk5MTuN3uuT7JbrfbePToEY6OjiBJ0sKfAr5IpVJBOBzmduPOKDHQdR3BYBBbW1tWL4krvDX2NZd0UNYhmXdvHMTPGwriyevgcTybuV6b6hfvHu9d3Mfj8XW9vNvthsvl4rqeWtM0ZDIZ5HI5HBwcwOv1zm3Ao2kaLi4uMB6P8fDhQ6ytrVm9JEuZy5mCwSCOjo6sXtKdMvdm4bXEwErm8Z+8vNe3222Ew2EsLy8jEAjM9cYo4dc0TuJ/EsCfZow1rv58AOCvMcb+u2kudFooiCdvwvxmx8t4NqN+cXV1FYqizG3gMK+MLu57e3uQJIm7U+l+v49YLIZWqwVJkrhPwx6Px8jlcshkMtjb24PH45nL7CDGGBKJBPL5PB4+fMhFOu+L1Ot1hEIh7O3tQZblhd8ofppRYtDtdhEMBumauGO8dXRnjCGbzSKZTMJut8Pr9XK9UUzmzzSC+M8zxj74or+bFRTEk2ngbTyb+c2O15FoVppMJkgmk8jn89x22W00GohGo1heXoYkSQs/OeJFJpMJcrkc0uk0dnZ24PF45jLoqVQqCIVCEEURdrvd6uVYbjweIx6Po1wuIxAI4Pj42Ool3TneSwysxBhDJpNBKpWC0+mEx+NZ+Pcac38KRVFweHho9ZIIeSnTCOK/AOBrGGP1qz8fAvhVxtjbU13plFAQT6bFnGJ/cnLCxXi20WgEVVVRr9chyzL3p6J3rdfrQVVV9Ho9SJLE3Q0+YwzFYhGxWAwHBwcQRZG7zISn6bqOfD6PVCqFzc1N+Hy+uSu96PV6+NKXvoS9vT0oirLwQcPLaDabuLi4wM7ODhRFWfj3lqeZSwx43cyw0mAwuM6KCAQCODg4sHpJt65arSISiWB3dxeyLHNf5kNm3zSC+D8C4HsA/JOrv/omAD/IGPupqa1yiiiIJ9P29Hg2HlLsjS7ivKTdzZpqtYpoNIp79+5BkiTuvv/menkjM4H3NEhd11EqlZBMJrG2tgaPxzNXtdXj8RgXFxfQNI3q5K9MJhMkEgkUi0VuN02N2eZbW1uQZZn7Tbu7VqlUEIlEsL+/z0WJhznrjcfGsmS+TKWxnSAIDwB87dUff4Ux9tj0sQPjlH4WUBBPbouRYi8IAhdd7HVdRzabRSqVonoyC+i6jkwmg3Q6DbvdDo/Hw12Jg7le3thA4x1jDKVSCalUCoIgwOfz4ejoaC5uRI06+WKxiHfeeYe7zannaTabCIVC2NragqIo3G1w6Lp+3T/B7/fDbrfPxfW8KIyO7sVi8bqj+6J//7vdLsLhMBhjCAQCC18ySebTrXenFwThc4yxD73xA00JBfHkNvE463s4HEJVVTSbTSiKQmmPd2w4HCIWi6Fer3PTWfhpzWbzukeFJElzWRs+bYwxVKtVJBIJMMbg9XpxcnIyFzffRqfyt956i/veBwYjkC0UCtz+nnc6HYTDYSwtLVFHcQt0Oh2EQqHr7/+iN7k138+dnp7SuF0yc+4iiJ+pJncUxJO7YMz6LpfL8Pl8XJwc1Ot1RCIRbGxsQJZlusG6Y0Ygu7y8DFmWFz4T5Gnmevn9/X2IooiNjQ2rlzUTqtUqkskkNE2D1+vF6enpzNedGw3v7t+/T42mTFqtFkKhEDY3N6EoCnfp5eYmq7w2+bQSYwy5XA6JRIKbDDxN0xCNRtFoNOiggswUOokn5BZ1Oh1EIhFMJhMoirLwJ4RGincqlYLD4eDiDX6W8JgJ8rTxeIx0Oo1sNnvdXZmuwUv1eh3JZBKDwQAejwdnZ2cz/b1pNpt49OgRtyfPz6PrOpLJJHK5HCRJgs1ms3pJd24wGCAcDmM4HCIYDFLGxh0bjUaIRqNotVpQFGWu+m+8rnq9/r7+DLRJTKxGQTwhd6BQKCAWi+Hw8BCiKC58TaM5xZ5me989TdOQTCZRLBbh8XjgdDq5O60aDAaIxWJoNBrcNJx8Wc1mE6lUCu12G3a7HU6nc2Zfk7rdLr7whS/A7XbD7XZbvZyZ0ul08OTJE6yvryMQCHAZVBSLRaiqSunOFqnVaohEItje3uai8aCu60ilUshms/B4PHC5XPS+QixD6fSE3JHxeIxkMolCoQCv1wun07nwL/5GF/vV1VUoirLwNXSzptvtIhqNYjQaQZIkLtOSm80motEoAECW5YXPhnkVvV4P6XQa5XIZJycncLvdM1kGMxgM8O677+L4+BiiKFq9nJliDipEUYTdbrd6SXdO07Tr0aeBQICLU+FZYu7ozsu9Ta/XQzgchqZpCAQC9L5CLDGt7vQfAvAxAAzAf2CMfc70sUPGWG0ai50GCuKJ1brdLiKRCDRNg6IoczfT+VWZaxiN0xLeUrytVqlUEI1Gsb29DUmSsLm5afWS7hTVy99M0zRks1nkcjlsb2/D7XbP3FxoTdPwxS9+EZubmwgGg9xllryI0XRsZWUFgUCAu99x4PJUOBwOY3d3F4qi0PvMHTMC28lkgkAgwEVfFiMT5Pj4GH6/n645cqemMSf+47icDf/zV3/1DQD+CWPsB153UYIgfBOA7wNwH8BHGWOfecbnuAH8vwGc4XLz4O8xxv76ix6bgngyK0qlElRVxd7eHiRJWvg0NE3TEIvFUK1W4ff7uRhTM0t0XUc6nUYmk+GmIdHTJpPJ9amlw+HgcizfTXRdR7FYRCaTAQC43e6ZaoI3mUzw+PFjMMbw8OFD7q7fF2GMIZ1OI51OczvjejKZfNk4NHK3jPJBXkoczPc21L+D3KVpBPEhAB9gjA2u/rwJ4NcZY8HXXZQgCPcB6AD+LoDveE4QbwdgZ4x9ThCEHQCfBfAN5hn1z0JBPJkl5jQ0XmqX2+02IpEIGGOU3mwBo19Bo9Hg9obDPJaP6uW/HGMMtVoNmUwG3W4XDocDDodjJurmdV1HOBxGr9fDO++8s/ABwuvo9Xq4uLjgehRbu93GxcUF1tbWuM1MsJJR4lCr1aAoCk5OTqxe0q1rNpsIh8N0zZE7M40g/t8C+H2MscbVn/cB/Dxj7GvfdHGCIHwSzwnin/G5vwDgxxljv3zT51EQT2ZRr9dDNBrFYDCALMsLX7tsTm/mpdnfrOF9JB1w+T1QVRW6rnMxPeJ1dLtdZDIZlMtlHB0dweVyzcS1EgqFMBqN8NZbb9EGzDMwxq4nhfDagMuYlpJOp7n9Hlit0WggHA5jc3MTsiwvfGD79DXHw8EMsc5rB/GCIPwYLtPYPQA+AuCXr/782wB8ijH2+990cS8bxAuC4APw7wC8xRhr3fS5FMSTWWbULu/s7ECSpIWv2zU3+6M3vLtHI+kuGRtKu7u7EEVx4W80X4emacjn88hms9jY2IDT6cTx8bFlv6+6rl/XyAcCAUvWMA96vR5CoRAAIBgMcnkqb9Rqj8djnJ+fY3t72+olccVcysXLZkqv10MkEsFoNKIRiOTWvEkQ/0dvemDG2E/e9HFBEP4NgGcVK30vY+wXrj7nk3hBEC8IwjaAXwXwg4yxn3/O53w7gG8HALvd/uFPfOITNy2NEEtNJpPrNzxjrNKiB7bGG95wOOQiE2HWmEfSeb1eOByOhb/mnmb+vaN6+edjjKFSqSCbzaLX68HpdMJms1nS00PTNPz6r/86bDYbjZ+7gbm5qPGesuhB1LMYtdo2m43LniBWM97nNU1DMBiciYye22ZccycnJ/D7/fSeQqbq1kfMvYkXBfGCIKwC+OcA/jVj7Edf5jHpJJ7Mi36/D1VV0e12IUkSjo+PrV7SreO9i7rVaCTdZb18PB5HrVaD1+uF3W7nbkPjZbXbbeRyOZTLZezu7sJut+Po6OhOv1+DwQCf+9znEAgEuHiNfBP9fh+hUAiTyQTn5+dcjvwcjUaIRCLodDoIBAIzN4WBB0Zge3Z2Bp/Pt/CbKeb+APQ6RabpTU7ifxHA3wPwrxhj2lMfEwH8NwASjLH/43UXd1MQL1xuI/8kgBpj7M+87GNSEE/mTbVaRTQaxb179yBJ0sKnQ5pPRJ1OJzwez8K/yc8a2ky5HNllbGiIokg3XjeYTCYol8soFArodrs4PT2F3W6/s7TldruNd999F++88w4Xp3tvKpfLIR6Pw+VywePxcHkqX6lUEIlErnuy8FhGZKXRaIRoNIpWq4VAIMDFhnG9Xkc4HMbW1hYURVn4iUTk9r1JEG8D8GcB/AEANQBlABsA/ACiuGwy9wuvsyhBEH4fgB8DcAKggctu979DEAQHgL/PGPt6QRA+BuDfA/giLjvZA8D3MMZ+6abHpiCezCNzsxQj1XfRA9vBYABVVdFqtSDLMhfdbWcJjaS7VK1WEYvFsLq6ClEUqbbxBfr9PgqFAgqFAlZXV2Gz2XB2dnbrQVKhUEA6ncZXfuVXchmUvqrBYIBQKITxeIz79+8v/Obws4zHY8TjcZTLZciyjNPTU6uXxJ1qtYpwOIyDgwNIkrTwmym6riOZTCKXy8Hr9cLpdNLrFXltU0mnv2osZwfQBxBmjPWmtsIpoyCezLPhcHi9e81LYFuv1xGNRrG2tgZZlrlMAbUSjaR7fwPA/f19iKK48E0n3xRjDPV6HYVCAbVaDQcHB7DZbDg8PLy1m9YvfOELODw8pPr4V2CcyvPScOxZjNFgGxsbCAQCdEJ6x8ybKby8x3S7XYTDYTDGEAgEqNkieS0zXRN/GyiIJ4vAHNgqirLwpyi6riObzSKVSuHs7Axer3fhd+xnDY2ku7zZTKfTyGazcDgccLvddB2+BE3TUC6Xkc/nMRwOYbPZYLPZpv661ev18PnPfx4f/ehH6efyCowO9oIgIBgMclk+o+s6UqkUstksfD4fHA4HlxsaVjJvpiiKsvAbpcbmcCwW4zrbjbw+CuIJmVPmwNZut3PRTXs0GiEej6NarUIURZydndGN1h2ikXSXhsMhEokEqtUqPB4Pl938X1e320U+n0epVMLGxgaOj49xdHQ0tQybL33pSzg5OeHiNG+azHPlRVGE3W63ekmWMI/kCwQClPl1x8xlXLykmxvNFtvtNjf9Ach0UBBPyJwbjUZQVRX1ep2bVLRWq4VIJAJBECDLMtUp3zHzSDqPxwOn08llENvpdBCLxdDv9yGKIhflLdOi6zrq9Tqq1Sqq1SoEQcDR0RGOjo6wv7//2tdTLpdDs9nE/fv3p7xiPnS7XTx58gRra2sIBoNcppYzxpDL5ZBIJK6bq/L4+mYlYzOFMYZgMMjFZorRH2Bvbw+yLGNtbc3qJZEZN9UgXhCEAwBuxti701jcbaAgniwqIxVtdXUVsiwvfI0VYwzFYhGxWAxHR0fw+/30pnfHer0eVFVFr9fjZgzis9RqNaiqipWVFYiiiL29PauXNHe63e51QN/pdHBwcICjoyMcHBy8UlptMpnEaDSCoii3uNrFZjTfyufz3GwMP8twOEQkEkGv10MwGKTf6zvGGEM+n0c8HofD4YDX6134zZTJZIJEIoFCocB1Rgx5OW8cxF+Ngfs9AFYAfBZACcB/YIz92Smuc2ooiCeLzHyCwEvtuPlUmJf0u1ljBLG8bCA9i3lTaW9vD6IocllbPA2apqFWq6FSqaDZbAIAdnd3sbOzg52dHWxubmJ9ff19N/STyeR6hNODBw+wv79v0eoXR6vVwsXFBba2thAIBBb+veR5yuUyIpEIjo+PIYriwpetzRoeN1Pa7TZCoRBWVlYQCAQWvu8ReT3TCOI/zxj7oCAI34bLU/j/WRCEdxlj70x7sdNAQTzhgaZpiMViXNWOd7tdRCIRaJoGWZZxcHBg9ZK4YmwgJZNJrjMjJpMJMpkMMpkMNxtpt20wGKDVaqHdbqPdbqPf70PTNCwtLWF1dRWapkHXdWxvb8Pn81FN6RRNJhPE43GUSiUEAgFus22M99RarQZFUbj9PljJ2EzhpR+LuU8FlXWQZ5lGEP9FAL8dwE8C+F7G2KcpiCdkNphrxxVF4aKjeLlcRjQaxe7uLiRJWvgOt7OG6uUvGU0YK5UK19+H28IYw3g8hqZpWF1dXfgbeqs1Gg1cXFxgf38fsixzexptZHvs7OxAURS67u6Y+YCCl02lwWCASCSCfr/PTSYCeTnTCOK/CcBfxGUK/f8gCIII4EcYY39gukudDgriCW947Cg+mUyuxwW53W643W4KoO6YUS/f7XYhyzIXN1vP0u12EYvF0O12IYoiTk9PrV4SIa9lPB5DVVXUajWcn59zm+1kzk5QFIUaWlqg0WggFAphe3sbsixz0YCRt0wE8mLUnZ4QTmiahkQigXK5DJ/PB7vdvvAp9v1+H6qqotPpcB1IWonq5S/V63WoqoqlpSVIkkSnKWRuVatVhEIhnJycQBRFbmdbN5tNhEIhbG1tQVEULsuHrKTrOhKJBPL5PPx+Pxf3NJqmXWd48dx0klyaxkl8AMDfBnDGGHtLEIR3APwextgPTHep00FBPOFdp9NBJBLBZDKBoihcBBO1Wg3RaBTr6+tQFIWaxNwxo8twIpHgul7eaH4Xj8exu7sLv99P1yKZS5qmXc+2Pj8/5+J95FkmkwmSySQKhQIFVRbpdDoIh8NYWlripgmcMY3IuKehJqp8mkYQ/6sA/hyAv8sY++DV332JMfbWVFc6JRTEE3KpUCggFovh8PAQoigufFCl6zqy2SxSqRRsNhu8Xi+3dZ1W0TQNqVQKhUIBbrcbLpeLyzKHyWSCbDaLdDqN09NT+Hw+So0kc8lI8bXZbPD5fFz+PgOX/WdCoRA2NzehKAoX6d2zhDGGbDaLZDIJl8vFRQmdrutIp9PIZDLweDxwuVwLn4lA3m8aQfynGWMfMbrUX/3drzPGvmK6S50OCuIJec94PL4+ReBlPNtoNLruMiyKImw2m9VL4k6v10MsFkOn04EkSdzWlBqpkeVymZrfkbk1Go0QCoUwGAxw//59bktmjPRuY8Y3vbfcvcFggHA4jOFwiGAwiN3dXauXdOt6vR4ikQhGoxE3z5lcmkYQ/y8B/CkA/4Qx9iFBEL4RwB9jjP3O6S51OiiIJ+TLmcezKYrCxYzlZrOJSCSC5eVlyLLMRef+WVOv1xGNRrGyssL1z8DY1Gi329fN7xZ9M40snkKhAFVV4XK54PF4uL2G2+02Li4usL6+jmAwSKfyFigWi1BV9TrTiYesOyO78uTkBH6/n4vnzLtpBPEigL8H4DcCqAOIA/gWxlhymgudFgriCXk+Yzzb3t4eJEla+JsPHjv3zxrzz+Dw8BB+v3/hr7vnaTQaUFUVACBJEhebaWSxDAYDXFxcQNd1nJ+fc1Gf/Cy6rl9PSBFFEXa73eolcUfTNKiqinq9jkAggKOjI6uXdOvMz1lRFGrmu+Cm1p1eEIQtAEuMsfa0FncbKIgn5GZGo558Ps9Niq/Rub9UKnFTVjBrxuMxUqkU8vk8XC4XXC4Xl12vGWMolUqIxWLY2dmB3+/H1taW1csi5KWZ65N5fz3tdDq4uLjA6uoqgsEgNjY2rF4Sd2q1GsLhMHZ3d6EoChcb9fV6HeFw+HpyAq8b44tuGifxRwD+ZwAfA8AA/BqA72eMVae50GmhIJ6Ql9Pr9RCNRjEYDCDLMg4PD61e0q0zlxXIssztHGQr9ft9xGIxtFotSJLE7Vx1cyPGo6Mj+Hw+CgDIXOn1eri4uMDS0hLOz8+5vX4ZY0ilUshkMvD5fHA4HNxualhlMpkgkUigWCxy069A13Ukk0nkcjm67hbUNIL4Xwbw7wD8w6u/+hYAX8MY+61TW+UUURBPyKupVCpQVRVbW1uQJImLUSblchmqqmJnZweiKHLxnGdNo9FAJBLBysoKJEnitlmPpmlIp9PI5XKw2+3weDxcnCSRxcAYQzqdRjqdhiRJXARPz9PtdhEKhbC0tIRgMEjvKxYw+hWsra0hEAhw8TPodrsIh8NgjCEQCHDbeHIRTSOI/7JxcoIgfJEx9vaU1jhVFMQT8urMo0wcDgc8Hs/CpzpPJpPr5+x0Orl4zrPGXC9/cHAAURS5TQscDodIJBKoVCpwu91wOp10PZK50el08PjxY2xvb3OT0vwsjDFkMhmkUinuSw2sous6MpkM0uk0N6PZGGPI5/OIx+Ow2+3wer30/rEAphHE/yiATwH42au/+kYAH2WMfcfUVjlFFMQT8vqGwyFUVUWz2eQm1XkwGCAWi3H1nGeNUS+fy+WuZwDzegPS6/UQj8fRbDbh9/ths9kW/gaULIbJZAJVVVGtVnH//n2uGzf2ej2EQiEAQDAY5LYBoJV6vR7C4TDG4zHOz8+5OKEeDoeIRqNot9sIBAJclEkusmkE8W0AWwD0q79aAtC9+n/GGJupHEgK4gl5c0aq8+rqKmRZ5uLNj8fnPGvM9fKiKOLs7MzqJVmm2WwiHo9jNBpBFEXqQkzmRqVSQTgchs1mg8/nW/jGqc9jbgDIy4nwLDJGI/J0Ql2tVhEOh7G3twdZlrG2tmb1kshrmFp3+nlBQTwh08EYQy6XQyKRuJ7FuugpkkZKWiKRoJF0Fmo2m4hEIlhaWoIkSdjb27N6SZapVquIxWJYXl6GKIpcn26S+TEajRAKhTAcDvHgwQOuT6KNE+HJZILz83OaRmGB0WiESCSCTqeDQCDARVNbo9lfoVCgMYhzaipBvCAIvwfAf371x08yxv75lNY3dRTEEzJdmqYhFouhWq3C5/PBbrcv/GkCjaSzHmMMxWIRsVgM+/v7EEWR6+7XxWIRiUQCW1tb8Pv9lClC5kI2m0UikYDf74fD4bB6OZYxb4q7XC54PB56T7FApVJBJBLB4eEhN5v07XYboVAIKysrCAQCXG+ozZtppNP/EICPAPj/XP3VHwLwGcbYn5/aKqeIgnhCbke73UY0GsVkMoGiKFycjtJIOuuZ6+V5b0BojKVLp9M4ODiA3+/ndmODzI9er4dHjx5hc3MTwWCQi8DpeQaDAUKhEDRN46ZOe9aMx2PE43GUy2XIssxFHxxzw0XjfZTXMpd5Mo0g/l0AX8EY06/+vAzg84yxd6a60imhIJ6Q21UsFqGqKlfdxMvlMqLRKHZ3d2kknUWMBoSNRuO6Xp7Xk6zxeIx0Oo1sNgubzQav18t1YERmn67riMfjKBaLOD8/577hVj6fRywWo4DKQs1mE+FwGBsbGwgEAlzcywwGA0QiEfT7fQSDQS4OY+bZtIL4r2GM1a7+fIjLlHoK4gnhlHE6ms/n4fF44HQ6F/4mhEbSzYZms4loNAoAkGWZ65uQ0WiERCKBcrkMl8sFl8tF1ySZafV6HU+ePMHp6SlEUVz4942bDIfD674B5+fn2NnZsXpJ3NF1HalUCtlsFj6fDw6Hg4vN4XK5jEgkQr1/Ztw0gvg/BOCHAPxbAAIua+O/mzE2k5EyBfGE3J1erwdVVdHr9SDLMo6Ojqxe0q0bDAZQVRWtVotG0lmE6uXfzzyWzufzwWazcR0ckdmmaRrC4TB6vR7u37/PfUq5uXs6z938rWQeCRgIBLhoPmjudxQIBGgCygyaVmM7Oy7r4gHgU4yxwpTWN3UUxBNy9yqVClRVxb179yBJEheNU2gknfUmk8n1KYrD4YDH48HKyorVy7JMq9VCLBbDcDiEKIo4OTmxekmEPJcRvNL4tctTeXOa8+7uTE1v5oK5+aDD4YDX6+ViQ6XRaCAUCmF7exuyLHNRVjAvXjuIFwThQzc9MGPsc2+4tltBQTwh1tB1HZlMBul0mpt5rOaRdMfHx/D7/ZSWZgGql3+/Wq0GVVWvR/TRWDoyq3q9Hi4uLrC8vIzz83PuAwij58zZ2Rl8Pt/Cv4fOImNDpdfrcVM3rus6EokE8vk8/H4/F1OI5sGbBPH/9obHZYyxr33Txd0GCuIJsdZwOISqqmg0GpAkCWdnZ1Yv6dbRSLrZ0Gw2oaoqGGPc18szxlAqlRCPx3Hv3j2IokjZImQmMcauAwhK633/TPPz83OuX8esZNSNHx8fQxRFLrK8Op0OQqEQlpeXaRzdDJhKOv08oSCekNlgdH7lKd2cRtJZzwheY7EYTRPA5QlLLpdDKpXC/v4+/H4/198PMruazSaePHmCg4MDyLLM/Sm0EUSenp7C7/dz//2wAo9144wxZLNZJJNJuFwuuN1uLsoKZtE0Gtt9E4B/xRhrC4LwFwB8CMBfZox9frpLnQ4K4gmZHbymm9NIOuuZpwlQvTyNpSPzYTweIxKJoNVq4f79+9zXhmuahkgkgna7jWAwSKUxFjHXjSuKgrW1NauXdOsGgwHC4TCGwyECgQBlhFhgKiPmGGPvCILwMQA/AOBHAHycMfZV013qdFAQT8js0TQN8XgclUoFPp+Pi3orGkk3G4bDIWKxGOr1OtXL4zJVN5lMolgsXo+l43lzg8ymUqmESCQCl8sFj8fD9e8scNk8NhwOc5XaPWsmkwmSySTy+TxEUYTdbrd6SXfC6NNwenoKn89H194dmkYQ/3nG2AcFQfirAL7IGPtp4++mvdhpoCCekNnV6XQQjUahaRo3O7s0km42tFotqKqKyWQCWZa5P9Hq9XpIJBJoNBpwu91wOp2UMklmymAwwMXFBQDg/Pyc6zGSwOVmuNFvJhAI4PDw0OolcYnHunFN0xCNRq+vPR7GCc+CaQTx/xxAFsBvw2UqfR+XY+Y+MM2FTgsF8YTMvlKpBFVVsbe3x82MbxpJNxuMa49KHS51Oh3E43F0Op3rGfO8n3qS2cEYQzqdRjqdhizLXDRKfZFqtYpQKISjoyOIokhlMRZgjCGTySCVSsHtdsPlcnGxCVqr1RAOh7G7uwtFUejau2XTCOLvAfg6XJ7CR65mxr/NGPvEdJc6HRTEEzIfzDO+3W43F81TeO0RMGsmk8n1OESqD7/UbDYRj8cxHA7h8/lwenpKwTyZGe12G48fP8be3h4UReG+NMlouFar1ehk1EL9fh/hcBij0QjBYJCLHg6TyQSJRALFYhGiKMJms1m9pIVF3ekJITOt3+8jFouh3W5DlmUuur+aR9L5fD44HA4KmCwwGo2uezV4PB5KKQdQr9cRj8cxmUzg9/u5+H0k88Foetdut/Hw4UNsbW1ZvSTLGSej+/v7kCSJ+81IqxQKBcRiMa4mCbTbbVxcXGBtbQ2BQID7rLbbQEE8IWQu1Go1qKqKtbU1KIrCRZ2ZuUcAjaSzTrfbRSwWQ7fbhSiK1LcAl4204vE4lpaWIIoiXZtkZhQKBaiqylVzsZuMx2PEYjFUKhVuxqDNIqNuvNlsctOzQNf166w2j8cDl8tFBxJTREE8IWRu6LqObDaLVCqFs7MzbtKczSPpJEniokfALKrX64hGo1heXoYkSVw0XrwJYwylUgmJRALr6+vw+/3cf0/IbOj1enj06BG2trYQCASoYzbeG4O2s7ND9coWMrIj9vb2IMsyFz+HXq+HcDiM8XiM8/Nz6vkzJRTEE0LmjlHvV61W4ff7uWi2RSPpZgNjDMViEbFYDHt7e/D7/VxkhdyEMYZCoYBEIoHt7W34/X66SSOWm0wm1x2zHzx4gJ2dHauXZLnJZIJYLIZyuYxgMEi18hYZj8fXJXOSJHHTkNHIkrHb7fB6vXQP84YoiCeEzK12u41IJALGGGRZ5uIUkEbSzQaj+V0mk7mej8vDicpNdF1HLpdDKpWiDQ4yM4yZ8l6vFy6Xy+rlzIR6vY6LiwscHh5CkiTKVLBIq9VCKBTC+vo6FEXhom58NBohEomg0+kgEAhQKdYboCCeEDL3isUiVFXFwcEBRFHE+vq61Uu6dcZIupWVFciyTKdMFhmNRkgkEiiXy9T87sp4PEY2m0Umk8Hx8TG8Xi+VgBBL9ft9PH78GOvr6wgGg9xvuAHvnyt///59LjbBZ5Gu69dZdjzVjVcqFUQiERweHtIoxNdEQTwhZCGMx2OkUink83lu5rIaaczxeByHh4fw+/1cbGDMol6vdz1FwWh+x8ON2E00TUM6nUYul7vuYbG2tmb1sgindF2/TiV/8OABBa1XKpUKwuEwzs7O4Pf7F/59c1YZdeOTyQTBYJCLkqTxeIx4PI5yuQxZlimz8BVREE8IWSi9Xg+qqqLX60GSJC468Zo3MFwuF1wuF9WaWaTRaEBVVQCAJEnY39+3dkEzYDQaIZVKoVAowOFwwO1206kLsYwRtLpcLrjdbu4324DLDbdwOIxut4vz83Mu5pnPImNj/v/f3p1HR7Zvd2H//jTPs0o1j2qVhu57b9+h/Ty9ZeyAwXjZMeD4ZZnBDqy3HAI2BGNIWDHghBBMFgviLEicB8EEnkOwDXaY/Ay2Yz/wHfpO3a2xq07No0o1SarpVJ1f/miVnm6/HtTdks4pne9nrV49qFra0lGVzv799t4/RVFgs9ng9XpNsahSqVSwt7eHkZERrKyscDPinJjEE9G1dHBwgFAohNHRUSwvL5uiN7der0NRFPbL66w7tV1RFExOTsLv95vi++95Go0GYrEYCoUCHA4HnE4ne3FJF41GA9vb2+jr68Pa2horRE50W9O6g8fMkEAaUbPZRCgUwtHREYLBoCkWgzVNQzweRyqVgtfrhd1u5wLbczCJJ6Jr6+yRdFarFR6PxxRJQ7lc/sxRaNxV0cfZM3IXFxfh9XqZLOBRtUw0GkW5XIbL5YLdbmflCF05KSUikQiy2SzW1tY4YOtEs9nE7u4uWq0W1tbWMD4+rndIptWtGpmfnzdN3/jx8TH29vYAACsrK/z+ewYm8UR07bVaLSiKgmKxCL/fj6WlpWu/wnu2X95MA/+MSFXV0+OE2O7wNcfHx4hEIqhWq/B6vbBardz5oytXLBaxs7NzWr583X82nFc6nUYkEjHVsDUjUlUVkUgEhUIBN27cwOLiot4hXTopJdLpNKLRKOx2O6tCnoJJPBGZRqVSQSgUghACy8vLptihPtsv73A44HK5mEDqpFarnSatPp/PFItJ51GtVhGJRNBoNODxePh1oSvXarWwtbUFAFhbW+OC54l6vY7d3V1IKREMBtkWpKNKpYLd3V2MjY1hZWXFFFVdzWYTDx8+RK1WQzAY5DDKxzCJJyJTkVIil8tBURTMz8/D5/OZ4ofh2X75bjUC6aNSqSAcDkPTNAQCAZbxniiXy4hEImi32/D5fKYYSknGIaU87ckNBoOYn5/XOyRDkFIimUwiHo/D5/PBbrfrHZJpaZqGaDSKbDYLv98Pq9Wqd0hXYn9/Hw8fPsTCwgL8fr8p2iLPg0k8EZlSu91GLBZDNps11fnelUoFDx8+RF9fHwKBAFe2ddQdfjc+Pg6/38/evxMHBwdQFAV9fX3w+XyYm5vTOyQykXK5jK2tLR659pjj42Nsb29jcHAQq6urrFbQ0eHhIXZ2dkw1zV1VVSiKgoODA6ysrHCRF0ziicjkzHgk3dlqhJmZGfj9foyMjOgdlimdHb64sLBgmsqQ55FSYn9/H9FoFIODg/B4PEzm6cqoqoqdnR2oqoq1tTWMjo7qHZIhnJ0gHggETLMTbESapiEWiyGdTsPv98Nms+kd0pUolUrY29vDxMQEbty4Yeqfl0ziiYjwaPcvHA5jeHgYN27cMEXvX7dfPp1Ow+FwwO12s19eJ6qqnlaGdM+v5rX42nF9sVgMg4OD8Hq9bD+gK5NIJBCPx7GysmKKgWLn1d0J7vZnm2FqulEdHR1hZ2cHg4ODCAaDpliQ73Q6iMViyGQyplrAeByTeCKiE2d3RZeWluDxeExxc9JoNKAoCsrlsmmm9xtVd/hdpVLhtTijWz0Si8UwPDwMr9drirOTSX/VahVbW1un/bi9XF7f0SQ+TNcRLrYQmBvCW/ZR9Pe93OuLpmmIRCLI5XIsb9aZpmlIJBJIJpOmmltwdHSE3d1d9Pf3Y2VlxRSbL2cxiScieszZ3iuv1wubzWaKRKo7vR8AlpeX2S+vo0qlAkVR0G63EQgEWEp+gsk86UFVVWxvb6PT6WB9fb0ne5A7msRP/noOu4UWmm2J4QGB4MIQfurbl146kQcevVbt7OxgamoKy8vLplj4Nqrj42Ps7Oygv78fwWDQFG0gZwcvulwuOJ3Onl5oexFM4omInuLo6AihUAiqqmJ5edkUZbzslzeW/f19KIqCkZERBAIBTExM6B2SITyezPt8Pi460aWSUp72IK+vr/fc4tH7yRp++qsFNNpfu7cfGRD4iW9ZwB3nq+1gttvt04XvYDDIRUcdnU1qPR4PHA6HKTYh6vU69vb20Gq1EAwGTXGEsCGTeCHE9wP4KwDWANyRUt59xmP7AdwFkJJSfvfz3jeTeCJ6Ufv7+wiFQpiamoLf7zfF6nan0zkdYNQ9X57HuuhD0zSk02nEYjEsLCzA6/X25E7gZdA0Dfl8HtFoFCMjI0zm6dIVi0Xs7OzA5XLB5XLpHc65/fy9Mr58r4Kzd/YCwA++Po0v3Jq5kI/R/dosLCwgEAhwroeOarUadnd3AQDBYNA0pebZbBaKosBiscDn813r78FnJfF61iI8APAHAPzWOR77YwC2LzccIjKzxcVF3LlzBxMTE/jwww9Py5yvs/7+fvh8Prz99tuo1+t4//33kc1mcR0rtIyur68PTqcTd+7cwcDAAD744IPT89TNrq+vD1arFXfu3MHS0hK2t7fx6aefolKp6B0aXVNzc3N48803kc/n8eDBA6iqqndI5xKYG8LwwGd3ZIcHBPyzFzfde25uDu+88w46nQ7u3r3L56GOxsbG8MYbb2BhYQEff/wxEomEKX5+W61WvPPOO1BVFR988AGKxaLeIelC93J6IcRvAvjxp+3ECyGcAH4OwF8D8F9zJ56ILluz2UQ4HDbdELhKpYJwOAwpJfvldVav1xGJRFAul+Hz+WC1Wk3xPXgemqYhl8shGo1ibGwMXq+X36t0KTRNQygUQqlUwsbGhuFbXS6rJ/5p9vf38fDhQ1itVni9XtP0KRtRrVbD3t4eNE3D6uqqaXblDw4OsLe3h9nZWQQCgWs3r8GQ5fSnATw/if8FAH8dwOTJ456YxAshvgjgiwBgs9ne+spXvnI5ARORaXSHwAkhsLy8bIr+KwCn/fJmai0wqmq1CkVRoKoq/H4/5ufn9Q7JMDRNQzabRSwWw/j4OLxer2meo3S1stkswuFwT5yb3p1Or5Ra8M++2nT682i1Wtjb20O9Xsfq6iomJycv7WPRs0kpkU6nEY1GT1tBzLD42263EYlEsL+/jxs3blyroyJ1S+KFEP8OwJNe7f6SlPKXTx7zm3hKEi+E+G4A3yWl/JNCiG/DM5L4s7gTT0QX5ewQuLm5Ofh8PlP0Knc6HSQSCaRSKdhsNrjdbvbL66hQKEBRFAwNDWF5ednwO4JXSdM0ZDIZxGIxTE5OwuPxMJmnC3d0dITNzU3MzMzgxo0b3HV+THehw+l0wu12myJ5NKruALh2u43V1VWMj4/rHdKVqFQq2N3dxfj4OJaXl6/FvVrP7sQLIf46gD8CoA1gBMAUgF+SUv7hZ71PJvFEdNHa7Tbi8TgymYypjjhpNptQFAWlUslUrQVGdDZZNdOC0nk9nsx7vV7uCtKFarfb2N3dRaPRwMbGBk/1eEyz2cTOzg7a7TbW1tZMU9JtVJlMBoqiwOFwwO12m+KeRdM0RKNRZDKZnqiceZ6eTeIfe9y3gTvxRKSzWq0GRVFwdHSE5eVlLCws6B3SlahWqwiHw+h0OlheXu65o5euE1VVkUgkkE6nYbfbWSXxmO6k/3g8jqmpKXg8HibzdKHi8TiSySTW1tZMcSzpi0qlUohGo3C73XA6nVz41VGj0cDe3h6azSbW1tZMU8V1dHSEnZ0dDA4OYmVlpWfbAg2ZxAshvg/AzwBYBFAG8ImU8juFEHYAX5JSftdjj/82MIknIoMoFosIh8MYHBzEjRs3TFOuls/nEQ6H2S9vAI1GA5FIBKVSCR6PB3a7nTfLZzyezHu9XtPcwNLlK5VK2N7e7rlj6K5K9/gzIQSCwSB/Vuis2+5gt9vh8XhMsSsvpUQikUAikYDH44HD4ei5n5GGTOIvE5N4IroKZ4fILC4uwufzXbvJqE/S6XSQTCaRTCbZL28Ah4eHCIfDaLVa8Pv9pqkOOa9Op4N0Oo1EIoHp6Wl4PB4m83QhGo0GHjx4gNHRUQSDQb4OPkZKiWQyiXg8Dr/fD5vNpndIptZsNvHw4UPU63UEg0HTzA7pLihJKXtucj+TeCKiS6SqKqLRKPL5fM+u9r6MZrOJSCSCYrHIY9AM4Ozwu0AgwBLyxzCZp8ugaRr29vZweHiIjY2NnkoQrsrx8TG2t7cxNDSEYDDIWR46y+VyCIfDpjoa8Oymi9PphMvl6onPm0k8EdEVOD4+xsOHD6GqKgKBAObm5vQO6UocHh4iFAqh3W7jxo0b7JfXkZQSmUwG0WgUMzMz8Pv9HL71mMeTea/Xa5p2GLo86XQakUgEwWCQ1TBPoGkaYrHY6cCxpaUlvUMytVarhYcPH+L4+BjBYBDT09N6h3Qlzs4I6IUjEZnEExFdoUKhgFAohImJCfj9ftPszOzv7yMcDpvu8zaidrt9ekSg1WqFx+MxRavHi+h0OkilUkgmkxyARxeiUqlgc3MTNpsNXq+XlUlPUK1WsbOzg/HxcaysrPB1SWf7+/t4+PAhLBYLfD4f+vv79Q7pSmSzWSiKcvrz0aifN5N4IqIrpmkakskkEomEqfrGz37eVqsVbrebN2k6arVaiEaj2N/fh9PphNPpNOzNil46nQ4ymQzi8TgmJibg8XhMsytFF6/VamFrawt9fX1YW1vj698TdDodRCIR5PN5rKyssHJBZ6qq4uHDhzg8PEQwGDRNNV23GuHo6MiwnzeTeCIinZztGzfTOeutVguRSAQHBwfwer2w2Wym+LyNqlarIRKJoFKpwOv1wmq19kQ/4FXSNA3ZbBbxeBwjIyPweDw8PoxeiqZpUBQFBwcHuHXrFquSnqJcLmNnZwezs7MIBAKmWOg2skKhgL29vdNBvWa5Ht3Pe35+3nDfh0ziiYh0Vq1WEQqFIKXE8vKyaXb6upPTVVXF8vIykyKdVatVKIqCZrMJv9+PxcVFvUMyHE3TkM/nEYvFMDg4CI/Hg/n5eb3Doh6UyWQQiUSwurpqmhkpL6rdbiMcDqNYLGJ9fd00PxuNSlVVhEIhVCoVBINB0/zMVlUViqKgWCzixo0bhqkOYRJPRGQQ3amwMzMzCAQCppnSy355YykWi1AUBUIIBAIBQ5YR6k1Kif39fcRiMQgh4PF4sLCwwIoSeiHlchlbW1twu91wOp16h2NY3d1QM01MNzIj705fplKphN3dXUxNTeHGjRu6t8MwiSciMpB2u414PI5MJmOqPuWz/fJLS0sctqYzKSXy+TwikQjGxsbg9/t55NoTSClxcHCAWCwGTdPgdrthsViYzNO51et1PHjw4DQxYIL6ZK1WCzs7O1BVFWtra1zs1dnZ3elgMGiaapKzMxv0PkmBSTwRkQHV63UoioJqtYrl5WXTlDaf7Zf3eDyw2+1MiHSkaRrS6TTi8ThmZmbg8/kwOjqqd1iGVCwWEYvF0Gq14PF4YLFYmJDRubTbbWxtbUHTNGxsbHAB8xmSySRisRj8fj9sNpve4ZhesVjE7u4u5ubm4Pf7TfO9W6lUsLe3h9HRUdy4cUOXykkm8UREBlYul/Hw4UMMDg5ieXnZNLuhR0dHCIVCUFUVgUDANKv8RsVj6c6vXC4jGo2iXq/D7XbDZrMxmafnklJCURQUCgUOvHuO4+NjbG1tYXR0FMFgkK9FOmu326ffu2Y6UUDTNMRiMaTTaV0WlZjEExEZnJQSmUwG0WgU8/PzplrtLhQKCIfDGBsbQyAQ4I2tzlqtFmKxGHK53Gm7h1n6IV9UpVJBPB7H4eEhXC4X7Ha7KVpj6NVks1mEw2Gsra1x8fIZulP+8/k8hwMaRLdnfHp6GsvLy6a5Tzk6OsLu7i76+/uxsrJyZfcpTOKJiHqEqqqnCZTb7YbD4TDFDp+maUilUojH4+yXN4harYZoNIpyuQyPx8Pd5mc4PDxEPB5HpVKB0+mE3W7nwgc9U6VSwebmJgfenUOxWMTOzg4sFgv8fj9fh3R2tmfcTLvyUkokk0nE4/HT5+1ltwIyiSci6jG1Wg0PHz5Es9lEIBAwzRFX7Jc3nsPDQyiKgkajAZ/Ph8XFRV6Tpzg+PkYsFkOpVILdbofT6eRiFD0VB96dn6qq2N3dRb1ex/r6OsbHx/UOyfQqlQp2dnYwMTGBlZUV07zW1Wo17O3todPpYHV19VK/F5nEExH1qG6p+ejoKJaXl01Tan50dIRwOIxWq8V+eYM4eyyd3+83zfnBL6NWqyGRSGB/f/80mR8aGtI7LDKgdruN7e1tdDodDrw7h0wmA0VR4PF4WMFgAJ1OB9FoFLlcDsvLy7BYLHqHdGW634t2ux0ej+dSFuGYxBMR9bCzpeZWqxVut9s0N3pmXcQwqu7Z6ZFIBCMjI/D7/ZicnNQ7LN10NIkP03WEiy0E5obwln0U/X1fq1JoNBqIx+PI5/OwWq1wuVy6TDgmY+PAuxdTq9Wwvb2NwcFBrK6ucoHMACqVCnZ3dzE2NoaVlRXTXJNms4m9vT00Gg2srKxgenr6Qt8/k3giomvgbKm5z+eD1Wo1RVnz2UUMi8UCr9drmkUMo9I0DZlMBrFYzLTH0nU0iZ/89Rx2Cy002xLDAwLBhSH81LcvfSaRBx7d6CUSCWSzWSwuLsLtdpvu60XP1x14t7q6apoWqpelaRqi0Siy2ayp+rKN7Ow18fv9sFqteod0ZfL5PEKhECwWC3w+34UNOGUST0R0jRweHiIUCqHdbuPGjRuYmZnRO6QroaoqIpEI9vf3T/vl2UOqr3a7jWQyiVQqBYvFAo/HY5odmPeTNfz0VwtotL92HzUyIPAT37KAO84n76SqqopEIoF0Oo35+Xm43W729tJndAfeuVwuuFwuvcMxvEqlgq2tLczNzWF5eZmnQxjA4eEhdnZ2MDIygpWVFdNUH6mqilAohEqlgmAweCEtZ0ziiYiuoXw+j3A4jKmpKfj9ftPs7B0fHyMUCplu6J+RdU9VyGazpjmW7ufvlfHlexWcvYsSAH7w9Wl84dbMM/+vqqpIp9NIpVKYnJyE2+2+8DJM6l0cePdiVFXFw4cPcXR0hLW1NVO3+BjF2fPVA4GAqXblC4UCHj58iLm5uVc+LphJPBHRNdXpdJBIJJBMJmG32+F2u6998tR1cHCAcDiM4eFhLC8vc0fTAOr1OiKRCMrlMtxu97WulniZnfjHdTod5HI5JBIJDA0NweVyYX5+3hRtMvRsHHj34nK5HEKh0GkVA59H+js6OsLOzg4GBwcRDAYxMjKid0hXot1un865eJV2DybxRETXXLPZhKIoKJVKpuuXT6fTiMViWFxchM/n482uARwdHUFRFNRqNfh8Plgslmv3/fgiPfHP0x0YGI/HoWka3G43LBbLtV0AofORUiIUCqFcLuO1114zTVnyq6jX69jZ2YEQAqurq6ZJGo1M07TTzQafzwe73a53SFemXC5jd3cXExMTuHHjxgu3mzGJJyIyiWq1inA4bMp++Wg0inw+D7fbDYfDwQTIAEqlEhRFgZQSfr//2h0V2J1Or5Ra8M9+/XT6l1EqlRCPx3F8fAyXywWbzWaa6hp6slgshkwmg9dee42T689BSol4PI5kMokbN26Y6tgzIzs+PsbOzg76+/sRDAZN0wLY6XRO281edOAfk3giIpMxa798rVZDKBRCvV5HIBDgxGKD2N/fh6IoPJbuBRweHiKRSKBUKsFms/GseZPLZrNQFAUbGxucn3BO1WoV29vbmJ6exvLyMhfDDEBKiWQyiXg8Do/HA4fDce2qtJ6mO/BveHgYKysr56oSYRJPRGRCnU4HyWQSiUTC1P3ygUAAExMTeodkepqmIZvNIhqNYnp6Gj6fj7uK51Cv15FIJJDP57G4uAiXy8Wvm0kVCgXs7u7yCLoX0G63EQ6HUSqVsLa2xgUQg6jVatjd3QUABINB07ymnW0t8Hq9sNvtz1zEYBJPRGRizWYTkUgExWLRdP3y3bPM5+fnX3lKLF2M7uJSMpnE4uIivF4vd5jPQVVVJJNJpNNpzMzMwOVyYWpqSu+w6Ip1j6Az2zncr6pQKGBvbw82mw1er9cUPwON7uyuvNvthtPpNM11qdVqp7MbnrWIwSSeiIg+c7788vLyhZxh2gu6x5/lcjn2yxvI2WPpHA4HXC6XaSpFXkW73UYmk0EymcTo6Cjcbve1mzVAz1ar1fDpp5/C6XTyLPkX0Gw2sbOzg06ng7W1NdO0mRldrVbD3t4eNE3D6uqqaXblpZRIpVKIxWJPPVGBSTwREZ3a399HOBzGxMQE/H6/aX5g1mo1hMNh1Go19ssbSL1eRzQaRalUuvbH0l0kTdOQz+eRSCQA4HSivVl2ssyu2Wzi3r17mJ2dRSAQ4HU/p7O7v2Y7v9zIpJRIp9OIRqOmOyKwXq9jb28P7XYbq6urnzkul0k8ERF9hqZpp/3yVqsVbrfbNKXmxWIR4XAYg4ODWF5eZr+8QZjhWLrLUigUkEgk0Gw24XK5YLVa0d/fr3dYdMlUVcWDBw8wPDyM1dVVLn69gKOjI2xvb2NsbAwrKyum+flndPV6Hbu7u+h0Ol+X0F53mUwGiqLA4XDA7Xajr6+PSTwRET1Zq9VCJBLBwcEBvF4vbDabKRInKSUymQyi0Sjm5+fh8/nYl20Q5XIZiqKg0+kgEAiwVPwFVCoVJBIJVKtV2O12OBwOJifXXKfTwfb2NjqdDjY2NtiS8gI6nQ4URcH+/j7W1tZM02LWC9LpNCKRyGnLiFkWqBqNBvb29tBsNrG2toZv/MZvZBJPRERPd3R0hFAoBFVVTZU4qaqKeDyObDYLp9MJp9PJHUyD6B5LNzw8DL/fzyFuL6BWqyGRSGB/fx9WqxVOp/NcxxlRb5JSYm9vD0dHR7h16xYXJF/QwcEBdnd3sbS0BJ/PZ5qE0egeT2jNVDWXzWYRDofxIz/yI0ziiYjo+QqFAkKhEMbHxxEIBEzVLx+JRFCtVuHz+bC0tGSKigSjk1Iim80iEonwWLqX0Gw2kUwmkclkMD8/D5fLZaobYbOJRCLI5/N47bXXOLTtBamqip2dHTSbTayvr/N1xkC6Ca3dbofH4zHNIkuz2cTbb7/NJJ6IiM5H0zSkUinE43EsLS3B4/GYpiS3UqkgHA5D0zQEAgGWVxrE2WPpFhYW4PV6MTw8rHdYPUNV1dOJ9uPj43A6nZibm+NC1TXUnXb92muvccHmJXTLuL1eLxwOh97h0Ilms4m9vT00Gg0Eg0HTVGaxJ56IiF7Y2X55j8cDu91umpv+fD4PRVEwPj4Ov99vquE6RtZtf8hkMrDb7XC5XKZZYLoIZyfaSynhdDqxtLTEFpJrZn9/H3t7e9jY2MDMzIze4fScWq2Gra0tDA8PIxgMsj3BQHK5HMLhMKxWK7xe77XflWcST0REL82s/fJnKxIWFhY4/M5AGo0GYrEYCoUCnE4nHA4HB3q9oFKphGQy+ZkheJf5/d3RJD5M1xEuthCYG8Jb9lH095ljUVAPpVIJW1tbuHnzJqanp/UOp+domoZoNIpsNotgMIj5+Xm9Q6ITrVYLDx8+xPHxMYLB4LX+/mYST0REr6xQKCAcDmN0dBTLy8um6Rk8u/vbnZTLnUtj6M4yqFQqcLlccDgc135n5qLVajUkk0nk83ksLCzA6XReeBl2R5P4yV/PYbfQQrMtMTwgEFwYwk99+xIT+UtULBaxvb3NRP4VlMtlbG9vY2FhAX6/n6/9BpLP5xEKhWCxWODz+a7ltWEST0REF+Ls7rTFYoHX6zVNOXO9XoeiKKhUKvD7/Rx+ZyBHR0eIRCI4OjqC1+vF0tISk/kXpKoq0uk0UqnUhffNv5+s4ae/WkCj/bV7zpEBgZ/4lgXccZpjMVAvTORfnaqq2NvbQ61WM92UdKPrXpvj42Osrq5eu155JvFERHShVFVFJBLB/v7+ab+8WZKmSqUCRVHQbrdN1V7QCyqVCiKRCJrNJrxeLywWy5UutFyHkvHL6Jv/+XtlfPleBWfvOAWAH3x9Gl+4NfOqIdNzdI9Qu3nz5rVLcq5Sd0q6z+eD3W7XOxw6o7srf9165ZnEExHRpTg+PkYoFEKz2UQgEDBV32C3vWBkZASBQIC7MwZSKpUQiUTQ6XTg8/mwsLBw6R/zOpaMn+2bt9lscDgcL3UqAHfi9VcoFLC3t8dE/hXVajVsbm5ibGwMKysrpqlE6wWtVgu7u7toNBrXpmKCSTwREV2qs/3ygUDANNPcNU1DOp1GPB7H/Pw8jz4zmEKhgEgkgr6+Pvh8vkutmrjOiWqtVkMqlUIul8Pc3BwcDscLlWZfxwWOXtRN5G/duoXJyUm9w+lZmqYhFAqhWCxifX2diyIG062YcDqdcLvdPd32xiSeiIgunZn75VVVRSKRQDqdhsPhgMvl4rR0g5BSIp/PIxqNYnh4GD6f71J6g81QMq6qKrLZLFKpFIaGhuB0OrGwsHCu0tVuq4FSasE/25utBtcBE/mL0z3Kz+12w+Vy6R0OndFoNLCzswNN07C6utqzg3iZxBMR0ZVRVRXRaBT5fB5ut9tUE8MbjQYURUG5XIbP54PVau3pXYDrREqJbDaLaDSKiYkJ+Hy+Cy23vM478Y+TUuLg4ADJZBK1Wg1OpxM2m800i3a9bn9/Hw8fPsRrr712LUqO9VSv17G1tYWhoSGsrq7yOWAgUkqk02lEo1G43W44nc6e+3nMJJ6IiK5ct1++0WggEAhcSV+yUVSrVSiKAlVV4ff7TTUrwOjOtkBMT0/D5/NdyC6NWUvGDw8PkUqlUCgUsLi4CKfTaZp2ml7WHQTGRP7VaZqGSCSCfD6P9fV1ngJgMLVaDbu7uxBCIBgMYnR0VO+Qzo1JPBER6ebg4ADhcBjDw8NYXl421Q1+oVCAoigYGhrC8vIyb5YNpNPpIJlMIplMns4zGBkZebX3aeKS8VarhXQ6jXQ6jfHxcTgcDszPz/fczpeZdBP5119/3VSvy5el26rgcDh6vhf7upFSIplMIh6Pw+/3w2az6R3SuTCJJyIiXXV3P2OxGBYXF+Hz+UxTdqhpGjKZDGKxGObm5uDz+Tj8zkDOzjNYWlqCx+PB0NCQ3mH1rO4RdclkEu12G3a7naX2BpbL5RAOh5nIX5Bms4mtrS309fVhbW2NryUGc3x8jO3tbQwNDSEYDBr+ZzGTeCIiMgQz98u3223E43Gk02nY7Xa43W4OvzOQVquFeDyObDYLu90Ol8vFxPMVVatVpNNpFAqFl5pqT1cjm81CURS89dZbhk9qeoGUEpFIBNlsFqurq5d6Kga9OE3TTn8WBwIBLC0t6R3SUzGJJyIiQ6nVagiFQqjX66brl280GohGoygWi/B4PLDb7Sy7NJBms4loNIpCoQCHwwGn08nFllfUnWqfTqfR19cHh8MBi8XCr6uBxONx5HI53L59m9flgpRKJWxvb8NqtcLn8/F13mAODw+xs7ODsbExrKysGHLRlkk8EREZUrFYRDgcxuDgoOl6xg8PDxEOh9FqteD3+021kNELarUaotEoyuUyXC4X7HY7+vv79Q6rp0kpUSqVkE6nUS6XsbS0BLvdzjJug9jd3YWqqtjY2GDCeUFarRa2t7ehaRrW19dZ6WAw3aGEuVwOKysrhvs5zCSeiIgMq3sMTCwWw/z8PHw+n6n6CA8ODqAoCgYHB+H3+zE1NaV3SHTG8fExIpEIqtUqvF4vrFaraVpALlOj0UA6nUY2m8XY2Bjsdvu5z5yny6FpGu7du4eJiQksLy/rHc61IaVEPB5HKpUyZKJIQKVSwc7ODqamprC8vGyYXXkm8UREZHiqqiIWiyGXy5muX757hnkkEsHMzAz8fv8rT0qni1WtVhGJRFCv1+H1erG0tMTdygugaRoKhQLS6TRqtRpsNhvsdjt3LHWiqio++uij0+oTujiVSgVbW1tYXFyE3+83zc+3XtHpdBAOh3FwcIBgMGiIWQZM4omIqGfUajWEw2EcHx8jEAhgcXFR75CuTLvdRiKRQCqV4nA1gyqXy4hEImi32/B6vab6/rxsx8fHSKfTyOVymJmZgd1ux+zsLBdLrlitVsMnn3zCoWyXQFVV7OzsoNVqYX19vafOLDeLYrGI3d1dzM/Pw+/36zojgkk8ERH1nLP98oFAAJOTk3qHdGW6w9UODg7gdrtht9u5a2MwBwcHiEQiAACfz4f5+XmdI7o+2u028vk8UqkUNE2D3W6H1WrlgtYVKpfL2NzcxO3btzE2NqZ3ONdOIpFAPB7HjRs3YLFY9A6HHqOqKsLhMMrlMtbW1nQ7VYNJPBER9aSzZeazs7Pw+/2mKrM9OjpCOBxGo9Ew3RT/XiClxP7+PqLR6OlMAx6hdrEqlQpSqRSKxSIWFhZgt9s5N+KKZLNZRKNRvPXWW1xAuQTVahVbW1uYm5vD8vIyF2oNqFAoYG9vD0tLS/D5fFd+jZjEExFRTzt7xrrD4YDL5TLVMUjdqoSBgQEmigYkpUQul0M0GsXo6Cj8fr+pKkeugqqqyGQySKfTGBwchMPhwOLiIk8MuGTd1qbXXntN71CuJVVVsbe3h1qtho2NDVY9GFD3Gh0fH2N1dfVKFxGZxBMR0bXQaDSgKArK5TJ8Ph+sVqtp+mXPViVMT0/D7/ezn9JgNE1DJpNBLBbD9PQ0vF4vj0+7YFJKHBwcIJ1Oo1qtYnFxEVarlQtbl0TTNHz88cewWCxwuVx6h3NtpdNpRCIRBAIBWK1WvcOhJ8jlcgiHw7DZbPB4PFeyK2/IJF4I8f0A/gqANQB3pJR3n/K4GQBfAnATgATwX0gpf+dZ75tJPBHR9VatVhEOh9Fut7G8vIzZ2Vm9Q7oynU4HiUQCyWQSNpsNbrebpa4G0+l0kE6nEY/HMTc3B6/XywWXS9BsNpHNZpHNZtHX1wer1YqlpSVTHVF5Fer1Oj766CPcunWLrQyX6OjoCFtbW6fHnJmp2qxXNJtN7O3todlsYm1t7dIXaY2axK8B0AD87wB+/BlJ/M8B+G0p5ZeEEEMAxqSU5We9bybxRETmsL+/j3A4jPHxcQQCAVOVIrZaLUQiERQKBdMdydcrVFVFMplEKpXC4uIivF6vqWY6XKVKpYJMJoNCoYDp6WnYbDbMzc3xOXFB8vk8FEXB22+/zeTyEnU6HTx8+BDVahXr6+uYmJjQOyR6gkwmA0VR4HK54HK5Lq0i0JBJ/GkAQvwmnpLECyGmAXwCwC9fIFAm8URE5qFpGlKpFOLxOCwWC7xer6l2po+Pj6EoCo6Pj+H3+znp2IBUVUU8Hkcmk2H1xCVrt9soFArIZDKo1+uwWCyw2Wxsa7gAu7u70DQNa2treody7WWzWYTDYfh8Ptjtdr3DoSeo1+unz4nV1dVL2UTo5ST+DQA/C2ALwOsAPgTwY1LK42e9TybxRETmo6oqotEo8vm8KXemS6USQqEQ+vv7EQgE2CNsQM1mE7FYDPl8Hg6HA06nk8n8JarVaqfl9sPDw7BarbBYLPyav6R2u40PPvgAq6urpmph0kutVsPm5ibGxsawsrLC71sDklIilUohFovB4/HA4XBc6K68bkm8EOLfAXjSdIa/JKX85ZPH/CaensS/DeBdAN8spXxPCPF3AFSllP/dEx77RQBfBACbzfbWV77ylYv7RIiIqGfUarXTicqBQACLi4t6h3RlulPSI5EIpqam4PP5TNVi0Cvq9TpisRgODg7gcrngcDg4Zf0SSSlRKpWQyWRQKpUwNzcHq9WK2dlZ0wzGvCiFQgHhcBjvvPOOqRZJ9aJpGkKhEIrFItbX1zmTwKBqtRp2dnbQ19eH1dVVjIyMXMj77eWdeCuAd6WU3pO/fyuAvyil/P3Pep/ciSciou7O9MDAAAKBgKlufjqdDpLJJJLJJJaWluDxeLiLY0C1Wg2RSASVSgVutxt2u52J0SVTVRX5fB6ZTAaqqmJpaQlWq5WLXS/gwYMHmJiYgNfr1TsU09jf38fe3h7cbjdPCTAoKSUSiQQSiQT8fj9sNtsrv8+eTeJP3v7bAP6ElHJXCPFXAIxLKf/8s94nk3giIgI+eyzbzMwM/H7/ha2Q94JWq4VoNIr9/X1Tthj0isPDQ0QiERwfH8Pr9WJpaYnX6QocHR0hm80il8thfHwcVquVZ8+fQ6PRwIcffog333yTpy5coXq9jq2tLQwNDWF1dZULswZ1dHSE7e1tjIyMYGVl5ZWGmRoyiRdCfB+AnwGwCKAM4BMp5XcKIewAviSl/K6Tx72BR0fMDQFQAPywlLL0rPfNJJ6IiM5qt9tIJBJIpVKw2+1wu92mmrBcq9WgKAoODw9Ph9+xjNh4KpUKIpEIGo3GaTLP63T5NE3DwcEBstksKpUKFhYWYLFYWG7/DIqioN1uY2VlRe9QTEXTNEQiEeTzeayvr3P2iUFpmoZYLIZMJoPl5eWXHjhryCT+MjGJJyKiJ2k2m1AUBaVSCT6fD1ar1VQ36eVyGeFwGAAQCAQwMzOjb0D0ROVyGdFoFM1mEx6Ph8n8FWo2m8jn88jn82g0GlhYWMDS0hKmp6d5Dc5otVp4//33cefOHQwNDekdjukUCgXs7e3B4XDA7Xbze9OgqtUqdnZ2MD4+/lLDCZnEExERnVGtVqEoClRVRSAQwNzcnN4hXRkp5emZz5OTk/D7/ewHNigm8/qq1+vY399HLpeDqqpYXFyExWLB1NQUrwOAvb09DAwMwO/36x2KKTWbTWxtbaGvrw9ra2tcTDGoTqdzWj2xsrKChYWFc/9fJvFERERP0J20PDo6ikAgYKqzpDVNQyqVQjwex+LiInw+H3ssDapUKiEajaLVasHr9bIdQge1Wg35fB77+/tQVRUWi+U0oTerer2ODz/8EN/0Td/EGQ46kVIiEokgm81iY2OD5fUGVi6XsbOzg5mZGQQCgXP9vGUST0RE9BRmT2ZVVUU0GkU+n4fT6YTT6eRgL4MqFouIxWJQVRUej4fJvE6Oj49PS+6llLBYLFhcXMTk5KTeoV25u3fvYnl5ma05Ojs4OMDu7i5cLhen1xtYu91GOBxGsVjE6uoqZmdnn/l4JvFERETPoaoqYrEYcrmcKSe5d487q1ar8Pl8LN02sGKxiGg0ina7zWReZ0dHR6cJvRACi4uLWFpaMk1VTyQSgZSSJfUGUK/Xsbm5idHRUQSDQVMNb+01xWIROzs7WFhYQCAQeOrCOZN4IiKic+pOcj86Ojqd5G4mlUoF4XAYmqYhEAg8d6eA9HNwcIBoNApN0+DxeLC4uMhkXkfVahX7+/vI5/MYGBg47aG/zjMnKpUK9vb28M477+gdCuFRZdnDhw9RqVSwsbFhmsWkXqSqKkKhEKrVKlZXV5/YCsEknoiI6AWVSiWEQqHTwU1m6zXsDr8bHx+H3+/nzaCBnU3mvV4vFhYWmMzrSEr5mYR+cHAQc3NzmJubw/T09LWq8Gk2m6d98WQc2WwW4XAYy8vLWFpa0jsceobuSQNWqxVer/czrw9M4omIiF6ClBK5XA6KomBmZgZ+vx8jIyN6h3Vlzs4LWFhYgM/n4wRkAysUCohGo5BSMpk3iG5CXywWUSwWUa/XMTMzg/n5eczNzWF4eFjvEF+Jqqp499138a3f+q16h0KPOTo6wubmJmZnZ7G8vHytFo+uG1VVsbe3h1qthtXV1dP5GkziiYiIXkGn00E8HkcqlYLdbofb7TZVv2F3XkA2m4XT6YTL5eLwOwM7m8z7fL4XOtKILler1TpN6IvFIoaHh08T+qmpqZ5LtFRVxe/8zu/g85//vN6h0BOoqord3V20Wi2sr6+bahG6F+VyOYRCITgcDrjdbrz++utM4omIiF5Vs9lEJBJBsViE1+uFzWYz1U5nvV6HoiioVCrw+/0cfveCOprEh+k6wsUWAnNDeMs+iv6+y/v6FQoFRCIRCCFOd+bJOLq79AcHBygWi2g0GpidnT0tve+FXfp8Po9sNovXXntN71DoGeLxOJLJJFZXVzE3N6d3OPQMzWbzdOHlh3/4h5nEExERXZTDw0OEw2GoqopAIGC6m6JKpQJFUdBut035+b+Mjibxk7+ew26hhWZbYnhAILgwhJ/69qVLTeSllDg4OGAy3wO6u/QHBwcolUqnu/Tz8/OYmpoy5IJZt1zbbrfrHQo9R7lcxtbW1ukurxG/n+hr0uk0vvM7v5NJPBER0UUrFAoIh8MYHR1FIBAw3fC3/f19KIqC0dFR+P1+TExM6B2SYb2frOGnv1pAo/21+66RAYGf+JYF3HFe/vRyKeVpmX1fXx+8Xi/m5+cv/ePSyzm7S39wcIB6vY7JyUlMTU2d/q53aXQmk0EikcDt27cxODioayx0Ps1mE1tbW+jv78fa2hqvm8GxJ56IiOiSaJqGdDqNWCxmyuFvj3/+Xq+3J8qAr9rP3yvjy/cqOHvXJQD84OvT+MKtmSuLQ0qJ/f19xGIxJvM9RFVVHB4e4vDwENVqFYeHhwBwmtR3f11VUpbNZqEoCt54441rfYTedaRpGhRFQaFQwMbGxukQNTKeZyXx5pnKQ0REdAn6+vrgdDqxtLSEWCyGDz74AC6XC06ns+eGVL2Ms59/IpHABx98AIfDAZfLZarhf88TmBvC8ID4zE788ICAf/ZqF3yEELBYLFhcXDytpIjFYvB6vWyLMLCzx9R1NRqN04Q+Fovh8PAQIyMjn9mxn5iYuLDXIU3TUCqVkEgkoKoqXnvtNSbwPaivrw/Ly8uYnp7GvXv34Pf7YbPZ9A6LXhB34omIiC5QrVaDoig4PDw8Hf5mJvV6HZFIBOVyGT6fD1arlb2X0K8n/nmklMjn84jFYhgcHITH42Ey36OklDg+Pj5N7KvVKur1OgYGBjA8PIyRkREMDw9/3a/uSRN9fX2nz1VVVdFoNNBqtdBoNFAul1EulzE+Pg673c6hltdErVbD5uYmJicncePGDZ46YjAspyciIrpi5XIZoVAIfX19CAQCmJ6e1jukK1WtVqEoClRVhd/vZ8k2vjadXim14J+9/On0L+LxZN7r9WJ2dlbvsOgVSSnRbDaf+qvRaEDTNEgp0c0JpJQYHBzE0NAQRkZGMDQ0hOnpaczNzbGH+hpqt9vY29vD8fExbt68idHRUb1DohNM4omIiHQgpUQul4OiKJienobf7zfdDVKhUICiKBgaGkIgEGD/pcF1v2djsRiGhoaYzBOZRDKZRDweRzAY5KKrQbAnnoiISAdCCFitViwuLiKRSODDDz+E3W6Hy+UyzY7WwsIC5ubmkMlkcP/+fczMzMDn85luMaNXdL9nl5aWkMvlsLe3h+HhYXi9XszMzOgdHhFdEqfTicnJSWxubvIYuh7AnXgiIqIr0mw2EY1GcXBwAI/HA7vdbqqbpHa7jWQyiWQyiaWlJXg8HlNN8u9F3Z35aDSKkZER+Hw+07WGEJlJ9xi6wcFBBINB0yw4GxHL6YmIiAzk6OgIoVAIrVYLfr8fCwsLeod0pVqtFmKxGHK5HJxOJ5xOJyfZG5ymacjn80zmiUxA0zSEQiGUSiXcvHkT4+PjeodkSkziiYiIDOjg4ACKomBwcNCU/eJnJ9m73W7Y7XZTHMvXyzRNO+2ZHx0dhdfrZTJPdE1ls1mEw2HcuHEDFotF73BMhz3xREREBjQ/P/+ZfvHZ2Vn4fD6MjIzoHdqVGB0dxfr6Og4PD6EoCpLJJHw+HywWi6naDHpJX18fbDbbac/81tYWxsbGmMwTXUNWqxXj4+PY3Nw8PTaVr83GwJ14IiIiA2i320gkEkilUqYbftdVKpWgKAqklPD7/TyvvAdomoZsNotYLIbx8XF4vV5MTU3pHRYRXSBVVbG1tQUpJdbX1znL5IqwnJ6IiKhHnB1+Z9YS83w+j0gkgpGREfj9ftO1GfQiTdOQyWQQi8UwOTkJj8fDZJ7oGpFSIhKJIJfLYWNjg8/vK8AknoiIqMccHR0hHA6j0WggEAiYbvjd2aRwenoaPp8PY2NjeodFz/F4Mu/1erkIQ3SNFAoF7O7uwu/3w2az6R3OtcYknoiIqEcVi0WEw2EMDAwgEAiYbvej3W4jlUohkUjAYrHA6/WylLMHaJqGdDqNeDyOiYkJeDwe9swTXRO1Wg0PHjzA9PQ0bty4YbpqsavCJJ6IiKiHSSmRzWYRiUQwMzMDn8+H0dFRvcO6UqqqIhaLIZvNwuFwwOVy8Vi6HnC2Z350dBQejwezs7N6h0VEr6jdbmN3dxeNRgMbGxumGch6lZjEExERXQOdTud0+J3VaoXb7Tbd8Lt6vY5oNIpSqWTamQG9qHvOfCwWw9DQENxuN+bn5/UOi4heUSKRQCKRwNraGhfoLhiTeCIiomuk1WohEomgUCjA7XbD4XCYLpE9OjqCoiio1Wo8lq6HSCmRz+cRj8chhIDX68X8/DyvHVEPK5VK2N7ehsvlgsvl0juca4NJPBER0TV0fHyMcDiMer0Ov9+PxcVFvUO6cuVyGeFwGJqmwe/3c3e3R0gpcXBwgGg0Cikl3G43F2KIelij0cD9+/cxNTXFPvkLwiSeiIjoGiuVSgiFQujv70cgEDDlALH9/X0oioLh4WH4/X7TDQDsZQcHB4jFYlBVFR6PBxaLhQkAUQ9qt9vY2dmBqqq4efOm6dq9LhqTeCIiomtOSolcLgdFUUx7JJuUEplMBtFo1LRfg15WKpUQi8VQr9fh8XhgtVqZzBP1mO558vl8Hrdu3cL4+LjeIfUsJvFEREQm0el0kEwmkUwmsbS0BI/HY7rdkLNfg4WFBXi9XgwPD+sdFp1TpVJBLBbD0dERXC4X7HY7+vv79Q6LiF5ANptFOBxGMBjEwsKC3uH0JCbxREREJtNqtRCNRrG/v2/a4Xdnj6Wz2+1wuVymW9DoZYeHh4jFYqhWq3A6nbDb7TxWkKiHVCoVbG5ucuDdS2IST0REZFK1Wg2KouDo6Ag+nw9LS0t6h3TlGo0GotEoisUiXC6XKRc0etnx8TFisRhKpRIcDgccDgcXY4h6RHfg3eTkJFZWVvja+wKYxBMREZlcuVxGKBSCEALLy8umHH53dHSESCTymQUNTkPvHbVaDfF4HIVCAXa7HU6nE0NDQ3qHRUTPwYF3L4dJPBEREZ2e0a0oCiYnJ+H3+005+K1SqSAcDqPT6fBYuh5Ur9eRSCSQz+dhtVrhcrk484DI4Djw7sUxiSciIqJTmqYhmUwikUjAYrHA6/WacmekUChAURQMDQ3B5/OZsjqhlzWbTSQSCWSzWVgsFrhcLoyOjuodFhE9Qy6XQygU4sC7c2AST0RERF9HVVVEo1Hk8/nTXnGzTQGXUiKbzSISifBYuh7VarWQTCaRTqexsLAAt9vNa0hkYBx4dz5M4omIiOipusPvDg8P4ff7YbFYTNcr3ul0kEqlkEgkeCxdj1JVFalUCqlUCrOzs/B4PCzZJTIoDrx7PibxRERE9FyVSgWhUAhSSgQCAczOzuod0pVTVRXxeByZTIbH0vWodruNdDqNZDKJqakpeDweTE5O6h0WET2m0+lgZ2cHrVYLGxsbHFT5GCbxREREdG7d4Xfj4+MIBAKmLE1uNBqIxWIoFApwu908lq4HdTodpNNpJBIJTExMwOPxcO4BkcFIKRGNRpHL5XDz5k1MTEzoHZJhMIknIiKiF6JpGlKpFOLxOBYWFuDz+Uy5S3J8fIxIJILDw0MeS9ejNE1DNptFPB7HyMgIPB6PKatMiIyMA+++HpN4IiIieimqqiIWiyGXy8HpdMLpdJpu+B3wqNVAURS02234fD7eZPYgTdOQz+cRi8UwNDQEt9vN4wWJDKRareLBgwdwOp1wu916h6M7JvFERET0Smq1GiKRCCqVCvx+v2l3pAuFAiKRCAYGBuD3+1me3YOklNjf30csFoMQAl6vF/Pz86b8fiYymmazifv372N8fBzBYNDUbUxM4omIiOhCnN2RDgQCmJub0zukKyelRC6XQyQSweTkJPx+vynnBvQ6KSUODg4QjUYhpYTb7TblyQxERtMdeNdsNnHz5k1TtnIBTOKJiIjogu3v70NRFIyOjiIQCJjyKK/u4LTu3AAeS9e7Dg4OEI/H0Wq14PF4YLFYTL0DSKS37sC7bDaLW7dumXLgHZN4IiIiunCPD78zaxKrqioSiQTS6TSPpetx5XIZ0WgU9XodbrcbNpuNyTyRjvL5PB4+fGjKgXdM4omIiOjSnD1b3el0wuVymXL4XbPZRDQaPT2Wzm63m/LrcB1UKhXE43EcHh7C5XLxWhLpyKwD75jEExER0aWr1+uIRCIol8vw+XywWq2m7C+u1WpQFAXVatXUX4fr4PDwEPF4HJVKBQ6HA3a7nVUWRDow48A7JvFERER0ZarVKhRFgaqqpj6OjcfSXR/Hx8dIJBIoFAqwWq1wOp0YGRnROywiUzHbwDsm8URERHTlusexDQ4Owu/3Y2pqSu+QdMFj6a6PRqOBZDKJbDaLhYUFuFwuUw51JNJTNBpFJpO59gPvmMQTERGRLqSUyGaziEQimJ6ehs/nM+VxbGePpZuYmIDf72fy18NUVUU6nUYqlcLk5CTcbjcXZ4iukBkG3j0riR+46mCIiIjIPIQQsNlssFgsSCaT+Pjjj2GxWOD1ek3VWyyEgNVqhcViQSqVwieffIL5+Xl4vV6WZfegwcFBeDweOJ1OZLNZbG9vY3h4GC6XC/Pz85yBQHTJLBYLRkZG8ODBAzSbTTgcDr1DulLciSciIqIro6oqotEo8vk8nE4nnE6nKad+nz2Wzmazwe12m2pR47qRUmJ/fx/xeBxSSrhcLp41T3QF6vU67t27h8XFRfj9fr3DuVDP2onX7ZVFCPH9QohNIYQmhHhicCeP+7Mnj3sghPh5IQSXq4mIiHrU4OAgbty4gdu3b+Po6AjvvfceMpkMruOmwrN05wS88847aLfbeP/99xGPx9HpdPQOjV6CEAIWiwVvv/02AoEAcrkc3n33XSQSCbTbbb3DI7q2RkdH8eabb6JUKmFnZweapukd0pXQc3nwAYA/AOC3nvYAIYQDwI8CeFtKeRNAP4AvXE14REREdFnGxsawsbGBjY0N5HI53L17F4VCQe+wrtzw8DCCwSBu376Nw8ND0y5qXCdzc3N4/fXXcevWLVSrVbz33ntQFAWtVkvv0IiupcHBQbzxxhtotVp48OCBKRZDdUvipZTbUsrdczx0AMCoEGIAwBiA9OVGRkRERFdlenoab7zxBnw+HxRFwSeffIJqtap3WFfu8UWNDz74wJSLGtfJ5OQkNjY2cPv27dNqi93dXdRqNb1DI7p2+vv7T4+d++STT6Cqqt4hXSpDN+pIKVMA/mcAcQAZABUp5Vf0jYqIiIgu2sLCAt555x0sLS3hwYMH2NzcNGWy013UCAQCiEQi+Oijj1Aul/UOi17B2NgYVlZWcOfOHQwODuLjjz/G5uYmDg8P9Q6N6Frp6+vD6uoqZmdn8dFHH6Fer+sd0qW51On0Qoh/B8D6hDf9JSnlL5/j/88C+F4APgBlAP9MCPGHpZT/+AmP/SKALwKAzWZ7lbCJiIhIB5xk/zXz8/OYm5tDLpfDzs4OxsfH4fP5rvWZyNfd0NAQ/H4/3G43MpkM7t+/j7GxMbjdbszNzekdHtG14ff7MTw8jI8//hi3bt3C5OSk3iFdON2n0wshfhPAj0sp7z7hbd8P4PdKKf/4yd//KIDPSSn/5LPeJ6fTExER9b5Wq4VYLGb6SfaapiGVSiGRSGB2dhY+n4/H0l0DmqYhn88jkUhACHE60Z7H0xFdjP39fezt7WFtba0nF8oMOZ3+nOIAPieEGBOPXtG+A8C2zjERERHRFRgaGuIkezwqEXW5XLhz5w5GRkZw9+5dhEKha9/zed319fXBarXi7bffhtfrRTqdxnvvvYdUKmWKwVxEl21xcRE3b97Ezs4Ocrmc3uFcKD2PmPs+IUQSwDcC+FdCiF89+Xe7EOJfA4CU8j0AvwDgIwD3T+L9WZ1CJiIiIh2cHfqWzWZx9+5dHBwc6B3WlRsYGIDP58OdO3egaRref/99xGIxJnw9TgiBhYUF3L59G2trayiVSnjvvfcQjUa5UEP0iqanp/H6669DURQkEgm9w7kwupfTXwaW0xMREV1fhUIBiqKc9hhPTU3pHZIuarUaIpEIKpUKvF4vrFYr+vqMXmRJ51Gr1RCPx1EoFGC1WuF0OtlCQfQKGo0G7t+/j9nZWQQCgZ5oW3lWOT2TeCIiIuo5Ukpks1lEIhHMzMzA5/NhdHRU77B0Ua1WoSgKms0mvF4v+6qvkWaziWQyiUwmg/n5ebjdboyPj+sdFlFPUlUVDx48wPDwMFZXVw2/6MkknoiIiK6lTqeDRCKBVCqFpaUleDwe002y7yoWi4hEItA0DT6fDwsLC3qHRBdEVVWk02mkUilMTk7C7XZjenpa77CIek6n08H29jY6nQ42NjYwMHCph7W9EibxREREdK21Wi1Eo1Hs7+/D5XLB4XCYcpI98KjdIBKJoL+/Hz6fD7Ozs3qHRBdE0zRks1kkEgkMDg7C7XZjfn6elRdEL0BKib29PVSrVbz++usYGhrSO6QnYhJPREREpnC2T9zv92NpacmUCY6UEvl8HtFoFMPDw/D5fNy5vUaklCgUCojH4+h0OnC5XFhaWjJ8eTCRkcRiMWQyGbz22msYGxvTO5yvwySeiIiITKVSqUBRFLTbbfj9fszPz+sdki40TUMul0M0GsXExAR8Ph8mJib0DosuUKlUQjwex/HxMVwuF2w2m6FLhImMJJPJIBKJYGNjw3ALnUziiYiIyJTOTrIPBAKYnJzUOyRdaJqGdDqNeDyO6elp+Hw+Q+480cs7PDxEIpFAqVSCzWaD0+k0bJkwkZEUCgXs7u5ibW0Nc3Nzeodzikk8ERERmZaUEplMBtFo1PST7NvtNlKpFJLJJObn5+H1enl02TVTr9eRSCSQz+exuLgIl8vFBRui56hUKnjw4AGCwaBhhoIyiSciIiLTa7fbSCaTnGSPR9POE4kE0un06deCu7bXi6qqSCaTSKfTmJmZgcvlwtTUlN5hERnW4eEh7t+/j0AggKWlJb3DYRJPRERE1MVJ9l/TarUQj8eRzWZht9vhcrlMu7BxXbXbbWQyGaRSKQwPD8PpdGJhYcGUAx+Jnuf4+BiffvopvF4v7Ha7rrEwiSciIiJ6THeSfbVahc/nM+0kewBoNBqIxWIoFApwOBxwOp0cjnbNdCfaJ5NJNJtNOBwODsEjeoJarYZPP/0UTqcTLpdLtziYxBMRERE9BSfZf02tVkM0GkW5XIbL5YLdbjdtlcJ1VqlUkEwmT4fgORwOzkYgOqPRaODTTz/F0tISvF6vLjEwiSciIiJ6jkKhgHA4jOHhYVNPsgeAo6MjRKNRVKtVeL1eWK1WnkF+DdXrdaRSKWSzWczOzrJvnuiMVquFTz/9FHNzcwgEAlf+8ZnEExEREZ2DpmnIZrOcZH+iWq0iEomgXq/D6/WauuXgOmPfPNGTqaqKe/fuYXJyEjdu3LjS5wSTeCIiIqIX0J1kn0wmYbVaTT3JHgDK5TIikQja7Ta8Xi8WFxf1DonO6GgSH6brCBdbCMwN4S37KPr7XjzZ6PbNJxIJtFot9s0T4dHPg/v372NkZASrq6tXlsgziSciIiJ6Ca1WC5FIBIVCwfST7AHg4OAAiqKgr68PPp8Pc3Nzeodkeh1N4id/PYfdQgvNtsTwgEBwYQg/9e1LL5XId7FvnuhrOp0OHjx4gIGBAaytrV1Je9Gzkng2NxERERE9xdDQEILBIG7fvo1qtYr3338f2WwW13ET5Dzm5+fx9ttvw+VyIRQK4eOPP0alUtE7LFP7MF3HbqGFRltCAmi0JXYLLXyYrr/S+52ensbGxgbeeustSClx9+5dbG5uolqtXkzgRD2kv78ft27dgpQSDx48gKZpusbDJJ6IiIjoOcbGxnDz5k2sr68jk8ng7t27KBQKeoelCyEELBYL3nnnHdhsNmxvb+PevXs4PDzUOzRTChcf7cCf1WxLKKXWhbz/0dFRLC8v43Of+xympqawubmJjz/+GPv7+6ZdzCJz6uvrw/r6Ovr7+3VP5JnEExEREZ3T9PQ0bt++DZ/Ph0gkYuqdaCEErFYr7ty5g/n5edy/fx+bm5s4Pj7WOzRTCcwNYXjgs2XzwwMC/tmhC/04AwMDcLlc+NznPgeHw4FEIoH33nsPiUQC7Xb7Qj8WkVGdTeQ3Nzd1S+SZxBMRERG9oIWFBbz99tuw2WzY2trCgwcPUKvV9A5LF319fXA4HPiGb/gGTE1N4ZNPPsH29jbq9Vcr56bzecs+iuDCEEYGBASAkZOe+Lfsl3OqQrcS480338Ta2hqq1SreffddhEIhXnMyBSHEaV/81taWLok8B9sRERERvYJOp4N0Oo14PI6FhQV4vV4MDw/rHZZuVFVFMplEKpWCxWKBx+Mx9dfjKnSn0yulFvyzLz+d/mU1Gg2k02lkMhlMT0/D6XRiZmbmyj4+kR40TcPW1hYAYH19/cKH3XE6PREREdElU1UViUQC6XQadrsdLpfL1MfSqaqKeDyOTCYDm80Gt9tt6q+HGXQ6HWSzWaRSKQgh4HK5YLFYrmSSN5EeNE3D5uYm+vr6LnxqPZN4IiIioivSbDYRjUZRKBTgdrtht9tNfSxds9lELBZDPp+Hw+GA0+lkMn/NSSlRLBaRTCZxfHx8ekTd0NDF9ukTGcHZRH59ff3CzpFnEk9ERER0xWq1GhRFweHhIXw+H5aWli7s5q4X1et1RKNRFItFuFwuOBwOUy9umEWtVkMikcD+/j7m5+fhdDoxOTmpd1hEF0rTtM+cI38Rr/VM4omIiIh0UqlUoCgK2u02fD4fFhYW9A5JV7VaDZFIBJVKBR6PBzabjeXWJqCqKjKZDFKpFEZGRuB0OrGwsGDqhS26XjRNw/379zE4OHghiTyTeCIiIiKdFQoFRCIRDAwMwO/3Y3p6Wu+QdHV4eIhIJILj42NWKpiIpmkoFApIpVJoNBpwOp2wWq1ssaBrodPp4MGDBxgaGsLq6uorvaYxiSciIiIyACklcrkcIpEIJicn4fP5MD4+rndYuqpUKohEImi1WvB6vVhcXGQybxLVahXJZBLFYhEWiwVOpxNjY2N6h0X0SjqdDu7fv4/R0VEEg8GXfj+mS+KFEPsAYnrH8QIWABT0DoLOhdeqt/B69RZer97C69VbeL16B69Vb+H16i29dL08UsrFJ73hWibxvUYIcfdpqyxkLLxWvYXXq7fwevUWXq/ewuvVO3iteguvV2+5LteLU0SIiIiIiIiIegSTeCIiIiIiIqIewSTeGH5W7wDo3HiteguvV2/h9eotvF69hderd/Ba9RZer95yLa4Xe+KJiIiIiIiIegR34omIiIiIiIh6BJP4KyCEcAkhfkMIsSWE2BRC/NgTHiOEEP+LECIkhLgnhHhTj1jp3Nfr24QQFSHEJye/flKPWAkQQowIId4XQnx6cr3+6hMeMyyE+Kcnz6/3hBBeHUIlnPt6/ZAQYv/M8+tP6BErPSKE6BdCfCyE+JdPeBufWwbznOvF55aBCCGiQoj7J9fi7hPezntDAznH9eK9oYEIIWaEEL8ghNgRQmwLIb7xsbf39PNrQO8ATKIN4M9JKT8SQkwC+FAI8WtSyq0zj/l9AG6c/PoGAH/v5He6eue5XgDw21LK79YhPvqsJoBvl1IeCSEGAXxVCPFvpJTvnnnMHwdQklIuCyG+AOBvAPgBPYKlc10vAPinUso/pUN89PV+DMA2gKknvI3PLeN51vUC+Nwymt8lpXzamdW8NzSeZ10vgPeGRvJ3APxbKeUfEkIMARh77O09/fziTvwVkFJmpJQfnfz5EI9+uDoee9j3AvhH8pF3AcwIIWxXHCrh3NeLDOLkOXN08tfBk1+PD/v4XgA/d/LnXwDwHUIIcUUh0hnnvF5kEEIIJ4DfD+BLT3kIn1sGco7rRb2F94ZEL0EIMQ3g8wD+PgBIKVtSyvJjD+vp5xeT+Ct2Ump4G8B7j73JASBx5u9JMHHU3TOuFwB840lJ8L8RQmxcbWR01kn56CcA8gB+TUr51OeXlLINoAJg/kqDpFPnuF4A8AdPytt+QQjhutoI6Yy/DeAnAGhPeTufW8byt/Hs6wXwuWUkEsBXhBAfCiG++IS3897QWJ53vQDeGxqFD8A+gP/zpL3oS0KI8cce09PPLybxV0gIMQHgFwH8GSllVe946Nmec70+AuCRUr4O4GcA/IsrDo/OkFJ2pJRvAHACuCOEuKlzSPQM57he/y8Ar5TyNQC/hq/t9NIVEkJ8N4C8lPJDvWOh5zvn9eJzy1i+RUr5Jh6V9f5XQojP6x0QPdPzrhfvDY1jAMCbAP6elPI2gGMAf1HfkC4Wk/grctL7+YsA/omU8pee8JAUgLMr4s6TfyMdPO96SSmr3ZJgKeW/BjAohFi44jDpMSelUr8B4Pc+9qbT55cQYgDANICDKw2Ovs7TrpeU8kBK2Tz565cAvHXFodEj3wzge4QQUQD/N4BvF0L848cew+eWcTz3evG5ZSxSytTJ73kA/xzAnccewntDA3ne9eK9oaEkASTPVPr9Ah4l9Wf19POLSfwVOOkP/PsAtqWUf+spD/sVAH/0ZFLi5wBUpJSZKwuSTp3negkhrN2+TyHEHTx6LvHGVQdCiEUhxMzJn0cB/G4AO4897FcA/LGTP/8hAL8upWQftg7Oc70e60n7HjyaS0FXTEr530gpnVJKL4Av4NHz5g8/9jA+twziPNeLzy3jEEKMnwzPxUmZ7+8B8OCxh/He0CDOc714b2gcUsosgIQQInjyT98B4PEB1T39/OJ0+qvxzQD+CID7J32gAPDfAnADgJTyfwPwrwF8F4AQgBqAH776MOnEea7XHwLwXwoh2gDqAL7AG1fd2AD8nBCiH49+YP4/Usp/KYT4KQB3pZS/gkeLMv+XECIEoIhHN7ikj/Ncrx8VQnwPHp0UUQTwQ7pFS1+Hz63ewueWYS0B+OcnOd8AgC9LKf+tEOJHAN4bGtB5rhfvDY3lTwP4JyeT6RUAP3ydnl+C31tEREREREREvYHl9EREREREREQ9gkk8ERERERERUY9gEk9ERERERETUI5jEExEREREREfUIJvFEREREREREPYJJPBEREREREVGPYBJPRESkIyHEfzzHY/6MEGLsKuJ5wseeEUL8yZf4f78ghPBfRkyPfZy/KYTYFEL8zWc85rtPzksnIiLqeTwnnoiIyOCEEFEAb0spCy/wf/qllJ0L+NheAP9SSnnzBf7PBoD/QUr5fa/68c/xsSoA5p71uQohBICPAHyzlLJ22TERERFdJu7EExER6UgIcXTy+7cJIX7zZAd7RwjxT8QjPwrADuA3hBC/cfLY3yOE+B0hxEdCiH8mhJg4+feoEOJvCCE+AvD9Qojfe/KYT4UQ//7kMeNCiH8ghHhfCPGxEOJ7T/79h4QQv3wSw0MhxF8+CfF/AhAQQnxysuttE0L81snfHwghvvUJn9YPAvjlM5/j3xNC3D3ZMf+rz/l6vCOE+I8nMb8vhJgUQniFEL998rl8JIT4ppPH/gqACQAfCiF+QAixKIT4RSHEBye/vhkA5KMdi98E8N0vc42IiIiMhDvxREREOhJCHEkpJ4QQ34ZHie8GgDSA/wDgz0spv3p2J14IsQDglwD8PinlsRDiLwAYllL+1Mnj/q6U8qeFEIt4tPv8eSllRAgxJ6UsCiH+RwBbUsp/LISYAfA+gNsAvh/AXwdwE0ANwAcAfghAAWd24oUQfw7AiJTyrwkh+gGMSSkPH/uc/j8Af0pKef/k792P3Q/g3wP4USnlvSd8LYYA7AD4ASnlB0K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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "levels = [0.1, 0.3, 0.5, 0.8, 0.99]\n", + "draw_ellipse(mu=Mu, sigma=Sigma, level=levels, plot_points=vary_effects)" + ] + }, + { + "cell_type": "markdown", + "id": "22004069", + "metadata": {}, + "source": [ + "**Overthinking**: We define the *covariance* with 3 parameters: (pag 440)\n", + "\n", + " 1. Firt variable standart deviations $\\sigma_\\alpha$\n", + " 2. Second variable standart deviations $ \\sigma_\\beta $\n", + " 3. Correlation between two variables $\\rho_{\\alpha\\beta}$\n", + " \n", + "Whu the covariance is equal to $\\sigma_\\alpha \\sigma_\\beta \\rho_{\\alpha\\beta}$?\n", + "\n", + "The usual definition of the covariance between two variables $x$ and $y$ is:\n", + "\n", + "$$ cov(x, y) = \\mathbb{E}(xy) - \\mathbb{E}(x)\\mathbb{E}(y) $$\n", + "\n", + "\n", + "To simple variance this concept is the same:\n", + "\n", + "$$ var(x) = cov(x, x) = \\mathbb{E}(x^2) - \\mathbb{E}(x)^2$$\n", + "\n", + "\n", + "If the variable with only mean equal zero ($0$), then the variance to be:\n", + "\n", + "$$ var(x) = cov(x) = \\mathbb{E}(x^2), \\mbox{ if the } \\mathbb{E}(x) = 0 $$\n", + "\n", + "\n", + "The correlation live in $[-1, 1]$, this is only the covariance rescaled. To be rescaled covariance just:\n", + "\n", + "$$ cov(xy) = \\sqrt{var(x)var(y)} \\rho_{xy} $$\n", + "\n", + "or better:\n", + "\n", + "$$ cov(xy) = \\sigma_x \\sigma_y \\rho_{xy} $$\n" + ] + }, + { + "cell_type": "markdown", + "id": "64e98487", + "metadata": {}, + "source": [ + "### R Code 14.10" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "28926ac9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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cafeafternoonwait
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" + ], + "text/plain": [ + " cafe afternoon wait\n", + "0 1 0 2.713830\n", + "1 1 1 1.965617\n", + "2 1 0 3.261427\n", + "3 1 1 2.836598\n", + "4 1 0 3.105162\n", + ".. ... ... ...\n", + "195 20 1 4.001264\n", + "196 20 0 3.991292\n", + "197 20 1 2.764103\n", + "198 20 0 3.507337\n", + "199 20 1 2.439118\n", + "\n", + "[200 rows x 3 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N_visit = 10\n", + "\n", + "afternoon = np.tile([0, 1], reps=int((N_visit*N_cafe)/2))\n", + "cafe_id = np.repeat(np.arange(0, N_cafe), N_visit)\n", + "\n", + "mu = a_cafe[cafe_id] + b_cafe[cafe_id]*afternoon\n", + "sigma = 0.5 # std dev within cafes\n", + "\n", + "wait = np.random.normal(mu, sigma, size=N_visit*N_cafe)\n", + "cafe_id += 1 # index from 1 to 20 cafe_id, need to Stan index\n", + "\n", + "d = pd.DataFrame({'cafe': cafe_id, 'afternoon':afternoon, 'wait': wait})\n", + "d" + ] + }, + { + "cell_type": "markdown", + "id": "fa7be75a", + "metadata": {}, + "source": [ + "## 14.1.3 The varing slope model" + ] + }, + { + "cell_type": "markdown", + "id": "88cfd75a", + "metadata": {}, + "source": [ + "The likelihood:\n", + "\n", + "$$ W_i \\sim Normal(\\mu_i, \\sigma) $$\n", + "\n", + "and the linear model:\n", + "\n", + "$$ \\mu_i = \\alpha_{CAFÉ[i]} + \\beta_{CAFÉ[i]}A_i $$\n", + "\n", + "\n", + "Then comes the matrix of varing intercepts and slopes, with it's covariance matrix:\n", + "\n", + "Population of varying effects:\n", + "$$\n", + "\\begin{bmatrix}\n", + "\\alpha_{CAFÉ} \\\\\n", + "\\beta_{CAFÉ}\n", + "\\end{bmatrix} \n", + "\\sim Normal\n", + "\\begin{pmatrix}\n", + "\\begin{bmatrix}\n", + "\\alpha \\\\\n", + "\\beta\n", + "\\end{bmatrix}, S\n", + "\\end{pmatrix}\n", + "$$\n", + "\n", + "construct covariance matrix:\n", + "\n", + "$$S = \n", + "\\begin{pmatrix} \n", + "\\sigma_\\alpha & 0 \\\\\n", + "0 & \\sigma_\\beta\n", + "\\end{pmatrix}\n", + "R\n", + "\\begin{pmatrix} \n", + "\\sigma_\\alpha & 0 \\\\\n", + "0 & \\sigma_\\beta\n", + "\\end{pmatrix}\n", + "$$\n", + "\n", + "The $R$ is the correlation matrix. In this simple case $R$ is defined like:\n", + "\n", + "$$\n", + "R = \n", + "\\begin{pmatrix}\n", + "1 & \\rho \\\\\n", + "\\rho & 1\n", + "\\end{pmatrix}\n", + "$$\n", + "\n", + "\n", + "And the priors and hyper-priors:\n", + "\n", + "- prior for intercept:\n", + "\n", + "$$ \\alpha \\sim Normal(5, 2) $$\n", + "\n", + "\n", + "- prior for average slope:\n", + "\n", + "$$ \\beta \\sim Normal(-1, 0.5) $$\n", + "\n", + "\n", + "\n", + "- prior for stddev within cafés\n", + "\n", + "$$\\sigma \\sim Exponential(1) $$\n", + "\n", + "\n", + "- prior for stddev among cafés\n", + "\n", + "$$ \\sigma_\\alpha \\sim Exponential(1) $$\n", + "\n", + "\n", + "- prior for stddev among slopes\n", + "\n", + "$$ \\sigma_\\beta \\sim Exponential(1) $$\n", + "\n", + "- prior for correlation matrix\n", + "\n", + "$$ R \\sim LKJcorr(2) $$" + ] + }, + { + "cell_type": "markdown", + "id": "ea5c9358", + "metadata": {}, + "source": [ + "### R Code 14.11" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f2fe1860", + "metadata": {}, + "outputs": [], + "source": [ + "# Dont have the function LKJcorr implemented in numpy or scipy\n", + "# Stan implementation - https://mc-stan.org/docs/functions-reference/lkj-correlation.html" + ] + }, + { + "cell_type": "markdown", + "id": "d8fd631e", + "metadata": {}, + "source": [ + "### R Code 14.12" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "4b0fcf68", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_983splkk/model_pfhxzmx3.stan', line 27, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_983splkk/model_pfhxzmx3.stan', line 38, column 8: It\n", + " is suggested to reparameterize your model to replace lkj_corr with\n", + " lkj_corr_cholesky, the Cholesky factor variant. lkj_corr tends to run\n", + " slower, consume more memory, and has higher risk of numerical errors.\n", + "Warning: The parameter beta_cafe has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha_cafe has no priors. This means either no prior\n", + " is provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 15% (1200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 24% (1900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 45% (3600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 66% (5300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: multi_normal_lpdf: Covariance matrix is not symmetric. Covariance matrix[1,2] = 1.66921e+09, but Covariance matrix[2,1] = 1.66921e+09 (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 51, column 8 to column 72)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000109 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.09 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: multi_normal_lpdf: Covariance matrix is not symmetric. Covariance matrix[1,2] = -3.62581e+08, but Covariance matrix[2,1] = -3.62581e+08 (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 51, column 8 to column 72)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 7.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 9.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.96 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_hl0okcyy/model_pfhxzmx3.stan', line 38, column 8 to column 26)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "# https://mc-stan.org/docs/stan-users-guide/multivariate-hierarchical-priors.html\n", + "\n", + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int N_cafe;\n", + " int N_periods;\n", + " \n", + " array[N] real wait;\n", + " array[N] int cafe;\n", + " array[N] int afternoon; \n", + " }\n", + " \n", + " parameters {\n", + " real sigma;\n", + " vector[2] sigma_cafe;\n", + " \n", + " vector[N_cafe] alpha_cafe;\n", + " vector[N_cafe] beta_cafe;\n", + " \n", + " real alpha; // Like bar_alpha (hyper-prior)\n", + " real beta; // Like bar_beta (hyper-prior)\n", + " \n", + " corr_matrix[N_periods] Rho;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " vector[2] Y_cafe[N_cafe];\n", + " vector[2] MU_cafe;\n", + " \n", + " //(sigma) - Prior to likelihood\n", + " sigma ~ exponential(1); \n", + " \n", + " \n", + " // (sigma_cafe) - Hyper Prior\n", + " sigma_cafe ~ exponential(1);\n", + " \n", + " // (Rho) - Hyper Prior\n", + " Rho ~ lkj_corr(2);\n", + " \n", + " // (MU_cafe) - Hyper Prior\n", + " alpha ~ normal(5, 2);\n", + " beta ~ normal(-1, 0.5);\n", + " \n", + " MU_cafe = [alpha, beta]';\n", + " \n", + " // (alpha_cafe, beta_cafe) - Prior \n", + " for (j in 1:N_cafe){\n", + " Y_cafe[j] = [alpha_cafe[j], beta_cafe[j]]' ; \n", + " }\n", + " \n", + " Y_cafe ~ multi_normal(MU_cafe, quad_form_diag(Rho, sigma_cafe)); // Prior to alpha_cafe and beta_cafe\n", + " \n", + " \n", + " // (mu) - Linear model\n", + " for (i in 1:N){\n", + " mu[i] = alpha_cafe[ cafe[i] ] + beta_cafe[ cafe[i] ] * afternoon[i];\n", + " }\n", + " \n", + " // Likelihood \n", + " wait ~ normal(mu, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': len(d),\n", + " 'N_cafe': N_cafe,\n", + " 'N_periods': len(d.afternoon.unique()),\n", + " 'wait': d.wait.values,\n", + " 'afternoon': d.afternoon.values,\n", + " 'cafe': d.cafe.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5507056e", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [], + "source": [ + "model_another_way = \"\"\"\n", + " data {\n", + " int N;\n", + " int N_cafe;\n", + " int N_periods;\n", + " \n", + " array[N] real wait;\n", + " array[N] int cafe;\n", + " array[N] int afternoon; \n", + " }\n", + " \n", + " parameters {\n", + " real sigma;\n", + " vector[2] sigma_cafe;\n", + " \n", + " vector[N_cafe] alpha_cafe;\n", + " vector[N_cafe] beta_cafe;\n", + " \n", + " real alpha; // Like bar_alpha (hyper-prior)\n", + " real beta; // Like bar_beta (hyper-prior)\n", + " \n", + " corr_matrix[N_periods] Rho;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " //(sigma) - Prior to likelihood\n", + " sigma ~ exponential(1); \n", + " \n", + " \n", + " // (sigma_cafe) - Hyper Prior\n", + " sigma_cafe ~ exponential(1);\n", + " \n", + " // (Rho) - Hyper Prior\n", + " Rho ~ lkj_corr(2);\n", + " \n", + " // (MU_cafe) - Hyper Prior\n", + " alpha ~ normal(5, 2);\n", + " beta ~ normal(-1, 0.5);\n", + "\n", + " for (i in 1:N_cafe){\n", + " [alpha_cafe[i], beta_cafe[i]]' ~ multi_normal([alpha, beta]', quad_form_diag(Rho, sigma_cafe));\n", + " }\n", + " \n", + " \n", + " // (mu) - Linear model\n", + " for (i in 1:N){\n", + " mu[i] = alpha_cafe[ cafe[i] ] + beta_cafe[ cafe[i] ] * afternoon[i];\n", + " }\n", + " \n", + " // Likelihood \n", + " wait ~ normal(mu, sigma);\n", + " }\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "939d2de3", + "metadata": {}, + "outputs": [], + "source": [ + "m14_1 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "c57dd6f0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n" + ] + }, + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
sigma0.4940.0270.4540.5410.0000.0005147.03085.01.0
sigma_cafe[0]0.9550.1630.6951.1870.0020.0025092.03241.01.0
sigma_cafe[1]0.4540.1070.2810.6160.0020.0022209.01995.01.0
alpha_cafe[0]2.9440.2042.6083.2590.0030.0025598.03371.01.0
alpha_cafe[1]1.1020.2130.7661.4450.0030.0025163.03691.01.0
alpha_cafe[2]3.7140.2083.3844.0430.0030.0024668.02735.01.0
alpha_cafe[3]4.1530.1993.8074.4470.0030.0025745.03062.01.0
alpha_cafe[4]3.3060.2032.9763.6150.0030.0024642.03251.01.0
alpha_cafe[5]4.8360.2024.4865.1350.0030.0025839.03544.01.0
alpha_cafe[6]4.2590.2033.9484.5980.0030.0025354.03489.01.0
alpha_cafe[7]4.8350.2154.4785.1650.0030.0024494.03171.01.0
alpha_cafe[8]2.7440.2062.4363.0750.0030.0025784.02714.01.0
alpha_cafe[9]5.1940.2044.8695.5150.0030.0024640.03116.01.0
alpha_cafe[10]3.9510.2053.6544.3030.0030.0024219.02878.01.0
alpha_cafe[11]4.5240.2084.1814.8440.0030.0025084.03117.01.0
alpha_cafe[12]2.5570.2022.2302.8810.0030.0024584.02660.01.0
alpha_cafe[13]3.5540.2103.1983.8640.0030.0024083.02590.01.0
alpha_cafe[14]3.8060.2023.4874.1240.0030.0025093.03223.01.0
alpha_cafe[15]2.6860.2062.3543.0120.0030.0024761.03236.01.0
alpha_cafe[16]3.5370.2023.2283.8800.0030.0025647.03117.01.0
alpha_cafe[17]3.5140.2043.1713.8210.0030.0025429.03417.01.0
alpha_cafe[18]3.7180.2053.3954.0410.0030.0025135.03168.01.0
alpha_cafe[19]3.4530.2023.1353.7760.0030.0025510.03590.01.0
beta_cafe[0]-0.7660.234-1.154-0.4140.0030.0025345.03726.01.0
beta_cafe[1]-0.1190.275-0.5490.3240.0040.0044223.02961.01.0
beta_cafe[2]-0.6860.259-1.080-0.2710.0040.0033532.02484.01.0
beta_cafe[3]-1.1780.231-1.534-0.7990.0030.0025704.02683.01.0
beta_cafe[4]-0.8630.228-1.222-0.4900.0030.0024366.03321.01.0
beta_cafe[5]-1.4500.238-1.821-1.0700.0030.0025271.03484.01.0
beta_cafe[6]-1.3780.240-1.762-0.9910.0040.0034525.03184.01.0
beta_cafe[7]-1.6730.263-2.112-1.2670.0040.0033798.03061.01.0
beta_cafe[8]-0.6190.243-1.024-0.2480.0030.0035271.03084.01.0
beta_cafe[9]-1.4460.253-1.856-1.0470.0040.0034326.02741.01.0
beta_cafe[10]-1.3240.245-1.719-0.9440.0040.0033760.02877.01.0
beta_cafe[11]-1.4210.243-1.819-1.0540.0040.0034647.03288.01.0
beta_cafe[12]-0.5910.239-0.978-0.2160.0030.0024727.03014.01.0
beta_cafe[13]-1.3570.265-1.749-0.9090.0050.0042824.02721.01.0
beta_cafe[14]-1.0450.229-1.428-0.7090.0030.0025144.03521.01.0
beta_cafe[15]-0.8260.244-1.234-0.4580.0040.0034317.03206.01.0
beta_cafe[16]-0.9660.234-1.344-0.6070.0030.0024929.03126.01.0
beta_cafe[17]-0.8260.241-1.220-0.4450.0030.0025018.03167.01.0
beta_cafe[18]-0.8210.244-1.203-0.4250.0040.0034382.02956.01.0
beta_cafe[19]-0.6400.251-1.071-0.2680.0040.0033712.03520.01.0
alpha3.6320.2163.2933.9720.0030.0024168.03264.01.0
beta-1.0030.120-1.196-0.8140.0020.0013412.03079.01.0
Rho[0, 0]1.0000.0001.0001.0000.0000.0004000.04000.0NaN
Rho[0, 1]-0.7430.142-0.961-0.5530.0030.0022243.01976.01.0
Rho[1, 0]-0.7430.142-0.961-0.5530.0030.0022243.01976.01.0
Rho[1, 1]1.0000.0001.0001.0000.0000.0003969.03852.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd \\\n", + "sigma 0.494 0.027 0.454 0.541 0.000 0.000 \n", + "sigma_cafe[0] 0.955 0.163 0.695 1.187 0.002 0.002 \n", + "sigma_cafe[1] 0.454 0.107 0.281 0.616 0.002 0.002 \n", + "alpha_cafe[0] 2.944 0.204 2.608 3.259 0.003 0.002 \n", + "alpha_cafe[1] 1.102 0.213 0.766 1.445 0.003 0.002 \n", + "alpha_cafe[2] 3.714 0.208 3.384 4.043 0.003 0.002 \n", + "alpha_cafe[3] 4.153 0.199 3.807 4.447 0.003 0.002 \n", + "alpha_cafe[4] 3.306 0.203 2.976 3.615 0.003 0.002 \n", + "alpha_cafe[5] 4.836 0.202 4.486 5.135 0.003 0.002 \n", + "alpha_cafe[6] 4.259 0.203 3.948 4.598 0.003 0.002 \n", + "alpha_cafe[7] 4.835 0.215 4.478 5.165 0.003 0.002 \n", + "alpha_cafe[8] 2.744 0.206 2.436 3.075 0.003 0.002 \n", + "alpha_cafe[9] 5.194 0.204 4.869 5.515 0.003 0.002 \n", + "alpha_cafe[10] 3.951 0.205 3.654 4.303 0.003 0.002 \n", + "alpha_cafe[11] 4.524 0.208 4.181 4.844 0.003 0.002 \n", + "alpha_cafe[12] 2.557 0.202 2.230 2.881 0.003 0.002 \n", + "alpha_cafe[13] 3.554 0.210 3.198 3.864 0.003 0.002 \n", + "alpha_cafe[14] 3.806 0.202 3.487 4.124 0.003 0.002 \n", + "alpha_cafe[15] 2.686 0.206 2.354 3.012 0.003 0.002 \n", + "alpha_cafe[16] 3.537 0.202 3.228 3.880 0.003 0.002 \n", + "alpha_cafe[17] 3.514 0.204 3.171 3.821 0.003 0.002 \n", + "alpha_cafe[18] 3.718 0.205 3.395 4.041 0.003 0.002 \n", + "alpha_cafe[19] 3.453 0.202 3.135 3.776 0.003 0.002 \n", + "beta_cafe[0] -0.766 0.234 -1.154 -0.414 0.003 0.002 \n", + "beta_cafe[1] -0.119 0.275 -0.549 0.324 0.004 0.004 \n", + "beta_cafe[2] -0.686 0.259 -1.080 -0.271 0.004 0.003 \n", + "beta_cafe[3] -1.178 0.231 -1.534 -0.799 0.003 0.002 \n", + "beta_cafe[4] -0.863 0.228 -1.222 -0.490 0.003 0.002 \n", + "beta_cafe[5] -1.450 0.238 -1.821 -1.070 0.003 0.002 \n", + "beta_cafe[6] -1.378 0.240 -1.762 -0.991 0.004 0.003 \n", + "beta_cafe[7] -1.673 0.263 -2.112 -1.267 0.004 0.003 \n", + "beta_cafe[8] -0.619 0.243 -1.024 -0.248 0.003 0.003 \n", + "beta_cafe[9] -1.446 0.253 -1.856 -1.047 0.004 0.003 \n", + "beta_cafe[10] -1.324 0.245 -1.719 -0.944 0.004 0.003 \n", + "beta_cafe[11] -1.421 0.243 -1.819 -1.054 0.004 0.003 \n", + "beta_cafe[12] -0.591 0.239 -0.978 -0.216 0.003 0.002 \n", + "beta_cafe[13] -1.357 0.265 -1.749 -0.909 0.005 0.004 \n", + "beta_cafe[14] -1.045 0.229 -1.428 -0.709 0.003 0.002 \n", + "beta_cafe[15] -0.826 0.244 -1.234 -0.458 0.004 0.003 \n", + "beta_cafe[16] -0.966 0.234 -1.344 -0.607 0.003 0.002 \n", + "beta_cafe[17] -0.826 0.241 -1.220 -0.445 0.003 0.002 \n", + "beta_cafe[18] -0.821 0.244 -1.203 -0.425 0.004 0.003 \n", + "beta_cafe[19] -0.640 0.251 -1.071 -0.268 0.004 0.003 \n", + "alpha 3.632 0.216 3.293 3.972 0.003 0.002 \n", + "beta -1.003 0.120 -1.196 -0.814 0.002 0.001 \n", + "Rho[0, 0] 1.000 0.000 1.000 1.000 0.000 0.000 \n", + "Rho[0, 1] -0.743 0.142 -0.961 -0.553 0.003 0.002 \n", + "Rho[1, 0] -0.743 0.142 -0.961 -0.553 0.003 0.002 \n", + "Rho[1, 1] 1.000 0.000 1.000 1.000 0.000 0.000 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "sigma 5147.0 3085.0 1.0 \n", + "sigma_cafe[0] 5092.0 3241.0 1.0 \n", + "sigma_cafe[1] 2209.0 1995.0 1.0 \n", + "alpha_cafe[0] 5598.0 3371.0 1.0 \n", + "alpha_cafe[1] 5163.0 3691.0 1.0 \n", + "alpha_cafe[2] 4668.0 2735.0 1.0 \n", + "alpha_cafe[3] 5745.0 3062.0 1.0 \n", + "alpha_cafe[4] 4642.0 3251.0 1.0 \n", + "alpha_cafe[5] 5839.0 3544.0 1.0 \n", + "alpha_cafe[6] 5354.0 3489.0 1.0 \n", + "alpha_cafe[7] 4494.0 3171.0 1.0 \n", + "alpha_cafe[8] 5784.0 2714.0 1.0 \n", + "alpha_cafe[9] 4640.0 3116.0 1.0 \n", + "alpha_cafe[10] 4219.0 2878.0 1.0 \n", + "alpha_cafe[11] 5084.0 3117.0 1.0 \n", + "alpha_cafe[12] 4584.0 2660.0 1.0 \n", + "alpha_cafe[13] 4083.0 2590.0 1.0 \n", + "alpha_cafe[14] 5093.0 3223.0 1.0 \n", + "alpha_cafe[15] 4761.0 3236.0 1.0 \n", + "alpha_cafe[16] 5647.0 3117.0 1.0 \n", + "alpha_cafe[17] 5429.0 3417.0 1.0 \n", + "alpha_cafe[18] 5135.0 3168.0 1.0 \n", + "alpha_cafe[19] 5510.0 3590.0 1.0 \n", + "beta_cafe[0] 5345.0 3726.0 1.0 \n", + "beta_cafe[1] 4223.0 2961.0 1.0 \n", + "beta_cafe[2] 3532.0 2484.0 1.0 \n", + "beta_cafe[3] 5704.0 2683.0 1.0 \n", + "beta_cafe[4] 4366.0 3321.0 1.0 \n", + "beta_cafe[5] 5271.0 3484.0 1.0 \n", + "beta_cafe[6] 4525.0 3184.0 1.0 \n", + "beta_cafe[7] 3798.0 3061.0 1.0 \n", + "beta_cafe[8] 5271.0 3084.0 1.0 \n", + "beta_cafe[9] 4326.0 2741.0 1.0 \n", + "beta_cafe[10] 3760.0 2877.0 1.0 \n", + "beta_cafe[11] 4647.0 3288.0 1.0 \n", + "beta_cafe[12] 4727.0 3014.0 1.0 \n", + "beta_cafe[13] 2824.0 2721.0 1.0 \n", + "beta_cafe[14] 5144.0 3521.0 1.0 \n", + "beta_cafe[15] 4317.0 3206.0 1.0 \n", + "beta_cafe[16] 4929.0 3126.0 1.0 \n", + "beta_cafe[17] 5018.0 3167.0 1.0 \n", + "beta_cafe[18] 4382.0 2956.0 1.0 \n", + "beta_cafe[19] 3712.0 3520.0 1.0 \n", + "alpha 4168.0 3264.0 1.0 \n", + "beta 3412.0 3079.0 1.0 \n", + "Rho[0, 0] 4000.0 4000.0 NaN \n", + "Rho[0, 1] 2243.0 1976.0 1.0 \n", + "Rho[1, 0] 2243.0 1976.0 1.0 \n", + "Rho[1, 1] 3969.0 3852.0 1.0 " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(m14_1, hdi_prob=0.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c2348eb9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(m14_1, hdi_prob=0.89, combined=True, figsize=(17, 25))\n", + "plt.grid(axis='y', color='white', alpha=0.3)\n", + "plt.axvline(x=0, ls='--', color='white', alpha=0.4)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "36d4c532", + "metadata": {}, + "source": [ + "### R Code 14.13" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d25cafb0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_density(m14_1.posterior.Rho.sel(Rho_dim_0=0, Rho_dim_1=1), figsize=(17, 6))\n", + "plt.xlabel = 'Correlation'\n", + "plt.ylabel = 'Density'\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a33e0d47", + "metadata": {}, + "source": [ + "### R Code 14.14 & R Code 14.15" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "8891c265", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Posterior alpha: 3.6320048659560236\n", + "Posterior beta: -1.0031288413854578\n", + "Posterior sigma alpha: 0.9549508114681846\n", + "Posterior sigma beta: 0.4542529928057041\n", + "Posterior Rho: -0.7428039489326627\n" + ] + } + ], + "source": [ + "post_alpha = m14_1.posterior.alpha.mean().values\n", + "post_beta = m14_1.posterior.beta.mean().values\n", + "\n", + "post_sigma_alpha = m14_1.posterior.sigma_cafe.sel(sigma_cafe_dim_0=0).mean().values\n", + "post_sigma_beta = m14_1.posterior.sigma_cafe.sel(sigma_cafe_dim_0=1).mean().values\n", + "post_rho = m14_1.posterior.Rho.sel(Rho_dim_0=0, Rho_dim_1=1).mean().values\n", + "\n", + "print('Posterior alpha:', post_alpha)\n", + "print('Posterior beta:', post_beta)\n", + "print('Posterior sigma alpha:', post_sigma_alpha)\n", + "print('Posterior sigma beta:', post_sigma_beta)\n", + "print('Posterior Rho:', post_rho)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "31f3d337", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[0.95495081, 0. ],\n", + " [0. , 0.45425299]])" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "post_matrix_sigma_alpha_beta = np.matrix([[post_sigma_alpha, 0],[0, post_sigma_beta]])\n", + "post_matrix_sigma_alpha_beta" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "83d8daeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[ 1. , -0.74280395],\n", + " [-0.74280395, 1. ]])" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "post_matrix_rho = np.matrix([[1, post_rho],[post_rho, 1]])\n", + "post_matrix_rho" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "63ccc686", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[ 0.91193105, -0.32222038],\n", + " [-0.32222038, 0.20634578]])" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "post_Sigma = post_matrix_sigma_alpha_beta * post_matrix_rho * post_matrix_sigma_alpha_beta\n", + "post_Sigma" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "06608f84", + "metadata": {}, + "outputs": [], + "source": [ + "a1 = [d.loc[(d['afternoon'] == 0) & (d['cafe'] == i)]['wait'].mean() for i in range(1, N_cafe+1)]\n", + "b1 = [d.loc[(d['afternoon'] == 1) & (d['cafe'] == i)]['wait'].mean() for i in range(1, N_cafe+1)]\n", + "\n", + "# Remember that in R Code 14.1 above, the data is build as\n", + "# a = 3.5 # Average morning wait time\n", + "# b = (-1) # Average difference afternoon wait time\n", + "# because this, b value is b - a, like this\n", + "\n", + "b1 = [b1[i] - a1[i] for i in range(len(a1))]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "c9082b96", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract posterior means of partially polled estimates\n", + "a2 = [m14_1.posterior.alpha_cafe.sel(alpha_cafe_dim_0=i).mean().values for i in range(N_cafe)]\n", + "b2 = [m14_1.posterior.beta_cafe.sel(beta_cafe_dim_0=i).mean().values for i in range(N_cafe)]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "dbad47b3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax_nstd = plt.subplots(figsize=(17, 8))\n", + "\n", + "mu = np.array([post_alpha, post_beta])\n", + "dependency_nstd = post_Sigma.tolist()\n", + "\n", + "scale = 5, 5\n", + "\n", + "level = [0.1, 0.3, 0.5, 0.8, 0.99]\n", + "\n", + "x, y = get_correlated_dataset(500, dependency_nstd, mu, scale)\n", + "\n", + "\n", + "ax_nstd.scatter(a1, b1, s=25, color='b')\n", + "ax_nstd.scatter(a2, b2, s=25, facecolor='gray')\n", + "\n", + "ax_nstd.plot([a1, a2], [b1, b2], 'k-', linewidth=0.5)\n", + " \n", + "\n", + "for l in level:\n", + " confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)\n", + "\n", + "# ax_nstd.scatter(mu[0], mu[1], c='red', s=3)\n", + "ax_nstd.set_title('Cafés sampled - Figure 14.5 | Left')\n", + "ax_nstd.set_xlabel('intercepts (a_cafe)')\n", + "ax_nstd.set_ylabel('slopes (b_cafe)')\n", + "\n", + "\n", + "ax_nstd.set_xlim(1.8, 6.2)\n", + "ax_nstd.set_ylim(-1.9, -0.51)\n", + "\n", + "# ax_nstd.legend()\n", + "ax_nstd.legend(['Raw data', 'Partial polling'])\n", + "\n", + "plt.plot(1,2, c='r')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1b951176", + "metadata": {}, + "source": [ + "### R Code 14.16 & R Code 14.17" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "5beb4c8b", + "metadata": {}, + "outputs": [], + "source": [ + "wait_morning_1 = (a1)\n", + "wait_afternoon_1 = [sum(x) for x in zip(a1, b1)]\n", + "wait_morning_2 = (a2)\n", + "wait_afternoon_2 = [sum(x) for x in zip(a2, b2)]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "4e606e4e", + "metadata": {}, + "outputs": [], + "source": [ + "# now shrinkage distribution by simulation \n", + "\n", + "v = np.random.multivariate_normal(mu ,post_Sigma, 1000)\n", + "v[:, 1] = [sum(x) for x in v] # calculation afternoon wait\n", + "Sigma_est2 = np.cov(v[:, 0], v[:, 1])\n", + "\n", + "mu_est2 = [0, 0] # Empty vector mu\n", + "mu_est2[0] = mu[0] \n", + "mu_est2[1] = mu[0] + mu[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "ee7cdb8b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax_nstd = plt.subplots(figsize=(17, 8))\n", + "\n", + "scale = 5, 5\n", + "#level = [0.1, 0.3, 0.5, 0.8, 0.99]\n", + "level = [0.1, 0.69, 1.5, 2.0, 3.0]\n", + "\n", + "dependency_nstd = Sigma_est2.tolist()\n", + "x, y = get_correlated_dataset(500, dependency_nstd, mu_est2, scale)\n", + "\n", + "ax_nstd.scatter(wait_morning_1, wait_afternoon_1, s=25, color='b')\n", + "ax_nstd.scatter(wait_morning_2, wait_afternoon_2, s=25, facecolor='gray')\n", + "\n", + "ax_nstd.plot([wait_morning_1, wait_morning_2],\n", + " [wait_afternoon_1, wait_afternoon_2], \n", + " 'k-', linewidth=0.5)\n", + "\n", + "for l in level:\n", + " confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)\n", + "\n", + "ax_nstd.set_title('Cafés Waiting - Figure 14.5 | Right')\n", + "ax_nstd.set_xlabel('morning wait')\n", + "ax_nstd.set_ylabel('afternoon wait')\n", + "\n", + "ax_nstd.plot([0, 10], [0, 10], ls='--', color='white', alpha=0.5, linewidth=4)\n", + "ax_nstd.text(3.75, 4.1, \"x==y\",color='white', fontsize=16)\n", + "\n", + "ax_nstd.set_xlim(1.7, 6)\n", + "ax_nstd.set_ylim(1, 5)\n", + "\n", + "# ax_nstd.legend()\n", + "ax_nstd.legend(['Raw data', 'Partial polling'])\n", + "\n", + "plt.plot(1,2, c='r')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "640b79fe", + "metadata": {}, + "source": [ + "## 14.2 Advanced varing Slopes" + ] + }, + { + "cell_type": "markdown", + "id": "41019577", + "metadata": {}, + "source": [ + "### R Code 14.18" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "b510dc39", + "metadata": {}, + "outputs": [], + "source": [ + "# Previous chimpanzees models is in chapter 11\n", + "\n", + "df = pd.read_csv('./data/chimpanzees.csv', sep=';')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "a39a4662", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " actor recipient condition block trial prosoc_left chose_prosoc \\\n", + "484 7 2.0 1 3 34 0 0 \n", + "485 7 3.0 1 3 36 1 1 \n", + "486 7 7.0 1 4 38 0 0 \n", + "487 7 2.0 1 4 40 0 0 \n", + "488 7 4.0 1 4 42 1 1 \n", + "489 7 5.0 1 4 44 0 0 \n", + "490 7 6.0 1 4 46 0 0 \n", + "491 7 3.0 1 4 48 0 0 \n", + "492 7 5.0 1 5 50 1 1 \n", + "493 7 4.0 1 5 52 0 0 \n", + "494 7 3.0 1 5 54 0 0 \n", + "495 7 2.0 1 5 56 1 1 \n", + "496 7 6.0 1 5 58 1 1 \n", + "497 7 7.0 1 5 60 1 1 \n", + "498 7 5.0 1 6 62 1 1 \n", + "499 7 4.0 1 6 64 1 1 \n", + "500 7 6.0 1 6 66 1 1 \n", + "501 7 3.0 1 6 68 0 0 \n", + "502 7 7.0 1 6 70 0 0 \n", + "503 7 2.0 1 6 72 0 0 \n", + "\n", + " pulled_left treatment \n", + "484 1 3 \n", + "485 1 4 \n", + "486 1 3 \n", + "487 1 3 \n", + "488 1 4 \n", + "489 1 3 \n", + "490 1 3 \n", + "491 1 3 \n", + "492 1 4 \n", + "493 1 3 \n", + "494 1 3 \n", + "495 1 4 \n", + "496 1 4 \n", + "497 1 4 \n", + "498 1 4 \n", + "499 1 4 \n", + "500 1 4 \n", + "501 1 3 \n", + "502 1 3 \n", + "503 1 3 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.tail(20)" + ] + }, + { + "cell_type": "markdown", + "id": "0abddb19", + "metadata": {}, + "source": [ + "$$ L_i \\sim Binomial(1, p_i) $$\n", + "\n", + "$$ logit(p_i) = \\gamma_{_{TID}[i]} + \\alpha_{_{ACTOR}[I], _{TID}[I]} + \\beta_{_{BLOCK}[I], _{TID}[I]} $$\n", + "\n", + "$$\\gamma_{_{TID}} \\sim Normal(0, 1)$$\n", + "\n", + "$$\\begin{bmatrix}\n", + "\\alpha_{j, 1} \\\\\n", + "\\alpha_{j, 2} \\\\\n", + "\\alpha_{j, 3} \\\\\n", + "\\alpha_{j, 4} \\end{bmatrix} \\sim MVNormal\n", + "\\begin{pmatrix}\n", + "\\begin{bmatrix}\n", + "0 \\\\\n", + "0 \\\\\n", + "0 \\\\\n", + "0 \n", + "\\end{bmatrix} , S_{_{ACTOR}}\n", + "\\end{pmatrix}$$\n", + "\n", + "$$\\begin{bmatrix}\n", + "\\beta_{j, 1} \\\\\n", + "\\beta_{j, 2} \\\\\n", + "\\beta_{j, 3} \\\\\n", + "\\beta_{j, 4} \\end{bmatrix} \\sim MVNormal\n", + "\\begin{pmatrix}\n", + "\\begin{bmatrix}\n", + "0 \\\\\n", + "0 \\\\\n", + "0 \\\\\n", + "0 \n", + "\\end{bmatrix} , S_{_{BLOCK}}\n", + "\\end{pmatrix}$$\n", + "\n", + "Hyper-prior to $S_{_{ACTOR}}$:\n", + "\n", + "$$\\sigma_{_{ACTOR}} \\sim Exponential(1)$$\n", + "\n", + "$$ \\rho_{_{ACTOR}} \\sim dlkjcorr(4) $$\n", + "\n", + "Hyper-prior to $S_{_{BLOCK}}$:\n", + "$$ \\sigma_{_{BLOCK}} \\sim Exponential(1) $$\n", + "\n", + "$$ \\rho_{_{BLOCK}} \\sim dlkjcorr(4) $$\n", + "\n", + "\n", + "This is essentially an interaction model that allow the effect of each **treatment** to vary by **actor** and each **block**. " + ] + }, + { + "cell_type": "markdown", + "id": "09b5c34a", + "metadata": {}, + "source": [ + "## Important features to understanding this model\n", + "\n", + "### 5.1 Overview of data types\n", + "\n", + "#### Array types ([stan docs link](https://mc-stan.org/docs/reference-manual/overview-of-data-types.html#array-types))\n", + "\n", + "```\n", + "array[10] real x;\n", + "array[6, 7] matrix[3, 3] m;\n", + "array[12, 8, 15] complex z;\n", + "```\n", + "\n", + "- declares $x$ to be a **one-dimensional** array of size $10$ containing real values.\n", + "\n", + "- declares $m$ to be a **two-dimensional** array of size $[6 \\times 7]$ containing values that are $[3 \\times 3]$ matrices .\n", + "\n", + "- declares $z$ to be a $[12 \\times 8 \\times 15]$ array of **complex** numbers.\n", + "\n", + "\n", + "\n", + "And read this two parts below\n", + "\n", + "\n", + "### 5.5 [Vector and matrix data types](https://mc-stan.org/docs/reference-manual/vector-and-matrix-data-types.html)\n", + "\n", + "Stan provides three types of container objects: arrays, vectors, and matrices.\n", + "\n", + "\n", + "### 5.6 [Array data type](https://mc-stan.org/docs/reference-manual/array-data-types.html)\n", + "Stan supports arrays of arbitrary dimension.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "df555817", + "metadata": {}, + "source": [ + "### Depreciated Features in Stan to build this example:\n", + "\n", + "- [13.10 Brackets array syntax](https://mc-stan.org/docs/reference-manual/brackets-array-syntax.html)\n", + "\n", + "After Stan 2.26 the declarations below:\n", + "\n", + "```\n", + "int n[5];\n", + "real a[3, 4];\n", + "real z[5, 4, 2];\n", + "vector[7] mu[3];\n", + "matrix[7, 2] mu[15, 12];\n", + "cholesky_factor_cov[5, 6] mu[2, 3, 4];\n", + "```\n", + "\n", + "was replaced to:\n", + "\n", + "```\n", + "array[5] int n;\n", + "array[3, 4] real a;\n", + "array[5, 4, 2] real z;\n", + "array[3] vector[7] mu;\n", + "array[15, 12] matrix[7, 2] mu;\n", + "array[2, 3, 4] cholesky_factor_cov[5, 6] mu;\n", + "```\n", + "\n", + "- [13.12 Nested multiple indexing in assignments](https://mc-stan.org/docs/reference-manual/nested-multiple-indexing-in-assignments.html)\n", + "\n", + "This statements\n", + "\n", + "```\n", + "a[:][1] = b;\n", + "```\n", + "\n", + "was replaced by\n", + "\n", + "```\n", + "a[:, 1] = b;\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "579b83cf", + "metadata": {}, + "source": [ + "#### Explanation:\n", + "\n", + "Why this `alpha ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_actor, sigma_actor));` works in code below?\n", + "\n", + "#### Response:\n", + "\n", + "Let be the code:\n", + "```\n", + "parameters{\n", + " ...\n", + " vector[qty_treatments] gamma;\n", + " ...\n", + "}\n", + "```\n", + "There are $4$ positions in vector `gamma`, then when we atrribute the `normal(0, 1)`, we realize make the broadcast:\n", + "\n", + "```\n", + "gamma ~ normal(0, 1);\n", + "```\n", + "\n", + "is equivalent to:\n", + "\n", + "```\n", + "for (i in 1:qty_treatments){\n", + " gamma[i] ~ normal(0, 1);\n", + "}\n", + "```\n", + "\n", + "\n", + "This is the same reason that code with multi_normal works. Let see this in more details:\n", + "\n", + "```\n", + "parameters{\n", + " ...\n", + " array[qty_chimpanzees] vector[qty_treatments] alpha;\n", + " ...\n", + "}\n", + "```\n", + "\n", + "Now, the `alpha` have two dimensional structure. \n", + "\n", + "*Note: index in Stan start in 1, not in zero like python.*\n", + "\n", + "- The `alpha[1, 1]` is `alpha` to `chimpanzees=1` and to `treatment=1` \n", + "- The `alpha[1, 2]` is `alpha` to `chimpanzees=1` and to `treatment=2` \n", + "\n", + "- The `alpha[2, 3]` is `alpha` to `chimpanzees=2` and to `treatment=3` \n", + "- The `alpha[7, 4]` is `alpha` to `chimpanzees=7` and to `treatment=4` \n", + "\n", + "And\n", + "\n", + "- The `alpha[1, :]` is `alpha` to `chimpanzees=1` and to all `treatments` \n", + "\n", + "\n", + "The type of data to `alpha[1, :]` is a `vector[qty_treatments]`. \n", + "\n", + "This is the same type that `multi_normal` expected to attribuite the results.\n", + "\n", + "Then, *the code works*!" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "4c257ab6", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_7gubsam_/model_gvs6dzu5.stan', line 34, column 8: Parameter\n", + " sigma_block is given a exponential distribution, which has strictly\n", + " positive support, but sigma_block was not constrained to be strictly\n", + " positive.\n", + "Warning in '/tmp/httpstan_7gubsam_/model_gvs6dzu5.stan', line 33, column 8: It\n", + " is suggested to reparameterize your model to replace lkj_corr with\n", + " lkj_corr_cholesky, the Cholesky factor variant. lkj_corr tends to run\n", + " slower, consume more memory, and has higher risk of numerical errors.\n", + "Warning in '/tmp/httpstan_7gubsam_/model_gvs6dzu5.stan', line 30, column 8: It\n", + " is suggested to reparameterize your model to replace lkj_corr with\n", + " lkj_corr_cholesky, the Cholesky factor variant. lkj_corr tends to run\n", + " slower, consume more memory, and has higher risk of numerical errors.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (2/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (3/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (4/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (103/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (202/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", + 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(in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[3] is -0.836343, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.55047, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -1.10486, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -0.799633, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -0.511115, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.98949, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -0.263319, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.17693, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -0.423965, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Gradient evaluation took 0.000182 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.82 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 33, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0366449, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.146712, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00647221, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.000979266, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.015751, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00463539, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00289807, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0181313, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.106723, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0112359, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00160679, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000408684, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000870961, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0168536, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0569443, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0145629, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00278551, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0888362, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.155126, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -1.13337, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0149997, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0145849, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[2] is -0.0226958, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00772642, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0115388, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00126058, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00520919, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0112416, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0194403, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00342272, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.004022, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00646844, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0189904, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00377706, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00242176, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0100579, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00194329, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000888536, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000370509, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00798079, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00244699, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0147575, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.033556, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000547676, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0442933, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00281422, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00403148, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00126333, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00184441, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0107229, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00921391, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0157983, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00657394, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00134863, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0346761, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0225761, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.012948, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00774026, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0170965, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00711951, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0168509, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0274324, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00490465, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0155328, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0132921, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00798708, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00591465, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00054187, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0158337, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[1] is -0.00202951, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0007732, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000435221, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00252297, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0177455, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -1.11869e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00551009, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00452048, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00334556, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0422152, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00407174, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000308922, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00360359, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0104347, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0157861, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0077268, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0109769, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0211663, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00493189, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0130825, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000556886, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00933586, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0141976, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00807774, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0156131, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00350854, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0205758, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00920416, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00258562, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00215392, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00519846, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00133309, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00421308, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00475836, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00860609, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00548099, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0015906, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -0.108694, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Gradient evaluation took 0.00023 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 2.3 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000632492, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.155356, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.771514, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00355869, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0153614, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000951821, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0323886, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.793147, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000137973, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0180309, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.507577, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00287491, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0727834, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.081052, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.000312274, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[1] is -0.0125249, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000297799, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0249596, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00403257, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0230407, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00556771, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.000693727, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00528741, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.000881297, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00386049, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.000723757, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0209593, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0113909, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0043171, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -9.72789e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00282701, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00730043, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0109644, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00102372, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00161748, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00666104, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00265984, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0142478, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00266563, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0224138, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0121063, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0046766, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0102866, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0198533, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00600398, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00554534, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0194764, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00144965, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0178485, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00530483, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00724459, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00882804, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0201841, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00958358, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00313933, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0289839, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00404601, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00787195, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0177702, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0208094, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00214529, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00892927, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[4] is -0.000952213, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0128702, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0202642, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00549703, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00895665, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00656212, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00263731, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0103709, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0243442, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00216356, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00400971, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0312991, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000159945, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00180844, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0267798, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00923498, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00937689, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0236791, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00198656, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0087615, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0087284, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00431308, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00422536, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00261168, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00268989, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00423642, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0113471, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00467722, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0276371, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00858699, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00443778, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0165731, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00407638, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00859822, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00858098, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00261644, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00444827, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0111338, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0119443, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0593628, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0118013, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0447153, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0115692, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00663361, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0141586, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00827067, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0326464, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[2] is -0.0272624, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00143225, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0284861, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00331257, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00705623, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0184121, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0259572, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0272477, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0285339, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00972159, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0022403, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0209093, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000122472, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0121217, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0197065, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0219943, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0293275, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0150576, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0142115, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.015832, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00460577, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0155658, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0061572, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00141338, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00343741, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00328962, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00926257, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.030271, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0212955, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0250923, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0181874, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0264495, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0233609, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00471031, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0116937, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00223185, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00776707, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0164459, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0119774, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0391027, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00680203, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00504902, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00185998, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00576755, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00230935, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[3] is -1.11131, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -0.899857, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.87965, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.50005, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -0.26164, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.76976, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.02894, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -0.544747, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -1.01782, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[3] is -1.47611, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -1.02521, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.21863, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.39897, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -1.12785, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -1.05944, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[2] is -1.36249, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable[1] is -0.501437, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " Gradient evaluation took 0.000213 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 2.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.028788, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000544923, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0173102, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000433321, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00917991, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.429789, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0136465, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.113109, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00017951, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00486796, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000925022, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00249979, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0105798, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.142371, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0100348, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00907112, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0472241, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00516773, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00591777, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0235635, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0114295, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000288455, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00365208, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00158864, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00117371, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0379759, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -5.1762, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0402867, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00336356, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00706909, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -5.61349e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00255385, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000172838, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00231177, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00609566, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.000497923, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -8.63806e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -8.66111e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00254711, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00177824, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.000871852, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000234 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 2.34 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lkj_corr_lpdf: Correlation matrix is not positive definite. (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 30, column 8 to column 32)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0166306, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.130449, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.153327, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000433998, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.357349, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00436841, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00640274, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00262004, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -1.76229e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.126555, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0322601, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.592796, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0681502, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.162254, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0145254, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00691277, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00100826, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000418371, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -4.78059e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -3.53036e-05, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00353987, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0400712, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.133406, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0189306, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0309708, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0107513, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0120203, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00939529, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00426374, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00901841, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0146123, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000222185, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0314618, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00909195, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00709146, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0273224, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000296462, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00425144, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0268019, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.000591133, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0164262, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[2] is -0.00708473, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00742884, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00368206, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00109908, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00648512, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00232145, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0179825, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0362138, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00173214, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0160446, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00621386, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00296634, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00698931, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0197498, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00998807, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00819262, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00607721, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0335091, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00351586, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0115918, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0109311, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00939989, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00404926, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00936877, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.088, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0239764, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.012508, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0237318, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0368033, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0114239, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0470209, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0287687, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0122463, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00505811, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0387517, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0411238, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0264005, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0835291, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0389468, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0418539, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0363788, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0232447, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0238745, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.016561, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0134429, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0561472, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0419199, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[4] is -0.0392031, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0279852, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0648838, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00567123, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0328335, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0399827, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00610161, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0115379, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0208075, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0168572, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0050524, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0401424, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0260649, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.029883, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0187351, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0201078, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0250274, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0143004, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0110777, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0406776, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0153168, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0233865, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00329551, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00148358, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0267655, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00671373, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0306341, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0186594, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0266821, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00733205, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0251851, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.000426485, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0104388, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0353686, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0122511, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00996395, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0274479, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00264632, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0205522, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00334903, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0325159, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0224827, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.020045, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00498288, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00323971, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00058303, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0286863, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Exception: exponential_lpdf: Random variable[3] is -0.00279103, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.0129119, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00988178, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[1] is -0.00365918, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0102661, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00651753, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0105186, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0085105, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00553613, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0455828, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00672674, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00604206, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.0107874, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[4] is -0.00480589, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0254022, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0290475, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00416054, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.00100446, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0060453, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0194426, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[2] is -0.0118463, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00569443, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00257757, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.00478917, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0180679, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable[3] is -0.0106608, but must be nonnegative! (in '/tmp/httpstan_ky0ftwtg/model_gvs6dzu5.stan', line 34, column 8 to column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters{\n", + " vector[qty_treatments] gamma;\n", + " array[qty_chimpanzees] vector[qty_treatments] alpha;\n", + " array[qty_blocks] vector[qty_treatments] beta;\n", + " \n", + " corr_matrix[qty_treatments] Rho_actor;\n", + " vector[qty_treatments] sigma_actor;\n", + " \n", + " corr_matrix[qty_treatments] Rho_block;\n", + " vector[qty_treatments] sigma_block;\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Fixed Priors\n", + " Rho_actor ~ lkj_corr(4);\n", + " sigma_actor ~ exponential(1);\n", + " \n", + " Rho_block ~ lkj_corr(4);\n", + " sigma_block ~ exponential(1);\n", + " \n", + " \n", + " // Adaptatives Priors\n", + " gamma ~ normal(0, 1);\n", + " \n", + " alpha ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_actor, sigma_actor));\n", + " beta ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_block, sigma_block));\n", + " \n", + " \n", + " // Linear model\n", + " for (i in 1:N){\n", + " p[i] = gamma[ treatment[i] ] + alpha[ actor[i], treatment[i] ] + beta[ block[i], treatment[i] ];\n", + " p[i] = inv_logit(p[i]); // Link function\n", + " }\n", + " \n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + " \n", + "\"\"\"\n", + "\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "851f7fae", + "metadata": {}, + "outputs": [], + "source": [ + "m_14_2 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "08605566", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail r_hat\n", + "gamma[0] 0.191 0.528 -0.741 1.254 0.034 0.024 229.0 444.0 1.04\n", + "gamma[1] 0.669 0.409 -0.141 1.366 0.021 0.015 353.0 800.0 1.02\n", + "gamma[2] 0.027 0.588 -1.045 1.192 0.039 0.028 231.0 242.0 1.01\n", + "gamma[3] 0.618 0.580 -0.546 1.639 0.034 0.026 288.0 282.0 1.01\n", + "alpha[0, 0] -0.860 0.660 -2.257 0.235 0.040 0.030 275.0 302.0 1.03\n", + "alpha[0, 1] -0.540 0.481 -1.472 0.334 0.020 0.015 574.0 758.0 1.01\n", + "alpha[0, 2] -0.964 0.716 -2.409 0.406 0.040 0.030 329.0 362.0 1.01\n", + "alpha[0, 3] -0.537 0.683 -1.698 0.813 0.040 0.034 308.0 435.0 1.01\n", + "alpha[1, 0] 3.124 1.366 1.057 5.688 0.080 0.062 346.0 170.0 1.02\n", + "alpha[1, 1] 2.046 1.087 0.447 4.116 0.046 0.034 545.0 524.0 1.01\n", + "alpha[1, 2] 4.042 1.512 1.278 6.895 0.077 0.055 370.0 346.0 1.01\n", + "alpha[1, 3] 3.206 1.562 0.730 5.942 0.081 0.058 335.0 197.0 1.00\n", + "alpha[2, 0] -1.119 0.659 -2.436 -0.053 0.038 0.027 305.0 576.0 1.01\n", + "alpha[2, 1] -0.290 0.531 -1.222 0.710 0.029 0.021 310.0 280.0 1.01\n", + "alpha[2, 2] -1.562 0.764 -2.987 -0.035 0.039 0.027 386.0 651.0 1.01\n", + "alpha[2, 3] -1.201 0.684 -2.455 0.016 0.036 0.025 363.0 906.0 1.01\n", + "alpha[3, 0] -0.917 0.641 -2.132 0.234 0.028 0.020 533.0 599.0 1.02\n", + "alpha[3, 1] -0.585 0.477 -1.479 0.239 0.023 0.017 423.0 655.0 1.01\n", + "alpha[3, 2] -1.927 0.809 -3.411 -0.390 0.046 0.032 304.0 366.0 1.00\n", + "alpha[3, 3] -0.904 0.691 -2.166 0.379 0.042 0.030 264.0 479.0 1.01\n", + "alpha[4, 0] -0.863 0.656 -2.149 0.370 0.040 0.028 280.0 347.0 1.02\n", + "alpha[4, 1] -0.403 0.471 -1.318 0.465 0.018 0.014 661.0 918.0 1.01\n", + "alpha[4, 2] -0.991 0.760 -2.466 0.387 0.048 0.034 255.0 402.0 1.01\n", + "alpha[4, 3] -0.646 0.684 -1.940 0.572 0.040 0.028 298.0 595.0 1.01\n", + "alpha[5, 0] 0.882 0.644 -0.373 2.055 0.031 0.022 407.0 675.0 1.02\n", + "alpha[5, 1] -0.097 0.494 -0.961 0.854 0.025 0.018 383.0 784.0 1.01\n", + "alpha[5, 2] 0.190 0.730 -1.287 1.439 0.049 0.035 229.0 198.0 1.02\n", + "alpha[5, 3] -0.107 0.698 -1.398 1.155 0.045 0.032 242.0 154.0 1.02\n", + "alpha[6, 0] 1.095 0.690 -0.242 2.356 0.040 0.029 287.0 431.0 1.01\n", + "alpha[6, 1] 0.914 0.617 -0.204 2.085 0.057 0.045 141.0 87.0 1.04\n", + "alpha[6, 2] 2.632 0.937 1.073 4.521 0.046 0.032 424.0 654.0 1.01\n", + "alpha[6, 3] 2.684 1.296 0.514 5.052 0.078 0.058 288.0 343.0 1.01\n", + "beta[0, 0] -0.099 0.334 -0.817 0.501 0.013 0.009 581.0 841.0 1.01\n", + "beta[0, 1] -0.054 0.327 -0.811 0.536 0.012 0.009 750.0 906.0 1.00\n", + "beta[0, 2] -0.065 0.287 -0.618 0.473 0.011 0.008 611.0 811.0 1.02\n", + "beta[0, 3] -0.441 0.509 -1.501 0.289 0.029 0.021 346.0 300.0 1.01\n", + "beta[1, 0] 0.075 0.349 -0.595 0.763 0.018 0.013 413.0 365.0 1.02\n", + "beta[1, 1] -0.148 0.358 -0.854 0.500 0.018 0.013 474.0 547.0 1.01\n", + "beta[1, 2] 0.085 0.302 -0.478 0.664 0.012 0.009 451.0 745.0 1.01\n", + "beta[1, 3] 0.182 0.375 -0.488 0.855 0.018 0.014 489.0 748.0 1.01\n", + "beta[2, 0] 0.356 0.467 -0.228 1.361 0.032 0.023 275.0 281.0 1.01\n", + "beta[2, 1] -0.241 0.385 -1.043 0.359 0.024 0.017 317.0 457.0 1.01\n", + "beta[2, 2] 0.011 0.312 -0.559 0.599 0.012 0.009 539.0 584.0 1.01\n", + "beta[2, 3] 0.166 0.401 -0.502 1.010 0.020 0.014 406.0 658.0 1.01\n", + "beta[3, 0] 0.147 0.354 -0.453 0.912 0.020 0.014 329.0 459.0 1.01\n", + "beta[3, 1] 0.107 0.355 -0.583 0.837 0.017 0.012 469.0 550.0 1.02\n", + "beta[3, 2] -0.113 0.295 -0.758 0.352 0.011 0.008 700.0 798.0 1.01\n", + "beta[3, 3] -0.002 0.399 -0.719 0.783 0.018 0.017 589.0 375.0 1.01\n", + "beta[4, 0] -0.214 0.358 -0.922 0.409 0.020 0.014 354.0 508.0 1.01\n", + "beta[4, 1] 0.020 0.336 -0.566 0.785 0.015 0.011 425.0 705.0 1.01\n", + "beta[4, 2] 0.105 0.288 -0.402 0.719 0.010 0.008 714.0 1075.0 1.02\n", + "beta[4, 3] -0.012 0.351 -0.662 0.733 0.016 0.013 524.0 212.0 1.01\n", + "beta[5, 0] -0.112 0.342 -0.861 0.499 0.018 0.013 382.0 415.0 1.01\n", + "beta[5, 1] 0.421 0.487 -0.220 1.359 0.035 0.025 236.0 835.0 1.01\n", + "beta[5, 2] -0.052 0.306 -0.671 0.530 0.014 0.010 487.0 825.0 1.01\n", + "beta[5, 3] 0.343 0.474 -0.366 1.294 0.023 0.018 493.0 686.0 1.01\n", + "Rho_actor[0, 0] 1.000 0.000 1.000 1.000 0.000 0.000 4000.0 4000.0 NaN\n", + "Rho_actor[0, 1] 0.327 0.247 -0.085 0.796 0.011 0.008 552.0 854.0 1.01\n", + "Rho_actor[0, 2] 0.375 0.234 -0.043 0.785 0.011 0.008 463.0 411.0 1.01\n", + "Rho_actor[0, 3] 0.321 0.237 -0.106 0.763 0.010 0.008 535.0 794.0 1.01\n", + "Rho_actor[1, 0] 0.327 0.247 -0.085 0.796 0.011 0.008 552.0 854.0 1.01\n", + "Rho_actor[1, 1] 1.000 0.000 1.000 1.000 0.000 0.000 1892.0 1217.0 1.00\n", + "Rho_actor[1, 2] 0.350 0.245 -0.106 0.770 0.014 0.010 319.0 674.0 1.02\n", + "Rho_actor[1, 3] 0.342 0.256 -0.108 0.804 0.015 0.012 302.0 281.0 1.01\n", + "Rho_actor[2, 0] 0.375 0.234 -0.043 0.785 0.011 0.008 463.0 411.0 1.01\n", + "Rho_actor[2, 1] 0.350 0.245 -0.106 0.770 0.014 0.010 319.0 674.0 1.02\n", + "Rho_actor[2, 2] 1.000 0.000 1.000 1.000 0.000 0.000 3280.0 2445.0 1.00\n", + "Rho_actor[2, 3] 0.423 0.232 0.000 0.844 0.009 0.007 596.0 792.0 1.01\n", + "Rho_actor[3, 0] 0.321 0.237 -0.106 0.763 0.010 0.008 535.0 794.0 1.01\n", + "Rho_actor[3, 1] 0.342 0.256 -0.108 0.804 0.015 0.012 302.0 281.0 1.01\n", + "Rho_actor[3, 2] 0.423 0.232 0.000 0.844 0.009 0.007 596.0 792.0 1.01\n", + "Rho_actor[3, 3] 1.000 0.000 1.000 1.000 0.000 0.000 1644.0 3040.0 1.00\n", + "sigma_actor[0] 1.408 0.533 0.621 2.358 0.030 0.021 288.0 255.0 1.03\n", + "sigma_actor[1] 0.934 0.413 0.310 1.690 0.017 0.012 565.0 965.0 1.01\n", + "sigma_actor[2] 1.881 0.589 0.957 2.952 0.028 0.019 481.0 591.0 1.01\n", + "sigma_actor[3] 1.580 0.624 0.643 2.794 0.035 0.025 330.0 336.0 1.01\n", + "Rho_block[0, 0] 1.000 0.000 1.000 1.000 0.000 0.000 4000.0 4000.0 NaN\n", + "Rho_block[0, 1] -0.040 0.281 -0.545 0.486 0.012 0.008 598.0 1148.0 1.00\n", + "Rho_block[0, 2] -0.040 0.310 -0.603 0.530 0.014 0.011 510.0 152.0 1.00\n", + "Rho_block[0, 3] 0.021 0.284 -0.500 0.547 0.011 0.008 743.0 1367.0 1.01\n", + "Rho_block[1, 0] -0.040 0.281 -0.545 0.486 0.012 0.008 598.0 1148.0 1.00\n", + "Rho_block[1, 1] 1.000 0.000 1.000 1.000 0.000 0.000 2940.0 2255.0 1.00\n", + "Rho_block[1, 2] -0.044 0.302 -0.541 0.522 0.017 0.012 309.0 402.0 1.01\n", + "Rho_block[1, 3] 0.021 0.298 -0.510 0.525 0.015 0.011 415.0 966.0 1.01\n", + "Rho_block[2, 0] -0.040 0.310 -0.603 0.530 0.014 0.011 510.0 152.0 1.00\n", + "Rho_block[2, 1] -0.044 0.302 -0.541 0.522 0.017 0.012 309.0 402.0 1.01\n", + "Rho_block[2, 2] 1.000 0.000 1.000 1.000 0.000 0.000 1818.0 3308.0 1.00\n", + "Rho_block[2, 3] 0.023 0.296 -0.547 0.542 0.014 0.010 438.0 680.0 1.02\n", + "Rho_block[3, 0] 0.021 0.284 -0.500 0.547 0.011 0.008 743.0 1367.0 1.01\n", + "Rho_block[3, 1] 0.021 0.298 -0.510 0.525 0.015 0.011 415.0 966.0 1.01\n", + "Rho_block[3, 2] 0.023 0.296 -0.547 0.542 0.014 0.010 438.0 680.0 1.02\n", + "Rho_block[3, 3] 1.000 0.000 1.000 1.000 0.000 0.000 2161.0 3213.0 1.00\n", + "sigma_block[0] 0.429 0.336 0.011 1.026 0.026 0.019 156.0 237.0 1.03\n", + "sigma_block[1] 0.420 0.331 0.006 0.980 0.023 0.017 154.0 158.0 1.02\n", + "sigma_block[2] 0.301 0.242 0.004 0.725 0.014 0.010 202.0 388.0 1.03\n", + "sigma_block[3] 0.476 0.369 0.009 1.124 0.026 0.018 169.0 138.0 1.02\n" + ] + } + ], + "source": [ + "print(az.summary(m_14_2).to_string())" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "0b2f485d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Like trankplot in this book\n", + "\n", + "az.rcParams['plot.max_subplots'] = 100\n", + "\n", + "az.plot_ess(\n", + " m_14_2, kind=\"local\", drawstyle=\"steps-mid\", color=\"k\",\n", + " linestyle=\"-\", marker=None\n", + ")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a3fea7d9", + "metadata": {}, + "source": [ + "### R Code 14.19" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "cb177621", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[1. , 0.3],\n", + " [0.3, 1. ]])" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Undertanding Cholesky\n", + "rho_test = 0.3\n", + "R_test = np.matrix([[1, rho_test], [rho_test, 1]])\n", + "R_test" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "ba0de7d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[1. , 0. ],\n", + " [0.3 , 0.9539392]])" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Cholesky decomposition\n", + "cholesky_matrix_L = np.linalg.cholesky(R_test)\n", + "cholesky_matrix_L" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "6fd06a3a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matrix([[1. , 0.3],\n", + " [0.3, 1. ]])" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Testing that R=LL^t\n", + "cholesky_matrix_L * np.transpose(cholesky_matrix_L)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "febc1024", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.15506489],\n", + " [-0.15506489, 1. ]])" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample_uncorrelated_z_score = np.random.normal(0, 1, [2,200]) # ?\n", + "np.corrcoef(sample_uncorrelated_z_score)" + ] + }, + { + "cell_type": "markdown", + "id": "3a471a48", + "metadata": {}, + "source": [ + "#### How this model is works?\n", + "\n", + "To understanding the chunck of code below.\n", + "\n", + "```\n", + " transformed parameters{\n", + " matrix[qty_treatments, qty_chimpanzees] alpha;\n", + " matrix[qty_treatments, qty_blocks] beta;\n", + " \n", + " alpha = (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)';\n", + " beta = (diag_pre_multiply(sigma_block, L_Rho_block) * z_block)'; \n", + " }\n", + "```\n", + "\n", + "* PS: $qty\\_actor$ *is equal to* $qty\\_chimpanzees$ *for this example!* \n", + "\n", + "**Firts, thinking about matrices dimensions:**\n", + "\n", + "To z's ($z_{anything}$)\n", + "- `z_actor`: $[qty\\_treatment, qty\\_actor]$\n", + "- `z_block`: $[qty\\_treatment, qty\\_block]$\n", + "\n", + "\n", + "To sigmas ($\\sigma$):\n", + "\n", + "- `sigma_actor`: $\\sigma_{_{ACTOR}}[qty\\_treatments]$\n", + "- `sigma_block`: $\\sigma_{_{BLOCK}}[qty\\_treatments]$\n", + "\n", + "\n", + "To Rho's ($\\rho$):\n", + "\n", + "- `L_Rho_actor`: $\\rho_{_{ACTOR}}[qty\\_treatments \\times qty\\_treatments]$\n", + "- `L_Rho_block`: $\\rho_{_{BLOCK}}[qty\\_treatments \\times qty\\_treatments]$\n", + "\n", + "**Now, understanding the stan functions:**\n", + "\n", + "The Stan function `diag_pre_multiply` [works](https://mc-stan.org/docs/functions-reference/dot-products-and-specialized-products.html):\n", + "\n", + "- `matrix diag_pre_multiply(vector v, matrix m)`\n", + "\n", + " Return the product of the diagonal matrix formed from the vector `v` and the matrix `m`, i.e., `diag_matrix(v) * m`.\n", + " \n", + "\n", + "The Stan function `diag_matrix(v)` [works](https://mc-stan.org/docs/functions-reference/diagonal-matrix-functions.html):\n", + "\n", + "- `matrix diag_matrix(vector x)`\n", + "\n", + " The diagonal matrix with diagonal x.\n", + " \n", + "For example: $x = \\begin{bmatrix}\n", + "0.25 \\\\\n", + "0.30 \\\\\n", + "0.25 \\\\\n", + "0.20\n", + "\\end{bmatrix}$ then `diag_matrix(x)` is equal $\\begin{bmatrix}\n", + "0.25 & 0 & 0 & 0 \\\\\n", + "0 & 0.30 & 0 & 0 \\\\\n", + "0 & 0 & 0.25 & 0 \\\\\n", + "0 & 0 & 0 & 0.20\n", + "\\end{bmatrix}$, this is a $[4 \\times 4]$ matrix.\n", + " \n", + "**Finally, understanding dimensions for alpha and beta:**\n", + "\n", + "Then, this `diag_pre_multiply(sigma_actor, L_Rho_actor)` is:\n", + "\n", + "- `diag_matrix(sigma_actor)` $\\times$ `L_Rho_actor`\n", + " $[qty\\_treatments \\times qty\\_treatments] \\times [qty\\_treatments \\times qty\\_treatments] = [qty\\_treatments \\times qty\\_treatments]$\n", + " \n", + "The complete calculations, have this dimension:\n", + "\n", + "- `(diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)`\n", + "\n", + " $[qty\\_treatments \\times qty\\_treatments] \\times [qty\\_treatments \\times qty\\_chimpanzees] = \n", + "[qty\\_treatments \\times qty\\_chimpanzees]$ \n", + " \n", + "And to finish, transpose the matrix ( ' ):\n", + "- `(diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)'` \n", + "\n", + " $[qty\\_chimpanzees \\times qty\\_treatments]$\n", + " \n", + " \n", + "Each of the index in matrix above, is a prior to alpha (or beta) in the model. Make the model with this structure is not need using the `multi_normal()`, like the previous model `m_14_2`.\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "3fe2ab8e", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (1/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (2/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (3/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 0% (4/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (103/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 3% (202/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (301/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + 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expectations accordingly!\n", + " Gradient evaluation took 0.000144 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.44 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000145 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.45 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000112 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.12 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " int qty_chimpanzees;\n", + " int qty_blocks;\n", + " int qty_treatments;\n", + " \n", + " array[N] int pulled_left;\n", + " array[N] int actor;\n", + " array[N] int block;\n", + " array[N] int treatment;\n", + " }\n", + " \n", + " parameters{\n", + " vector[qty_treatments] gamma;\n", + " \n", + " matrix[qty_treatments, qty_chimpanzees] z_actor;\n", + " cholesky_factor_corr[qty_treatments] L_Rho_actor;\n", + " vector[qty_treatments] sigma_actor;\n", + " \n", + " matrix[qty_treatments, qty_blocks] z_block;\n", + " cholesky_factor_corr[qty_treatments] L_Rho_block;\n", + " vector[qty_treatments] sigma_block;\n", + " }\n", + " \n", + " transformed parameters{\n", + " matrix[qty_chimpanzees, qty_treatments] alpha;\n", + " matrix[qty_blocks, qty_treatments] beta;\n", + " \n", + " alpha = (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)'; // matrix[qty_actors, qty_treatments]\n", + " beta = (diag_pre_multiply(sigma_block, L_Rho_block) * z_block)'; // Above explanations about this part\n", + " }\n", + " \n", + " model {\n", + " vector[N] p;\n", + " \n", + " // Adaptative Priors - Non-centered\n", + " gamma ~ normal(0, 1);\n", + " \n", + " to_vector(z_actor) ~ normal(0, 1);\n", + " L_Rho_actor ~ lkj_corr_cholesky(2);\n", + " sigma_actor ~ exponential(1);\n", + " \n", + " to_vector(z_block) ~ normal(0, 1);\n", + " L_Rho_block ~ lkj_corr_cholesky(2);\n", + " sigma_block ~ exponential(1);\n", + " \n", + " // Linear model\n", + " for (i in 1:N){\n", + " p[i] = gamma[ treatment[i] ] + alpha[ actor[i], treatment[i] ] + beta[ block[i], treatment[i] ];\n", + " p[i] = inv_logit(p[i]); // Link function\n", + " }\n", + " \n", + " \n", + " // Likelihood\n", + " pulled_left ~ binomial(1, p);\n", + " }\n", + " \n", + "\"\"\"\n", + "\n", + "\n", + "dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')\n", + "dat_list['N'] = len(df)\n", + "dat_list['qty_chimpanzees'] = len(df['actor'].unique())\n", + "dat_list['qty_blocks'] = len(df['block'].unique())\n", + "dat_list['qty_treatments'] = len(df['treatment'].unique())\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "1ea09a68", + "metadata": {}, + "outputs": [], + "source": [ + " m_14_3 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "9710d8dd", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n", + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars\n", + " (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk ess_tail r_hat\n", + "gamma[0] 0.214 0.484 -0.542 1.008 0.010 0.007 2269.0 2705.0 1.0\n", + "gamma[1] 0.647 0.407 0.032 1.306 0.008 0.006 2707.0 2436.0 1.0\n", + "gamma[2] -0.009 0.585 -0.864 0.968 0.010 0.008 3341.0 2985.0 1.0\n", + "gamma[3] 0.671 0.548 -0.172 1.536 0.009 0.007 3377.0 2959.0 1.0\n", + "z_actor[0, 0] -0.658 0.470 -1.387 0.108 0.009 0.006 2676.0 2969.0 1.0\n", + "z_actor[0, 1] 2.352 0.703 1.268 3.497 0.012 0.008 3693.0 3535.0 1.0\n", + "z_actor[0, 2] -0.860 0.497 -1.641 -0.076 0.010 0.007 2512.0 2995.0 1.0\n", + "z_actor[0, 3] -0.736 0.493 -1.505 0.048 0.010 0.007 2441.0 2824.0 1.0\n", + "z_actor[0, 4] -0.643 0.468 -1.395 0.070 0.009 0.006 2762.0 3063.0 1.0\n", + "z_actor[0, 5] 0.594 0.481 -0.177 1.337 0.009 0.006 2830.0 3060.0 1.0\n", + "z_actor[0, 6] 0.959 0.565 0.054 1.810 0.011 0.008 2879.0 2906.0 1.0\n", + "z_actor[1, 0] -0.375 0.667 -1.421 0.704 0.010 0.009 4046.0 3209.0 1.0\n", + "z_actor[1, 1] 1.410 0.923 -0.070 2.856 0.015 0.011 3558.0 3111.0 1.0\n", + "z_actor[1, 2] -0.040 0.679 -1.112 1.050 0.012 0.009 3032.0 2925.0 1.0\n", + "z_actor[1, 3] -0.438 0.688 -1.586 0.616 0.012 0.009 3536.0 3026.0 1.0\n", + "z_actor[1, 4] -0.200 0.653 -1.248 0.814 0.011 0.009 3465.0 3298.0 1.0\n", + "z_actor[1, 5] -0.360 0.664 -1.430 0.663 0.010 0.009 4207.0 3114.0 1.0\n", + "z_actor[1, 6] 0.774 0.799 -0.428 2.097 0.014 0.010 3292.0 3337.0 1.0\n", + "z_actor[2, 0] -0.095 0.658 -1.202 0.861 0.010 0.011 4251.0 3045.0 1.0\n", + "z_actor[2, 1] 0.854 0.954 -0.696 2.299 0.014 0.011 4868.0 3715.0 1.0\n", + "z_actor[2, 2] -0.512 0.685 -1.579 0.576 0.011 0.009 3935.0 2990.0 1.0\n", + "z_actor[2, 3] -0.650 0.685 -1.766 0.410 0.011 0.008 3896.0 3334.0 1.0\n", + "z_actor[2, 4] -0.172 0.652 -1.186 0.869 0.010 0.009 4222.0 2968.0 1.0\n", + "z_actor[2, 5] -0.102 0.669 -1.088 0.987 0.011 0.009 3832.0 3130.0 1.0\n", + "z_actor[2, 6] 0.988 0.853 -0.343 2.307 0.014 0.010 3600.0 3031.0 1.0\n", + "z_actor[3, 0] 0.071 0.750 -1.127 1.247 0.010 0.011 5689.0 2879.0 1.0\n", + "z_actor[3, 1] 0.466 0.929 -1.026 1.906 0.011 0.013 7144.0 3451.0 1.0\n", + "z_actor[3, 2] -0.412 0.766 -1.645 0.780 0.011 0.010 5330.0 3191.0 1.0\n", + "z_actor[3, 3] 0.015 0.768 -1.291 1.159 0.010 0.013 5528.0 2981.0 1.0\n", + "z_actor[3, 4] -0.088 0.715 -1.262 0.998 0.010 0.011 5285.0 3284.0 1.0\n", + "z_actor[3, 5] -0.322 0.753 -1.551 0.835 0.010 0.010 5436.0 3206.0 1.0\n", + "z_actor[3, 6] 0.831 0.928 -0.635 2.293 0.011 0.011 6855.0 2990.0 1.0\n", + "L_Rho_actor[0, 0] 1.000 0.000 1.000 1.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[0, 1] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[0, 2] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[0, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[1, 0] 0.431 0.276 0.007 0.855 0.005 0.004 2884.0 3014.0 1.0\n", + "L_Rho_actor[1, 1] 0.848 0.141 0.650 1.000 0.003 0.002 2922.0 3014.0 1.0\n", + "L_Rho_actor[1, 2] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[1, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[2, 0] 0.532 0.248 0.164 0.903 0.004 0.003 3145.0 3045.0 1.0\n", + "L_Rho_actor[2, 1] 0.282 0.307 -0.181 0.784 0.006 0.005 2295.0 3168.0 1.0\n", + "L_Rho_actor[2, 2] 0.670 0.179 0.398 0.961 0.003 0.002 2869.0 3066.0 1.0\n", + "L_Rho_actor[2, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_actor[3, 0] 0.452 0.262 0.050 0.849 0.005 0.004 2657.0 3037.0 1.0\n", + "L_Rho_actor[3, 1] 0.274 0.315 -0.185 0.806 0.006 0.004 2731.0 3051.0 1.0\n", + "L_Rho_actor[3, 2] 0.293 0.317 -0.204 0.790 0.006 0.004 2498.0 2774.0 1.0\n", + "L_Rho_actor[3, 3] 0.579 0.180 0.291 0.865 0.003 0.002 2690.0 3154.0 1.0\n", + "sigma_actor[0] 1.383 0.489 0.664 2.025 0.010 0.007 2353.0 3000.0 1.0\n", + "sigma_actor[1] 0.901 0.404 0.296 1.434 0.007 0.005 2969.0 2671.0 1.0\n", + "sigma_actor[2] 1.845 0.592 0.931 2.608 0.011 0.009 3250.0 2401.0 1.0\n", + "sigma_actor[3] 1.568 0.582 0.669 2.312 0.011 0.008 3144.0 2650.0 1.0\n", + "z_block[0, 0] -0.279 0.844 -1.581 1.139 0.012 0.012 5021.0 2942.0 1.0\n", + "z_block[0, 1] 0.115 0.834 -1.279 1.396 0.011 0.013 5926.0 3115.0 1.0\n", + "z_block[0, 2] 0.664 0.865 -0.682 2.039 0.012 0.010 4964.0 3108.0 1.0\n", + "z_block[0, 3] 0.268 0.840 -1.125 1.535 0.011 0.014 5965.0 3090.0 1.0\n", + "z_block[0, 4] -0.429 0.844 -1.837 0.803 0.012 0.012 5334.0 3088.0 1.0\n", + "z_block[0, 5] -0.256 0.885 -1.622 1.198 0.012 0.013 5104.0 3190.0 1.0\n", + "z_block[1, 0] -0.139 0.877 -1.574 1.206 0.012 0.014 5667.0 3063.0 1.0\n", + "z_block[1, 1] -0.252 0.820 -1.567 1.065 0.010 0.014 6141.0 2950.0 1.0\n", + "z_block[1, 2] -0.402 0.841 -1.747 0.953 0.011 0.012 5565.0 3300.0 1.0\n", + "z_block[1, 3] 0.240 0.853 -1.050 1.629 0.011 0.013 6536.0 3148.0 1.0\n", + "z_block[1, 4] 0.035 0.803 -1.282 1.268 0.010 0.012 6050.0 3079.0 1.0\n", + "z_block[1, 5] 0.795 0.882 -0.606 2.209 0.013 0.011 4431.0 3202.0 1.0\n", + "z_block[2, 0] -0.128 0.942 -1.655 1.339 0.012 0.015 5812.0 3369.0 1.0\n", + "z_block[2, 1] 0.174 0.962 -1.432 1.656 0.011 0.016 7222.0 3020.0 1.0\n", + "z_block[2, 2] 0.019 0.938 -1.537 1.437 0.011 0.018 7040.0 2325.0 1.0\n", + "z_block[2, 3] -0.268 0.893 -1.619 1.242 0.011 0.014 7031.0 3159.0 1.0\n", + "z_block[2, 4] 0.235 0.932 -1.228 1.746 0.011 0.015 7393.0 3028.0 1.0\n", + "z_block[2, 5] -0.069 0.926 -1.558 1.387 0.012 0.016 6284.0 3006.0 1.0\n", + "z_block[3, 0] -0.614 0.961 -2.149 0.915 0.012 0.012 6496.0 3194.0 1.0\n", + "z_block[3, 1] 0.258 0.907 -1.227 1.666 0.011 0.015 6812.0 2742.0 1.0\n", + "z_block[3, 2] 0.239 0.900 -1.211 1.650 0.011 0.014 6636.0 3177.0 1.0\n", + "z_block[3, 3] -0.012 0.933 -1.528 1.462 0.011 0.016 6781.0 2974.0 1.0\n", + "z_block[3, 4] -0.061 0.913 -1.435 1.453 0.011 0.016 7351.0 3078.0 1.0\n", + "z_block[3, 5] 0.454 0.930 -1.027 1.931 0.011 0.014 6617.0 2932.0 1.0\n", + "L_Rho_block[0, 0] 1.000 0.000 1.000 1.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[0, 1] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[0, 2] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[0, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[1, 0] -0.062 0.374 -0.623 0.574 0.005 0.006 4592.0 3122.0 1.0\n", + "L_Rho_block[1, 1] 0.920 0.097 0.794 1.000 0.002 0.001 2692.0 3089.0 1.0\n", + "L_Rho_block[1, 2] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[1, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[2, 0] -0.020 0.378 -0.649 0.557 0.004 0.007 7142.0 2844.0 1.0\n", + "L_Rho_block[2, 1] -0.035 0.365 -0.602 0.562 0.004 0.006 7624.0 3040.0 1.0\n", + "L_Rho_block[2, 2] 0.839 0.135 0.655 1.000 0.003 0.002 1757.0 2150.0 1.0\n", + "L_Rho_block[2, 3] 0.000 0.000 0.000 0.000 0.000 0.000 4000.0 4000.0 NaN\n", + "L_Rho_block[3, 0] 0.045 0.379 -0.552 0.663 0.005 0.006 5021.0 3052.0 1.0\n", + "L_Rho_block[3, 1] 0.056 0.373 -0.487 0.709 0.005 0.006 4887.0 3093.0 1.0\n", + "L_Rho_block[3, 2] 0.012 0.373 -0.572 0.627 0.005 0.006 4738.0 2872.0 1.0\n", + "L_Rho_block[3, 3] 0.739 0.166 0.508 0.986 0.004 0.003 2069.0 2228.0 1.0\n", + "sigma_block[0] 0.400 0.321 0.000 0.796 0.006 0.004 2252.0 2283.0 1.0\n", + "sigma_block[1] 0.445 0.344 0.000 0.892 0.007 0.005 1967.0 2353.0 1.0\n", + "sigma_block[2] 0.303 0.268 0.000 0.627 0.004 0.003 3314.0 2291.0 1.0\n", + "sigma_block[3] 0.473 0.375 0.000 0.938 0.007 0.005 1971.0 2057.0 1.0\n", + "alpha[0, 0] -0.844 0.609 -1.798 0.138 0.011 0.008 3018.0 3108.0 1.0\n", + "alpha[0, 1] -0.511 0.488 -1.332 0.210 0.008 0.006 3697.0 3196.0 1.0\n", + "alpha[0, 2] -0.968 0.724 -2.073 0.196 0.012 0.009 3837.0 3287.0 1.0\n", + "alpha[0, 3] -0.573 0.659 -1.688 0.384 0.011 0.008 3787.0 3380.0 1.0\n", + "alpha[1, 0] 3.152 1.250 1.301 4.881 0.020 0.015 4111.0 3012.0 1.0\n", + "alpha[1, 1] 2.005 0.994 0.487 3.404 0.017 0.012 3564.0 2907.0 1.0\n", + "alpha[1, 2] 4.309 1.662 1.993 6.688 0.026 0.019 4333.0 3691.0 1.0\n", + "alpha[1, 3] 3.406 1.531 1.284 5.719 0.024 0.018 4224.0 3729.0 1.0\n", + "alpha[2, 0] -1.107 0.627 -2.048 -0.059 0.012 0.008 2984.0 2985.0 1.0\n", + "alpha[2, 1] -0.326 0.475 -1.061 0.424 0.008 0.006 3701.0 3368.0 1.0\n", + "alpha[2, 2] -1.537 0.758 -2.752 -0.397 0.012 0.009 3838.0 3581.0 1.0\n", + "alpha[2, 3] -1.298 0.660 -2.315 -0.265 0.011 0.008 3689.0 3640.0 1.0\n", + "alpha[3, 0] -0.937 0.609 -1.988 -0.034 0.011 0.008 2847.0 2833.0 1.0\n", + "alpha[3, 1] -0.580 0.489 -1.425 0.103 0.008 0.006 3921.0 3536.0 1.0\n", + "alpha[3, 2] -1.833 0.810 -3.070 -0.571 0.013 0.009 3685.0 3422.0 1.0\n", + "alpha[3, 3] -0.976 0.655 -1.992 0.053 0.010 0.007 3970.0 3603.0 1.0\n", + "alpha[4, 0] -0.830 0.606 -1.803 0.092 0.011 0.008 2947.0 3191.0 1.0\n", + "alpha[4, 1] -0.376 0.476 -1.180 0.332 0.008 0.006 3636.0 3293.0 1.0\n", + "alpha[4, 2] -0.970 0.726 -2.106 0.157 0.012 0.009 3644.0 3421.0 1.0\n", + "alpha[4, 3] -0.701 0.649 -1.760 0.301 0.010 0.008 4094.0 3235.0 1.0\n", + "alpha[5, 0] 0.781 0.638 -0.226 1.775 0.013 0.009 2588.0 3109.0 1.0\n", + "alpha[5, 1] -0.047 0.489 -0.838 0.713 0.008 0.006 3884.0 2572.0 1.0\n", + "alpha[5, 2] 0.247 0.705 -0.802 1.415 0.012 0.009 3467.0 3059.0 1.0\n", + "alpha[5, 3] -0.099 0.654 -1.140 0.903 0.011 0.008 3396.0 3452.0 1.0\n", + "alpha[6, 0] 1.206 0.661 0.164 2.255 0.012 0.009 2952.0 3040.0 1.0\n", + "alpha[6, 1] 0.923 0.590 -0.008 1.821 0.010 0.007 3706.0 3387.0 1.0\n", + "alpha[6, 2] 2.644 0.948 1.114 4.069 0.015 0.010 4093.0 3203.0 1.0\n", + "alpha[6, 3] 2.583 1.238 0.819 4.327 0.021 0.015 3962.0 2851.0 1.0\n", + "beta[0, 0] -0.128 0.347 -0.694 0.366 0.005 0.005 4443.0 3501.0 1.0\n", + "beta[0, 1] -0.052 0.356 -0.625 0.522 0.005 0.004 5006.0 3834.0 1.0\n", + "beta[0, 2] -0.051 0.296 -0.509 0.410 0.005 0.004 3767.0 3333.0 1.0\n", + "beta[0, 3] -0.410 0.502 -1.230 0.177 0.009 0.006 2840.0 3496.0 1.0\n", + "beta[1, 0] 0.055 0.337 -0.446 0.622 0.005 0.005 4781.0 3152.0 1.0\n", + "beta[1, 1] -0.133 0.354 -0.723 0.371 0.005 0.004 4166.0 3478.0 1.0\n", + "beta[1, 2] 0.083 0.319 -0.308 0.653 0.005 0.004 4656.0 3749.0 1.0\n", + "beta[1, 3] 0.170 0.382 -0.395 0.780 0.006 0.005 3841.0 3438.0 1.0\n", + "beta[2, 0] 0.317 0.425 -0.208 0.992 0.007 0.005 3416.0 3690.0 1.0\n", + "beta[2, 1] -0.234 0.384 -0.862 0.274 0.006 0.004 4393.0 3765.0 1.0\n", + "beta[2, 2] 0.005 0.301 -0.433 0.478 0.005 0.004 4467.0 3665.0 1.0\n", + "beta[2, 3] 0.160 0.395 -0.419 0.786 0.007 0.005 3436.0 3374.0 1.0\n", + "beta[3, 0] 0.132 0.363 -0.347 0.765 0.006 0.005 4384.0 3346.0 1.0\n", + "beta[3, 1] 0.121 0.373 -0.460 0.688 0.006 0.005 4625.0 3475.0 1.0\n", + "beta[3, 2] -0.118 0.299 -0.600 0.284 0.005 0.004 3625.0 3715.0 1.0\n", + "beta[3, 3] 0.020 0.397 -0.618 0.661 0.006 0.005 4497.0 3784.0 1.0\n", + "beta[4, 0] -0.206 0.380 -0.852 0.282 0.006 0.005 3851.0 3106.0 1.0\n", + "beta[4, 1] 0.049 0.350 -0.496 0.606 0.005 0.004 4743.0 3521.0 1.0\n", + "beta[4, 2] 0.111 0.315 -0.276 0.632 0.005 0.004 4500.0 3759.0 1.0\n", + "beta[4, 3] -0.027 0.363 -0.617 0.522 0.006 0.005 4160.0 3394.0 1.0\n", + "beta[5, 0] -0.129 0.364 -0.757 0.365 0.005 0.005 4804.0 3337.0 1.0\n", + "beta[5, 1] 0.436 0.499 -0.158 1.206 0.010 0.007 2438.0 3590.0 1.0\n", + "beta[5, 2] -0.047 0.299 -0.479 0.404 0.005 0.003 3962.0 3423.0 1.0\n", + "beta[5, 3] 0.328 0.482 -0.272 1.100 0.008 0.006 3374.0 3766.0 1.0\n" + ] + } + ], + "source": [ + "print(az.summary(m_14_3, hdi_prob=0.89).to_string())" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "4583570f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_forest(m_14_3, combined=True, hdi_prob=0.89, figsize=(17, 35))\n", + "\n", + "plt.axvline(x=0, color='red', ls='--', alpha=0.7)\n", + "plt.grid(axis='y', color='white', ls='--', alpha=0.3)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "bce2c3d2", + "metadata": {}, + "source": [ + "### R Code 14.20" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "b6c2f46b", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from importlib import reload\n", + "plt=reload(plt)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "be704c0c", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "alpha_ess_14_3 = az.ess(m_14_3, var_names=[\"alpha\", \"beta\"]).alpha.values.flatten()\n", + "beta_ess_14_3 = az.ess(m_14_3, var_names=[\"alpha\", \"beta\"]).alpha.values.flatten()\n", + "\n", + "alpha_ess_14_2 = az.ess(m_14_2, var_names=[\"alpha\", \"beta\"]).alpha.values.flatten()\n", + "beta_ess_14_2 = az.ess(m_14_2, var_names=[\"alpha\", \"beta\"]).beta.values.flatten()\n", + "\n", + "plt.figure(figsize=(17, 8))\n", + "\n", + "plt.scatter(alpha_ess_14_2, alpha_ess_14_3, c='b')\n", + "plt.scatter(beta_ess_14_2, beta_ess_14_3[:24], c='b')\n", + "\n", + "plt.plot([0, 5000], [0, 5000], ls='--', c='red')\n", + "plt.text(1150, 1250, 'x = y', color='red')\n", + "\n", + "plt.ylim(900, 5000)\n", + "plt.xlim(0, 1500)\n", + "\n", + "plt.title('ESS - Effective Simple Size Comparison')\n", + "plt.xlabel('Model centered (Default)')\n", + "plt.ylabel('Model non-centered (Cholesky)')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f9ac8694", + "metadata": {}, + "source": [ + "### R Code 14.21" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "25a42217", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
sigma_actor[0]1.3830.4890.6642.0250.0100.0072353.03000.01.0
sigma_actor[1]0.9010.4040.2961.4340.0070.0052969.02671.01.0
sigma_actor[2]1.8450.5920.9312.6080.0110.0093250.02401.01.0
sigma_actor[3]1.5680.5820.6692.3120.0110.0083144.02650.01.0
sigma_block[0]0.4000.3210.0000.7960.0060.0042252.02283.01.0
sigma_block[1]0.4450.3440.0000.8920.0070.0051967.02353.01.0
sigma_block[2]0.3030.2680.0000.6270.0040.0033314.02291.01.0
sigma_block[3]0.4730.3750.0000.9380.0070.0051971.02057.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd \\\n", + "sigma_actor[0] 1.383 0.489 0.664 2.025 0.010 0.007 \n", + "sigma_actor[1] 0.901 0.404 0.296 1.434 0.007 0.005 \n", + "sigma_actor[2] 1.845 0.592 0.931 2.608 0.011 0.009 \n", + "sigma_actor[3] 1.568 0.582 0.669 2.312 0.011 0.008 \n", + "sigma_block[0] 0.400 0.321 0.000 0.796 0.006 0.004 \n", + "sigma_block[1] 0.445 0.344 0.000 0.892 0.007 0.005 \n", + "sigma_block[2] 0.303 0.268 0.000 0.627 0.004 0.003 \n", + "sigma_block[3] 0.473 0.375 0.000 0.938 0.007 0.005 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "sigma_actor[0] 2353.0 3000.0 1.0 \n", + "sigma_actor[1] 2969.0 2671.0 1.0 \n", + "sigma_actor[2] 3250.0 2401.0 1.0 \n", + "sigma_actor[3] 3144.0 2650.0 1.0 \n", + "sigma_block[0] 2252.0 2283.0 1.0 \n", + "sigma_block[1] 1967.0 2353.0 1.0 \n", + "sigma_block[2] 3314.0 2291.0 1.0 \n", + "sigma_block[3] 1971.0 2057.0 1.0 " + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(m_14_3, var_names=['sigma_actor', 'sigma_block'], hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "ddaba67e", + "metadata": {}, + "source": [ + "### R Code 14.22" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "59087979", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [], + "source": [ + "# Like R Code 11.17\n", + "# ==================\n", + "\n", + "TODO = \"\"\"\n", + "plt.figure(figsize=(18, 6))\n", + "\n", + "plt.ylim(0, 1.3)\n", + "plt.xlim(0, 7)\n", + "plt.axhline(y=1, ls='-', c='black')\n", + "plt.axhline(y=0.5, ls='--', c='black')\n", + "\n", + "\n", + "for i in range(7):\n", + " plt.axvline(x=i+1, c='black')\n", + " plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)\n", + " \n", + " alpha_chimp = az.extract(samples_chimpanzees.posterior.alpha.sel(alpha_dim_0=i)).alpha.values\n", + " \n", + " RN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)).beta.values)\n", + " LN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values)\n", + " RP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)).beta.values)\n", + " LP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values)\n", + " \n", + " # To R/N and R/P\n", + " # ===============\n", + " if not i == 1:\n", + " plt.plot([0.2 + i, 0.8 + i], [RN.mean(), RP.mean()], color='black')\n", + " \n", + " # Plot hdi compatibility interval\n", + " RN_hdi_min, RN_hdi_max = az.hdi(RN, hdi_prob=0.89)\n", + " RP_hdi_min, RP_hdi_max = az.hdi(RP, hdi_prob=0.89)\n", + " plt.plot([0.2 + i, 0.2 + i], [RN_hdi_min, RN_hdi_max], c='black')\n", + " plt.plot([0.8 + i, 0.8 + i], [RP_hdi_min, RP_hdi_max], c='black')\n", + " \n", + " # Plot points\n", + " plt.plot(0.2 + i, RN.mean(), 'o', markerfacecolor='white', color='black')\n", + " plt.plot(0.8 + i, RP.mean(), 'o', markerfacecolor='black', color='white')\n", + " \n", + " # To L/N and L/P\n", + " # ===============\n", + " if not i == 1:\n", + " plt.plot([0.3 + i, 0.9 + i], [LN.mean(), LP.mean()], color='black', linewidth=3)\n", + "\n", + " # Plot hdi compatibility interval\n", + " LN_hdi_min, LN_hdi_max = az.hdi(LN, hdi_prob=0.89)\n", + " LP_hdi_min, LP_hdi_max = az.hdi(LP, hdi_prob=0.89)\n", + " plt.plot([0.3 + i, 0.3 + i], [LN_hdi_min, LN_hdi_max], c='black')\n", + " plt.plot([0.9 + i, 0.9 + i], [LP_hdi_min, LP_hdi_max], c='black')\n", + "\n", + " plt.plot(0.3 + i, LN.mean(), 'o', markerfacecolor='white', color='black')\n", + " plt.plot(0.9 + i, LP.mean(), 'o', markerfacecolor='black', color='white')\n", + " \n", + " # Labels for only first points\n", + " if i == 0:\n", + " plt.text(x=0.08, y=RN.mean() - 0.08, s='R/N')\n", + " plt.text(x=0.68, y=RP.mean() - 0.08, s='R/P')\n", + " plt.text(x=0.17, y=LN.mean() + 0.08, s='L/N')\n", + " plt.text(x=0.77, y=LP.mean() + 0.08, s='L/P')\n", + " \n", + "plt.title('Posterior Predictions')\n", + "plt.ylabel('Proportion left lever')\n", + "plt.yticks([0, 0.5, 1], [0, 0.5, 1])\n", + "plt.xticks([])\n", + "\n", + "plt.show()\n", + "\"\"\"\n", + "\n", + "# TODO: Rebuild to this example. " + ] + }, + { + "cell_type": "markdown", + "id": "8aa0e435", + "metadata": {}, + "source": [ + "## 14.3 Instrumental and Causal Designs" + ] + }, + { + "cell_type": "markdown", + "id": "48fcf909", + "metadata": {}, + "source": [ + "The variable $^*U$ is an unobserved. " + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "07efc71e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dag_14_3_1 = CausalGraphicalModel(\n", + " nodes=['e', 'U*', 'w'],\n", + " edges=[\n", + " ('U*', 'e'),\n", + " ('U*', 'w'),\n", + " ('e', 'w')\n", + " ],\n", + ")\n", + "\n", + "# Drawing the DAG\n", + "pgm = daft.PGM()\n", + "coordinates = {\n", + " \"U*\": (2, 1),\n", + " \"e\": (0, 0),\n", + " \"w\": (4, 0),\n", + "}\n", + "for node in dag_14_3_1.dag.nodes:\n", + " pgm.add_node(node, node, *coordinates[node])\n", + "for edge in dag_14_3_1.dag.edges:\n", + " pgm.add_edge(*edge)\n", + "pgm.render()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9e35b195", + "metadata": {}, + "source": [ + "Now, we add *Instrumental Variable* **Q**:" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "1ceab73f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dag_14_3_1 = CausalGraphicalModel(\n", + " nodes=['e', 'U*', 'w', 'Q'],\n", + " edges=[\n", + " ('U*', 'e'),\n", + " ('U*', 'w'),\n", + " ('e', 'w'),\n", + " ('Q', 'e')\n", + " ],\n", + ")\n", + "\n", + "# Drawing the DAG\n", + "pgm = daft.PGM()\n", + "coordinates = {\n", + " \"U*\": (3, 1),\n", + " \"e\": (1, 0),\n", + " \"w\": (5, 0),\n", + " \"Q\": (0, 1),\n", + "}\n", + "for node in dag_14_3_1.dag.nodes:\n", + " pgm.add_node(node, node, *coordinates[node])\n", + "for edge in dag_14_3_1.dag.edges:\n", + " pgm.add_edge(*edge)\n", + "pgm.render()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1a17a26f", + "metadata": {}, + "source": [ + "### R Code 14.23" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "f196cc82", + "metadata": {}, + "outputs": [], + "source": [ + "def standartize(data, get_parameters=False):\n", + " mean = np.mean(data)\n", + " std = np.std(data)\n", + " \n", + " if not get_parameters:\n", + " return list((data - mean)/std)\n", + " else:\n", + " return list((data - mean)/std), mean, std" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "73e3131b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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WEQ
00.458919-1.050410-1.412495
10.3676550.8271801.390074
2-0.0586690.0955030.455884
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............
495-1.6613040.2227960.455884
4960.0785340.3637800.455884
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500 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " W E Q\n", + "0 0.458919 -1.050410 -1.412495\n", + "1 0.367655 0.827180 1.390074\n", + "2 -0.058669 0.095503 0.455884\n", + "3 0.139368 1.715983 0.455884\n", + "4 1.289500 1.171285 0.455884\n", + ".. ... ... ...\n", + "495 -1.661304 0.222796 0.455884\n", + "496 0.078534 0.363780 0.455884\n", + "497 -0.341889 -1.104266 -1.412495\n", + "498 0.326049 -1.023097 -0.478305\n", + "499 2.156961 2.760130 1.390074\n", + "\n", + "[500 rows x 3 columns]" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 500\n", + "\n", + "U_sim = np.random.normal(0, 1, N)\n", + "Q_sim = np.random.choice([1,2,3,4], size=N, replace=True)\n", + "\n", + "E_sim = np.random.normal(U_sim + Q_sim, 1, N) # E is influencied by U and Q\n", + "W_sim = np.random.normal(U_sim + 0*E_sim, 1, N) # W is influencied only by U, not by E\n", + "\n", + "dat_sim = pd.DataFrame({\n", + " 'W': standartize(W_sim),\n", + " 'E': standartize(E_sim),\n", + " 'Q': standartize(Q_sim)\n", + "})\n", + "\n", + "dat_sim" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "1af0000a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17,5))\n", + "\n", + "plt.plot(dat_sim.E, dat_sim.W, 'o')\n", + "\n", + "plt.title('Wages explained by Education')\n", + "plt.xlabel('Education (std)')\n", + "plt.ylabel('Wages (std)')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "2dc40722", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_c0jh6dxp/model_52bfqcfx.stan', line 26, column 8 to column 30)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 5.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_c0jh6dxp/model_52bfqcfx.stan', line 26, column 8 to column 30)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] real W;\n", + " array[N] real E;\n", + " }\n", + " \n", + " parameters {\n", + " real aW;\n", + " real bEW;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " array[N] real mu;\n", + " \n", + " aW ~ normal(0, 0.2);\n", + " bEW ~ normal(0, 0.5);\n", + " \n", + " sigma ~ exponential(1);\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = aW + bEW*E[i];\n", + " }\n", + " \n", + " W ~ normal(mu, sigma);\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': len(dat_sim),\n", + " 'W': dat_sim.W.values,\n", + " 'E': dat_sim.E.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "56154b08", + "metadata": {}, + "outputs": [], + "source": [ + "model_14_4 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "6ec9ec02", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
aW-0.0000.039-0.0660.0570.0010.0013968.02939.01.0
bEW0.4130.0400.3490.4790.0010.0003483.02369.01.0
sigma0.9120.0300.8670.9610.0000.0004109.02633.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "aW -0.000 0.039 -0.066 0.057 0.001 0.001 3968.0 \n", + "bEW 0.413 0.040 0.349 0.479 0.001 0.000 3483.0 \n", + "sigma 0.912 0.030 0.867 0.961 0.000 0.000 4109.0 \n", + "\n", + " ess_tail r_hat \n", + "aW 2939.0 1.0 \n", + "bEW 2369.0 1.0 \n", + "sigma 2633.0 1.0 " + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_14_4, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "a5740ffb", + "metadata": {}, + "source": [ + "### R Code 14.25" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "aaad136a", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 20% (1600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 45% (3600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 65% (5200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 84% (6700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.00012 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.2 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000101 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.01 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000101 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.01 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000133 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.33 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_zqyrczxi/model_e2wavfpt.stan', line 29, column 8 to column 30)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " array[N] real W;\n", + " array[N] real E;\n", + " array[N] real Q;\n", + " }\n", + " \n", + " parameters {\n", + " real aW;\n", + " real bEW;\n", + " real bQW;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " array[N] real mu;\n", + " \n", + " aW ~ normal(0, 0.2);\n", + " bEW ~ normal(0, 0.5);\n", + " bQW ~ normal(0, 0.5);\n", + " \n", + " sigma ~ exponential(1);\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = aW + bEW*E[i] + bQW*Q[i];\n", + " }\n", + " \n", + " W ~ normal(mu, sigma);\n", + " }\n", + "\n", + "\"\"\"\n", + "\n", + "dat_list = {\n", + " 'N': len(dat_sim),\n", + " 'W': dat_sim.W.values,\n", + " 'E': dat_sim.E.values,\n", + " 'Q': dat_sim.Q.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=dat_list)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "0d39a807", + "metadata": {}, + "outputs": [], + "source": [ + "model_14_5 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_model=posteriori,\n", + " observed_data=dat_list.keys()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "93ded380", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
aW-0.0010.038-0.0620.0600.0010.0013870.02998.01.0
bEW0.6330.0500.5560.7120.0010.0013293.02912.01.0
bQW-0.3480.050-0.421-0.2570.0010.0013419.02644.01.0
sigma0.8700.0270.8280.9120.0000.0003886.03023.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_5.5% hdi_94.5% mcse_mean mcse_sd ess_bulk \\\n", + "aW -0.001 0.038 -0.062 0.060 0.001 0.001 3870.0 \n", + "bEW 0.633 0.050 0.556 0.712 0.001 0.001 3293.0 \n", + "bQW -0.348 0.050 -0.421 -0.257 0.001 0.001 3419.0 \n", + "sigma 0.870 0.027 0.828 0.912 0.000 0.000 3886.0 \n", + "\n", + " ess_tail r_hat \n", + "aW 2998.0 1.0 \n", + "bEW 2912.0 1.0 \n", + "bQW 2644.0 1.0 \n", + "sigma 3023.0 1.0 " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(model_14_5, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "597f7cb9", + "metadata": {}, + "source": [ + "Include instrument variable $Q$, the bias increase. The `bEW` now is $0.6$ instead of $0.4$ from previous model. The results from the new model is *terrible*! \n", + "\n", + "Now, we goes to use *instrument variable* correctly." + ] + }, + { + "cell_type": "markdown", + "id": "b9adbb14", + "metadata": {}, + "source": [ + "Let's wirter four models, simples generative versions of the DAG's. \n", + "\n", + "1. The firt model for how wages $W$ are caused by education $E$ and the unobserverd confound $U$.\n", + "\n", + "$$ W_i \\sim Normal(\\mu_{w,i}, \\sigma_{w})$$\n", + "\n", + "$$ \\mu_{w, i} = \\alpha_{w} + \\beta_{EW}E_i + U_i $$\n", + "\n", + "\n", + "2. The second model, for education levels $E$ are caused by quarter of birth $Q$ and the same unobserved confound $U$.\n", + "\n", + "$$ E_i \\sim Normal(\\mu_{E, i}, \\sigma_E) $$\n", + "\n", + "$$ \\mu_{E, i} = \\alpha_{E} + \\beta_{QE}Q_i + U_i $$\n", + "\n", + "3. The thirt model is for $Q$, that says that one-quarter of all people born in each quarter of the year.\n", + "\n", + "$$ Q_i \\sim Categorical([0.25, 0.25, 0.25, 0.25]) $$\n", + "\n", + "4. Finally, the model says that the unobserved confound $U$ is normally distributed with mean standart gaussian.\n", + "\n", + "$$ U_i \\sim Normal(0, 1) $$\n", + "\n", + "Now, we writer this generative model to statistical model, like multivariate normal distribution. Like this:\n", + "\n", + "$$\\begin{pmatrix}\n", + "W_i \\\\\n", + "E_i\n", + "\\end{pmatrix} \\sim\n", + " MVNormal\\begin{pmatrix}\n", + " \\begin{bmatrix}\n", + " \\mu_{w, i} \\\\\n", + " \\mu_{E, i}\n", + " \\end{bmatrix}, S\n", + " \\end{pmatrix}\n", + "$$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31c96c78", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_3.ipynb b/_sources/parte_3.ipynb index 77eb28a..103349b 100644 --- a/_sources/parte_3.ipynb +++ b/_sources/parte_3.ipynb @@ -8,7 +8,7 @@ } }, "source": [ - "## 3- Modelos Geocêntricos\n" + "# 3- Modelos Geocêntricos\n" ] }, { @@ -144,15 +144,35 @@ { "cell_type": "code", "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)\n", + " \n", + "# plt.xkcd() " + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": { "pycharm": { "name": "#%%\n" - } + }, + "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -177,7 +197,6 @@ ], "source": [ "# Construindo um passeio conforme a distribuição Bernoulli(0.5) em +1 ou -1\n", - "\n", "n_linhas = 500 # Quantas linhas iremos simular?\n", "n_passos = 30 # Quantidade de passos que iremos simular?\n", "\n", @@ -523,7 +542,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "pycharm": { "name": "#%%\n" @@ -593,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "pycharm": { "name": "#%%\n" @@ -602,7 +621,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -697,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "pycharm": { "name": "#%%\n" @@ -706,7 +725,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -776,7 +795,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "pycharm": { "name": "#%%\n" @@ -785,7 +804,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -841,7 +860,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "pycharm": { "name": "#%%\n" @@ -850,7 +869,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -885,7 +904,7 @@ "plt.vlines(0, 0, 0.008, color='red', ls='--', linewidth=2) # 0 cm de altura, ovo fertilizado.\n", "plt.vlines(272, 0, 0.008, color='red', ls='--', linewidth=2) # 272 cm de altura, pessoa mais alta da história.\n", "\n", - "plt.grid(color='white', linewidth='0.3', ls='--')\n", + "plt.grid(color='white', linewidth='0.1', ls='--')\n", "\n", "plt.show()" ] @@ -928,7 +947,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "pycharm": { "name": "#%%\n" @@ -937,7 +956,7 @@ "outputs": [ { "data": { - "image/png": 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NfBi4IHPrMRExIrK02DZOE841xlyc/kdEviAiL4hIQkRuGJtYRN4nIq+KyJCI3C0izRnnmkXkLvvcqyLyvlyNEJGv2jfdfjvvv405v0ZEnhaRYfv3moxzIiJfEZF99s9XREQAjDExY0wd8N+OPpXK43vAN4wx9+WawRizyhjzaOlMUhTvMN59RkRuEJGfl8umcpCrUykiPuBW4B1AQETOLLVtisVUO/7FvFeUynYRmQ18AOteiIjMAOYBG3PI/nXgxjyq/SDwMtBkjHk8w5YrReQpEYmJyI8nsHeZiETHfr/YAxeZP0kR+XYuxkxWr4g8ateZLnuTk/P51i0ii0XkfttZ3ysit4pIION81mdLY8xXgQVAG/C2XG0qB+roK0oWjDHPGmPOMMYMl9uWCmYr8GngIIfQfqP9PeBioBUYBr6bkeQ7wIh97v3A/3PwFvwHQJsxpgE4GXi/iPyDXW8V8Fvg58AM4CfAb+3jAJdjPUweBRwJnAtckWO9RSXz5uQmjDEfMMb8ptx2KIpS2aS/A40xKWPMBcaYDcaYfzbG/L7ctuWCW7/Dp4oK1n8pcL8xJmL/fwSwLeP/bNwDnCIicxzW2QxsNMakxhzfDdwE/DBL3u8AT449aIypS/8Ac4AI8Ksc7cml3isz6hhvMG6y8/nU/V2gE5gLrAHeDHws4/ykz5bGmCHgFWCmA5umHHX0lYOwp/48KCL7RaQjPdIp1pTkb4rIbvvnm2JPZxd7Cq49naVTRPaIyDtE5CyxptHtHztiOqbOs+W16UY7JGNkV0RCIvJze+S0V0SeFJHWLBLWiMjzItInIneISCjTxoxyt4nItSKywX6r96N0Wvv8R0Rkq237PSIyzz7+mJ3kOfsN47vt4+eIyDrbxr+JyJEZZX1GRHaJyICIbBKRU+3jPhG5RkResvXdKfaItRPdInK0iDxjl38HEBpzfkLbxinLiMjHRGSLXd4XROQwO1+/bWOVnfZSEfnLOPlznu1gjPmJ/UA2MM7p9wP3GmMeM8YMAtcB/yAi9SJSC1wIXGeMGTTG/AXr5njxOOWMV+8m+4s6TQpI2/0WIAB80x6h/xYgwFvt85cA/26M2WmM2QX8O9ZNPSfEGpX7td0/B+y2OyrjfLpPDNj984KMc5eKNSX+FhHZB9xgt8/Ddl/pFpH/FpGmLPX/h7w2m+FpEXljlrQ/FpHvisjv7f7+VxGZY1//PSLSLtbMl3T6eSLyGxHpEpFXROQTGefCdnk9IrIBOH5MXaMjKyJygog8bvfZPWK9ca9CUZRRstxbJvwOsc9vE5GrZfx75WT3kxVijbT1ijWF+rws9k2YdiLbx+T/GXAIcK/9/fPpDPs/IyLPA0MiEsj23eOgvs+IyK/HHPsPEflWLp9rrp+RU/tzsd1ON1nb5WS/Q60HtZGMeQ6QMUsIJtDvxLbMe0UudU3U18ezfbK2y6ktgDOB/834/0hgq4h8y27j3SJy+ngZjTFR4GngjIk+gwkIYD3LjC3vf4wxdwP7xsskIu8BeoE/TVL+hVgO8p9zMWayekvJJHUvAe40xkSNMXuBPwCrAMTZs2UK6zN3L8YY/dGf0R+gHtgDXIV1g6gHTrTP3QisBVqA2cDfgC/Y594CJIDrgSDwEaAL+IVdxiqst4BLJqj3LVhvO31YX4YdwDvsc1cA9wI1gB84FmiYoJxtwN+xpkc1Y02R+qeMOnaOSfsisNBO+1fgJvvcW4Fu4BigGvg28FhGXgMszfj/aKwvvxNtGy+xy68GlgM7gHl22sXAYfbf/2J/pgvstN8DbneiG6gCXgU+ZX/2FwHxDC0T2jbBZ2iwRrMb7HaLYX35Hwo0AhuAS+y0lwJ/GSf/0iztc9oE534O3DDm2G+Bz4w5Nmh/FkcDw2POXY31YiDX/n6NXZ7Bmu62wD7+KeD3Y9L+DrjK/rsP+7qw/z8OGBiT/sfpNhin3hvsNrrIbrOrsd4MB+3z78Tqwz7g3cAQMDfjM08A/4x1gwljvaA43e5Ds4HHsF5STKT7H7HeQgewrvW9QGiCtD/GuhaOxfpOeNi29QN2f7oJeMRO68N6OLne7peH2p/rGfb5L2M9IDRjXXcvcvA1eZr997HASbaNi7Gu5U9O1Xeh/uhPuX/G+y61vzt+bv+d7d4y4XeIfX4b49wrmfx+EsSahfVvdtq3Yr2kXT6O/ROmzWb7OOWMfi+MObbO/h4J5/Ddk1N9wCKsmWP19v9+rGeikyb7XNN25vIZObHfge1Z2y6XfjGmvEm1TtRGHPyM9OMxdhygPw/bRuvLsa5xnwvHKStr2+XaFva5LuD4jP+/h+V0nmFr/L/AQ1mu/29hLX8DawT6u5N8X6S1fThLmpuAH4851gBsxnoOvQH7+2WC/A8z5jktx++yg+q1jz9qf07dWM/gb3FyPt+6sZ6vf4r1fD0f61nkAvtczs+WWLM9bweqnNo1VT86oq+M5RxgrzHm3431pmvAGPOEfe79wI3GmE5jTBfweQ58wxUHbjbGxIFfArOA/7DLWI/lIB7FOBhjHjXGvGCsqXfPY104b84odybWF3nSGPO0MaY/i4ZvGWN2G2P2YznKa7KkvdUYs8NOezPw3gytPzTGPGOstfnXAq8TkcUTlHM58D1jzBO2jT/BcpBPApJYDthKEQkaY7YZY16y8/0T8FljjQzHsL5kLxJrKluuuk/Cujl90xgTN8b8mgOnX2WzbSK+aozpt9vtReCPxpiXjTF9wO+xvgingjospzqTPqyXR3XA2M8jfS4njDFfttMfA/wso65s9Y53vg+oE7HW6efI08aYX9vXyzewnOiTbLt+ZffhlDHmDmALcEJG3t3GmG8bYxLGmIgxZqsx5kFjzT7osst789gKM3T/3Bizz87/77z2Qmoi7rL7XxS4C4gaY35qjEkCd/BafzgemG2MudEYM2KMeRn4L+A99vl3YX1H7DfG7MB6kJnIxqeNMWttG7dhPSRNqElRpiET3lty+A6B8e+Vk91PTsL6/vuyfY0/jPUS9L0cTLa02e6LufIt+/4dYfLvnpzqM8a8CjwDpEeT34r10L/WPp/L55rrZ5Sr/bl+VpO1Xa72O06bJ5n6S11frs+Fk7Wdk37bxIEzFY/Euv89YKyp9RsyE4u1pnxZxqEBuwyMMR8zxmROLT8AEflnrJcIfVjOpxO+APzAGLMzWyIRWYR1D3ZafjY+g/VSaz5wG9bMisMcnM+Xx7AGsvqBncBTwN32OSfPljcCp2DNSjmuCHYVHXX0lbEsBCb60pqH9bY4zav2sTT77Ad/sEbvwRqZJ+NY3XgFi8iJIvKIPZ2pD8sBnmWf/hnwAPBLe6rTV0UkmEXD3oy/hyeq02bHBHoO0GqsaeP7sL5sxmMRcJU91atXRHqxPst5xpitwCexnPhOEfml2MsA7Hx3ZeTZiHUjaXWgex6wyxjr9WKGlkltm0ALHNxuObVjCRjEetucSQPWDTDbuZwxFs9i6fp8DvWOd74BGBzTBpMx2vfsm/5O7DYRkQ/Ia0steoHVvHY9HJDXTt9q96tdItKPNTsiMz1j0l8tIhvtaYy9WDM1JkxP7v1hETBvTF/7N6z+jK1v7DU3kY2Hi8jvxAqU0w98cRIbFaXSSGI5bpkEsV4Ck+3eksN3CIx/r5zsfjIP2GEOXAP8KuPfGydMO8l9MVcyv0uyfvc4rO8XvObYvc/+H8j5c831M8rJfge2T9Z2udrvOG2ejL2PlbK+XJ8Ls7adw37Ug+0c2oMAq7FeMqRZTYazb4y51RizJeN8PdZ0+kkxxnwba735HOD8XPLYdq3BmoVySw7JL8aawflKruVPhrEGoAbsQYqfYI3an5Xr+XwQK2jnH4D/AWqx+tgM4Ct2EifPlv+C9TKtwRjzVCF2lQp19JWx7MB6ezYeu7FuRmkOsY8Vg19grYFZaIxpBP4Ta0009pvpzxtjVmIFTTsHa9pwMViY8XemngO02mt2ZgK7JihnB9ab2qaMnxpjzO22hl8YY95gl2l47QtlB3DmmHwhY8wuB7r3APPHjCYfkqttBTKENfUJAHEeOGYy1pMxC0REDsV6m77Z/gmMeQN+lJ0nHwJA+k3xeuDIMZ/pkRllH2BXnvWO9j37xrMA2G2/Nf8v4EpgpjGmCWtWRaYtY18ofNE+doSxggv+45j0o4i1Hv/TWKPrM+zy+yZK75AdwCtj+lq9MSZ9Y97DwdfcRPw/oB1YZmv6tyLZqCheYTvW1OBMlnDgS+iD7i05fodMxGT3k93AQvs7K/P8ePfGrGmz3BfHMtEL1Mzjk333OKnvV8BbRGQB1sj+L2B0RDOXzzXXzyhn+3O0PWvbOekXefShsW00TMazAZYDOmGeAvtsLnVlI9P2SdvOQT96Hjjc/nuJ/XtrxvmjsZYvAFaE+TH5VwDP5aTAsmsv8DiwMtc8WEtaFwPbRWQv1hT1C0XkmXHSfoDijuaPhyF7m092Pheasdr0VvsFwj7gR7z2AsHJs+UK4A8mtwCLZUEdfWUsvwPmisgnxQq+Vy8iJ9rnbgc+JyKzRWQW1lqyYm3zUw/sN8ZEReQErLfoAIjIKSJyhIj4sabTxBkn2EiefFxEFogVAO+zWNOQwdJ6mVhbrFVjOVJPGGsKMVgjmpkvRP4L+Cd7ZoKISK1YAQbrRWS5iLzVLieKNQKatv8/gZvtmxz2Z3u+Q92PY63Z/oSIBMWKHJ853W1C2/L+1F7jOWCV/TmFsN5yO8K2OYT1fRQQKwih3z7938C5IvJG+2XLjcD/2G94h7DeyN5oa3o91pvsn9nlLhYrSM/icer0icgVIjLD/kxOAD7Oa4FoHsUaTfuEfR1caR9/2P79U+BfxdqzeR7WOvcfO5R+rIj8g1jLND6JtZxiLdYbZoO1Lg0RuQzrzX826rHeQveJyHzg/0ySNmGXHxCR6zn47XW+/B0YECtYUVhE/CKyWkTSQffuBK61P/cFWHEGstnZDwyKSBvw0SLZqChe4Q6se+4C+zvrNKwdPn4NkOXeks93SJrJ7idPYDlWn7bPv8W26ZfjlDVh2knui2MZe78dj6zfPU7qM9byp0exHv5fMcakt0PL9XN18hlNar8D2ydrOyf9wmkfGttG64D32TrezuTLrgrps07rGkum7VnbzmG/vT/DliOBF8bMtjga25EX65m6M33CfiY6FnjQoZYYVmyBAxAr2GEIK+aE337OCmBNhz8MaynDGqxn0vsYEwRQRE7GmtVwULR9sYIf/ng8Y7LUi4g0icgZ6WMi8n7gTVij7bmcn7DebHUbY7qx4gx91E7ThBW76nkYjaY/4bPlGIJYn7lrUUdfOQBjzABWUK9zsaY6bcFafwJWQIunsC6GF7DWsd00TjH58DGsi2oA6wXCnRnn5mA92PRjTW3/X8a/4PLhF8AfsYLevIStxxjzEFaE999gvSU/jNfW+oHl0P5ErClm77Kn7HwEaw/fHqy3tpfaaauxgpB1Y32mLVhr/gH+A2smwx9t7WuxgublrNsYMwL8g13ffqwgNv+TcT6bbQVhjNmM5Xw/hNVX/pI9x7j8F9bN8r1YL1si2LEfjBUj4J+wHP5OLOcvc53ax7ACGXVivZz5qJ0HrJHjV5l4FsYFWG0+gPXC6tv2T/ozfQfWG+xerL1p32EfB2u9+L1Y18GLWDfG7znU/Vustuqx9f6DPYtjA1YU/8exHkCOwJqulo3PY8UZ6LNt+Z8saR/AulFuxvp8ooyZQpkv9tKdc7AeGF7B6vPfx1oakLbzVfvcH8l+HV+N9cJvAKuP3JElraJUIjdiBb39C9b3xFeB9xtjXrTPj3tvyfM7BMjpfjKC9Xxwpl3vd4EPGGPaJyhrorTZ7otj+RLWC49eEbl6Arsn++5xUh9YzwankTFtP9fP1clnlKP9OdmeQ9vl3C/y6ENj2+hf7M+gFyvm0d1Z8uZTXyaO6spmO/AJsredk370U+AsEQlj6Rkdnbcd+zlYzw9gvwjIyHsu8KgxZred/j9F5D9z0JJifN/uc1jPVtdgzfiLAJ8zxgwbY/amf7AGDKL2y65MLsEeZBmn7IVM3Fbj1mufC2I9c6eD7f0z1nPW5hzPZ6t3srr/AXi7XfZWrIG0T2XkzfZsmYmf4g08lgQxjpaUKkrlICLbsKKTPlRuW6YLIrIJax3ZXcaYS0pc1+eALmOMUwe80HqrsR5UglhBDT8/TpobsIIs/uNU2qYoiqIoXkdEtgP/aIx5bNLEZUREvgh0GmO+OUm6TwLbjLUdHCLyBPChjJd6Tuo7GjjPWIF+S4pYW94+Bxw5FfWVu94xNjRhxVj4sDHm/nLYkAvu3vtPUZSKwhiTLbJ7sesq1mwTp/XGsCPlKoqiKIpSPERkNtY2stvKbMqkGGP+LcekR2DN7kznOzFL2mx8H/ghVryfc429W0SpsGeRrChlHW6qN409a+Vq4BFeW/LpStTRVxRFURRFURTF1dgxFx4Evm2M2V5ue4qFMeZDRSrnZawAe0oJMcZ8Hfh6ue3IBZ26ryiKoiiKoiiKoigVhAbjUxRFURRFURRFUZQKYlpP3Z8xY4aZN29e0coTEbw+Q0I1uAPV4A5UgztQDQeyYcOGbmPM7KIUpoxSzGcCn88aR0mlXB2QOSuqwR2oBnegGtyBahifiZ4LprWjP2/ePO64o3g7NrW0tNDZ2Tl5QhejGtyBanAHqsEdqIYDOeKII14tSkHKARTzmSAQsB6vEolEUcorB6rBHagGd6Aa3IFqGJ+Jngt06n4RGR4eLrcJBaMa3IFqcAeqwR2oBsVr+P1+/H5/uc0oCNXgDlSDO1AN7kA1OGNaj+gXm/RUDC+jGtyBanAHqsEdqAbFa3h5Wmka1eAOVIM7UA3uQDU4Q588ikgoFCq3CQWjGtyBanAHqsEdqAbFa4gIIlJuMwpCNbgD1eAOVIM7UA3O0BH9IrJ///5ym1AwqsEdqAZ3oBqmDmMMiURi3IB1O3fuLINFxSUfDSJCIBDw/EONoiiKMn3Jdn93SjweHy3TqxSiwelzgTr6RaS5udnzAaNUgztQDe5ANUwdiUQCn8+Hz+c76AYWCAQ8HXgHnGswxpBKpUgkEgSDwRJappQCLz+EplEN7kA1uAPVkD/Z7u9OSef3cnvkqyGf5wJ19IuI1x9EQTW4BdXgDlTD1GGMmfAhwMs39DRONYgIPp+PZDJZIouUUlIJMRlUgztQDe5ANeRPtvu7kjv5PBeoo19EhoaGym1CwagGd6Aa3IFqmFomegiYrsF39KHIu1TCCxrV4A5UgztQDYVRrPvZdHzxn4nTz9H7r6dcRGNjY7lNKBjV4A5UgztQDe7A61vpQGVoKCUi8nYR2SQiW0XkmnHOV4vIHfb5J0RksX38BBFZZ/88JyIXZOTZJiIv2OeemkI5BAKB0b2SvYpqcAeqwR2oBnegwficoY5+EfHSyNlEqAZ3oBrcgWpwB1M1or9r1y4uuOCCyROOobe3lw9+8IOccMIJ3HzzzeOm+ehHP3pA2VdffTUXXXQRF110EWeccQYXXXRR3nZ7HRHxA98BzgRWAu8VkZVjkn0I6DHGLAVuAb5iH38ROM4YswZ4O/A9Ecl8kj3FGLPGGHNcKTWMJR6PjwZc8iqqwR2oBnegGtyBMaZso/p/+tOfeOmllxzne+SRR/j+978/+n8uGsbmyRdvv9ZxGV5/SwaqwS2oBnegGtyB29/eV1VVceWVV7J161a2bNly0PmHHnqI2traA459/etfH/37a1/7GnV1dSW308WcAGw1xrwMICK/BM4HNmSkOR+4wf7718CtIiLGmOGMNCHAFfM604GSvDzdVzW4A9XgDlSDOyhnML6HH36YN7/5zRx22GE550kkEpxyyimccsopo8cm0zBennzx/hOgi6iuri63CQWjGtyBanAHqsEdTKWjn0wmueGGG1i3bh0tLS1861vfIhQKZc1TU1PDMcccw/bt2w86Nzw8zE9/+lNuvPFGPvWpTx103hjDAw88wA9+8IOiafAg84EdGf/vBE6cKI0xJiEifcBMoFtETgR+CCwCLjbGpCNQGuCPImKA7xljbstmhM/nIxAI4Pf7SaVSBzyMpQMgBQIB4vE4wWAw6+90+urq6tGHOREhlUrh9/tzKiMYDJJIJAq2J98y0naGQqHR48lkEp/P5xlN42kY+9vtmtL2ZNPgdk3pfFVVVXldT27QlEqlCAaDRfuOKIemtAa/31/0ts6mKR6PIyKj/TnX3xORTxm7du3in/7pn1i5ciUbNmxg6dKl3HzzzTz//PN8/etfJ5lMsmrVKq6//nqCwSDf/OY3eeSRR/D7/Zx88smcdtppPProozz99NPcdttt3HLLLQDcfPPN9PT0EAqFuOGGG1iyZAmf+9znqKqqor29nTVr1rB8+XJefPFFPve5z7Fr1y6uu+46enp6aG5u5qabbmLOnDlZ84zVJCJUVVUd0E4TUVJHX0TeDvwH4Ae+b4z58pjz1cBPgWOBfcC7jTHbROR04MtAFTAC/B9jzMN2nmOBHwNh4H7gX4wxRkSagTuAxcA24F3GmJ5S6huLV/arzoZqcAeqwR2ohvLwlf/9Cu1d7UUts212G59582cmTbd9+3a++tWvcsMNN3DVVVfx4IMP0t3dzX333XdQ2mOPPZZrr702a3nf/va3ueSSSybcCufpp59m5syZLFq0KDchykEYY54AVonICuAnIvJ7Y0wUeIMxZpeItAAPiki7MeaxzLwicjlwOcC8efOKZlMgEMDn83l6mmwgEBjdzsmrVIKGtPPk5VHYYDCIiHhaQ3p9eywWK7cpeeOGNfpf/vIG2tv7AcF6F5vt98GkfXfrRYKVtq2tgc98ZsWkdb/yyit8/vOf5+ijj+a6667jpz/9Kb/61a/4/ve/z5IlS7j22mu54447OOecc/jTn/7EPffcg8/no7+/n4aGBk455RTe/OY387a3vQ2AD33oQ1x33XUsXryY5557jptuumn0pX1HRwc///nP8fl8/Pa3vx214Ytf/CLnn38+73jHO/jNb37Dl770Jf7jP/4ja55CKFlrZ6y5Ox3r7fyTInKPMSZzKt7omjsReQ/Wmrt3A93AucaY3SKyGngA620+wP8DPgI8geXovx34PXAN8CdjzJftQD7XAJM/1RURr+xXnQ3V4A5UgztQDe4g/SZ7Kpg/fz5tbW0ArFy5kt27d3PFFVdw2WWXOS6rvb2dnTt38pnPfIaOjo5x0/z+97/nrLPOKsjmCmAXsDDj/wX2sfHS7LTX4DdiDRCMYozZKCKDwGrgKWPMLvt4p4jchbVE4LExeW4DbgNYtWqVSSQSWbekTJ9LOywT/U7HxhjPsUk7/5OVkf5dDHvyKWNwcHDc4+PhVk0TafCSpvRLilztcKOmsWmdluEGTX6/n1gsRjKZLMrnUg5NmRpK0dYTaRp/TbrJ8ffYssYr47V6xvud/nvOnDkcffTRAJxzzjl873vfY/78+SxevBhjDOeddx6//OUvec973kNVVRXXX389b37zm3nzm988qiH9Mzw8zLp167jqqqtG6xgZGRmt621ve9voSHumPc899xy33HILqVSKc845h2984xuT5hn72xgzWtdklPK1TiFr7p7NSLMeCNuj/81AgzFmrV3mT4F3YDn65wNvsfP8BHiUKXb0vfzmPo1qcAeqwR2ohvIwduTd7/dP2UhQejpcut5YLMaPfvSjvEb0n3vuOdavX88ZZ5xBMplk3759XHbZZfzoRz8CrIenhx56iDvuuKP4QrzFk8AyEVmC5dC/B3jfmDT3AJcAjwMXAQ/bs/mWADvs6fyLgDZgm4jUAj5jzID999uAG6dIT0WshVUN7kA1uAPVUBxyGXnPRiFr9McuB6ivr6e3t/egdIFAgNtvv521a9fy4IMPcvvttx+0vC6VSlFfX8+vf/3rcesKh8NZ7RhvaUK2PPlSSke/oDV3GWkuBJ4xxsREZL5dTmaZ6ZH+VmPMHvvvvUBrUVQ4IBKJTHWVRcdLGowx7BnYQ1O4iZpgzejxXDVIKk4gupd4eB6Iu7a+yllDPE5g717i8+aBy7bv8lJfmgjV4A7KPe32sssuy2tE/93vfjfvfve7Adi9ezcf//jHR518gLVr17JkyRLmzJlTNFu9iH3/vxJr9p4f+KExZr2I3Ig1Mn8P8APgZyKyFdiP9TIA4A3ANSISB1LAx4wx3SJyKHCX/TAVAH5hjPnDVGny4gu2saiG7KRShv37R5g1q7RxULQd3IFqcAeFzO7bs2cP69atY82aNdx///2sWrWKX/3qV2zfvp1DDjmEe++9l+OOO47h4WEikQhvetObOProoznzzDMBqK2tHZ2tVVdXx/z583nggQc444wzMMawefNmli9fntWGNWvW8Pvf/55zzz2X++67j2OOOSZvPbng6mB8IrIKazr/25zks9/yj9sTxq7Ha2lpoa+vj9raWgKBAPv376e5uZloNEoqlaKmpobe3l7q6+vx+Xz09vYyY8aM0YfncDhMT08PTU1N1NTUsGfPHpqamhgeHsbn8xEKhUbLTCQSDA0N0djYyNDQEIFAgOrq6tHz8XicSCRCQ0MDAwMDVFdXU1VVNXp+ZGSEWCxGfX09/f39hMNhgsHg6PlYLEYikaC2tjZvTY2NjYyMjIxqSqVSDAwMuEpT11AX1917HX979W/sG96HX/ysnLOS9695PxefdDENDQ3s2rVrwnYK7H6M8LqvEu59AUnFSAVqibecxO7D/pnaxa9zRTs1NDQwMjIyYTuF/vY3ZnzrWwSeeQbfyAip2loixx5L9IYbGFiyxBXt1NjYyI4dO/K+ntzQ9+rq6ojH40X7jiiHpqamptF2KMZ3RKk0JZNJRASfz4eIkEgkRtfXpgP7pIP8jD2fGTRo7Pn0S4Kx59PTGDPPp9+wp4+nj/l8Pnw+3wF1pgMmpYMXnXbaaQwODpJIJHjkkUe47bbbOPzww0frTK+LzMz/wAMPcNZZZ+H3+yfUFI/HaW5uPqCdKhFjzP1Yy/Eyj12f8XcUeOc4+X4G/Gyc4y8DRxXf0txww8hZoaiG8RkeTvDZz77A2rX7GBxM8IEPLObqq5eXLGiotoM7UA3uoJAR/cWLF/PLX/6S66+/nsMOO4xrrrmGI488kquuuopEIsHq1at517veRV9fH5/4xCeIxWIYY/g//+f/AHDmmWdyww038Itf/IJvfOMbfPnLX+amm27itttuI5FI8Pa3v31SR//aa6/luuuu40c/+hHNzc184QtfcP4hOEBKte5RRF4H3GCMOcP+/1oAY8yXMtI8YKd53F5ztxeYbTvqC4CHgcuMMX+1088FHjHGtNn/vxd4izHmChHZZP+9x073qDEm66e9atUqU8wpk+Fw2POjZ27XcG/7vXzpkS8RT8U5Y9kZrG5dTfdwN49te4yNnRt5w6I38O/n/Ts1vpqD8koyxtz2r9C881eMhBfQ33oqsZpDCA1sobHjj/jj/XQeejldh10BMnEEy6lgonaQWIy5X/kKzb/6FSMLFtB/6qnEDjmE0JYtNP7xj/j7++m8/HK6rrgCskThnArc3pdyQTVMHSMjIwdMm89kKtfol4p8NYz3uRxxxBFPmyneF346UMxngvSLnWzrXt2OahifL31pA7ffvp0LL1zA0FCS3/9+D5/61OF88IOHFq2OTLQd3IFqyJ9s9/epYteuXVx55ZXcddddZbWjGDh5LijliH4ha+6agPuAa9JOPoDtxPeLyElYwfg+AHx7TFlftn8XJ1yhA6qrqz3xQJ0NN2u4e8PdXPfgdRwz7xi+cPoXOKTpkNFzHzvpY9z+3O1886/f5IO/+iD/9Y7/or66/rXMJsmC5z9DY+ef6Fp8KZ1LP47xv7ZlVufSjzO3/Uu0vvRdfMlhOpZfRTkZtx0SCRZ++tM0PPwwXZdeSufHP47J2Par8+MfZ+6XvkTrd7+Lb3iYjqtcqMFjqAZ3kB6N9zKVoEHJHb+9lMrLToFqOJhnn+3h9tu38973HsK1164klTKA4ZZbNrNqVSMnnjizKPVkou3gDlSDOyhkRN8tTKWGkg35GWsf2/Sau43Anek1dyJynp3sB8BMe83dv2JFysfOtxS4XkTW2T8t9rmPAd8HtgIvYQXiA8vBP11EtgCn2f9PKeV+W1UM3Krh0Zcf5YaHbuDkQ07m+//w/QOcfACf+Hj/mvfzH+f8B5u7NvOJez9BLGFvgWIM8zZ8gcbOP7G77Ro6ll91gJMPkKxqYucRX2bfIe9j9rYfM+uVH06VtHE5qB2MYd5NN9Hw8MPsvuYaOq666gAnHyDZ1MTOL3+Zfe99L7N//GNmZawFLgdu7UtOUA3uoFRTYqeSStCg5E4qlSp7bIlCUQ0HkkikuP76F5k3L8y//MvhAPh8wk03HcnMmVX87GfbilLPWLQd3IFq8Dbz58+viNF8p5R0jX4Ba+5uAm6aoMynsLbOGXt8H3BqgSYXhBf3qx6LGzXs7t/NZ/7wGdpmt3HL2bcQ9I+/HzXAyYtO5ktnfImr77+aW/56C9e8+Rpm7LqL5p2/ofPQj7B/0fsnrkiEPW2fwT/Sw5zNtxBpPIKh5uNLoGhyxrbDjLvuovk3v6HzIx9h//sn0XDNNfh7e5nzjW8wvHo1w8e7Q4MXUQ3uwMujD2kqQYOSO5XwYkc1HMjjj+9j27Yhvv71NdTUvPb4XFXl48ILF/Jf//USO3cOs2DBwUsHC0HbwR2ohsIwxlTEZ1hunM4CKO8i3gqjEoIkuU2DMYbP/+nzGAz/fva/U1M1+Q304tdfzHuOfA+/WPcL2l/9E3M2fY3BGcfTufTKySsUH7tWf55YeCHzX7weSQwXQYVzMtsh0NHBnK99jcHjj6fzyhw0+Hzs+vzniS1cyPz/+3+RMk3bdltfygfV4A7S6wq9TCVoUJTpzH337aa+PsApp7QcdO6d71yIzyfceeeOcXIqyvRGREilUp6ebu8G0oF8nbww0SePIjIyMlJuEwrGbRru3nA3f9v+Nz77ls8yv2H+5BmwNHzq9Z/isVf+lxnrroWaFLtXfz7nAHvGH2bX6s9z6JMfpHXrrext+3QhEvJitB2MYd6NNyLJJLs///mcA+yZcJjdn/88Sz74QVq//W32frqMGjyManAHlfBwUAkalNyphPZWDa8xPJzg4Yc7OeusuVRVHXwfnjMnxCmntHDXXTv5+MeXUl1dvO1utR3cgWrIn0AgQCKRKEqcmum+Rl9EHA0cqKNfRGKxWLlNKBg3aRiMDfKNv3yDY+Ydw7uOfFfO+WKxGDVVNfzwxAs5deet3BV6I8tqFjqqe7j5ePYtfDczX/1vehZcSKzuMKfmF0S6Heofe4yGxx5jz6c/zchCZxqGjj+efe96FzP/+7/pufBCYoeVR4OXUQ3uoBLWFFaCBiV3fGXe9aQYqIbXePTRTiKRJGefPW/CNO9610IeeqiDxx7r4vTT5xSlXtB2cAuqIX9EZHRrv0Kprq4GvP1sM5UavN9rXUR9ff3kiVyOmzT8fN3P6Y328uk3fRqfg+3u6uvrwaR4U99D7EyF+ND6Z+mP9Tuuv3Ppx0n5w7Rs/a7jvIVSX18PqRQtt95KbOFC9r3nPXmV03nllaRCIVq+WyYNHkc1uIN0pOBSs2vXLi644ALH+Xp7e/ngBz/ICSecwM0333zAucsuu4xzzz2Xiy66iIsuuoh9+/YBcPfdd/OmN71p9PhvfvObomhQ3EEymfT8Lguq4TXuu28Pc+aEOPbYGROmOe64ZurqAvztb90F15eJtoM7UA3uQDU4Q0f0i0h/v3Nn0m24RUNftI+fPPMTTj3sVFa1rnKUt7+/n4aOBwkPtLNryZX0bL6Vnz7zU658XQ7r2zNIVs1g3+KLaXnpP+nq30i0YYWj/IXQ399Pw4MPEm5vZ8cXvwh5vglNzpjBvosvpuV736Nr40aiK6ZWg9dRDe7A7Tf1qqoqrrzySrZu3cqWLVsOOv/lL3+Z1atXHzRN74wzzuCzn/3sVJmpTCG657Y7KIaGwcEEf/tbNxdfvBifb+K1scGgjxNOaOZvf+suauAxbQd3oBrcgWpwho7oF5FwOFxuEwrGLRp+/PSPGRoZ4mMnfcxx3nB1FS1bv0O09lBql3+Y05eezs+e/Rk9kR7HZXUvuphEoIGWrbc6zlsI4aoqWr7zHaKHHkrfWWcVVFb3Bz5Asr6ellunWINL+lIhqAZ3MJXTDZPJJDfccAPveMc7uPzyy4lGo5Pmqamp4Zhjjsm6lWElTPtUcicejxOPx8ttRkGoBotnn+0hkTCcfPKsSdOefPIsdu+O8uqrxQvkq+3gDlSDO1ANztAR/SJSrPUn5cQNGoZHhvnl87/kbcvexuGzDnecv7bjYUJDr7D9yK+B+PnYSR/jwa0Pcsfzd/BPJ/6To7JSwQb2Lb6E1q3fpnpwK7G6pY7tyYfahx8m9MorbP/a16DAacuphga6L7mE1ltvpXrrVmJLp0aDG/pSoaiG8jBn41cID7SP/i8iBQfeidS3sXfFZyZNt337dr761a9yww03cNVVV/Hggw/S3d3Nfffdd1DaY489lmuvvXbSMj/3uc8RCAQ49dRTueKKK0ZH+h566CGefvppFi9ezKc//WnmzCneul6lvKSvO7fPRsmGarB48sn9BALCUUc1TZo2/TLgb3/rZvHi2rzrzETbwR2oBnegGpyhjn4RqYT9qt2g4Z6N9zA4MsgHjvlAXvmDL36PkdAc+ltPA2DpzKW8ftHrufOFO/nQcR8i6Hfm+Oxf+E5mv3wbzdtvZ8/K6/KyySnB732PkTlz6D/ttKKUt/9d72L2bbfRfPvt7LluajS4oS8VimpwB1MZXXf+/Pm0tbUBsHLlSnbv3s0VV1zBZZddlld5X/7yl2ltbWVoaIhPfepT3HvvvZx33nm85S1v4ayzzqKqqoo777yTz372s/zgBz8ophSljHh9xAlUQ5qnn97PEUc0Eg5P/tJ94cIaFi6s4W9/6+Z971tUcN2g7eAWVIM7UA3OUEe/iDQ3N9PZ2VluMwqi3BpSJsUvnvsFq1tXc+ScIx3nrx7YQu2+texd9i/ge617v++o9/Hxez7OQ1sf4szlZzoqM1k1g765ZzFj9710LPsEqWCjY7ucUL1lC7Vr17L3k5+EIu29nZwxg76zzmLGvffS8YlPkGosrQYof18qBqqhPIwdeU9vzTMVZE6/9/v9xGIxfvSjH+U9ot/a2gpAY2MjZ511Fi+88ALnnXceTU1No2kuvPBCbrnlluIIUFyBjjq5g0I1DA0lWL++nw9+cEnOeU4+eRb33LOLeDxFMFj4kh1tB3egGtyBanCGOvpFxMtbPaQpt4a129fySs8rfPGML+aVf+b220n5q+lZcOEBx9+w+A0sbFzIL577hWNHH2DfIe9jxq67mLHrbvYtviQv23Jl5u23k6qupufCCydP7IB973sfM+6+mxl3382+S0qrAcrfl4qBanAH5d4v97LLLstrRD+RSDAwMMCMGTMYGRnhscce46STTgKgq6uL2bNnA/Doo49y6KGHFtVmpbzoqJM7KFTDunU9JJOG445rzjnP6143kzvu2M7zz/dy7LG555sIbQd3oBrcgWpwhjr6RcTLESDTlFvD7c/dTnO4mTOWnuE4ry8+QNOe3zG04DySVQdugeMTH+896r189bGvsqFzAytbVjoqO9rQxtCMY5i5/Xb2LboYHGz35wTfwABNv/sdQ+efTzJjxK8YRFesYOiYY5j5y1+y7+KLocTBwcrdl4qBanAH5Xb0c+GMM85gcHCQeDzOww8/zG233cbcuXO54oorSCQSpFIpTjrpJC60X+D993//N48++ih+v5/Gxka+8IUvlFmBUkx01MkdFKrhqad6CASENWuacs6TTvvii31FcfS1HdyBanAHqsEZ6ugXkdraWoaGhsptRkGUU0P3UDd/3vZnLjnmEqoCE0evnojGjj/iS0aIr/wgpA4+f96K8/jmX7/JPRvvcezoA+xf8E4WvnAtNT1PM9x8vOP8udD4xz/ii0SI57keeDL2X3QRC//t36h55hmGjzuuJHWk0evBHVSCBp/PRyo1zkVdZObPn89dd901+v+ll16ac94HHnhg3ON33nkncPDyg09+8pN88pOfzMtOxf3oqJM7KFTDk0/uZ9WqRmpqcn9cnjmzmnnzQrz4Yl9BdafRdnAHqsEdqAZn6H4/RaSvrzhf6uWknBp+v/n3JE2S81acl1f+pt33EK1dwr7A+FNgG0ONvOXQt3D/pvuJJ51fZP2tp5L01zBj97152ZcLTffcQ3TJEvaVaBpv/6mnkqypoene0mlIo9eDO6gEDV5+c5+mEjQouRMMBj2540Um011DLJZk/fo+jj12xuSJx7BqVWPRHP3p3g5uQTW4A9XgDHX0i0htbXG2Uikn5dRw78Z7WdWyisNmHuY4b3B4B7U9z9A77zxq6+omTHde23n0RHr466t/dVyH8Yfpn/M2Gvb+EUlGHOefjOCOHdQ+8wy952XXUAimpob+00+n8YEHkBz2By8EvR7cQSVoqIQ96CtBg5I7utezOyhEw9atgyQShlWrnAevXb26kZ07I/T0jORVdybTvR3cgmpwB6rBGfrkUUQCRYqQXk7KpWFz92Y2dm3k3BXn5pW/affvMAh9c8/OquHkRSfTHG7mno335FVP77zz8CeHaOh8JK/82Wj63e8wIvSdnV1DofSedx7+oSEaHim+hkz0enAHlaAhve+8l6kEDUru6KiTOyhEw8aN/QCsWNHgOO8RR1gvB9avL3xUf7q3g1tQDe5ANThDHf0iUgn7VZdLw+/af0fAF+DMw51HxMcYmnbfy1DzCcTDc7NqCPqDnLX8LB595VH6os5vwEMzjmUkNJemXfm9KJgQY2i6916GTjiB+NzsGgpl6LjjGJkzh6bf/rZkdYBeD26hEjRUQkDBStCg5E4ymfT8co3prmHjxn7q6wMsWBB2nHflykZEKMr0/eneDm5BNbgD1eAMdfSLSHNz4dFVy005NBhj+MPmP3DyISfTXOO8/lD/BqojO+idezYwuYZz2s4hnozz8EsPOzdWfPTNPZu6/Wvxj/Q6zz8BoQ0bqN6xg96zc9NQED4ffWefTd3atfh7e0tWjV4P7qASNFTCrIRK0KDkjs/n8/xyjemuob29n7a2hrxm49TWBliypLYojv50bwe3oBrcgWpwWNeU1DJNiJZ4zfNUUA4N6zvWs2dgD6cvOz2v/I0dD2LEz0DLKcDkGla2rGRe/Twe2vpQXvX1tZ6GmCT1RZy+3/jggxi/n4FTctNQKH2nn44kk9SXcPq+Xg/uoBI0TEXE/VJTCRqU3DHGeGJbyGxMZw2JRIpNmwbymrafZvVqKyBfoZ/hdG4HN6Ea3IFqcIY6+kWkEh7kyqHhwa0PEvAFOOXQU5xnNoaGjocYaj6eZFUTMLkGEeHUpafy+I7HGYwNOq4y2rCSkfB8GjsedG7veBhDw0MPMXTCCSSbmoDSt0N05UpG5s2j4aH8Xnbkgl4P7qASNEwVu3bt4oILLnCcr7e3lw9+8IOccMIJ3HzzzQecu//++7ngggu44IIL+Kd/+id6enoAazeEj3zkI5x99tl85CMfqYjdERSlUnjllSFisRRtbYU5+vv2jbB3r/dftiqK4k3U0S8iNTU15TahYKZagzGGh7Y+xPELjqcx5DyybfXgFqqHX6Wv9bXZALloOH3p6cSTcf73lf91XCci9LecSu2+x/HFB5znH0P1li1Uv/oqfaedNnqs5O0gQv9pp1H3+OP4Bp2/7MgFvR7cQSVocPs0vaqqKq688kquvvrqA44nEgm+8pWv8MMf/pDf/va3HH744dx+++0A/OAHP+DEE0/kvvvu48QTT+QHP/hBOUxXSoSIeD4A43TW0N5uBeJbuTJ/Rz89G2Dz5sKeE6ZzO7gJ1eAOVIMz3P305DF6S7jeeaqYag2buzezvW87py09bfLE49DY8RAGYaDlraPHctFw1NyjmF07u4Dp+6fjMwnqu/J4UTCGxocewojQ/1ZnGgql7/TT8cXj1P9v4RrGQ68Hd1AJGqYy8E4ymeSGG27gHe94B5dffnlOSx9qamo45phjqKqqOuB4enpeJBIhkUgwODjI7NmzAXjkkUc4//zzATj//PN5pMS7YChTSyqV8vxsmumsYcOGfkIhH4sX57896WGHWdvkbtlS2Mv06dwObkI1uAPV4AyNDlRE6uvr2bdvX7nNKIip1vCnl/6EILz10LdOnngcGjoeYnjG0SSqZ40ey0WDT3y89bC38tsNv2U4PkxN0NmoZ6TpSOLVLTR0PETfvHPysj1Nw4MPMnzMMSRnOdNQKJEjjyTe0kLDQw/RZwcBLCZ6PbgDL2qY85WvEG5vf+2ACBS4ni3S1sbez3xm0nTbt2/nq1/9KjfccANXXXUVDz74IN3d3dx3330HpT322GO59tprJywrGAzyuc99jn/4h38gHA5zyCGH8NnPfhaAffv2jTr9s2bN8lwbKdnx+/0Ant7veTpraG/v5/DD6/H78x91q68PMmdOiK1bCxvRn87t4CZUgztQDc5QR7+IuH16aS5MtYZHXn6Eo+cdzazaWZMnHkNweCehwS3sWf5/Djieq4bTDjuNO56/gyd2POE8PoD46G85hRm770GSMYy/2ll+m+COHYS2bmXPpz99wPEpaQefj/5TTmHGPfcgsRimOj8NExev14MbqAQNAkxV6J358+fT1tYGwMqVK9m9ezdXXHEFl112meOy4vE4d955J7/61a9YvHgxN954I9///ve54oorDkjn9WmIysF4+SE0zXTVYIxh06YBzjxzbsH1L11ax0svFTaiP13bwW2oBnegGpyhjn4RqYQpslOpoWOwg/audj75+k/mlb++6zEABma/+YDjuWo4dv6x1FbV8tgrj+UVCHBg9puYueMOanueYnDW6x3nB6j/85+tst6cn4ZCGXjTm5h5xx3UPv00gyefXNSy9XpwB17UMHbkXUSmLEJt5vR7v99PLBbjRz/6UV4j+ps2bQJg4cKFpFIpzjjjjNG1+DNnzqSrq4vZs2fT1dXFzJkzi6xEKSfBYBCY2mUnxWa6aujsjDEwkGDp0rqC61+2rJ6//30/iUSKQCC/l67TtR3chmpwB6rBGeroF5EZM2bQ2dlZbjMKYio1/Hmb5eS+afGb8spf3/0YsZpFjNQuOuB4rhqC/iCvW/g6/rztzxhjHI+qDTWfQMpXTX3XY/k7+o89RmzRIkYOOeSA41PVDkPHH0+qupq6xx4ruqOv14M7qAQNfr+fRCJRtvovu+yyvEb0W1paeOmll9i/fz8tLS08/vjjHHrooQC85S1v4be//S0f/vCH+e1vf8spp+Sx64jiWnTUyR3ko+Hll60R+PQa+0I47LA6RkZS7NgxzJIl+ZU3XdvBbagGd6AanOH9OZ0uIhKJlNuEgplKDY+98hhz6uawdOZSx3klMUzt/icZmPXGg8450fDGxW+kY7CDzd2bHdtg/CGGmk+wZhbkMdoow8PUPvkkA28sTEMhmHCYoRNOoP6x/DRkQ68Hd1AJGrwQeOeMM87ga1/7Gr/97W859dRTeemll2hpaeGjH/0ol156Keeffz6bNm3iIx/5CAAf+tCHWLt2LWeffTZr167lQx/6UJkVKMUkGAyOjtp4lemqIe3oH3po4Y5+elbA1q35T9+fru3gNlSDO1ANztARfaUsjCRGWLtjLee2nZvX+tS6/U/iS40wMPtgJ9kJb1xi5f/ztj+zfPZyx/kHZr+J+u4/UzW8jZHaJY7y1v397/hGRhh4U34zGorFwJvexLw//5mqbdsYWeJMg6JUEvPnz+euu+4a/f/SSy/NOe8DDzww7vF3vetdvOtd78Ln8x3wwqKpqYnvf//7eduquBsddXIH+Y3oD1FfH2DmzKrJE0/CoYfWIWI5+qefPnn68Ziu7eA2VIM7UA3O0BH9IhIOh8ttQsFMlYandj1FJB7Je9p+XfdjJP1hhpuPO+icEw2za2ezomUFj73yWF52DMy27E/HC3BC3Z//TDIcZvjYYw86N5V9KT2jIB0voFjo9eAOKkFDJQQUrAQNSu7oqJM7yHdE/7DD6ooSJDMc9rNgQY2O6KsGV6Aa3MFUatAnjyLS09NTbhMKZqo0/Hnbn6n2V3PCwhOcZzaG+q4/MzTzdRjfwW/cnWp40+I38dze5+iN9Do2JR6eR7RuKfVdDp1kY6j/858Zet3rMFWFayiE+Pz5RA87zJq+X0T0enAHlaDBy0F30lSCBiV34vG450eepquGl18eKsq0/TRLl9YVtMXedG0Ht6Ea3IFqcIY6+kWkqamp3CYUzFRpeHz74xw7/1jCQeejjVXD26iK7mFgggB4TjW8YdEbSJkUf9/5d8e2AAzOej01Pc8gydzXQle98gpVe/Yw8PriaCiUwde/nppnnkGKuJ5brwd34CUNE0XWT+8562Xy0TBVOw0oxUdHndyBUw09PSPs3z/CoYfWFs2GpUvr2L59mJGR/GKNTMd2cCOqwR2oBmeoo19EvBAwajKmQkPHYAcv7X+J1x3yurzy13U/DsDgzPHzO9Wwes5qaqtqeXz743nZMzjzdfhMnNqeZ3LOU7d2rZX3dcXRUCiDr3sdvnic2mefLVqZej24A69oEBFSqdS4zm0lOLxONRhjSKVSRZk+rEw9OurkDpxqKGYgvjRLl9aRSBhefXUor/zTsR3ciGpwB6rBGRqMr4gMDOQ/NcstTIWGJ3Y8AcBJh5yUV/66/WsZCc8nXrNw3PNONQR8AY5fcDxrd6zNy56hpqNJSZDafWtz3mavbu1aRubPJ76wOBoKZeiYY0gFg9SuXVu0bfb0enAHXtEQCARIJBLjTnEXEc87+/loEBECAb1NexHd69kdONXw8suWM17MEf3Fi62yXn11iGXL6h3nn47t4EZUgztQDc7QJ4gi0tTU5Pn9qqdCw9rta2kON3P4rMOdZ04lqN3/JH1zzpgwST4aTlp4Eo++/Cg7+nawsHF853siTKCG4aY11O1bS0cuGRIJap98kr63v33CJFPdl0xNDcNr1lD3+OO5acgBvR7cgVc0iMiEU9laWlo8oSEblaBByZ1EIlFuEwpmOmp4+eVBwmE/c+cWL4jpokVpR384r/zTsR3ciGpwB6rBGTp1v4gMD+f3Je4mSq3BGMPaHWs5ceGJ+MR59wv3v4g/MTjhtH3IT0N6GcHa7XmO6s96HeGBdvyxfZOmDb/4Iv7BQQZPmnhGQzn60tBJJxFub8e/f39RytPrwR2oBndQCRqU3PH7/Z6PLTEdNbz88iCLF9fi8xVvyUxtbYBZs6rznro/HdvBjagGd6AanFFSR19E3i4im0Rkq4hcM875ahG5wz7/hIgsto/PFJFHRGRQRG7NSF8vIusyfrpF5Jv2uUtFpCvj3IdLqW08KmH7pFJreGn/S3QNdXHSwjyn7e9bi0EYap44Wn8+GpbMWEJLXUve0/cHmy09dfsnD+hX9/jjGBGGTjxxwjTl6EvpeAF1TzxRlPL0enAHqsEdVIIGJXdSqZRn4mNMxHTUYEXcL960/TSLFtXkPaI/HdvBjagGd6AanFGyJw8R8QPfAc4EVgLvFZGVY5J9COgxxiwFbgG+Yh+PAtcBV2cmNsYMGGPWpH+AV4H/yUhyR8b57xdd1CSEQqGprrLolFpDesQ87/X5+9YSbWgjWTVjwjT5aBARTlp4Ek/seIKUcX7xRRpXkgzUU7tv8hcFdWvXEl2xgmSWaOjl6EuRlStJ1tdTuza/lx1j0evBHagGd1AJGpTcERHPB1Kcbhqi0SR790ZH19QXk0WLavMe0Z9u7eBWVIM7UA3OKOUQwwnAVmPMy8aYEeCXwPlj0pwP/MT++9fAqSIixpghY8xfsBz+cRGRw4EWwOEG5qVjf5GmPJeTUmt4YucTLGxcyLyGeY7zSjJCuPe50dHzichXw0kLT6Iv2semrk3OM4ufoebjqduffTRchocJP/88g1lG86FMfcnvZ+j444s2oq/XgztQDe6gEjQoSiWzc6c14n7IITVFL3vRohr27RthYMDb0cIVRfEWpXT05wM7Mv7faR8bN40xJgH0ATNzLP89WCP4mWGMLxSR50Xk1yLiLKJaEWhubp7qKotOKTUkU0me3vU0xy84Pq/8Nb3P4TMJhpqPy5ouXw1pu57a9VRe+Yeaj6cqsotgZM+EaWqeew5fIsHQ8dk/g3L1paHjj6dq1y6CeybWkCt6PbgD1eAOKkFDKSlgqd8JGUv2nhORC3Its5QYYzy/U8R007B9e9rRL82IfmYdTphu7eBWVIM7UA3O8HLU/fcAF2f8fy9wuzEmJiJXYM0UeOvYTCJyOXA5wLx582hpaaGvr4/a2loCgQD79++nubmZaDRKKpWipqaG3t5e6uvr8fl89Pb2MmPGDCKRCADhcJienh6ampqorq6mqqqKpqYmhoeH8fl8hEKh0TITiQRDQ0M0NjYyNDREIBCgurp69Hw8HicSidDQ0MDAwMBoeenzIyMjxGIx6uvr6e/vJxwOEwwGR8/HYjESiQS1tbV5a/L7/bS0tIxqSqVSDAwMFEXTE1ufYCA2wKkrTyUQCDjW5H9lHUZ81C47g+hgfEJNoVCIYDA4YTtNpCkQCLCoeRHPdz5PdXW143YaGj4J2mF2bAM9zYeOq6ll40aM3w+vf33Wvpduh1z7XrHaqfqMM+ArX2H2hg0kjjqqoL4XDodH2zmf66mYfS/f68nn8xX1O6IcmjLboRjfEeXQJCK0tLSU7HtvKjRltkOh3+WVRsZSv9OxBgWeFJF7jDEbMpKNLvUTkfdgLfV7N/AicJwxJiEic4HnRORewORQZsmohJgM003Djh2WE75wYWlG9MHaYm/VqkZHeadbO7gV1eAOVIMzpFRvFETkdcANxpgz7P+vBTDGfCkjzQN2msdFJADsBWanR+lF5FKsG/iVY8o+CviVMWbc/dnsh4b9xpis36arVq0yd9xxR74SD6K6uppYLFa08spBKTX87Nmf8dXHvsqDH3yQOfVzHOdf8vdLkGSMl1/3y6zpCtFw3YPX8cjLj/DY5Y853xXApGh7+I0MtJ7KrtU3jptkySWXICMjvHz77VmLKltfSqVoe+Mb6T/tNHZ//vMFFaXXgztQDe6gmBqOOOKIp40x2ac2eYhiPC/YaZYAa7FmCx4/WZljKeYzQSBgjaN4eSuo6abhC19YzwMP7OUvfzm16HbEYkmOP/5BPvrRpXz0o0sd5Z1u7eBWVIM7UA3jM9FzQSlH9J8Eltk33l1YI/DvG5PmHuAS4HHgIuBhk9ubh/cCB3hKIjLXGJOeb3wesLEA2/OisbHR8/skl1LDU7ueYkHjgrycfElGCfe+wL5F7580bSEajl9wPHdvuJst3VtYPnu5QyN9DDcfS83+8af+SzRK+IUX2PeP/zhpUWXrSz4fw8ceS+2TTxZclF4P7kA1uINK0FBCxlvqNzaQyQFL/UQkvdSvW0ROBH4ILAIuts/nUuYB+Hw+AoEAfr+fVCo1GizJGIPP5yOZTBIIBIjH4wSDway/a2pqSKVSxOPx0SmaIkIqlcLv9+dURjAYJJFIFGxPvmXU1tYSj8cPOJ9MJvH5fJ7RNJ6Gsb/TmnbsiLBoUS3V1dVF1xQKhZg3L8yOHdaMPSdlhMNhR33Pje0UDAYREWKxWF7Xkxs0+Xw+gsEgQ0NDRfmOKIemtIbBwcGit/VUaQoEAgQCgYM0lKL/lkpTOjhvNBot2vfehPe1bDe9QrDX3F8JPIDldN9pjFkvIjeKyHl2sh8AM0VkK/CvwOgaOhHZBnwDuFREdo6J2P8uxjj6wCdEZL2IPAd8Ari0BLKyMjSUX0RVN1EqDSmT4uldT3Pc/PwGoWp6n8dn4gzPmDx/IRrS9uW9Tn/GcVRHdhCI7j3oXM3zz+OLxxk6rrQaCmXouOOo3rGDQEdHYeXo9eAKVIM7qAQNbsUY84QxZhXWKP61IpLzFgcicrmIPCUiTxUzYGIikSAe93bgtUQi4elRM3CmYfv2odG19KXAirw/6DhfPB73fDtUgobpdj24lUrQMJXXQ0nX6Btj7gfuH3Ps+oy/o8A7J8i7OEu5h45z7Frg2nxtLQbpqRheplQatnRvoS/al7ejX9vzFAZhaMbRk6YtRMO8hnnMb5jPUzuf4v1rJp89MJahZivIXu3+p+ibd84B52qfegrj8zF8dGk1FEo6UGDtU0/Rd/bZeZej14M7UA3uoBI0lJBdQGYA3QX2sfHS7LSn7jcC+zITGGM2isggsDrHMjHG3AbcBtbU/ckeItPnkslk1t/pEZdo9ODNg9IvACYrI/27GPbkW4bP5xvVkD4+Hm7WNJ6Gsb9HRlLs3h3hvPNCo0tsiq3pkENquO++3SQSCUdl+P3+A/pSrvaMR7naKRQKYYxhZGQkrzLcoCkUCpFMJid1NN2sKa0h/ZNPGeXWlE2DVzT5/X6MMQe8DC7G9954eD+igYuorq4utwkFUyoN6RHy4xbk6ejvf5JoQxupYMOkaQvVcOz8Y3lq11OkTMpx3mj94SQD9dSOM32/9skniba1kaqvn7Sccval6OGHk6yvL3j6vl4P7kA1uINK0FBCRpf6iUgV1lK/e8akSS/1g4ylfnaeAICILALagG05llky4vG450f0p5OGnTuHMQYWLizdiP7ixTUMDCTYv39k8sQZTKd2cDOqwR2oBmeoo19EKmGf5FJpeHrX08ytn8v8hrE7LE6OpEYI973A0Ixjc0pfqIbj5h9Hb7SXbT3bnGcWP0Mzjqam95kDD4+MEH7hBYaOnRoNBeH3M3T00dQ8+2xBxej14A5UgzuoBA2losClfm/AirS/DrgL+JgxpnuiMqdKUzAYJBgMTlV1JWE6aUhH3D/kkOJH3E+Tjua/c2fEUb7p1A5uRjW4A9XgDHX0i0glbHtUCg3GGJ7d/SxHz5t8yvp4hPo34EvFGG46Jqf0hWpYM28NAOt2r8sr/3DT0YSGXsE/0jt6LLRhA75YjOFjpkZDoQwffTShl1/G39eXdxnl1lAMVIM7UA2VjzHmfmPM4caYw4wxN9vHrjfG3GP/HTXGvNMYs9QYc4Ix5mX7+M+MMauMMWuMMccYY+7OVuZUoaNO7iBXDen97Uvp6C9YkHb0hx3lm07t4GZUgztQDc5QR7+IeL3jQWk07OzfSfdwN8fMy83JHUtNzzoAhnNYnw+Fa1jctJjGUCPr9qzLK/9w01EAhPueHz1Ws84qa2jNmpzKKHdfGj7K1vDcc3mXUW4NxUA1uAPVoHgNHXVyB7lqePXVYerrAzQ1lU7vvHlhQEf0vYpqcAeqwRnq6BeRSMTZl7cbKYWG9Mj4mrlr8spf2/sssZpDSFTPyil9oRpEhDVz1+Tt6EcaV2PET03va/lrn3mG2CGHkJw1NRoKJbJqFcbvH31BkVcZej24AtXgDipBg5I7OurkDnLVsGPHEAsX1oxuWVUKQiE/s2dXs2uXjuh7EdXgDlSDM9TRLyINDZMHinM7pdDwzO5nqK+qZ+nMpc4zG0NN7zqGm9bknKUYGtbMXcMrPa/QF3U+dd34w0Tq26jptUfDjaFm3bqcou2nKXdfMjU1RJcvp6aAEf1yaygGqsEdqAbFa+iokzvIVcP27cMlnbafZsGCsI7oexTV4A5UgzPU0S8iAwMD5TahYEqhYd2edRw590j8Pr/jvFXDrxIY2c/wjNyn/RdDw1Fzranrz+3Jz9EdblpDTd8LkEpQtW0bgZ4eR46+G/rS8Jo11LzwAuS516cbNBSKanAHqkHxGpWw1/N00ZBMGvbujY6uoS8l8+fXOF6jP13awe2oBnegGpyhjn4RqYTtk4qtoS/ax9Z9WwtYn29Ffh9qyt1JLoaG1a2r8Yu/gHX6a/AlI4QGN1NrR68fcuDou6EvDa9Zgy8SIbR5c1753aChUFSDO1ANitfw+/34/c5fbruJ6aKhoyNKImFG19CXkgULwnR0RInHc9++d7q0g9tRDe5ANThDHf0iUlVVVW4TCqbYGtIj4vlG3K/tfZZEsImR2iU55ymGhnAwTNvstrxH9CP2UoOannXUPPssiaYmRpZMrYZCGbYDB+a7Tt8NGgpFNbgD1aB4jVQqRSqVuzPnRqaLhl27rKn08+dPhaNfQyoFe/bkPn1/urSD21EN7kA1OEMd/SJSCfskF1vDs7ufJeALsLp1dV75a3qftdbnOwiQUywNR809ihf2vkAi5Xx6TTw8h3h1CzW966z1+WvWlEVDIcTnzCHe0pK3o+8GDYWiGtyBalC8hoiUNLDbVDBdNKSD4y1YUHpHP/0ywck6/enSDm5HNbgD1eAMdfSLSCXsk1xsDc/vfZ7DZx1OOOj8BuqL91E9tG10u7pcKZaGNXPXEElE2Nyd39T14aY11Ox6lupt20a3q8sVV/QlEWudfp4B+VyhoUBUgztQDYqilIpduyKIwNy5UzOiDzhep68oipIP6ugXkZGRkXKbUDDF1JBMJXmx40WOmHNEXvlr+l4EINLoLH+xNKS3AyxknX7Vlr0ARI4oj4ZCGV6zhqrduwl0dDjO6xYNhaAa3IFqULyGMQZjTLnNKIjpomHXrggtLSGCwdI/Ere0VBMMiqMR/enSDm5HNbgD1eAMdfSLSCwWK7cJBVNMDS/vf5nh+DBHzjkyr/zh3ucxCJHGVY7yFUvDnPo5tNS1sG73urzyDzetge1gRIisKo+GQhldp5/HqL5bNBSCanAHqkHxGj6fD5/P249Y00XDrl2RKVmfb9kjzJ8fdjSiP13awe2oBnegGhzWNSW1TBPq6+vLbULBFFPDC3tfAChgRP8FYnWHkQrUOcpXLA0iwpq5a/IOyBdtaMNs95Fc0ECqrjwaCiXa1kaqujqvdfpu0VAIqsEdqAbFaySTSZLJZLnNKIjpomHXrsiUrM9PY22xl/uI/nRpB7ejGtyBanCGOvpFpL+/v9wmFEwxNTzf8TwN1Q0salrkPLMxhPtecDxtH4qrYc3cNewe2E3HoPOp60YCsENgkfPLzC19yQSDRFatymtE3y0aCkE1uAPVoHiNQCBAIBAotxkFMR00jIyk6OyMTtmIPljr9NOR/nNhOrSDF1AN7kA1OEMd/SISDk/djaJUFFPD83ue54g5R+AT592sangHgXgvw3k4+sXUkF6nn8+oftX27chQEt/cPiQZdZTXTX1p+KijCG3YgES9qyFfVIM7UA2K14jH48Tj8XKbURDTQcPevRGMsUbZp4oFC8L098fp68vts50O7eAFVIM7UA3OUEe/iASDwXKbUDDF0jA8MsxL+1/iiNb8pu2H+563ymlyvr6/mO3QNruNan91XgH5ws9bGnwLU4T7NzjK66a+NLxmDb5EgvAG72rIF9XgDlSD4jWCwaDn23w6aEhPoZ83b+pexKXr2rMnt1H96dAOXkA1uAPV4Ax19ItIJeyTXCwN6zvXkzKpgtbnJ/1hYnVLHectZjsE/UFWta7Ka0S/5oUXSIXDMAdqetc5yuumvpTeGtDpOn03acgX1eAOVIPiNXTUyR1MpiE9hX4q1+inHf3du3Nz9KdDO3gB1eAOVIMz1NEvIpWwT3KxNDy/1xrNztfRD/e9QLRhFYjfcd5it8NRc49iQ+cGYglnUbPDL7xAZNUqYnWHUNPr7EWBm/pScuZMYgsXOl6n7yYN+aIa3IFqULyGjjq5g8k07No1TCAgtLSEpsymuXOtunRE31uoBnegGpyhjn4RqYTtk4ql4YW9L3BI4yHMCM9wnFdSI4T62/Nanw/Fb4cjWo8gkUqwuXtzznkkFiPU3s7wkUcSaVxNuO9FR3W6rS9FVq8m/KK3NeSDanAHqkHxGjrq5A4m07B7d4S5c8P4/TJlNjU3VxEK+di9O7e4N9OhHbyAanAHqsEZ6ugXkUQiUW4TCqYYGowxPL/3+bxH80P97fhMnEge6/Oh+O2wunU1AC925O7ohtrb8SUSlqPfsJpgrJNArCvn/G7rS5HVqwl2dhLo8q6GfFAN7kA1KF5DR53cweQj+pEpXZ8P1ta9c+aEdUTfY6gGd6AanKGOfhGpra0ttwkFUwwNHYMddA11FbA+3w7El+eIfrHbYU79HJrDzY4c/Ro7EF/kiCOINFovCpyM6rutL0VW2xocjOq7TUM+qAZ3oBoUr6GjTu5g8hH9qd1aL838+WFdo+8xVIM7UA3OUEe/iPT19ZXbhIIphob0+vwj5+Q3Ih/ufZ54dQuJUGte+YvdDiLC6tbVrO9Yn3Oe8AsvEG9tJdHSQqShDSN+R46+2/pSpK0N4/M5cvTdpiEfVIM7UA2K19BRJ3eQTUMslqS7O8acOVO3Pj/N3Lkh9uzJbep+pbeDV1AN7kA1OEMd/SJSCSM2xdDwwt4XCPqDLJ+1PK/8NX0vMNx0VN71l6IdVreu5uX9LzM0MpRT+prnn2f4SOtFh/GHidYeRrgv9xcFbutLpqaG2GGHEV7vXQ35oBrcgWpQvIaOOrmDbBo6OixHe6qn7qfr3L9/hEgkOWnaSm8Hr6Aa3IFqcIY6+kUkEAiU24SCKYaG5/c+z4rZK6gKVDnO6x/ZT1VkJ5E8p+1DadphVesqDIYNnZPvJe/fv5+qXbtGHX3ACsjX/yIYk1N9buxLowH5PKzBKarBHagGxWvoqJM7yKYhPaKejoI/lcydG7ZtmHz6fqW3g1dQDe5ANThDHf0iUgn7JBeqIZFKsKFzQ/7T9u3p7fmuz4fStEM6IF8u0/drXngBsNbnp4k0riIQ7yMY2ZlTfW7sS8OrVxPo6yO407sanKIa3IFqULxGMpkkmZx8tNbNVLqG9Br5tNM9laRnEeSyTr/S28ErqAZ3oBqcoY5+EamEfZIL1bClewvRRDT/QHy9z2HET6RhZd42lKIdmmuamVc/L6eAfOHnnsP4/URWvqbhtYB8uU19d2NfiqxaBZDz9H03anCKanAHqkHxGj6fD5/P249Yla5h794oItDaOvUj+vPmWXXm4uhXejt4BdXgDlSDw7qmpJZpQjSaW2AVN1Oohhc6rNHsfB39cN+LROuWYgI1edtQqnZY1boqJ0e/5sUXiS5bhgm/NkoQrVtGyldFTX9uwezc2Jdihx9OKhikJseAfG7U4BTV4A5Ug+I1jDGYHJc5uZVK17B7d4RZs6qpqpr6R+HZs0MEApJTQL5KbwevoBrcgWpwhjr6RSSVSpXbhIIpVMOGjg00hhpZ0LDAeWZjCPevJ9KwuiAbStUOq1tXs6t/Fz2RnokTGUNo/frR0e9RfEGi9W05R953Y18ywSDRtracI++7UYNTVIM7UA2KohSbPXuiZVmfD+D3C62toZy32FMURckHdfSLSE1N/qPQbqFQDes717OyZSUi4jhvMLKLQLyPSGP+0/ahdO2Qyzr94M6dBPr7D5i2nybSuIpQ/wYwk6/LcWtfiqxaRWjDBshhbZFbNThBNbgD1aB4DRHJ6z7oJipdw969kbKsz08zb144p2B8ld4OXkE1uAPV4Ax19ItIb29vuU0omEI0xBIxtu7byqqWVZMnHodwvxXRPtKQX/40pWqHlS0rESTr9P3wBlvD2BF9INKwGn8yQvXQK5PW5da+FFm9Gn8kQvUr3tXgBNXgDlSD4jVSqZTnZ3FUsoZUyrBnT7QsW+ulmTs3xO7dk0/dr+R28BKqwR2oBmeoo19E6uvry21CwRSiYUv3FhKpBCtb8huRD/dvICUBYvXL8rYBStcOddV1LJ6xOOuIfnjDBlKBALFlB2t4LSDf5FPf3dqXIqttDTlM33erBieoBnegGhSv4ff78fv95TajICpZw/79I4yMpJgzpzxT98Ea0e/qihKPZ3/gr+R28BKqwR2oBmeoo19EvB4FEgrTsL7TcoBXtubr6K8nVrcM46vK2wYobTusbl3Nix0vThhEI7x+PbFlyzBVB2uI1S4m6a/NydF3a1+KLV5MsqYmJ0ffrRqcoBrcgWpQvEY8Hicej5fbjIKoZA3pKfPlnLo/Z06IVAq6umJZ01VyO3gJ1eAOVIMz9MmjiFTC1MxCNGzotALxzauf5zyzMYT6NhS0rV6aUrbDqtZVdA930zHYcfBJYwht3Dju+nwAxEekYWVOW+y5ti/5/URXrsxpiz3XanCAanAHqkHxGsFgkGAwWG4zCqKSNaSj3ae3uSsH6dkEe/dmn75fye3gJVSDO1ANzlBHv4jMmDGj3CYUTCEaNnRuYFXLqvwD8SX6Cw7EB6Vth2wB+UYD8Y2zPj9NpHE1oYFNSCr7mzw396Xh1asJbdqETPI20s0ackU1uAPVoHgNHXVyB5ON6M+ZU84RfavuvXuzB+Sr5HbwEqrBHagGZ5TU0ReRt4vIJhHZKiLXjHO+WkTusM8/ISKL7eMzReQRERkUkVvH5HnULnOd/dOSraypJBLx/jYp+WpIB+IrZH0+FB6ID0rbDm2z2wj4AuMG5BsNxDfRiD5W5H2fiVM9sDlrPW7uS5FVq/DF41Rv9q6GXFEN7kA1KF5DR53cQbYR/ZoaPw0NgTJYZaEj+t5CNbgD1eCMkjn6IuIHvgOcCawE3isiYz2gDwE9xpilwC3AV+zjUeA64OoJin+/MWaN/dM5SVnKFLC5e3OBgfjWFyUQX6mpDlSzbOay8R399esnDMSXJh2QryaHdfpuJR2QryaHdfqKoijTER11cgfZRvTnzQuXdZuu2toA9fWBSR39Sm4HL6Ea3IFqcEYpR/RPALYaY142xowAvwTOH5PmfOAn9t+/Bk4VETHGDBlj/oLl8OfKuGXlb75zwuHyTQErFvlq2NBpjWavas1/a71YfeGB+KD07bCqdRXrO9cfFJAvvGEDscMPHzcQX5p4aB6J4AzC/dmdZDf3pfj8+SRmzJg0IJ+bNeSKanAHqkHxGjrq5A6yjei3tpZvfX6a1tYQHR06ou8FVIM7UA3OKOWcpfnAjoz/dwInTpTGGJMQkT5gJtA9Sdk/EpEk8BvgJmN5XDmVJSKXA5cDzJs3j5aWFvr6+qitrSUQCLB//36am5uJRqOkUilqamro7e2lvr4en89Hb28vM2bMGJ2GGQ6H6enpoampCYCqqiqampoYHh7G5/MRCoVGy0wkEgwNDdHY2MjQ0BCBQIDq6urR8/F4nEgkQkNDAwMDA1RXV1NVVTV6fmRkhFgsRn19Pf39/YTDYYLB4Oj5WCxGIpGgtrY2b00jIyO0tLSMakqlUgwMDEyq6eX+l5kRnkHbgrYDzuekKRqlZqCdgblnMGPGjII1iQjBYHDCdspV00TtdNzi4/j1i78mGozSHGy2NAWDhDduZOT882lqasraTvGZR1IzuDlr34vFYrS0tOTc9wrV5LTvJY48krqtWwkEAhO2k8/nGz2fz/U01ZrGu56i0WhRvyPKoSmzHYrxHVEOTZFIhJaWlpJ9702Fpsx2KPS7XHE/Xh9xgsrW0NERZeXKhim25mBaW0M5jeh7HdXgDlSDO5hKDTLRNmEFFyxyEfB2Y8yH7f8vBk40xlyZkeZFO81O+/+X7DTd9v+XAseNyTPfGLNLROqxHP2fG2N+OllZ47Fq1Spzxx13FE3z7Nmz6erqKlp55SBfDRf990XMrJnJ9y74nuO8weEdLP/zWexaeR09C9/lOP9YSt0O6zvW855fvodvnPUNTl92OgBVO3Zw+Flnsev66+l55zuz5m/d/B/M2vZjNpz2xIQzGNzel1q/+U1m/eQnbHjiiQlnMLhdQy6oBnegGg7kiCOOeNoYc1xRClNGKeYzQShkjRZHo04mJrqLStUwMpLi2GP/yMc+tpSPfnRpuUwD4IYbXuSRRzr53/9964RpKrUdvIZqcAeqYXwmei4o5dT9XcDCjP8X2MfGTSMiAaAR2JetUGPMLvv3APALrCUCeZVVbFKp1FRWVxLy0RBLxHhp/0sFTduH4gTig9K3w9KZSwn4Amzs2jh6LGRvN5ct4n6aSMMKxCSoHtgyYRq396XIihVIIkH1Fu9qyAXV4A5Ug+I1dB2pOxhPQ2en9XCdDoZXTubMCbF//wgjIxN/P1RqO3gN1eAOVIMzSunoPwksE5ElIlIFvAe4Z0yae4BL7L8vAh42WaYYiEhARGbZfweBc4D0QmFHZZWCgYGBqayuJOSjofBAfBuKGoiv1O1QHajmsObDRuMSgLU+PxUMZg3ElybSsMLK079xwjRu70tRe2eB8EbvasgF1eAOVIPiNXQdqTsYT0N6Tbwb1uinXzZkW6dfqe3gNVSDO1ANziiZo2+MSQBXAg8AG4E7jTHrReRGETnPTvYDYKaIbAX+FRjdgk9EtgHfAC4VkZ12xP5q4AEReR5YhzWK/1+TlTVVpNfpe5l8NKT3lM/b0e9bX7RAfDA17bCiZQUbOzeOBuQLb9hAbNkyTA4Xbjy8gGSgntDAxE6y2/vSyIIFJOvrCWVx9N2uIRdUgztQDYrXSCQSJBKJcptREJWqIe1Uu2FEP/2yIds6/UptB6+hGtyBanBGSTcQNcbcD9w/5tj1GX9HgXEXNBtjFk9Q7LETpJ+wrKlieHi4nNUXhXw0bOjcQFOoibn1c51XaAyh/o30zznded4JmIp2WNGygrs33E3nUCettS2EN2yg74wzcsssQqRhRdYRfdf3JREibW1ZR/RdryEHVIM7UA2K1/D7/QCefiCtVA1pp9pNI/rZHP1KbQevoRrcgWpwRimn7k87fD7vf5z5aNjQuYFVravy2o82GNlJINFftPX5MDXtsHK2NXthY+dGqnbuxD8wkNP6/DTRhhWEBjZBavw1Ol7oS9EVKwht2gQTrDPygobJUA3uQDUoXiOVSnk+LkOlaujoiFJXF6C2tqRjXTkxZ4617WZHR2TCNJXaDl5DNbgD1eAMffIoIukoil7GqYZoIspL+18qaH0+QKQhv/zjMRXtcPjswxGEjZ0bXwvEtzJ3DZH6FfhSI1QPvTLueS/0pciKFfhGRqh+xbsaJkM1uAPVUPmIyNtFZJOIbBWRg5beiUi1iNxhn39CRBbbx08XkadF5AX791sz8jxql7nO/mmZQj15vfx2E5WqoaMj5orRfIBw2E9jYzDriH6ltoPXUA3uQDU4Qx39IrJ///5ym1AwTjUUHIivb31RA/HB1LRDTbCGJc1L2NC1wVEgvjSTBeTzQl+aLCCfFzRMhmpwB6qhshERP/Ad4ExgJfBeOy5PJh8CeowxS4FbgK/Yx7uBc40xR2AF5P3ZmHzvN8assX86SyZC8QwdHVFaW6vLbcYora2hrI6+oihKvpR/3lIF0dzcTGent58jnGrY2Gk5eXk7+gMbixqID6auHVbMXsFTu54ivCGScyC+NCO1i0j6w4T6N8L88w8674W+FFu0iFQ4bAXkO9+bGiZDNbgD1VDxnABsNca8DCAivwTOBzZkpDkfuMH++9fArSIixphnM9KsB8IiUm2MiTk1wufzEQgE8Pv9pFKp0REXYww+n49kMkkgECAejxMMBrP+rqqqIplMUl1dPRq0VURIpVL4/f6cyggGgyQSiYLtybeMqqoq4vE4oVBo9HgymcTn83lG03gaOjqitLW14vf7XaFp7twwnZ2xCfteMBgklUodoGGy3+XWNLYMn89X0PXkBk2ZbVGM74hyaEprSCaTRW/rqdIkIgQCgYM0lKL/lkpTIBAo+vfehPe1yW58Su54OTBEGqca2rvaaahuKCAQ3yYi9Suc583CVLXDipYVdAx0UN2+kcgKhxrET7S+bcIRfU/0Jb+fyPLlE47oe0LDJKgGd6AaKp75wI6M/3fax8ZNY+/q0wfMHJPmQuCZMU7+j+xp+9fJOHMlReRyEXlKRJ4q5qwLEfF8XAafz1dxGuLxFN3dsdG18W5gzpwQe/dOvEY/00n2KpXYl7yIanAHU6lBR/SLyNDQULlNKBinGtq72mmb3ZbXTSgQ6yAQ7yFav9xx3mxMVTusbFnJgiEI9vUTXe5cQ7RhBU277gKTAjnwgvdKX4quWEHT3XdDKgU+b2rIhmpwB6pBmQwRWYU1nf9tGYffb4zZJSL1wG+Ai4GfZuYzxtwG3AawatUqM9m2R+lzyWQy6+9IJHJA+kzidgDTycpI/y6GPfmUkd4pYuz58XCrprEa9uwZxBiYOdMaEXSDptbWanp6RhgYiBEO+w/Kmx5FzPVzcYOmsWVMVJ6XNKVHXIv1HVEOTWkNmX2/mG09FZoCgQAjIyPjavCKprHXtBN7nA4aePuViMtobGwstwkF40RDIpVgS/cW2ma35VVXuH8TYDm8xWSq2mH57OWs2Wf97XhEH2udvj8ZoWr41YPOeaUvRVaswB+JUPWqdzVkQzW4A9VQ8ewCFmb8v8A+Nm4aEQkAjcA++/8FwF3AB4wxL6UzGGN22b8HgF9gLRGYEgKBwOj0TK9SiRo6OtyztV6a9BZ7advGUont4EVUgztQDc5QR7+IVMKIjRMNr/a8SiwZy9vRDw20AxCtPzyv/BMxVe3QUN3Am4caSAmOAvGlyRaQzyt9KVtAPq9oyIZqcAeqoeJ5ElgmIktEpAp4D3DPmDT3YAXbA7gIeNgYY0SkCbgPuMYY89d0YhEJiMgs++8gcA7wYmllvEY8Hh8d7fEqlaghHfTOTY5+2paJAvJVYjt4EdXgDlSDM9TRLyJef8MEzjRs7LKcu+Wz85t6H+pvJ1ZzCKlAbV75J2Iq2+Gk/hDbmgKkap1riNUeSspXZQXkG4NX+lL00ENJBYNWQL4xeEVDNlSDO1ANlY295v5K4AFgI3CnMWa9iNwoIufZyX4AzBSRrcC/Aukt+K4ElgLXj9lGrxp4QESeB9ZhzQj4r6nSFAwGCToI0OpGKlGDF0f0K7EdvIhqcAeqwRn65FFEqqvds11LvjjRsKlrE1X+KpbMWJJXXeGBdiIN+UXrz8ZUtkPb3ih/akqwINpHY8jh1FxfkGjd4eOO6HumLwWDRA8/fNwRfc9oyIJqcAeqofIxxtwP3D/m2PUZf0eBd46T7ybgpgmKPbaYNjrB6yNOUJkaOjqihMN+Ghrc8/iby4i+11EN7kA1uIOp1KAj+kWkEvZJdqKhvaudpTOXEvQ7fyvliw9QFdlJtCG/af/ZmKp28PX3M6u7n3UzrZce+RBtaCPcvwHswBxpvNSXom1thDd4W8NEqAZ3oBoUr6GjTu7g4BH9GK2tIVdFsa+u9tPcXDVh5P1KbAcvohrcgWpwhjr6RaS5ubncJhRMrhqMMaMR9/MhNGA5xpEiR9yHqWuH0ObNAKyb+doyBqdEGlbgTwwQjBwYd8pLfSmyciX+gQGCu7yrYSJUgztQDYrX0HWk7mCsho6OqKum7adpbQ3pGn2XoxrcgWpwhjr6RcTrHQ9y19Ax2EFvtLdgR7/YEfdh6toh3G4FE9x5yCw2dG7Iq4yovXRh7PR9L/WlqL3jwNjp+17SMBGqwR2oBsVr6KiTOxhvjX5rq/uW0WRz9CuxHbyIanAHqsEZ6ugXkfS+uV4mVw3pqep5b6030E6iqplE1ay88mdjqtoh1N5OfOZMZi1ZzcbO/Eb0o3XLMBIgNHBgfi/1peiyZRi//6CAfF7SMBGqwR2oBsVr6KiTO8jUkEwaurpirhzRnzMnNGEwvkprB6+iGtyBanCGOvpFpKGhodwmFEyuGjZ2bUQQDp+V39Z4of52IvVtUIJ1clPVDqFNm4i2tbFi9gq29WxjOD7suAzjryZWu+SgEX0v9SUTChFbsuSgEX0vaZgI1eAOVIPiNXTUyR1kaujujpFMmtEo925izpwQAwMJhoYSB52rtHbwKqrBHagGZ6ijX0QGBgbKbULB5KphU9cmDmk6hNoq59vKSSpO9eDWkgTig6lpB4nHqd66lejy5bTNbsNg2Ny9Oa+yIg0rCPW3H3DMa30psmIFoXZvaxgP1eAOVIPiNRKJBInEwU6bl6g0DW7cWi9Nti32Kq0dvIpqcAeqwRnq6BeRStg+KVcN7d3tLJ+dXyC96sGX8ZkE0frSOPpT0Q7VL72EL5EgsmIFK2Zba9Tzjrxf30ZwpJtArPu18j3Wl6JtbQS7uwl0e1fDeKgGd6AaFK/h9/vx+/3lNqMgKk2DFxz98dbpV1o7eBXV4A5UgzPU0S8iVVVV5TahYHLRMBAbYGffTtpm5RuIz5riXYqI+zA17ZAevY4uX86c+jk0hhoLiLxvfY6Zo/pe60vpgHyZo/pe0zAeqsEdqAbFa6RSKVKpVLnNKIhK0+BmRz9t03iOfqW1g1dRDe5ANThDHf0iUgn7JOeiYVO3HYivJU9Hv38TKX+YkdpFeeWfjKloh1B7O6lwmJFDDkFEaJvVRntn++QZxyFqv/AIDbyW32t9KXK4Fash09H3mobxUA3uQDUoXkNEXLVXez5UmoaOjihVVT6amty3vre1NYQI7N17cNDOSmsHr6Ia3IFqcIY6+kWkEvZJzkVDMSLuR+uWgZRm2spUtEO4vZ3o4YeDPfWmraWNLfu2EE86j6KZCjYwEp5/QEA+r/WlVGMjI/PnHxCQz2saxkM1uAPVoChKoVhb64Vc6SQEgz5mzqymoyNWblMURakg1NEvIiMjI+U2oWBy0bCxcyPN4WZm1eSxNZ4xhAY2jU5XLwUlbwdjCG3aRKTtNQ1ts9sYSY7wSs8reRUZqV9xwIi+F/tSpK3tgBF9L2oYi2pwB6pB8RrGGIwx5TajICpNQ0dHjNZW98bKmDMnNO6IfqW1g1dRDe5ANThDHf0iEot5/01sLho2dW9iRcuKvN6KByO78CcGShaID0rfDsGdO/EPDhJd/lqMgXRAvvauPKfvN7RRPbwdX2IQ8GZfira1Ub19O75B72oYi2pwB6pB8Ro+nw+fz9uPWJWmIT2i71ZaW0PjrtGvtHbwKqrBHagGh3VNSS3ThPr6+nKbUDCTaYgn42zdt5Xls/ILpBcasKb9l9LRL3U7hDfZGuwAdACLZywmFAixsTPfgHx2MLsBa4s+L/al0YB8m72rYSyqwR2oBsVrJJNJkslkuc0oiErSkEoZ1zv61oj+wY5+JbWDl1EN7kA1OEMd/SLS399fbhMKZjINL+1/iUQqkf/6/P6NGHxE65fmlT8XSt0OofZ2jM9HdOlrGvw+P4fPOnw0UKFT0i8+QvY6fS/2pfRShtBG72oYi2pwB6pB8RqBQIBAIFBuMwqikjTs3z9CImFc7+gPDycZHDxwf+1KagcvoxrcgWpwhjr6RSQcDpfbhIKZTEN6anreEfcHNhGrXYLxl+6zKnU7hNrbiS1Zggkd+MCwfNZy2rva81p3k6ieTaKqmbC9Tt+LfSnR0kJixgzC7d7VMBbV4A5Ug+I14vE48bjz4KxuopI0uHlrvTRp29K2pqmkdvAyqsEdqAZnqKNfRIJB923Z4pTJNGzq2kQ4EOaQxkPyKj800E60Ib9p/7lS6nYIt7cTbTv4RUdbSxsDsQF29e9yXqgIkfo2Qv2Wk+zJviRCNCMgnyc1jEE1uAPVoHiNYDDo+TavJA1p53nOHO85+pXUDl5GNbgD1eAMdfSLSCXskzyZho1dG1k2axl+n/Ot8fwjvVRF95Z0fT6Uth38PT0EOzoOiLifpigB+Qa3Iqm4Z/tSpK2N6q1bkbh3NWSiGtyBalC8ho46uQNvjehbOwLoiL47UQ3uQDU4Qx39IlIJ+yRn02CMYVPXplGH1inp7eNKubUelLYdQulAfMsPnpWwbNYy/OJnY1eeAfnqV+AzCaoHt3q2L0VXrMCXSFC91bsaMlEN7kA1KF5DR53cQeaIfiAgNDdXldukCWlpsV5CjA3IV0nt4GVUgztQDc5QR7+IVML2Sdk07OrfxeDIIMtnFxpxv7RT90vZDulp6eNN3Q8FQixpXkJ7Z/4j+mC9EPFqXxoNyNfuXQ2ZqAZ3oBoUr6GjTu7gtRH9GK2tIXw+59sCTxXBoI+ZM6t0RN+lqAZ3oBqc4e2whS4jkUhMnsjlZNMwGoivgIj78eoWklWlHdkqZTuE29uJt7aSnDFj3PNts9v4+46/51X2SM0hJP01hPvb6fdoXxpZtIhkOEy43bsaMqn0a9orqAbFa6RHa7y8DVQladi7N+LqaftpWltD467Rh8poB9VQXlSDO5hKDTqiX0Rqa2vLbULBZNPQ3tWOT3wsm7Usr7JDA5tG94svJaVsh9CmTeOuz0/TNruNzqFO9g3vc164+IjWLyfU3+7dvuTzEV2+nFC7hzVkoBrcgWpQvIaOOrmDA0f0q8ttzqSM5+hXUjt4GdXgDlSDM9TRLyJ9fX3lNqFgsmnY1LWJJTOWEAo4fysuySjVQ6+UfNo+lK4dJBql+pVXxp22nyY922FT16a86ojWLyc00E5fb09e+d1A2tHv6/GuhjSVfk17BdWgeA1dR+oOgsEggUCAjo6oh0b0D1zmUyntoBrKj2pwB7pG36NUwohNNg0buzbmvz5/cCtikiWPuA+la4fQ1q1IMpmTo59vQL5owwr8yWEaTFde+d1AdMUK/MPDNHR5V0OaSr+mvYJqULyGjjq5g3g8TlfXMCMjKc84+v39cYaHX1vqUyntoBrKj2pwBzqi71ECAe+HPJhIQ0+kh47Bjvwj7vdPTcR9KF07pAPxRcaJuJ+mMdTIvPp5eW+xl/58Qn35vShwA6MB+TZ6V0OaSr6mvYRqULyGjjq5g2AwSHe39UDtFUcfoLPztVH9SmkH1VB+VIM7qJgRfRF5u4hsEpGtInLNOOerReQO+/wTIrLYPj5TRB4RkUERuTUjfY2I3Cci7SKyXkS+nHHuUhHpEpF19s+HS6ltPCphn+SJNKSnoucfcb+dZKCOeHh+3rblSqnaIdTeTrKujviCBVnTtbW05R15P1a3FCMBErufzCu/G4gtW4YJBEg86V0NaSr5mvYSqkHxGslk0tPBoqByNOzePQx4w9GfM8eKI5C5Tr9S2kE1lB/V4A6mUkPJHH0R8QPfAc4EVgLvFZGVY5J9COgxxiwFbgG+Yh+PAtcBV49T9NeNMW3A0cDrReTMjHN3GGPW2D/fL6KcnKiEfZIn0lBwxP2BdqL1h4OUfhJJqdoh3N5OdPlykOzb87TNbuPV3lcZHhl2XIfxVRGtO4y6yEv5mll2TFUV0UMPpe4l72pIU8nXtJdQDYrX8Pl8+HzenjRZKRo6Oy2n2QuOftrGTEe/UtpBNZQf1eAOplJDKWs5AdhqjHnZGDMC/BI4f0ya84Gf2H//GjhVRMQYM2SM+QuWwz+KMWbYGPOI/fcI8AyQfXh1ColGo5MncjkTaWjvaqe1rpUZ4fG3lcuKSVI9sJlIfekj7kOJ2iGZpHrz5qwR99OsmL0Cg2Fz9+a8qorWtxHY90Jeed1CtK2NwAve1gCVfU17CdWgeA1jDMaYcptREJWiYc+eCH6/MGuW+6Put7Qc7OhXSjuohvKjGtzBVGoopaM/H9iR8f9O+9i4aYwxCaAPmJlL4SLSBJwL/Cnj8IUi8ryI/FpEFuZpd96kUqmprrLoTKRhU/emvEfzq4Z34E9GiDaUPuI+lKYdqrZvxx+JZA3El6bwgHxt+GNdBGLeDWYXbWvD39VFwOMB+Sr5mvYSqkFRlHzp6Igya1Y1fn/22XhuIBTy09QUPGiLPUVRlHzwZHQgEQkAtwPfMsa8bB++F7jdGBMTkSuwZgq8dZy8lwOXA8ybN4+Wlhb6+vqora0lEAiwf/9+mpubiUajpFIpampq6O3tpb6+Hp/PR29vLzNmzCASiQAQDofp6emhqamJmpoaRkZGaGpqYnh4GJ/PRygUGi0zkUgwNDREY2MjQ0NDBAIBqqurR8/H43EikQgNDQ0MDAxQXV1NVVXV6PmRkRFisRj19fX09/cTDocJBoOj52OxGIlEgtra2rw1NTY2UlNTM6oplUrRtb+LV3pe4e1tb6ehocGxJv8+612MmXUUTU1NJddUX19PLBabsJ1SqRQDAwOO2qlhzx4Aak4+GbHLnaidGhsbmRGewbaBbYRCIceaTOxYaIc5vj10Vs3Pqe/lo6mUfS94wgkA1G7eTPWqVXldT27QVFdXR01NTdG+I8qhqampiWg0WrTviHJoqqmpoaampmTfe1OhacaMGaPtUOj3nuJ+ZJIlXl6gUjTs3RuhtdX9o/lprC32XnP0K6UdvI5qcAeqwWFdpZo6ICKvA24wxpxh/38tgDHmSxlpHrDTPG4773uB2cY2SkQuBY4zxlw5puwfAoPGmE9MULcf2G+Macxm46pVq8wdd9yRr8SDqKqqYmRkpGjllYPxNLy490Xee8d7ueXsWzht6WmOy2zd/E1mbvsJG0/7O8ZX+iiTpWiH1m9+k5k/+Qkb//53TA6RMj/yPx+hL9bHne+903FdvsQgK//0OjqW/jNdh12ej7llxzcwwMqTT6bjn/+Zrsu9qQEq95r2GqrhQI444oinjTHHFaUwZZRiPhOkIyp7eRuoStFw5pkPs3RpHd/4xtHlNicnPv7xp+nqinHnnScDldMOoBrKjWpwB6XQMNFzQSmn7j8JLBORJSJSBbwHuGdMmnuAS+y/LwIeNpO8eRCRm4BG4JNjjs/N+Pc8YMr39qqvr5/qKovOeBrau61AfIVE3I/VHTYlTj6Uph1C7e3Eli7NyckHWNGygq37thJPOr+IU4E6EnWLCQ3kF7nfDaTq60ksWjS6JaFXqdRr2muoBsVr+P1+/H5/uc0oiErQ4PP56OiIMmeO+wPxpRk7ol8J7aAa3IFqcAdTqaFkU/eNMQkRuRJ4APADPzTGrBeRG4GnjDH3AD8AfiYiW4H9WC8DABCRbUADUCUi7wDeBvQDnwXagWfsqQ+32hH2PyEi5wEJu6xLS6VtIrweBRLG19De2U5dVR3zG/LbGi/U387grNcXalrOlKIdQu3tDL7hDTmnb5vdRjwZ5+X9L+f1giTRvJpQ13OO87mJxOrVhJ5/vtxmFESlXtNeQzUoXsPLo01pKkHD/v0RhoeTnoi4n6a1NcT+/SPEYkmqq/0V0Q6qwR2oBncwlRpKukbfGHM/cP+YY9dn/B0F3jlB3sUTFDvuwgZjzLXAtXkZWiR6e3vLWX1RGE9De3c7y2cvx5fH1niBWDfBkX1EG6Ym4j4Uvx0C3d0E9+3LKRBfmsyAfPk4+gPhpcyO/A5ffIBU0JsjgQPLljH7vvvwDQyQ8uhoZqVe015DNSheIz0108v7PVeChn37EoA3ttZLk44n0NkZY+HCmopoB9XgDlSDO5hKDTrEUERmzMhj6zmXMVZDMpVkc/fmvCPuh/qtqduR+qmJuA/Fb4fQRmsVSC5b66VZ1LSIcCDMpq5NedUZnG8FswsN5JffDQSPPx6A0CbvaqjEa9qLqAbFa8Tjcc+PPFWChp07BwA8N3UfXttirxLaQTW4A9XgDqZSgzr6RSQdvdnLjNWwvW87kXgkf0ffXmcerc8vfz4Uux3Sjmp0ee4vK/w+P8tmLct7i73B8FIAwh5epz+41Nbg4XX6lXhNexHVoHiNYDA4OmrjVSpBQ1eX9TDtrRH9Ax39SmgH1eAOVIM7mEoNntxeT5k60iPS+Tr64YF2RsLzPTv9HCxHdWT+fMfTz1fMXsF9m+4jZVKOlz0kwy3Eq2YS6p/ymJJFI9nSQqK5eXRGhKIoynTB6yNOUBkadu0aQgRmzfLW9npw4Ii+11EN7kA1uIOp1KAj+kUkHA6X24SCGauhvaudgC/AYc2H5VVeqH8TkSkczYfit0Oovd3RtP00bS1tDI4Msqtvl+O84XCYaEPb6NIHLxKuqSGyYoWnI+9X4jXtRVSD4jV01MkddHXFmD07RDDoncfd2toAdXUBHdF3GarBHagGZ3jnm88D9PT0lNuEghmrob2rnaUzlxL0O++QvsQwVcOvEm2YWke/mO3gGxqiavt2R4H40qyYbQUgzGf6fk9PD9H6FYSGXkZS3tw/vKenh2hbG6GXX0Y8ugd6JV7TXkQ1KF5D15G6gz17hkeD23kJa4u9GFAZ7aAa3IFqcAe6Rt+jNDU1lduEghmrob2rneWz8gukVz2wGcFM6fp8KG47VG/ZghiTl6O/dOZS/OKnvcv5iHZTUxORhjbEJKge3Oo4vxtoamoi0taGJBJUb/WuBq+jGtxBJWhQckdHndxBR0eMOXNqym2GY1pbq3VE32WoBnegGpyhjn4RSaVS5TahYDI1dA91s294X0Hr82FqA/FBcdshHUguH0e/OlDNoc2HsrHT+Yh+KpUiWm/NCAh7dPp+KpUiusLW4NHp+5V2TXsV1aB4DR11cgd790ZoafHqiL5G3XcTqsEdqAZn5Ozoi8gbROQy++/ZIrKkdGZ5k4GBgXKbUDCZGtJTztta8t9aLxFsIh5qLYptuVLMdgi1t5NoaiLemp+GttltbOp2vr3cwMAAIzULSPprPRuQb2BggJGFC0nW1Hg2IF+lXdNeRTV4C31e0FEnNzA4mGBwMMG8ebXlNsUxra0hurtjxOMpz7cDeL8vgWpwC6rBGTk5+iLyf4HPANfah4LAz0tllFephKmZmRrSEffznbofGmgnWr8cRIphWs4Usx1C7e3Wtnp5amib3UbXUBfdQ92O8jU1NYH4iNYvH92i0Gs0NTWBz0d0+XLPBuSrtGvaq6gG75Dv84KIvF1ENonIVhG5Zpzz1SJyh33+CRFZbB8/XUSeFpEX7N9vzchzrH18q4h8S2TqbkaJRIJEIjFV1ZUEr2vo7LRGxFtaqspsiXNaW0MYA93dMc+3A3i/L4FqcAuqwRm5juhfAJwHDAEYY3YD3t0vrUQMDw+X24SCydTQ3tXO/Ib51Ffn0dSpBKHBLVMeiA+K2A6JBKEtW/Katp9mRYs1dd3pOv20hmhDG6GBTWCSedtQLkY1tLUR2rQJkt7V4GVUgzuoBA054vh5QUT8wHeAM4GVwHtFZOWYZB8CeowxS4FbgK/Yx7uBc40xRwCXAD/LyPP/gI8Ay+yft+cvyxl+vx+/3z9V1ZUEr2vYu9dy9OfN8+Ia/de22PN6O4D3+xKoBregGpwRyDHdiDHGiIgBEBHvzYOaAnw+74c8yNTQ3tU+GjneKdVDr+BLjUz51npQvHaofuUVfCMjeW2tl2b5bGs2RHtXO29Y/Iac86U1RBramLk9QtXwDkZqF+dtRzkY1bBiBTNvv52qHTsYWby4vEY5pNKuaa+iGjxFPs8LJwBbjTEv23l+CZwPbMhIcz5wg/33r4FbRUSMMc9mpFkPhEWkGmgGGowxa+0yfwq8A/j9REb4fD4CgQB+v59UKkV6AoAxBp/PRzKZJBAIEI/HCQaDk/5OJpNUV1djjMG2gVQqhd/vz7mMRCJRsD2FlhEKhQ7Q5PP5XK0pkUgQDAbp6rJ2e2ltDR+gYbx2GtVkDOLzlV3TggXWu7Hu7gSBQIBUKpVVwwG/AwGSqZSr2snn8yEiVFVVFXQ9lVOTMWbUjmJ+R0ylprSG9DVSzLaeKk0iQiAQOEhDKfpvqTSlnfxgMFi0770J72sTnjmQO0Xke0CTiHwEeAj4rxzzThtCoVC5TSiYtIahkSG2924fdVQdl5MOxFeGEf1itUOogEB8aRqqG5jfMN/xFntpDemAfCEPBuQb1WB/fl6cvl9J17SXUQ2eIp/nhfnAjoz/d9rHxk1jjEkAfcDMMWkuBJ4xxsTs9DsnKRMRuVxEnhKRp/bv3z+JmbkjIqMPYl7FKxriyTgDsQH2De2jc7BzdLncq3u7wB8fHR0fF2OQZBTfSC/+WDf+WCf+aCf+2D588QEo0/a2c+ZYNu/dG5m8HYxBolF8vb34u7vxd3ZaP/v24RsYABdsb+uVvpQN1eAOVIMzchrRN8Z8XUROB/qB5cD1xpgHS2qZBynmQ0K5SGvY0r0Fgykg4v4mUr5qYjWLi2hdbhSrHcKbNpGqriZW4Cj0itkraO905uSmNcTqDiMlAcIDG+mfO2WzTovCqIalS0kFAoQ3bqT/7d7U4GVUgzuoBA25UK7nBRFZhTWd/21O8hljbgNuA1i1apWZbO1k+lzSXoo00e9YzNoDfWQcJysdbXmyMtK/i2FPPmWM1ZA+Ph7l0BQbiTEQG2AkOWKNFvur8IufgC9AMpFkT8cAM+Yk6I/vJ5aopjpQfUAZkowRHx5ATIqk+DC+KpAqwCCpJBLvRYwhHhsgGaib0nYKhQzhsJ/du4dGP/+x7ZBMJpFYjPjAAJJKEfP5MFVVJPx++wVGEolEwBhMVRXJujrigcCUt1MikaCqquoADU7LcEPfq6qqIhabPGaCmzWlNSSTyZK09VRoqqqqGrV/KvpvKTSlnfzMyPvF+C4fj1yn7mPfqNW5z0JzczOdnZ3lNqMg0hpGI+7n6eiH+tuJ1i0DX85drGgUqx1C7e1Ely2DQGEa2lraeOilhxgaGaK2KrdVL2kNxhckVrfMkyP6oxqCQWJLl3pyRL+Srmkvoxq8RR7PC7uAhRn/L7CPjZdmp4gEgEZgH4CILADuAj5gjHkpI/2CScosGekpnl7GzRoi8QiDI4MA1FXVEQqG8MmBk1T79oZpbZoJBvpifVQHqmmobkAAX2IAXzKKET/JYCPGP84WfCaFJKP4k0ME4j0kA3UYf3gK1FmOQGtrNR0dsfHbwRh8AwP4olGM30+ysRFTPY6GVApfNIpvaIhATw/JujpMeGo0HGiue/tSrqgGd6AanJF16r6IDIhI/0Q/U2WkV/B6FEh4TcOmrk00hZporctjWzljrIj7DflN+y+UorSDMa9F3C+QtlnWy5L0Lga5kKkh2rCc8EA7eOzL7QANy5cTbve2Bq+iGtxBJWjIRoHPC08Cy0RkiYhUAe8B7hmT5h6sYHsAFwEP27EAmoD7gGuMMX9NJzbG7AH6ReQkO9r+B4DfFq40N3w+n+fjMrhVw9DIEAOxAYK+IM3hZmqqag5y8sEKZDd/TgOz6mZRW1VLLBGjN7IfGdmPLxklFaglWdU8vpMPID5MoIZEVTNGgvjjA/gSQyVW9xqtrSE6OqIHt0Mqhb+3F180Sqq2lmRz8/hOPoDPR6qmhkRzMyYYxD8wgG9o6jS8ZoY7+5ITVIM7UA0O68p20hhTb4xpAP4DuAZrfdsCrK1zvlly6zzGUBm+PItNWkN7VzvLZy/Paw1JMNpBIN5HtAyB+KA47RDs6CDQ11fQ+vw0bS1WGU7W6WdqiNS3ERjZTyDmrdHAAzSsWEFg/34CHhvRrKRr2suoBvdTyPOCveb+SuABYCNwpzFmvYjcKCLn2cl+AMwUka3Av9p1YOdbClwvIuvsnxb73MeA7wNbgZfIEoiv2GROK/UqbtQwGBtkaGSIUDBEY6gRv2/iyNUdHVFaWqpJpVLUVtXSUF2PjOxnILKfeKCOVKA2t61z7VH/lD+ELzGELzFYREUTk3b0D2gHY/D39iKJBMmGBlK1OWqwR/1ToRC+oSF8g1OjIY0b+5JTVIM7UA3OyPV1wnnGmO8aYwaMMf3GmP+HFQFXyaCxsbHcJhRMY2Mj8WScLfu25B1xPzRgObSRMgTig+K0Q2ijraEIjn5LbQvN4WZHW+xlaog2WO0Q9tj0/QM02J9j2GPT9yvlmvY6qsFT5PW8YIy53xhzuDHmMGPMzfax640x99h/R40x7zTGLDXGnJCO0G+Muen/s/fmYXKc9YH/562jq4/puSSNbkuWdVqSZVvGBxhsDhPwJpiwkCUHIQkbCIQcv2SfX0jyS8KS8GzYzW422ZBkk0AgEJYzxN5wGrABG7AtX5J12bLkQ8fomqunzzre3x/dPZ4Z9XRXVVd3V7Xq8zzzjKa7qvr9TNU7qre+3/f7SikzUspr532dq723T0q5q3bM98su5ktqmobW5rSvXhM2h4JZoGAWSOmpagp+kwFusWgzPW2yZk2m6iAlGVlmSE9TVFJMmxVv6bNC4OiDOGoKxSqgWJ1fLnPlyiTnz5cRQp1zUKenq4P8oSGk1wKfQuAMDuKkUiiFAkoXl/wM27Xkh9ghHMQO3nA70M8LIX5WCKEKIRQhxM9SWyM35iX6IWKTz+d5bvI5KnbFf8X9mSNIBOWBrQG3zh1BnIfkkSNIIShvbd9BCMH2Fds9DfTnO5Sy25CIuZUMosICh9oUiKjN0++XPh11YodIEd8vUC2yNL/QUhQJk0PZKjNbnsXQDLJGtuX2Z8+WAFixoro0lWLlEE4FJTlKNr2cil1hpux9BqqjZ3FUA8WaRdhlz/t7YeXKJLYtGR+frTrkcohKBTubRdaK2/nByWZxDANldhZR7qxDnTBdS36JHcJB7OANtwP9nwF+Cjhb+3pb7bWYeUT9CRNUHY5cqA7GfBfiyx2lkt6Ao6WDbJprgjgPyaNHqWzYgJMOxmH7iu0cu3gM03bXsec7OFqGSvqKyBXkW+AwMED5iisiN9Dvlz4ddWKHSBHfL1BdH1nX9V43oy3C4mA7NrlyDk3RGDQGXe1TH+ivXTtAQlhzc/KlmiKpJefm7BfNouf2ONogUtFRrRmQnUu/rS8LeOGCRcKy5ubkB1FMzxkcRGoaai4HXUghDsu11A6xQziIHbzhdnm954hT9VtiLFUMJUIYhsGRc0cwVIONIxt9HSOVO0JhaHewDfNAEOchdeQIhd3BOewY24HlWBy7eIwdY62nRCx2KA1uJzX9VGDt6QaXOGzfTurgwR61xh/90qejTuwQHeL7hSpRjzhBOByklMyUZ5BIBpPN0/XnUx/oLx8VOMVJpJKozsmvkUlkMG2T2cosuqqjeVkhSAhsfRCtMolqzmDrw+7myXukPtA//cIU16wwkIlEdU5+EAiBPTSENjmJOjODPTzcEYc6YbiW2iV2CAexgzdcRfSFEEkhxK8KIf5aCPHx+lenGxc1+mGd5ImJCY6eP8qW5Vu8/cdXQzFnSBRPUcr2puI+tH8elJkZEqdOBVJxv059GoTb9P3FDsXsdhLFUyhmdBa7WOxQ2r6dxKlTKDPRdYgisUM46AcHN8T3C1XiqFMwFMwCpm2SNbKe7knqA/0rVjpouo6tX5ruP5gcRCCYKc14X+5KqNhaFuGYKHZn5rrXB/qzL05UHbKtpyx4QlWxBwYQptnx+fphuJbaJXYIB7GDN9ym7n8KWAX8GPBdqpV0c51qVFQZHR3tdRPaZmRkhCMXjvifn5+rLiHXq4r70P55SB6tOQRQiK/OhuENpPSU64H+Yof67zOVc79EX69Z7FAvbJg6Gl2HKBI7hIN+cHBJfL9API80CCzHomAWMDSDpOat8NzZsyVWL3PQFZMySRCXVudXhELWyGI5lq8Ufqka1fn6dgGc4JfPHBnRGdYqXDiTo5xMgrr0CgN+kclkdb5+oQAdXAK019dSEMQO4SB28Ibbgf5mKeUfAHkp5SeBfwfc1LlmRZOoX3gAz194nunS9Nza716pV4Yv9ajiPrR/HuqV4YMc6CtCYdvyba4H+osd6isYJGfcL9HXaxY7lHZUpyzUVzSIAv3Qp2OHcNAPDi6J7xeIo05BkCvnEAhXxfcWc268wKZ1oBoZtOTS+xuagaEZ5M08lo/BuqNlAYFqBf8sSzgOm1bA6QnQgo7mz8PJZkGI6nz9DtHraykIYodwEDt4w+1Av36HMiWE2AUMAWNNtr8sKRa9PxEOG4+98BiAq3nkjUjmjmAaK7CM5UE2yxPtnofkkSOYK1ZgLQ/WoV5535FOy20XO9jGckxjxVzGRBRY7GAtX465fPlcxkQU6Ic+HTuEg35wcEl8v0AcdWqXolnEtE0yiQyKcHur+hKFqUlWjBmUSbZ0GEgMADBb9rG2vFCwtQzCMRF2sH1cnZ1l+QqDZy90+EGhomBnMgjTRHTo71TcH8JB7BAOwhjR/zshxAjwB8A9wCHgv3asVRFlcNBdNdgw8+zUsyhCYetyf8vKpWYO9zRtH9o/D6nDhwON5tfZsWIHBbPAi1Mvtty2kUMpu51UhCL6DR22bycVoYh+P/Tp2CEc9IODS+L7BeKoUztIKclX8uiqTkr3XmFeOBWmL84yMDqMnki2dFAVlYyeoWJXqFgV7+1VU7Uq/HnwOtd/CUSlgiiXGVg1zJlzlY6fB5lKIXUdNR+cw3zi/hAOYodwELqIvpTyH6SUk1LK70opN0kpx6SUf9vpxkWNXAfTnrrFYy88xsaRjf7+c7VLGPnjc2nmvaKd8yBKJYzjx+fmkwfJ9rHqMQ+fbz3QbeRQHNyOkT/e8bV7g6Khw44dGMePd23t3nbphz4dO4SDfnBwQ3y/UMWyLKwOznnuBr1yKJgFHOnMRdq9Ys5OMzFlMzI25NohpadQhMJsxUdUH3C0AZBOYIX5lNlZpKIwtGaIs2dLVCqdj/45AwPgOB0pzBf3h3AQO4SDbjo0LWEqhPitZu9LKf9HsM2JNoZhRD498/C5w1y3+jpf+yZnjyGkTSnrL+0/KNo5D8ljxxC2TenqqwNuFWwe3YymaBw5f4Q3bH1D020bOZSyOxDSxpg9RmloZ+DtC5qGDtu3I2wb49gxSjuj6RA1Yodw0A8OzYjvFxai1gqnRfmGtBcOtmPPFeDTVe8RL2EXuXAuz0wpyapVKdcOQggGjAFmSjMUzaLnYIdU9LnCfI7auPifa4diEWFZ2IODrFyVxzQdZmZsBvw993CN1PW5wnxOwMX/4v4QDmKHcNBNh1YR/Wzt6wbgvcDa2tevANd3tmnRI5FI9LoJbTFRmODMzBmuHvM3yK0XiisO9nag3855qBeK60REP6El2DS6yVVBvkYO9QKHUUnfb+hQr7wfkfT9qPdpiB3CQj84tCC+X5iH4zg4Tut6LGGmFw4Fs4CUkkzCx3rxUqJYec5dsClZOitXJj05JLUkuqqTr+S9L7dHLaoPKFYbEXEpUfJ5pKYhk0lWraquNnD6dN7/MT3g1J4mBB3Vj/tDOIgdwkE3HZpG9KWU/xlACPE94HopZa728weBr3S8dREj6usk1weg21f4rbh/GFvLYqbWBtksz7RzHlKHD2Nns5hrO+OwfcV2Hnz+wZbbNXKopNZiawMkc+4q9/eahg7r1mFnMiSPRNchasQO4aAfHJoR3y8sRAjR6ya0TbcdbMemZJVI6kk0pentaUOEXURIhxfPVWNYq1YlPTtk9AxTpSmKVpG0nvbYABVHSaI4JRyZ9hXVF8UiwnGwazU9Vq6sDvTPni2zdauPhx9eUVWcZBKlVMJJpwOL6sf9IRzEDuGgmw5ui/GtBOZXKKnUXouZR9TXSa7PHfc70E/mjlDMboced8J2zkPyyBGKO3Z0zGHHih1cLFzkfP580+0aOgiFUnYbqYgM9Bs6KAqlbdvmljAMO1Hv0xA7hIV+cHBJfL8Q44uCWY0iZ3Sf0Xy7gFR0Tp+tRsrGxpKeD5PQEuiqTqFS8BnVrz4cUCwfEXgpUQoFpK4jaxlAK1caAIyPd2/aj5OuOeS7k0UQExPTOdwO9P8JeFgI8cHa0/mHgE90qlFRpVLxXq01TBw5f4T1w+sZSg5539mxSOaeptTjtH1o4zxYFsmnn+5Ixf06cwX5zjVPXV/KoZjdQTL3NEg78LYFzZIOO3aQfPppsKPrECVih3DQDw4uie8XqFaO9zNQDBPddJiL5mtJVMVHJLwWzXe0DOPjJYaHdVIp1ZdDRs/gSIei5WNwXY/q2yXP/0/Xo/lO5qUHHaOjBpomujrQnx/VD+r/6bg/hIPYIRx008Ft1f0PA78ITNa+flFK+V862bAoUo5IJfGlOHzuMDvG/A3UjfwJFKfc84r74P88GCdOoJTLHZmfX2f78uqxW83TX8qhNLgdxS6SyD8feNuCZkmH7dtRikUSz0fXIUrEDuGgHxzcEN8vVFEUBUXxvv57mOimQ31uvud0+Rr1aL5UEpw9W5pLeffjEEhUXwjPc/UXR/MBVFUwNpbk7NmS53a0w1xUP6C5+nF/CAexQzjopkPTTxFCDNa+jwLPAZ+qfT1fey1mHtlsttdN8E2+kuf5qee5br2/ivv1dPIwRPT9nod6OnlpR+ccBowB1g+tbznQX8qh/iAlCun7SznUf79RSN+Pcp+uEzuEg35waEZ8v7AQ27axI5C11IxuOTjSoWSVMDTDZzS/VI3mq9XB6fh4aa6InV+HtJ7GkQ5lP8vZChVHMVCcEkh3BbdEqVSN5qcvfdCxcmWyuxF9WBjVD6BoWNwfwkHsEA666dDqccJnat8fBfbN+6r/HDOPmZmZXjfBN0fPHwVg0/AmX/snZw7jKAbl9MYAW+UPv+chefgwTjJJeePGYBu0iO0rtrcc6C/lUM5swhE6yZnwD5KXdNi0CUfTIlGQL8p9uk7sEA76waEF8f3CPDRNQ9O8F5QLE91yKJrF9qP5QkWq1fns8yP6fh3qDx0KFX8RbUdN1+oGuBugK4UCUlWRhnHJe6tXp7se0YdaVF9KlACWBY37QziIHcJBNx1aVd3/8dr3K7vSmoiTSqUolbr/xzgI6oX49m7YCz4eMqVmDlPKbgMflXKDxu95SB0+TGnrVuhw59u+Yjv3HruXXDlH1mgc5VvSQdEpZzeTyoV/ebqlHKSuU96yJRJL7EW5T9eJHcJBPzg0I75fWIhpmr1uQtt0w0FKSdEsYmgGuqp73l84FYRjYevV/0uLRZupKXMuot+OQ1pPkyvnqFgVEprH5TEVDakYKHaxOuhvUuBXVCoIy8JeIutnxYoE4+PVhyFdrTiuaUjDQCkWq4P+Nj477g/hIHYIB910aJW6f32zr1YHF0K8QQhxVAhxTAjxgQbvG0KIz9Xef0gIsbH2+jIhxH1CiFkhxF8t2mevEOJAbZ+/FLW/ekKIUSHEvUKIZ2rfRzz9JgJA173/JxUWDp87zGhqlHWj67zvLCXJ3NFQzM8Hn+dBSpJHj3Z0fn6d+qoGRy8cXXKbZg7F7A6SM0ch5MVImjmUtm8neTTaDlEhdggH/eDQjHbvF/oNXdcjf8674VCySjjSIaWlfO2vWAUQClKpL0NXfZhWH+i345DUkihCmVsNwCuOlgbpIFpE9ZVCARQFmWy8SsDatRlKJYeZme4PcJx0GhwH0eZDyrg/hIPYIRx006FV6PK/N3lPAq9Z6k0hhAp8FLgDOAk8IoS4R0p5aN5m7wImpZSbhRBvBz4C/AegBPwBsKv2NZ+/AX6ZaiXfrwJvAL4GfAD4tpTyT2sPFT4A/E4Lv0CJ8jrJR84fYcfYDiYnJz3vqxdPolo5StlwDPT9nAf95EnUXK6j8/Pr1AseHjl3hBvW3tBwm2YOpcHtjJ76F7TyWazkqo60MQiaORS3b2fky19GO3sWa1U0HaJC7BAO+sGhBb7vF/qROOrkjqJZRFM07xFzAMdCOBUcLTMXba4P9Oup++04CCFI6SnylTyWY6F5zFisFgfUUOwitrbEtATLQlQq1Ur7S0TMly+v/m7Gx8sMDfn4PbWB1HWkpqEUCtgpfw9jIO4PYSF2CAehiehLKV/d5KvVf9o3AseklMellBXgs8Bdi7a5C/hk7d9fBF4rhBBSyryU8gGqA/45hBCrgUEp5Y9ktRTqPwFvbnCsT857vWtEdZ3kilXh2Yln2bFihy+HVG2+eHHw6qCb5gtfDrX54sUuDPRXZFawLL1sbrpEI5o5FLO1YnYhn6ffzCEqBfmi2qfnEzuEg35waEab9wt9Rxx1ao1pm1iORUr3Gc23iyAEjvrS/uPjwUX0AVJ6CiEERdPfPHVHTSGkjXAaL6+pFGsOTQbR69YNAPRknj6Ak0ohbBvRxhKhcX8IB7FDOAhNRF8I8Rop5XeEEG9p9L6U8l+a7L4WeHHezyeBm5baRkppCSGmgWXAhSbHPLnomGtr/14ppTxT+/c4sLLRAYQQ7wbeDbBmzRrGxsaYnp4mk8mgaRoTExOMjo5SKpVwHId0Os3U1BTZbBZFUZiammJkZIRirThJKpVicnKS4eFhEokEiUSC4eFhCoUCiqKQTCbnjmlZFvl8nqGhIfL5PJqmYRjG3PumaVIsFhkcHCSXy2EYBolEYu79SqVCuVwmm80yMzNDKpVC1/W598vlMpZlkclkPDk9cOQBLMfiuiuuQwjB2NjYnJPjOORyuaZOyeNPI4WKtnIPQ0am506JRAJd15c8T42clj3/PFJVGbzlFtKa1vHztGvVLo5NHsMwjIZO9fPQ6Norpa5HIljmvEhJ112fp25fe4ZhoGlaw/OUvuUWpBBknn6a1E/9lOvz1G0nINC/Eb1wmn8e/P6N6LWTlJKxsbFA/+5122n+eWj3714YafN+oe+Io06tKZgFFKGQ1BqnrDdFShSnhKMkQLwUs6oPhsfG2o/oAyhCwdAMSlaJTCKDIlrVsF7UTCUJIo9iFbETi6LxUqKUSjiJBDRZamvZsuqteq8G+jKZhHwepdjAwSVxfwgHsUM46KaDaLZGqBDiP0sp/0gI8Y8N3pZSyl9qsu9bgTdIKf9j7ed3ADdJKd8/b5unatucrP38bG2bC7WffwG4ob6PEOIG4E+llK+r/fxK4HeklD8uhJiSUg7PO/aklLLpPP2dO3fKz33uc8028UQmkyGfzwd2vG7xpae+xAe//UG+8s6vsGPtDs8OGx59L3rpLMdeEY77OD/nYcN734t27hzPfulLHWrVQv7iwb/gE499gofe+1DDlMVWDlse+AnKmU28cN1fdLKZbdHS4Sd+gvKmTbzwF9F1iAKxQzgI0mH37t2PSikbz/vpEe3cL4SFIO8JkrX51lEuwNhJB9uxuVi4SFpPM2AMeN5fWAVUaxYrMQLKS5GxD33oIN/61jjf+95rgWAcTNtksjjJgDHga2UAxZpFsQpYxjIQLy0fKAoF1NlZrJERaBLdU9UEu3bdwy//8lW8//1bfDm0izI7i1IoYC1bBqr3JRDj/hAOYodw0AmHpe4LWlXd/6Pa91/08ZmngPXzfl5Xe63RNieFEBowBFxsccz51eLmH/OsEGK1lPJMLcX/nI82t0VUb0YPnz9MJpFh3dA6Xw7JmSPMLn95h1rnHV8OR44w+/LuOWxbsQ3LsTg2cYyrxy6d8tDKoZjdTnpqfyeb2DatHErbtpE6cKCLLfJOVPv0fGKHcNAPDs1o836h74ijTs0pWdUb3HbS9qWiLRjkw8Kl9SAYB13V0VWdoln0NdB31BSKVUCxS9V6AjWUYhGpaU0H+VVsli83ehbRh2r6vlIoVDMQMpnWOywi7g/hIHYIB6GZo1+nVgX/L4UQjwkhHhVC/IUQYlmL3R4BtgghrhRCJIC3A/cs2uYe4J21f78V+I5skmJQS82fEULcXKu2//PA3Q2O9c55r3eN6enpbn9kIBw+d5jtK7ajCMWzg1Y+j165QGmw83Pb3eLZ4fx59AsXulKIr86OFS8V5GtEK4dSdjuJ0mnUSnivuVYOxe3bSZw+jRrifhPVPj2f2CEc9IODG3zeL/Qd8TzS5hTNIgk1gap4jw4Lx0RIe8Hc/Drj46W5+fkQnENSS2I7Nqbt4wZdqEglsaD6vjBNhG03nZtfR9d1Vq1K93Sgj6oiEwlE0V+tgrg/hIPYIRx008HtZKPPAueBf091QH4eaJrfJqW0gPcD3wAOA5+XUh4UQnxICPGm2mYfA5YJIY4Bv0W1Uj4AQojngP8B/IIQ4qQQoh72fB/wD8Ax4FmqFfcB/hS4QwjxDPC62s9dJePjKWevsR2bZy48Mzfw9OqQnKkWlCuGpOI++HCorefejUJ8ddYPryeTyCxZkK+VQ/3BSjK39BJ9vaalQ+33nTwaXYcoEDuEg35wcInn+4V+xDTNyEeeOuVQtsrVJfV8RvOFXQAh5pbUm081ov/ScYNySGrJalE+q52ifA7CrtZ+EYWawxJL6s3HNE1WruxtRB9qRfkcB1GrX+OFuD+Eg9ghHHTTwe1aIaullH887+c/EUL8h1Y7SSm/SnUJvPmv/eG8f5eAty2x78YlXt/HpUvuIaW8CLy2VZs6iaZ5W3olDDw/9TxFqzi3trtXh3rl99JgeAb6nh1qld9L27Z1ojkNUYTCtuXbOHK+cUS/lUOx9vtO5g6TX3Zj4O0LgpYO22sOhw+TvzGaDlEgdggH/eDgEl/3C/1GPVpj23aPW+KfTjkUzeJckTvPSAfFqeAoyUuWoysWbaanTVateum4QTkIITA0g7JVRiYkYoml8JZsdq1ooGKXsIWOUqngJC91aISu66xeneYHPzjvt/mBIGtFA5VSCdvwdu7i/hAOYodw0E0HtxH9bwoh3i6EUGpfP0U1Uh8zjyiuk3zo3CHgpbXdvTokZw5TTl+Bo3kvptMpPDscPkz5iitwBrrrsH3Fdo5eOIrtXNrRWznYiVFMYyzUS+y1dFi2DHNsLNRL7EWxTy8mdggH/eDgkvh+geoNXJRvRKEzDrZjU7ErbUTzSyAljto4mg8siOgH6ZDSUkgp5+oLeEIIHDWJcMqIYqHq4CKaD1WHlSsN8nmb2VnL+2cHhRA4yWQ1ou84nnaN+0M4iB3CQTcdmg70hRA5IcQM8MvAZ4BK7euz1Jaoi3mJsC571Iwj54+QUBNcOXIl4N0hlTtMKURp++DD4fDhrs7Pr7N9xXaKZpEXpl+45D03DsXBHSRz4R0ku3LYvp1kiAf6UezTi4kdwkE/ODQjvl9YiKIoKE2WTIsCnXCoD5J9LakHKE6pYRE+qM7PBxZE9IN00FUdVVEpmj7T92tTDbT8tMsifFUURWH16moRwJ6n79ceTigeq4XH/SEcxA7hoJsOTT9FSpmVUg7WvitSSq32pUgpB7vSwggRxaUejpw7wpZlW9DV6n84XhwUc5pE8RTFEBXiA48O09MkTp2aSyPvJvXpEo0K8rlxKGW3YeRPVCMcIcSVw7ZtGCdOIELad6LYpxcTO4SDfnBoRny/sBApJc2WL44CnXAoWSXfRfhwTIRjzQ2YFzM+Xh2Ar1r1UkQ/aIeUnsJyLH9F+RQNaQuUyqzraD5UHeorCfR6oI+mIXXdc1G+uD+Eg9ghHHTTwfXjBCHEiBDiRiHEq+pfnWxYFHE8pjL1Giklh84fmkvbB28OqZlqEbUwVdwHjw61QnC9iOhvXrYZTdEaztN341Aa3IGQNsncM51oXtu4ctixA2HbJJ+JrkPYiR3CQT84uCW+X4hphGmb2I7tb24+oDjlagG7Bmn7AGfPVovEjY35O74b6kX5fKXvA1gCcCDhLZoXmoE+1ai+sG1EpdLrpsTExLTA7fJ6/xH4HtV5dv+59v2DnWtWNEmnva+v2ktO506TK+fmKu6DN4dkLnwV98GjQ73ifg8i+rqqs3nZ5oYDfTcO9d97WNP3XTnUC/KFNH0/an26EbFDOOgHBzfE9wtVhBCeC7aFjaAdilYRIYS/tH0pUewSUlSL2jVifLzI6GgCw3gpWyBoB0UoJNREtSif14iclIiKRCYMhHRfuV4IMZelUJ+e0EtkMgmK4imqH/eHcBA7hINuOrh9pPgbwMuA56WUrwauA6Y61aioMjU11esmeKKeMr597KVBrheH1MwRTGMM2wjXEsmeHI4cwRwbw17WG4ftK7Zz5PyRS24Y3DiYqbXYWja0A31XDuvWYWezoR3oR61PNyJ2CAf94OCS+H6BagZH1LM4gnSQUlK2yhia4esGVzgVkE7DInx1zp4tz0W+63TiPKS0FI50KNvelpkTlQpIiZ0eRKn5uMFxHDRNMDqaCEVEHyFwDAOlUnFdlC/uD+EgdggH3XRwO9Av1ZbCQwhhSCmPAN1biywiZLPZXjfBE4fOH0IRCluWbZl7zYtDcubw3DJvYcKTw+HDFHuQtl9n+4rtTBQnOJc/t+B1Vw5CUMxuD23lfbcOpW3bQlt5P2p9uhGxQzjoBweXxPcLgKqqqKqPeeghIkiHsl2NgCebDNSbodglEEp1mbolGB8vXjLQ78R5SGgJFKFQMj0WpCuVQFGwU4PV6L7j7kFB3WHlymQ4BvrUivJJWa3A74K4P4SD2CEcdNPB7UD/pBBiGPhX4F4hxN3A851qVFSJWhXII+eOsGl004Jlbtw6CLuIkT9BKRuu+fngwaFYxDhxoifz8+vUp00sLsjn1qE0uJ1k7mmQ4VtqxK1Dcft2kk8/DSFcLiVqfboRsUM46AcHl8T3C4Bpmpimj4JtISJIh5JZqqa9a0sP1JdEOghZwVGMpuvOnz1bZtWqhQP9Tp2HpJakYldwXEblcRxEpYJjGKAmkEKtPrxwQd1h5cpkKFL3AdB1pKq6rr4f94dwEDuEg246uLrzkFL+pJRySkr5QeAPgI8Bb+5guyJJ1FIzj5w/Mlf5vY5bh2TuGQRO6CrugweHZ55BOE5P5ufX2baiGug6fP7wgtfdOpQGd6A4JYz8cwG3rH1cO+zYgVIqYTz3XEfb44eo9elGxA7hoB8c3BDfL1TRdR3d5fJpYSUoB9uxqdiVBUEFLwi7VF13vkk2QKFgMTNjXhLR79R5SOrVz3FblE+Uag61avtSTSIc09VD+rrD6tUhGuhTnasvTNPVQ/q4P4SD2CEcdNPBS9X964UQvw5cA5yUUsblNhcxMjLS6ya45kL+Aufy5xYU4gP3DqmZQ0D4Ku6DB4dDNYerr+5kc5qSSWS4YugKjp4/uuB1tw7FbPVBQXLmcIstu49rh201h8PRdQgzsUM46AcHt8T3C3HUaT5lq5re7b/afgmpaKAsfWNcT2nvVkRfUzQ0RXOdvq+USkhNg9rNff2hheJinn/dYc2aFLOzFrlcOK6r+kMLxUX6ftwfwkHsEA5CF9EXQvwh8ElgGbAc+EchxP/XyYZFkaLHdUV7yaFz1UHuzpU7F7zu1iE1cwhLH8FMrg68be3i2uHQIazRUcxVqzrcouZsH9t+SUTfrUM5cyWOkiCZO9p64y7j2mHTJpxEguTR6DqEmdghHPSDgxvi+4UqcdTpJYpWEV3V0RTN+86OhXAsHKX53P56pLtbEX2opu9bjoXlWM03tCyEZc0NjAEQKlLREXbrvwt1h/pDjNOnQxLVV1Wkrruqvh/3h3AQO4SDbjq4/av7s8CeeQV2/hR4AviTDrUrpsMcPHsQgbgkou+W5PRBikNXN50vF3aSBw9SvLr3DjtW7OCbz3yTmfIMg8agt50VndLAFlIhjOi7Rtcpb95MKoQR/ZiYGM/E9wsQ+YgTBONg2ia2Y5M2/C0vqTjVQa1sUcSvWUS/UxiawWxllrJVRkssfTtdn8cukwvb5igGqjULjtk0W6HusGZNfYm9Itu2haO4p2MYqLOzYJpz2QqNiPtDOIgdwkE3Hdym7p8G5v+FMoBTwTcn2qRS/uaf9YKD5w6yaXQT6cTC/3zdOAi7SDL/LMXBnS237QWuHIpFks8+S3Fn7x3qdRLmp+97uZaqBfmOgNc1fTuMF4fijh3VJfYi7BBWYodw0A8OLonvF4ijTnXKVhkhhO+0fWGXqpX2RfPb1V5E9FVFJaEmKJrNI9qiVEImErCoIGf94YXSovr+/Dn6AKdPhyc7SLpM34/7QziIHcJBaOboCyH+lxDiL4Fp4KAQ4hNCiH8EnuIyXBe3FZOTk71ugiuklBw8e/CStH1w55DMHUVIm+JQ7wfJjXDlcPQowrZDNdA/fO6liLaXa6mU3YFmTqOXxgNvWzt4cti+HW16Gn08ug5hJXYIB/3g0Iz4fmEh8TzSKiWrREKtLkfnFeGYCOngqK0fEoyPl1i2LEEisfBzOn0eDM3AkQ6m3fgzhGkiHKdabf+SNxWkYlSLDTah7rBsmYGuC86cCUnqPoCiIA2jWmywCXF/CAexQzgI0xz9fcCjwJeB3wPuA+4Hfh+4u6MtiyDDw8O9boIrzuXPcaFwgavHLi1C58YhNX0QILQRfVcOB2sOIRjoL88sZ0VmBUfOv7TEnpdrqThYfVCQzIUr9d2TQ23lg7AV5ItKn25G7BAO+sGhBW3dLwgh3iCEOCqEOCaE+ECD9w0hxOdq7z8khNhYe32ZEOI+IcSsEOKvFu1zf+2YT9S+xtq2dEkcdaqm7TvSaSuajxBIpfX+p08X51Lb59Pp85DUkgghlqy+L0o1h0YDfcBRDYR0EM7S9SrrDooiWLUqxZkz4YnoQzV9X9SWD1yKuD+Eg9ghHIRmjr6U8pP1fwshEsDW2o9HpZTRfpzSARzH5XqqPebg2eogt1FE341DauYQZmI5ltG1eyZPuHI4dAhzxQqssXA4bFu+bUFBPi/XUmlgCxJBauYIubHXdKJ5vvDiUN66FSkEqSNHyL0mmg5hJXYIB/3g0Ix27heEECrwUeAO4CTwiBDiHinloXmbvQuYlFJuFkK8HfgI8B+AEtVl/HbVvhbzs1LKfT61fBP1iBO071CyStW0fRcR+UYoThkpWqftA5w5U2Tr1ktr3HT6PAghSKgJylaZgcQAYlHNH6Vcbpi2X0cqBgjx0hSFBsx3WLMmGa6IPlQfYgjx0hSFBsT9IRzEDuGgmw6uivEJIW6nWkX3OUAA64UQ75RSfq9jLYsguVyu101wxcFzB1GFyrbl2y55z41DavpgNW0/pIX4XDkcPBiKaH6dHWM7+OELP6RslTE0w9O1JLU05czG6jz9EOHFwUmnqWzYUJ2nHyKi0qebETuEg35wcIPP+4UbgWNSyuO1Y3wWuAuYP9C/C/hg7d9fBP5KCCGklHngASHE5nbbrigKmqahqiqO48wN2qSUKIqCbdtomoZpmui63vR7JpPBcRxM00TWao8IIXAcB1VVXR1D13Usy2q7PX6PMTAwgGmacx66rmPbNoqitHTSNI2J0gSDmUE0VfPcHquUx0jolEWaZDLZ1AngzJkSr3nNagzDWODUyGHxd7dOS30fHhjm4uxFhCbQFf2lwX65XG1HJoPewGHu82WalGJTVlVUTbvk95JKpbBtG9u2Wb06zQ9/eAFVVZu2q10nr9eNnU6Tsm1KioKeSFxyDF2v/l7K5bKv/tQLp8XfFUVB13Xy+XwgfyN64VR3mJ2dDfzvTLecNE1D07RLHDrxt7NTTslabYtSqRTY3/Il/19r/V8fAP8deL2U8jYp5auAHwP+3OW+lw1RSc08ePYgVy27ipR+aZpbKwfFKmDkj4c2bR9cOBQKGMePVyvuh4TtK7ZjS5tjF48B3q+lUnY7yZlwDZK9OswV5AsRUenTzYgdwkE/OLjEz/3CWuDFeT+frL3WcBsppUW1FsAyF+35x1ra/h+IxeFWQAjxbiHEPiHEvomJCReHc4dt21hWi2XXQo5lWb4dKnYFKSVJrXm1/KUQjvu0/YsXy5TLTsPU/XYc3JJQEw3T91ul7deRShKkXDJ937IsbNsGqpX3z50rUamEK0NIJmsOS6Tvz3eIKt24ljpN7BAOutkf3C6vp0sp50qCSymfFkJEe4JEBygUCr1uQkuklBw6d4jbr7y94futHJK5wwhkaAvxgQuHw4cRUoYrol9b5vDw+cPsXLnT87VUGtzB8PjXUCtT2InhDrTQO54dtm9n+GtfQ52awg7JoCgKfboVsUM46AcHl4TpfuFnpZSnhBBZ4EvAO4B/mr+BlPLvgL8D2Llzp2x1E1l/r36TttT3+nblBtXI62mbrY6x+FhBtMfLMSzLqg5ga4XWmt2YLnaaKc8gHYljOkghvbXHNNHMIkVFx9Ed7EWfv/gYzz8/A8DKlYm533f9vaUcFn9349Tsu4pKrpDDwKhG2qREy+cxdR3HtrGaHkOFiomjzGJK9ZJ21KN15XKZVasMpITTp/OsXy876jT/99iIBdeNooBp4uTzlDTtkmPUMy0qix4EuL1+e+K06LthGHODzCD6ZC+c6g71DBE/x+i1UzOHqDjV+/T8FP4g/pY3wm1E/1EhxD8IIW6vff091cI7MfNoljoRFs7kzjBZnGw4Px9aO9QL8ZUGwxMNX0xLh3ohvhBF9NcNrSNrZOfqJ3i9loq185GaOdRiy+7h2aF2PlKHousQRmKHcNAPDi7xc79wClg/7+d1XLok39w2QggNGAIuNjuolPJU7XsO+AzVKQJdwXGcyNdl8OsgpaRslUloiUvmrLtBOBWQTjXS7YLTp6uD+NWrL43od+s8JNUkUkoqdnUgKyoVcJy55eda4SgGilNpuMTsfIe64/h4uAryIQROIoFSae0QVWKHcBA7eMPtncevUJ0r9+u1r0PAezvVqKiSdPkHvZfMFeIbazzQb+WQmjmImVyJZSwPvG1B0dLh4EEqq1ZhLw+PgxCCXSt38dTZpwDv11Jx8OpqQb7pA51oni88O9QyLFIHousQRmKHcNAPDi7xc7/wCLBFCHFlrZDf24F7Fm1zD/DO2r/fCnxHygYjihpCCE0Isbz2bx34capL/XUFIYSvQW6Y8Oswl7avtpO2ryxZnG4x9Sr0a9Zc+nndOg+6qqMIZS59X5RK1aXnlihOtxipGrX0/UszQOY7rF5ddaw/3AgTzdL3L+f+ECZih3DQTYeWqfu1arhPSim3A/+j802KLkHO7+sUB88dRFM0ti7f2vD9Vg6p6UOhnp8PLhwOHQpV2n6dXSt38fF9H6dklTxfS46epZzZSGq6a/exLfHskM1S3riR1FPRdQgjsUM46AeHVvi9X5BSWkKI9wPfAFTg41LKg0KIDwH7pJT3AB8DPiWEOAZMUH0YUP/c54BBICGEeDPweuB54Bu1Qb4KfAv4+/YtY1pRskooQiGhuRvkLkBKFKeCU6tG74bTp4tksxrZbO9mlAohSGjV6vvScVAqFRzDvYNUqqsLCKeMbPKAZNWq6nthW2IPmFtdQJRKLesSxMTEdIeWEX0ppQ0cFUJc0YX2RJrR0dFeN6ElB88eZMvyLUv+B9zMQTFzGIXnQj/Qb+qQy2E89xylEA70d67ciS1tjpw74utaKg7tqg70lw5ydRVfDrt2VQf6EXYIG7FDOOgHh1a0c78gpfyqlHKrlPIqKeWHa6/9YW2Qj5SyJKV8m5Rys5TyxnqF/tp7G6WUo1LKASnlOinlISllXkq5V0p5jZRyp5TyN2rt6wpSyrkKzVHFj0M9fd3Q/A30hFMGKZsOdhdz5kyxYdp+vT3dOg/19H2zkKs6eMziWSp9f76DYagsW5YI3RJ7dRzDaJi+f7n2h7ARO4SDbjq4Td0fAQ4KIb4thLin/tXJhkWRsFeBlFJy8NzBJdP2oblDaqa6znuYC/FBC4fDNYcQDvR3r9wNwFNnn/J1LRUHd6FXLqCVzwbdNF/4cSjs2oV+4QLa2eg6hI3YIRz0g4NL4vsFqjUZol6XwY9D2S63WW2/7CltH6pp7I3S9qG75yGhJVCEQqUw4yltv45Ukw3T9xc7rFmTCmVEH+al75ebO0SR2CEcxA7ecFt1/w862oo+IZ/P97oJTTk5fZJcObdkIT5o7pCaqRWxC3EhPmjhEMJCfHXGBsYYy4zx1NmnfF1LxaFdAKSnn2ImuSro5nnGl8OumsNTTzGzKpoOYSN2CAf94OCS+H6B5pWao4Ifh7JVRhEKuuojjX4ubd/bQ4LTp4vs3TvS8L1unwdDTWAXL2CPDHneVyo6Uigodhl7XkbDYodVq5I880yu7bZ2AqnrSEVBKZexk0s7RJHYIRzEDt5o+jhBCJEUQvwm8DZgO/CglPK79a9uNDBKDA15/8PeTQ6ea16ID5o7pGYOUkmtxU40/g81LDR1OHiQytq1oVm+bTG7VlUL8vm5lkrZbThCC808fV8O27cjNS008/TD3qfdEDuEg35waEZ8v7AQTdPQNLexlHDi1aH9tP1KLW3f/f4zMyazsxZr1jRO3e/2eUg5CtJxKPn8SKkYCLkw9X2xQzWiXwpt+rI0jGpBviYOUSR2CAexgzda5Q18ErgBOAC8EfjvHW9RhAl7xObg2YMk1ASbl21ecpum0fDpg6GP5kPriH4Y0/br7BrbxfNTz3P6wmnP+0rVoJzdGpqBvp/+IA2D0pYtoRnoh71PuyF2CAf94NCC+H5hHqZpLlgjOYp4dahX2zc8DNTnM1dtX7jPBqinsC81R7/b5yFh2iiqRkn4WzqrUfr+YofVq5OUyw4TE5dWtw8DjdL3L8f+EEZih3DQTYdWA/2rpZQ/J6X831SXs3llF9oUWcL+hOnguYNsW76taUrdUg5qZZpE8WToC/FBE4fpaRInT4Z7oL+qmrpez77wSmFod3WKhez9GqN++0Nh9+7qFIsQrJMa9j7thtghHPSDQwvi+4V56LqOrveuCnwQeHUIptp+wnWlenhpmbml5uh39TxIiVKpoKUHqDimr4j7/PT9Oosd6g81xsfDWZBvfvp+ncuxP4SR2CEcdNOh1UB/7nGDlPKyqSTkFyPEy4nYjs2hc4e4eqx5RH4ph7n5+UPhj+gv6RDi+fl16vUT/A70i0M7Ua1ZEvnnAmyVP/z2h+KuXaizsySeey7YBvkgzH3aLbFDOOgHhxbE9wvzuNyiTvW0fV+DfOal7Sve+snp0+GJ6NfT1RPpQaSUlO1y650aINVkLX2/+rD70oh+1bXuHkZkMrkgff9y6w9hJXYIB2GK6O8RQszUvnLANfV/CyFmutHAKBHmdZJPTJ4gX8lzzeprmm63lENqej8SQXFwVyeaFyhLOuzfjxRiruBbGBk0Btk4vJGHjz/sa//iULVyf3rG34OCIPHbH+YK8h2MrkOYiB3CQT84tCC+X5jH5RZ1qqftJz0sizcfP9X2oZq6bxgKy5Y13q+b50GUy6AoaKkMilAoWz4H+opRS9+vpuYvdqhnL4R1iT2oTsObn75/ufWHsBI7hIPQRPSllKqUcrD2lZVSavP+PdiVFkaIMK+TfGD8AAC7V+1uut1SDqnpA5Qzm3D0bOBtC5olHQ4coHzVVTgDA11ukTd2rtzpO6JfzlyJraZITR8IuFXe8dsfyps2YadSpA5E1yFMxA7hoB8cmhHfLyzkcos6le0gqu3rntL2oRrVXr06iVhiv66dh1ravqNXHQzNmHv44flQi9L3FzsMDuqkUmpol9iDS9P3L7f+EFZih3AQpoh+jAfCfOE9Of4kWSPLhuENTbdr6CAl6an9FIebPyQIC0s67N9PcXf4HXav2s14bpyzsz7WkhcqpcGdpKZ7Hw333R9UldLVV89NteglYe7TbokdwkE/OMS453KKOkkpqVjVtP2lBtzNENIE6SA9LqsH1aj2Umn70L3zIEwTHKdaiA5Iasn20vfnVd9f7CCEmKu8H2bmV9+/nPpDmIkdwkFoIvox3igWw/t09cD4AXav3I0imp/yRg6J4kk0c4rCUPgHybCEw8mTaFNTFCIw0K/P03/qrL/K84WhXSRnDiOc3g4s2ukPxV27SB4+XL156iFh7tNuiR3CQT84xLjncoo6mbaJIx3/1fbtEgjhOW0fqhH9pZbWg+6dB1GqOSSqDrqqt5e+P6/6fiOHVauSoY7ow8Lq+5dTfwgzsUM4iCP6EWVwMJzZiYVKgWMXj7VM24fGDqmp/QAUh5rP7w8LDR321xyuCb/D9hXb0RSNg2f9FuTbhSJNjNzTAbfMG+30h8KuXSimifF0dB3CQuwQDvrBIcY9l1PUqWSXEEKQUP0V4vNTbR+gVLKZmKiEIqKvVCo4iYUOQaXvN3KoRvRDPtCfl75/OfWHMBM7hIO+iegLId4ghDgqhDgmhPhAg/cNIcTnau8/JITYOO+93629flQI8WO117YJIZ6Y9zUjhPjN2nsfFEKcmvfenZ10a0Qul+v2R7ri4LmDONLhmlWtB7mNHFLTB3DUFKWBzZ1oXuA0dDhwADuVonTVVT1okTeSWpKtK7bO1VXwSnGoWswu1eOCfO30h3pBvl6n74e1T3shdggH/eAQ4x7LsrCsaC8+4NahYlVIqD7T9p1KLW3fezZAfaC71NJ60J3zICqVatr+opU1DNUIJH3fMs1LHFavTjI5aVIs2r7b3Q3q6fuNHKLG5dSnw0zs4I2ODfSFECrwUeCNwNXATwshFq9r9i5gUkq5Gfhz4CO1fa8G3g7sBN4A/LUQQpVSHpVSXiulvBbYCxSAL8873p/X35dSfrVTbksR1uWT9o9Xo9luIvqNHNLT+ykOXg1KNNaBbuiwfz+lnTshImtZX7/u+rkHNF4xk2uwEqOke1yQr53+YK5dizUyQrrHBfnC2qe9EDuEg35wiHGPqqqoqtrrZrSFG4eKVcGRDknNZ7V9u1xL2/cz0K/OUW8W0e/GeRDlmsOiPp7QEoGk72vCusSh7hz6qH4tfV+zLnWIGpdLnw47sYM3OhnRvxE4JqU8LqWsAJ8F7lq0zV3AJ2v//iLwWlF9JHwX8FkpZVlKeQI4VjvefF4LPCulfL5jBh5JJPylrXWaA+MHWD+0npHUSMttFzsIp0Jy5giFiKTtQwOHSoXkkSORmJ9f5/orridXzvHC1AvedxaC4uBOUtP+5vgHRVv9QQiKO3eSeirCDiEhdggH/eAQ4x7HcXAc7w9qw4Qbh7JdbjNtv4wU3tP24aV15JvN0e/GeVDK5erc/AYO7abvIxSkWbjEYfXq6oOV8fGQF+TTdVAUZLF4WfSHsBM7hINuOnQyvLkWeHHezyeBm5baRkppCSGmgWW113+0aN+1i/Z9O/B/Fr32fiHEzwP7gN+WUk4ubpQQ4t3AuwHWrFnD2NgY09PTZDIZNE1jYmKC0dFRSqUSjuOQTqeZmpoim82iKApTU1OMjIzMFVZKpVJMTk4yPDwMVG/mhoeHKRQKKIpCMpmcO6ZlWeTzeYaGhsjn82iahmEYc++bpkmxWGRwcJBcLodhGCQSibn3K5UK5XKZbDbLzMwMqVQKXdfn3i+Xy1iWRSaTWeB04OwBbr3qVgYHB1s6VSoVxsbG5pzUc/tQpEniilsZGBgIjVOz8ySEQNf1OafE44+jmCaV665jxYoVOI5DLpcL3Xma77RrrJq6fvjCYfZu3tvy2lvsZI/dwMCh/0mCMsNj63vipCgKmqb570833ojx53/OynSavKL05DyVSqVA/0b04tqbfx789KcwOBWLRcbGxgL7G9ELp/nnod2/ETHhx08ae9hw41C2ym2k7Ver7Tuav2yX06eLqKpgbGzp/Tt9HurV9p0lMnYM1aBoFqnYFQwfno5ioEuTxY8J6g836g87woxjGOiVyiUOUeNy6dNhJ3bw+Fl+njK6OrAQbwXeIKX8j7Wf3wHcJKV8/7xtnqptc7L287NUHwZ8EPiRlPLTtdc/BnxNSvnF2s8J4DSwU0p5tvbaSuACIIE/BlZLKX+pWRt37twpP/e5zwXmPDY2xrlz5wI7XhCM58a54+N38IHbPsDPXvuzLbdf7DD6/D+z5sifcuS2b2ElV3ayqYFxicM//zNr/vRPOfLtb2ONjfWwZe5ZtnwZmz+0mTfteBO//+rf97z/wPkH2PjYezlxwz+QX7b4+Vp3aLc/DHz/+2x83/s48Q//QP6maDqEgdghHATpsHv37kellDcEcrCYOYK8J6hncFQqlUCO1wtaOZi2yWRxksHkoK/UfcXMoTglrMRyXxH93/3d/Tz66ATf/ObtS27T6fOg5HIopRLW8qUdLuQvoKs6Q8khz8cXToUkeRx9iLL9UhKuZTnccMO9vOtdm/i1X9viu/3dQFQqJPN5nKEhykp0a4BfDn06CsQOjVnqvqCTPe4UsH7ez+tqrzXcRgihAUPARRf7vhF4rD7IB5BSnpVS2lJKB/h7Lk317zhhvOjq8/PdFOKDSx3SU09iGmORGeRDA4cnn8RcuTIyg3wA27LZvWo3T5550tf+heHq+U5PPRFgq7zRbn8o1FZISD/xRACt8UcY+7RXYodw0A8OMe6RUvpK1w4TrRxKVrXavu9l9dpI24dqNLvZ/Hzo/HkQTdL26yS0RBvp+wmkFGAtTNHXNIWxMSP0c/QBZCKBFAJK4Z5m0IrLoU9HgdjBG50c6D8CbBFCXFmLwL8duGfRNvcA76z9+63Ad2TV/B7g7bWq/FcCW4CH5+330yxK2xdCrJ73408CXZ/cWy77K7jSSQ6MH0BXdbYt3+Zq+8UO6ekDkZqfDw0cDhyYGzRGhXK5zJ7Ve3j6wtMUzILn/R19kFLmKtJT/h4UBEG7/cEZGqK0aRPpJ6PrEAZih3DQDw4x7lFq042iTCuHdtP2hXRwfM7th2ohumbz86Gz50GYJsJxqsvqNSGpJpFSUrH9PewTehoVExYNDFavTnHqVPgH+gAinUY1L3WIEpdDn44CsYPHz+rUgaWUFvB+4BvAYeDzUsqDQogPCSHeVNvsY8AyIcQx4LeAD9T2PQh8HjgEfB34VSmlDSCEyAB3AP+y6CP/qxDigBBiP/Bq4P/plNtSZLPZbn9kS/aP72fHih0kNHf/mc53UCsTJIonKQ5Hp4gdLHKYmCBx8iTFCBXig6rDnlV7sKXNwbP+lpgrDO8hNb2/Z/+xBtEfinv2kNofbYdeEzuEg35wiHGPbdvYdriXPmtFMwfTNnGk42veOVSj+X6r7UM1df3cufJcUbql6OR5WKra/mLq1fdLlr+ItiU1HNuuLkU4j3XrojPQt7SaQ4Qzm/q9T0eF2MEbHX2cIKX8qpRyq5TyKinlh2uv/aGU8p7av0tSyrdJKTdLKW+UUh6ft++Ha/ttk1J+bd7reSnlMinl9KLPeoeUcreU8hop5ZuklGc66daImZmZbn9kUyzH4tC5Q67T9mGhQ71qe9Qi+gscalXboxbRn5mZYc/qPQC+0/eLw3vQzGkShecCbJl7gugPhWuvRZueJvHcc+03yAdh69N+iB3CQT84xLhH0zS0iCznuhTNHMpWe9X2hV1CimpVeT+cO1fGtiVr1zaP6HfyPIhSaa6qfCvaSd9XjTSqpiOchQ8K1q5Nce5ciUol/BXI1XQaVdcREU7f7/c+HRViB29EO/chZKRSzf/D6TbPXHiGklVi9yr30ez5DumpJ5FCpTh4dSea1zEWODz5JFJVKV4dPYeh5BBXjlzJE2ee8HWMwvC1QO/m6QfRHwp7qg87ejVPP2x92g+xQzjoB4cY95imiWmavW5GWzRzKFklEmo1Uu2ZubR9f9F8eKnafKs5+h07D/W0/RbR/DrtpO+bpknFUVCcyoLstrVr00hJJObpm6ZJRVFQKpXIpu/3e5+OCrGDN+KBfoDout7rJizgwPgBAE8D/fkO6ekDlAY2I7V04G3rJAscDhygtGULMmI32XWHPav3sH98v68oQDmzEVvL9myefhD9oXzlldjZbM/m6YetT/shdggH/eAQ4x5d1yN/zpdyqKft+43mK061XoXftH14aXDbao5+p86DUqu50Sptf64dqu47fV/XdVRjAKRckL6/bl3VPQrp+7quow7UHCKavt/PfTpKxA7eiAf6ATIxMdHrJixg//h+RlIjrBtc53qfOQfpkJp+iuJQtOa2wzwHxyH11FORm58PLznsWb2HyeIkL0y94P0gQqEwfE3PBvqB9AdFoXDNNT0b6IetT/shdggH/eAQ455+jjqVreog1/f8fLuMVBK+0/bhpcHtqlXN5+h36jzMVdt3WVBLCOE7fd80TUxbgFAWpO+vXVsNwpw86b1gb7cxTRNTCFCUyKbv93OfjhKxgzfigX6AjI6O9roJC9g/vp/dK3d7qohbdzDyz6FaucjNz4d5Ds89h5rLUYjgQL/usGdVbZ7+uM9l9ob2YMw+i2LmAmubW4LqD4U9ezCefRYlF12HXhI7hIN+cIhxTz9Hncp2uc20fRtH8V9tH+DkySJjYwbJpNp0u46cB9NE2HbLavuL8Zu+r+s6eiKBoyQWpO+PjRnouuDkyWhE9PVEAieRiGz6fj/36SgRO3gjHugHSJiWT5osTnJi8gTXrbnO0351h/TU4wAURq4NumkdZ87h8ZrDdd5+B2Gg7nDVsqsYSAzwxOknfB2nMHItAkl6+kCArXNHUP2hsGcPQkrSB6Lr0Etih3DQDw4x7unXqJNpm9iO7Tuar9RSz6XaPBLfipMnC6xb13paYSfOg1JLPZdJbw719P2y7e1vQd1BqskF6fuKIlizJhqV9+ccksnIpu/3a5+OGrGDN+KBfoBYltXrJsxRL+DmdaBfd0hPPoalj1BJbwy4ZZ1nzuGxx7BGR6ls2NDjFnmn7qAIhWtWXeM7ol8c2o1EkOpB+n5Q/aF4zTVIIUj1IH0/TH3aL7FDOOgHhxj39GvUqR6N9p+2X0Iq/qvt1zl1qjg3R70ZnTgPXqrtL9ivnr5veUvfrzvUVymYn76/bl2aU6fCn7o/51D7vUUxfb9f+3TUiB28EQ/0AySTyfS6CXM8fvpxNEVj58qdnvarO6SnnqhG8z2k/YeFOYcnnqBw7bWRdoDqPP1jF48xW571fBxHG6A8sLkn8/SD6g/OwADlzZt7Mk8/TH3aL7FDOOgHhxj39GvUqb1q+1Ytbd9/ET6ASsXh7NlSbyL6llVN23dZhG8xhmrgSAfTdt+mOQchLknfX7s2WhF9hKim75tm5NL3+7VPR43YwRvxQD9Apqene92EOR4//Tg7V+4kqXlLLZuenkYtX8AovEB++PoOta6zTE9Po164gPHCC+Svj65DnT2r9+BIhwNn/aWuF4b3kJ7eD7K7a+0G2R8Ke/aQ3r8fnOg69IrYIRz0g0OMe/ox6mQ5FrZjk9DarLbfxrJ6UF1aT0p6EtH3Wm1/MQk1gRCCku0+oj3fYXH6/tq1KaamTGZnw50xtMDBMMBxIpe+3499OorEDt6IB/oBEpaITdkqc/DcQa5b7X1ueiaTIVNbdz2K8/Oh5lBbd71w7bU9bYtf5l9Lu1ftRiB48ozPgnzD16JaOYz88aCa54og+0Ph2mtRczmM49F16BWxQzjoB4cY9/Rj1Gmu2r7PgbpwyrW0/eYF9FpRrzLfi4i+KJer6eeqPwchBAnVW/r+fIeX0ver56JeeT/s6fsLHGqrFYiI1S3pxz4dRWIHb8QD/QDRNK3XTQDg4NmDmLbpeX4+VB3Sk4/hKAalwas70LrOo2ka6ccewzEMSldH16HOoDHIVcuuamOgX63c3+30/SD7Q2FPzaHL6fth6dPtEDuEg35wiHFPP0adylYZXdVRFR+DXMdCOBayzbR9YK7KfNcj+paFsCzf0fw6SS3pKX1/gcOi9P367yDslfcvcYhg9f1+7NNRJHbwRjzQD5CwrJP8+JlqtflrV1/red+JiQnSU09QHNpZXec2gkxMTJB+/HGKu3ZVn7xHkMXX0p5Ve9g/vh/HR/p9Jb0BSx/u+kA/yP5Q2bABa3i46wP9sPTpdogdwkE/OMS4x7ZtbNvudTPaYr6D5VhYjtV2tX2nzbR9qEb0DUNh+fLWxwryPNSr7fudn1/Ha/r+YgepGCAdhFOZG+iHfZ7+JQ719P0IRWb7rU9HldjBG/FAP0DCsk7y46cfZ+PIRkbT3tszOpgkNXOYQkTn5wOMGgapI0ciOz8fLr2W9qzew0x5hucmn/N+MCEoDF9DqjYlo1sE2h+EoHDNNaRqUzK6RVj6dDvEDuGgHxxi3KMoCorHquxhY75DxapV2/edtl9CKlrbaftQjV6vW5dGuCi0G+R5EKUSUtN8p+3PHcdj+v5iB6kkQAiEU2ZwUGdgQAt96v4lDomaQ4Sq7/dbn44qsYPHz+rKp1wmlELwB8uRDk+ceYLr1/gb5MrTDyGkRX4kemvP15EPPYSwLArXRddh8bV07ZprAXjs9GO+jlcYvo5k/gRqZbLdprkm6P5QuO46kidOoE5G16EXxA7hoB8cYtwjpfS0hFoYme9Qskr+0/alXUvb91YceClOniy4StuHAM+DbVfT9pPBOHhJ37/EYV76vqA6heHFF8Md0W/oELH0/X7r01EldvBGPNAPEKfLFcEbcWLiBNOlaV9p+wCJ8w8DL83rjiKJRx5BCjE3rzuKLL6WNg5vZDQ1ymOnfA70R/YCkJ70t78fgu4Phb01h8ei69ALYodw0A8OMZcntmNX0/Z9RvMVu1p0zQlgOqCUsjbQb12IL0jq1fadRDBTGv1U35+PVJLV9H1psn59mhdfDHdEvxEymYxc+n5MTNSIB/oBkk539z+eRtTn5/uN6KennqA0sBlHHwqyWV0l/fjjlDdvxhkc7HVTfLP4WhJCsHftXvad2ufreMWhnTiKQWbS3/5+CLo/FHfuxDEMMo8+GuhxmxGGPt0usUM46AeHGPcIIVylloeZusNctX2f8/Or1fY1UNovSDk1ZZLP264j+kGdB1EuV9P2AyqqOT993822ix3m0vftEuvXpzl5soBthzfK2dAhYun7/dSno0zs4I14oB8gU1NTvW4Cj59+nNHUKFcMX+F9Z2mjnXuYwnB0U96xbbSHHyYf4bR9aHwt7V27lzO5M5yeOe35eFJJUBi6hsxk9wbJQfcHmUhQuOYaMvu697AiDH26XWKHcNAPDjHucRwn8lkcdYeyXUZTtDbS9s1Aqu2Dt6X1IKDzYNsI02y72v5i6un7rQb7DR3mpe9fcUUKy5KcPRveAfOSDhFK3++nPh1lYgdvxAP9AMlms71uAo+dfozr1lzn60lRMncM1ZqN9Pz85LFjqPl8pOfnQ+Nr6Ya1NwDw6Cl/g/XC6A0kZ46imLm22uaWTvSHwt69JI8eRclF16HbxA7hoB8cYtyjqipqm0Xbeo2qqiDAtE2Smr+56WIubT+ogb77pfUgmPNQX++93Wr7i6mn75ft5uvJL+VQT9/fuL66utALL4Q3fX9Jhwil7/dLn44dek83HeKBfoD0ugrk+fx5Tk6f5Lo1/ga56alq2n+UI/r1+dtRH+g3upa2LN9C1sj6HujnR/YicEh3qfp+J/pD/oYbEI5DukvV93vdp4MgdggH/eAQ4x7TNDEjMHhphmma5IrVh6oJzd/cdCXAtH14aTC7dq27iH4Q50EJOG2/Tj19vz41YimWcqin729YWx0wvPBCPtD2BcmSDhFK3++XPh079J5uOsR3HgHS69TMx09XB+q+B/qTj2EaY5iptUE2q6ukH38cc+VKzDVret2Utmh0LSlCYe8a//P0C8PXIIXWtXn6negPhWuuQWpa1+bp97pPB0HsEA76wSHGPbquo+t6r5vRFrqu4wgHTdHQ/AzUA07bh+pgdmzMIJVyFw1r+zx0KG2/jqEZLdP3l3Sope+PjQoSCSXUBfmaOtTT90NOv/Tp2KH3dNMhHugHyMjISE8///HTj5PUkuxYscPX/umpJ7BX3QwRLnKRfvxx7Juj7QBLX0t71+7l+annOZ8/7/mYUk1RHNrZtXn6negPMpWiuHMn6S4N9Hvdp4MgdggH/eAQ455+iDqVyiWK5WJo0vahGtHfsCHjevt2z0On0vbrGKrRMn2/mYNUkihCctUGPdRL7DV1qKfvh3yw3w99OnYIB3FEP6IUi739I/vY6cfYtXIXuur9KZFePEOidCbSafv66dMkxscjn7YPS19L7c7Tz4/cQGr6IMLu/LXaqf6Q37uX1FNPIbrQ33rdp4MgdggH/eAQ455+iDrZwkbTtNCk7UN1oH/FFe5XsGj3PHQqbb+Om/T9Zg719P1NG7RQp+43dain75ebT2HoNf3Qp2OHcBBH9GM8M12a5sj5I7xs3ct87Z+ZeBiA0oqbg2xWV8k8XHO4OboOrdg+tp2Unmpvnr60SE/tD7hl3SO/dy+KZZHeH12HmJiYhQgh3iCEOCqEOCaE+ECD9w0hxOdq7z8khNhYe32ZEOI+IcSsEOKvFu2zVwhxoLbPX4oursnUD1GnfCkPDqFJ28/lTCYmKp4G+m2dhw6n7depp++bduN2NnWope9fuV7jxRcLyJBWr2/pkEighHyg3w99OnYIB3FEP6KkUu6qwHaCR089iiMdblx/o6/9MxMPY+kjaKuuDbZhXSTz8MNYo6Noe/b0uilts9S1pCka162+zv88/ZHrkChdmaffqf5QuO46pKJ0ZZ5+L/t0UMQO4aAfHDqFEEIFPgq8Ebga+GkhxNWLNnsXMCml3Az8OfCR2usl4A+A/9Tg0H8D/DKwpfb1huBb35ioR51sx0YKyUBqwNf+nUrbBzyl7rdzHjqdtl+nnr5fshoXpGvlIBWDdWuTOGaF8+fDOVhu6WAYoU/fj3qfhtghLHTToTO5SJcpk5OTPfvsR04+gqEaXLPyGu87S0lm4mHyozcwOTUdfOO6gZQMPPww+RtuYHI6og7zaHYt3bD2Bv7yh3/JVHGK4dSwp+M62gClwe2kJzo/SO5Uf3CyWUrbtnVlnn4v+3RQxA7hoB8cOsiNwDEp5XEAIcRngbuAQ/O2uQv4YO3fXwT+SgghpJR54AEhxOb5BxRCrAYGpZQ/qv38T8Cbga8t1QhFUdA0DVVVcRxnbplaKSWKomDb1VR20zTRdb3p9/r2hmHMRVmFEDiOg6qqro6h6zqWZbXdHj/HmMpPoaoquqKTSCTmXrdtG0VRWjoZAiwMkumBwJzOnKlGwLZsGXF9nurtSiaTS/5+lnLSAcswSA5c6hD0ecqms5QqJQzDuOQY9fYs6WAMsW79AEnd5NSpMldcMez6PHXr2qvvl0gkGh9jaAhZKJAQgrKqejpP3XJyHAdd1wP7G9ELp7qDuuh3HMS57paTlHLuHHT6+u2UU/0Yuq4H9rd8yf/XlnwnxjPDw8M9++yHTz7MtWuu9TWXLlE8SaI0Tn70xp46tEPixRfRz54lf2N0HebTzGHv2r1AtSaDH/Ije0lP70c4nX1y3snzkN+7l/STT3Z87d1+v5aiQuzQ96wFXpz388naaw23kVJawDSwrMUxT7Y4JkKIdwsh9gkh9k1MTPhoemM0TYt01KliV0gmkiQTPgrx1dP21WAj4c8/X52Dvn69+9R9TdPQ/Myv71Lafp2klqxW37cv/X+5PrhcEiFYvXaQlG6Gdp6+GwdH10O9zJ7vaylExA7hoGV/CJBo/6ZCRv0pTbeZKEzw9IWn+bVbfs3X/pmLDwGQH72RgR45tEt9fv7sy15GNqIO82l2Le1auYuEmuDRU4/ymqte4/nY+ZG9LH/+U6SmD1IY6Vzhwk72h/wNN7D8058m9dRTHS2+2Ks+HSSxQzjoB4d+REr5d8DfAezcuVNaloVlWUtuX3/Ptu2m3/P5/IKf51Ofm9nqGPXvQbTHyzEqZoVSpVQtEifLlxyrEfOdhFWgbJWxEhnM2sAtCKfjx6dZuTKJEBaW5e4Ys7OzDY/VykkUCshyGSuztEOQ50lKiW3bzORnyBrZBfvW/3Y0+/xlq7IkNDj5/CSlJoPlXl17i7dtdAyh68iZGZxkkpLL89RNJ1VVKZer/SGI30svnOY7dOJcd8Npflu6cf12wmlxn/bSnmZOjYgj+gGSy+V68rn1+drtzM83E8spZ67smUO7ZB5+GHPFCipXRtdhPs0cElqCa1Zd08Y8/esBOj5Pv5PnoXB91aHT6fv9fi1Fhdih7zkFrJ/387raaw23EUJowBBwscUx17U4ZseI8jzSegX4gdSAL4dOVNsHeP75Ahs2uI/mg//z0Olq+4tpVn3fjYOaSLFyZYrxU+GcuujGQRpGtfp+SKP6Ue7TdWKHcNBNh3igHyC9Ss18+OTDpPQUO8d2et9ZSjITj5AffRkIEc30UinJPPww+ZdF2GERrRxuWHsDR84fYbY86/nYdmKE0sDmjs/T7+R5sEdGKG3eTGZfZx9WXA7XUhSIHfqeR4AtQogrhRAJ4O3APYu2uQd4Z+3fbwW+I5uUGJdSngFmhBA316rt/zxwd/BNb0yrzIAwU7bL1Ur7jvfoUSeq7dd58cWCp7R98Hkeupy2X2ep6vuuHIRgbM0g506Hc6Dv1kEmEqFdZi/KfbpO7BAOuukQD/QDpFAo9ORzHzn5CNevuR5d9f50KJE/gV65QH60mg3QK4d2ME6cQL94kfyN0XVYTCuHvWv34kinvXn6U48hnM7Nce/0ecjv3Uv68cehg/P0L4drKQrEDv1Nbc79+4FvAIeBz0spDwohPiSEeFNts48By4QQx4DfAuaW4BNCPAf8D+AXhBAn51Xsfx/wD8Ax4FmaFOILGlVVUVW1Wx8XGLZjY9omSS3py6ET1fbhpaX1vFTcB3/noVvV9heTUBMIIS6J6rt1WLVumDOnZpFW+CrXu3VwDAPhOB2vv+OHqPbp+cQO4aCbDvFAP0CaVT3sFOfz5zk+cZwb1/lL2x+YqM5trw/0e+HQLvX5+fWBfhQdFtPK4bo112GoBj984Ye+jj+77BZUu0hqunNr0Xf6PORvvhm1UCB94EDHPuNyuJaiQOzQ/0gpvyql3CqlvEpK+eHaa38opbyn9u+SlPJtUsrNUsob6xX6a+9tlFKOSikHpJTrpJSHaq/vk1Luqh3z/c0yAILGcZxI1mWoDzITWsKXQ6fS9utL611xhbeIvi+HLqftz32uUEioiUuW2XPrsHbDMMWS5MJ4+KL6bh3CnL4f1T49n9ghHHTTIb7zCJBk0kd12jZ55OQjANy0/iZf+2cmHqaSXEUlXZ0e2QuHdsk8/DCV1auprKtOx4yiw2JaORiawfVrr+dHL/7I1/Hzoy9DojBwwd+DAjd0+jzMvuxlSEVh4IfRdegGsUM46AeHGPcIIeaWP4oS9bR9TdG8O3Qwbd/vQN+zQ4/S9usk1MQl6ftuHa68coCypXHyufAt5en6PIQ4fT+qfXo+sUM46KZDPNAPkCCX5nHLwycfJpvIsn3Fdu87S4fMxL5qNL92wfXCoS0ch8y+fXPz8yGCDg1w43Dz+ps5dvEY5/PnPR/f0QcpDu1iYMLfgwI3dPo8OENDFHfuJPOj6Dp0g9ghHPSDQ0x/Mz9t3w+dStsHeO65PEJ4H+h7pVdp+3UMzWiYvu+GjRszFE2dky/OdnRaXqcJc/p+TEzUiAf6ATI6Otr1z3zkxUfYu3YvquJ9rocxewzNnKwW4qvRC4d2MJ55Bm1yci5tH6Ln0Ag3DrdccQsAP3rB30B3dtnNpKafQjE7Uw28G+dh9uabSR84gNKhiuaXy7UUdmKHmKghpaSLMwUCYX7aPnh36FTaPsCJE7OsXZvCMLzd63h26FHa/tznN0jfd+uwfLmBaiQ4ebKIcMIVEfdyHmQiUU3fD1lUP4p9ejGxQzjopkM80A+QbleBHM+N88L0C7xs3ctab9yAxfPzofsO7TLwSHXqwvyBftQcGuHGYduKbYykRtqYp38zQtpkatdB0HTjPMzecgvCtsnUroOguVyupbATO8REDUVRIleXoWSV5tL2waPDXNp+Z6aoHD+e58orBzzv58mhnrbf42k2i9P33ToIIdiwIcuzz1cQdrjmuHs6D4pSTd8P2Tz9KPbpxcQO4aCbDh39FCHEG4QQR4UQx4QQH2jwviGE+Fzt/YeEEBvnvfe7tdePCiF+bN7rzwkhDgghnhBC7Jv3+qgQ4l4hxDO17yOddGtEPp/v6uc9fLI6QGtrfn5qHWZqzdxr3XZol8zDD1Nevx5z9eq516Lm0Ag3DopQuGn9TfzoxR/5ejJYHL4WR00xcLEzqe/dOA/FPXtwUikGOpS+f7lcS2EndoiJGrZtY9t2r5vhGsuxsBxrQdq+FwelnravBp/y7jiS557Lc+WV3irug0eHHqft1zG06ufXMyy8OGzcmOGZEyZCOqFK3/faH5xEInTp+1Hr042IHcJBNx06NtAXQqjAR4E3AlcDPz1vyZs67wImpZSbgT8HPlLb92qq6+juBN4A/HXteHVeLaW8Vkp5w7zXPgB8W0q5Bfg285be6RZDQ0Nd/byHX3yY4eQwW5Zv8b6ztMlM7GN2dGG1/m47tIVtV+fn3xhhhyVw63Dz+ps5nz/PsxPPev4MqejkR/Z2bKDfjfMgEwnye/d2rCDf5XQthZnYISZqaJqG1qP0bz/UB5X1QSZ4cxBOCanoIIJfMurMmSLlsuNroO/JoVRC6jr0eOmuxen7Xhw2bszw3EmLctkJVfq+1/4wV30/ROn7UevTjYgdwkE3HToZ0b8ROCalPC6lrACfBe5atM1dwCdr//4i8FpRLUN4F/BZKWVZSnmC6hq4rdaPm3+sTwJvbl/BG92M2Egp+cELP+DG9TeiCO+nMTX9FKqVI7/s5gWvRynqlDpwADWXY/bm6DoshVuH9ufp34JReA69eMbX/s3o1nmYveUWjOeeQx8fD/zYl9O1FGZih5ioYZomZoiika0oWSUSamJBvR/XDo6FcKyOFOEDOHGi2nf8DPRdO5gmwrJ6Hs2vY2jGXPq+l2vpyiszOI7C86fsUKXve+4PioLU9VCl70etTzcidggH3XTo5EB/LfDivJ9P1l5ruI2U0gKmgWUt9pXAN4UQjwoh3j1vm5VSyvpoZRxYGYSEF7r5hOnpC09zPn+eWzfc6mv/7IUHkCjMLnv5gtej9JQs++CDSEUhf8stC16PksNSuHVYM7iGDcMb2pinX/3dZToQ1e/Weag/6Ml0IKp/OV1LYSZ2iIkauq6j63qvm+EK0zaxHXtBNB/cOyhOdTAm1c7MbX9poO99jr5rh1rkuNfz8+vMT9/3ci1t2FB9GPLci9X0fUKSvu+nP9Sr7xOSQV2U+vRSxA7hoJsOUbzzuFVKeUoIMQbcK4Q4IqX83vwNpJRSCNFw0nLt4cC7AdasWcPY2BjT09NkMhk0TWNiYoLR0VFKpRKO45BOp5mamiKbzaIoClNTU4yMjFAsFgFIpVJMTk4yPDxMOp2mWCwyPDxMoVBAURSSyeTcMS3LIp/PMzQ0RD6fR9M0DMOYe980TYrFIoODg+RyOQzDIJFIzL1fqVQol8tks1k++UQ1eeHNe9+MZmmMjo5SLpexLItMJtPSKfvQDzCXX8fo2s0LnLLZLIZhzDk5jkMul+uK08zMDKlUCl3X595v5jTy0ENUrr2W1Nq1C85TNpulUCgseZ7C7FQ/T/Xz4Obau33r7XzhiS+ACmPLxrw5qSp2aozR3KOUkj8dqFP9s/z2J9fn6RWvwFq+nJFHHyXxnvcEep4GBgYwDCOwvxG9uPaGh4fnzoOXvxFhckqn0xiG4bs/hcFpZGRk7jy0+zciJvxEKeJUtsoIIS4Z6Lt1EHYJqSTAR3ahG06cyDM0pDMy4v3G2LVDqVSt9h6SIl/z0/e9XEsbNlSXH3z2+VohP6eMo/R+UOSnP0jDgFwOpVzGCcHALkp9eilih3DQTQfRqfL+QohbgA9KKX+s9vPvAkgp/8u8bb5R2+aHQgiNaiR+BbX59fVt52+36DM+CMxKKf9MCHEUuF1KeUYIsRq4X0q5rVkbd+7cKT/3uc8FI0w1YtOtysq/+MVfJFfO8cWf/aLnfdXKBNvvu51zV72X85vfu+C9bjq0gzoxwfbbb+fc+97H+V/5lQXvRcWhGV4cvn3s2/zmV36TT7z1E+xdu9fzZ63b/7sMXPwBR26/L9AbtW6eh3Uf+AADP/whR+67L9AbtcvtWgorscNCdu/e/eiiGjUxARDkPUGyFhkuhSj1eCku5C+gqzpDyYV1JNw4CMdErUxi61mkmupI+37xFx/CsiSf+tTNrTdehCsH00SdnMTOZpGpzjj4oWgWyZVzrBpZVR30u7yW7rjjfvbuHeG/fWgjSBPbWN7ZhrrAb39Qp6fBNLGXR9chTMQO4aATDkvdF3Ty0eUjwBYhxJVCiATV4nr3LNrmHuCdtX+/FfiOrD55uAd4e60q/5XAFuBhIURGCJEFEEJkgNcDTzU41juBuzvktSTdirTMlmd54swTvGLDK3ztP3Dhhwgks8svTfuPSrRo4Ic/REjJ7K3RdWiGF4eXrX8ZilDaWmZPq0yQzD3ta/+l6OZ5mL3lFrSJCZLPPBPocS+3aymsxA4xUSMq80grVgVHOpdE88Gdg7BLIETHltWDakTfz/x8cOlQqjmEJG2/TlJLIoRgtjjr6Vq66qoBjh/P46hGrfp+pYOtdIff/lBP3xeV6DqEidghHPTFHP3anPv3A98ADgOfl1IeFEJ8SAjxptpmHwOWCSGOAb/FS5H8g8DngUPA14FflVLaVOfdPyCEeBJ4GPiKlPLrtWP9KXCHEOIZ4HW1n7tKt07aQycfwnIsbt3ob37+wMUHsfQRikM7L3kvKp0n+8ADWCMjFK9evJBDdBya4cVh0Bhk18pd/OhFvwX5anPcA56n383zMDdPP+Bl9i63aymsxA4xUSMq80hLdqmatt9gWTw3DtXU8AQI0ZH2TU+bXLxY8TU/H1w4SFlNDU90zsEvQggSagIb21ONj+pAfxZLVp3CUJTPb3+Yq74fguhtVPp0M2KHcNA3c/SllF8FvrrotT+c9+8S8LYl9v0w8OFFrx0H9iyx/UXgtW02uS3qcz07zQPPPUAmkeHa1dd631k6ZC88yOzyWxqmaXfLoS0ch4Ef/IDZl7+8YZp2JBxa4NXhpvU38fF9H2emPMOgMehpXyu5klJmE9mLP+Dilb/gad9mdPM8WCtXUtq0iYEf/ICL73xn6x1ccjleS2EkdoiJGlF4sCOlpGJVSKgJRINBbstIuFMB6XQ0mv/cc/4r7oMLB9MExwldNL9OUksya86SL+XRhLtb9quuGqBcdjh9psSGVUb1YYyUPX2Q4bs/CIFjGNWHMVF1CBGxQzjopkM4qo70CYOD3gZYfpBS8uDzD3Lz+pvRVe9Pg5Izh9EqE+QapO1DdxzaJXn4MNrEBLlXNJ66EAWHVnh1uHXDrdjS5gfP/8DX580ufwXpiX0oVsHX/o3o9nmYfcUryOzbhyhE16ETxA7hoB8cYtwThahTxa6m7ae0xvPSWzlU0/aVaiG+DnH8+Czgf6Df0qFYrC7lluicQzsk1AQJPYEtbNf7XHVVNfvh2WdnqyshSIlwersefTv9QSZrDuXoOoSF2CEcdNMhHugHSC6X6/hnnJg8wZncGd/z87MXHgS4ZFm9Ot1waJfsAw8ghWB2iYF+FBxa4dXhmtXXMJQc4nsnvtd640aft+I2FGmSuRjcEnXdPg+5225DqVQYCDB9/3K8lsJI7BATNSzLCn0ByZJVQhHKkkGDpg5SdjxtH+DYsVkMQ2HdurSv/Vs6VCqhTNuvI4RAExr5Uh5HOq722bSp+lDk2LFZpJJACgWlx+n77fQHmUggFWVuCcReEYU+3YrYIRx00yEe6AeIYVw6xy1ovv/c94FqBNcPAxceoDC4E9tY1vD9bji0y8CDD1K8+mrsJYpbRcGhFV4dNEXjlRtfyfef+z624/7Jf538yPXY2gCD57/red+l6PZ5yF9/PfbAANnvRtehE8QO4aAfHGLco6oqqqr2uhlL4kiHil3B0IyGafvQ3EE4JZCyY5X26xw7lmPTpgFU1d9AvKlDqeYQokr7jcgYGRRFoWy5G+hmszorVyZ59tlqNoRUk3PTLHpFu/1BJpPViL4TXYcwEDuEg246xAP9AEl0IfXrwecf5KrRq1g9uNrzvoo5TXrqSWaXL50N0A2HdlCmp0k/+eSS0XwIv4Mb/DjcduVtTJWmePLMk94/UNGZXf4KBs5/L7Cbga6fB11n9hWvqA70A7oZuFyvpbARO8REDcdxcHo4KGlFySohpSSpLT03vZmDYpeRQkF2eI32Y8dm2bLFXyE+aOFQLiNVFRnyNGBVqCgolCz3UfnNmwfmBvpOrYZCL4vytdsfnFoNhV4W5Qt7n3ZD7BAOuukQD/QDZGJioqPHL5gF9p3a539ZvYsPIXAaLqtXp9MO7TLwox8hHIfcK1+55DZhd3CDH4dXbHgFmqLx3RP+ItozK25Dr1wkNX3Q1/6L6cV5mLntNvSLF0kdOhTI8S7XaylsxA4xUUMIsWSkPAyUzBKaojWt9bOkg7QRTqXj0fzp6QrnzpXZvDnr+xhLOtg2olIJbRG++QghSCaSmLbpOmNv06YMJ07M4jgSFA2paChO7wbJbfcHTUNqGkoPB/ph79NuiB3CQTcd4oF+gHR6neR9J/dh2qbvZfWyFx7A1rIUhnYvuU3Y13rOPvAAdjZLcdeuJbcJu4Mb/DhkjSx71+z1PdCfXf5KJArZ8/f72n8xvTgPs698JVJRyN5/fyDHu1yvpbARO8TEBIflWFiORVL3N8itz/d21M4Oko8dq0akN2/2H9FfivqA0YnAQB+YK5joNn1/8+YspZLDqVPV1T6kkkQ4FjjRndssk0mEZUHE52fHxHSTeKAfIJVKpaPH//5z3yelpbh+zfXed5YOAxceZHbZLaAsvURLpx3awnEYePBBZm+5BZqsKRtqB5f4dXjVla/i2YlneXH6Rc/72olhCsPXkj3vr6DfYnpxHuzhYQrXXkv2e9F1CJrYIRz0g0OMe6SUSCl73YyGlMzqILdZ2j4s7SDsUrXSvujsHNP6QH/LFv8R/SUdisVqpf0IzPWVUs4VTSxa7pbprBfkm0vfrz2U6VVUP4j+4NTqnPQqqh/mPu2W2CEcdNMhHugHSLmDFUGllNx//H5uvuJmDM17UafUzCH08jlyK25rul0nHdoldegQ+vnz5G6LroNb/Drcvul2AP/V98duI5U7gl4c97X/fHp1HnK33Ubq8GG08eg6BEnsEA76wSHGPYqioCjhvMUqWSUMzUARzdvXyEE4JkLaOGrni0s+88ws2azGypX+P6uhg2kiHCcy0fy6Q1JLYjs2pt16De76Env1hyXVZRCNns3TD6Q/qCrSMHo2Tz/MfdotsUM46KZDtH9TISOb9f/UuRWHzx9mfHacV296ta/9s+e+gxQquRWvar5dBx3aJfud7yBVldyrouvgFr8OVwxfwZUjV3L/8ft97Z9bcXv18wOovt+r85C7/fbq5wcQ1b+cr6UwETvERA3btrFt7yugdJqKVcGRTstoPjR2EHYRhEAqnR8kHzuWY/PmgbbmsjZ0KNYcIrISRt0hqSURQriK6mezOqtWJXnmmZeW9XTUJEI6CLv7Dx2D6g9OMolwnGoF/i4T1j7thdghHHTTIR7oB8jMzEzHjn3fs/ehCIXbrmwezV6KwXP3URi+Djsx3HS7Tjq0y+B991G47jrs4eGm24XZwS3tONx25W3sO7WP2fKs533LmSuppNYFMtDv1XkoX3kllXXrAllm73K/lsJC7BATNTRNQ2syxaxXFK0iilBIqK1XgbjEQUoUp4yjGB1fd15KybFjs20V4oMlHMrlahp4RAp61R2EEBiaQdkqu0r73bYty9NPvzTQr063UOZqLHSToPqDTCRAUXqSvh/WPu2F2CEcdNMhHugHSKqDa7Hed/w+rl19LaNp7wWd9MKLJGePMTPWOhugkw7toL/4Isljx5h5dXQdvNCOw22bbsNyLH7wwg+87ywEMytuJzPxEMIq+G4D9PA8CMHM7bcz8NBD1chNG1zu11JYiB1iooZpmphm6xTrbuJIh4pdwdAMV1HyxQ7CKVfXne9wET6ACxfKTE+bbRfiu8ShXHOIUH+c75DSUkgpXS21t3VrlhMn8pTLtcihENWovlMObBldtwTWH4SoRvXL5cCW0XVLGPu0V2KHcNBNh3igHyB6h9ZiPTVziqMXjvpO2x88dx+Aq4F+pxzaZfC+moOLgX5YHbzQjsO1q69l0Bj0XX0/N3YbilNhYOJHvtsAvT0PudtuQymXGfhRdB2CInYIB/3gEOMeXddDd85LVgkppau0fbjUQbFLSKFUI8Md5plngqm4f4lDqYRUFGTIzk0z5jvoqo6qqK4G+tu3D2Lbcq4gH4BTm3LR7ah+kP2hXluh21H9MPZpr8QO4aCbDvFAP0A6tU5yfb51OwP90sBmzPT6ltuGda3nwfvuo7R5M+b66Dp4oR0HTdG4deOtfP+577tec3c+hZG92NoA2XPtpb738jwU9u7FHhhoO33/cr+WwkLsEBM1whh1KpklNEVDV93dYC5wcCyEU0Gq3YmEHzlSneqybVt7qfsLHCwLUalEKpoPl15LKS2FaZtYLZbKq//ujh59KX0fRUMqerXWQhcJtD9oGlLX287Y80oY+7RXYodwEEf0I0qn1kn+1rFvcdXoVWwY2eB5X7V8kfTkY8yMvcbV9mFc61m9eJH0Y48x85roOnilXYdXb3o1k8VJHjv9mOd9paKTW34rg+fvb2vN3V6eB6nr5G69tZoJ0kbBk/haCgexQ0zUCFvUqT4wTOru0+7nO9SXZXO6kLYP1YH+6tVJhobayx5Y4FCLAEel2n6dxddSUq8W5asvk7gU69enSaXUhQN96kX5bITTvcFS0P3BSSYRto3o4oAvbH3aD7FDOIgj+hGlE8snXchf4NFTj3LH5jt87T947jsIHKZXvd7V9mFcAmrwO99BOA7Tr4+ug1fadXjVxldhqAb3HrvX1/4zK+9Aq0yQmfT+oKBOr8/DzB13oE1MkHksug5BEDuEg35wiHFP2KJORauIEIKU5j6aPecgZTVtXzFAdGfd+cOHc2zfPtj2cRY4lErVSvtqdxyCYvG1VC+mWJ+KsRSKIti6NcvRowsLgUolCUJ0NaofdH+QyZpDF6P6YevTfogdwkEc0Y8oluU/+rkU33n2O0gkd2zxN9AfOnsv5fQGygNbXW3fCYd2Gbr3XsobNlDeGl0Hr7TrkE6kuXXjrXzr2LdwfBTdyS2/FUdJMnj2m77b0OvzkLv1VpxkksFvRtchCGKHcNAPDjHuCVPUyZEOZavsughfnbpDvXib4+EhQTsUChbPP59nx472B/pzDrXibU7E0vah8bWU0lLV89piqbxt27IcPZpb+EBACBzFQKkVV+wGgfcHIXAMA6UcYYceEDuEgziiH1EymUzgx/zmsW+ycXgjfj+X+AAAWGhJREFUW5Zt8byvWpkiM/EwMyvvcL2MTCcc2kGdmiLz8MPM3BFdBz8E4XDH5js4nz/Pk2ee9Lyv1NLkVrySwbPfBukv9b3X50Gm0+Re+UoGv/Ut39V5e+0QBLFDOOgHhxj3hCnqVI/8eonmw0sO3SzCB/D00zmkJJCB/pxDsVgtwpfojkOQNLqWEloCRSgt0/e3bcuSy1mcObNwO6mmQMquRfU70R9kqubQpah+mPq0X2KHcBBH9CPK9PR0oMebKEyw7+Q+7thyh6en8HWy5+5DSJvpVe6zAYJ2aJfsffchbJvpO6Lr4IcgHG678jYSaoJvPuMvoj2z8g70ygXSU0/42j8M52HmjjvQL1wg/cQTvvYPg0O7xA7hoB8cYtwTpqhT0Sx6KsJXR9d1dFXUivClO9S6Szl8uJpqHkTqvq7r6EIgTBOZ7p5DkCx1LaX0FBW70rQo39atDQryUa3FIxVtrvZCp+lEf5C6jtS0rlXfD1Of9kvsEA7iiH5ECTpic9/x+7Cl7Xt+/tDZb1JJraWU3eF6n7BFnYa+8Q0qa9dS2hFdBz8E4TBgDPDyDS/n3mP3+kvfX/EqHCXB0Li/BwVhOA+5V70KJ5Hwnb4fBod2iR3CQT84xLgnLFEn0zaxHZuU7j1l3TRN7FJ1gNitInwAR47kGBnRWbnSaPtYpmli52oOESvCV2epaymlpxBCUDSXjmhv3ZpFiJdWMZiPo6YQjtWVonyd6g9OKoWwrK4U5QtLn26H2CEcxBH9iKJpWqDH+9rTX2P90Hq2r9jueV+1MsnAxR8xvfL1rlPeIXiHdlAnJxl46KFqEb6IOvglKIfXb3k9Z2fP+krfd7QMs8tvZXD8m77S98NwHpxMhtlbb2XoG9/wVX0/DA7tEjuEg35wiHFPWKJOBbOAEIKk5n2Qq2saCcXCUQ0Q3btdPHx4hu3bB31lMi5G1zQSloVjGKBE85Z3qWupXpSvbJWXLMqXTmtceWWGQ4cuzSiqFuVTEHYh8DYvplP9QSaToCiIQnQduknsEA7iiH5ECXKd5PP58zz84sPcue1OX//ZDZ69FyEtplf/O0/7hWmt58F770VYFtP/LroOfgnK4TWbXkNSS/KVo1/xtf/U6jvRKxfITDzied+wnIepO+9Ev3CBzL59nvcNi0M7xA7hoB8cYtxj2zZ2G0t7BoEjHSp2haSW9HUf4ZgFbNuszufuEqbpcOxYMBX3AZxCAds0q/O5I0qzaymtp3GkQ9FaOqq/c+cQTz01c+nDACFw1CSKXfZdi8ctHesPQuAkk9WifB3ub2Ho0+0SO4SDbjrEA/0ACXKd5G88/Q0kkju33elr/+EzX6WUuYpS1l2l+jphWut5+CtfoXTVVZRcVtuvEyYHvwTlkElkuH3T7dz7zL2Ytvc0odyK27DVNENnvuZ537Cch9xtt2Gn0wx99aue9w2LQzvEDuGgHxxi3KMoCkqPI8gls1qEz080H0B1SihqomtF+ACOH5/FNGUghfgA1FIJJZGIZBG+Os2uJV3V0RStafr+zp1DXLhQ5uzZSyv0O0r12lDszs5z72R/qE/J6PRc/TD06XaJHcJBNx2i/ZsKGaUA/8h89ehX2bFiB5tGN3neVy+Ok5l8lOnVb/SU8g7BOrSDfuYMmcceY/qN0XVohyAd3rj1jUwUJ3joxYc87yvVJDMrX8fQ2XsRTsXTvmE5DzKZZOa1r2Xo3nsRlWg6tEPsEA76wSHGPVLKpmucd4OCWSChJjwX4QOq87adCrbS3XntTz1VTTG/+ur2B/rCNKFSwY7o3Pw6ra6llJ7CduwlH+bv2jUEwMGDDQqCKhpSMVDsYkeXqetof9A0pGGgFCPs0CVih3DQTYd4oB8gjs8lvBbzwtQLHDh7wHc0f2i8Gn2dXu19/6Ac2mXo618HYPrO6Dq0Q5AOt264layR5atHvUe0oXodqVaOgfPf97RfmM7D9J13ouZyDDzwgKf9wuTgl9ghHPSDQ0x0KFklHOn4KsIH1OZtK11N2wc4cGCaoSGdK65ov0K+KBRAUSKdtu+GpJZEEQoFs/E89e3bs2iaaDzQBxwtBdJBOJdG/KOCk0qB4yDK0XWIiekE8UA/QNIBLd1Sn0/9hq1v8LX/0JmvUBjaTSW93vO+QTm0y9BXvkJh924q66Pr0A5BOiS0BK/f/Hq+/ey3l7wRaMbs6E1YiVGGz3ib5x+m8zB7001Yo6MM/9u/edovTA5+iR3CQT84xLhHCBFIMTm/FM0iqqJiaD4q10u7Om9bSyO6nCK7f/8Uu3YNtf+7s+3qvO109x2CptW1VC+2WLbK2M6l834NQ2XLluxctsRipJJACrUa1e8Qne4PMpFAqmo1qt8het2ngyB2CAfddIj2X7+QMTU11fYxHOlw96G7uWn9TazKrvK8f3LmCKncUabWvMnX5wfh0C7JI0dIHT3K1Jui69AuQTv8xI6foGAW+Paxb3vfWdGYWn0n2XP3o1bctytU50HXmbrzTrL334/qYT3zUDn4JHYIB/3gEOMex3F6lsVh2iambfqO5tcHfJZidNUhn7c4dmyWa64ZavtY9QGfZXTXoRO4uZbq57pkNZ4itHPnIAcPNijIV0Oqqdp0jc4s+dWN/iBTqep0jQ4tW9bLPh0UsUM46KZDPNAPkGw22/YxHjv9GKdmTnHX1Xf52n/41N04Qmd61Rt97R+EQ7sM3303jq5X5+f7IAwO7RK0w/Vrrmfd0DruPnS3r/2n1rwZRZpz00LcELbzMHXXXSimydDXouvgh9ghHPSDQ4x7VFVFVdWefHbBLKAIhZTmY6AvJYpdwlENVC3RVYeDB6eREnbvHm7vQFKilEo4hoGa6K5DJ3BzLdWzN4pmseFgfufOIWZmTF58sXFWn6MmQQiUDi21143+4CRrDh1aaq+XfTooYodw0E2HeKAfIEFUULz70N1kEhlee9VrPe8rHJPhM18hN/Zq7IS/J+K9rmQpTJPhr3yF3KtfjT0UTYcgCNpBCMFdO+7ioZMPcXrmtOf9S4PbKGa3M3zK/YOCsJ2H0vbtFLdtY/ju6Dr4IXYIB/3gEOMe0zQxOxRZbIbt2JStsu8l9YRdBOkg1XTXHfbvr2Zb7d7dXkRfFIvgOMh09x06gVuHZkvt1QvyLZW+j1Bw1FTHltrrynlQFJxUqmNL7V1O11KYiR28Ed95BEi7qZmFSoFvPPMNfmzLj5HWvc/nHDj/PTRzksm1/rIBoPfppQPf+x7a5CSTd0XXIQg64fCmHdWpEPccvsfX/lNr7yI9cxAj94y77UN4Hqbuuov0U09hHDvmbvsQOngldggH/eDQSYQQbxBCHBVCHBNCfKDB+4YQ4nO19x8SQmyc997v1l4/KoT4sXmvPyeEOCCEeEIIsa9LKgDouo6ue6923y71ZdbaSduXio5U9K47HDgwxRVXpBkebm8pPKVYROo6Uu++Qydw66CrOrqqU6gULonqX3XVAKmUypNPTi25v6OmqhFxK/iIeLfOg5NKdSyqfzldS2EmdvBGPNAPkJGRkbb2v/fYvRTNInft8DfIHTn1r5iJ5cwue7nvNrTr0C4j//qvmMuXM/vy6DoEQScc1gyu4aZ1N3H34btxpPe5QVOr70QKjZFT/+pq+zCeh6k770RqGiP/+q+utg+jg1dih3DQDw6dQgihAh8F3ghcDfy0EOLqRZu9C5iUUm4G/hz4SG3fq4G3AzuBNwB/XTtenVdLKa+VUt7QYY0F9CLqJKWkZJUwNANV8Z4WKuwyQtrVAR/ddZBScuDAdPvR/HIZYdvVAR+XX/SvHtUv2wurz+u6wu7dQzz++NTSOwsVRzFQnBL4uEdoRtfOg6riGAZKqQQBz4G+3K6lsBI7eEPryqdcJhTbrPb5xae+yMbhjVy35jrP+2qlcbIXvs+Fje8Exf9pbdehHbTxcbLf/z4X3vlO0KLpEBSdcnjzzjfzu9/4XR568SFuueIWT/vaiVFmVtzO8Ol7OLv1N5BK86hLGM+DvWwZM7fdxvA993D2138dmYieg1dih3DQDw4d5EbgmJTyOIAQ4rPAXcChedvcBXyw9u8vAn8lqrnpdwGflVKWgRNCiGO14/3QayMURUHTNFRVxXGcudR3KSWKomDbNpqmYZomuq43/Z7JZHAcB9M056KrQggcx0FVVVfH0HUdy7Jct2cqP4We0BnQB0gmk56PYQgbS+pomWFM02RgYADTNOc8dF3Htm0URQnc6fTpAufPl7n22tEFbff6e9HyeZxEAm14aYfF3zvl5PW6WeoYqVQK27axbbvlMVRTxRIWpmMyZAwtcLrhhmX87d8+Q6kkGR5ONT5GYhSZP4uuOZgiEZiTrusIISiXy776k6fzNDqKPHsW3XGo1CKnQZwnRVHQdZ18Ph/I34heXHt1h9nZ2cCv3245aZqGpmmXOHSiT3bKKZlMAlAqlQL5G9FsamAc0Q8JT194mifOPMFbd7/V17y6kZNfRkibyXVv7UDrusPIl7+MsG0m3hpdh7Bzx+Y7GE4O84UDX/C1/+T6t6GZUwyO3xtwy7rH5E/9FNrkJIPf+lavmxITE1NlLfDivJ9P1l5ruI2U0gKmgWUt9pXAN4UQjwoh3t3og4UQ7xZC7BNC7JuYmGhbpI5lWV2NOkkpKZgFElqChOo99V3YFYRj4qgvTRu0LAvLsoJs5pI89lj1d79nj//MF1GpIEwTJ90bh05hmqYnh3QijemYVKzKgtevv34Ux6Fp+j6KhqMkqisvLFGh3w9eHdpC03ASierKCwE69MO1FDuEg272hziiHyCpVIpcLudr3y8c+AIJNTE3j9oTjsXoqS+RW/ZyKmnv687Ppx2HtrAsRr/0JXIvfznm+og6BEinHAzN4K6r7+Kfn/hnLuQvsDyz3NP+s8tuppJax+jJLzC95t813Tas52H25puprFvH6Be+wPSddzbdNqwOXogdwkE/OESQW6WUp4QQY8C9QogjUsrvzd9ASvl3wN8B7Ny5U7a6iay/Z9eKfS31vR5xKZUuXe6s/gCg1THq3920J1fKYVkWmq7NRX+9HEOtzFCSNnZiEKvW5noUqzTv56Vo1+nhh8+TTqts2ZK+5PPcHkOdmqq66zpmC4fF3zvhNB+3102jY6iquuBaanUMJDiWw8TsBCOplx6c7NyZRVHg0UcvcNNNI0seQ4gksjSJralY9tL1orw4JZNJpJRUKhVfx/B6nkQyiZycxFFVSrUHP+2ep2QyiW3bLQeanXJq9t1te+oOfv5GhMWpmUNUnFRVRUq54GFwO38jmhFH9ANkcnLS134Fs8C/Hfk37th8x4I/ym7JXngAvXSWyfVv8/X58/Hr0C7ZBx5AP3uWiZ/6qbaP1SuHIOmkw1t3vRXLsfjywS9731koTKx7K5nJRzFmjzfdNLTnQVGYeOtbyezbR+J4RB08EDuEg35w6CCngPlPeNfVXmu4jRBCA4aAi832lVLWv58Dvkw1pb8rdHMOppSSQqUwV4zNK8IxX4rmz8so7KbDvn2TXHfdCJrm77ZUmOZL0fweOXQKrw5CCNJ6GtM2Me2X9hsY0Ni6Nctjj0013b9ejFGxC4FFxLt9HurFGJVCdB06QewQDrrpEA/0A2R4eNjXfl8/+nVmK7O8bbe/gfroi5/HTCxnZsVtvvafj1+Hdhn93OcwV6wg96pXtX2sXjkESScdNo5s5KZ1N/HFp76I7XhfgmZy7ZtxhMbIi59vul2Yz8Pkm9+Mo2mMfqH5FIYwO7gldggH/eDQQR4BtgghrhRCJKgW11u8PMg9wDtr/34r8B1ZnTB5D/D2WlX+K4EtwMNCiIwQIgsghMgArwee6oIL0N2qykWriCMdMnrG1/6KlQehINWFlfq75TAxUeHZZ2e54Qb/aftKPg+Kgkz1xqGT+HFI6SkUoVAwF1afv+66Efbvn8I0mxeqc9Q0QjoI59KMFD/04jw46TTCcRANsmr8cLleS2EjdvBGRwf6QS+XI4RYL4S4TwhxSAhxUAjxG/O2/6AQ4lRtGZ0nhBDNc3I7gOOjwqeUkk8/8Wm2Lt/K9Wuu97x/Iv8c2Qvfr0bzlfYvGj8O7ZI4cYLsAw8w8ba3QQAXfi8cgqbTDm/f83ZO505z//H7Pe9rG8uYWfV6Rk79K4o1u+R2YT4P9rJlzLz+9Yx8+csos9F0cEvsEA76waFT1Obcvx/4BnAY+LyU8qAQ4kNCiPp8to8By2rF9n4L+EBt34PA56kW7vs68KtSShtYCTwghHgSeBj4ipTy691y6lbEZn40P6H5mJvvmAinckk0H7rn8Pjj1WyXvXtHfe0vTBNRqVwSzYfLN/pXj+qXrfKCqP71149QLNo8/XTzaURSNZCKVn0IFEBEvBfnQRoGUtOqD4Ei6hA0sUM46IuIfoeWy7GA35ZSXg3cDPzqomP+eW0ZnWullF/tlNtS+Jl/+fDJh3nm4jP83LU/56sI37Ln/xlH6Eysbz/lHfw5tMuyz3wGR9erA/0A6Id5sJ12ePWmV7Mmu4ZPPfEpX/tfvOLnUO1806X2wn4eLv7cz6Hm8wzfffeS24TdwQ2xQzjoB4dOIqX8qpRyq5TyKinlh2uv/aGU8p7av0tSyrdJKTdLKW+sV+ivvffh2n7bpJRfq712XEq5p/a1s37MbtGtiE3JKgUSzXcWRfOhew779k1gGAq7dvlbWq8ezXdSvXPoJH4d6lH9fCU/99p111WzJvbta1140tEGqlF9u/0VQ3p1HpyBgWpUP4BVTy7naylMxA7e6GREf265HCllBagvlzOfu4BP1v79ReC1i5fLkVKeAI4BN0opz0gpHwOQUuaoPvlfXJm3Z/hJzfz0E59mJDXCndu8JyAo5gzDp+9mevUbsQxvRdWWotvppcrMDMN33830G9+IvTyaDp2g0w6qovLTe36aR089ypHzRzzvXxzeTWF4D6PPfwZk4/T/sJ+H4u7dFPbsYdk///OS6+2G3cENsUM46AeHGPd0qzJ0vpJHUzRf0XyaRPOhew6PPjrJnj3D6LqPW9Im0Xzojwrdfh2EEKQTaSp2Za4C/8qVSTZuTPPQQ60H+lJJIBUdNYC5+r06DzKRCGyu/uV8LYWJ2MEbnay632jJm5uW2kZKaQkh5i+X86NF+y4Y0NfS/K8DHpr38vuFED8P7KMa+b+k+lFtiZ13A6xZs4axsTGmp6fJZDJomsbExASjo6OUSiUcxyGdTjM1NUU2m0VRFKamphgZGZlbEzmVSjE5Ocnw8DCappFIJBgeHqZQKKAoCslkcu6YlmWRz+cZGhoin89zcuYk3z3xXd5947tZv2Y9pmlSLBYZHBwkl8thGAaJRGJu/0qlQrlcJpvNMjMzw4qzX0C1i0xt+nnGxsYol8tYlkUmk/HtJKVkbGxszslxHHK5nGsnTdMwDGPu/VZOic99DrVYRP76r5NMJkmlUui6Pve+H6f6k7KlzlOnnRafJ79OY2Njrq89P07vvv3d/M1Df8OXjnyJP9v6Z56dzN3vI/3997Cusp/c2O2XOCUSCTRN892funGeZn7pl1j1G7/B6A9/iPzxH7/kPNXPQ1B/I3px7c0/D0H8jeiFk23bjI2NtdWfwuBUPw/t/o2ICT+qqgLeKyR7oWAWcKRD1sj62l9tEs2H7jjkciZHjszwK79yla/91SbRfOiOQ6dpxyGlpShUCuTN/NzDoJtuWs4995zCNJ2WD1ccbQC1MoliF3G0pSvwt6KX58EZGECdnEQpFhcsveiVy/1aCguxgzeEDHCNyQUHFuKtwBuklP+x9vM7gJuklO+ft81TtW1O1n5+lurDgA8CP5JSfrr2+seAr0kpv1j7eQD4LvBhKeW/1F5bCVygum7uHwOrpZS/1KyNO3fulJ/73OcCcx4cHGRmZsb19h++78N88akv8o1f/AZjA2OePks4Jlu+fydmag0nbvxk6x1c4tWhHYRpsuXOOzHXruXEJz4R2HG76dApuuVQvwa//otfZ+XASm87OyZbv38nZmotJ278xCVvR+I8mCZbm1yDkXBoQewQDoJ02L1796NSyhsCOVjMHEHeE9TTMjs1D1NKycXCRVRF9bVaj3AqqJUpHG1gyQFcpx0Avv3ts/zmbz7Oxz/+Ml72smWe9hWVCurUFM7AwJIDuG44dJp2HYpmkVw5x1ByCEMz5n7nn/jEja7qIqiVKYS0sBLLGmZNuKHX50GdmkJYFtay6DoEQewQDjrhsNR9QSdT9zuyXI4QQge+BPxzfZAPIKU8K6W0pZQO8Pd0cRmdOslk0vW2F/IX+PLBL/OmHW/yPMgHGDrzVRKlcc5f+S7P+zbDi0O7DH3lKyTGxzn/rug6dIpuObzz+ncipeRTj/uYq6/oXNz4TjKTj5KafOKStyNxHnSdi+98J5lHHyX1xBOXvB0JhxbEDuGgHxxi3COE8FV3xy31aP5AYsDX/oo1i2wSzYfOOwD84AcXSKdVrr3W+8MKZXYW2SSaD91x6DTtOiS1JKqizs3Vf9nLRlEU+NGPLrra39YyIJ3qcns+6fV5sDMZcJxqCr9Peu0QBLFDOOimQycH+p1YLkdQrbx7WEr5P+YfSAixet6PP0kXl9GpMzHRes5Tnc88+RkqdoVf3PuL3j9IOiw/8XGKA1uZXf5K7/s3wYtDWzgOyz/+cYrbtjF7662BHrprDh2kWw7rhtbxhq1v4PMHPs90adrz/hNr34KlD7PixMcufS8i52HiLW/BGh5mxcei69CM2CEc9INDTDiwHZuCWcDQDHTVe0EnYRcRjoWjDfiObgaBlJIHH7zAjTcu8zw/XxSLCMvCGeitQxQQQpBJZLAci5JVYnBQZ9euIX74Q3cDfRQdqRjVgb6M6Oohuo40jOpAP14BJeYyomMD/Q4tl/MK4B3Aaxoso/dfhRAHhBD7gVcD/0+n3JbC7dzJ2fIsn33ys7xu8+vYOLLR8+dkz91HMn+cC5veFfh/cN2a/5m97z6SJ05w4V3Rdegk3XT4pRt+iaJZ5P88+X887yu1NBev+BkGz9+PkXtmwXtROQ8ynebiz/wMg/ffj/FMNB2aETuEg35wiHGPlJJOTY3Mm9XIbCbho9K+lChWHqnoSLV5lkknHQCef77AqVNFbr3VYyFeKVHyeaSuI1tkynTaoRsE4ZDUkmiKxmx5FiklN920jKeemiaXc5c6XI3qV68dP4ThPNiZzNy144cwOLRL7BAOuunQyYh+J5bLeUBKKaSU1yxeRk9K+Q4p5e7ae2+SUp7ppFsj3BZV+MyTnyFXyfGuG3ykrEvJ2PH/TSW1jumVr/e+fwu6UtxCSsb+9/+msm4d03fcEfjho1ygo043HbYu38ptV97Gp5/4NLPlpdeUX4qJK34GW02z4vjfLXg9Sudh4md+BjuVYsXfRddhKWKHcNAPDjHuURQFRQn+FstyLEpmaW7g5rlddhEhnWo0v9W2HXKo8+CD5wF4+cu9DfSVQgHhONVofqttO+zQDYJyyBpZHOlQMAvccstybFvyyCMuM40UDUdNodhFcLzPKw7FedA0nFQKpVgEH3OjQ+HQJrFDOOimQ7R/UyEj7+IpYa6c4xOPfYLbr7ydnSt3ev6M7LnvkJo5zLmr3gM+/pNvhRuHdsl+5zukDh/m3HveA1o0HTpNtx3ee9N7mS5N8+knPu15XzsxxMUNP8vQ+Dcwck/PvR6l82APDTHxsz/L0De+gfF0NB2WInYIB/3gEOMe27ax7cZLj7ZDvpJHEYrPaL6DYueRioFUWqf8d8qhzoMPXmTDhjTr13uohF6bZy0NA+liHepOO3SDoBx0VcfQDApmgd3XZMlkVL73vfOu93e0DAgF1fIeEAjLeXAyGVAU1NnoOrRD7BAOuukQD/QDZGhoqOU2n3r8U+TKOd538/u8f4B0GDv215TTG5ha/eM+WtgaNw5t4Tis/OhHKW/YwNSPR9ShC3TbYefKnbx606v5p8f+iZmy98rgFze8E0fLMHbsb+Zei9p5uPALv4CTTjP2N9F1aETsEA76wSHGPZqmoQX8ILtiVShbZdJ6GkV4v31TrFmQspqG7YJOONQpl20eeeSi92j+bM0h03uHbhGkQ714Y1kWuPXWFXz3u+dxHJcpxELB1jIIx0TYJU+fG5rzoCjYmQzCNBGliDq0QewQDrrpEA/0A6RVxGa6NM2nHv8Ur7vqdewY2+H5+INn7yU1+zTnrvqVjkTzofNRp8FvfpPkM89w7ld+pSPRfOiPyFkvHN538/vIVXL802P/5HnfalT/HQyd+xbJmcNA9M6DPTTExXe8g6FvfYvk4Wg6NCJ2CAf94BDjHtM0A106SUpJrpJDVVRS+tJV5pdCOCaKXaoupefy/iFoh/k89NAEpZLDrbeucL2PME2UUqm6lJ7L+4dOOnSLIB1URSWtpylbZV55+zAXLpQ5cMB9IV6pppCKNvfQyC1hOg8ylUJq2txDI7eEycEvsUM46KZDPNAPkFZPZ/7+kb8nX8nz3pvf6/3gjsnKZ/4Xpcwmple/0WcLW9PJJ0zCNFn5v/4XpauuYvqN0XToFr1w2L5iO3dsvoN/evyfuJC/4Hn/Cxt+DksbZOXT/xOI5nm48I53YA0OsvJ//k8gmg6LiR3CQT84xLhH1/W5tZKDoGAWsB2bbCLra1kmxcrVltNzn/IftMN8vvWtcQYGNG6+eZnrfZRcrrqcnstoPnTWoVsE7VDPCNlzQwpFhfvvP+dpf0fLImrTQNwStvPgZLMIx/FUmC9sDn6IHcJBNx3igX6AGIax5HsvTr/IZ578DHddfRdbl2/1fOzRF7+AUXies1t/C4TaTjOb0syhXUY+/3mMF15g/Ld+C9RoOnSLXjn8xst/A9M2+eiPPup5X0cf5PxV7yF78QcMXHgwkufBGRzk/HveQ/YHP2DgwWg6LCZ2CAf94BDjniAjNpZjzS2nl9ASnvcXVsHXcnqdijpZlsN9953jVa9aQSLh7jZUFAq+ltOLo3+XIoQga2RJDwiuvzHNffd5G+hLRcdRk7XCfO6KjIbtPEhdxzGMamE+l4VSw+bgh9ghHMQR/YjSbJ3kv/zBX6IKlfff8n7Px1XMHGPP/g2zozeSW/GqdprYkk6t9azMzDD2t3/L7E03MfvKV3bkM+r0w3rVvXLYMLKB/3DNf+BfDv4Lxy4e87z/xBVvp5Jax6qjf8bERfdFfsLExNvfTmXdOlb92Z8xcT6aDvOJ+0M46AeHGPcEGbHJlXMIxNz8ak9IG7VegK/FcnqL6VTU6dFHJ5maMnnd61a628G2UfP5agG+FsvpLSaO/jXG0AwMzeCmWwd49vg0L7zgbWpRddUGgWrlXG0fxvPgZLMgBGouug5eiR3CQRzRjyhLrZP8xOkn+PrTX+ed17+TlQMu/2Obx4rjf4dmTjG+7bcDX3N+MZ1a63nF3/896vQ0478dXYdu0kuH99z4HjJ6hv/2vf/meZ1PqSQY3/qbJGePsebi1zrUws4iEwnGf/M3SR47xpqvRdNhPnF/CAf94BDjnqAiNgWzgGmbZBIZVMV7JpxqVgcxtu79IUGnok7f+tZZkkmFV7zCXSG++kDMdrGc3mLi6N/SDCQGqsUQEyXuvfest52Fgq0NVAvzWYWWm4fyPMwvzFeIqINHYodwEEf0I0qjk2Y5Fn9y35+wcmAlv7T3lzwf05g9xvLnP83k2p+kNHh1EM1sSicuPOPYMZZ/+tNM/uRPUtrhvQihV6L+BwB66zCSGuG9N7+XH7zwA7797Lc97z+z8vXkR/Yy8PiHUSuTHWhh55l5/evJ793LwIc/jDo11evmtEXcH8JBPzjEuCeIiI3t2OQreRJqwl8BPruIcCrYasbXlL9ORJ0cR/Kd75zlFa9YQTrdum6FKBQQlUq1yr6PKX9x9G9pVEVly4YV7Lwmw//92gnP+0s1iVQSqHa+ZQp/WM+DTKWQiQRqPt8yhT+sDl6IHcJBHNGPKMVi8ZLXPrf/cxy9cJT/91X/L+mEh7ViAaRkzaEPY6tpxrf+ZjCNbEEjh7aQkjUf/jB2JsPZ3/zNYI+9BIE79IBeO/z0np9m6/KtfOS7H6Fgtn7SvQAhOL3j9xFmjpVP/0VnGthphOD07/8+IpebK8wXVXp9LQVB7BATNYKI2NSXOs0aWe87OxaqNYtUEkjN471HjU5EnR59dIJz58rccYeL7EbLqqbsJxLIdHgcuk0nHVJ6ite/bh3PvnCRQ4e9P5i39SxuUvjDfB5slyn8YXZwS+wQDuKIfkQZHBxc8PP5/Hn+6od/xcuveDl3bL7D8/GGzvwbmcl9nN36G9iJ7qR9LnZol6F/+zcy+/Zx9jd+A3tkJNBjL0XQDr2g1w6aovH/vfr/Y3x2nL996G8971/ObqG4492MnvoSqakngm9gFyhv2ULxl3+Z0S99idQTT/S6Ob7p9bUUBLFDTNRoN2JTqFRT9rNG1l/KvpUDRG0g5o9ORJ3+9V9PMTCg8ZrXtB7oq7kcCFEdiPkkjv615k0/dhWqJvjXrz3jeboeQp1L4Vespef5h/o8qCr2wEB1+cYmVfhD7eCS2CEcxBH9iJKb9zRQSsmHvv0hTNvk927/Pc/L4ajlC6w+8hEKQ9cwue7fB93UJcm5LEriBvXCBVZ/5CMU9uxh8t9H06FXhMHhujXX8Zadb+GTj32Sp8af8rz/+JXvoZJcxdqn/hBhlzvQws4z/iu/QmXVKtb+0R8hytF0CMO11C6xQ0zUsCwLy2U178WYtslsZRZDM0hq3orPAShWHuGY2NpAW6v0tOPQiHze4t57z/JjP7aKVKp5u5TZWYRpVuflt7FKT9AOvaDTDsuXpbhl7zru/fYZcuVZz/tLNYmjGnPXXSPCfh5kMlmtwp/PI5aItIbdwQ2xQzjopkM80A+Q+csnfeXoV7j/xP382st/jQ0jG7wdSErWHPoTFLvIqV1/3NHl9BYT2BJQUrLmT/4EpVjk5Ic+BEr3LrV+WMYqLA6//crfZnlmOX/wrT+gYlU87ZsYWMbpnf+ZZP4EY8/+dYda2FkSy5Zx+oMfJHn8OGN/8ze9bo4vwnIttUPsEBM1VFVF9TFAdaTDdGkaRSi+UvaFU0Gx8jhq0nOV/cX4dViKb35znGLR5s1vXtt0O1GpoBQKOMmk5yr7iwnaoRd0w+FNd27kwrjDDx85Tdny/lDb0bJIoaKY0yCdS96PwnlwslmkqqJMT4MTTYdWxA7hoJsO8UA/QBKJ6vq252bP8V/u/y/sWb2Hn7v25zwfZ2j8awyd+zbnrnof5YFNQTezKXWHdhn62tcY+va3Oferv0plUzQdeklYHAaNQf7oNX/EsYvH+JuHvA10E4kEs8tfzsTat7D8xCdITT3ZoVZ2jkQiwewrXsHEW97C8n/8R1L79/e6SZ4Jy7XUDrFDTNRwHAenwWChFblyDolkKDmEIjzeokkb1ZxBKhqO5j/dvY5fh6W4++5TbNyYZs+e4aU3sm3UmRmkplWXP2uToB16QTccXv3qMQZTWf7v3ePkyjlsx/Z2AKFg64MIJKo5c8nbkTgPioI9OIiQEnUmog4tiB3CQTcd4oF+gExMTGA7Nr/3jd/DtE0+9LoPeZ5bpxdOsubQH1MYuoYLG9/ZoZYuTRBrPesnT7Lmj/+Ywp49XPj5nw+gVd7oh/Wqw+TwqitfxU9e/ZN8bN/HeOTkI673qzuMb/tPmMlVrN//OyhmtNKX5xz+03/CXLWK9b/zOyiz3lMbe0mYriW/xA4xUUMI4XnKXr6Sp2yVySQy6KrH+ZtSoprTgMTWBgNZxtaPw1IcPz7Lo49Octdda5c+ppSo09MgJfZg+Bx6RTcckkmVt/zkOr7/7TznzpeYLk17n6+v6NhqppZVsvD/ycicB12vLrlXqVzyf31kHJoQO4SDbjrEA/0AGR0d5R8f/UceOvkQH7jtA2wa9RjJdkzW7/8dAF685iOgtF56JmjaXuvZNFn/O78DQvDiRz4CWgQdQkDYHD5w2wfYMLKBD3z9A0wW3VXmrTs4epYXr/kIemmcNYf+GLzePPSQOYdslhc/8hH0M2dY86EPRdIhysQOMf1OySqRr+RJ6knSuvcK84o1g3Cs6iC/B/cOrfj0p58nkVB4y1vWL7mNMjODsKzqIL8H9w6XOz/1U1cgbYV7/20ay7HmVn3wgtTSOGoSxSog7FIHWtl5ZDqNk0yiFAqIUjQdYmLqxAP9ABmfGuejP/oor9/yen5y50963n/lM/+L9PR+Tl39R5jpdR1oYWsqFW/zsBez8i//kvT+/Zz6oz/CXNt8Hl6naNchDITNIZ1I81/f8F+ZLE3ye9/4PVdpffMdiiPXcu6q9zE8/jVGTn6xk00NlAUO117Lufe+l+GvfY2RL0bTIarEDjFRQ0rpOiJq2ia5cg5d1ckmvKerK1YexS7jaANINbhaEF4cmjE5WeH//t9T/MRPrGF0tPEUFiWfRymXcQYGkAHWswjKoZd0y2H9+jS33rri/2/vzsPsqOr8j79PLXfpvr1nDyEJJpCAQECNoIiKoo7OsIkLDgojooKDOvwcEVzQeXjcRhzBUXRAfwjOD1AIiPOoDCqIzAhCMGxBIGRfoJPe717L+f1R1Z3uTt/uvunbfaua7+t56rm3696uPp+ue+rWqTp1irvu6CRpNFByS+TKlUehr8S3mtCGjekODA3OF7f14Dc1oW0bc2BgaHC+uGUYi2SIhpnMIA39Gtqydwuu7/KuI95VdZeMlj2/Zu7W/0vXkvfRv/Ad01TCiZWmMLJ4y69+xdwbb6Tr/e+n/+1vr2GpqjOVDFERxQyr563mcyd/jge3Pcj3HvrehO8fnWHvYRcwMOf1LHzmq7G55d4BGT7yEQZe/3oWfvWrsbnlXhQ/S9WSDCJuDMPAmMQgtK7v0lfsQ6FoSbVUve+gvMLQ4Hu+dXD3mq9kshkm8vOf76BY9Dn33LEHJlaFAkYuh59K4TdEM0M9zWSGc845lH37Svzht32k7BS5co6CU6huIUrh2S1ojOByEt+N33pQCq+lBW0YweUkbgwzjEEyRMNMZoj3fypicn5w5LOjoaOq30v1P8Pip75ErvV4Xlx12XQUbdKaDnLwm9Qzz7D4yivJHX88ez772RqXqjoHmyFKoprhPUe/h3cf9W6uf+R6/vv5/x73vQdkUCY7jvkGTmohh264FKv40jSWtDYOyGCa7PzGN3AXLODQSy/FeimGGWJIMoi48TwPzxu/55Pne/QWegFoTbdWPfie8kqYzgDaSNRk8L0DyjeJDBMplTxuvXU7r3tdBytWHFhGVSphDgygE4maDL43Wi0y1NtMZjjppDkccUQT11//Ag1mhoSZYKA0UP1I/MrAs1sAMJ1ePLccv/VgGHgtYYbeXrxyDDOMIvUhGmYygzT0a2j73u0AtDdM/lpMu7CbpY99AjfRyvY1V6ONKgfgqbH+MUYanYi9ezdLP/EJ3NZWtl99NdjxyxA1Uc2glOKKN13BmoVruOKeK/jL7r9UfO9YGXy7he3HXYPh5lm6/uLID843VgavpYVt11yDkc+z9OKLIz84X1Q/S9WQDCJuLMvCGuc6c1/79BZ7h0bYt6q8rl75ZUw3GGHfs1tqMnDdaBNlmIzbbtvB3r0lLrjgwDGLVLkcjLBv20GDKqIZ6m0mMyil+PjHX8HWrXl+85sXaUm1YJs2/aX+qm+xi2Hh2i0oNEk/i2XGsMlhWbgtLSitSWazWDE/kyz1IRpmMkO8P7ER01fuAyZ/Rt8s97F0/UUYXpFtr7oOLzlnOos3Kel0uqr3m319LL3oIoxikW3XXYc3J34ZoijKGRJWgmv/7loWNi3kkl9ewubuzWO+r1KGUtNKtq/5NqncZg7d8E8oP7rXLlfMcPjhbP/2t0lt3syhn/700DV8URTlz9JkSQYRN47j4FTYLvjap7fQi699WlOtVY+wr/wyptOHViae3TotDWQYP8Nk5HIuN9zwAiec0MHatSP3i1S5jNnXhzbNaWvkw9QzRMFMZzjllPmsWJHhhz98Ad+HllQLpjLpK/UdRGPfxrNbccsl/Fwn6BieibVtvNZW3FIJv7MTYnw2WepDNMxkBmno11B3oZu0nZ7UiLmG08/S9R8jkd/BtuOuoZRZMQMlnJhdxdl4o7+fpR/7GIkdO9h2zTWUVsQvQ1RFPUNbuo3vn/F9TGVy4Z0XsqN3xwHvGS9Dbs7r2HXUV8h0P8ySxz8DfjQ32uNmeN3r2PWVr5B5+GGWfOYzENEvnqh/liZDMoi4sW17zHXu+R49hR487dGSbKm+ke+VRjXyp283rlKGybrppq309Dh88pMrR8xXpdL+Rn5rK0zjWdKpZoiCmc5gGIqLLlrB1q05fvGLXRjKoDXdOtTYr7YbvzZsVEMHtmVglntj2djXto3q6MA2DMze3tg29qU+RMNMZpCGfg3t6t41qbP5hjPAsvUXkRp4lh1r/o18+2tmoHSTM9l7PRsDAyy76CJSzz7L9u98h/xr4pchyuKQYUnLEq4/63rKbpkP3/FhdvSNbOxPlKF38WnsXn0FzZ33BbeVjGBjf8IMp53G7iuuoPn3vw9uKxnBxn4cPksTkQwibsY6Y+P6Lj2FnqEz+Qlr7BHoK1FeIWzkW9PeyIepnXXq7Czyk59s4ZRT5nH00a1D81WhEDTyLWvaG/kgZ/8O1qmnzue441q55prn6O93hhr7lmHRV+yreoA+xzcoqkYUGrPcE8nv+4k4hkGxsRGlNWZPTyS/7yci9SEa5Ix+TPWV+yZs6JulfSx/5MOk+zey49hvMTDvjTNUusmZzL2ezX37WP7hD5PeuJEdV19N9uSTZ6Bkkzcb7lcdlwyHzzmc68+6nryT57yfn8fz+54fem0yGboPPYc9R3yWlpfuZelfPonyqhzdd5pNKsM557Dns5+l5d57WfqpT6EK8csQdZJBxM3oMzZlt0xPoQfgoLrrG252aOC9mWjkw9TOOn3968/gupr/83+OGJpnZLNDA+/NRCMf5OzfwVJKcfnlR9LTU+b7398EEDT2U60krSQDpQGypcmPT2PbNnayETccoM9yeiN92d5YbNvGbmzEDQfos3p7UTG7barUh2iQM/ox1TnQOW5DP5HbzmF/Po9kbivbjruWgflvmcHSTc5Et4BKbN/OYeedR3LrVrZ997sMnHLKDJVs8mbDbazilGHV3FXcePaNKBTn3X4e63etByafoWvZB9l15JfI7Psflj360eBof0RMOsMHP8iuL32JzIMPsuyjHw2O9kdEnD5LlUgGETfDz9jky3l6i70YyqAt3VZdI1/7mOU+DDePb6ambeC9sRzsWaf77+/k3ntf4mMfewWHHtoIvo/Z14eRz+OnUtN6Tf5ocvbv4K1e3cx737uEW2/dztNPB2NQKRXcBjJtp8k7efqKffjan3BZQxkMGy/RhlYmZrkXw81Pd4yaGcpg23htbWjTxOztxcjHMEOMSYbqSEO/hvZl99GRHruh39j1MIc9dA6m08eW11xPdu4bZrh0k+O6bsXXGh9+mMPOOQezr48t119P9qSTZrBkkzdehriIW4aVc1Zy03tvoqOhg4+s+wjrnlpXVYaeJe9hx7HfIt2/kVc8dA7JgeemsbSTV1WG97yHHd/6FumNG3nFOeeQfP75iX9pBsTtszQWySDiZvCMTa6cI1vOkrSStKfbMQ1z8gvxHcxyD8ov4VkZfLt5xhrIcHBnnXp7y1x11UZWrMhw/vnLwXEwe3pQpRJeJoPfHP0MUVPPDJdccjgdHQk+97nHyef3b8Oakk1kkhlKbomeQg+ON36jZUQGZeLZbfhmMuipUu6DSRwsqLcRGUwTr60NP5kMeqr09YEfswwxJRmqIw39GnF9l55iz4Fn9LXPnC0/Ztn6j+Gm5vHCCbdQaF1TlzJORmNj44EzfZ85P/oRyz72Mdx583jhllsorFkz42WbrDEzxEwcMyxuXsxP3/tT1h6ylit/dyVfvvfLFN3ipH+/f8Hb2PKaG1F+mcMePpeW3f81jaWdnGrXQ//b3saWG29Elcscdu65tPxX/DJEkWQQcTN4xqbklrBNm5ZUC6qKBq7h5rGcXkAHZ0CtiQf5rbVqzzr5vuaKK56ku7vEVVcdTdIpYvX2gtbBGdCG6GeIonpmaGmx+drXjmHbtjz/+q9/HfFag91AW7oNrTU9hR5y5Rxa6zGXc0AGpfDtFnwrg9JlrHI3yot2r6cxM7S04GcyqHIZq7sbFfGeW1IfokHO6MdQT6EHrfWIhr5V2svSxy5mwXP/Rv+8U9j82ptxGpbUsZQT6+vrG/Gz1dnJ0osvZsF3vkP/Kaew+eabcZbEK0McxTVDS6qF753+Pf7hVf/ATY/cxAdu/QDP7Zv82flC69G8cMItFJtWs+TJy1n85Bcw3Prdp/5g1kPh6KN54ZZbKK5axZLLL2fxF76AkY1XhqiRDCJuBs/YeNrDMqq4X7LvYpZ7MNwsWiXwEu1ooz5nr6o96/TjH2/hj3/cy2WXruCYhR5GNhtcj9/ejq7TGTg5+zd1a9d2cP75y7n99p3ceefOEa/Zpk17QzspO0WunKOn0IPrH9h7qVIG32rAtVvRysB0+jCcfqhwsKDeKmZoaMBtbUUbRnCJSn/8MsSJZKiONPRrpCvfBRA09LWmddcvWPng6TR2P8quI7/IjmOvxrcydS7lxIbOOmlN6113sfKMM2h89FF2ffGL7Lj6avxMjDLEWJwzWIbFpSddys3n3kxXvov33fI+rnv4ugm79g1yU/PZ8pof0XnYR2nd/UtW/M+ZZPY+OM2lHtvBrgd3/ny2/OhHdH70o7T+8pesOPNMMg/GK0OUSAYRN47jUCwV0VpPrru+9jGcgeDMpvbw7Ga8RMuMDLpXSTVnnX71q91ce82znHlKMx84NYPyfbzm5uB6/BkYdK8SOftXG5dcspITT+zgX/7laf70p30jXjOUQXOymZZUC7726c53M1AaGHHt/rgZDDvoym81YHhFrHJX5AbmhQkyhNft+w0NGMUiVldX5AbmhWh8lqZKMlRHGvo1MtjQX6GyLP/z+Rzy1BcoZlay6XW307PkvTN6TdpUWJZF6q9/Zfn553PIF79IceVKNt1xBz3vjVeGuJsNGd62+m3cee6dnLriVL7/0Pc566dn8eDWSTZ2DYvOlZew+bU345sNLHvsIpb85dPY+Z0T/24NTWk9WBadl1zC5ptvxm9oYNlFF7Hkn/4Je9eu2hVwUsWI/2dJMoi4sW0bZQbfmZYaZ91rjXLzWOVuDK+Ab6ZwE+1oMzVDJa1ssmed/vhAJ1+94lFOPcbkys8sRzc04La3o1PxyRBlUchg2wZXX72GZcsaufTSDWzYcOCAs0krSXtDO2k7TcEp0J3vJl/Oo7WeOINS+FZm/0B9zgBmuTtSI/NPKkMms3+gvoEBzO7uSI3MH4XP0lRJhuqoStfTvBwcddRR+rbbbqvJsu5+5m7+/fefZ8fKBNpq5KWVn6TnkLPqejS+Wslnn2X+DTfQdM89eK2tvPTJT9Jz1ll1PRp/MCzLiv3AV7MtwwNbHuCbD3yTbb3bePXiV/Px136ctYesndQ1q8orMWfbTczdfD34Dr2Lz2TvYRfgpBdPd4SarQdVKjHnppuYe/314Lr0nHkm+y64AGfRohqUcnyz7bMUV7XMcPTRR6/XWr+6JgsTQ2q5T2DbNvlynp5cD3Ma52CM3hfQGuUVMLw8SvvBbfOsRqhTN/2xDO6IVjzzpDW/++UWvnXlepYvbeDqf19Lw/zWunXTH8uEGWIgShlefLHABRc8wt69Ja699nhOOGHsAahd3yVbylL2yhjKoKUhGKl/sttA5RUx3OxQ3fDNNNpM1jJK1apdD6pYxMhmUb6PTiTw02l0Ml4ZokgyjK3SfkG8WnAR1pXv4pQGMHWZra/+AT1Lzo5NIz/19NMs+fSnWXn22WQefJB9F1zAc7/8JT1nnx27Rj7MjvtVz7YMJy8/mXV/v47LTr6M7b3b+ci6j/Chn3+IB7c+WHHwnkHaTLL3sAt57qS76TnkLFp33cnhf/xbFj11JYnc9hnLMBU6mWTvhRfy3N1303PmmbStW8fh73oXi668ksT2eGSoJ8kg4sYwDLTSGMoY2cjXHoabxSp3YbrZYATyRCteojVSjXwIMhhj7QO4LvQPcNu1j/GNzz/CyiPb+foNbyJ9yNxINfJhnAwxEqUMCxak+clPXsvixWkuvvhRbrtt+5jf4ZZh0ZpupTXVimmY5Jwc3YVusqUsnu9N+He0mcJLdASXvGoX0+nDLIVd+ut0grLa9aBTKbyOjuCSV9fF7OvDHOzSH5MMUSQZqiN9CWukK9/FWxoNXCtDsWlVvYszIaOvj9Zf/5q2O+8kvXEjXlMTnRddRPnjH6c35hWoWJz8SO9RNRszJKwE5x53Lu85+j3c+fSd3PDoDVz0i4tY0rKEM448g9NWn8aCpgUVl+emFrDnyC+yb/mFzNn6Y9p23kH7rnVk29fSs/gM+ue/FW2mpzXDVLkLFrDni19k34UXMufHP6btjjtoX7eO7Nq19JxxBv1vfSs6He0M9SAZRNxorXE8J7g+X2uUX8TwSkNdkX0ziTYb6jbQ3mSMaMBpjSqVMIpFunYP8M1vPsOD67O8/tTD+PLXjieZrOK2gTNoNvRajVqGOXOS3HjjWi677Amuumoj69f3cPnlq2lrSxzw3oSVIGElwISCU2CgNEDeyZMwEyStJCkrVblnn1L4VgOYaZRfwvDymM4AqCy+kUSbKbRx4N+cLge1HpTCb2iAdDqoP/k85sAAZLP4ySQ6lUInIp4hYiRDdaTrfo266V1+z+V81/017QvfwPbjv1uTZdaa2dND5sEHab7/fpruvx+jXKZwxBH0nHkmvaedht/URCaTIVvHEcJrQTJEw0QZHM/hN8//hruevos/7/wzCsWJh57Imw97MycvP5lFzeN3a7dKe2nbuY62XXeRKOzEszL0z38r/XPfRK7jBHxr6oOfTfd6sPbupW3dOtruuovEzp14mQz9b30r/W96E7kTTsCvwQBuL4fPUhzUMoN03Z8etdwnSCQS7Mvtw3AKtJoGaI1WBtpM45spUNFsGA+XsCxUqYSbzaLKZZyyx8/X7eY/frqLAc/mM5cdxdlnH1LVbQNnWiJsRJUjdJ10taKawfc1N9ywmeuu20QmY/GpTx3O6acvxrYPPFk0mKFQLFB0ixTdIp7voZQiYSaGpokGrlS+E1zy4pf21ykjiTYSQaN/Gj+LtVoPqlwOuvWXwgyGgU4m0YlE0OiPQYZ6kgxjq7RfIA39Gn2pf+Gu87krvZ49R/wzXcs+VJNlTpWRy5F+4gkaNmwg87//S8Pjj6O0xunooP/UU+k56yyKq1eP+J158+bR2dlZpxLXhmSIhmoy7OjbwS82/oJfPfsrdvTtAGBFxwresOwNHLfoOI5dcCztDRW6Pmufhp71tO26i+bO+zDdAXxlkW9/DdmOE8m3rqHQfORBXd83Y+vB92lYv562u+6i+b77MAcG8C2L/GteQ/bEE8mvWUPhyCMP6vq+l9tnKapqmUEa+tOj1g39zoEXaSxnSSWb8K1MpM/eA+B5KMcJpnKZpBk0uvb1FLnrni5u+tludu31eOMb5/LP/7yKpUujfyeJZLjNLEX8/ubjiXqG558f4KqrNvLYYz0sXpzmwx9ezjvfuYhMZn+n4bEyOJ5D0S1ScktDI/SbhknCTGCbNrZhV274ax2e5S+hdDnoCq8UWtloI5yUVdNLaGu+HgZ7yZRKwYB9gxlse/9kWTW9hDbqn6XJkAxjq0tDXyn1DuAawARu0Fp/fdTrSeAm4FVAF/A+rfXW8LXLgQsAD/ik1vqe8ZaplFoO3Ap0AOuBD2qtxz1UUssv9RtvfxvfatrDphN/RrF59cS/UEtaY+3bR3LTJlKbNpF84QXSTz5JatOmYBAQpSiuXs3AG99I/xvfGDTuK2w4EolErI+SgWSIioPJoLVma+9WHtjyAA9seYDHdj82dE/eQ1sO5egFR7OiY8XQtKh50cjrX32Hht4NNO19gKa9D5DKbQ5mK4ti85EUmldTyqygmHkFpcwKvERbzTNMmePQuGEDmQceoOkPfyC1ZQsAvmVRPPJICqtXU1qxguIrXkFpxQq8tghmqDHJMNJsbOjP5P5CJbXcJ8CA3uwumrXGSM+P1vX3vo/yPHBdlOehXBfluuCHt0NTiu6s5pEn8vzmvn387oEuHEfz2te2c8EFh3HiiXPqW/4qyMBdM0NrzR/+sJcf/vAFnnqqj3Ta5C1vmc+b3zyPE0/soL29AaicwfVdym6ZslfG8Z2hrs2GMrAMC8uwMA1z6HHkuBcapR2UXw6n/QP+aWWiDQuUhVYWWplBb5qDOGs+retB66EDbKpcDurj4EumGTT4LQttWWjTBDOCGWaIZBjbjDf0lVIm8BxwKrATeAQ4R2u9cdh7LgaO0Vp/XCn1fuBMrfX7lFJHArcAa4FFwG+Bw8NfG3OZSqmfAeu01rcqpX4APK61vm68MtbyS/2xO17NuzM+W972SE275KlSCau7G7O7G6urK5i6u7E7O7F37yaxaxf27t2YudzQ77htbRRXrSK/Zg35Y48lf/TR+M3Nk/p7HR0ddHV11az89SAZoqEWGYpukY0vbWTDng08/uLjPPXSU3Rm958VTZgJFmQWsLBpIQuagseFTQuZm5lLa6qVeSYsKm+nI/scjX0bSA08FwyAFfKsJsqphTjphTipBTjhczfRjme30jRvGftyuubX/lfD7Oqi4fHHg2nDBlLPPYc5rAu419REeeFCnIULcRYsCB4XLsRtb8drbaVp2TL2aV3za/9nktSHkWZbQ3+m9xcqlaOmDX0T8v1bSZuNqNTc2ixzIr4fTFqjtA7O0IfzlO+P+HmQ42r29rjseNHhry8U2Ph8nqefL7B5cxatg+ux3/GOBZx++mJWrZrcfkSUpMJb/MV5jIw4ZdBa8+STfaxbt5Pf/vYl+voclILlyzMce2wbq1ZlWLmyiUWLUsyfn8Kyxj7p5HgOju/g+i6u5+Jpb8R1zUqpoYMAhjIwlTk0z0Bh4GJqH1N7oF2UHjUAoDKCbv9hw19jBGf/lYFGhT0BjBGN6RldD4MNf9dFOQ44TlB3hzOMoNt/2PDXhhGcxDMMtFJDz+uWYZpIhrFV2i+YzsH41gKbtNabAZRStwKnA8O/ZE8Hvhw+vx34dxVc7HU6cKvWugRsUUptCpfHWMtUSj0DnAJ8IHzPT8LljtvQrxVdLvHmXSX2mvNpsu7HCK+9GeoCN9YUVl5VKmEUChi5HGYuh5HPB9Pg8wpngLzGRsqLF1NevJjs2rWUlywJzvKtWIHXMfbtTiYj7iNZgmSIilpkSFkpjl98PMcvPn5oXn+pn81dm9nUvYltPdvYM7CHPQN7+NP2P7E3txfNgQcvTWXSkmqhMdHKsuRcXpmEVZbHEs9lodPL/OxLzKVABwfWt/mAg0XBSFFWSRwjgWskcMPnjgp/NhL4mPjKQisDX5loZYaPFj4m2jDxMdCGhcZAKQNQaFR4nasCpVAYaEAPnrVYoNALMvD2N4B+A8nuLJmd3TTu6CLd2Ud63wCprRtpfvQh7NyBXcHmA55tUW5K4aUSeEkLL2mPnFI2XsLCt0y0aaBNAz981KYRzDdU+GigLQNtBGXWiv07E4pgJwPCrpQKwtd1OA9FuDMV/Dj0ntHLCnmpNMViYfIfnKrMzPXF9kmnw/xXzsjfiqEZ218Ytcxp89cnt9P30i5saxG+coYG2da+Dp/r4PrcwZ912HMXHx0+174e9r5gS6F9P5jl66ABD2jfR2kd/p7GcXwcx6dcDicX8iVNNu/Tn/PozWq6+jx2dzp0djlBXQwtWJBi1aom/uZvFnLSSfM46qgWwD8gX1zE+azfoDhlUEpxzDGtHHNMK1/4wpFs2NDLo492s3FjPw880Mmdd+4Yeq9hwLx5KTo6EjQ12TQ1WTQ12WQyFpmMRTptYlkKyzKwbYUyNYbpY9rBI0qjlY/WPlr5gGLEV5EKyqOUgdIaU/mYSmMpH0NpTKUx8cNPvw5/m/A7OHwafj+DgWEaaAw8L3ivHvzOHloCQ+NV6FHfK/qAm5xV+t45cP7QHo3WKM/D8INJhQfwhqYx9n2GyhL+YwzTRCuF5+sR38ma4f+0Yb83OG94OYaKOnYGNcblEqP/H1NhmsHyPS/C26UJeluYpkEyneCoNQunvSjT2dBfDOwY9vNO4LWV3qO1dpVSfQRd7xcDD4363cGbZo+1zA6gV2vtjvH+aVfa9SRLrgd4Cfj0uO/1LWvk9Te2jd/YGEzpNG5HB15jI35DQzA1NeG2t+N2dASP4aQbGqYlS29v77QsdyZJhmiYrgzNyWbWLFrDmkVrDnjN8RxezL5IV76LvkIfvcVeeou99BX76Cv2kS1nKTgFNrhF/lQsUHDCydUUHI+UViw0XdqUR4fJ0NRuurSbWTJGlkYDGhXBowENav+jrcAKp2nXHk6jFYFeIAfk9z+aeZd0PgtloETwmAsfnWGPHsF+fYS/Q+PoiXOfwrjslnoXI6pmcn+hIsMwsCwL0zTxfX//TrvWGIaB53lYloXjONi2Pe7jL296nL/87zb29ezgYA8m6WENCB02OPY/3//oo8LJGPGzhxE2YxS2bdDcHDSkmpttWuakOfmVDcyfn2TRouDxla9sp6nJGMqQyWRwHAff94eyeZ4X3DowPHKhlML3fUzTnNT/xbZtXNed8v94sssYK8Pox6hnSqfTeJ6H53mTLk8UMqVSKU44IcHrX79wqKvytm19vPDCAHv2FNm5M8eLLxbZt69INuvS2Zkjl3Pp73coFCa+Bd/o2oLSoIIDAPt/Hnw+7D0w6lGjlMZQGsMIDgIMnxThowoPy4ePhhr83zLUyK7nuJRKa4JDEfunwXnBoQodbg32b1mMwc8H+7dSlQ4YiNqat7iNa2/7SM22e5W87G6vp5T6KPBRgEWLFjFv3jz6+vpobGzEsiy6u7tpb2+nWCzi+z4NDQ309vbS1NSEYRj09vbS1tZGoRCcXUqn07zkHMmT37iA1iXH4jccSmbuXPJao1Ipkk1NdGeztM2bh6sUuXyelpYWcrkclmWRTCaH/qbjOBQKBZqbmxkYGCCZTJJIJBgIXy+Xy1Aq0dbURH9/P+l0Gtu2h36/VCrhui6NjY0HnamlpYVyuUxPTw+tra34vs/AwACtra3k83kMwyCVSg0t03Vdcrlc1Zm6h2UqlUo01TBTU1MTu3btOmA9xSlTc3Mz5XJ5ws9elDO1tLSwY8eOquvTVDOlu9O8auWrppSpra2NfDFPMp2kWCrS1dNFMpVEK82+7n00NmfI5rP0+z7JVJL+/n4aGhtQStHf309TppFiMYvyPVIJk4H+HjLpJHgOhXyWTDpBuVQANLZtkR0YoDHTgOe6lEpFGtJpSqUipmFgWya5XJbGxgZ816PslEmnkpSKRSzLxDJN8vkcjQ0NuK6L57okU0mKhSJ2wiadTtPb00tDYwOu4+H7HolkgmKhSCKRwDAN8rl8+LqLr30SiQSFXJ60aaO0ppTN0ZBM4hVKKNfDNk1KAzlSiQTK15TKJVLJJE65jIGBZRoUC0VSqSTa9XGdMolEArfsBN0sTYNioUAqmcL3PDzHxU7YOKUylmliGAalUolUMoHn+1iWhfZ9yuUypmVhGgbFUvA3Pc/D1xrbsiiXyli2jWGoodddN9hhtCyTUqmMnbBRqKDMiSRueC2kZVkUS0WSyWR4VtQhOfi6AssMXk8lU/i+j+u6JBIJHHcwkznm6+VyGcuyaHv9aRQsqybbCFE7o/cJauW9F57MW8/ox7QaCRoYBkopNEFjy/M9bNvC9YLPt+cHO3qe52EnbDzPHWqwWZaB72sMQw01JAzDwA+X4Tgutm0N/Y5p+jQ2JlHKJ5NJYhg+tm1NusE2yHVdXNeNdQ+z2ZBh8EBFlO9uMBHHcTAMg4UL0yxYkJqwcQMmuVwJMCkUyoBBqeTieVAu+7hu0PMlqBcGjhM0gIKGkDXUIHIcN/wbg697Yd0JegAM9oIxjP0HQgZ/13VdTCt4tCwT39dYVnCgRBkK39ej6pPC88JlOA6WZeG6DrZlhMuwRj2aeJ7GCG7KAQQHCnxfY5r7f8dznTF+d//j4EGdscozPJNlWUMZBr+Xxl2G7wfL8Dws08AZXQ6nQnlcD8NQIzJp3xuRaaLH8TIBmOaBGabyf5m4PD6GqrSePCzLnPBxeHlM0yDdWP3gygdjOq/RPxH4stb67eHPlwNorb827D33hO/5k1LKAl4E5gKfG/7ewfeFv3bAMoGvA3uBBeGR/hF/u5KaXo8HNDU1MTAwULPl1YNkiAbJEA2SIRokw0iz8Br9GdtfGL7M0Wq5TyDXkUaDZIgGyRANkiEaZvIa/ek8xPkIsFIptVwplQDeD9w96j13A+eFz88Gfq+DIw93A+9XSiXD0fRXAn+utMzwd+4Ll0G4zF9MYzYhhBBC1MaM7S/MQBYgOIMZp2urxyIZokEyRINkiAbJUJ1pa+iH18v/I3AP8AzwM63100qpf1FKnRa+7UdARzh4zqXsPzL/NPAzgkFzfgN8QmvtVVpmuKzLgEvDZXWEy55R6RiPaj1IMkSDZIgGyRANkmF2q8P+wrSzbXvouuS4kgzRIBmiQTJEg2SozrR13Y+DWnfdH319WxxJhmiQDNEgGaJBMow027ruR0Ut9wlMM7jNrudVO6hYdEiGaJAM0SAZokEyjK0eXfdfdlpbW+tdhCmTDNEgGaJBMkSDZBBxI2edokEyRINkiAbJEA0zmeFlN+r+dApG8Yw3yRANkiEaJEM0SAYRN3HvgQKSISokQzRIhmiQDNWRhn4NxX1UaJAMUSEZokEyRINkEHEzeLYmzt1LJUM0SIZokAzRIBmqI133a2g2dM2UDNEgGaJBMkSDZBBxM3j/9jiTDNEgGaJBMkSDZKiONPRrKJ/P17sIUyYZokEyRINkiAbJIOLGNM2hAZfiSjJEg2SIBskQDZKhOtJ1v4YMI/7HTSRDNEiGaJAM0SAZRNzMhjEZJEM0SIZokAzRIBmqI3seNZRKpepdhCmTDNEgGaJBMkSDZBBxo5RCKVXvYkyJZIgGyRANkiEaJEN1pKFfQ93d3fUuwpRJhmiQDNEgGaJBMgghhBBCVEca+jXU3t5e7yJMmWSIBskQDZIhGiSDiButNVrrehdjSiRDNEiGaJAM0SAZqiPX6NdQ3EeBBMkQFZIhGiRDNEgGETezYUwGyRANkiEaJEM0SIbqSEO/hnK5XL2LMGWSIRokQzRIhmiQDCJu4nyP50GSIRokQzRIhmiQDNWJ/2GRCGlpaal3EaZMMkSDZIgGyRANkkHEjWVZWFa8z6VIhmiQDNEgGaJBMlRHxf06h6lQSu0FttVwkXOAfTVcXj1IhmiQDNEgGaJBMoy0VGs9t0bLEiHZJxiTZIgGyRANkiEaJMOBxtwveFk39GtNKfWo1vrV9S7HVEiGaJAM0SAZokEyiDiaDetcMkSDZIgGyRANkmHypOu+EEIIIYQQQggxi0hDXwghhBBCCCGEmEWkoV9b/1HvAtSAZIgGyRANkiEaJIOIo9mwziVDNEiGaJAM0SAZJkmu0RdCCCGEEEIIIWYROaMvhBBCCCGEEELMItLQnySl1I+VUp1KqaeGzWtXSt2rlHo+fGwL5yul1LVKqU1KqSeUUsfXr+T7Vcjwr0qpv4blvFMp1RrOX6aUKiilNoTTD+pW8GEqZPiyUmrXsLK+c9hrl4fr4Vml1NvrU+qRKmS4bVj5tyqlNoTzo7oeliil7lNKbVRKPa2U+lQ4PzZ1YpwMsakT42SITZ0YJ0Ns6oRSKqWU+rNS6vEww1fC+cuVUg+H/+/blFKJcH4y/HlT+PqyugYQB6XCtjw220CQ/YIobAMh/vsF42zHY1MfxskQm/owTobY1IdxMsSpPkRnn0BrLdMkJuBk4HjgqWHzvgl8Lnz+OeAb4fN3Ar8GFHAC8HC9yz9OhrcBVvj8G8MyLBv+vqhMFTJ8GfjMGO89EngcSALLgRcAM4oZRr1+NfCliK+HhcDx4fMm4Lnw/x2bOjFOhtjUiXEyxKZOVMow6j2RrhPh5zoTPreBh8PP+c+A94fzfwBcFD6/GPhB+Pz9wG31ziDTQa132S+IwFQhQ2y2gZUyjHo96ttA2SeIwDROhtjUh0oZRr0n6vUhMvsEckZ/krTWDwDdo2afDvwkfP4T4Ixh82/SgYeAVqXUwhkp6DjGyqC1/m+ttRv++BBwyIwXrAoV1kMlpwO3aq1LWustwCZg7bQVbpLGy6CUUsB7gVtmtFBV0lrv0Vo/Fj4fAJ4BFhOjOlEpQ5zqxDjroZLI1YmJMsShToSf62z4ox1OGjgFuD2cP7o+DNaT24G3hDlFjMh+QTTIfkH9yT5BNMg+QTREaZ9AGvpTM19rvSd8/iIwP3y+GNgx7H07Gb+iRcWHCY6wDlqulPqLUuoPSqk31KtQk/SPYbeqHw92DSOe6+ENwEta6+eHzYv0egi7GB1HcMQylnViVIbhYlMnxsgQuzpRYT3Eok4opcywK2EncC/BmZHeYTuIw//XQ+shfL0P6JjRAovpEstt4Dhisw0cQ+y2gRXEYhs4SPYJokH2CeorKvsE0tCvER30t4jtLQyUUp8HXOA/w1l7gEO11scBlwL/TynVXK/yTeA64BXAGoJyX13X0kzNOYw8Shnp9aCUygB3AJ/WWvcPfy0udaJShjjViTEyxK5OjPNZikWd0Fp7Wus1BGd71gKr6lsiUW9x2QZWEqdt4Bhitw0cRyy2gSD7BBFeD7GrD7JPUBvS0J+alwa7GoWPneH8XcCSYe87JJwXSUqp84G/Bf4+3BATduPpCp+vJzgSdXjdCjkOrfVLYYXygevZ3+0obuvBAs4CbhucF+X1oJSyCTbC/6m1XhfOjlWdqJAhVnVirAxxqxPjrIdY1QkArXUvcB9wIkF3VCt8afj/emg9hK+3AF0zW1IxTWK1DawkTtvAscRtG1hJnLaBsk8Q3fUQt/og+wS12yeQhv7U3A2cFz4/D/jFsPkfUoETgL5hXZciRSn1DuCzwGla6/yw+XOVUmb4/DBgJbC5PqUc36jrus4EBketvRt4vwpGs1xOkOHPM12+KrwV+KvWeufgjKiuB6WUAn4EPKO1/vawl2JTJypliFOdGCdDbOrEOJ8liEmdCMvUGj5PA6cSXFd4H3B2+LbR9WGwnpwN/H5w51HEXmy2gZXEaRtYSZy2gROIyzZQ9gkivB7iVB9kn6DG+wQ6AqMTxmEi6CayB3AIrqu4gOD6id8BzwO/Bdr1/tEWv0dwVOlJ4NX1Lv84GTYRXBeyIZwGR318N/B0OO8x4O/qXf5xMtwc/p+fCCvLwmHv/3y4Hp4F/qbe5a+UIZx/I/DxUe+N6no4iaAL3hPDPjvvjFOdGCdDbOrEOBliUycqZQhfi0WdAI4B/hJmeIr9owEfRrDTtAn4OZAM56fCnzeFrx9W7wwyHdR6l/2C6GaIzTawUoZwfly2gbJPEO31EJv6UClD+Fpc6kNk9glU+AeEEEIIIYQQQggxC0jXfSGEEEIIIYQQYhaRhr4QQgghhBBCCDGLSENfCCGEEEIIIYSYRaShL4QQQgghhBBCzCLS0BdCCCGEEEIIIWYRaegLIYQQQgghhBCziDT0hRBCCCGEEEKIWUQa+kKImlJK3a+UWhU+71BKPVXvMgkhhBBi5sk+gRD1Iw19IUStrQCeC58fAzxZx7IIIYQQon5kn0CIOpGGvhCiZpRSS4FdWms/nHUM8EQdiySEEEKIOpB9AiHqSxr6QohaOpaRX+KvQr7UhRBCiJcj2ScQoo6koS+EqKU1QApAKbUSOB3ppieEEEK8HK1B9gmEqBtp6AshaulYwFBKPQ58CdgInFffIgkhhBCiDmSfQIg6UlrrepdBCDFLKKWeB47XWg/UuyxCCCGEqB/ZJxCivuSMvhCiJpRSTYCWL3QhhBDi5U32CYSoPzmjL4QQQgghhBBCzCJyRl8IIYQQQgghhJhFpKEvhBBCCCGEEELMItLQF0IIIYQQQgghZhFp6AshhBBCCCGEELOINPSFEEIIIYQQQohZRBr6QgghhBBCCCHELCINfSGEEEIIIYQQYhaRhr4QQgghhBBCCDGL/H8e/B+jdBT+0QAAAABJRU5ErkJggg==\n", + "image/png": 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\n", 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" ] @@ -988,7 +1007,7 @@ "ax2.plot(np.arange(100, 301), curva_2, color='darkorange', alpha=0.1)\n", "ax2.plot(np.arange(100, 301), curva_3, color='red', alpha=0.1)\n", "\n", - "ax2.set_title('Posteriori \\n Usando os três valores da altura juntos ($h_i$): {147, 155, 180}')\n", + "ax2.set_title('Posteriori \\n Usando os três valores da altura juntos ($h_i$): \\{147, 155, 180\\}')\n", "ax2.set_xlabel('$\\mu$')\n", "ax2.set_ylabel('Probabilidade')\n", "ax2.grid(color='white', linewidth='0.4', ls='--')\n", @@ -999,7 +1018,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { "pycharm": { "name": "#%%\n" @@ -1008,7 +1027,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -1078,12 +1097,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1134,7 +1153,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": { "pycharm": { "name": "#%%\n" @@ -1143,7 +1162,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1250,7 +1269,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": { "pycharm": { "name": "#%%\n" @@ -1263,7 +1282,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "pycharm": { "name": "#%%\n" @@ -1279,8 +1298,17 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter mu has no priors.\n", + "Warning in '/tmp/httpstan_sr36xgde/model_k6gozcmf.stan', line 4, column 4: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter mu has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -1288,17 +1316,17 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 1.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.6e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Gradient evaluation took 2.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -1333,7 +1361,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { "pycharm": { "name": "#%%\n" @@ -1345,14 +1373,14 @@ "output_type": "stream", "text": [ "======================================================================\n", - " mu médio: 50.37 \t mu original: 50\n", - " sigma médio: 12.01 \t sigma original: 12\n", + " mu médio: 50.68 \t mu original: 50\n", + " sigma médio: 12.0 \t sigma original: 12\n", "======================================================================\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1407,7 +1435,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": { "pycharm": { "name": "#%%\n" @@ -1423,10 +1451,30 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_0a4yqg6n/model_z3lf5w46.stan', line 16, column 27: Argument 50 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_0a4yqg6n/model_z3lf5w46.stan', line 15, column 25: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_0a4yqg6n/model_z3lf5w46.stan', line 15, column 20: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", + "Warning in '/tmp/httpstan_qz7siepk/model_jtn4irmb.stan', line 4, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_qz7siepk/model_jtn4irmb.stan', line 16, column 27: Argument\n", + " 50 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_qz7siepk/model_jtn4irmb.stan', line 15, column 25: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_qz7siepk/model_jtn4irmb.stan', line 15, column 20: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -1434,17 +1482,17 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 8e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", " Adjust your expectations accordingly!\n", " Gradient evaluation took 1.1e-05 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 7e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -1488,7 +1536,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1496,14 +1544,14 @@ "output_type": "stream", "text": [ "----------------------------------------\n", - "Média: 154.59456564993727\n", - "Sigma: 7.769739141269937\n", + "Média: 154.61614566101628\n", + "Sigma: 7.772750797153134\n", "----------------------------------------\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1540,7 +1588,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": { "pycharm": { "name": "#%%\n" @@ -1556,14 +1604,14 @@ " mu amostrado: 154.6\n", " sigma amostrado: 7.74\n", "==============================\n", - " mu médio: 154.59\n", + " mu médio: 154.62\n", " sigma médio: 7.77\n", "==============================\n" ] }, { "data": { - "image/png": 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\n", 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mxwD8IKodk/cdIZeIiEjKtE+wf9Z3ALjczD6n3if4EVRvFLzqCLlEkqUJukiP3H0b1UbviQA+AuAXAHyDu/8jqu+a/Wh9+7+hOlHL99Z/+iMAvr8+u+rz3X0K4N+j+n72e+u/eSmAC9aQ4yht+koAzwLwMQBPB/C7c8sPk/UhAF4P4CSAGwCcAnAzgO87bC4REZGUaZ9g/6zufh2AHwZwDYAbAXwKgCe5+85hc4mkzPZ+JUREJB1m9joAL3X33+k7i4iIiIhI2/QJuoik7CEA3tV3CBERERGRLugTdBFJkpndDdX36s7T4WsiIiIici7QBF1EREREREQkATrEXURERERERCQBmqCLiIiIiIiIJGDYd4CjuNvd7uYXXXRR3zFWZmYAAH2d4CzVJE51CakmcapLKPWaXH/99R9x93v1nSM3bPsEM6n314Ow5wf426D8/WNvg/L3Z799AsoJ+kUXXYRXvepVfcdY2XBYlXkymfScJB2qSZzqElJN4lSXUOo1echDHvIvfWfIEds+wUzq/fUg7PkB/jYof//Y26D8/dlvn4Bygs6G8V2dtqkmcapLSDWJU11CqokwYe+v7PkB/jYof//Y26D8adJ30DswGAwwGAz6jpEU1SROdQmpJnGqS0g1ESbs/ZU9P8DfBuXvH3sblD9N+gS9A9PptO8IyVFN4lSXkGoSp7qEVBNhwt5f2fMD/G1Q/v6xt0H506QJegdmJzCQs1STONUlpJrEqS4h1USYsPdX9vwAfxuUv3/sbVD+NGmC3oFcO08Tqkmc6hJSTeJUl5BqIkzY+yt7foC/DcrfP/Y2KH+aNEHvQFmWfUdIjmoSp7qEVJM41SWkmggT9v7Knh/gb4Py94+9DcqfJp0krgNFUaAoVOp5qkmc6hJSTeJUl5BqIkzY+yt7foC/DcrfP/Y2KH+a9Al6B3K9BEATqkmc6hJSTeJUl5BqIkzY+yt7foC/DcrfP/Y2KH+aNEHvQK6dpwnVJE51CakmcapLSDURJuz9lT0/wN8G5e8fexuUP035HROQoFyv0deEahKnuoRUkzjVJaSaCBP2/sqeH+Bvg/L3j70Nyp8mfYLegVyv0deEahKnuoRUkzjVJaSaCBP2/sqeH+Bvg/L3j70Nyp8mfYIuIiIiIiIikgBN0DuQ6+EXTagmcapLSDWJU11CqokwYe+v7PkB/jYof//Y26D8adIh7h3I9fCLJlSTONUlpJrEqS4h1USYsPdX9vwAfxuUv3/sbVD+NOkT9A7keo2+JlSTONUlpJrEqS4h1USYsPdX9vwAfxuUv3/sbVD+NOXXIhERERERERFCOsS9A2VZ9h0hOapJnOoSUk3iVJeQaiJM2Psre36Avw3K3z/2Nih/mvQJegdyPYFBE6pJnOoSUk3iVJeQaiJM2Psre36Avw3K3z/2Nih/mvQJegdyPYFBE6pJnOoSUk3iVJeQaiJM2Psre36Avw3K3z/2Nih/mvQJuoiIiIiIiEgCNEHvQK6HXzShmsSpLiHVJE51CakmwoS9v7LnB/jboPz9Y2+D8qdJh7h3INfDL5o412ty/OTJ6O3F5iYAYOPMmQMf49SJE2tMlK5zva8so7qEVBNhwt5f2fMD6bRh2T7BQRb3GWb7BUd9vEVt72ekUv8m2Nug/GnSBL0DZtZ3hOSoJnGW4buATamvxKkuIdVEmLD3V/b8AH8b2PcZ2OsP8LdB+dOkCXoHcu08TagmSxT61ski9ZU41SWkmggT9v7Knh/IoA3k+wz09Qd/G5Q/TZqgdyDXa/Q1oZrE+c5O3xGSo74Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblTxP3W28kcj2BQROqSVwxHqMYj/uOkRT1lTjVJaSaCBP2/sqeH+BvA/s+A3v9Af42KH+a9Al6B3J9d6cJ1SSunEz6jpAc9ZU41SWkmggT9v7Knh/gbwP7PgN7/QH+Nih/mjRB74C79x0hOarJEpmuaJpQX4lTXUKqiTBh76/s+YEM2kC+z0Bff/C3QfnTpEPcO5Dr4RdNqCZxxebm7mVTpKK+Eqe6hFQTYcLeX9nzA/xtYN9nYK8/wN8G5U+TPkHvQK7X6GtCNYkrV7j++blGfSVOdQmpJsKEvb+y5wf428C+z8Bef4C/DcqfJk3QO5DrJQCaUE3i2K9p2gb1lTjVJaSaCBP2/sqeH+BvA/s+A3v9Af42KH+aNEHvQK6dpwnVJM7Ir2naBvWVONUlpJoIE/b+yp4f4G8D+z4De/0B/jYof5o0Qe9ArmcYbEI1iSsTuKbp8ZMn1/I4p06cWMvjqK/EqS4h1USYsPdX9vwAfxtS2Gdogr3+AH8blD9N3G+9kSiKAgX5u5zrpprEFaMRitGo7xhJUV+JU11CqokwYe+v7PkB/jaw7zOw1x/gb4Pyp0mfoHcg10sANKGaxHmm7wQ2ob4Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblT5Mm6B3ItfM0oZrEeaZno2xCfSVOdQmpJsKEvb+y5wf428C+z8Bef4C/DcqfpvyOCUhQrtfoa0I1iWO/pmkb1FfiVJeQaiJM2Psre36Avw3s+wzs9Qf426D8adIn6B3I9Rp9TagmcezXNG2D+kqc6hJSTYQJe39lzw/wt4F9n4G9/gB/G5Q/TZqgdyDXSwA0oZoskeGJLppSX4lTXUKqiTBh76/s+YEM2kC+z0Bff/C3QfnTpAl6B3I8u2BTqklcMayGJPdpX9ZLfSVOdQmpJsKEvb+y5wf428C+z8Bef4C/DcqfJk3QO5Dr4RdNqCZx5fZ23xGSo74Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblT1OebzskJtdr9DWhmsTZaAQjvqZpG9RX4lSXkGoiTNj7K3t+gL8N7PsM7PUH+Nug/GnSJ+gdyPUSAE2oJkuQX9O0DeorcapLSDURJuz9lT0/kEEbyPcZ6OsP/jYof5o0Qe9Arp2nCdUkjv2apm1QX4lTXUKqiTBh76/s+QH+NrDvM7DXH+Bvg/KnKb9jAhKU6zX6mlBN4tivadoG9ZU41SWkmggT9v7Knh/gbwP7PgN7/QH+Nih/mvQJegdyPYFBE6pJHPs1TdugvhKnuoRUE2HC3l/Z8wP8bWDfZ2CvP8DfBuVPkyboIinJ9HqOIiIismbaZxDJkg5x70Cuh180oZrEFeMxivG47xhJUV+JU11CqokwYe+v7PkB/jaw7zOw1x/gb4Pyp0mfoHcg18MvmlBN4sqtrb4jJEd9JU51CakmwoS9v7LnB/jbwL7PwF5/gL8Nyp8mfYLegVyv0deEahJnwyFsqPfN5qmvxKkuIdVEmLD3V/b8AH8b2PcZ2OsP8LdB+dOUX4tERERERERECGmC3oGyLFGWZd8xkqKaxPlkAp9M+o6RFPWVONUlpJqkzcxeZmYfMrN3LFn+H83s7Wb2D2b212b20K4zdom9v7LnB/jbwL7PwF5/gL8Nyp8mTdA7kOsJDJpQTeKKjQ0UGxt9x0iK+kqc6hJSTZL3cgBP2Gf5ewE8xt0fAuAHAVzVRai+sPdX9vwAfxvY9xnY6w/wt0H508T7xRUiuZ7AoAnVJK7c3j703xw/eXItz33qxIm1PM66qa/EqS4h1SRt7v4XZna/fZb/9dyvfwvg3qs8rplhMBjAzGBmKMsSRVHA3eHuGAwGmE6nBy4HsPvz7DuNZVlGl88/1mAwQFmWh3ouM0NRFCjLEqPRaG1ZjtLuWZbZc62aZZZ/toO8jizn6mtQHDuGYjxGubW1+51yn0xQbGxU+wXu1c9bW7DBADCDTyawjY3qfpubKDY3d8fB4Phx+M4OitEIXpbw6RTF5mZ13fSiQDEcotzeho1GwOJys90so9EIAHCXv/zLvVnq+9pgABRF9VzjMcrJBCjLPcutKFDu7ODOL/zCaI2LosBgMFhrf+iy7x11HBxlzLXV7vnXoO0xt+7XYJZ/OBx2st5b52uwH32CLpIS9+qfiMi57TkAXrdsoZldYWbXmdl1t956a4exRBKifQaRLOkT9A7MDr3QpztnqSZxxeYmAFTvYgsA9ZVlVJeQapIHM/tiVBP0L1h2H3e/CvUh8Jdddpkvvubzv8f6w7Lls58PWr6O55p9KrOzs9N7loOWx7LMj7e2nyv316A8fRrl6dPBfef3BWL7BfP7DOWZM2fznjq179/vfmN32fI6y6wus8ffL8tBy2M1nn0Ku9iH+uoPR3ku9nFwmNeg6XOtsvyw7R6PxyjLEpP6XAxMr8F+NEHvgHYWQ6pJnCbmIfWVONUlpJrwM7PPBvBSAE9094/2nadN7P2VPT/A3wb2fQb2+gP8bVD+NGmC3oHZdyTkLNUkzjI80UVT6itxqktINeFmZvcB8LsAvt7d/6nvPG1j76/s+QH+NrDvM7DXH+Bvg/KnSRP0DuTaeZpQTZYodFqIReorcapLSDVJm5n9FoATAO5pZjcD+AEAIwBw918C8EIA9wDwC/VrOXH3h/eTtn3s/ZU9P5BBG8j3GejrD/42KH+aNEHvQI7X52tKNYnzue9oSUV9JU51CakmaXP3Zx6w/JsAfFNHcXrH3l/Z8wP8bWDfZ2CvP8DfBuVPkyboHZidhCTX70kchWoSV4zHAPi/V7ZO6itxqktINREm7P2VPT9w9DakcnlT9n2Gc7kPpUL506QJegcOutbduUg1ifP6LJRylvpKnOoSUk2ECXt/Zc8P8LeBfZ+Bvf4AfxuUP02aoHcg187ThGoS55keqtOE+kqc6hJSTYQJe39lzw/wt4F9n4G9/gB/G5Q/TdxnlyAxGAx2r5MoFdUkrtjc3L2uqVTUV+JUl5BqIkzY+yt7foC/Dez7DOz1B/jboPxp0ifoHcjtexHroJrEsX6PrE3qK3GqS0g1ESbs/ZU9P8DfBvZ9Bvb6A/xtUP40aYLegVwvAdCEahJn5JdMaYP6SpzqElJNhAl7f2XPD/C3gX2fgb3+AH8blD9NmqB3INfO04RqEmdDDclF6itxqktINREm7P2VPT/A3wb2fQb2+gP8bVD+NHGPbBK5XqOvCdUkrtze7jtCctRX4lSXkGoiTNj7K3t+gL8N7PsM7PUH+Nug/GniPjaGRFEUu9fpk4pqEmejEWw06jtGUtRX4lSXkGoiTNj7K3t+gL8N7PsM7PUH+Nug/GnSJ+gdyPUSAE2oJktk+k5gE+orcapLSDURJuz9lT0/kEEbyPcZ6OsP/jYof5o0Qe9Arp2nCdUkzjM9G2UT6itxqktINREm7P2VPT/A3wb2fQb2+gP8bVD+NOV3TECCcr1GXxOqSRz7NU3boL4Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblT5M+Qe9Artfoa0I1iWO/pmkb1FfiVJeQaiJM2Psre36Avw3s+wzs9Qf426D8adIEXSQlmV4uQkRERNZM+wwiWdIh7h3I9fCLJlSTuGI8RjEe9x0jKeorcapLSDURJuz9lT0/wN8G9n0G9voD/G1Q/jTpE/QO5Hr4RROqSVy5tdV3hOSor8SpLiHVRJiw91f2/AB/G9j3GdjrD/C3QfnTpE/QO5DrNfqaUE3ibDiEDfW+2Tz1lTjVJaSaCBP2/sqeH+BvA/s+A3v9Af42KH+a8muRiIiIiIiICCHet92IlGXZd4TkqCZxPpn0HSE56itxqktINREm7P2VPT/A3wb2fQb2+gP8bVD+NOkT9A7kegKDJlSTuGJjA8XGRt8xkqK+Eqe6hFQTYcLeX9nzA/xtYN9nYK8/wN8G5U+TPkHvQK4nMGhCNYkrt7f7jpAc9ZU41SWkmggT9v7Knh/gbwP7PgN7/QH+Nih/mjRBF0mJe98JREREhIH2GUSypEPcO5Dr4RdNqCZx7IertUF9JU51CakmwoS9v7LnB/jbwL7PwF5/gL8Nyp8mfYLegVwPv2hCNYljv6ZpG9RX4lSXkGoiTNj7K3t+gL8N7PsM7PUH+Nug/GnSBL0DZtZ3hOSoJnGW4buATamvxKkuIdVEmLD3V/b8AH8b2PcZ2OsP8LdB+dOkCXoHcu08TagmS6guAfWVONUlpJoIE/b+yp4fyKAN5Pnp6w/+Nih/mlr9DrqZPcHM3m1mN5jZCyLL72Nmf2ZmbzGzt5vZk9rM05eyLLO9Tt9RqSZxPpnQX9d03dRX4lSXkGoiTNj7K3t+gL8N7PsM7PUH+Nug/GlqbYJuZgMALwbwRAAPAvBMM3vQwt2+H8Cr3f1hAJ4B4BfaytOnXE9g0IRqEleMxyjG475jJEV9JU51CakmwoS9v7LnB/jbwL7PwF5/gL8Nyp+mNg9xfySAG9z9RgAws1cCeCqA6+fu4wDuWv98AYD3t5inNzm+s9OUahJXEr8T3hb1lTjVJaSaCBP2/sqeH+BvA/s+A3v9Af42KH+a2pygXwzgprnfbwbwqIX7XAngDWb27QDOA/C4VR7YzDAYDGBmMDOUZYmiKODucHcMBgNMp9MDlwPY/bkoqoMJyrKMLp9/rMFggLIsV36umdFotPYsR2m3maEoit3n6iPLaDTCdDrdfeer7degabuP/eVfAu4oNjdRnjlTnZilKOA7OyjG4+ows7I8u7woYMMhyu1t2GgElCV8OsXpL/qi6vGPHUMxHqPc2oINq2HokwmG55+PcnsbKEsUGxvV8sEAMINPJtXfTCZAWWI8Hlc1PO+8s1lGI3j9XLMsKAoUkSy7y81QjMcYDAYoigKD88+vnmtjo8qyT7tnWeaXW1Gg3NnBaDRay2sw+xuvr/e6rnHQ1fhva8zNHhNA0u1uI8uy5xoOhyjLcm19b93rPZF57H2CPT+QQRvIJyf09Qd/G5Q/TX1fB/2ZAF7u7vcG8CQArzCzaCYzu8LMrjOz62699dZOQzZVFEWWh180URTF7k6wnGXk1zRtg8ZPnOoS0npFmLAfmsmeH+BvQ7G5iWJzs+8YR8Zef4C/DcqfpjY/Qb8FwCVzv9+7vm3ecwA8AQDc/W/MbBPAPQF8aPHB3P0qAFcBwGWXXeaL172b/z12Tbxly2c/H7S8yXPNOs6qz9VmllWXt53lzJkzu7cxtHvj9GkAqD5xXjB/W2w55m7b3t6u7nf6NMr6MeftfPjDu49z0HPNHmt6xx0HZtl9j33Z8tOnd1+L6e23r9Sug5bv7Ozs/tzkNSjLEjs7O9HX5qDHOuxzNXmsrrM0qQtzu/dbPnsnPYUs+90mAvD3Dfb8AH8bovscRNjrD/C3QfnT1OZHDdcCuNTM7m9mY1Qngbt64T7/CuCxAGBmnwVgE8CHW8zUi9nhjnKWahJngwH9dU3XTX0lTnUJqSbChL2/sucH+NvAvs/AXn+Avw3Kn6bWPkF394mZPRfA6wEMALzM3d9pZi8CcJ27Xw3gvwJ4iZn9F1QnjHuWZ/hlghw7TlOqyRI6PDegvhKnuoRUE2HC3l/Z8wMZtIF8n4G+/uBvg/Knqc1D3OHu1wC4ZuG2F879fD2Az28zQwpyPcNgE6pJnM8dFi4V9ZU41SWkmggT9v7Knh/gbwP7PgN7/QH+Nih/mrjfeiOhExeFVJO4YjRCMRr1HSMp6itxqktINREm7P2VPT/A3wb2fQb2+gP8bVD+NLX6CbpUMjxqvzHVJM4zfSewCfWVONUlpJoIE/b+yp4f4G8D+z4De/0B/jYof5o0Qe9Arp2nCdUkzjM9G2UT6itxqktINREm7P2VPT/A3wb2fQb2+gP8bVD+NOV3TECCcr1GXxOqSRz7NU3boL4Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblT5M+Qe9Artfoa0I1iWO/pmkb1FfiVJeQaiJM2Psre36Avw3s+wzs9Qf426D8adIEvQO5XgKgCdVkiQxPdNGU+kqc6hJSTYQJe39lzw9k0AbyfQb6+oO/DcqfJk3QO5Br52lCNYkrhtWQ5D7ty3qpr8SpLiHVRJiw91f2/AB/G9j3GdjrD/C3QfnTpAl6B3K9Rl8Tqklcub3dd4TkqK/EqS4h1USYsPdX9vwAfxvY9xnY6w/wt0H508R9bAyJXK/R14RqEmejEYz4mqZtUF+JU11CqokwYe+v7PkB/jaw7zOw1x/gb4Pyp0mfoHcg10sANKGaLJHpO4FNqK/EqS4h1USYsPdX9vxABm0g32egrz/426D8adIEvQO5dp4mVJM49muatkF9JU51CakmwoS9v7LnB/jbwL7PwF5/gL8Nyp+m/I4JSFCu1+hrQjWJY7+maRvUV+JUl5BqIkzY+yt7foC/Dez7DOz1B/jboPxp0ifoHcj1Gn1NqCZx7Nc0bYP6SpzqElJNhAl7f2XPD/C3gX2fgb3+AH8blD9NmqCLpCTTy0WIiIjImmmfQSRLOsS9A7keftGEahJXjMcoxuO+YyRFfSVOdQmpJsKEvb+y5wf428C+z8Bef4C/DcqfJn2C3oFcD79oQjWJK7e2+o6QHPWVONUlpJoIE/b+yp4f4G8D+z4De/0B/jYof5r0CXoHcr1GXxOqSZwNh7Ch3jebp74Sp7qEVBNhwt5f2fMD/G1g32dgrz/A3wblT1N+LRIREREREREhxPu2G5GyLPuOkBzVJM4nk74jJEd9JU51CakmwoS9v7LnB/jbwL7PwF5/gL8Nyp8mfYLegVxPYNCEahJXbGyg2NjoO0ZS1FfiVJeQaiJM2Psre36Avw3s+wzs9Qf426D8adIn6B3I9QQGTagmceX2dt8RkqO+Eqe6hFQTYcLeX9nzA/xtYN9nYK8/wN8G5U+TJugiKXHvO4GIiIgw0D6DSJZ0iHsHcj38ognVJK7Y3ESxudl3jKSor8SpLiHVRJiw91f2/AB/G9j3GdjrD/C3QfnTpE/QO5Dr4RdNqCZx5ZkzfUdIjvpKnOoSUk2ECXt/Zc8P8LeBfZ+Bvf4AfxuUP02aoHfAzPqOkBzVJM4yfBewKfWVONUlpJoIE/b+yp4f4G8D+z4De/0B/jYof5o0Qe9Arp2nCdVkiULfOlmkvhKnuoRUE2HC3l/Z8wMZtIF8n4G+/uBvg/KnSRP0DuR6jb4mVJM439npO0Jy1FfiVJeQaiJM2Psre36Avw3s+wzs9Qf426D8aeJ+641EURQoyN/lXDfVJK4Yj1GMx33HSIr6SpzqElJNhAl7f2XPD/C3gX2fgb3+AH8blD9N+bUoQe4O16Uw9lBN4srJBOVk0neMpKivxKkuIdUkbWb2MjP7kJm9Y8lyM7OfNbMbzOztZnZ51xm7xN5f2fMD/G1g32dgrz/A3wblT5Mm6B3ItfM0oZosUZbVP9mlvhKnuoRUk+S9HMAT9ln+RACX1v+uAPCLHWTqDXt/Zc8PZNAG8n0G+vqDvw3KnyZ9B70Ds+vz5XopgKNQTeJm1zNlv3TKOqmvxKkuIdUkbe7+F2Z2v33u8lQAv+bV3tbfmtmFZvap7v6B/R7XzDAYDGBmMDOUZYmiKHZ33AaDAabT6YHLAez+PDtksizL6PL5xxoMBijL8lDPZWbY2NjYfa51ZTlKu80MRVEcOsvm5ibKssT29vbasrC8BsWxY4A7is1NlGfOVGdTLwr4zg6K8Rg+mcDL8uzyooANhyi3t2GjEVCW8OkU4/G4evxjx1CMxyi3tmDDatfcJxMUGxsot7er59rYqJYPBoAZfDLB6J73hE8mmNx2G4rNzd1xMDh+vMoyGsHr55plQVGgiGTZXW62m2U0GgGor7c+n2VJu8vJBJhv92AAKwqUOzsYjUZBjcfjMYqiwJkzZ3ofB0d9rqOOg6OMuTbavfgatD3m1v0azK6DvrW11cl6b52vwX40Qe+AdhZDqkmcJuYh9ZU41SWkmtC7GMBNc7/fXN8WTNDN7ApUn7Ljoosu6iTcuk2nU+oTHLHnB/jbUG5twYkPcZ9Op/SffrL3IfbXgLn2+9EEvQO5XgKgCdUkjv2apm1QX4lTXUKqybnD3a8CcBUAXHbZZb745sz877E3bpYtn/180PJ1PNfMZG6C1XeWw9RlNt6m02nrz5Xaa7Bx+jSA+Jvq87dF33Sfu217e7u63+nTKOvHPMxjzfYZyjNnUJ45czbvqVP7/v3ulGbZ8jrLTn2W+Nnj75floOU7c2ecn+Wcfaq42If66g9HeS72cXCY16Dpc62y/LDtHg6HKMtydwwzvQb70QS9A9ppDKkmcZbhmSibUl+JU11Cqgm9WwBcMvf7vevbssTeX9nzA/xtYN9nYK8/wN8G5U+TJugdyPXwiyZUk7iS/JqmMcdPnmz097Pv5X/80Y9eQ5p8aAyFVBN6VwN4rpm9EsCjAHz8oO+fM2Pvr+z5Af42sO8zsNcf4G+D8qdJE/QOzE4uoO9HnqWaxFl9Qhbou+i7dmsie2gMhVSTtJnZbwE4AeCeZnYzgB8AMAIAd/8lANcAeBKAGwDcCeDZ/STtBnt/Zc8P8LeBfZ+Bvf4AfxuUP02aoHeA+eQLbVFNlsj0ncBGVJMojaGQapI2d3/mAcsdwLd1FKd37P2VPT+QQRvIt4/09Qd/G5Q/TZqgdyDXztOEahLnmb0DuA6qSZzGUEg1ESbs/ZU9P8DfBvbtI3v9Af42KH+aNEHvgK7NG1JN4nQd9NCsJrKXxlBINREm7P2VPT/A3wb2fQb2+gP8bVD+NGmC3oHcOs06qCZxrBvZNqkmcRpDIdVEmLD3V/b8AH8b2LeP7PUH+Nug/GnSBL0DuV4CoAnVZAnyS6a0QjWJ0hgKqSbChL2/sucHMmgD+faRvv7gb4Pyp0kT9A4U5CvQNqgmccWwGpLcp31Zr1lNZC+NoZBqIkzY+yt7foC/Dez7DOz1B/jboPxp0p5vB3I9/KIJ1SSu3N7uO0JyVJM4jaGQaiJM2Psre36Avw3s20f2+gP8bVD+NOX5tkNiiqLI9h2eo1JN4mw4hOkT4z1UkziNoZBqIkzY+yt7foC/DezbR/b6A/xtUP408Y5qIrleAqAJ1WQJ1SWkmkRpDIVUE2HC3l/Z8wMZtIE8P339wd8G5U+TJugdyLXzNKGaxLFf07QNqkmcxlBINREm7P2VPT/A3wb27SN7/QH+Nih/mjRB70Cu1+hrQjWJKzY2APBfOmWdZjWRvTSGQqqJMGHvr+z5Af42sO8zsNcf4G+D8qdJE/QO5NZp1kE1iSu3tvqOkBzVJE5jKKSaCBP2/sqW//jJk8FtxeYmAGDjEBPcUydOrClRc+zbR7Y+FMPeBuVPkyboIinJ9HqOjagmIiLSBvbtC3t+EYnK77R3CRoMBruHYEhFNYkrxmMU43HfMZKimsRpDIVUE2HC3l/Z8wP82xf2/Dn0IfY2KH+a9Al6B3I9/KIJ1SSO/XC1NqgmcRpDIdVEmLD3V/b8AP/2hT1/Dn2IvQ3KnyZN0Dswuz5frp3oKFSTOObrmbZFNYnTGAqpJsKEvb+y5wf4ty/s+XPoQ+xtUP406RB3ERERERERkQRwv/VGoizLviMkRzWJ88mk7wjJUU3iNIZCqokwYe+v7PkB/u0Le/4c+hB7G5Q/TZqgdyDXa/Q1oZrEsV/TtA26DnqcxlBINREm7P2VPT/Av81lz59DH2Jvg/KnSRP0DuTWadZBNYkrt7f7jpAc1SROYyikmggT9v7Knh/g376w58+hD7G3QfnTpAm6SErc+06QHtVERETawL59Yc8vIlGaoHcg18MvmlBN4orNTQC8h6u1YVYT2UtjKKSaCBP2/sqeH+Df5rLnz6EPsbdB+dOkCXoHcus066CaxLFuZNukmsRpDIVUE2HC3l/Z8wP82xf2/Dn0IfY2KH+aNEHvgJn1HSE5qkmc1e8EylmqSZzGUEg1ESbs/ZU9P8C/faHPn0MfIm+D8qdJE/QO5Np5mlBNliiKvhOkRzWJ0hgKqSbChL2/sucHwL99Ic+fQx9ib4Pyp0kT9A7keo2+JlSTON/Z6TtCclSTOI2hkGoiTNj7K3t+gH/7wp4/hz7E3gblTxP3W28kiqJAQf4u57qpJnHFeIxiPO47RlJUkziNoZBqIkzY+yt7foB/+0KfP4c+RN4G5U+TPkHvgOsyGAHVJM4nk74jJEc1idMYCqkmwoS9v7LnB/i3L/T5c+hD5G1Q/jRpgt6BXDtPE6pJnGd6qE4TqkmcxlBINREm7P2VPT/Av31hzH/85Mndn5tcJu7UiRNrStQM+zhQ/jRpgt6BXK/R10TbNZnfADTR9QaA/ZqmbdB10OO0XgmpJsKEvb+y5wf4t7nK3z/2caD8adIEvQO5dZp1UE3imDdSbVFN4jSGQqqJMGHvr+z5Af7ti/L3j30cKH+aNEHvQK6XAGhCNYmzDE900ZRqEqcxFFJNhAl7f2XPD/BvX5S/f+zjQPnTpAl6B3LtPE2oJnE21JBcpJrEaQyFVBNhwt5f2fMD/NsX5e8f+zhQ/jTxjwwCuV6jrwnVJK7c3u47QnJUkziNoZBqIkzY+yt7foB/+6L8/WMfB8qfJv5jSwjkeo2+JlSTOBuNYKNR3zGSoprEaQyFVBNhwt5f2fMD/NsX5e8f+zhQ/jTpE/QO5HoJgCZUkyUyfSewEdUkSmMopJoIE/b+yp4fAP/2Rfl7xz4OlD9NmqB3INfO04RqEueZno2yCdUkTmMopJoIE/b+yp4f4N++KH//2MeB8qdJE/QO5HqNviZUk7gcrgm6broOepzGUEg1ESbs/ZU9P8C/zVX+/rGPA+VPkyboHcit06yDahLHvJFqi2oSpzEUUk2ECXt/Zc8P8G9flL9/7ONA+dOkCbpISjK9XEQjqomIiLSBffui/CJZyu+0dwkaDAa7h2BIRTWJK8ZjFONx3zGSoprEaQyFVBNhwt5f2fMD/NsX5e8f+zhQ/jTpE/QO5Hr4RROqSVy5tdV3hOSoJnEaQyHVRJiw91f2/AD/9kX5+8c+DpQ/TZqgd2B2fb5cO9FRqCZxNtSQXKSaxGkMhVQTYcLeX9nzA/zbF+XvH/s4UP406RB3ERERERERkQTwv3VFoCzLviMkRzWJ88mk7wjJUU3iNIZCqokwYe+v7PkB/u2L8vePfRwof5o0Qe9Artfoa0I1iSs2NgDkcemRdZnVRPbSGAqpJsKEvb+y5wf4t7nK3z/2caD8adIEvQO5dZp1UE3iyu3tviMkRzWJ0xgKqSbChL2/sucH+Lcvyt8/9nGg/GnSBF0kJe59J0iPaiIiIm1g374ov0iWNEHvQK6HXzShmsQVm5sAuA/3WrdZTWQvjaGQaiJM2Psre36Af5ur/P1jHwfKnyZN0DuQW6dZB9Ukjnkj1RbVJE5jKKSaCBP2/sqeH+Dfvih//9jHgfKnSRP0DphZ3xGSo5rEWf1OoJylmsRpDIVUE2HC3l/Z8wP82xfl7x/7OFD+NGmC3oFcO08TqskSRdF3gvSoJlEaQyHVRJiw91f2/AD4ty/K3zv2caD8adIEvQO5XqOvCdUkznd2+o6QHNUkTmMopJoIE/b+yp4f4N++KH//2MeB8qdp3wm6mX2Ju7/RzL4yttzdf7edWHnJ9QQGTagmccV4DCCP72Wty6wmspfGUEg1aZf2CdaLvb+y5wf4t7nK3z/2caD8aTroE/THAHgjgCdHljmAfTfGZvYEAD8DYADgpe7+o5H7fA2AK+vHe5u7f+3Bsbnk+u5OE6pJXDmZ9B0hOapJnMZQSDVpXaN9AtmLvb+y5wf4ty/K3z/2caD8adp3gu7uP2BmBYDXufurD/PAZjYA8GIAjwdwM4Brzexqd79+7j6XAvheAJ/v7rea2ScdugUEXNd5DKgmS2S6omlENYnSGAqpJu1qsk8gIfb+yp4fAP/2Rfl7xz4OlD9NB56dwd1LAN9zhMd+JIAb3P1Gd98G8EoAT124zzcDeLG731o/14eO8DzJGwwGu4dgSEU1iSs2N3Xd7wWqSZzGUEg1aV+DfQJZwN5f2fMD/NsX5e8f+zhQ/jStepK4PzGz5wN4FYA7Zje6+8f2+ZuLAdw09/vNAB61cJ9PBwAz+ytUh8Ff6e5/dFAYM8NgMICZwcxQliWKooC7w90xGAwwnU4PXA5g9+eiPpNkWZbR5fOPNRgMUJblys81MxqN1p7lKO02MxRFsftcfWaZDax1vwbD48fhZQmfTlFsblbfbyoKFMMhyu1t2GgELC43QzEeo9zagg2Hu889GAxQHDsGuO/e1wYDoCjgOzsoxmP4ZAIvy7PLiwIWea7xeFy19dix4Ll8Mqlu296uNlobG9XywQAwO7t8MgHKcvexBueddzbLaHTkdg8GAxRFgcH551fPtbGBcnt733bPsswvt6JAubOD0WgEr/82mmU4BNyrLHVbY68B3FFsbOyOpXX1va7Gf1tjDgCKosBwOEy63W1k2a/GZVnu9r3U1nsZOco+gSxg/84ke36A+7vPgPKngH0cKH+aVp2gP73+/9vmbnMAD1jD818K4ASAewP4CzN7iLvftnhHM7sCwBUAcNFFFzV82m7NdqYz20FrLNdLIzRhg0EW1wVdp9mbArLX/ERdKrOaaF3burb2Cc4p7OOXPT/Afx1u5e8f+zhQ/jStNEF39/sf4bFvAXDJ3O/3rm+bdzOAN7n7DoD3mtk/oZqwXxvJcBWAqwDgsssu88V3TOZ/j72bsmz57OeDljd5rtFoBADYqS8n0WeWVZe3nWVSnxhkOp228lyTU6d2f55/h3b3207zt83/fPp08DzT6RQb9e2xd3vLJY+1a+627e3t3edZfC4AmN5+++7jHPRcs8ea3nFHdPlh2z1r63yG/dp10PJZf19sS+wbZ/u9Bnb8OHxnJ9pPZlLt521mmR2RMz+W2nquNpevM8tsQ70zd+melOqSiyPuE8gC9h1L9vwAYORv/ip//9jHgfKnaaUJupmNAHwrgC+qbzoJ4JfrifUy1wK41Mzuj2pi/gwAi2do/30AzwTwK2Z2T1SHvN+4angWuZ5hsAnVJK7M4Jqg66aaxGkMhVSTbhxxn0AWsPdX9vwA//ZF+fvHPg6UP02rvnX1iwA+F8Av1P8+t75tKXefAHgugNcDeBeAV7v7O83sRWb2lPpurwfwUTO7HsCfAfhud//o4ZuRtqIodr/TKBXVJK4YjVDUR1xIRTWJ0xgKqSadOfQ+gYTY+yt7foB/+6L8/WMfB8qfplW/g/4Id3/o3O9vNLO3HfRH7n4NgGsWbnvh3M8O4Lvqf9nS9yFDqkmcZ/pOYBOqSZzGUEg16cyR9glkL/b+yp4f4N++KH//2MeB8qdp1bccpmb2wNkvZvYAAPl9sa4lGZ7BtzHVJM6nU3iG31ltQjWJ0xgKqSad0T7BGrD3V/b8AP/2Rfn7xz4OlD9Nq36C/t0A/szMbgRgAO4L4NmtpcrM7PJQOZ4s6KhUk7jZ9UBzuPTIurBfI7UtGkMh1aQzR94nMLMnAPgZVJdWfam7/+jC8vsA+FUAF9b3eUF9NF522Psre36Af5ur/P1jHwfKn6ZVz+L+p2Z2KYDPqG96t7tvtRcrL7l1mnVQTeKYN1JtUU3iNIZCqkk3jrpPYGYDAC8G8HhUV3G51syudvfr5+72/ajOWfOLZvYgVF+Tu99aG5AI9v7Knh/g374of//Yx4Hyp2nfCbqZfYm7v9HMvnJh0afV15r93RazZSPXSwA0oZoskeGJLhpTTaI0hkKqSbvWsE/wSAA3uPuN9eO9EsBTAcxP0B3AXeufLwDw/hVyYTAYwMxgZijLEkVR7B76OBgMMJ1OD1wOYPfn2UmHyrKMLp9/rMFggLIsD/VcZrZ7qcR1ZjlKu80MRVHsPteqWcbj8e4ZlNeVpc3XYHDeefDpFMXmZjUxLAoMjh+Hb2/DRiOgLPcuN0MxHqPc2oINq91ln0wwHo9RHDsGuO/e1wYDoCjgOzsoxmP4ZAIvy7PLiwI2HKJceK7xeFy19dix6HMVGxsot7er59rYqJYPBoAZfDLB4IIL4PWlNovNzd1xMKgvT1qMRvDFdhUFikiWWLtnlwkuNjf3ZlnS7nIyAebbPRjAigLlzg5GoxG8/tvZ8uK883bba8Mh4F5lqdu67DUoNjZ2Pzntu+8ddRwcZcy1Mf6HwyGKosD29nYn6711vwazk8Tt7Ox0st5b52uwn4M+QX8MgDcCeHJkmQPQBH0FOZ5dsCnVJK6oN0D8p01Zn1lNZC+NoZBq0rqm+wQXA7hp7vebATxq4T5XAniDmX07gPMAPC72QGZ2BYArAOCiiy46KHeSZjtqrHIYb8VgAB8OMa0nuWyKwQDuTrvPUAwGsMGA+gQW7OOA/Szos4l2bvbd83X3HzCzAsDr3P3VHWXKTq6HXzShmsSV29t9R0iOahKnMRRSTdrV0T7BMwG83N1/wsz+HYBXmNmD3X3PHMTdrwJwFQBcdtllvvjaz/8e6xfLls9+Pmj5Op5rNjlPIctBy2NZztSHJ0+n09afax3tmt5xB4C9h1Xv1J98zt+25+fTp4PH2t7exkZ9e+wQ7WWPtWvutu16+1aePh19roMea+djH9tdVp45c7Z2p07t365Illi7d+rrlM8ef78sB2aNPNZkyf0Peg32tLXnvsc2DhZ/nvXBxfwprWv2e6yyLLGzs5NMfzjM8v0c+JZDvVH8npUeTaLY351qg2oSZ6NRdciZ7FJN4jSGQqpJ+xruE9wC4JK53+9d3zbvOQBeXT/X3wDYBHDPIz5f0tj7K3t+gH/7ovz9Yx8Hyp+mVVv0J2b2fDO7xMzuPvvXarKM5HoJgCZUkyXKsvonZ6kmURpDIdWkM0fdJ7gWwKVmdn8zGwN4BoCrF+7zrwAeCwBm9lmoJugfXmf4VLD3V/b8APi3L8rfO/ZxoPxpWvXLnU+v//+2udscwAPWGydPOXacplSTOPbrgbZBNYnTGAqpJp050j6Bu0/M7LkAXo/qEmovc/d3mtmLAFzn7lcD+K8AXmJm/6V+zGd5pi8se7PY8wP82xfl7x/7OFD+NK16mbX7tx0kZ7leo68J1SQuh2uCrpuugx6nMRRSTbrRZJ+gvqb5NQu3vXDu5+sBfP7R0/Fg76/s+QH+ba7y9499HCh/mlaaoJvZXQB8F4D7uPsVs+ufuvsftpouE7l1mnVQTeKYN1JtUU3iNIZCqkk3tE+wHuz9lT0/wL99Uf7+sY8D5U/Tqt9B/xUA2wA+r/79FgA/1EoikXOZWfVPzlJNRFKjfQLJA/v2RflFsrTqBP2B7v7jAHYAwN3vBKARtaLBYLB7CIZUVJO4YjxGMR73HSMpqkmcxlBINemM9gnWgL2/sucH+Lcvyt8/9nGg/Gla9SRx22Z2DNUJW2BmDwSw1VqqzOR6+EUTqklcuaVhtUg1idMYCqkmndE+wRqw91f2/AD/9kX5+8c+DpQ/TatO0K8E8EcALjGz30B1ApdntxUqN7Pr8+XaiY5CNYmz4apD8tyhmsRpDIVUk85cCe0TNMbeX9nzA/zbF+XvH/s4UP40rXoW9zeY2d8DeDSqw9i+090/0moyERERSY72CURERNqz6lnc/9TdHwvgtZHb5ABlWfYdITmqSZxPJn1HSI5qEqcxFFJNuqF9gvVg76/s+QH+7Yvy9499HCh/mvadoJvZJoC7ALinmd0NZ08Cc1cAF7ecLRu5XqOvCdUkrtjYAJDHpUfWZVYT2UtjKKSatEv7BOvF3l/Z8wP821zl7x/7OFD+NB30Cfp/AvA8ABcB+Huc3Rh/AsDPtxcrL7l1mnVQTeLK7e2+IyRHNYnTGAqpJq3TPsEasfdX9vwA//ZF+fvHPg6UP037TtDd/WcA/IyZfbu7/1xHmUTOXe59J0iPaiKSBO0TSHbYty/KL5KlVU+f+G9mdtzdT5nZ9wO4HMAPufubW8yWjVwPv2hCNYkrNjcBcB/utW6zmsheGkMh1aQz2idYA/b+2nb+4ydPruVxTp04sXQZ+zZX+funcdwv9vzLFCve7/+rN8RfAOBxAP4PgF9sL1ZeptNpdh2nKdUkrjxzhnpD1QbVJE5jKKSadEb7BGvA3l/Z8wP82xfl7x/7OFD+NK06QZ+1/MsBXOXurwUwbidSfswMZnbwHc8hqkmcDQaw+t1AqagmcRpDIdWkM9onWAP2/sqeH+Dfvih//9jHgfKnadUJ+i1m9ssAng7gGjPbOMTfnvNy7TxNqCZLFEX1T85STaI0hkKqSWe0T7AG7P2VPT8A/u2L8veOfRwof5pWHRVfA+D1AL7M3W8DcHcA391WqNyUZZntdfqOSjWJ850d+M5O3zGSoprEaQyFVJPOaJ9gDdj7K3t+gH/7ovz9Yx8Hyp+mlSbo7n4ngH8G8GVm9lwAn+Tub2g1WUaKokBB/g7huqkmccV4jGKsI0XnqSZxGkMh1aQb2idYD/b+yp4f4N++KH//2MeB8qdppRaZ2XcC+A0An1T/+3Uz+/Y2g+XE3eG6lMQeqkmcTybwyaTvGElRTeI0hkKqSTe0T7Ae7P2VPT/Av31R/v6xjwPlT9Oql1l7DoBHufsdAGBmPwbgbwDoOqgryLHjNKWaxHmGh+k0tViTdVx6Z7/L7rDQGAqpJp3RPsEasPdX9vwA/zZX+fvHPg6UP02rTtANZ8/aivrn/L6R35Jcr9HXhGoSl8M1QddN10GP0xgKqSad0T7BGrD3V/b8AP82V/n7xz4OlD9Nq07QfwXAm8zs9+rfn4bquqeygtw6zTqoJnHMG6m2qCZxGkMh1aQz2idYA/b+yp4f4N++KH//2MeB8qdppQm6u/+kmZ0E8AX1Tc9297e0liozOZ7+vynVJM4yPNFFU6pJnMZQSDXphvYJ1oO9v7LnB/i3L8rfP/ZxoPxp2neCbmaPAnAVgAcC+AcAz3H367sIlpNcO08TqkmcDVc9qOXcoZrEaQyFVJN2aZ9gvdj7K3t+gH/7ovz9Yx8Hyp+mg966ejGA5wO4B4CfBPBTrSfKUK7X6GtCNYkrt7dRbm/3HSMpqkmcxlBINWmd9gnWiL2/sucH+Lcvyt8/9nGg/Gk6aIJeuPsfu/uWu78GwL26CJWbXK/R14RqEmejEWw06jtGUlSTOI2hkGrSOu0TrBF7f2XPD/BvX5S/f+zjQPnTdNCxJRea2Vcu+93df7edWHnJ9RIATagmS2T4LmBjqkmUxlBINWmd9gnWiL2/sucHwL99Uf7esY8D5U/TQRP0Pwfw5CW/OwBtjFeQa+dpQjWJ80zPRtmEahKnMRRSTVqnfYI1Yu+v7PkB/u2L8vePfRwof5r2naC7+7O7CpKzXK/R14RqEpfDNUHXTddBj9MYCqkm7dI+wXqx91f2/AD/Nlf5+8c+DpQ/TfynTySQW6dZB9Ukjnkj1RbVJE5jKKSaCBP2/sqeH+Dfvih//9jHgfKnSRN0kZRkermIRlQTERFpA/v2RflFspTfae8SNBgMdg/BkIpqEleMxyjG475jJEU1idMYCqkmwoS9v7LnB/i3L8rfP/ZxoPxpWvkTdDN7MIAHAdj9Qqi7/1oboXKT6+EXTagmceXWVt8RkqOaxGkMhVST7mifoDn2/sqeH+Dfvih//9jHgfKnaaUJupn9AIATqDbG1wB4IoD/B0Ab4xXMrs+Xayc6CtUkzob61ski1SROYyikmnRD+wTrwd5f2fMD/NsX5e8f+zhQ/jTte4i7mX2KmT0WwFcDeCyAf6vP4vpQABd0kE9EREQSoH0CERGR9i2doJvZ4wC8BMC7AJx29xLAxMzuCuBDAC7pJiK/sixRlmXfMZKimsT5ZAKfTPqOkRTVJE5jKKSatEf7BOvH3l/Z8wP82xfl7x/7OFD+NO13bMlHAHyFu0/M7DozuxDVxvnvAdwO4G86yJeFXK/R14RqEldsbADI49Ij6zKrieylMRRSTVqlfYI1Y++v7PkB/m2u8vePfRwof5qWTtDd/a1zP//n+sdfMrM/AnBXd397y9mykVunWQfVJK7c3u47QnJUkziNoZBq0h7tE6wfe39lzw/wb1+Uv3/s40D503ToszO4+/tayCEiAODed4L0qCYiydI+gVBj374ov0iW+E+fSCDXwy+aUE3icjjca910iHucxlBINREm7P2VPT/Av81V/v6xjwPlT5Mm6B3IrdOsg2oSl8M1QddNNYnTGAqpJsKEvb+y5wf4ty/K3z/2caD8adr3MmszZvZAM9uofz5hZt9RnyBGVmBmMLO+YyRFNYmzwQBWvxsoFdUkTmMopJp0Q/sE68HeX9nzA/zbF+XvH/s4UP40rTRBB/A7AKZm9mkArkJ1OZXfbC1VZnLtPE2oJkuYVf/kLNUkSmMopJp0RvsEa8DeX9nzA+Dfvih/79jHgfKnadVD3Mv60ipfAeDn3P3nzOwtbQbLSY7X52tKNYljvx5oG1STOI2hkGrSGe0TrAF7f2XPD/BvX5S/f+zjQPnTtOon6Dtm9kwA3wjgD+vbRu1Eys9gMNg9iYFUVJO4YjxGMR73HSMpqkmcxlBINemM9gnWgL2/sucH+Lcvyt8/9nGg/Gla9RP0ZwP4FgA/7O7vNbP7A3hFe7Hykuu7O02oJnFlBu8mr5tqEqcxFFJNOqN9gjVg76/s+QH+7Yvy9499HCh/mlaaoLv79QC+Y+739wL4sbZC5cZ1nceAarJEpiuaRlSTKI2hkGrSDe0TrAd7f2XPD4B/+6L8vWMfB8qfppUm6GZ2KYAfAfAgAJuz2939AS3lykqu1+hrQjWJKzar4cV8TdB1m9VE9tIYCqkm3dA+wXqw91f2/AD/Nlf5+8c+DpQ/Tase4v4rAH4AwE8B+GJUh7et+v31c15unWYdVJM45o1UW1STOI2hkGrSGe0TrAF7f2XPD/BvX5S/f+zjQPnTtOoG9Zi7/ykAc/d/cfcrAXx5e7HykuslAJpQTeJyuCbouqkmcRpDIdWkM9onWAP2/sqeH+Dfvih//9jHgfKnadVP0LfMrADwHjN7LoBbAJzfXqy85NhxmlJNlij0IVRANYnSGAqpJp3RPsEasPdX9vwA+Lcvyt879nGg/GladYL+nQDuguqkMD8I4EtQXV5FVpDrGQabUE3ifGen7wjJUU3iNIZCqklntE+wBuz9lT0/wL99Uf7+sY8D5U/Tqmdxv7b+8XZU3zWTQyjqdwhz/Z7EUagmccWoupRwDt/LWpdZTWQvjaGQatIN7ROsB3t/Zc8P8G9zlb9/7ONA+dO07wTdzH7a3Z9nZn8AIDiPvbs/pbVkGcn1EgBNqCZxnuk7gU2oJnEaQyHVpF3aJ1gv9v7Knh/g374of//Yx4Hyp+mgT9BfUf//v9sOkrNcO08TqkmcZ/YO4DqoJnEaQyHVpHXaJ1gj9v7Knh/g374of//Yx4Hyp2nfCbq7/33943UATrt7CQBmNgCw0XK2bOR6jb4mVJO4HK4Jum66DnqcxlBINWmX9gnWi72/sucH+Le5yt8/9nGg/Gla9fSJf4rqhDAzxwD8yfrj5Gk6nWbXcZpSTeLKM2eoN1RtUE3iNIZCqklntE+wBuz9lT0/wL99Uf7+sY8D5U/Tqmdx33T322e/uPvtZnaX/f5Azsr1EgBNqCZLZHDJkbVTTaI0hkKqSWe0T7AG7P2VPT8A/u2L8veOfRwof5pWHRl3mNnls1/M7HMBnG4nUn7MLNsOdFSqSVwxHKIYrvq+2blBNYnTGAqpJp3RPsEasPdX9vwA//ZF+fvHPg6UP02rjornAXiNmb0fgAH4FABPbytUbnK9Rl8Tqklcub3dd4TkqCZxGkMh1aQzz4P2CRpj76/s+QH+7Yvy9499HCh/mla+DrqZfSaAz6hvere777QXKy+5XqOvCdUkzmbX/Cb/TtY6ma6DHqUxFFJNuqF9gvVg76/s+QH+ba7y9499HCh/mg5zXMkjANyv/pvLzQzu/mutpMpMrpcAaEI1WSLTdwIbUU2iNIZCqkmntE/QEHt/Zc8PgH/7ovy9Yx8Hyp+mlSboZvYKAA8E8FYAs7coHIA2xivItfM0oZrE5XBN0HVTTeI0hkKqSTe0T7Ae7P2VPT/Av31R/v6xjwPlT9Oqn6A/HMCDPNcqtCzXa/Q1oZrE5XBN0HXTddDjNIZCqklntE+wBuz9lT0/wL/NVf7+sY8D5U/TqhP0d6A6CcwHWsySrdw6zTqoJnHMG6m2qCZxGkMh1aQz2idYA/b+yp4f4N++KH//2MeB8qdp1Qn6PQFcb2Z/B2BrdqO7P6WVVCLnqgwvFdGYaiKSmiPvE5jZEwD8DIABgJe6+49G7vM1AK5Eddj829z9a9eUW2Qv9u2L8uP4yZPNcwA4deLEWh5HZB1WnaBf2WaI3OV6+EUTqklcMR4DAMrTuqTwzKwmspfGUEg16cyVR/kjMxsAeDGAxwO4GcC1Zna1u18/d59LAXwvgM9391vN7JPWkDdJ7P2VPT/Av81V/v6xjwPlT9Oql1n7czO7L4BL3f1PzOwuqN79lhXk1mnWQTWJK7e2Dr7TOUY1idMYCqkm3WiwT/BIADe4+40AYGavBPBUANfP3eebAbzY3W+tn+tD602fDvb+yp4f4N++KH//2MeB8qdp3wm6mX2Su3/IzL4ZwBUA7o7qzK0XA/glAI9tPyK/XK/R14RqEmfDw1z58NygmsRpDIVUk3atYZ/gYgA3zf1+M4BHLdzn0+vn+itUk/4r3f2PDsiFwWAAM4OZoSxLFEUBd4e7YzAYYDqdHrgcwO7Ps75UlmV0+fxjDQYDlGV5qOcyM4zH47VnOUq7zQxFUew+16pZNjY2UNaXyVpXlvnHGpx/PgDAJxMUGxsot7cBdxSbmyjPnIENBkBRwHd2UIzHKCcToCz3LLeiwGAwQFEUGJx3Hnw63V2OosDwggvg29vV9bjLcu9ys+pxt7Z2t0M+mWA8HqM4dmzfLD6ZwOezFAVsOES58Fzj8biq67Fj0efa0+6NjWr5YACYwScTDO92N/hkAqA64dpsHAyOH6+yjEbwxXYVBYpIlli7R/V1yovNzUavQbmzg9FoBK//drZ8cPw4bDjE5NZbq3a7V1nqti57DYqNjd1PTocXXtjoNdjNMhgcacwddRwcZcy1Mf5HoxGKosDW1lYn6711r4Nn43t7e7uT9d46X4P9FMsWmNnlAH6w/vXbAHw+gE8AgLu/B0C2h52JiIjIWR3uEwwBXArgBIBnAniJmV0YyXOFmV1nZtfdeuuta3pqERGR/u330dRnAnhb/fO2u29bfTIHMxuiOnmLrGD2zpqcpZrEzd4Jl7NUkziNoZBq0qp17BPcAuCSud/vXd8272YAb3L3HQDvNbN/QjVhv3b+Tu5+FYCrAOCyyy7zxaMm5n+PHVGxbPns54OWr+O5Zp+gpJDloOWxLFv14cnT6bSd57r99t3b5s/2HTvz937LZ/mmd9wRLJ/U64xlfx/7bvT29jY26tsPmwUAMHfb9vb27vPEnuugx5rUb06VZ86gPHPmbO1Ondq/XZEssXbv7Ozsefz9shy0fNljxe5/0Gsw39bJbbcdOkus3fP9+DBjrvVx0NH4X8yf0rpmv8eabfdjf9d1lsMu38/ST9Dd/TdxdsN50sz+O4BjZvZ4AK8B8AcrPYPsHjYjZ6kmccXGBoqNjb5jJEU1idMYCqkm7VnTPsG1AC41s/ub2RjAMwBcvXCf30f16TnM7J6oDnm/sXEDEsTeX9nzA/zbF+XvH/s4UP407fvlTnf/v/WPLwDwHAD/AOA/AbgGwEvbjZaPVd8tOZeoJnFl/W66nKWaxGkMhVSTdjXdJ3D3iZk9F8DrUX2//GXu/k4zexGA69z96nrZl5rZ9QCmAL7b3T+6/tb0j72/sucH+Lcvyt8/9nGg/Gla9SzuJYCX1P9EpC0HnDTinKSaiCSlyT6Bu1+DakI/f9sL5352AN9V/xNpF/v2RflFsrTSBN3M3ovI98vc/QFrT5ShXK/R14RqEldsbgJY8p2pc9SsJrKXxlBINemG9gnWg72/sucH+Le5yt8/9nGg/Gla9fpFD5/7eRPAf0B1eRVZQW6dZh1UkzjmjVRbVJM4jaGQatIZ7ROsAXt/Zc8P8G9flL9/7ONA+dO06iHui9//+mkz+3sAL4zdX/aanelWzlJN4izDE100pZrEaQyFVJNuaJ9gPdj7K3t+gH/7ovz9Yx8Hyp+mVQ9xv3zu1wLVu+erfvp+zsu18zShmixRLL2wwrlLNYnSGAqpJt3QPsF6sPdX9vwA+Lcvyt879nGg/GladYP6E3M/TwC8D8DXrD1NpnRt3pBqEuf1dULlLNUkTmMopJp0RvsEa8DeX9nzA/zbF+XvH/s4UP40rXqI+xe3HSRnRf0OYa7fkzgK1SSuGI8B5PG9rHWZ1UT20hgKqSbd0D7BerD3V/b8AP82V/n7xz4OlD9Nqx7ivu/lTtz9J9cTJ0+uy0gEYjU5fvJk48c9deJE48foUzmZ9B0hOapJnNYrIdWkG9onWA/2/sqeH+Dfvih//9jHgfKn6TBncX8EgKvr358M4O8AvKeNULnJtfM0oZoskemhOo2oJlEaQyHVpDPaJ1gD9v7Knh8A//ZF+XvHPg6UP02rTtDvDeBydz8FAGZ2JYDXuvvXtRUsJ7leo68J1SQuh2uCrpuugx6nMRRSTTqjfYI1YO+v7PkB/m2u8vePfRwof5pWPX3iJwPYnvt9u75tX2b2BDN7t5ndYGYv2Od+X2VmbmYPX3YfZtPpNLuO05RqEleeOUO9oWqDahKnMRRSTTpzpH0C2Yu9v7LnB/i3L8rfP/ZxoPxpWvUT9F8D8Hdm9nv1708D8Kv7/YGZDQC8GMDjAdwM4Fozu9rdr1+433EA3wngTYfITSXXSwA0oZrE5XBN0HVTTeI0hkKqSWcOvU8gIfb+yp4f4N++KH//2MeB8qdp1bO4/7CZvQ7AF9Y3Pdvd33LAnz0SwA3ufiMAmNkrATwVwPUL9/tBAD8G4LtXDW1mGAwGMDOYGcqyRFEUcHe4OwaDAabT6YHLAez+PDsLYFmW0eXzjzUYDFCW5crPNXvsNrIcpd1mhqIodp+rjyzj8Tio4eD886v+Npmg2NhAub0NuKPY3ER55ky1Ii8K+M4OivG4OrlIWe5ZPhqNUJYlhsePw8sSPp3uLkdRoBgOUW5vw0YjYHG5WfW4W1uw4XC3nYPBAMWxY/tm8ckEPp+lKGCR5xqPx1Vdjx0LnssnEwwvuAC+s1Pl2tiolg8GgFlVl7l2zx5rcN55Z7OMRkdu96yvDs4/v9FrYEWBcmcHo9EIXv9tNMtwCLjvaWv0NdjchNX5AGB44YWNXoNic3P3sboY/22Nufl1S4rrvTazLHuu2XrFzJJc7+XiiPsEsoB9x5I9PwAY+XW4lb9/7ONA+dN0mJFxFwCfcPefAXCzmd3/gPtfDOCmud9vrm/bZWaXA7jE3V970JOb2RVmdp2ZXXfrrbceInb/yrLM9jp9R+XuqkmETyYoM7gu6DqVOzvwDM70um5ar4RUk04ddp9AFrD3V/b8QLV9Yd7mKn//2MeB8qdp1cus/QCqs7Z+BoBfATAC8OsAPv+oT2xmBYCfBPCsVe7v7lcBuAoALrvsMl/8vsH877HvIixbPvv5oOVNnms0GgEAduqVUJ9ZVl3edpZJPeGa/+7I9Pbbd5fPfycp9v2kZctnNZ6cOhW/7+yHJX9fnj4dZJ5Op9iobz9Mll1zt21vb+8+z+JzAcC07ivLvpdVRh5rescdB2ZZpd2zts5eh6O+BjOz12KxLbHV6H6vweD4cUzrfAAwue22Q2dZbPdi/2Ycc6PRCNPpdM9Yauu52ly+ziyzd9J35nb4UqpLLtrYJzgXsV+/lz0/gOroKmDPNoKJ8vePfRwof5pW/Q76VwB4GIA3A4C7v7/+7vh+bgFwydzv965vmzkO4MEATtY7VZ8C4Goze4q7X7diLgo5Hdq4LqrJEhm+C9iYahKlMRRSTTpzlH0CWcDeX9nzA+Dfvih/79jHgfKnadUJ+ra7u5k5AJjZeSv8zbUALq0Pe7sFwDMAfO1sobt/HMA9Z7+b2UkAz89tcg7k23maUE3iPLN3ANdBNYnTGAqpJp05yj6BLGDvr+z5Af7ti/L3j30cKH+aVv0O+qvN7JcBXGhm3wzgTwC8ZL8/cPcJgOcCeD2AdwF4tbu/08xeZGZPaRKazexEY3KWahI3O6GanKWaxGkMhVSTzhx6n0BC7P2VPT/Av31R/v6xjwPlT9OBn6Bbdfz5qwB8JoBPoPrO2Qvd/Y8P+lt3vwbANQu3vXDJfU+skJdSbt+LWAfVJI79eqBtUE3iNIZCqkn7muwTyF7s/ZU9P8C/fVH+/rGPA+VP04ET9Powtmvc/SEAtAE+glwvAdCEarJEBpccWTvVJEpjKKSatE/7BOvD3l/Z8wPg374of+/Yx4Hyp2nVkfFmM3tEq0kyVhTF7lkGpaKaxBXDIYrhqqeGODeoJnEaQyHVpDPaJ1gD9v7Knh/g374of//Yx4Hyp2nVUfEoAF9nZu8DcAcAQ/VG+me3FSwnuR5+0YRqElfWl06Ts1STOI2hkGrSGe0TrAF7f2XPD/BvX5S/f+zjQPnTtO8E3czu4+7/CuDLOsqTpVyv0deEahJn5O8kt0E1idMYCqkm7dI+wXqx91f2/AD/9kX5+8c+DpQ/TQeNjN8HcLm7/4uZ/Y67f1UHmbKT6yUAmlBNllBdQqpJlMZQSDVp3e9D+wRrw95f2fMD4N++KH/v2MeB8qfpoAn6/DfvH9BmkJzl2nmaUE3icrgm6LqpJnEaQyHVpHXaJ1gj9v7Knh/g374of//Yx4Hyp+mgCbov+VkOYXZ9vtwOv2hCNYkrNjYA5HHpkXWZ1UT20hgKqSat0z7BGrH3V/b8AP82V/n7xz4OlD9NB03QH2pmn0D1rvmx+mfg7Alh7tpqukzk1mnWQTWJK7e2+o6QHNUkTmMopJq0TvsEa8TeX9nzA/zbF+XvH/s4UP407TtBd/dBV0FEBECm13NsRDURSYL2CSQ77NsX5RfJUn4XjkvQYDDYPQRDKqpJXDEeoxiP+46RFNUkTmMopJoIE/b+yp4f4N++KH//2MeB8qeJ//oGBHI9/KIJ1SQuh8O91k01idMYCqkmwoS9v7LnB/i3L8rfP/ZxoPxp0gS9A7leo68J1SQuh2uCrptqEqcxFFJNhAl7f2XPD/BvX5S/f+zjQPnTpEPcRURERERERBLA/9YVgbIs+46QHNUkzieTviMkRzWJ0xgKqSbChL2/sucH+Lcvyt8/9nGg/GnSBL0DuV6jrwnVJC6Ha4Kum66DHqcxFFJNhAl7f2XPD/Bvc5W/f+zjQPnTpAl6B3LrNOugmsSV29t9R0iOahKnMRRSTYQJe39lzw/wb1+Uv3/s40D506QJukhK3PtOkB7VRERE2sC+fVF+kSxpgt6BXA+/aEI1iSs2NwFwH+61brOayF4aQyHVRJiw91f2/AD/Nlf5+8c+DpQ/TZqgdyC3TrMOqkkc80aqLapJnMZQSDURJuz9lT0/wL99Uf7+sY8D5U+TJugdMLO+IyRHNYmz+p1AOUs1idMYCqkmwoS9v7LnB/i3L8rfP/ZxoPxp0gS9A7l2niZUkyWKou8E6VFNojSGQqqJMGHvr+z5AfBvX5S/d+zjQPnTpAl6B3K9Rl8Tqkmc7+z0HSE5qkmcxlBINREm7P2VPT/Av31R/v6xjwPlTxP/W1cEiqJAkcG7hOukmsQV4zGK8bjvGElRTeI0hkKqiTBh76/s+QH+7Yvy9499HCh/mvQJegdcl5EIqCZxPpn0HSE5qkmcxlBINREm7P2VPT/Av31R/v6xjwPlT5Mm6B3ItfM0oZrEeaaH6jShmsRpDIVUE2HC3l/Z8wP82xfl7x/7OFD+NGmC3oFcr9HXhGoSl8M1QddN10GP0xgKqSbChL2/sucH+Le5yt8/9nGg/GnSBL0DuXWadVBN4pg3Um1RTeI0hkKqiTBh76/s+QH+7Yvy9499HCh/mjRB70CulwBoQjWJswxPdNGUahKnMRRSTYQJe39lzw/wb1+Uv3/s40D506QJegdy7TxNqCZxNtSQXKSaxGkMhVQTYcLeX9nzA/zbF+XvH/s4UP408Y8MArleo68J1SSu3N7uO0JyVJM4jaGQaiJM2Psre36Af/ui/P1jHwfKnyb+Y0sI5HqNviZUkzgbjWCjUd8xkqKaxGkMhVQTYcLeX9nzA/zbF+XvH/s4UP406RP0DuR6CYAmVJMlMn0nsBHVJEpjKKSaCBP2/sqeHwD/9kX5e8c+DpQ/TZqgdyDXztOEahLnmZ6NsgnVJE5jKKSaCBP2/sqeH+Dfvih//9jHgfKnSRP0DuR6jb4mVJO4HK4Jum66DnqcxlBINREm7P2VPT/Av81V/v6xjwPlT5Mm6B3IrdOsg2oSx7yRaotqEqcxFFJNhAl7f2XPD/BvX5S/f+zjQPnTpAm6SEoyvVxEI6qJiIi0gX37ovwiWcrvtHcJGgwGu4dgSEU1iSvGYxTjcd8xkqKaxGkMhVQTYcLeX9nzA/zbF+XvH/s4UP406RP0DuR6+EUTqklcubXVd4TkqCZxGkMh1USYsPdX9vwA//ZF+fvHPg6UP02aoHdgdn2+XDvRUagmcTbUkFykmsRpDIVUE2HC3l/Z8wP82xfl7x/7OFD+NOkQdxEREREREZEE8L91RaAsy74jJEc1ifPJpO8IyVFN4jSGQqqJMGHvr+z5Af7ti/L3j30cKH+aNEHvQK7X6GtCNYkrNjYA5HHpkXWZ1UT20hgKqSbChL2/sucH+Le5yt8/9nGg/GnSBL0DuXWadVBN4srt7b4jJEc1idMYCqkmwoS9v7LnB/i3L8q/fsdPnjzU/YtjxwAAG6dP79526sSJNSZqF/s4Zs+/jCboIilx7ztBelQTERFpA/v2Rfn7l0MbJDmaoHcg18MvmlBN4orNTQDch3ut26wmspfGUEg1ESbs/ZU9P8C/zVX+/rG3gX0cs+dfRmdx78B0Os2u4zSlmsSVZ87QruTboprEaQyFVJP0mdkTzOzdZnaDmb1gn/t9lZm5mT28y3xdYu+v7PkB/u2L8vePvQ3s45g9/zL6BL0DZtZ3hOSoJnFWvxMoZ6kmcRpDIdUkbWY2APBiAI8HcDOAa83sane/fuF+xwF8J4A3dZ+yO+z9lT0/wL99Uf7+sbeBfRyz519GE/QO5Np5mlBNlih0UEtANYnSGAqpJsl7JIAb3P1GADCzVwJ4KoDrF+73gwB+DMB3dxuvW+z9dTH/YU+utUynJ9hi374of//I25DbeigXmqB3INdr9DWhmsT5zk7fEZLTZk0odyhrGkMh1SR5FwO4ae73mwE8av4OZnY5gEvc/bVmttIE3cwwGAxgZjAzlGWJoijg7nB3DAYDTKfTA5cD2P25qHe6y7KMLp9/rMFggLIsD/Vcs8xlWWI0Gq0ty1HabWYoimL3uQ6TZfb/YDBAsblZfZpYFPCdHRTjMXwygZclis1NlGfOwIoCNhyi3N6GjUZAWcKn093lMMN4PMZ0OsXg/PMBVNfKLjY2qjN+u599rIXnKicTYP65BgNYUVTZigKD887b+1xFgWJzE769jcHx49EsxXiMcmsLNhzuZhmPx9WZu/fJsmq7Z20tjh2LPteedm9sVMsHA8CsWr65uft/sbm5Ow4Gx49XWUYj+GK7igLFAa/BLMtoNAJQfc+6yWtQ7uzs9vNZ1vLMGdhwCBsO4Ts7Vbvdqyx1W5e9BsXGxu53j4cXXtjoNZgt39OPl70GsXYvvAblmTMYDoetjbm2xv9sedvrvXWvg2f5u1zvres12A/32z4kZoNezlJN4orxGMV43HeMpKgmcRpDIdWEm5kVAH4SwH9d4b5XmNl1Znbdrbfe2n64FswmjqxyGG/FaES9fSlGIxT1JJoRe36Avw3s47io34TLjT5B74A+1QmpJnHlZNJ3hOSoJnEaQyHVJHm3ALhk7vd717fNHAfwYAAn68MWPwXA1Wb2FHe/bv6B3P0qAFcBwGWXXeaLJwma/z12AqFly2c/H7R8Hc81M5lbx/Wd5TB12dra2r1tOp1iY+FEWfMnzoqeRGvJ8u362tjT229f+bH2Wz7LN73jjmD57Pis8s474481d23r+Xyza14fNguAPe2etbU8fTr6XAc91s5tt+0uK8+cOfs6nTq179/vrimXLa+z7NRHsC2eCO0o7Y491mT2yeR+fWdJXWZtndQ1OEyWWLuP2o8XXwPg4DE9r+910ex1WTzZWkrrmv0ey90xmUx2a95nlsMu348m6B046DCGc5FqsoQmGCHVJEpjKKSaJO9aAJea2f1RTcyfAeBrZwvd/eMA7jn73cxOAnj+4uQ8F+z9lT0/AP7ti/L3j7wN7OOYPf8yvMdWEWE/fKQNqknc7DtMcpZqEqcxFFJN0ubuEwDPBfB6AO8C8Gp3f6eZvcjMntJvuu6x91f2/AD/9kX5+8feBvZxzJ5/GX2C3oEcr8/XlGoSx3wtzbaoJnEaQyHVJH3ufg2AaxZue+GS+57oIlNf2Psre36Af/ui/P1jbwP7OGbPv4wm6B3I9RIATagmcezX02yDahKnMRRSTYQJe39lzw/wb1+Uv3/sbWAfx+z5l9EEvQO5dp4mVJM4Iz6jb1tUkziNoZBqIkzY+yt7foB/+6L8/WNvA/s4Zs+/jCboHdCZhUOqSVyp66AHVJM4jaGQaiJM2Psre36Af/ui/P1jbwP7OGbPvwz32z4kiqKgvtZpG1STOPbrabZBNYnTGAqpJsKEvb+y5wf4ty/K3z/2NrCPY/b8y+gT9A7kegmAJlSTOM/0ncAmVJM4jaGQaiJM2Psre36Af/ui/P1jbwP7OGbPv4wm6B3ItfM0oZrEeaZno2xCNYnTGAqpJsKEvb+y5wf4ty/K3z/2NrCPY/b8y2iC3oHZ9flyvRTAUagmcbNrabJftmOdmK8v2iaNoZBqIkzY+yt7foB/m6v8/WNvA/s4Zs+/jCboHcit06yDahLHuoJvk2oSpzEUUk2ECXt/Zc8P8G9flL9/7G1gH8fs+ZfRBL0DuV4C4PjJk0f+2+IudwEAlHfeiVMnTqwnUA4yPNFFY6pJVK7rlSZUE2HC3l/Z8wPg374of//I28A+jtnzL6MJegdyPLtgU8Ww6nrcp9ZYP9UlNKuJ7KX1Skg1ESbs/ZU9P8C/zVX+/rG3gX0cs+dfRnu+Hcj18Ismyu3tviMkSXUJqSZxWq+EVBNhwt5f2fMD/NsX5e8fexvYxzF7/mXyfNshMbleo68JG41gxNeNbIvqElJN4rReCakmwoS9v7LnB/i3L8rfP/Y2sI9j9vzL6BP0DuR6CYBGyK8b2RrVJaSaRGm9ElJNhAl7f2XPD4B/+6L8/SNvA/s4Zs+/jCboHci18zTBft3ItqguIdUkTuuVkGoiTNj7K3t+gH/7ovz9Y28D+zhmz7+MJugdyPUafU2wXzeyLapLSNdBj9N6JaSaCBP2/sqeH+Df5ip//9jbwD6O2fMvowl6B3LrNOvAuiJrm+oSUk3itF4JqSbChL2/sucH+Lcvyt8/9jawj2P2/Mtogi79yPS6hY2pLiHVRERE2sC+fVH+/uXQBklOfqe9S9BgMNg9BEMqxXiMYjzuO0ZyVJeQahKn9UpINREm7P2VPT/Av31R/v6xt4F9HLPnX0afoHcg18Mvmii3tvqOkCTVJaSaxGm9ElJNhAl7f2XPD/BvX5S/f+xtYB/H7PmX0QS9A7Pr8+XaiY7Chup6MapLSDWJ03olpJoIE/b+yp4f4N++KH//2NvAPo7Z8y+jQ9xFREREREREEsD9tg+Jsiz7jpAcn0z6jpAk1SWkmsRpvRJSTYQJe39lzw/wb1+Uv3/sbWAfx+z5l9EEvQO5XqOviWJjAwD/5SnWTXUJzWoie2m9ElJNhAl7f2XPD/Bvc5W/f+xtYB/H7PmX0QS9A7l1mnUot7f7jpAk1SWkmsRpvRJSTYQJe39lzw/wb1+Uv3/sbWAfx+z5l9EEXfrh3neCNKkuIdVERETawL59Uf7+5dAGSY4m6B3I9fCLJorNTQC8hwS1RXUJzWoie2m9ElJNhAl7f2XPD/Bvc5W/f+xtYB/H7PmX0QS9A7l1mnVgXZG1TXUJqSZxWq+EVBNhwt5f2fMD/NsX5e8fexvYxzF7/mU0Qe+AmfUdITlWv+Mle6kuIdUkTuuVkGoiTNj7K3t+gH/7ovz9Y28D+zhmz7+MJugdyLXzNFIUfSdIk+oSUk2itF4JqSbChL2/sucHwL99Uf7+kbeBfRyz519GE/QO5HqNviZ8Z6fvCElSXUKqSZzWKyHVRJiw91f2/AD/9kX5+8feBvZxzJ5/Ge63fUgURYGC/B22dSvGYxTjcd8xkqO6hFSTOK1XQqqJMGHvr+z5Af7ti/L3j70N7OOYPf8y+gS9A65LMAR8Muk7QpJUl5BqEqf1Skg1ESbs/ZU9P8C/fVH+/rG3gX0cs+dfRhP0DuTaeZrwTA9JaUp1CakmcVqvhFQTYcLeX9nzA/zbF+XvH3sb2Mcxe/5lNEHvQK7X6GuC/bqRbVFdQroOepzWKyHVRJiw91f2/AD/Nlf5+8feBvZxzJ5/GU3QO5Bbp1kH1hVZ21SXkGoSp/VKSDURJuz9lT0/wL99Uf7+sbeBfRyz519GE/QO5HoJgCYswxM6rIPqElJN4rReCakmwoS9v7LnB/i3L8rfP/Y2sI9j9vzLtNqrzOwJZvZuM7vBzF4QWf5dZna9mb3dzP7UzO7bZp6+mFm2HeiobDiEDfX+0CLVJaSaxGm9ElJNhAl7f2XPD/BvX5S/f+xtYB/H7PmXaa1HmdkAwIsBPB7AzQCuNbOr3f36ubu9BcDD3f1OM/tWAD8O4OltZepLrtfoa6Lc3u47QpJUl5BqEqf1Skg1ESbs/ZU9P8C/fVH+/rG3gX0cs+dfps1P0B8J4AZ3v9HdtwG8EsBT5+/g7n/m7nfWv/4tgHu3mKc3uV6jrwkbjWCjUd8xkqO6hFSTOK1XQqqJMGHvr+z5Af7ti/L3j70N7OOYPf8ybR6TcTGAm+Z+vxnAo/a5/3MAvG6VBzYzDAaD3cMayrJEURRwd7g7BoMBptPpgcsB7P48e3HLsowun3+swWCAsixXfq7ZoRej0WjtWY7SbjNDURS7z3XULMXmJmwwAIoCvrODYjyGTybwskSxuYnyzBlYUcCGQ5Tb29UKrCzh0ymG55+PcmsLfuwYxuMxptMpBuefD6C6pmSxsVG9K+l+9rEWnqucTID55xoMdms8PH4cXj/XbDmKAkUky+5ys+pxt7Z2D1caDAZVW48d2zfLqu2etbU4dix4Lp9Mqrpsb8M3N6sabG1Vz2VW1WWu3bt1O++8s1lGoyO3ezAYoCgKDM4/v9FrYEWBcmcHo9EIXv9tNMtwCLhXWeq2xl6DYjSC1fkAYHjhhY1eg2Jz8+xjXXBB8Bocpd3D4bCTMTc/vmcbpVTXe21mWfZcw+EQZVnu9r22X4PDtltkHnufYM8PAGD/9E35+0feBvZxzJ5/mSS+NGFmXwfg4QAes899rgBwBQBcdNFFHSVbj1w7TxM+ncIzPfNiE6pLyKdTGPkGsA2a9IVUE2HC3lfZ8wOg394qf//Y28A+jtnzL9PmBP0WAJfM/X7v+rY9zOxxAL4PwGPcfWvZg7n7VQCuAoDLLrvMF0+rP/977JT7y5bPfj5oeZPnGo/HAICdnZ3es6y6fJUsGwuXlpi/1ET0shPzyzc3ATOUp09ju/7+zvT221d+rGXLZzWenDoVv28sy/zPp0/veZ7pdFq1tb79MFl2zd02a2t5+nTwXEBdl/pxDnqu3brdcceBWVZp96yts9fhqK/BzOy1WGxLbKq932swvPBClNvbu/1vcttth86y2O7dx/r4xw/9WLHlk8lk97au1kXj8RhlWe4+d2rrvT6yzD75nvW9PrPsd5sIwH/9Xvb8AP81rJW/f+xtYB/H7PmXaXOCfi2AS83s/qgm5s8A8LXzdzCzhwH4ZQBPcPcPtZilV7l1mnVgXZG1TXUJqSZxWq+EVBNhwt5f2fMD/NsX5e8fexvYxzF7/mVam6C7+8TMngvg9QAGAF7m7u80sxcBuM7drwbwvwCcD+A19fe0/9Xdn9JWJklIhpdEWAvVJaSaiIhIG9i3L8rfvxzaIMlp9Tvo7n4NgGsWbnvh3M+Pa/P5U5Hr4RdNFPVh/7HDvM9lqktoVhPZS+uVkGoiTNj7K3t+gH+bq/z9Y28D+zhmz79MEieJy11unWYdyq2lpxs4p6kuIdUkTuuVkGoiTNj7K3t+gH/7ovz9Y28D+zhmz7+MJugdmJ24KNdOdBSzy1rJXqpLiKkmx0+eXMvjnDpx4sD7aL0SUk2ECXt/Zc8PcG1fYpS/f+xtYB/H7PmXye/K7iIiIiIiIiKEuN/2IVHqGs4Bn7sslZyluoRUkzitV0KqiTBh76/s+QH+7Yvy94+9DezjmD3/MpqgdyDXExg0UWxsAOC/PMW6qS6hWU1kL61XQqqJMGHvr+z5Af5trvL3j70N7OOYPf8ymqB3ILdOsw7l9nbfEZKkuoRUkzitV0KqiTBh76/s+QH+7Yvy94+9DezjmD3/MpqgSz/c+06QJtUlpJqIiEgb2Lcvyt+/HNogydEEvQO5Hn7RBPshQW1RXUI6xD1O65WQaiJM2Psre36Af5ur/P1jbwP7OGbPv4wm6B3IrdOsA/t1I9uiuoRUkzitV0KqiTBh76/s+QH+7Yvy94+9DezjmD3/Mpqgd8DM+o6QHKvf8ZK9VJeQahKn9UpINREm7P2VPT/Av31R/v6xt4F9HLPnX0YT9A7k2nkaUU3iVJeQahKl9UpINREm7P2VPT8A/u2L8vdvnzYcP3lyLU9x6sSJtTxODPs4Zs+/jCboHcj1Gn1NsF83si2qS0g1idN6JaSaCBP2/sqeH+Dfvih//9jbwD6O2fMvU/Qd4FwwGAx2T2IglWI8RjEe9x0jOapLSDWJ03olpJoIE/b+yp4f4N++KH//2NvAPo7Z8y+jT9A7kOu7O02U5O84tkV1CakmcVqvhFQTYcLeX9nzA/zbF+XvH3sb2Mcxe/5lNEHvgOsaiaFMB1RjqktINYnSeiWkmggT9v7Knh8A//ZF+ftH3gb2ccyefxlN0DuQ6zX6mig2NwHwXjeyLapLaFYT2UvrlZBqIkzY+yt7foB/m6v8/WNvA/s4Zs+/jCboHUil06R0NknWFVnbVJeQahKXynolJaqJMGHvr+z5Af7ti/L3j70N7OOYPf8ymqB3INdLADTBft3ItqguIdUkTuuVkGoiTNj7K3t+gH/7ovz9Y28D+zhmz7+MzuLeATPLtgMdWVFU/2Qv1SWkmkRpvRJSTdJnZk8ws3eb2Q1m9oLI8u8ys+vN7O1m9qdmdt8+cnaBvb+y5wfAv31R/v6Rt4F9HLPnX0afoHcg1zMMNuE7O31HSJLqElJN4rReCakmaTOzAYAXA3g8gJsBXGtmV7v79XN3ewuAh7v7nWb2rQB+HMDTu0/bvhT6a5Ovvs2+e/vxRz96TWm6x759Uf7+sbchhfVQE+z5l+F9y4dIURQoiN9da0MxGqEYjfqOkRzVJaSaxGm9ElJNkvdIADe4+43uvg3glQCeOn8Hd/8zd7+z/vVvAdy744ydYe+vOayb2dug/P1jbwP9eog8/zL6BL0DuV4CoAnP9B2vplSXkGoSp/VKSDVJ3sUAbpr7/WYAj9rn/s8B8LqDHtTMMBgMdg91LMsSRVHA3eHuGAwGmE6nBy4HsPvzbIevLMvo8vnHGgwGKMvyUM9lZhgOhyjLEqPRaG1ZDtvuYnMTKAoUwyHK7W3YcAi4w6dTFBsbKLe2ADMU4zHKra1qOQCfTFCcdx58ZweDwWD3sWwwAIoCvrODYjyGTybwskSxuYnyzBlYUcBmzzUaAWVZPVe9HGYYj8eYTqcYnH/+2efa2EC5vQ24n32shecqJxNg/rkGA1hRVNmKAoPzztv7XEVRtWF7G4Pjx6NZYu0ej8cojh3bN8uq7Z61tTh2LF7j+XbXr4cNBoDZ2ddgMkGxs4Nic3N3HAyOH6+yjEbwxXbNv95LXoNZllE98Sw2Nxu9BuXOzm4/LzY3zy7f2IANhyh2dg7X9zY2ds/ePbzwwkavwWz5nn687DWItXvhNSjPnMFwOISZVW1t+BrYcIjRaNTK+J+tX4qi2F3e9npv3evgWf7DPtfsb2fP1cc6eD+aoHdAO40hz/Ssi02pLiHVJE7rlZBqkg8z+zoADwfwmCXLrwBwBQBcdNFFHSZbn1V20pJWlvRvoPp0Sr2NySE/yL8/TP8akK+H2PMvowl6B3K9Rl8T7NeNbIvqEtJ10OO0XgmpJsm7BcAlc7/fu75tDzN7HIDvA/AYd9+KPZC7XwXgKgC47LLLfPE1n/891h+WLZ/9fNDydTzX7FOZnbnvsHadZaPe1sSm2fPbofL06XB5vW6eTqd7Hiv697Ft2pLl29vb1ePefvvKj7Xf8lm+6R13BMuL8Rgww/TUqfhjRdq9vb2Njfr2w2YBsKfds7aWp0/Ha3zAY83vM5RnzpztM3V7lv397uu9bHmdZdY3Z4+/X5aDlsceq9jchO/sBPc/sO/NtXVy222HzhJr91H78eJrAACTySS4LXisfbIAe9s9q10b66LZJ+Gz9jd5rHUsP+x6bzweoyzL3Zr3meWwy/ejCXoHtLMY0gQ0TnUJqSZxWq+EVJPkXQvgUjO7P6qJ+TMAfO38HczsYQB+GcAT3P1D3UfsDnt/zWHdzN4G5e8fexvY10Ps+ZfRBL0DOZ7+v7EMT+iwFqpLSDWJ0nolpJqkzd0nZvZcAK8HMADwMnd/p5m9CMB17n41gP8F4HwAr6lfz39196f0FrpF9P01h3UzexuUv3/kbWBfD7HnX0YT9A7k2nmaKOoTcHB/e239VJfQrCayl9YrIdUkfe5+DYBrFm574dzPj+s8VE/Y+2sO62b2ba7y94+9DezrIfb8y/CvXQnkeo2+Jsr6e1eyl+oSUk3itF4JqSbChL2/5rBuZm+D8vePvQ306yHy/MtwH5dBItdr9DVho1F1aQnZQ3UJqSZxWq+EVBNhwt5fc1g3s7dB+fvH3gb29RB7/mX0CXoHcjz9f2OZvuPVmOoSUk2itF4JqSbChL6/5rBuZm+D8vePvA3s6yH2/Mtogt6BXDtPE8zXjGyT6hJSTeK0XgmpJsKEvb/msG5mb4Py94+9DfTrIfL8y2iC3gFdmzek633HqS4hXQc9TuuVkGoiTNj7aw7rZvZtrvL3j70N7Osh9vzLaILegdw6zTqwrsjaprqEVJM4rVdCqokwYe+vOayb2dug/P1jbwP7eog9/zKaoEs/Mr0sQmOqS0g1ERFJTw7rZvY2KH//cmiDJCe/094laDAY7B6CIZViPEYxHvcdIzmqS0g1idN6JaSaCBP2/prDupm9DcrfP/Y2sK+H2PMvo0/QO5Dr4RdNlFtbfUdIkuoSUk3itF4JqSbChL2/5rBuZm+D8vePvQ3s6yH2/Mtogt6B2fX5cu1ER2FDdb0Y1SWkmsRpvRJSTYQJe3/NYd3M3gbl7x97G9jXQ+z5l9Eh7iIiIiIiIiIJ4H7bh0RZln1HSI5PJn1HSJLqElJN4rReCakmwoS9v+awbmZvg/L3j70N7Osh9vzLaILegVyv0ddEsbEBgP/yFOumuoRmNZG9tF4JqSbChL2/5rBuZt/mKn//2NvAvh5iz7+MJugdyK3TrEO5vd13hCSpLiHVJE7rlZBqIkzY+2sO62b2Nih//9jbwL4eYs+/jCbo0g/3vhOkSXUJncM1OX7y5NJlxeYmgIPftT914sQaE4mI1HJYN7O3Qfn7l0MbJDmaoHcg18Mvmlh1cnGuUV1Cs5rIXuorIa1rhQl7f81h3cy+HlX+/rG3gX09xJ5/GU3QO5Bbp1kH1hVZ21SXkGoSp7qEtK4VJuz9NYd1EHsblL9/7G1gXw+x519GE/QOmFnfEZJj9TtespfqElJN4lSXkNa1woS9v+awDmJvg/L3j70N9Osh8vzLaILegVw7TyNF0XeCNKkuIdUkTnUJaF0rTOj7aw7rIPY2KH//yNvAvh5iz7+MJugdyPUafU34zk7fEZKkuoRUkzjVJaR1rTBh7685rIPY26D8/WNvA/t6iD3/Mtxv+5AoigIF+Tts61aMxyjG475jJEd1CakmcapLSOtaYcLeX3NYB7G3Qfn7x94G+vUQef5l9Al6B1yXYAiUk0nfEZKkuoRUkzjVJaR1rTBh7685rIPY26D8/WNvA/t6iD3/MpqgdyDXztNIpoekNKa6hFSTONUloHWtMKHvrzmsg9jboPz9I28D+3qIPf8ymqB3INdr9DXBft3ItqguoRyutdsG9ZWQ1rXChL2/5rBuZl+PKn//umzD8ZMn1/I4p06c2P2ZfT3Enn8ZTdA7kFunWQfmlXGbVJeQahKnuoS0rhUm7P01h3UQexuUv3/sbWBfD7HnX0YT9A7kegmAJtivG9kW1SWkmsSpLiGta4UJe3/NYR3E3gbl7x97G+jXQ+T5l9EEvQO5dp4mLMMzLq6D6hJSTeJUl5DWtcKEvb/msA5ib4Py94+9DfTrIfL8y2iC3oFcr9HXREl+3ci2qC4h1SROdQlpXStM2PtrDusg9jYof//Y20C/HiLPvwz32z4kcr1GXxM2GsFGo75jJEd1CakmcapLSOtaYcLeX3NYB7G3Qfn7x94G9vUQe/5l9Al6B5pcAmAdZ2ycP1tjMjJ9x6sx1SWkmsSpLoFcL7cieaLvrzmsg9jboPz9I28D+3qIPf8ymqB3INfO04RnetbFplSXkGoSp7qEtK4VJuz9NYd1EHsblL9/7G2gXw+R519GE/QO5HqNviZyuPZlG1SXUA7X2m2D+kpI61phwt5fc1g3s69Hlb9/7G1gXw+x519GE/QO5NZp1oF1RdY21SWkmsSpLiGta4UJe3/NYR3E3gbl7x97G9jXQ+z5l9EEvQO5XgKgkQxP6LAWqktINYlTXQJa1woT+v6awzqIvQ3K3z/yNrCvh9jzL6MJegdyPLtgU8Ww6nrcp9ZYP9UlNKuJ7KW+EtK6Vpiw99cc1s3s61Hl7x97G+jXQ+T5l+FfuxLI9fCLJsrt7b4jJEl1CakmcapLSOtaYcLeX3NYB7G3Qfn7x94G9vUQe/5lNEHvwOzdnVw70VFYBu+8t0F1CakmcapLSOtaYcLeX3NYB7G3Qfn7x94G9vUQe/5luHsViVwvAdCIahKnuoRUkzjVJaB1rTCh76/s+QH+Nih//8jbwL4eYs+/jCboHci18zTBft3ItqguIdUkTnUJaV0rTNj7aw7rIPY2KH//2NtAvx4iz7+MJugdyPUafU0UGxsA+C9PsW6qS2hWE9lLfSWkda0wOUp/PX7y5Fqe+9SJE40fI4d1M/t6VPn7x94G9u0me/5lNEHvQG6dZh3Kra2+IyRJdQmpJnGqS0jrWmHC3l9zWAext0H5+8feBvb1EHv+ZTRBl35ket3CxlSXkGoSd8i6pPTJm4hkIId1M3sblL9/ObRBkpPnxeMSMxgMdg/BkEoxHqMYj/uOkRzVJaSaxKkuIa1rhQl7f81hHcTeBuXvH3sb2NdD7PmX0SfoHcj18Ism2A8JaovqElJN4lSXkNa1woS9v+awDmJvg/L3j70N7Osh9vzLaILegVyv0dcE+3Uj26K6hFSTONUlpHWtMGHvrzmsg9jboPz9Y28D+3qIPf8yOsRdREREREREJAHcb/uQKMuy7wjJ8cmk7whJUl1Cqkmc6hLSulaYsPfXHNZB7G1Q/v6xt4F9PcSefxlN0DuQ6zX6mmC/bmRbVJdQDtfabYP6SkjrWmHC3l9zWDezr0eVv3/MbTh+8iSGF1wAAJh8/ONHeoy+r+zCvh5dRhP0DuTWadah3N7uO0KSVJeQahKnuoS0rhUm7P01h3UQexuUv3/sbWDPz74eXUYTdOmHe98J0qS6hFSTONVFRPqUwzqIvQ3K3z/2NrDnz5Qm6B3I9fCLJorNTQCchwS1SXUJzWoie6mvhLSuFSbs/TWHdTP7elT5+8feBvb87OvRZTRB70BunWYdWFcEbVNdQqpJnOoS0rpWmLD31xzWQextUP7+sbeBPT/7enQZTdA7YGZ9R0iO1e94yV6qS0g1iVNdQlrXChP2/prDOoi9DcrfP/Y20OcnX48uowl6B3LtPI0URd8J0qS6hFSTONUloHWtMKHvrzmsg9jboPz9Y28DeX769egSmqB3INdr9DXhOzt9R0iS6hJSTeJUl5DWtcKEvb/msA5ib4Py94+9Dez52dejy2iCvmbHT54Mbhve9a4AgMknPrHy4/R9XcG2FeMxAP7vvqyb6hKa1UT2Ul8JFfUnAbl+J034xPYJZg6zb5DiPkEO62b29ajy94+9DfT5M93ua4LeAZ9M+o6QHNUkTnUJqSZxqkvIdbkYIcI+htnzA/xtUP7+sbeBPn+m231N0DvgmR5+0YRqEqe6hFSTONUllOuGWvLEPobZ8wP8bVD+/rG3gT5/ptt9TdA7wH6NwTaoJnGqSyiHa+22oe++st+hu4exzkN3c70equSp7zHcVA7r5lxeA+XvD3sb2PPnut3XBL0DrJ2+TapJnOoSUk3iVJdQbhtoyRv7GGbPD/C3Qfn7x94G9vy5bvc1Qe+AkV/CoA2qSZzqElJN4lSXUK6XW5E8sY9h9vwAfxuUv3/sbUg1/6pH6Q3uchcAwPTOO6PLUzzB5io0Qe+ADVXmRapJnOoSUk3icqvLOg6ZP/P4xzcPIue8dfTFVXYK2ccwe36Avw3K3z/2Nqwrf19fe2Ov/zJ5tuoQuuhQ5fb2Wp4jJ6pJnOoSUk3iVJdQrtdDlTyxj2H2/AB/G5S/f+xtUP40tXpcg5k9wczebWY3mNkLIss3zOxV9fI3mdn92szTFxuNYKNR3zGSoprEqS4h1SROdQkVRbF7TVRJk/YLzmIfw+z5Af42KH//2Nug/GlqbU/GzAYAXgzgiQAeBOCZZvaghbs9B8Ct7v5pAH4KwI+1ladXZVn9k7NUkzjVJaSaxKkuAXfP9pIrOdB+wQL2McyeH+Bvg/L3j70Nyp+kNg9xfySAG9z9RgAws1cCeCqA6+fu81QAV9Y//zaAnzcz88z2sDzTMww2oZrEqS4h1SROdQnNNh0pXgJOAGi/YA/2McyeH+Bvg/L3j70Nyp+mNifoFwO4ae73mwE8atl93H1iZh8HcA8AH9nvgc0Mg8EAZgYzQ1mWKIpi99OTwWCA6XR64HIAGF5wAcqtrd2TDPhkgmJjo/pOg3v189YWbDAAzKrl4zHKyQQoSxSbmyjPnMFwOISZodjcRDEawcsSPp1Wv29sAGYo77wT5fZ2dSjG3PLyzBnArHrcOstoNEJZllW+WZb6vjYYAEUB39mJZrHBAFYUKHd2YKMRhsMh3B3DCy+snqsoUAyHVZbhEHCvstRtXcyyWJfBYIDBYIBiczPI4pMJfD5LUcBmzzXX7vG97oVyexsTM4zHY0ynUwzOPz/+Ghyi3bt1O358z2sQtHuF1wDA2bYeO7ZvlpXbXbe1OHYsWuPRve4F397GBDiw7+3W7bzzzmZZ6HuHafdgMEBRFBicf36j12DW90ajEbz+22iWFfve4LzzYKPR7rUuZ/34qK9Bsbl59rEOGv8rtnu/8X+UvrfK+B/c5S6w0QiTj31s33YH4/+A8X3Qem/p+D9iu9c5/jc2NlCWJQbHj4fPdZS+V7d1tr1YdduybLm0s1+wzn2C3b7d4j7BrD+O7n53+M4Oph3vE6As94zjo+4TjO55T/h+64RDrpfbWCdYUZzdtp13XqPXYJZlPB53tk9wUN+bvQaT227b3baZGQbHjzfeJyi3tjCqDx2e7cuue59geOGFsOEQOx/5yKH3R9e5T1CeObO3Hx9in2DxNehrn+Aw7Z5va/AaHHK91/c+wWxfaOdjH9t3/J/313/deJ/AJxOc/qIv6mSfgOYkcWZ2BYAr6l9vf9CDHvTuPvMcwT1xwBsP5yDVJE51CakmcapLKOWa3LfvALnIYJ9gJuX+ugr2/AB/G5S/f+xtUP5+LN0naHOCfguAS+Z+v3d9W+w+N5vZEMAFAD4aezB3vwrAVS3k7ISZXefuD+87R0pUkzjVJaSaxKkuIdUkaWvbL2DfJ5hh76/s+QH+Nih//9jboPzpafN0t9cCuNTM7m9mYwDPAHD1wn2uBvCN9c9fDeCNOX7PTERERLRfICIicpDWPkGvvzv2XACvBzAA8DJ3f6eZvQjAde5+NYD/A+AVZnYDgI+h2liLiIhIZrRfICIicrBWv4Pu7tcAuGbhthfO/XwGwH9oM0NC6A/Fa4FqEqe6hFSTONUlpJokTPsFAfb+yp4f4G+D8vePvQ3KnxjTkWMiIiIiIiIi/WvzO+giIiIiIiIisiJN0I/AzF5mZh8ys3fM3Xalmd1iZm+t/z2pvv2Rc7e9zcy+YsljvtzM3jt338/pqDlrcZiazC2/j5ndbmbPX/KY9zezN5nZDWb2qvqkQlRaqss501fM7H5mdnru9l9a8ph3N7M/NrP31P/frav2rEtLddm3r6XusOPHzD7bzP7GzN5pZv9gZpuRx6TvK5I+M/uMuT76VjP7hJk9b+E+ZmY/W2/j3m5ml88t+8a6j77HzL4xeII08v/HOvc/mNlfm9lD55a9r779rWZ2XaL5T5jZx+fu88K5ZU8ws3fXr80Lus5fZ1ilDd89t/wdZjY1s7vXy3p9DeoM/6VeH7/DzH5rcZ1sZhtW7d/dYNX+3v3mln1vffu7zezLOg+PlfJ/l5ldX4+DPzWz+84tm869Nosnw+zMCm14lpl9eC7rN80t63U9VGc4KP9PzWX/JzO7bW5ZEq/Bkcwulq5/q/8D8EUALgfwjrnbrgTw/Mh97wJgWP/8qQA+NPt94X4vB/DVfbeti5rMLf9tAK9Zdh8ArwbwjPrnXwLwrX23M5G6nDN9BcD95u+3z2P+OIAX1D+/AMCP9d3OROqyb19L/d8hazIE8HYAD61/vweAQY59Rf+4/qE6Id6/Abjvwu1PAvA6AAbg0QDeVN9+dwA31v/frf75bgnm/7xZLgBPnOWvf38fgHv2XfsD8p8A8IdL7v/PAB4AYAzgbQAelGIbFu7zZFRXPUjiNQBwMYD3AjhW//5qAM9auM9/BvBL9c/PAPCq+ucH1XXfAHD/+vUI1ucJ5P9iAHepf/7WWf7699v77DOHaMOzAPx85G97Xw+tkn/h/t+O6uSjybwGR/2nT9CPwN3/AtXZZVe5753uPql/3QSQ5Zf+D1MTADCzp6EadO9cstwAfAmqySoA/CqApzUK2YN11yUHh63Jip6Kqo8A50hfORccsiZfCuDt7v62+m8/6u7TyP3o+4rQeSyAf3b3f1m4/akAfs0rfwvgQjP7VABfBuCP3f1j7n4rgD8G8IRuI+8Rze/uf13nA4C/RXVd+xQtq/8yjwRwg7vf6O7bAF6J6rXq0ypteCaA3+ooz6qGAI6Z2RDVB1bvX1g+vz7+bQCPrff/ngrgle6+5e7vBXADqtela/vmd/c/c/c7619THQMHvQbLpLIeOkz+FMfAkWiCvl7PrQ9zeZnNHTZpZo8ys3cC+AcA3zI3YV/0w/Xf/5SZbXSSuH1BTczsfAD/DcD/2Ofv7gHgtrla3YzqnbRcHLUuM+dEX6nd38zeYmZ/bmZfuORvP9ndP1D//G8APrndqJ1qUpf9/p5ZrE2fDsDN7PVm9mYz+54lf5tzX5E0PQPxncaLAdw09/tsO7fs9r4syz/vOaiOBphxAG8ws783sytaS7aa/fL/O6u+fvg6M7usvi21+gMHvAZmdhdUk6ffmbu519fA3W8B8L8B/CuADwD4uLu/YeFuu7Wu9/c+jmr/r/fXYMX88xbHwKaZXWdmf1t/+NK5Q7Thq+pt6m+b2SX1bVSvQf31gvsDeOPczb2/BkelCfr6/CKABwL4HFSd6CdmC9z9Te5+GYBHAPjexe9P1L4XwGfW97k7qokau2U1uRLAT7n77f3E6l3TupxLfeUDAO7j7g8D8F0AftPM7rrfA3l1XFMuR6o0rcvS9RKxZW0aAvgCAP+x/v8rzOyx+z1QZn1FEmTVuVOeguprS3RWyW9mX4xqcjK/LfoCd78c1aHv32ZmX9Rq0OXZ9sv/ZlSHjD8UwM8B+P0Oo61sxT70ZAB/5e7zRxz1+hrUb54+FdWk6SIA55nZ13WZoYnD5K9vfziA/zV3833d/eEAvhbAT5vZA1uOHMu1Shv+AMD93P2zUX1K/qtIxCH70DMA/PbCkXO9vwZHpQn6mrj7B9196u4lgJcgciiOu78LwO0AHhxZ9oH6MLctAL8S+3s2+9TkUQB+3MzeB+B5AP67mT134c8/iupwv2H9+70B3NJ+6vY1rMs51Vfqw9s+Wv/896i+h/bpkYf4YH1oKOr/P9RN8nY1rcsq6yU2+7TpZgB/4e4fqQ85vAbV99cXZdlXJFlPBPBmd/9gZNktAC6Z+322nVt2ex/2yw8z+2wALwXw1Nk6Cdj95Avu/iEAv4f+1j1L87v7J2ZviLv7NQBGZnZPpFV/4IDXoBZ8wp7Aa/A4AO919w+7+w6A30V13oJ5u7Wu9/cuQLX/l8JrsEp+mNnjAHwfgKfU+2UA9tT/RgAnATysi9ALDmxD/XWwWe6XAvjc+mea16C23xjo8zU4Ek3Q12S2w1f7CgDvqG+//2ySWR9+8ZmoTtwR/fv6uzdPm/09s2U1cfcvdPf7ufv9APw0gP/p7j8//7f1J1t/BuCr65u+EcD/bTtzF5rUZf7vz4W+Ymb3MrNB/fMDAFyK6kQli65G1UeAc6CvrFqXZX/PbJ82vR7AQ8zsLvU69zEAro88RJZ9RZK133cirwbwDVZ5NKrDNz+Aqi9/qZndrf4E6Uvr2/qwNL+Z3QfVDvPXu/s/zd1+npkdn/2MKn9f65798n9KvR2FmT0S1T7xRwFcC+DSev9tjGrHv88zQO/7vVozuwDV+u7/zt2WwmvwrwAeXa+TDdX36N+1cJ/59fFXozrJnde3P8Oqs7zfH9U27u86yj1zYH4zexiAX0Y1Of/Q3O13s/rrh/WbPp+P+Paobau0YX6b+pS55Smsh1bpQzCzz0R1Iru/mbstldfgaDyBM9Wx/UO1ovwAgB1Un9o8B8ArUH3H/O2oViyfWt/361Gd8OutqA6netrc41wD4KL65zfWf/8OAL8O4Py+29lWTRb+7krMnZF5oSYPQLVCvgHVoV0bfbczkbqcM30FwFctjJ8nzz3OSwE8vP75HgD+FMB7APwJgLv33c5E6nJgX0v532HHD4Cvq+vyDgA/nmtf0T+OfwDOQzXhu2Dutm9BdS4aoDp7+4tRHQHzD7M+Wi/7/9XbvhsAPDvR/C8FcGu9HnorgOvq2x+A6gzcb6vH4/clmv+5db63oTrB1+fN3e9JAP6pfm16yb9KG+rfn4XqhGrzf5fKa/A/APxjvU5+Baqzsr8I1YQWqE6e/Jq6n/8dgAfM/e331fV/N4AnJpr/TwB8cG4MXF3f/nn1mH5b/f9zeuxDB7XhR+bGwZ8B+My5v01hPbRv/vo+VwL40YW/S+Y1OMo/qxshIiIiIiIiIj3SIe4iIiIiIiIiCdAEXURERERERCQBmqCLiIiIiIiIJEATdBEREREREZEEaIIuIiIiIiIikgBN0EVEREREREQSoAm6iIiIiIiISAI0QRcRmNlJM/vM+ud7mNk7+s4kIiIi3TOzh5rZX5jZ9WZWmpmb2Yv6ziVyrhj2HUBEkvBpAP6p/vmzAfxDj1lERESkB2a2CeBVAL7B3f/OzH4QwCaAH+g3mci5Q5+gi5zjzOy+AG5x97K+6bMBvL3HSCIiItKPxwF4s7v/Xf372wHc3d29x0wi5xRN0EXkodg7If9caIIuIiJyLnow9h5FdzmAN/eUReScpAm6iHwOqsPXYGaXAngqdIi7iIjIueijqI6kg5l9OoCvBPDKXhOJnGM0QReRhwIozOxtAF4I4HoA39hvJBEREenBbwE4vz5Z7FUAnunuH+05k8g5xfSVEpFzm5m9B8Dl7n6q7ywiIiIiIucyfYIucg4zs+MAXJNzEREREZH+6RN0ERERERERkQToE3QRERERERGRBGiCLiIiIiIiIpIATdBFREREREREEqAJuoiIiIiIiEgCNEEXERERERERSYAm6CIiIiIiIiIJ0ARdREREREREJAGaoIuIiIiIiIgk4P8PHLrTevkUyv0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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" ] @@ -1667,7 +1715,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": { "pycharm": { "name": "#%%\n" @@ -1676,7 +1724,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1796,7 +1844,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": { "pycharm": { "name": "#%%\n" @@ -1805,7 +1853,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1929,7 +1977,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": { "pycharm": { "name": "#%%\n" @@ -1938,7 +1986,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2009,7 +2057,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": { "pycharm": { "name": "#%%\n" @@ -2018,7 +2066,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -2085,7 +2133,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": { "pycharm": { "name": "#%%\n" @@ -2095,614 +2143,41 @@ ] }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[36mBuilding:\u001b[0m 0.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 0.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 1.0s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 1.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 1.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 1.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 1.4s\n", - 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" from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:7,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/generalized_inverse.hpp: In function ‘Eigen::Matrix::type, EigMat::ColsAtCompileTime, EigMat::RowsAtCompileTime> stan::math::generalized_inverse(const EigMat&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/generalized_inverse.hpp:34:9: warning: typedef ‘using value_t = stan::value_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 34 | using value_t = value_type_t;\n", - " | ^~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.6s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun.hpp:321,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:7,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/tail.hpp: In function ‘std::vector stan::math::tail(const std::vector&, size_t)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/fun/tail.hpp:42:9: warning: typedef ‘using idx_t = stan::math::index_type_t >’ locally defined but not used [-Wunused-local-typedefs]\n", - " 42 | using idx_t = index_type_t>;\n", - " | ^~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 8.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.0s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 9.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.0s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.1s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:32,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/cholesky_decompose.hpp: In lambda function:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/cholesky_decompose.hpp:83:11: warning: typedef ‘using Block_ = class Eigen::Block, -1, -1, false>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 83 | using Block_ = Eigen::Block;\n", - " | ^~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:34,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/cholesky_factor_constrain.hpp: In function ‘stan::math::var_value > stan::math::cholesky_factor_constrain(const T&, int, int)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:32:9: warning: typedef ‘using T_scalar = stan::value_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 32 | using T_scalar = value_type_t;\n", - " | ^~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 10.9s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:74,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/generalized_inverse.hpp: In function ‘auto stan::math::generalized_inverse(const VarMat&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/generalized_inverse.hpp:64:9: warning: typedef ‘using value_t = stan::value_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 64 | using value_t = value_type_t;\n", - " | ^~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.0s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.1s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun.hpp:121,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/lub_constrain.hpp: In function ‘auto stan::math::lub_constrain(const T&, const L&, const U&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/lub_constrain.hpp:485:9: warning: typedef ‘using plain_x_array = stan::plain_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 485 | using plain_x_array = plain_type_t;\n", - " | ^~~~~~~~~~~~~\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/lub_constrain.hpp: In function ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev/fun/lub_constrain.hpp:565:9: warning: typedef ‘using plain_x_array = stan::plain_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 565 | using plain_x_array = plain_type_t;\n", - " | ^~~~~~~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 11.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.0s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.2s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/bernoulli_logit_glm_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:10,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp: In function ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:59:9: warning: typedef ‘using T_y_val = std::conditional_t::value, Eigen::Matrix::type, -1, 1>, typename stan::partials_return_type::type>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 59 | using T_y_val =\n", - " | ^~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:31,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_lpdf.hpp: In function ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_lpdf.hpp:50:9: warning: typedef ‘using T_partials_matrix = class Eigen::Matrix::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 50 | using T_partials_matrix = Eigen::Matrix;\n", - " | ^~~~~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_proportion_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:37,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_proportion_lpdf.hpp: In function ‘stan::return_type_t stan::math::beta_proportion_lpdf(const T_y&, const T_loc&, const T_prec&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:55:9: warning: typedef ‘using T_partials_return_kappa = stan::return_type_t’ locally defined but not used [-Wunused-local-typedefs]\n", - " 55 | using T_partials_return_kappa = return_type_t;\n", - " | ^~~~~~~~~~~~~~~~~~~~~~~\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/beta_proportion_lpdf.hpp:56:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 56 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/cauchy_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:63,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/cauchy_lpdf.hpp: In function ‘stan::return_type_t stan::math::cauchy_lpdf(const T_y&, const T_loc&, const T_scale&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/cauchy_lpdf.hpp:46:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 46 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/dirichlet_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:74,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/dirichlet_lpdf.hpp: In function ‘stan::return_type_t stan::math::dirichlet_lpdf(const T_prob&, const T_prior_size&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/dirichlet_lpdf.hpp:62:9: warning: typedef ‘using T_partials_vec = struct Eigen::Matrix::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 62 | using T_partials_vec = typename Eigen::Matrix;\n", - " | ^~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/double_exponential_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:91,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/double_exponential_lpdf.hpp: In function ‘stan::return_type_t stan::math::double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/double_exponential_lpdf.hpp:45:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 45 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:111,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/frechet_cdf.hpp: In function ‘stan::return_type_t stan::math::frechet_cdf(const T_y&, const T_shape&, const T_scale&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/frechet_cdf.hpp:32:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 32 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 12.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.0s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/multi_normal_cholesky_log.hpp:6,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:196,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp: In function ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:56:9: warning: typedef ‘using vector_partials_t = class Eigen::Matrix::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 56 | using vector_partials_t = Eigen::Matrix;\n", - " | ^~~~~~~~~~~~~~~~~\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/multi_normal_cholesky_lpdf.hpp:57:9: warning: typedef ‘using row_vector_partials_t = class Eigen::Matrix::type, 1, -1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 57 | using row_vector_partials_t\n", - " | ^~~~~~~~~~~~~~~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.4s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.7s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/ordered_logistic_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:248,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp: In function ‘stan::return_type_t stan::math::ordered_logistic_lpmf(const T_y&, const T_loc&, const T_cut&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/ordered_logistic_lpmf.hpp:79:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 79 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/poisson_log_glm_log.hpp:5,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:284,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp: In function ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:62:9: warning: typedef ‘using T_alpha_val = std::conditional_t::value, Eigen::Array::type, -1, 1>, typename stan::partials_return_type::type>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 62 | using T_alpha_val = typename std::conditional_t<\n", - " | ^~~~~~~~~~~\n", - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob.hpp:310,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim.hpp:16,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/rev.hpp:13,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math.hpp:19,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:4,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/skew_double_exponential_lpdf.hpp: In function ‘stan::return_type_t stan::math::skew_double_exponential_lpdf(const T_y&, const T_loc&, const T_scale&, const T_skewness&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/math/prim/prob/skew_double_exponential_lpdf.hpp:47:9: warning: typedef ‘using T_partials_array = class Eigen::Array::type, -1, 1>’ locally defined but not used [-Wunused-local-typedefs]\n", - " 47 | using T_partials_array = Eigen::Array;\n", - " | ^~~~~~~~~~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.8s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 13.9s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.0s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "In file included from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/indexing.hpp:7,\n", - " from /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/model_header.hpp:17,\n", - " from /home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:2:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/indexing/assign_varmat.hpp: In function ‘void stan::model::assign(Mat1&&, const Mat2&, const char*, const stan::model::index_multi&, const stan::model::index_multi&)’:\n", - "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/httpstan/include/stan/model/indexing/assign_varmat.hpp:329:9: warning: typedef ‘using pair_type = struct std::pair > >’ locally defined but not used [-Wunused-local-typedefs]\n", - " 329 | using pair_type = std::pair;\n", - " | ^~~~~~~~~\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp: In constructor ‘model_dmylm3fn_namespace::model_dmylm3fn::model_dmylm3fn(stan::io::var_context&, unsigned int, std::ostream*)’:\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:70:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]\n", - " 70 | int pos__;\n", - " | ^~~~~\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp: In member function ‘void model_dmylm3fn_namespace::model_dmylm3fn::transform_inits_impl(const stan::io::var_context&, VecI&, VecVar&, std::ostream*) const’:\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:240:11: warning: typedef ‘using local_scalar_t__ = double’ locally defined but not used [-Wunused-local-typedefs]\n", - " 240 | using local_scalar_t__ = double;\n", - " | ^~~~~~~~~~~~~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.1s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.2s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.3s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.5s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.6s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.7s\n", - "\u001b[1A\u001b[0J\u001b[36mBuilding:\u001b[0m 14.8s\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp: In instantiation of ‘void model_dmylm3fn_namespace::model_dmylm3fn::transform_inits_impl(const stan::io::var_context&, VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector >; VecI = std::vector; stan::require_std_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]’:\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:398:68: required from here\n", - "/home/rodolpho/.cache/httpstan/4.5.0/models/dmylm3fn/model_dmylm3fn.cpp:246:11: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable]\n", - " 246 | int pos__;\n", - " | ^~~~~\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - 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"Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_g_g9ofcx/model_2kktdlnt.stan', line 5, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_g_g9ofcx/model_2kktdlnt.stan', line 6, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_g_g9ofcx/model_2kktdlnt.stan', line 16, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_g_g9ofcx/model_2kktdlnt.stan', line 16, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -2710,25 +2185,17 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 8e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.8 seconds.\n", + " Gradient evaluation took 7.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.77 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.99 seconds.\n", + " Gradient evaluation took 7.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.76 seconds.\n", " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Location parameter is inf, but must be finite! (in '/tmp/httpstan_pdxo2ppp/model_dmylm3fn.stan', line 21, column 12 to column 75)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 0.00013 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.3 seconds.\n", + " Gradient evaluation took 8.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.87 seconds.\n", " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Location parameter is inf, but must be finite! (in '/tmp/httpstan_pdxo2ppp/model_dmylm3fn.stan', line 21, column 12 to column 75)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 0.000113 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.13 seconds.\n", + " Gradient evaluation took 0.000154 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.54 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -2785,7 +2252,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": { "pycharm": { "name": "#%%\n" @@ -2798,14 +2265,14 @@ "text": [ "Resumo das posterioris:\n", "============================================================\n", - "Media alpha: 154.6 - Desvio Padrão alpha: 0.278\n", - "Média beta: 0.902 - Desvio Padrão beta: 0.043\n", - "Média sigma: 5.102 - Desvio Padrão sigma: 0.19\n" + "Media alpha: 154.6 - Desvio Padrão alpha: 0.271\n", + "Média beta: 0.904 - Desvio Padrão beta: 0.042\n", + "Média sigma: 5.103 - Desvio Padrão sigma: 0.192\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -2907,6 +2374,7 @@ } ], "metadata": { + "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", diff --git a/_sources/parte_4.ipynb b/_sources/parte_4.ipynb index dd3885b..b14dd4a 100644 --- a/_sources/parte_4.ipynb +++ b/_sources/parte_4.ipynb @@ -55,12 +55,11 @@ "No capítulo anterior vimos como construir o nosso primeiro modelo de regressão linear, no qual estimamos a altura de uma pessoa usando a informação de seu próprio peso como um auxílio informativo. Temos, assim, como resultado do nosso modelo, a distribuição à posteriori dos parâmetros que foram estimados, $\\alpha$, $\\beta$ e o $\\sigma$.\n", "\n", "```{admonition} Modelo Linear Simples\n", - "\n", - "$$ altura_i = \\alpha + \\beta (peso_i - peso\\_medio) $$\n", - "\n", + "$$ altura_i = \\alpha + \\beta (peso_i - peso\\_médio)$$\n", "```\n", "\n", - "Das distribuições à posteriori dos parâmetros podemos pegar apenas os valores `\"precisos\"` desses parâmetros, ou seja, geralmente nós tendemos `pensar apenas com os valores esperados` (*`valores médios`*) da distribuição do $\\alpha$ e do $\\beta$ e, com isso, traçar uma linha reta com esses valores.\n", + "\n", + "Das distribuições à posteriori dos parâmetros podemos pegar apenas algum valor `\"preciso\"` desses parâmetros, ou seja, geralmente nós tendemos `pensar apenas com os valores esperados` (*`valores médios`*) da distribuição do $\\alpha$ e do $\\beta$ e, com isso, traçar uma linha reta com esses valores.\n", "\n", "Olhando para os resultados das inferências dos parâmetros, quando o **peso** está em seu valor médio, temos que $\\alpha$ significa o valor médio da altura! \n", "\n", @@ -219,11 +218,28 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -231,135 +247,58 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", + " Gradient evaluation took 4.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -64.3136, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -65.6543, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.3122, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0596392, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.57683, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.131824, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -3896.69, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.794021, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -113.93, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.39119, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.261618, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0595454, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.299937, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0101412, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -3.33756, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 4.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.\n", + " Gradient evaluation took 9.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.91 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.2881, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -16.6057, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.70914, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -415.627, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -11.6257, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.450696, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.91658, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.320576, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -243.969, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.140454, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.04061, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.118833, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.87287, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -4.94097, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.706553, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0752261, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 7.4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds.\n", - " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.752374, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0908322, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.16362, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0967392, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.11913, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.337304, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" + " Exception: lognormal_lpdf: Random variable is -1.23925, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n" ] }, { @@ -369,54 +308,57 @@ " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.190044, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.4448, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.12166, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.276438, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 8.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.82 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.88133, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.08426, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -25.6395, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00424713, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.43473, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.86419, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 6.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.67 seconds.\n", + " Gradient evaluation took 6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.626625, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.4294, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.116977, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -170.055, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.01218, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -5.27244, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.111223, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.506722, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.68259, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0100864, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.120647, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.105596, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.317085, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.155042, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] @@ -457,7 +399,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -524,16 +466,16 @@ "output_type": "stream", "text": [ " alpha beta sigma\n", - "0 154.360870 0.944639 5.354536\n", - "1 154.131615 0.873412 5.322818\n", - "2 154.479058 0.918762 5.221454\n", - "3 154.436962 0.965411 5.363426\n", - "4 154.566738 0.937755 5.368389\n", - "5 154.681667 0.911985 5.136587\n", - "6 154.479058 0.918762 5.221454\n", - "7 154.891228 0.900175 5.032155\n", - "8 154.284820 0.923382 4.890505\n", - "9 154.070089 0.976546 5.363431\n" + "0 154.546096 0.990010 5.183055\n", + "1 154.630627 0.919571 5.522559\n", + "2 154.297672 0.880644 5.117238\n", + "3 153.970984 0.905280 5.245877\n", + "4 154.415319 1.012177 5.186475\n", + "5 155.220709 0.828843 5.590288\n", + "6 154.610061 0.833036 5.068043\n", + "7 154.297318 1.017654 5.213467\n", + "8 154.686280 1.026647 5.156311\n", + "9 154.862340 0.929668 5.102898\n" ] } ], @@ -600,45 +542,45 @@ " \n", " \n", " mean\n", - " 154.438211\n", - " 0.927083\n", - " 5.227476\n", + " 154.553741\n", + " 0.934353\n", + " 5.238621\n", " \n", " \n", " std\n", - " 0.245714\n", - " 0.030409\n", - " 0.164009\n", + " 0.342682\n", + " 0.074520\n", + " 0.176323\n", " \n", " \n", " min\n", - " 154.070089\n", - " 0.873412\n", - " 4.890505\n", + " 153.970984\n", + " 0.828843\n", + " 5.068043\n", " \n", " \n", " 25%\n", - " 154.303833\n", - " 0.913679\n", - " 5.157804\n", + " 154.327084\n", + " 0.886803\n", + " 5.127006\n", " \n", " \n", " 50%\n", - " 154.458010\n", - " 0.921072\n", - " 5.272136\n", + " 154.578078\n", + " 0.924620\n", + " 5.184765\n", " \n", " \n", " 75%\n", - " 154.544818\n", - " 0.942918\n", - " 5.361203\n", + " 154.672367\n", + " 1.006635\n", + " 5.237774\n", " \n", " \n", " max\n", - " 154.891228\n", - " 0.976546\n", - " 5.368389\n", + " 155.220709\n", + " 1.026647\n", + " 5.590288\n", " \n", " \n", "\n", @@ -647,13 +589,13 @@ "text/plain": [ " alpha beta sigma\n", "count 10.000000 10.000000 10.000000\n", - "mean 154.438211 0.927083 5.227476\n", - "std 0.245714 0.030409 0.164009\n", - "min 154.070089 0.873412 4.890505\n", - "25% 154.303833 0.913679 5.157804\n", - "50% 154.458010 0.921072 5.272136\n", - "75% 154.544818 0.942918 5.361203\n", - "max 154.891228 0.976546 5.368389" + "mean 154.553741 0.934353 5.238621\n", + "std 0.342682 0.074520 0.176323\n", + "min 153.970984 0.828843 5.068043\n", + "25% 154.327084 0.886803 5.127006\n", + "50% 154.578078 0.924620 5.184765\n", + "75% 154.672367 1.006635 5.237774\n", + "max 155.220709 1.026647 5.590288" ] }, "execution_count": 10, @@ -758,11 +700,28 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -770,129 +729,124 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 2.5e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Gradient evaluation took 3.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.227204, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0844225, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.000511949, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.767766, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.123684, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.15184, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0925155, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0180554, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.2569, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.709642, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0234574, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.287924, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.358245, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.20643, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00502697, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.449664, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.583719, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.738741, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0620881, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.123993, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.60962, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.152655, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0611069, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + " Exception: lognormal_lpdf: Random variable is -0.00654261, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " Exception: lognormal_lpdf: Random variable is -1.58375, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.360246, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.77472, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -44.3743, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.837919, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.74953, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.8292, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.239235, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.278414, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.134652, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.956616, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.409492, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.980574, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.52525, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 2.2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.91738, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.27618, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.442576, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.973132, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0700891, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.151812, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0501985, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.343583, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00247273, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.384452, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.350995, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.114084, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.116426, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.892294, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -1.14247, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" @@ -902,279 +856,301 @@ "name": "stderr", "output_type": "stream", "text": [ - " Exception: lognormal_lpdf: Random variable is -0.105289, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -36.6047, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.516428, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.401514, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.910592, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -10.4822, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.293481, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.097188, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.411226, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0045072, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 6.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -7.85718, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.117589, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00867716, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -8.76088, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.19733, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.855519, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -23.5927, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.331748, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 2.3e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.00029, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0587056, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0974705, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.062417, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.191639, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.013242, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.375774, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.30407, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.549609, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.122977, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.625831, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.235059, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.367303, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " Exception: lognormal_lpdf: Random variable is -0.209898, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.141404, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0446323, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.3879, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00212482, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0662063, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.419809, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0741727, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.459997, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.345288, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.390479, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.39617, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.354127, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0626099, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.149768, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.138405, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.285763, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0122843, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.289701, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0102848, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.371279, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.69337, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.312029, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0854377, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.1366, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.350611, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.146709, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.361598, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.506625, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.72932, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.51855, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.102165, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -45.3429, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.393009, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.16722, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.927855, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.111306, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.764481, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0455639, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.22774, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.263376, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -4.29886, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.21824, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.409084, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.28488, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 2.4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.25683, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.930612, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.684764, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.153643, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0126621, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.168213, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.265621, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.56199, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0951262, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0507007, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0392218, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.000872443, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.702123, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.269117, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.029581, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.025301, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0448215, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" + " Exception: lognormal_lpdf: Random variable is -0.430292, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.143145, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.206063, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.04582, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0498829, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.436446, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.168781, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.039353, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.201069, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.23732, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0157955, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.89714, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.344092, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.948604, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0224193, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.146042, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0899404, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.03314, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0956446, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.468973, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.130953, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.531767, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0891335, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -3.77444, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.290277, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0420559, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -51.9082, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -10.063, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.663284, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n" + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n" ] }, { @@ -1188,67 +1164,67 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 6e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -21.2801, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -48.662, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -22.6208, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.30266, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -4.55382, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.396718, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1792.32, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.254275, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -50.7138, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0288148, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00249112, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0987326, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.212352, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.476862, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0108052, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.487516, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0864846, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.1748, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.10537, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.36935, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.031627, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0435175, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.15112, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0513706, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.13922, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.13034, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.243288, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.110465, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.486568, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.228677, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" ] }, @@ -1258,143 +1234,139 @@ "text": [ " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.019962, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.21922, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.139379, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.58251, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.59676, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.23302, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.834266, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -135.825, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 6e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -5.99449, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.98897, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -7.31206, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.240538, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.385746, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.132873, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -328.563, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.117755, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.29203, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.109705, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.953133, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -14.7169, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0699158, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.301306, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0348351, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.59701, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.465792, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -9.60545, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0411083, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + " Exception: lognormal_lpdf: Random variable is -0.203695, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.535966, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -123.423, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0685642, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.51816, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.339128, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00509876, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.323387, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0761212, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0376235, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.623557, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.122306, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.153639, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.281825, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.120916, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.27137, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.129733, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0647836, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0523587, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.251365, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.445291, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.184834, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.472035, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 1.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.06428, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.056126, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.108342, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.243978, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0488032, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.463873, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -9.12083, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.116687, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.594053, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.3232, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" ] }, @@ -1404,66 +1376,66 @@ "text": [ " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.149757, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.06661, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0864976, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.111333, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0118698, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.323544, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.135855, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.793673, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0815257, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.12742, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.89543, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -174.854, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.458107, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.3152, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.07981, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.382928, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.637608, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.121658, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.181461, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.109625, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0645733, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00749996, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 6e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.194073, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.122023, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -118.414, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0618121, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -5.57228, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.164534, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.261878, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0507915, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" @@ -1473,146 +1445,158 @@ "name": "stderr", "output_type": "stream", "text": [ - " Exception: lognormal_lpdf: Random variable is -0.49373, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.146024, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.857535, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.286707, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0447367, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.155134, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.239398, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.313672, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.481787, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -20.101, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.14808, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.832944, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00801933, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.42587, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.077822, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -9.66501, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0603563, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0785009, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.629329, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.024707, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.259476, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.50448, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.78179, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -6.1975, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", - "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", - "\u001b[36mSampling:\u001b[0m 0%\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", - "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", - "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 1.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", - " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.34633, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -1.3752, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0522511, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.89216, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -4.69509, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.801262, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.78125, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.623291, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.62913, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.261998, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.1709, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.07361, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -7.74601, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.153014, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.537493, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 3.8e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.49802, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.483339, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.26815, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.582659, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.149394, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.711021, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.32738, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.189418, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.455451, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.459492, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.75977, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.048058, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00998611, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.757075, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.11707, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" + " Exception: lognormal_lpdf: Random variable is -4.99353, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n" ] }, { @@ -1621,92 +1605,118 @@ "text": [ " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 1.4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.125996, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.98668, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -40.0023, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -71.8961, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.448798, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.121862, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0240027, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.115543, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.100708, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.126406, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.146627, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.221221, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.94444, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.136246, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.189179, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.3364, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.102488, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -26.9031, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.00645886, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.438052, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.655661, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.252769, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.13007, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00687817, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.54448, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0196516, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.2799, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.480187, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.171954, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " Exception: lognormal_lpdf: Random variable is -0.108322, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.0931483, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.0262864, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -2.7738, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.120516, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -7.14876, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_gkf88i04/model_pbtdjnye.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_56faqn6p/model_66wsz7lg.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -1714,192 +1724,124 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 2.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -64.3136, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -65.6543, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.3122, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0596392, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.57683, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.131824, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -3896.69, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.794021, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -113.93, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.39119, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.261618, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0595454, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.299937, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0101412, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -3.33756, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.91658, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n" + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " Gradient evaluation took 1.5e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", - " Adjust your expectations accordingly!\n", + " Exception: lognormal_lpdf: Random variable is -243.969, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -15.2881, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.04061, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -16.6057, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.87287, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.70914, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.706553, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -415.627, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.23925, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -11.6257, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.4448, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.450696, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.276438, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.320576, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -1.08426, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.140454, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.00424713, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.118833, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -3.86419, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -4.94097, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -2.4294, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0752261, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -170.055, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 1.6e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.752374, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -5.27244, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0908322, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.506722, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.16362, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.0100864, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0967392, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n" + " Exception: lognormal_lpdf: Random variable is -0.105596, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.11913, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.337304, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.190044, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.12166, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.88133, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -25.6395, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.43473, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", - " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.626625, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.116977, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.01218, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.111223, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -2.68259, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.120647, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.317085, but must be nonnegative! (in '/tmp/httpstan_vix_tdsq/model_pbtdjnye.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -0.155042, but must be nonnegative! (in '/tmp/httpstan_guqnxlg4/model_66wsz7lg.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] @@ -1950,7 +1892,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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aGGj+3YrWL8gu4vastx53Qmv92xscz+r3+dZzYPX7yWbnzFptW7n/A8AngINa6z7gv/PSY9yoLVuxm8+tdf8W9/OhCtzc8rz2abdApBBiiyRZF8K/ZnHnYq74JHCdcotLhZr/XrFOD02rDwD/FDchONFyewooACWl1A00e4ZW01rbuEnGbymlUs2k5//G7XlBKfWgulIcK497IbTeRW3bKKUGlVvo5/8D/qPWOrfZ3+Aexy8opQ4opQZwe7tWhIEI7rBbS7nF/jZbwmy0ub2QUupB3Lmen9JaX8TtkfsPSqmoUupluD1QK8/ZjyulRpoX/0vNbTnNfTtc/br/d9wCejc3/7avua9Nbfba7cBJ4G1KqXuVWzjuN7j6c2pLMdXy2DpuIhTHTRbWMwsMqZY5w7i9nm9txsE4bs/fRla+DJkHtygTaxQu3IavATXgXzZf4wTu/M8ncHvSw8pds75Pu4XYClw5L1K4F8lLyq1x8Gvb2O9mr8EHgX+jlBpR7hzoX2Xnr/eONXtWjyqlfh93KPG/3cFmvo6bbPy2UirRfJ5X5nB/EPjnzX0kcePnoXV64bfb9inlFjFUSql7gF+h+RoppUaVUj+mlEo2j/H7cWsjfH7VNkaBn+dKYb2zwBuabb0Lt07Ean8F3KyU+pHmFxS/wNVfQu34vWALUkAJWFbuHPF/0XIs1yul3thMDGu4ses071vvvWzL53dztNcTwL9tnjf34hb5W/F+4IeUUt/ffM6jyi0Ud2DNDbp+vvk+P4g7J32jwqdbOWdW2vZa3PnhK5+lKdxRVDWl1N24X1Ks9ivKHU1zM+6c8u0WYd3N59aHgfcqpW5qfrF3+b2m+Zr9T9w57qNwOfa/f5vtE8LXJFkXwr9+D3hAudVs/1tzSPWbcQvLZXGHyf5H3A/qjXwQt7DYF/TVRaB+EffCooj7gb3RBcQ/we3JPIO7VNMHcOfCAbwC+JpSqoTbw/BP9Q7X+N6ibzb39SLwD4B/rrXeakGc/4k71/GbuAWPPrpyR/P5/QXci5s87nPziU229zXcoj0LuENnH2j50uA9uL1JWeBh3NoCn2ve9xbg283j+D3gx5q9eZXmdr6q3GGJ92itH8Z9nT+k3OGkz+KOlNiqjV67bdFafxs3AfkAbhKVx51Tu2I7MfU+3B7oDPAd4PEN9vscbhyfaT4vk8D/wX0dz+EWONzwArg5yuQ/A4/hJv+34s5L3hHtVgP/QZpz5XGf30ngXS1TI/4v4Fzzdfs53Gkr4M5rjeHGzeO4Q0+3ut/NXoPfxE18voXbg/tU87a98qpmXBdw592mcQuTPbPdDTW/bPoh3Pm1F3CP893Nu/8UNwa+jJsI13BjvR2O437ZVsatdv8vtdafXWkW7pdQl3Cf+9/Bnfe9+r3id4Df0FqXmr//B9xinxeBv9RrLOHWfH9+EPdLnxzue8tXW+7f7XvBRv4t7hJ1y7hfGny05b5Is00LuJ87o7hL1ME672Vs4/xu+ju4xfAWcRPK963c0fzy8+24I3XmcZ/Df8HG18gfwH1fOIM7J32jc2Czc2YG97XO4hbJ+7nmexK49SR+QylVxE3yWwvsrXgE9/Pq88DvtMTSVu34c0tr/Wnc95svNNuwUuRyxS81b3+8GVOfwx31I4TYInX1dEghhBDdQCn1XtwCQPfud1uEEEK4lFLncN+bP7fZY4UQYrekZ10IIYQQQgghhOgykqwLIYQQQgghhBBdRobBCyGEEEIIIYQQXUZ61oUQQgghhBBCiC4jyboQQgghhBBCCNFlgvvdgN0YGBjQk5OT+90M0eWUUgDIlA/hRxL/wq8k9oWfSfwLP+u1+P/Od76zoLUeWeu+nk7WJycneeihDZe+FYJg0A1zy7L2uSVC7D2Jf+FXEvvCzyT+hZ/1Wvzfeuut59e7r6eTdSG2ole+VROiEyT+hV9J7As/k/gXfual+Jc568LzAoEAgUBgv5shxL6Q+Bd+JbEv/EziX/iZl+JfetaF59m2vd9NEGLfSPwLv5LYF34m8S/8zEvxL8m68LyVIhNC+JHEv/AriX3hZxL/ws+8FP+SrAvP89IJK8R2SfwLv5LYF34m8S/8zEvxL8m68DzHcfa7CULsG4l/4VcS+8LPJP6Fn3kp/qXAnPA8wzAwDAl14U8S/8KvJPaFn0n8Cz/zUvxLz7rwPC8t3yDEdkn8C7+S2Bd+JvEv/MxL8S/JuvA8L52wQmyXxL/wK4l94WcS/8LPvBT/3hgfIMQGvLTWohDbJfEv/EpiX/iZxL/wMy/Fv/SsC8/z0lqLQmyXxL/wK4l94WcS/8LPvBT/0rMuhBBCCCGEEEJ0GUnWhed5aSiMENsl8S/8SmJf+JnEv/AzL8W/DIMXnueloTBCbJfEv/AriX3hZxL/ws+8FP/Ssy48z0trLQqxXRL/wq8k9oWfSfwLP/NS/HvjKIQQQgghhBBCCA+RYfDC8xzH2e8mCLFvJP6FX0nsCz+T+Bd+5qX4l5514XleKjIhxHZJ/Au/ktgXfibxL/zMS/EvPevC87xUZEKI7ZL4F34lsS/8TOJf+JmX4l+SdSGEEEIIIYQQ+0JrzeLiMtWqxjAUSikCAYVh0Pzf/RcIuPdt9s9LJFkXnrcyDMZL37IJsVUS/8KvJPaFn0n8i17hOA6ZzDxPPTVFJpMiEHAwDI1SDobhoJRu/u/eHgzaBIMOwaAmEHCa/+yWnx3i8SATE6NMTZX2+/B2TZJ14XnyQSX8TOJf+JXEvvAziX/RCyzL4uLFHI8+eg2lUpSREYsrJdVeOudca/efZUGjAVortAbHufKz+3uQSqXO1NSeHk5HSLIuPM9rw2GE2A6Jf+FXEvvCzyT+Rber1+tcuLDM5z9/A8FggOFha9O/Ucr9B+AOHtEt9175WWtNMOiNc0CSdeF58oEl/EziX/iVxL7wM4l/0c3K5TLnztX53OduYmDAIRZr70gQw7iS1Pc6SdaF53lprUUhtkviX/iVxL7wM4l/0a3y+WVOnw7w5S9fz/i4TSikN/+jbWo0NKbZ/u3uB0nWhedJkRXhZxL/wq8k9oWfSfyLbqO1Zm5uke9+t49Tp6aYnGzQqaXQo1GDSMTY/IE9QJJ14Xny7bLwM4l/4VcS+8LPJP5FN3Ech2x2gVOnJjl7dpCpqUZHh6m7PeveOAckWReep7U3hsEIsRMS/8KvJPaFn0n8i25h2zYXLszz1a8ep1CIMzFhdnyfjqPxyvdVkqwLz5OhYMLPJP6FX0nsCz+T+BfdoNFocP58ni984UYCgUBzabbOi8cNolEZBi9ET5APKuFnEv/CryT2hZ9J/Iv9VqlUOHeuyuc+dzN9fZp4fO9islJxqNW80bUuybrwPFm+RPiZxL/wK4l94WcS/2I/LS0tc+aMwZe+dCNjYxbh8N5OywgEFIGAN84BSdaF58kHlvAziX/hVxL7ws8k/sV+0FozP7/Ic8+lefLJAx2t+L6RYFDty347QZJ14XlSEVX4mcS/8CuJfeFnEv9ir2mtyWTm+da3JnjhhaGOV3zfSL3u0Gh4o8iiJOvC8wzDLTAh87eEH0n8C7+S2Bd+JvEv9pJt21y8uMBjjx1lcTHB5GTnK75vJBIxCIe9MbpEknXhebJ8ifAziX/hVxL7ws8k/sVeaTQaXLiQ54tfvB4IMjq6NxXfN2JZGq98TyXJuvA8+cASfibxL/xKYl/4mcS/2AuVSoXz5yt87nM3k0ppEonuyJBtW2Pb3jgHJFkXnidrjQo/k/gXfiWxL/xM4l/sltYa27axLItGw6RSManVHCxLYZqKRkNRKMR44ombGB3d+4rvG5F11oXoIfJBJfxM4l/4lcS+8DOJf7EZx3EwTRPTNKlWLapVC9NUl/9VqwblcohCIUY+30+tFsU0Q4DCcSAQ0ITDmokJs+sqr8s660L0EFm+RPiZxL/wK4l94WcS/6KV1ppqtUouV6ZYDFCpGFSrQQqFGEtLKcrlKI1GGK0NtAalIBRyCIfdhDwe1yQSAPs/H30rDENheKNjXZJ14X2GV85WIXZA4l/4lcS+8DOJf9GaoBcKBufPD3L69CEcx2gm4W4yHgppBgYA7Oa/3hcOK0Ihb5wDkqwLz5OhYMLPJP6FX0nsCz+T+Pen9RJ0rQ1SKZuxMRulvB8btZpDvS7D4IXoCbLWqPAziX/hVxL7ws8k/v1jrQT9xRcPAf5K0Fu5PevemAoiybrwPFm+RPiZxL/wK4l94WcS/962OkE/d26QM2eu9KCPj/svQW/lOOCVU0CSdeF58oEl/EziX/iVxL7wM4l/79FaU6lUWFyssLzs9qC3Juh+7EFfj2VpLMsb54Ak68LzZK1R4WcS/8KvJPaFn0n89z6tNY1Gg1qtTqHQYHlZNRP0w5Kgb0LWWReih8gHlfAziX/hVxL7ws8k/nuH4zjU63Wq1QblskmtpqjXFeVygMXFBHNzoywvJ/HzHPTtqlSkwJwQQgghhBBCiC2wbZt6vU6l0qBctqjXFbWaQakUJJdLMjc3TLUaxXEMQBGJOESjmmjUIR73zrJqe0EpbxSXA0nWhQ/IUDDhZxL/wq8k9oWfSfzvH601tVqNQqFKpeLQaBhUq4pCIczCQpKFhTHq9SjgJpTRqEM06pBKadJpB/BGj/B+isUUkYgMgxeiJ8gHlfAziX/hVxL7ws8k/vdeo9FgcbHA0hJcvNjP6dMTmGYIrRWGoYnF3J7y/n6NUtZ+N9fTKhWHWs0bX3pIsi48T9YaFX4m8S/8SmJf+JnE/96wLIt8vsDSksPMTIJnn72WRiNEMmkzOOhIUr5PQiFFMOiNofCSrAshhBBCCCHEFjiOw/JykcXFBrlcjGefPUyxGCMadRgctDEMc7+b6HtKuf+8QJJ14XmO441hMELshMS/8CuJfeFnEv/tpbWmVCqRy9XI58N897tjzM+nCYU0AwMWqZQk6N2k0dCYpqyzLkRPkCIrws8k/oVfSewLP5P43z2tNdVqlVyuzNJSgBdfHObChWMEAor+fovJSUnQu1UsJuusC9Ez5INK+JnEv/AriX3hZxL/O1ev18nliiwvK86f7+eFFw6htUFfn83kpMxB7wX1uqbR8MboEknWhRBCCCGEEL6ltWZxcYlczmZ6OsW3v30tpukWihsbs1FKvvzoJY6j8cpMEEnWhefJUDDhZxL/wq8k9oWfSfxvXalUYnq6wtNPHyKTSROPOwwNSaG4XhaPyzB4IXqGfFAJP5P4F34lsS/8TOJ/c/V6nenpJV58cZhnnz1KX5/D1JQk6F4g66wL0UOUV9ZuEGIHJP6FX0nsCz+T+F+fbdvMzCySzcZ4/PGbCYUUk5OWZ5b6EhAMyjrrQvQM+cASfibxL/xKYl/4mcT/S2mtyeXyzMzA449fQ60WZmTEojljQHhIIKAwvDEKXpJ14X2y1qjwM4l/4VcS+8LPJP6v5s5Lr3Lq1EGy2TTDwxZ9fVLZ3avqdYdGQ9ZZF6InGM2v1mT+lvAjiX/hVxL7ws8k/l1X5qWP8MwzR+nvl3npfhCNGkQi3hhdIsm68DytvfHNmhA7IfEv/EpiX/iZ3+N/ZV56JhPn8cdvJhxWTE3JvHS/ME2NZXnjHJBkXXie3z+whL9J/Au/ktgXfubX+G+dl/7YY9dSr4cYHZV56X5j2xqvDCqRZF14nqw1KvxM4l/4lcS+8DM/xn+xWGR6usapUweZmXHnpff3y7x0P5J11oXoIX76oBJiNYl/4VcS+8LP/BT/K/PSX3hhhGefPUZ/v8PkpMxL9zNZZ12IHiLLlwg/k/gXfiWxL/zMD/Ev89LFegIB5ZmpDx1L1pVSfwq8DZjTWt/SvO124L8DUcAC/pHW+uvKfUf5PeCtQAV4r9b6qU61TfiLHz6whFiPxL/wK4l94Wdej/9CoUg2W+dv//YaKpWwzEsXVwmFFMGgN86BTg7m/zPgLatu+0/Av9Va3w78avN3gB8Arm3++xngjzrYLuEzjuPIeqPCtyT+hV9J7As/82r8W5bFhQtzPPFEnE9/+maCwQBjY5Koi6vVag71ujeKLHasZ11r/WWl1JHVNwPp5s99QLb589uB92m3dOXjSql+pdSE1np6o30opQgEAiilUErhOA6GYaC1RmtNIBDAtu1N7wcu/7yyLqXjOGve37qtQCCA4zjb2len2rKTfSmlMAzj8r72sy2dfA1Wiqz47bgl9rrzNdjr4155jzRNU2JPYs9Xx72ybcMwJPYk9nz3vhcMBjEMg3q97onXwDAMcrlFslmLb3/7JkolgxtusAgGDRoNTTisWKkAHosZVKsOhuH2sNbrmlBIobXGsq7crxREIopaTRMMKpRyl/yKRt2/0frKYwMBd2h1o6GJRBSmqXGctfe1Vlta9+W2BSzr6n1Foyttofm5vfa+WtvSjuOGl7Zl5bGdasvKsXbqNYhEgvT3u3HVK+9769nrOev/DPiMUup3cHv1X928fQq42PK4S83bXpKsK6V+Brf3ncnJyU62VXiI9ukSJkJorVHKG0PBhNgOed8XfraSHHhBo9Egm13kxRfHOX16mIMHHaJRG/loE+txHDeR9wLVyRNZuT3rn9RX5qz/N+ARrfVHlFLvAn5Ga/0mpdQngd/WWj/afNzngV/SWj+x0fZvvvlm/dBDD3Ws/cIbAgH/LV8ixAqJf+FXEvvCz7wQ/1q7a6ZnMgG+8pVjBIOKoaHePR6xd0wzyIEDJq973dJ+N2VLbr311ie11netdd9e96z/JPBPmz+fAP5X8+cMcLDlcQeatwmxa174wBJipyT+hV9J7As/6/X4r9frXLq0xLe+dZALF/oZHTUJyhpWYou8tM76Xh9FFriv+fMbgReaP38C+AnlugdY1pvMVxdiq2zb7tkPKyF2S+Jf+JXEvvCzXo1/rTWzszmeeabBJz95M7lcmslJSdTF9sg661uglPog8HpgWCl1Cfg14KeB31NKBYEazbnnwKdwl217EXfptr/XqXYJIYQQQgghukulUiGTKfGNbxxhYSHJ2JhJQKq8ix0wDMUmddt6Rierwb9nnbvuXOOxGvj5TrVF+FuvDwUTYjck/oVfSewLP+ul+Hcch5mZHOfPJ3n88Zvp73eYmDD3u1miR5VKBpVKiFhsv1vSHjKoRHheL3xQCdEpEv/CryT2hZ/1SvyXSiUymSqPPXaMUinK5KTlmR5RsXdMU7GwEOTixTDFokEwGMAweuMc2Iwk68LzVtYv7JUPLiHaSeJf+JXEvvCzbo9/y7KYnl7k9OlBTp06xtCQxdiYtd/NEj3EcWB5OUA2G2JuLoTWEIk49PfbhEKKcNgba/tJsi6EEEIIIYToKK01lmVRKpWZnrb56levo9EIMTVlyprpYssqFYPZ2SCXLoVpNBShkCaZtK8akdHBlcn3nCTrwvMcxxvVIIXYCYl/4VcS+8LP9jr+tdY4joNpmjQaJpWKRa1mY1kK01TU64pqNUCpFGF+fozZ2T5GRiz6+6U3XWzONCGXcxP05eUAhgHxuE08vvbj63VoNLyRsUuyLjyvl4qsCNFuEv/CryT2hZ+1O/4dx8GyLEzTpFo1qVZtGg13rrBpKmo1RbkcZnk5Rj7fT60WxTRDzR5ORSCgCYU04bAmHHY4cEAKyImNae0Oc5+eDjEzE8JxIBp16OuzNx2JkUopEglvFD+QZF14nlyoCT+T+Bd+JbEv/Gw38e84DrVajUKhRrnsUK0aFAohlpbcRLxcjtJoRACF1gqtIRx2mom4Jh7XJBIA0msutq9aVczNhbh0KUy97n7Rs3qY+2bKZU2l4o3RVZKsCyGEEEII4UOO41Cv1ymVahSLNrWawfJyiJmZPmZmprCsIKCIRh0iETchHxgAkC/DRPvY9pVh7vm8O8w9FrPp69vZ9mTOuhA9RIZCCj+T+Bd+JbEv/Gyt+NdaNxPzKqWSTbWqKBZDzMykyWbHm73lbkXtRMJheFgjveOik4pFg5mZENlsGNt2R2hsZZj7ZpJJRTwuw+CF6AlyoSb8TOJf+JXEvvAzy7Ko1+sUi2WKRYtqVVEqBZmdTZHNjlCrRdFaEQ5rEgmbwUGNUjKPXHSeadJcEz1CqWRgGJp43Kb5/VJbFIuaclmGwQvRE5SsByJ8TOJf+JXEvvAjrTWlUomFhTrZbD/PPz9FuRxHa3eJq3jcoa/PkSrsYk9pDYWCWyxuetotPLhSLK4TwmEIhbzxGSDJuvA8uWATfibxL/xKYl/4TblcZmamzIsvjjA7e02z0JtJKiWJudgfjYZibi7IhQthqtUAwaCz7WJxO2EY7HoofbeQZF14nqy1K/xM4l/4lcS+8ItqtcrMTJGzZwf55jePkEhopqbcBL1S2efGCd/RGpaWAmSzIWZnQyjl9qLv5WiOWk3WWReiZ0iRIeFnEv/CryT2hdfVajVmZgpcuNDHU0/dTDQKU1MWSkEk4sa/JOtir9RqK73oERoNRTCoSaU634u+lmQS4nFvdK1Lsi48T3pXhJ9J/Au/ktgXXtVoNJiZWebSpSRPPHEToZBictK6ativaXqjV1F0N8eBfD7IpUshcjk3rYzHbWKx/W1XLneesbGR/W1Em0iyLjxPe2mxRSG2SeJf+JXEvvAa0zSZnV0im43x9a/fgFIGY2PWmj2X8l2V6KRy2WB21l0X3bLc4oXp9O6XXNuNRiNHNvsxstkTlEqnGR//JJDcvwa1iSTrwvNkKKTwM4l/4VcS+8IrLMtibi7PzEyEr33tOmw7xPCwSSCwfkYei7kZfKUiWbtoD9OEXC7IxYthCoUAhgGJRHuXXNsu264wO/tpMpmTLC4+xujomzh+/J9z5Mj3c+CABrL717g2kWRdeJ5cqAk/k/gXfiWxL3qdbdvMz+eZmQny9a9fS60WZmTEJBjcfD30alWSdLF7WsPysrvk2syMu+RaJOLQ379/76+OY5HLfZlM5gSzs3/NwMCdTE4+yB13/DHBYAqAUilIuVzftza2kyTrwvNk+R7hZxL/wq8k9kWvchyHhYU8s7OKb3zjGKVSlOFhi4GBzZP0FfvZ2yl630qxuIsXI9TrikBA78mSa+vRWrO8fIpM5gTT0x8jGp1iauoBbrjh14lGx17y+FAIgkFvfAZIsi48Ty7YhJ9J/Au/ktgXvcZxHBYXl5ib03zjG4dZWoozNGQxMbH1JH1FICDxL7bHtq8Ui1tcDKIUxGIOfX37N0qjXD5DJnOCbPYjaO0wNfUA99zzlyST12z4d8Gg+88LPHIYQqxPKgILP5P4F34lsS96heM45HJLzM87PP30QebmUgwNWUxObj9JX+GVNaZF55VKBjMzITKZMLbNvheLq9fnyWYfJps9QaVygcnJd3LbbX9If/+dW/4StlqFWs0b54Ak68LzjOaYHZm/KPxI4l/4lcS+6Ha2bTeTdDh16hC5XIL+fpupqZ0n6SvCYTepkXXWxVoaDUUuF+TChTClkkEg4C65tl/TJyyrxMzMp8hmT5DPf4Oxsbdw7bW/xPDw6zGM7aer8ThEo94YXSLJuvA8Wb5H+JnEv/AriX3RrdzCcUvMzyueesod7j44uLue9JfuQ+JfXM1xYGnJLRY3OxsCIBrdv2JxjmOysPAlMpkTzM19loGBVzI19W5e/vI/IxhM7GrbpgmW1aaG7jNJ1oXnyQWb8DOJf+FXEvui21iWxfz8EnNzAZ588iilUrTtSfoKGVAiwK3mvrImeibjrokeDGpSqf0pFqe1ZmnpG2QyJ5me/hjx+FGmph7kppv+PZHIcNv24ybr3vgMkGRdeJ6stSv8TOJf+JXEvugWpmk2k/QQ3/jGcarVCENDFqlU+5P0FbLOur/V64r5eTdBL5cNDANiMZvE7jqsd6xU+t7lQnFKhZiaeoBXv/ozJBJHO7K/dFqRSOxT6fo2k2RdeJ5cqAk/k/gXfiWxL/abaZrMzi4xNxfhG9+4jkYjxNCQRX9/55L0FbLOuv9YllvNPZNxq7nDSjX3/XkvrNVmyGY/SiZzgnp9lsnJd/Lyl/8p6fRtHV+to1DQlMveOAckWReeJ8v3CD+T+Bd+JbEv9kuj0WB2dpmZmSjf+Mb1OE6AoSGLYLDzSfqK/VoPW+wtrWF5OcDsbJDp6TCOA+Gws2/V3E2zwMzMJ8lmT7C09DTj42/lxht/jaGh16LU3lWvCwTYt2J57SbJuvA8uWATfibxL/xKYl/stXq9zuxsgenpON/4xg1AgOFhk0Bg7ytdhUIS/15WqRjMzwe5eDFMo6EwDL1v1dwdp8Hc3OfIZk8wP/8Fhobu5dChn+Suuz5AIBDb+wYB0eiVFRF6nSTrwvNkrV3hZxL/wq8k9sVeqdVqzM4WyGRSPPnkjRiGYnjYIhDYvxis171RXEtcsbLcWiYTYnk5cHkeemwf8mGtHfL5r5HJnGB6+hOkUtczOfkgt9zyXwiHB/a+QauUy1CteuMckGRdeJ6stSv8TOJf+JXEvugUrTW1Wo2lpQqlkmZmJsWpUzcRDCpGR62uGIIuPevesLLcWiYTZn7eTdsikf1bbq1Y/A6ZzEmy2ZMEAkmmpt7Fvfd+kXj84L60Zz2xGEQi3jgHJFkXnifL9wg/k/gXfiWxL9pFa029XqdQqFAoOJRKATKZfs6fn8Q0Q4TDmrGx7kjSV0j897ZKxV1u7dKlMKa5v8utVauXLheKM808k5M/yl13fYBU6uaunG7kOFCvG3jlFJBkXXiefGAJP5P4F34lsS92SmuNaZoUCmUKBZtSyWB6Os25c0ep1yMYhiaVchgedlBq74rGbYe199PkxS5ZFiwuugl6Ph+8PA89Ht/7tpjmMtPTHyeTOUmx+G3Gx9/GzTf/BwYHX41SXfStVJNtQ7VqYNsKw4DxcZOJifp+N6stJFkXnidr7Qo/k/gXfiWxL7bDNE2KxTKFgkWpZDA3l+DMmUNUKjGUgmTSZmCge5Pz1WSd9d6gNRSLBjMzIbLZMLbtDnPv67P2vJq7bdeYm/ssmcxJcrlHGB6+jyNHfprR0TcTCET2tjFbYFlugu44ikBAMz5uMjJi0ddnE42GGR7e7xa2hyTrwvPkQk34mcS/8CuJfbER27YplcosLdUplw1yuRhnzkyyvJxAKYjHHVIph76+3kjOV5N11rtbo6EuV3OvVIx9q+autUMu91Wy2RPMzHySdPpWJicf4Lbbfp9QqG9vG7MFpgnVagCtIRTSTE25CXo6ffUUgUrFoV73xjkgyboQQgghhPAsx3Go1+uUyzWKRZtazSCfD3PmzAiLi2lAEYs5pFI2ExPeGD/ehVOJfc9x3DXRs9kQs7MhAGIxh76+vf1iUWtNofAs2ewJstmPEA4PMTn5IK997VeIxab2tC1b0WgoajV3DnokojlypM7QkEUq5awb5904l36nJFkXnidDIYWfSfwLv5LY96e1EvNiMcjsbJpsdoxGI4LWikjEW8n5aiuVsMvlfW6IoFpVzM2FuHgxTL2uCIX2p1hcpXKRbPYkmcwJbLvM5OQD3H33SVKpG/e2IZvQGup1dblIXDLpcPx4jaEhm3h8/QS9VTSqiES6b279TkiyLjxPLtSEn0n8C7+S2Pe+rSbm4bBDPO4wMKBRypvJ+Wq1mhRY3E+2vVIsLsTiYnDf1kRvNBabheJOUCp9j4mJt3Prrf+FgYG7u6pQnNZQqykaDTdB7+uzOXKkxuCgRSy2/ViuVh1qNRkGL0RPkLV2hZ9J/Au/ktj3FknMtycY9M4w4F5SrytmZkKcP+8uueYWi7P3dFqCbVeZnf1rMpkTLC5+lZGR+zl+/J8wMnI/hhHeu4ZsojVBBxgYsDh+vM7goE0ksrsvm0Ih5ZlzQJJ1IYQQQgjRdbTWVCoV5ucrLC6GyGT6ViXmblEuvyfmYv8ViwaXLoWZng41CxTaJBJ7t3+tbRYWvkw2e5KZmU/R338HU1MPcvvt/51QKL13DdnEWgn6Nde4CXo4LKNB1iLJuvA8x/HGMBghdkLiX/iVxH7vsiyLxcVlFhc1Z84M8cILRwgEFOm0JYn5FlmWJD6d5jjuUPfz58MsLQUIBPZ2LrpbKO6bZDIfJpt9mGh0gqmpB7n++l8hGh3fm0ZswX4k6KapPXMOSLIuPE+KDAk/k/gXfiWx31u01pTLZRYWqszPR/jmN49SqURJJNwicB4q7rwnolH3CatU9rkhHmSaitnZIOfORajX936oe7l8tlko7iRam0xOPsA993yCZPLavWnAFux3D3osZhCNds+c/N2QZF14nlyoCT+T+Bd+JbHfG0zTJJcrkM9rXnxxlDNnjhIMwuCg1bNrnHeDet0bvYrdpFw2yGRCZDJhtIZ43CEW25sRPPX6AtPTD5PJnKBSOcfExDu57bY/oL//rq5Zpmx1gj44aDE+vj9D3Gs1LeusCyGEEEIIsV1aa4rFEgsLNebnY3zzm8epVsOk0zaTkzLEvR205OptoTUsLQU4fz5MLhciENAkEjbNgTsdZVllZmc/TSZzgnz+a4yOvplrr/0XDA+/HsMIdb4BW9BNCfrV7fLOCSDJuvA8GQop/EziX/iVxH73aTQazV50xfe+N8r584MEgzA0ZDEwIL3o7RSLuclTpeKN3sW9ZlkwPx/i3LkwlYpBOKzp6+v8dAzHsVhY+CKZzEnm5j7DwMDdTE09yMtf/icEg8nO7nyLtIZq1aDRUCjVPQl6q3jckHXWhegVcqEm/EziX/iVxH53cItgFVlYqDM7G+eb37wW0wxJL3qHVauSpO9EtaqYng5x8WIEy3KHuvf3d/a9RGvN0tITZDInmZ7+GPH4ISYnH+Smm36TSGSko/veKseBWs3ANK8k6BMTJv393ZOgt6pUZJ11IXpGt8zlEWI/SPwLv+pk7IfPnyfx+OOE5uYwR0cp33MPjcOHO7a/XmSaJvPzyywuKp5/fpxLl/oJh91CU4GA9KJ3WlCu8LfMcSCfD5LJhJifD2IY7MlQ91LpRbLZE2QyJ1EqwNTUA7z61Z8mkTjW2R1vkeO4PeimqTAMGB62GB836e+3CHXHKPx1BYOyzroQPUOSFeFnEv/CrzoV++Hz5xl4+GGsdBpzbAyjVGLg4YfJv/OdkrADtVqNubkiMzNRnnjiOiwrSF+f9KLvNXnv31y5bDAzEySTCWNZilBId7yqe602y/T0R8lkTlKrZZic/BHuuON/0dd3e1e8Zo4DlYqBZRkEAvqqBL2XvgAyDDyzgkQPPe1C7IystSv8TOJf+FWnYj/x+ONY6TROKuXuJ5XCat7u52S9UqkwO1sik0lx6tSNKGUwPGxKL/o+Mc3uG5rcDUwTcrkgFy+GKRQCe9KLbpoFZmf/ikzmBEtLTzE29lauv/5fMzT0Ogxj/1Mx23Z70G3b7UEfGzMZHXWHuO9FIb1OaDS0Z86B/Y8QITrMMNwCEzJ/UfiRxL/wq07FfmhuDnNs7KrbnGSS0OxsW/fTC1aqus/NVTl3bpBvf/sWQiHN6KiFYch7zn6KRGSd9RVaQ6EQIJsNMTMTwnEgGu3sXHTHaTA//wUymQ8zP/95BgdfzcGDf5e77no/gUC8Y/vdKtt2e9AdRxEIwPh4g5ERi76+3k3QW0WjxuVzoNdJsi48z0vLNwixXRL/wq86Ffvm6ChGqXS5Zx3AKJUwR0c7sr9u5BbEWmZ+3uT558c4ffoY8bhmYsL0zNDTXueVXsXdqNUU8/NBLlyIUK8rAgFNMmljdKhIuNYO+fzXyWROMD39cZLJa5maepBbbvl/CYeHOrPTbTBNqNUCOA4Eg5rJSfNygt6p52S/SM+6ED1EkhXhZxL/wq86Ffvle+5x56zj9qgbpRLBQoH8/fd3ZH/dxHEccrkl5ucdnn12imy2j1TKZmpK5qN3G7/OgLLtK8XiFhaCKOVWdO/r69wTUix+l0zmJNnsSQKBOFNTD3LvvZ8nHt//aTGNhqJWM9AaIhHNwYN1hodtUinvJeitHEd75hyQZF14nqy1K/xM4l/4Vadiv3H4MPl3vtOtBj87izk6Sv7++z09X92yLBYWlpifN3jqqYPk8wkGBmympmQ+erfy2zrrpZLB7GyQS5fCWJZBOOx0tFhcrZYlk/kI2exJ6vUFpqZ+lDvvfD/p9C37WihOa6jXFfW6m6Ankw7XXFNjYMAmkXB8M/IlHjeIRr3xbYQk68LzJEkRfibxL/yqk7HfOHzY08n5ikajwfz8MnNzYZ544jjVaoTBQUuS9B7gh3XW63XF4qJbLK5YNAgEIB63CQQ6c+ymucz09CfIZk9SKDzD2NgPcuON/46hodeg1P5N9G5dAx3c5RGPHWswMGARjfpzdJ2ssy5ED+mGpTCE2C8S/8KvJPZ37sryazGefNJdfm1oyKa/X5L0XuGFImFrsSx3mHs2GyKXc9OYSKRzxeJsu878/N+QyZxgYeFLDA3dx+HDf5/R0TcTCEQ7ss+ttetKgbiVNdDHxtwK7qGQPxP0VoGAIhDwxmeAJOvC8+SCTfiZxL/wK4n97dFaUyqVWFioculSmlOnbiQQUAwNWQQCMie913glUQG353hpKcDMTIjZ2RBaQzjskE53Zpi71g6Li39LJnOCmZlPkkrdzNTUA7zsZb9HKNTf/h1ukWm6889XCsRNTJiequDeTsGg8sxzIsm68DxZZ1r4mcS/8CuJ/a2p1WrkciWWlhQvvDDC+fPHCIdhbMzydAEqr2s0ert3dWW5tdnZINPTISxLEQp1tpp7ofBtMpkTZLMfIRTqZ2rqQV772keIxQ50Zodb0FogLhrVHD5cZ2jIIpl05PzcQL3u9Pw5sEKSdeF5ss608DOJf+FXEvvrsyyLfL5APu+QyaT5zneuw7aDpNM2k5O924s+mDvDsbOPki7OUEiNc+bovSwOHdvvZu2LcLg311kvlQzm54NkMuHLy63F407Hekmr1UvNSu4nsKwik5MPcPfdD5FK3dSZHW5Bve4m6OBWsj9+vMbQkE087p8CcbsViRiXz4FeJ8m68DxZukr4mcS/8CuJ/atprSkWS+RyNRYWIjzzzGGKxRixmMPwsI1h9PZ89MHcGe449SGqsX6WU+NE6iXuOPUhTt3xY75M2G27d+K/WlXkcm4l93LZwDAgFrOJxTqzv0Yjz8zMx8lkTlAsPs/ExA9x883/L4OD96DU3ndXa93ag65IJm2uvfZKgi62z7I0XvmeVpJ14XlywSb8TOJf+JXEvqtWq7GwUCSfD/DCC6NcvDhAMOhWjE6lejtBb3Xs7KNUY/3Uo2mAy/8fO/uoT5P1/W7BxhoNxeJigEwmzPKy220ei3WyUFyVubnPkMmcJJf7CiMjb+To0Z9nZOR+AoFIR/a5kdVLrKXTNocO1RgasojF5L1rt2xb99QXVhuRZF14nqwzLfxM4l/4lZ9jf2WY++LiyjD3G3CcAH19vT3MfSPp4gyWCjI++x2itWVq0T4WBo8RaZT3u2n7ohvXWV8pFJfJhJmfv1LJvXOF4mxyua80C8V9ir6+25maepDbbvtDQqF0+3e4aXuuJOjgJuhHj9YYGJAEvd1knXUheogfL9SEWCHxL/zKb7GvtaZQKJLL1cnlonzrW0colaLE4w6jozZKdU/S1gmWCnL0/GNUY33Uon0ErRpHzz/G2cOv2u+m7YtuWme9WlXMzYW4cCGMabqF4jqXoGsKhW81C8U9TCQyytTUA1x//b8hGp1o/w43bQ/Uam6CrhT099scO1bz9Rroe0HWWReih8jyPcLPJP6FX/kh9h3HoVqtsrhYYWkpwHPPjZHN9hMMwuCgRTrtnWHum1GsTH1Ql2/RWuP1KFivqN5+Vwq3bVhcDHLpUojFxSCGAfG4TTzemf1VKufIZE6SyZzAcRpMTT3AK1/5UVKp6zuzww2s7kEfGLC45po6AwM2kYgk6HvBMNS+nwPtIsm68DzDK2erEDsg8S/8youxv5KcLy1VKZcVhUKAS5cGuHTpEI4ToL/f8uww980EtMW5o69hOHeaaK1ALZrm3NHXEHC8+3xsVFRPD1y7L20qlQxmZkJkMmEsyx3m3tfXmV70RiNHNvsxstkTlMunmZh4By972X9jYODuffmyzrKgUgngOG4P+vHjVQYHbcJhSdD3WjisCIW88RkgybrwPL8NhRSilcS/8CsvxL7jOFQqFZaWas3kPMjFiwNks25yHgxqUimbsTEH8MaQz50qpMYJ10ucP3zP5dsitQKVyNA+tqqzNiqq952D1+xZO0wTcrkgFy5EKBYNAgG3F70Ty63ZdoWZmU+TzZ5gcfFxRke/j+PH/29GRt6AYYTav8NNOA5UqwaWpQiHNUeO1Bkbs6SK+z6r1RzqdW+8BpKsC8+TtXaFn0n8C7/qxdhfnZwvL4e4cGGAmZnD2HaAcFiTTEpyvpYzR+/ljlMfAqAeSRKpl4hVl3juhrfsc8s6J12cYTk1ftVt9UiSdHGWUKizPctaQ6EQYHo6xPR0CMeBaLQz1dwdxyKXe4RM5gSzs3/NwMBdTE6+izvu+F8Eg8m2728rWuehj46aTE6a9PXZnhl63evcnnVvTIKRZF14nizfI/xM4l/4VS/Evm3bzeS8TqWiWFoKcf78IHNzfThOgFBIes63anHoGKfu+LHm/O1ZiqkxnrvhLZ5etq3QHPq+0qMOEKmXKKbGOhb/jYZifj7IhQthqtUAhuGQTLY/SdVas7z8FJnMCaanP0YsdoDJyQe58cbfIBIZbe/Otqh1mHsq5XDsmLvUmgxz7z6O436h5AWSrAvP64ULNiE6ReJf7Eb4/HkSjz9OaG4Oc3SU8j330Dh8eN+3tRXdGPsrPef5vNtzvrQUbknODSKRzvacr1eMzCsWh4556ng2s9FoAquNU/UdB5aXA2SzIWZn3aHmsZhDX1/76wGUy6ebldw/gtaaqakHeNWr/opE4njb97UVWrvD3BsNt4r9oUPuMPdkUr4862aWpbGs7vsM2ImOJetKqT8F3gbMaa1vad72ELBSlrEfWNJa396875eBvw/YwC9orT/TqbYJf/HzWrtCSPyLnQqfP8/Aww9jpdOYY2MYpRIDDz9M/p3v3HaS3c5tbVU3xL7WmlqtxtJShWIRlpdDnDs3yMxMP1obhMMOqZTD+LiNe/nTORsVI/NTguslG40mGIy6Q4ArlZ1vf2XJtYsXwzQa6nKNhHb3otfrc2SzD5PNnqBavcTExDu4/fb/Tl/fy/dtVYdGQ1Gtugc6MmIxOdlgYECGufcKWWd9a/4M+APgfSs3aK3fvfKzUuo/A8vNn28Cfgy4GZgEPqeUuk5rLVeXYtckSRF+JvEvdirx+ONY6TROKgWAk0phNW/fboLdzm1t1X7EvtYa0zRZXi5RLDoUiwEuXerj/PlJLCtIMAjptL0nyflqGxUjk2S9d603mqBW21mvYuuSa/l8EKUgFrOJxXbb0qtZVomZmU+RzX6YfP4JxsZ+gOuu+2WGhu7DMPZn4K9tQ6ViYNuKZNLh+utrDA9bstxaD6pUpMDcprTWX1ZKHVnrPuV+TfYu4I3Nm94OfEhrXQfOKqVeBO4GHttoH0opAoEASimUUjiOg2EYaK3RWhMIBLBte9P7gcs/rxSkcRxnzftbtxUIBHAcZ1v76lRbdrIvpRSGYVze1362pZOvwcr+/HbcEnvd+Rrs9XGv7FMpJbEnsbet4w6Xy9iHDmE0GqA1RiyGE4sRyecJhULbOu5wuYxz+DDUaqAUKhJBx2JElpYub6vdx73CMIyOxp7WmqWlZZaXTapVg7m5BDMzRymXYziOZmREc+iQTSDgEAop6nV3SSGtNZYF0aiiVtMoBZGI+3MwqFAKTFMTjSrqdY3WEIsZVKsOgQAEAopGQxOJKExT4zhX7jcMmvvShMMK29YMGkVqRw+jy3WUoQjGwpilCMPmEul0AMtae1/BoHu9ZZpr76u1LSv7su212xIKqcvHvXJ/p4+7tS2t+3LbwkuOe+X12Ovjhpe2ZTevQSSiLvcsrteW1tiz7QDnzgVYXAzjOBAIOFx/vaZW0ziOIplUlEqaUMjdV62micXcfdo2l+8PBNziXtWqeyy2rTFN9/5CocHs7Be4ePEkFy58lrGxe7jhhvcwPv4++vuTlMvucbfuyzDcdsfjqtmWK/cHg+5xVatuW0zTPa6V+w3DPcZKxX0+HOdKW0qlK+fcwoJbjCwY1Bw6ZHL4sE0g4J7/sVhAYq8Dben0+55hBEgkbAKBQM985q5nv+asvxaY1Vq/0Px9Cni85f5LzdteQin1M8DPAExOTnayjcIjVk4Sx/HGN2xCbMfKF1ZCbJc1MkKgUsEOXrlUUOUy5tD2l8Ja2VbrGFJVLmMND7elrWtZ+ZLKaufkXdyLu3K5zOJimXJZUSrFOH16lHI5TTCoCAQsBgYgmTRbLlrb2oQdKSVHiTfKmC2XfuF6mXJ6ZB9bJTolHFaEwxsPIbcsxeysQTYbAQJUKpq+PptgEOp12jIEXWvN/PzX+eY3T3L69MdIpY5x3XXv4rbbfpt0egitodHY9W62xbahVAqgNfT3w8REg4kJm2TSwbZXEkXvFCjzo2hUEQ5749pHdbIAS7Nn/ZMrc9Zbbv8j4EWt9X9u/v4HwONa6/c3f/8T4NNa65Mbbf/mm2/WDz30UEfaLryjG+YtCrFfJP7FTrXOM3eSSYxSiWChsOs567vd1la1M/a11uRyS+TzDsvLQc6dG2R6egCtDSIRh3TaTXC61WDuDLc88zGuPfMIxcQwM+O3YAUjxKpLMmfdo+JxN1GpVK7uqFhZci2bDTEzE2r26DptH+pdLD5PNnuSTOYkgUCEyckHmZp6gHi8c0UlN2KaUK26CXo4rJmYaDAyYpFKuT3NwltMM8iBAyave93SfjdlS2699dYntdZ3rXXfnn+0KKWCwI8Ad7bcnAEOtvx+oHmbELvWi2vtCtEuEv9ipxqHD5N/5zvdCu6zs5ijo+Tvv39HyXU7t7VV7Yp9x3HIZOZ56qkDnD07QDis923e+U60FpZ74dh9jM9+m2te/BKnj98nibqHrQxvXlGvK+bmgly8GKFadYd8t3vJtVptmmz2o2QyJ6nXZ5mc/BHuvPPPSadv3ZdCcabpFonTGiIRzZEjdYaH3UrukqB7mzutwRsv8n58D/wm4Dmt9aWW2z4BfEAp9V9wC8xdC3x9H9omhBBCiKbG4cNtS6jbua29YpomFy8u8pWvXEO1GmVqytzvJm1ba2G5ejTN6dQokVqBRiQpibqHKeUuuZbLBchkwiwsuJf88bhDf3/7pgWaZoGZmb8kkzlJofBNxsbeyo03/jpDQ/eiVGDzDbRZo6Go1YzmXGaHY8fqDA1ZJBKSoPuJUnjm9e7k0m0fBF4PDCulLgG/prX+E9yq7x9sfazW+ttKqQ8D3wEs4OelErxoF5mrLvxM4l/41W5jv1qtcv58mc9//iZiMRgaav+a0nshXZxhOTV+1W31SJJ0cXafWiQ6rVQymJsLks2GyeW4PBqkXcmL4zSYm/sc2ewJ5ue/wNDQ6zh8+L2Mjr6ZQKDNZeO3YGWZNa3dLyOOH68xNGQTj0uC7leNhsY0vVF0oJPV4N+zzu3vXef23wJ+q1PtEf4lc3aFn0n8C7/aTewvLRU4exa+9KUbGRmxe3rppkJzTfWVpdoAIvUSxdTYPraqvQZzZ5prjc9QSI1z5ui9PTFqoJ3tbjQUCwtBLl4MUyoZHDyoGBx0sO32fGGrtcPi4uNksyeYnv5LUqkbmJp6gFtu+S+EwwNt2cdWOY47rL/RcMfwJxIO1157JUEXIhaTddaF6BmSpAg/k/gXfrWT2HcrVy/y3HNpnnxyiokJk8Dej+RtqzNH7+WOUx8C3B71SL1ErLrEcze8ZZ9b1h6tc/KXm19M3HHqQ10/H78d7bZtWFoKksmELg9zj0Yd+vttAgGF2YZZG8Xid8hkTpLNniQYTDM19SCvfe2XiMUO7H7j22BZUK0aOI67vNfgoMXoaJ2BAZtotHe/TBOdUa9rGg1vfHEjyboQQgghfK+1kNz58wNMTZmeGEK7OHSMU3f8WLMHd5ZiaoznbnhLVyey29E6Jx+4/P+xs4929THutN1aQ7FoMDsbIpsNY1mKcNh5yTD33cwCqVYvNQvFncA080xOPsBdd32QdPrmnW90m9wl3RT1uju8PRTSTE6aDA9bXb/6gth/jqN3dQ50Ewl14XkyDFj4mcS/8KvtxP7qQnITE71XSG4ji0PHujpx3Y1enZO/3XbXaleGuVerBoahicftdUd+JJNu5l4obK3X2TSXmJ7+OJnMSYrF7zA+/kPcfPNvMzj4KpTam+HEjgO1mkGj4faep1I2Bw/WGBiwpUCc2JZ4XIbBC9EzJEkRfibxL/xqq7HvlUJyftWrc/K30m7Lgnw+yKVLIRYXgyjlVjjv69s8tkulzZN0264xN/cZMpmT5HJfZnj49Rw9+nOMjLyJQCCyswPbJnf9cwOtFYYBw8MWo6MmfX29XStC7K9KxaFW80bXuiTrwvP2Y21PIbqFxL/wq63EvpcKye21binq1qtz8tdr93evfwvLywFmZoJMT4dxHAiH3QR9O2/nodDat2ttk8t9lUzmBLOzf0U6/TKmph7gttv+P0Kh9Np/1EZau8Xh6nW31zMS0Rw61GBoyCaVWn+kgBDbEQzKOutC9AxJVoSfSfwLv9oo9r1YSG4vdVNRt16dk7+63YuRMb4w9kM8+fyN1Otq02HumwkEVuJfo7WmUHiGTOYE2exHiURGmJp6gOuv/2Wi0cm2HdN6Vifo6bTN0aM1+vttYjEZ3i7aLxBwR2p4gSTrwvNknWnhZxL/wq/Wi32vFpLbS91W1K1X5+TP9x/j+cPXcelSiHw+CDV3nfC+vt2/b9dqmlLpAi++eIJM5gS2XWVy8gFe+cqPkErd0IbWb2x1gt7X5ybog4OWVG8XHVevOzQa3ogzSdaF5xnNr9Zk7q7wI4l/4Vdrxb7XC8ntlV4t6tYNtIZSyWB6OsT0dBjLgkjkpdXcd6rRWGR6+mPMzZ1kefl7jI29nVtv/a8MDLyy4yOt1krQjx2rMTAgCbrYW9GoQSTijW9hJVkXnqe1fEAI/5L4F361OvalkFz79GpRt/3UaCjm591q7uWyQSCwu2HurWy7wuzsX5PJnGBx8W8ZGXkTN930C0xM3E+hsM7k9TZZnaD397sJ+uCgJTUgxL4xTY1leSP+JFkXnifJivAziX/hV62xv9VCct1SNK3b9WpRt73mOLC0FCCTCTM/715yx2IO/f27H+nkOBa53JfJZE4yO/tp+vtfztTUg9xxxx8TDKZIp6/MWW83SdBFt7NtjVcGFEqyLjxP1pkWfibxL/wqEAigtWZ6em5LheS6qWhat+vVom57pVw2mJsLculSGNNUBIO6LcPctdYsL58ikznB9PTHiEYnmZp6gBtu+DWi0atHNWx3nfXN9y0Juugdss66ED1EkhThZxL/wo9M06RYLLG4WOHpp6e2VEiu24qmdbteLerWKaYJuZyboC8vBzAMiMdt4vHdb7tcPks2e4JM5iRa20xNPcA993yCZPLadf9mK+usb0YSdNGrZJ11IXqILF0l/EziX3id4zhUq1UKhRrlsqZSMVhcjLO4OEqplKRS0VsqJCdF08R2aQ3LywGmp0PMzIRwHIhGt78m+lrq9Xmy2YfJZk9QqVxgYuId3HbbH9Lff+eW3td3OhdeEnTRawIBk3C4SihUwzDq2DY4Tohg0Bs1NCRZF54nyYrwM4l/4SVaaxqNBqVSlWLRolo1WF4Oks32MzNzAMsKoZTbo3nggCKddsjntza6RIqmia2qVleKxUWo1xWBgCaZtHe9rrNllZid/TSZzAny+a8zOvr9XHvt/8Pw8OsxjO0ViguHtz5nXWuo1RSNhnsAAwMWx47VGRxcv76DEHtJKYdwuEo4XMMwqjiOOydda4VphlhejlGvD5BIBBketjlyBMbHa/vd7LaQZF14nqwzLfxM4l9sJHz+PInHHyc0N4c5Okr5nntoHD683826zLIsKpUqy8t1qlVFqRRgbi7JxYsHqdWiaK2IRBwSCYeREQ2YLX9rYG2x4Ptg7gzx0gLXnnmEYmKYmfFbsIKRri2a1muF8ParvevtdyftsW1YXAxeWROd9qyJ7jgmCwtfIpM5wdzcZxkYeCVTU+/i5S//3wSDiR1vt1rdOMleK0G/5po6AwOSoIv9ogmF6oTDNYLBKmBiWQaOA45jUK3GyOUShMODDAw4jI1ZDAzYJJM2qZRDLFa6PKLlSr2e/TuadlG9XCn45ptv1g899NB+N0N0uVDI/TbaNGU9XeE/Ev9iPeHz5xl4+GGsdBonmcQolQgWCuTf+c59S9jr9TpLS2VKpZXh7BEuXepncTGN1u5yV4mEQyzmbNqL2d/vXqwtLW18tdZaWC5o1hif/TbJ0gKnj9/HM7e+o+uS4Nb2tlZi79ZCePvV3vX2e+boazh29qtbao/WUCwazMy4a6LbNoTDDtGo3tUwd601S0tPXC4UF48fYWrqQSYm3kEkMrLLI3eNjronyNzclS8T1krQJyZMBgdtwuHezQdEr9P09c1i2w3K5Tjlcgyto/T3K4aHLYaHbVIpNylPJp0tTfHotWufW2+99Umt9V1r3Sc968LzevkLKSF2S+JfrCfx+ONuop5KAeCkUljN2/cyWa/X6ywuligUYHo6yXPPHcM0Q2itiMcdEgmb8XEb2F4XiW1vLfZbC8vVo2lOp0aJ1Ao0IsmuTH57rRDefrV3vf2+/OmHmB6/ZcP21OtX1kSvVAyCQU0stvs10UulF8hkTpDNfgSlgkxNPcCrX/0ZEomju9vwGlbifyVBr9cNlILBQYvx8bok6KIrxOPLRCKLnDs3yTXXBHjFKyqk0ybhcGNX2/XStY8k68LzvHTCCrFdEv9iPaG5Ocyxq+djO8kkodnOF1RzE/Qiy8uK6ekk3/3uNZhmiHjcYWDAxjC2OH59A1sd/thrheWkvbvbb19hmnOH73nJ7anCLLlckEwmxMJC+9ZEr9VmyGY/SjZ7klptmsnJd3LHHf+Lvr7bO1ZTxHFgednANBWFgmZw0B3iLgm66BbBYJ2+vmlmZ9MEAkf44R8uMTq6+/f9FV669pFkXXierDMt/EziX6zHHB3FKJUu96wDGKUS5uho2/eltW7pQVdksymef/5aTDNELOYwNGRjGO0drhiLuUN9K5WN5xT3WmE5ae/u9rucnrjq9nrdwFooc7p8kG9+M0YotPs10U2zwOzsX5HJnGBp6SnGx3+Q66//FYaHX4dSu+yeX4fjQLVqYFkKpeCWWxxGRiwajYYk6KJrKOXQ3z9DpQJnzhzhta+tcO21S7suzrial659JFkXnueFE1WInZL4F+sp33OPO2cdrp6zfv/9bdl+a4K+vKzIZtM899x1WFaQRMJhcPDqBL3dRciq1a0V/jpz9F7uOPUhgKvmMHdTYbnW58ZWQZKFGfJDR7q2va326/ldb79P3f5ujpz+WwoFg+nyAMFyibRd5JkjP0xf387fLx2nwfz858lkTjA//3kGB1/DwYM/zl13vZ9AoA2Lra/Btt0E3bYVhgGjoyajoxb9/Rbp9Er2I4m66A6JRJ5gcJmzZ6e46SbNm9+8RDTamfj00rWPFJgTnuelb9eE2C6Jf7GRdleD11pTq9VYXCxTKCguXerje98bvZygr9dj2YkiZImEm6yUy5sn7SvJcKo4SzE11lXV1dd6bgbz5ykkxwhou+vau5b9en6v2m9yjFND9/FM7XqCZy9wZ/6LjDvTLCfHeXroPqaTx7e9fa0d8vmvNwvFfZxk8rpmobi3Ew4PduCIwLLcBN1x3CXjxsdNRkYs+vqunlO/nfgXopNCoSrp9CzZ7ADJZJrXvrbI0FBnr0l67dpnowJzkqwLzwuHwwA0GrsrViFEL5L4F53WmqAvLysyGTdBt+0giYS7pM5mQ4rveuJ9hFcPWW4WeXvirp/YUbsGB92LtcXF3rhYW08nnhs/qdUUc3NXr4kej2++msBGisXvksmcJJs9SSAQY2rqXUxOPkA8fqh9DW9hmlCtBtBaEQo5TEyYDA9bpNPrr+3ulfgXvUspm4GBaYrFIIuL47z+9WWOHm3saorJVvXatY9Ugxe+1ivfqgnRCRL/ot0cx6FarbK8XKNchkrFYGYmzQsvHMBxAiQSNiMjDkptfQ56J4qQ1Wq92xnRqtcKynUD24Z83l0TfXFxZU10m76+nW+zWs2QzX6EbPYkjUaOyckf5c473086fUtHCsU1GopazUBriEQ0R47UGRqytvTlF3gn/kUv0qRSOaDMmTNT3HGHzQ/+4BKh0N7FpJeufSRZF55nNL929tKJK8RWSfyL3dBaY5ompVKFamYB43wWZ6HI8lyEZ6y7mU1eg1KaZNJhdNRBqStDbrczB70TRchCoT3ovtkDvVZQbj+VSgazs0EuXQpj22pXxeImSqe5bu6veTH3Fb5UPs35+jwj4z/EjTf+FkNDr952obiJ0mluzz3CUG2aXHTiJUPvtb46QU8mHY4frzE4aJNIbC1Bb+WV+Be9JRIpk0jMcenSKCMjg7zrXaVd1YLYKS9d+0iyLoQQQgjgSq95oeD2mpfLioWFJMVnHV7+9S9QjPRhxpP0scD3mX+x7pzy1nnWy81k845TH1r38Z0oQtbDs/yu0gsF8PaTaUIuF+TChQjFokEg4Pai73RNdNuuY154H986/8f8RfUS1yav5f6+l/OayChfOvTeHc1tnyid5s2X3k8x1M98dIKEVeTNl97PZ6Z+nHOha6jX3cQilbI5dMhN0OPx3c0190r8i95gGBb9/VmWlqJkMsd44xuLHDy4vN/N8gRJ1oXnOY4UVxH+JfEv1rPSa14uV1leNqlWDQqFIJlMP9PTB7HtIIbhJj6vv/RnBEZShKNJwoBFimpNc+zso2sm38fOPuoWRFtZHqv5/3qPXxw6xqk7fqzZE+8WIXvuhrfsqgiZZXkjW+nEc9PrtIZCIUA2G2JmJoTjQDS68zXRtXZYXPxbMpkTzMz8JUfCQ7w6dRM/cvjvEW9Wcq+by9yee2RHyfrtuUcohvoph/pAwzL91GyDGy59mekbjnP0aI3BQautlbG9Ev+i22n6+uaw7QZnzhzg7rsb3HzzIsF9zjC9dO0jybrwvF6rCClEO0n8i1aNRoNisczysk2xaLCwkODChQmKxQSgCIed5pB2DVyZc95X3t686Z3Ms14cOtbWBDQadYcBVypt2+S+afdz06vqdcX8vNuLXq0qgkFNMrl+kbWNaK0pFr9NJnOCbPYjhEIDTE09yGtf+2V++sKfMx+dAHVlw+VgiuHazI7aPVidZjowiVV1txePOaSGolyvL1C8qzMB6qX4F90nEDBJJnMoVePChXEOHw7ynvcUSSa7I0n20rWPJOvC87xwogqxUxL//mbbNuVyhaWlOqWSYm4uwYsvHqRSiaMUJBLucNtk0tpwO9udN90N86zrdelZ9ALHgXw+QCYTZmHBvWyNxRz6+3eWFFQqF8lmP0Im82Fsu8Tk5APcffeHSaVuuvyYXHOoejl0pSJdwiqyGB1fa5Nr0tqtRF+vG2T0JEOBAqGxJPG4QzCoidQKVCKdOx8k/kW7BQImqVQOx2lQrYa5eHGYiQnFD/5glfHx6n437ypeuvaRZF0IIYTwCK011WqVpaUqpRIsLYU5c2aI+fk0WhvNxNymr2/rldph+/Omu2Gedafm7G6ncJ7X7OWxl8tXisWZpiIc3nmxuEYjz/T0x8lmT1AsPs/ExA9z663/mYGBV6LUS7vlnx66jzdfer/bjmCKhFUkZS7x2NjbNtyP40CtZmCabiOHhiyuu64ON9/N8Wc/SDVsUg8kidQ6fz7InHXRDis96Fq7CfqFC26C/rKX1ZiaKhGJSKB1mqyzLjyv19ZaFKKdJP69r9FoUCiUKRRsisUAly71c+7cELYdvFwNOxze/Wf9SqKWas6b3ixR2+7j221oyO2PyOU2HjWwHa2F81q/hFivcJ6X7MWxWxYsLLgJ+vJy4HLNhJ3Mf7XtKnNznyGTOUEu9ygjI/czNfUgIyP3YxjhTf9+pXr7YG2Gxej4S6q3r2hN0JVyE/SJCZP+fvuqpar2+nzoRPwLfwgEGqRSi5d70BcWhpmcVNxwQ42pKbMnEvReu/aRddaFr3lpKIwQ2yXx7z0rQ9vz+RrlstEc2n6ISiWGYbgVpbe7zvlWbHfe9H7Ps65W2z93cruF87ykU8e+UixuejrE9PTuisVpbZPLfYVM5gSzs5+mr+82Jicf5Lbb/ohQKL35BlpMJ4+vW0zOcaBaNbAsN0EfGbEYHzfp77fW/WJhr8+HTsS/8K7VCfr5826C3qs96F669pFkXXie2smYOSE8QuLfG0zTZHGxwNKSO7T97Nkh5ub6ALXjoe1e14lqxDspnOcV7T72Ws0tFnfxolssLhDYWbE4rTWFwrfIZD5MNvswkcgYU1MPcv31v0J0G3PMN2PbboJu2wrDgNFRk7Exi76+9RP0/dSNbRLdxU3QcziO6YkEvZWXrn3kVBae56UTVojtkvjvXY7jsLxcIJczmZ+P88wzx6nVwpeHtk9MyPDWjXQi9ruhcN5+acexu8Xigly6FCKXcy9B4/GdFYurVM6RyZwkkzmB4zSYmnqAe+75GMnkddve1npsGyoVA8dRBAIwNmYyOmrS17fzddz3irz3i5fShMNVYrFltDapVMKcPz/imQS9lZfiX5J14XleWmtRiO2S+O8tWmsqlQoLCxXy+RDZxy0mT32dA/UZRkdGOXfcP8XMdss023/R2e7Cee0s2Nbp4m+7OfZy2WBmJkgmE8Y0DcJhZ0fF4ur1BaanP0Ymc4JK5SwTE+/gttt+n/7+V7Tt4tyy3B50x3GXhpucNBkZsejr29kScfulE/EveokmHK4RiZQIBGqYJjiOolKJMz8/wtSU4rbbvJWgt/LStY8UmBOe12tFJoRoJ4n/3tBoNMjl3GHuZ88O8eKLI4wVzvHGc++nkezzXTGzdhgYcLs+8/n2zl1sV6GwdhZs26vCd9s5dtNU5HIBLlyIUCwaGIa7VOB2e6Qtq8zs7F+TzZ5gcfFxRke/j8nJBxkZeQOGEWrDUYFpQq0WwHEgFNJMTJgMD1uk072VoLfqVPyLbqQJhWpEo1cn5tVqjGIxSSIR5sABk/Fxi/5+i/7+7h8Zslu9du0jBeaEr3np2zUhtkviv3vZts3SUoF83mJmJskzz1xLoxEilbIZH7d5ReaLbqLuw2Jm7dCpnsV2FQprZ8G2vSp8t9mxaw3Ly26xuJmZnReLcxyLhYUvkc2eZHb2rxkYeAWTkw9yxx3/i2AwudvDANwvE6pVA60hHNYcOlRneNgilXJ2tDxct5Geda/ShEL1ZmJexbLAthXVapTFxTSx2DAHDqysSGDR318hGKzsd6P3nJeufSRZF57Xy6NHhNgtif/uorWmXC6zsFBlcTHMt789xeJikkjEYXDQxjCuFInzczGzduj2a7V2vr77HSvVqmJuLsTFi2HqdXf4+HaLxWmtWV5+ikzmBNPTHyMWO8Dk5IPceONvEImMtqWdpqmoVNxGRaOaI0fcBD2Z9EaC3qrb419sxdqJea0WZXo6RSQydDkxHxiwfZuYr8VL1z6SrAvPCzTH+nhpGQchtkrivzvU63VyuSL5vOL06RHOnj1KIKAYGLCYnFy7irufi5m1QyzmJmWVSndmLe18ffcjViwLFhfdNdHzeXdN9FjMJhbb3nbK5dNkMifIZE6ilGJy8gFe9aq/IpFYe9m07Wo0FLWageNALOZw/HidoSGLRMJ7CXqrbo9/sZpb/C0SKRMI1FYl5knC4SGmptzEfHDQTcxDIUnM1+Olax9J1oXneeFEFWKnJP73j+M45PPLLC7aTE+nePbZ67CsIOm0zeTk5pXc21HMbKdFxzb7u04XM2uHbl9nup3F6tpd+K7VVa91cpxvjtzHs/XrmJ4OY9sQiTj09W2vWFzf4tepn/0jns5/jTm7zKGxH+SOO/6Yvr47rioUN1E6ze25RxiqTZOLTvD00H3rrn3eaiVB19odhn/smD8S9FbdHv+71QvvQetziESqRCIlDKOOaarLxd9yuTTx+DBTUxbj426PeV9flVCout+N7ileuvaRAnPC84LNxUYtS5Y5Ev4j8b/3HMdhcXGZ+Xmbp58+wNxcmljM2VE16d0UM9tp0bHN/m6vipntVirlPtnFYvcmLe0qVtfubbVu845TH6IYHGDBTFOfqxKvL/Op8R8nP3x0W0WqLKvIzMynyF34c/LLp3hZ8npuH3gld0TH6bcKfPbAj1+ViE+UTvPmS++nGOqnHEyRsIqkzKWXPG5Fa4IeizlMTTUYGrKJx/2ToLfqhfjfqV55DwJQyiYarRAOlwAT01RobVAuxymXk6TTAaamLMbG3OJv6bRNULpSd63Xrn2kwJzwNS+ttSjEdkn8753WJP3UqYPMz6fo77fXHea+FbspZrbTomOb/d1eFTPbrUCg+2O/XcXq2r0tcNcYH33mbzmzNMJcYwBwKywHQ5rX1L7IpwNHN92G45jMz3+RbPbDzM19jsHBV/HWxHHuHnkjVmQYgBpQVAa35x65Kgm/PfeIm6iH+gAu/9/6uNYh7vG4w/HjNYaGbBIJ7yWo29UL8b9T3f0epInHi0QiS9TrBrZtUCgkqFZHGRpSHDjgrjQwMGCTSpV6drWBbuelax9J1oXneakipBDbJfHfeZ1I0tthp0XHNvu7/S5mtlWNRu+OHNxPxaLB7GyITCbMNWdy5OITxKIONK99yzrFcG1m3b/XWpPPf51s9iTT0x8nkTjG5OSD3HzzfyQcHuL7n/8t5sODV/1NOfjSbQ7VppmPTrzkcQPlGZaXA2gNiYQk6Ovxcvx333uQJhotE4vlaTQgn0/jOIe48cYaY2M2fX0WqVTBlyM89ouXrn0kWReeZzS/tvTS/BUhtkriv3O6NUlfsdOiY5v93Xr32yrAXU+8b9fz3Ns1FzUcdq+MK22owdTb82M3Z5qKhYUgFy6EKZfdNdHjcZty/xgD1jJl1Xf5sQmryGJ0/CXbKBafJ5s9SSZzkkAgwuTkg7zmNZ8lHj9y1eNy0QkSVvFyT/l622x9nG0pGqYiaRXJx8a59toag4OSoG+knfHfbbql+GY4XCWRyGGaDoVCivn5g9x8c4O7764zNJSX5HwfeenaRwZfCM/TWntqCQchtkPiv/0cx2FhYZHnn1/ks5+d5LOfvQnTjDM5aRKPd0/ycObovcSqS0RqBdAOkVqBWHWJM0fv3dXfrXX/QO4c6dIs4XqJ5dQ44XqJO059iMHcGeDKHNP17l+x1cdthW1rbHv3sd/ONnUTrWFpKcB3vxvl0UeTfPe7UWwb+vpsUimbQACeHrqPlLlEwlwG7ZAwl0mZSzw9dB8Atdo0Z878AV/5yuv52tfeiW1XufPOP+d1r3uMa6/9/70kUYfNt7niG+nXEy4tEygUAYcj/QvcMDqP88a7OXjQlER9E+2K/2600/e2dggG6/T3Z0ilLmCaZc6enSKVGue++4K89715XvnKMsPDliTq+8xL1z5SYE54npeWbxBiuyT+28ftSV9ift65qie9mxL01XZadGyzv1t9f6K0gBmKXt3TVSvQiCR54q6f4K4n3kd4dU9Yy/0rtvq4rYjH27N0VTvb1A3qdcXcXJALFyLU64pAQBOPO+vOnV2pyD5Ym2ExOs7X++7k6eKzZDInKRS+ydjYW5maepChoXtRamsV51Zvc6XK++o56Hckn+PuwhcZarSvaJ5ftCv+u1UnCiquJxAwSSYX0NqkVIqSzw9z7JjDddfVmJgwt1VoUeyNXrv2kQJzwtd67YQVop0k/ndvdZI+N5diYKB7hrtvZKdFxzb7u9X3v/GL/4lSJHnVY3Yyz72dc1Hbtc50982P3T7HgXw+QCYTZmHBvfSLxx36+jZ/bqaTx7kUO8D8/OfIZE6w8Ny/ZWjodRw+/F5GR99MILDNhdWb21wpEmeaimrVwFlaq0jcQb5F730h0g28vs56uwsqrmYYFsnkIkrVqFTCXLgwwoEDirvuqjE5WSAU6t3OTj/w0rWPJOvC87xwogqxUxL/O7dekj411f1J+l7b6Tz31XNM2zkXtV3rTHfL/NidqFQMZmeDXLoUptFQhMOadHpra6Jr7bC4+BiZzAlmZv6SVOpGpqYe5GUv+11Cof5dtWslQW9dB3142JKh7W3k9XXWO0Epm2QyTyBQploNkckMMzwc5NZbaxw4UCISkQS9V3jp2keSdeF5Xlq+QYjt8lv8h8+fJ/H444Tm5jBHRynfcw+Nw4e3tY39TNLXKmQGdH1xs9zAYV7z2P/AcGxKiWEK6Qm0MnjuhrcA7hzTO059COCqdZFX7l+x1cdtRbuWRGpnm1brROE6y4LFRTdBz+eDGIYmHreJx7f294XCd8hmT5DJnCQU6mNq6kFe+9pHiMUO7KpdpqkYzJ3lzvwXGXemscdGyNz0GmoHjmz65cFOnyevFwbciCwJtnWGYdHXN0uj4TAzM0wyOcitt9Z405sqxOOSoPciL137yJx14XnhcBiARqOxzy0RYu/5Kf7D588z8PDDWOk0TjKJUSoRLBTIv/OdW0rYLctiYWGZxUV4+ukDl5P0vZqTvlLIrBrrv5wUDubPox1NfujIVYniqTt+rGuSjpV2K8cmXZwmUc6hjQBffdXPcvb4fVc9bitzTNs1F3VgwB0Gmc/vvoelE/Nj13q9d/PaFosG09MhpqfD2DaEww7RqN5SL3q1eols9iNkMicwzWWmph5gcvJB0umbdnBkV5gmVKvuMmtHrRd5sPhnMJjGSSWIbvF4d/o8tfv57TXtjH+vcpP0Gep1yGQmuOkmm5e9rEo6LaMSel2vXfvInHXha14aCiPEdvkp/hOPP+4m6qkUAE4qhdW8fb1kXWtNtVplbq7MwkKEp546RrUaob9/74e7Hzv7qJtYNIdb16Np4uUFAGaiL7t828pjuyXhaG13fugo4BZgG8qf52zL47Y6x7Rdc1Hr9fZ1RnRifuxar/fK7VvdV+uSa6WS0SwWZ2+p4JVpLjE9/XEymZMUi99hfPyHuPnm/8Tg4D0otfNu2ctz0B2IRjVHjrhD3N/w3GcIJ1LUoynUNo53p89TO57fXtbO+PeaQMAknZ6hWjU4e3aSW2+1eP3rSzINw0O8dO0jybrwPC+ttSjEdvkp/kNzc5hjV88jdpJJQrMvLQS2skb64qLFuXODPPfcIQIBxeCgxcDA/sxJX6uQWchqsPqSu9uKm3VrAbZQqLuHQe70edMaCoUA2WyImZnQ5Xnf/f2bn+O2XWNu7jNkMifJ5b7M8PAbOHr05xgZeROBQGTHx7JSxd1ti+bYsTpDQ+4c9JWe/XRpZ8e70+epW+Nyr3R7/O+HQKBBX98slYrB2bNT3Habyf33F7t6RQ+xM1669pFkXXheL0/1EGK3/BT/5ugoRql0uWcdwCiVMEdHL/9er9dZWCiQywV55pkp5ueTJJMO4+NbK7rVSWsVMjOD4Zc8rtuKm3VrAbZuj/3tPm/1umJ+3l1yrVpVBIOaZNLedG6y1ja53FfJZD7M7OynSKdfxtTUg9x22/9HKJTe+I830Jqgx2LOmgn6bo53v/7OK7o9/vdSMFgnnZ6lXA5y5swB7rijwZveVCAWk+fIq7wU/5KsC8/z0gkrxHb5Kf7L99zjzlmHq+asL77xjRQKRebna0xPJ/nWt67HsoIMDlpdVdl9rUJmlcQw2tFEaoW2FzdrtZtCXJ0swLYblnX170dPP8LLn36IvsI0y+kJnrr93VfNqW+XrT6XW3neHAeWltwl1+bn3Uu2WMyhv3/tnsDL65dXs3wTzafqc3xv/gtEIiNMTT3A9df/K6LRyR0fW6NxpYp7IrF6mbWNnwtLBUmXZlkcOLytONlpfK31dwO5c5TS47zxi//J8wXnVse/H4VCdVKpWUqlEGfPHuLOO2u8+c3LRKP++Vz0Ky9d+0iBOeF5vVZkQoh28lv8t1aDr0xMcP7W25m1+3n++TEuXBgkHIbBQatrKyWvVcgMaHtxs9X73G0hrk4UYNutoSE3uc3lLI6efoQ3fvF3qMb6qUXTRGsFYtUlvvCGX2xrwr7d53K9561aVczNhbh40V1yLRjUxONr91ivmCid5vazf8gXKuf5avFZbKfBaxPXYlzzi9TGvm/Hx1SvX+lBTyYdJicbDA1tXnhxrediJVk2tL2tONlpfLX+na0Ca35Z4NWCc63x7zehUI1UapZCIcLi4hh33VXjhhvqsvSaj/Tatc9GBeYkWReeF2hW2vHCvBUhtstv8b9SMG5+vsz8fISnnz5IuRyhr2/93j+/u+uJ9xFePVy4VqARSfLEXT+xjy3bnXjc/UamUnH40Y/8IyK1IrV4/+X7o5Ul6tEUH/nRP2zbPnfzXNo25PNBLl0KsbgYRCmIxWxCoY332WjkmJ7+OJUzf8BcfY7b+27nrv47ORo/QtIqUA2m+PThn9ryMWh9ZYg7uD3oU1MNBge3tzJCt8VVt7Wn01rj3y/C4QrJ5DzLy1Hy+TFe+coq119fJxTq3VxH7EyvXftINXghhBCe5jgOS0sFFhYsLlwY4DvfOYRhGAwNmfT1dc9Q927k1UJcrb3QfYVpltJXD/+uRdP0FbJt3edOnsty2WBmxl0X3bIMwmGHdHrjGgq2XWF29tNkMidZXPxbRkbexN/tu53JgXsIBq7UOSgHUwzXZrbU9tYe9HTa5tChGkND1o7n9XZbXHVbezptv2tw7KVIpEIiMU8+H+PChUO88pU1rr02v+kXXUL0AknWhef12rdrQrSTl+Pftm2KxRL5vEmhEODZZydZWEgRj68UjPPeMXeCVwtxRSJutlIuw3J6gmitcHXPeq1AIT3R1n1u9bm0LMjlgly8GGZ5OYBhQCJhEwis3wvqOBa53JfJZE4wO/tp+vtfztTUu7jjjj8mGExx5PyfErOKlFuS9YRVZDE6vu42W4vEJRIO1123uwS9VbfFVbe1p9Na49+bNInEEuHwMktLCRYXD/OqV1U4fnyJoGQ3vuela59Nw1m5i23eBkwCVeBZrfVcpxsmRLt44UQVYqe8FP9aa+r1OktLZQoFWFyM8MILY+TzKZRS9PdbTE5KL/p2bbeA126K0W2k3dut1a4knE/d/m7e+MXfcW9vzllPFWZYHDzc1mJjGz2Xtu0Wi5uZCTE35y65Fok43BD4HncsPsLQ9DS56ARPD93HdPI44Mb88vIpMpkTTE9/jGh0kqmpB7jhhl8nGr06yXx66D7efOn9gNujnrCKpMwlHht721WPM02oVgOXq7gfP15jeHh7Q9x3+1zsh25rT6e1xr+XBIN1Uql5TNNhYWGAYPAId91V4ejRvCTp4jIvXfusO2ddKXUc+CXgTcALwDwQBa4DKsD/AP5ca71vk2FkzrrYilBzHJRpykW88J9ej3/HcSiXy+TzdYpFxfR0mhdeGKXRCBEOa/r6bJmP2AZbLeDVjmJ06+2/3dtNp92elULBvWhbqQafLkxTi6RohBNMT9za9mJjrc9lITHGN0fu49uN65iZCWPbEAxqYjEHw3CLwr350vsphvqvSrBPDN3H0/mvkc1+BK1tpqYeYHLyAZLJazfc9+Vq8LUZFqPjlxN/y3ITdNt210GfnGwwMrL+Mmvt0m2FB7utPZ20Ov57m0MymScYLFEqRVlYGOXGG01uuKHO8LD/CuiJzfXatc+OCswppT4I/BHwFb3qQUqpUeDvAHmt9Z+3ub1bJsm62IpeO2GFaKdejH/TNFlaKlIoOCwthThzZojp6X7AIJGwSSadrq3m3k060QO+3SJdW21DJ4p/9fW5ycry8kuTle3sb7vPo9ZQLBrMzwfJZsOYpsIw3GruzZGZl/3AytD1UB9Fq8hTS09zKv915s1lBg+8h6mpB+nvvxO1g4zatqFSMXAcRSh0JUFPpTqboIvusFH894pwuEoisUCjAXNzQ6RSUW6/vcahQw35klZsqNeufXZUYE5r/R4ApVQEqK+6e1lr/btta6EQHeQ4/qmEKsRqvRD/WmsqlQr5fJViUTE/H+d73ztMpRLDMNze84kJG+jdi8691tpTvdycq3vHqQ/tuud4O0W6ttOGThT/Ms31L+a3ur/tHEO5bLCw4BaKq9UUgYBbzT0eX7+Nicp5vtBY4ImlU5yrnOPm9E28eewtvDqY5qEbfmXbx2zbUK0a2LYiENBMTpqMjVmbFqwT3rNR/HczpRxSqQWUqlIoxDl//gC33GLyqlfVGBhY3u/miR7RC9c+W7WV2R2PAS/fwm1CdCUvFZkQYru6Nf4ty6JYLLG0ZFIoBDl/foALFw7hOAFiMYdUypYq7luwXq/vsbOPukPKmz3HK/8fO/vorpL17RTp2k4bOlH8Kxp1s9NKZefHsdkx1GqKhYUgmUyYUsnAMNx54P39GxWKM5mf/yLZ7Am+MPNXXBM7yCsG7+anDv8kESNCwlymEExt+Tgdx03QLcv9gmBszGRszKSvz5YRKD62Ufx3o0ikTDyeo1YzyGRGGBkZ5hWvqDI1JQXjxPZ167XPTqwb/kqpcWAKiCml7gBWvpNNAxt8TyxEd/HCiSrEZsLnz5N4/HFCc3OYo6OU77mHxuHDXRP/pmlSLldYWmpQqQTI5aKcPTvB0lISpRTptM3oqINS3vk2vNM26vXdbk/16qQ/N3CYofz5l3wJsFKkK17OkS5Okyjn0EaAr77qZ1+yze20oRPFv+r19XsWt7q/tY6hHEwRzs7x5JNxlpfdC8Jo1KG/f/1zTWvN0tI3yGROMj39MeLxI0xNvYs3HP5Z3j73V+6cdRUiYS6vWRTupdtzE3TTVCgFo6Mm4+Mm/f32S4bat+pUccDt6IY2+MFG8d8tDMMilVpA6zpLS0lyuYPcdlud172uRjrdI98yiK7ULdc+7bDRd1XfD7wXOAD8l5bbi8C/6mCbhBBCbEP4/HkGHn4YK53GHBvDKJUYePhh8u98J/ax/bkINk2TUqnC8rJJuWxcTs6XlxOAIhZzSCZtJiakONBObdTru52e6tVJ/0D+Arc9fYLzh+4mP3j4JUO/zxx9Da957H+gHJtyYphCeoJjZ7/Kcv/Bq5Ku7bRhcegYp+74sWYS5xb/eu6Gt+wqiVunJM+29rdyDNVwmnIlwPJSAJaLVIwD1IbUpsPLS6XvkcmcIJv9CEqFmJp6gFe/+jMkEkcBWAI+Gx7g9twjDDeLwj029rbL1eBXH0+tpqjXDZSC4WGLiQmTgQFrSz2PnZoasR3d0Aa/2Cj+91ssViQazVOtBrhwYZQDBwxe85oqk5NLMhpEiFU2mrP+58CfK6V+VGv9kT1skxBt5aWhMEKsJfH441jpNE7KHTrrpFJYzdvL17rVozsd/6ZpUiyWKRSs5tzdGOfOSXLeSRv1XH/zZT+65Z7q1Ul/ujhDNdZPujRLfujoS4Z+D+XPc+bovS8pzrZ6ePt2e8sXh461NWGLxdyr/kpl7dEam+1Pa/jWyOu45esfZroWoahSpFWRQWORvzn4VqLRtbOhWm2GbPajZDInqNdnmJz8EV7+8j8lnb5tzUJx08njaybnK22o190EHWBgwOLaa+sMDm5/FYROTY3otTb4xWbxv/c0icQy4fAS8/N95POHuP32KvffX2n7soFCeOnafyuzQD6plPo7wJHWx2utf6NTjRKinbxwogqxkdDcHObY1b2VTjJJaHa2Y/HfaDSaPecWlYrBwkKcM2emKBbjgCIel+S80zbqud5OT/XqpD9WK1CNponWrhRzah2+vtXh7Z3oLd+OanVnCUCtppifD3LxYoRa7WV8OxHjVeqLHGxkWYyO8zdDb31Jcm2aBWZmPkk2e4KlpacZH38rN9zwqwwPvw6lNhiXvo56XVGruclWOm1z7FiNwUGLSGTn3aWdKOLXi23wi53Gf/vp5rJrBWZnB4lEDnPvvWUOHMhL0UPRMV669t9Ksv5xYBl4kpdWhV+XUupPgbcBc1rrW1pu/yfAz+OW9f0rrfX/07z9l4G/37z9F7TWn9nqvoTYyE6WvBH+sN48715jjo5ilEqXe9YBjFIJc3S0bfFv2zbFYol83mz2nCc4c2aKcjmO1leS82TSP8n5Xs29XW8/m/Vcb7Wn2lZBjp9+hJBtUo2mcZRBtFagFuu7/JjW4evbHd6+Xz2mG83dXs2yIJ8PculSiHzevTSKxRz6+iwKfUf5DEdf8jeO02Bu7nNksyeYn/8CQ0P3cvDgT3DXXR8gEIituZ+VddCHatPkohOX10EHaDTcBF1rSCYdrr++xtCQtW4P/nZ1oohfJ9ogc9rbYzvx3xmaVCqHYZSYmRkmlTrEG95QYXJySZJ00XFeuvbfSrJ+QGu9kwovfwb8AfC+lRuUUm8A3g7cprWuN9drRyl1E/BjwM3AJPA5pdR1WmvvfC0i9o2XTljRPhvN8+61hL18zz3useD2qBulEsFCgfz99+8q/i3LolAokc9b5PMhnntujMXFFEpBPO6QSDikUv5Jzlvt1dzbzfaz257rwdwZkoWZy73pQbNGvLRA0GkwN3IdaOclXwJ0ohhcJwQCG8e+1lAoBJiZCTI9HcZxIBx2NpyHrrVDPv81MpkTTE9/gmTyOqamHuSWW/4z4fDghvubKJ3mzZfeTzHUz3x0goRV5P7z7+fjQz/JpdhxYjGH48drDA/bHRkW3A2v22ZtkDnt7bNZ/HeOJp1eACrMzAzT3z/Im99cYXxcll0Te8dL1/5Kb1KBQin1x8Dva62f2fbGlToCfHKlZ10p9WHgj7XWn1v1uF8G0Fr/h+bvnwF+XWv92Ebbv+WWW/SJEydQSqGUwnEcDMNAa43WmkAggG3bm94PXP7ZaFa2cBxnzftbtxUIBHAcZ1v76lRbdrIvpRSGYVze1362pZOvwcr+AF8dt8TexvcPfuYz6FwOnUqhIhF0rYZRr6NjMfJve1vHXoNOHXfw4kXi3/gG4UqFRjxO5RWvwDp48PI+Lcva0r4cxyGXy7O0ZFMqxXjuuRFqtRTBoCYWs0ml3PV7HcedE1mtOgQC7oVho6EJhxW2rbHtK/cbBoRCinpdEwoptNZY1pX7lYJIRFGraYJB9wPWsjTRqPs3Wl95bDDofgibpiYSUW1rSzTq7n91W5Ryj3d1W65/7INEnDpmIo1dMwnGwgSKSzQCUZ5/1Xtesq+12tK6L7ctLz3uV7z4CcgtYKUGUIbCrpvEAyY1HeLUrQ/u+rhf8eInYHGBoG0yYs4Rms9ix5MUk+PkUgfop8SSkeLcgbupTx27vK/BwkWmXvhb+pwihVAfZ6decfn+dhz3yuuxm9cbNIahsCx91XGXSopaLcQLL4So1w1SKY1t28SaneGNBiQSikpFN3u5FZcufZuLF09w9uxJAoEk1177Lg4c+FHi8UMkk4pSyW1rKKSoVt1jsSz3OV65//uyHyQZbpArRyAQxnE0ifoiycP9fPOmHyaRcFqOe/3YW33caz0v670G4/UM4999lGRlgdrIAV4cuo3y2NE1X4NOnXN9i+c5cPox+lWZJZ3g/OF7qE4coVbTvPw7HyFsVqgSJZSIYFUbhCoFGBrmG9f88I6Pe69jrxve98JhRTRqkM/bbXvf2zj2wDBm0brK0tIYfX0R7rqrxuCgua/XPft9rSHXe/vzGoRCoWacWz0RezfccMOTWuu7WMNGS7c9A+jmY/6eUuoM7jB4BWit9cvW+9sNXAe8Vin1W0AN+EWt9Tdwl4h7vOVxl5q3rdWunwF+BmBycnIHTRB+03pCCbEimMvRSCSuuk0nEgTn5/epRbtjHjjA0tTU1R8kgGEYm37D3Gg0WFxcZmnJplCI873vHaRcjpNKKcJhk74+8/KF4pVVPP0tWZqjPDBx1bPRCMdJLrd37m2yPM9iJElrgeRGOE4yl23f9sNJGkaAbGISs+8GjJBBqrzA07e/++qL9Za/Wx44xPztB6++WG9Li9onHFaXk3XLgmIxQCYTZH4+SDqtMAybdNoiHleUyy/9+0olw7lzH+HChRNUq4scPfojvPGNHyCRuIV43KBed497MytV3OPFefJ9B0A3GBy0iEVtgirEoJrlxYSzJ0ODl/sPMnP7u69OWju/26ssDRxi4fZDVyetzftS5XmKyVFoXBlY2YgkGCgv7HEre184rAiH9+L92iGRmMUwGmQyYxw4MMz3fV+Nvr5CM0nZgyYIscrKtb8XrNuzrpTacByo1vr8pht/ac/6s8AXgV8AXgE8BBwDfh94XGv9/ubj/gT4tNb65Ebbv/nmm/VDDz20WTOEzwWba9pYlj+H64q1DTz0EEa5fPU872IRJ5Eg/+5372PL2mu9+K/X6ywtlVha0szPx/nud8epVqOEw5q+vq0tBeVndz3xPsKr597WCjQiSZ646yd6Zj97dRz7IZEwKJUCfO97xlXD3KNRvW5ibJrLTE9/nEzmJMXis4yPv43JyQcZGno12ykU5zhQq7nroAP091u8e/F/0h8o4qSvvOd45bluFy/H415LJt2v+EqlznRUKGXT1zeHZZlkMuMcPWrw8pdXGBiQGaxi//Xatf+tt966/Z71lWRcKbXWJKziDttyCfiodr8h+LpSygGGgQxwsOVxB5q3CbFrm031EP600TxvL1mJf6019XqdxcUShQLMzCR57rnjNBphIhGHvj6b/n5zn1u7fXtZjGowd4Zbn/kYBzJPEWpUUFpz8eCd5AcOrTn/tx1t6/Q84/2ex9yJ12+lmvvycpR6XVEsOhx3vsedS2sXdrPtGnNzf0M2e4Lc/Be5KXGUn4wf49C1v8S3R9607rJqq1kWVKsGjqMwDHcd9LExk74+m3BYk8u9mkOnPkS1prt6rv9+2u949JJODSY0DIu+vlkaDYdz5ya47jp48MEKfX2SpIvu4aVr/63MWT+Hm0jnccc/9gMzwCzw01rrJzf42yNc3bP+c8Ck1vpXlVLXAZ8HDgE3AR8A7sYtMPd54NrNCsxJz7rYinA4DLhDfYVo5ZVq8OuxbRvbtsnnyywuOmSzaZ5/fgzTDBKPu4W0DGPz7XSr1mJUrRf2nShGNZg7w6sf+x8MLpymFusHNKnCLHYgyNzYTcyN3XBVotnOtq0ktKlmEbl2fyHR6e1vtN92PUe2DYuLV6q5KwXXXAPBoEZ/74XLhd3KwRQJq0iiked9yRt5Jv9VZmY+SSp1CzcN38dPNRbQ0fHLj0uZS3z2wI+vm7A3Gopq1T2JwmHN2JjJ8LBFOm2vWY17v57rXiLPUXsMDbn9cblce3oW3SR9hnpdk81OcOONDi97WZV0WqYYiu7Ta9f+O+pZb/E3wMmVpdSUUm8GfhT438AfAq9c64+UUh8EXg8MK6UuAb8G/Cnwp83h8A3gJ5u97N9uFp/7DmABPy+V4EW7eGmtRdFejcOHPZGcr/SaV6t1ikWTWk1RqymWl8MUCmnm5iYpFg3icYfhYRuleq8HfS3Hzj7qJnrNIbMr/x87+2jbL+6PnX2UeHmBWnwAKxQFoNg3DlozN3bDS4botrNtnV7+bL+WV9vtc6Q1FIsGMzMhpqfDWBZEIlequddq7hD01+QeoRjqpxRMk61leWLpKZ5aeoJ4MEXqyM/w2td+hVhsih84/6doI0g55C5Zt/L/7blHLifrK/PPG40rS6xdc02NwUGbxBbmne/nUna9Qp6j9th4nXVNIGBhGBaBgE0gYKGUhVI2hmEBDo4DWqvm/+7PZ89OcvPNFvfdVyaZlCRddC8vXftvJVm/R2v90yu/aK0/q5T6Ha31zyqlIuv9kdb6Pevc9ePrPP63gN/aQnuE2BavFJgQYqWyabVao1RqUK1qajWDUinIwkKCmZlBqtU4Wrs9fbGYw+gojI9rkklvJOit0sUZllPjV91WjyRJF9tb5G1lXyGrQbVl7XErGCVaXSa1xv72sm29aqfPUb3uDnO/eDFMpWIQCGji8Zf2ZK/87hSf5+HaJZ5cOkXdqXNn/8v5uSM/y63AXxz/hcuPH6pNMx+duGob5WCKoeoMlYo7/1wpGBiwGBurMzBgt20NdCHaSxOP51CqjFJcTrhbL4csK4RpBqlUglhWCK1jGIZBOGwQiShiMU087hCPO8RiDuGw5v77ix1ZVlCIdvPStf9WkvVppdQvAR9q/v5uYFa5lVbkjBVdz0snrPAP27ap1+uUSnXKZZt63aBcNlhaijE9PczycgLHCaK125sYizmkUpp02gaufKMcjwfwagX3QnMd5quKUdVLFFNjHdnXcPB5glb9cs960KphBcNr7m8v29artvMc2Tbk80EymRC5nHvpEos59Pev3XvSaOQ5c+YTnD79YR5e+CZ3pW7kXVMPcDR+BEMZJMxlFoOpq/4m11z7vBzqQztgWgaxepHpwAT9/Tbj4yb9/RahvS6fLsQ2RCJlEok5CoURkslD9PXViMUcYjFNOKwJhVb+dy7/HA43MIzeGC4sxFZ46dp/K8n638Edwv6x5u9fbd4WAN7VmWYJ0T6yZJvoJeVymWy2wuxsjNnZNPPzE5hmGK1Vc61zh2jUYXRUA5v3ltfr3u3528tiVGeO3sv4zLevmrMeqxVYGDjKmaP37mvbetVmz5HWUCq5w9yz2TC2DaGQvjzMfTXbrjI7+9dksyfJ5R5lcvJNXHfdP+aa647yA9mH3DnrQMJcJmUu8djY2676+6cG7uP+c39BLWBQDqQYi+UZi+d49u43cOtYddPj2UmxvI3+Zi+LJ4reFwiY9PVNk89HWVo6xvd9X4UDB5Y8NRxYiK3y0rX/pgXmupkUmBNbEWp2g5im94YBC++wbZvp6UXOnu3jiScOkEg4JBLu0MPd6O93xwIvLXnzgm0vi1GtVIOfypwCNJemXs6zt75j3f1JoazNrfUcTSePs7DgDnMvl1eGuTtrFmzT2mZh4ctksyeZmfkU/f13MDX1IGNjP8jUVD8Ac3MOE6XT3J57hMHaDIvR8cvV4B3HreBumm4F91ujz3Nv/QuM2dOU+7b+mu2kWN5GfwPsWfFE0esc+vtnaTRsstkpXvnKGjfdVCMWk2sf4V+9du2/UYG5jdZZ/12t9T9TSv0l8JIHaa1/uL3N3D5J1sVW9Npai8JftNYsLxfIZi2++lV3KbWREXPTQlVblUq589eLRe98yyy8x3Egnw+QyYRZWLgyzH2tL6u01hQK3ySTOUE2+zDR6DiTkw8wOfkjRKNX5sAPDbknUS539TZWEnTLcuegj4xYl4e4B7cy3nANO1kffKO/AWS9cbGpRCJPMLjMhQuTXHed4q67KpfnlMu1j/CzXov/nVaD/z/N/3+n/U0SYu/08ugR4W2NRoNsNs93vzvOc8+NMDJitX2tcxkBKbpZqWQwOxskkwljWWrDYe6VyjkymRNkMifR2mRy8gHuuedjJJPXrbnt1g6VTiTorXZSLG+jv1FoKVAo1hUOV0il5shmB0gmD/GOd5QYHr76zV6ufYSfeSn+1/2IWlk/XWv9iFIqBhzSWj+/Zy0Tok0CzbGTMm9LdAutNQsLeTKZAI8+ehPBoOLAgc4M1YrF3J71SkV61kV3aDQUuZw7zL1YNAgEWLOaO0C9vsD09MfIZE5QqZxlYuId3Hbb79Pf/4pNCwglEopazWB5WWMYMDpqMjZm0dfXngS91U4KCm72N1KgUKxmGBb9/dMsLYW5ePEI991X5vDh5TW/3JJrH+FnXor/TT+ulFI/hNu7HgaOKqVuB36jG4bBC7EVXjhRhXdUq1Wy2SJPPnmQ6ek+RkfNDROH3RaZ2nitXW/p9oJc7W7fWtsD2rKPdrfVcWBpKUA2G2Zuzg34aHTtau6WVWZ29tNkMifI57/G6OibufbaX2R4+PUYxsal2B0HarWVZdYUw8Mmt91mdiRBb7WTgoKb/Y0UKBRXaPr6ZrEsk9OnD3D33XVuvjm/4coEcu0j/MxL8b9pgTml1JPAG4Evaa3vaN72jNb61j1o34ZkzrrYCi99uyZ6l+M4zMzkuHAhyWOPHSadtkmnN06kd1K0arVEwu1ZL5e9nbS347nqpfattb2B3DmUoVgcOLyrfbSzreWywdxckEuXwpjmlRUNDOPqxzmOxcLCl8hmTzI7+9cMDLyCqal3MTb2AwSDyf8/e/8eJcd13/ein6p+v3um59k9wAADggAJgiD4hEhQpESLpiRaEm3QkhPHOcfJtc9K4qwkTm7uSW6Wc/I6K45vnJv4XMc+jpMoskMJkChLth60JZkSKVISSFCkSJEUgcEA093z6p5+v+qx7x81A8wA8+qZ7pnu6v1Zi2uI7updu3Z9q7t+tffv+9twH0JcN4lTFBgY0Bkd1UgkTJzO3dP+dgwFN/qMNCiUAAQCOdzuRS5fjjMx4eCBB8oEAptrWt77SHqZbtP/dnPWl9GEEPkblpvZJxFAYnu67YKV2I9isUgqVeellyYoFr3E49pNwcpaTEy+YAVMS0thl/9OTL6w5Zt2j8f67i6Xt9f3bqEVY9VOWt2/tdoLVDMApEeP72gfO+2rpilkMg6mp93k8w5U1Vrm7vev3k4IQS73CqnUOVKpZ/H79xOPP81tt/0LPJ6hDfchBNRqCvW6iqJALKYTj6+ugx4IWN/9u6X9bGyi6XO50We2057EPrjdVUKhWWZm+vB4DvCxj5UYGtq6WZa895H0MnbS/1aC9TcVRfkrgENRlMPA3wW+295uSSStww4XqqQ70XWdVCrLe+/F+OEPDxGL6YyMbP1mazumVTdSq/XGs9VWjFU7aXX/1mrPqdeB1cmr29nHdvoqhLXMPZ12MTvrwjTXX+ZeLl+8ZhSnKArx+BkefPArBAKHNuyXEFCvW3noigJ9fTq33FKnv99Y0zW+V7QvsRfLeemFgovLlw/w6KNlDh7MNV0hRN77SHoZO+l/K8H6rwH/FKgD/xP4OvAv29kpiaSVqEtTmHa6cCWdjRCCxcU8qZTJd75zBHCSSDRfjm07plUr6c9c4tjU6wRL88xXPR2/jHYnedI7Hat293Wj/q3X1kb7WKs93em5ab/bGYOVbQfKCwwsvEewNE85EKM/c2nVMu2xd17ANTvPpXqCd4MfZD40QTBo3LRypF6fI5X6AsnkOWq1aUZHn+Lkyd8nEjm5oVHccoBer6sIAX19BhMTVfr7DTyejYNxl+t6u53uZyCRKIpJJDKHpmlcuhTn7rt1nnwyh8u1vYdO8t5H0svYSf+b5qx3MjJnXbIVXEtrIjWtPW7bEslK6vU6qVSON95IcOlSP4OD+pqzflthJ7nDy58V+8epu/2IZLqjcrhvZKd50ruZs76dfa33mUsHH2Ji8sUtv768j93IWVeEyfDMWwjVgSIMZoduQ6gOvn/8F1jMOjjxymdZMPopO0NE1TxRM8dzY79IOmjNkOt6kZmZr5BMfo5c7hWGhz9MIvE0sdj7UdWN5wqWZ9CFgEjEIB7X6O/X8Xq3fi2Fw9YySOfkTzraz0DS2yiKQSQyh65rJJMjHDyocv/9ZUKhnXktyHsfSS/TbfrfKGd9KwZztwL/EDjAipl4IcQHW9jHbSGDdclWsFPeiqRzMU2T+flFpqfdvPjiQXw+1lwC3CzbNZm69/yncddLiCFrVrVRqOKpFWh4gpy/95d23K9Ws9zfVTPPTfZ3twy5ttvXtfo3MfnCmm2NzvyI9MgdG+5jrfaAloxBf+YSH/jL38JfzlAODjLff4h5dRhtocR8NYIQEFaK1H3hayvvA1qeksPP//DtJ5U6y9zcX9Df/z4SiTMMD38Yh8O/4T41TaFatQL0YNAkHm8Qi+n4fNt72OX3WzMrt3/7v+1YWxJJq1FVnUhklkbDJJkc5dZb4a67KkQirblXkfc+kl6m2/S/U4O5s8B/Bv4A6I4jlkhW0G0XrKS7ME2TXK7A/LzG+fPjZDJBhoa0NWtGb4ftmkwt5x0Hgl7ACtY7KYf7RlqR071bhlzb7eta/bvr9XNrt1VIc3n81Ib7WO94WzEG2dgEi/0HeGfkQYolJ4szTgwTHEqUUVKoqmDeOwqKlfYxWbnM+dx5fph7DWfkThKJpzl27N/idsc23I+uQ6XiwDTB5zM5dKjGwICB379zB3ev13qK0Ol+BpLewgrSZ6jXBZOTo9x2m8np0+VNq4M0i7z3kfQydtL/VoJ1XQjxu23viUTSJuxwoUo6D13XWVjIk8nA668nmJsLE4kYjI52xpKr5bxjrXy97FU7c7h3ym7nnO+EVvZ1vbYK4dE9G496XSGTcfL6wn4clTJllxe328TtsGbPFz1W4JsvX+I7pXd5JfcqTtXFg6Hb+fVb/h4/OPyPNmzfMKBSUTFNBbdbMD5eZ3BQJxg0m/Z12Pg4rBn5btKWxL44HBrh8AzVqsrkZJw77tB55JEywWB7SgvKex9JL2Mn/a8brCuK0r/0v19WFOVvAc9imcwBIITItrlvEolE0nHU63Xm5grMz7t59dUJKhUP0ahVNqqTuHTwNCcvPINe89NwB/DUCviqOd4++sRed21NlvsLrMor7sT+trKvK9sKFdIcmHoZf3WRhb5xRoUgPXq86X1sx0zNMCCXc5JMulhYsG4NGtFHebLxPxg05hlYTNNXn2NGGPy74GF+uPgyZnWa+yJ38sv7/zpHnCHCep7nRn92zfZN0wrQDUPB4YB4vMHwsE44bLQ0QF/JcpZfN2lrO0jzvM7G6WwQCs1SqTiYnExw4oTGY48VW7J6RCKR2J91c9YVRZnEqqe+1s+oEELs+S+BzFmXbAW32w1Ao9HY455IuhUhBJVKhbm5MqlUiAsXxgCV/v7rNZ07kf7MJY7X3yRQXmAu7+j4m/jdyjlvBa3sa3/mEvd/779y+9tfoeoNsxjdjypMQoUZpg48QN0b2fI+mjG/EwKKRZXZWReplBtdV3C7TXy+6zPcd859i5+++Nt8sz7Ll7Uc7+oF7gscwn/w7zASvZu7sy/QX5sh6x3htdgj18zlltuvVlU0TUFRYHhYY2REIxq92S2+HfT3W8sgs1mjq7TVDLtprChpDqezTjg8S6nkYm5uhLvvbnD77dVtezA0i7z3kfQy3ab/beWsCyEOtq9LEsnuYaelMJLdRQhBLpdnfl5jcjLG228fwOWCwUEdVe38WZFsbIIf+G8BoFLpjv52S4DRyr5mYxMEqhlmhm+n5o+uei9QyfK1D/+rLbc1MfmCFbgtLfle/jsx+cK1/larCgsLTqan3VSrKqoq8PuNVT4LhlFnfv4vSP3k3/EfSu9wOHiYe2If4RdDtxM1KlTNCl8N3cpXQ7eu2v/KUmsAAwPWqpNoVMe5lcS7FrKyzno3aasZtnK+JbuLy1UjFJqjUHAzObmPe++t88QT+U1LDbYaee8j6WXspP+NlsGfFkK8sMH7YWC/EOJHbemZRNIiNqrhK5GshWEYLCzkyGTgRz+Kk0pFCAZNRkf1ti3ZbRe7HSBJtkekkCYXjq96reYNEymkmmpnPTO1QG6WdNpFMukin3egKJah20rnaSFMstmXSCbPMjPzZUKh2/lZzzCfTJzB77zufVBWQgzUZlbvY6nUGkA0qnPoUJ3+fmPbZQtbQS9oX5rndQ5ud5VgcI583svk5H4eeKDKRz+a37NrQN77SHoZO+l/o5+yn1MU5TeBrwGvAPOAF7gF+AAwDvx623sokewQO12wkvbSaDSYm8szP+/iwoWDFIteolGDRKKz8tGbQeq/O8iHR/HWCqtm1r21AoXwaFPtrDRTM00oVxxoC1Xere7nLcWL12sF6CtlUSi8STJ5llTq87hcERKJn+fhh5/H5xvjrqk/xKcXKa/YR0AvkvWOXCu1ZppWqbUjR2rEYs3VQm8nvaB9aZ63VwgcDh2HQ8Pp1PB6cywu+rhyZZwHHqhy+HAOl2tvr4Ne0L9Esh520v9Gy+D//pLJ3M8BTwOjQBX4MfB7G826SySdhGl2/vJfyd4hhKBarTI3VyadDnDhwhEMw0EsZhAKdW+Qvoymte6G0a5GViuPS1ecKIBD6Lt6jD+ZeD+PPv8fEKqDqjeC5vLiNDReOvU3m2rnvfHTHPve58hrTmarUfxakaiZ5+2DTxINXZ9Fr1anSaU+TzL5OTStQCJxhvvu+yzh8O2r2nst9giPT38GgLIzhK9exF3N8/XBj2MYChMTlpN7J5pltVL7nYrdzfPaj0BVjWuBt8Oho6o6iqKjKAZCCEwTTFNhpcWTEAq67qRed1EsujCMcU6dqnDo0GLHrOiQ9z6SXsZO+l/XYK4bkAZzkq3QbSYTktYhhFjzP9M0EUJQqzVYWGgwNdXPm2+O4nYL+vv1XTG/2i36+qxE5MXFneVv2dXIauVxObUaB6deQgjB5YMPoTs9u3KMy33wVbKMzryJv5pFc/l44X3/G6+f/NSmn182ipuft5a5D+Uv8UDxm4yIGRZ9143fGo1FZmb+hGTyHMXi24yO/gzx+NP0959CUdYX/VD+InfMPE9/fZZF3zDTR04jbtnf8lJrraZV2u907Gqe1x4E4fACQlTRdUvzuu5A09xomhNddyGEA5fLicul4veb+P0mgYD1n9st8HgEbrewyhku/dvpFB13Lch7H0kv023635bBnERiF+z0dK3XKZVKzMzU0TRrlkMIMAzl2l9rBsSaBVn+axgqhqGi68t/Hei6C11XqVT6yeVC+P0mo6Nax91stYJWzS7a1chq5XGNzL5F1RcBFAYyF5kaP3Vtm3Ye43Ifcn37SSfuAsBTK+A2Nr7JqFRUFhYcTE97qNUUVBV8PoNy/ADf5JcBMIwqc3NfJ/n2b5DJfIfBwQ9y8ODfYnDwMRwOz7ptmybUapaTe8lxK+W7DzIyohEOGwRVgM7/Xu2FmXWwr3lea7GCdEWpkEoNMTgY4/bbq3i9qwNvt7tum4e18t5H0svYSf8yWJfYnm5ePSKxEEIwP5/lvfcCfO97E6tuplQVFEUs/QVVFUt/V7++1nteLx1XH73VtOr3yq5GViuPy1vLU/NGlv6/AOzOMTYztvW6QiZjObkXi+pSgG4SiVw/0UIYZDIvkEyeZXb2K4TDJ0gkznDixP8Plyt8U5vXPwe1muXkrqqrndxXOsV3Cza6V5Nsm+UgvUwqNczgYIyPfrTM4GBtrzvWduS9j6SXsZP+ZbAusT2OpbtMO5Vx6CUMw2B6eoFXX93HlStR4nHNNjMfu4HPZw3WTku32dXIauVx1bwRnHoNUKgtHeduHONmY6vrkM06SaVcZLPWz7bXaxKNrnRyFxQKry8ZxT2LxzNEInGGI0f+KV7vxiZ1K53c+/p0brmlTixm7LlB1k5plfYl3cj1mfRkcoihod4J0peR9z6SXsZO+t9SsK4oyh3A7Vhu8AAIIT7drk5JJK3EDhdqr1Kr1bhypcDzzx/BMJy2nwXfLhsZv1WrrQlU7GpktfK4FvonVuWse2qFXTnGNce2kuPlkY/y1lteZmddCAFut0k4vNrJvVKZIpk8Ryp1FsOok0ic4YEHvkAodGTDfS47uQvRmU7uraAV2rerqWIzdNcY3BykP/lkbwXpy8h7H0kvYyf9b2owpyjKbwCPYgXrXwE+DLwghDjT9t5tgjSYk2wF55I1q67re9wTSTNkszkuX3bw/POHiMV0fD77BBGtZDPjt1DIml0sFlsXuNjNyGrlcRmKAwVQhbGrx9ifucTEpRdwL8wxbcb5pvoYU+5bcLkEPp+5ajVJo5EhlfoiqdRZyuWLjI5+gnj8DH19929YrkbToFp1IIQ1M59IaAwM6AQC9px53qn27Wqq2AzdMwZWkA5WTvrQkIf77y8zONi7v/vy3kfSy3Sb/ndqMHcGOAFcEEL8r4qiDAOfaWUHJZJ2Yqdai72AaZqk0xneemuAH/1omNFRrSvzZXeLzYzfHI7W6d+uRlZ7fVzlsspk4ShfbtxJza3gcAj8fpOo4/rMgGFUmJ39KsnkObLZlxga+ikOHfoHDA5+AFV1rdu2rkOlYgXoHo/gwAGr1Fog0NlO7q1gp9q3q6liM3T+GFzPSU8mh3t6Jv1G5L2PpJexk/63EqxXhRCmoii6oihhYA7Y1+Z+SSQtw06OkHan0Whw9eoiL700QT4fYGxMLnvfjM3MyRoNuSKhE6nVFBYWnCSTbkol9ZqTezR6fRvT1MlknieZPMfs7NeIRu8mkfh5Tp78fZzO0Lpt67o1g26aCm63yfi4FaB3eqm1VrNT7dvVVLEZOncMVs6kyyB9LeS9j6SXsZP+txKsn1cUJQr838ArQAl4qZ2dkkhaibq0ftRO+St2pFgsceVKg29+8xiBgGBoSAbqW2E9czJTcXDv+U8zFGxQDAzypv94h8yE7R5bzbVdazug5Xm6mqaQyThIpdzkcg4SlYt8uPJNhvU0Ge8or6mPkHJOkM9fIJk8Szr9LF7vGInEGY4e/ed4vdeN7kZLF7kr8zyxmvXZV6KPcFE9jGkquFyCffusAD0U2vsAfa9ynt1u68Arle193q6mis3QeWNwPUhPJocZHl4O0qt71J/ORd77SHoZO+l/w5x1xVpDMCaEuLr07wNAWAjx+u50b2NkzrpkK3Rb3kqvcb0sW5DvfW8/Q0MabrecDd4qa+WU9i9OIUzBYuwAjI7gaZRRp692YJ5p+9hqru1a2/VlLqOoCtm+8R3n6RoGLC46SaddLCw4MU3weEwO6u/x08nPUHRFKTtDlCpTXFj8Pl+vpdEVJ4nEGeLxMwSDt9zU5mjpIo9Pf4aCI8qiGcGvF4kai/zgzk8hbhm/yYRuL9nLnGeZs75zOmUMVFUnFMoiRJVkcpiRETf3319mYED+rq+HvPeR9DLdpv9t56wLIYSiKF8Bji/9+3LruyeRtBc71Vq0G8tl2V55ZR/JZJREotExQUa3kI1NcOHkp5ZmLi3jt0JwGN3lpe4N4zYENYcfxRftoDzT9rPVXNu1tgtUMwCkR49v+Nn1EALyeQezs05mZtzourUcPRg0rhnFnZx6nmnFyYv5H3I+9ypZLcv9odv5ldFP8NbR31g3384w4Lbk88wb/VTUCJGoQSjso486HxTf5Hzkl7YxWu1jL3Oedzqhsta19fbRJ3rmGoK9GwNV1fH7CzidZTQNNM3J9HQ/w8MDfOxjZQYG5Ez6Zsh7H0kvYyf9b2UZ/KuKotwnhPhB23sjkbQBO9VatBPVapUrV4o8//xRhHAwMiKXvW+XGw3SPvit36TsCQLgCloVN8v5Tsgz3T22mmu71nZOvQ6sDpY3y9MVwjKKm5uz8tA1TUFVBX6/scogUddLzMx8hf/70u/wbm2GY+FjfHj4pzkSvBUHCgO1GX58Q6BumlCtqui6gsMB464U2tgQCX/t2sOtuujM87uXOc+tqLO+1+aDncBujIGq6vh8BdzuEo2GQqPhZHY2gtPZx8SExtiYxuBgFZ9vmzkNPYi895H0MnbS/1aC9QeAv6ooyhRQxrqDEUKIO9vaM4mkRdjhQrUb18uyHSMWM/D55DlqJSvzTLWSZbgkc23XHoO1ttOdnpvaW2/8qlXLKG562k21qqIo4Pcb+P3XtzFNjfn5b5FKnWVu7s/p7z/FR/of4lf9+9E9g9e2C2h5sl4rsBXCCtA1TUFRYGhIY2REIxo1cF8YIFgvUFc6JY94ffYy57kVddYl7cGaOS/idJauzZzPz0dwOvs5eLDB2JjGwEADv7++113tWuS9j6SXsZP+txKs/3TbeyGRtBE7lW/odqyybAu8+eYgb74py7K1i0sHT3PywjPWP6I+3PUyjmqOt48+0dL97JVx2FZYOQYrc21vHIO1tiv7YiiqgqdWWPOzjYZlFJdMusnnHaiqVbc8Erl+cyCEIJf7AcnkOdLpL+L3HySReJrbb/8/8XgGcJYuMjD9GYpanrIzREAvEmzk+MvozxBMX+be3LfY70xiDA+Ruv1BCsMTG/Z5rWNbptXnqZn2ttLXVvZvZVv1/YeY2nc/Ffe+jtZqL6CqxrWZc02DRsPB3FwEVd3HxERjaeZcw+9f3Ouu2gZ57yPpZeyk/w0N5gAURdm/1utCiCtt6VETSIM5yVZwuawaxJoml1nvJctl2b773UMUiz4GB7vD9KNbWQ5OBoM65eAAP/Ld0dLgpFOMpzZieQxCS7m2m7nBr9wOWPXaT/af5qJ6K6mUZRQHllGcxyNW+SyUSu+STJ4llfo8iuIikXiaROIMfv+Bm/a77OgeKc8wo4zyg8gHCIUMfi733xH9EXR/YENjvK0eWyvP03ba26ivrezfjW1F+114awXe8hxlYvLFjtaq/RB4vWV8vsWlmXMHuVwERQlw4ECDffs0hoZ0/H65+qFdyHsfSS/TbfrfyGBuK8H6G4DAWv7uBQ4C7wghjrW6o80ig3XJVrBT3kq3cr0s260EAoJQSN6g7RZ+/87zdtfi3vOfxn3j8uZagYYnyPl7O8vkbLuY5rJRnIuZGRemCS6XwOdbXQ6tVkuTSn2BZPIc9fos8fhTJBI/Tzh857pP9zUNKhXruykQMEkkGsRiOg+/+d9bOq6tPk+d3N6NbbnDPty1IgPvfp/0yB221mqn4HTWCYUW0HWDXC5ItdrHLbdYOedDQzqBgPzu3y3kvY+kl+k2/W/bDR5ACHF85b8VRbkb+Fst6ptE0nbsVGux3ZimST5fIJPRKJWcCLEy0Fg9g7jRCqMb38vnA5w/f0iWZdsDXK72LAXbS+OwdiIElEqWUVwqZRnFORw3G8VpWoGZmT8llTpLLvcaIyMf4bbbfoNY7GEUZe3cDsOASkXFNFU8HpNDh+oMDKwOYFo9rr3U3o1tOTwuDHeUcCHN5fFTLeuzZDWqahAMZlCUKqWSl8nJUQ4fNnnkkRrDw7lrFRAku4u895H0MnbS/1Zy1lchhHhVUZQH2tEZiaQd2Kl8Q7uoVqssLJTIZp289dYIc3MRHA6xYUC+0bCufs8KdmRZtr2hXfrfS+OwdlAuqywsWE7utZqCqoLPd6NRXIO5ub8glTrL/Pw3icVOs3//X+fee/8Yh8O3ZruGYRnFGYaC0ynYt8/KzQ2FzDWvh1aPay+1d2NbwhS46yUK4VFbabUzEAQCedzuAtWqg+npAYaGBrjrrir79hVwueTv7l4j730kvYyd9L9psK4oyj9Y8U8VuBtIta1HEkmLsdMF20oMwyCbzZPNmkxPR/nxj48ihEo0ahCPd0eOj2Rz9C1YA2zHfKtZk7NOZNnJPZVyUyqpSwG6SSRyfaZbCJPFxe+RTH6OdPrLhEJHiMef5rGDv8apwmvECm+SaWR5LfYI6eChpc9YAXqjYZVaGxnRGB7WiESMTWcZWz2u22lvIz1stb2taqqVx3tjW87iIu5anlfv+iQTky+2ZB+9jsdTxu/P0mhAJhPF4djPiRNVPvjBGoGALKvWSch7H0kvYyf9byVn/TdW/FMHLgOfF0LU2tivLSFz1iVbwe12A5bBWa8jhKBcLrOwUCWT8fD66wkKBR9+v+VkLWe+7UcsZj2TzWTWjtp3YvC1VZOzTqJeV8hknKRSLgoFB4piObnfmJ5RLL5FMnmOVOocDkeQROJp4vEz+P37GC1d5PHpz1B0RVc5uf/p0F9j0nkYgIEBnXhco69Pb7riQavHtZn2tqKHzdprVlOtPN6VbZlHbuPqvnu4ZIx2pVY7BYejQSi0gGHoFAoBSqUYd9xR59ChOrFY9y8xtSvy3kfSy3Sb/ndqMPe0EOLsZq/tBTJYl2yFbjOZaAeappHJFFhcFFy6NMB77w3icCj09+tyuaLN2cxgrheM4hoNhWzWQSrlIpdb38m9Wp1eMoo7i6ZlicfPkEg8TSh0bJVR3Ien/hCfXqTsimAYClpDIaAVEEE/P3zwrxGL6V3rzdAKPXSKptplrtgLKIpBKJRFUaqUy24WFgaZmBAcPVpjdFSTeehdgLz3kfQy3ab/HRnMAf87cGNgvtZrEomkgxBCUCgUyWTqzM35ef31Q1SrbkIhg3hclk3rFTZbLWFXozhdh8VFawY9k7F+6txuk3B49QoSTcuTTv8JyeRZisU3GRl5kttv/zfEYg+hKGtHJH2VNCk1gampuFwwOKgRDLgZqF9lbrS7U0haoYdO0ZRcKdQcDoeGz1fA5SpTrTpIJmP098e4884a+/YVu/YBlEQikXQz6wbriqJ8GPgIkFAU5T+ueCuMtRxeIukKuu3p2k6p1+ssLBTJZlXefnuYdDqK0wn9/Tp9fd0dSEiax+OxIpZyee337WQUZxiQyzlJp13MzzsRwiq1dmOAbhg15uaeI5k8RybzPAMDj3DgwK8wNPQhHA7vmm2bpuXkbhgKs45R4oEczlgQj9dEwZo57sYxu5FW6KFTNLWZ9nsdl6uGz1dAVWs0Giqa5mR2NoLHE+PYsSqPPlonFKrudTcl26TX7n0kkpXYSf8bzayngFeAjy39XaYI/P12dkoiaSXdcKG6p6YIvPwyrrk5tKEhyqdO0Rgf39JnhRA0Gg0KhTL5vEkqFeKNN27FMJxEozqjo/LZmh3ZzMBr+f1+tUgpOMTbsXvabvC1F6yshT4760LXFVwuk2BwtZmbECaZzIskk59jdvbPCIePE4+f4cSJ/4TLFVmzbSGgVlNoNFQUBYaHNUZHNdDvZ+yHz1BFpy62PmbbMfLbbVqhh93Q1HpjufL1WuIgl/c/AN79Ldtv9yLweCp4vQWE0NE0hXrdw/R0lHDYycGDGiMjGgMDdbzePbckkrSAbrj3kUjahZ30v5WcdacQoiPv9mXOumQruFwuwMrb7kTcU1P0PfssejiMGQyilko4CwUWn3pqzYDdNE1qtRr5fJVyWVAuO5idDTI1FaNS8eL1mkSjm7tOS7qXzQy8Vr6vJEbxNCooV6Z2xeBrNzBNKBQczM05SafdGAY4HAKfz1xl5malgvyIVOosqdTncbtjxONPE4//LD5fYt3263WFWs26gPr7dRIJyyjOueLxdrNjthMjv92mFXpop6bWG8tLBx9iYvLFa69Hwg68tTwvJ57ouDFuN4pi4vWW8HiKGIaBrquUy36KxQjDwwoHDtQZHNSJxXSWfiIlNqPT730kknbSbfrfVs66oihvAGLp/1e9BQghxJ2t7KRE0qsEXn7ZCtRDIQDMUAh96fXG+Di6rlOpVMnn61QqCoWCk+npKOl0Al13oSiCYNAkHDaJRrvjS0myMyYmX7ACkqVlxst/JyZfIBubWPW+V1Gpe4IIX/Ta+zeSjU10fDAjhBWgz89beei6rqCqAr/fuMltvVK5Qip1jmTyLIZRIR4/w/33nyMUum3d9jUNqlUHpgnBoMmRIzUGBnQ8nrUfaDc7Zpuds1ay0xn8VuihnZpabyzvfu2zpEfuuP66J3ht+07X905RVR2fr4jLVULXQddV8vkQ9fooY2OCw4cbDAxo9PUV5INciUQi6SI2Wgb/5K71QiJpI6bZ2U7Arrk5tGErl1MANbebfGKMSlUn9WaWxUUPU1MxstkwpqnidguCQYPBQQHI4LwX2czAa+X7ZsNaGNXoQtM4IaBUUpcCdDeNxnKAbt4UoDca2WtGcaXSu4yOfpzjx3+bvr771zWKMwwrD900VTwek4mJOgMDOoFA678zdst0beWsc34pd/zkhWc6cgZ/u6w7loU0l8dPXXvNbOhUcRMqXt7lHu4WJqFQFlUtU626WFiIAGOMj+uMjWkMDGiEw3lptNejdPq9j0TSTuyk/3WDdSHE1FqvK4pyGvgF4G+3q1MSSSvpZJMJIQTZ8XHyqouyM2Atv50zMX6cpV518/yVo/h8JoGAwciIAXTeMUh2n80MvFa+7wp4AFDmZrvCAE0IKJevB+j1uoKqgs9n4POt3tYwqszOfo1U6hyZzIsMDj7GoUN/l8HBD6Kq7jXbX2kU53QKEgmN4WGNUMhsa1CzW6ZruzmDv1esN5aF8Oiq110BD+56iVwX6L4ZnM4GodAcjYZgZiZGNNrPnXdWGRnR8ftze909SYfQyfc+Ekm7sZP+t1K6DUVRTgJ/BXgamAS+0M5OSSStpBMv1Hq9zvx8gUzGyWLpfia+8RUqIkDNEyJMgZixyIW7P8VoTM6cN0M3GHhthxuPK9M3zsTki8DaBl4rDb60shdPo7wtg6/+zCWOv/FFxpKvAnA1cTc/Ov4JgJaPc7msksk4mJ52U6tZhm4+n0HkBu83IQwWFr5NKnWOmZmvEI2eJJF4mhMnfheXK7xm20JAtaoylL/EfflvMe5KYgwPkrrtIXKDS6Zkr2zveLaquUzfOA+99HsopkE5EKMQGkWojpYb+d046xwozTOw8BMihTSALa6J9QzsXr3rk6uuC3Uxg7Oa59LB1i8U3P3vGoHfX8DjyVEsepicjHP77Trve1+Nvr58G/cr6VY68d5HItkt7KT/dQ3mFEW5FWsG/ReABeCzwD8UQmzNonoXkAZzkq3QKU/XhBAUiyUWFmokkyF++MMEQqhEIgbx8kUOXe4eg69OpJsMvJphIzOt2OLUupq57gZfohQcXNcNfqP9PvjS79G/cJGaLwoIfLUCRV+Mhj9Ctm98x+NcrSosLFgz6KWSujSDbuJyrf5dsozifkgy+TlSqWfxeuMkEmcYHX0Kr3dkzbaFsIzi6nVrCfwx9zt8Ivtp6AvT8K1vStbM8WxVc8vbKcIkXEgTKC8gVAcvvu9XmTz0SFNjthn3nv807qXZ5UBpnn3T5xGo1LxhZkaO2eKagPUN7Fa+Xk8cYGr8FEnPvpbve7e+a1RVJxyexzQbLCxEgQj33lvh4MGGrHsu2ZBOufeRSPaCbtP/tgzmgLeB7wBPCiHeA1AURZZsk3Qde33BGoZBNptnYcHk3XeHuXy5H48HBgd1VNXKqVn0TXB+oLtvnvcauy7/Xe+4YotTnL/3l9b93LLBVyxmfc1nM80V9ZiYfAF/eYGavw/dZdUeryoKg9mLLIr9pEePr+rPVse5XlfIZJxMT1sBOlgBejR68/VZLk8uGcWdQwiNePwMp059iWDw8Lrta5pCpaIihEI4rHPwYI1YTOehN/4CJRbe3JSsiePZquZWbrfYfwCw6rLHFqeY3HTEmmPlrPPAwk8QqCjCZGHwsG2uCVjfwG7l68vap0ntb8ZufNd4PBX8/gWqVQdTU0OMjys89liV4eFFmYMu2RJ7fe8jkewldtL/RsH6zwKfAr6lKMrXgGewnOAlkq5iry7Uer3O3FyBhQUXP/zhOPm8j3DYIB7vyEqIXc9uGXjtNjs9rmp1eyYr4eIMLr1B1Xd9Hbru9OJulHHqjab602goZLMOUikXuZz1s+P1mkQiN1+b9foC6fSzJJNnqVQuMzr6FCdO/A7R6L03Via5hmUUZzm5e72CW26pMTBg4PdfP/b1xjFygynZVo5nszZv/OxuajMbm+DCyU8xMfkCkUKafDjOwuBhyoGBtu63k7i+qqRIKTjU9KqSzWjf+bQM4xyOMouLATKZ/Zw8WeOxxyqrtCyRbAU7BCkSyXaxk/43Mpj7IvBFRVECwMeBvwcMKYryu8CzQojndqWHEskOWe8Gvx0sL3Wfn6+RSoX44Q+PAip9fQbxuMw/X6Yd+Z67ZeC12+z0uJxbciZZe78Dzndw6vVrM+tOvUbDHUB3rjZvW6s/ug6Li07SaRcLC1YnPB6TcNi4aWZQ18vMzn6VZPIsi4vfY2jocQ4f/kcc9+7n7sUXic09R6bwBq/FHiEdPMRo6SLvnz7H4ex5hFD4cfge3jzxFOKW/QSDaxvFrTeO+RtMydY7nrU0u9Vzs9vaXDm77G7DftfyUIgtTrU9f3sr3xsrl6iX43E8jXLL3fBbfT6dzjqh0PySYdwA0WiMU6cqJBKLN1U9kEi2ym7e+0gknYad9L9ptU0hRFkI8cdCiJ8BxoALwD9ue88kkhahKErbL1rDMJiby/L22xm+8Y0of/qnt/Pmm/sYHDQZHtZlbuEKlm+m3fUS+dAI7qXSUv2ZSztq99LB0/iqOTy1AggTT62wlJN8ukU93xt2elzb1f+lg6epBAbwVhZxNqo4GxV81Tzz/YeoBAbW7I9hQCbj4M03vXznOyHeeMNHPu8gHDaIRAy8XnEtkDZNnbm5P+fChV/lG984RjL5ORKJMzz22I84efL3OeGf4InUM/j0IvPeUXx6kQ9d/QxHp/+Sj/74/+L2+RcRXg/ePieP8m0+efU/Mt54b90lwuuN46t3fXLT8V1Ps5m+8S2dm73SZjv2e+NYRLNTfPBbv0V08UpLr+fN9rveflYuUVccDjRfmKovysTkCy3rS2vGVeD35+nrmwIWmZxMEI0O8/GPa3ziEzn272/IQF2yI3bj3kci6VTspP91Dea6AWkwJ9kK7cxbqdVqzM8XWVhw89prYxQK1lL3YFAuWVyPlQZYy3hqBRqe4IY52FthPdOpbmcnx+X3W89kK5XmNbnsBp9IXgAE0ze4wYeKsxQCw7w28AhvabcyM+PGMMDpFPh8JuoNj4OFEORyr5BMniWd/iJ+/37i8aeJx5/C4xlcte2Hp/4Qn16k7IpgGAqNhkJQz3N7/YeEPRXcbgXDszTjr1VBCC4demRDDW3FlGyt8d1Is5cOnt7SudkrbbZ6vzeOxfjUy3ireWq+CFNL6QStup432u96+/ngt37TWqKuqLjDVq2/Rr5MuDjLtz7wj1rWn+2O67JhnGE0WFjoQ1XD3HNPhYmJxk3GihLJTrBTzq5E0izdpv/tGsxJJLZAXYoYWnXBWs7URRYW6kxPh3njDWupe3+/XOq+FdqZv7ue6VS3s5Pj8nisJ8uVyvb2+/yj/+Cm14WASefhpVroLvTLCg6HwOcz1pwNLJXeI5U6SzJ5DkVxkEic4cEHv0ogsP4x9VXSpNQEpu7A5RQMDWqEgm4OvH2VhiNI1b06l95bzRPaRENbMSVbi400u9Vzs1fabPV+bxwLby1PzRvGWytce60defFb/d5YuUTd6bPSNZS52ZanHDQ7rl5vEb8/S7ns4vLlISYm4Kd+ShrGSdpHq+99JJJuwk76l8G6xPa0avWIrutkMnmyWcGPfzzC1at9eDyCwUHjmqu7ZHPsmlveqWhaa/QvBJRKKgsLTpJJN42GgqoK/H5zzQC9VptdMoo7R602TTz+s5w8+QdEInetuzRtuR56o6Eyo8YZ9edwDQbxeE0UwFMrUgiP4tDrN+XS60532zQkNXudG8ei5o1cm1lfph1js9VzsNIN36j7cNfLuKu5ltez3wqKYhAOzyNEncXFMNnsOPfcU+WnfqqE3y9n0SXtpZtXzkokO8VO+pfBusT27OSCFUJQqVSYn68wP+/htdcmqFQ8Vm106eq+LVbeTK+sUdyum+l2mNl1Uz/MHTxHEgKKRZVMxqqFXq8rKAr4fAYTxkXuyjxPLJUm4x3ltdgjXPUOMTPzZySTZ8nlXmV4+MMcOfJPiMXej6qu/3NTqykMLE5yb+5b7HcmMUeGqNy7j31XLlJFpy6u6+TVuz7JsR9/5ab67wt9B9fMGW7FuO+2Zjdir/V841gUgsP0ZaeYGzpi5W+3aWy2eg5WuuH352cpBQd5e5fryns8Zfz+DNWqgytXBhkbc/Dww1VGRxdvSg2RSNqFnYIViaRZ7KR/mbMusT1ut7UUstFobLLldZZro2ezJpcuxXj33WGcTkF/v75td23JdXYrf3elM/TKG/xWOkN3ej+Wa01ntlhrejlAn593kk4vz6CD12vgclnbjJYu8vj0Zyi6ohQcfibzr3E+9wo/qCbpiz1MInGG4eEncDj86+5H161ya0LAYX7C04X/jugPo/sD18bn0sGHiC1OrZljvlYu/UbO4Dsd907wQ+gkPa8ci2U3+N24nps5B81qfycoikkolEFRKuRyAcrlAe66q8bhw3XpYSLZE7Zz7yOR2IVu07/MWZf0NM3kq1SrVebnS2Qybn74w/3k836CQYPRUU3mFbaQ3crfXekMDVz7OzH5wq4GN3vZj63UWRcCCgUHCwtWqbXlAN3nM/D5bt7+xMJf8qpW4IXFH3Ah/0OGPUM8GLqNj439Vb5z6NfW3Y9pQqWiYhgKbrfgwIE6w8M673/rOVRPiLo3BFwfn9ji1JomZevl0t9IK8e9E/wQOkXPa43F5B7tdyO2ov2d4nJVCYUWqNchlRpkYCDGqVNVWXZNsufYIVdXItkudtK/DNYltmez0g2maZLL5clkdKamovz4x7ehKCp9fbo0jOty2mlm1y39WC9gME0oFh1LM+guNM3KQff5zDUDdIBi8R2SybN8f+oPUB1e7oveyz+85e8Rc8dAmAzUZm76jBBQryvUaiqqCiMjGiMjGpGIcW1JcLvGp1POf6uw2/G0m/YFy4JgMIvTWaJQ8DE5OcaJEw0eeqhGJFJt104lkqawS9kqiWQ72En/MliX2J71Lth6vc78fIFMxsmPfpRgYSGI328yPGygKPZ5ItfLdIox2F72w+G4rn/TtGbQlwN0Xb8eoPvXWbFeq6VIpb5AMnmOen2eePxn+eXxv8FhZ4iKO3ptu4BeJOu9HkguL3M3TYhEDA4dqhKL6deW0q+kXePTKee/VdjteNrNSu23AqezTig0T6MhmJ2NEQ73cfJklf37czI9StJx2ClYkUiaxU76lz8vEttjrnDYEkKQzxdYWGiQSoV4/fWjmKaD/v7enkXfa9Oqzdhu/zrFGGwv+1GrCYpFlclJDzMz1wP0ZRf30dJF7ko+T6x23SjuimeQmZkvkUyeo1B4neHhj3Lbbf+CWOwhFMVBpnSRe6Y/g6IolJ0hAnqRkJbjxcEnKZWuL3M/eLDO0JCO329dg+udx3aNz07a7cRrolP03KnceM5SdzxKrv9AS9oOBBYRosTk5Bi3365x6lSN/v58S9qWSNqBuRN3UYmky7GT/qXBnMT2uFwuGo0G6XSGbFbhrbdGSaejeL0m0ajR8+68nWJa1a7+dYIx2G73YzkHfW7OiWm6MQyFuTnzpjJrK43icqqPS/lXOZ97lVdrafoHPkAicYahocdxOLw37WO0ZLnB91dnmHOO8F3/B0kHDzE8rDE6unqZ+/Lxb3Qe2zU+22m3k6+JTtFzp7HWOYtGVN489jNMKYkdtR2JzJLPO/B4+nn88QJeb/feN0l6B9fSMiZN692JCEnv0m36lwZzkp7BMAzq9TrVaoNSSadeVzAMB8Wil1deOYymuYhGe3sW/UY6xbRqPXbav04wBtuNfqx0cU+l3Ndy0MfGTNxuCIVuDjDuXPgW57UcL2S/x2uF14l7R3kwdBs/t/+XeH7i72y4v6veQ7zTdytmxFrmPjbW4FCsuOYyd9j8PLZrfLbTbidfE52i505jrXNWdQrGJr/H1MTPbrNVQX//NMlkH+PjHk6fzkvTOEnX0M2TcRLJTrGT/tsWrCuK8ofAk8CcEOKOpdf+OfD/AOaXNvsnQoivLL33vwN/AzCAvyuE+Hq7+ibpboQQ6LpOvV6nXG5QqZg0GgrVqkqh4CaTCbCwMEy16gUUgkEFj8ekr0/H4ZBB+o10umlVp/dvLxECSiWVhQUnyaSbRkNdykE3ruWgC6Gg31C5qlB4k2TyLC9f+a94nEHujd7DP77l1+lz961rFAfru7kvL3PfiG46j93UV4nFWuespnoJ5dbW8mYoikEsdoX33ktw330mJ06UZEUQSVdhp2BFImkWO+m/nTPr/w34HeDTN7z+20KI31r5gqIotwOfAo4BceAvFEW5VQghXb56GCEEjUaDWq1BqdSgVoNGQ6FcVsnnvczPR8nlgmiaCyGsWUSvV+D1mkQigmjUilCu19rdy6PpXDrdtKrT+7cXlMvXA/RqdWWZtZuD5mDQijBmZ6+STJ4jlTqLrheJx8/wqwd+hUPOIGVX5Nr2NxrFCQG1mkKjoaIorLvMfTO66Tx2U18lFmuds4DbpD6yv+m2nM4Gkcg0P/nJAT70oSoHD3ZHnV6JZCWOpWUgdiphJZFsFTvpv23BuhDi24qiHNji5h8HnhFC1IFJRVHeA+4HXmpX/ySdiRCCSqXC7GyZhQUPmYyfublBymU/huHANK0ZPa/XxOs1icUA9A3b3I1au91Mp5tWdXL/1jMh28ycrD9ziTve+CL7kq8CMJ24mzeOf2LD5c2Vikom42B62k2loi4F6CbR6Pr6bjQWee21L3H58llyubcZHf0Zjh37d/T3n0JRVOZKF7lr+jMAq4ziXhp+kkbDKrcmBNzmfJdH+AajRopyZYRL5mmyanNLsZs5j3tt7tbJmpOszVrnzDGv8dbxp5pqx+Mp4/XOMzk5wSc+UWRoaOPfl93CPTVF4OWXcc3NoQ0NUT51isb4eNs+J+l+7BCkSCTbxU76b6vB3FKw/qc3LIP/X4ACcB74dSHEoqIovwO8LIT4zNJ2/wX4qhDi3Ebt33HHHeLs2bMoioKiKJimiaqqCCEQQuBwODAMY9P3gWv/ry5NFZmmueb7K9tyOByYptnUvtrVl+3sS1EUVFW9tq+97Ivl0l5kbq5KMjnI5OQQIBgYACEMFAV8PpVq1cTptEoyaJrA47H+mub19x0Oq2RPoyFwuxU8HgXTFJimQrVqoqrgcinU6wKXS1laVn/984oCHo9CrSZwOhUUBTRN4PVanxFi7X2t1ZeV+3K7FQxDYBhr78vqC+j66n15vct9ae64b9zXRsftTU0yfuV7REWRHEGmD72PXN/4TX3Z7jnYal+Wj/XGc9CXu0Live8SpURODXF57H7qiYldOwdrHfdwdZojr3yBqiuIiA2gZBbwG2WmJx4g/s6L6P1DVBUPrnKBkFvn1fHHKQwcYLA8zZ3P/wEDjXmqTj+iruH3CjKOGD+4769THT1w7bjrdYXZWZVCwcPCgtW3wUFBvW7iclnHXasJfD7r+A0DvN4a7777NaamzjI7+wL79n2Q22//eSKRD2KaHoJBhVJJLAX7CsG5Se6qfJ9obY45s58fDz/CT7T9eDwmt9yiE6/9hPsvf5m6P0JVuPE7DVy5BV6//WNrnoONzrcvPcmh2VcJFOcouPuYue00M57EqnMwULzCHW9+ibLiR/THUHNZvNU87z7wNDOexK5pz5uaZGLmFYLlBQquKOkjDzHnH9v167/d15ydvveGKldJXPoegdwM9ZH9TO+/h1JsH42G2NJxBwKL6HqZUmmMj3ykhM+nd8RvrndmhtCXv4weCKAMDCAWFnBVq+Q/8hHqo6Pr7suTShH60pcwYzEMrxelUMBtmmQfeQRt375dve/plHuNXrrfczgcqKpKo9Ho6XPQq8fd67GG2+1GCIGmaV2hvaNHj3aMwdzvAv8SEEt//z/ALzfTgKIovwL8CkA8Hm91/yS7jGEYzM0tkMkIpqbiTE1FiUatWueGsXzzZi3F3S4ul4JhQEOuZFyXxb5xcv3jq27WO4lc337m79q3OnDY4z7tu3qemjdMwxXApSg0vCFUw8Gxt/6UdOAApicImkHDG6Lm0jlw5Xu8PnCAfVfP468uUguEMFQ3pnBQ97nx5bKMX/keP+w/yMyMg2zWRankoF6HWEwQiRiY5nIQtLovpmmQTn+bS5fOkkz+GX19dzEx8fM8+uh/JhaL4PHAzIzJWpVM0r4DpLwT6LqCrgsOHdC5K1AhEDDx+RSOvPwyNW8YzROEuk7D48PwNjhw5Xu8k2hutjvXf4DXhw+uCpi4YeXL/qs/oOaN0FC8uBSFuieEEIJ9V19h5paduXo33dehg6uCVur2yYGzI7nofjIn9l17MOB2g1O1AvnNCARmKJcdBAIJnnwyj9+v0ikTM77XXsMIBhGBAIqiIIJBdKcT/4UL1EdHN/ycHgpBMAiGYX3ONAm88gq5fft28Qgke8FysCCR9CLLwbQd2NWZ9fXeWzKXQwjxfy6993XgnwshNlwGL0u3dS+6rjM/n2NhwcGFC2MsLgaIRAwCgdYvWff7rR+rSkUuh5e0jg9+6zctQytlxc2QMLnzjWd5/fhTN70eLs7yrQ/8Iz74rd9kJPU6NV+UZccqwwBnPs9bvrv5neF/tjTbZ+LxiHVNrYQQFAqvk0yeJZV6Fo9niETiDPH4z+L1Xr+BD4etBgoFseKzUK8r1OtWH4eGdEZHG/T13ZyHvt5xLh9Pq9nt/Unsy9a++wWx2FWmp/uXHN9LHef4PvSf/hPa8DCrvgyEwDU7y9yv/VrLPyexB3bK2ZVImqXb9N8xpdsURRkVQqSX/vkU8KOl//8S8MeKovx7LIO5w8D3d7Nvkt2hXq8zN1dgdtbDq6/eQq3mpr+/vaXUXC57PFnrNfY6b3kz1jMhK4RH6Vu8Qrg4g69WoOoNUwiNkOvbf+1zA853UBt1KsJPpaKi1Goopo/Z4AiRiLGh63Slcplk8hzJ5FlMs0EicYYHHvgCodCRNbf3eK7/v6ZBterANOGo410+IL7BqEhTrg1ziZvz0Pszl+jLXiZx9RXKwUEWYocoBwfbYra2fL5HU68z4HyHmZE7KAcHrWPYBXO3lXozFCcCcAp9x9rrdB3bmc2++zvN8X29/HJtaAi1VMIMha5tq5ZKaENDG7a33c9J7MHyrHq3BCsSSSuxk/7btj5GUZT/iWUQd0RRlGlFUf4G8JuKoryhKMrrwAeAvw8ghHgT+BzwFvA14G9LJ3j7IISgXC4zOTnH+fMmf/InR3n55VsIhRRGRzU8nvYuLV3OE5F0D/2ZS5y88Azueol8aAR3vcTJC8/Qn7m01127xqWDp/FVc3hqBRAmnloBXzXHTybez/jU9/BW81Q9IbzVPONT3yPTN46uw/nIo1ytDtOYKVLN1HHUK/SZWSrBAX408siawUKjkeHy5f/Cd7/7BC+++CHq9VnuvPM/8oEPvMqRI/903UAdQNet+uu5nAPDUJmYqPPkkTf4Jf2/MuAtUIoOrzm+y+cgH45jKg681Tz7rv6AvswkvmqOSwdPt2wsV57vq2P34K3mOXj5uwSKc9fGtZX722j/uupi/PJ3OTj1Erri3JH2ukHHdmaj736ns0F//xQ/+ck4P/VTGnfdVd3zQL3v2WdRy2W04WHUcpm+Z5/FPTVF+dQpnIUCarEIQqAWizgLBcqnTm3Y5nY/J7EH8t5H0svYSf9tXQbfbuQy+M7GWqZbZG6uxtRUjDffHMHlglhMb6rk006Ry+C7j3vPfxr3jbPWtQINT5Dz9/7SHvZsNcuzpqHiLMXQMJcOnmZi8gWi2SnCpVm8tTxVd4R59yiTHOQzoV9FCBhvvMdPZz7H0fwroMA7kXt4PnGGdPDQtbYNo8LMzFdJpc6Szb7M0NCHiMefZnDwA6iqa8N+LZdbq9dV+vsVhocbBAIa4bA1a7+V8V25TaC8wMDCewRK81QCMb716D9s6ezwjf0JlBcYSb+BU6/z7pHH2z4bvXL/41Mv49TrgEB3epkaP7Vt7XWLju3Ket/9y47vV68e4Gd+pjMc3/s++1nUcnn1LHixiBkIsPjJT0o3eEnTdNsyYImklXSb/jtmGbykNzBNk2w2x8KCyY9/PMLUVD+BgMnoqL4nMxder7XTSmX39y3ZHuHijJW3vIK6J0i4OLtHPVqbbGzipiDyrtfPke0bJ+k7RL7goFhwYNYEI3qS4KiVE57jIJ8d/Mc3tWeaOpnM8yST55id/Sp9ffcSj/88J0/+AU5ncNP+6DpUKlaJw74+ncOHq9x6q8DhgGz2+g/WVsZ35TblwADlwMC13PFWB8439qccGODioUcIF2d3Jahduf/l1AUAby0PbF973aJju7LWd38gsIhhVFhYOMDTT+cJhzvjIa5rbs7KL1+BGQzimrW00hgf31aQvd3PSbqfbgtWJJJWYif9y2Bd0jJ0XWdhIcfCgsprr42RyQQJhw0Sifblo2+FWq17V4/0Kuvlg7c7b3knmCYUCg7eq4zRmK5SdPhRFXC7TYJGnqJ/ZM0VJVbZwldJJs+STn8Rn2+MePxpbrvt/8Dj2Ty3VAirBruuK7hcggMH6gwP6/j9VhCiaSraDZfgVsZ3N8/BXp/vlfuvesPXZtZr3siO+rLXx9Xr3PjdH4nMkss58PlG+bmfy7U9BasZZH65pNXYIUiRSLaLnfQvg3XJjtF1nbm5RebmXJw/f4hy2dN207hmsEnlhp7i0sHTnLzwDABOrcbI7JsESwtcPPQI/ZlLu2rQtZFBWHT+Eokfv4hzbo4pLcFPQh/kG+pjfJxP43GalJ0hAnqRkJbjpeEnV7VbLl9acnI/hxCCROJp3ve+PyMQOLRWN64xWrrIXZnnGVt8C389R8HZx8LIUWaOPYh+cPymBwJr6X/l+NY9QTz1Er5qjrePPnHtmAOlBQ5dfJ5ScICZ4WPoLu+qbVrJev1Jjxzj3vOfbrs5W6ZvnIde+j1U06Dh9BKsZNBcPibHb7+WM7+d495snCXt5br2Bf390ySTfUuO7/mOc3wvnzpF37PPomPNqKulEs5CgcXHHtvrrkkkEolkD5E565Jto2ka8/N5ZmddfP/7B2g0XMRiOi5XZ2mqv9+6K1u5DFjS+fRnLnHHG1/klkvfphSIMTNyB7rTg6+a48LJT+1KwL5sEFb1Ra8HW5Ucz9/yV8lmHdz3+jPkHH1UnCH61DxhI8dzY78IwF2Z5+mvzZD1jvBa7BHSwUPU63OkUs+SSp2lWp1mdPQTJBJPE4ncvaV6oEP5i3zw8h+BaXCk9iPcPgWvy2Bu9DaEoq45Luvpf618+2xsYtUxO/U6IzM/IljO8N7E+/nR8U+0bdxv7E+mb5yJyRdXj30bzv3y8SqmQbiYJlDO4NDrzIwcp+4LrxqbVhyXdIPfGFXV8fkKCKEghAqomKaKEDf/hY2vmf5+B4pioCiTvPdegvvvN7jzzlrHPsCV+eWSVuJ2uwFoNBp73BOJZPfpNv1vlLMug3VJ02iaxtxcjrk5D9///jj1uouBAQ3Xxp5Xe4Y0mOte9tqga3n/NU+YWk2lWHSgZ0qUCKKogqhapOKJXNs+oOWpOkN8dfyXr72m6yVqU/+Vuek/ZqpymTvCd9C/76+jjH0KVd18cdOyWVyjofLUzB8w7M9ztP46HqWG4fLh1GroTg8zw7evOS7N6n+vx3y3+9Epx9vrOBwa4fAstRpkMv04HJaTr6qaOBwGDoeJql7/z+EwgfXvX4QAj0dBVQ0uXRrjQx+qcvBgd9y0SSStwE45uxJJs3Sb/qXBnKQlLAfpMzMevv/9I+i6g4EBHaezM5a7r4fT2aHTKJJN2UuDLtME9/wsV8UY+aILw8DKQfcGSDTSKAjm3aOrPlN2hhiozWCaGvPz3yKVOsvC7Ne5wzPAw9G7+eX9v0S/2SBUuchzlalV7u83slwTXQiIRg2OHKlyUkxRjIwQfDd/LZ9ad3rw1grrjkuz+u8UU7Td6kenHG+v4nTWCYfnKJcdTE7GufNOnQ98oEogYD1cMgwwTQVdd2CaTgwDDEO59td6z9rm+nvW/7tcTnRd4a67ygwM7L3ju0Sym9ipzrRE0ix20r8M1iWb0mg0mJvLMzPj5fvfP4JpOojFdJzO7rj56dQlj5LN2W2DLtOEYtHB3JyTmRkXkcx+AqKEyx9iaUUVAa1I1msFdwG9SNllBc1CCGYKb3G29Dbf+8Yx/P6DJBI/z6+FjzOEuLZd2eEDrGXyNwbrpgnVqoqmKXg8gomJOoOD183iShFrPGreCE69hu7y4dTr1LzhdcelWf13iinabvWjU46313C5aoRCc5RKLiYnxzh5ssGHPlTA51s9W+5wgMMhllZuNbcS0LW03EvTuuO3SiKRSCSSG5HBumRdGo0Gs7M5ZmZ8nD9/K6bppL+/e4L0ZTSte1M9ep1mDbo2MoNbjxsDdE1TUFWBz2fyzr738/j0ZygaJmXlZrO4x6c/Q7q+wHdK7/Bq7hXcwEjikzx04nfw+w8AcOCdf828d+0Z+GUaDYVq1XoKPDSkk0g0iESMm8zilo3Q3LUi3kaJsr8f3eEh2ze+7rgEZic5cOV7eJOTWxqTrYz5dsa5WdbqR//iFIXgMB/81m+2bL/SBO5m2nl+3e4KweA8+byXycn93HdflSeeyLfFmd00ZeqTpHeR+pf0MnbSv8xZl9zEcpCeTvv5wQ/GEcLBwIDWce65W0UazHU3WzXoWtMMbh1DMiGsMmvz807S6dUBuvOGR5jL7usrzeImnX5SqS8wd/WP0GopTgcPczz2MAuJv8JM6JZVn//w1B/iWzEDD1Zue1kNcW7gb2IYCn6/yf79DQYHddzutb+TbzRCiy5exdsokh65g6v7719zXPozl3jf3Deoe0MsZhpbNmnbaMybGeedsrIfpuIgWJhhMXag5fuVJnDXadf59XpL+P0ZFhf9FAqDnDpV5fDhelsNSbvNYEgiaSVS/5Jeptv0L3PWJVuiXq8zO5snnQ7wgx/cBiwH6d39dKpe794HUhLIxia2FCRMTL5gBRhLy5mX/05MvkA2NoEQUCqpzM87SaXc1OsKDocVoPv967ebDh4iHTyEphWYmfkyyR/9Q/L51xgZ+Qi3HPs3xGIPoygOfrTO51+LPcLj058BoOwI4amVcNXyvDT6ceJxjZERjVDI3HS5+srjW4wdZOrA5kZoE5MvUPa5aZhuUPSbxmQ9Nhrzzca5lazsx73nP43m8rZlv1vVWC/Q6vPr8xXwerNksyFyuXEeeKDCxMTiTQ/F2oEdchUlku0i9S/pZeykfxmsS64F6alUkPPnb0NRVAYG9K4P0pfp4sUjkiZYyyis5gniz8wyOekmlXJTqyk4HODzGfh8m7dpmg3m5v6CVOos8/PfJBZ7mPHxv87Q0B/jcGyhAaxg/yujv8gd6W/TX5qhEh3m6r2Pc/DQEE5nfUfHt5kRWrg4QzV8EEyx5c+0ox+tQBrB7Q6tGWdBIJDH7c4xPx8hnz/Agw+WGR9fvCm1QyKRSCQSyfrIYL1H0XWdQqFELqcxOxvglVesIH1wUEdV7RGkL+PzydJtvcBKo7B6Q6VcUmjM1SiI/Vx2e/D5DKLRzdsRwiSbfZlU6izp9JcJhY6QSDzNHXf8e9zuvi33RwjLLK7RUKi4D2M8OM7wsGUWZ1WP3v7xLbOZEVohNELUbdLw+GkUqlv6TDv60QqkEdzusLNxFgSDWZzOIrOz/bjd45w+XWFsbHFPjD67rXSPRNJKpP4lvYyd9C+D9R5BCEGj0SCXK5HPC7JZL++8EyefD+B0YssgfZlq1Z7H1S1sxaxqs2220sabI+/n+A8+y2zNzaIRJmgW6SfHD8Y/Sji4+st6OQ89VkuT8Y7yWuwR3jHrpFJnSaU+j9MZIh5/mtOnv4Xfv6+p411pFjcwoDM21iAavdksbjNuPOZM3zgTky8CWzdCu3TwNPdd+jKKNwJCbdo8ba1x3ytDNmkEtztsZ5wVxSAUygIVZmcHCIejfPCDVUZHc3tajaOdN2nuqSkCL7+Ma24ObWiI8qlTNMbH27Y/iaRZ7BCkSCTbxU76lwZzNkYIQblcZnGxRrGokE6H+MlPhmg03LjdgkhE35W8wb0mFLKipGJRBu27zVbMqjbbZqP3U4FDZDJOkkk3xaKDsep7vK/yTYb062ZwN5ZHGy1dtBzeXVGmTYM3Fl/m+/kLZBQHw4lPkUg8TTh8rKnjNE0ol1UMQ8XnM66ZxW3X4Xq9Y7508CFii1NNGaHt06cZv/p9XJcvNmWettG4A3tiyCaN4HaHtcZ5ceAALlcNt7uGw1EFDDRNRQgwTZVsto/BQQ/33ltmeLgzKoY4l37gdL21/XFPTdH37LPo4TBmMIhaKuEsFFh86ikZsEs6hnbpXyLpBrpN/9JgrodYuby9UHAyORljevoAQqgEAgZ9fSaqqu11N3cVh0MWWt8rtmJWtdk2N75fdkYoaCrOv/w+L0ZPoCjg9ZpEozql6AH+nF/esE+3zn2VPy1f5LvFH5OqpTgRvpNPDj/JvvAxvn7gb2752ISAWk2h0VBRVRgdbTAyohMOGzueTVxvTGKLU+uaya1HcWCcHw2MkzvY3FPmjc7L+Xt/aU+CZGkE124ELled+v5+fjLxIUBD11VMEzwiTaXiI5v14XRGiUatMoN9fTqhkEko1CAYrO31AaxCadO0fuDll61APRQCwAyF0Jdel8G6pFNol/4lkm7ATvqXwXqXs9by9nffHSWXC6KqCuGwzsiIAdhnOUizNBrdu3qk29mKWdVm24SLM8x74pQXHRQKDqo1FYSLuJEiMr61wNgwaszNfZ1k8hzfnP9zbg0e4ZHYw9weuh2X6gRhrqp7vhGaBtWqAyEgGjU4fLhKLNbaVSqtNFPbrv6loZu9cbureL0FVLWBroNhWBdSreYln/cBIcJhhcFBg4EBnWDQIBQyCQRqOJ2dFZSvR7vq7Lrm5tCGV+fwm8Egrll5bUg6BzvVmZZImsVO+pfBehcihKBSqZDNVigW1aXl7YeuLW8Ph3VGR7tj2cdu4PFYN6GVyh53pAfZilnVetvMu4aZmnLz2vx+XLUyJWcEl1MwosxyqPg6bqPGR6784ZpL3QGEMMhkXiSZPMvs7J8RDh8nHj/Dr/efIib01XXP9SJZ78hNbSxjmlCpqBiGgtstmJioMzhomcUts5W8+laO21bZrv6loVt3srEOTUKhLA5HmVzOTyYTIxRyMDCgMzioEw6bS0G5hsvVHbVpN0JdMopode6iNjSEWipdm1kHUEsltKGhlu5HItkJ7dK/RNIN2En/MljvYJZnzev1BqVSg2rVMq8ql1Wmp/u5enW8p5e3bxVNkzPre8VWzKqubSNgUYQxsxVK2Qp/MnCGtOZBiT3KR2b+B16niVOvcyL7HQB+2H8an17k8enP8NzYL5IOHkIIQaHwBsnkWVKpL+DxDBCPn+HWW/9f+HwJAN5dylkHKDtDBPQiIS3HS8NP3tT/Wk2hVrOWuY+MaIyOakQiN8/mr8zvzi8FuScvPLMqN7/V47ZVtqt/aejWfaynwx8+8DTGfh+NhmBmJkYk0s9991UZGyva2rekXZ485VOnrJx1WJ2z/thjbdmfRLIdutmTSiLZKXbSvzSY6wBM06TRaFCt1imVNOp1hXpdoVRysLjoZ24uRKnkxzAcmKaCyyUIBg18vu49d7uJ3y9Lt+0lG5mC6Trk806U96Y4cPEFYvUZMp5hfjTyCPOR67Ply+7t989+jYbq5mL4BHnvIAABLc+0qfHHikoyeRbDqBKPnyGROEModHTNPi2311+72YhO16FScWCaEIkYjI01iMUMXK71r7d7z38a942z0LUCDU+w6RzzrYxbM+xE/9LQrbtYqUMBmCNeRMxBreTge86f4dgxjdtuq9HX1/0zDVuhnaV7pBu8pNOxU+kqiaRZuk3/0mCuQzAMg3q9TqXSoFzWqdetWbtSyUkmE2R+vp9KxY8QlsOux2Pi9Qo8HpPBQQHIpe3bQdZZ31tuNAWr1xXycw5mZlxkMk7i5Ys8UPwOw2aaxcgob8ceYf6GZe3p4CHSwUPEamnmvaOgqJT1Mq/mX+OV3CvM1WbpH/sUx4//Nn19D2xqLLLc3jKmCdWyiq5bD8MOHKgzNKQTCGxNM+3I726VmdpO9C8N3bqLcHGGXCyOfjCM5nGhX6kReL3EyeBVbvsn79/wgZMdaefNWmN8XAbnko6m24IViaSV2En/MljfJd59d5GZGTfz80EymRFqNQ+KoiAE+HwmXq9JMCgIhXrbDK4dyDrre0+1qrC46CSVclEoWF+gLpfgMO/yRN4qo5bxjBK4YVn7jaTdMd7JvsSLxbd5r3yR20NH+WjfKQ5F7uLPD/5K0/1afmAGlrN1PL69muidnN8t9d8beL1F5h66HUp16m/XGA3nSMQ1IsM5zEA/Ro8F6mCPmzSJZLtI/Ut6GTvpXwbru8Tly+O8/baXWEwnGhUoipwl3y2aDbzaSStNyDoZIay649msg1TKTbmsoijWapGVpc3unnqeoit6zext+e9dmeevBeumqZPJfJtk8hx/Pvtn3Obq44Ho3fzS2C8QExohLcdzg1vPFTUMyyzONBUCAZOjR2sMDOi43TcHM1s9X1vJ727Fud9OG52kf0lrURSDUGgBqLG4GOa9uWN8fOF/EDoURO0L9HwutZ1K90gkzSL1L+ll7KR/GazvIj6fuWZAIGkvLldnXLCtNiHrNISAQsFBJuMgnXZTrysraqCv/YTz2rL2FZSdIWLVNLncBVKps6RSz+L1xkkknubo0d/goF5alW/+0vCTa87C39i35ZroDgckEg1GRjSCQXPd0m/NnK9sbIILJz+1FEhb+d1vH33i2natOPfbbaNT9C9pHW53lWBwnlpNYXp6mHjcwcMPVxkdjeK8+jHUl1/GNTuLNjTE4mOP9exybTvdrEkkzSL1L+ll7KR/GaxLbE+93hkPSCYmX6Dqi15bKr38d2Lyha4N1g3DCtDn553MzrrQNAVVBa/XIBLZ/PMZr7X0fXlGfb6+wOvZ7/JS4U1K6S+QSJzh1KkvEwzecu0zaYY3Dc6XuW4Wp9DXp3PkSJX+fp2lVKYNafZ8bZTf3Ypzv902OkX/kp2hKCbBoFV2LZ/3c/nyfk6cqPP+91cJha6nOshc6uvYqc6uRNIsUv+SXsZO+pfBusT2uN2dUWe9HSZke8Gyg/vsrJP5eReGAaoq8PtN/P7m2not9ggPXP59Xl78Pi8W3mSxkeHB4C2cOvab6KMf29aTUSGgWlVpNKya6AcO1BkeXl0TfSu08ny1oq3tttEp+pdsB4HXW8bny1KvK8zMDBAO93PPPVX27Vu0ddm1VmCnOrsSSbNI/Ut6GTvpX/7US2yPYXTGzGInm5BtRqOhkMtdd3AXApxOgc9nbGmW+kZ0vczs7Ff4fvIsn86+zIngrXwyei+J/gd4Y+CDpIOHaDZM1zSFSsX6ch4Y0Bkb255Z3DKtPF+taGu7bXSK/iVbx+FoEAotYBg6uVyIhYX93HlnjdOnG0Qitb3uXtfQzaVpJZKdIvUv6WXspH8ZrEtsT6c8VNuKCVknUatZDu7ptJNczvqqcLkEweD2AmDT1FhY+EuSybPMzT1HX9/9JBI/z913/1eczgBvAm823aZlFqfrCj6f4PDhGkNDOh7Pzr+kW2ka14pzf+ngaR586ffwlxdw6Q00p5tKYIDvvu9XN/xcO/XfLsPE5XaHZn+Mr5an6o0wN3xbVxkyNjs2imISCCzidJYolz1cvjzMoUOCRx6pMTy8KI0Ct4GdbtYkkmaR+pf0MnbSvwzWJbanU+qsb2ZC1gnUagrZ7OoSazc6uDeDEIJc7jzJ5DnS6S/i94+TSDzN7bf/azyewW33c7nkmqLAyIjG6KhGJLK9Pq5HK03jWnXuhWn9+Igb/r0R7dJ/uwwTl9tVTIO+xSmE4sBbydFwBziZ6w5DxmbGxuMp4/dnaDQUZmdjBIN9nDhRY//+YkseOvUydqqzK5E0i9S/pJexk/5lsC6xPZ1UZ3ojE7K9otUBOkCp9BOSybOkUp9HURwkEmd48MGvEQgc3HY/r5vFQShkctttVsk1VxvrR7fSNG6n535i8gUWYweY8d557TVPrbCpwVy79N8uw8Tldkdm30Jz+9FdPpxajXBxhpnh27vCkHGzsXE4NEKheQxDJ58Pksns4847Gzz0UJ1IJL+XXbcVdrhJk0i2i9S/pJexk/5lsC6xPTaq3tAybgzQFQXc7p0F6LXaLOn0F0gmz1GrpYjHn+LkyT8gErlr2yU0DMMyizMMBZdLMD5eZ2hIJxjc+wcwu20YuN39tUv/7Tr+5Xa9tTw1r1UlQHd68NYKXWPIuNbY1LxBPP0NotEpymU3U1PDHDggePjhGiMjObnMXSKRSCQSyU3IYF1iezweK1opl/e4I3tMvW4F6Mlk62bQdb3IzMyfkkyeJZe7wMjIRzhy5P/NwMD7UZRtOM+x2s3d4bCWuY+MaITD2zeLawe7bRi43f21S//tOv7ldmveCE69Zs2s63Vq3nDXGDKuHBsz6kIfCyAaGuWrOrncfk6cqDI+Lpe5txs7LYOUSJpF6l/Sy9hJ/zJYl9ieWq13b4iXA3R+coVbr3yb27Q0Of8Ibww/wkxoa7XKb8Q0G8zPf5Nk8izz89+gv/9B9u37a9x77x/hcPi21aYQVl/r9etu7vG4Rl/f6pro7TI02w67bRi43f21S/+ZvnEeeun3UEyDciBGITSKUB3bPv6VpnL9i1PkQqP4KlmcWh3FNMj2jbfdkLFV+ro08RBHy9+iMRCgllUIvjzNRGCexi9+nDuP51rfccma2OEmTSLZLlL/kl7GTvpXutkt79ixY+Kzn/3sXndjSzz3XJipKTfRqH3E0y1EIla0l8/3xthbAbqDdNpNLucgUbnIxzOfpuqNUHaFCOhFQlqO58Z+kXRwawG7ECaLi98nmTzLzMyXCAQOk0g8zejox3G7+7fdV01TqFZVTBMiEYNEQiMW03G7b/5eWmnatTJY3UvDseXgLrRkGtfuhwfb2V879H/NBE6YhAtpAuUFhOrgxff9KpOHHtl2e8vntm/xCiOzb1H29qEqgqo3ytzw0baObyv05XJVCQYXqNeh8V6D++a+wy3+JN6JGJUHT9EYH29L3yVr43K5ANA0bY97IpHsPlL/kl6m2/R//PjxV4QQ9671npxZl9ieLn4etWUajeUA3cXionVZLy9xfzj3Taq+CGWXlf+7/PeuzPObBuvF4tskk+dIpc7icPhJJH6ehx76Bn7//m331TCscmumqeD1Cg4dqjEwYOD3b5yH3i5Ds52w24aB29lfO/S/8lws9h8ALLO72OIUkztsD2Cx/wAVfz8NT5Dz9/5S6zreRB+2ri9BMJjF6SxRKPiYmhrjxIkGtz5cIxz+ODVAVkaXSCQSiUSyHWSwLrE9um7PaF3TFBYXHaRSLmupO2vnoMdqaea9o6s+W3aGGKjNrNlurZYimfw8qdQ5Go0F4vGf4557PkM4fMe2jeJM08pD1zQFp1OQSGgMD2uEQuaW8+V329DNLrRD/60+F51wbpvtg9NZJxSap9EQzM31Ewz2cfJklf37czjlL2tHYJp7b0QpkewVUv+SXsZO+pe3FBLb4/Va0WClsscdaQG6DouLTtJpFwsL1uW7mYt7xjtKQC9em1EHCOhFst7rgYmmFZiZ+RLJ5FkKhTcYHv4ot932r4jFHtyRUdxyHrqiwPCwZRQXjW7PKG63Dd3sQjv03+pz0Qnndmt9EAQCedzuPMWih8uX49x2m86pUzX6+2XJtU7DTgZDEkmzSP1Lehk76V8G6xLbU69398y6YUAuZwXo8/NOhACXS2zZxf212CM8Pv0ZwJpRX85Zf2Hw8WtO7gsLf0kieg+f8B/k/ZG7Kfr38Zo3TnopUB8tXeSuzPPEamky3lFeiz2y7hJ6TVOoVFSEgL4+g1tuqdLfr7OUPrRtdtvQbbfZqrlZsyZo7dB/q89FJ5zbjfpwvS66xsJCHw7HOHffXeHgwcKa/gqSzsAON2kSyXaR+pf0MnbSvzSY2yWkwdze4fdb07iVSvcsiTEMyOcdzM66mJ11YZrgdAp8PnNbs9LLwXa0mub7Rpmv19JcynybUOgYicQZ7god52dmv0TRFV0V0D839osAPD79mTXfWw7Yr9dDV/F6TcbG6gwO6vh8rf1+2W1Dt53STAC+FXOz7ZigtUv/rT4XnXBuV/ahEBpm+s77aQz7KZedzM0Nc8stgmPHqgwN6bvaL8n2sNPMikTSLFL/kl6m2/QvDeYkPY3P1x3BumlaAfrcnJOZGTe6bgXogcDO64u/Y9b4ZmWKVOrzuFx9JBJP8/Dt/xKfbwyAB6b+0ArG1zChA9Z+b+F5LqqH0TSrHvroaIORkeby0Jtltw3ddsLKwDq/tMT65IVn1gyst2puth0TtHbpv9XnohPObTY2QXEkTiCQwzTrZLMR9HSUu++u8vjjxZY/fJK0l267WZNIWonUv6SXsZP+ZbAusT3VaucG6UJAoWAF6Om0C11XcDgEPp+xqr74dqhWp685uet6kXj8DPff/zlCodtv2nYjEzoFseo9XVNY0CIMldNEDlvl1qJRfcf9tRvNBNZbNTfbjhFbJ+u/E3A66/j9eVS1RqOhUKt5mZqKMTam8sgjVUZGFnf8sEyyN9jhJk0i2S5S/5Jexk76l8G6xPZ0mjOzaVoB+vy8k5kZF5qmoKoCv9/cccDbaCySTv8JqdRZisV3GB39GHfc8Vv09T2AoqwfcWxmQuerF1kUfQgBXq9gLJTF2dfHnXdWd9ZhG7McWAdK8wxkLuKt5TFR8NRLNy2L36rB2naM2DpN/3uNw9HA7y/gcFRoNBTqdQ/JZJRw2MmhQw1GR3VisdKOPRYke892q1dIJHZA6l/Sy9hJ//I2TmJ7OuGCXc5Bn5uzctANg2sBut+/07arzM5+jVTqHJnMCwwOfpCDB/82Q0M/haq6t9TGWiZ0wXqOb4Q+hmEofKzwaQIxE2csQFgUrDzpw4/vrOM2pxAaoS87xfD822guHyYOhhbexVQd6IoT94pl8Vs1WNuOEVsn6H8vcTi0peC8jKYpNBpuUqkowWCMiYkG8bjG4GAFl0sucbcbva59SW8j9S/pZeykfxmsS2yPpu3NTbiuWy7uMzNWmTXTpGVL3IUwyGS+QzJ5lpmZrxCN3kU8/jQnTvwuLld48wZuIB08xHNjv8hdmefpK80wo47y5/0fxziwn9FRjVntZ7ll6gVCxTTF0DBvH31iz/OLO51LB0/zkbe/hqk40J1eBhffxVAd5KNjDGQvMTV+CrCWxZ+/95e4cPJTS2Z0s+uOcTY2saXtVrJX+t8rVFXH7y/gdJbRNGg0XKTTEbzefg4dWg7Oq3g8NqjlKNkQO9XZlUiaRepf0svYSf8yWJfYHo9n9+qsNxoKuZyDmRkXmYxVZq1VJnFCCAqF10kmP0cq9Sxe7wjx+BmOHPlneL0jmzewAYYB75i38uPIrUT2G4yNNZgY0HE6awDkmOD8oAzOmyEbmyDbN463VsBbK+AwdTKxW2h4AnhrVk3ulfnmWzVYa9aIbTf1vzcIvN4yPt8ijQZompO5uQgORx+33KKRSGgMDNTx+Wp73VHJLmMngyGJpFmk/iW9jJ30L4N1ie1p98xiva6QzVoB+uKidUm5XIJgcOcBOkClcplk8hzJ5FlMs0EicYZTp75IMHjrjtoVwiq31mioOJ0m+/fXGRnRCQTs8zRyr5kbvg33Uo75+NTLOPU6Tr1GzWt5A2yWb94K7Dqz7nA0CIUWMAydXC7IwsIYt96qMTamMTjYwO+v73UXJXuMnWZWJJJmkfqX9DJ20r8M1iW2px3Xa7WqsLjoJJVykc87UBRwu03CYaMlZcvq9QXS6S+STJ6lUplkdPQTnDjxn7jN2c/J7LeJJc+S8Y7yWuwR0sFD1+qox2rpVa+vhaZBtepACOjv1xkbq9HXt7Gb+8p64YbiRABOoW9YO7xZ+jOXuOONL7Iv+SoA04m7eeP4J/as1vZmtdG3wsoc84XYIQ5MvoiiKEyO346nVtg037wV2Oj3CjAJBhdxOkuUy26mpoaZmBA88kiN4eGcdG2XrEIIez6okki2gtS/pJexk/6Vbj6YY8eOic9+9rN73Y0t8dxzYaam3ESj3b8co9uIxaxnUpmMvu02hIByWWVx0UEq5aZctqICj8fE4xEtCdB1vbxkFHeWbPZlhoY+RDz+NIODH0BVXYyWLvL49GesmudLJnAhLceF/vdzMvvtm15/buwXrwXspmnNomuagscj2LevwdCQtqW60SvrhTv1+oqA833oLq9lNrdG7fBm6M9c4n0v/mcGFiepesOAgreaIztwiO++71d3LWBfeawrDdx2cnzLwX+oOIupOBCAQxgUQ8Mte9CxEa3Q/17j8ZTx+zM0Ggrz8zECAS8nTtTYv7+Bx9O9v2GS9uJ2WwabjUZjj3sikew+Uv+SXqbb9H/8+PFXhBD3rvWenFmX2J7t1pk2TSgWHWQyDtJpN/W6gqKA12sSibTmoYtp6iws/CWp1DlmZ79GX999xONPc/LkH+B0Bldte1fmeSsgXyqvtvz38ek/4lLk+E2v35V5nin3LVSr1oOFoSGdRKJBJNLc8vyV9cJHpl6m5u8DxE0maTsJOicmXyBQzVD1RdBdPgBqioK/vLDjtpvtx1Zro2+VZnPMW0231ll3OLSlZe4a+XyQTGYfx483ePDBOtFofq+7J+kC7JCrKJFsF6l/SS9jJ/3LYF1ie5pxXl8usTY/72R21oWuK6gqeL0Gkcjmn98KQgjy+VdJJs+STn8Rn2+MePxpbrvtX+DxDK37uVgtzbx3dNVrZWeIgWqKN2IPXm/fhKweIVZKwygcOVJjcFDH7d7eDORyvXAAX62wNPPNmiZp2yVcnMGp16n5otde050evNU8oR223Ww/lo91mVYc316y08oDu4tYWuZepFx2c/nyEAcPCk6frjE6Kpe5S5rDTqV7JJJmkfqX9DJ20r8M1iW2x+HY+ILVNMvBfXbWKrFmGJaDu89ntjTQKZcvkkyeJZk8h6IoxONneN/7/oxAYO3c8hvJeEcJ6MVrM+cAAb3Igi9OQC+SJ4qmWbP/cX8W11g/p06Vd7xEvxAawbNkklb1hnHqdUC01CStEBphwPkOTr12bWbdqdfRne62G7Dd2I/lY11mN0zg2slm+u8EPJ4Kfn+Geh3m5vrx+fo4caLKE08U8XrlMnfJ9rDTzZpE0ixS/5Jexk76l8G6xPY0Gjff7C87uM/Oushmrzu4t6LE2koi2e9Tn/xdXlv8HnNGmf3DH+Xkyd8nEjnZ9BfJa7FHeHz6MwDXctMD9Rx/0v/XuDv3POGAgmfUR8yZJ9DIceHYp1qSS78bJmmXDp5mOPUjK2ddCFbmrF86eHrnB9FEP5aPdWXOertN4NrJWvrfaxTFxO2u4fXmEUIjnw+wsLCPO++s8+CDdfr6cnvdRYkNsJMbsETSLFL/kl7GTvqXwbrE9rjdVsS6sKCSzTpIp10Ui46l91rn4L6MrheZmfkKmSv/ncX8Be4MHuHxkZ/hpHeEqF7gOWeE9DZ2mA4e4rmxX+SuzPP0lWaYUUf5i9jH4fA+rnoHOT77bULFFEX/MBeOPdGyPOlsbIILJz/FxOQLeBplpg48eM0kreIJ8vbRne8rG5vgpYf+N+5444uMJV8FFKYOPLjrbvArjzVcnKUYGm7J8e0ly/rf/TrrAre7hstVxemsIYSBYSgYBgihUqt5mZsbZN8+ePDBGqOji122ZF/S6ahLT17tlLsokWwVqX9JL2Mn/Us3+F1CusHvDZWKiq67SKddTE9fN4hzu1vj4L6MaWrMz3+TVOosc3N/QX//+/iIe4D7/ePonoFr2wW0PFVniK+O/3LT+zAMqFQcGAZEIgb79jWIxXSc8pGbZANCIesHq1hsx1NmgctVx+2u4XBUURQdXVcwTRBCoVbzUi77UFUPkYjKwIDGwIBBMGgQDJoEAobUr6RtOJfEpevdWwlBItkuUv+SXqbb9C/d4CU9RbWqkMk4SSbdlEoqfX0KHo/Z8gclQggWF79PKnWOdPpPCAQmiMef5tixf4vbHeOn3/nXzLv7V32m7AwxUJtpYh/Wkv16XcXhgLGxBiMjGsGgfZb3SNpL6x4qCwKBPC5XEV0Hw1AQQqFe91Ao+BAiRCikMDho0N+vEw5bAXkwWMflqreqExLJlunmyQiJZKdI/Ut6GTvpXwbrEltQr1sBeirlIp93XJtBj0YNRketmcVUqjX7KhbfIZU6RzJ5DofDQzz+NA899Of4/eOrtlvPEC7rHbmxyZswDCiXHZgmRKMGt95apb9fl8uEJU3j81n6r1S2+4BHEAgs4nYXmJnpR1H2EY/rDAxohMMmwaBBKKThdndHLVNJ7+BY+sK0wzJIiaRZpP4lvYyd9C+DdUnX0mhYJnGplItczpKyx2PVQF+5xL1U2vnTtVotTSr1BZLJc9Trs8TjP8s99/x3wuHj6xrFrWUIF9JyvDT85JrbCwG1mjWL7nTC/v11RkZ0AgE5i74W/ZlLS7nlMxRCI1w6eLqrc8vbxfbrrAuCwSxOZ5F0OkYgsJ8PfKBCPL7Y0hSS7eKemiLw8su45ubQhoYonzpFY3x88w926H4krccON2kSyXaR+pf0MnbSvwzWJV2FpsHiopN02kUmcz1A38gkbrvu7ppWYGbmyyST58jnX2Nk5KPcdts/JxY7jaJsPsW90hBuoDZD1jvCS8NPkg6uLtWm61Yuumkq9PXpHDkiZ9E3oz9ziZMXnqHqi5JfKrd28sIzXDj5KRmw30Dz+heEwwsoSpl0epBIpI8PfajC6Gi+Hd3bFu6pKfqefRY9HEYbHkYtleh79lkWn3qqpYH0bu1H0h7sVLpHImkWqX9JL2Mn/ctgXdLx6DrkclaAvrDgRIjmXNy93uWNNp9hN4w68/N/QTJ5loWFbxGLPcz4+F9naOiPcTh8Tfc9HTx0U3AO1ix6tarSaKi4XCbj49Ysut8vZ9G3wsTkC1R90Wv10Jf/Tky+IIP1G3C5tvqDJYhE5hGiSjo9xMBAjCeeKDM83DlB+jKBl19GD4cxQyEAzFAIfen1VgbRu7UfSXtQW1mHUyLpMqT+Jb2MnfQvg3VJR2IYkMtZddBnZ10IYdVBDwabr4NeqWwcpAthks2+TDL5OWZmvkwodBuJxBmOH/9t3O6+HRzFzTQaCtWqdQADAzqJRI1oVM6iN0u4OEM+tDr3v+4JEi7O7lGPOpd6fWP9K4pJODyPEDWmp4eJx2M8+WSFgYHaLvWweVxzc2jDw6teM4NBXLOtPf+7tR9Je7DTMkiJpFmk/iW9jJ30L4N1ScegadYM+uysNYNumuB0bi9AX4nHs/bMeqHwFqnUWZLJc7hcYeLxpzl9+i/x+/dtf2drsLLkWjBocuRIjYEBHY/HPk6Vu01haen78ow6gKdeohga3uBTvcl6M+uKYhKJzGIYGlevDrNvn4OPf7xCLFa9adtOy9vWhoZQS6VrM94AaqmENjTUlfuRtAc71dmVSJpF6l/Sy9hJ/zJYl+wp9brC4qI1g76cg+5yCQKBnQXoKzHN60FxtTpNKvV5ksmzaFqOePwM9933DOHwsdbsbInlZe6apuBwCMbGGgwPWyXXbJRGs2dcOniakxeeAawZdU+9hK+a4+2jT+xxzzqPG8uXKIpBJDKLphlMTY0wMaHwsz9boa9v7R+0TszbLp86ZfUJa6ZbLZVwFgosPvZYV+5H0h7sVLpHImkWqX9JL2Mn/ctgXbLrVKvKNZO4fN5a/91MDnqzlMs5rlz5Ey5ePEux+BYjIz/DsWP/lv7+96Eorc1puXmZuyaXubeBbGyCCyc/teQGP0sxNMzbR5+Q+eproOvWX1XViURmaTRMLl8e5cgRwdNPV4hENvZJ6MS87cb4OItPPWXN9s/Oog0NsfjYYy3vz27tR9Ie7HSzJpE0i9S/pJexk/5lsC7ZFcpldanMmpty2QpmN3Nx3wmGUWNu7uskk+fIZr/D2NijHDz4qwwOfgiHw9PifS27uUMgIJe57xbZ2IQMzreA32/g8aRZXDSZnBzhtttMHn64TCi0NTPDTs3bboyP70rQvFv7kbQeO9XZlUiaRepf0svYSf8yWJe0BSGgVFJZWHCSTrup1RQU5Xod9Pbs0yCTeZFk8nPMzn6FcPhOEokznD79f+F2RygUWhc837jMfd++BkNDcpm7ZO9RVQO/v4DTWULToFp1kU6PMjGh8eijZQKB5ioOyLxtSbdih5s0iWS7SP1Lehk76V8G65KWYZpQLDqWAnQX9bqCqoLPZ2661Ha7CCEoFN4gmTxLKvUFPJ4B4vEzHDnyT/B648BKg7mdU68r1GpymXs30J+5tLRMfoZCaIRLB0/bciZeUQz8/iJudxFNg0bDwdxcBFXdx8REg0OHTAYGSjid+rbal3nbEolEIpFIJHuDDNYlO8I0oVBwMD9vBei6rqCqAp/PxNd8WfItU6lMkUyeI5U6i2HUiMfP8MADnycUOnrTtoGAFazn89ubWdf168vcg0GTo0drxGJymXsn05+5xMkLz1D1RckvOcefvPAMF05+qusDdkUx8XpLeL0FdF2gaSqZTATTHOPgQZ2jRxsMDekEAosAuN1uQKXR2N7+ZN62pFux0zJIiaRZpP4lvYyd9N+2YF1RlD8EngTmhBB33PDerwO/BQwKIRYURVGA/y/wEaAC/C9CiFfb1TfJzhDCCtDn5lYH6H6/2dYZ5kYjQzr9JySTZymX32Nk5OMcP/4f6Ot7AGWDteelUvNBtWlay9x1XcHpFOzfX2d4WCcYbM8KAUlrmZh8gaoveq202/LfickXujBYF9eCc8Mw0DQH+XyIubkEBw4Y3Hprg8FBjVAot+anW/FDJfO2Jd2IHW7SJJLtIvUv6WXspP92zqz/N+B3gE+vfFFRlH3A48CVFS9/GDi89N8DwO8u/ZV0CMsB+vIMuqbtToBuGBVmZ7+6ZBT3EkNDP8WhQ3+PwcEPoKruLbXh3tpmANRqCvW6tcx9aEgnHm8QjbaujJxkdwgXZ8iHRla9VvcECRf31hRtq7jdFfz+HIaho2kqpVKIublR9u83OXTImjmPRHJbastOtUYlkmaQ2pf0MlL/kl7GTvpvW7AuhPi2oigH1njrt4H/J/AnK177OPBpYfnsv6woSlRRlFEhRLpd/ZNsznoBus9n4ve3b7+mqZPJfJtk8hyzs18lGr2bROJpTp78fZzO0OYN3MBmhm/Ly9yFgFDIZGLCWubudstl7t1KYWnp+/KMOoCnXqIYGt7gU3uPy1UjFJohmw2ysDBMIgG33lpnaEgnGs1L80KJRCKRSCSSHmJXc9YVRfk4kBRC/PCGZcsJ4OqKf08vvbZhsK4oCg6HA0VRUBQF0zRRVRUhBEIIHA4HhmFs+j5w7f+Xn8SYprnm+yvbcjgcmKa5pX1Fo04WFhSCQRWXS6FeF7hcCkIIdB18PpVq1VxyTFeo1QROpzVGui7weq3PCHF9W6fTGgNNE3g81l/TvP6+wwEOh0KjIXC7FQxDYBjX31dVbuqLpoGuO0kmVWZnXXg8KuWySTxu4nIJ6nUIBFSqVbGUw61QKglcLmtftZrA57P2aRjX33c4wO1WqFatYzEMa1/L7yuKoFx+jR//+HNcvfosfn+C8fGnefTR/wMhhhBi9b5U1eq332/tc2VfnE7ruKpVqy8ej1VeLR633ldVqy+ZjILLZbm5T0w02L/fRFGMpXOgXjsHigKatvY5WDnGa52DlWO81jlYeb6tc3Dz+fZ6l/XQ+vPdSdrT9evHemNftnoOhirTJC6+RKx2lRh50sYohdh+fEoDZ0bj7XseIxRSmz4H7T7uQEDH4UhSLLoplQ5xzz1lbrmlisOx8ruIdb+LNvreUxRlz7732v0dvJ19LY/H8r72si+7fQ567biXcblcq953XrlC6K23UK9eRR8cpPbAA9RGRqT2pPZs9b23fI9smmZPn4NePe5e/811OBzX3usW7a3HrgXriqL4gX+CtQR+J+38CvArAPF4vAU9kwgBxaJCJuPiyhUXPp8VoPt8JqGQFUg726SUfP4Sb731OaamzqEoBvv3/zxPPPGnhMO30GiA369QLu9shtvvVzAMK3e9VlMwDBWfDwYGNMbGdIJBY0XA1aIDk+w60exljl36KmXFz/zQrQgjy9Cl1/CYDRbHbuPHx5+i0rcfjM5ZMaEoOqFQGl1XSaX2cffdGrffXkRR9E2/vLeKqqota0si6SZUVUVRFHT9eiUEdzJJ+CtfwRweRh8cRK1UCP/5n2M8+iiG9GWQ2Aj53S/pZZa1v/L7v1tRrJXnbWrcWgb/p0KIOxRFOQ58A8tADmAMSAH3A/8H8JdCiP+59Ll3gEc3WwZ/7Ngx8dnPfrZd3W8pzz0XZmrKTTTaGbkTyy7umcz1MmsOB/h8RtsC82Xq9XlSqWdJpc5SqVwhHn+KePwM0eg9bGQUt12CQYVq1UE2K4hEDMbGGvT367hcLd+VZA+59/yncd+49L1WoOEJcv7eX9rDnt2MophEIrNomk4yGefOOw3uvLOCz9f67+PlGUY75G1JJM2wlvb7PvtZ1HIZM3Q9pUotFjEDARY/+cld76NE0i7kd7+kl+k2/R8/fvwVIcS9a723azPrQog3gKHlfyuKchm4d8kN/kvA31EU5RksY7m8zFdvPboO+byTuTknc3MuDINdKbNm7bvEzMxXSKXOsrj4A4aHn+Dw4X/MwMCjqGrrZSiE5ebeaCg4nbBvX50jRxptCYYknUF3mMoJwuF5oMrU1CiHD6v8wi+UZJUBiWSXcM3NoQ2v9q4wg0Fcs530PSGRSCQSiUU7S7f9T+BRYEBRlGngN4QQ/2Wdzb+CVbbtPayZ9/+1Xf3qNRoNhVzOwcyMi0zGiRDgcAh8PgNHG13cAUxTY2HhL0kmzzI39xx9fQ+QSHySu+/+bzidgbbsc6VZXCymMzbW4JZbFFQVMhkZqNuZzjaVEwQCi7hcBaanhxkdjfFzP1emr6/9T3y77emyRNIq1tK+NjSEWiqtnlkvldCGhm76vETSzcjvfkkvYyf9t9MN/hc2ef/Aiv8XwN9uV196jWpVYXHRycyMi1zOClzdbkEw2P4SZEIIcrnzJJNnSae/iN9/kETiaW6/4CWV/QAAJoJJREFU/d/g8Qy0aZ/XZ9HdbsHERJ2hIe3aLPpyKTaJRX/mEhOTLxAuzlAIjXDp4OkurD1+M5cOnubkhWcAa0bdUy/hq+Z4++gTe9ovn6+Iz7dAKhUjENjPRz5SZni4tmv7t8MPlUSyHdbSfvnUKfqefRYda0ZdLZVwFgosPvbY7ndQImkj8rtf0svYSf+76gYvaQ9CQLmsks06SKXclMsOFEXg8ZiEw5a7ebsplX5CMnmWVOrzKIqTROIMDz74dQKBg23b51qz6H19Nz+QaPcKgm6iP3OJkxeeoeqLkl+aiT554RkunPxU1wfs2dgEF05+aulBxCzF0DBvH31iz47L7a4QCs0xNxemUDjIo4+WGBvb/fJr7fCBkEi6gbW03xgfZ/Gppwi8/DKu2Vm0oSEWH3uMhjSXk9gM+d0v6WXspH8ZrHcppgnFooOFBQfptJtGwxKlz2cSje6O82GtNkMq9QVSqXPUamni8ae4++7/Qjh8om0XyWaz6GvhcNjngt0pE5MvUPVFry0VX/47MflC1wfrYAXse30cTmedcHiGxUUfV64c4PTpChMTi21f1bIedvrBkkiaYT3tN8bHZXAusT3yu1/Sy9hJ/zJY7yKEsBzcZ2asJe6mqaAou2MQt4ymFZid/TOSybPkchcYGfkIR478MwYG3o+itG8Ke6uz6GvRaMhc9WW6w4StO3E4NCKRGUolJ5OT+3nf+2ocObLY9uoKm2Ga0rxO0ptI7Ut6Gal/SS9jJ/3LYL0LqFRU5uedTE+7qdcVVFXg95u7trzbNBvMz3+DZPIs8/PfIBY7zb59f4177/0jHI72PSXYziz6Wng81tO1SmWTDXuAzjZh604UxSAanaFeF1y8OMY99zR44ok8Hk9nPCRarjVqp/wtiWQrSO1Lehmpf0kvYyf9y2C9Q2k0FDIZJ9PTLgoFB6pq1UCPRHZn/0KYLC5+n2Tyc6TTXyIYvJVE4mnuuOO3cLv727pvTVOoVKyLrNlZ9LXb64ygqRPoVBO27sQkEpnDMBpcuhTn2DGTD3yggN/fWU9zLf9OiaT3kNqX9DJS/5Jexk76l8F6B2EYkMs5SSZdLCxYp8bjMYlGd++pULH4Y5LJc6RS53A4AiQST3P69Dfx+/e3db+GYa0gME0Vr9fk8OEag4M6Xu/OLzYbrYTZMZ1mwtadCMLhBaDClSsjHDzo4JOfLBOJdKbQ7PSDJZE0g9S+pJeR+pf0MnbSvwzW95jlPPTZWSfptBtdV3C7d8/FHaBaTZJKfZ5U6hyNRoZ4/Az33vtHhELH2mrQIATUagqNhorDAaOjDUZHNUIhs6XH7vNZU/KVSmcGU7tNJ5iwdSeCYDCH05lnenqIoaEYTz1VIhbr7CVWdqo1KpE0g9S+pJeR+pf0MnbSvwzW94hKRWVhwcHVq54VeejGruWha1qedPpLpFLnKBTeYGTkSW677V8Tiz3YVqM4sJb4V6vqNbO4RKJOf7/etmOvVmWQLtkZPl8Bny9zrVb6hz9cZmQkv9fd2hJ2+KGSSLaD1L6kl5H6l/QydtK/DNZ3EU2DdNpJMukmn3eiqpaT+24tnzWMOnNzz5FKnWVh4XkGBh5hfPxvMjT0IRwOb5v3bT2gMAwFn6+1y9w3Y69KZkm6H4+nTCAwz/x8mGJx72ql7wQ7lS+RSJpBal/Sy0j9S3oZO+lfBuu7xNSUi/Png3g8Jh6PSSSi78oNvxAmmcyLpFJnmZn5M0KhYyQSZ7jzzv+IyxVt876vu7k7nRCPNxgZaf0y981wuexzwUp2B5erRjg8SybjZ3HxAA8/XObAgb2rlb4T7PSDJZE0g9S+pJeR+pf0MnbSvwzWd4lczonTaRKJtH9ZhhCCYvFNksmzpFLncLtjxONnePjhb+PzJdq+/+Vl7rC8zF2jr699y9w3o163j8mEpL04HA0ikRkKBTeTk+M8+GCVw4f3vlb6TrBTrVGJpBmk9iW9jNS/pJexk/67+BZUciOVylVSqXMkk2cxjDLx+Bnuv/8codBtbd+3YViz6MvL3G+9tcbAwO4sc98Mt1vWWZdsjKrqRKMzVCoKly7t4/776zz5ZA6Xa+/1u1PsVGtUImkGqX1JLyP1L+ll7KR/Gax3OY1GlnT6T0gmz1Iqvcvo6Mc4fvzf09d3P4rS/jW7tZpCva6iqnu3zH0zDKP7Ay5Je1AUk0hkhkbD5OLFUU6cMPipn8rj89lHM3YqXyKRNIPUvqSXkfqX9DJ20r8M1rsQw6gyO/s1ksmzZLMvMjj4GIcO/RqDg4+hqu5d2D+Uyw5MEyIRg0OHqgwM6B27VNgGD9UkO0bgcjVwuao4nXUUpYFhgGnC5csjHDkCf+WvlAgG7bNsahk7/WBJJM0gtS/pZaT+Jb2MnfTfoeGV5EaEMFhY+Dap1DlmZr5CNHqSROJp7rrrP+NyhXdh/ytrogv2768zMqITCHR+cCPrrPcGimLgdtdwuWo4HHWEMDAMBdO09NtoeCgWfRhGgEDASX+/QSym89BDVaJR+z7RsVOtUYmkGaT2Jb2M1L+kl7GT/mWw3sEIISgUfkgy+TlSqWfxekeJx89w5Mg/w+sd2ZU+6DpUKtYsen+/ztGj9T01i9sOss66nRD4fEWcTisgNwwwDAUhwDRVqlUf2awfVY0SiajEYhqxmEEwaOL3GwSDOh6PttcHsavY4YdKItkOUvuSXkbqX9LL2En/MljvQCqVyySTZ0kmzyGERjx+hlOnvkQweHhX9r9cck3TFFwuwcREnaEhrWvzeDspf16yfbzeIj7fArOzMRqNKD6fk74+wfCwTiRiBeSBgEEgUMPhqO11dyUSiUQikUgkkh0hg/UOoV5fIJ3+Isnk56hULjM6+hQnTvwO0ei9u1YrUNMUKhVryfjAgM7YWINo1OjK2tIr8Xis8SuX97gjkm2hqjp9fSkyGR/l8kE+9KEig4Nl+RBmi9hpKZhE0gxS+5JeRupf0svYSf8yWN9DdL3M7OxXSSbPsrj4PYaGHufw4X/EwMCjqKprV/pgmlCpWCXXvF7B4cM1hoZ0PJ7unEVfi1qtc46lP3OJickXCBdnKIRGuHTwNNnYxF53q2MJBrOoapH33hvjgQca3HHH4k0pGO6pKQIvv4xrbg5taIjyqVM0xsf3psMdiB1+qCSS7SC1L+llpP4lvYyd9C+D9V3GNHUWFv6SZPIsc3Nfp6/vPhKJn+fuu/8LTmdwV/ogBNTrCrWaVXJteFgjHteIRAxbzla6XJ1xUP2ZS5y88AxVX5R8aARPvcTJC89w4eSnZMB+A05ng0gkSSoVIxzexyc/WSQSudl7wD01Rd+zz6KHw2jDw6ilEn3PPsviU0/JgH0JO9UalUiaQWpf0stI/Ut6GTvpXwbru4AQgvn5V5ic/CLZ7Bfw+/cTjz/N7bf/KzyewV3rh6ZBtepAiOsl12IxA5erc2ae20GnVG+YmHyBqi9K3Wu59y//nZh8QQbr1xBEIrNoms6lSwd49NEqhw7l132IFHj5ZfRwGDMUAsAMhdCXXpfBukQikUgkEomkm5HB+i5w6dIlXnzx1wmHP8mDD36VQGD3AjPDsJa5m6aCx2OZxQ0O6vj9veOQruudEa2HizPkQ6td/OueIOHi7B71qLPweCoEgzNcvjzKwYMu/upfzW9qauiam0MbHl71mhkM4pqVY7qMafbOtS6RrERqX9LLSP1Lehk76V8G67vAoUOH+PjHv8t773kJBNq/HGNlTXRVhdHRBiMjOuGwPZe5b4bXax10pbK3/SgsLX1fnlEH8NRLFEPDG3zK/iiKSTSaolBwkUxO8MQTJeLxrbm5a0NDqKXStZl1ALVUQhsaald3uw47maxIJM0gtS/pZaT+Jb2MnfQvg/VdYjcc3RsNhWrVytHo79dJJKya6M4eP8v1emfMrF86eJqTF54BrBl1T72Er5rj7aNP7HHP9g6/P4/bneXSpX2cPGlw112LuJrwViyfOmXlrGPNqKulEs5CgcXHHmtbn7sNO/xQSSTbQWpf0stI/Ut6GTvpv8fDuO7HWubuwDTB5zO59dYaAwM6Xm9nBKidQKfkrGdjE1w4+aklN/hZiqFh3j76RE/mqzscGtFoitnZEC7XAX7u54rEYs1/sTbGx1l86inLDX52Fm1oiMXHHpP56hKJRCKRSCSSrkcG612IEFCtqmiagsMhGBtrMDysEQyaPbnMfTM6ZRk8WAF7Lwbn1xGEwwuYZpWLF/fz0EM1jh7NsWTauS0a4+MyON8AOy0Fk0iaQWpf0stI/Ut6GTvpXwbrXYSuQ7lsiW9gQCeR0IhG9ZvqTktW00l11nsZl6tGOJzm6tUhhof7+YVfKBAM2scApFOxww+VRLIdpPYlvYzUv6SXsZP+ZbDeBdRqVk10l0tw6FCd4WFNLnNvgl7P2d8eAlVt3RddODxHpQKXL0/w2GMlxscLLWtbsjG74ZchkXQiUvuSXkbqX9LL2En/MozpUEwTymUVw1CIRAxuvbVKf7+cRd8Odrpg243bXSEQyFCvg6434fS2CVeuDHDkCDzxxCIej3zQtJtI/Ut6Fal9SS8j9S/pZeykfxmsdxiaplCpWAm88bhGItEgFJJLhXeCpsngcCMUxSQUyqAoFfL5AAsL+zhxos6BAw0cjtaMndNZlTreI+xUa1QiaQapfUkvI/Uv6WXspH8ZrHcAy4ZxjYaCxyO49dYaQ0M6brcMMluBx9M5BnOdxMpZ9FRqkFgsxv33VxkbW5QrOGyEnUxWJJJmkNqX9DJS/5Jexk76l8H6HrJcds0wrLro+/c36OszduSMLbkZObN+nZWz6IWCn6kpaxb99OkakUh1r7snaQN2eroskTSD1L6kl5H6l/QydtK/DNb3gEZDoVpVUVVIJBrE4xqBgH1E1WnY6HrdNm53lUBg4dosen9/jPvuq5JILEoDPpsjhHxYJelNpPYlvYzUv6SXsZP+5W36LlKvq+Ry4PebHD1aY3BQw9U6Dy/JOvh81lKFSqW3ovabZ9HHOHGiIWfReww7LQWTSJpBal/Sy0j9S3oZO+lfBuu7hN9vMjCgceRInWjUwEYmhR1PtdpbQbrbXSUYXGsWPSdn0XsQO/xQSSTbQWpf0stI/Ut6GTvpX9667xKHD9dxuwXRqH3E0y30glmaopgEgxlUtUI+7+fy5THuvLPBQw/JWfRex07lSySSZpDal/QyUv+SXsZO+pfBusT2OBz2uWBvZHkWvVaDdHqAvr4B7ruvwtiYnEWXWNjpB0siaQapfUkvI/Uv6WXspH95Oy+xPY2GfUwmYHkWPYvDUV41i376dJ1IpLbX3ZN0GHZyRJVImkFqX9LLSP1Lehk76V8G6xLb43bbo866y1UjGJyn0VieRe/n3nurchZdsiHqUi1IO+VvSSRbQWpf0stI/Ut6GTvpX97iS2yPYXTzzLpJKLSIw1GiUPBx+fIYx49rPPhgjWhUzqJLNsdO5UskkmaQ2pf0MlL/kl7GTvqXwbrE9nTjQzVrFn2BRkMwMxMjHO7j5Mkq+/fLWXRJc9jpB0siaQapfUkvI/Uv6WXspH952y+xPd1TZ10QDGZxOpdn0ePccYfO+95Xo68vv9edk3Qpdqo1KpE0g9S+pJeR+pf0MnbSvwzWJban0+usu1z1pVx0wexsjFCoj5Mna+zbl8fl2uveSbodO/xQSSTbQWpf0stI/Ut6GTvpXwbrEtuz5DHRUaiqTjCYRVWrFIteJicTHDumcepUjf5+OYsuaR12Kl8ikTSD1L6kl5H6l/z/27vXGLnO+77j3//Mzt6Xu9zl2qJErSnXulikbEkkJDGmVclRFMt25FtgRE6R1EjrGkiapoFbuHDvQYoWeeE6KBAksV03QOo4NqIkdY3WRpzEQuLYlSxZVuz4EupGgRQpcnnZ5d7n6Ys5pLYsJXHI3Z3Z5/l+AILnPGdmzjPL39nhf85zzlOynPJvsa7sNRrdccBGrDA8PE29PsvcXIPnnptgfHwbb3zjPFNTJ2k08rm+Rt0jpw8sqR1mXyUz/ypZTvm3WFf2FhY6VwRHNBkamqanZ4b5+R4OHZpgy5Zxdu+e55575hkc3OTzyanr5TTXqNQOs6+SmX+VLKf8W6wrext/Zr3J8PBJGo3TzM/XOHJknIGBcXbtmufuuxcYHp7b4P6oZDnNNSq1w+yrZOZfJcsp/xbryt7GTN+QGBo6SW/vKRYWgqNHx2k0pti9e44771xky5aFDeiD9P/LafoSqR1mXyUz/ypZTvm3WFf2lpfX65UTg4On6Os7ycJCcOzYGBFT3HTTPPv3LzI6Or1eO5YuWk4fWFI7zL5KZv5Vspzyb7Gu7K31POsDA6fp759mcTGYnh6l2Zzixhvn2bdvkfFxC3R1l5zmGpXaYfZVMvOvkuWUf4t1ZW+t5lnv759hcPAoR46McfToFDfdtMBtty0wMTFNRjedVGZy+KCSLoXZV8nMv0qWU/4t1pW9yy2kG40Ftmw5zLFjQ0xPX8Ndd81y9dUW6JIkSZLWj8W6stfX16qqZ2fbe16ttszY2GFmZuocOPAa9u8/w7XXTlONrJE2hZyGgkntMPsqmflXyXLKv8W6sjc/395NJiKajI4+z+LiCgcOXMmtty5x330n6O3N52YVKkcOH1TSpTD7Kpn5V8lyyr/FurLX03Ox49UTIyPHqNVmefrp7Vx3XfD+959maGhtrnmXOiGnuUaldph9lcz8q2Q55d9iXQIGB0/S13ec5557Fdu2jfOe98wwPr75D3BJkiRJm5PFurK3vPzSw9d7e88wMnKE558fpVbbyb33zrJ9+8kN7J20vppNR4aoTGZfJTP/KllO+bdYV/b6+1vD4M+cebGtXl9kdPQwJ0/28cwzO7nzzll27jxBNWpGykZON1mR2mH2VTLzr5LllH+LdWVvYeHFM+sRK4yNHWJuLjhwYIrbb5/j9a+fptHoYAeldZTDB5V0Kcy+Smb+VbKc8m+xruylBJAYHX2elZUFnnrqSnbvbnLPPScYGPAO75IkSZK6j8W6shDRpF5fol5fpl5folZbJmKZWm2ZwUFIqcn3v/8qpqZ6eN/7ZtmyJZ9rWaSXk9NQMKkdZl8lM/8qWU75t1hXV4pYoa9vjnp9mYgXi++UoNmEZjOqM+YtzWaN5eUGZ840WFrqodnsp17vobe3Rq1WY2RkhfvvP8Pk5Fzn3pTUATl8UEmXwuyrZOZfJcsp/xbr6jJNRkePsLKyyIkTW1hcbACD9PTU6O2tMzjYZGioyfBwk8HBJr29ib6+RG/v6uUlenqWzr1iT08r5svLyx16T1LnRESnuyB1hNlXycy/SpZT/i3W1SUSIyPHiJjl2WevYOfOOvfdd4aRkUXq9cXLeuWcDlipXeZfpTL7Kpn5V8lyyr/FujpuaOgEvb0nOHhwksnJcd71rhkmJtZu+EpOcy1K7TL/KpXZV8nMv0qWU/4t1tUx/f2nGRx8gUOHxhkYeA1vfessV1xxcs33U6smT8/p+hXpYpl/lcrsq2TmXyXLKf+19XrhiPhURByJiCdWtf1KRDweEY9FxJci4sqqPSLi1yPih9X2W9erX+q83t4zjI8/xZkzixw+fA133tnDe95zgiuuWHrlJ1+ClBIpOUWbymT+VSqzr5KZf5Usp/yvW7EOfBp463ltv5ZSekNK6WbgC8C/rtrvA66t/nwQ+I117Jc6pKdngfHxZ1henuGZZ3ayZ88ADzwwzdTUIut5aUlOB6zULvOvUpl9lcz8q2Q55X/dhsGnlL4aETvPazu1anUIOPtTfCfwO6n1U/2riBiLiO0ppUPr1T9tnHp9idHRw8zM9PDkk1ezb988118/Tc8GXYSR01yLUrvMv0pl9lUy86+S5ZT/Db9mPSJ+FfgZ4CRwd9V8FfDsqocdrNpetliPCOr1OhFBRNBsNqnVaue+TanX66ysrLziduDc8tlrHJrN5gW3r36ter1Os9m8qH2NjfXwwgvB8HCNRiNYWEg0GkFKieVlGBioMTfXJAL6+oL5+URPT+t08/Jyor+/9ZyUXnxsT0/rZ7C0lOjra/3dbL64vV6Hej1YXEz09gYrK4mVlRe312pcsC/9/a39n9+XCFhaunBfVu/rbF9SWmHr1sOcPt3k6NGrueWWFd7+9hkGBoKUejbs3yCi9d56e3vPba/Vauf2tVZ56NbsrXdfLmVfJf8bbPT7hta1Wz09G3fMmT2z1w3v+6xGo2H2zF5xv/fOPv/s/5NL/Tco9X37mVs7t22zZO+lrOcw+AtKKX00pXQ18LvAL7T7/Ij4YEQ8HBEPT09Pr30HtQaaDA0dorf3IIcOXcHExKt573tn2b17jr6+jR+SsrpokUpj/lUqs6+SmX2VLKff/3H227d1efHWMPgvpJR2X2DbFPDFlNLuiPhN4M9SSp+ptn0PuCu9wjD4Xbt2pc9+9rPr0PO196UvbeHpp3sZG9v8wzFeWmJk5AUizvDss1dwzTV19u6dZXS0s9MnNBoNAJaW1ucGdlI3M/8qldlXycy/SrbZ8n/TTTc9klLae6FtGzoMPiKuTSn9oFp9J/A31fIfA78QEb8H3A6cfKVCXd0i0d8/y8DANEtLicOHtzE5OcG73722c6VfjpzmWpTaZf5VKrOvkpl/lSyn/K9bsR4RnwHuArZFxEHg3wBvi4jrgSbwNPCh6uFfBN4G/BA4A3xgvfqltZDo759hYOAEi4uJU6dGOHr0am64YZE9exZ41avWfq70y5HTXItSu8y/SmX2VTLzr5LllP/1vBv8Axdo/uRLPDYBP79efdFaSAwMzNDff4LFRTh5coQXXtjBjTcusWfPApOT07zC/RE6Zj0v9ZC6nflXqcy+Smb+VbKc8r/hd4PXZpIYHDxNX98JFheDEye2cPTo1ezatcDevYtMTp5gM9y7IacDVmqX+VepzL5KZv5Vspzyb7Gu8yQGB0/R13eShYXgxIlRlpen2LVrgdtuW2RiYnpTFOirnZ3CJ4ehMFK7zL9KZfZVMvOvkuWUf4t1AYmhoZP09p5icTE4fnyMlKa48cZ57rhjkfHxzVegr5bDgSpdKvOvUpl9lcz8q2Q55d9ivWB9fbMMDh5jfr7GsWNjREyxe/eLBXoucplnUboU5l+lMvsqmflXyXLKv8V6cRIjI8ep12eYnh7m2LEpbrllnv37Fxkby6dAX63WrXe+kzaA+VepzL5KZv5Vspzyb7FeiHp9iZGRIywvr3D48DbGxrZyxx1z7NjRvXdxXys5DYWR2mX+VSqzr5KZf5Usp/xbrGeuv3+GwcFjzMw0eOqp7Vx//TI/8RPzTEx011zo6ymnuRaldpl/lcrsq2TmXyXLKf8W61lqVkPdZzl+fJhjx17D3r1z3HvvKQYG8pnK4GLlNH2D1C7zr1KZfZXM/KtkOeXfYj0j9foSW7YcYWlphUOHJtm6dZx9+8oY6v5ycjpgpXaZf5XK7Ktk5l8lyyn/FusZ6O+fYWDgOLOzDZ58cjuvf/0yt98+z/j4fKe71hVymmtRapf5V6nMvkpm/lWynPJvsb5pNRkZOUatdobp6RGOH59i7945fvzHT9Hfn8+3SWshhwNVulTmX6Uy+yqZ+VfJcsq/xfomEbFCb+88jcY8PT1zLC0lDh/exvj4BD/yI3NcdVXZQ90lSZIkKScW610kolkV5HPU6/PACktLNVKCZrPG3NwAx44N0miMs3PnEvv2zbN1q0PdX0lOQ2Gkdpl/lcrsq2TmXyXLKf8W6xssokmjMU9v7zz1+jwprbCyEqysQEo15uf7OX58kHp9K2NjMDm5zNaty4yMNBkeXmFoaL4q5HWxcjhQpUtl/lUqs6+SmX+VLKf8W6xvkJGR55icrFOvw9zcANPTA0SMsnVrjYmJJbZtW2F4eIXh4SZDQ/P09FiQr5Wc5lqU2mX+VSqzr5KZf5Usp/xbrG+Qqalxtm6tnyvIh4ctyCVJkiRJF2axvkGuumoJWOp0N4rUbDY73QWpY8y/SmX2VTLzr5LllH/vH67s1ev1czeakEpj/lUqs6+SmX+VLKf8e2Zd2cvhehXpUpl/lcrsq2TmXyXLKf+eWZckSZIkqctYrCt7OQ2Fkdpl/lUqs6+SmX+VLKf8Owxe2ctpKIzULvOvUpl9lcz8q2Q55d9iXdmLiE53QeoY869SmX2VzPyrZDnl32Jd2cvpgJXaZf5VKrOvkpl/lSyn/FusK3s5zbUotcv8q1RmXyUz/ypZTvn3BnPKXq1Wo1Yz6iqT+VepzL5KZv5Vspzy75l1ZS+l1OkuSB1j/lUqs6+SmX+VLKf8W6wrezkdsFK7zL9KZfZVMvOvkuWU/zzGB0gvI6e5FqV2mX+VyuyrZOZfJcsp/55ZV/ZymmtRapf5V6nMvkpm/lWynPJvsa7s5TR9g9Qu869SmX2VzPyrZDnl32Jd2cvpgJXaZf5VKrOvkpl/lSyn/FusK3s5zbUotcv8q1RmXyUz/ypZTvn3BnPKXk5zLUrtMv8qldlXycy/SpZT/j2zruzlNH2D1C7zr1KZfZXM/KtkOeXfYl3Zy+mAldpl/lUqs6+SmX+VLKf85zE+QHoZOc21KLXL/KtUZl8lM/8qWU75j838zUNEHAWe7nQ/tClsA17odCekDjH/KpXZV8nMv0q2mfL/mpTS5IU2bOpiXbpYEfFwSmlvp/shdYL5V6nMvkpm/lWyXPLvMHhJkiRJkrqMxbokSZIkSV3GYl2l+K1Od0DqIPOvUpl9lcz8q2RZ5N9r1iVJkiRJ6jKeWZckSZIkqctYrCs7EdEfEd+IiG9FxF9HxL+r2q+JiK9HxA8j4rMR0dvpvkrrISLqEfFoRHyhWjf7KkJEPBUR346IxyLi4aptPCK+HBE/qP7e2ul+SmstIsYi4vMR8TcR8d2I2Gf2VYKIuL76nX/2z6mI+KVc8m+xrhwtAG9JKb0RuBl4a0TcAfwn4GMppdcB08DPda6L0rr6J8B3V62bfZXk7pTSzaum7PkI8CcppWuBP6nWpdx8HPhfKaUbgDfS+gww+8peSul71e/8m4E9wBngQTLJv8W6spNaZqrVRvUnAW8BPl+1/zfgXRvfO2l9RcQO4O3AJ6r1wOyrbO+klXsw/8pQRIwCdwKfBEgpLaaUTmD2VZ4fBf42pfQ0meTfYl1ZqoYBPwYcAb4M/C1wIqW0XD3kIHBVh7onraf/DPxzoFmtT2D2VY4EfCkiHomID1Ztr04pHaqWDwOv7kzXpHVzDXAU+K/VJVCfiIghzL7K81PAZ6rlLPJvsa4spZRWquEwO4DbgBs62yNp/UXEO4AjKaVHOt0XqUP2p5RuBe4Dfj4i7ly9MbWmwHEaHOWmB7gV+I2U0i3ALOcN+TX7yl11P577gc+dv20z599iXVmrhoH9KbAPGIuInmrTDuC5TvVLWidvAu6PiKeA36M1/P3jmH0VIqX0XPX3EVrXLN4GPB8R2wGqv490rofSujgIHEwpfb1a/zyt4t3sqyT3Ad9MKT1frWeRf4t1ZSciJiNirFoeAH6M1o1W/hT4yephPwv8UUc6KK2TlNK/SCntSCntpDUU7CsppZ/G7KsAETEUESNnl4F7gSeAP6aVezD/ylBK6TDwbERcXzX9KPAdzL7K8gAvDoGHTPIfrVEBUj4i4g20biRRp/WF1O+nlP59RLyW1tnGceBR4O+llBY611Np/UTEXcCHU0rvMPsqQZXzB6vVHuC/p5R+NSImgN8HpoCngfellI53qJvSuoiIm2ndWLQXOAB8gOr/QJh9Za76gvYZ4LUppZNVWxa/+y3WJUmSJEnqMg6DlyRJkiSpy1isS5IkSZLUZSzWJUmSJEnqMhbrkiRJkiR1GYt1SZIkSZK6jMW6JEldKiJWIuKxiHgiIj4XEYPrtJ+IiK9ExJbLfJ1PRMSNr/CYT0fET16gfWdEvH/V+k0R8enL6Y8kSZuZxbokSd1rLqV0c0ppN7AIfGid9vM24FsppVOX8yIppX+QUvrOJT59J3CuWE8pfRvYERFTl9MnSZI2K4t1SZI2h4eA10XEUER8KiK+ERGPRsQ7ASJiV9X2WEQ8HhHXVu2/XJ2ZfyIifuklXvungT+qHv/PIuIXq+WPRcRXquW3RMTvVsv3RsTXIuKb1Rn/4ar9zyJib7X8cxHx/apPvx0R/2XV/u6MiL+MiAOrzrL/R+DNVf//adX2P4CfWpOfniRJm4zFuiRJXS4ieoD7gG8DHwW+klK6Dbgb+LWIGKJ11v3jKaWbgb3AwYjYA3wAuB24A/iHEXHLBXbxJuCRavkh4M3V8l5gOCIaVdtXI2Ib8C+Be1JKtwIPA798Xn+vBP5Vtc83ATect7/twH7gHbSKdICPAA9VIwk+VrU9vKovkiQVpafTHZAkSS9pICIeq5YfAj4J/CVwf0R8uGrvB6aArwEfjYgdwB+klH4QEfuBB1NKswAR8Qe0it9Hz9vPeErpdLX8CLCnun59AfgmraL9zcAv0irAbwT+IiIAeqt9r3Yb8OcppePVfj8HXLdq+x+mlJrAdyLi1S/z/o8AV77MdkmSsmWxLklS95qrzpSfE60K+b0ppe+d99jvRsTXgbcDX4yIf9TGfpYjopZSaqaUliLiSeDv0/pi4HFaZ/BfB3wX+DvAl1NKD1zSO2pZWLUcL/O4fmDuMvYjSdKm5TB4SZI2l/8N/OOqaOfssPaIeC1wIKX067SuP38DrbPx74qIwWqo/LurtvN9D3jtqvWHgA8DX62WPwQ8mlJKwF8Bb4qI11X7HYqI6857vf8D/N2I2FoN4X/vRbyv08DIeW3XAU9cxHMlScqOxbokSZvLrwAN4PGI+OtqHeB9wBPVsPndwO+klL4JfBr4BvB14BMppfOHwAP8T+CuVesP0bqu/GsppeeB+aqNlNJRWmfdPxMRj9MaAv//XJOeUnoO+A/Vfv8CeAo4+Qrv63FgJSK+teoGc3dXfZMkqTjR+pJckiSVKiK20yruf2wNX3M4pTRTnVl/EPhUSunBNp7fB/w5sD+ltLxW/ZIkabPwzLokSYVLKR0Cfru6qdxa+bfVWf4ngCeBP2zz+VPARyzUJUml8sy6JEmSJEldxjPrkiRJkiR1GYt1SZIkSZK6jMW6JEmSJEldxmJdkiRJkqQuY7EuSZIkSVKXsViXJEmSJKnL/F8Dsj27R+H2wwAAAABJRU5ErkJggg==\n", 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\n", + "image/png": 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\n", 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" ] @@ -2648,10 +2590,25 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_ws8tspu6/model_6vwamrko.stan', line 17, column 24: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_ws8tspu6/model_6vwamrko.stan', line 17, column 19: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_dp9_99mb/model_xp7nfeoe.stan', line 17, column 24: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_dp9_99mb/model_xp7nfeoe.stan', line 17, column 19: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -2659,17 +2616,17 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 1.6e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.6e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Gradient evaluation took 4.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Gradient evaluation took 5.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Gradient evaluation took 4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -2746,7 +2703,7 @@ "outputs": [ { "data": { - "image/png": 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DwvkTfgHxvP9wrMnnkNSev/2Ua/JefgL4I0qps0qKu422cPSQ/PMNIFBK/QYkTP4gKkhKSUMpdQb4j464bweNa9/595RrwxpwUR1e8f24+2UwGD4GGGPdYDC8SvweJIf6gdZ6NfkB/hLwu9Sedlta65tI6OhPA7eQwk+j/G7gvpLQxz+IVC5OPGI/BtxVEgK9iLRH+ikk7LmFFBz6VfsNUmv9j4D/HsmrvB3/HuUPI17/u/GY/haS534S/GtIDuoy8JNI4aOfjp/7T5EQzXtIBen/fWTMIfCbkZv7e4hn+X9FCmrtQmt9A/E+/Y/x634L0kZsuM9rN4F/FTGqt4A3gP935PmfRLxLfzvW4WvAbzjG/v5DpJDX7z9sWyPj+K/icbwL/BJyI30Q/zGi3xfi7f00UiSKeD9+GrnJ/zzwl7XW/wy5mf6L8XFZRTyEPxK/548jxcVaiGGVhjBrrbeQ4//H4vH9MPCbR9I9jsRxtDkm/zlyvH4FeB8psPUy+mcfeMyOwO9GoliuI7nCfxQgng9/GvFSriAFu37niY14BK31PWSelZ7h7d8J/IpSqoMs5vxdZGEhiewYvQb2gI7WelsLo89txNtbe8p58M+R8/1ngP9aa/1P4sefR/u/CrwbX0f/Xvz5vwWZl5tIuP6/GV9z4YBr8j78L8A/RhZkvxwfG5JjgywK/gRybfjXkWv3QfynSLHBBnI9+buHvPZQnjL/Drs2/J/x7y2l1JcP2Pah+6WUOv+UyAyDwfAakhTtMRgMhkyglPobwG2t9X922mMxvLrEHqxHSOGof3ba4zEYTgul1EVkgc49Zo67wWAwGE4Z41k3GAyZIfasv4XceBoMu1BKfbdSqhqHoSa5z1845WEZDAaDwWAwPBPGWDcYDFliFWll9XdOeRyGV5NfjbShSsJTv19LBXWDwWAwGAyGzGHC4A0Gg8FgMBgMBoPBYHjFMJ51g8FgMBgMBoPBYDAYXjGMsW4wGAwGg8FgMBgMBsMrhvP0l7y6TExM6MXFxdMexlOxLFkTiaKD2okaXlWMdtnE6JZdjHbZxWiXTYxu2cVol02MbtnlRWn34YcfbmqtZ/Z7LtPG+uLiIj/+48dpyXo62LYNQBiGpzwSw3Ex2mUTo1t2MdplF6NdNjG6ZRejXTYxumWXF6Xde++9t3TQc5k21rOC67qAmZRZxGiXTYxu2cVol12MdtnE6JZdjHbZxOiWXU5DO2OsvwSCIDjtIRieEaNdNjG6ZRejXXYx2mUTo1t2MdplE6NbdjkN7UyBuZeAbdtp2IQhWxjtsonRLbsY7bKL0S6bGN2yi9EumxjdsstpaGc86y8BU0AiuxjtsonRLbsY7bKL0S6bGN2yi9EumxjdsstpaGeM9ZeAUuq0h2B4Rox22cToll2MdtnFaJdNjG7ZxWiXTYxu2eU0tDNh8AaDwWAwGAwGg8FgMLxiGM/6S0BrfdpDMDwjRrtsYnTLLka77GK0yyZGt+xitMsmRrfschraGWP9JWBZJoAhqxjtsonRLbsY7bKL0S6bGN2yi9EumxjdsstpaGeM9ZeA6aOYXYx22cToll2MdtnFaJdNjG7ZxWiXTYxu2eU0tDNLOy8Bx3FwHLMukkWMdtnE6JZdjHbZxWiXTYxu2cVol02MbtnlNLQzZ8pLwPf90x6C4Rkx2mUTo1t2MdplF6NdNjG6ZRejXTYxumWX09DOGOsvAdd1ARP2kkWMdtnE6JZdjHbZxWiXTYxu2cVol02MbtnlNLQzxvpLwKygZRejXTYxumUXo112MdplE6NbdjHaZROjW3YxnvXXFLOCll2MdtnE6JZdjHbZxWiXTYxu2cVol02MbtnFeNZfU8wKWnYx2mUTo1t2MdplF6NdNjG6ZRejXTYxumUX41l/TTEraNnFaJdNjG7ZxWiXXYx22cToll2MdtnE6JZdjGf9NcWsoGUXo102MbplF6NddjHaZROjW3Yx2mUTo1t2MZ711xSzgpZdjHbZxOiWXYx22cVol02MbtnFaJdNjG7ZxXjWX1OCIDjtIRieEaNdNjG6ZRejXXYx2mUTo1t2MdplE6NbdjkN7ayX/okfQ2zbxrbt0x6G4Rkw2mUTo1t2MdplF6NdNjG6ZRejXTYxur1YtIZG48WYuKehnfGsvwSiKDrtIRieEaNdNjG6ZRejXXYx2mUTo1t2MdplE6Pbi6HVsuh2xUifmnoxHvDT0M4Y6y8BpdRpD8HwjBjtsonRLbsY7bKL0S6bGN2yi9EumxjdTo7hUFGr2WgNlUrE3NyLDVM/De2MsW4wGAwGg8FgMBgMhlcerWFz0yEMwXX1CzfQTxtjrL8EtNanPQTDM2K0yyZGt+xitMsuRrtsYnTLLka7bGJ0ezYaDYteT8LcZ2YCTiPt/zS0M8b6S8CyTB2/rGK0yyZGt+xitMsuRrtsYnTLLka7bGJ0OzqDgYS5A4yNhYyPn64X/TS0M8b6S8D0UcwuRrtsYnTLLka77GK0yyZGt+xitMsmRrfD0RrW1x20hlxOMz//6oS5n4Z2xlh/CTiOHGbTVzF7GO2yidEtuxjtsovRLpsY3bKL0S6bGN32p1636fcVSkmY+/M4sZeXHRYXT/74noZ2xlh/Cfi+f9pDMDwjRrtsYnTLLka77GK0yyZGt+xitMsmRrcdej1Fs7kT5l6tPntOeLcL//SfjtHrwdmz/gsx1k9DO2OsvwRc1wVM2EsWMdplE6NbdjHaZRejXTYxumUXo102+bjrNhrmns8/fzX3Dz7I89FHOfp9m1/7a5uMjWmmpl7MsT0N7Yyx/hIwK2jZxWiXTYxu2cVol12MdtnE6JZdjHbZ5OOqW6Nh0e/vVHN/njD3ZtPii18s8vixy9mzQ77t2zpMTwe86DboxrP+mvJxX0HLMka7bGJ0yy5Gu+xitMsmRrfsYrTLJh8n3YbDnWrulcrzV3O/fj3HL/5iAdfVfP3X9/j2b2+/1BZuxrP+mvJxXUF7HTDaZROjW3Yx2mUXo102MbplF6NdNnndddMaNjcdoghc9/nD3Dc3bb7ylQKPH3ssLg747b+9QbF4Or3qjWf9NeXjtIL2umG0yyZGt+xitMsuRrtsYnTLLka7bPK66tZuW3Q6Ets+NRXgPIeVGUXwpS8VuHMnh+No3nuvz3d9V/vI7w8CnuvzD8J41l9TXvcVtNcZo102MbplF6NddjHaZROjW3Yx2mWT10m3IICtLTEnS6Xoub3od+643L/v8ehRjqtX+3zP9zSpVqMjv7/RsOj1bAqFiPHxkzeojWf9NeV1XUH7OGC0yyZGt+xitMsuRrtsYnTLLka7bPI66La9beP7Ctt+/jD3VkvxpS8VaTRsHEdz6ZLPt3/79rEK0G1v2wyHikolYn7+xRnUxrP+mvI6raB93DDaZROjW3Yx2mUXo102MbplF6NdNsmqbt2uotWSam6TkyGu++x542EIX/5ykU5Hsblp88YbQ954Y8CZM0c3/EdbwE1OhnieTrddr9svpH2b8ay/prwOK2gfV4x22cToll2MdtnFaJdNjG7ZxWiXTbKkWxTBxoaYi4XC84W5aw337nk8euTS70O5rJmcjPjmb+5RLB491D0IYHPTBTQzM0FaDT6KYH3dRSl9rO0dB+NZf03JwmQ07I/RLpsY3bKL0S67GO2yidEtuxjtskkWdGs2pSe6UjA7+3z9yzc3bW7dyjEcKjxPU61G5PMRb745ONZ2+n1FvW5j2+wKddca1tZcgkBj2+JdT7zsJ81paGeM9ZeAdZykC8MrhdEumxjdsovRLrsY7bKJ0S27GO2yyauqm+/D9raYhpVKyOzss3vRazWbtTWb1VWX8fGQUimkXFbMzgbH9s632xbttkUup5mf33mvGOkOzaZFpRJRKGi0hiBQdLsWudzJG9anoZ0x1l8CWp9OL0DD82O0yyZGt+xitMsuRrtsYnTLLka7bPKq6ZYUi3Oc5ysW12hYdLsWt27lKJUixsbCNG/8ypUBxeLxtlev2/T7ilIpesJIX1lx2NpymZ72mZwMCQKF7ysmJgJqNZcoejHH+DS0M8a6wWAwGAwGg8FgMHxM6PUUzaYke09MhM8cNt7piNd7fd1hOFTk85pLlwbU61L47b33+sfe5uamQxDA+HhItbp7XPfuebTbNlNTPjMzEgrvuprJyZD1dZdazWFuzn+usP1XDWOsvwTU63TGfMww2mUTo1t2MdplF6NdNjG6ZRejXTY5Ld20FkNYa8jlnr1YXGLo+z48fuxRLEbMzgbUauKhz+WOb6RLcTgHpWByMiCu45aO+8aNPL6vGB/3mZmJUApmZiSXfm3NpdezX4qRfhraGWP9JRBFL6YioeHFY7TLJka37GK0yy5Gu2xidMsuRrts8rJ1a7clPB1gejo4Vv/yhOFQUauJJ35ry0Zrhetq3nmnz9KSx+amw5UrffL5423X9xVbWzZKwdzc7kJ2vZ7i/n2PwcCiWg2oVjWVSkSpFKX56gCzs366T1tbFqursoBw6dLw+Dv6FE5jzhlj/SVgxz0FstpX8eOM0S6bGN2yi9EuuxjtsonRLbsY7bLJy9AtDMWLrhSUStEzFYvzfdjakm0EgaLRsNEaFheHdLsW29sO6+vOM4W6d7sWzaaF4+wuGgeyGLC+7tDpWMzNBUxPh0xPiyGvNayuOoBKjfQoguvXc4SholSS176oavCnMeeMsf4SMBfR7GK0yyZGt+xitMsuRrtsYnTLLka7bPIidavXbYZDhWU9W8u1xMgHsG1Nu20xGFgUChFvv93n5s0cjx55LCz4z2SkNxpSNK5Q2F00bjhUbG/bbGw4+L7F9LTPpUtD8nkxuhNPutaKmRkf297xorfbFouLQzwPHEenRe1eBKcx54yx/hJw48SLLPRVNOzGaJdNjG7ZxWiXXYx22cToll2MdtnkpHUbDVHfryjb09AaNjbEJLQscN2I1VUPgIsXh0SRFHb76KM8b7zRx/OOP8bNTYcwhLGxkPHxnfE1Gja9nuLxYxfPg+lpn4WF3Z729XWHKFJMT4sn/fr1HFtbDpVKyMJCwKVLIcXiy6nSfhpzzhjrLwGz8pldjHbZxOiWXYx22cVol02MbtnFaJdNTkq3pOWa6x6/5VpSbC6KSIu63b4toeRjYwHvvtvn8WOHO3c8SqXombzoYbizCDA1tVM0Th536XalH7rWijfe6DM2ttvg3thwCEMx0tfWbD7/+RIAly4NePvtwTPl3j8vxrP+mmJWPrOL0S6bGN2yi9EuuxjtsonRLbsY7bLJ8+jW70vuODxby7WtLZsgkNj4qamA7W2HjQ35Sbzm16/neP9955lD3QcD8fRb1u6ice225KnXag6uq7EszeXLQ4rF3UXbpHWbAiLu3PG4dctjasrns5/tHHssJ81r5VlXSv014DcD61rrT8SP/TjwVvySKlDXWn99/NyPAL8PCIE/orX+xy9qbC8bs/KZXYx22cToll2MdtnFaJdNjG7ZxWiXTZ5Ft81NmzBU5HLH96LXapLHDjA5GaKU5saNPJubDtPTAdeu9el2LW7ckFLub7xx/KruIMZ4u22Ry+0UjdNawtgbDSsuBqeYnAwZHw+fMNJXV202Nz20jtjedhgbi/imb+o+U9j9i+J186z/deAvAX8jeUBr/QPJ30qp/wZoxH+/C/xO4BqwCPy0UupNrfVrsVRoVj6zi9EumxjdsovRLrsY7bKJ0S27GO2yyVF163YVrZZ40ff2Hn8aSS44iAd+YkLz8KHDzZs5bFtarlkWrKw4vP9+nlzu2ULdQRYDBgNFubxTNK7XU2xu2tTrDlNTAaVShGUpxsb8XfnlrZbF48cuw6FFvW5RrYZMTIS8997gmcbyonmtPOta63+hlLq433NKOsr/DuA74oe+D/jbWusBcE8pdRv4ZuDzL2p8LxOz8pldjHbZxOiWXYx22cVol02MbtnFaJdNDtMtKfYWRVAoHM+L3mpZdDqSyJ0Ucut24fbtPFEkLdfOnROD/ObNHIOBYnY2eCYjfXScyWIA7LRds21ZYKhUfPp9i7GxgGJRp+/TWnLuWy2FbUve/Wc+03mlvOj78bp51g/js8Ca1vpW/P8Z4Asjzz+KHzsUy7JwHAfbtomiCBUnRWitsSyLMAxxHAff93Fd96m/wzDEsiy0lhNOKUUURdi2feRtBEHwxHg8z8OyLLrd7pHGs982XrV9Ou54srpP5XIZ3/eJoui12afXUae97x3V7XXZp9dRp/224bouSikGg8Frs0+vo077bcNxHBzHod1uvzb79DrqtHcblmXhuu6BumVxn15HnQ76rguCgDAMX5t9eh112rtP+XwerTXD4TDdp17PoVaLcByH2dk++Xzynvyh4+l0bDodOUaVimZiIsBxHK5fd/F9F8vy+fSnNb7v4/seH35oY9s2ly51qVRsokihlHfkfQKX1VW9a5y9nmJ52aPVshgfj3j33ZBWC3y/QLHYp1p12NqyGA4dgiDAdR2+9jWLatXi3Lk+Fy8S71PuRHSq1yW3f24uOvFzr1AopPPtJM+bwzgtY/1fA37sWd6olPoh4IcAFhcXT3JMLwzf97Ft+7SHYXgGgiAgCAKs0yg5aXhmjG7Zxfd9o1tGCYLj5VEaXg2CIEhvJA3ZIggCc83MIEEQoLVOe4dHUUSlopifD3Bdhf8U522no+h2bbS2KJfF+661ptl0eP/9HJZlc/58j4kJMdJXVnKsrOQpFm3ee68TG5LHG3O3q9jacsjnbebn+7iuYn3d4tYtD6VCzpyJuHjRZ3vbYmvLJopCHEfTbNqUSuLBv3fP4/79HJOTil/9q9uUSi6+HwDHiO8/gMFA8fixQ6PhMhjA3FwERE9933E5jftLlawYvJCNSxj8P0gKzMWPOcBj4NNa60fxYz8CoLX+C/H//xj4Ua31oWHw165d0z/+4z/+gkZ/cuTjKg39/rPlghhOD6NdNjG6ZRejXXYx2mUTo1t2MdplE98v0m4rhsMBMzPBkVqQ9XqKZlMcf4VCxNiYGKJRJCHtvi8545cuDdP33LzpMRhYTE8HT/QuPyqNhkWvZ1EoaMbHw7Tneq9nUS6HnD8vvc83NmzW1jwqlYB8Xl6bz2uiCH7hF4oMBhbnzw+4fPnkwsi1htVVh60tB9vWWJaE5M/OBvR6ikLh5G3cFzXn3nvvvS9prb9xv+dOw7P+64DriaEe81PA31JK/bdIgbk3gC+ewtheCMbbkF2MdtnE6JZdjHbZxWiXTYxu2cVolx2iSKqiA1SrATMz0VP1G23Tls/vzl/f3LRZWRGP9Gj19uEQrl8voJTmypUn26IdFelxnuS+BzQaFl/7Wh6l4MKFIeVyRKdjcetWDt+3qFYDrl3rpW3atrYsvvzlAkGg+OQnu4yPn5zh3GhYPHokofuTkwFTUyG2rbHtiNVVj40Nh4mJgELh5OfHacy5F9m67ceAzwHTSqlHwJ/VWv9VpOr7rhB4rfUHSqmfAD4EAuDffV0qwQNpCLy5qGYPo102MbplF6NddjHaZROjW3Yx2h0Pb2mJ0he+gLu+jj87S+czn2F44cIL/cyk6JtSOz3Hc7kcYO+r23AoPcqBJ9q0RRF89JEUi5uc3F0YLjHebRs+8Ynekbz1ewkC6XEOMD0dYNtw506Ofl9RKkW8+26f7W3JkX/82MVxxHDP53cM8Zs3c2xs2OTzmk9/ukcudzJG+mCguHfPIwwVpVLI1at9trdd6nUbpSAMFePjSRs6lS6MnDSnMedeaBj8iyYrYfBJ4QD/aUkohlcOo102MbplF6NddjHaZROjW3Yx2h0db2mJiZ/8SYKxMaJyGavdxmk2qf3W33riBnvSW1xrKJcjyuXd3u29uvk+bG878XOaycnd/srHjx22tx0sC956q48zYofeu+fRbotn+9y5ZzMgu10JsbdtMdKbTYuHD8VzffbskMHAQmtQCpTSRJFiYiJMDfFazWJ52aNetzh3zmduLjgRI11ruHtXFgtcV3Pp0pDhEO7dk0r2+bwU1JudlUWQhw892m0bz4u4cmXAiygX9qLm3KsWBv+xwxRuyS5Gu2xidMsuRrvsYrTLJka37GK0OzqlL3xBDPVKBYCoUiGIHz8pY73dtmi3xYt+WC66UoogkHxrpcBxnmzR1u/DzZsSzj43t9uLHkXwwQcS937u3JBLl54t1D3pxZ60iLt9O8fampiGMzMynjBUzM0FbG3Z+L6iWo1SQ/zmTQ/ftwhDzexsyNWrgxMx0ldWnHTx4sKFAVEk/eY/+CDPYKC4eHFIqRTheZpazebBA49+XzE+HjIzI8ei2bSZmDj5IO3TmHPGWDcYDAaDwWAwGAyvLe76Ov7c3K7HonIZd23tubY76kUvlSLm5w/2boehhJl7noNlaebmhuy1/ZaWPJpNC9fVT4SzN5sWS0vi8X7nnd0e9uMg+eiKsbEArRUPHnjUannOnx8yNqapVKI0131jw2F11WVyMsDzNPW6xe3bOQCqVR/bFu/28xrpo3no09M+s7MBUQSNhsP6ukM+rzl7dkixqNPUgs1NRbttUyxGTE2F5PMRvZ48lxSbex0wxvpLIMupBh93jHbZxOiWXYx22cVol02MbtnFaHd0/NlZrHY79awDWO02/uzsM22v07FotZ7uRU8MdADbhtnZAM8TCz2JpG63Le7d2wk7v3Bht6f84UOHet2hXI52ediPg+Sju4AY13fu5Lh1q0ixGHHunM+1a/10H5KWclorpqZ8XBdu35YK8GNjEfPzPr6vmJiIyOWe3SD2fbhxQyIEcjnN9HSy0KFQSrO+7uE4mnPnBoShRRgqWi3xmvf7ikol4tKlAa2WTRjCrVs5bFsThhZTUy8mp/w05pwx1l8Cpv9ldjHaZROjW3Yx2mUXo102MbplF6Pd0el85jOSsw67c9a/8zuPvI2jetGjSDzSWu8Y6KMe9ES3xAAuFPY3wq9fl5ZsCws+5849m5Eu+ejiye/1VOy9znHlypB33+08sX+jYfC9nsXNm2JMX7o0pNdTaYu4Z/WkSx667PdgYDE/P8S2JVe/Wg1ZXnap1Ry01szPy2pGr2fheVCv21iWZmwsoFJRRBH88i8XCUPJpz971mdsLKRSidL9OGlOY84ZY/0lEIavRxjGxxGjXTYxumUXo112MdplE6NbdjHaHZ3hhQvUfutvlWrwa2v4s7PUvvM7j5SvnnjRQQzv/ey1xEAHMRz3GugJtZrF6mqSj917orVatwt37oiBPNqS7bg0GlK1vV636PVsul0x+r/lWzpPjCsMYWPDTfPj79/3+PDDPKVSxLVrfba27DgH/NnD3VdWbLa2XFoti7m5gJmZgFJJiu9tb9u0WhYffphnaiqgWt197BwHtrZsCoWIzU0nzrUXEd5+u8/MTMhgALdu5el0LDY2pG3di+A05pwx1l8CTpxUYlprZA+jXTYxumUXo112MdplE6NbdjHaHY/hhQtHLiantRjfUQTF4v5e9NHXHBYOH0Vw/Xo+7lse8alPicHX7+8Y6uvrDmtrDrmcfuZQd4ClJZdWy8b3xSM9NRXyxht9xsaeLELn+7C15WJZmkrF5+7dPOvrDhcuSNG6zU17JF/9+EZqvW6zvOywtSV9z6enA958M8TzNN2uLCTcvJlDKRlLUsHddTWVSsiXvlSk31eAYnIyYHvbYWJCPOezswGtlrSQW1tzcRzNO+/02dx0qNVsPvoox9d93bMfx4M4jTlnjPWXgGmpkV2MdtnE6JZdjHbZxWiXTYxu2cVod/IkbcxAjO+97b9GQ+Gflq+eGOAgLdc8SUvH93c2moTCT08Hz2ykr6/bbGy49PuKXC5Ke7rPzATEncZ2MRwqtrdtHEeM5HrdIZez0s/f3HRYXRVD33WPZ6Q3mxbLyy5raw6ViuS3v/POIO6FDsvLLo2GTRhqGg2HmZmAycmQYjFia8um3RYDfzCwuHatR6Gg03SCUimi27VoNi02NvKUSiHz8wHDoaLbtfj5ny9w9670ob98efBMx/JpnMacM8b6SyDpyWfClbKH0S6bGN2yi9EuuxjtsonRLbsY7U6OzU2bIJA2Znu96Hs96NPTTxrxCUEAH30kseuTk/sb4Eq5fPSRR78/5NKl4RN92J9GEMDWlkOvZ9FoSJG7QkGTz0dMTIRP9GlP6PUUjYaN1jotenf27JBz58QAlSrxMDW1v5F/EN2uxaNHUjW+WNTMzfl827ft5MM/fuxQqzm0Whb5fITrKqJI8dZbA5pNi/V1J00zGBuL+OZv7mLbkn4wGChyOU2vZ7Gx4VCtBjiOZmYmoNuFL36xwNaWQ7drMTYWcPHikKmpkBdVB+405pwx1l8CZuUzuxjtsonRLbsY7bKL0S6bGN2yi9Hu+RgMFLWaWN3iRd6x8LQWD3Nik+3nZR8lqdhuWeyqrD5KvW7x8KGH51m8/XYHrY9u8HU60pIMxHsdhlIx3XE0U1Mh1WpIPr+/hSreaJvtbQutFa6r0zEmkQJRJIsQR20HNxgo7t3z2NpycBxZ4PjWb90x0NfWbFZWxIs+NRUwGEg7umIxIgwVpZJmY8Mhnw9RSnqnz80FbG46rK25eJ7G8zTDoSIIJIF9airg0SOPRkP6ru+0dPOZnAzZ2rLThYqkON1JYzzrrylm5TO7GO2yidEtuxjtsovRLpsY3bKL0e7ZqNVsBgOF5+32ou810J9mvPb7UtQMOLRie2LIj41J1fd8Pg+49PsH66a1FFULQzFUC4WIfl88466rKRQiikVpd7ZfITuQlnD1usXjxx7lcsTcnM/0dJhuX9qzPX0hImE4lP3t9SyGQ6m+fuVKN13k2NqyuXUrR70uvc9nZwPGxnzabYvxcemb7vsWExNJ6kCEbcPk5IDlZY9azYmL2EV0OjaDgSYIJPd+e9uOf1vk85LX/s47AxYXffp9K/6/j23LOBoNi5mZk58XxrP+mmJWPrOL0S6bGN2yi9EuuxjtsonRLbsY7Y6OFFMTs2diImRiQgzM4xroAPfuebTb1lOLwd28mWMweLL12kG6+b7kkoOE209OBgSB4u5djzB08DwJ/y6Xo0ND55tNi6Ulj37folSK+KZv6j7RQx0Ormw/ynCouHUrRxBAu21z6dKAc+cixsaieFs2X/lKkSBQlEohly8P+cQn+rTbirU1j2ZTUalIUbjx8ZAgULTbNsMhtFqyr5VKSKkU0u3aLC15KAWWRZyb7sT/R/i+xTd8Q59qNSSKFMViRKUS4bqahw8d/uW/LNHvK8bHI86dezHV4I1n/TXFrHxmF6NdNjG6ZRejXXYx2mUTo1t2Mdo9HWnzpXAcUi96koN+HAO93ba4d08qxJ07J9XS92PU235Q67VR3ZpNi15P8s4dR1qnAaysOHz0kRRLm5qS8T3NA769bfO1r+UpFjXnzg3TbSX7fFQjvdNRPHiQI4okhP7s2SGOA9PTfbpdxfvvF2i1LPp9i2o15Fu/tU2ppKnXbR488HjwIMfkZMCZMz5TU+L5bzRs7t3LMRxKK7ZcLsLzNLWazcqKQ6kUEgQSCTAcSq66bUtOfbEIs7N+6sEvFCIcR/PRRwU2NmyiSPbpzTcHNJt2HGlwQLjBc2I8668pZuUzuxjtsonRLbsY7bKL0S6bGN2yi9Fuf5K+4aAZGwsZH9fPZKCDVGsfDCwKhehQL/rmpuRoP83brjUsL2uiCMJQKqYnRnUYwgcf5IgiheNEzMwE5POaavVww/DWLY+VFZdSKeLX/JrOrv2KIlhfl2MxN3dwyHyrZbGy4uL7CtBpqPrUVBL+nkPrHP2+xZtv9nnnnZCxsYj1dYelJY9GQ9rOnT075Ou+rgdIIbzr13MMhxZBoKhUAqLIivu2u4yNhXQ6YmxvbeXwvIhyWXPp0iD+O2IwkKJ/tq0ZDCyWlly2t+WzLl8eMDER0O9b6bG9dq2f7s+LwHjWX1PMymd2MdplE6NbdjHaZRejXTYxumUXo91uWi0pwmZZMDcnRtXmpkOzKc8f1UCv1SwePRIv+pUrQ4rFg0POl5Y8mk2LavXg1muDgaJe33GJnz0rXuN+X4z0rS2b5WWXKFJMTfm4roTqe97BJc21hi98ochgYHHx4mBXcTcQw3993UUpqc6+n5G+vW2zvW0zGFgUiyG5XMRwaJPLaba3pV95uRwRhnD16gDXhbGxkPV1Jz0+lqUZH4+4dKlLoaDpdCxWV6W3eqtl4boR9bpNFCk2Niz6fZswlJzzVmunINx77/VxXdBavO2lUkSzaZPLRXzta/m4Z3zA+fNSTC4MFf2+xcKCz+TkkK0tKZK3sSECT06+mD7oxrP+mhIEL+aEMbx4jHbZxOiWXYx22cVol02MbtnFaDfa91xRLocjFcXFxDmqgR5FkmMehoqxsfBQ73gUSXu2MFScOzfgwoUnjfkkvB3A8/QTIemdjuL+fY9ORwzamRlpSZYUgDuI7W2LX/mVAgDf9E0dSqXdzydRBUpp5ud3G+lJfn6rJWPzPPFcKyW91qMIcjnNcGhRKoVp8TrXlVZvSU793FxAsSg55NVqQKcj1eZrNVhddXn82KNQCGk2bWw7YmtLIgiKRc3FiwMqlYgokrz0cjnC8yLW1z1WVxXFosa2I37lVwrk8xGlkubdd/vUak58XG0uX+7TbktxvDBUbGw4TE1JikCzKeH5Kytu2pLuJDmNOWeM9ZeAHSeYmItq9jDaZROjW3Yx2mUXo102Mbpll4+zdknPcJBc7u1th3bbot22jtWCbH19x7B/660+nnfwa9tti7t3cwC8+25v12ckYfZJf+9KJdxloCeIpz9PFClgEFdMjw713oMsJCwvO5TLms99rvPE81JAz8WydnvSw1A+s9dTLC+7VCqSK6615JEXi1IoLjHOh0NZYOh2VVqQr1iMuHBhSC4nRnvSQs51NY2Gzdqaw4MHUnQvDCMaDQfXdZib85mcjPie76nTaNh0OuINL5cjKpWQe/dyPHrkxTnoEa2WTa+nqVQU1671aLWc9LgnCwdaQ6vlMD0tYfq+r9jctLl+PU+9bpHLRfT7NoVC+EKM9dOYc8ZYfwlE0eET0PDqYrTLJka37GK0yy5Gu2xidMsuH0fttrdthkNFLqex7cST7BzLQA8CuHFDirdNTh4cvp6wsuKwseGSz4dpPjZIeHujYaO1VG9PDMi9dDpSOG1ryyGfF0M1l4OJieGBOeQA3S589FGRTkdx4cJwXyN9OFRsbzvYtk57iw8G4gFfW3PodGzGx0PyecmN7/ctWi2LQkGzuOhTrUb0eorhULG05KWLFRMTIZcu9VMD+cEDNw5bD2i3Fb4v+/TRR3nW1myq1YhSKWJhQfM7fscWritadTqK27el4Fw+rxkOJY8dwPNCQNPvKyYm4MKFIYOBRRRJpfiZGTGIk2OrlEQ13L7tsbmZj19nMT4e4vuyqNBs2lSrIVNTL8aYPo05Z4z1l4A6bCYaXmmMdtnE6JZdjHbZxWiXTYxu2eXjol3Sdk1riCKFbWuGQ8X09NH6gyc8fiz9zpWCd97pP7Vt2e3bHt2uzcyMnxrpjYbFYLAT3j47u79RmISj93oSqu37FjMzEj4+MyOvGR7QXezhQ4eVFY8whHff7TM+/qSB2O9LHrzripG+tWXx4Yf5uMWaxcRExJkzPu12RLdrsb7uMDMTMDMTMDYmLdS2tmy++tU8xWKE58Hly8Ndn1Wr2Tx+7DIcige7VNJ8+GGemzc9NjddcrmIixd9vu/76szOyvvabYvNTclZ97yIKJLWbQ8euIShtH/L5TSWBdVqhFI6zekvl0NmZgIsSzM1FaKUhLVvbzusr+dRSs6FiYkA141YWpL+8d2uFAD0PJifHxBFHOu8OA6nMeeMsW4wGAwGg8FgMBheKZpNK/ZKO2l18tlZ/1iG2GgrtYUFP60WfhBRBB98kEdrxcWLA8rlIZubDuvrYjJVKiHj4wd7bet1m8FA0WzaeF4UV0GPmJoaEtcm25fE258Uq7t2rU+p9KSRnoT/Jx7orS3Jzw5DUs/59LSkBdy4kWd+3md6OuDNN8WLffeux/XrOfJ5zcREyKc/3UsL2SWh/L4P16/n47xyzfq65Ks/fOiRz0d88pM9ft/vq5HLyfuGQ8XqqhwjKVYXMTYWMhwqajWL69dzlEohhQJcvDig17NptWyaTYezZ4fMzGgmJ/v0+4pWy8b3FR9+KJqVSiHFYkihENHpWLRaThoef+HCgGbTIZeLCENFGML2tsOtW1Ks77f9tuahWmcFY6y/BLQ+uJqj4dXGaJdNjG7ZxWiXXYx22cToll1eR+20Jq0mXipJLvdbbz3dC76XpEp7Lqe5du3p7282Le7fz6GU5sqVAa2WTb8vXvSDwtsTEi93FInhOhxa5PPSeiypdr57H3d0W1tz2Nx0aDRsLl4ccOVKSD6v97weHj1yaTRshkPI5aBcDrEsxfh4QLMpXvNazabTsSgWJergnXckjP3993PcuJHDtuH8+SGf/WwnDb/3fcXamkOzafHwoUuzadNqSd93y4Jez8K2NefPB3zv926mnvcogocPXVZXXXwfxselSJ5SEjL/0UdFcjnN7KzPlSsD6nWJjOh2bc6e9alW+2xv7xSJu3Mnh9aasbEI15X+6u22Ra3msL7uUi6HFAqaT36yy4MHOep1m40NaXPneRLJsLTk0e0qzpzxuXZtcLQT5ZicxpwzxvpLwDruFcbwymC0yyZGt+xitMsuRrtsYnTLLq+Tdu22io1lmJoKePfd/Q1sb2mJ0he+gLu+jj87S+czn2F44UK8DYulJUm6PnNmuG+V9r0k+ehhKDncEmpt7VscbpSksnoYEvduV9RqNlNTIXNzQwqFw4w6i+vXPXo9MfBnZwPefLOfet59XzzESkm++8qK5OTPzgYMBtDp2LTbkj/u+yody8REyFtvDQhD+OpXC9y6Jbnh77zT45Of3DFeOx2LzU07XQBQSnPnTo5KJWRiIqJSkR/LgnPnfC5fHqTF3G7cyNHtSiG/mZmAt9/ux4a+x82bRWwbJid9ZmYkRcH3LQqFgDNn+gSBSo3zlRUX19VpTvy5c0M6HQnXD0PJoS8UIqanJXT/7l2Pn//5EkoVmZ/3GR+PyOUUnhdy61Yez9N86lO9OESeQ6MfnofTmHMqy6ty165d0z/+4z9+2sN4Kk5c8eLjWK0z6xjtsonRLbsY7bKL0S6bGN2yS9a1C0O4dStHEIhhdvny4QXXvKUlJn7yJwnGxojKZax2G6fZ5Ivf8G/QnDhLoRBx9eoBieB7uHnTY2XFY2pKjEEpwvZ0m6jdttJq6JalaTalb3i1uuNZPohazWJ52UNr6S9u22KA93pS9C3BcXScAuBQLIZoDf2+PD8xEcQ54GKIl0oRFy8OaTYVd+5IGL3jSLuziYmdxYr1dZsbN6RfuVKSex8EiihSOE7Eu+92aTZdXBcKhYj5+YDx8YCtLSc1zlstm/Pnh2kP9EePHJpNG98XL7znaUolTRRpLlzwKRR0Wh1/bExauSXk8xFjYxGPHrnp40GgmJnxCUMFaD78sMDmpnjf5+aGfMu3dLl/3yOKFGtrFoOBVLNfXPSpVGRfkyJ0y8sun/70TjHAk+JFzbn33nvvS1rrb9z3M0/0kwz7kvWL6ccZo102MbplF6NddjHaZROjW3bJonZhKL24azUby9JcvTpMc6afRukLXxBDvVJhu1tgqXkGq9vh8r2fI/zW3/rU93e7il/8xVLqyf3sZ9tHCq8PAtjcdAFNsSg9wre3HcrlkNnZIDUUD+LuXY9ez8JxIqamAnzfpViE4TBgfd2hUIiYnQ3Y2BDjt90WD7TnaXo9i4UFn3w+YGXFoVaTFnXvvNNnbc1he9vh536uRD4vix1TUxJ23+lYfP7zJYJAWrRZlhRyKxaltdrERMDiYoDvSzG2IHA4d85nMJAc+25XxWHmUCxqFhYCbFtz/75Ho2ERhgqtNVFkpeHu5875WNaOIV6rSeV+kMJys7PyeUkNAYAokqr+w6Gi31e8/34B35dCbm+/3ePTn45YX3fRWsLcazWL4dDC86R9XqdjEQTS2s73AaTv+htvnLyhDqcz54yx/hLw/ZPv82d4ORjtsonRLbsY7bKL0S6bGN2yS1a0S8K6Wy0L31fMzAR84hPHH7u9us5X1dfhNx2q+R6fOrMMWuOurbF+wHvqdZvtbZuHD108Tx/ZQAephj4YKBwHKhUxpjc3c0xNSfj3YYXuul24dy8ft3WTxQjLEs/v/HyPfF7j+yEbGw69nsXNm3nCULzqpVLE+fNDwlAK1a2suOTz4u1eWXEZDCy++MUiY2PSG/3tt/vxfjp8+GGewUDFFehBa4XnRdg2vPnmMM3pBkUYarRWgGJyMiCXi3Bdyb+3LBgbi1hettnacnj82GVhYciDB5JmMD/vc+ZMwNycn1Zu73ZV3CvdotezqFZDJiY0a2tSfG5pyWU4VIyNSbu4ZtNmbCxMx1IqhczM+AyHFlGk6PdtHAeq1SE3bxbp9RSXL/d48CAPaG7elMWE8fGIzU0H0AwGVuydfzHh6qcx54yx/hJw4ySUMHyyyITh1cZol02MbtnFaJddjHbZxOiWXV5l7Xxfen1rLQZztRqyuCity47L5qYYrJXw67lWvoc3UUifs9pt/NnZ9P8oIg2d3tx06PcV4+Mh3/ZtT/Yo34+k2jpIr3GwWFtzsCyLmZmQixcP99g+eOBw/34Oz9NUqyFhqDh3zmdsTPZbWquV2NhQNJs+vZ6i1XJYXBywsBDi++JhXlryyOc1uVwISLG7GzdkoSCXk6r0rqt59Mjj5s0coGm3LXzfwvM0QaB4550e5bJOP2NzU0L2JydDwhBcV/HOO/10IaXTkX7t6+sO9bpNrWYxMRFSr9sUChHNpsN3f3eTuTk538KQXZXyCwXp5d7rKe7eTcYlxzEJ848i8bTn85rJySHFYhSPSwrzOY68fmIi5MaNHO+/n2dz02FyMiSX06yu5hgbC/B9KT4XRXIMPvWpDoWC9JgfDKx4EeDkOY05Z4z1l0BWVj4NT2K0yyZGt+xitMsuRrtsYnTLLq+adoOBGLpSRGzHk/zmm4NjV3OPIvjoI2kfNjkZ8N57fbyx85R/8ksEzu6c9eVf+11srEpBtqQ3d68nVdwXFp4erpy0LNNajMjZWQk5v3Ejz9hYyKVLw7RN2V6GQ8XGhs3du2KYzsz4vPHGIC6UJwa17+/0eLdtTaUSsLbm4HkW584NsSwf35fwbaU0/b4Y3VGk6fdVvA3F2FhIvy/5446jqdXsOIxejPpqVXPpUhel5JjduCE90T1PjOjFxQDPE++9UppWS3qzD4eKx4+lJZrk30vu/dxcQLkc8ZnPdJmZEeN0e9tmbU3MR9uW4njtthSYazZVulhQKISpod9oSK77cKgolSSNoNmUHPjHj13Onh1SLmuq1YDr1/P8zM9UaDQsSqWQsTHNJz/Zo92WHPtWy6ZSCel2FVNTIVEknve7dwtoralUpGp8tXq88+2onMacMwXmXgL5vORm9PuH93Y0vHoY7bKJ0S27GO2yi9EumxjdssuroF0SzgySY62UtDLL58WzfFxWVpw4pBneeaePs8etmFSDbz9o06ou0PuGb8C6eoZKJeSDD+R4XLgwTD3Zh9FoWGnBtZkZ6VH++LH0Cp+dleJve+l2rbS12fa2xdaWy8REyKVLg7iyOnFutuLOHS8u4KZTT+/2tkOp5FGphPj+AK1JDfWk0F6yaBAEiuFQjP5u16LZtFlbkx7rhUKE52neeGNAoaBxXQmfv3vXY3XVodl0uHRpwNWrwzgf3CIIRJ+VFZf79z06HRvH0fH4AopFTbkcoRScOeMzMSGe/nZ7Z6XFdXVsNMuxq9etOHRfPn9tTfZjcjJgZiZEKU0UyTY8T7O5KZXs5+d9HEeT5Jhvbys+/LCI50VpZXz5idjaEoN+e9um07FpNKw0XD7x5k9NhYyNhfR6VhydYHHx4tGKDR6HFzXnDiswZ4z1l4AdJ7W8imFKhsMx2mUTo1t2MdplF6NdNjG6ZZfT0i7JTVYKcjnxZiah0NXq0aqqjzIcwo0bYgTNzgb7tk2LIvF+J4yNiQe13ba4d0/yqPcz7vcyGp4/NhalYdirqy65nGZhwadc3jH0m00rrcSutYR6r666DAZikI6PR7TbNq4rRvbamoRJO47m/Pkhzaa0Z2s0EiPWx3VtlIq4fl36ghcKOjZe5dhGkUq90hsbNuvrLp4XUSpJK7PFRfF8O44YzrWaTRAoHj704lzyITMzkg/f6YjB/8u/XKLTUViWolgMWVjwCQIVh+tH5PMh5bIGxIAGWYjRWrzhvi+57LlcRL0u512hIB76et2O+6NrLlwYxuH4iu1th2o1jL3o0rM+lwvJ52FjI0mRcNjakvD8q1cHFIsSoZHLRVSrEUtLHratGQ4tKpWA3NY6C/e/zHhnjdlLDs1v+Gbas+cBSbcoFkNyOZiePrwy/7PyouacMdZPmVdh5dPwbBjtsonRLbsY7bKL0S6bGN2yy8vUrtOxUg9rPh8xPh7F3l4Ly+Kpbcv24+FDl3rdxrbh7bef7Kve7+/kjyslBljymvV1h7U158jt2jY3xaB1HM30dEgQyOe32w7j4wFnz0ol83pdisol/b8rlZBiUae9xAEuXerT79u0WnZqXIO0VZudDdLIAK01m5seSul47BG/8AslPM+jWNRcvdqkWBTjX8YW0etZLC3JuMrlkOnpkDNnhuTzUhk+n4/ScVqWtEbrdGxcV/PmmwNAc+NGjvv3Pba2nNQgf+ONHp6n2NqSdmfVasSFC9LbfHvbxvOkOJvj6DhXX4z1fF6ztWVTq9lUq2K0O06EisWWWgQ+m5tO6m2fmAio1aSwn9QPUMzOBpTLIY2GTbNpcft2jlxOMzUlx75cDgkCC9+HZtMmn9fUahazs2Ea9VDZfsyVn/+79IoTRKUSVqdDsVtj7bu+l+GZM0xMhAemK5wUxrN+TLJirJtV6+xitMsmRrfsYrTLLka7bGJ0yy4vWrvRnuLFYpS2KNvasvF9CdkeHz9ewbhuF+7cEYNncXHI1NTu9zca4slWirRI2yj37nm02xaTkwFnzhyej56ErGu9kz8u+dUuUaRYXPSJIunvDbIgMD6+2+BbWpLPKxalQvv16/nY0y4RBTMzIePjO5EFIHnsjYbDcCie+Hv3PMJQUSqFfO5zHXzfYWnJw/cjfF+O8/Kyl4aPX7nSp1KRsSZedq1lnLatCUNZPBkObRwnYnJSPl+KsdlMTEhLuYUFn2ZTWr1VKvLY5ctD7t71WF52cRzxqk9OBnEovfRPr9dlIcLzonQBZmwsTBcF5uakYF7SOk5r6Tm/vW2xseHSaEgV97Nnh8zMBHQ6UqRvc9MhimQB5FOf6rGx4dLtWmlofbkcYtsSam9ZcuwcR9Pr2RLF8FM/RcWvUZzyWG1V0ChKgxrjU4raD/wAUQS3b8txDALF133dyS9inYZn3RSYewm8ytU6DYdjtMsmRrfsYrTLLka7bGJ0yy4vQrukOBtAuRylIem+D6urYjZMToZH7o2ecPeuR6djkctFvPfejhE1WtwNxCgcH99thEcRXL8urc3Onh1y6dLBCwRRRGo4F4s7419ZcdjYcBgOFfPzAa6rGQ7FOI4PY0oSlm9ZUCqFVKsBKysejx55XL7cp1yWHPT1dYfBQLG87GJZmrU1l3bbYjiU8PEo0szPR3zXd7Wp18WjfP16niDIsbTk0GxK3vnVqwM+85kugwFxgTYpznfmjI/vW/R6yWKC5tEjMXAnJ0OiSPP++3kaDZtcTvLXP/GJkLU1lzBUtNs2584N0FoiIJaXXZaX3bjHfCcO23fY2pLjNRhInrjW4vEGiW6YmgopFCLOn/d58MBjaclje9tma8um27XjQoLikX/77QGFQkSnY7G15bC87LK9Lf3WZ2d9PE8qwm9suJTLEfm8xvOkbVu3azM2FlCryXgcR9qyXbggRd28+gqN6hmaLZirtIm04npngeUPamx/mKfTUWk6wWgqw0liqsG/prxq1ToNR8dol02MbtnFaJddjHbZxOiWXU5KuyT0G8TrOZozLi29pKXW/PzTK6uP0mxaLC1J6PiFC0MuXxYDajBQad4zSAj9ftXi+324ebOAUpq33urjeU/fh6SKeVLo7gtfKDIcKqamAubnA6amggP7o6+tOTx44DEcwuXLw7R3eT6veeONPmNjUdwXXfHoUY4oUliW7M/KipNGAVy8OCCf1ziOjOHmzRwrK5J7HkWKajXiG76hQ7OZ9DkHz4uYnxevflL4bm3NwfelpVm9LhEHk5NBnIMux+XKlQEXL0Kt5rC9LcXXLlwYEoYSnbC2JgXwFhakov76us3GhsuHH9px9XyNbYtne2YmZDCwKBbFw10uR3hexM/+bIm1NY9OR9rgRZHF+HjAO+/0mZiI4lzxiH5fxjwcKoJAs70tx7JSCXn7bamoPxyqtKaBtKGLWF72aDbF6G+1bN59d6eH/XAox7bbtSjnLrC+lCcqFrixPoNCczn3iO2JSbSG2VnJVz9u54HjYKrBH5OshMGbfLDsYrTLJka37GK0yy5Gu2xidMsuz6Pd1padhn+Pj+8uCpf0KA9DCU0+rpfy5k2PwcCiVIq4fFnyyUc99p63kxe9H7WaxaNHHq6refvtwYGvGwykuFqyD66r2dqS3OnlZRfXhffe6x06/m5X8ZWvFIgixeSkhIqLJ9iiWg04d85nfV0M7V5PkcvpOFQ7pNFw6fUsoiji4sUhnY7D1FRAFEG7rfjKV0o0mxaFgubSpT7j45LrncvJvi0utlKvfr1u8fixGxd0C2m3pbe6tG8T73oUKbpdaUkHUll+OFTMzfmMj2vy+YiJiSAtPKcUcQ74jm92fNyn35eK8iAt3kBa7TUaDvl8xNKSw6NHuXiRRhYqpqclXN5xZDytlhz3Tkcqw7uuRDVIfrtDqSQGehhKpfgkr//q1T7drs39+x6tlkUQyGJNsShGPcj5J73fpUhdpRJRKERMtR/yjb/0N4mqY2xaswwbA3KdBt7v+k66Zy5w82YercXALxSiQ8+dZ8XkrB+TrBjrSciEWb3OHka7bGJ0yy5Gu+xitMsmRrfschztEgM8iu3WyUkxbkfxfSlABorpaf+pldVH2dqSvGuAK1eGFApR+nlKQbkshdoO4+FD6UU+NibFzw7aj40N2a5lyf9KiaG4uupgWYpKJeDCBX9fD2sQyHHodMSgT4qvDYc2GxtO3HJOQrGHQ0WnI8b2zIxPpyPe7U5HjOh8XuO64oEul0MePXL4yldKDAaKYjHirbcGlMtRPEbNhQtSad51JVz+8WNNt7uTcuD7MBxacaE28ah7XkSnY2NZIVtbbmrcz876nDvnpzUDpqYCWi2LlRXJGS+XpRDd+HhAPh+xsiLaJKH//b7NcAiNhp2Gw/f7kj9+7tyQxUWfYlHy47tdi7GxiJUVh1ZLKsInCy/5vOSyf/CB9DmfmQm4eHFIGKo4iiBMve5BIAsCnhdRrUol/enpnfNwaclhaUn61U9MhE+cB8Ohov3+KrkvfRlro8ZwcorbC7+a7tQCti1F/BJ9CoWIr//6k1+AfFHXS2OsnzK5nJx4g8HJr/AYXixGu2xidMsuRrvsYrTLJka37PI07fbmg09NBfsa4M2mRbdrpZXSj8poLnm1GjI/L15pEAP6sJDzUW7ezNHvWywuDg/8/GbTotGwaTSk2FhSiKxQiLh/3yMMLc6cGT7hsd+7SLGyIvnliXe/11OsrbmUStJ6zPcVYaiZnIywbU29vnP8wlDSAnI56Sl+9uyQL3+5yPXr+bSV26c+1UNrFRdvC9NjkFSIb7ctgiBPqRQBg9ijLUXdxscD1tddfF8xGEC/L2Ht+bymWIy4cmXI7GyQFt5L8uRXV2XxoVSKWFyU4m/Xr+fodqW43vh4yPR0wN27OTwvwvfFcN7ednAcTaUScenSgHJZ025LrnsQSJX5IBAtGw0b25Y+7J2OwvctVldtGg2H2dmAb/iGLrZNvHgg/dwT7YNA/m42xejP5eTYP34s+fJJSsTCgs8bb+xepIkiOT82NqTHum2L0V4uS8j+2FhAEFj0++K5L5WiNHz/rbdOvs/6i7peGmP9lPG8ZDXr5E8aw4vFaJdNjG7ZxWiXXYx22cToll320y4MdwxDODgfHMSQD8PEM3z0UPekbRpIRfcgsNK+35OTRzP2gwA+/LAAJP21n/z8Tkdx714OpaRY3Ph4mG4/GUMuF3Hpkr8rSqBWk4JmCWNjAbdv5+PHNPm8hIc7jkQTzM/7cbswqX6etJPTWoy/et2i2ZRFgnI54vZtlw8+KMa9wYdcu9aPowcibFta2yWGMkCvZ6XeaK1hYsJhaclB6yFBoGi3LZpNB9/XBIEUg3Nd8RSfPx+k1deVksUCgHv3XHzfSj3Kvm9Rr0u/coCFhSGlkhjz6+s29bpDqRTF3nMJl19YkMUV3xdvdD4fUSxqyuUQcRwr+n0r3Wa/Lwsb/b5mYkJ60p85E2Dbmu1tm2pVct2T82Bz00lb2xUKckx6PYsgUDx+LC3zJielmF0SHVGr2TSbNu22io+hYmwsZGIijM9jjWUpokheXypFNJsWd+7k0lQOy4JLlwa8887JL0C+qOulqQZvMBgMBoPBYDC8hvg+aUVvy4LZ2YN7nkuou7x2asp/ohL6QQSBVEgPQ7BtnRahy+ehVDp64blm0+L+/RxKaT7xid6uhYSkr3qtJvn0xWLEJz6xE8ocBHD7do5eTwrGJVXlWy2LrS073edqNWRiQiqnX7+eYzCwOH9+SLUapYZ0sajp9xWVShiHtyt8X4zdyckQx9Hcvp2j31d0u1Lx/YtfLDI2FnLhgs/v/J311MDsdi0qFQl3TwzbYjFie1taoCULEe22TauluHUrx+xsyNaWTb3uYtsh7bbkgS8s+HzmM13On/dRSvLyh0PF9et5ul3xdg8GYsC6rniZb97MMzYmVet7PYv1dZdGo0AYEldaj3jnnT6TkwHdrkW7bdPpWKyvO5w968eh/yHdruLxY4/Hjx1cV+N5sL4uxrzrRmhtcfnygLk5qVI/GFgoJb3e5+YCokjh+4rNTZsbN3I0GhaWpdJUgEpFQt7zec13fEeLRkM866OLS1EkofuVikUYhtTrdhxFIEX4ajWbu3c9gkDa0VmWRHB87/c2Di1AmGWMZ/0lYELMsovRLpsY3bKL0S67GO2yidEtmwwGim63CEAY9p8avi5V3e041P3oxvXjxw7r6w7tts0bbwywLJiYeLLd2dNYW3NYW3MpFkOuXhWvZK+naDbt9O/h0GJsLEx7oifU6xYPH3rYNly8OEz3J6FcjigWI7a2HHyf2FC0mZ4OuHZtQKkUsrQkYeFKSZuwXs/C9xW2LcdycdHHtmVB4ObNHHfu5NLPmZ4OuXatx5kzAf2+otOxKZelcrtlkYblNxpSGA+kR3gYQrNpxxEMivn5IbYN3W6ex49t7t2zsG1pV/fmmz2KRWIDWIzWMJRw+k5HPOgSOi8LLtWqLCiUShG9nrRCA+nFPj8fIPadJgylkjxIwbmZGZ/5+SDNdW80LB48cFla8sjnNUEgiyZJQbhCQbztjYbFxIS8p1qV3vKFgmiklLR7++CDPO22hLqPj0e88cYA29bUajYPH7px7/Sd90xP+0xPy2LJnTsuW1tO3C5PMz4e0mwq7t/36PdlISaXi1hYCPj0pzvEdd4IAqmEr7WcQ+22nE/5vKQNnDQmDP6YZMVYd12XWs2m2w3Q+ulVMA2vDqbwTjYxumUXo112MdplE6Nbduh2d4xbz9PMzYnBeph2m5sOQXC8UPfhEL761SK9nmJ6OmBuLmByMjzQW38YS0sezaa0HJuYCNMq4sk+JC3jCoUoNSBBQtCXljxaLRvPkxD45PMLBQk373R2DPbtbZvVVQel4O23+8zNhaytyUJDs2kzNyeh7o4jn5nLaWZng9hjG/KzP1vh0SM37Ss+P+9z4cKQ4dBKFyaSMPhKJUrHePeuy+qqRxiKoZ3PR0QRPHrkUS7LdsJQCtXdvJmj2bSwbdmnK1d6XL4s2iklldpdV3Zyedmh0ZB2ZolR7rpQqQQMBtLDfDBQ2Lbk7S8sBDx+7NLtqrQdnG1LOPqFC0OKRTHE63Vp3Zb0ne/1JB0gSQmYnfU5c2bI1pbYLnNzAZWK5OdXqzv6JFEOW1sOtZrk8b/3Xo+JiYg7d3JsborOuZzkxJ8/LznxCevrNr/8ywX6fUkRcBypF9Bsiidfa/GY/6pf1aVcjna1+ksYDCSFQKIlJCoiiuSxajXgE584+QVIU2DumGTFWN9b5j/pLzl60RsflxU6w6uFaWmTTYxu2cVol12MdtnE6PZq025bqVGaz+82aA/SbjQsfmrq6F7w99/PpUXH3ntP+oo/K9ev52i3JVQ5MfKS8dfrNv2+eHr3huz3eorbt3PUag7z80PGxyMsa6cfeUKxKIXK3n8/R6djMzYW8slP9ul2Le7dc9nacikUwjSXvtMRD3m1GhIEErp+61aOe/c82m3F+fND8nni8G9NoaBxXc358+INT8bYalnUalIQrtu1KJUCZmbEi97vK8bGxKMdRXD/fo6VFYdGQ/K0x8elkNu778L0dITndanVpPjdw4ceSuk0171QCDl3TsLWxbMun+04Mq6xsYhGQ9q9OY4ct3xe0hPEKSjFBJPQ/KUlL62Yn+SQJ8dxZibkwoUBDx543LmTw3Ek5/uttwYj/c7h1i0534JAsbVlYVkSWVCtSq/2VssiiuDChSELCzu1EpIif8vLDktLLrWaE0cHSERCv29TLgdUKpqLFwe7vO8gmohuiuVlJy2At75uk8+Lx71U0jiOxrLk2Lwox6hp3XZMsmKs2/GZHoYHnzT1up2uLsp7NFNTz7aKaTg5jqKd4dXD6JZdjHbZxWiXTYxurx6Nhv1Edev92Ktdu23Rbls4DkcKdQ9DePDA4cGDHJYFb74pHulnpdlUfPnLJQCuXOkzNibhzPBkT/TEIEvGcf16ns1NB9eNYi98lN4DJx5ipcSju7bmcPt2DtuGa9d65HKarS2bGzckDNt1dWqoVqshYShh48vLkiO9sWEThgrXleJz4+MRpVLI2bM+CwvBrkWKXk8cbOJ1FwM1l5NUgDCUyvEbGy5BAFFk0Wwq1tcdej0V6yBe5YUFaWlWq9lsbeVotRSDgWZ8XHLoq1Wf4dDGdTVraw6VioTq93qSn95u23FleskRd10oFkPm5kIqlZByOWJqake7jQ2b1VU3raIfRYowlEWAsbGIclkzPz+k27X4ylckneLSpQHvvTdAKej34c6dfJo33+spPE/GpjXMzIScPTukUtlp41atiuPR9xUbGzbLyw4rKx4rKw7droVtR1SrGs+L0p72uZxom8vtXogCKTC4tJQjCODxY1lxmpoKKJd1Wm0/MWOTIoRJC7x63WZm5uSvaS/qemmM9VPmWVZhfF9yMEZJcnIMLw/jccgmRrfsYrTLLka7bGJ0ezWQqtxinY6N7TZmDyLR7tGjgCBQlEphGqJ9EL2eotWSHOJ+32JmxufNN58ttzeJFG23LR49cikWNZ/+dHeXRzXpiZ6060oe39x0Ym9tjlbL5uLFITMz4knO58UYS4gi4hZfilrNZXxcDMVGw2Z93WV7244Lk4nnPJ+PmJ6OgCg29hSPH4tB7XlQrYo3f3HRZ24uoFrdOd6JF1r6davYIBcvcBSJ0VooSPXzft/C9yViYGkph2XpOAc9Yn5+yIULPs2mRRiK0d3rSXu1sTEnrqAu7cskfF4zNiaGt+NIrYBu12JqSjzK+bz0HB8MrHTxplyOduWx37/vsr4unnPH0TSbVrxPipmZkHw+jNuaae7c8Wi3bcbHIz7zmQ6DgcWdOx7Nph0XzVOcORPE1fEtwlDy+qXwnU4jN4pFSUl4+NBlY8Ph8WOHR49cokjheRFTUxHT0wEzM5IGUanIYszeFoLJubS05NHpSF0Az4s4cyZIIxzabSvNpdcaymVZ0Oh0LDY35bOXljx8X3HhwpDf/tubz3ReH4bxrB+TrBjrti3hMr3ezgW0UIieekHdS7NppatXSu30sDyoJYfh+TEeh2xidMsuRrvsYrTLJka302Fv/++JiRDPO/o9ufTJzsXvHe4qyLaXRsNO83s3NhyKRTH8jhvmnhhUo9vt9y3K5ZDLl4dEEWmV8X7fiscm96n1urRTazZtOh1Ftyte5MuXB2lxPKUkkiAJ0U56xN+/71EoRJTLUgF9c9Nmfd2h1ZIWa1NTAdVqxOysT70uix43b3p0uxaWlaSaRoBicjJiZsZnYUEq4QcB3L2bSxdKNjetuG3bTqh40ud8c9Oi37dpNsVobDZtlJKFhQsXhvT7VhrG7rqawcBietpnbEzeXyxGfPnLBQYDm1wOJieHXLgwZHw85Jd+qUC9LgXWpFVZwMxMiO9LNfjEKJ+a2glv39hwuHXLI4pUHI4e0OsptrZcfF9SDGxbMzEhKQPb21Jp37LEK9/piJbNpo3rRpw756ct0gqFkAcPcmgt/c8nJ8O0gN+9ex6djlTgr9Wkx3uxGFGtRpTLARcu+DgOaUu2SmW3s3E4lIrx9bodpxQ4aV7+2bNDJiYiKpWQjQ2pt5BEBliWBlRa/X9lxaXTUYBUnJ+d9bl6dYDvy7mXdAs4SYxn/ZhkxVjfbxWm292pWDjKcbznyUpjcqFP8nImJkz4/ElhPA7ZxOiWXYx22cVol02Mbs9G0uc5CS/WWqUFrqSStzwWRTu5t1EE29viUtR6p4r4cej1LFotMSgXF+XNeytTay2fk9wfbm1JNfBCIeLChf0LY2ktRlSnI17UJOS80dhdEK5SiWKvr83ERJAa2kGgaDQsCgUJxx4MVOzxlp0vl0O2tlwcR7zB5875T9yrai19tqNIcqSbTYfhUFEoBLTbLr0e3LmTo1KJmJsLOXNGvPGPHrk8fuyyve2k3tZz54YUChG1mpPmxl++PEyNzK0thyAQI7dcDmg0RJfJSZ9SSeO6EuUqRe6kh3mxGNFu22itiSLFwoLkh7da4kybmvKZn5dK6UlBv+Vlh9u382law9tv95iednnwwGV1NWI4FA/0O+8McF05b7pd8Yx73s59PUjO+qNHXuoxHx8Xb3W97rC6KnnghYIYvdWqjG04VGxt2SwvuwwG0mLOtuW9Fy+KBqPnoeTYi26TkwHLy1KIrl53GAzA9y3GxwPyeRnX1FTI5KT0aweVRoVUq8l5Idvs9eQD1tdFUwnFl/7p5XJIo2Hz+LGH1sl80bFTU9Ns2ulPu23FCzcRZ85ITYMwJO0VLx53CbO/du3kr2nGs35MsmKsH2cVpt2WVbm9jI2F5PNP12o4lFXP0RyOfD56riIhH2eMxyGbGN2yi9EuuxjtskmiWxCEhCFp2G8Q7Pw9anBmgYNubUf3Yb/X7BgKT0cp0gJbSfjz6N9K6bQVWGKgS+usg3ugH8b2ts1waFEohGlub6LdYBBSq0lI+E6ed8TamuT5Xrjgp17iw7DtiMHASg0315V8YpCFhuvXpc/6uXM7lcE3N6Un+vq6s2vhoVoNmJ0N8H2LpSWplr63onjC1pZsQ/YFNjfdOHxcUatJX3AJH4/4zu9sUavZXL+eT/uYnz0rYfzT09Ir3HU1rZaEmo+Ph7EXXO6ti8WIiYmQfl9yzMOQOMxcx158l25XeohLbrbPyoobd3OSXPzZ2ZDNTYe1NYdSKWRxMWBx0Wd8PGJpyaXRsNnctGm3bapVyb+3LMnp39x0GR+Hs2d95uf7tFp2uriSFFxLPNHdruLePWk51+8ryuWQc+d8ul0rruounufhUDz4SU9zgHpd8ZWvFMnlpH7BpUsDzpwJdhnm/b5EBwyHsgjSbEqhvmZTNEvywKemJDx/ZkZ+l0oay4pYXt5pU3fx4jCujp9Ltez1ZMFmfDxCKc36usvMjE+5rOP+9XKMczmd1g6o1202NyXnf2XFYzCQHu4TEwFnzgQ4jk4LzDWb0oM9KT7nOJpcTnQcHz+a3XRcjGf9mGTFWM/n82xvW7RaQ/L5nWIbx6HRkAvHKFofLWwq8eKPGvDlckixmF3tXxbG45BNjG7ZxWiXXT4u2kWR3NwHgcL3JVc08UTC8Q2+hNHbsaO+f+8tnPQ7Ptp7E3K5XOxVlZ7IjiMFvUb/Nul2xyMxgmCnYPBetCbu2b2Th7vfazY2xNDfr2uQ7xfo9RS+P2BiImRmJuDGDTGoq1Ux7A4jDCUUP2G/4sbDIVy/XkApzVtv9fE8WTi4cUNCx8fHJcf67NnhrgJh4um2yefFkNtbkb5Wk7B4EMP+o4/y3LiRYzBQKCUGd7kshvD8vB97dyX0OZ/XvPHGAJAq8Y2GGLNJGLqEfwPouOiZeKhXVpzUkJycDFBK8eiRPFYuRzSbdpwzrlledun1ZOHiU5/qUK1GbG9LPrbvK958s8dbb/lxjrWVGp/9vsL3FRMTUshtbc2mXBZv9/i4RCL0+8U4FNxPC+dNTwcMhyqu2i6LFK5L3HYtSovFtdsSGdDvW4yPh0xPh0xPB9y86TEcSgRFq2VRLIb8+l/fxnX1ruiI5Lyq1Ww2Ny2aTYflZRfb1vR60oJtZibgk5/sEQSS4gBy/IJAHIKyuBEyHFpplf7BQKrf5/MhYSgXDM+TSvPi4RejG2RxZjCwKBZ1msvf7cq2pfhchOtGjI2FgGyr2ZSxJVELINc7KSbnUChIxIb0ibfi1ISTb0dpPOvHJCvGepKz3u9H9HpJ+PvOcZ+YCJ8otADEq01y8h30fDJp9sr4tHD6ZtNK84mSbU1OhofmPH0cMZ6ibGJ0yy5Gu+zyLNolhm+Sl5ncSB/E6KLz3v+PeztzHKN6lCTlLGmh5DiJJ/X423oVMHPu6Pg+dLs73XtGz7tudycyUnpL7xzPvedtQj4v92r7FduSIsM7vcCT7WxtOSRSjY9DqaRZWVGsrUm+8xtviEG9H1EkxnkyHssSI3G/c7det+J2YhINUKtZqee+Uol4993+E86ifl/x8KFHvy/9uvdWlh+tcl8sRjx65PJLv1Rka0uM5LNnfSYnA3xfUS7rtFZTu20zO+tTLksP88HAYm1NwrVtW46j44jnPfnMSiWg3d4Jw/e8iHxex2Hd0tYtiixcN4oNcTsthlephFy5MqTXs8nlIvp9qNddpqf9+D5ZxQaveIa7XXGIlUoRi4tDOh079V6fOzfAslTqDZf+4RK14LoBa2tSSE7C3yV833Ekp/zOnRwrK5J/rrUYtfl8xMKCHy8oeFiWTnuUj41FFAqSP5/gujpNydAaPvjA46tfLcQFCXdef+5cEFeHT64Hcr7ZthjXS0teeg4lfeMXFnx8XxZJPE9z9eqA+XkJv19dlbD25Jo+Pi6LEo1GckxVHLEgxfPCkLTlmu9LtMD4uCx4yKKOptPZcTw6jrRoS6rCj3YOKBRE6xexyGg868ckK8b6YaswcuG1d62qJsXntJYL9tNWXfe7yLbbFoOBeuJ9uZxmdlbCoUa/HJJVtmRSJdvdr2Ljx4mPi6fodcPoll2MdidPGEqK1HCo8H0rDWnez4B4HuPX83Jxm5/Bvs/vt03LSm5adwzfrBq9WeV1nXO+L/ndo46J/XKkRx8/6P/kMdsWD6nn6dTwGDU+j1s4eC/Nphj8nrcTfu77EiKdzJ+kwFgUwZ07Y0QRlMtdzpx5slXbXuM+8eAeZsTcvJljedkFNDMzIa2WVDCfnAxZXHwyzxwkFH5lxcPzIs6dG+6K3Ez6xDca4hl1HPjn/7zIyopLqRRx9aoUWHNdzXAoXmPHiXj82KNaDSkWxaBsty0eP3aoVkNsW3KjJycDPE+uIefOSRsy31dsbztxOoKkAnS7kufvunDmjM/YWJiOqdWS9IIkN7xYFGPP8+T9t27liCLF2bN+vC8Kz5NrqutqFhZ88vmIZlNulh1HvP5SWFoWXZKieZalCUNFt1uM7/Elr951JbTbsnQaQTAYiIHbbDp4XkShEFCreQyHEgWwsBAwNRXw+LGLZcHXfV2PcjnaVctqe9vm1i2JVlhfl0WBhQWfd97px9XhNUrJmKTgoaQV3LvnpeH5ch5pFheDOEohIgzFkJb9gZUVyYcfNZjHx0OmpoLUy766arO56VIsimEuXnc5Ls2mHP9CQeZV0lc9sUtyOVmI2ZtCkvSQDwIVp4HYPHrkobVU7/+Wb+k+fdIdE+NZPyZZMdaPuwqTXFRGT8inXVyPSrer2NyUCRtFCqUkhMiydhemS06LWk16UY5SrYb73lAlq1nJZHsdMB6HbGJ0yy6vg3Zak+YRioF8vAviSV8/ldJ43s7Piwppfh20+zhymrpFkXhjez3riXuNwzgsKiJ53LKkArcYJCcw2JjR/Oqjtlh7GpubkntcqUg0ZXIfCE+Gpq+sOGxuihf93Xel6vaodqMt4GDHuN+PpDAawPXrOep1mzNn/LRHe9JubW/4PUj6x6NHLu22RbUqXvFkjM2meOVBFjFcV/PBBx63buVpNCzeeEP6jgOx91XufV1XMzsrRng+L6kYDx96FAph3DpM2nhZlhR4q1SkcnmyKOF5Iffv54kizeami+fJYoAY4WGcPy8txmQRR6eV5MfHJex6MID335f0gqSIWuL4qlQkP9p1ZftJe7mJiYD5+YDNTYdWy0or5A8GVmxwWwyHEpq+seFQLqvYKA3o9y3qdYtWS9HtSjRFEKg4SkMxN+cTRZJu8KlPdSkWNR9+mIsjdi0WF+U4SlV7L43KGF1cqlZDJid9PA9WVyU6otORxQ+pSbFTBND3FWfPDpmeDpmYEMNaKTlHOx0r9tSr9PFCIeLKFVl0qNfttOjiw4cO/b6dng+uK/ZBYnuM1uKqVCS6QULYd6JWxsejJyJ+fV/SHnxfWhDWanIOF4sSPn/u3IBeTxZmLl58tpaEh/FaedaVUn8N+M3Autb6EyOP/2Hg3wVC4B9qrX84fvxHgN8XP/5HtNb/+GmfkRVj/XlXYUarvicrq6VSlOZsnARBsLuv++hpUa3u5MUnofd7bz7HxsI03yUpyrEfTws73O+50W3lcjLZXfflLAi8rh6H1x2jW3Y5Ce20Jg7NUwyHVupleNaw56N83t7tSiVfHXuSXp8FzMMw8y6bHKRbUh2837fSsO/jcpTv/Hw+Ip+PnshpflVI8saTe5GTShkMgp188akpCdlOcrj3eumHQ7hxI49lSUj67KwYaPl8nnrdotHYMUoOGl/SXz2hXrfJ5SSPezhUvPFGH8tS8XYPrq/UaNix5x0WFyVPvVazY0+1bD+Xk+jNL3yhwOPHLisrHnNzPm++OWBuTkK/+33FYGBx5cogDt+OGA4l53t7WyrN1+s2U1MhnifHKAg0tZpLuSz3pWtrYhw/eJBLw8EvXRowNRVx6ZK0kltZcbh7N8fqqk2n45DLSd/v2dmASiVKK8YvL0s+eqEAZ88OcBy5/52ZEWfZ1pbN6qqTGpgzM7IIUq9b1GoOUSTh8Une9NJSLm4XJwaqLDLIfjSbBW7d8tjelnM/l9NxBJTFxESYFvabnJQxui6sr9tpWsLZs0MGA/mO29pyGQ6luNrZsxJCb1myENPtWhQKmm5X6mr0+zKOSiUinw+YnQ2ZnQ1TB16vp3DdiFYrKYioY9tD0hqS4oBJqkJSl8H3FQ8furRaivV1l25XKsmLAW7FixxSob5Y3Cl63e3KOZnYNqMt3kYjfjsdxePHsu9hKPuX2MquK63pkpoBAKVSyOSknAMnzWvlWVdKfSvQBv5GYqwrpb4d+JPAb9JaD5RSs1rrdaXUu8CPAd8MLAI/DbyptT502SIrxroTL2kGwZMhSs9KElYEO1+EU1PHbwHyNLSWC3PyBTKKbeu0MIaE7KhdX8onXcQuSQvo960nFgv2uyE4qFjPUQryJD0yy2Urrix5ctoZXjwvYs4Zjs9BRvNh2LZoF4bPp514keUm6KSvi4b9MfPuxROGkq/b70t+/9Oqm+8Xzr0Xx3HicNJg12uVEs9qPr8T9v1xITGkk31ODLbnRWvxMjabdhrCm+QSVyqSfxtFO48tLzs0m3aciz7AsuT+r9dTsefUiQui7Z5zUnTL3qW/eB91+rnr6zaumxRaIzYkn2z9m7x+dVX6mnueGI/9vhiAjYZNqSQVwjc2bH75lwtEEbRaNmfODDl3zuett/psb7ssL7vUajYzMz6VSsTERECz6dDrWXGxsKT9m0Rqzs35+L7F9nZyvBT1uhy/xHtdrYZcuOBTqYRprv7mpsWNGzm2tly0Fg/93FxIpSLtwpJ+87JgoNK86fPnpfd6Eqq9vu7SaFhpG7bZ2QCtdzo3+b5Ke5In3l2lknQDH9+303SM4dDi4UPxZE9N6biCeZTezxaLmosXB2kYeBK98fChF1fch3xeDNhuV9IAZmelH7tSUlSu0bDxfVk0kKKX8v2Xy4mTa2pKIgy2tqRYnefp1ENu25InLwtFOxeMfF4K/dVqdmqgd7uie7MptkgQKCYnwzhUXariy6KBTvu2g5wzo5HDuZwsSvV6inpdzq8oIq3c73mazU3RaXo6JIqI29NFcQX5MF3Uct0I35djvLHhMjkZ8D3f037+SbuHF/U9d5ix/sKykbXW/0IpdXHPw/8O8Be11oP4Nevx498H/O348XtKqduI4f75FzW+l4ltJ3kfJydscuFI2C/3fdSYflaUIu2VuBff36lSmrx2dHzSymP3XXKx+OwRAbICr8nnX3yonoSxKqLIo9FQHHUBba/hf1ge3NN08TyN68pN0se5bsCzsNOKyBgNoyTGc6+323g+yjXiabmdB+G6Oi6UebTFxFwuaUVktMsaJzXvkv7VSY/qUeMl+ZFzd/dj8rP7sZM2MPfm/+/H00K0d39HSCrazuuTKDZ5wLJ2jOSkVVihIN+DhYJ46pTSqbGV/C+/j7b/h825pJjUYKDS0Nfk90G1dLJK0vo2CR8eTQ0crZj+rNTrNu22hByPjUn+clK1fLQF3HAI9+7lUYo0/zvxYGot/cJLJbl453Ki0fLy7vPK8zTVqhTmCkM5XxcWfAYDiwcPJOx8dlaM9LGxaFeLq8Qx0mrJeB888BgMLKrVIK72LpXKPU+iKTsdi1u3PMJQ4Xkhb789wHU1i4tSoG1lxeanf3qc6emAhQWfa9f6DIfE7QGtODVHjsfcnHxGEMhiwo0b+XSudzpiGF+8OGR6us/4uBhqO+kBNr/wC0VaLYkEmZyMuHpVvPauK7nrtq3TwmVzcz5hKJXjJybEi91s2jx44NFuSz/y997rMzsbUKvZfPBBgVrNJp+XaunJMUuKsEWRZjAQI14WXSxsW3Lv5+YCtNa88YY4sSzLi9MDhmkY/8SEnAu9nuLOHY/r1ws0m4piUUL0CwX53E98osfkZJi2gtvYcOOWcA6uG2FZilJJCld7nlwvPE9TLkepN35iIuDNN2W+9/tWWqBNvOhSyC3pQNXvK9bWcnQ6Kk7XkIWN8fGQixcHTE7u3NfvbTM9HEouuVzDiaMPdq7VnY7NRx/l6XRsyuWQUknOA8+L6PVsokjz7rt9ZmZ25snkpEQCNJsWW1tJRIRoppQco3Pn/LiS/MlzGveXL9sEeBP4rFLqzwN94I9rrX8ROAN8YeR1j+LHDsWyLBzHwbZtoihCqaQ4msayLMIwxHEcfN/Hdd2n/g7DEMuySKINlFJEUYRt20feRhAET4zHsizu3/eo12WsQRDgOA6O4/PGG5ooevo2jrJPZ8/u/l9rl81Nd9c+lctQLAbPvU9aa3I56fe533i2t0OiyMOyZF/DMMS2LRoNTb8vF7ZknyBkbk4RBKer037HuFCQbSr15D4+q05H2SetFYOBJgxztNsBSrnpeXPQ72Qb+40nOT7Ps40wjHAcG6V8CgUHGFIoOESRj+edrk4HbSOfz79QnU5qn4JAMxzadDoacAjDANsWXVzXid8z+n8yDrlxOkxr39/ZhuM4WJbP2JiNZQ3J5V6WTrkjb8OyLJRSeJ73yul03PHst40o0mhtMRhEaO3Q74doffT5vd8+Pe29o79t2yYMd8YDO/uUnGPyeTvnz+5xBFjW/sfFsixs26bf50jj2W+fZGw2vh+glMNgEGJZbvz9IJ+fnM+u6xBFAY5jE0VSdEoMVJ3Oj8OOTzI3DrrugcVwGKGUQ7+/cx32PJtSKaBQsOPPP75Oo3Nyf51kPGDFN7YapSyCIMS2XYbDgCCQ37ad6CT/W5aD74cotb9Ocqx2rjPieXTwfTt93LJ2zgGlAhxHDA/LIl50i/A8O33N6DXrON8ttv3kuXfw8dm57h00Jw87pq7rAD75vI1lhXieotslrX5dLEZcvcrIPNZPnd9K2fT7Gt8XL6vv774O+37Aw4cF2u2IiQlFtTpkasoiCCIcxyUILKJIXv/4sRuHBEdMT2uiKKJeL9NsDpmctNPvgeXlKJ4TAa6bR2sxNre2QCkrNYjm5qQ/dj5vsbERsLFRotMJ+eQnNVr7OI6L7wfYtpcep04npNNxqddhOLQJQ/imbxpQrSrW16FW82i3Q3zf5f59C9dVjI0FfNM3BTQaCq0tCgVYXc3xla/kGB+XInXf/u0tmk2X7W3F1lYRy/IJQ4dORyqj5/M+7XaOe/dctLap1eTckPZnmrk5n+npkLm5KJ3XjUbE6mqeL37Ro9ezqdXg7Fl5redJB6apKclLn59XfOYzPba2HFZWHHI5i9lZxcJCn62tHHfvuty751IqDVlcBAi4davIl76Uw7JstA65ejVgYSGMv3Ntul3NcOhSKvnkcjZh6FOt2qyuQr2eo98PCQKX+fkBuZzHzMyAiQnFvXsOriuGsOM4cZprxPvvV7hxw0Zrm9nZAd/8zQHT0wMmJy0sa8jYmM3GhsayHG7ezLGy4nDjhiySSJu+gFLJYmLCZ3JSMT4+YH7eotXyuX+/hO8HgIdlhYyPq7h1muT9N5tuvOihY6+6ptnM8fChIooccjmfSkXxqU/1mZ+3CMOAUsmmVEq+c+W8HwykP3u/r6jXVXzd8Ol2Pep1uaaOjfm4rk2nE+H7LgsLfSoV2NhQKCWREFevBoyP+2gtFe9v3crRbju0Whrft1lbA9d1KBSGTE8r3nqrz+KiolQaYlkyJ3s9+4XcRyRzP5/Pn+h9xGG8bGPdASaBzwDfBPyEUurycTaglPoh4IcAFmVGvfIopbhyJaTfH4wIE1GvB9y4UYirUDoEgfwulyGftxgfj8jlnv1zPQ/m5qRaY3KydToWa2s2lmUTBBrHsalUAk46V0xybML4ZkilJ2wQSG5QkmuS5MR9+KFHGFpMTyu0lnEViyc/ruOilBq5qX15WBZx+G5EPh/iulZ6LA/6ffBFQccXBZ57G5YFvV4ISJXTwcBmMBC9kvMp+R1F7HOhU/F5sP97kt++L7/lC8COC5LsveE8eFuFgoOEgiX5Tdah2whDWXzS2iKfl3EmnrkwlJC3IJAwNKXky/8o+5Q87rpPPj46HqU0xaJifDwgnz9Yn5PROjmfXsqpfGyeZ84lVWF7PQvft9NzD9QurffqMqpfGCY67Zw3lqVSg2m/c09u6p88B0bPvdFteJ54APJ54krHYWyEHqy5zD9NFOnY22zh+1G8sBehlCZZ6E/O3cOP885rRx8bfXz/bTyZguT74mWNIhuQNkuHze+9x2fvNcJ1LZSyyOUkvzKXi4giyUeV9+78lm0keZU7Y9ovvem4OA4jnx9QKIDWPrlcsnjw5DxLdHrSWH/69Xdnfoexp+6g+T36nmQco7/1EW4So/ReBMB1odsdIKGk/q7fBy9AHGefnnbNOto2tLbp9XaM4yTKYm9ExX4/QSDhyMvLLu22g9Y2rivh28m5t7pqxx7RnXuyMLTiRYy9v+3YaRSmFckTL+nKik2j4RFFNpcvB5w/78f3ebIAk9DpKB48yFGvw8JCGHsQNdPTGtsO6PdlMXc0UuTq1WGcay4pCrJNeOutIa5rEQTSu3p93eVXfsVlY8PFcUIWFqBc9lPjcGJCitHZts3WlqLfd2k2I2zbYWwsiEPULZaXPT76KDGAHLRWzM/Dd393i/X1AktLitVVB6VCymVZzPnsZ/ucP9+nVnPY2HC4fTvHxEQUF6tTLC9bWJZictJHawfflxznBw8k5P/tt4fMzirOnRuQz8t9Ybst0ZpbWxZf/nKJZlPT7brxNuT4nTmj0Tri4sWQM2d6eJ7LRx9ZDIcOX/tajtnZkHfeGTAYKD78MMeXvlRhehqmp3tsb8trymUL2w54++2ACxcChkM3XoyysSzJwQZJGSiVfIIg5Fd+JRd3YXKZnBykCwzSlUmzvW2xuelx755UfK/XXaJIjP1CIaTddjl3LuLf+/canDlj0WoFdLs5Wi3NnTsuKysuW1surVbEykqeajVgZibit/22Fm+9JXM/WdBbX4fNzRxf+Uqe4dBFqYArVzSeB/PzPr4fUCjsLKAFgabZVDx6ZPPwoUsYKmw7YnFRc/Vqn0pFvp/k/jxCa4vtbYt63aHfh0eP8tTrEmk0HML0dBjbLhHDoRNHZRD3mI/QWhZWc7mQUknmQBAozp3z6fcdOh1pr3fjhlTeB4nYyOU0587JNelbv7VPoeBQr8ui99aWLIJ0Og4g0bAvosd6cv1TSo3cX7x4Xmg1+DgM/h+M5Kz/P8B/qbX+Z/H/dxDD/d8G0Fr/hfjxfwz8qNb60DD4rOSse55HrWbR7QbpzUMSyrE3B0rHBRWGQ8kLSXqoe57kZiQ3I5XKyVQgBdI8lOTzD+u7+SKJIvniSELrWq3RXqaS35PP7+6n+KLx4gSo4fDki1QYToYw3GnPk4R1yyqlwvePplsSahtFO2Geyd9aQ6EgN+wSEbLzvqzlcB517M/ytRBFpKHB+9W4OCri/YIg2P+LNgkPTlBq92DFuBJD7kVVPX9yTM9+LiRhxkEgP4kBchjSkkhyEZPfO2G0Rxtvwn7j3vv5T8t7TlquFYtuHP45zNzc+DjztO+5JH1mMJBw6uOEv+8910bTZ57lOmPbO10NEuP4KGPY3Zt8d6juSeD78hndroSF79djfPS1n/98kUbDwfM0Fy74TExIgbmkEnaSm5sU2xoM5J5wNCWiUAgZDHJYFnEkSvKcZnVVwpXPnPE5ezZI22OtrTnpNVRC4MO497ccj6Ryfrdrs77uUK0GNBri1CmV4PLlAaurNl/9apFeT3LGL1+WInPlchiHsCvu3ZOq5OPjIYVCyIcfFmi3bfJ5qbg+Py8F3jY3LW7eLKRpB9eu9ZmakuOWVKpXCjY2bL7ylQJbWzaNhp0WPj5zxmd+PmBx0U+roochPH7s0mxKvrjjyH1utRry8KGbVr8/c2YYh/Hb2LZmcVFC9O/fz6X3xIVCRK9nUSrJOSMGsaLRUHzpS6V4cVgWFbRWaa53GMK9e16anuK6msFAqssvLvqcOydjsu0hElYuBvP2tsPWltgAhQIMBuJk832LiYmAycmQN9/cmafJIs7WlkWzKcX28nnN5GTA2bPSA310vlqWLOQ0GmKYdzqyaFqtRszPD9OFoFxO8r+Tz2g2bba3pZCetKIL4ygbCTsPAhVXntfpvBaNovTz2+2d+7RmU/L7azWJaun1bFotuX8IAuKCexLOn6QclMuaVkvFufYyJ5Jc/KQwXbks0T/V6otrO/2i7IJTa922j7H+B4FFrfWfUUq9CfwMcB54F/hb7BSY+xngjdelwJzrunFrAdmdZIVX2jjIhXjvzZBc0EYrgUouVULSGmJ8fKdSe8Lz5qqHoXzpjJJUsDytG7DEkB8MdqqNJigl1T/jAo0nShKa4r+qbsiMEIaSF9XrPdkp4HkMHVlcSnI4ozQn2ui20xIpKch49BzaZ6u7oJT0Tc3nn69bw/Nql1xfJSRVfqTQzsnkMO89Dsljh233ICMlec/ePuMva5HhpDHz7uQZNZSTvPGjnMNPm8ejj+0tMLf382VuZ6uGShjuzjM/rH3ZXpK6Hod1tgFZJG63ZbJ2OopiUR9Yl6fRkBZTq6sulqV5880+5fLu4pejbeAkjFh6Xvu+VPreWz9Iqpon1bh9ogg+//kSgwFxdfXd1+FKJWRhQVq9dToWDx64rK87TExIrrBUFndwXc36usPUVMBgID29m02puL69LT3QP/3pfupAsm0xKpeXvfi7Rvar2bTS3uGf+ESP8XHZt0ePpHp5qyX3wJ/6VI9iUdNqyfFOvkPW1y0+//kyDx+6aC2e7Lm5gMuXB1y86O/StNdTrKyIB1pryftvt2WBxnGSRV3J22+3rbSXerIInxjwUUS6cJIs4oeh5O9fv+7FeeHE0Q9+mh/uunJfvr1t0WpJ7vj0tOR1l8sS7ZbPR2xuOiwteTiOxfh4QK0m1eNlsUNy6zsduVdKihBevjzgwgU/PS5jYyG3b+dICtC1WlZcZFBC2G17R3fPC1lZydHpwL17OVotyQ3P5aRl3cSELLKIXrK4sboqi665nE4LBSolx6talToBUuQS1tY8XFf6nyfF/SCJmpUFCdeVa0inA4OBTbu90556YkIiluTc32mfFwSk53+ynyBV3mdnZfzV6uHRt2HIrvl1Uryo77nTqgb/Y8DngGlgDfizwP8O/DXg64EhkrP+T+PX/0ng30KqsP1RrfU/etpnZMVYz8Wx7IPBYNfj3e7OhX4vwyHpCQ5PftGOj8vJWq/vVGpPvpwlVPfJkzR5vlzeaY1wVIIAtrdfLQM+IQylt6TvS2jpaGGeiYmQcjlKi7Ecl4O0e11JvNQnbVRLtdRol0H9IsmCbr6v6HZVWsRlb+jusxzr0fcqtbvV4UmRGA++nxTZOtkLwFFXrQ87To6jdxnAphr8yyEL8+5ZSBbXB4Mnz/eDIhOeFo1wHJLOBi/KUM6SblrvdIXZG8EzHKp0MT+JXjzudVRrWTxLqk3vXThLOt+AGF/9voXWimo12OWt73R2OvZ8+KEYVpJXLDf4yX1J0jY3ef3OAp4YLsm93n5EEbTbRTY2FF/4gksUKT7xiR75PMzMSI736H5tbjqsrzupobSwMKTVEk8uiOdzcjJga8vlwoUhtZoY2+vrEvF47dqAS5eG2LZ4ie/c8djedtI5IZXSNaurLlNTAQsLQeolv3Urlxq/09MB09PS7nfUy+/7mp/7uTJf/nKBble83bOzQy5dCuKFhoBCQdPpSIHURsOi0ZBQ7MR7WyxGtFrivS2Xk+gLue/o9y1sGy5eHDAYyDFIjE9pF+fEEUqafF6ztWXz/vt5+n1ZILt8ecj58z69nhRGS7zlrZYco2Ixir3A0l7Z86QVndawtOTSaNiUy9KTPJdz4/3rsL3t0GjYcSV3mJ0NqValrdrMTJKKIOHpCa4r24ad9sqlUkit5lCv22xuWty+naPbtZmcFA/31FRApaLjBQixQZL7D8eR8H6lpCK8bSddB6SveqkUpYvwxWJIPi+RHWfOJL3bJfc+6bPebNpxMT+VzoOJiZBKJWRqKuTq1QG+b7G5aXPjRo5+30o/Q8ajuXBhyMzM0dskRtHuBTrbjpiaOrkW1wkv6np5ap71F01WjPVnKfOfXMD3kyfxJiaVcPd7PgyJc1h2HrcsadHR7e42xkYNhOOEj+xvwOt9W3+cBskxTC44CbmcplKRL5CD0hESXuVWRGLsWU+0zDvMqD5KeG2xKN7RrHr34OR005q0d2fyRfm8kQAg75ewYbkhPEyvpPJ0UtX3WW4+nxbq/DTv+l4SIzgJRT3J+f4qzznD4bxI7ZJFoqQN4H6Lic+yzaeduxLGquPQUIl8eBW+306Sk9QtaS3X7e7U/jjp4zXaTm7Uuy39lk+2AvReA2B8XO5vtrfFwJ2dlZZuSfRjr6dot20GA9Ke5pcu9cnndx8EqVhupSl+0lJsf8NCIgudNM0rCQ9//Nih1/OoVgM++9nmrkXJINiJkEyOURhKD/Z79yRNTNJu5PX9vsX8fMDamo1S0ue821XMzIS8806fsbGIGzdyrK6KYRmGUlH8wgWfIJDQZNuWhaXLlwfU6xYrK7LwWihEvPnmgEeP3LhtWRiH7mvu3fNiD7+H1nL/+e67PapV+X45e9an0xEjNgyhXnfI56NdYeWWJdtJvktLpSDupy4XBSlSJ57nel1avjlORKPhpMe31ZIIgPv3JdrAshTlcsAnP9nHsmSRRnL/paq864pxOzYmUQlTUxKxYFkSGdDrWdTrVhpKfu1al3PnpGd6vW7T6XhxdIGkDSQt35JohaTvuWipmJnxU0dKGEqUxNqaR6slCwf1uoS1S1qUxnXh4sU+09NROj88T6rVS50D2abnyb7JuKO0MrxlwdhYEHvXd85d0cAmsT+S3PVyOWBjw8XzZHE8mSeXLg2Ynw9YWvKo1RweP95ph+h5mvHxgHfeGcRdBo5PoyGLZ8m8c5yIMJT9rVR2FsdOktNo3WaM9ZdAPo7P7h+1/9dT0JpdHvWEZAIk+Yx728qEITQacsEvFqP04jDaomQ0b3y/G/YkbOUgY/5VN+BBjK+kDUpy4dFaxYWedtqAaA3T0y6lkn5u7aJot8f6WW9g9hp7o6udBskFlMq+MueGw52Vz4NyJff+n+QKJp7jxMuSnPPPot3TwqAP2q5SiWGcnfDT5+Wkr5eGkydJsRgMxLu5c/OVQ6njexyOMj9k++Jh3s/jaTga+4V453K5eGHw+T1FyU1/Lhe9sAKxjcZObrf0hD5Z79lgsNPCTSmJIEz6m7fbVroo8PChS7st9xKJIb2y4pDPi0PgzBm5mc/lIsJwd1RGpSKh08OhpDdIq1gxRqOR3UlSmRIjrtGQ+4hu12JhwefqVSt+fJguDoDc14WhotcTw2952aNQEK+z48h3SRBYXLzYTx1Dvr/zfed5mitXhty543L3bp5WSzE1FbGw4DMzE5LLSbh2rWZTKITMz0vuu4Q9Sx7z2FiULhS4rnQCqtcdBgPF7dsew6GF58l3a7UaEUWwsOAzOSn3mKVSNJIaKn9sb9tsbUlotONoul1JL5if92m1pOe87yuuXBnErb/k/YVCRKcj/dQdR8Lmg0CxtOTy6JEbpyBJHnuhEHLnTiE+JrI4lLR70xpmZoYEgR0XUtZpxM3srI9lSV/0YjGK29CFtFo2w6F4m5MWZr1eDq0V29sRlUrIYGBTLIYMBha5nISmd7uyn6VSGBc8FQfU9ra0UMvlZGzS2i1kcdEniix6vR3j37J03CZQzsNcTsd6RHFKhqRMJJF4Sfqt2As2jiMt35IFhO1t0XN5WarQj42FcXqG5OL7vp0W5U3qLADMzflMTYVcuvR89Ux6PcX16/nUW5/LRekxK5UkRcDzdHrvdFDr6efhRd2jGGP9lLFtO15x3bkCJyfRizCyfF8uiAdJm8tFcVVvKw6bV7vywLWW10xNhU+McW8RuL1IWNHuPJL9DHilxMv/KoWnJqvVkNyMWtRqHo4jVVn3o1yOjlToT4rByGKAucncIfEcdzpW2rs3MZKTEK+jbgd2vNX5vNzAhOHxL9RJfmYSdvoqnaMfB5Ieps+i3ceVIBBvZq93tOJfz5NqAXLTuF99AqPd85FE8kg3gyfFOYm6C47zZIj3q65bUiAuMXRGc7uPg6QzqF2V5BOk+JXMH+lRvnMs6nWbZlOxtuamjgylYHrap1zWsQEjYdBXrgywbbnnGZ1n4+M790WJUS79pGUx1nF2ioWNfufkcvJcq2WxsuICmvl56bPe61mpdq7rMz4epf2n793zYg+ulS7say3fbZcuDbh7N5dud2JCQt/FSJeCYOvrNtvbLjMzPgsLPlNTUWx4Sri+9CEP444wKl18mJ6We6W1NZuHDz1sW1Ms6rgAmk27bbO5KaHZxaIUQrt4ccjCQpD2fR9NNej3paq9hKlbjI3JQtCDBzmGQykwtrgoPbXHxsI411wWHcbHAxqNpB4D1OuKR49yNJs2a2tObLxKX3LbFrF8XzEzEzA3F8Rh89LBaHxcWrYpJQXmpqeDNEIzl9M0m7J/g4HFwsIQULGxG1Eua5QS738Skaa1xfq6w+Sk5KKPj0voebEYsbTksLzs4XkR3a4crzCUfuVJlM/iYpBGdcg5o1PDOTk/tVYMh2J0t1oylkolYmJC7kUvXBjG3vHd9oLWcl4AbG7a3L+fiyMLpaL85KSkWLiuzKnEqJdjRJwWIkZzstC1M/9knh1WRydxooWhdBnY2HDTe0OtZUGlVNLxeb+zmNDrSRRksg+WpfmWb+ke5dJwLF7U9dIY66dMPp+nVrNotXZyMH1fpcUjkpWgUZKTeL8Ccs9Lr6d2rcCOorWs+ColX47JqtgoSah8Up19lCiSghJBcPBErFYlHCkJ6xo9BZ/1Sxh2vKpJftHTOKwAT5JjXa16NJu7tUsolyXfrN/f36hMjmWxmJ05treY0eiN/96bRN8XIzsp/nFYqPVheriuplgM0xCyxHN21Eq/+2G8s9nlddAuWYTq9630pvNFkhRZTG7sT4vXQbvDSFp/jXaeeFrO+nF4UXUmnsaLiP4Lw+frDiFpbDv3HxMT4a5z+1mOcWIcJ+k7tZqdpjcltXy6XZXe+zx+7NDvW2l++RtvDJiclBv0KIKPPsrH791935KkHMLu8PWEJEJxrxd9tDhwGMLGhoQMLy9LlfmkIJhSO+PN5/NxTnTA3bsed++6aC0GuOdJSLjjSMj6w4cuQaCo1RwuXxZD7dEjaXX1xhsDPvwwj+9LCuW5c0OuXBmmHtmHD93U6SJh1hrfVywuBuRyUtW7VrPZ3rap1x2U0pTLIfW6w/a2nVamn52V0PlqNUyr8keR7CuI4ZfkhK+vyzbPnQtw3YjlZVntcF0x0GdnpQp5kh6W5GIrJWHtt245PHyYI4oU7bYVO6JkIf7iRZ9WyyKXgzNnBoAYeskiWbUqOfX1usPsrM/Zs35cAG5Ho34fvvKVYmzg+xQK8vmFQsTDhx75fMSjRx6+L/s3O+sDcv89O6s4ezbA94dsbDhxcTqH5WVZ9LEs6HRsSqUoboUmhdUWF4N0IWm/iKR+X9FoWNj2TiepiQnx8K+tuXFK384cEo+/kxZz29iw4+MijopCIeLMmSG2LYZ/kg4kBeUkqiDxZCdGuuPsf+1SSiIUpM2oFAQcrbklVe8l1SlxlMzNDTlzRhx7YpTrA+0Xz4vSWgSWJXPsRThbjGf9mGTFWD9sFUZr4tW4J8POJVTGSsNZ9iMphjI+fnDe9XFpNnfaZexHkqvTaFi7vJ/J6nHyhZoUeBudLHtD+JN9TAzedlsuvKNhbUlI2WFovRMWflgO8HE5TLtRT/wouVyU5t80m9a+xnyic6m0f57a0/Izj8N+qQyDgRjaSU5h8ricT1H8haaf0G70uHqeGNkvKtTxeXjVPUWGg3mR2vk+sQH9fHNqL/sZDonnObmR+ThwmvMuKTx2kFf6oPccZ5HRtnc6T7wKEVJ7U3aSRfLjntu2LY6DKDqabvulKuz9HnmWFmtiaNjxmE6+gG1SIT7Jfa5Wg3jRWT5zMBBnhlJyD3Lx4oByeffBXFlxePTIpd+3uHJlgOPIPVgY8kRUy2jaYKOxU8wrIQn3HmV7W+6PajWbjQ3xeF68KN7tvY6b9XWLL395jHpdDKnxcZ/paUk/kDaOmjt3xJsbBBbnzonXv9sVgz0IxCG0suKiFLz7bp+zZ6W/er+vWFrKUatJ7rrjiFc1nw/jtlmwtJRjMLCwLB2nDQZxLr4iiiyKRVnEmJ4OGBsLmZiI0hZbvZ7s49aWw/37Llqr1KMreecRjqNTz7pS4lEtFiXXvNNJCp+FdDpOHLataDScuP2ctPmamJAIucnJMM3B7nTE+14oSO62GHYhxWIUb0/Oh2Ix4uzZ4a57nFrN5mtfy1OriTdZeqlLZGA+HxGG8NWv5mNPsB1HNGhmZ+UYbG25lEoRY2Nw/77L9esehUJIEEhKwIULQyqViLNnpRVdEv0KMqcST3rCgwfuru8zz5Pe5Xvnm23LYu6dOzk2Npw0RUJyz6UtWrks+zs9HdJuS8G3UYfcxERIr6fi9A/Jxy8UpNic1NESEh2TxbBkbEnkgG3LIsH58z5jY1Gcu2+n7fGS3PlkDo3u7+j9NUhEzNKS1EbYG/aey+14+08S41k/Jlkx1kc967uLuT1pzO5lb8u2vUxMSA5N8gV3mJxJ64/nvcnodqVwRq+3s8iQfHazKRsfGwvToh1RRJzbsxOaklQAdRzNwoJPqbSzIOH7Ks4jl/+l2qZUXE2OX6UScvas/8JvmJJV61ZrcCTDOVnZTPJpRnGcnaIbyU1i0pNV/te7zo/kRmduLthVDTZZ4NjbSWC/KIGDSCqHvoqG9knwunv4XjeSCJV+38J1pdLqSeTP7kWMLZPz/KI4bN49z0LJ04xq+P+z92cxlm1pmiD0rT2d+dg8ufl0/caNyMiMzKrMqqxqupoCCUS9QLdKLSReQKgQzQtCIJ4aHmiJB154QeIVHhCiW6oWAoS66FYjtdRqZVdSlZWRkRmRN+6Ne69P5jbbmYc9LR6+9a+99rZzjpm5m9/rHum/5DLzY+fss4c1/MP3f1+5Kn1fJHB5TkdZVA/SdDGp623P9y52W3RYoXqQG4mqu3/XD7leDoeeha4KHPg+TFB+VN0pgvEogoXs5jmreZ0O4eNpqrC5WTCYi52d+fjrv67bosCDB+k1RR038K4m8m+C7g8GCi9ekO+hXs/w+nWEtTVqjrvBfJIAv/51Dd98U7OFjy++yBHHPqJohuHQLwW8aQr83u/NISo5f/3XEXyfvsZ4HKBeZ6X27/29CfJc4eLCt4zeZ2c+fB/IMo3RKLBFGoBIgvX1DD/72RTfflvD119HJgCmryfSw1FEyHW9zsD7q68iHB+L2geDZQlmAX6/UsIN4CMMczx8yEpymjKAl/5saeX85S8baDYzDIcM6iW4TFPgRz+aY2Mjx9lZgDhWiKIcDx6ktpovkPcoItKTajXaPieOIaIf2PdPlADXmByXlwGaTSIIXr6MMJsBWeZhf3+OKCI6sdViW8HlpW9795NEYTQKsb6e4w/+YIhajb360i9eTYRFkbZ8A+fnoVEBYFLk4cO4lFDis6Y83sWFj+mUY59kdwoHBynq9RzjMXvk49jD3l4CQ3Buv6/bzexzEkh8nrN/nmOf6+Jg4C9MEHa7GXZ3U/i+xsVFGWaf5wzWT09DxLFndNKLOef6yvIse71iIsxmfB5Ev+bv3Ad/V/tUWb+jfSzB+rIsjOgI3tRjqHUBeaoSUvV6/tIqQpXZPUm4YIzHdIqpO+ker8jekTlz1TUxC7cIoi/BtmuDAQk2tFbwvKI/R7QvF5ELyf+Bch+81sD5uYfnz9mz5DLOSmZOa7W0vWAZ9L36Gu+hbyA1qSXneFsnP0m48MvvTGTwy9bWFstTiASG6yRyQ2fPke+/X/6Dj9U+VdbvxwThIYRU1b+tGnOL5taivwNcT+p16YH+9Oy+bxPCuOn0OtpG7DaveV7x7KpjIwi0IR7TJpBQtipc7R+u2k1uyqqxVj2P6l6zKgngeW4w/NvJBA98/+ulEIQBsJXWtzWpWLvPhVU9BpjNZkGa1WjkdrwBfL5BQCivvE/Y36+ufLx5E1hd6p/+dG6htW6Se5EE703yuPM5q8rCMt9sUs7qxQtWwX/nd5iojGMGsG/eUBaLPdo5ajXg+fPIyMV5xqfLDRcQJc7mc4VajTD0774j03qrxeBsdzfBF1/E6PcJV7+89PHLX9Zxfh4gTZVtRWs06Fs8eJBgfT3H3h6Z33/zmxBffkmSr/39BJubrJrXagwo19dzZJnG1VVg5MjYb66UwtoaSdSYKFGYTHzs7iZIEqIZGg2Np09naDRgUYetVoaXL2tIUyYrplNlGem1ZrIiCHJ8/jmh8cfHAXxfY32dmt07OymOjkK75qyvZ3ZOS1Kl3WaS5OLCg+cp42eSb+ryku2VDMxzk8zRBs3jwfPIX0B4tobvK+zu8hn4PqB1jn4/xPZ2apn/v/hCYPOL5xyl3JjEAWBaH3gto5EQeyr0eqxgS2/+dMpzX19nQqXV0qaopq0/vLaWYXs7s4gC8T3nc463qyvyKbD67pWkj31fW2I9Cepl7gkxo5j4r2trRCvIeShF1IyoAgCLua3c73SfVb1OhIbEMmIFUpnJjEZD4w/+4P4TkJ8q63e0jyVYl8r6aBTbQPUufYVac0O4uvINdLn4G8lO5BlyxnS7mZFbKJIBbjWf+o/a9kdVg0/JYlX7rBZZrVZM1tuQHAmBynDoI00ZCEg2WEz6TR48iNFoaDvhXekscfxcDeV2O0OaKkucNxwWcEi33839rps21VUZtDSFYfksem4WJR0WOXdBUCREViVdbpKWA8roi0WQd7lfGxv31yrxodvflMp6ll3voa3au1b5oqgcZL1v+5vy7G5r0v8+nV6XaXTfk6YMgOWfq8lbRe1I0lQ+y77Ud+95vwsbfDUI/puyNn2I9r7nnATAsha5AcJtzE10V63TyRDH7H8t+s8ZjLRalK1ykW4bG0zin50FxmdxSakUkoRB5uYmNaRdrXJXSUas0biZjX4y8Wy1W1CDGxsMvM7OApycBGi1cjx4kKDfJ+z8u+8iu657nsLZmYfh0Eetxmp1vy8w4cgwmMfQmgHWeOwbhB99v81NMo632xlmM7J1v35N3e/RyEOaAvv7MQ4Pc4NYZE+yqPj0ej5ev/bx8583MZl4WFsjpFu0xnl9PG/f15jNfAQBkxDtNuf39naMnR3KnkVRZpniJRAUya2NjQxJwnVpNPLx7bch/uIvGogibQpQGfp9HxsbJNnb30+QJJ5lepfKuO9rjEa+bfdbW0ttwWs0ov85GnmYTHg/ZjP26nc6uQl+faytpfjsMyYAKLOa4+QkwPk5Jdw2N1k157Pg97bbrM6/eRPaolS9nuOP/mhaQtEqVcdo5GMymVtEw3wOG9R6HpEEh4dEkA4GXP9fv44Qhrnh99GGwI7nohTl1ohqLeYL1WRwzdfNMliOAXnf2lpuEbhKLUf/8t7R1xa4uxu8C9kbe/8Zl/i+viZJXbTNEJ3i7gPSkgsULaNSdJR2FkEVu6hbKh0wKfP06XW+qXe1T5X1O9rHEqz7vm96sTTimFqAt03IBAEHuUzMVmt1oO/2wIuJ7ulspmz1HIANll0n3B0OAhVb5kRJj+Bo5NseNfZo5qZqXj7mInTAMktT4OXLohfHPW8JYKnRWMDKRU+9WvnhYhLYe97pZFYvN4q0YSj1DNld1cH1jTRGcu24RCAsRhfcl4lW/KJpehsnQazaWuCam1QQBs+P3T6UyvptgmmxtwmqhViM8L23P88PyX7IZyewZ4E8J4myhEXLTEjHbsstsSqJt+i9hHdrI4W1OGGiFNdrCXzdJOb3aR/KvPtkd7P38dzcKhsrjzf3ny/q6waKZLMEjuzP594oiLrDQ+pcizMvJk5+v8+g/cUL6lszCGFQurNDGbbBgMHnj340R5bxOO45uz2w0vJG3evyhUnftpggSURGq1bTODrycXpKybC9vRSDgW/6oIHxmAH2+TmDxlqNe32/HyCKGLD80R+NMZkESFMm+j0vw/5+gi+/rOPykvcxDFlFbTYzw2QPA6cmZH17O8PGBj+3vU3Ct8GABG/n5wF+8Yu6CYx8+L7C5maCOGYicD5nP7iQ8T58mJhe7My2EWjN/nAhyiMfUQqllGnb4N+l+trve/jLv6zh5UtWk8n0naHRyOB5nmlJgQMXV4a9npVa0U2XZ87Wgxz9PqvFk4my/mSWEdJNkjo+o37ft/DtMGQxbDajFJsUoQ4OYhweZnj5kiSEgrZJU/boz2bUMf/ss9iepxSzqArFvvok8c1+o+09q9XYQ89Eg4eTk9CyprfbGbIM2N3NLI8T/W+2iLr+3fo6r0FaZPOcSNMwJBrg8tK3CduNjRS7u8uRmVrDJhNcMmFpYQCINvE8JuQEGi/V7+o8Xl/PMJkUrS/yHXJciV/IocEgfjpV1ren4g95EwRlOhrxM+fnAQYDhcvLEM1mjp2dBP/oH40WX9g72KfK+h3tYwnW6/W6WSSm1xwo6eObzcqOnvyepsourNW/uTA+eS0ItM0siS1jCtaa/VrupHEDbMlaSQDredePfdsMuaADRiNvKRTdNc/ThlXy+t9kk5ZeGll8mXwAGg05JjOx1YQDN1LPSk5EUY5ms6jsSF/U+nqGbreG+Vzh9DS50RFvNHIrIfF92CL4nVi3e52p/yaTCr/oJleDChlr901o+D7stplPSTgx2LqdigCwGgrsjhPPo2zNh0JI9T5NegClspskgvwp3nOb7aZmmufuqtW9yATtI7DLm6H7rMgIaRRlG1d/h6B86vVP1eFPqIiP0+7rublVbLJQX3dm3QR01RfodIq+bgkSXJTedEpYMaus2gaF5+cFEnA2U6YVjr+fnASWAbvRAB4/ji0HzHQKvHhRQ5axX77bzUv7nAvxXWS1Gn2H8bgcnBPOneP0lNdZr9OfGY89/OVf1jGfs1c6SQpCvWaTwevJSWDbFRuNHHlOEq9GQ+PJkxivXoW2HY/Bf4irKw+//CXv/eZminY7w8aGxtZWgrOzAC9fRhZJU6sBOzsJnj2LEQSsAF9cBEa7XVjZ6U/xe7geEvqcW8TCwUGCRkOj3/fRbuc2aJ1OlakY83hJ4tl11Pcz9HohhkMmJvJc4+gotPrj7bbGwcEc+/sJzs4iHB0FyHOFJ09iNJvaMq23WqwAkyyPPmUcw5DI5XacvXwZ4eLCh+9rqw8vsny9HhOsv/lNZNCRDMTHYyHUo7qQUtrC/4Vn6PIywM7OHAcHGbKMBa+9PfaCJ4mHyYT3QNodadqS2hFdW0OjoXF5meLVq4IVXSTwlBK9+4IPSloT6Kt5TktkETC7Rv83tVLOgqJalDjTms9eWPld29jIsL2d2kIOEwkBTk+LAF58bQnSV80b8bGFn+Bf/ssGBgOy0AspK8AERRAAtVqGJCE6JU09Iz9JUj4pOrKNIsPmJtEIAOfwojXoXe1TZf2O9rEE60HA/qfp9PqgEcKj+3L0kqQMGXdtWc+hkIHcFKhIcOseezAow7fd7/B9LnIuc+NtjNlAD8fHBaxtcTVJ2wWo0WC13fdzS6gBFAmHPFc2O70oeHCDW9ERHQ59ZFlgrj2z7QXlcyjIOAg7W+3Zk3/g/cq5ycK+qEIB3K0iv8jiWJl7ujrwWZVwuYu9TUAdBKKtmt74Xm6Ay6uW78OqsOUsk5/vTky1ym7qI7/pc65VA1/JersV3lWBrvRJz2blypTvc8BkWbq0rWQZx0XVfhuRBx+yBYGslzfPu0/24di7PLfLy8IHEIkzoEqeWsxT9hKzZW028wzvDKG01bm8tpYZIlv+nxXFHIMB2wKlyCGw3dmM5yEBv7Cddzq5lVxLEoWf/7yO6dRDrUYJL1cy7SaTyqTLci0SZEAhPcaKf25bF7/6qobBgGR24us9eJBgayvFn/xJC2dngelxZrCyvZ1iOiX5FqHj2hDrxsgyaqmTlTvEfA7s75OgrNHIEMcMVM/OAnS7LDwQNq6tD8P+Zg9aa5ydhUgS7kd7eylOTgIkicLTpzE2NjIcHCSmNVLB93lN6+t8znmuLcJhPlc4O/MNDN9Dt5vZqrVIk4nvwB56yoI9fZri9NTDq1ckwBP4crebAuDNyjIY+S7C78X3I9M72etfvKghSQglp5pAjI2NHK2WxnisbH8z5Xg98+zoD1H2iwMgDHMkiY/1dZIQfv11DRsbqRnfGpMJMJsVSZZGg4mEwcDD2hoTNbwfABMf1AtnMoYIh7U1wPcVOp05trYyG/QmCWH6EhwXflxBzAwwOBdOgapPe3ERWF9C+sNlzAl6hbrwAmXnAaQiL/coSaTVgokGqXA3Gjm2tlJsbjKIlkSZsLrTNyyfL9stlIXHi1KS1hoHBym63dxC7vNc20KhtMUKgaYoLxBxwrYDFtZSjMdMAiUJcHISoNHQ+Af/4P511t/XPvcpWP+B7T4rRe/DqrrrN8E0tS6qq6sc4CShzMnpqQtnLxYQMbdaLwRxd4HMS9W+ysBevY7ZTFlWWGaki+8lGcv1doAoisy1xCbrV3b6mYEnS+ptplKrlUFrZbPBq0yC3fsOMlZV5N+FrE4g38IZkKYwGfPVAbbWsBAtMeqlFgGsEOktI3iqBnDy3Obz++9XuitcfdF8kmQWiVNgAtsfBrq8yNxAWmB4VXvbXnh5Vp4H0wuflwibPvT18pMtt0/P7uO0Wq1mkHaxnffL9rMsK/rHpR3sumQZk2Rk+i6vE0kiiDYGjiLrJgGF1kV/u9YwpGV+qVe81cpsgOOSE9brrLheXfmW/VvkZcdjD69fhwgCjd/93dmtiwhyPm5yukoyN5sRhjyZeLYd8OqKFd2vv67h4iLAgwcxHjxIsbXFivovftHAyQn7lNOURGvzOYOzbpcXtLmZ4tmzOZ49S1Cva3z9dYg///MGnj8nN8TBQYydHfouWZbh5CTAbKbQbud49Ci2iQgGQYQLX176+Iu/aOL8nPD6OAY++ywx98i3cmWNBlsEGcwz8Ol0CDlnNZr3NQwzxLFvg9WNDQYwzSYDw/hkiMHXQ0TzMdY3czz6r3Tx8I+6eP06xDff8DqSBJZhnwke3ugHD2Ls7WUmkeCZyjWPKz3ZotkdRRoPHyYW0cF7ynuR5wzevvyygTynvNnv/E5sWz1/85vIsIuzB5yQed8mTz7/fG6eM4mZnzyJUa8XbZa9no9vvong+znOzyM7LyQhIRJv7bbGzg577D0vwvPnEabTBPU6kwCci0zKsCWjkE7b3FyMYk0Skg26hYwg0DbQFu4qmYdRlCPLFIKAjO6Nhjb96eXEdxhqO67F6nUWNuZzYD5ny0ijUSSfPE9bBEK/zyTbZMLPiwa6tHQ1GkQQSMus6/uIzrqY59GfFP1232eCTAgABSXcbBIiP5972N9PsbGRvZfK+vva5z4F6z+whWFoJERWZ2HcQFEyhkIG96GY9KNQTm01PF+s1SKEi303RdYRKBYSYTtnf2+5t95lj68aCTXu3mctKAHJZkpGsDguHZAwDBAEOZrN2C6+QBkmLrB697Pdboa1tbKGuttXf7tARzsBK4NW/rzOnMzF/vZ8AMsklIQ0T87XNbnXyxAgvg8ji3U3yDfvS8Gz4HncPCR4FSbQapvCqmsNjSeVJMntT+QjsTxnckmqUjc989sG1e78ZZ90bhAH737Od7Hf5mf3226fnt39WdHCoUoJs7dNki0zJt9DABpAYskk3f12OlV48SJClkmfa5HQXdVytYiQbVEVWyphZCen+ku/H5jAitDrdjvD5WVQ2nuFLA7gmvj11zVbaRd99/NzH3HMauCzZzcnb0WLXUwqk1X/Q2vg+fMQo5Fve2vDkIS4L1+GeP06hO+zer63R9jxl19G+PbbEPM5A5k4JhS71Uqxs5NjbS3Fs2esBqcpq9Snpz7OzkKMx7xh29spfvazKS4vQwAKg0Fog/WHD2NorazEltZsAxgOfZyekmgtTRW2t4kUHAyYLMhz9oFT35rw9NHIN7JjRYCX5wyinj2bYTwOMBwSDl2rsb+egbdnq6f+aISHF3+F/c0p+ljDaKTQG0SInzzG9rMIDx9mSBJlA75nz+bY3WVwdXHh49Wr0JLzCYEypfMSbG6mtoWz2SRyQoiLz858vHkTod3O0ev5GI0U9vcz/PEfj3F5SRk+qcAmiY9mM0W7DcSxBqCwv5/g2bPEJH3oEzUauSGio6ydKBDwX47dXY7RBw9SixrxfbZIxHERtErrRK3m4dGjBJ7HuKDf93BxEViUSqfDvmzu9+IXF8kBSaT7vsbuboIwFL+AKNJ6veBUEN+1IBbV8DxVYnmXRFm/75kkGYtma2tM6Eynng3EhQBwMAjsM5AChDzLTic1SAweP4pYEadfzfcxqaBgaivWhMyP813b88qyoug3HPpGIlpjMAgsZL5e1/a6Gg1yB9y3va997lOw/gNbFEV4+TKAUmWd9Zv6iuOYC94ymLn7f7FlFTCxRiM3k6SAQblV1moveTUAv01FfZm5wapreS7/3IBU/k+I3HRarmoLAz4zaszqdjqZkcm4+Z4InOomiHYQhGbTZEZ3MikgXC4Ezj2OaLcOh54lG3Gr9pKEEWKcZdqrwvI+mykLMfY8OlGysEpSQyQxajUY9tjr917uhe+TQbXdvlvrhUAVF7VYALdjrn9Xc1EU1TngPucgCM3f4rcer297flXI/k1Qbfezi7gCqlYE0r+dUlKCiojj+99kP9n7td+mZ0d0EIm05nNlHVWxm9BCi3pCF9my9cH3dYmh/z7mOVuDYAK64vcgiIx2c4LLy8A4w0VCt1Yjgdiq/XI0KssoAUWV0DVRm2HbGN8fBLxOIY0SxJpUB+U9gvqSokFxPMLFP/uMzNn9voejI+4BT58maDSWV9HZQ+8m6pUNBGXvlXs3mykcH4f2/Ts7mQ0ser0Ap6dCxqaxv08CsMFA4bvvaiZwApQiT063m+HwMMXeXorDwzm0ZhBzeUl97H6fvbns7aZ0ZrNJqPB0ysqo1h42N+kznZ/zWjodQpN7PYWrqxCtVsHGvbGRIwgYkPd6HrrdFM0mDAGyb4nZONa1ZTLvdMgif3TEAD3LSPQGKGxsJBiPAzteASIaGo0cW3/xzzEY+pj5DazV53iwNsSj8BXSegfpv/XftPDzycTD8+eRCaCVlcs7OKCfsrtbsPJPp8pU/OkHHh+H6PWIvOh2M4OoyABw/Pp+AT3v9+l/bm0l2NxkgN9uZ2a8wSQdAlxc+HZucDwW1zWbeWi3M+zvF+NajtHvM5Dv9Xx771otXfL5inEXYjz2kaYM+Cgxl9nqscyp6ZSBP/XZgenUR62WYTTiOKOakrLztN3Wxo+WNlcG3SSX43OV/ytVJqRWiqgRIVeU+xzHvD/Ck0DkK1ECVYRKr8exOxoRpSGBs/jNVV/MjYPGY4WjIyJx+322FAgqQvrzhaBbCkdbW4TkL1pDXULI+7T3tc99CtZ/YIuiCH/2ZxHOz7mYac1AdDJRtgdLgrlqn4dYGHLTuykQmk7VNTi4WJ5zk3OZqQlrue7w35S9LwcUhH3dpi900XELSDB/CqGJBKbM5CkMBtwkFjk3BRnedeeHgTmzeNIvLscT+N6yAEmCPllQqTGZlTTfpUeNRIEKriySBNnixEgf02hE4pLJpJB+A2CfMTcPja0tQsNks10W2DPLWTBSr3p2cq+CAHYjrx7L/b3ZvB1x3jLJPzleENy+L/BdTRbT8ThBv19oR8v4Z6Vq8b1stQg9W9UGsgoW/tscSH8f9tsU8P1Ns2XPToJEScgu+ikw4yyDYX0WiPP1SbRovX4bV2bVWilrMP8VAfNtksGrvu+HNPExRA6VzjcQRYzCe73Mtod1OpmF5rqmddGz7VqViyXPqZvs7geDASufonMtyLYsg61+y3kK2dyitq0oouoM2bhZbQaowT2fE/r82WexCeqLfR5gVVCkqoAy07xcnyTSswz49tsaLi58DIe+hVpvbaX47rsQv/hFA9Oph37fN4iBFE+eUPrs9DTAq1chplNCw0cjH/v7KX784znynNXb8Vjh+fMaJhPP6JFz7IdhhtPTEJMJJco2N5kQUEoB4LXv7KTIcw9R5Ju9l7BlqQIDwMEBWwuSRJm9j/teGAKtVorBIMTOTmrJ7eR5UOJL4+gownzuGZkuhfV19m2TDEwYsVkAaLepXtRopIhjapI//s/+n9h45AHKQ5L46M8biPwU2dkQ/X/r37QVU0Dh4cMYOzvkBXJ7rOU7vvsuwvm5j+fPa6jVKMknASdZ6HMcHYXGF1NotbSdb1LI2d4mcmFrK8Xz54Thv3oVWmQkSfVYlQaoU5+mnlFh4sHW15mgoZQy55CgD1otwt0lyeBagRCQ9Y1IlV4vt1wLLEYwyZLnDE4nE2XvRRQxVqjXNfb3E0QRSsUId12s13PrO7o2GHh49Sq0AT5Vjzg+RP4uDCkFJwSLy4iktSYC4uwstPOcxascnqeuvTeKtC0+DgZELfR6AY6PfQOrz7G9nRoZuNwW47a3UxweJkbe7W6yj+/DPgXrd7SPJVgPw9BscJnpeeHrhLN4prejYEkPQxIuNBq5JYyj5JtnJ5jb8+kGcAKHFmmH74OdmNAgZizfhzwVFye2A7xN8COEHVyMGFALjLisU0+Tqjuh2KFxDOZGu7Go5IvluTJEVrllaRUTuL173DAsFtVWq5x5lCw6ILJ4PMcgyE1FoQj6F7UdyO/r6yl2dtJr8CLXpIdfntmyAFRIRbRWaDbza8zmVTSGUhpra/m1BTVJ1EISIbn2NGXySHrclznGy5xl9x4IwZwQgMh7JJBettgvQ39U31O9V9X2jk/29vYhQqmZYC1QP+5PCTjf9tnfBk1x3+YGxNL3u+q7lyW2qoE0iXc00rRczRCddwa8BZN1kaAt0EAMJrRZdz8cHoeP0dKUAXPVBIqeZSSjCkO+p9udlarnyz7v9mxrzX1LAj2gqI6vr6e4ugpsVY2BqLZkU+vrmTkfQs2rxKhuMCFzRNbnKJL+dEpcAcDTp3MTaNE4jnLLVUOUBLWfFyX8f/ObyJKlATA9zxrr64T0vn7NqrpSwO5ugoOD2Cbir64C/OpXNbx5QzRes6mhdW6Y4RkoUkItMlJksL3WacprHAwo66W1wpMnc2xvU+aKQVlqidKShLryRENEaDZTPHkyA6AseWytlkNrZaTWWDAYjXzT081jNZu5bW0QfyDLFF69Ihw7CGAh0OxvZ+De6eT42c+mNvHNlj3PJNhgfY/8P/nnCJMZWusedlpDrNVn6F0Aaa2B8T/6bwEgO3+nQ1/38pJkzEKQ9s03IY6O2I9NWHaGR48SQ7bHBMNwCJyeklgOoO/hebAs4mGoUK9n+PM/b1pYe5ZRZm1zkz3N3S7RCLWatgmJMAT29hKEocbz51Gp/TCKCHtvtTKcnrJ9I01RQsK63A+zGQNuKcqxcAF0OhppGqPXC5FlsIiC7W0GyZ7H4H9z83b8Cm7BRPYVaQsYDgOLYN3eLpIh0kZaq+UreRxmM2USFJ5BNwR2fq6vl33Cep0FHilmEWVK/1HY9JvN3JAz836329pKDAvi1OWy+JDsEwz+jvaxBOsuGUEVer7IUZvPFd68CSyERxjMNzbS0kaaZYVsRRViI/rngHv8ctXe9wlnERmUKpz7QzBm1tjL40Kfq7YI+r3MJOvo9lZHkbZwdVaeA5M4iUyQmdoAXe5hEOiFPdyLYfc8vmiySsAnyYNlJn1D8zkTDZRPKeas9Oe5LPVS+Tg7C0rVj1VBQRWOL2OK0jHsmRqPmbWnBubyc6YD4TmSHtpABYu+qQJaBtsHt76eIMu8lc/xNrIgvG/fH9GVjNGqBOJtkgrN5u2JFL9PE4iscCSkafG72G3RN8Dqtp3qax9aZV3Oz0X/sBVFm+QpE0wiW3eTVa950bxcFbzfphXqpm1d2HUlKBYE07vaJ4K5H8ayDBa+7prIm7nP1q3w+T7/Xq8Tpn12lq78vDBJV8eYW3mTpCwAA5mGDabFxxASKLe1QGsYTe3yRUgBot9nwr3TyeH7Gn/2Zw2kKeWaDg+L83aJZIWfRQIHyrQyIBmNyBzN/mZWwPf2Eiv1SCizttwBzSaRBmtrOc7OmDAQuPNw6CFJgCjint1q5UbKinuaILW01ogiFhCYFGBiaj7nvliva/zsZzMMh/xbEOSGUZ7QbOlbn88VdnczU+UN0OnkmM0Se21ChDaZKJycRHaf2d5OMRoxoMxzBvInJwHGYx+dTgqA1dXRiDrZDPQ97O3F2NzMTaKFetZnZ6EJuHLj39BH7XQ02m3jq74+gf7P/hwX3iYu8w14cYwtXMD/Bz9DsrVj4fdZBqMLz/utNXvfHzyI8aMfzbG+ri2zvMDlv/kmQq/nW9lMKcIAyiALCmg4AHz2WYxGg2pBYShyvXye9XqGqysfL19GOD0tk7T4vsb2dgbfL9CSxfxgQqrbzdHvKySJZ9sUo0gg6eQekuTWeMz75/tMtgTBHPv72Y3kvoKGqe7Brk2nHIMXF4Gd44IckSROFJXbS9xErLTHCErVvV5h2ZeCjQT29IGLhIZ7/gLHT1Nl53WjkdmE2mTChIagA6LofmHrItN33/aJYO6O9rEE60EQ4LvvAoxGMlh1qQrnTooyBLz43fOuZ68BbmRhiKXs3otMCLqyjJNPsqGUKitg5m5A5QZn8prvU6+z2y2CXoEaj8dlOSaxRQ78TRYE75doTzL+06m6Rrrm+8yyL5JoSFNl9UHFqk6MICCazQxxTOfE87RNDlSZ5asVciFqkUVUdGaLCj4ZNqXy7aIugILxXp6fUryXkuGV9zNpUIwhlw1ceuHp3EsfVG4dkkXXLSboD9mMF917gAv6aFSMb0kshaFGq1WgEdjmUdw0aUtwk0xraxlaLXHW3k1aQ+C7QvQnQeuqoOy2wZjWvCeTiVr4d/f/i87L82CTbfdtRWsK1yD5fVVQV608y726a+X5Y5L/Eqk6kZSRKvHfVPuYnt27mNvvvQzWX10PBZ3B/UKZoEQ5r5d/l1Yq18i4XbR7yXE9r+jhXLQOE36u7NotFVexIGBg2mySV2cy8XBxQWK2csUsW4jWEiIrQt99+x7KwlJ7WTkLAAnZFrf8VfdAQaa12xmGQw/HxxEAjcPDGHnO3tbqniAwcMKyc3te87nC5WVg5NRIxNXtsm95NAoM9w0loKTtbHubElnn5wG+/jrCeMyqvgR147FnqqFkuO52iySYBMjTKauJwyGDlosLVhbfvAlMpZOwaUrA+tjeTiyjfDGVPHQ6mQmUuCdmGeB5bMO7uJDqNnB0FCLPlT2X6bRIJk4mXkmJg7rg7IUWOa29PX6pMLsLD8DFRWhk8Ijck+IGUZyqhEgbDtljH16eY+P5r9AanSPfWMP8d34H/c4+5nPP6IjntnrOdr8U29sptGbwLYme4dDDixeh6dGGhe/X6xl8nwn/Bw8S4yuxl/3NG44VYTHvdHIbEA+HnuU9oJxgisPDFF98MbdInwIFRD+cOt/0kVlA4bkMhz7W1lLbV+/eg7OzoOQrUa4uQaNR+Chal3vHF5n4kaMRnwMr8Z7hSKIfT19JY2cnxcbG9Sq5tHdI66s87+vv49wUjiJZl7a3C+JH13xf4+nTua3eC3+FkANLvHN1RW6DtTU+A1F9+tjsk3TbHe1jCdbrJo00m81Wvs8NDNyqlvy+yKbTIovsGhf168+WPTHlKqBkn10opCtTUqstZhpPEmbwZLK7FShXzqH6uW43LxHBUaeyCFxvGpLfZxWyiooQeB+g7e/uP3kdKMiJRBpPnDRh85bgxr2uMGQ2tnqNhcPEHj5JKojTWCUgkiy+9K9JsKsUkGWscFMPlJwFNzG4V4PP2YzOHp0wN5gtgjSgYC6fTkmW41aR3bHmfockJgBWaZj44b0DyPvAAFWZtgRhCFV2fCvFxTQI4lL7hLQYRBE37nb7Zp4FJtAYqLIPXZJoqz/3vk2QNdIa4VrV4a2OJ/m759GZled4F6set4A2uwE+7hzA3na9/GTvbsug/fK7+3xXtQJIkjeKIuPIrkZFLG/jERIkALheyXLN7bl0jmzPdRn/S/kYb7efeJ42CS1+jyAtyv8vf0aS3/IetlldDwjkc4uS88tIPPOca4EojeQ592ZW4zwL6xUT6KsQtdVqZTRLs5ljZye5xmfDBCPbs3q9AJMJoeEMJHITuOWV6jid8yShA8/+dGWDodHoemuUqMQoRV/m1avInvf6emrItRi8bG8TyjwasRd3MPBNyyCPc3oawveZ9AUIAa7VGLRI4Cfa5oIyfPIkwWDAAHs2A/7sz+qYzz1sbaU4Po4wnxctYVJtr9eF3dqzcnNxXMD2Wy0G7nHMfa3VIrRdeps3NhigJgnw+jWrx80mybOYVOCzEBQh+9w91OvUSP/2W43plJVmwpwVRiNWe9fWMitnVqtl+PrrOr76qobz8wBRlGNjI8XamjbEa5md50TSeZjPuWf+/u/PsLHBZD9lWoV5nkF3v+/j+JgVY+ElCAIij9pttoGOx56F8o/H9E8ePyYD/ps37Em/uvJwfh4iDDXiGDg7o+Te7m5seqk1xBdgIMj7Lr5GFAHPnk3xR380s2RpIjcotrWVYnc3LY1vaUWkf8Y/ZBkMgZ1nCwhEA/LZK0W4/XTq26q0WLNJIjqiTYrxDwBhSN8ySUgu2G5nMO6mKaAoqwYh/joLV0R4zOdMxihVVkRatOcLvLy61ilFkkKAXErDoW8liicTH2trWYlUTgjbfL/oOZd71O8H6HZTDIc+6nX6AaMRERutFseBJHiEl+l9mfiBSaLeS2X9ffkon4L1H9h8n3Cr2azIICn19r0Ywo7OiuviQe8yucr3AdwQqsHJTZVrSQhINdA9HrC4ariMlMyt4Mu1yGIkvcpuD7WbAHAZLBcFI43GYkKNqrnSV4t6NcuVdd8Eo5n9mzgB7v/FwSz+Lwy32t5XeZ1MqkWvKJNzquQILTofN5gFyqzyy0zrMiQ9y7hwC+OqOA7iyEnSYVEFxW01kMQSe7IoAyJVRgnSpA9KnkeWKRNYa4MiKaqRXMC1TR6I08oAoKieS++dJIiWLfq+7xvkiL7WZsCMPZ3YyaSQAxHSIrdK325n6HQ0Go2iei/PgXDHDN+3tNl9WtXJv4tV1x6t+Tyl5eFtN2PfF+Ki+99kq0auhDLMn1KJxVy4zX2R9xTHKx9z2b1Y1gteHPf9eDTy7NwEi8glun3l15OGZaSF/C7v/T6f3cdmWhcVaNl3lFrOkbG+XmaGdo+zKJk7n8P2WxdBPdvoRiPvGrwXYHJ4bS2H73N/T5KstL7ytSKZf3QUIk05xpmIy7G/n5q+a0KXq0UC2TeiiJsm35NbnXXhh5nNPPR6rHb6PvtXyeej0O1mNkktpH9y7MHAN5VjD5ubrHRJqxQDhASzGaHPhEHz+4dDMo8LeiwIYO5TYKDvJPqaToHRSBlkGKHZlGXNsL2d4uCA30m9Z41mk0Gz1uzlffAgxnyu8M03ES4uQmxupvjsswRKscd+NiNv0Zs3Ad68CdFqkXlfCi7iEykFHB0FOD7mMzg/DxCGGv1+iNnMw+ZmbKvxYaht1ZuSZsDPf96yBGL7+wkePkywvZ3C9wXNJig4FhiurtjffngYI0lYJRf0B6VUtfVX2PcOBAGTQlIcGI8JC59M+D6Bq7PoQEb6yYTPwfNgAtHc9PTznh8czPH556l53hqtlrYwft53js2NDY6jzc20RCBIKHRq2zm0LhJhLnqjLJmmbVErSWASQxw/7rFJkMYx2mpp0/pQJisEeF+3trKSvyA+ytmZMooE5TYWqYAzKaRta4n41wJrr64NFxcF75EYkxnKtnfK82ahThnVIm0UAzILR5frGA7LksNyDJE89jxtEisMjkXGcG0tu9ZGl6a4dn63MYkdFiGW5HoAmIQQk2nr6+9Huu197XOfgvUf2Or1Os7OPJyepiUocLXPWikG0+L4LK48FIGpW72+jWm9mMV1UV/buxjhytcZXOVvy75HYD55XmasBwqYNHuoOHGLChD7RuP4Ooxda8KjGo3MwvCUEhg6N+hFBGvUwszRaNRMpWhxb8oiZ35VIkO+nxuatgHu2yRtpGJf/Z5FQRR7qxazaErm2F1ARTJETNiBpVJ6E6v7bUgHJXEgiQtpRSADdBGopCnMcYovlGsKgtxmcV2LopqpmMxQr2tD7iLVj+vnojWsNqrAQ5noUBZiJkENERAaaVpUFhqNIiu+yOSZBIG2SaV6XZuxWW4p+JDMDT5lzkniZ9FcdttJqnYTtF8siiKTREhsYCDfKYRRIiPjmgS+nAPq2us8BzqK5i/WSXeDT7e6eVsrgl/O7QIe/zeLIO1jQ0VIglQqWMts1Tq/KoHtvj6fF2gkN/HHwAclWPqi/V8IAWXdF9SRtLGRpC0rsZ9zzWGle3MzK62TbmtUFNWMWswcvq8Rx54h+vIwGAQ4P/cBKGxuJmi3C64NSUQLwqtACxTXnyQkRqWe8nUN9/lcWONJBHZ2FhgkFmy1sdtNTS+rxuVlZKWyBOmkNWz1zr13PCZbzno9z8KiAeDqyjNBtSReU/R6oQnSffzmN6FZBxT+zt8Z4w//cGbWCQYccexZ/XEWG2CDK4CVyfncw6tXAdrtHA8epHj4MEGtlpvEhI/LSw9v3oQQubidndQmJWTdot54gPE4QKNB1vPJRIhuFbpdZSTvEqyvZ1hbYwX9z/+8jsEgsK1zDx/O0WgI07syvdgCtw9MEUXbhNLOTo7d3di074lcbEFKG0XCpZRBa435nO0AW1s5Li+ZHCJBLu+hUhr9vm/bAPf3Uzx9OkcQKDSbGc7PQ3zzTWT7odfWUhPoM0FTr2sbAI7HCq9fRzaJIfDzbpf8Pc1mhqOj0PqHUhV3GcvdMbi+ntnrlnk5m7FlYTZjISIM2RPuEhhGERUAJFGwzIgm8EqJuVotMsi2CcKQSQY5hiBjpMAThpy/rkkiq5jPogikHF8XpmhBdIW0AFxesuWj0SAypVbTtoWH8na+becBCN33fY3XrwMkiWeLNY1GbpEhi/gmVpkL33eTAEnChB4TMnyvoH8FgSv35TqatIwEbjY1njy5/2D9U2X9jvaxBOu+TwiN76e24iQ9VO6mKlInkjkTyPD7YEPk5g+TWVY4Pw9LVWZWGnMLs8lzCawWOzWrqtPV1xc561KtJmsme6SXOePiXIszHIZcKJbJbVVZz91zXoQK0LrQuPd938ibvX0GjRWnAr3wPuE/y0x6HSV7XLXqfZAMsUsaxMoBncZeb3EE0mplWF8vJD/ep7l99dUElO/7JuAj+6gEm3HsmT5qGU/Xgzo30CMRDZ0bqbjy+AXMGygY88WYgBFHkp8terdJOCMbklR3FpMkFoGlXLPbaiFjmMy3eQnR4AYE1UBCNlt3Q2R/WQHxZTJE20pWrUYJqyhCqY1FzuO+jGgWDd/P7HdLhVHWqzi+WXlikb0t7FlMEjXSk/pJnq9sqyoOkviR3llJygG3Qy/cl1VREAK5l37vPK8iI4A892ySmHMWmM/90vnLP3KZePY65T3sny5fqMDiSfJXyLfymMomKoEiOTmdkmg0jpUJYrivyPoiJG5ZhlKyVBL98r3ua0pRH3w81gYF6EEpkrdtbmb4/PP5NaRVdc9wCwjyNwmAWq3cJiXcZ/3iRYh+n0HrfE4ZrB//eIZGIzdBll9CczWbmWHQhiFIkwpekTjodjO735+dBfj1r2s4O/MxGrGvuFbjM3z0aI6DA+pyf/ddhONjH19/TamyTkfjX//XB3j6lOO41yML9t5eglqtCFSnUw9nZ74tGPg+/QYS6CmkqYfDw8Tuo/0+tasvLjwTTBCZICjEXs9DHPN+nJ8HtjBTr2u8eeNjOvUNg3yO7e0EjYZCvc578Pq1j37fx/PnAdJUYW0tN6zvvJfsn2fRIo4ZlKWpZ5VmGg0mPR48SLG7m1jkpgQ+Au+WfnnfJ3na+XmI8Vjh8rJAbqytZWg0SCKYJMpWgjc3BYqfYzz2DJRa47vv6uh0MnQ6KZKE37O9naDb1XZeXV76eP06gtb824MHKcZjBnDSCsf5ViQigoDzr93OrkkvDoc+Li8VTk8Z9AsiTOZHt0uJOqmGK1WQ7i5bVwRCL+NWzl3aJcRPBa6vlb2ey9lTFO7cttXZTNnnIgULsSQpEhfluc6g3OV12NxkImQ04hiVBLXnCdEyYfjffstilfhOu7tFDLO+Xkbpsle9LEUs37/Iz3Z11901IQxzi0iVvwn53odS0PhUWb+jfSzBer1ex9WVh9GoyPAsu+0ymDlBC2ZGt6ro+8wWiTMuGqWzmUK1+uges2pu9Uc2UncyUYu8mI0SBDQa+feml30by3NYlvK3MYHiLaqA+X4do9HiZ7cs6eD+TWsYEhVtgwx5/bYJjlUmJDbSHnBflqZlUqKqLfouJiJ0SYN1kbXbGQ4OklvBx2UDlqBWqrs3Xet9sXVK0qZQAoB1wuVftQImG5EQRdEZF2Z9zimXM8K91up1Levzd79TqlqSiJDstASWgiqQ+S3/innPgzEZITC1InBxr0UczHa70J2+b5P+2Zv6nl1bhUS6T5N77Y4B4N2TAHe1RYml6t9lbIgDmyQSeMp77v+8fD8E4ZWJOT97RiC0nugFaZepJpGkV5bJLSFsWz3fJfEk75VnIlW3Zc6iQP2ZDMptn7kkqVghzkuJuSAoepvDUNu+SHdeeR6JV+mUk/RL9qZF89cNHqRlR97HhKPC2VmxWDYaDHgkUS0mY1M+73nKSoTJ9wiMeTolgZzcq9mMc65ej7G3l+DRo2SljJMgEt68CRcmgOWaWLFDqfd+MlG4uAjM2kr48OPHM9RqRTI0CBjwbW6yF52941w7m80CSlyrcS0CiiTJmzc+vv66jsmE1fn9/QSHh4nRP4eRnfLw+nWIy0sPL17UcHnJ4OrJkzk+/zxBp5NjOCQR2+5ugu3tDI1Gjtev2RNPHW+u5zs7iYFfZ8jzHEdHNXgeK87TqYfBwLNItSxTVpqr26VW99WVwsVFiONj8v8Qws/k6GjkG7+hSMIAGuNxYFFo4zEr2M0mx9zjx3Ps7JAErtPRiCLe1LOzECcnAahi4WF9PbVzcX2dUmvtdvFerTlXLy48UxAhOmE8ZuJjPCZqYW0tR6eTYnMzw+Wlj6MjShV3OhobGwmAQkVkMqEPFAS5kQxkK8Xjx4klIltbY3LhzZvAEh1mGVUADg8TOzeEjC6KmKAR3ogCzURfRN7/4kVUmoetVo6NjQwPH9KXdpGKYltb19tGhcG+1ytQqvIda2skI1zF6i6WJE1MJsr6KLVajosLH+fngUlkKls4kiRCFOV2PZdrFqvVCmg8UYHFekIuBlzzkd3kwWDg4/LSt9D4MCTiVmshYsxX7nO8pxzzbtJh2b4sClRVP1AKibKeV/lRFn3vMpMg/77tU2X9jvaxBOu+z4nt9qy/iyUJFx5xzEmOkpusVzFA35fz6EqzlGEoi8lvPnSbzxWGQ2+h4+t5Rc/6okWH72HGv0rGAxRwKmENdV+/y/NhkFT+DgkcSTJWTtLcdGxBSiwKOuT7xGEQ2OZNx5X+Nfc+LgqaxmOFszPCHqUy5G460osPwGTbc1tdZY/76msDrmc+5V4tq8reJXFyl2cnxyHEXki4Frc+LKqAu4yzrrG/P3dUAeyn0GwWVWhCfItnvIyo8rYmhEmjUWATAsuC47cNmH2fF5RlheMhEPVFbSPCxi4BoDhrRbWgqGACBXJAzK1CuK/dZmuUPl1CkW9/ocsCSPf/rlWTM25SCCiCMPcfn7WyKA+XT2KVufDou/bMK+WZ9XIxl0ZxHS6RHCAIkgLNUaCnFu0n1xNkRaWYP2933redy0lSEJ5JckA0w121DTF5Lm7wKd8jUNPq+7VmwK4UYasSkG9tpTg4KBxOpQpeCJfEddkeNJko/OY3NYvgkUqf/A4AGxsae3sZtM5KnxuNfIhEIeDKFfIYBwcx6vXF7XVyXtTwFti3j6srz8DGPTx9OsfaWm4rdUFQIOFECaXZ1KaKrG1FkEGFwsWFj9evA/zlX9ZxdhZaDfG/+3en2Npi/6302l9defjqq5rha/FwdBRgNvPx4EGCP/qjqYGhZ6YljIHHfK7w8mXN8txsbjKQ7nQyI2PF4OTlSxLCeR5lslghZ5DLvVkbtEKRQBO9aq2Z0BFkQhzzfSJ1mqYwAWl6jfiRiiDAT386taz7QaBxfBzg5CREr8f9uN3WePAgxtOnCSYTnnezSbjwixchLi8D9Pu+RZM0GtyXmXRITMLJQ72e2Yo9wH18OGTPfauVGZkwfq7f9yyiwPPYoz4YkGX//DzAw4cJ6vUcSaJwfCyqO1wTJhNl9M41fvrT2UJm89HIuybnK0Rnacq/S3uZ55EfQJAtWrO9QPgjyMHAarr8XfTB3V5toCCnFaUdd6yv2jNmMyYDej0PV1cBmk2gXtfI89y0oChsbHAMcu9mK4T0jouySquV2cSb+91pynmhFNeRWq1ACkgFW8ZOkgCDQWC4e0gU2Wxy7oQhFRHqddh2E1E9Kl/f9UKFJFBuKsQIqldIAUtHVQV/ivx0iWrlOYiU3KLitqxXjcannvUPwj6WYP376OMTmFCWKQvDWQbbeV/B/CKSDICTSzbZj81u8+zYe1MmCZLgsAiGy06wSPO4r7F/SS9k5hYisEUyG1WTjWV5MMBguNPJDLRZY1GVVGDmVW34u1j1PIQJmMENyVtGI8+SzIkcjcgTSf9zNQhst1l1kc1S5EDk/7VazWSli8q6EMgJvOpjNoHHug43UHA7SLVPAjc3IK2OC+FQaDazEuxM9Gu/7+TbojnHHlFlN/giSJWEhmerNoJ2kKBKehXFwXHvC/8tHtTu2OVcLV4Xk2qrSNTwM8WcFnO/w00iCPRQgpoiueCeR3lBrVZxBcLtSg1Jsk3esygh8T5MEC2z2dxWyeXey+8FWuP+TkiIKuVnVVlk2bUvWtMuL+mkEwXFA5Czo1iXJZEgFXbpvxSNaIHiVq/TfS4S9AIkzmK1Vvqvq4zqxedXrcP9PqWi3IpfGOZ4+jQBQDkruTfimAPl9VLOSaSuAM6j83PfJqZIkgqbKO50cgu9Pz4OLGcFz5VV1PHYR7vNXuSDg4IFPcsIH5a+YmqhF0lcgf32eh6Gw8DwhMASwa2t5fi935vib/2tubkHhOKyHzzCt9+GqNc1hkNCfi8ufKyvp/jjPx7jD/9wjiBgr2/BYp3j/Dy0wU6WKXPfWPl0ielevyYTO9FtMAnoHFrLHs/7TEZ0Bl8iHddu5zaw2djITK8x79l47CNJiudKv05jMqGm+t5egh/9KEarlaFWC/HyZYjnz/ndklR4/DjBwUGMLPPQ7yscHUUWNg5wjx2PPWxvJ9jaIus8OTtyUAKOyXf6JRnS1MP5eSEbmOfaBPawgb2wh19ekkl8NlN4+TLCaESEwcZGhsnEx9ZWagP1KMrx6FFqftc28TSflwPEalAex6oUfEtiQs6B953vn8+pbS7nnKbKFgGGQ4XJxLd8C3K8ToeJiWYzL+2xy6rFYkLIPJ8zSWSOaAkVlaIEWhjWDDldDM8r0AHF/C/8dpcLRcgXp1MmwE5PA5vQlsSXWzGXdSEMmWh4/jyyY0305pk0WHyvPY/3wlUUElsUPq7aZ2TPlbZEuaa32Z+CoCCdrn7HYFCQUW5sfKqs/+D2sQTrvi+Qoe9fe3Y49BZCboHlk+O+g3npxV/UY9rp3I2UYpEVjry3sg/yLtVTMbeyfhtznSnpa5Wq8E33U6S4qgGYe663eSby/SKnIxupmKgJEK4kxEeeldNZthEtchLlPS6B26pAmJXlglxNPh/HRdX7NtfX75MAKUn4/jSFgavzBIPAM8FnkSmX7/c8aud2u9IbdZ306G+aVdElHBdFa40b2ItJwokM/vlCZ0p6FiVIAZYHyFpzA67XPQPPvx1Xh+/T2XD79D9Uk2q4q8ct8GX3tY/V3IqDSJkVP1F67T7ke5ahi4Dr61c1WeXKGUnSMI49y/pMJ/DmE5TKPivh1ddxbV2RQECqzWmqLNzalTBdVanLMtigz61MtdsZ9vc5b4ZDH0dHgU181moaDx/G5j4oy3o9mynM5+xz7velyq9MtQ+YzXxb4XN768djVi6FmFPWVhK6acznwNdf15GmwNOnMT7/nN/daOQ4OSkkXyXRKuNhNgNevoxAmSwiAEYjH+029c9JGpfj2bM5Dg8T9Hqsyl5eevj66zqyTOPNmwi1msZsxoBgMGBV8+AgxaNHDGBrtQwXFwFevowMo7isVRpKeQZ2K/3GrH7W62S3Ho/5oHd2Yvi+ws5OivX13BKqsRc9Rq8X4PnzCGdnlEibzxlgPnlC2PfZGa+n0dBYW0vx3XcRADJqz+cwBLgKe3sptrYSbG/nVkHm1asISSKtVgrr64mRQmNgNZkwUPY8Juf39iRpoCwCYGsrM8g/+gL9fmAqmBrjcdGuRUJVGKUArucsKjD4nc18XFxQMo9jWJv+bR87OzG2tnI8eJAYvqEcaVqMW/ELqSTCVjrfJ+xe2P7JY6QtmiTPOTfFX1GqTM7MXvhiXsRx0T4nyTxB8WxtpXdq62QFO7Dfm6ZAr0f/ttfzTUDOpNvDh4nVJZfrElh2FHlYX88wGulrCAFJbrpkreQZIDqBfeX00/f2KD83nRaSeCzWUQ2AcyG3ffeHhzHabVHYudveKdXsu6DIFvnhlL17u/16MlEWgbTou9xeeCJt7j9Y/1RZv6N9LMF6vV7HfK5wfJyUXt/cvBku8j5sPr9OEKZU0Z8zn6uSVmTVtIZ1zufzm3sKq5913ysVjEUw30UMm4ucL2EXlcD4PiuBPwS7sTig02m5x/0un5dNhAFXmWSoGri6hGQ3ZUVd+B03DKkocCMnz8LdPPDbVOx9v9CDv01QHYZ1XF35GI/n146dpiQeEomgKNKmn7eobBQ/tYEalgnbBLJYJUe5jS27VrdS97YKAXexJCmq8+65LasiyP/F5HXR260aexDLiapFSScJJKiDDAAN04sZvxWJ3Cp7G3TIfR7XheS7+trV34VR+/uohktQWcDrC54CoPhdKsHV/7u2iCuiSMYJU3ERBLtQ++rv7uf52uLzl3kpDrmgmYrqsjZBbUHUBsiakts2CpFKkjm47PsGAx9VKgxhBi/GOa+z2y0qP4Sncr8TwtHt7fTGuS7SUEyo+eYatEU+uW09aUpochxTnmx/P8HGRlEZzDLYpJyM2Votx9oaK+6NxsTeT6W01Vt21wFKPTKgnEw8U8krJmqaanz5ZQNhmOPzz+eo1zW+/LJuHfzp1MPGRop6XZsAj+twu53Z9UiKBdTNZm80K/iZPYZwqqSpwvm5h7OzEN1uhqsrwozHY9k7FRqNHIeHMRoNBovTKSvpvq+xu5tgdzdFvc7eXKUIB55OfcsGPpt5ODpiP3G3S6K27e3Eorm++aZmWcO/+qqGfj+w5725mdrnQN++gMTHsTLoIA9XVx52d8l4L6R8olkvLWaShE8SQqi1Bup1ss0nSYputyArazSY0Ijjgly31eJYEGh3v+/D93PrE0r7SBxr9HqEas/nfA7S5hiGPH6SKGxuEp23sZGi2Uzx5k1kyQn39hI8eRJD9NTFSCLnWcLdjY3MsqVXTXS9h0OSIEvymH32mUm0FeS30vcvhHJizSbRCIt8HK0L7h8hKez1rhOl5TmRo+Kbag18911k5+Z06iMI5JkIKo1rgNuuIuutcLMEwexaspvojULWWEj5ul322ct7JUEgBIK818qSQYahxtOnc+S5MomkAnHzNiYSystknt/V5FkCi4P8OOZcWSVZrNRy5aP7sk+V9TvaxxKsL8rCaF30XYmJZMUyE6dHKqH36cjKQlQ9ZrtdwHFcp4mQb30NUiyLEXuX3r46zx7BQrrCPXa3++7V+Nta9dkJ7FZ0Z6u2KtipBijLMoMAjLTcu+lVv0/LMi6aQprzLnabQMeFMVfleRZ9VnSD83xx5lM+KzqhVROJMHdTkr59rYtNdNm5M8DPVmaOualTZiYIqkR6ZYSIVA+lT/xtkBZVCwJYJulVG58cY9FxgaKfvFBoKPrLbmvijLLqsxjNsqpKusgkofKhVNtl7LjQfLeKKb+7f39f5yEcCpIoFZLB61D6co+/KCIIlLSaUFCKsFnhGxAj6mYxwogtHQVB6DKY5aLX5fvr9dzMN5JKVQlT3wbBlSTsiXa/Vwguq8eSaryLUpLzFJmk6VSZdWXx983nbGGReyISZtKKIq1CQpzX7VLn2yWhlZ7tNF08+Xx/MWpOKd9oT5efmyCmGDDAVPUKThEXrvuXf1mzXDZbW2RkJ8kbCcxYgS0SJtK3SvZ9QCllpNCELBM4O/NBckRgMglAVRYFQBvSNt8ox+QW+qoUA/AgYMD47BkJ4Mja7iHPNQ4OEpv8BZTpv08xGHD8MtFLmPvpKReQBw8S/P7vz5CmwFdf1TEYkGyNMGoFrZmwefqUBG/b2zGOjiLkOV8nCa4G4CGKNL75htJiGxvUBSfUWKPTEU6CHPM5kR6+rw0iI7f77cYGx/vaGrCzkyFNsxLXgTxjVsX5HyrCaLx6VcN4zMp0r+ebRA0TV0QvlMm/JMgXlZckKebAr38dYTRiL/pPfzpDt8uKuPiFIk16dsa++CyjTJ07Blut3I4poND1ljkkvrHWwLffhnj9OjLjltcn5/XgQWL7zpdZklAW7fIysMcXWUTOXxj4v7LXStSNrMvF3N7ZSdBssoWg22VypeBGKdYF2bNHI88muERn/fy8uBGy1wu5XxAw2Bc/RNot6YOwyl2racSmLbvTobZ4tZVSpIh/yL3QhacD131lIevsdrMSwtM1SdJwjymKDctIU98Xwdynyvod7WMJ1uv1Or75JkCvl5r/56VMtJgQULjm9noTPvL99t0OBuVebDmPRSyZrrnZTvkMUK5a1ut5qQ/wttbvL+7dJsQoNVq01+W8VgU4y/4WRWWddalEVCuGn+z9WtHr7lldzlX2NmzwbtZbdOJZ+WC2unDAla0CCmTQ9wtJr/X1DCIbJDDCZRXDJBGSoSJ4ryZohBG+3S504pdVvJVa3PrwvkwqrRK8FXJXbx9s3geTvyTVKF1VdobeZs7elBwR0kBh1xf2dTcgqdqq8yCBWcE67z5rGUvFOZWRC9UWg8WJGtGrv9s+EgQooT8AzkuRTgrDmqmA3P7ZeR5sle0uNhopQ4olTPfKEhy5Y7+a3BLnXP4lCStZVQZj6e912dSlsrQ4QadtNWc69WwiYX09hecpg0IinPjiIjAINiHD8hEElHeC4SDY3U2wvi7rizb9xNqwsAeWIV5Y0+WaXVboRSZEYgVKQiEIaqY6G2M85vn0+76tOtbruUkA6FKb1nDo4de/rmM49IyiirZJGWmPCQKpiGvLp8P1QaNeJ6Lh4iLA69ehkeHkXp4kCtvbiSEs03ZNJQJKqsEhRN/9yZM5trYY2O7tpXjwILGkZsMh26IAhSBgEMwANUO/z6SCkKOengaIogz9fojNzRSffTZHlnmG+M4zkmdAmpK5fWMjxdOnqZkH7Itvt9mDfnHh4eQksgRmQIbplIFmp5Pg4cPUJlgajRyDQWD+lpv5xQo3dbZTtFr6Guv3cNjEYOAhy+ao1TTOzgJLLEapL4XRiGRi/T6vkQGRsvO41eL9TBLKeHU6OZrNrIRUkZ7qINAl5vQf/WiGWg2mnUPbYo3vC5Ei5+XWFvXIF83zy8sytLrZzHF6GlgZQUCQYD52dhI8fpyU5mB1L0wS4Pg4NPNQm/coO083NzO02zn6fSbjJBHFIF3j4EA03oXBn4RyOztpqRdcSBiBAl04mymzxrCgIQnRyYT3QYgDpbLebE4szwwgATrnCxE7BWfR5ibHixDI8Tmtnu/3beIfyT4vCcw4Lnx+Qe5Ie2JR/c9Qq13fT/OcSR0hx72NLSfZ5fF7PR9RpN8Lwdynyvod7WMJ1kOTnkwMY4hsDEDhPG5vX+/P1Jqbuuv0uqQvP5RJD3o1qUQZj5szTbKoXV6yF62oIFadTG2IfW5mmBfHo9/3LTlWAecrFui7BjDVZ/fJPg572+d2U09WdZMRVmj5KS0kkoyq1VbD3judQn5F4IkupNwNLCgZthxRE4ZMIklSw63MLwpYlv2+qHJfVNGLarxUYYtzdS902ety3DLTuKvzWqvRgcrzFG6ll+97fzB2l9ndRTytgmqLUyK9o5KwEPZaITy763lLYlYSQMsY0a9X58tkemVivet7vVQnhIF62bhYZRx3InEWGFREWkrklPvzi/O6Ldv8eHwdycRqW2bZ42+zts9mwGTil4jo4pjEnlWEmLCTC3u3JAQWrQ3DobL3kP2YvHknJ0Xfr4zlOFY2ObG+ntsEX1WzWBzfPFcmQU04cRhSm/vgoKhOSmAwnxeJHULuiwREkrD/XOavnBN7lSOTBM1tEl2u373facr18a//uoYXLyIoxap5GAKNBhMFEiANBr4lMRPUTauVGzk24OQkshVYfmeGtTXyiUiP+NFRiC+/rNtgsdNJ8fp1hEaD6jd/5+9MEATKQLlZVd7YyDAYEAo/mXhoNDI0mwz2qUcP8wwLsrc0ZfU7SRhwBgGwt5dgPCa8PsuA01MfYcg+5PX1zEjfMfil9B+D2KOj0Erebm/H2Ntj0J2mDFa2tjJMpz7292NEEYPE9fXMVs5FvQNggLu/zyKP2544Gnl49Yp7nO8HJvhOkaZ87peXAS4ufHtsuSdbWyni2LOtXXymvOa1tczK3UnCZX09MxV2je++i/D6Nb/z8ePYVqPZZpAZ1IeyEHytpT9bGQSbZ+d+v88k6nDoodcL0GqxMj4aFS0Xu7tki5eWGfa0F8o0w2FBJipGlBD/7e0laLWE88CD1hq9nm+YzUUlg2PB93NTkde4ugrtMet1BsNMBGpzvwuyt2aTn5PEHJN72iYRxS9IU7ZiSKDPRHJk5m6Gbjcrce6w99xDt5uZtYCEhPO5ZwjfVscAeX59PXSRcLyP2rLOu2vaon1Ca0Ec+M5eDYMoKXgA1tZy2woAwLYX7e6W15L7MK1hEm1FQsltZ1xbSw3D/f1X1t9XXPApWP+B7aZKUZ4zKHcfRbudLcwyTSYehsMCRgLcXOV+W5PqosB9bzIhqRITR9bNpspiyp6em2E5SQJL0LHMxLFa1f+fJGWmejcI8X3qSS5ySu9Lr/uTvX9zodRRFJkg6m5Z1ffdk+VakigDX+X/b6r6EvKYLZ3rMv+qVdy7VJOFTGnZdxQkQ15JQki+Z5UtQ7S4ZHZxrBAEkSG3SmxAR6e+qDAKSZkb7FUrKIsTCcU6VA1uPU/ZipB81iXXW2VvW7G/Tc/2KpMADNAGWlnA1st98NfPF0b7vDreF7UYVJEcyywyGO/Y4DJd2Z1CfqcgeHKN+43CyUl4DTnV7S6uyFWtqJzDEI/JZ+hsJoky7M7FDbkJIk+1BDroUomUPVuCapEnc6UwGXxd1xHudhn8cL26PtG0hpkHRb805ZoIPXbbFgBJtqgSZwsr4rkJRjxb7ZQKqgRdAAPsR48It+/3Y3zzTR3jMdm7z88DG5SdnrIPO009rK0xiGw0SFwWRYTKUxaMyZvNzdS0wnFdlkCJvecpfvKT2KqMaE1ysefPI5yeBrZFsNXK8Xu/N8FXXzVswP/4cYw49kxgC5ychFhby7C7m2Ey0bi8jNBqMcgUIlWBgot+9NlZAECjVqM++nCocHUVoN+XpJVCvZ7h5CQyyYPM9iVfXTEA3t9PMJ36ePOG1V/Pox+ytUW5UZKW5jg95ZxotzM8eJDYILnfD+ya/uJFZMfL+rpU1cuWJArn50Q81OvsXT4/D/Dtt00oBVxcEBq9vl6ovEjSCAD292O0WhqHh4mtgvb7JL6T9f7Rozk6HW2/7/jYx89/3kCWMaAX3W3f13jwgLru/O5Cus9Fg2YZcHQUGKI72LG5tkbIfrPJ/n+uXdomLbKMe1mScB6whUKVyBSFzV3m8mTCVjEy+9OxnM/lWXLdabdzW/wRsjtBwchaIASN1Tnpri2SmBfiZHd9DALYfVqkRgFtq/gADEliaOZvgn7ft58hATDbQuZzQQsVDvCqlrUwLGRul/nWoiQj+u3COxTHBTEdERleCY4uHDRSQJDn9T5bUqV1YDotzsXdh9bWMksGKv+E7+V92vuKCz4F6z+wRVGEqysP4/Ht2eCHwzLU2yXUcI3OQmBYWwsCn/X11QQM1ce+yJlzWZarBBmrfq8aCXmuQzOrmfu3NamoSw/lMpNsW/U7xbETc6+j2fSxtpYjTT9V1m+yRdDsZRXaReNNCOqW2U3HEvmxIChnPhd957Jj3cbeNjB7V0tThcHAs1XScmAnhFH83ZwpGg1m0ZcFyrLxSv/ybEao4TJCQtcke7/oXrrwWTfIKs7ZvuJAq3Pz+/WstVQ3peqdOkupe0w5FzeQr65RhVTadS129zWpltx3sC7nIGNeHB830Hah16uOW6utTq7c1YS0zGXxv0vQHoYRCN9MSu9flByJY2V5UmRMRxErq7eVDJTqilsZynPun9Xe1VpNWwIu9/M3PTfZH2YzJo7J3FwQR3W7GVotOowSNMvzFLiokEQRMaLt3s5+b54A+3lhobjNpjaBr7aBqnzOva/SjlVu+2KVM8tY3T8/L3p8o4hkW3EsiiAab940cHERwPMSbG+nmM89UxnNcXlJ+PvGRobPP0/x8GFsg2AhBavXJUDPjI65b58D5y4r73KPgkDj4iKweu+DgRCcedjeTrG+nuLrr2s26PzRj2aYTHzs7GRotTJcXvro9QIcHsYIAo0//dMmksTD1hZh8+ypJsIhy1iZPDpixfTqysf+forRyMO330YW4bS+nqPRSHF+Htlnwcomr2FvLzYoB/bRS8Kk05HPC6kVJfIYtKXY3k5xcVEkRwQNIolAz2MCwg2sAY6dX/2qjtNT38CkuQZeXfmG9I+s4z/6kTYVzgzdbo52mwmDnZ0MW1tcKC8vfbx8GeL83MfZWYR2O7PQ7lYrN73shMzP5x5OTwOT2CB7uOex/9+VE5PPaM3q6XjsG5WWoKRNvrGRYm+vCIBl/Wi3KeO2yBeVKjoRJ9oEijnimImmo6Pomk/ZbGaIIvqVu7v0lYWUzUXCnZ8Xvh7bC26uvA4GrM4LekWe3fr68kKZkPCRb8G3qNNez0OtBqyteSYRzXFV7F2FMsRt1kGtCw4dQSAtahUkB0fRmiffVSQZiCJgMU1bVIMkfvldyj4PIv0Kn1uk6VxyzlX+nrQDex6RU4I2ru4xAvX/kKyalL4v+xSs/8BWfbCudNZt+zrFYXAf1/p6ZjdqgeTUauyJu7oqR6RkfP1wBvwyKL1S7w8pIFUQF+K6yBjUSyUnMhJh14M+gXlJf9jfdBON7+omCiyv1slrSrFPbVlgeVd7X4vp+zCS9ZWJqe7DJBisysK4f5cAqaqkIH2L7zK2XefvLiYB3yqImQQdrgTg92laoxSsrIKML1o3uO4zmRKG16Xb3Hnisn5TXvH6M1nep15UlqvntCh5VahDvB0nxzJ4oJA0SVVdqkDb25lNUtzUKuC2j8k1Dgae5Q9xX9/aup3sn5j04ErlbDz2cHwc4uwsQJKwwss9NEOno21SSyTfJMBoNERaqkDpsKdS255vIW2jH+DbAFKIkzqdrNQeNpuReyGKGBRK8C+BkswDakYz0KL2MsfT5iZhqJ7H+9XvB6avls83TT189hkriv0+fYRmU/q6tek354ORSjhQEIddXRFW3G5nppIaGbi2NvKYEsiRyIzQZEFC8f4Kc/jRUYjJhP3kf//vj3B5GVpJvfX1DK9fh5hMBNbP8dBs5vjpT2cQJnOSePF59vue9bXW1lJozcTkxQV11D//fGZZxgW+vbubIYoYpAuPkEC9hcBMEFG+DxwcxBgMAnPurFZKtdjzNHZ2Ujx+nNjKJcCxsbGRWbk0sePjAC9fhkZD20O9niGOeS+TBOh2mXBKEiKB2u0c7bZv4OpzO08YUHJcnZ0Fts2g1cqxs1OQ/WUZMBgQhn5+TuRDFAEHB3O02/SDpGUjTYEXLyLTu++j0xHIN6Hz7TZbJ6Ti7XlFEaXTKet+07RJXlUTuMDVlYevvqpf8xeazRy7u+xZJzqlDOFetK5dXBRzyfexkvh4MHDJIYs3NZuZZeZfpkjD3mzP+t6U3yMsu9vN7DzudDKjRBCC3CZJCY1wW6smoWU/chPVLkIrioDt7aSUvLgvk4QBe/SvH1xrkdMrXotjrmN5rmz//fW9ctG+xVhnZydd2eNO/+c6Geh92Kdg/Y72sQTrtVrNVNaLaoMwFb8LCdTVVVleQkg8Fk1ElxBErN3+8DJWDOILSJV7Le8riF90DrLJMHDgpKxuAgLREcbp6sZy33r134fJNQljafVvq67lPgK8+7K3gSlJ0CwbzrJrXXUfVgVty8zzYLXef4jAc5FJ4mVV8mBZwAfwdWGKvuv13ObZESZfqDLchPapZuvFUZBkYfnvBUph0TFIMAgLtZUE6Xx+ncxOPle9P7c1VuELKaAPndSyVqthNPJwdVUO1tmffbveQVbcC8ioUrCqE8JKLdKWQsjomlSnpcokXALScymVIglmJxOSuzUa2rZ+1WpMJBwcxBiNfKPrW3xPrcbAIQzzhc6vOzcECjubKZOgVhbyL4FGt5tbcjKRe2KLA9nUJQEv46/dzkzwzUBE5NgaDcrBHRwkVvMZ4H42HHomWMssVH06VUauLoLvA69fk+wtjgv1i2aTFer19dSi92o1bXvTz84Ip5Ze4K2tBI8esd/7/DyA77PH2fdzPH9eM/JbwOPHCQ4OEvzylzWcnDBw+eM/HqHXC/DiRQ1AgcwZDnn+7BWmY9/tEi7ebuemP9vD0VGE4VDh8pJJo3Y7Qaul4XlMTogcocB5ZzMmvy4uAijF3uU819CayYFHjxK0WpmRhwswn3vY2Unw4EGKft8zDOKUP9vfT612+c4O/bDJxMPpKXkLhFeBMmgcp69ekSE9jj3TO69twpvnS6SB1hz7zSb12Hd3GRTzM1wv0zRGlgmTPQPGjQ2OBdEob7dzw2nCAOnly8jcA1bQnz1LbAuCMI9T9lDZii+gLELl7IykbGmqTJLAMygLYa/PrqkfyDp4fi7IjiqBMf2IL76YX/P3ijWh0F2vVnJdlSWlFvNB9fuLiwrSEiPcNfKsFu35aQp8913N7iFMoiqsrRXcSK0WkxSXl4FRxKCvuLWVotlcvc+5EHA5ByGHLL+Pz3JjI3snBaZ3NfHdl0n3yl55H99zdubhV79qYDKpyrzxF94vhZ2dBH/v703f+Tur9gkGf0f7WIL1MAxxdeVhOuWsvgmW6/vMnt4VIp5l5d53woCWk7658hhyDsvYOn9oW7YQKIW3ykre1m4ikmBm3C9Vw+S5xnFBNiYwW2FUBd7vvaae7upga5FJENJo/LBBgUjDzWZqIRLipgAoCAIAamH7wrKAWipeVQfgk93dBD3kQu5uu9UEQXnOKVXAbMMQppq5mARwGfxOkmuiFCFM0MvW2FXwbzlmksAS2sjYkeMtgnZ+xFvtUhuNqu1avtErTmy1hQ759eSXJEXlvnDMcM10KyaCHGu3i8qLC7msHnMw8NFsEuYr/ZsM+H2022VnlpVlkkoBsEzk7nv29hKrBS3jedHzdGU9Zc26vPRNMAajlawtEZJU64WYrtEoWkZc5AiJm1Lbn6s1DGScwYVUtiVAODvzMZ16ePAgMQEiob6bm+m1OVmv53jzJsA33zTR7wfodObodAhn73ZTvHwZWQg/uUByG7DP5+TPOTycY2NDZFy17duv1wu5LvoaCgcHZLN+8ya0Mmm/+7tThGGOb79tAKAcFqH2Pi4vCQF/8oQw+I2NzLaqHB0FuLoK8fJlaEmmtrZSPHyYYnMzM4oYGi9esA3x4iI0+1uKi4sA06mPVov3ZWuL0m1MTBAefnLCc4wibVjAyVA+mVCuLcsUdndTg3AkeeHr1xEuLwO770aRJBVYtZVxdXZGYqw4ZrW83w/Avv0cz57FaDRyHBwkePw4tT7OfM7AWfw86eeu1QIcH/vo94ngODxkMgEoxihl45SpHGu8eVNDlins7cVoNHSput3tkoxO0DzzOeHw0ussSkZyXoeHCaJIm/5hXbrG09PQVO/LDhrl9VI8fJi8c+VTilZCXFyvs/ItSSzhbJBzliSCqK4sWpeF38FNnvf7Ht68CS1J3nDo4fHj2CYjxNfOc0Lt3e90C03FuidrThF9k/ehqOyLLybHuYmb6X2bK6lcNeFsuE3cIuz2hVpO8TqTfjCvX9/jiVbQ2N/PSutl1Yg6ej/SbZ8I5u5oH0uwflea/ySBlTcBVkMr5e9KsQeoCjWazZTNvst7l1XUBY4n5DjyvRsb2TWn6EOxVdm8t9HWrdp9SjRIYC9QQgmmlz3fzc0UOzuUhHFhkcvM/bvvFxvSfZhUeVg9XPyeVQH0qsB3UfCsVMGX8Dab0/uS1vhk72ZZVmjFLhsTUVRkrYXoZjpVlu1ZWn6iSC/czFdZGOamIrroe7VFOHwfCJ4PycQRr8p0iilF59StRmmtTNuKtjwHYRiZ6iHhgVREyDEaVfczbVBJReuFwMb395OV95/Vw4J0tJxIuc5VkCR0nhlMe9YhnM/Jrr6+ntoWsVotN0mB4jqlok5JRG2YrX07losqnrZ7qCQoyLys0WoRRttqaSNRlFvExCIpOGEzlyroYOBZ9MZk4lnE1tVVAM9ji5scY3s7tX24bkucoFHiWOHsjLDtLBMmdh+AQhjGJlHJRMjBAUnkrq48zGYC/S4q/2aZxcWF3E8SyUlfL+XnciNlpnF1xcjm8eMYQQA8f87gp17P8dlnMZLEQ5Zp/PKXDdTrOXZ2EiOxFWA8Vvjyy7q9BmHVX1tLDeOzh8tLJkaurnxcXTGgZf9zZlo7yPx/cDDHgwcZKMvpYT4Xokbhx4BtBbm68i0ZoDDGNxoau7tF8UXaiR4+jFGrUZJOqtyjkYfj48C2cMxmCq0WOTrqde7Vu7sxul1t+Cd4rOPj0JJ4sseXf5eCjpB9NpshHj1K0WpN7PjJc+D58whnZ77xM1gFFjLJL76YO74i58xg4NliT7ebQqrE0m9Oibki8On3Pat3DsDImxbrBxEAmYX8r0KRujDumxKdkiCU14TFnqRtZTTX21Zzx2OeixS0BgMPtZrG/n5iCU43N3lfpA9e1Bo8T5cq3O75F8nEHJ0O751bna3qzX/fJolAtxddXgeYxNjYIAmgG2zfZFlWFLUAWE6Oej23yQvhLbmpUClqFQBsAnVZkv596ax/km67o30swbrvc7H0/fsfNGKS6ZvPF8OXXatWQ8gGmyys8rqT17VlbPUfkhGmdn3xvws83TdeY1Ztrn8L0xrXqjOL3iM/ez0fFxfUiqxWurXmc1MKVj5FyI58//6rwkI2KFnrD93u87l9MppkwyWgqyYM5T0CMXfHMn8ScsqK4vXxLMfxPHGaMyud877HnECryR1Q1kVf5Dwu+vyy61l1nLeFxkv/46rqv5yT+48Os3YqwAK1V1Z3XSlYMiXXms3MBmfud9ZqhXTbZBKaykfhcCaJIMbKn1uVTJQeR9Gqd6vzHEMZhsPAktWJCgQlqbJrLMZhmCGOPTSbDNg2N1M0GqyEsVrE4C7LOE5lHBM5UbwmGsq1msZk4qPR4Poi8HqB07daDOy73ZuDBUk+yPMSVmtAet+LKrsEikBBRLW1VaxxWhfM3FdXPr77LrR793TqI021qeqTyA+ASZAweHz50reB0HjsGXUEjSQh5J39x0zQbG6muLwMrUScUkCzmaLdpiOuNXB87OOv/qqBPFc4PJyj1WJynQzXqSXpq9dzXF0pfPNNHdQBz3F0FJhKtmeOnZtecvZwB0EOrVlJ1ZrPdTpVOD4O0e2SMK6QmuTYbrcZVArE3Pc18lzj8DC1bQqsJPMeM5Bmj/fBQYynT2Ps79N3ePUqtFJq0kf+/HlkElu+Ja+TiuvBQYog0DbhJYSHZBMvLyqNRo5Hj2IbtAjLeb/v4/Q0QLudmzGWYzJh5nE81lY2jvDvxIxXXs/f/tvTUrveZMIkQhjmmE59w6ifWiRLGOZ49YrtCNL6I0GXjJuDg0LvPIpypGk5mb+sFWgRUkk4EKpB/XBIn0l65dvtchFGKcL935as2NVKl7YFz4MJJjMkiecwzwt/lMiLcs3Z2kptECnn6V6vmCsh/EP5KNMp+RlGI6IOgPJ+IWoVi8zdUySxJONBLElgeR4E0eb7y5VsRDZQEujSsnub/dQtPEpyzFVweV/B+vt6dp+C9R/Y6vU6fvGLECcn1zNmLnsznSaNtbViIX6XnnYeH/bYi/7GjCY3ONnURWJnZ4cwOtEJdo8niQHKg2RGm1O0Kj9sSxIuVsD1+1JFEazKoBFWVkYtuHq3VaIoOhwF+uGmgHoZXFtMoF+ieZ2mBTzY81gZoWO1+PPy/BuNxdWdj9k+VdbL5mbCly350qe3yNkCZPwKS2zxWnWcUmf6ZlnGZfbb9uxkjZXqz01WdUjESZ5MCvKeWk3bAPmm75Z/osdOeGDxjBgUu/2gsJDWZVZtoQJEHaCOKNKYTOa2h3URC7tYIRdUOmsTsGWmasUA0r13kpiUfYlEXPwP73VRURyP6eBLUOv2nmeZsgGpENVJUkk4JEajQv9YYKmjkUKzKcz9unRu29ur27KkX1aYvT1Pl6qK87nCzk6GKCqY4qUC78JpRXe73/dwchLi6IhkYuzV9w3re4pOJ8M339TQaIh+eobJhBXlKOK8B0LTWjBHrQZ7fnmuEIYZ9vZINJYkCpeXPi4uAvR60k4iY5HB2mQCvHkTQWvC0n/847lFN7BCCUskGkXUqH/+PEIUcW98+ZJ9wNvbKTY2CP+/uAgsOZgkGS4vA4ShxulpgPNzIgN2d2P8+McxgBxXV5Ht/5cx8uJFDWGobc/3ZEL2fsrv5eh0+H4SyWUWQQEUDPYSsNbr1Evv931TQVfY3Mytes5PfjLDbObh9DREEOSWJJBM7NpKl7HKWvabRNaTawdweRmi0chtQC0KCNQurxmiyxiHh7Ehc+QgefQoMURcOS4uAgyHCkdHkSVRbDa1GReih04fQkhJHzyIHR+U96DbzWzA5hp74pdLi97GtGYf/2BQbB7s1ReCx3fzL4VIcDjk/bu68jAa+Tbgq9fJPSAJNlaA8xLfk5Bkuq097j55Wz/4bfc5F4XgvgYUewWh6lUCP65ttRrXgE5nsUSt1sUaJYlhuX7GCNomLz0PFu0hr4m6gjsOJKHqIi/c85ZzB7g3uf5omqprCYFlaMxqVf59weA/VdbvaB9LsO77zHB73s1wcoFKSzaZTLJlB0MeWa2mF2YiF2Uv3f+v0jnXmpOdULnQyoWIw0d5kuL9cawMFBAWVijfxWvXVtcSKCR65O/MYF6vtN2HuffB7Sd0JW5E99fzYDLr3PTlc0p55v5n6HQyZ3FWdnNyqziepy1j6H3I0r2LSTIBWF7BE4d/2cK/7DWp7JMR9r7P/N3tt6myfpdAW+Br7nohmWYXfls9PgBTecp/8JaXD+HZCcS5qve9zNzKuqw3rAaVpa2qDoy8f9VxAakm51bX+G2t379eMaejDkO4V0YUSI9znkuPvmeQPEWS2bXNTW2qdwWLNMBKlBzbvW5pS6CsVIhCIojvIbM2Yc4ibSVVX8JOC8KzIGCVh7wTcl0aWeaZfa04X9mDWBmjQ57nylbOXSPEnHBosSjShryO/2+3GahKC6OMB/KWUPdZ9tA0VbaPN4pyWxnMMs+2AgCwkk/ufKWiiYcXL6R3ltDf9fUM29sZdncTbG9TwuvqysfREXusnzyZYzj0bftAs0kyqlpNG81yhYsLD3meWz+h2cyRZcrIwiq8fBlZdIYEN2tr1BqfzZSVKwOAH/94Bt+XRItvNMZTPHs2Q5p6+OUv6zg+9k1fuEKtBvsciaQhcqHVYhC5sZHC8xicjkasMm9spEgSH/v7Cb74YoZez8dXX9VsxVxIyKKIVfzNzRx/8AdjNBqsgI9GHs7OiiD44cMEnqdN4O3b5zUYsLJ6dBTYVhHpZWa1laRwPB/Ol04nt9rgOzskeFtfz231VZIIMj/mc+Cbb2rO+Cz27zBkkJrnCoOBwvl5aIOh7e0UDx5opKnG0RHH54MHlNb7V/+qicHAA6Bscqle19jbS0w7gNu3zXFPqD0TW+9zH5BEE1AOBgHqwcv1ijqGyDu6/3dNaxiEh2fXEJEQFBOd9jxXaDbpx25sMPnh2nRK+Hu/75lklbZ+jqwN3e7b8Q1JMo7Se55Jot4tASGon6rPXOw/14NWWcv7fSYn3BYi+bv8Xylt2jS0RbRIEqYsbSooLJLeuQgu99hiVUUA4XRyv7/6OanK1+t5SU5U/uYWx/hakZgAWFx48uT+FYE+VdbvaB9LsF6v13Fx4eHoKCsRfi2a8JwYuZ1cq+Td5vNiMVoWmItJRlQmme8XureLrArrlNdcp6t6Hcucz9lM2eqv2OYmYUtpys1wMAgWOkpVWwYdDQKByRUOnfS6yvmQPbRMApXnsIQhIn8jGwLA/lkuSPG17J6YBO3vqzJ9G2f+pvctej9wc9+R1rBQzuqYkOTMsvEpC604eKJjLTC7bjdzdETvrm29yj6U6qyMw2W9eGLsifSwrAf7JvUIZrN/+ED7Puxtn12VtAZYnGRaNLYEai2ZfybdcpssvcmuJ0gLzgWlxNksqg/V3wFl4LDLv6PKG5EkQBx719iBxabTordT5lSjsdzJzDJ1rSoWBLmBQDOwlqC409EGPltU+0k6VjdBqhDvFNVnMkz7pmJb3C/f1zg4SKz2tSQT5F5ID3Gv51vofhhqG/QKhDgMi6ofYaZ8huK4ynOUirYL/QQK6UgxYWIGCii63E+XuFV0h8NQ4/XrAPO5bypSHi4uPJO80LYnutPJMJ97ll2d16pRq8EmACihl2My8S08u9fjcVutDL/3ezPLyC73X/phheCsXs+xu5ua/nKFjQ2qF7AKXVRvSdQXmYr1HIMBg5Qg0Pjuu8gmRh4+TM3zypGm3HNfvoyQJJQQ+8lP5mg2NaZTGI4CtiRcXjLIPT/neV1echxoTTb/tbUESjH4yDJlgmeiCF6+jAz6IUevF6DZzOx8OT/30e3mSFNlAuoMn30WY32dwfdPfzqz5F95Dnz1VQ0nJ6zub29TAu/zz+dIU1Zbz858+/29nofnz2sm8KE8WbPJ/njfZwtKs0nIc73OSvxs5tkEyNWVjyAg2Rt9LWULMeJ3CC8RYb8eNjdTDIeBHVOES+d48aJmFAX47LvdDKMRK/YXFz48LzTQ/diuQ+vrTD60WrnlZagq1gh/wjJbtlbe1oRroWpsN/KssoO0i7hGtApMn7+y6E6pagPloFDmTZH8YGGm1cosZ0O9TsZ04XOQ9hPhWOCxWGzpdHJsbKTXkquL/KVl+/oyX7Zez01v+uJ9rkriVj2eK/v35k1oW3Cqe1D1c0RwZJYQ8SZz2wMWXZ+YFKxkLRI5Qu4HheJF1aJIW4TNTWONrVbatiKIUS7z/RT7Vtmnyvod7WMJ1hdlYSTwlY1WBpo49kABT65aEGiryXpbk41ZnLxl2SipvAtERjKB4iQtmhCDwXU5iWazgETxO5XZpFhZL5NNcDI2m/lK6QnJlFazggBM9t+z5G1BoI0mLhcmd2G/zZAXNtBGwzPQouUZNCHxW2QfS2vAMmNloYBEuebe/0U8AFX4rRukxHHBUOtq98oYqR5/mcm4qQYZ95H5rFZH3etalMiaTtXCSqzIbq2ar4Q1356dfNnf7rJhLUr0LPqO286ZtzWpIMqm7nnSr7t43kjv8CL99kZjdfV5mVNAIrCiZ/suJtl99pGTZEkggoVufVGJcJNW5b8vvlZ5TxBoQ9imrdyfJBin0+uOlZAVCVqK+tLsAyZDcvFQw1BDJM7c85AkkFu1YUDNXk1hMJekcrfLz19eolRJ15pOtouiWoQAE33vi4tinRcnfWMjQ6NBsjFZ39fXl8P1tS4IU10TkqTq/c4yOr/CSO95MM4n38iEmVTtgNPTwI7BNOV6JuMvTbl2EPlGOH2rVYytbjeze+Rw6KHXI1GcUjzO69cRplPCyEUbe20ts8i12UzYyFm1/eUv6zg5YS/zs2exgZFqKzk3GPjWmRbeEWHwZpLGM8FRjhcvIlst//zzGPU6g+cs43W/ekX9ec9TODwkTLrXI/O3VLzb7RxXVwHSlNcqcpi9HhNiDx4kGAw8rK2RqI57rbZV8zRlddOFiee5xtFRhDAkQ7+g2Op14PHjGQ4PGZBKkn4y8XBy4uPFiwiTiW94dngtoi6Q58DJSYBeT+HsLDJFBe79T54k6HSIUKhdnWLnxV+if5wi6a4h/eJzYH8L29upQSNx/Ij859oa0QHSUpgkCl9/zcSGsP8LUm8+V9jc5NiOY/ZMi8RfFOV49myOBonyEcck3wNgme8BD+12hlqNsnuSIOMxl6sB3YcRSr44WBSfIE0VLi58izSZzTwbnK9aa6XPubonVv0t4UgRJvarq8BKKsp3CAJUuBxcosT19Zt5JWTfkPH4LoGhnL/4KGmaWXI6+hxFi80qC0ON/X0SE646b5G5nM89W40+OwtLBQTKzhWxAJMoeYmXikRwnlnPyxXsQp2jgMFTHvL7V9bJc6olSPLGJUW8L/tUWb+jfSzBer1ex+Wlh9Ho9nAMpQoZB1n8ZIIIhI6syFwM53PPEOEUnw8CwvNc+I7Llrvsd62106vFAS8SMq7JZhSGXPD4Hr42HHo2yHP7LN1eFDdTyewoFlYXW62CydXtU1xlnqdtsLisWrkqyEkSmKoKM2hxfP3ZrUIyiM1mTCKIhFAYFsEbkwkfbyDvWrV/f5ndB0O/GKtXi6v7QcA+vsEgWblRuONenBxXvkl6tKtJiEXHfFtd8Y/V2PdIp35ZoJmmyko9tHS4BgABAABJREFULZojgrJwUTHCBh/HizVMldKWmVvYeIUdOkmuI5EKqFxBqEb0jKBqCnilHF8IlZbNcfd66ZDnxpF7+xYYgWpPp8rKDS0aa1QLEe1dWVtztNvFyZJFv/ig7/M+b25mWFtLEcfetQSBy9ehdUFUBvD7hIxI+rbjWOHkhMEt9YSByJQym81J6R60WoUuuBxfWpPOzwNTJed3dTqEpsp+UyXl3NpKS3sIoeG+dcJdE9msZcbAjr8LUdRsxiottcUzI/+kLAncaERnt90m+RQ5Qngu7XZue/C3tlK025mtYF5d+Tg/D0pydawc0tGVRB97pueIIoXxmMztRDYwiBwOSbaXpsDxMdn3Hz+e49Ej0fYm9H46VXYcM5hjgof9tuwrr9cZhJ+dNdHvK6RpiidPEkuSJ4iT588DHB9HaLdzHB4m2N2ljvqrVyE8j4Eh++FTXF1Rc71eZ6B1eenju+8iq92+t5diOPTQ7eaWpT8MOTYaDbKPS5Liu+8inJ+HJolESCsRE8CPfjQrwWqnU4UXL0L0ej7GY47d9fUUn30WY2urCOR6PR9v3viGbZ/JhW43wx/+IQnYZLxpzcSEd3GJw1//CdBo4GBvhm7Wgz8e4+q/9t/AcfTIFkFk/wB4z0mKyP/nOTmAdnZ4v4+PRfqJVePxmEmV9XUyqO/tpab6zsTVixdEOPg+8Hu/N8X6Ogc617YGut0cWTbH1lZWmhtiNyEvV5kgD6qfEx+Le2axdkrPtJgUlwD6kqt4dKo2GHh2fZBAM449y5gu1XcpAigFB0EqxQGO+2aTa8HGxrv11QOL7534I8fHYal1dDLxStVlqQZ7HpM3kwl5GUjQp+wcdW1ZMt29j1L04Ngv0FS+XyicyDqyvZ3aFlqlCvb7ReNEvtfzyPD/Q7d3VscOpTGLJIOrPvCJDf4DsY8lWPd9Mi8Oh/d7rwX+RamQ/BrMiVlcZRe2ZYGp5+lbQ2PECodXYT7n4iyQTJH4ceHMspBNJr6pYmWmb4qEHqu+W8jsXFOKmo6LFl2p5Mv1rwrYl5k47J7HBSxNiyyt+/M2Jhl3YRcupGeK+0SSo3LfEeFFIqNXBBCu3aaiKokCtxVBKnzu9RTPS0PgqZJg4M/rEDRAX/v+6j1y/0YlAlV6b3UJShI+L1fjdNE1LzNWXgMEARAEKZQqowIWFWyl8s/fNQRaWyR8isDJzT7LcV1nYZFJ64nouLsJNLkP35cJWkYcUq2VlQGK4zIiQgLZLCsjIHgchXY7szrWi4zEk4uz6wJvjmN+r5jLBn8b87xifIbhdQQDGaHpDBEOrc3Y5u+U4rn+uSIJUJYsWzYmV43V2z7fMNSlMZIkJNJyza0WjMesFMnz4b8isOv1rstaCgyT6xqP72rbyrXLejCZeFbTvApBFP1pEhJ50JrVqzTNrQMv67FUqQs0AY8pJGLSEykVcfkuITCT8yXTcHEeSpEQb2vrdoncy8siES1Efb2ebwn8WMFmcuL1a8I5CUHODZogw6NHSYmNfzxmn7I4tZJAEHiu8EaEYW7uKZNc0o9ZSHoWnBOU2cqtEoh813RK9v5Gg1V0cbhfvgzw+nVkFRTkuV1eBpjNgDz3TNCiDdN7bojVYIJIhVYrsezvx8chTk99ex5RxOfZ67Ew0GhoPH1KQrrRiEHV8XFgKmo5fvGLumkdU3j0KDb3RltCvzz3sbZW9HOT4I8yf9Oph2+/jfDs2Ry/+7szpKnC4SHJ8trtHK9fhxgOqVV+chKaoAjIMg+Hh4lFBorGe6/H3m8SsVIf/cGDxPIRnJ2FGI2AX/2qgSxj8mE2Uzg8TPDZv/xnULMZ+t46koxzcdJPMfXbiP+rfx/ttjbrO3vXJblLlAXsc5/NPBNwc/7O5wVywPeZ/Do6Ci1K5fQ0RBSxEPLTn87s+J5MispyEGjs7krA/PZBiRBGal1ok0tbjqBYFq1hoszgEsKJLFeVY2XVfidBrUtaGcdscdnZSeF52iS5yEEh88HzyHov92Y8JqeBHH8ZimaRubxGwhsllenZTJmiGMn+hJvCXW+YFAC2thLL68T+78VEbrUauQ/CMLV7mIucWnR+stYvu5+CQBI/je1DQWltr+5JWnNtW4Ti/dBsMrne+rsKGSHSjfdtnyrrd7SPJViv1+uIYyDLZt971Y2sr8vTiFrT+WBlXrKj153P6ZTHETZTcRAWOaOt1mpZN0EGSPaRffDl9wQBSvAt6UeURSjP6WRWAy/p9bqv+/y+MmhpWgRASXI9GHJ1Kd1FVYL2ZS0SVWM2WtlEgbQruAGo+384ygRpClPB4T8h9yi3IajSsbIMxtlQ187D/QkUfaVMUtCJE+iw52kLGbxeuS0Owup3OdFE5z1AFBXVWTdxVK4OlO+XS8y2LOmQ58oSGElQ7x6/et1KwTiJ2hA2lT/DvxctKPKZ6jUz4eWZXtrynF6VRBLInySEgkBbSK9cv2T7JaiWpI0bYElQXtyH4l66yQqpZsi9chMd8jcJYFzCGhlnUUQiq0Volne1ZUG1azIGlBLt9WJsvstx5bqLOQVUW0CkSicJIeF2mM89q9PsKogIQ/JsBqPrXX5O3S55Uk5PA6s7PRoVevUAW56E2VquW1BbMtfDcLmDCNCZr9c1Gg3ClPv92MJ9eR/Z77u1tXjNGg6VgU1zHex0CPl2kyRA4YzeZX2XHnWxbjfF+Xlg++eJGlDOdxEqzqAuwd4eNafPznwbJE2nyjINy/ieTpmIrtUy03uszVxXlgNB5kOaqlIS4tGjGPv7aanNi/ed1xvHwJdf1uF5hIBvbmY4O/PxF3/RwMUFn+vWVgLPAy4uQngeNaEbDY2trRSHhwm++aaGy0vC1ev1HJubme3xb7epY/7NN8Cvf10HDOfCwUGCNJV1Wpk+awaix8eEvbP3PLctZ19/HaHfD3BwMMfubmar1SRKY0Ber7NKPp8TFdjvsxWg02E1v9nM8a/9a2N8+WXdVMjpC1xd+Tg+5vvabVapJXkTBBp7e6nRTVe2zeD4mJX2IAB2dlLs7qY4P2e1/+yMrQy7uynCMMdnnyVGDs1Hs0n97s7//f+F+doGpkkNcUbUxF67j1r/EoP/7r9tJVSbTVbPxffJMuDXv66VCNHq9Rynp6Fda13pt1pNl/bYL76YWanEwaBAl1Sh7at8FPG1KNcVlNYOMa25hyoluu35Qo4a95huApEs/WlpD1pGZipWVZOQYFhrZVvuJAFydsbx3OlkiCIGZxJAn55Si15g3FEE2/oTx0yK8ZxcBB3/n+dlFFOaFsGdfJe0aEqxo9HI8eBB+lbkclVzn5vWfMYFh0XxPtdXIcEzX5DAddF75RjV4P1treoPMiErnCHX378oNliVuHb/5vrAMs5k3ApBo7xH1ETc73WPt7aW4fAwwX3bp8r6He1jCdY/BHbjRcbJQAfElVSQhcyVpNnZIcuskNotGzbuZPN9OjNvs1C4bKFAod3YbucLs2iysSQJyS1gCMvcnvXNzdWSOovsQ312LlTPNVms7qo7muc85nTqLVxogXJAsmzhFdmN6n0Wp0HgYFIlkySA1kxaCKeBbKxSpZFNv3q9rAT4JZgZAPi+MECX2y4Ewivn8DbL36rAzCUqK96nbSIsSbQNEuRY4sC7wW/5Wot7FkXcrIQYSHq3V6FHxFFkz6myvcmrNlOBk7GiVg5Uy8mjxagM13ETAsHy/wtiLiIgtCVRCsPynJPKvgS47rnf1ZhQWLx+VK+v+voqk/Vy2XfyuNomPYKAfd4CoZbvDMP8mrwNUPCXCCmSa5OJB88jaqDX89DvB6YCpZCmnl2HNzcZyAjT72RScCwsk3kUx3WZ080KcpE0FSRSo5GUIMrX7wmsrrk8U6K7ioSStFa9jfX7nqmQsQe62WSAcHQU4PLSNygMBd/nfNrZSbG9nVkUGqHhviFY800/PvcyISETh136/bOMyTu3n/701LdM8CLLureXYGcnKznnYiLNNp0CL17U8OZNgOGQLW8PHya4vKRUmO8DoxF7xuPYt6iH9XW2EEjy6+VLkru9fh2i08lNcM7Aez4HXrygjNeLF3WTIE/w6FEM31eIogx/9VcNpKlCq5WiXoet8ivFPvFGg/2hv/lNhL/6qxqCAHj6dIZ2m+O709FWCeHhwwRRpPH6dYjt7QS//nUDtRoD98mECSGtSbQnCYGf/GSOiwvfKF1wXGxvZ/jyy5pJ8nt4+nRuycSEwd73tUlicC8cjwN8+22EwYBr8/o6K+uPHycIAo03bwjnF6i0jPm1tQz4D/9TqOkMzQ0fjZDZbm88RnvDQ/zf/8f22SUJEzonJ9SePzkJsLubWP9D5vnjx7FNVG9tZXj1KrQw888+i20S/uKi2Ne6XQa/LveQJG/ncyb1BwNcY8vmNXEeVTllqlarlSU3Jak0nbLiL3sY2x7S0rGkKi1qEa4NBmWVCc5NZecPkQfaJglmM88m7znvtOGPgK2aSxJ1ezu1VWy3Mi9KAJIwoPa5ZxIhch2FwobWhe79uxZ6pL1KlJTYCqbMuly8T3wU4WYR30RrEjSW0VzXkw1k7s+d14pjL/JRlu338tqqvU4pSdgVSMubEth3Ma1heEoKv0g4C1yyPff8AY6bZaiP92mfKut3tI8lWP++maldKYxVDjmdh5vh71w83IXw+rGAAi4lE5iBs19aZFYFOjI5b6NR65psHtWFg72dAi+Ela3hOReLnziJcn6iR6vUh8MqvspEb1UCQAmMq6z9rq2tFRlacb4kML5p4SOD/3XiplUmjur3xVa+6LlxDHi2V3GVydh25Ua0Fgb85aztrKwVJFqsAEjPdplka9F3LgoUlwWPwnZ9E3mdwJAlMfIuwe6q870vq9XYsz6fCyqi3Ipxn07C25qLWHFJyJa9V2TGRCJpOCQkuVYrv7fdLhIxg4FvyIg8A8tmYC/EWFJRkDEg628UEfos1Ua3xcZV7mi3y+znN9l0WlQx3GSMmwRdtV6ypziy65J87m0dLkEfzWbs6375MrJjMggopSYVO7KbZwbyndmEl7R5vH4dmjYtITck4uCLL+bY2Cj2yPX1FKORj8tL/xprfb2eYTTybZLZ99lXvbublZLPk4mHXo8wY0kcuutJkvB8Dg8TtNsZ8lzhu+8iTKce1tbIkD4Y+NjZYeX8yZPEQcjkOD4O0O+zUh6GHB/b2wmShMmL4+MIYajx6lWAWk1jPld48ECh08kxnWZIEsqmBUGOn/1shm5X4/ycMmrzOYNQCUjJZE7ytkePYsznPppNBj0CRx8MSBb35k2As7MAzSbH5I9/PMfpaWCCrgRhqMz+Q6112as7HZLgHR+HNkh99Ci2EqnTKZ/vaMS1/fLSRxzD9AMzQDs8TPDZZwkajcwSchXVWFb5XT+IbOsBJhMPB9PvsPGf/H/Q3ArQ2IzgjUYYnyX4+h/82xhsPsR4TO6AJGG7zfZ2avkhpMqudYEUHI95D09PA8xmTBysrWkDcy5Qae12BrYoKUuQBsAGoBKQdjqUzKvVpiU1HEGLsBWw6oNdr7CLSQuHBEz1eo69vSIoXmRMPrD1Igh4jPPzAGdnvklQFnuXK5dGrhvPJO0UPI/ooH5fkJy5TXYwmVDeuLSGWRtFDaiMSpPvJKfH2/PJ3LTXCWcPv7torSpaCbXlExAou7vPVQskVZmz3yajH+bbyry0ALkFJrnXggz4off7qn2qrN/RPpZgPQgCfPttiPk8vyZR4VqjkS/UTRe7rZRCFJEJ8/vONq3STXQXInEoq8asceHQrjK5tlaLxxLyn+p7bqqma130Fsr/xWmjjJ5vgq609L2L7K4BqdZl9v9Ff5fvXPY7cHfZLoHbSj+/kLS590+yvIuyte8r8Ja+aZFHus11AIufCTOfCllWlimQSp5s6m71oMqLIM/HTQ6x71GbY6sS5BsoNIglGBdCwe+bEdU1qVxIoPshBLurLDA7dlqRmCC0UVlJmCxbzhGwzG5yulZB9KrvE2ikwOTls9IHLk4vHbO8RCYpfXbDoYeXL6OFjMqUg+RY63Y5HyVIF+KqRUaoZnIjw/EyE2eqilYRUsxVJs9uOMwwHDJwlWpfGJJhe9G64SaEF1V+hN1b+jaHQx+jkTIav5QOOzhIcHER4OLCN/2f7Iff2cksg3O7nSFN+T2CLJtMyE7ebBbXJyoew6GHs7PAJqqFobzdLtoGxmNlWMlzm4yjJrcPgTSL1BkAq+tdRTK8fh3g1Sv2YktlvNks9LTPzkIoBfytvzXG4WFqK04MwBlJxTEs4azI7h0fhxiPKZN2deWZQALY32eFn9VFD5eXHqZTBptPn8Z4/jzEyUmIk5MA0ymQJL6tsHU6GX71qzrmcw9PnsRoNHLs7iZoNvkcT058o/bBKimD9xSPHsXodDK8eEFnt9VKcXrK75B773msnqcp98ZeT6DJhToNzwMYDMgnMBwyKUqODK6/e3uEvG9uslUhDLGycnp56eH168iSvrGv3igkHJ9j9ouXGF+kyDsd4LMDzLrbpp2Evelk81d2vZUqqYzlft+z83x9ndJgrpKCMNa7+3qxZsNIEBbBuFRwtQ5Me1XmFCP4eSEWW4SMEvUfQce46KdOh7J0QgxanqvKKnhw3xQ/wrOJRnLO5Oh2U7Ra5XnsQr2pkpAjy7RtI2m1MrTbujTHFqGhxIR1/H3ur8K1U2VBLwg+pXe/WiQpk5V6HttwiCaTtoTUcqe4P5cphHxMpjVMolHB3a+kWMS5sDoR9CHaMh/lXe1TsP4Dm2TQBoP4Gqum9LxJhYDQ5iJwlPeyylvIRiyDhQjs6X0vXm9rcq1ucLzIpAq0yuGUrKoQo1QDS9mE3DFO0jhCCm/q+abe7GI2+HY7M3J2xZdmGeFLdE7LsKXytWnb98w+z9z0pr57AEx5jeuO9qpgXyC27v1zIZoFm3bB2CzQWpewzv2e8vVef819XxwXgW+VCM99vyAIpMd01fcEQWQC8fgabKraSydEh8sI7VyTTLkEaC4pIMD7PxyW2UlvY2TJfffesvdpIksUx56VYrztGnOXbUYYxatzTpxggeb/0Ky0AK/r7MzH2VnhbXgeobdSNSAPQVFRlzWDcHEG1tvb7KMmozn/LtKB7jrFdTFFo3H33u1FtojADmD16zZ9mVX4olKRgS0naDSKSn7VlOJYIpOzMmunV5KOm8+LnlNyOrC6SOQT902S5WlT1dI4OCCTuCupJszUVC/wzBrANWZrK7XQc2FyZgJVdJoZmF9ckEU8inLLgl+va9uP7HnaPE/qz+/uprYKKKglV1UijhWOjwOcnPh4/pxV5FpNY3c3RbPJz8/nCm/ekFm6VtP47LPYJI6Bly9De88vLrjesD1NwfMYvAgJXBxrTKeBRa49fRojDIE8Z5J7OlVoNHy0Whpv3mhDOMj7t7eXotXKMJ2yKv/VVzXEsYd6XeNnP5vgs88S9Ps+fv1rapI3GrI3pHjyhPd2b4/398WLwOqyc39Rtg/34CBFlikcHfk4P4/gedr2w25tsX9YWhGiKMfZWYDx2LMSeaKfXa8X97A63mQNynMmNV6+DHF5GWI0IvKJCQeOq8FAYT737d7MZ0geBfobbNsQcrhOJ7eqNe6cHA6ZLEkSJuweP06QZcW45jPJLcqxquu9ykjQCDSboZGOIyeS+ETLTPh+XD+gikwUIsUkUTg5CXB+Hpbu32xGTgBC7Pm6aLnL51st9vy7PhITQ2T5d5Pj9Tr3P9fuC5Z+GxPU0DLoOCUlVamQVPWlyOZ/e6LmKOK8n05jpGmVzLWA69/WlsHgl8UKrr19W1nh7yjF1hz3uXoe12SB67vnJOO3aIG7rjj1oVoV/Xdf9ilY/4EtDENcXfkYj9Nrk6Xfp5MhwZLAp952geJGsHqxvo0xE10wWX7fgT83zOuQ90XW7d4eMiRakd9+WzPZvrKR+bY4B9/3DStz4RwK0y4rpnyvmzldBMm/ydK0CPTlu+UndY3LBxRoswTQrvxVq8XKgvQoyz9WIu8+30mywiBJrldaDBYtH1IhF6KoaobYZSKX47vBb1lqsAxla7VybGzcrIsahiKNc//kIu/DhAtiibR4ychS7pkeQWV776qOoti7wNXd++95rNQIM/j7WhM+1Gc3mRBuzWoucHQUIE0JY93YKHgalNKWVfjwMLaBRr/Pyhk15fleWefynM6/QAHlmZEp/X7OX/q4XZO+2eqzFI4Q19EWklHX6GwCs5lvKmU+ut0MaVocU8aQ1uRzEDWIMOR6ojX1tyWwF5SP9DMT+cT1UThISExG6Dbh/7m9xjDMMZ8L5BzQugjG9vdTK112eiryXcqckzK659Q8J/pGAiIG32nKKq/ApoOA929RklWYqeUZy3o9Hnu4vPTtM374MEEcUyc6SQot6umUzOYbGyl6PR+vXoU4PycT9WzGSvFk4mFrK0GeM4lB2LeC1jlevYowmXjY20vx8GFiniud6em0ILokw36Eft+D56WYzXxDAAl778UH+OyzBDs7Cd68CZEklP+r13Ps7ydYW2ORgIls31ZuX78O8fJlDXHM9/Z6Pra2OK6VEi4NzxKFHRwQsk+J0xyjkYc3byLbwzydelbRYHeXyAnqxlf5NTR6vQCjkWcrwbKWUZEmRaPBxHuWFX3VWgOHhzEePkzxzTcBzs7oEAQBJfLctgjOC0rsyrEJc2dw22wS8TGfKxv0Nxq6hLJh8FtI7d3F2OpS6HWTiZ3zJssKaU2Btct83Ngo+yhMhJGI0j0H7vkau7vFfGaC5bqPMxopvH4d2f1eKfqy0rPtEsl+9lm8koT4vk304BeZILbc/bMa4EoF+D4TxB/qPueai8KUdVx+0i9VxmfmDRME2G2OWyZbVVYF6D7tfUm3va9n9ylY/4FtWaVokS2qdHQ6q9nV35clCR2LKmHI21oQvH3wX+37lNfcYFaqL9KTVYUsSRZftL4XnUO/Xw6MZVJ6XmyZlYfDohokfcCCimDvUhmS78LHycxJEpWiKq2dylTxmpBhLepxVqocQCcJLHGZ+30u/HlR1nI+V0YPVpWej5y3e07uQl0NuItrVZZtXCkJRMrviSI6WkIk9T56ku4y597FpOJPyOB1jW/g9hnuReiQRZ/3PCIyajU+Vxdhcpfvq9pNDL7fl31fz26RaV3oQk8mnp3rRSKVQZvvazx+HKNeZz8vydKKdUl6LblecY1iFe56G9B9BuQAHc83bwjDLuQI2VPteUXyjgSifL9UC+W9o5FnJbzkGDJvGdwFdo3Z3k7RbmuT3AwMHHnukEKWnX+idGD6orXR/U1Qr8OSPX35ZQ2TibIQYfbm5lbNol4nEsltYQKAWi3DfO6bAEyh0WAi95e/rOPykhKq8pza7dwkBVg1leD88DCGUiQLExhuq5WZoL3MYVEltxT0RJ6zkqq1xuVlZKqUwNFRBEBkHIvKoVR35V5LL/nlJVnryYNB+Px87mFvL7EB8fl5gM3NBGdnoUVyRBHwk59MzZ7l4eXL0CQ4gIuLyH5XHPM+dLsAoDGbEdYdx8okfrUdC3wO9EfYj53bSqDbdjcaKbx6FeL1a/bZBwHv6d4eg51nz0hMJ/J8cQyTEFf47LPEjg3Rp57P2XM+mTBoePgwwf5+avchaQ10ocnkVfGwtZWi280xHrPnvt8vyOrW1nKbINrYyEwCjr34wvmzsZFgd7eMOhPFE0nw1OtcM1+8CM3YzA0ZYOHHdTrZwmBQAsHq2iv7uUD+V1kYFuultF1cXQW2CFSrURFAkuAyD66rBDG4LqPOhNztOiHpdFpu4Ws0Mjx4kNpElHAFiTyi1kXF+DZJ6buYJENFucTd+yYTBoPSdrJoj3Vh2dXrlPctenaLTPaKasW4+v4fcp8T0xrX1lDXBOEqfqLLfyNJ+w/ZRE3jvu19PbsfJFhXSv2fAfy3AZxqrX9mXvv3APyPAZyZt/2vtNb/kfnbvwvgfwQgA/A/01r/xzd9x8cUrF9eephM3q6/YTgsV0QIDbtepX8XW9Qzwyrnu/fOCHyZlRlqeN4FPitBsVQ5qkGnsM36vltxLms3AwKD9C37NnC9cigmTPISrE+nqZVOEhNYbrudIwxzBIEyPxdfS5qSOVeqM75f7eW/3l/vbhBpqqwWsLRFSJ/kso1lkck1JwnvVRTxOggp9O19qx5DmNoBOsurArsqi/sySxJltKDL51b9XWSSbjtuPC/CbOZhMEgty7rYouPfxar3NwxX66N+DMaqpypVn27zmVUOS62WGxjp3c7lfToxUunr9XzT5lI4w+Mx141uN8eTJ3O0WgzOGUhx/XI5Q+RzrRYrWqyYlyGfAseVscuKu1oIccyyMmfDMqfQRd0I+ZwoAgAcj5ubqYVCuwGqQA9FHm4+Fxmx3EkeFuzTMsf7fc+2P4jsnvSquhYEgYG/5ri48O09kfcJAqhWo943Ibk+3rwJbPDQaOQ4PKSEVpax2i3IEwnmAYHAZzg+jiypapoqDIcKWcZAlmiQHE+fJqbXPLcoHs9jcBJFXIdeviRSQs5zZyc1GuxB6XmIyfpJ9mr7dGwwMhr5CMMM/X6Ak5MAaQo8e5ZYyO/lZWAqrky4UpaRY4x93oTgb25mlh369JST6ezMR5IwEI5jhfNzHxsbGR4/ToxMJ5N3vq8t4VoUwUK219YyAzPPcXkZYTgMTPKAnAKeR4mxZpNa6gcHKdrt3D5/2TfqdeqHD4ceXr0KLULs8DDGT34yR6NR+CoXFz6++SbEYMBEj/T3R1EGrdlywCDSs/uq57EdotNhFV2SAu4Y6HZzm1jr9XybeF5byzCZKDx/XlTG19cLxv+joxCTCee8JN23tgjZFaQGJS7LwToh4jmUyvGb31BOLwwp6cUx7wFQ1xB2i9bLZWutPKfbtKIEQYTzcx9xzCqfBFgk90WptUYp8gRcXQUG1QLn9aIq6r4uyEWXx0JQhoKIkGciwdH7QF0JSaP7/KWlgpXvcqKhWJ/vRqT5ruZWjF1GeCFUk989j75lmt5PddZ9ZqJOItKGLmm5e/8ou5fZdg+S+10nD5ax4RaABML+faNub2PCG/MpWL+FKaX+IYARgP9LJVgfaa3/95X3/i6Afx/A3wPwAMB/CuDHWuuVd/ljCdbvGzKRZWTaBIoN4DbkP8tMIClZpuzmNZ0qmzmV3rIqRGWxBJJs5pKB8yxrtbCELupH5vEWn59IPEmA675PKkOzmWeDMqlq0el4q1uC+Rw4Pg7h+76ppHDjrWZt+V46lO128QetWT2X865ep1ulFqvCTqv3YGcntXBnOcfJxLfoB+mblO+gDjgqrwEwRB90iMp9cuKI3CbQXmYC61tceZfnpUzSppAJXGTSWsDKS/H68qBeoFgBarUcvh9/NH1QH4JJUOL+AwoiPfc1WTf4WvF/CeaEtO+uVRTf59rmkgO6KBl3HQrD3CBMONbPzgL0esXAZdXYt+etFGUoo0hbdIgwRkvCRSqmEsg3m5lFp/T7gdU0T1PPaJszABXioGXrmQvVlcSiwF/l7/V6mbNBgu1+37esuYC2959kTOUWCLfCWGgGa/T7EogWyBvClnMDmfUcuDZwekpZL60LqTLhbNjYSFGv8zvZfx2ahKrIoqXY2kqwtqYd0ing5CQwQR2dbEE7PXqUYGeH1dLf/CbC5WVgK44kLdVG75xoHUn6jkYM5ISBvNvN8OxZbPo+yw9AEAziyCUJ+9ml71mkxYiSIuSfgRfX8iQpL4hJwvMTvg2S1ikjBebbdrSdHQbctVpuCUUZXLDfmczwCuvrub2GKOIxXr2KcHQUmCSRsr36a2spAA9pyiTmT39KOTBCyXP81V81MBx6Zgzk2NrKjOQXK/5XVwUJ39pajv39HF9/XUOSZJD94e/+3TH6fSJG2N+fmGQGx1K/H0IpgXRrkxgI8fBhjCxjYjoMtU3CtNsZfvSjGWYz3pvNTaINTk89AzVXaDZzbG6m6HQYuAtk2l3D85z95m4Bg+1pGrMZLKJkMPBRq2kcHs4B8L3i1zSbmTnvIokllddVScg4Bn7zm5oJ0LV5HkxiNxqCvLl7gvIulue8t4AwoYfodDKcnCjzzJncZnIFJYI5JknYxrGqdVDmCFAuZlR7tjc37wcaLsWDqysy8EtQyzUPdhy3WuXgMAzLfe03FSqW2aLE/V0KIKuuCwBcyU75V6+TMPJd4gLh5KgS3cr5C3x/EXJLa+6X0k4nibhV5MG3STi9bRFENO3v0mbnKpS43+/779ZOfJP91sHglVJPAfy/bxGs/7sAoLX+35n//8cA/j2t9Z+sOv7v//7v63/6T/8pfN9HnpOJ0xwHnuchyzIEQYAkSRCG4Y0/syyD53mQe6KUQp7n8H3/1sdI0/Ta+YRhCM/zMJ1OS+cTxwm0jjAep9A6wmyWIggCex55nsPzeIw81+Y1XlOapqWfw2GK6bSGOE6RpiGurjSAAPV6CqV4TRKoaZ3b++P7fulnve5DqQS1mg/fT7C25sP3U/i+t/Aey/1xz6dWC+B5MVotHiuKFt+X7/s5+X6I8/McWofOPaY2rtbUep3PA2RZjjD00GzGqNebGI0yTKdkfgzD4p7LMbIsx3Qq/fXa3O8MzaaH6TSFUiHyPINSPvI8Qxj6qNdj7O0pKMVjJkmGNA3geaILX1xTlqXI8wDn5xpK8fs9L0Ca8r5FUYytLWWetY80zSHOPBdXD2mawfcDxLGce/G8fL+4pskkw3gc4upKWQSC1hq+7yFNc4Shf23sLfu56DlpnaNeVwiCBLVaAN+P0W4HZpwsPhbgYzrVmM18ez4yFzyP1+L7/JllIfr9HLVaHUmSmWRAZp5J4ZwBGo2Gwvp6jHbbA/D217RoDtz0c9VckOfhjrUkqZ5HasbG7ebkTdfE+c1r4pqTIwh8pGmCMAyQZTKPi5/yeq0WmvHkAeCaRefwrvM7RZYFiOPQVHFj577k6PdDnJ4ymE8SPvPpNMV8HuLsTCFJAjQaCTY3+UzIkMwAQPpWZW7W6x7W1mI0Gp6Zk7wfWgcYDDSaTQ+jEfWoAW2dFMJJyZpNxYHUzqso4nNRKsB8zmONRjABTm6dZlZ8+VqzqRAEKYKA669SPq6uYJ4f14paLcbOjoeNjRhRVATrADCdasznoZ3XaZoizzkHZE7Iz81NZc6Xa4TvKwM1V/B9hSTJ0Wx68P0ErZaPBw+mWFsrntt8nuDlyybG49yOM6WYEHj8OEGzqeD7PoIgwNnZBMfHDQwGOSaTCEmSYjYL4fsJHj8GPC+BUiFevKCMlSQSlFI4OIixuQnM5zmm0wBxTLbyszMgjkM0GgnabQXfz7C/r5GmObT2S/N7bS1FGHqI4wyjUQ39foY8DzAaaQA+ajXuaXGskWU+Go3MzGWN+dwz7UW8zlYrQ6dDZYn5PEKvlyPPA/h+gjwPUa/HOD+P4PsZ+v0a8jzDw4esclP/2jOBvUK7HWNnR+HlS+DlyzrOzzU2Nigrl6Y+Xr5U6PUiHB97aLWAvb0Eh4cpnjxJoJTGL35Rx2wG7OxoPHgwR7PpYzTK8OWXTYxGGkniA8hxeJiBEPwQ3W6CWo3QcLKNc7978ybCt9/6CEOe3+Ghxvb2DO22Qqs1R5qG6HQS5HmAiwug1wvRbLJ6+fRpirW1FF9/3cDpqcZkEqDRSLG/D7DG4uPRoymCIMTZWY6jozq0ztFuA7u7CU5OiLoIQ41nz1L84R+OUa8HODrKoVSEMJyj3Q5wfp4jjgN89ZWHJIkQx0Sw7e/HBhkivg3HY7OpMBzmiKIAnc4cSRJiPM6xtaWQ5ymAAFpzrjQaKba2NOp1aYFY7EcoFeIXv/AQBJznBwc8VhAEWFubo15/N78mjlNo7SNNtU0yTadAvx8iSXIAHBd5Hpi+dB9aZ2aupVhfj8w15ajX09L+1GiQb6G6H8h6J3vNZBJhMsnsfpCmPjyv4OHQWqPbBaIoW7i3uP6Eu8e5+xPXLQ/n51zDx+MMs1lo7hPX0s1ND1EUo173oXWKnR2FMHw/fvldn9N9+7BCUsb2hcXXlOchzs/1Ql+N+5aHtbUEQbD6fKbTBINB/doYWFubI4o+jPjJ80KMx/SDZzNdOp/xOLB7rnsNrZaPRiNe6KPlOXlHNjfze7+mer2OLMuQ5/m9jpsvvvhiabD+Q/Dp/k+VUv8DAP8CwP9Sa30F4BDAf+m855V57Zoppf4dAP8OADx48OA9n+r9WJZl+Ff/KsLlZdMMttAMqhC1mg+lPDQaPrJMI8tCjMd+yRlipqrYkPjgPROoePD9wPzfh9YarRbw+HGMWi3HaCQZUTp4rZZGvX598b7+E0jTHEHglSA0t7tesocnCTcgOqIw11RABgm550So1TxkmYdarYCIrqrIac0e9tHIM5UWbYILzwx+zyxonnFW+f9mM0azCTCoLlefd3ZytNsxtJYJlKJej81C4pkJldufiybhfK4xGnGT9TzfLIqwwZY48+fn7HGbz3l+WqeIIsI3s4z6uO12Yp6TRqfjYXubzvpsxr7MyYQZ2jRVePkyxGgUwPc9ZJlU5pQZNwpaZ9jc5P95n/iTDg5JiaSyt72d4osvUoTh+128fT/HaJQizz1MJnppVZfVfjLPFuejzbEyk7RQ9ufubopaTdnn5i7e7mI5nfq4uPBxdkbd9UXjRsYToLC+LkgBDwUPggKgzDyh45vnCmHIcRxFRQ+/76eo15W5j1iweGvzN4Uk4f1f9pPJl1XHQOkzvq8wmzFAmc0YnM/nZCEmsQvvNYx8j8hNEelRVJFJgsiqpOcFoKqBrEPFPS4nVRj4y72VuUjUTYD53MNkUkOvx+C4VgPCUEHryIwdJopqNcJ25d6PRgpx7COKgCdP5qjVMuR5Bq199PvsuZUezAcPMlxcsFd6Os2Rpj5OTwPUaqJfHiBJFMLQh+elmE49NBqpDWwkaToY+Gg0gE6HkkR5nplAN7PPheeeGBh5gkaDczLPlYFr87wHAyDPC4iiUqx6P30a28Cf95jfQbgnK5tEnChMp/pa1aTVyrG3F4Na4ynyPMfFhTbPqeC0iGNWrDY2+MxaLQbp43GOy8sA/8V/0USeB5jPc7NWZHj0iDwZsmbOZh6urhS++44JFrLd+5jNQuzsAP1+Ds9jZbjdBoAQb974mM8j1OsednZS/P7vxwhDbdZ7hV4PeP68juEwx/o6K9DNpsKzZwz+ZrMMboDQbicIwwxnZ8oyvxMOTfkw7q/kfdnfZxKZc8LHcJij2/VNIOej11PodhP4Pgx0PMd4rDGZhPA8hY2NDIeHMWYz3tP19QS9nsbTpykmkxyffz7FdAqcngb4+c9rpupPBMjLlz5evWpiNgtRq6XodgHfz3B2FpgKV4C1tQRffJHgH/7DGXyfSYU///Mm/vk/Z/X0Jz9JEAQpvvuujv/8P29iMgmwtkadbvZSU8rs6ChEmmqTkIns3wYDD9S2z/HkSYp//I/7GA5ryHON7W0PcZwgCFixV6qAgjebGX76U0pMDQYefvWrCP1+DQ8eZFhbS/HsWYYkyTEeRxiNPIShh3/xLxrwfR/b23M8e5biu+/YBvfNNyEOD1Ps7eXIc43TUx//wX+wBs/zUK8n0DrAZMLxEUUpWi0P29szhGECoNhTGg0NasJLexvRfCQgJQR5aytHs5lCaxK+bWzkCEOusVmWG2SL6GMrg/LykSQa335bRxyHyLIQu7szCNGq7xdz6OoqMGucWpA0VXb/TlMmpNw9RX7muW/22tz00ytMJsD6ujYtDT5+/OMput3UzOcAeZ6iXpfiiEaakuQyCJbtucV+MB6nGA6L1o7plP3Hzabcl8yoIKRLggus3J98X+HkRPh/FNwEue97WF9PEEUZdnZiI9G3yH+Q7wjv7H9+LJbnOYZDYDAQBEMxXuRns+lhZ2eOKFrkA4j/WT7ubKZwdRXYY4ift7+fGX/UPcYPcOFLzPNgW0jEDxE7PEwRRanjf7pB8rL74iaK7tdYDMje2/EX2fddWd8DcA4+if8tgAOt9T9RSv0fAfyXWuv/q3nf/wnAP9Na/4erjv+xwODr9Tq++SZAr7d8ZrAHSGNzMzFSHu/nXKQnzLXvi8BOpIiEqMKFzJZ/Si9SGRbuQp2Agi34tgyUdzGSKPnw/RrYa3q73hRqnmem105ZaGTVboJVZVmZbX0+h+llJex2fT3D2lp+7RjudBbSGqV4PYNBYBd2gRNLywJh9HT0l53X20DBRCoPkKpiOUHiJm7YwkAIFH/mEMhu9f03Wd3oycxms7ud8BKLY2Wfh9xjN6kgPcDyOwyzdBBo21Yiz2/Zknvb++u2n1xnT9VWXk3aR6irrG07gTwPmWtC+lOG/V2fd0oJTI3P5TbnO50SyjiZeFZ7vNrCIERI6+tMQEwmdVxeeri4kOskbLzRYI8yWbhhScSE80DaXvK8cN5lzHge5aSShL2xAs0GyrA/gb3LeiLEkYvmMO+T+1yu/10pQlXphBQ928JSu0jVIE3J9k9HnQdNEhg4eLklQOQetV7cayjfubZGSKAw+wJcU2o1rsnC0A7wPm5tZTg4SFCrcS86O/NxdBRZhMJ47JsWAzrjMm+BALOZQhjGSFOFep0w9XY7w2DAYL5WE7I6BugnJ4FttQKAVkvjxz+e2WcpJlwdDBY0Xr+uOc9YG+Kz3M61KNK2nWcyUbY1J8uUuccK29sFjJcBIAnwBgPfJNkKGP/ZWYCrK2mDAE5PmWydzZTRb+f5seeZBGxXVz7CECZoyZHndEYnkyI45J6RYn09t2vk6amPwSBAEGjs7ycYDnmfZe/c30+NprPG2VlomNY5Pyk5xj7UwYBSY60WWckPD2N4nsL5eYDhkDDz3d0Mm5seXr/2MR5nJpnNeUCmcyaImATgzXr8OMHBQYKrqwBRlCHLfNOSkZlEJzXq2dOszPVp24PdbLL/XXgPdndTZw4VyBGxRiO3Ep98VoRpBwH73aUFkLJ+OS4uAhvk3VaGMM+Bv/7rutkrfTx7NjfrTNHzrDV9KJnPVZ9k0RpA347nJW10FxeFHneWcWwNBr6Vq5U+W2Epd03WDvmuVXud1uxZl3VhNiMawW2ZlL7/u1iSAN9+W3OSf4WeuFJcb9j68f79yg/V3Hu/CCoeRTW0WhphOHnr4y8ih6vV3r4l9vuw6VRZAkfXRGXgQ5Bkvcnu278U+2Bg8Mv+9rYw+I8lWPd9H5eXPmaz/JqjCvD/UUQnbjaTbOTNtmqDcE0cViEkq06GwYABtHscIRWRXjzRMq9+911MnOYkUQ68qvibe0w617fXrFxmJPq5fn2uJQmvMY49e04SdEcRs+7ZW6R3hfjuPpmexVyHYZF1uxnyXNjz+dpNvUREKviWWMo1+ewiTfabrAhmywGt+3+thUgQlshK5Obc4Pi25psBJs9t1Wd5bcsvqPrZZUEq30dHU4iW4pg9g4sSDSQUY+8+IeN0DO/aY+8+XyE7iiKy7wrZVNUY9BT9c55XSO4JmWM5YNfmu8TBpCySsIhPp0ywSf8mAxHA93OIxFW3m9sAbDDwjZxPkUSQ6263yV4shIvu9bFHz8d0SpIeyncVJGHzOaW7hAVbPgcUAaL7mmvCf5GmhayVJAQXPZNycqNIsFVN+mnde7mI/0Neoxwjz1fGju+zt5t95dwjxAEXJ7nTIYrHJa+LYxLqFUklZe8p0R4MIBsNURVwjwtDXhYYrgyiG9hTmCPPFXZ2UrvG9noeOh0+v36/eLZEYZCNXilliNREuozBqJDNjUa+lYhjsqsYL2GYWxWPIMjx6BEr4MOhj5MTaozP5wx8tCb6RTg41sbHWPvNL7E+eQN/Zw3zv/UzNH6yayvooh9OlvbcXtPxcYDjY/ZHkwOD7Oi1GrC/H6NWU6Z/P7fByYsXEfKc1fUgYE/6ZOJb6cnZzDNM5Cm2tnJL/tbrefjNb5iAaLfJk8B1kIH41ZVvuQSyTGN9PTfzKjMqI0CtluLkJEKWUd7s6dM5ul3e237fN/POQ6eTIooEocaAutHg52cz6szXajyPKCLjfBwr7O8nhiOF6isPHiRWH/zly9COf8+DlXMjKay24/fVK/bqSoKDxFXFXKgG5mLr6ykuLwMrwSU6550OORd6Pd/6GDs7nAtCkFsly2VFmXPpq69q1u96/Jj98Zub18lexdrt66Rzi6walBevMZFQzG1tk5DVY25u3qwU4e51biAk+zlbQvheKgrcHJiL3FvBk0GTZIrva4MAuvFQv7Um5LjLfAulOEaX9X9XfZTV30UUR9XW12+XiPq+jck0f2GS+7Zj8EO2uzy7u9gHE6wrpQ601m/M7/8LAH9fa/3fU0r9HoD/GwqCuf8vgC9+Wwjm6vU6rq48DIeszi7KxpLt9npg5fuw2rKc/Dcv3uJkCQuwOLlxXBA+LaoIud9NSRqppmmnip2XvkdMNgYxz2MWXSouEqzUarklcrmrxbHCxYVvnYXqNbvBqFQPWSnLLRnSouEehoVGefW83lcG7X2a1jdr1Bcyctc/KyRIi45Lgh7f/t81kZmr17VFPNwXSkjQFvLPDSgWmfSDzefze/t+yvUURIZVk+CD97RoRZDKNVAOyiT4kM1WAvwkqVa5YT5b/J9ay569DyK7JyRTUl2XIE3GvgSi1QoslRZ4LuyZLJ6/IGLKyTSSm0kA3mplhpxNIY5hgzGRbpI1QALiVitDq8VgZDYrpO+yTCGKQuQ50OvlmEwKqRjKHcpchYVukmiKrNpCziZSXHcxIY0SMrll6CZJGMh9lMpGEOg7JrI0hsMC7SLGFpvr5IxAUTkUEk05x9kMNnl3cRGYhIZUThNb0ZPnNR7LPiAEjwz6ReuaJJA+hBzU85gAlJ77y0vqV+c5kxFERuRoNkPzvObo99mTTLQE26mCQOPiIkSrlZUSMWtrZNRvNHjtLsLHRWNcXXno9wO7X7JSz2CHewJ73jsdbSv//vk52n/6/0PWbCAOGxgPgNOLOqZf/ASz1jpGIw/r69QXF4I9SWyT/I4oAc9TiCIG5ayUMgCdTJSVhvM8YHs7wc9/3kSWFSzm3A+ZGKjVtJVYm80os5embJXY3WUAKozoJycBAM4TEikCDx/GaLcpY7e9Tbb5oyOqjNRqGv/GvzHCYODjr/+6htmMSYKjowBRRBK19fXMVmy7XQbTjUaITieH78/R6RBV8Rd/Uce33zLxsLOTGeJRbUnFjo4CvHxZTLLDwwR7ewm2topE/8VFYJAuHk5PA/g+W/Tk2bZaWUliUEy+o9fzMRx6FtW0s5NaosE0JQnscMh1Y3MzNeOlIMQU8j8Z2/LaN99EiGNyE3z22RztNucuUE7G3uQey7js9+kvua+PRp69D5LEYPuKxsZG+YKl8n4XyzIYVvfIJApTtNtu4mZ5UDSZeFbdZjQqqw0B/Gy3m69MWvw2m9ZUYRIZ30WV8SC4m0JN1Zb5loNB8TyKOOD9Eqa9rbkEb9VC5H1Lkn5I9ltVWVdK/fsA/usAtgGcAPjfmP//bbD89B2A/4kTvP+vAfwTACmA/7nW+p/d9B0fS7B+2yyMBASuYyxyY2kqzMD+tWqjTBIX8rm1RUharVZobb6NVTO1rs45wO+jTFA5CCfTMT/b6xUZNjnv2awICG6CkorJ4kiptLfTaic0GDaAWOWUA+8vg/ZDGzf6QsbOrWSL0xGGTBTJuLoJ9ixBHavFi6FOVfiz78Norhe/R5EuvU9+FpIhfG6rzsXzWLkdDAoN+3cxSfrcxJIvSQWp+kpiibJoBQM+70URwPOzRctAlf28ukxHER1ngUCnKb9LZAFJkCWs4zxumsLKOYnTSlZzqgrU63J/WdElRJWBHBOG2joxaeqZyrm21yhVlyCAkfwqqum8RlbdyXieWwdckgRkxg4wmTDwaLcT2+IikGauJbzHUn0T+PwyqyZAb+uIS7WuWgUXbXGeV76wIlY1kR1ybTz2StKLcj5Vx0yc/flcldZSsasrzyJiALLd7+5mWF8nA/j5eVDqTdRaodvNbOKm281wdcUqWrPJ65GkapLAcAp4Zr3gWNvZSbG9TUf+7MzHt9/WMBqxp579hILWUDbhW6+TRV7YveNYodfjuff7nm17EoUIeUZynMtLzzLpC7S/281Nmwer1vU6OTz6fZ7zfO6h+6d/gulAI46a8AONZjBHO+vjKN7F/O/9EdrtDICHg4MEDx/G2N3lWt/reXj9mprkIm8kiYG/+qu6DVRZJdUYDn3TOgX80R+NkGXAV181LKt5GFIHPghYce31GLD/7u/O4Hkao5GP0cjHd99FoMqBoGQY9EvSfDRSFl57cREginIcHqbY2spwfEz+jUYjw49/PMPVVYDLywAHByk2NlK0WhrzOYNvWWcpJcfAL00z/MmftHBx4aPToW52t5thayvFfO7h6KhAabRaGR4+5MASJMtsxrWq1wtscAxwPdjfp1Z6tbWBRH4KAhuWQPvqijKAzWYBC3fnkedRIYASq6vnX54D//JfNjGdcjz+6Edz7O2lK9fyRdbvF0lwubbplBwzUkGVwgW5Y9gi0u3y/JUiSeXboKcuLrhfS3At6MMw9E2iMrVIqipaMkmKBCpQzO88ZwuHFDOq37lsXVsUvMrrlEvUd2L1/r5NlCCWXQdA5Md9t1eWzcflJeecu/63299PW+ptLctgW9iA8l5Vr3/8VfK3sd+6yvr7to8lWK/X6/j22wC9HqOgqpMOFJvxbfWpVxn7GwNT0YOV9uJ3Fu8ZjXwTHJU/O50K6RKd5FZLKqbXq0aS3RY5GjGRGKOerssqWgQ+q/qj35eJo1/oYKrSIlS1KJKe9eUV2kUVe9fRrn6nOCM/1CZWzYBKHyh7xLUNPuK4QHtUPyMQdoBVMakOr9rEF5nIswg0fjBQGA4Dp7pc9MJJYFfVhHaPnecwvaaRCYKm11opbnvfRfd6PvdKFfE8L5AbVXPh5XTOOfZ9v5DkchMQrt1mTGgtWt2evUesqng2wBGJHX6HtnKMEkQL2kWetUj4EZ5MVEWtxvYNSaqMx8o44MogZnIIH0GjkcMkmu33izRacR7l58TkTI43byJ7zZ5HFu+9PZLO9ftlJFIYwvRe368zmOeFM1I+R1zTSr6N9fu+7QHPMpgKM6zDLklXSUBUE1MCA3dfF/k1GSNXV0XQXq9nGI8DjMfFWib3vdPJsL3Ne3Z1FZjPKlxehqZNR1sHu9PJTTKGi/VkwrlJuDHHCFs7FM7PPcSxb9ZyBu5XVyGiKDTa24kJ+osA5vw8BNnWld1f2m1t+uK1Cby1TRDJfQII93zyZI4goIwaCdkWPxhJVsk59/8P/xFqey3MsghJZhJEfoofZ7/G5T/5H6Ldzm1VFQB+/esahkNW6Q8PY4MyUnjxIsDZWYjpVDS0NY6OagDY576+Tgb2k5MI/b5fSky0WjlevQpxcsKxsL5Oia/LywCvX4cA2D/f6aQ4OEgxHivD5E4Stl6Pff15znu3uZnh0aM5Dg8zxLF2qtMacUzSTN/X+OKLGGtraalq2+mQ6+H0NLByfb4f4ttvyZz+059OcHiYYXs7xfFxaJJiXHc2NgjrJWEd/YrJpJBmk3mvFMw9yGwyCmC1TXwBkSVkslaeXW5Rc5IMGg6Llq9ajQHqbWw+B/70T1t2Dv3BH0xv3ZvtVjfF4pgJhWrhQ9rsxKQqLa2Eb2O93vXknNw7aR+Q7xQU2XQ6N/wdCp0O/bXinO4X6bbKBMUp7WzvO8Rgi01u9ywiC72l6wPA/WdjI3snP/u2xuTV9d7yRqOGra0McfzDozbdc6wWz6Qg9zcRYbHMfqsq69+HfSzBuu/7uLpiz7pUCuisahNIaEt8406IqhMnv7s9SOK8E5KobN+fBOfLz4k92YXkWBFYMigqvo/QVc9kwK+fkyQY3NeGw+swbIFlSeB/XwtlmhaVYam23WZTWgQ1rv7N84qe9UXP4zbTRwI1Vyv+QzF55iIZ4/5ehXsvCiZlvE0mrKov04kHpB2Bv7vBr8DHJWkgms7u94pJxd4lyuMYVZbVfDr1MBxGpl88tzrZPNb1RBlQkOTI90kg2u3m1/rCFt0HaT2Zzz3rrMq5uYiAVc9e2NfdsTwalStRSrGqXq9Lr7c2TPbaVszd92qtbBUFKCpTcn7l7+c6IkRIbtDfaOTY2kptgAyw2ivrTDVhwvWCLOYAHdqzs6DksDSbOR48SEzLTeEk+L5noN7LCTmjiEGeq0l+k7nVqSqk/22ckTwHzs8JyT4/921g6SKZCB9PkWVMsMQxe7nr9dzqv1dN9N4liQXwvAcD3zwT2GcEcF39/PPY9g5LhXI2U7i8JAu1ZzRsRyMfoo0tpH8A2waSxDMybiiR9o3HvuWTECbxTocnxj2L1ebDwwSTSYjxWGE0Aqgwoe137++nJnBlxUo07ikZqMx1EvY9HPqGN6SAJrPnWGFjI8HDh4nlHwCYZP766wgXF6G5J9okWYHf+4v/B5JhgnG0Ds/Mya38FH67jt5/5980CQwPr15FuLgIsLmZGIQR+6tnM2V4FzJTZWKCaX09tegDgaiHIWHvW1vkDHnzxscvf1nHZMLgfWsrNWgHH0oxQD88TAHk+OqrBuZzZc6dbS3jsY8oyk0gnxtER44s83B66uHlyxqazQy7uxl8n0ztUQR88cUMYciAudvNDExbGX106o9vbqYYjz28fh0iz338/u/PMZkUwbLoiI9GDP7dtadez7Gzk2Jjg4mcy8v/P3t/EiPZlqYHYt+dbR58do95eO9lZmVmFVmVVWySTVAAJYjdAhrVElBaqiWgV+KqFwK06YU2WmjT3YIAAZIWDQEEQQFEA5TYaFKqVpOqahJVzKyc3nuRL0YPn93N3Ga749Hiu/+595qb+RAv4r3wl/YDgYhwN7t27z3nHjv//38Du4TkviepwFix0DWLLhEEYBgSKSA0jUolQaeTJTe1Ggv714mzMxO/+lUZAOfqH/7h6NKu+zyxK9lPzOuqKsXmRz45X12NsLX17rLa/b6Zaj5kVWXLIkIkfw+l4CnoADk/6fIpFReKId/V8P2it3YcI6XtSJMJGlX6LjG757mMJjkbo5GZIoyKP5/HLf82UJvztI7kO+a6QozLWHbWbxy3JVnPc9ZlMZ1OgcHATtXCmWxIgiQxmxQQlmlqKLyINUmHRjZqslDJAkZvVTnm5atNXkE8fx5BgFQJ19Td4XkhXygiqpQ/ju/zi0mUjuVcyC8tzsPL4EmzQY4qE5JyORPQm3eMm0739819/rZj9h4YhvCfycmUIpKIfuUjQwlQETovXCac6UViKrLJme1WyO/ySATaD6lCtzY732LXOP9v6Wa7boyNDRemqXByEuDkxNWFhEV883khHeJZjjzpFNm5y+fPajRk11f8QOHSlkpJoSgmx5DE3nXZRaLgk3nhmZSoVLLO4Kzbw+x40+anKEKWFaaybkOeJpF/TT5EuTgfcZwJKOUFcWq1GBsbUbp2FY8zu0m4qmqdFUYyXv7sOXS78yGO+ULnvOOORuRBC4derlt4+JNJVpAyTaVpG+12jEYjnhGyUlqVXsTF5LNNM7OVE+71+bkFSVpFhT7j+CeaAqRUpiEgvOD9fQe0hiO8k2gmfi80Gkla5CKHltoGhJo3mxH29zM4NwsFSAX+Ekyn0N2q4dDAaETbviQxUC7H8P3ic9Vo2KhUYlQqvr53o5GJTiebS3KfbZvoiNHITGkT9OCm+NrirlcQGDg6ovCbjLFpKmxsRHMTrPLJPrb/v/9PbO7EsJoVmMMh7H4f+3//f4r/9u1neP3aw3hsYX09QqsVYW/PwXjMNY5caHK86/UEd+8G+N73fOzvu9jft2HbCYZDB0+fTnF0ZMNxFF688PDmDUXUSqUYDx5ESBL6mtfrMTyP1lhhaKV6DSZcN4bnZZzqZjNDstk2Re1MU+H42NGQ63Y7SotdTNoBWhhWq0qvAbRyNFLnAc6h1dUYP/1pGW/eOHCcBJubMVotJ+2gjTAYGHj2rITJhOOyssJCzOpqlKKtLL2u+D7nabPJTnz+2ZLutKzvsp7JHDg5sfX+pd2OU2FAvve6iUMYGjg5sfDVV7z+ej3G7/7u9MLciSLowlT2XqRie7NiqkUByMHASh0O2J2WgsK7xHjMoqVo7wAZyjDPfxa1/HnFb6EcStxGXZ1FMfu9kw+5N0Ir+KaQibTSMwuF6SgihWcWOSYCvFeF5yVYWXHhOO9/3Ej/s+aiGvPOBst491h21m8YtyVZl876ZJJoWJNlZdU6JiasiktnLQiMwoKVJPxi5Bd4MVlZZOVE3pvCeJx1aGa7w7OJm3TcZzvoN+0Oj8eEcs5+5mwBQjiwALRAlvx8ZWWxkmY+lILe9MxCja4TsxDvfOQ769JVuE6F9V1C+KBi2XTVtUjSQrGo4pfGTc5PqAoiQiXFoygytM2R6CTIfF3E9xdhw2zuKs3fJuXAuDD3BG0i5081YBSSpXzMGy9aFWVcV8cx0+cq1FxWdp+vf1/Evm92w7QIYTAaFaF3eX5gvojE4lqcduHNtMMo/PBiAYJJETdzTJguFjzmoVxom8SCHrvQGc+/1YoAGGlyWIws+bnaRmU0ygoDAt0WHuWiREuEoy6L61atRSFX5iw3VJwznhdjOr1cM2FeVKvsngr3WGCAskFsNrMCRRSRzy2iZ1LIESrRZGJqHYAkoVI5E8yss+/7RsrxpMI51zELpVKMdjtJj8nOs2FknUApuEwmBmo1ishZFpPtzc0I47FZsGnzvCS11eL6cnjo6AR7ZyfUoohKGdjbc7RFm+MYKayd5yl2kfL8Nxpxgd4Rx1bKW050wU8KNfLsZRZsvAnr6/OpBsKVZPHE1HPadekWcPduoKH9vEal1yogU+3udi0YL/cw+pfPMDiYYte8h19av4dxqYX79324rkIU8fi9noX19RCbm0z8f+d3pnpd7vVM/PmfV3F6aqXPk8xXpOOh0OvZ2N6m0NrZmYOTEyv9vqZCOa0DWdTp902NXCuXqazuOISR+76pUU6AgWYzRBRZaDTYYacPNRPeSiXB48cUbTs/pyig8Ejz/Ndez8S//JdVvH3r4t49H/fuRTg/N7GyksC2TZycWOh2Dayvh/jhD/1Ud6Y4MFL8OTuztOhdux3rIl3++ZrHve31Mi51sxnrTrthEPZ+FUpG0DHTqYEXLzxYFhP7731vqr+/ZlWohc41K9Ala+3sFrjXoxOBnEuzeXM4exAYePPGwfGxrZF+bGIQ0bC+HqHRSHQRYd4e6bpK37dFV4fw9KuFb9+HC9D7irxIYj5YLHu3gkFGZXPSQufNx02+bynqK1Qi/u67oLb+dULur++zUHhd2sxNYtlZv2HclmR9lrMOZEmWbDR939SdSfFGzsO/xFP3Q8NUxM931ndZYhEUvFq92JG/SVDdN4P8ysKeV8bOqu6RVjvNw0EXBSuhApU3Czz1RSEe1JZVShOxANOpqYsCN73O2fsmn59fVKRYIslwnt+cT5LzEOVZTYDZz4xjI+WPza/Sz4aIkIntkSS48+gPsyHd7Vn7MeE48xquPIUbhySxAk1ksualxQx/4ZwVmPtlzxSVvy9+WedDNljzqtZKcYN6dOQUNoX5hFy6nSIkNq9II59Rr2cbRwq9iUp0URdC5oesLezSZMezbVy7OyGw6nzxcDAw086y0pZveaiqWDXNezZlHkvCR/h95ovuuuySDYdBqshroN8nb5jnK7zmTD08jqFtEqXgM289Esik+GO/fevqDrXc51otThOH7M1RhEJiIdcovunlskqPiVRFnUmioE8EQbW1FWpNCIGWSzdSOmb1OpPqw0N24GwbKcKD0PKNjSgtuCBN4E0tIidjHseGVuPt9azUD50J7WTCOe04pFBQnNDQHuOCmKj0T7D++hdw+l1Ut0po/t1PkDy4g0YjgWEovH7taZ9siVrNSX3rJ4X5IBxcOYf8Bko0A5jwWbqjOB4Dpmmkwm6c+/nCpGWRk35w4GqNAEGGHB9bODsjRUE607u7Ttp5V1hdTVKRU0MrtkvR3HUp9larxTg9tXFwYKHbJRz+3r0A6+vkx66vhxiNDBweuukYUKQxjhV838LmZoj19QgbGxEqFYX9fQvHxy4mEwOVSoIHDwKtTTCdcrwNg1aEm5tRuo5m2hciGnt2ZuH585JGZwg3el6BO4qAf/7P6/jFL0qIY+DTTwM8feprO8XV1RD7+y6m0xLa7QSNRub5XK8Xk+0gMNDp8BlwHKXFAwF+P6yuRnPXE+FeC6Q472Cxunr1Zlc69NMp8OqVp693ezssFEdF2E2KjDIvpVg2u4YbBvcSsr7fpKvPOZutifv7dsENx3EofnfvXqDdEKQpIZ9NhBbvwdcp/n8snfV5/vOzMQ+N9THErIiaxLtSpK4TV43baFQUmway+yq6CPNEqYF3adhk9oHvO0RsWvYh8+Km57so5Diil3UTmtxNYtlZv2HclmTdtm10uyYmk6SQfOU72PNCIK2ZJzU3Y/QfNnRCqZSR45tnM/4if3Xx/28a0m1gJziDiPLYi6HKokwtPxMI/3UfKCY0ZtohQvqZ7FwsStyVkgRB/k7Qbie6szMvJHF2XSv94g+1UFjeq1U2CEWIuHGlsIokVHlbucteO8vJz5/n7GsFmggUE6N88r/oc5hsz1fXvemCKvdQtBny//7QEDY7/daJootcQikEjUasTs8rCElYltLw5vz7hXpB/mjWpZ5XGHDdRAsbiYrzohABJwkpQuTPKwgIc6MPtdI8+fyzL7xgOafZQoUkqKTfQKMoxmMj5UbP8tDJF5auc62W8aMl4Zz9DLFlyyf58tnSAZW5LF1j8v1F7ZkWWa6LuYm3FK3y83te+D7PeTi0Cq8vlVSuq5yJwUlIQi3rmpyDFOzy1+T7SIU66TEvXs9CBZIub69nIgxNvVG3LIWjI0d/vliuZbQOBcvKUC2um+j1htxZQ3cXAehuS5KgoBHgukx4xV7xyRMfAJN0JuhJCmMn1L59/galf/rP0XE34DtVDM8BezLC4G/+LYQbGzBN4O7dUAvUyf2yLHLOgyBO+ecM6cBL0Ydd6Kz4Ic+HUgrlsgjeMYlhosPXrqzQB1zWt37fSDUIjHSeAkdHVBFfW4vx4oWDV688eJ7CvXsBOh1CvxsN4VxTT+D01Ea5nAAgrzqKgNNTC0dHDlZXIzx8SE2A4dCE4wBffOFhf5/K60waDTx8GKDdphbAo0cB4phFg9ev3TSRU1hfT2CaSQpVpw1mqxWhXCbPXKz/Tk/ZbV1byxLgft/E55+X0WpF+Owz/4IAYhgaKXfcwk9/WsbJCRXnP/10ir/zd8ZYW+N+4/DQxsEBiw+eR7/sjQ0+w/PWS7kPtp2psl8FpxWfeQDaJg7IOvOXRZ5HPhyaOD62Ups1hcePA70mVqtJOmYMz0u0S0U+TDMr8AsCIB/z1NnlO0JE5STCEHj9moXg/PfC9naIdjvWaKPZ75HrXPe7xmXfde8rxmMj1buY//tFxeqPLWYRIBIfMilfFLZN+8t+f/49y9Pb3lcIGsz3i82bPEIzTy3Kr+159OYsmpdiocV9o8yV9y0I+zHEh3rmlsn6txye56X2OuHc30snRDoKs0m3dDmFB9nrkSsjAlbS+Wy3o/eWCF2VmAkU8jq+xJdFXhxvXjFBigJiKybdIzlH6Syzg3lxEQagrUkkxM9auJaTibFQkM+yKCYURUH6mUYKa1a6gyd6AbZdpAp8nYoeEzLzgljeoi5x/mfie/xNKJ1eFrPidfkE7V2XnXlFJvmZCFaxO+ukCaM4MGSvBTJ17dnj5F+bvw5R2ZXPUkqSS1OjCYCs283jqQvPcb0uVl9KF9/GY0PD3S1LpXOT76lUlO6ayTkK/PjrPufDoZkW+lRBT6BUSnByQn0KgermRefEopGq+JnCvHyJyzXPQ30oxXuZ533Lc0Ped/LOOhHSvRqPM5QF1wvCjFutGEmCNBmTz8+66mIHZpoZzJC0oKywNxjwfpim0jSfvIBftcpnT8S8fN/E4aGD8ZiJlKzXStGr3PcNVKtKq22L7oaoPpPTm22mqNyfYDQitLfVysTsfB+YTHhOzWaER4/C1P88RhQBe3suzs8J9RbPbaFY5BNC3zfR+G/+G5SjAWorFlwrxkplDGs4QFKtovsnf7Lw/vt+GYDC6Wmsk21BTQkFg/7w7Ap3OkyIej0bhsF1M+8x7HmJXkP6fSIEooj+2IeHjuZ/uy6LF7Sao5J6FAlnPMRkQiuy9fUIjpOkiu0snHiews5OgPNzEwcHHiYTfidVKvTgHo/pVX54aOPlSw9haGBnh/ozjYbC8bGNrS3C08/PWcj69a89nJ05KJcTPHwYoFYjV/z0lNcZhvR2v38/1MVaWWeiyMDqalQQMdvddVGpxPjJTyZakE3i+NjGq1fs7icJO9dMHingKM8BKQUUurt/PywgH/LPHBMIU1NM2u0YOzvhtdabTsdK77+N1VUWEur1yy2w4hjpfeH86/WoyyMaC3fvhhf43MKFz0c+KZcIQwNnZyKoWUQA0DqwmJ3l1/cwBPr9YmLvOAoPH/qFglE+5Pn/JuPr6upIcWSWXpa/v+IDf1sSrSi6WJQB3t3h411jFoEBZFRDoJS6X/jv/b4u2r9bltJd5/fpgS6UwZvSUGWOVavfjjvUu8aH0rJaJuvfcjiOg27Xwng8vwpjmigkve+S+Aq3RkRxJOmPYwO12teHz19nmlwGm8///yYPZNYJw9x7Q4VZM1Wfny/CNRpdTMaVMrRvOznN/JKd7XI76YqWT/omk/nV83nXPgtRki9BWuJllfnZeyJKvB8Ld+vbCIG35zdF85AE8vM8FWN23K4KSazmFQOEv21ZSKHNi90GZjvj+eNPJhmPOG8dKBQBcYRoNC7ndc8TiUwSJpLzxHnI576oPC7zL46Vho0KpHt7m4neu0I0ZxOKfAg8e1E4jpP64CZzv/yls2YYqrBBEBE3EQVMElEqz5LtJGHhIY6Z7PI5vvgZnkeY9NmZXei2iy+6UqpQABQBIq7Dlk4CpRAhiJ5aTenXr6xQNZzK9yqdD9A2XeOxCfGxjyJDJ1dcQwnJdhx2qzn/Y9y7FxZ0Dfp9E1995SGOqTzebMa6aNHt2hdgqZJYbfwX/wXCzc0LVUHn6AjH/+Af6Hv58qWnIeilUgLbduD7Bmo1X99z12XHWgqzeVRCpRKnvGuu66VSohXL+30rFTTlvGy1Ergux244NLG5GcJ1JZE3oRTF3UTZ3jAM3L3ro1Lhs9Xv048aMHDvXog4Br76il3S01NL68RsbQXY2SG8/PPPHfz0p7V0Xib4nd8h7NGyjNTSLko1BMx03IE4NnHnToCtrRiDAbvnzWaE0cjC1laISiXj+ou7xWTC8b57N9CIlfNzE0dHLkqlBI8eBWlB2tIFrzA0tM2iabJYAwDr60zSy+UYo5GV6idQKG9jo5ioiO4DO0UGOh2uCWL5d50YDrnu9PtW6vutLvUSVwo4OLBTX3fx/6a1IF0nKGgnVoGzMS8pl5hMikrho5G5MAkQHYp+30KvZ+rim0S7TWTPvEJ+vf7xdJEv+66TjviikILYbUrE8zGdZu4mQPbdfVVSLsKdi0RK58WiBgmLjYISUgDkhdxLiktHPijIa6Vr7/X2KN/VkEZLXhj3uuF5SqP8vsm46f7yurFM1r/lcF0XnY65MFmXmLcYLPr9ohAepXDSTFMVRLLyx5Vq1scSAimfd+3zKr4ZzOZi9/w6IbBBQFTIzVQcydDiLrbNh7Lfj3N8LIEXz++g5qNep4WNdOIlfN/Qm/Cbxuz1SwGECvzJR53gCy9b+KsynvPGFVgMrZPqdCaCl3XugYuLqUDHF9E/xEFhOJzvzyrn2GzGWqgtH+xcOoWEP1+YqlZjlEqcD4DS5+m6Sm/O5drzyA/57Nn7MhsCG65WM+ul/O/ySXenY+HgIMuWxZO62YxThM9iOs3sPen3zZSPXPxMsd2ad87znpc8rM62CbkNgkjfpzz9Raz9+n1rbkGLAltMNE5P2S1lQl+00iuXeY7S/ciScp5LqxVjZSXWvNrBwNRw3HI50V16SfSke7i1FSBJzNSxg7DzIDDTsc82eLu7jlYajiIDtRpFBysVKoOzSxdBKbPwDEwmJmyb93YwsNBsxgU/ZoG2A0xy790LkG0gGbNzYjba/+gfwRyNkNTrCGMTZ+MqjOEIUamMl3/rP9TjcecOofCCRGi3TZTLQBAQicQ11tYdb+mcC+0hjg3N43/+nHDx1VUqwjebMSqVGL2ercdY0BytVoROx8buro3dXRemyXu6sRHCcYB790J4nsL+PhEirVaU0hqYuJ6dWTg/53xyHBYN1tYibG7G+MUvSnj2zEO/b2FzM8Df//tDHB87aLUizW21bWgh0FYrxNmZi2YzglC9arUEUWRgfT3SQoWrq6G2MgwC4M0bqkFLt0sS0H7fxOvXLsplhadPmYEfH9s4P7dQKtHWbG0t0kK1JycONjYi3L/vY2UlwfGxnXbpbe3nLvzWWQiw0Hz6/Ur6HTK5IAo3L3zfwNu3jlaMl2dlNpRigXNvz8H5ebb+rqxECEN+38v6s7FR3B8J7P6ydU8g+kDGVa3XY732SvFUChy+LzZxGbqLaJr54qONxuWogG8zhNNs2066pvC7Lv8dJ+rkH1MiThqUker1GAXtg0WvHwzm2xHLeOdfe51rJfouSfVeLm+OyffcIt/2d/Wwd8mb0mvlMm4eeRrqbMh3/YcQmPtQY7dM1r/lcF0Xn3/uYDCgeNCsVci8EMipQN8F6i4/y3737rD3RYIgjsPN7rscN18lu6wLOvt/gbRfRzDu6wShbUW1WIn8edGXFnAcPpSOM9UJ91WdwdnPm0xMLSInnzPvS0Vg//xb6BDQ4jh5fYKMP6T0e0VxXRTAhV8/LxbByeVY+f9LEAYu9mgKts3CQBhKZ+ti0i3nKfwnwiIXIz0WFWXmLVPCf8+KUkIPuZisyxfqogquUtx8z6MvENJspZsGs9BZl79Nk93o2Y2uJN4ZN5sbc+nQzoZArBuN+boB+fPNe4aLXoIkohJxDLx86Rbs0up1el4v0neYjVkbtvxrG40Ia2vxlboL+ffIRk0QBoSt54sDDno9G1EUoN+39byq16O0sME53mxGKbee45O/RlkXW60IDx4EKJdV2n2kirRcJ+ekwtpahJWVeC4yodcjlL1Wi+G6GZTfddkpbzaLSIh+34LrxhiPeazTUxPjcXHNaTRojSZ2VpbF9VhcCyQsi3Dx3V0Hb9/Sno0IAqVF/IQfbBhct7a2Il2sAOarcs+LfBfOefsWrX/2zxDV6+hbbQy6CYbdBMO/9bdQ/2xNJ8x0f5C1koUWdn353DkOecQAxRwpWJnx1YMg4xg/eBDANGd1A4h2Ek/6oyMblqWwu+tgf99BqaTw6NEU5TJ573GsMBjYCALSohqNSCMvDANaBb/VIiR+dTXCmzcu+n0bb97QSvXhwwA/+MEEgwGVvCcTQ6+nnsekcjIxcXxMUbFSid/pQWBiayvE9naYokoMTZM6PHQ01F1s6x4/DrQV32RCV4HDQxeVSoKNjQBv32bzVIpSrpukCX6CvT0XlYrCkycTjMcU6JtODZ18WNbFoli+4y3Cg5YF7OyYacK3ePMZx8CXX3oalXbvXlgoIk2nwIsXJSiFVLyP3wn1OmH0rgs8f+5hOOT6ubYWa9/4RXuiPIpAkra8mni7HWF7Oyp8d52fW5o2kqcSNJt8Vua5gnxMnXImhxdV02e/B4XTfN3EQbrJ8mfWQWbeZ1yVRL9rOI7Swqiyds6z15PIu3B8iBBExux+Wq5RRA3fZyyT9dsby2T9hnFbknXHcbC7a2M0irVtSX5ByPsbS0cuE5XLOOySsOWVTa9SNQeypCkPybzMxoqwHjMVKsvgPUrRxkdspOTYs1Eus/P0oau5rKrNh0gvErgTK6Hrdp9nhSSkm7aId/111E6F88uNVl6rINMsuKpIE4bQCs/XUb2fFyIiNs+yTH4vXaU4NjSPNn8+F7/0F98Tctszu7o4np+gE/aZCbnlEQ5M5qiizc2wlSaxWWfLMNhNJSyS93E0Igc2X+AYjcyC+j3hy7yRlkWbJ7n/i5ZPuRdihTg7326y7Ao0Or82xDGTE3KuDV3QEyh8/vwfPPBT8bPLQzi8+fOXZDa/PsnvZwtO5HlKp/ji8Qnttgqih6ORkSY82Q3xPCvtqgbY2Qn1tQgffbaoJIljvrghUNvz8+KNl0KIaHvIOZO7KgWH4ryv1cilF7GpXo/QWhYUsgTp9JScYFqxKY1aardDrK1lRUhZQ/I8XICd9OHQwNmZoz9HNCu2t0M8eBDoefTypYPdXeppWBbw6BEtyGbtqWZDCpEXaUG8Dirzmzg6shHvnaH0/DkakxOs3TEw/dEPEd/ZKcwBz2PH1vNUWjB04boKk0msu2EsqvDzhJolGgekG5jaUaBeTwrPhohlSkf0+JjOCvV6gu9/f4pSSaW8ZAeA0vaarVain2VZN8rlBCsrAc7OHLx968L3s2Ii7Y4iNJtIKQIWPvvM1/N2czPGaGTg9NTSdJZqVWFrK8TKCpXbT05s3X1zHPGz5xpAoUSlrfby0e2a2NsTVEEEpWhF+YMfTDVnWp614ZCUL8ehXZ8UgMZjwu1dN7Ntmmf9lefy5tXeF8E6w9DAixeuLlB++ukU4zHdB/KuKJMJ9QLu3GGBTbQQAODVK6r1NxoJHj700W4nM59RLAbmx7/btQo0vrzyvVCSZouJ8lwR7VL8rFLpm7O1ShJoUVgRhs3vHy6Lev36+wii/9SVYldCtxTa1TcNHZaYpbZJSGHyQ+wboyiz+ZTIf46oq3+T8aGg1Mv48LGEwd8wbkuy7nkeRiMDnU6kPT8lgSTHMtGdOwnL4iY71TH4WiF2bJIMiZDdPCsTCaWyrkC+AyfQK74+S5bkWiRJvww6O28xlg7NVRD4fAhHdV6Hmh1KACgmtyLKd9nP8u8plTwYRiYkkT+/2X/LRpiK1kUotFJCO1CF1xe75fP//XUjSdjdzVfqL4dUc7Mwy72+LsRMjn9VIpsPJm8JhkNyTeeNuYz3rJVa/rOkg65UKS04BfpeSgdaFHvziAVJ0ERQbBF8WzaOl92Hed2J63Yr5vmoi34B0TVK/z2ZmBgOM3EgJq1xIcGdDbFRMgzoBEk+7yYbRGD+fJBioCBr8miEKELKjc/e1GxGuHMn22QSGltO/x0U5sEiSkS/b+LszNadPEnQqPYda5V3gVA3m3EBVilIorwi8HBoYHfXS5E4pp4Th4f8ko4isVMztOXmxkaU2sVk5zaZcL3NbwTZQU8KVpUA5yHh0nH6d5QmJXYqUGenzwewsxPg0aPFol/U8si4nGEIHBw4GI9NPZfkO0fGqd83UyrNRZSIwAkNgwrnJydZZSQMkcKZFRoNfs9YVqCpSaenli46n57aKQUhSdEOSheSk4T313EU+v1MmM/3qblQq1Hw7d69EOMxlc49j8n91lYEx1H6u+3sjCJl0ykt80ol0ia6XRPNZqLRNbVaop8X6Vr3ehbu36dveRhyzvziFyWcntpoNhOsrUVYXw/RbCqtUaAU8OBB1mmuVhP0+yY6HSIehD7Dzi7H+vPPS3j71sHqaojHj0M8fBjA8xROTphUCDJKkD3TKQXkWq1YFx+kc3z3bnBpEsr3s4u+tnYxqcsLJg0GJvb3nRStIYiIbA2r1UjlGQ6zBFng1uKT/exZSSNdHj3ivZy1l5KwLBYDiRYqFtdqtVivbyLAJ4muwNf7fQuVSlKgQ9k23gkduGivsWj9zv98HtWKyTG/26QIP1tY/LrxocSuvk5Mp0XtAAnDyLRl3mdIgW22CJJHvknB+WOJj3HclnG9WArM3TBuS7J+mcz/oiqj6yap9Y508fhFL/xWST5EGfqyKql0997nF8S8GAxM7SdMaKQsnEqLtwHzkxXXfb8Q+HkIhfzPACP3u+z3sz+jFVFx7GY7yLlPvfQ1s7A86e6yO8YvE8/LqA+LOuji+Zzv7s9uIIqd0Y/H3zQIisJj+Y2NQJvH42zuzC5Pvo/UBu7i+4GsmBSGNjxPIUmKfCUWYDIe37d1X4Q/KgmaxCxkWWgU/b6VerBD2xrJdczyOsUCbBbODRAl0GwmOrmndeC7PXfSEZNkONugCtyd/xfaQz7ZluTh4vkprK8baTGhuF4KTPvszEw7qYxymZ1ysYWpVjOF9NGIPHPaXWbHqlbjguiedOqOjykoVyolaDRidLs2qtVEq7WvrVGgrVymRVdmOcZroie4wnTKbq7rit1bVryoVjnGwtsV2Pd4TGV4w8gshnyfXehKJcHKSqz5d0ox+dnddbRLgRSCARGwlM+mXU+7HSFJMuREtRrruWQY7M7n7f6EZiE+6KORmSrWR7BtQ8N1Gw0Kl/H/bnruXD/Pz03YNrRn+MpKrFE/wyE7jvz+M9LvOIV+30m74uT8u67C/fuR7v5XqyyuOA61H0qlGEdHDoIA+MUvylBK5oKBajXEeOzANJX2XK/XEzx5MsHJCWHmrsvCQa1GsbFmM6Md+L6Zfn6A732P9m3jsdhoMnl2HBSeQXaeLVQqquA9fn5upoUEG52OjcePJ/jRjwijPDuzNHe32Yw0IuTgwMHhoY1SKcH6epzysY1Uzflyn/IwzGDF87jXeX/7ft9Fr2fh4IDH3tiIsbERal2I8djUcPQ4NtBuR9jYyD7b94Ff/KKCKOK6cv9+UEATVSoXE7Q8vWg4NBDHpqZv9Pu8V+JaAGRFLnETEAHJVivW3GMR6X2f3dnZIrz8DCh+z3reu9MHv058E9Zt80IQX8B8SuP7RDAQPTH/O00+930XQT50fFvjtoyvH0vrthvGbUnWS6USXr600etlkAlaNpC/ubJyEWIqghZFP0Nuejwv+zISTmyjEec6w/PDMGSTc7PzX1QlXRSmqdBsJoXObH5zPptgiZDMx1T1lCiVSgCA6XT6wT5jOmW3M28pNS+azTjlI168vx9TSNEmHzLerkvbEPFslcKIqOYD0BtxeZ8ofiuVeZtHkVEQLJKo1bgp3dy04Xnvf9ySBKkwDtW/r7Mxy6vFShhGUdE4/+yLiJUUj8KQCa+MuXShOp35cMrL1JLfJZQCdnedC8rpIuSWeb5n72m12PWSZGH2a+Yy4SbDKOH1aweDQai78jI3qlUKj62vR4VCluclGoIsHdFez0alkn2OzBWiCQwopXB8TPXyycSE4xC50Wol6PeZsN+9G+rXS2eZ4pAW6vVIc+oBFg3EOi1v5zZrXdXtmtjfd9PXsdgKZFZRcs3NZqyRTYIa6PctXVAslxNsb4f6vlsWleGDgN8bMlZS1JG1Q55NUdKd7WYOh+wIe15eV0GlRUADgwGpNv2+nY670vB5x3FRryeo1ydaiX86NVMUCKHS5F6rlOedYHe3lCIiLAwGLCyUShRXW1+nQGenQ4E10iOIRvvFLyoYDk08f+5oC76HDwOQFmNgZSXEaARMpw7K5RhnZ1YBqXb/vg/TNHRxczRiEn5w4MDzyCm/e5fohXI5wemphU6HyvVraxTW830Wp0yTz2MUGahU2K33fUMjPgAmtKZpYG0txNZWhLMzS9ON6nWOg3zPCh/+7l0fjx+H8LwEZ2fs0tfrl/Nnez0WqKQALHZw+bWq2zVxfm5rNf5azUatlmBtbQKAAnijkZVqZ9C5hD7iWXGn32cH3jD4Hf7X/trk0vPq9028fZvBTkSbIYoMrY4vtBRSGorv/xC8YXGtyCNMJPL360N89vuKD7lHmWc9JnEdAcDrxjyYej7e93faxxDfxN5yGR8mPtTYLZP1bzksy8KrVw76ff5fKZUqBTO5EJGdWTEYJmXFrnm/b15QexbO72zyJlVnWUyFiywdKvlyMgykFWl23uTzBBYripsfKpnOc3Lnxbuqbb6PsNKbEceLOxj5EMpBPomad975ay2Vrr6/86r7s8fJcxA/ZOS/wOeNGTfohoYFzlbduUkzCoUJScLzc7Xb5fWWSrRbyvuci+3Oojlx03G7bhgGNC9WOrn5EAu4fIiI2LzIJ91StMgnhkFgLOz830To8KoQ3qecP9cFpRPira0Q9XpyIbHjRv2iAj2QcRDnzWuxTRNKw3hs4OjIhlIGHIccYceJ9AZN5rYgMzK7Lg6A52W6AnLfZgUW9/epHC4Cf1EEbGzEmE6p5F6pJPB9joNsQqWbmD+OaSZIElNDfuV30lmToOK7iyAoCmM1Ggm2tsJCV/34mH+Xy8Jvzj4vU3Rm95Acb+qK5L8zTJMd4Nk1oNMhZHwyMVGtZoUDoQs0GkzoJBm0LIXxONMrYbeUybXjsBCzuRnCcRT29139PLIz7aRoC3aAw9DQbhiCYvnVrzy8euWlCCwT29shjo4ctNsxfud3JvjRj3w8e+ZqysHKSoRKJcH+voMvvyxhMjFwcmKl3XpgeztK3QNM1Gocj6++cjEYkN/96FGAKAK2twNsbZFqQz65gu8z4fR9KsWvrUWoViPU68V5PJmwK7+2VuwW5ue+67JgdH5uadrTykqsPcvX1yNUq7QjG4+p+k+4vAXLAqrVEC9elGEYwI9+NMbaGs91OKSGhhSoZkMp0guOj7MuuqwZLPjR1/3gwNaaFEpBP5v37/twXSv9folxfm4XEDgSfK7y3foEDx4UBZakWy9WkrKWDAa0mNvZKYrBKaVgWcXvkTzl4l1DqezZvSzyFJjbGl/3u25WMyAf7ytJnrXUA4rFkY+5YfOh4kPtUZbx4eNDjd0yWf+W47IqTL+fcUZnoVXVKjs1syrHErJZFxuVWZ/xKCIkLy/+pRS/zKVjAPALNooMLRomfHaBPXJRNQobeL5POuUq3eThSs/Dm/CeJSTpkzBNVfj8Wi25ICQz73N5rtcX9yL0tYw4NuD7QeE4cqzZECuc91kBnnfO+Z/Jv8l3XgwTSxJjLl9sHj8viooFlHwXnHxklbMW49wIggzuW61m9lMC689/XqNBMbii8nPxutptCjeJGNlN7umHrlrPs0ECrlbeHo9NLYoo9zKKoDfRlUrRTvF9dnQGg2ytmU4JmZZnW4TX6B2ttK1hft3o980LIjyGMZ9Lnr9OgJ1C8QPnegN4HvRGWSzGLItjNxoBX36ZfYaE0H6ECzpLIZKilm0zEWNRiWtkpUIPZ3JbRbCR82wyMbC/7xaSbxZQydktlZSmsczrKM2znRwOTWxtBSiVkNriAc+eefp14gENABsbIdrtBJVKrJXP8+MmBSAR7pqX0MimOwxpCybPZ6a8rNI1jQn8dMokMYq4/gsHOo4N7OyEGmLtuhRfiiL6qlMki+fUaMQ5RIPC+rqJlRUF3w/0nIkiA69fezg54b9brQjb2zGGQyOlA1AV/PVrN3UI4LWUSpw3nY6Ffp/3vVLJVPDrdZWqRCdIEsLqf/WrMpJE4enTAI7DTrvYizUaMTodihl2uxZ2d11MJiba7RCtFh0SbJucfduGpus0GjFqtaRwv8lH5z10HKIHRNV8bY0J6e6uk855pQX2pPAiVAm5lwcHLsrlBH/4h2MYBnBywoS3Wk206J6g7fLfoaIa3m6zsPXyZUmPhRTghLYh+4AwpMJ9vsBWqzloNhPE8fSCyNfr1y76fb6W9naRTsjzz93JiZXSIhKteyJFA9edX9B7l4Jj3rVg3veg/FuQaN/1uM533WV+619X2G0RXzwf32bD5WONZWf99says37DuC3J+k2rMOJFfXZ20b9Yol6PUwVWA47DL/Q8pLZU4uKYKR1n4fsUpWq1ogu8MulOvUuwU2TqDui8mIWbyeb763iDC+x6USIukNFZ4a7ZmH0/RUkA1/3uVD+Hw8y6TDp7grgQAS7ROJCNvPyO8FKVblwvFkgooJf9TDrwi77EpeP8Ib7A32flU5SoZ7tMeRukeSG8Y9loh6F5gaNerSbY2Lho+fYuMZ1momIylzOlZJWiF/g5pVLWBc7TXOT1jnNxc5XfWE8mmbAdCzU8xnRK+KwIlYn68cpKpIXTmJzH2h+Vncisu2ZZJjxP4f79iYZPzwYT8Mx/XKgG0gElbFyhVuO/TVOlfPAEnY6DOFYaAi3HWlkJQVFHQyMd8l03FqDUXD0AcQzY3XVwfMyb1GjECAJDrzvkS/N4cWwUCgNyTYOBVUDZSEKUvU5dcGoQ6HC3a8G2E/i+hfX1UMOKK5UEnodUVZ1jV6/HmE4tjaoSPnTewioMga++8vDypZvyg4H19QDTqaWtz4KAvOJMj4Mc9cNDA69fuzBNcsfX1wn9dt0Eo5GN6VTEBE3s79uIIgPb2yHOz23Nc3ccoFyO4PsW6vUEGxuRpsgMhywcTSbAv/gXdS36+Pixj0aDrg+Ewdtp8m9gNELafSblgZ3hEOvrGe+w1zM1ZWCWDz6dGnj+nKKDYUgNAEL+WeCS52hvjy4Erpug3U6wvh5ifZ3HOj1lMWU8NjEYmOj1bNy7F+Dx4wCTiYFXr1zEsTF3bZGO+dGRjYMDO6ViZLQ2x+E9mk5NfW+laEXxQBZsXJcCgvnv+vx6mSQsKolmweYmixkSPG5SEJgzDGBtjQWeeYnbZfZsEvPoQvnI6CYfn3f4txmWxeJet8s5Ou++UIPj3fZ2+bUemN84uG188Y8hlp312xvLzvoN47Yk66VSCb5v4PiYnPWrurzSeVwEfxXuosAqZxdnseYQ8aB50WzGaVcvO8ZkYmI0MlIuY7awu+6HE04JQ3b4rrIykfskyaNS3HDKhlSuYd77pLN2mRe0cIhniwa3tfo5HpNXOx6bGI/zG3v+W0TIAEkipAPOTfpoZOqutlAxZgsthIGrlCN7cV5L1/LrFGLeNd513Pr9i3x712Un9bJQihZFwi0GiDSRrpt0mWq1YkHjJpGHK87jVwp/Nj/HReFckr3RiBv38djUhTXpWNImjOM9mZgpJNzQn51PmgV2LOE4hG9THV2lNm2m1lcAMkV2gGuUeIW7boLpNLPk87zMw9Q05byK92I85joVhsDbt4Rek+9vpN00IjGIJsnmr4hjUfBKEEH0WRfrPtvm9fHZuUg5IuJIfKllPeJxtrZCAIaeQ5bFDudkQo2DdjuzgZtOzcIzk4fVy1osHGXZCFPFns/xeJwhaWxbYWeHPGrZONNTnh32ft/SKtlSHH3yxNedR1HU39tzNDzeNCmQdu9eqNXAxa0gj5AQHj8/w01tzaYpioeomBcvHPR6dsprVxrhpRQ77XLPmk1C5qdTI+WuE9VQLrMz22qRe97pmPj8cw+djoO/9tfGWF+PYdukD0ix2PeJ+uA9MFEqxXj0iPeo2RQof+aQAJD+IPdEbM6CgMg1pdipl++cWdoa0SM21tYCrKwwcRZKRqdjodu1UKnE+OKLMlyX7gFra5H+Lvc8hYcPfVgWi5xSwJJ5KFoG7XaEu3fpPNDtWinnmudSqZAucXTk6LWmXE60CFtxPcnEPk3Tw1dfuQhDIsju3aMTjRQMJpPMNrNWi3XHf7aIyXtYTNyI0rIu3C+JvJ7JtyHQdlsiX4zNr/2eR8cazxvfGIUVBBebOfngcZOFDinLePe4rXvLZSw76zeO25KsWxZ54q47n3P2voMQ1/k2aAA5h+OxecFrN+uSFTf9YZhxj/Oqrkph7ibgOpHvwi+KeQlJvus7GGT8/avg6fnXSOexWo11Ai/JqxQNsoSLX2RJEmse4jy7uA8ZwmWmwFf2czmHPPydyr522kFh8jRPyMs02V25SrF1lmuWH5M4ph1TfvwXFU5s+6L+wmXXK11hsXySv0WdWn4226mWuKryyU5EkXcvc2KR8JmontMTHgVYoVL0GM4nakAmeHedyCzGmDTnN7fio95sxpqiIOcsMXvuFAqzdGdXNl61GudFpUI0jiSUw6FV6CLLscSDvNHI5r1Acotcbo4xj6MKnTTaRqm53RfPE8FAJkamaaZzgEJitVqSCu7xnrx44aTigkx419YC1OtcF2o1pefPrLDbog5QFGU8XF6viZMTp4AOYEfaSmH/kS6Ecp1UOnknnSC7T5ZF1WpR3Zef0/7K0AUQSXblPEulRHf882Mcx5nAWL1eLPwQ2u3o4wQBsLYWa8j86mq27rOra2pF/CAw0GolWF0N088nVHw0MvUaOZkYGI+NVAyV5z6ZIIXtUyVeKQvNZoLhUKFcjvHsWRlhaGBjg6gFz1NotUKMxzZMU2FtLU7tExV6PVujfra3+SzZNrnax8c2Tk8N/Nmf1RFF9G5/8CDE978/RRiysBRF1LdotRK8fElvb89T+L3fG8F1L9qWiQI7z4nncXJip/fOwPGxk645wJ07oV7nDCOz+AOAX/6yhJMTW9vpCV+637dwesoCVaOR4PjYgusa+NGPxiiXEzx/XkKSIIXy8x6T8kDUhXzHnZ3R011E2CRxLpWoE9BuR6mLga2fp0ePApjm5bzt4ZBienQ9MfH0aQCluF6Ox2ZBQ0QKPcVQei7M67ZKSBHquyQO9iEiX4yddz8XQckXfdddlYgDywLJtxnLzvrtjWVn/YZxW5L1j6mCdpXwiii/yhf/bLdUeOwCoT0+drRdULmsNDRaOLDFyHzDLUul/PbMUi37U/yZWK3lf/Z1v1yk25X3HgcEZZA9E47jpd0RXyfN0m2TRKVUyhT65T5dZqkn95EdKjXzu4vnwPMlz3CWFhEEVLWWijpFCxPtxT2bIM8m+/KFvgjlkbc5+zr3nYJY1tzkel6C77qJdi6QRJUcY/5bfrbofPLP3Cz/WmJl5WLXX4oTs/dDFIOl8ykw8tlO/GUif5JkyzNwkXaBAjVFCgqzz6ptX+QY7u1lm3Wxd6tUaOtWqSS64MbPFd539n6xPBIvZIHtAyzQyZyXc261YtRqcWE++j5F4mz7opKz5/EZ6fWsQoIv199qESbP56iMbtdEEPg4OzPx059WdLd0PCZc+uHDEKbJ5H1WbFAQHaYpyu2mLspIgnpyklGMMq0NHq9SYTKcfxbDULrfvBaxWAMyuLsofwtMl+NnIo7NuXO+VEq0wJhwfPOvk+RMEkiAomCOozAYmDg5IZ9b5l+lolAuR1hZ4THFz1xUlicTIz1/+j5LR/zgwIXrclJOp2banRV7rGxNsixe0/Gxo6H8q6sRwpD30PdNlMs2jo4snJ3RKu3hwwD1eoIwVGg2WWCgKrpCt2trv/ZSKUGzGaFUQspfd9KusY3nz10YBteEn/xkhHY7wXhsa1u8el0EH2Ps7vK1T5/6aZcdBTTLbBdd1qQ4BnZ3XVSrSUonIFJhbS2+gIRRCjg8tPGLX5QxHpt49MjH1haLAHEMHB3Zek7FMbC/Twn6Tz6ZwvdZdHUcojnoC55ZmEkBWQqJ7d4uvv/6/4Pemyn81XWM//pfR3DnDuS79ODAwWRiYHU1xsrKxY1joxFjOMyK4oeHtv6sWi3Bj340gW0Dw2E11TPwcXpqFQRrlTJ0h57PgzxnyyT8JnEZLUwaEdcVWRNoOgC4rpc+y0XP5/ch1LeMDxcfU16wjJvFsrN+w7gtybpliRrvzeCv+UX2ssp1/vfz3rOIawQgVWLOhKdko78oMWOSnWAwMPWXuKhij8eGhkjSxij71qFwFk9AeJF5tensz+zP5r3mylv33uKqCloUsRszq6YqncokKXZIgaxzJl0/6Wzm4bWiOG6atBQiFPsiT/wqP1Op1i96zD8kb/zrhOgqxPH1xpswZN7LMDQK45YXBLuqWCVJZV7FHmBi7zhM9vLaB/nkfJ7vrIQkP4s2Y/kkIh95WC7Aru9XX5UuCAkKt9owoPnm+ciPs+8Dr1552s5JzrVSSSB2ZuWy0p/r+9RtMAzO9zzKRrquSvEztrZC3eWcHbdFm8fBgND8zz/3sLfnIgjMlHfLz/j00yk8L1Mkl+Rg1u1CgokXueOOkz1HpslkSEQWpVgxb6za7SiFdfPgYcguOmHwBqZTC4MBaUSTiZG+Jy7cDyAT5FJq/kad3f7MqhDIYNNAds5v37pa+PP8nB7e7XaEXs9M+egUWLOsDDofBEbqMc+5MZ0SuTEaSSIfwzAM3LkTolpNsLfnwHWV1kwRxfSTExYhLItCdex0O7DtRBeTPC9Jk35gaytCs8kOvaxN5TK73VKkrFapwi/q8kCC3V0PSWKkGiTAcGij2Yzx+PEUvm+j1YpQKilsboa4e5dUhpMTC8+eeQhDA1tbLOJI8XFtLet+n51ZmnIVhqZGEzgO50YYcsw9j518QTrk55aISr5966BcTvDjH0/gugrDIb/fj45IxbhzJ0QQAMfHLlZXQ3zvez6++MJDp2NrSD+QISRkfZpMzFzhO0H8m324//Rf4FXyAPUWYE9HsEYjHPyNvwf38SYAYGcnQK2WFIqA+VCK166UAd8nJaReVzg/N1Mkj53OXZVSRWKsrkZYWVkm4TcN37+cc78I2ZMPeb7nJfRF6HuiETzLDu3tjOW43d5YdtZvGLclWf/QFTRJsEUUCbi+6jmhv0XbrMs/K+O5LTpesxlhOLQKyQAhk9yIjEZmqvrM3YX4NZvm/K7hNxWSiGQq5xkfbLZqLZGHTs87ZxHNkbEQziffy0RePG0rFSqoi7d2EDAZqFYTeF6ik36KZTGpzKu2z/t8gZ9fVq2X4oAoRn9sifu8mJd0xzE073o6raQb8uDCe/OevnKcJDG08FmjkWirtbwgn9h6zYO1S2dkVjRsXpyfWzOIDmgorqioi2iiJIRBYKRd2xiPHwe68CUh3WVJMsRar9839T2R+eM4CvfuBenvs2d5PObzurpKoa8wZLInhSWlMqsjEZTLrzMyb0QEbPb+yP3+8ksPnY6F8dhCr0cHCqUMrKyQR7y2ZqfK3FN9bXmoJru7tk5+xcJNngHy9AO02+rC+clrJFHKUxuY2DDpIRwfKXea6BV6jFsol2NsbMQ6ya5UMvGsvK3h7HO0aKMuCIqjIxuTiYGjI0cfTynOO1pqcg54XqL1Ru7dC+C6XMNtO9EFhW7X0kgGgdqXSjHabW7yez0Tv/mNV+Cibm2FsCyFgwOeJPn/Sdp5NnF2ZmpkRKMRa4E+12Wy+PTpFJZVQrWawLImODiwcXjoam7+zo6PTsdJkRcKvZ6p7d8Ahe3tCLu7TjoHY3zyiY8gMNFoRPjxj6eFxPv1axfDIQsRP/iBnxYBCGlvt0kVOThw8OaNm8LQiSQRGhUg3vVcfz0PusAlqIdGg0iCFy94DW/f2vA84N49ogXiGNjbo4p7sxljZyfUtnTlMm3bZO149MjHzk50AVXS65nY23P18+c4XHNKJYXtf/XPUAoHuHc3wOmoitNRFeZ4jGZbYfzH/74et8nEhOsmGpETBMCLF5mh/Pp6iOmUheC8k4DjZEXMZZfv8hC00SLBX+BqSPlksliRXUL2TzcRa1uO3e2M5bjd3lh21m8YtyVZv6oKIxzCy/jbwOLuueMQUv4xqHHmN6v5yG+06/U47Ujxiy/P1c2rj4uwktgVARc7jfMiDJl0zxYv5PPz/88HbdeSQqJx2dgtqqQLvxyAVh0WqGOeCyznYBjcNM3rZMz7DHb3LEynhobbyybwMrg6IfIXrcAkOfF9Q3ed5sWi484rEF23WHSdkORDks2s8zd/znMzilRgrDhuvg8NH5RrabXYgWN3zMJgkBU/sk4YE4wMEmukEOGLQlMMXvx0asB1WWARCgWLBXwVu7Rmah3mIEmYuLPzm3WSxccaYOJeVEin2NtkYujkUYoGQiUQpIKck+gcCCqARYhEW2Otr4ewbXYN8y4TEnk1+XmhFOHA9H+2MBhYaVfXxMpKlGoqILXNYpe40UjSRI+iWfv7Mt78ezAwEEWZNaAIwTWb5BsPh5bWMiiVMsur/Fjn5zB/R7j2ZGLi2bOShtMLOoEUAEvPEenWTqfAwYGrrbTkuIZRhAZf9gwcHVl4/dpL18QE7XYE3zextRXqsRqPKTS3uhoX7LAkETw9tXXhp1aj+8fhoYNGg6rcrsv5QM9ypYs8lUqC3/3dCQwDujNNSL2RWpex0x0EBjwvRhTRw/zx4wDNZoxf/rKMIDBQLkuh0sBoZCAM7RR1leDOnRCtVozdXQeTCdDtOun849x9/NhPE30LvR4dCKRb3Wwy2ZXn7ezMwumpjcNDdtsfPAjQaCQ4OHDQ61m6ANftWmkRh0iIra1QC6NxbJIUgm+h2Yx1B1kK0LJu5W0OoyiBYVh4+NBHrZbgiy9KODuz0qJChCQx8PatDd838eBBgO3tEElCxXnSuIwL6+FoRC76aGRq1XnDULpokCTA+D//rzCobUEZBlarI6xXRzCRwD45xdn/6n+pj1WpJJhOoT3vOx1Lzxf5/cpKfOnz+tve5csr0cuzPPvszmpgSIgt2lVISLFAfN/F8N/2sbutsRy3LJRiI1CERW+6d1z0TElh8n3HsrN+w7gtyXqpVEK3a2I4vNjlA5AmAV/Pvuy2xOxGSOIiZDZBr2enEH1oIaTRKBPGkw6ZJCTSXcy8mN/9PAVBsIgPxg2+gWYzSUV2MtXefHFBYpE4zGX+p8D7FYARaP5sVxe4mGjPC6qGJx+0+y5w8Lx4oHC5ZfM5y+2eF6VSCXEMHByECEMWgZgQZB0zgInraGTpIlKzGaddzewCZ5dIpZBaUsk8sHB4aF3wpU8SduiCwES3a2lHAnkGJKn0PCqpP3jAjl1eF0GOJZEk0AlV/ud5nnQcMyESNesw5OfKnJREVnjds57Jco3XQbkIzPbkxAZFx4CvviohCFjMqFSQcpGVVqWWZGQwsGEYKkWSsGjBZ5vdUMsKCvOSxbtMtb5cpnhbGLJotah4I/et1yMS4+zMTrtkfC85zTG+9z0ftl3cuCcJLd5m6Te2nWB7m5Z71+GYdrsmDg+pWi8InpWVCE+e8DuBc97Q3G/prFerMR48CDGZGHj71tVIEsPgOdg2UQZi1UV1fTqBrK5GaLUSWJbC/fuBRkfs7joYDOhd/vKlh62tQNvBidhft2vhwYMArVaMlRV2kV+9cnF46KDfpw97o0EbPN53hZWVCKWSi8HAxF/8hYkoIkpEXDsePAiwukrRwOHQxM9/Xk4F4Mb47LMAccx1vl5nkn56ymR2f9+BZbGIdOdOpBEnoxGtycplpe8p14XM1UCU37tdC8OhheGQiAmxEZRid6sVF6golgU8f85izP37AcLQwJs3NiYT3pe1tQjdLvn5lmXgzp1Ar1dSUBFOtyjp7+7a+Df/ppr6vvM52NqKNX1HXBhoNQj88F//QzTjLpJ6Xc8jczBAUq2i+yd/gt1dB69fuzg7o7Xd5iZ58zs7Adrtm1Huvstdvjy/exElcN737GjEOTYvcc+/Lq/r8m3Ed3nsvsvxMY+b0ISmU6LrZP5/Hd2iq/aX4ijDtfPdPuObimVn/YZxW5J1x3HQ7Zrw/ejaAiK3PSR5lQ5z/ufXedipHg3dRZ/3Zek42cYyDM2crVvx82jTExX4od1u0as4/xnSWatWEwyHhBNGUaShcFFE2OGsb+yszzhhjlYK851/ndfxn/1YIgypBp237LpJ5O/veEyBrChCAX4vHc1G4/oq6hwXC6ORoRNm2+bmrF5nAiaChv2+pX2wAaSq2pd3iDnmWVc/zw/NJ9vNZoagyL///NxEux1jbS3Wc4KCZtn9kNcKLaVaTdDrXSysmCYTaFlDfN/Ay5cuTk8zrrxlUXCQvtgRbJsc/Hk8/XkihIui16Mw23RqpEmvhbdvXZgm5/F0ym7izk6IMCT8XizTmExnRZJajdcg/HfhljP5stBoJKjV/LlrJe3VaAnmODw2UOSE54tnwtMHWKxaXaWYXR6+3u2aKRy7WI3P6x1cJ5Sil3anY+nkr98nxWV9PdbaB2KtyPtKm8Rmk4msXPPhoa2pBq6rcPduCKUozNbt0mEkSVgwjOPM7nNtLfO0B1hMOTx0cHRkp+JnCcKQAoT37/s4OHARhgpBwJ/J/SH9AvjzP6/CcRS2twM4DtI/FCPc2SE/+9e/piJ6HPN8796lzsDaGkXabFthb8/RYnnr6xH+9t8ewbaRWgnyHu3vO6kSOxN11wU2N0PU6yp1DDA1eoTzlkr8Z2e2Vmuf1QDo9UhdqNeL+h5hKGPFc5KE7YsvPJyc2Fhfp4K9PK/374ep7R7w8iUpBA8f+hiPWYwTZXSJwcDEcGjg7MyB71OM79/5d0ZotYqJXZ5qk/e5d1+/Rvuf/BNEjQbiag2dI4W/fLGBkx//bYSrq9jYiHDvXoA7d76+y4yTVrnCMPx6B/qGQyztJObdhzy/OwxZtM2LfM6GrFGz3+cfa9zWsfttj+uOWxQh1XHh9+51NXy+7prgukpr+Pw25Cw3iQ/1zC2T9W85PI8J32jkLxT7+tiUO8lJvRqaPxv5hEyEnD7UNeU5YPl7SpivwNIIcx0OLb2Bpxc0u3BKKfT7Nmo1QiKFx8oEA1hb43GCgF0+2RADKPDFF1UN86//bYrBoNgdPj/PiiOGweRuczPSm34paNCuirBkUaKeTgn7z99bw0BBHb9W430WDq7r0hd5Mgl18kyP6Qjr63E6pkZho5ef6xxThdGIG3UpUIgnN1D0PBdER68niX2WNLbbUSEZnicoRh9iXi8VooWHnPGW9/cdHB/bFzq8d+9GWF+PUu599jtJHKRglaePLFr2DYPJw9mZjemUGwPxcma3mxte6gMgTWAURJ0/iowUvs/E1DBEhb1YHKPYHsdidiMg62UezSK87tkCGyC2i4RHS+Iu7xmNOA8Ftl8uZ8r2oqNBhE6Ee/eiC8e+LAQ63u2aOD119HVVKky4JamU+y5J4XRqwrZjDAb8v7hG9HombBt6zdzcDFM4u43BwMAXX5TSLp+hIdyrq6QPSIIH8Dhv3rh4+dLFcGhhMCDCgSr2/BNFnL9JAmxvR6jXY2xvR3rtfPXKwd6eg/HYxMOHgU7+6YlOUc3nzz1MJkxUd3YCeJ6BnR2FBw8ilMtTncCenpo4OnKwvR3hs898eB7V6g8PbW0lVyrxWSuXI5imgc3NEE+eBDg7s3FyYqdidAqrq7FGB4Shobvn9+4FheJeFDERJwqG8zqvTyB+1eyCE/3y+rWD0cjCxkaIjQ0qtUuxZjw2NQzftqGpF6WSoLgywdBOx9bor1YrxvZ2eIF6NB5n3d5qlZ3ZfAgS5+gvOzj5/+3BHvRRWXPxO3+8geqP79xonl4n5j1z32ZMp0ZB5HMe8kupbI+RX1/ya9vs97EgGL5L4nkf29h9F4NOCWxUzFoev2u4KRdunq5OPkyTxXfPY5H6Y8kRfpvjQz1zy2T9W47rPJSXeWJet/vK5MTAeGxdgLXeND4mHnw+8t1q+X8+DIObUknalOKm/PDQ1lZUwnmmjRgTPOHwUqBKwbaRVjK99HNCnTw1GtwkU6H9twcp4ftMjjPOs1mAB0uy3etZWilcYpFoThiKAB9fK9ZSpVKm+i0Q77OzokruvE1uHCNVry4higwoFegu6eyXnNAmwpCJ8CwKxLJUauVkatj5eGym3c7ixJN5yARqdk5k6JC80q+8RnjXUUQF7CDIum2SaHhegrW1CPW6WgjJvEppeDYmEwMnJ7YuZL15Y+P8nCrf5Psz4alWOZZED8RotzMusdBZlOJzEUUGxmNTWzfK+bTbF0Xn8hHHme+9VK2jqFi1bjbJ055FCFhWBtfvdq00ySTceW0tLiSyogAOFC29rorBwMRgwGML2oFrZIKVlQjNZqxh6nHMwtBoZOpNXr9vaaHHUonvydu/AUiLG4S1Hx7aODhwNMKoUknwO78zheOQJ52fX/2+iZ/+tIwvv6TC/3QK1Gos/pbL5I6Xy0oXc5KE6v5raxH6fRPDIc/t9Wsm6IOBhYcPA3z6qY+1tQhJAnz1lYf9fRfdLu0mu10L6+sUrBNY+MpKhMGggsnEwJs3CoeHNgzDQKNBrnt2rYTpr69HsCyl6RqOQ842kDmLtNsxNjaIDjk6shFFdMZ4+DDQRVDfN3B4aGM0IrqGyvWccwBSKLrCeMzO/GBg67mpFPDqlY3TUxc7Oz6UIo2pXKbqvOfxc6dTFgYajQS+X0R9nZ9nNnn9fsafn7VSm04z1I0gceT9dFBg0engwNZoiu3tEE+fXr6Zfx9x3cTh60aearAoAQe4JordYj5mIeny/SP3/Lcxvqmx+7YijpE6WxQh2fPiOro67xJi2Unby/eTMH/Xx+27HB9q7JbJ+rccrstNzmgUFTrokgBxU7f46Z9MMsikRAbVKgqWUSQqubWVY9m05+GEs1/Os11CiXy3gt227Dii/gyI0FqE4bAIh5OuEv+v0m4c/z+ZhFq07vzcTBWaob2e8+8pl8lX9Dx2fN6HFoFS7BaFISu70on+EFVWsY/Jb5ao1C9+xuycshtYnGhU4s48rmch4cAs93e+gvo8b/RWK0pFxIpzo9uloJR8/upqjPV1QmiDINDdVXk9iz3Fc9jeZqJ0cJAVdSSazVgLQAo/EZjv0y6xSIug1Yq0c8N0amgxxfNzS0P1fd9Es5lc4FCKf/hNn+0wNLC7a2N/303V5o3UIpDwtihicr26GsLzkBZOqNC+tib0kSi11cqeLylW5aNSuVhAAVh8yCMtJOT6RJjNtrlejscGOp2L9IR80i9jL8rgUjCQTrGI50mRRxAGs13OfChFYbxOh8rsmYc5kzvhI3e7tk4oAaSQ/ASjEUXdoohd10pFYW0txOpqjLOzIqqK4mTk+BOJwqJRrUbI/N27oU4Q8yJWe3sWvviinBYQOM/rdYqu0dos0g4SR0cOOh0LL164qFRiVKtKowxsm37tX33lodezsLkZ4Qc/mKJaTfDmjYOjI3bWfR+YTkl/EIG9732Przs7y7rjtH2z0evZaDanGvIt4/T8uYvJhJB0z2PxYDo10GoxIRdUkxQnTk9trWZvGFRhzxei5TuUMFEj9ZnP5h+LBo5GP5XLCnfuhFhdJaXp3/7bMnzfxKefTjVyYHU1e6ZfvnQ1mkNs7FZX6Z2eX68cR+kCUv79QNE9JbNCZFF4NDK1w8Pbt27a9U1w506AVuubhV9/nc2nrF951MtsR5yNBKKO5mm3zIYUMG/rPuabjA+ROIjorPyZL6L6fmNRKmKaFOejKOl3B5K9TNZvbyyT9RvGbUnWPc9Dp2NiNApzncSsY1YuZ7Yrwtu9rqiYWDzNi3fd3H/ICMMM8gtcVLa/SjwsjjNBLCb22QvzCtCjkamLFvOq95IkCjyS0GMDcWwgDDMFX8dxNQw+f57jMdW3szDSnxsaWuv7wMkJbYmq1VhzGsUiLEs6uIHZ2Igu/SISyyPX/XrV3cnkoodwPiQ5y3dpZ+fZdGqk3aZEv0dC7rfnXW8exzHw9m2xs23buEALEdGo4dDSUDQRe8sLwgFcTJMEOD6O06QpSfmK9I8mrF4VNiHlMvnWw+HF4tmixFy8l/NIFuFGyuul2Caic8L7d10WPQwDmhdtWTdDa8hYyr04O7NwcGBjOqWytzxrwmMmt5lJjXRaPS+B75s6WZD1p9GI0etZmqMvPweKtB3xl8+L0Mh9kFjE/wzD4jMMcOwqFQXXnRTusWz6owh4/dpDFDE5f/AgLBQNlEIqeJeN3TzEwWhk4MULD4OBVUjM2SlPUji7wnjM+0vxNZ6LQM/FVm88pmiYJH30QC8KDjabFCU7PbXQ7dqp8BVV1m2byeTDh4GmPgCcK59/XsJwaGo9hFqNFnek6XCubG8HACied3pq4dUrN+1eh2g2E3zve1ONPvjpT8vY37dxeOhgdTXE+noIxzG1P71QUM7PKcpWq7F7/vTpFNOppS0j6/UEGxsRkkThV79iR/3uXQMPH4YIw0Cv1eOxoa06Dw5cTKdc79ptUiWSxEjdQHjd06mJvT0iOur1bM7lhSZFYI4oHoX19SAVLMx0IhwHuH/fx9ZWNjc6HQu//jVRN599NoFhGLoLLvPsN79xEYam5rlvbYUFnQ4RED05EYX9IvItDHndtC/lOiYFi1qN3blOhx1+fkcpfPrpfH2GbypmYZ15QcZ5QfcFM103MhrQou91wyCS5boWsb8tIeKaUoCfR/O5KubtURbFZV3n/O9FE0j2Gx/THvK7Ekv6wu2NJQz+hnFbknURmBuPryfzH4bZBnwWbgswuRMhrnlJkvxMust5Lq4cTykq/75vFdO8Ddu8EC/qqz5zMOBGQI6X7/C6bpZc8B5cvL56PbkWLC6DvWdiVVQe5u/fh5AE4Y3ZPcnfI7muwcBAp+MUhMtKJfomixgXkPGQV1ZCbG5evI8CtSYEPLvG/GOeF9yZjSQBdnfdQuIs3MD8RuuyY8h7RGBw3jnm+ceWpbS69GywK+zoAghQhDyysMDn6u1bRydcjiMd4CgtvCi9qaRyNd8zjwfdbi9K7syCZZp4ja+ssCAmGgqSUDoOx1nECgHO3zt3gitpLXmUiET+Ph4fs6MssGuBBwr3WLq/UqwTjr/jkFcPGJrzXK8nOnmn6F+GFKF13PzNmmzCr1NgkELC7LqQh7ALmmL2mRNUx8GBq4szT5742v4OgE6iaWtnaaV7GaeDA1tbwkQR0UyCfGk2Y5145wXqul2OnRTyAKSe8wmUYiFE5mK5nGj9BBl/3nMTb986aYfYSp/lBI0Gu+4rK5EegygCvvyypJN5dl4pTLaxQV40YOg532rFCEPg5MTB8+cu4lhp+Pcnn/iag390ZOGv/qqM4dDE69c2wpDq4XfuhOj3zVSALcHBgYkostBus5v/2WdTbGxEAIggGA4N1Gp87jwvwatXLo6PHZRKCX784wmazQRK2en6E2MyMdLniwr35XKCp08zj/K3bx2cn7MIUa8nmE5ZMCmVqByfF4PLr1/DoYl+30S5nD3HpskCpqwT+Q43hd5MPH/uoVxmUdRxOEYyh6II+M1vSimqIcRkYukiCukUkaZZCAxefgZQJ+DtW1fPabnGPIrj/NzUqJ1WK8KdOzfTSPg6kddvmL9mU8zQ92NdNJe1Ut4PFJO5Wu36IqDfRkgiLH/y34mXxYdCrM0Lac6wAM+mzU0/eykwdztjOW63N5YCczeM25KsfwiZf+FB5r9Y5nWQF1mGAUVLk3mJ3TxF7kU+6hI36QwGgaGFqwSyLmJi1WqMUikThBHuriSO35RK67dhr5FPdMNQfOcNzb+nZ7ZZEOARQavV1RCtVgLXLRZ6HAcoleIUyq10l3cW7g4Ad+8GcxNnAAVkyKJzl6jV2H0U7nP+9ysr3AiKEF1+3uU9wW2b0NVKJUnh7kYqGGgW6AdxDFSrWVIslc9KZaw3nHQNmE3ML3Kp893y/D2SjtpkYqTQahPVaqaNMJ0amgIhEM7V1QzZMqtEPO/eyXMqnP2jI3YC+WwwsUkSbvZXV5kotloRplOrcA8p4BbreykUGYFH+z6REiLeBTDRX1srFiqkm36Trl+vZ+rEVUK6zbY9vxABZFZx5XIJYQj85jcx9vaYAFWrRD3kk4W8xZppkj9OqC0gSIsoYsK8sRFpNXqxWpR73u3aiOMioqfTsQowXHmd2HHFseheZJ11KULu7xONIEWa7e0QhmGg3WZyt7LCLuSLFy4OD1kc2dtzEYZE3FgWu+wspCoNia7XmWju7jo4PnYQBDwH12Wxq1ZLUrVyA19+6aHTsVMdAhOex++C1dUI9++HmE4Jod/dtVEqsYDYbEbY3Ey0cr+sH+UyofPtNikcr15xTO7eDbC+HheQFdNpCYah8PatSq37KN7WarEgYZrA69d8P4XcYq12XColePQouPBdJXB5QVfUagnu3QtSm7sMPZIX2pOfs/jooN8nR144/xyHCNOpiZcvXfR6JhqNRFM7Wq1MGFS45kplPHgKmhVRISI8CYi4YIznz0v6eh4+DAr6CV8nRHclL3Yln0M7SikcZb+njsj8Amu16qHRiBHHF7/nkoQFLkl4KTB5PVXqrxvzeO3Xf684RvDPuyTCtyE+ZguwZSyO5bjd3lhat90wbkuyblkWzs8tTCYXvygJ7U0uFV/6OiG8WGAxJwgowsJ7PUuLiM1uumWzalkXbaTmhXR6p1MDx8d2AX6d5z7nxZdEHO5jCMuSDu31UBFfJ/Lc6tmQsavXLxZQhId9fm7h6IjdRRY3stdNpwZOTx0YBnKdZIX1dXYgJxMmo+Th87cisCbwRuHGCm91UUgRJp/QSId3tihUq3GDvL9va2g64eHc1ArdQLQKeK7mhU2vQO4lBgMHvm8iSbKftVoXtQ7ES5e+26Y+t2o1wskJbaQajaRQLPK8JPUEzfydk8S40vtdUCX5e3d+buLgwEEcG9jbsxEETKKDgBviWi3BJ5/Qfo6Cj0onCNLVFS5tt2vh7MzSiZjc73zhRTbcpRITG0li3yXyxb58yDO9t0df6tnNdp73nw8p3PT7LkxTYWPDx6NHQWF9GY/FJ90ChfuypME01YVx8H3CnLkO2an4W0bPkKTNNCnsxrlgwbYVplOKKcr18HhmeswEd++yePDmjZNqAPA1OzssdkmXXuzFDg6clLZg4vVrVyfPk4mZerYnGiosfPtaLcavf13C0RErKKQjJKhWVWrRR9TB6amFt289vH3Le762FmA4NOG6BjY2yJmfTk0cHpqYTHjvajU6Mty9G6FWIyzdthXOzhw9Zu12hDA0cHTkYH/fhm2TE2/bHH/xuAd4/8S6bXWV92Bri4r2MmaGAXz22RSGAQ0jbzQyfYFZrYcgMFJBPJUK0nFOHx/buhgtCXSSAAcHDs7POX7Hx+zyP3wY4N69Ig+cRbAywtDAnTshVlYibG9nybZQKaKIa4R0+eV5py1h9tlS2H771ka3ywKMadLfPkmMC7SafAgaJOPic16HIde/KMqETwGuC9RdiQvrjdB6RPX/JgU2y+Jzml8vs+MiTXYzy8QlLPrjiW9yj7KM9xfLcbu98aHGbpmsf8txWRVGvMEv8/xe9LNZaPJ1I6/Imp1H1j1oNrNu47xjS7cbyDbA5+cmDg/JOxa+tyQ2GxuE5W5uRh+VPd114n1U0JRiIiJiVHJvZuHp83zaJYmcRU/kwzCKFnHjsYGDA6dQaJlHP5BOPZD5ZFNMhr/nRtVKN4cq7ezyWJ7H/0tiyQSAFIVKJcHWVoxqNdYJtnBS5XM7HfFDZ9Jw9y75dnluKBWSjQvJ5CxMvd/P7q3ExoaDUknpcctv5OX/7Epm8PRSSWlUA48RoVIRp4Di2EmiLM/CoiQ9SShUJR2wOGbX/vyc9mhSJLMsYGeHAm9y7FotLiQuVIs3ddJxdmah07HSn1upV3es7aQqFRbDBNUAMLkR2oAck0mpubDjL4iA2XBdFtZExT0fjqNS67HFhQCBrtM/m2gazgUObq/np7xp3ivfZ5Gh3U5QqcQYjSyNGuKzQq/u8/PsXKtVXutkYur7LM9AFGXzcDAgTDuOmZzXaglOTmy4bqaLQMSQwps3LqZTUz/Djx752N6O0mthV77XM3F+bmM4NFNov0KjkaSolgT37wdwXUNrPwiNYTo10mux02QYmscuye7aGjnUX3zh4PjY1ZZ66+sR7t/34fsWRiMLDx9y7v/lX1bS+anSogATriAwsbERwnWR2qzxWRTtjNNTG7u7VHRfW4tQLifaukwQF6USReaGQxNbWxHu37fQbid484bnKN3tVitBtRqj37c0VL3VigpjBWSFHFkv8573vZ6p14fV1UgnuXnLwtXVCEdHFLl79MjXSBGhNRwcUDzQNIFPPvELWhRJArx962otEikwWpbC0RELGJZFZISgJKIIePHCg1JMusvlJC1gs5Nr2wpBYBTW8NnwPKURFfnvBNvm8/tNOLIsu3y3N5ZjdztjOW63N5ad9RvGbUnW8531m8YsDCw/XNMpNwHSRZXqu2lK9T/zmM2HQGebzat53bIJlg5Hv2/h+NjSfrVyXgLRnO0cDodMAmq1pAA/lffJ+VxXUO+bjqsqaKILcFnnBGAXRLpHkiRPJubc+5EPUbGXDvDsa+Q4+fd7XqI35e8aIt4Xx0VahXS1BgMr3WQmuqMJAEHAZJcK0WYOdqxSWy7ye6mYTb71ZGJqOC/50TxuucwEx/My/n7+euWc8tzJJEFq4+RgODQRBCotIHGeeZ5KedZ0BDAMo2Az5/tCKcjuRd5xQT4zPw69nonjY6fw+ygC9vddjEZGCsPk70Qkq9GIcf9+AM8TJIKJXs8uaEoIx16ee3Z+Dd0RrtcpaGZZmRifIFnyXd1Ztf38emKaKoU5J4UiSv76CIvOkuDZNUng7dcJKayIC0ZePEzGbzCgewaQdZptW+liSq9Hj25eH1ILxsyiS8T6JEQh3DCyQqVAhZOEtIow5Hpaq2UiWffuBdjfd9HpWFrJWjQHqlWFIACePSuh27X0uPT7ltbAqNf5ueSpG+laq+B5CTodR3PMXVelyuzkScs8DQJD2yN6XoKDAwdv39o4P8/g+HfuUEVd6DJKZaJ97IjGWrxMKUNz3fn8mRqZIfdsODTx6pWD/X03FT+NoRQHp9mM8dlnfqo/YKc2aOS4b26GGI0smKaVPusxPI9zo1xmQs+CiNKoCkGE5NcX6ZhLsWkyYRF5NDL1fQGg1f+r1SR9BhT+4i8qGI9NfPrpBDs7MXq9rMj26pWrqQ6bm3xu5Pey1gWBgWYzQhiaBScL0ecQ6PfZmaUpSOyeh5pmwvWw+HyIF/jH+P0msezy3d5Yjt3tjOW43d5YdtZvGLclWf8QVZjpNON7A0bKr2XyI5sd2cjOs92gyJmpN+f5iCLg6MjVG/5SiZtlEZUhXBIaSnsVJC5vPTcvOZWNZj6EN8lug0rPQ32jmx76ipcBLFZaFT9p24aGfQtscfZai/8nZPGya8lv+Mj9vKgWO5tIXjckoZ73eXJd0tHa3XW1tzSQQdezYstF6kIezjoYUDTKdRXGY+Dw0EG1Kor2vA/NZgTLyrrP06mJfp/zRviSvi+QWCAMqdI9mRjpfcxOnt16O01KAtTrcQojTzQkGhD4afEeSFc6U8GlLZMIlMl9imOkas+GHocsYec11esxVlbighAVkylqDuTpII1GohMmJs2ZgBwA3VF98CC88Lz1ehSuyvQALqcpyPFnu+G0G0w0SiIfeeh4/jhXPYuiCA5kQl/iVeu6Cp0Oi4qVikot7QDXdVJfex/dLn3ABdZrGCz20D9d5SwMs/ko18WihtKUnn6fXXqBbitlpp1LlQqSKZydUddgMrHSZyBCpcI53ulYODuz0euZ6HYtTCYW7twJsLpKVItpJtjYiKGUoSHaMr5xTEu483MLgwFh1abJOWjbiaY5jMcUfBuPTZyfGwgCdumJvAiwuRnhzh0q9QMK+/v0RR+PDUQRkS8rKxGePAl1Mrm2xvlcqSQaWSIOCuKq0enY+OorF1FEysr2dgzXJUxeKCk8L6J2BBK9uhrr+VGpJJhOKzBNwLImOD21te3a6io1FubRvabTDOnVbrPbLmgQSZRrtVgXQwAKiFIUEPjv/rsahkMTjx5NYZp5KkuMV6+oC1CtsnhQLqvC904cE9VQr7MbHgQUXsz7pFuWwt6eo5+ptbUIm5vfnDjcNxHLLt/tjeXY3c5YjtvtjWVn/YZxW5L1d63CDIdZN3V2mC6zxZLO7Sw0eDbOzwl7NmYOYttUSb4sCRTI5mhkLYTPLnrf7DnP84YXpe18Z3cyYYIpHV6g2PXlJpH3RbjY80JgvfnjzAvyIXkunU72OfnPTRLeh/HYShV0r9dlvMzGRjpXs/d1Hud6XojwUd6PeDaEHytiX/n7KNZ4Eo8e+Vd26cWuSFAYcm2TiVlQb5dNfZ6jKRDSfMGGhRIgjk3dLfR9UxdrbDtJE+KMmynX0GjEKJXoWz0eK13EmvV8FyhvHFOFfDCw0sSJEOHh0NIWbNVqnML+DQ2BlgKECLdRSKzotFB0duBn550cxPUgCIA3b1x9LbVahMePQ40EyJ+3+DPLXMxTIGaj3zcL1AI5hmkWbet4fuxeX5fDLs9ykvCcpAssEH+A4yoq3a7LJFvWM9tWumNKP28Dtg00myp9TYKVlQhra8V1k0WFzMJw3nNO9W92xX3f1MJaoqwOkPvf6Vg4PqbNFpXCY3geRRHFZu3gwMFgwLm3skK7MfKnDX39gwG79GGYoQRGIwu+T2pHtcprAShSVi4naLUSrK5GABT+9E/rODqiCnytlqRrcIj79wMtfDadGvA8hd/8xsXenpsiA8hbf/jQx8oK52GSQAsfui4TTSBDMMlaORwaODx0NB3j3j0fa2uctzIHfJ9FYfFbPz52sbkZoN1OtJf96amFw0MnRcKwEGTbVFXP0yCkUCVjvbdH2pQUq8SertmMtfjbaGRojQY+U5zn0ynwy1+WMRhY+PGPx2i1+B1CVXngL/+yisHAxIMH5Ku32yyGiTI/wC47bej4HNi20nPt9NTC8bGj5/inn06vjR65jbHs8t3eWI7d7YzluN3eWHbWbxi3JVlfVIURyOoiL9N5quezatyLulvVKjdSQWDgxQtX21fxPXzD6uq33yFQKkvCFyX98/jas9dMcRyg22UiM53O7+STd0jY72RipiJeMVxXPLCZcJRKccrN9NLEYHLhM+X/lcq7wxyFNzsbeRXx2eukxc78D5PrE+GjeXzi/D0RZXAJSWiu6syORiZ+/WtPv3c0YkJCux++Tu7LvOh0TCSJmRaWDJimodW6h0NTCyg1GnEKkSfsWz5fhMEWeZ+PRtXU0szXnGQqqRvp+RoFIahWi57K5+fs/g6HFjwv0Zx9103QaEQpD3w+fYTQ7vyNUyn3PNHJrAQFF2l7JTBoESxzHFIAyuVEe1oTYqzS+3JRoG0ebz+OoakHEvIMZFBojp3YmslrFkX+NUEgHVEWNzyPHeTxmHBygQZTpZzjeHLCxE5QHQ8eBBqxs7UVpUUU+mAPh1f7BgOZz/t4bOLgwMbxMSdFrRaj1aL13MmJrcdeqQxyLrZttg3s75M6cX5OazvPIzrp4cMQ9+6FGjbP61dam2MwoJJ4uZxgMDBg20w419aiC0WR9fUInY6Ft28d/Mt/WcNwyDn5/e9PUa0m+OwzP+3+8vjCdx+NTPzVX1UwHPJYm5sRHjwIsbnJgo4U90jxSBDHpqZK3L1Le5lOx0oF/Cy8fu3AdRXW1iJsbUW6mCHUFTne2VmGbGm3Yzx4EGAwYAGo0+FcbzR4HzsdG3HsodlMEIbZ2Pk+9HMhwn2mSZcH11UaUs4iW0Z1oKI6OfQyb5898/Dllx5ME/iDPxhhczPW1Jjh0MRvfuMhigz8/u+PsLqaaOSGJPzb2yGqVeosyPmsrdFj/dkzT0Pdm81v1lrt245ll+/2xnLsbmcsx+32xrKzfsO4Lcn6ZZx12TTP4z7P2zQLHDXfTSJP10GnY2k+K5WSyb198KDoSXzbIs8flJjP5VcpB5r3WxKCecgE8cI1DCYX5P4zQTJN5IoHVkoniFP4boJ6XSFv2SWfsSgExm6aCr2eVXjtLG9zOs06sYtCOqkiwrRI04Bc5mJC6/vA3p6red+ZcNalH5mqzbOoMhhYKJUSPH3qp3DlIm95PM78yGWjLFQHdsVpNWVZ0F7Vpqk0J1q4xzy/TK17UXQ67H7u7VFVPUkUHIeFGKX4zFWrhOGSrmAgipj0UlCP/+/1LNTrsbZvsu3FkPJZ1WogU4mfp5AuHuxZgSfGw4fh3HkzHnOMgoDja9tU/yZ6wUS/b+vim1KGLvbNQoxFMCxbE7KQeSL6ALMiVvm5FIaZuJl05aPIwHhspN1tFhjC0NRCZ/RUzzQGRiNLU2h2dqKCcr9w58VhwnHMtGMea565JHSDgYU8I+XszMLenpvyjw2srsao14mCqFTExUAU1jlXTk5MBIGlxT1JjaArR7NJ7Y1mk77f6+sU/QOI5uj1bF3Qa7UivH7taj2FUknhzp0Ao5GpPdsNI8HxsYOTE1qeHRw4SBJSJH7ykxFKJUOvJY6ToN+30O1asCyuZc+fe+j1KK736acT1OsJVlYSnUADFDKzrATNJgdM5rAUAYl2IJd8d9fRloKEe/PaXJfzK4oMHB2x0x7HhOizUCbJPNJ7ymPQU92E5yWp8J0N2zZ0x0H49rat9BxaX49wepqpuQvdRtwAgMzejsgIA6enNl6+dLG+HuHBg0DPVyK8TOzuOvB9A48eBbqQ1e+bqNcT7Woh3yECcT87M3F4mH0xPnkyRboH+62LZZfv9sZy7G5nLMft9says37DuC3JeqlUQrdrYjC46CErQT/dxarSAJMJ6Y7kwzRpa5NP+j72uKpDDGQQzOk087O+7HiWlfHH35eoj1TQxuMpplNDd3DGY7GOmq8JMJ0ifU0G8xYVdfE1lwRUHkERphJBMFFNjiL6zweBWRAvyguj5YMJj0p5uZnnLsCE7s6dQCfZ80J8sns9U1tGNRoUpiqXkznwaf6dJIRyA0rD5qVgEASGFs3Ke6gLlcOyuIGmK4F5AQ3g+wb29x3dQeY1Gel9oDrzw4cZbHxjw4FhKBwcROj3rQL3ezxGCl8n/JbJR4ZGmA2O96xvOKHdYUjOq6BCRM36+JjcZolmM7kUxcIOYGbRVC4nGI+LfvbDoUCxiwWYUim5VHX9uhGGhu6W5kMSN0mw4phJ1mRi6HliWUpz3R1HYWUlgu+bqNX4HOYV6DkHzMI8EtQP72cJYWjg7CzWvxO7qnI5SbvzNvp9JpWNRoRqVcTHqBhvmgrdrpXa92U6CK5LVwpR+t7Y4N/1OukQefFC245xdJQlc46TpOeYFQHv36e13Pk5E1Hh2E8mpu7eEhpv4MGDKR49CrXYpvg/P3/u4uzMhutSiG0yMfDihZcmnz4ePIjQaESYTql2D/D+j0amTkzLZaVVzMXOrlSiYv4XX3ip57vCD3/IhJ8JNM/t+Jgc8SAgLarVivUzIaKhvR6LLp6nUCrFePGC62KzmVFcTBPY2aHSunQcOAZGSqlSmipB1EFm8whkxTNxTmBh0MCrVx7q9QSffjpFucznNIqAn/2shL09F80mf7e2FiMMs/XO8xL9eaUSldWlew6QsnTv3m9P9/yyWHb5bm8sx+52xnLcbm8sO+s3jNuSrN+kCjOdsoucTzBkiESwap5H8ccQAmGWzpPAyvPw3CSB5v1Wq/OTTQnXJc/wOp3fDxXXGbt+n6JQJycOJhPhLNN6C4AWnBL+Lt9T5GwDWTczirJjAOzoERZNVe7LrHwoPGim3WMjhRgnC7n5k4l0PjluJydWqr7OzeydO2GaGBp6A+95CQYDCmWFYXYs0yTMdDAg3FmKFYRDU+BJYOH5EArD/j4vTDjOUZTZqLFjG6YFAyb50vEW4bJ8R9uyTNi2QhiSSiL2TUCmFzAvZrUeokgsmYo30PMIIfa8JOXD21okyzBYPFtfnz9nCDO20uSQegeSPArChvOneI7X1Sy4KkQtfDZsW6VQbl6H+Kj3+4R5r65GePvW1Sraq6tRyqdmp1cE46ZTU/OLpfufD9dNdMKaJPRjPzhwdRe8UjHgOEC5HGptg4MDdqcnE6r3b27y/to21czD0NCw9E6HXuKrq5G2KVtbI89c1iaB3ne7llb/Jh0gE3GMIgMbGxFGIxYlPC9Bs8nCg8z/3V1HF9VGIyPlhScYDo0UccDiWKnEcadFIpNxACniigny4aEFx6HN2U9+MsLWVqTh45MJ14NOx8bqKgshjsOEW/QXVlaYZB8d2djdJV+/Uknwe7830SJxEm/eOKngHREIrZYUVKhbsLoaIwgMfPUVbclqtTgtGvJzP/lkfuHZsgg7PzyUQlqiCyDCcVeKHuaieyLfAfJ9JyKAe3sO1tcj/OhHE0wmGVXj88899PsWvve9KT79NEAYQmsk5Glh8tkiVvfbwD1/11h2+W5vLMfudsZy3G5vLDvrN4zbkqzPVmEEGhxF5FrmudqeR5GcZnOxaNQ3FQIT5YbS1IrLebVlJuSZxVC5LF7CTFqk+5vf2NXr76ZgflUw0TVScTLjQnf2XcJ1vbRjFmIyMdDvm7qzJp31SoUd2o2NUPOTZzuxcn6A2HfNV0a+LES9nPBu/sz3s041YaXsss5upMdjE50O4chUMecG37ISeB4347VagocPAwQBu4LS5YtjQp4nE3b2RamfFlR2QaFeYOvr61Gh2xsEBt6+tRGGRurnbs4UEOg17HmZ97rnZTx1eWZmu+60b2ISkKeQeB47ouXyWCc0oiZOuHXGY2dCyQJKrRajWlW6cGLbTILy97PXs1Juc+Ytv7oaa/XoeSH+ztn5JQgCCp9JIiUQc/o0LzzUtWM2KZdrEDu301Na8NECUpA7dmrFB/g+E+UwRIoGMbC2FqBWyyy0plN2vEVtXIog+fMXTYrJxNB2gHK9ALusOzuhtpl0HA9v31r42c9Mvd5sboZYWWGS7zhJSq3gc352ZmmbNIDw7AcPQjgOaSfSqXUcVUgImZgS2m1ZqkB76HRsLYwof//0p2UcHjopusBItSEImc93g4nS4M9lrP/qr0qpd7qJMFSo11UqiEn1+CAw8eTJFA8fRtrzfjqlav35ua3HjoJ00GJqEr2eid1dF4eHDhwnwZ07IZ4+zfgCSQL88pee/r7xPHbNt7epGv/qlafRLUHAgrFlKTx+7Ot522gs1qCQa/f9MkwT8H3/AmLl/NzC2RmLOSsrkabTiPXccEhKzP6+jcHAxtOnUw3Tr1Zj/OxnFYShge99b4ytrQSnp7Yu6Inehecl2N/P0BDr6xE2Npbd86ti2eW7vbEcu9sZy3G7vbHsrN8wbkuybts2fv5zF50Od1xUDY9T5ePLxbzyIV2DPC8945YaqU2bdK9Fnfni+IahoX1qZ3nOSsmmy9SdNnpd80WLxOzmJd/z+NyLBPGuiuvyw2kJJaJd1zv2PJ64iP8BPIjrhlowLQ+VnRcC/f0QIT7R+WRSfk7/am70BWosXF/PI0pBLNfEai6OM/Gn7P6q1JOYczRJWFSaHTvXJffcdZVOXkcjA8NhprQv88+ygK2tEKWSQrMZIYroI25ZGYVhdTVOiwrWBUs1KXAwIVYXOsOz3HY7HfwoomhZpyNCWaJ2T2HBzKeb3UU+P4a+VooWEuUi971ajVGrKc27zt+TycRMubcZZYL+1hHa7WxOiIJ8FDHx4x8ULNiuG2LDKJEkhoYT12qJtpkT5IsUO5rNGI5DgcHplOewuRmlFl+kGbTbVGOX59+yyMmnWB//LwUswtSJ/JB5B2QWj6VSgp2d6EIRMoqA3V0HP/tZGS9fegBMNJsR/vpfH6X2fgYsK8F4bOLZM0/7ypdKRK/8zu/4GnEQx+zaZveC93Q0MrXN4vm5Dcsi716KJdOpoZ8NziGFX/+6pO3khkMLT55MUa8L9YVFGttm15+d50x1fjTi+O/vO4hjrvPNJtdTx6FH+/6+i3Y7xo9+NNXc/CDgHD04cDU6p92m0OLsGuv77HxPpyzKbG1FWj1+PDbR7Zrodon4SBKgXo/guoZOysWyrVxO8PhxgH6fRRXHIYqn3zdTSkl06Zrb6fD5ID3CTgXaprAsqqofHTnaYq/djvXa2GrFmE6N9Pciakdu/tZWrCkr//pf1wAAf/RHIyQJERDn5xaqVa5P+QKq4yg8fep/a0is2xr59XIZtyuWY3c7Yzlutzc+1Ngtk/VvObxUocj3/bm/F0sbESaaHZL8RkkScnmfJOfDoaV5naYpolFqjkJ10TpqNgQe+iE6399GSJfoMiV5x2GXM4qQ2sXxBe12hErFTY/DLpXYH70rF17g8EysF/usi4L5aGTqQoJ0qvIdNY51rDuIngfN0Ww2yeXudAh3DUNT25Xl70UUMUGJY26Yx2OzAMGOIm6sLYv8VoESyzkBTGDb7UQnF/kClHDggczqLggMnJ3ZOjkW1exSiUUF+Xyx8MvDqed5fufvW7drwTRd9HoWfD+EYfCe2XbmH79oMy+ceqJeTBgGIcp5ISxxMBBuLK/FSjm9CSoVpe0I5b4tCsuil7vj8NxcN7Mik/koyAVC5O0L60P+mgYDUjLi2NBd7smEMH7TZNL4/Lmn55SgGNrtCHEsKA0mc61WrD3he73MVYCFRpWOp3EBnn+ZKGAQAM+fl5AkwM9+VsZgwI57va7w6NEUn37qo1ZzMR4b+LM/swHwOuS5+93fHV8QARuNMkFDcdcQbYd2O9KoCTn/lZUI1WqiYdXTqYHdXQdKGdou07IUPv3Uh2EQeWHbTO5bLRaU9vacdC6buHMnTBEvPJ9u10alQr743btBOofIF/mrv6qi2YywsxPg7t04VVY38OqVq8djYyPCw4fB3HkznRIePp2aODszsbqaaLpQkhg4PbW09aJYDkpx7s6dAM1mkhY0HFgW6RonJ0Q71OvikAFdpF0UUQScnvJ9Shma3lIqueh0TDx7xiJUo0GVf+mw0wbT0rD1ajVORTeZpMvYHh1Z+OKLEhxH4Q/+YKxt9ljoSTAY2JoOtLMToNX6OKlhtyWu2qMs4+ON5djdzliO2+2NDzV2y2T9Ww7HcVKv2sVVGNcltNi2lVaOzodsKoUHLMFNGZPv/OZOEhnp4N0W4bmbxKxf+rxrzCenvR75oew0yYsp+Jb3J87fR9t2AKiFFbR5SvOzSILZ14ZhtsGdTXqlg2uaTDCr1aQgfKYUcHhISLUcz7LIyZWuofhwS7TbVH52HKWh7YQ/Q79OePXjsZl63meUB9vO7Mo2NsK5MHsJUgV4AwcD+m17XlLopkqXfG2tiCrJq8jLteaT5NmIYyYMnU6WwIpQY7lsY3U1RhyHc98rwWTR1N70jkNesnT6RYOBCV/WwZPkDYC+LwJ7lhDNhnnFjUWFBnlft2unKtbsVNMSTcaGSe+rV96F+UX/bhYX+n0Tb9+6MIwEQZDd6EeP/FSMi4KAUpxaX+c1SKLb6XDsqlUmhBn9Iwux25q97k7HRhBkMPzp1MDr1y5OTixsbkY4P7fx8KGP9fUYzWaEL77w0O06KJcTWJYF21b4oz/qodGY//10ekrhssNDJ31u+bp2m4n47m4Gha7VYuzshIgiJopv3ripn3msURebm+xeJwkh5p5HgTrptJdKMc7OHIxGBsLQxL17PoZDG0TBGalNIFXSRclcaBFffeVqJMlPfjLC/j7dGE5O7BR+r/DjH0/0NczGeEw7uW7XhmEonJxYGAxsrRnQ65laA0AphfX1WMP0bZs0A5lfR0d2+vxFKbzdQK0W6e+b1dXoUk2M0chMNSJIGQlDomOEouK6NprNBPfvj/Q9FOqB79NjvdmMsb4e4csvadGXT9KfP3fx5g0RB1tbIc7OeI96PUvP/XI5waNH17P1W8b1wkkHPQwvXy+X8fHFcuxuZyzH7fbGhxq7ZbL+LYfruuh2TZ2sCxc8z/UFsg18qTQ/wRal6Y8x8ZYOf5LQBitJDO3zLH8LN/86509or6WTSHlf/t9SpDBNFBJU4SDTcsrWtIFqlUlMu13syhI6rzSstQj1LnbWF8U8/YF5Iechaumihiyf6ThFVXJRas5HuRwX1Nzls6XjXK+TO/zihYODAweAgeHQwHTKYoVlIRVdY/esVku0bdaDB8Glon/5iGPg6MjB4aGtOfoUFhO7NAqBzdNeGI3Mgko9ryu5IIQl4fsGnj/3Cj8T27vV1Ytd3HnjJsJuMic7HVtTOMZjI+W9Z91r4SHTP1whjs3U5os/azQuwuDzQcu+OPXN5s/CMFO7F3pBXmhQkkOhx3Q6Jvb23FRRO7NYs22OlRQ7whB4/drVRShJjHZ2AlSrqsCnpx82j/HoUWbrGMeEo0tBMN8dn6V2MCG3NGUg72Ut6B92vEWIkHZld+6EePPGSekHmfbFp59O8PQprezmjR078l56/6xU8wHY3Ay0Ur0UHapVai+EoYFf/crD6amdKsFzXTVNKqNbFhPhdps88W7X0vQk102wssJizdmZjbMzC9UqfbtbLXGaoJWbabIrvbkZ6vs1HBrY26No3vp6AMOw0ufF1iKJjx75eh2YjV6PEHrRR5C1zbIUnjyZotXK5pRlicBeNn/ysHmloL3nq9UEwyGLIbZN5NVlTggSp6c8Dwow8v2Oo3SxuNVisSMIygCU3sQIEmE6NfTa++tfX0zSf/7zEs7ObFSrUWqxRxqGOJw8fDhFpXLpKS7ja8R1v+eW8fHFcuxuZyzH7fbGhxq7ZbL+LYfrunj50ka/n2gRKQpoqYWJ6G0cFgomqYJncvFvvm5eYjub8OT9v6UTPNudzEe+05n/2WxifpNgwu9hNLL0Q7noWJbFRPkqnrxwpiVExRlgIilWaUnCYoVwhvNRqyU4P7e05dFwSG2CTsfGYEDOt2EYWFuLtEVSo0HhtLt3gxsLF7Kbb+HlS08nZ3LNq6sxtrfDSyGz8xLzSiXBPFcDUYWf1RBwXYWHD/0r769Ak8OQ1lcnJ4nmnhOxkCCOmfyUy1nhi4WcDGIvySY7vdm1yrMpxaHrPL9RxGvyfcKrpQtKbm+EJDG0OwD9sLP3tlox7t8PCl37szMLX37pFYT2BOovyXujEWFnJ9KaAKen2fO2tkbNAIGMy702TYXtbXbXBTqet1bM0B8sgrVaPD6pI/zdyYmN3V0nRWIkGA5NRJFYL/IADx6E2NiIsLo6X6/DdV30+yb29ynW2OsRafLwYZDqNLBTPxrxXrVatBfr9y0cHNhaYMy2Fe7e9VEuI+Xwmzg8tNBu81kYDGhFVq0muttrGEyov/qKYm1iF7e2RsE421bY2+MzWq8nePjQL7gHHBzYePPGRaPBwsR4bGqlfNtWuH8/1PNe1jWJXs/Umg1JQr2AbtfG2lqkOfpyXY1GgrOzjB4jUHfpoksIxF3WR89LNCUlf8x5EYbAq1cuvvzS08/r2lqsixvn5xZKJd4/jpvCxgbPaToNdIGg2WTh4IsvPASBiadPJ6hU+Fz8xV9UcHRko1SK4Pt2Og4swF1mdbiM9xvLxOH2xnLsbmcsx+32xjJZv2HclmT9twnuMgtNz0ceti1cXuGUXxaikC+J1Xh8kSbgeUUu9qIQOLNsWC97HQC0WlYqBPZuY5ckRcErSfoEohwEhu5K1+sRNjZijSjIiw/2eia++KKkEQeep7SPcLWaoF6Psboao9VKcPdu8E4CS51O5quetzAzDEJ78+rMi+K6ibl0tvt9wnun00x8UZKTmwYh50aqLu2g2zURhrFGVrRaifaFJgQ682QW2HceTp9XgQ8Cvpbz2khtB5MLiXmvZ2nrPQnTVNjaChCGlk6s8vdJhMQIt060FZhAtDsdq3C8ZjPG978/RRAQkszzzbyr5Xronc3CmKicA6IZYMKyCG1fdK8bjVgn7RKjEbvkrVaMkxN2nMX9IAiMFDnCsU4S4P79EFtboRaFm1coop+2meoN2JhOXRiGQrPpIwgM7Qhwfm5rBIwI3J2e2nr9qNUS1OssbsnP4zijXSgFTS0Biuezt2fjL/+yoo91506I+/cDbG5G2N11NMd6ayvE+noM32fRKoqoV/DypYtyWWFry0e9zvsUBBTta7fjuWtTqZSg27X0WqYUi3eiNt/vW3j40NdImGqVCXoYioMB7/c88bnTUztV8SdM3XWV5vKvrS0WjOt0TDx/7qHT4fu3tmidFoYm3r51NLx+ZSXGykp0oXgWBG6KGgu1MN2zZx6m0yxJHw5N/OmfVvHll2XcuxdgYyPEvXshHj9+t3VrGV8/fpv2KN+1WI7d7YzluN3eWMLgbxi3JVn/rghJBIGh7aoWBe2MmHiE4UUV8dnpdpVgm3CG81EqFcWP4rgoxLVoSstn3ERA76ZjR6h1Zk9lmvy8n/+8XOBvVioxdnbi1Fc60aJgvk+Rq7y12GBgwrLoYe55TPYbjfjaBYp8DAYZPFciilhgaTZjvcGWBJsWXvSZFli4RF5kTUI0EiTysPLhkEmiJM+NBq9jbS1GqZTceKN+dET+MfnRBoIASIcL7baJjY0Y9foEUcREO4ObZ773IoxmGNBw+nm8cuFuS8J7fm5duB88NtXLJQQh4fsi/pj5bRdF/MinJtw9G5xWK8LWVpaEn55mAoilUqI77r5POkW3a2s4dKmUIAwNNJsxptPsOXJdPj+zz1Geny/H9H1DW5Pt7xPy3e1aePXKheuqlLYh6A1203d2onTeF+eCHDNfnKOAIBXzfR9wHGB9ncWo09MoVUk3U6V8sQ9UWkBvMjFRr1NMczIx0iTawOpqhGYzxmSSiSXmRdN838Avf1nG7i5pJqWSwo9/PMbWVoxyOcHLl65W/3/yZArPywqLrptgPLZwcmKn4nhE1NBtgP+vVqkj0W5nFo1SQJGOMwBsbISaEnF8TOX21VU+h+02+eOTSXbPZP5Qp+Lisy/FE7FYFC97FvQuIln29mycn9vp3KIt5N27XGfKZaXnRKWS4P79YCGyRYoIrZaDZjOB7/t49ozolidPCGH/V/+qjD//8xpMU+GHP5zg7/ydEcrl+cdbxjcb35U9ym9jLMfudsZy3G5vLAXmbhi3JVm3bRvdroXJJFOTnuff/G3GdDq/w50/P+EmmmYGZc930GcT8vzrrxP9Pru5cZxx+sUubfac8p/JLlxyY9/y68RVFg1JQqjoZGJqm6/x2EAUZRcdx8D9+wHW17lx7/ettOubdUVrtSjt0tkolRIAhk7I2+1Ye9MHgZFaPJkFGkE+gsDAmzfu3N+Xy+SzS1eO17i4YEIOcaLtwPKvyXPM857eSjGZpTtBNgfmiZFJcSIP6ZZ7RvtBJkBnZ1bKv89CuoTtdoRymYmtcLoty06PE8FxKNQ2GGTFEqIFLnYGZyOvZC8h8GnXFY67pZNN28YFocdWK0K5nN3j4ZCd5G436+Q7jtKie/nnRTQNJCqVGJOJpbnbcq8FXp+HlkdRdi7VarE4IAUE+fw4ZlJcqST62L7PDnGn46DfN1M4NTnYn34aYDplMUnGIV88kM8/O7MLc8Z1FZJEYX+fybDjKKyuRqjXk9TuzoJliR83ESOVCkXVSiWVCrURBi7Cb8Kx57yGvs48xUQ0D0YjE7u7Nk5OHDx4MMXDhyHu3YvQ6Zjo9219Tg8fBggCqsRHERPw0chCuRxjf99FvR5jPDawthbr65dCmqxDYrOYJNl9aLcJ7+71OIadjomTE07aJ0+m2NnJqBaitm7bShdoms350PVul/eMyIPs92tr2RxXCnjxwi3A9ldXQ+zuephMWOCgOF1mDzqv4JIf39NTCnCurMQp1N/Gs2cuRqMEW1sBPv+8jFevHOztuXj0aIo//uPBjWk4y/jwsbSRur2xHLvbGctxu72xtG67YdyWZL2UquhMKR0MIFP9vizZrdffj1/3LDR5no2ZCGYZBnQCIhvE2eQYyOyiruMRn7dPky57v28iCIpJkIh9maZKPaDf+ZLfKQhrZYdsOjVSxXUPcWwgDAN9D87OrNTKCik/nCrQTEgjNBoRDIPJ9GCQ+RZLiL3ZdGrg2bNSQVxuZyfE6ur8JJKfo9LkWWF3t6gGLmHbwMOHPhwnUzvPj99VSeps9xPIEvMwLCaP06mBt2+Z0DhOMam4am6YJi3LxJt7PDZxfGylBRv6TZdKSqMvNjbCgiL5osQF4DPX7Zro9zNOkSjiz4tZBIdYYNVq/IxMDI22bOz2GgWRw1mBPBG0Y8KdJa1ELcSaAz8bZ2cWXr/2MB4bqc1ioo8nAn6DAdW4Bf6e7/gLz1wKPJ1O9izLccLQSP2+De2JPh4bODlxYBgKw6GF6ZRd+bW1CBsbER48CPDVVyXdud/YCLG2FmtNALHiy4/v6irh5z/7WRmjkQmxhqxWWUDp9y0MBhY6HYr3lcsKluWhWo0xmYRaSf/OnQC1mkK1GuHFi5JekzyvWCCQYkW/b2pFeCrROylihMJ8T574+OKLEno9CuC1WryOIMhs3zY2Io1cOTqyteXZzk6IMOTvbZuIAkHHCJ0jDIHx2EKzmSXz8lwNBhaOj8nlF591ifE40xBwHELXbXt+Fx1g0WV/30GlwrltmlwjVlZiRBHw7FmpMCY7OwHC0MTJCee3aQI//vEEtVqiiwMsoCxG7IjQnGUVIfVffOHiq6/qaDQSTKch3r4ld//pUx+/93vThcdbxrcf8/Yoy7gdsRy72xnLcbu98aHG7ltJ1g3D+L8B+J8AOFZK/XDmd/8JgP8DgHWl1KlB3Oh/BuDfAzAG8L9QSv3bqz7jtiTrlmXh/JydIonL7L7k98IbXiRiReVfVdiIzzt+pZJ1R4TzXBSnKr5Pks55CZ34UOeV3efBhvOfP5mQR5zvGDYaRW/mRaJ68+Dz8z7nOtZYsz7qFz8rE8TzPPKRx2OKnQ2HCoMBN9qVSpx2UAl13dyMMBhk9lzlMn3uxW+a1kYmDg7oHy1j2mjE+OEPpwuT2vEYeP26dOG6lGK3+9GjohczO3VW4XXSGYtjCq8JAkCKMoOBicND50L30/OSVNQv8zcPQx4j70jgeQl2dkLUarzmq9ANVKa2cHbmFH4mSdnGRqgTdNdVmpMNXF28yidLlmWlBZ+s8pkkwMGBowsRk4mhu4zii87XGVhdDbGxQRh13k5O7m2eAy73vtu1dGFK7k+rFaFUIjoijziQ65bOvRTuDINJ9sOHRVG5vEicQPbl88/OiEIR14X8c8VjcgxFT2IyYaJ+emohDKmSfn5uoVJR8Dz6vt+9G+LOnRCjkYmDA0evC59+Ok1V6vmZcp35exKGBr76ysXpqa3XsSdPpmi3aeW1u0t1dsNgx7pWS7CxEaXcfMDzZC74aDZjvHnjpiKKfIY3NzP0gaA1jo/tgjaEUgnevCmh3+f7Hj+eotFIcHzspJoBRgEW7zjQonCDgZmKFAJv3ngYjbh+CXqgUuHcFN58/pmUAqRtZwnv6amF42MHSaJSB4IEn3ziF4owJyccW8dJNCrnsmKUuASIw4VlAbad4OgoE5WQMZF7lSR0DKhUiMDY2YnQ72dK87NWirNxemqnaKdYn/vr1y5+9rMS+n0Lm5sB2m1gNLIwGin88Ic+HjxYiifdhrDSgY/jm9GqlvHtx3Lsbmcsx+32xocau28rWf87AIYA/st8sm4Yxj0A/xcA3wPw+2my/u8B+Adgsv5HAP4zpdQfXfUZtyVZf5cqjFghXWYFxs05dAd6fiKu0u5PDLH1abWYwORhwbOxKOl1XYV6fX7XVASxZpPhVquYmL/PkGvOJw5yLkCxCDDbsafStKnh/BKTCfCb33igB7GVqkD72vLJ85KC13ipVOSOn5+b2N8nL1wUvms1JrUiFBVFQBCY6HZNvH49X7XN84B79+aLLiUJ/dZHo6xw4jgcG6UIP8+HwNknEyuXYCnYdoJ6XWnV8PzxZYzztIbrquuHIfDypTd3fjHRVIV5Wq/TUisvZnaZlRuQqWcPh5zH0gXnmJcwGJjo9UJdHGEXOkSrlWghtCxBp8Dc7PM27xwEreD7WeFqMjFQrTKJE0s3ICuKUOvBSK3ByK8eDi1NdRAl8nzM6h9IMqUUkyThl7fbLKzZttLdYdGL6PUI2ec9UKm1ogHHSeC6SJNrYHubUHTPSzAemzrRbjbjdL4WT0642PLMTyb0Ue92bZimwp07Iba2Irx5Q3V2Oe9aLdZq8OOxoZNnANjcDFNv+ypOT02MxyGiiOMkyWGpxHN588YpOERQ2TzBF1+UMJkYSBIDf/NvDjGZsIM9HrOYUa3SbiyKDOzshLBtzsfJxES/zwdtb89Gv29hNLLwgx9MALAA0u+bmrokBRPRbVCK64CI9fV6FJAEAN9H6g+u8OmnGcdtPM4+0/OSVPTvoqJ7Po6P6RjhugnimLQZgfpHEQXhZgso5+cW9vddGAYt8gBDI4KuKoAJBQXg9Xa7direR+RCrRZrz/PXrx2srtp4+jRAuz1eeMxlfHyx7PLd3liO3e2M5bjd3vhOddYBwDCMhwD+6Uyy/v8A8L8D8F8B+IM0Wf8/A/hvlVL/MH3NlwD+rlLq4LLj/+hHP1L/+B//Y1iWhSRJtLCTUgqmaSKOY9i2jTAM4TjOlX/HcQzT5KY2PQ8kSQLLsq59jCiKLpyPYRiwLNp/2baN4TDCaOQhiiLYtn3h7ziO4TgmGo0QjsNjRJHC+bmDKOL5xDFfOxpF8H0Pvh/BcWxUqz5KpeKx4phJKbtjvCbHMVEqhahUrPScbZhmiLU1E1F09TUliUK36yAMeT7yefX6FJXK9e7LvHGybQe9Xgzfdy+9P5Zlpu9Hmkxn48RjRDg/L2E6jaGUjcEgge+7CMMIpmljMFBwXeiN6tGRjdHIgGEYmE6BJ09i1GoB6nUXcRzBMAyUyz7q9eL59HouOh0giiTJZHGkWo1g2xaSJIJtmzg+NmBZdnosG5MJz6NSCfH0qYJS2dxjYpnNvSiKEAQO+v2kcB/W1ydYW7MQxxfvsWzIw5D3eDBQCAIHjYYP182OYdsBbNvBcBjDcWx9DM+L0WioK5+n4dDDq1fQ5yXHcF0bDx5MUakYiCJ2cfPXVK9P4TgOjo6Ufm+1aqFW8wE4OD1NYFm8JtPkNY1GTAqVUrAsE5VKCM+z0OnEME03Nz8i1OsOSqUA9TpQKoWFuUcYL2Capj6fOA6xtWXqezkaRRgOvdT6zcFoxDkZxzGqVSbxTMwVTDPBygowGkWYTj3EMZ8nOZ8kCbG5aeLkJIFSTnoMA/V6dOFZiKIY3a6HIOB7m80pxuMSxuMIvZ6n7/H29hSGYWEyoXL40RHh3LYNxLGC65pwnBBBYCOKEqysGBiNYlQqFoIgQqVio173Ua0S8WMYZiowBliWgXY7hONw7q2tmTDNAI7joNuNEQQuRqMYr1+X0O0CzaYBw4jgOEZBbwJQuHs3xu/+7hiWZePwUGEycTEcch41GlPcvWvi6Ij35dUrA77P7ni7rWBZMWw7Qbls4PRUYTLh9bdaJra2JtjYMLG3p/D6dQXDYQTDcPD48QjdbgmTiQJgYnPTRxTZsCwFw0jQbhtQKsT2tonRKEK/z7VzMnGxt2dgOLRx584UrmsjSbjOtFohKhUj9SJX6PdtjMcqfU4CtNtcd6ZTFy9fGjAMG64bYDp1kSQx7txhJ9swqBFwdGTCMEzYdoQ45hxfWTHhOMHC75ajoxJ+8Qsbvm+i0VDavm1jI9RrRLudHWM6DbG7W8FgkGBtzcDW1gTn5yWEYYxSidd02To8mXg4P48RRS4GgxiGYePkRGFjA+laYmFzM4Lvm+h0qHXwyScRVla4Rk2n02t9X5qvX6P6q1/BPjpCuLqK6e//Pvytra/9nXvTPcD7OMaH3kd8yGvinsBZOG638Zq+i+M07+9SqYQwDPXrvwvX9F0cp9lrsm07LaAn35lr+i6O07xrks8xTfO9ns8nn3yyMFm/Ql7p/YZhGP8BgD2l1F/lFZMB3AGwm/v/2/RnF5J1wzD+YwD/MQDs7Ox8uJN9j+E4Dl69ctHtGjBNK4VHZ13f83MDZ2cOksRMB9WCYZhQygHATS9F1BRMk8eIYwXTtNINaAwghm0biKIMIi9/XBea85g9QCwASBgG1bpPTlxEkQnLstPzsRFFJno9VyeBhgFYVoIHD2KYpip81vm5jeHQQhQp2Db/DkN2qsjjVrkOokp/JgkTP8/zmGTJMWdDhNyShOd/fGwjSZjAdbsWlHLh+yEaDQuAQqlkaGhxvx+l1lUK47GD8dhAva7w/e8HaYfSRKsVwHX5ANVqNsIwRhgm2N8HTk5MHB+76f2x0GwqbG9HePFC4NIGKhUgDM30mhTabQNPn/pwnCQVPEvguj4aDVsXRrgoKCilEEVFL3aA43f3bgDHSdIHO0EYJulcIEd3OLQxGNjwfY5zs5lRGTY2IjQaCkdHxeLcdGpiZUVhY4PJVhQRNSFjDbAz/OKFg9HITsfUTJNiE+22iR/+cFI4r36fXdNez0K/z/lLtWxCgk3TwsGBh1KJCaOMcxAYODmx4Xkm2u0QYWhjMDA093s6NTUsmPOVIn337vlotZC7LyFqNQfTqYGTEwP9vo0ostDrIR0fiuzlw/cNfP65izg24fsOfN9Gq2WiXo9QKsXY2gqwuhojimL0erRES5+cdLws2HaMzc0YYch7OZlEOD+3EccGjo8t1OsRqtU4t3inT4ECTk4ISe90bGxsZB35L74oYX2dsO3V1RjTKQXOjo5KME0TQJJ2Y2OsrIQ4PnY1TzoIFLa3YyQJk9GNjRilEqFbrmug16MzAIsZJtrtCK1WgmqV4x9FBk5P2WkeDAxMpyzqTCZMcD2PSV8U2RiPLdy5k6TWZlMkiYHzc977P/uzChzHRKUSoN0m+oBJq4OXL11dINnamqDRSOB5NiYTE6enfI5sG7h/P8LGxgSnpzHC0MVXX7n48ks+m9VqDN830W4rHB66+OSTCHEcIwwtjMcW1taI7Gm1IhiGhf19Ay9e2BiPTcSxhb09E0niot32sbLCzvT2doyVFV9/yXY6VHFXSqHVUqjX+WwdHRl49YoCoo2GgVbLR7fLY//oRwEAjnW/b2A85sNYKsXwfXatt7fjtADjIMy5wCQJOeAHB2WcnSlEEYtfP/xhCNumCv/qqtJrOeecg+NjE0dHXMOfPqWXfRC4OD62sbUV6/OZh9hSCtjdtfDsmYNGg6KPtm1iYyOA5xlQKsHRUQkbGz5KJeDNGxvtdoKf/GSCSoWbDxYAr7etcA4OUPuv/2skq6sI19Zgjsdo/It/gfO/+3eRPHhwrWMs4/3ETcZtGR9XyLgt4dS3KyRZX/qs376wbRuGYXyjz9w31lk3DKMC4E8B/I+UUj3DMF4h66z/UwD/e6XUv0rf9/8G8L9RSv3FZce/LTB4y7LwV3/loduVTnv2O8NQqNeTgmqvhChofygI+byYFYoS+LBwZGnzxcQpz13ntaDwPvlZqZRgezu8ll2awMZnYbf5MAxgOgUGg0y0S7i5tVqCUkmlNlsKr165WmxqOqWIVamU4NEjH+vrRbiynHMYGqkVHDAYEKYbhuQvl8sJVlYS+H7mj26awPe+N8Hq6ruJAeYt3ZTKvNgXwc2nUwOvXrkaRi7cdHJwCQWPY2hv6HyIHdT88yB8fzYMA7h/30etxhsUhkW6xWBA3rVh8Peui5w3NudIrRanRaOi2rlEkgC7u9QHECsvepkzsVtZidJOHuHjs8lG3hceACzLTGG+gfaZFiG4vJicnHteEb9aTSAia/Mib8c1G8NhJuZ42Tien1s4PLQ1ZaTdJre9Ukmwv++k8G1o8bcwJC3CskiNoJgftO2WUqRBCB1DePP1eozJxIBlkUsM8H4qRc622HHFMTnJLILxnEYjcvp9n1x3w6AYYLlMWP3GRpRafGV2aHwfxfdqtQTNZoRqVen5PRxm/uNiWyhWekKBaLc5Bs1moBXl4xip5aDC2ZkN8QwXnvmTJwE6Hc6d0cjC6mqmwC90AuH2NxoRfv7zMpKEtIRKRWFzM0Szmej7l9cIADJxQvF2B1igobd7gqMjG75voNWKcO9epI9xcsK1VGzmgPkK69OpgZcvvXT9o46E6yZYWaEQ4dOn/kJRyDA0cHhIX/laLcbWVqjnRa1WdAGYjSQBfv3rkta6KJcT3L0bpkr7HJ+f/7yMft/C1laAalXh5UsP7XaMH/xgcuGcbsLla/+jfwRzNEJSr+ufmYMBkmoV3T/5kyvfv4z3F0v+7O2N5djdzliO2+2Nb4Oz/k2WUp8AeARAuup3AfxbwzD+EMAegHu5195Nf/adCMdx8Ad/kNyY38Bk0cL5+eLEdVZwLh9i57Qo2fd9Jn15jrlhZLzkfCIsiR9530kqnhTOOer8c+z3zVT5uagCP8uNZ8IdIwwNnJ5SiEqSuzz3fG0tSqGlmW1Yr2fj7AxaNCkMDWxthajXFf7e3xsUPKUlyHkm/Hd318HJia25nJYFrK8baZczRrlM/2EmLZfzqRfFdJqpb8t1N5vxXDsjSaDyxRMiJRSePPF10i3HBJAmu7xH83jQYWjg5UtHJw5RxCROuMHb22FBj0A+dzy2MBpBf0a1yg48u5AhKhWV/q6oPv/oUaAT2zA0cHDALmwYknMvtlsAxeWazQRPnpCnny+gAEx8LCtBGFLxPv+7ra3sHAByipQC9vbI0xbrrjBkEaBcpugeNRiKHOHRyESpRNGzq0KejSThv6vVBJub2fvEek3GQQozzWaMJ098jMcUl3vzxtWJXaUSw/Po0PDJJ0zShEve6dhaIG9lJcK9e0HaIeYzIPx432dhqtOx0WqxyLGyEun3dToW3r51sb9fRZJwTBsNJrbdroXDQweVSqJtAx8/9uG6PKdaLYZlUbROEABBYOikkL7rWSGp2zUxmVjpfCN1wDCSVG+B8HLXVbh3j+uJ71cwHlvY30/w6pWLMDQwGgHDoY1KRWF7O8T3vz9BpcL5dnpq41e/KqHZjLGyEuPhQx7n7MzCL39ZQhRB203u7rowTRdPn/pYWYmR9yuPItJhZKyksBQEmXCj71OczzCAnZ0Qr1556HSAp095PkCxYFOpcNykuJHNAxbGfN/AaMRi0eZmqC31fvjDKe7eDRfapgEsFpDqYmBzM9K2e8Ohja2txXP35UtXc+0nEwPtdoTPPvOhFLn/nqdwcmLjq69cTCYWdnYCtFpxiixI8O/+u8OFdpxOuihdZxPjHB8j3Nws/Cyp1eAcHV353mW837jJuC3j44rl2N3OWI7b7Y1vY+y+cc567nevkHXW/30A/2tkAnP/uVLqD686/m3qrAMfbmBpEcZNXj7BiSJgMqFCtXSs8+E4KoVWXzymdNTz4boJymWlN6v51/q+geNjuyD6NBuGoQrdUlHGDgJc6GKWywlWV0NUq9n1SBeU/6bXeBDQ/7tcpvo6Oewx1tfZic2fy8mJhbdvHYxGlu6M5zuD9+6FuHcvU1gfj02Mx45O1hd1hRdFPpGT8LyiGB1QVHEX/2UWS2jBtL6efa540edDbPemU3adJWGbJ5jGpCDSSQA9qxfb5E2n0ElFkvC8RNAMQCqUZqbXa8AwLs4N4TCzO0x7LtdVuHOnqHg+G+fnnLsSpF/MF7nLW8qxOESf+Xo9wGSS2ZBJ4cAwoNX6bzKmAJO3/LMkKujn5xcFG6UbK97lnkehsqMjG52ODcdJUK0qbG1RkE2S4U7H1olzHHN+12oJ2u1IUySGQwqUdbuEjYuIZLMZYXMz1ufT7Zp67IZDUwvH3bkTaSi8qLg3GjE2N2nTJkWBOCYvPq9MbpoJ4pg3bjw2UC5n4+66Mfb2PI0MkA78aGRqpFDek530CFt3rYPAwnRq4fQ0QZJYWFuL0GjE2v5rMjGwv+9gOjVRrRKVJIWC42Mbu7uO/qz19Qi/+lUZpRKLlg8eBNpKzbKKNoViNWcYRbtLQTHEsQHPUxgMDHS7DkqlGJ9+Gug5d3zMcRFrvyTJnDgODzneMkdrtRg7O5FeC7tddtNbrRiffuovVGWfTjn3zs7s1IM+E//Le7znY3eXYnxynpZFyz5BFci61u1yXTw4sFNEFGk5wyGdFeRaL4tlZ/12xrLLd3tjOXa3M5bjdnvju6YG/w8B/F0AawCOAPynSqn/a+73r5Al6waA/yOA/zFo3fYfXQWBB25Psn4d5UCluEEUeO6ihHfe+0wTWgkbwFwIdD4xYRKfWfYsOm7+HIZDUyeS+QRKpo/nUUQpEyW7CE0WWC0TJSqX27Z0NzNrOdpYZZ25OOamutGIUxQAOejSkWIXnIltt2vh+NjGwYGjVcDZOaTl2NZWlELlL3bGlcqU5QGx0LLgONdTfZz1sweKFlvSxZfPku6WQLBlHMPQxHRq6C5sGDJRCEMmTDLOk4mB83PpWlIwr1RK0oJFhLW1q73OZ2M6NXTBhdDqBHfu0LLKspioPn+eQfA9j/fRMFhMsaxMtG845ByTJHke/Bfg2J6fXyzyLEIc5GHsMl+CwNCdfgDY3LRg24Dv+5daYF038kWSRU4J4nqgFLuXBweEa8cxkQmmSe5+rcYOcLPJ+d/rZUWJ4dBAFGW+381mhOmUnx1FwN6eg1otQb9v6e7//fshWi12xX/1Kw/n5zamUwOWRR/7djvC+nqMMAQODmzd5e736fP9+HGAep0dYFG2j2NDI1GI0Im1V/xoZMKysnlYrSbodlkIE1/w9fUIUWSg1eK8prd8Nva9noXTUytNaol+6PUsjEYmHMdNu/pjfPaZr9Ezr165CALqFmxvB6hUeK9/8xsXh4esNq2sxLh3L9QuC0Fg4JNPfA2JL5VU4Tkkl51fuHk6SqWSwLaVLsq02xGePeM6vr0d6m78aGRqW7lqNcZwaGnawdu3DqKIcH0Zg9XVSPu4n5zY6HZJJ2o0koJS/Gycntqp7aOR0jTo+FCpJBcQQ3t7RBlJ7OwEmExMjdC5cyfUCvJ5FADXEytnS2dgdTXSiIfrxE1Uct3Xr9H+J/8EUaOBpFaDORzC7vfR/eM/RrDkrH+jsVSmvr2xHLvbGctxu73x0arBG4bxQwA/AFCSnyml/sv3dobvGLclWbdtbsryPuvzQuC5efj5ZGKk3tjzs/coQsF6TDon7Xa8sGMomzyxucpvOCXy08IwLm62AZ5b3lNaot+3UrhxXOCp12qxhirnN4nyGflrEPjp+bmVKkLT1kssr8ZjE/V6nCaJGay8Xmdy3Ggkuvsrm+V5BRDxxZZzaLWyrnEYUlSLXbXiteeRCvLZck/Pz82U8y4aBUqjD8plwocti8UKsYDr9az0uok+cF2ei2nS3300MjVyQCgKpRK7iu8Cx8/Gqli0ocd5omH1SiH1v+a1OI7C+nqIMLw4uQzjoh1b3hZKhOJm53I+YcqHfLbQNPp9A4eHLsrlRM8rw+B76/Xi/BTRnSi6Gso+G0nCsdrbs3F0RJFHGVseO0GrlXlk7+9TVLHfN3F4aCMITKyvM6HzfRPVaoxWK0Gtls3XUonPuugoSEe02SQ0+/jYxvm5jSiizdh0ys74gwcBPI/P0vExhRv39hydZD586KdCcgmOj0kjkW5uHBvY3g7QbnPOOQ7twqQIJ8U8oXgIJHs8NlM+dsbpH4/JsRaeerkcY2MjK67Mjv1oZODVK0//v1RiIanbpV+46xJt8fixj3v3aEcZhhG++spDEDAxffQoQKlEiPbBQUYHePAgwP37IcIQ+PM/ryKKgEqFr69U5FqyYov8LM8pBzII+Okpn11ei9IWbN///lTTL/Jc9MND2pkNBpaeJ80mBS1nKUhhyMRbrPEajQQPHgRz16bx2MRgYKbH5VwSBFGe4nJ0xONlhaoAjUaCszNbo5EEaQRk3XkZy15PPNsT+D5g2wbW10Nsb9/82bnpc+e+fo3qf//fExK/sYHR3/gby0T9W4ivs14u49uN5djdzliO2+2NDzV2XytZNwzjPwU75D8A8P8C8PcB/Cul1P/svZ7lO8RtSdY9z0OnY2I0un6HAmBi5nnc1Iua9qxKeB66OS8kEQeKCXH+9fMScSDjgs+bIknCTV+loi58tnQY43i+dzWQiSzloc69HpNxwnUtxHECpfKJZJLCsGN9vr7PTl6+q3qVrzs5vXyx66pUTZ+hFK9L/Mtdlxv1s7OogCjIXp8hACRWV6NU+T07d0E2CFRdErAwNHK88CxxZoJvaJh6uz2/S54v7FwVQj0gJNtM+dEqLdoofS2+T5E432ehSLqjEpUKEzFBTshn54szk4mRCpoVo92O5l5HFHGuBYGRqrwzSRRROIBzZns7zOkbFK89Pw9l3K6jtCriZqMRx0YS2c3NSHtxA6QEvHhR0ue7u+umbgIsQjUaMZ4+DVKfc0P7ebtu9owkSVZsUYpJresmePnS0/NrOhXUgkqVv+m+cHLi6HkbBECtRlTJvXs+Oh1bU0kEwXL/vo8wLOoLiJ88+fWx7jh7ntJUAhm7ej3WNJFOx8JwaKHXs1J7N1XQKmg0srGXogyfbQ5eqZTg7t0AnY6NV69cdDosWHiewpMn7OwL6mJ3t5ZqTgR4/NjHaGSmawP/bjRibG1FWFtjwvrFFx4ODnj9v//7Y5RKRNmIoBwAPUZyjYIcEgi4JLAA4eQZlJ7JNIDUF97W5yIJ9507ATY2Yty9u3h9H4/pdDAe08ViZYV0g9mCqgjbxXGGYJDnVJABp6cWjo8z3sraWoSNjQi9XrZ+dLsWWi0K/PG6ibYyDM6rVivGwYGNV6881OsxgsCAbQP37vlot9+9+Od5LMj4/mKUwDI+vliO2+2N5djdzliO2+2NDzV2XzdZ/wWA3wXwU6XU7xqGsQng/66U+h++17N8h7gtybqIEYTh9ZP16yTms91poJiwiODVIjVgbtwvdjrlvYSY06pqdprkucsC/559jWUVk7PJhBvl83ML5+dUZ67VCDcFuOEPQ0MXD8Zjs5BIS4KTT9Ly3NcgMDAYmAXBPCCjBcj7Go358Gr5vWWRc2pZgFIOzs9NlEpBAUptGEy+bbvIOZdj1OvshOUTfJ4bEMfmBRX9dju60B3+OjEem+j1zAvFllYr0tBo4an3eqbuHgLZ/fG8pMApFyh4hmJI4HnJXNX5RQUggNzekxO+xzCYyJBDy465JImz3P6bxKJnLl+8AjKqRrMZo1qloBqF6WytgD4YmDg5sWHbCe7ejTCZ8Hzv36edW7mscHpqo9djF1PusWGwAy4oBYC6D2FoFhAdpkk0w2jEZNg0FSYTU89RKWytrESpnZqtURq8Rmg4tIi9EcEhz4SV3hMmaXnthW43U1C3bZXC6an2Lqr73a6FcjlBpaLSopHS6uhA1gGmS4CtESoi4HZyYuPZMw/DIZPfajXBnTshXJfHUQp4/drBcGilyv8GSiWk/utGCrnn3Fhd5TM3GJj42c/KGAxMbG+zqLK2FhXEGOUcx+PsHti2SsUxGWdnLF55nkK1GuOLL8oAiFCo1RKcnNh4/pxOEgLxr1QS7OxEOom/LHo9C0dHFgzDSMUzFVZXwwsaEaORmXbBeb29no2VlSgdR4WDAz6f4oywvR0hSaCfI6VYeGRxRGlxRPl9Xkjv+NjGF1+UUK9HSBITrktRxzwS4l3jXb7rlvHtx3Lcbm8sx+52xnLcbm98qLH7usn6v1FK/aFhGH8J4H8AYADgc6XU997rWb5D3JZk/aou32xiLvD3vGjTbFyViMtr+v2sizwb+YR7VrVaQiD1hCTP77LnE7MwFK91EwcHtKYyTSZkSlExutEgd3N1NcbRERM3KTpIF9e22VUUQTn53DznU65Bfs8NdwLHUTMWWtDK8fOCxQNC64VGIJDfSsXBykqMMMyEpLrdorWcaWbwb+mck3ubeUoDTNyYdC2mKFw38gWC/M9EaZ42bknhugXpIIgJiXqdPN/Z+yMw6IyeoLTKd3btF0XapIMv4l1xnB1jOKQoWF5p/bLE/t3DTTv1HDcp9Ij4l5xPkiiMRrQilMR0MLCwshKi2ZRkOUarFWuefL2ewDRpYSVBj3ImhwJJZnfU0vZh0tFtt5nAHx3Z6PdNnJ9Tsb3VIly+XE7w8CGF0Pb2bLx86enCVLWq9DMgBZ8oMnTiLIKGmaJ5iI2NLDn1fQNHR1kXvlaLNeRboNFKJRgObdRqRLKsrkZakC2/VonLg2VBF934rAC7uzZev/Z0d3pnJ0C9rtJz4vnv7zvodPjsbW/TP3w8trC1RUSHafpaMLJUYnf42bMSdndtmKaBH/5wgmYz1teS75TnNQZKpSKv2/czMULRuTg6ImqhVouhlIHRyMDxsYNGI8b9+z6CgB19gcpfFUdHNo6PHdRqFNczTdIM8oifPJw+DOlYQK64Qhybep1rNDI7OCmM5K+33+f89TwWm05P+cwZRhEuf3xs4de/LqFWi2GanDOffTaFe9Gt8Z3jJoiWZXw8sRy32xvLsbudsRy32xsfauy+brL+fwLwvwXwPwfwnwAYAviZUuo/eq9n+Q5xG5P1vFCSRD45BLgJq9eLfO9FkRdLksgnXfV6UVxrMsm6THlYvHTd8iJ3ABMO6So1GnHK1bYxnVJpXt4/nRqpzRoTZtqmZYm1nEe/b+LggFUp6XJtbFCdfDb5FOjqdULgo5LAzCtkiGKz+CRLCMx8XsIYxx76fVNX0OgRzSQsCMg/loRCaAv1euZ3/q4hcOVFYpO2zUJA3iZNIP2z3HAptBgGu9XS0ZxNzkVgS7q+swiE/JzMW4Xl/w9k83c0MlGvM4mTufY+xN7yEYYXEShAscgSBPShHgws9Ho8J/H7ThLhKmeFKUn4xmMz9Xxngud5Sn+W55FfDXDeCYw/r1Yv7gwCHX/71sL5uaufh8ePA6ytZa4FvZ6J42M77bLyWVhfj/Dpp/6F5xJQMAwDp6csDFWrkggXk3OAnHpqIhhaFb9cTnB+bmv9ik7H0mgA6bQCRc0AAIhjlYqb8f8ZhB74/PMSzs/ZqV9fZwHINAU1wyKEFB/k2tiFj7XoJP3XKTDneRRvOT628YtflDCZmHjwIMD2dqjPKd8pFxszYP7a0ekQlu+6fD7/9E9rGI8tXSgRxXsphLbbFPfLd6UviygC3r51MRhYqZNFgsnEQrMZFdby4TBbs6OIYoS+b6DdTlJaQoQ7dzKv9rMzzi/OaxYelGJBQMbA901dlF1ZiQqd+4MDC198UUapFKFSITrg+9+ffu2C4bxYbkBvZyzH7fbGcuxuZyzH7fbGR5espyrtd5VSu+n/HwJoKKV+/l7P8B3jtiTr/3/2/ixGkjTdDsSO7b6vsS8ZuVdVVlV33+ZtDjj3DjmiyCF0QQwvCVCU9CBIkDAYCSM9CAKEwQASBEGAXgeYFwGCAM3LzIAYUBJGA5HAkAJ4QQyGd5rdt2vJyi0yMjJ231dz2349fPb9Zu7hHuERmVmZVm0HaHRVhIe7mX3mXn6+73znGIaB/X0DvR65lu/tOUsTlngkFcDu6DSFYVnmPJJJsWOXd9Uti/aN2XF9Vjav60I+/3BIrsamSYZnihJJ48djVU7exmOaCLFpk6rSNG40ouk2x08BNMm7c8dFq0XTaX59XZ8fyXUV4hMynjLNTv9m47RWVy+Tmfj5MznxfXLeBnQEgQLH8SAE7R+XyzRhYyOpmxxz/LXiLuDxnwORKZ4e46G83x83tKNItOg5+FhUVUxN//naxF+n2dTCBgc9jmO12PCN5cPx+wegerN0XNMiR3Y2NeRVBV4TeB+YtxYCQEqy+bzZlHAwMHF6qmM8DuA45GrteWRKqGmINS2mrwvHgo3HamhkF6Db1aW0vVbzcHGhodEw5PXm51BVknyzq3m3S02ubJZUIp99ZuPePVIwxNUcfH6ep2B11Qv3t/2p1Q3LErBtBc0mPX+hQE7ytZp3KVO71VJxempiMqGm0sqKi2o1QLutI5+nSTrJ7MngzjAC2VibbgjQPTgYRO8hnp4D5G3w61/n4HnkL7C97WBlhRp61LgSyOV8PH+eQbdLJpmlEjXn2CixXPakyzw3mwzDQK+n4sULBS9emKhWyayNCS+/72YN4uLSfIbrKmg2ScUgBL1Xjo8NCBHgs89s1OsUYzYcqqGywZcKo1mTvEUYjxW8eUNRdeRxQGoNikaLjAg52q3Z1PDqlQkhFNRqlGEfN3MbjyOFDMAeGNHvyOldSINCYH4T7OhIw7NnWZimCBtvwVLxa++CVNqZTKR1Sy7S2iUTad2Si09VBv87IcTX7/WI3hOSQtYty0K7HRnMxSXcTHQoBzmSvfNjdF1Ix3AGy6tNMwidmi+T8lwuCCPPpr9880TRskTMzCyS1PJkOJMRMreZHcP5GLpdTTqxA5HxGz8fG1Rls4F0uI/HXrFJ3LxM4OvArs7ctIg/B0+E40qFanWx2ZxtKzg8pIi342Ny8WZDM0UR2NpyUasZqNd9+P7NjCSuW0G4bsrMEzWeXA+HtMMcl9UDkZkef8FnxA2/AKrh8bEx5U9QKHgwTSycsGUyQdioiP7GcZRQLhyRGE27XV75PPCEXojpBoGqiqn1gbiUv9+nptDhoSknxaZpYGXFh6o68l6dJeb8PGdnhjQXsywREntuigj0+/pUHdmYzfcV6Uo+HKrIZul1KL6O8qvv3HHQ72sYjRR0OhH5LhZ96WsAQPo2cINF10W4k2xgNCKSWakEqFRIkh6fnI5GCl68sGT9i0Ufm5ueVAP0evQZUa166Pc1GIaAZQl4HqbukXye3q+8EsOIv4f6feDXv85DValZ9vixDSvaBghJvUCnQwqBIKC/L5WimMZKxZcmapx5rih0bzUaGn73uxJ0HchkbDx44EwR57hRWlz2HkerpeHZMwuuS83GSsWH4wh0u4ZcMWC1h+Mo8npwIkZcOn4VOh265zi/PQjoPZjP+zKhYTBQ8fKliV6P1BXdLuXO//KXY6lamVUFcTMiDspAV8NVFPrZoijEt291PH+egaoGqFapuXrv3o8zvUlNk5KJtG7JRVq7ZCKtW3LxqRrM/T8A/EdCiH/5Xo/qPSApZJ2j28bjy1+seIJ6XR427w/PwrIC+YU/CKKc8NGIjIqy2enmQC5HRGPRnjCbsTGp9rzIsIqbAfGdcSZVk4mKTCYI9+3VqS+Rs0ZlN0EQAM+fW/B9hDvv/pR5VvwLL7scz4JzuU9P9dCROcpY3thw5ZfteZL7RREN15FxADeSwnseXXdudLCfAN8X8dg7vi7sRg1EX/DjDv7k4E1ELZcjAhe/z1SVDcOiffb4x8FoRBLgeLODydZt1ARxzHs9OqZp4s/y8uiftdDETIRTbw2eR+e/t+dIEru+jlBlEdUt7jfAk3pNo0zwXC4IzQ/10O2crnG/r2Jnxw13ilWMRjSpzeeFvDaGQfnplKMuZMoBu+vzhJXNEnkaPJlMO8XreoDzcxOuS/dWuRxgbc29tNLR7yv44YeMbIBZVoD794mAjseqjNrjGDjHUUIX8kitYRjTKQgsIScn/OnfnZ7qeP6c/uOkKMCDB7RLrmlCSvazWR+2TbVQFNrR5rUJbih1u5p0umejOCaqr18bOD8nj4tf/cqBaQLF4kQ2ojiecVaSPhwqODiwpu6pctnHo0c2BgMi7UIAGxsOHj1ypxQa5bKPfp+uC8e5LYOjIx3Npo5ikYj/ZEKNmGzWR7kc4ODAwJs3ZlgbAccBymWKWeQJOq9Y8DXl6xEHS905WSCTEVOGmrN488bAy5cWALpGlUq06/5jIY0jSibSuiUXae2SibRuycWnGt32FMBDAAcAhgAUAEII8bP3epS3QFLIeiZDcU+2bV/5ODbmcpzL8nSOgSJ5pJDxX5rGUxhF7iQbBiSpvQ5xIzbeszWMiEDQPmwwNbUnUqhImft4rErTq0UTzOvA8mWAjoGnhKpKu8GKEv1+nuyVJ8sUS0ZS9uNjPTTPol3Q1VWSDC/jMs5kHMiEx3S5g/Yue+n9voo3b8wp2Xq16ktjuHmIR87xju9wqMkJJqsK2ACNZb2z90HctyB+PLlccCmi7V0y3IHFxoWzk/I4eSeHeNrfdl3ad+Z7azxGGGUW7ZjPk9tnMhmMRgoajUjNQk789PdCkBcDKVOoIZDNCikTz2YFhkP6//FYCdUs9Perqx7abQ3ttiYd2HUd0gXdMCIjREajoYWmgOTyrSik7NA0hLv0GkwzwNaWC8OIUh/Ymb7T0eW0O5sN8NlnE7nn3unQyefzdD8GgUC7bYTTZ7rOs2sQRDDnT88B4NkzM8yYp/f72ponFThMdlWVGhb5fIDjYyOMAQzCmtB7LG6IFld79HpqOEXPIgiA7W0Xd++6qNc95PMZ9PsqWi0nrGXUiHrxIjPV4LEsIsFEfjXpu3F0ZKBc9vH552SgxoocTaO1IXbin0eS50EI4PlzcoXf2KCotLjEXtc5elHBxoaLSsXH2ZkJgPbDNY2aNDw9593zeRiPyTyy3daxsuJJj4lFx/X6tYnXr024boCNDWpAxg0cf0ws+9+6FJ8W0rolF2ntkom0bsnFh6rdu5L1vXk/F0IcvIdjeyckhaxr4bdkP9Q084SP90D5SzAbBgkB6XDMvy8WfTlho53baSnsMggCTEUbCUENAJbgdrvapR14nop5Hu1c8pSTs7YXSTEXIe7SzOcG0DTeNKkpQIQDUxnkpkmkoN3mOKnp86BoLZpyFgoBTFPgzp3F3gAkt+b1g/nHShNRNXz87WLEmIQOBurU2kEuR7v7V02oRyMFZ2cGmk2aSJZKgay571MuOudTK8p0rB9jVpEhBE0jC4VIkQC8u/HbaKRM3bMMNi7k45p1ogeAkxNduoYzwc1kAhhGAMuiJgXL0re3HVQql++3uNKApOhaGPfl4ujICBsZ5P7ebOro99WwqQEZx0XTcXLfbrd1uQbiupT93u1qUBRy/q9UfEn0+D0yi3ZbQ7NJ8uVi0cNgQESd8sopLSCXI5kyN56IfFOm+WhE0/y1NRe1WoBczsfFReTkTs0VgUxGYDJRZPRZvX55jx3AVO4474czHIec1rkhsLs7QT5Pk3qSzgdwHFVOgX0fePPGRKkU+XAwEXccIpuKgqnmk+MoODvT8Py5hWaT3OZ/8YsRNjfpOLgZpWkacrkAx8fKJSPO+/cnMAyq94sXlE1fKNBn0XCooN/XUSiQeV882qxY9GHbtAKUycxX4MyD4wA//EANgvv3J8jlBL7/3kKjYcAwAmmcl88HyGQCnJ0ZcF3aRS+VfGkkx3L/q1ZFWi0Nx8cGTDNArRZcmWBBu/ca9vczcBwFm5sudnacd8pIfx+Y/W9dimQgrVtykdYumUjrllx8qNq9K1m/M+/nQog37+HY3glJIeuZTAaHhxouLjx4HnByYiKTIdIdd4BfWXFRqQSwrGhf/F0wG/PDknU2uPI8RRptAZf3yDn7GKAvyvW6L/dLr0Jcujx7e7E0Nk6uXBcIAkXGM3U6OopFisqK71gTGaf9d44m4mO7c2daxh6f1M+DqtIU9Lqp2k1UEXEHdjIXU0OneE/mS8+CM+rpNSAlvfTaAVZWaKqp62JqJz3uOg5cbsQAVAffj1YFgNsrHxj9ftR0iGM2Hmve9eeYrlKJlCB8PGtrDgBFmhDy3jrXZ56/AWeaA9FqRr3uSd+CTicXNsQcWJaPiwsDQihyDYRJFpskaloAz6Os8DdvLJRKPno9kioXCmREV6/7cq97EVotDScnhnSC57iuVovuDWoG+JIsjseqVKh4HhkbViqUTGBZQagu4DUXIvfcTBsOVSgK/WxeLr1tR1nuwGUDtmZTxdER7VMrisD9+06Yi27ImDu6fyKy3etpyGRoov7w4US+f+LE2DCiSTAbq+3vmzg4MJHPk6HakyeOfM/4voK3b43w/Q1YFknINzcHUwZvvZ6KZlMPz5vk+KYp8P33Gfi+gq0tMrhjiTlf/2ZTl+e/yL9iFu027aOzakLTovf4vXsTVCqBPA5NEzg5MUA56uT3oSjXR2vydXv6NBNGtPnY2bm+gddsanj5MoPBQMWdOy4ePpy8l4z094F0WpRMpHVLLtLaJRNp3ZKLT3Wy/jsAAvTtOgPgHoAfhBBfvtejvAWSQtY1TcPz5wZsm6Sj8SnU+0LckCwurfZ9Rbqx85dX2pOf/uLORlvxL/eLppgMjpO6vHc8LXFmMHlot1W0WgZKJU+6jReLgfziG01i6bYbj2lqSFN3kmbzpC/+2rMmfO9jt3peB23etJok0b4kL7SOIGRTJH6MnOdN7tSQxNk0hdwHZgLHYBd6YD4RnkxIIREn4bNO6cuCpc5BrPTc7JndnZ83UWdFABNh+nuqx8aGdykODAAyGR/jsRbK+zE1VYwbnsUN2nhVodPRwzUAFb5PjZ/JhPbRRyM65ocPJzDN6Jr4PuV89/u016+qASYTLZQxe2Ezx8f29vVun4eHBk5P9XCCTt4Avk/H5nlE0LNZX/o+8PsmnyeDuUjNIsKGC90Xtq1ie9uVe+3kCaHIve9ZMhgnv8B8D4f9fVOqBAoFH/W6D88j13hg2rBwMFAARO+xYtHH+ro3pcBoNKJzjBuz9Xoqvv8+g4sL+v32touf/3wMwwB+85uMvGcqFfJM2N115MoFv+f6fTJ940ZULudjZYXM23o9Fa9fW1CUKCuc88Wz2UCuUmgaTbSXxTffmHj5Mot8PsDmpgvDCPDwoTMVn8Z7/f0+xVBmMgKbm658reveb0LQvcfrIZ99Zl/bNOz1qPH64oWFVkvDgweOlPh/SkinRclEWrfkIq1dMpHWLbn4JCfrl/5AUX4J4H8phPifv4+Dexckhax/iC7M7M4pABhGgPNzQ35ZN00yI6pWL0vmmXByfBgbbXFmMWMecWNcNWWkv9PQamnY3zfhuiz7DWR8E0uIATEljW42tdDAyQ9doS/vTs+Sxg8BmnZmAQCOM5GkJZ/3MRzS9ePd73kmgfGJLcO2SVJdqfiyaWJZ9MU/vh7A5zxvkm3byiXJ+uxkexnM211nl+3Z84kfBxP3yYTcu+Nu4Hws7D7Nhm5A3GuA7ke+B3mKy/nRsxnxhkHrDScnxtRzBQE1BrJZgbMzHaOREvo1BHj0CKjVBCxrBIBqeXpqwLbJzf7szEC97iGbJffzfD5ApeIvNX0dDhW8eJGRqpX1dRfb2y4aDV06vwOK3D+nZgBNwEcjBULQ69l2tM/f7WpQVYF79xzo+nSUIRNwnr7GG32zKQCzGdueRzJu9jSo1SiCsFTy0OvpMAwh99Ep8s1AsRhIt3TyPJi+t3q9KBayXo+afrat4Le/zcr7YneX7oFsFlPNlidPxqjVLt+r3IQyTStU3NjyPlhdpfvx8NBAux1J3eONnGrVk40bXg+5DkdHtNrz+rUB31dx/76Nr7+O/CmazchPwDAoru7oyIIQ7PbvLrU+Yh4cwP6v/gKdwwn6xTVU/vojlH+xee3fNZv0+fzihYlGw8DDhxN8+eWHyUh/H0inRclEWrfkIq1dMpHWLbn4JCfrc//oE4lzSwpZfx9dmLjsF6Av8/RFLopUy+f9kCBM/63rEuGm/dtIZs6TN8sSGI1UuV8Zx1Vu9UzIfZ9IH+UVK7i4MMIvzD7KZR9ffDGRUuxeT8XFhT7lYM/7w3we1aonp5s/BuaZoAUB/TyXU8PfR1Ndnv7H4+24eTI7VWNiP+vazkSVH5/LUXZ9XPY/63jPuImxXdwBPQ5FIXOuOAmbJcrx6zMcqrIJpCj02roucOeOC8sSC18nruCIR1QpCp2H7ysyMosxGgGjUdS8If8CSFJ5dGSi2yXZuGkGME1gc9PFnTvkBt/paPB9MqdrNBT0eqRSWFnxZGOhUuFs9OunoY5D+9Fs8MgKiFwuwLffZmQTY2PDRbkcyEgyPnZy4w/Q7apotei4hKC67u05csUkHtvIjvHcOOH39Gyk37yYr16PJNysNiDyTcR7PKYdb5bjHxyYODuj/PVKJZASd12fnkjHmwLx/PHJRMF335Ek++REl8e0uenAtjWsr3tyhWD2Gs8mGvAefatlhsaQZAYZBMD331PDYXPTxcqKj06HfBy4AUh+AkTqr/rcePXKlE0x16UGRrUa4NEje+o91W5rODoyUCzS3jkrlFZXPdy/v9gLYxadjoftD6cAAOR5SURBVIbgxRGc/+e/QKGmYGUdyE/a0Hs9tP/u34Wzd9kShlcHKAmDSPqTJzY+//zTj/hJp0XJRFq35CKtXTKR1i25+CQn64qi/G9i/6oC+CWAuhDib72/Q7wdkkLWb9qFYVITN1CbTIDBYHon+d69ydzpMjvK82OHQyILQhAxnidtz2bnO39zBJjn0RQ+boonhAgn7pQDbVkCqkrTfFWNpN78PABkDjbvdc5Knj8k2OwtLlEWgkgCZ3GzTNm2VZTLHvJ5C6YpkM3ShHbebjgQRZoBUS49X6d63ZNmdgBNO4NAmZrgssQ2Loe9yX45rxjEryP/c6Uyu/IwnaMdfw4Al2TthhFgbc2TkVHLEPP4a7Va/MFGP2OvhuGQdovjzSXfpyZCpRJgMJhWGzSbNH02TSK3TBjj5Oz01EAQCAhBe8y53Bjlsi8l58DiiD8Gx/zZtiqbSXt7jjROY8m4ZQX44osJgiCSptP1ofWNRkPD27cmcjlqRBUKAba33blGY75P73muWfwxo9G0AmKeg/nJiS4VMK2WJuPNqlUPhUIg78dq1cN332XR75P8fmfHRakUYDxWwLnlfL95Hh0TQHns3BQYDFT89rcW9vczMAwhTe7W1hzcvUvv5fj7IQ6OiAOmc9Ink+ie3N7WYRjA+bmDgwPSeX/xhQ1Fodx5gI5lPL7aMM62gZcvM1M/4zq+fWvCMAJ8/vlk6j1zfq7hxYsMDCMIPTQU2cjgZtF14Pc/fwav/eP/FzbVM6BUkI9R+30E+Tza/+AfyJ/5fnR+L16YOD838NVXYzx+/ONkpL8PpNOiZCKtW3KR1i6ZSOuWXHyMyfoSoTUoxv7ZA/D/AfCfv48D+32B616998pydICIULdLucW9HpWHI6E+//yy/JHJUDxaDYi+ZAO0P62qRGoePHAukT8m5Ken+hSJ5dculz2YJhHH83NiVuMxZTdXKrTzytNf2gum/3322QT9fiR1BnBlNNn7AJ/LxQVlNscz4XlvWteBe/ccSSxnVQurq0RwaN+cTAH7fY6ruhzLxTVgN/9cLiL+o5GKZ88suZsLEFGfJbWZzLRh3Dyw8drsSgKRowDr69O7uZwvP0vMbZv227vd6aZDJkNS8N3daZOrdpsczc/Po5Ne5IAOEAkfDMhF3PeJuLHZYVxBoapEunVdyMaOYQg5nfb9KHJtNFLD6SxdJyZ4iiLQ6dC0ejDQsL5OJo2VygCDgQbXJRJH5HH+7nK3S9J1XsXIZAKMRkRex2NqRL18aSGXowlsEKjSs2A0UpHJkOnh0ZGBXk+DrgfIZOg9+9f/en/hXnG8kaFpkRw9rkDg45mtLUDxapMJucdns5Q7r+sCf/iHI2ga5JqM5ylhkoMGRbHwxRdj5HIiNJbjdZlI/cARY5pG74WjIwMHBybGYwXHx0RyNzcd/OxnY9i2ivV1B9ns/IZfPBoSuBwRR/cWNa7Ywf7wUEOrpSOX0/H11zYGAxWNhhHeLy6aTT2ciPuo1aLnOjvTZcOD1icCfPFF9Jl5eGjg1SsL5bKHn/1sLP9uPFbw9KmFXk+HafrY3nZg2yoKBR+FwmXlwjzwecY/NwsFirFbs1/CXV+fenxQKMA4OwMQuedrGkKSruPrr0f44z8eXfu6nxqu+29dik8Tad2Si7R2yURat+TiY9Rumcn63xdC/MPrfvYxkNTJOpNDzlVXFJoW8sSuWvVlXvEseeOpue/TP2saEadeLzI9K5WIcMXBJJb3QuNSZ3Iu9jAa6SiVPBmNRHJiRX759TzaHxZCmdoj5y/psyZ3Qrx7JFgcrkvHHr9l+/3oWjIxL5V8rK9fXgeIX4e4wZmmiUuGZwAde7lMuul4B23WyMv3idh0u2y2FcViOU40QY8k74tdovmemFYw0O/mGfctIvBEcsmLgA0GGYWCj3xeSLPBODhSME46riLmjLMzHW/fmhiN6HxdV0Gh4MM06Xx9n/5/PI6m5ZYVSPJeq3lS2nx0ZMK26Xkozk2gXvekSqPXo8eNRkroyUCrHLmcL52/LcvC2poP153ufPI9Sk0xuneCgO5rTaOosvNzDeVygFxOhPe2P/V+KZV8fPedhfFYkwStWvWxu+tgdfWyuiCOuEN73DV9mem5bVPOeLdL74G1NQeep6Ja9aU0nYk2qSMETk8NGAZFntVqfmxSHkilBIAwLo52+dnQjsg+XRNWMghBzRHLEtjedqck8cBlL4150Y40Qabj4HUSdkX3feDePRX1eoDDQw9BAPn3w6EqGwgU3WZKp3xWsMw2NTwPePmSmhrb2w7q9UA619u2gmZTx3hMUWuVih8a/wXyuK4CN6WA6N4WgtZ/4oqn6n/2n0EdDhEUo7632u+jb1Tx5m/+/dDR3sLZmYFf/GKM+/eTM0mfRTotSibSuiUXae2SibRuycUnubOuKMqvhRC/vO5nHwNJIeuapoWTV0WSGM9TYNtqOOkVyGSmvzwDCGOkTElGASIKliUQBEJGQQGQu+cRIY+mpr5Pk59CwYdhEAmdna6zRFlVIXewFYWmr4xy2cfGhitJBO/CM/gL801jwdjVO+6wHgdNqClzulSaJqscBbcIcdk67ajq8pozFq0AANPO1GwoNhiQqoDjnExToFDwIQRNrONEd540HIjc3ue52XON45hnNEfO8iS5VpTL17BUIpI9G9nFmF2XIBXF5deexWCg4s0bQzZmBgMNlYqHnR0ybOt2ae2ClSEA7e5ns2LKGLDTIUMzzyMJNEvVNzZcuK4qpc2eR+dmGEI6rmcyROBtmyb2QtAKAa9UcN1sO5DkcTxWcHhoyDWNYtGH61LaAKlZ6H1oWUISRG5SnZ3RZHk4pOzvzz8fo1SKPB+uQtwPgiPWZqfnixQnzaaKZ88y8Dy6t9i0TtMgPzPYyNFxVBn3ls9TE2Nnh4zvOIKM99BHIwUHB6Yk74UCJSxkswLFYhAqU+jzoFZz8eoVEem9PQcbG5EjfDyyDbic3x5Hv69Kws0+AaMROZwDwOefjyGEgl7PhBBArTaZWjlpNvWp5tWDBzYymbkvhdGI7lEi/y7GY0WubXQ6GnI5H2dnZKaXyQQwTQFVxbVS91mCbppC3l+L9uXNgwNU/9E/glcqISgU0G94mLRdOH/6N/DnrUe4uDDwB38wxL17y7vWf6pI9zCTibRuyUVau2QirVty8UntrCuK8t8D8CcA/vsA4oy4BOCJEOIvv9ejvAWSQtYzmQz293X4/kROKAuFaCLFO8Q8JQYQkg+B3d0oP5yNsuITXNeNG3QpKBZ9GVvGXxznxZh1u9GEk3edy2VfHotp0t7wVbuzs8ZY8xCP9uIv2rOSfSAi3a6LKWf46BouJ58nUzGSyc7G1cUdtq8Dm18FQQanp5TXnc/TQasqXZu4xH7etVhk2gfMbxB4XtT8iD8PqQaoOcONDcdR5OvymsNVKoZO53Iz5DqiyQ0Cbiz0+yoaDV3Ksms1D6ORhiDA1OS+UvEuyfptm6a2fK+SeR4d89mZKQ0Py2VfRvjRTrsmM+V5Ysnnwi7y8SYX59arqhXGBHryfWZZAvfuTdBqkXlYt6vBsoigVqvUwOl0dOg6ydo7HYpyy+UomqtQCC65sS9CXP7NRDxO9IDp/fA4vvvOkgqBQsGX6yRARIbbbQ3HxyQd0TQRuuMryOUC7Ow4GI2i5o5pBuj3adfeden+sSyBnR0H5XIgj8lxIFcjVlc9HB4actL885/bsuHTbkf333UGfWyWRrF/kaLk5ETHxYWBTMbH48dOqKpQYZoBajUT331notHw5PpINhssNXHmnHvHAVZW/KnP236f9sgbDSNc+fDCWL2rpe68wgEQQefouPFYnVJHXAV2gw/OOsjtFPBPrb+Fc30Tf+kvDbG3l3ySzkinRclEWrfkIq1dMpHWLbn4pCbriqL8HMAfAPg/Avjfx37VB/DPhBDt93qUt0BSyLphGKGBVCCnO55HpFRRiESWSuScns0KaYR2eqrj8NCAEERM2JitVCJXa3YFZ0fyRWDiOZnEHZ0jYmeaRE44P5i/fMYJPTAdr8XmX/GpLIBL/57JBFN52/FjmhcJdxNCzUQgPn3jHO3bTPjfvtXR6ehSZlyp+AgCHSsrATQtIgpxFcRNCTl7EjiOMuea8d4w/SJu6JfJRHLi60j2PGK+iMjPyu5ZVk8T0CBsENAu+XisTBFjyiL3puK7gEhKH7/HDYMIfrNJU+DRSAuN3wTu3CGX61ZLl0Z8hQJJu6tVf8odnVcrmDC32xrabU3ep9zUyGbp+YtFeu6LCw1HR2YYq0YEk68zn0u/r0JRaGqdy9Frl0rLRwTG3y/cjOPjBhZPz7tdFd98k0EQ0D3x6JGNlRUfFxfR50Ot5uP01JA77qpKBLPVoik6EWaBgwML47ESmr7R8+dy5Lqfz0cTZCbbphng5ITiHi0rkPFoAPDLX45RLAaXmnTLqQkUuRMfnzg/e2bCtjWsrrpYX/dwfq7DcWhq7jjkBZDLqXj82EGptJz7uRAkdT86oqbPxoaLSiVq7Ni2iuFQwWikylUSXu9Y1NyKE/T45x6rFEqlafn/VWCVQrns41/8ixy6XR2/+lUfu7sfzrvjY8EId4/SfcxkIa1bcpHWLplI65ZcfKjavasMXhdCfJKt/6SQdcuy8OaNDs+bwDAgp1u8WxpNJYXc6S2VfKyuenj8eHLjCLPhkPZ+mYBx/FrcNZn3gxUl2qFuNDTplk5ZzNGX8llieZOcc5Zbx3ETp3M6J5pUjsfT8vGVlct7qteBGwWOQ1+kuRaWRTvS1WpELtbXdXge0Gx6l6bdQDRpW3S8fK7xt1k2S/utJGOne4FrVS5HMV3L7Ip3u9qUEzk9x2USsiiWrdtV4TjRDUZ727TLm8kI2SQwDGBtzZ0im7MqCPID0MNddSHz4Pt9DZ0OTeh3dsgNvVSiuK1mU8N4rMrpOU+bXRdyugwQ4SNSZk1N8UslH0IIGclGNfTR7+fgecA331B0m6IA6+seNE3ANOk9YVlEdinFgK53teovTcKAqDEBUAPM95Wpus9zfh+PFZydaTg8pIPO5QJ8/fUYhhE1JVSVGjTDIcW9CQFkMmR4xjXTtCh/HqDH37njynuy2Zz2PuD/L5X82H1PpP/0lGT+29su7t93pqTt81Z0FqHZJNVP/G8cB3j6NAsAePhwgqMjDScnplwT6fc17O05qNXoM8oKizmZLCbrjkOmeXQeKra3XTx44EBRIld116V/Ho/JF4RUR3QvzWsGxpsS8caK6ypoNunnKyuXvQTmIQgQmnGSseG/+BcFdDoa/vJfHmJn55P8z+l7wTK1S/HpIa1bcpHWLplI65ZcfKja3Xay/jsAi5iCEEL8/D0d362RFLJumiZ+/WsT3S5dTs7prlbpf4OBKifulrX8F2OAvki+fh0Rc36O3V0XpinkJJeikaJ85kLBx2ikyZgpAJIsXWWQdRXiBDWOZfagGbMGVbwakMsF8n+L9svnYTZDvdHQcXysQdcBw6CGQaXiYzhUZf50HIZB0VuWdVnuwmZ9cTAxz2aD0AiQXpjjznhKzVFxwHKkHLisdABwSZZ9lWN8JuPjzRtL/oxjyfJ5kknzR8HGhouHD50pQtPrXX5tTSMjMt77Ho812eige0GBotCUvF735T51p0Nsp1ikn7NiYDSiKDc+D9pfjq6vqlK+uetGpIqbPqMRHV+7reHXv86iWFRDYkpTap7Qt9tRfrllBdjY8C4ZoF2HuLlgqeRLwziAzNBmzQPZ26HV0tBoUHOgVvPw8KEjn8/zFGnMSFN+LVxzARyHPh9YwVEsBtA0ajDk8wH29qJa8V646wKKEpkbrqxQfODJCXkE5HKUinB8rIfu+ZE6Ypns+Tj4PQZgyh+h2VTx6pWJszMTe3tOeFwK7twhIz6avItLe+JmaJ/vOJGaxfej5s1goIYeA6TW4B15OncNvR75GnB8Wi5Hn6nzpO7jsSLv/dmmBF9LXRcyCu86MLGne8/Df/PfFNBua/jVr4bY3v7pknTGvNql+PSR1i25SGuXTKR1Sy4+VO1uS9b35v0YwC6Af18I8Sfv7xBvhySRdSAq7GzO9SITsjhYrjweK2i19HACT6ZT29suLEtc+nJNxE2TX+5pFzjaG7+NVHze8TOuMmqbBU2ro/1svg3HYxXZbCB/NuusfBU4qowhBHB0RHvSvOtdqXjY2vIuSfMXNRQ0zUSrpWEymZa78MqAYdBuddwxv9PRp2Li+PGVynJTOWA6MYARJ+ZMMmbBMl/XVfDqlSlXKHj/fHWVpstk2qZjY4N2sVmqvMgzgJUUg4Ea+itEqwKGIaRJ19u3BiYTquHGhgfXhTSR0zSBlRVvare/06GYPU444OtjmgFWVsihm+XHLIPPZGgd5PTUQLOp4vzcgOMoMgLsD/9wjFyOpprDoYtej5okqgrs7Dg3avYAkYM8N0BMM5DeEvOm57x2IgRwfGxgPFZRLvuo1Txsbnphfem93OnQ+5Pi61R4nhqaKdL6QRDQ7jU18SJX+lotavCww/xgoEJVaVLP6yzDoSrfA4pC8WgnJwaCgHbc9/boM+k2qQ2s6oivzhwcmHj2zMJopKBQCLC768gmGE3RqfEw6zUQh2mSwdzJSTBlfAlwAoaQ6gwhKImAGhp07qpK90ax6GNz07t0XvH3zrzmaKNBapr4jv11YJNCMgsV+M1vMmi1yDhud/enT9IZ6RfQZCKtW3KR1i6ZSOuWXHxSZH3qQYryBwD+RwD+PoB9AP+5EOI/eq9HeQskhaxbloVeT0W360rjuHp9elITN2JzHEWavtk2ZKQb75nXar7cV58FT6Y9T0G3q8qoL84HX3ZaBizeK59nWLcIszFnDE0jaT5P+28yZZ4Xv8ZRdq0WyWJZqbCx4eLOHReahrlRZfy3LDWeRSZjolz2cX7uT/1+MqEv/LyTH51XtBO7LHhqHX9+NtxjVUQcPBVmkjEcqri40KWB2WRCZG9jIzrfSsULDfzouXRdQNdx6blnj384VPD6dTSNz+UCqQoBiNzv71OEFmVlO2g2dXnPFgo+tra80MldkTvmQUD3ZyZDxMuyxFTMV3xnmKbNAhcXOgYDajpQA4aI4sqKJ30KXFfByYkB0zTC8x5hdfXmjp3xPfkgoH/nxta86XmrFU3H9/dNlErUDNredlCp0GMHAxWnp7p8b5Nk38PbtyZ6PZoU0+cCudFns/Q+48ZYPh81wzj+rNulVIJi0ZfHNZkoOD3Vw/1qBRsbLlRV4NUrquP2touVFX+p/PBZxN3fVVWEUm/6+evXJlZWPHzxhQ1dp/PVNFrtIONEBbWat/D9zQoD/g9hsUg54xcXBjodVSo0cjkRqjA0tNtqbIde4O1bE/k8mdHF34PjcaTSyGQuG8p5HqQz/qwHw1UYDOhezGQEhBB4+jSDVkvHV1/ZshHy+4RU2plMpHVLLtLaJRNp3ZKLT00G/xjA/zD8XwPkCP+/FULMm7h/FCSFrBuGgYsLFY5DXxDj+99MrLPZIIy9ImkoE7FlZN+DgYpmU8NgQC7upVKAZV2KGfP2ynnXfdnp+7znAIgk6/r0xJGvAf9uEeIO6UzIh0M1jK/jfW9gNCLTqt1dd8oFmnEVIWejNM6fn570m2Hc3rR3wLLu9LOYJebkGeBjPNYuNUWA6YknS+ltW8Hbt6Z0RHddMrzK5ykajZ3YDYMMtvp9kg3P5rvPqgmYAMZ3xTOZy8QnCIDnzy2ZSFCreWg0jPBaknO65ylyCszPOxqpoWmcFzZPIlLE5DgI6By5vrR3rcK2AdMk9cZkoqJa9WQT4M0bU17PSsXH9rZ7KwOQOBEdDNRwSjtfFh5fSRiPSaXA9/HDhzZMk+pycGDGdsoFdJ2aLBxX57o03a5UPAyHROILhUD6Msw29s7PNVxcGFL+zxN2vsZ0X9Bedi4XhA781Aj4wz8c3dj/In6+33yTlZnyioKwueDh4IDI9Rdf2Oh0qInGe//xbPRZtFra1PoO3w+GYWA0UtBoUBRlreZhZYV+12joMj6vWPRRq1Ez4+yM5Px37kQEOd7wmUfQ+fj6/cXHuPh6kNdCPk9y+5cvqeHy6NEk0Tnp74rUNCmZSOuWXKS1SybSuiUXn5TBnKIoAYB/DuB/JoR4Ef7slRDi/ns9undAUsh6JpMJo6umC+v7RBDYUAyYJjBX4eQkcobO5QLUat5Su+6L3Mtvslfe70/LzRmzLtGzOezX7cKSMZ4B142eu98ngkfZ7ySTzucD2RRgR+dKxZfu4/NIL0/y42ZuDM+jL98cExXH6qqBbFbcKqIhfp0UhST+QohL0V98bPHX5h3dXk8LZfiKlIEbhsDOjitJPDc8WHFAUVl0joWCj1IpkJFojLi0m93gVZVI/traZQVCEAAvXlhwXZJmU1yYgvFYhaoG2NqK/kZRAEUJcHZmhudHhHMe4X371pR/k836ODkxkM3SDn0QAOVyEOaKU/OJ5O6qVATkcrSzPXu8y0ZrMMllFUm97oUZ7NNu3/HJLECmaZwjbxgBarUglJZTQkG7TVFp6+uOlEHTXr8CzyNZ/MqKh/GY9rjJLA7SLDAe63Z+ruH83AgN2UhKzw2lZlPHyYkeyulpum5ZAfb3M8jlfDx6NJGT/Zvg8NCQxoBMvr/+eoxw6I2jI1060e/uutKArVbz0O2SWmZWRh6PfGM39tmmGjUvMxgOVWQyY6yueuHajR6u9NA5lss+Tk6osVSrUZ48MJ2Dvsh9H4A038vlbtZ0ozx7BaVSgHZbxfGxjm7XwJ07Ezx+/PtL0hlpHFEykdYtuUhrl0ykdUsuPrXotj8F8D8A8EcA/r8A/lMA/zchxL33enTvgKSQdU3TMBop8P0o05hktdfnlDOGQxWHh4aUfq+vu1eaHi3aPb7JXvksQWHE5cpxzJrDzc8eJ7l/vz/tYu44FPW1uRnJZDsdDYWCL+XajkOy535fQ7XqQ9NmSS8ROo6VA6b34ft9kmrPNiWukq5rIWPy/atVCkzMefodBAryeZKyx03n5hGD8Zgm5WxI1+1GzLNYDKRLNhD5DLAcnI4taoqUSh42NqbVCrNrA8MhHSs3CKrV+asH7L4+mShoNmkn2DRJebCz4yCbFXJa3+tRBjsfU6nkY3c3ak6x03Z8am9ZPiYTmvxzs6BQoN132vcXGAyoWUGEneT/29vutfvVV9WNJc+DARmQ1Wp0j8XXRChqMa4wIBf2oyPav+emBkDEz3Gi98rKiofVVdpRDwKSxTuOikwmwNYWXRM2pYsnA8Q9Cc7O4hN0H5ub0bXsdDScnNDvVRVy8nx8rIcu8gKPHy8vz2q3VZycmPLfXReSxNZq3lQz8dkzE5OJivV1D9lsIA3YSqVA3oMrKy50/XKE4KLIN1ZVjEZKGM2nYHXVR6NBDZ3xWEW1ShJ48oQgo76VFbrX48aWVymRuDEDTO/8LwPaY1dQqXi4uNDRaGjodjVsbHj4/PNUxshY9vMyxaeFtG7JRVq7ZCKtW3LxoWr3rtFteQB/BySH/+sA/mMA/0gI8U/e61HeAkkh65lMBq2WCt+3lybKgwF9AWXCkM2SWVP8izOwOJLrJnnlrqvIKf30cc+XjjLiMlOAdnDZcI1BsmaaXCqKkPJmyxJThEvThCST/T5LxQWU8AQMQ0hJOEVzqdLki68DQETMdZW5ZO4mZnXRNbjcQev31XAvO3r9QiEi5tXqfGm/EMDBgSH3uQFI9/Ncjq6drtN5sseA70+72TM0TcgppaZNKxbiJElROFObIsuEWNxsAahev/lNFv0+EdO1NReZDBGtJ09sqGo00eW1BM+jxsTqKsWetdua9AwYjeg+zmZp4tto6JLUssTbssgwzjDoHjg708NGTYBSiXbRb5KQAFyum+tGEn9uzsQz1OPeCmxGWCz62N834fvUoNjYcMOs+Kj2nY6KUinA2po35Wq+v0911jRgb2+CbFbIHXjTFLI+rAoRAnLPnM0f2YwOoM+DkxNdNgtWV+n3luXj4CADRRHY2XFQrV59nWwbePUqM/WzYtHD7q4nTe8MY1p67zjADz/Q3zx44GA0UuXk3PNIMcLNlGXIOYPi+QyMxwpMM0AuR+/tXi+PZlOHro+kU327Tff0cKgilxPIZHwZOTjPQyAOznxX1cWxbfPA5nWAgnrdxeGhKZ3oazUfX3xh33qt4KeKdFqUTKR1Sy7S2iUTad2Si09qsj73wYpSBZnM/QMhxH/3PR3frZEUsr5MF6bXowkSR2/lckSo4k7T7BAex03yyllaHd+XZln1MsS+3ycjM9smp+pMJpASdXJCV2DbiiSCROb0KYm3EDRBbDY19HrRsWgamWr1ehryeV9mX887JiHoueedMxOx9/ElOgiA4+MMBgMVvh+RgXyednUXNV54cstRbXzMtq2gVPLgulFMWqXiwbLYbC96PEPXIzM/buAARPiqVX/uPVEs+lOKCH5sHOyX4DhK6Lyt4+jIRLer4d69CcrlAA8f2rCsyDeAZfjNpo5KxQtz4pWpCSXfB7ouMBopODw0ZQ01TeDBg2mpMD1OxfGxAddVUC772NjwbhQdNg+aRuf26hWRPI7fik/POx01dEbn6EIvNIizUKn4mEyUcKKtyEm4ZQlYViDPuV6PGjPHx7pUs+zuTlAqCRn/BdD7zPOI+K+uevA8BY2GJptZKyse1tej45tMKJbx7VsyiqvXfRl7dnhooN3WYZrBwskurS6Q+R8/p64HePgwWhtg2T6AqeYFX5+jI6rfgwcTaXRXr5NhXLdLHhmsBljWUZ4j+sZjRaozVBVoNGh1YHWVTAMBXx4bABnXZlni0prCPHQ6GmybFA2VyvIdcM5pByhW7sULC6MRHW8+L/DVV+OUpC9AOi1KJtK6JRdp7ZKJtG7JxSc5Wf+UkRSyPq8LEzcaY/lzNksRa7lcIJ3h42CH8Oswz8Wd3awXOaLzY7pd2uXk6WI0oRXI54U0rmLpKd8+wyE5sPNutG0rGI1UKS/nvWg2l9vYoCngq1emfA3DwNQk3zDEpf1yxrLZ5MuACS/LwxmqCty/r6Bcnr+zzhFQLIGONx4oZgvodqfN2sj8bzr6izFvIh+fkguBS7XjeyK+D8xTeX7sPI8B36eJ4/ffZwAoWFnxsLfnYGvLuxQLFwQCtq3JiDq+h1SVJrDsg3B6Sg0KbrJkswE++2wCTYsUBOMxGbeNRiT9tyxqRuztOUt7JlyF4VDB/r4F0zRhGAIbGwMYhkC7rYcpC9MrBltbLrpdFU+fZuD7NFXe3XXQ6eihIzsR87hiJD4xbjY1aSC3sUGrKdys4cx0fh9WKhSpx6ZmJKum3XWuu+8Dv/tdBp2OhtFIxeamh729CWq1AI4DPH2ahaIIbG05qNejNzi7sfP6B+P+fRuZ6UE6gIgwKwou5ZzzPjrL4MkkToQZ4tHkv1q9WdwbkWdaZzFNks5TkgEZCtbrHNWXDRtJtsxwLxZ9rK971ypj4tPwctlb6vOSwRnp/P754YdM6PAfQNNUfP55tLOfYj7SaVEykdYtuUhrl0ykdUsuPvnJ+qeGpJB1TdPQ7aoYDqP9ZZYxdzq6lHgDRHJMc3EGcRy8H82SY8aiaftkEk0I+XFxtNvR5Ip2R4mUxF+DDcmYSPNUMp+nSRdPvdn5m8zbdBSLRK6J2EZEdXPTlXLWWcy6l78LOIs6iiSLCCw7qM+T03LtRiN6n8R3xTm2zTQFVFXg6Cj6Jq8oJPPPZoOFBHseOFOcM+NLpYgYFgrBlMs2k0d26HZdRXoixGvLf+e6wNOnFvb3LZl7/atfDTEeR9P5ICBCrWm0L8736va2K5UEQgBv3xo4Pjakl4Bl0RRydZUcyhsNkpRzQyebDdBu6zJvPZu97DJ/W5yf61Lx4XkK7t51oOtamD5A16JcpmtOqg4yZeP3Qj7vY2Mj8kDQNCJr8fdL/N6g3XUzNMDzpIEcS7X5Gqkqnbfr0nGNx9SUKxSCqZWMIAD+/M9zssF1546DlRVfSrYPD3X5OfH4MaUSsAFcHHfvOtdOmxuNKH1i9jOG99E3N10IQesIuRwZ500mKlZXXayt3ayTLASk4aHnkZIimw3Q6Wjo9ch7Yn3dk8kFtq3AdfVQ+UGfD8tE71EsoA6eht9k8k0Z6Tp0PUCt5uPbb+k/xKoawPc1PHw4Ri53o9P+vUU6LUom0rolF2ntkom0bslFOlm/IZJC1jOZDJpNFWdnnjSToimrv7TB3KJYNI7oisfAzYJLbJpCTr7je8cApMFVXD7damloNjWUSoEk/jw11nWScOs67dpOu75Hsnpdj2KlOBc7Lkm9SWb7dYjHs8Wl/qMRTTFLpSgrfZaYzxrycVNC162QpFIHrVQiUvfiRTSuZCn55qY7RRKWbTYMBgoODqIs82rVQ6l0+fj4Gg8Gqoz4imOeeeBwqOBf/ascul0i3nfuTLC+7ofu9AqGQ002K4ZDUnuUyx7y+aiBFATAmzcmjo4MBAFN5EslcgE3TYF63UMQkO8BewlUKuS8T2SPct8rFf/Gxl6zYPJ3cmLIyTATPsuKXsuyLHge4HlR5N7r1xTDR0Zu09eK3dfjJmSWFa0PdLvkH2HbKnI5Ms/TdWoCsakiueRHx6ko9Hy+T6qRbDa6pqORgm+/zUg3+Hv3JsjlhGwqeB7w/feZcC1CXFJcbG05S7u888QYuJwhzvvoQQAUCh7GY3qhatULlQFKKI+/WdOM9tGjnHpNo88OVhysr9Nknnf1afWH1ldM00K5HCCbHV37OmRAR3L8m0RVAlFsWyYjkMv5UrVAyiEN9+9P3luz8PcF6bQomUjrllyktUsm0rolF+lk/YZIClnXNCK9puld+6WX5fFx0JROXNpnjjud8/RwERGKZ5wDLL2nfHLOKweIjDK54Zgo3qNnYt9uR87iAMJpqod2Ww93lolYxrPU19dvNu1aBJb4x5sMQCTzz2QC6crOv2fSzDL/2abHeKyEJDVqGrDLtq5rePXKxHhMBKrX06BpAnfvOpKYWdbVRnyzr9Xva3JqqyjUONjbm54yC0Eu4jzFZ8NAYHrCPg+vXxs4PDRDIzCBrS1qqsTryteKyW38eTnL/dUrE0LQ5LxQIINDXY+UAd2uiosLmq5T9JgIp+YCrkuvp2lXO3Qvgm1PJxH0etQIGAyijPVazZfXk5US/B7QNA2KIvD2rSpj89bWyMGcrkH0XmE1A/sg8L58r6eG8WUacjkfa2sUGxbPhPc8akCRSRoR0vg+OE/pAZLMHxyYGA5VWJbA+rqHTIaUGUw0f/ObDN68MaGqNCnnlZG45H1Z9Hp0TXhfP46zMw1Pn2ag6wKbmx5smxzYSyVf7qavri7nhREHy+sZvObDhn1bW5T2MBopePWKGlT1uod63UOzacAwBNbXqS5Xda0vLmiPn6PcbgK+LrlcAF0P8PJlBppGCotuV8fu7uRao74U85FOi5KJtG7JRVq7ZCKtW3KRTtZviKSQ9XldGJY5C4EwQopdwedLpJfdV2d4HnB2ZqDbJSLjukTmWSptWURGCwUyiDOMYK4c3XGIDFUqXkh2pw3jGERWREjQlo+kmweOGmMzLv4ZEEn8dX1+ZjzL+Jlw8N8ARJ5YnhxvdGQyJAlmozU2zxICsCwTu7suVNW+MuJtHmal9+MxxZ+xdJ4ni9xAmHW4v3NngkLh+prbtoLnzy20WhoaDfIG2NnxkM+TSSFNtKMs9riiQtMEgoCMAZtNDYMBTdpHIxX37jkhqY928F++tGSzwzQD6erPLvODgSpNC+OO4vMwGykXB9eHmxqlko9CgfK1nz+35N+wySGf62Cghg7uFhxHxe5uf25uOjDtB8BGcWwI127ryGZ9FIuBPI/4rrmq0pqArgu5204mgqp8Ptel987JCTngl0rT++mTCTAY6KGpHTVGHj2y8eTJ7aPAItk5UCpF58xNjaMjUiTU6xQHx1njQigYj9VbTaj5Wtq2IlMdHEcJ73cFGxuujF179Ypi7ExT4OFDUj2cnZHqZn3dDVVH87vW7B4PkJpjNhljuWNUUSz68H3g4IA8E/J5H82mga0t58o4zBTXI50WJRNp3ZKLtHbJRFq35CKdrN8QSSHrmqbh4MBAv0//LgRNG/mL9E2JOMN1iTwHAf1zp6Oj21Vl1BTHIRWLfmjypcEwyORslnDyVLXR0HB+bkgZL7uRA9NxcLOT+mXcmeOYN+WO34q12rRcd5aYBwGR1NnrRo0H+gLebuuXyD4/L01HNbx6ZcHzFPl7ysj2pKP8sh20+H5z1AQQAARsm1z+HYemeUxEmaAXi0Tel70PhCATsKdPLVxcGNJfoFwOsLrq4rPPph3XOTN8MiHCVqvROsZ4rMJxANOka1ku+yiVAmmwpSjA27c6ut2ozvEdejaHi5Pe1dVpBcUiNQPXqlKJSFe7TY0Gx6Hd7Xzex2ikARCykaSqAg8eTKaMvhoNDW/e0MQ6kxG4c8dBoUBS/dm6DYfRfcTu5WzAxwZ6uVwgyTu7pQuB0BFclU2bSoVIX69HDZli0ZcEtdHQ0O+TV8PKCsV+jcfkTJ7Pi/BcAriuClXFO8eAxeX4q6seBoPp/fmjIwOWJbC66iAI6JpWq1S7WWK/LOIKA/ajYNVNJhPgzh3Khqcmkh6qBSZyV5/y6WkXPi7zn33PcZNE1xG6xN8MzaYG16X1jtFIwdGRhUKBmj+npwbW1ymSL8W7I50WJRNp3ZKLtHbJRFq35CKdrN8QSSHrt+3CsBR4lnACtPN6fGygWAzg+9Eec3y/vFyOiFB8X73fJ9LBGej8vELQ1HpjY35sVjxXXVVxbbzWdYR8UdTTaKRIc7NeT4XrMsmJiC4ZpBGhmrc6EG8s+D7w+rWFblcJyR+hWvVlPNkizKsdk5I4mLiOxxRXxt4BvA+uqlSP+F78svL5bldDp6Pi9NTA4aGB8Zik4CsrHra3yfF6lsSMRuSKDhDBZcVDJiPCpoIAoEiyXK360HWBZlOX5nB0jD6KRaqRokBGCTKBAsjl3HEUmW7Aj2WwUeEs4g0OVoAYhkAQQB5vpUKkePY+efnSxPEx3dylko+7d92paxmv22QSEVmW5HMMnudFTZR4/jxHKfLknxUdGxuebH7QtaXXY5WAbSs4OaH3pWVRnrqqAj/72RjFIpm1ff99Rka1xbPUbwN2jR8OaQUg3lTRNCH3sLe3HTiOCk2jpkKnQ8e/uureWOrObvcANQSHQw3n5xpME1hbIyNCTpIYjVRUqwHW1iI/BzJs1FCtenPf/1y7o6No8l8q3VyW3mjo8Dxq0HU6Gk5PDZTLPgoFD2/fWqjVXGkOmOL9IJ0WJRNp3ZKLtHbJRFq35CKdrN8QSSHrejg28rzpL4YshWfMknLLIvfq8VjB6amO42MDgwGRV8sKsLNDz2cYAarVQMrTiYRflhfzXi87t8cnqPPAkmmWj8/bPb5KygwsJmqM0UjB2Zkhd7PpvKPXif8958TPXqtCgZy12WCOiVano0IIBZoGbG87qFb9G3/pDwI9dDGPaqfr5OrPhJyvQRAosKwAe3uuVAVwpJqiRGR30fWenc6fnOhhTjkZjK2uUjQYExw2ReM6DYfU5GDVwZ07JCvudjWZZ86GfizdbjZ1OA4keTMMuje4yRPf7e71VBwemtLdPX4vcA2uQ6OhhTJ8BfTZo0ifg81NL3zuy02MyUTBr3+dldd8d9fB3bvuwtdRVXKI9zxPrhzE4wZtW0EmI6DrkVyfSWirpWM0ot/X6xGhZvLX75Ok3fOAb7/NhkZ2ZMRWqfghCUVoZEfX5Pxcx9kZTZc/+8y+ZBh3E4zHCl6+tEKTQV82a5gMdzpUJ8Ogn3ueimzWD/9WndqRv+nrdrsaNI3eAycnOkYjDfm8j7U1T9ZmMqHXsKxA+iwA1Ozrdml3fZFxG3lSZMJp/+TGcX7xNYB63UOjoePiwkC1Sk2EgwNLRgWmeP9Y9N+6FJ820rolF2ntkom0bsnFh6pdStY/MizLQrutYjAgcsFkjUkzAGni1u1qmEyIYBExFaHjti9jjAxDTE0LZ8FT3F5v2oiN93qvAhNGlsEzmZ/NbY+DHemvwmhEGc1xpQBdmwCbm5eN92YbGXxetZoH348m2zxVHI0UOA5FnXEsVr1+M4Ms1yVHc4bnKXAcC5VKANeNvtzTtfTR70fnwmQprj4gmfdl0z82yZu9nr2eFk6YaYc8n6d4s7g8ulwm0snNkcGATNA0LYqe488PVk3wvjfHlvHf2bYq99N5f951lanj5XjAIFBQKPjY21tMkOddz5MTXUaMkcTcDw3Z1DD6LJia2EfXnkjXy5ekDtA04Be/GF4bodVskteBZZlYW/PRbrsy4i5+TrVapDrhrPR+n4hkrUYGdgBNgft9ypAfjTS5AmLb5APxs5+NsbHho9dTZU47E+H4FL1WIxXEbdDtUq1YaZPJ0L73bNOH89GLxQCZTADOGu/1NAhxO1d3fn2S8JNx4MuXFkxTIJv1UavR85GDugpAQak0nYfuOPTez2aDqSSIOLgRoCjA7i79/2Sy/O4+rysAClZXXRwf62i3DayuuiiXA7x4QdL3+/dTkv4hYYUypZvULsXHR1q35CKtXTKR1i25+FC1S8n6R4ZhGCH5EJIEswSdJnVEOE1ToFAI5EQ9mw1kjjkwLSFnCTV/YR+NFEke40R7GbLa7Wro9ylr2LJodxqImgoUj+VdOw1keT1Ak8vBgBy5+Xjrde9StnMQRBFP/FpCUGNB08SUI7jj8Bd6MkVTFJrwsnz5Jq7QTMw58s73lSnHdYCmh2trtF7guu5Ug4RdvuPTfmBafcBEdzZOjyX87baGszMjfH2aarPjuGWJ8HxVGAYkyVIUinobj+k4CgU/JLwC5+cGHEeRO9XlsoduV5fXudPRkc97eP3aQi4XIJMRcj2Cwc0FJmgApkzRFoFXEfic+Xqur5PR3fm5Hkbh0WQ/njMORHv1w6GKoyMDqkrHsswuN++cAyR5dl0Ftm2F12sC11XlPcUT3U6HstLJbDHAxoYnz3N/38Dz55aMactmaX2gWvUwGtHOP8WmRVn0cfLfaBD5V1Xg0SN7ar/+OrAzfXw1xXUBXcfcbHQAePHCDFcjaJUBgPQSAG7n6s7n4XkKisUAFxfkZC8EsLfnSC8MVY1UGXGpO0D33NmZISf889DtahiPScXARN4IL6TrXt8Yoqg9Mp1bX/fw5o2JblfDxoaLSsXD999nYVkBPv88/UL0Y+AmtUvx6SCtW3KR1i6ZSOuWXHyo2qVk/SPDNE28eaNjMnExGNC35uFQldFPpZIv85UZRFbmkySSPUfSc0WhCfW8L/Jx8LTa86YzxUslIoi8470ItEOuyVxxBhPzfD46h3nHM8+9nY99dufc8+jxxWIgXdKZWF4n35+F6ypy11tViUQwaYzvvs+D41gYDjW4riNfP37t2fm+37+8Nw9EqgM25Ov1VPR6tJ/NhnJsABgEAq0WfQiwXL1YpEk6RYvRa25tuSiVfLx9a8rrWSzSPeQ4pDIYjTQZn8ZT30qFjuXhw8nc8403IxYZBs42VwCairJ8HaDaCAFp3qdpAqur3pQ7PDc5eIWg1dJRLtPkd5npZ/xYKdFAyAl+NhtAUei1fX8iHb5pb1nHeEyGf5ubLi4udJgmndfr1yaCgKLSnjxxMB6rsG2g16MEhHyedqcvLnS5CsBrFUEAPHtGLvWlkrf0LnTcnwGImmxE2uleqNW8ueoMntqvrtJrmaYI1x3ISPI6N/55iCbUdO9++62FN29MrK56ePDAkS7sRLIXu8fPOrzHEUnVL0/h6Tyou+E4i+8Dzo7nqL39fRODgYbd3QnK5QDffJOFpol3Nu5LcTMsU7sUnx7SuiUXae2SibRuycWHql1K1j8yTNPEb39rotejqaui0AS9Xr/8RXUexuPpzOl4fFkc8anmbFk5Jo531RftTsenwfN+Py/ibZaYM6FjmTdPyzmTeha5HJH1IAAchxzuNS2acsd3f6+C4yi4uNDkpI/3xDVNYHvbXXryzjvvAFCpkKN8u02EyLbpHPja87nN7mwzmeTGyGCghkZZPoRQQndxDeWyJ2XtxSKtOrTbupTKA7TSsL7uYTCgabDrAoMBxempalRr0xSh6zyZmnGsWXzvfBZMnPjvp3eMFdlcYrDKgo8RiKLvej0Fh4csWxd48MCR9fa8aQXC6akGXacbrFZbzmgtCMh9nI81kwnk+yKTCWAYEWFfXyf38KOjAOMxmb6dnhqoVMiQr1SidQFFEVAUutcfP7bR7dIOf7Opo1bzYFmUUc73hKIQOeb3Rrut4u1b+uB+9MhG6Duy8FrHY/Pi145BKhtNNjhmMRqpePmScthXV91wPYHeP56nSJfzmyJumpjL+fin/7QIgK7J55878j6PSPZ8Sf0ih3eACTb9cGXl8u8ZV/2HcDJR0G7rYXa8h2fPTEwmKvb2HJRKAb79NgPfV/DVV+OUpH8EpF9Ak4m0bslFWrtkIq1bcpGS9RsiKWTdMAwEAeD710smZr/Qz07N4yZks4hHYc1O3+Py7LjL/Kz8PP4c/Lg4Zh3M41FYZLpG0/dy2b8kvS2XiTTGM9S7XYrrYnO8uIv7PDhONFHluDp+LJFN70ZZ6Aw2ggNoYtrtamHUnY58PoBhOOH5z1cwxHfsOx0VrqsAoKmyaYqp/ftKhZy6aS83Iv+eB5kp3u/TNXz92pI76KoaoFKh52OylMkImeNNz+2hWr1+JYBzsXlfnPfS48hkoslxfBcfiHbMz850ScCyWR/37rnyPoiTc00jYsuNno0NB/X6cqSS99BVlZoiEUEnVQIT+Gw2gKoK/PBDBo5jhLvaLgAFa2sufv5zG72ehlZLk0Zr9+45Mu6w1aJrbxhEyOMrDrNKg2fPLEwmpFbY3Z3/vo4rSa5bTSHzOgX5vH/JxJF+TysTuh7df+WyH6453C53HIhc/V1XQbut4tUrC5Yl8G/9W315nESQr5bUX+XwPhioMpN+mei1eRKz0UhBr6fLSf7TpxZcV8GDBw5yuQDPnlkYj1V89tn4yoZJig+LVNqZTKR1Sy7S2iUTad2Si1QGf0MkhaxfZUbAU3Mml0EQTfsATBFqei4iavPIaHwPu9fTUCj40HVcIuVM9uLPMUvMhSAyxMQ8LltWFDruwUBDLjdNDNkEjqda8X1i3jmPG9LNM2DjqXT8+FyXfsY79ZwBf510fxG4mTGZqHJnnEkI7ap7YWTY5drNOuC7LsV/sQu/pgmpBODM6d1dF74PHB4aYe46GbkpioAQinxd31fQ6ZD8fzhUsbPjyJ3nQoEIY7ut4viYfqhpAhsb3kLjrjhGIwUXFzoGA20qL32eJwFnaPN9w5Jv9ldoNnVJPskJnJQAfK+xMuKHHzLyOe7dc5Y2OIvfN/l8IE3i4tnup6caGg0DmiZkLYKArocQGdTrPixrjOGQyCg7kdfrPmxbgecp6PVI8aDrkISXGzcssWawyzoAPHhgT5ndze6a8zWbR7wZLOUGsJBsHx6Sp0Eu5yOfpwi+XI6i5zQNc6fvy6DT0XBxoUNRBI6P6Z7Y2XHxs59FUSTsW2AYYqGk/iqHd843z+VulsIQ/7ykZoIWNo58Kf1nFcOrVyb6fQ0PHkxupShI8X6RmiYlE2ndkou0dslEWrfkIjWYuyGSQtbZ5t91PTSbGoZDTZKPTCaY+pJ51a56HDxhj5u6mSYRGUWJpthX/W0c8Yk5EyUhKKaKosfE1MR6Vr4LEOGPR48xuc7lAtkkYFI5b2ofB2dtMwxjWqJ9UzAxarWIUI3HKizLh2XRtarX519zXSeVw+np9M85r/742ICuC5TLURye71Mzo1SiPOtWS4Oq0jXe2HABCGgaZMweX+Nul7KyV1ejGloWSdufP89ItUWp5GNn5/IucBzcUHAcRcrpM5kAKyuXTf4YnD3O57ey4k2R0GZTl0Z+5bIvp628alCr+RiPgf39jPz548fLx5TFJ7iZDCUeAJQT32zqmEzonmGvB84pr1R8tFoa2m0dhkHmfNmsFvoE0O61ZQXy74ZDMpXTdUiviPhrz+a6s4FboRDg3j1SWMz6L/BqyjJGbix1v2rSzJPjUsmDZdH1oDURimG7zp9iHoIAeP7cguMo0PUArRb5IDx8OJHu99ykCQKgVJrvWwBQ463R0JHLTTu8z+683zR6DaD3XL+votul18/lAnz3XRYA8OTJGLpOTYx2W8edO5PQ7C/Fp4A0jiiZSOuWXKS1SybSuiUXaXTbDZEUsp7JZLC/r6Pd9lCreSgUgmunQCzxnpWpEwkjUkKkafEXamA+MWfS7Lq0T81Ta0ahEJGVSmX+F+64RJjIrwLPU8OdbHqMrgfw/fmLoywnn0fa46T+puBzAuiaRcdJmd71Ok39r3KPjx+TaVrQNMBxbJyeGhiNgPNzE/k8TQu3tlzpJu84gGHQc9MOPu07r615Uibv+0TWHIcmkqZJ0XWWRRJ+nq6enOiSZANXu4qzygGIFBTtNhn+WdZifwLeAee/4fuy2yVDP264lMs+PI/c3VWVXiMeUcbO6qR2CPDwobP0vnB8D11RBE5OjHD9gPbKqWGkolbzoChKaDBIk97BQMX5ORnGaRqpRTSN7vlSiS6W59nwfQWTiSLXLPL5aOLN2el0/aN7rtdTcXBAz3HnjoPJJDqhWWf5ZXFxQeR40V6540AqEdiTolDwZW1vQ36p0RTdS4WCh/NzMtJ78sSWpJ+aOte7xy9yeI9Hr62tLW/+OItuV0UQ5FAo+BBijKdPs1AUgS+/JKO4kxPKTd/acqRxYIpPB5lwB8G27WsemeJTQlq35CKtXTKR1i25+FC1S8n6R4YWfvP1Y85SlKuuSbMxYFquHncrj5s/AUS+5n2ZXkTMeQraaulyWknHJaQM/So5eVz2zQ0DltlTJrsCy7os+WW3c8Z4rEgDMMbsDvyyiO+ux8F5452OhnZbCyXe/hS5nAWbh/F5sfS331fh+xr6fQ2W5WJtzUcuR1PtVouc3ScTVe7buy4k2a7VKOZrPCZDLMcR6HZ1Kd2v1/2pbPHhUMXhoSHl3GtrLlZXp4+XTOc0KZuPriFJ1Hn/mF5/vrIiLi/n6TkbAnL9HQfwPJqy87nNms+dneloNIgAlkqL97YXYX/fkJJyPhZdF/j8cxvVaoBeT8XbtwaEUFCreSiVqLkSBMDxsS4n7SsrtLtvmkJ6DgD0nvN9wHXJeC5OxkcjFb2eKqfhcfn5y5cmTk4MWJbA3p4TPpe4lQ8CsJzUvdcjeb0Q1IRQFCbpJFO/Kfll4jyZKNKIcDCgXf1yOcDeniMbVb0e3Q9XSd0Z5+c6gmDa4Z1d4S0reCflC3solEoBNE3B8+cZ6LqHx48nUFV67ZMTA2tr7lJmhCk+Dub9ty7Fp4+0bslFWrtkIq1bcvGhapeS9Y+MTCaDdltFvx+5Kl8nd4/nVs8jmvPIqmkKaJrAmzfmpS/3pRKRw1nzp3mIE7rhUEW7TcZOTCz52Pm45k1R5zmJLxMvt8zzAFETIp4zf3pqhMSBpqxxx3xujgSBIt3uhaDMcpYZex4RYnbXLpd9FAom6nUfjmPj2bOMdECnrG16fa5DqRSE5FxDt0v/4wi2SsXDzk5EuiYTBefnGno9OsBcLsDOjit3+YdDdcqUDoh2y+ONGsqZjp5jdjeY88sZnEnf7UYGc6oqQgl8ZFJXLF5+rsNDQzZbVlZoV/06DAYq3rwhUk4Rf7x7HuDuXVdG3ykKMBwq2N+35HHu7Diyft2uiv19ytBeWfGwukrXlCfGrktGfZw6UCiY0DSgWBxOOZkD0ysc3a6KdlvFmzf0ujs7Lu7ccZaW7i8C7/aT1H3+B/r5uY6zM11eA00TMAxcyh1fBlxPgHwSVFVgNFLkys3WlovVVU82zygKMLofrkK7rcG2VaysuLLZwMR9kSv8smi3yTeiVPIQBAr2900UiyY+/9yBbdtot1UcHlqoVr0bN4RS/PhIp0XJRFq35CKtXTKR1i25SCfrN0RSyPoyXRjeDWYyGHef5sk6Ez0imWqYIz3NyvN5H3fuXL3PHMdgEMl9FQXhXqwi5bbZbIC1Ne9Kye9wGO06M+JO4ssgvnu/7POw0ZrrKvA8YHU1Ig58WzNJ53x1QJlqkvD15vi0SsWXUulWS0Onw9NfH48eUT45E2Tew+/3VZydGeG0lia4pRLtN3Mjg93RBwNqwpgmOXiXy/6U3J0xa9w3C95HZxO0eL3j0XMc08cGcAzalVfhuvS47W13Ljl88cKUDu5bW87C/eDRCHj9+rINt2UFYe45TbQLhQCaRlNmSgNQcXJiwPMUZLMCDx5Ehh2eB3zzTRadjop8nq5nve5Lojkeq8hmo5xzvtZrax4Mg95znY7AcKjKaTU3JABqPghBjazHj99PBAfL6q9adWHTOMMIUKkEyGSCcO1gfu74PMx+XpRKPmxblc0iQIHjKNjY8FCvU057fMq/snK9L8ZgoIapBHRMrgs0m0b494uj15YBm89VKh5sW8GbNxZyOR8PHzrQNA2DgYrnz3UUi770CUjx6SOdFiUTad2Si7R2yURat+QinazfEEkh64u6MPHpuBD0Bdr3I2I+GtF01XGUKUkzm4+tr7vXGlpxzjfL19vt6Vg436cd1fjUPO7mPot5pDqXW25/VwiaAMblygx2Oo9j3j774aEhX79Q8LG5SWoBdrcfjxUpgReCyGy1SudTrXpyss67/6WSL/PJ2RyOlAQ02dzZIVJu2zYaDZrIBwHw+rUJ31fkPvXmpo9KxZeSfiZTTJLJUE7ANIOp1QDev16mucLybWBa5j4bk8aNnk6HpNAk71dRLpOb+2RCqoF5SosgAJ4+jTu4T7ueOw7w6pV1KebNNAPcvx81J/hadTqaXLFYXY0M61gxUSz62NrypKJACODZMxOnpwZUFfjsMxtraz66XWpyDAZE0DUNoM8uzmqProfvA61WAe22CsOwZdPDsgIYRoCXL+n9uLu7uPlwEyxLgjkTPJv1USgIZLMBxmPeE7/+vRx/HV5h0DS6nixnB6gWpVIgj4Wi066e8sdh27S6kcuRkR07si8bvXYV+L6oVn0MBgqOj80p4z7bBvb3y8hmBe7e7b3Ta6X48ZFOi5KJtG7JRVq7ZCKtW3Lxk5qsK4ryfwfwtwGcCyG+Cn/2fwLwdwAEAM4B/E+EEMcK5ZT9hwD+BMAo/Pmvr3uNpJD1eBcmPvUEaM+ZpdCuS9PCUokmkdlsEBJhf+G0jfeYZ8kTQMTa89iUi0iMEJgiE/NIMoONxuK46vEMbhAA07Fz3GTwfVwi4fPIqmUJ6LrA8bEhCf7u7gSlUvSkjYaK83NTRsrxDny84cBRXLathJJbH+22jkrFk9fF80hNwJNoPp7h0MBgoOLZsygbfjhU8fXXtpQqM0nkPPB2W0WjYcg8dd53LpX8pdYQ4ojL3LPZuHw7kj3zpNrzlNBbgK5/sUiGZKMR7RSTLPzyvWTb5DavqtRQePhwAsehSbmqiql7S9eJlM8jpL2eKtcmymUiiqurXih/12S0XbXqT53LZKLg4kLDwYGFICBDtzt3XNmsGQ5VqCrF4bH6A0AowRayIcIeAqoqsLFBTZAgIHLK02zLEnj8+P3EbSwjdfc8yLixUok8HDKZALa9HPllog1gaq+cXNcNNJtqmM8e7eavrdF93WiQz8SyZni+T89pmgHqdV9K1G/rPh8Hm+vV655UU5RKgfQFCAJSUei6wNdfu+HxpBOHpCGdFiUTad2Si7R2yURat+TiJzVZVxTlrwIYAPiPY2S9JITohf/8vwbwRAjx7yqK8icA/lcgsv6vAfgPhRD/2nWvkRSynslk8Py5jtevSV7N0mkyuIqmsfHoNQZP32ez0vmfeX+c8rmnHxcEmJrWXTXF7XQuT7xnDeJmEY+vmkwi8zhVjczxZkH57YFsSMyCd6zbbSIa2WyA7W0XlkV71W/fmvD9iNyXyx62trxL16zV0uQ+uaoKOI4qY/JUFSiVPLTbehg7FsmyAdqd/t3vshiNFKgq7TLX60OsrflTO9adDsnwg2A6175c9rC9/W4TSCJKClSVCO+sjJ2JH+3G0+Qz3hjgLG5gvnM5m5r1+yo6HRU7O9NqikwmwN2717u684pGq6XDski6v7LiSYd82iGna8zTdVWNiO7ZmYbhUEe16uHBAwe6LkKH9yhdQNdJwg3QdJyl+wA9d7erSVUDNyIymQwcB/jNbyh2cGvLQb3+fiK+lpG6j0YqXr6kFY3NTVcqK1xXmestEAc3fYDLtZtMFJydkcEemRV60DTaUV9b8+T7Z5553lU4O6N7a3XVC3f7aV3kps2lOOIxcPU6+Qucn1OTbHc3en98+20Gvq/gq6/GUNV04pBkpLVLJtK6JRdp7ZKJtG7JxU9qsg4AiqLcBfBfMFmf+d2/D+COEOJ/oSjK/xXA/08I8Z+Ev/sBwL8phDi56vmTQtY1TcPhoQFVJUIYz2Tu90neuwizRmoApHs3S9vpOaMJKBN2JnRxxJ3d4+BM7zg4N73b5akyS5Xpb+MZ8WzqdhvHbJ58Nxo6VBXhVFaEU+qIoGazwULzL34O1wVOTkw5/a9UfBSLtEMelxHHp6GjkYLzcx2HhyYmE9p/X1+nPd16nUjZZBKg3dbkbr7r0nXY3HSlxH5ZYrQIo1Ek+69WfYzHqnTv5yYBS/BZnVEs0tSzUvGncu6z2WlCeHSk4+DAlHL5TCbA9rZ3q8YCkzBuiPA1jjv9F4se+n09/GdSY/CeveMAp6cmstkA6+tkVNdsaqGUW0O97sGyAozHapidHpmtqSoRP673vKn24aGOft+CYQg8eDBaOkbuKrguNUt4XWWR1L3ZVHF6asJ1gY0NyndndUq16s2NXvO8yASQG3i8FsAYDlUcHeno9TSUSuS87vuQngXcOON/XxZUEzJ443uPJ/O3hRBM/hWsrro4PdXRbBpYXZ12cn/2zMR4rOGzz8bIxOwO0olDcpHWLplI65ZcpLVLJtK6JRc/qck6MJ+sK4ryfwbwPwbQBfDfEUJcKIryXwD4vwgh/ix8zH8F4H8nhPjzq57/66+/Fv/wH/5DaJqGIAighExRCAFVVeH7PnRdh+u6MAzj2v/3fR+qqoKviaIoCIIAmqYt/Rye5106HtM00eno6PVsqKoGz/NgGDpc10O1qsI0nSufg6aQgKKoCIIAuq4hCFyoqgHX9aDrOgAX6+sqPC86Hl03cHYGAJT5PR4rGI81lEouLIuOQ9d1+L6HIDDQaAQwDPp3TdOhaS4qFRWl0gTZ7Ltd4/g5jcc0CfZ9gUZDh+sKZLMqDMOB55nwPA+1mgJdd7GxMX1OXCfPU0OTKuDkxICmBchmFQjh4fHjAKpKjx0OPfR6FjzPQy6no1SyMRxa6HQC9PsGOh2a4FJOtwdFUaEoAep1YDLx4bp5+L6PfN6DEC6yWR2e5yGb1VAqOe98700mLlqtDIIggGFgqolCZmMqnj8HJhO6LpalY2trhEqFnlsIA+fnArquQ1VddDombFvI4zk708L4LhePHgmsrY1vfP/yOTWbAhcXFmzbx/q6AkVxoShGeD3o2vZ6FsZjH5mMjkrFQaNhSKUH38eWpeDhwxEmExPn5wLDoYlczoEQBkYjH6qqQwgPGxsKqtVJeL8HcBw19BsQqNcFdN2T11hRDPzFX2jQNA2rq2Pcu5eD67oIguDKc7quTu22D9s2AbjY3FQXfkacnlo4OxNQVQ212gT5vIbRyIdh6KjVbJjm9DUejw30+/T3pHjxoGmXj+f01MfpaRaDgY+dHQX5/ASeZwFwsbEBXFwo8H1Vrssse++NxxY6HR/ZrA7HCWBZFJH3Lp97qqrh5ESFoihYW/Pw9q2GTsfAyoqDnR3Ixz57BoxGFvb2RqhWtUv3nmEYUBQFk8nkk/ssf5fPvU/1v0/v85x0XYeu6xgMBj+Zc/op1mn2OVRVhWEYC+uWxHP6KdZp3v8XCgV4ngff938y5/RTrNPsOWUyGQgh4DjOT+acfop1mndO2WxWvt/e5/E8evRoIVl/x4Cim0MI8R8A+A/Cyfq/B+D/cJO/VxTl3wHw7wDA1tbW+z/ADwDP81AuC2QyNJFzXQ+GoYT/b8CNJRI5Dk0t6QZRpeM4G2kBNLnKZgP4Pjk0KwrJY7/7zoTn0Rcm/v9SyYFhsCGVD8fB1Ovx8+XzAdbWJjDNILxxgtjN9m7nT/u1OhxHQ6tFDYNiMUC/D5RKnD+tQdd9rKw4sZvdh6JEI75OR0WvZ2Aw0DAY6GEms8CTJxPk8778UAgCE6enOnRdg6IE0sH95ETD4aEFy9LQ6dDUXtcpH75S8ZHP+5hMFPlcmhZA1124rgtVpd3dUkmR9XuX69LpaPA8uh61GsIINQXlsodGQ0ezqeHsTIWqqtjaGseuS4CjIwV/8RdZeJ4By9JQKDjQddpVf/DAxcmJhtGInOl/9jMbq6uIfSjc7DhtW8HBgQHHUZHNesjnBYpFItS0d+6j1/MxGlEMWaUSYDSiafH5uY58PsD+PkkOdndJ/nx8bOKf//McCgUVxaID06QVh7W1ALu7E2Qy0/deo0HTX8sS2NjwYh90wPGxhtNTDZal4csvh7AsA65LBJ0I5O1GxM2mBiE0WJaPzU0frusDuPxcz58T6bYsBSsrLnI5gdGIfrexwe9zViNoUFWqU6lE6o3ow3v6eff3DXS7Fnzfw507Pu7enWA8Jrn42pqHkxMFp6fUhLGsYO5zzMN4rIQeCCoUxUcmE4T+DupSfz8PQQCcnND7bX3dwZs3Bn73Owubmw5+/vNJ2H3WcXSko9OxsLk5wuPHE7huAOCyq9671C3Fx0U6JUomPC/6LEqRLPB/69L6JQu+70sSmCJZoIHhj/ue+5gy+DsA/kshxFc/dRm8ZdHe82QybWzFX+A7HYoxov1pyoqOT1hZCs/wPKDfJ8Kr61S/uIv7omxy4P3Ita+DEMCbN4Y8Bt4xt20VhYIvM+PnyfTjcBzgxQtyJnddcmGv1Sgrmp2wGbathHvSCCfJPno93sMXCAJgONRwfq4jk6G/f/TIlm7cAF17NmQD6JpubWlhM+TdTclsm+T2JGUmY7pMRsBxFIxGtMOtaRT9Vq16eP3akrvL5OTPee4evv56IlcOggB48cIC73Xv7TlLGYotghDAq1cktfd9gXI5kOZuKyt0j8Wjw+KxabpOe/MvX5pyvWNlhfagu13aq19f97Cy4kkpf9zJnTEeR5L+en1aFh4EkWnb2pqH9fXLXZNF77mrQGZ+BgBx6TXj4Ne3bSVs8gRybSO+x877/Ix6/eq4NN+n5x0MNFSrHlZXaWe811ORyQiYJv3zvLi+6+C6dG79vhoaMF6+5jcFNVIMKArty+/vmxgOVezsOKhWo/vv/FzHyYmBjQ13bq1mcZvapfg0kNYumUjrllyktUsm0rolFx+qdlfJ4H/UybqiKI+EEM/Df/07AJ6G//z/BvDvKYryn4IM5rrXEfUkIQho37nRMOXOM++V5/NEWMvl6EtsfGd1MolIC4Mcnydot6OcZTaWAmgfeW3tHcfhS8INd3ldd/o4KxUXQtC/myYR0OvIymik4PQ0imYbj1VsbzvQtMh8L47xWMHpqY7hUINpijDaS0GpFKDRoFi2iwsDrku7zVtbnoyIIgKuYWWFjK+CgBskYuraCaHceuJIfw88e0ak2zBoyr+25oUu/nqYdQ5ks0JGjLXb5BNw9+4EvV7kL/DFF/ZUbvuzZ9Gi7/379tTe721wfEzGZb2ehs1NF6ur3qXd936fIsL6fQ35PHkU5PP0mIMDAwcHFoSghoFlBeh06DnX18lAbjCgCa5hYOqe52vFGerZLE3R4zg/p+k9R7pddS8FwfLNCo7E0zRgfd1dSIIdB3j6NIvxGNje9rC6GkifiHKZ3Ni7XRVnZ2TwputiKXLa7yvY38+g01Hx4MEE9+878H3I5o1lCdg2eUbMXpPrwI2z4VDFyoqPx48nNyL588AknVz3Xbx4YeLsLIs7dya4fz+67u22isNDC9Wqi5//fLz089+kdik+LaS1SybSuiUXae2SibRuycXHqN0HI+uKovwnAP5NACuKorwFyd3/RFGUz0DRbQcA/t3w4f8lyAn+BSi67X/6oY7rY4ClEtWqh0JBmZqaZzLR1JxNolqtiPSORiry+WCKMJLzuy5N6n4sMFHj+Kx2Wwvd6H0AYspkzLY1fPmlvZAYsNEdObfTbWiaRHjYIGve5P3sjIzgRiOKUbMsIrnkuu1gddXHd9+ZaDYNtFoaKhUP6+sRyeeIs26XosQaDbqOi4jfbWQutq3g6MhAr6fJHHZST2jSfR4glcC9e86lxgrno7fb+pSjdzxiTVGAx4+vJqzLoN1W8fq1hX5fRb1OZm9ffDH9vBwf127ryGQCZLMBLCuQsXfffZeB4yjY2HDxh384Cies5I7/9ddj2cTxfcwlr/H8+NXV6Xuac999n6bJX3+9nPvmMnVjx/1sNriSBPd6dI1sG9jZ8aDrTNJJkt5o6PI9S4Z/yxHqkxMdp6cUS3j3roMnTzwMh3QtcjlKSxiP1VBpcfOO0cGBgW5Xw86Oi729G+4/zIHrAs2mAU0jkv7smYXTUwP3709QKDjycYOBilevLBSLPn72s+VJOiOVcyYXae2SibRuyUVau2QirVty8TFq90Fl8B8aSZHBm6aJVkvFcOhJ8tXvR3nrgwE5wsfd1RnV6mI57ocCu83PNo9UVUgn+E5HlSR5MNCQzQZYWfGn5PpxxCXBwyGde6VCjtamKcKd7Wl572ikYH/fgm2TTJzcrwW2tz0ZgVetkkP6d99l0G5rGAxU7OxEclu+fkyAASL4s1P6RTBNMzx+Z+FjhAD29018/72FdluHZYmwMUOE1jQDbG56V74uOaHT/VCpRHnsg4GKN2/McBpNGejvus47Hiv4zW+ycF3K4H7wwJl7XO22htevqTFSLgeyOaQoCM0BDWgasLc3weGhCd9XYJoCd+5MpIs/XYvLzy0ETcqFwNwos0ZDw8kJdSk++8xGWIalsahuQRDl1lcqlxMQZo/h+NiEbQN37nhQlEAqLeINBV4NWAa+T27+jQbt/G9tuVhZ8dHpaLBtFYYRhMkL1Li4zX8TXr+mRtHurjv32t8URNJ16Dqd69OnFhxHxcOHY+Ry0eNYeZDJ+Hj8ePH75Tos855L8WkirV0ykdYtuUhrl0ykdUsuPlTtPhkZ/O8rhBCYTEj2zNFZLH8HyIiKo8Z+bPC0PA5FoQk0EEXEtVoaMhmBXC7AcEg7tLpOk8S7dy9P7eK57UJA7mkz6czn6fkLBYr1ard12LaC777LhBNFBa5LkVLlssDOjjtF5sdjBQcHJv7lv8zCcVTcu+fgs88mKJWI6HoeHTs3CMplH5XKzZse8WYWZ5MDkWQfIEJdq7n4+msb29uuXEfg112UVU1yco5gi6a7zaaKly9pJyaXC/DkybtnOXJ2vOMQof7FL8ZTqgUhyFSt36eYQUWhY7p715GEbzxWcHhoYDKhKXw+H2A0oqnzw4c2ul26V/p9PTRPu3wcgwGpR+KZ64wgoJUB16WM72Wn6PMw24TkHXhFoTWEq0jw0ZEeyvEVbG2RoV27rSGXI3m+ZQUol2/2fqXoNQPNpo7VVRdffGGjVKL1mNNTA0IIKAq9p/i9dxP4PvD2LU3Sd3edue/Jm4KiDinPfW3Nw/ffZ3B8bODx4+motSCgrHRNg8xKfxckuYH8+460dslEWrfkIq1dMpHWLbn4GLVLJ+s/AizLwnisQFXfnXTdFkxeZ1EoBHJXGgC6XQ2DAcnsOT9cVQHDoOgsgHaU4woA3lvnPXwAU/nScYPgTkeX5mqDAU3YdZ0mzp6nYDRSMJmQyqBYDKZk4J2Ohv19ExcXNPXf3HTx4MEEhQK9aFymT3FYN899bzQ0nJ1FDnwUawN0Oh66XRXr636Yax+gVgukWz83JjSNyNai1yV5OzUQ4hPlszNdNkZKJXJNf1e0WioODiwMBuSk/uWXY+TzQhoQcq0mEwVv3xph/FeAhw+jbqEQtMveaulhgybAcEjHv7fnwHEUaYI3S77jz0G523TvFIvTRLfdVnF8TE2QBw/effceiAxAzs892LYytW6yCPv7JtptFaZJTaheTwtzz8ns7TbGjI2GjvNzDb2ejo0NBxsbZBrXapHSw3EUqbhY1NS5CuOxglZLQ6ulY2vLRb3+7pN0Xk0hs0BPmvnNUzg8fUrNlS+/tN+ZpDNS453kIq1dMpHWLblIa5dMpHVLLj6GwVxK1n8E6OECsPeuGWhLIi75ZmjafPI6mSg4Po5M3QoFcreu1Yis2Db9QbEYyOl/t6uFhlf0HEy2Wy0yQ2PztPhrszs7xX5BPudwqEhynM0G2Nyk+CuAJnYHByaOjw04DhAECu7ccbCz4yKbFdKQTAgihLONh3kIApIhs1M5g98GtRq5izebOkYjFeMxTZkNw8XuriMJtW0ryOeFlHHPEtA4yJBLl8SeJ9WHhyRXBojovqspYBBEpL/dJgO4UkmgVJomcJkMyfMbDQ3DoQbLEtjbc6bWLXo9FaenehiZ5sNxaMd/Y8OFaRJJBC47tcdBueoqVHW+pPvFCxOTiYpSycfu7rtPghmkBMmEBo6TKxMHAJrmdzpRTKKmkXz/4cPbmbG5riJl/DzJ39x0p665olASwG2l7t0uNboGA3pPXacWWAYRSaf3/zffZAEAT56ML3kjvHplYjDQLk3Z3wd+7M/LFO8Pae2SibRuyUVau2QirVty8aFql5L1j4xM+G3Wtt/vZH0yobiyWVwlveZYLiarhiGwuelKstluR/L1UomIWKulSzJL8miS8I/HCl6/tuRuO0l5lVCu7iAI1CkCUat5EAKhQRy9frXqYXs7uuE7HRVv35rodIgcZjIBdnaIwFcqPsZjRRLceJRYHCTNXrzkfPeuM7V2wP4BRPJ0CEGEmrLnTXQ6KhoNF92uhnrdkzF5V5m7USyfLvebedq+vx+d+9bWdMTVbcCy8jdv6Jpls0S0+PjiJoSdjobxmKTNuVyAen3aY8B1aY+83dahaeSub5pkHFir+VK+flXkXhDQcwCYijFjxFcJ7t2zp3ae3xVxX4TdXVKGLHrPBQHw299mcHpqYG2NGhCVio9CIbj1nne3Sy75p6dG6FPgYnWVnotM6FTkcgKFQrC0Z8IsLi7ILT8I+H3mvrPJIJsZ6jod13ffZaEoYu60/PDQQKejYW/PueQz8L7woT4vU3x4pLVLJtK6JRdp7ZKJtG7JxYeqXUrWPzI0jd2wb/cFfZHhG8eZXTVRCwIix4NBFBm3tzdBPh/VvdXSZEY3m8jxbaFplJvdamkIAtr7jSTfNLXVNCKN2WwgiQPnbbPj+mBAEnVNo/1zbg44joKDAwO2raLToSlhoSCQy9Hzrq15aLc1KbW2LJqev35tSln+LLLZAHt7zlxZrudFU38hEMrmxaUccdel43JdA8Wij3x+ObOuZpOuJe9kAzRBdl06mHfNQB8MVBweGmEtVKiqgOdRxN3amn9JWdBokNphMKBrz9PcuEFas6mh1dIwGmlwHEooyGQCbGy44RT4evUAG+QtmqK/ekWxhYVCIOPz3hd4gm+adM8Bi99zZ2canj7NoNdT8eCBg1LJD70XrldlzAMb5dk2NUEyGVIpcILD+bmOiwsd1aqHatWXqpGbgKPSAKqLbWsol71rFQPXgUm6YQQoFn08fZqFpompiEDG2ZmOszMD29sT1Osf1l/jXT8vU3w8pLVLJtK6JRdp7ZKJtG7JxYeqXWow95FhhMuu1xVWiGljNgZPcpeJaSMpqyb30xUF2N52sLc3/QW72YziwcplmqCzvNuyIMmW4yh4+jSDSiWa1LouTTApS5oet7kZmeQx+X/1iqbItRpJvAuFAK5L5P3NGxNBQMZb29suLMuXJC+TCfDihYXxWMXz5xbKZX/q3FWVHMeXmcqyZJ+vhaIIBEF0fqurniTPQgA//MCZ6AK7uw5qNWIttr24dt0uTaxpv9mHpgk8fZqRRnO3mSCPx4qMwRuPacccoOn3xgZFwd2968A0BVZWomOLu6wHAf2Ps93jZHs8phqen+uYTIj0l0oB7t51perC99UrI8040g0ASqXL8WejkYr9fZqiv2uTYh64MVIoXH5tfs9NJj4aDcqzPzoyEATA559PEAQKdF1cKeO/CmRYp6PfVzAcashkAnz9tS3fR2/eGOh2ddTrLp48ud0+92hEKhJNIwVKu01qgY2Nd1sZsG3ypDDNAJWKi2fPstB1MdccrtkkP4GVFe9WMWy3wbKflyk+PaS1SybSuiUXae2SibRuycXHqF06Wf8RMK8LMxyqctodx3VxUrPg5+n3iXzzRDsegcbY3zcwGmlyQm8YJPfmxykKkQLa1Y6M2iYTVcrtc7kg3GmPZOC93nQMHeWl07TSsgI0mzoch+XrNLl3HGA00uD71IzwPEgDLyIO9o3JHblXayEpp5+VSj5cV5HHx9Nz/v1kouDkRJdk+OHDydQKwaIO2nBITu68FmCaAj/8kJGvsWwGOjc+4hCC3NtZ/cAO7uOxAl3HJZIZjyMDSH1g2+ol53Mm8v2+iosLA64Lma1OueGkloiT/3ngfWlNw9z77ODAlEqL+/ff7xSdGwTcGJlHtLtdDa5L16PRINJLjQcXui6gqtc7wi9Cq6XBcVT0egpsm+IL7993pLniy5fUZNrcdK69jovAzZ9sllYQzs8NGEbwzuZxcZKeyfh48SIL0wzw+eeXTVIGA2q0lEqkUvkxkU4ckou0dslEWrfkIq1dMpHWLblIJ+s/URiGgVZLRb8ffenN5QKZBX4TtNs0TfQ8InnZLJHn7W1nShbrukRqDg4ssAfC9rYjHbur1WhSz1J13tl2XaDd1mPTZxdffhlN88iBOpKSxxs+q6vkmv76tRmSJnIAH49VFItkbKaqlEOeyUS73IXCzSTCHDXGJJMj4dbXPbk2AFBkXKEQTJm3sWSbY6k2NryFUVfxDlrcI4Cc3D3s79MEfZF8mGHb0aScj5een2Tptj29i1+t+nAcFUEQPbZa9WVkmOcBp6e6zKev1Tx5zrR/PX2+g4GKFy+skOwHuHNnAl3n+inXklc2yQNoil4uz07Rgf19albMU3K8Kzh6TVVxKRbOdUlNwiiVfDiOgaMjHYCNWs1HJuMtzHy/DtEevoJ2W4XrqlhddWWWuO8DT5+SY/r9+86t5fScclAq+SiXBRoNktCvr7vvZB7HKgDTDFAo+NjfN2FZ+txJueMA33+fRTbrv1N03rsgnTgkF2ntkom0bslFWrtkIq1bcpFO1m+IJE/Wl0GcRAMkkc/lApimkNNVet7I4VwIhKRGoFIJ8ODB5bglgKaN/T5N2Tsd2lvlqLVy2cPOTkTG4tFsADAcAufnJiYTcn73PMCyiHAMBhrKZR/b2xMANB3UNNojPz8nJ+xq1Q/l28tPN+PTewAyUis+3Wf5tqpOx6exa3wQ0MRQVel41tbmR43FIYQW/i0ds2EIHBzQBTWMQBK2+HHGneb5GExzOpubmw2+Tw+gWDQh1RZBQOfBu++KMk1K2bSOZf66TlNuhutSw+LkRMdwSAqGe/cmMAzIc67XrzbJA6IpOud/z9br8FBHr6fPvRbvA3x+s9FrcZ+F+Hthf9/E2ZmBclkgnw9gmt5co7tlMBqp6PXoYjWbZOy2t+fIOtq2gufPM1AUgc8+s28V7Rbto0dmcTRZV1Gvu7d6TgZP0i0rgKYJvH5tIZPx59YpnpX++efvL4btNkgnDslFWrtkIq1bcpHWLplI65ZcpJP1nyiW7cI4TjS5FYIk2oYh5Bfn3V0Xg4Ea7n0bODszIARNqnO5QJK1L76w5+63N5ta6B5OO7aOQ+S+VvOkwZbjEPH/sz/LQ4hoz7tcDjAeKxiNVPi+grt3yaSOZeyqSk0DIWhHmpoFHp4/t+D7iiTH9+5dv2/LE+w4MSwU/CklAufG82MKBX9qes67+wDC6bQCTaMp+nWTzzi5z+Us5HICr1/TC+VyAZ48sWVMHTufx49zUQSbbdN0mMH7//1+RLi5MVOpkOO6bUevoeukHGC5/9kZ+Q1UKtNmgZwV7/sK1tZcrKzQbjs/73VrFtO76P6lKbrjAM+f0xR9Y8PB7u77ncDGp8zlMk2ZbVuRWe0AZMOH8eyZiYsLHSsrHtbXXVSrBqpVBULcXL1CUne6X/jaP34c5b+3WiqOjiwYRoCvvhrfauod30fnHfTRSEWjoYXX/PZ76bZNXhSWRXL3N28sFAr+wp3zZ88sTCYKvvhiudWND4104pBcpLVLJtK6JRdp7ZKJtG7JRTpZvyGSPlkfDMjFGkBo1iYQBApGIzIUM01y4O50iBjqOk0XTZP+n6fuiyLMHEfB/r4pndQNg764M1mrVKLM835fhecpoVu7g+1ter5OR8XRkRnmmPvI5wUsK4hNuQWAaMJZKAR484am7ry7fdV0kNUDcbDL/Sy63Sg/nl3q40SJ5e38HIpCxH/RbvUsOp3IjI73uwcDA8VigI2N6b3eatW7durJ03O+/pkMnVdcTm9ZATxPhedBupmz6oF+H10LjtWLT5IBImcnJzoaDcqGz+XIUyCfF+FOfTAVVbcI1+2in5zoaLVI8v/48eS9T1/jyoF63UOnQ9NsYPo6MIIA0shvc5MaEpYlsLbmwTBu1vmkBgUVVNN8nJyY0HWBzz+PzvP0VMfFBaUD3L17OxVBfB+dlQKkgjCQzQZT6oGbIr6TrigCh4dE0hf5BnBW+sOH4/caofeuSCcOyUVau2QirVtykdYumUjrllx8jMl6StZ/BHAm3/GxK6W7jPE4IuwAkMv58H1lyrmbjbTiRmJxeTTAO8MWjo4MKWfXNIF63ZMRZ5lMgJ//fAzTnJaV8440O1m/fBnlsJdKPnZ23EvxafHX0DR6vn6fGgx37rgLc95n3e5533oe8ZvdRZ7NjycyrMud/FKJ5L5s2FapLM6bZ7BLuO8rcBxFytArFR/b2y42Nw0oyvJ5ivOm54YRrRIARMpNU0iDunrdw2QSGQ5mMpFkPk7s41NxIYDjYwOtFsWumSbF6JVKtCaRzQZL5WBHJJX+ftY3wPOAH37IhGZ17q1N064CZ8W7rjI1LV8k0/c84LvvMmi1NOnVkMlMG+Mtm4PJRoGqSt4L5+cGcrkADx448rVOTw202zpWV90r3fGvAuejx68xN4S4OXJbTCbkIWGaAQCBoyMLxaK/MCLv8FBHp6Njd9dBpfJhY9hugzR/NrlIa5dMpHVLLtLaJRNp3ZKLNGf9hkgKWdc0Da9fG1BVMnVjI7BcLoCi0P40Y3Y31/OA3/wmJye+cff24ZBczjsdDZYVYGfHxd6eA9tWpfFaPk/ydp7WM9jQjSXf3a4qCfje3gTZrJiaeBeLQcy9PspibzT0ULZ7eSrIDYH4hLZcvlqGzdNjgMzXODc7fj34uHhv3TDoZ/Hp9CyGw6gp4jgRoe73acppGESYZiXs13XQ5u2e83WIN1dYCcCyapbisxJgNsecJ/KmOW2K1uupODgwMR4rmExUFIs+MpkA1Wpw6bFX4bopOueDK8qH22FuNDScntJEuVAIrs1yH42AZ88y6PU0bGy4oWJAzJ1GX1c3jn3LZgP0eho6HQ21moftbar/cKii1dLQ62lYX79dk8LzqBFCyhd3qvHQbpNKZDbz/iaI56QDAsfHV7u3n5/rODvTsbn5YZou7wvpxCG5SGuXTKR1Sy7S2iUTad2Si3SyfkMkhaxnMhm02yrOzjzYtopq1ZNTNd73joNM39hITODJE4oxY5LPudv5PBHuSsWbcm+v1TwIQW7xXF6etDLBFoKIn+PQ8bDEuNvVpMN4uezLKTWbfAFEZLLZYCoCiyPkOMIKoEiz6xze45Nj4PIuMhDt9wKYMjqL/7xeJ5LVbs9fumXpvqIAZ2e6JEgbGw7q9cUEcV4HbdH0HJjed1dVIsK9HkmfVTWKVaPrMy1Pjz9vPJbM94Hvv89ACKDdVkP/ABV37zpSEr/M3vRsLvqsNJ5l5UIg3P2+/bR3EdptDUdHdLGqVR9bW9c7nfd6Kp4/t2DbKlZWPJTL/tzjj2Ne3SIzNyL4b98aGI9VbG9H90CzqWE0osZVpeLditSy+7qqiin1CwDpGVGpeNeqPhaB/BiIpJPCwkS16mF3d/6ee7ut4vDQQr3uymbEp4x04pBcpLVLJtK6JRdp7ZKJtG7JRTpZvyGSQtYNw8BvfmNhNIoIhqIA6+sRSfD9aGKsqiSF5qkrQCS6WPSlk7mq0lSWDN1oohqfhHPe+qyjfL9P2dCqyhFXUQZ5NktGda2WJl3lmcTrupASfssKpLSecd1UNI74HveiaTDv9tJxTcvCX760IAQdR1zqzdch7gLPLt6Hh4aMttveXl7+axhk4nd6Gsjp+bz96fg5raxQbnmzyYReQAkPal4Do9GgY5x93tevTfT7pAiwrADDoYbNTZooz/MoWASeoqsqLpFHOnYVZ2fkS/DZZ+/XZIz371nNUCr52N1dLoqs2VTDWiuhkZ4/lS9/FdgAxHVdSZA1jXLLDw5MuK6Cu3cdFAqBjGYjRYeCfN6/VaY5X2f2JoiDCXYu5y+1njAPcZLu+2S4V6l42N2dT8BHIxUvX5ooFIKFkvhPEfHapUgW0tolE2ndkou0dslEWrfk4kPVLnWD/8hQVRW//KWLyWTapMz3IR2uOx2KPFMUyDi0OO7dc9DrkQnceEwmYuzA7nkKmk0dq6tebI+bXMTZuI6l5VtbLkYjivLq9bSQPPpotTS02ypOTnRJeB8+nODkRA/jn2inmc5HudHUdTyOJuDA9NSYEZ9I8xQ6kyGZvm2raLd1DIcqdF3g8eOrCWW3q2E0UvD6tYl8PoCuA59/PrlRfBcfs2nSm7JcHl0ylOt0IsM7PqdmU8PFhY7xWJGknOXaccRN5OK72a2WFu7QU20nExWmKbC15aFeX55IT++iX85FDwLgxQsLrqugUvHw5Mn76RDGpf98HKpKsv9Fk99ZnJ3pePXKlKsDxWJwbQ78LFSVnNWHQ4pwy+V8HB0ZaLc17O05yGQERiMFp6c6XJec+AuFYO4KxXXgFYx511kI4OzMgK4H0vX9pmCSrutkHHd0ZKJedxfmoHseKTEsS3y0rPR3gfoxc+NSvBPS2iUTad2Si7R2yURat+TiY9QuJes/AuLqBc+jKe9oRFno1SpNyx8+nGA0itzMg0BBve6h0SDC3WpRzBPLzEcjFfU6TVeZ5DI5Z+k156BTTBvvaGuo1yNSf3BgSoO5YpHiwvp9ygpvNHSsrbn48kv7RkQpPtEGiHTPkvt+X0W3q6Lbjcdx0f5utUo78ER06Pf1uoe7d6/aZ6bne/XKRDZLruA///loaZfrRcdsmrznTj+PG/NxbNp4TFP0fp8i8UyTIuJ4kj/vNTKZQF6T0UjB8+fk2u/7ApMJNWW2tlxsbU2ujVqLgxzx6d5aX788wW63VRwfU078gwdRHNm7IN604NUIykFXUSr5SzdJDg8NvHljQNfp+pVKN59ws9TdMLTQuE/g4MBELhfg4UMHhiHQ6WjodJTw2ijI529O0uPNkHp9fjIA7cWrc+uwDOIkXQjaSa/X3YURbAAZ7/k+8OWXHzcr/V2QZLXX7zvS2iUTad2Si7R2yURat+TiY9QuJes/El69IhM3VRXY3HRx7547NU1uNHQUiyQl5xi1oyMDmYyYyhI3TSEnl5wzzpJoJk0XF7p0dgdoOru+7sHzaMpHe8kCqkpTVV1n53VD7hFft2s+i/ikGABKJQ/9Ph2nbSuwbT18nCrjxYpFHzs7lyd//b6K01M9dCBfLPd2XQWNhoaXLymOLp8P8KtfjWCayx/zYBDt9S9yHx8MFLkLXywSyeYs8MNDDTy93tlxLhH0+LVh53dNIyL2+rWBwUCT+fS9HqkrvvrKvjYLPg5u1PDxzZvgvnhhYjIh8vzll+82bZ1VSnDTgo7DwNmZgVrNg2kuR4BfvTLx9q2BTIam75XKzaXi5OpOUve1NRetloHvv7dQKIzx5Ak1m/gakWu6CtMMUK3ebIeb4tGocbaIhHPDpFr1YFk3n9S7Lill4iR9dfVqkv7ihYnRSMPjx+P30oBJkSJFihQpUqRI8fGR7qz/CLAsCwAwmUxg20R04vnonQ45U08mClw3im3L5wNkMpGxnBCRaRmThPhUM15K3vN2XXLQ5sl8vU5mcoZBU32e9M5zXr8KcRk1v16cYPL+uKqSLN22yT0+l5sfKRY3PysWg4VkVQjK+3750oKmUZzZdbL4+N/G9/czmcXxZmz2ZpoW8vkApklEaTBQcXJiwHEUVKseqlV/LkGPN2I4io1JdaulQwhy1G82NWSzlG2/tXUz4sj77It20Xs9FYeHJoIAePDAWSprfR7ifgrA5cQCdiUHSI2w7BT5hx9MnJyYyOUoJq9Wm38trwK7uudyATIZgYsLDe22jq0tFRsbPno9R5r2FQo++n0dlhUs7ZrPIAI+fx+dwTnnhcLyaoI4IpIuMB4D7baB9XX3ypWTw0OKlbt7d3LrXfhPDfHPyxTJQlq7ZCKtW3KR1i6ZSOuWXHyo2qUGcx8ZhmGg3VYxHFLud7Ho4+KC9lzbbR2VCk3MaTrsS3IOQBLsOAFigi4EfcHn/e9KxQ8niBr29y359w8eTKbyodm5XQgslPACRAbHY1WS29EokoADwP37k7mO1rOS8tl89Di6XZLczzYhZnF6quGHHzJQVTrmzz+fLCXzjbvUA9Fkex6ILNEvmZQZBu2PP32qwnGIFG5tLc6RjysMVlbotRoNksiPRio8j2TurqtgZcXHw4eTG0V3xVcDCoVgLinc3zeleuE2xmKzcXSLakPNAg2meTMZ+bffWjg7M1AskhphZWXxPTgPkQSdnPjJs0HDYKBiddXHyoqH0cgKo+kcmGaAXk9HJhMsJNqL0Gho8DyKyFvUQAoCUqxY1u123l0XaDaNkKRT42Njw70UIxjH2ZmO8/NPP4btNkiNd5KLtHbJRFq35CKtXTKR1i25SA3mfqLQNA35vIJez8fbtzoUxUC9TtFNjx9PpPu6bStwXW2umRYTdM8jQznLErBt+n+aXqt49syCYVCU1x//8XCKzMYn1/l8IPeKWy196rXivZu4cz1A09tFE0N+/jgpXjTtJnLCEWL+JVMuxsWFiu+/z0JRqBHxb/wbw2sJOq8UxM/hqslk/LoYhphqarx5Y8C2s1BVYHe3v3DqG5+iZ7P0et2uhvNzHc2mDk0L0O/rcF0638ePnRuTRpJ5qwtXA0YjFfv7pP/f3XVw797Npqy8i8/1q1YXE2gmsIWCv7RpWhAAv/lNBo0GGSF++aV9Y9M4jupTVZKgd7sajo50+L6CWs3Hzo6LiwvKEl9dVWFZdA8BuJG5W3ytgNznF9eKzeU2Nm6+l+77tDZASQv0zxsbV8vdOx1SS9RqXiLN45YBZ5imX2KSh7R2yURat+QirV0ykdYtufgYtUsn6z8CNE3D8bEGTQtQKPgyy5x+R/LzeV/0maCPx0oY06bIx1O0GuWkKwpFgsUjsRxHCY20KDZL02gKyQZ1bCo368o+GEQmd7xjvYggxzPS5ykA5p2PbSvQdbFwGthuq/iLv8gCIGL7B39wPSFhBcAyxwxA7ptzFnpcQt5sqjg9JdJL+dv0C9+/fLyzU/TJREWvR5P8IBA4PzdRKPjwPAXb2y7q9csZ8lchfpz5/PxovMNDA72eBssiA7VlMbt3Ppv5PgveRwcQ7qMvdx6eB/yrf5VDq6ViZ8fFxoZ3Y9O4VkuD46jhagdFFPZ6pMagNYQA7fZ0HQYDA9lsgGJx+Q9TkvNrsiFy1b1MMW1aqEy52WcoX0tVFRiNVPR6Gra2nCsn5KMR8PJlJnExbLcB/4dw3nsuxaeNtHbJRFq35CKtXTKR1i25+FC1SyfrHxmGYaBYVNHvOxiN1Csnve22hrMzIiOGIWCatPN89y59Qe90aGI7GJA0Ny5P5mkgEXwyE9vbc650E/d9TMnueeq+CIMB7UkDlAt+XYQbGdfRjc1GZLPodomg8077X/trwyuf0/OAVis65kLh6mNm8H4zQASd5ee9norTUwOuq6BU8qYM2AyD3Lr4TRmX+GezJHtutahmw6Ea7hwDiiJw794ElkUE8iZgAgeIqeNk2Dbw/DmtBGxtOUtFonnedJ3nOfTPw/Q++vLTY9sG/uIvsmi1dNy96+DxYxvl8u1M8yoVylg/Pzdwfq4hmw2wuspO+ip8n95To5GCiwsi6XfuKAA02Pb114Zz2A0jmFJWzMN4THvppdLyqgIGrzAoCnsi6NjeduR7ex6SHsN2G7DELP0SkzyktUsm0rolF2ntkom0bsnFx6hdStZ/BLiui2IRyOWmC+v7RDrZgK3bVWFZASyL5NiZjEC7TbvO/+1/m4Nl0b776qqHR4/8KRIuBJEbISjv+c6dxUSi16M9ceDyZHke2m2azisKkfllSF67TaoAXZ9PCtttFU+fZuC6CrJZgT/6o6sl7t1uPB5MXHvM8b8bj+mBJGmma9bvq+h0NPR6GvL5AHfuOHP30FnmMhqRDB2gyXKrpWM0UtFsUmRcv6+hVPKxvu4imyV3+JsYukVTdAXZ7HwieHREmfeGIa6N5uKmQhAegqqKG8nOeR+dCOzypHQwUPG732XQbmt49GiCr76a3Og6jMdEYhWF7hvHoWZBr6eiWAywvU2kfDRSUSgEIUmnZks2Gx3rMuokmthTdNt158iS9UwmwObm7Ug6ANg2NWK2tydXknTgpxHDdhukssDkIq1dMpHWLblIa5dMpHVLLj5G7VKy/iPAMAxMJsDxsYJejwh1v69gMlERBESuTVPg/n0HQigQQkDTiLxVKrQ7/NVX87PO47nfq6vz5d+zU9Vi0b9yEh13TReCJpvV6vVS37hB27y/aTZVvHxpYTRSUSwK/MEfjBcatRFJi9YFaLd9Obkxu6QDNM3nvxsMVLRaGtptDZZFjuZXTaWFANrtTCiXH0PXBTxPwfm5gX5fwdmZEU71Sd69jHx6FkxOAWBlxb205+95wA8/0HR/fd29MnaNmyoArQPUaot9AxaBJef5/M0mx52Oim++yaDb1fDFFxP8pb80vpHkn5sqmYzAxoaLwUDF2Rld52IxwNaWg+FQQ7+volaj98RopOD0lAj07LEu6nxGxJliC2u164/xtnvpUQNNwXCoYDhcjqT/vsewpROH5CKtXTKR1i25SGuXTKR1Sy7SyfpPFK7r4uREx2SiwrJ8jEYaNjc9ZLMB6nVfTo2FIEJZKtEN8MUX8ydqrosw/ouI/rzJNU/rAYTZ01eTSJbDs4UBO5kvg/gUfVZG3GhoODw00O1Shvjnn8+PmBKCiKLv03UwzeVk2gw2HwNIFs/HMRqpODtjcz5yc79/37mSSMZ30bNZB56nwvNUjEbA0ZEJVQV2dlx8+eUEnhfF5N0EbNI2j2gCRCgbDZJML7oPWCHBNVu2qTKLOIGtVr0bOZo3myq++SYL21bx2Wc2/vV/fbT0FDhOZkslD+UyKUlOTgyMxwpyOYHVVR+TiQLb1uT9MBpRxFl8kj6L2c4nx6IBwNqau9QxdruUl05u9Te7rufnpJJgkr67O8GDB1eT9MNDHe22Ecaw/bT30q9COnFILtLaJRNp3ZKLtHbJRFq35CKdrP9EYRgGgkCHpk1QLgfY3XXDvWcF5+c6XJeIrqJQHNoiksw71/Ok5fHdcGB6orwIPL0GyCBuWWn57OuVy9Mk8fxcx+mpjl5PQ6HgY3fXm2sUFyfFAOTEdFk4TnQM2ayIEXRFyo5HI5LZF4vXZ2vzBDV+DYLACE3cPKyuevjlL8fymMvlmx1vtP/NkXnTxxMEwNOnGQhBzZLZKXrcLwC4XiFxHeJKiHkO81fh9FTHN9/Q2PfJkwm2tpb/8IrXjdUgFxc6ul0Fk4ki4w2DgAwV19fpOlFDRl/Y4IiDO5/9vkCvp0LXl3eEj++l31TyfnFB7+tejxoMy5D083NysN/cdLG7u9gJ/vcF6cQhuUhrl0ykdUsu0tolE2ndkot0sv4Theu6qFR8DAYCkwnFs2kaSaoBIhGL5MokkyZiU6tNu4nHZc+LdsPnPV+/T1FxhnGz6XX8NWdfjyfBgwHle6+teXjyxJ46L97L5klwJrPc/nsc8Yi4+CTftiOCHk842NlxryTU5BWgwfeJLBsGPe/RkYF2W0OxqODJkxFsO4Bt0yT7OhOyWbC03DTnk8xGQ8PZGR3kZ59F1yxeK2B5v4DrQAZ2TGBv9nyHh0TSMxngF78Y3yjjm/fgdZ2UD7wH7vvUIFFVAcuiplW5HMh7/SYknXFx4WM8pvi2Zc8xnpd+U5JOjR4F/b6C8VjDnTsTVCpXk/ReT8Xr1xbqdff3xjxuGaQTh+QirV0ykdYtuUhrl0ykdUsu0sn6TxTkBg+Mxy5cV0EQKOFkdf7j45Fd8YnxZBIRUmB52XO/H8WxZTLLOafHwVN0ISgqi1/z5IQIuuPQNHRlxcO9e9PGavGdekWhifFNzbJ4h973EWZskwLAcaLrwSSPrhkWZrczGg1SKbBRma4Dw6Eis8ofP7bx5Zc2er08xmMLmczwRtno8Sz5atW/JC0PAuDZMwu+T7vTX35pw3FIqs2Tfcu6ea2uAu+Fk3z8Zs/7+rWB3/0ui1IpwB/90WjuKsMikOQ/MnKbTGjXnOop4PsKTFNcUnfcjqTTZHttTcfqqoBtL3ect91LJ7ULNT8mEwW7u861JN22gWfPsigU/Csz1X9fkU4ckou0dslEWrfkIq1dMpHWLblIJ+s/Ubiui3ZbQ6kUXLn7ysZoihLJg5tNTRLSm+xxc746cPuJ7LwpOjuSc0b52poHyxKSyLouSaSZ8BSLt58Gz4ta87wo/sowSN5Ou9vK3JizODhHu9dTkcsJaJpANhvg4MCEbSvY2PDwV/7KEJMJOb83mzo2NsjYz/eX21lmQjxvfx8gF/y3b2nvfW/PxnBItT0702+8p78siMDezKSP8eKFiW+/zWB11cPf+Bt9ZLPL/T0pIAwAQipChkNybRdCyPiyfF6gUqH8dMZNSXr8tbgJpmnBUo7wvR7tpd8kOx6I1BKdjgrXVbC351zbwAgC4NtvM9A0pCT9CqQTh+QirV0ykdYtuUhrl0ykdUsu0sn6TxSGYWBtDbDty2TA84BGg4hGsUikpdfTcHFBpanV/KXNrRoNMmgDFmeaX4d5U/SjIx3ffkv7yZYVoF73piLfOGcciOT4N5lOxtHtRpN4JnlBAHk9NI0aBDzR17T5pDiOVktDt6vCcVRUKj4KhQCjkYrjYxOVio/PPqMM8EaDlAK5XDR5Ns3pnPV5YGk+sJgQv3hhYjBQ4fvA7q4HIQDb1m7sHr8s4gR2ZeXmrvDff2/h6dMMNjcd/Mmf9JbezWeiTdFrNKXudjW0WioUJYAQAr2ehkrFx/a2N5UGwM74y5J026bdclW9nAF/XefTtsk/oFi8qeu9BttW0WqR6SCZwV0/vX/2zIJtq3jyZHzjWvy+IZ04JBdp7ZKJtG7JRVq7ZCKtW3KRTtZ/ovC8eRNWcijXNHJrDwIyEMtklp+uslyeUa3ezPAsDiIhitxjPzzU8eKFBQAolTzU6174Gj6CAOj1NJyf37yhMA/DoYrBgAh6seijXPak9D0IICPRxmOSG19c6Ne61TuOgvNzDZ2OjnLZh64LZLM+Xrwwkc0GqNV8/NW/OpRmZ+OxOnc1YV7tGKyEiEvz42i1VHz7bRYAsLMzwc6Oj3rd/yDknEEEVguP6WaSbgD49a8tvH6dwd6egz/90+7Sf88kNk602fFe1wM4DmDbVItHjyZTqxBM0i1rOZLO1900xcLHL6ob76Wb5s320qmJpKHRUBEEy5P0gwMTnQ5lzt8kb/73GVe951J82khrl0ykdUsu0tolE2ndkouPUbuUrP8I0EJWORj46HRIJq1ptGcdBOQMvuy0zfeJxAK33wFnxPPXy2Uf/b6OZlPH6amBtTUHhkEE1LICuC5FhHW7Gizr3Y3O2NgNAHK56PmaTQ39PjFEPrdGg9yyl9m1brU0nJzo0DTaz19ZoSn8ZEJ70X/4hyNYFp3H6akOw7h6Ms+14zdnFDc2HRFHj6HreXhoYDikXfg//uPhByXnDCawlFN+89r8y3+ZxeGhiYcPJ/h7f6+71N/MRq9VKj6EoDUIQIFpBhgMVAihoF73cefONDnmyfiyJJ2k58ql6z4Ps3UDoubBTfbS2RTv4kKDEMrSJP3sjN5HOzsT7O39/saw3QbzapciGUhrl0ykdUsu0tolE2ndkouPUbuUrP8ICIIA+/sGxmMTpRJNV29i0MW56kAkA38XAtjtkqu5ptEEutfT0Gjo2NpykM0G8H0Fg4GGfF6Er69K6fu7gCT/etgAiBQEnU4ko+cp/WikyqbEdVN01wX29y04DhHEatWH7wMnJwayWYHVVQ8bGx6CAFINsOz+dhBQnUYj2mMHIj+B+P68bQOHhybK5QCPHy9H6N4HbkJg5+HP/iyH83MDT57YS5P0eGb56qorvQROT0l2b1kBjo9NZDIKtrbcSxNljrBb5I4fR7w5QkZ9yyk4uG5ARLhpL3052dJwqIbqEQ2KsjxJb7dVvHljYWXFxc9/nu6l3wbx2qVIFtLaJRNp3ZKLtHbJRFq35OJj1C4l6z8CFEXB/fseHGf5CdtkQnJmYPlYtqsQjzzr9Wh/GwC2thxUqz7abQ3HxyaqVZryr697yOVuL21nxOPa4vvlvZ4qCTrv10+74F8/vT891dBoGNJRvVQSaDQ0NJs6dF3gV78aQ1GIaLPp3U336UmKr0DTfNTrHppNPbY/T1F8rDb4oz8a3e4i3RDxa1qpLE9gGUEA/LN/VkC3q+GXvxzij/94ueMeDFQMBlponkck27YVXFzo0DQBXQ9wemognw+mIugYtHKgwzCuJ+lxN/2bZsAD9J5j1/lCYfm9dN65Pz3VoKoK7t1bjqSPRsDz51kUi35K0t8Ryo8hRUnxQZDWLplI65ZcpLVLJtK6JRcfo3YpWf+EMBrRRBu4mfP7VeDYttNTkoYrChH0fF7g5UsLx8cmcrkAlYqP3d3353DIcV1xZ3tyAyfSHHeJH42UUDqNax3dHQf44YcMfB8y6msyIYIFCNy546BcDmLHoCKb9W80deZGiecBpqlA14HxWIXjKFhb8+C6dAwAXctZefeHQlyZwNf0JggC4J/8kwJGIw1/5a8MsLm53JSZ48lyuYj0EnGnvXHXJTO7SsXFV19dzgvnSTzlq199rYgsa7fKgGcIQbGChiGwuTlZ6m9Yks8rFPfvL0fSgwD43e+yMAyRkvQUKVKkSJEiRYoU7xUpWf8RIMTiyWfcXC2bfT+52uye/vatCUAgmxXY23OgacDhoYHjYxOaJvDo0eXp57ug2yWTOiCSs08mipxEx13W41N0MiW7+rwPDgx0uxr6fQ3375NBGZvNFQoBvvqKpugcHQcoN5I9A/R3zSZFqJXLPrJZgbU1N3xeD0dHOr75JgPDEPjyS/ud1wKWBRmwadC02xFY1wX+8T8uwXEU/LW/1ke9fj0JFQKh8kFBterBsug6cjRdLheg31dh2xq2thzs7l4mqjwdj0/iF4FTALLZ2+3cMzhSbXvbhari2vg2nvYfHekwDODBg+VXGL77LgPXVfD11+Mf7V74fcBVn5cpPm2ktUsm0rolF2ntkom0bsnFx6hdStZ/BKgz3+R7vSie7LYZ6PMwGKj44YcMxmMF1aqPvT0bnkfGY0dHNEF//HjyXgn6cBjtcvMeOE+AgenddIAmp/0+jc6v20XvdlUcHppotTSsr7vY2PCwvu7i4sKEogS4e9dFPk/EivKy1RtNZIdDFd2uKv0A1tY8fPnl9GRYUXR8840Fx9Gwvu7h668vT44/FPicbmsaNx4D/+SflBEEwN/8mz0UCtd/wDB5BcSU/JxVCoWCh2bTwsUF8OCBg1zu8moH13+ZWrACo1QKUC7f/n3AO+aViodazYeuW1c+niMTDw91WBbw6NHyJP3VKxP9voZHj8bI5W59yCkWYPbzMkVykNYumUjrllyktUsm0rolFx+jdilZ/xHg+z46HRXDIV3uYtF/bwRdCODXv85hNFKQzQZYXXWRyQg4joKLCwPVKknAmdS+D5BBGLHsfJ6m4jwp7/dJnj67G84Z8JnM1c0J2yZJ/Nu3JiwrwM6Oi729CU5PTZyd6ajVfHz5JU3ReforBMnqryOG8SYJqxnK5WCudPv8nBzoDUPDkycjBMGP5/rIpnHLnNM89HoK/uk/LUFRgL/1t3pTWeaLwCZs8X3y+PXNZILQI0DDZ5/ZcyMCmQDHvQnmIW70V6+/W+wfv2Y2Ox3Ftij/kqPbDg8NZDICn322PEk/OtLRaBi4c2eC+/dTh/cPhTR3NrlIa5dMpHVLLtLaJRNp3ZKLj1G7lKz/CNB1HbUaUCi8vy/4339vyUiyvT0HOzsBhACCQIEQJDl/nzvos9NyJmPNZuTkPjspj8ezXRVPx+Tt4MBEEACrqz5+9ashGg0dzaaBwUDF9rYjDe94vxiI3MjnodMh0svI56M32Oamd8mlPAiAp09pH35lhabomUwGgA7b/rBkPe56Xqv5MM2bE9hGQ8E//+clmKbA3/7b3aUUFLyPns9H++hkRkjO7roucHJiwLICPHkyX/rPjyeSvvie40z72xj9zQMT/nmvqYcnH4/cOzszcHBAJP3zz+2lSTo7vK+tpQ7vPwZma5ciOUhrl0ykdUsu0tolE2ndkouPUbuUrP8IcK9bnF0SBwcm3rwx0OlouHPHwePHE2SzUbQYAKytue9N5j7t5B4RrG43MoqrVi8Ty1ZLg+sqlyTws2i1KOu80dBRqdDE3PNoD/3580woSx9LUtfp0E68aV4mhULQfnS84VWpkMv8aKSi1yMn83mxd82miuNjEwDw2Wc2TDP63fuq3SK8q+s5QKT1z/4sj3w+wL/9b3evXC0AFu+jx8l0EAg0mwZKJQ9ffWXPJdbUZDGgqgLr64uzy3lV4rpM+2XR7WoYjVSsrLhzJ/xAVDc+19evLWSzAb74YnmSzg7vpVLq8P5j4kO/51J8OKS1SybSuiUXae2SibRuycXHqF1K1n8EGCGjuI104uDAxOvXJno9FaurHh49mmB93YPnEbEajVSUSreTSy8Cy7DjruOjkSonmcWif2m/2HEiafw8As8YDCiy7fTUCOPZXNy756DZ1PD6tYVi0Z+aopNsmYhlueyhUqGfe15EclkSPzu9v7gg8p7Nzr8+z56ZmExUVCr+wl30d6ndVSDTODZfu13tjo91/Nf/dR7Foo8//dPutUSf880BMTXZZgd2IbjpYWBlxZWmfbNgAkwT8sUknc3oFl3/m8K26fhLJX9K8j4PhmHg/FzDt99S/Z88GS9N0lOH94+LD/WeS/HhkdYumUjrllyktUsm0rolFx+jdilZ/xFw0y4MS9wHAyKSX3xhS5f4RkPH+bn+XrLX44jvczPZnkwUSdBzufm75u22hslEgWEsPh7XVXB0pIdu8SpWVjz8pb80Qq+nodPRMByqqNWmd8eZQLJkejymf+/16PeahrlT8vg+fb3uXZq89noqDg5odP7ggX2tQdj77qCxaRy5nt/uuQ8ODPz5n+dRr3v4u3+3e62cfN4+evRzFa5LDY/BQEet5i1J0hfL2KlJoqBU8lAuv7trJu+ZW1ZwLUkHSNr/8qUeuvYvT9IB4NkzC+Oxii+/HL9XI8YUyyOdOCQXae2SibRuyUVau2QirVtykU7Wf6K4rgvjecBvf0smcb5P8u1HjyaoVn1YlpDTaODq3e+bggkxAJRKRMZ9nxoCQiCUm18m4HHpdqXio1q9TMiEAI6PDSldL5V8bG+7MAyBfl/FixcWajUPu7sOstno7zl6y3VpNx4g8nedMR03DRYd86tXJoZDFfl8cCNH9/fVQePzKhZvlvkex8uXJn772yxWVlz8vb/XuZak0z66gkJhmqRzTWxbha4LeB49Zmdn/nWJx+wtkuqzJB4A6vXF8vSbgl3oNzYWT/AZnY6GH36woGkCv/hFgFIpgG0vR9T39030ehoePZpc8jJI8eMinTgkF2ntkom0bslFWrtkIq1bcpFO1n+imO3CkNRYw8GBhcFAgaYBu7sTZDI0MV5Z8aShm6K833g31yX5PDCdb95oaOj3dajq/Ik1EMmar4rkajZVnJzQ5FpVBep1D5mMgG1TJJhhBCgWxdQU3fOAH37IQAgi/6YpsLrqX+tizk7ggJjbNBiNVLx8Sceyt+fg/v2bk7B36aBFJJd2w2u1m7+xhQB++MHEd99lsb7uXDtJv7yPHl2TRoNIuudRDQ1DwLIEdnYWnyOvEqyuzo/Zm5bWX0+ol8VgQB4D8Z36Rej1VHz/fQaKIuROuqZp12asA5ArGdvbDu7dSx3ePwWkE4fkIq1dMpHWLblIa5dMpHVLLtLJ+k8UhmGg31fQarl4+9bEYECT5rt3bbguZ5QHyOUC6a6uacvnhV+HICDSBWBKPt/tRhP7Wu2yZBxgp289PEZ/rqx5NFLw6hXlWv//23vzGMmy7D7vd98SW+57VdbWtfRW1TU1TVKcGZDCbJa5iOKI1EYBEhdRGNGgLQu2IIkmYBoyZFA2IBsSbVkGSYxoSdQQlGiNJVIURZmcgagezt7dtWVn19LZVblFZmRERsb2lus/brzMiIwlI3KJiBP9+4BGVUVGvbwRX7ysPvece048HmJ21lzfsoBKxQREExPBfhbd8xTW1x0UCqYM27JMY7dOKwai8m3T9K4xQFxZMRn9eLy7LHozjrODdtBNvX23+nb4PrC8bIL0Cxcq+OEfzrZ9fqtO69GGwd6eBdcNoRSQSACuG2JmpvVriuafz842r+SIgunDpfUnxfMU0mmnrjt9K/b2LLz9ttnkeeWVEiYnDzZjjvK2s2Ph6dM4pqfZ4X3QYMZBLnQnE3qTC93JhN7kwsz6kOJ5Ht57z0Wp5ODaNdNtfHfXgu9b1fPYplv27q7Vtjlbt0SzzZU6yJYXCmq/k3uzRnERUUBsWc3PJ4chcP++CZSiru9BoBAEuvr3baRSARIJYHzcQ6lkYXfXnDnP5SyMjYWYmfFx9Wpn2e7aUmxT1n24wR3w4EESSmksLlZObWxdNztoUZb5qO7oR11jeTmG5eUELl48OkiPgmbHqX9Pok2WTMbGxESAkZEAYWghFgsxPd16EygqnW81/9wcN7CQSh0dTHdDVBHgODjyXHqxqPDWW0n4vsLNm8W6ID2ilbdSCXj4MImREXZ4H1SYcZAL3cmE3uRCdzKhN7kwsz6kuK6LmzeB99/3US5bsO0Q8/M+NjdNszjTFf10sujZrIVSyWTro2y55x3MpK4tfT/MwaxvhdHRxrPVWpuz38WiBaWAF14oY3fXhu8D5TKglEahYDrJj4wEcBwTNDqOxtSUj60tsxv1wgte00CwGaZruklNNyvFfvbMwfa2qUR47bXisUaftaOTHTQzmsxGLHb8LLMp2Xfx5EkcFy54+Mxn2gfprYJmz1PY3LSxve1gZsbH+fM+SiULsZjG5GTrtUXXO1w6H7GxYZrGTU76mJo63d3EnR0bxaKF+fn2VQiVisK3vpVEuaxw61YRU1OtN3oOewtD4O23k7BtdngfdJhxkAvdyYTe5EJ3MqE3uTCzPqT4vo9Mxpy/zedNYFIuWy3PhndLoWCy8kBUqu4fmpHevnN8baO5Zg3Enj93queSgStXyvB9C6WSwtqaC9s2GfxkUlfPqAeYnT24xu6uhVwuGlHWeSAbjY9LJBobxkVZ/TA0Wf+Tlrq3w/dbv2/mDP/Jssy7uxaePHHx9KkJ0v/En8i1fG7tGfiJifqg2fhwUCpZmJ4O8MILFeTzNpRq/75Hr6FZEF7bNG521jv17ujFosLOjlMdydf6h57vA9/4RgrFosLt2+2D9IO/c+BtaSmGYtHGq68WEYudytLJGdLuniODDd3JhN7kQncyoTe59MPdmQXrSqlfBvADADa01q9VH/tfAPwJABUA7wL4Ca31TvVrPwPgJwEEAP6q1vq3z2ptvca2bViWjXTaweRksD8r/CTUzjWvzcxnMjZyObMDMDvbvClYRHQu2YwRq//wbW/beP7c3Z+l/corJWxsuHjnHVP67jgaWpuS9Js3S/tz0Q+u7cD3TXO8TgNZ02XeNIybmgowPV1/zY0NB+vrpgneq6+WTj2L3gy7+gbW3pxRh3KzMXK8ID2btfHkiYPnz2O4cMHHD/xA6yDd980ZeDP3vj77vLdn4dkz854tLASwrAB7ezbCEEcE6WZUn3kN9YGyOf/uQKnTbRoX0ekotjAEvvGNJPJ5G6+9VsDMTOcNAm3bxtOnDtbXXVy9Wsb4OJvHSaHZPUdkQHcyoTe50J1M6E0u/XB3lpn1zwH4BQC/UvPY7wD4Ga21r5T6uwB+BsDfVErdBPAjAG4BWATw75VSL2mth6I+JAxDTE6GGBk5mdjaRnG1c8339g4axbUapRYRNSID0HAuOZezsL7uolIxDfBu3Cjj+XMXz5+7uH8/genpAFNTHhIJ0zxubq6+MqA22G4247wV0exx01SvPngLQ+DBgwSCwJT1n2UWvRlhaAJEc6Y6Gk3mw3WP99Hc2rLx/vsO1tZiOH/ew/d9327L55ojAOYM/OGgNpu1sLISQyIR4tKlCnxfIZ+3j2zMFvUiGBtrPA4RlfOfdtO4WqIz8e1GsWkNfP3rCeRyDm7fLmB2trsu/um0jbW1GBYXK7hzp3wKqya9JLrniDzoTib0Jhe6kwm9yaUf7s4sWNdaf1Ep9cKhx/5dzR/fAPCnq7//DIB/rrUuA3islFoG8J0A/lO772FZFhzHgW3bCMMQqvp//1prWJaFIAjgOA48z4Prukf+GgQBLMuC1iaAVUohDKMxUJ1dw/f9hvU4jrN/3U7Wc/gaJpMLWJbC4mIFrutgb8/Hzs4IfN/HxIRVfdyF5+mmrymTUdWzy8ClS171NWmUSjGsrZlfi8UA584pKOUhm03i3r0ACwsKY2M+Ll4EtFYYH7cxMqKr73EcQRCgWIxhZydAIuHgwoVS03Ucfk0m+LWhlIVUysP8vFV9bgKe52F3N44nTxRs28bLL+9hZCS6ZuLMPDX73Nh2AqurGkAM58+XEI+78Lywq2u4rovnzzXW1+N49gy4dAn4/u/fq67Hbvjsmay3jVjMxwsvqLr3ZXs7jmfPFCYnTUl4uRxHJqMwPW1jaqoC23abrieb1SgWY4jHy3jhBbvumnt7cezuBpiYsHHxYgW27SAMrVO9n/J5hd1dB1NTHlIpq+HzEf365S/byOXiuHlzFxcuAL5vtXxNh9eTyQR48iSF8fESPvYxc34fSHTlqV8/I7pdzzC/Jtu2oZSq/pwYjtc0jJ6aXSPyF4bh0LymYfR0+BqAOYfZypvE1zSMnpr9mkgc/Bs3LK9pGD0dfk3xeBxa6/1/64bhNQ2jp2avqfaeO+2fw63o55n1vwTg89XfX4AJ3iPerz7WgFLqswA+CwCLi4tnub6+ks2abLNSCtPTPhxHQykLa2umpF6pEOfOBfA8v/rBaLxGEACrqw5s28L4uI/JSR9KKeTzCpubDh4/djE2ZmF8vIL5+QCuW0Yul8TWloNz50wW3bJcaG3GyGl98GEDgM1Nc658YsKU0buuarqOWgoFE7QBpqTbcSwEQQjA1LQvLbnV+domGG312s6aUklhY8PB2JiN8+dNNr/bdUQdzjc3Y1hfB86fB77ne/ZavqbNTTMbfGwswPnzfnX3zlRBPHniYHvbxsICcPt2CYVCHGtrDqanNRYXzXvfrCJnb08hn3eQSHg4f96H5x1cc3PTRrGoMTt74O+0q3p837wHIyMhFhd9hGHzqo+33opjezuBF1/cxUc+EtSts5Pv8fbbcThOBa+/Xobn+QB4OJ0QQgghhMhGRTsGZ3Jxk1n/19GZ9ZrHfxbAdwD4Ya21Vkr9AoA3tNb/pPr1XwLwW1rrX293/Vu3bunPf/7z7Z4yEEQ7Jt4R0V5to7ixsWD/HHg2a6NUMkHy3FxjA7jDmHFe1n6putbA8+cucjkbu7umk/vMjI9r1ypQypQmr666iMU0Zmd9VCoKgMLYWICRkfpyD88DtrYcAAozMx6O2AzaxzSMs5BIhA3NxHI5C0+fmuDq+vUKUqn+lQfl86YUPB4PMT0ddOyuFtOYzcHGho3NTRezsz7u3Glevl/bxG162m8Y2/fwYRyVisLFix6mpoL9rHszN7VEJfTJZFh3Jj1aG4Cujioch6jB4fx86x2Ae/fiWF2N4eWXi7h4sfudggcP4qhUrIZJAMfxRgYDupML3cmE3uRCdzKhN7mclbvbt29/TWv9Hc2+1vPMulLqx2Eaz31aH+wUPANwqeZpF6uPDQVWm+ja8w7OkNc2iisU1P45dNMErP2mSm2ncFNiYQLre/cSKJcVUqkA09M+rl8PEI9rBAHw6FG82mTMx6VLFRSLFjxPNZ2rHp11dhy0HP12GN8H0unahnH1QfrjxzHk8xZGRsKen0U/TG1n99rz4e3cHSbayNjcNEH6zIyPT3863/S57Zq4eZ45pw8AN26UkEya9a2tuUc2tSuXzXXNiL76kW5bW3a1YeDpTCFohakKsTE723oz5513YlhZieH69Qo+/enW5/Zb8fRpDDs7Nl58sdx0c6cbb2SwoDu50J1M6E0udCcTepNLP9z1NFhXSn0vgL8B4ONa60LNl74A4J8ppf4eTIO5FwH8YS/XdpYcnsVX2yjOcQ4axQUBsLbmQCkzD72T2eu7uwpPnsShlMnMAhrlsslg5/M2Zmd9JBIhJiZMQLOzY2FpKQ7LAi5frqBQsKC1aRjXLAg3Xd1VtXFZZ0G6Cext2Hbj2LBCAXj3XROIXrpUwdWr/W2ycVRn907mKJbLpjP/1paFjY0YZmZ8fOpTzYP0qImb4zQ2cdvdtfD4cRyOo3Hrlul2v7NjI5s9uvO85ymk0w5isfoO64WChVzOqo7OO9vOldFGgSnjb77WR4/MLPnLlyst36N2rK87WFtzcfFiGVeutO7wztmlcqE7udCdTOhNLnQnE3qTSz/cneXotl8F8AkAs0qp9wH8HEz39ziA36mefX5Da/1TWuu7SqlfA3APgA/gp4elEzxgGswBwPq6hu8rKIW6GevRCDXbbp/11NqUrIehws6OOS+eTJrRaVtbpuR4d9dkqm0beOmlMpQyf29pKY5y2ZS2X7tWwe6uORPfrKzeZGGjUunOSt0PMvtmnNvhQHRlxcHOjoN4XPc9ix6dJQdUtfS89UctctdsREM0nz6TsbC2FsP0tI9PfrJ5ALqzY6NUspBMNnZrX1+3sbHhIpUKcft2EUodPN/0Gmg/g3xz04Xr1neMj0azJZONXd9Pm+j9dJzGrvUR773n4t1341hc9I4VpOdyZiNjetrDnTvFI5/fzhsZbOhOLnQnE3qTC93JhN7k0g93Z3pm/ayRcmbdtm1kMjaSSQ/RqLQoWNa69dnhXM4EXACglMm8+76C62pMTgbI5WxobUqqXVdDKWBiIkAiYb5HJmPj/ffNha9fL2Nvz0YQAKlUiPHxxox2dNbdccyM9k4olRR2dhwAGnNz9XPdfR+4f99k0RcXK13NyT4LgsAEtkDjvPJWRPMUa3fSTHbcZKyfPTNBeqsz6VFlwvi4XzeLPgyBlZUYcjkbMzMeFhfN+53J2CiXLUxM+EgmW9+b0Vl3pXTdxk80Gm18POzJ2f9MxmwqLCx4TXspPH/u4MGDBBYWPNy61f0YtUoFuH8/iWQywEsvdT4rvZk3IgO6kwvdyYTe5EJ3MqE3uZyVu4E6s/5BxHVdzM8D2Sz2z6GPjtaXuReLCru79dHj6GiAhQV/v6zcsjQSCY0wNEESYIL48fGDJmJhCLzzzkEW/fr1crWxnCmJbxagRqXg3ZS6m8yvQizWWOq+uuognXZg29gv5+4n0flwy2o8H34UUSOJIDho7pbPAysr8ZaZ9NqmcWYj5iDoLpUUVldd7O1ZWFz09ku5owZ8ExM+pqZa/wA4qArA/muJHjMbP0Hd9zsrCgXTwK7VetfXHdy7l9h/j45zRv7u3QTCELh9u9j1Z6jWG5EF3cmF7mRCb3KhO5nQm1z64Y7Beg/wPA/b2zaCwMLCgo8gMI3I9vYOIpB4XNd1zY7KynM5U5YedQm3LI0gMCXzc3MHGdVMxsazZzEAGteulVEoWPB9Bc+zmgbgtVlmE1Ae/aGrDUInJnxMTtZnih88SCAITIl/v0vdgei8dvPz4Z3ieR52dmzs7TkoFBSePo1jcrJ5kH5wfKBxUyCbtatZduDcOW//rL7JhFuYnPQbGvAdZnPTQRCo/aqAg8785j3vxaZIGALr6y4SibBpyXs6bePevSTGxgJ8/OP5Y63p0aMYdndtvPxyEYnE8dbJDqtyoTu50J1M6E0udCcTepNLP9wxWO8BruvCdS2USiHW1x3Ytq4LtGuJmpXlchZGR83Z86mpAHt7pmQ+lQr3y6PLZYXnz13k8xYmJgLcuFFCNmuy6NPTzUvrowDWtjvPMkdl35aFhr+TTpuxb5YFvPxyCc4AfKJyOdON3JzXPv5NtbVlw7KSqFRC3L9vtQzSW20KaG3K4LNZC7YNzM97GBszQXqUSZ+a8hGPtw/S02kT0Efd1c1YNrurzvynQbSxcO5c4+dma8uqlquH+NjH9o6V3V9ddbCx4eLy5TKuXeu85L0Z3LWWC93Jhe5kQm9yoTuZ0JtcmFkfUjzPw9gYkEq1FruzY+83aJucDHD5sodczkYYYn+cGnCQcU+nbVgWcP68h4kJhUpFoVi0WnaQj4LDZg3OWhGdtzZ/p/66S0sxeJ5pgDYIWXTg4DWOjnb+GpsRvW7f13j3XQtTU7ppkF7fxK12TBqwteUil7OQSoU4f97fn4lu1qiajrJr9nrKZQszM6YJ3u6uha0tC4nE2Xd2r2Vvz2xGTE83bixkMhYePEggFtP49m8vtD1n34pMxsJ778UxP99Z87hO4K61XOhOLnQnE3qTC93JhN7kwsz6kNJqFyYMgceP4ygWzfnyixcr8H2FvT0LOzt2XcO2fN7Czo6FTMbB9LSPK1e8/SZ109PBfpn84eubsvXmc86bUd8Jvv689c6OhZWVGADg+vUSUqnjvBunT1Qe3kkpeStq59QDIe7fT2B83Mf3fI/J8JZq9iPqx70dBM1Rg7583sboaIiLFyv7TeXqg/T2AW00831iwryeTMbG9nZ3PQVOgyDAfpf6wyXvOzsW3nknAcsK8aEPlfY3I7qhVAIePjQl86cVpEdw11oudCcXupMJvcmF7mRCb3JhZn1IObwLs7Hh7HfyfuGFCmIxja0tG7mcXR17Vj93PTrbPjER4vJlD6WSQrGoWmbRTZl087PTrTCl49E87vr1Pn4cQ6FgVUeLDUYWvXb8Wqfj5dpfB7CsAPfvj2B8PNjPpHue3fA808Tt4CaNysOLRSCZNPPj4/Hug/SokWA0U31z00E2azYh2jWdOwvSaQdBgBZBehwA8NJLJUxMdB+kh6FpHmdZOPUgPYK71nKhO7nQnUzoTS50JxN6kwsz60OK67ooFBQePtQIApOxfu21ItJpG/m8BduuL2s247DMLPXJyQBzcz4KBQtBAIyMhJiYaB70RR3aTZn00R+m2mzy2Fh91rZQsPD4scmiX7lSwehof8euRUTZXjOrvvm4sE6orTpIJAJ84xsjGBkJmpS7u0inbVQqZSwsHPQZMH/fqa5JwbY1Ll486MTeTZAelZmPjgaYn/ewvu4il7MxO+v1vAdAPm9hd9eult4frDuXs7C8HIfnKbz4YvnYFQzLyzHs7dl49dUiYrHTWnUj3LWWC93Jhe5kQm9yoTuZ0JtcmFkfUjzPZElv3KigUlHY3bWwtubUzVcvlUzTsEpFIQxNd/hz5zyUyxYqFasuUKylNsN8uEN7K0wTO6P+8LzxlRUTKMbjIW7dGowsOlA/fq1Zg7NO8X0gnTZVDaOjPr7ylREkk2FD5/KoiVssFmJuztu/KWurFiIWFg6C6ijLPjXlHxmkR9dKJgPMzPjY3nZQKDRv4HbWeJ6ZDjAyEtRl0/N5C+++G0exaOHGjTJmZ49Xhh81j7typYwbN07WPK4TuGstF7qTC93JhN7kQncyoTe5MLM+pLiui7ExC9vbUYfyg2ZxGxumqVy5bCEeD5FKhfB9E6nFYsDUVPPg6CDg1h2P7TJnoRtno1cqwMOHZkbW4mIFly4Nzg+RQkEhl3NONH4NiM7i27BtYHzcx5e/PIJEojFIN6XoB03cEokEAAvb20CxaMF1DyoMat/32iD9qO7u0cZDPB5ibCzA7q4NzzvZ6zsJGxtmRvvi4sH3LxSAd95JolhUeOGFSsvNoqPY2bHw9OnpNo/rBO5ay4Xu5EJ3MqE3udCdTOhNLsysDylBEGBiIkAqZQLvqDGc1qac2raBkZGg2oFcYX6+dWAUjSVz3c6Cu9qz1hMTQV0J/eqqg3Tagetq3LpV6smc7k6Jzm8nEicLYs1xAhPsT04GeOONEcRiuiFIz2RslMuqrmeA1sDz54DWqhqkm9n1tX0AuhnB5vsme+26IZLJAIWCDcvqX5C+u2ua4c3OHjQSLJWApSUTpF+54h27H0ClAty/fzbN4zqB/wDKhe7kQncyoTe50J1M6E0u/XDHYL0HWJYF3zfN4pQCbFtDV2NmxzEBeyymMTvb+gMQjRPrdCyZyUjbUAoNZ63v3zdZ9Lm5wRm7FmHO3Uedz48fxEYZedcNMTXl4403RmDbGt/93fm6c+DmfTXj8qamjJQoCw8A8/O6uia7bj3djGALQ2B93YVlacRiITzPQioVNDRv6xWep7C56WB09GANUXBdqQCXLvmYnPSRSHQ/hg0wzeMA4PbtYt82gKxB2nkiXUF3cqE7mdCbXOhOJvQml364Y7DeA7TWyOctxGIanqcQBCZyVgqYnvZbNhGLzlcDuu58ezuiIDKZrG9al07bWF01F3j11VLPG5cdRTptysgnJgJMTh4/iN3bs7C7a8rYp6Y8fPnLo1BK47u+6yBIr20OV/u+RqPXHMeMustkHOzumjPklYp5L7tpHFd7zEEpDa3NZstRGfizZH3dbBhFJe++D9y7l4TnKZw/72F8PDh2M8FHj2LY3bXx8stFJBKnueru0fp4Gw2k/9CdXOhOJvQmF7qTCb3JpR/uBixkG16CwJwztyzTPG5ysnXAVihYyOUs2DY6yi4HgSmvBtDQ2GxpKY5y2Yz/GrQsem03+k7KyNsRlc0nkwFmZ00mPQgUPvax/H7X8WiGvFK6rtrAnDdXGBkxpfI7Ow7yefPex2LmSd0E6YDZfCiXzVEHx2ls5NdrsllzfGJ21pS1hyHw9ttJBIGpvDBTBo73/kfN4y5fLuPatbNvHkcIIYQQQsgHAQbrPUApBaUszMwEdeOwDhOdm65tQtcOk0W2YVn189R3diysrJgI9fr1ElKpU3kZp8bB2DSceDxZdIZ/ZCTA3JyHN94Yge8rfOQj+f3sbtTZ3XEONj9Mabr5xtPTAXwfyOUcxGL1Z8gzGQeVisLIiNdRkJ7J2MjlrP1Nmbm54zVmOy0qFYV02sHYmCl5D0PgrbcSCENgdtZHPB62PX7Rjp0dC++9F8fMTG+bx3WC6uebTk4E3cmF7mRCb3KhO5nQm1z64Y7Beg8IwxCTkyE8rzHYq20AV3tuuh3ptA3fV0il6gPLR49i2NuzMDoaDlwWHTDjwaKxabWbC8fBdLa3MDZmZpN/+cspeJ7Ct397ESMjpoz7cGd34CBwj87yF4sWtredhkZ2ZuPEwvy8GYfXzF39eiyk0w5sGxgbCzAz0//mIWtrZj2LiyZIv3s3Ad9X+xsk7RoZtqO2edyHPjRYQXpEGB6vlJ/0H7qTC93JhN7kQncyoTe59MMdg/UeYFfrn2tn85nRa1ETs6NHr5nz69E562C/e3ehYOHdd00W/cqVCq5dG7wfANGYOdvWJ26qFjWgGx8PMD7u4StfSaFYVPi2bytibCyseU59Z/ds1jwWBe75vIX1dbdaxdAYpE9O+piaCqqj21rPVcznLTx/7sBxTKZ6YqL/7382a6NQsDA3Z4LyBw/iqFQszM1VoJSFuTn/2CX59+4loHV/m8d1QrN7jsiA7uRCdzKhN7nQnUzoTS79cMdgvQfUCjVl21Z11vnRpe5R0zNzfv3g+SsrLjIZB4lEMJBZdMB0ZM9mnY7HzLUjCqLHx31MTAT45jeT2Nmx8eEPFzA1ZQLk2s7uk5O6rsHb+LgZW7e7a2FtzUUqVd9tPtoEmJgwQXpEq5uxWFR48iQG19W4eNFHKtX/IL1cNvPbx8dNyXsUpC8sVBCGFqanw2P3BXj8OIZcbjCax3UC/wGUC93Jhe5kQm9yoTuZ0Jtc+uGOwXoPcF0XW1sWdncrGBvr7Dx6VOo+MnLw/EoFePjQREqLixVcujSYN7vZYDAz0k+aSTfN3w4y3d/8ZgI7Ow5u3Srg9dfD/WMEWh90dvc8tf9YlEXO5SysrTkNI+Gicvrxcb9p0z+32io+mqtYKim8804c8XiI69crbXsQ9JK1NZPdP3/ew9JSHMWihfPnywgCG2NjGqnU8TysrztYWzPN465eldM87rA3Ige6kwvdyYTe5EJ3MqE3ufTDHYP1HuB5HsbHgZGR9mI9D9jaahwptrrq7J+HvnWrNLDlx9mshWLRbshaH4dornzUJf7u3Tg2N128/HIJH/5wqW5ufXT2Op+3sL1tRq8tLByUv0dn21sF6e26oEc7aKUSsLSUhOuGA+Ugm7Wxt2dhft7DkycxPH+exOJiBZ5nIR4HJiaO5yGft/DoURxTU4PXPK4TuGstF7qTC93JhN7kQncyoTe5MLM+pBy1CxM1QjPdyk2QGTUEC0MTjA5qqTtwUKJ+OCA+DpubDoJAVTcrNB4+jGN11cWNGyXculVGuaz2G6dF71U0Vm1kJNwP0g/K5oO6gDXaUDj8eCt8P4aHD2PQuozbt4t97exeS6VixtCNjQUolxXu3Uvi4sUyRkY0lMKxKxqikW6JxOA2j+sE7lrLhe7kQncyoTe50J1M6E0uzKwPKa12YaIz1rWN0NJpG6ur5oPw6qulE401O2tMqX7jOe9uic6Wa60wM2PmgL/7rouVlTguXy7jE5/Io1AwZezRWf8wNJl1wIxei8rRTeDeuKZoxFunGwp7exYeP44hHle4eTOPMBycH6jr62azwveBd9+N49KlMpLJEJ5nnejYwdJSDKWSjddeG+zmcZ3AXWu50J1c6E4m9CYXupMJvcmFmfUhpXYXxvMUtrZMJ8HaUvelpRg8z5RlD3IWXWuT/Q5DhelpH7HYyYJ0M7ZOYW7Og20DT5+6ePQojgsXPHziE/n9s+bR7Pli0WTWLcuMXosy3bVn26enG4P00dHOgvRs1sLz5zE4TohXXilhdDQBwEWp1P9gPZs1r8XzNHZ2XCwuVnDxYgXlso35ee/YHd5XVhxkMi6uXStjdFTOufR2cNdaLnQnF7qTCb3Jhe5kQm9yYWZ9SPE8D7u7FnI5B45z0AU+l7Pw4EEMlgVcvVpCKtXnhbahNrCO5nSf7FouAL0/tu75cwdLSwksLHj45CfzyGRsrK05+w35slnz59qZ6cBBdj862x5hjhZ0HqRvbdnY2nLguhrXrpURj5tM/SDsfnqeQjrtoFBQ2Nuzce6chytXyigUbExP+8fu8L61ZeHZszjOnfNEl7w3YxC8keNBd3KhO5nQm1zoTib0Jhdm1ocU13UxOgqkUiZj/vhxDIWChVQqHOgsOhDNd3ehlK7LZB+HMAQ2NkyQvrDgQSlgY8PCvXspzMyYTHo67WBtzdkfv7a56WB319ofvRYRNaA7nN2POtEf7vrejKhKYHfXqo5gqyCVqu/u3u/dz40NZ79qYG7Ow/nzHrJZUwZ/3JL3qFnexITsc+nt6Lc3cnzoTi50JxN6kwvdyYTe5MLM+pDieR6KRWB52Yxdu3SpgqtX+z+Xux2VipnZbVn6xE3jggDY3HRhWQdB+va2hW99K4WpqQAf/3geGxsmSJ+ZMVnzqCt+NHotIgrSowZ0EXt7FnZ3O+tEH20aFIsKsZjJ7o+NNffRr93PXM7CyoqLctnCwoKH+fkK0mkHlcrxz6WHIXD/fgJKYWiD9AjuWsuF7uRCdzKhN7nQnUzoTS7MrA8prusin3dw61a+30s5klJJYWfHrpbrn+wD6fuNQXouZ+FrX0thdDTEd393HltbLtbXHczP+ygWLWxtOXVd8SMOd4mPKBQsZLOdBelRvwDfV7BtYGoqaDpbvZZe76B5nsK778aws2PjwgUPFy+Wsb7uIpu1T9Q87vHjGPJ5Cy+/XEIsdooLHlC4ay0XupML3cmE3uRCdzKhN7kwsz6k+L6PhQUfvn/0c/tFoWAhl7MRj4cNgXK3RKXzUVZeKaBQUPjqV1OIxzU+9rE97OzY2NlxsLDgYXvbxsaGWw24WwXp3n4zPgAoFhWyWdN47qggtlBQyOUcKBUCUEgkQszOdnaT+T2U9uhRDCsrMVy+XMFHP1rA5qaD9XV3f6PjOKyvm2tcvlwe+GqO06SX3sjpQndyoTuZ0Jtc6E4m9CaXfrhjsN4D7God9yDenOaMt4Vk8uSZdM8DtrbcutL5SkXha19LIQyB118vYG/Pwd6ehfl5HxsbJpA83BwOMGe1w7CxmZ3J/DvVTYX26406wScSIQANQHUd+PbC3eqqg/v3E7h4sYKPf9w013v+3MXcXH0VQTfkchaePIljZmb4msd1wiDfc6Q9dCcXupMJvcmF7mRCb3LphzsG6z0gDAcvoxkFsqYR28k+cKa83Kkrnfd94KtfTcHzLLz8cgFhaCEMzWi1nR0HGxuqoWFd7Vi4w0F6dIY+Fjs6SM9kbJTLFkZHAzhOiFJJ7Xed75azdJfLAV/72iimp3186lN55PMWnj93MTkZYGrqeBsnvg/cu5dEKjW8zeM6YRDvOdIZdCcXupMJvcmF7mRCb3LphzsG6z1AnaSF+imzs2OjVFLVkWgnzaQ3BulhCHz96yns7Vm4fr0ExwGSSfPhLhZthCEavq/WJpOu9cG89cPfw3WPXm9UMj8xYTYf8nm74Yx7t5yFu0oFeOONUbhuiE9+Mo9SSeH5cxcjIwEWF4/vZGkpjnJZ4bXXisfamBgmBumeI91Bd3KhO5nQm1zoTib0Jpd+uGOw/gEhGv81MeFjcvL4wSsQZbnrm9BpDbz5ZgKZjIPLl8u4eFFjfDxEPm/mnY+NNTaAq53d3hikm5L6oxrd1V5jZsZDsWghm3UwMeFjamqwGndE1QaVisJHPrIHx9F4/txFLBaeKEhfWXGQybi4caOMVIq7tYQQQgghhAwDDNZ7gNYnC45Pghl1ZjqfHz4X3i3lskImY8N1dV3p/IMHcaytmY7ur7xSxuioj3zeQS5nNzSGA+oD7Pl5ry4LHI15s+32QXrUxA4wo9dKJQtbW27TTYGTcBruwhB4660EtrYcvP56AVNTIdbXHWhtZqUfd5Muk7GwshLHuXMfzHPp7ejnPUdOBt3Jhe5kQm9yoTuZ0Jtc+uGOwXoPsHpck1xbVn7SMnDgoKmbOS9+EKQvL7t47704JiZMkJ5IhCiVbBSLdtOA+SBIR8MZ8jAE1tfrx7w1w2wYHMx/L5cVNjZcJJMnL+tvxknd3buXwNaWjatXy/jQh0rIZGysrrqYm6s/k98NpRKwtJTExMQH+1x6O3p9z5HTg+7kQncyoTe50J1M6E0u/XDHYL0H9GoWX20wPDfn15WVH4doPNrhpm4rKy6WluIYGdG4ebME29YIAgtKNZ5HP1jXQRa89nNe+7VozFszotFy0dn1IABWV92OGs6dhOO6W1qKY2fHxsKCh2vXyvA8hdVV0/l+evr4n4d79xIAwCD9CDi7VC50Jxe6kwm9yYXuZEJvcumHOwbrPcCpplDPqs1/VDoO6IYO68chCtIPj0dbW7Pw9tspxGIat26VYCpBFMbGAiQSjR/e+ky61yRIN19rl0nPZi0UizaSSVPerjWwtubAstA2uD8tunW3vBzD3p6N0VEfL73kI5kMsb3tIJU6WfO4p09jyGZtvPRSEYnEsS/zgeGs7zlydtCdXOhOJvQmF7qTCb3JpR/uGKz3AM87m8xv7VzzbueHN6NVkL69beGrXx2B42i8+mp5P2O/sNB8HFq7M+lANEO9sRS+lmj8Wu0Z9HTahu9bTa95VnTq7vHjGHZ3bUxO+hgd9TE352Fjw0UQmHPpx2Vjw8HamosLF8q4cqVy7Ot80Dire46cPXQnF7qTCb3Jhe5kQm9y6Yc7Bus9wK12WDut0olo5vhRTdg6pVWQns8r/Mf/OAJA4aWXSkgmAdcNMTPT/HUcFaSbZneNM9RricavTU4edHM34+YsTE/7iMV6W35ylLuVFReZjIP5+QricY3JSR/5vI3NTfdEmf9CwcLychxTU2wedxxO+54jvYPu5EJ3MqE3udCdTOhNLv1wx2C9B5zWLkzUXM1xTuectgnSbSQS9UF/qaTwpS+NwPMUXnqpjNFRjdHRAKOjzceCHRWkR2PjWjW7Ozi3jrru8fm8hXzexvh4gMnJ/uxCtnL37JmDrS0X589XMD/vw3UB2w6RzTqYnT1+U78wBN5+O4lYLGSQfgK4ay0XupML3cmE3uRCdzKhN7kwsz6knHQXJgqqY7HTzaQnEvXd3T0P+OIXR5HPW7hxo4yZmbBtN/mjgvSolH1qym86Ns73zVl7perL+KPu86nU6Y5hOw6H3a2vO1hfd7Gw4OHKlQoKBQsjIwEKBXOu/iSbCo8exZDP27h5s3jsTvHEwF1rudCdXOhOJvQmF7qTCb3JhZn1IeW4uzBRB/TDQfVxKRQUcrkoSD9YUxiaIH1jw8HNm0Xcvh1gbq51o7qjgvSoKdzExEEpey1RMG5Zuu48t+eZ2emHy/H7SeQunTYj12ZnfbzySglbWw7C0GxiaK1OtN7VVQebmy4uXy7j2jWeSz8NuGstF7qTC93JhN7kQncyoTe5MLM+pHS7CxOVf5/W7PBWQbrWwB/8wQiePInh1q0CPvzhIiYnW6/xqCA9l7NQKJiy9YmJxnXv7ZnNh8Pj1qIy+MPB+yCwuxvHe++5GBkp4PbtEjY2HGSzNpQCgkCdaL25nIUnT+KYmeG59NOGu9ZyoTu50J1M6E0udCcTepMLM+tDSqe7MFGwe1rl362CdAB4440kHj5M4tatAn7oh3aQSrU+Y10bpM/NeQ3z26PNhdHR5uuOXlcyGTQEt1FDudPoZn+a5PMWHj+OYWoqxK1beezsaKyumpJ94GTrDUPgrbeSSCYDBulnBHet5UJ3cqE7mdCbXOhOJvQmF2bWh5SjdmGyWRvFotUy2O0WE6Q3No7TGvjKV5K4ezeJl14q4i/8he2GwLsWrc3oMK2bB+lRmX6rzYXozHqz17W9bb52kmZsZ0GhACwvJ5FKBbh9uwTHSWBjI4lCoQTHAaanA8Rix1/v0lIMpZKN27eLPRs/90GEu9ZyoTu50J1M6E0udCcTepMLM+tDiu83P28eBbOtysa7pT6TfvA9tQb+8A8TuHcvhRs3SviJn9hue52jgvRi0Zw5b1Wmv7lpRrTVjl+LyOUs7O2Z8+zT04PzQ6pSAR48SCKROOjCnk7bKJUUYjEfU1MhRkaad8PvhGfPHKTTLq5fL2N0lOfSz5pW9xwZfOhOLnQnE3qTC93JhN7k0g93DNZ7gF2NdiPB29s2KhWrZQO2bmlV7h4EwNe/bjLp168fHaQDJkgPw+ZBejTfPRYLG8rZo1J5rVXTbHkU4I+ONpbC95MwBO7eTcCygNdeM9nuQsFCOm0DUJidBaamNMrl4wXqOzsW3nsvjrk5D3fusOS9Vxy+54gc6E4udCcTepML3cmE3uTSD3cM1ntAGJpAL5224fsWJidPJ6vcKkivVBS+9a0EHjxI4PLlCn70R7ePLLmOsuFzc17D2DDPA7a23Kbz3YPAjF8D0LTpXG2H90EL0u/fTyAMgVu3SrAss+Hw/LmLfN7C5GSA+XkPrusiPEac7vvA3btJjIzwXHo/CI8jjQwEdCcXupMJvcmF7mRCb3LphzsG6z1AKYWtLRvj4yXEYqcTpGezjWXouZyF5eU43nknhsVFH3/uz2UQi7W/VjptgvSZGQ/VYxj7BAGwseHCcRrnu0dZ9sMz0iMGucP70lIcpZKFV14p7r8/Ozs21tcdjI+HuHatvL9hoY7RRW5pKYZy2eK59D5yHG9kMKA7udCdTOhNLnQnE3qTSz/cMVjvETMzASqVkzVSKxZNkH44S72+bmNtLYYnT1xMTYX44398F6Oj7Xd+oiz/zExjyXoUaCtlgvTaz2W0hmZZ9sPXbpZp7yfLyzEUCjZu3CgilTKPlcsK77/vwrKAy5crSCaP7+jZMwdbWy6uXSsf+f4TQgghhBBCSDsYrPcArU8WpJdKCpmMCdJrA+T33oshk7GxuWnBcRT+6B/NY3q6fZC4tWXD8yxMT/sNWf6DxnJoyJZH49majYGLyGZtFApmA+A0KghOi8ePY8jlbFy9Wsb4+EFzt2fPXGSzNi5cqGBiovn71om76Fz6wgLnpQ8KJ73nSP+gO7nQnUzoTS50JxN6k0s/3J1ZsK6U+mUAPwBgQ2v9WvWxPwPgfwDwKoDv1Fp/teb5PwPgJwEEAP6q1vq3z2ptvcY6Znq5VDJN2WobugUB8ORJHHt7FopFjb09G7dulXD+fPtGB1FTu6kpH/F4YyAdnVmfn69vLBeNlWs3+31vz8Luro3x8cFqHrey4iCTcXHpUhlXrx4E6bmcmaG+sODj5s1S22u0cxedSx8b47n0QeO49xzpP3QnF7qTCb3Jhe5kQm9y6Ye7s8ysfw7ALwD4lZrH3gbwwwD+Ue0TlVI3AfwIgFsAFgH8e6XUS1rrwUnPnoBuZ/GVyyaTHosdZLELBYXnz2MolxUsSyOdtvHCC2V85CPtg81oPFyrpnZbWyaIP9zBPQru242Vi86tJ5OnMx/+tFhddbC56eLcufpMt++b8+quC9y+XeqoRL+Vu6WlOMplxXPpAwpnl8qF7uRCdzKhN7nQnUzoTS79cHdmwbrW+otKqRcOPXYfaHo4/zMA/rnWugzgsVJqGcB3AvhP7b6HZVlwHAe2bSMMw/3raq1hWRaCIIDjOPA809X7qF+DIIBlWfslDkophGEI27Y7vobv+w3ricVisCwLhUKh7Xr29nzkcglYlocrV0zH8mzWrY5T0xgZ0VhZcXHhgsYf+2N71b8bNr3W5mYI349hbKyCc+cUtHbrXlMu5yKXC7CwYMG2K3DdODzPQyaTQLnsY37egmVV4LqxhtcUhsDqqo1EQuHixQocJ3as9+W0PaXTLlZWFBYXgddfL1X/jobrulheBvb24njxxT2MjTnw/c4+NyMjI/A8b//PGxtJrK5qvPJKgETCh23HB/qz1+16euGpF6+p1tuwvKZh9NTsGq7rQimFcrk8NK9pGD01u4bjOHAcB/l8fmhe0zB6OnwNy7Lgum5LbxJf0zB6avVvne/7cBxnaF7TMHo6/JoSiQS01qhUKkPzmobRU7PXlEwmz2Q97RiUM+sXALxR8+f3q481oJT6LIDPAsDi4uLZr+wU8Dxvfy5fMyoVhXTaARDi/HkfnhdgfT2GrS0H8TgwNeXjzTfjGB83QbqR2/xaOzsWfN9BKlXC3JyPINAADjZHcjkLu7sWpqY0Fhd9uK6LSsUE356nsbgYQGu/+mFrvP76upk/fv68B9u2MAibg9vbpqx9bk7jzp1i3dp3diw8exbH3FwRN26U4XndnTXxfR++7yOXc7C8nMCFCyHu3ClXb8IzeDHkVIi8sdRMHp7n0ZtQODNYJr7vszu1UHzf589Mgfi+z3PrQunH/1+qs/ywVDPr/zo6s17z+O8B+OvRmXWl1C8AeENr/U+qf/4lAL+ltf71dte/deuW/vznP38WSz9VEokEAKBUqi9Z9zwTpLuuxuysD88DtrYcZDI2xsdDjI8H+Na3kgCAj350r2H+eS3ZrIVi0ZwbT6Uam6Xt7VnI5WyMjQX7ncoPZqRrzM/7bcu5o7L42dnGOez9Ip+38OhRHGNjQd2ZdMBUJbz9tplzfv16pcUVjsZxEnjrrTji8SKuXTv+dUhvaXXPkcGH7uRCdzKhN7nQnUzoTS5n5e727dtf01p/R7OvDUjYhWcALtX8+WL1saHAO5Si9jyFrS0HjmNmkO/tWVhbc5DLmSD9hRcqeOutJJaX4/gjf6TQNPiOyOUsFAomCG92brxYNE3qUqmD5m/RWXPLaj4jvZbdXQt7e3bLM+/9oFQCHj5MIpkMmzZ2e/fdGPJ5G6+9VkSbgoYjWVqKw/dt3LqVx5C0T/jAcPieI3KgO7nQnUzoTS50JxN6k0s/3A1KsP4FAP9MKfX3YBrMvQjgD/u7pNMjOotQKgXY2nJh22Z+eSZjY23NQaFgIZUKcfVqBQ8exHH/fhx37hTajmGLgujR0eZBerlsAvJE4qCTvJmRbsN19ZEN4aLnjo62HtXWa6Lu665ryt0Pk07bePYshsuXKyfKpj975iCddvHii2VMTysALkolBuuSiO45NnGRB93Jhe5kQm9yoTuZ0Jtc+uHuLEe3/SqATwCYVUq9D+DnAGwD+AcA5gD8G6XUN7XW36O1vquU+jUA9wD4AH56WDrBA2YXxsw3d7Cw4GFjw8HqqgPPU4jFgMuXK3jyxMW9eyN46aUSbt9uXVoRlbO3CtJNKb0LxzkI0s1oNQuJhMa5c+3PFPo+kE671Znug3H+MAyBu3cT0Lp59/VSSWF5OY7R0bBpEN8pOzsWnj6N49w5b/863P2UCb3Jhe7kQncyoTe50J1M6E0uQ5VZ11r/+RZf+o0Wz/87AP7OWa2nn7iui6kphdXVEOvrDrQ2XQUvXPCwtubgS18axcWLHj71qXzLaxQKCtlsfTl7LWEIbGwcZO2B6By7ydofFXhrDWxsOFAKA5NJB4AHD+Ioly28+moRsVj918IQePw4jnIZePnlMmpHz3VDlLEfGQkagn3ufsqE3uRCd3KhO5nQm1zoTib0JpehyqyTAzzPnEuPurIvLHjIZi38/u+PYmbGxyc/2TpIj86cJ5Nh0yBda2B93dm/rlIHs9XNOfajs+NR87i5Oe9EZ7xPk6WlGIpFGy++WEQq1fj1jQ0ba2suLl/2MDl5/BtmaSmGUsluOS+du58yoTe50J1c6E4m9CYXupMJvcllqDLr5ACzC2NhYaGAYlHh939/FKlUiE98It+yA3t05jwebx6kA8DmpoMgUJif92BZQDrtwPeByckAU1NHB7BRc7qpqcFpHvf0aQzZrI0XXihjfLzx3PnuroVnz2JIJkPcvl1q2xyvHaurDjY33ZbfJ4K7nzKhN7nQnVzoTib0Jhe6kwm9yYWZ9SHF8zwkEsAf/EEKWit813flG0q6D55rOsW7busgfWurfozaxoYprZ+ZCToqBY+y9a3OvfeDlRUH29suLl4s48qVxuC5XFZYX3dRKilcvlxp2yG/HdG4t7k5r2kn+cNw91Mm9CYXupML3cmE3uRCdzKhN7kwsz6kuK6Lt96K486d3f0Z54eJGrs5TutO7dmsjWLRwuSkj6mpABsbRt9RM9IPf49YrPVGQK9ZX3ewtubWNXWrxZT5u8hmLczM+Lh8+Xg7WdHc9UQi6ChIj+Dup0zoTS50Jxe6kwm9yYXuZEJvcmFmfUgJggB37hTgeY2BehA0NoY7TDSmbXw8QCrlYWvLNIJbWPA7KgMfxOZxW1sWnj2LY2qqeZBunmPvn9e/dq2M6v3RNcvLMRQKNm7eLMLp8hPPH6QyoTe50J1c6E4m9CYXupMJvcmlH+4YrPcAq0naO8oYK2WC9GZBd6GgkMs5GBkJMDXlI5Ox4ThWVyPVBq15XC5n4fHjOCYnW2e483kzns7zFGZnPUxMHK/kfX3dwfq6i8uXy5icPN7c9WbuyOBDb3KhO7nQnUzoTS50JxN6k0s/3DFY7wFa65rfmyAdOOjefphyWSGTcZBIhBgf95HLOfC87uaeR9n4ycnBaB5XKADLy0mkUo3j0SIqFdNUr1LB/vz54zSQKxQsLC/HMTPT2bn0dtS6I3KgN7nQnVzoTib0Jhe6kwm9yaUf7his95CNDQdheNC9/TDRmXLXDTE6GiCft7suXS+VTKA/KM3jfB+4dy+JWCxsGThHGxhhCCgFzM76SKW6vxnCELh7N4F4XJ84SCeEEEIIIYSQfsJgvQcopbC9bWN6utD0zHQ0K922gWQyRLFoIRbrLtiOzr63G/XWS6LAGQBee635DHPAlOmXyxaU0ojFNGZnj1cF8PhxDPm8hVdfLXV9Lr0d6riz4UhfoTe50J1c6E4m9CYXupMJvcmlH+4YrPeAMAwxORmiWbd/k20HYjGNSkXBdTUmJroLttfXjcZWZ997zdJSHKWShVdeKbYcUbe3Z86lu24IpYCZGf9YDeTSaRvPn8dw6VIZV68e72x7O8Lw9K9Jzh56kwvdyYXuZEJvcqE7mdCbXPrhjsF6D7Crnd1qZ/Ol0zZ8X0EpDcBCKhVgerq70u8oKz03551qNvm4PHoUQz5v48aNcss56NEc+XjcZNBNNr37SoBSCVhaSmJqyj/Tkvdm7sjgQ29yoTu50J1M6E0udCcTepNLP9wNQIg3/NQK3dkxs9J9H3BdjenpEK7bXel3Pm9hd3dwmsetrLjIZBxcvlzGtWutu66vrzuwLCCRCFEqWceuBHjwII4wVD05l84fpDKhN7nQnVzoTib0Jhe6kwm9yaUf7his9wDXdZHLWUinPVQqQCKhsbjodz1KrVIxWelUKhiIc+mrqw42N10sLlZw6VLrwDnaoIg624+OBpic7L6B3MqKg0zGxY0bRaRSJ1l557jV2nzOxJQFvcmF7uRCdzKhN7nQnUzoTS79cMdgvQd4nodczoZta1y54nedTdYaWFtz4bp6IIL0rS0Lz5/HMDvbvgS9WFTY2XEwMRHA8zSKRetY689kLKysxHHu3MlHsXULdz9lQm9yoTu50J1M6E0udCcTepMLM+tDiuu6uHgRKJVal4i3Ip124PtqIJrH5XIWnjyJY2rKx+3bpZbPC0OzuZBMhhgfD5DL2ZiZ8bpuIBeNfRsbC/o2io27nzKhN7nQnVzoTib0Jhe6kwm9yYWZ9SHlOLsw2ayFQsHGzIyPWKz7kvHTpFAAlpeTGB09OmiOGuedO+dhfd2FZYXHmve+tBRDuWy1HfvWC7j7KRN6kwvdyYXuZEJvcqE7mdCbXJhZH1K62YWJSsfHxvp/Lj3KbMdi4ZFB+u6uhXzebC4UixY2NtxjVQOsrjrY2HBx/XoZo6P9H23B3U+Z0Jtc6E4udCcTepML3cmE3uTCzPqQ0skuTBAAGxsu4vGw70F6GAL37ycA4MjMtucppNMORkYCzM76SKcdjI8HXWfT83kL774bx+yshzt3+lPy3gzufsqE3uRCd3KhO5nQm1zoTib0Jhdm1oeUo3Zh1tcdaI2BOJe+tBRHqWTh5s1i29ntWpt1Ow5w/ryHrS0z873bjYYwBO7eTSAeDwcqSI/g7qdM6E0udCcXupMJvcmF7mRCb3JhZn1IabULk8mYkWZzc903XzttHj+OYXfXxo0bZaRS7cvPd3ZslEpm3eWywuqqi+lpH/F4d2frHz0y3/PWrfYbA/2Eu58yoTe50J1c6E4m9CYXupMJvcmFmfUh5fAuzN6ehWzWxuSkj6mp/u6qRbPLL18u4+rV9t3qCwWFXM7B+LiPiYkAGxsOYrHux8ml0zaeP4/h0qUyrl3rvkN+L+Hup0zoTS50Jxe6kwm9yYXuZEJvcmFmfUjxfR+AOd+9uekglQqxuNjfXbWNDQdra25Hs8uj8/TJpOnsvrtrYX3dwdycB9vu/HuWSsDDh0lMT7efzz5IRO6ILOhNLnQnF7qTCb3Jhe5kQm9y6Yc7Bus9wLZtpNM2isVK34P0TMbCykocMzNHB+lANOfdnKcPQ2B11cXoaPcN5B48iCMM1UCeS2+HXd2N4A9WWdCbXOhOLnQnE3qTC93JhN7k0g93DNZ7QBiGmJ4O4Xn9uykLBQvLy3GMjR09Kx0wo9j29mxMT5s575mMjUpFdV3yvrLiYHvbxYsvHn0WfhAJQ3lrJvQmGbqTC93JhN7kQncyoTe59MMdg/UeoPrY4r1SAR48SCKR6CxIr1QUtrac/ex51EDOnK/vvIFcLmfh8eM4zp0brFFs3dJPd+T40Jtc6E4udCcTepML3cmE3uTSD3cM1oeUaCSabR89Kz1ifd2BbWM/e76x4cCyumsgF4bA228nkUoFooN0QgghhBBCCOknDNZ7gNbdjTQ7KUtLcZTLCq++WupoJFo2a6NQMKPYHMd0q8/lbMzOdjdSTsIotm7ptTtyOtCbXOhOLnQnE3qTC93JhN7k0g93QxJSDTZWJ2ntU+DRoxj29ixcv15CKnX080slhUzGwfh4gPPnPWhtGsilUmFX2fR02sazZzFcvjz4o9i6pVfuyOlCb3KhO7nQnUzoTS50JxN6k0s/3DFY7wFnPYtvZcXBzo6DS5cquHbt6MYHWgNray5isYOgPJu1UCjYOHfOQ6fHMWpHsQ1ryTtnYMqE3uRCd3KhO5nQm1zoTib0Jpd+uGOw3gOcak34abf5X193sL7uYnGxgkuXSh39nUzGRrlsYWHBg2UBvg9sbroYGwu6yqY/eBBHEMgbxdYtZ+WOnC30Jhe6kwvdyYTe5EJ3MqE3ufTDHYP1HuB5pztbvdtZ6QBQKCjkcg4mJnxMTZldoe1tG57X3Tg26aPYuuW03ZHeQG9yoTu50J1M6E0udCcTepNLP9wxWO8BbrVL20lLJ6JZ6RMTnY1hA0x39rU1cw793DnzASuXzXi2qSkf09OdNUoYllFs3XJa7khvoTe50J1c6E4m9CYXupMJvcmlH+4YrPeAk+7C+D5w924SyWTYcZAOAFtbB5nz6Bz65qYDpTQWFztb0wd9FBt3P2VCb3KhO7nQnUzoTS50JxN6kwsz60PKcXdhwhC4fz8BALh9u7NZ6QCQz1vI521MTfmIx03mvFCwsLNjY27Oh+t2lk1/9CiGfN7GzZvDM4qtW7j7KRN6kwvdyYXuZEJvcqE7mdCbXJhZH1KOswuztBRDqWTjlVeKiMU6/T5AOu0ilQr2S96jzu/JZNhxNn2YR7F1C3c/ZUJvcqE7udCdTOhNLnQnE3qTCzPrQ0o3uzBPn8aQzdq4dq2M0dHOA+WNDaOytllcLmcy7OfOeR1l5SsVU24/Pf3BLHlvBnc/ZUJvcqE7udCdTOhNLnQnE3qTCzPrQ0onuzDPnjnY2nJx4UIZV650HqTnchb29mzMzh6UtwcBsL5uxrF1mk1fWoqjXDaj2Dott/8gwN1PmdCbXOhOLnQnE3qTC93JhN7kwsz6kNJuFyadtvH8eQxzc52PYQMAz1NIpx2MjtbPR9/etlGp1DeVa8fqqoONDRfXr5cxOjr8o9i6hbufMqE3udCdXOhOJvQmF7qTCb3JhZn1IcX3/YbHolFo09N+V0E6YErelaovea9UTPA+OdnZOLZCwcI778QxO/vBGsXWLc3ckcGH3uRCd3KhO5nQm1zoTib0Jpd+uGOw3gNs2wZgBJdKwNJSEolE9+fCs1kLhYKNuTmvrjv75qb5Q6cl73fvJmDbmkF6B9S6I3KgN7nQnVzoTib0Jhe6kwm9yaUf7his94AwDBGGwJtvJuE4uutMeqWisLXlYGysvuS9UFDIZBzMzfmIxY7Opq+suNjedvDyy0UkEl2/jA8kYcijARKhN7nQnVzoTib0Jhe6kwm9yaUf7his9wClFJ48cXHz5l7X88rX1x3Ydn3JOwCsrTmIxTQuXDg6m76zY+Hp0zjOn2fJe7eoTg7+k4GD3uRCd3KhO5nQm1zoTib0Jpd+uGOw3iOuX/dQ6WJkeauS93zeQi5nY37eOzLwD0PgrbeSGBnhKDZCCCGEEEIIkQSD9R6g9dEl6hGtSt61BlZXXYyMhB2dTX/0KIbdXRu3b3MU20noxh0ZHOhNLnQnF7qTCb3Jhe5kQm9y6Yc7Bus9wOowWm5V8p7NmlnqnYxjS6dtPHsWw+XLZVy71kUqnzSlU3dksKA3udCdXOhOJvQmF7qTCb3JpR/uGKz3gKNm8WWzNgoFC/PzHqpNBqt/D1hbczE+HhyZTa9UgPv3k5icZMn7acIZmDKhN7nQnVzoTib0Jhe6kwm9yaUf7his9wCnerj8cJv/cllhe9vB+HjQkE3PZGyUywqLi0dn05eW4vA8xZL3M6CVOzLY0Jtc6E4udCcTepML3cmE3uTSD3cM1nuA59UH4lqbknfH0Q1BuucpbG46mJwMMDXVfvdmddXBxoaL69fLGB3lGIiz4LA7IgN6kwvdyYXuZEJvcqE7mdCbXPrh7szysEqpX1ZKbSil3q55bFop9TtKqXeqv05VH1dKqb+vlFpWSr2plPq2s1pXP3BdF67rAjAl72trLubmfMzO1gfj6bSNTMbG4qKHVKp18F0oWPjWt5IIQ+DOnSID9TOk1h2RA73Jhe7kQncyoTe50J1M6E0u/XB3lkXTnwPwvYce+1sAfldr/SKA363+GQC+D8CL1f8+C+AfnuG6eo7necjnfayuuvvZ9Nqz6aWSwuqqi9HREPPz7csq7t1L4L33XNy5U8SFCyyfOWs8z+MOqEDoTS50Jxe6kwm9yYXuZEJvcumHuzMrg9daf1Ep9cKhhz8D4BPV3/9jAL8H4G9WH/8Vbfrhv6GUmlRKnddar57V+nqJ67oolRTOn29s/Lax4cCyGsvhD7Oy4mB728WLLxaRSp3VSslhot0zNgORBb3Jhe7kQncyoTe50J1M6E0u/XDX6zPrCzUB+BqAhervLwBYqXne+9XH2gbrlmXBcRzYto0wDKGqndi01rAsC0EQwHEceJ4H13WP/DUIAliWtT9DTymFMAxh23bH1/B9v+l6JiYsVCrO/noqlRg2N0MsLioo5cF1E02vsbtr4913XZw75+PGjRBB4AzMa+rmPT6Na/TjNUXXTCQSQ/OahtHT4b9b621YXtMwemp2jejvxWKxoXlNw+ip2TW01vv/Jg/LaxpGT4evEYYhXNdt6U3iaxpGT0f9Wzcsr2kYPR1+TUopaK0Ri8WG5jUNo6dmr8myLPi+3zQuOMl62tG3BnNaa62U6nqyvFLqszCl8lhcXDz1dZ0FruvCsixUKhVobRrDjY4qXLjgV6U2/p0wBN58M454HHj99XL1w8JW773GcRxorRGG7AsgCXqTi+u6UEox4yAQx3H2O+USOdCbXCJv/Hkpi+j/USqVSr+XQrrEcZye/z+KinYMzuTipgz+X2utX6v++SGAT2itV5VS5wH8ntb6ZaXUP6r+/lcPP6/d9W/duqU///nPn9n6Twu7ekB9Z0djd9fGwkL9mfXDPH0aw86OjVdfLSIW69EiSVMid/yHUBb0Jhe6kwvdyYTe5EJ3MqE3uZyVu9u3b39Na/0dzb7W61TtFwD8WPX3PwbgX9U8/qPVrvAfBZAdlvPqgMkUZbMJhCGwuNg6UN/ZMV3eR0YC3LnDQH0QcF127JQIvcmF7uRCdzKhN7nQnUzoTS79cHdmdU9KqV+FaSY3q5R6H8DPAfh5AL+mlPpJAE8B/Nnq038TwPcDWAZQAPATZ7WufuB5HiYmPARB85LcMATeeiuJsTETpJPBwWt2RoEMPPQmF7qTC93JhN7kQncyoTe59MPdWXaD//MtvvTpJs/VAH76rNbSb6IdmGYlE48fx7C7a+P27SIsHkkfONq5I4MLvcmF7uRCdzKhN7nQnUzoTS79cMeOIj2gmdCtLQvvvx/H5ctlXL3KBhODCn+QyoTe5EJ3cqE7mdCbXOhOJvQml364Y7DeA6yalLnvA3fvJjE+zpJ3CVgsdxAJvcmF7uRCdzKhN7nQnUzoTS79cMdgvQdEHfeXl2MoFi2WvAviLKclkLOD3uRCd3KhO5nQm1zoTib0Jpd+uGOw3iPeeSeG+fkCxsc595kQQgghhBBCSHsYrPcApRReeslDucxAXRpKqX4vgRwDepML3cmF7mRCb3KhO5nQm1z64Y7Beg8IQwbpUqE7mdCbXOhOLnQnE3qTC93JhN7k0g93PDndA2zbhm3b/V4GOQZ0JxN6kwvdyYXuZEJvcqE7mdCbXPrhjpn1HuB5Xr+XQI4J3cmE3uRCd3KhO5nQm1zoTib0Jpd+uGOw3gNc1wXAuYoSoTuZ0Jtc6E4udCcTepML3cmE3uTSD3cM1nsAd9DkQncyoTe50J1c6E4m9CYXupMJvcmFmfUhhTtocqE7mdCbXOhOLnQnE3qTC93JhN7kwsz6kMIdNLnQnUzoTS50Jxe6kwm9yYXuZEJvcmFmfUjhDppc6E4m9CYXupML3cmE3uRCdzKhN7kwsz6kcAdNLnQnE3qTC93Jhe5kQm9yoTuZ0JtcmFkfUriDJhe6kwm9yYXu5EJ3MqE3udCdTOhNLsysDyncQZML3cmE3uRCd3KhO5nQm1zoTib0Jhdm1ocU7qDJhe5kQm9yoTu50J1M6E0udCcTepMLM+tDiu/7/V4COSZ0JxN6kwvdyYXuZEJvcqE7mdCbXPrhzur5d/wAYts2bNvu9zLIMaA7mdCbXOhOLnQnE3qTC93JhN7k0g93zKz3gDAM+70EckzoTib0Jhe6kwvdyYTe5EJ3MqE3ufTDHYP1HqCU6vcSyDGhO5nQm1zoTi50JxN6kwvdyYTe5NIPdyyDJ4QQQgghhBBCBgxm1nuA1rrfSyDHhO5kQm9yoTu50J1M6E0udCcTepNLP9wxWO8BlsUCBqnQnUzoTS50Jxe6kwm9yYXuZEJvcumHOwbrPYBzFOVCdzKhN7nQnVzoTib0Jhe6kwm9yaUf7ri10wMcx4HjcF9EInQnE3qTC93Jhe5kQm9yoTuZ0Jtc+uFOST43oZTaBPC03+vokFkA6X4vghwLupMJvcmF7uRCdzKhN7nQnUzoTS5n4e6K1nqu2RdEB+uSUEp9VWv9Hf1eB+keupMJvcmF7uRCdzKhN7nQnUzoTS69dscyeEIIIYQQQgghZMBgsE4IIYQQQgghhAwYDNZ7x//V7wWQY0N3MqE3udCdXOhOJvQmF7qTCb3JpafueGadEEIIIYQQQggZMJhZJ4QQQgghhBBCBgwG62eEUup/UUo9UEq9qZT6DaXUZIvnfa9S6qFSalkp9bd6vEzSBKXUn1FK3VVKhUqplt0elVJPlFJvKaW+qZT6ai/XSBrpwhvvuQFDKTWtlPodpdQ71V+nWjwvqN5v31RKfaHX6ySGo+4hpVRcKfX56te/rJR6oQ/LJE3owN2PK6U2a+6zv9yPdZJ6lFK/rJTaUEq93eLrSin196te31RKfVuv10ga6cDbJ5RS2Zr77b/v9RpJc5RSl5RS/59S6l71/y3/6ybP6cl9x2D97PgdAK9prT8EYAnAzxx+glLKBvC/A/g+ADcB/Hml1M2erpI0420APwzgix0895Na6w9z/MZAcKQ33nMDy98C8Lta6xcB/G71z80oVu+3D2utf7B3yyMRHd5DPwkgo7W+AeB/BfB3e7tK0owufv59vuY++8WeLpK04nMAvrfN178PwIvV/z4L4B/2YE3kaD6H9t4A4Es199vf7sGaSGf4AP5brfVNAB8F8NNNfl725L5jsH5GaK3/ndbar/7xDQAXmzztOwEsa60faa0rAP45gM/0ao2kOVrr+1rrh/1eB+mODr3xnhtMPgPgH1d//48B/Mn+LYUcQSf3UK3PXwfwaaWU6uEaSXP4808oWusvAthu85TPAPgVbXgDwKRS6nxvVkda0YE3MqBorVe11l+v/n4XwH0AFw49rSf3HYP13vCXAPxWk8cvAFip+fP7aPwgkMFFA/h3SqmvKaU+2+/FkI7gPTeYLGitV6u/XwOw0OJ5CaXUV5VSbyil/mRvlkYO0ck9tP+c6qZ1FsBMT1ZH2tHpz78/VS3p/HWl1KXeLI2cEP7bJpePKaW+pZT6LaXUrX4vhjRSPcr1OoAvH/pST+4757Qv+EFCKfXvAZxr8qWf1Vr/q+pzfhamlOKf9nJtpD2duOuA79ZaP1NKzQP4HaXUg+ouKjkjTskb6QPt3NX+QWutlVKtxpRcqd5z1wD8B6XUW1rrd097rYR8gPl/Afyq1rqslPorMBUSn+rzmggZVr4O8+9aXin1/QD+H5iSajIgKKVGAfwLAH9Na53rxxoYrJ8ArfV/1u7rSqkfB/ADAD6tm8/Iewagdtf6YvUxcsYc5a7Dazyr/rqhlPoNmBJDButnyCl44z3XJ9q5U0qtK6XOa61XqyVkGy2uEd1zj5RSvwez081gvbd0cg9Fz3lfKeUAmACw1ZvlkTYc6U5rXevpFwH8zz1YFzk5/LdNILXBn9b6N5VS/4dSalZrne7nuohBKeXCBOr/VGv9L5s8pSf3Hcvgzwil1PcC+BsAflBrXWjxtK8AeFEpdVUpFQPwIwDY4VgASqkRpdRY9HsA/zlMgzMy2PCeG0y+AODHqr//MQANVRJKqSmlVLz6+1kA3wXgXs9WSCI6uYdqff5pAP+hxYY16S1Hujt03vIHYc5pksHnCwB+tNqd+qMAsjVHi8iAopQ6F/XzUEp9J0xcxo3NAaDq5ZcA3Nda/70WT+vJfcfM+tnxCwDiMOXRAPCG1vqnlFKLAH5Ra/39WmtfKfVfAvhtADaAX9Za3+3fkgkAKKV+CMA/ADAH4N8opb6ptf6eWncwZ2p/o+rWAfDPtNb/tm+LJh154z03sPw8gF9TSv0kgKcA/iwAKDOC76e01n8ZwKsA/pFSKoT5H5qf11ozWO8xre4hpdTfBvBVrfUXYP4H5/9WSi3DNFf6kf6tmER06O6vKqV+EOb43jaAH+/bgsk+SqlfBfAJALNKqfcB/BwAFwC01v8ngN8E8P0AlgEUAPxEf1ZKaunA258G8F8opXwARQA/wo3NgeG7APxFAG8ppb5Zfey/A3AZ6O19p/iZIIQQQgghhBBCBguWwRNCCCGEEEIIIQMGg3VCCCGEEEIIIWTAYLBOCCGEEEIIIYQMGAzWCSGEEEIIIYSQAYPBOiGEEEIIIYQQMmBwdBshhBDyAUMpFQB4C+b/A+4D+DGtdaG/qyKEEEJILcysE0IIIR88ilrrD2utXwNQAfBT/V4QIYQQQuphsE4IIYR8sPkSgBtKqRGl1C8rpf5QKfUNpdRnAEApdav62DeVUm8qpV6sPv7fKKXerv731/r5AgghhJBhRGmt+70GQgghhPQQpVReaz2qlHIA/AsA/xbAJQD3tNb/RCk1CeAPAbwO4OcBvKG1/qdKqRgAG8BNAJ8D8FEACsCXAfwFrfU3ev5iCCGEkCGFZ9YJIYSQDx5JpdQ3q7//EoBfAvAHAH5QKfXXq48nAFwG8J8A/KxS6iKAf6m1fkcp9d0AfkNrvQcASql/CeCPAmCwTgghhJwSDNYJIYSQDx5FrfWHax9QSikAf0pr/fDQc+8rpb4M4I8D+E2l1F/p0RoJIYSQDzQ8s04IIYQQAPhtAP9VNWiHUur16q/XADzSWv99AP8KwIdgsvF/UimVUkqNAPih6mOEEEIIOSWYWSeEEEIIAPyPAP43AG8qpSwAjwH8AIA/C+AvKqU8AGsA/iet9bZS6nMw59oB4Bd5Xp0QQgg5XdhgjhBCCCGEEEIIGTBYBk8IIYQQQgghhAwYDNYJIYQQQgghhJABg8E6IYQQQgghhBAyYDBYJ4QQQgghhBBCBgwG64QQQgghhBBCyIDBYJ0QQgghhBBCCBkwGKwTQgghhBBCCCEDBoN1QgghhBBCCCFkwPj/AcYZtuZ7a+TLAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -2861,10 +2818,25 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_u0prnceo/model_spl2vxne.stan', line 17, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_u0prnceo/model_spl2vxne.stan', line 17, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_41r8c22v/model_jj6jc5qn.stan', line 17, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_41r8c22v/model_jj6jc5qn.stan', line 17, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", @@ -2873,24 +2845,32 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 0.000109 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.09 seconds.\n", + " Gradient evaluation took 8.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_7rsptbho/model_spl2vxne.stan', line 21, column 8 to column 72)\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_2xs9kt0s/model_jj6jc5qn.stan', line 21, column 8 to column 72)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 0.000121 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.21 seconds.\n", + " Gradient evaluation took 0.000124 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.24 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.99 seconds.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_2xs9kt0s/model_jj6jc5qn.stan', line 21, column 8 to column 72)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000131 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.31 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 0.000139 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.39 seconds.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_2xs9kt0s/model_jj6jc5qn.stan', line 21, column 8 to column 72)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 9.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.93 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_7rsptbho/model_spl2vxne.stan', line 21, column 8 to column 72)\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_2xs9kt0s/model_jj6jc5qn.stan', line 21, column 8 to column 72)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] @@ -2961,7 +2941,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -3127,48 +3107,53 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_4mf0sa6j/model_4zl6w5e2.stan', line 20, column 4: Parameter beta_1 is given a lognormal distribution, which has strictly positive support, but beta_1 was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_4mf0sa6j/model_4zl6w5e2.stan', line 19, column 24: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_4mf0sa6j/model_4zl6w5e2.stan', line 19, column 19: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan_b6eq8ask/model_rmzvbf4t.stan', line 20, column 4: Parameter\n", + " beta_1 is given a lognormal distribution, which has strictly positive\n", + " support, but beta_1 was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_b6eq8ask/model_rmzvbf4t.stan', line 19, column 24: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_b6eq8ask/model_rmzvbf4t.stan', line 19, column 19: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 58% (4600/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 79% (6300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 18% (1400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 42% (3400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 62% (5000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 81% (6500/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 0.000117 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.17 seconds.\n", + " Gradient evaluation took 0.000116 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000139 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.39 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000133 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.33 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -1.16155, but must be nonnegative! (in '/tmp/httpstan_32fcy6zp/model_4zl6w5e2.stan', line 20, column 4 to column 29)\n", + " Exception: lognormal_lpdf: Random variable is -10.0443, but must be nonnegative! (in '/tmp/httpstan_c66ej6n3/model_rmzvbf4t.stan', line 20, column 4 to column 29)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_32fcy6zp/model_4zl6w5e2.stan', line 20, column 4 to column 29)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.692987, but must be nonnegative! (in '/tmp/httpstan_32fcy6zp/model_4zl6w5e2.stan', line 20, column 4 to column 29)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.51452, but must be nonnegative! (in '/tmp/httpstan_32fcy6zp/model_4zl6w5e2.stan', line 20, column 4 to column 29)\n", - " Gradient evaluation took 0.000156 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.56 seconds.\n", - " Adjust your expectations accordingly!\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_32fcy6zp/model_4zl6w5e2.stan', line 20, column 4 to column 29)\n", - " Gradient evaluation took 0.000175 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.75 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 0.000113 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 1.13 seconds.\n", + " Gradient evaluation took 0.000121 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.21 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -3244,7 +3229,7 @@ "outputs": [ { "data": { - "image/png": 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3SqtwoHQKD0qr8KC0Cg9Kq/CgtAoPSqvwsFVaKc/6DkUVqggPSqtwoHQKD0qr8KC0Cg9Kq/CgtAoPSqvwsFVaKWN9hyKE2OopKBpEaRUOlE7hQWkVHpRW4UFpFR6UVuFBaRUetkorFQavUCgUCoVCoVAoFArFNkN51ncoUsqtnoKiQZRW4UDpFB6UVuFBaRUelFbhQWkVHpRW4WGrtFLG+g5F01TQRFhQWoUDpVN4UFqFB6VVeFBahQelVXhQWoWHrdJKGes7FNWvMTworcKB0ik8KK3Cg9IqPCitwoPSKjworcLDVmmlHufsUAzDwDDUs5gwoLQKB0qn8KC0Cg9Kq/CgtAoPSqvwoLQKD1ullTo7diiO42z1FBQNorQKB0qn8KC0Cg9Kq/CgtAoPSqvwoLQKD1ullTLWdyimaQIqvCYMKK3CgdIpPCitwoPSKjworcKD0io8KK3Cw1ZppYz1HYp6UhcelFbhQOkUHpRW4UFpFR6UVuFBaRUelFbhQXnWFRuKelIXHpRW4UDpFB6UVuFBaRUelFbhQWkVHpRW4UF51hUbinpSFx6UVuFA6RQelFbhQWkVHpRW4UFpFR6UVuFBedYVG4p6UhcelFbhQOkUHpRW4UFpFR6UVuFBaRUelFbhQXnWFRuKelIXHpRW4UDpFB6UVuFBaRUelFbhQWkVHpRW4UF51hUbinpSFx6UVuFA6RQelFbhQWkVHpRW4UFpFR6UVuFBedYVG4rruls9BUWDKK3CgdIpPCitwoPSKjworcKD0io8KK3Cw1ZppW3JXhWbjq7r6Lq+1dNQNIDSKhwoncKD0io8KK3Cg9IqPCitwoPSanMolTbexN0qrZRnfYfi+/5WT0HRIEqrcKB0Cg9Kq/CgtAoPSqvwoLQKD0qrjaVU0pid1Wlu3ngv+FZppYz1HYoQYqunoGgQpVU4UDqFB6VVeFBahQelVXhQWoUHpdXG4HkwPm4Si/ns2rU5heC2SqtNC4MXQvyyEGJcCPFe3WunhBDnhRBvCSFeF0I8UX1dCCH+lRDiqhDiHSHEI5s1L4VCoVAoFAqFQqFQhJ/JSYPJSYOuLofm5qD422aEwW8Vm3kkLwCfWfTaPwf+iZTyFPCPqv8H+AHgcPXnx4H/exPndV8gpURKudXTUDSA0iocKJ3Cg9IqPCitwoPSKjworcKD0mr95HIaIyMmTU0enZ0uQkChoDE0ZHLxYmTD97dVWm1aGLyU8jtCiH2LXwbS1d+bgFvV338Y+FUZrMB5IUSzEGKXlHJkpX1omoZhGOi6ju/7tfAEKSWapuF5HoZh4DgOpmmu+q/neWiaVhNCCIHv++i63vAYruve9Xw2YgxN02pFEHbKMe1EnRzHIRqN4vv+jjompVM4jmkn6mSaJrquI4SojbMTjmkn6uR5HpFIpHY8O+WYdqJOmqZhmmbtb4qdckw7UScpJZZlMc9OOaadqBOAZVlIKXfUMW22TsWiy+xslGi0wv79Oo7j4/smY2Nw9WqUiQmNvXud2tpu1DEZhlG7/230Ma3Evc5Z/5vA7wsh/gWBV/9s9fXdwGDd54aqr91hrAshfpzA+053d/dmzjXUeJ6n8mBCgu/7qr9mCFA6hYf5L1nF9sf3feVVCgnq/hce1N+A4cH3fVVkrkGkhJERHfDp7nZxHB8pdUZGDG7ejDA6KjBNGBrSsW3Bk09WNnT/W3UPFJv5JVn1rP+2lPLB6v//FfBHUsr/JoT408CPSyk/IYT4beDnpZTfrX7um8A/kFK+vtL4DzzwgHzxxRc3bf5hJhqNAlAul7d4JorVUFqFA6VTeFBahQelVXhQWoUHpdX6sAYGSJw/jzk+jtPRQfHMGeze3k3dp9KqMaandSoVjY4Oh/ln8ZOTOjduWIyMGOg6DAxYzM0JHn54jlJJ8EM/VNjQOWymVidPnnxDSvnYUu/da9fDF4H/Xv39N4Anqr8PAz11n9tTfU2xThzHwXE2pxqiYmNRWoUDpVN4UFqFB6VVeFBahQel1dqxBgZoeekltGIRp7MTrVik5aWXsAYGNnW/SquVKZUEo6Mm0ahPV1dgqOdyGu+9F+XVV+OMjelMTuq8/36U3t4KsZjPd76TpFTa+MiSrdLqXhvrt4CPVn//OHCl+vvXgL9YrQp/BphdLV9dsTKmaa6aA6HYHiitwoHSKTworcKD0io8KK3Cg9Jq7STOn8dNp/FTKRACP5XCTadJnD+/qftVWi2N58HIiIlta3R1OcRiknJZcPmyxblzcW7eNMnnBe+8EyeV8mludjl3LokQkqkpjXPnEhs+p63SatNy1oUQ/xX4GNAmhBgC/jHwV4F/KYQwgDLV3HPgd4DPAleBEvCXNmte9wvqKV14UFqFA6VTeFBahQelVXhQWoUHpdXaMcfHcTo7F7zmJ5OYY2Obul+l1Z1MThp4HnR1OQgRGO43b1pcuWJh2xqOI+nri9HZ6bB7t82bbybo7q5QKAj+6I+SPPxwiYcf3th8ddg6rTazGvyfXeatR5f4rAR+YrPmcj8y/+RHFYTZ/iitwoHSKTworcKD0io8KK3Cg9Jq7TgdHWiFQuBZr6IVCjgdHZu6X6XVbfJ5jWJRJ5NxMc2gptrIiMH770erfdN9+voixGIeu3eXuXgxQXt7Gdv2+e53k5w4McepU3OMjlpcvmzxAz+wsfPbKq3udTV4xT1CPakLD0qrcKB0Cg9Kq/CgtAoPSqvwoLRaO8UzZ2h56SVcAo+6Vihg5HJMP/vspu5XaQW2LZiaMkgkPLq6gvWYntZ5990YU1MakYjkxg0L14Xubpv3349TLoPve3z/+ykOHSrzAz+QY3TU4r33IvT3WzQ36xs+zx3nWVdsLepJXXhQWoUDpVN4UFqFB6VVeFBahQel1dqxe3uZfu65oBr82BhORwfTzz676dXg72etfB/Gx00Mw68Z6aWSxttvR5mY0IlGfcbGDGZndXbtKtPXl8C2BUJ4fP/7SQ4erPDZz+YYG7N4++0oAwMWjgNNTT6HD9sbPl/lWVdsKOpJXXhQWoUDpVN4UFqFB6VVeFBahQel1fqwe3s33ThfzP2olZQwNmYgBHR2BnnpjgPvvBNjZMTAsnwmJw1GR0127bLJ500cJ46mebzxRow9e2w+97nASH/zzRhDQya+D+m0TzLpMTlpcPWqteHzVp51xYZyPz+pCxtKq3CgdAoPSqvwoLQKD0qr8KC0Cg/3m1YTEwaeJ2r90qWE99+PMDBgYhiCXE7jxo0Y7e02c3OCwUELw/B5660Y3d0On/nMLBMTFq+/Hmd42ERKSVOTTzQqyWY1cjmTPXsc9uxxN3zuyrOu2FDuxyd1YUVpFQ6UTuFBaRUelFbhQWkVHpRW4eF+0Sqb1XEcjUzGwTRvG+m3bpm4LhSLOv39EeJxh3I5MNIty+PddxNkMg6f/GSObNbgzTeTDA0ZVSPdIxLxyWZNcjnYu9emUgmK1F29uvHHoDzrig3lfntSF2aUVuFA6RQelFbhQWkVHpRW4UFpFR52ulazszpzcxotLS6RSHCM9Ub63Jzg5s0IQkChIJiZsYjFfN57L0ZTk8vHP54jm9V54404o6MmUkI67WGaQRG6QkFn1y4bx9GZnDTI5QQzMzrt7WLDj0V51hUbyk696HciSqtwoHQKD0qr8KC0Cg9Kq/CgtAoPO1Wr+TZs6bRLU9O8kR7l1i2j6knXGBoKjO+pKQ3X1YjFHPr64sTjko98JM/srM6bb8YZHzfxPEkq5aFpgRfe9yUdHQ4gmJzUKRQ0ZmYMLAuam31SqY1f163SShnrOxRN07Z6CooGUVqFA6VTeFBahQelVXhQWoUHpVV42GlalUoauZy+oA3be+9FGRkx8X1JPq8zNGTgOBpTUzqaBqbpcu1aBMsyOHu2wOyszoULcSYnDXxfkkh4gM/cnAn4xGI+8bjH7KzG9LRJsagRifhkMh5zczqa5nPo0MaHrG+VVspY36FIKbd6CooGUVqFA6VTeFBahQelVXhQWoUHpVV42ClalcuCmRmDWMy/w0j3vMDTPjhoYNuC6WkD0wRd97h+PYqmGTzySJFCQefttxNMTup4XlDdPQiV1xACLMsjGvWpVDSuXo3iOALLcmlq8nEcQSzms2+fjZSi5s3fSLZKK2WsKxQKhUKhUCgUCoViTTiOIJsN2q3NG+nvvBNlfDyo+j4zozE8bFAqaczO6kSjEt+H69dNYjGdxx6bI5/XeO+9OFNTOgCxmIfrapRKAt8XWJYkHvcplzWuXYvi+xCL+ViWh5SCtjaXdNpD0zQSCR/LkhSLOydiQRnrOxQhNr6wgmJzUFqFA6VTeFBahQelVXhQWoUHpVV4CKtWngfj4yamKeuM9AhjY0ERtqkpnZERk6mpIHc9kfCoVAT9/SYdHR6PPVZkYsLirbcizMzoSCmJxSSuC+WyjuNALBbkqZdKgitXImiaIBYLDHTT9Ni1yycS8TEMSSQC0ajLyIiB4wh27bI3/Ji3SitlrO9QfN/f6ikoGkRpFQ6UTuFBaRUelFbhQWkVHpRW4SFsWkkJY2MGQkBXl4MQ8PbbUSYmgvzyeSN9fFynUtGIxz3m5mBgIEJ3t83ZswUGBmJ8//sJfD/wzEci4DhBKL3jCOJxn6amICf92rUoIEmlXBxHJxaTtLc7WBYYhiQW8/F9mJw08Dyd1laPri6X48fLG37sW6WVMtZ3KLoehJLcL/0bw4zSKhwoncKD0io8KK3Cg9IqPCitwkNYtJISxscNpBR0dARG+jvvxJiY0AGf8XGD0VGdW7dMHEcjkXCrFd8N9u61efzxEgMDUb7znSi6LnFdDdP0EUJSKmnYtkY6LWlpcRkfNxgZCSrFJxIujiNIJCSZTAXDkFiWTzQK+byoPTjo6amQSEh6ex00TbJnz8bnrG+VVspY36Fs94tecRulVThQOoUHpVV4UFqFB6VVeFBahYftrtW8Jx0E7e0OmhYY6ePjOpomGR83uHVLZ3jYxHU1olGPYlEwOhrh0CGbzk4YHjbo64ui6yAE2LZACJ9CQeC6gZGeybjcumVy61ZgmsZiHpomSKd9MhkXECSTQeu26WmdXE6g60HV90zGIZ32aWry2b3b4eTJMq678WuxVVopY32HYppBzshO7d+4k1BahQOlU3hQWoUHpVV4UFqFB6VVeNiuWnkeTEyYgKSz08X34a23YkxNGWiaZGJC5+ZNk+FhCykFhuFRKGhMTOgcOVKhWBTcuGFRKAAIDEPiOALfl1QqGpYlSKc9DAMGB01u3TIxDIlhBHnqsZhPe7tfy103DMnEhImuSzIZj1TKZ//+MroOHR0+R46U2bXL5YMPIpw7FycW83nyybkNXZOt0koZ6zuU7f6kTnEbpVU4UDqFB6VVeFBahQelVXhQWoWH7aZVUN096H/e2ekwNyc4fz5OPq9hmjA+rnHtmsn4uIWUoGmS2Vkd39c4cKDCzIzB++9H8X2J7wukFNi2wPOCBwDxuKCz06VQENy6FcF1JboOui5Jp12amjwSCUkk4iOlhmX5FAo6jiM4cKBMJCLYs6dCLAYdHS6PPVZifNxgcNDi6tUIiYRPe/vtHu8buzbKs67YQLbrkzrFnSitwoHSKTworcKD0io8KK3Cw3q0sgYGSJw/jzk+jtPRQfHMGeze3s2aoqLKdrmuKpWg/7lhSLq6XCYndb73vQSlEug6jI6a9PWZZLMGQgik9JmZMbAs2L27TC5n8tZbcYQIqrPbto7rBoXjhIBUShKN+kxOGszMRHEciEQ8IhGNRMKjs9PB9yGZlOi6JJfTMQwQQqOnx6az0yWZ9Glr8+judujpcbh6NcIrr8TRtMDbnkx67NnjUF3SDUd51hUbynZ7UqdYHqVVOFA6hQelVXhQWoUHpVV4WKtW1sAALS+9hJtO43R2ohUKtLz0EtPPPacM9k1mq6+ruTnB7KyOZQUt2G7cMHn//SSOI3FdweCgxXvvRSmXQQiJlEFht2hUY8+eClNTJu+9lwB8DMOjXNYpFiW+r2EYQcE43w96sdtzAsO1wfdpjZexYnG69knKZQ3DgHjcZXbWQEqdjg6bWAwOHqxgWYEX/ciROcbHLXI5nbff1kmnfXbtCgz0VGrzK7Urz7piQ9kuT+oUq6O0CgdKp/CgtAoPSqvwoLQKD2vVKnH+PG46jZ9KAeCnUrjV15Wxvrls1XVVLGrk8xrRqKS93eXy5QjvvBPD8yTFIvT3R7h0KUqlIohEJLYtsG2NeFzS1uYxOWly6ZKBlKDrHnNzBrlckLtuWYJEIgh1Hx21sG2BgYPplklHHVqTRSKajemNI8udWFYUKQXT0ya9vTaplEdHh0dLS+BJb2+3GRuz6OuLkUz6ZDIeLS0eu3YFVekXH1ehoOE4gj17Nta4Vp51xYay1U/qFI2jtAoHSqfwoLQKD0qr8KC0Cg9r1cocH8fp7Fzwmp9MYo6NbeS0FEtwr6+rfF6jWNSIx33SaY9Ll6JMT2voepCPfvFihNFRi1IpCE+3bQ3blqTTPrEYjIzoOI4OaPg+1fc1LAtSKR/ThNlZjZmZoO+6lJBKuSTtHF0tM2BqCAQxy6FcMhCTs2h7onR0uOzaFXjIOzqC3HUI8t3Hxkyamz1iMcnevTaWJRetIUxNGeRyWrXivCQel0sd/l2hPOuKDUU9AQ8PSqtwoHQKD0qr8KC0Cg9Kq/CwVq2cjg60QqHmWQfQCgWcjo5NmZ/iNvfqupqd1Zmb00gmPUzT5/LlCPm8hpQwPGzy7rtRZmZ0ymVBLBZUYS+VdNJpl1IpaM3mOGAYPuWygeuC7we90tNpD88T5PM6pVJgMIOkqcmnqcklnZboAzPEYxLH95FSULRjdLfO0uzNkno8TTrt09rqEYn4+L7AcQTxuCSV8unutmlpWRjmLiVMTgYGum0LYjGJZUmiUUks5pNOb3xYvPKsKzYU9QQ8PCitwoHSKTworcKD0io8KK3Cw1q1Kp45E+SsE3jUtUIBI5dj+tlnN2eCO4SNKMq32dfV9LROpRK0ScvlNN59N4ptC+bmBP39Fu++GyOf16qflkgpKJX0Wt/zyUkLKSWaBpWKRj6vo2k+hiFIJgNDPps1sW0BBIZyKuWTyTiAhmUFRrSZ9KmUNWIJn45kgY5EgbSWI9PsUtrlEokEBegMQ5JM+iQSPvv22XeEuc/O6kxPaxSLOtGoj6ZBa6u3aQZ6PcqzrthQ1BPw8KC0CgdKp/CgtAoPSqvwoLQKD2vVyu7tZfq55wLDc2wMp6OD6WefVfnqK2ANDJB54QX0qSk028a6epXopUtkn39+Teu2WdfV5KSO5wmSSY/xcYurV4NWa9mszsWLUa5ds8jlAk97pQLRaBA2rus+2azB5KSFEOC6Gq4LrguaBpEIGIZkbk4wNhbkrEsJTU0eLS0O8Tj4viCRAPDwfYHnCTr3pegcfY/mZo/mZhfLKWFV5jBPP0SkxSWVkhgG9PZW7ghhn5sTVS+6jqZJTFPS1uYSj/v3pLDcPMqzrthQXNfd6ikoGkRpFQ6UTuFBaRUelFbhQWkVHtajld3bq4zzNZB++WWsGzfwmprw0mlEpYJ14wbpl19m8ktfanictWi1miffdYPQcCEgFvMYHIxw6VJgdA8OBqHuo6MW+bwgpRewpst44w4dSZuhfDeublGpgKYFxeRcNzCaTVMQj3tUKhrFIjiOiZSBgZ9IOLS3+wgR9GHXdYmmeVQqOsmkT3e3Q2urRyqlE8vtJnqjn3Z7lES7hXz0BHJ3G21tDl1dC9fB82BkxGB62sD3IRYLDPREwieZvHcGej1bdQ9UxvoORQ8SRtSXawhQWoUDpVN4UFqFB6VVeFBahQel1eYTf/ddvKYmZDQKgIxG8aqvr4VGtVqpvd5M+37y+SBX3PMgmzXIZiMIIblyxeKdd+JMTASedk3zSYoy9kiJZLTMmGxhfFIgnRJ23EAaJq4r0TSBZYEQPnNzkM+b+D5IKUkmJc3NNsmkqP0fXFxXIISgo0OSycyRSMiaYd3UJGk/nML60MOY5kMkUx579zpAecFxTkzojI+bzM1pxOMe7e1Bf/WtMtDr2arrShnrOxTf3/qTWtEYSqtwoHQKD0qr8KC0Cg9Kq/CgtLoHzMd/L35tjTSq1VLt9cZKCea+fpHScweYmdHJ5XQcRzA1pXH5coS+PouJCRPT9JFSoutBqHlhtILtRhjPpUAIXN9ACBdvzkUkTaJRn0pFkM8LfF/HdQMvejrtksn4CEG1kJuH74PrClIp2LOnQizmE40GOe4tLR5dXQ66DvF4UPztwIHyHXnouZzG0JBJPq8Tifh0drqk00He+nZiq64rZazvUMTiK0GxbVFahQOlU3hQWoUHpVV4UFrdZr2FxTaiIFkjhF2re7VOd8PcQw+ReO01XCGQ0SiiXMbI5Sg+/viaxmlUq/n2er4UjOYDg71iCIo357j+QRTD8PngA4srV6LcuBGhUIBo1MeyfBxHEIl4TE9bOI5A5nUcLY4hXDwZeMcNXaA7DsW5OMWigeeBYQRGdnu7g6YJTBMSiSBf23UFIOjpsUkkfExTEI1Kmpo8OjtdYjGfRCJ4QHDkSAVNW3g8+bzG4KBJLqej69DdbbNvn0M8vr0M9Hq26rpSxrpCoVAoFAqFQtEAK4Ujr2RQrne7+42wrNPs5z6HMTGBPjWFPjuLb1lU9u1j9nOf25z9Ne8mNyKxYymKFYucHaWSc8iyi9fOR7l2LcLoaFAATdd94nHwPEG5LCiVBJOTEXw/MLB1zUL6Hq5uoONiewYl20SiIate85YWj1gMDMMjHgdd93BdDSk1mpo8du+u4HlBL/Z4XLJ/v42mSVpbA2P7yJEy1XpsNWZmNAYHLWZmgkrue/Y4HDhg14rbKZZGGes7FLmOUBzF1qC0CgdKp/CgtAoPSqvwoLQKWCoc2a2+vpIxud7t1kNYtbIGBmj/6lcxpqZw29qwDxzAbW3dtHW6G+zeXrLPP3/XEQCraTXf+9ze92HMS99l2ogg4xHevt7G9bEW3uU4JS+OpkksK+hRruuSXM5gbk7DcSRCaAghb0fumxG8YoWyowMW4BPBJd7qk24N2qfF48FPuRx4lC0LDh0q4ThB4TjLguPHS3ge7NoVeNv377+zkns2qzMwYFEoaCQSgYH+wAPlOzztYWCrritlrO9QtDBeBfcpSqtwoHQKD0qr8KC0Cg9Kq4D5cOR6/GQSc2xsU7ZbD2HUat6jPm+oi0qF+IULlE6fxm1p2ZR1uls2ooL+UlpJCWNjBq4rmJnR8TwoaPuYO5bi3W8VuTrUxOBcO8RimCmBqflomqRYrBr2tlkLY9d1ieeBlAIpg1x01zURmJg4xPUiLU0VrKYYkSaDRMLDtgVCBPM4eNBGiOABgGkKHn54DiGgvd0jEpF0d9u0tCwMXR8f1+nvj1CpCFIpj/37bVpawt/ycauuK2Ws71BUH9TwoLQKB0qn8KC0Cg9Kq/CgtApwOjrQCoWahxxAKxRwOjo2Zbv1EEat5iMP5g31+erq1vXr+EePbso6bYfaA/ValcuBcT49rWPbAtcFxxG8+WaMmzctLl1qw3FAiwi0mI9lSeZmPMr5MpWyhislRlxHGGCa4DhB2LptB+MYhlZt6xb0RU8kIBKJEI+baJrEtgMDvavLIZn08X1IJCSHD89hmpJEIiga197u0NGx8BwbGTG4di2C7wdjnzxZ3tb55+thq64rZazvUAwjkFa17dj+KK3CgdIpPCitwoPSKjworQKKZ84EOdUEnnGtUMDI5Zh+9tlN2W49hFGr+ciDyv79xC9cwAdkJIIxOYmxa9eGr9N2qT1gGAYzMxoTE4LxcYNIRJLPa8zMaLz5ZpyrV01GR008TxCJuBiGhudJCgVBpSRwCh6GbqAZEKOCN6fhRmKUXR3HCfah6xCJSNJpn3jcI5XyaxXaSyVRKyTX1lbBtjVaWjwOHapgWZJYTNLc7NHZeaeBPjBgMTAQJKa3trp86ENFqt3NdiRbdV0pY32H4sxfoYptj9IqHCidwoPSKjworcKD0irA7u1l+rnnAs/q2BhORwfTzz67qqG23u3WQxi1mo888DIZSqdPE+nvx8hmcVtbGzaE1+LxbrSGwOIx9Wx2Q2oPuC5MTprkchqFgoamBW3Xvv/9OIODJu+/H8N1JSDRdYhGHaanDVxXp1IJDHDDLhMxXKSmgdSZteM4CCjp6FXvejwOsZhHS4uHENDc7JHPBwXeDAOOHKlQqei0tbns21chkQharKVSPgcOVGhquu0dlxIuX44wPh6Yj93dDh/5SLHhYw47W3VdKWN9h2JWSzCGMRTqfkNpFQ6UTuFBaRUelFbhQWl1m/XmKm9EjnMjhFGr+sgDr7WVsmUFkQdrMNTX4vFupIbAUmOmzp0j/9RTUJfOsJbaA9PTOjMzOqOjRjXU3GRyUuP7309w9arB+LiJ72sYhk0kojE7G+SuVyo6UoJlBT+6LnFKUJIxHHRAYOASEZKoyGM0J2lpcdF1SKc9bDsoMgcaBw9WqFQ02to8Dhwo09Qka170EyfmSCRuF1IrlQRvvx3DdUU1h73CsWOVho51p7FV15Uy1ncoYXyqer+itAoHSqfwoLQKD0qr8KC0Cg9LabXde5ffbeTBWqvtN1JDYKkxnUyG6KVLFJ9+etnt7jg2WzAxoXPrloVhSIQI8sO/8Y0kQ0Mmly7FcBzwvMBgtm2PXM7CcTRcVxKJBMXiIhFJuSwol4O2bBBFxyMqPKK6g2m4NEfmiEQk1h6zlq+u67B3bwXX1Wltddm7t0JHh4dpBmOeOhVsM8/AgMXgoFl9OBC8H4uFs8PARqI864oNJYxPVe9XlFbhQOkUHpRW4UFpFR6UVuFhsVZh6V1+N5EHa62230gNgaXGrBw/TvK730XL51etPTA5GRjo+bygqcmjUoG33opy5YrF5csR5uZ0bFvDNH10XVIo6BQK1Cq5a5okmQyquReLgkJBACBE4F2PGB4xJ08y5hKNeiQpIzyXfLwLXRe0tDgYhqS52Wf3boc9e1xMM2jxdvr0HJZVXYui4OLFGIVCUO28u9vh7NliKNurbSbKs67YUNQT8PCgtAoHSqfwoLQKD0qr8KC0Cg+LtbqXPd63irVW22/Ek7/UmL5lUTh7Fj+RWHK7uTnB4KDF2JhBKuVh25LBwQgvvxzl2jWDbNbEtjUMw8M0JY4DpVLQng0kmgbRqETTfAoFnWJR1PZtWRCJgGlKkkmfSMQnoQn8mQp+RWKmIdadoi0D6XSFjg6HAwccDAMSCZ8HHigTjQb91m/cMJmcNCiXNaJRyaFDlR3RXm0zUZ51xYainoCHB6VVOFA6hQelVXhQWoWH+1Gr7R46vhz1WlkDA6S+9S0QAi+dxj5wALe1ddN6vC/HZq9lI57ypeYw/YUvrH3MRREJUsLo98eZ+vYN9JlpzPY4JQ5x7u0El4dT3CqlKOkRpKZjWT6uKymX9Wr/89vV2g1DkssJymUBBGXVI5HASDdNiEZ9EgkXywLfD4x4KxUh3WMQiwW56bt2ORw4kENKQTrtc+hQhWTSp1DQuH49wuyshucJurttTpyokEjsrPZqm8lW3QOFlOHNQXjggQfkiy++uNXT2Jbo1d4J99OXalhRWoUDpVN4UFqFB6VVeLjftKoPHV/JUNuOzGulX79Oy0svYfb3B7HTgF4uUzp9Gt808ROJFY3VjeJereVKDwTWO4eVxszlNPr6Itj9k+y/8Ltccfbx9sw+Ll5LcXOiibyRxtcsolqZSkXHsRJUPIEQgYE+/zM3J3Cc2/bYfBG5oKWaTyTioWkSwwi2bWrySKU8Eomgavu+fRV27w4+094etFlLJHwGBy0KBY3paZ14PAiFz2RcqjanYo1s5j3w5MmTb0gpH1vqPeVZ36Hcj0/Aw4rSKhwoncKD0io8KK3Cw/2m1b0MHd9or/O8VrHqMXjHjwe9y2MxvEiEyMWLOPv3b0qP93nqj8m8eROnq2vT13KlnPf16rl4TN+HSxcjTE4axGI+xaLg+h/O8uLA57me6yJXjuJWfCKU8VxwNUHRTwBgVDysuIGmQakUjBUQhL/H48EzlUTCxzSDMHfD0JAS2tp8YjGfZNInnfY4dqxCS4tLIiHJZDyamz1KJY2pKYO+vgiVikZnp0NXl8sDD5Tnn9Uo7gKVs67YUFzX3eopKBpEaRUOlE7hQWkVHpRW4eF+02qtBcsaZbFhbvf0kHz11Q0t/javVe0YhKj1LtdzOYBNjRBYXNAu9tZb6LkcfiKBl8kAG7OWa+Fu9bxxw2JoyMT3IZYdYfQ7WS5caefS7C6yuVM4WhRNuHi+hkRSIgUIDF8Q0T1AUPR0KN0eM8glD0LhA8McksnAgtc0SSYThL2n0x7ptMeDD1ZIp33SaZ/WVpdKRTA3p5HL6QwMWGQybrXau18bR7FxbNU9UBnrO5T5UI377cs1jCitwoHSKTworcKD0io83G9arVawrBFveCOGeeaFFygfPbqhXud5reqPwctkKGUyQRXzRGJTQ/kXe7Hdtja0XI5Ifz+lqrG+WruzjWatBegABgdNbt608DwwTZ9bt3Qu/JHHtbfaGK0cw/YMNN/F830838clAggELiZlJBZlIuAF5pYATAsSlo1v+yREEWSEaJOJNAzicY9YzKelxaO11SeT8ThypExbm0cy6eN5gkoFjFujZL/WR1NhlJ4eC/fJ0zzwdJfynm8yW3UPVMb6DsX31RO1sKC0CgdKp/CgtAoPSqvwcL9ptVLBskZaoS31mbZf+RXKR44sMMyF5wVVxffure37br3O81o1UnRtM1jsxbYPHCD+5pto2SxIec/mUU+jazEyYnD9uoXvCzTNZ2BA5+2341y/bnLrloVTtPE9EEhAUiaKxEPDx8DGw8St/gT4xIVD1LDxrDhRy0GfqxCPl9F0nXRsBsNzae6N07wnyq5dDocPO7S3O0ipUSoJPE/U2qp1lm7S8crvkGzXiRyIoBWyGN++zHTL9q+lEHa26h6ojPUdilCP10KD0iocKJ3Cg9IqPCitwsP9ptVKrb1aXnxx1fznpXKkcV2MsTHsOsPczWQwpqYW7Ptuvc7zWjXSngw2Pmd+sRfbbW2lfOQIxujoivNYL43Mf6W1GB83uHLFwnUFrguDgwbvvRfj0iWL6WkT2w7yy30fhCerHnSJQGDiUMHAx+C2v9UnZrpEhIvwfExTYqYs9JgkWZol3lQhHvHoSudIt+gcbJ7gUNMQlc88gxCCXE6nVNLRNGhuDrzqliVpafFoefFbaLt8/FSQB78T2/BtV7bqHqiMdYVCoVAoFAqFYhHLFSxrJP95qc+4mQxGNrvwtc5OjNnZIDx9E7zfKxVdg6UjAO42Z34pLza6zsSXv7wpxfkanX/9WmSzOh98EMW7AaWSYGTE4J13Yly6ZDI7a+I44HlBwTffp9oHXQARTFwcDCRQqXnQJZGIwLJA00DTLOJxA02TJJMeug4dHTY9t/rItMPRznFa4xWizXHyZQv3ZgkQWJbk8OEKAJmMi7HIUtusWgqK7Ysy1ncoYW7Jd7+htAoHSqfwoLQKD0qr8BAWre5Fb/RG8p+X+ozT2Yk+M7PAMEfXmfziF7EGBzfM67wWre6m6v1ya92IR3+jdFrL/KendS5dilAuB2Hlw8MGb76Z4No1k0JBqxnoug6uGxR+m0fTwPeDF5yq+aTjY+ISFRVEMopmmRiGJBr1SKUCQ3vPHoemJo/9+yt0dvrseuU65YLAt+LBuPgcTQ3jH7FxDtikUiuHWq8n916xMWzVPVAZ6zsUTdO2egqKBlFahQOlU3hQWoUHpVV4CINWm+ElXopG8p+X+ozQdbLPP7+kYV7csNmtTav1empXW+uVPPobqdNq85+Z0enrsygUdGZnNQYGdN54I8nAgEmlEhRsm/egz9tivs8dxdrm05V1HSImWF4BITQilodnREi1CqJRl5YWl+5um7Y2nz17HNJpl2gUHEeQSHjkjj7MI+/9N7xECi0ZpbsDjFKRySefxF7FUIetq0Og2Lp7oDLWdyj3Sx/UnYDSKhwoncKD0io8KK3CQxi0ule90RvxHK/0mY00zJdiLVqt11N7N2u9kTotNf/pccmVuUe58Y0kuZzGpUsmb7+d4NYtk0oFKpWFXnNY+f+GQS28XdeD/2tajKYmn2jUYM+ewEjv7bVpbfVIJiWGIUkkfAqFoN95PC7RdUnmdIrI6WeqUQXX8bSDFD7yEeyuroaOt9E6BIqNZ6vugcpY36EY1SSX+6XFSphRWoUDpVN4UFqFB6VVeAiDVuvxElsDA6Rffpn4u++ClMw99BCzn/vcksbPcqHb8683f+1rd4SDb4URtRat1uupvZvc6Y3Iu55f8+iVK+g3h+nf/TgfWCfJTQkmpnRei53l4rkM4+MGth0Y6I0iBERNie4VMYSGYfrYIk4y7dPUBMmkS2eny65dLrt3uyQSHl1dHqYpyec1UimflhYX04S2NvcOL339eRGNRoMXy+WG57dV59V24V6kuizFVt0DlbG+Q3EcZ6unoGgQpVU4UDqFB6VVeFBahYcwaLVWL7E1MEDmhRewbtzAa2oCKUm89hrGxATZ55+/I8d6qdDtwhNP3NE7fTNC79fCWrRar6f2bnKn7zbv2hoYIPIbL9Mv9tDPDzDuOwx8R+OC+wCDzh6yThNlV8N1BdBYnrGBg2UJMAwiuotXcjF1SXuySMyo0GFcp/10K13HY8TjkkOHKiQSPjMzBolEUPG9udnj+HGXtURLh+G62k7cq1SXpdgqrZSxvkMxzaA6ZRjC1u53lFbhQOkUHpRW4UFpFR7CoNVavcSJ8+fRp6bwmpqQVQ+nKwT61NQdIdnLhW43v/QS5ePHF7wup6dp/+pXcfbuXdIDv5xHcKM8ho1qtXh/M5//fMP7u5vcabunh8wLLyA8DzeTwe3sBF1fddvZWZ2xMZ3J/3eGq7c+w7V8F5cn2hjLpynMWVQwkNS7sZc31HXAoozQNUzdx/eCpPV0iyBdnqYtnWNfZ56OVJ6WWJkHU9dozkD/Az9ELBaMEYlIHnmkdEfF9rUQhutqO3GvUl2WYqu0Usb6DkU9qQsPSqtwoHQKD0qr8KC0Cg9h0GqtXmJzfBzNtvHS6dprMhpFn53FHB+/47NLhW5bY2OUHn+89pqezRLt60O4LqXHH2/YA7+UxzDzwgs47e1onrcm470Rre7WQ7lej7w1MEDy1VcpHz2KOTaGMTWFMTvL5Be/eMe2UsL4uMH4uMG770a5edPi2jWTW29/hGk3RdnRa5XZG8E0g3xzo1JGCg0PnbhRIRVz6EwU6I2NEnv6CA9e+RYHDpVJRR1cT0cKATKKPZbl5MkykUjDu1yVMFxX24mtbF2nPOuKDUU9qQsPSqtwoHQKD0qr8KC0Cg/1Wm1VzuhyLJ6P3dMTzHl8nMT58wBLzs/p6MC6ehVRqdQ863o2iz41RVRKWl58sXZsy4Vu21VDd/712HvvBYaDEMTfeAP7wAHcdHpJD3y9R3Cxx1BzHCI3bqBPTVE+dozEuXM0/9ZvUTh7dtmc+nkaua62ykNZv19n714AtHwea3CQImDbgokJgytXTC5cSDA5Kbh8OcLYmMXc3HzuebShfQkRFIQzzcDwlxIs3SGhF9itj7MrNUNHh8exAzl6rRHiTTruD3difq2INjeHLNmcnH2V1FwW3zQpHz3K5DKG+nqvCXUPXBtb2bpOedYVG4p6UhcelFbhQOkUHpRW4UFpFR7mtdrKnNGlWDwfa3CQ5q99jeIjj+D09Kw4v+KZM0QvXQpy1gn+6I8ODOC0tTF36hRasVjbdrmw75nnngs85oBm20QvX0ZaFpX9+xGVCvELFyidOnWHBx4WegQXewyt69dx02n02Vnib72FH4vhZDJELl+mxbZXXO9Grqu79VCu9zxYar8zRoah932+/V+buHIlytiYQV+fSbGoUyzebpvWCIYR/AgRtGTTNIhEoL3dYXdTnkOFdzjacouDM2/TYhbI6LOMypPgaJQf+SiZjEf7c70Lahn4pomRy2FOTGANDNxxfHdzTah74NrYytZ1yrOu2FDUk7rwoLQKB0qn8KC0Cg9Kq81lIz3g81rFtjBndCkWe4iN8XHcdDo45r17V5yf3dtL9vnna9XgzYkJKvv2UXrsMdzW1uBDdfnnvmUhymXMYnFB2LezezeJ8+dJvPYabjqNl8ngJ5MAeEDkgw/u8MDDQo/gYo+hns/jWxZauYzT3Hzb85/L4abTSx5P4tw5ml96iWhrK05rK9mTJymePbvkujXioVzp/FmvZ97p6EDmigxMpLj0vsnFyV0MVTq45B3m5rcyzM2JNVVuNyijYaCZGr4IKruZJiSTkn37KvT0OBw4YLPfGuLw13+VjDXCjN6N3dtCojRHLD/Ho84rTH7ly9i9GcDHburFbW9Hn5oK0iRSKYonTuCb5tLrvmgthG1j9vfT9XM/R/6ZZ1a87tQ9cG1sZes65VlXbCjqSV14UFqFA6VTeFBahQel1eax0R7wea3SW5gzuhSLPbV6Po+XTqPn87XXVpqf3dvL5Je+BEDHL/5iMFa115YxNUW0rw88r5Z/buRyd6zhfCstc3wc/6GHiL/1FqJcRlaTm81slvEvfanmgV/KI7jYY+ibJvrsLH40WhtHlMt4qdSSx5M4d46Of/2vcdNpKk1NaNev0/Gd7zAOSxrsq3koVzt/1uqZHxkxuHgxysjwn+L6N8aYmIxwze0h6zZRxsJHX3K7xeh64C3XtMDjLkQUy4JEwufQoTLd3Ta7d7scO1YhlfJJJn0iI8Pov/MdOuaGoK2ZY/IasXyB0unTuC2P4Y6N3XFNCM+j+NRTLOi7JuWSx1e/Fno2S/zCBfxYDIRYEJ2xZCqGugeuma1qXac864oNRT2pCw9Kq3CgdAoPSqvwoLTaPDY6J3leq63MGV2KxfPxUim0XG5B0bj1thSzrl/H1zT85mYQYtU1dDo60IpFSqdPE+nvD7zjpkn+7FmKZ8/WPPBLeQQXewwrR49iTEygT00hqq5mvVymdPz4ksfTXDWs/aYm9M5O6OzEzeVofumlJY311TyUq50/q50H2azOu+9GGRkx+eCDCBMTBjdvaoyPd1IpH26woVpA9dSrYRjQ0uKxf7/D3r02vb02hw7ZxOOSWEwSifgUChqtrcF9Zfe179F0cJao6yEqt5CxKJ4WDfQ9enTJc2Mt53n9ZyP9/YGhDnjV9VvpnFH3wPCgPOuKDUU9qQsPSqtwoHQKD0qr8KC02jwWe/si/f3ouRzAusLh57Xyqx5ZOT0dVPPOZsEwmPziFzf2ABpksYfY7eggPjRE8dAhkHJNOa2LxzImJ5GGQWX//tpnFnuP60PFpa5jTEzgJZMgJaJSQfc85k6dApb3CC7VQg2g6eWXsa5fxxobo7JnD6XHHqvlTy8+HmtsDHvXrmCO2SxasYgxPY155cqCQnn1rOShXM1zPr9WTE9jjI0xM2LzVuUBrj/xUd742XaGhy3GxwU3bkSoVILibo0y7z2HwHuu64FxfuCAw549Dg8+WKSjA9Jpj3g86HEuZdBKDcA0JT09t+8trbODOJ2dVPbvD7zegIxEMCYnMXbtWvLcWEtudP1n9VwO37LQKxVKx4/fsW6LUffA8KA864oNRT2pCw9Kq3CgdAoPSqvwoLTaPOa9fcK2a2G5vmUBrCscfl6rcm8v5d5e2v7jf0SrVHCbm6kcPUry1Vdxdu++5+Gpiz3E9p49FD70IazBwVVzWpfKya4fy21txenqwstkatvUe1eXChXX8nkiV68iLavWQzz9jW8Qe+utJVuwLdeyDYJ+5LnPfQ5rcJDI5csYExOUjxxZ8njszk60XC7wrEejmLOzyGIRJ5NZMhR7tXoGq3mWh2IHeLP5h5C/9T3OzX6EfreXW04bfb+6l6JcW28zDQ8DPwiFNzR0HdJpnyNHbA4csDl8uEx3t0cy6ZNIeESjEiFuR6hblqS5efl7yPyxeJlMLerByGZxW1uXvQ7Wkhtd/9l5SqdP1+oerBTZoe6B4WGrtBJyLY+6thkPPPCAfPHFF7d6GtuSWriaemK37VFahQOlU3hQWoWH+02re9nybN4INPv7a1aNXi5TOn0a3zTxEwmmv/CFhseb10pcvcqun/3ZIDy8qQlRLqOXy5QPH8bes2dNY95LlmrvNt/3fIHndJFBm3nhhVqhMeG6UC5jHzlC+cgR9GwWGY1ijo8Te+st9FwOUang7NrF7A//MBDkvSfOn8c3DLyWlgWRCMWzZ2l58UW0YnGBUZz47ncBKD79dO01LZ9fUbP6nHUzEkErlRA3b5L/2MeoHDy4YPv6BwQrHXv9Z24OWeQmJDcf/RSvDu9leNhi8p1x3h/pouQ31kptHkMDzXfw0RCALnxSxhxHT7rsO6HzYPswhybfJFUYJ9kdJfKRB5ht24c5NETsjTdJzYyQ3Jtc8fpZKuLB7umpHa81OIjb3o5YYw/71Whkbeu53+6BYWYztTp58uQbUsrHlnpPedZ3KNp8/JBi26O0CgdKp/CgtAoP95NW97rl2by3r+vnfg6EwEunKR0/Hnj7limUtRLzWsXPnwfXxW9rA0BGo3iAMTaGrHrutxtLrX3br/wK5SNHGs7p1+bmghD3dBqnrQ2tWCR17hyVvXtJvPkmfjSK19SENTxM9No1yteuUTl4MMiLNgyswUHKiQRuWxtaLkfmhRdwdu9eMtxcs+079r9aEb/i2bOME+SuG4UCbiZD6cABKgcP3rH9qvnoDrxfOIrxwBepvHaV8++3Mex2MqJ38/YfZiiV5ve6r6H1N4wgDF7Xb//bFJecbL7KvugYJw/N0P7UHrTeTg7Ia7T97teYjnbgt8bRSgVSv/U7tH74wdsPV3pTK14/S+kN1Cr5+3pQzM6PRmsG9UZdi2utVn4/3QPDzlZptWnGuhDil4EfBMallA/Wvf4V4CcIulm8LKX8+9XXfxL4K9XX/4aU8vc3a273A2GOmLjfUFqFA6VTeFBahYfN0Opeeq/XwkYXfGsEu7eX/DPP3OG5XU9BuHmtzPFx3EwGUanU2onJaBRjYoLSo4+ua54brdni8Yxs9o61x3Uxxsaw9+6tbbfYIG56+eXAq+44iHIZZ/duvHicyI0blB57DCeTIfHKK/ipFH48HoxhWWi+T+qb38S6eRPz1i1wXbxksrZeflMTxsQEifPnlww3x3HQp6dJfetbeKkUlf37kZa1qmbFaiG7tq9/HW1uDqfO6K/XfPEDgqlBm+xlG31ilCuX3uRblQ8xSzN9fW309z/GEs8OVkCiAWZE1PLUDQM6Olz27nU4ebLMsWMV2to8IpE4Bw/uplTqoVjUABftt97GTjbR2eYDBWgCLW8QfeklyseP46dStRoMxuQk7cPDTHz5y9i9vTXdU9/6Fn4kgnf8eK0woN3Tg59IMPmFL9Dy4ovIaHTJa5Hqv3dzLq6lWvm9/L7arvfGsLBVf1tspmf9BeCrwK/OvyCEeAb4YeBhKWVFCNFRff0E8GeAB4Bu4A+EEEeklCqBQ6FQKBQKRUPca+/1Wlhrq6uNYi2FshrB6egA2yba11cr1KXlckhdp3jmzJrH22jNlhovee4chaefxq/7nJvJBCHpdSzOR0+eO4eTyeCl01iDg+hzc8ieHuat18rx4yTPn8draQkKyrkuUgiE56EVi3ipFCZgTk4yVy02BoGH181kMMfHmfn85xfoYw4OYszMIC0L3zQRlQqJV17B3reP7PPPN7QGc6dPk/761/EqlTs0lxLe5wSVax5+PM61/giX39MYKO/iQv4I41facViLB9HDQKIDsmqox9OC1g7JgQM2jzxS5sSJCrGYz969NrGYJJvV8f0gNWNiwiCR8OnsdAHomLu25HVijY1RevzxBa3R3LY2jMlJWl56icITT9Q87/MJ7fELFyidPl3rez9/rS13LUYvX8YaGdmW94+7ZTvfGxUrs2nGupTyO0KIfYte/uvAz0spK9XPjFdf/2Hg16qv9wshrgJPAN9faR+apmEYBrqu4/s+opqTJaVE0zQ8z8MwDBzHwTTNVf/1PA9N02pPToQQ+L6PrusNj+G67l3PZyPG0DQNXddr2+2EY9qJOjmOQyQSqY2xU45J6RSOY9qJOpmmia7rtTF2yjHtRJ08z8OqC5veiGNqunoV2duL1toKpRJ6dzfe0BDNN2+SPXBgS3Xy9u/Hsixc20ZvbsabmcGwLNxolGg0umk6cfgwhR/7MWJvvkk0n8fu6qL03HN4bW1EGzymyOgoyRs30Ken8UwTPRLBffZZtKtXsUwT3/fJ/dW/infgwJJjLnVMxtAQTefOEf/t30a0t2OPj+M8/TR2PA579pB6+23sdBrrj/+YiJRUDIPKhz5EpbNzxXVpvnkTr6sLfc8emJlB7+7G7e8n7roUEgn0VAq/VMI/dQquXMG0LGQqBTMzmE1NTJ89SzQaJfH228hTp7AuXUJLpRDxOOzbhzE1hfv442ipFFo8jvP442i6DroePLw4eBB3eBitowNDCLyPfxzxve9hdHfjxePozc0wMID7xBOIcpmm/n6MaJTo2Bji+nWM6Wm8Rx6hkslgCIHo74dDh4KWdEePoi+jkzYwQOL994N0hCNHcD7yEcR77+HOeFx29uMd3Yv9P4foG4H3B05ybXoXF8c7yNlR3DUZ5wTGufARGmi+Sypq0xnPc/xQkac+4bH38Vba2hza2nxsWzA9LdA0nXI5guPoZDJlYrHF53FwDXDqFMbICKKrC79UQlgWIpfDPXUKKx7HHBhAPPggFIsYqRReKgUnTtDyB3+Ac+ZM8CDlkUcQQ0OIQ4eI5nJUjh1DzMzgHzuGZVn4hw9jSRlUb0+lateiLiX+iRNg25jVa5Q9e0i99x6FI0c25R5hWVZtrM28lyfefhvqjy2fh127SH/wAbnDh9X3UwPHZBhGbayNPqaVr7d7yxHgw0KInwHKwN+VUr4G7AbO131uqPraHQghfhz4cYDu7u7NnW2I8X1f5cGEBCll8AeVYlujdAoP6v4XHqSUGxpaaGSzOE1NiLrXZCKBMTW1YftYL6VHH6X1/Hm8SgWamhCFAkYkwuyTT276vp3du7G7uxf8kYjTWJEkc2iI9Le/jd/RgZtIQLkMBPm+Xnc39sGD5A4ehAMHGh/z1i2af+M3iExPI3wfaVlY165hvP023p49yH37iFy8SNTzqFQquLt3o42Okv7mN5n56Edx9+xZdmxjaopKIrHgtfLhw6QHB4Pc5WQSUSwidJ2ZH/1RzJERzGwWJ5kkf+YMdlsbJhC5dg1h22jlMlLXkZaFkc8jpqcpdXejFYvonsf0n/gTNH/963ipFL5lER0eBqD4+OOUk0n05mZ0IUjevIleKiHb27EPHMCYm0OfmoJMBrelBWt0FKlpuE1N+NEo1uAglQ99CHv3bvR0GnHlyvLrOTJC8vd+D7clwxV5gOL7EcQbE/R3Psu7xT3cvDTHpV+TDEw/StmLsNZvMk0Lep0L28EwJK0Jh66mWR7Ym+fzx97mYPMM7p/9NKlUnMlJH9f18DwYH9cxTUlnp4emyeq5t/JpMvfggySuXEEWi8G+i0W0QoHcJz9J4uJFjKkp/H37ENksWiTCXG8vxGKYExPYsRjYNs7u3USuXUMCej5fG6P41FMAlB55hOY/+qNgHZLJ2rXop9PI6hjzyFgMc2RkjSvWOPfqbwtjchJ5+PCCY/NjMYzq+apYnXqj+16yqdXgq571357PWRdCvAd8C/gbwOPAi8AB4BeB81LK/1z93H8AfldK+Zsrja+qwS9PtJoXVa5+qSq2L0qrcKB0Cg9Kq/Cw0VotVVl7tSra95Iw5ozOr6le9b45o6N3vaYtL75I4tw5EAJzbCyosg4gJZWDBykfPUr0gw9qOcrzNLLf5c4BUS7jVUPPG1n73X/v7wXGva5jZLNo5TJUKkjLovDsswvGSJw7R/NLL2GNjUGlQvnoUconTy7Yv1YNfY/29aHlchjj43jNzZSPHyfS34+oVAAwR0dxurqC5YhEKD322LLHPT2tMzpqkvz9r5OfllyZ283ITJqBUjdv32hhshBjzlvZa7cYAVg46LgITSNm+TS3S9r36JzRzvNnjr5CtCVKa7yEyM6Qe3sEzbYpnD1L6ZFHaEo6ZC6cu6tzfLnrxBoYoP2rXw2iG9rasA8cwG1tRcvn7zhfjKkpIhcvotk2+Y997I55LLWPxPnz9/z+ca++r7b7vTEMbKZW26ka/BDw32XwhOBVIYQPtAHDQE/d5/ZUX1OsE6fBp9uKrUdpFQ6UTuFBaRUeNlqrjc7P3mjWUnhqu1DL783na6/dba69OT6OZtt4TU24mQzW0BDSMBCuizE5ibFrF3619VU9jex32XNgjbm5flMTRi6HF4lg9/YGLerm5rB7ehj/ylcW7rNa2A1u5wZr+fwd+wewRkawd+8mUSjU8qpFpYLb1QVS4kejaHNz+LEYei6Hls9j5HIMP/UphgcsCgWNfF5jdNRgdFRnctLk4u99glvlFgqVKJU1/WkvMfAxsNERWBFIakV6vCF6e4r8iaeucSByiy73Fvk/8cMUSgbmf8/h6pJs1iV14RK7jSlKTz5BWhvF+q1/CwT94e8mL3q568Tu7WXiy19e2Bqtuj4zzz0X5KwT6O6bJs7+/Sv2UV/q9Xt9/7hX31fb/d4YBrbqb4t7baz/D+AZ4FtCiCOABUwCXwP+ixDiFwgKzB0GXr3Hc9tRzOc/eJ6q0bfdUVqFA6VTeFBahYeN1mqtbZMUqzNfrVyvph761ZDitVaTXzymdfUqolzGTyax9+zBGB1F8zzc1taahourpDey3406B8qHD+PHYkT6+zEvXw7m3dYWtL5b5/5bXnyxVpXeS6cRlQp+LIY5O4uoeuvczk6KvQeZeXuM6VKCm6MnubXrIUbPdTE5aXDjhsmVKxHyeY1qRzIgtex8FqNhE8ElgkfMcGlpsem1Rvlc03d46ESBI7kLaN1t5LoPMDMXw5NJRoq78b/+Pt6f+0GSf/7jtJ4/T+rb38HPWJSOP4mXyQAEYf0Q5H2zOR0PVlpfZ/fuu9J9K+4f9+r7St0b756t+ttiM1u3/VfgY0CbEGII+MfALwO/XA2Ht4EvVr3s7wshfh24CLjAT6hK8HeH8iyFB6VVOFA6hQelVXjYDK220nsdxjD31Zj3yHlDQwjbJvWd7xAZGsLp7MTIZpn93OfWfIzFM2eIXrpE5MYNXCmRhoGfSlE+eZLs88/XxltcJT3W14fd00PLiy+uuLaLzwFrYICWF1+s6WL39GANDq6oU/HMGaIvvIBWLFLZuxeEwBgdJXH+PMbUFOXDh5edw3LnYLSvDy2fRy8UkJqGnsvhNLcwqu9mZiRJf6Wb0X2PMH0xyUTOYqjjJH3vtDL2jQi5HGtsoRYQiYClu0S9MqmITa9/nSdbP+Cp5FscOJOkaU8Mz4OZG3NM/uW/zOgvV3Ca2ojaHl2pajRFSmKOXWM84WMngmOrRVzU5fCupz/8eljJ874RfdLv5TV7L7+vwhjZs53YcZ51KeWfXeatP7/M538G+JnNms/9hvIshQelVThQOoUHpVV42Ela7dTWSPMeudZ33iHxwQeIkRHsvXvxYjESr72GMTGxwMBudMzs88/T9PLLxN59FwgKsuXqDP96T2D08mXMwUHKR49i9/SsaW0X62IODtL8ta9ReuSRFceye3tx2ttrfdalEBCJ4MXjaLkcWrG4Jn2tgQGMm4NMygxT1hGuT7dTmIXCVIxbzi6GkwcZLafpP9/BeDlFwYs2vJ7zGHhEcYgkBLGERmaX5MiRCg89VOZU63UeHPoWLd/5QyZEO4VDx5lramEuD0YxT+u+KFqHS8t+C604gh9fOaJhqf7wfl13h5W2VdxmJ90Ddzo7zrOu2FqUZyk8KK3CgdIpPCitwsNO0ipx/nwtxBkaCwFezRPfqKf+bjz6jWxr9/bivP02tu8jDx9GVgstuUKgT02tK8zZ7u1l4ktfqs2h6eWX6fq5nwMhKJ08WTPc7d5e2n/pl9AnJ4lcu4YxPh4UFkunaXr55Vq/8vm5AwuOR89mF+hijo/jptPBOHv3rqiT5nlBBXEhiL/+OtI0Ea5L9MoV9EIB3zRpevllJr70pSXXcSx9gPFxg4kJHft3i3j8JcYGPcb9DmZlkuvTHQza7UzTgs/aq0xHo4HnPB6XdKTyHNAHeTjVx+lTFdo+tp/Ug20UChpzcxrQxWDyw8wO2+y98A3abs5Sjh9DRiIYXo7pDwU59Y3mNi/1Oa+aInBHvr7Ki16WnXQP3OnsOM+6YmtRT+rCg9IqHCidwoPSKjzsJK1qYcF1rBQCvJonvlFP/d149NeybURK9NZWnPq2VtEo+uws5vj4WpdrwRwyL7wQhMSn0yAEiddew6x67AGS587hZDJBnne5TPzCBSq9vcTef5/cxz9em3vmhReAhQXOUufOkX/qKaga63o+j5dOozdQMK/ee6zn80hNI3LjRtC2Lp1GzM2RPHeO0qlTlP/oIu/Rw7S2n8nXTJw/HKW/dx8TMs3srMbEqw9ys9jGbDlKhbVVaIdqOLsFTU0+ra0Ou3Z5HD9e5vTpOfZ6A/R++7/jptLkzFasdBrtzbeYch4kcqybjg430Po7L+Fm0tgfOUPkgw9Ife975M+eXaB3o7nNS31uXi+VF904O+keuNNRnnXFhqKe1IUHpVU4UDqFB6VVeNhJWi0VFrxSCPBqnvhGPfXr8eivZ9tK1YsuKpWaZ12Uy/iWdVdhzonz59GnpnCbmmrjelDz2AM4mUwtN1pGo3hA/PXXsffsQXMc4n/0R1jDw+jT03jpNG5XF74Q+KkUTiZD9NIlik8/HYydSqHlckhdJ/766+j5PL5pUjl69I651XuPvWSSaF8fAP3RI8xcijBXiDLAKUr/fILB9meZcJsZLyaZKsS4OZFi8lwTNnp1tOQd4y+HgU/MdGiOl+mI5OhsKnDwM508+miZtjaXRMLHsiTlsgZA6mtvMBNpJ5a06IoU0GIewivQfOWPmH7kC7V1ntfaB9ynn6617lrKEG/EwF4pd3w5dmJdh7thJ90DdzrKs67YUNSTuvCgtAoHSqfwoLQKDztJq7W2RlrNE9+op36tHv31bmt/+MPEZmfR//AP8QCkxMjlqOzbVws/Xw/1bdzmkZEIei5X89iXjx0j/tZb+NX3AIyZGUqPP07ie9/DmJrCj8WC16emSJw7R/HsWdzWVirHj5P87ndrodlORwfJa9eQpomj6/iWhT47izExgTUwsMBwLO3u5frjPwavfYA/F2Mi20sh0cHsDZ1Bt5sht4uSkeLqWBuj1/Zir/PP6kQCUilJR2WQ7rYSJ7omebJ3gLZUmabIHObEOJM/8ldqn/d9gWFIOjqC/vQdc9dwujpBBL3a9eZmaGpCe+utBeu83vNko9ipdR3uhp10D9zpKM+6YkNRT+rCg9IqHCidwoPSKjzsJK3mw4LTL79M6rXXQErmHnpo2c+v5olf6f1676R58ybYNs7evUuOsxKN7sPp6KD8kY+Q/cQnSOTzxOuKwq1UDX5+jGhfH8bICFqxiIzHqfT04Dc3IzwvmL/jIMrl2x77SmWBx14rFimdPk2kv7/mCZ87ciQYc3oaUS5jlEoIx0EaBlqxiHX9Om5rK75lUTh7Fj+RIHr5cs2rjm1j5HKBd/fJJ5nx04z+1hXGnjlKqSSYmtIpFHTy+SYGZh9kWtdxYje5MRxjnHbKRAEBlVWXeQFJw6bZKJBOuew6KDj6iM5DD1XIZHx6v/M1KjmHWOvtQm1aoUh8T7JmmDeiozc7i1Yo4NadA2uN/NgM7iYKBHamV34n3QN3OsqzrthQ1JO68KC0CgdKp/CgtAoPO1Er3bYpPv54zbu+nOdwNU/8cu8Xjh1b4J0Utk3izTcpAk61unmjRb0a3YdWKND6/e+Te+YZJqtF4VZj3osqPY/I1asYY2Og67itraS/9S3cTIbCxz6G29VFpL8fWSjUWoHps7PYdR77+bmUHn309hyfeILOX/gFrKkpvGgUqQUh4ZrrBu3Rcjm0fD5Yi+eC4mnWyAilXT2UshGmtRbsEoyap8lNtFEoG4wN6VwaayKX05me1hgaMpiZ0bn9N/qdofIrkYj4NGUk8TgcPGjzyCNFDh60SaclTU0uuZxOOu1hVP8aLz92mv3f+k104rf18HNMf/i5NeloGAaGaTL76KPLfmYrir/djXd/p3rld+I9cKeiPOuKDcV1l38Cq9heKK3CgdIpPCitwsNO02olz+H8+/VewZUKeS1X6GvxPuyqR90cHYWqN3q1ol71HkrfshDlMmaxuOw+/FQKW0qs738fPvvZNa1F9PJltGLxdjX2sTH8RAJcF6u/n9JjjwVzunat1qd7cRu35dbJ+3/+H6TrBsXfTDPwpPs+ohK4u6f1DNkPf5ZJey/mb32T/PRj2MUEhVIH13K7GLVbmL2V5JbVw81smoIdxX5znaHswqYtXSAuyjywZ4LTz5jsfrSZREISj3vk8zpNTR6WJYEgBf/QoUrNUAego4tS5ofWXKBt8bniJpPkz57F7upa8jPRvj602Vn8dLp2bq6nC8FauRvv/uJzUnMczP5+un7+58l/7GOh9bLvtHvgTmartFLG+g5F14OCJuomsP1RWoUDpVN4UFqFh52m1XKew2hfH9bIyJJewekvfGHZ8ZYq4NX8ta/dsQ+7pwdpWYx/5SurznEpD+W893l+X0vtg9ZWrGx21fHnmV8LPZ9HuC5+PA5SopXLuK2taJVKrSL7avNfah2sgQH0YhGvuRlKFUa0XTAryert5BKdXP/E30Lfm+HSxSgTEzqF7zxA1m9haLaJsdkEJc/A4c6+4I0QwaYrWSAW83iso58PtV6i7YeOo+3fhWFIbLuNRMIjFgtc8pYl2bu3sRDaRou7rbRdpJrXT6Vyx2cgiDCwu7uXjP7YTA/23Xj3668tY2qK+IULeNXjXGvP++3ETrsH7mS2SitlrO9QfN/f6ikoGkRpFQ6UTuFBaRUedppWy3kOtdnZwDhaZ65uI/toNPe4kbzhpfYhZmdx6v7f6Dy9VArDMBDVWHI/GkUrl/ENA2/eS7qG+RcKGsWiRvr332c09WFmhQkUSeZG+WPnDLN6K9eaH2Ps9w5z86bF7KxOuQye93jDc6/HNKG93Sed9njooRKPPVZmv36T9Advo2ensVva0J44gXm4A/BIpTxiMbmufW0UK11XG9WFYD002hZuKerPSev6dbz5zgHVuW7UHO81O+0euJPZKq2Usb5DEdUWJ4rtj9IqHCidwoPSKjxsR63WGwJsDQxgZLO1nuDlY8eQkQhGLoefTuMnb7fuMqamsK5dwxodBVhTCO/d5h7Xeyj1bDYo2pbLLZjHkvuIRpl96qk7jnm5tbJ7emj7lV9B5PNoxSKiVEJIiTRNjOoc7P37b+eVL5q/70M2a+D7we+598Ypv3qNZGGCkozw7ddjTNhPM1WKc1Psod/poejFKGPhXdPhWkPLsYBIBNrbPdraPJ54oshjuwboGbqAPjWF19rK3IMPou3vIpXqQHvkk7S0uOjzndm47W2zBgZIv/xyUIhPSuy9e/GqBfXuJqy80XNzpetqo7oQrJf1Rg7Un5N6LocfiaDNzVE6dmzD53gv2Y73QMXSbJVWylhXKBQKhUKhYP1FrOq3Kzz9NJEPPiD1ve+RP3u25kmc9wrOh/D6QmB3da05hPduvJNw20MpbDuYRyyGbwXh4PXzWLyP2Wefxenuhmpe+UprBZB89VXKR45gjI0hymWsmRn8eFA4zd61CyEExsQE5SNHGH7qU0zF9sE4eB6MjBiUShqxmM/0tMGVV0rkXneY9h/gWraNiVmLIolqRfb1EcOmY5fH7v2CU6fmOHOmiGUJfB90HcyRW3T98e8TbTWJHLJoca9ivPcm04efw+5Y+VzIvPAC1o0beE1NaIUC6W99C6etjcJHP7rukO2NCk+/my4EW0n9OQmAlJROn8bLZIDtMUeFYjNQxvoORcqtDcFSNI7SKhwoncKD0io8bDet1hsCXL+dD7hPPx309U4katvNewWta9fwhUD4PpUDB9YVwlvvnVzsxZ176KEV26nNeyjN/v5ab3K9UqF0+jS+adbmsdgDapom1Om1WjG9+ffsvXtBCNzOTrxUmuEHPoLt6WiFApVIkvd6fxRtVuJmBdmszpUrUWZmBLdumYyOmmSzOnMFicf+htZmKRKaTVdTgeOdozzUOsDTx0bIPvNpTDMo9GaO3KL9/BukZ0do7o1SPvskicnzaHvn8FMGUMFn6WKBvq4joOY1N7LZwBPf1ISMRtHHxvASCYTj1ArqrVR0cDndGimwNv+5iOviZjLkjh/fsC4E97Jq/HLMn5Pzc5SWFdRB2EZzXCvb7R6oWJ6t0koZ6zsUrdrCRLH9UVqFA6VTeFBahYftptV6Q4BX267eK2iNjmJ3dVE5cKDmFVxvCO9iLy5SknjtNYyJCbLPP7+k4Tc/l66f+zkQAi+dpnT8OG5rK0i57DwWa7XaMZfbu5jMJ5EIkpMWhehRBm6mkR0ZCuUIw9OHGBnRuX49xfXrEfJ5wfi4wdKtjBsPP03qNj3pKU40DfJE0/uceBQc3yBmBmHqUkJbYYjmgzaplB94rN8NPNb+gcA4jb30Elo+T/nowlZti4sF+oZB4tVXEUDxySfRikWS584hDaO2Nlq5jB+LoZXLtYJ6qxUdXEq31QqsZV54AQjSD7wDB9Dn5pYcb7XIjLuN3LgXhGGOjbLd7oGK5dkqrZSxvkNR/RrDg9IqHCidwoPSavszn3sbKZdx2tqQDz64Lf7QXm8IcCPb1Xuq61uZLbeP+vxkqetIQFuU85w4f77mxRWuG3h1CwVELkf65ZeX7Ylu9/aSf+aZhuYxz+Lrqv6YS7ZJrhIN/h8/yFQxSvaiiZawmC7FmZj9DOMDES47+xn+Wg/TOYMxrxkPE95dcWlXwKdZzHGkO8sx7wM+2vwGqSf2EbdcNCHRikUi/ddJae107AZNBF4xLZ/H70ownQqKRS0XIRAdHl6gqZ7NEv3gAyI3blDZtw/v+HEi8w9JoOY1dzIZzKEhRHMzmuehFYsY2Sy+acLu3bV1XmvRwdUKrOlTU8E4J07A3Bw+QLU12+LxVssbX29e+b0kDHNsBPV9FR62SitlrO9QjGrjTtUKYvujtAoHSqfwoLTa3tTn3vqHD2Ms4wHcCtYbAryW7Rr5bP0aSdMk8corSKD4xBMLcp7N8XE020ZqGtbwMNI08apjps6dW9Cr/G6Pdf66mpyU2LZg+vBHaf7d32VgpIWSkcIt2IxPtDB88EmGJyIMvFFiykkzWkyTs2P4a/COL0YHmswiD3YO82BmmDMzf0BndBoeOoY0DRKvvYb98EPs2TVCIlJ1zUtJ1J3ElxXcQnrZY1wuQsBvasLI5XABUanUPOheczMIQfzCBUSlgtvZCULUivSVjx3DGh7GHBsLCqEZBprrgmWh5XJYN2+Crt9RdHB+v8tFNqxWYG2+Rz2AXn0A4OTzoSy6dj+hvq/Cw1ZppYz1HYqzdByZYhuitAoHSqfwcD9otd6K5duBBZ7M2dngxWU8gPea9YbXrrTdUlpNP/cc6ZdfJvXaa7U883rq1yj6+uu4Ve9t5MaNBTnPTkcH1tWrmFVDXZomwnGQkQhOJrPimq52rFJCNqvj+/NGtmR42MDzIJfTGR09To5uxt/NMTCWZsxpYqLcTOl7dxcqamLTpuc43XKVBx+co9ua4MieIu6uTlJ/+IcYU1M0tTt0Ho5A6nqQJ97Uih+dxI8sjBIoHzlC8cyZFfVcLiqifPhwbdvUa6/hpdNUTpzAun4dUangx2KYs7OIai/z+TZ0MhIh9/GPE3v3XbRCAXSd8tGj+PE4WqWCMTrKxJe/vKDoYP1+V4ri8CyLxGuvYY6M4FYfKMTfeSfYt+PgJxLB52ZmGhpPsfXcD99XO4Wt0koZ6zsU0zQBFV4TBpRW4UDpFB52ulYbVRV6q1jQOqy5GQCnVNo2HsD1htcutd1yWhWeeALdtik+/njN41uv4YI1yufx0mmQckHOszk2xsznP0/00iViFy8GofC2jVYu42YyVI4fxxwfb2jO823SpATGwbYFo6MmUvqMjFjMzOhMTUW4ccNgdFQwOWkwNaXhOK1rXqd6IsKjSxvjidT77H/Y5OTYd9iTKYAQaIUCc4cf42Bmkpb+i/ijSdwzafzk4aCafS7H9Oc/X3sgslyUwHJ6zj9Eifb1YQ4OUjl6FLunZ8lta3pUWzfN54v70Sj67OztnPX5NnTPPYfmeRSeeaa2DVCrCbC46OBqkQ3151H+mWeIvvceqe9+l4ph4HZ2ouVyGDMzVJqb0fJ59K4uxNwchLTo2v3ETv++2klslVbKWN+hqCd14UFpFQ6UTuFhp2u13orl24V6T+ZO9wAup1XzSy9RPn58WQ0XrFEqhSiXgdve2/n1snt7yT7/PMbYGNbgIBgG9r59zJ08iW+a+C0td8zJdWFq6vaff8WixtSUjuvCzZsmMzMms7Nw6VKMmRlBNmsyMyO428jPeBx6YhM80XmNXZ02D3aO0p4qEbvwFgDRh49y5Oo7NU+1TEco7RpDy+dXze9ea0REvfFbPnoULx4n1teHNjdH+fDhFb3vbmsrpdOniVy8iIzFKJ08GVSDdxz8lpbatqvVMVjLnO+oBF+pYO/dWyta56XTFA8dCtrwJRIYV67gtrWRD8kDvPuZnf59tZNQnnXFhqKe1IUHpVU4UDqFh52u1Xorlm8XFuTertEDGIbw//o5Rt9/n7lTp4JiX1X8ZBJrbIzS448v2K5ew/o1svfvJ/HKKzA3hxCCxPnzCNum0ttL9MKFIBS7WMRrbmbu1KkF3uGxj3ySsTGj5tydndXJ5zXyeUF/f4RKRWN0VGNgIMrUlMbMjEE2e3fHr+OTtmx6ugqcygywzxjigSMFrCeOICW0fPvb9OwpE22JoBUKWPuCwmhe7l20fJ7olStIy6JQbX9n5HIgBNFLl9ALBbxUisr+/XitrQvO+bVERNQbv3o2G0QguC7a7OyS59Ti/H7fNHH2718xmqWRmgCNznnxNa/n8zidnej5PPlnnglerHrtp7/wBaLV4nN29SFPI4Th2tqJ7PTvq53EVmklwtzf74EHHpAvvvjiVk9jW6LrOqAu/jCgtAoHSqfwsNO1annxxTureFd7ek9/4QtbOLPGmTcMrGIx8AA+/PCqhsGCwnT1xs828h4unmPie9/DyOUonjkTtEYj0Cr6wQcLPOvzr9drWG88afk8iVdfxRwZwY/H8SMRjKkpkJLysWO4ra3IkSwTWif2gQPM7TvArcNPUmjdza1bGjdvRrBtjZs3dcbHTaamdGZndaan11/0DcDCocXIc7h1nJO8y974BI/obxHXHMyJcZL7krR+qAeikZpWcGdvcXN4mMwLLyA8Lyic5jhoc3MUzp6ldOoUmRdeQFaLsolKJfCAHzmCs2fPus75jl/8xcDYrbZA82MxZCSCMTlJ+eTJJc+p9RizG2UAL77m46+/jpbLgabhJ5Po+Ty+aVI+epTJL31pzffAMFxbO5Wd/n21k9hMrU6ePPmGlPKxpd5TnvUdinpSFx6UVuFA6RQedrpW661YvtmsZpgs9f5ctY91Ix7AMIT/L55j+fhxEq+8QuTiRdynnqppNfPccyRffbVhr2vLiy8Sf+MN7O5uZCyGmJxmiN2AxBsWDCVPYMc93sv3MjxzivGZUwz/D4PxcZNCQTA1ZVAtVr4uNDwsXDqjOY60T7C7Y47D7Vken/g6lnCxYtCjDZOiQOTGDcTcHF4mBXMG7ttZSqdP41aLCM4b1/PnQuL8efRsluKZM0s+vLCq+eTRK1eQlQoyGkVWKsT6+pj5k39yXcczH6Ie6e8PDPVoFFEu47a11ebZaLuz+vPa1/UgJL6uxd7dPEBbLq/e6eggefUq0rJwTBPfNDFyOcyJCayBAbTqddXoPTAM19ZOZad/X+0kVM66YkNROTDhQWkVDpRO4WGna7XeiuWbyWpF75Z7f/ZP/2mcnp6G9hGG8P/Fc/QyGYpPPEH8nXfu0MrZvbshDX0fpm6UqeTTOKkmJkutOIUc79kHGKKH4nSS65ceYHiug0LZYuJqG7k/jq3zCCQakqjmsSs6yQn/A3ZHJnigc5SH/bcx8WiNzJI6cxQ/00LqD9+pbifwkmmMgSx+NIqZy+HGYmjlMn4sRqS/n9Kjj2KOjS15LqTOnSP/1FNQZ6zXa2v39ATpA9evo+dyeKkUbjq97nN+/oGXMTmJ29aGKJfRy2VKx4+v6Zxa4JE2jFp7t+KTTy5osbeeea6WV1987DHM0VE028ZLpSieOIFvmiTOnyd34MCa9hWGa2unstO/r3YSKmddsaGoJ3XhQWkVDpRO4eF+0Gq9Fcs3i9U8c8u9n752jdyBAw1ptbhgl57NEv3gA7RKhZYXX9y0HNu1hDIvVVRMRiLkP/axOzysS2k43y7N8wSeBzMzBrOzgrHxs0yVDlLKm4z4u7hRaiNHkmmamKUFJtcXzq4LiOsVumNZ9puD7G4vc/J4nkOZLB1X3qDn5mukI2Uqhw4RTSQQ5Qre5QHsfoNS5jF8y0IrldDzeazBQbRiES+RwK96qv1oFM11MW/cCAzj1laaXn75jnPByWSIXrpE8emna3OrL8amFQq4ra0LUgnm25StxHLazT/wah8erhnspePHcVtb0fL5hosd1p/X8cuX8aot9qz+/gUt9tZzXi6+Zpy9e/FaWmqpEh2/+IsUn3pqyWrza70HrlYMT7F53A/fVzsF5VlXbCju3ZZtVdwzlFbhQOkUHpRW957VPHPLvn/9esN61Yf/i0plQ72Yy7HWNnlrTVGYndUolzU8L2idNjGhMzRkMj5uUi7D6KjFyIhOaeYZcrMOOWKAvr5jsSCRgPZ2l+5uh55klqcL32DvrhKZDsnB772EaQlKex7BbW0l1XcZUy+AFxiDjutijo6iVyrouRxaPg+miTE1FRh5pRJ4HkY2i717N0Y+j5NMYvX34xsG0jBwurpInjtH4emnFxTdqxw/TvK73w2M8CXWbT1pH6tpZ/f2MvHlLy/M1Z5vvdZgSskdLfZSKRACvZpzcDfe6dWuqZUM7LXeA7dras39gPq+Cg9bpZUy1nco80UQ1E1g+6O0CgdKp/CgtLp71loYazXP3HLvewcOoOt6TauV9lsf/p967TW8dJrKiRM1b+tm5NiuNZd3pRQFxwlapvk+jI2ZTE5qDA9bTE4aFIswMmIyPm5QKmnkpiBX0oB6j3mkoTkLHCJCkmi1aGtz6Opy6e21eWz3IA9Nf4/O0k1SexPo2SwyGq0dm+howc/lsK5fx21txUulMAFZvZ5kVxdeLIaottvzEwnKBw7gx+NE+voQc3NITQPDQPg++Y9+lPjrryMcB2ffPuyenqBY3swMqW98g/ynPlXTzrcsCmfP4icSS6YFrCftoxHt7jal5I4We9W2c4tb7K2Hla4pa2AAPZslde4cTiZD5fhxfMuqGdhrvQdux9Sa+wX1fRUetkorZazvUHzfX/1Dim2B0iocKJ3Cg9Lq7lirNxlW98wt937+xImaXo3sd94jWvM61oUAb0aO7XpyeefnODWlY9uC0VGDySsGIyMm09MauZzG6KjJyIjJ3JxgZkYnn1/f/DQcosInEfXoSObpThc40DbJmeT77P4Hz9La6hGJyNra4nkYE2MYl7KYt26R/8hHsKvGYGX/fuIXLmBMToKUOB0dRK5dQ5pm0F5vehryecoPPUT2+eexe3vZ9c/+WWDcdXVh79uHKJcxstlalXK3o4PcJz4BQtSqrtu9vUT7+kicP0/xySdvG5krnF/rSftoVLu7SSmpP68r+/YtjPZYo5d+pbHrr5nCsWO16yT/1FNEL10i+d3vUjh7traG5jrugdstteZ+QX1fhYet0koZ6zsUIe6uHYvi3qG0CgdKp/CgtLo71lMZejXP3HLvs2dPzXe8lv1uZI5tfcVtLZfDb2oKWqEB0fffx7p6lfLx43iZDNa1a8Rfew29VMK8eZOZ557D2b0b7Y9fpzhU4qa5nxu7HmVM20UupzE5eTu0fW5OI5fTmZ0NisatFRMHI2aSiDh0mlN0mlMc1a/woUNDnDgl6UgW0IS83QJu123vT+L8efA8oleu4EWjuO3tGNksye9+l9mWFgAi/f1o+TzC84j29VE+fJixv/23ib/1FvFXXsEUAjeVwm1vv73ms7P4moas9vWW0SheMomfTDL+la/UWo5FL1+uVV0HKB85gjQMYm+/HeTzb4IXd7PzsOfPG61QIDo8jJ9OU3z88aAavOPgt7Tc1XEtd80suE5SKYrVfvR+IlHb13a4B641Oud+7fO+HbRSNMZWaaWMdYVCoVAoFDXWWxl6Nc/cUu9b69zvRuXYznucpedhDg0hNQ1zbIyo4+BHo0HLsMuXSbzyCnZXF8nXX8fXdAZ7n2DwVgu3fvo9xpsLzGQe5la5hdGpKLdmEsxEE+Rti1xOw7bXNCVAYuFi6pJYxKUzmac1XuZofIAPfSHN2b5fo6lDD6qjDw4Sf/NNitOP4CR70PJLr4M5Po4xNoYXjdYMZmfPHiJ9fcTfeAM0DalpyFSKuSNHQNdrxpKzezeabTNXDXmXN2/WIh78dBo9l0OUy8hIBFGpIHwfP51eoNMdVddPn8ZtacEcG7ur1mYrsZl52AsqtR85Uhs797nPbaiBudQ10/y1r237yu1rjc5ZTzSPQnG/oIz1HYqUcqunoGgQpVU4UDqFB6XV3XEvK0PXa7WW/W5Uju28l7Le82tOTADgdXaiT0+Tfexpbr6e58a3JPnoX2A2vYfxkQwDpQ4mpkzGxzooxluZLscpueaa18CywDAgEoHOToe20gj70yN8+sHrPNY7QjJi365+7oDWodfWyN67FwBzdBQsa9l1cDo6iL311gKvuG8YlA8fxhoexs1k8NraKB84UKuIvriSv4jFQMoFEQ/lI0fw4nHM8fFagbVyTw/Onj0LdLrbquvrYTPzsLeyL3kj18lW3wPXuj73c5/3rdZK0ThbpZUy1ncomqZt9RQUDaK0CgdKp/CgtLo77mVl6HmtViuYtRQbkWM7782fNzS1YpHR8QjvzB1h+lYbeRKMdx7jmn6EmWKOa94xSjmTnJOkgIVEBwQUGj1eiEbBNKGjw6W52WP3bodnn81z5kyJaBQS586ReeEFxHUPdzaD29kJuk7h2DEy/+k/AQTF9fbvx8tksHt60EolnI4OzPHxIOS9uj7zFM+cIfXNbwZh6+k0+vQ01tAQolJBz+cRto0fjdb+GF2qkr9h3n4QMf/+zOc/T8tLL1E+enTBuVI8c2bBcVf27ydy4wb6zAzm6ChuczNeayvZ559fdc3uJjx6s/Kwt7IveSPX572+By7WKNrXR/no0QWfWWl97uc+7+r7KjxslVbKWN+hqH6N4UFpFQ6UTuFBaXV33MvK0J7nYQ0NkVqlYNZmkWvp5uKlZm7N/iD+rTKFrORWsYkxp5mr5SNkaaFQaGZWxrAxoLy2tmmRSPDT2urR2urS0eHx1FMFPvOZAtHonV4aa2CA5KuvUj56FHNsDGNqCmN2lpnPfIbkq6/iW0HigKhUiF+4QOn0abRiEXNwEHv37hUL82Wff562X/kVjKEh9OlpRLGI5jj4kQhaPk+krw+9UKDwoQ8hq156qPPkVkPb4bYnd7Vzpb6wnR+NouVyGGNj+JaFV60EvxLbNTx6K/uSN3J93st74FIamYODePE4TjXyA1Zen/u5z7v6vgoPW6WVMtZ3KIYRSKtaQWx/lFbhQOkUHu5HrTa6ONO9qgxtGAbJvr4gzNq2idy4geY4OJkMEjZ0Dq4LE6+N0/97o7hTRWYi7Yzpn6FwcYyByTS3Ci3MkiRPnDxxwAQENBj5GKGMZUCzWSSzz6IrU+ZU+TX+uvi3NFsl5h56iNlVcprrw4HnDR0tnyf99a8jLQtjdhZ9ehqnowM/kSD6wQfo5XLg2V4lhLh49izO7t20f/WrRHM5hGHgNjUFvdInJxGuG0Q3fOMbEItROHsWa2Cg5sll925kPA63bi3w5K50rjS9/DJmfz+RmzeRuo67dy++riMjEeyenlXDnLdrePRW9yVf7fq8l/fApTSqHD1KrK8Pr6WlofXZ6vXcSu7H76uwslVaKWN9h+I4zlZPQdEgSqtwoHQKD/ebVtvV+9gIjuMgrl0LPMVvvYUfi9X6VafOnVt3wS4pYWzM4NYtg+FhC9+H6b485deKjPq99E3vZroYoVwW5Lyj2Og0/ieRxKJMBI9Y2qCry2WXvMWByDB/6uwldn8+CP/NvPAC1o0beOkmfBkh8dprGBMTtbZnS7FUOLCoVIj19VE6eRKnsxNpWZhjY7jNzch4HLunB7unZ8E2y4UQ2729OHv3ohcKmKOj+NEoCIGbyaBPTGBOTeFkMuQ++Ul8y6qdR9PPPUfqnXcwbt0KKs03EGlhDQyQrKY11F4bHMTeswdsu6Ew5+0aHr3d+5Lfy3vgUhrZPT1oc3P4iURD67Pd13Mzud++r8LMVmmljPUdilnNLVPhNdsfpVU4UDqFh/tNq8T580jPI3r5ci332unoWLf38W699GvZ3jRN5KFDRH/zNxe09gJwMpk7jmG5sefmBMPDJuPjBtmswcyMjm3D8LDJ0JDB6KhJYTTOnL2bkmfh03gLHg0HizJJzaejucyu6CS7HmnmiU/pfOxjxWqrdx3YC+zFBtp/6ZeIvvMOmm2jlct4bW24TU3oU1MLjmnx8Wj5PImrV9EcBy+Vwj5wgMilS7jNzcFkhMBtbcWLx0FKKkePYvX30/Q//gfC95HRKE5nJ05HR63I2+K1i168iDE+jvA8hOsiTROp60HoeypF+ehR3EwGY2oKs7+frp//efIf+xj2pz5FcdcuyuVyQ+uWOH8+MNSFwI9GEa6Lb5oYo6NUDh5cMsx58XpIXd824dFLnXubVcl+vfOZP6/u5T1wuRD28uHDa1qf+7XP+/32fRVmtkorZazvUNSTuvCgtAoHSqfwcL9pFe3rwxwaWuCVjvb1oZdKax7rbr30a93ecRxyBw+yK5uteWBr7b1OncIcH19y7FuJA4xfN8i99gH9J3YxpnVSqWhcu2Zw65bFxIRJqSQolahrndbYnzwmFRIUSRsVurnF8eQgR5uG+eFPjJHaHb/dx/yZpQ2ReY+ybtt4ySTCdQOPck8PuG7tmBav1XwbNt8wcLu6EOVyrY936bHHiAwM4BH0MkdKrFu38Fpb8WMxjGwWaVmIqubW0BDjH/rQkmtXeughUt/5DiKbRbcs/Hgc4TgI38dLp7EPHMCYmiJ+4QJeJAKAViyS+M3fZOZzn4Pu7sbWcXyc8rFjxN96Cy+VCirWaxqiUsHp6LgjzHmpc8eoVua3e3q2NDx6u0WvrDafe3kPvJ9D2DeC++37Kswoz7piQ1FP6sKD0iocKJ3Cw/2mlZbLBT2yq15pGY0iKxW0XG7NY91tjnD99no2S6S/H2NykvbhYSa+/GXs3l6sgQHSL79M/N130Y4coXLoEKUHHsAcHcUcHQ16dsdiRD74gMrRozgODA1ZmP9zgOnsowyNdlF2DaZKFpeGMoy81cKonaKUdym7Og4arMFzHqFAOqbRlixyKDnCEfcDHjfe4BOHrxIbHKCybx/2wYO41YJoS4Vh13s5zZs38WMxKJdrnmsfMEZGgiJwVa/w4rU2xsfxkkn02VkiN24A4LS14bW343R24rW2En3nHSI3biA8D1/X8ZJJzPFx7N5e9HwevVhElMuUHn8ca3CQ4lK6plLkP/pR4m+8gTU8DFLitLXhJxK144y//jpe9XzyqtvJpibS165RbtBYdzo60IpFSqdPE+nvR9jVFnRVr//iiIulzj27pwdRLjccTr1ZbGbu/HoiWVabz3rugeuNqLmfQ9g3gvvt+yrMKM+6YkNRT+rCg9IqHCidwsP9ppXf1ISRyyHLZWQ0iiiX0Xw/KB62Ru42R7jWCi2bJX7hAn4shtvWhjE5SctLL1F44gnS3/hGkMvd1IScmiLyzW/iGEbQz0wIxlsOMlTpRN4qMVzupu/fefjtUcZe2c+V0h5G82nG8ynKnkbRMZEIAuN89R7nOi4xzaE9XaYzPsOp6GX2Jic4+/AEh/ZVbnsFn3uOkd5eWl58Ea1YXDEMe7GXM/bWWwjbBl0Ptq22Q9NzObyTJ2ttzRavtTk2hj41hZCSuRMnEJVKkPebTAb6VsPW7V270HwfLZ8n2teHqFRwq8b8/H7snp4Fmi3el5fJkP/kJzHHxhj/ylcWHIeWz6PnckGV+Lk5SseOAeBWKhhDQ/DhDzd0LtQ8ruk0pUcfXbC2Sxlyy557xSKTWxhuDpuXO79ej/1q81nrPfBuIwfu1xD2jeB++74KM8qzrthQ1JO68KC0CgdKp/Bwv2lVPnw4CIUeHw8MwlSKck9PUMhrjdxtC6X57SP9/bUcdFEu47a14abTNL/0EsK2A0M9GoWeXm5kE2T7JvFsj2HvUWamEyAlrxVOMHizhZE3IoybrVSKZ5mT88Z5Y+h4NGc02tocjh6tsC+Z5YHyG3w4+Qbpvcmq4bybxPlBopf70HI5/KamWq/yRkJ8F3s53ba2IKpB03Db2rCGhxGeR/nQoQXF5RavtSiXQUq8ZBKEqEVIICXTzz1H+1e/inBdvLY2ygcOYF2/jpbLoZfLiEqlttZeKnWHZqvpOu9V1fJ5osPDaKUSvmVROn0ar5qeYEQiyMOHG177tXpc72X7rrV6kTdrbuv12K82n7XeA7dr1f37gfvt+yrMKM+6YkNRT+rCg9IqHCidwsP9plXxzBmsl14K2nfVGZTzHty1jnU3+afz2xuTk7htbbfzz48fDzzEo+Nc0w+Rk2mYznHzooktNGbmenil+AADqeOMzqbIFUzmMChjATpUCP5dEUmECt3WFHviWR6JfkD7PoPen3iS48fLVNOvgVN4nGJ60dZWNUx9/rjrK6GvZHAu9nJW9u8nfuECwrbJffrTy3qUF681uo5m2zjJJMCCCIn5Ku6lxx+nWtEOgPibbwbbzc0FqQ++T7mn5w7NVtK13qtaPno0MAKrc5CWBVKiFQqImRlmP/e5Rk6DGmvxuN6r3Of1eJE3a27r9divNp+13gO3a9X9+4H77fsqzCjPumJDUU/qwoPSKhwoncLD/abVRuaM3u1Y89u3Dw9jTE5SyXRwcdeHmS13wNU5xuXnsWbzjI3pnPN+gEHzEENzrRRtnSJR7FyExvPNfWK47I2McFx+wLHETfbtLfNA+iYnjMtoQlI8e5bpUw+vOtJKnsXpL3xhTV5OL5OhfORIkIO/whouXmu7u5vywYNolcqSERKL9+O2tlI+cgRjdBQ/nUbL5QLDfol88JV0bXnxxYZyxYuf+hTs2gUNVoNfK/cq93k9XuTNmtt6PfarzWet98B7GdWgWMj99n0VZpRnXbGhqCd14UFpFQ6UTuFhI7W62zZm92oOG5kzutxYjczDdeGGPMx7n/4pUt/6Fjf93URcjfEbEV65/gA39d3cvG4w5xsUiOOwFuNckkgIDkZvcGRXnoPt0xxqm+SQPsAjF3+DyMQYc20nQEqMXI7Kvn0LogsS587R/NJLWGNj2J2dzDz3HMWzZ7EG/v/s/Xl4HPd94Pm/q7qru9EX7gYvECQl3qQk6oSOWAd1WrZs+ohiJ3bszDozk9izmzl2xrO/3ya7MzuTeZKZ+WXkZLKZ2JEzjm06tukjsmXZsnxIMnRQ1EmKN0ECBNDE2Rf6rPr90QCIBkGcDTQ+jc/refxYBBqNarxRTX7rW/WtTkLPPQeGMbEaer6hYWJmcbbXPd0sp+FyMXzgAJ4LF7Ci0YnT6mfqNj7jmw2Hpz1DYrrvg8s1sXDfbK7WdaZrxWPt7ROv3XzhBfI33VQcsAu20FnkpbguezEz9jNtz3zfA3VF98rRf1vIUalWhjO28IlEu3fvdg4ePFjpzViRfGOruM71fqiqcrSVDNpJjnK1mny6bMk/YJfxdk0rYRtm2o5Lj32IM+a1JJMmAH19LgIBh4EBg1d+4jBwMsnx3mbSjkWi4Cebn893tQm70+xd20dbaIBr1g6z8Td2senlH7DTfxZqL88Ces6fx3Pq1MSwf3TvXkYefXTiZxR48UUif/7nxe0fm4V2x2IMfuQj+Do7sc6enTi93JVOk9q3D9uyMNNpzGx21p//1AF9trWV4Msvz7vbbAcGluLg0bSL6MXjxUsYJr12TziMK5mk/+abl+R3b7l+16/2eu1AoCL3TV+Kpgt5D1wJByZXI/23hRxL2Wrv3r2HHce5ebrP6cx6ldLTaeTQVjJoJznK1Wol3K5ppSz8NL4d+dE8PYd7GY3ZFFxuurrPkvvIDjIZh5/9LER/v4ujR2vIZg2Sycn3OJ8Lh/p6gxu39bNp+G2uWRtn58ZBwnaM3dYJRj58gGzbKJ61W/AceoO8WTrD3Pdv/s1VfyZ144PAsRXy7dpa8kDD179O6tZbMfJ5vGfOYAcCFOrr8R49Sm7zZgoez5x+/lNnOZv/4i+wzp7Fm8tRCIWKs/Xh8KzdZpu9XcxZD1d7vONy4TlzBiOXwzU8XDwzwDTJNTeTueaay6f3Gwa2YSzZ7950v+sMDdH8hS+Q27jxqq9rvq99pc0iL8WM/ULeA3VF98rQf1vIUalWOlivUqZpVnoT1BxpKxm0kxzlarUSbtdU6YWfHAcuXrS4+I4P2wyQfKcPj8+PYbn4fvetRN+t4ZXDDSRzXtLp+V7OXKDFm+DXIu+wIXGSNY9uY+N7N+L12uyybEIvvzUxABtpv/yzWcj1w56+PrJTTt+2w2GsY8fwnThBoaaGzDXX4O7txXPhArmWFqIHDlD3ve9NLPg28XWz/Pw9nZ0EX3yRXGMjhXAYI53Gf+QIqRtuwJVMXvXrFmq+C6ZNfbznwgW8585R8HqxBgdxvF4KgQDukRGMEyeKBzAaGzE8HrAsrHfeKftrgCt/192Dg/hOnIBCgdQtt0z7uhayWNxquC+4/n0lh7aSo1KtdLBepSRf3rDaaCsZtJMcM7WazyzcSrhd03y2YSGnsU73NZfqNtPd7cFxIJEwsW1oqW2k42cmJ2J7OZLcwXAuSMZ2kcQLybn/UyIchl9be4zNrgvsdJ1gd8sA7qCXa8PnyW/sZmjv40tyjX62pWXitmzjzFgMx7KwTRPH58NMJsGycAyjeBs1FvY7EOjoINfYOHFavePzUQC8x46RvOOOOW/zXIWfeqpkFj+zefOMs/iTf//cg4P4X3kFM5nENTJCZvNmCg0NGOk0Vm8vjmniPXuWVGMjTqGAmUzO+/d/rr+XU3/WnjNnsE0Tu64ODGPa/WShZ55U+yyy/n0lh7aSo1KtdLCulFJqVZjvLNxKuF3TXLdhITOM41+T9Ndz0txN5kyOwutH6Lu1Ae81zVy86Obll2t45x0fPV2/RS6WIkUN9jz+6eD3w403jnLttRk2bcqxfXuWpm/8gLbtDn5PHlf9GgDyg87EYm7zfR1zMXzgQPGadSi5Zj29bRtGPo97cBCrrw/HMHA8Hhy3m/pDh0jcemvx2nPm/jtgRaOkd+zA//rr2IAzds84a2BgQbfTm4mns5PQiy+Sa2qiEAphZDITs/jWVWbxx3//3IOD+I8cwZVMUqitxdPVVRyge73YgUDxAIZtYw4MFG/flkziSiQYvuuueW3fXHtO/V139/fjuN1kNm+eeMzU/aTSZ54opdRS08F6lTKMua6uqypNW8mgneS4Wqv5zsKthNs1zXUb5vPaHAd6ey3yhzohtYuRdD0+K0/OFeDNoc289KSfNxLrSMUgm7bJTtzfPMRsPB7YvTvDDTeMsnZtnl27MlgWNDXliESK1/vVv5MpLvDlCWG4XCWvv1zX6E83mxv9/d8vrgbf00O2pYXoJz5RXK29q4vAK6+AbWMHgxSCQQoNDeTDYTwXLsz485/u++QiEcxkkuzmzdS8/nrxNmw1NYzedNOS3IYs19hY/INh4Ph82IDv3XevOos//vvnOXOGgs+HGQxijo5i+/1gmrj7+8m5XORaWshHIrjHbkHn7N5N/K67yI5/vzlu31x7Tv1dzzc0kFuzhsKk7zd1P9Fbjk1P/76SQ1vJUalWOlivUrZtV3oT1BxpKxm0kxxXa7WQWbiVcLumuWzDbK8tFjO5eNHCtg1SKRPTtGm6NMIpYwtHLqznV52t9CVqSWdM0ri5fDs1FzNxkWXr2iS33G+wZo3N3r1pvF4Hv99m06bpV5eb/PqdUAgjlZp4/XXf+96iZ0pnms3t/pM/KXlsbuyxdiBAtq0NI5PBHB0ls3kzZjZL4JVXJgbiw489dsXK7NN9n8SttxL+8Y/xnjtHrqWF3Jo1uEZGMHI5PJ2dZf19sqJRMjt34n/9dQoUT7nHcWacxR//+bv7+8k3NRVPhx8aIhuJ4I7HcY2MYIfDpFtbS24NN36PYeZx+6L57nPT3crOjMevup+stMXiVgr9+0oObSVHpVrpYL1KucZmK/T+jSuftpJBO8lxtVYrZRZuKWbsp762bMFFV5ebpPt6Bt7wkc8beDwOIyMuzp1z89OfBul8+38hnrbIORZ55rpwToFWK8rDDS+xoS7GdZsG8G2oI/7Qg2zdmsY9h39VTH79NaOj5BsbGRqbdS5Ho4XM5jZ3d+MeGCDf2Ehqxw6MsVXPZzp9+2rfx3PhArnmZlyDg5hj15Enb7sNx+Mp+0rq47P4qX378Jw5gysWw7YsEnfcMesCa5Nfc2bLFlxDQxgXLmAUCmRbW8lu2FByfflC3gMX03Mu+8lqWCxuIfTvKzm0lRyVaqWD9SqlO70c2koG7STH1VqtlFm4pbifcbK9HfPrT3MuGiTnC5AcdmjIRxlov56uLovXXvPR0eFncNBNJjOvyVGCVpa72s7Qnvkl+4LHse7aC0Br7RD1NWmsvjeI7nzPvF7b+AxqbOwfP+O3xClHo4XM5l767GdL7vEdeOEFHCC3di3+w4dx9/VhxuP4XnuN2KOPkmxvn/X7JO+8c2KROaA4413ma6knfl7hMKmbbpr4eY08+uiMLaZ7zWYiQX7t2quuD7CQ98DF9pzLWSXVvljcQujfV3JoKzkq1cqQvArh7t27nYMHD1Z6M1Ykn88HQHp+99FRFaCtZNBOcszUaikGyvMx+dTpksHLAhZQcxzo63MxOGiRz4NzoY+Gk0e4dN7mlL2Jp7pv5Vw0TCplkMkUHz8XpgmtwUEObDtC29oU21oGAVj39i/Z5O8lOWmBMTMexw4EGHr88QW9tulaLbZR/cGDxWviJ8/mTtrOq5n8fX1Hj5LZuBHvuXPFQXZvL5gmRiZD7P77MVwubI8H2+eb9vsAC9qGhZju5wXMqcV8ftYLfQ+s9D63GunfV3JoKzmWstXevXsPO45z83Sf05n1KqVH6uTQVjJoJzlmalXpWbjFLqCWy0FXl4f8mV7sw8cJxfvw1jYTXb+P13o28+yz1zMYhXTaJM/cF8OpqYFbb01x222j7NiRoXbkIuHnDrNxwyiBRk9xQbINWZy4ReD554v34I7HMQyD2H33TQzI5vPaAi++SP1PfoJ16RJZn4/hAwdIjp2+vZhGk2dzjUwG37vvYg0MkLjjjhmvGZ/8fesPHiTw4ovYNTXFxdXGVnR33G6saJR8JILvrbdwx+PkGhvJ7NyJ7fGUzBov11kc0/286g8enFOL+fysF/oeWOl9bjXSv6/k0FZyVKqVDtar1PhCMOOnFqqVS1vJoJ3kWMmtFrLIXTJp0t1tkc8bxOMmazLnsX/0CpecRr5y4UFePdfK0GgNSds75+0wgDVrbd73vhF27Miwfn3xZ+Xz2WzZksUw6vFsvbnkWuDYAw8Q/vGPJ27xZft8FMJhzNHR4kJgiQTpbdvm9NoCL75I5M//HPvmmymsXYv52mtE/vzPicKi70U+fh1z+Kmnirc1a2wkcddd2B7PnG8Dl2xvp+773yfX2IiZTuO4XJj5PNkNG7CiUdzDw1AoEL/zTnzvvkvw+edJ3HFHyXNX8lrqpbil2Urer1QpbSWHtpKjUq10sF6l9EidHNpKBu0kx3StVsqpuHNdcGvkSA/xn5/EGRgmEWzGf/tWemmjv9/gy19s5ljvb5PI1ZB25vrXuIPfnee2jed4uO0dtrXGyLy3OMu7dm2OhoYr//ExdUa0/uBBsq2tmKkUhbH7cBvpdPG+4tu34+vunvNiYnVjp2g7qRSkUji1teTHPr7Ywfr4thcaG4ndd1/J9sz1LIZsWxuJO+7Ae/z45Y+1tmK7XLhGRyn4fNh1dRSamkjeddfEKe4LnbUut6VYTFHfA+XQVnJoKzl0Zl2VlR6pk0NbyaCd5JjaaqZbeS33YOpqC27137Ofzk6LZNJF/mwfjc+/hCvsoce3nhNnA3z/qXVcyDWSzHrIZud28bmbHC1c4iPhH3Gv+Ut899+AXRfGZTjsdd5kYPed89r28dlaVzxOIRwGwPF6cY3dWssOh3HHYnM69dvT10d27VpcY4PHQjyOHQ7j6emZ1zbNZXsnm8/s8sijj1KfzZLbuBHfiRM4+TxmNotjmhi2TWbz5gU973JYisUU9T1QDm0lh7aSQ2fWVVnpkTo5tJUM2kmOqa3mcy31Us/AT77VlH1xgJPubQzuuZGhS+toaChQ6OyDr/+Qb13Yzs+S7fQX6hnJ1WBP3Fpt5oG6lwJ7fcf52IZn2d3UQ/BSF2SyNHuGaU7FSO26eWwWuHne2z4+W1sIhTDS6eLMeiZDIRSaOAU+2d4+p1O/sy0tmLEYdjQ68TEzFiM7ZXC9mB6LnV2e3MocHcUcu/+4GYuRW7OGQmPjgp53OZTzlmbjDTzJZPG+7Ndfv6h9wtPZSfipp/C/9RY4DqPXXcfIo4/qde1lpH9fyaGt5NCZdVVWeqRODm0lg3aSY2qruc6wLscMfDZrcKawldE920ltMWlszNPfazEyCF/9Ky+n397AYOqfEccHWHN6Tr+Z5dbIST7wSZt1zRnW/tVfkK+tZUddHwGjD+/582QjrTixGGY8vuAZ1onZ2kgE34kT2JkMhm2Tbm2deM65nvo9fOBA8Zp1vx8nGMTp6sIdixH9xCcmHrPYHuWYXZ7u9Yxvlzl2RkGlbgE4m3Kchj+5gbN1K+6x9QkWuk94OjtpfPJJPOfOUaitBcch8MoruC9dYuBTn9IBe5no31dyaCs5dGZdlZUeqZNDW8mgneSY2mquM6yLXan9arJZg64ui9FRk2TSpKkpz8iIycWLJn/xF81cuOBheNgkk5n7c4YDee7ecJyPtf2C4Loactfvwd6wlm3b0rScqcd7/DhmMkehvp74li24e3ows9nircMWOMN6tZnm3IYN8z4DIXnHHUSB+p/+FOvsWbLBINFPfKLkevXF9ijn7PJyPO9cLef6CyUNYrHiB8PhBe8TgY4OXIODFGprccZug5Q3DFyDg4vez9Rl+veVHNpKDp1ZV2WlR+rk0FYyaCc5praa6wxrOVfQzuWKA/RUqjhAb2zME4+bXLhg8pd/GeHCBTeDgy6y2bk9nwub2nCBBx5J8cADcQIBA8Ooo6bmfWzeMv4kxXu/jl9rPfke247PV5YzBMq5aFryjjso3HcfMP19a8vRY6kWeavU4nHLvf7C5Aau2loAcsnkgq/Pt6JRzGx2Ys0DAMfnwzUygjXpkgi1OPr3lRzaSg6dWVdllc/nK70Jao60lQzaSY6prabOhDouFwWPh7rvfa9kZnKx1zhPN0BPJk3OnXPxV3/VwIULFv395pwH6B5yrDH6+djG59j3+9tg41oAQiGbjRtnvpd8JWd+52Om/WopVjSXbqnO/riayQ0KiQSwuAa5SATPqVMYmczEzLqRTmN7PKu6a7np31dyaCs5KtVqyQbrhmF8CXgfEHUcZ8+Uz/0L4E+BZsdx+g3DMIA/A94LpIBPOY7z2lJt22rgcrkAfROQQFvJoJ3kmK7V+Exoyczk2Kzz+MzkQq5xzuUMurstkkmTRKJ4ivvoqEFnp4u/+qt6urstLl1yTTnF3eBqC8X5yLKhNsYnb32V6+s78adHiN17H7V7m2lpuXL2+Woqeduw+Zhpv5qpx3xPBV8pt+5brKW4f/pMJjcwm5owUylYxPX5yfZ2fO++W7xmHcBxcMdiZDZtItneXs5NX9X07ys5tJUclWplOM7cbgEz7yc2jPcACeBvJw/WDcNoBf4a2AHcNDZYfy/wOYqD9duAP3Mc57bZvsfu3budgwcPLsn2Szd+qoZeC7PyaSsZtJMclmVhdXfjfe65KwZn9QcPYiaTpbO1Y/fIHnr88TkN6nI5xgboLhKJ4gz6yIiLkyc9/PSnwbEZdBfTnNk9rZoa2LQpyyc+Mcwm9wVq330T99AQazaZ+PZfJ3JQOVez7VfT9QAmDriUDOKvcir45AM0c3n8Sjbb7+9SGG/gLRTINzYS27GjfKvBA6N79+pq8GWmf1/Joa3kWMpWe/fuPew4zs3TfW7JZtYdx/mFYRibpvnUfwX+d+C7kz72AYqDegfoMAyjzjCMtY7jlO+Gq6tM8WQFJYG2kkE7lcdyzHB6Ll6k9ic/IZNOX3Fd72wzk1ebkS4U4MKF4gA9mTSory+QTsPp0xZf+lID3d0uLl1yk0pdbatKZ9N9Pti8OcOnPjVMJJKnpqb48U2bGgg88p6Jx83xjHmxZtuvpvbwdHbS/IUv4B4cJN/URHbLFvINDTOeCr7cp44vpaW4f/psJs5K8XiKf57rdRwzPF//7/1eOTZNXYXn4kVqXn8d8913RZ9Jshrovy3kqFSrZb1m3TCMDwDdjuO8MeUFrwcuTPpz19jHZhysm6aJ2+3G5XJh2/bED9FxHEzTpFAo4Ha7yeVyWJY16/8XCgVM02T8bAPDMLBtG5fLNefnyOfzi96ecjyHYRi43e6Jr6uG11SNnXK5HF6vl0KhgGEYVfOatJOM17Tcnfz9/QSeeQanrY2834/H68X7zDMkP/IRRpuby/aagmfO4GzahJFK4QKM5mbsoSHqzp2jsHkzHo+HfDaLq66OwvAwbo+HvM+Hz+e74jX19Rn09VmMjhqEQgUcx8WpU25+/vMgPT0G0aibZHKmv6nGOfh8sH59js98JsGaNRnCYRf5vM2uXWCa46/BwLJ8Fe20nL97Ho9nzq9p/PfHE4mQq6vDXVuLdeEC6TVryG/YgG9oaOL5Jm+PJ5nE2boVRkYmmrvWrMF98iQ+n0/W/nTNNaR++7fx/PKX1DgOGZ+P1IEDFJqa8C3xe4Tb7a6q371q3J9M08Td1UX9a69RCIXIbd2KB/A++yzJAwdINTWJfE3V2Gn8NXk8HmzbxjTNqnlN1djJMAxcLhcul4tCoVD21zSTZRusG4bhB/4t8OAin+d3gd8FWLduXRm2rDo5jjPxC6ZWNm0lg3ZavJq33yYfCmH6/ZDN4vj9FEIhat5+m9F77y3b93FdukRhyuy54/djDQ4Sb2+noaODQiYDtbUYiQRur5eR2y5feZVIGJw/7yGVcuE4NjU1DqdPe/jJT8L09rrp63MRj89tW3w+iERsPvnJEbZsyRMOF//S3rgxS13d5H/IlO3lL4jV1UXo5EmMkydxtm4lds01sGXLkn/f+exX478/BcDo6sLxerG9XqyuLuz168k1NEz7dfmmJtyjoyUfM0ZHyTc1LXbzKyK3di2pAwdK/lG4HL9A+v4nQ82RIxS8XmyPBwwDx+/HDgapefttUvfcU+nNU1Povy3kqFSrJbtmHWDsNPh/cBxnj2EYe4FnKS4gB7ABuAjcCvxfwM8cx/na2NcdB+6Z7TR4vWb96rxeLwCZ+dy4V1WEtpJBOy1e5IkniqegTz6zynGw+vqIfu5zZfs+zT/7GeboKNmx1ath9uvSk+va6O62iMddpNMGdXUFTp708MtfBjhxwks0ajE8PLfv7/FAc7PNBz4wwnXXpamttTEMWL8+S12dXbbXWS6VvKZ7PvvV+O+Pa3AQ/5Ej2DU1OF4v7v5+0nv3ropr1itJ3wNliDzxBM7evWAY5Mdvh7cE77OqPHS/kmMpW1XkmvWpHMd5C5i4L4dhGOeAm8cWmPse8FnDML5OcYG5Eb1efXH0fo1yaCsZtNPiLdetuBI7dlD3wx9iOs601/VOvg66r8/NpUtuRl83CIcL9Pe7OHLEx5Ejfnp7XVy65OJy+vGDDFce5LYsaGy02b8/zu23p6irs3G7obk5TySyslf5reQ13fPZr8Z/fwqNjaT27cN79izugQHyDQ0zDryX41Z21bLa/Ez0PVCGXCSC+9Il7GBw4mOr/ZaHK5nuV3JUqtVS3rrta8A9QJNhGF3AHzqO88WrPPwHFFeCP0Vx5v3TS7Vdq8X4tWV6K4iVT1vJoJ0Wb7kWx3I2bSLxwQ/ifuaZaQdn8bjJxYvF2615PA75PLzxho+OjgDRqIu+Pjep1NTbq105UHe5oKHBob09ziOPJKmpcaipcaitzbNhg5zfk+W+Hdhk89mvJv/+FBoaSHs8c54hX8pb2ZXcDnDKgobVNGDX90AZku3tNL/2GnmXi6zjLMsihGrhdL+So1KtlnI1+I/N8vlNk/7bAX5/qbZlNcpV+gJINWfaSgbttHiLneGc6+xlLpcj19REYdKtrLJZg4vnLOJxk0zGJBDIc+aMm+efD9Hd7aanx83IyOSFTx1KB+jFQbppFmfQ9+wZ5SMfGcHlMqirs/H7bTZvlrl2+3Kd8TDt957HfrUcM+QLUU2rzc9E3wNlyLa1MWBZBF59dUXtJ2p6ul/JUalWy7oavFo+4ysL6uk1K5+2kkE7lcdCZzjnM3s53iqfL9DT42Zw0M3oqEEwWKCry83LL9dw6pSXnh4P/f0GMyctDtLr6mDr1lF+8zeHMU2DSKSAZdls3ZotuQRfokrcDmzcfPerpZwhX6hKnpmwnPQ9UJAtW0hu2UI6na70lqhZ6H4lR6Va6WC9SumROjm0lQzaqbLmM3s5OFigq8siFqvB53MYGjJ54w0fhw/7GRhw0dfnGjvN/WqKp8D7fA6trTne9744mzblaGjI4/HAjh1pTHPJXuqyq+SMdTXsV5U8M2E5VUOr1UJbyaGt5NCZdVVWeqRODm0lg3ZaHpNPdXdcLhzALBTwvfMOozfcwOS11O1gEN/x49QfPIi7L8oZ7za6Nt9Gfm0b4HDsmElHh59o1KSnx8vIyOzf3zShqSnPLbekePjhBD4fBIM2mzZlCQZX3kru5VKpGetq2K8qeWbCcqqGVquFtpJDW8mhM+uqrPRInRzaSgbttPQmn+ruWBaBl17CAZK33ort9RJ46SWS7e3kx+6nbV24QOZcP8e9NzFktOGPDzPw5ls842nlbH8t3d0eBgYM7DmMsRvdcVqvtfn1T6bx+yESyVNXV6C1VbsvpWrYr1bqtfTlVg2tVgttJYe2kkNn1lVZ6ZE6ObSVDNpp6U0+1d336qvka2sB8J47R3rnTgIvvYT36FHyd95JtNdk5LDJyLr95Gjgja41PH/mDi4O1dCTqiOe88zy3RxqjDzr6mI8suNdbmo+QyBs4lxzz4o7zb2abws2l/1KwutfidfSl5u+B8qhreTQVnLozLoqKz1SJ4e2kkE7Lb3JC3W54nEK4TA4TvG/GxsZuPEOLr1yib7X/RTq6rnkD/Fc3+2ceqeJC0N19CV92IwP0q+8FzoUb7e2xhpk74YoH77hHSyXQ0MgRVvdEGsSZ4nual+mVzs31X5bsNn2q2p//ZLoe6Ac2koObSWHzqyrstIjdXJoKxm009IbX6jLzOVwDQ7iuXAB2+ult34rxy+uYXS4icKuPby89hFefdVP9PQIF4fCDBf8jC8Kd7VBejhcXCzu0UdH2Hb6FzSYg9Q3wdbmAQDMeHxFLghW7bcFm22/qvbXL4m+B8qhreTQVnLozLoqq3w+X+lNUHOkrWTQTksv2d5O45NP4j13jmywju6BevoTtaTzjVw4nuWl6HaOeq7j/HNholEX+byfy4Pz8fuiXx6s+3wQiRRob09w552jeL0QDhfY3d7I2qd+Rt4XxnZW9oJg1X5bsNn2q2p//ZLoe6Ac2koObSVHpVrpYL1KuVwuQN8EJNBWMminpZdta6M/vJF+I8xwsoZCs4u345t5+dJ2OnvX0+naxFDMmvQVU2fRi39ubITt2zO8//1D+HzQ0GCzfn2Olpbxdq1iFgSr9tuCzbZfVfvrl0TfA+XQVnJoKzkq1UoH61XKnsvyx2pF0FYyaKel4zjQ0+Omv99NTd8aohtu5HB3K8ejjZwfrqcvXsOo46U4c146ez7O44GWlgJ33ZXgjjty1NQ41Nfn2bYtM+33lLIgWLXfFmy2/araX78k+h4oh7aSQ1vJUalWOlivUoZhVHoT1BxpKxm0U/llMgZdXRZDQy6yWTh50svpY3dyvtdH12gzl5zw2IJx4z/78WvSLw/Yw2HYvDnLI4+MEInY1NcX2LHDoaHBJpvNVuaFlVG13xZstv2q2l+/JPoeKIe2kkNbyVGpVjpYV0optawSCZOLFy1GRkz6+928/baPs2ctes469HZtI4EPcFE6SL88q26aDo2NDjfdlOD++1P4fA5NTQV27izecs3jme22bbJIOQtgqaz216+UUmr10sF6lXKc6VdEViuPtpJBOy3e8LCLixctYjGTri43b75Zw5kzFr29FgMDJqWXgU0eqBf/3++Hdety3Hdfkl27Mvj9Nm1tWdatK71+TFvJoa3k0FZyaCs5tJUclWqlg/UqZZpmpTdBzZG2kkE7LVxvr5u+PjexmItTp6zi6e6nPXR3exgZgcsD83GXb8FmUqDBTLBzQz8fbO2gbp0X75Zr2HZHmJqa0q/ydHYS6OjA53KRb2xkZMsWnZFd4XS/kkNbyaGt5NBWclSqlQ7Wq5Ter1EObSWDdpqfQgG6uiz6+90MD5u8846Ps2c9dHZ6uHjRTTIJVw7Sx9n4ydNcm+K+yOvc5zyHs/taNqwZZYf/KO6TP2doz4GSgbins7O4EFk4THbtWszBQerfeIOhAwd0wL6C6X4lh7aSQ1vJoa3kqFQrHaxXKbe7mFZvBbHyaSsZJHQan1m2olFykQjJ9vZlH6hmMgYXL1r095tEoxZvveXj3DmL7m4XPT0eMhm42iDdxCFsxNnUNMQje06xqaaPyJnX2X6DTXhbNwA2IfJAoKOj5LUFOjrIh8PYoRBWKAShEPmRkSsep1YWCfuVKtJWcmgrObSVHJVqpYP1KpXL5Sq9CWqOtJUMK73T5JnlXEsLZiJB/aFDyzaznEiY9PRYRKMuurosjh/3cPq0h74+i54eF7Z99VVU3W6or7fZty/FfbsuEOk+SmP6Ivv2JvAH+0hv3V7yeDsYxOrrK/mYFY2Sa2kBoFA8t37ax6mVZaXvV+oybSWHtpJDW8lRqVY6WK9SlmUBenqNBNpKhpXeafLMMoAdmn4G+momz8o7LhcOYBYKs87QDw+76Omx6OtzcfKkhwsXPJw6VTzVfWDA5OqnuoPXC2vX5rnnngR796bxeh2uvTbA+vX7gH2MAObBg5iJxMTrAjATCXKRSMlz5SKRice5amuLHxy71ZdauVb6fqUu01ZyaCs5tJUclWqlg/UqpUfq5NBWMqz0TpNnlsfNdWZ58qy8Y1kEXnoJB0jeeitmMjntDH1fn3ts4TgXb79dQ3+/i1OnvHR1WcTjcPVBuoPfb7BxY4YHH4yzZUuemhqHffuSVywYB5Bsby9u29jrMRMJ3LEYQ/v3X/VxBZ8PI5mc9nFqZVnp+5W6TFvJoa3k0FZy6My6Kis9UieHtpJhOTst5NrzyTPL46abgZ7O5Fl536uvkh+bmfaeO0fq5psnZuhHN7TR02PR0+Pm4kU377zj4+JFi64uFxcvehkdvfr3ME3w+222b8/w8MMJIpECdXUFbrxxhi+ieI/toQMHij+PsZnyof37r/h5TH5cYGQEM5kkl0gQ6OiY+LxaefT9Tw5tJYe2kkNbyaEz66qs9EidHNpKhuXqtNBrz+c6Az2dybPyrnicQjgMjoOrOEVOzh+i+0SB11+s4cIFN+fOFVd2Lw7aLWb60bjdEAza3HDDKPfdF6euDtavz7JtW3bOP5NsW9ucBtvjj/E+8wz52loK9fXLfu2+mh99/5NDW8mhreTQVnLozLoqKz1SJ4e2kmG5Oi302vO5zkBPZ/KsfCEUwkini88ZrOXMYAMXujy8PdLKmZ+HOHnSQ3e3m0uXZlo0zsHrhbo6m1tuGeWOO+KEQgZbt6ZZv35pV1ENdHTgtLVh+v0Uenrmfe2+Wl76/ieHtpJDW8mhreTQmXVVVnqkTg5tJcNSdpp82rvvnXcYveEG7Emfn+u153OdgZ5q8qx8dvNmfB2vcCaznqMb7+Wtw6309fs5YlxH55Egw8PmDM/k4PEYNDfb3HNPnOuuS+P3w/XXj1Jfb8/wdeVjRaPk/X7IXp6511XhVy59/5NDW8mhreTQVnLozLoqKz1SJ4e2kmGpOk097d1z6hSBl14i2d5OvqEBmPu15ws1Pivve/ElLnYXOB35BG9E19N7KsjR+GZOJ1oYjltX/XrDcPD5YP36PPfdF2fHjiweD9x+ewKPZ8k2e1q5SASP14vj92OPXUS/1D8/tXD6/ieHtpJDW8mhreTQmXVVVnqkTg5tJcNSdZp62nt6504CL72E9+hR8nfeOa9rzxfKtuGUcS1n1u7inUEPA47FiYsezvV5GBm5+ky621083X3LlgwPPBBn48YCgYDNrbemMGeagF9CyfZ2vM8+ix0MAizLz08tnL7/yaGt5NBWcmgrOXRmXZWVHqmTQ1vJsFSdpt5yrdDYSPLWW/G/+ea8rz2fL9uGri6L06c9vP22j6EhkxMnvJw96yUWu9r16Dk82NT4TbbvyfPww3Gamgo0NBS4/vp02bdxvrJtbSQPHKDmzTex3nxzSX9+avH0/U8ObSWHtpJDW8mhM+uqrHSnl0NbybBUnaa75Zrj9RK/5x6GHn98Sb6nbUN3t8WpUx7efNPH0JCLkyc9nDs30yA9jxebkC/LrevO8dCeUxj338bGjTmuuWbuK7svh3QkQvr++8ndfXelN0XNQt//5NBWcmgrObSVHJVqpYP1KmVW6hxUNW/aSoal6rSYW67N1/gg/eRJD6+/XsPIiMnp055ZZtKzeHEI+7Pcc80Z3rPlHAFvjhvcb2Ldu6fs21gOuk/Joa3k0FZyaCs5tJUclWqlg/Uq5ThOpTdBzZG2kmExnSav9p6LREi2t0+clr2YW67N9tzjxgfpJ054eO21GpJJk1OnPJw95SaWdIDpBurFld1r3Rnu3nCCu3d1EfDkad90jrrcAGY6Tf7gwRm/b6XoPiWHtpJDW8mhreTQVnJUqpUO1pVSaglNXe3dTCSoP3SIoQMHSgbsCxnozvbcjgPd3W6OH/fy6qs1JBIuTp2y6Oz0EI8bTD9It/H5TAIBhzvuSHLP9vNEXj9M+7ouahp9mIkEngsXio/0+a76mpRSSiml1OLoYL1KGcbVTmlVK422kmGhnaau9m6HQuTHPr7Qge34bHroueewvV4KO3eCYUw8t/9XHZx1X8PRo14OH64hHndx5ozF+fMzLxxXYxQI+PLcco/B3XfH8fvh1lt91N9zDTUdlyZm/nPNzTg+X1lfUznpPiWHtpJDW8mhreTQVnJUqpUO1quUbduV3gQ1R9pKhoV2mrraOxSvTbf6+hb0fJNn0zEMMAz8R46Q2rePQmMjvU4LRzqCPHOqnnTa4PRpz+yDdJdN0JPjzk2neXjNEbKPPMwttyQJBounfGUDpTP/kSeeIDd2a7RyvKZy031KDm0lh7aSQ1vJoa3kqFQrHaxXKZfLBej9GyXQVjIstNN0q72biQS5SGRB2zF5pr4QDmNkMtg1NaSOX+KVlpv4ydutDOdDHO3x0NXlm3mQToGgL8+dm85y/47TBApxbtt+icK9iWV9TeWm+5Qc2koObSWHtpJDW8lRqVY6WK9SutPLoa1kWGincq/2PnmmPrtlC/ar7/JmZhs/6ruJi91bORsN8W56M7Gk56rP4fOB3+vwnro3eGjnabxhD3c0vk1Dtp+hew4w281JlnMF+4XQfUoObSWHtpJDW8mhreSoVCsdrFcpy7IAvX+jBNpKhoV2Wuxq71ONz2qP1tTxdmYnP7fvpbPbojcZ5M2BHfRn/MD0txfxesHvt2lvH+XuuxPUJmq4J91NQ6yLXGOEofa5LRBX7tdUbku5T81l9X01d/r+J4e2kkNbyaGt5KhUKx2sVyk9UieHtpJhMZ0Wutr7dBK3tTPw5Iv85NJOjg63MTji4u3hdfRla7GvMkj3+aCmxuaWW0Z56Lqz1Hce465jr+BvrSV5TzvRtgPz3o5yvqZyW6p9ai4r+6v50fc/ObSVHNpKDm0lh86sq7LSI3VyaCsZVkKnaNTN86/t4a2RnYz2DfLW+RZ6RuvIYU3zaAefz6CmxuHmm1M88ECcUDzK/jN/S3CDBztYV7WDzaVqtRQr+692K2G/UnOjreTQVnJoKzl0Zl2VlR6pk0NbyTBbp9lOj17M6dMjIy5eftnH888HyGYN3jzhIxpdSzo9/eJxxdPd4aabEtx/f4JAAPbtS7Hp6e9jWUms42dxxeMUQiFykUjVDTaXap8q98r+St//JNFWcmgrObSVHDqzrspKj9TJoa1kmKnTbKdHL/T06WTS5O23vTzzTIhUyuTkSRddXT6SyasP0r1eh+uuS/O+940QCMANN6SoqyvebsR34gRWVxd2TQ2FUAgjk8F34gSuVKoMP6GVY6n2qZW+Cr5E+v4nh7aSQ1vJoa3k0Jl1VVZ6pE4ObSXDTJ1mOj0aoPkLX8A9OEi+qYnM5s0UGhtnPH06kzF4910vP/lJkGjUzcWLLs6c8RKLTX9Nut/vYBiwZUuWD394iIYGuP76FA0NpfcENWMxHNPE8fkAcHw+nEwGMxZbwE9k5VqqfWqlr4Ivkb7/yaGt5NBWcmgrOXRmXZWVHqmTQ1vJMFOnq50e7Tt+HE9Pz8RA3chk8B85QmrfPgoNDVecPm3bcPKkh2efDXL+vIeBAYMTJ2oYHJx+kG5ZDpYFa9fm+OAHR9i4scDWrRlaW6f/C8WurcUdi+Gk0zg+H0Y6jWnb5GtrF/IjWbGWap9a6avgS6Tvf3JoKzm0lRzaSg6dWVdlpUfq5NBWMszU6WqnR5uxGNn16ycG6o7Phw14z54l7fGUnD7d1WXx04NZzrw6QnxogDcGr6F/NEBhmhXeDcOhpgYaG20eeWSEHTuybNyYY/v2zIyvIb11K3ZNDe5oFFcsRiEUIt3aSnbDhvn/QFawpdynVvIq+BLp+58c2koObSWHtpJDZ9ZVWemROjm0lQwzdbra6dF2bS12MEh2yxb8R45QAByvF/fAwMTp04ODLn784yBHf5XHOdHHy/3Xcmk0QBbvtNtRU+MQDBa4554Et9+eobExxw03pDGnn3y/Yjs9hw6R3r69ZDuT7e2L+MmsPLpPyaGt5NBWcmgrObSVHDqzrsoqn89XehPUHGkrGa7WaXyVdzORwNfdjR0Ok962jaH9+yc+nm9oILVvH54zZ3D395NvaKD30Q/zi3PbefbZEJmMwbHDWXqHr2f0KoN0jwf8fptbb01x//0J6upsbrppFI/HmfNrWC2nces+JYe2kkNbyaGt5NBWclSqlQ7Wq5TL5QL0TUACbSXDdJ0mr/Ke3ratZKZ6fAA8PuOer6/H3r4d15q1/OqG3+Lb39lB/9ksncfinB+oJ+6E4Ir7pdv4yOAJ+9ixI81jj41QVwc335wiELBZiPmcxr2Y281Vku5TcmgrObSVHNpKDm0lR6Va6WC9Stn2wv4hr5aftpJhuk4zrQI/PiiePJPdF2zjq3yKN59ex+CFHCeO1TCYr+HKt+ICNSRxG242R4Z47DNumprguutGaW5entOvFnq7uZVA9yk5tJUc2koObSWHtpKjUq10sF6lDGP6+zCrlUdbXbaYmdylngWertPVVoGfvMp7tq2N5LpNvPBCDc89FyIWM3jjjRoGL3kpXDGTXsBHCjcG6zyDfLz5KRo/8R7abg2zefPyLmwy24GIlUz3KTm0lRzaSg5tJYe2kqNSrXSwrpRaERYzk1upWeCrrQI/eZX306c9fOc7Yfr63Jw65eH8eQ+ZDICr5Lm8JLEo0MgIH2z5JfvWdNHanKT54zUYxvKvQDqXAxFKKaWUUmrp6GC9SjnO3BedUpWlrYoWM5Nb7lng6WbpnWuvveIx7oEBgi++SK6xkfSOHZipFDUnTpBtbYW/+S5fGXqM1y82MDhocPx4gFjsytYucngZJWTmuK/pVR5Y+xa1+9ZwcziGK1zDUIUOus/lQMRKpfuUHNpKDm0lh7aSQ1vJUalWOlivUuZc7uOkVgRtVbSYmdxyzgJfbZY++clPklu79orHJO66C++xY4SffRa7pob4dTfyw9F7+PEPNzMci/P6aCv9I16Kd/ooHXl7GKXGbXPrmvM8bn6TJk+Mvbf5qAkMFm/t9uC9897+crna7eiG9u+v2DbNle5TcmgrObSVHNpKDm0lR6Va6WC9Sun9GuXQVkWLmcmd79fOdH371Fl6M5fDOnuWxv/yX0jcfjvOnj0lj7GB/F13wfPPcyzeypePf5LeWIjjlxo4119PeppbsVmWg8cDbS1ZPn7NC7QZ3dy8Pke9D4xCklyg8rdUk3ybN92n5NBWcmgrObSVHNpKjkq10sF6lXK7i2n1VhArn7YqWsxM7ny+drbr2yfP0rsHB/EfOULB68VobMRtWdQfOoSZSJDetm3iOYdTXr58+lEOx3fSXdPCiUvNDGW9TH2LNQzweBzq623e+94R9uzJsWPHLlpbt5EHLi3i57cU5nObt5VE9yk5tJUc2koObSWHtpKjUq10sF6lcrnlX5BKLYy2KlrMTO58vna269snz9J7zpyh4PMBkE8myWezEA7j6+7GTCTIB8M8/e42fnriGoaG4ryVuJZLg/Xk8FI85f3y9U1eL/h8NjfdlOLhh5OsW5djz540LtcVm6gWSfcpObSVHNpKDm0lh7aSo1KtdLBepSyreEsoPb1m5dNWly1mJneuXzvb9e2TZ+ldsRi214s5Okp23z5ctbXkUinscJgTZ/x8rfNOutL1nOxp4EJsK6P4Jz2rAzh4XDYuj8nmzRk+9KEY69blufHGNIGA3lt1qeg+JYe2kkNbyaGt5NBWclSqlQ7Wq5QeqZNDWy2v2a5vnzxLD4DjkNq3r7gK6PAwsf4C/+/Ab/FK5joGo2lORRsZzPuY+nbqJoPbY9LQZPLoo4Ps2JFnz54U69bpX8hLTfcpObSVHNpKDm0lh7aSQ2fWVVnpkTo5tNXSGV9IznfiBGYshl1bS66hAevSJbKtrRiZDL5338UaGCC1ezdNf/EXmIXCxKJz47PsjseDGa7lhy+v4Znn6+gKb+V4dx0DAy4KhSvvrWZZEAhY3HZbkv37U6xfn2P37sWf8j7TwnjqMt2n5NBWcmgrObSVHNpKDp1ZV2WlR+rk0FZLY3whOadQwOrqwjFN3LEYdk0NAFZvLzVHj5JrbGR0925qTpzAAZK33oqZTE4sOjd04ACDT7/Dwb/ZzPHkOt7NrKf33QCjo1d+T8sq/m/LljQHDsRYvz7PDTeU55T32RbGU5fpPiWHtpJDW8mhreTQVnLozLoqKz1SJ4e2WhrjC8n5jh/HrqnB8flw0mnc0Sjp7dvxHTtG7L77sEMh/K++Sr62FgDvuXOkbr6ZPOD/VQdfCf4v/PLMbfQ5Fqd7vAwPO1d8L8tycLkcGhoc3v/+YbZvL57yvnZt+ZrOtjCeukz3KTm0lRzaSg5tJYe2kkNn1lVZ6ZE6ObTV0hhfSM4Vj1MYG+A6Pl9x0bhgEE9fH6lbbgEoPiYcBsfBFY8DcCa7ga/9ZBtv1Yc4dcpDX5+b4vtz6WnvlgXBoD12yvsora1ZduzIlH2V99kWxlOX6T4lh7aSQ1vJoa3k0FZy6My6Kis9UieHtloa4wvJFUIhjEwGx+fDSKcphEKYiQTZsVPJ7VCo+Jh0GoB8MMQ3juzll0c3cCbRyNnOGmKxaa5LJ4PPKLCjqZ9HPpCi9aYwe/cu3Srvsy2Mpy7TfUoObSWHtpJDW8mhreRY0TPrhmHsAXYBvvGPOY7zt0u1UWrx8vl8pTdBzZG2Whrji8PlIhF8J07gZDKYtk26tRV3LMbwgQMEX36ZPJDdvJnASy9xPNXKX7s+w7HhtZyONnEx24jtlA7UvYziIk9LIMkHb3iXnXUXuXnoKIG195INLN3p6JNvKWcHg5iJBO5YjKH9+5fse0ql+5Qc2koObSWHtpJDW8lRqVazDtYNw/hD4B6Kg/UfAI8AzwMzDtYNw/gS8D4g6jjOnrGP/QnwfiALnAY+7TjO8NjnPg/8I6AA/DPHcX60oFekAHCNnYOrbwIrn7ZaGpNvweZKpTBjMfK1tWQ3bCDZ3g5AweMh8Mor2Db8v/wvPJ/ay9mRRs7EI8TzPkpPeS/gMRxqnRR31x/m4Y1vsXZXA7tb+rCSNvYSXzs++fVYfX3kIhGG9u/X69WnofuUHNpKDm0lh7aSQ1vJUalWc5lZ/whwPXDEcZxPG4bRAnxlDl/3JPAFSgf1PwY+7zhO3jCM/wR8HvjXhmHsAn4D2A2sA35iGMY2x3H0nJAFsu2lORVXlZ+2WjrZtrZpB7OTV1Z/eedH+fpLuzjR18TJXBvRkRqmJnGTxWc57Fg7yMfcX+eaphFudh2BtcVB/3JdO36116NK6T4lh7aSQ1vJoa3k0FZyVKrVXAbro47j2IZh5A3DCANRoHW2L3Ic5xeGYWya8rFnJv2xg+KBAIAPAF93HCcDnDUM4xRwK/Crmb6HaZq43W5cLhe2bWMYxvj3wTRNCoUCbrebXC6HZVmz/n+hUMA0TRynuNqzYRjYto3L5Zrzc+Tz+UVvTzmewzAM3G73xM+pGl5TNXbK5XL4fL6qe00rvVP43XfJbd7G3766l1+d28Sp3gDnB8Mk8hNX+kzwkqPeP8qH3tPLzZuj3B4fZn32HHZwA+mmJpxsFpfjkPf78fl82mkFvCbTNDFNc+J5quE1VWOnQqGA1+vFcRwMw6ia11SNncb/vTX+b4pqeU3V2MlxHCzLmni+anlN1dgJwOPxVN1rqsZOhmHgcrkmnr/cr2kmcxmsv2oYRh3wP4DDQIJZBtFz9DvAwbH/Xk9x8D6ua+xjVzAM43eB3wVYt25dGTZDKbXavPOWxdfO3s3RC3WcG6ynd8SLM+Xt0O0Gj8fh+u2j/Hr9j9m9L8DutkF8nS5cbySKM9yOg5FM4nIcUlu2EP7xjzFOnsTZupXYNdfAli0VeoVKKaWUUko6Y/yIwbSfLB4G2OA4zoWxP28Cwo7jvDmnJy8+/h/Gr1mf9PH/A7gZ+JDjOI5hGF8AOhzH+crY578I/NBxnG/O9Py7d+92Dh48ONNDVq3xozS5nN4SYqXTVssnkzH49rdree3vL3HmUgPdI2GSTs2URzl4vQaNjXkefXSEPXty3NZ8graLb+EeGCDjcpFtbcVz4ULxdmqRCNnW1uJideFw6eJvBw7oaesVoPuUHNpKDm0lh7aSQ1vJsZSt9u7de9hxnJun+9yMM+tjA+kfAHvH/nxusRtjGManKC48t9+5fKSgm9JT6zeMfUwtkGmald4ENUfaau48nZ3FBdbGBsnJ9vY5D4bfeMPHU0+FOX7coisaJDpiAp5Jj3BwGeCtgX37Ujz0UIIdO7Js357GNNcRv3kzAJlMBoDkpK+sP3iwOFAfu62aHQqRBwJLvOicmp7uU3JoKzm0lRzaSg5tJUelWs3lNPjXDMO4xXGcVxb7zQzDeBj434G7HcdJTfrU94CvGobxXyguMLcVeHmx32810/s1yqGt5mbyonC5sXuk1x86NOvsdSpl8K1v1fHSSz7On3fT0+MhnTYorvRePF7oIoPLsliz1ubRR+Ps2pVm375RamsvLyYyUycrGiXX0lLyseVadE5dSfcpObSVHNpKDm0lh7aSo1Kt5jJYvw34TcMwOilOJhkUJ92vm+mLDMP4GsVbvjUZhtEF/CHF1d+9wI/HLrTvcBznnziO845hGN8AjgJ54Pd1JfjFGV8IRm8FsfJJbrWYme75CnR0zHv2+tVXffzgB2GOH/fS3W0yMDC+iMflW7K5XOD3Gty14V0eXfcqOwppNmy6hlxt6XPO1CkXiWAmEhPbBmAmEuQikUW84vJYzkYrheR9arXRVnJoKzm0lRzaSo5KtZrLYP2hhTyx4zgfm+bDX5zh8f8P8P8s5HupK+m1L3JIbbXQme6Fms/sdSJh8O1v1/PCCzX09Jh0d3vJZic/ojijblmwqSXBr7f8mF2tw9y0bYBwbhD3d9684nXM1CnZ3l78WYxt08Q16/v3L+YlL9pyN1oppO5Tq5G2kkNbyaGt5NBWclSq1VwG61dfgU6tWOOLIOjpNSuf1FYLmelejLnOXr/1lpdvfzvMsWM19PaaDAxc+TbndkMgYHPHHQnea/2U6+vPsqWteC267Zv+dczUKdvWxtCBA8UZ7L4+cpEIQ/v3V3xAvNyNVgqp+9RqpK3k0FZyaCs5tJUclWo1l8H6UxQH7AbgAzYDx4HdS7hdapH0SJ0cUlst93Xas81e53IGP/xhiKefDtDZ6ebiRQ+Xz1QqXp/ucjm4XAabN2d49NEYu3Zlue+FF/BsqGfyqfHTvY7ZOmXb2lbcAHi1XksvdZ9ajbSVHNpKDm0lh7aSY8XOrDuOs3fynw3DuBH4vSXbIlUWeqRODqmtlvs67Zlmr3t63Hz962Fe/YVFb1eOaLqGyQvIgYNlQTDocNddcd7znjR79oyyYUMOz7m6Ob0OiZ1W8rX0S0liq9VKW8mhreTQVnJoKzlW8sx6CcdxXjMM47al2BhVPnqkTg6prSpxnfbU2WvHged/GeB73wtx/E2TSxdtEtSXfI3bcHB7DbZtS/PQQwl27cqwZ08an8+Z1+uQ2GmlXku/1CS2Wq20lRzaSg5tJYe2kmPFzqwbhvHPJ/3RBG4ELi7ZFqmy0CN1ckhtVenrtONxk299K8xPfxqip8egt9dF6VtaFguHxpo0v/aoQ3t7muuuS7FmTenPea6vQ2KnSjeqFImtVittJYe2kkNbyaGt5FjJM+uhSf+dp3gN+7eWZnNUueiROjkkt6rUddrvvOPl29+u5fDhGgYGTIaHJ7+VObjI43U57F1zkcdaX2HTB29nx44MHs/062XO5XVI7bQSr6VfalJbrUbaSg5tJYe2kkNbybFiZ9aBo47j/P3kDxiG8VHg76/yeLUC6JE6ObTV3KXTBs8+G+K73w3Q1eWhu9uDbU9+RA4Tm2Z/mkd2vMuda09y47WXsK5LL/p7ayc5tJUc2koObSWHtpJDW8mxkmfWP8+VA/PpPqZWED1SJ4e2mpueHhff+EY9v/qpm/6eLH2jgSmPKOClwK6mHj6w7zi3Np7i+poTJB54jOy0zzg/2kkObSWHtpJDW8mhreTQVnKsuJl1wzAeAd4LrDcM479N+lSY4unwagXTI3VyaKuZFQrw0ks1HDoU5t03XFzqsUnSMOkRNi4cgrVwzw2DPFx/mDsCr9O42Uei/bGynQKuneTQVnJoKzm0lRzaSg5tJcdKnFm/CBwGHhv7/3Fx4A+WcqPU4ulOL0e1t/J0dhYXOItGyUUiJNvb5zyAjsVMvvvdMD/6UZBo1KSnxw24Jj0ihweHjXVDPPSbLm66yea6627A9F7PUJlfR7V3qibaSg5tJYe2kkNbyaGt5KhUq6sO1h3HeQN4wzCMrziOozPpwpimWelNUHNUza08nZ3FW4eFw+RaWjATCeoPHWLowIFZB+zHjnn41rdqefVVP5cuQSzmmfRZB5M8Na48t288x/s3vMK1730PGzcu3SlK1dyp2mgrObSVHNpKDm0lh7aSo1KtZjoN/i3AGfvvqZ92HMe5fgm3Sy2S40y/6rVaeaq5VaCjg3w4jB0q3lTCDoXIA7VPPUW+sXFitj3b2ornwgWsaJSEXcPTZ/fw9+/s42zSz/m4C2fKbLoLgzXBGI9d8zp327/gruxh+NV5kk77xPddyEw+XP1MgGruVG20lRzaSg5tJYe2kkNbyVGpVjOdBv++aT5mAK0UF5hTSqkZWdEouZaWko+Z2SzBF18kdt995FpasC5coO573yN1442ct9fzzafX8oPhm4kaTfRmmii+7Yxz8JJn37pu3rflTe4Z+B7X+U+Ruvk27GSSxiefBCDb2jrvmXyY+UwAtm4t3w9GKaWUUkqpWcx0Gnzn+H8bhrEP+DjwUeAsep/1FW+asyHUClXNrXKRCGYiMTGzDuA9doxcY+PEx6xolFSwgeffbuErnXfy5uA1XCzUkyI86ZlswKSuzub+W/p5MPQ6+7u+SsPaNKld7eQbigvOuQYHi4/etav4/2Mz+YGOjjkN1q92JkCgo4PUtm2L/nmo5VHN+1S10VZyaCs5tJUc2kqOSrWa6TT4bcDHxv7XDxwEDMdx7l2mbVOLYJfefFqtYFJbzWXhuGxrK41PPolRKJBvbCTf0oI1MED8zjsnHjMyAF+PfZhDne30pGu5YK+ndBG5AhYFtmy3efjhOLfcArt2XU/wL39BsqUFJr15mtkrb9JmB4NYfX1zek3TnQkw/vVSO61G2koObSWHtpJDW8mhreSoVKuZToN/F/gl8D7HcU4BGIahq8AL4XIVBzt6/8aVT2KruSwc5+nsJPjyy6S3b8fq68M9OIh7ZITUrl04Xi8Ax/sa+drF3+H5vt1Es0EGaZ70XRygQNiV4a5rz3DnJ5u5+eZR1q0rrnc53ay97Zm8CF2RmUiQi0Tm9Lqme87xr5fYabXSVnJoKzm0lRzaSg5tJUelWs00WP8Q8BvAc4ZhPA18ndKLR9UKpju9HBJbzXS6+PhgffJjchs3AmDG45jpNM5wkl+8uZYvHb6BU8NrOE8zNv5J3yGHC2gNDvKBtsNc/xtr2fNAgpqay4t7JNvbaXzySVyDg5jZLLbHg2NZ2KEQZjyOHQxiJhK4YzGG9u+f0+tKtrcXD0LAFV9fENhptZK4T61W2koObSWHtpJDW8lRqVYzXbP+HeA7hmEEgA8A/xsQMQzjvwOHHMd5Zlm2UC2IZVmA3r9RAomtZjpdfLbHJIcKHMx9lO+9EKIrXc9FNkx59jx+8ty85iwPXd/Jvg/U0/prQcZuTjEjOxQi9sADxZXl+/rIRSIM7d8/59Xgs21tDB04UDy9f8rX+wR2Wq0k7lOrlbaSQ1vJoa3k0FZyVKrVTDPrADiOkwS+CnzVMIx6iovM/WtAB+srmB6pk0Niq5lOF5/pMRe7XXzl+KP88PhW+jJeYlcsIufQ3Gxw330Zbr+9nltu8RIOT3+NUKCjg2xr68RiclCcufdcuMDQ448v+LVl29qmHdxL7LRaaSs5tJUc2koObSWHtpJjxc2sT8dxnCHgr8b+p1YwPVInh8RWM50uPt1j8oEQrx5v4KsvX89Lo9fTPejGZvL15TYWBfY2XODeT4a45ZZRdu7MYJpX34a5zO6Xk8ROq5W2kkNbyaGt5NBWcmgrOVbszLqSSY/UybEUreayUvtin+9qp4uPGz+l3PjFYZ57oZkvn7qbM6m19A74pzx7nlpzlHu2HOf+3RfY/ej1NDfP/kY4l9n9ctJ9Sg5tJYe2kkNbyaGt5NBWcoiYWVdy6JE6Ocrdai4rtZfr+WY73fxiYAvfz1/PD3rCXBwxicWsSZ+1MchxjbuHDzf8hNvX9XLNp+6AOQzUYW6z++Wk+5Qc2koObSWHtpJDW8mhreTQmXVVVnqkTo5yt5rLSu2LeT4jm8U6e5Y1//E/Er/33olZ+6mz7680PcA3X9nGL34RpLfXJJebfO/0PBY5bg0c5UORX3J3y9ts2B3i0rWtcz4rYKbF4JaC7lNyaCs5tJUc2koObSWHtpJDZ9ZVWemROjnK3arc13JPfj7XwAD+I0ewa2rAMDCTSeoPHSJx660EX36ZfDhMonEdz7+1lm8cNjmc8tE7aE15xhwhRnmwoYP3N7zIHfdk8a/djNHXN++zAq62GNxS0H1KDm0lh7aSQ1vJoa3k0FZy6My6Kis9UidHuVuV+1ruyc/nPXu2OFAHCmOz7Xmg7tAh0jt3MuBq5uk3t3PwtT109oe4lKuZ8mwFNrqjfHjtz9m/7ijtgTcwL1qkQ9vJRSJlPyugnHSfkkNbyaGt5NBWcmgrObSVHJVqNcNay0oyy7ImjgCpla3crZLt7bhjMcx4HBwHMx7HHYuRbW2l/uBBIk88Qf3Bg3g6O+f9fK5YDBwHVzpNdssWoDhr7+nr493UJr708o381a9u5lhvE5dyDSXP4ybLTTXv8nuRb/Ap53/yHvMFTJ+Fe2AAdyxGsr0dKxrFDgZLvs4OBrGi0fL8cBZB9yk5tJUc2koObSWHtpJDW8lRqVY6WK9S+XyefD5f6c1Qc1DuVuPXctuBAFZfH3YgMHGauplMFk8vHzt9fS4D9snPNy61bx/5huJg3I6l+Il7P3/1i+v51hvXcXKwkaQTKHmOGk+B94V/zj/Z8B0+uvsIm1rTWH19eLq6yNfXT5zmPj6LP9lSrvA+H7pPyaGt5NBWcmgrObSVHNpKjkq10tPgq5TLVVzMS98AVr6laDX1Wu76gwcXdXr5+PONr8BuWxY4DsmBHD97ZwtfTTzI8dM+erMNU77Soakpz4e2vMSDdW9zT+xnuGwPhfp6Mi4XRqHApc9+dmIblnuF9/nQfUoObSWHtpJDW8mhreTQVnJUqpUO1quUbduV3gQ1R8vRqlyLzk1egb37RJ4fDrVz8MLtnO/zk8xOPTXIZufODA89lODAhV9wzS6H3OB1mGfP4orHKYRC2KHQtPdmX64V3udD9yk5tJUc2koObSWHtpJDW8lRqVY6WK9ShmFUehPEmuutw8plOVrNZdG5ub7uzMY2ftW/g591+fnZS0G6utzk86VX1LjdDnfeOcoDDyS4884E1zxrYyaSFBobSTU2Fr9/PF5yav245VzhfT50n5JDW8mhreTQVnJoKzm0lRyVaqXXrCs1yfitwxZybfdKdrVF55Lt7cDcX3cqZfDTnwb5xjfCPP10mHPnPFcM1Ovr83zoQ8M8/vgIjzwSp6nJnvX7K6WUUkoppUrpzHqVchyn0psgUiVuHbYcrWY7vXwurzsadfHCCwG+850QZ85YDA9f+faxZUuaRx5JcvfdSXbuzMz5+0ug+5Qc2koObSWHtpJDW8mhreSoVCsdrFcp09STJhaiXNd2z8dytZrp9PLZXvfp0xa/+EWAQ4fq6OoyyeVcJY91ueCWW5I88ECCu+9O0dJy5eIbK/X09rnSfUoObSWHtpJDW8mhreTQVnJUqpUO1qtUoVCo9CaINJdru8ttJbSa6XUfOVLDc8/V8KMfhbl40Q2UXrPj9xd48ME49947yu23J6mpufLI43KvA7AUVkInNTfaSg5tJYe2kkNbyaGt5KhUKz2cU6Xcbjdutx6Lma9KXFu9ElpN97oZivMP5vs5dCjIP/xDLRcvWkwdqLe2Zvn4x0f46Efj3Htv4qoD9WpYB2AldFJzo63k0FZyaCs5tJUc2kqOSrXS344qlcvlKr0JIlXi2uqV0Grq6+4PtfLjlo/z3V9u4pVXakgkrnyr2LcvxcMPJ3nPexJs2HD1e05WYh2ApbASOqm50VZyaCs5tJUc2koObSVHpVrpYL1KWVbxntd6es38Lfe11Sul1fjrvnjRzeuv+zl4MMTbb3vJZkuvT/f5bO67L8a996a5884EodDMC25UYh2ApbBSOqnZaSs5tJUc2koObSWHtpKjUq10sF6l9EidHCup1cmTHl57zcfXvlbPmTMWjlN62ntzc5b3vS/O3XenuPHGNHO55WQl1gFYCiupk5qZtpJDW8mhreTQVnJoKzl0Zl2VlR6pk2OltHrzByO8+YMhvvbKdZxPuZh6ffqWLWk+8IEE992XYNOmub9hJdvbqT90iDzFGXUzkcAdizG0f395X8ASWymd1Oy0lRzaSg5tJYe2kkNbyaEz66qs9EidHJVulcvBK99N8vo3LvHdznYupuqYOlC/6aYU739/nP37E9TV2fN6/mq4xzpUvpOaO20lh7aSQ1vJoa3k0FZy6My6Kis9UifHcraaegu1rl2/xq/6tvHCN2P85PgdDNu1JY93k+a9bW/xaFsnt19Xj1G3cUHfV/o91kH3KUm0lRzaSg5tJYe2kkNbyaEz66qs9EidHMvVavwWavlwmFxLC13dFkdfPM6hkV288s4ORglMerRNiBEeb3iWh+8e5faGo1hPxRg6cED8oHuhdJ+SQ1vJoa3k0FZyaCs5tJUcOrOuykqP1MkxtdXU2e9ke/uCB8iTn8s6f578mjXYoRDH+iIcHWzir1+/gaODYQp4J31VgbWuAT7e8jQf2nKYtk0tOITIG/Jut1ZOuk/Joa3k0FZyaCs5tJUc2koOnVlXZZXPX/2+12plmdxq6uy3mUhQf+jQgma0pz5Xzeuv4xqJ8auRPbyZXM8XX7qZcyN1gDXpq3Jsa+jnUzXf5LGWF2i6YQPjWyfxdmvlpPuUHNpKDm0lh7aSQ1vJoa3kqFQrHaxXKZereG9sfRNY+Sa3CnR0kA+HJ25zZodC5FnYjPbU54rVreOF85s50lvL3/ZNt5CcQ/uGTn5980t80NNBsLWObEPDxGcl3m6tnHSfkkNbyaGt5NBWcmgrObSVHJVqpYP1KmXb81uxW1XO5FZWNEqupaX08wuc0Z78XJcSft50PUDHYIC/j95LP/Ulj3W7Hfbvj/HII37uvvtWct0tcOgQZjwu+nZr5aT7lBzaSg5tJYe2kkNbyaGt5KhUKx2sVynDMGZ/kFoRJrfKRSKYicTEbDgsfEZ7/LnO5DZyPNrMd87u4NnoJlIEJz3KIRBweOyxGI88EmffvjRQPbdbKyfdp+TQVnJoKzm0lRzaSg5tJUelWulgXakVJNneXrzOHBY9o524rZ3uv36FM7kg/+8bt3Kkew0FPCWPaWrK89H7L/B47Y/Y+fwxcicuL2hXDbdbU0oppZRSSiqz0huglobjODiOU+nNUHMwudX4jLYdCGD19WEHAgtaXC6XM3hleDsdbY/xJx0P8mr32isG6lu2ZPjMB8/wT/hrttWcLy5ol0xSf+gQns7Osr2+aqH7lBzaSg5tJYe2kkNbyaGt5KhUK51Zr1KmqcdhKmEht12b2mqxM9qplMHrr9dw8qSHr31rLd2DV+7mN92U5IMfTPDh2HepCzllWdCu2uk+JYe2kkNbyaGt5NBWcmgrOSrVSn9DqlShUNB7Ni6z8VulmcnkvGapy9kqFjM5fNjPK694+eIX6+nuLh2om6bDgw/G+PSnR3jssRiNI13YwWDJY+xgECsaLcv2VBPdp+TQVnJoKzm0lRzaSg5tJUelWunMepVyu4tp9VYQy2eht10rV6uBARdvvunjV7/y8Z3v1DE6Wnoszu93eOyxEd7//jjXXVdcSK6cC9pVO92n5NBWcmgrObSVHNpKDm0lR6Va6WC9SuVyuUpvwqqz0NuulaNVT4+bY8e8/OQnfn74wzD5fOlAvbk5z4c/PML73pegrS078fFyLmhX7XSfkkNbyaGt5NBWcmgrObSVHJVqpYP1KmVZFoCeWrOMrjZLbbtc1B88eNXr2Bfb6vx5D6dOefj2t4P8/OcBSq9ucdi4Mcvjj4/w3vcmaGoq/R56i7a5031KDm0lh7aSQ1vJoa3k0FZyVKqVDtarlB6pW37TzVJ7LlwAwPH5itexJxLUHzpUssL7Qls5Dpw65eHCBYuvfKWWV16pASbfA9LhhhtG+fCHYzz4YAK/f/oVLPUWbXOj+5Qc2koObSWHtpJDW8mhreTQmXVVVnqkbvlNN0udb27G9vlmvI59Ia3yeTh1ysv58xZ/8zf1vP2274rH3Hdfgo98JMZdd6UwjGmeRM2L7lNyaCs5tJUc2koObSWHtpJDZ9ZVWemRusqYOksdeeKJ6Vdb7+ubuM2bJ5kk39SEff31M85wjz8+f3GIo8YuOutv4S+/s51Tp7wlj3O74dFHY/zmbw6zc2em5Gvnc0s5VUr3KTm0lRzaSg5tJYe2kkNbyVGpVnrrtiplWdbEESBVOePXsU82cR372G3enK1bcft8M97mbfy2cMnBPG8buzl6NsRf/PemKwbqNTUOjz8+xGc+M1QyUF/ILeVUKd2n5NBWcmgrObSVHNpKDm0lR6Va6cx6ldIjdSvD1VZbtz2ey7d5GxnBNTSE5+xZ1vzxHxO/554rZr4DHR0MpXx0vjrEiU6DPxv+FBdYV/K9wmGbj31smA9/eIS1a/MlX7uQW8qpUrpPyaGt5NBWcmgrObSVHNpKDp1ZV2WlR+pWhvHr2O1AAKuvDzsQYOjAAYxCYeL0eI9pEujvn/ia6Wa+Y29FOftKkldOreE/Df8uFygdZDc1Ffjt3x7iYx8bLhmoQ/GWctOeih+NlvvlVjXdp+TQVnJoKzm0lRzaSg5tJYfOrKuy0iN1K8d0q61Pvs2b6403yGcyYBgUxmbAJ8989/a6SXbX8nJvM3+e/DgjNE16pjxtoRF+/dN5DhyIEwpdueL71W4pl4tElugVVyfdp+TQVnJoKzm0lRzaSg5tJUfVrQZvGMaXgPcBUcdx9ox9rAE4CGwCzgG/7jjOkGEYBvBnwHuBFPApx3FeW6ptWw10dcmVbfLp8W6PBycYxOnpIbVjB1Cc+Xb39nHhgkVnp8Ubg+38beIOUtRPepYc28yz/NN9L/Oe37gNj+fyZyYvKGe7XFiXLpFtbS05FX9o//5lfc3S6T4lh7aSQ1vJoa3k0FZyaCs5KtVqKU+DfxJ4eMrH/g3wrOM4W4Fnx/4M8Aiwdex/vwv89yXcrlWhUCjojr+CTT493onFsEdGSO3bR6GxEQAnluS4awdnznh45pkQf3Xm/ikD9Sw3WCf4/2z/Gh/+tc4rBuqTF5RzfMXbupnpdMmp+LNdr+7p7KT+4EEiTzxB/cGDq35BOt2n5NBWcmgrObSVHNpKDm0lR6VaLdnMuuM4vzAMY9OUD38AuGfsv78M/Az412Mf/1vHcRygwzCMOsMw1jqO0zPT9zBNE7fbjcvlwrZtjLGbSTuOg2maFAoF3G43uVwOy7Jm/f9CoYBpmhQ3AwzDwLZtXC7XnJ8jn88venvK8RymaeJyuSZ+TtXwmqqtk7l9O7EtWzCSSfzPPYerUACvl1wsQ0+mjnfX3cM//EMdTz9dA0y+UXqGOyLn+P+s+zK3P+hj4O578fl8E9sTevddnC1bMINBjHweo6WFfCiEsWYNA/fcU/wZ5nL4ZnhNrgsXqHvxRfKBAPb27XhyOXzPPUfiAx8g1dS0qjqN/7/P58O27ap6TdXYybIsXC4XhmFMPE81vKZq7FQoFPB6vROvp1peUzV2Mk0Ty7Im/k1RLa+pGjs5joNn0hH8anlN1dgJwOPx4DhOVb2mauxkGAZut3vi/a/cr2kmy73AXMukAXgv0DL23+uBC5Me1zX2sSsYhvG7hmG8ahjGq4ODg0u3pcKN/3KplS/X3Ezszjux/X4yF2OcSzXzRut+nvzhpisG6iYZHm54jT++9VvceL+Hkfe9j+yGDSXP5x4YwPb7Sz5mBwK457G/+F97jXwwiB0IgGFgBwLkQyFq3nprUa9VOt2vZNBOsmgvGRzH0VZCaCdZtJcMlepkLOU3HptZ/4dJ16wPO45TN+nzQ47j1BuG8Q/AHzuO8/zYx58F/rXjOK/O9Py7d+92Dh48uGTbL9n4UdVsNlvhLVGzGW/V35+nr8/N+fMevvjFOt56q6bkcW63zUMPJfjMZ4a45pqrd60/eBAzmSxdUC4eL57+/vjjc9qmyBNPkGtpAWPSjL7jYPX1Ef3c5+bx6qqH7lNyaCs5tJUc2koObSWHtpJjKVvt3bv3sOM4N0/3ueWeWe8zDGMtwNj/j987qhtonfS4DWMfUws0+RRQtbIZhsHQkJveXjcnT3r4whcarhio+3w2H/pQjM99bnDGgToUF69zx2KY8Tg4DmY8jjsWI9nePudtGl9BfrLVvoK87lNyaCs5tJUc2koObSWHtpKjUq2We7D+PeC3x/77t4HvTvr4J42idmBktuvV1cxs28a27UpvhpqD3l6DixcN3nrLxxNPNHLqlLfk8+Gwzcc+NsQ//aeDrF8/+20jrnZv99kWlJusHAP+aqP7lBzaSg5tJYe2kkNbyaGt5KhUq6W8ddvXKC4m12QYRhfwh8AfA98wDOMfAZ3Ar489/AcUb9t2iuKt2z69VNu1WowvLpfL6f0bV5LJt1TLRSKcvvYeBsLX8vLLHr70pRDRaOkiE83NeX7910f4+MeHCYfn/gYx3b3d52N8wB/o6MDq6yMXiTC0f/+inlM63afk0FZyaCs5tJUc2koObSVHpVot5WrwH7vKp664ufPYKvC/v1TbshrpTl8ZUwfjyfb2iQFu4MUXaXzySYxCgXxjI92DQUbfeIHnajfwlaeaGBoq3R3Xr8/xW781zIc/PEJNzfIvarHYAX+10X1KDm0lh7aSQ1vJoa3k0FZyVKrVkg3WVWWN3wZA7924fMbvb54Ph8m1tGAmEtQfOsTQgQMANH35y9guF4WGBi4M1TLSNcQP7Tv5mxMtJHKTd0WbtrYcn/70II89lmCWOzqoZaL7lBzaSg5tJYe2kkNbyaGt5KhUKx2sVyk9Urf8Ah0d5MPhiVXY7VCI/NjHAcjnKTQ2cT7VQj8h/mHwRv6q+9cYZfJicg47dmT5x/94kPvuS2Iu96oSizDTWQXVQPcpObSVHNpKDm0lh7aSQ1vJUalWgoYCaj4sy5o4AqSWhxWNYgeDJR+zg0GsaLQ4gG1opHO4gUvpIN/quoO/7H6UUcKTHu1www0p/tW/6uf+++UN1OsPHcJMJotnFSST1B86hKezs9KbVja6T8mhreTQVnJoKzm0lRzaSo5KtdKZ9SqlR+qW3/jtzkrub55IYLtcWGfO0f1uhuRgD9/OtvPFzL3kmDywd7jrriS///uD7NmTWfA2VGp2e6azCqpldl33KTm0lRzaSg5tJYe2kkNbyaEz66qs9Ejd8pvudmeeCxcw+gY457QxFPfyt5mP8MXMR8lNmlE3TYeHHhrlX/2r/kUP1Cs1uz3TWQXVQvcpObSVHNpKDm0lh7aSQ1vJoTPrqqz0SN3ym+52Z6mGNfTkIwxdHOLrxif5SvYh8vgnvsZilEcfy/PZzw7S0rK4ZpWc3b7aWQW5SGRJv+9y0n1KDm0lh7aSQ1vJoa3k0FZy6Grwqqx0dcnKmHy7s2zWwPnT/0m31cK3Tuzm7wbvg0mLyVmk+cjWw3z2X20mEjFJpxf3va1olFxLS8nH7GAQq69vcU88B8n29uJK+GPf00wkcMdiDO2/4k6NYuk+JYe2kkNbyaGt5NBWcmgrOXQ1eFVWeqSustJpg6EhNzH3NXy1YyeHBvcCvonPe4jz0V3v8K8efBlP/TrKkauSs9vTnVUwtH9/1VyvDrpPSaKt5NBWcmgrObSVHNpKDp1ZV2WlR+oqJ5UyGBlx0d3t5u/PPMAPTjQA3onP1xDjN659mX95/Y9x3/8AZplaVXp2e/JZBdVI9yk5tJUc2koObSWHtpJDW8mhM+uqrPL5fKU3YVVKJk3icZPubg9f+UqYZ18IAsbE5wMM84lrXuCfPnYc930PkG1rw12mVqthdruSdJ+SQ1vJoa3k0FZyaCs5tJUclWqlg/Uq5XK5AH0TWE7xuEkyadDVZfGlL9Xyy1+Wro5eQ5Lf+NAwv/kHOzHrtpEd+3g5W1X77HYl6T4lh7aSQ1vJoa3k0FZyaCs5KtVKB+tVyrbtSm/CqjIyYpLJmHR1WfyP/1HHiy8GSj4fIMGnb36Zz9Y8jTHyINm6ywNqbSWDdpJDW8mhreTQVnJoKzm0lRyVaqWD9SplGMbsD1JlMTzsIpMxOHfO4i//sp5XX/VTeup7gs/c9Rq/0/4G4YILe8qt1Ca38nR2Fk9jj0bJRSIk29vJtrVd9eNq+eg+JYe2kkNbyaGt5NBWcmgrOSrVyqzId1WqSgwOXh6of+ELVw7Ug0ac37vnZf7R7a/S4B8t3kotGp32uTydndQfOoSZTJJracFMJqk/dIjAiy9O+3FPZ+cyvUqllFJKKaXUctOZ9SrlOE6lN6HqDQy4yOfhzBmLJ55o4K23fEweqIfMOJ9t/wUfv/k4TaluvO+cxd3fT76hAU9n58TM+HirYEcH+XAYOxTCPTiI58wZ3P39+H/1K5K33jpxSzY7FCIPBKbM0KulpfuUHNpKDm0lh7aSQ1vJoa3kqFQrnVmvUqZpYpqad6n097spFAxOnfLwX/9r49hA/fLPOxSy+b1PdfOpLc8R6T+B/8gRzFgM3G7ya9aUzIyPt7KiUexgEPfgIP4jRzAyGfJNTbiHhvCdOIFrYGDi+WeaoVdLQ/cpObSVHNpKDm0lh7aSQ1vJUalW+ttRpQqFgt6zcYlEo25s2+HECYv/8l+aOXbMy+RdKRy2+exn+3n/71jwGw9j9fZi5PPY4TCpG28ku3Ej+XCYQEcHcLlVLhLBTCTwnDlDwefD8fmKA/aGBhzTxHv27MT3MBMJcpHIcr/0VU33KTm0lRzaSg5tJYe2kkNbyVGpVnoafJVyu4tp9VYQ5eHp7CT81FMMvdrLeqfAK437+c/HPs6p8xYlA3V/hn/T/mM+fPEXBJ4Ok2xvJ7dxI6lbboFJC1PYwSBWXx9wuVWyvZ36Q4eKp8o3NWGk05ijo4zecAPes2cxBwbAcTATCdyxGEP79y/rz2C1031KDm0lh7aSQ1vJoa3k0FZyVKqVDtarVC6Xq/QmVA1PZyeNTz5J9MQoRsjP4dg2/v1P7udUofTU99pAmv/z+m/w3mvOEmiqxUwkqD90iILHg5lITFxzDqUz4+OtCm1tDB04QHN3N+6BAfKNjaR27KDQ2IhjWbh7e7H6+shFIgzt36/Xqy8z3afk0FZyaCs5tJUc2koObSVHpVrpYL1KWZYFoKfWlEGgo4O+HhMz5OfV1C7+r5O/xanCWibvPuFwnv/z137EezeeJdRc/NmPLwRnptO4YjHyFGfUp86MT26VbWvj0mc/S/2hQ8XF5oJBzHgcXC4uffazOkCvIN2n5NBWcmgrObSVHNpKDm0lR6Va6TXrVSqXy+nRujIZOJvBlc3QkdjDHx79JKfSpQP12to8n//8JR5reoFQU+nxLzsYxCgUGDpwADsQwOrrww4EGDpwYGLgPbVVdmyG/WqPV5Wh+5Qc2koObSWHtpJDW8mhreSoVCudWa9SeqRuYTydndQ+9RQ1b74JhsGZLXdhmCavj27jj45/gs5cC+CaeHyTe5h/+5lOHh74EZHTr2Ff8JDZtQvX0BA1r7+Oe2iIfF0dyZtuYujxx6f9ntO1yra16eB8hdF9Sg5tJYe2kkNbyaGt5NBWclSqlQ7Wq5QepZu/8WvTvefOkQ+H6c024n/9dd5y7+XzJ//JFQP1iNHH//d33uG9vf9ATbOX1HXXEXj5ZUI/+hGukRFsvx/b58P2+Yj8+Z8TBZJ33HHF99VWMmgnObSVHNpKDm0lh7aSQ1vJodesq7LSI3Vz4+nsJNDRgRWNYp0/j9XTg5lOM9TvxvIUeNfcxuePfYazuQiTB+otrn7+8N9c5J7MYWoC3uLicaEQydtuo/7v/x4zmyUfiZBvbCxedz4yQt2hQ9MO1rWVDNpJDm0lh7aSQ1vJoa3k0FZy6DXrqqz0GpjZeTo7qT90CDOZJNfSgufiRXynThEdDeN4vXSmIvzLdz/LydwawJr4ukgkx//539Lc8GiYxtgF7GBw4nOFxkYcr5d8YyPZtraJz9nhMJ6xW7VNpa1k0E5yaCs5tJUc2koObSWHtpJDr1lXZaVH6mYX6Ogorrg+fku1QoEeawNGapTzri38rz2f5102Ap6Jr2luzvHv/30fe/ZkCIVscpHIxG3ZXAMDxfuhJ5MwOlr8+Nhg3YzFyLa0TLsd2koG7SSHtpJDW8mhreTQVnJoKzl0Zl2VVT6fJ5/PV3ozVjQrGi2ZFe9zrcWuqaEnUcs/P/8vebvQBtRMfD4czvEf/+PlgTpAsr0ddyyGdf48/iNHMGMxci0tOID39GnMeBxzZAR3LMbwgQPTboe2kkE7yaGt5NBWcmgrObSVHNpKjkq10sF6lXK5XLhcrtkfuIqNz4oDDKb85Jua6Apv43O5/8yRwjVMHqgHg3n+03/qY+fOywN1uHybNau3FyOfxw6HSezfT/yhh7D9fnxnzmAHg0R///envV4dtJUU2kkObSWHtpJDW8mhreTQVnJUqpWeBl+lbNue/UGr0OQF5RyXC/elS/Q07cD2O1wMbuHz597P4cIOwDfxNV53jv/wH/rYsydLOHzlzzXb1kZu40ZSt9wChgFAvqGBzJYtWH19RD/3uRm3SVvJoJ3k0FZyaCs5tJUc2koObSVHpVrpYL1KGWODRnXZ+IJy+XCYXEsLZiLBQCaEM5pmpN/k80c+ycuZdTiTrlF3k+c//Kcoe/Zkqau7+jUquUgEz4ULuKNRXPE4hVCIfCRCdsOGWbdLW8mgneTQVnJoKzm0lRzaSg5tJUelWulgXa0aUxeUG3BHcNYFGHQa+N+PfYrDFzzYJbtEnn//x5e4/voszc1XH6h7Ojvxnj5N+Cc/oRAOk12/HjMWw9/VReL225f4VSmllFJKKaWqkV6zXqUcx8FxnEpvxooyeUG5odEabNtggEb+6Pu/xuFXPBRKBuo5/n93/C23NJ2mpeXqi0mMz9a7+/pIb9mC7XbjPX0aTJPkjTfiuXBh1u3SVjJoJzm0lRzaSg5tJYe2kkNbyVGpVjqzXqVMU4/DTDW+oNygu5mCbRJPe/gPz7yHF3o2Txmo5/n3D/6Im9cNsunczxi67fGrPuf4bL03l6PQ1AQ1NRg9PXi6u7EDAVyjo7Nul7aSQTvJoa3k0FZyaCs5tJUc2kqOSrXS35AqVSgU9J6NUyTb20leymGPpIoD9R/eyS/PbiSHf9KjCvzbe3/KHddcpG1DBisanfE5x2frC6EQ7sHByzPphoEZj+O5cAFPZ+eMz6GtZNBOcmgrObSVHNpKDm0lh7aSo1KtdGa9SrndxbSr8d6Nk1d8z0UiJNvbyba1MdCwGR5+jMKLb/Ofn7qJX3ReQ5rApK+0+efv+QUP7DzHNY0DuBIJcpHIjN9rfLY+u2ULvh/8AHvsqJvtcmHYNqPbthHo6CDb1nbV51jNrSTRTnJoKzm0lRzaSg5tJYe2kqNSrXRmvUrlcjlyuVylN2PZjV9DbiaTxRXfk0nqDx0ic7SbbNZguKGNP+n6LZ6J3kTSmTxQd/jHO37CBzcfYVPdAO5EDHcsRrK9fcbvl2xvxx2LYVsWhbo6ME3MZJJ8SwupffvItbbOOju/WltJo53k0FZyaCs5tJUc2koObSVHpVrpzHqVsiwLYNWdWjN1xXc7FGIo48X1qyOMPrSJL30pzLPP+kmlXCVf9+EPD/OhB4OsO5vF399DLhJhaP/+GWfEoXiP9aEDBwh0dGD7/eTr6kjv3EmhsREAMx6fdXZ+tbaSRjvJoa3k0FZyaCs5tJUc2kqOSrXSwXqVWq1H6axolFxLy8SfExkPKW+AQu8wX/5yLU8/HSKZLP21v//+OL/zOyPUNUUYvePDzL4kXKlsWxvZtjaS7e3UHzqE4/GA42AmErhjMYb275/x61drK2m0kxzaSg5tJYe2kkNbyaGt5KhUKz0NvkpZljVxBGg1Gb+GHCCZ9ZDKecjHMvz16f089VSIRKJ0oH7nnTH+t/9tgPr6An7/4m7HMD7LbgcCWH192IEAQwcOzDo7v1pbSaOd5NBWcmgrObSVHNpKDm0lR6Va6cx6lVqNR+o8nZ24BgYIvfgiw3XrSW++nryrwFdf2sPXz9xCPFX6675vX5LPf36Q5ngn6zt+ecWCdAsxPss+H6uxlUTaSQ5tJYe2kkNbyaGt5NBWcujMuiqr1XakbnxhOcfn49JtdzOcC+J76VW++cYevnzufkZS3pLHb98+yr/7d5doHDnP5p9844oF6Wa73Vo5rbZWUmknObSVHNpKDm0lh7aSQ1vJoTPrqqxW25G68YXlMv5aegthrNta+buXruFLr93FULp0oL5xY5o//dNe/H5o7fjFFQvS5ceeb6Gz6/O12lpJpZ3k0FZyaCs5tJUc2koObSWHzqyrslptR+qsaJRCIMjFWC0+d47vv72N//HaXfSnAyWPa27O8IUv9OHzQXNzHisaxQ4GSx5jB4Oz3m6trNu+ylpJpZ3k0FZyaCs5tJUc2koObSWHzqyrslptR+pykQhd3R5CDWmePbGJv3zhNvrTfuDyLdrqPTH+5o/exu1Zx5o1+Ymv8739Nr4TJ3DFYhTCYdLbtpHevXvG7+fp7CTQ0VGW69xXWyuptJMc2koObSWHtpJDW8mhreTQmXVVVqvtSN3xzffSkI3y2sla/vNzd9OXCjH5WFTATHLwI39D88+eYXP+1MTHbY+H0PPPYyaTFMJhzGSS0PPPY3s8V/1e49fHl+s699XWSirtJIe2kkNbyaGt5NBWcmgrOXRmXZVVoVCo9CbM20Jnq3t73fi2reHVSx/l//6P19CVCDF5Rt3HKF/55N/jD3rY4M7gTLoePfjii2Q3bsTIZDDTaexgkEJjI+Ef/xgzm512W8avjy/Xde4SW61G2kkObSWHtpJDW8mhreTQVnJUqpXOrFcp0zQxTTl5FzpbHY26qamx6epy83996XrOjDQCl496ecjyN7/5bVpCKVrrhnFCpdeje/r6yLW0kG1rI719O9m2NgqBADXHj191W8p9nbu0VquVdpJDW8mhreTQVnJoKzm0lRyVaqW/HVXKcRwcx6n0ZsxZyWy1YRRnq8NhAh0dV/2agQEXXq9NX5+b//AfWjh9uvTUFIscX3jv19jSNExLKI7LdDATCXKRyMRjsi0tmLFYydd5urvJ1dVddVtykQhmIlHyNVOfdz6ktVqttJMc2koObSWHtpJDW8mhreSoVCsdrKuK8nR2Un/wIHVPPYXv3XdxDw5OfG6m2erhYRdut0N/v8Wf/Ekzx497KBRKf53/8HPv0h4+TmTgOPVHOgg//TTBl14i29p6+XkOHMAdi2GOjIDjYI6M4IrFGL3llpLnmrwtyfb24tfE48Wvicdxx2Ik29vL9WNRSimllFJKrXI6WK9ShmFgGEalN2NGk099z65ZgxmP4z9yZGLAfrXZ6njcxLZhaMjFE0/U88YbNWSzpb/Kn/nMJe78UABu30PD6bdwDwyQb2wkvW0bwZdfnjilPXnHHUR///exg0E8PT3YwSCx+++/4vtO3pZsWxtDBw5gBwJYfX3YgQBDBw4seDV4Ca2UdpJEW8mhreTQVnJoKzm0lRyVaqULzFUp27YrvQmzCnR04BQK+I4fxx2N4h4aIl9Xh+f0aWzLwh2LMbR/f8nXpFImmYxJNmvwxS/W8corAUZHS3echx8e5hOfiGOaDg2XzpBsb59YDA7AjMdLFoNL3nEHyTvumPj8+EGEPMUZdTORuGJbsm1tCx6cTyWhldJOkmgrObSVHNpKDm0lh7aSo1KtdGa9SrlcLlwu1+wPrCDfiRP4TpzAyGTIt7SQa2nBPTSE99y5aWerMxmDeNykUICvfjXMz38eJhYr/RW+8cYU//bfDmDbUFtrL2gxuHLPnM9GQiulnSTRVnJoKzm0lRzaSg5tJUelWunMepXK5XKV3oRZmbEYjmni+HwAFBoacFwu7GCQoccfL3lsLgeDg24sy+bQoRBPPRVmaKh0oL55c4b//J97yWRM1qzJF79ubDG4kpn1OSwGV86Z89lIaKW0kyTaSg5tJYe2kkNbyaGt5KhUK51Zr1KWZWFZ1uwPrCC7thbTtjHSaQCMdBrTtrFra0sfZ0Nvr4Xfb/PTnwY4eLCO/v7SI1tNTQWeeOIi6fTlgTrIWAxOQiulnSTRVnJoKzm0lRzaSg5tJUelWunMepWScKQuvXUrdk0N7mgUVyxGIRQi3dpKdsOGksd1d3uoq8vzy1/W8Dd/U09fnwu4fJ2632/zZ3/WjWkarF9f+rrHT2kPdHRg9fWRi0QY2r9/TrPmns7O4tdFo+QiEZLt7Usy2y6hldJOkmgrObSVHNpKDm0lh7aSo1KtdLBepcaP/BQKhQpvydUl29vxHDpEevv2koXcJs96d3VZ1NfneO01H3/5l410d7uZfEKIx+Pw7/5dD83NNk1NeQxj+kH21NPqZzOxyFw4TK6lBTORoP7QoSW5dl1CK6WdJNFWcmgrObSVHNpKDm0lR6Va6WC9Skk4UjfbrHdvr0V9fYGjR3382Z8109XlxnEmX7nh8E//aZQbb8zg9ztYlrPgQfbUAb5rYIB8ODxxrbsdCpGHklXky0VCK6WdJNFWcmgrObSVHNpKDm0lh86sq7KScqTuagu5XbrkJhjMc/Kkhz/7s0Y6O93kcpOvU3f48IdH+OhHE4CB31+8nUKgo2Peg+zpBvihF18kfuedMGlhOjsYxOrrK9dLnyCl1WqnneTQVnJoKzm0lRzaSg5tJUelWukCc1Uql8uJPVo3MOCipsams9PDE080cuaMh0ymdKB+551J/uW/7CeXM6mtvbzTLORWbSUDfMPADoXINTbie/fdksfNZRX5hZDcajXRTnJoKzm0lRzaSg5tJYe2kqNSrXSwXqWkri45MuLCshx6etz89V/X8+67PuLx0pXfd+3K8Md/3Es87qapKV/yufFbtU022yB7ugF+ZudOrIGBZVlFXmqr1UY7yaGt5NBWcmgrObSVHNpKjkq1qshg3TCMPzAM4x3DMN42DONrhmH4DMPYbBjGS4ZhnDIM46BhGJ5KbFu1kHikLh43sW0YGnLz5S/Xc/hwgFisdKDe2prjv/23i8TjFmvXXvn6FnKrtukG+LbHQ+KOO7ADAay+PuxAYEkWlwOZrVYj7SSHtpJDW8mhreTQVnJoKzkq1WrZr1k3DGM98M+AXY7jjBqG8Q3gN4D3Av/VcZyvG4bxl8A/Av77cm9ftZB2DUwqZZLJmGSzcPBgLS+84GdoqPRYUrMvxpdu+gv8h4Ksf2gHea4cOC/kVm3J9vbiNetQsir9Ug3Op5LWarXSTnJoKzm0lRzaSg5tJYe2kmO1rQbvBmoMw8gBfqAHuA/4+Njnvwz8ETpYX7B8Pj/7g1aIdNogFjNxuRy++c1afvzjIP39pb+aITPOf7rv29S1+Wm0+wh+99hVB9NXW7TuahZzL/ZykNRqNdNOcmgrObSVHNpKDm0lh7aSo1Ktln2w7jhOt2EYfwqcB0aBZ4DDwLDjOOM/hS5g/WzPZZombrcbl8uFbdsYhjH+PTBNk0KhgNvtJpfLYVnWrP9fKBQwTRPHcQAwDAPbtnG5XHN+jnw+v+jtKcdzmKaJy+UinU6v6Ndk2yYjIwZ1dSZ/93c1/OhHYXp7S38tvWT45w+/zi03Zampq6fGMSHXQPj4cWJbt5bnNW3dSuLaa0tek2sZfi65XI6ampqJ7V+pnVb7/qSdZL0ml8uFYRhks9mqeU3V2KlQKOD1egHIZrNV85qqsZNpmlhWcVYpl8tVzWuqxk6O4+DxFK8kzWQyVfOaqrETgMfjwXGceT3HSn9N1djJMAzcbjemaZJKpcr+mmay7NesG4ZRD3wA2AysAwLAw/P4+t81DONVwzBeHRwcXKKtlM+27YlfsJWsp8dNXZ3NU0/5OHQoSHe3a8ojHD6x52V+875OMCBUU7xWxPb7sQYGln+Dl0DxoIVd6c1Qs9BOckh5/1O6X0li27a2EkLfA+XQ90A5KrVfGcv9TQ3D+CjwsOM4/2jsz58Ebgc+CqxxHCdvGMbtwB85jvPQTM+1e/du5+DBg0u+zRKNH1Udn1laiS5etKiry/PTn/r5679uoqvLTSYz+fiRw/33J3nihr9gdKRAZO3l31UzHi8u+vb448u/4WUmoZXSTpJoKzm0lRzaSg5tJYe2kmMpW+3du/ew4zg3T/e5SqwGfx5oNwzDbxTPCdgPHAWeAz4y9pjfBr5bgW1Ty+TSJTd1dXleecXPk0820tNjThmow759Gf7oj3rp3nEnG+yuZbmNmlJKKaWUUkqtBJW4Zv0lwzC+CbwG5IEjwF8BTwFfNwzj34997IvLvW3VZLnPmPB0dhYXaItGyUUiJNvbr7pA2/CwC5/P5uhRL//jf9Rx8aJFKlU6UN++PcOf/ulFYjE3G26NMLSmcgvALTU9VU0G7SSHtpJDW8mhreTQVnJoKzkq1aoiq8E7jvOHwB9O+fAZ4NYKbE5VMs3lO2nC09lZvPVZOEyupQUzkaD+0KFpV2tPJov3Uo9GLZ58so5z5zzE46Xb2tqa4//+v3vI503Wrs1hGPNf4V2S5WylFk47yaGt5NBWcmgrObSVHNpKjkq1qtSt29QSW857AAY6OsiHw9ihEAB2KER+7OOTB9jZrEEiYZLLwd/9XR1vvVXDyEjpr2BTU55/8S+iRCIOgUAB9yr4DdV7a8qgneTQVnJoKzm0lRzaSg5tJUelWunhnCrldrtxL9NI14pGsYPBko/ZwSBWNHr5zzZEo27cbptvfSvMr35Vw+DglHuphwp86lOD3HRTBo/HpqZmdZwatJyt1MJpJzm0lRzaSg5tJYe2kkNbyVGpVvrbUaVyudzyfa9IBDORmJhZBzATCXKRyMSfu7stGhvzfPObtfzoRyF6eqbcS91b4MCBET70oTiZjEFT0+q5jcVytlILp53k0FZyaCs5tJUc2koObSVHpVrpYL1KWZYFLO0pG+OLyvlOnsRz4QKj27aRa23FTCRwx2IM7d8PQG+vm+bmHD/9aZBvfauWS5fcgDHpmWz270/yj//xEMmkyZo1+SXb5pVoOVqpxdNOcmgrObSVHNpKDm0lh7aSo1KtdLBepZb66M/kReXS27Zh19TgO34cVypFetu2idXaBwZchMMFXn3Vz5e/XE9/v0k6XXr1xW23pfn85y8Ri7nYsGH1HWHUo6oyaCc5tJUc2koObSWHtpJDW8mhM+uqrJb66M/UReWyGzeSr6/HDgQYevxxPJ2dGE9+l7X9/Rw3tvPVN95PT49FLOYqeZ4dm2L8l5v+Bvefj7DnGpPU7Ve/5Vu10qOqMmgnObSVHNpKDm0lh7aSQ1vJUalWusBclcrlckt6BGimReU8nZ14vvEUhXiGnpo2vvTC9Zx8B4aGSn/d1keS/B9b/hZvdpSmzR5cqST1hw7h6excsu1eiZa6lSoP7SSHtpJDW8mhreTQVnJoKzkq1UoH61XKsqyJI0BLYXxRucnGF5XzvPAy/Z41ZPxhnnzlJl7t3URvtr7ksaFQnk/sfIEbtg4TbHTjteziLd/CYQIdHUu23SvRUrdS5aGd5NBWcmgrObSVHNpKDm0lR6Va6WC9Si310Z9kezvuWAwzHgfHwYzHccdiJG5r59LZHDV1br55ZA8/P72FnngQcHF5UbnignKf2PgchUCQoDc78bxTb/m2GuhRVRm0kxzaSg5tJYe2kkNbyaGt5NCZdVVWS330J9vWxtCBA9iBAFZfX/Fa9QMH6PRcS8MmL997dRPfeWsXl+IBCnhKvvbOO0f5gz8YIF67jojTV/K5qbd8Ww30qKoM2kkObSWHtpJDW8mhreTQVnJUqpUuMFel8vmlv/1Ztq2tZDG4aNRNY22e7zvv5euvBhhMuEhQU/I1e/Zk+IM/uEQqZdLy0E7c33mXPMUZ9am3fFstlqOVWjztJIe2kkNbyaGt5NBWcmgrOSrVSmfWq5TL5cLlcs3+wDIZGnLh99scOVLD331/PX2jYfppLHnM5nUJPv3pQerqHCKRPLlN08/Or7bV4Je7lVoY7SSHtpJDW8mhreTQVnJoKzkq1Upn1quUbdvL9r0SieIxn4sd/XzzL0JcPGXS57Rw+Rp1aPQM8fj217jpps14PA4ejwNcOTs/laezk0BHB1Y0Si4SIdlefbd2W85WauG0kxzaSg5tJYe2kkNbyaGt5KhUK51Zr1KGYWAYxuwPXKRMxiCVMhk91sM3v5DjaHczF50mJg/ULdI8vPMMv7X+WRzHIBSa2y+7p7OT+kOHMJNJci0tmMnqvLXbcrVSi6Od5NBWcmgrObSVHNpKDm0lR6Va6WBdLZhtQ3+/G8Nw+PZfG7x06Vp6U2HA4vJgPc99W8/xL275EbHadTQ1zf16j0BHB/lwGDsUAsNYtbd2U0oppZRSSq0+OlivUo7j4DjOkn6PixctamvzfPe7YX5+oo1oopYc3pLH3Bl4i3924zMUYhkaHt4xr+e3olHsYLDkY9V4a7flaKUWTzvJoa3k0FZyaCs5tJUc2kqOSrXSa9arlGku7XGY3l6L4b/9SAAAIK5JREFUpqYcTz0V5JlnwvSPjpKwS1d+3+k5wT9a+11aWuqw7r6b3KbWeX2PXCSCmUgUZ9bHVOOt3Za6lSoP7SSHtpJDW8mhreTQVnJoKzkq1UoH61WqUCgs2XP397sIh/P86lcBvv3tOgYHTfqztSWPWevt5wM7j7HtX9xHevN6vLXzX5Qh2d5O/aFDVX9rt6VspcpHO8mhreTQVnJoKzm0lRzaSo5KtdLDOVXK7Xbjdpf/WMzIiInH43D0aA1f/3otfX1u+vpKv4+fJPt3nuPRf15PZl0rtQsYqENxpfjVcGu3pWqlyks7yaGt5NBWcmgrObSVHNpKjkq10t+OKpXL5cr+nKmUQT5vcOmSm4MHg3R2WkSjV/4K3fUgfOx/bSRhNrEhsrjtmO3WbtVgKVqp8tNOcmgrObSVHNpKDm0lh7aSo1KtdLBepSzLAsp3ykahACMjbgoF+Pu/r+XYsRqiUTeOU3oLg9tuS/H440O4XAZr1+ob0FyUu5VaGtpJDm0lh7aSQ1vJoa3k0FZyVKqVDtar1GKP/ng6Owl0dGBFo+QiEY5vvhfvtWv4n/+zjtde8zEw4CKXK72KYteuNO9//wibNmUJBm10zYy50aOqMmgnObSVHNpKDm0lh7aSQ1vJUalWOpyqUpZlTRwBmi9PZyf1hw5hJpPkWlqI9rnY9LNv8fT/zPPii0EGB10kEq6Sr2lpyfCe96S4/fY0Hg/4/XobirlaTCu1fLSTHNpKDm0lh7aSQ1vJoa3kqFQrnVmvUos5+hPo6CAfDmOHQsQvpqk/d4YXzrTyk2iBqNthcHjKgnJGiofqXuPT7sOkL9xE3U0ti938VUWPqsqgneTQVnJoKzm0lRzaSg5tJYfOrKuyWszRHysaxQ4GyfbFcb9xjONDa/ny0Ie4mKijf3jqc+Z4cOsJfus9R3FSWXb+8mt4OjsX/wJWET2qKoN2kkNbyaGt5NBWcmgrObSVHDqzrspqMUd/cpEIxJPEjg+RddXxZNeDHIttIEo9pcd3HPa3nuCjNx+j1p+jJVQgnwwT6Oio+hXcy0mPqsqgneTQVnJoKzm0lRzaSg5tJYfOrKuyWszRn2R7O70X3dQNn+fLvY/w2sBWhgp+cviAy6u/39x4ivdef5qtzf3U+kZxmzZ2MIgVjZbpVawOelRVBu0kh7aSQ1vJoa3k0FZyaCs5dGZdldVijv5EB700B3J84+yddIxsop8gSWpLHrOppot7w69yn+8NTPcagt4sAGYiUZyZV3OmR1Vl0E5yaCs5tJUc2koObSWHtpJD77Ouymqh9wIcfaebyI+e4sWR3XzLcyfdBBmkoeQxIUZ4z65ePrTxKL63j9IYHCbrb8VMJHDHYgzt31+217Ea6D02ZdBOcmgrObSVHNpKDm0lh7aSQ++zrspqIb9ImYyB61evczy3ma8ca+d8MkIUP5NPfTfJsX/3BT503ds4wbU01F7C3duL4/GQi0QY2r9fr1efJ32DlkE7yaGt5NBWcmgrObSVHNpKjkq10sF6lTLN+S1H4DjQ3++mrneEvzv2GCcuNTOc8mBTem3GPVtO89juY6wNJ2kOJsjVtYLHQ/Rznyvn5q8q822lKkM7yaGt5NBWcmgrObSVHNpKjkq10sF6lXIcZ16P7+mx8PsLfLlzP29caGEk6WMUX8lj9kYu8GDbO+xe20fYl8HjKmDG9Rr1xZpvK1UZ2kkObSWHtpJDW8mhreTQVnJUqpUezlH097vx+ws89VSIFwb3EE3UECuUnv5eHxrltrsK3N90BN/oCCFPGuv8eYIvvYTv5EnqDx7U+6srpZRSSimlVJnoYL1KGYaBYRizPi4eN3G5HI4cqeFnPwvQMxRiMF9H6XXqDvfcn2P/R01GHn6ExoiD7/hxfMePk962jfS2bZjJJPWHDumAfQHm2kpVlnaSQ1vJoa3k0FZyaCs5tJUclWqlp8FXKdu2Z31MNmuQSpn09rr57nfDnDvnZXjQYfJAHeA99yS5774kdXU264OjcBa8p05hJhKYb72FOxolu2UL+XCYQEeHLjA3T3NppSpPO8mhreTQVnJoKzm0lRzaSo5KtdKZ9SrlcrlwuVxX/bzjQDTqJpcz+Pa3azlxwkty2CZXKP2aG+rO8GvbL3DttRnWJM/S8J1DeLq6sPr6oFDANTSEa2gI/5EjmNksVjS61C+t6szWSq0M2kkObSWHtpJDW8mhreTQVnJUqpUO1qtULpcjl8td9fO9vRZ+v803vhHi6FEPsZhBImMxeVa90T3EXdee437jOWpqbJpff4F8OIw7GiUfDIJl4Xg8uOJxCj4f3mPHdLG5BZitlVoZtJMc2koObSWHtpJDW8mhreSoVCsdrFcpy7KwLGvazw0MuPB6CzzzTJA33vDT1+dmZMRFcaDuAA4u0jxa+wIPtr6Ff+QSjY0FrGgUOxjEFY+TX7MGI5cDx8EcHS1+z4EBku3ty/Yaq8VMrdTKoZ3k0FZyaCs5tJUc2koObSVHpVrpYL1KXe3oTyJh4jjwxhs+fvpTPxcuWMTjk0/pKA7YH2h8nf1r3mBDzxu0bCkubZCLRDATCQqhEI7bTXbDBhzAyGaxLlzAdrkIdHToInPzpEdVZdBOcmgrObSVHNpKDm0lh7aSQ2fWVVlNd/Qnl4NEwkV3t8XTT4c5e9ZLMmmQz5cuKLfPd4z9za+zN3yGtYmzjN5+GwDJ9nbcsRj5SATX6CgUCtg1NRRqa3HCYVK3366rwi+AHlWVQTvJoa3k0FZyaCs5tJUc2kqOSrXS1eCr1HRHfvr6LAwDvve9MEePekmlTFKp8Vn14oC90T3IvWvf4o6aw/jNNPzaDROru2fb2hg6cIBARwfm6CjmyAiuVIpcJEJm1y7yDQ0A5EFXhZ8HPaIqg3aSQ1vJoa3k0FZyaCs5tJUclWqlg/UqNX7kp1AoAMUF5bxem69+tY6jR70MDxvEYpNPrHCwyPLQ9lPcti+P27OVBqOToUcfxdPZSaCjAysaJReJkGxvZ+jxxwGIPPEEuZYWmHTfQTsYLK4Wr+Zkaiu1MmknObSVHNpKDm0lh7aSQ1vJUalWehp8lZp8XcXQkAuXy+G55wK89ZaPnh6LVMpN6f3UDe68McYdW7tozZ5lzZocQwcOAFB/6BBmMkmupeWK09zHr2OfzEwkdFX4edDrlWTQTnJoKzm0lRzaSg5tJYe2kqNSrXRmvUqNH/2Jxx1yOTh2zMvPfx7g1CkvqZRBNlt6nfrOnWluf8ih7Y4bofF6YiEbgPqDB8mHw9ihEAB2KFRymnuyvZ36Q4fIU5xRNxMJ3LEYQ/v3L+fLFU2PqsqgneTQVnJoKzm0lRzaSg5tJUelWulgvUrlcjnyeRgZcXHpksmPfhTixAkfuRyMjpaeUNHYmOfuuxPs2ZPB73cIjQ3UgeKp7y0tJY+ffJr75OvYrb4+cpEIQ/v36/Xq86BHVGXQTnJoKzm0lRzaSg5tJYe2kkOvWVdlZVkWvb1ustkM3/9+mLff9jA6OvU6dXC7He69N8l112VoaCgQieRLPj9+mvv4zDpceZp7tq1NB+eLoEdVZdBOcmgrObSVHNpKDm0lh7aSQ69ZV2U1MGBjGDm+//0Qx455GRoySSYNSq9Th9tvT3LjjaNs2JCnpeXKI0bjt2sz43FwHMx4HHcsRrK9fZleSfXL5/Pk8/nZH6gqSjvJoa3k0FZyaCs5tJUc2kqOSrXSwXqV8nhMfvnLAG++6eX8eQ+5nJt8vnT19+0bY9x1V4qdOzM0NOSZ7taB46e524EAVl8fdiDA0IEDOpNeRi6XC5fLNfsDVUVpJzm0lRzaSg5tJYe2kkNbyVGpVnoafJU6e9bkxRd9nDrlw7adsVl1h/GZ9WbPMI81vMDeuhaCwSZqa+2rPpee5r60bPvqP3u1cmgnObSVHNpKDm0lh7aSQ1vJUalWOrNepc6etXj7be/YInPjx2SKA3YPGR7YeYZdGwfYeP5l1qzR028qyTAMDMOY/YGqorSTHNpKDm0lh7aSQ1vJoa3kqFQrHaxXqZdf9pJMGgwPT/1MgTs3d3Lr5otsWT/KxvTpCmydUkoppZRSSqmZ6GnwVSqfh0zGwHEmH4+x2dF4ifu3n2ZbU5QmLmGubajYNqoix3EqvQlqDrSTHNpKDm0lh7aSQ1vJoa3kqFQrHaxXKdOEVKr0xImId5hHr3mTrU39NNNPc7aXofYDE5/3dHYW75cejZKLREi2t+u16svANPUEFwm0kxzaSg5tJYe2kkNbyaGt5KhUKx2sV6kf/9hb8mePx+Ge96TYFoqzceBtttjHcWrDBDo6Jh5Tf+gQ+XCYXEsLZiJB/aFDuvL7MtB7a8qgneTQVnJoKzm0lRzaSg5tJUelWulgvUpFIjYjI8X/Nk2Hm25Ksvc9Fusb1rP25efJNOzEDgYnBuW2x0M+HMbIZvEfPowrHse2LMJPPUX/7/1eZV9MlXO7i7uh3mdzZdNOcmgrObSVHNpKDm0lh7aSo1Kt9NyLKjU4eDntxo1Z7rsvyebNGTae/hVWQw12KASGgR0KkQ+HqXnzTYxMBv+RIxiZDIWxz4defBFPZ2cFX0n1y+Vy5HK5Sm+GmoV2kkNbyaGt5NBWcmgrObSVHJVqpYP1KuX3F/+/qSnHI48k2LgxT1OTTUviHHYwWPJYOxgEw8D37rvYNTU4Ph+M3Zog19hYcqq8Kj/LsrAsq9KboWahneTQVnJoKzm0lRzaSg5tJUelWulgvUr5/TY1NQ533ZXkmmuytLQUWLcuRy4SwUwkSh5rJhKk9u7FGhiAsZUOjXQaVzpNZudOrGi0Ei9h1dCjqjJoJzm0lRzaSg5tJYe2kkNbyVGpVnrNehXydHayJ1SgZY2Pewqvs9mzhjVrmzAMSLa3FxeSg4lr1t2xGEMHDmAA3uPHccViFEIhUjt3YlsWdn19pV9SVRs/SqeLjKxs2kkObSWHtpJDW8mhreTQVnJUqpUO1quMp7OT+kOHuL35AZz1fjZ5erm2owP3lvvJtrWRbWtj6MCB4i3a+vrIRSIM7d9Ptq2NkUcfpT6bJR8Olw7k9++v9MuqanpEVQbtJIe2kkNbyaGt5NBWcmgrOSrVSgfrAs10P/RARwf5cJjb1hXoHDBoNB3qLQO7o2PiMeOD9qlmGsirpaNHVWXQTnJoKzm0lRzaSg5tJYe2kmNVzawbhlEH/DWwB3CA3wGOAweBTcA54NcdxxmqxPatZOMz51e7H7oVjZJracE1OsxaK0VbeBibIFZf35ye/2oDebV09KiqDNpJDm0lh7aSQ1vJoa3k0FZyVKpVpRaY+zPgacdxdgDXA8eAfwM86zjOVuDZsT+rKcZnzqfeem18xfbxBeTqW3y0tRmYhoOZSJCLRCq85epqdCVQGbSTHNpKDm0lh7aSQ1vJoa3kqFSrZZ9ZNwyjFngP8CkAx3GyQNYwjA8A94w97MvAz4B/vdzbt9KNz5yPcw8O4jn9/2/v/mMkr+86jr9e82O3sLuUE7rHUehRCmmFUoE0zdrSBD2rFBuOs5VgYoVKQzGKbcSYKokmNTGoiT/qb0MpVbHStKxgoD+wtSkJLr/ak19XLEUvhXB7FM673T16O7vz9o+ZW4dj927Om5nv9z37fCSX3Z353sxn8tzv7n6+P+b7XY3s2iVJWjz9dI0/+KA2TOxUc2xMmpvjvPOSW1paKnoI6AKd8qBVHrTKg1Z50CoPWuVRVKsiDoN/o6QXJH3a9o9IekTSRyVtjIjn28vskrRxjf+/olKpqFarqVqtqtlsyu1rg0eEKpWKlpeXVavV1Gg0VK/Xj/hxeXlZlUpFcfDyZbaazaaq1WrXj7G0tHTM4znsY7zpTRqpVrW0tKQRWyMPPSRt2qTGxIRGNmzQ6BNP6MCll2pkzx6NNhr6ga2FrVulTZs0UtbXNIydjuI1HXfccSvjH5bXRKccr2kYO9XrdVWrVdnW4uLi0LymYey0vLys0dFRSdLi4uLQvKZh7FSpVFSvt/YoNRqNoXlNw9gpIjQyMiJJOnDgwNC8pmHsJEkjIyOKiKN6jLK/pmHsZFu1Wk2VSkX79+/v+Ws6nCIm6zVJF0q6PiIesP2nOuSQ94gI27Haf7Z9raRrJenUU0/t91hL5+ULL9SG++9Xs9FQfe9eha1KhA6ccYZ8/PFanphQfXZWe9/zHtVqNR04cECVSmXl+ukon4hQs9ksehg4Ajrl0Ww2Wz/3UHoRsfLHEMqNn395dE4OUG78bZFHUeuVB/1L0vYpkmYi4oz21+9Wa7J+lqSLI+J525skfT0i3ny4xzr33HPj9ttv7/eQS+fgu8GfePfdWjzlFB0480wtn3RS684I1Wdn9T833CBJK3uWUF4Ht4DTqtzolAet8qBVHrTKg1Z50CqPfrY677zzHomIt69238D3rEfELtvfs/3miHhK0hZJT7b/XSXppvbHOwc9tiw637G9srDQerO5Nt5MDgAAAADyK+o669dLus32iKRnJH1IrXem/5ztayTtlHRFQWNLY2FqqnUZN0nN8XFV5udX3kyOwwrzoFUOdMqDVnnQKg9a5UGrPGiVR1GtCpmsR8R2Savt6ucty4/C4ubN2rNtm8ZmZlSfnVVjclJ7tmzR4ubNGuV8zTQ4tzYHOuVBqzxolQet8qBVHrTKo6hWRe1ZR490HhLfaXl5uYDR4P+DVjnQKQ9a5UGrPGiVB63yoFUeRbVic86QqtVqqtXYFpMBrXKgUx60yoNWedAqD1rlQas8imrFd8eQajQaRQ8BXaJVDnTKg1Z50CoPWuVBqzxolUdRrZisD6l6vS6Jw2syoFUOdMqDVnnQKg9a5UGrPGiVR1GtmKyX1MFrqdd371ZjclILU1Ornpu+FrbU5UGrHOiUB63yoFUetMqDVnnQKo+iWnHOegmN7NypDdPTqiwsqLFxoyoLC9owPa2RnTu7fox6vb6yBQjlRqsc6JQHrfKgVR60yoNWedAqj6JasWe9BA7di1578UUtnXCCmhMTkqTmxISWJI3NzHS9d50tdXnQKgc65UGrPGiVB63yoFUetMqDPevr1Gp70cfvv1+VxcVXLNccH1d99+6uH5ctdXnQKgc65UGrPGiVB63yoFUetMqDPevr1NjMzKv2ojdOOkmjO3Zo6aKLVparzM+rMTnZ9eOypS4PWuVApzxolQet8qBVHrTKg1Z5sGd9narv3q3m+PgrbvvBW96i+osvqjI3J0WoMjen2r59Wpia6v5x2VKXBq1yoFMetMqDVnnQKg9a5UGrPNizvk41JidVmZ9f2bMuSTE6qrl3vlPNsTHVZ2fVmJzUni1beDf4IUWrHOiUB63yoFUetMqDVnnQKg+us75OLUxNacP0tJbUOi+9Mj+v2r592rNt21FNzg/FdRvzoFUOdMqDVnnQKg9a5UGrPGiVR1GtOAy+YIubN2vPtm0re9GbY2PHPFGXWt9IrPg50CoHOuVBqzxolQet8qBVHrTKo6hW7Fnvs0Mvy7YwNfWqifji5s3HPDk/VKXCdpgsaJUDnfKgVR60yoNWedAqD1rlUVQrvkP6aLXLsm2YntbIzp19f+6IUET0/Xlw7GiVA53yoFUetMqDVnnQKg9a5VFUKybrffSKy7LZak5MaOmEEzQ2M1P00AAAAAAAJcZkvY9Wuyxbc3xc9d27+/7ctmW778+DY0erHOiUB63yoFUetMqDVnnQKo+iWnHOeh+tdlm2yvy8GpOTfX/uZrPZ9+dAb9AqBzrlQas8aJUHrfKgVR60yqOoVuxZ76OFqSnV9u1TZW5OilBlbk61ffu0MDXV9+euVquqVqt9fx4cO1rlQKc8aJUHrfKgVR60yoNWeRTVij3rfXTwsmxjMzOqz86qMTmpPVu29Pyd31fTaDT6/hzoDVrlQKc8aJUHrfKgVR60yoNWeRTVisl6n/XjsmzdqNfrksS1GxOgVQ50yoNWedAqD1rlQas8aJVHUa2YrA8pttTlQasc6JQHrfKgVR60yoNWedAqD/aso6fYUpcHrXKgUx60yoNWedAqD1rlQas82LOOnmJLXR60yoFOedAqD1rlQas8aJUHrfJgzzp6ii11edAqBzrlQas8aJUHrfKgVR60yoM96+gpttTlQasc6JQHrfKgVR60yoNWedAqD/aso6fYUpcHrXKgUx60yoNWedAqD1rlQas82LOOnmJLXR60yoFOedAqD1rlQas8aJUHrfJgzzp6ii11edAqBzrlQas8aJUHrfKgVR60yoM96+ippaWlooeALtEqBzrlQas8aJUHrfKgVR60yqOoVpVCnhV9V61WVa1Wix4GukCrHOiUB63yoFUetMqDVnnQKo+iWrFnfUg1m82ih4Au0SoHOuVBqzxolQet8qBVHrTKo6hWTNaHlO2ih4Au0SoHOuVBqzxolQet8qBVHrTKo6hWHAYPAAAAAEDJsGd9SEVE0UNAl2iVA53yoFUetMqDVnnQKg9a5VFUKybrQ6pS4aCJLGiVA53yoFUetMqDVnnQKg9a5VFUKybrQ4rrNeZBqxzolAet8qBVHrTKg1Z50CqPolqxOWdI1Wo11Wpsi8mAVjnQKQ9a5UGrPGiVB63yoFUeRbVy5nMlbL8gaWfR4yixkyV9v+hBoCu0yoFOedAqD1rlQas8aJUHrfLoV6vNEfG61e5IPVnH4dl+OCLeXvQ4cGS0yoFOedAqD1rlQas8aJUHrfIoohWHwQMAAAAAUDJM1gEAAAAAKBkm68Ptb4seALpGqxzolAet8qBVHrTKg1Z50CqPgbfinHUAAAAAAEqGPesAAAAAAJQMk/UhYvsPbX/b9qO2p22fuMZyl9h+yvbTtj8+4GGue7Z/1vYTtpu213xHSdv/bfsx29ttPzzIMaLlKFqxThXM9g/Zvtf2d9ofN6yx3HJ7ndpu+65Bj3M9O9J6YnvU9u3t+x+wfUYBw4S6anW17Rc61qUPFzHO9c72LbZ32358jftt+5Ptjo/avnDQY0RLF60utr23Y5367UGPES22T7f9b7afbP8N+NFVlhnYusVkfbjcK+mtEfE2Sf8p6TcPXcB2VdJfSHqvpHMk/ZztcwY6Sjwu6WckfaOLZX8sIs7nkh6FOWIr1qnS+Likr0bE2ZK+2v56NS+316nzI+KywQ1vfetyPblG0p6IOEvSH0v6/cGOEtJR/Uy7vWNdunmgg8RBt0q65DD3v1fS2e1/10r6qwGMCau7VYdvJUn3daxTnxjAmLC6JUk3RMQ5kqYk/fIqPwMHtm4xWR8iEfGViFhqfzkj6bRVFnuHpKcj4pmIWJT0T5K2DmqMkCJiR0Q8VfQ4cGRdtmKdKoetkj7T/vwzki4vbihYRTfrSWfDz0vaYtsDHCNa+JmWRER8Q9JLh1lkq6S/i5YZSSfa3jSY0aFTF61QEhHxfER8s/35nKQdkl5/yGIDW7eYrA+vX5T0xVVuf72k73V8/axe/Q2IcghJX7H9iO1rix4M1sQ6VQ4bI+L59ue7JG1cY7nX2H7Y9oztywczNKi79WRlmfaG572SThrI6NCp259p728f/vl526cPZmg4Svx+yuVHbf+H7S/aPrfowUBqn451gaQHDrlrYOtWrR8Piv6x/a+STlnlrhsj4s72MjeqdQjHbYMcG/5PN526cFFEPGd7UtK9tr/d3jKLHupRKwzA4Vp1fhERYXutS51sbq9XZ0r6mu3HIuK7vR4rMOT+RdJnI+KA7Y+odUTEjxc8JiCzb6r1+2ne9qWS/lmtQ6xRENvjkr4g6WMRsa+ocTBZTyYifuJw99u+WtL7JG2J1a/L95ykzi3gp7VvQw8dqVOXj/Fc++Nu29NqHZrIZL3HetCKdWpADtfK9qztTRHxfPtQtN1rPMbB9eoZ219Xa4s5k/X+62Y9ObjMs7Zrkl4r6cXBDA8djtgqIjq73CzpDwYwLhw9fj8l0TkZjIh7bP+l7ZMj4vtFjmu9sl1Xa6J+W0TcscoiA1u3OAx+iNi+RNJvSLosIvavsdhDks62/UbbI5KulMQ7IpeM7THbEwc/l/STar3ZGcqHdaoc7pJ0VfvzqyS96qgI2xtsj7Y/P1nSuyQ9ObARrm/drCedDT8g6WtrbHRGfx2x1SHnZl6m1jmdKJ+7JP1C+52rpyTt7ThdCCVi+5SD79Fh+x1qzdHYWFmAdodPSdoREX+0xmIDW7fYsz5c/lzSqFqHTEvSTERcZ/tUSTdHxKURsWT7VyR9WVJV0i0R8URxQ15/bG+T9GeSXifpbtvbI+KnOjupdb7tdLtjTdI/RsSXChv0OtVNK9ap0rhJ0udsXyNpp6QrJMmtS+5dFxEflvTDkv7GdlOtP4Ruiggm6wOw1npi+xOSHo6Iu9T64+jvbT+t1hsxXVnciNevLlv9qu3L1Drl7iVJVxc24HXM9mclXSzpZNvPSvodSXVJioi/lnSPpEslPS1pv6QPFTNSdNHqA5J+yfaSpJclXcnGysK8S9IHJT1me3v7tt+S9AZp8OuW+T4AAAAAAKBcOAweAAAAAICSYbIOAAAAAEDJMFkHAAAAAKBkmKwDAAAAAFAyTNYBAAAAACgZLt0GAMA6Y3tZ0mNq/R2wQ9JVEbG/2FEBAIBO7FkHAGD9eTkizo+It0palHRd0QMCAACvxGQdAID17T5JZ9kes32L7Qdtf8v2VkmyfW77tu22H7V9dvv2X7P9ePvfx4p8AQAADCNHRNFjAAAAA2R7PiLGbdckfUHSlySdLunJiPgH2ydKelDSBZJukjQTEbfZHpFUlXSOpFslTUmypAck/XxEfGvgLwYAgCHFOesAAKw/x9ne3v78PkmfknS/pMts/3r79tdIeoOkf5d0o+3TJN0REd+xfZGk6YhYkCTbd0h6tyQm6wAA9AiTdQAA1p+XI+L8zhtsW9L7I+KpQ5bdYfsBST8t6R7bHxnQGAEAWNc4Zx0AAEjSlyVd3560y/YF7Y9nSnomIj4p6U5Jb1Nrb/zlto+3PSZpW/s2AADQI+xZBwAAkvS7kv5E0qO2K5L+S9L7JF0h6YO2G5J2Sfq9iHjJ9q1qndcuSTdzvjoAAL3FG8wBAAAAAFAyHAYPAAAAAEDJMFkHAAAAAKBkmKwDAAAAAFAyTNYBAAAAACgZJusAAAAAAJQMk3UAAAAAAEqGyToAAAAAACXDZB0AAAAAgJL5X3IkTmni3fKPAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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" ] @@ -3355,11 +3340,28 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_sp3bdcaq/model_ofjtcp7q.stan', line 16, column 8: Parameter beta is given a lognormal distribution, which has strictly positive support, but beta was not constrained to be strictly positive.\n", - "Warning in '/tmp/httpstan_sp3bdcaq/model_ofjtcp7q.stan', line 15, column 28: Argument 20 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning in '/tmp/httpstan_sp3bdcaq/model_ofjtcp7q.stan', line 15, column 23: Argument 178 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", + "Warning in '/tmp/httpstan__23pozf3/model_2eqnracv.stan', line 16, column 8: Parameter\n", + " beta is given a lognormal distribution, which has strictly positive\n", + " support, but beta was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan__23pozf3/model_2eqnracv.stan', line 15, column 28: Argument\n", + " 20 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan__23pozf3/model_2eqnracv.stan', line 15, column 23: Argument\n", + " 178 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -3367,41 +3369,25 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 5.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.\n", + " Gradient evaluation took 6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.\n", " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -31.8265, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.64494, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.47072, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -0.594544, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 6.6e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.\n", + " Gradient evaluation took 4.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -28.5033, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -4.43673, but must be nonnegative! (in '/tmp/httpstan_kbjylz52/model_2eqnracv.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Rejecting initial value:\n", - " Error evaluating the log probability at the initial value.\n", - " Exception: lognormal_lpdf: Random variable is -1.42579, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", - " Gradient evaluation took 8.2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.82 seconds.\n", - " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: lognormal_lpdf: Random variable is -0.0600676, but must be nonnegative! (in '/tmp/httpstan_oa3q_vy1/model_ofjtcp7q.stan', line 16, column 8 to column 31)\n", + " Exception: lognormal_lpdf: Random variable is -13.0691, but must be nonnegative! (in '/tmp/httpstan_kbjylz52/model_2eqnracv.stan', line 16, column 8 to column 31)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 3.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.\n", + " Gradient evaluation took 8.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.84 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -3500,7 +3486,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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QDwP4F0KIhXaj6v0Aej5mq30M/wuAfyeEON4u0wlvzbUQ4juFEDe3G9xluOvpe5XvfwC4TQhxb3tK8w8DuL7j+x8C8BOivWGacDd5e1efMn0KwB8A+G0hxBuEEPH23/IDQojvby8B+F8A/o0QIifczcm+RgjxTX1eb+Df2GVg9oawALfzoAh31P5nvW8I99Fxf10IkW9PH69gjHMt3bX5/wfAvxRCpIQQd8KdVTLMo9QW4DaatwHEhRA/CaB7xsYbOs7jj7T/ns/h6M/IRwH8qBDi1UKILNy//SEZ8p3tiYiCgA10IiIaW7uR+Z1wN7J6Dq80qL11vN8O4ItCiBrcDeO+R0q5154G/C8AfLY9BffNfd7iQbgjnA92vOcFuGu1/wTuiN8dAD47ZHm/CODvtl9vC8AO3GnBnn8Id2S1Creh+FDH93Ltr+3AnRJchDutfBJ/D25j/yKAP26X68MDfv7H4E5j/1x7Wvan8Mqa5Fva/67BPTb/UUr5v7tfQEp5FcC74G7GVmz/3mc7vv/bcGc7/Gb7PZ4G8Pbu1+nwTgC/D/dYlds//8Z2WQB3vXUSwAW4x+5jGDwtftDf2Pl3HJW9o5yFex432mXr3h/hvQCeb5fhB+Cu2x7H98Idnd8E8NsAPtDu2OjHG+X/JNzp/X/RLqeJw8sBAPfZ5t8N97i+F8C97f0HjvqMfBjAr8F9msJz7df+e+P9eURENE2i9/4xRERERHoR7u7nv9yexh86wn0MYUxK+SND/OxPAbhZSvk3VJeLiIhmhyPoREREFBS3wx3xDR0hxCLcx7/9mc9FISIiH7GBTkRERNoTQnwQ7jPqf9rvskxb++kGXwXwOMbbjI6IiEKCU9yJiIiIiIiINMARdCIiIiIiIiINsIFOREREREREpIG43wUY1dLSklxbWxv592KxGBxn7MfVEvXFbJEqzBapwmyRKswWqcR8kSqzztaFCxeuSilXen0vcA30tbU1PPTQQ0f/YJdCoYBSqaSgRBR1zBapwmyRKswWqcJskUrMF6ky62zdcccdL/T7XmSmuPPDTKowW6QKs0WqMFukCrNFKjFfpIpO2YpMA31pacnvIlBIMVukCrNFqjBbpAqzRSoxX6SKTtmKTAM9Hg/cbH4KCGaLVGG2SBVmi1Rhtkgl5otU0SlbkWmgExEREREREeksMg30YrHodxEopJgtUoXZIlWYLVKF2SKVmC9SRadsRaaBnk6n/S4ChRSzRaowW6QKs0WqMFukEvNFquiUrcg00Ofn5/0uAoUUs0WqMFukCrNFqjBbpBLzRarolK3INNCJiIiIiIiIdBaZBnq1WvW7CBRSzBapwmyRKswWqcJskUrMF6miU7Yi00CXUvpdBAopZotUYbZIFWaLVGG2SCXmi1TRKVuRaaDncjm/i0AhxWyRKswWqcJskSrMFqnEfJEqOmUrMg10IiIiIiIiIp1FpoFumqbfRaCQYrZIFWaLVGG2SBVmi1RivkgVnbIVmQZ6vV73uwgUUswWqcJskSrMFqnCbJFKzBepolO2ItNAX15e9rsIFFLMFqnCbJEqzBapwmyRSswXqaJTtiLTQCciIiIiIiLSWWQa6LZt+10ECilmi1RhtkgVZotUYbZIJeaLVNEpW5FpoJdKJb+LQCHFbJEqzBapwmyRKswWqcR8kSo6ZSsyDfRCoeB3ESikmC1ShdkiVZgtUoXZIpWYL+rHtBxsVFowLWes39cpW3G/CzArhmH4XQQKKWaLVGG2SBVmi1Rhtkgl5ot6MS0HDz61i7LpIJ+K4T13LiIVH20cWqdsRWYEnYiIiIiIiMJls9LCVtVCYd5A2XRQbOiznnwckWmgF4tFv4tAIcVskSrMFqnCbJEqzBapxHxRN9Ny8KmLNWxUWnj8UgPZZAzL6dFHw3XKVmQa6JlMxu8iUEgxW6QKs0WqMFukCrNFKjFf1K3YsFFvSrzpZBonFhK4ez0z8vR2QK9sRaaBnkql/C4ChRSzRaowW6QKs0WqMFukEvNF3ZbTBvKpGEp7NlZzcazlEmO9jk7ZiswmcURERERERBQeqbi7KVyxYWM5bYw1eq6byDTQK5WK30WgkGK2SBVmi1RhtkgVZotUYr6ol1Q8hhO5yRrmOmUr+F0MQxJC+F0ECilmi1RhtkgVZotUYbZIJeaLVNEpW5FpoC8sLPhdBAopZotUYbZIFWaLVGG2SCXmi1TRKVuRaaATERERERFROJiWg41KC6bl+F2UqYrMGvS9vT2/i0AhxWyRKswWqcJskSrMFqnEfJHHtBw8+NQuyqaDfMrdKG6SDeJ0ylZkRtAbjYbfRaCQYrZIFWaLVGG2SBVmi1RivshTbNgo7dlIxIBLlRY2K62JXk+nbEWmgb68vOx3ESikmC1ShdkiVZgtUoXZIpWYL/JkkgIv7Tbxmecb+NKVfXzy2dpEU911ylZkGuhEREREREQUfPWmxHI6jqV5A4V5A6U9G8WG7XexpiIyDXTLsvwuAoUUs0WqMFukCrNFqjBbpBLzRYC7/rxiWkjHBYQAJIDjmTiW08bYr6lTtiKzSdzOzo7fRaCQYrZIFWaLVGG2SBVmi1Rivsi0HJw9v4PzWyYcKXFzYQ5/5bVZvHppbqJN4nTKVmRG0AuFgt9FoJBitkgVZotUYbZIFWaLVGK+qNiwsV2zYQiBRCyGfVsiNxefqHEO6JWtyDTQDWP8KQ9EgzBbpAqzRaowW6QKs0UqMV+0nDawkjVgSwlbyomntnt0ylZkprgTERERERFRcKXiMdx3egn3rLuPVVvLJSYePddNZBroV69e9bsIFFLMFqnCbJEqzBapwmyRSswXAW4jfb0wN9XX1Clb4epuGCCbzfpdBAopZotUYbZIFWaLVGG2SCXmi0zLwUalNdEzz3vRKVuRaaCnUim/i0AhxWyRKswWqcJskSrMFqnEfEWbaTn4tfO7+NVzO/i187tTbaTrlK3INNCJiIiIiIgomDYrLZzb2sPlqoVzW3vYrLT8LpISkWmgl8tlv4tAIcVskSrMFqnCbJEqzBapxHyRKjplKzKbxMVikemLoBljtkgVZotUYbZIFWaLVGK+om0tl8Dp1RS2azZWsgbWcompvbZO2YpMA31hYQGmafpdDAohZotUYbZIFWaLVGG2SCXmK9q8R6wVGzaW08ZUH6+mU7Yi00AnIiIiIiKi4ErFYziR02e0W4Vw/3UdGo2G30WgkGK2SBVmi1RhtkgVZotUYr5IFZ2yFZkGui5TFih8mC1ShdkiVZgtUoXZIpWYL1JFp2xFpoFeKBT8LgKFFLNFqjBbpAqzRaowW6QS8xVtpuVgo9Ka6vPPPTpli2vQiYiIiIiISFum5eDBp3ZRNh3kUzG8587FqW4Sp5Nw/lU9tFrhfJA9+Y/ZIlWYLVKF2SJVmC1SifmKrmLDRtl0cDwTR9l0UGzYU319nbIVmQb67u6u30WgkGK2SBVmi1RhtkgVZotUYr6iazltIJ+K4UrdQj4Vw3LamOrr65StyDTQl5eX/S4ChRSzRaowW6QKs0WqMFukEvMVXam4O6393bfnlUxv1ylbShvoQogfFUJ8UQjxtBDio0KIVNf354QQDwkhnhVCPC6EuElVWWKxyPRF0IwxW6QKs0WqMFukCrNFKjFf0eY+Az2hZO25TtlSVhIhxAkAPwzgjVLK2wEYAL6n68f+JoAdKeXNAP4dgH+tqjxEREREREREOlPdVRAHMC+EiANIA9js+v47AHyk/d8fA3C3EEKoKMj29raKlyVitkgZZotUYbZIFWaLVGK+SBWdsqWsgS6l3ADwcwBeBLAFoCyl/F9dP3YCwEvtn7cAlAEoWQCQy+VUvCwRs0XKMFukCrNFqjBbpBLzRarolC1lz0EXQizBHSF/NYBdAL8lhPgbUspfH+O1HgDwAACsra1hZWUFAFCr1WBZFhYXFwEA+/v7qFQqB993HAfFYhGLi4vI5/OYm5tDqVRCKpVCOp0GAFSrVTiOg3w+DwAwTRO1Wg3Hjh0DANi2jVKphKWlJcTj7uEqFotIp9OYn58/eA0p5cGJNU0T9Xr9YLMB7zUKhQIMwzh4jUwmg1TKXZZfqVQghMDCwgIAYG9vD41G4+A1LMvCzs7Oode4evUqstnswWuUy2XEYrGD12g0GjBNE4VCAYD7+IDd3V0sLy8frLPY3t5GLpfD3NwcAHcHw3g8jmw2CwCo1+toNptYWloCADSbTZTLZRw7dgxCCEgpcfXqVeTzeSSTSQDAzs4OkskkMpnMyOcpkUgAQKDOUyqVOjh+PE/6nqcgfp7S6TQajQbPk+bnCQje52lpaQlzc3M8T5qfpyB+nmKxGFqtFs+T5ucpqJ+n+fl5VCoVnifNz1MQP0/edXFW52kQcdQPjEsI8S4A3y6l/Jvtf98H4M1Syr/T8TOfBPBTUso/aU+DvwxgRQ4o1G233SYfeuihkcuzsrKi1dQFCg9mi1RhtkgVZotUYbZIJeaLVJl1tu64444npJRv7PU9lWvQXwTwZiFEur2u/G4AX+r6md8FcH/7v98J4LFBjfNJ6PRsOwoXZotUYbZIFWaLVGG2SCXmi1TRKVsq16A/DnfjtycBfKH9Xv9ZCPEzQojvav/YrwBYFkI8C+D9AH5cVXm86RVE08ZskSrMFqnCbJEqzBapxHyRKjplS2lJpJQfAPCBri//ZMf3TQDvUlkGTzabxd7e3izeiiKG2SJVmC1ShdkiVZgtUon5ii7TclBs2FhOG0qeg65TtvTpKiAiIiIiIiLqsGtaOHtuF01HojBv4D13LipppOsiMg30er3udxEopJgtUoXZIlWYLVKF2SKVmK/oMS0HHzm3i6dfNpFPtXdzb9g4kZtuA12nbIW366FLs9n0uwgUUswWqcJskSrMFqnCbJFKzFf0FBs2WrZEPmWgbNpIxgSW08bU30enbEWmge49h45o2pgtUoXZIlWYLVKF2SKVmK/oWU4bKKQNXJ+N4/brUrjvjJrp7TplKzJT3ImIiIiIiCg4UvEY3nPnotIN4nQTmQa6TtMWKFyYLVKF2SJVmC1ShdkilZivaErFY1Nfc95Np2yFvwuirVwu+10ECilmi1RhtkgVZotUYbZIJeYrmkzLwUalBdNylL2HTtmKTAP92LFjfheBQorZIlWYLVKF2SJVmC1SifmKHtNy8OBTu3j46TIefGpXWSNdp2xFpoEuhPC7CBRSzBapwmyRKswWqcJskUrMV/QUGzbKpoPjmTjKpoNiw1byPjplKzINdCml30WgkGK2SBVmi1RhtkgVZotUYr6iZzltIJ+K4UrdQj4VU/KINUCvbEVmk7irV6/6XQQKKWaLVGG2SBVmi1Rhtkgl5it6ZrWLu07ZiswIej6f97sIFFLMFqnCbJEqzBapwmyRSsxXNLm7uCeUPmJNp2xFpoGeTCb9LgKFFLNFqjBbpAqzRaowW6QS80Wq6JStyExxJyIiIiIiomAwLQeblRYAYE3xCLpOItNA39nZ8bsIFFLMFqnCbJEqzBapwmyRSsxXdJiWg7Pnd3B+ywQAnFmdx3tPLyprpOuUrWh0Q0CvaQsULswWqcJskSrMFqnCbJFKzFd0FBs2tms2DCFgCIErdUvZI9YAvbIVmQZ6JpPxuwgUUswWqcJskSrMFqnCbJFKzFd0LKcNrGQN2FLClhLHM3Flj1gD9MpWZKa4ExERERERkf5S8RjuO72Ee9a5Bj20arWa30WgkGK2SBVmi1RhtkgVZotUYr6iJRWPYb0wN5P30ilb0eiGAGBZlt9FoJBitkgVZotUYbZIFWaLVGK+SBWdshWZBvri4qLfRaCQYrZIFWaLVGG2SBVmi1RivkgVnbIVmQY6ERERERERkc4i00Df39/3uwgUUswWqcJskSrMFqnCbJFKzFd07JoWntzcw645m6nnOmUrMpvEVSoVv4tAIcVskSrMFqnCbJEqzBapxHxFw+VaE//809vYa0nk5mL4wNuOYzGlttmqU7YiM4K+srLidxEopJgtUoXZIlWYLVKF2SKVmK/wMy0HH35iFy/XLFiORGXfwcVSS/n76pStyDTQiYiIiIiISF/Fhg1DAPPxGBotB/MJgfVCwu9izVRkprg7juN3ESikmC1ShdkiVZgtUoXZIpWYr/BbThtYycZxGwBbAt//hkXl09sBvbIVmQZ6sVj0uwgUUswWqcJskSrMFqnCbJFKzFf4peIxvOfORRQbNpbTBlLx2Uz41ilbkZnirtOz7ShcmC1ShdkiVZgtUoXZIpWYr2hIxWM4kUvMrHEO6JWtyDTQE4lorV2g2WG2SBVmi1RhtkgVZotUYr7Cz7QcbFRaMK3ZTjnXKVuRmeJOREREREREejItBw8+tYuy6SCfcqe6z3IUXReR+YtLpZLfRaCQYrZIFWaLVGG2SBVmi1RivsKt2LBRNh0cz8RRNh0UG/bM3lunbEWmgZ5KpfwuAoUUs0WqMFukCrNFqjBbpBLzFQ79prEvpw3kUzFcqVvIp2JYThszK5NO2YrMFPd0Oo16ve53MSiEmC1ShdkiVZgtUoXZIpWYr+A7ahr7W2/KAADWZrxJnE7ZiswIOhEREREREfmn3zR2r+H+8Weq+PTzejSU/RKZBnq1WvW7CBRSzBapwmyRKswWqcJskUrMV/D1m8ZebNgoNWyk4gKlhj3T9eeAXtmKzBR3x5ntVv0UHcwWqcJskSrMFqnCbJFKzFfwpeLutPZiw8Zy2jiYxp5JCmxUWqg1HWSTMWSSYqbl0ilbkRlBz+fzfheBQorZIlWYLVKF2SJVmC1SifkKh1Q8hhNda8zrTYkT+QTesDaPE/kE6k050zLplK3INNCJiIiIiIjIX712cc8kBZIxgVrLQWHemOkO7rqJzBR30zT9LgKFFLNFqjBbpAqzRaowW6QS8xV8vXZxB4BHLlTQtCUShsC9p3Iz3cEd0CtbkRlBr9VqfheBQorZIlWYLVKF2SJVmC1SifkKPm8X98K8ga2Khc1K6+BrqwsJOBIzn94O6JWtyDTQjx075ncRKKSYLVKF2SJVmC1ShdkilZiv4FtOG8gkBR6/1MBGtYVHL9aRSYqeO7vPkk7ZiswUdyIiIiIiIvJPKh7DPetZbNdtXJ+N43LVQqlh99zZPaoi89fb9myfpUfRwWyRKswWqcJskSrMFqnEfIXDWi6BlYyBJzb38FKliY8/U4VpOdfs7D5LOmUrMg30UqnkdxEopJgtUoXZIlWYLVKF2SKVmK9gMy0HF0v72Ky08I2vSuP6bBzphIELV0ycPbd7aFf3WdMpW5FpoC8tLfldBAopZotUYbZIFWaLVGG2SCXmK7hMy8HZ8zv4uc9exc999io+/VwDC3MGqvs28ikDTUei2PBvFFunbEVmDXo8Hpk/NdBMywnc+hNmi1RhtkgVZotUYbZIJeYruIoNG9s1G4YQAIDSno17X7cAQwB7loNETCCTFL6VT6dsBaMFRJHgPRfx4afLePApf6e5EBERERHRdCynDaxkDdhSwpYSxzNxvLowh/vOLGI+HkPLkXjkQoX3/4jQCHqxWPS7CHQE7xmIxzNxXKlbKDZsnMjp34fEbJEqzBapwmyRKswWqcR8BVcqHsN9p5dwz3oLgLtRXCoew2alhWrTwclcAqU927f7f52ypX/rZ0rS6bTfRaAjLKcN5FMxbFVbiAn4Os1lFMwWqcJskSrMFqnCbJFKzFewpeIxrBfmsF6YQyoeg2k5+NTFGjYqLTx+qYFs0p9noAN6ZSsyDfT5+Xm/i0BHSMVjuPdUDklDBGqaC7NFqjBbpAqzRaowW6QS8xVcpuVgo9I6dG9fbNioNyXedDKNEwsJ3L2e8W0PKp2yFZkp7hQM9aaELYHVbCJQ09yJiIiIiOha3j5TZdNBPhXDe+5cRCoeO5g9W9qzsZqLYy2X8LuoWlDWQBdCvBbAQx1fWgfwk1LKf9/xM28F8HEAz7W/9IiU8mdUlKdarap4WZoy74N6pW4hn/JvmssomC1ShdkiVZgtUoXZIpWYr2Dqt89UKu421nV4gpNO2VLWQJdSfhnAaQAQQhgANgD8do8f/YyU8jtVlaOjPKrfgqZApw/qsJgtUoXZIlWYLVKF2SKVmK9gGjQAl4rHtJgtq1O2ZnU07gbwVSnlCzN6v2vkcjm/3jqQeq0TmRX3g5oIROMcYLZIHWaLVGG2SBVmi1RivoLJG4B79+35g+ntutEpW7Nag/49AD7a53tvEUL8OYBNAP9QSvnFGZWJ+ui3ToSIiIiIiGhUuoyUB4HyBroQIgnguwD8RI9vPwngVVLKmhDiOwD8DoBberzGAwAeAIC1tTWsrKwAAGq1GizLwuLiIgBgf38flUrl4PuO46BYLGJxcRHJZBIrKysolUpIpVIHW+lXq1U4joN8Pg8AME0TtVoNx44dAwDYto1SqYSlpSXE4+7hKhaLSKfTB7v9VatVSCkPel5M00S9Xsfy8vKh1ygUCjAM4+A1MpkMUqkUAKBSqUAIgYWFBQDA3t4eGo3GwWtYloWdnZ1Dr3H16lVks9mD1yiXy4jFYgev0Wg0YJomCoUCAKDVamF3dxfLy8uIxdwPyPb2NnK5HObm5gAAu7u72GlJfN1rTiA/Z+DPX9pBzYrhhlX3mDabTZTLZRw7dgxCCEgpcfXqVeTzeSSTSQDAzs4OkskkMpnMyOcpkXA3hwjSeWo2mwd/yyzPUzweRzabBQDU63U0m00sLS3xPPU5T359niY5T8lkEvF4nOdJ8/MEBO/z5F0TeZ70Pk9B/Dy1Wi3Mz8/zPGl+noL6efJ+j+dJ7/PU/Xlq2Q6+/NI2bjiWRT6b0fI8edfFWZ2nQYTq+fZCiHcA+LtSym8d4mefB/BGKeXVfj9z2223yYceeqjft/uKxWJwHP0f2eU303Jw9vwOzm+ZAIAzq/N47+nZj6CblhOYdejMFqnCbJEqzBapwmyRSsxX8ARlZu6ss3XHHXc8IaV8Y8+yzOD9vxd9prcLIa4XQoj2f39duzxFFYXwelJoMB2eR+h9kB9+uowHn9rV/lnozBapwmyRKswWqcJskUrMV/B07uBeNt0BOB3plC2lU9yFEBkA3wLgb3d87QcAQEr5IQDvBPCDQggLwB6A75E6baEXQTo8j7DfoxiIiIiIiCg4gvgIZb8pbaBLKesAlru+9qGO//5FAL+osgwe29azt0ZHb73JXRuyNoWd1MeZqh60DzKzRaowW6QKs0WqMFukEvMVPKl4DPeeyuFiqYX1gr5PadIpW7Paxd13pVLJ7yJor9cakWm/3jAfyqA9C53ZIlWYLVKF2SJVmC1SifkKHtNy8MiFCsqmg/OX9V2DrlO29Ds6ing78VF/014jEpQ1J5NitkgVZouGYVoONiqtkfbrYLZIFWaLVGK+gico7QGdshWZEXRva33qb9pTy8d9vaDs9uhhtkgVZouOMm59yWyRKswWqcR8BU9Qlq7qlK3INNDpaNOeWj7u63GTOCKi4bC+JCIinQVt6aoOItNALxaVPL0tdFLx2FRv7sZ5vaD0tHmYLVKF2aKjjFtfMlukCrNFKjFfwTPOhtF+0ClbkWmgZzIZVKtVv4sRKJN+oMb9/aD1tDFbpAqzRcMY58kbzBapwmyRSsxXMJiWg81KC/uWgz9+cQ+1pv7LVnXKVmQa6KlUSpuDHgSTrgOf9PdT8RiW02g30qHthxlgtkgdZosGmeTJG8wWqcJskUrMl/52TQsffmIHXyk20bQdxITAm29IH2wQp+syLJ2ypecRIt9NuuPipL/v3Xg+/HQZDz61O9LuxEREURCUnXGJiCgaTMvBR87t4gsvmyibFuotB7umg8cvNZBN6r9sVReRaaBXKhW/i3CNcR6NMyuTrgOf9PeDdOOpY7YoHJgtGmSSepbZIlWYLVKJ+dJbsWGjZUsszRto2kDLBtYWDJzMJ3D3ekbrGbE6ZSsyU9yFEH4X4RBdHyXWuW783lM5XCy1sF4Yfl2jZ9J15EHaKE63bFF4MFs0yCT1LLNFqjBbpBLzpbfltIFC2oDtSNRbNixboOkAq9kE1nIJv4s3kE7ZikwDfWFhAaZp+l2MAzo+GmfXtHD23C6ajkRuLgYBgVrTwfnL43UgTLIjfJA2itMtWxQezBYdZdx6ltkiVZgtUon50pt3/37hyj4ee05gJR3HpXJL+9FzQK9s6X2kQky3EeJd08IvPV7Cn182cblq4XLNwpW65esUc/fGc/TReyIiIiIimr1UPIZTx+dQmDdQ2rOxmotrP3qum8iMoO/t7fldhEN0GiH2NnR4trSPlg3s7NlYW4hjYc7AVrWFhCGQSeoz7UM3umWLwoPZIlWYLVKF2SKVmK9g0KmdMyydsqX/0ZqSRqPhdxGuocsI8SsbOsSRMICbC0l8/xuW8K7bc0gaAi1H4pELFS03s9OBjtmicGC2SBVmi1Rhtkgl5is4dGnnDEunbAXjiE3B8vKy30XQlrehw/XZOO68fh4/+KYCFlNx1JsStnQ3dtB9J3U/MVukCrNFqjBbpAqzRSoxX6SKTtmKzBR36q/fNBRvnTynuRMRERERUT+dT4IKyqi5riJz9CzL8rsIWus1DSUVj+HeU5zmfhRmi1RhtkgVZotUYbZIJeZLT7umhf/8+RI++oVdPPjUbiDbCzplKzIN9J2dHb+LEEic5n40ZotUYbZIFWaLVGG2SCXmSz/eZtNfeNl9ElRpzw5ke0GnbEWmgV4oFPwuQiDp9jg4HTFbpAqzRaowW6QKs0UqMV/68TabzqcMlE0byZgIZHtBp2xFZg26YQQvKDrw1qdvVlp+F0VbzBapwmyRKswWqcJskUrMl368zaYBYG0hjm+5OeNzicajU7Yi00CnyXz6+TrKpoN8ym2wc/MHIiIiIqJo6xzMe/RiHZ/4Sh351B7bCxOIzFG7evWq30UIrGLDRtl0cDwT5zr0HpgtUoXZomGZloONSmvojXmYLVKF2SKVmC89peIxzMVjKJs2UnGBUiN469B1ylZkGujZbNbvIgTWctpAJinw/E4TmWQw15WoxGyRKswWDcO0HDz41C4efro89O65/bI1akOfqBvrLVKJ+dJXJimwUWnhyc09bFRagXs8s07ZikwDPZVK+V2EawTpRkhAwP0/dR+2IB2PTjpmi8KB2aJhjDPLqVe2xmnoE3VjvUUqMV/6qjclTuQTeMPaPE7kE6g3pd9FGolO2eIadJ94N0JBWNddbNioNR3ctJjElbqFYsPGidx0yxqk40FEpJNpPW2js6Gvqq4nIqJwWk4bKMwbKJsOCvMGZ9xOIDIN9HK57HcRDgnSjdAsHrUWpOPRTbdsUXgwWzQMb4OeYsPGctoYqnOzV7b4WE2aBtZbpBLzpa9xrkU60SlbkWmgx2J6hSRIN0Kz+MD1Ox6m5Wj/QdctWxQezBYNKxWPjdSp2StbQb+5Ij2w3iKVmC+9jXot0olO2YpMA31hYQGmafpdjANBuxFS/YHrdTyCMu1dt2xReDBbpEq/bAX55or0wHqLVGK+SBWdssWrsI/cG6GElo3OXlRv4tZ9PPh4NyKi4Q1bR5uWg7JpcxM4IiIiDUVmBL3RaPhdhEDzYzQ7KMsAmC1ShdmiYQ1bR3s/t1pwsFWqaDsziYKL9RapxHyRKjplKzINdF2mLOhomHXefmzi1jntPZMU7TJCu5tJZotUYbZoWMPW0d7PFcz9g5lJnNJO08R6i1RivkgVnbIVmatyoVDwuwhaGva5t95o9la1hZgAMkl1z0PvlIq7I+ePXKho+2xeZotUYbZoWMtpA9lkDM/vNpFN9p9x5NXlr7txReuZSRRcrLdIJeZLL6qXv86STtmKTAOdeht2nXcqHsO9p3JIGgItR+KRC5WZfRi5Fp2IqLfOmyMJCduWqDb7ry/3ZibdcV2K09uJiGhs3iDfR5/axX/6fAm7puV3kUIjMlfmVqvldxG0NMo673pTwpbAajahpKHcrxdO97XozBapwmzRIJ0zoD5ybhc7ezYqTQdfurKPs+f6zzZKxWNIGw4b56QE6y1SifnSR7Fho9Swcblm4emXzYHXnSDQKVuRWYO+u7vrdxG0NMrj3lQ2lI/a4OitN2UAAGsa7nrPbJEqzBYN0jm7aKvaguMAZdNGPmWg6ciB68u9bA2zBwnRKFhvkUrMlz6W0wYShhj6uqM7nbIVzCM4huXlZb+LoK1hH/fmNebffXt+6lMj+01j9xruH3+mik8/X5/a+00Ts0WqMFs0SGenaSFt4H1vcKeuX78QR2HeGNiJury8PPQeJESjYL1FKjFf+kjFY7j/zPDXHd3plK3IjKDHYpHpi1DKbcxP/1j2G533Y/f4UTFbpAqzRYP0mgH1wF2FI0fETctBtSmxWWlpX79S8LDeIpWYL70spuJDXXeCQKdsRaaBTnrrN9V+mGn1nKJJRFHV3Wl6VCeqN2r+9bdm8YcXa8gm3adzJAwBIyaxUWmxLiUioqGpGryLMiGl9LsMI7ntttvkQw895HcxJsZG5fAGHauj1q4TEdErNiotPPx0GcvzBl4qt/Cdr8niD19ooNa0sVG18Kp8EscyButSIiIaCts047njjjuekFK+sdf3InMUc7mc30U4wHV/oxm0Rl6HR7DplC0KF2aLpm05bSCTFJjPLmCj2sJjzzewZzm4XLPxctXCcztNXK3bfJwljY31FqnEfOnDtBxcLO3j186Ho02jU7YiM8V9bm7O7yIcCMK66qDQ4RFsOmWLwoXZomlLxWO4Zz2LRnIBjVoV23ULjgPU9i1IANt1C0YMyCSF30WlgGK9RSoxX3rwBhu3KhY2qi286WQapT070G0anbIVmQa6TnRoVIZlOsooj4kjIiL3cZUvOzGU9mzkUjG8aW0evyclvlpqIjtn4EQujnpTYjHld0mJiEhH3mDjyXwCG9UWLlVaWF2IB3oXd51EpoGu07Pt/G5U6rhu+6h15oOOld+bU+iULQoXZoumxbQcbFZa2LcczMVjWF3cw7ffnMEnvlLDHzxXx1LawB2JFGwAubkY9i0HpuX4fm2g4GG9RSoxX/4zLQf7loNs0u3oPb2awj3rWawN8chmnemUrcg00OPxOFqtlt/FOOBno1K3KfaDOgx07Ezoplu2KDyYLZoG03Jw9vwOntzcQ9l0sDhv4B23H8eXtuq4sL2PfMrA9Qtx3Ps6d/3doxfr+PgzVW3rXNIb6y1Sifnyl3dfXmrYiAng7a/J4tVLc6G4TuiUreAfzSFls1m/i6CN7in2maTARqXl28YOgzZ66/xeqWHjwpV97TagYLZIFWaLpqHYsHG5ZqFlA44EpASuLyygum8jnzJQNm0kYwJruQTm4jHUmg4K8wa2KhY2K3rcrFBwsN4ilZgvfxUbNkrta8qXtvfxB8/W/S7S1OiUrciMoNMrOqfYZ5ICj1yo+DpCPWhNvve9rWoLG5UWHnuuhvOX9ziqQ0Q0pExSoFi3UDVttCQACeTmDKwuJJBO2Lghn8B9Z9w6dTnt/vzjlxoA3NH0oE9bJCKi6VhOG0gYAmXT7eBtOtL3mbhhFJkGer0enh6eafCm2G9UWr5Pdx+0Jt/73oUr+3jsuRpWswlcqbujOnPx2MHP+7npHbNFqjBbNC7TcvBcaR/bdRsQEmu5BG5ensPVuoW337KA1+RtrJ2+tt71dnnfrts4mUsEfldemj3WW6QS8+WvVDyG+88s4uy5XTQdicK8EZqN4XTKVmQa6M1m0+8iaEmHHeWBwWvyU/EYTh2fw/nLe7hSt5BJCjx6sY5a0x31v/dUDo9cqKDUsJEwBO4/s4jF1OyizWyRKszWYGF5GsW0mZaDDz9Zwh89V4dpA3MxYCkdx/pSEq9aSuL02jxgW33r3bVcAqsLcZT2bF+vCxRMrLdIJebLf4upOO47s4iLpRbWC+GZYaVTtsJxRIewtLTkdxG05I1Qv/v2vNbTxjvLec96FrXmK2vWL5ZaB+thnn7ZxNlzuzNdp85skSrMVn/eRjUPP13Gg0/N9jOvu2LDxmbZgt2ezr5vA/V9G7Yjce+pHFLx2MBspeJux+c33ZQ5+HmiYbHeIpWYL/+ZloNHLlTwh8/X8ciFSmiuvzpli1ddao+i6N8D5pVzLZc4NOq/Xkj0XA9DROE1aHPJqFtOG1jLx2EIQLa/diwTRyIuUG/Kgb8LhPfmi4iIJsfrr3qc4k6B02vNup/rYZgtUoXZ6k+X5Tk6SsVj+P7XF/DNN2WwUbFw7vIehBCH6sZB2dLtUZwULKy3SCXmy39hvf7qlC0h5dG96Tq57bbb5EMPPeR3MUhDXI9KFC38zA9n1OPkLR/w8+keRESkL15/J3fHHXc8IaV8Y6/vReaIHjt2zO8iUB+m5UzlOex+TdVntkgVZmuwoCzP8Vuv4zQoW0HZm4T0xHqLVGK+/OXdswMI3fVXp2wpm+IuhHgtgM6h7nUAPyml/PcdPyMAfBDAdwBoAPg+KeWTisqj4mVpQmEYqWG2SBVmi1Q5KluDnqxBNAjrLVKJ+fJPGO7ZB9EpW8qOqpTyy1LK01LK0wDeALcB/ttdP/Z2ALe0//8BAL+ksDyqXnpk0xoxDoMwbDShU7YoXJgtUoXZIlWYLVKJ+fJPGO7ZB9EpW7PaJO5uAF+VUr7Q9fV3ADgr3SPyOSHEohBiVUq5Ne0CXL16ddovOZaw9z6NKgwbTeiSLQofZotUYbZIFWaLVGK+/BOGe/ZBdMrWrBro3wPgoz2+fgLASx3/vtT+2qEGuhDiAbgj7FhbW8PKygoAoFarwbIsLC4uAgD29/dRqVQOvu84DorFIhYXF5HNZrG/v49SqYRUKoV0Og0AqFarcBwH+XweAGCaJmq12sE6BNu2USqVsLS0hHjcPVzFYhHpdBrz8/MHryGlRC6XO3iNer2O5eXlQ69RKBRQawFff2sWTz33Mgr5LHJLy8inDFQqFQghsLCwAADY29tDo9E4eA3LsrCzs4NCoQDDcD8QV69eRTabRSqVAgCUy2XEYrGD12g0GjBNE4VCAQDQarWwu7uL5eVlxGJup8D29jZyuRzm5uYAALu7u4jH48hmswCAer2OZrN58GzAZrOJcrmMY8eOQQgBKSWuXr2KfD6PZDIJANjZ2UEymUQmkxnqPP3oyjFceOFlvObkMaTn3Nfw+zx5x7hYLCKTyRwc417nKR6PI5FIhP48dX6evL83SOcpiJ+nubk5XL58medJ8/MEBO/ztLa2hv39fZ4nzc9TED9Ptm1jb2+P50nz8xTUz1MymcTGxgbPkw/naTmTwfvvWUGjJWGZdcSFDNXn6dixY9jf35/ZeRpE+S7uQogkgE0At0kpX+763u8B+FdSyj9u//tRAD8mpfyzfq837i7uKysr2N7eHvn3pk2XEXRv98VM0n0uLndhHJ8u2aLwYbZoHMPsrstskSrMFqnEfJEqs87WoF3cZzGC/nYAT3Y3zts2ANzQ8e+T7a+FVq9neM+a10lQatjYqLRwIp9AYd4IxHR7PtaBiKg/XTqBiYiIaDyzuGp/L3pPbweA3wVwn3C9GUBZxfpzwJ3eoQu/Hw3kbfKQScZQazrIJmKB2OzBu/F8+OkyHnxqF6blaLHhnk7ZonCJarZ0+FwH1bCb+EQ1W6Qes0UqMV+kik7ZUjqCLoTIAPgWAH+742s/AABSyg8B+H24j1h7Fu4u7+9TVZZkMgnLslS9fKB4mzyUGjayyRhqLQeFeUP7zR46bzyv1C1sVlr49PN130eKmC1SJYrZ4gjw8HrNKBp2E58oZotmg9kilZgvUkWnbCltoEsp6wCWu772oY7/lgD+rsoyeDKZDBqNxizeSnud0+z9XoM+ypT17hvPfdvBVtXCyVwCpT0bxYbty3N7mS1SJYrZ6u6I8+tzrTPTcvBcaR+f+EoNNnBoidKwy6imkS0uOaJeolhv0ewwX6SKTtma1S7upBl3mr17Q7WY8qcMo46UdXcsPPx0GRuVFjYqLZxZndd+BgARHS3sj3GZlGk5OHt+B5+/tIfKvoOTOXeH3c6OjM76XWU5ONOBiIho+iLTQK/Van4XQTt+j36MM1Lm3XhuVFqoNyXesDaP50pNfMON877dHDJbpEoUs6XDRpo6KzZsbNdsJA0BIyZQ2rPxqsXEyB0Zk2aLMx2onyjWWzQ7zBepolO2ItNA12VNgS6mMfoxaQN/kpGy5bSBTFLgic09AMAfv7iHVxfmfLmZZ7ZIlahmaxYjwEG1nDawkjWwUW0hNyfw2mMp3Hdm9Pp70mxlkgKGALZqrUDsYUKzE9V6i2aD+SJVdMpWZBroi4uLfG5ih0lHP6bRwJ9kpCwVj+Ge9Sy267bva9CZLVKF2aJuqXgM951ewj3rLQDA2phPBBkmW/06YU3LwSMXKmjaEjEBvOWG+ZHfn8KL9RapxHyRKjplKzINdDps0nWe05reOMlI2VougdWFOEp7NteqEkWQ38t0/JKKx7BemFP6HoM6Yb36fyUTx+OXGnjkQhWrC3tch05ERDQFkWmg7+/v+10ErUy6zlOHjZx0WavKbJEqzFZ/3KRsMkdla1AnrFf/Xyq7o/h+z2IivbDeIpWYL1JFp2xFpoFeqVT8LoJ2Jhm91qVxrMNaVWaLVGG2XtE9Ws5NyiZzVLYGdcJ69f9mpYVHL9Y5i4kOYb1FKjFfpIpO2YpMA31lZUWLdQU6TMmcVhl0aBzrQJdsUfhELVuD1jw/+NQuSg0bCUPg/jOLWsziCbKjsnVUJ6w3zX4tl/D9mkZ6iVq9RbPFfPlHhzaMSjplKzINdB3oMCVThzIQEXXrrpvuPZVDvSmxnDZQbNgoNWxcrlkomzbOntvFfWcW8dabMgDG3yiNBhumE5YdtURE4cf2w2xFpoHuOI7fRdBiSqYOZQgbHbJF4RSlbHl1U2HewAs7TfzXJ3YAIQ4a6wlDoGzayKcM7FkOzp7bhS1xcKNAo4lStmi2mC1SifnyRxTaDzplK1xHdoBiseh3EbSYkjmNMpiWg41KC6Y1+yD7+d796JAtCqcoZWs5bSCTFHj8UgMvVVr4i1IThXkDZdNBvSlx/5lF3HFdCtcvxJGKx9B0JI5n4iib7pQ7Gk2UskWzxWyRSsyXP3Row6imU7YiM4K+uLiI3d1dX8ugw8Zqk5bBzykuuk6v0SFbFE5RylYqHsM961ls121cn43jic09XKq0sLoQP6irHrirgGLDRiYp8MiFSqhvFFSLUrZotpgtUon58ocObRjVdMpWZBroiUTC7yIA0GO93iRlGGWKy7Q3kzjqvQdtMKWyQtElWxQ+UcvWWi6B1QV3VPz0agr3rGcPrS/vrLvCeKMwyw14JsmWV85MUhzsExCWc0CTi1q9RbPFfPlHhzaMSjplKzINdHJNegM47BSXYUe7RynPoPfu9366jroT0bWG6aHvrDNO5PS5mE6q1071iyn9LtGd5dyotHAin0BuLnZNZwoRERGNR7+rvyKlUsnvIvhuGo3VYae4dI52b1VbuHBlH6eOz/V8dNKw5Rn03p0bTF0qt7BZaWG9MDeTTS2YLVIlitka1EMflEbsOHrtVP/AXQVlDd5xs+XVqZlkDLWmg5QhcH7LxHbdxupCnJ2gFMl6i2aH+SJVdMpWZK6iqVTK7yL4rrOxOsnGSu4N9OCREm+0e6vawkalhceeq+Hs+R1cLO0fbPA2Tnn6vXfnBlMb1RYevViHaTkz2dSC2SJVmK3Dig0b23ULL5abeOqyibPndrXaMHISy2nj0E71TUcq3fxu3Gx5dWq96SCbjKFkumU8mUtwwz4CwHqL1GK+SBWdshWOoYchpNNp1Ot1v4vhq1nuwOiNdl+4so/HnqthJR3H45cah0ZZplmezg2mTuYSKO3Z7dHyhPK1qswWqcJsHZZJCry428KVuoX5eAymJUPzqJdUPIb7zyzi7LldNB2JwryhtI4eN1udM5kySYFSw8ajF+so7dncsI8AsN4itZgvUkWnbEWmgU6z2YGxe035qeNzOH95D5fKLQBQ2nj2NpjqvlEM+6YWRGHn1Sv7loMb8wkYMaDelEjFRWgahKblPk7u3XfksFmxsV7Qdz13Z526mIpjLZcI3YZ9RER02Cw3Mo26yDTQq9Wq30XQgsrGqmk5OHt+B9s1GytZA/edXjroFNistHqOskyzPL06IGZRmTBbpAqzdXivikxSoJCOw4gJJAyB+86EY71zr43Xzl82lK7nnma22AlKnVhvkUrMlz+isOmyTtmKTAPdccKxTlEH/Rq9m5UWzm+ZMITARrWFe9bdjdpS8RjWcgncvZ4BAKU7/XbeKM6qMmG2SBVm69rHK77j1izm4rFQ9eB3b7yWTcQO1nOravgyW6QKs0UqMV/+mMWmy37TKVvhOrID5PN5v4sQCl6j9+Gny3jwqV3smhY2Kq1DGzU5UqJlS+y3v+b9zsefqeLTz89ubce0NsU7CrNFqjBb1+6dsZZLHLlJZdB0b7xWaznK13NPO1um5VxzLaBoYr1FKjFf/pjlPlZ+0SlbkRlBp+nofnza2XO7sCWQT8Vw76kc7rguhXNbe4jFgE88W8dqLoF6U8681820HOxb7s1umCsTonEFZS3ZLPbO0MFbb3JnGBXSBupNGai/NQpTH4mIos67TqmcCUuuyDTQTdP0uwih0NmDljAEmo7EajaBK3UL9abEt92cxXbdwq7p4MIV9zFI951ZnGmvW/ea1XfcuqC0MmG2SBVV2QpagyrMa5x7nYvFlPq/dZrZisLURxoer4mkEvM1e72uU2GkU7Yi00Cv1Wp+FwFAcEat+ul+xM4jFypdDW8D+ZSBl8qtg2f51ptypiNg3s1iYd442D1e5Xvqki0KH1XZYoNKH36di3GztWtauFhqYb2QwGLKvYWIwtRHGh6viaQS8zV7Ubln0ClbkWmgHzt2DNvb276Wwe9Rq2l1DnSOZvVqePd6lu80R8CO+jvcrwt89sU6jJjAoxfrA0fQJz0uOmSLwklFtsK2/CPonZ5+NW7HydauaeGnH7vibmSXjOEDbzuOxVQ8MssQaDi8JpJKzNfsRaUTVqdsRaaBrgM/e6BUdQ70angvpuJ44K6Ckpu1Yf4O94bdQtOWKCRjKO/bfY+1350mRLM06+UfqoXh85uKu/t3eKPSR5Xfzw6Ji6UWak0Hy+k4ig13JP31a+5tRJiXIRARRRk7YWcvMkfYttXs4D0KP3ugZrWjuce9Wet9sznJbr9H/R2m5eAj53bx3E4TjgOUTQfJmOh7rKdxXHTIFoXTtLPVmfd6U2IuHgvEhbZfnTHrek0F03LwyIUK/vD5Oh65UDn0N3b/3bumhf/8+RI++oVdPPjU7kQ7pg+brc4yrBcSyCZjKDYsZJMxrBcSY78/hReviaQS8+WPQff1YaFTtoYaQRdCLAG4BUDK+5qU8o9UFUqFUqnkdxF87YHSZXrKpCNeR/0dxYaNli2xNB/Hzp6FmwtJ3Hem/3tM47jokC0Kp2lnS5d6YBSD6owg/j3d+s2s6v677z2Vw0fO7eLpl03kU8bB7447aj1Mtnod+w+87fg1a9CJOvGaSCoxX6SKTtk68uoqhPhbAP4+gJMAzgN4M4A/AfA2pSWbsqWlJezs7PhdDN+mAeoyPaX7MW0Xruzj1PG5octz1N+xnDZQaN+k35BP4P4ziwNvIqdxXHTJFoXPtLOloh5QPeV60NIgXeq1SfTqZDAtBxeu7KO0Zx88JeNiqYWWLZFPGSibNm7MJybqkBgmW90bbm5WWlgvzB1MayfqhddEUon5IlV0ytYwV9m/D+AuAJ+TUn6zEOJWAD+rtljTF4/zhkKHNYLezehWtYWNSguPPVfD+ct7I42kD/o7xrlhn/S4MFukiopsTXvDRtVrwI8aJdehXptEd50FAA8+tYtSw8ZGxX0KhbvZpkDLllieN3BDPjFwZtAwhsnWctpAJinw+KUGAOCTz9bwbTfzGbg0GK+JpBLzRarolK1hSmJKKU0hBIQQc1LKZ4QQr1VeMgol72b0wpV9PPZc7WB0aJob5gX9hp0oKKa98WWv0fgwjJIfpbPO2qi0UDYdrC6467u/4cYM5g3g3/6fEmr7NlLxGP7ZN6/MZHp5Kh7DPetZbNdtXJ+N44nNPXdUfyEeyA35iIiIgmCYK/wlIcQigN8B8AdCiB0AL6gslArFYtHvIkRa9433qeNzOH95L9BrRz2qsxX0x0jR+HSvt6a5BnzQaHyUOt06j2k6KfAnL9ZxpWHhctXCqxYT2NmzsVmxcX12svcZNltruQRWF+LYqlgAgJO5BEp71z4Zg/UUeXSvtyjYmK/Zi0r9rlO2jmygSyn/Wvs/f0oI8b8B5AF8QmmpFEin01o9gD5K+t14h2VUTGW2wvAYKRqf7vXWND/Hfj6GUifeMd2stPDxZ6q4sL2PTFIgJoDtuo3F1HR2Tx82W53lefRiHaU9+5rOGNZT1En3eouCjfmarSjV7zpla2ADXQhhAPiilPJWAJBS/uFMSqXA/Py8Ngc9avrdeIdlVExltvpt0kTRcFS2dOjVntbnOAw7so+q3/lLxWOYi8dgO69sCvf61RS+8VUZ3Hp8birT20ett+biMbzr9hzqTXlNedm5Qp14v0UqMV+zFaX6XadsDbzKSyltIcSXhRA3SilfnFWhKFyieOM9Ld2bND16sc4NmgjAK73apYaNhCGOfGJB9+/63bDvFqZZNcM46vxlkgJJQ2AlYwz1RArV5Rw0esI6nogonFi/+2OYq/0SgC8KIf4UQN37opTyu5SVSoFqtep3EXzn10152G+8VWarc5Omfms/B9GxIUbDG5StYsNGqWHjcs1C2bRx9twuHrircOR51nW6Wr+shjXDg86faTl45EIFTVsiFY8paZwPW28NM3oS9jqeRsP7LVKJ+ZqtKNXvOmVrmCv+P1NeihmQUvpdBF/5fVOuy3R2FTf7qrPlbdLUa+3nIH6fc5rcoGwtpw0kDIGyaSOfMtB05FCdNzoum+iX1TBneND5887R6oL7lItSw+45tXwSw9Zbw46ezLqOD2vHTRhE/X6L1GK+Zk+Xe3jVdMrWMJvEBXbdeadcLoft7W2/izGSad6AqFxDEpQbJVU3+6qy1Xlcx+m9jNK6obA6Klvf+jUZOI6EDe9Z2Ud33ui4bKJfVsOe4X7nr7NRnEkKPHqxjlrTn3pLx9GTMHfchEEQ77coOJgvUkWnbB3ZQBdCVAF4XQpJAAkAdSllTmXBom7aNyCq1pAE6UYpSDf7vY7ridxoOzdz3VB4deYjM+cugxi2kT3psgkV+mU1rBk+6vx1Nor3LQcff6bqa72l2+hJkOpyIiKiUQ0zgr7g/bcQQgB4B4A3qyyUCqZp+l2EkUaap30DomoUJEg3Sso6KRRkaxrHVceRLxpNv2x152MuHhvp/I67bEKVflkNa4aHOX9eo9i0nMDUW7OSSQoYAtiqta6ZORKUGV1hFuRskf6YL1JFp2yNtOuMdCfn/44Q4gMAflxNkdSo1+tH/5BCo440q2hMTnMUxLsJyiRFYEa4VN3sq8jWtM6/biNfNJp+2Zo0H5N+FlQ0gvplNYwZHuX8BanemoXODfQShsC9p3IHxyRIM7rCLKjZomBgvkgVnbI1zBT3ezv+GQPwRgD6dDEMaXl52dd1BaOOiOo8ctR9E3Tvqd7PxtVRv5v9SRocKrKl8/mn2emXrXHz0Z3zcRq+bARNbtTzp6KTwu9r4rg6N9DbqrZwsdTCqePuDIQgzegKs6Bmi4KB+SJVdMrWMCPof7Xjvy0Az8Od5k4jGGfES9eRo+6boHpTjrw+Wie6Njh0Pf+kh1HzMa2csxE0Hfx8j8e7lm5VW9iotPAHX63iMy/Ucf+ZxYFT34mIiIJimAb6L0spP9v5BSHE1wO4oqZIati27ev7h2lENGwbN03a4PA7WxRe08zWtBrWYfv8R1VQ6y3vWnrhyj7+4KtVbNdtlM0mPvzEDhbmjJ5T32m2gpotCgbmi1TRKVvDNNB/AcDrh/ia1kqlkt9FCM2IiY7rVycxaYNDh2xROE0zW9Pc10C3zkbd6pQgCHK9lYrHcOr4HD7zQh1ls4mFuRi2GxbqTQfrhbmDmV2LKb9LGk1Bzhbpj/kiVXTKVt8GuhDiLQD+EoAVIcT7O76VAxC4IZNCoaDVgQ+6IK5f7b6Jn/Q54x5mi1SZZram2bDu3GH8YmkfAHx7lrquS1RUmkaHhIp6S3VHSffr339mER9+YgdfKTbRaDloxCXmOb3dd7wmkkrMF6miU7YGjaAnAWTbP7PQ8fUKgHeqLJQKhsGLtQ78Wr/aa2O7Ry5UJnrOuIfZIlVGydYwjaNpzeIxLQeblRY++WwNX3jZ3TP0zOo83nt69MZxv3IP29iL2pr4aXVIjFpvHXU++pVrWo127/VLDRsJQ+C778jBdgTe/pos9i5UcTKXwHbdwttencWp43Oh76TRGa+JpBLzRarolK2+DXQp5R8C+EMhxK9KKV+YYZkoxPxav9p9E3+x1IrUTT2FS3ejZ9e0cPbcLpqORGHeGLnRNkojymsoXSq38NxuE/PxGAwhxvocDWrUDdsIjdqaeD86JIY5H73KtZzG1GY3FBs2Sg0bl2sWdvYsfKW4j5uWksjNxXA8E8d23ULCEFgv+DOTg4goTLyO+KppY8+SuPX4HBZTIz2dmyYwzJFuCCH+XwC3AThY0SWlfJuyUilQLBb9LgLBv/Wr3Tfx64UEzl+ezk09s0Wq9MpWr9kgHzm3i6dfNpFPuTkepdE26ois11DaNW3UTQeNmEQhbeB4Jj7y58hr1BXmDVwqt7BZaWG9MDdSI1THNfHDGHdkeVodEqPUW8Ocj17lmmZnwnLaQMIQKJs2MkkD9aaDbCKGelPi229O4w++WkfTkXjkQiUSyxymadpLE3hNJJWYL/VMy8HZ8zv4s40GtusOEobA6kIcP/2246FupOuUrWGO8m8AeAjAdwL4AQD3A9DjIXEjyGQyqFarfheD4M9meb1u4qd1U89skSq9stVrNkjLlsinDJRNGzfmEyM12kZtRHkNpeq+g5OLCSzMxfD2mxdwem1+5M/RctpAJinw+KUGAODRi3Ws5RIjN0KDtgHnJNPUp1V3jVJvDXM+epVrOY2pzW7w1pyfPbeLPcvB5aqFWsvt3JmLx2BLYDWb4IyoEanYw4HXRFKJ+VKv2LCxXbNhOwKOBAwBVEwHF0stvH4tvA10nbI1zFFellL+ihDi73dMe/+86oJNWyqV0uagkz+6b+KndVOvMluTjGxwZ+vg65Wt3rNB3IbPDfkE7jsz2g32OI1hr6HkTakfp3HuvdY961ls122czCVQ2rPbjatEIEfFhzXpyPI06q5R6q1hOwV61bHTPI+LqTgeuKuAYsNGJilQb8qDvHoZziQF9i0HpuWELjcqqFgywfstUon5Um85bWAla+CFskRMALYEcu37jTDTKVvDNNBb7f/dEkL8FQCbAArqikQ0fUFsrE4yshHFna2jYtqzQcb5/c6G0qSfqbVcAqsLcZT27EMdBN4IrLeWOUz5DeK6+XE7BaY5u6G7Hu98jNp77lzEZqWFRy/W8ciFChKGwP1nFkM9HXMagphFIlIrFY/hvtNLuGc9yzXoPhnmSP9zIUQewD+A+/zzHIAfHebFhRCLAH4ZwO0AJIDvl1L+Scf33wrg4wCea3/pESnlzwxZ9pFUKhUVL6tcEBuWulHdWFWVrUlGNqK2s3VY9ctWr8brMOe3X30yTiNqajNQ+nQQhLmTSYd180G7Jh6Vh1Q8hrl4DGXT3UiubNo4e24XD9xVCE1uVFCRxaBli4KF+bqWirZCKh7DemFuKq8VFDpla2ADXQhhALhFSvl7AMoAvnnE1/8ggE9IKd8phEgCSPf4mc9IKb9zxNcdmRBC9VsMNM6HJ8w3qLOkurGqKluTjGxwVCQc+mVrnLpB5/qkV2M/7J1Mfq+b9/uaOKphN6rzNpLLpww0HRm63Kgw7SwGLVsULMzXYSqu7VEdHNQpWwMb6FJKWwjxvQD+3agv3B51/8sAvq/9Wk0AzTHKOBULCwswTdOX9x73wxP2G9RZUd1YVZWtSUY2dBiho8n1y9Y4dUPQ6hN2Mqnl5zVxHMNuVNe9PwJzM3tByxYFC/N12LSv7Tp35qumU7aGmeL+WSHEL8Ldyb3ufVFK+eQRv/dquLu9/1chxNcCeALA35dS1rt+7i1CiD+Hu7b9H0opv9j9QkKIBwA8AABra2tYWVkBANRqNViWhcXFRQDA/v4+KpXKwfcdx0GxWMTi4iLS6TRWVlZQKpWQSqWQTruD+dVqFY7jIJ/PAwBM00StVsOxY8cAALZto1QqYWlpCfG4e7iKxSLS6TTm5+cPXkNKiVwud/Aa9Xody8vL7s/XmyibJXzX6ZOwEENuKQWrvotMJoNUyl1EV6lUIITAwsICAGBvbw/HZR33vvFVMC0J27awPG+iUCjAMNwbjqtXryKbzR68RrlcRiwWO3iNRqMB03R/BwBarRZ2d3exvLyMWMz9sG1vbyOXy2Fuzp3Gsru7i3g8jmw2CwCo1+toNptYWloCADSbTZTLZRw7dgxCCEgpcfXqVeTzeSSTSQDAzs4OkskkMplM3/N0pbSL3NIxpBMChsDBeUok3A0opnmeVubn8f7jK3jxShm5OYGVwmLP8+S9RucxLhaLR54nIcRB5izLws7OzlTP0w1jnieUy/ja9eNjn6fanolnN0u47abrkTBihz5PKs7TsJ+ncc9To9E4eA0V5wljnqdBn6d0Oo14PH7NeVqNGbj3jYswLYnanonltHWQwaZl48ILL+M1J48hPZc8OE83HZ8/+J0XtnextjiPleUlrc/TDxcK+PKlbbzuxuOYS8S1PU/AcPVev+uTH58n75oYpM/T9yUTaFgxnDyWQ8KI9a73UMZP/pXXotGSSCcEdkvFQJ+nINZ7sVgM8/Pzkfo8BfE8BbXe884Fz5N7ntIL+8g/W8Ubb1lDKi5w2/Wpieq9smnjza/J4NxXt3DLiWPILeWQTxmR+Dx518VZfZ4GEUf+gBD/u8eX5VHPQRdCvBHA5wB8vZTycSHEBwFUpJT/rONncgAcKWVNCPEdAD4opbxl0Ovedttt8qGHHhpY5l6y2SxqtdrIvzcNk272pfso6KhlnHXv3KDyTeP4+pmtQSbdAT6qPag6GZStXuf3qPMWhPqEZkPXeouCj9kilZiva5mWg82Ku6f3Wi4x0fU9yvd/s87WHXfc8YSU8o29vnfkCLqUctR1555LAC5JKR9v//tjAH6867UrHf/9+0KI/yiEOCalvDrme/bVaDSm/ZJDm3Sqss7TUEf9IJuWgwtX9lHas2fyzNpB5ZtWJeRntvqZ9G8L2nTosOqVrc5G9onc4UeebFZa2KpaXY8sm/zRgqoa9uww8I/KeqvXzaLKc80cjU/FsdPxmkjhwXz19unn6xPfz3p191tOzmMuHpu4sR80OmXryAa6EOI6AD8LYE1K+XYhxCkAb5FS/sqg35NSXhZCvCSEeK2U8ssA7gZwoeu1rwfwspRSCiG+DkAMQHHcP2aQ5eVlbG9vq3jpoeje0B7XKA05r9FYatjYaN+8qV4jOKh8nd/bqrZw4co+Th2fG7ky8jtbvUzawOb6Xz10Z+uoDqdPXaxho9LCRqWFM6vzE58372L96MU6as3+F/5JNsEsNeypPBIrSI00Hcqqqt4yLQdnz+/g/Ja7ju/M6jz+6q1ZPPyFysG68GmOyER5tGdSqo6djtdECg/m61rTGFTpVXe/9/SigtLqS6dsDXM39KsA/iuAf9L+91/AXY8+sIHe9vcA/EZ7B/eLAN4nhPgBAJBSfgjAOwH8oBDCArAH4HvkUXPuSSujNOS8CmR1wR31e9urs2M1iKdVPu97W1W3QfPYczWcv7yn5Q3eqDf002hgv/Umd61S1HpQdTZohLzYsFFvSrzpZBqXyi3cvZ6ZyjS3rYqFjWoLbzqZ7jkqP8kmmKXGdB6JFaRGWpDKOo7NSgsv7rYQg4AQwFa1hV/+sx18tdTC0vwrWZ1Wh/UwN6bTnP4ZJt2d1Oe3TBzPGIeOkQ6dSUQ02DTu+YoNG9s1G0Z7J3POnvTXMA30Y1LKh4UQPwEAUkpLCGEP8+JSyvMAuufWf6jj+78I4BeHLOtELMuaxdtEzijT9zsrkELaUN44P6p83vcuXNnHY8/Vxp5yrzpb49zQT7Ksotf7kT86s3XUCLn3+Srt2VjNxbHWNf19VN7N+8l8AhvVFi5VWlhdiF9z4R+3536aj8QK0pIMXcqqot7yMnq1YaFsOlicN5BOxPCV4j72bYmNioUbcompzsg56sa036gQG5uHO6lfKjfxkXNNCHF45GycziTeb5FKzNe1pvHknuW0gZWsgY2q25l5PHPt9T7sdMrWMA30uhBiGYAEACHEm+E+Ez1QdnZ2/C7CWLze60xSoNRw+0V0GwEYdvq+X4/+GlS+VDyGU8fncP7y3tg9j6qzNe4N/bjLKnRpQNDhbB01Qj7tz1dng//0agr3rGd71j3j9txP85FYQVqSoUtZVdRbXkbfckMGL+w08a03Z5Gfj+EXPtfEUkqgaUt8+y3Zqdb9/XLvXTv3LYejQn10dlJ//JkyXq7aiIlXjhGAsa4FQb3fomBgvnqbdCltKh7DfaeXcM96C/uWgzmN2hmzolO2hmmgvx/A7wL4GiHEZwGswJ2aHiiFQgGlUsnvYoykc43mS+UmmjYO9W6POiqqwzQ1HdfiT9qwUZ2tXjf0Ks+nLg0IOpytYUbIp/n5GvZzMcnnZzEVxwN3FSbOsl+df+PQpawq6q3OjF6fi+N4No5C2sCZ1XlcqVs4nonj1YW5qb4ncG3uO2cBZZIChXS0R4UGScVjWC8ksLtnY2fPRiwG3H5d6uA6Ywhgq9YaqQMtiPdbFBzMlzqp9sZwYV6GNYhO2RpmF/cnhRDfBOC1AASAL0spW8pLNmXes++CxBvJTMUFSnsO0gmBZCw28ghA2Nc8TsMkDRvV2eq+oQfGm3Y47vsxK/7pzNag86Kqw2aU2THjfn6m1amgY+dfPzqUVUW95WXU21jw489UkU/F8K7bc6g3JTJJ0c4plNYr3bOA3nHrAr7tZvfZtLrNQNNBvSlxw2IStywLlEz74Fg9cqGCpi2RMATuPZUb+rgF8X6LgoP5UqNz1lFUZ1HqlK1hdnFPAfg7AL4B7jT3zwghPiSlNFUXLuqW0wYySYEnN/fQsh1UHIHFeTHyCACnLAdf5w39RqWl/Hzq0ICga/U6L/32DBilwa7LDBsKvlQ8hrl4DLWmg8K8gUvlFkoNe6ajMp1rqxOGO4I+yRMCwm45baAwb6BsOrg+6x6nzfZ1ZiUTPziHPIZE4dQ96yib5CxKvw1T254FUAXwC+1/vwfArwF4l6pCqXD16tQfra5cKh7DPetZbNdt3HUijo1yC996cxan1+ZHurHhlGW1Zp0tns/oGCZb3R1wm5XWSM9D5QybaFJZb3mdy49fcp8p++jFOu5ez8ysozgVj+HeU7mD/Q0euVBhrgfoNfMhkxRIxQ+fw2FnHwTxfouCg/mavmtnHWUxF49FrtNep2wN00C/XUp5quPf/1sIcaHvT2sqm82iWq36XYyRreUSWF2Iu7spLyZGapx3jorNYspyVEfhZp0tTkGPjmGy1d1hA4y2sdOgGTadj6cqpA3Um5KZCwmV9VZn57L3SEAAPTsWVV036k0JW2Lsp3NETefMB68ueMvJeXc/gWwcl6tu59/6EHsIBPV+i4KB+XrFoPpzlLq1+z4iqkuBdMrWMA30J4UQb5ZSfg4AhBBvAvBnaos1falUSpuDPopxG2O9RsVOTPjYpVHfLyof7lGzNY0bUk5Bj4ZhstVrj4JRZlj0m5HR+XgqR0rMxWO4IZ9AYd6I1Oc7rFRfE73O5dKefXDD130tU3nd4Eyj0XUfs1uPz+GpKyae2NwD4I6iF9LGkU+UCer9FgUD8+UaVH+OWrdy4MelU7aGaaC/AcD/EUK82P73jQC+LIT4AgAppbxTWekIwHiNsVmvO+c69+FM44Y0qjMVqP+5764jRrnQ9rswFxv2weOpHAeomA6yx2IoNWxcuLKPU8fnmD/qq1+ultPe/ghqrxu93p9152Hdx6PXMeucCbFdt/DhJ3bwbKkJgM+UJ/JTr+Vt3rT0UevWztlyADszdTBMA/3blZdiBspl/x7d7sdNwaxHD6I8WjFKtia9IZ31TAXe0PqrM1ujnPtRO/V6/fxy2sBKtv14KiGRS8VQ3rdxuWrhsedqOH95jyPpATaLa+Kgx5/lU+46cZXXjc73j/Isr176HY9UPHaoE6VzJkTCECjvH/1MeT/vtyj8mC9X5313Jinw6MU6as3Ddau3UWYmKfq+TudsOSDaHW86ZWuYx6y9IIRYAnBD589LKZ9UWbBpi8X8CZpfNwWdPeGzeLRNlKfHjJKtSTsyhm3gT6NhzRta/3Vma9azVFLxGO47vYR71l9Zg36x1MJjz9Wmsq6XnT/+8uOa2J3helMOfd2YNC/Fho1Sw0Ym6c4Cifosr371Sa96v/Ne4uGny7hctQD0f6a8X/dbFA3Ml6vzvnvfcvDxZ6qH6tZhN8rcrLTw4m4LMQgI0b/jLQp0ytYwj1n7/wH4PgBfhfuYNbT/923qijV9CwsLMM3ZPxnOz6nfXk/4rBpZUV0XPUq2Ju3IGKaBP62GNZct+K8zW37MUknFY4c2hTp1PIbzl/cmLgM7f/znxzWxV4aHuW5MIy+ZpMBGpYVa00E2GRs4ohQF/eqT3vV+4uAcdXba9VuD7tf9FkUD8/UKr/40Leeaz3OxYR+5UaZpOfjUxRquNiyUTQeL88bIj3IOE52yNcwU93cD+BopZVN1YcLI76nfbGTpZ5KOjGEa+IPWJfHxfME161kqvUYsp1UG1kvRNG5+ppGXelPiRD6BbCKGWstBvSmxmBrnrwgH71F0F0strBdeaWgfVe93d9oRkT+6r9Hdm8XuW86RzzMvNmzUmxJvuSGDF3aaYz3KmdQYpoH+NIBFAFfUFkWtRqPhy/v6PfWbjSz1ZpUtrzI+auRn0LqkUUae/M4uXZutWc1SGTRiOY0ysF7yn5/XxM514V6dNugRfpPkpfM9CvPuDuRHrcmMAtNy8MiFCsqmg/OXD69Bn7Te9ytbFA3M1yvXaK8+u//MIhZT8WuWqWSSAt9+cwZzfT7HXt1a2rNHfpRzGOmUrWEa6P8SwDkhxNMA9r0vSim/S1mpFPBzyoKfU79n1ciK8nrSWWSrszLeqLRwYsDjrgatS+pcZzjM+YrqsgVdTJKtYc9xr59TPcLNzh//+XVN7GwwP3KhMnKdNurjRs+e38F2zcZK1sB33bqAh79QOXJNZhQM+oxPWu/rMkWUwon5emVPjcs1Czt7Fn7pcQc/+KYCUvEYLlzZR2nPxmo2ga1qC3/w1TpsiZ6DNLwWH6ZTtoZpoH8EwL8G8AUAjtriqFMoFLC9ve13MXyhupEVlvWk43YyjJOtUd/Lu5nKJGPuGspEDGXT6dtwGrQuKSznKwrGrbeGPcf9fm4WI9zs/PGXH9fEzrzFBLBvScQEUNl38Noh67RRbFZaOL9lwhACG9UW7jyeOnJNZlRM+hkfdA2L8v0Wqcd8uZ/fhCGws2ehZQPPlpr48BM7WJgzUGpYeLHSguMAc3GBpiMP1XmvPKXBvR/sXuYSZTpla5gGekNK+fPKS0KBFYb1pLNstI7zXgfTkBo2skl3DWVh3jjypqpX7+hGpRX480WDDfuZ7Pdz7FUnFTrzdqncxEuVFvZaDvYtt5F+LHN0nTaJfCrGpRVtk3zG2clL5K9UPIb7zyzilx538GypiaV5A7WWg1rTQWXfgdlyYDsS331HHr//F7WDOi+TFAef3bk48OWrTTTaG2d+4G3HsZgapllIszDMmfiMEOJfAvhdHJ7iHqjHrLVaLb+LEFphWE86SSfDqNka5726H5s3aL1mr9/tfP1Rz1eUly/4bdx6a9hzPOjngjbCzZyOxo9rYmfeUokYbsgnkJszUDFt3PM1WZw6PjfVc7eWS+DM6jyu1C0cz8Tx6sIcXl2YC3VORvkcjPsZP+oaxvstUon5cj/n9abE+96weLBsJzcXQ70p8VK5haX5OBJxAdsRhzriOj+7X7piomI6uC4bR7Fh4WKphdevRbuBrlO2hjkTZ9r/++aOrwXuMWu7u7t+F8EXs7hpDcNo2ySdDKNma9z36ryZmmT34VHOV1BGSsLaOBu33uru0PGmtU1rba9ugpJTnfhxTezOpbdJ2Uo2PvXGufd+7z19bb5fmeJ57WciyGb1OTjqGhbV+y2ajajnq/tzft+ZxYNBG9NycPbcLvYsB4mYuxlm573jctqdSbRVbSGfiqHSFCg2LGSTMawXEj7/Zf7TKVtHNtCllN88i4Kotry8jGKx6HcxZmqWN61BG23rNklDZdRsTTq1cBqNqWHPVxCWL4S5cTZJveWuJceRx6ZXFvrlTNeOkCDkVDd+XRM78zaLzqHufIe5vuj1OehcbzrK5nqDfueoa1gU77dodqKer+7Peb0pcSLnNq5TcbfBfvbcbs/NML3HK7rfB25dmcPrr5/HrcfnOL0demXryLMhhLgOwM8CWJNSvl0IcQrAW6SUv6K8dFMUi4XjAjwK3rSOZtxOhnGyNc57TXJjOW7DajltIJMUeH6niZWs2vWh4wpzziett8Y5Nv1ypnPDJkjLbHTp5NDhmuhHx26Y64vuz0HnetN8yr0xP2p51LCf80HnTodsUXhFPV9HXe/qTdlzM0zv2rNvObAlsJKO41K5hePZOBvnbTpla5gz8qsA/iuAf9L+918AeAhAoBroURSkm1Y62rg3lpM2rAQE3P/T87nBzHl/4xybfjnTuWETlKn6OndyREWY64vuz0HnZ3ar2sLZc7t9H7fk0flzTkRDzGDpUcd1Pxs9FRd4/JL7zO9HL9axluMu7rrp20AXQsSllBaAY1LKh4UQPwEAUkpLCGHPrIRTosu2+bMUlJvWoJtVtsa9sZzkhqvYsFFrOrhpMantzdo4OddlFPMok2brqGPT6zj0y9lR+fP7mAZhmY1OjZ8oXhOB8F8Xe603vVK3kDCufdxSr+xNowNjULb8rico+KJad3lGXYIC4Jpno79uZQ5X6xZuXEyitGdreW/nB52yNWgE/U8BvB5AXQixDHdjOAgh3gygPIOyTVUul0OlUvG7GDMXhJvWoBs2W6blYLPi7hA5Tm/luDeWk9xweb+7VW0hYbgbjuhm1Bu+II1iTqPe6lcH9DsO/XI2KH+jHtOo3qRnkgKGALZqraEek6hSVK+JQHSui7025TvqOjCNDox+2WI9QdMQ5bpr1CUo3s+XGjY2Ki3YjsTlqgVbSpT2bMwnLd+vRTrRKVuDGujenfj74T5i7WuEEJ8FsALgnaoLNm1zc3O+vTcvMuE2TLZMy8HZ8zs4v2UCAM6szuO9p0dvGI5zYznJDdfhDUWu3XDE72ybloNfO7978BilYY6pTqOYR5m03vLOT69H8w06Dv1y1u/roxzTIHWQTJNpOXjkQgVNWyJhCNx7Kufr3+3nNZFmo7t+HvY6MKhTb9Dve99f7LMb9Galha2qhZO5xJGjdlGtJ+hoUa67Rr1/8X5+dcH9TN55fQpPxUysZhMwhMDbXj39x1sGmU7ZGtRAXxFCvL/9378N4PfhNtr3AdwD4CnFZQsFXmQIcCvJ7ZoNQ7j9XrNuGE4yYuRtOOJtKLJZaWG9MKdFtjcrLZzb2oMhBDYqLdy9nsF6YXAFG+Y1qJ2887Nds/BipYVX5ZM4ljEOzlO/4zBOp8soxzRIHSTT1Hmj5O28O8njEqPE747AIOg8RoBbNz56sY5a83D9PO5n7aj6vvP796YWcV3Mueb7n7pYw0alhY1KC2dW51lPEI1o1PuXzp8vpA183cl5XKq0Dv7Nxrm+BjXQDQBZ4JqdodLqiqOOX8+28/siwxsb9YbJ1nLawErWwEbVneJ+PBPXumHYmRtvJ/fuDUX8zva4grQGdZJ6q9iw3WltVQtXahYEANOOH3Sw9DoOg27CB9UloxzTqHSQdNPt79bpea9A/3ztmtbBDJ7CvMFO7h68GVrbNRtL6RgSsRiu1CxsVFt408n0VNaYHjX63Xk9+MNnXsbdN81d8/16U+JNJ9O4VHY7Uwc9wlG3zwvpQ7e6a5ZGvX/p9fNBuf/xg07ZGtRA35JS/szMSqJYPB5Hq9Wa+fv6eZHRYYQzCobJVioew32nl3DP+vhr0GelV27uWc9iu24fujnT4QZqLZfA6dUUtms2VrIG1nK9p1Z2C8oa1EnqreW0gYQhUG/aSBkCV2o2mrY8tGNr93Ho1+kyTF0y7DGN6g2Cbn+3X9fEXgY92u8j53bx9Msm8im3fglKR+AsbVZaOL9lwhACz+86uDGfwI2LSWxUW7hUaWF1YbIO4WFGvzuvB3eezPT9fmnPxmoufqiu7nf+dfq8kD50qrv8MOr9S/fPB+X+xw86ZWuYNeihkM1msbe3N/P39esiY1rOoV0bgzTCGTTDZisVjx05/XoaJp010auRtpZLYHUhjtKefdAY1+EGyuv4COtN3CT1Vioew/1nFnH2HFDcs7BZtfCmk2lU9p2Rd3Ce9myJqN4g6PR3+3VNBK6towY92q9lS+RTBsqmjRvzCY6kHsGIAdmk2xA+vZrCPevZsTqEO8/RUaPfwCv3OpuVFm654Tjq5eI1r/Udr8lis2JjvXC4PP3Ov06fFxrftGdy+ll36WCc4zloPxp6hU7ZGtRAv3tmpQi5WV9kundtBMBdGiNi0EjUsBV6r0Za581XJx1uoHQog64WU3E8cFfhYD1qZd8ZawfnYWdLcEkNHaVXHTXo0X6F9n/fkE/gvjOcBdbLWi6BM6vzB5tlvuv23EQ34d3n6N5TOeRTMWzXLWTnYgfnpJdPP19HK7WPzz6zi/fcuehOvz+3i1rTXW7zqnwSxy4fXqoQhKeF0Hg4k3O6xjme3W2CE/kElwsFQN8GupSyNMuCqFav1/0uwsx079rIXRqvNc2GhE7Z6jUSsZzGSBX6oJHxTz9fn6jxT6PxsjXJI/q8mRvevgHj7OA8zGwJ3ogFi1/1lldHFeaNQ5tOjvpoP3pFKh7De08fPk6TbEDYfR2pN+U1T/O499S1nQDe713draFsunXWf/9yFU9d3oPZkti3JQwhEItdu1ThLSfn8Ymv1NDq8bQQCi4Ve9XodM81a6M8CcHjnYNMMoZa00E2EUPZ7D+TLsp0ytagEfRQaTabfhdhZrp3bWTj/LBpNyR0ylavkajOC+RWtYULV/aPzESvRpq36VgmGUOpYY/V+KfRNJvNsR7R16vTZNiZBv06XI76/X6dQ2xc6cmveqvfppOjPtqPXJ2f1xND7sFxlH7XEVsCq9kEtqotnD23C1viUL3v/d5fXKkhn2pvLtlykDAEdvccpBIx1JsOYgD2LQem5QBwryFbleluahd0Yen4VrFXjU73XLM06pMQPAf7PzRsZJMx1FoOZ9X2oVO2ItNAX1pawvb2tt/FmAmOOgw27R5dnbLV69wvp3EwfXCj0sJjz9Vw/vLeyI3pTNJ9lFmt6SCbjCGTFIHdyT0olpaW8MJXN0d6RN8kHVCT/G73jVgmKdh5ozG/6q1UPNZz00nWG6NTNWtl0HXkSt1CwhBoOvKa/W2838stHUNl5ypMy8HlmoWm5SAZF3jdShLpRAzziRg+/kwV+VQMb70pg7Lp4GQ+MbVN7YIuTLORVNyP6nTPNUvD7AXRS+c54Br0wXTKVmQa6FHDUYf+dNh9XKVeO3a+585FXLiyj8eeq429aWC9KXEin0A24fbAepV897GcZc9/WEYZBjFiElJKtGyJWOzoR/RN0mkyye9234ix8+ZaUcjrMHptOkmjG/QZ634u+qi563cd8W7yH7lQOfIa6l0zXntsDuV9G9/yNQtYTLmNc6/MAA52d59kU7swCVvdyfvR6Rj0JISjdJ6DSZa/0OxEpoGu07QF8te0e3SDkK1UPIZTx+dw/vLe2B0Ty2kDhXnjYP1or53cgVemvGeSQunNVphGGfrZrZv41390FZV9G0lD4IG7Crj1WGrg3zlJB9SknVedNwGdI25shOmXVz/rLR1meYWhs6TXrJWNSgtGTOLhL1TQdCRyczEICNSak+eu8/Pd6/x5Gb/1ZBzPXNrFvadyB9eMlUwcp467TzHpLPNaLjFSFsJw3o4S9kGESQXhnksFHerNsNMpW5FpoJfLZb+LQBrxpux562QnqeiCkq1JK/d+v+/dtO2aFj77QgMv7rZwQz6BJzb3sF23sboQV9IYCdsoQy+PP3sFtaaDlUwCxYYFxxFHHsdJzvM0bwB4M3GYbnn1u97yc1RNt86ScfUa1S41bDy304RpSSzNG2i0YjCEwMlc4tCmfJM2dDvPn/da+5aDsungua0SyqY7y6pXHdDra8PujxGG83aUUerOKHRYdPO77vITZyOopVO2ItNAP3bsGK5evep3MUgT07zQBylbw3RMDLrg97s47JoWPvDoy9iqWGhJ4KVyC8m4ULrGNAqjDH/p1jV8+MkStusWcnMxrBeGm9I2yUV8FjcAUbyp1C2vQaq3pk23zpJJeJ/XjUrrYKdm03L/t2zaWFuIYz4RO7QpXyFt4JELlalc/zof4RQTwHwihjfesobPPnPpYJ+SUTec7HztzqdXhOm8HWWYYxSVDotuUay7onjN9INO2YpMA10IPleTXjHNC31QsuXd7Hzy2RpKezaOZ+LX7AY+7gX/YqmFyr6DZCIGYbm/e0O7ca6qMTLuCG1QLnSm5eCFq03ckEvAlsD3v2ERi6ngVNn9srRrWgePa4rSs1h1m1EQlHpLBd06S6ahc6fm3JyB6xfiSMVjuP/MIkoNG6W9Vzblu1hqTe365z3d43LNQtm08bqVOZxamcN1sdxEnQC9nl7xrttzoTtvk4hSh0WnqNVdnZ1gCUPg/jPBuhcIEp2yFZkzLKX0uwikkWneoAUhW14Ff6ncwpe291FIG9iouLuArhfmDn5u3Av+eiGB3FwMl6s2YjGBW5bn8L135pXvFjrqaG+QRhyKDRtmXOJkPokrdQu2o8+FYxj9Hrv2kXO7ePplE/nUK5tXReGmEtBremIQ6i1VdOssmYZBOzWn4rFDm/KtFxI4f3k617/ltIGEIVA2beRTBhwARsx9/0kaj8WGfc3TK/pNmY+qMHY0DSNqdVd3J9jZc7t44K5C5POvgk7ZikwDXZcpC6SHad6gBSFbXmNpad6A4wC2DcR6/MnjXvAXU3H89N3X4ZntJvIpgdWFhJaP8gjSiMNy2sAnn7p00JkQtJuvfs9SbtkS+ZSBsmnjxnwicH9XWASh3lI520WnzpJxecens0HuPQu9e6fmt96UAYCDnZ87/z3pXhP3n1k8NCumsnN14sbjctrAStbARtWd4u49vSIM520avHN/76mcltdalZ/dINRd09TdCdZ0pNb3LkGmU7Yi00DP5/O+LP4PynTaKJrWhd6vbI2ic/rj9QsGljNxXJ+99jEdk0wbrzclTq+6d4W6jlIHacQhFY/hh77pJnxloziz+mOa9VW/ZykX2sf8hnwC953RJxtRo3u9FaTZLn7onPa6UWnhRD7Rc8lI93G899S1U88ntZiK44G7Cgef9cLSIr6yUZyo8ZiKx3Df6SXcs/7KGvSonf9+9bHunw3V5dO97pq2Xp1gOt+7BJlO2YpMAz2ZTM78PXWvRGk6xs3WLDtvBk1/7PWzk0wbf+tNmZmMUo9z/LqPwzR28Vcpk5o7GBFTTUV9NehZyipyzw7R4flxTRxFkGa7+ME7PplkDLWmg2wihrLpXHOcuo/jNNefd/I+66bl4EtFG488XZ7KY906l2BFyaD6uNjeUyCbiCnbhHUSgz6706ijda+7VOjuBOP1TQ2dshWZBrofeINB/fix6UdnY6l7+uMkunMOqH/+9SSNSW8kV/fOM9NyUDZtmJYzk7LNqr5SNUWVHaLB1n3jHqTZLn7onBWVTcZQazk9R9a6j+M015/34u2dobIeiUJH3KD62IhJPL/TxF7Lfc59Jjm7/UmGOfZe5raqLSQMcVA+1tGT4fKOaIlMA31nZ2fm78kbjGgYJ1th2vSjO+druYTyjXwmbUzq3nnm3ciIWA3SsWZyIxP0+kr3c6obP66J/fS7ceeGYP0NOyuq13FUeVyX0wY+95UryuqRqDTy+tXHpuXgoS9UsNdykEm6u/XXm3Kqne79DHvsU3F3KYU3JfuRC5WDzE2jjtap7qJw0SlbkWmgJ5NJWJY10/fkDUY0DJutzp7nMG360S/nKv+WaWxApHNj1LuR+bqbsvjT50szy8a0No7yg+7nVLdRPz+uif30u3H3ZrvovhTFL8POiur8uV3Tnea+XlDzGU/FY/ju08fwwnZ17KwP+qx4nduZpDt7IKjXzaP0u656G20uzcdRNm3Mx2dX143SwK43JWwJrGYT2Kq2cOHKPtYLianU0TrVXbPgPSIXCOa1OUh0ylZkGuiZTAaNRmPm7+vHlBTdbgSDZJxjN0y2evU8e5t+7FkOEjEx02lq0zbrnE/a+aV755nX2Dy2mEU+tav8BqxXPoNG53Oq46ifX9fEXgaNFup23HQy6vVq17Tw049dcdesJ2P4wNuOK1latZRbgLVvDv3znX+HaTmHNsPy6iLv+5mkwEaldfA3BPm62U/n8ejeg2Q5bfi20WYmKWAIYKvWOnKjss5p7huVFh57robzl42p7DrvV93lx721aTk4e34H57fcz9OZ1Xm89zTrQVV0ui5GpoEeFbyhGZ/KY9e759m9uH74iR2U9208/HQZ951e8vV8BalzZ9JOAZ3Xc3mNzdxSCq9Kqv8Mq5wePuvNEHU8p5x+P9ig0cIw5FKFca5XF0tuw3Y5HUex4Y6kv37Nn9vAzkfEebvKZ5ICZdPBhSv7WJp3/5bNSguffr5+aBPSE/kEsgl33f2spnfPylHn1a+OSNNy8MiFCpq2RMIQuPdUbuB7e+W8cGUfjz1XOxhJ92ZvBG1WjGk5+LXzu7hSt3A8E59JI9m03M/C5ZoFQ7gdUbx+REdkGui1Ws3vIswEbwTHN+6xGyZb/UaISg0bz5aaEABe2m3hG29M43XH5yf9U8aiooMi6DfBfkrFYzCsvZkct2lOD+8854D+m/HNgo7T73W7JvbqXFF13MLQkT3O9Wq9kEA2GUOxYSGbdDeMU+GobHUe/5gAWo7EajaBrxb38WKliX0b2KhYuKE9ety9CWlh3kDZ7L0pXtB1n9fNSgtz7WnsXkb96Ij0yrW6kMCVujWwY+TwlGwDyZjApUoTl6sW/uCrVWyeax086nWcQQk/6q7ndvbx+Y0GEoY7g+Pu9YzSJwx0biRcrFuwHEAI4HgmHrrM60Sn62JkGui6rClQTccbwaAY99gNk61Bvd6OlKjsS9iOxCe+UsOrC3O+3CxOu3MnDDfBfptVvTWtUZl+j9wrzBu4VG5hs9KK5GOTdJx+H4RroqrjFoaO7HGuV4upOD7wtuMHo5iTTm/3GmL7loO5eOxgfexR2eo8/lvVFpKGwJW6hWwqhkQ9hiUDaNoS335LFmu5V9Yte9PZpzFNWled5zWTFHj0Yh21Zu9raOcsBNXHo7tc+5bT8wkjnVOyHSndXCzEYTvA6kIC8wmBy1Ub+xZwuWrhnvXRrwmzrrtMy8H//IsaynsO4gaQm1N/X71ZaWGrauFku5PqG16VwfGMwTXoiul0XYxMA31xcRHb29t+F0M5HW8Eg2LcYzdstnr1eq/lEnjtsRSeumyikI3DBny7WZx2504YboL9Nst6axqjMr0euZdJCjx+yV3T9ejFemRvMHSbfh+Ua6KK4xaGjuyxr1ep+FSmtXsNsSc391A2HSzOG3h9e33sysrgbHUe/0L6lXXJmaTAbz1dOZhG7HVWv+fORWxWWnj0Yh0ff6Ya6g7fzvO6bzn4+DPVvs8T90ZYNyotnMgnDtbsq9r8b5jzUGzY2K7ZMISA4wAV08HrjhmoNR0kDYGdPRuxGGAYgJTjlWXWdVexYcORwIl8HDt7Nm5ZTmItp2b2CeCe209drGGj4q7fP7M6j9OrqVDmXTc6XRcj00CPEt1uBINkVseucxrw+17v/2ZxXnmmOTKh200wp9ur1+uRe/esZ7Fdt3F9No7LVSuSo+jM3nBmdZzC0pHt57Xea4hBCjjSbWx5jcgbjvjdXsffmy793tOvPDque53ylbo7oljaC+/u7cAr59W0nL7XUK8zNJOMuRvmJWIom07f4zLpZ8v7fQCoNft3vGeSAvMJAcuRgJDIpdy9AryOmFLDxiefraG0Z+N4Jq60oTstnRvzvWoxifsn2JhvmPNQbNioNyXedDKNS2V3On1Q6ygaX2Qa6Pv7+34XgUJq1Gz1mvp9X8eO7h85t4v7zyyONP1wksdwjDMVfZiLjE43wUGdbh+0eqvXOV/LJbCSMfDE5h6A6I2i65o93bI16+PEjuzJLKcNrGQNvFRpIiYOr4/d398/8hrR7/h7j9brzMK9p3L4xLNVvLDTxKVKC69fnfe9w3cWUnH3b/eWJADARqV18KjWfMp91Fw22W4E91mTP+lnq/P3M0mBbLJ3p4G3kZwjgVuWk3j7a7JYXUgc6vRfTMXxvtcnJrovmHXd1eu6Nk6Hx7Dn4eDc7tlYzQWjEyMsdLouRqaBXqlU/C4ChdQw2eqszHtN/QbcNXcv1yzs7NmwHYm/86bloSr+y7UmfvnzO7hUsRCLjf4YDq88w64T3jWtax6DM6iRrsNN8DAb7+goDPVWKh47GEWPwuhXt861hDr97bpli0tigiUVj+G+00u4Zz17zRr0K6XdiRqE3Vl4ZruJp1/eR8IQaNoS33Cju5Gq11jVuQ6fhNfgLZsO/mxTQEAcWo/uNRqPWoM+6Wer+/ffcWu25/WzeyO53Fwci6k4FlPu39J5vib5bPtRd3WWedwOj2HvtXQa3Igana6LSs+6EGJRCPExIcQzQogvCSHe0vV9IYT4eSHEs0KIp4QQr1dVlpWVFVUvTRF3VLa8yvzhp8t48KldZJLimmlry2kDMQFslC3stx+t8eUrJjYqLZiW0/d1v3RlDz/9v7dx7rJ5sOa3s9E/DO/Zso9famCj6q4vG/SeHzm3iy+8bOJy1TpocOiu18Y73vno97fOmncDY7Y339motLBYWPa7WCPpzrp3bL1R9EvlFjJJEYnRL+DwWsLHLzWQTfq/1MOj2zXRjyUxnZ85Gl0qHsN6YQ6vOz6P9Y7NTXNLxw4adN6061F0ZyGfcpd9xYRAwnD/u1c9EzadDePtmo3L1RYSMeBSxW3cuY3G/rORvHz3uucYRa+lS73et99nuN91YVx+1l3eo8+8Kfqj5Puoe63O+uioc0tq6HRdVD2C/kEAn5BSvlMIkQSQ7vr+2wHc0v7/NwH4pfb/EoVGd+9zvSl79o6+/TVZXNg2UW8BlX0b/+nPdrC+nOw5Su1d8C4WmyjWLaQTApV9ib2WHPkxHKOMcBYbNlq2RD5loGzauDGf0KbBMciwG+/4pXsKoTdScm9qEdfFrt0pV1eDRmoEBNz/m/0eC37hWsLhzXrUSNelB2GQTkzWIOzOAuDODPM2j5uLxyIx26KzwbuUjuFL2/t4+uV9xGLAJ5+t4X2vd6c+98pxd74n2V9m2M9mv58Ly+yY7o35AIz0qL9B91qsj6ibsga6ECIP4C8D+D4AkFI2ATS7fuwdAM5KKSWAz7VH3FellFvTLo/jhLOHlfx3VLZ69Sr3muL16qU53HZ8Hk9dNpGdj6HR6r/xi3fBe3Uhia/uNGEIgbWFGP721xVw67HRd/tcyyWwuhBHac8eeEPVuVnKDfkE7ptgs5RZG2bjHb90Tn37ytV9zMUF1gtzqDcdFJ3g3Mz0G0EpNmzUmg5uWkwG+gZtVDqvJdTxmjjLJTFhaTToyBCYuLOlOwve5nFenaJbHa5Cd8fy1bqNlgUYMRyavdYrx70GBrwldp0b741Sls7z0WsNdr912dOeHeNX3eUd05VMHI2mg2+4IY3Ta/MjHct+91q96qPlNDjNfcZ0ui6qHEF/NYBtAP9VCPG1AJ4A8PellPWOnzkB4KWOf19qf23qDfRisTjtlzwSd+6NhqOyNUrvs7eje61pY6MqUdl3cCxzbQ+td8Ermw6+8aY0Xn/9PG49Pjf2c23H6SH31r2l4r2fhapr9nVc39U59c17dux8rYX9v9jAe+5c9Lt4Q+t3bHXb0X9WdMyax49r4jBm9WznqGZyForF4tQ7W7pfT9fP1bR1dixfvxDH5ZoFCRyaKdcrx16+t6otJAwBIyanNkLba7QX6D2S7/0N0zxfftVdnddpAPjClX2cXpsf6TWOukaqOF80PJ2ui0KO+yDCo15YiDcC+ByAr5dSPi6E+CCAipTyn3X8zO8B+FdSyj9u//tRAD8mpfyzrtd6AMADALC2tvaGJ598EgBQq9VgWRYWFxcBuLvvVSqVgzUEjuOgWCxicXERCwsLME0TpVIJqVQK6bQ7275arcJxHOTzeQCAaZqo1Wo4duwYAMC2bZRKJSwtLSEedxs/xWIR6XQa8/PzB68hpUQulzt4jWK5ii0rA9OSkNLGTXN7WDt+DIZhHLxGJpNBKuU+W6RSqUAIgYWFBQDA3t4eGo0GlpfdNaiWZWFnZweFQuHgNa5evYpsNnvwGuVyGbFY7OA1Go0GTNNEoVAAALRaLezu7mJ5eRmxmPtB397eRi6Xw9ycu1HF7u4u4vE4stksAKBer6PZbGJpaQkA0Gw2US6XcezYMQghIKXE1atXkc/nkUwmAQA7OztIJpPIZDIjn6dEwh1hUnme5jNZNFoSwt5Hy9w7OMbea3Qe42HOUyKROHjPaZyncmMfP/epi/jm204glTBwZjWF2m7pmvPkCAPGXBrphEDT3EOz2UQ2l0ejJRGHhUa1ouw8IWbgzy+b+IOnN/Ga6xfwXbevIGHEUK1Wsde08KI5B9OSqNT3cGfBwcnrj0/0earX6xOfJ90/Tzt7Nv78soknnt3EzWvLuOvGHG5ayeLK5ctaf556naeW7aBiWmhUdg7qvZbt4JkXr+BVx3PIZdKBPU9Brfe6z9OJEydgmqZWn6fLV0vYtLJo2u4yn8986RLeeut1uPuWJSSM2NTPU8t2cOlqBem4g+uWC1qepyDWe47joNFoROrzpPI8tWwHF154GTes5AHDPT7WXhXzyTgWFhbQsh1slWpIoInVlWMH5+n5y1exZS1AxAQMAfzuky/gW06tYm4uiTuuS0Ga1bE+T04yi6/sOsgmY/hfT2/i3V97DEu5LL7wsokrO1U8V9zD3/r6G5FPGUrO09zcHC5duuTLefrS5i7KsQXk5wxcqe7j+ngDd9x03VQ+T/u2xLktE7/75At4883Hsbwwj0wiht9/ahPvvrOA16wt8fM0hc/ToPO0srIC0zRndh+xurr6hJTyjehBZQP9egCfk1Le1P73NwL4cSnlX+n4mf8E4NNSyo+2//1lAG8dNMX9tttukw899NDI5VlZWZnpw+c3Ki08/HT5YLrKu2/P44RG0xujSsU6n2lna9zszHIN06Aydn/vHbcuzGTHdJ1H7YfR6/zdsHrdTOutaeBaumCY9TVxGF7dkYoLPLm5hzeszWPPkrx+BoyO2QqqSerTzmvxVrWFpCFgS0xcL/d6kgvQfwR92vzMl8rr20alhY9+YRcpQ2C7YWEhEcPFXXet+6hP56HxzDpbd9xxR98GurIp7lLKy0KIl4QQr5VSfhnA3QAudP3Y7wL4ISHEb8LdHK6sYv25Hzh9Tk9BWHc4bnZm+bcNKmOvHdM7Hw2j4gIThkahztOhRxGEzxjpaZRnOxNFwST1aee1uJA2JtoozuM9+q1pSyQMgXtP5Q5eKwzXr6OovE5nkgIv7TZxuWojFgO+9voUVrNx3LiY1OoRnTQbqndx/3sAfqO9g/tFAO8TQvwAAEgpPwTg9wF8B4BnATQAvE9VQUqlkqqX7iksN9tho6LjZNrZGjc7y2kD2WQMz+82R97JfZpl9GPH9LA0CrvXWc663poGdk4Gg47Z6rXHBa+fwaNjtoJqkvq013V6MTVZebqfdV5qP6liGs83H5bf+Rpmw7xxuMcxjv32RoBNW2IxZRy5eS9Nj9/Z6qS0gS6lPA+ge+j+Qx3flwD+rsoyeFKpFOr1+tE/OM33nOGOtJ2CPtVXJRUdJyqyNWx2Os81AEhIuP+nZulKp0FlnPWO6ePexHQfv832o1PWNHn+qB/11qTYORkMumYrFY9x9+KA0zVbQeTVp961qZ9+932HP0+j797ezY8Zct10ylev6f7jHoPltHFoI8DVhQTedfvksx5oeDplS/UIujbS6bQ2B12lMEz1VW3aHSdHZUtVh0n3uX7rTRnUmxI3LenzKKtZNdbGeZ/uZ4/bDvCFl00A+qz3Cmq95VfnJA1P12zxGhZ8umYryD79fL3vZ2LQZ2bS56F337/4MUOumw75Mi0Hm5UWPv5MFReumMinXnlc2qiDK95z64sNG+++PY971t1NxryBgklnPdDwdMiWJzIN9KgIy1TfsFB5s9l9roHJng2rqiNhVo21UaeddR6/53ea2LMcGEIAAD87isxidg9nEAUbr2FEhx31mRj0/c7vbVVbOHtu95qN4rpnknn/bVpOz9HhWc+Q0413X7dVsfBSpYmFOQNl08aN+QQySYGNSmvg9adXp8kjFyrslKRDItNAr1arfhdhJrj+c3Kj3uB3Z6vz91XebHaf67VcYuzR6rCNWnl/T6lhI2EI3H9mEYup+KFz03n8VrIGbMdAac8dQVe9hv+osntlDFO9NYuMhS3HKumaLV7Dgk/XbAXVUZ+JYTdtTRgCTUdiNZs4uB9ZTuPQTDIBgVrTOdgDwhsdth2JC1f2cer4nLLnmw/L73x593Un8wlsVFtYTMXwqsUE3n1H/4b2oPvCi6UWOyU14Xe2OkWmge44jt9FmAmu/5zMODf4ndnq1TOq6maz37kep2IP26hVsWGj1LBxuWahbNo4e24X951ZvObi2Xn8AP/XoHfn531vTELMvBRqzCJjYcuxSrpeE3kNCz5dsxVUR30mht20NZMUeORC5dD9SPdMMgjgpsUknt9pwpYS+ZSBnT0LpuXgsedqOH9579B9kR/LmfzO18HTJvZsnF5N4Z71LNZyib7Xn6PuC9cLCZy/zE5JHfidrU6RaaDn8/nIPJeT6z/7G2Xa87A3+J3Z6v79elMqvdmc1rkO26jVctpAwhAomzbyKQNNR/bppU4cOn7rhTkfS31tfuYyOTSr+uwqOolZZEy3HOs83V7nayKvYcGmc7aC6qjPxDCbtgLXPgptOe0+3uv5nSaW0jEkYq/MKhMQSCdsFOYNxGPi0Mh7r/eaVX3nd776dYgsp3svMzzqvhAA3npTBoA+G9RGld/Z6hSZBjrRMKPjk97g9/r9INxsjrvJmq6Nj1Q8hvvPLB5aPxeEXuru/KQTAk2/CzUlsxgZ1Wn0ldPtiUg3ve5HBARsKbFvAffemYXtiEONy14j792iVt/1Oo79G+797yu958p3HjciIEINdNM0/S4C+WyY0fGxGqpd2QpqT+goHQlBuBgvpuJ44K7CoWcqj7qD7ax1P1LH3N/3uUTTNYvOKl06xLz6pjBv4FK5hc1Ky/cZGp14TQw2nTtImS1/9ctGr6+79ZSNyr6Dl8otPPwF4IG7Ctcsmet1X+TtZO6Z1fIiXfLV63gO03AHXln3HxNAq2tfAB2uX1GlS7aACDXQa7Wa30Ugnw07Oj7qDb6XrV6N1rAKylpfbwrfoM6EXdPdpGW9kMBiSo8q0XukzmdebOC7b89rdwNOR1tOG8gkBR6/1AAAPHqxrlWnnc7XRJ0bnzrQvYNU52yFXb9s9Pt6r+VgnWunOz+H3U9JOXt+B+e33AbNHdelkE1OZ4baUZ9/HfLV735v0D4B3vHbqLyy3O5SuYmWLfHVnX1cn/Vvc1py6ZAtjx53ozNw7NgxbdYVkD9UTX/1shWURus06LbWd5BB52XXtPDTj11Brekgm4zhA2877nsjvbO8b7xlDcVGObQ5CrNUPIZ71rPYrts4mUugtGdrVSfoek3UvfGpA92vNbpmKwr6ZaPf13stB/MesTboc1hs2Niu2QePJi3t2fjeO/KYi8cmur8a5vOvQ766j+dmpTXwWfWdvPunrWoLm9UWTEvCAbCSjkyTTFs6ZMujT40eMqblYKPSgmnpsyMgeb2YakaxejVag5CDccrodXa8+/a8VjfQ3X+LaTnYt5y+PfsXSy3Umg6W03HUmg4ullr9XnpmOnOUigutOz9osLVcAqsLcZT2bO07snTReeNbNt2RNDosSB2kNFv9sjEoM95ysHtflztYonfU53A5bbiPJ5UStpQ4noljLZeY+P5Kx89/r3uk7uMJYOhye/dPb1vPYjkTR9KIIWXEDjpxiYAIjaDb9uxCzxGAaPGyNWidka45mCSruqz19fR6lIm3+UomKfCOWxeumWK8Xkggm4yh2LCQTbqPO/FbZ45edzyJyq4+x3gUnKas16Z13WZ5TRwFG59H0zlXwOyyFdY6ZpK/q/uxat6zzofJTOcIcOejwDJJgX3LgWk5h9Za33d6CfesT/fRpMN8/nW4n+8+zqWGjWzSHRVPGAKZ5LUPSO0+r6eOz+HPNuO4XLUAAMcznOLuN52ui5FpoJdKs3tUke7Tz2i6OrPVb52RrjkIU1a7/5bux6rNtS+qnRZTcXzgbce1W4Pu5aiyu+N3UcbCTsrDN2Mncv53/HSb5TVxFLo3PnWhWwdpp1lkK6x1zDT+rlQ8hkzSOTRt3Xud7sx49dS+5fR8FNhmpYVHL9bx8Weq15QnFY8dbHzpjTJP+pnt3ii1F13u57v3uJmLA0Z707dHLlQOHat+51VFJweNT6frYmSSsLS0NLP34ghAtPTLVhByEIQyDqtzXVdMAGu54f62xVQcr1+b96VxftTyglnWW9Ok4zTFWfJuxh5+uowHn9rVcomLztlSuRSJ1JtFtsJax0zj7zItBx85t4svvGzictXqO3W6s5761MXaNUvBUvEY5uIx1JqDy6Oivvv0826nQK/Xm2XdlUkKGALYqrV63kd0nq+dhoOG5e7I3n2s+p1Xr5NjvTDH+k4DOl0X9RgumoF4fHZ/KkcAoqVftoKQgyCUcVipuDstzxs1+P2/qOHeUzmUNL1x825qSg0bCUPg/jOL13QSzLLemqYwdfyMIwgzU4KaLdLfKNkadzp3WOuYafxdxYaNli2RTxkomzZuzCd6vk53PfWOW7MAgP3249PWcomhyjPt+u6o15tV3eU9o7xpSyQMgXtP5a7JaOfAwHxCYD7R+1j126MoDPdeYaLTdVGfkoSMztPPaHaCkIMglHFY9aaELXHwTNFSwx56Z9VZKzZslBo2LtcslE0bZ8/tHnr+bJCFqeNnHGFtPBBN06R7oISxjpnG37WcNlBo1zk35BO470zv49pdTxXSBh5+unzw6LQzq/N47+nFI8sz7fpOl/rT6yhYXUgcTPtfTB3+me6BASOGnvvdBHGPIvJXZBroxWLR7yLMBHvkZm9Qtng+ZmvQzqpb1RYuXNnHqeP9p5LN8nwNev6sJ8j1Vpg6fsbh7Yas67rCIGeL9DZstiYdeQ1jHTONa9AojfzOeqr70WmvnJPEkcd5mvXdUeWfVd01bEdB98BAr/1ugODtURRFOl0XI9NAT6fTWj2AXoWwbpqiu37Z4vmYvV691N70s41KC489V8P5y3s9z8Wsz1e/5892ikK9FTam5eDs+R1s12ysZA3cd1qfNW2dmC1SZdhs6TJSqotpXoOO6rzo9V7eo9M2qu6mZcPsKt7rdYY1bmfErOquYTs6xskxs68nna6LkWmgz8/Pa3PQVQnCusegGeYC0i9bPB/+6L4xec+di7hwZR+PPVc76OHuPhem5eDClX2U9uy+P6OC9/zZfhmLQr0VNpuVFs5vmTCEwEa1hXvWWwc7HeuE2XJxltP0DZutsE5TH9cs7xl6v1di5F3Fxy3zoM6IozoqZll3DTNLY5wcM/t60um6GJkGehSwR256zPYmKY9erKPWHK83m+dDD97zRs9f3ut5Ljo3a9toP9ql12i2yvKdyMWm9pgaYqOLhsNZTv7i5/SwWd4z9HuvzkenTfI6R9mstLBVtXAylzjYZd67Dnqd5SvpOC6VW9is6NnJ2WlQQ75fzsO4RIOmJzIN9Gq16ncRlGOP3HR4N21bFQsb1RbedDJ96ALSrV+2eD70MehcdG4EAwBve3V24Dp1Ffo1FKJQb02b342utVwCZ1bncaVu4XgmjjUNn4EOROOaeBTOclJjmGz5/TnV0SzvGab1XuO8jmk5+NTFGjYq7tKzM6vzB7uae53lL5Wb+GqxCSGARy/WD43mB6nuYs6DRadsRaaBLqX0uwgzwR65yXk3bSfzCWxUW7hUaWF1of9arEHZ4vnQR79z0TkCUEgbM2+cA/0bClGpt6bJz0aXN1LyrttzqDel1h1zzBZnOakyTLb6jaBG3aT3DKPMSpjW/cmor1Ns2Kg3Jd50Mo1L5RbuXs8gFY8dbJy2upBAo+WgaQO3LCevyUeQ6i7velSYNwIzGyDKdMpWZBrouVwO29vbfheDAsC7aSvt2Ti9msI969mBa7GCnK1ZTDH0YxrjqDcpfs906NdQCHK2/OJXoytoIyXMlh6f/TA6Klv9RlBpMkGpgzrvsVZzr8wy6qy7r1+IQ0CgtGdfU4/Psu6a9P5lOW0gkxR4/FIDwLWzAUgvOl0XI9NAJxpWVG7aZnEx9+OGYZz31GGmg+6P5QoKvz6/nC4dTDp89qOm3wgqTSYosxL61dG9nsJSbNjIJEX7a9Bi6dkwv9f5t92znsV23db+vJBeItNAN03T7yJQgIxy0xbUbBUbNkp7NrKJmLKLhh+NlqA1lAY9piao2fKbH42uoE2XZraCS/fN1Y7KVr8R1KmWQfNjNG3TnpWg+vj1q6O7v76cxjXXx1nVXePcS/S6nq/lElhdiPecDUB60em6GJkGer1e97sIFFL9sqX7DUImKbBRbqHWdJBNxpBJiqm/x1GNFm+3fGB6I8dBaygNuglgvRUcQZt5w2wFzzSeLjILR2Vrmp+VXtfZXdPC2XO7aDoShXlDy2M0bd6shDeszeO5UhPfcOP82H+zTlPlew0kpJOzqbvGuZfo9/i6IF0bokyn62JkGujLy8varCugcOmVLZ0ucP3UmxIncglkkjHUmw7qTYnF1HTfY9CNmGk5OHt+B+e33B7LM6vzeO/pyY9T0BpKg24CWG8FS5CmSzNbwTLq00X8NEy2pvFZ6Tf76CPndvH0yybyqVemSet2jKbNW+v8xOYeAOCPX9zDqwvjbXiq0yy0XgMJs6q7xrmXGPT4urBnMAx0ui5GpoFONCudz/FczSZ8v8D1k0kKJA2BestBIa3uud/9LkzFho3tmg1DuCP30zpOus9c6Ba0DgWisAlCneE1mq5fiOOF3SZe3G3iRD6h/QwhlXo1JAGgZUvkUwbKpo0bI3KMprnWWadZaL0GEmZp1IY1r+c0LZFpoNu27XcRKKQ6s9X5HM+N9tTtwry6xu+4TMvBIxcqaNoSCUPg3lO5mV9IltMGVrIGNqotOFIinZh8mn0QZi700u8mgPVWMAShgdeN2XIFpc7oHCGNxYDsnOFLvT2MWWWrX0Oy0P7fG/IJ3HdGz/OpwihrnQfVWbNsZB5Vdy6nDRTShvuosvZAgu51l3c9Ny0HG5VWoK4LUadTtiLTQC+VSn4XQbkg3iSGQWe2vB791QV305u3vTrry3O1j9JZzit1S8n09qOk4jHcd3oJ33jjPj7xlRpsKfHIhcpEN8g6Tc2bhijUW0HX2SmXMAS++44cbEdoXw8zW66g1Bm9Rkj9qLeHMats9dv1+95TOdSbUvvP4LQN27AeZo3+LKZkd9ed959ZxGLqcLOk198UhLrLtBz82vldXKlbOJ6JT2X5HqmnU7Yik5ZCoeB3EZTyKrqHny7jwad2YVqO30WKjM5sdfboF9KGlo1zYPZT2Lye5O5cpuIx5FJxQAisZhMom87BNMVx6DQ1rx/vWOyaVs9j0ins9VYYFBs2Sg0bl2sWnrq8h3/+6W189Au72tfDzJYrCHUGgIMsHc/ovxv0LLPlNiTdDnHvHuiRC5WDR3Pp/BnsZFoOLpb2cbG0P1GZvePR777DtBx85NwuvvCyictV62AqvB86686nXzZx9ty1dWavgacg1F2blRbObe3hctXCua29g81wSW86ZSsyI+iGoeeFbFqCMgoQRp3ZCsr6o1lPYRs0hXSaN8i6H//uJRAn8omBuwyHvd4Kg+W0gYQhUDZtZJIG6k0H2UTsoLNJ13qY2XLpXmcAh+vQTFLgHbcuTO2pFyr4ka3Oe6Ctagtnz+3CltB62YJH1YapvRQbtjZr9DvrznzKQNORh+rMfvcOrLtIFZ2ypW+NRSMJyihAFBzVg62LWZWz88ap1wi5d4P87tvzU7mR0vn4e8cik4yh1nSQMgS2KhZ71wMsFY/h/jOLuOO6FE7k4sjNxVBrOayHA0TnOgM4XIfWmxJz8Zi2ZfVL5z1QwhBoOrLvNUc3nRumGkIc2vBu2rw13ddn47j9upSva/Q7687rF9y6c99yDkbRj7p30FkhbeDmQhIrWQOnV1NYa8/yIBpWZEbQi8Wi30VQKgijAGEV9mxNapjOo6g8gsQ7FqWGjXRC4ItX9iEE8OjFes8RMWYrGBZTcTxwVwHFho1MUgRi/Suz9Qrd928JWgf8LLPVee68e6BMUuCRC5XAHK/ODVMBdxmDyqeq6HSv6NWdm5UWHr1Yx8efqR6MlvfLve51l7cJryOB/JyBd9+e9/0403B0ylZkGuiZTAbVatXvYigVlUbOrAx70xaFbE1i1BuCYY677jfU/XQei8q+hUcuVAc+EofZCo7O+lfHjbu6MVuuIOzirluj6iizylavc+etRw/S8fI2TL1n3W2gq16+kIrHsJxG+/jA9+Pjvf+VutV1PUz0PI+zzNc4GerchHer2sLFUgunjnPWSxDodF2MTAM9lUppc9BJf6PctPXKVlAbkKoM03lkWs5BL3qt2f+4B+GGehDv5mjfco7c8In1FqnCbLmCsn9LkDrgZ5WtQedOt0boUVLxGNYLczN5L52uod51/5PP1nCp3MLzu028fnX+4HrYK/ezyNckx8gb+d+qtrBRaeGx52o4f3kvcPcqUaTTdTEyDXSiUUxy06bTxS8ovGO2VbGwUW3hTSfTfUeVg3JD3U/nI25yczHtN3wiCrOgTR+nV3Seu0xSHKxfTsVjvA4PoMs1tPO6/1Kl6Z4308Fey/+d9yc5Rt6MlwtX9vHYczWsZhOBvFchf0UmKZVKxe8iUICMctPWna0gb2ziF++Yncy70xMvVVp9j3uQb6i7H3FT2XcGbvjEeotUYbZc096kkmaXLe/cvePWBQgIfPyZ6sHjDXkd7k+Xa2jndd92gLLpYDkdh9P+Xj+zyNekxygVj+HU8TkU5g3fjzMNT6frYmRG0IUQfheBAsK7uN97KjfUZk/d2dLl4hckB5un7dk4vZrCPevZvqPKQVuP2WnUR9yw3hrfLJeZBHFJC7P1iiBNHw+CWWYrFY9hLu4+FcN7xNqFK/tYLyR4He5Dl2to53X/zFoK+y0JG0Bh3vD9ujiNY6TLcabh6XRdjEwDfWFhAaZp+l0M0tw40+K6s8VKeXSjHrOg3lB7j7gBgBvyiSMfccN6azyznN4a1Km0zNa1gtjRoqNZZyuTFDAEcKnSxOWq1V7zawzdyR5FOlxDu6/7AIb6/M0qX9M4RjocZxqeTtfFyDTQiYYx6drzzosLK+XRROGYsfNmNma5xlKX9Zw0Ga+jpdSwkTAE7j+ziMUUb5F05z3SqmlL2A6wupA4WPNbb8qDXd1JT93X/X51Z+f9FVEURObqs7e353cRKADGmZ6+t7cX2FE0XXRffIP+mDXTcvBcaR9l08Gtx+cO3eiP0hHBems8s1xmEtQlLczWYcWGjVLDxuWahbJp///bu/cox+6DPuDfn3Sl0UgaaUbzsGd2HK8nCTFrL3idhwNuwLF9AqQppoaa5LSxgbaG8CikUB7tAQ6Uc8qjpxTKKYFTQnEOTmzAaXIgDcQJJqSHODjZje0sJnHGjj2P9c6MRtLoNbqPX/+QrlajlWY0I/10f/fe7+d4z2olWfvbuV/97v09Lx46X8CDb8xpV7/oXvcB481W9y2t4lHhu+8i4I/j6pXu66sfmkp7XSQKKJ3Oi6FpoFerVa+LQD5wkhHOarXKUbQhdJ58U3EBAeHr26zVLQfv/0Ief/tiFY4Erp0y8Et3LpxoNI711smMc6aCX2dFMFsHzSajiEUFinUb2UQUDUdqV4/rXve5xpmtzg6yXNKf09r9cly90n199fJ2Gdek+POh0dPpvBiahM/OznpdBKXqloP1kom65f3tKfyuOcI5+G2vZmdnfTuK5oXurHaefLfKNi5XrEN33tV9d96dqo2NogVHArGIQKnuYDVvnuizgl5vqXTc77Ff/q5RYbYOShgRPHBuGmevSeDaKePIjaq8oHvd5xpntrp34Z9OGL75Lrrnwo2S6Yvj6pXO+4pHBPDqU3NeF4kCSqfzYmhG0IOMva/e8+so2jjVLQcbJROfXK0cGCHv7NyYT0chcPgURdWdIcNONZxNRrGUNfDV3QZMR2I2FcVKjusgiXRWtxxUGhL3n5vWdgSWHcG9+XH/ku6ZY+k4j2s/CSOCe89k8ND5AhqOxJcu7+OaiKPd95NolELTQLcsy+siKMPp1d5ys+XHi4RxcS9G1oomXi6ZePNyEvmqjYuX93FmYaLduZGKC+Rbowde3GZtFJ1dCSOCH7g1h7eeTvVcg34cQa63yFvM1hV+6eT2S0ewV9ny0zruzuu2zT0T/+T6FBZS0b7nvbCrNCRsCcwnDWwU9mEbJlZyE8r+Pj9liUZHp/NiaBrou7u7XhdBGfaqeyvI2RoVdwOmQt1Gqebg716uIBWPtm6HU2uPpHdfJPejqjNkVJ1dCSOCr1+YHLo8zBapwmxd4adObj90BHuRLb90srg6p22vl0x85qUKcpPRQ897YTabjCIVF3hyrYon176Gc4uTyjoz/JYlGh2dzouhSVwul/O6CMp0r8FiRTJeQc7WqLgbMO3tOziVNTCfMjA3GcViOtZec6fD+krdOruYLVKF2bpCt++933mRLR3OH8fhXrfduZLGqWzswLmQrpYwIrh7JY1TmRj+/d2vQbmh7mfltyzR6Oh0XgzNCHo0GuwTrh961YMq6NkaBXcDJncNWWYiAtsBXiw0sJAy2hfE7kVyKi6wbzmoW+NdZ6bbFFJmS39+nQrJbF3R/b0HgPWS6btjqgsvsuXHTpaEEcGZhQlcuFTzVbm9spSJYXHKgC2F0p+VH7NEo6HTeTE0DXQi8tZ0wsCDb8y115o/+mwRkICEBHDlItndSO4jz+15Mr2MnV00KE6FDA73e89j6k+Hda7q2onmlsuPt4bzgnuMMzMJXB9X973UraOewik0DfTt7W2vi0ABxWwd3+aeia2KjeVsDPma3V7zmTAimDAiKDf8sR5UNWZLb35au9yN2epto2Ric8/CcuZg3USD8ypbvTpXde1w0bVcuksYEZjlXeU/K3bUh5NO58XQpC+dTntdBPKhuuVgNb+P1fx+33vMM1uDcS9IPvh0Ae/7XB5rRRNPrlWRjh+cQsbpZVcwW3rzc1aZravVLQePr5axXupdN9FgdMrWcdYTu/cl73euHyW3Iyg3GeU652PSKV8ULDplKzQj6IlEAnt7e14Xg3ykbjl46MIuLmzWAQDnFifx7luu7uVmtgbjXiil4hFUTYlvvDaBYt3BXSupAz9THaaXjXpK5Ek/j9nS3x2nUwD63xZQV8zW1XaqNioNiduWk1grmlfVTV7RdYp2Pzpla9BOtHGOaHd2BK2XTJxbnGRH0DHolC8KFp2yFZoGOtFx7VRtbJVtRIUAAN9NYdWNe6GUr9pIxyOo2xKLGQNLmdhV7/VyetmoL9Q4lTGYeh1X8rd2HVWz+9ZN48b6YziDdviOc7mKrh1BRKQPpQ10IcSLAPYA2AAsKeUbul6/A8BHALzQeuoxKeUvqyhLsVhU8bEUYLPJKObTUazvmQBwYLfxTszWYDovlFJxoe2mOKO+UBvm85gtffl5/TnAbPWiw+ydbn5cE69TtgadfTDO5SqpuEBUAFtVS5uOID/RKV8ULDplaxwj6G+VUh626v5vpZTvUF2ISETvExrpJ2FEcP8tM7h7pdlA7zeFldkaXOfI+HTC48L0MeoLtWE+j9k6OdXTgv28/hxgtvrRaXModyr0y8UGXtxt4NYlf0yF1iVbx5l9MK7Ombrl4LGLJTRsiVhU4N4zGS06gvxEVb78tpSERk+XugsI0RT3qakp1Ot1r4tBPpMwIljJTRz6HmYrWEZ9oTbM5zFbJzOOacE6jrYeB7Olv52qjVLdQTIWxW7NRt1Uv3nZKOiSrePOclHROdPd6OueEVFpSG07q3WlIl9cSkKAPnUXoL6BLgH8lRBCAvg9KeXv93jPNwkhvghgA8BPSSm/1P0GIcSDAB4EgKWlJczPzwMAyuUyLMvC9PQ0AGB/fx+lUqn9uuM42NnZwfT0NJLJJObn55HP55FIJJBMJgEAe3t7cBwH2WwWAFCv11EulzE3NwcAsG0b+XweMzMzMIzmj2tnZwfJZBKTk5Ptz5BSIpPJtD+jUqlgdnb2wGfkcjlEo9H2Z6RSKSQSzZq5VCpBCIGpqSkAQK1WQ7VabX+GZVnY3d098Bnb29tIp9PtzygWi4hEIu3PqFarqNfryOVyAADTNFEoFDA7O9vuJdra2kImk8HERLMRWigUYBhGeyfDSqWCRqOBmZkZAECj0UCxWMTc3ByEEJBSYnt7G9lsFvF4HACwu7uLeDyOVCp17OMUizWneul+nBLJFKqmBKw6hBDtfwuP0+iO02QqjaopIex9mPXa2L9PmRMep8n0FGwRQzImkC8UULUiWF7I4Lpo5NjHKZlMwjAMrY+TjvXe1nYZt9+4jHQ8gvVCHTvVGr7hhvmRf5+umZ3BdYv++D51Hyf3nMjzk77Had7Zwz2vvx6vlC1Yto2nvnoJycwMZlNxrY9TJBLB5OSk58fJwjZefzqHa6bTiEcFEqIOGRFYmJ0Z6XHqV+85EPjipTo+9o9rOPeqGdz9uhzE/j6MWA3bjQi++/XLuGkxAauxz+/TgN8n03YgYgnULQeL87NDH6ep7Az2HYGoI7FvF3H7a+aRnEwglU3AsKpafJ/8eJxUfJ/GcX5yz4vjOk6HEUe9YRhCiFNSynUhxAKATwD4MSnlpztezwBwpJRlIcTbAfyWlPK1h33mTTfdJB955JFjlyWVSqFSqRz7/yPq1t3T+oPffApmveZ1sQLFr73ZneVOxQUEBMqNk/8bWG+djF/zM07Mlj8U6hYeOl9Aw5HITUZ9kWWdslW3HGyUTHxytTJUXXwS6yUTjz5bbI/gf+vpFP7mxQpyk1GsFU286xuyR87Qoyvcen0xl8FmvjTSDVxTcQHbAZ555fC79lCwjbvuOnv27Oe792dzKU2elHK99ftlAB8G8Kau10tSynLr8ccAxIQQcyrKosuUBfK/7vuqbuxWvS5S4Bzn3rU66Sz3VtnG5Yo11L+B9dbJuNPP77s564sGjReYLX+YThh48I05vOvstG+yrFO2EkYEE0YE5cb4zyfd+1Ss5GJIxyNYK5lYSDc3hxvnvdf9zj2/7tf3R3IcO+9FX6o7eFU2hsW0gduWkyg3/HPdQaOjU92lbIq7ECIFICKl3Gs9fhuAX+56z7UAXpFSSiHEm9DsMNhRUZ5cLoetrS0VH00h033Sfe2pORTySmIbWn7dgKuz3PPpKATEgX/DcTehYb11cjpt9qUjZss//JZl3bLl1fmke58KAJCQaP4n2xvGcabPYNzj+PWvmke+unas49h97u28F/3LxQZiUYG9ho1C3cZkPILcZNQ31x00OjrVXSrXoF8D4MOieQ9pA8DDUsqPCyF+CACklO8D8D0A3iOEsADUALxTqpxzTzQCCSOCe89ksJo3sZKLIRblCXXU3AubjZLpdVGOpdcFWedjTrsmIhqvQTZ0VLWDd2fnynrJRKUhcXomjssVC6t509e3ahw39zhmZhK4Pj74+bPXkqfOe9E/t1XHVtVGXjowHYk3LU1iOctb35G3lDXQpZSrAL6xx/Pv63j8OwB+R1UZOpmmvy70SV+dvd4XLkXwYwuzXhcpsJ54seK7Bm33aNepTLO3/uLlfeRrNhbTsYEvxlhvkSrMFqmiY7YOm4Uwrj0rek15v3DJfzPFvJQwIkhGHTSOcXzcqfHu2v+NkomlzJXlBtlEFNsVGw6a44NPrlfxty8BCymD69BDRqe6KzS3WSsUCl4XgQKi+9YtX17bxqkMe1tH7bi3yNGVe/GXr9pYb80IGHT6HOstUoXZIlV0zNZhI+TjOtf0Gsn3860avXLcfM0mo0jFBZ5ca+4X9MnVCv7FzRlISNi2xKWaiUgEaNgSr56JY3XXhCEE1ksm7lpJcSO/ENGp7gpNbeBut080rO5e8DPXX+N1kQLJr+vQu7kXf4tTMZzKxHDnDemBR2hYb5EqzBapolu23E7SR58t4uGnC1dtyDbOc01zJD/Wrv+7/0xHO26+EkYEd6+kcSoTa28At5pvLjeYTxuom8DZaxI4nY3jm69LQigqN+lPp7orNCPo7n3riEbhjtPNe0kuZWKIG/5sOOrOXev/3FYD2YR/T5mdF3+5ZBRnFiYGvhhjvUWqMFukim7ZOmqEnCPZ/nKSfC1lYlicMpCv2QeWF+SrNtLxCOq2xGLGwDcsJvDczj62yjbm01EscXZkqOhUd4WmgU40Cr3Wqpm2g9X8PoDmSYAn99GoWw4efbaIC5v+vi8pL/6IiLwzyAj5UWvUWX/rw7Sbt6Yb9Hi4x+/eMxlUGvKq5QWpuDjw/P23zPB4k+dC00DXZdt88rfunviNkokPXPgyzvu8EamjnaqNrbKNaPNOEL5eh37S2ySx3iJVmC39+bVhqFu2jtNJ2ut2XLz7hj7qloPffPwrKAx4PA47fp3n5enElf/Hb7c1pNHRqe4KTQIzmYzXRaAA6O6JB4CVa2cRFQJRIdqNSBrebDKK+XQUtpSwpcRCytB+HXrdavbsd69xPCnWW6QKs6W3o9ZN60zHbA2y1rvXz7yzU75Yd4Y6v4/6/BBGO1Ubr1maHfh4jPL4UfDpVHeFZgR9YoK7MNLwet3nWqRSsGXz9hx+aET6hTvV7O6V5s7nui8fUDHSwnqLVGG29Obnu1j4NVu9fuaj2kCOI/GjMZuMwkok8dTq1kDHIyibzdJ46FR3haaBTjQKvaYcnltI4KdunwOgfyPSbxJGxDe3ODnqgtqv01WJwsjr7ysbFmocdlxTcYGoADbLZvtWmKPaQ8TPHS46SRgRfGMuAePm7EDHo9/x8/r7TXSU0DTQdbq3HflTvx7wyl7JN41IUuewC+qTjp6w3iJVmK3+jvq+juPi3s+bS+qaLfe45qs2YlGBB85NYzphtF977GIJDVsiIoBvum6y/f+ddE1yZ07Y4TI6lb0STg24u3qvPQU2SiY+uVpBucHZDHSQTnVXaBrohmHANE2vi0E+1q8HnNki4PCe+ouX95Gv2VhMx441esJs6cvvIzDMVn+HjXbWLQcPXdht34bp/ltmlDbS/TjKqmu2dqo28lUbl8oWinUbD50v4ME35pAwIu1jPp8y8ORaFY9d3MPiVO3EjbdenTx+7XDRzaD56j4G957J4LGLJWyWLKzvmbhtOYl8zeZsBmrTqe4KTSLT6bTXRSCf65z+1tkDzmyp55fNdbo3InIvED61WsZ60bwqO0dhtoajKjd+3sDLxWz1d9ho50bJxIXNOi6VLVzYrGOjpOZizi91Xi+6ZisVFzBtid2ajWwiioYj25uGucd8rdg8nsuZ2FCbinVvTrZRMtk4H5FB89V9DFbzJop1B8vZ5uj7Wul452MKPp3qrtCMoBMNo3P6WywqcO+ZDE+yY+LnzXXcC4TFqeYFwZ03pHFmYcI35fczlbnhetJgG2R6uSMlTFtiX0ED2s91nq7cc3hEAHEDSMcjyExcaZy5x9yd/pyv2UM13jo7eVJxwSnVHphNRpGKC7y428B8OoqVXAxPbQh8bbeBG2ZieMfrpnDDDM/HpKfQpLJSqXhdBPKxzoaWI4FKQ7ZfY7bU8vNtUjov0nLJ6LEb58zWyanMTRDWkzJbh+t3W66lTAxnr0nAdCSMqMBnXqqNfJTbz3UeoGe23J/ptVMxQApYDiAgDrzH3ZT03bdM476bs0M1pN0G/303Z3H3Shrlhn+Pp26Oky8BgeZ/zWNtO8DanonVXROf+VpNVRHJp3Squ0Izgt5oNLwuAvnYYRfkzJZafm4MDbvRE7N1cipz4+cNvFzM1skkjAi+7TVp5Gs2ljOxka5hdfc1SMWFb+s8QM9sdU5hFwJ47Wy877Ebxdr/zj0qAP+ew3Q0aL52qjbKDQenp+O4XLGwmjeRr9qYiDaPLWc/UTed6q7QNNBnZmawtbXldTHIpxJGc4OR1byJldzBURVmS63OqYd+NMzFHrN1cqob0X7dwMvFbB2t30aAS5kYFqeMoadBd/9d3RtaVRrSlx1AOmarewr7VsVCLCqQiouRb/jYfSzf/nVpnJlPIJsQnFI9AoPmq7uTdiUXw3w6ivW95rXEQspgZwkdoFPdFZoGOtEw3PVrxbqDC5e4hswLT7xY4ZpMOha/N6LJO3XLwQcuFHC5YmEhZeDdt1ypc1R0Gm6UTGzuWe1R+UpDDnwrKRqMO4U9l4ziofMF1CwH7//8LiZjEdQtObJzS+cShbViA7/yxBb2LYl0PIJfvHOB564RGKRTpVcn7f23zODuleb3dqnHEhYiXYQmmTpNWyD/OWxNYKPR8PWOu37glzWZo84B6y1Shdk63EbJxPnNGi7tWTi/WevZGH/ixQo+8tze0Dv51y0Hj6+WsV4y8eRaFem4v6dB656tSkOiYUtsVWw880od5zdryE1G+55bjluvd47c2hKomRKzSQPlRnMncRpOpb6Ph58u4INPF/B7f59HoW71fW/3XhJuJ81KjjMZ6Go61V2hGUEvFoteF4F87LD1rK/s7HLHXcX8sA5dxc7LrLdIFWZrOKPcyX+n2hwxv205ibWiibtWUr4+h+ierdlkFLGoQLFuY2YyipopsVYysTh19ZTnk9TrnSO30YjEr316GztVC+l4c5o1Decr6zt972dPNAyd6q7QNNDn5uawvb3tdTHIx+44nQJw9bSozMwcivU8b7mkkBebchXqVnvPgenE0VWliltvsd4iVZitwy1lYrhlMYGtso35dBRLXdPNR9lp6H5WvmZjMWNc9Xf5je7ZShgRPHBuGg+dL6DhSGQmIrh7Jd1zynP30oONkokJI3Lkeahzec0v3rlwrHMJHe6m09ci9qUiivWD97PndRcNS6e6KzQ1hRDi6DcR9dCrB71TMubvHXfpaoW6hV/61GWU9m0kjAh+/q3zuDYd7/v+uuVg33KQjo82B6y3SBVm63DuetV+nYKj7DQMwl0BOvkhW9MJAw++MddeutCrcd659GC9ZOLsNQl8crWCYt1GLCrwwLnpgRrc0wkDty6F5nJbuVj0YAdLbjLK6y4aCZ3qrtDUGFLKo99E1MNRI6NGRATq4kpHKqaPH2Y1b6K0b8Nymrdi+cPPF/De2+d6/p2dZUvFBe65cWpkm8+w3iJVmK2jHbXJ4Cg3IQzShoZ+ytZhm492Lz04d20Cn3mpeuTU6lHvCk8HSSnbHSz8OdMo6VR3hSbRukxZIP85airj9vb2VRuR0GiNe5M491Z6VdPBpBFBNCL6/p3uFMjcZBSVhsSEERlZDlhvkSrM1uDGtQlo59/j541H/ZKto84r3UsPblyYaK9d75xa3cntsH302eLQmwdSb26+eN1Fo6ZT3RWaEfRsNqvV4n/yj6OmHzJb6rkXSpt7ZvvetSpNJwz8/Fvn8YefLyAaEZhL9Z5C1z0F8tzi5Ein2jFbpAqzNZhxzd5x/5581UZEYOS3/honv2TrqM73Xuf+o6ZWq9iLhA4aNF+cyUDHpVPdFZoGejzef/0o0VEOm37IbKmXMCK490ymfWH02MWS8ovWa9NxvPf2uUNP8Kp3X2a2SBVmazDjanDtVO32ztQ7VQuxqMDtr0ohX7N918jzS7YGWfvffe4/amq1H+444neD5Gvcy+IoGHSqu5hWIvKFSkPClsBiOja2e6G7U+gA9Jxu2jkFcj7dvBDjlEa9+HmqMHlvXA2uzlt/ZRMROBJ4qdBgI0+xftOkD6s3Eq1d3Heq9lWvu53J33o6hXvPZNgo9Mi4l8URjVpoRtB3d3e9LgIFFLM1HuOe5u7qnHravXOvOwKzUTLxydUKPvLc3kh765mt4XAUpT9ma3D9brEJjGYarfsZ33s2A9uR+MpOA0YESE9EfdnI83u2jqo3Dnu9bjl47GIJxbqDC5dY56jg5uuw7x5nMtBJ6FR3habW0GnaAgULszUe7shEPCpgtqa5j2NUtHPq6bOv1PHQ+YMb/ySMCCaMCMqN0ffWM1vD4ShKf8zW0dyG2Eee28MTL1b6vj7MhmCdn/GxL5fxHV+XxnI2hm+6rtkpUGnos6vwoPyUrV4j5W6dnzAE8lX7QL1RtxxcvLyPfM3uWa+wzlEvHo8f+d1zO8/vuznLThIamE51V2gSm0qlvC4CBRSzNT5eTHM/OPW09869qnrrma3hcBSlP2braJ2NrXzVxsXL+1c15IZtjHV/xkQ0gsUpA/ma7dvM+iVb/Rp5qbjAesnEFzZqWC+ZSMUF6paDf7hcw+8+uYNPfHUP60UTm2XzqmPEOke9VCo10HePu7zTcelUd4VmijsR+Z8XFz+D7Nw7yGZDNH48LjSMzmU16yUTn3qhjAuXau0RuVHUR92fsZSJMbNj0m8DwEpD4lQ2hnQsgrLpIF+18fhqEX+/VkNp38FyJoZrpwzceUMaZxYmDhwj1jnjwY4QCrrQNNDL5bLXRaCAYrbGx6uLn6N27nXLNuqdlpmt4ak4LoD/b+HDbB3NrW8uXt7Hp14oYz5p4Gu7DVzYqOGWpcmR1Ef9PsNPu7Z380u2+jXyZpNR5CajKNYd5Cabz22VbcSjAtGIQL5m4/rp2FWNc5eqOoeayuUyO0JICZ3qrtA00C3L8roIFFDM1nh5cfHjVWOM2dJTEDafY7YGkzAiOLMwgac2qvi7lyso1h1sViw8c3kf775leiT1UdAadH7JVr9GXufmnwCQS0Yxn45ifc9EZkLgdXMJ3H/u6u983XLa/0+vDQVpNNx8Be17Q97Tqe4KTQN9enoaW1tbXheDAojZCjYvG2PMlp7GdW9slZitwSWMCO5eSeOlgglDOBACIzvufp+J0YufsnVYI++JFyvtev++m7O4eyUNoP9u/g9d2MWFzToA4NziZLsDh0bLT/kif9EpW6FpoBMRncRGycTmnoXlTAz5mu3LxhiNhtuYSsUF1z+GzFImhldNx5Cv1QEJLKSMoY97EGZiBFV3J1ylIbGSmzjwns76YDVv4lLZQlQ0b//p1447ItJDaBro+/v7XheBAorZCq665eDx1TLWS81Nos4tTo61McZs6aO7MXXvmQwqDenbkU9m63gSRgT33zKDu1dGN4U5CDMxeglCto7ahMytD/JVG+slE9dOGdipWLAcQIjRdOBQb0HIF+lJp2yFpoFeKpW8LgIFFLMVXDtVG5WGxG3LSawVTdy1khprY4zZ0sdO1Ua+ZiMRFVgrmchX7atG1PyE2Toed7T0qIa5uw5533IwYUQOfX9Qd6IOQraO2oTM7VxJxSMoNxxMRAWSsQj+2etSWMlNcA26QkHIF+lJp2yFpoE+Pz+vzboCChZmK7jcC+h8zcZixsBSJjbWv5/Z0kcqLvByoYFLezaEkPiziyX82zfMYDrhz9MoszW4Qaaiuw3zv3y+jC9eqqFYdzA9GcWth6xFDupO1EHJ1mHr09vnhqqNhAE8uVaDI4Hql8v4pTuTgTmWOjoqX9ysj05Kp7rLn1cWRBpwR1Smc47XRSFFgnoBTcfXnM5uoGZK7DUcXLy8j4fOF/DgG3PMRcAdNRXdbcBvliy8WGggAgFHAlIevRaZO1H7U+e54av5Ov7wC0XMp6LYrdlYzZu4dYmX1+PUuR/Ao88WuVkf+V5oahDHYSOKRqdzROWeeBZLhsMTQEB5eQHNeksfs8korp0y8HLRhCOB3GQUDUf6dt0wszW4o6aiuw345WwML5casBwHETHYWuQg7uIelmwljAhmk0CpbiCTiGC3ZiMdj2AlN96ZVmHTna/O67GIAIr7NjfroxPRqe4KTQN9Z2fH6yJQgHSOqHzkCy/hvpuzPAHQyLHeGo9BGknuJmFveVUSH/9KGTaajXS/rhtmtgZ31EyazqUwty5N4i2vSgLAkWvQg7qLe1iy1Xn8XjcXx63XTuLGhQnfLnvxi+58dV6Pbe6ZSMciuCSb97PmZn10HDrVXaGpRaanp1EoFLwuBgVE54jK3TctYjapz86PFByst9Q7TiMpYUTw9QuTuCE34ftRT2breA6bSXPSpTBB3cU9LNnqPn7XTcfZOB+D7nx1Xo/lklHceyaDfNUGwDXodDw61V2hqUliMU45otHpvCC76XQGhbw+vW4UHKy31HFHzfct59iNpCCsG2a2RuskmQjqLu5hyVZQj5/uuvPVq4OMHSV0EjrVXUww0Qm568+qpkTd4hr0MAjietGwcXf4/eRqBeWGg1RcIB3nRTaNHzeh9L87TqcAcKTWa0HoNCXqFJoGej6f97oIFDDu1FgHe4jADsz6QerNi/WirLdGq3O37fU9E7ctJ5Gv2bjnxjQmjCuN8/WSGfgGE7M1eifpwAtiwyIM2ep1PqDxCEO+yBs6ZStYZ4VDJBIJr4tAAeOuP7tpKYNivXlhRsHVud5wXMeb9dZode62DQBrJRPZRHMjr1Ote9w//HQBjz5bxMNPF1C39NnRddSYrdFyG2xhyM5RwpAtL84H1BSGfJE3dMpWaBroyWTS6yJQwLjrz3KZFKfGhoAX6w1Zb41W527btywm8K6z2QMzIcJ00c1sjVaYsnOUMGSL68+9E4Z8kTd0ylZoprgTjZq7fjAzk8D1cU5vDzquF/WvzqnHg9wuixfddBx1y8G+5XAvgxDh+UAf3BuGgig0DfS9vT2vi0ABlDAiiJhVnhRCYtzrRVlvDa/XWlF3Onu3MF10M1ujUahbeOh8AQ1HIhkT+Kbl5r2wB8lOUBsWYclWEPcP8IPOfHmxNwwFl051V2ga6I4T3vVgpBazRaowW8M77r2mw3LRzWwNr245+KPzBTz7Sh1TExHUTIndmoOL2/vtTcP6NcCD3LBgtkilznxtlExs7llYzsSQr9kD3SaTqB+d6q7QpDibzXpdBAooZotUYbaGx2nrvTFbw9up2jBtiWwiit2aDVtKLGdiKNabt/J76MIu/uCpPP7n53ZQqFtX/b9BXbPObJFKbr7qloPHV8tYL5l4cq2KdJz1Ow1Hp7orNCPoREQUPr2mrbtTi1NxgUpDBm6KMY3HbDKKXKtBsDRlYDLW3IAwm4hg33LwhY0aSvsStiPh2BL33pRt3y+bHUdEw9mp2qg0JG5bTmKtaOKuldSB+p31OvlZaBro9Xrd6yJQQDFbpAqzNRqd09bdqcX5qo31kolT2Rhyk9FATTEeBLM1vO7OH+DKlPaNkgnbAWxHIiIknttp4IPPFLE4ZbSzFtT9DpgtUsnNV+ddORYzBpYysUAvHSH1dKq7QtNAL5fLXheBAorZIlWYrdFzpxan4hGUGw7SsUh7inGY1i4yW6PRvWeB+3gpE8OtS5M4v1mDI4FYVFy1Tjao+x0wW6SSm69enVzrJfNYe44QddKp7lKaWiHEi0KIZ4QQF4QQT/V4XQghflsI8bwQ4mkhxK2qyjI3N6fqoynkmC1ShdkaPXfUpdJo3harbDqhnGLMbKmVMCL4/ltn8LNvmcdPfvMsbl2cbE9/T8UF1ksm6pY+GxKNErNFKnXmq9nJFWuPknPpCA1Dp7prHCPob5VSbvd57TsAvLb16zYAv9v6nYhIS1zf5m+doy5cg04qJYwIVnITqFsOJlr5yiWjeOxiiVNwiRQI8tIRChevp7jfA+AhKaUE8FkhxLQQYlFKuTnqv8i2g7NDKumF2QqPca9vY7bU6JxaPJ1oPhe2jhdmazy664w7TqcCPwWX2SKVjspXUJeOkHo61V2qG+gSwF8JISSA35NS/n7X66cAvNzx57XWcwca6EKIBwE8CABLS0uYn58H0FwrYFkWpqenAQD7+/solUrt1x3Hwc7ODqanpxGNRjE/P498Po9EIoFkMgmgeVN6x3Gu3LahXke5XG5Pc7BtG/l8HjMzMzCM5o9rZ2cHyWQSk5OT7c+QUiKTybQ/o1KpYHZ29sBn5HI5RKPR9mekUikkEs2rw1KpBCEEpqamAAC1Wg3VarX9GZZlYXd398BnbG9vI51Otz+jWCwiEom0P6NaraJeryOXywEATNNEoVDA7OwsIpFm5bW1tYVMJoOJiQkAQKFQgGEYSKfTAIBKpYJGo4GZmRkAQKPRQLFYxNzcHIQQkFJie3sb2WwW8XgcALC7u4t4PI5UKnXs4xSLxQDAV8epUCi0/y08Tvoep1F8n7a2y7j9xmWk4xGsF+rYqdbwDTfMKz1OhmHwOCn+Pr2yk8f/2zCxPJeF5Qi8esIGbCvQ3yf3nOin4+THeq9Yt/GGV0/imRdfwY3XzeO116VxbzqHjz+9jjetzOKm03OIRSOB+j4VCgVMTk766jh1/ozDUu/58fvk/owB8Dj54Dj57fvknhfHdZwOI456wzCEEKeklOtCiAUAnwDwY1LKT3e8/ucAflVK+ZnWnz8J4GeklFetV3fddNNN8pFHHjl2WWZmZrC7u3vs/4/oKMxWeHSPht17JqN0ijSzNR7rJROPPltsj2red3MWpzIxr4ulFLM1Hr1m3QAI9GwNZotUYr5IlXFn6+zZs5+XUr6h12tKR9CllOut3y8LIT4M4E0APt3xlnUA13X8ebn13Mi5vTdEo8ZshUf3+mXVa0mZrfEI48ZCzNZ49FsTG+QpuMwWqcR8kSo6ZUvZGUIIkRJCTLmPAbwNwLNdb/sogPtbu7m/GUBRxfpzIqJRy7du17WQMtq36SJ/chtR992c5aZdNHLdO00T0ejVLSfQd0egcFHZVXANgA8LIdy/52Ep5ceFED8EAFLK9wH4GIC3A3geQBXA96sqzM7OjqqPppBjtsKjc7pqKi6QjqsddWW2xidsGwsxW95wNyMM8h0EmC1SqVe+xr2BKwWTTnWXsga6lHIVwDf2eP59HY8lgB9RVYZOyWRSqxvQU3AwW+Gx0zFqfrli4Z4b05gwIsouspktUoXZGj+3EZGv2lgvmTiVjSE3GQ1cY4LZIpV65WujZGJzz8JyJoZ8zQ7k3RFIPZ3qrtCk190xkGjUmK3w6F6rvJSJKZ26ymyRKszW+LkdfKl4BOWGg3QsEsjlMcwWqdSdr7rl4PHVMtZLJp5cqyIdD8c+IjR6OtVd+qyGJyLSXL8Nn8ifwnbvc/KW28GXr9pIxyMomw5yk1E2JoiGsFO1UWlI3LacxFrRxF0rKdbn5HuhaaDv7e15XQQKKGYrXMa5VpnZUifsaxaZrfHrvgtEUNegM1ukUne+2h1fNRuLGQNLAb9FJqmjU90Vmga6yvu9U7gxW6QKs6VO934CYVuzyGx5o7ODbzrhcWEUYbZIpe58cWYbjYpOdVdoUpzJZLwuAgUUs0WqMFuj0ev2O2G893knZotUYbZIpV75cm9lCIC3WqMT06nuCs0IOhERhU+/qewcdSEiCo6wL1uiYAlNcuv1utdFoIBitkgVZmt4nVPZu3fMdkddDruI6zX6HgTM1ngFNUe9MFukUr98HVbXEw1Cp7orNCPolUrF6yJQQDFbpAqzNbzOqeypuMC+5aBuOVc1ynvt6B7kERlma3yCnKNemC1SqV++wr5siYanU90V3DNEl9nZWa+LQAHFbJEqzNbw3Kns99w4BQGBjzy3h4efLhwYyXQbUI8+W8TDTxdQqFtYL5nYKJntEZl81cbFy/uBGQFltsYnbCN7zBap1C9fbl1/383ZwHeCkRo61V2hGUEnIho13kfbHxJGBBNGBOVG713bOxtQm3smHjpfgC2BVFwgHY9gc8/EesnEp14o48KlGi/+6Fjckb3NPROxqEAqLrwuElEgjfM2qEQqhSbFth3sHmvyDrMVTt2jripGVpmt0Tls+mPna7GoQMORWEgZqDQk7lpJ4c6VNE5lY1hMxwIzAspsjU/CiODeMxnEowKmI/HYxVJgZmL0wmyRSswXqaJTtkIzgp7P570uAgUUsxVOGyUTm3sWljMx5Gu2kvtoM1uj02/XdncWxL1nMqg0JFJxgccultoN+aVMDEsZ4MKlWqDWNjJb41VpSNgSWEzHrprBETTMFqnEfJEqOmUrNA30XC6n1Q+egoPZCp+65eDx1TLWS82pz+cWJ5U02pit0eqe/thv865eDfmg3ZKN2RqvMG1gxWyRSswXqaJTtkLTQI9Gg3syJG8xW+GzUTKxVbHx+qVJXNqzcNdKSkmjjdlSq3PteeeoZq91jEFb28hsjVe/jp8gYrZIJeaLVNEpW8E9QxARKdA5ev75jRoW0gaWMjGvi0Un0D2qmYqLnveqDtM9rEmdZidPLNCNcyIiGl5oRtB3dna8LgIFFLMVLjtVG5WGxG3LSawVTWWj5wCzpVrnqKa79rx7untQ72HNbJEqzBapxHyRKjply/9XGQNKpVJeF4ECitkKF3fUNV+zsZhRO3rObKnnjmpWGrLnvaqDeg9rZotUYbZIJeaLVNEpW6FpoCcSCa+LQAHFbIWLO+p6381Z5aOpzNb49NvEK6ibezFb3gn6kglmi1RivkgVnbIVminuRESjErQNw6j/Jl5h2tyL1AvqkgkiIhqd0JwVSqWS10WggGK2SBVma7z6beIVxM29mC1vBHXJRCdmi1RivkgVnbIVnKuNIwghvC4CBRSzRaowW6MX9OnFg2K2vBHUJROdmC1SifkiVXTKVmimuE9NTaFer3tdDAogZotUYbZGi9OLr2C2vBGGJRPMFqnEfJEqOmUreGcGIiKiHsIwvZj0F8QlE0RENDqhOTvUajWvi0ABxWyRKszWaIVhevGgmC1ShdkilZgvUkWnbIVminu1WvW6CBRQzBapwmyN1kmmF9ctJ5DTkZktUoXZIpWYL1JFp2wF52rjCLOzs14XgQKK2SJVmK3RcTeHAzDw9GJ3zfqjzxbx8NOFQG0sx2yRKswWqcR8kSo6ZSs0I+hERBROJ90crnPN+uWKhZ2qjVOZ0PRrExERkQdCc6VhWZbXRaCAYrZIFWZrNE66OVyQ16wzW6QKs0UqMV+kik7ZCs0I+u7urtdFoIBitkgVZms0TtrQDvItsZgtUoXZIpWYL1JFp2wF52rjCLlczusiUEAxW6QKszUabkP7vpuzx773eVBvicVskSrMFqnEfJEqOmUrWFcch4hGgzM1kfTCbJEqzNboHKeh7W4oF6RN4boxW6QKs0UqMV+kik7ZCs0UdyIioqOcdEM5IiIiolEIzVXH9va210WggGK2SBVma/xOuqGc3zBbpAqzRSoxX6SKTtkKTQM9nU57XQQKKGaLVGG2xs/dUG5zz4SUEqV9K5BT3ZktUoXZIpWYL1JFp2yFpoGeSCS8LgIFFLNFqjBb45cwIrj3TAYRAXxlp4H/8dk8PnChELhGOrNFqjBbpBLzRarolK3QNNCJiIgGUWlI1EwJIyIQFQKXK1Zgp7oTERGRXkLTQC8Wi14XgQKK2SJVmC1vzCajmE9HYUsJW0ospIyB753uF8wWqcJskUrMF6miU7ZCs4t7JBKavggaM2aLVGG2vJEwIrj/lhncvWICAJYCeB90ZotUYbZIJeaLVNEpW/qURLGpqSmvi0ABxWyRKsyWdxJGBCu5CazkJgLXOAeYLVKH2SKVmC9SRadsBe+qg4iIiIiIiMiHQtNAr1arXheBAorZIlWYLVKF2SJVmC1SifkiVXTKVmga6PV63esiUEAxW6QKs0WqMFukCrNFKjFfpIpO2QpNAz2Xy3ldBAooZotUYbZIFWaLVGG2SCXmi1TRKVuhaaATERERERER6Sw0DXTTNL0uAgUUs0WqMFukCrNFqjBbpBLzRarolK3QNNALhYLXRaCAYrZIFWaLVGG2SBVmi1RivkgVnbIVmgb67Oys10WggGK2SBVmi1RhtkgVZotUYr5IFZ2yFZoGeiQSmn8qjRmzRaowW6QKs0WqMFukEvNFquiULX1KQkRERERERBRioWmgb21teV0ECihmi1RhtkgVZotUYbZIJeaLVNEpW6FpoGcyGa+LQAHFbJEqzBapwmyRKswWqcR8kSo6ZSs0DfSJiQmvi0ABxWyRKswWqcJskSrMFqnEfJEqOmVLeQNdCBEVQpwXQvx5j9e+TwixJYS40Pr1b1SXh4iIiIiIiEhHxhj+jh8H8A8A+s0beERK+aOqC6HTve0oWJgtUoXZIlWYLVKF2SKVmC9SRadsKR1BF0IsA/inAP6Xyr9nEIYxjr4ICiNmi1RhtkgVZotUYbZIJeaLVNEpW6pL8t8B/DSAqUPe891CiG8B8GUA75VSvtz9BiHEgwAeBIClpSXMz88DAMrlMizLwvT0NABgf38fpVKp/brjONjZ2cH09DSy2Syq1Sry+TwSiQSSySQAYG9vD47jIJvNAgDq9TrK5TLm5uYAALZtI5/PY2Zmpn3gdnZ2kEwmMTk52f4MKWV7c4F6vY5KpdK+4b37GblcDtFotP0ZqVQKiUQCAFAqlSCEwNRU80dVq9VQrVbbn2FZFnZ3dw98xvb2NtLpdPszisUiIpFI+zOq1Srq9TpyuRwAwDRNFAoFzM7Otu/1t7W1hUwm0153USgUYBgG0uk0AKBSqaDRaGBmZgYA0Gg0UCwWMTc3ByEEpJTY3t5GNptFPB4HAOzu7iIejyOVSh37OMViMQDw1XFKJpPtnxePk77HyY/fp2QyifX1dR4nzY8T4L/v08LCAqrVKo+T5sfJj98n93keJ72Pk1+/T5OTk3jppZd4nDQ/Tn78PrnnxXEdp8OIo95wUkKIdwB4u5Tyh4UQdwD4KSnlO7reMwugLKXcF0L8IIDvlVLeedjn3nTTTfKRRx45dnnm5+e12j6fgoPZIlWYLVKF2SJVmC1SifkiVcadrbNnz35eSvmGXq+pbKD/FwDvBmABSKC5Bv0xKeW/6vP+KIC8lDJ7xOduAfjaCYo0B2D7BP8f0VGYLVKF2SJVmC1ShdkilZgvUmXc2bpeSjnf6wVlDfQDf0n/EfRFKeVm6/E/B/AzUso3KyrDU/16KYiGwWyRKswWqcJskSrMFqnEfJEqOmVr7KvhhRC/DOApKeVHAfw7IcR3ojnKngfwfeMuDxEREREREZEOxtJAl1I+AeCJ1uNf6Hj+5wD83DjKQERERERERKQzpbdZ08zve10ACixmi1RhtkgVZotUYbZIJeaLVNEmW2NZg05EREREREREhwvTCDoRERERERGRtgLTQBdCvFcI8SUhxLNCiA8KIRJCiBuEEE8KIZ4XQjwihIi33jvR+vPzrddPe1x80owQ4v1CiMtCiGc7nssJIT4hhPhK6/eZ1vNCCPHbrTw9LYS4teP/eaD1/q8IIR7w4t9CeumTrd8QQjzXys+HhRDTHa/9XCtb/yiE+LaO57+99dzzQoifHfM/gzTUK1sdr/2kEEIKIeZaf2a9RQPrly0hxI+16q4vCSF+veN51ls0kD7nxFuEEJ8VQlwQQjwlhHhT63nWWzQwIcR1Qoi/FkJcbNVRP956Xv/reSml738BOAXgBQCTrT8/iuaO8I8CeGfrufcBeE/r8Q8DeF/r8TsBPOL1v4G/9PoF4FsA3Arg2Y7nfh3Az7Ye/yyAX2s9fjuA/wtAAHgzgCdbz+cArLZ+n2k9nvH638ZfWmbrbQCM1uNf68jWGQBfBDAB4AYAXwUQbf36KoAVAPHWe854/W/jL/2y1Xr+OgB/CeBrAOZaz7He4q+Bf/Wpt94K4HEAE60/L7R+Z73FX8Nm668AfEfr8dsBPNHxmPUWfw30C8AigFtbj6cAfLlVP2l/PR+YEXQ0d6SfFEIYAJIANgHcCeBPW6//EYDvaj2+p/VntF6/SwghxldU0p2U8tNo3vqvU2duuvP0kGz6LIBpIcQigG8D8AkpZV5KuQvgEwC+XXnhSWu9siWl/CsppdX642cBLLce3wPgQ1LKfSnlCwCeB/Cm1q/npZSrUsoGgA+13ksh1qfeAoDfBPDTADo3nWG9RQPrk633APhVKeV+6z2XW8+z3qKB9cmWBJBpPc4C2Gg9Zr1FA5NSbkopv9B6vAfgH9Ac1NX+ej4QDXQp5TqA/wrgJTQb5kUAnwdQ6LjoXUPzoKD1+8ut/9dqvX92nGUmX7pGSrnZenwJwDWtx+08tbhZ6/c80WF+AM0eXIDZoiEJIe4BsC6l/GLXS8wWDevrALyltVTwb4QQb2w9z2zRsH4CwG8IIV5G8/revSUzs0Un0lrOfA7Ak/DB9XwgGuittQP3oDmVaglACuw5I4Vkc84Lb4FAIyWE+E8ALAB/7HVZyP+EEEkA/xHAL3hdFgokA80pn28G8B8APMrZiDQi7wHwXinldQDeC+APPC4P+ZgQIg3gzwD8hJSy1PmartfzgWigA7gbwAtSyi0ppQngMQC3ozk1wWi9ZxnAeuvxOppr8tB6PQtgZ7xFJh96pTXVBa3f3el87Ty1uFnr9zzRVYQQ3wfgHQD+ZeuEATBbNJxXo9lx/UUhxIto5uQLQohrwWzR8NYAPNaaDvo5AA6AOTBbNLwH0LyWB4A/QXN5BMBs0TEJIWJoNs7/WErpZkr76/mgNNBfAvBmIUSy1Xt7F4CLAP4awPe03vMAgI+0Hn+09We0Xv9UxwUxUT+duenO0/2t3R/fDKDYmjrzlwDeJoSYac3yeFvrOaIDhBDfjuYa4e+UUlY7XvoogHeK5p0nbgDwWgCfA/D3AF4rmneqiKO52eVHx11u0puU8hkp5YKU8rSU8jSaDapbpZSXwHqLhvd/0NwoDkKIr0Nz47dtsN6i4W0A+NbW4zsBfKX1mPUWDazVJvwDAP8gpfxvHS9pfz1vHP0W/UkpnxRC/CmAL6A5PfQ8gN8H8BcAPiSE+JXWc+4UmT8A8AEhxPNobkzxzvGXmnQmhPgggDsAzAkh1gD8IoBfRXMK379Gczfk+1pv/xiaOz8+D6AK4PsBQEqZF0L8ZzQvSgDgl6WUvTZwohDpk62fQ3PH40+0Zoh+Vkr5Q1LKLwkhHkWzw9EC8CNSSrv1OT+K5gkiCuD9Usovjf0fQ1rplS0pZb+poay3aGB96q33A3i/aN4eqwHggdZgB+stGlifbP1bAL/VmuVaB/Bg6+2st+g4bgfwbgDPCCEutJ77j/DB9bzgwDERERERERGR94IyxZ2IiIiIiIjI19hAJyIiIiIiItIAG+hEREREREREGmADnYiIiIiIiEgDbKATERERERERaYANdCIiopARQnyXEEIKIW70uixERER0BRvoRERE4fMuAJ9p/U5ERESaYAOdiIgoRIQQaQD/BMC/BvDO1nN3CCGeEEL8qRDiOSHEHwshROu1u4QQ54UQzwgh3i+EmPCw+ERERIHGBjoREVG43APg41LKLwPYEUK8vvX8OQA/AeAMgBUAtwshEgD+N4DvlVKeBWAAeM/YS0xERBQSbKATERGFy7sAfKj1+EO4Ms39c1LKNSmlA+ACgNMAXgfghVZjHgD+CMC3jK+oRERE4WJ4XQAiIiIaDyFEDsCdAM4KISSAKAAJ4C8A7He81QavEYiIiMaOI+hERETh8T0APiClvF5KeVpKeR2AFwC8pc/7/xHAaSHEa1p/fjeAvxlDOYmIiEKJDXQiIqLweBeAD3c992fos5u7lLIO4PsB/IkQ4hkADoD3KS0hERFRiAkppddlICIiIiIiIgo9jqATERERERERaYANdCIiIiIiIiINsIFOREREREREpAE20ImIiIiIiIg0wAY6ERERERERkQbYQCciIiIiIiLSABvoRERERERERBpgA52IiIiIiIhIA/8f6x5nMX+A9IgAAAAASUVORK5CYII=\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -4191,7 +4177,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -4256,51 +4242,44 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_vg7jd5_2/model_gujiwcol.stan', line 16, column 23: Argument 100 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_by2s3ozq/model_zq2l6lwo.stan', line 16, column 23: Argument\n", + " 100 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (100/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 14% (1100/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 16% (1300/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 19% (1500/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 22% (1800/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 28% (2200/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 24% (1900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 26% (2100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 29% (2300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 31% (2500/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 39% (3100/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 41% (3300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 56% (4500/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 72% (5800/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 46% (3700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 64% (5100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 96% (7700/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 5.4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.\n", + " Gradient evaluation took 6.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 7.3e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.\n", + " Gradient evaluation took 9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 5.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.\n", + " Gradient evaluation took 5.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.51 seconds.\n", " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fatjhom7/model_gujiwcol.stan', line 20, column 8 to column 44)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fatjhom7/model_gujiwcol.stan', line 20, column 8 to column 44)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 5.2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.\n", + " Gradient evaluation took 0.000103 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.03 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -4379,7 +4358,7 @@ "outputs": [ { "data": { - "image/png": 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csjP2isUiCoUCnj9/DoCM482bNwtOw6osUPYBWId1NA2mnFyWHc1mwbJKhpvQP8IwxHe+8x1897vf9ecm+Li4KHt+l7iq/a/Crtv/3t4evvOd7+DJkydotVrY39/Hl19+6QODJEku3PddYlftRnDzuOln8aKKBe8ji4/xLJZKJXzxxRc4OjrC3t4eWq0Wnj59ikePHmE6ncoc5R3AQ1pzPoX3WxY8+uou7uFDspuHgvtg//v7+zdi/zyuMPvnImX6u8KdB+hZKKW+APBLAP6jOz6UlchSKNgAq9UqHj9+DIBGR6yae86I49hTOC4yonWGxsHB8viAZbDjwr0al203C631RlQWwaeHT8H+y+Xyue0rpTxdi18iAsFd4lN4FteB6ZebVHQEgk3xKT1TSZLg+PgYBwcHK/uEBZ8ePiX7B+j9sevvkDvvQWcopaoA/m0Af9Ja21/x+z8O4I8DwNOnT/38PO5baDabAMiB7vf7/vfGGJydnaHZbPrAs91uo1gs+ozJYDCAMQaNRgMAfHb+4OAAABlOu91eoGOUy2VUq1WUSiUcHh56avjp6SkODg7QaDRgjPHHkSQJvvnmGz4XPH/+HJ1OB5VKxRtUv9+HMcZnsfb29qCU8tnGV69e+Xl/vN3T01NUq1W/jbdv33r60JdffokgCDCdTtFqtfCjH/0IABnw/v6+fxBOTk5Qr9dRKBQAUGY1DEOUy2X86Ec/QhiGCMPQU0C4L4VHJPDcwkaj4Rf7TqeDfD7vH6KPeZ94LANAlOVyuewXnMFgAGut7yeeTqcYjUb+GvM29vb2PE3m7Ozs3H3KBm2TyQTj8dhvI45jdDqdhW0s36derwettd/GeDzGdDrF3t4eSqUSms0mut3uRveJ+8ZGoxHm8/mt3adscHp0dOTPJQgCJEmCk5MTnJ6eolKpoNVqnbtPfNzc173qPuVyOW//9Xrd28d0Ol1QAt3b21t5n4wx3v4fPXqEYrGIWq0Ga623/6OjI+zv71/pPrFN8v1iJdEoinbmPmXnisrzlD5Pu3afbmLd47FoAInx9Ho9tFotHB4eQimFd+/e+XfR0dHRufv0/v17AOm7iK9B9hp/+PDBP4tPnjzx82VrtRpev359zuaW7xNrOQD0LqrVauj1elBK+bWk2WwiCIIL79Px8TEqlQrCMMRwOMSHDx+glMKLFy9QKBR2+j499OepWCz6a3Sfn6fhcLhAly0Wi/4+HR4eYj6fo91u+2eqXC6fu0/ZZ+rJkyfodrvn7lOhUFh4v/H7CQC++eYbzGYz5HI571Mu36dvvvlm4ZkyxkBrjWq16t9v5XLZX491616n00Eul8PP/dzP4euvvwZAPbh7e3sf5T6xncnztDvvp6x/9/z5cz9XHEgF3E5PT1EsFvHkyZNz94nPXSm1sC5k7xMfJ0DvGr6Xg8EAYRh6+6/Vaivv02Qy8fa/t7eHWq2GYrG40r9bdZ9YhK7T6eD09BQAVdNfvHiBp0+fot/v38l9Wge1C31cSqkcgL8O4P9lrf3fXvb5733ve/YHP/jB7R/YEt68eYNer4d8Po9vf/vbC7+z1uLly5cYj8dQSuHzzz8/R5k4PT3Fhw8fUCgU8K1vfWvlPkajEV6+fAkA+G2/7bctJAXevXvnF9Zvf/vb53o84jjGV199hSiKUK/XFyjqSZLgN37jNwAAP/MzP7NRlskYgx/96Ec7KZ4g+Pj41OyfEUURfuu3fguFQgFffvnlxt8TCG4Ln9Kz2G63ffADkEN1dHT00QStBJ8GPpVnajwe4+uvv8aLFy9Qq9XQ7Xbx9u3bjyoSJ9g9fAr2H0UR3r59i1qthlwu55MrHIQzW+Bj4/vf//5/Yq39Xcs/v3OKu6K78GcB/HCT4PwuwTMCV918zujncjlYa/Hq1atzBnzV/oxlA+VsZBRFePPmDaIoAkCBdK/Xw09/+lNEUeQzXFlorf32+v2+COzsMDhbt2u4qv1zppRxH+3fGINXr17BWntum7uGXbUbwc3jpp/FVbazK89irVbDZ599hufPn3tW2a5TEz8VPKQ151N4v1lr8e7dO1Sr1bUq2x8DD8luHgo+BfvP5XL4/PPPffW91Wrhyy+/RLlcRrvd3rkWxl2guP8eAP80gP9UKfX33c/+BWvt/+PuDuk8stTzdQYYBAE+++wzfPXVV0iSBL/+67+OFy9eeOrHJj0SF32mVCrh0aNH+PDhA/r9vqdjZJ2VSqWCZ8+enVMxVEqhXq+j1+vh9PQUZ2dnnqLx7NkzyZzuEHZxfNA29v/q1St88cUX99b++UU0nU7x4sWLnZ+tuYt2I7h53MazuMp2duVZzOVyngZbr9fR7/fx+vVrqfjtAB7KmvOpvN/a7Tbm8zlevHix0XW5LTwUu3kouC/2z21cNxnfcBvxeDxeaMXcBdx5gG6t/Q8ArNbj3yFsOmOyUCjg2bNnePXqFcbjsXckrLULComX7WfdZw4ODlAsFnF2dobJZAJrLXK5HIrFIhqNxoWzmp88eYIgCDAYDBBFkRdl2CWDFOwmtrH/2Wx2b+3fWovXr19jNBrh6dOnd1ptEAiy+NSexWXwCJ9utysBuuBG8Ck8U6wTwz3dfLws7BXHMebzOXK53NoRWYKHifti/9/61rfWCtU9efIEgdZk/3F8pXcK9+jv2pSenehBvyruqgf9qljO/tw3SA/63eC+2819Bwfng8HAj1u7DxC7EWyL+2Q7/F6qVqv47LPP7vpwPmncJ7v51DGfz/GTn/zk0s995zvfufVJPmI3gm1wod3EMWAtsIXtDgYDvHr1Co8fP76T9ot1Peh3XkF/yKhUKhgMBnd9GIJ7BrGbu4O1Fm/fvsVgMMDR0dG9Cc4BsRvB9thF24njeEFZm9HpdABc3Oso+DjYRbsRrEYYhgvCWozRaIROp+Orlx+Dfi52I9gGK+3GWqg4hg0C4JIRbUmSnLNvY4yvyu8aI0sC9FtEsVi8l4tQu91GkiReaGE2m3kDLpfL5+YPCm4W99VuHgKOj4/R6/VQKpUQBAG63e7C78vl8s7OjRW7EWyLXbSd4+NjzGYzVKtV5HI5P0JxOBwin8+L0NQOYBftRrAaWuuVFHljDDqdjh8d/DEgdiPYBufsJkmgjIHdsGr+9u1bGGNQKpW8inuv18N8PsfBwcHO+XYSoAvO4ezszCsoAtQ3wr0jBwcHEqALHizYzieTiVc1zeLp06c7t4gLBA8R9XodnU4H3W7X9wbm83kcHBxgf39fhKYEAoHgE4WKIlitNw7OAaqQ93o9dDodJEkCrTWKxSIePXp0ob7DXUEC9FtEv9+/60PYCt/5znfu+hA+adxXu3kI+OKLL+76ELaG2I1gW+yi7dRqNRFn3HHsot0IroZms+lHXH0siN0ItkG/3weMgUoS2DAErihm2Gq17lXbogTotwhRwhRsA7EbwTYQuxFsC7EdwTYQuxFsA7EbwTZQSQIkyZWq5vcZF3fUC64Fyf4LtoHYjWAbiN0ItoXYjmAbiN0ItoHYjeBKsBYqilBrNC5XaU8SINOie58hAbpAIBAIBAKBQCAQCHYHSUIq7bncpSrtaj6HHo+vTH3fVQjF/RaxSmRKILgMYjeCbSB2I9gWYjuCbSB2I9gGYjeCTbAsBLfWboyBcr8z5fLHOrxbhwTot4jxeHzXhyC4hxC7EWwDsRvBthDbEWwDsRvBNhC7EVyINUJwK+0miqAmE9hCAUprwFrggUz4EIr7LWJ/f/+uD0FwDyF2I9gGYjeCbSG2I9gGYjeCbSB2I1iLKAJ4tvkSVX3BbqyFmkygZzPYUglKa9gggLIWiOOPfNC3AwnQBQKBQCAQCAQCgUDw8eGE4BAEQHgJuTtJoIdDQCnYQoH+1pq+D1wuJHdPIBT3W0T8QLI4go8LsRvBNhC7EWwLsR3BNhC7EWwDsRvBApIkrZpfgDiOoWYzqPkcJp+nqnkYkohcksBq/WCCc0AC9FtFp9O560MQ3EOI3Qi2gdiNYFuI7Qi2gdiNYBuI3QgYLAR3aWBtDLqvX6dV8yCAVQoqjqnvPAwfTO85Qyjut4i9vb27PgTBPYTYjWAbiN0ItoXYjmAbiN0ItoHYjQDGUHC+SWAdRVCDAVr7+0AuB5vPA8ZQr7m1VHl/YME5IBX0W0XwAA1GcPsQuxFsA7EbwbYQ2xFsA7EbwTYQu/nEEUVUCb+sau6E4GAtUCwiKJdhJxMK7K3dbBv3GBKgCwQCgUAgEAgEAoHgdmAt9YsHAaAvIXAnCfR4DKsUUCj4QFyxfkEQPMiqeRYSoN8iTk9P7/oQBPcQYjeCbSB2I9gWYjuCbSB2I9gGYjefILJ09EugplOo+Rw2n/f0dRVFOD05SbexNILtIUJ60G8R1Wr1rg9BcA8hdiPYBmI3gm0htiPYBmI3gm0gdvNpQTlK+yZCcGo0AuZz2GIRtlgElCJKO4BqpUL9559AcA5IgH6rKBaLd30IgnsIsRvBNhC7EWwLsR3BNhC7EWwDsZtPBCwEt4mI22wG1e9TXzkH4lFEYnAAoDWKtdpm+02S6x33jkAo7gKBQCAQCAQCgUAguD6uKgQXRbClElAo0M/mc9gggEqSzSnt3OMePozQ9mGcxY6i1+vd9SEI7iHEbgTbQOxGsC3EdgTbQOxGsA3Ebh4wskHyZUF1HEOPRrBBAFurkXAc96oHAZQxVEl3uNBu+HtaU9X9AQjISYB+i9CXqRQKBCsgdiPYBmI3gm0htiPYBmI3gm0gdvNAcVUhuPEYplwGXMuDiiIKsK0FgHPbWWc3C9+zFnggFXR5Sm4RtU37JQSCDMRuBNtA7EawLcR2BNtA7EawDcRuHh6uIgSn+32o+Rym2aTgnHvVwxAqSSjAXlEBP2c31qbf46r5AwnOAamgCwQCgUAgEAgEAoHgKkgSoqJvUDXHbAY1GsEUi0C5TD/jXnWtiRqfobRftl8YQ1T4ON5s//cMEqDfIsbj8V0fguAeQuxGsA3EbgTbQmxHsA3EbgTbQOzmgeAqQnDDIVSSUNXc0dF9r3oc08cu2Q7bjae0KwWwiFz2mLSWHnTBxZhOp3d9CIJ7CLEbwTYQuxFsC7EdwTYQuxFsA7Gbe46rCsH1ejClEgnBuZ/BWqKmO4o6NtAlmE4mpO6ey9E2tE4p7XxMQbDRtu4DHsZZ7Cj29vaoL+OBzOQTfBzs7e3d9SEI7iHEbgTbQmxHsA3EbgTbQOzmHiOOAaaUXxKcq9EIejCAaTQ8pd33qmcp7ZsE1EmCvXodNpejbWT71JNkkeb+QGIuCdBvGdYZsIoiol4IBAKBQCAQCAQCwT2BYvr4ZZT2JIFutwFrYVotCqaThKrluRyNQdtQ7R1AGjtlg/psbAWkVXVjtj29nYNQ3G8RkcsUKTYYrVNjekA0DMHNIpJEjmALiN0ItoXYjmAbiN0ItoHYzT3DVYTgRiPo2QymVksDee5VD0OiqG9Iafcq7bkckCSImN4OkPJ7kniavYoiWAAKoJ89ADyMs9hRdLtdqNkMCMPF2X5AalxKPaixAILro9vt3vUhCO4hxG4E20JsR7ANxG4E20Ds5h7hCkJwutuFDQKqmiu1GERzj/gVVNqVMbD5PAXfQYDucJgeE+Cr8Z42rxSstURxfwAicVLCvUXs7+/DlsuwSkG5HgkAQBBAuWAdIIqGiiIfwAs+bezv79/1IQjuIcRuBNtCbEewDcRuBNtA7OYegAPfMLy8iDidQrfbMOUybL1OwXIcpwrrjnp+VUq7DYIFEbn9vT2o+ZyCb95utjrvKu4PpQddSre3CM0UjlxuoWqO6ZR+5jI+sJZ+H8dEz5Cq+icNLa0Pgi0gdiPYFmI7gm0gdiPYBmI3Ow5WWd8goNa9HixAVfPs+DTXxsvV7ytT2o1ZHKGWJNBJ4ivwKopgk8QzlNVsRkmAyQQoFIBNK/U7DIkCbxk+++NUC60TWLBRRME6kI4K4Aq7y1xZgH5+2RgDgUAgEAgEAoFAINgGVxlVNp9DD4fEEi4W6WfZXnWOYzatmmco7VgSo/Nzz/N5OsbZjH5fKFC1fDymZMBkQgF7qXSNi7A7kAD9FnFyckIGFkVUGdc67YvgqrozSkwmUFxVDwL6OQA7n0NxYP8AeioEl+Pk5OSuD0FwDyF2I9gWYjuCbSB2I9gGYjc7iE2F4KyFGgwAY2h8motLVBTBcq+6KzZeidKeFZHjEW5LQnAn799DzWb0+1yO6O7zOay1UKMRbKWyeY/7PYDwTG4R9Xqd/pHLeUM9N24tCOh3LuOT7VW32Tl/3Kcu6pcPHt5uBIIrQOxGsC3EdgTbQOxGsA3EbnYLC6PKLkIUQXe7VKXm4Jwr5a5X3Y9i26RN19q0p3x5hJrrJffB+nyOeqFA1fowhBqNgCii4HwyganVFpIDDwESoN8iCoXCogAcB+POiBeE4VzmyRYKfnY6ZjMoa+n/hQKNELAWmE7puw9o3p8gRaFQuOtDENxDiN0ItoXYjmAbiN0ItoHYzY4gG1xfxNB1FWo9HMJUq7Dl8nkhOBdsbzxCzRUjbT5PsQxX71nojYXgrIUajwFrUWi1SC1+MCCx7SiCns9hWy0oHmntKu8PAUJxv2X4jNQSzf3cz7M9H0x/d1R3JIlXfffiCcZQH0YQUAC/KZVEIBAIBAKBQCAQfJrYVAgujqFHIxqf1misFILz29qUXp4Z3bYgIrdMs49j6Pkcplik30+n0KMRTKEA3e8DxSJMrZZW7QGiwD8QmrsE6LeIhVmP2Z5zFoBzfRQLP88quHPvOUCicgDAPelKES0+iih4Z3EEEZW795AZoYJtIHYj2BZiO4JtIHYj2AZiN3eITYXgrIWaTqkqXizCMuthKYj2Am6bUtp530ot9JvzdnxwPp1CWQtTLtN+BgN053OYMITudmEaDaggIJq7+z6MoW0/kClYQnG/RYSrjGQVzd2Y9OduLMG5uejcx87bdNQUBXhqPAB6oGazB9WH8alhpd0IBJdA7EawLcR2BNtA7EawDcRu7ghMK3exxlrEMTAYAHFMlHaOL7K96saklPZNBKyz+7YWYHp7lhrvtqPHY4qJSiWqovf7sMUiQmOogr63B6U1xU5K+RFryOWAYvHBCGpLgH6LqFar6wNl7jnPjCNAHFPVnH8ex+d7zTmQz9JS3Mg2qxRsqQQbBCQ2Nx6fD/QFO49qtXrXhyC4hxC7EWwLsR3BNhC7EWwDsZuPj42E4NwIMz0e01SpavW8EFwQpL3nLOh2GVwcYt1UKwAUwyxvJ4qgx2OqmudywHgMNRrBVCrQ7Taq9TpMs5nGRNZCz+cUT7GAXBQB8/n1LtaOQNJYtw1XEQewflRaGBLNnQN1OAV3pr/HsQ/AfQWdxxkAqcGzuAKQ9mDEMc0GZOrIA8ksCQQCgUAgEAgEgjVYGlW2FlFEwtRJAlOppLHGUq/6tSnt7jgWes8BqMkEFqDg3AnBmTCELRSgT06o/71UghoMKBaazWCtpfipUPBz0K21NC/9AUAC9FvEaDRa6CPnPnMAqx+W7Gez4nFLAbzvX2dwIG8MZaMACswBqqqXy37fajaDCcMHY8APEaPR6K4PQXAPIXYj2BZiO4JtIHYj2AZiNx8Jm8wjdwG8mk5hlYKp1VYLwbkCoB97dhk4McAsYaa0J0n6c/c5PZ3C5PMU9EcR0dhrNWA4JJG4VgtQCqPhEBaAnk5htaYqf7EIJAn0ZEI/UyqdhHXPIQH6LWK+TLMIAjJ2gAJoa88H24w1onI286AAS+rvSwE+w3+WR7jN5zS2wNFCNhqJIPhoOGc3AsEGELsRbAuxHcE2ELsRbAOxm1vGpkJwrrVWRRHFB2uE4JAkJMC2hUp7NklwTghuPoeKY5hSiarqwyEJw9XrCE5PYfJ5mrfu2nTn47Gfm24LBdLyms9JKM6dq+UZ6g+ALSyR2S2i1Wqt/2UYpqJvLAq3ql99lagccL5/PUkWv8e/d5kkX1V34whsuQxbLELN5yTIMJvdzEkLro0L7UYgWAOxG8G2ENsRbAOxG8E2ELu5RWwiBMdxAwfIlcpqIbjM/zcd5exnmLuYBUr5Vl/fw24M1HRK+2FKe68HG4YwuRxR2isVoFKh7ysFPZmg1WwCQUA0eK29ILbVmrYdxzQj/YHobkkF/bYRxxf3argZ5ud60JczX0s9536m+mX0d67au4wab+tcVT2OocdjWIAoI1JVFwgEAoFAIBAIdh7nKtSr4ATbfCW6XKY4ZLlX/TqUdlZmz+XS6ntmtjnmc0oIBAHNNp/PaZ75cAhMJkRvD0OKc6IImtkAuRwdLxcl3QQshCH0YED95w+gcs6QAP0WMZ/P08wRcHkGatN+9U3p79nvZQN8ppxovdCrzuIMmE6hrYUJAoApL4KPBqF/CbaB2I1gW4jtCLaB2I1gG4jd3DA2EYLjz8QxEEXk73PxMEtJB1KK+6aU9myveyYgX9XDDmNofBoA7XrKTbUK3e1SDNRspsJxrsqOMIQtFjEHUraxMUA+Tz3p3S4Mf4dty+3jPkMC9FtEr9dLg+51gfM6ZPvVuWIOrK+OZyrvKyvt2axSturO282qzReLMJmqOgAYqap/NPR6vbs+BME9hNiNYFuI7Qi2gdiNYBuI3dwgloPrFVBRBOtU1AHQ+LRVQnC8vcuq8Mvb5u9nKe1MswcooI5jilmKRaLWT6cUVyQJ9NkZsXlLJSggFY7jvvJyGYhj9E9PidIOAIUCVBQhGA5hwxDazVbHdPpgYpWHcRY7ioODg/Q/2bnn3Au+3De+Dvy9df3q62aq88/gsk4Z4TgA6UPIWS84aj0fH2jkgSmXATcbUXrVbx8LdiMQbAixG8G2ENsRbAOxG8E2ELu5AXBhzlG8V4JZttbSfPFcDrZSoQB2uVedae/cJ34ZuK3WfZ8p88r1f3uqO8cjTndLOaE3Wy5DzWZQoxFpYpXLFJy7aVM2DInBWy7TNqzFfq1Gx1YoEB1+NCJKv7WwsxkwGtEM9E1jqx2HVNBvEWpdlXyZop6db37xBi/vV18zU/1cpf0i2jwuqKonSdqrzj0kghvFWrsRCC6A2I1gW4jtCLaB2I1gG4jdXBPLKusr4GOLKEpnmzt//Vyv+nUo7Rl6vQ/4XaygjKHP5/NUFR+NPMtXD4ewxgCVCsUjSUKBO5D2xnMfvPudOjyEHY2g+n0qJCoFBAEJzM3naU96pbLlhd0tSIB+i7CXKQkyRT0bTG9IK7m0X33NTPVL6e8rROVYHXGhVx2gXvXZjHo/CoXNhCQEl+JSuxEIVkDsRrAtxHYE20DsRrANxG62x6VCcBxsK0XFtHyegl1gda/6BhT5c/vnomAcA9ZSIiBJfIDvtbHgYprJJB3TliSktA7A1mpQAFQcU3AehlRkLBRSunwU0flUKrBRhODsDJZZw0yPd4kClEoUnG9S8LwHeBhnsaM4PT3d7INrgumN+ygu61dfJyqX/dlyFX9JVM4H80sK8FxVV5OJ/5lU1a+Hje1GIMhA7EawLcR2BNtA7EawDcRutsAGQnA+eN9ECI6r02G4WayRVWlHpq/d2jRe4eSA+4oNAqLWc3wxmxEFPQxhymWoJCE6ujsvniDF2/YJBkdpb3/4QLFLoQA1GMC6ijxmM6hqlWamJwnt4wEIXEsP+i2i0WhcrdccSPvG18033/T72X513saqmeqciXMPBfd6LIBntitFDyiw2EtvLfWQlEpQTlhOzWYPZhbhx0aj0bjrQxDcQ4jdCLaF2I5gG4jdCLaB2M0Vwern60aecaEtDKGnU+oDd6PKsiPVfLDO/ef5/GbBeRxTEJ0docbBudvGQuygtZ91bnM5KJ5ZPplQYa9UonPifvEw9JR2FoHT4zFMqUTU+U4HajhE7fCQ+ty7XWA6pZ51pYBGA0mzSTGP+91DgFTQbxH5fN6PHbhSrzlw+Xzzy3BJv/oqqvu5ny1X8ddV+oF0+/m8n6vOIxJsGF7t2D9x5DftAxIIMhC7EWwLsR3BNhC7EWwDsZsNsUplfdXvnVCaHgwo+M2qp3MQzbgOpZ37ypWibYRhWlkPAjoWlyQw3D5rLTFsjYFpNn3V3G/XxUlc/efCoqlWoaII+uSEquu1GvIAcHbmRe1QLALVKkwYAm6Gug1D6nl/AJAA/WNgqdf8SsH2tmPaVm0DoMDZVcHhAue19Hf+7KrEQvZ7TGnJ5dLAXSmadeiOW43H9JBtSqcRCAQCgUAgEAg+NXBwvS5WiGOqYOdyUKMRYC0Mj09DSnfP+u4LwfZlWKbUc4WcA3P+mVK0Hxcr6OkUxsUCVikq1CkFU68D8zklEpKEgup83rfN2jCEGgyoOFmtQvX7UP0+9Z6HIam2x3EanJfLMPU6dBxD93p+PBxmMwrcHwAkQL9FdDodonBwNuc6wXY247VNnzqDK/PZ7QAUcK+aqc5UlXWJhVWz2JlWkxG+s/k8LSjzOS06TgxChOXOo9Pp3PUhCO4hxG4E22LBdoxJp3nIGi24ALLmCLaB2M3FWBVce2Sr5gD0YEAzxDnOWOoVX/uzi7CUHOBRbT4O4f71ICCKOgfZQUDBdJLAWkuFOVfRV44mD2tJq8rFBAAxeHW/T9V/rYGzM6jJBKZeRzCfw47HwHSKDqvCN5swpRL0cEgj2Yyh7Q2H6fE/AEiAfovI5/OIh0MSOlCKBBCYGnKdYHvbMW3rtpMNprNU90wFnR/Ktce7LCpnbaoQn62qF4t+scBkQgmDdQvRJ4p8Po/4gSwwgo8HsRvBVrAWeaUQu3cAtE7fDbx2S6AuWAFZcwTbQOxmDS4LpDNVc0wmRAW/SAjOfQfYfELUQnLAGD/NCcx+5eDdaVlZralqXihQb3oQQM/nKU3dWlhjaOJTLgeVy6Uj2ZxwnJ7PYWo1qNkMwdu3MOUybK0GHUWwkwmpvIch8rkcJm4Wuur1gNnMFxzVaERJhHweaLW2uPi7B+Ea3yIqlUqaVdIaajqFHo+pqs64jigci76xQAM7WFcFjyxgIbh1AnJxnArGXXS8WVG57Pg43g4rNpbLRIFJEqjplD7LGbJPGJUHMsNR8HEhdiPYCC7R6v8kCSrNJrGjcrnFKRz8XmBBUFmfBRnImiPYBmI3K5AVglsGF9G0pgB4OKTEaVYILoro30uUdmxaAGOmbBjSOyCOKVZRiqrz7M9rTb58HMMmCanFF4vQHJwPh55uz+2vej6HKRap39xpVDFtXSUJfbbXg3r/HnG9Tvufz6HPzvw7x5ZKqHzxBcULvR7FDG6KFMZj2DiGPTggevtodDP35I4hZctbhq3VgPEY2loSTXDOjh6PqVrNKopMPd+mKn4TferL2wIW+tWzPSdeVI4zbOvo7xeNj8tW1QuFVHxiNoPiayHCcgKBQHA9OGVcDycgeiUs65Js014lEAgEgkUwZX2dz56lm89mUBzsLgvB3TClnVXbrQvWfeXexRgqilIR7PkcRikafVYsenE4xDEF+O5nypi0JbbfJ/q71lDv3tHvGg0EcQwbRSR45xIDaDRgKxWg2yUauzEUX0wmdDz1OvWjDwaws9mDYXtJgH6LGHI/RLkMA9DDxXMKWTTOjSOzmerF1oJyF9HMt8GqfnUWiMiIymV7UoA1yYEVYnQLlXj+XhjC8rHPZlAc5H9Cs9W93QgEV4DYjcDDOVwelyRsF2wnG9Avv3v4nSCBugCy5gi2g9iNw0VCcFkFd6VICA6gQPUCIbhLxeWWsLANaykm4cJZ5vee0u78c1MuU485V7sd3V4DMFnaOzOIHTtAzWZQsxlVzWcz6HfvSNwuDCm+GA6pKu6Ceut+h04HQ+555/72fB728WOoJEHQ61GvOvBginsSoN8i4jiGcgZjczmgUKBAnamFYUhCCkwdiSIySEcxuVZVfLkiD1zPaNf0q3t6ffb4LkoOrBOVy1bnOdHATmYUpUrxn0AvpPRmCbaB2M0njCsG5Oe+Pp0utkg5h2+hRSmL5UD9E0uiCgiy5gi2gdjNJUJw2XU3jqHd/HAvBMfTk5bW5WuptLtKuB+LnN2HK6QxBd5qTXPK83nowQDQmoJxpWC437xcpu1am/asuySDqVaJvj4YwDQa/pD08THgquq2WISt1YjKfnICqzWSMKR33XQKW6vB1uu0zTiGGg5hi0Vf3HsIkNT3LaLZbFLA6SrMejymkQNap/3XwKKquauqKycAAff9rfsAuU/dZb8Uj0rYFtl+dcALSHgazJJIxdre+Ox2XBLhXM87XxfO5AF+RuJDUWlchWazedeHILiHELv5hOB6//wfbp/iP5cF53G88P3m/v7572fX6HXvDtYbQUqLFHw6kDVHsA0+abvhotmy3geQMkqDgJTPJxNSMy+X0+DcrcPnKO0cXG8SnDtFddaKwnxOauiFAu13KUHA7F9TKlH8EUUwSkH3+yTK5vx05fS1WBDb+/AABdCuAKlfvyZ6eqNBn5vNgNNTgIP6eh22XofudoHBwLfTNtw4Nzx6BFsqQfX7wHQK9PuUEGCleBcz3HdIBf2WYYpFIIpo7p9zolQU0ay+rECcUzpUXFWHc3jmc/pcVll3m6rFTY1py4Kr4XxMwEKVfWP6O1djMrT+c8fKPflcKcpS44VmKRAIHjLc6DMPDsg3RZIsJnZXTOG4EJepuvO7gJ1PqagLBALBIlaprGd/h7T1U3NAW636SvTKXnWmtHMAfwmWK/c8p9yWy+n67fahooiq0WFIQnCTCSmxj8ewxsCEIbRSMLkc9GgEU6mk/jrPaJ/NaP55uQw1HEKfnsIUixRgKwXV6dB5VSp0XrUaBf8nJzQ+TSmvWI/9fdh8nqrqThwOWgOVCsVUYUhaVg9EzFQC9FvEbDaD7nRgy2USOwCI+gEQjSOOyXi5z5odJvfwGQ5uk4Qq1UyLZ/r7tmPWlgP9bce0ZbHUr844F0RnRObOOXBrROWys9iBdM66d1iTxIvZPYTek9kDoecIPi7Ebh4QloXdrhqQM31xw+9vbDvLgfpyoL8cqN/Eu0Wws5A1R7ANPjm7uUgIbplqPp2S6Fp2fNqavvILafKXHYMxvk+cxyH75IExFAQbQ0JuxkCNxzCFAvRoRD3lANHuXRxjssr83CM/Hvu55/rDB2A0gm21gCCAns2ATgcoldLxztUq1GQC3etRsO0E4xAEsAcHmOVyUO02bBCQyFy5TDFUktA5GJOK1D0AyJvzFtHv94H9fWA4hJ5OKdh0/RV6MgHgKuzW0oMQRV7lHTzqIEl88Ks4SOWqevZh2qbPfEXl+kYC3Ey/uncyo4gE35ZF5tY5cOtE5XhbyFTVOSGwpDJ/Xx/Sfr9/14cguIcQu7nHuK7S+orvb6zgiy1s5zJV92WxUwnUHyRkzRFsg0/Kbi4SbcsGxdZSP7W1VDXPCsEtr69uPrmnqF/1GOZzqDgmyjozXjMaUphOKWiuVKjCDvK3uYecReK0C9qV87V9S28UUeAchrBJAv3uHQXP+/s0Gm04pNFolQqUtUCtRkH86SlR74OAqvQAUCjANhpQkwmGZ2fptstlqMmE3n1hSGJ0rtqODdkEuw55Y94iDg8PcfbyJQko1OtEdWfRuGLRj03Q1lKFnavqQUB0dx5RkHmwTeahVdbCJolXSVwp2LYJbnJMWxbZY3cUS8VUSw7UgYv3uUZUzroM4MJ3uVWAd3+T5/IRcXh4iJOTk7s+DME9g9jNPcOyNsc1A/LrJFcXbMc5cxslOi8Ti+N3iwTqDxKy5gi2wadiN2tF25ar5hx05vOXCsFdl9KOySSltC9rRmXHuGntldL1eEytt0kC6yreejwmJXfekZtOpaZT39+u+33oXo9YxLUaFSaHQwrKy2UK1ut1WGsRvH9P/j4zhoMAqFSoWj8cAlpjP5/HGWudzOeUGHDnYsdjKl7m80Cttt0N2zHIm/KW4R2W+RzaPVQ2CKCnU6jJBNb1diBJoOdzmDAkA4tjMnhWTzSGKO88h9BV0FmYzVoL5R5Y63q1r9xnvqpP/aYq0cv96tZSXwn31zuKzdpjXjVCbtXxKkXbWhavA8Q5FAgEd4drKq1f+/sXbTcr5um2e24KyEX7W54aclmgDjyIdiSBQCA4h3XBNeATlT4onkyAOKaAmSvRS59Z+O5VKO0sRseU9skkDb6zyQNXvVdKwdRq5E870blgOESiFMUg1SoJwRlDFHxr02Ibjz5zu9cfPhD1vdWCCkPo0Yiq5oVCWv2vVqkHfTgkdrGr3CutSUBuOKQg3lHu0WgAZ2d0LRwt3uTznhKPWo38/OHwQQTpEq3cIoxTOwTgldotj1QLQxgQJUSPRuncQaUoW6W1n0MInoWYJNA8k7BQIKMNAhiek8gKilxVZ8PeZgzOMsX8JoNbduZ45rmj7VtWBL6sN34VNT9bVefgnKvqcOJ1WYbBDgvLmQcicCH4uBC72THsakC+QjDOONXgc8gmVjdJ2l4mFrfE1pJA/X5D1hzBNnjQdrNOCI6D9sxYM+2KdF4IbrmyzlgOti+DW+N9lX0+h45j6hOPY4opMuxWPRzClEo0Co3noIME5HgUtHX94daNU7PGpGOhecqHG6Wmul1AaySPH9M59nrkl3Nw7vrQ1bt3dKy5HO0rCKDCkILu4TAd/2YMrNYwoxH57UlCCQ0npocgoGB/OgVOTmD392/iTt45JEC/RZydnVFPhTFAs0mqhS4wZNo2WLQBoFEGcGPVgoAyaxy4a03/ZrX3ySTdjquqW65G87zCTFUdxpCRXzXQXuolBG6QMu5omb6P3s2N9wmIy5y4daJya6rqCyPhsiJKO+YgnrkMoUBwFYjd3DEuU0q/7e9fZbtLa95GtrNCF2Tt2nlZD3q271IC9XsLWXME2+BB2s264BorqubTKbChENy5YPsyZMdugir0VmuYUuk85X4ygY4iqponCTCbUQV7PocyBno+R1KtUiFxOqVtuKo53Eg3NZl41XZ9dgaMx5QIqFRoRrobLW3yeWilYA8OaL8fPniBOO47R7kMTKckIAf4UdTWjU/rdjpQuRySeh16MKAqeqFACvNnZ7DdLp33A6ieAxKg3yqazSb6lQpssQg1HEK120CxSNkjlxlCGNIDkSTUy2EMTBxDu/5zw2MKmB7vnBrEcRp0TyY0ns0tCiur6lzJSJK0T/sqDtGaYPjGqtBa0/nl83SMkwkUQL35nKG7aJ9rnEdfac9W1fkaMB1+x4Tlms0mut3uXR+G4J5B7OYj47qjz677/XXYICBfxjnbsZb+rFprr1JVv6wHfSlQB7CSFirYTciaI9gGD85uLgiuF6rmXFxzFWlPL2eW7NJ661lIm6yJF1HaeR+8HWuhej3YfB6mViP/2BXw1GQCC0DHMRJHd4fWtB1jaE3nUXDjMUwYUnzT79PotUePoKMI6PXoXVQsUkKiXKZRasfHRHVnKj1X4oOAxqa52AVKUdHOqcYDQO3oCH1Wec/lUtbx11+TiHa5jKTZJD2vBwAJ0G8RuVwOptEgYTitgb09onQfH1PmqdUimrurptt8PqXARxE9RPM5BZNu5IByfeo+m+b6q+FEFRRn7pxTtFxV94YPUGaLKSpXqYhfZx77JggCEn0AiJozHsMARGm5jP6+TlRuVVVd6/N0+B0QlsuJgyrYAmI3t4zrjj67YWE3jxsI9HM8ZicLpS5nGW1aVb+sBz1bXdqBNViwGWTNEWyDB2M3GwTXC77ndEpB5WVCcFtQ2tUSpV3FMYm4xTEdR6ZSr0cjmGrVHxePLdZxTAzdIICt16kP3bXacqLBOk0tlSQ0r7zTAUYjoFCAaTapas7bdEzg5OAAyloEL1+SL58J/G0+T+JuABUli0Vq+41jquhzYqBcRi6fhzo5Ia2ucplU5Y+Pye9vNmGbTdrvZEL96vccEqDfMvRgAFutwtZqVBWOIqK7uwyWNoaEDdz4NZ517megO9V379g5ATjtFgWbzy8ElyqO6btAqq5o7eqqehDQZ7gC7ygrG+O2xrRlkc9TFd3NYVQAPZxBcPE+14jKLVTVnVO7IKq3LFgnwnICwaeJWxh9tisB+bn+dmtpG5nWH8+0CsPLtTsyidELq+ob9KCfS6ZKoC4QCHYN64Lr5Z9bmyqbLwvBZQP45e9fkdLumUizGdHps2JsjOGQWLqNRtoGy+8Tp5lli0Uo1xJqSiUqYnEgzRV2rYHZDEG3CyQJCcEFAQXrXBGPIuonf/wY6vQUqtOBabWIMTwaUZLCGGAygc3laK0vlxEMBrBOiA65HL2H6nUKuqdTYiEXi9CvXlFgXygQpZ1HwrXbsE+fbnVLdw0Sedwi2u02qRImCbTrKzcHB+m4tXKZMlBRRGME8nmoeh3GjVqDG0VgtKbxB1FEAnBMjXdjD/jhtIUCOTyzGfWVKOVHt3k4R8yy+EIU0cPkHmwA9CBepSJ+W2PalveRrapPp3QO+fzl+1wnKreqqu4YDJa3B1zunN4w2u32re9D8PAgdnMDuM7oM+B2hN2uG5AvJwqAtL/d/a59ckLOjlIpfR0UpGM2W+wpv4jBlE2CXlRV34TaztuRQH1nIWuOYBvcd7tZGVxzNT378yQh0edcjijtwIW96msF5lZhucqeJBScFwoU4AMLSQLd7xNN3SVcLUDBN49ANoaO0b3DTC5H4s25HK31TJnP5xGcnsKOxz6mUdMpwFT0QoFU2ZtNqDCE+uYbIIpgHj+GHo2Iip7LUQDvNKMUs2MHA9jJhApwQUAj3Uoln1jozOewAMIf/5io9aUSVc5zOaLYTyZQBwcPonoOSIB+qygWixg9ewZ1ekoGphRVzI2BrdVgrYWeTskBq9XIQTo5gS4WgWKR+s9dpgpO2RBxTEILcQztesptECwE6igUYIB0cQDIyIHUUUsSKK3TuercQ+Mq02o2S8e6bYpVY89uI6jNVtWdmMXKKvgy1vXRr6iqY9X2mF4P3KqgUbFYxGg0urXtCx4mxG62wHUD6uV+75sIIq9bec8KYC4fF2/b6Zqw2E+xVMLICZH6w1janprNUmHS7ESMdee8qqq+/D5Y9c5Y3t5yoL7DEzg+NciaI9gG99Zu1gXXzNLMrNNqOqXAtFS6XAjumpR2NZ9TLMDBefb4plME0ymSRiN93zkdJhVFMMbQsVerfoQz4CjtLFA9nUJZC2Mt9OvXFNyXyzAsBOfeI8opwsePH0P3etCvXsHU67CtFoJul+jqUUQK8K791lQq0P0+xT/TKVXWrYWp16HCEOh06LOVCgr9Pianp3RNWc9rPof68IGO8/Fj2MGAvlOvb3uXdwYSoN8iyuUyJq9fw1YqMPv7RCVnCogxFGgXi5Rp4p7zXA52PocaDKBddklXKjCOLgKAKuWFQkpRUYoM26m5++pwLudnFarJJP1uRkFegcay8Zgyprvw6AQdRRTsl8tXO/nbHNPG0JquH5D22DtFSM4gXrV38lwAz8J7XFVnkb5bFJYrl8v38+UluFOI3WyAmw7INxBguxTXDciXzylbwbGW3g1ZZkAuBxSLC+ddbjQwOjlZvX1ObOZytF46LZSFsZi4YC3ctKp+WcV8WftEAvU7h6w5gm1wL+1mVXCdrZqzf7ssBOcSo+t61beitHNi0xWpwPtfThL0+7BBgKRe98epZjMqDrLQtFNC13EMUyz6tZ0DZeUq5Wo4hO73iQ1QLtM22m0v1KYcVT159Aj69WtSc3/+nIL7wYCOazym7WpNMYVSCM7OPNMYxaLvJ1eTCVXiKxUgSRB89RXKzSamhQL1sNdq0L0ejV4rFoFmE/r4GMbaCy7e/YIE6LeNyYQMLZcjuvrREdE3Tk6oijGdQhcKZPT1+qJDxUFnu01UkVotpWG7IJpVyVEqUVXdfV9FkX/IrBNdY9E5zGa0P3aAWLzHKcdzFk8FAQlGcM+IUjCFwtUC0uVxO8DtVJ9zblybawHg/hdMJpR82KDKs1ARWlVVd+wCgKo4WdEj/z2hYAoEu4Prji5brkbfhNL6dQLyVXT17LrjRuUs4KprdnYfy8fl1ksfKGcSvwAuX+M3qapfFqhzy5IE6gKB4LaxLrheUTXHbEYBcLF4uRAccD1KexxTNZrFobPrJAvBuSAYrCsymy0IS3PbqLIWJp+n4JxbXOMYejaDCQLod+8oCVAqwbI4m6uwW2uhhkMkrRZ0kkD95CewlQrsZ59Bt9vUhmoMjUorlYAggCmVqM13NIIdjynA1hqoVokiPxj4Fl8MBlBnZ0TPr9V8268+O4OJIqKzaw31/r0/Fnz55Xb3escgAfotYjAYUOAcBPRgtNvQuRz9rNGgB6LfB4ZDopVzD2ClQpT0KCL6hqOXoNMhMbdiEapQSKvqPOebKe8uUOXFAmFIdJAgSOeLxzEFr65qzBV3v+jM5z6wXaiOTCbQWpPgnHPKNsKqPvXbcKzYAXTn4sdYuL4W6wTmzmGdqJwbgwfAV6Esj8twvZgre9mvwRYYDAZbf1fw6ULsBjffr72p83SVbQKbH9NygiEbzPPvptO0gh4E5ARdJVFoLQbt9mKVfVl/Y1XykROf1pIuiFP1haMxXkhH36Sqnq2Yu/arhW0tB+o7MibzU4KsOYJtcG/sZlVwnQnYvW/IQnDcx82to+uE4DjY3lSYOVtl50KbtbT/5XfUeEzU9VrNr4vKia4pp02lo4go5PM5JRK4sMWtsBxzzOcIOh2YQoFaYgsF6F6PGLxa09o7n8Pu71MwPhwCT57QDPV2m9bsXo+26/5YpYgW3+ulQXiSwB4eUgxzckKxRaEA+/49veOKRaBSwaBUgu31SIxOKWBvj6ry0ynsdAoVhkh+/ucfzHtAAvRbhDEGGAyASoUC1EYDNopIKGE8hioUaA7h0RH1+PV6ZPDdLgWThQIZdLlMgfpoRAbtDFJpDVWteho2eAxCklDFPp+nSnIc08PgRhNkA3LFVXoW/mGniEUcnBPoR+Dk81RV53PjyvWmD8RyIHxbjtXyfnI5Ou5N+uvXiMqtrKov9WJapjNdIwlhsg65QLAhPkm7ue7oM2AxML0ppfVlsblN2TUr6Oqsro4kSUfI8IzyIDhHV78Uy0kMZkatOO+NNEWUSnVPHL1TAekkkitU1Veum5dVzPn3HOhLoP7R8EmuOYJr4z7YzcrgehXNPY4pOM/l0gD3IiG461DaWSQ6ox/i10JjoEcjYsdWKn7/ejym3nGXQFVJAlOrQc/nFHhz1dwlW/VkAmMtVKdDidFSCapQIPHp8RgolaCjCNa106JSgXrzhv797JlPEFjWOqlWYfN52oYxUN2un8HOxUNUKr6IiXod6HaJZaw1re+VCsUuHz5QLJTPwzab0J0OjGsJxqNHsPv7CP7e30PSagH/yD+y/c3fEUiAfotoNBo4iyKae57LQbValJViWgkH6o4OY1st6usYjdIK+HhMveTFIrC/T8H3YECGnyRAvw/FvS6c0WJ1XqfYbnI5KCcwp3o9+nypRBkqF3giinzlXLGSLwffXHHncQ5a02fcPHXNYxeytPlNsOxYAbdDf88E3EgSqv5buyigt+qY14nKLf0cQKqK7yrvWRXPq55bo9HAybp+UIFgDT4Ju7mJ0WW3obS+zTbX0dWdiA8AP/oGQBp0snDPtse2Iolxqe0s939fJMSZnbYxm9G/nWYKcHFV/Vzy1u0bwOWBOAf6Eqh/NHwSa47gxrHTdrMquF5Fc3eTj5Tr3fasyYto69tQ2l0QzppTrBm1sIY7tqwplynGUIpiicnEC0KrKKIqtqOcG1eg8/5vFEHP5/R3v08BdJLQXPLBgEauaU3XYTqlwN214NpGg2KMfj9NIgcB0c+LRT8lSp2ewjoxO1ssAqUSKbH3etAsVOeq5pbjFqcsr9pt1Gs1nLnx0jg99ePYki+/RBBFCP7W36IedKG4CzZCFNGc8yQhNXdjgP196hlxvedqOgWGQ9jJBLpYJOMNQ98vAmNI5XA4pIey0YCBU4ns98kxGQygAcqIZSsqTqERTpDO94OMxzSqDIBqNFK6DjuD2d5LDtQzohTKGO8A2SCg/vcoojEHjsayMc17XR/4TfdzZ2n2bj6k1Zpo+8DFVfV1dMxVVXU3qo3PY6P5wAKBYDWuO/rsNpTWtwnIV9HV3bSI5e0qpdK+96swlFYd2022Ei0HyRet8zxtw9E/lbWUHAUuHtWW3c+qqvplgfjy729DoFQgEDw8rAqgV42BTBLfNmkqlcuF4IBUfO2qlHbnc1trqQCUTdAuFZp8T/x4TO+aOKYe8skEiROjtm7GOVx1HAAF1EkCuOIgzyU3SlHBsFqlAJsFqYtFqMGA1vHHj0k4dDSinvjZjKZUFQoUYLNo3vExnU+xSAzfWo3W7ZMTKloOh6S+zudZLlPMMp2Sbpa1wOEhcHwMnJ15Fpl5/hz666+hf/IT0vi6yI+/Z5C31i1iOp0SXaPfT7NXlQrRzZOEjJ7HoxUK0ElC/ehaQ5VKZHzFIo1DcGJwylrgwweibFcqMI8fUwD/4QPtdD4nkQqlgGZzwSFU8zn1keRydFyuf0R1u37Mgs3nvYI7gHPCaAvK6VzlB1IVSzdjUVlLFBd2ljZZlD7WmLYV9HfjFlg9HlMFfF2Val0yYV1VPatwnA3mL0hETKfTmz1fwSeBB2M3161wL1O4b0Jp/arHtKo6vryecKXcBZPZ47WbBuSXicZtiCvbzlXEPx1jy1fgndYKtKb3GS5IyF5UVb8sEF8+RgnUbxwPZs0RfFTsnN2sCq65SLXkg6rZjALRfH4zITjezjaUdleg4yq4LRYXPqdnM/LZnXi0DQKiuRtDAThA/eYcnOdy9H8WZXM+r5nNoFmvKo79LHNwQD2dUoDsgnP0+xRAO2E5jMew0ylt8+AgXWeThOjqnQ7FPk6Dy1Qq1Kbb7QL1eipClyTU+lur0fuh36dW21wO9vAQ0/fvgW6XrkmlAntwAP3LvwzV7SJ58gTaMYaxa/a1JZS9h5L03/ve9+wPfvCDuz6MS8HZJn6gwVVwgMQNplN6GIpFMnSt/YgcNRxSFSGfJzV19zvuQ1TWUrbLUTxNo0HB9NkZUV3yeWiAsmHVKj0YTtwM1lJ2TGt6EKdT6innmez5PM0ZLBQWA2Welwicd8amU2hjqHfFLUQ2iqgy7X62FYV9SbDt1pCpgHtRDWvTFoCLHN51x5jdplKrr92K7ypHTxIIroJ7azc3HZDfBEPlqlXo5WPg72bPw4l58vYVQOvBVda2Ff3jN7EuXtt2uA0KG7KfeGpIHNN7LklIAHWTe5fd1yqHet01uez3givj3q45gjvFTtnNquCaC1TZnxlDrFWuPC8Jwa1ctzh5usl6k6W0K0UJA6V8r3h2+2o8puuXy9G1dEU1NZ/7gpByKu6Kx68pGqPsq+ZRBD2d0jg0gOIFY0ghfT4navl8Tp/lCnsY0ji1RoNiCy7SjUYk9lavU/zCffKvX9M1qFapQOl0tdDr0TtiNqNqv7WpGFypRPdkPicKe6VCP+eedGNgmk3oKEL4q7+KpFAgin0uR98BkDx/Dvzsz25w83cD3//+9/8Ta+3vWv65vKVuEQcHBzj75V+GOTggEYR8HmpvD2Y0Isr6ZEKVbGPIwIOAKOg8joDVGpOEHkSXPbNak2NXr3vRCP3hA9FtajXYw0NKBHS7VLUdjaDd99Bs+uyaMsYnAozLbukkgZlMSGVxOKRqeamUBudBsEjhZgepWPQiQXY6pf25MQzcR6mUgo3jzR0xYLVg223QV5Yr4HyMTM/hasyqhXadqNyKqjr/2yc9VlA5Dx4/xsnZ2c2fo+BB4+DgYHf7+rK47ugzVzVeCHCvuyZc9ZiWP8+VcEZ27A1XufnvrBjnVY/rpkTslnBt27kq+0nrtAIVRZScZgEkN6/3wor8clU9O3Fj3buC1+Pbfpd8Qrg3a45gp7ArdnNOCG6duNt8Tr54LudHSl4oBMfb3vTdlqW0s6K6E2M25fLC5/Rs5v1wXgvVZEKMVWuJlj4ep1Vzran9NAzT4NyNOFNxDFMuQ/f7pNDuqtWoVolWDkC326QIzyyDep3Oz42DVtMp7KNHaQtsklAM8PIlBfL1OhURXQ97cHKCpFKBOj4m5rCLR+Aq8ohjGr8GwD55Qppbx8dQuRz29vZwqhT0q1fAV1/B7u1Blct0bqMRtQ1zkP8AIAH6baPTgT47I+M7PKRKdz5P9AxjiPoxHNLD5mgffkQYP9yFAlW4+336XLUKvxy4sTa2UKA+kF6PaCPFItHfraX9s6IjKzM2Gn7kmDIGqt+HCkPqGcz0faj5nFgAuRz9jivBfGxLDhK0pjmFQDrH3RgfiCqmfbu/wdT4yyouq8a03dbc8Wy/OZDOhTcmnau+KsFwgajcyl51Xoh5n/ySyCofy2x1wX3HdUefASv70K9Vf1kVkK87pmUaOY9vzDpehcLicxpFi9+5ror7fcKmgnLLn2fnjlu5xuN0lNs6J3dNr7oXN70oUN9EYV4gEDw8rAiuuQ3m3Ei16ZSUz90MbwAXi73xtjddUzLb4oBaLQfUAPmeblKTZ4lZCz0cUqXdaUgpY2AaDb8NHUV07I5Bq4dDCoDzedpnrwebyyGYTGBc6ysmE5gkQdDtwuzvU8We33GuV91GEYlbP33qt23DEOr4mMTgDg/pveho7XoyAaZTJGEI9fYtFS37faKzu9gCcUxxTrlM9PX376mgmMvRO/TgAOpv/A0qmj19CgNi6qooIqZwGJLWVxgCn322nW3sECRAv0UkSUKiBpMJjR745hsKTJ88oQeBZ5fv7ZG4Wqfjq+UoFtNROuwQcv9Jr5eq5eZy0HFMAXihALRa9PnplKrqWsPu7dFDPxhQ4F0uA70eVbnzeRJ0cL0najSiXhdHG/FKvHFMPfLuOwhD+hzT71cFztwPYi2NaHBZQaaMW2OocjKZUI/JJtTDVZWa2xJdy/abu8qXdSJ7vBACaypF60Tl1lTVs9cuwYrxRkLLFFyCJBsE3yVuYvQZi6UBN5OoukqSIPtZDpiz+1811uymVNxvQ3NjA9yK7VxFUA5I18ZcLu07ZBYZU1CvWFW/MFC/7PeCS7Eza47gXuFO7WY5uF5XCY9jak/VelEILqOsfg6rxrBdAF9lhxOR0xp6OqWAOisEN5l4gU1ug8V8DjWdwmjtmUemUIAKw1TE2VXIAdDnXf+2aTapcMfbVAq22fSz3DEYkH+/t0fBcLFIRcEoohhiOoXd36d+ccBriQQ/+hH5/E+fput1uUyxTRhSDBKGFLhPJhSvcKvAeAzM57CPH8MmCfTr1+l1LpdhZzMk/96/R++FRgOai3+lEvkJ1kK9ekU/eyDruPSg3zL0j38MHBwQtXsyoZ6OyYQM/fCQgudymZTEo4jGnI1GabW8VCKDdtQX3/8SBOS4RBEFkvV6Os88lyOqRxRRUD0Y0APYaNCDMZ36B8UA0Pww1+uk8OhGIiBJiOLujF1NJt6R8f3yrgrPfwO4uG/c9ZYgSTxFx3/GutFwVxGW420a83GC2My5eYGjrOryOsf8oh7NbK86sDogz35GquqCXcJyoLnNc3hd2vsyslMogIv70jm45mPIfnbdcdzkWLVP5VlemgyyEXhtd9dau77MtSKeWazoVb+QfZX9/ANx8AQCgcOK4Hpd4lDNZhQsFgqpEByv+WvWhiuNdsxW2bPvH2sX6dmzGfl9uVzq2ytFiuqchHTFIlup0N9cNc8kNNVoBNXp0DzxXA7q9JR0qtyUKTi9LGb12nqd/Fv3xxaLVKkfDolpe3REv+f9dTrAmzewBwdUANSaWMLWIuj1kChF+9zfR3B6ClsseiFsqxSpspdKsI8eUTA/mVDw76jvePUKePsWan+fqvaOhWvLZbpucUyUea1JQ+vzz4Hf+TuvbiN3BOlBvwO0Wi30kgT46iuqlDcalHVicbh+H+r0lEQcXrygTFe1SpT2Wo2C+W6XAnqt6UHSmjJh/PCUy/RQtdv0APMs9fEYAMiAczkKKvt9esi0hj08hJ3NSCTCGKrsOzV3VCqkuqs11HRKFXStSX2xXKbFy42AU8Ys9FtydX2tWnkQUILBWk+BVzxCoVikfcItkEFAD+9lztLHGtMGnJupbgGvhukp/1gRYC9XeLIJjKWqerPZRKfTWa8Sz98HHkymUHB9tFotdDqdj7Oz644+u2ml9RUV8pVBFgfJ2c9zEJ7Prw/6tkkgrBJ029Hn9aPYzqo2paus7ZnRmGo2S8e2cU/oMi7oVffMpOx7YhU761NKoGyBj7rmCB4MPrrdsM+0rLq+/HwnCfmeAAWzy0Jw68Qn3dq00VrBFfww9FVzVlj37weummd0TGyxmPZnBwH5yUkCpRT55a7QtkBpTxLo01OaZ+6CXzUYAEFAhblm089QRxwjGAxgjo5ICV5r2jYA1W5Tj3uzSdeFp0+FIdTLlzQi7fPP6XqFIcUdgwHR7UcjaGuBZhP65IT2CUqaKhbPPjwkdur796lGi7VAPo/g7/99SkQ8e4Z6qYTe6SmUo7PDGOD0lK5LLgcdBMBwCOPu4X2HBOi3iDAMYT/7jITYJhMKyE9OKAN0dETZoDimYPfrr6GVAh4/hq3XYWo1qqqXSp5Sgm6XaCKFAtEsg4Co86x+mMvRLPX5nB6SRoP6PoyByeWg9vaov2869aILpl6nB3089vR6Ox7T/8MQqFZpJEMUUdDvxsPxfFvN8xanU1JqH4+hw5AU4l3ADeA8VVspug75PB2TU4PU1lICISNMd2HfdxZXFSq6DrLOJlfFjEkpudnxdMvHfVECI5dD6BY379yzwB5vZ1Xf5W3R/AX3BuFtskeuq7R+E7T3i7a3Lvh17SgLgXIYpjS7ddgmgbAcxN+j/nFvO5nrqniKxU2vn9sEwkvBNsJwYTQmgHNKxwtYtWZyW9eq/XOLkgTqF+JW1xzBg8XHtBsvBOf2ubLXHLhYCG7dOs6U9g1HqHlKOycclaIgnceeAeRrRxH52PM5bdsxZtVsRr68E3DjcZOKxUitTSnt4zEFxPU6bLkMfXxMqutO78pqDTUe03o4HlN75dER1GjkFeJtFFFAby3MwQEFwG7ihhoOoV++pGTAz/wMJQhcHKJ6PRg3/tm0WuTDj0YkGOeSDerkhHrgnz+nOMb93xf8BgOoX/kVmMNDWtf7fYSFAlSjQecRx1AfPnhxPQXA9Pv0Xq9UrmQjuwpZXW8brCxYKlHWx42WUW/fUoW8UoE9PCSF9iAATk6g3ryhCvrREfW+VKvkhJRKqYjCbEYVnzAkaogTdNOuAm6MIdpJHMOyAqMby2ZrNVJPtBa6203nrVcqVJkwJqXQd7tEZ+dAPQigXVLA5nLUB6+UV3TUAC0+SnmBIJvPXzwDnKskuRxRV6KIVOSVon0WiySA54SXfCbzIofpqkJF22LZcXRBzAKdfd3c83Wicit+x9tXxqQLc3bf2V53cSYF18VNB+TXrR5vur35fHUi4KJgHFgUbwQuVhFnrBrFdk8Ccg9ORMznlBRkcVJXcVJKUZvTRcHvdbAcCG+SUM0mOJ3zbMOQdFes9eNDV9rrclUdLmnshOnO7V8CdYHgfmK5t3zVODX+3Hx+NSE4XFJVX3csLATnRNUUHMuVtzmZwCoFEwQUwHOhajz2VXc9m1FyknWgtIaOYwro3bHo42NgNoN58gRqMkHw7p33LW2zSZV3t95bHoOmFPRgQMmLYhFqOKSYoVaDabUoHgCtgerDB9izMxKCc981lQpgDAnLjcfUS//kCfWSNxrQbp221kK/fw9zeAhVrcJ2u5QccVOsoDXUb/0W7GgE+/nn0KMRzHRK/erVKmy/T3FVv0/Fx3KZqPbdLrC/7zVLHgKkB/0WobWm2X1sLNyrHUVEz9MaejSi/oowJAOsVGiBGAwo6wQA+/tEXc/nKYAejaiizobIvdyZrB/PM0cQpNvL52kxcOJsNp/3vdRqNKIFqVSi3hRX0WZYVjQvFinhwMcSx+TAlEpeEEi7GeJIEtonKx6H4aIDdJHIGy+m4zHNUndJAu9IRVE6ru0qCyRw+050tl+cnVw+x8vo6UlCTuaqXifervu+Umq1QyvCcp8ktNYw276YbqIH/Lq09yw26Wt3zJ1z+9xkv1ftm38o/eN8n62la+d67n1gy0KkmXGaajSiNYepi7e5pvC6f9WEavZdAqQ01U3sYZUGyDr7v21m1j3DtdYcwSeLW7cbF1wjWzVftaZkhOAsi39ydXvd+n5VSju/N5yYGxeOEIbp2uTGp5l8nirqrnVHzedURWf9DKWgtCZhOKd75P1ypYiF+u4dbLUK22wSvX069S1ctlymfvTplK7HbEYFPFdFR6FAf87OaM1vNqHyeQqACwXS0eLi4vPndOxBQHGLKxyq4RCmWqV3R6dDtHilqJe80wGiCPb5czq3ft+vo5y8wA9/CFQq0OUy0ePzeTo/0Pquz86o4h8EsNUqVLdLjIKDA6goggFgvvUt4Bd/8QoGc7eQHvQ7QLlcxng8TgNlV83lirF2PRb253+eFoX374GXL+nzzSbw6BEtNL0e9arXarCtFkyz6XtUMBzSw+IeNq5Io1ikAJ/VEkslmDCk78Qx7cNaaCfSYGs18Nx17Waj80OhkoSq6NYSXd8taIqr6q6CrjXNZ7flMqm+G0Oid+56WDcqQQWBr/T6TOJy9Zer6vU6TBxTBd0pQZpikXrvo4iuZxSl43jWLZir+h9vy8FeVf1mx5OvA/fgYymQDgKUq1UMB4Pzx7lquxHNEF4I+FexFcShfPAol8sYDoebfXiViNqWSuse13meLquQZwPK7DFnZ8ReZ/vLWKa4A/czIOd1IpvMcGsuj78BgHKjgaGjimdhXRsSoghqMoHu9YAgoKrFhrTOK4HX/avOKs9Ozcgqvs/nVH3i7a5KLizpe8BaX9E559QvM7M+8XX1SmuOQOBwa3bDwTU/l+uq5jwdIoqIHbTEgrxxSrsx9F2l0nnnvK5Mp1Swy+eh53Pyb4F0vFsuB+0o6FyUUVr75Kqn45+eUrX58WMap/buXToBql6nYlG3S1VzxyiwjQZVyo2hdtfZDHj/nirV1SqxaR2zSHe7sO/f07r/5ZfpdQoCGtU2HkMNh8QIPjmhAtr+PlX+g4BYw3t7wOPHNNbZJR68kN3798Dr18Bnn9H5jkb0fi+VqEAYRSgPBpi4MWwolxEcH8PkcjAHB3RPWQtKetAFl6FUKmEEGp+A2YyC5mKRHhQ3Gg2ZsV328WPYzz4j2vnJCT0otRr1bbiedPXmDVFBWi3YSoVUD6OIHjwXqEIpCtxzOXqIg4Do57MZORhaQ+VyVBkBiF7velPYIVNRRMcdxzRT3VHirVtgVBwD3S6xBMpl2DCk3hiXkVQu42a1psVnPoc2BhiNaEyCE7zgAHXt6DQWjMjl6LiShNTkJ5PUeXR0euUyhRfSUz9mnzqw4Dhy5SobeGcTFHDnXSqVMBwO14vKZbfrAgnlnEpeDHlO84Kw3MdiEAjuBGw3K7GiB/zKStXO2QFSnYWtn5uLKtL8u8lkMQGQofBttf2LzneZQbDDgm5rkT1nN2oTWqfXNHv9lgLPUqWyGKA7hV7/GV6D3fquBwNfdfLVm5vEUkJ143UrIyrntTvcyFIVx7RG5nLr13ymz3OvJU9GYSba8uc+8UD9wjVHIFiDW7GbbHDN68aq9xwLwVlLjKBNhOA2+P0CMvR6ZpkqIA3und+np1OYfN7P8jbl8mJVH4Aej2l8WpL4UWs6SVLNjSSBfvMGtliEef4cut+nSrVj1ZpKBXo6JX+f10ZHJ9edDvnutRrU2Rnt++DA+9pc4FO9HmyvR2JuHLiXSsBshqDTgZlMSOz66AjqzRuaSc7XajKB7vdhP/uMrsvpKdH4rU3ban/zN4Eogvnud6HevaOW21aLfpYkUN0u7GiEUrGI8cEBMXzfvkXSbKbFzzCkbb58uXnifschAfotQ43HWBid0O/Tg1ou00PAgVWxSLP/xmNyIH7u54gucnwMfPhAD1u9ns7g7fWI2lGpUHV8bw9otYgy78TkTBBQT3gc04PGlQGtic7iaDSWxTHCkI7NGKh8nh4SUIJBcSaOv8PCbo6mohxdR5VKRL9x29Vw9PhSiXpdtKYelH4fAKjnp1xeCFBtxjlacMyWe9WnU+gMHcgWCnTsxtD5XeSIue36qssmc3qvg6zjyE40O5BBsNBLjvk8HQfijmlt//6KPnZf/cmeT0Yk6dbnxwvuHjfRA75cZc/a6TZYpsCzDbOqOrf08O+uGvhdpaK//Nl7JOjmkU0qRBElgfl5VgqqXE7XhsuedWvp+yzU6dYWruB4h8cxlWypRE7kdArNyVKeFXyT4ITqVZlPnNgFFmnz+TwlkV0y048KXd5eNtHL+ifzuWeBeSwH6rKmCgQfHQvBMxc0VqznTBlfEIJbV2VncLB/FUq7Ezv2AsLWLhaHnE9tSiVSa3f92X4Oufu3BYha7hhPylXNmbmKTge616OquVLQp6dQ/T4lAcplqnx3Oj4gx3QKU61Cz2ZQnQ5R0ZWC+vCBromrRHNSUo1GUKenwGQC++IFHQO3Qo1GwGAAM5tRJX4woERBo0H+ZS5HVPliEfY73yE6+2hEcY8xFMR3u7A//GFKeT89Bep1ih+4Ct7pEHs2CIAXL6B+/GPYyYSSAVFEgnGlEsL372HPzhA/fkztwg8AO9GDrpT6NwD8EwA+WGt/4bLP35ce9GKxiPmv/Vo683s2I1G4MPSq5SgUvEF7UYogoN8bQ3TxICDa+Zs3vqKN7GLBdD7Xq2ELBRqf1uvRvrmv0M1M9z3qrkLhK+2OygiAAnrnpHCwp9iR5sWGHZgoooVlNiOHpVCgQN1aUna3ljJe3Lfj+seNMTSHcT6n86xUaDHkKh1X0LnSvq5XnXvhuQ8/ew25t3ATAaeP2acOpC8S1gRwAXWxWMTUjeJb269+UfWfeyoz+gQrndAM7f5e0ncFCygGAdkN46o27IJ635Jy3WBjVcDMs16zwSUrhV81OXaVgHw5OXAfK558vpzU5aQp4AXqlDv/S+8dU/jdPN1CsYipc3TOXUM3jtMqlVZGGNbS+uvoosjlSCzoNoPUbZlPmYkbnkZvLSWQM21Xa23IJUh90mKNhshWPfT3FP5dJRBcATdmN1mVdaa3r3r2skJwLMgMnOtVPwd+T234LmVKu0qSVH8ISPdhLbE/3TqjuWrOPejOJ9fTKbFWs0k/HguXz9Pn37+ndqPDQ6qOt9uUSCyXyQe3loJoTlo4hixPCDKNBhUEx2Mq/mXYmXDaI/bkhJKzjx4tsAdUp0NJBmMofnn7lrbNc+NnM6jBAPbJE4o/Oh1/TeDE5PAbv0FB++efQ3c6xMAtl+kaATDTKf18MgFaLahKBbn37xFx7zlvL5eD+ulPoZWiMdbWIvrtvx347b/9yuZ0V9j1HvQ/B+BfA/Dn7/g4bhSWqSSOggE3/1sNh+RYFAqUKfvwgf5fKhEdBaCFIQxpVIJSRDP/7nfJQfjwgR6yrDPh1OLVdEr7CUPYVouqIP0+VacqFVo0XIUaWtPPjaEAnHsTXaYNLjhnFXUWeePPKa56WUt0+3odejIh1sB4DF0qwcQxtKNysyKlDgKqgHOVo1gkJ/DkhCox1WpauXABalYN/VxVvVymaz2fUzWHew25au0qQXCj487RFRkrqtG3Sl3MVMbhkgmeym7t6qo3L/TL1f/sNVlVVZ9OU1E9Pne+PtnzFWG5+4OlAJWnJWyMNVX2rVO2ywFzNtCJ4zRB6CqZV36uNhWyewiCbtlzMOa8IGgQkOPE55Rl2qwCO7JJQo4qXItNsUh/Fwrr+/YKBaJTJgn1K8KNNONkKNPc53Po+Zxm7eZyxI66jT71bSd0KLW6bcg5vAogqqlSq9dB1+9pAXpfjcekpszsOCBdU3ldfuCB+i4UeAT3DzdiN1mV9Yt6x7ldMwgoeUgHcLEQHG9/U2YVr69BkFbNuQDG76k4ph5zHp0M0Pxy928bhpTsdEG7diPVANBa5SjtajiEPjmBOTykYly3S8U4raHqdSRhCO3Waet0OHxLabtNfni9TgJyQUB94aworzW9a7pdCp739uiPtRRfjEZUFTcGysUZ+OlPKUngCkG626V18IsviAXA8Y1SQLUK1esBP/whKcV//jnU2RkV54pFqozn8zSV6uSEhASfPye27MuXRLEHqd2jXqcK/w9/CFOrUaKjWNzOt9hR7IQnbq39/yilvrjr47hp1Ot1nJ2dEd2C+06iiNTIo4iMfjBIq+FxTMIOLkhV+bx/eDEa0ZiCIACePaMAdzymh8X1q8BVo9VwSA9Ts0lOXaVCVJrplL7DM9OdEmQ2iPOLihORMDadM2u1JnrLfE6LCVPNtU7Hs+XzMEdHNF9xMqFeReeoaVctZodOzWYpvVVrWDffUHe7YAVJP4c3G0C6nvqFAJr7bQoFuo5O5d7TmDh7mO1FvEhYblsncBtkAmobRajX6zj58IGq6nx+64TfMtT5lRRQ/h47jU77YGEeffZzIiy3u7ikYlxvNHBycnKtbWx9PJzw4ySfE8P09rNNn/KqgHyVs7Qs6HYf+8ez55CdoMEB+bLTcVkijR1GR11XLuEHrWku7tLH6/V6ajuOAu4D8WxCj8WGuC/R0d056WJcFUXN5yQElMstUuRvEpyQ2KZFKds2xCwrV2liZNuuzq39hQKM27cejymJnGUfLAfqDzTxuWA3AsGGuJbdZINrZITYln2VbYXgtqW0s3/PzNMMbd6PTysWidLu1nM9HtNINWuhnBCcKZWodZNbYIOAfNckofFpUYTkxQsSdD49BYZD8qcLBViloIfDdC1z72XWbUqaTdKiOj0lvzxb6OJE8OmpV1r3TNogoB51FpBuNoGzM/KznzzxzDh1dkZC1oeH1N8+mfgipSkWqT/89WvYFy9o2lO3S9tyx2iLRarGTybQhQKSZ8+oxXcygTk8RHNvD+3372EPD6G/+opo+nt7dC6NBinct1rA/v7V7WoH8fDeGLsGaymIBshJbTZTWo3LKPn/c6+4U0VEv09ZpXrdLxpqNvM9NGg0YCsVWoSGQz8XELkcVbYnE3IKqlVol6FCsUiB+HRKwXmhQD9zQa+vdLkKvuZqu7VeVI7nHoJV1MOQRiRoTX3nvR6gFEy9DuztQQ8GNHNxMKC5h0qRwnsuB1OrkYBdFNFDqZSfra4HA1qIazWqrDNFiGmKTsnyHC09DGGqVbr2kwnRM111UQHpguMczQsVfpedwOx+bgOuVcGLeSz3k2er4yxiBFcNu0hUbhU7YFVVXYTldgc3Mfos2yYBXC8g5+NZDsA5sMwEJ5fOHV+FTZXlH4Kg23L/OL8DALp+y1TzTQNy3h63MAHEnLrIbphdNB6nlfVymbY1mdAINqZWumPxv49jqMGAHCNuveKgvFSiyod7Z/kxbTed9Au2VH4HVq+LnGji66nU+qRl4BTt+V0CLM6MXz62BxqoCwQfBdng+qJAm4swwII2xtpgnsEtKldRaVeK1g2e0AQQK9Udo57PKdFpDNRkQuuF0xkyuZzX/jCVCokdu+QD07fhBJ3V2Rn5wgcH1PLKwtC1Gp0fjzfO5ShOcP4yuMB2cED96ADR0vkdzoKg0ykF55UK7LNnKfs3iqDevaPPFIuwuRz0N9/AVioUHGtNOlRBAPv8Of3+3buUiVQqUXLhP/6PqcXgZ34GGI1glKLJVFEE5VoU8PIl3bujIyTFIvQ338BoTb3x4zGtyXt70L/6q6QCz8dZLPriJU5OgK++osTBPce9eVMopf44gD8OAE+fPsXh4SEAYDgcIo5jNJtNAMBsNkO/3/e/N8bg7OwMzWYTOfcgt9ttFItFlF1WfzAYwBiDRqMBAJhOpxgOhzg4OAAAJEmCdruNVquF0L1cz87OUC6XUXL0tsFgAGst6vW638ZsNsP+978PvH+PJI7R7XbRHAwQFArAwQHOzs5QKRRQdEqE/W4XKghQKxYBYzAZjzGeTHDgqt5xo4HeZIJmpYLAOQxn1qLy6BGKR0eAMeidnkIPh6g5p2BsLabdLvYcpT5qNtE1BvtPn9JDbi3OOh1Um00Umk0gl0O33UYYRag6WsxoMsHcGLSaTUApzKMIg34fe0+fkhCRtWi/fYtapYJ8owHk8+icnKBoLSpaA0+fYmgM4sEATRc0z4IA/fkch/U6VV4qFZy122gUi8i5AKBtDIqPHqHsAtWBU7xsPHkCKIXpaIRRv4/9gwMgCJDM5+h0OmgeHCB0C6y/T1oD0ykGLttYbzaBJMF0OsVoMsFBswnEMRKl0B4MsHdwgMA5WWdnZ6jUaig6NeD+2RmUUqjt7QFKYTKZYDweY99l7eI4RqfTwd7ent/G6ekpqtUqbQNAr9eD1hq1Wg0AMB6PMZ1Osbe3h3w+j+bBAbrdLvYfPSL1e2NwenaGWqOBQrUKAOh2uwjDENVqle7TYIB5FKHlFqb5dIp+u439/X3SAnDH0Tg4QN7NtuycnCAfBKjUaoDWGM5m55+nXg+HbrSfUQpn3e6dPE+j0chfY95G9hqfnZ2hUqn4a9zv9+k+uWt80/cJAKIoovu0v08TDQCcnJygXq+j4ILUhfsEYDQaYT6fo+WETObzOXq9Hg729sg5sJbuU6uFvLsenU4H+XweFUfRW7XuTadTHDq6ml/39veRc8dx5fs0n6P94QNa9TrdpyDAWbuNcqWCkjuXwWAAqzU9T1e9T64q4O/T3h4QBOfv03SKTnYbWuO007m7+3RwQM4H36dGg56ni+6TSxjOplP0z85w6LZpjMHZfI7m06fnnyd3X1beJ2cvfJ86Jydo7u0hdCyDs8Fg/fNkDKa9HkbDIfbdNQ+rVWA0QqvZRADQe+HkBJW9PRSrVWA+p3Uvl0PN2Ye/T66CEg+H6J2eovnoEQKXxD09PUX16AjFhMZh9jod6FwOtcePgTC8nfs0m6F/dnZ+3bvsPuVy9DwlCWbjMfqDAQ6fPvVKwmfdLpr1OnLOjtuDAYql0uLzlCRouPfmNEkwnM9x4HyRJEnQPj1Fq1Kh91MY3vt1L5/Pe1/roz5PO+jv7fJ9urN1b8194u9d6T71+xgaQ88T+2rd7vn7FAQoOarzYD6n+1SpkL9nzPr75FqIzno9VC+7T8Mh9hsNQGvE0ym6/T72Hj+mbQQBvZ/CEEUn4tw7PobO51F78gQYjTDO5zGdTLBXLpNfXiyi//49Wo8e0X3SGie9Huq1GgpO0Ln77BndJ6fnNKpUEFmLZqMBRBHmAAanp9hrNinwNQad169RffwY+WIRGI/RLRaRK5dRcUyn4WCAOAjQnM1o3fv8c4yUojU9CGDev0f3zRvU9veRa7WAwQDtr75C8flzlN06Nzg5gWk00Pjud4F2G9PTU4xyObLBchnJmzfo/52/g9qLFwj39oDpFB2lUGw2UbIWODrC4Nd+DRiP6Ro/fYrpdIrpV1+h+fgxUKkg6ffRbTYRGoP9H/0IqNXQLpVQbjTo/bS3h761UF99hdp0CvzO34lJtXpvnqd12AmROABwFPe//pBE4rTWwN/5O8CTJ5Rl415w7VTUlQIODijTNZuRuAOo3wRxTGIKrOo4n/u55rZchmq1KPM0nRIdpVr11XTF1PTplMYtRFFKsU8SysrVapRZBHzPOLiHNQhSSuVwSN/hqjpXmpnKyjTrSoX66Z2yL3I5muuoNc1HdNR0W63CGkPJAVdpty5B4SmVxSJl7WazdNxEuQw7m1Gl3SUbbHZs0FKlcG0/NY+BSxLqJ3QCeQvf5Qq96/Vei1vqU9daU+/Nqv2xqFymv34BGaGvhfO/TLndbZuZE2vPKcmM2rpvfb27huVe6W3aKDIUXaU10W63bcXIVB3A22GmTxbb3vdVPe/Lz+dD7B/nijaDq9FODGcjdkO24s7PqXt3K639PNqVcMfgqdysAcDvA2tpzYkiGqHJx8RrvBMHsk7kT7v5tXZVrx8zvRx7yyzrIkwmJHwURWSvt9WnzrjOGp1dS7mNiEU1WUgJWF+xd6OTVuqefGxB0lvC2neVQHABrmQ3WZV1FvtcJ9Do1rBsa86lzBWmtHM75WVwlfts1RxhmNLiWeSNRwDPZsSqSRLoOCaq92SSiiUXCtCjEX3X+QA2DOkz/T5NVGo0aC56t0uK6uUytZtyy6lrh7Vae7aPGo9h9/aIGRXHxF5KklSQ2DFelRvJZvf2oJyINeKY5pLHMVXog4Cq6ErBNhp0vp0OxSutFpKDAwRv3qTvDTftQv34x1AfPsA8f04tscMhjXXmVoAwhP7qKxitoWs1oqd3uwi6XSS1GoJ8HmY2g9rbA77+GuGHD4haLRoz7ZTq0WrRNJGvvqLzz+cRf+c7wO/8nZvZ1w5g10XiHiT29/dxViwCp6cU9JVKwOFh2jOezxOlhJUNCwV6uDTNl+UZrNzDjWoVGA69UIOqVIDDQ5haDXo8hnr7lnrjXCUOAM0ejGMa18YUGK3p+/0+9c3VatT3EkVEmwkC2n8uR/3roLmLGI3IYePe0yBVhFe9Hp10pQJbq9Hohn4/FZYrlWBd36ICiKpTrVJCodejYyuXSURuNqPRY5UKLUTzOVF8nFCGNYacxPkcOp8nZ9H13wBIF/FVfdnO0bSs6sk9NUwrZzE8aylgddlL6yqIC1juU78h+uL+/v7q/qyMMByMod7SZYp6VuhrqZ/cOjryShpo9jtOGR/8new5ibDc9lgjynatbXBwBuDg8HDzvj7HSlno3ebE3LLQ27b3Nhvg8LaWz/chBOTL/eOsqwGk5+zYAh4sArlJQO7+r9y+skKRQCbAzx5PHC9Ov+AAm7eZDfCTBPv7+zg9OyMxT6Y1crsUJxkcFdE4cTjl+uT92unO1+bz9LNMktUL0ZVKlERyFE81HpNjyd+5afr7dbREsmtpsjjxYoHyntFxWVgLc7l0agn3gzohpa3nvO8Y1r6rBIILsLHdsBBcEFxIT1dR5KcIGda74CTYJYnPK1PaAVobWRuEe+Lz+YXxaey/21KJ+qu1hsnnyX9PEhJuc7R36zSheO3QgwEwHlMLaD5PwnBnZ34NBZBS011Qrtzf1ulb2b09GmvmClwqoikbfo3q9UgnpFSiz7rWUgwGFEtUKhT8zmZENT84oGtvDNHt63XYVgvWWgQvX6YFszAkzaxf/mVYa2F/5mfoPo5G1Cc/HgPNJvTxMWynQ1pbjQa18r5/Dz2dIjk6or5zY2BbLahf/VWo8Ri1730PndmMrm+tRr97/Rr2+Jh+pp3w9QNZk3bCq1ZK/UUA/xiAA6XUawD/M2vtn73bo7oh8IuZnYKTE/p3tUoPV71O/59MgONjMu5ajSrjCY1Is8akypB7e+RY1+sUPL58SX3be3uwjx9DzWbQb9/SQtVoQOVytHg8eeKzXuh208B6MAD6feh6nR78/X0SfptMqHqey0E7uodltUc3psE6IaGF8xuNaAHK56lKby10HKeZwFwOWima4c4qwkdHsFEEPR5Dt9teoVi7CoOtVGjfcUwLlQuiVRCkc92dQrR1PTte/Zyvm/vcQi93seiTIno69c6TX6zjmLbFge5sRv9fXvCzgkMfw9nK9szH8aLwW3a/F/SrAzifvMh+hx1LVupfJagnwnKXg5NFjOuOPrtOUJ+t2mWegwVwVn5bLJ/vchD6EATdsuJ4XB3nwJcTr7ncQhDsp3KscxSXxfvglHt5/VpVhWVwMM/b4HuYvfb8c6UoAZckVMFyehxQihTejSGnzvVVwvVJqnyenEBWNubtazfrdzbza6+HC1CtW6PUaET7y+dTQTneputVt7ncIjPqpnAdQTlgUYwzy7BK0skb2UkjQIatxOski7Hyu4irZbncvQ/UBYIbRVYIzr27Vvaa8/MWx1cTggMWVeAvQ/bdycfFFX337Cs3QcgWCmmBI58nUTg35UI5nQ9TqVCFG6BCmHsXq9nMT0Yy+/u0VvMc8kKBjoGnKrkkqQndzHRWWedRmOMxKa3P536kM4sF4907Oq9ajWKHYpE0mV69olnpTthanZ5CTacwjx7R+Xa7dHv29mCPjqiq7vbtq+avXsH+5CcUvB8deW0TaE107kYDwU9+gsTFQcnhoS8wWmthDg6gRyOYVgu220Xwd/8uTKEA+7M/S2upKyoiiqB+8zcpVqpWYVl9Po6B3/E7NjS03cZOBOjW2n/qro/hNpAkCdG93Tg1jEYpRXw4TMflOPqLpx26ABilElFLWPAhCGh7Mc1Ct80mVL3uZw6qDx+I+v30KQm8tdv0YDabsLUa0WuqVaijIwqYT0787FqMxyQyVyjQNms1yrrNZiRypzWJ0bm57QDo/65K7kcAMTvAWnpwcjmi1lQqRJ+cz73iOgBaUFyPvW00aHGZzaiy3etBVSrpiDcnmGcBovvweAqnOq+Ugp1OPQ3eU9jpZqR0YKdsyQHnQsUnSVJHMrugMdXTZTz997NO3lJVBNiOBp5kA5iLkH25xPHFwfSqyjewOM5u2WldrqpPp6ur6iIsl+ImRNlWKK2vrbRm4O2Gv58NhtnWl+/JdavVl6nCL1eC1wm/7TIyjBw/fYPPiVkHywG5W7M2Dsj5c0lCApr8nK2aS54R6+OqsLKWPs/PIT/LvObN54siRu73PH4ycY6wDUOvuG5dO412TqOpVEgMlMVE3ZrJa4syxisRLyggZ+jxzM5R8zmdIwvKFQrekfRtTG4E3I2yKa4jKOeu20oxzgy11B/zclI0U82HtYtBOV+z7LvjHjwnG7+rBIIMLrQbDq6D4OJRaBFNLWLRSiiVBvYXFQq2obS79V5Z6xlDvqJvTBqE81qboeObUokmPcQxVEBq5sFwCMOxQBAQY3M08oG0LZdJeb3dXnhnWt4Hi1i6tlKrFIJOB/H+Pu0rDEl/YzwmajmLc04mFMSGIbFdWy0Slev1oI6P6bgPD2mdfvOGfONWi67Zhw++0m7qdehXr+g+lcvg0cv6H/wDorR/+SXt041/w3wO22hAd7vQP/0p4kqFjm9/HxgMYNtt2HodCi6u2N8HvvkG4cuXMI8fE6VdKSRPn9L5DofAmzc0fpp999NTqIMDGtP8QBidO9ODfhXclx50ANC/8ivp+LIkIeeHK8yFAv3NquxciY7jVFXdzW9ELke92UwtZ3q5C/CNtURRn80o+DcGaDZh9vehJxMKsstlooQ4Z45p9OrkhAJtgAzbHY+pVqEbjXQGb79P2y8Wgb09Xwnxo92mUzo+J0jBFWgOxq2jzCumgbJD6eiYMIYe/nyequOz2UIln6+BzefTas1sRpWX2Yz6sq2FKhRIIdJVgcxyRYYdK9cDdC7g5GA3opm4hpMo2e86yqkyhhzSdYs9f36b/uJtwE67o6NeuN8sBTlTXQMuSCxwVd2Yi8fULW/7Y5z7XeCyAPW2t5H9LlfKMwHCwnW/iftw2bEu//6+MSqyrBtuAwDSgJwrJ9nqKX/3onNdvi6c7HNVcsXtN6vuUTbJ4RIE52Z1Z+9DRHN/VRxTZZfXWXYaE5qF7r8fhlTh4MowyBHlfSgARikaixNFlCTN5bzeiXW0SaW1Zy6xQvDKqj9XofmacPWZ9UDcfpS1MABRMG9rDVmuiG+TDMjoQPj+TSyte9nEHe8n+27g3v/sdziRet9aPgSCLeGDXg5CVwVa1o1P4+CdfbNsr/o6bPKZ5eNx2hOe7cI+Vi5HlWuAqs0uQWu1XlBu17MZjRd2+9SOielnnDu/XUURFdCCgApovR750o4doDgmACVPWd8Cg4EPuDGbUYV5PKbj4VnlANTJSbr+NJswjQYd37t3UKenFCxXKkCvR3T6ep1ihk6H1unDQ2LuTibpmDZmm3Y6wI9/TOvZt7+dTptKaNSnajZhf/IT2l+pRD58qUTs3cmE3imGVOKRJAh+8zeBfh/Jd7+banW5eEm9e0cBerGIIIqQjEYkmn1wgKRchrKWKPK/+3dvdI93Aet60CVAv0Xs7e2h+zf+RjrKgANuN3bA0xKdwNpCn2L2vrjKpXe4uarCjhe/vPN5X8nAeOzHNyCfhz08hAVoxjhAD5pzzoyrbqPdJjoNi8qxs1qtUrWeRYOmU091AWes3LGr6ZSyZtam8937fTrOSsUfs3FZN08FyuVoQZnNaP+lEn0mDOn/bq46oogeVDfD0RYKfvyans1odBhfQzc+zlgLrRSMUmn/DuOigJMX86wwWrGYOuHsQLlAHkgrJefA29qAWrm3t4d2u33hZzYCC0Oxk37RSynrZDpbuzC45s+vE0HK4iEJyy1XhLcJQLP9rFfZxnKQx/92lYO9RgNtTrRte2wrjnXt+T6E/vHs+XGvNf87I3bDAfnG935VIoMr7Pw8MDPiItaBY6SAg19mUmWfNSd8abNVKV6HXBIBkwl9n7/LCRy3v72DA7R7PdqOYwVoaynxyYkDTghPp+n4y2KRkqTcjsTMKMAnMS9cf3j9ZQG2zBqs3PvS63sUi9u1eGyKmxD9zIpxrkt4Lver83rg9pntdV/ob9/BZ+vG3lWCTwrn7CbzDPA6sNLW45iKStZSxZqfGWbdXJTEc3T0jaqrGSYLkmRRo8i1C+nZjIJwXtO19r4iV8BtHEMnCfnY0yklYx0d3LI2BSf0KhXYKELQbsO6feokoUq0a8H07C3uPT87o9nmxpBvy4W0fN7HCTaOKQBn0eZHj0hQejAA3r6l94BTGMfpKf2/UoEJQ+izM4oVmk3qpT89TfWi2Dd/8wb4+mvogwMas8YttNMplJswhNevKcmgNcUMcUzbjmPSzHLvE7TbCH78Y6K0P3mCfBhi/vgx/R5AczxGdzj076Gg3QYaDZh8nhi48zn0u3eIf8fvAH7P79nEFHcCIhJ3BwiCgILE2YyMtFz2CuXeOSqXKZiOIvpdqeSDT7AiOs/0duISGAzSQJOVH5nmzXT4apUq4PM59YV/+EDOUq1G3x2NKBNWLlOF3YnL2cND6pM5Pqb95HLkJLm+djQatPhUKnRO7TapPZZKwKNHtBBVq/RwDoe0n2qVEgeTCZ1rrUYLCpAmFbgHPKMsr1ldslajh7dWo0B9NqNFKAiof8fNd+fZu96BHI8p68iBuVJpDxBX4DP96op771l4K1sB4kzgbEYvB5dQ8Y4UK3u6F4hdFpbL9jBeQn8PLnrJXAUsUnQZ/R04T1MH0uuyigq63KvunOmVCYr7LCyX7T0DtqNoZ7bBzvulGfzlYJD3zUFfJqnEvwuqVbrH18Fyjzizd7K/Ww4EdyxouBDZwJn1QYC0hcU99wsBOSdXs9fiou0C9H2uJFtLApku8LO5XPo8AOcr5Mak1WjX2nOOpeBmwvLx2Xye1kEHNZlQUM7PqavEKMcKsBlxI2iNgCshxWLadhTHUOVyWj1nejyvucMh9GBA83BLJUqSzufUN59RUbasocAtMlmbWaJ9W05IKCdWx++Z+Zwon84JPredm8B1BOWWt+Ho/P56ZQP37Dsn268OLCZxM9/xwn3YrUD9xt5Vgk8KC3bDgTNwYd84+xgIAlpvgM2E4JCpzG+aCOe1NQio0otMEiBJUiG4OE5bLB1t3ubzRDNPEmhryQ8fDPw0IlhLFXPWw8jnaY0fDKC7XUpy8rrOk5xcYJ5dN9RsBnt4SIWpSoXW7cmEAtUgoPdNu02+tVN9T548gQpD6h1//56C74ODVFhNa/rZfE4tss+fUxXdWuh374iRVa+THzydAj/+MWy/D3z+OZ1nv0/XYzIB6nXY01ME/T5MpeKr8HY+hz49pQRLpQLtWl7ty5cIX72COToC6nWoeh3zWg0aICX3dhuBo99bN/rOHB1BWQtdrcIeH8PO53SNHkjS8B54yPccTGtnJ280SgN1rnQzTSeOqTLdbgPNJgWVrVb6PdeTjvGYaN/8ILNTycG5o5ZoV2W3+/vkiDlBOAyHKd09jqniHQQ0+iyXg221YL71LSCOoT98oONh5/zsjLJg1Sodz8EB9bt0u8A330AHAdBqwTSbFOy3WkTXGY/p4X/8mKoyZ2e0+PExcBXdiePZchk2CKDncxKUA6iqXq169XcMh76fEeMxzWR3SRFTKFA/fRzTvl3Pv6pUqJJuDPR4TIrCrn/J0+bdAswCHD7QZTqmu7XaiXzYUil9qWSCGK9yzEGrUos9jDdRsdkEYUbELkn8CKS1VW/+vDtGOokLEgt8fVjM0Nn0Str/Kud0l2jQmaowJxKu3AuapfcDC/d8JV9pOSgG0iCRK9QcAPKxZJM/18FFCQgOxvnYbrN6eRtYrvBn+8e5VYgrI9wyxBVndsbWne8KMTwA6f7cs48goICrVEp1BJh5wvedkwO8HU78Zc+Bk2xsB1nVc6X8euj36Z491tzwfefcPpUNckcjmjTiKhPW9dRz1UL3ekTJVIraqFx/KJzTpcZjqNEItlwmp6tYTNdl1x5ks/ofcXx++gSvOZwMzVT+kcuR/givL7MZ0e/D8PI2nm0QXlNQju9Bhjnn1/mlhGf2vaEyawDv1/fuu+/YbLC/S+umQHBV8LtHKaJGrwuy2R9LEvLrsmvtBQH9wj6uQmnn73BrJD+zAelB2RwJBXvhZg7Ey2UvBMd+udGa1s9CgY6d20XdWmYrFVpjz86A4RC2VEIQx0TVNgZqOCSRTu6vVwrodilpUK364hPrT6HV8tM+1PExBfv5PFCvU6V6MoH6+msSYXv0iHzubhdBp4OkVCLNp3abjvXb3/baWarbpWSBG+emzs6gX72iQtT3vkfXZTBIxegqFaivvoItFpFUKsQaqNcp/hgMyIdPEthqFWY0QvBbvwXd7SL+8ksa9XZ4SPfcGOotjyIq0vX79Kdep3U5IEFp++qVHwutBwMk3/72VSxxZyEU91uE1hr42387VV3nKgfPNJ/NSJWdaeMZ6gr6fXJmOBBuNon+0+/TZ1yl2Af4SqWVdg7aXUDJQmAolUhFfTTy49RQKKQP+mhEn2M6YbNJGb8gADodyqgNBqkzy5UZ14tiCwVanLrdtPLvel0U4Oc6YjikBSMMoTP/t5WKn+1ouT8zDGlsmxu1xqJ2tlaj2Y8cgE+n9KdYTHvVl+mS/Fl2TJ2Tq12f6bledYC+435vM1WhbHVDzWaLVfnsdzkx42hRlimzy/vI9Kl/lNmyTH8HzovdrUI26OQK30WOK9O3ePsXvSCz/ZkfOwDMnBewZWV/ORC8aBurgvGlvtOF7fGzvUHVbCO7uehYV/VJ36cKWfbaZgMjDsjZDvm8lu/FuvO9iMqfEfxizY1zrSGZwHQB/JmlthqfQIhjIIqggVQ0jhMKzK4yhoJVrf00C38Huec8DKkyy8czmZDNZyr6OgxhXSJWKUVrM0D7KZdpbR8O/eeVS8j56r4h9Xdlrf+8dUE+nD6IcQkPP3VCa9IN4WNduuYqa4/ufcNJDmUMOcPWwgQBCQ6t2s5NIJvEus72s60tGQf/XKDN7w3XZrFA689W4i2NAr3LQF3moAu2gTYG5rI2OiAd7wgqhGwsBAcsvkMvA/e1cxGGBZszz6yKIqJ5u8SlcoE7synVbOYZQF5geT73rZZqNqM1j/U/ymVgMoFutykZx6OVKxWapMFrBK+vAFSvh6RapYRAvU6V+eGQfGem/I9GQK9HbanTKc0gLxRIa+rNGypcualI6HRI/dwxV9FuA59/7qvmqtMhlfZmk9bc4ZAU4I+PoR89gnnyhAp8XJgpl8nHPjuDbTapv3x/n86F6fNORwqFAiWG37yBThIkz55B87i16ZQSN6en/jpxT74tlZAbDjE/OoIaDKDbbdIqabfBwtvxL/0S8Af/4GbGuAOQHvQ7QK1Ww+hv/s30B+wMsriCplEIcBQUr+bOSudJQs7UeJwqBT96RKqQ02laVY9j2sZsRv9n0QznRHHlFvm8f9Ct64NXbt4iSqW0F57F5lyvCaunw41s0MfHtO/ZLHVO2Ynjc7OWhCO4d6bZpGxhqUQPeqdDC5ghMTvb7VIAbgxwdEQPZxCk9EitYRsNUhWeTlPhuEKBMpeuJwjdbjpvNp+Hqla9+ITlDGQUUbKAj71SoeDc0kg4X1XPwtGStDGLvexLQj86ilZ/n3stI5pXablSlQ26nCNYrdUwcAr1tw5HxfQj5TahT3K1hx0zrdd/z2WKWY11Qd15GdkkwG0Gh1kVe2A7p5udaN7OqvO/LBh328mqxPrRZ1vQ/2u1GgaDweIPLwrIl6vA960it6p/XOv0fDkZxue1ii1w1YA8u0/XG66YVZMN2rP3lPftfu9te3k/TO92NGeVSSQiishJybJOmAbNazrT1vn/3DfOwnD8M07ecqVHa9QqFQyMISePj9ElSVWvl1ZGHFUe83k6dUTrVJvDVX1gDGmT5GhsGq8xPD/YuHedjmMS9HQ2uXIdySRalFL0dxD4/3My0Cc/mR5/07bMSYN1x7ntdpJ0VNu5597124LPL8Nu8cE+VyDv4PldueYIBOvgbL9aq2E4GKyvbDNbhgPxqwjB4YqUdsdo8vPQlxLWKo69kLDXipjNiHrNelJOKwMAbLEIPRxSa4rz1fmdw3R8mylO2Xye1jFOxI1GVDhyBSquTitjyA93zBt1fEzrZq1Ga4dSwIcPaRI3DCk4n82oRbXXSwuFSULBeBwTW9c9w+azz4gFO51Ctdt0net1Kgw65XQ7m0E9e0YxhEv2YjCg1tUPH3xl2zpKezCfk0h1EBAzgFv1jo8paZDPU+/64SGt79YSO7bfBxoNSjYMh1CtFsr5PMbDIdHy37yhd9t0SoF8qURFtBcvkHz/+8D3vnf5vd8RSIB+Bzg8PMTZ3/pbFPi22+QQ8UuY+/Q4k8Q0dmPoIeIqCt8f7gtMEj9jHI0GPdBc1Q4Ceoi4X5KFHJjWyI6e62vkfnUThhT0np3RZ6pVCrjnc3KoeHSaC/5NvQ4oRQtMt0vHxpRNpu9z37mjnfjqfL1OVXlHC1fjMdHj45gWGk4aTCbU786qluz0ArDVKi184zF9zjmJKJVgmNbe65ETGTuROydQwf18SmuavW4M9Yc6p9k6hUk1na6uigOevq4Anz1dEIFz/fYrv89BKJ8PB+oZx+zw4ACnbk7lR+s3ZKcxysyT37Bfa0ERfx1tHlisqq9iEmSRoXxe+xpsEkxvsI0L1ctXBXWrHG6+xrwtDiBvIBlxeHiIkw8fzh8HB2Trgs77guw94Ko0B8ScgOTkBgvqLLUrrFMFXnttln/nqOELSSReZxhO98ILR/J+lxM2bOOuIuOr6S54VaMROXQciDkb8b2Q3NqUbafIJBAUTwdRNOOcEzLaUT5treZFOw8fPcLJ27eUAHDOreZnlT83HKYjKHm0jhP5RJKQ4+iEQG2SEFPLWk+z5N5KBcDOZlR9dQkp7XoHbRh6RsAqNXtljE+02iShQJ0FmuKYRrS5NfWc0v1N4qb6wXn9dO+wtWueY4RwQsMniFcxmz4i8+Xw8BAnJycfZV+Ce44kFYs9ODrCybo+YWYO2S2E4LagtPtZ5hmtD6a66yRJx6e5RBhmM68erzj56XQ9LLeKhiFMoUDBOVfC45h83yiits3ZDLbRoFbKQsG3d3pldG5pGg7TsWnNJiVAHc1dMcN1PqcYo1oljZHDQ2qPPT2lQD6OYZtNr22l3r4l3zqfp2r306d0LByH8Dz1fN633ep370jb6skT33aAwcAnRNXbt1DNJjAaUc/5wQEV4kYjSloAMOUydL8Pc3KCXLeL5PCQ9u3GK0Mpqojn85QcPj6mc3/0CGowQPPoCO3JBPb1a7KP0Qh6OKSEb7UKfOc7UO/fI3nxAvj9v38jG9gFiEjcXeE3foMMZ28P9sULMuoPH3y1AcOhnwOOZpMe0OGQ/i6VUpX2apUCcq6ot9v0OdfzbUM3Kic775B7EtnB4mAW8I4WAOor1Br47DPKjnW79GDVarRfdsCmU6qgj0beGbMvXpBgRbtN2+fgutOheeqVCv3hEXFcKc/nSWiuXKbFxNFpVJKQg7q/T599/56OjVUkXYVG9XoUkLsefe3o/tqxDWy9TllKR6tXvR4dR6FAVSKuZHM20p2fGg7JYSoWqTKfJAu95kyhseUyOcTz+eLvOePK/YWz2ble9+WebZ4zbF21aWWf+m07XdkefNd/D2wQSHO/JquSXiQWlz3viEZBra2q6yXRunUVplXIOAIckG8yR3x5GxxMAEs01HXB+CqngB0ARhjSs3CTgTEHrq6NIytQZvkYHkr/OOAr176Cm6E++uQXsEANthdtG1i8Nnwd+bPZe5XPk4O2nKxhJy7zM+sE4vy9cRR0xU6k1vS8c7A1Hnt2kGEnM3HilNz6A7fOcDsU94RngmVtDIy1dIyuAqudtogFvMK4n5gRx6mYKScJuPrvKjrKGKKtHx1RtWgw8BNILFfAJxNiJuVylGyt1QAgne87nUKxmKdjNHEV3TKt1CU+vZpz9t5wXzcnOtz18NV0rekYrU2rVqXSwqzxG3vusoJy16leL+mDAFg9qs0loIxLBuvxGIBry8oI07FN+ErffWpRETxY8Lgy72esYS75IoHWVxaC26gnPbuv2YzW11xuISjmFhylFEyxSPsOSMhYWesFMZXTelJxTBOHogi616Ng0xVxLBeX4IJT57vafB6m2UyD89HIi5DaMIQaj2GNQTCZkBhdoUDM2eNjesarVfKTlaLKONPQZzOYzz+nltJvvoE+PSW/cn+f1oR2G7rTgdnfp+8Mh7Df/S6UKyrBJYXN4SElDN69A87OEIzHSPb3adTaZAI9ncIMBtD5PIyLSWyjQT3zjx9TK9O7d3R963VqBcjlgJMTmNNT6MEA0be+BTx+TO/D2Qx2MgGmUxKa7nahOh3YR4/oHXN6CrO3R7786Sl9vt9HoBQV6x4/hj04gP7pT5H0enR9HgCkgn6LKBQKiP7CX6CHn2kl9Trw6BEFzaenlKlipcYoSlXWgyDt7WBhDHZCuad8MKDvcxDFWaR8fpFi2euR81AopNRrropzJYYXTa6wBwEF6mzsTiDCj4orFNLkgRMMMsaQOnuvl/ahA3Q+9TolEqZTqmwMBmmPYauViglZS46cU71EqUTHOpnQfisVEpZj5zQzsx2FAiUPmEGgFG0zDKm60uvRdoKAHEgeCeR6fDh49JQlY/wYOuRyaVWcq+ZZWJsu4I6tsEBjdE4jsKbX3QkBqShCrljEzNrFfWQr9LdREVoFDqSTZPU5r4PrzWJqmOUXySpwUM8O+kUOZZYamnWIMwH5ud9tinX051XBHLDe2Xcv/YXPbXrdNsWqar4xKORymLE42ce0k5tA9vpzQMvrnata++u4rrq9aYV8+XPLCZ1sUM77z15vXvtW2UUWrrKxIO5WLKb09MnE9z3a6XRhZKZyCQhrre+XZy0M35vsHESvOL/U064co4CTU3o+h+HjUcrT59VshrzWmM/nXgxT8/XP5736ugGoL906dWFrU+XgYpGEgPjesep7tUoJUKXIAXSVJlUo0DqZy6VVcXedeR3WSbI5/Z2r6q4vWyUJCTQ5ZhdX4hS2XB8uw02uz9mkrFLpc7Hq/KdTYoGFGVFOTlRxqxezdG4BhUIhXXMEgmVwwAsssOvO2U1WCC7rH/E6dMkztVF1PbsvLkBkx+Y6lpE2Jh2fZkk7SI/H9Ixxwo81MEAJU+3Yr6ZYRDCb+USabx00hhin47FnyFql0uk6bl65TZyIL5DGBo0GrBNqU8UiFbW0U5PvdFKV+VwOyfPnpBd1errYumotCclFEVXxx2Mq+D1+nOo3udniqNehPnyAdcKhFqCfVauwzhfXoxElHNptSlg4pXn17Bmt/cfHJNrs1lwTRcQI+/ABKgiQfPkl0GxCO5/OdDpUPAsCWMcCtE+fkj7UcAiztwd9fIwQQHx6CsQxjLVQtRrsF1+ks9nfvYNSCsnv/t3AH/pDl9vCjkAo7neAYrGI+V/7a2SwXO1mQbYkoarws2eLfeBJQgFuGAJHR/QdrkxzoM8vaQ6wmUKeXcickmJ2BJinyLu+FV8p4TEOYUh0cOcUwBjfZ6LOzugz9XpayXf9i74/yGUXFUhAw8QxLVwnJ+lCe3RElZV8nhai6TQNml1yweZyRGufTklUDkidcxbGy+fT6jz3sidufmO5TA82O7RcpSgUSDGTheyspevAohWuH9s70Px/Vg0ulTxFyVd92FnPIs4Iy3FfKDKOoXOqVs5lB1AMQ8w4OcNqzfziuSnBoquCA+mr0N8BT//KjqZbCReAKGM2SwZkKtxbVYoy1FAgQ0NeDn6B9cG4o7stzDRflXy5LrJ9z0AqcJY9ziBAsVzG9GNpF1wX2eucDci5MpzpJ/bX87LKN2OZSr7s4C0nY7iHd9X2XRDpA3I+ZmYqMDi4dlRGXw3lxCfb1mRC++L1k8+R98PJAaUWtUhcq5EyhtYERylnUTrus+c1xlPnWQxSKahcjqoY8zlRyrl/XCkUObnjqvFK67R1RWsSF3WJS1MsQjvn1bqZvmo4TPVGyuXU+WRleB4f6tY/T793gaUtFFIxJr4PYUjVcGYbuONa+bxzJRtIn+lMkA9jaM0uFCj5jAtaHq6Dm1yfs33mudzFbCpuHwqC9Lyc7SiXpFhupboJFIvF+7PmCD4uXDVcMUsug6zdqCiidSZLM2cm4mXJNJcAuFDbJov53K89XKABsFgoKBRSPzCKaN65Yz8q995Vk4mntCtuMXVUds/INAYmnycfmP1/9leBdCRqo0Hr/mhECUb205tNmFoNwfExrfeFArUWsc8+HBLrdjKBffKEpmccHxN71Vrys8OQzvndOz/CGHFMfjj3lk+ndD6NBv3+5ITaXZnN9Pixv3a614OZzQDusy8WqWreaACHh1Bv3tD93N+HHg6RFAq0j9EIuXfvED15AvXFF7QmWws1GFDV//FjqtS/fQvTakG1WjDtNrVB5fMIXB96GEWIHONY7e3BHh1BvXkDOxwC7TYlS4ZDxL/v94lI3F3hvgToh4eHOPszf4YeyGaTnKzBgB5Gpqz3+/Ty3d8nB8bNJEc+T1T48RjY34fd2yPHpd0mx83RBwHQwlQspuPXXK93NkAFqzayqEO2Ms9BIs9rtzYNfl2mEPk80QhZyb3ZTJUfOXio1Xz12igF7ZwKq5yK+ocPaY/84SHRV/J5WjA5i2ctVfkdi8AGATkew2GaaWTnlSn75TIpvXMffBQRHdCpwit2IJieHoZpBavfTxkB1SoJ4lkSi2OnxoIqR3Y8pnsQhjCubWB5LvoCHA2KF3sLLDqYSUL0doAyts7p8n193HfoRnPYQmFRWI4dto8pDhTHqVDVZfT3Zczn5CRjKXO94nOsXroyAbINsr2awGKFNIuLaHT8LGSD5ayy/01hOSDndphLjnNn+0GXA1+uKHNAzmwRDnKzNuVszd+3VffnsoB8VQWdHUBr00Qjf4/3wdvlv7PPGSc33bko92+bDeiV8vRwpn+bTJuLyucpIcVBOQfSTPfjKokL3G2xmO7XrTWe+s6BeBync875PFx7k3bX2mjte7f5Wh4+foxTp7LLPd0LQbSrFpl8nqaTjEY+4cltSdataWoySXspWTDUzVVHqUTBunN+s0GlchRuP9GBt833m1kOygnorQqws0Et2w2v5wCxAKKIaJ8uKQCsqc5fB2xfwPUD9eza5Vg95+j/jKygnmsB4MQPv4uuxIa6BDu75gjuDo5B59kwK97fh4eHOHG90X69YpvkNfey54Z91U0p7S45apyquv85U93dO4hF6JjFacvlVLnd+SbG/UyNRrSOcJuLMaS/oTWMtdCjEdR0iqRYpHXcFX1YeR3lMj3bLg7Q3S5VpJtNmCShyUnOx/UJ3E4n1ZhKEpjHj0nLqdejRClAhaRymXrHT06o5ZPX3ydPaNxur0dMAKVoPFunA7x+7f1xW60SbR2gAJiFlZN09KoaDKiCHYbQb974+2jjmK5lv08V/X4f5tvfphYppzlizs58ETF48wZmPIb67DO6hu666tGIAvh+HzZJsB8EaGsNPHlC9+j1a9huF4FT01dRBBwdIf75nwf+wB/YzF53ANKDflcwBnjyJM14MVU8SYBvvqFAvVik3719S3RvzpA1GsC3vgV8+AD1k5/Qg/T8OQWjbm4iqtWUzh4ERFnhcWazGW0vn6esWEJj22y9TlWGTmex35Ip8LkcbduN1cHBQVpVb7WAR49IVZFfzNxrzsmHWs33JCKkebcqn6dj5zmR79+T8mIuB7x4QQrt1SoFrL0eHX+xSEF/oUCU9FaLesl5JF29nipwshpkqUQ0oDimERTGKbi7XiL/8nAvBXN4SJTIbpdmvAM0giKXoz5zDiqtJQVNVxHWTpXSlEq00HIvejaodP/2vYpcXXPOuNWaHHaAHGjnPHtk+w7di0T3+xTsu8qV37bb3q33HDKVkh2++Xxzh4/PBaB+W4BortlMtvucdRMHrlRVX8ayqFiG7gumDl8U/LteNB/8MeX3pq/xioru8u/vlaDbckDM/eOZIDSrAL6sau8TQECqyp3d/qqAfNlJW2ZCuCDNAuQ8MBMkW23k4+ZEIR8b2yhv0xiqODhatU/6OdaPGo+B8XghILdhSM6JC+R5LTLW+uqzd/A4aeqcW5sknq7uj4uTRbz+cZVKa1oz5/M0eZjQaBvj7EhldCPYOUW/D7TbdD5h6AN85RhMillPTMksFklcdDymfc5mtOa7BKtlx9cxv2yxSBRGfm+USilzSSlaG6dTahNybUleuJMZDobU25V736kw9K1aPsDmPvVMOwyPhuO1ErkcBe2jkVdavvHpESrVEfH2vO0z7Ox7oecdoPuTVfV37Wr+PJ2tZPdvnSCtHo/XMrgEgq3h/CO/hqyD88GUMX4KD5Chqm+i0q71xpo0TFH3/hbg13E4diS/g61SVCl2AmzKsSVZ5NnwKDEX1CvHzFEuOEcY0vo/HtOa0mxSgtAVmlQc07tAKfJnmY3V6cA0GlSMOz2FduLFtl5P2XrDIYm7OfaSaTbJF+1200IaH/fLl7BxTC2ahqYjodn0Aso2isjHLpehvvkGOD2lhPV8Tu2o1SqxlwYDotIXiykjiVmlP//zlAAYj2EODryOiuUk/MkJlLVIfuEXiCbvEgy23weePQMGA6i3b4nZ9eWXlNxwom9hp4MkikiLihMJL17QNW+3qfre7dLabi2CSgU2CCjhXSxebhf3AFJBv0VUq1WM//SfJiciDCngZsV2no9obSrm1mySc8Xjb8rltNr+6BHMdEoZtdNTYG8P5skTCmj7/dRJdc6nr+KwImOp5AUePG384IAq1DwOjWeIs9NaqSyqy3MygXvVeX/cS8+96uxAVqspxZvpQxlxNEQRUWm6Xfr88+ckpscUTU4yhCFlFHM0r5dVj1W7nfZesvPKQkfVanocXKVzga1yDhj3K1rX626NIToSq4tyn3qpRFX06ZR6X5w6vo4iUoAHKPh0laELg0p2HDMiVAvjc+IY1TDEaDxeX2VOEnJk49j3Rflq27rKym2CkxiX9ZuvQhynCs4XVaN5HxdV1bmXOCHl64Wg9rJgnIOzbLDM1OSbDshXUamz2JJ6W61WMeS15GNiueLP1GxgcT1aF5BnKqbrKuSXjkfLBu3cO5jQaDE/qme5hx3w1MaF/XMv7xKl3WtV8P3hKrBLvqr53It2IZ+HKhYpuHaJHsvaIKyT4Y5VFQpUgXbbVY7dxBMh/HnNZguzwX2gzS0PXD2dzVKmDfdw8zU2Jp3PG0U+sVDd38dQKbpebmSnms/TpGS/7zVSFmjtTtiSK2EAfJConOPklZKt9TRNy4KextA2tU4/755zFYZpnzqQCse5liHPgMjlaBxnLreaTZShhvuKeRzTGCNej5Wi9XuVON1N4SYZT5kExIWj2vj5yvSzg4/BWujZ7HJG0wW4szVHsHNQzPTjZOIqOLut5HIYTadkd8DmQnBuPdmY0j6bpRT1JWaWmk7TRCQnRt0oS1urpclkY7wauw1D6MHArzuepeJ8Sa6ac3uif9eMx5SsrFZhDw6oOs8934MBvTsOD8mvPD1N135XJbfO34MToMPeHiUZ223SL4kiWv/qdVq7v/469QudbhOKRfq8aycwrqdcf/11+p4ej6kIV62mjNxuF6hUEEynFEh3OqTQfnhIPd/WEj2+1/PCyRgMkD89RbK3B/vll6RorxTU27dInAg0j36zBwcUN/T75AsGTgm/26XrMp9DNRow+/soNRqYvXqFZDAgfzxw8+UfP6a/KxWY8Rjm298G/vAf3sRsdwJCcb8DaK2Bv/SXyNitpSq2Mb4i7J1KpgFy33SlQpR3pnZzbzr/vFKhKvPbt2mFu1ajzFiSpFR55xD56navRw/h/j4dU7dLD6HWtGiwojxT3Nmh5lFw83k6Ko6V4V2FySYJff/sjBybSiUNcHI5qqrkclQlcdU0GwTkPPZ6dJ7v3tG+Gw3KrpXL5HhxEsJV522jQVlOkDOqoig9bqaWuvEXvg+fqaws/OWqWqpQIDq+c3BtuUwL9WwGfXJCzirT/QsFmFyOAnDnBNtKhSpV3B4QBESTL5VSCqer4KzsmzSGnEVQ5tYWi9BBAMNBuLWrq8yM+ZwWKmuJJu+SPjcyr/eq4Oy5y+5eKbB1FTd+Ua59AbsAg9sKlLWUtQbSIHyTKliGvrwgwpQRsrkxLAfkTJdm3FDVTmtNVdLbxrr+cf4dP/PA+cTIcmV7lX1m9AWANVXN7DVlujz33DKbZLlCDqwOyHn9Xabhc8XftbX4JOB4DNXvE104K9DpWB+at+8CQMznXlhIuXYk35MZhnS8mYDa9zrO57S+uTXLB/DKiaExvX4yoWfGbVuFIa1lnLwcjdLAnt8Jrp0HgHdi7XicTvfg5GYUkZPYaND5ZbQx4Kri3Pbh+9/jmBKluRwFxS6R4BOTzF4plUhYlHsuOUgMnUgpB+Mu+WzCdARbVtSP6bRwFFLfi7+c5Ioz0yAAv3Yovi4cQBcKlMi9rTU0GzTfxFqTPS9mGGDpuDl5m2mv8tfQObnnksUb4KOtOYLdhXsnLyRBV8ElKjUzevi9sKEQ3JUp7Y4BarmtyEE5/Q9bLKbrfBBQ4M2tL64tUU0mlAh0PrhiTQ33blFKESML8IlPZYxvWbTGQHc69GwdHAClEhXZplOYUgnB6SlVuFst8mFZm4THpxknuswtALkcTL1OAaxjXqk4pgC5VALeviWVdhbtrNeJJToakb8fBPSOKBZJjO2bb6CcELPSmvq/WdeKdad46lGSwIzHwLe/TWvO8TEF/lpDn53R/Z/P/ZQl+/w50e/LZaizM5hejwSy53Poly+hcznET56QkOd47BkI1k16MgCC+RzJ48cIqlUk0yklt8/OoC1pk5hKBaZWI0ZQtUrFxm4XyS/+IvBH/+jldrIjkAD9DnB4eIizv/gXU2Ezrupmq8McQDLtPQhSmmWxmM4658DY0dTBcwaTBDg+Tunzh4dkxLytIKD/c1WZRdkmE1oU9vbSvpbZLN1fr0ffq9VShXcgHe3ANHOmyHHWNJ+nY3GLEGq1VFG9VPKBPffzcK+RHy3T71Mio9+nfT1+7KvqiCKiFjG1v1bzIy80XzNWw2engSthPM6Ie2iyQbtzsE0uR3R3pk85qqZut71wn61UoNysdAB0PI7q7oWI3GJnmdrp+jnXBp9MeXUO98HBAU5YmwAgSqLr5b+wJ3s8Tj/HCZK76FPPBNsXJhfWIUtzzgZ7Kz7nBbY22KYPUFzSxNvlTQtFXRaQ39K9uJV+0FWBa5ZeniSL68NyMLNcXV917qt67lfd0+WWA6dxARfE+eAjS1nPtvDw8a0KyDMJh4V2EWY4jcc0g9oF5KpU8q0eXqSSE4BM33QJQ04EsiibP3YGnwf/AbwiuGL6PFc4nPaGctuyTv1XzWaUAOBEAFPxo4gcQBZpA8ipm82o8j8ewyYJDvb2cNrt+pnnihMkSULJXZdYts0mOXSdTkoXd3R1lSQpe8IlK/jaWNdz7xMLXG3nNp7QjcR09Fi2AVsu0/1g1kAQwLjErnUJEx+czufUNqNITI5t81yAvcSSUWxTrlrmGQ8uUIe7njfeQsRB802tQfweARZHtWW3v2qfWSV8IL2vG6xT0oP+iYOT6pdoxSwLwR0+eoSTDx82E4Lj72/6/MUkTmxKpcWEgbXng3CXzOQAjz+HIKD+ciDVSWJx4jD0iUMvhuz8QF+A09q3aqpaDcmTJ8BgQG2XjvHiK9Gueuxp40xJ5zGYHDcUizBBQNOIoigVmavXac1+9YpGgDoldtRq5M+fnND7SKm0z/7VK9jBAKhUKKBvNIBGg9a+fh/q5ITo87MZUdrZH/+Zn4F+/x42imisWacDjMekaxLHsL0edBTBPH9OsUgQkIibtcDTp9Ta2u1S0uTwEOFwiDhJKEk8n8OORrRNF3zbJ0+oeDWZAN0u9oxBdzaDmc2oFZVbwMKQGLXDIZLZDOYf/UcfRIAuPei3DVYqZ3o5V7FLJQo+h0NygLpdegCcs+N7Httt+ntvjx5krqqPRvSAl0qkyHhwQA7X69cpnd4ZPo9wwGCQVuzrdXrofuu36PetFlHM2236ozXw+ef0GRZ24ywfO2D5fCqa5V7qmE7p788+o4Wr16PtOWo7BgPaX7VK1HGuXLCy5eEhTKtF1P137+h8Xr6EarVgnz2jRade97PgtVJUDSqVqHdnPk/n7lrrRwT566Y1fd5VHQDQNZlM0kXWUS71eEwvhkbDMwxUpwP0euSkuvnuRik6XueI2mqVRDhcpZ2r6sbNSlZOAMqL1enMzG/OQs/nFGw72rhhoR+uqq+iz5fLNG/dGOp/ci8gWy57Z/2jjGlzL2EL+JcfswM2qkRxn7tzlu14nDrk2WNfdx7Z4Mv9WwUBfd8lXm4czsmFtZRRzwYFV6X93yWWA3BH+/cBr7WLkyRYtJGRrcwBKb09i1UB+aokTJY2DaSBm6Ou2yjy1XrLyctMUOiTLzy3loMyrthwlZjXgjCENYYog+75ATs19To9c8b4RCAHNeDkIQc+AJRzqiyfXzYhyCwXN8vajkZeqRwZG1cAOW2OCq4AX22x0ylUklCvpLVEM3etIsrpiNhSibbJibt+n2idnDwASOyyWKSJIixCNJ36nkx//SYTovG/fk2f39ujd8xwSFWl4ZASmqUSVfxZKK5cJrEja4nK6ZKhXo14MvF0em4NsEzDdywiMDPI3S/lEng2DInWyayDXI6cSWZROJtVbkqI79Hn9TbLNHLvW+WuJY99050OrfHuGfbsi5ugv2f75W9iu9n3SFbx3R034PrQXSDh3wfct+7WLsXBvVvHPnrLlGD34dYv32K3Du5Z5JZI35fu2DSXziy/KqWdE6n1+uLn53PSBGFhY+cb8Rps6vVUuT1JKJB37znthJdNqUSsWMdg4jYhzUUeZicpBf32LYy1MM+eQVWr1Cc+mVCicjSic3r6lNYZTnAFAQXnUZQG56zB5JK42gXyej6na99okC/85g0ldOt1oF4ncTelKDgGKEGcz1PM8PIl6VDl87D9PlXB3WQm9e4dbBTBOHV4oxRwegr15ZdAtUq96oUC7OEhBflaIzAGJo6ROzlBHIawP/dzFOyPRuS/12o0Uu2nP6W1vdWi8xwOkbiJHno8RjIaEWssjsnfbrUoMJ/PgW4XQRzTe0ApErpzos2W46TJhEaPHh5Su/ADgFTQbxGtVgu9P//n07FkTFdnB4aDWZ5d3utRAAtQEOH6R3zliKvw1WoacLOT+egR/bvRoO1ynyMHI65S7WmAHKxyIoCpjW5Ou1UK6v172mezSaPLTk5SJXV2zNlhB1L6ETvyLpC3xSI5WsfHKYWfHdFKhRYZduyzdKdCAWY8pkXp5MQ7gWg26XxBvYRqNPL0PFWvUzBbKJCIBFfUmQbpnGk4Oqiv9HD1iysvrjfSOPqPD5ZZEI4pQ9yDWa+nzjnTPcMQNorI+WYhJxeseyroiipPq9VC5+wsrey4YGOhmrxJTzbgA2QAlCDI5e5mTJsxXk1/q3E/LgDyWgLZbPpy/7ELLM5Vj24SXJHnfWcD8o/ZVpBBq9VCp9O52peWg2XujQbSqnLWObqJCvm6islyQM6MHB7HAxdwMCODkzB8D3i7XPleTgIwm4Y/z/93qrUqiojWyM5MLpe2HWWvCa9xLgnIQZ2vzIchJYT4GPh4p1NPS7fzeTo3PNMm5IXfkoSq5KyODtA65yrkPsiH6/XmtSkIPGNLxbEP5P3c30qF1h9mV7lEQ/PRI3RGI8+G0I4hZXI5miIRRSmdnVuSgoCSw5UKHdt4TN93dH8WJFNOR8SyyBxrmvB1dk64b49w7zRbKCy2L7n3jgFRqy0nalxSM9vDbwEKTF1Fn4XmwPdqeU3IMo04cGcnntusgsCvoQuq6jfFhrmN1qRkSZckG7hzoM7JjOw14Wo8vysd22j5fLdacwT3G47RZy7RLVCuzUYbs/BZFUVo7u+jw1pI68C2uyGlXfd6pAGylIDPKpv7INyQ3pBXdHfruh9xltELUYqE4ViM0zOAuF/aJRqM0+VQp6dAowHz5AnUdArd66VJxNNTKpgcHKRjhK1N/X23Vvs2G+frKDd9SU0m9A5wiVX17h1Uu03ncXBA7VPNJlSnQ+PPSiU65iCgIP7sjAptnQ60UrB7e+Sf93qwb95QbPH/Z+9Nmi3L0uygtfe5ff+a+7yLLpuqrEJZJUNIlECSiUYaAQaIRgwwwCQQaIDAGIAxwLCqCTDAMJkxwMAYMKeZ8hOYYTJKUmUbmRHh3Wvvu31zzt4M1rf2Pu+FR7hHZmR6JPgxC/Pw5/ede5rdfN9a61ufymTmcxRlifJP/SlgtUJxc4NqMoELAcXTpyg7naQ4xcuXvF+ZuL18Cb9aoXryhIz8+TnLSUcjyus3GxTzOSrlIuZ275xD+O53GW+v17nsqtVCY7VCbzrFvNmEm8+5ji8WZO23WzRaLRxOToD5HNVf/IvAv/wvv37cfEOOdxL3t3T4/+P/yEnt8TEnv3qWawNWvXhRcPLEyGRWm6MYcGNgoRq/s7OM3M1m/KwhaMltWnJ31Uru9znxF9Ok61ONoCThJydEsi4vaQTXaLDfohYhsepilrR5i53qdDLDbrUvMbL3IWaz/Bn9OR7n+zHmOzrHCQ3wOyWdN/l8PD6GGw6zZF6gR7/Peh17Zn65ZFCsgFysOpDl/0oAlciLie10KH9qNpnsHg4MdJ2jLHOx4LMwNNmZqVwCGizBdnreQmE7nbsBoQKg+xuSklPVZIo1Esus+sFXser1Y7ViKYBtOGLRfq116kDuA/+6633VoU1bCZmkvJbE/MqAByXkSjb1zH4dioSv87hfP35fvl5ns191b/cZ9lfJDu/Xmb8qidF56oCAACi1JtTPVStd/16x5/V19FXfqWsRQFcLrmCtw2Kvl9vlqQbQDqcEO9ArQp4SAvii1m3JFo2RTPcoNqQ2RpPbtiW+Km+JCqQaDbIC+z1BLdVUt9upPzmcS0GvE8tgoIEDstFou032V8CsgFO5xFsXEGdGRVGS004HHkjAbRiNWCsophvI3TZ2O+DJEwbAMhXVOtZuk2Ez9Q9CIJBQlvy79dSN3nOdN6CkbvwZWy2yurNZvv7RKLXyjIdDbnNkEs5YT0adS8CI3tMXenvUJeBFAWc+IsH2JW/jI/R6HJf1+u+vcx34ukuTpCTSOeO9Vm3xS9rCWdLgAJYXSBnyjlX//93h1uu0Fn3hUQN3omK72s/fKOHWGvAmkvb9Hn6zYYxW/3yVHcHRbKYSQykbQ7+ffRm8ZyswA4Xddss66F6PxsQhUMZtRsEO4Dk3G+4fANsIb7fAo0cI4zHVlqsV13TvmUiPRoijEYrZjGu8c9kM+nDgHtPtUo0E89eor+9lyfi+LKkwXa9JDk2nWYH78iWfda/He9ts4H72s0zILRZckycT3scnnzCZPzrKRn+3t/BHRwjf+hZl6dst4tkZ/Pk54nKJ2GwywTeHd3znOwgPHhC8efmS3/vkCfCzn3GfazaB42MUlni73Y6KBsXlAnzefx/F7S2Z+/Nz7gvOETh59IgS/pKGxG65JGhgrvNK/N10ivIf/8eBv/yXXz92viHHuwT9LRzHx8eY/Y//I5PYw4HykqqitH0wYICz3ebgrl4zqUR7NmMQdDjkZFambWJYJZlvtxkcycn84cNcDyMWRIHTes3zyRhLTLNzd5ORRoOS8MePuVG/eEHE68ED9sS9ueHfTWqeaun1+9bGISUCYmLEvstBXqyGTO36fTIkITAAazazgc1qRVmQHOrVN90MK6L3yexIbdck7fPbLZ/FbpdreMSUKdDW5qO5UWPVoxwxVyvKjKxmyFldZwrwLemPJnuKtkEgsHUYAEo/xfxYjaoLAUfDIW6Wy88HZ5J32gKVEn19ru6m/jon1cUiB6mGhP5a2rTVj7LMz/BN5e866snlrwJgqHkCJPBMz/zX+Yy+wnF8fIxrdSAAXl8/rnGqxOILEnJX+51XjpE3ScjvAxz6LpMU3jlHXZFTv5f7iXj9nWsMKAgsy5z8l2UGQWOktK/bzfXStl6lnuJaD2rrq5NSSDJiXXe97MLqoJ2tKxFkt539P0JgsBIjk91WiwmPrb9J2i3ps9jaECgR954t04qCAZPeZ6D3RWoDVGeI5ZVhPXdjo5HamUUxMkWBow8+wLXVhOravUDHdjv1No+mFPL7PcHCRoNr6cuX/PP4GOH4mKVHNzd3AGaxQt7YIAXuYvnTfqP+6mK/gWws2u3mEiaVN0m6brJ0OEc2S8qkKjucSxLpDARJ572vQqrXqdt4SGtrQVM1Z606Y7+fvxtfM+BZfs2GcvVzCoTQOzeW/Ev7t6sdaFHAOYej42Ncz+e/Pn+Td8fbOWyvfh1rXjeCu7MO3TOC+9xepeOrStqlOB0O7/58u+X1WrmhSj9SeaHaokk6bn23EUJiq4OV4TjVnFvsGFutPNfbbX7XixeIvR7CBx9Q8n59nYzzZCIcpHJV1yIr6UlqrLKk9FxEXK3bhvbOcHoK//IlyztDoPP70VEu0bm4yCWyluS6Z89IZK3XwGqFeHxMFepqheInPyFRZAoBbDb8zLe/zTj86VOWTA2HwE9+QoAYQNXrofWzn6FsNhF/93cRWy34zQbx8pJmeN7DPXtGBUCziXh0RJLMSrbifI5oxFKx3aJ67z3uE5YTufUaGA5RXFxwzE2nCPM5Js0m5tst2yKv10CjgWo8RnOzQdlqsX0dgPD97wP/zD/z+vHzDTneJehv4ZhOp7j6H/6HHBhPJpw8V1dMSrvd5GqYAki1FRPz3GrxM6sVFyMFlWKaFcgBOZFUL3N9/uiIzu1KipXAizES46z6SiXYkoMqOG63KWkcj+FeviRwUBQ8t5JlBd9158z1OqN7/X5yjk+t2sSY67u1cPV6iFbLmRyA7TpCs0l24+YmAx8y3bMa9+T2a8FwChRbLcTtlm12DMnDapXBDDFt5rbsdK11iXynQ2ONRiPVKEXJTo2JSnX1YnasDl31s06ybzFqANBu43Q6xeXlZTIze2Vf0MMhMU2x0bjLhgsEiG/gyisJvHN0SdZ1/DrZkcg6UQck99Nf+6FkXAmtAuKvU8L6Kz6mJye4ePEi/+C+tFxBge7nVUH//YT8VUn76xLy+vfeLwFQSU49AaqBTXfOWS9b0NzTUU+CjOVM4KZziAINgcxK6/fFdFtCInArMacmWxeAEHX/daBGv29Bm7ffjcYwwkACgXFR55Ps+3DIn9H1CWiNMbWbSe7oAgwMUPAhIFprN81ddLuU56tUqd3OXhxSD202yUMg1tbf6XiMCyuF0d7iVfojebyBDVivKTXvdil/l6KkLHPLTZNcxnabazQor3cAgYnxOK+bKgmw7gw6f/I6qfsg2JoXej2CEotF2hNir0cjJHtG9ZIIvUONOWfvM/3/fk8X4/uqnvuyc4EoYHDu9nsGkw3rsVxn7r/OtaP6mg3lgM/fWw3IuJO4v2ovsDF8+uABzb4ajV+Pv8m749d+uPX6LhP+qkMKDBnBqS5dP78HWr3SXPCrSNqtTjz0ep+fr6ZQjZ1OZs1Ndap4LgFeVgqUylZsLqsLTywK+gtJ0dntkmnv91NPbywWZM1HI8ZSy2VerxYLlt+cnlJ5an3X1c4z7RG9HtdHxY9SIhk4GmV49/w5pfztNuXkDTMuvrzk54ZD3u9ySUZ/s4HrdOAWC5pnvvceH9PLlwRVp1OWKyiZ73QQf/d3KZGfz1neuttRmu8ck/XdDv7jj2kE9+GH3POursjMf/ghcHUFt1ggAih6PVRHRwQUDgdEc2GHXWPwHvj2t1kKsN0i2L+h3Ubj+hrl6SnQaqG4ukI1HOI4Rlx9+in8bgc3GqHq99G8vMTh0SO4yYTPfblE9Z3vAP/av/ZmA/wbcLwziXtbh4KcRoOBx2zGifbeewy4PvmEm7hM4GTIZhMYztFowfvssL5Y8Fw6bFFBVWUkcT5nMHZ6ynP88IcMetSmTXJFJaWqhZlM+GfdNV6s+mZDOUxR0Fn9W98i2iVH36OjZLiW2OlGI1/TYsHvkcukBaCprlM1marP3+0ohx8OuZgNh/y+zYZGG/0+a2gePKAZndh86znpOp0kdU9uxEUBZ/Wiqc603SbooB7xZcnfizGZFdWDa0nL/cuXvK5ej6y6obbRs7WHM3Q0Sqq63dJkpN1GPDoiA9ZqsU5dplMCGmSqYslCXK9TralUENHu605rM8kYbfy4wyHJ0mI9OdPRbBJosHEk0xRJfn8t8nfn+AwBPqPd7hdzf/8qxxcl5PdNz77Jx/1EWWi7DgF8up9XJeT3WXbnPh8g3f+e+pjQ79eTaTHz+k6Nufp56t+j66rV9aegTv9eD/zF/JYlmXLvufErua4qzhUx3pI2WxLpioJMtpQ7JnWXFDGaURmAnMTXEvnUwtECLdesubArYa3oLBvlcVFV2fCwKMjCFAXLdAQ+VBX77XpPs0eBp5LjHw6sFbT6bHS7CCcnlFpaf9yoZ6i1s6rIzOvd6N4aDe4nkuxPJllhJSBUMn5TEKR+5q0WA9ebG64Rk0liplJ/3Jsb9sgFgIcPWcsuE6DRCP7yksCCXYPb7zMYqmT/cMj7pxghew9uPufaOxrxOS4WDBJNUu9brdR+Ma1pct5X6YMAazHoIGvvDgcGjrYWpHEq5tn2zAQqjka8z+US3nuEZpOMVFV9fcacUlWE8PUZ1b3q3u4n541GBhzq8177j8CVYC0EN5sMNv2GAJvvji84xJq/DjSvvsQITiTB6w5j2N/os2Z6Ge4bgZV0Uw9S45nyxJn3R5BS0Oain88RDFT1Vtsd2m1Kqs2XwVuJaJRJ5HKJMBwSBLi+5jV/97ucM/N5jpvltTEe01zt8jLviyo3lXJoNEodlqLa9e52jCFvbxP7HZ8/52fOzjJr7j2NO42ljlXFZP35c/77cIg4m/GdfPABu3b89Kfci6ZT9hnfbLhGTqeIH3yQDO7i2Rn88+dorFaoioKS+OfPgdtbVL/3e4yRAeDZM4Iy771Hxr2q4L1HdXLC+PXlS97Ty5doHA6oigLu8hLh5ATuww/hrq+Z0K/XiMMhmfbNhi3Ytlvg6gqlgN7NhmZxDx4kx/fqe99LqlJ3fQ1fVaj+P1J+845B/xUezjm4//1/Z4KpXt5iX8SoWPKZGPJeL7deM3ML7HYMJBUE9fvZPKmeSFurL8j59uSEn3/xgn8/O+N37Hb8nuk0M1xiyFUz2W5n1/bl8m6iDmQ2Sclpr8cFSvUm9Xp2gN+j3upiPgYDshD9PmWOdaZactj69aj3eq+H0G6TgTGGyVkLCldVyWldzM8dd/yiyHIr1UeqBu9wQGo1o1r3GLnIGtoKBddiAsW4VxWZfeuX7u2ZJeZGbL0SQ33++JhBjoJ4SZ2A3JrJWG2n52hB6ueSZ9V2i7FXsi4m8fAGrcvsO9xqlRkbKxH4tQZcZkQTgVzj9cscxiL6qmLyY8/1N4bxuZ9I25hzxgICXG9i/X5eFSTXzpPGxv1nUE/ygbsJ+f1k/b7svC4/11jXZ3Qe/Smm/X5d/30gQfXYSsidY5BWVUykypJgnCWOd/wwpEhSCY9aLdr65QDOJSV/dWWSkkNJ4AWomSrHb7fs22oJcGy1+A7s/p0lmCpHufOZZjObRJpM3O33DKqsZZo391qUJUtrzBdE4OHnypHW68wgHw5MFh3dzdFq3W3XBuQ13e5Njt965l7P0faqBBZK7mnPLgXivV5yAE/fM5+TWQkBzqSPWtNjv0+jvKqi67L3DMjqCZ++R4CJ1EYF+6RLGopulz8TSFJViJNJNsWUCssS7GQUp+Qz1lr1hUB1k42dzyUo99lsrbveEyzY7VLAGA2c/trN3+6z318XqFhT0HyOVbe9sf59zpmjdS3Bd1pj/Bf0o393fOOPVKbzZQ7tYEwRy5JlDzVw+3Vt0dK4Udz1hvGFv72lykXJoc5nbuDy1hFrnhj9+t5TWhu2djv3LjeQzlUVvS20toTArjxydRdDv1gwIT46YswpLw5TVbkD25DFSPO6aHtNas+72yUXdud93p/MEE3+JXE0Yk337S2fz6NHdGlvNHJv88GAMe56Ddzewl9dkeHfbuHmc4THj7lvfPIJiufPUY1G8I1GqgUPhwPwu7/LteuTT8j2x8hkfLeD7/VQ9Xpo/uAHqHo94MMP4bpdVCHwfKen3EsvL1OcGh8/hru+RtztUJQl4s9/zvKmwwFYLBA++ghxMiEYYIajxXhMEMJAjXh5SQC02aSp3XIJ3+2iGg7hZzOEyQTx4cOU83gj4OL1Narf/V3gb/2t146nb8rxTuL+Fo7hcIjV3/27DIT6fQ68VouTsM4wK+mWjEjSH9WVBzM2qifHZq6DbjcHMTIhUyK6XvN3plMmt2ZagaMj/p6M5fR3JcdmgObMJT5OpwyGxE4DmUnW+Gm1cgs0MUx1xqkW6KLZ5CIj5E7MvzkIA8j3XJmjptx8m81kxAbvWT9TVZz4VvMevRl9rFaU+dTNjcQWSVqv6+/1MiKpwBqURKaSBBnZSUqrd1dPCCQbtWTdHQ7ZvVy1rPWkxO4pqGdlWWI4GGBxeZnko1EBtnNk5aqKrIVqKe8nWZbcBruvO0GXY527GMrXboz7PYPmssx9gX+dAVdd/v5V3N81RxTYSy77Da0f/9xxv178foIOfC6RHR4dYSFQ7xW/98qE/FXnVTBz/xr0b0oI9ft1+flul///Pgii71JS+aoygvpnJF03VU3c7zNbZ5I/qUKSE7X6aEuFIgVBfYwrORdjo2vRvZRlSrSdEh+559q65CwZS63XOp1sAhkj56iUOjEyEYUpZCzBTRJzk3C7smRtnfl0BBmLWjCaHOBVr21JsJ6Ra7cJGJhKJ92TPmNgwh2A2J7LsNfDwvqdp8S8Xp5QG3OpJlz/CfC0/SO223CDAdd3gRwhcF8T4CnpujqTWLcMDIcEX63GPDjH+ntJ9XUugHtBu50k6gKmoxJllU2NRgidDkuagDsqo2iO8ynBDIES2DqTLHdhqbxq4+hOklyWuduHlVdJWZB6MgsQ+JLk5SsfvwpJff28BtykPURgRlFgOB5z3OgoazXz4P6Z9po3rSt+d7y9o6qoYHvdXquY4r4R3BvK1IfDIRaz2ZtL2vd7FKsVKikva9erdm+oreVpvbOSo5SgbzappaMTAQPkDhPOZaNKK3H0t7dMCkWiHQ7Aw4cEGNdruOWSwDGQTeMGA8baIstUXlZZp47BgOWb1mJMHTxiv89kX+vMixeMv0YjhCdPEkCJ83M+O/M5cre3JKXWa7h+n+vOZoPw3e9y7fz0U4KlZ2ecnzc3fKa9Hj9zdcX7ePSI67QBw87KV+PTp3CPHiGYKTPs++KDB3wmmw3VFpMJcHxMUKGqKKOfzdj+7fKSse6f+lN8Lp99RlDaPJ1a6zXK6RShqlDc3CB0uyj2e1TX19xPj47QixGb+RzxO99hwh8CQQgzJvXn56gmE4R/9p8F/spfef24+oYc7xL0t3BMp1Nc/a//K4MQk2ckGflwyAVDzrQhMJmSPMjQ/cSe1xNK9faWPBzIvWp1LrlgyvxBNdZPnvDvt7f888EDBko659lZDswkq7+9zSCDzO1i5J+Sd8qUzGSUGI3u1sZLQQBk5sek8gD4b6sVwYGiYK2LPiN0UbXpCmLHY/6337O+u9FgUqsg35iSCMDPZkzWTUqa6sInE6Juh0OWuBrbHrdbeOcQ9nu6BS8WDKBDyEGmgtP6oY3NAveohV6uxa0WQozw3ue6SwE23S5Ofvu3cXF9nVh1bLfJ5T0xYdqk6oxlHSm273cmnU8sUFXrUx2zqdIr3ePrhxJlUyUEgUO/zqPGVL2yHk7jX8frDG2+Scf9evFYc1XWcT8Af1Vd3/l5TkBe9TkloPf/HfhiAKCexNcl7JacJdYYyG7oOiSLBu7U3n2Oka8xFq6qWENeVSlZcuaTcaceXAy97knmQgpinGPCpOuzIE6J2J17070qgd1sWE8Y2Bc9mbZpjasZ+SSjMQWJ9ll1VwBACbYpaqLetbExrtZZIwyHSSnkdjtK8QWWCEiQ5DuY10SjkYPkunJBAWgdpJA5Uu0aECOmJye4uroiC1yWiIsF7//x4wzI1MFTnU+sqXNZsSQvkU6HEksgGSyh0WAAGELyCsFuxz3SPEecAIpeL9XBJyd2fYfGjgEIsdVi94zlMiXNMKBW6gK0WmzpKcWDscMAWMuqZypVhK+5ldv4EtsX75fC1JPkaKVRxsg77xHNXC0awCyW/muRqteex6/E7FNJF3C3xj4ETM/OcHFz8/l1Vr9TK19xAnB+kTab745f+ZG6waic5IsOIzB8Vd1Vl9wzgvuyYzqZ4MI6A732utRGdzC4+3MD5aJ1t4imoEzmwtovLXb2yyWBtzIb7TrvEWt7mtvvycSPRllFIPm6ynukzFkuEVcrMuAi0Pp9KomurniR0brutNv8fKvFWnWpulTfbuSBm80Qjo7gb27YEk2x9Olp8iJx19dcWzsdJuS7HeKzZ7yXTocJcb+P+NFHZME/+4xrkUqRVisCCu+9R/fzZ88Idg6H8M+fwy8WKFstJtoff8z7fvKEzvTNJuLz52TgT0/ptF5VKA4HhCdPCDrPZvBFgfiDH/AZ9/vwz58DZ2eovvc9NH78Y8T5HFW3C99uI97c0P/j9JTPaD6HOzoCLi4Yv9reGG9ucPTwIa4fPiSYEQKK6+u0D8flEuHhQ/hmE+W3vgX89b/+2rH1TTneJehv4ZhOp7j6n/9nMtiqqZvNsnt7v0/2utfLJmuHAwM0SXhUFwhk1lyyTTEpYo7k+qsAScGk5OUmL4FzrBVU8r1cMjiZTHIyrGRcgdxwmFlt9ZosrS59Pr/raCxnSoDXM5nw/KqnXCyye73Y9cEg9WdMzKeczRUMq65HNeOLBaXoktm3WjlAaTZz/bgFg6HVYpJ8eXlXOuk970/t7MTSmFt+VE2Sfd4BTPYFnpiRXQJQ7L9UU1mrYQ8WIDsZs3nPxcySJmw2OBmPcbVYII7HWRJlLFLd2RjdLq+tzqaLXb+/Ub6qtZkCLUuEUJZJPvo6p1a/2aTSg6Dn9us6rDYuAncT2N+khPy+VPw+W20M3p1A6YukrJYAJ+OdV9WI1w+tHffX/lclzvp9of/6HbFo98sE5KFQP6eYs/q1aC0Bk7doLJx6ijvNK5NCOu+5+ev3ZeqmtdGUHakWWlJvsReS0Gs9FCsIAlXY73Mv1t2OhomWSKT1pCwTS6/+tGlds3tyYtkP1j7Nzp1k7nIwD4Gs+nCYe/FutwQJtdY0GpnBVIJ8OHCuuprzuHw/BOIpwJZiRPuEAQkKrqNzDNSqClMAl5eXfBbNJpytpZjNCGA+ecL1VUm93qcx9Hd8B8TuCyRoNoHxmOuhtamEzq194+SE/39zwzVoPOZ6WBSUrVrwncZDXR0jQFr3PBiQBdM1VBUD10Yjq8KOjvI4rgHasdNJsl5Xm6MqNRIo5bdbrt/ac3XUk2TnctsiY/Xj4ZDd4O29/8p6n79hsvTGRx3cMyBienyMixcvuPe8at+4n6jbfEjj76t273h3fP2Hlda9FjgRaKwx8BojuC88x+GA00ePcKEk9kuuyy+XnGN15YrKT6w2XOPR2bqqNanuN+GXS/pgrNepo04yEW40kieJM5WgWywQWi0U2y2izXX0elyXFEdrDTJAUeRJcXXFevfDgWy6gMV+PwOQIt+2W8ThkOuSqcnc8+fcQ1RmOh7z+1W22e0iFAUl3asV49nRiPNquSTT3u3C/fzn8IsFqkaDHiVXV3zP/T5d2vd7uPNzxJMTGtjd3vIcwyEq59D6yU9QTiaU8T94QEn8+TnLkfp9FJeXqMoSDedQvf8+8PIl6/ZvbuCfPiXYvF7D396yl/pkguKP/5jr0mDAP6+vs4/I1RV8k/3k4+Ul3G6HZr+PMkaqsR4/xtGHH+J6tSJZdn3Nd79aoQgB4cMP4S8uEDYblH/uzwH/5r/5BoP/m3G8S9DfwtFqtVD+9/89J+hoRDZCSelyyQkn1m88ziZrNlHSBBWLDDDgUN9E4C6bLtZcgYoCJCA7+po0PC0wgwGT9aLIzLR6vIrVVQ221U2nAN/ccZ3k8ut1DhQVuHY6mUHrdHLv9hA44WVOB2SE8uSEjMztbZaSA1kyC+TA8eSEi+zVVWbVZXQHZBf0kB3Tk5vw7W3uxy6gQMZy7TaTZ7FEYuYsIE6J92qVDfbkHaDkSgu4khhtXmawE4uCTsR6hxYANgCUMtpTwNjvp0QlsXb1lkz11nVi2uyZ3QmcVNvta63YFHhJmlt/bq9jd7bb1Bs41cn+piTJv67jVUny/YT8Puv1ZcH1/eTexlar1cJeNbn1Q3P3/s/q76nOqEq5IvDPJORQUlofy/cTco3F+9ep4OlwuGMimZL8Xo8Jq2oTjc1Qzbkz/wcHIMTINUrrosmgg3Nc35SM3n+e+lMy9fU6qXoiwO83mXgCscS42PyMFb0+1AEiKjHUHFLNrjGtrmQ3ByVLzmTVsX5+Jd9WZpRqpQXQBOuhXhR8NmLGtd6rXaaAUSWutbXTbza8x/UawdpMps4PrRZa4zEOdq9i7b1aWIr1riomtmdnOal0VnOskicx2nU2qzKDTu+BoyNK2MsyA9KSugNcu71P5VepRtP20PRMdJ/7fe4jr/IkuSLL+C3GLFtt0GzU3d7y+vt9+peUJfv67nYEg5pNtk+zvSGVJhU148yqIqBTllRq1ZNNMfE2P53u064/BrbGiwYeJwO4r5MBr1/D122aZPtFs93G3mTsWi/uKLx0vAo0sETrC3vSvzt+tYclywjh9fu2rd/+cGCpxz0juDcaXxqPzSb3KgNoX3nU2qTdua7DgaCX1kOtDXVFikBhO49MdN1uR1WOmdC63S7XRR8OXAssmY6NBtcIAY+DAVu2rVb557U9JvZ6WSWkPWY4zC2Ij49TyzXtf67VYieM62uuNZZsO6uxj4qVpXhtmCFpjAS0b27IOB8fpzg6fvvbBDmfPeOabwpR9+wZAbEHD+AePmS75Bhp0nl9nf2x+n06wF9fw4/HCMfHiCcn8C9eIGw2JButVZrb7ShpH42Aly/hGw2Ejz+GXywYl5+f05z4D/6APlg//Sn82RlNTjcb9kQ/OWE9/3IJTCbw1p6ucuwE4BcLgqbvvQfXbKLpPeLz5ygFus9mVAaMRiiur1Gt1/DNJg7/6D/6LkF/W8dvSoLe6XSw/1/+l1x3rjpmax2AZpPB7fU1/72k2U2STy+X/HmjQSl4PfGT7FCGQaptUbBkiF9C/VXXLtZFgd1ul1pB4OgoSzdnM36vWHQx9L1elqzr/y3ABpAN4GYz/l2Mjrnapn7j02lmSWSGpJZjWvQlYZfEvg5EaENfrRjcnZ5ykVTf+NGIgY+ZhiRwQYntfk8kUtLzm5ss3dRz7PUY6BVFYvFjUSQjoNhuZ/Z6t8tlAwZiRC2otbrb2GxyAa5Jd1O9o9XRtLpd7IVUS6WgTcLYRckz7xjbVRVit5ukWwqaowX4dwK1qsotoOobmm2iiY0zgOG1rHoISa6bZJxfp3nRb9JxP/kGPi9hbzTuSsPfICFPsvQvYMg7nQ62AuTqx6sCfv1e/U8rk0iJliXEd4Lq+jqj65bxWl0GL5Z4s2FSW2+hWBQJzEpssJ6Xgjb9qWRM6giNT11XXWWgda0OSNTBv82GqLsSU+/hzEVdXQ8S0w6rP7f/XIxsNyP23c4ZTUaPzSa5BCtRTwZxMqNsNPLvywDSkhtna0tKQE02Htfr/G52Oz4/Ba16NvacnEBdgAyDjJPs/foYuT44tsuJyIl72zlsLSlWCUxKvKWY6na5Jy2XfB8PH2ZVgsaMEjUloq1WlpzHyL2uoudIPDmhf8hymZVd220KbmOrxWBxv8+gq5VtpfaRNaWH0++apDrtt1IS6NnP57y24TAH1bbWI5oJnplfOZPaS0HiQshqpfo8tO4T0bEjRd13od5nPK2ttfIAbz+LapEncAP4ehLr+jV8zWtyp93Gznwvkqmc9rpXeX4oSbu/3hlwDODttdr8/9OhkqD63v+qQ+x4xdaOnzOCe11coOOe/P0L96oQyHJ7f9ccVqoZKxNSq7Sk6LE5VScdnI1Lt93y586lMgvFX9E664ROJ/leoCy5RhixEq3u3S2XrHe3MR67XZrKDYfwV1ecu4rhGw06pg8GBJ8r1uu73Q5xtaJB2m5Hdr7TgT8/R9zvCfKNRnRpB+X9brXie+p0uKaVJdxnn9EXo9Nh+ebxMXuiP31KeX2M7He+WJC8Gg5JEHY6wIsXbL3mPeJsllp6xqJAnM0oVx8M6MreaLB+vd0GxmO4+RzxcEBRlmTNb28JeBwOcD/+MfeWwQD++XNUT57Aff/7cP/X/0Ug8uQExW6HSq3nBE5460s/n/P9GKnk53OER48QT095res1WosFwn5PP5rNBuXDh2gcDigXCzQBlM6h8B77P/gD4F/9V99sLnwDjncJ+ls4ptMprv7u302O5QkhNvYXwyF/LhnMbMYARvJq1Uiv10xEiyLLxesB6HLJgLdeU2msJgBOeNXiqRZeDHdRZOZFMvsHD3JgY61xIFRccm3VINvCk+rnJXtqNLL8RgyxPuN9ZoGOjzkBdW5dg2SZZqgRjo8z66Kayjpbv9lk1cHZWX5mZUnmpdPJ6KNzZMtkUCcQQbX66lWpxVzvqm4SZG7OyYzEevCiLPmMVVcq5k3BuUy0VJck8zpTPUTvcToY4Or8PLOcSrbrwWv9WlTf531K3KMkWcAd9gdAqo1U0JqkoPcTcWO/Ui10o5Glnl92KFg1AOmNmPjf5ON+8g18nuW+f/9fxpJJzaC/f5lkvZYwvlLiXj80nqUWUTJon3/ld9r4vtOzXC6zur8QktN6YsqlHpHM0LolJJ+H3Y5AlTmhKxCUC3mSb9v5vSW7qUWYkmetYVauAbEoVQU/n+e2lXZP0TpJxKKgnBFg8CUGtv58DwdeWw0EcACl8BZM1YGy9DwaDZr3KEHRfzqvnqfA01oXCajnsOa81Ex1QKTO0lqCHM/PyTgBeb3udMgKm2IHAJ9JWZIN0bsvS0xPTnCxXnONsmfqgMxsCxSWcWmMBCSLAjg5ST18xWo5aw1XV3QJSIwKno2hjycn9OhYr7n/KcmPMYMDqtccDLIqSSVI6nds6p+4XvNaNH5Wq7ze2hhy7XZSTwXryuHsekK7TTaoqpg8m5Ip+W4oyVSiXl8zLcGQ/PZOPW+9Tr3KXiACruJ+D48sp0/KL/3O16FM0jV8TYn6nX7WWrcEOJu6IQhMqR9flKgD9H+QIuadBP7rPQTWaP35MiBEY1SlPV/RCE7HqxL5V/ZB3+2YTAsQ02F7S+pQUStVSjGX+VDo8361QgAByDAeE4i0ew+dDr0trL+489amsyjYmeNwSN02wvExY5nFguVJAiMFDrdadCtvt3mfw2FWnp6cMNaUesZY8DgeU4rd7RKMuLwkUTMaETg1uTrm87zWaT+YzeBevEA8O0ueQOHRI17Xy5cobm/p0XNywrr0soSbThEfP0a8uWEbutEo189XFYqiQBUCGjc3KL2HOz4GHj1ie7b5HL7fR5hMUFxcoDLSx5+eUp4eAvz5Odz1NUK7jXA48Br+yX+S5//hD3N8P5uhGQLK0QjYbhGWS/hejyDFYgHf7cJXFcrdjuvzgwd8V+024vPncPs9jno9XJ+fo2g0+F5vbxGMTY/NJu+lqlB973vA3/ybbzQ+vwnHuwT9LRzT6RRX/9P/lBPImxtuxuMxf6b2ZWohZkZIWCzofqjFQHWU7Xaa5Dg+5t+FxivJ2u95Drm7Hw78XiXIDx/yOy8vGQzp55JI9nr8uXqrS/7ufe7xq9rrqsrMiqTSu13+nbo50YsXmWEej7NEVQDA0RF/T63ilCyLeVNP4JMTJrsCILSYLZc5KZL0czol0qbg0lQLsdPJMm5LzNMiqkTdZKApUDSkM7FuVlOIVoss/G6XvAGisX1uNkvB4R2pu67RyhUUqIutPH3wAJcG1DhtPpFmI6Esk6u6guVgaCjKkpucczTM00ZskloHJPWBjJ0SIwvkRL0uZdYh6a0Swi+qObx/zOdMrgQYfF3yzbd5KOHTcT9pflXQ+WX3rYBHf78X8CcwTrKu+rlrn/1c0FOvBVaiqfd6vw69lqylhPv+tdTv32qs1WIJMd5ltg2sc3bPTr3ttUbpuYkdrs8RPRO75ztjUWuNZPVK7vd79pA15jgpbBS4GWud7kn3raROoIWN72QQBrIYsfaOvK6r9nxcu03n41Yr3XM00Cutm/Wg00BKt91yPTMGPbEvur66IkDJ7mbDNTrmmlD0+2RqyjIBfS7Q4TZuNrk9XauVvUwifQTQ6eD07AyXVlIUzfzSq21QCHc9QwRGDAb8mYDSfj/vY2KzVAsuCbyCaI05Kcia7OOL8Zis1vV1lsVL2dDt5vFTN2mTukiO7iZ3TR1E9Dy1Z8jfRcoMOcALXDjQkDS0WvCdDt+zmUelunNrn5a8Bl4l7TZn41gUqQYewN1EFuC40vwxpZOvKgQDEqI9q/Q7X0ddeVl+LXL6VyZadZWLjRlflq829/wyGX6omZzeHzvvjq9+SJFXFK9NrqXM82X5CxvB1SXt948746amfola33Udda8JKy9J+44Bt/Xrc5bkS2oeBgP41YplOxp/2y0VUb1ekrcjxqwktTgtWE9ut1hwfwBSt4nY7TIGrZX2xPGYMd9gQFLIlGZ+vUaczxmzFwWT2W6XBm5Sana7ucWyuiVZzBe13336KcuyHj6kGWbBEk+s18DFBRrLJUpr21z87GeoTk/hTk7I4p+fk6BqNhFvb7Pvhp6tAbHxwQMatNm1xdGIa496vssgTyWyn36KwlqehfkcDe9R/sEfwP/gB4iLBeKjR7zm5ZK/1+vBvXxJ/6B2m++mDtZttwjTKdzxMev1b274vMw/6igELFotHFotFPM5onMo9nvsWy148w7Afo/D7/8+8B/8B68fo9+Q412C/haOfr+Pzf/5f3LwLxY50FDto03kOy7q6sutAOT5c/6bfi4Z9mqVakZwdJRr8iR7nM2y9FwtH25u+N3tNvD++/y321vg2TMGL3Ky1XeVJSfWbpeTaoB/yuxNTJyuWe3aJIlXn0Ix12UJPH2agQXV2Ot8/T5/ZzDIiY/YGEmPLDGP02l217S68bjbkZ2pOaanQFKgg4I+MddFweTbAv0k666q1K6iHtADyNJeMSRWDhBiJFq735Pp9p412hZQJwVBrddlYv7t+Xa7XWwk9xcrXpfWGgPurJVUaDbhrY5RsitnSXwwJFhO0dFaUynZTuBAHZ0+HFLLkRR41hhcMSPRwKXPJfOvOoxVB5DMaL72tkC/iuN+8g28un68nlQBr05sddxn3O8l5Clg1ffq2b4mMOp3u1jNZjl51XnrEt/6ddel4AK3avL2tJaYm/md+/e53jcKjKvJuN1+TyZcoJ23OnYlovoemz+ps4DANX1G0naBbEr2BJpZHbPz1mfc1rzofZYhC1y0cex3O7LxJml0xlIGra+rVWZndD12vnSN3S4BMzNUi3VAQ89SybAAAQM3nX0mJeTe3wVQ9Hnd93LJUoHSepM7RwMegaQKgI2Bh2ok6/NSYG7DPEMs8HMlDZ+6rRY26rKxWrG9meTtUlNVVX4PGjPbbTYQbTSScSQ6nWTyF5pNrkHyKDFvkghkoPRwyL2Ej44QJxMmqvM5DTmr6vNrZ1nm+nvtJ90ug9+aoZurlVZFIK2N6PdT+83YpLt/au3pXN5PrROHxlECczsdvgd7n3dk5PV5aiVQrizvsur1ua4EXOACkDxKosYSkGv+9T2/LLtcvaI2/Csc/X4fq9Xqiz8gxt4A/GTued8FX2AT8Gq11X7PZ+FeYUz57vjyQ89WsdqXPbu6OgTIRnD6+ZuOuft7170jjRuTfUvhkg4rwdN4T99r63Lqb143qjMDSrde03G8quhyHiNZeeeokjF1VtjtOKYKuqfH4RAuBLqsB9ZJO6vNdt4TANxsGLNfX+d1u9vlHNrvWTcu1hwgEQYgPHiA4uIiqYvc9TUB6/GYtegW7yrp11rhGg3WWf/sZ8m42V9dsQf7cMhacavbjicnCBcX8IcD/HSKcjJJHTlcs8m11mrig+0lsaThb2w0EH/rt9ht4vKSpQzDIZn2zQZNAIfj40xczedwz5/z+bXb8Dc3KL/1Lbj33gP+7/+b6/JkAndzw3HX66FYr1GtVnDdLsuuVit4e7bYbhFihJtO4ScT+hl99hnifo/Ce5TzOZxz6Dx8iN1igbDdohkCa9U7neT0DysHqP7qXwX+2l97/Tj9hhzvEvS3cBRFgfi//W+5B/p+z4ldS75weZnrxcdjJqAK9rvdnLSrlkTBT1HkPueHA6XvdTM3BYrrdU7wbfFISXlZ0vTht36LQeknn2RWX71pJaW+ucno6ckJf7ee+AoQEEo5GBDt1DU+fpyligA/d32dv08tdwQKOMe68qMj1n8LFVWQrkC03+c9AJmZ03MTMCIWW60plHDLBEj/Aak1WzIG0vyQa/nhkGX+CgpNapnarg0GZLV3Oy6cjQbNN3Q9ClLr0j/dd7MJN5lwwZQcrS5rtYDOWU0kGg1upsZwxU6H/ZmthMFtt8lgK3Q6dM89HMj4Sdqsup8GXaOBWj2hgkbvPx/EieEQs/MmteoV+5Y6kzA6Y1S+7trIX/i4n8QCn0+oXxVAftn11+WswF3WSoGPvqP+jF/3TJSkWjBQFAUqzT/9Xl1qL7a6/r319cK5uzJ1IF+PJS+pd6ySlk6HY9SCqVSDav+fWEJdg8a8vlMGas7ltc25xJxEJZ2SsUtyrXMWBZMePSupjfhA0vt0jQawXHJOiZUXCCm5t127M0AjFEW6FxcjmVNjWLQ2pMRDiXOdDbBzQpJvY4BSSQGQAQSVDAgQtHXd2XuJWouVkJs6wi+XZCqqii0hBTy2WpzrZnznHDtGaIwlk8mqYm1ljKgAuEYDbjzm+gHA39xkcFlMj1QZkuBrjxFQo+8x1jN2OmSCTdWQGBWxR1JZ6ZmpDKvfByYT3sNmQ2MjAQCaI1qjxaLp70WR2J40BurgjkqwpN6QX4c8QqQ+EcukexHDZiCUXOrDYJD8W+5IiOtrRYxpT0CjQcWFAFIl90pIjFF3MRLgsEQ3NO56V6Tk95dVJX0Zk/0lhySlrz3qKiEp4EAW7c61vy5RD+yUkFoWav68O1592Fru7gPtrzpsH/H7fR6bOodKcd7geJPa9MJ7hFopSD2uSJ0PgNzVo/Z39wqjOqdkPwS2KZvPCWo2m0zOrQNO6HbhneOa5Rw/AyR39TAasVXvasU1ykA/Z34jaDapSup2k0mam824Lh4fM6nXs7y8hBuP+f0XF2Tsr67I4He7BAQsNozqblEr60QIbIH24gXw3ns0Ums04DodxFYLxeUlwu0tSaB+H+HZM0rkT07Igt/cUEHaavHeBGqsVnAAFZbrNcLJCeLjxwRCy5LXNhjAXV4y9ms0aOBm9efx5Uv4mxu4EFA1m2Tuf+/3ELdbNH/+cxzef5/y+9tbJuZFgWo+Z3mBlZYmwghgon50hMpUtH6xQHj5kjL23Q6xLPn/R0doXF6ibDbhbm8R+n20nEOw0qy4XqMaDID33kP1V/4K8Gf+zBuN12/C8S5BfwvHdDrF1R/+IReS8ZiTeDLh3yVjVwAsmXajQVa5fiigkPz7/Dwn9dYLMUnFh0Mm0GLrtUjudrn2fTLhZ7ZbJuqXl1wQvvc9XueLF2S55eKr5FOt1VQj3u/nZF6Sv/NzXo9qBWuBCzYbynwePsz9HyVztNrI1CpOi2hZ8prOzljnqIC6FuAn46GTk8zgAyloiwAXC7Hvatshx00l2JLpK2EX06EkpqoyM1+vk6yzXt0uE10FieMxgw5TPAQzrXMy0lN9qgz39nucFAWubm5Y1358nJOKEHI9ue5fwaUtdikRkNS20SAaGgKc9WIOzSa8khO7v9BsMiAMISfuQEo0kgzTNvjPbfa7HRMCe4evZdWlVthu4RoNBIBMJPDrrVevJ7AA7ngP6Ki3DdTxZcFOXeIJ3JW3i/kTw6B/e9MgW3Oifm0GctT7oAO4K4vWvQJ3E/a6zE1rUbebPB2casRVF2isoxiCKIbM1DFRwBWQa2c7neRxgM2G48Ra0twxnTwcuC6KLVXZiN2fMwWMDILSuS3Bc0AKKKLKPexZOwMVwmZDxjxGJqzOMYBRUq1kI0aOx1Yr11/q3xoN1iqKCTdJdFIFGLOiOZNKCpQM1r4D1rc71teSZjP19U3qFoEmJn906zXvdzDI9fpSTNUYnGQ6ZsoAV1XZPb3Z5NowGmH6+DEu5HNiygh3OHBdPxwYhEoFpBIqjafNhp+T5HO7zYC0AmmxwDaOYqfDlmM1Wb2zdT+1JJvNmMwWrHNHs4lwOBA00NopFlxzSWoRlfwURfbs0DxQSZMYRQONY4zZC8WuO9XTq9ypBsgGAz7cbsfAXMDoaAR5CmhOpPpYHQe6UbsQ+O8ax5pPmj/OEYgJgYxbCKzPrq/RGiPAL7921sGCNzjXKyXub3p+U+G4ED5fp/4m1yF1hM2xbwzI+004BHQIlP2yd6nPas2SukE/f1OlW2BJ3p259qqjqjAdDHBptdt31GOSohuQGIsiK0aqVxjV7XaUoJdlAjHls4Fulyx0DYgLIbA+vdtFcX2NMBwyoRa5cDgwEVXs3GymFmlp3dR61u0Ct7eUcRcFa9qNjcd6jfDkCQ0wBWqfn+dy1lYrM+QGHkSxy6MRJeU/+Qnv9/Fjlm41Gll9c3nJGLLfR9ztUCwWqI6Pc+4wn1Me32gQUPCeCfliQYXReo1iv0f15AnJNDOOS60fr674+6bwitZO2V9fs0+51HXNJsL3vw/3ox9xPp6epjbScTwmEHd7S+CgVt9flCW9QgCE01OWo3a7cE+fEjSR0iAE9lxvtRCWSxydnGD+7BmqkxM++4JeF8V6jfLxY7gPPkD50Ud8R3/5L79+zH5DjncJ+ls4ptMprv7z/5wTUvLq8Zh/H41S8IOLi+xi22zm1l/tNhNcMUFiWeqmbodDZp6aTSbXCmonkyw/dC7XpUsG2+uRVe/3KaV/+pRB1re+BXz727zmp0/5eZN9YzTKrLq+35JRNJtMwHs9JsPqc1uXwCqpbjaJCjatN66YdTGCdWZbssqiIFs+HHJx0+9JzjibZcM8XaeCRF2DvACUnCrwroMDSi61cdj5ZcwWJddeLvN70XXo973nAiU55XDIhXG7ZTJgzs5e7fbk1j8Y4OTxY5rEzed8B+b8H72nrPZwIAqsc1tNmQOSPDMCyfApNhoMHpV8rVaUNVltpI+R52w2aczTaOQAv93OkkuxOza+X8nemExLLBDEnH3ZBq9g1YKJoCTsF5RdfuHxKrn6/Z+Jhb3PCr1BQp5W0vozESKudVZj6w1r+FLiqsMY0TuHgQzT42Mm6Dq3WPn6PQrg0T0pgaopRNxuR9Rf60qVHf9hNdNihaW0QFne7Q3uHKVrVp6SEpCawy3W61yfrWvQPDUgTqMmliWvqdfLzLOekeTIlpBLTRJivAtS6PsjaytRlkma7hTA1uuFxZJLdaPkVQmpwBwbL263IwBWVzHo+QiIVGIoZt2ZF4SYcoEEStZWKwZEWgNHIwZNUla12/m9eZ8Zeu+ZkBtbHasKzkw642BwJxjDdovpaISLzz674+jrQ8gScJNiYj7PXUdUi+39nVKdWBS5NEiGcrpezSHbC5P8XcoivX/thc7x5+pfPhqR4QmB91YHuTVuNE801zQH+v0M6ticUF15UiuJoReQZmUWsdVKJUVa6yPAwNMUHF5zKNAvJlg9aAIEDDi9s45U1oZus0klE3cc4+vJN8A2V/b8fFlyvRbDGK2bx5uwpW9yCCz4knN95QS9fpS5Ft8puXsFK572oi+6DgGi2gtfl5D+f/2w/eCN1BX6rFhv7S0af2/6HN+QZXdGbpw+eoQLldQAWdbdaHCMt1op1nBALn2Sh4HNf7dawceIcjzmXF4smPRZ4u2sj7pXGU1VUd692QCnp2TBLcaJ+z2JnPoaumPfcHdzk+OCViuti+H0NIGlKQnv9RCOjlCcnyf/CsznVA8dH2fnfAH11rYsnpwwYX/2DPjJT4DHj/n81+sEbrrNhv3CVytU/X7qttR49AiluaIHW+ujnd8DrIE3cire3PB5/CP/COLFBQHf4ZD3t90mdYtk91gs4GczuNtbxPWaz3O9ppn0dAr3ox8hDIcklC4uuE73euwHfzjA93o0JbVSmsLKEcJwSKf542P47Rbh2TOg3aaCY7NBASCMRjTw8x6NEDBqNHDTatGgrtNBNFWx++ADuA8+oFrrBz9A+Z3vAP/6v/5mY/cbcLxL0N/CMZlMMP+jP0o1jTg7y8mg9zRFU/9z7xmEvHjBCW0GOyngOD7OC5SCWgWfQHY3956fffmSE1uIv5wexXxL6n51xcXi7IzXs99T6v7iBZPcDz7g+W5uCCTIuVdsmhiLssxIofe8p8kk1VBiscjskerc68/h9DRL0ut1gEruZOahez49TcZISeJttS5xNmPtUFny2usMljYsq09KjpsK+AVu1JMoJfhAOkdUq6PFgt9lzHVyhu/3kxQyGsjiTCERRyMG58YOhcGANXarFTCbYdTtYn44ZDTUFmWEQBnVZMINoShY877b8f0DufzBZOvBOSY5zuW+wE0aIMF7MljGaKakOLLfejD02oXApMOUAXeYdO9zAn8/gDpYz3VjpD5Xm3n/UFCw2dBF2VhMAL9Yvfqr5Or3fyaUvC5hfx0wUDtHYrn0eQvG7yTrdSfnLzu0YddbjEm9Uj+UcCsosuc+GY0wu7rK/yYmAsi1hzZf3XrNGmzVFYvd1PwwwCRuNnkuiCkWo6hgToCdyXKjBS+px3mjwTG8XDIQryrKxeugRVWlZye33DAe57koxYvmv9YCKTH2eyZtNlcjQFZDnQzWa74XAxWc1VQ7K31Jb19z3RJiJ4Zcz0ZgQghMqqxWU/MpBV5gYuGcQ1BJkyX9ySldQbHYGnWQWK1yaUy3S/ZYMm4xwwZyOgMO1VYxWvAWGw0m8uovL8dzvdv9noxPWcI3GhiNx7idzbJ5ZQi53EXKpRCSF0nc7TKrXgeIBQpJPaWuHKrhLsssla+5zUd1+LB6+yQrt4Q9OGtHptrPbpcmTgBrLBeLvN8JdDXVRBr3dWWVGDOtadst31VkOzqsVlmxpnk2HNJ8U4Cs9mFL+mOrxWdlEs6432fzQCvfqnuB3FnPBBDs92lNiQYmyRQrrbkF3aYB+iZ4W2+i7akOZBsTYPbLyt+VSL9iDZ5MJpippeovetTZ8lgzy7ufaL8BYKDStNRa9OsGeb/JRw0odni9AuKLjODc4fCVxs0bfV415QDQaGAynXLcaP2GqUYUi9SIACXsd0wWLeZS/baXIe9gQOm4KbGiESZuuUysedXt0qzMAAGn8kKx40XukQ6Ase9wmBzg3XxOF3UZPRcFiZebGxqzNRqsGw8hmathPEYcDlmzrVLPGJNyNDx+DL9ew//9v4+42yH+9m8z2W+14AGEfh/+5gbx+prvrNFg4joYACcnVITN56lkENstE9f9HmE249rRaFD2fnwM9/AhoiXETuq4mxuqFEz56TcbVLe3bKVmcXno9dBYLFB95zuIMaL59CnKszPE1Qp+uUQ4PmZca73d3WaDYrfL7UPVku30FMEk7cUnn9D0rtlMtejeOVT9PlUOIrY6HfSLAksDG9ztLVvLffgh4ocfwl1cwH3yCXBxgfIv/IV3fdDf1vGbkqADgP/v/rssf5YrrRkwJJfZ42MmnJMJfylGJtgKArzPcvB2O0sMTVaTakbF1liNW5L/1ds1dLv8Lrnyqs+42OfJhMjYYMCk8Gc/4zVOp6wjd44/VzAndkpyewXjCl5Go5wkKwBVoHQ45MBO1ysgQSy/ahvFLOiZqW705CS1qkvu7pY8xBiJiMp8rtvN6gMt9hawwsxA0qFrlNu8JD39fkL8E7vW66V2EylBLwo+z14vtexAp8MaKF1jv59aBCmBjsFaSpl7KKqKY2U45P9fXPA5DodM1i04DxZouvn8ruGgAUKpJ/vhkOr+JKONnQ5ZdTPzUp/REAIXa1hQaEmp0G2gFgiatPmVqL3qBhWENRpp43zlEXJdtrcEM9j16vdfGaDdrxU3eeidn1myeYfxfl0QJ7ZNf9XnY8yMmY77Us3XnBNiKcUyKhm9fwig0vVq3tVBPI1RnUcKkRjv1DXXE6OUOB4OufWMmD4ljvodfadYfCVidv/p3bdaROVNHi9JOqwVDRxNflQ24mVC1+8j9Pt31xEBdZLIR5aHpKCu2czfqSAuhCR9FMMuTwZJ2pP8udtFMrKrMfGJ6de6qfe02yWlR2JjlQzq0Porub89g5SQK0nfbhF3OwaXIfDeiwL+9JRyZkmtlTQrmQRyT9z5nL1ym00yQf1+av2V5KMChddrBrv1d1eWuX+31V9He99ebJGAXQVy2y3XtcGAz2I+5x4iYFLjRECYxtJiwb+rU4ZUGkB6znE0yk7LNTdmAc2h0WACLXPQdpsBufdZlSEPEz3/2piNVsqT3qv8BpyDbzSSB0M0oMVpTZTU/UBD0milSnG7Te8SjQY/1+vxXRpTF/d7ykWbzdTmT4qIz9Vg21x3MbLtmq3tAhicnpXUEtttkrzfB4tkyggBr78sqywA9etI+r/oUBJuihwAn1cEvEmiLlZd89K5X+11v+2jrrJ63X6m91j+kkZwbyhpT8a7eo96BwKjWy0m74pJLL6SYWK9H7rbbGhcZlJ85z1l1wJ0vacvR6PBtcxij+A9678fPkSsKsZZtka5xYLzwxRN2O+5ts3n3Bs6naTCcVWF6r33SKYYIwzr3x0ePCDhYaSPu77mej+dZlWQPX/s94zlzs6oTnr6FP4f/kNgOiXwaHXuEaDa6fqayX6jkdaFaGrcuFwC+z2KdhuV4goro/XmsF7Yulh961upu0eYTCBzYG9Aa4iR8fRyicbtLYJAWCMJXFGg+s53gJsbEk6np/DPn/P5TibMDZZLoNtFJcCxKFDEiHK9RtHpAEdHqB49gitL+B//GGE8poFcWVKub2BItV4jjkbshz4cUsXQ76N5e4tqs0H1ne/Af/gh3/unn7I3/HIJtNsof+d3gL/1t14/hr8hx7sE/S0cJycnuPk7fyezqQAXTqF1nU5yH08S50ePmCDrkDmcNltjmlAU2VldSL9YBNWl6nsmE35+scgLeaPB5NnkeHLcxc0Na9KbTS4s02lm1a+ueF6x7QqIlKxrU5hMeF27XTYQMsMfDAZcwAQ4KPiU5F51herFbqxySjqVaEtuuFrx/0cjMs5KwlUvDjCYFMuiQFPslGq0gBwM6vfqyYECdskelUiZDBatFpNIa5PhXr7M8nqBCWK3Wy3WGYXA+iixTcbOHZ2d4fr2lhub1Q1hu+V9WXCI21su2DEyUR+N7iTcrn6/UjnUZJaJpdDC22hQXhnpQg9t1DWG1oGJeqwqorp1eaUkzjWW8JU1kUrULWl5ZY9cHXVmRfVndk4H4HMrlyTV9TVNG2M9iX5doFZLyCNwN9iv16fb/b9R0FdnFutlIV/EsCvo1/Xo83V1iZJWC5BOzs5wZe0GU+24EmFdq+7dZI0wR/OU/Np3RF2jwDcxzvYs437PAMh7fk5jVfeqxENrluZCWdKUzJjU0O1yTkuiXmNOUlJi1+l2OyYrZjoGS0SVSEUrH0msZq+X2gkCyPJ1ILmr69ywHtdRkvkYs98EcMeQLiWgGlN1lYJUALa2BT1vq7WNsxml+94ndh8PHjBZk3KqXo+u96SafLHeSlgFlkjCX5d52zxO78yz5jfudgTrNK9DwFG7javlkuzvfM4A18CU5Jsimb6VGqg/+B3jv8tL/lwAst6F1pFWi3sMkOdUs5lLueSh0esx8a6q3M5IyhUluiaV1J4Xu13EXo+Aj9ZMPQuBgQJy9MxMPZJUCAa8pDZECvLrIJpaQqneXGO3BrZF71lPan4nXoyeqYJS60urs3zlOqhE6nBIpR7BkgUX411w1ACVWBRMPixpT3NIIIvmzFdVI91bm+TZcPLgAa6urn7xc73uO7SvALjTaQTIifqblFABn1Mh/H/CXE7PyZRsr0uupe7yh8PdMfeGEvV0vMnnNW8AgkRK5GPEyXCI66sr1kabKV1So9XuqQ7g+eWS63xR8PP7PWOcVoussMWCqQRLiflyCQCIp6cs4THwX4a1SakjYkUk1HCY73G5BI6OaCJn7b1cCMDVFVy/T+b4xYu83y4WjM9VaiklDsDYbb9H9dFHKPZ74O//fe4LH310t7WvucrHFy9Y6iTQzZLc2O1S6aq6cYvvnPfAy5f8jvGYrcqcQ/zoI+DyEt57VKNRUgo4AeS9HtePmxsUVkcfl0uWIW23iE+ewB0dIT5/zrjPe7L8pgBumKlc2WyisPgl2DUX2y3K4ZBt3KxHO+Zz+FYrKaYCwGdu5QTeOQKc3S6q21u4fh/j2QyLVosM/oMHjCNevGB+YmU/FYDw5//8Owb9bR2/KQn6dDrF1X/2n+VgodfjhBUipzZBzSYnsxib0ozR3n+fgQ6Qa6c1mYQ+WqCX6r8bVt95c5Pl7kpyxVgo2FAQKFZfSedgQIbi8pILTreb27Kdn7NePYRcg6he5KqlFmtTFCn4hKF88J6st2S7ktB6z/+/vc2MydERP/vgAe/38pL3td8TJJBpndXw4faW1zoa8R7abS7QYh/NqMKpZzqQ5bkCORRs19lY1cXL2VSSfiW/YinFplnAh6KAu7zk+5fkeL/PbYtMYRC6XSKyJhU7ffAAV4tFMgRxSpa22xQcKtCMYs2XS97zZJKYMMmIvZzsFcQrUGs2M0uhv4MsaGw2c2sg75NrterDFYR6S/6CMW13+t8aM/tKVl3B534P71hjmVoZveqo1yuaDDQokdIhpszQ7nS8YUJ+59CGrUBEP/sy5v9V51OCqutTMnz/eoz1VX/XxPAqKXEuyf9SgKok2CTe0+NjXDx/frfuWnNLDKCYZ/3cNl+Y/NAFK8nQWqTvVaIFZCCrqnJPWtVca11SYBMjTXvs+UVjEpMCoX6tFli6qmISaQaCsclWZmi3uYkfDumanZ6VSbqTqVDtvtEw07i6BF+ggxLyEO7KHC2JTWPS7j+BNlo/BYJYMBrrwd52m+e+3psZBEmGXAe+4MxVuL4P2DUnF2aBLEoWxQwCucyoxkBB88XW21AUdHu3khi3XiNut5gOh7har3m/Jyd8t1prrq54j8Mh9yXJ8bVXaI4o+QW4f8znOXnXcy6KrPDQXiagtij4HQqS7V1EK+9yUidpfIVA2bn3NO3b75mAec8yIAHEMlCtgy8CECT9Fztt0vfUy17jXHNXoJmNQyXxYTQiI6dr0/cZkBIbLG1y6zWvy0CsZBBXVex9XhSfV9DUgUpbL4Pk+QJHlXgrKfI0DfUhZE8Escqq1ZZ65hc9YsR0MsGFAP1f1SFQ1+bA59rMfYkE/86h+wdyi7/6eX7TDgFowJsly7aOu6r6xY3g8IaSdtWUa87r2kzqfvroES5evuT7MBWU1ixfVXd7rytmC4HrWLNJwmWzYTvGVot7jF1TlEQ9RvibG8qgGw3OO4D3ba7p6lzjDgdKqXc7xpGnp3ld224RP/ooqzOltJnNWDcOMDb1LHn0ZYnw4AFVNvU4MgS45895zQ8fwl1cwP8//w/ByEeP4K6uksInHh0RfHj6lO/MFJZSi2K/h7+6Qjg+5tphjvLFYoHw/DmcAM+rK/ZKn0xYbz4YENzudBAvLyGvAkwmrDGfzRBXK/YYr6m2qg8+gHMOxfPnKE9OSACtVpSp73asfTdwwIWAUFUoYkxAfzw+Zsze6QA/+AH/3O3gNxsUrRZKxVXX17x3EXL6/RBQnJ9j/J3vYPbhh6g6HZZyffopmrMZ9gXLfqIZ0lZ/8S8C/8a/8Ubj+ZtwvEvQ38KREnQxttfXnMitFlkJkzSm2utmMweOkq8PBlwsnjzJSZqhW4mJ04avOtJ+n0HW4UDDicDaZQD8/v2e55XZhRhpbdbBag2NpcDlZTZEe/SILuwyC5rPkeojj4+Ts2WqiV6vE8uL4TC3GYsx19+LFdzt+LOq4jnUgm04JJP/8GGWyr94wT9HIz4fJTLbbQ789Iy9p9mZLZbROQZgJhFNDE+zedf8SX82m/wduc2LfR8MctKsIEiftUA6mLQ8rlaUsirorbF2KbjtdhE7HZw2Gri6uEjMemjR4Tj131WQVU/8mk0+M5lJnZzwni3gjN1ukoelz1iinpQLCnyMJXQWCLqq4qbcbJK9s+Q8JVlFQZbHeybNJmV2VZVZHCXkwOfcepPLtmp2XxWk6qifR4H8fYnx64KNWgItZiU9RyVFpkZ47bnsmu4AO0regC82haurYcQOKqEUUKQEu860A7mLgH1ObMN0MsFFvTPAfp/AnVQDZnVpWK/5DvUze7euKPg8DGC7UxsqdkDJgD1LOaWn0on5nImzJcPx6OguU6N7qifHltD4suT7bzbhBoOsAlivcx/1EMggq6a61WJQZglvNLMbSRiDwERJq5VoiZnV+JQMPtwzRxLTW/8PoDTckni3WhH8Wyz47q0XO05Pc9sogIFjrR7biaUV826lObqeNM8EZBqYlQyLlku+MzFVjQadjPfWh97Y4CjgZLPhsxTg0u8DwyFOHz3C1fPnSd0UQJYtgbb9PsuuBARKtqkyBOtWkcBDJVO7HUFVsftKxJUc15UiWpPF2itxsncWTVbvBTTV51C3i9Bus0xH4JjAJiX3WvsE4GlcaDyORnmch5D3jqrKHQLE5mqeax3WfjEaJXAzrbECpiWnN5m7l+Rf79Ukrcn8TeB8/aixwd7GlWp2U+JtczPNfTFvqIGgpuiAWNdfMMFW54g7PeB/Vcmu7UNJvRDCXfD3TRN14C5wrPMAvxnmclrzbc177f1qTzv8kkZwOseXSdpDyD3Abf2p17ZLmTcdjXBxdUVgybnc0raqsqFoCFTzbTaIMaYyveLyEqEoEI+PCcqZQtEpybNyHhwOiI8ecc7X/Ev8ek0zupIu9+mZWM136khhysnw8CENzySBt7rx+PAh3PU1JfJSBnW7WclpdebR9kTMZojf/jZr1P/4j+FfvAA++ojry27HWKtpzumzGdynn+aSlV6PSXe3S+PmVguu32cC3LAuES9eELQYj1FYLFi99x6K+RwhRoIJej4qtwUIHF5e8hoPB0rJAYTDAcXREcLjx4gW03vzePLOIQwGuYS02yV4LkJHZaitFnB2Bv/gAarZjHJ466+O3Q6x20XR6yFeXqKIEYdHj1Ccn6Nqt5PMH4sFiqpC+d3v4uR3fgdX8znc+TmKTz9lGaaNy7LfT+UF1Z/9s8Df+BtvNq6/Ace7BP0tHf4P/5D/0zRTNSV1n33GTV1manLjFRJnBj8pkGi3U7sxjMc8hyZHXZotBF/GQk+e8N/kFK9WZLe3WR6jXrRaeMX0Sg4uRm2/zyz+ZJKDNNUg1ozaMJ3y+1VLrkBGNabmxKhgVsxSaiMltHCz4ee0oBwf02V+NMrmaXpm772Xmbhgkv/lkkHTeJxrmNW7WWymknpdo8ljUxCsd2BMYQTywmSsUmw0uLBJAqqkTGy65KRVld3ZFWgWRX7fdu+h1YIvitwvGOB9SJ4ucEbBpBIeXafk7XLzByiJ7XaTu2mq5RdSXAeHDLBQ3104l6STsM1SQU5wjsmNWF+rOwoWgKeAU/JiycfvBxYKGKpa7XmdMa4fQv6BHMh/2SGGDMZcKjnVvescrzvXfbZd8nGNEQWL98+j75E/g8ap3Vuq7QRy8lKvfVZCXkue0xio1/HK3E1BUavF+7W+r+mcehcGRkCBnsAGgYFiQOoMtxJy1QZut1RbmCQ8jse5rlEBmgIwqU+UoEpCXhQIOp8Scs1HXUOjwaRVrLpk4zqnJU8CK51J6utyxtQSrQZC3alP1ZhUizd7Hq62DseiyOVEMvuR7FutJ+19pJpO3Zdddyoh6PXSPXrPumIliQq+Y4w8r81Xb88lFEVeS8Uyau32nm17bH5Hm5MYDJi0Wt/fAT2XiAABAABJREFUeHvL7zrQMKpuSHinXMDqvTEacU2/vuaaNR5zfVmt+A7kXF6fY3r/s1le27Wuaq3VGNd4VlcTGQXWFAXodGgM5T2VFgI87fmGbpfrhzF9LoQUxDqBvwKJdV6BMwa+hm6XQICBMK7Xo/uz1txul4G1EuD69du+GVqtdB1JdSCGTzXpUk/VFAZq7eerKpvF3V+TtFYagOFjTOUUCaiysaz5KqApBf2m1Ej7iSlcfinp95vKzn+ZI1o/+WClAWJfgVxGIxD5y1he4HOAbwIy6lL6b9CR+nFLJfNlyXVtj/SHAxV19k6+qhFc2he+7PtEINi6mhL5uqqjKAhsCkiyOZj2LJ3f2NXkIdFocP4ZQBg6HRRWiw4gqVBQVXCzGb0sxuNc5gcDmQ2YVtlP6HT4Pbe3GRS0hD4+ecJntVpRkahz9/ssZXz+PO9l8m9SOas6UngP//QpQreL8MEH8Le3cH/v73GtffSI+5ypXVIJ5MuXcM+fw3U6bMvb67HbjveIn36K+PgxGfOqAgYDFDGi+vnPCR72esDVFYpOB9XxMcsgj4+55ljZa7FeM2Efjfi9z55xrbNWalI+hvffZ1w3m2UV5XJJY75mE4X1dK8Gg9SdKLWls70tPHzI5/LDH6a9FqsVYowoRiMC+LMZ1/lWi++rLLn3dTrw5+dw4zHK73+f3wvAf/IJ4vl58gyRD40XMFQUOPz+7wN/82++2dj+BhzvEvS3cIxGIyz/6I9yzbUWn1YrS9rVxkxJreoxb26S2UKqD9eCOhxm+beC/sWCiwyQpDYp8ZDJ2OkpFxW1vzk95f8/fZqZdDHIYj73+yyPHg55fUCW0RcF7+XRoxz4mGMztAh1Ovl61uvcZk1ySQW6AgP6fX5GMkolvMtlZvPbbeDb36Y0qNHgtaju++goL5Q6//U1r+PkhM63Clp0P40Ggz0x+XWAQkoC1dGuVqwFV/3M9XVi7OPZGeJ6TbMQsTBijyR3NCk5JE1XImCyx8F0iqWSOCVrUgdYABttnIi5gJkZpQRMzE39eU8mXKglf2+3+fuSXcqh3961zOKAGqseY6oTSxu2MfqJfVWQX2M01KbIAVm+9iWsemJkxNg7l5H1Nzn03XoWNTlkYqrtvX/pOevsuP5uEuNUJ3efaa8zawLN9FzrJRI6lGjp5/qvLsm1e0pyaQU+Vl8avcdwMMDcPuMsIZczdXIht2fh7NneUSDI3Kb+Hk0iHTWGxcQe2ALMlSUTPkucoZY1QB6/SvgVWFuyEMRc7ve5Xrgs+Yw6Hc5Fu+7Y6WTmF6Z60PxW8ggkjw13OCBKSaPyHQXzYmoMRHMAP1srS3BALlPZ78kgHA6ZDe104CyokPlbYix1rxrXtqZITplaHwrQqUk7YWNKyWQ0xjcBEaa6clJOAXTa17u9vaW3hal64tERQUUzdEsgoikWFBQPRyPMLbnS2KmPdViSm95Pt0vFxeUlf3ZyQvBYdfsyixOjrnmndVymfEr+xdQLkBKrJQBa9Zyai+YhIMA3lmVO1CUvr/mGJIVFCKnnelyt6ERfZ8M1P622PwyHAJDZbrWVEyCgoFEgz36fk3W9a6ulT8/AVGWh3WaQWRSs87T5rG4EoSgIsO128EVxV/ar475s28Z/LIpkKJfGccmOBK7ZTHXtd9RKUnTEeLeU5kuO0WiEeb1dlo6vkiT/MsduR0m0KWrSvmHJ31cytauz6gLT9fdf5T28yaG9stHI0vEvez/6vMbhL2oEhzdI5qU6UWygfQ7ISbtJt+UhMTw6wuLmJsmX07yzJDp5jwSaZ/r5nIDYeEyXbyk0iyK5hcvotnr0iPe5XvN3Go3UwSOVHznH33v2jD+Tp9J2C9du0wju5obriq1f7uYG4eSE1/XiBdDvJz+V8OQJwcGq4rV1uyRBbm7YTng0gvvJT+A+/hh48IDg3WqVPUoMMHU/+hHcconq6CiVw7pmk/J0rbPm0I5Oh2ZtFxesV9/vEZdL+PGYAJx6kTcaXCefPUsmxOHhQxQvXiDY3HWXl2lNdoMBJfoA/OVlMhFOJn5FgcazZ6hsH2zO5yjbbRTeIxhBGM7OUJyeImy3iD/9KZyUsosF264ZE4/VCnjyhOrO3Q5xs2EbzbKEu7hA9eGHKL77XRI86zX6FxdYX1+TOT8ckqIq7HZodjrYW3wT/uyffVeD/raO35QEfTqd4urv/J3MLAh9V4siSaVHIzLc6umq5DsEDmDVViuIETMxGvHv0yn//XDIibomsQImSbDbbTLN6r8tsMB7fv/FRXZ3l3FZt5tRQiX3Mrgz46I7RnBAZuCUtKsnuyS9y2UOXrV5OMfr17l1z7e3WeKrWvHlktdr/Szxne/kWvjzc/57p5NrdlotPkuBAeMxW2XUGU0l60rqxCwIEbT2aCloVRJlclZ3c5NacmAy4aJ8c5Ml8HrnJiuOViPu9JwMFDjp93F1e8vzyhBLrJzKEWQaJ3m6JK5KILThyXlYQAvA6xDT5T3dn9tt1jdKCirZabdLebyCgVaLUq+6FLv+TBTMAwQ9gNQPO5nCaZNQcFhPyO8zLwr0wEDBAa+WwIu9us+IiznS8brARCisjhhzkiyFgOafzluf1wpI9Dmrn44aQ7qGes12VSXXekloUxmDrl+gSKzV+YtxKEtgt8N0PMblYpFkhXdM3CRPFItm8uhYD4yaTQbmdh+u1eK1WNLjN5scTJkpVwIL6vL8+hgwhtLXk/ayTC3eXAh5jAN8Xp0O2YEY2U7KEliZ2KAyZ3iNP81TzQGBHZpvhwPljM1mrqWv1eMn1Y99XyhL1uNpLHkPqP+2gZaJ9agBMM651Oc6dXmQ+skCVFdVBEzEgpniIZSsI3Yx1+2h2UwtGn1VIez3DGLsdwAgLhZkPxoNtq8ZjciiDAZkLG5usgmQmbqlFl8CCaoKJ5MJrtQBwnsyS1LiCAjRu62DRiqRUbnTcJg7cchvQ2NQKjGNZ5UYaL7q3/Q7AgpkSGfAbDw9pTpCarGyzN0yms0kGU01+TKys3eZWnkZCBWKgi7GKndSoq45bvtI6PcJvJYlv6vXQ9jtEnOTate9ZxIh7xJbb6KB36kWuCwp3zUQOhkRAtnFWuuBtVd1rtaR4BVrV2Kv9/s852zOSMmVlCneEwAFk1B5niCy9VVScGiOv+J4bR/0OtP/q2Skqyp3IzA2NRlOimF/00T7PnBsfwfwVurVE2tupQpvZATnHBMXeUAAeSy+6XuIbyBpFyBszzU941hrn9ZoMHnUWghgenyMS6uBTuPLQN+o8ddoILRaqdVWbLeZlJn3SBRYqRLRdhvx7Iyu6hbThaLgnG23qUgpy2QwiefPSUSMx7lV7nSKMBiguL7mddk+6UJAPD3NXXQ6Ha4XgwH9LoysiSqZOj/nvX33uwSy//iPSQBNp5Sz21xXK1DMZnA//jHVM4MBy7v6fTgA/mc/Q3V0BG97czCDN/+zn8FXFarhkIZrIaAaj1P5pOt24YZDKg8uLqgkE1j78ceI3qPYbhmzHqxV44MH3Of2e7qnd7vAZoPCSpbCZoNorHb0nsZ8vV7qcBGLAvjWt+D7fVSffcZn0ukwDo4R/sEDJuEvXiD2eghnZ/w3IxXc0RHi5SWcc6i+9z3G3I0G/NUV4tOnOO71cHN1xTWr22UcIcWGgcju4gKHP/2ngf/0P32zcf4NON4l6G/hmE6nuPrbf5tJIpBdbxUg1uV1kn7vdlwE1uvP1/qp3lvSd7FCxmCh38/MvNrenJ/nZMHcLJPc/vSUfxfb3W4THLi+pgR/u8018JIoK+mXmZtzTL4VKCsx7vfv1Cgn0yA+mLsmQVrwFEQpuFJwpES77n4vOXirRZn7xQV/96OPuMgUBZUJt7e5xlCMVx08aDSABw+4iIhtbrVo8CG5qJJeyTjlAqxEUsFkv0/p5WLBRW+7pdvm2RlNpyRlrMkLkySz2eQCvljgpNvF1dOnOekx2Xkcj7NcUVJJ/V2mIACC6m9L1lAleVLd+V5szmDAWnWrBUO/zw15ueR9iDkytiq220hGTHWnbsnUaolaBMjIGfIfTW7pLFiUyVx0Lrtj1xLyO0FonSmK1rvVzp+CUAUR9WDiy4IZjdn6cZ+xfhXbXlVZql7/vXqJiM6t35eRoOb8fflzjTUXi5Oenc5l/gapR7fu2d7d9MkTGjbtdglAUY1lYr0lJQwhr0vrNdm2Viu12IIzB9XdjmOj3U7zIkmOxa7ff3Ziyg10iCbz1ftDr8fk3nsGNpbIRoCB2WbDQKXdZiKs9yD5sBhKvQsBhgr06s9XzL+5wKdEodnkWNxuEe0/MdJab1ynkzsZ6NoXC865Zq29W03C7qQ8aDQYENXAidiwHtqSTksGWlU5ue92c9mNJJkqA9jv+SyM/YTM7iaTXIpi+4SLlDx7rf12XYllFeNr7+XkyRNcWJDrnAMuL8kAffgh1zaBpAJV6+y42OzBICu/PEuOklpIc0hqEyULdbWJnrH+VKIuuajAWfXdFsukObXfZ+NEc8hPxogCljUe6t9te3DodukTIvWTyiFizGDxYMAayu2W7yYEuMmEzFn9GmxvDI0GA097b6l8TZ4PDfMfsGcWDeB2QKrNjVJjOEem3QBNqaA+d2gNFQgkcNC51J4sqixCoKrGuBJcva+yzInWKxj81yboOjQfgV9tnbfUIwDvsaj5aOh5fpUktc6qG3iT9qdfdbJeY82TyuPLnp2esX5PJUN1cLYOfr/Jd3/R9wlUN/AlKY60/koVA5uDBTtguLJEDAHT6RSXZoqGGMmg1ggRmX05+UuAnh9SS8XBgInecsle36en7BluvbxlionVKte4O9ZN+5cvuWY9fMjnOpuxbOb999mibb2Gb7c5Tm5uslfQZ5/ld75aMS5uNsmGC8jc7+EuLxFPT1nz/eIFWxWLJNrv+Qzk+9LtAh9/DP/ZZ3SJPz7OsfB8ToXPe+8hWp03BgMasl1dsRe6czRs63ZR2bP0nQ59Lvp94OqKBnpVhTidAre3iFdXcL0evNWdR4D+HhaXR1MiREe/E7/dIgwGaL18iXK95hplypWq2STJVRR0Z59O+fw//hhuMkFcrxHnczhr7+xfvqS5nD07f3WFKkbuV90ums+fozo9Rfz2t6lQ2O8RLNF3ux2OnMN1o0HQ4HBgHbwBpthugYsLFN0udv/0Pw38O//Om431b8DxLkF/C0ez2UT1X//Xud1Ys5lrDg+HzEAreVKQI4Tv/Dyz30dHuXe6THfEbIiRl7O5WHjVg+z3mf3WAlo3NlMbHW3SRcHAp6q4KF1c8N91Dd7zd2S4I8f4GO+0TEoO5wpyFdRdXPDcJyd3693X68wIWy1NkvmK3VY9/HyeTfaUtIdAVNSSZbz/fu4Fv1rlelZJ6fXs5DA/mfCayjJ/3sCAcDgkx/LE/Cg5UL15ndEbjxmcynnezEPiYMA6m7qs05KN2GohDodoxojq9vauA7Fqw1utnCiLte10kpGR3KyT87uAoGYzJTyq8U3SeiDLRY1Zi40GkWYgs0u1BAvdbgIrYqeT67qUBNpGVmcxcDiw1ti+z0sOJZOjGLlha9P+IlZdQVMtmU6J+pcFTWJEdeicdba3/nMlwFIs1P9diYZ+T8mirlXzqaa0SDJlfbbO4IotM5bSC9SQx4ASfeeIcAOZzbQAqOk9DjX30zQGrK45sfabDZIreJ3ZV/szJTDdLlk/UznUDdLqzykZ/C2XTMgFaOl9iCHXM9N7sxIAZ89P0u50PbYuJkmn7lVgps4jsEB1tBrj9TWn1UrmeGK9o/WullrHNRoMasU2W/ATAT4vIHtFHA55Ltl4iAZSyfAHKhGxsh9n41tMkhzqE2sZI4PDzQbBJJoOYKKtdcXAiGABqNqmeQXgxsrEwK4ASXFj3xFtDHp7TtHAwWI+R/XsWV4XBoNcZnR6CvzWb/GdXF1lYEDjW4m7vqfbzcanMbLXr/VnT583oEhKAzFoSZXkfV5vNB7FmGudkuHoaETn32aTQbvOZfut/AqS2kFjt84uaj56z+DWnIkTiw/kewshKaSic/A3N+ndxG43lQ2lz2pNlfJhvc5riKnHUls7gfDjcTJ/S87b5ieR5PRWVhGLgkqL+0c9Ka4rSbSPSTEjtjnQLTp5GNSfj0C3uvIJjHEO91VHX3bU1/VfZYIrBremHEj3Gdlu7Ssl6vdZdeDuPvQ1qwOSrNxA7TdpJZcA07rC7HWJ9pec6wvvqaqS30XaTbVnS+qukpLD4S5QYgqWZruNg/aN9ZrzaLWiQsSk49EAXITAeQ0wIet02Pt8s4FvNFBNpzQFnc8R29a5R/NWsbUBuO6TT8i8Pn4MZzXUOD5GmE7hLy6SuhGbDfztLRPmzYallYMBk9FGg67kRcHrns8JKFxd8V2ZobP7wQ9I+kwmVDfZ2uu85756OMD9yZ+wROnkBBiP4RsNAoU//jE9WY6OCFgPBlzXLy4IKjcaBCz2bFEH56jA6nQQTk9ZLvPyJRPy0Yiqox/8gPtTu43w/Dl7jocAf3yM8viY64KReI3dDlXBlrro9eB++lP4FtsDY7GgnN3TfDN4D/z2b/M9n59Tfdbrse+893CnpzScM/M3PHkC3NzwHe33fKfbLev7v/tdJvmdDvxsxlpzEQUxwo9GCDc3qDodPsfDAYXADHtfznsy6H/7b7/5mH/Lx7sE/S0c3W4Xu//iv8ibsSSDQKrjS8lkUeQkQLXOYrhvbnIdeKvFtmNiQuvBkiR10yk/E0I22QEyUKBrUCBqTGsyOpLsdbvNMvoXL7IpxmiUPyuZ64EGRon9NgQ0JSsCI7QANhoM9uRUrwRXbsW7XZZhK3ABMutXr1lsNHJCJJO2zYbXHAIXv9PTrFwQYyNkVJJllQg0m9kxvi6BlxRfgblz2U1f1ySgoAacxKMjLtRXV3xn4zFlUUJixU4faPTU7vWwtXtyKkVQ0AdkBl/18WI9paoQW6YEQfcs6XW9HZW5Oqd3BeTkrNFIMjMMBqwfUt28lSbEXo/3YQlgaLUYiBszF03C5my8qTZSydQdl3gh/MYUfI61uB80aO16VZD3Kna8zkTo95Uw6L0qgK4nonrees96jvpuJZ26jjoTLkZdrEKNRXca8wDZNAvGgpgSAWi6LiUzCrB1jfa9XQAbAXoCAAUw6Dqt56hzjgGOVBxFQZTbyirumNMBd5Nruxd3dUU1QwgIdh6n0g0F96aEcc4xkYwRweS3cC6bVdmzUQuq9O4PB643Qsi1dtozSH2NlSjr3Vvy4tTi8nBgsFEUZABMpp8AMq2dAjasFCPqu40ZdSUN1+rmfs7A1WTwZiCF225ZSwzcdWTXOLbfdasV3/98nlj5WBRkZKWCMMDM73YEDHa7pGpI12wssYACjfcgU8zC+sA3GnC3tzQQMv+Mdr+PXaPBYAlIgXGqF1c51Pe+l5ly60GcQBCt6zJgE7Ajc7jJJPcFVnmGgMq6SkEAr9Q5Gu8CQrXHSM0hDxaVawkk1n5ga1Pqna59SoCbAcnR5qy8GGK/z/dwdcX7laxe19FopDajodmklFWqsHp3Elt7QgjwliglGb5ApV4vGW567/l9IWRDvKJIQSoMyFLrsdCkaz8suXmljLsuf1fyKsDSwFvEmJJQBxAcMxXAHaa+LNklAEDn+Bibeuu5r3LUr+lNmd2veggQsDl9p768Bgx+Fdm3jPbuyLkFOrypjP6LjnpC/SbJdbxnBFczFPzKRnBi2r9E0i6PBJjCK53f9nAlrcm40LxEtPYKvO92u9jOZiz5ORzIkNoa6azsQ/eU4qjRiCUZksYfHTF5vLrKMScAt1hwPxNZcHTE+XR+Djx5Qufw83ME5xCePIHznsx7p8P4ZLHgfR4fwz19yr1D6tZ+n3NVa8FqlQ2POx3G3vM53E9+wvhJZWKKGZo0nMTFBfyPfsT3dXrKGNEUUu7ZM+DxY6oEm0240Qhhs0Hx8iVN1cSid7t8xgbah8GArPVmg+KzzxDKkuc+HFB8/DEqk/97i7ujfbfr9RAXCxTrNSpbi4v9nk7q2y3cixeozGjOixjb7ajsOjpC/Ogj1t0/e8ZzbreMDUYjYDqlA/5iQT+P6RT++XPE7RaNEBCOj5mEh4Dqe98j0Nhswj19CrdY8OfbLQpd1+GAXb+PQv4rAFuzHQ7Ao0dcU3s9lH/hLwD/yr/yZuP+G3C8S9DfwjGdTnH1X/6XOfirqhyMhMCgQhuqgvXagofVip89OeHn5nMmedrQVCeuzVwsVa3OGtNplgHek0/C2ikkBvD2NjPe+uzJCb9XyexyyURdbo8y75HMVEnPYpElo6otNPfgxFZIoidHZAV42lDFSAs0UFJvC0MK3BRox5hZi/U6s84ytAPoAm+LALbb5PicEiEZGgkQOD3NLPxmk03Y9Ll6fZeCMwWnktZb4I+jI9Z2KjAWcDEa5fHhPU4eP8bV+XmSXmpzcGLUa2yPTAPjaJSDSwW9utZul6iyMZYp6er1cmAmAEAgkZIrPRcL0oIFuV7AwXKZW5NIOm2MTuoxKsmhJZ0uBIQYuXmZXDcCybk4GXgpKBfbG+/1Wa8HEffZcf3u/Z+LrQNy8Fxnx8U+aANWom+MU5Icas4o+VbSC+QEucaep3OEcCcBTH3Eez0GNppDujYxIwIW6qyFjQNXFIhlSYm7wBz9u7nEah66GLkJOmvBNR7z/6tazbvGr9aZzSYlusl0Z7mk1NdklLHTyUCNlV8owFcrQmcBSmw2s2GPAQaaK07z3dQfUYmBxmBRcDxJOm8AjhI3t17neSjlyHicg6Mm+74HA+mSKZcCS601Wk9jJJtjY8Opz7i9h1T3VrKu3huYEqqKgY/GqRJZUzI583lQWYlAGG/zN3a7BBIsGXAl29ckY6BGIzuY155PkMLAAlSoTs8k2e7mJgPArRbZnaLgXmUgcOx2WZMpgHa3Y5KtekXvKX3/8MPs9yFQCcgJskATzT+x890u9xUpxhqNrOiqjfkkXa/NsTRHVfZlQCE6ncyQVxXXxOEwzY1U4mOKCdXFpm4aAo6lBtLn93uun50Oa1mlJFKirj3DHO1Ds0mg7fo618YD2RAQyOcviqyOuLoiMGMAZ7TzpI4fthensiax3OY942JkUmLgTNB+fP+og50aIwbwxKJIqqlUHqK9wWKX5F9ga+l0MMDVxUVup/mLHLqmXza5fc3hantslALRmE2xvl9Jfv8qVj2Eux4hbwo8KNGuKyNe9zy0Vmu9/yWM4F4LBlRV7g7gfSpTS8ol+z4XY1ZQ1U37bMxHe+bTwQAX19dkUXc7zlXFfALS1aZsOCQ4OZulWDSMRmSDLy+5Xgk41hphZZNhPIb/yU/of/PBB9zHZjOue48fw89mfNYCJG9v0x7lnj7lfqC52+8n80a/WDAxVpvd6ZTv6vKSru2jUd7bA00f0enwWv/kT5hUjkb069BzfPqUa9V0ymd4fAyEQCZ/NkOzKFBWFdU9rRbC4UCm2jmEx4853y8u4D77jKWLJydwn31G9cHREYqf/Qx+u0UZAvxwiPLkhACIrXUhBHjnuDednCA+fQq32SBILQtQcXV7SzDxW99i67fzc3qhDIfwz5+jjBF4/JjP/PycYM3ZGcHr62vuW7ZmuhcvEKZTuIcPEcZjrnWXlyhWK1RVRTVZq0WFmHM4Pj3F7fk5quGQZQVXVzT1Oz2lNH8wQOx2Uf1j/xjw1/7am439b8DxLkF/C8d0OsXVH/4hAxhJ2w2dT4kskH9WM0pKCYYCDpmCPX6cTeCWS35mNOJ/YjuUsArh854B0YMHmcEZDPhvzSYTZCWrVn98p12YjOjE0qrG7vlznmO75eZQT34lyZVMUoAEwIXk4cNcmy6Z6Xqd6w3rbGediajX2MsZv9/n/4vVkIN7s5mvT4mmjOIUUBwd8bxiR8XQS1ZZDypN1pR6u9eTwPo1AznB1/vUZm3vJxwfMxi/ueE9y62/KHByeorL62tKNiU7tIQh2jNL9fJK/MSYnp4SWZWpkhIeQ/qTG7sUGKYkiFZjmZx+tfHUJI6p7t4COcnY3GpFwGG/J6Iqib2969Buc0E2OXM0ttGHgNTfVPJ4SxxjWbI+3cCQJA37osRbz/f+z3WorEQSTiAnfXVgSYyb/k1MZF32Z0HHHfm+giTNEdtIBUgkkycLQEKzyeRB40wJisY/kJOUGqAg53i33xO4sXnuQsBpr4eLi4u77eQ6HfoRNBp0je50+Mx1nwpoVBrjPZ3ATWobnaNZ2G7H4N2UKlGfdy59H4qCY2e/Z1BgCo7UazawPjTqeYh90hjb77NpXR10s/oz1Tum973dcuyZdDiGwLFnibGz9SAqCQNSwguA/yYWugbuOZu70XtKJxuNbAhXZxKtHtIZkBoN2IwWnAJIfg/+5obJcw3sciHkvum2Jiig95KHag2zueJNMRUPuaY/CCAzhULc7TJDayyV5qJUT3oHGn/TXg9Xz56RWVGpg9RNoxHLp/b7DLxK1n16Cnz3uxkErWq+CzJG1fqoUqzlkvfU7ZJVNzVZan+p+VefU/q5wGuBiDqvFFFK1LXWt9vJxCkB5NayU+ZsCIGsuph/jb26KsuuPXS7ZMrlLq/kVWN2OExqtGiAjFOi0enkdn1SqVhyGPp9rqXWMjS0WvC27sV2m4mMSttOT8maA0lVFTudDHAWLCPyljTJ7+HOUZe/i63d7zmnvKe8VvuBrXFOSi1J4w3Yubi4oCldSV8QvKot3JscShJ/BZLxO4cBGgASUJnA37K8K+1/k+NVrDqQgAfgFYBy/RBAUQdtv+zztWTe73Z33f1fJ09/1fGa30kgpvfZ00TXesh+Fi7Q+FDlN4koqAG3Mh88OT7G9U9+Qkm6FCB1ckblc5MJIoDi2TOOC7WJvLmhisiMgRNwKjO68Zjv+bPPKJmeTMi073YsuRkO6X7eamWPkvmc0nN5CA2HvEeZg9qa4a+ueC3bLeOV4ZDX++JFijWlbomKmzodJqp//MdMvs/O+J/VevunT9nXXQRBr8d7MkA1ek82uyxRAanLhGs0ED/8kGvSs2eI19eMrZ1jeepgwOf07BnP4T2f2WRCSbgp7LxzqQSkarXQ+PRTGvPpPgcDNMoS+9kM7ugI7rvfZQzx6adJru+fPydRdHYGzGYobm5Q9fsEmmV2HQJ8r4dqt0OxWgEffEBm/fQU/pNPELZbuMUCDQCVlBTmRl8cDpi0WrgqSxQ3NywtODnh+Hcurefx5gbhT//pd23W3tbxm5Kg93o9bP/oj7IUe7PJaPt9kymx2hb0pYBR0lJ9Rp+bTrnp1lnVToeLioAAsdaSP8rxXC3XJFkF8iItN3Et1kqglchIQigznBhz+zNJRY+OsrFcq5XrE8WIqG96s0lHeXOhTHJWMfAhZGk8kJOsEDJjKwmlNiklO7peSVTrUkslZJLOK7CTeuBwyK3t6myNDPBGo+yar+S6nhxqk5ZMWAGj6nv1PAoavyWZlrXJ60wm2DbMVK3+e0BiAqOkmlIfiEnUfD454cJYFDy31USGfp+LsSX04XDg5ijFgTH2qV5sveb3ALkUQAG4sXAyekEIZOjU7/foiKypMWnRGHtJ611RkHmxJDAA2YUZuFvbfbD69WYzOcons7P6Gib2us5c19+Jgi8lphqXSvA1pmrS1CSnlvxTjLMAFzEzMldzNP+Kxnw773PPagU4ukZdu1h529hTUFPbONXbPIEye7Z0UlDY6/WwNjm763b5LmFy1fWawYICdbVdMyWNXyx4vd5qT8VKi9kyFU5y77dnHW0eeQXvziVzGQA5yZICBuD12TOObesgUPMewGZDACpayzL7HXWkcApoQ2BtnjZoBYMyw9Rz0rrgPVxhNdpFwcSlLLNLr8Abu0dnKp9UT6lxV9JczsVIprsoqCRwjq27qopGPAaCJGVEq0XzRZs/QaaVJZ20sd1yPux28NttKgcJvR7ZAs2jdjs7EW+3TMrKkuaQAg8Fthob46QmUvImIPb5c+BwQMc5bHXvWieqisyu9iSt69p31muun9st1+OPPuK4evEiA1XNZl5LlaiLFRd4WhQEkKXcEvijPUlzUfuA1Be6LimaNBfroFv996TgAtU6KeEsrMTIFB1JAi8VWbcLtfVJ40MgibxdtDcpIO/3UwlSsDXDzWb8TL1rSbN5t17X1BROwK0AaOcIipkJlRRZ0drAaV4IzESMiSl3tr4FJSP1o55c2jxxZQmsVmTiWy3uT2JCjcF3ux2i9+hOJlgLjLXzOdULf9VEV8d98OBXdUhiD+RyJBtXvixf3S3kdcerWPV733Wnrr/GmtdLDl57fj2juhFc+Qa16vUjvsY8TmoA2wPuqBy0fzVpWhhLmmEGeTAIeA8hJe+Kd91+j05VYSvSwIBILyDMeyrw+n3Kza+vOd9MbePOz3PMZQl/BDIgd3wM9/Ofc298/33EEFBcXSE2GmyfZqRRNIMxdSGKwyH806ecQ7afuHY7qVpQlln5uNkQCDalnf/kEwLge3POt3nutM989hmKTz+lE7rFvE5+UpsNa8QPB+DkhCy9JaButyNTv1rxPKY28IcD4oMHlLDPZvA//Snf/aNHiFdX8FdXCI8eofjpT7knGcgcHz3i+mJEVWg04BsNMuXdLuPJy0v44ZCldvs93MkJcHlJGfn77yM+fozGZ58hzOfcw16+pApILYyvr2ksNx5Tdn95icZqharVSu3l0GggPnwIN5kwPnr+nPvefp8MZiuLKePDh/DX13DeowFgd3GBoqpQPnzIMgaV1DnHdqi9Hqrvfx/4G3/jzebBN+B4l6C/haPRaCD84R8yqV2vM6Mgl1hrl5Dqy4HshC6JJZD/v26MtFhkebZ6OFqwCe8ZiHS7d8+tOloxBQ8e8Br6/RzoKKFZrXJdX6ORpX2SZIr9AHJwJDM6Ga+1WkQJleTW69IlCVcw9/gx/zscuAgqsVawrQRGSgLdhwJAICsRJO+uO5BPp3elywo8p9MMlihJlZxfiZKS6n6fn1W7ssEgoax3Shjqss66FFrPSMxJt5tZzE6HAfB2y/6YiwWvW+6fdQZIfxprgv2ewd98npNnARm9HhmX4ZASVzPoiycn3EAskI7tNv9fkuNWK7Xdcc6xblissMYgkFis2O0mp+EISnJxccHrmEwyY1SWDFqN4UzyyVYryT0jLBAUg6zvUp0bkJkhIEvUBbpIzSBwqybJvGMepusXI6exYpI2bfwOgIyFsN1m47b6O9ezKkvIgC22WsnI5FXJt0zGxLxEgLJ/3U8dJAghOafGhrm36t7M/M/3+5TAKYCu18tayYXbbglUWdLiioIIthJSJdRmgOUKM4qx6xWD4g8HPouyzGZ9+rNeNgLcdcMXUCGJteTXh0OuI9cYK0ves82j4H1yVlf7KadA0X5PY8Kb8kEBZdT37veZcVVSJbAlRjLQ9bmld2CBYJISTyb8d8m7ZzPOQYABpgA/gREWeEuyr+4Laa6I1Ws2qThZr8nSNpucD+NxlmvbteD6Os/zRoPAmpK5VovjdbcjO+sczXuurnJiut+TkWo2UUwmKC0p9mL5pdxqNgnAyi/j9JRzWiClktT5nJ/94AOuqwIdNealfqp7IlgZRlq7T08zmNFu5+/QuDJQAnZvaZzUDdm0Jnify5wknbU9Iw6HDL6tZCMpVwygiPs9g1ipw2pjwumaTfYqv4G0B6smWxJ+GbZ6z7G1WhEE0HOx60x15QJPDUQQqw4rG4KpYPz1NVsldrvJcyat51pLgJzA1PazqDWyftyXmlcVgajtloCjlac5W39RVWhUFcKOrtufq13WeuXMGf6rsurx12QoV7vvO+3UqirV2qdE+E2P+8BHfQ/Sz4E7hqivS64le/cyoVR8+CaJ/f3jdZJ2m3N6107KArsOAPl5qRyi2cx16I1Gul65vcvTwlcV23/ps5o/VcWxPBxSYv78OefaeMxa9sWCDuDHx/TikJFnZLeLMB7z+n72M641Dx4wBpzNmMienJCs0PrmPddtexfu4oJJO5D/BDj/Z7McbwK5BOX2FsXlJc3PbB9xFuOk+fCjHyVZPd5/P5dg3t6iAFANBtl5/XBAsV7z81WFyjm2a1RsMRggeI/wne/wnT9/DvfJJ1QFdLs0hgt08C8+/hiF96isdj48fMjWaUWROlBE71E4h6oo4F+84P5iCqvCOVTtNs3d+n243/kdMu4//jEB6RjhPvsMYTKhhP5wAM7PUXY68EdHcLsd/OUlqqJAo9lE2WhwjxyP4Y+PcXj8GM7M6pzFu3E2o8zegM7YaqExn7N93GwGZ14o8iOIoxE9BUypFLyHazRw+Kt/Ffjn/rk3nw9v+XiXoL+FYzqd4koyCzmHq/b5+Jjo2W5311FcgYQSUMkqVSMjNkaLuUy+AJ5T6J1AAEng64mVks/1mouK6qAlZTfkLCUJcjnXgiMAYTTKcnm5u4eQ2fAYGUTqM+q3ruuv3+uzZ8kpE7/927wfOXHKUXi3y/enJEDPYLPJAIiCtxrKivk8yQMxHOaA6PaW3yvDNakUdH4ZpCkJ6Hazy/58zqB1OMyMiRIG/X79T7E73vPvxpgneZltsiff+hYul0sGiGL9iyJL7JU4WJAbGg34Xo+tfm5vc4s3Bae1wDqMx3C9XnL4RLfLtnRin5pN9vDVM5YEXgmzAAUlBsaAxQYdRKNzRDRVQwfwGUt9IEBDwaIxkEpgXbNJFjEEeIALriWJKUExKVvQGBNTU2dLgbu13xoXYirqhzHTqhlTQp5+v6ZucVVFF1TVjSm5K4os/1PSoGuogxMmU08yUU9THGy3meG2+3c1NjcZ/lmtd7RnB2dmb/s9Tvp9XMznGYgSwLVYpJpS5z1VG3Zf3uqgXbdLWauCRYDX5n2uRTX5mcZx0HPWWmStD50BPK6qyMAJAASSkaTb7/msLaFJtZerFYP5aIZV+r168q+Et6qSysiV7G+bXIylNvCUqad6QKmNGg2+B4FgVk4iYx4BVd6+L2h9FLt6c8PadCtBiQIsG43kdp3GhCX5zkAGjbXUZ9qSVjefp/7ucTSC6/cZvBQFmVproaekLvT78MfHOcmzpB/OcW4cDjT1qXugGDgSh0POaauNPO10cGV9xtO8FjMuI8yiyAGv3vfpaVYvCaDdbvmcHjxgjeVux2Rd80EJq66p3c6lJdYvF5MJv1vj+L5KSfeq51Fbq9KaL9arLPOc0P9rTgtsFrBoygxnYyc2m4ltSl1YDBRLiYXKpVQbvtvdNRfVnnt6mgwzU8nHcnlXedVqMdBWQmMqtegcwVUpwGxORec4v6+v+V7VlvXAuvIAwHe7ZPsFiEiNoxKQ+8nvfQY7Wl9qA/+DWP4YcfrwIctqtH/Yvnon0bTSll+KVReQ+VUY4q96KFEXOAEkJ3VvAFLQ+Poqxxex6vV/+7Jnovdh+3KQwgR4s1r1+8eXSdrr7x5IJVpJVaUYpv5ZK9dBVeX70BxSLBQjy3ysfe3J8TEub244t1T60u+TgT8c4F+84GcN+HFXV5mkUtzqrMtGs0k1iTmIp/aOpgYNDx9SMXR7m8pMIkDzsn6fcdBqlb07hkPKt1sthF4vy+uLIpvoNZvAy5fcbw4HgmGKEYdDruPrNYo/+RPEGBEePeJaeHNDXxjb89xwCGfteZ0Zb8b9HkWgc73WumCKOAwGwHvvwd3cwH36KeJqxeS8LKksGI+ZBN/cJKA3xbzW293ZWha3W3jzlXLq+14U9E9Ri7ObG7gnT4BvfYv3+9lnwIMH/K7tFtXxMVy/z8R/uUQxGHD/Xi4RNhvAezQBVKayiKenlNgfH8P/9KdUHG63qAC483PuoyEAZ2fcu/Z7VN0uiqsr+OUSo8ePcXU4cE3Te7i54TjZbindHw5R/t7vAf/8P//mc+ItH+8S9LdwTKdTXP1X/xUXALFWSpi73RxgluXnHXGBzH6pLVmMnGhKjoTQSw6ooEB90ZWcSW6omtXtNkvHu91cS6dAQ87vx8fZIVwJu+TkYh222wwweJ+ZagXDkhfO58kFE4NBltrJNE6I8Kef0nhov2eiPhrlGnYlxnXpo2rulXgJrBC7KkmhybFSoNhscuGyhDuGAKcWbVI2iGkTkKDe7kq61Xd+NstsvVrW1SXLIaQkMnrPJMeQ4cQgSfkA4GQyYbA8HGapptqumZToTi/feqJkwVM4HOh2enmZFQAKaEcjotKTCZOJZ88YoJ6dZRRcbK+CYSXUun/JkRUYyydAwYIhyGmTLgrWtmpzlTIAyLJaCwaUuIgB9SY/luRXYz/WpNbQ99STFe/vSmQBXrMCDDHDSkglB7X3HgEmdwo6wQBeSWus19gpyNbcMKl2+s46g7teJ1lgYvsBMiM+m+mk7xXbbiBdtDHjbE5GM8maPnqEi48/Tm3UcDgwwRUostkw0C7ZhzUqIYcpBGJMyTGcY6sZqxeONoZTyyLnckKusQHw+8x4LpXa7PcMbOya3GaTjfZCSLXq6n+b+r7XAQ/bp5xKKqqKMn6bn1FAn41zt6PbeQInWi2O606HAYJz2XxNYIGSmLJkOUZRcF46x7p8u5eoNVxKm7JMCXewJM3ZGhA1L+05OwMdg707b2t5bDZZliIW+OaGbrsG2oZ2mwnvcAgvFlrP195tONA5GTXZZipzssBRPgJutSKgURSI2y1OJxNcPX2aa4w7Hc4FlSLJKEhJdVlybZESSCoZgSOrVU7Wx2PWRbZaXH/FgAvU3O95XrGsZZn3y8EgA8/NZm5lJsDTJLHJa0VrkcznLEhM65jmm4DpGFP5T+x2Cb7FyDKVssyt9KS0kZJsPOZ61Olkzw7vaSZX34fqMn5J8k9O+Oyd1ag2GslLIcUIrRbdoi1xD80m1R0GmDsZ+h0dJaVKPBzgz885Xo6O4CYTzje7tthqMdnSXDLWOFrZ0OcSyFcx2IcDJarG0p0+eIDLy8ucJG63lN96q/G/nwSKVS9q/htf5bjP8v8qjvp3GAgbgWRm6GP8xYCG+vNU4vu6+1CsozKC+0ZwX/EaZAb4SpDBYhX5wNT9JFLP86LIPgoh5HVV46gsuZZqbY/0xHDrNce87S0nkwmuPv4YzjlUvR5Z23YbTmDP0RGfzW5HQ7aTk+SRkMo3VqscS376KX9/OuV1z2Zcxx4/5j622aDq9ynF3u2A+ZzGc+fnnGsxsltCq5WMIVFVjEUHg7w3t1qMFZ8+RTS5dux0qFYzd/fYaABPnzKu6nQoCy9oLIfdLs15ldxEgHvifE7Fhq1rKSYxo0l88EEuh/zhD+HbbfYTN4AunJ3B//znCEWBYrlEKAq2kwuB1384JILDe4/KANXmbodS3jIxwo/HrIlvNhGsa4f/kz+hkqTTQfHsGducnZ5ynFxcJOA/StkVIxXETeuTLjXUBx8gzOd8/s6xHGa9Zv2/kTXx5ATNiwsqBXc7VOs1GocDytEIJ8Mhrmzvj5X5Hw0G/P0HD/guZzOE3/ot4N/7977S3Hibx7sE/S0c4/EYi//4P+bAtF6NmM+ZzB0ODFyUzGkjU7KshVfJUKORjdGEohtTmZgDnUtyO7EP2gglPxeLq5prBSFArs/tdHheM5RIpnJiFCXja7f588MhS831/w8f5gRUUnsZ15nJRaoXtOArSYYPB+CTT7jQjsfAt7+dmZk6m1U3w6uq7O4u0EPMqrEedxJ5BYpyw1fAeHtL6b1QS8kfFeTVn3VZ8neOjzMrLuBDJkQ6FEx3OpRQqeWdAtzFAlgsMGy3saiXMOi6Gg0usNfXmd1Skq9F3wL8ZAhWlvye58+ZdPZ6yXALjQaDdjNe8c+ekc3s9eAePEBYr2kqIvaiLFP9dwKRjM11zWZqE4fFIiepkwk3dW1sQAYkjGlN7wigqZwlib4s+Z1KlmxzSay61q66okDMk86ndw8kBiAxI/q8WLaStcVJ3m+/pxpfOGs5pIRfY1bPQzJl1fW129lLQXNb804JhtWfJsM3sfkKosR4yQvAsb49yW6tLhsAxu025mVJKaqtI87q1BEjpewAv1PXbLW0Otz1NTc9Ywpio5FNBo3dT87hBdtDJUWOrsXGQdRcXq2SF0E0CZpkxdFk7lFKiPo71X9ap4D8TFTzaD93Ji+O6nyhulkpY2rJWxRoZoqNNA6qis+i2QRmM9bR2bW4wYDXqo4Y2y3ZEwFrnQ7ngLHSKfi4vU3lEbHJPt1eCopuF67V4ndst2wtI0Oxfp/1gmdnTP632+w3IWBSwJftDU6JoPe5hc5kgmDzzglk0f0vFgwMWy2Mjo4wF1hlgJUMx+Acg66iyKaaqnVXSZLAqsEgjxex77e32dH94UP+u0otBGqp1EjPXyCR2jpqjRV72GoRRFDJktQ0Kg3SGldP6Deb/N1izJ3jZ/p9mgNKwaIWhVIpAUlVFIuC7Jz2uToYaUBt7Pdz6zvvc892IK+N4zET7IY5yhdF8gSJ6zXnDMA11ICsYKZPriwRt1uy2vs9XamHQwILVcUgfrlkAvDwYQboHFsbajykNdm5xKDBuc8njvcT4xjhFguMOh3Mpa7wPrcs2+95HwIQ7yeStjal9exVbO6XHWKev4gJ/joOfYfuub53lGUuN7ov7X+TQ0DcFx2ai86xrvmXNYL7soS+BlI7IMvTLRa80z7N5PmwEqMUqxY0gNP5YIm6X60S+xyd9epeLDD0Hgube6Hdpiru2TMa3JrRpru9ZczT7zOJM9OwZJo5mVD2fnHBMd5uE5idzRCnUwJUNzeJMApFgeLyMpd76N9aLa4t6qAxmbCsZLnMwKT2bSkuLQ5wij3MzA4A/A9/iDCfwx0fI37rWyxZnM3gQkAjBJRGUsXRiHvtzQ2f8W7H+Wj7aBgO4ZtsXVp95ztMsn/0I5oEHx/TUf3ZM5Y7eI/GxQWqZpOS8NGIBnvmB1Gs1ygBFJqfyyWCWkdK1dXrUdr+4gWqszO4730P4foa7sUL7n/LJdeVhw+57llcn0DzxQJ+v0clILDRYA/zTgd+PEb53nto/OxnKFWuYKx/dI4K0H4f0TkUsxnKbhfF7W0ym41mNjw8OsLKSjF9u42w3aIB4PDeexy/T5/CAzj8hb8A/PW//ubz4y0f7xL0t3T4/+a/yfXWZgiWWOybG054BZFKWIWYigXUwqeWbDIsEyMwGGTJnpJ9GdHV5XNKihU4KDmRW7sk3gqmFHjrOiYTTk6x4re3OViU9MiQRPT7mRV+/Jg/k9zSuRxoihmX1LHbzaCC3NcvLoCnT3mN77/PRaVuggfkYKpuxKPrl7swkCWQw2FOKFTnrhKEfj+rB6ymJ7Ew9UQYyPW9UkNIxi1ZpMAOgRCdTma3BA54n2qOcHLCP1er/I6Wy5zwq4+wsXopGZ5OkzwbADfDWjLnnGPQJ7m5EtS6EZHYxdWKcqtWi5JJ5xLyn2RuFozJnT2pIJpNsj1lme9BbMNolN2jAcoGFbhqbOpZe5/6C3sDpVRHHKuKrUXqE00Bvd6TJVzJ7E7ndOb0KoO1unJEslNjU2Os9V4XM6hASePepKR3gjjJGfd7spVigC35SO9Fdan63bpU1xJO1S/HunrDNl0xw2IhozFYqueDma85u/5YVXxfYrMtARKKrVreYN4SrqCDdArKrCYs1dtvNpSVVRX/X+ykJTLOEPn0eQvYnRJyKW0UNCrItYA+9Xy2OZBq4CW3tzr7CJBND4FJj2S5MTLoETNkgJcSEymRoveUq2uNMIlf6p0NJKl43O0S4KRuEbHZTN0evIBCzzr0eDiQtdGzsNo5qPPBasUe14MB3NkZwpMnDP7nc4TVCl5rl5IpjZPtNiuLIlsR4f334aSWaLdZ8qKa5MOBCeh9Jk7PWNJugRZav7QeN5tcH2cz/vz4mOucACiBbkr+j44ymDkcclxcX+c17eSE55M6aLPhZ8/OeI01NUTqLKKSoLOzDG4LaJxM+Ly8v1vTLgDbOQbt+z2vuS6F1/7WamWTVfmRCNwBOIekMBIYMp9nE8/xOEnY07OYTLjWiFFX+VlZZgPXfh/x6IgtkwxYiN4TSK3JeTEeJ4Ar2HW6/Z7Andbafp/KqGaT64OC6k4H4fiY5UfLJeXmAjh2OyZmtvah1aJHiN33HQn8q+Taq1VycHdWzhMbjQT2p/VbZpD1xFTy+V802b0vx/9VHPfBgPozAFlpNBp3S2t+mUNgiO7tvhHcV63H1979qoTe4kMHpD1BkvbUPq0G6EZTg6WWazYHU3IOA36qiv3IOx0qP4xMchcXJBBGIyZYnQ7c7S0Z38kk793LJRNlzUWb5242IwDd6dCl3DkqiwDO67Ikax6tLr3VSkCKf/mS65nJyNFs8jpM5u7abbLwn35KUKnV4jkVlz57xuvZ75P5YrQ1wjnHXuI//jEiwP7qkwni9TVbhYkYstId1+lQVm5EhfbsxnyOstHIrVCfPOFae3UF9/HHXMePjvj9L14wHry54boNICyXLKUZDFDMZqi8Z8JuSa6v2CkiqWhsjQ6dTiq5jd//PtzREfCTn3BdGQxyHHx2xvpzayMZJxM0NxtU19eIjQYajQa9TErrMmAxe4iRaoThEMXtLVVKP/85yqMjeADu+BhhvUZjucSh04GfzeD3e5T2HtxgQL8cAzDdcIgwn6d9s7i+Th4CodFA+ef//Ls2a2/r+E1J0E9PT3H9H/1H2T0a4CRotThRJXutu6CbSUZKCiRTVGKkRFAGcDHy9xXQWHuJZO6jIFiyeNVDS6Iq9lm1eZYYqXYzBRLaWCW9PjrifwpEBAaIvZzPeX61WNjvGVhZW4z0eSXJYgV1KGms15Ja30NsNvzuuhx3OMwJmhgUuesOh5lpr7M98gUQm3l9ze/S/eoa+v1sEiJ5qd6VNkpJGPV7vR6/V89Giaeeu/W9Vj9k9PtEVOdzHPd6uJYcUqoB1b7qffR6uWRhs+H4AfhcVDMvoMX+i2K2VE9YQ5eTlNfGZqqPPj/n7xp7lUyIxLwYKxyt/t7pGu3ZBefoLK22c41GkkBHA4Xifp97nOoaOp08LmSgEiMDWCCb5MSYaz0twUh1lQokDofcC9reVaopMylrkmVq3mm8KziShH+5TK3OJMH2thklUzYxD/t9Yn9TAGkBdnRmblOWrDVTALjbJTl7Yju2uT2dAzLrCuQ5FCNOJxNcmnJGzGIKJJQQbzYMmJUktFqsbxN4ZOCTs+ebWobV1xkre3GmzIlAYk30/J0x1nHLtmrucMjtnmoJdNQzlrzZAA4lJlHrSVXlgDFGJgLtNt9XjAQhPOv+fFUlFtjpXsTqWEKL5TIH3JYkaS2QuVpiVJwjyKX2jQJDDeDx6sgAJjleAJ4ZjAUBtCaR91INjceI77/PZ3hxweRefa/tfkKzSSZ7vaZUVGzO8TEdig3g0zhPbcqUwAsEtXVS6hS5MytoPykKXKvHudj9GLkmag2V9LPXy6ootfhUGZXq5AUECNDyPifVYs+1BmtcHA65dejxcR7flhQA4LWol/vxMde78Tibwo3HWZouIFSGbAKWHz3KMlitx3qn2geVBMxmeT2oG4d2OghKPrWfaf5bmVNsNjMoYq7IXntSs0mVlkAMrY1HR7nHc90ET6q1ELKst91GsPIFZzLiZNjXbtNAqdfjfFKirrV8OCTQJ1ZVCVQIBJBipNxf6yhwl622tevk5ASXMgLc73l/BkCqnjtJ2ddrrpVFwYTtfjKr8au94aswxK+S43/dhxJmPYf6d0rWLfXBLwgW3DGCE3AM/GJGcDrfqyTtNYb+To25QGxj6ZPJm62hEciGcbbH6J1pnZHZaDI+bbeZAC8WBOa8x/GTJ7i6uWFS5T3HtBJVGzOpFazWhv0++ymdn/NcNo789TXXtrMzln/ZuA4GvjpTbbqLC/5ZFAinp4gxMmEcjwkg67wWE7vBgOvJ8+dMFBcLmm5uNiQzbJy6Tz4Bnj8nUGptJ4vZjJ4jInMmE67XZZnaxMHAWs3RMBpxX221ED/8kN/5gx8A5+doDIcoJxMaqd3ccO7f3jKeWC7RiBHxwQOCyBb/R5myFQWl5cslJe67HaqiQCFV2E9+QiO2738fbruF/+wz7j9FgcbLlzhY9yYnYsj2CD+bwW02qAYDFNst9+X1GlWnA99uo/r2t1m37n0qL6jU51ydO9ptEkIqkZjNUJjSJ4qUsrF63OvhZr1GY71G+fAhim4X5aefwlcV/GDA0pPRCOXv/A7wL/6Lv9AcfBvHuwT9LRzT6RRX/+F/eFd2e3TEhVY12RqkknldXGQ5uBJIJZxAZtcPh8xsANmgRjWDqkO/vc3sgFjsoshBiQKS+wy3cww0rM4Uy2WWOBZF/p52G3jyJLMokgvbhp1+T8ywzv/gAa9LUkSAi267ndkXBZYCDGqIfWIutFmazCpJf7WBKFiU5L/T4T2pbrws79bF73b8t/2e16IkezzO36F7V/BnzF1iQWXu0Wzm56WEU0GgDrno7/cpaD359rdxeXGRa3dkPie2X8l6/T0PBkyEVLspN9SiSEF9AODF+HU63ABVclEUvH8F3gKBbNFL9bCjEQM8gBux2MLdLvdy7XZ57WKNej2yOiapxWzGe7ZEPDrHRB3IyaMkq+ZsCiAzZUUBX1UI+z0Tbp3DpIfpWakMA0j35yUh1sYpR2MliAqWd7sUeKcaOzuPM5Y7ir0Ts+09A1lJdMXKq2xEsmpj91Rj5ywIizFm5Yvud79P5nsJcNntcm9ru34H4HQywcXlJQMsY3Cx28Evl0SebXxFtWATK2+JmmvSMTx1SRB7JzVPHZCqJ+SWpPvDgUmLMeRRqgiBJwCDdY1bS5r84cAkdjbLPhzGyHgLCtV+CvVnDrBGHmDtt9YDU3ak0ozlMiX3CWxQixypdNZrjo2ioPldu52T/mB1mZYwubJMPg1B40r1w9G8BTabBMKg0SDDPx4nVUOcz5nMaJ4UNJSLBQ3hVBvvZKB0fIzw0Uc0FWo0COqYu7a30qkIEOwSs27roMAkvdsErElh0mjg5L33cHV1lcCCJPH84AOu3ctlLqXSulw3lGu3M+hclrlLRo1ZS0ZqKpnS5+oJsNb5+ZzfIaM4AczycQAya99qUSL/4EFOtMWAKTEXYKF73++Bhw8JRFxd8e9HR3neyxR1OOR/un/n0tiVkiI4l0CUO3uwebnINMnpnJLpinm/uMhAvGpfx2P6hOj9xohgsuoEeAswGg4JYJqyx0kppfV3PGbgb6qXBDbLh8RKKGKTXQacxRtK0gR4JjMwICV90+kUF8+e3e0BbrWhzjk6Rtvrj1o/9vu8RrxK/l5VqSc5rGzkKxmzad7/qhN14E785SI9ApwpUpzN5ze69hor7w8HgqZ27b+QEdyXSdrrigCtT5K0l2VSwzn7bLR9TQrCBN5b607nap1bas7qsdfjd11cZLVgk+aop8Mhrn7606RQcqbCCqMRr00KqV6PyZtY7PNz3tfJSVL/qP4a1o4yFAUNZjsdOGubBilnpHJ88CApd+J4TNNcrTeLBd9Zv0+AUmbFUnEB8CcnXG+3W7iPP+Y6fXKC8PAhcH3N+WRxQdHpMJk+OSF7fXtLUMH+DItFKlOBc3AnJwjvvw93e8vk3OZqHA5Z+y5yYbvNrTWlwlks4NptuPkcoSxRTKcsVby9RTDz0qKk6Vy0ssPGy5c4fOc7wIMH7GU+m8H3+6jmc7ZHOzoia29O6TKQq6wdW/Q+Sd2L/R6h30c1GgGDAR3uj47I5u/3cJ9+itDpoNnt4mDrvZ/N2F9+tUK13aIpFc/pKYIBeq4s4YZDHK1WmO12qL73Pbq6P3+eWuEVgwHKVgt+uUT55/7cuwT9bR2/KQn66ekprv/m37wrFTcGM7VfUXAAcIJqYVivM9vb6TBIMtluktcpeK4z5WLONekVvEiyqNpA1WeLNavXGMaY26wJxZW0WsGOXNnLkgud6qSn01xfrFY0QK67V9KvZF5GbQqsAD4TsTbjcb4OPRsx0UrmBCgoqVMSroS6Jl9ODJWYn90uSU2TDP3hQ/5dLuqSPkpSeXSUg0+dV3X4qmmSzF33dXqaQQPdp8oVpGw4PUX0Hife4/rp0yx/FyNt9xN2O0rILy7y2NE9y3xtPs+188Mhf66xo88X1qMzxhy4VRXfrRKHmgIh2rhMtZrTKV1X9fuSxumehkOkfu3LJSVlp6dMaG5uyIQBuezD6krhfW75pUBdCYE8FAYDBqViqrds+ZXa1Vhw4415jpLpDwa5363GVF0togBdnxGrbYliAluMeVAwE4HU7ixaguskPxYLoP8sQEJV8ZluNmS8Cxp2wQy6opg2yfFNbi7GVH3RJZk/ffQIl2Z0KNmrswA7yLzNAkZvaoHIE2SDKpOPw98zeVLAHAJZaSXtps6JAAMyzRGV1WhtqvXtxm5HBYekoWLOxcjb/yvQTfO3qjLrcDgwkQ6Bz86Mfpy1PYvLZarjr7eHApBrOAHKhQPd2qPAmpJeC1EJ/XbLYMo5SvU6HdYjHw58X6qBNqMdrYXOJK+x0Ugy/VT6IXbUpPaxsNY3VQVnyRnGY4THjzmOre94MO8Kd3PDZ1Vvx2bBsoDbqLHY6XA8iDk/HDjnDDSKqxVOlktcv3zJZ6vSIckSGw0m6loXNR5ULqW9RwDk2VlO3m9vszJJ655A4VaL+1qdqVcpj8aPAE2VPSlJFoikUgWZdB4fM/EW8yeFhs6lpF7PYb0GHjxAPDqiWmi/53qncSKwtd/n3qW90UCeVJtqoE4oS4I1MsmT4mk0Yu13WWZmXOongZyzGVlwlU2ZcgOjEZMNlYeACU1Swdj4h/UdTuzu3tpvaq4Nh3Tv73TIuN/cJDA2Hh0lJh6aywLEbP0LANtB2brpYsTJ6SkZdBsTd+TvNl8ly46R5nvJYK2qsvy90/m8aZwYaoub1MrrjQ8lzV81wX/TQyw0kK9LpTS6ZiAlsF947VqP6h4lQH6eX5WN/xK2XWad6bkY868kCCDQkiTstf0qKpay91YHxV1Zsp95WZKtHQxodLlY5LKjomAyNZ/jpN/Htd6t/Bc6ndwLXUopee3sdowLj4+T0jOaGzoePeI9bbep20ysKrjzc7jRCLi44LU3myQXOh34i4vkM+MuLjjeFbMqHnn2jCDtfJ4N8OpdfC4v4T/5hJ999IjfYSU/sdmkKq/dpkzdexRPnyLAQFSrr/eXl6gGAwKF3tOBfjCgydzPf579ifZ74OlTsvamCmjc3iI6h+roCLHdRmOxQGnn9JMJqlYLhZVKuUYD1XrNd2wKWPejH3GP+jN/hgZyiieLAsXVFaoQ4B8+ZOxwe4vCezrrW8vNMB6jsPEWVArR79Pgr+YJ5S8uCBxcXiKMRmgCCCcnCLMZmvs9Ds0mGosFQskOKq7bJRghEsri/Tib4eiDDzAbDhF//GMUVYXQ7bJTzOkpQcFAn5XyL/0l4C/9pa82b97i8S5Bf0uH/2//25yw6lnrT5mrTKc54SvLbLJTD5LqNctiFVUHq2AGyMGLkkeZoUlGZG0VEEJOLqsqt1q7uUm1bOj17iZqqlPX9Yl5HQ55Xsk45XCsRFxyyjqrLumK5PgWxNxp52Z9XmHoY0qgFPSLbZOEWvI/yVOlWFCiIEmlnp0kjsfH/DcxCyZNTTJH1YuGkFudeZ/l+0og+/2c2FdWT65ET4lmUTCA1buqB5tKPuTyK8Zcm7Ztuqk9UlEgLJdkESVPVeAokEDqB13HeEwTGLFsAJNWMZvLZWpPkt6PyhFkjtfrcQNUKz9L/lL9usa1xqYpNlItpvkxBANzvAJFBZdiXptmPBcjf1fBsgUFIcYkWXedDoELJXygJNP1+0lul7wCLOhITtgCOUxKlyThAoImk8xI1IM+e2apJZIx8zK3SdJ2IBsi1ZgQ5xwReNuEooAaXY8CGEtQHMhcOVOKRKk1xNxZ0uztXmOvx4DCghYURa69VuIjpYqAOI1JBXnGrkl+GB2dpx1A1F6lHY1Grq2XbFmy27JEFCshyXmNnU7+BUosvOezsxpbdZCIITBpF8u33/P5xUgmBIDrdlOtmtM4MKDSG2MQbQ12dh8RNXZPgMz1dQr0YlHwmcr9V/PdSgmCmb0lqbndV2y3Wd+/WORSnqKg2sRKbqL3cObmi+EQ4fQUzns+8+02gT24uuKzm8+phqi/o+k0B8vyCLBSHCfgyu4z1bO/fMngWcxtv881xyT/MQTON3XAOD/nn0+eUCIuplwgkv5fapIY81qpfcSMKhPoKEYeyO09BV40GrljiYAyzcl2O4PN9daWxnJBQejpKdmxWklSbLUSQ5wASa35oxHCkydUmkhqX1cJWClSOD6Gb7dz4ut98k1IrHpRMNlQWzrt65MJQUjNKwNxEmAAZGM93avWfzNHDSZRTeU9Wp/1Lo6O2BNaCZrVAzsZmNreHEyy6mYz7m8quxCgE0JWrug8KnESCKQ5ixqDfl9uHmMywUItUU9O7wCZuQPNNQXS3jnKMq+zRfHVku46Y/xVZPNverwqUQe4l5jSKTYaXKeQ1QdpT/Fs4xZsrdbv4he43i+UtOsZ+FrbtBpQibKk54j9fyIStHZoHFrZj2uww4rGQzK3FMD+7BnnmikTk3fIcsm6cMWCQJ5jptqIjQbrxwG2hL2+pnnn2RnXzF4vJdjx4UPuMRZfxk6HxmNlmcd2ix0RMJ3SE+Tmhuu9qaaCxS0+BAJYiwUl6E22d1N/cpXouLJkt6Hra3r0TKcEUKXm6na57h4dAY8esW7e6t/91RWZbIA/PznhmjscUgXQbsP9g3+AeHmJ4sEDGqedn5Mttj7vfjZj7Xq3m4C0IgRU8zm9IMy5Pl5cEBA24C3GCDcasR7/009RPn4MfPQRGtfXqCyWczECV1cEWB48gN9suH52uzR8u75GWRRwkwma8zkO/T4aiwUO3S4anQ6q0Qju9pZ+F6Ymii9eJAl62evxfpdLmh82GigMuC5jpMrAwLiodXW9RmO1Qvlbv8Xn9qMfsfVaUaAyZZq39Traul+99x7wT/1TX2nuvM3jXYL+Fo7xeIzFv/VvMVARW2vy2JTU2cKUEvLRiJu6EFCxRzIXU62xNuyiYOCgAF2yLrEOQJZjK0iWiZuCE4EHkgZqU37xIn++2czSOgXTYuUURAt5rDP5dQmbAIhWi7+vnrfDIc+pXtnqTSuTovk8t3ebTLIBnaSuSl5D4PM5HLJ0/MWL3FpM7YbqkmYl5kJqJTFWQF1VvN6jo3x+C+buuNB7n5kZPYc62KHNV4CEyboTk6UEuSgwLAosJDc9O+MCq2dvAY3UDzFGJgnNJluGyOlfoITq1C35TIF1t8uAXLI0vXtjMpyCcik4ZJiiIFD3LuZMweVgwE1O0kwlVkoKDdyJu112aT0+poHJzQ0DRe+TtDXVuhlzC+cQV6vE6Ggx91VF9NWC35SwKOmqXUOssUJKAhNLofpTm1epvYySn6JIrWKiXVPcbhNTnWTvkt8LWRYjW1UEESwQU+DiD4dci66ERNJfJRVVxXs3VkrrSPA0YxmOx7i19y7gIqp+HcjAlJJ8Y3fvBJg2R1N/coD/buM8BXA11jDVGUuSrRo4Se0FQpmkOhnUWSDpxG5st7l+UeyyASFOTJvYdgX73W5ywI5mNgVTB6gXuzNgQq3kkqO6GODDgcmqraEpGN1uEc2ZNna7lDb2emTaa8Z3ejeh0+GzWyyYlEvBst0ycDWQ0LXbKRmST0Ni3gQOXV6SZdF7cY73LOBTZQ92PQIjnPWOTe63xpBhPqfRj9Zvfb8F4sNGA3NrA+RizIqT1Sorc7zPks/TUzLqcrXXf1KjKAlWEq0uGSEAz55lAFVBuvYTleyojEfAp0rEbFyntV97mtWwpjGupLrZZGBv8tG6aWU0o9BUFiQZbLuN+N3vMvC/veU1CCwXwNhs5n19u82u9trvDPCJBjJ6MYAaE+YVUq9dFuCSumWs17ktqEoC2m2ygNpDVbddr4MXUGIu8UqCdf1e+5Ku0RhOt1iQVQf4bNRpxLkM4AoENkf44dER5uqrbMkfUJOXS25u6iFn8805l+e499nJfbejAsE5Mnf3WWAltZrX2gvf5HiVNP3rPO4DExqvUnmFcKddZ6xf0y9rBBdCrg2/93t3WHPJo6XakYpGDLqtna62V0RLoP1mQ2+PTodrlSV93nxTwmjEcpHVKhkaomntQnc7tnY0xd2w1cJitcpdZSwWjVbnDQPWcXXFdcpMQGOMHKMPHyL0evDmJeJsjPrPPmOd9+Ulk9LBAGEygR+Nch18v0+ZeYNeKXGzgfeeifjVFev/TXKfgOLplGP8+prdhZyDM6IlWvzjDGyMAjLHY+CTTwi+NJtoffYZyn4f8eqKILKpMv3ZGZ/dagX3D/8hlYbDIZUIP/851/HhkDHObAa33aJoNBBGIwR7724+Z9xwfExwQR4uUk21Wlxvrq/h12uE3//91I2iMZ+jNAC6MZ+jOj5my7nVKsW37vlzhM0GxdERFTS21xbrNcrpFEWjQfZ+vUb44AMUL1+iOj9nr3lzo5ePULFYoLRxH7ZbNGIEGg1Ux8fJTNKHgNDvo3F1hdBqIfzO7wAff4zhZoOV9zSxnE65fuz3fI8PH3L+fPIJ+6C/c3F/O8dvSoKeatAvLhgAjMfcmFUDrSRCbF4IGb0U+yCEvr75h5B7o8u0R+zgfp9dL8UwK7DTeSyIS8mbJTWQvEgBtWTd1v4rSVXrzL2S3HqtvDZWMfRKyhXUC5QAcp9zGbB1uznhPz7ODI7kitfXuXZfjsUA/02bWrNJ13cl3Q8eMLFWLZOCQCV/ut+6u3q9Py+QXX31DGYzns8CoTut4sTmGxue5O8mj03XKtMfsY4A4BxOHj3ClZQHCrpUEqG/6/2KybVkKTabNMq6vs73u9tlkEWIvN6DvYPYamUQwBJkGfm4iwu+f5NRpnZPUk+YXDHJpMWqdzoI4zE8kN+3ErBGg+y2lAwmrY8mj/L3wQ1rvQIw4ACQeoRLfi0ZXfqZWAQFrxbAOwW6es8GSLntNrNxOr8k241GYqlkxOW8J8Naq3WtO3bLsdgJbLOkXvPnDhvl2KpOBnLRgtlojssyN1Ny6cyQSj3Q4RymR0e4+Oyz3GVAc0agguo59XMrDdBY8KsVr1uMuyW/QUi2xm+dmVuvmRhLki9pLnDHnEzSZGdzyIVAB/aqIjihxNq+WwxKktnec/p3lmy4WvKsbgXosC+tt0RCcyQYMOCqinPETAnFiDsBTabiib0eWXCrnY7NZu6L7bP7vpvP2fpQYFXJPuro9fge7f+d1ocQaF7kaMYULBF0+30OjAWwAQySpUqQvNLmcZzPyR7c3mZlgcbxzU3usNBqkb21uj9nqpq4XsM5h5PTU1zN53dbb2rO3POTQL/P9XSx4Lr0+HEyRqsrPpLCar3OiqfRKK9Fl5fZLE4JufYdzU2V5WgOaR5q7ms8qoRKXiKSjmuvMWY5Kapqe20cjVLddKoNF1D44Yf8XZWbaQ+WWsxb2dXpKQG7ujLJ1q4YzXANoO/Acpll/70ef1cstLPSGZsTTr4gUnCphWK7TZdr8+4AkMuC1HpNgMlggHhyklUitiZ6SVoF5LfbZP8qa9O22XAfmEwIPBm7Wd/HT4+OcPXyJeeD5p7WaSWhkrsLKGw0uIZqb60fWqMiS6NcCEzUBTLoUDIsYqE2H197fBHj/XUeX1QHv90y+XCO/dSlXAJ+YSO4L/y9GkOf6tEFKvtcApLAW8nQ5aUh4FVKqFaL7Kt52sQ9zWbjaESV0YsXiM0milYLwQDEaEmbZN8wRdzJkye4uLzkuRQbaU52u1y7DgfE01MmmO12agsZPvgglXAAICOv7jSDAfDiBeOZbhc4OyOwKudy79n2zEwRU6xSVVzDi4JS716P473dZveHw4H17C9fslPG8XH2GjHioTgceN/vvw+328F/9hkqI7bc7S18o4FwcwNnsZXv91GdnVFy/6Mfwb18ifDwIZ/TbMb6bZvjuLlh2zGLK6J1xHHzOfeMyQSuKOBevmQ7Na0hkuWPx3Affww/GCB+73sI6zVl55sNx9/tLeOuDz/kuypLEglVxbr/GBGOjgj8Hw6AwJbjYyrUqoqy9MkE/pNP4J4/RzwcUA2HBBPMl8htNry/zQZxt6MZXK+HOBqR0DFPgtBo8D2+/z6BkL/391C02xj3ergBWO8fAuMt5xAePYK7vmar4GYTh3/inwD+hX/hK07at3e8S9DfwjGdTnH1n/wnXHAOB26ycrM+Ocnus2KfVRMnJkASN0m/lYSLZVaQIMm43N8NiU6u2JIHKtFQEC2jujoLJomikvVmMzPLIZCFqTPQksgqONPnNa5qctZ0DcY0JWZfLEmvlxUCSoyUXB4fZwZEiasCOrmuW4CQGATnGLhdXvL8Jyc894sX2blZzPZodPfliYmoJ+raxPRuFCQqeBO7r01Xcv6qyjX8Ylr0biXp15/NJk5Goxws93oZ0ZZvgKTg9eBbSbIBALHb5ab58mV+z0qUJpO7taMCglSLaAtpYrw7HTL06zXfv3O537zaLHU6lJN6n2WqSpQ7nZxgSEpnkkY9G/WNxmKRGLfYaBAtV32pXKDbbSasNqZUq+0AbpaStCrYDoHodsF2Vmiz76oC6iRbF4ikBEiybiDXMCvxloRYCUk9OI0RvtVCEIsH8LMKUqRKsXfujYWPzpHRk4xcSXWzmSSErtdLfU+FHotJm56c4EJyd11jHeQTcAQkVifVhxrLn+phFTTKbEt1lWI7dM81piwxM/oOgWD6nDF9br3m8xY7oXVEQbM9bwiwkBzUVC1JYdDvwxsopSDPmQQzWHmHazTgdjsEMx1KDL3W2BDokD4aMfAysE7Bf2KcWi1EM35DWSZ2O63XMj1sNJjwDYc03TOZazTG0C0WDOx2OwYsejdaT2vKAEynfBZaa3Y7xOWSwELdH8RM2oK5+6b1bzJJTLsTsFdjLeuJ1slohKvFgoGtgISqyq009byU/GvN3Gy4/rVaZI20zlZVBjU1buprvUqqJBVXCdB9MFjMfVFkpY9AOM0l7RfqzTuf54S8DrrWvV5OT/O+JOdoA7qdzlFVqbQAZ2d8H5K/ax1eLu+OgfE4s4J1UEPAh1Qr+z2T+evrPIePjvj8lexKNWHJlTscuP6qJE3r+fExx5yBYUnVI9mt7c+x22UrPwHTWgcuLwm0tVpcA2LkeFLic3OT1nc0GplZ7HZxOp3i8vIyK5zs/Yg9vcOqi0Wvs8xlmQ0vA40kA5ANK5UwmjrwC+XvpoySiVdal153fFEi/XUdX3R+zUE7vlCa/prjCw3k6vJ1zRX7mZRjEIMO5OTdSl6imUE6c0SXB0Lc7+EaDfjbW5YGmaQZ6zUTNCB7YGh/lWJrv08lICejEa6s5CVWVeqEgkCj2ygg70DzOn91hdjvIzx+DL9YpH0jdjqU03c6ZHzFkA8GTM4XC3gz0FRZU1QcKnXgdpvKABvX16g6Hc6fhw/5HG5u4F+84B5ycpL7wesZKuF89IiS9YsLuqePRnA//3lSGWC9JtjV7yMeH7PWOka4H/6QMchkwuu7uOC1HR+z3OnlyxS/BStd8zEiXl5yvhwfo9jtUM1m8HXw6XAg+LffkwH/7d/mnrnfA5eXZN+lrmq3ER89QrFapfnrbm7gbm5QDocojo7gNxuUMSLe3sKfnaHhHA4GMsf336ds/cULntu5RITJ1LS5XKIUEeQcjV1lONzvs3Sr10PYbAgg/6k/RV+Q83PE0QjFfo/xt7+NK/OX8WXJ8oRWC7i+prO9leeUv/d7wL/9b3+lufQ2j3cJ+ls4Go0Gwr/77zKxENsrhlhBlgKaTofBgFjaumxOKLd6pWuBkaFOUWRpc1XltmI6j9hLMbb6fQ1u9Q6PMYMGcoXdbjPbLxY3xvx9SgQkcZTruxJgsfhibusAggJtJZv6/+PjbLCm8ygoGo14DXLlrcvu1fZCbI02QQV3hvQn9l3ydwEOYsOV7GpuSNIuGeRmk/uvG5qclArzeQ6Odf9SNSipEQumQLrO0MKMeBRICz2WUiLGXGep84v1VUKk8xq7E9rtzPLpmepdKIDWuaXq6Ha5+anOEkgu1CFGIpX7PQNdMZVSQQjQUZAuCaZk+Sbrd+02ExiBQa0W+5KWZQ6Q7VxxseC1iFU3CV0KZJdLynrriWOvxw1WiSrAGnuZoFki4sRWWr2uBxnrWFW5PhxIEtHU17wosguxAB3NI3u/TvV3Yn6N/Q2LBTcuzZvCnGcbDf5cEnkx3sZGpHck5B9IgUaj1UIlJlulC3oeNp5TQujNndwCqTQHauZhcI7vT3X5CuJaLSZ92sx1bqkElDwYi+eWy/T7cbtl0BEjQl1tYUqSJIfVe1itEvsTj4/JEph0O+6trdNuR0ZEY8H+Det1CjD17rUmhPGYbrfGGmkcxn6fY6Ys4ddrmldZkufrAGpdvTAa0Wm/3ycLYeqXYPPXlWUGpASENJtpvsPec5xMUus4J+a4ZP2+t2edOi00WMeX1Dl6fzI4k1xb49bmnhzr0/g19UyjKAj8qNRoveacVLszrbOa62WZXZGV7MkH4/SU1/HwYb5OAcU2npKqazi8W+qj7hzrNYHVukKprnQSMGlBcr0bQSq7urnhOeUur+sQ2DoeM+mWOkSATauVa9fVBtN6BOP4mMl6WXJfjDG3oJP3iFRakwn/rrWsTaNN12ymso9oypUEUtj+EAeD1EUg7V8G9Lhmk/X8m01WEJRlcmX3zSZCVZFdqqrcQ17Kg16PPie1Ug29P68uL+osUhTcPw6HrBIZjRC6Xfj9Ht45VNrjNdaklpGM3dYL3JfAq75ZiZn+TQoZ+5zO45RA2jV9rj7bGGNehqmN3pRVVyL9CyTJb3R80fmlLPiqrHn4Akm7WHNTKQjMrMvcAWSFlq1Fzsq5gu2X7nBIZYTJVBAgazmbsX1ku517i5vE3BUFgZ1aKV8EeI/dLpPx3Y6Scks6/WaDIFWpYgrbe+PhwDrwDz5gHfRySWDA9kV3dcVSjBcveC/tNssCOx2W+8xmWcGhfdDGJ5pNxhUxMqGuKqoamk36bBwOLH/57LNU5hgtxnYhcI7a2hvfe4/f8+mnTBy9R/PnP0dpcWbsdmlYZ10hYqcDzOdwH3/M/aPVQlyvmXR3u+xDfjggPnsGOIcisD4+GFDsbm/ZVqzVgru64jPe7ag6MxLET6eIn37Kvf4730lASHF5yV7jBvaG6ZRrTggZpH/6FHG7hT87Yzu15RLVdkvviPff53O3ODX+1m/B/fCHwMuXiKsVGv0+nPfsYR4jis0Gcb9H1W6jcXtLgqYsUT58yD2+yZaMod2GPz+H73ZRfve78P/gH8B7j0qx04MHcM0mKpPFh+mUscvz5ygWC65LsxmKbhe7P/gD4F/6l36hqfo2jncJ+ls4er0etv/+v5+NxIbDXPsnh/MQstmM5O9C/cX4ymSmXoN8dpbbMbVaOVBSUFHfjJXUq+5PiHS9FloIqzZoBT1FkQMYSeObTS6itsgkZsT7zJqo3Zkk0zqHJO1KUiWLV5JrLCKaTT4nIKsOxMIrOHvwgNdwfZ1l0mLRxbzo3sQglyXLAySHnE4ZaIp1USDZ7/MZ12XPSv6NdbtjdNRq5XOIcdf7evCA9y8ZppQJzmU1g0AT79FptbCVfFKJs0AWC/yighGx6lJpiBlXHW2NLYuDARfpy8vcTk0lFs1mlszremJMLsJ3Wua12zQZKgqaaRkCi8kk12gayxOtp29yc5dber9PlrbdZlJtQatTEtXrccGudSOI/T6DuNtbSqxqYJXauwloSUzKYpHbBXlrPSbwQECSNm5LvMTwJzM3G8NJEm9zyB8OdK6V1Nn+TAyvJQNut0sycJkkKfFPQZvJP93hkCX8NgeTuZE2T0l7FXhaSUiv0cBaNbkAA7SyzMm/zd0UuEoOrKTfAKjUi9aCmDQmrIVLVJ16t5tqvVEPsmezzOxoHTIGNYEVmu/6Nz2rylosNRpkwZ2jRBxIY8sdDjlIM3YmbrdUfsSYEzNTIwRjMF2nQ9MiJb5WIqTgwJlDeax5hXhJhff73I7RDCSDgWNe5pIl2645Y/RSYqw/lWBJdTQYcE7a+uRszYghpDrcNPf1nxQbWjv1DjXvxFKpdKmuiBIYYQCu09qw26ETAraXl3nNktnm1RXv9+HDLHtXkFuXVCvxaDb5/AWuHR9zrxiP876k0iftJzFyHda9CMAVsHl+zr9PJnlP0JoukEPAoiTgjUb2UrH+v8m8VE70zmVzyuPjZAaZgDZvPcONCcRmw7VHTs/TaQa4tQ8AGczwntc7mfB66p1UZJ7lXAa8djueX2ug3mGnk1Q77nBI0vro2WIqKeg6nbRWhrMzeFPByCQwGJuYykW6XbLiplZKCa9KpEwVEE2FojXB6T56PXQePMDWJPVRwDiQ2HC5gKffNVY9/btAtRCSuWfyBtGa4K3m1P49RpajOOcohdVzrx9KiIHc5u1NWHKx8W+a2H/Vo3b+X9i47osk7fq5zn2/tECMr/ZMlVbZ/I2mknS7Hftk9/v8rOKx1YqqDJnjmnmYK0uunypPEBhpa3toNpNBp7MEu+s9topptKfLV6ksM2EFIHzwAX1ALEEM/T5Z5VCrSVfM9+gR99rZjEx7t5sVXVLsyXvEQIk4m+WSL1ur3HzOOvarKybmAqxjTOVU/nAg0396yjr2Z8+oIri+5jlbLbibG9bKD4eIDx6k0gH38ce5bW0IrH3fbGjuaN2ditmM91IUqIZDlrtcX7MWXa2IzSzPS5Vldffo9YDPPoMzVl819XE+T+Z3DkB4//20XroYWTL18iX3t+kULkb4+RxutUKYTChVt7I3d3QE9PsoPv4Y+PRTxEaD76agi79brfh7gwHcbJY9VgYDmv+ZOs63Wry+mxs63vd6wI9+BN/vI+zZtg0PH8Jtt2i329hZ+atbr+HPz+kgX7GzQDWdwlcVyv+XvT/rlS5b04PQZ8w5o29XxIrVfF1m7q4KVcngBo5cRggDlrGFsCUMslH5AssywhyDhATCd8cIyb4AweGCG84/OhICUZRrN9l/zepiNdE3c47BxfM+Y8yVe5ddGNu5U8qQUpn5fWtFzJjNGO/7dO9v/RbwH/wH/2TP6Lfw+r5B/xZes9kM87/xN9KCIIlpu51Cc7RoqHlUAI1Cb8RKahatmryyTO9hEpvYWKoZfnxMTFidgVVRBKSGHuD7SKJ9c5OaSCH0aoAOB763kPbRKHmJtSGr6ZYcX5+p9xPybzMe42uxSH5sNVEqrJSOrSJK/57NEltxe8vvo+ZSnyX/tN5TDIihwTg9TZ8vNtvYFJyfpznxkklKxi+wQ02GZumKrVETr+/x+nUagWZJnAASiNJqYdrtYi4fYZal0LtOJxWDjQa/s5gEjT4TOr/b8XsLKBGLmGVM+XWOTYBCn8TQqSFTwS221vIKQq9HVFmFtnnQ/XbLxj8EnkuBFJJDDodsSn0tNM5k/DH521D9Z97xPCcyDyRQq9cjg6pjsON0VnDHzRRIs5X1PYwJgBVHDiDKL6uHSfHEkgcDJNxqRamfWDoDASIbXXuenHzjUjXYeZX8PTbb1lC5iuOIgikgQrOZZsqLIZQ/EGDKbAjpPrZzMGu1cCdGoKqiTD7K6jVmzQAJt90mqbdeel4Ayl5BZF6NtWSF8uBjt6NPXhJ+Mf3HY/QIhto5qNtaXFkmsEBWiEYDmbGl3p6RbL+PgVJB7Kj3EfBxy2WUUfs8R2ZhkN4aKGdWh2BNj+bOQ4oLgH54gM+EpNYWDCQ1hka54eGBn2my1FAUbIaORzYMrRaLN2N7Y1p3p8OCsdulvF2fm2VUFShxeLdj0el9GnkkVUOrRTZGCiNZEno9AiagPLjeDHprEl1RsCmX/FrrWZ7TE+o9wZCqYsG53XKNeXhIDOzpacq1qN3DEewSgKSG9HBIDPiLFwlYlkRfa6O+z3icfOqym8gGdnPD9arb5Zqse1nfqQ50SgGmtbXT4ftIpSaQTqy5GuLRiM267kllGNi8X+c9j321Sv75szN+3n6f9msBzfV9eTTiKCntlWIn7X6PgZimfoiNsCxMAjVt7fHrNRmoENg4zedJPaZ14eKCjGaeJ1ZdwMt6nWqNwYCFvZose7YzeYGVH6D55t4jCwHTZhPzpyeqZhqNBGZaHkI4HvlvWy+C7g379zcl8PG/pYTxJls3tl72HgewiTdVUJCi5ZsNuBpUuzciKPCPa4rrv/d/t4H+o7zsuf2/K6v/lZJ2yZrzPNppZHuCKQlk13F2X8RRoNttVIE58xZLjRPKkjPZiwL57S2Z5V6Pc8ebFkyZZRxVafd12O3iCFBXWhaH1ZwCnt3hgMlkgvnDA8GB/Z7Nqx2bD4H5CLMZ/d9aa22dxHyecjCsLg22brjVijai3S4FKwL8nqqbDLzFdot8uYSX1erlS9778zml2lVF1dZ6zWeoLNlsbrfcAycTuNGIfmvz4uMXv6CabbWiz3sy4Xv0+7xuux0l+VJv2ZjMcDgAL17wvH39NUIIaG42ONialBmxUrXbCO02crPM+ixDUZZkso9Hjr5drzl3/JNPkGUMYfXzeQq1nc/pRT8/T+Pztlue892OIb/n58hWK3rmqwp49Yr7W1mSRf/JT9gcf/EFGosFDlLNNZtUpi2XlPUXzCCoAII+Z2dp0oU158EsmOEHP2A4aj2c7+Iigdv7PSZv3uB+t+PaeH3NgOCy5D56cRFr8eqP/THgr/21f0oP6z/71/cN+rfwms1mmP9n/1mSBGphrXtBxaqr2BEqqgZRDZwktCcn/Fn5npVKWx+/Jpmtgnv2+7TwHo9s9iWLrLP4ksOLKe50WJgBz4ODNIKs0UgBeHlOD6Ik2GKQ6oF1o1EqoIQAi5EFEsOu39tsYmhE9Ol3u6kwBRLzJxBiPOaxPT1Rwi7EtMZGKHQsnr/Dgd8jy5JMXoWVZP4AWaTJhD8/nydVhAAYsVxCmVutVCir0TLmIbx4Qc/ru3f8GTUBzmE6mbBBF6AhubCUAwIHHh6S7HU6TZuyLBFSXejcmKQxpqZqJi7AJktz3+uyUaWp6nqKRdYINhsDFzodynyPRzYXks3r/pNiw1LeY3KxQCgxfN0uF24h2irmTAId/7viDEw1Bc5ApMgKiDHf72NQjn43Nui69yRFFrMAxGTw2KRbVkFkI7xPTYlkbzXGNHQ6PCb53CS73nOGfVA4i8LvsiwV9mIidR9KCq7rYPeb/PFiqmbjMeY3NymhXCGQen7kiTWWPtStE9aMOBUvarTlR1ahdzhwxIuxLAjm3Vdjdjiw0Bc7ntt8b6kRVFAZS+7s+H2/z3tP73s8shgXYKjAsqcnFkjLJRsdu0eDgnuKgs1NVSUAZzxmAE09T2C7ZTPtPdkHG/0X7wdbI31pqexaIyUlr4GWwUA412ymTAaBm70e/OkpCyA7x17qicWC3kw1wGoE9MzXQTUrQiAZohqmVouSR7smAiP9dIpMdh2FPNoaH/Icrt/nObfsjVlZYi6mWooBAQPDIcEKNda7Hf9f65KUUnWbh/7pdFIIqNKYz864jgp01T2nTA5J5WVFqqvDvOe6fnPDa6EkdT03ku/XlSZ1tYmyH6TK0nUSUCBw0CT6vtnkdROgoDWxqlIGjGa4n5ykPU52Mp0bjcs0RVLo9bgOyeNvIxEjYNXkBIJwOHA9FVCg9V4AhvdsaHRuZEmTUkUWl5MTyt9NWRSOR/pYr69jYCBs3J8fDLiWa98/HNIYKQNbEThaazoYYK5GSTL+fj9lOGgNMUbcA7zn1aiLXRfIKoZS69o3G/XjkaCEc9zLdI+qCSwKKlu+2VSHWsL6N6X2/6gmOYR/9oFyf5SXgIhvStprapooeQeiygjeJ4CkskBTq0NcWXKttmvpSptDLYA1BAIxJiMPJad7uE6HmSlZBtfpUN3gfVznlWvixJorONFqCFeWmJycYP7ZZ3DdLo9BJICllFevX7MGEChv6zpMqp/d3LD5b7eB83Mey+NjUoBa3RHvHas3QmXWoaenNNWl14M7P2eDe3tL5nkw4DO5XkeVgBQGsAkHyDJOznEO/nhE/vnnDFL78IHvOR7TSgLe8/7xkc9avZZeLnmff/QR8PSE7P17rgGbDUGLjCnzzp5/3+lEQNqVJZ8nA7qdSdqzVgvl5WVsmLO3b3nOthyZVp6exhrY7fccO3d3x7Xh8pLgy9MT/HqNZlGgPD1FfjjgKFXUy5fIP/sM1YcPXBfGY2RHBsK5qiLj3migBCjjN7tFdX7O72ZqGJdl8IsFJ6OcnwNv3yL3PmZQ+MvLSDC64xFhMMBkNML911+juLlBNRjwOnZsbvpqRWICQPXH/zjwH/6H/zyf0P9Hr+8b9G/h1el0sP9v/9vUoGvjFrMm5kBSZrF92uwkBZQcG0jSPzWjNhonyuTlq1MBYXLhugw1Nkx1+Xu3m/5cc7BDSJ54/Z0YWyX0anzZep2kpaen/HM1pmKk1PTo+IDUgOkY1GTKXy3Zn4oTgQqDQfqO2owt4CRKvuWXf//++XkuijTaTcFQ+t5KLB6P+Z66boNBkm6envLvBwP62ne7lBGg6yaGXJ8lNkbNuJib01PgzRsWnDZruHV2hj2QGCKTgD9TPUjaNxgQLJBi4fQ0yUTVqEtOqo1OqoZvfr+cY2vcek10WhurNkLZEQT0SP4ueb9UFioC7u6eJ8irubYQKI0SgXMsMgUuCNBpc4wcJHuuA1aZedgMSIiBagamODWLdbk58IyJdodDShKXJB4gkKEwIhVGauKPx9j0R0ZbSpFmk5u8mmKdv92ORX4IMTE6jvLSZq1/1xlJPX8qoHY7ZhPoO0sKbI1mezLBVmuGFBi6t3Xu9FyZ2sBVHN0W31MyaMlQj8f47Dp7n9iQW0GoYKno9z8enyU3y2sr20GmdcBk0l5Mo8AzrVPbLSW5BnIFgEXfYMBk28GAx2KSRohhOzmJEwUy5+BXKzKHYmek8HGOvjUAmTVuYbdjEWcNTMxNMDawDhbFAlLsK8CirtuNXvtQA8jcasVzqAkQDQZhiUGNwKPOjxpgU43ESRiSmevvzHLkz85YrGmu9WLBz2+1+BndLtl0NeA6v7sdWt0u9gYoKNgOu10adylZt9jlx0del5cvE3ik5lZ5FGoOLfMh3pea/HB6yvebTrl+CPATY6xANrHa/T6/v67D4yPX9tWK13w2SworgQU6R0XxHIwSwCJAVfucFFJAkq1fXvKeq6qkNjPwKIJ5mw2PRxkZmsKi99OeIKBJ4a/dLp8hNcC9Hht1AxSC7Dqe4Vkxc0Cybhtp6Zxjc6T1UzkCAnUFrnY6CEq2zrLIqof5nO9v97B88KHfT6xzCAS6lks2O60W2pMJdmZpiaC2NWOh1yNoJZ+usXmoqtgYO4ByWdU9RREtPw5IXvJv/Lt+z8WmVH/mPcEAgWnffEn+/k2p/T+KKa83+H8Uqfw/zZf2vjpAIOBAwLPWKu2VUhxl2XPW3CTL3sBhJ1m0gVkhyzgqq9WizeF45PMqFlnEUsFk7qyq4A8HKoZaLQKf/T7Z9KpK6iEBTACwXKLlPfaylFjdkd3eMhPjxQtO8dhuqSxqt9k4NxpcQ5+eCC4q7NGsJ9njI+XQZgURcAogSvSx36dsjsMBePmSDd5iAXd1xTntkwnXxkaDSj3Z8LrdmMAepOjpcLZ59vDA83N3x2T24ZDr1pFTY7yRcjG/Zr1m4231ev7FFwjrNfcY7+FPT2OWSr5Y8FnKc4S7O6DRQL7boSoK+P0emaXo5+/fcwa6snzWa4QPH5CZ2iA0m3z2swy5sjy+/hrucEA5mTAtfbdDYz5HtdtFVYJyd/zLlwhZhuLzz+HfvkXWajG0Tqqx9Zq5K81myi46HJANh9GuFhoNZJ0O/GqFYrlENZvxPrJ8KHc8orJcEJfnrHuaTV7v4xHN+3uUiwWqokC+XKJ69Yrg0NMT10HPjJzj7/wO8Bf+wj+f5/Ofwuv7Bv1beDUaDVR//++nhty5NPpKG11RpI1cKKOCc/T3KtRCSOPMVNCo6ABSw79YcFN+/Zp/7v3zOa1ASmUXQqmmzuZUxwA2HYMtpGg0UpFVbyh6PRZIIXDhUrN8ccHf0/uocAiBRYw892K51+skC1ahpuA5FWxiTCRV1PeoAx+GKqPXS97CzYYLvdiWdpt/p/9W8bfZxDEfkfVQsTkeJ+uA5I0KkNPonNEoeW9VuKzXqTBVAJM2VXkIP/oIKArkV1eobm/5vpK2q+DUsUv6Lum8Cvr7e0QfvrxIOnahtsoRUEEub7cV5ELGg/f0YGlcU1Hwu6lA0vkJIQUbSSYnz3hRIDw9xTEtERACUrFpKHosvHRf1Zvrdjt5Tq059pqPrGdDxYOFjsRiz0AKZz5oGKoe/ebNZgSwNKdXHv8gFYK9nzse6bVrtfh7ZUm/b1VxczUlRSbPZquVmCiBHGLiypKsgxpogUtq1Ha7mC4f55CbdNyFwMTSfp+/v1yikec4is0Ngf5ZrR/NJgPy5B/3noFAkp4aEOSssQ2HA6XlYppMFv5s3nurxdEx8gyqCdd1rBUjmT2PXpLv45HMiUklg9aIpyd6B01y7tSM230anKNHVoCbc9y8dR9uNlEhopAhsUix4bT7wh0OEUTxjQYyqUNU0EqybbLfTM9MWUJjsVAUsWAPWcbr7hzVHZsN2fndLqZvh2aTIIP5E2OzWSvAQ5bx2IsCoddj8WvXLK6LrRbXTzHWNzdcR6RwksdYQJdzwHJJG4quixr+4xF5o4Fqv48qBvR6CUw+OUmTN6TYUhP6/j2fVa3lKsilCNN7CJwWuKc1SevbdMr9Q+tlLTANAD+n0Uhe8fr89c2GoWlWxOPFi6Qmkw2k9gxHFZIacsnZtTfL4qTzZGsKTk+ZDB0CWSypfrRm6lgU3uccv1Oep/eThF0Amu1vYTCgvUCsfB08VvOt5267ZTOt31ddYHuhGjGnZqTeOAvA63Q4eq3VomTV9hZ3f09gVbWCKTW8JnQAzEioKoTVCoVzZMoGA/65glIFyAig6/cji66xc2G3g2u3CZA5x3GOJtOO7LvOq9YTvZyFj9XVEpLnG5Ba98H/I+XvQPpc/BEacDX4Igv+Gb5+paRdx22y9Hgcte8MA0OjUspqzGy7ZbPkzSJkarOYp1GWlLRfX7OhyxjoGdpt7uF5nibEGNAZQU+zGTipyo5Hru+bTZpcYF7zfDJBqfX48ZE/c3nJOsCmW/ii4B4oEPrujvdDu817t9vl+61WlGPPZlSVWVMMk/0r5Rv7PX9OgN2bN9wDTG2ZAVSPrNdcvw0wQpbBTSZsFJ1DboG0vtlE9vOf8zjWazbtJydpHvfRRiVabRoMaIl77IsXvG5ffQXnGRbpzUaYlSXC8Yh8t4PvdMgqL5fx2dOz5SYT+KcngiwXF7w/xOLbHpkvFvD9PsJshqLZRKnrcH1NFns2Qz4YoLSMihwgy+6ZheKbTcrPr6/hvv4ajft7lKaoygYDhDyHX69jAK5bLuPkoXIy4aQV29OQZcDDAxPgLy9ppTLSMZQlZf4GSmaHA5P7Wy3kVQX32WdwRYFjWXKk3ccfI394QNhsaFMA2NiPRqh+8zeBv/gX/5k+m/80X9836N/CazabYf43/2YqBpT+7VySNB6PiX2U5y6ExFZLYqz/l5RNXnPJksUuSD4mqRvAwuniIhVz9VA3ja5Soy12zUb0xAA1+dVUlBijGJt7seTybFtDENNvZzOeBzV1hwOligA/5/Q0MX1SC6gZk/ddm6yCdIB0PlWsqigR8KFj1DWonzOF5EmuLx+72HOBHfVzrmJHhXw9DKhuP5AHSszAYJBYdTVMKt4l1bXrMv3xjzFvNllwXl/zWC4u+H76jiqiVUSKuVEDrOup4xbTLfbINol4fM0mw+darbiBSBUQMpsR/vCQpKWSeUnaDyTmezhMYIA+v9lMgI8UDrrXqyoqC8J4zCZQhWSdffvG/e3FCmnxB5Lf2oqt7OmJDZN9R2fNeJRcG8umzVOsm7PnIzhHdr1lo930fNj96dTEWoANsiyFu6kBskYyqih0z+i7SJ652bAY63RYwEpqqMDAPOf3032jos3Yj9lHH+H25iapUXY7/i7A4qHBOd5BzYLdS3E80nJJJsPOv3eOs1Cd4++oMSzLFMCl49d1NJBCQWlhu6WXMaT5rTzxjvI3S9qtS+6d7CEZPatirp2zGeZWxET283BIs+mbTRZFAj2tEY0KDT1vaqqE7O9tZJ5ZaXyzySAbyd8FHIUQFRMBYPMsEMUKdxyPwFdf8WdrOR7heCSwIKWIsdrBiuxMUm41TFlG8EfrskBRqZksyTuIYW+3ed+YCiE8PLD4UQOjtVUAQ1VFOfR0MmF+gakS4pzqskwNpywA2i8EXp6eJoBAwXBSj+h+UXaK3etxvdMzp31oOuVaJ+b99jbdb71eGpHZaNAXKdATSD///n1Sk71+nQAChbUej/x5rfm6l4D0jOqe1vpaV+FMp8DZGX23q1VSShkD6XTsata1pxiIFYFZ7f2mctAaHGX4UkqMRlEmKyBI8nB3e5sael0Pay6CWTGcgJc6yKvz0OvBj8dw43GaYFFVZMAkXZfqrN1mOFWrFXMuZpMJ7t6942cAlO8bCOOkxBO4autS6PX487a+KjzT5znBAoANodYTseTBMjWOxzQOTo2o7m97ryiZPzCcM1QV5e/y+ddf32THBXD+41j18p9hoFz41ZL22LADz9Lfna11AeD3lqTblD3OWOPQ75M1Px7hnSNAbWGsvijIWD49xXol2LWOQa2DARnhEJBttxHoDP1+Yu5lzxMgFALC/T2vxXSKUBSYnp5i/vAA3N7CtVqUM9sz6lRTKoF9uWTwWr/PcVxWy8YRrFmWQi1r+w+6Xa7ryyXCZsPmPQRKwcdjPqN3d5Spm70wGBkQTBXpOjZ6Vg2xPc/hcEDx1VeoTk7g3r+nN/30lKD4dstz4j0TzKV0qCqmtA8GCB9/DPf+PWede88xaTa5wRcFiqcneM/ke5ivH9stfAjIyxJVu418OuU+0+8jdDpkzTsd4Gc/i1MTsvkc1cuXnFfuPRvb9++pkmi34aZT3i+rFcJigdwsWW69RhkCk+LPz+G++ALh6or7yWSCfLlEeXLCutAUX74skW82qLKMSgtTEYVGA2EwIGO+WiGz8GBvAHa+3aK0wGZnqhhXVaiMjHTLJbK3b+F7PUzWa9yPRsB0ivyrr1DZXuxCQNZuoyw4ArD8F//F7z3o39brO9Wg/+2/nTZ8pQCvVknSvt2mJGltpGLbqiptqHUvupow88dgPE4Mblny/+sBU5sNF7IQUqOnIl/HJq9fq5XY46JgMaL3v75O4V91NkALuEbJyW8nubXJaSPDoQR4FXpqKuQprPumJb1XU6G0cB2nvpcUAPI56nzUJcd5noKA5Bu/u0tNk0CO0Yi/r/9XsfT0lOSSKi7FzqsZbrUIRmg0nCTtUiFISVFHmfX/dk6n/T7mV1dRXgnvuRDvdjzHl5cJPFGhLPBDkkrJ+yU1Fduie1CFh/4OeObbDJMJiyBttq0W00hNZuXmc362mLwsS+cEiO9T9zfD0FYHRDQ8KjZUuCrBuN9ncWAS5vh8GPASms04niP+rsALPTdFwYalkQLaHEC5dL2gk//U7i8xELGBVvFbb+ZVBABR4uXyPEnjBb4JKBHTZYWlMxVFZONbrVgcB0nDrRFRCnMAojfdSdYquWi/j1mvh9urq6QCAFhkqDhT0+pcalazjJ8HxECfoPtC/nMpUXSOtA55H5ueTGzzbgdvMrMARHuEqxg85uZzytF0bMqmsOcxmJwX5lODNdveGuAg0MeKdZj/MQJxCnl0jvI/+y6+04kFg7z0sSG3e8oPhwQB1HDp2dF3UVMlBt6aNrffA+/fsxisr4UqVmtgivzF0ctstohM94ex95E9NsbeVxW9oBZ4hzxnYN5wyO/falGmKTuGSQMFUgaA39fkrM57MhW2FkzHY8y1f+jeF2Mu1lnAptbZupKn0eCao5FeAmq1XyhvROngktBLOSKgTyDjaMTfHwyShctC9DCZ8P9t/jYuL9NEDwGDyyX3lQ8fuN69epUAcK3jAoCd4+dNpwkMV0OpSSlaL1UvCZSdTlkYf9PXrjVDYLjsUbrfa+zyM/uT1o7xGL7XowVIe5w13CFP86sFFLnHxyTdLctYtEfVhRRRyiLQ7wu8sBybcHISQbo4AlONeqOR7EvDIfxwiNl0irvr6xTGpUkIyjwBaKOQP1nnpNFAGI8RQogTJjJTOsUZ3GJ2HcPNFD4WGg02LLYehRBiIrTzPgbTRfWBsbdRjt1kQNWvlL/Xm27Jw7V2/mFsuRjtf1xD/0d91RjyX/qzwsan6bPEyBogIdAw+vC9Z/Ntz0a22/E9vOfPeI9styPYdHPzzK4TOp04c9wbiZFVVQp5tZfvdqm2kqTdiBxfFCi2W4SnJwIFll0Q2m2cNpu4//RTsuaDAd9vs+E6X5Zs/qX62e/hu1021ZYg72ySS7TfCfj0PqkK7+8JRiyX8Z7wH3+cgP/razLfNdVUlnE6QsjzWGdmxyNtGPf3CM0msg8f4PcMm83mczawFxfcI6QYynPmpByPtDw9PbEJPjuDm07pV1+teC29jzPkQ6+H4v17VHlOi4mt6ZmtF74sEWydasznqKZT2t7evOHeenVFGfl6zTTz16+BwQDZdotqtUJxfc3E9JMTVIMB923LHwqTCeXo8zmB4ctL7juff873HY/JlhuIka1W3GO8Z5hcliHf7xFGI6osWi2ex34fTuFvkwnKVguN3Q7eLAf+8pLqIQPBg+r8RgN4+5aWDAueO/kTfwKPNzdUmHY6yBsNKi0aDa4jiwXyLMPhz/wZ4N/5d/6fP4v/nF7fN+jfwms4HGL1n//nz9iXZ2i5mBE1eRo1oQJDEpt6kI285FqUu11u/kXBAqnZTL5oC7qIzBbAzxDDJvbAJLLRi3d6miT2xkBiOGRz7z0LpaenVHipSZffR0FLkrJrPI6Y4rdvk898NkvHqMC0ZjOx6EDyd6vBUKCQWNztluegXkQUBYs2gEWhCiSx5UCSVqqA0mz3OpOh66bjr4e+ycdT916LddJ7CNwQG6JgM8lArQCP84GPR/TbbazUzG02SdHQ7RLkuL9P9gEVlVIEiClX4J9kzrYQx+skdYaFxDz7R41XntPbOhwSOa176vXd7+95TGo4NMZKBSiQ7oEQIjMf2u0UkCVwRCCGmnHZHSSrV/EtRsWYoGBFimsyZTvI0wtEJs5Z4xuBJ/MIu1aL8jGAzbwpRIKpVZyxjfKrOkmnZb8oipS+rCIbSIyK7rX1OjEixg5n1hwHsdhZxhEmKr70rKvok5LANj01GJKMDzodLObz58+h+f2j5M/WjsjM1kADbaaxMdffqzEV42dAjtvtYlq9E/M1nUYLj6sqhNtbBrkA6VydnbHgsLXQVzYvvmVp+TlHMsVxbvbesGuk9/ZWyKk5D5KyH4/AYEAmIMuiaiAGy0mqOxwitNsMugGeKZm8rb1xFrXuqzynKuH2lk2R3et+NKKKQ4E+Ut0Y862Z004y8HoD4H1cAzXrXuPqYrq5sUSh3+d9ar7OcOSMemfAkVPDp7XD9ne/35Nd0ZjAouD5teMYtNtYAal4lWpAM77VzHa7XAfEDNsYsmf3uwDR+Zyf9eZNAm4FkmoSRF3to2PXc6uiXv5y7ZHzOT9Ha931Na/ddEp5e7/P5lby7tUK+PRTftbJCa1EYn7E6qsh7/VSUr3AEP2j9awufZfP+ewsgaLaYwViA0mtpDA/rel1QEb7+sNDUlkp50NzoiVt7nTIPpt0Paa7a6Sc1jr9vppZA/qdAGfVGDqmEBi2KHuU5NzrNd9boKw9F/3TUyzs/zUiMuQ5i35Q0eRaLY4f3G75HgIbTAofbD60075h5zaYNSMD6Cc3NUYM9zK1VGzetcYIwFCjFMzGY01spibKrAO/Uv7ufXpPUy3FALtvMvB/2O/8k7wE1Ncbff2ZMYuhXjeYwsBpbwghzbY3+bAfDuO5jZL1bjfOFEcIcNfXbBK1D2QZQWRjP+McdWvEM3uPAMS8ilCWcVJEsPXL7fccQ6b7u92G+/ABvdEIq26Xah2tU61WBFidZToo0DJMp3FsWZAa5/SUqjN7PjPzvyOEuL7kyyUqKRgvL3ke1mvg3TuSDUVBJV6nw/BRA6rceEzA2J6LbLmkouyzz+B6PVQPD7RtvXpFYKss+Yx0uwQEtlue23abx3w8wn3yCQHSr79Gbs+UEs1Dq4UQAorbW1TDIX3i5lsPITCELs/hJxO4uzvWDcMh2eiLC+R/8AcIqxWqfh/50xNBk9evybpLKfXwQHvAeExr2npNICTLeH6NIAkajXl9jeyrr1CsVjicn1OB0G4jLxlYqjDBbLkkcHE84nhygqwoUDWbBH/3e468azT4vUJAvtsRrM8yeMswCd0uQ+yKAtVoxP/+xS84T/14RLPbxeH1a/Tnc2weHwleALzvR6Oo1nHNJqo8h//t3wb+yl/5J3sGv4XX9w36t/TK/t7fS02H0HoxsGrs1DyfnCSGXVJGSayB5McW66NmS4WA2CUVNTc3MYwIJmUBkILm9LmdThqFs1wmxL7fZxMYAptqSRFns1TAX12lAk7fsS4NVDjH4cDj0kzYZpOfM5/z72YzFjmtVmI+ms3EsOo9leQuVl6yTTXQ35AcRgm7/MryTDqXJOkCIMQAffiQztF0mpLdD4fnjbhCf3QNlcJvjZuaSfT7ycf58BClefGlJkDXR55vNfpKTDf5bZSNCvHudICPP04efwE2Yrmenvh72rwU4CGmWeoJFeNq0vUdTD4fzs/ZAKiR6fWIvDtHhHg+T+PdZBeQ/LLOGIkt3O0IAGQZpb+LxXMARZ+v66xzaMWH/IaRITKAIRZn221MC8eB80TRrM0eNpY6s+I2WLMnaXkMGms0iAgDTJ1V8aTnRK88T8e+WtF/DBapETQQo+ZcnDEbN+k686bvkWUsvgViVRzJ5nY7huRtt89T6b2Pcn/sdmzmvGfxVPssJ1ZZUnWtH/LsHY8skqygCd6zoDke6U83FQPG41T0AXy+7u6SHLfTgTM/m6sqngvv4TodbtDWCCokKtR8f1ItZArhkkJCf6f1Rdd/PE6NzW5H9sEY+ACwwRWTpIwNC5kMJpXNRqM4vil0OOfdrVZwGvGltaPbjWFI8X0A/p0Bh6HdJphjCqAIimRZHLUWFUa7HQu89RpxbJbWjW6XRfdyyQJTzaLWI/2/zk+rlUb8aZaxsW7OmPngzatqqpDoLW80kgpBKom6711NgcLjlEKuXBDtRc0mz0evx3vCe+4lOgcC5QSKqmmvgRdxTRRbLUC30+EadnWVlFaTCZneuzv+nE3c8JNJZHCx3wNff831sdsFPvkk7U/2rMZ1X1720ShdXwEaWteB9G/dd5MJcHEBzeqOP1u3nuU5z7+82jYhIr6X1kuB4Fozx2M2SwpclVUIiFLxoPtvsUjPrwBhPR9SXDhaRmKSvr6/9vCTEzbq8pcLfND7ar2z9SMMh5ymcDjQQwsg7Pds5gCCCsaQZaZ+CN0uj3O75X0+m1FR4j2BS2uiQquFzDPhOY6LNc+0Et2j99zA8yCG2WqkkGXPZ6LvdvycsmRq9B8if4cUTLam/WNZ9fBPECgXfoWkXWumye7jegckS4HJsrPjMR1/CGyailrWhv257BH5comq1YJ7eGCw22DAtcwS2t1mQ4WOfO6NBtcrUzHA1q8AJGuWqc3cfs/aRGpEqYZ2O7j5HOH0lPcUkNRKtqfDObjNhkFwpjbxsxmZXptm4LynFW67JcgoMGo45Nq12yUgDKDCxqTieHjgWt7rJVtVk6Mto72q3+dabEorLBYEo29vY6CZPz2FOz2ln3+55Hu12ygeHuCPRzK+BnzkgwGOP/oR8OWX/N08R3OzQVnY3PB+nynqmw3H0ZYl9wFTlGWHA5vxTgfV9TWfo1aL6fVFgfz3f58gQ7fLDImLC35nAZQ3N2zo+30y5BZamz8+Ar0ejhcXKY3+9WsqCb7+Gu72lrL4bpcjT4dDVJYbobUt8x6l98hbLXjLJkC3i6zbhXt8pIy91YIfDrm/LpdRHg+rC9BosDaxtQbv36NxdYWj2XP85SWyVgvu7VsCfcMh3H6Pyqxc2WbD51MqocUC5e/8DvDv/Xv/+Ofu1+T1fYP+Lbxmsxnmf+fvsBBRGIWkdRofpObDOW54Yr7lrVPYjAoZsZzyhYlhE9OtDUbFn2SGFlIUiwgtavX3VLE7mSQUUqz6+TkX28dHFkFicCeT5AWVRFLHrSJNC2Xde6kxOype1BQDSbK4XAJffMH3HI1S0SjJuOY6q6gS46LPlHxfLEcIXBTyPDEx2y3/TIUGwMKs2UzFnFKC5a1XMSeZnBQPAk3qck359oUQa8SFrjuQGC9Pn/X05ARz+f7r/n+BGyrExVZrQxJQ8eJFStXfbNKMd8mmxYDruok9EZgxGPwyAARE33+w9NQ42qmwOechsKharXhuxbaLLQFSqrxYFFktul2+hxgkk3g5fXYIacSTBVR5gBu6Fc1Bagb7cwXKRHZVcvGiSJ5zNSDG/sR70BLJQ7/PBme/T81jXb1i19Ct10mabh53J9BKLI4KZTE7ui/F+kpeaJL5KHk+HlMwoWRxYtetSMy8x7Tfx53sIBo1BsTshjiWpq58qSkRcDzCLRYsVo5Hyr2tUdT5w2iUZhEvl0yVNTYhZFkKu+pwlFpmgKS3QlHjfwLA9z8cWEgCic07HtlUeZ/metdBPwOpQqPBYwNY/Cml185rKAq4Xo/F5XrNxkb3oWOQm5My53jkPRgC79/FAk72F2Nzg7EqMSBMjfFsxuRfAJlJeIPdV2L/nQpEeTL3++QN1r1os7JhzBK2Nk7OGKmQZSyipTDR2pdl9BMC/L6617SeKRlfv1NTHYi1nbbb9IRWFZssCz6KgESWpQwUC9qL7wfwvG42KStEbLv2o1aLe5A3b6IlQ0dAWSnoppCIIKKeDx2vLF0ap3k4pHW82STIu9ul5n0yYSE7m/F8a8Tp/X3MCcCrV/w5WZ10fvWeKiaB5OUGnluDtHfaWobxOM1qN/VNvH/1XGvdl+JCyjpdF+0xdduA7XthPObzpQZHsmRjslEU8N0unzl5wXc7vufJSQIMrH6IYVZSEwi4EXN9csLcB9t/nOWJTEcjWiO01wMEbm0P0fg3qZyU36CUdWdjE+P5s7GuYTZjWJbOjbHdsFDMTPL3mszbec+1qSj4/6YYEqP8jHkP4XmSu7zLWcb3lQqk/hKLLpLlj8KqH/8IgXK/StJeY9KfBcF5hp1qJngEEwUAH48phb2qEnMdbBym/MxZhsyC4JDnvBbtNu+VLKNqTp8rwNDuhQBEICTOBBc4fnvLpllTDHLavpxsjJMJQreL014P8/fv+axIdWbPZ3Y4MOtgPE61kgJ4JX3ebHg/ycrTbHIdUHOrffjVq5S98P49Q+JkoZD60giaMJ3yve/ugG4X+eMj/PEIN5/z31WF7OkJ1UcfReVQtlol0Pn2lh7yXo/n4XiEe/WK9/FnnyVF02bD8XTjMUKzyZFlWjeNkXbec3a49/DTKbBe08Mt8PfiAs4Ybm+gWON4xPE3foMs9dMTqtUKuaWbo9uFy3NUGfOEssUC/uVLsvK3t3CjEfzFBcJuh+zTT2lDG4/hvaf1rtPhs6xrb1Yp7VvB9qDs5ITfe7FgwN1gwGOuKkrwvUe4uOB9afeYNyVWVpbA559HpWfodBBevuT5urpC6Pcx7XbxsN/DdbuorJ5w3nNtUg6Dc/D/2r8G/Lk/96uft1/D1/cN+rfwms1mmP9X/1UKhNOMbxWKzrEgq0tIVYBpgZ5Ok4xbMkH9ty2A8Z9uNzUxKv4fH1ND3GpxEdOCKAZNBYQaChUR02mS0AsoGA5ZrDhHlFQNoHzIKoLq7ynmt17Y6PvJMy6/pZLWJUv64Q/5519+mRhWNXZimOV1FquusCU1U2pyJCs3iXGcJ359zfMkOaAKF0kr12t+/sMDP2824/eVRNNQwOg5rDNjGgOnJkNM1+VlYqzEvlmhPj07w1wyThU+Dw/JCzgY8NrUfgfepxnM8mDNZjy/NnIpeomB9B3rvk0l4QNJraGsBIECUklYCF4YjcgMzufJp15Xczw98Z/BgD8rmXSjkfz9Kkz0DJyeUk6mpOPamLbQbMbkVq8mVo2tJKH2Xq6V5uQGFZ5ipG0xd/t9KhwtiV5p5nFlrINXQLzPnApHgWvyWJo82xnjqATuoHtUwS96BsUAiWGXneBwSNJ4ASCmbBGbgdzGFy2XOB0OMZ/PWRBZ0BnEAghYUvHfaPCzLKRK7+fM44o8RxgMOKJlu6Vn8+Ehyq4j29NuxzEqmcApY+DDfh+lpcHUQm614vlQo2rslVNg44Gj8VztnvANjmZBs0nGzTmCMcagOCsuQ6NBcKDdJnBg6gu32bCIHA4ppdN5NpAkbDZk6W9vUxNjAEyQpFZrM8BnymSIaDSoKBATb0qHOOtZjHdRMKhIhaaePZv1HQQyHg4EYZyjLL6yMVjNJsErraGdDgthAyRd/bkVCFZXbsmza6BbHBV4ZEbH9OwMd09PySKg51FrjCS15oOOQKmCz2SbETAoAEvNjEZ9es+1Qqz7bJaa8fp6LIBQrLryUfSdtJ8Oh0lmL+tVliVrj2a7K7vj9JTPixr17ZZF4f09gc1XrxJwnWVpr5QNQbPOZanSvSGArddLDbix1mE6jXLPyIRqXRHDLXXCdpu80WIW1WTt92nkKMDjmU5531s9ESc+5AxtynLLb8hzAk7ajw1ACd1utIDEkWgCngSo15oznJzwHm+1GBLXbmP++efP6xFT/qDdpgxaYYt277oaqJQ5R0vP4UBLgnMMkdN1HwzYoHh6pTVNJAwGiP51HZvdq878wV5s8oGBXcEsa2oupViK6e1ix1X0S/n0zcZarDwQ1VT1Geu/MjCuLH91oNw3Je3GvsfGuN64H49ptJp9jyA1Ishkw5pyp5rEPivkOZvTPIczdUUYDPhzmg6yWtFuYD533+kQIJGtQTWc9n/tPw0bE3h1RXZXU2VaLb7v/X2cTOSbTWTLJabn5wQEzUrnDIyEc8j6fVRnZ2Sgba9Xzgu8j6nobrtFNR7zfjL1kVMo2+VlCo7b7RjIVpYMI7Pax+33DIDr9ZB1u7Q1rddk16+vyfi+f0+l2fU1x4O9fAnX7yNbrzn1otMhmGtKyhACJe15ToXOYoH8q68oz396QiUmezLh97i+hh8MEIqCe8huR0VICMhs3fTLJRPeJxNkZ2dsRj/7DO7mhqCC1fjut34rEkrBUusxHkefuHMO1f09snaboOX9PbL9HtWbN8jabfjra+Tv3yMrSxy7XRSHA0pbT2I44+GAvCzhDweGCg6HyEJAORjA9ftMwN9sUBghUPX7aD49oXx4iGu1D4GhlPf3yLtdXuubGxSff47KyJvs9BTV6SncV18x0NCu26Tfx9w5uN0OxW6HqsUwXU1uwWgED8D/1m8Bf+kv/fJz+Gv6+r5B/xZe0+kUD7/7uwkJVPHXaqWwsHfvEss7Hie2oN4sHY9pDqwQec1cFbOggkbhayGkhhJIi6r85WXJgtQ8wZGN9j6x5mWZ5t9Op2lEmpr/bpcP3XLJAkcMsdDc5TI1kPN5YpHVlKqwkQRKMmxJxq+vExN/ekpG4uaGjWrdpy4EXk23GjA1Q0Bid1SoquCSTG845DFKVig/tUnvojzz/fvE2IhZ0eYqNYI2TWta4wYvea6aI4DHe3KSQJksw0mvhwexEmJZVIBIwv70xPc5P0+SPzWhOrf63emU/0jOqGuu+0SFs4pE3Xu6t9ptbuKDAZtOFa0CYcxnGxm2sqQPtNUi6iomXon0kwkXVSUYqzAHkl9eQUIm+cJyme5tK0RRL2KscHeOidyRkQUoH9d9tt+TXTZwKPT7qeAyueMzqTrA/18uiczrWdO9pWtvv+fk3a15yINYaz37avitUXQCddZrfr49x5mxTGg2uQGZxwpVBW/FsxMo0O3iZDZj0aPvKvWBGnX5+m2jDfs9GV9rfKPXf28pvybpduZ1zuw7hcmE81uPTDB3zrEo2O9ZoIHFLoy5jkyrSfZkN3GbTQQx4jlZrdLoKZPyObGIux0LVClozKLisozPmiR9ZrPwZt3IagqB0Gzye1cVf6eey2ASXMnBM2PcxArH2fVi3KRYqtkSIhtq65LfbglcALzXXrzgPbndkv0xL7RvtSgF3GwYDCYVkpoda4C8TUhwxpxFNZFAQe0fkqfr32og1ZRLgWVrwMlwiIfVKgWJ3d/zPV+9eq4MUvOphlmgj+4zO4/PckHU5DQaKRdF+48FB8UpHvKSa//SvaxQKAF72k+1dks9pHvl/j555BUiVQerX76k/WKxSPvHl1/SytXvM/1dQIRAT63fUmLJeiRwRXvRdpuAdzUyJycIp6dwJyfPMzp0b8r3Lz+0mD3tjVoXTY6r3Im4pozHVPvY58nKAsnL7ed8o4FMyrgQngMtAlt0vwnU1ne0Bgp5TmCg18PkxQvc39+zQZE3WEA4EG0qGAwo+7XjzwRea320tduHkIDZdpvAgVkB/NkZ10UBmFnG0YtFEWX0z/zkdam9KTOysmTjLrbS1hNNx3C2dinsUYFsQc/LN19iyNV4iw0HfjWrLpWVvZ4x6/V18BuNu0aiRXtEVaXvWpYMf3MuzXTPshjIGqqKXuOiYNCZfWbIc47AMsY2qNltNtlIz+dcc6yGykqOChMwLWVU/v49VVciDTQ9wEJ6/WwWQ0Od2e1Oej083t5yv9tx2kiwOjRMJtw3Hh+5pwqY3+8JZMr6MBhEGbZbLKIXHZ98wu8tVvvmJmYhyAYGb8FsFmTsFgveJ94ju7uLwEIoCh7HxQWbYakBmk0Cy9fXqKw+c+s1wnrNueSvX8P94hdRKp/d3pIlPz3lubDQNNftMuTs8ZG1TJZR2t7vE5hdLuFCQDWdMn2+qshwb7eoJhMUDw8Mgjs9JZhQlpwnn+cEzjMGJ2YGwvuTE1pRbm/pQ3/zhmvNV1/BrVbce1otBANwfFUhA3h/HA6UnOsa297rLVMmbLdUn+UMMA2tFnB/j2K5hH/9mr/X7yMz8qU6P+d98umnyB4eUO73yHo9+FevCLJ9+BBzW7ynlfOk28XT01MMHZa6w3mPcjolCx8Cyt/+beAv/+Vffv5+TV/fN+jf0iv7X/4XbvxPT9xIbfbvM/83kBLcVfiLcVDDKAZTfjvJm49HNqxAWtBVUAkIkCQzzxMCqmAbgQH18DixH6tVYk8lhT49RfQxAylFUxuY5uiORglQ0O8XRfQRRVZFHmM1g1ICFEX6LBvFFJu5V6+eF4BKxRUoILQ3z59Lt1VohMDiSsclWbE1QzFtWPLBk5PkzZ5OeVzLJQvM29sEwEg6KOZB3kFJwdWc6O9rm0UcMaTjEOulvxPAUJc/LhYELLbbOPonNpfy9ito7XiMo+BCu53CUlQMNJs8NrFlYszq3stasx6DDQWyqNCzMTtOzYoadbvfQwhp89UIE8kwgeSTl31DxZpGtckn3WqlUTwhwIsRt4YgrmumKHGNBr1eLc4vj2nbJrGOxZRkwzZPW+PYBELEZPtWiwymFZteoJeK6Yozf12jwRAxNeSrFQsck8w7MUKWuKwROgI64tgwIHq1Y1Pc6fB710G6emMuBtAaNrfZ8Pjtvgz9fmI5Hh+B+TwG1oXjkT7zwYA2ARsZ6POcTJeBFXG2acn5uWI2nNiVokjyS0PxnYAsPRsA7xtJDbOM0sEaq6+xksF8adEypKbA1taQ53HNcmXJwtoAn7BcIru9fZ5pYdcxMt5qKDSuCiBTcDhEP6jyC5wUOgrOk1pHz+x4DD8aEQwwmXHYM7k/fjaQbBwawSglULNJmbL9fBw/JLBF60vdo6/mz1kKtxohncNGI4FEh0P0cEY5f54zE0JSc9mELi7SOit1jJ5TrdcC9XRPyB//+MjvpvtAx6KxcTc3PIejEdcwgGu79koBL7JyycrSbqeUd+fSOqw8jd0uAdnKWSnLKKPGeBxD5aIyrdvl2vnZZ/z/169TnobWO537suTPC9yWWkIBdPs9j1GBjrI9zWb8R8277jsghdrpOn1T/dVup71UDYn2FmuEMR6n1H01arrHDHB6NlJLf27PUbB8iMjG6rubHSIC9caoo9eLo/3i7PW6R131jp75TocBcCGwsbYCOxhAljmOxcy0/2htFvDc78NPpwSpalaIqH6qy9/13XY7ZCFQCeQsKM45gnhVFZPQg1haNdkhpGbdlCzPQkj1+lWN+Teb9z/sVWfNQTY+etFNOeCtlok/J8Bea6QsMFnGvUbvq/1hu+V+ZmF8wdYAt1zyvNka58djsuZPT2migvYqUxNFa9Z+D/f2LffU4ZDXzZ559/CQnsV+n5JpKTxUd2w2VC9tt2zoJhMCtosF/xFgZGClkyqr2+XXs1rTHQ5shIdDhPPzuB5k794BiwXXUK2dBhJnp6e0JR2P8btmj48Iylg4HPh8VBX8ixdUwazX9F0XBar9Htlux1Az55Df3qJqtZDNZvDdLvI/+AOquhYLjlI7OYE/O+Med32N/HDgWLWqQrFaoTJ1RR4CquGQEvHDAVWzyaT7Tgfu6Qn5z3+O0ljroixx/PGPWRtcXVGGv1oRJG8249QDjYJ1l5dUSWw2lLSfnyO7uuLvmjUns89sZBkqu9/ywwEH79E4HAgeTCYcgzYcIgyHKGxN8La+hcmEIPiHDzzvCoKbzZDd3/M7vX4N9+ED8OEDsqcnBvXOZnDTKfx8znXb1mtndrVQVXwWDGzB8ch0+m4XWafD79VsMgPgN38T+Kt/9Q9/5n7NXt836N/CazweY/F3/25iF+/v6Y2TTFkSQMnaVFwrXVVFjqQ6YufqIWfjcWIG7+5So6RGX8WmCidJnZWoK5m5mnp5nvM8jU3Tz2l02GqVpOWSXappA/hzagzq3xVIxcVux0JIjaNYBAUU1Ys8pfVuNnxfLfBi6zVuR37FujRRTHtZJtm2NUpRZtnppKJNzLJYUEkngeTllDdSfvJ376JvGv0+/xHbtlwm6V+WRVQ4SrLVcKq4bTYxfPECCwECrdbzObdAKgzV3B+P/Pzb2zSaTV784zGBG2KHiyIl2KvgBtJ1FLCjAlCgQ1kmebqKbKWv1+XZ5jWLfufa/SQ2J+R5mq1u0lA/GiFTEJfOj8mQnXPJh20gkg8hyn+DvutuF4s9ZBk3c2uo4t8BidGzP5cH3YUQx55pdJ0zcCsIJFMCvTWgagadNbCxKKsX9FbgBIAFoBU4mo8K7+N7hIKhZZnOvT1Hvtkkk5LnsZAEEAvC8WSCx5sbAOD7zOfRAx5MBo5+n0zDhw9kOLKMG2sIlKD3ejERGt0ui2CFQgndrwNFUjdkNv85z+OIJYFQmZ5tPf9ALL7C6WlKfdb9ZkxrsICiyASv1zxmPQsGDHormDM772G7jaoL9/DAzzPAID7TYgLVOJgtJsD84tYY+TxH1mSwYAyhElhpVp3Q65GtNDAvbLc8Z1bQqFFx8hfrvtOaLmmlgQy+0+ExZFlSGKhgbTafhzzKWyyllHzUAirqnvDdLibjY7slU24F+HA4xMIasCiTdi5NjFD69myWQjN1XAJ9BPKpadTar3tUgIoADK2RygWRhaLZZGOc52m9HA6T+kfruxLupbAS8KPQSwVqAqlRL4qUsaHr2OtxzTw5SddEz+VXX1E1JQD0GwBaBMXLkj+j6yXJpQBOs6bEey7Pkze+3oSrid3tUnibqXyiCkLgc/152W6T2sDsR1FZYM+eB8iQCWgyG5jf7xmaKCDD1gM/HFI1I7m/XrIVrVYYeo+FFAODAeXNAkr1njVlX5xhLtC1KJifYHWNq6o0dlKKj6qK0wriZyth3Ji6rHbdQr/P9RPfkL/bOiAvrc/z9N9WO0Tbku5NNdkCR8XKa537ZuMdfkVAXI01/6XQOEnfjcGP19/uMWegbwiB7L/WXu/Z2BogoUT70GjEfSbbbCJr7ZtN7pVah7ZbuN0O1XTKa99q0aZkwbNhMGBzZay18z7u26EokF1dkS2eTmMKOjod1mICijodWtWenngv2jMTyhKjbheL62s2WYMBZc5q7K1WDQZQYLXiPlTZuDcbC4aqSgGPL16k39ntgM8+QwGg7Pej7QyHA7/XxQWvw2oFt9kwGf3LL3lO5TtfLOBscpEsF141tELJJM1/fEQ+HKK6vARub5E/PnINff+ee62NkgvLJX3tIfA5WSzg9nvkzqGsKgattdsELVYr2nEsa8N9+inCzQ3cZMIRb8Mhwps3yExlGo5H5JsNnPUapex8yyXceIxsPAY+fEBoNhm612wie/cO4eaGo9OaTaowOh0Uds9Wdp/nR443zUxF5qsK/uyM9cTjIxPus4z+c6vhsnfvcDw7QxgOkbfb8DaFwo3HnCrw5Zcobm/hl0v+3YsXVA1YcrsyZHLnUHW7nDu/2aAznWJVlgimeMhOT+PoVVcw0NUDqP7Un/o+JO7ben1XGvTZbIb53/pb/B8lWiop+907Fj95HpN6n6WhCykXk1oUadSYZj5KTtnrsTgQ03tzkxrDevEkKb02dRUo8vjl+TOZa2T01ZDp94dDLpwPD+nzVZQURfRoxiZXDJNYYklAtVGpcBMyezyyCBVIoe/Q6yUgQ4yHNn/9Xp1tFXskCeNg8Mu+9fWany8v42bD45WXsO4DFKIvmb4a58GAxdtiwWtaKz7QaiUgoyyfz7A/HpOXEojMy7TXw3y14rlSIySPvopMyXKlDlAT/PTETVLAx8VF+g5SN9TPmxQCur4q/OsyfxVGauTKMjFEYkjk+VTBouKy1eIGVZdlylOuJqmq0rxoIKUNK3RQUvIsSynQtik47yOi73SezC+FelOloktgBJBkhAJe2u1Y5Ds15CU90rEZN6YhqHi0hhzOQoz0XIqhVRNthW70Cpf0uQtACiriez3Ob7Xm3ItdU9Gu5lfnTkzefo9Zq8XgHZM4+uGQjd5yiXB/D2dyubDd8vsJmBPTZc9HHBNWckYr2u2YmO9kAxDLVHCWtkLNnB2b2++TukKgnKT07XYaLWfNQmbPtTeQRJ/tnp7SrPuiiPdGaDbJ4FtQTNjvWbTVFAPRL13PhBAjo2vW4Dx5VBUluEAcDxUT8rfbZ+Fyz55ZMdjK6NA1NQtTkJ+4yXn04emJx6m1TyO0hkOyD0WR5MLGqjh9H/2jtRRgUr3uZ8m/tZfY/e3tert6wJlzKZCs0WAwpYEXwZpLt1wmG5HGIWp96HaTXareTGot1r2lprrVSkyzJoWYeiTuT1qHpE4qClp4lPau76c53joXAo3zPAWc6lgU2KZnUAC0wF9dH6kX3rxJIyGlKms2eTyffcb3uLxMgLOBHXHv2mwSQKDmViCowBQpGQAe/3TKCRli4QVASf5eP4fNZmLeBaYKZGw2n/vc1bDXMhOcrr8+u9mMmQ++qtisWeBonIPe6bBJESghABvAdDLB/Ouv0/U34NdbY+T03fVc6rzpuLU+ttsEIOVnVpM7GKSxXrsdn1U1siIAypIArwV6OoFAnQ597kBKeq8DDWZ1UdhVZMgNGHQhJCZea19Vxb0hM8DEa4//5utXMej6M60z9nfPguDA5to7RzDDZPbxM0ypkZclKpMZxyA8Ox9xgoD24P0+qrR0rwQDfP3pKe0Ad3c8ZzX5f7R42N4Ujke4L75gVok9V8ES0d1yyYC0LOMzq+uooDep0w4HTIsC892O9+VoxNpgPk9gYp4TgNjv+ZkNG316e8tzsN0msPrly6Rums+RffklvKYSmRrMZRnT42czjp7TpKSqQv7uHaoQ0FivUYpkePkyTjZy19e8D/Z75N6jkhpsueR1nEzYmH76KRtVUxZ4BfaGwKZ1tYK38+tubwle5Dn3fiOO3HKJ3DkcX77kd2404H7v97hvDwasPV68oJrvyy+jYiscj8B4jOxwoGKrqsiAn51xDr3Jx6vLS+DpCdmHD/y3TfkIR/q8AxAzGrzdY9jtUgZOowF3fs778fGRs9xNCelaTFrP93scX7zg+nV6yj16uYT/5BOGv75/j/DwQNBlNGJo3GKB8PBAq4ARCrHmOx75rI1GOGk2sbi6gm80UE0mtCGMx8iN3At5Drdc4vin/hTwH/1Hv/xM/pq+vm/Qv4XXbDbD/K//9dRcSUpsnjH0eix8vv6ai+ZolGTwambEYGuRtM0o+sTqDExObxjGYy5OHz4kebWKkTrzqibCJFDxPfT+2nju7pKMsN1OkrzxODVMatb1PVXwf3Oushpv/W7dPy65qnzn2hz2+7SRq0ER615nVFTsqUE6OXkeinVzk+T7KtwFJuz3XPwbDbI3kqUCCYGX51FMh2R/3qeNSLIwNZdqfvSPflYNg8AInfd+n4nKV1fpZy1gJTIj8noKbd9un8vnVRQuFvxOGtekxleFonyPNbY6smNSZejv9ecqiureVhXKCvATiNJqPQdIJK8/HnmtdU5ULIuh1nF1u0T1N5tUQOv8FwXliZ6ptrBmUayVazQQ55eLYbXjCMaURj9plqVRZfrvGivx7D6sy4zFVuk6l2UET8SKBQMdHEApdbfLucAmPw6dDlPQJac/HPi5Kgo1ukSeX0kABaI8PlI2DmB6fo5bnbvHRwafLZeUxLda9KiK+QmBI+MOTMLNqirKGNFoENWuKt73BgBkxtAEAwZcUcS0chQFN1xNDqgBZZpnrGcmyzJ4z5nlKrglpQ3mf68X7qHfjw1JMJBDgWnepI867meWESu4nfY4A9xCVUWU3mcZ7xcF76n4ryVTh8OBnnutL1L6WPEeA7ZsrQgtjthBCPQ0G/gSnKOiYzJhM2HXA7q/BSTp+MRAyqKi9UAgk+6HTid9RlGweJXcXYoFFeoGwoRWi2yL9wibDU47Hcw/fGBQ0pFjriJgJmC53U4Bp1p7+/00inKzSf/IoqX1dbFI7LmY6KpKs971nJqVIRb419dJYj8cpuZaawuQ/kzyVK1jekarimvfcJjuEYVfHQ5pbet205o/nRIcKIoEJkiq/dOf8jPPztL40rr0XaBZHQStryPak6VC0j5sM9hDp8P7W2BSHfRUA9/tpn3RuaR2k1dZiicd8+EQ7XHBABynJtee4Shtl4XNlHK+3Sajl+ecL6+6o9tNgaYCoGU7Kwp+ljF6rixjEFk8LoBrfJ6nZrDRSAqcqorPZBgM6Ku1+1VrjxMxoH3YzoV3ju9pz4+3wh8hJIVQ/bXZkHE/2AhJ27dDWVIar2cfYJNta5kANGfKRTHxz16/Sv7+zb/Tn5clQ+3ynDkYZUkAwGoONa1RaSUSQECFSb7ddsvrqZqs2+X53zFZOzPPdxiP2Zjv9/Sgi5zRs29rZxgO4d6/5/VVVlJh01vm82jZcXaPuPv7OIYy2Jri7J+w2WB6eYm7JsMLI9mijCDVJ6qxmk3uZY+PXK8Xi0hAOFPOhEYD+OILyqXPzijr7nTICuc53KtXtKFpVGW/z/pYtgljs9FokDU/OaFa4vGR98p6HfcSrzVuOIQ7OSHjfXfHFPz370keXFyQPbYcEqzXzInY78lq2zrkcoa8Bu+Rr1Y8Z9Mpj3WxQOOnP8XRLDsFgONHHyFbLpFdXRGcMVC86vdRPD1x/vhqhTCdIhuNgLdvo6S/HA6BuztmBngflRRVr8e9+HAgEGZ7r7NwPm8TPdz5Ob/Xcons6QlhvUY+HKKcTnl9v/iCqjsbM4npFNnTE1y7DT+bIbx/D9zcEChuNLgPnp7CvXvHmssUIlm7Ddv9aUWxdTKs15iEgAfld204lg6PjyiOR5QNy9c4PcXxX/1XgT//5/FdeX3foH8LrzzPEf6b/4bFnhpwMcJiZyU1BoBPP2XBkmXR2xU3VzFv8lKrsRY6KcmepN0qnMZjbuw3N6kBV3J63eMGpGJEPyd2TT46Md1qlITYy9+nY5CcUAxxp5P8gfp/FfIaLaTvIO+j/lHBrSZU/9bPSjaoJrDOtom1ECNSlzbe3yemR157NfSyIbx6xUJIYWZq1GUxsI0vyt7FqqqAFNNgnuU4y/qbzKoYbvOpun6f3mwVWQJg5HdUc67vo4JH0kwV9Prd3S7ZANSoiy2WIkOsXh1MUAEp5kTnUhupzrsadIEDAqBs045sUP34FAynRqDGKHqAzaBkuGWZimsVeCFwE7NzLubTex/PkVOzq8/QNQkhsaQGRDi7FtqcIgsh+Z485/o8a5aCeV3d8chGzWwozjm+lzVRwYpwZwhv2O242YuFN0+mE8DRbsdEcCk33H6PoPnqdg+FZpOJvOs1C8zdjkWPNcVuNGKRbWxwMGYt0/phRW0wWXcAOPrEmMNYiPb7LIr3e7hejw3/4cCGXOyqAXEKdxOA40x2CcdZxPJxY71OHkn5XVUIZ1mcTe4E3JQlN3e7PgBiqJuSap8BYpsNE32LgoWnsiZC4OdUFfzTE9n7+mzpzYbNhawxpQVVAbxv5e0zhjQ0mxylEwLC+/eJAcwy/rxlP/hOh+ficEh7Ql3uutsl+5Cuex1w6/WS39sAAF+WBHecS/Ok9VxpfRRYUlM6hf2e8k5rQJwBAxFMlfpB65dATq0fatSl8NLfaTzo4yP/XsDheJwUXkpbl1y+qtKYNq3jUkFNJvz+Nzc8ntnsuWVJa0s9/FKBclLHaB8rS/7uZJKCSJVxoWuvyRVazzqdNHZTxy61zddfU/7e7aapHApfE4uoxl37RJ6nvVtebjXY+r1OB5jNUqOu9V1NnPIX1Ahq/wHSPqyAQT1fAglka7CpGmg0UgKymjGT0DsgjfoMIYWIHQ5M+DZJaWg0yKLW71ntKQKep1NmkQhkUjijrQmu1YpNapxQMRikMNDNJs6tDrLeGEMcGg1+tsAZfZdej8+p1o/MJniYUiaGw9WfQUngzZPudWzHI9dXXXv7WeV1uEYjjpJzzrGh/yarXpe/23HFkW1AZLwVahoBXLvmmawKIfDzLCROa2i0IuV53BfiM+IZLFe1WmRyz89561xfE0QdDOJ94DYbNv6S17fbyH76Ux7zZMKGu9/neZvPyeZ6zwDL7Zb77nDIvVusuV0DdzhExWHY7+Ma4fKcLLCUeQD32FYL4fExStzDwwMy71G9fJlq0+0W7uc/53kfjwkmt1rxOMPFBe8HWZ+cY1PoPfzxiPD4yBFml5f0QA+HDJY7HCLQ76QsMmVYZuFywST57ngEfvELPgfmGZdaJ9vvUQ2HKAQsSBln65JqHPfmDSqBi599hvzdO5QXF0CeI+904C8vEb76iuBLqxWtAw5g4+9tJNpsxu/68MD1sttlM391RTLA7n2326EajZAbIBSvO4DCmGnvPaoQgI8/Jrh8e4v8/h6h3YYfjcicz+fIvv6a99RwyHOQZXw+Ly5IOnz4AHd3R4Du5ATh7IxBtw8PKGx9KgcDaCwpQmBWgn2/aIE7O+OebWuAf3xkvVNVrM8uLxEuLuD/2B8D/uSfxHfl9X2D/i28er0etv/z/5zYzPfv+W81tGrmgBR40++T9fzwgQu2RsmIKVUAjQo1FRoqDoAkRVyvE2t+eclF6uoqNfJq4lXwaNNUeJuKYSAVCEquvb1NMknJy8XuyzMuBleecTHMYjfUXEuWKx+h988ZAcnB5ReVfE//1nesF1Z15kEbl6Sp+h5lyeOT9E7vrRC+uzsWNGdnaU5uPezIGMoopbXi/ZkEUWCBGBQ1fGoo9B2kTvAenUYD23fveAxKiRfSa37oGIRkqaiRfaqzvbpHNHpISoftNoU0fTPwRr5OIE0a0PfTfXE8JlZd97AKJBVo9WJfnyHlgZjZZjMV0AItagFiocvZncF7yoLNh6vi0C8WMc0VQPSKw2aSR398CBHdD3ZPZQAbHCD9jAo8fW/5QsXUhJDCdTYbbgjrdZQhAmz6s6JgUI+3IDG7/1QABXsWQoupxjpHQY2ZvHVik1crFqcqPCXhB9hAN5sInQ56jQa2xrxgveYGpuNXk2qFCjodnouyjAVukNRS4BfoZXfDIY/N7g338JC8x8YShk6Hnwuw6Ldr7BoNBlKhVngfDmSJlUJsz0GQtM2KSXc8JtWL1BB5Dl8UUcYXTBnkcvMrC/QzO0kwUDQcOcfWmV9ezLGrW37GYxZOR84S1jobi/rDITFyvV702TrJgrOMnzca0b9oYT3wHpjPY8JtBEb0vKkJ030kBqnfJ+vifWRcFCDmy5IFmtYhu8dhCgcHxOySkGVUSdjPB5OyO2OYQ1Gg22hgK9BNrJsaLAGxKp6lEqqnmK/XiQlWUFmvxwL+4SGt95NJAu+0PwyH/LNGIwVE1ZlwgGx2WXJfPB75PlKDiWFsNsm4y2YgZYLuUwUGai8bj1MOhxLldS9or9L5aLVisQsggVICyH/xC37G5WUCMMTITadJaSNgV3uC1v/6nGep1Dodrv+DwS+nujuXQvz0Uo0QAhuTXo/3php1Y3ljjoGaJc2l17ovaXS3mywahwOZ0qpiM2cge2c4xNp7Pi+S4TYayfJm89LjcY/HZOGLItlfpDawaxjsPna27wftE7LZyCcur7lZ9UKrRdbZrIHBMRk+kgkCEGxv8o1Gsi+pka2/9vvYrAflP9he4KXEs31EGSNwLqbAR1Zd92f9pX3T1uRsu417UXY8UlItwMIUJpra4KXS8J5ssPZHKWNkY2i3n+cU2Jrsz87gHh7INo/HbNYOh/hesmaE8ZjX/Pqa97Q1lGE0gnt8jHkt8J5/dnsb9+x4v5lCyi2XBFMtN6iTZdje3aV7fb9P4al6XrOMNVi7jXw+R3U8Ery4uOB3bbfhrq7oh5/NCHrXvme4vEQ4O6MnXPXidgt3dQXfbCJ/eIB/fCTTfn6OMJlQaXd1xXFfjQZrBrML5MY2Zycn8McjGg8POHa7wBdfoPHwgPLiIsr+nRFVrtFgA71acd8qCqrHnKNH3oiDYGPKQqMB97//7zzW8RhFq4XjyQlH1376KYHgw4Hkxekpp6fYfukHA2TTKcKnnzK7ZDhk6N/DA6rra+RmvwnbLZtgC6mD7c1BCqLjkXaA+3uev4sLAu03N/D7PQGb01PWOl9/jWy9xuHNGyod7D19VSGcnzNR/uYG2f09QY7pFP7yEvnNDfyGs+z9YABn03pCCPTYN5sEWZwD7u7ghkP4PEd7v8fu4oJKhfWaa8DTE9xgQJuQjT+uPv4Y+LN/Ft+V1/cN+rfwms1mmP8X/wU3aCG1KjI+fOAP9fsJPS+KJBsUEv7ZZymoZzzmn8vzqAVQjZZ+X0ik0GohmY0GPXb9Pt9TY8wkjVeCrrzvhk5iPk+JtGKvT06SRFHyPzFUQm6lDihLftZ8ngoqYwmiTHs6ZdGzXCaJvdj5Tic1hioU9d86byo+nOOxqUmVdFoFm86LwpPkAb29TXPW1SSNx6nYur/nudecXDFqCtURs6vrNB4nL7gQckkWgVQwiplSUeQ9prMZ5goEtCAvTKdJyqoiQ99PIYLeJ7WCGnKdl296+xeLlBmgEEMBLgIOnp4S469mXP8tUEF2BTUe+p4ar6VGQxLOquJn1Rgb2EzbmI4tWaayCnS/NDhz2pmX3k8mlNBp8x8MUiCXFSfBe8ra9Fnyktv/y+8sNjpKJe0cODU0Nk/b7XZk6cVKNZtEpG0zkWQv7HYsejw98mE4pKS81WLR2O3GcTjxPMlb+/CQJJ9lGX2KwZ4vF0KSxjmGo2G9xnQ2w52NlEGzicwkbGGzYUFtjL2k7TgeebywRloS7OGQTPt2S+/Xek1gT8203U++rogJIcr0g8nnYxqu3a/ejimo+S4Kfo7knPs97/cjk3ad5S3ERsPY2JBZIN1mw3vUVBGh3+dGrWMwibcK5djI6hob2+s3GzJ7akwteMoJFNM9YPewu79PDGZVsXm0tUQj9ZwyFeTlB3jtxO6qOVODZvdTOD0lw6Pn1Zj9EOjBzVT86tmXhUfPeGYz502GGe8P7ykf1D5wOCQwarmkrUaMuf7ZbBLIKLWWQFMxzlIhaa3RuiUQcTpNKiSNNGu1yEpr6sVymaaVnJ2lMFJZCWQfqnvb7+54HhVGqbVXfv537xJooGfMWNHYLOl573a5FzUaPA7NEK7b0dRQSpWgMWq1cVBoNrlfz+c8rlevUpK88jykOtI6KRZQ67VyAvRcCSCVGk7rguTzjUYChOtSbzVpzSYTqLX2C4jU99Y1K4qYYxOqKmVV6Hnv9bi+GeulxPvpT36C+RdfxHvcATyOeq6JJMGa2CDJ6nAY5e9R+Xc8pj3RmHkcDjG3IXS7TGr2PnrAQ8smepgqBFmWZnhLpaK1VlLvmtotCEjWc/5NGboBsm6345rb7XL92W65bur6AYlN9T4qd4Ilf/9SYB1AZvzAYMZ43mv5BtlqlQJHleFh58kdjzwG2dDabfpwCxs9aeCSbzSYfn1yArRayK+u0p50OETllwLmkGVszv/gD3iOTk64L5tNKru+prrImHwPggh+OqUVAng+oWCz4bGfnfG8HQ5cb/RMKvPEgI1gIK47HLjnvXsX91o3Hsf59dlPf8ogz+EQ+W6H0O/DmzrMf/wxn5/5nA1jowF3e4vs4YGhhNfXBJunU7jTU4bPLZdMXO/1uI5vtwROpGyYzcjS7/eU3DtHZUGWIZydkSiwvdw9PSHr9+G326TKqyxvxTl4s5hk1pyHkxOOhPv5z+E7HYSLC947NiMcj48xDd+323CdDvLlEt7u7TCbUe5+d4dKa6LNcy/mc3izSmSbDfxohAJABdCPbyBWNp+jarf5ubsdx9WdnCDM53C3t0CrhaLZxOH8nLXNF18QnL+4oLqu3WagXK9HS8nbt8hubpi03mrBnZ+jHI3454cDgYrT07gfhRAIvHc68HmOsNuhWK04XtGA6ZOLC9z/9KfIAFTNJvKnJ4TZjD8znTJkeLtF+cMffj9m7dt6faca9P/0P03eXRUCttji/p4yOY1VUeoqkJprCw/CZkMJfFmyOBC6b4t0DPUSu6HfV+GkDVCb83hMtN98rCqM0enQg60mabPhxq1CZD5PzIWaXAu2ipJGk9VGdFxSxcGAf/aLX6TmMMv4d2oADcWMc9WB5EmvM/NiD8S6qqlWgynpuMmunikVtGmooGm1WFDoe2pmuxoSBRgBPK4QeI4kjd3vE+O/WiXGfzwmICLZv4ppobkq+sVOA4BzmDabmCvJX+dA10KSWeeSdF5ATU0O94zJEmBzPD4P+KuqpMqQBFggixQIkmPq53VOhcqrCBODV5/zq4b+8TEpLCYTHqP8fAJ0JAlVcSSLhbGmEfSxRtwXRWLHDJxy2y0TPVWAySeXZdF/qLnjod1OI83E2lphHFREb7f0Wpkvy+n8hJASfCUJ3G5jsBCazRRS02yyKGky1AwhPCtKMmvmcTgk77V5IIMxJS7Po0rBec//Lkt64ZyLcsfZbIb5fI5gbK4LgV7MNpNhJV/L7PkI9nvOGGe329GDXDJNNyaWe09GzgAQKQCwXKaUeFlKVGRJamkhTfWmJDjH91os6BkTwKf7VoWW1DEhpNGANps33nsnJ2ymFfwjpvybyhWBY60WGRFXC7Ibj2NAk9OzsN8TGBiNEAzMih51sakmwXUhJMC0Dpw2GmwkJds2P53Sf8Uo1nMVouLIfIlOx6+GUc+kcjSAlM5+5Hx7b+/n2m0em5p6+WNt5m49CXza62FuIT2SP7vjkeomU1zE51wNidYOydgFxAkI1fopy5bW+JublLvx8iXPpZ3zGMh3cpIa1OOR112AgeTvvR4baoV81tce+eLv7nhOBTDrXIoZ1jqh5mk24/q63TI/QHuL2H+x17oGAjfLMuWOSDnw5Zf8nDdv+FnyXvb7CWyVfUj3qo5LFgL9mWT6sxlZSIGgsj5IxaS9BUiqJluTcHaW7FLaA4/HRBAoC8BmtkcljO5759gwW23gFgtMnWPY1+kpQTHtcwK8ZKfT8SyXPA8iAPI83W8hJJBSFhFj3oPl+MSxagZOxfBKA2LiRAfJ8q1pikoCraWdDht1AbRax2r2rl9KXLd9OLMAR6/1fbtl4ybAEojrfFZVlMnbs+a0/lkzLHWMK20+u55p2X9yjiz1AneAGLbqDHDxzWaUgEuSHYC4V7iqYkr6agX3+MjZ8S1Lvpeyo98HHh/JAG+3cG/fRkAZVcWG3WpJPxgg32xQaeqK1AV6L51nyyNwoxG8rq/tA9OzM8w/fCCzbscd12lbG93jYww09ZNJAv2enpB9+SUbW/ueGh+HXg/hzRvuyVWFfL/nSLSrK17P/R7h/XsUzqH66COu/Y1GXHedEU9ZWcI/PPAeabV4f5cMUM28Z+jq+/dcc0YjeLNBuKcnFN6jynN6002t5FVPZhxFmHuPMBxypFqvB//TnyK/u0O4vOT0BM+xZO4Xv+Ce2W7zO3U6tFqYKrVoNnE8O0NuyiI/HCLrdlGFgPzDB+TLJY5mSSx2O5SjET87y2hx6vdjnVONx/Tst1rAj37E5+Srr4DNBkWng3I4RDg95Wi921uEy0tOfplOozLOTacEMN6+RXZ3h9LAY/eDH3CE3dMTsvWaNoLZLNYXoSwJ6lvtGW5uYuhvtlwivH6N4uoKg+MRjyFwLByA7Ec/IjBjioiwWCBst6j++B//PsX923p9Vxr0druNw3/9X6ciRYi1ZOGS8B0OXCC+/jptSqenqWlTESQP+/v3qVFWQx5CYhvyPDHzarDUyKvgkJwtz8lmKIRsPuexdLssciwAIh53r0dEUyOvlPIt6fpyyaKoLPkdz87irM6YQv3yJd/TPDGxUJQUX8W0wtvU6FnTFGX53icGXw1oXS4q9kTsreSNQGqOJZ2Xh28ySQXjw0P6cxXZKo4Wi8i2YTZLgU4KoClLFo5qoi8v+bMKRZLPU4WVCvpeD81uFwcxWFmWfIr6LmJYJpMUqnI8pvvFGMVnKoKTk+Q73+3Sz0qGKGZdwIuACzUOYunkZ5ekX8V//We9T42HmiDJejVWTddX10kbtJi5k5P0nb1PEnmTsKPR4EgzK0ZwsHCfTic1wtaQ43Bgwqgk390uG3VjLqJE0ZqAINlXp0OW4cjRQMGaO7fdwq3XqYFqtdiQW9Eotj6ICRKjuV6T5SlLBMkwQ4jSxWAAgEZcRVm7MeGS/wdbP1y7HVOSw26HVr+PfVWxaJHkXjJ7sZ3WYEuyj9IC1/b7NG9azeBwyCLUwAh3OJBFa7VYDKlZlCQ7zyk5k0Rd13O3Q5hOWbBohnqjkYAUMTQKhAGi9DPadkCVgjN1jFczl1varwE3Tk2ACmXd040GCwfnWJSp+Xc17/ZgwEL06SmlhcseYgCekt713DiNa9QxPz4+z41otRLAKguTnnWAz5I1JcHZJICyJJOg+1jZCe12YoL1GWJTu13eq9ttGqEly4d9h9BgQrb3PjHxto40+30cNA3i/fvkfT854TpzdcX3qbOFWv+22xSuppwM+Z3VaGmNU2hco8G95v6e12c2Az7+ODVLmw3XinoieqPBn9f6I2Zb1+rxMaXLa03s97n27vfAF18ki5LOoQBbqYbEqmsfyHP+njzumvaha8KNPoHVRZHmvktu++WX/LzTUx6zrGNakwUy1y1cskHtdumzBQqagi28esV7Ud5WKSq0TpsyxWm/0v53dsacDz2fAvhVk4hVN8AijMcMS9M9of2z30ez0cBB11E2kU6HDXJVpeT1Tof3qNQvatSlMDOAJJja0AnoAtL6LwbZlAuadKF/IoNvz4wv6JF3xyOCfXZWyzBBUaSRglKgqZFqNqPVJ+gz6q8Q+N62VvpOh3Oz/a9IddcaC1qgnFQzpvTJQmAoJ8DmcLmMSfLeagJ9ZrbZUPGjPbzReBYEiowBnJmpRbxZ4bLbW77feMzrUpa8Rs1mHHnqZzNkn37Ka2xqjawo6C1/fExAkdjYhwey5vV8ILNJafSXxp8h2Mx1Oy/N3Q4HAVB2v7qqogJgOET24UMcr+pVjzWbMQguruECNXY7hJcv4S8ukF9fsyawvcDd3NCr/fXXbEQnE4TXr5F1u2Syb244g3wyoRR9v4/hq8Eyd9xqlaaJfPYZz+VkktSa2y3cYpHAYgPxMnsONdHAhwCXZWSqZzPWE7/3e5wK8Po1VYTtNmXx79/TDmL3Veh2ef1B65k/PWWz/v49MBig0WjgMBigsVyivL6mMkOTiqSYMDVbMKVuLttKv49ssUD55g3cixf8/l9/zbFsNgnDtVrIvvwSbrtF9eoVn4+TE04TAOL7+asrFJsNJf2DAY6Xlyg+fOD52e9RvX7Nxl4BkNZHZNpT5nOCSEfmPlRv3gCffgrnPRqdDg53d0yHv7wkcVBVyFYruNtbVN4jOzlB+eMfA//uv4vvyuv7Bv1beDWbTZR/7++lJs+K5sgMAGmBUfFS96qrAVazvlzyd4xlwnqd5Hga69VuP/cCt1pskutS690uJaZr05VsXdK9+/vEmlrIUWyinGPRc31Nqf56nRgWMf5AYkrUvLdaqcBUEzed8uckp9ZGKa+imGgV7AIbNBdYaoLVKjXN9bE7QAIAJCcEEoNt4ViR7RFbUBRkPkwCGv3Iy2WSv3e7CWBoNnmdVDQD6bNkE/Ce5+Hjj5OcUU2ovNd5jqLRQCmGRjJabQ5q2tXUimHJ83QdD4eUcaDf1zENBiw81TCrSFeRKMCjLknXZ6jQHg75vu/e8Wc1S/5wSFLYOrs+mxElVxaAwBYh7vKrqojXNdQzofeTtN8Y1GDe5gAkGZkV3vLsBiCN0wsMBwt6n4eHOGM15DlwcsKmXL8PesfcZvNsfrobjVIyue4vMZKSwlpT7rZbhrvt9yxAQiDbqWLHpJ6uLBm4ZCFv3hhpBcKFfj+Oo3Hy2KtwrCqEqkKzKHA4HOK88/jMNxr8eUPvnUnLw80Nix0VjKbgCabaCFY0xwJWCgqTH6qhCUXBJuBwSN7WTofX5XCgJ1SFQZbBjceJPVQTY17NTACBFBrtdgyKk9TT7fdMuzXAKdi97QQ+WfJ92O/JYAyHPP8Cz9ZrXmOzz4T9Hk6svVLDB4PYbPqiYGGzWKR72BjA8PDA777fcw2zUZCh0YDr9/keYjGBlPFg66gS2+M4NYGdagBra09kyU0GG/39WUbmbLkkYKS0dD1nzWZa05rNNC1kMKDa4vYWjapCqeZQ4yzVeNv1xOUl31u5AGpQAT7DUhAImFCDK+BYzJrsPQLhttvkHT87Az76KIHa+306f2LqOh3eZ/M5z42S1GVnms+T6kmsXbcLfPIJP/8P/oA/I2Bb+6ek/WrcjU2OTcZ8TkZJioIXLxLgUlc1mIc6SvTN84wPH7jmDIcpb2W/T+tfUcTxenH/0vtJcbdYJFWVFBivXvF+ENCqGqO+79m657ZbHoOBzaHTYUOle1JqNfn1BZCNRgTZmkzUDpsNXJahKAqUdVXIfM6fHw7hRyOytArD8z6RCgJG5b+Xx97uqXB6Sr+tWH1TZAUphsz25ATE2DkOtsZr7XetFq07+u7NJtcZKfB0bdSslyWfSSD9XZOj136l/B2gEspA9NBspqBN2a70MsA4k7IphOey99Uqyrqz45FTSlTDHA7xXIYQ0px4Y9lDnpOll+0vzwkaH49kFju1UXnbLYHo0Yh7jtUP2aefMlvDwOxggJNbrWhHUD0pALTXS2oM1Uf7PRuxdpvWHykG9cwcDnD39yjynOyqHW/Y79kQ299HJYOUaFXF2eZVhbLRQMN7HKU2dY61WoMp3t6eeWfTUSrnkH3xBa/j+TncyQkl71KOGgAQqgru+ppMeKeDcHlJtlfr8tMTinfvyJafnHCN1x63XqcRZVbPBQNFlYye2frnh0P63d+/R/H556iGQ46KM1YdNzf83G6XKfAGGrrlks8fgOr1a7Lmm01cR/1oxHX04YEy+qJI72OAuK8q5FmGqiiQX13haOGOrtmkLaDfR/72LYP5+n3eN6enyBYLZF99hbLTiaMvXacDv9lwfnujAffhA3B/z2eh1WIjXhSct65sgdeveY/vLTCw1+Oz0Gjw+VytmOPy9ESG/niEu7piEnxZorHd4vjqFc/TaIR8s4FfrVjL9PvwIaBxd4f9v/wvA7/7u7/8rP6avr5v0L+F12w2w/yv/JU0JkuNFZBknZILy3OoTUpIvDURCIHFy+lpalKBhPiqAaw3C/XmTCxQXeot1qzOblZVChDT3Nr371MxLdRfYMPpKX/m888T46wCU17o1YoLh35eAIU2bedSCNDdXTpmkyxhOEzptqNRKjZVkGtmuIol+bYVdKcipdFIzIAKUTECkwmPRRuNGHTveWyXl88Rf4EECmuTQmA8TqN2VFgaEh8bGLFur1/zfEq2ByR/Vn2ckAJjZGnQd9NmXJYpTK7RSGOQzD8W7yc1Fttt2vgEAgh40XEonVtgiRp1sR31+2S5ZLPebKbZ7ZIqyjsqVkHjgeQxVdOvLATdo7qvJdOUt17WhfWaRYA8a8ZMBB3jeh3DakJZRnTebbdpxqbdywGUfYfFgo2++cPic2nyurDfxxAazUR/FnwncMP7mOYutkZydYxGcYyie3risXn6KMWgOQDOGlZkGRn83Y4FgAF13qwX7nCg/LPdxmw6xZ1JwEOWsVkD+DMhIDw+UlKu58vkwl7FnbGVwdjXrKp4PqwAc7Kr2CvOHrd7JrRaLER0fQE278oDsOfWWbMVZ6frnpQsHWDBYdc3032k+0FAnlhb3UPmg3MGjIVOJ84QjxaFLEOw4jMDkhJIAJ01BpEV0X1q4VtSazgxm2o4JHduNJKf2rn0zAkgs8LNya9o1qfQasUZxeFwSMU2kGS5rRZ8t0sVgBrL+j92bDDZYmSZDQAOgwHZxMUiqRtsv5menDyz1YRGIxXz+jzZpM7PUyO836f1VGyfc0mVozVf00QUYiaPrFRZyhm5vU3r+atXCegry+R9V0Oj5kcTShSWqedb3nDtv/f3PLYf/5h7yqefUrUm8HGxSNdS10Z7bKfDROLplO/z/j33qizj+bBU7Njcah2S/F22LIEuHz6k/b/V4hrX76cA1bJMkv9GI63Z+h6yKWhd6fW4nyhDRSPZ1MQIUHGcLuF0rlUXnJwkUN8aOAAJOBVw3mpxPNJoBHc44LTbxd3dHdcaqQTrQG+vF8O33GKR9ro2xyc6Y8ocwL97eHhu/+r36aHX9RC4CiQZukbVGVuvVPX4svcKBlJktu/4TodrrUARu/d9s4lMYJXWcNvvgoH89Znl8XXk3HjNNA+NRvQqe8l39VINY/+drVZssr1llui6AdxLFgs2f/1+Stw+HMi4tlpkEe3+clmGajikP3e3IxtZFPx7e4bDcEgJ+ekpnI35jUn6ZkVzlmHhOx3mizSbDByzWeJaE+L5MoDGzWYEWLyF1+n+033RamE6mWBuoFxMdn//ngqCEOijNkWce3ggM2v7GkJgCKf5zvH6NY91t0NWlpRSPz4SwLm7g7+9RdbvI3z8Ma9dCMDbtwRyLi8RbIyi05jdfj8RYKqbrq+R398DwyGTz/McZWDuSrbdotpx1Ftm18vbfyPP4bMMhdVt5fk5VQk//SkVCK9ekRgAqM569461SKPBfSKEGE5a9fsoBgOGqn3xBZvqTof7pPdUDmy3VF0cDnyf6ZT3ScWpB2E6hbu/R75cour3aZ/o9ZB9/DGv189+xnvOCAHf78PN53AfPqA6O0M2GMCfnKRxbHnOff39ezQ3Gxz3nPKCjz5iwv18Tr/5bEafva3hwXtkJrcvGw2u4WYxyXc7hE8+gfv005jlIKD55Ld/G/em5nV2XbDdco25v48hsOXv/A7wV/8qviuv7xv0b+EVPei3tzERGP1+Wtht1mH01gh5l3xRfy75tJJjhcCrOVCzq4JQvytkWcyx2NdmMxU32ljrcsSbm/Tf8thJyihZkknWYnE7GHCTv7nhQisG1OQx0T/5xReJdVVTDCTJoULhhN6LcVIYmhpVMVzykR8OiX148SIxMyqMn54SsyKfumT7Yn8FLsh2IHZbTfVgkGakL5epcVbq8OlpanBrDU9E6usew8OBxyMQ4vVr/v16jeloRD+ojkkBbt1usgKoeZREUUzDYJBCCcXgAAnckNfXZGjR/y7ZqSGtsfnXIigJpAo2odp5HiWqoSjgvvqK50pJ+Do2nWexJ2J4lssEWGgzVPOosUxq2KX4MK+7t1EbIYToJ1bATET+QyCabEw+BgMWiuah9M5FD2GcvytriPxYdRmmGov6ubVGVYUZjseYzu7lW7UwH7fbRTY7NJv8OcnBxSKrGRLIJpVGnlM6p6wJAyCc/d3paIT57S03Ogtmcut18poK7LGGN1i4WQiBTLPdSxHwMMkiQohAAu7vCVA0Gkk1cziwgBTrbddLI4ycgWHBNvNsu02zpeX3FKvaasXvEwvxwwHheOSIHYGJAH9ejXu3S69nybTjUBQEOZzj7xRFBKdCyeC9zJpZX5vVHAPgpGix7IDYXOh7y5PsfWpU6+uuVClak2z+ePT8ilkCkuJCDReQQqEGA54P2XdsdE/8HLGS+l0BwXmewiMPlvqrpsu8fbHxazQwffGCjZbWXSmdBJqpWWw2k3RehezVVRprpsZUbLek/vU1X+Cm7BtS2uiYnOOeKQDkk0/SddZep3vteEygnuxDahQFtOr+19QSzUt/8QL4yU+4J/3856mxV1NxdpY87VInZRkb9bMzvseHD2lW+2jEv5MdQWCBrC6NRgKgBYbe3KSpGtojxRzq+DU3XaCMQuM2G95f2vsVpmlp0q7b5b0pRYP2fj2jappUn/R6PH4Bjvt9YtvNo/1M3TIcYvqjH+H2/p6s+pGjwVBVzAkRs6z1X/L39ToFzRmQH0eGlSXCes3nTXumrXnBxjBFIF17g53jUPPiOyCtLzVwWWxdKC113daAACQQYLuNKhhJtgPMNiR7lkmRI9hbfxkgrFn20c4DAzG1nweGzym5PAbECVwoS1qClB9iqgMnq1OrRfVNWfK5bXKaRwCQLZeUhwuUEzMtsMN7qpAslCwzq5krGMoZM4LE4Nt1l4oL9c/0ns3t4YDw0UexPnFbzlqPyozlMk7amXY6mM/nlMsbm4smg/IwmSTgxiyXbjSiHL3TIbi63QKzGeXvZpNRFkz+9MR9/d07fu+zM/jXr5E5x6ZxsQCkBtnvo//cd7tw0ykUMBqKguDA+/cIIcBPJnHsnfMe2XLJe9zk51LMhcEAPs+Ry6Kw3VKhZTkA+If/kGv6mzfJOrdace/p9WI94xoN+PUauT275WyGrKqQ393h2LQQ2HY7ZUgZgJGt1wjdLvxoxEb8eERRFAxqe/+eifCmkqhevIA7P0dlo9JCq0Xw5vSU98NXXyFfr6MsPUwmVPE5x/32/h5htUKxWKB0DtnpKZPjb29pFwgB2dlZBKvCcgnX7RJohtkAHx64V+/3yIZDVO028q+/pk99v4dfLJCZRfTkxQvcmyXNffUVUBTIGw1UDw9RpeBfv0b1Z/4M8Gf+zB+xU/v2X9836N/CazAYYP1f/pcpfKueLKsmoL5ZWlEW/cGtVmJ4syw17grGEUutADMVhvJqGyKMqkqBWtqodd1V3CkRVhLVokiItjZnK6CjxFB+5fq/O53UqL59y0VZs1eVftts8n2vrviZZ2eJLa77K9U8Ho+pkRMbLNZDxYqYNSAVhUq3F7tt3rUojRQTo+JLqLWsBGdnSdYvllms0MVFGnMGpHnhUjsYwhu9v4NBYicEvAio0ez5wwGYTtF78wZrFSiSz8oWIPuAGi2T8EZgxoJZUFX0+p+epnMnMMNGnci/Fr3fKmrrQXRi41VMqjkQWKJ7V/5JGzOF+3tufEWRWHXNk1eDo4Jc4+GUcK0GTQoEhQPqOhi44p2LabVB0ms1ZwADgjod+qlUCNl9krXbDJkJAa7fZ2EoGVbd867CSFJjFXVbzlSNxU+vx8JmMKAMsyx5TeRVBygTlRzcfGXodPj7IVAyr8ZfaarOER0WM2lFaZzBDVDy+fCAAYDVZsPiVg2Ajt/SYjGbsUA0SaozBY03NDx6FzcbovcK/LJ7VqPenBVXz+6Bun1EXkcxJLe3CfQrCn7XyYRFptQI1lzHBk6AoKSBvR4yG3vmDFjQMxRVCJKKWxEaDodY8NYl5KHX47m7v6fUcbPhdVKA1+3t87VX4WECAsUESt6rtVaKHa0HAlQEKhjDp4I9ss/eJwZeUl4LnAz7Pe9zpSEPBslrq3BKXWe7P4OteVFyqWZa67YKQeeApyf0tlusyzKNudO6qO8vdQyQporU76/xmNdKDaOaU4FCWsPEIp+epvMltYmsTGpUi4LvKdn0D3+Y9iAghaTpPtCadjgk9Y+YS/2M+W5jNspyyc/9Y3+Mx/J//B/JpiNF2XSacgQEEhYFwYbLSx7z+/ds1G3Ob/wdAc66NmLXNUVD51dqufr3EAguUFrMtgDWPOfnCMRTCJ32l7OzFGK1WLAxlm83z9N7C+DWe7TbZFa190oBoHtYVrXjEb3xGOuKIWKh22XDU7dkCdRQzgPAhtieJSeFoIH8wSaCOAWY7XbPcihipoNZjOL8c13jRiOlrGcWtKjvoLU9z6kaMhtUlMl3OimfQfWT1TY+zwmcApRCm+Q+Ko5arV8OlRNYeDjwd3X+qopr2PEYlU4hy6gI03q23TILo6r43s0mrVLbbfIpay8yUMe32zz/9vxJsi9Fjz8/R3Z3x/Xj/p5WKakI85wMp4GIUh85gMGrylcoSz4zApz2e7j373n9Ly+5btj5DlJ/2Rxzb2oSt1qh225jbXVptlpxnyuKqPhx+z3C3R1ntne73J+NaXZlifD6dWTXQ1XBzec8z/s9/HZLq1K3i/DyJeXQhwPncDsHP5lwPb2/5ygx8y17k4/HPe7DB96f/T7Z+3abDbVzyB8eUG02cI0G2fTdjt+93WYwoO0J3jng5ARZr4fw+efIrq9RzWZ8bguOC3VPT9wT8hx5UXA+OIB8tcJhNELTexw+/hju/XsCB90uGeSiIAix5Vx0ZR34wQBZt4vs/v7ZaLf86gq+10OV58gaDfgf/pC+8p//nIC+gmBHIwINX31FVcXFBcJgQBWCZfCETgfZzQ2q+3vkRqj401NODbm/p/d/OiX4LeVLWcagWZdlcKsV/HZLZdt+T5m/ZbI4kRoAqlevolK112hg99VXDPAbjaiUlHIiz+F/4zdYv7x8CfzFv4jvyuv7Bv1beDnn4P77/57/I/ZFI2eULKtAHcnTxR7rZ+uS4jqrK1nw3R3ffzxmwSAmRYWLJK1AmrGuvxuNkjRRDahkyGpytbFYmASAVHhJUi4mBEjfRSxAq5Xk0ipAxPQI8X73LgXYjMdpdJka9ap6Pgu+7uvTApBlKQVfc1eBxFaoIZbf/HDgAi3gon6OJVtXQntRpOA4NT5i5wWQqAEeDlNoUX2cjVhnnXM181JVSO2gRlXy1OEwJZiXZQIIdK8AqVESOyJARtJcFZLNJt9bTYRUD/p8jUYDksdsOEwzclWk2QIcA6zqkwNUwFoYVGTV1+t0bYWoO5cknrpXiiKxProWOjd19qcs6amzhjsI4PGeG/Z2m1LJM/rGnfzGJgkUqBN0bQT+iBUGonQOO5tjbioHSS/hXAKBTPXgPMPjgoXgCdmNXmkVi8cjvJooY9LjaCqx0Ho+j0cWFZXNATbVQTDPZCbGV6CfASPBlAxBUjmFK0m+J7vMZhOlkyiZKOyazTT+TM+/sea+06EHXM/SaMRzbwWiU3PjPYtku5d8p8NwO8nedV7lXRYQYlLD0Gxy1IuADTXEBihFJkzKi6ois9Xp8Jzo+W+36Qnd7VhAqLmbTllMLZcppd2KKkwm9NqKBVSzn+cxzC1KxVW8CpCz+y6YZz42K2pcj8ekQJJdyJ5XX5ZxNBqAFMAopZIVxgJG1IQE3RuyukjurD9rt/kzd3dpqoRAVT17AOXa8iXXZceSHgu41LQLATQCcUPgGvH0lHI+ZHHRum7XChbCBIA/LxWVGOi6KuHmhr/z4gXXNJ1PNXAGYESFgNYZWWTUsOucHI8pS0Se9N/6Lb7v7/1eks3bWEd0u2mP3e+Tmmw4pBy/3eb+en3Nv5N6TKM8FYqp76hGUICaAPLb22S56HRSrovOsZokscgAf24ySeu7QEZ97sUF1yPn+GxKaaDaodtNLPFqFZUy8fhlDxNIIBBF6gKBJuMxk6S1tnrP51b3v4AarSWjEVltyfa1jp+cxICsGGKnID2Bp7b/h2YzNeosvJKv3Bpx7xzzPPTc6NhzTsuIgJSsMgWzHcSQYrOJKh0lc8c1VWoXU+eJeY8va+gVngmpvrSPNxr8XXvm3dNTHBcXpHAS4Giy/kxEhu1b3nueK+colZYtaT5nI5PnyFYrVCcnyD/7jE2v7hEDWDLbl4IsFiHAbbfwdYuBqR6ccwg21cd99BH3GQEd2j9r90ruLdjzwGklvtvl8yylX6+XAol3OxQfPsA3GmRgnYOfTpPi8dUr2raWS477Wi657xgQ7B4f6V9+84YAgwUSutGIioLtFuHujue512O+i5RsVYVssUD14QMZ98GATbvZrXyzifztW1TOwfV6cJsNJe6dDtP4j5xhnxkDH7SW/uxn3L/Pz6lcyDL41SqOD8ysTvCHA3KAc8Q7HTbSZ2dofvYZymaTzbaRFdnNDVyeo/JMQcfhAPfiBcLhgNzquLIokD89oaoquF4P+XaL8vwc+cuX8Msl8i++QJXnBGxnM2TtNtzNDbKvv0Z5eUl1y2xGpvrxkcdYFPyZhwd4AI1+H+XpKQP+TEnnz864z+92PDb7jAzgeLQPH3gv27qQTaeo3r2jP76qGPw6GgFnZzGMzm23wJdfprwFY81dlpHZf/ky2reqP/EngH/z38R35fV9g/4tvGazGeb/8X+cCg75nPb7JMvTKBdJ/LS4qchSIy3EUu8hJlb+Nc0QHwzITmiTkrxTMnlt+jW5avTu6fPF/AyHSeYsNliyOi3iAAvBuk9ajImCYMQgHI+JMZG8Wo2gBT7F5lHhYCpIVFSpKVdBLlZD30FqAIXw6HelJKg34wIX9vs0Ikc/J/mppKlingSEiCUQo6HCVZuSJNpFkSSExmRGX7ehhJEpvrgA9ntMWy36QdU067313cTkq7HrdpO9QYWSGDyxK5Lkv3nD73Q4pBFQYrl1Tyq8SPdBUfB6KCdAQVnbLSWeApcUFpdlqRAPgYtss0m2VnJtjY3R2Dqx6roPZQ14eEjyThWUkjQ7F1lmSSMzYyOcWChDe+N9ndloHl1XsfX2Gc6k1/LPOWugggEpSlAXaJUZCyJW0nW7qcARiNOw1HRJnLOMjbeaF5NY6rsptM41GtHr7GsyfoAe9XjvOgeMRpheXGCe50StDUjKBNZYweerirJTAybCek0kHojnJhwOZG8C561L5SDWB0BS+SyXceZ7BAOdizOOw3gcsygy75Pd4/Y2ybVrqgrf7SIbj1kQ7Xa8dlnGQkzsclmSYTnaLGCT5UV/qYABk6fGdcLsQaHXIzq/XPL7qyGv3yeSeas5Phwo6VOhKqZe9iEgrTVlmTzlAiPFxhUFcH9Pj2JZRvVE/H0gBQiGwGdCIKkBSGG9pmrCsglikBiQkr/VvEsloWe6LFnM1EMkez1M+31KTsWmCgTW2uYc14vas4KzMz7z8huL/RVwl+ep2dvtnueaSDougEN7iIKnxN6rqZX9Jc957xyPsfGMz5HOoX5O4JmAXSVRSyYui5jWzeEwrfMff8z79rPPuAZpPVouk8poMnm+Ro1GqVFfrVLYq8DWesOu49MxliVBAp3D3S4l/AN8j+k0WdMEpmw2SbW126W9ryz5+7JByOJkeQCh2yVQI+tClqWxnFnG+1I5C6ZGC4MBG5qDzSVfrzE9P0/ZBVJrmKoiGOjqbK1x9Xtc117Aa4+zkzOpMHTf9ftk87UXar8Xgy05uFj1omBzK4WBGnWAnt1mk42o7i/VF5nNQ7f7zJVlDIXTaDTNHY8qoGYzJnsH79MM8UaDoVZSl+hlDbqUK8H7ZH8A4rgr7XWh26XEd7NJcmbtI6BcHtYUYmfhom1O9gjLJRnKly+ZOyLFy90dpc/bLY/DwMy4FgjwEymgvW655Puaxc19/TX3vZ/8hCoBAyK9sebY7fhc1EBCdzxyb6wqTMsS9wqKnc14vwBUDV1fU0G238OPx2z0rGb25+fRUuienghOb7cI6zXC+/dkY9+8IeDkfQR9Mhsth4cHNvFlyabfbAJSWbrFAtnNTZT9BwOpQ7fLkau3t3A23i03tj7I6mTKiGK9hu/3UZ2f01P+9decujAYwE0mBMAtfDMDeE5t3fGHA4/V0z+e5zkVCpLC9/sIV1fAdovcQHx/OACtFjKT+4fjEVmeowSQLxYIeY7MaqXjD37A97++RnZ9Dd9uI+/3yX57D/fVV8iOR1Tn51xvTk8J6j898fkwa2b29MTwuX6fwIEpHtDrwU0mvJamnvOW65F7j+p4RL5YwOc5fFmimEw4Lna7JRhhahp3ekqg6fSUIMTDA7IPH3BydobFzQ18yeT4fL9H9eMfw3U6cPf3rAknE1S/9VvAn/7T+K68vm/Qv4XXbDbD/G/8jfQHYp3rEip5vBeLJE/WRiHGXEipAmwkVRerKf+m+Tmir11FgRobIPmn1fDI4yb5pzZ4NeOSPouVVwGsTVDvKcBAvlAlkKpYErMvJlhoq5p/HY8KMjWuYmMt4CYytPL2qeGV17mqUjMrBkGqBSBJ4yWhFOILJPDk4YH/r8LY+2RTEHMiNkWWATWuZZkYULEcksM/PqbjkPRT90RVxXE601evMJdaQWPaNJpHFgOpHGqStmeeMXk+64WK92yoy5Kb4uUlj/PpKY3YGo1435hEOTaaYhw1WmQ8TmDNfk+7ggKgut0kh5VEH0hjpo7HpDjQPSHvq76finVJeCWdFQNicinnPRnudptNi72Hy7I0hqXTSUFZAFF1YyQk4VbKvJPMFwxK8Sb1lzfXaTSN92SYraB1dh2CZ6iJ5O+oKjbX3sewQ6WJe4CAgoChVgu4uiJSbNfeA8hU0AvMUFbFyQnCyUlkYk+HQ9xZEF5kPeus8HZLFt/ufyUWx0bf5JYw+XksggW0ZRnf43hMYAsQVTFB4NXJCVUKh0NMZsX1dbrHBKj1+2wWxmM237b2KZE/Fk6Hw3MmqygYftNqEUSx5z48PTHcxuw5Tox3r0flhEAlSdDVRKoR1Xeph3Mdj4nt0hokdlNyfP2dmnWdL7sf8PQUg/EEOkR5aghpLSuK5HEUiKX1zkDDOC9WvyN2WSz9bhdliAJvwnTKUCWtiWrma8/ntNfD3MCDZ2u8VE16VrXH6DxpnRFTpP1IPls1196zYby7S6PQZBHS+qnGS5/p/fOwSTUMAg/1j9RYo9FzsFIgrM6T1sB6wKZYeD0H8rSLoby85D19fc1j1X6sptjYHfR6aRpJv0+WX2qh+TyxhVIMTad8Xz1vwHOrj9ZiASOPj6k5FJgqYKjuU6/L3xUQqBnyqiO0fo/HMck7Kq7KMgWzFUUCweTvF3Bv0x5OncP8w4ekxNN9WFXJljMYUO1k61AI4TlgWQdfjcwI+z2Zfr2XpLZ5Tl+2wm21tgEJ9BiPKe1VU1+3KtleHiwsLKbEm6rKAbExD2VJ5trk53Hax5GBmWG34x5g97iTgkz3iJEqwSTp8Tjt+wfdl1UVveY6Vl8UyDQ9pNVKUx4EAti94ur3uEDbq6soV3YPD2z0LYQr2vwArrv6HVvX3IF5FQorDMcj1xJlQKxWzGz4+GMmoqtG1d6/28V91Bug6pRr0mwyF+ZgQbhPT7ThGXDpvv46AbzHI9zFBdc8gM/hYAB3fc2930YtZo+PCE9PHE03mcBdXqLKMo4jW68JKBnRk3/xBfzjI0d6DQaoioKTPKzucqasykYj+OORTbr3VBB8+SUT0S8u2Kwa4REGA4aaNRoEcbZbjjEsCuZaeA83HCI7PUXVbgOLBYrDAZXVvK7dZuNvsm9fFCiqCocf/xh4/577m4XshhAQbm8ZTNdooDockO928GdnrH/mc9ocqgrVbodiu42hf+HkhPkA3qP47DOE/Z4j+M7OOAv96YlKVlPiZOfncOMxws0NQ/emU+DxEeHDB855t+R4PY/5dotyMiFolWXpupl6KguBCg6zBqLTQRiNEO7vCT6Zii5vtXCczZC1WvBmlXVXVwSbOh1Mdzvcb7ckRtpthN/4DQI/t7ec+nB2Br/fw3/yCfBv/Bv4rry+b9C/hddkMsHj//g/coOU9EzyO/mSVSyoIVGRs1ikwkYyPhWG7XaSXIsJ0CYspFwSQ0nz1LSKTSiK5P1T4Sbpq5pybeYq9NXwyFOp5kzIuTzLNUkLTk8TK1KXfuV5CuPR99L7SQI4GCT2X+djOk2bdgjPAmCi1FKSRLGyQDpugQliKtSwi4GwxSU2vkL5tZGpMJY0dbXid5TKQSh7WbIIEuP0+MifOzlJLJAYOsnTjQ0fe49HqRsmk3TNVMiqMJbHfjxOc4Al0x4MEhigJlgNsORlj4887o8+SiDK9XUqzCeTBI4A/HvNuHcupRoL3JH0XcyMGn0BGwJilHwtAEfSRUl+jeGNYJa85FIPmHw62HE4hfVUVfSrh/o9rQYnhBhwEw4HbsomeY++XJv5C5Mw4/aWKDfM6312Ftkft93GVNkQAj17Nmc3tFosDkJgEZdbsnqes9Br2KigDx8YunI4wCss6uyMTIpzqQk0ljfofFrzGuycuJsbnDSbeLy5YROn5zvLCEYIZNDLCiHfalFOLem29+l86Posl5R6a4awgKDZjInOwyH9aYcDAYz7+xR+Zc9CGA7p7x6NyIoYKxuD9aqK50zAhn5XTNN4TOCj2UzjcTYbfv9OJ82otePzh0McffTMMgQ8B+ZCSGoU+87eGC7X7bJQlBS0/juScw+HvK5lyftS967On55tgZF6L+BZuFvodpnsbkxO2O14vqUwEhgpMKUeFFfLRwh5zveRLFnrjxXgodfj+wJ8X1MsjRsNPGpGeMPGVemcyHIjsFfNlPYP/UyvRwa5qpLMWiCkzpka/KsrHtPl5fMRjWr8dc30PepBkloXpGASoCX2XiCjWHepzsRUas1VUyQgqB4sp7wT7VfylS8W/K7aL7RXADzW2Yw/c33N9335MgGwlmocFUNSFKiR1vmRjUdrun727i6poY7HNKtd94eaXlnA6koHA62wWqX9X+t7twt/esp7XuFtthaF8ZigV91aU1MGjV+/xqOug0Bc3R9q+KWEazZpc3GOwOTRQuWUTaC6oPbceJMcR2ClKJgQPh5zprmsNNqTJF33Pk4wiSM+DegJec71wljq0GhwrTDFWXCWbaJmvqris6CANxcC5e5SgFiT6btdAolaK6SaMbDKC8DTa70mSCAmvt/nXiAfbrfLptl7HnMrTVgIBvxG7/RmQxbx5Ut+n8AJJ9l8jmo6RbZe871kP6wBoUHX0LmUcyMQSjXmF19w/NtPfhJr02Ay+AhuKT1dSlDt0yFQam3N/PjFCzzqWTseGVBma5Xr98luK0TQJiRkj4/wT0/RxuOurhDs3shOTxkYt91yvGYIBDE6He4XV1fcn05OaBswUKUw73p1e8vxco1GZH2dAfH46isqIno9ZI+PyHY7eFkrrJF3WvcvLpAtFghffcWck34f7sULeuMfH2P+DFqtZ3uLz3Nk9uz7Tz5B/vu/jyrnHHjX73MCy3odx8p6A0TcmzcMxttuo/otKjLtWfBv3iCbTBAeHjhCTSDW5SXv87dvCTqMRjyHFxdAu43is8/gTWmQff01wmrFQDZ7nh0Qc4bC6SlBA6u1sjyP6jc4h/D0hCIEVPs9rYEiRBqNCMT58RhuMIA3ADBfr4F37zhjPc/hFguMOh08LZdc087PWZsslwRE7ftmzqH87d8G/pV/Bd+V1/cN+rf0yv67/44LnCR483mSnsnvLWm5GlaNWhHjI+S69tBFCZgCtORvlr8dSM2TQsiAxDToulthF6X1apatgQGQmjUVONpQ2u2U1C25KpCkoprRnucpsEzyMvnXgZToLAZdctmnp9REq9HWqDP5GlX4qbhTOFxN0gXnYigHgCR7lFRbjLRYprpk0LnnklddNzXCWpglCTs/T4FwKg5VaKrgUnM7GqVrI7melBICPASyyNuuTV9FqxiLbpefrUJJx6l7S0W5jiPL0ib95ZcprK8+bsfSzuOosTqLpVT83Y6fq/F5KqQeHtik3d0lhk2jpWRP0GgqvVTwSm1Rtw/Ioy5GvGAiLwAWeSFEH1YEnI6cGY39nvOeJSc2D5Nvtfi9dJ0BIvTGJIdaZoAC3GKCbpYxsEbFozVSwTluXEWRRr7B5Ij7PfD0xOAb71nsWLJ1ZrNln/mI7fNDs5kk0+ZVw4cPZHfsXIaiYBFpku6gwtjOnxMY1LE579Z4CDSI99tmA9ze8vtuNilkzM5VmE7Z5FkzHUzC7D58SHJlASVSQIzHBAKsYfJAnDMcGo3EdO33VAwAMZfA5zm9gvM5Z6RK1jkcJgbVmhJvPudMTJSaNT2HQLq3Zfex6x46HZ4HMal69tSQdrsIsxkZFxWz9/dRChxA24E360QGpHOhICcBZca8hGaTPv56qrWeL4U8aY2yxj2uNfou+o5iVHVsQGKO9d9q0oC0JghsMcAhwNj7+tQO7QVqotSoaz/SuhhCHKOEy0u+59NTej60V0gBVlXAz37G95fKSOerDmo4x9+VtUnWHt2X+s4KI223+TnDYcolqQN1rVYCALRnCgBQk6frVU+nV+DbZJIYZyCB7LpGktmWJWXu2y3Ph5LX9/tUA0gtoDwQqb4EbugYbm+jNztasmQTsVnoURWiPV2At2aqa966AB7ZjYbD1MTPZnwWFgteS6lQJhPeH1pLdG/oPtSz7lwCEHR9dK6kErJ7PDSbyaoh1ZxALAHoddm19g0BEdZQxOkL+l01+AbcCPyK0z6s8fOtFkcWmhpLtppMAHunEwM+tU6GwyFOqwh5zvFYWrP0nFjjr3U3AhEF/d1OjanAVwMXfLfLfcAatRA4YjJUFQLAZk9NXZbFQNQAwF1dcU88PaWk3ewl7nAgOPrwwO/Q7bJxlIpBQPRqxefEJP9utaJcvrDRdD//OcHpV6+i4sAtFnGEqWwPweTooSy5Ltp3dXd3ZFTLkmPYTEHobm8JGHrzqF9ccJ/YbLjXnJ1Fm4x7fOQ+uNsBb99SOafEcatbg5RgoxHP99u3cIsFnHMEocw2FBYL5NstqvWaPv2TE+4bdl9iNEJ2cwNcXcGfn/M7LZcoAJQnJ3AhkMXtdJA9PcF1uzhMJsg+/xxhuUQ2HlN9N5shsykfMT2/10PYbGg/szra7XaofvAD7oXmxS57Pd57t7dRZeLKEtligeN4DHd+zlT6RgON1QoVwCY+y+BDQOh0GAQHIFxdIXt44LNtY/Dy21uUHz4whO78HO7sDOHFC7i7OzbkZ2cEeN6+RbbZoJxMkB8OHL222/GztcZ2OrTFlSUb88mEqfu7He8LA62dTdHIzAbkj0eeb6tvw8uXTMc/HJB//TXXB6sLlN3jf/ADPos3N1wjLi9JlgDImk2E1QrVJ58Af+Ev4Lvy+r5B/xZeJycnePq7f/d5kSS/oxhuSZfH4zTjW02XvIUqgrShbrdJbllvtsQGK4xLI83EhnvPTV0FudhoFW7mtYwMOJAYAhUpYvrVrCsoR6PU7u8TyzoYJBmjMV6YzThSTOxcs8mfEUBh3px4PiQt1HcWK3t7mwpaHYtY+zqzMx7zO6jRbbVSAy/JVwiJ+bdFFXmeml0gNX5ifAViaGSSzoXQ/PE4gQK6nuYVxmaTmB+xLmJMjkeihJLV53nKGdD3ErghhkdFu+ayn50lgEd/JqZdCfaSyG82PIbRiDOBV6tU8Em9YCxqDJ4S4yO7xbt3qTC/uEhedrE5NzfJh//yJc+LmkEV7PUQJDG9arR0rqsq2TaKghI6gTxWtLmiIItg4JKzAgvy2jUaZCftugdrwjIrysNgEMPk4ncvCjIMeR7D5ySDhAJ55AerWyF2Oza5Kuqc46Y9GLAIhBV3xyNZESli2ilhPjOWI9zeJtmyGgM1M/Z8jk5P8VhLXdf7Be/ZWKopldxSighrgmJgmxL6Ox0y13o+LWRQo29iw1NVCcRpNHg/G1gTBJRY0aYCKFMKvL6HgZiaQx+Wy+TH7HZZZOo5rc1SjpJmvY/YKzGROlf6HSuIfK9HgKPRYCib1EP296HTYeEnufp2y/tYz7/Ji7392zUa6fi01muNabXYuBvwmllzH89fo8HvJ9ZO16lu85HlJQSCYf3+c8VJXcWkc3k48HpqPZ/PE3CRZSxUu124ZhOj2QxPkkFr7dD3lE1FwU8CMLUPSHUkFs25tFep+Vwun2dViEkS8Pr551xDtPZoXyuKtDdo1KVUSLK7yIYh0FVJ7QIEDWCJthsBNgIB8pzndLVKIzMlH9eeooZXYKgaf4E9WvdNghz39bMz/qO56YMBm3UBArtdOp+TCf8ZDJ4n2QssOB55D2ZZaobXa/7Z1RWP68WLlJCv49nvEwheVWlEqffPgxn7fa7PplryJyfMdNDIT9nHrLkKVYVxUeDp5ibVDdojlIVQy0OI51Dgo12z0O/z3gciKxzX3mbz+cQT7cVqbE0p583HnBmQFwHvVovMsvd8pk12H6X7VUWZv4D4bjcFsxkb62SBMHBU9ilnn+EBMoYwcEv1gdVevt/nel+30RiQ4rZbSoy9Z8Pb6VDBVJfKC6C1IM8IQNv9nl1fo7q8TLPIq4r3sSwGiwUbGqlKgCTXNzA/DAYESQTuW7PuvvySe+RPfhIDFkOjwWZMz5JqRKtF5EFXHkC226HSumL3z2g4xNP/+X/yWuu8n5/zO4bAZ3U2I0s+n3PPPTkhqzuf0x8+nXKcmPfIsozp53Wl1BdfsDm0BHKX56hqowcLUw+F0QhusUBldWEYjZD9/Oc8zycn/P6WA+BPThD2e7LBzhFkPznhMf/858g6HeYpnJ/zfF5fM+TOQChnQFOw6xe8RxYCyt/+beRffgm3WKDMcwLQth65LCNIczzSzvXxx8jtfvHNJtPk8xzZfo8qy9DcbuEvLlC9fMn74OqKo9cmE/hXrzgJ5fPPkd3doer3gfNzuIsL+r5/9jOOTvvhD5kQf32NRp7jOBrR7z0YIHt8RH44oJxOY90SypL/znNgOkWx2aDabLjHbrdU2TmHqqqATgfZ+/dku09OULbbzJ05OYnAd3Z/j6phGTx6DkYjDP+FfwHLqyuEx0cec6PBe6vgWNXs7g7ee45Z+96D/u28visN+mw2w/x3fzelYQNJ7hRC8gjbuIcoC5akV/4okzbFwlojWlQcy/slSVA9XXo0YnMqD5wKWqHVYifEaOilwlYLqwpGIPp5Y0CZQIPtNiLt2G6TXDrL2Lg5l5q1omAxMB6nYkkMrZgHS07F2VmUG0ffa7fLQkcFmcADNXdiRsUq6pw+PSWPvhhm5xLrryLCGDyYbCrK+rTJqiiuM3E6j5ISiq2xRPMoowWSxFu+3KqKo5ymRcF51gJp8jwpBsTmq9FSEafvoDFyAD93Mknp7IdDsh2oeRdAsV4ndcVux2snQEQFpTbvOquu+3I04rWRx13AQz14az7ndX144O++eZMCkXR+BaDoWTFGODZfZRnv0zCbsQmshwKZvEqNg7emxYkpVcMORMkgOp3UnBoQE1otbp66ZpI4drv0XVnD7uWtlLS9qvg7AN+3KBBUoIlFORyS90+Nku4H80FiPoe3cX/O2MEoRTweY+ARvKUkh4DT0Qh3FoqXyWsoBYc1amGziSqA2NjoPHc6CBbUp5E/brViQ64GCUhyYAXBnZ1RmmbydLffI2w2ZEy6XQIeqxXloGK9rVEPhwPnEltooTNFjM8Y9BfHBNmxBhuDFtPT1YDqmFS863PyPDahoSwJzCwWBGAaDRbZUtTMZklC+vCQLBtm+QgtphfHNSPL0khGrdONBu/fXo+hd1nGAJ2NJdsD/DONC5Ns+3jkc6E1X/eQvU8cL6Y1oyzTuqNAnapiAWdNUfTdy9fZ78MJSBVot9vRg+4c5tfX6fo2Gmm9q6t3nEuqLDWhyihRY69/ay08HtMM9DrYp+8kS02jwTX+6orfU3J5Mc3dLs+Rck0USmny/ci8q9kSG9nvJ+m8gU4xyFRAqBprNZf39ykcru6PbjSST7/V4t6kwEmx7WqMxSbvdgQVxAbazGdcXqb7t7aGoN9PigLdUzo/As4FguuYJC9+946/M5vx/OmeESu8WqVjksS+DvIoX0XfK8/jeKv4u9aoh1YLp2dnuLu743Oq9xAQppGF9TVcKja9j+5FU1hoHni0k+n5k7Kk26XKSM+8Gjxdv5MTjpnabJLCS+PkVDNJkWXKqBhAN5nEtPeQ5zyeRoNSXLOYySscsiwGiIrxDwZEuDxn06h1wewSCu+MzbrtH1ktRyjYd9eaHqwpdtpzrXEPjQYyszP5ly8JZhoooFncWK9pIWo2kzpDjXTdxiFrhQWBuVaLYMMf/EEKPrQ91e92PLc679ttBCpQlsx9kQR9uUwKo5MTzhi3+nUKYH53x2OdzYDxmP70dpv1q60F7vaWSgvnkP30p9xT8pxp5d5S7e0YgmX/OMt8cPs9A9wM8HaHA5v9suTz0+9zr3aOYL9lbbivviJABaCxWMDv95R/WwJ8tBZVFY91Pmdw2mhEVcbLlwi3t/CNBnIbSenbbYZ7Wr+VG8jjLy4Qzs6Q/cN/SIVft8tjubmhDQSmEHx8RGg2KVdfLuG9p6zdyAZ/OBCEcQ746CNk7Taqpydk797x2X31CuHsDH69RvHVVwTC2234V6+A168Rjkc0f//3Ufb78OMxGr/4BY7mdc/ynFNdOh3g5gZVUSAfjVh/7Pe07QGo+n3aMkytmFnmTTg9pYqx1UJuIGOokwAvX/J4qgrZ+/eUyQebXACSLHj5EtXJCaabDR7Wa47P0x5pwEd4/575N3mO6sc/Bv7sn8V35fV9g/4tvGazGeZ/+2+nACxtsgpQ0z8Ab1T5N+/vuVioMANSE6dmUyE8d3eJLRYzLmmysXWxuClLNshqiBuNtDlrsxcLr/dUsSWpWx2llacbSBtts8ljUiGkwkFzkPt9JuQ+PTHB/ukpSasFHmhGdgg83vk8JeEOBs89/Woq9edAYl1NihW9/iqqRqMUelMvElTMCDEXEDKZ8Bjb7ZRULX+dNiT9t86jmHwxTpJTitlZr1NQnDZMk5NOez3Mdd3UvNabcbG3YnQExkhyqgA3gRF1+aSadcn+dZxqaPR+Ul2oGBU702rxz9QISRGiokfFloAYNXJiV8VMX1/zH9kfBNRYwxCbfHkXZcEQUwPQKyw5uveUQ9m1DyrcW67WrF0AAQAASURBVC02jWqQnePGYkWPRqeFTocjxY4WxGVIvssyFjieoXBot+n/UmG227HBbDTY/BUFvIACoeRV9Qxl1rUMgwH/LsvoAZM/1WbU6pp6ULqFTofSP3mea8+dzzLMWi3M1TAKVBKTI/+iNXLROqDvbuOjssMhZWDUZ7jrnh4Oeb3NB+93OwbGHQ4sdiWzNfWE0/oiMCTP03ldLFJxXJZMa5aaR81Uuw1vBZrT8ySQTOuRJN1i65SRIVbr6YkseaeT1oROh0nzkhEuFnx/gRF5TsmpNeTBGPKw2aR56mK3RqM4W13zkZ2Yfj2TUjM0m2TZ6g25Rl7Vcihi6GOrxcJO4FGzCZyepkwE5+ixFFupIlyA3WTC4lRAmtbjmhUmtNs4HQww17nVGrBcJvBC88JV0AtIXS55r4jtFCMuRllrhLyRAgjFMoeQskI0scKUGri6Sl5igS+15yCOfZR6THtaHUjWeuN92nelNlCegzVDMdE7hNS8ChR2LjHydWDh4SFZzSzUKgJjKiDF7D888D3Oz/mZGhundVPAsa5NowH86Ef8bnqmtD93OnGcJJQdIAXFfk81lALrNLmj2037iX5PIPjJCY9Vli010JeXbPZ1nqUIM+vY9Ac/wN1ulwAwPYcCZQW69vvJE68mWc+QslOkyFJDVdmYNjG9uq6WoxLyPAFQ2h9074/HfH6zLOVh6F6W0qVmYYJzSXHSaJDxE3DS7zNQ63BIUyIkvbd/R9ATIAgLsumRXRcAfDxy4kS/z8b//h5+OGSTo3vPWOrQtHFdBuzGiRVliez9e/q02202wnYvuEaDTe58nq6ZMhCk1JISRqCH9n6d/+truOtr+J/8JE0labeRzedprrzVtPLzB9tT4gQSU+o57xHOzwk0qHne7zEpS8yPR7jLy5iNEgYDsqj7PfD2LYHNbhfu9hb4+us4SSXaIIdD5KsVStuXnXP0ixuYXU2n3JOtbnObDcJyyft0NEL2+IiqwTnm/vSUYWTLJVn54xFusUDebKLqdpE1GnFuPQ4H5HmOQ6+H7N07Nq+tFtxoxMbz/h45ADw9oep2OSfcACTfaMBXFZrHI46/8Rt8ft++5Zz48TjluOQ58rLkcazXqM7OKLufzxGaTeSrFcPwVAeUJarhEPjBD1A8PCA8PSG/uSEo9Po1rQ+ffYby4QGNRgNVv4/wox/R0vL558jevkX4zd9EuL+Hu7pCJh/+fg8/mSDbbuE2Gz4HrRafd1kInaNs3nv+vpQtmYUZqhd5945AvCks3XhMcGK95v78/n2chuCBWNv5N294j93eYvrmDeYmpxeYpFrenZzAh4D8/h7HH/4Q+Pf//X98k/Zr8vq1btCdc/82gP8vgBzA/y+E8A/+UT//XWnQsywD/sE/SBtH3eetkCFJ6LTJWPMQEXzvk6ysvgGrmZIk7uYmNTZCRFXQqgi4vEyFzvU1N1ItYCqKdAyG3MbNSPJ3NYXyt9qGFkd3qXGXh1gFlnmicHub3uMHP+Cf393x+CU1bLVSOq4KB5PqPJPOi11TY97v8+f1va1hisi5mGM1J0onVtMtOaHeu9NJBd39Pc/JxQW/X735Kcv0bxWZ9WZBBYZkYQp3U7Gg8y+5OpDYqX6fBZLC+4B0v4jNE6suObwKWeUT3N3x+FVAy3cpVYQ1GOh2UyGkVFY13AIQdH7Oz1OzX/faq4kT2CP/5GaTgBQxaVXFv/vqq3SPvnqV2Mm6fFSgTU0tolFVcI5+uUYjMTCWJAsxCMY0B8eAn2DPU9hs+JwuFrGRRs45185k2l6MwG7HTUmjooxVCACR5DrYYqyVNjABQEHsiz0Lbr2Gt80PvV6aiS4Z6HKZmBlJkzsdFn5iWWxTi9dHTJ7OVx1QMotEsJBJd7CEdIUWHg5kAcSKDodMdG4yrdjd3yfJqDXAmQrA9ZrMkWwhJlFWkqxTQ2DPjh+NmFAfQmRkQghkcLIsybNVwNcl4OadjIFO1uAGY6xcTU7v8jwVn80mPZjbLf2eNzdpdJYksb0eZa16vk1y6wF657pdei1r49M0+i2u88aIodHgdymKBCyKURRAp5wNA3oQQpyPq2bRt1o8L+025YECF6XCEBAgMEw2mMMhZV/omWu10ialAk/7hdafLEv3kZpTrenyk2cZP0+NuuTSWvPVVAqg0R4nsEwBovVxn2qYgdRsf/iQ1GW93vO8Eu8ToCSmv9/nPwKeBajoWoo11vlVaCuQ1ANAUg+cnfEYr6+TxF0/J2BUlo1ul6GbAo7q0v9+P85qjvPNFf4m9ZsCP2VLuL7m53z8cboGNbArqjDUVGtflkJAe2u7zfOtUD7vU4Ou4Lcs43cF0v4m//jJCa1p8uI3m/w5NYLyoIshr4O9Ao+seXRSGUiZp7pG49oEJnU6sVFHVfE5qgF6cX2TAqos09x13XO6FxqNFLAn6yCQJPfjcdobqopNbAhkflW3ae2QTaUsYxZJaDYRsowNvDVyzggQzVQHTMIvsKooUq0h1QHAGeVlScbXQLUAsEm+u+Na9OoVmXidDz3XWcZrYuq3YP5mKZOCjbFCk/Pa3XrNID6pgj7/nGDFq1fc/wQw6z3ts9xmQxDcSAm3WHBPPR4JGG63bFYvL7kvb7coHh5Q2b0WZjMSBOs1P6fbpQT/7o4qO1MwuN//fYIf3S7ccAhvKrY8z+HNgw6A5/PtWwIFrTSeKwD0PG828KsVCu+Z/m3NZtZuswH/7DMyxXnOPcRC1zJNszGgyK/XPBaAoMHZGbI8RzUewx0OyLMM/v4eHkDRalF+LrVcs8lAt8EA1ccfo/j0UwLcWYZyPEZ+dcXAv+0W3jkEXdcf/AAN71EuFnGue2g06GHPc2TrNaqPPuLaYdOgwtMTslevmPBeFCh+/nNUVYXscED1+jXH4zUaCP/b/8Z789UrhE8/Rb7fIz8ecWi1OBZtPKakvapQ2ShEZR/k9nz783MUj4847na8/zcb+PEYmdnsQpbRA2/PftVuc43kAwE8PiK/uqKk/XAgwZFlVN69eIH86Ynj7H74Q3rwl0tU4zFy7+Gvr+FarUi6ZLe3CNMpqt/8TeDf+rd+uSn7NX392jbozrkcwM8A/DkAbwH8/wH8tRDC7/9hv/NdadD7/T42/9P/9Fz6pSZX7Kg2XAXJqSHabBKqfn3NDU9Iu6R4dX+ZQsL2exYAKuZV1EqiWhT8uYsLHqSKVG2yaj7lST874yIhOZSQeqHS8tyKudOYNRVhkuVtt2nMlnxtd3epkH3zhhv03V3yRUvaraJTEu6rq+eJ8gD///o6Na5KVddGLWCiHjqm5k8btgKZpGpQoI2+o+Sa8lKL8ZckXsi0WArJ7hSI1unw7+pBd0oklgy00UB3MMBGKd66dmJpWq0EpIi5rrMDauRVOOuzX75MY46ElsuTJpm9c0mafjym4kznWp5QARLNJq+LpLJqzLxPxae+tzHD8f0EFEieqbnBasZev042iroHX43nyQn93tbcZZL2CnSSH7LBsB2FSYXtltLDzYbSePv7TIFAJruWFxpFQT9YnjMwx+71ADDMprCROGJ+1ZCrgDamKBij6sReHg5kBFqt6JGP7JlYR8m9DbGOY3XsGoQ6Q+0cuufn2FQVwn6PsNuRDRd6PZtxozQ7Q6bnTMFFKnaVKm1sc9Cc89o9EPp9ZIcDwmrFYltgTmB4Htptfs+6xFeqDI1wFLCz3dLP326nOcm3t4lRNtYpPpMCDLvdeK4EUIRWi421GN5OJzV+Wcb1YbVKjUC7TX+oFfDBiqKsLJkCr9+1+0hrn7eG2Kkpl+rCvKWhKBLrpzVD4xINtIsBVZ0O2TadIykdul025K0WgRzNhtaaq0as2yWAYvN1Y+6DVFRaf+RdFVusc+09UBToeo/Nfp/AVV3X/T6t/ZJ06hnf71NTpnDJwyGBkfp7NUNiknRcWts0nk/KCYHXaurF8l1fJ3uNvr9ACdkNnp7Sej2dJuWYlDnaK+qNoBrcunJBDaQ9d/HeDYHZLlJ41IHJENL91Wxynx0O0/6p/VrXaj5PnnCBPfVMGu01zqURi2/ecH0WaCo/M5CsEvqe35SUaxzacMjvonAtMfa6X+UBFiAjZdN6zT+7uIgTSrqnp9ho7NnxmMaaSvknq5xzqZkE2Dg2GjHjIzbqWcb7TgGxAk86HTa9sqHpeotQKIoUgCkAR9Ytra/9PiXsslmoLtB9CDBlvtvls19V8fvHRHADtILZgNx2y6YCRsiADXamJlzXKMu4ztatNtaUa9SlK2y2uqkA4n8bU5+9fUu102yG7P6eliJTLXhrtt12S0XPaJSeOSBm3IQ8T1M6VGOalcC9e4dwcYFsPGazJEugnlsDbbLdLoaehhC4NnU69AWbCsFPp3HcrHt85Fx21YgXF+j0etis12ToVSd89hnrwpMTuM0G+WefMQhWaeimsgqLBVyjQeVaVcFvNnBXV8jLEqXAyWYT+XKJar1GtliwqTT1W8N7lEXBCQXHIzJrjHWfZ8cj12gbZRfsGco2G+aJaCzbdMq6wGrxEALD+CT9DiEGAoYQ4MsyTnXIPv2U+QOjEUe5PT6y0dzvyZxb0Fx49YrWL63Hmw1tc97TitHtIvzwhwQVHh+R3dyw8b68RHjxglNiPnyI8nf/k58g/+gjhKsruJ/9DNVHH8FVFWe/G6HgCo779M4xkb7R4HUyNSKKgsz+eMz547e3BA7Wa9ZOvR7P2WCA/P4e4eGB1y/PufZNp2TSAfrjdztUwabgFAzXzcZjKgKur5GfnKC6uEB2d4f2cIhdniM8PlI9MRgwf0CTm4ZDFJsNDn/6TwP/+r+O78rr17lB/9MA/j8hhD9v//93ASCE8Pf/sN/5rjTos9kM87/zd3hTyh8tWZcKKRVMWZaaxSzj4iZJomSHDw9cMCU3BZ7L9rSJj8fcfD98SMVxvcAVm9LrEZkfjRLTqWZTbMTdHT9fs17FgHU6/L35PI3UEUMgr3OdhVLRp+JMTeDTUwqh8Z4MarOZUtzFSIqlV2Gx3fLYJFWryxvVpNbldSrKdH4V+iYWS4WQfN5aQHRtxBzrXKrIH414PEBi7VW81hvcPE+BRWqmJUEXc2H3wLTTwVxSTjEbahhlE1C2gGSPCjnS30uib4VLZJI++ojHJOWByWhxcZH8ftttshMMhwmwEdugc6Dib7tNVoOqeu4L1n2gZrzVSmF6YjOazRRYqObCpHA4O3s2TzeydQros2cpSC0heXPTRq3Zz2ZidIxx9HkeJemuqjj7VZL4fp+brD0zrp5xADxn2+TpE5tlrH/YMfE9mE3CHY9syJscuZaZPz2yV4EJw6HTQZA0U02CClkxgE9PLAbEBNrzP3UO8/t7nuuLi+hDDpsNN+/9PqVeKy/BUtYhyZqe96oi8FAHwBToJ8BIx6gG/XjkxmuNgTMParBGOTLoarpaLZ4rS9mNPuHadYqKIBWLaqTkSxUAVFNsBGM1nZKy5/MIYgXzdDtZhI5HerXVONbk8bHIzTI28Cr+JQVXA9ftRq9qXK/NhxcDvvR9BRoY0CDpvMDAAFDmuNnw/WSF0YxsWWQst8AZQBuMXYnWE/MYxvVfcvh6EFwInBLQaOC0KDCXEubpKQYcxlBGXddv2qy0PunZ1uxuqTaentJ3EBipLIvDIa1tapjH49hMPFOX1Rt1jbMTeLfbJYuS8k/UWGhtlF1GLL+AHjXaerbV/NUT0YG0Fvd6CcD66qu0hgkA0ffX/pTnyX8uVYLuDc1tv75OSiZ5yufztI8K0NK1ORy4f755k0L0pLjRf+u41QDX9yCp7cwCEWuNskzTBBQ2qZwRgRxV9UwBMf3RjzC3IFJfVclfbaxoBPS1dul4dQ8IyLTCP94PamAFNEnhZcV/ZLVl25KdpdViEypSoN6oi3UXGHo88vrpOa7bqPR8ScklgKfT4Vx3IKqdfLfL8C+zqoQQOIbNbFaZvqvUNGJ2bc2H91yXZAuxWsntdlw7VyuGX718mQBZa/7jtJG7O+5VgwFZT1sHfLOJTD5wPaMiD1QXXV2xEX35Ek57lHPI7u/ZlD0+ErC2+iaOnNtuo5Iqs3FlIc9Zw6n2WyzY/N/fsyE+OQEOB0ymU9x7TzDhcED+s5+RNR6PkX3xBe1egwFCizO0Xb9PD/h8HhPC4RxnhS+XyLIM1atXZMGPRwIFDw/w8kg3m8gXC1SmnnOnpwg3NygeH1G1Ws9yDcJoxD344YFr+26HwjkcswzZ7S2bagNTskaDI9KenpBvNjgOBshWK4QQKEV3Dn6/R9Fq4fDJJ8ByicaHD6hKzibHckl5O8Dxbbsd8qoCXr3iTPP5HL7bBW5vkbfb3F+9hzscUJ2dIXv5klL6x0fk8znB2pcv4btd5F9+STve8YhsMED5J/8ksnYb4fd+jxL5H/wA4cMHMv+LBSpTeoXBgBL35ZIjbHs9XmPbC91+z3O9WsXMk2ChgKHXI7BTFMg++4yKBPt/9+pVer6PnG8e9ns45+BtbchbLVoirOYMH3/Mmei3t1xvmk3M7Zhdvx/HkbpWC1UIyByD6qpPPgH+8l/+J+zc/vm/fp0b9L8C4N8OIfxN+/+/DuD/FUL4f/9hv/OdatD/k/8k+bmVQF5HVg+HlORalzhLFqOm1GS4AFKjrk1Zvj81LIdD8oFfXCTJvPzWajo1aqWquBG/fJlYe8nuJEl+ekroukayKLlbRcXXX6e0dRU3asC0MUg2Ldm5mFw15EK2Ox0WDmKkdV7EPCvtV5Iu+SX192JyJLMX0l4PBFKRWpfxS3beaKRro2JBL0mcm82U/t5okDFpNtP3VBGgokUbtZhBMUHbLa+DsZ3T83N6ifW+mkWv75/niekfj/lz9/cpwR1IScbtdrpvtGmqwFNS6IcPicFQOrGuN8DrIP+hQAeF/wGpgRBzlOepMBMD2mjwfdvtNEbQuXQPPT6msKlao4u7uwRKqYnXPO3NhhuysU/ucIhzncVQBLt3grEsmYAyeeV07IbcAqDXypqaTMWigKL9Pvp/Y+Ogpqc2dqYOBGAwoA+x0UC4vydCr/tf58Se+VBVLD4D5+y6hwc2tgp16vcTEyrgoNFA6PVwenaG+d0dG/LNJsoaYwEq9lrjDqsKmM9joYUsI6Ns91fQRirg0DmyJDoHxyOb+HpuRa/HEDSxiQKl6uyYZL/6HmrQpH4Rq6NshF6PPmwDLkOzyVnfuk/0nC6XzCV4fGThIPCtbhPR+lgH6OyZCtMpGS093zVGKAIHAjbUGNY+O/qO1ZSp4RCQpTVDQTp2bTzAkX0CMJpNnl/JifXsakyX5tJLwq61QGuXPkvfU/8vCbYaNj0LqxWmeY65lD3WCMXvpWuiY9HnCjCQb1QNt8DbdjsBr9prTLIf1URaF/V86fwpHK/e8EkaLTuVSWnjn+may74kRZRkveMxczTEDOv7qonTfqrjUIM/HifQSOdM33E4pPJHqiaBvPXwtocHnp9mkxLzejhsXVmmADytw/La397+slpMYGyvx33QksCjwuib1gc16lq3neO+qfuw3+f9JeWapjvIllW3YQkoXq0wnU4xL8sEggioEFtas2+g2WRBXbcwKCNAgJnsIc7xZ2RtUdaB1G+2H3mA66kANu3l+j271wPA9VC2LClFBMjLNlOzJ0Wgzu7XcDjQMyzFYr/PZs+aRd/pUOlkHmhfVbGp8d0uwQtdX62XWUY1jbHRod1O8vpGA5kFJobZLK0P3nM/K5lp4h4e2KRPJvEaO7NphNrYNt9scnZ8o8EAs+2WwVpm3YsBcccjAy1V39h5C+02jxOgB9hqqfz+nnLzkxOE83PuyXaeM8vZ8K9fpzCvTgfTiwvMvSdr/+4dG3fngE8/jZNE4hi7iwvK9IuCTeBuxz3JAhEFCjgDzN1+j/D4GJvJYPY0gD53FAXyhwd4UxRkACpTpzlTmjmzrAWzNjnvkT88oHz5EoX3qIxlzqTMMqDCWUhrkecIxyOq4xGNkxMcXr1C4/PPEeZzhMGA8vrb2zSWTmqwogB+9COyw7ZXFfM5vexZhmq/R95ooHz5Emg2USwW8Pasutev4c/OqJ57945qh7JE9eoVwr/0L7Eh/sUvkFm+hr+9RbHfwz08kK02JU7Ybjm3XXtYq0VVWVXREnByQsBIgNxmw2dcSqDViqqEdpuBbcMhnCYVeY+wWqHx/j3nvNt5g6kTw2RCSXueI3zySZzk4gcDuMUCE+9xX3KUmzOw0g0GtG50u5GM8L/zO8Bf+kv4rry+8w26c+5vAfhbAPDixYs/+b/+r/8rAGBlN/J4PAYA7Pd7LBYLzGYzAID3HvP5HOPxGA1btO7v79Fut9E1GdbSUhFHxpjsdjusViucGjNaVRXu7+9xcnKCwoqt+XyObreLjhUty+USIQQMzROz2+1QliX6/8P/AOz3qDYbPG42GIeA3AIf5tsteocD2uZrXFxdwa1WGBjLu93vsQEwBYBWC+VkgqdOB2MAuRUe8w8f0MsytE0K/rTfIxsMMDDWY/PhA3b7PSaXl8B4jON8jsV6jZNWi4V1nmP+8ID+fo+WSRkfu10Ur16h32wCNzdY39/jkGU4ubgA2m0c3r7Fcr3GZDKBm0wQ1mvcr9cYTKdoNhrAaoWHt2/RbLfRs81otd2i7PUwtoCI/e0tVs5hOh4Dux18VeHBOQyHQzTsIbt/eEC7KNB9/RqoKiwXC/gsw8gapV0IWLdamH7yCTAeo1qt8PjhA0bDIQprsOfbLbohoGMMxNKSJYc2V3vnPdabDaYmU6oAPG63GI/HRDJ7Pczv73mOTaa7uL+HCwGDXg84P8d2u8VmveZ1KgqU3S6eej2Ms4xhIUWB+dMTersd2o0GsFziabFA5j0GVsht/i/2/iTWlqxNz8PeFRG77/c+7e0yb+b/V4GtTAoCCQiQBp6Z8NyWDNgGDI1kaGAS8kCkAIMUBBVLsqABJ4YGBmgbEGBrYk/siQeEIQE2DEGqYrXZ3eZ0++y+3xHLg289seL8lKgq1V+oumYdIJGZ956zz94RK9b63uZ7P0n7otD4cFC2WGiXplo2mxqNx8aGp6mmkrqTiRpBNZ5vt8qyTN00lS4utMlzHe/uNMoy6eJCx/FYq6cnjSVjG08nPT8/q9ftqh4O15n3ql9fq1OrScul1h8/6nw6aTiZSNfXOhwOWn/8qEmwAxbX15qdTuq3WqoFNfd5uVRTUjv0n6+2WxX7vT1PtZr2kjabjSaBIMhbLc2TRIPLS3uemk1N7+/Vdk6tUNSvDgf5el39AIb2P/6ozadPmoR2iHyz0dx7Dbtdu0+Nhl3j7VbNALyWeS7X6dg1Phy0SxJtDwdNrq6kblfnotDi8VHDwUBpIMyms5k63a6aYXze4ulJiXP2PO122p7P2s/nGgdgeSoKLbdbjep1sywniR5PJ/VHIzWCZW7+/KzsdFJXksZjbZzT0XuNwizv4/ms1W6ncb9v82JXKz3PZuoNh6qHQnSWZapvNuoEALPOc50bDQ2bTWm30+Fw0HG3Uy84X4o01XOtpsFopFoAGM93d2qeTmqHUKnV4aCi1dIghF/t12t7FgJAyzcbze/uNPDe7lOea5okal9dqRXaR1ahN7Qfis39eq1NcIHodFJ+OGj+/Kxhs2nPQq2m6XqtTp6raRu0lg1LR+8FFW2X59rudpqE9XRuNrVoNOyZDETl9Kef1CkKu9f7vRZhtmovFKrbWk37zUbjoCKfFgstJY2aTSuqGg1N01TdXk+Ny0t7nj58UJbn6gayYHM+61ivaxTCFI/7vVafP2sc+ki993qez9Vrt1UPlt9Znqve6agT1vXaOXueAll1yHOtz2dNbm6sV2+x0Gy5VL9eVy3sSc/brZ1PIfV7tVjY8xTAy36/18Y5TUIbS+695sulBpKyQERO93s7nwIwWm028mlqz9Nqpf1up81spkloI3Ldrp6KQsOLC6XBIj19eFCn3VYz9CIvdzu5VsuehUZDu9NJ2/3e9gbn7HxarTRMU7tP9bqmjYY6vZ6a4dxcLBZKZjO71+22tv2+9quVxiEr45QkWhaF3afgApg6p26rpUYAnfODjTnqhpTzzWKh4/29RsFafdzvtToe7XwKiurzfK7eaqV6sHjPLi9Vb7XU6XalT5+0Xi51Ph41DPbzQ6dj9ykoqEWea5Zl6l9eqhYI3ufdTs16Xe1Xr6TBQKsfflCxXmsQyJB9kmiTpppMJnaflst4Pl1eSpeXmm63aq/XaoUMilWvJ79aqR/A5j5NtanX7Xy6u7NnstvVsN+3+7Rc2r43HKr5zTdSv6/l1sYu9cZjyTntNhttj0dbL0mi8+mkxdOT7Z0B/E4/frR7PRxaHRFcPr00laZTbe/utM9zjUOhfcoyLZ+fddVuKw9n6/RwUPfVKzXCiNT5aqVstVI3qM6bPNexKDS6uJDyXMf1WqvlUuPXr82+vN3qeTq1fS+0jM02G9XrdbtPtZrWz886Pz1pWK9Ll5c6tNta7/eaXF9bfsZqpdlspn63q1oY3fm8WqlZq8V6b7dTsVhoEMicfa2mzelk59PppLwo7HkajZQFtXg6n6s9Hqt1eSnValrd38vPZup3OtJ4bPd6s7E9q9lU3mho9vmzRr2e0tAyMZ3N1Lm6smdhu9XycJCT1Avuv12eazud2mfZ73W+u9M8TTW6vVUaiLnpdqtOq6VmEDxWd3fSeKze119L+72267XdpxAIeDoetTweNZpMDEx1u5o+PKib52qsVtLtrZZ5rmQ4VLfTkVYrbdZrHedzjUK9fCwKrWczjUI7lj8cNNtu1d3tVA/kxKzdtjqi2ZTWa63v73V+fLQ64tUrHVYrrU8n2/eaTaW9nh7/0T9SL8tUu7qSHh81/+471et1tXs9qSi0ajTkBwN7FsZj7e/utJM02u+l+3vlSaJ5u63BzY2ykLEye3hQM8/Varelw0Gr0ErSGwykqyvtDwdtP37UOJDx+fGo7Xqt9nCoNOzJs+NRrTRVM5Apq5DE3guTiHbHo/adjkahHes8GGg1napfqykNeGAxnarR7ar59ddSlmn5279ttX3Iftk+PupYq2kYBIzTeq3NaKT+z36m5P5earU0//57tZJEjUDgr7ZbuXZb3W++kU4nbe7vdZ7PNRgOpa+/1rHR0Or77zU+nw345rlmf+kvqXt7q/p330nPz5r1+6qfTup4Lz0+ar1cqhiN1A8E32E+174oNAjOmSJNNdvt1C8K1W5v7Xp8/Kg0TdUOAsEqtJP1RiPp40ftVyvtnNNoNLL09Xpdq8VC3WZTWXBHTo9HtfNcretr6XzWKrQY9otCev1a++FQu9/7PY0CoZrf32u5Xmt8eWnp7YuF5kWhZqtl9ynsvzqd1PvmG+lf+pe0+yt/Rdvt1vZfSefzWbPZTOPxWGlwRz49Panb7RoG43xKEvXCJKHtdqv9fq/xeCxJOp1Oms/nmkwmZUvL4+Oj+v2+GoHgmM/nVpcH4XSz2eh4PNr1kHQ8HrVYLHRxcWE9+t7r9vb2Ty1A//9bi3uj0dDp7/29qKTQp4UFMU2NtQ42JuV57OVj7BpKE0oY9kJGUaAS0/eXZcZ8YilGxeB7sO/BolfVF1R6FLtm097PxYW9d1R4+osJoZHibGxU32rPGVbP0L9VWvixlG230ZaN0lC1T9MjjSqDOiBFdb1Ws/fF6DX6q1B2ueahvwsFoOxDw7JdtT42GvG1uV9YPLEKkyfQbkcHA8pQo2HvB5UQdQGLN58XtTtYs2uNhk7cV2yOvDYW+XCIlYoIDgO+d7czZrfZNGdEIE7KtYQdH1XIObvXqJko6M7FIMLNxlQXetX7/djjWbVF4oygR5P3zZrDusz6R/2RokKDSlddN9wPRvCFVgd/PptykSSmNBBmAyNdsTT7o80kJ6wtkYy9zTKzCBeFjeDCfohzIiiJ3vsyTEinUxn+g2vA723MzYugNiy0rDtaPmgn4L4E8OC73Th7l+kH4foVmaX5+nDAJKh+kmoXFzrV66Yw57m9B+Y6O2efs9UyZSYoV4X3dg1wlsBY73am+oegHxKUywTf9dpUDhwDaVqmjReVdgEOMS0WsX86SUx9kWKiufelDdzX66ZO0L6zWpkNc7uVJGPLJbtGFXW3kEwFYR3i0mC9BqueI82a/vjjMdpPg23ey1ST8vvCfuJDqE/ZM4z6KJmFtN83teZ0isGNwcnik0QO1TTcjxfuiXrdbJah2CSoyOHuqTp72DexstOCwb6b57HP/XCIYWBhjykV4KBa1o5HHemRTyygR4dD3Dull24R7P+0TiVJbF/o9WJbBr+P0Z+cY97b2cG8c4IzyVBByURp5Fpxz1FYcThhnSf7gCA3VH5aoFDzmW5xcRHt59NpdJRhF2ev5RqSBUOSNA6bPDeXRlCQXuzxwRlV2uj5/WR1XF9Hhxnn6atXUV2mBiBxnH0YJ0IA0eWZHfpcy9Ys7isKO2ccezPqOmeRZO+Vs4TrV70+AdzWajWdaNlDdeYsDESxpDgRhboFtZqzgGuOzZsUe/bFqluLjADyPEJfNi1LZZAkLTko/1wD7hn3IuxtGgxMmWP/CNevnM3Oe6u4wYqisNnrITen7FUPbUBFs2lp1PSVH4/mfAm1hqfnt2Jpd9Op7fGXl/b9z89RacdhEvZpNxqZcn84lHkqjraLPDelPM+tz536jJZEJtNkIXV+vbZzbbGw75eiSye3bBMpOBEeHw0o1WrWJhn28WS/V7FYyN3fy796pST0Mpd5Gp2ONJ+rdnenU1Bn3efPNtO7VrO9TpK7ubGzNqj/brGQzzJzFIQ9o/jZz8yKHfaZZLOx93Q62eixw0HJamXz0vt9ufVa6YcPOqepCTink87brZKrKxWdjrLdTnnYLx219/ksNxrZn+e5ObcGA7kff7SgvEbDUsfrdZtzvt2WKfH+zRtpNlPy4YOU58ovL5XMZjZG7RjS2kMt4t6/t/cerPbJw4Py0JJAS4EuLspgveLzZyV5rmQ8Vh5II/fpk73uIYyF+xf+BVuHP/4oea+k17Pedu9VPDwoSxLlYYa7z3ObutLtKm027Xc7Z7PLi0IajczSHmpev1hYCwetjcGyLufsWen1rCUDl3BR2JqhXnZOrlZTLUl0Gg6VrNfK63Ulr1/bOT6bWZAgNvrUxhtmQexUp2Ouh1BXu4cHc0e8eSOfZSq++kr6l/9lfSlff5oV9EwWEvffl/RRFhL3r3jv/6v/pp/5UgD65eWlpqS409uNfQr7MIdTv28LHasglkKseNi0ATIchAAlXpO+LYJiRqM42zUJvWCknlfCVUoyACsbgAurGrZNvpfeb16bnmEpFgeAfgpWwBvFM4XuxYW9HqFtFER8VgiOMPpJ3segHWxsVVtdq2VFD8UMfYPbbSyM6Hmjr2+9jgnkFAWAB4pf7LrBXlaCyGqYTr1u702yz4J9k3uVZfF1t9to34ZAKQpNBgNNKVCkaBWmXYCCPE3jKD76Kvlc2DzT1Kxgx6MdyONxfF8UudjbK72w5VoknRnCYzy216RXnMKT90GPLoQTfW8QLgAIiilswQQ6UUQXRbwuFGj014Y2Cx+sfS4w/+Wom0ZDvtu1gy9Y17xzZb+vC+/FF4UdOEVRzmst1xuFcVGoKIoYYJamdnjT84ptmp48ei+rPYX0j3tfrnGfWyBKuS4AJ8/PEXgFC6tP09Lux6i3EpiGVGEliS7SVNMff4wW1PAs+9SSaROCB1mDSRLDvLCX9/vyV1exeM9zG3MTAljK+9VoSLOZzcXleQ5OIEnW7sKzQ35At1uO6fFJEtPXGw3rU7u4MHKDFh1ATrWHmT0hhDt5rOr0EAJI6N2FEIAo3O3s+wgIY28BuOR5vCYAqurf82wF1cB3u2ZJLYqYBh8ATdmXDmgEYEMGco0B0XxVe2JDW0BxOMQ58qw9+oYBIpK1HNBegA26ajtnjzqdyjVU1Ou6vL3V9O5OfrEwoHA4mKW2Go5W7avntYfD+Nn4Pdi909TWDERUt2t7EDUH12K9tnUPEJ9MYugnewXnBT+HhZx7gnUY2zRnHLZ8WkQgTtmD7+9jBsftbSSNmRhSzZ0guI0gOIpTnl3uHdMqICF4zdDbXOYcAJYgg5l9Tl/w+WzviZ52+tDJiGEsa1HEfXi7td8ZlN2SGAnPWZmSD7nEvWP9QlIDUiGfaY1ot+3zPzxI57Mmt7c2no9znfP+cIhAnfyFwSCeJ9Q7XDP217A+SxK0GjzKF2uYz0I4oPdGTlRBJ2cRJAPEj1S2KnhZW1NJMAWg7SBkeG4hhiApWe/9vvUhQzhlmdm9O53yTCrnSB8sPIw56gXAPE2NXJzNjMwbDs3Cu1y+XC/O2XOZpvK0Lx6PRkCH57a8dkwy4DOTvxCCJX29bnuFczELBat/9T5y9v5CG5muruyf4CbC2uyKQvnXX1uYXLNpJDl9yPf3ck9PGr19q+l6Lffdd7Z3p6mB7OFQOWLNYGB95HmYA39/b5b2Vkt6905uOjWymXOoZmnxvtlUbTbTuSjkb24MiM7n1gePYJUkFnQ6mVg/eSC93fOz/Plczlv319fK9nsV57Odi4eDtQTWatY7vd8r7fWM8A8Bt+l4rPNgoNrnzzo/P1soXK0mPT9bP3cQnNzhIDceK3/7VmkY1+ien+VXKxW9nhErp5OlnodgyGS5VDKf2++7urI+9t1OfjZTGsB5/qu/Kv/zn0u/+7ux9/98ls9zJbOZsulUp+truXrd1mLYWwraxmo1JZK5xMh+eH42siTMkS/6fcunISQukBtOUnF1Zfk4zpXZLu7HH+16nc8xMK7ZNAJps1FxeWnXN4xUdmQfeK80z3UOz+uk19MstKQUoX3T7Xby47Hc7a09X8/POv/5Py/9jb+hL+XrTy1AlyTn3P9A0v9WUirpP/be/71/2vd/UQD93/g3Yg8km9vxGPvQCEEJYKAsKgn24hBA8aXfikMfdYX0ShSnahAXPVeAIAqd+Twy5oAjgoU40IONuSwSAIAc2rwvHuTQi4sqVSaxol6jBgAQKQIozABhBNFRGIfeqfI9Aei73VhoAGhh0CkQGR/mnB3gztl1AfiSxr5cmnoTDlhJL1n80GNbhqChvh8OUV3P8zhvHVBB7zafFbcBqg49/wGwTNJU0zBntiwQ6R8E6KEo8ZkByMGOWhZeYSMs+zkfHuxnUNVRKyAdAMgcqtyD/T6qsYdD7LdnDUtxpBxF2fEYAwDz3D43BXKwSJdEA6oI/ZiDQUw0B5ACcNPU7MEoCokli/tWS265tBCeNLXCoFazIuR4NJYYRT5cR1dJAy9700PfrisKU6zD8+xCDyXr1p9O1tMePrev1WKfIK/nvYXDHQ4GSMkd4HrzDKI2hjXjA3hxvD73JKwZX69bj3Qolnye62I81jQ8Y14q+/9dAKFFryf3/GyFX71eFkG6vDQlvShsHilp52Qf0Me8Xtu1OZ/LA1b9vq2fULCXe9h4bO8bYo5CkH0ly2xGt7f01nLCAKRGFagFss6H55z7USanVwLCfJYZ4344qAj3M4HMbDTscwKoQgHkisJShnFooI5D2ARnQxl8BRBC/aXXHecNDiQ+cwDjHqeScwYcUOcgDBqNqFCjkJ9OMdiq6nqSSsDgGw1bd5AQOFgAz1lW7j2kwxdJEtOsFwsL3zmf45x7zpnDwcgWVPB2O4JK1ljV3XQ4xOBJiCbOl/M5Aobb25cAu92ORCmfIVi0yyBRCBpIFSlONUF95SxlHyPwDuKZQDnOVsAIBPN4bOFr7G30YrMPkeXQaMRRqLVaVLMh0lHxuQfMfIdQwcWAcwowFp6Lckzd58/2u8k+AKhBVI7H0T3HZ2O//PQpznOHWOUf7keVXOEL8QDiiT2XM4b3nKaaHA6afvoUp61wNkL6zmYxT4Cz5PraJkCEcLlyDCtf1Bicv5W9ubxvnPNcR85ewvWGw3LecknGBADlUWohIyBicBHw/DJzmzOVZ47nEGINEmkyMSX1cJBjxv14bPt/6E+WcwbcFQji9dqeXxLYQ0Cpu7+37+33lW63KiAht1vrYR6PTR0OIogjo+NwsDMLkYU1s14rWa1s7BYCCu9ht4s1WzgzHc9hklj/eaNhqjgkwTfflC4ubbd27t7dWZ07GKgIe5AL55g/HKx9K9S+k9NJ0++/twTxJFFRrxvYDG1wLgTf+SD+ZKFOzsOz6edzuX5f/v5ekpScz+UkD93dGWkSajgXetWd9yrS1ABhu23rIw8j9ZKkrMG8c0rqdZtWAhB89Uruxx/ll0v5TseU3ECgJ0Uhv90qHQx0Gg7Nmffdd9L5rOLyUm6zUXI6yee5rfvTyc6ht2+tZqFee3y087rXkz8elUjynY6K8dgIiunUAucGA/tsvZ6S6VT5eq3sdFIhqfjrf90+508/2Tldr5d2dz092dn45o2y41F5bgn4WbOpvBWmJDTCjPP12kB4LYziO53KvvKk21Xe79vvfHqygMQ817nXU3ZxoTycozjGksfH8s8ceR6NhvzhoKTdtlC4et2EgOHQzuTNxmqYgIuSsN+MajXNwv1L7u7suQstwz4Qlv72VsVf+2vSX/gL+lK+/lQD9D/s15cC0Hu9njZ/7+/FoBpCYgjuIthMiomiqIdStP5ROFZt39V0b1R3AlRImUVxpkAA/PZ6tpFSROz3sRDxPirJHIoAQSx3KGYUqIB1DmeKkqoNE7svSfAU4dXXOx7jLNzhMKoDqOSw9IT3UBDze1G2AK8UMhzq2MIp/gYD+ztGjxVFDGL68Uf7WcIzUAhRkikKA+OnwACXRSfABJCN2rLfl0p5qfKhfhSFdHenjqTN6fRyNBCFJERA9RpCIgR7bjn3Fasstn6ua5bZIbbbxRaGPI8WRQog7IdhXEpZtFYPdMnWEjbH6jptNOz1KfRCb1X5OVB5AR0UPgC4dtuIANbl4RDHC57PQlNx9MYFtdihIIdk0SSoTsX5bHbu49EU82AN9Xke03ohTpzN73Tns9maQxHr63WVs9KxE1YLyDCOxB+PcVxLraaE4v352a4H7SJJUj6vRbttByrECdewYXPBtdvZYU5KPOpguGedLNOmEj6mViu2ytRsJI26XbmbGwP157N9rs+fYzGWJFa04ZIIa6eQzHJer8fXrLZYvHkT96nqM4cls9NRMRyW4X1uOrUC7HwuWwvK8EXWC4V+ULnkw9gaVD3CIEOuhDufzSbYCDPDA0Hlez1LUoZsYA+AdIO0rN7LbtfuSyC3/HptihrWXFoC0jSOjfSW3Ov4zN7HsZn8Xufi75TKmfIl0ZnnperrGw37O9RuwBV78Xwe3QW4FwAaeQhBDHt30Wyag2K5jCFLOD2yTJ1eTxsSwiEFwrUtQRCuCAAkaijP5nZre0XoHy6JNxRWKV4PAOt4bPsH1xagTZo4jqp2O04MQUGHqKw6IgjCBHhBUtJaAEjkekK+8v8QbP2+AXWcMFjIK24FvXlj3/f8HBVv2oHYR7mfrG1IYe+jtTxNozqPy4uzeTSy31FNXufM5vWPx0hmoZJW2xCen+31Li7s9SAvOJe4Huw51boCBRWbLdc8uLM6jYY2OOoIFsM9UA1LhRQcjSLpPBiU1molif0dJDOfi/OccxWyr9K2U7pd2u3SneHn8zi68NWrSODnebn2yrGMkqnOPJ+o5YtFXJeEpCJS8H1FEcdP4UAYjQyUF4Xtc4gA9brZcLdbS18P+48LxIwfjSzs6/Exkt3rdQySPR7lLi5sAsnpVIZilc4x7jnnfuipL6dfBMuxp54KDkm3XhsZPRgoWa/NMh7OYrfZWGjYdmvqfKcjffNNKUok67WK6dSU2p/9zPZg2i4gD2YzA0/ns3R5Kffdd2oXhXbLpVnPs8zI4/AM+83GztUsk396kjsebdb4z34mF0bNab+3/bhel9ZrpVmm82Yjt14ru73VKYgy6YcPyjsdZeezzoHI0HhsIHu/Vx7UeR/aQ71zyiYT5UVh7+PmJo6Ay3NrKaMmbjRMNQ+OPnU68rOZkTMtm8binp9N2T9Z8F4RVHv3+rUFmuW5ktNJ7uFBRcPGa2q9lqvVlHa7KgYDS6z//FlprWbW7uB+UHAruMVC/u1b+T/35+SenpTc3ZmzMMtsXOh+b/eoVrO57fu98v2+XENJu23kQbdrNYv35Yg5l+fyz892/jHR4eJCyefP5loIeKUIQcK+Xrf2uWCj13ptz1iSKAs29ROE9WBglvbNxtZNvW5rMUnMWRJcjN45my+/36vd6+mw2+k8nysZDFRcX9sae3y0Z/HdO8tKevVK+uf/+f9WjPan5evPAPqfwFeSJNKv/Vo8YBixEqykJfjgIAMgzOexgJSi6oj6WgW39LNyIDKajKTz8TiCKgAflmWKUFQoQH11jA3MfZ5HEInaDMhCNeeQ7HRiYUcBgs33fI694QA8LFQQDTD62PdxAdDLx/dyMGM/5wDPsmjD5dDGBsm1pBDkOlGEkOyLLe/hwYovAAEWWpScRsMKkufnaGfHBhsCmcpiSrLXIR8AdblqWQ0jr/T8bP9I9n7ota9alAEcKCFSLB4p2Kvpx1Wb9Xgc+yg/f7afe/XqZY8rRQgKVJbFBPaiiGsX+yV9h7hBSGqmKO907PdPp/FeAkA40FFCIByqeQrY7sP78dViPFjMcW24QC44VOyQ9uyC8umTxEBKWN9FnpsaHvqNfbst55wpspW2DB9IHy8Z8O90LO0cuzz3BrCA7RGrq2SH96tX9v4DA1+C0XrdfmeSWH8jvdu0OEBK1evGaue5sfCBYdZmY4cbn7vftyDHLDO7/35v6wpAiGrP+giFV9mrHu4zs8ZLyyUJr5Xn159O9j21mq1jyAXJFCHG49HT3G6/HCUZrqtrtaxgDi6IshWAIvR8NiUmvI6jx5aWgGDdK0E+JAJ7F2uLv9tuy8KjHBMDOIV04+foQ398LHtx/WZjpE2zacU6ZCWgNFhck4qrogRAXK9qAjmAHjIqy2zdPT3ZfWWvwOZbsxFwPklsJE2aKmk2Vczntn7Yp9nnIBaqzxrXkFwRAPflZZxRLtlrPDzYOuj3rTCFLIBknc/j+EksypwJtO7Q402LCKMBedaqLpvpNNqaUWnv7iLJCQkKwAykA6nE5boObRml44k9iXsCqYRrC9X++tquw34fW5FwOaSp/d3trV2jDx+i+4TUdazVRREnslTPK8gE6oJGIybUY6UejewfWheqZxifnX78LIsus6qbC9s6ijpJ/dQLiAWcx7wuRDvriPUL6K/+OWco7jLOjyq4LgpbR9y76vpA3ScXhvMNpwoOv6obgbMG4oMMBBL+g31Y4/HLEWucXzhUzmfbbyBX+Id7Hsgi32za/kItx1mM06ky7tYHEiKB/AoOHZ9ltldutwa2+n1ToPO8zFZx/N1yac/4zY0B5nrdRoctlwa2If/6/VJ5dLWaub2qz2IgYX2noySEkZZnabcb9zTnzAVwOtmoLfbmr76SKuq/ZjOld3fmVru5MQI1tEEVkBmHg6WQM6rru+/MIp1lSgIw952OEa+hH72o1025phbrdORevVL26ZNOg4G9z0CQp+u18n5ftQ8fdMoyuctLJe229Wiv10ZmSFJRKD2ddLq5KZP2lVbGw2U2UrTodAzQei99+60p9E9PBrK9ly8KpZ2OCkn++Vlpv698NJJrNpV9953y41FJvy8PwM8ya8Xb75UWhYq3by2xfrmUz3Oly6WK7bZMadd+bzb40UhJlhnBs92ako7V/XRScn9vLqjtVsVf/stG/Dw8mJOh2VSJ62YzU9mvrpR0OvKLRek6zHs9q5MCge4WCyNKajVLbT8elfz4o1LndJpMlPR6yhsNpff3Zb+8R8FuNMrxh8luJ//TT5HsZ2xtqJOSVsss7e22kVONhpEJi4VcqF18cGK5UP8m57POg4El33svPxrJTSamwj8+yl9c2CSCUIPkX38t/bW/9t8Mzv6Uff0ZQP8T+Lq8vNT0b/2taKFCWV6vYx8PQWwAI9QRACkAnIMKlXkwiIAHwI2NeLWKLDo265AQXLLsHOAoblVAR/H3+bMdbqjf7XYEvvT7nc9GChDKg/LByBWAeKPx0i7L5+LncA1gG6va4XnvAJ6q3ZfPHdjAskhgXfPfHNoUvxyWVWWdkVeNRrxHgMTz2RQk7JMowRR0HP70+HNvKXqwyQFGYeXH43i/wiE7GY00lWLYG0oZRT3XLgCEEggQNsbro3ozUqZaKIbArReqDwEsqFooeoA4VFaUL4pbyBfsrhR8fFY2ZymSNrgRQqK4RqM44zdJ4msD5ui7ZB0GBcK50FseLFWEpGi/L61SL4IEUQMpMCtjd+jlds6Z5Vkqe9MSWHMpXgPpJWHDZyJMiUKy1ZK+/tpY6WbTgD3FJNb4VsvCVw4HIxEonJPEwFkouFx4pvzxaO9Jst73JNGk09FjmppFLk2V4CIIyrCjF7haNHNfAJeArNMp9uVDqHH9skxaLIwgwEnQ61n4TWizST5+jOtiuzVLGmCd5wHrcLttBV14xhOe77AXeKksxB0KdpoaiA/3jXAhHwrLqgvJH4+lzf9FkGG3a+FSoc3BK/Sist4DiPR5bkFNFMLHo33vaGQqNbbXqnuEaxv27SLLrDCiBWa3i6QXLhKI1nBv/GplYIE9ifwB6YUd1TtnRed2W46jK5wz10a3G/cx1FDcPrR+bDa6kGwOOqCX4FLWYqdjijLAnZaZ2cxe7/Xr6AIDgEIO8Hc8L7h1UPFrtUjC9noxNwVAB2Eyn0cQivU4BDBVyYqStOMcg1isBrcR1AYxSHZC9cyQ7N8EGzHak58HHPJZRiPpq6/sXv7wQxxRhmsJp8bhEN0ZnOns4dUWBfq92WNxXlxfx3wQWh8gB1l7nP2h6H9xNnB9aEUJ0wDK8xdrOGsRVRuiELJK0qTR0DQERpb1CM81eRIQJs7F9cTz2WrFXIKq6stZ3e8bIK1e5xDcV7pmisL2KciIsG78YGD7KoQKzgScfJADkHHNpu3FVRs714vrivU7uBV9ktjvZm/IwixoSPbwnjxBXqxzrm+rZfvn3V2Z55MsFraXpjZfuxgOjYQ9HKyfmB7mLDPiGWJvs4nreLEwsM5M8nAfC+eUfP4sbTZ2Zk4m0sHGoXncAKH1xW23Nt+62ZR+5VdKEsYdj/LLpZKPH1W8fm0WdYhJ+pDX63IknX/3Tu6nn+QfH+VOJ7l2W6OLCz0HN07SaCjf75V++qS83ZabTpWeTtZ//eqVWcgPB3NFTacWILrf2xmYptKnT/LjsYqLCwNzHz5Izinx3mZ7r1Y2R/3qykjM+VyFc0ofHmxtBbK/CKSHu7iQrq+V/eZv6ng8KqnXLbisXjdb/eOjksNB+WSipNtVcTop/fBBrlZT3u1a24JUPqPpbqfzeKz09lZFOBNccNGl3uvc65ntvl639ToY2L14eJCaTWV5rlMg2rPZTOdwfiStlvxf/IsGSO/vlQRXCM9qElxDxZs3SgPZ4k8nJd2u3GCg/HSS73SUSnL7vYpOx+5jyE1Jnp5UjMfllA9/PNq13O/ljkedh0Ml47GR+eHzuudnW5/1uqnyk4kJHKGO0mAgF8bmFZuNfd7TyXrhvbczLxDoLqwBT91xd6fJ1ZVmQcjyoeUiff1aRaiJJMnluQH0v/7X9aV8/RlA/xP4ury81PRv/s3IRmNfD2NItNlE6x3AgcVIsUavNUoOrPF2GxNmUa2PRwMHALdQSJegGAAeUhdL+zPACvANkKMHC8UCJRVlh35NlE9UFoAKfdVVJZ7CAWWAZPkqkEMpRsmYz2NPNACNnkvv7bUBYlIETSjXXHdUFNj5qqpwPMZriZ290YjhKigIWWYKEuCVA5Eim+TbTsfC2bgmKM8UTPSXBtuSrq/t+2YzTXIbZ1W6GsIIwbJgJtUeq131+gFqq/ZOLPD0vONC6HYjUAthJqVSNJ3a6756FYMNsYhWraGNhv0MoJO8AtYUQW+QMRA1p1MkWZyLBAXFGrZMFMWq5bHbNXA1HhsbfziYrYr3KJntmaK4ZuFwZb/d6WRMeb1uTHA4xHlOinA9Xfi5f8K1UO1BBDiQIM2aeP/e2OhWy4D+dhtfq9Gw0LptnGXtmDeNwiTZf9NeEg4rZuRyX1HhAehTwtUA45V8BL/ZlD2BZcgZvZEUwIDTsC4JHPLBmutQoCSz5Q8GFrz38GDXgudwOIyzh7GCrtd2WFNEdLum8EPEYTNHAQRoN0MCOuqac6bghHXh2BOlyNoHlbi08QOILy/LQKYXQLGSaK5aLTpieJYALhCp9L3yPlCmq4n87C/MEoawDDkEPhQmen5+6YjBlVMF09X9NjgFiuPRrPvO2XpqtZT0+xFEAJbYH9kLsbyyrp2Nu5yyt6AMY+fu9SIodU56+/ZlMGazaWSuc7YX1GoRnEoxsI0QtnCfXvT2ovICtJyLyh97Cwol7WEo4Flmv589mnMOkgtHC0Rq1a2F+o+zi4wIQBRE2ukUn6Vez/ZrAvEA9JtNDED7lV+x9zWbWS84gLjZtM+FY6vViveakFN+H39fnZRxPEZr/PV1PNdwJEA6Q1bP55EYOB7td7DHsCY5E3EqcV+ZNw6pVG2vCALA5PJSU2oO1ivZARA2qPuQKABGbM8QD69evVToaSNzLqbJsy5/ESSH/u5yzwMAQ9wPh/F8wLHTaMT6RYrroVYrXUySyvnggHAvGQkMaT4YxDwUCL6ikA8OQDefl8+Dv7yUer1yEodjOsXNjQEg7hfCQ1BMPddusbC9K+xxngwQiCxclI2G/Js3lmzunAGlp6fYYoVqj33ZWZZF8viogs9wPNrvf/WqDDl2i0VpO9ftrb23MMaqrOekOI3g9Wul/+V/qWK5NDA8GMh7b3PQgwVeT0+muqapgfg8t1nq334r/fSTTRKZzUrHmp6e5Fot5YuFKejX11K/b7PN2UvPZ7NGb7em1g4GlrkR/imWS7unnY6yWk3n8Bwl799boOhPPxkwxfIdMkhqHz/q3O2q6HaNnF6vlTw/K+/1yv/3aaraem2fOc+lr79WMhgoZ+2t10qD0p3j9KjVlI5GOnU6crOZsuXSQP16bTPP222ztEMYvn4t/9VXSpZLFbOZEuqq/V7Jbqd8ubR2hjdvDNST7E9Wxvks1+/b59vvTYHPcyOB7u8N7L56Zc6Bdlt6fFQhKVutbD1dXJjg0OtZkv7hIH36ZIF7h4ORB72e/HJpRFK7bWspzCxPwllbHI9G2Ic636ep1O+bM2C/V9Lt2mscDnL9vobv3+uZLKVuV/7VK6uv9nsjigKBW/z5Py/95b/8XwfL/lR+/RlA/xP4Go/Hmv/b/7ZtKqtVDJShAAjhE5KiekmxhyWakWYouqTBdzq2EZPePR7Hg0iKKduAoKrFHLDb60WWmIOff1eBHYVFr2fFFuCNviwKbALRQj9mCS44GKq9khS02PSkl+orfw+4SxJ7XYgKkq+bTettrhacMPSQAag2AFiuw2gUe3UpQFEDUNzpe8amTXFLfzs2LApBFIM0tb7AycRekz5frgkkA2oD13s81vDmRvPHRwsNYVOt/vt8jodyNTuA3jLuCUU9BQukDUAEpQQVD6VlvTagTH/lfG7r6+IiAm/uAwCimn9wONi9onAFKFQBA2tPsu/jHlOY1uv2HigocKEA/vNc/vq6TAktSa5Gw0JyKNqqfcxVKzhhQgFsF87JkcjNvXQ2Vs1JsW1Cikoer9HtWkDQmzc2hiUU0w5gV7XNouhC8IT3VzSb1k9G3sHpZD3zFJ4clPSdywpHHQ5KQgE4bDQ0ryZ3A1qlkiDxPAtBCSmfm0DMee+tMF0s4vODKhnWnw/rz1UVJYgbfhf2bUDN+axiNDK7/fls7T8kLKepFb2nk9neWL+BXPGhT7BotaxA8d76OAEkUlRW2Tcp4CFWcE2gAIa/K5LE+gqxPpPtkCRmo8NtwH1hz4K4Y8+EvAO8AH4IyaTAx92RJLG/nLRr3CCocQEg+3BmuCyznsckMdIkkGMvAuIANgBLyd5PrWYqPp+BdRAIhWG7rTkELY6lYKvXbGavQ7jl46P9//W17SEApl4vjgXs9eL+wX6D1RgFM/QilpkarCMIXoB6o2HKNeCM+8kZV7VTT6dRGcc9BpHCs8he1WzGPfh4jGR2oxHJYAhj9hEAoBRt5zidIEGSxK5Do2EjqHC1heCm8kylDQQCmR5sgF9VXYcYkCKAxq0QCMsSeLFHArKTJLYgQI6zr7C3QvDWai9Hv7IHXF/HVjXW7OmkofeaT6eROGJPTdMYKgcBTG4FgByXF86G7TY6BKiRuB9SDNXrdiP4rgTY+Xbbnh1qCcgyzvGgZDuICt4v4gjEIG171AZcp+BGKxV7CFfcFN1uGQBXki27XWl1d6eTrYvDIbbuUbOFULjS8VKvy/f71i88mSgJ/dWePQYxYD6P5BZizsWFvf5iUYKo9IcfSjeGD0Sj+/zZSMJm0wDQ87P1ZIfWsOJXf9UU8XB2lbkh7bYRA85JV1cRoAUy0z0/29m8Xiv9/nv500lFt2vOnjSV3rzR8Ppay7s7+R9/tGu2WsmtVqYch/aHNFiu9fmzgfQksWC8JDH1O8sMfNdqSu/ulBwOOofWAXe2JPbi8tLO5ADwi+dn+2z9vlnhvVdyOCjJMuXffCP3/fcqFgslrZbc8aii0bCe9dVKbjZTbThU0e2aov70ZCnuw6FyfufpZCGs87mS4VD+q6+UB6Igz3Mly6XZtxsNpd5br3u3KzcaKS0K+fv7skUpz3O5r782O/x8rsR7ZaeTjr/yK0auhPT0ot02BT6ci8lioXwwkJtM5D59ss8bHC7p6WQqf7+v5OFB5yxT2m4rOZ1UbLfWYtDtGjDu9+2sXq3k81z5ZmOOtYsLKcuU4DwLbbEutKl4smY2G/miUHJ9rfzqysB/OJfT41E5Lr/NxvrxA1mPU7DodJQ8PNh/TybyvZ6Gp5OWT0/y797ZM7Xb2edzTuluZwGKw6GKr7+Wfvaz/1pc9qfx688A+p/QV/Jv/Vt2gAC0i8LAmhSZ26KQ3r+3gmE+j8ozhynA7uoqWs8BycGiRAJkeSiGjaUE9lXFj6IZkFVV4CvWxxLIVm3eHLzOxTE4BL9weDNOLM+t6EGVOB7ts9Hz2e/b56dw4ppULXDVfu3zObLLoXeldATARNJXi0LDwcFBzTWvXgsANQE32JSLIs7ppiijR5xrRXHB76UAgwih+J5MSptOWVSiKvNzEBuw+vT3cZ1JR6fol2JxSSAgYYQUSVjguTc874S3QQi12y8VqfU6Jtrf3NjnJ6099ByV4EyKwXSAQ5S0zcY+F4Vr1Q6fJJFYkuI1Zi2haqGiMYIMtYhrJ9mfoXhyn6oOiNXKQCCHKARV5XrRf+iDzb1UT7mujKKBsHn/3uZ95rnZy87nMrjGh/Xnqi0Fx2PsW8SFEoCjD2DWHY+xkMbeGf7OY4kN9sMX4ZCs9eo97XbtZ3BaHC30pWyPACChUFazBnCzBJeB994O06rNlKI1EFMA6dIuWq+Xaf8OJ8x2G0miJDHSIZBLLjz//nQysF63eej2uDoLK2KNsO5Cv50DqEPkYO8FXEnlM+OLwq7z4WDFQJhZXBKfUrw+XEsp9rQSUAXpAhiqWbq+4+e4Fjzr7J/YkiUrdk+n6ACRYpYDKnU4I4pmU8nNTbyOvB8+J895uG/l76xeGxRriGL2UMBPsKsmPKusqfk8ThygZSrYNDUaxT1it7P3T1gZI8cI4AtFZAnScBQA3CCcuYesS8i8ycSebf6M/ZrQSj7TbhfPWUgHWhwAsTgaeBY5PxiNh4uK8L0qUIeIYS/t9yM5GUgnJUnsn3/zxqz++72pPzioDofYf8+Z2+nEiRe0b/F7OR9QxFmXqO0EsNEOAUjl3ICAwtnEfsG9A/hlWTz7Tqd4Zl1dxZGl7Bc4JjiTIeiqbhzOevJteHbYPwKJJ0As9c54HK9VxfmjWi0SzuzR4dkqRiMbScieDAlTcdX5qyvbVwjtg6gEqEsx+NO5eEbxOu229aLjAmDPwAl1eRldQDjmaKmR4voqCiUPDwak85DSjnCQJAZCnp7MBixruSpJJ8jusOaSPFf+5o2B5OPR0rE3GwPJgeRx47Hto3d3Kpyz+/L4WJ5LLrje/Pv3Zbidm83MQTWdSjc3Sg4Hs5NXbMjOe3No7Xa2zn//9+UfHpQ6Jz8a2USNXk+6uSlbyEgFzx4fLSBtvzfC8XAwu7lzBvYhXsL56lcrm/8e1lT2008qksQAeVEoPRzsel5emqV+s1Gx2ylbLpXXaqYWhzow3e1KhTr5x//YCISwX6aDgYp+X7Xf/32bBX5zY3v84WAjwIK45I9HpUG8cfO5Cu9tDvdoZAT66WStCMul9Xb3etaWVqsp6XSUj0am/q9WKgYD1Tcb6zm/vIyk4X5vjryvv1aRJHIPD5byHkL1fGFz4LPZTKdvvjG3wMOD2ebbbblOxxT8mxu500nJfK58PLZzN9S7yWZjJHpIv/e7nZLzWfnppHS1Uj4cWs89Itvzs9xspjQ8I/58NvC+29k17/etvaHZtPsWnlW335sT73g09b8olE8m1pJxPFqvPORwv2/ZMFlmLr3BQG44NFInkBIuTe0sHwzk2m3541HFYCD9i/+ivpSvPwPofwJfpYIuvRz/QWo2Vj0UNgDh7a39/adPsdiCvT8ebdHS1/fdd/YagdXS83OcTw3IJ3imGlRVtcpVwSSj2gASFAf8m95yDp9gPypBNyF2WNpQ1qqFF44CrgmAE2BNcRMevPIgur6O43CqltJqzx6jeAjFQzFCqaHnGRWGMBOYeHrfKPQeH+29ErhXtc1RjNDDRugKfXuQA/SRYvOh5+/Tp6gsYyUtCg0XC82x5HK9QrCInp+jTR17PACCIBuubZWEoXADkFHcszaq7zPLYhF+Pts1IGymmkRftWti9aQFIstir+rtrf2+p6doe6fwZOY0oYkckLg4IKgIi5tMbL2t1xGYATLabVMb93uzINLvh/2v0zFAVunFJ2jOYdGkXxEQFOzEajbL3vxyx9xuDTwHldaH4g1LuzYbA6xhffrQtuLCz3rv7X1KxqJjJw3FbdFsGqMc9oikGjIJSKhYS4dv3miGDT4UwB4FhPsbrNQ+z8tRX+V6pxgNfe++KAyUo4qFPjEK3dKyj7U49On662srXAmpCoq1hwDDgh7WYnE6Wd95UII8SuFmY8VDnltRFD6nTxJj6AF7kD9hjXspkgKpjdyTc6ZssE4B0exPAQCW/dw851WiEustwBEHCfeDQh1Qn4cAP0ByABRFmtq9hEwKYMMHF0W59ut12y/Y8wDlqPnHY9yXAfSo+YAqFFAUS5ThLLM10O9LSaJht6v5p0/2Z9xzwDjZHDhsVit7lunLrtfjhAbGp5FLgpWZQFIyH7ienEG0D0DQsn+zF+Ha4b70+zGYLUki+V0NOOX3o1pyzuAIgdzj97Kn8p5xykgR/NJnDWA+naJbaDi0fyCocUDRH7zZ2P0MycPlZBXIz1bL/r7TiZ+L98S9pu2AsxcinD0TFbpq7acPG2cSBAqvwbXGAcNkEtq9sPRDBGw2dr+urjTsdDQnsI8zD6K5CiQrbTMkb5eJ9tjRUcohpmYz+/lXr2zfhxzjvEf4wCXDsxDqDD8YGFkWCEZ6a0t1XjKL/GBge0O17Yyzl2dBip+RtRMArg/Pnav2+eM+GA6t75uzZbezz3t7G91vFxc2MlOylPTz2cao0SLgXNxH220DMtwX2pl6PbOxBzeDv76W+/77SBCF+sjN5/Kzmdns81zu7s4IWMk++9u3LzNVgvsxKSyp253P8q9fG9Barw34n8/2nsJe4n77t+0sbDaVNZsq9nvrhb+4sN+9WmnonLm9wv1ITycVw6GSAASTx0drASDVfG9ZKtnxqOPVlVmog3LrGw2lu53yJFF6OknjsYH3/V7Jei2/2ZiVutWSa7UsnC7PLfDt229V3N0peXhQ3m6b1b7ZNAJnu1Xt82cdgy08aTRUrNeqrdfKw31yRaHicDDb9nxuCvP795Jke3mYmpEE19gxTZVtNsoHA9WurnQ+Wbq7KwrlrZZqm42O796ZQn13Z6B2u7Xa480bU5uDwiznrCXCOfnnZ7PYf/ON3KdP0nptRGtoNfNZJn99reTzZ3MpXF6a82GxUPr4aJkHQVTxgeDRfq9svzfiYzSKyvrxWIbXqdm0+xDaYV3oc/dXV0pC20bp0tjvbfxemhpIf3oyZ0UA+z7LlLZa5hI7n20Nh7PWByFw8NVXmocx0i7kFPmiKAP+aIct/upftbX8hXz9GUD/E/i6vLzU9O/+3dJiKBI5AVmXl7FXjo0UNSxJzB7XbtsmibWd+xXGQmgyMab5p5+sSKrV7PCktx2QzmGGtWq5tA2YwxnFiEISwA/g5Pei0FA4UaRUATCFGzZWCmKUCkgJxsBQOAOkpHgdfhEEY8FLU/sZgDo/jypCIYrKC1jG3gp4o9+z04lFC9cgz2MPIKo6vX+AXHrrw0xNnU7xflULkyrTjqr+9m20dBMsdzxqcn2tKZ/36Sm2EkCiZFks7rCpV5NvUclQr+nFR/UDoFLQoEpTvNLrLcURcFdXpv5jYQ0KRKm6kMiNq4D3hAKS53bfRiNbp3wPxdlsFhOeJ5No56wqgBTpkFz8vjw3Rnq9jq+LbZ/ezzS1TT4U2KUVkn7+4zECTWyj/b71DHpfWuZeqOKsj9NJxd7GvjhsuEElLZwzNYfCFht2u22g/HQqZ8tKKpWSUu2bz+PvAnhDupCkfjioaDR02e/r8fnZ5nxDiGHXLoqynw6lqGg0Spu4D6+bYO8Me5AvCutlOx7LILaSxGBm/eWlFQ3YRoNS7NttY7TDnzn2g8OhVKx9IJ+8JBcKcoL9SiAOcVav2/WgFYI1VrVtV8mo5dLWK8V/UUS3DAqeFP8e4FXpIy2Lcp7lqs03PE8+TQ0I8Ht53gDqFFl5HgOvUGfDOvTOmYW937fiB6C+3Ua1GjWO54L+XO4z1ucsK/MJXKcTpzWgGjebKna7aLEvCl1kmR5DxoAjfAwSD4s1waQAB3IXwugi9XoxxJMWmarbIFh3dXUVc1QAHuw5vF/OE/ZRCEwcGOybzWbZC1u2I9H+NZ/H/dY5Wwv8PvbtLIsADHU6hBCVzhkmMbC/VvdiwFNRvCScR6OX51RRxCwAQPR4bH/GcxNUtrL3+Po6gsZfJEPZM6ptKBDanLHcK5RSQl6pC8ggkeL7IGgM9R+CUrK97u3bCFrnc03evrW8lE4nEjio7tWRdeyLvE/cKqwDaoIq2O71IlnC1IBvvoktStwLckmoHdjnIKsIFz0cbP2xbnl2QguULi7sHIFEgiQD0FMbQAZSl4R140PwnAtuP1+rmRV+t7O/r9VKtU/brf0/AgEtOPV67BdnXeW57aO04RE2vFjY99zcGOjZbKLl+zd+o9wjPf37Hz/a+cJzGWaIa7eT63RUvH9vxCsOiPncUs5DLVe029JkonS5VB6IFZLodXkpffqk9ONHs553uzbXvd2W+/nPzX69WtkzmOeapKmeA8CvJYlO3a6B9Hrdnrdu16zs+72K8DmTWk3FYGABqLOZ9Yo7V4aQuTRV/vq1XYvdTtliodN2q/Rsvfq0SPnzWcl4rKLXU/o7v2OtZPW6kcAXF0bYfPhgCfaXlyWpWluvbfa5c+W5qPXawOXxKPfuneURhHOUcFadbT577XhUsd8r/+ormxgT1qHrdFQEkcB/841d9/XaLPHBjVhcXlpg4OEgV68rWS6Vp6my7VZ+NlMxHlsmzw8/2Drp95VMJkpmMxW3twb4P39WHnKW0tVK+XJp4LrXU8I9DnVGcj5b+nu/b4nyvZ6KVkvZdKrz87PVQM4ZcRKmxCSh/UGvX9szF8QE32iotlrpFIRG9/Ag5bkSApKPR7s/ztlrdDpG9oSzNklT+x0XF5o4Zzk7nY7Ve7WaqemdjoXqjcdKZjOdX736Z0tBd841vff7X/o7++/w9UUB9H/33432bnr3ONg/fIib/e2t/dnTkz24HFS7nf0d4V3VEBR6vxeLGPBVr5uqjnWOpGxsbjDrk0m0R0sxMKmqcOZ5BEP0OwNqAagUvdhWYaYBSqNRZPABgliwIQcoaIoiKta1WizsKoVl+XMUGBS5FOgEEgFiAOrSS7sy14PCLc+jUp0k0b6ImuZ9BI3YjlCZKYz7/ag47ff2Gp8/vwQTFCQoxf2+HbCknh8OmhSFpozCCsmkWi7t3wAMijIKOPotKTIBFRT1+70VJRQ/lT7rErShFNLrTM++FBW6y0v7XT/+GD8HdkzWBuAY4Fuv23prtyPJQbAcvb/VICRU9eqaRm2DgCiKOE4LoI9axZpJEgMpaaoi2LVe9Jzi+pAieRWs0Z5C8hzmdPsQMoeCJ6kIfWcO0BaCuxhRo+3WwFtI5/XtdrTYBxXbn89m6Tqd5DcbJQCSQKD4PDc7GOs1qKc+9Jx6yZLPDwc7vCD69nsDfZAI7Dv1ejn+pQjvo5zDzT4Q+j6LorC58awX7K+DgSnDAKBQSPowtsVD9u33MeEYy20I9/OhbcUdjzb6BWAAyQbQYsIBTggIu+AEKEPBiiLabKt2WKypPIPVNc9rkOdQIT98YPlL8MhnguCDcKSYZ73gEgIwosbxXECGOmdhhI2GkmooE24SgBZuJIAY5CEFLz26WWaFJaoqnzdYmD1tBGGPfnHuHw66GA41xc7e60VClM+PYojqStYJqv58HoMmJ5OX6e+cXXyx/04m9m/ISwBnWNPl3+M2Y9/n/dGiwX26vY3nAwQWtvXqPWKEGcAMYgDgyd7Y69k/uE8+fozEOE4j6aWLabu1f5j7HSyaajbjvkZgGc6UwcC+D9IBAmS5tM9weWk/D7Hf7dprovriRqi6wlDlq88JpBr5Hzy/wYpbOqoAxDjSaJ+jXabTKc+siXOa3t3FzzEaxbXJ9UaAQD1nPXGWsfdTq/CsQSqz90GWZJn0q78axQueXUA/BAPgm+sD+ROAuj8cjIwCCLO/jEa2d7LvIBSwD/O8QsjR7sPPD4eWbUGbR7UFic+dJGYhPp1KF5cfDg2wT6f/pDOJ/Q9wHRREf3FhFvRmU/7VK+n+Xu6772LLTr9vfbqfP9v3ZJm1WGw2NsbyeJS7vLS8jeNRvtdTen9vqerzufIw7z65uDASd7m0f4c9Mckys1H/zu8YSA4kRL7dmuL71VdKZjOzfz8/Wz/2YqHhmzeaf/hg/dDBXZWs19bLPhjY7PPVqiS3XKejc7utJMuUfvxoQP5wsCC4/V55tyt/fa10s1EeCN70dJJPEhWdjp13RWF9369e2Xv94Qf5NLXxZ1mmJDhX3cePtj8GAtrv99bP324rPR7jufj0pHxtM9iLb79VkiT2OiETxGPLD4S57/Wkr76ydRfG07lOR9l8rnO/b2P0Hh7sd59Oco2G9VIHsisrCuWBpPaNhrL5XH69VvHVV0Yq3d3ZiNKrK6stnJPevlUaRvbmb95Y28Djo7UYbDbS7a2KUHt6yWbDH22yh/p9peOxinbb8k7CFKPMOfnDwZT2qysL6Z3PlYzHOr1/X7Y9VHGCC64Z9/RktctgID0+2ijXYNPXdmv29UbDXG/eW20UALu7v9f4+lrP1HABuLvzWcl2q3w4tHXe76v45hvpL/0lfSlfvwyA/l9I+r9L+gfe+9/9Jb+/P9TXlwLQkySR/s7fiUCSWZQc4AAhGPrq4fv4GBViLJWNRpxVDRMOUG42YyI7YV2Afck2eiynqLAUJ9j6KHYk+zkOIApe7NmE1aGyYoEHxMGE07O739v7ubyMKgEAGhUU8FQN3ZlOY/gXSgAKGf8NkEP5lKKKixIoxcKF9wcYnE4juA32K7VakXUHfKMecjBjW+RzD4cRzEIK9Hr22s/Pdj+fn2OBibMAYFyvm6LCLGAUNK4hBSHrhx48rh92ZdQhigr6WSF2eD1UBgp/VCoAK32UWMsBWedzvG+vXtka/fw5gmSKZpQNKYI+lJZ376JiTgGLpRywTmFdHXGEghRAVTEYRMWXnmts3HluAJJnBPs/nw9FSorEC++be8v1yXM7oIKKnlA8heei2G7tz/LclOCgDHvnjGUP6otzzgA17wEF43SKgXa8H5451i2/PxBVDkVntYpFLSp8K8wRryotwbbueE4oKAF/WWY9id5baBqFfbj2RRbCd5Ikqnykq4czxB+PZa+glyyxNxzGPgAMt9tZsM1+b78H2y3EGP3O1YAoCDZ6vMN+4723IhqVFqUIJwvPAGsiEI/l+wx946VFnP56/glpt77RsOsWFAB/PJqyD6lJqCXPMdkBFadLkaZKJBVSJD0AltjsIdR4Pu0Q+ScnHXAmALYgKSFb2e8VehRPJ7NuhtaCcrZ8msZrzHNU7QfHCcDzBYiutEK8IFIgQB8f7e+qIF6KORz8PN8/HkdXEIo9ZAYAHwJ2s3l5LuKmaLfjGK2rqxhYRxgbFmNUfCnupTgE0jS2MVXPTTJWuOf39/aP95FYlqJzi2sHMIVopR8fUoPXrN638Tj+Gfs6ydS3t3YNGd/V6dgeDLHNeYK9nEkxVaeZZM9WqxXD4CCD2ech4iBeIKMWC/uz0SgG4t3c2GdjH8IdcnUVXUA8h7QOsRaqIXRVF0BoDyrfC6QYar5z1h52PJqiT11RdSrS986zAQHG/sgM6CQxwHQ+x32N68PPHw7RNVTdZ3AysKfyb2qbTscIYlq52NNZixButZqK8dgcWFwTiHLvTYmGMMf+G9wZbrWyUViDgZLf/m0D7llm399uGyDCgnw+m8Kd50YOZpn1JHtvhGmzKf34o4V5STZaK8vs/m42ttcmiQHLU0iWn8/lwvnPKDjnnPzPfmaOgsdHufXa5ppD3HS7ylYrnXs9JZLyWs0s7Vjkj0drOQhrLG80bKTlZqP0+Vm+VrMJKLJ2pvTiIoLM0A7kJLl63fbu87lcE8XVlV2D5VJ5q2Xk6GRiKe+zmdXMzab1TzebSgIxmNRq1tvcahkhslgoOR7lJhObMR72s2K5lA4HpUEIydPUiI43b1Qbjy1lfr1WHojUZLFQ/v69Ke6hPkzy3K7Fmzcqlkuby16vKzkczCaeZXL390YIfPutku++s+T9UCMV+721yw0G0ocPts5vbqTl0lwBi4URK4OBjVzbbFSkqYrDQelup2S71Znk+9HI3sP9fTn6T6uVklpNbjCw0L0kUfLmjfLxWH6xsFaCJIkuLdp9Dgfb385n+cXCVP4kMZWfHJTExueWztUwcs4tl/Z+tlsjPloty2rY7az+SFO56dSyEY5HS3H/lV/Rl/L1ywDoiaS/Ielfk9UY/0DS/9X/CXjkvxSA3uv1tPk3/03b+DkwqnaszSb+HampgDhs0DCqHOioNGFTLgs2EoUpbih8AWtPT5FFR8Wl8AeocLhjqaVIplBHSep240gURqxgIYONpoCiX/L+Ptr/QthGGWzGoYUiwWdl/AygngMW9QRFHWCCNRLw7ly0icOwo8ZTbA2HMUhvt4s2QFQeQuiwg/9iDxqguQqoKPqlSJaMx/Y7plNzOKDuVQuHoOB0Li60oSikeAwbfwlgqwCr2bTPTr8fRQPBbVgBaTEAXKL2UDBz72E/IYKqDgAKINaSc3FuMeFHbMqAGtYs/+CGIG32xx/t9SlOKfbpB4RYYqvp96N9FNB9OKh4frbZ4BTYFB2omgCpTseKDAAaa64aFhQ+f5HHMV6OEK8sM5DG96LWsUYkU7DDGnP0vJJoLetRd9goq+uf0KXwM4VkhZZkBdJyGdcmpEe4Fp1+X2t6XSUD81lItKfom80MJAbSwbdaZreDnKgUmj5JLEwPxholyDn5xEJ5ElTfimJDX3Kx2VgBtNuZCpEk8cCGeMiyaEeuKuK0YkjxnrBmIQ9R4CApTyc7uOnlDj2xPsus/zQUaj4oPS8s1lIkuHAchD2EQJ+SbEQJJGCy07FAO+eUAGIg2cJr+jwv57/7Vsvm8aLizmYR+EIicn8Ph7jGgv1SaWqfh73weLQZx/W6FW0BEDhn+QMlIAfo0wIjlSnVnXpdm19UYyEguE/c5+paYM8gmZ096HSyewoRDQlXFDEwFVs7AWTkdOA+4nmHFL28jHvffh97lCH+jsfY1nQ6xTFtz8/2GrRkABTZK4oiEpLsadXwONRwiAQyYbZb28v5XVwzCFruKf3U7N39vgFYlH3OCRwCnLHcr/PZvu/5OZICr16VNmQlidlKOx37PYDqUMhqPI5kXjUkj3Pr6iqCec4O7i29/bRdjEZRuR+P1UkSbZ6f4zgu+qw5Z8kv+EUyKwSfaTyO15/7X20rwTVIDcI+Vq9H8puWgdC7W04LSJLYg8/rcp6x3niWsS3neXTIcf5wjkqxJoKgbLXMaUMWBmc2qnoIy3SBPC6zOfh7sheWS1OwCRmt1ex8gNDnmYCsPhzk8tzsy4eDkt/8zfI5J8PDff5stulGwxTT52c7z9JUrtWynz0e5Xo96w3fbAyQBvt+MZlIjYaN6eLaOJs0IckcoOu1gddAFvirK3M3hGffBxKDljKfpkp2O7Vub7UJgDPZ7SytPbRhuc+fVdRqyo5HncJ5kn34oLP3SvLc0tqdsz708bgM13Prtbna0tR6rptNO/dqNVNmnZM+f7Y09/PZxrZ99ZW89/LTqe3dYZyal6xfv163Fq1wdvnZTH42szayIFj5JLG0/cUikgbeK1+vbT/+c39O2WqlPOx/bjBQsdupdj6reP9eRXCSuaD4u7dvo0Ngv5drNJROpxbOdj4r+fhRur620W7/+B/LNRrKb25sJvzpZAnn262Sn35S8eqV1O0q/fBBxfFovfqdjrJWS+fERpcWhY2frc1mOoVzxg0G5jz4/nsTPUIdkBwONlo1TeWen1VcXZVtL267tbY9SbXVSsckMQFlOjWnw9WV1R+5ZZ/kq5V97tHI6gmeG/aBXs/W1PForordTu1GQxvvLcgOcW2xsDXZ7dp5d3mp4t272Ib5BXz9MgD6WNJQ0ljSPyfpfyWp5b1//0t8n3+gry8FoF9eXmr6t/92tGBjh2QRogpy0BJ+IkVWGzAJSPz06aWKTBo1zL0UQ2sAZlVVFfADeGVebbMZ54BXQEYJkFFB6b1CkaQwQJ3o9V4qcxQ9HNSLRbQ5j0ZWQNFnhmoEa46yj9WuaoPD9o2djc9KYBjKNuQHRRKHe/VzUjjBilOsOReJD3q8Ad9BXSsBQrUYozDIshc90Lq4iErhbBYD/rDtBmJjUqtp+vBgf3ZzE8E3JAntAlyjNLX3jfU9jFgpC2oKlF8EIFVAX7WQonZQsDMjGkfCLxY+2JhZPzgYqmQP94d+ftTpWs020rdvrcd9NlM5+53ClHWBMhWICt/rRcs574mvasgP5AQqjHMG0mhj4H1lmXzofU6q5BFODUA0NtUkiUXdcmkWdufMAlcUpswAwrnWADfJbFsUdeE59YH0wSIv1BeIHKzizaYdSsEC7ZzNsn4KhW45pzcQfj5NLXAlHIbl7wXcsn+g3gfQ6MN9cgEYecC+FEm0oDaUBBL5CJL9HtZctcjGil9Vt1HinTOll/YCQDTuF8neI4Rfq2UFLYUjpBPEF6CqSvLhxOD5qJIM/LxUgt/y/jQaVmxLVgg+PxtYZp8MRVT5+lJUyEPPZLmG+RxkJEynRojwrEBEQcCi/mPXDZ+lCG4lF4gTl2V2v3g2eK7ZKyA2schLmlxcaIp7CKJ1t4v969vtS+KCZ5jPWb2X7DUQcotFJKcuLyNYw5VFbzDXhX0FhxJ7CHv31VXcvw8HI38hTLl+uK4ITB0O7T3O57ENqUr+saYhf6og8/ra/h6LOUQi++/5LH3/feyTJlAPcheb/un0MhsG+/puF/ea0Sjus5wrtC6x/z8+xnvz5o19DwD64sJec7OJ02CoCy4u4jqdzeLeBskzGsU6A8ceYJY2NjJIQmvXxHtNIb5JJn//Pl5r3jdOGOoOzhnO2/E4/j/nGK/L3letKUKrRrmeIWwaDbtfgFruK3UBdQT/QNISNoczBCDPuZimcVxilZQnm4L3irOAZwLRoUIOF5JN/ZAMoITz3Ie+e+ecWX4hmCESg6LvNhv5btf6kn/80RxsEOoh9M/d38vV66aUT6em+vI9w2F8lgcDue++s6CtEJBGq5/33u431yRJDNwulxZshrsokPLFt9+aIv/5s73n52cDZoeDcsByIF/G/b6ef/ghBlgWhVm0NxsljYaFlI7H8vW60g8fzAK/2SiHTA2f32029tmOR0s1l8qcGS+VLiO/Wsnd31s7WKhVCqZB3N9bq8FwaL3+4cz19brScMYUYd65P53svLu5sXNVsmC749HEgfNZzjkl87mlw799a/PBNxu5JFHe7dr4uNHIfl9QppMQvOhfvTIy+3RSrSiUe2+97P2+kk+f7Lq8e6fk+Vm6vzc797t3lnY/HMrd3Cj7/d+3YL73700dDwJfcjjI39xYS0Igg7PlUoVz8o+PKkYjpZOJWcX3ewP4rZbSLJNbLpVLll9wPqtYr+W++UZ+MDACO7G2QJckdj86Hbvmz89ynY65CqdTI5gDKe+SRK7dtuR87+Xbbbv33a58o2GfkayccP6Nv/1Wzwib9bp8yGhyWWZuvYsL+YsLc5Dg4PoCvn4ZAL2Q9P+S9I8krcI/S+/9f/zLfKN/kK8vCqD/3b8bC3wOwl9ULSeTeABi7UHVhpGG1QaMPzzEQLaggpQAiXAYDmIUECkWm6jSAC+UgjSNvWSh50itVhyTA0gCVPJ7SNUFUEhxvA5gjELs8jLOheezXl3F/sBGI4bGAO6kWExXe7Ken18mxOMeoPcdUJNl8dCuWvS57ii2XEfUnv3evg/7pRR7I7F1o+qgyhPmQnHS68WCXyoTcMvwqM+frb8xWDYnrZam9J9RZAwG0X5Zq8WCGFs4qgMkQa1mvxe1CBaUfyiapFjIY6nETUBrBmRRlkWVDBcBBAgj4ADmXFdUQtoYAGyQJ6tVLOZHI+mrr+z1fv/3S0W0BCNVhTrPTTFAQQfoUEx0OnbwUeCRPZBlZX+5g7TK8zin17kIsnBqoDqNRnYYhc8DGCrC9XabTTnGzNN7BbnFc0WBx7UI97iQlEBIVQPeACW/4ETw4UBTmpoScDxqsttpGhQ1n6ZWbI1GZTq8Q/1er8sE1JJIgiAsLJU2oS8yLFmH4hRAh2+1Ssu07u7sczpnKi73luceGy3PDPZOQBWEoWRg+3Cw9wpQ4jpBbgYA549HU4Z51rCyNps2pud0MsVK+iddPThQQkpwCUiqCr9zppBRaIe+bH8+230+HGLoW8VGWarLrBv2cUga3guqIc6J4dBseyhORRH3ZBxKhU0ecOF9QOj6Xs+S8ANhUzqoIIOTJO4DPMtSSaBOnNPTfh8/K0QC65DnmV5uXCbs76zxqv2ddcvfHw4RXF5dxed/vzf1FdIZhxcjQw+HGFgnxVYCxpvV6/Y6KPbs91XghFMNxXI2i2cnAWfYqnmvAEEIQnIqaOkBVGLTzjLbxx8eIvCAoIUQ8D6uNxK6aX/jfSZJ3CuK4mUfdNVhwWfOMrt+3W4kHFotU5QPh+hyA6zjYNhu7b1K8XMgEjDBo7r2+T764Q8HTd68MTJ5vbbXHI1MRAjqpHq9+OxzjjNDG+KNVoWPHw389HoG+iDGWRfVVi0IeNZDnke1n/s4Hse2A8gxyEDIAs4UyCVaRiRrqTke7fnGucN+FggwX69HMlWK52o1Q4IziM9SJUZCfzMkMYSubzRsfw3rueh2DQDmuQGQJDFLO4RWUOqTpydTrQPoTT98UB6cJS7LzM6NE2K/l7u/t33keCxFFDeZWJI2Z3Ovp2S/N1L74SGS3N5bH32/L//tt0Y4PDzI7/eqzec6OWfW7VZL6WKhvNOxJPTTSWPnNPXe2kCTRMl33xkAxHF0fS3N50rXa5s5vttZX39oYcnT1HrUl0sjgXFHhb2xGI2Utts6F4XSkDheZJmc9yrevLF7tt8rvbtT0ekY0KzVbGyYtyA5L1kNEZyPRbNpPdn9vpI0VXE8mi0+z5VLFmZ2Otk6+Qt/QWmeq3h6MqdDu237826n/OuvlQanm5fM8v3qlbUE7HYWvNZuS4uF0jRVIcnf3SlrNJRfX0s//WRW7+vrMlDQf/utqes//GDkw+vXcj/9ZOt3szGCPrRmJEmivChsnN35rPrDg46vXknjsZHP9/fW0tDtWjr90QJii8tLyzhoNOS//tp65NfriAUCaZvkufzzs81cv721emO9lp9MjKgI+1MRXIK+07F2hGbTQt62WxsdNxgoKYpyOkL+9q0mWabpdGp1x2ZjIX7ns4qrK7nLS2tBWCwsxf/Vq1+EZH9qv34ZAP2vSvpfSrqR9L+T9H/x3he/1Hf5B/z6UgB6o9HQ6dd/PYJr+vtQHJfL2LMLY/76dZzpvFjEwx3lmCIJRhiWk4KWogylFnIA1RlAAxssRRa7qu6gmNDzjv2Xw4jALtSKat8noThsVqiXgE2UkYq9qwy0If0X1RAAhSWfg5q0XYo2AD8JxEli17jfjyoNKgG9X+dzHHWCSu99LABg5qu9cCEAREkSWXHsdNjjcUHgnKgqgDDXFBD03OMi+OEH1c5nnVgvqPsoWu12TP8n0Ai2frGISj4jWIoiFoeMvzmfo92Ta4WCRUGBKn93F1l3bJIERVGIQ4pQWI5GsXCnHxI7NsUm/2DpRs1GlXr1ygif5TL2apMyT7GO6wDFkbYBWhSwxVOsh8/gzxbUlpDkCxEEgITUGo1irzSgbm9jR3zolRMs8H5vs6xxqFQDiyC49nsDfMejJZZ2OmZ1Rw3GQo2iEJwyxflsh3u1h5piHsWvXlet3dap31cxmZi1nEIRZZciG1AcwAi2QBfuF6PBPCNQ6nWzTSaJ/HKp5OHBbGese8YZUXDimsGBA8iERKFYp1itrgcCMgEnFWXIn05WLFfug4pCrlYzsoa9qQoYeRZ5rgH9EA5cZxRnLMoA8FMY45Km8ecgV1D0aQk4hFFwrNHgrCj3eSk6ldI0gsuKq+LFFILQvuLDnu8q9lLfbNq6RI3m8/CzVQs/oFwq21b84WCOj+CmqDmnE4FWzaatT/YcnC6AIuzpPNuQI6wpCAjIOIgQ7vXpFCdd0OpCIjXBkFWgFcIFy+cDYgcSkwT5fj86uQgLZc/l+gO2mdzBHsl5ynnE+uVzsp/SznVzY3vj4RCnTrDH1Wr2++/vo8JL+wJj03CzQdpUSQcILdbv5WXcH3gd1h85KXd39rkmE7uejDGr1aymyDID4zx7fGYIe6ziPJ/V634+R0cS7yOAwtpupxN7EOd9q2Xg/PNnew/DoZEF1Z5tnn/ILM62ZtOuW5LYz3F9aDfjZyHCWbOc9zidcMLgqoAo5xkHMLMuIeerf8eYOOoFwDwONvZ49mZUd0QB1j97FoCd2oWajv9HcKkKH91umR/gajUbdbZayf3u79qeF/JOlCQGyHAY7XZyHz/a/h3O2AJF8eJC7vd/31pywjUqcN61WkoeHy3Nu9UyZfJ0irPQw9mRhOvuXr9WfntrfcnPzwY6z+dyQkTRaNh87cmkbOdxSaLaYKBTWHfp3Z0py+u1zqORXFCLc2dz2V3FxZVfXxuxsNnYCLVA+vhazTI+zmf5mxtzKITa2BU2eSVvNpVMJtbHvVopeXoyFT4QjknoxXankCa/2xnhEdoA3GCgPDg2a/O5TqFud7udUueU73Z2L/7iX5T/8cfSJZV0u9b7nabS27fmMMgyC5yTpK+/Vk7LXHj+0udnC9Cbzw2w9nrKazXVfvhBvlbT+f17A7ppKv+zn1mv+cODqebeS58+GXn0/CwNh0YoIE4Egtk9Php58OaNNB7bfXt4MAJnMFAyndpZ0e3KdzpKn55U3NzYHnM8ykmmxtdqSpdLq1MOB0uHD8+Pe3qyfvewf/rQn+7DevbjsbUONBrWarFe2xlK0PJiYa6SmxtpOlWWJDo9P5cKuZOkN2/sunN+Tqe23v5ZCokrf8C5iaT/haT/oaT/m/f+3/nlvMU/+NeXAtCbzaaO/96/F4Fe1fLIxk2xQlGPvarTieE2s5lt1oxdQVGH6Q/hGmWoVq0W2fbhMPZqUhTQr4mFqt+PRRxWc74H4Hx5aUVJtXBhjArkAEUcahi9JGkai6mqnRW7H0VWNRwGYJ3n0faM+iBFRXo8jkUpitJPP0UwSqFbr5sdkAOflGAKyPv7+F6Y7UvBkaYRfAAKvY8FD6p01SrPQcnB7X10Q1AMYveuWtnPZ9UPBx2nUyu6cAYAJNI0hkXd3kb7O0pj1RLH/YDdpDVCikoLdn9IFWx6XN9ez67558/xul1cxET/KjFU7edGvaj+7qrdHcBDUQRQRs3nsw4GkSS6v499eHUbRyP3C2m7FbW7tGt7b+nqT09l37kvCjswCWwEMB2PcX7ubBZJkEBAFL2e/V0Y3+dwxDCWDfsYrRF1601WkpiSvdvFkDJ6Qlm/Yb34zGZUJ9XNpGoZDSptUaspGY/NNnY8qtFo6Ai5hpUcYAoADC6eIvQnK8uMXW82jWGnTaBhSaokvnqZulEGzmAZB7RAcvC5II4gUBqNl0U596zSQ+wlS3sNxKF3rnQraLEQM9hLdR3CEQKMYpy9DNKINRee1SL0L5bEX7BEAsYKyfq32duw06J0o8ry+7Fbz+fRFQTJNZlEkDMaxXvQasU2i+r+FUCQT0IGgKz4dI1GnP0OEAn3qsgyU6KqLpOQl+CbzajGd7sx2R9QFNS8eqejI2CUPREwjHsBtQ6lFdBWFPEaYvvlHvyiAwryRbI/f3qKNtqbm9gew/5WdXvRFy69JHAhTAC3OIcOB9u3AM60KPH5OB8gSKsuLAgtQDH3FFKEiSSTSXSNdTpGMNM2Akj8/DmCONY7Nnspquk47MLzUAaych6S3UIgW9XKT1jddBrnlA+HL3uyyUL5+DECT8k+F2B4u43EAQQx5xXPAlk6i4XqjYaOKNCcD9U96Pra/u7x0V6DEFRqCHrtcQ9xDzjHtts4HQXSFdIOt0vVscZaw6XYaMR7gUsAFyJuCQA8TgopqurchyrpBGFPMB2EQCBNiiwzshYXBnUJewatY1LpVEgOBxtjJlkvL3VSeF59u62i2bS+8vt766mWVHQ6SpZLubA/Js6pmM1sJBc1BgQVpHpw67nZzABTtyvX61l2xcNDDFANrQ7u8+cyTyU5HJQ8Pyu/upJub03BDcFz7vFR3nvbXwDOhfVcM52kCGRordvV+R//Y3MCARpfvTKyOIQ7lqPGQh1SjEbWk7xcGujObDqFD0Sb6/UM8AVi0Qf3QZIk9ufO2Ziy/d4U/TBC1p/P5lzgvGo25RkxlyQ2ki1Ys5PzWcV8bsFokk55rvR8lpvPVXz7rfzFhdIfftD5fFaWJAbo12slw6HydlvpbGbBcbud9Pq1fK9nLQPOKanX7b+DiyANSe9+MlG+XJpFfzyW//prs7u/eSM/Gin7rd+STxLlb9/K3d2Vazjd7cz23WhYi8HRxqe5ojACZDQyq36rZZb1x0dzcZ1Oqm82Op5OSicTmzRzOKh488bAejg3XLNp5wln82Zjjgf68pdLU7IlucNBSZbJu5AAPx7HmfS9np11y6W1YbTb5hzZbuXfvrU6ZbWSLwrV93sdya2YTOKEiwDmXRgBd/7qK+nnP9eX8vXLUND/n5I6koIkoULS0Xv/V39p7/IP+PWlAPTLy0tNf+3XXhY3HGTYd7FvFYUBVgBx1Yo+GsWU2t0u2g1RmyhGAvNVHvhY3Shaer3IkAOGYaIB06hKHCQoGxReWNnp687zSAxQ7HIQwpajTlX6JiXZnzcaMaQN+x1ACwXg5ibap9n8IQoAfSgip1O04a1WZrejVx117erKChLsgTc3UW0k5AkbKCQBxUvYLMriIEliUSPFfnxS3CErYNrp/eT9owpTvPb7mnz9tVmVAXk4A7BcUsTA5hM61O3aGmJtSbFIpvCjQKzVYrGBKo7VkoC63S4SIqh+9/exn5R7RbaCFAFMBdRqMIjgH5Z4s3nZr1tV2KsBQag89Xp0HByPUSHjfZO6LxnAYcMG+FNUoX7gLEhTFRcXSui7DsW1977sSZNkNrHwugkEGuohYDAU834yKce/+aC8O8aFcT15bsPzWQQAmAAekiQWrMGV4Ws1uX4/hrRwX3c7+STRxXhs4/kqqe6l6kxxHdTeYjQyS1u9HgFcuN8+z63golC+uTFwOJu9zIDIstjSkCT2u6RIQGLHDSRjOaYORZJ9IShEPjhSHOsurA2fpvZegkPHJ4l9dinuBdX1jQsDJYxnFdCJcg/oLszW78Kz6tjvsiyOOXTW363z2d7L8Whs/3we1yoW6ouLWPhz7au21/BefZra7/Q2co8ecshVR/8y5GBQT8u56wB1nE/VrAaAJsQEewHXotu13xmu16Re11SKYyOleK3YU5rNl/ZzyB/Wc70e7cuogZwRhM2xH1Z74TnnHh7sGbm+jiTO+Rynh6zXtt5ww3BmSva6kGn0H+LOCX2mJdiutoFhsQaM0X8NqGHd0ZcPuYFzAuAOaJ3PY0I6ai1gjrA6yHII1SqBzvegumLzpzVrMIhkLq/Je+EzdDq2P9JCUXUL7Pd2PXEEVJ1wtCtJ8Vzn7yEzaLU4n6WLC01ev9b0xx+jW6Z6PuHegQCAHHAuBv7xO6ptV1zvKrFHyO3NzcsMB9435w37MH9edVwwyhEyFGcYYNn7eB+rjsCwj/hu13IngmundF1hu8dpgpsF1xX1VLU24Ws+NyUxkNsuqI9liCnEsffW9kU7ISLM46OFu9XrduY9PJjN+vLS5op3u3ZuXF9bqNtuZ+B/tTKAFSYLJI+PlvYe5qgnAeCW7+dwsNA0yeZ9h1F06efPKs5npU9POjebSnc7Fa2WktNJeZYpbTbtdYvCVNQQNja5v9cyuLeSLNP56sr62kPtlx8OShoNA+ftts6djurzuc4o6lXH0G4nf3trxDutKiGIL2s2DYgGd2AJ/vt9nZ0zYF4U1iffaMidTjZjfbs1Vb/bLce0ab02oh/3TpYpXa/Nmv9X/or1qIdefy+ZPft00vn21q5L6NWWpOLNG9VOJxWHg/LQvlDM5xZ8t9vJz+cW5NbpKP30yRxrr17J9/tKVyudv/1Wms2UfPxoo85GIyXff29OieDCStpt+V7PBAIco4uFBc69eiUfZrxn06ny/V6aTJQsl2YvzzID0YuF9e3f3hqpv99bf3mrZeRKcIcl1GPjsfxyae/3+tquSb1uhMbppHMgYl2eG3kcJhq581mu2y0zE+S9zYRfrUrRzkkav39vWSlv3kRHzWJRtga70OpRvH5tLp4v5OuXAdC/kjSX9Z3/4WT3X/LXFwXQ/4P/IBZMgFAOApK5sUVX1eb7+6h+wmZKseBcr+OhRjFUFPH1YJmro2vqdQNyKJtSPOyqoLSayEuv1HIZA2JQw1+/tgMOhXmziUV8UcRgHuzp9NWzuVJcolonSVRqOYDO5wh+2+1oteYQxq4LK01IDOBQsuv04UMMiULRJnGaA3QyiaO8sA9DfMBGo/ICUlHvKGJIFqaYDVbpUrFptV4e3Hw+LPOtliadjqa1WgwYolBYraxQqVqCKWKYcX59bfeYgg6wAkCQovpCoULRznqk0HvzJtr8IGqw/u12dk0BOfQ0okBQNLHOUBApBqWoblT7XgnHwWKJU8N7K/AI+un1bHZrUAt9IFCwnZfAgHvonDHjkAWSHKGBhzBWZjSysVS1mvU9Aay5hhAArI+g9Pt+3w5wDh0OFRQg1jPrM/RIl/3jKDP8Lgg7VPlA4jjWOXsIz3wYuzTpdDTdbAzEBvLIAayC0u5oZTgcbB56IMwK701FHw5NPe92Dag+P9uaq6ryOByw2/LZ0rQctVO+T4AII6Yohllz2MFPJ1uvrJsA3HwoUh0ZDyhvvAcAHs8bfbZVVZpnJKgk/ny2mfP1uhUim40p0BCZEHK1mmUOQAJAfKLeAn5g9Cv7kZep8F6ydRQ+R5nOnKam3AACm01rI/A+EiZVdwWOqaKwn+OaVUBpGf4HwOR9Y4c+2NxgR0sK00SKQpM01bTqthgMYq90lQQm5dn7+N9YuCFfUe0AaQAZQB/3TnrR71/uR3d3seWKvBI+Eyr7bGZr4fbWPickAsQF5CltVKjks1nco6vBZZzREMq0YUGgsqcAyiHQqkFqKKXsa4FwffHccM7udvH55asa9rpcxt/H72Ec5P29vfb79/HPcOFBgHDuAFjOZ7unEFUQ/RDHPHvN5kvwA7CEtOG6hes5keysIlX+8TGq2tjXeZ5CL7Qmk0gO0NfPXo3Tod2OLQ0Qyox6Ox7jZ6k6QdhPqo61avsW94i9jOcWVR0yhp9BFUdph2gjn4e9m7Md0h3nEvs6LV4otPw35x7nHaSeZAAdgne3U/Z7vxfneQdi0z0+GhAKa9I9PNiIq1bLLNpZZiRzsykXfj5bLKynud22s9A5JR8/2hmDwv78bMCrVjMCb7czAH97K3d5aSFi5B9st0Ze1+tKNxudh0MLPOt25UNd6dkjul1zN06ndlat13LBYeQ+fpRvt5U9PCiv1cwdJqngbH16kisKFYFscc2mBcPV6/Jv3iiZzZTnNlrVOWftAMFBkq3XKrxX8fhoYWuNhim82621qwVHk1ssLM3eeyWjkV2jTkfF8ahssZDLMvsdIYejeHy08WLffqv0t35LRZKoluc6Npuqn04qkkTnfl/JYlGei57RiNNpqRYns5mS89kIgvt7Wwf9vgrvlX3+LNVqyn/+cwtKazTs8/74o/xiIf/2rfzhoPTpSXmjUTonXDhPXKj93eFg/fLHoynhwYGRfPyoglyX+dzCcUcj65nfbExRn0zsHMwys6JnmZE14Zwi0DDpdMqE+yK4h1yjoSJJzAI/GsmNxyrOZykE5LrFwkiEQNy4+VxuMrHRgeG6KKjy6nY1ubnRtEqyTaexrg9tNxoMbNzaZKIv5euXZnH/0/D1pQD0brer7a//+ktLO4fKbBaVU9RKQtvoXQ3WznKWKnZ1gBY2U+zsgU0sbdXVFGopzhfGUn59/fIAo1c9KEUluw8rHB4iPT7G4BlUKvrcmk17z8tlHKUCMKPoYnYu6oIUizb6one7CEZRW1B6Yb4plqoMP2FgSWJKFqCAAnC1smIOlZF7gqpyPNr1vL2N6hXzXSmY2u2yD6e0tFbBCGw+1mkpFhXcDwgLACoK/eGg9mCgLYd7sxnvE6DnfI5kCb2mVWsqyuxXX5VWxHLcEcV1tV0AcEKBTiFNP9/trV1LFHqC3y4u7HeR2krRnyT2+3hPWGEp1FGYIG4AexR1p1NUOAGsMKX0971+bYATmzFFPKAFZWw4jKml4V467w3MNBqWFOt9CX5dUJBdUNdLYER7Qq9njDBgnXsC8KjmPUgRHIQeMNft2nsJhEpVxdRwaIA8y0pltVRcAyvvAOQQMjILtOp1dZzTlpFDoRfdhb3APT3Feehhjfpez/q4arUShBbTqZLHx7jmKehRfXBgAESzLN4DVG1CmMI1KtPY89x+d71uAHM+j6AqWJ99o2EANc8NTOLwYB3U61Y8YDvn2vH8V1sFdjtj6rfbsl+PfaDodCyUjz8Le6rf70v3QxnAyHrHJsoaZ9+hKO904qx5ivAss7UGWD6dTGHq9czu2eko4Tlkf6ySlxB0tP7wvLKn4zxoNCxhF8US4iqE0LlQFJUOKcLzwjPXvrjQdj63+1OrlT2k5f0GqPMMT6cR0GJJh5Dl/0PwXflMQxbwPNHHC3mM1Rly6v4+7kMkLnNd3r2z759ObV2TXQJBzDXgPAUkENzG+ULvc1U5BqhwjQnxouDb7eJ1/kXLc60W2w/YPzh7UEIh7qqkRlVVxxGE2w5wDPDEGv/8bK/x+nW0v8/ncR1B8JMBw+eoqu28Z1T82SyCZK5dVdEnyyWs7fbFhbbHo13LdttIgySxe4cwQFsERDNEBtkouMO4PjgVsJfjpEAwgCDGfg/xT34D5CXrFsKLe8E5B/F7cxMdGFU7P/sD5zWqOtd1MrF2mTS1tiUEBe4x5yzPcBgJVp5v4dlyq5WBtbBenHPR4n5/by5Aaqh224BUcP8V3huhdTzGsbyhHcbf3FidMJuZUnl3Z5bnbteI2IcHA6Rv3pQuFkc7Zb1uIWLrtYGrb74xhXMwUPL5s43sWi7NFs+53e1acne3a+doaNkh+DILwa/nLFM7SbQbj5UulzqfTkpPJ7OJ49RLUztrj0fLPTmdDNDVajo3m8rmc52vrw1wPz2ZvX+5lKvXda7ZWDXt90qKQvnxqPpioXMgYfzpZOr2fl+GqfrlUu7uzs71dtucavW6paDv9/LOKTsebezaem2K+6/+qpEHHz6Y2n48Km+1VFssVNzclG67c5IoPZ2U3N7q1GiYs+/iQtl2q/NqZaTK4aBiNlNWFDZP/PnZrmG/L//2rYHrqysDvD/+aGF3794pCYGMPs+V7XbWCtFu2znK+Xg+Sz/9JDca2cx151Rst0rmc3PSHY9Kp1MjP2hjzXNbP1kWhRlwxXRaEofJZmPq/fFohMHtrRE64Zwq8tzGx715Y2vde2tNDI4v12za6L3l0pwD799bPRRaftzxqCK0J/g3b9S+udF2v7dnZrMpCZmi25XrdFS02xYSeHVln+UL+fozgP4n8JUkifTrv/5yfjQFBgFj9HGThJgkMVFaMhDEPZpOo7364uIlQ41yiQqPioCqTkASdkJUoF7Pih3Sfvf7GIQmxcIYdp3/7vftUP7pp0gsEMRCKv3hYK/z+XO0mQdLS2nNBmhTAP6i+kExVQ30wmJEMdtoRHaaYqgo7HDiYAz9RuVBzTUgTIciMhS05f0gqReLPwog6tbFRXloVsdLlYc4RRbFItZu7hO2WAogHBS8J3rE09R+F2QK16ka7gOw5noEplcXF7ZZbTZ24KMOEDBEUV1VKlADCCukReH1awPsqKsUz1yTx0d7b2zorG9UTGzt3sf3xhqG7JHidaaorwJeWgoAyRRk1f5lyUDh4WDqcGbzwEVaK84F3AuEGmLdXSyiE6LZLENIHGQZRACgfLWy16WXMYBFH9QGHxS1ctRMw2aQu9Bz7gJx4UOPXGn/Zi1g5a2uTSkqcSFHoBiPjfmezSIIS1MVtZoVaYOBqQcUjSFUpSRY2Kd4hiB7UP6qtl1Aa71uh2i9bgfw0VJfy/uKGsboP+4XCi7XMux5xeFgBzzgvdoewXtij2A9sedtt/b7T6dSLfZhn3GABe8jWQnBEsi5MqUfcom9W4q/KxBB5Rx59h6uC6Rj+HMfFI0iECIJ+wSqWQCthfdlIn+ZHg3xwR4UyDQPCdJomNujMsKzyDILtaNliXYBHASs02CXl3NxPn1uEwIc5DDEDCq6FIkYKc5wr9fj9A6IQICo90Yy8lpVOzBBQFwvQCFkC+Q1zx33AFB3c2N7+9NT3FsZM8ZZhjsHVwGAHRWcFiLUbwhq7j1kDMTbcBiDW5+eosUdBwekGgQO5xaqNEFxZDiw3iCZ2OsgjlutaNuFLEfdD+0jOhxsL33zJqrgZJhUHXVkiuB6qe6dPB9pGskzCBZyF9iTiiIS03lu97dWiwn3v/Ir9j7IZQB0UfBTj/BcsQ9I0cVSVfr5/expSRK/j/2YkYSsuWobAUQ4DhHOOpxpy2Vsfauq9hDs7MdV9xvOhuEw/j1OH9bz8fjyuTkcYrJ8IHpcs2lKLvkatLH83u+VwkzZ/kLNUq8rW62k6VR5rSY/HFpqeJIYIL68lPuN37AAU0hG3mutpiSMLvPBReBWK7MzS1KjoWKxkJ6elPZ68l9/bWRi6Isuskz+82fbQzYb6eJC2fEYZ5BvNnLeK+/1pMtLJZ8+WR97mpYJ5fnVldx0qjTP5Tcb5YGUc4G8SIZDs0ofDkq919l7ZVlmoF+y+eW7nQE0yULWAgnm6nUVIbgwub+XB8CFOjPxXu5wUN5uK9vtVNzf2wg0SKNmU2lRqAitbuydSaslPTxY28A/988p+fzZRr/V63GU3OEgPxopXS6VB0JBkoqbGyXbrYWyjccmFISsEe12couFAczUcl+K00npu3d2dmy3Kr7+Wn42k5tOlQyHKpLEVOw0Vbpem1Or1VIxGJibMJyXbj5X9vCg81dfyY/H9tlDoJsGA2Xzuc1n73QsXDaAfD8aGcAPQkbRsHF6brWyc3W/V5rnygMpWjhnFvnt1nJTikKuKJQH126S5ypqNaXttvLNxqbE1OsqikLJ87O1OdzemqshvG/fbBqYr9UMo1D/PT/H56DVshq92bTaI9QCRbstff21vpSvPxJAd879K977/4Nz7n/kvf8//bG8wz/E15cC0C8vLzX99V+PdljsTtVDluRYlN9gbykP6+fneNgDhACfFBWoOvSUz+fxYOUwgtUnGR677cND7PsdDg2A1WrxQWBzp6CBxa6SDmkq/d7vvUxEr9etYKCv7Xw2cIjyzkHIYUp6fbWPEmUFMiPLYmGNJREVgvfHAc3PSfF98Z74c5Ru+vEBQQBC3k/o1y2LF9RagmwA/W/e2J8/PMTeRNQGbI9VBel4jD3V9An2etYPCoFCWwQECj3ZvV5UjCX7N4VQksTQHJQHir337+37Hx5iAA8uCtoUOATHY/s5rK0EFOa5FTNY4MOczVIpPxziuqVAOh4j6OV30oOIekLRi2ILcKoqtBRjSWI27PAZCwVCLLD2CiqED8W4227L0T0+ECcO5wBkFMpGaPPwSWLKcyBnfJpaAVUZ2aZazaxk1Z8B7AZ1zRPwRbHPeDeKce4v9svNJq4xnjXWHgp/sFb7kDnhTidNzmdNQ3J0gXrZbBo5QQvD+WwH/W4XlT8pKn7VTACKe4pO1Ol22yxk57MBSsC6s9E7LklsBA32fogOCBQKOxRB1vD5HAkBKRKTvC9AW7VnFGsvQKPdlh8OrUCFHJjNbO/B9iqVbUPlXHGINXqPWYMocOEZ8sFG53jf4X358PflKLvRyIoL1h4gGTtu9XfSC82f8bxW1E3fbMpfXNjzMJuZosJaZx3zHPPs038L0Ajrztdq5kzATuu9LhoNTR8fY1sNewtkKHshaxiwAXFAcU/LAn3F2N/Zz8bjGEgmReBAbztq8fkc+7ghTfk9rJtGI6rIl5e2t6OMZ1k8A/d7+zPWHwAKMg0yaTqNgWpYqFHYWXucDeSHhOkG+uknu3cBAJXrHhDHXly1TwM8yXqhR7pKgPB80X5RTWfnOcAtxGt0u3aeMsllsYjuM+/jzG+eDylO3SD0jued8DreK58lOBQmaWp5KQDW0ch+P4TJu3d2Vmy3cdxaAHulgwsCToo9595H0MsaRCRoNGLSPvsq+8JuFzMguFd8H+sWog8gLsXsmPv72EoBKQjhUSULuX4QXzigJpNIQrLH84wHUqI4nSKpFwQPn6ZG3nY6tif9zu/YPtNsmrqe55awjTNkNrPgrmbT+rwlsxW/emU96R8+qOj3DYBJcsOhCsLUViv5qyslSVJmtVQD/vx6reTpSfrZz0orNKR4cj7bGKtazfrMr68th6Nelw9ntysKuw61mvx338mt12XvfjIYqEhTjU8nTXc7uelUrtNRGsB33m7bdInnZwOwEDtpau+715PevDEQG0SEzDlr6er1LH3+dFLSaEifP8tnmdJWy8Dy+Wy2bOfs7N9ujZQIZGbebJaERhLWhuP7Qw3k3r2znvLvvrN7s9spr9eVnU6WtF5x0iRZprzVsjngm42BxlrNQuOCQ0zLpZ3Fw6GREbOZESDv31tafaul4uJC7tMnufW6zMvxm40JEOE8SXo95e22Oe/C2e7CfuC//trOD2/p8L7fV9FsKvn0yZTrV6+s99s5Za2WTt2uXcPgVpNz5Qx4T/0VglGTxcIIIfbQAMz9KcyVH4+tdgr/VlHI9ft2HyQL4huNzNkRSHo3n8uPRkrabRXX1zbuLThoJ0miKSGXwWHjazUjdmj1PJ0smf6flR5059zfkvSDpHfe+7//x/D+/lBfXxRA/3f+ndiLGzbWcmMejWLhweZPMYOiXC2c53N7Yex6UhzPRTAZBynqNeoLlrWKklIWHzzUHHrDoamkFDjHY5xfyyG9WsUAOlSHft+KnO+/j2w/QBn7IwDu8+dYrDab0fI4mcQUdcAbhzfFMwcvSiq/AzDK9ZKiKkCxzUi60SiGl7HpoJwCJCmaIQuaTSs26EXnkOfvUBl7Pfu+z59jIm7lgC4LEAADQDa85uT6WtOrq9ibi7oeLMplYUjRjTIPYYF6hI2OQhFXxnBoRczVlV2P5+cYeoaFDyAq2e+8vLTXI3xov7fP1utZMVidMIBFNaSpvnBY8BooIxBMkFOh77oEaxRGpERDyLgwczs4FTzXv9u13r08tz45b7NqdT4bqELpAzDu96XtszgeLawE8ErPcJUkO5/tsElTs8MFMOPPZzscAURB8SntzQFk+GDzTgAOhDnS/w8RF4BssVjYPO9wf/xwWNrW9fxckjK+XtfFV1/pCSWh2je53ZraIL1MN2YNA8J5XgDD7FsUiVjhKXTpnw1g1ee5qf8ogqH1xnc6Rlrw+6vFKZ8ZlZLnG4KL/aLqnOB5c84IiqsrCy3KcyNpZrO4xlCwApFRpuyjgnW7MbwORbXaF9xsWihf2D9YU6UiWA8pwMOh9e5lWQwcxNXE/oF7Is9tXUkvSTtASCDr/NWV9UbO5zEgk32p6mZi3+M1ODdC4Y8KUqqCfHbWdJ5bTyg90pCgqH2Adu4Z14qWIO4pKjP3BwcOZ1inY8ANQhL3FD8HSchzUT0XJXsfAK9q2CNq/XJp5wdWdHrNOX9Q4gH9KNrhPpfPxHIZ54NXVVls6ri4uH+cJ92uhaCFgKoSmIY8i7IVjWetcp9KezJZKZx1gHopAmWKWUJOOTsg3XlOsswA22DwUvFHncbOvdvZ97RakfAaDmNrEc8e5z8EfJpqMhxqCgHOOXo42O8bj+2zrFb2/+/f2+9+eLBrxj4GoYmDgXuMQwqlHdcY5FKjEZ0jfA8tbQTWciayT/FvrgHPJyQwZ8/dnf379jYCdGq4alYB7h0cZ1w7cnB43XrdQHh1rw2A3J1O8t4bMH14sNnkTAPIMrnFQsl6raJet97wQHa5kLAtyVpm3r41oeRwsPPi7s4A52hkZ8Ljo318xvYFu7JLEiNWNxtz94SeZwickhgITg0Hcd5qyT0/20it7dbC6RoNJa9eWatUyFHykqmu43G5J4/PZy2en1WMx0YAnE62l3uv5OnJeu2TxPrOGw0bqfb6te3fDw+RPHHORk42Gir2+zK8L/38WX40slFtwSFU7HZKazUDow8P0umklCkCjYZyCIuiUJIkNo4tEAOpcyp+/nOrEeZzm+2+Wunc7dqM+FA7Zfu9Tv2+XFGo1myarT7M9E5PJ503GwPnktUVoeWzmM+VHQ5mb7+9tftwdWUjz5ilfnEht1goy3Od8lzZdhvH44Wz0282cudzeQ1Pt7c2p365tPd9dSUvKf3uO/lGw5T941FJrWb3UbLrTg7Ndmup9aE2SA4H5b2e0sXC2hsmE2svCOq1z3MD6F9/baPcMstMcMulAXnnjGA4HMzCf3VV1mt+vVZCfdVqyb96VT5rbjaTn881aTY132yUj8dlinz5LM/nJQFbXF1ZXfqFfP13BujOuX9bUlPS35T0a5L23vv/zR/Lu/wDfn0pAH00GmnxD/9hTG/mAEWhAACxSQBGKI7pewWkcmCiPBdFfDilmHJLAU4fGz2MqHfBBlyqWByIfM3n8dCGFSZMbbEoN/pS/a3a0FA7ul3pN38zjqoKDGdZGNHXRi8YYWvYrZ0zFvviItr6Ya75eSkWnPQqYpfDZsjvwQLOoR9mdjL7syQQOFQhU6pAvWpxZ94shQFJziS3Ywu/vY2vhaUY4FkNneNenE4atFpaLBYxEZrPWwXOFKb1ut0nikvCcH4ReFX/DXBhFvq7d9FCmeexraJ6Larkw+VlLKKr/cqvX9vPoqphw+TzV+3EFMJMLQAIAJ5Qc4IdvLTJV8B6Ua/H1HPvbdMP68KfTnZYQ0hB0nDtQ1iOC+SQC2DA57mx5qRiU8z3+7GghWSrOi3IVKhaWSmwazULjwthbn61MkaetgcCiiDKeM1Q5PvxuJzw4NdrU18y66PWYCAn600ftFpaEKh4Pts9xRGBWsbzjmrNXlR9roKrx4d9yXEv+UzVADjuV7XflsyNSp9nGVpHcRx+3ne7di0InEnTGJIW9iiPMt3t2nP66pWRLqeTWQCfnmK4Tig8mRGsoMI47ntVlceCW7Wlt1qmfIc+ynJvyjJ7zVar7PlXs2nFYZ5HQJ5lpoABCiDwAA5VF0gg5vxwKNfpyL96Jd9oWHH2/BxJKlTXNC3D5yRFQJ4k9p7SMAZvOLQ+/ZMFFSW8zm5nP4eyB1H4/KxBkmhB3zDk1W4XbYSDQUxohxjg+eDMYnY35BNnCGBaiu09hO21WtFpVf1cXCdS8qX4bLHHQ74AkiF1Hx/tel9fl+FH5fq9urKfgWjEOVYFuGEdlITu8RjDzLCks1dBYnGWMSlluzWw3W4bUK32h9MKBkjy/kX/sLpdI3dR83u9ODOe72ffhwThi30EAh6nz2hk75/cEAh3718q+YQ5UgNAvNMmAAAP+8lgMtGCs4X2E/ZOiLrJJDr7ksTGHzln7wECxfu4r2LFpvbBeQEJBKENYSFFoA/Rx7WBbBwOo/OuSjJyPXn/3EdcFHd39r6ZIAJI533hhIC0olWHWuDVq5euC+dszwpntNtuzZpcq8n91m/Ze+LcS9NYa3lvCvZqZdb0TseAXpLIh/aR5Ld/24LRVisDb8Oh2ZVXK9vDh0Pbh6k9A+GShOfTPT5a+jWj8BAsiqIMxfW7nfT2rfWAJ9ZbXYT9rri6MuvyTz8pmc8NlHuvotMxgne7VXo+y0+n6nY6Wg0GFkhXq8lfXNgotvXaLOuhXcqdrPc8f/9e6XxuCeOJTfFwkhGsoSb2zabcdKrscNApEC2OfIDz2a7ZamWW7Hrd5nh3OkoCeeWKwloEjkclzik9n5WHUWHJz34m3d8ryXPlRWH96BVXnF+tTCTo2LhQdbsGXCVLPT8c7JzjuYCE49omiZJ37yyn5nSyM3+zkVsulaapzv2+hfEdDnaWHY92b2ndck7pfq8iOIj8cGjp7o2GzYJPErnxWG46VfH8bOROIIfUahkRAYkU3Fh+vZYL75scmaLRsHn3gSh0oYWQZz1pNFS8eycXWlpxfPjbWyMIikLpbqfEe51x+OS5/NNTzCbq9eQuLy3A9XBQ8vBQtn0Nbm60SFP5LFNSFFYHgDF4DhsNayO4vdWX8vVHVdD/pqQPkl5773/9j+H9/aG+vhSALknJP/gHMe0cQAK7LUUwVwWfgAJAOwAUppyebSzWWCGD5bYsWlB7qj19BNwkiT0M2NiwLPI7AYIUyyhV9IQcDmYHWyyi4se8ckJsSHt9fjZlgc+A7R31HrAiRaDKf5P0SmAFYB1QU7V0oogGy1XZ283hTRGHJR5rZTXB9vr6pRKU53GUFNZFQB8FXXXmLAAYVQSQQghdtR8UABBCvcp+ewoN/h+yAisRajiFMMTNYGCvhSUZUMu9BRhRtODUkOy1r6/tPVKUjkYvk9QBZ9g2JxP7935vBe/Dg30fs8tZB0kSewjp1Zfs9VBwCKehL5mxSlhSeR8oP97mn7oAcouiMLBeBQ1VaylsdVjfL8aPVdddeL58r2egKVi2Shsj1y6AUMJ9mK+uJDHiACcM4KSiVpbrnvfHPez1zLLV7VpRsVzGWdzhGhbtth2gMlUiCXZsfz5bwA9jAgFKVYKpqqqzv6BSoopRNPBeIbqk+Huk6NBAwQMwQfJUsxyqKqsUSRKUSEiFCnAvCZtWS7q+tlYF2gweHqz1gGKTvRDgK0XQBNEEcAHMEOgUlG/f78uvVpZiy34S0mUdzhIUUO4ta4FnK0ls9m6WmYLFeqmGSHpvn+viwlSyWs1CnBYLs1aeTirSNIbspKmta8B5pdAv0/bZP0KLRrFclsVgGU7nfUz1JbeC/Z37XiWaIIukuKYkOwMgYKTYrsXPsKdW7e+4nNh7uB/YuRlvOBhE8g6CAODMswShydpjDB575X4f1WJ6sDl/+cySAa52284lLPyEsJJvkmXxfeOsImOFMxsbdlBJy30bl9t6bftimtrPtVrxtaR4NrPHYKev1ez9zGb28zxjv9gaw77BHl8lofhz6g6u+Xgc9272DCzOEBPdbiQhCGuFpES14mzCMcRewPXgOrJ3ssewR7x+ba8Z1MwykZ71CXlSdfVUBQZeFycQ4Jk2rDSNwWxhJna5XnDlVDMN+Bk+A8TQaBSzdOp1e03WKaAcBwZ7DwTcem3v+eLCFHLvDfgA2kN2QfJbv2U5Hmlqfcn7vanGWSaPo+V4tAA2WVuK73atz/bDB1MYRyMlj4+2Z4xGBpwgzwMx4/Z7U+GdJZ3r8dGs55uN/FdflWvM73ZKz2cVwQbu81xpp6PzaKT08bEMVvO1mvUXA8pCYGwSyNak37f3ejjE0aeDgfxgoOz+XsVgYOn0Dw92trRacnlus8IBj5eX1sOehCkV57Odu42GOd7yXEW9rtrdnU5ZZint7BHUN/W62elPJ+W1mgWlcQ8DcZpIcueziszGpxWHg3RzY2B3OjVAvt1aL3Wey7VaygMp7AIx5xE4tlsjQ0I6fFIUyiVpPrfr2uvZNV8ulbbbOr99W4oLRbstt1pZInsIFnbbrYHl81mFc3ZeDQZKjkcVp5Pcfm/E9nRq6vH1tdx+b69B8PKPP1pOwe2tKfMhsNbXamUuiQ/BkW4+N1X8eLRslFpNRRAuXDiX0+3WyJngcvOvX9t0GsnOv9XK1mStZmul0VASyBFNJrYGw0g7XVzYiLmrK3sPgVgog4Gpb8FHCG6z2YtATifJJ4m5SQiP/AK+/qgA/V/13v9D59z/2Hv/f/xjeYd/iK8vBaCPx2PNf+3XYh/x5aXZvNi4UVVRpgCkrdZLOxX/jyrB9xA0Q08dAIYv7F2otlI8YFutOHMVQARwhFmn2KgeevW6AbnLy8h8Y7WlWNhsYnGDckTB+sMPMZiLwxXV4XSKIF6Kn5WiNEnscCQECIs1/duwwqhDMPL9vh32IcyrVDphwelDRmnCyoh6DyivKjVVNhRARKEMkwcooZe7muoO0MaOF+ZzajDQcDzWnKKYPmGAfbdrzGBVceWe0zvYbMbRfBS6gANAAyFVrZb9fvrXa7XSMlyq5M2m/b8U2UqUVwig6tzfH36IRenlZVSoKACxqE6n8T0ztQByAIWTIp7PBTlULUylqEZTcKHKhv60smcYAEdAGMRWKNCL08kUxyQp16kPfdwlWcDaRXGnIFutXhJjoR/X93pyPJOo2KgvtZqBcskO2N3OksRxRBDQEiyvvtm0/jiAH2MJJQ2bTc0p4INlrCxomk0ryADegKxmM/byF0XsCwXQs7eQDM2+Evph/X4fA8aaTVNu89z2hGrRy7oPxZ+DTOFZHY2McW+3Lcym0bDvC7kIfjYrP0u59s7ncvZ6GXwmlXuF974caVYCqaDC+7COypF4eW7PDG6Unc2W9+H9JZAs2Pl5bQpwMgIALnwvwPPm5mUwaLCXltcUkMH1gBTgtQBt4fo4eofpM9ztbI1U71ulP9xvNuYIwNXi3Iv8iWG7rfmHD9FujBsHq/F4bPeTs+ziIoZ4QhCyx1YVScgL9ir2z6rDh2teBWrYnSEYfrGtCcIEonI0iqQLyjvX6OnJrjkqcppGpwpnB+s1SWLmCNeCcwrS8/nZfuftbSR+CfLEFcD+hTOANgXOA7I1gqumPOM50/ns9J6fz6bIB9BSnpGAEO9jdg3tIQB5yOOq24lJKkznWK+jqwGXAkQnM+XpZa8A5WG9rjnkJ/sLeyrXjbOV553vRcHu96PTAkKeAv35OZLt1bwQMksqPbflucvaI1MFsqPZtGfOirPY7oRgkCQRELCmub5Vtb4ajsr94Xfi0uMahBajkiC4vbXpI94b+fvTTwaq37yJz8lqpaQoDBCt1wbgTyf5iwsbXeacnbc3N9J/9V/Jtdu2DwYCCcu5g8ymdvTeLOkIBdutgepGQ/7nPzeLOo65APaS3EIjdXNjQWm7nYpwHjjnbPzV1ZWJNff3pnj70FbGmb7ZyK9Wqm+3Or1/r2y1UifPtSC4LdQ+PkmUHg46p6mFtN3emsvg4cFA/elkSnjYt3xQ+f3ppPTx0TJZDgdrM3JOyX6vc6OhbL9X/vhove7OyTUaOtbrckcL4vTOKfFeeWGtTm61Upamyt+/Vx7yXVyeWyBco6Ek7F8+tBUWl5dKQw1YTCZKQ795kiQqVquYGj+fm3JfqylfLg0sD4fmHpAsiM/7Eljnk4k5BTifOAeCUOOlMtvEzecWzPf6tbnqnp5U5LmSyUTFZqPkxx/t3BuPzSnQbKp2tNR5yA6PA+l0snP3dDIywXsD8pIRA+GZSPd75Sjvb97YXPRA1LnTSf7mxtqz8txql9lM6vWUdLum2P/0k/05+VOTiblDksTeL8RrrWZ1pPcaDgaaU2Ntt0aeHI9RmBoM5Fstewb6fX0pX3+W4v4n8HV5eanp3//7UT0pCjsgRiP7JwR6lKO/pFj8Y/2lUAc4Mrtzt7OfAahzMFfZJezfHJSASgolbFx5Hg9ebIzbbdyoOazyPFo2OfhRdlHCsHZjK0fRoOCASWe+Mqo94B91kU2Jn4EAAKiG1OqyoIG5ZI75dBoPyCqpwUzy5TKC234/hsgx0on3RUpk9fCmSKD4qgZJ8UWvIEUSoCj0wpYFRPUr9EhOTidNUYcocrFzQhg0Gvb3tDEQziTF+0XLAcU/wX8U+3ker3NVfUB5D+qiarWYOVCv2+9E0QIsAQp6vbgeptNIyAB+YDspqAmUI5W5Ou4HsIi1XLK/u7iQFOxWztlBBCFSBXBVq31VYeL3EPCECkuBRCFWbZdAsQuHsk9TaT63A5JnAhcH5FRV7T8eDSCHnmxfrxvQDr/Xh145PissMj3sDscK/Z48Yyhwx6OFxAGuKNBxDaB69fvWUx0KgZLs4N91G0PjQn+rD5/FQXw8P8fivdu1+wgA2u2iE6ESKudDP9+L1htsrGlqh2lIenf7vTHqy2XsC6/adVGrAEBVsOVCz3/1HgCcssyUhuPR7pn3dp0vLgz4V9pGypR/iqJqWjXqImpZ1fbLHt1ul1a9sogiLRxwkiQ2oglyln9X3SVJYs/M9bVZ1bdbFauVJe0Gcs1BTIa9zqNyBHLNF4VdD/YD/i3Fvu39XpNGQ9MssykAaVom9VKol8/T5WVUtI9Hu4f8Ge+b9Vbtn+YaQuJVQhZVFDELYjiMzp40jeQt4K/quGJMGm4NFGjOSBRznl0mFrTb0Z3BnsF+sFzGdYZrjDOEAhmygFYset7P59ivj52b9UDr0+NjJGNHo9jHD1kJ8YidPbgiShAJcF0uI1Bm32LNsk8/P0dCvkpGLJf2/ni+ms04khS1mfqDawsROx7bdQ4W+MlkYmcVLXmIClWQjiOQs4a1RL0DuUqmDe69btfe09NTJHyvrqLLYbstXUelRZ/9AXWbGoZRbdfXdo8gRsJoSxG6SCI7vd7sowgIrEv635lOQ53AfcCFBDEYFEVNp7HVIkwm8NfX5WhJXCJusZA/Hg3sNRpGsIZr69+9s2f8xx+l8VjpdCqf59aXe7IsECWJkXhFYf+P863XU/rjj7ZPLpc21/z6+kUoqN9u7b0VhSnDNzc26q1WU7Zc6hzOK717Z7b1+dzmcGeZ2a2zzJLOdzslx6PcbKYiTW0s2IcPUq2m0Vdf6fnuzoLuajWzUYfn1OW5itevY0Brt2vnQa1Wznh3p5PNJZ9OVd/vdWq1lJ5O8t2uqbqHg5J2W36xUH44KEtTI1U7HXMW0HoW3JLlGXs82uz1qyu50Ffvt1tl3tsIt1bLnE4h9d91OvKrlY00DQSe7/el41G1QGYWJwt1SwYDFauVhea12/LX12b/3+2MkE9TuedncyQMhwZ4AxmcHA7yrZYK2h/OZyWhjvd3dwaSv/rKzq77ewPB/b6ST5+MnL24sOvcaNj1LQp7D92uOTYgSwPB7GoWJFoEh0JSr1tGwOlkDq1QY/jLy/I11elYDkBwSOjurnQ51GYznYZDI6fCCGaPEERGBhkl9/elE9j1euYUkaQi5DP9xm/E2pqaqygseT700nuI5S/k64/Sg55J+suSftt7v/5jen9/qK8vCqD/+/9+VDKr4JYCu9czJr7Xi3Yz1KpGIwaWcXhR2MAQbbdR1RgO44GEHZDijD8HzHNgcaiTBA/YrSoNgEnswKiQ/Cyg6eYm2rhD4Vf24bLRYgMECKGkotbw/SiWEAoASJRfijxUdSzRMPCMP0PVdC727mNT4308PMTCgpAalDAUC7uhkRDgGrNBsMlhbwfwoPzyutiLIVawfVZC9SbNpqbff2/rQYp2TCyNfI67u9iLSOAgSmW1T45xS6hXEC3hkFKaxvE10j/ZFtBolKMsyr8HqJ/PEZxV1xMADBbzd3/X3i89jVhqu10rcAFgjKDq9eJ6px+XgKIAQv1kYpZf1L6glnvnrK8OQM51GY9t46YfTIqFIS0gzaYdcoDgANJ8t2sj1lgT3F+s4qiXkr1GUG6cFHMKsEfv95bsHp5P32jIt9sGjNptO+zWa/nFwmzrVYAIgVFdn+G1J72epsejXSfWSlB3XyTQn88GHCk8uX+AKUD04RD3H4pQQA2KIKos1lDWE68V2lB8t2ufkXUPaIAk2G5tZirgmD2E+8dacc6uy34f3QwoWZAIYf+gEEsgJmmrgRiqOk4g0kifxh2RJNGay9qvPh+08VRcSMXhYOsPsrIyV9s3GhZCSGtIdU/IMnsWqnOe1+uygCsIZsKBAEhJEgsB4h6ylgEpBOdsNmW/Kb3mRRgZdtnraYo7BnCBA4i1jYIenD7lvrHb2f4AQOFMAFRCkGG5lSKBzHlDEVad6oDLhWsovWwPAXigUPIsY6m/vIxuJ1Rl9k/C4oJzowxPDMnAWq/j/aNtq2qTZ2+FVOFZgxRH8f38Oe6zjYad9bWa7YVhhrEuLuyfw8G+n/qg07HfSfHMs8CaZEwkIJJ/6AMH6DPbnBqE8/pwiKFwXNPBINrCWSuHg10TPhtkRpZpkueafvpk9wYlvBoUKEVwy+/g80A0o1QTdAqxjBMKYgC7/34fnVm0z0B4sN4grVC3qWMI4+x0bArJ6WSAgPY29jba6haLOOKPc4Q9swIOyvUFicJaoB2FawGhMp1Gm3yoaZz3dm5st6YUhwyHJEnMaj4aGTj/8UcDlZ2Ogd8KgerDee28tz0/z60HvdGQ326V3N2paDaV7XbK3741xTO4DlM++2JhYWyTiYG6xcKI2vnclN5WS/762uzT87kBfcnI8kDeujxXvt0qnc3M+txoyD08WKJ6o6Hx8ajnPDdL/3ptvctJYlbqTsdcBd2u0jSVXy6Vd7tmfw/7nq/XVXt81Fmy9xRqYr9e2xlyOilfLpWlqYXCpTZ6y4V+9CTLTKlfLssRYj5JlI5G9pmPRyNQVysVqc1Kz/LcZqKnqa2d8Ny7m5uy7vOhZSn1Xrn38dlrNi0oLex17urKEub3e51DP7wLlv+k1bIAtdAi4vPc1O9Wy74vkIU+z5V+/KhiMpF/+9ba4TYbU6LPZ6WfPyvPMpv+URRyrZa1UDlnAkCzKecsod5TuyaJkTehvaKc9jEYKFmt5FYrCytkigx7PfvsV19Jq5XS2Uz5cKgkEI/+3Tu7bh8+GIn0/r2BaQixTkfu937P1nyayjmbhFI6XcN5NPFeU/YT9oh63USHUD+7T5+sB/3qSl/K1x8FoP+fJf2l8L//c0l/R9KlpP+HpL/tvd//kt/rf+vXlwLQnXNy/8l/YhtxNaimqvZh50VdvbyMijGseppGhZxikcMLywuFB/3XgcUrlY5uN4aSPT9HBZV/ADRpagcToWsczNj9ABmAhmoPpmSf9fLSXgPHAEAduzpAi746yX7vdBqLH+z1PIhZFouoNI1hLFiRUQMuL+MBjcX66uolGKBXlqIeSyKsOgo0wIvkW9RIeuMI4UJdQTmigK8qPihLqApYTQEfQW0sg+lQNvZ7K+boswUQorCs13GONeo1vfmo6nyeZtO+B+styiH3p6qiV8kYFK5aLTKd1V5LVPyisPXHfYP0qNftHtRqdi1R1VEi+R7GSNEziT1xMIipxfTsw6DyvgF0AIRu1xjVquIW2H01GgbC2fxDlkMJzE8nK1CwfeLcCOvEt9sGbrEnh7VZ9PtmSQvPiQ826+RsATXyvkx094HpTUIvXwmeq4nIvDYHEcUoBEk4kMr9oapcAYJZm6iQWKCxujpnn5sQyGAdezFW6XiMoYr0LbO+Wy17xgBguFtaLQvMabftOqOcHY9WRG63Vmi0WqZsMIsY0M19x1KMCwhyDYINd0x47orwzCXca4pq+rBrNStmazX5x0f7vYeDFSMoXhUCwSeJ3euqOohyj1WcHmoUjW7Xfg+fnb2SZxGCFUAkRWKKlqKQ6+HD/XSoWkFp8tutpcWjSpNnALCDJMRxwxoYDGweu7dxeCJ0yA4sK5IBIadTBJ+8Z4iJag816iiKJAo22QmAU/Ztzhz2c4i43S7a2zm36InHGVN1RkAc8WwHcCEptlqdz7Y/MdYTJxKuItYdhSJ7HWRyaBEo9+fRKCrNkFMAf84WwNnhEFsB7u5iwFynY2BwNLK189u/bb9zPDZV0nsD6rhRyGOo1yMQ5IygBYVRrgD4arsHziZa3QCV+70RBkkS3QjsOZC+uNl4ztgTqkQBLrxPn+x76dPnZznLqAE4ewCHkEK4DAD4ZAJwHZrNeL5//Bgn11RH4jn3kkyG5KP+IfTscIjnxdu39jqQI+/e2XV6eLCfC/bakpRk/4Ukwv2FBb96Xzqd2MPOHsYaxrklmUK6XNp+s1goOZ+VX17Glr2bGwt0+93fle/1LDxrv49q4fmsNMuUB+LISfLY3FstuR9/tFBUycjZd+/MKbXZWNvUbGZZGMejcsZjLZc26qwoTPX1XvntrZIsU7Fey336ZP3r4Xq4ZtOU2ePReqtPJ52//VbJdKp0tdIpuBeTALCT7VappHOvZ0Cw27W+75ON6MpWKwOT7baSQLxru1VxPluQ5mAgzefWp50kyrZbnet1JZuNkmMIB/WWjs/5mdZqOmaZZXys1/Y+Qi1YhIkNDofjbmcjQ7tduyeHg/LLS/lezwLrhkNrXyMvIdQ/hWQK/3ZrxMjxqGK3M7dUcCU6721MXLNpYPrpyVLa81x+v1d6Oik/HpUmifIwrjM5HpXu9zpmmdK7O0uR//nPrc2AnIrRyIiU+dxGr/X7Sp3TOU1tnYaEdMez6FzZ31602wbMj0clWabEe0ukT1PLZwm1e9HryYXsBLXbRmQHR0D68aO1CvR6BpR7PSXX1+Yg+PRJarWUhwlRrtdTEfZ+99NP5gKoEoUQm87JPT0ZSdTtxhpjszHLfqulotVSslwqmc+VB5t76Wz6Ar7+KAD9dyT9iqSfS/rPJf3rkv4LSf9TSQ3v/b/+y3+7//SvLwWg93o9bf7D/9D+B2YeVRT7NYUJxVa/H3t+QyJnaTFEiUDVxP7OQYPKVO1dJB0W9SNNXwa98Q9FNBbn49EOpmCfLZVPem2rRQnvLQQ5lSA82DPLz0HvIKox1sJqEddsxpCYKkuGIthsxmKBkDwAMMx89ToSsDIaWTECg5/nEQRKMckdJp+iOt7M2P/IQcsm4H0cH1S1JGKRBRhBolSBOiCX+5mm6gyH2gQbkLyPNt37+xioBVBApQoBLLq/j8pBrxdTZrkuFIhVJbP6mfPcfo7rSxHKGqgSSgBC3g9WZcin6uiwKjEzmdjrfPgQ5xhjbUQ16vejTZNALpSbhwe7NuNxvJe8LiQKwARFl2vFYY0CTsHOc0VRj8Ol2YyAHMcFAKPZtF6q7dZGhSRJqZh7gHNRGCDMMgNW3a6Fw4Sip7TCAiyqKjaAnGuObQviB3IjtLV0JG3otS8KY5Wdsx42+iZZC4OBgdTw/KLml73b5BKQhcDn7/djWCHrmzaRft9U3uPR+vghA6R/sm8YwAqw5/UhiGhFGAxs5vp4bKAbwEQqeJZZzyFWXu/jfUClzbKSkPCrlRWDUlRYIcwAPaxXKe5z2KQDUerD65OOrHrdZsuy51Rs9+WzMRhEBX0+L50MvlZTArFGK8rjY3Q5sTbZN7ENA3QA+zhrsCmHz+jZX+p1Kz4BYpIp642Geu22Nij3rCHs4xCt1fBL/r6at9BsRtWb3lTIERRd9maUcs4cCE72MRRwnmNcSoBr9vvqc43t+Hw2sHg+vxy71WzaGQCIglhmzZGwjnsM+3KnE89qHCqNhp1tOLogAVl3EKoksPf7Bvzu7yPxDnH5+rW9p9/6Lfu7ft/Cv9pt2+ceH+M+OplElRoVv7IflWuGGgPgQGDbaBTBKUTedmuvy9799BT3oVbLSAb2PVowwn7c6fW0gSSCvPjwIY6Ao9+e+wIBxr6L6kwNAdGMYg6Ry4gursP1tX2uh4f42ehL59nDOstnBEjhPIQsCHZujUamAN7d2d9fXtp9/vTJ9vTXr82K/PQUE/YDyCprLCz2iBdcNxw2/Az7nnNSAH9FAHW+3TZgt9nYv9+/t/v1+bMBm0A6+CwzAjq1MZvM1vbhmUpqNbPJf/+9zqORsuVSfjJRMRiUSeW+KOTv7y0xvGZp6qrXbfwaZ8f5bP3RV1e2t6/XSh8eTEk9HFQMhxZW5pwp1CGRu/j2W2W/93vyztk87fCMJ3mu5umkTZ4r6fXMcg3JF5K/XXCKJvW69RRvNnbGrlbKTiflkoH70Uhar5XKgvOKzcauSZKYWtzplFZthSwZH/rnaYUr+n2lvZ4Rx+ezEgBrcET549F+96tX5nDwXi60viSHgwHCzUZJIJb8fm/z4tttFeF5cWkqd3OjvNOx/d97cy+s10r2exXX10q3W+XbrXxRKDscbETbYFDWjS6QH/rxR1sXX31lgWvPz6Uw4z58sHWAiNHpyK1WpuaPRjZTPLTOuCSxvvA0VZqmyrGu+5A+z/728GAJ9aFFNCkKu9etlrnerq6MJLq7M0v68ajk/l7Fu3dGKj0+ym+3trbIvKCW++EHe56YCEXNyh7hvT3jYbJAp9+32jhJbHxgqGOT+3tT6EOdVFxcRPHvC/j6owD0/4/3/q+G//4N7/2fD//tJP3n3vt/4Y/jDf/Tvr4UgH55eanpf/QfvQgXKvtwSVPHJkyfVJU1pwcL6/pyGQt2FAiAvxQPXgr5at8UoA0b5/kcVXsUIiyXFORBXZJzsRiRXgZ9AR6kCOY4oA4Hew98FkZwkWRfVWmrSmCzGS2OkBP0vaLMEuKz3cZDj6Kd4goVnFRfAnyY8S7Zz1aty4CNwSAWoKEf5kUae1UppscQSxuHNz2LFNgoCRzQ2G7p8w8kxeT6WlPsfthCCbNhBi6EAJZ+ii+UvIeHWMxQdJLmWZ05zjpBFQgbbdWuXX5+7M4QJlIsuFhrKK/9flQNSKunWIFogQB6erLfSfELycGa4ZrxmSWzV7Xb5WFc2q2xd7fb1qPO+4DgQWmSShWptDJj50Iho82CQhJgTLpvKHBcp2PW+kA0JYH88u22Jc2HZ70cVwIgAfBAPtDXCrDzPtqnAdCFhdq48P59vV6GAU1evdJTGDPlUL1CEVj2eZ9Cej3gTorp4PN5DOrintK3CoECsYa1u9FQIZVhQi6obB6FvCjs9aU4IgZwJJVAs+wdh6ChLYM+T57DQCr5RsN6LLF18968t+vDM4WFGqW3GiwVvr9oNk1RAaBXnUJhvZd2P56HLJMP8259sBsmuI5o7whTJDx97wFkF+HvkySMR/Ne7u4uhoCGPdUH+2G5L0qRFONZCgSlXyyMRApgykNQhmKzBAO0cECWHY/yp5Mu6nVNp1P7+1bL7iOtRSgvEAeEXaKUc26xx6VpdCv1+/acU6BD0kh2L3iWQtFYEppFYYWn93E0GusZYpbnAjIIghel/3iMqihn4mwWwfUv7mVce2z1ZFTgnuGsxm0GyXlxEUmd6jkKqYLzKThG9Pq13YtPn+I5NR7bnzeb1g70/ff2nt69Mzvtem2fBYKYYE6ca6jVEIusY9Y0RS/kKWNFCcbj+5tNey/0xVcJEcAbZ0FRaFKrWQ86RBjP2uvXpnI/Ptr3MyWE+gbSlFYN6hFIU9xTjAAN/aylkwBXAwGwEFqc6VdXsZaBKEEUWa1sj+r3be+ErCBDp922MF/qj6rFfr22zzYY2PeG2eDluqzXY21XFLF9CjKKffzVKyNrZjPb9zYbKcypTvLcxmXhRPzxx/JsdJC79boc9m3OsmbTxrCFZ8EH14YL4PxM299uJx8UR93f2+iyiwulFxcqtltli4XOMit1cj6rmExUNJtmTZ5OLeE8SWw2eK9n88Il+fncLOPv3lnP/MeP9j5aLVP7wx5a7PeWXXA8Ks0yU929TWXJ9nudQzuBb7WUtNs2/q1WswRw55TmufJ22wiFw8HOwuPR9uckMdIh2KSpwZJ63Wzw87mKVksZUw1GI+WSuQBCreyds17pzUbFeq1kNDK79XRq489CHZ1kmY0eC66KlB72UAcSDlcER4mv15WtVmY7zzKlz8/W3tZsKgv7W3E8mopMD3kgCBJJxXyudDpVMRyqePvWWguORwtKO52UPD2pCGqy2m1bI7OZufd6vTKF3oX2mCS0DiT7vX3WTqck0Xyvp+zhQXlo71OnI9fvWyhsq2XnXb1upMVqpWQ+t7T42czOxPfv7Xl6eDAH2M2NAfQss2tbFOYcCkKDS1Ozu1OnZVl0UU0m9oz1epqkqaZ5bsR9s2nJ9s/P5rI4nYxUkcyCzznzBXz9UQD6J0n/a0n/X0n/e+/9f6/yd/9v7/0//8t9q//tX18UQP/7fz+OiAIIo3oABGazqKJSIBAeRyFM0m2vFxcuRdB8bocIhTQHE9ZlmHQsbqS6ksrKgU8qL2oCBzxFCQw4tkwAJMorll96/qSomCVJPCSxwKWpfXZIBQoEwIP3cXQYCiBgvqraVwNqAL4UehR29KjRdyfZ/19eRht/tXceZhwGnkKKogYliM/PYUzhu17H90RBKUV1g944CkTIh1pNk3pdU4pPbLQhzERPT/b/tDrQY09vJyAe4H842CbJpudcVGFQMKW4HlGxUYFYa7QBtFq23lAgpLjGAD8okoBrsgyce9nziFrIjOXlMvYYSvF7yBlg3fFsVB0AzaaBNljv9doOAZwYUnQBSLGQrfZO8/6rqkgIJfTeR9Y9KHZeMqBzsnncL1Lmt9syCbUEWqiaqPqsHQp6SBOCDvmH9wnI4neFNge/2cjN5xYuSC4DveeAea5luLZFmip5eorqkVQm2ZfFO/eJ61a1fwdHgAvXy282phywD1TbU6oEDSp3CB90FM+SkQhHGy9XWvADMeBbLRvvgo2Yggpi4HyORTAggWKYormiNPpWqyygSos8ZCNrI8/LpHMv2exYQFB4PhwEIWE3AZh57y1V+XSydotm09YKe0Fwl3gANEpYuH5Oiqo9bUSA2Oqse7InBoNyHrCKIq5V1gnkUlFE9fJ8tuva6WhSFJricgBEA5SwBy+XLydm0HvMe8CmX23L4n612wY26MHl/kEKEqJFK1PVNVXNRanX499DzOK+wpkBWMSiDSn9+PgSLFft7+wnEMuA9eMxpt2jknN+Vglqzt9qbzxtVVwHRoPyM69f2/W4u4tuqV7PLNf1ul3P3/kde63rawN1rZYp1GRT4LTD0s7a5b0BmvnCccUZxp5H64wUz3IIdYApJAh71OlkPeicSbQd0W6RZfYZV6tof+/37bN4H/f5Ws3+nPYaSGXaCJyL5AVgtd8vJ0mU9Uu/b9eMMEbOIM5Cri8kLmuTdhkI5cPB1grW8mYzklKjURwLijvwdIokP64dCClqOeoI1mYgmt3xWLoq/WRiI8rS1IBPmsp9/718v28Ad7czIBPantz5bGCSZ41MjDyX++EH+97wWf3FhY0kKwqbtf3xo4WMOac8hBUm2631Pee5BZRJFuSVJJbj8dNPpkDn1jteNBpGFpxOco+PSup15V99Ja3Xyh4fde50rK/bOQOtj4+qOad8PLb0//VaeVEo7fWU1+vKNhu541GnTkdpu11O8ShOJ6VBGc/DnlfkubLjUeeiMDt7cH5loW4sDgdrWWq1yiwSt9+raDSUHQ7KWy3r9c5s1rY7nZTvdkqaTSMD5nNTjScT+7ynkyXwB/LcNZtKjkedN5tIuCeJkixTvlrJJYmRG5eXpjrvdnKnk4qapdVnT086hek2yXZro8wCOeDCtIlivTYl+3hUcndn9+T1a+WDgdLFwojeTseIkVDjFp2OjeI7ny1zZDIx63q4n2o2bW17G7uZzGbmLmi1TLW/vrYz8cMHW1cXFwbMw17sQkierq5sjT88GHHT7ar28aMFFY7HyhcLm18+Glkaf5hu5NttuU+fbGwe9VxoJ/K1ml3LWs0s7dVMk1DzT779VtPTydoywmg+gjB9u21rPvxTTvH4Ar7+KAD9X5P1oP9lSX9B0r2k35D0m5L+Z977d7/8t/tP//pSAHq9Xtf5P/vPYs8tKiWMK8UFzHQ1ICsUWozDKIsjgAogkHA1wuUAjhQVFFmMywJoLRYvx49hZcVaSPGD5RD1gqJFsgeLoinPI7ClsKI/q2rJlKJqSxEQDiZNp/G1sU5LL/vwIDRg9jnksftisYSAoOhCCSmKqNABBlEKseBwvSk2pRgwRQGBagO5Qr9stZ97OIyEAACZ4pjXpV8XkL7fK3NOZ0iNZvNl8jUAcDaz1632sWJvJL2XYgwlEuUH1Yn7j+J0PpfW5xK0UlBi76+6QA4H+11VQoTPzb3G7so6YX3Q313tpcRpURRWtHK/KHpR2AcDC01phPTQJDGVEuWCIMU0taAXKRbY4bP5NLX51lIkF+jZPVmQSkIGQJpaEA/962ka+4uLouwb9Pu9ASPn7P3weti3G43o5OB+A3gosPnCGs3ao6cyEDz+7s5C60JB6IdD1ZpNnbG6Zlnsl2St0uMOGCXxut2O/aFStGeG59o3Gqby4HIJAMZvtwZQeb65zlisUZNrNesV496GgrloNm1e7vFYWimxnBdJoiTM7i2ORysmUSghBgF3qJSSuRiSxBSZPLf1kaYGyGVKP204kC7e+zgGLxSVkBw+z81aGPZjfzwa0IbUgwRMUxWPj2bt73SMAOG6Vvu2Ic3COiny3GbZU0xwH3DsnC0sqsw8CCRn0Wxar3h4//5swUfq9azIY68OipIL5J8PLQhcF4Xgolq3a3ZRyVoGIGixjd/dxf5wrODsb4Sd0SZEjgJAtGr/JbNgMol7IORKmsbfR3+yFB1d7Mn0KgPWAYN5Hh0vPEM8YwCpp6dI9tKmgzOKcxflZb+P5DO91eylp1Pc03hu9vsIFH8xN4I9v6qoc7bd3NietlrFULlGw84i5oB/952dV52O2bCHQ7seHz/GPBV6trG+J0l0euEo4fogCPD5quQR4BaSajyObgemzQTwk/X7OgO2AcaNRjwvuQfX1/aaz8+2lhAEfjFjABK9mqBOHUPP/HBotcJ0Gs9GxIRGw9YWbSYQhfV67Eml1QfiimtAawM1jvdxRvx4bL+X18TBF0abKYwEK3NSOGvYM6ukMs7I+dycM0wUCBZ0Et7dYmHfG85JT40T6sb0dFIeahJ3PMr3+0rv7uTu75VfXtreXK9bEGQeAjg3GxUfP8pJSlstm5l9PqsIAZEuSSyPBXEiSZRuNkofH3X0vlTU0+3W1Pvl0txBo5H827fSTz9ZC1AgJH0Aqu752ULfmk3lRaHa4aBzq1WSsknYjxUU4Gy10jnPbRZ66EVP2m1TnIvCzlZcWM4pPZ+VO2cK+/Fo3+ec9TVvtzbT+3y2vX04VCIpV7CeB3LZdTp2zhwO1l/e7xv53e/bzHPvLTOmsFGhGQD9fLbPutspPZ1UFIW5BW5uTH1eLuP3cBZcXBj5sNsZsbDdKm80LBUdQt85m6Zyf28hoa9fm6Wd2r3VkmO0XZbJX16aY+/+Xi5JLMOg0ZBbrWxm+nJpKvxwaCA7zBCnjtGrV/KzmWWzDAaWxk7LSLMZ66Y3b0rHh9LUruliUbaMuU+fbL1eXEivX5fOOF+vS7/5mwbo+30lSaI8TJQphRFqw4sLm+iC+zUQrtnFhc7hGXOSEVS9XmwxDOdxQVvZF/L1Sxuz5px7owjY/5L3/n/yy3mLf/CvLwWgN5tNHf/T/9SYb+yBnz9HBQhbHOAVVpjCoCjiwY2FmzFjjL8gYRfLFwrL87M9MFj+UCwoTmB0KWbY/Bm/stmUgRJlsUSgTrX3FFCPpRNQy0EvxZ5fioSqykXYGsE5/b69x+qMYOzTVQsdBxcW8CSJc9EBj7DkXE/UG4iDRiP2MT8/x4CfwcBshY1G7IenrSCw15Ii4QIJwnWlcOTvIUsIc8MyiDOBYjMUrfVmU0dUHJwIqJdYsLFfTqd2KLKesO7v9yVT+kL9RomvkhcAcl6TIrKqmHIPcFhg4WPGOWGAfA9WRMYm4ZC4vo49+nxvNT0asML6XCzsc3DtsQNKMW0Y2zWKMSo5bpVQ+LORK8uiqlIluZyLdvcAEjUcylFshGLcnU7GuleIAJ+mL2dqowLtdhGsUrAByAGCFRLJB/DhpNjzfDzG0UoU37SBwC4XherO6Ughy36Bak9RjiIEucXeA+CFEOl0TF1FKVytrFjZ742J996sbAouAp6fsI/4fl/u9jb+jkqbh88ys/zTh8m9CyF7SlP7XTxTOBrqlnjvqk6b0KvuZYd1wmHe7ZoSwl4EMJai6wI1KwD4UmUOe5vLc1M2YON59oPbxe92tgaCa6loNs0OeTgYWfT4GAkSiMCisKJ0MLDPKsXnibV4OEQLP/Zh2oawtTpn96bTsWIOwjL8naS4tiAEpKg4BpDgvZfLMtWLQkd62HE0YTOuWpsfHqLiiQpNnyR7ABZ/wh7X66iukkVCXzFjg3A/cG/CfS2dA+yXztl+AeiCrJEi2cd+ibWd+95oxGTfxcI+y3odQS3fT4ApABG7P+6J6v5BIj8/Q/sQQB0AyrkN+ENRh3iRIpHgvdmf6b3HYcQ+++GDXbPr6/h57u9jnsfVVbw2AGTOE1TW/x97f9IbS7Kt6cHLvIm+YwSD3F125966pSpA+rX6A5oUoGENBGgqQNJEAkr6qnSbc06ebHbHLhhsgtG6m32D1x43570/IJFAEkhk5t5kMMLd3Gytt1v8TppU9o24ppo9laKZWgRF1/W1mZl1isKO7HUw0wCHeZ7OYz4nrNhmo3OrrRBkb8PS1u8nUIvrjtqIfJuqUsN/OmktAYQUhf4fYKit2lgs0v0zS8pD5P4oIk6nBA6xl3a7jXXF9ns9GyGk0XkfPqQzFnsO4OxwmFSLUe3nlksx4YeDhTdvzMZjc58+ieHs9y1br9UQTiZqSLiucb/OHh/VxHhv7uefNebq7VsxwHEPt0ohpe7TJ+3jZammKU5PyVcrq7LMnHOWPz1ZHSc7WJbpZw4Hy8rS6v1ead4vLwo5vb2VZeqbb8wPh9b56SerqkrBYKUSzd3jo3JOaMSqyrKqsuztWzshKW+dG1mvZ369tizLLFuvrTazwszq0Uj7++GgPbmu5YOOaqFsv7dYyVrW75uPAGi52dix1Bg3Gw4FrJ9OFvJcCepVZWUIVkXrpe92rZxMzMe9qJ7P5dXvdpUwv92qEd9uG5//Kc8lJR8M5I8fDtWce29ut9M9mc+VuO+9ZcOhwIj9XuPgTifz06n5xcKymELvj0cxzYeDZf2+neJz7o7HJvCy2GzM17XVw6Ea2sPB8ocHq87OLIsTJ7yZGPxPn6RAmEwsX63MPT1pBvt+b+HiQjXOTz/pfImTdbJ4xnsUU5eXqk+en6Vy63YtQCS+fStAKeaHhLdvzRYLAQezmZj2GBIXsGmxlwDQtsMW61oAxOOj1Hbzuflez3qbjR2p951T6n20yIUQFMQXghQbw6H9Xr7+mIP+G3wtl0tb/Y//Y5N2aN9/n0LcPn/WYoZFwHdK8Y0Ui8Z4MHjNYLeL/rOz5IMjyKYtYadRosCkMby6Sr8rIqeNj8osebyRteF/RrYFewqjXFVpNvJwmAoC2AqadCSlSAAnEx3cFLJv3+rzVJUOvu1Wr8vnRwLffsgpzClykcfDVFZVChwye/3+vE/vGTnf6ZSQ8YuL5MfnsKeYg/1uSzo5yNsyaQ59CgHuE83xy0sTYrP45htbPTy8Tj5GikwBZZZm1w4G+ly//JIAFg5g51LoDfJs0EVYOhBSvHLtwi6mcTesEoUyYEs8qBrmoyiS75BU5n4/+RopbLBKIKXl3rfD+fD7m70uWp1L9gPUGiCvNG+xSQh5Lhl12xcLYGT2ujnw3sKbNyqGylKHS5SmNfcfRgdpHAUkzR4gGuuOQpP7jGQZNjHej0DDVVUpeRiAhQJvPG6eeeajN5/lcLDF8SiZMs8IzEzbqwu4Zib/OjLwXs9CTCsODw/yJ0bG0jsnhsNMRVunk9hsGsfp1OyHHwRwwCBFBjbk+etxePGah+iTs7LUuqUBwncdU/7Dft/M9H0V4haCiqB2AUwjElH2MBrp/sPsxWco9HqN2sGbqVjO88bb37C0ZqlpP2kmbtvq4OdzMzOlCjO6q641ai2uldDpNB5uV1X6PpRRqKnYm2EfWSNIhp1GCLoIUjYBUTStMNX7vdYG64+1ENdBKApd87a9Yr3WHHQabqTY7eBIAs1gBL9+TaAyDCo5HIQLlmVirtlXuU9PT2kE0bt32stoirnuZq/zTQAgUJ5dX6eGnL0LJpY9gsYMoJH9n0kA2Gpgf1krPKuA2ONxAlLaQZLMPWftxsamOdtQKKEa45oDLAPqkkrPe5jPUz4HoC7WJVj7yFY2AagAIATk8fwjY+ccZO2x9wFOoQ6gYQI4pD5BKUWyuXPac1DlAApw3QhzBGDivfd6yYISfdBW1ylkjrXMuTmfpwDEtvosFvGNZevTJ71/LEIAwMvla3UfTT5TT04n/S6UApyVAAF8bn6WPYz1vtslyx7TegBC2c9RTcH4x+c+iwBqePdOYNnNTTNK0SO5RvUSf945J1nydivbz8OD5R8/WjUYWDYcmtturR6PJZWPdg73t78piC2qBR3N/cODZoPHui7E/B1X12Y//mhFniuVG+YYNdHDg2WDgflvvjG/21keg8vqyUSJ61WlZyqCeXjPw2hkxXRq027X1qtV01TVi4W5OMbLQhCrzZoCeI82CzzmFsH08vnZ6niOZXVtVb8v7/ZeI9Ey7+XTjmq34FwDEDuzZqpIdnamEXJ1retaluZPpyYYLXt6Uije83OTDu82G8sOB6sGA8t3O3Pv3lk1HssugL1tNNJ4OyTtz88Cf08n81lmbrEQARBtO9ndnWU3N1YVhe7NYmH505OFbtf8+bllq5XCBEMwN5sp9G+91tnFaz0+qv6pKo2si0rN/NMnAbyE4s1mlr+8WLi50XSA5VJ1j/cafedjPsAPPwhQ2G6tfHy042wmUKLXE9NO8CXEYexfQlma+/VXPQNRoWWDgXzs3kuJ1+lYtlqp/qD/4ZmLoYZZfEYX87mtbm70/qPNw6IyIWSZsnCKmPiPjfR38PVHg/4bfC2XS1v9p//0OsSqKIT8Lhb67/v7xNJyiNBIUVjDTNMkMI+VZpkDBWb57CxJDM0Su4v8FWZ0OtX7urpKjDn+PIrhySQ1NqdTavSHw4Qqv7y8nocMq07jDbOKl5VCgT+LSKqVZQojennR58fnxQxUCsJ2g2CWmFwaL7MkyQbdpxCmOPQ+MWN8FuTvsBVIlGczASyAIBz2fAaKa4pmgIh2Uw2b1mbhT6dUyES7waKubRXR6obNYDwaHjs+E6zyYqH7nmVq7L58SQzA+bmuG6E2MI9I6GkMHx8TQ0izUxSpwIXpAJhA6okqASa6308qinaS+/l58otmWZKwtoMOAY9IATZLqcn9fiqQHx4SOAJYExuLRpKNLYPCGoaGTZ0C+/xcmz1F4cuLUlwPB8tYM2WZpK7/Sl73KvioDaDA0sLsUbzCJpq9SsL2p5MaY9h1XoP/pwlhr2AiRHyuFpeXClDBVw9zCrvqXEq7LgolfEc5uttsUuARBSyS/l5Phz9ZDkhJv/9eDd9up/vM/eN3oZKgiYRdD0ENO80fKh6ebQqzPNcoIACUEFJTMRqpoHh+1qxVWCkYR9hw/oEBjg1YgKEyS/ttLNyaPdAspaLD6EZ1QCPtpNFBzp9lAgViAWH7vbnb2yS5ZW+guKdhRU4cG6aAZG881rWnkYfV5ZyIYGFATtrrJSaw15P/cji0jLyK7TZNtvBewUHjsZ1PJraC7QNUAwhGsYIPl3GIgLow7d1umv4wGKSxZ7wmzzZ/xtnCGEvkvaNRela59/w/QCb7AWooGkGeQYA49g72YYAizh+ky1mmPZMgSgBVrjkAM6/H5wDwQu7eluGbpbMFwJbvQ2KKxD5aaRobF58FGxLz5tkPzdIoottbnVVMsmD/+fw5ncXt5p5nAkUcjDMgIyo+QBYaTexw2MgGA1t8910Cdtoz2c3S62VZyn1Bxu6crjtKqfVan2O3S1J9ppewj/N520D54ZA+03yesky4tvjUsyypGQC+2OuGQzXxnPkkTANA87PULdQsnHk8C4AteOFZFyhMHh70/dgVGe93fq7Z2Y+PVo/HkjVHgCVkGvvV2G4iq+4jC+4+fza3WsnnG60rYTIRmNrpyLu8Wpmfz9Voxakz4dMnNfzTabI9LRYK8Lq6kiQ9Njw2GqnpN9Pv9t7yxcLCxYX5r1+TTD+CoeH5Wcx/bMhCCJYfDlbH2d92PNrCe3s4HMwPhxa6XcufnsydTrJo7XaWZxpv6TsdBZJFDzVNtnPOajPtw/2+Zc6pSS9LsdAhhoV2uxq3+vwsi0BVKVgsKpo8Z8/Zmc7fSHjlVWVVnL3uHx8t85q64qNNwZVKDme0qjcz++Yby82sPp30++KYPLfZSNJtZj7W6m67VZjbxYXYfeqpOPozhGDZcqlJLI+PYte7XQXV7eL4t+XSXLebrv94rCa/qiQvv7tTTspopLF8ESRwZpb3ehYmE6tjOKmbTuV9N2vsfOH5Wc9F7CeyhwdJ48/PLf/ypbFHAMSE5VLfDynA5AFqGDJuIG8i+Jq9vGjE3elkDpKs39f6Go00McBpdOp8sbBb76WgsGhRyLJmtJ3F2sJjA/6dfP3RoP8GX8Ph0Hb/6T8ltJZGhmYWjxnMGEEqHACMZ2GhIR28vU3NN2zW4ZDk5+2HgWKEhh1vmVli8GiKf/1VaHaUzDQHGKwksnKKb9h271OSLyFrZokR6PfTfG4OW95HWwJKsRVCQsUpfi8uEsuOL4zRZxTRoNMU4zTDBObBsLSLjru75M+HVYZNWS5T8u3jow5YguU+fEivy2chCA6JNhJqigpSasvy38qK8Tvf3Vk/z20XQiqeQPa5DwS8IXumyIEZXy6TnA6vHgAAKOX1dSryWQ8UITDabVaEwjaE5ANHvoh9g+KHNQe7SlMNAxJnujaFnPepaCJtHlaD60ezh2w0ougO+R4Fl3NpDVLUH4+NFDaMx1pLNJ4vL+bwVbYY+NDt6hCnCQFcC+F1IXo46P7whUUghBTeFItf34kzV9up8rBxNIdYTTodSfJh2ljnZq8ZcpoY763vnO24R6wzQAJSqGH27u8lI6fwj16ukMU52FEaaWZJQvz+vVh3Gi0kvgBdeUwe57nmmWz7sAEyuH7xkG7YfK4Ln6OtiCgKJaZvNprbe1BSvkOCHfcK773YazMF6UQwzPX7uq/HY2p6WSORHfMhyM9Z15LLOaeGu65TgR2ZkdDtqmjq98UUDIcW4nPp7u+T3Jn9nyYWtjJe18D+3u+rQK5r3RfuIQGLKCBOJ62N4VDPAPt0BHXCfC5P3tOT1g+jqGLzGqJc2sX9OQwGNphObRsljXY6pSYeZvvxUc9Vt5tUOtNpAuxQ0tAgcw6xdwAmtUNMCVdiD1mvk+omBiU1zTVWIpq+3U7AdmTYGsb24UF/RoYJ67DN7KKAQr0D002o5d2d/kHJQsFpls4Q7EQ06oAYnJNInLGzcMbhdYfhqWvtzzwjAJMEdrIfIBeHweXZQSqPPa09D5n9gVDP9utxZnBuATzy7JVlkoyj5AG4bvmq+9ut7TgrUZG11yvPNKqQ9pQK1AYAyJ2O1gA2QM5zvo+9HZadugeigrOX0W7HY5L9T6evr1uWJSAEgBXyZDJJjcVslpQFnNPs8+2z/3RKIB/WFdKn20nyqB8AWwaDJvkadQMTN5jHHfp97bmdjrm7OwWPbbfmPn/WVJA4jtA5p4yJstSf//yzGtcoA8ZD7375xeqzM8vy3PLbW6umUwtnZ5Z1OuZ+/FHMfbTSNAz06WTu4UFs5/m5Gse//EXN5MWF+eHQMhfnVZspNGy3syqy73WU8rvNxoL31uv37dDrJYDYOcuenzX7u9ORt95MzWNVNSBtXRRWdDrm7+9l8+l0BELmuRr1hwerskzA63hsLs8tPxzs1OlYcTopJT3K4/OYj+Py3Ooss2w4lPLg5cXC+/f63YBUNzdqfGczNa6Hg7nBwLLNRtdiuZTHHdD58tJcHP3lBgPLdjuBAVVlxX5v/uJCoGoEh91qZXZ7a1mmzJB6sZCKr64Frnhv+d2due3WqvNzzanfbAQa4DXfblP+yd2d9vrx2LKrK8seH62+vBRrfXYm0OTXX833egJSzs6kWpjNlN5/OFj9D/8g5Vxdq16M+3R4eVFg6nqtNYedZLmUDaAo9PzwvHEGU1+/vJgfDCyj7gbEK0utscVCM+HNdP2zTLVYv2+99+9tt1qpPor1vQuhAf1DtBeFuk52z9/B1x8N+m/wlee5hf/lf0nSKBhLNnFkT+NxOuDwXSFPbxfm83kqeGnyXl7SAVCWyXsM64k0fDJJzTBBJxRW7QLg4kLFyd/+pgPu4iLNN2c+LQ2U2b9l5RhVcjwmlpoitdtNnxPJGEwqzSoFE155ZOYUp8OhGjznEoMB24sksyjSIQ2TAlgAE8U9GY30IN/cJB8t0nBUDygB8jzNsTVTYfHmjYqhtrQe6SpAB41Me9Y1jCLMPpK8bleyq6cnvZ9eL8nh8zzNf6XAo5hgHB3sIdI/PJ43N/qe9TrJ/qI8rmE/ka3TmNMgtdnXtlSSzzCf6xrwXmlC26/VlvEjAUftoYdF/6bYIQug29XP3Nykoi0Wmn42S7Ox8QLDsoUgBnM4tLBYWMY4wcgg+qpSs3w6pZ9D2XA8NuNBmnwBRhRyX9tsXGTZQ2SvXJvFg11Cjr3dJmkv97HVjPgQmnFd4elJRRrFJMwYxe/hoOYxKjecmUJoyI0YDiX12m5VAGw2idmx2MiZpUCnNuuO7zo2nY5n9uVFEkCkuHmugoA9invN/yMPp9kEvIgNU+h2VZy2G1AO9UqhPmG3kxS0qtTEjseSILLHmCUPeVmKMYgydstzJRDDfHGfeU5peKPc0aIs1IWgSQCoh7JMqbOxEGwUGIAcBFzCuLX94/iHeR5QEsSixeW5fhdS8dNJo+u4diGooJnPUwgeKd4tmb0LSo4PDw/yKuZ52tfb8u8sS+M1zVSIRuDDsizNeMd/631iZrE+9HoJKG036ii1qCsAb2hS2csA79g3adpQyaxWCdjFg81rsYd3u/o5xkLS/L68JJCVhozGEWacn+UsZm04p/NmOExqJc6FTif5jwHBAF86naRaQrWFLB5wDwZ3t9O1iqxnE06G5S2EdHYijUeFAOgG6Nv2i7eVWbDnzALnbOXMZD+nRmAfRfGEEgJ7XFnq89GkxnXsej2tG1QbJL+3QXrWAkAr65LP61w6Y2HVV6uk7Ot2k4Sc3932/rN+AHy22wQgo8phgg2/HzVEGyjH8sY5e36ue//8nNYgvwugDUAbJRDrnHOM2otwxfb6A9zpdtWY1LVls5n2vFjHZFmmhod1Mx6bu70VazoeW5hOLb+7U0M7GkkRc3dn2efPTQJ76PXMDYdi29dr8998YwF1y2xm9uGDubs7c9fXOqdOJ8tGI3P7vdWoBPZ7KycTO715oz3vl18sy3Or5nPLBwMxw09PUvCUpdXbrfaziwvZk15eZAkrCstCUFO72ShpPK49X1VWxHOnqirL93uracDMFASX51auVnaaTCyPdVzd7ZoLQZ7yeM3q+VyBb2ZWZJnVp5P80nWt91WW5gYDq6tK1+f8XGnwZhbevtV5ud9rzvfdXZrAcXdnrteTiqCqLFxcNIqqACA3nWouN/djt7O8rs3He0o6eej1LD8cLNzcqIH33rI8F5ix22k822ymWekPD+ZCML9cSvl1fa0z5Pxc+zU10+OjxuCdnQls/+UXNdCRrAvDodLPt1udZ1hpYj3m1mv9+Zs3Um7sdjpTLi4EOg80p96wYHa72scAU5+fk/WIlHyyf3Y7Nc6ohtjT23lSb95ovNzDQ9qP93vzi4VAnKqSesTE9GfxeXV7jfHzWWb5ly9Wf/jwR4P+W339Xhr05XJpq//pf9LhQmGCV41gGrPkLx4O1RBzgGVZOiBgyDk4Ly9fy+5Y0LGIbVC/h4fkBUQ2C9v08pIOK5oAGImzM73un/+shn0w0IMIU3I6vZ6hbZZ8oxQDd3epGYPdpwBfLJLXhDXYbtrxDD886B8KGgo7wlqQe8JOmOn9Ialr+eUapLzN0IWQikHm+uJlQ5JIo+6c7g8gCoFHFCY//KDfye/BN5fnSYK+2aQZ5W3ZPQXc4WCLft9WIPpImUHl2ciQAFJoMaP38+f0ngBOooy7YZ4eH9XU4+2/uEjeSNgPDmaajLYfl0YRmR/rajBI9g2UCNxDZLysWYAc5MWk4AI8mSUJ73CYEnj5fGbm372z7HhMaeVlTKk+Pzd3fi42d7u1sFqp0SK4sNDMchfZRIdkHoUJzI/Z64aOwpYmNAYjhl5PTSZsv1mS8yIJxQrR7zejf0KhUWUZRXFM1Haw4sgaeU2a7yhhdFyjWDQvlktbAQ59/ZoaTCS2g4HYmMFAzWGWqZFDnQDDy32IibZNoGK78QSgQcnDezZ7JUcPsNXx5xpVgNnrIEXWWFFYuLvT+2L9LRYCY5DgI/eHEY8j70JkBd0hjj/bbISsx6LCRXYDZrkZE9frSd5IEXw8qrCKadwu3v9QVfJIxmbW8X54Jnq9xJTF6xFCUHE3Hpvva6SZeS/mKTYEjZ8xBLETSOnHY7H+w6Fkr1+/Np/bj0ZiGGJGR/Be7xM5rvf6zDQLTD0wS8zw05Ma/OPRlsOh3bWYqibXAaCNNR0nKFhdCwgeDF7noVxc6D3CKMcCy8y0/9FcMtUEOwxp45xJMN0EBw0GKScENhagkPPi+jo1T6jSaEhRbZilHAsmVrTPH4BEMz2nqJWen1/7wQk74/nDegYDD+NaVSlPhX2K9UG2zMVFeg9cD5g4wFPOCM52AHEAETI++Bzst6tVAtZnM/08+zxAA+tmMkmgZNtCB2C3WOi8uL9vlAqL8VgS9/b1BtDhs7QtVVwrfi+eb+qjySQBy2QEYD3gPKYxgJAIIeWRYF3gM4agMwk1B4qlNiAMKMT1x07Iff7mG/3/7W0CCwAh8zyd46gRqHFo4DkDAEK51xHwzZ6etHcNBmKqI/CaHY9Wj8eWX12ZH43ETv76q77/8lKgbAz7QubvfvxRZ8N8btl+r0atrjWurd+3fLGw/Oef7eS9hQ8fzOZzy3/+WdfZydseul0r6trqEMzd3upMPTuTTPvrV8u+fpWM/vJSI63u73UOUwt6r7njMWA13N9rP4prOIxGtjgcbL1eq9l7ejJXFOYGA/Pcw7pWdsh2q3njdW11XWt/jLkWrq7Nj0ZWvLxYvdvp/RWFufHYstXKql5Pjf3xqJ8LQSPm4jPknTM3HpsfDBSOd3mplPabGzV9hA+ORpoAsloJEHl6stNgYPbttzrL7u8VhPfhg7nNRqq86PEOsaZ1j48Wlku9fp4rZO/hQUz36STPfK9n9bt3mks+GFgYDOQlv7uzbDCw+uJCSoj4PtxgINAjTh4Jj496P2dnAs0+f1ZoaZ4nleHXr1qf0VqRHY9WTyZa8w8PZv/+36dg0cdHAQcfPljx9atVsZF2ZhbK0rLx2DzjD1Hq8BwB/MU9oLEYUN8XhVRe/X4TsGcXFxqfdnenGedxn/bLpXzyZWmLxcJWj4+yX2y3stgdDqrBnp+lwvjmG70ez/jv4OuPBv03+Foul7b6n/9nHVpVZfbtt8k3hWyMog5E+fFRm/h336VGqS1/Q0rOXNLvvkvzy2Hs8LKD+lVVCgqj2aHob3u8YAX2+ySTp8H99EkS+LpOUkBQaTwm7QeCJr+qdKDHjah5b/yOstTrt1luDjoOYuSljPMh4KeuUwgOzT6yNQ7v52f9bK+XpN8UQGYJPcdSgIx6sVDBR5OJvB7FQpQFNRtTO5348lISeLMUmEZBCgjT6+meMG8VlqQs1WiB1JslZhrvcZ6n9wobhjqD9PT1WtcLtqrfTzOuAWh2u5T+S2YA2QLtQB6UGqgnKIzxz5KBQEGCnI55vrBIgCb4BatKBSTMOk1OTJdtJFEgrmWptce4u/v7JmTKx1Fz7uXFHGsN+SE+fZ4HQsTagBlFL00CjTgsVWS6fcxpyFjHPIcUnjTisMbITaNM1leVOZhxikCzBrAJnY7+DjALZsT7FJTWYmkDCpSbGzs3s9XTk0LVaFKKQs0f0x4A09o+V4pJngHY77JMbA9KGOwPPG/IhGluAZLYO2hkWM8tr3azZpDYsifN50nWyefFs9qS/PrRSD7M00nrCGY3y5oAH6trFVCAI1kM1wtB4AEWiJ5mo5P14NhLAcRQhdBowITRlPGssvdEBYiP/k13f/9qbnaIDZZjHzKTvBCm+vlZe24EO0IMdmLEpK8qMexcS+8TaON9Ci9rN9o0ZRH8CRG4yJyzxWhkK+ScBEcej68l7M6l/SDPBaqZ6TlsWzZOp9QUwRbDuFdVahSxPfCMF0VqgnmeaMTbAXZYa8jcgA3n8yLpbiuUNpt0NgF+oraCweYzcO6yDzAr3bm0X93fp88Cq+tcaronkzQ6FEadcx7ZNVJ3QkUJFoM17nbTvcBWwO8CfEX9A7iAuof3DxHAGWWW5OSwvDRFfIbh8HWIKuevWbpe0Uu6WK2Ue1EUSdWFAqCqtJfDKqNowFLCPolsfjxOVoqiSOo0Jq3c3emZMEvTQOLz/qqeIdgvSsQbsIPcH8AfnhXOpPbPxaTsBjg4O1OtFYLO7MNBr4eiA/CU12Wf9D5Zi2j8yUt5epJyhaDJ52eNh+p2xRZ3Oubu78VoHo+W/fqrmu337wXYmcnHTN7Dr782XvosBPOXlxa+frXiyxervvvO8u3Wwu2tmpfvvpPM+eNHJYYfj1Z0u3aMgII7nZQSPp0qq8Q5CzHsK5vPBRC8vFhxf29VtO657dZ8nkt+PRgoaOzpyeo8l+S8q8DQcr22cadj64cHsaImNjTkuYWnJ8vI4DgcLBSFfN3rtRXs+Y+P5gGM7u/TPSd5Pv6ci2dtdjpZ5ZzlMXDPHY9KSl8u1UTXtbnvvzd3f2/u+Vl+5qsrBdEtFkqr997yshQLP5+bv7iwfL83f3enhPs3b9RYhqC8j7gGwsuLxuYul0muvtvJ4//8bHlUb+GZLsysjmrN/OtXCy8v8tCfn2sE2ulk7uKieYZCrycwI4ZBh+nU3E8/Kbju4kJWhWjXc/f3OlcnE/2+3c6y5dLs6koBf3//943iNL+6Mj+ZNGd3A7R0OnqNxSIFyh0OzdQl5+OUEoKn2bcj2NLs8/1+A6T7y0t9Rs6c6LW3szNZJ6irvbfFN9/Y3cePSpc3U6p/TzPRrd9vguZCZPB/L19/NOi/wddsNrOn//V/TeFKeMcZL0OjTuF3dpYOiU+ftPG8e6eDikMGzxTsDYXj5aXZ+/fJG9VG7GlCh8MkdTbTzzCOBkkk7xUpPHJT5GKnU5rrHpHV5iCjQSPk53BIqPd0qmbw4SE1pRRzyOaQXdJ4ttF2RtLA/iJpns9T8cPGwAGPf9A5fT/jvC4ukiyRA7jNZLPhkFxflnrvhM1QRMWgkSYYhkYUif98riKWcBvCkCJzZdOp7u92q2saZZSTwcCeqiqFiSFhZPYqRR/yOoKAaLawEtBg3tykcTPMYMUuYZYaEAoPpIOsNQLRKKhhaGADkJ5mWWKhKVxYI7BnFCmMSiJpOCLFzb3Adw+jRzMJYzIeS1IepcuOmepmKaAJpQUNIKqAdqELU2uWbAaEBOW5gnoGA4W2HA5J7grDjXQaYAJbBqAR1gsAA0AoPPc0BgBUBDkhaW2/ZxgKJPCHQ2okBwObnJ3Zk9dYFBcZQ0dDSVNFgYpaBXCEoh4GmPdFU9fpJNCA99sOS0ICimUBJvp00mxS7iF/t90mtQDNbBnHotFokxXR7zfMR4gMYIbHm+ec4Mz9Po37igFEzXVAyt6+zt2umOX27O4IJIbjUQw78l/2Db7i/Qv9vlid4VDjfWIDl7V9yWav73Vc4/7tW3P9vhr1n39uAIFA6npda92xxs7OkoUG4CQy5M29yfOUEN4CTcNsZiTXh7oWABILsomZPUVAKcRwTrfbpaRwlDgoiWiwvBdoFuf9NqFdqGPwEDMGlNAuZo+zXliH5CUQnNoGdWHBsUvRoJJvEm0RjRKsPdYSgKp9TnHO0ExxftDs9ftp32Q/BmyDRW6fA+xx7WvD2DSAWhrBwSBZ0Ti7vnzR+377Vq/FOYEVgX2Ta8wz0u8nkAiGqttNOSgoBvg87Ukf7YR3rgdybdhibB7sY4ymyzKb/PCDPZ1OCQxmX8SeFGciN4GnsPycy4D1BA2GoM+/36sGci5ZyeLsZ7u/13m52SQLHgABe51ZAngBlzi72gFSbQUYyh/yN3a7pBaDFJlORbQMhykDptvVe2RvQw3E50OVxX4eQgPOun6/UcDYcKgGp9OxbLORp3ky0Uz0jx8bYD+LXnBGr/lff9U5QFr9ZCKA9i9/ETD5pz9ZuLqy7P7e/OWl2Q8/WPbpk/m7O7HLUW5d7HYKaTse1dzG57re7y3/9MnsdLL6/XvLhkPzT09it8tS++ThIEl9v28u/pk9PVnW7TajOP3hIH93ltmorq2BzGh82Zd3Oyuds8o5C95b+fho1WRihfd23GzMTSZmZWn5eq2QtiyzOmZ6uMPB8k7HfF1bWK8tJ4iu39c4rhDMn51ZBgh6fi511mql97zZyG7AGRprSV/XAkQvL3Xv7+6kgPrwwSwEjaobDi0/HtXge2/+8dFcrJtdXZs/O7P84cFCPGvc8SjFwPv3aiix16zXlt3eal2+eaOANMaXAbyG0AS0uqpS4388Wvbjj+YHAwuLhblMYXohyuOt35cknj3HTAnv334r1eHTk2xbd3fmLi+bDJXAudLpaF29eaPaq618MdMaj374fxMaSW3B3gRg+u6dwPTVKhEku535t2+lyjgeJWUvCvP9vs2qyh7rOCmGvebqyvzlpbnRSGD9w4MmFiyX9nv5+qNB/42+sv/v/9OmE8f+WKeTZOv9vh7IELSxcphxuOJre3nRQf8f/6MOyn8dWIUf8eFBh9if/pQ8xO2mAlaQBuDLF21Ak4kOQA4lUGUeLArX4TAlvXNQX1/r+8/OUsMIy9suEmCdkFr//HM6mCkADof0OhzgNOwUqSQMowq4udF7pXDisGwXV4TM0Cjc3KSDlIApWCI2I/zryEFhRf51kYRkHg9Q22dLSi7v7/vvkw8aNomiiKLs6koABKwC4MRolOSMs1nylSMpopBtSxaLIhXPyBUJh0MWiRrCuQSGwLZQMOFzhFGCwWdjJuiD+wbAg7SUr8vL1PwDhFxfp1GAhBrd3qZUbpo+1hxKg7afkPdEodVmKmA2kTdyDc2a4ixMJkL94xoPsTGi8SegpJGcwzwR2BS97s3v2e00jsssSXBZV/y8WWL32wF/sIW8P94vzy+gG8FpAEZ9jaIJea5wM9ZA9Kb6w0EHHiCLWVpjkUEMIaSmLQQFnyExBizjfY3HiUFib1itGsY09PvynaFW8T41CihUCo1zcWQBdDoaSTad6mejJD88P4uFbodgjkZJIYPNAV973OMc+xZ7UVGoqOE9ReWHj0xbZpYaFVjKOOqtWX+RJQy8x1hEhPVabJhzKiD5rHxPUUjCt1goN2C9ljwd0BBwcDCQ3H63kwQzekGbcD2abiS9rIW2lBtGczLRtTgeLRRFyjbIMgXtAVD0eirQvJc3dbcTQ7fZaH/AAoPqazZLDShg5eGQUsR5v7ClTFxYLNJcaOw5nz8nNhz7C4A1cmzWVQip4eZsYJ1z1gDswWrSmLVzL2BuaXxpwAEQYThh8GHhWWtFkXIjOA8IwsT6wnvkuQFsZW+lwe71EuPPPoIF6ttvEzjfVhlstwIzOcOwAHBNsUbx54y642znbAMkZY9HgcA+137e377Vv7G4VVXyoTqn9xkDz5pAQJ712NA05/dspnXAGc9+hZedPyPN/dMnff9yqTMEf7n3Zv/0TykY8P37dN60G3WY7f0+nc1Y2HgPSN3bth1UBm21H2f6dKrmbDbT74f0aGfftPNNADSpq+IEHcdeHMHcMJnoOSOY8KefJGmP1z/b762OlkW3Wlm4vdVc7X7fssNB6d27nYU//1kM52hk9vGj5budVf/hP2iiw6+/mm025rdbNZBVZe50svx0UgjZYKBGLss0IWO10vnw3XdKiY/PcHE8Wh0bZh8ntLgsk7VopxFxoVKwmkNxclRIm3W7anhDTDSPCrbw/Gx5BNW9mZrY+dxsvVYTGwFKt92am0wsZy/Z7ewUgrmylHf98bGZn+77fcvjWs6WSzsVheTR33+vRvr21soQzF9f672dn1t4elKzHRlcT/aRmeqzsrRwfq5rvtvJBlBVAjZOJ4XhnZ/LRjUcKnDv/t7yzcbyhwerj0dzo5FV334rO9dopHnhv/6qtPTp1NzFhWWbjdXbbWM5dXVtuffm87yxZfnLS8t+/lmgwdu3AhfMFPAWc4/8eGz2/r2AlL7mi9vhYOE//kd9psOhGY8alkv9fRVD7+IZ6DodrYGisLDdJkVOG9zsdPTZdzuBNXWt+4bKtigaVUi4uJBN6/nZ6sGgmWDjFwvL12vZPkKQAiBaP3yvZ9njo/nBwNzLi+XbrSTtQSFxWVQmhPFYfdDv5OuPBv03+FosFrb+z/85HUyEIjBm5nRSgeK9iqB28FE7QI6G9NdftZH/3d/pe5nrjcz07i55trtdfV9bakIxQWFOY7Db6X0gA1suU3iPWRMI06DI+NlQAdAQPTwkmRsHP+wu8lTQZEZrPT3pfcPCU0jR9NF4IWNqN1iwuATKPD4m5B7pfEw4bVjC0Ug/W5bpd7f8pmaWCmGKNpqrp6fku8erx8EDK2aW0Pl2OFqbIbq4EHMe0cpGxhvR/bO/+ztb73ZmP/74ms3h/sBkck1pckN4DahQHCDffvNG7+f29jU40u0m7ziNBeAOwXb7fZIvwnrgJ6U54Pry30iMKIpgFZC4Ij0fjXQdUJjQGFHMsg6Xy9Tch6CDKBbAzVzwttQWRpVGlUIehpy1nWXyF3NdkaRS8FJEtyWfgD7DYWLn25+Twpw8Bgp2mCsYLdYNhWDLv21mr4GRshTajBzbTAde/LuzwcDWMKdmac3jJSdIDTkpwCCFN+BBmzVuF7k0P7GgDre3ah65F6wNWH0zSfb7fTWng4G+P7IvlmU6cFEO5bl8+cdj48sPx6NQewAWrgvNegxrc0imYSnjnhEAjmAR4p4UnJOPrs0wYrEYjxPwQKNOOE5LnRTMmrT4tsw2ZJkK4/G4AXxI+nbrdbrWEZAIRSGGBOl5CFqLZun6s2bMGlbDtf8/souunQ2AVDzLkioh5heEy0sx8zGt/ezxUXtOCMlOgY+XhpSciK9f0x7NM4eliLXHPd1s0vcxJ749EjPOy23sSygx2McAx9oeR8A7Gh7UO22wC/94G3gE/KOg5DqhLjFLNg2sQVh62JdQFbEnwapXVXrt9TqBQkjMj8ekemA9kNSPFx5FHWqy9Vqf+eJC+SY8W2YJMALsR2ETMyqac4vmMlp0muadM7idPWKWVBl5ns4c/gEwBZSpazsLwdb39+nsWSwSqBDHPDVWnbMz/f/dXQL4yByAPQOUATygmZ3PVaM8PiYbGYRBWQrwjyFnTU4Max/QGuCYfQ9FFuoLzjlAOUANADqsXNOprvt6re99+1bv53RSHcJrzOdJtUHN0AblDwfL89y8V1K7HQ5qzpZLXYs//1m+8/lc8nTvxQx2Oua+fBFzGud7uzzXHvDrr1au13b65hs1Y58/69r/D/+DRrnd3JjfbJogOB+feXc6mdvvNXN6OtW+e39v2c2NnZZLc99+K9XS46MY6s3G6hAsvHsnlrzTseC95auVmq0IFoY8l6UrBAXC5bnlvZ4NOx173GzEWsd6KasqyZZ3O81e56x6fJRUe7GQX3k00rzrCHD57dY6TmPX/NOTQtLK0rLzc8md93sBCNEax/x2u7uTN9x7Ja5Hy1SI2SV5HqfEzGZWz+eWPz+bX68tOz+3ut+XrzqCEvnxKLn846MY/ZiP4+PPufXaqu1WqqrTSfLtN2/0/+/eSab+668KRLu4sGw8tjpOl8nnc6uLQiF2mZL1bbuVkqHXs+yf/kmjxt68UfNsZvb8rN8fLQd+OhWAPBppjN7Zmfn37/VnZlKQlaWsVPHZCyE0oX9+Pjf//r1C2diXAY2xTWZZsnJGcMtF0sBGI12v08ns7Vut1edn3eM8V3ghuUG7nYXBQAGJw6Fl9/c6x723ea9n6+PR7PZWz8xyqfT23U5kQhwj7P/hH/Sc/k6+/mjQf4Ov5XJpq//8n1+nBsN8Ib2lmPz6VZs+SepIwF9ekmQbKRtjSJC1O6efhfHk8EdC9+GD/MDt5opmqB0+E/2atl7r9+CVRlINs7DbpbmsFxcqhmjGYXYpGNqBdG2pG80ATU5dp3ngvD8aJUIsKBx4zzDrbRDj82d9hnazuFjoGuR58sITiENxFsOWGkk+MjUaFg5y5NIUnbCYx6MOZw5g5npTwMPmcujjD3z/XgcHG9t2a4sskwedInO9Tg0Jr4O0v6pS+Ew77ZzClKAtJIsUr7NZGiWENxa2Hm8pn4uClfdP8w/bCKuJxP94TMnVgCw0qhSiNOrI1PM8FearlT4H64cmE9AIP/3FRXo/sGS8HyTM0acYOprt2XyG06lRDvheT/NP2zJJlCrYFdpsNeh12z5CkGOvl54r7hVMIs8Ciguz5FOMfx+i9K0JQ6NYj6NDSGxvri3s335vi37f7h4eBFqwXvk+vMTtz88BiwwePz0qG0K5xmMVVzCFrOu61nUFEIKJA4zE709+QrwvYTxWAxv3FB+LWBc9/aHTsczFWeVVJWZ7vxeIwppjD2UP4LPGBirEvcO1VA5NQj7PPCBMBBCatQ4raSYGITZYoa41+qatisCLDshXKPgvvLyITYlJ58F7sQmdThN+RLBaKBRamLFWaB5aKohmpKCZwAieq3id7OUlNfWAQ3xfXVuYz1VwHeWLtOtrrbO6tuCcnb95Y3dxHTqSuF9eUrYGeQmTSZL6Y/txLjWy7EmEEwJ6sHezpzw/p+b85SVlFex22r+7Xf0eGHD2GDPtWZwVIST1BP/w7AEsEFbUtgo8PKQzDUCK58DsNdAZpxk05xj2pPa+WZY6j51LADthqt1uykxpP3fTqb4vjoxqwOWq0v7nnH5ut9OZP53qvMDfznp3TmcPvw9WEeUVCgeuCQAUkngAhN0useOcW5w1gEHte3F+bgvvbQXoxP0w0+d4/16vc3+fAm7ZV4pCnxFAAcVVex1BVrRVMJeX+rM4asnev09NOWD9x4/6XbNZss0BdEfPbqOmA6zAfoNagnOT7IG23YBahEA5LHvLpVQPZZkyf2hger0EhvJs7zVCzAYDKXBCEAP+5YsS1y8uFFa532vvGI8lBV+tFF4ZmXo3GGg85M8/qzn7/nuN0Hp8lNf8zRvN7H58tPz+XknecW/1VWXhdLLcOQtnZwIAHh+l8NluzX//veXdrvnb2waMc9fXkrPHBPCs39d88IcHy8ZjJYSPRhbqWs2yc5a9vKipjR7xs7K0+zoGwe33acb58Shfdq8nBni9tvrDB8vq2vLHRzuen1tRaUZ5XlU6E3wcA/f8rPFgw6Ea0KrSfvfNN9r7X16kRBiPzX35op/Zbi27u7P6/Fz79X4vdnazkbT6/XsFkn36pHsR/eHZaiWvdQjm89zy3U7KgulU3m3vpU6IvvYQCYOirq369lvd87q27NtvZT+4ulJzHSXtFhPTXb+vALTdTrPWi0LqqrdvBZj87W/yXZOHtN9r5jlr+rvvGqWePxwsf3y0+vvvzcVxarbb6b2dnekeRLWSGw4VZDcYCEBAkRr3DHc4SJ3FdAUydaLVgLPJFYUa6fVaZ+OHD6rDnp9Vd8Vzq377VqB8fDZ8BMyylxcB+4+P5p2z5cWFrX78USBWp9PkDPjnZ8ufny1Mp5rPfnaW9qzfwdcfDfpv8LVcLm31X/5LKigozCkCSBqkyAaZvbrSgkcSjPQcfyZJtozpKEsh7MNhalJ4XWSULy9qzP70p4RWt+XeSOhCSCg6abTn59qYkMubpaCZiKo2Cd6Ey5ilsU40fkjLKKgjw9SwATCySPpCSCm0FArtwrjd9NAswV4z7oHGlMbmwwe9z3ZoDtJqGkGCR0iKp7HkPXFIt1PIAQ263VR00UwiuUQJwL1BaltVek/zudnLiy16PaVx48FkFFynk4KjzJKqoA0W4PP5+DG9X5rYtieVxu/8XK8XPWavCsiLixTYhsSTghAmi4IGBo3CB2YGJoZiknvcDvXr9VRowTDxmQ6H1+8LJgjGlwBEmPH2e4FxRRJq1lzDMB6r0TV7PeKJz4SKA/AoHhqhjiNaut3UkNMst/2PMIpIG5Hg04zEtRqyTAUa6yAEMZyTiTmyHQCykMRSBHONaXh2O1sMh7aiEI2jkYKZpPbH4+tgRJrIENQ0DgYqMGluDgeBBczDDtHzxnME2Aczhlz6dFJT2gr/CpOJCjEzNaqdjkbOnE5icWNB5vBGt1i7sNvJX0kjzLOO8oG9YL9PCeQAPoeD+f1eUm723Ok0rX1sLUh6IysanBOSfzopmK1tHYl+YV8UlqHmeHkRK+29wgMJu9ntBA5FYMTFpjmYyX+KR7bdWAEcsG5QUTmn9RLBQn9UOn4oijRq0CyBjtOp7n0I8iDiy4+qinB5qdcrS3MC6KsNAAEAAElEQVTn57aYzez26kqFG1kkKD9QYBBiilR8sUiNanusGc9hv59Cztr7E3va6aT9HU/2fp/8wfiaabJns7TfxutnIej8wiLBs9Fu1lHADAbaX7GRRFtDk0D/r6Xd7FXRE9mEzpHP0B6ZxdphnSLr3u1SHsJmo59vs9usY86PL19es9SAD5tNsjXd3eln/vSnlAmDlJo9gYA2zj4YaIIxI2jZvB/OTrOkFOMZZG8DUJ5OEyhWVdpz2hJ17kP7mi6X6QzEt19VCQCMrJddXKTngWyCtgIEewTe+BB0PnS7so+9vKS8G9YP5AZADYAofnhyWgA1yzLdD9YJlh5yFjgD2D8gB9rhf3//98lrixqARp2GJu7jzWirTsfcX/8qRnCxaBhlOxw0p/z6WsAwYySjCiJ7fDT78kXJ6rOZ5X/7m0LXfvhBz/L9vbmbGzVoZ2e6B3kuX3Rk+7PJxOpKo0fDeq2/+4//UfvZw4PGmz08mN/vLfzwg/b6srTQ7crH7L2Y9N1OFqXdTnsvtcNoJNZ+uzVfFDafzWwN2GOmZjGeK77Xa86d8O23qeYcjxUqNxyKjc40Mzx/eFDDeDhY/f695P4PD5LWj8fmj0cpEd6/V8P38KBG/vlZdqfJRF7u00n5Leu1gvvOzzUb/O5OIWbTqbn9XrPPRyMpGKLHu6xrO11eCiyYTHSu39/rDLm5kSpsMLDq7/9e6zvaw9zPP6v5nE7NoRCIYF3o9QSkPD1JQu+95SGIzf/nf5b64P17NbOxKQ/RxhFGI7Pvv5d6odPRGWBm/t/9u3SubDaWvbyIsX9+thCVP2E4NFeWlnU6Vv/pT4nooVbx3tzZmVjtshTjTQ9AbxFrmWZ9n59bOD9XMJz3ypSJDb2fTCy/v9cM+izTxILnZ9kjOh359mNmwGI2sztqfmT5j4+a1vP2beNd92ZJLfs7+PqjQf+NvrK//vV10YXfDISWv6MBBNUfDNRkrdcJwYddgSU3+7fJ07CuFFagWVdXOiwIY/jhh8R8w+quVqmpo7BB3kcBxszbx8fkhT87088zu/XsTBsQjd5+r2YZ2SD+PtLVzZJUkOsQN5BGFh6Tqpumj0KnqpKUl2aK3wuC9uVL+h5AkW5XyOBopPe22yVW3SxJKJEyMgedYiYyU833IWNr+4m9ly0BqSnezXZj3Q6mglViDjsFw+mUrjWebAAGGBpk7Gbp+8pSn43fwZrAg4mfezhMY/seHpJfkCJrNErp6fh+zZJnD09+2x9O8Yksk7+PEr1X6gQaWdh9ijnSmnn/qBxio+OXS7GOZq8a3wZo4j13OpJ2tQMBueYALagOWEe8x9NJ/39/31yPENfIq+atrhN4QBHGuuXv9ns1RTCIea7PuFyqQIsNc7N2Y+EXvNfPABy1mVK+YMzaqfp4ZgEN+Aep7vff637Fgs22Wx3kbbsGqh3WYa+nAxTpd1vZ0Gbv4loMWdYcrtnhILnbZqOGvdNRkVnHwLLdTr7Ik4LlQgTbHCBlVByF1nMY+n2l8tJEHg5SGxSFkHqe6QhwhO1WRSvPW2ygue6+21XB65wSkrtdzRCGYYsNuS8KAR+bTcoaQNrMuoENMBNIgDcVBQ17P40hhX6UjwczNdnPzxpJE++Hc04FMax2VSltuJCnP2N+dzsAcDYTEBN9vSGuSUeTRxMZm33vnOT/qJ7OztJ6glHHW03zgwoKBpa9kOvRDjrl+5EhopiiOSKToijUhLHnXl6+9hO3LAxN88fexZnJvRsMtJZRCCBXB+CgYQBEhdUFfMV3iSprMEifFzAXFprnjGkVT09ptCRKBJhdrBcw858/6/sBZs3SNSeMFJn/d98lPzbPK9eHhhwbE+GgNMhIz1HG8ZyZ6XoArpulsxQrxuVlAgdpNpl2YZZUdoCfZvosy2U6z8jNwX7F+iJsLzZ7r4iNutZacS6x8d2u7GB5rsaYL8CTp6fkEe/10j2JFplm3+f3kBrNOcL6QO6OhJ+zh/OKL1L3h0MpF/l9KA2wTmy3lm82mnv99GTu11/VbE2nllWVPLdlKfXM9XUD9ofTSftvnlu4u7Pi/t5Of/d3kiZfX1u4vDT37p3Z4WDFamXh6srqGKCV7ffyex+PAkrzXHLi/V7+79tbqy8uLPzd35n7/Fke50jkhBjWB0gdDgeluE8m5rZby8vS6uHQstXKXFVZ/fJiOfagaIPzAOm7nWT5IWiGtZkVeW6VmRVXV1aR1fH0pP3Xx/BTLEBe2SX1fi/Zda+n5qyqxNafn1vodi3f7y2MxxrJendn/unJXF1beX1txziWzV5ezHc6lkdFg3//Xtfk82erzSx788Z8lslbHddMVtfmjkf9/ixrAJV6PpcN4OlJ4MbVlZ3MLL+4sPq779R4vn8v8PvjRzXV5+dKgo/qBuv3zY1GYuS9NzeZ6L/juMb8v/03s9HI/IcPDVvuvbd8s1Fz/913AhCi6iw7aGxfeP9eSoy4xl1d635+/qyzt9eT/N85c+fnqq8eHvSZASoHA3PTqdQEPo6PYx8hGBggO9YS/ttvBUZvt1IlkNsSZffUTD6qn7KnJ9kXtlsp4KLdMQwGAn9iLeAeH5sewr97Z2E6FQBT11KV/RES99t8/V4a9MlkYpv/8/9MbBqNIUU2XmACdijYkBRzkG+3krjtdmnkCFJhmgyaI0JWSDGkSaDwj/LGhuFaLFSoU4ADIrT9ybAVsIwvL8lXnmUJOeZQ4+AloIbGzHsdUjc3SWpXFAlB50DkIIcdbc9Cx3NNYZXnieVuj2lgXiqFMMwWIVuwOXjzOHQpUilckJ0i0SOVGP8jrCbFHgc/DRpF4fW1ioTjMRUOZq/vcZ6bPT/b6Hi0TQh6T2Wpz04xx2ZJAVuWqRjn+tBQcU9Itl+tXsvRYZDwhsM+zOcpnAnpPWzDbJYKQpBV5L1YK9rMEOsGIAN1Be8RQIZ73y56ABkAqGC2CUniWgyHKlxa7Jsbj+Wjo5nF99zppOKQJoqwpiwzn8eQNQpg3g/PAfLdNsvWbsiRP8Js8czAIsaiOyyXOmTi6zdebe9fp7OzP9Nkm71ahz6i9e5wsFFV2fP9fRPOFvYaj9JMLMA6A0P28CDEvdtVgwt7d3YmWdrLi0AIgDpsFIAkfD7nlJbO/laWalrj2KAs+phDTCx2da1GfLMRa5HnGpcWmxo/GMibx+gY5+T37nQkNzwcUggfzyd7D+/VTI1olEA2jTH3OWg+ujvGpHkzFbz9vgIDW1JX75zGuZhZ5r0AE/IyWgCTz3MFI5kJBECeDEPOnp5lzYxgx1qKqqUmXT3PVWz1+3otwtNaDbyNx5Jxkv/x/JwyPyKLG8ZjSVpPJxXKZo0lytF8eG+jPLdNWTZ7Uzgc9D6wPbE2lst0Lbfb9FzR+NBwPzwkbz9sLWdg28PN2YDvd71OcnoAVYJDAZDrWmu5bdmgiT4cdFby+/m87DeoW/C6T6dJ0cSevtul1HnsKTTqZB3QMM/naYIAzTfAN/aKPE8jvrbbFNoKwIEtBoAvy/S667WAdYBLFF7I7L1P9rPz8/Q9XNe2VQcAhvOG83G9TqAJ+zv2JSxBd3dp/2GffngwqyobvX9vGwCvGBDZnEMA2KgoACrHYzX42P6qSp8T4B3mud9PSgRsXACr3a7qCJQI5GN8/Kg/+/bbdF9YY9xXGD7k69Q3fDbWEQoxbFiA5m1iottNQbBYtDgb9vsEaDDRpd9Pyj7Og0+fzD086MzKMgHAz8/yGEdLXTYeCzyMjZRVlWVRph1++MGKP//ZfJZp5OhoZNnpZP7jR8t2O83uvr+3utNRwx2CpOaDgdV5rn14u7X87s6qv/97NYdXV1LXRAVH/d135sZjK5xTSnh8TsN0atnTk84hM3MvL2pa93sLZ2eWH49Wb7dWZJnCvpyz2nsbdrv28vJixV6hd+5w0N708GDh/XvL49kbej0LRaHmsa4tFIWVT09WPz9rH97tFJI2Gpnf763w3urFwrz3ej8fPsgy9eWLmOi6tvz+Xh5wpNrDoeUPD3bq961488ZqM7NffxUDj1L07q6RpVs821ysr8J4bHm0L7G+wmolcKHXs/DDDwKB+33zi4VlHz9afn9vrijsFKXdvqoszOc6b/Pcsttbq6dTzYffbi2cnVm4uZHHP1oUXQSs3X6v0LZez+zf/bsGUAqbjeXeW/32bZPw7w4HNbbxnHU//yyFF6rCLLPw7p2AkN1OEnXID0b40qOsVqmOB6BCYXR7q2vz5k1Tj/g8F5iS5+YnE4XvRabeA7QfDpqqEgnI4Jz+LNpixt2ubW5vzd3dCWiI4IuL5JOLRKH/9ts/POi/1dfvpUFfLpe2+t/+t3RIU9BzCCD9pRGiqW1LsikcmEmI5Bs/Ho03CBc+v7ZXDMkdzCEH0O2tfido/7t3SYpOs8S4Gwob/o6iN4SUhgq7CkuaZYnRoFGliD4cxBTAXBMYR4GJbO/9+/RZafwpUJxLbG98WJvDHWZzMmlY1Ea5QGOJ7LwNjsxmOjR5DRgYNmYKryxLgW1cGwAO/oxm1Oy1H5B7SCGEZDgyB4tu11Y3N0nijpeOYscsofrdrt4jFgRYE1gqGCz8zJ1OWm/OJRCjXXgQ0nZxkWSx7SRu5KusKwqRdigSKdD41ZHWg5h6n5iKNsvFmuV72oAD94afBWBpK1FgifFLw4ShAEEyCbKf5xb2e0mtaf55P9yXl5eUmNyNY7kAaeKz0IABsGUwqbzv6JcPLy86COtaDEEb6ACQYj237QT4vbpdHVqsBZqQzcYWeW4rWONeTwAPtpj9Xs8K14lmhNFFzGSORRCzwhsGDoCrVYCHWGyHwUBev91OKfLR25gNBk1RlMG44tGO/jRXlgrXqSo1kfE88kWhgBpAHYpoivzZLDGtoPY8pzRUfEbnxBqNRkLvYQnN0izzfl+fOzYT4XAQkNDtygMPG8g6YT8g6wBZeR1HwLRVGkUhD/hgILAiyoNDoUCfZhxOlIc77g8qJeTto5FYhsjQZczkLoqm4QxRRuu812eO4BppuhnNdVkqqKcozGWZLWYzW728pAwSzp6iUOOH//r5Wc/Ocpmec/aI+/vUqMMQY2nabpPfH6CrDYS1wUzkxzCOeZ4adcA+bE/sCTDqPN/drpo+lGPt5x67DbYyLFxImvFKo9pB0s+ZiNqB/fDqSu+Dhg2L2sVFAnru79PPoR64v0/KAhQW7CEhJHUTlqW6Tunx7K3sM1dXep3FQs0v4CcSdXI6UEBw5gN0tMfyAWAgq2cvuL1NAELcpxdVZavVKj1HqLQAfcmJYB8BmABkurhIyrSqSqPxIlvWgIDYHpDCo3hgjQGCMbaTtXN+rrBc9hHOAK6HWVqXnE/YIDiHUBgtFmntsgbN0hqEROh0UuYBYC37dK+XPL2Pj2Y//WR5CNob+n1NlHh+Nj+fW7ZaqZmezTQrfLdTw7fdWvb1a+MZz/76VzXmEXDKv35VbYXdJLL5PgKEWQgC7upaEuenJyuqyur/8B80Yizut+7rV/nbv/1WwMF4bEVVWbi6EkjAXjsYmIvMdXU4WJZlzfu0/V57UlAQnS8Ky5yzM+9ttd/rDIjWSVcU5t+/b852hwXHzCrvLRuNzL5+1d58PGpffvu2mZ/uZzMBGaeTuTw39803AhHWawEFT0+6b7OZgNsI0If7e8s+fJC0e71WqngcWezqWqDIeKwMkO3WbLeT1PziQqx5tyvg4uXFwmZj7tMnHTvn5wI29nt5380s/+kn8xE0sdnMsqsr1QH9vsa5Rgm9LZeS5psphf7Pf5Y3/bvvdMbsdgo5fXwUSBNHpWVR4RPiPhU+fGjGeDIxxceZ7e76WiDubNaM2gvv32vkJ+dsbPxdvy8Agvr6/j7ZkY4Kr0Pp5p6eZKE6P9fnocaNJA+NeohTj0K3K+Y77nluvW7yHZxzjaffTic77/dt9S//omfp4kKfhbo+hmV6egbAyt/B1x8N+m/wtVwubfV//B9pUwdlahf/0aMb8lwszs1NCkYBTeaQhNFmnAkHDJ44XrPNDIIaUwCcnaXmDukZY0KQfFG0cHCa6e8IFaPZooiBFaGQ4lCisaBJjExac+AykuvqKsnpGHdFEQ0YMJmk5HMOTeSFfD09pZ/lc9L0wyTOZqmwJN0d5oL3E1FMOz9PEjmuLfcSH7JZkuZzTfHjcX+R50a/U+MdXK0SyEHj3+/bYjy2FSnDz88pKJCQHO5He7QSjPxwmNJ5SfclVA3ZII00I2Mounq9pCIABFksEpNNEUeDAgtPcUYziwIByW7bd4iP2Ln02VvMYlNAZ1kquGHJ20z/5aWYAtZyK++AQK5X8vr4HsPhkMLi2sViW2rMtYPt4ZoCvsQGy0JI1g4AsH6/GRlFsFdT0PLse4XamPdCqjcbNeo0oTHUrAFZOGholJGwojyIzObizRtbff6cinfko6g8UIXwurNZKlpRFkTFSjOWLVNqrIvrI0SPcgCUiLJQF1kjv98LGT9pBAxAYygKfcaosAlR/u2Qu7XBy+MxpbLH7AE/GEiOCKMZf2+wKIFnz4n7Qeh0UthclFw3M9djiF2IDZm7uWksKj7OrHVVlRjpqlJRZJYk/yE0kwACAW3scbGx8nmuIpJ7nOd6X2UplYaZVAVRsmkPD3oe4/sN/b6ChvZ7MTLYLGhmJ5M0DgnJPyqOblcFOIqgKDsMcY9zsJGxgV0MBraKhXx4/97MTAzN01Oa/HF5mYDOq6sUjLVcJtARxtZ7XR9GJAKIAigwDQAmkbUNKMc4T+fSXl/XWrMwnzC5nIHtKRQw0uOxfvaXXxJ4yZ9n2WvA/O1bvQZ7HedtVBw0EvNOJ52DSOWRNTuX0sVReiGLhonjHCE4DvbdTO+P2eSAvID547HSyplDfn6e9jBAiS9fEvj79u1r+Tp7F2czIbT9frIDwWjDMmNvYN8w072P5/5iMFCgKfe9rewySwok9lfUEe3zKc/VdLczSgDwCW2FhCC7QAVW8szTBKDgguFm7YzHZv/hP6QzEHAVZVfbItBm0r1PzTvPJiMB2XMAQLlWkB5FkdYkwDQAN7VTrDtcvy92NNOIShpwGwzUjMU1Hm5vrXh6suqHH8y+ftW4sctLjQE7O7Pyv/5X8y8vamqen+U7jvu3q2vzcS2RCp99/Wr1fG7hwwcFlXGePj8ruCue/b6jwM18tZJMvVZgpo/qnmwf53pHtY5HTRJT5pkjXgcFdZ4tl/b48CCJ9v29JOnjsQLrsizlY3hvVTx7848fNXrtdFJA3ps3Om+qyvxoZEV8nuuYWp7f3JiPtst8tbJqNLIinnM+evdDlpn/8EGfBxDt4kLXrFXLuNPJ8sdHq8wsz3OrUBJNJg0Jla9Wup79vhrHaE/xHz6Y3dyYu7mRguH8XO85js9zWSb59vW1lGTjsbIBol0t//jRfGzoQwiWR1WXi2HO7vvvrSbvA1B6MJC9gmfl/t4yMzHa//iPFoICCbOi0Gc9O9NoMpSY8ezwgI7x2cyur+XvBryj1ot1svPe/HffSbkXveBZO4sI0mo4NF+W5lAA5LnOm/1eoXCHQzrzWZNPT7Yws9V+L5tAHIEXTieF9p2dmV8uxbizZ/5Ovv5o0H+Dr7IsrfryRWEILTanCR7h0KLYgA2NEie7vU2jwwj/ogmkQNzvXx9QyO+Qt9GoDwZq/mkuaT5ptHjAafwpAglyoQgoS/09xSTeepoxpGBmydMW/aWNvB9JHIc4rGtVpVAwfMAcglyTwSAxHrwuTBPfR+ME+zIapVRd7/WZ8DfXtSSRFLI02BTisBgwAYdD+sxtaTYhOigQ2LgYDQSLjK9+NEpF6mqVGuzDwfKXF6ur6rVslERxQm/wHJul8CCAHP5BddFef0gB2YjxfDKDFkUEfwZrcnamn+12kxKBvQN2jcKbjR4varer67TfJztEm8UChIlNq5mlXAaC4Pg71CWVRsxkSH7NGotAc1/aIVHcOwpPvoc/o7DPsvRZYdRjwxGcEzsapY+h1xPTfH6efh9fbfAsPq/BTA0tAEg8+MLxKLlxG7jiGaF43GzSs9vriTnodFIg225n+UEJtmaWikDAJhQPcf9ofjYWq+F4VLPMfhRlyX4yMReCkOx4H5xZYrCyrJFphyyz4Jz81mWZpOOAExS88dr4+Pw7M8kqTycdtnFNBm2iiVGO+1ko4mg59tLYZISopHDRMhLKUkoH/HFmku3ROGUKpLFuV4XA16+pQWGv5rM4Z246TXsLFiMa8tjo+eHQMliGuAc24W6xoWvAi+dnSfUBcbDbhGDh61eNvmEv7ffV5I3HYkjqupFDhsNB6xAgZrvV/Y3AhhuPBXjAjsOkbrcq+t69s6IorKaYAwzkuYMN/PrVmmyHxSI16rudGqw3b14nrAOO0QBic0LybJb2qLbHuG0hefv2ta8fxVSvl5hi2FOUFNNpCnX71yqpv/5VnwMAkmcNVVdZqvHjjMEaxHnBhAkYXgAClCswq7tdkq+HoOuUZUkRttslsO3iIjXqgL4wuVinUDMAXjBatNNJ+SgAWpzRX76k7+92U15A+3pRZF9dvQZkuXfs75xFqBycM/v0yfKqsrqtXGo3yZzhgEYAjZ1O8vKjrkBmD5gA+1/X+hyHQ1IooEyiFmL2OMSGWWrCuceoqIpCAXuXl6+VYW1LEs1RW9nFnshrx2enqQ24d4+PqWaCIMCiAPjKdfdeTLOZZVdXypHY78V2Lhbav1AnHI8K2zqdLLx9a8Wf/2zhzRsLZanxY7udZf/yL41k2D09Wd3rWV5VVpWlZaeT5d2uVZFRD95bvl6b/+47NaecR/f3YpffvxeI1+9LOn91ZcXxaL7bbYBH3+1qTvdmY3mWmR+PrXh+turlxYpu16rp1IqHB6s5515eNDt9NLJit7M6Anr1t99aHjMYwuHQjJ4sQrB6NrPyyxerr6/FtFaVeawCz8+Wm6lZjvVSuLgQ2Hl/b+HpybLDQddzNNI+fDhYGAwsv77WWLKYOu9aoXIhKvT8ZKLQt5cXMbxRgZjFnId6OLT85UV///mzRtZNp2oeu12Bq+Ox5T/9JLm5c3a6vNQe1u2ai2RLqGsrHx/tGIMR87qWQiFOAggtq6obDMyenpTG/uGDSKvjUf74qtJ5++aNJPFVJQvXw0NDPmU//6xslem0OTMCSsvDQVkrMQAzAGISvPzzzwJcIpDSEC5ZpiC8+Vxr0sX8EuqELJPVbbuVFS5mu4TjUWefmWoR1DvYsZxLRMvXrwJplkuF8VWV1mw8//2HDzoPyblpqzZ/B19/NOi/wVe/37fDjz+m4qvNfJklxsAsNaOg8iDeWaaC4OYm+cc4jGnqQbfxCnKg4tPlQIgPZuN/p/lsz51lPdCEIxOPPt/moOXgIryNwhYWui11o4Bts668Bn/HocsDSuPNwQzSTkPV8svacPjaF4gtAADk5kbvld/HyBCYRIr49Tp5IJFN83mwHtDAI59G5tiWI1PomCVpZZYliTHS9ru75OHBa17X1l0s7EAhSqHPvNVOJ/n4aXJ5j/1+uhcUSDT6SNFPp9fedIAcgA2z5EsMIYEId3cp1I/05tgYNmATDTKFGlJOs3R/u93XeQHISfke1B+k4+LP5bk4HBrG3b97J0kXax77BKwYTT2FMCALzxzqD1QNbYkrihCC+MySCoMRd0isGVXHewAUarERzXoZjxPjyrrAhtFWWiDRZl1FptTVdVIysG/E56drZgf89GZJImomZvTrVzXhAFs8m1hXIigVOh2xLbE5YCyK225VpEQwzAGwRCDFO6fGE/8laygWvz42jQ4ArMUMucjy+qJQg9uWsGaZQtki4OVYrz6m1Y7HYmLwMrfBie3WQhx1g0qk8UvCnPN6KFE6nRRuF32KDqkyclWAusFAUvGoqnBRmuejTcC11SIRgHDslYA8ZSlgMmYOhNNJIMPlZbPXUywxas36fc0W3mzE+He7+vO4JzYZBjSLgGrjsdn5ufl+X+x+BAq6RWH7wUDMVAgJSJzNUuPDM39zk9b6u3e63z//rO+bzRRAiqWCM448BUIgyUJgL4CZhr1F/UX+BmwwQC4BQZ1OYqexJBGSSCgnIEcMOWqC2H788fWUEZ7n9r7w9q38zKtV2r+XS12fn3/Wezo//7fTSVAEtNkjGnyuKzYBRn8yLhTlAmAQ1qS6TtMeUC0dj6mBnc/1GigYOHMZ/4mHdLHQe6YxxmuNTHS302uj4qIuoN7gzB0Ordvv2+Fvf9PvB4xAOXc8Jvk+QAzqAc59si+w7JATwtmMYpD11LZFoaqiHpjP9dmYLAMAD1iKOo57PpuZ/ft/n5QYSN/Zt8gGyrLXcllUYCi3qCHIKXl8VI3R76cxVNQcTLygIVqtdK8vL819/izAcLGw/PFRKd3drvmtRoHZdGohSuBDHD3m370z99NP5q6uFPB1Oll2PFrV7TYqHasqNYxeM8Hdeq254v/u31m4vha7XlXmVyuzszPLzs6snk4ty3M1eV++SEZels0+7crS8vt7pbqfnUnq/fRk+elkPtY+YbPRfkIzVZZSEW23Vjw/2wm1RZ7L4gM5EILY1cHA8r/8Rb8jMur29q0F5yx/eDAf8zVCCGKrh0ONA318FGgcQSA/n0tqbfI023pt7ocf0vO03eoZj1YrOx6lNDqdzMXgVlcUOvucM9ftikX23sLVlRVXV2KALy+tOj+X2uziwuzpSRL241Ey/7I0u7uT7LzTEXO+3eq9zefm61r3qNNJMvnLS+3rEFw3N2pAv/9ez/p2KwACouXDB71uXPf505M85Z8/m394aMItA4pJfNoQa9ut2XAo4AhJ+92dwKG4B7v4fIeiSNa3Dx+0tk8nAcbUc9hpo/3EF5oE4w4HnXNRAROiTSKUZWN7s7rW2Xt3p883m1n3229tv1rp/sZn3MdAxCxoIo0dj1pLf3jQf5uv30uDvlwubfV//9/p4IqHUzNKCHaMRoUNCnlbKw3ZnEsb/8tLYtVhlpDEcsCT6s4By2ECqw77gIQRGS+MJankNOp4V5Hf4QnjAKP5hlFB6gd7DTqNNKyduh3lrq/kzbDQMG6Mk6MJ42dB6vD54rGjQAWc4P3S8FIY0iASQgNyfnWVZJU0uzS6FHK8h3aRQEMKKzabJTaq3dw/PqaiBYYkFh6L08lWm42KqLZ8m4aN2fOwVU9PCTGkuDFL4XEoM/gcMMgUHqT+tz2cFFrI8/r9NNqPFN3RKCUtr1avGz6z12AMxRl/B0tPgUYDxfWk6aaxbje0MPI09m2GDWaO+wZIA1DFocOBxnOFegDWMI+BYYtFktS2QSbWFvkL47EOJ+81IgbrBEUS7zMqK0Ic4cLPhO1WDRPrqq0AyLLUFPKeaVRaSorFmze2Yu3jPeRzwRhStOa5ioq49sPppFTVdqBTDGILPGORrc2iIidEX6EVRWLhzRLz3+2qESxLHbyRZXewgvEeNFJwGizvFSjU7er98OfR0xpmMzHSZmqisywlAr+8qIh9eWnC1vx0qtRjcj4ALfDIxmYmxOfPxTUbIuNFEcHaCZNJA0607RSB/TgCd+F0Sv51QLwijutrM4dYeADMnLMwncrPv99rfNLpJI8+zU/88mdnKqaiVNCR09G2QOAVhNnf7XRfonw4hGDnzskecTyqAMwy3dvTKSmuole0aYyY942X+OxMsu7Pn/XmvvtOn+vXXxPgxHM4nWr/iJaPRsHDzHLAMfYLZoXTjAOYcH6Z6UzjrG3bpGg0uTew9Wdnugd/+UtSB0QQrVFIAGK/fauieL/X9x4O+jMzs3/+Z/2uy8u0X3OeZFmavtB+rgEYul01B4OBQBqzlFtRVcmixZ7GSND7+wSqAQbf3OjPYcrJQGBPYQoGZzhz1alBUGfRtPOz+OA577h+o5EtvvnGVm3g++EhgZOHQ9r3qUfIEOGsMtOfAVJw7q9W6b6RIYM6iM+B8gEQk/U9Gulzca9orgHuIQJQkQwGCteaThPYynPJOYayERAP0JjzHsAUsBUL3O2tfs+bN3qvnJ3RO58VhZrn21s1btGmEIZDjVtjhNj5uVjauN+7mP2R/5f/ov2iqxFnRV3bKWZQZF7jrEJZWh4BMn9/L9XM2Zl8yEWhRnq/V5jYeNw0cOV6bfVmI294Wer9RGtMFoPx3HAoafNuZ74orD47k9w9kkRhszHvvRRSz8+aSLHd2tn793ZfFApoW6/FsMaz2o/HZsejFf/0T40qqh6NLGNPXK+tns8V2Nnvm7u8tDrPLb+702fZ7QSCdrtWDwZWbDaajb5aKfeDkXzrta7j2VkDErm61jUJwdx6LSbbOZ0zVaXzMp6t2cePWu9nZ5KlQ6DMZuavrsxWKytDsHqxEMPtvflvvlEjGoJA707H3HxuHstMVVl+d6cA2NHI8njm1yEIUJ5OFToX1Q4NoTGf65nPYojq05NlZkqV/6d/shx1CkqzslRQHnsc6o74GgD12Y8/6nctlzrfT6fXpE2vZ+Hbb/W9AClRYs5IUPqSgFpkv9fn3241VWAykT2i2xUYkmWNRc9FosbHKUPnRWGrOJXJX1yYG4209iL4Q3ifB/z8nXz90aD/Bl/L5dLu/tt/UxKmWSrmvU8NGxJfGoO2LwtpLkUWh11VCTWHXZjNErPsvR5WM30vjQ9/R2MaU1htNlPxZaamlEOfZEYC0aI3tSnYODzN0oEHC8vh/OVL8rjhF2OuMuNjAAN4j1nWHBKvAlk47A8HFWQ0jHmeCi8OX0bBbbdJ1oasmAYbCR/XiLm2o1ECDEhXR86P5BXGHUYd7zbFISyHWfIT83p8TmSODw8JWIkFxGI6tRWy9Yg82myWGi5kkLC547E2a64tUma85o+Pr1PLKWho8mh4YZFpnCmeYQ0pRnh9ZvRSUFIg0QCxJqIU+pUnn78HtOFnYKIofrIssemAGBRMKARYJwAA+GTbG3T0+oUsUxNX1zpseG56PR2s/b5lKDbaksQ2806SP+sXn2ObfWuDElHq2YwUw5NnloAFCkCYeT43zxOv1/ZA0+DExOlFp2MrRlJR1DP7l2eYlG6es+1W7DIsUl2rCKuUDB+ieuQVIg4zCHjAnjIcpjT3spRsP66ncDjo4GUdAFohqzfTGJ3dTo0167NlMfFlqabSrCkEYGjD8dik2gaK9t1ODWtk0EIIKoBp+qK0j8C6xsPHmo9gUxiNxGgfDvo98fkmcdkBdOHJX6+bwMVgplnkTmm0jTqC/YP1Ohyq8WftA7ya6R6EoHsQZdMen+DppGe/zdbieQakpDkEUCtL8/f3KrJj2ND5YmErfMm8Dk0ujCFscVVpb6JY3e/VeJjp7y8u9HvxS797pyaSOeqAmYBx7UkfKIdolGMj06wbwvpmM+19rCnsM6dT2hNRB7Vl7mbJcgTwxHr55ZeUh1JVif1k/0AejdXgxx/13rAh/fM/J7m/WTp7Fot09vEct9/3aqXf8+FDmveO5LM9foygMZhdVFfsjyjdnp8FkvBnZklJ4Fz6fOz13a4aWsLnUEHxc6xZPJ3dbgPCLyYTnVWANKOR1sL1dfKpktmR56+n1rD/s67LMmWuABav1+kcAdxAksvoVtYm5yiqqU5H4EeU4zdqMs4Z9jLO7ywTqPTdd6kmABxEucXz0LbxDQaJlADAiOOyGjUFtgrUZ7F5cV++mMtz899/L8n2/b354VBzs5+eFN6VZVbc3yu4LARzFxdmX7+a//VXTaJwTmdazJhwzIvPczUuRwV4Zvu92du3Soava3POaaRkWSq07OLCMucURnZ9rUavq+R1q2urx2M1tVWl8LjTydzDg/misDLP7TQe6z2Px1Ycj1a9vEgO7pwk9wBVFxc2Xyxsvd1KKk1zVRTmxmOrr66s/PlnJX2HYG6xsOrszIr12vzhICABFeDZmfZkxhhut1bs9+ZHIzHPVWW+17Pi61cL33yjs+HlRf7qqObxh4Pl+73VRSHv9HotX/Rspr07KrrCYGBZlln++bPVnz5JhTCfaxxZWSoPxHvLP35s0t7DfC7wZT43F5U2wXvdr7hGst3OQrdr/uHB8pcX84uFGt7dToww88q//dZCnChQ3N9bxb25vJSdifX8/KzRbJuNZZ8/yy4xHMo6ZiY/e6+ndcEzmecCWyyCvg8P5j5/1mi9szOp57JM7LyT/z1cXIidbyvyzAT8o5zq9wVyROLPAd6gUo32kxCBweCczrSo/nVnZxpDWCt8ddHr2Wq9lnIkEp2+21UuwcuLhRi219SXv5OvPxr03+BrMBjY/n//3yXBnM/FBsEMIjejSYwPSXAuLWAQdhBwPL6gel5zCO3z5xRA1u2mImg+T80PDxA+a5riu7uEbr95o0O13QSCntOkIeNG2ooXnAMYlBupK2j/ly/Jb7dYJKbdTNcC5rvtW8+y5O/l8KZRr2u9d5h6GPJYKDcFPuADo21i4d6wS2YJMHl6Sl5u0q1h32laV6t0HQAS+HsOaJqyNnNGwc09gcnk93N45bn1+n3bc+9JpMXbtlymYDLSawkmY/wZ4XMULRQmbUkX15k1SGNFUcx4G4r7tnQUdrhtZaBQomBBrk0RSHEYmdWmQKQJp6kty1TAs8mzXs1SYYuaIQIRwSwdChTmFIAU1zwHSGUZPwajxBoHQKBJi8nYzXX48iUxmbEwcjynMDJIbs1UAHEwMTOX98R76Xabg7sJ/iMDAUsEBx1gEWx3BK56WWZ7rl+WqWAbDNLM3G63kYYh9QtZZm44FOKOBNxMcsB+X01hBE1ClHA61D6x0Qi9nhpc1kqWSe7OcwLqzjMc76PPlfjerKW2dWU8VvMLqBkVJKGq9J73e4Wg8QydTmLp9/skaY1rJ8TRLw5pbGwaAo17nut1YAkZURY9fE3TWiosycoYbsP6Zb+kqaCRQBkTP3/odlWI9vsqfFgv3qsQ3G71eeOzEupakvmogAmxaXawcm05OCBgXPchzwWsELq52VhYryVPHAzkH8We8fxsvTy3Pft9WVoYjwUWrNdJbs1ZkOdJOUPoGWs1egVtPFbDmWVqZB8ftfeRln59nRhZABFUSsi0UaoQcEmjjYf5+Tnte21G8+oqNfEwQnjiKQp5PfYLvPadjvbiqys95+xXzO8GSLy4SF7mL1/EXo9G+nwwa+1AUjOde8jcWSesR+/T+z4/V5OIWqktjX58fG0bIF9mt2sYrSYM9XhUY8qaRuHBM0fTyXWlQY0MZsOiozqgUQeYNtOew17IHoiH/+5O15LvB2QAyMf2ACgOuBJVJHZ7m4IfAeMAtVAAcE14LQBoszSNxXsBEIuF7hV1hlkCclFXQWJMp2b/3X+n7wHc5ywB+GrL77kPLQVNA3IsFgnQ/fw5WcViyrybzSzc3Mi3W5bNaDWbTCy/vZXPPHqrw5s3lv0//4+aKwrN2JDmg4G5+3uru5rT7fNckvPNRg3QbKbQyKKQX5rfPxiIcTyd1PB9+mTOOeVp7DU33fV6ClGL9VD+8GDV8aizZTQSM413//lZTGino/3z9tbc6aQgsxhA3Nls7BT3rmAmoLTbtfK//lerDgdN3Oh0rF4sZCFarRQeF73kdnmpf0c7Wv7woGA158whdY/vyZ1Ost3sdhZeXnR+LBb6+bi2XL+vSSKrlRrnUgF1rtMxV1VWRbLG/fSTmujBQKqAt28bVVV4fJQVoa4bBYQdDmLNi6JpUMPxKGAhBMu2W4Xd3t4KwJ9MBMhWlULyvn7VOfzDD/KOPz1p9jiZGJeXCdC/u9O5PRxa+PLFbLNR+Ntspma301EQXxGT83s9y9Zr8wCk/b75wcDyH3/Ue4nz3zPqQ7OUX/F3f6cQN6xbZjrbUIQWRRNK2oANsbZym4358ViS9DyXEiKeXSGCPhBtYT6XGi5atHpv3tiu2zW31Ux1F2s9t99rdGl8JAKEx+/k648G/Tf4KorC/L/8S2KeYTAGg8TWxJAGB/JKYwKyjbyZzc8sFe0wnhQs19cpcff8PB2wvd7r9HYOdpBmGqy213C51O9qM/o0OTCPZqnRGo0Sek/BRgOFxzXLzP7853RAfvut/h7mA1b88TEVRsjSzs7SbGzYEpB7fH14avDJE3wHwn5x8VrOHDe8hoHFy/34qOJivU5yRw7dszP9G3k575vCoj1eiCbLLM0LphDBLwvaR1Hy8GBZCEKxUT1wv2GqylKsVLer30PCMKAB4TwUpXx+miq8RhQTgDY0pHwOfHVtqSJrt52fQONKQ0azQyEFEEOzze/EJ0STicQRUAQfKs8F//B8AEgAGtD8OKdCoyzTz+JpDCFlLrRBgDxPqgfG6cDu3t+nAu3lJd03WJS2RIxi1Hvz3lsG28L743sBQmAEeb6YI4pyBqbvcGi+N3ivwoc1Hn9vNh5b7ZwOqYh0h1pjYqyqJP+LTJiPRWXGfTXTPlRVSQGSK5AN6Z8dDmrsRyNd414vzQ8PITXurIe2ooZri3qExqSuE8DW64lFznPN4Y33rnkWikLFXwzDCS35f8gyNft8jsj8W1kmbyusRmTjHM9Pv697en+fMgXi9QkRdAx5rnExu535zUaFCUBOuzA5nVT4laVeH3/qcKiC4nRqZs7741HvE+kfVpJoCaD4d8y6BljMc41XAvgDyItsShO8dXcnTyqA1nic9iEUQ7Fxy2YzSUtNjL2jUQFQ/vQpNepYZsz0/Ha7STXA3sOYQzNJw+OIpCYPhPFa3BueN9Yj1w0WlX0WSwJFI+wyE0rYq82akKVmnBgKFyZs0ECjeuK/2beOR50DX7+m8EkCyWB5x2Ozf/iHNIqOpv7NG33W1arJKmj2aJhulE14zFHUtUeufvedPuenT0nuPZulNQoIyhnhveoAFAPzuX7u6io111xDzm4sKW1l3+WlPkNdp2wb1joAbVEoBRqA5XhMyhCAzbdv9V7JvEEVyH7aVuQwkz42aI3tDeXY8ZgaexoG9nPW9stLKsCQvZO/EhtS+/57XaPb27RfAz6wV6FwIw17Ok12L/aMp6dkfSGIDsAe4qVtvyJkj/PPe+3NNzfmi8Ly41F2p8NBY7yen80tlxaiiseqyop//EfzqH7i/unmczX1+73lRaEzIMs0lg0AO8usIFfk8VGN3GymgLleT3t7rKsav3X0l7vHR8nWu10LUYJdx6yXut+3PO6rdadjeZxWUXc6Ck+7uVHex2ymZjvLLHt5aeqeIs+tRh34j/+o2exFofnqZ2dKmr+/V+iZc2bzueWRHfbRTgLxlXU6SsE/KRDPPTxYNRhYtlxaIJBzMtHc8mNMGK9r2QM2G4HjcYpHI+kfjSxMJpb98ovZx4+WVZUa3tlMzHm3K4aY8W/eS9Xw9CSw+5tvLN/trI7rNi8Kq2czCxAOsNGdjtRhsQ50m43VT0/yyo/HuicQUoNBk/Bvea57HIM9g5m5z58tyzJJ68vScud0TZfLtN/AesfRvuRLub/9TY0xI3apP1HQnp1ppFusuVysZ0Khee2N0qbb1WQB1niL/AjTqVLai0LjWTsdAQaHg8L6JhM15h2FHXKO+IsLK/Lc/OmUWPMILvrJRPfLKVguoEz7nXz90aD/Bl/L5dJWP/7YHGAZDTSS4PPzxGpmmRgW2Ed8eTDRpLCDxg8GSSrZHmtS1zr4YTKQpdEEnZ/r4KMQQD4GIg9CHx/Ghp1B4svDijyQjQb2mvAaJGL40Gm+KO5ub1V0ZJl+z3SqYoaGajJJo2AIyGkj1YyFwY9GoQEDCUuNsgBfYl0nNoFrhC+bDQZwpCj0Hler9J5o1Gn48MsxQ5yClaIfSR8FJ2AC1oG6FhgCYNLv26Lft9XdXfLT8Znw38NUbbcqgJCgMroGySPNHoVHm4XiXuI3NkvqAxphGN8PH/T3FEcwTQSxUBBTvJE30Omk4hEwKMqZzSyxDBTkNMowJjQsg0Fq5iikoiysYTEpjNqZDIAeNPItmb8vCst43+0Zx2Zp1BzPEyoNPg+F126XPk/0+oWikKzv6UmNDtcRGS0MPbLoiDQ396ffVyEBMBW94E3BTXPS6+lAPp10gB8OtlgsbBXnjiNXb5QEZmoGi0LzcM3EDngF44DwN41eTANv2O2ylPTNTIeiWZrHHlUJgYad9RYBnECDy+eBTY8WjXCIo84A/6oqhcO9vKgxPp3kZex01JybqTiIz0UoSzXSZWlZtKQE5yQf7ffNzecCEHj96Nm0omh87sjz3XgsmR7rnQKDTIUIwDTPSVSSBNLS8ehFVQTrzkXFCp47q2ux+pFNhTmxw0HFTltuHpuqgBIgMpYUJi56sX1VqSEvS7E4NLjIq8kaOTtTEeS9ubKUPeL2Vtch3jeCnZpnsK7TGND9PjXMZmm/I8m6rYZ5etI6/PAhSd1//TXtLzGlugm3RHYJeANQyEQJlFqcCQDDAGSXl2lfR8kDu7xcpvdMwQuzBzjFGgYQ3+3UpO52KZCt2319rvT7YumYfQ5gsVjomjF2CoATAHM+T+duXMPNZ3x4SLO1Ly70DwBAzA9olE2Pj68BLwpqzmAK+niPG4CafZ3mF9AWRno2S8nzgC6w/4eDLYrCVnz+9tkBKEFTjl+fM569mnXJz5OZ0um8tl9RA1xdpWcQ0BOFGHsKzyp7dxvAQHlUlgJWTqeUmcBeDtjK63LmLRavgSXAWpR1KBV4ncEgvVa7WYhjHm21soKJLaeTGi2z5l6EiwvLj0er3r4199NPFiJDamaWe29VUVi2XJpdX1swU6J5r6f9f7OxIipZqtNJe2VVSarc6Vh+cWH+/FyN4nCo8VkxrCvLMgXNTaeWPz5qHvfZmYVYa7l+XwAA6oGiaMDUEH3TNQGc87llRWH1mzeyL8Xmaj4c2to5heL95S/Wubqyaj634qSQubBYKBwsVzZICEFy6tiE5dut+fXaiu1Wdp9OR/uWV35Jdn9v2eWl+V7P/MODzvp+X7/vdLJ8u7W6LC3PcwGZWWa2XMrPnGVSNE2nVphZ+Od/Nv/4aGW3a8fBQGsZ1vl41Pi0WAMHLD/xM4TdTmqHCCJmZWn+8VFnzPOzks07HQESEHZfv2oN/elPjbw+u7vT6LxoM8oyjWZzq5UUCN2uhcdHjZabTpVxU9cC8yPI4A4HgQtfvwrQn0zMl6X+7vNnAQXLZbJ2tgB29/Ji4cMHgRKxmeZ8DXlu2eOjAuAimBT6fY0H3O00AvTlRfUarxnrzxDP9uzpSddoPhcTHiXrgK809Yt37+zu/l6fJT6fITbr1NOuqqQ2+KNB/22+fk8N+t0vv0jKEqWZoa6VPH1zk1ia5VL+D5q5fpyhHBm3QOhFXauwoqCleYXZZONvs4p4k2mOQcVgSENIQAAySXzEt7dJykuQGMUpTT1sJom8sBD4zjmEkfVTUOARrCp5/yh6SJlv+9LLMslmKCLMEkuP/JACDkakVTw3Mms8uQAGeNXv7pLE0izNWOe63t/rnoGYxxmVDesJm3N9rZ8nBAlJ3miUPIkAKsyTpRg4PzcrS1uMRpotSw4Ac23x+pql4hB//HicmF+aq3YCPAUOUlKz1Py15Z407hQ1sPBlmXyKbc/RfJ786IA0MNePj4nF4M+yLK3b6MNr1isMD5YBQCMKdxq7EBJgAhMOaAI4w7WCsS/LBLrEoq0Ja9zvlawOgxWLXD8eJ3kX1y42ED7LxJB2u2IgKKR5P7DEXGeeP6wYfGbYFZgrwAmyEtoASrer9w1yHkGQEAvn8zzXLOsobw7RMuFi0+XKspFFMvarmXG+26W8Cud0+C+XOoS5jxysm03yl8brEepaDXBZqqjodlOCOUoSFC74bqNUP0QAwFWVwurqmN4KYIAfmtErZvqdZSlGBlAq7kt+MjF3eZkC71BKxH0gPD1J5lgoUdaXpZLjvVcxGhvyRnHAfeHzxkbeTyYqVuP69vEauViUNYBHv6/rb6YGvSz13xGEcHEaQtjvEzCTZQJ4ACQjMxz6/WZGe+CZDTFYh+YO+wvP3mSiYKhWbkYDrMS9cFGWdtcCQx1NMk1fZMwai9XtbWKo2V9ovGiSCMTi2cMvPZmkGb0//5waTphd9nieRexTpIcDmHqfmnCUBAAq3a6aKSTxNPN3dymnBI/59XV6ZslGYW9EzWOW/NEw66jVkJvCTi2XYml5P8ejXnuz0e+Kz2czagyFW2wWmvMTyTWgOcGhHz7oZ5GP876xJLSbZMCLNjEA+wvLyzVENQAbjoINgPn9+xQUGq/D4uzMVijJUBRwfqNGQA3F2cfvR8nH7wOYKIo0Ux6lEhYazueHh9dedf5xLoH4NMecFwCybXWdc1ons1lKuweEpb7hCylxr6drMZ0m4IbPR+4OQBhgBuujbffa71M+xdOTWNT12vx8rhFdKBT+8R+tiM2MN5NcfDIREHx72xAuvt83t9moWcnzJuyMMyaw1sgKeH6W2ujjR3nGJxNJhQcDcyFYvtmoZs1zc1dXkjR7b77XszzLrD4eFVDJpI/Imud3d2qehkPzcaxrtt02Em7z3s7evrX187MV/7//nx1PJ8snE5FTk4kC3W5vmzPUkzex2YhVfXxMNr7ow24A291Oo9i++Ubn+nZrWbdrISaIW1Vpf+73tb9vt5aNxxpFR52TZRrB9ssvlv3yi7mqsno0MjedCqSGbLm+1hxums0s02f85hv50+u6yRGw6dTcy4uAgG7X8tXKzMxCtBu5WI/kX75Y/f69Oaa2xFFx9WwmBcN8LoC6203XyHux67ud8glQmWZZA8Ly/LiHh4adRm2Y/fnPavDx9rN3cBaVpYU//UnrIKbah0zBrI0iKdbOfjw2c05n6G7XBMuF8bjZs51FlVYEotxqpc8zGulMjUSTy3MLs5nYee/N9/u2nEwEJB8O5qdT1Rg893WtySbUSn806L/N1++lQZ9Op/b8//6/KgqnU7FrEdVi3Id7ehKiRdFACA+NEnK7eHCF9TqlITMPFU8i0rLJpAk28sejNh5mhcPI0Ojxe2mWSQSnuYgeIluv9T6YyUioCrI6pMzRC9M0K8gL8zyFijH+AMQ4emTs+TmxGhR17UMSWT0Ppdlr2fBioQKhqvSeKVTagWE07BQSNE8UCjCP83n6nHxW5iAj9+Sg5XqSAZBl+v2bjX4PRS1sFAUlQTKM1YkyyvF0as98DrPk0eN9wIyC8E8muj8kqb95k+wIMNEwUnhAkVBTBBKm1A7DASyhwCFp9PJS9xTFAgARvjpYEMAamJe2XYAGGoCD8T4U6BR70Q/WjHSjkKTZ5fspxtoS1/ZoHz4HDSbPGE0ODCDrg2vEvyMTm+El5NrCFMcE2kadwu+nMWgxymQzhPg6js8TGTyQaRhTG491wNPIbzZiPg4HHX5ZZuHszKZlaU+RJfHOiXnGG8o+3+mIoSewzCwVtQSL0aibqVluqyDqOjVgsG6RuQ5lmbzc3H8+69OTQmuyLDWa8V7QlGeAK7yn4VBy8bpupHQWQsreiBL3cHYmKeZuJ/k4ny2ugxCflWBmbjDQ7y5LFbAPD7qu+72AT9YQzwJASZ5rn2qzeXHv8fu9ZdttoyKwIgbHxaY9C8F8q2BGPt4kubNvdrtSdtDkxsYu1LWC/CwqB1jzce8IMO4oOwjJjInowUz30KxhVUNkPSm0JouFPb+8NGPrHA3cYJDUOoBgw2GSxxMGh2+QAEkaFOcEbBJ+B0C6Xus6Xl7q39Ez+WrfZ69vM4tV1YwKavI0UIHx97CvKK7Ozl77Eb1PjXCnI7CABvrmRj/TLmwpQpFLM4oT9RvycRhcPuvZmZppbFdmeu3NJqnHsCmgiuHetyefsI/sdqmxLUs9r1iyeK8kugNaYRsAQMFaFxunBlzl+mCvAbRrN+oAqFjgdjsbH4/2DBjUVkqh3sJmh3oA6XpbgYZSg99Bg8veSYMem8BGLYiS7/4+seXUCNzbfj8BnGZp32+rp9gvGG3IWcxn4uyleQGw5Sx8907XCkB8OEz2BhSO7JWouaISLIMsqGvJ1L/5Rk3MZGLu6kryd+esiDLlfL+3erls5q4XZlYVhYV+37L7eyu8t1OsSYpeT2oppL+TidXUl52O6sJffrF8MLAqgtqh17P8dJLcfTQy9/SkkLPInFYEWXovcDSCciHWmI7snOnU6sXC8qoyv9upyRoMLPfebLm0/tev9vLXv1o2GinXYzw2N5uZPxysfHqyY5R1u4sLebrj2nNPT5ZdX1sVgmWjkTJJkLSvVlbP5+ZmM8seHsyHGPA2m0kpdtAorjrLzO12lnuvxjcSVFm/b6HfV2L8P/2TZTc3skPFLA8fswTC6WRhtZKcvdJoMJr7+ocf0ihUguC6XSsfH60ajRRstt3KYhaT+LOiMH9zI1b/7/++AYvt4UE1R7drfjxWVgwkW0zXd5uNhWjTDO/fm+W5QIPRSGw5AByWUMYnDocpzDH2Hc24NrI6ot0V5UJ7HK+PYFJwTsD/ZKLPGs8iF1UsoSyb0aNNT0MdYaZ9eDoVmFOWAtvj2vPRctdk3xyPNhmN7Pn5WeTJfm/etbJgskxgjXMprPZ38vVHg/4bfWWPj0LS4gYfQJCjzLUpnq6uVBQRLkMoDEWRWWo2IhPmbm+TPNi5xJaDlOLpPjtLAUqbTfIhmqXmjQKUpufp6bVcjgLhl1+S9G06TaPbKM6enpK/7nhMcsc8V1FweamfWa1Sci8NK41sO4wNuTiHN4cbDQLKAxp1CpX5PCWfc4DTABZFAg9gd2ksOOhfXlIw22yWvPIwKjHtswmyofmjmKBohEmiYMN7bpb8dxQS/D+yfeT/NPERnWwaiDzXe4CpmEya8SF2OKiIIiSQxqPlr22YdJQG7eAcggbxOlNMmaWGe7EQk4B6ADaNhhAPNwUi8kr8eNH71uQEkJNAEQmb3O3qs4AMs4kDDvF8tJspNu0YIkPDFSyGmcSiwPAqcc9hULh/7VAVGBuY2FIzO22vsSEO0Ie1iZ0AgIViqYgjSGCraEYiy+7nc8vGYylnojzaPz1ZRvMe0eFQFCqSjkcVVDSdvZ6QaVQIvBdyCaLczwYDvReKT7MENrRAwmamN+qaeM1Ct9uEsrwCEr1XU7ndNsxVk0QeLTrNfeA5yLIkyc4y8yEIzNxszMVCkyIoxEYmFIX+DJCIfYKpGXXdFGih0xE4sF6roYWtxLLCWkeeXhQN20giL55PHwszB9AAwOKcLAdFoesSvZ9NAcF6fHpK4Bp2GqxNZvqZ2JQGGk4zMQ6APTR8NHlnZ5Iq9jRyzXo97ffkJ8SC2rJMScCjkUL84vMTkODTlPH80iDO5ykwjj0LwJKm66efUsgm4WwAbd2ufhafP3sNoBtzwb9+1fdEVUWzV8HooDKDPUdJRPggKqt2wCV7CPYrQD5AYVRg796lpvXjxwQeooYJIfnw2WsBvWme2Ws4M4pC3wtLGwErG4/1Mx8/poabPYEmFDADMB07DHsaa2E61fXGp22mn41TGpoGHsDFLAGikbVs9lquGQV62/rV6by2STHaqa4ToEDNwH1FGYFCp62mIc+FvZZ7QqP9/Pw6cJE6AxAc5p8sCdYA74OGgt9JY07Ny57Ifh/3DMtz3S9eg7F5kBA8x9RnWAcvLlIQJvdluzX729/0O5D5xwbE7u8t7/Us3NyYPzszWyxEvozHlv3lL5IHh6AxaaeT1UVh2cWF+ZubpuEMLUl/ZrId+ehBx4aTdToWlkspaF5eLDs/t/zjR6tiYnyR5+ZDEAO/3zdKn+zXX62OoFpW15IN7/eW9/tp/NpgYMXjo9X395Y/PVkdPeL+7Ez7z27XAHqh39dZ8i//YkWUPIfh0MJ4rM9/f295VUnVNJmYPz8XMDkcyo708GBuvba837d4YppzzuqqUnDbcimW+fm5ySDxvZ488tHzTNhYiMGv2dOT/OFIx19ezP7lX8wdDpaXpZ2i3zzM52qUIziXsVYjSBQuLy0sFhohFmXn+XBoNWdmrJUbe9h0qvd4Oln++bPZ2ZlVl5fNnpk9PEhJkefym5elmPtY82cnhf+552cRcm/epHHI1PtOAanuyxfde2pJ58x9+qSagRoxZji552d5wp2z8OaNAuzwjke1nTez7P6+UTr6+VxnHqHFu11Kv8cj3zrXQp5L6bHdKvm+10ujTCN5RmI8QXShVaeGXk9/FtW8zvvGlsCZ29Qiv5OvPxr03+Dr/Pzc7v76V22ccfG4mCYeIlLuTJuqFYVm3e52aQa3mZogDmxkhq3mhzAPCt+m0MPDzKEe5aUhFg4OmSlMLEU8KDnp5xQCFElmqYkkyGa5THJrpLwUHO3Dm4JwOlVAHIUVBQoHIig974cRPjBybWk0TVWbAeDhrKoULNfrqfCj8SRU7nRKsjma0NjgNCwvbDn+wsfHVCxQBN3fp0IGxh85HEg8YYEE/NEkwrhGkGF+fm73ACnX1/p5EmvbjC2NH6wDxQMFM43+YJACf56fU2OLHDI2Ma/Yim5Xn/HhIRVbSHaRoK/X+mcwSLN8Tyf9DsJwKBSQLlKERplSA1h0uykskNR0ZrwDzpxOWmtv3qTiFwlfu4GIh3nDKHIP+F0gy4QfcX/MkoeQZ4K/HwySLMsshR/ipaRxMEtFfZt14d7xTLDv0lzF3++43vjlY6MSorQ9MxMyXddSyZwUZOPq2haTidbN8agG17lmnEkYjVJwHs98ZK2adHGYXJQerOXoZcRjaBYl8rx/FBaHQypcq0oBZYA0MGQxYK5hxWNDGSLAlSE7LYokwa0qJQrjE95s0jMLQIgdYjYT+h5BuKz9d+1JAOwfSOjLUlYjM/OR5XbsPyGoaKGxis9fiNfARbC1eS2AOZoipN2g+kiPAfXIc2iDTXku6ShrkKYJ8IAGud+XeqHb1dmx2ei54bV7PbPFQmzEet0U3+EUA3ZCMF9Vdj6Z2P2/BkRRbGBziUqO5j4jrz07S6AcstvPn1NxzjUjF2S/177GPoMCJhabdnmZ1FRIk/n83HeeD84mQjr57Ozt7GkobNi/sGjQcLJ/AlRfXuq/f/klNZrst9i0aLQAvp1LwWGootgrAepGI+1h+LNpMkk8N0vPE+c5TTXPLWouLBwAYcjrARK45otFWv/t12DdxYCpRvHAPgZTzPpDMcX+sN/bvNeze5h7fOpIYwGgABI4X2FZOc8ZQ8d94/mhIQYoaJ8vNNyRoWzOMT4j+zRnPXsV9QOKp7ifNtk6MO8ozNr5CwBH7N342Tm7uV/v36fsGPzrWabchedn1VbTqdl6bcVqZdX330vt1O2K5f3LXxqLl+/3xazGgDV3e2uZmWVVZdV0qvFbUZVZmClALgQ1K/u99s0Y+IsHOPz8s15zMmmsTqw5Fz9X/uOPdjo/tzLL7FSWStrGdhl96MF7MeyrldXHo4Xzcyvmczv1+9rH61qNuvcWZjPLbm8t++UX897bbD63p7K0ejrVewK8KQpNuChLjUKLyfPh40c1jZHccnVtriytRsI+HkuFdYjTRkYjpbi/vIgFj3tDhlKpLC17fLS617O819O1+PjRiutr895r5Nq7dwKNAZJubhQgdzpZ4Zx5M3nkv/3Wiiyzqqosv74WAx+bRx9B7HA4WP74KJDi/LzJEXKbjYUffpCVqSia/Sucnen9x9o1OGfZamV+PLb85sZqatN37xQut1rpe0cj9QQRtHJPT82otCZk9fNngR7z+SuQoV3ThLdvtRYOBwHPseHOIN7w80dwLwNAw14Uz99wOIhQCEEEyWBg2dWV3mNUBDgsmVGBGrzX3+e5zqiytOx4tHo4tPOzM7u7vm7yZxz3gL6DerCtmPodfP3RoP8GX8vl0lb/1/+V5iB7L1SoKFRMrdfybUynkrkEjaYI3quwvbtrELMmkAf2odfTmCKKkG5X/w+SjFQUBJ0gl1hIhphq606nFGhDo9wO7BmN9HBTBFB0UfQ8P4v1yPMkuaNAiXL7hpkG4QdNj7M37exMr40cDgYEZP3sTA8/DVwIqUg1S000hzx/R3FHAUgSPJ8PJgvvvFlKckeySBNIEYXEkoR6mlcKLVKJKVI2m+SHozHm7yl0kDZGKeFiMrHVdpvk3cgoCUSCbYfRxaMFYEHgEE3py4vAmCxTcYCPEDXA6SRJHteI94lUFXSzPaM2SpAtzva0r191zd6+TZkArAFk3zCFHApmaYY4TBxpvPj6Li9TUj1gz8tLko/idUdJQJgbTMtkImYxBCHrHESg5jCmFJ4w6LGADBGh5R77TqcJLWsQXwq/dkAehR4FHfc9svY+y8S439w0YSj+dGpC0MxMfuWiMHc8qnEsY7o2DTVfsfFfDIe2IsE5z9OMbuTeXHfsFm11C4UaUrZ4XfxgICkdh3f0MzbrA1UKrBXsfFCyq5XRb03oFM9CZNUdbFMIYp8tMsXdrp4z3heF9l5jamgueYYCRUG8X+HlRa8NULffq7gzaxhvv1iYc0p99d6rmSfwrtNRsnpUJ4W6lkeS64PnDuD0cJCSoa6VD4J9g0Yg+vKbewGoWCi0z0XUPzw+SvYamTPHmmQtO40RCsNhGoO218i5xncaGZSMa2Qm5Ub0jFpVSeLe65mL728xmdgdjAxeWX4erzbgZlEk9c3p9Jo159yB8f7b35LlhWeNfRUVAw0jcuLtVj9PUYldiAaKxjYWwU1gFyoimHcavnYeBaAD9w3bAo1o+7nu95NE/dMnvVesMIA1rMtOJ/nfsyzZuQAYue/dblIUEFjXBj0JeGXPACRi6gPAGSqy9kg0ZOne6zxADstaZD47tgpsHKgByGlAkdeW5aPEabPTdW2L83N50DlrolzVqirVHcjTub7I15HWs2eQzdIGOlGf8GxSk5i9bo4BYllHnMt8dkA6AB3OH+4zdQtgLcA934cC0CzVGqiOAPy4x+xZb95oDYeQcld6PYFXq5Wev3fvJA+fTi378Udzj4/ymcf7HI5Hcx8+yJayWin4q9sVy7zdWhGCGnQzSbTj2ey2W7OzM/MxhNPevDF3d2f266+WOWf1dGp5XasWdU5BZljzXl7Mv30rJjSy12EwsHy/F/A7GlmI53BYr3Vmzeear+2UQG6DgflOR6PRBgOzv/3NssdHC0Vhdb9vi+XSHuJnyCMI7vt98+/fK6ysq8Bkd3tr+ZcvCr/rdNSYAw5vNmKioyXHZ5nlsO/ei4QqCo0mi69fdDqyJMVQ0Bp75a+/au/z3rLZTERWBPPD/X0jKbcYIpc5Z64orP77v1fGy+OjQI/ZzNzxKFtTfP5crJPDZKJcl+NR96EsrX77Vix5UVj+/Gz1cGh5TLK36VSKABSFZgpA3e/lZf/++9eKgNgX2HAoy1BRWLZYyBde1+aur/Vak0mq26L60WWZzsfh0PxiYdnhoDMxnks+zzVCLtZVHgvobieGParYQnxmXHzWPWBNUWiN3t1JwZXnup9x7/CTiUDxohCoFBny4L2u5Whk2eFgi/nc7mIfEPI8ZemUpZ4NwJjf2dcfDfpv8HV+fm53f/5zgy6Fblc+m0pJu6EstQDv7rS5T6dCy8qykXiE00kL/Po6jfeg4EOCG4ssJKUhHqiuPcIpyjsblgCE6fxciZkUnrCQZqnh5XAhDIjmnWIJ7zHBd7DqbY9lK6CoGXlyPCZZznyun8ETBhLOwVcUatbKMjFSsHNRFtM0kLw/GiQO07ac7ewssZmMsaOIQ3JJY2D22gdOk4i/niIRhjjLEuBBcdH2XCNdhHFvF61nZzafz+2+nUILQwxI8fiYGAj8gRSoHz6kJrftY4RloNEdDlV48z6Q7X/6lKwFjNrjOsGokNCKt9BM1/P8XDLXhwd9xj/9KTVmvAeK37dvk4QWdh6FAX7FiPhaVaV7v16/ThhH8cBBizoBpcN+3zDwodtVGCOseER1G8lkp6OCiIYBfz/f1zoomyLSTKmxSBq5H6z9WDgGmoXdLqld4jOE/NuyGMiDSqLbbTxelmVqzmk4aNwABcxsPpvZ3eGgpHWAKYAK1iANFoVxW9Ifn5fQ6aQmOc8ltYed5LpHViswIi0euBkNRYuhDhyi47Fl7C1cS8A7nklASLylAF2AZMejhdlMcr+q0uiyTscctg7vU3OGEgLmtZWu3vhx2RuQX0Ywp7GS7PeyKEXFi49NrYs+TQfQh9IAYAR1hY/j9rjWPE88j7udit72muO9wyhFICzEEYyNlLosVVTlubz1rB0k8PHZ8N6riKKpjXJFK2KCfQhiQqOqKMRU9Vcp9rud9oM8T5+VawTjSHDXeKznlb3NOTHR9/f6+fE4AXXIprHI8P1mCVjF+gSQzL6IEuFfN+p1nSxiVZXeByoRnmeatViY2nSafp7z0iwFzl1c6DN++pSaLUAnAFPY37bqiEaVxo5nq99PoW007SirDgc16lxr7it7IyAqexG2OfYcFD2k4BdFCmsFdEeuDzAOMM3aITOA5w8rEIqhEGyeZXa/XqffAfhB9grKOoARrhnnCYw+5zV1BhkDPCs09dw31nNsmhrlDk01tQb7I5+h/f2sCQBnwhjbAAgAc6+XagFIB+T/7GMAPeRBmCWrDOAIZx45A96bC8GKH39UmruZufNzgXyDgWTOX79KMWVmBjCHCisE895b7pwawjpmhrx9qyY1z9X8/+1vZg8PVg8Glg8GFk4ngYtOGRnBOTH3kbHNzTSyLDLV4Xi0MBxaVlUKO7u91Wzr+Vxp5f2+GtPI2nMvw2Zj4e5OvvZ4RtjZmZ2Nx3Yfwcgsy8Qq9/vmnp/lI99um+k4xWQifz7nbfyMYT7Xv6MNyvX7Vo/Hlm+3qqvr2mpqT+fM9fuW3d1ZlefmhkP9s16Lyd5qrnZ2cSFP/GIh0PfuTrUxz22sye3bb9VsPz6aXV1ZGA4tz3PzkEJxHwgtptv1+2Y3N5Y9PFj48EHXI57DbrPR54nWOZvNmjM3lKVGbXqvZ2m5VO329asUbeSG9HpWH4+WrVa6j4tFGltMLhR7b6xF3eOjztOy1L3k7LdoQysK84eDvOG9noXBQMx7COov4hkYhkP1K94rB4b+5PlZIEqc3hBmM90L1Ebsd8ejPkshO2FA3RfPF7fbmctzmy8Wdn99rXtTx3FqeS5QHvUZtdXvqFH/o0H/jb6y6FsOnY4QPUabDQaS2cTi1edKWHQxqdIGAz0M0feBh9oxpgtWhQIhFj6+q/RkF0NOQpapaKPwgKGggI5SFOv31TTFxiVst5Ljk1Se56lxp6ihGGADgz25u9P3lqUaS2RubaaUA4+GmmZyMlGhdHmZ2F989avV6wOPebE0GfEwaho4GPK2lJXDlEMX5J2ihsaTgx1WF6kpCCX3EhQ/yrKaoqItxadY4+DmUEcVEZHbRuKK8oDChOuHxNs5XQvY7JakqGFC3r1LTTDZBhQ5SJ9BUBcL/Xu1SuFOh4Oa7SxLeQNm6T1S2N3dpbUEG0Fx/vPP+j78lxSwsE3HYworovGlIWO90kxyP+bz5N9k7xqNdIhx32JTHgYDMYQcrrAbMMg02TRp83maoLDZJMUH7I1Zw9IFPGGdTvq+dhih9zqYWPd8VZWY8CjTs+EwsfTdrpDxCM4xxcHMXitWYDYpRmGlKXLNdBjGJsrxbHS7OmxpqJCzoaQwS7I2AIl4z/xJYXZuPrfQ68k3VtcW9ns15RTAEXR0o5Fk9YeDQI920jOKg8kkhaJtNgnUCkE/Q+EcGXJ3Ogl9L0uz62vd7xDUKFP0s6fFBshH/7CrKhUUNDvjsTyXUQ7oikK/ExCt31fQTlSQZM7pPu52KY/CrCnUQ1wLjiY8i9M38jxlAsT914cgVQTACA1pBBPCdGpusVAAXHym3ctLA4JYUWjtsWehekJ1Eu+hj+NyMiT5eDABhuLz6gCo4nrzd3cCIVAxkRPCPGr2JhpegLs2aLRepzOFtVrXUgJdXek90piaJcAYFRLrnaaKtTCZpMkW7MkoYWjIOYNaSodGyo7FgHMNuxJnGs0rKeRmCSxGzfX997ruv/ySgAKA2faziCSc12HcndkrYK3ZgwEEyzIx0d4nqxJNNz/HZwMYhjEE2OSZAKTlGvG8tq1knY72f/ZJzin2TM4Xni32ZPZh9mtYPL4APgD4eP800NxjVE2AxzTMsPvYhDgP+TOS81G6EaQKy07RHlU0jSqBBpvv533QaDNlhr2da8JngyWHVSePgPqmLBPASL0xHOp54L2GYHZ3Z9nHj2o0x2PVgeu1LGO7neW3t1ZnmZXe27Hft+JwsLosNeUiAgah17OQZZafTlaVpdnlpcK1zs6Uuv35s2Zxx9BIF//bkTux2WjM2rffWrbdWtXrWV5VVvd6Ypqds6LXszo+c+H+Xlar5VLp6Cih8lx7F01qBOyK08nqLLO817Pq7Ezz2KvKQlVZ1u1a9e6d2X6vPTbWb+7nnyUzLwrt71Eq3kw+Go30594LHOh0pCp4edHr7HbN2K+sKKyuayvjXHQ3HOrcubkRO348iuhaLKzodq2ezy08Ppp7ehKbvd1abqYzMM+t/vf/vlFp5dfXVi+X5iLTG/K8ySzJHx/Nl6X5Dx90rX/9VYqyOB0ljEaq6avK/GxmeVQl+vncAs97p2P5amX++Vmv//69AJnNRux/BBOs02nCON3FhdLPnTN3fa09vyh0drKW8ZUvl1IXzOeyMZiyVoJzAtxXqwT0LpdNM52hgo2An/NedcR2a346tTzOdrfRSIqRwUBNtZnOlRAsnJ9LdZbnYsiPxwbMd8ejwHDqEQAPM52zka13da1zjLorBK39du30O/j6o0H/Db6m06k9/8u/qCgrlOBueS7/Hwxp9IeHslQxFz1gjpC2nub82Xgsb5GZUCvCwEDWKZhiQWvTqWQpNIgcMCDD+KQp2AhayXM98PGQCfyu1So1wcjCYec4bGDOeA8wvlWlgxa/Lr45JM9mqSAgdA2GYT5Xs0nTTeNE8MaHD3oQr66Sz5CDFJQa2X9VJaaYhorDlEYObygSQJidNivAdaLJpyDd79WIIn9vMyUUeRRHMFCwNK109/FgYM/tNH0KK6wGSLAJ42PGLkUU/mf84d9/n+bxwmBT9NLQe6/rOZmklHO83qTW459se/643ldXiSHCqz4e6z3f3qpgJmUfFmY2S6nv/b5+X4spbeSdsIs02qz35TL5G+O6Y9N+JSllVA+sCc/M+XmTGB28F/gFu8L3OpcAhnjANGF37dcsCjWRSClb7JbPYtptUTQyvZBlAg86HWO+tzmXpOSAGLwXs9SsRv+qQ4a521kws0lZ2jOMWyyiQ2ysm5+fTLSPkCkR94Zwd9ek2TZFZUTnPeswfh57fk7yaQraslTKbV2r+WyvyzxPyd8AUNgKaOhgliLAELJMPsfoOw/PzwIeecbxxnlvIQTL2ItiQR46HYEHrM9OR+h9bLwz2Li49nycYe7KUgFEIUhOuIujYmioUNVQwMdmyTsnFjwW4s1s+Uwp78651woIrl+eS4o6HJoLQfcKsKK9rrrdlFMAS4vSparEdOW59ut4nQPMAs9Dlgk0wSZl1jQWk9HIngAo+32dMzQ1KJHwbSM5RyXQbt4A6rB0ENz15k1q7PJc5wkBaTSlSMZRMLCf4JVm7QC4cq3Yw1BhtD3E19fprOEf1F/xLG3A5oeHZDeCmSJbgfeAbWI4lEKoLM3+8peUd2KWZNwAFmba/5Bf8myw/yL95myaTNLPj8cJ5I6z7q39nJINwLUBbKGobWc68N/cTxpdAA6uGdYsGnuaZ8ASwIhOx8b9vj0TlMfnQOYPIIxqguYaxh4wjKa3bT/iPZdlAiJgxHntKLFt1jEgRF0n4BwFFJ+XvQZglXXLWQPQyFrtdhNgg+KGvwdoxCYAUIXSaDAQWM3zwjk2GuksvLuz/P7e6rK0bLm0LDbj7sMHs8+fLVSVwuG63WZ8VJZllkU5d9brWd3tWnE6WXU8Wj6bWQ0oPZupMbq+1vn25o1lp5PVZpbFBt+8N//li+VZZtW7d2J2Ox3NZgcgjHVJ2O00GuzxUXvy5aVZt6uRZvu95NqTiWaxV5W+d7ttQk2zmI5up5NldW39srRtqdwP//CgFHEzc6uVuetr86ORxo7VtYis/V4z4edzgaYvcSxqBFN9pyMmNwaU2WCgfTD6s/1+Ly95ZIjD3Z1lT0/63unUqvHYbDy2Yjw2//WrGtRcI0qtquTxPz+36ocflFZ/f6/Gejhsktxdllk4Hi3z3tzdndUfPpibzczd3Qn0vLhoQNEsZuyE4dDceKxgv2jHs7s7vVasd7OXF51Pb94o5DSeP2400nSoECz//Fk+/MvL16w5hMR83hAy7vY2SfjLUvkkEDdmsuFWlcjFaE3yMfTTvbyod4nnRMjzpLTKc32euzu9/vGo+3l+LmCH/WYwUEO+2SgAL8+b8DjzXpazwUBMvlf2QXZUVs5kPLanzSbVUexHnFc867+zrz8a9N/ga7lc2uqvf9WmHwuXYJb8ht5rEcJCZJkexIgGhdNJBSbIf2zWSVm0w0EPC40rBw+FAAX5cKgilmK/KBJjicyaQxXJMc3mZJKKxOfnf4uyw4rSlPJFIwmiz9geig6YfBgpCn0a9jhipCmYOh2NIBkOU+GH9L8o1MSfnwsQAMmmkYNZAQ2HXeCQp+iiUIStGY9T0AvMLrIcwmlazOErDzjov1lqsGgUSQ7mvlJQxM1rkee2ouCgQOIaRG9Sw3IDhsBwIdFjww0hIfnffJOaboAHwpQADygs8DxuNloHi4UOfPIGkFCxf5RlAiHu7tK8YCYJXFwkL7mZfhbJJg0DRQxzOmEGKWIpLnmf7RR61hkBKchL43UIIeiALksFiHlv2Zcv6Vq0JYlnZ2YXF2r2j0etw5cX/T1NKdeZwwF5dQjpeUeiDEMN+1nXkiN6L2Sda4DcMxavoSiaRFvr95uxLtyvRtIcn9vFdKo56O33BtAWA48c/n4sENz/LGsagTAeq7Ez0yFL8BNez+gZDWdn2le4RzDgZmoEkZJTHPMc0ZyiNOEzRJ8hjWgGUIN82SyxkpNJCndrs9BR4m8hqNiJwZgZflSsKXEeL4VEcE6j0rBF0JgBXsLMm6X3673YI/bmohBbHYuRUJaSpLM/o24Yj7Un9/tSSlD8m+k1i0LyS9Yx+yh+Xt5flBSHECRRjEBvhic4yoMbGbz3FvZxnFyL5XX9vnIv7u4E/kQva9ZW5KBOgLHpdtP4TbOkUIJNhqXmmcGnfn6u/YRm/ulJACBsfXs8G/sjLDQKKK4Hz41ZUinBUJM3wnON/B6pNg0Wzyz73vGYlF5lqfeLpDkGLjZKJa7x99/r9/36q36W8w2FUlk2uQxNVsdopO9lP+Qc5GfwcyO7JoV5OtX3Mn+bf2iE+T3sjYBI/IOSoM2GRyuHmSVGHQYK1RznH68Zn4fFeGwrznxAI2xF7Bk04IBojL/M82S7A/Ri3QBw06SzNjgDUY+NxynUkFoGlU63myx0BBXyOgDq0c7RjBDFNsVeNp0mWwATbe7vEwvPmTMY6H4C7ER5NDlD9s03CchnTzseLRsMLCwWlv/4o4V378wXheW3t1ZFy2Iem1pfluZ2OwtVpf0hno/5divVVWRRPcFvP/2kRrLfNz+ZqMnrdjXCa6/54Pnnz1ZfXlrW7Yopj0pPM8nISU8vDgdzNzfmjkerI2vuisLcfm+1mfaqXs/qk8KHXWwMizy3U5ZZNpvJr+29laeTeTObfvhg99ut/MWXl9rH/vpXy08nAQ+7nWV5Lna1qsSYLhbNmDLX71vodMwPBgJQnbN8tbKq21W2S6xji9XKTt2umPBuV0GZDw+Wvbzo2sxmUqouFtoX1+ukXDsclJTf6Vj2zTc6S9brNBO+15MaCna309FevtuZ/elP2mO/fJGf++JCn/HsTD3AdqsguCyTygslxuOjEvQfHxWct9tZiHPVs/VaYXadjiwBrLHt1tz792Lk81w1MWdntM2+mv7x7l1jT3OlAmid98o+KEvJ7bdbTU+ZzxslT/b8bH671VrBUlhrBCip/e54FCsf97kwmwnkiHVsmM/VjJtpHQECcg0hLtiP4jkV+n3LqsoWHz7Y7c1N+pn4Pf+GNae++J18/dGg/wZfy+XSVv/yL2nEEAErFPkg0SBQoO15bj6i+Fldi42hke90VJiXpYrAQgFODtYOdItCJBYhodPRXHSY/ONR7BqMJd4pfNj4tfFWMyImNvvu5ib5UWnO6jo1IgAByPGRqAEGwIIglw4hJW+bpY3l+VlSQtinbve1pwsJMWPZxmMdhhSFXHNkcPwMXjZC3NqeZDx+POBIPEHrabC9T8oAs1RUAghQvJLADkOA9KedkM6fbza28N5W3AcKAZpVijDk5AQpwVoD2JilMDg2wbpOrPqHD/o3zQGfgdyCdsE2GKTi9P37VFTjfSR4jutFxsBmkwowWOHLS33P42NSViAxpxClUUUez3NCAx/ZKt/rNem3TVHNcxWR8ebaOKfgMNgNM/0+fJaDgQ5g5zR/lvtCMcp7oDHgXnrfHH4hepP9dCo2NDLPPjYBmZnQ76LQOKzIrL4KFZxMVGRNJhoncn+fGrLouW5mjbdBBTNbzGa2Qq4LE308yqrCmo9eLYdfs9NpMiwsy3SYYimJFpnQ78tDPRop3A6fY3tSBM0Sh2QI2id4/swscGgCLERwycd9wdGAmSWLAd7Vfr8ZK+d6PXm8nUtSeJrk5VINaVEIOHh81N/NZirA5nMVArGQdzRup5O84GZJgQLbG1lkXxRq9KPE0rxv7EevRsqQ5cF6jEqS0Okk9hurAmqHbjcl18bPEyKA04AFed6Mm3ExXDJEFYcrCp0TIUjeGCWXFsN+XPxvh53pdFKhH5vJ837fVpuNVFes75YKpFGvACQURbKnMMpyv08juwi/ZA/HarReJ+vQxUWyRT0/K9gIC1hkxho7C3skNiMadZ5LGtQob2323sGgKUjtcEgBpqw/7C7IjgnYBFBC5s2oNKTLqEAAnLwX+Pl3fydwOco6GyAVJQLAJPYx9uD2voSlhveHcovni5R5AA5kqADXAAKsZc43GnPYdfZlnh/OZxRogNyDQfKrAyTE53hRljqr8I8PBmn/54xkj+C60rTTUKCoAiADAOe6tZthfoYxdijdUH8BAnK/adQhIFAahKDryj6DumK1StfNLKnvIoDY3A/OVmoW1HeDQap5GA16OMjulWUCc5DZO2fZ/b25zcbqH36QnPjpqVG9+MHAiiyz2jmdWxEgc6M4//twsGw4tDo2yNloZP752fJPnyxst5Itd7saUTaZqObLc7NPn8SSf/jQ2HBcXVs9nSowbDBQw7PZWH44WLi6srzXs9PFhbkoYQ97hayF8Vg1qvcWNhvLnp6sCMHqPLe827VqMLDMOY1xyzJ9nvnc5p2OPRyPClV7eLD8yxfzZmLLW0qOEEGVfDKxOtYkYTw25zTrOttuG4WTj17qrCjU4MdpAX4yERO/XmuM2PFo2XisP+/3rY6Nd/by0szyzqJUvp7NzP/wg5j/52cLd3dqMuvaslLjKX1k7LOrKwGc33xjFue1U+vVRcw3QW4+nTYqwrBYCASn5joclEvV72tufbReBZ6LGG5qnz/r3GGdRQWqc07p5lE9ElDtDAYWLi4kHx+PVY9EwsCyOD5ttdKf9XpSxEWVSjMhBPUQVqQQ1JBfXYlcLArLvn5VYKCZCIWo6gyzmcZOx6wedzyaj/VCdjjInuucud1OdQ5AdwS+fb9vy+nUbh8eUiNe16/9539I3H/7r99Lg14UhfmffkoHXmR7XDxAgvd60PDR5Xkju2qkI1E6SviPa7HgjR8xKDE5eK8CErQcWTjNEYdhpyMGx0xFHJJrCiAePgotvid6dZBeh8FAjFx7PjhFDQ0ABSlyUrMEALQDxJCYg0QjP+v1ku86Bp00TRUeR2QueNJvb/VwfvNN2rgo2DiwaUIpHAE1aPAoTqfT1zI9AAaK63aoEBJFPptZQjIp0GDeSdBGRomX/nDQ4UFicrtAp5inwKDYyfNm5NIrST32BQAGWB9e73RK8u02QwJbh8SUpm+5TCz9+ble6/pajRq/d7FIhdDplIKJbm5SKCBze9sWBKSpFJHIqgGtAHNYP5tNGlHXti7EZtCKQsUHyf+ZQhmbkR9RJhli8enwIj4/pyYF3y7PBmBWmz2Dqe10JEujOTUzi9Ksxk/Z8n41hW6czexJMf76VYdhnusztr2aeZ6AHApIivFcEx087DgsdXwfzfhFMhR47zRdkbGBcXXeKyjHezWisF2xUA+nU8PitFHrEIuDZo31etrLuA7DoRgRmg9kroeDOUbvRTtA47Fv2YBA4p2Z9p+zM73fWIi4+/tGZeIPB6Ww57nkgl2NuQwPD00QYMgyNc2oNJCssncBHPV6TSBdwEZSlmJzAAn5+cGgGfsVokKhYVbifQxRju1gxFnrqJBIxcW3BzNdls2M+KYBGo8VLGqmMyPmD2RtmXwIZvN5GpV0PDZBpC7LLCvLJv8gxCbHnU56xtq2qG432VJgZMdjPfeoTSIL1IC3hKHRtJ1OiaEkgA2g8elJ0ncaTZ59WFj2w5eXVCiapT2D/Zzm+fEx7RXv36fziGYWCw3nIwntTL2gUYyZLlaWavj7fb1X1gf7JGfkf//f6+9//DHZxmBmq+p17kec9dy8X8AdFGrsb/wDGDqfJyXTeq3X4qyl0YSBR02TZWn/gW3mepmlM5hmHOaZ94C6Lt7HrCjEtrYVFsjZyZfBZsI1RD7O/kVNwfODVz/Ka5uclnbmCtehbUkDoJ9MUvNu9tqbz95PyN7Li9ZmlglY4f3DktOQHI8p94WgLQAY1hFrG2CprrUGUKCZaW3v91rzd3eNVNl9/Gi+KKyz3VrViaPSBgNJyGPIsDs7U+PBXoq1AeXTL79YWK8tr2urFwvVds4pwOzlRWfDzY3l47HVEfhysc6pZzMrHx4EDj8/ixm/vhbzzpSYXk/SZ+8bH3e524klf35WsxqVN8V0aqdolQFwcJ2Ocj9CMHd5qT3p82ez9drccGh1BAuyqNzLisKq2PSFYxxNbJLo+zyXWun+3nLnrHr/vgkzze7vLZxOarZpvrdbK56frTJT4vxgYGE8ttLMqoeH5hzI4tSFut+37N078+fnkv7f3Un5NpupFi80ws3GYyWOPz4qN6DbNbu+1t9Np7p/s1kDlITBQGn7VaXxZ4NBSmYPQdfx+dnC+/dKpGePibPYbTqVBP7pSSDdaNSE2VE7ubKUdJzn5XjU3ofdrN/XWVHXOq8L+fyzhwcB5pOJAAQzsea7nTzv87llUe7vNhtJ6p2T1z4GaLrtVuudZr6uVR9F+56fzZo1x77pIvFgVaXrFdUZAbtKVCI67y3v962Ke76LjHvjP6dZR93Ln/8Ovv5o0H+Dr8FgYLurKy0cWGNkr7GZaAI1otzQskxycuSYeJ2d07iEXk8PyXabQpIIbao0x5KHr3lNChIaSQ7IuLib1PcsS/Nx6zjDkMOYxhPpcst/GDodFX2MzGl7sWDKo2/W9vs0Lo1GjoaQQoGivCzVAOKdWyy0QVH4cD0JluPAIrwiItI2HGqDci5JzGLR/cozR5MKo2uWZHAAKG3/KQUXAEcsji0EvVeKEBo6mhFYAhLrYSnMzLZb6x0OtqfQRH4JA05hTIPO+2KdIFkkHZjPh5ydBoTGmc9RlmmsFY068mO+n/XDHPGqSjYIgBGKuijLbhgVrALI3Lkmb97o91JU4iNl3VKQsRFTBHL/AHi49oASbOzdbrICIB3NssRWYZFAogs7h7UAuSb7ZLxXYTRKAFeWmY8NuzPTs0BKtZmYTdQpvZ7k85n8wPbwIF8X94nnhDUKwEKmAyAM12+/lwfwcLBev297mh7WKqxdK0wsRG+42++boKMmqTwE84eDGP7dzjL89oCGsO58Tq4JjU6eJ899q6nysdnJ6lp71X4vSTByfpNUstmfZjPZAJwTwwNrN58LaGH9I91jHnW8j6GuxaRfX0uFENUdvtcTSt/29sfmJETLiosNfvN5ozoCFYdDfss4S5pQ7ARR0RTY980s9PsWzs8lIeQ9h5DUUW27CvcN0DKLoznx+vZ68h5GubI7HgW0HA6SnsZrE+Lz7Lx8+qGuNTbJKUXXteTjvaLQ2ol7cjPCk/2Q5w1wEpAQqxF/D+tyc6O9luYQljMqGBqWEbUBDPRikTy/P/2kvQIgEuk2qhbAObPXYB4gHLYC7vX9fcrkwKfetjC1m9X5XO8bSxeAIQWzczpT8FkD8NLEPjzov//hH/R+/vpX/R4k0DD5hNI9PyeZNWcE5ymgKiBiv5/sWGWZ9tpvvtHn5NzLMv03ewK5AyTGw9TneWpm2fe3W70vgAfOGc7c2DT3zGzftlQAMsGQDwZJMcI5SUMbx3KZmf4NSIsq6niUqgK2ezpNQY2cZ4Bh1BGc7zCLziXbCgRFnjd7VdPgo2aIe4aZJUYeoJr325aukzmDZQHmHoD07EzfB7ANqBIDb7PnZwvrtYUss2y3Mz8aWXE4mB8O1ajtdgouWy51TnjNiHZFoUZqPrf84cHs55+1r3S7Vr97J4n0cCgw8XAQcBmB8NDV1JHw+KjRX2avlDPheLTw9avlIShF/uxMQPXTk4Xh0Mpu105mCgA9ncQ8dzqWPz9rzx6PNaM8qqLy49HCZNIklvvLS+vudnb46afmWXKHg2X9vrnt1upSU4yyyUTe8RDkDa8qq/t9NWW7nVjn2czs/NyK52f5uG9vddZMp9rPb2+bUWT5YKC56+SqPD0149ZcCGqqdzsxwm/fChC4vRXrS50Z9zJ3ionkq5X20xjqZ+u1Ava6cf75+bnqfBOjHeo6rU1UaGUMjf34Ucn6796Z1bUVm43VnY5sqgS0/fqr/v3mTQKO8JoDwPPsxDUePnzQGVGWOs+oA+Lj7h4eGrWOp248HnXexL4ljMfqKaJSNlxcKLMny7TG41g3Fy0qjHj1s5nk/DEzyVWVrqVz6n3aZF08q8xMFoLjUYBOnYLgBoOBbTebf+M/p1kn4K55zn8nX3806L/B13K5tNV/+S/aUGEDkMbGwj50Ovq76B/3IXrFYyEbnBOyhQ85FgE+JifadptkJPgNWfwULDQ6FDU0J2bJLwfa2uk0Hs6mQWkj/xQIFDcg8zT8NKLI52CnKC6GQ210da1DCs8gTZdZOuRhuwlmu75O7BayxY8f0wiJyEbabKbXwftyPKp5rCoxv9NpYnCQ9iHT5xrBXgBKUJThK2djmc2SFG+9Tp4/GtiiUNHJ9Yf1QpUAu4odoNeTVJlrQ1GF77osX7MYNEdFofcDuMH9IHRoMklsEu+dgob1AIvUGsfUFOesUdizqO5oGlEKJWR/hNw5J7aA9xZ9VY2PEo/r2ZnUEGZJdjifp0azrW5A1grCyrpkbbDuAYBIid/ttFbyXKwrCpHIijbyZO7T4dCMtmn8wqZGjmAY6/cFaFGY8ztvb9MhEZtKit2w2aixp/kGpMmyxHCCctOkcc2rSuxAnjfzsmmCFpOJ3cUmxp1OKR1+vdZ/UxxMp00Im5lJNTAY6Hs/f1ZTCZtFYT8aqYlnX4mNTDidFGDWVgN5rwT56BN3eLi/fm28s363EyAAOx49w64s0+zU6NNrgK6WpDuLjWyI99CZJPQORQb3kc8YbT2NkiXPxeDUtd5/lIki77NaY43CZpMAAvaHyL4x5qcpiHg+zATiRFtQcy9g2eJzDhPvaHx6vTSrvCiSqqbbleUprjt3PGp8UQRS8Ez6mJbtKAjLUucHKgdUOCarhaNBZO3Ec8LRcNO0AmS2mzOa9zbTi3cYj/94nJhdnrXtNgF4hFwCghHCRggVeRm//CKmzSwBGNEO0JxvcV00fmT2iLJMLDTMzdevDVBmFxfJXkVR2z4jASC/fk1WoLZXne+BEWd/i9ktdn+v1yeo8+tX/S7Ayf1eewXe7CzTNaPY3u1SKCXqGRpGmHmuS2yOmgko9/dJ3fT4mH4PYDDKBppnziC+ALsZH4nUmzOoLG0xn9sKkKadvs9rOZfsaqNRyifh87B3on5qN7Xs92WpBoD9/ewsWfmoK5g0gsUOFV6eJ5UdCjvORc7q2NA1zxw+dSxoAPJY5gA4djutyxCSZQOgEHDqdNJ7WSxUe9zeJqBpvbay0zH/8iIvc7Qu+hjk5fZ7C998I7AxBrFZryeb0eWlPufXr+a+fJF6ajIR6346WcUZsN2a3d8rQJLgLp7lxUJzsYdDc09PAve+fGlS0/1i0YTG5s5ZFRnTwnuraVIPByv6faufnqTk6fUsy5S1FOraCuesimvTTSY6Z66vbf74aOuWyiv0epKrx3rMxTVWR2Vinufmy1LKoLs7NXrff9/YMMLLi+rkCF5iMcz3e3OHg1Uxi8ktlzonVqvmLM93O7H3nY65szOro30yu7uzEEGJjDFi9/eqsXs9zRU/P9cZdXsrVRPM7WCgJvN0ElgxGokdHo3Mzs8VkPbwoMyQ7day62sF841GOisAUwYDzbBfr83u7iy8eZPW39NTIv6qSgx7BJ3dbmfhzRs11hHU9RGIcPQeB4VRh74mefhYb2WbTRMOHQYD3QvsQb2ezuc4Ps2qyrLVSrY+yJFCo0FDUWgUX6w3MjMB3ZHVD5FYyvZ7AUSHg845p8kzr+qs2IgvZzO7JXAznuuw5o0iIITXI9d+B19/NOi/wddyubS7v/xFEkcOAorD0yktKOSWsThvZJc0fkVhfji0rD3HPLK6ITKmDolXlFgFEha9VwPhnIqyNlOA/CUyc2E8lqfyeEyMJYw2chnG2yBBjSBBE1AH0w6LCWuMPBfvZa+n2b69nqStNNA0pMhLaXqQHyILJFxnMtHh/PQkidp+n5p1gjRozigIYVJo5NtJ9r2eDleaK6Te0Z/VsD4REWyKJpJmaWBhQ2BkdruE6MPg0sQjfY4sxWI+txUyUQpBgo2QrtNkw6hTeFRVYvxh05H2DYeJGUJ6SJFbVYmdgKXioIPNpWhECcFa6HZfS1qn01T0coCg2mCcEEyP9/o+PFj9vq7T2Zle/+kpASNtAIfPAwhCwRpZSO9cYhyR4lLYLxapsIM9Q0IZgQ4/nysYpddL3nLG1Dw/Cx3OMo10obBrK0LKUoVVZGcy1jSAUQTVQr+f0mZj0+hoEGJDgW8dmRifI0Tm38U1vpjPBexEmV4zjzvuBxY/B77aUFUpNA7bTBxD02QB8Lvb46Li89005budPmdkB5twuC9f9Fyj1uj1xCKTIzGb6X1lmQrQOGvVYmMZJhPtR1EJ5Giy48/4omjCxzIAxAg4Nux1ROmbBhmWs9+X9G4waIAFj0cbXx5j2QCF4vtm5BvPXvDeXLQw+PieHeBmfA+B/azb1fU9nZrRm03w58tLYwXwnY4CpMwaBizUdcOKZ2YqAuta1ygyFoHPFzTK7VXz2mJSvffyRHqNCzqfTGx1fy+mYjQSANQGaHl2WH8AmwCa5GNUVWIgh8OkokHOyt6Pv3ky0T59OKRRm0jK81xNLM3IamX25z/rtVFpAT54n5pD9hHOuLaFit+R52k+93KZcksIz2RvxorC+3x4SJ8Pm8/9fQIpp9PX0ymQTBOguVyqkdvt1KzTkOZ5YtXbDSB7HXvUavX6bOL+MsqM/QfQ4OJCP3N7mzJKPn5MzzH/XFyk3BD2qPZ95hxnfnpcy4tOx1Z8dhRqrDXez9NTsnP1ekkFByiCmgIwnucc2xb3r9tNk0ioNcg4IMyOgNM3b1JTfnurv3v3LqnWvnxJ32+WwIH5PGWu0Jxvt0nuTjo6toizM33ejx/T2l4stGZPJ71fVBEA7nEWtG23Vt7dSW590gjJsNmYW60kz768lMIqWmJKMwvDoVXv3yt34i9/acZCBqwIUcrvoqS9s9lYPRhINuycuZcXy8vSKkDI0cjy+3vtB3Fd+17PsosLNVOPj/KZdzpqoo5H8xFkdN2uGsmy1Oxz6tZ4TmR1bfVkoiYzAoHu40ezzcbmZ2d2H1UEIdaKRdw/QwiqWUcjneOQGM/PFlYrBY99+63Y8U7HwvW1rsfZmWrY9dr8y4vsAmbmplOlrc/nlq3XVplZnudWh6Dm+OXFqtnMsg8fBCDEXAcX1ZJkpBTPz1a9fSuf9nZr7k9/klSdujDLBE4QvmbWAL5kg/izM3NXVwLDIyBiu52Fb79VA895cnYmQGU2E0CJrZB9DXDweNS+PxppLUSlpf/mm8buZNOpzp/DQf1GlinwmTpiONT6qSpJ/KvKssNBaoPWOWfzeWPjCTE7wA4Hhb2t103tFCJTbpzhVSVQKdbDrqoUBltVlrWYbz8aCXyGXIJ8MNPP1bWdv32rBt0ia05Dzr85C0JINsDfwdcfDfpv8NXv921/c5NShatKG0+QZ9wRJob/C2QzLi5GaYTDQQv+eJSH83QSWhg3WBcbJF8UktiyYXS7auD7fUmRkMRnWWroaWq8T9Kz83OhZPzO+KDgWWyQaw5eDgfkj2YpZdksBe2w1pA8IkWfTMzevJGHCP8h8m0aWnxsSHhgSgmqKksdaHjdCSOKEiFbLlORw3uhkIAVN9PP40N0Tt9PeA7FKsg7RQuqAprGtv+MMXMwOxQ9zBXHk4zU73SyblnagXXB5+Vz4bNDwg+Dh0fY+9RYFIUONljQtke7PQ4OBQYqAQqnuk7yvShdalKw8VoiJcVzFNnfRsKIV5OQIUCd0UhFFJJ3GmWknd2uDoSLixROhf8vItQhjqZq1l6LSQ9mKR19NDL2OQfgAusTr3FYLhv5NqFaISob3PHYMJIOST0gCRJ+QLegcDTLMjVieKppuJG/A1iwTii04z+NEqaVPB1KpbFnZD3QEMUDtFuWduDzTKcqMPj7eEhmh0NSwxRFE/TTBAPFhNwmoK3tbXZOByGfaThUKm38HNmnT2peKB7KUrNyz8/1migJQO93O+2NsQkI/b45F4PpTqeUpwFAV5aSg4ag63I6NcWuw5JT18nHTZEAexPl185MRQZsQ2z2HIV4HA0WxmNzBINFn2szIrMlu/VlKT8kzwf+XqwQkVVqwKIItoSiEFvN/j8YqJA5HvVMwJBGG4qLjVKIzzLZIy4CGs3oTtYnQGq3q/m83a6eiednXYO4HsNwaL1ez3Z1rTMCppl9oX0+tRU7sOcUjexn+Lzv7vQeCNZiH/ryJYXNxVnAr+TCqHpokA8HFaeXl2qIVisVrQCXsCmAwG3Gn/fOc4tKCOk6svXNRq///n3KgmFvRMHCeXl5qdf99Ve9BmPQkLljVeDe8XwDRGCbIuj061f9HnJV2O/a9i/A2rZcv23R4Nxt+/WjeoepFFZVCvekcG2H8mEjWi6TNQ6LHZkyXN+6boDe7nZrB87Nls3DHh6Szx/7ENMyWA+ojlC9cM9RfQHWYAvgZ/t9rS2YfwBp9tL29y2Xeq8PDwkQWSzS5/zyJYHjbY/9xcVriTvnFvXDeKzX3GzS+zXT/ofyZbHQKD4zXXeA6qg8dFhF8ly/76ef1BBdXsrbG5VNeadjtffmLy/NzefmvnxRY1dVYpUHAwF2EXiz7dayw8Gy7dbqblfM+26nfXU8ViOI5/d4tPD0ZC6OWHP9vvnzc8uPR/ORlS/yXEz287NY5ocHhZje3Znv9ayIqoWqLJtJEVmeWz2bWQ6T/PJi4csX83Vt+eEg2b5zVsdzL3S7mrV+PKqRiyCXj+dktl6bvbyY//ZbgdL39xaKwoqrKwvOWb1YmDOTHH27tVBVVna7Vs1mlo9GVnlvLqbas6ZDPNd9DL+zXk8p7Xd3GhsXFVLu4UF1wWKhWeajkeqFpyddJxpEsp0iWGrdbjO3296/F8iMpS7LZOFhyki0m4SoVgkfPuh5uL42Wy7NxXqnARAjiJb1erLXtYDIcHnZkHJ+NBIwg1LhcBAzjk2CwLbdztxmY/54FMgwGIh5j7W4n0zEmsc93FGjhdCoJV2/b569NxIbmQmkCBFkdPE9usNBIHodJ9p0FRoXqEN4LjiHYg/S7/dt9/KSRtVGSXtzFkZ7ZoAw+p18/dGg/wZf/3/2/mRJkiTbEsQOi4jOs6qpufkQU+YbqKupqakJRPgFrLHAL/QXYIcN/gErfAb2WPQHFBWhq6qrK9+QGRE+2aSmpvMkwozFuYdZzCMiqwoN6qh4FEoUlOnuZqqiIsyX7z3n3HMbjQaqf/gHFtHdLgvrokh9h+o5l9xW0owQktw2M6OhdptFgnrP85wBVcyf+qeUkIWQEk5Dr0OzycVsfT2+KLgxxRJI4qn3tMIFec2dWBIesaCS6AHpcJaEWT8rCbyc3uvIlpIwmf5MJvwet7d8X6HzKmbUK6fETP2fug5JLJX4qf/5dEou4mKiD4ck16+DFUrcJI+VNFusTVUxqVAyBSQAQb8nxH8wSAWqmHv1zgL8d90HS67zPEelRFv3uNNhgqcePrFhnU763uoTVAGl5yg0UUlwvUfZuWTQpIRBrJiSE8UIzTFX4FZxrANVs3PX65Rc1pnzw4H3TVJrFSuvXydZ+HLJ91OhLuRWvVFaK87x763HLrL3NfliHGMos0SxSKbE8NfXNKSxfqyIfF8uLKjq6wEmoW40KP+y4tcby+6Lgu9VFPDPzzSHk9Rez1zM+uMjEXRbL8GejcsyGpjpGWQZws1N8pooS/6b2h1U0A8G8KMRGpcLLtstP9uY2ejcLeVMh7PFo3T+cEjgi3pNAR5+Zcmibr8ni29gYBDjLSWLGDUBYRpJNBiQuQBi/BB4EeWr3S4PW1tHTkCNMXvBPjuzZDzYGEpvCHsmdYy1fwS16UyndGxXUXE40G0XLMidQLb7+7i3Q6/HUXxXV2w12m4RzHjL6fvNZvz+ec6xbHVVkyXqodtN/d2XS5Sth3ab7Q1KpgA+f50FAu5aLbILUng4x1F7lvQ5Y0lwuSTgtg7+WUuKl+zPVDqZfWYwlRZMCeCqCnm7TbYJiAW9k8JKhZPAPRVDUpxoLQ8G6bwRsFJV3MfyMZHyyLnUtiRQT0We4tT5nFQ2Ytj7fcYLgbEfPqQeTK0rxa92O+1fMTG6R9qXz88JUJISaTIh2zqZJKBXIKpAXQOy0esx0d5ueW0ag2ZuzSiKxL6rP1pj5qSyurnhdavoLoo07kznBJDuj9j/enGr9STWzOJCvB/9PuPlV1+9BHelYLq/58+qVUpycbVkSOWleG+/m08mqAy8isy3rr/V4jWKLVd7hMAPselSQp1OvAdfetfUGXx5dEidcTjw/WRAZ+qaaNqoa5EL/+lEYGW/559fveLa+Pw5vYcKc+95D3Xuah+IpNCeVxwRGdDtck3WJ8u8e8d/08hOxfHJhLHx++/h2m3kX3+NarHgWWN5U6gqhG+/ZaH6H/4DQb08h+v1OI7Nzr2sLJOhFxDXv9tu6b0xHCJfr8lSGxmT3d3BBU6vKGczhNEI2WbDsWjGehdGTpRVxeLN0X0e4zEZ7k4HlcWkxvGIi1oQGw3ek/t7FnSW94RWCznozeKdg+t0aDZ4PlNqbSCq73aB3Q7NuztUgwGqP/6RDK/ll+7pib5MMigrSyqSpGQwzwv39IRKLVtZhsZ+j6osyfbf3PA9QoD7/BnBFKgYDlnkPj0hvHlD0GO1QvX2LQvM5ZKx8njkWTAcwqslNc850i4E+E4H/u1b5IsF73m3S3b+6Ql4/Zr5voG+YTTiPn3zBu79e56Vr17xvDNVhDNFnisKFrZSu2ZZUn+Yn0JQbhtCItYUvxsN9psDPFvtfPbdLs9r5Vk6d06nl7lfv0+lgfccU2fgukjDCOYL3DZlWMiyCB64qkqtugKs/V93ZG8AuJQ2rcTOKxnzuvM5Gmf/1l6/F+i/wms+n2Px7/5dMg8REmzJRPCeC2y3Y3JuDDgMkVPSEvsfBwNu/IKui+o9D80mCxGNM+l2o7QmmKQkHuKjEVka6zF0JhP0VcWEUwdPt5sOcu9ZqJtcBZcL2W6ArJwF0siE6mCty2PENkoGrmRDLEw9WQB4KKqf69OnJBdUAiqpooAJodONRnKb9j7NMQXS9ynLNGpMCaQ2taRrkjuqyBSDoWRUCaWCm2T8kgWLZTIn0Xh9OrgFPIjl1HiiosDMOSxU3IkNVMKvpGE0SnJCIEmSZaokEES9euoh0rPVrHEBLQIUzCgsPrOqSgWuigHrowKQvAQk1dczFgCiwkOB89Wr9DvHY0pEvWfienOT7hHAz7VZny96V/XsdZ+kDpBETIm32JReD0G9mZI/W7EQbD86k6W75+cohQxZFg9ilCULwHabjLOSVSXxku3qMyUfrUulQbOYmLzKIE6F69VVkt6b26sLgVJDb0aO43HsTw0WH9zlgtlkgofdjmh8vQ9XBUGex30b2SkBXyaZDdYb7U4nMsti0MsSwbwFYg+9+nP1TIwtdlIBWI+iCtLoGBsCE7Esi34bUvFopm2UrIoV6PdZqCue1MdhNZsEMlT4ybTqwvnB6PcJSGw27McUYDeZcD3O54yjd3fx33yew3U6LNjtWt16naYCWOEVOh2+d7MZ+/ZiMaoESQW5ufIHtS4IeJXCqb5+BwOCRhZzo4Hn4QBvjKbT2jDJc7BkHgDZnGaT99772KuPykbkdToEBpwDej1cjcd43G55TdbmlOl7qg1K+1RnhECeugpAKhr92fsEAIlxVCEjpvdyISBbb50S2y1Z9P19YrIFlsr9XXtQbVJ6CZypgwiK0yr4rK83OtDreYlZ/uorfo72uNgqmT6K4Z1OGbPu75PMWaorO9PRaLAXXeodSboF8IxG6WyTcm0ySTFYxbbAAPV0CxCvF74qpp1LUvDTKZ1H336bvGUuF16L5PuKtQI7lQtITSBAqdHArNvF4vn55WxzgbtlyfvS66VxaToX1J+tONxs8p4pFi6XCYhWf71ivM7SemuZciSpGPRcNb5OBUynwzOm3Qb+8R+TYeu7d/y35ZLP0DneX7U7yIhWvgAq5rVeZDanNTSZ8Hd2O/6d9sibN4w5Url8/z0az8+oXr8Gmk3k2y37xwUgDgYc8/XwgOz77ykJttbG0GgQdPOeDu1liWK3Y/FmxY6/0Dk7s0LHNxpo7HYon58ZzwS43txQ+rxes1AsCvg8R2O/R2lAqO90UCwW8HnOoszusfOezOt+z4J3PudZWpbA+/f8PIs7wYD5aaeD1enEYu5y4bljMvwsBMb721vGunfv4K6vEW5veV8Eis5mlN4vl/GcUWzz0ymyZhPu9pZj6DodOqKfz2icz6hubvg9x2OExQL54yPjsrVdBlO+hq++QvbpE69tPud9PhyQFTTtrCwXwHDI4r7RiIUm3r3j9/34kWBAswl8/z3Psetr3uP9nqDHYMBe9nYb7scfEV6/Jmuu+KvcSzFIjHOzCecc/Nu39B45HFBNJiQLBIAcDmTDTZUXTNnlrAfdA8jLkqPX9nv6FlR0rM9OJ66lVot5UVnyjF8s0hQDa1NwhbXihkAjOFB5F/vIpYgzeX/o9cikK9927qe95V8U61fX13i8v3/Rax5Vya1WbAN8wcD/Bl6/F+i/wms+n+Pxn/+Zf/CeiNN2G3tCXbfLINZqcdOK+bSeI1fRqMh1OiwiNNInBPaMKBCIvRUrqkPFioTQaMRRFU4JQ6tF0whL9HxZEsUsOeogMqcdzh+O86NbLSKKITDRl5SyqijBAYiWqh9mNEqGQjKgEaotR3glArXNG5OYq6skpdbsdbHwrRYLUjFuYmt1oBYFkXFJ9STja7f5/e7u+OfXrxMDXHceVjKn4lTsuNgqJQpK+OQWLSWDpMSS4sqUR4zD3V2Sd9bk/7PJhMY7Yucl59cz9p7XqR64djv1QYpJtsMoXp8k1pJIqd93OOR7KFFUYtzrpQAnAEVJaV1aOR4nyb2YEt0D3ceqSn39Sopns+QJoJFzZrYS5e8hMHGX+ZSkoMaCh243uXmr31x7QaOfhkMWucaoBfX1GsKN04mFVS2pDZ1OROTjHmq3k4+E7rUOT5N7xwPQ1rsTG2YzzR3APSigRKCVWCExjnr2KqCbzchGBCsgg633rNYnO2u3sTifadhirJQ7n1nYSbaq/SVQRi9da7tNJsOeZ2yFMcYV/X6aQGAsRdBzNUAuysytYHQtG90GJMDhconX4+1eRcO1RoPJtMAla30IRcFYmOfA69eUK55OBDhtnfl2G5hMWOzu9wQwpMQYj+mgr9i5WLAot30Vul04G5kXLCGKcvbjkey5MVfBuSiHdbsd46IlBWpzcMsl15KtlTAYkBXvduOomlioiNUwA81MbTUPD3EfByu4nHqrjckOzkXQJpNiRvffZIDo94HtloBFrxddfTEeA95j3u3icbnkiLXtlskbkNoxxAyrJUeMp/fJlFL7QvshhDR6U4CVADd9d4G56qmWwSSQ1EWK2VdXqT1FzG4I6YwQ+PvwkPrPBZipx1lAmQAGga7aZ80me4z1PcU6ffdd6sFcrdLv61pUSKqg/vFHvm9dxQEkKfq7d8nd20CSF+Bvr/fSBE33SCycgGWBAVJpSTGm/SzQUICmkmGdwboOyfAlwb67S0BIXQ0llZa5xM+KAgvtZZ09+nkgec70+y/VYtrXKvwFFnU6KWfIsrRepPRRDNJ6EQBUB3x0xkkRpDPz8TEVFaMR71unw/7xxYI/9+5dZGTx+XMiBASkS4E1n79U5+l8lnxZrH5dtSaDQLUI3N8jazZpBLfZICtL5BbfqssF4auvgNEIxZ/+hOr5mYWcnanOjE+9CqDjEY39Hpdmk/O5t1vmfMMhVUijEbLLhQXY/T2C98hDQOh04G9ueFaUJap+H3mWUUG037PvvKRZW2O5RNXpkOlvNlEaYORsj1Rff03jT+8R1mvk6zWq45HFfcYZ6KVzyKoK46srPJclqqpi8dpuIzscUNl8bvfpE3yWIfzd35EtN4Wj+/CBRet8ns4my0eKqkI5mcQpEOH5GeHmJp4F2O2QNZvsI+90qChdLIDVCnmjger6mkX+p0/w8ke6vUU2GhFUX68JHpxOcCGg6nY5k972lGu1YmEa/vAHjmdTS8TlgvzDhzTCTKqc4ZBtXe/ecdzc6YSg1pdGI+1jy9+ccwlsFTA8mfBeNBpkwEMygsNyyfw/z3lu2khOt93yDJAqr9VifbHfE6CQxN0A+2y14lmmVsteL5pfe1MWStLvGg2y/6bOCs1mBJ9hQIATIK86R7ki8NMC2/aWA3A1n+Px4YH/bmrgoJjj/U/c3X8rr98L9F/hNRwOsf3hhyiLCup11CFvyGtoNMjC5HlChrZbbkZL+CQBQauVgqIldt56cZ2kjs0mk3IlBSa1C5ISKuDpQO31yGaFQBmoUExzwIw9WipOrRD1JiON76Xed+9Tn7Jmi0p6pmJLB7AYWxUtYp2M2Y/GNY1G7OOJTuFAOhRVBIqBUdIlqdNyyXsumb6K2zynTHK14s9+911C8CVzk3RfIEO90JQ5EpCuXbJDay2IEk3J88djfrak9mZKot7UfruNrST5UhZIeiVkXQDM42PqQ9c81+fnlJgBvJZ6oiJFhfplha5eX6dRMnIslsRJ91OFuoCZGjOMN28S0PLhQ5JF1WS3sW1B7yfXYSViQHKDl4x0Ok29fd5z/T09RelhOB6JYrfbCN98w9YOS2bUV+eUvJdl3FsyIgntNhMkAS7WE+ckAdeakcRV0kZji0K3yyJtv09sj37mdGJbitj22nOKxmUqJMV8t2ncgkYjMbICPHRNYsiU+HY66HuPrV1vMEmcgJ9gLrVxr6hgCSGaR4o5j4WXjS0M/T6cFYCh2yVSDkPHt9sEAFgciIZ0bToOZ0AyN/Se12IS/tjP2e/DA5QwyixLRVCvR1m+1rIlPMHuZ1B/7elERl4st8CEToefIYZT8nrrufUCGw2wiUBMu536c1XsdTpsURBr7RzXltQstn58q8U9DrAgtoJS8dyVJYGCZpNFdLfLz72/53NQi4PJ0GNhZ3tJLBcu9D0QUBR776ztJxhDj+2Wz8PAIPXuZdstwm6HQbuNzXrN9ShASLHWvhPG4zSNQaytCmEDbzEYJAdtKTNU1MjPQ8qp9+8TaKsJHLrPljhHXw+BSQIV6jFMSfp0moAjtUqInVYxL4NPASwCXQWOh5AcvSW3lqzTWDG8eZNAUu1pnWtSXUkRpdnZMufUS0oruXsLUFU/tVReagXSXlZ8MaAfVZXM7q6veV0CMtUKUz8jpRxQsSz29+3bZMwpNVSexznVEfSus9NZhn5ZYqsCW++nWDmZpPFluod5nsZ5SopeS97jf2p1kLpB6rf6fRAQrvupz1RLnYxQ5eKvQuT+Pj0jSaS7XZ5Nnz/zWt684X9lmcwN620STPB4dkndpvNJPyPQV4COxsFttzzrOh32aD89UfZdFKgAFI0Gqm+/5Wf++c9REoxmk34XzsUY4asKzeMRl8OBcSijv1Do9/lzzqHq9ZCt15S6r1YECe1e+fEYeH5GnucoJxMUgQZt/nyGdw4N5yijv7tDNh6jajZ5tuQ5z4wTR8K5776LYKF7eAA2G7L9xyNCt0uG1lojXL+PjvfY5TmyVosy+bJENRxyrvlyCdzcoHr7FtntLZVEux0a9/fwV1dRoh+nmJQlC0Ix94+PzKmHQ7LHlwv84QBn/d5qxck/f0YVAqdxtFrAakWQ4Ouv4ZZLZMcjqvkcmWdffWi12IcdAovibje1AqkonExQXV0he/8+tiOFuzvkiwX811/H1ijfaiVn/dGI8nobwees5U6qOrdaxZZUsecIgetW68lyAFwuvL7LhQ7qvR5jvanQnBGFIad7etXtxjZAd7kQcLe47RoNntU611RzKD42m3Deo+p2kTmXxqfVFZhAmpBjfgnRFNvyr/q+ct6nAlvnpGoiAMPBAGtT42jkYIzl9ff6jb1+L9B/rZcW9+FACZCK7ixLsi9jkUOrxU2h5N4OWacDoS5HFVpVccSE3N9Dp5MkrtoASu5UpDUa7Jmt93RbIuUbDRo72HVmKoCUJGZZSpZUiI7H8FdX0b049r9b71+oKjLwZcnDU99d7J9keHJPVe+LJONida0fFK9eMalQz54KqHrPm+R8RZHmS08mqUhU4lUUab76cplmM8/nyUjm/j4BD+buHe+bmCwdzAoS6m+UTE/yRd1zrYvr61R4y6FWgIikmWJbdQ15nuT/Wg+SK+peTqfJtEoMTh340DMQE6Pr0tqTc7IUAGIbBEiIPZavgBJB3SMpBu7uXoI0YqpkCFfrDcPNDf/NnLljUSqjoevrZJCkItM5HkIA17SxKcHY5kwMh9a/Xt6zKBbibXLd6A0BpERV12LPLGQ2Q1zMZ5YRue50+PcqDpzjwSl2z6TG7vk5MYBqdWg0oheFryoCZNpnOjytfzWYwZI7HJJ7fLAe9ToAI4diScwkBxNTL4mpmHolxCr6tSdDYF9gWUa/ilBVVAJYwRCkurCE2dUKrHA8kiUxgFFO5ADoNrxa8TnV2mAkf4trUkXGeMyeQUuMwm5HAyEd0OZjEdptemnUxz8Zo1Tv5Q7eJ/db9eA2GgjeMx7nOb+nina9z34fWXRnDGjodpH1erwX1sPn1I7kHBNZtRrMZkxitUctafE2jidOLxCwayOM3OkUkyscDgSgBMBa8hbabbj7+9hyIBNLjeXEasUEzooq32oxQT2dyEjYunDq3b66Six0o5FAN0mAVSALpBXjLl8QxS61WiimK8bLGFR7wYAhOMe9rt7tZjMxyQIoZZx0Pie2djRK76EYJ2Ctzt4KNKy3JNh+iz3scvE2x+I4m/zqimCuVFryA1ESKyBXYIQmUojBBVL7j4A9jZlcLlOBKka21Urj6PTdxSLr36U+uL7mn29v0/5WTKr3e5/PL2IT8pxFqa3N+LyLgtd0e5uAL2tjideo1gJdn4BkIL3/cJie0+XCPwsM0jmudaTzFUhqLim5BLZnGa9f76EiQmtAoIi+q+5FlvHnNQlGucFsxt95euKa3G7552++4XvXDTBVRAjUnUySwkLmiCpUNMVAQIfW+GbDv+t2OXPcObjZjEZo//RPyBYLFMcjZ3879mqHsmQhA6CqOCs78z6avjmxyFrfplppfPqE0ntkeY7gPfybN1Q0HY9w1ksOY83V1hWaTbLAyhnGY56zdt5nZYnw3XeUQh+P/L3Pn3muytdDeWRVsTe73WZ8MR+UcDohzzIy82Yi5/74R0r3n54Y356egO2W893LEuFwiMalTqaZ19cI5zPyhwfO3u50OEe+LKkImE45FaPbhV+tgOWS1zOfM4e+v0fW69Fl3Qw6w3wOrFZxhGems0g+SSomlc98+y3P2sUitv9kHz4QzL654Si8qkqmndfXlKXvdmy/03oKHLmH/Z73qg50Gjji53O48xnZ8Yjy6orkgogUGxUYrP0AvR5jvMX0EEJktp0AfYDz6y1XiOSEqTLddotQFJTB5+yJzwC2KNjZHCz/y85nKi+M7Zf5W5S5NxrJcV3klgp6AW5l6jMHar3mlntpHB/wM4y7cje912/g9XuB/iu85vM5HlXwmWwdec4xTVXF5MsO2TjOwIqfkOdM7pSAqQgCi2enRNFYcKcE/XQCbAM56z+JB6YKPB36RRHnMzvJtIz9C2JKJKsqy5gUqjARg4XdjqhpUcAbC+usvz1cLonZ9z4lo5IEq4CqqnSoaDbr4ZAOYRUzYkfUhyf2QfdPPyOmV6j9cMjDUIepjGBUSJxOfK/ra/78n/+cGPnra17v6ZRAAiuqXoAIYr3rUnMVdut1er4CKZTInc/ps72nbPAvf0lma0qGarLWiOjr8BdAoMCqAk1O6jIVUsGtZFgMuFgrMUEqiNRjXBS8nuGQieRulxZ6q5WegZKhsuS9uLl56aK73yezKH2++jtrjCn6/ZRM6zrUMnB1lUCLEFjMZRnRXiXpOjgFUqnwlewf4CEv5kYgmKTmYgZriWEIITHhzSb7g7XO1PZwdZWkmOqdlVpGib+SbwMMvLEesEIpbLdRshaL5PGY91wqA6kQtO52O8zGYzweDrGv0Nn3CUAsopwSabVv2Pv72Yxuv0o2Gg0yG3K7PZ8pRbeeNxQFW13KMspJI/BwPqfvaHJSn2VMUGQup35jFZfdLkE8rXVj7LxYW2MNnMl+nVoAtI7MWA3HYzJiazSoorBk0AEEFzJzShfjo97WRoMScJO0Z84Bu13qKRTQY8qf0OvB9XpMbg1IlcO9PESiJF4JUlVx9rAUDerjFkBmcSNIam8FQCbViqSEmU3UcI6GeXtz3xdwO5vFRDnYs1e/f2i306x3u5ezRgOL7ZZruh5vpEwKIZkQqViW9FqFrcZddTpRAo3ZjL97d/dyMoR+53BI7uX396kYF5OsYlAmmyp8NapKwOxg8HJkolo4BLJKZaB8xznGJLXEyEfFFGVoNFLBmGVp5KQAVJkLXl+zT30wSGCEYv7lkpQuaq/SKEvtPWuveFGUvnqVAGMV4yrIBRgKeNB9NN8AdDr8jO02GbA9PzO2SyVQV4gILM7z9L2LgnFMTuo6z5pNvq9azXo99qCLPVc8V2EqsLq+b6TMybLk4SJwQ99POYbyAsU5xSy9z36f5swLWJSvinrdWy2eQSoOFKvVOqC1VZZpRJ5NlcFmA3z/Pe9fr8cCTCSCfGQM/IqAsZl8odFILWxqLdI9V1vD6YTc4prPMuCrr8jS/tM/kfE1NYuz7+yqClWvh3y7ZTG62TDPazbZq62JPocDqn6f8eh4hHv/Hr7f5883m3SWX69RXC44z+fME6uKsaLL2d1VnrMvO+eUh6zRQNnvI1uvGVcaDfi//VueGZcL/HZL5nu7hTe1X1HSLT54z1ipuDgaYdrr4fnxMfUhm4Q6fPMNsudnGioDcLe3vIbZDPl+TzM6k04XVpyGfh/58zOq/Z4947sdghWv6HZ5hth5FD5/JohugKqrKoLJZv7p1muugUYDfrdDJq+X45FtY5MJiTBnru1liazbRfXNN8jevyeoYQrY8PEj47B5MDi15HU68JNJUttcX/Pe1wDiqIpRHqnxg8rn1DbU6/HcM+WDOxwoIS9LFuUWN9x2GyewRK8rI97kZyBG2h0OlLrXY6BUpBbHvHMpzxDJUZaxncEBMdeQUSxCiAqyyJL/jCzdXS7JAE7/a+tsPhrhQX4O+t0viJfseGSrW5bht/L6vUD/FV7z+RwPnz5xgUm2WFUsbG1DuJobc5z/qMNdpmh5nuTt6u0QEqYDSweYyZrgfZSm+BBo+KODVMlXPSBknKHrdPCLvbPNG6/DmQu8iiUllEJwn54YeKZT9jY5x6JIh5TYbiUqMixTAqoiXtJXILEr/T7/LDmlClyhmpZQR4ZAsr/NhodlWfLn9HvqU1YP82LB/9ptHsb9Pv/88WPqgbu+5t/f36eEus7qZFkqKut9dULzlDiInVAgkYFOp4PZV19hIeb/+TkFa60HJUFCDOsFkeSGkqFKrqz545I9CqypyxmVHB2PqRAEktxVc+WVcEnSLtmhAAQlyt6nRF2GXK0WXY83m7T+rCc4zk2vS+OlehCjqMJgs+H4LiWcSni1xyypc0JSVYzpe3uf9oP67wEeIlnGw/dsI18kj9SoE7mpKkEWI9ZsMknXnpahmXr085xmMMZEy1wmJv16nmIABSDVPSaKIhUgxrI7632f9ft4NIAkyuSOxzRnXQeWudRiOHyZPBvIAe95SBqKHZUMJg0Mpj7IdN0CHdTbqXhRluyZ3275nOqMU1GwOLR4FBoNGqOJpZlMYpx44dQumX6zycNeyZOS+HabqH6rFXvLIwBjztq+0YBGz4ROJyqRnD5HSVGtCArdLteEWECtFbVGeE8JqhXWTmxfq8XeQpuKEYGePOd4I90P8yURMBuVUwWnfoQQWNBbjNG5nRljHqQeOp/5zPd7Jn2tVvIhCWk8XRBIPBzCN5uYT6dY7PccLehqfe5SWdQVH5IG19U7MgkbDNKYy2YzydRns8TqagJEq5XY0dMprcunpxSvxRwJ0KoqAn0Cc1Ts6z4qBhpYE401p9PUfqP4KGCyqtIkkmYzFbAqHHUm1SXmUj7c3fG79nosfF69Siy7eqLltSIgIIQE2OozpTLQNZ5OBBe0D2Rap95TAY/6fooNzWYCb3WmmvIktpzVJfM6v9TuJHZZbQUCZXSfBMpfLsCnT5idzzyrpNLSd5b6SwCifkbPRmfKZJIUP+pV1zNXbNcaknpLQKKAF5m2SQmh1gCBSVIDWE93PAPrSgeBHnLxl/P+zQ2/zz/9U5pBf3PDn/E+TSgAUo+/QAf9nEbC6cxRIb9c0kG914P/5hu4u7s4izycz2wV0poHopdFvt8jGHAYGcbhELkRBZdOB/nxyOL2fGZx/vSE8PYte8w3G3jzfsiU810uqJpN5N6jrCoUNmu+mkzo1ZLnyJZLXLwHXr1C9u4dQe8Q4O7v4Q4H5M/P8M5MVG0tOwBlu81rtpniWQiYdDpYeB+l5Li54VgzGfQdDsgfH+EnE8ZEO4MjkVSWNFJrNhFubxnXX70iyCvTsPGYiiZrUSo+f0ZZlnCvX5MpNtVWsGLZVRXCfI5styOwYPuuKEuUV1c8nyzHyb2H9569450OxwOPxwSIn54IMrx5k8w9tWdeveKZvd3yc6WC0T48HHg/jkdK+ycTvoeBnQIR/GiETERDWZKYENBd0sgtSPWm9z+fyXwL3PY+ji/0RZHmo2tfWRzyoxGyBvvb8/OZbVJWd0h+LmVKrHXO53QuVRXPO9UeNZb8ZyXuWtNA8nU5HBCcw/yrr/BQNwOts+TnM9dJo/G7Sdyv+fqtFOiz2QzLf//vk2uikh4xE84xaQfiSBsnVkDFrIJ/rf/EFwVlJgDl7CaJfjGnGYgSWbGEwWRyUcarhM/eP2QZAwmQmDAxSlaoa5ZuACiJsoCokQqxz/3picV6lgGvXjHhPtMZOJxO/J7q6X56ojnVbIYsz5nwSJZ4PicmWAVBljGB0OGa5y/7Y9T7JVR7s2HwbLdZbD8/8xolZ3OOB6nGYX3Zi/b6Nd/n0yde2+mU+h2deymXFwus5E9MwuXCf5chmJISPWf1QmYZJt5jKWdczdKVRLI+b1yJJpD64QXkSHUhBkKyf7nqAunzVcBo7XU6SbIumWQIqZ9eiK6C5HicmCrJ3pW4G+KN/T5JPMU4bbfp/ZWsq8/9/j4BRQI4er0Xpk5hMODaNrCp7mAdjXuAdA90vyTdl5pEagI9J/1bq8UeMZOEOylMlFyKhTPQzcnsTsx+p0PjmMuFBeF4zJ+T8ZTknDZPHM/PcFpfxqpkUgYo0RVjo8PHALlQlpgVBdeNlBWKG1rXYsh0L+qghWJEUcR58HKxB6jaycToqXDqdoHZjABgs5laWbReBODpP+1dJdk2isnLidlYQHc+8z7oAK99D7/dMoER+y7gpOA88Ci31fp1jrFKSL9zTE6d47UaCh8VLVaYBSvEXL8Pfziwb9N7fn79HkgeCrAn0TkCEmUZGXt/uZBp2m4pqbciGIMBwQJTTGW6X+pttmcVJLvXfhAbK7n4+Zz2t5RXISCzfnC/3TJOS72jIq8o4tze2XiMp6cnsvL67CxLyhggqZoEgkoaXJcpyn9hMuH1aM0IfJWh2+1talURQ1yXm0sxoxGSivNS2Kg40jpRcSTAWlJuPVP1OgsUU4HmfXKND4HeGVIPKbZKxaU4qTgiVYv3PFcWC/79u3fs6ZbvgmK+2gFUSNfjcv08Fnih80sGeVJCiSXWOZPnyVhPhbueg15ifDWPXkZ4Al0EdshbQHui308gusCKWvvOpNXC8vvvk4eL2mcUZ5Q/aM8I+NCz0TkpQFa96nqWmsxQVelefwkk6O+VL8izRteu+6pzejZLJqRS3UliL6BYY18FULx5w//98IFrF0iO8Hme1CNS12mN6Xy8vo7tJfG5ns8szmczuB9+ALZb5FUFb7lbkWU0Ucs5LtHnOfvFLU6H85ks6WjEViHLz7LNBri9jfEO+z3whz9QPm57IFgOkW+3jF8mSXbPz6islcoZeJmdTii3W+TtNsLXX0cjSxwOyJ6e6Pq92SAbDFigm6w8azRQZRzJietrthSZCmvkHJ4/f+Z7vn3LGL1cwrfbyJ6e4DcbuNmMqquiYB94aWPUOh22eh2PLOJt3GHYbEh4maIm6/VQtdts6Xl+ppKp1+M9kFlzv89zt9nkWb/ZwJlhnTdTOX9zw8JRue3RjMm++44j0050o8+2W4QPH3h+vH2LbLWiHN0Aa6miXFXRQ0QgorU+yQA2trwIvOr1aDBqRbuXF4Ty//0+TvsIzSbzcJE+VktEzxepUkJIxrXdLvvVRdwAVMx6j2o04rW1aZIbzCA1Ftze0+ndOUreAU6D6fX4M/a5kTW3+PTl+LRfZM3FyltsmU2neLq7e/G7AFjAA/xMqU5/Q6/fC/Rf62XJSWYMoCSb0ekYSOx5LUkMITBhq/+cEl9LoFQsR8MpJaVK4GrSNN9oMLG0JDnK4SXPlnFOTRqKRoPoqrFskvUgzzm/UECAY49KLDwkWzUZpbu7i33l4eoqypqcTIYAfsePH6Nxjp9MeM/UP6qxJmLKJRPTRjXJXWRgJa+V1NFkwAASqy6nXY290mxzOcLu98mcTI63RcFr1dxUMcv9fhrtVmdohA4qyViv+Vkq9MRSifWX/F/IuRi9+Tx6GcB6smIiqeINSAyScykZ0uefz2kkWrudTEY0ukjJHZBYeb33ep3ckWXSpAROBe1gkEx6xNKIsVKRXb+GyYSJrApyOegrAc3z5PIO8BmIPWq30/xLMVpiGuqJn9h1verFrVoslOBZwRl7sHQvaoBDsMLWtTnT2tUls3keWVBkGTJ9lp6rksh2m5/z8MA9qx5RtazYZ6ldJTKvkjUXnBmbqci2z8zqzFPTnOcHAyL42sfdLv+sBFkKmqLg30s+KsAjhLRPzTlfBWy223Hm7PHIA7LZjIaRoSiYTDWbseiL0mqTFwaLE269prSwPpLR1kB0aNc12r2Xqki90xCKL4bZCtqswbE3gB386nUX4KKirdPhrGC10yiBsM93Uj5ZbA3dLhmHqqLksdFgYqxpApbABIAjaoAoE/QAPQRK9oxGGayATzGWVjxG6SMQjQODKW402zyavz098Rko0VIxXpOVxyQOBgzbNTkDngIANJtxfUXJsMBi9WSr1aYoEjAqwKsG5AUx9/U+49mM8efhgf/Jk0NsuVjg8TgZSNYVYCoGGw3Grvv79Dsq3CQpViEu9YlakSThFjPrXAIGZEgGJFBJ76liXvJ1eYiEwNj86VM6F969479p3SkGqsisS9/r7SG2916AH3mevEAUG1SI19sMdI7bennRRiFgotHgd3185DUL6JFyTb4CAtXEwqvdy3veJ8X9RoP37OEhgZ1fJslS1qxW6f6XZVIvCWjR9xeopDVooy/j70jmLqBcYLcUCLpHKtb1/J6fkxrn66+T0kOghHIOnXvOpXnp795xrT89sQ1O30vA9273AizDdJrWX6eTxmia8s+dTsDtLXOzzYaxyqTXASD42WjAn89oLJeUF4N94M4MEbPNJs6e9tZSlY/HyO7vcZlMENSvbCB75hwuF3pQhDxHnuc0p5P573AYHcmz+3tUtpbDd98BziGvKlS7HQkYtc7NZsgPB8rRM5pehuOReedsxrYe5xgz1Qvd76N69YqsrZFTzpQsfjJh7Dc5dig5Qq4yY7vMWPvqj39Ett0iP51wOZ1QdLvwvV5iee/vOR9+MolnujufqWSrKgIUpoYIioGbDSXypmTzztqgdIZbC0ow1tx5j/DwgPzuDt5GuYbjEW4wgDse6ZnS6/H9i4Kz2R8f+azl1SHyyXvuMasHwnQafZSCAcYAeFabsbIfj8n6d7sEZYL1mDuXCleRD6a2kdmgt/UTiQ8DmNHrERDX2aVY6myWuQFu0fDNiEdnAHisDVArtm2PazwaH7TJ1C1eOCDmT7r2GNvEsP+cpF11QP3ffkOv3wv0X+E1Ho+x+vSJf2g0uGFWKwYIsXMhcI6xIadxFrP3ERFDMNM1CzDheEyzjK3Yi6x6WVLOrv5MMVtKXIdDBh87ACBppw52sVAm2USzyeuuy7N0+LbbZL+MuQ8AES8F7XqPqZnYODmMX10xcDVoXCVwIXjPgP3wwO/1zTdk1FQMKynQoai/lyRfiY8KUvU8ivFSkia2vdViQiUXdY0HUuGiQnGx4M/1ejxkR6PEDN3e8mCWk6aKBUkCJenTIe39S0ZHxbgVR8NGA+vHx5RcqKfxcOBnyKhO895VaNSZYSAlZuq/U5J5PidGvtFgoayfVbEqqafeS2vifCZoIRdhMT1KktRjrl4+oaZiwrgxUjL18WMq7PU8NS9ZPYXdbnK6P5+jXDaYVDky35KY23MORcEDTcG722UiX086RyMayIi90RrT8zifI2Ick1yxQWJ1dTC0OQM8WP9cVA4ouVSRoeRWCbvk8kKEBa4YYxiUyEna1+kwkVDiaZLh4fU11mKrTMYmGaSM0JyKG+0FgVJZBm9Iu5OsWVJRubkfa1Md6jJaW2vhdGKfnp6HXMr7fbIHYvUXC0qwZeAmwEpJsRhNAL7VIvsswEVJvtooQnhpcqX1UBRMPsx3IlwuKUmxfR46nSTJvlwIvhjTHsdRWvwT+5FVFWPo6QQ8PxNEVMzJMiY0nQ5BCQNVghWMztQk7nJJUyuyjDHevlvI8yT77/V4Blg/ZTifo8MuLhcaIpqRkAuBSg1jSJ21JPiy5PUYAINawitmHuczxoMBnutnwOnEc0SxyblkEinlkhhB/Z2YZpnECXzQ3pMyR2onuZtfX/P/f/6c2E+x6nquAv1kIKk4J/+Abjf9uwAKrXHNDK+3iqilSPG1rmorywRCqt8YSL3PvV4qrC+Xl54gUh5opriZqOL6mvfm6SmpnLxP565AlOUySeLrRYHiuP6/sYbxrFGrgN5bYJeenwBIXbParKSEUVuC2owE7Og56+zPMsb1+RwYjzGcTLD+9Oml54nAXKmxLPeIsU/xR+CzetK1LnR+q21CZm7W2xxbhiSBlxJByjCBADqvBDzoLJEHigxpLxeq5F69Ssa3zWZqA1A7A8DvNxxy3c7nvPd/+cvLWfa9XgJDBMhLCaAcYDKhY/nDAzyAYr9HaUonTZEIkpafTgjLJYKx0g5AZYVhNLLbbik19x5VnqPYbFC9e0cyyIrFytZmNAZrNtkzvd0i32xQtVp0NHeOxfZigXIwQPbuHbLhkHFwv2exvd0iXywQ2m34wQD5ZkMW13uELIO3PeRsLWZFgfJMryUHoH9zg02ecwa5nS35wwOLazG7lndmmw1cCLjc3KBwDuXdHeOp/IfWa547/T6yTgdVo8EWrMdHzm5vNlE1GtELKUwmPMvOZ85/t5bKYKrGLAQW2lnGuFkU0TAzmLu+e3wkyG75X3E4wL99S58W26cOoFO+vBm0Bp6f+czM08FdLnDPz1R2Tacpnqml04p8Z3mGJsaE2rgyfYYL4WVO5D1VC1Iymnor1hUqzlXYb7fwwyHd9ft9guxS62QmaVe885x9HqSOs59TUQ7ghdT8J2Zupi51UrlZnYSKI6e92tn0s85xPJ8mONl6gkD4GqP+W3v9XqD/Cq/5fI7Hv/yFC9wKcbFLKEsiV97DC91VsazeQ/u5+HsqZnUwZVkap1ZVTES73YR4iR3QoaDkwzkiiM6xf1LovBBjJQdiQ+pshVhKIdiS4Fh/rhzngwXWKMsFeH1FQdRNUliTK/l2m4mximfJhiWBvrpif6oS4nofTa/HQ1Mbty7bVlKpBEJyWxWgYthN6oT7+5TE657JzEeFonpgJpPkggukQl1FA5CSpPo+O51Sr67GuYkFqSrMZjMs1OMvplzJTrebWBD1hG+36bvL/EYFn4zd9PzEVqj4VR+lmBCNPJP0Twmfnre+y/mcCk71jMvwqZ5YNhpJYQDw7zW7vt1OI9VkDjUYJBM4JYxidQRYvH+fCsjzObr4+mYTmUbZaP0r4ZSSoNdjMmZyr2Br1Ona1etpLGY4n7mftI61hsSGWpKbCZA5HhOj9vSUAC2TxoaiiMVykOFaTa4VrD0hTk2wfY1+n5J3JfGnU1Qr+DxHtt1yDvrjI9/7cmFvelWxv0zmX1J5GGua1SXhWZaYZGuHEXqvHuqw26X58Eq8lXyr7aDXQ3j9mknAfs+Ytl6zN0/spdpBLHHwZoYUGg04mcpo5rNzqUe1KBLDKrAJoErItlemdateZwFT3S6L682GSe/pxNjsfVJCVBWZi9EoxVIxzw8PyCRbtpYh1+mwKHepb9s3m2nkIUClgbHkMmDzeZ5kgibPdyGQCSgKxtHVKj0XIBbmYvOdpITdbgTVwnBIsx5jyEOekzmTuqDVIrhwubDtCizW57MZHlSENDj206mAVPEpVl5gnt5TPcDqeVbM7PeT4kkxq9ViPFLPcwjco+r5zXOCdipkVbiq7Ws85p7Q5Ik6gKgWFN07fR8BarNZUlnpDFAbjxRNlqjG9iDFHcVJxXQxSqNR+ju1M4mJUtwUoNls8n5cXaXvrvdZLPhnnSdSSek7KbbXAWcgjREUgKpzW/FeQEi9z11tEgL9akq+2LIl8Fe96FZMxBhn32/27bdYNJu8t1I7eZ+Y47u7l8CagHOB1lI/6ZyRiZq+Xx3sqeUG0buk1UrGhIdDYt0Vg1WAyEdBZ7pAG7WJSFo/HpNVF4idZQmQVFuaAJzhkPdH4+2enpJ3S7udHOa326RQk0GsARSZlCVG1kg+ndcLxsMBZcZxlb7dRhgMkK/XCI0Gpz7c33NOdbuNfLkkgzmfo5Ss2Vzgc1M1eSvOXbOZzNVMyp8BqJ6e4HY75G/eoBJw7j3C0xOcTZ6olktk19cEJXc7ZK0WsnabZnVZxnzN9p5ircDPMJ9jkudYPj0RRLW4Wo1GaSb3+Yz8ckG52/Ecm8/pvL5cwn/zDcFmWyd+MIBrt2nYmecIqxXcbgdn7HfebHJMWk7DO2y3BNwNnA3dLvLVClVZslXr6ooKU1PAueMR3vwgsttbthKMRnC3t8hvb4FeD9XVFfOITodjVRsNEnA660aj1Gby6hXzCp0l1oMf95/aMQVujkY8V1QzFAWL6NMJvtMhGWCEWxDhJwVgDcz0mhbQ65EQqxtElpwAEwaD6H3gpM6zHMUBqb/czkuX5xxj126nYt2Y9Gj89iXz/VdYc3mvBIH59n0kW5/P53h4eCC77j1bE36jrHn99XuB/iu85vM5Hv75n2Nvobce2yhvtwMr7Pcc4VAUlMBbL15WVZQydTrceCq2LbHLLhf2p6ogA5ITrQ7tPOemUkIg5N+SLrE7sE0dtKHqzJCYWbGW+nOjwUJAB1yzSdbG5EXOe1734ZBkspLkC7SQHAyIyYbPOYbOSUapBFPjL25uWCSoX07SwFYrJQbqk1NfjRB0yYhCSONZiiIlloMBf1cjz2rSUqj3SkCFxtqoF1PB+HzmtSoxEpqpg1myPRUcwyGvyeazzkYjLOQ+r95HJbgCD4ZDXpfu3XzOz5NkWnJq3T8F6ppkKrKV6ofSGBk50aqfTz8ntlfXre9wPCb2Q4eMDiXJ+ZQwaoZwUfB3lATpMFNiqERes3ll4qR+5V4P3nsapYj5klRYcndJQK+vX0pLxR7pZ7IsFXtiqcSmK5lTwifQQUy7Ck2BTgJTdL8NxZZUMe7LOsMn+XxVJYdZ+zzNZ43GQv0+UWyBD9ab6KoKV9fXBHY6HY5iyzL2Ilo8CiGwV66ulDCTMRRFLB7D5QK3XLJANebWSdrtHGV6Sjhtrqx//ZrPz+6v2+1YkGvP53l0Mlf/W3COLrndLr+7VAna0yr+TVEgIzQBBLEAtfvnTycW50BkyTS6TmsizpLNrefblC/elCzOEhR3PMKtVkz2xKRaseDzPHp9OMUDjbIpCpo/1WX3WUaVhcn9g/eM6c1mZGiw2UQjKWdmN95xtFJ9nweTqmf27GBmRg5gMmXFoUZ6AogqEPT7VAmUZVSWyHzu6uqKBbqK8somHvT7BAG226S4EdusAloxtSyTfLjegjMYpDYiMYtAMpoT4y1GW3LixYLFswDmujpjPk+mXnrmaj9SDHIu3VcBsodDUkFJJVEH1ARI12Xv+jsVgVL4SJZv514s9nQvVGQKsJSbugre+TwxyQJg1ceskXRlmRJ7nS8GwsV4rO+g3xFA3O2mkZ2S2Sv26vn1+wlkFZgsEO1y4f1fLJLpmlQzpo6YtdtYKA50u2lUnMxNBQTrPGy10tkbAv9OSg6x4WbyGM88a82JjLrAHQE09fniGv2nGKIiXKoV3V+BdlIhScWiuJplbL/qdFKLk2J+/RwRoNxu86wSM//wkM4lKevUAqPz5vkZrqqQTyZ0/TY1jYzFcgPAQ7dLMzYbS5gvFiivrxnX379nL3uzSRO3169ZqAOMdVlGI0lj2zNT+XgADSs2nc0B95cLsg8fUPX7wLt3BPv6feTLJUeWHY/Inp5QmQKy2GxYAA8GKAPHkIXhkPFTcU7nhK1R3+vBLZeYzudY7PfI379PhJH3bB07nxEuFzTOZ6oKJhPgxx+Ze759ywLx+ZnydyOGAiijzu2s9PW89njkdTnHAncyobLMikG321G2LYd0gNejuPTtt1FlGkxZ496/J1h9fc3vVgPkghSB+t69Hgt7G+WXPT9TiSDfBmtBCO02C3+RB4X5wYhY2W6p2Gu3WZz3+7znpqoAEL1XQlmmusBAjyAGvj4hCWCLmoHrQeCfyAiQBXci8k4n/qwpPDIV8UUR8/16a2d07q8z4d4nHyvl1rZ+vFRIwM9K2uezGRbv39M3Qbn7v4DX7wX6r/DK8xxehakxDc57eMlGbQGq6ArnMxMrz7EUwSRbcTyOySWdFSMuz1OyrmJAzKFYThWmzSY3kQ49/b36lQs6QAaAYyKMmXBCpRsNFhl5nphOOwA0CgjrdZLiz2YMODXpDc7n1B9Zk8nH7yDHb2MwQ6PBjVyWLORNPuVkImdFXDgcEkhQl1QqCRAbImdhsX9KSsSmqPdNSXeWpYJRLIqxmS+kn+rJzDImC5LrigUWYKDiQwlfXZK730fHcrdYED3Xe1wuyYxJiKuSGyWb6mOWvPzhIYEUSiZVkB4OqVDvdJjwSVba7fLnP37kZ1xf8/0kvTRZd2Tpxb7IVVkKAnkbmOEMZGyiYl0Jl5gfPVMl4vXEVAg6wOuSfFr9W+rf1zocDpNE9XJJMlwlpjpM60y7pJDOpbXTtDFXeZ6KNPvMIFbZGNoAsFhTsSIgRRJ7rTEdirYHZJoT2aNGI6kh1BrS6/Gz1BYBcN9dXfFgNpbRAfCGLuvanWR1Ai+0/oVSS9q/3fJAL8t0H3o9FvUA41IIvLejEXBzwwJ+sYC355o9PydFg76v1iqoDgjdLovDOsovmamKZ/vdeDIJlTdAMbRaVBKpwBYL2eJ8WYGezsCpGEe329QH2O/z3s5mLJDPZ8YuY19ie4wVJQGI4KYD2N7TNrdiS9gdEEGbYJJy1+kwwZAjsxKKmveAM9VGKDgyKVRVGrFkkuJgIEyU0gPIjDn3ZZnG2siZWEWnnRtx0gQPJgIu3nN9n8/sQ7VYKF+TCAjbMw2TCe+RZNlAip+WDEd2VEos/Xy9UJcTvn6+7hKuvudWKxU8u10yNWs0yDapp1vsqoo22zexBUXqmS9aESC/lFev0n6U3Hu5TGe2QAYgMdRSZYnl1hoUeKh/B9JeElAKJM8PFd3WoxpjpmKSzKLUOy1ne7HNkvtbPEAIydhM55MpR+I1NpupwBRgEsJLlloxRblLnqdedbU/GaDpjke2Xah/vNfj9+n3yaqv17xuFap1R/t6TBSgIwM5XXsIySdF55dG7KkQ13kjNYHUVY1GapkSIwfw36XYUqLf66X7rDWn+zSd8rtozYqZF0kgYGA8frkGnON905mvXn2BJbamGtstSqmWrFc83N6mAjvnmLF4TVdXCM/PwOMji6XjkbJsG/GZG/AWjF3MrB+/6nTgmk1kiwVH/Q6HHMemloDHR/ivvmKP9HAI12yistFpbrOBWyyQTya4yIjOzm93OlHFNRigareRGyDqBWBUFWOY7fdsNAKen1G8f4+zyeBjPDK1oyvLOMYz//gR1VdfMQYZeJxZ+5WfThnjTd2Re4/QbLIf+3xmkW1eE+5y4ezxzQZ5o4FSHjIhML+4XBKQ+PTE+3xzAzw88L1ev6ai8/6eOfjVFduK2u2UG02nVJFVFYv53Q54fob/+muCqsslz73VinPWlaNqz1guHwzIDyFQZQHE94VzVAuax0vwnsC01CWehnaZpnLk9MZxApikjLvQiyZ0OlQf9HrITidURlypvhBYG8oyTriBFd7OPFKcxaHIhIsl15kezBjOAPsXrPn5TJ+A2h792dnm5zOKqqLxoPbRz70Uu+u/+1/56/cC/Vd49Xo97Kxwc95cKIsC4XAgO+Ec+7BtwTuAAagoUpKYZWTezfwpK0sWb+oNN/lesGQsU8GkzapiWIWQJbiaWfiitw14IRd2QETTXJ15tIRZSLgMkwLATeE9Z0uqEJ1MogtjdKu3BFjGVMEKI3c+J0ZcRYIltg4gaqmkXwekJG0qROoHtwpqSeokx1SxIpl0vYCV+6uKLfUOyqW3npDUDXuc489dLnwPsdxiJiQDVQKg5MhkzXpWnX4fB7FUYlyUwDabqU9JTIbeaz7ntUqWOholdkTs7+1tUjsoyZaMUQyTiolmk6616q9/944Jl0zblARJ0ilmVuy/92nNiE3SmDo9J0nibdxHNNnpduPYktiioOLy6opJn5KlVot/VxQxUQ+GCscCcTZLrJESd0k2rRB2ug9WZARnPdt19YKBX6EoIugU+8mleNBnqEgSgBYCf1aqBfWh6vuJUdfak4zrciH7MJ8zNlih4K0gc1ZcdwDsLAnDbsefk9zVQDNYQh2yjKxoCOzXUxF5PPIzdS7oWq+vybTb/guHA+OY9rwSnRoIE/p9hNGIMnqBFkokBKiI8bPi1ztHSba3mazG9mRSYlhyoWI2xgHnyDJZDAvHI2NlnrPPUkZwo1ECvU4nGtQJvNAaazbZTiB5rdZZWXLGqyWSLoQ491wtQnHmbpZRqm+qpGCxJHt+ptyy1WK/v3O8RgONXJbBDYcEJ7V2g43BUT+vYsjpxJ+RUgpICZGUGZLVwgAkb2NsdE5Y3O/1+9jtdqnXcrPhs62DLSogFdfW6xSTBJRp/cqkS7H2cklAoFqK1Aaggk3XI2BNhZZawHa7VCiKgVYhrOROhbrisgpVybKVpOo7qQ3CelgB8JoUS5xLa1UxTcoceYOoNUwtLepDViuAQBzFFsVLMVnaP5LAqz1IZ7Lit/kgRAM79VI/P6eYrBakomCsFXvfbKYiXAooFYo6e6QW0l5TK4uAlm43qZksdnd6PRzqLWeKYZ0O/+v3CYJIQSBVWpalwrWWd7wACLTeFEcFLot4kOqqbvSps3Y4TIDOaJQKde2NRiMx6oq/GrmqGK61I7BYYLgAFwELdSVfUfB9pAKQYZ48D7Smez2452fGUO0DG42Yr1Y49/sc5TUYIAwGKD59guv1cBkOUfz4I7zuwXrNYrrTQWl7NbM2oNBqIX96QglQul0U7J0uS4TZjI7vZUmDs6pC+PprgpnzOQHopydk2y38cknw780bOo0bQO6A2DYQmk0WeFUFv1wis0LOAaj6fRaZjQaqXg/F+/doHI84yrit00FelnSP32xij354ekJ2PKL6+ms6hNvs9lLtCQ2OEfPrNf2XQmCcLwr47ZaFf7cLv1oh7/U4Q369RtVqwa1WyLIMVafD/nrtWwOd/Hff8bnVjYP//OdoRuxkttrpcFxmr4dgAImr6FOCjx+5Zr75hntGfkHnM9w33/B8bzSipN2ZikJTV6IMvtOhlP10YsFtMc+1Wkl1p7NVSpQQoom0b5rh53IZyYlwPNIhfzSKn+fKkmaDoTavvKSZtAOiwiMz87/YelNZW5iYbp0t+rMBbj9hzUHg30uJZfH/y7noAInCUFXoTSbY6f1/7iXA+DfGrP9eoP8Kr/l8jof7ezLIQOq50MFryb/GN8mJN/68Mc9Oxmhm3CDUUmYiPsteyFmCCnUVBUDqodIBaps59oSrABSDJUmryeqcsS3ucknJmL6HAQmxV9bkvKGqeO2S3du4iGBJg5j/+PmW6AZjsqNZVQ3lDjKcUDCXHKculVOxeDik3lUlM3XJug5tICUBSpzEFKiQkimapPYy/9rvU0Kg5EuSutUqMUG6X5Jaq6hWMqR7325T4i62XyihkgDJKMXWqwBUwb7b8Tq//jopCqqKB5ok2UWRJPz7PRMSPXMFSiWlkvWHAPzwQyqQ85xFcr2oVKIpya4OBKkElKCIsXnzJvWLqkhTUaR5ps4x4TGJXpRBNps0d1MBfTrFudgxeTbGN7RaVF3I7Mh7KjT6/eTGLhRcoNJmw/2ndaX7ontqyWjo9WKvGkYjShSVjBngENpthKsrFsFKZHUflDh5n5yUjeny796xIM/zxLgdDixEjbENjQaR9fMZV5MJFrqXQJKTNhqMPXZNDtZLZtL8YDK1TIl8p8M+OR3k1nfp7XecDkgVZEqOBwOqcLpdsgUGzgSASURdcmfKmgCkth9rAQq2H51MnCTZ1doScGnv55o0qMvEFhuL50wJESrrdzNAJdP72nUHAwGdySkDmBA4650U2h+yjPfofGYsNPlpMNNDZwlnAPjvhwNl8tZXGkfLmATUyQxPygntYecS6y51iL6rACX7PjIv9JaUR+NGye8BJnolZ6lDz93ioBK8q34fD/J7KIr4XXB7m9RKUl3prJCRm/a1ClJzqI7+AcdjGofmfZJo256JzKIKPK0veTCofUmxZ73m+93dpaJWPfJSxgikVIFZB6FVqKmoldGc5MfTafquijfOpVYjxXEV+fLRkHLg6emloacSTX1/7QMx/pdL8r5Q8VcHL1SsC0zXd1RLk9RPMrTTflF/6WTCYr0uCc/zdB7U8wMxTypSBSoLAFG/tznrz6oKC4E0KqrVogQkM9XRiN9J3hZyra8XwXrOArB1r+qtRnUwSOtwOEzso8amSqavc0Agra5PYFynw7WkXEJ/L1NL3WvdOwE6Yjzr7U6nU7ru85kAkn7GVIHxPYygcJ0OlT15Dnd3h+pw4HjELGMPNcC+69kMKEs07u5QZRlN2cqSvc+9Hg0jyxKVxVaXZTzjrR0MxyPyuztUVpBlRcF+8YcHjvz6+muO8jJVVNB4xvU6Aq2Nx0f4Xo/GcMcjCu/hOx2aidmey/Z7Ekp5jsyIl3A4wM3nLJr//GdknQ7Gr19jIcXf5YLs6YnsaL/PlqOPH9kXf33NVkdby1mrRQm5c3GiCg6cIILplIz7csl57wAZbjHddYVPUaS+/2aT92Cx4Hr45ht+5maD8OoVf+f9e54v1g+etdsIlwv86cSYJNLE8oTs/h7l11/zzBdwJ3d0gb6WDwNkjFEUjPt5zrzDVBfBaoLQaiHf79OYUO0ZgZQ6Gy3HC60Wi+z9nvlPvV3K9rgXiGxx0Nk5F5W9ZkgdW9LO5yRpr6qoMBTQ/mJ82l9jzS8XAgTyt1J8lGJGL0+X9uDo2TO/ueEc9C9fX372b+z1e4H+K7zm8zkef/iBibx6j+vFd1HERDmYa25wjtJLO+BiklWaO7v16YVWi2iXimaxOFqcKtSVMDkX5xY6JT5KACUFUeFucvy4yY3BVm+4zEycWF4FPSCxF50OGTAV6sdjmk1sfV8K5O54jAlklAnbppcxXpTthxDfO4RAtk0jKtQfJ4TeevlfSCCFyCvhl2S/njBIQihUPAQG4MnkZfGug12HtIrcokh9ayr4lfgVRRrd0umkJEu9a2WJWa/Hw6teoCuhLcvE2tjzjCy0FAByV+Yi5EGkBELJoeTKpxNZcs1ellqj3pOX54mZCSHJA6+u+BlKTnXvJHlVci5n5br/gXr5qorzREej9IwU8PUe9/f8u6srJjmLRTIJM7Y1mhDJw0GO72JclHApCVbfvBJLzWtWcifZrdhVFdyjEQtik557c4DO7u/jvkCjkdB0Far2zINJx/Q5vqrIDjcawNu38IMB97mKSOtF00EJkCUNgwHBCUkliwKz4RCL/T4BXJZ0R2M6A6D84RB7kCXXVuLgrafXAQlIFANeT6TFrg0GBDsUE/Z7xomypPpASbQBYNGFPM9ZWOc5Y0S3m5IiMeONRmJ9harbtTjdD0vYggFpkvp5SYWNdcseH9Ne6/WYdDabcLMZ4/NqRSmoxdLQ6RBo0LMHYi+3PguzGbdmCPwdmRMZWBQs+XOdTuoRt7adKG3cbGIfewAiy6rxbS/uge3F2CalFhEbeRnKNLYt1AFBgECUrYngPdkaPftuF/M//hEPy2WUfIbzmeeRMSpORmcCOvVSsmsKr7geJZE29Uc09lNvrgA39cprPGO3m2IAkJh0IMWv8Zj3XgDr5898j7q0W4ysQD2BB4oVQNrzMk6Uz4YA8Sx72Uqj6242GV8vlyQTV6zV2bnfM27pPLq+Tk7zkkrX1TzyLBAzLuZdIIhUSEqcJTMX+Pn8nH7WCq8ITOi6ez2qoJTzTadxXUeAWPFZcV8KBvmFyPzUQLJZq4XFn/+cQEc53Jdl8hcRgB1CMmcT8FtvAdNZrLNC90vgnsASxZ06USCATw7vMmsLIQGCAjtevUrAtabK9HrJdf14TEy/+pJrORlsv8eWN90jqROenxNQdbnw3JIsH0hFuzmh+6JA44cfUIkU6fdZnK/X3IvX13AfP7KHvNWCe3yEH48Z56Uq83TUdoMBwmLB/duzcWMfPyK/XJBNJnRyBzhrfLeLknZMp5TWLxYIz880hMsyZPM5qgPHornRiDEhBFQAx4j2+wgA8qcnVBZnnHN0TZez93iM/MMHZJ8+4Xx1hazVwmQ6xcK8l9xiwWkd8zlBg/Ua4eYGRZ6jPB6RH49ki3Xens8szp0jmzsawbVayA6HNMN9teL9mUyiQsodDlRoFQXCeIz8ckE1HiMLAdVmA/ftt8w5VyvkAMqrK2SfPsE9PyPLc5SjEeexdzr0aGk0KIHv91nkdjrJx+Lv/i6NHez1CLJcX6e21H6f4+ykMBRrHujLFLpdhHY7Gp56U7wGre/DgbFe+budc6Gg4Whot3l+Pz5GQ1BsNjwzu10W/u12nCiFLIuqwFBVCYjObKTo6cTzTMZ5lu/HmeNfFtdVlUaw6axQX/p+z7NNsQS/IGm/mL+VtWrAJZO4F6/qpyZ0v0vcf8XXb6VAb7fbONoh4pSoNtJcXleTsmnGcTifKec505gp5Jz3ixDSKLOzzUC2Is6bnM55zyQ5y8h2GZoXpfDWAx/KkgVG3SFcSLoVgkEInSVHwYI/gIT06fOCjUfTd1TvGm8CZVPGFmnERyy4Ox0myybrzYTKiVk3VkSI3QtGIcv43k0aJWWbTTq0FTTELEmmp151IY06LMWWSHYopk/svZL70YhGOGJcxBqI4RTbIompUHmZ3iiRlLzyfE79myZVarbbOMuYR4FPDJaKOwEZKpaUtCkRkPRXCobhMLHqYpLFxkv+/fRE05m6KY/unRI4qTzURiCZupgIJYK6D+q1bzaTm3GWJaDgfE6j0QYDXqOAAclCFczFcrTbRPzP59iji7u7dD/1M0qq6uZLrRYP9+ORh2VZMx1zjqzt8ZiYW/XPSwlh+y8mX7sdnbdfv+bBpfYN7S1dvxJMQ42zVgu4vqbjd5Zx7dph6u0wUhsMigJ+NOKhqZihxFP3NwQ0Gw2ctlvGAedo+iPAZjTinj2dkvFMp8N7mOd0QLe2iExsu1pGlJD2eixqBbRoLZlM2+n7ijWvJf2hZQZqBuKEho2LEdtW3zeKIc0m722gGQ1Mru46HfbvmVQRFc00o6zWe+DTJ/bEC+ybTpMhpgGiqCq6sl8uTPxMBaNC3UvCP51Suq5WDD1feW6YZDgAVFMY6BOyDM7mgGcWh8PhwOdoLFvQXjmdIugjp1zsduwlFUMqh2+NkzKWHqcTXeIlvbb1FhmO04m99QJ1i4KGSNbq5LxHC8DJ2NhgAFkGvJjN7YuC6/T+PrG8KuoUTwTSCYATsLff874IwPz8ORXil0sqltVDbeeM1h3kdl03M5vNkommxmCK3bSpKC9GXumsEwureyUPEcnyVehqHyhGyzhT/6nfWeZ5Um7JlFJqm8UijWq7vuY6s5aI2Nqi80fKIYHMihtAYt7q8VGAhaTe+l21EUmOruciP5Vvv017RaCsCkzFFp0xAlzlDaI43+2iCeAsEPL+/iWjJwBVZ672p85UzXQXYKr4rkJWZ4XYeynI1CIjCb3iooAS3RMBtTW1UsxzyjLtJzHvl0sCY2R2KIBeHjCKnXo+tXM7npkCp5bL9G9ax1obti+z9RrFYoFzu81xYMMhsqLgjPFeD2W3i+KHH1i8WM7nhkO4bhcXuxZXlpRYd7to/PgjLp1O9PkI9/dAo4FsPI59yX6xQNFuo3r9GmEy4Yzwp6eoenMmM88GA/j9PhZ1IQR4ALn3iYnfbOCfn5FPJqiMbIkmuKMRwcT37/m5r16xnz7P0Wg2US4WNAbrdDje7e6OueR331HVZiox3+mwoDRVpVrLgp6zNzM6AwrD8Qg3HMK328hXK3p0WOuUN7Y8VBXHtD098X2++y657Qto+/FHKlgbjTRn29GA089mwPU1WwR0nn3+DH9zAzefA58/w1lukO12CF9/TZm2PIIMNA+5TS5pNOLot6gUNeWSO514jUaauP0+qmuVI8YCVbn56YTs7o7GpcqdTL3lh0MquDzbyFBjzYOtZwERodWiwqPZjBNPIriogvuL4tpdLhGIf8GaVxUBFeUsOsOq6idO7O54JMgsBcuXNZVeX0raf5e4//qv30qB3mw2cZHBQ+1giHMuxfoFG41Qsu81ZBkDgySgYlGLgovd+yRTLcuIwoV2mwkYyOqE0wmZMech40zHWDjv91GqGjIzBKpLSFUMqiAUm2zJYmg2GVSAyFS7sozXHuWAQr3zPDoCR+MSFfLa8BY8EAKZKxW8SkiyjCilyZWCgRZR0mdyYZxOlNarmBcrJDWA+o9Pp1Q0C+VXYqZCTcmA2HGAh7mMy9QvrEJa3gF1RYN6D2XUI/BARUFVsTiz4rcAUIp9UBKmg+9ySVI9fe866KD7re8idl/f2TkWk71eSrSUQBiyiu2WrHptZn2Uq4pZkHnR+ZzYah2Y6uuTLFzslQCe3e5FP1RMcsQaN5vAV1+9ZJykIFDiezwm93klyyb/jKNH6nJvXV+9aJaMfbmkc2yWUdprCUGcLayCzVhFWO9Wpj2tgl0Is5g1SX3bbaLu/X4cW+I2G7ia02/Ic8T5pUWtx1oHjsk/hZCjMtd37ekQUFQVSlvzIQRKr6sqOd0bquxrvWO4uiJjq551rSMVVnJBznNKFevKkFpLTlz/Ysh1CMtERvdRbDTAZArg9zbFR7w2+x2n95A7tBkjAWDSNJ1G1ir7/Dk5c/d67AOUGkagniV+asvw1kecGWsanCN7NRhEUzO3XpNxtv8AsIXHOcZAsbWKcfU2JitYnO19HwJnzIZAtqnRSDPa93t4c8mFOShH0ykgMSc2fkvO7JExVpwwZtqZHBXOwd3c8PvZWnHy17Dn3Oj1cBbwZ/E/q2xCQFGkPkfnojme+/AhFUqS79bbGOxsi4V4HfCRjPjTpwRmNRosKBWPR6NUQAH8eTHX9bPlzZvU8/v4yN7P3e7lTGoVgtqnOlelmpFE/vExudDLNMzaMfD4yOt+9y4ZzwksyLLkUaL9+upVlBdjv08+JocD4+SbN7wOnTH6e50x6oEXEKd7Nx6ns01AfVFwL6jlQMXqZMKfub9nzNU6Fajw7l2aIqIWiToQKJBNwGezmfw+Hh8Zc1RQq3gWKKCC387mqOoyICo+A41Lk0xd7SdqIRA4Y8ZZcY+rKP+yxUzXKYDGzNei/N9aQGLvva5HSgR5rigPkPml1Gp6HmpRUawUaC8wTSC91pQIjBB43z9/Rrbdouh2URUFvXrOZ/Z9X10xJi+XjJH7PQuo2YxETr8fDXT91RXy9RpYLCKzntl1B1OOZccjSou/bjolK399Tdnyp0/AZgO/XqNRVagmE/gQ0NjvUfX78N4jy/M43lHy/vD5M/NMG9eo2BG9R1YruH/6J8bv+ZzngJ1xxWLBgr/fZ4y6v6eCazLhaDk7r+VsXux2qKwYzrZbfq/BAOF8RrFcoqoZqGE8pmeHmcO6ZpMGZ9MpwdFej6zxcsk9c3ND47dgRntm/ujsel2WoTKg22UZ8PYtWWXbM8F8TMLf/A3X5u1tyqMaDXqKnM8EyadT/mxZ8nw3xazTeEBTxYQQoJFp9VYhZy1PweJy9O8wzwEXAq9ntWL8Mz8Y126T8bd95wASAVI8ijU/HFgvWF6aHQ5JbWbxNmhdf8lc/xXWPKqgJLPX/lXc0Mt7fqaB+l/K1ZvNJs72nevj1+KfBZz9xl6/F+i/wms+n+Px06dUVIeQRg6ouDbpZlxoJkF3IXDMTp7HMQjeuZdJvJhxMdiXCxmdEGIvqIweMju4gsmVQ1UxOSzL2GMawI0bEXQlAJKiKsnWZhNSLwm/HdBO7HhRUMKrpFHXLmmUFW6ujrpbshkkkdehZgebk7Rbkk0lEkou85wB375jdj4nSXmNkY/Fn2TVYmeU9KovcrdLCU/d1EZ9ckA00XohPa8nXQoaQkUFXqhIV5KS58Bmg1m3i4UOdBWvujeDQRotpL5MC4pRnq1eZsmfZrNU4KoQPhx4zXJElkxdn2OzT/H8zCRaiZZGpylJrrvIPzzwvcXyqSdTve2ST8rZXDJIIN0fjd2zkXoYDnmNSmyyLBZcsahtNildU3EhKawKASXTUm+IGVFhIUM6AQ5ioYoi3Zt6f35N+RILD30fqULM4EyMZLhckN3eJp8FO4ydAIlaa0qU7QvgMbTag4WhlCtxjTUawPmM2Vdf4fFy4X6SekQHqKYi1EAFZ/symuHps3SIau+YTDXUphdEV3vFs4JTIJwVOqHZpBpIia3ijqcxWt2oMeTmMgtElN/JHNJADkm+w9VVcqK9v0emdSKFgxUYQX4R53NMfoIku7U4EizpdqMRe9rF1q1WyKztRXEKxnSocIhj1SwWZWebD2ttFZHpaTQou5RUvd/n50vO2WpRNt/tRs+LKHE3nwiNdQsCHGxtuNWKrEcITBi7XSZqkwk/S/H8dCLgYYmfvEW05+ezGR4/f45gSshzglymngkCXexsUouJd47tA4tF6ikXYCBQTGtLiiPtZUlgez0Ec4nG8ch9KKlxs5nAMk2AUGEkibyAsOGQoKn2+w8/JPWQDODEVutMUIGnuKeE1dotXgCSYv8fH/n9X71KPfECrxuNpAbQOTAep8Jb0xjkAdJskr0TWy5gWAakq9XLvnK1Xgmo1Xqrt55MJskVXtelmHt3x8+uX6v3fK9379L9EahVL9CbzRQ7meBg9uYNFu/fp/tZZ/4/fEjO+ToH9R6KCbovAmtHo8Sg19tLNF1EgLpidb3orUvZBUyLqZN6xnueUwJWdE6pHUTn22aTzAi73eQtoBGBuqfajypatH5k7ip1goCUOkC039N1fD6H73a5j/KcI8Fub4HzGQ2LRdVkQmPQPEc2HCLb7dg/PJ3SvCwEhMmEfcqfPqFyDm40gguB873Xa44Uu7lBNZuRPbbv6B4eUB2P/Pl2O6p8wnAIfzohbzTIQhdFbOvBhw9wYoKrCl5KAyv63eMj3Pv3qN6+paS822VMM1+OyXiMpa2vfLPB5euv4zhM5xz7142sqS40UFY7p5/P+e/7PfL9HuV4/MIcMDuf+b10v8qSUvaqIgBg4J777juSWKsVWfVul+PTOh0y+0XBgrwoKOGfzejkHsxEDUB4eorqRPf+PcJ6DcznyD59QvXmDb9Tswk3GlEdoXzHzg3vPRn2fp8xtw5ySjYPk4WfTnE2uQpSADw/Ghy15h4eoirGPT2RrGg2eXa3WrEfHA1ORHFVldpnj0fm3T3OSXclZ8zD2ZQl52Kd8uX4NHe5kPEuipesuWcPua+rV8Iv9ItfOBIPrRbPp595zedzPNzevgQGTE3wW56H/nuB/iu8Yr+EFpAlK7GvXMFcRa2jEUK9/049PxGxCuboa0U/gIhYRRQTINNiBac3SZ1znHGcqX9En5/bmKjzmewSkOTDKipr/V9xHrGYQyVvSmScS0yNWJdmk7PelYBYIg6T0SgJjwWSDulWi4mwMa3RrE5MoR2Qzorn4FwM5mi3X7YTyBTKpFJy3A2NRhofpOJWhaac0WvMVJRsmnIgMtudDtlpJbAqFCWJVWIh2akYaUmyjYmbXV/TJE5zgev9bHq+dZf504mJTl0aKRBFzwjg9Ql4qKz/Tq6yb94ktN/WXkyolCje3SXjJjP0QqORzPBms8R43N0lJl8s+OmU3HXFlMrITKy42EixWDKgarcJGogpAVLSLfZCElnJ76VsUB+6nJXlEmtMILyP+86ZHBgA5Nqd6VpVlOvPAjRkEifFggAz3Us9MznVa//p8K7Ls1qcSx5dUdvt5N+gNQWwYFfPoSlOZt0u1023S9miFDGNBveLEn0BLFoHKshVdIsRlKS7vmckO3UOYTxmPMoy9tE7x4JNQEXTxuKUNKKLxY61lARjKJ0Vvt765gKoANLIMbUkYLtlgqPDXiz3wean2jpzu92LYt83GslxPc/ZYpBljD2WPOLpiaPkzmd47xlfe73UR29FS2QXDGTISjNf2275meczY449F9doMOk9meO6rcUwGvF95OMg9tt8A5zuuUCeIpl5BsWoEDh5oG3jLJXsqKjyPrY0RQbZilBnMnpvRcX81Ss81IzcnCm9BHY6gUEm3UeWpRaoToeJ8Hab5pYLBBWLLhWMkk/tHSDFLbHwkr+3WglQE9Cowv9ySSym5Okq3szsD5MJ7+kPPySFklQx2qvrdYohuj4VawDfU54XdVm1gamaTYy3b/l7y2UCUBSDFDc6nQQ2lmVyX//0iZ/75k0ylRPwoKLzcqEyQGohSdgvl+RFoEJdiinFy8slAaXq87+7430WYK7+axuh+MIoT/FVBTsQ5fKzbheLEAhWyAywlitgMOD9V1tVDcSMyoJGg+dsHfS8ukqxSa1neuZVlUAQFWcCqfV+WkuK28qX1HbV63FNyNRNIDbAe6dC1Io9lCXviWTQUonVwQ+pE1Swt9vJHFFrTy0aBjw4Y37zx0eUr17BHQ4o1muyxacT5eTjMXIAVbudZl+PRgCA/PYW5XBI4LYsgc+fUQwGKPt9Sqa9Z26T5/DTKdx33/E6pahYr5GHgFJy9NOJM9UBBABVnqMAUDWbCDc3cA8PlB9LRXm5IGy3yCYT+PGYedif/4xit0P5hz9Ewsc7h2Kz4fSPZhOT16+x/PgRufco374lq3w80nzNgNSg1gn5KpjiMFwu7NM20FxTTsJoBHd/T8Cy12PhOxrxbGk2aQJqI/fCu3f82aqKisTs+Rne1J1eZ2NZsrD/wx/YIiSljxSJ33zDWPj+Pd83y9hv/tVXvObhkKy590kd6BwLZ629fp/nqWK3TyNFcTrx7DbFZOj34wSkmEM7Tglx9/fJFLEso7Ih9PtUrZacD+/UfmXqyXA48Iy22e3ZZhNHokbgT2euJOmqHQw0gXMs2C03AZDaX+us+Zesu72k0NJ4uV96zUcjPAiUx0/l9b/V1+8F+q/wGgwG2GhsCJAWNxAldS9YdSs8nfdMnGqmJO504sLW8zIGVexX8J4FNZBYKvVzHY/cAI0GUdfCzOlscwVJyYQMWoLgLhdufEtcYpJ4OEQ5cSiKlLypSJLzZFHAOUfmz9j4YJLXbLViclJD7EPBUULee7I39V5wY06DSUszUwZE92tj4WJAy7JUrAOx6IkFm+T4VcUDV+i9Dk8lgWJeh0MmYUBKRFSoixlWAiCkWcmN3HJVqANJVqhkRglIlqE3GGCnZ6KkRclR/fqs0InmOnVpnxIRAQMKtJJEST4qJcBqlQx0xmNejxxr1eogmeXxSBZCh5h65RXIez1+P/VfGlMagQOx8bXDJBbqktuLMQLSeB61CMhBVyNvNJ+3qhKzDDCBEDur+fRipy3x1fxUp+8vCaQSQe/Tc1RxbCxraDbZ6ydlhgpJscaTSdqLAocajTjvNiZxSuikRnl6IppdlmwFAViEXS40qLMeWmeyO/R6CKMR+q0Wdp5+FqGq2INtLR/hconS+Cg/N5WGDjgnBglgoVoUZKjtuYSiIBKf50wIc/pjRGWNFYOS4WG7pURaBnHWF5oJFJQ5jZIFgG0HKpbKkiPkDLWP7LHFLi9Zm+3rTGu13SYgqOcX2HuYWdIXlChvNtGAMjSbLHazjIlhkzPIQwhwoxH/zlQvzjm47ZZghECzRgN+MKAhnH2XcLmwN1I93Bo5paJVwJm9t7P2BW8Mh9oH3HbLpNOUCs5ku5r5HpM152LfJrKMzu4CaVQUKj6poLC1O2i3sVWfugG2GQgiOVurwYAOjZPyzpGdOZ9jkhblxA8PSaasArIoXjKIdYCzXrSreH7/Po2uqqp0vyaTxJSWZYqDh0OSQwtUGY1ST+nHjwQQxIpqL3c6yfxTgKrinQrSy4VxSAVaq5X6jaU0AVjcyvOiriTQ+aj79Po131/XeziwkD2d+P2+/TbFHCm4NFP67i6BnINBAg80Kk5rTrGw2eR1ScItpYNkuN9/n7xE1DvdanGtXl/zfZVQK87a3uq129hpekijwc9pNhmTdX6IqTYZ9gvAdjRKTP/lkkbD6RnI06EulRWQ2+nwXux2ic2WakzmfFK86PvV94Lindbr+ZxmqWudj0ZpL/74I39mPk9KNLU5aD/J96ResAu0PhzSyEBTJWTLJXOxyQRB4/MA5BbXwnBIQ8yrK7Y/hoDw6hXc58/In5/JvhcFsvUa1W4HN5sRXCtLVLVeYj+fw33zDZxNQAifP/O6JxM6o+/3yI2FrKoKubVZhcuFYOJggPzDB1SNBvvIm032YlcV3OvXlEzv93D//M8Eu1+/jlMvNA3FhcCWojxH93TCrt1G1u9zpKP+TTHucGAcdA754YAwHiPrdmkat93SE0T5gqanvH8P9HrIWy1Umw1l/DozAY7offWK+cDjY/JGWi5j/p3VCBdflhyn9jd/w2cF8JqWSxa5f/d3jCmbDdft7S3VX/0+4/V8zkkzT088RyyH9UXBcZvm1i9QUKNNRcC53S4C3DHXtxw7mFJUJsluu+X3kUpJ5EW/T/C0qlh0qyWusklPlsv78Zjr7HCgp1WrlUYhS2qu2FUnFGy/aVxo/C7HIz+rzoR/+fsAaxv52AhE/rmXnfX96RQba0f7uXFsv9XX7wX6r/ByFoR/sohM4gEgGcB9yaorMQIiwwwg9bDrd+obD4jj3JwQubJMRaptBslugjEcUQpuLL/YuwCwiBe7qQRKPVzqidOmazajQ3BMnNR3nOdM6MQ8tNtksrbbdGh3u6l4KOggD4BJtFhTHdRFQcZNcplgfZW6X4XNkjeW3SnAqCc2hMRqmaTTyaRGgVvJk5jF1Yrf9c2b1AdY72fXwa+iWwmUZHsyktO9s76kmBRW1sOmRFoJuJJJJeKSCapwVQKjfkcuvlTYSzZt6yEmfnU2vt3mz61WaSasyerw4UPqq64HXMnRVQiZGiR+fn22sOSrdem4CmIdVFIciA1VQqsEUc/AElYlL7H30RLv0GrBybVd1wNEAxkcjwmYERBQ7/NVYWNGZTHJU5+7JW8+y6gK0bXWGX0h3s5F6XHsaVW/rF6LBUeh6PlIFuzNrdtUF5mUGo59a8HMyPR64UIuybNJs2O7iopjOxAzA3hCbhMa1CMr9Y318cbZunmeiun9nuy2UHRbi4phbj4nYm9AncxogsWGzPZ1KEsWf+02QQnrjw1lyeLc7newGCZQyp3PNMABCFJIfm3gliZnhGYzAnNuu0Xwnt+71yNTEuhl4RxnqUcTL61RJRzeE2i0exOmU7rp2zoNlrA4UxmEyST2gMbYoP1nLIn63qOJZlnS8E2ssnMEOPp9xtb67xjr7uxZxwkgVrRnlwsTORUL8jQwJh5SCgjYrbdrKGZUnAQieeWLVgU7h7xzyLpdsm+VeSN0uyzcxUALPBwMEvBYn4hRjyH1fd9uk+nVJAypjpxLY8xUwGZZei+pncRcy+9jNCJj/fkzf06xVQCt4q8K/jpQqIJgu2VSr956KXN0tqmYlnxae1oAonMpbs7njLOSjh+PBCbWa37ud98l0ENnkdqiPn5MI9AEOmndTKe8Pp1ppxPfZz7ndT4/Jym7WPs//YmFtVRKAj6nUzKFw2FqRVKs1rrWuWzO47HtS+M2j0f+/NUV99X9fbqXh0NSdtV/X33qAhXrcVgqN4BAwufPaXKK2Pm62sKUQNjtkuxce1lFtc4pjdZ89SoV6vV2qL/8JRVCk0kyP9VLe0h5m3xtpB5brXg9yyUN32BS6d0ORVHgUlUoDLityhLhzRs0bMxr2enAffhAkLbdRtVooPj4kdLk8ZjTKIy8QAjIhkOU332HbDBAeHxEuL/nGDLn4CYTMvQnGlRmlwuqomC8tlgbXr2icvHxEW44pLu593BPT5Ti39wAqxXy7Rbhxx8R3r5loegc81d7xi7LCFhLCTiZMC+ze+1bLUrhTUXpOh22R57PNAQNNAH2pmTIdjv4LEO4uWEBvFrBzWY83wFgNqP0vtfjFA/n4N+8AfZ7MuSaILRaIfR6aCyXHFEXAs/t0wnhq68IzhqhkO338IcDR5CORnDffx9VKe72FtVsxrOgZzPR222ON8tzEkKjEfOV0ymOa9M5pva1kOcJmC9LzmSfTNKkphAS43650NxPMW6zoarNwOygvnzlPkamBXtfdzpR8m9GcPCeknYgkVxGTvxkfJpqE+e43rX/zzbSs15sC0jX/tXrcknGeb8gaYdyIgP6nHPRwf+3ZgT3116/F+i/witK3K2H5melGPo3Lf4vWfUae/6CVReCVLKPPW4gFaBicVzqU8flEhntOF/dudSjqkT1fE4mD61WNPfQ6J3oBCtpvRhcFVnqwZUs3JDD2NdmkqPMGJFgzsXZ8zOTglbrxSi00OmQWToeo0kXms2kHrCiIJOcs0rzgn2rlQzpmnR7F8MUiy0gHvah02EwFPuog1wJxn7PA1mS9nfvUlK4XicmWoeTEoB+Px1KSk5lVCLJn8n4Z4MBFjI60vMW6ybpnmTxziX5ud5HCZYKXQEr9aJdrHqeJ6daJZb6PRX/mue62aTZw5K4S1a52yVZvJ6RJKFKBLvdNM5ObKeYE0k1VUzZGo9zc/V9ZGIkMz6Tw0UzIBURGl13OrFgqKsdxGzUCxJj40Kek+EG0vNXsQ1KqrDfR4OweK/EDqpQGI1SIW6JZvA24lDu4joAbV8K2Q7DIUd8FcXLUUIGXnmTM2fAC7f1WavF8XwhJNDH4kiwQiMWtP1+7Ad84VswmbAlRrJJgMWZ3dNwuSTJnRyos4yzcMdjMgvGPosN8s1mnFXuLhfGrVYrSt8yqUeqiqy4MU5KLrz1vrvLJRWU3rP4l0omBN6Xto2O0V7d7fgzVqB6JeqS2l0usQ9WJjNKVuAcY47FNj+Z0JlYrNCR81mx3VIV0O+z4Jfbv9QPSvxMsaNRO9GD43hkEij1Rp4TYKqx30H73wq+zApZzcSNRa3ujxhGqZAE6DoXZ93G1qmiwPzqCg8qWq0YzEx+6Q2YyrROLGbKkEfzeEOWwXW7NMJTASqPDLWOaI+IwXWO+0FAmqTIpvyIyadk2RqJVgc5NQJTMUsxIsuSX4EAtKLgfpxMWIzd3yf2WXu+PlVD+1sAsiTwKpilNFLsFNiifatzT2oF7UkVuNp34zEL2hDSGMvlMjG7f/hDKsxV6EsJIfM5tTCpqBQAcLkkEFznkUbSHQ4pwZYZ6H/4D8kIFUigaKfDKRuzWTSLnbVaWIhFVoyWMmK/57346it+rs5HFeBZlgzU9J9AHK0JtbEINNUa0bmi1oaq4v3bbvlMQ0gAic4SATICywXMqr1EBUS3m1RlZcn3dS4BNIMB18/Hj7yvUp49P6fzXEx9HWQXON3tRpDdLZcsNo3xL6oKVa/H86Xb5dhNU1UI7PLdLrJmE/5yAZ6e0BiNUApMu1xQlSXyTgd+MID/m79BVpYck/j5M2PceIyq1WLcAdWNAUBuqptgeyXMZsju7qISxBcFmtstytMJ/t27SDLh/XsU+z0u33wTXeUVd5ytiazVgjdQww8GmLVaeFqvOTbOlA+V7rEpakJR0BF9t4Mzw7tQk6m7V6/Yf99s0sxzuaSkvNVC7hyqLKMD+miEMJnAbTbMdS1mCewtHh8JhJviKy8KVH//98k4OcsQnp95hr17F6cjuPkcYbNBfj6jurlhsX91xXFqux2fl+Uavt8nkCBvGn1XyxeCxeUYV2zt+FaL54/F7tDvp9nmavdSjndzw2fa7cL3emyFsPMYQPSOEYDsr66Ye2h6h+2XOHrNgIWoggFSDDPQ/UXRfjzy3K2TD39F0u4uF57Zf0We/kLCHgIl7s/Pv0kjuL/2+r1A/xVeP5nZV5e4f8mqqzDXYrSfBf4TrHqdjb+wZ91XFWU2+ncrLmIfuyVzLs/hLVg5JduNBtFY78mGmKQzOMfgAmOxjkceHEoUBAKYBN2ZHDQMh+x/EaNhPbYAaHxXFJTpnE6Uv7fbZNAeH2OPuIop326TRRT7LdZFSJpk7krAgSjpDv0+kUljVeI8apOfSoocDod4qCDPEzKugCDEUOzEYsE/T6dpZqok8GJolRipgNZ4mRASgCGTtmYTs3fvmPQcj2m8G5CUC6bMiJLtPE+y9E+fmFwpsRGj2OkkyakYNFMUvOgPFfsPvJR4mowXV1f8vM+feV3jMRNffWex4kr61L+na1BidT6nUWaSTCqRL4qXLQA1RjkmXDJ2AxJTpvfR538p+RfopfeSzFxrp2kjvC6X2AsdLheumRCiZD72NEpBITBJhYLWynbLFpHn53Qgd7txHjVOHJ8SJhMWxHX2T06mNt5IMu+oJhEzZgUWvMes08FC7I+SUR1+JpGDVCMCSqbTaCADY3OicuBwSGx6re85WNER5nOyLZKI1/earScncMzuUbC/c6a+CAKadE8sCQmDQfTmcCpo5H+Rm19Fp8PkY7tlrBOTmtPQ0pnUL1RVYkNVBJtCCCFQvqhYu16z/09yek3FsD0sFl/uvgAot5QqR+tL/3nPnvwsYxKYZZQu1vuoGw3K1sUs1wtyrX+7BrVIBEnFtX4FataVTmXJa7RnEfsnBaJpP5Ul5oMB56Bba5IUWZkkxZ1OMh7VGtK+KgqeW1IxWZwLjQZ7Ur1nnAcS6ylWVd4VkoVrbrmKK+1VAaLmFwBzaI7f4XCg1PXmhmtDILLYXhVyKrQlAzWGLcrXdU4KDJSSQmqcWntXZP1Xq3QeSC1jKo74HRQP69ekOK6CWmtToya1Ry+XJEOXY73c6ZWc93q8L7e3KX42GgnIfPWK62i5TEowgPFK605n1M0Nf//9e/4nIPhyYfGbZSxav/4as6srLKQgKoqkJjPACkB6Vl9/nYCXz5/5b3X5u/rgdS7IgV5gq0adSTKuQl3PS34ukqn/+GNiv3W+CZCQMko+L3XwQ+e9zkadxdNpOrdtvcVi/uPH9DPWPvPi/BHIKmC7KIDNBvluR0m5teRUgwELvlevuBcFLC0WlF8PhyiN+XUAMBjAm/9FqCoUwTyKvv0W1atXBHju7xGenmisZm1Gbr2Gs88sAbhWi1Jo678P3S6yz5/JqJ458lezv/3r18i3W1TNJvJ/9+/oHH99TXLHHMqzywX5+YzzcIgGgOp4RN5uE3w4nzHt9bDwHrn3VKKVJdVLrRbcZkMX+2YzFsB+NGJ8ORyoXGo0kL9/z7Fm5zPcZsN7JgBSRMTNDfNRzUW3HCdrmFGyxo9JUj+ZUC2itkTzfnHjMSqbi4485899+pTG9IYAvHkD3+shN+d9VFWcW+4OBzLa9nwyK2Zd7RxyAjWPx8SSG5se2m16MV0uzNVrBATabQI5hwNB5Dyn8qDXi22poapYFB+PBKn7fb7P5ULQo9nk5+t8B+JUplhn/BJrbud0ENhlr5/tDxcxqFy9XgPVX19K2K3Qv3rz5qdz0P8FvH4v0H+F13Q6xdPT08//4y+x6kKcgBeo1QtWHYgMh9dB8sXPOWOgQqPBjWMoZfxMLfo6O99o0LhCSWG7zWAvsMASMm8ouQNZwUwshdhIM/jxzSaTUzOoCYMBwQT169WMjSKbZMVPsMTJLRapzzbjuAjoMLHvHJkWSXmLgmCCSUkBFlquqtJ1KWFTf3G9AC8KAgByoK0nMEpUJAsWg62eLjmdaw6rkkkx8EomASamks15H11ex3mO59OJh70QzLoEUv3KNblsZBdkAvThA69J4EG9r1VSqWYzFdVKGmR6pEJXPVkKlPocY1lxOjERynP26FcVkwL9vsCbsuS9UHKrNalDScyUWG4llv0+76VACiXsx2NkunyeUx4nFFosoCkS4rxjfe96kS9pdP3zVSiqeNI91xqw8VVuNOK9FcOmOcQCXWCKDCXiJt32YqoGA+6PxYJrxApyN51GxiLzPrkHS6WiNStZvwEs46srPFsiGLIMrtlMSZeKiH6fSpJWi0l2WfJgLorkkaB+8rPNdG+1+POjUeoRVHGa53RcVwJ6PLLvUIxRp8N9+P59HKvo2224ZjP2nqHVojeGno2nSVksyEBA0tk6l0omqEgUE28qDW8gh2KdK8vYhxil4CafVDsA8pzJkiTPpqhwmY17OZ0SENpuJ0d7JWemUMB+H9U7ccSZjfOLjvv2vZyKPKmfrNh0WstiVyRlBxIToYL+cEg+IrpeFfdA2tcqogTOqaAKAa4oMLm6wtPz8wvlFQCCpyEwfqodqNuldP9y4do606neZVlkg+Q8HyxWhd2O51VR0KDPDAP9ep0UFK9escguSxoeSaas81HAqGKmCvrdLn0nU9WEb79lLFAbTqORQEGt1TxPCbbm26/XaXKBPldrQmeMQLQsS8W+gKzV6mVxJjm23k9MusZ6qXVLz0XATa/H+2GFXCxI//Qnfs5gwEIaSB4gUgKs11QbmBwYUuLo38fj5A4vP5Bmk39flqlNajikQmyxIFMpME3s/unEmKOWr2YzJdwCQy6XxJbv9/y9m5vUIqaWGknpVdzudox753MybNtukyJJgJSevf4sQEXqjfE4KS+kQBOwIgOyRiMpGvQe2j+S79eVHq0W37cmH44eKz/+mNaoABHFaSkmbG24zYZgm6mA1J4S5nOSI1o7yyVjRc42weL5mecEAOx2BA0Bxq92G+EPf2Dsv71FboaL1XiM3CTwDoiFmw8BmQCYsoyfXa3XyDqcrFEdDgRUv/nmJWj94QMBI4u5hYHK1XaLPAQWi9stC2bbC+58RtZqoT8YYL1cJoJIZoBVBf/mDWPCbkfl5GCAfLeDbzTgX71ir7lzPCdXK8abmxt+H4GieY5gkndNegk6X7pdkkCHA7yBf67dRvjmG64tgTZSkcjI8/Y2qaNWK2A6pbv6aITw5g3z6eWSigDn6Nqudie7lwGUjwdbD66qCPgagOzKEtVoRDBGwKTJ4YOx3c6AYlwu7PU3ZZ5/9YosttZ5nvPMEgFXVfDzOeP6bsdz0MBEd+LoNgFKP3FJt1bdn7DmypXqrPmXxbVe/z9I2oGXhf5fral+w6//Kgt059z/BcD/HcB/A+D/GEL41/85v/dbKdABJJnXL0kyfq4gB14y4zXW7yeselVFIykvVr3O1JfJaCo0m9wcIaRETAX/+cyg4Oi47oKZNyiRabcZzJ3jrM46q+44ux3bbZI21qXTnQ6LYjm4Tybw3jNB1iGpDavvZUlV6PUIAsjVHODPtjlbGg0aF0WXaYELKg7Vi3q5JJM4yYfMNTpKfsAkP5zPTO7sOzpLNjS2Lh7m+jzJGHc7BnHNmFUiOZslR3IVWioyrUCJM8iVFGr+qpgesaJKLjWjXDI9sTv67pI7nk7Af/yP/FyNIFICqO8iuadk93W2WomF+i2VNCtpUWI1HKbevKsrHioyCpLsSZ+nhFzMs9huyS/1/MXsq+d0PE5jhsyjwCmBEpNkDGC8Zkm9AT4HFUK6l8cjNOcVMDk2wOSnrlRQn6Y5vnrwkMPhQLlZVaUZpu0215Tt/dDpsKAbjShxvr9Ps587HYTra/anqbBZLlOCKxmrCnIx93oGAo8A9jw3OJEgsuSSemYZGW+LCbo/wZvLb1GQPa6pR4J979Dt8p6I4Qs2qkuHPxCnMTj5I3z8yGtwbKEJ1hPoDIAJJV1mceac2ljUWgLuLJkNdjg7k8eHsmRyKnCsRWfdcDrxGi9m7mN7Jtg1qz8/qghMYeDVY3e58FoB/q6NtYmGdv1+UhrYmnOg/B+lzbRVEmhJFEqOroxqljxPzrkwhsLZLHUDTZ2BlEFAlSU+QTLf0ymNiJNkXcCkCmTgJaAoQEqxPstinyKqKrr9h7KMY/y8vXdWFGw70JligK6AEW/32W230SVfwKXPczI+xyNjsPVzZudz7I3PrH0lZBnXvfVAh7dveb+en5NKSbFIxV6jkSZsiIEVWCtA4uuvCUQtFqllRwy72nMUfwUc6vcl3dYeVGIqkKyqkiGbGGspGAQeSDotfxCB2Cp0Ff/qxTqQWoZ6PRa0vV7y8fCeIOjdHa/tzZuXo74EPB+PZLyldNJ5UOvTxeGQZP4qfqWy0L3UNXhPgOB4TPdJKrJOhwDt9XVS7kgpIAZaHgBlSfZRxY9AbwHZAkRk+ievFcVvtTY5lxQAZZmM4eQVou8pNYz3L7+rQBMVZAJ3gTRxQ4WCzkNdq84WqbhqSiV0Ovx+z8+pvUHqgPrYtapC8/kZlbWAZc0mLtbn33AOl/MZ+XpN9jTPaeK22XDO926Hpve42DUWZYnqq68QXr9Gtt/DffqEarHgZxvjnD0/M0arVbHTQTUY0KSt04GfzZA/PSFkGUf6FgWK9RplWSL84Q/IFgv4dhv48Uc0DgeORjPAKRwOKEKA22xQdrucm26FqAeQ5TmyPEfV6SADUF4uyCRBHwwYbzsdhOkUWC55fdZe4x4e2B7Y66F4/x7V1RVj9tMTzfXGY/amW84cBgPOHl+tUi4gBUyvB/f5M/05TnRrz4ZD+O++Y7FtAI87HoH5nAWsVD0GbGVVxZau4xH+7VuEyYQFv+Ktubk7G5+mXNRZ3NeZ7WxNBcsjnfkyOYGuBthnkpXXR+E6B//2LZ9Xtws/HrPoFphuIJSIqAiqmvI11gJl+YL9/pL1jqy6SL1a0Z6dz6nm0OtLSby9nDnFe/nw/MLrxecbUP+T3vV/ga//Wgv0/waAB/D/BPB//ZdWoE8mEzx/+sTEx+Tkke3+8lUvyJUI6HX5ok8d+HlW/XCgG6bkxPX3NKllOJ+JShZF7A+MEnixQfs9fzbL4iiNKL9ptWICFkLN3M4OdclfsufnxKyIceh02D+l/j4gjkmKEtR+n303QHKElhymKChJqrMg7TYDfC0ouXqCBnBz93osxMSOq7/G3sPneXK1zPNolqdiJojxE5sqJkQSbRVP6l/8/JnJpnMJpZdZnPp3FXiVjFu/5Wg+x0rJ+WZDub8OiNEojcyR/FFyLPVAqidSyoDplNfwpz8xcRCDq2eu7ylG6cOHxMqr+Nf/6vqVsMgFWSzVfM6//8tfeE3X1/xZGUXVexTV66tiUyy1jJqm05c96nWTpDxPrsZWKMaeSoDfaTKhlFh+CJbYx2kEAJlqSaK1JvKcMr+LOZ9rbR2PwPMzvPcsBiXRUgK3WkWwyZsMNTLgSrhbLcruxmMypZbIu+fneN2h243jeKKDNkAZdD2RHI3iyMMQAibrNVa3tzFJDMMhzXZOJ7KW5zOlfwYKRlWDvV9oNBC++45Jr8UFB7BYMybeW2LsVMxoby+X3B+2Zrwl09nhEKWnod/n97Dn5yyZifJSyd6BpGqAsT29Hp+hnNil7LA+99i7KnDqdGJvZQhMlEo68gIsbJ3FTW9gX7bZ0OXXEpFgUwIiG10HgRzNLoNJKaPxj/acDK5yGu85692PvYaKlaZacOczn00IZHKyLIFytdYCKU1coxFl9gI7XqhdJD0XKFYr3hVnXE4zIpi8dDQYYKn9ZcBspuK11yPwYOeMrjfGiKJgL2G3S3DIWmmCgV3e2gGcAW1hPI6yTzjH1iW187TbZPkeH/mzr1/DTadsPbLZ0AASQ6l9LQZcRbF6oA3ExnRKVn27TeCm2OmnpwQYythS8ViMsgBEGX5JVaSWqsuFbKnYYrHhYo0FbGp0keKM+ryBFGN1b4HUm93rEWxot1Mvt4rxH35I8dLubRznqbXx9JQACpm9SZJvBQ8EHAIJDJU0XNcvV/d//mdgucSo3cbKcg9oBvPNTVRDxLiuWHO58P3fvOHfbTZprJlAaBX0Au7lQXJ3l2LseJwIAKlStGd0/pnaLjL0ej/neC11gEZFtABurQ+Z1tbBr2DUMAABAABJREFUFL2fAIi6dL2e4zWb/C62lqMc/vk59tnnVrBWsxlco8H/b/lEttuh6vUIHj8/pwkL2y1Co4HickGVZSRN/v7vGbMWC7gffogGtN5aRfL9HsGAynA4IMhHYLNhUdyiUVhot+FtWkpuYEDV6aA4HFA2Gmj84z+imkzYlgVEFZQvSxS7HSpzA9e5HuOrYo+BIYN2G5uqYt61WsHd3KRYXRQ8P89nFPs9qtevYzuAv76GX61o9GaO/06kjCkA4D1bPXU2G/OLLIO7veW5fjrRuXw6RXj1isZ5rRbN7zSFJs+53qSQ2GySJL3RAL79luCDCIeiIHisVq8OJ3r4LGNu2aAJXHY+Uzmg+3Q6wQ+HNPe7XPiMBHIp7xCgn2Vsa5hMOO/+zZsYk4PAUgHn1mLpJxMCytrb7TbzcsvBg4FtP5GUn06JNa8pKOP3U3yw1y9K2jcb3hvlnD/30ufXe91/ptCfTCZYLpe//D6/0dd/lQV6vAjn/if8CyzQ5/M5Hu7v2SNjjLZchiUT/9nXzxXf9b+vb4KfY9W9jYsAGcEobzfmS3J1Z9JmbzLCWMzr/Y3xct4zUS2KOG8cISQ2Ps/puBlqPZjq49xsmKQDyWTrciFLomu3wiWaaFnPajDHXyczIAt6MJQxmsOoZ3Y8jj3oLqQxbMFQwsh8tFqxR8gFm1mtAyXP2atl5lKS9YlVl2Fe7JOry+GUlBVF6kOUEZEM3+pO9Uqqa/J2XC6Yjcfs6xM7rSTu9vblOB1JtoTq13sglQhKtRACk6DhkNfzT//En/3221R4KxHR9W+3iYVVIS+5rNh0fbaBILHY7/WYhNzdpYRkNktSayVM3ic2S8Wa3nO/Tw6/7XYq6C2JDUWRZn1LVWEFfPQnUKJblkldkdn4GrHPYoYl+xUbJRVDzrFTEEOsfaspASbfC+02gaX1OvXiqtjvdNjfrv5rub8DKTG1ohwqwOqMUaPBpNSAMYRAZmG5jOqT2Zs3eLT9GAzUk1GfV9/wdssDVsDIH/5Ayb2jg7iKbG8AlEa/IM9ZHB8OZLMlBw6BYxVbLfYxVhWyh4c4t9a3Whyl0+lw7I4OaYElJr0LlvBmeU7ABEhAQFny+lUoBI6sCZMJ97sUO6YycOt1ZIczEAF2ABkKA9ck+QtVxT76wSD27EW2Vs9Hcj67prDfxzgW6sWBAahut4vSP2/ryRn7G8qSDI2UPLW1Ixm2O59Z7Ns9cZb4x953gQEGosYeZ7GEpcnktba8j/2sMdaFkNzdNxvM+308LhaQcZLmoEtxE5pN3iMraEKeJ/NNFZsGRnrzD8gsHvlmk0oEnRnLJQv3Xo/qCTM69GbQ6Uw55EOgSdV+z9jx+jX85ZLMRBXr1J4B8FkUBfett5aVp6cUl/p94G//lj+jdapE+O4uAY39fkrSgRSnVXSrWNMZbecK9nsWZHW3ehk/qV1LiiszpgKQpPLmiRIVEHoGmq6hmevjcTIyExj95z/zd8bjNEdcRampjnB/nxReUjDpTFZB+/DAa202kweMik/dL3Ofn223WEj+XpNkY7vlPXz3jvdRY7HyPEnXTycW8wKiNpvYexsVaoqjOhNCeClZ1wg9nUE6Y2Vqut8nkzmBLHXllsbKqeCWMkLGXDoTBNoICO710r3XGaT1JYWSPkfn+2KR7oGxx/n5zCJ6POYc8KriFAcAmXMoiwK5FBHGtoaiIJtuIK3/7jvmOe/f89kVBTAeIxsM4J+eGMPznC7kjQaVVM/P3IPzefQlykr2Kvtgvd5v3nDslmPLZHF7i/LmhmCp9/Aay3g+x0klwYr8LASy/v0+Y2BVcaRpqwVXVZi+eYPF4yPyskQ1n8eRbWi1aBz39ATfbvNaP34ERiMCEfL1efuWiiypfdptgt7nc1InjUYs5Pt95Lsd3MePdMVvtWJhjnabLUhSg1xfp1xH+03Pz9ou/XwO9+oVc2MDyoJaJw1Y0kQMV5Z8b/kunU4s2EVQhUD220gJZ/32TrF6v08EDIDw+nX0kfFv3tAITlJ1+94oS56B7Tbd4quK97emsnH7PfMWAc+1WuMFa66cT/ny6cQzr167/JKkvaS0Pgjg+KVXXeFlajYZkH75+omv17+Q1+8F+q/wms/neLi7e8l6m2w3wPr7AMqGfk72UWfA64v/l2TxP1fYq1cdiMEmbn57L3gfUbI4rq0ugTepr7N+Hg+QcbTDM85RVrHbaDDISybealFCr94wFXdKPhqNWOBHZG6/T4jfZMJivaLRRZQOt1r8DmZIF8esDIdEQSVnRgo60VnZEucXvezqFcyyhA4KNACYIItlLWiMFFlDsVQ5HZrjqCVJWy8XMh3LZURBX7ChSgTKErMsw+L771NrhAATJTOrFZNAsSF6D7vPseAtisTmPT29lMVfX/N3/vQn/v1kkkx9rJcW3idW0hQR0JqTMkCzyZVwSb2hgjfLknLgxx+TVL1u6qNCYbfjIZnnKaFzjp8tRFUggHrlvWcC0W5Hl+poymdAQigKOBsn8gJYELgxHCKO6ZPRWAhcQ+NxVHFEsGMwYKJkkvZMRYpYNzOKCzYZIZP8FojFdijLuK7iPbO+4iDJtLGEKl7x9AS3WHCPWX9+sB5TFwJN4pbLdNjKZ0Ey3MGARjZqQThzDq96G3G5RBAPJnFUUemqioVlrYXAG0CXLRbRmNDr2b16xRgVAh18tf8FaoRAdt8Qf5nKZVakyOTH2f8PRZFYNiDOkg/esyBWwXy2ET3NJl3w9d20V8syzTy3ojioIAdSom572gGxv1jz0dFuJ8bMORou2XfQJA10u/z+1suO45HryPZ+EGuntaokxZJDxc7ItirWuuTCHt1yJfnVWlIfoQExAYiTK+LUAHk8VHTUnw+HWDw+xvGaGA4JXDw8xDUvU7cwHMbWEm/tCXFEpcAmyd8BJp+nU2w3cqDiKqzXTORbLbYVbDapF9d7Allg61a2WsU5w3jzhm0Xu12at66CU/fMWg5inLxcqB5SfOj1gHfvWADU37ss+Z4qAKfTBHhqv+o5bjZJnq6YKN+E0ykxyvISUaIv4E+qqE4nnWFqWaqq5NehM0NrUZNO3r7lf1IBKP788AO/93CYnOEFIAh0WixetNnE7y7V2WDA91gs+OfhMK15FcRVhdnbt1h0OrzG+/uXoynlv5JlnPs+myUHeIsnUS01GiX5uyZTAAnkEEAidhvg9WkKxWiUzhydG8MhzzTFQZ19lhfF8xPg96mfcQJdpGCx9o2oCpCqReOy6r3mQFKv6H0E/Or52fdxsxlCnqPYbFDmObLtFrnlYiWAXEDd8UhTXctD8qJA+fo1ssmEyskffkC53cL1++w1t3MzdDostvd75OMxyskEeHpi7mTtWqiq6PjtJIOfTlHZfHn3448EDmYzgmoG8oZOB9nTE3ynEwEDVxQoqwr5ZELm3XxCvMmqkedw7TYmZYnnpo3kXK/jxJNwPhMAnUyYX202PJ/Lkvt0PIYbj9kCZGeH7/UIFIRA5lxtgecz99f79wT1TieE6RRuOoV//TqBY8tlUv9pLXjP97AzTybC/g9/4KSPzSYZ2opAURtkWdJroyyZUxvY5IDYpoWSPi2u0UiGsQKPTeWG52f+vP1c9eoVsocHFt6TCVVfvR6f1+XC+7/dMr8fDgmGqv2u3Y4z0PXsALwcn2ZqMI1crdccP5mJrle9uK693PFIsEGqzl94ucslfX71Re/7z7x+L9D///xyzv2/Adz8zD/930II/y/7mf8J/4kC3Tn3PwL4HwHgzZs3/4d/82/+DQBgu92iLEuMrRfodDphvV5jbpvNe4/FYoHxeIyGPfinpye02210DXXabDbw3mM0GgEAjscjttstrswcoqoqPD09YTKZoLCFuFgs0O120bGFvtlsEELA0AL+8XjE4XDAxFwcKwBPqxWm0ylykwkvHh7QG4/RtgNrvd3C9XoY2CzCw+GA/X6P2WwGlCXK8xnL1QrT62vklkQubm/R6/XQto2wWq2QARjYde0vFxxPJ0zHY+BwwOV8xvPhgNmrV3QuDgGPDw8YdLtoWcL3vFqhaLfRt8Nnt93iXJaYGNp63u2wenjA1fV1TMKfPn7EYDxG03qbl09PaHY66A2HgHPYbjYoHY2ssNvhtFxiezhgZkWo9x7L4xHD0QgNALhc8HQ8op3n6Fr/zabRgB+NMLq5AbZbHFcr7HY7zOxZV97j+fERoyxDYfLBRQjo9nroWDG3Wa8RjkcMez3gfMbRe+xOJ8zMkKc6nfD88IBxv4/ckujFaoVev4+2sZlrM20ZWBJ4OB6xPx4xM5asPJ2w2u0wns2QG2q/KEv0Xr1CuyiAT5+w+o//EdnxiMH1NTAc8jk9P2M6GMA1mzjnOda3t5gcjwQuOh0snp/RHwzQGo2A4RDPyyWKzQZ9K4p25zPOhwMmb98CZYnz8zM2nz9j2unEXq2n1QqDpyc0DeRYtttojsfoffwIfP6MrXMoJxOMTUZ4Wq2wXa0ws0Lf73ZY3t5i2Gyi4T0wHuOpLNH2Ht0sAw4HbLZb+MsFo/EYmM1w3O34nOy7Vg8PeH7/HqPBAIW5wi8+fEC30UDHDoDN588IlwuGb94A7TbfY7XCzBQXVb+PZVFg0m4jtwRmsVig12igbQXo2tF8Z2DM66EssT+feR1VhXK3w+pwwNg57snhEIs8R6/V4p7c79N+Mkn3/nLB8XzGtN8HqgoX77EuS0z6fWQGxiw+fEC/0UDLwIDn4xFFVaHvPdBoYHc64dxuY/LqFdDp4Hw+Y3M+Y/rmTTSNWaxWGG63aJqEe3l3h2a/j565OG+rCuXxiLGBG6dmE9vPnzEzAMdvNljmOYbffovG118D797h6fNntLdbdG2dbhYL+BAwMoOeY5Zhl+eYmQFYFQKef/wRo/EYhRWEi+USXe/RMVBp4z3CYIDhf//fA2XJ51RVmBmgUZ3PeHp8xLTfRz6bAd5jsV7zORUFUBRYHzmXfmAFxOFywb4sMfvqK6AoUGYZlvs9pq0W497phMWHD+h1Omjv98B0ilVZIvMeA1Md7LdbHHc7xr3LBZduF6vTCdPZjH3W3S4eFgsMBwO0LKl+fn5GAaBfFMB+z+fkPSa2Bs95jtXjI66MBQre43G9xuirr9C09bD8/BnNRgM9A622xyPKdhvjN2+AosBpt8P67g5zU0P4PMditcJ4NkPD2laebm/Rdg5dKzg3xrqM7Dw67nbYbbc8FwBUjQaeHh4w6XZRWHGyWK14PlnRs/n4EeF8xtB8C44AdptNfA8/HuNpt8NkOkVuBf7i8RG94TDGrPVyCdds8jk1mzg0GtjvdnyPfh/l+YzVDz8wdlrStdhs0JvP0R6Pge0Wq8+fkbVaGNg5uT+fcdxuMbVYe+n3sfr8GdN+H5mx4Ysff+R+Mufy53//71HkOfrffANcX2O32eD8/j0mVlydWy3up06HiXu7jae//AWD6RTNRgP44Qcsl0s0nUOv2wVubrB99w7leo2xFd2n4xHbxQIzA2f8YMD9NJ2i0ekA2y2e1mu0m010Dcjd7HaMe1bUHwHsAMwsma/GYzw/PWHUajGP2G6x+Mtf0C1LdK6ugH6fecR+j6HJUo/HI3beY/b2LbBeo9rv8Xw4YNxoIH94YLwZj9H7V/8K7eMRWC65n5zDYLkE/umfcMgy7CeTeE6WthfGWYbcWPjFZsNcxFi21XqNLM+5n1Yr7P/xH3H0HtOrK2AywaXRwPr5GbN+nwXNdIpFlqGfZWgZGPx8uaCYTtE/nYAPH7ifplPGvXfv+JxWK0zbbUqLyxJPxyMG332HpoG7y+dnNKuKz8k5bE8nlFXFuAfgdDhg+/SEmU2+8N0ulkWB4WCAhjnuPxUF2r0eur0esNlg8/wM325jZH3JxxCwKwrMzCSvWizwvF5jlOconANGIyyen9GtKnQMKN7YdJqh5c/HXo/PyVp6qjzHc5ZhPBggN5XLwnvmagb+r7dbuPUaAwP3D6sVjuczJmZAV1YVNvs9hs4xF/EeT/s9utMp2t99x/f49AnuwwcM2m1gOsW+28VxucTUgLrLbofdZoPhH//IlpXNBst+H91eDy0mt1g/PiLr9dA/HoHZDLvjESWAUb8P/OlPOLfb2IxGmI7HcPf3CEWB5X6P/uWCpvU1r0NA7hx67Tbw7h22qxXC8YgBAOQ5TiFgD2BieRcmEyyfn9HvdNCwVoKn+3u0Gw10bbTaxoq1obVRHb/5BvvjEVNTJVRVhXVRYDAYcD/t91i02+g6h850CuQ5Nv/6XwObDdfxq1c4djrYDYeYGVBVPTzgudfDeD7nPV6vmau1Wmjbc9s8PQFXVxj8q38FnE443N4y7r1+DbTbzCP2e+Z7Rqgs7u/Rm83QNuXfynq/B6aw2LdaOK7XzCMOB1xaLaw3G0wmE7Lrmw0Wj4/oz+domfLx+R//EcW7d+ibf8Uuz3GuKt7TqsL57g6rywVX331HKf5yicftFqPJhOfT4YDlaoXmcIieAUjb04n1kynRTlaHzF+/5rlwueDp9haj6RQNG0X59PSEdquFrrUPbHa7VD+FgOP9PbanE66+/vqX66eHB3SbTZ5PADaLBUKWMe5Z/bTT2VJ7j9lsxnYJq8F6vR7vMYD1es2493P1E4CyLLFcLlmDWfx4fHxEv9+P77FarZBlWXyP/X6P4/GI6XQKliUXPD8/v7iOh4cHDIfDVD89P6MoCvQNoN7tdjifz5jYdzufz1itVri6uoqtwq9fv/6dQf/f+9Xv97GVI6zQoS9l6xeORguOZkrufKb0KM9fzhPU6+ck7fY+Dj/Tv/5zrPrpRETUmVO1pN4lR6rFvj2xt869nK1ek++oB9jBejslQW40yE7rzyYvzQL73YX6Rcm8GGw7WIL1w0eXSJMiRUR+NqN7pt2/iOQZKxrN3Y5HMo39PuVMYr9N1hVZEUnP/Bc96TKEa9XmwUtRUNkYukYjKgde9L6LUZaxlAyDZjPKnNZr9vI9PfHZTCZAt4uuc9irj07zedXLKIZIbLd6HvXzMlISAizGX67IMubpdMhA3N7yZ0cj/r2NZYnmaINBYqbqjrlilCVXlyJAvXwyVpH0UdcrpYF69SV5l5HW8Zhks2L+xcxJbnk+JwmrWBGxyVVFZk3ydrEYtkeCerGKgu8vaakkpZKjGmurPjInya0Ys9OJn5llibmXr4AQ8uORTG+zScR6MqHcULJkMyiL1/b4GPuZNQkBsxkR806HaLtkn5Lzr9dkFixx23c6CN9+i/DqFY1ZVisi3yXndntrZQnWZuIk3TRGyKmlQa04WZbaUg4H9nFbD2Kw5DyTwqJm0OWrCtl4DO/ZRpPZ2Ktge9BrHdvecyYv1T6NcSXLyIqvVvwOti6DGGqTA0bmTP8rFsXY3GjgJu8IPUeT7bnzmVJJrQtJkI3dgPfsabc+wxe+BPouZ5pnokE3+CBvArXDAJEVdZJ8mzIJ3lOyKoWC1DVAlPs6ICoN4mea6gHNJv9N+32zScY8alnx7D0HEKdqvDirrMjJ1ONn8ls3n1PxAFCern2SZYzzJuF3IVBVYXssqovsnAqdDtfx+cw9Wjtf4hljKihvMlpnnyMvFMk9vXPI7u8Zg8bjZGa4WiUG3EYURrbUimL7wox9j49Junx1Bfzt3zJGSEYttlSf1W4zTkvxovNIrHIIafa8WnMkiZa8XM7xYs3LkrH9+ZnvK6fouumZzikD6yPDn2VUBpzPZNP/+Ef+u75Xs8n78ac/8ZoMNI3xp91O40DlBSOZt5y169fw5z/z7/p9YDpFt9/HXuv7fOZ7G1P6wileEyB+/JF7wrwN8PYt77vOf8WRZpP3oaYIif4CamOwuBnvzX7Pe6y8ZDxOahi9j3w8tK9PJ+4NMeca0aa1JnWLzj3FRl3LYMDP0TVIYi/zPSMK4u8C0cQuM7IgZBmK/R7e2qUCQMB4veaebtHYzeXmTD6dcq99/EiVSbPJ8YIm0/aOPhfu4YHs82wGZ344QS7eF5o3egC+5Fi0cHXFtqNeD261QuPpCZfBANlshup0ImvcbjN/PB5RWpuFa7fhdjv2Ud/cxBaGUFXsq3cOVaeDcD5zPnm/zxzH1mdmpqa+26V8fr/nOWFtbj7L2CpxPDJ+mTLOG7OsHC3MZmSMr6/h7u4Qvv+erV7jMdWHoxHf1xRt4XIBZjNOBjLVo9pznHPRA8l/9x39ZGRGWRTRhR1lGdnoEALzW7WEVJwU4p1LE4HUXidPGuVHivPLZZLWt9uUv5uxo7+5oRFcTtPS6H10ONB4czzmmXO58HPN1DgURZK46/z/z2HNLZcN9bMI+GWmu6qQbbf0I/krLPgLSf0vyeN/4RXPqX9hr98l7r/Caz6f4+Hz59jHGZ16rTh+UaiblNoF6/8EgyiAnzol6qWkTRJo4Of71PX+Xxb21mvkAH5mnqeiM89Tv7r14EbTJiCOjFAgik7q3qe+m9OJsizb/E6BtNuNEv9g7x2LYcnZDNTAaMTCSIVJt8ugq4N8OKTpkBI4FWWSlto9iYd+v0+nTPsOPsuYeJ9OcaxRTPQLM7YoyzjPN0qFlCjD5PMqzFWkqpdRny2TmSxL82anUwIk5zMTwh9+ADYbzL75Bgt9f0npVIhmWXK1tQQ5yugEMBhAEl8qVrzn7yp5e/2aCcnhkEztej0mRlXFv1PiomS33U6mSUpaDofUsqBiwEwKo5zzcEhOxxqbpj49JakPD6n/s99/OZ7OuWQsqANAY4Hq89TLMiVDkhyWJY3dej3Ktq0f2ikxtnUTrM8aRcGf8/5lK4ixj1EyrIJc312xVKCGzJj0UpKoRHi9ZiFrzv6h3WbB3OtF19XY723qhLDbMVERyDAeA199BT+bYT4aYfH+fTT6CvZ8gs28lfmNK4rYx+8kMZVRWbcb+/iU4Dv7LsHYSByPyB4feXg7x31n7QfBJ/+HALBn2tZuUD9pZjPDJR1WH6Ct72CGYdG7w/u09urPzmR30Syt2yWQ0mjw+9Y/qxY24zxYky2i1+O90d60Ij/T/TPPiGCy8SAA0+KFs/sU3WbrCYT2Q6ATepD5n/1+lNebHB9A8v8w4Edj4AAwAQUl/t4SPldVCI+PlHdqnamfWN/ZJOCaVx7X5ekEt9ngqt3G4v6enyUTv6pKxeZwyOTeklJnqqboZm37MnS7dNI3o0K33zPhNvkrALYWtdsvJoXITyK2bZkHiG+1WGxYIQMDSTVPPSj5lcR7Ok0S/Lu7ZIJovZhKrp3tXT8YEJC4vU3y904H+Pu/h59MuM4fHqKhKm5vGZfMOwCjUeq9lnxc4I88NLpdxgK1razXLFxNQRLl784xNlvbCYxFj7FSM9uBBL5ago48T5L062vgv/1v+XefPyep/mLBQv3xkYX01VVae81mAgwEUtYA6xfnQFnyfU1ZtRgMEgC7Xqc2n5r0N/b3C9wSYCwgeTIBvvsu+bJodjoQW4aiTHy7TXPu69J9ndGXC7+jPGoEYuustDUYDeME5Gsd617rDFMrgK252I+v81nTT2azFBfyPMmsJZ2X5F7P63JBVpbIn5/pxG1+O5nnFIey2YRrtVCc6YZe3twgazY5svDzZ8aS6RSZ+flk6zVKSaYPB7jRCFm/j2qxYEE3HrPwPJ1oCJfn7Ik2EBpZxjX/l79EbxE5u1fnM7J+H1guYwGaVxVJl92OJnWXC4rtFuXhgMzaHOWtka1WcQY7jkdMr6/xdDzy70XAmLIgcw5+t2N70HQKNxjAn05Aq8X373b5/kXBeKw2P+eAqytk/+v/Cnz6xBh5dcW4dXUFt17DXy5oLJcEF5SPKMbJWDnQrA69Hqq/+Rvmm9stz7lOJ0nFHY0wMwNBXVURTAd4T4zk0Xg3Gb9l2me2/kJR0BhObS+DAVy7jWowILDdbsP3+yx+bUyqcl33/Mx10+8TWNxsUvuTcnyTyf+ksD6fmatrPdd7zUV06UzT64t+9fg6HHgf5CHxc68QXoIDpkb5q8X8F6/fJe7/O76cc/9nAP8PAHMAzwD+PyGE/9N/6vd+UwV6fTGJYcYXRe6XC1QMd5al/u2KJnNBbGb9JRSq/l7VL/SpAz/Pqp/P7Jlx7Bmvzz0PjuN/oM2tpBuIxkVib+qu8dFoSAVYo0HksaR5GxoNJtNATESdFVbqeYnJS5uzh8PpRETRrsWpjy1jr3PodmlaV9rIICUbQDqwG434fjGBV9JqqKn6fp0O4V6PvZDqR7VeUxUH3hJldz6nOfB22MAQQnc6pXm2YiR0iE2nCOczssMBs80Gi//lf0nFqmRhwEtDNu+T0ZF6F219xV5QJZbqHbTZ39humTQpcfjqK/78/T2Tr7Jkopfn/Fn1XDkXmf5opGPPD94nZgGIfWUxKZH5UKvFpGkwSEycydziXGNTPkRgQYizrfeYaOs7KnGtmZ6Ejs3g1gil45HJUpbFvtVgc5czIeK2pmHrWux69Bu4XNKcYwE11nKgcWSwAzma6XmfEjmTr6HZTEmJTNY6Hf7/zSayB8HUAE497KMRHZKt39udTsB2ixAC5sMhHm001Is+a4EqBiTENXo88ucMFFSCFH8P4MEuJt7uq0bwxELyfE4mRmKrjLlyIXBv2POIkyKUXHvPZCYE7q3jEaGqEAaDF+ZyEQixmOScGcgpYbLricCCVA1WdMtZHGXJhK7ucq01DLBvvdUi86/9Zi9ngKKzGCLWAYdDAgBMPq/ECMdj6qcvSwIJ1mcus6iYXB4OUcEUmXIZMBVFjNcaoSeX3ZBlae6tzpUaaBeAxCQaWOjMeVgM+/z6Go9K2tVnGMyxVwDUbkfA9OqKHgnHYzIilIGjqXtCvx/VSt5AuGy7jSMCg/eUn1vRJABUoI6KdlwuPMfsuUQHYd2zyyV5OVQVi1v5LfT7ZAMfHliw1ZlcqZNsL4fpNPWiCyguCuC77+C/+ors4YcPyUDq7o6fBSSF0HCYmGgVoyp41Tc+mSQDufOZsVZrVv4Y6st9emJsv7nh7wiUHQySQqnX43fSiDkB2R8+ELz7m79JyqjViu7p5zPwD//ASRvNJmN/fTSa3kMFtNairlEj7ppNzI5HLP75n/kdZEKq+ypFiuZI6z6YWz/6/QQ26/lNJsAf/sDvtNnw3+RLojGkjUYaGff4yHtcv/46o79c8ntL0SAAXcW5gK/hMBXTAvYtT4hnkMC7mk9JzK1UyJdlAlb0/aWgW695bYMB+51vb8mIDgZwps7yqxWLuskE7nhElefIBwOOps1zZLe3KDcb5AD8bMb4vNlQvu4cmdKyhP/jH+G2W77/bMacyLnI3HoAxYnu4eF8Rt7vI5Qlqvt7usZPJnBFgWq7pU/EYIDm58+4DIcsJvOcAEGvB3zzDbLlEsFmsgt0CoMB81JTULp2G8FxdOOk2cTT/X3064j5nKf3RHY+ozSJdOYcAb6yjGPEXJaxcDbVXBgOqUT4t/+WBmnjMapXr6JBoXt85Hus11QKaDyeTReK69xUneHrr3nfjDUPAGOe8mUB9crtQoi5ujtzjKQzHyAHxLFsOBxobNdsJsZ6vaaPSZ7TWd4Ud+75mX+2z/GmeNK54o5H+MmE7+Mcz1HLQYJiiSlxXzisGzEX7Bz/kjUPlqu/KMLDL5i3hcB7KsDyl151cODLQv2/4PV7gf4beP1WCvR2u42jipUvX2K0lcw3Gj+VeZj8xAHRaR2HA52Jnfv5DfElqx5+wWiufg31f6sz+bYZdZ0hpxGcNlewQ8gB0UQDzoyS9Pcq5q3PVEEj2GEakTrrfQtVlYzYYOYUQsd17dMpjepOpyiBj3JTubQOhwygKiQMyXQm/4zsqskPfbNJszgl63YAxRnvJhFGCESCTRKlIvjFOIqMPc9Rvm8JO6oq3sMXknQxN60W/GyGdquFsxKXH39kgiHpr1ofJEtU4qJxbMZkvkAoxagpoRAwY6gqnp74u/0+JYedDhOJH3+MxSSsLw7PzykZHw75n65f30cGc0qsBChIcnh3x0R4u2XCWAedhP6arCu638t8SUnQbkdWSOvDWLmsLKNrb7hckmT7eCRbPZ3yd3u9mBDE+1NL7oTOy0xLgBM6HbIMwyGL6apKoFFdgXE+J2DjfE5u02LTTMbsLYmR7E7SO0nTXFHw+/R6dPu9XNJUBDt0ZebW6nRwtD4wZ+YwAUDYblkc2d7zJuPOZNLT7bLQtKLUV1VsZ8hMdumssHRmmBQaDapsbF/rz1J7hE6HTt/eM6lSYS5ptnPA0xPvm3k5+OGQxaE3E7kaKxmMFdfYu+hennHud5w0YexrLB7P5wj0BKks9JwsQXGNBry1Fumz4VwyuZS8WyCUqXSCJMRy6JVsUi+BBCr2ioL3TLHWmNEXaiQrojMr0oMx79BkAOeYhBVFNFOLxZP2tgAvSSBtHWvsDpw5pqv9ot1Gu9vFSUZFFjec7cdQlnxOdda82+WYo26XKqwQuL9UrJsM2g+HVCJkGaWPBsjE5xpoFhiKgrHRCnIfAnv8vmhJCllGl2jFGyuwIoCm+K31buBFmEwI1Gg+9WiUWkxaLQQzV8J0yr3+/fep4A0BeP0a4Y9/pIz148fEjKuoV7EsQFJFqjF/Mb4puVTs1FSDu7uXUwMEukoqvVqxAJ7PU/zViNKyTIw7kIrrsmQR3mqRnf7bv2Wcv7vje/X7nObx7/89v+N8znisc0Ugo8xXtQcuF96/3Q7NPMdZcfPjx9TSdXWVmG21iUn+rkJYQKeM2pbLBMQNh7yWb75JbuxSScisToqERiOdJ1LlAGkEo0BVFfNSl0i6b4xoBM69T3PLbX1EZ3gx/BnbTiR5tsXMv9faGw5fjuWTY76+f6PBGGztLY3VimCm+QVVRUGGvNslYPjjj1zD3S7869fMI5ZLFvYGgLnBAOWrV8DdHWO6jS/LAPjVigZ0Znjpmk0qXXo9ZA8PZGg7HbZVWVuRb7fRAFCtVsBwiHy/x6XZJJP93XdwoxHc7S388UiQG0CWZSj7fbjtNk73CN4js/ngYbdDMwRcyjKOG80AeGuxccMh228unA3uLhcE7xk/Wi0Ck2bU6QASCR8+AP/xP/K8ef0a/vqavjtVReM7y93cu3cpt7tcklmaXRcaNmrUuai0ktFsHL1reW/Ic547Mr/b7QjGWk7vLC77Xo+suXJYAcrOMR6YEjSSQIGGtdV4nFzTrZ3M1dZcqI3tzayAl+ladjjwWUqxq8/7JdZc+Q3w0yL8lyTtZUlQQPvxl1511v2X3us/8/VXa6rf8Ov3Av1XeLVaLZyE7v+1lza0kpafk7QfzY09y2KPpjudkjz9Z/pBfsKgX36hTx34T7PqKmbKMrHoteQZYjsASuSLIjI3kd2vySZjL62YUCVjJssMxhhlFUchAZSmxqTBiqpgLIUTy2PXHeeZD4cxqKo4VkIP692NvXq9XhwJof4bJVZB8khQvqTEKwwGBAmsvzwoCdd7VhxVp94+b4cRyjL1Q4n9HQ6B/R6NTgenfp+H0+HAA3+xSPPQlZzIoEcBS71ukg8KvZek3uRTkYUwQCX2SV4uTALKkqzNfM73kUOvEHNjS+O8WiWH6sutF6oCVySFNZYYsxnf98MHHlL9fnLpFiOiIqwudW+3o1Ou5jhrrjaECkvqqOJM8nHbV8HYWwekcU0GKqnn0J9O7K0eDtnnbMl0sAMugkFA6hm+vX0pt59O4WczZErM1AOZ52kU0fHIsToqlNUKMRjwcG+3ozRaDEIEzeznhNY3iwJnyTXPZ64t77lHul0WNkXqn9OIw7DfM4FSAd1qJaWO+uFVkJosM4IqBsgFS8YdwM8SSGefFTYbgganE4v3gqPN1AYSLB45JdUGTkgRE+w/wYsapxfVEOdzVN+g0aAfgQAqPV9736womLBZgRdq3xshJE8BK3yCAAUpKsQwr9cvFFH1WBrZvLonhNYF8EJlECXjup8mj3b2nbxG6KgdxOK3c/QIiAmfqX2cralsv4/fTWPS0Gjw2QoctXjYardxPh75XY9HArHGCrkGne4DwGd/PqfpAFmG8PZt7KvU2KNMAJ36vyeTWMCEToexvd6DrWssChYpAlMFwFwu/P8CfA34cerdV7Js7UVOgJmKdmtXQKvFouCHH7j3lfzWFAtqx/GdDotxOYWHQJDx7/8evttFdnvLfSz29YcfUmEt4Eb9ydZCEmd1K54OBklNpFgnV2mtUY3MvLvj743HjM0q9uR+rthjcuYo3d7vGWOPR/7e//A/MPZ8+sTPvblhcf3v/h3PmeGQhbEcz9Wmtdu9bKU6n9Fot3ER2CS58PMzf1YtAGawidWK31HO9d4nZZVivn7udErveXOT5O9qD1DBK9WYAaa4v0//bsZOUTUlMuTjxwjSRiWYpp0IkFFOdbnw/RS/peoCUsEl5VhRJLf3Xo/XKtWD3N9DSK1qNrISqxXy8xnlfA6UJYrDAVm3i8t4zD1xOMB9/kwmezolu75esxi9XOB3OxZor18ja7UQPn1CuL5m7DRlTuN4RCVCyICwMBqharW4jtdruKsrVPM53HJJ8mE6RXh6YiuiWvFMTVn9q3/F+2oAeNZoUJIu4PtwIEtszz7kOdz5TBAgy1CMRriYAslZjhQuF3ibya6XU04pgF5noICV0Qj5v/23CJ8+sUC9uSH7Pxiw4N7t6PiudZ7nERyJY70AuM0G/voa4eYmgl5OuZbFWxW5WVnG6RXeJjZk8hfSGEKdg/beACKQHTodns3LJePddEqQRec/QAXS4UDJeA0Yd9stWXMDDbLNhiCL/E5C4PWZAWIsjP8Kax7JFeWFtdfPzjYHgP0+ggK/+BLrrlzzl+Tx/wWv/+ya6jf2+r1A/xVe8/kcD7e3P98//tdeh0Pqz5akTi8lc0Ds2YyFNH6muK8z6LXej5/tUwd+mVU3qaU3VikTi15w1IWzfqTISugzyjImeAqGwQ54Z9JlJyMWY/RicQ+kHnYBDoZsRumgT4YzkvzKdAlZxiRMRagl9KHZTLJ8C1zRAA2IsjZvUqrI5GUZfKPBg9IOY82vFJoZJf06ZNQrVRQ8kMV+SGKLmspguQSqCrNvv8Xj7S2Tcytm44iq9Tr1dO/3iTFQ8i/GRuY/KozFiNTlm5K7KzgXRRpL8/CQmKZvvuH7Pz2lcW1i/sW2KxGR3FPMtBJjSTD17MRKmJM5/uEfWKwfj9HQJf6uihD1aHnPz7cRcDJzUXIV11CzSbmYSRqjekJgSZZxfJOtpZBlNEGbTlO/oPUDxrFUIXCdns9MaupzlF+9YvKpHnj7nqEoEPZ7ymTFnohps33kBEwZ6p+dTtwDpvIIjsY/dSm32++T4VsIuMoyLB4fuRdsdJLTvdCeW68pifc0NQytFtdmv0+g73DgSBr7Xl4qHOsZjmO+ioL3wAo49dLFxPvxkTHM1kHo9+HMHE0sQyiKBCY0Gkzs5AGQZYwv3nM2ellGCX6oeSBIXh+UNIv9tgI4GlrWWk+i5NvueXY+cz8fDmTNKzrpR4WNTKoE/ACxWHenE4taIK1//btYNv2b9pn11juQQdY9giXa6HQoR1Us1f41oCEqBawNQjEnGMMi1ZDvdlnUSylhygy13ESG/XTCfDLBQ62NAc0m16Ck6FnG6zFQIDOmP47KqirOKbdiMbtcEhBqyhCEwDYkU33Es0oqjLpiSfte51WWcQa6cwTJ2m14b8Z9UiUB0bRRjFeU1XufCl6x7q9fIywWnLWu4rl2fqlQD90u3GLBmChvk34f+Ppr+PmcMeTzZ8bcoiBQpyLR7n8s2O2ZRRPC1Yqxs90mQKl4rqI6yxgv9F55nsztWq2XRmjmIxML9SwjuygWe7tNo89GI+C/++/4Hj/+yN/95hu+7z/8A83gGg2y2Dc3XMO69lrb16zZxOJwSAWszl7tNzHM/T6/lzGjEbjRPT8ek8EbwJ/TGa8YrT71dpvXobniKth0rtrEAHz6lJQBKu61D7MM+P77BCTIR6Df58/rs5V/Sdqu0XoCQaTYEYAn00C1bkk98fTE+2FjMdHtArsd8ocHxnsbl+aLgnLz0QjV5cIibrvlPZrPebaZZ4kLAfnzM86dDtw33yAsl8iPR1Rv3iC/XBjTrH0gu1yQe49Ls8mRaP0+Y+rDA+PQZMLzcrGgUd1ohPz2loWo9yzGLhf4r79GdnXF2eT7PULBFha33XL01+nE2NluExA2ACRst6n9azTCZDrF03bLnvvjERWAcHWF3HsWnCooTXkRLG5G9cNsxvv+P//PUcaPV68Qrq6Ysy2X8IcD78fXX3PtrNd8D1NNBWO9UVXwf/hDKoStnSG2TolRLst49skfI7PpTaHiHHm1bfnBgEq3/T4RX+027/GnT1y/4zHBf4CgucAdu+d+OEyg63bLzzSjWeUIfjiMAKc7n+M1v2DNLzRSliL2BWteU8f+nGfVT1S3gWNj/X+ppL1eqP9veP0ucf8NvH5TBfrd3U/7w/9zX0pA68lmvVi3Qv6F47v+TkVpfUN8yZL/HMtef/0Cqx6ZDZPPqOhFVSWmQ8yRinVJQ634jrJOSzSdMQDRcErfqSgog8wyyqMAJv5VFfvFY6+6JWUqfuUiHOWyMkETi2nBKjJzYnRUBOp7DwacN3k+U8J5SbMp1V8VFgv+G0CXa0vC1Tsa+43abTrPq8+60WBSaay7AzgH/dOn1ANnsn3/6hWD7X7PpE39zKtVSvhMzh+LY/V/y5hGyUmd/ZbsWgy4EgihzUqEbm6YYKzXTB7rs0BliKNkqp4YiWXQWtScW6kXGo1kWHc8kskRUzSdpgJJh5GYIUumgxWQIc9ZRIjBUmGgRMtZj58VWx5ANhrxOkejNHfcJJVuvX7RnxyqKoE/zpGJs9mwmcnH5JngbZ84ASm6p7Z3onO8GPDKDMOcY1+hqQRcUTDBydn7mVk8CCo69/sIPM2+/RYP1ssmqblbraJ81/d6cGaIllkB5Hc7ZAJdqio5bVsCk4mBBttsnAFu3mbAO+31h4cI+mXek/EwhhPeMzkoCl7vhS656HRSr7zOISW6AtjynECA94wvx2MybrP9qUK3brSW2b1RwhJyzt9FlsVCEKdTbKkJUiToOgW0WSGNnA70kBTamOf4O4oVNXl4sLUA4IWJJiz2ufOZsaDZjPHaSbHjHFnoPCd7LWDA1DZSM6lwd95H53gpSmROFM8fxTj77s7ud2g2Mb+6woMl6/Hz7QyIsn6xp0pCDfxxYjttDWE6hR+NCKgoxpikNJqISe3TTKZ+OBxiz6pT3JAXgp0lzjky9M7BHw7IOh0W6rqnBrrGOJjnbF+qG1mK7RLgNhwSdDDjsyhnllxZzGCvx/V3e5uk5a0W4+Lr14yFd3cJuFyvydZK7qyJHAD/Xe1D/X5yIM/z6GkRPTo0i1xmYwJB1VsvmbiAWhWVYtgvF4KHKhw3m1SsOwf83d+lPvWypGP2+Ux5/J/+FMdi4auv0nliwPSs2cTidOLfCzgT2LvZJGBEhpoy9JKbuhVMcjaPIICmdFgLWlTymNQaV1e877tdkqMrbgpUk9/A99/zGsbjxHLX1QAfPxIcl2ReheB4zGegli2dj2LVFTNevUrS92YzrbFaXhIVOurBN8M1J5DcQOPQ7aLodNhmdHsbVWP+6gq5KVyCKUSy/R6Yz1FOp8h+/JEqFlMNuPMZviyRlyUd2B29Q4Jk8w8PcOs1KlOuZbYmwmSC/Hz+/7L3pj2SHFe24DFzj33NjMyshUVSVEvq6X6YwcPDA+b/f5svAwzwMINuQRIpkrXmHpmxu5vNh3vPNYuoyKVKVJdYKgMIkpkZHr6Ym91zz7nnwp+fo+p0UNQ1Kk2m+t//XpScl5eIai7n12KaGUYj+NVKEmlAuteagDU/loMDxKLApN/HxZs3ksxrNmVvotIxRjE7084sxWaDmkkx9XrwP/wA/PGPsmc+eyZGcFq+5m9vEemn8fvfC6A+O5P1QUuvSIjEw0PEFy/Svs5SmpwYAGRvVG+moDXdbrmUn1H1pYnT0Omg0O4z9BIhI443b2SODIey7tH7ZT6XY8Uo4LfXM/8Pd3MjiU96xNDzhJJ23e8Ck1RcA6BlV4Ds53tYc0cSMB+M33Z/rnFroArojrHFut91rI8cXwD6r2D8WgD6YDDADZ0/cyZ7Nyv10GA2K4TkpJ6z31UlCyWQpKkxc2jPAfy+cwHuP7cHWPVICSeUwQeSmU9urMHvzRh9C0h5HpuNBPBsceJckjQxSFOwTqOWLZBOOaqyWZHMmMqLXF1LIMQNdzQyAxAG+Y6MAJk+JiIaDWHqul1hROks3O/LfdYA0qnDtYFfSssocaPMmOwRXWJ1Q+gdHuJWTaDM7VfrN+G9yMC6XZGUcsPP2eG8ro41vnz+NNTj4rlcStAAJAd37YlpP6Pcl9L54VBq1asq1f7RMI7nSbBOWTqNjLjxUd6oCR1zwu12JdhttyWw+s//lO8hiA7B2hSFuhYQoYFvqKXNx5acmKw16yCPj+Ufygedk+COTBYZHJVORp3nbI+FwUA2dUDMdMg6MmDPgZPKty0DD6TjAJIwUMMj55y1SKH0mEwrrxVlKdfnnLUx5NxzVYVeu43bd+9kvitIiU+fCpOuEri4WiG+ewd3cyPzS8G2Oziw5FhYrcQsTRlsczlfLuEomzw/l991OmZWAzIKvH9UbHg19Ol05P3hfeea0mymdlpkKlSWHMmcM+nQ6cjxCci5JlSVte6KzaYcp9ORAGS9tlIZc+UPIRmp6f/bnIlaF61JF79YWP26JU8YvHlpQxeZnAHS/FaQZEnQ9RqWXvVenl+nk9h0nW+WrKDMmdJ6/R2/z1Hiy7p8fj+/c7mU+1oUkkgkowckmbwqavrDIW4IlnSNZ9LI8z2NMSkCer1UMqSA1BJGBOqDgdR+t6UloAcQ8/Imqkc0MRa0DMUpuIm8Vn3uZOAi9z0qljiPi8IMpay0iqUc3gtQr2sribAEKUszIMZbnq0mnZP1sChSXb0CHKg0GZeX1vYQh4fA8+dSP396Kn+fu79TOaOJVgJ/k5jSNZzAWdcGHBxsG2VeXcn30piOreWonqJrOd3X9Z0yYMjuF1y7WP/+1VcCzrUWGCcn8vfffy+s+vW1XP833xg47lUVZqzVDmHbF4TsNjtlZM/dfFJoEsb1gNL1upbjZWoeS5rc3Mi1UDr+9dfy8PK/zUqhTGZ/diZ/Qw+QqpI1nyoHllyRIeceOBrJvaAKhOsP55DWLpt0nyZ4fMYkWfgOqvIL8zka8zkCgLoo4Ecj6YCw2cBfX4vJ7HiMMB4Dy6UA9M0G9XSK0nvgm29Qr9fSm/z5c1EaKSh2gPxbk5SulJrl4Bz827eyV/b7ktS7uZH3YjiU9oyrlSQM9f1zR0cIz58jXl+juLy0Vop+NhOlSrcrjG6McIMB6qMj4PZWlCVearvj8XFax5dLdJ3D8voaQVufod+Xd11bruHkRNQrV1eyPtDXodUC/u//G/7NG9QHB8Dz53CTicSIl5ey981miE+eIH71FYrpFHGxkHiLselyibheIz5/Lt9LIK0dMqCS8aDJR+fUZT5GSUqoKiECyZhN98LoHNzFBWKjITG5lou5N29k/vT7UhsPjcuLAsVyaU76dEF367XEmFWFMJlYaaafz0W+riVK7LQUO51t4zVlzVka9l4MrsqjXaB9p6R9NpPvYSnOvqHHJka481h/w9jCVJ/R+ALQP8Hw3ic34HzcJzG/bxCoA6meG0gMd4zJRC6vS1cAD6jZXP5S7rLk99Wp7/t7IJlX6CbrvJeNQjPkvhZDjUhZNK9FGfBINl7/bex+zkBqcBQ7HZE3KlCHk5ooc0pmsEM5PM9VAyH2UQ6AgB229uImQDmwc6knNZDAJzOtjYb0naRMGpDFu9GQDHJRCEtOMzjKD3XBZGIiKOMVl8tkxEQJOg1mCHbJnhDkqxTOaVDn+DcMGoAU2LOGm0HOYmGOymg0JFBhsNntSlCihmOIMTmhUypIuSCdeymJv71N5kBk7Bncki1iZp1MB5ktqheAZDREBuM//1Mki+NxqndnMMigbLVKSQqVKMdnz8R0hxl9JjKur1Nig4ybmvF4nZ+s4Y9PnwpQIUvCYJiysLoWJrAo5D2jcoTPnVKwTkc2bCbMGACGYECJ7W6iJnE8z1EBahgM5G84l+k/wGt4+lQ2ezLRNzfAmzcStOg7Ba1j5PdGBtfdrjnSul5PAC0lc9fXiUUFBKi2WuI+29Qe3GomFYtCavJaLQHugDD2GzH7QasloIiKgZyl1etgS66oXgGRwbb3lky09ketlrzrg4GcB8uAuFaGsC15p4qEvyPw5/fP5wJKFdSZ4obAnLX0OeuvaxHUKwDOCSguS1FXbDYWzHJtY00npfz2ruaJBy1bodu6b7clGNVkn9XHT6fWItPk8F79GfS+RZ0PTgMzejFATdcCGWX9vYtR5mVZipyTiTiuh5uNlUZ4lgWocaKfzVJJioLa2O/LcwLMhThWWacPLSkJaq7l1mu5z0Ba13VeOlVTWbKR7wPVGzFa8jhPIrNXu3Nq8sl1UNd8U8GMx3Lu7DE+GKT+1qw3ZlstJkmvrmSuHB7KGlWWqSsFa6Vvb0UOv9mIfNz7pELi3si9nMk4IAFrJkupDnr9OrV05NrEftV0IGfHEK5rVDWwRpvJcLrGDwYCwpkUGAySEdePP0ryYr2W6//uu7R200AQSKU+ZNGbzaS44jlwP+O9JwAjUOeeSVadxypLuV4mK8jgP3mS5O+5QSuVNYNB6uZxdpbqzGOU/6f3Bw3v1uvkhcLkx9dfp+Q2pf40qtUOGta+jus7E3acN3xnVys06trqkOubG0kmasmNOzlJSin1u/DTKerhEPjmG7iffkIRAqoXL2wfdVqWgtVKZO66l7jhEPH2FoX6G4QnT+RdOz+XFl2dDso3b4Sp7nQkIVCWIg9vNhHPzuR91HKZeHsLjMfJT6euBfB2uyjfvkWlqsUGgM3Rkc3pYjZDrCqJkQaDVKNeVeIG7hzwzTeSSJ1ORRUwHss7fXWF4v/5f2SNOz5GfPIEODkRqTfbuXoP/P73klBm4mkwkDXPe6lJ9x5Ru9ZYDDmdyncwbmWivd2Wc9VyG8/4hl1V9DmHfl8UDXkSZzCQteunn2T91WSlAyTW2Gzk3JtNSSRrWYfTJAN6PXF/r2tLMpvsXfeQqHN7y3hNFR9Oy+tsDaEijGrOHGj/rZL2nCnP5e2/8LgTU/3KxxeA/gnGg3KMhyTmd437GHAeS+vSA5BcTQEzm4tAqmEH3mfJ6/r+JMI+Vp2gOmOqyBLR1A7A+3XyORsPWLBix2XAzYULsEw0zdjoduxilIUPEAZJWTlrG8fvVrYoaADn2KeVMixm4FmnRAaAwXyrJRJ6LuKDgSysmgCg8V1QVtQz689gXuXr1lrOiztxjBHHBwc4Zz02s7edDuJsJt/J1iCUc/Z6IiltNESCe36eAiGCYwZBZM0pk6RTMWWnm01qyUPGmUCdqgPWVG42cnyyEjQuolkavxNINZ1ksrV0wIIWSguB1Ed6s0k1mcOhnN/PPwubE0IynmIw1u8jPn8ORwfhGAUIrlYSPPF58R3R2loAyaRQFRJB3WMdGSYykZTRE+jpu4L5fFteGSMwHsv80jltK60mkJwCM7rDo9C2aWRalksBb+22OMoqWLPexYC0h+p0EDcbHD17hvM//UmCKcqOCcgPD+X4t7cJJDW1N3otbWpMBUEWiCxtjBI8ZIywi1Fcdyk1V5WB0xpjgmzrX00mWyX7gUG4vsu+1TLmk/V61hebTKkmx1yjIQxPfk4MlpHJofXfkVJkXTtZg4hK2ykuFlLPTwYq75jAQFzb47CdpAEHglqXagBdoyEBJ5NEug5ZbTPnApNtPCaTYWSZNfHhGOhxThAck93J5o8lCnSeseTIJO9kQLg+6Dt6/OIFTs/OtiWQMUpAvtlIwsU5UVssl5LwobJIGezY65lRX+z3JVFDRp2Jq15PWiIpSI6U6hKA81nVdUpA0k25LIWBB2TNjdKayqTQWqpg71CnI9J1KmF0LnGvMLM6yr6ZHG02E/NJ2TOd1Al6gVRnfnBgHgK4vU1g7+AglQ7RWZ3nWlUCrm9ukqSdoDVPrvNZcf0lGCeIZ1L31SuYWVoI214hRZHYXSZYW62kdGI/aG3piPPzlND9+mtbi9DryRp/fS2GeK9eYRIjzotCmHcmmCg7B+R7+/3kPE9wzv+nOoPgiGUNPFfuIYxDaFpKkDsepyS2mhbi4CCVXPH9ZP1rnrggoKLSgftZCPJMuPbTDK7dTl1FnjxJ5nxMLLN8hCVlg0GqjeeakSfGb26Suol15bX00nbjse0N/upKDNQWC7hvvxUlyKtXsqazVEDXIrdcWsIrKPHg+n24t28Rl0spzTs6khhhvRbvnLIEfvoJ3nv4skQIAdXBAfD0KfzNjYDSGFH3evA3N1LLfnwsCsLNRt7p589Fen16KiSKJnbicAgHlWCrEqkEMHrxAudkWVcrcVo/Pob76iv57422mmu3EUcj+P/4D8Q//xmx24V/8kQSDMOhPJ8QpFzg8BDxt79NyaasdMJVFeJ0KvNXQW7sdGTdXyy2OmOY+rPbNUm71+cWmk1RiRFoNxoIrZZ4CWTzNQ4Gco8vL61UgsDSD4dmRotmUxRfusfT4yGORpZo9Wq4Z/FZCBLbq/oql5P7tXjpWP287nlk202Zkw/GRLuy9Y2UU4Z+/14icYspJ1F3jwT+bxlfJO6/gvHZAHSOXcD9IfJ3Mt78nAaBDjCGwdzed+TmWC6lXp3Sxyw4c0ACLw8lEe5i1ZUZM9MetrRYrZLhXC69B6zu3sUoLDnlqlwgVHJqmzxrQNmqR7OflLRa4K71YpHyWb1nznszzApOekkilyeOxxIotlIPdAu0yAgTPDgn4A5iyoKisICdbssMbpEnGpS5hAKnydERzmjGU1XC9KzXcv8GA9lAcsDPe9PrybmqyYg7O0tglzVxdBmmNDSE7b68ZJOaTQnkyPb0eskFlUkd1g73+8m8DkjB4OmpbFDcGFqtxG6z922nk6SY/B6t9TX2XWXWBtbpkEuXat3IbYMgOI1R6q/Jfjjtjc5roMRU71/odCQYYaBNF+PcC6DZTMw7WR4mGDQYC3wmBO8K1OCcbJR1bcymeS6QDWq3JaOu72ysKglSlCX2bK2iGzEWC2mpU1WYeI+z21s47cMbnbPSDVsPNKB1OvdCjBIg3twk8zHK8FWB4pbSog6rldw7BdsYDFLddFt63DKpQZDMZFikggIwtYIl7MrSeszGujbgxgSmKUayOlVjYTPJc9T7i81GEmx8L1ot+fu6tuMS3MJ7YbUz00YDEWShnTiYW5IO2FILWYnPaiWMkK4vzvvUCaLVkjVAr8VYbmWp3XKZumGohDRqsB0p91VQYu0cNfBkcMZOEwBS3TxZDybGuJYy+ajnejQcCkDX+wRV+VhSotGQdVITRUFLjry+81tM+OFhYv5aLXE8p7s3waaylYHlHcoO5muQJVbLUlq6KeME70Xirwkcx/UMmvzVfcwUUK1WMvesa3h9XsFJnX9Ug0IfAuJ0mgwFmXwi2GTrtMvLJIP2XgAr3y2yrTc3AhKqShhVTZChrtNazPmQg+nJJN0D7qWahLbP8f6R8SXrX1VynIuLVOPPdp0KBtDpCEhpNFJbTpZSUN3EY1FhsFpJ2VHO8D95IjXoFxc4/9OfkiP+4eH2fSAAHgyShwj3UECSAZzbvB8E081muj4mtfk3lLrTj4SM/SYrN2KCmYkIzn+NBdDrpdr5fG/ktXON433NEvKWzB+NRAnBvZSqJgIwMv4sdfM+MZGrFcrZDHUIktwPAX44xGY8httsUNzeolYD26LRgP/6a2ymUxTzuZRiDIeoNht4VV7V06kw1CxL0zICf36OuqoQJxP4RkPKk8pSlGXX19JOTWMGFAXi8+coWi3Ul5emPoplCXdxIa0wRyNJIi6XiM+eiTnby5fi0E5z2m++QVlVqLkmc90oS2A0wuHz59IHXWus4x/+IHvIxYXsR5NJUsL8r/8lMv6DA6k315p/x04oqxXi734n1/funbi203zQi8lvrCop4SAZ0mrJ50kgeS/JPK5ZRWFKVH99nQiJ+Tz1d1eCw11fm48MOh0B2z/8IM/46Ci5z5elGOfd3hrzHbU8j4kCtFpCtlRi+unXa2HN9Tq4BzDGexRrzme4q4olcN+nln2MpD1n3YFfzAjuvvEFoP8Kxq8FoB8eHuLy7dtt4PrQyMHxh8jf75KmZ/V1UZnl93qoM/ACkhM7sM3wl+XDSYS7WHVlfGguxxoaq5NRlvi9Y1KaT4l8ziwocHDM1jPLrixm1FZPlD06BgbKYEStLzJpTq8nQEYZFjgnCziDr3YbOD6WTKv30jqD7u/drgT5DCgJcnM5G+u6Wy3bDOPtrTBT19eJee31MH7yBJfv3lkvbAu6M1fc0O9L39GLi1TXR2mWGuQEddiOl5fw6hCPokg1mGTWFVzk9awWtABy/mw3xFrLg4PE9lCSqxsJzs7MMRujkWzYDMQovSbrymQLnXSLIt0P1pzTgViZOhweyial2fnciAqXl8ksigFZZsRmBmAadESd9/bcmKziRr5eJ/ZT34lIA6y6liQT7xE/x8STqjOwXqfWe5RUk9FvNmVuK+NrLb76fdnoycpfX6e6XG3RFJWJcao+GH/1FS4oq1Z5t+v35f1Vo0EChEiW3zmRTbO2O2iZCBMcGrS5QpzmaWTDVl1mhqjBZ6QEXSXdABIwUKbbZPMK+mwuKNvrKnHLZa0jgTMTe0wcRgUB1n6Oa1ezmZzN12vro2usul7vlnpoLWZHBtIZvFDVURTJuEyDaQZ1BtKbTfkbfS68n6Z24f9rQs/pvmDdAwhogJSoUAWDJQk4P5jUUUWQ0/c/klnV87OEGtdXrncED3rMw4MDXJCBzPYq80NgMoKMJk3fmk1Zz2azlHwi2On1hIWiWknrLB3LSwhe+n2E8VjekRglWCXw4vqiwDwcHUn5kCZaIoPEGO09ANdN7mNkFYvCAltLGmqJFRM9sSV9iCO7i1AuTvaW62yMyaiTLDmNw9jij+D+4kLOn+tms5mUS/y7spTvYskV1z4mhOo6KXS4j3G+HhwIkGRt5mYj/80yJLLwNBWlou7FC5mblKyzhIuJV6oCyHRTSk4fkRgx/v3vcTWbCZP5+rWs/QSHBOosobq5kXs1maQyKyq62FqN15UTDiwnoHy+00neHmSlCdbpY8J1g4lgJjYJ3MsyldQcHaUSBDLcXBuYdGbbKrKcBOgap1iveV0rMJ0mYzsqB0iQkLGsa/jNRhjSRgPh6EjW4psbuJsbkT/PZnDPngkwPjuTd3AykWRtWYq3gxqzhtlM6raLQhIT2ts8tlpAv49ys0FUiXzs92VPX60Q+33x2RiN4J4+RdAWj6hrFN5L6ctqhXBwAN/tori+xsZ74A9/gK9ruB9/RK3GaYhRjqHSfUynUjvNuaNzYliWmL58KXHaH/4gpZnn5+Kv0+8DoxHcy5dwf/wjitUKG00EuIMDeZ/Wa3FqPziA+81vxF/o55/lHWe7vrq2ORfHY2GXtTTCX1xIn3EmK5dL2S+z0i5X18Kut1pSy84SJ+8l/tKkjdO5VI9GkuB/80auczgUc73NBrHXk4Sgsu8oS1Ec8V1VoiRqaY8l4Gl4zP2MaxrfkVo7vjiXErz5/gVJ1r4nN79Lhh5Cat1GgmLfyCXt+X//ncfh4SEu6Jn0GY0vAP0TDUf5MCAB7L5s1b7xsfL36p76dsouNSBFUciLmP8dQTN2pOh5AqCu769Tz89jl1VXgOC81nfqxuhWK2HNcxCej9VK2lhU0j98q/1cLX003c1NCqAY/FKOrgGttf2hnJR1x8x6d7vCshLEcXG8vEy1zgcHIkHqdGSDZE1zjBIIULrOexyjODKrrAoxCgBptaytE25v5fwplVbW3hIjGqiEspQg9+pK7oWyAG42Sz29GQSolI8GKXE2k82cTAEdldmHu6pScoEJg7JMbus521NVycAISLJ3IPU6Xyzk7wkQ6lruE9vGkFWNMUnxl0sJmGjqQ4ae4Jct5liHyHvDYF4BudUyep/UCoC1CYNz8hmyLmSmNKCMZWlmYuj1kvJC66eZBNqSTmpCypzPyY4zycD5UxRJ3UIWUKW/DP7d9bVdZ1CJPQ0iWUOMXk/kbKqAcCo5jgpGHJn2ert2l7JIAlwfggDRtTjPB/0bA7MMhFX6zhp4SvwjYCAsMlHBspacCWRJgSbM4mYjSQkF5pG/V5DJtdMYan2HHKWB3pthYN67NnIOK3NAGaHNT777rMlzLsnGN+IgHptNOR5ZMcrVAWF4dK45lb+yVCYWRZoLCqDIfDido0w8uBCszpit8jAYmEeDazYFKOpxoq5XJr1nYiz/7xyQcx1WhjLmYI9ziJ8jYFFDTUADO+ckkNT5H6pKZLBUXlD+z7VJATaC9Gh2bPM4HEqACphBpqMKiKCp3UZUAA4n7dQ8WVz+Xg0Qw3AIDIfCPBKo6z2MylhRXZArt8yglO+Zz/qsA5ZIidoCEapuMFMyrh00tQTkGbJTA93Zge31iaonStpz6bfub9bmi73BVSVhoFznhSkg8kTDYiGgbDBInh5MlMxmSUFBCTrjEuekvvz4WNbq6TTVT1NV4n0yF+X5qlrM1kx221DPC6hZpTHbvDfrtfyOcvlmM6mqWL5FAMx5zGRSqyX7TV4KwUQswfd6nVRXXId0XbZrINgmm839Q+cUADknSs9VYWQJMT4vniffP6ouvv02PTd2a6GUH0h76+2tgPNWC348RixLYcfVJb0AUH/zDeJiIWZkauDKmMGxxeLtLWrvJWncasENBnAvX8p6oeU64fZW1sbJRED1zz+L0q/bha9r1CcnIrXWd7/Q83KnpxKrPH8u9e23tyJnf/ECOD1FfP0aGI3E2f3kBLHdljZu+u6EGMUE7eREup7MZohMqHz7LfzxsdTBV5W0SNPOHv6HH4Dvv5fWub/5jahyul0UL19KvDadov7uO5lDy6W1hwNN1mIUJv3kRP673ZZk4dUV3GqFmu3KlDWP7bZ1LYmNRuoA5L3Vg+fxW3F2JkQX1UX9Ptxf/5oUM9oD3YD3em2+LLHTke+4vZW1pdkUGbmu1361EhKL4JdqISbHmbzS0r59rHnedvI9HHCXDF3VqR8iaf97GMH9M44vAP0TDGPQtb7QhSCBPussHwO8P1b+ToB/F3tP+Sid3nVxz7/Xgvec4c4TB1wI73tB72LVQ5CNhxL7wUD+frUSM4w8yNwdi0VKIlD2yrFcilRSJaOOwWy7nRwyNWCiYzxZz9huy2JP6fjhoQSkDOABab3F9lvdrkjgu91UJ0z2mH1fCcCZrOA8cE4yr7rwWm/2usYhgKsff0ysSa9njJ9TRi80pcc3+1qj0RBDEe+lnp6BVcbImklZjNJai8EeJX0MMhlQAkmVQJDGv2GwqbJsjEbJ8R1IhlqUdhJYk9Wm7JJBJs+DCQO60Y9GSXJOJqUsJWFCcKKGcVbPrS2ArEyB8mkamDDBkCkuTMbOayeA1wRCKAr5bs41BnYhJOY7Z7D0/UGjIcCYmz0TSOpKa+0Jr6+FzXdOAtwQksqj2ZSkUNC6ddZY1tp2TDPlB8MhrqZT6W9LF/pm04IeQIA0WUdoS7bAYNtLDSIlv67dTiyXfhel1VHLaABY/TGcE4BLZq/RkHnL2l5lVyn9jo1G8mlQeTyTYltzIwR5V3g8DZy9JiMiwYuua6bEYCDM5IuCVRejgHgavfEdyRnXuk4y+VYrmffN5+LeD0hNIecPgUKMUpICUSw5/bzJAMmqVZXMR9bRq7LF+torY7/V351qF34XwXXOnPAdqCoDPpb0IKvMd5zvSFXhcDjEBWXW2Xpqe4RzImsHpP6RQD0EUXnUmceI1oOzx7ABRQV9odeTZCvVA1TI8L1ptYQlVB+PqKyOmaYxuaCJRvYGNndiloewrIQJIFWreK3XZXBN2XtUSb8lg7y0R4qbjSTdCLZy9pZeG0zw0LiQjLaqs4yB53HoHk4zTvYuZ5KSex87jvT7KdlHxYkmDG0urNdyTw4OkrSb50wzs9zUjKw4lVIHB8BvfytrKxVPTGxxXafiSc9l3O3iKk92ttvJwO30NHX5yIN+yo+ZgKXRKM+PCQSy0DonrNZaVRdotyXhy72GSWDvk7EqQXXmKYPLSzkPvj91bcDOksaTSVp/MmmxSer5PjGGoEKBie9mU57B4WGq4aeCgWvRagV/cIC634dfr0VCfnuLWNcoBwOEyQTx8lLm8mQiccNoJD4iiwViVaFxdoZqNEIBIEwm0t7z4kLqqdnS7vxcWlmORnCnp/Dn59h0u8KOlyXis2cST202KFSGHlYrFFdXAqx7PZGvr9fAH/4gx/rLXySZq5Lt8PSpxCcEt5uNqZLCV1/JXrHZiMN5WWL03/87rpZLUYN1OrKnDYeStPjLX4BXrwTwP30KTCbiRj+dSp17WQL/8i+yjrx+Lc9vMEhEzGIh64Z64sReT5jst29lLqjSz9RfvZ69+7EQc9/QlM4irpJafqeJSsznoqxkXKDdJdzPP1sbuNDtivKzKKQfunY5YJIAmmBgMjF2u6bwdDFanGrGl0WRlFEaw+xlzQFru+awBy9o0jty3mfDqVIm8rv3DaqVVJ2y11Tu7zy+MOi/gvFrAehWL0E2GdiqoYxVJQvpYyXwHyN/54vE777rb9bJMTcOh9svXc5wU76bJw6A7b7md41dVp3H2KiRl0qHGPBYwJeb2eUjRpFWUgJPx1X9Ha6vzeDE5EQa7AQGf8q6MRDdCuQoK+71pGZY2RBjx+l6XpbCFNAsznuRlROwqTttBFIPeZVQGeOtcvHQbuP42TOpB10uRUY1nZpsMGqts9V7NpuS6V6tBKzrtaLRSDVaZKmrKskxyRJTpsls8K7zfAjpGhlsclCSOJsl4x46wOeMXowSqNCYiMfn97HPrPcS7FBCyjpAZeDQaIiUsq4l+GFdH8GxMs7x8FCUB2rqE66vJSgPIRkEUfa+2aRafsqsFeCFycScpU0CSdClc8/uD5MF+r5Efa6Ox2Otfaslrc4Wi+SlwN7xfOeYkAlBwLX2jjWfAA0IPeej94iNBo4nE5wuFtbvGyzXUGn4VgcCwNr9OJX+Uq3BVj/YbKRetygkYRbCdm2zzg+vzyCWZWqzSNnxaiVrHEFys5nKNshikfkiUGB2XsEBQbQZkq3XSeoHyN85l9zNeZwM5DsNjm2/y2oPvdbDhh32OZfGe7LcfHfIXFLyrs/dvC44hzebJP9uNpP8kmykBupcZ8xMiqwgGUqurfx9JmU00EXgRcCWJ115LzTZgqpKbr6NBo6fPMEpgQtHluTbSqgqG8p6dFM4KAPndV2LVIus1zZHjM0tS+mdrIx0CCG1LSRoZJ06DZycuC27fL1otYwZjeOxvCNMKFHuzoQB1wBdZylhNbVVLX2B2SHEqbLEqYlTDEH6Sd/eynoym6V1jveWTC6BGEFkjMnZ/eYmrX3a+cCMzYAE0lkm1OulzhFMJvJ9bjaTMqfRSEZSV1epZaU6YFtJFucpS8MoA6dSpNcDfvMb+dnr16k8JpO2M6k7abelDzoTJ0x4kQHsdmVvePkyqcOYrBiP5bu4B43HAoyZPGDSmNeTJzepTGD/d97vskyJVvqFMOELpPWfPidMHHHdoCEqkI7FNnBMzjB5nflUWBKQ39VqpX1lMhGVAtUXFxeieFos5NizmST2NbHkTk6kZ/l0CtftInA/b7UE2G02CNMpfFUJwGs2gaMjuDdvrHMEhkMhMm5ugBcvJJ75058QFwvZ12KE73QQDg5QzucIRSHvYAiA1lRjMpHk5OvXcIeHqP7lX+Sd+o//QDw4sNr38OSJrF/NJsrLS9ROWjNGmrbOZggay7jDQ9T/8i+YOIfLn35CPDpCHAyENX/zBvGHH9C4vUX13XfyToxGwtLznXjxQnq9V5UkNJyTxIMmet3lpTxDxoLDoTzj01OE42NZxxsN+OVSFJy6F7Ltpxl9UqUHSTjGTgden5F1MhkMpH3acpneX01QBE2+FxcXsnaojwwd2tl+Dc2m7E2bjTxHljSpMiOqf4qpVVmuQ2UbY4Yd4uw9PHGXpL2uLSHxoKSd78RdDPx/wfhSg/4rGL86gM6Rg1oNwAykAY+XwH+M/D2mmpR7PxMjcHOTAjFuThxVZSyu1YRnCQj+5b2ZtbtYdUq9Kb3nRkszOzJA+0ZVieQrxvdbQmjNERdBSn/RahnzFymHZVZVF2p0OnJOmizAwYEwLsp2u6qSDeDyMkn51L00KuPtaDCjUuQ8AwlVU7hCHYg3G0yGQzGJ6/et3tZPp8JqENQMhxK4NpsSsHqfWjiRNWGt7Xwukmmy1EByylVpsTnk01SM8nQGhQwEyR4RDDEoycE9DdZ6vdS/ntJn/pyBNYOd29tkDMeAh0CD8kBNSKDbBW5vhSkrCoThUIJ7bQ9jx1GJK+h2SyaDYIbvnjoIx4ODlJzKwXBZJsMvlQpakBtFLs1aatYVm5qg2TRgERVcOoIQBvdqthaaTXE5JzvfbsumTbOeSo3AmOhQVii2WnDO4ej4GGfn5zKPVOkQZzMB7IBJfb1z8n5RQsd7u9kkCbKCe+unzg1cZfE2dynDZWCuz5NqEDres2e2ybnpccDAXtlqMqYATMZJtt2Sks1mMqsjSM7WFZNWX1+nZKD3KXG0XidvCkCYYX2PnAKs4L3cC5Xwm5pF2TkmBVlv7p1D0LlgAFL9HGIOSiqpuXUhpBIisrFc971PUsasXMfGfC4OykwE8f7xXeO8zpUICiScPotdc87j42Oc/vxzSm4AlpgIGSi0lj+6DgQ1zPIxpvZnlI1rAB+91ukzwUz1EvsJDwYSZJP5LwqRsuemXJ2OrNVa2mDyUCY8i0L+n6oDlTaznR3fY6tB5+eU0XKsQeVapXMzNhqp13q7LSCg0B7rKrene3iMUZQei4WZI1qHCTL+y6UAn8Egmc1Rhh5jMtikDwjvk3OpBRjXLhqYUSKenTcGAzmHN29k3j57JsfmGk1vFbL2fCepAGBy4bvv5PNv38p+QNdwXT8m7TbOX75MiYa8LVk+rw8O5LvfvEkJiqKQz1F9VVXJ9ZqtNOm7stlsS+BVWQYgOdHzGEw8UN7OhIZ6lFgCgZ1MKIsnU14UqdsBSz/Yro0lBPRxoYzd+5QEaLVSqzdNEmOzkX3o8DDdv9tbAWs//YRC1zT2EC+qCnW/j6LRQDWZwKkyMK5W1kEhdrvwgwFCo4Hy3Ttsovow9HqIp6cSGxwfA9Mpir/+VWTwVJqdnIjxpyZWi7pGUEAfh0OEoyNJ1p6fI/7LvwBPnyJ+/72o846OpF/5aITY68lnC+0QEqU8K/7mN2KINp8jch3++mt5ru/eYTKZ4DxGc8v3r17B/fnPCI0G4m9/Cz8aiVHb27eJyHr+XGrx1cPC9fuyL7Racq7rtdSwhyCAuNOBv7gQFlyvxzwr9Pmyza+VMnlvdeeO68NmI0w/12Kunz/9JPNiMJDuFkxuj8eyR1Aar2DaX1xYaUjQ9derR0Hg/ArByoLYjteMj3WN2u2C5DabpADYx47fJUOnOeljJO2aXLqLgf+vGl8A+q9g/FoA+r09+3ZBNkEuFyP+/L7xkfJ31ts9+JmNtFkAYHUzW3+vcvRI9ooBEQAzXHso4XAHq27S3WYzGTrl9fG58dLuWCxSuwm2b+G4uJBrUtBhLMtwmMABM92bjZwHQRHlidz0WYNHeSMlbAzyVMJogFyl97lsMBLU1bU4hurCHVX2bOZKdHpfLLZZ9aIQMxJuJJTMQ41ZtIYutqSNlTklU4ZMwEu5N9k4IAVIl5epXp0sD6XPzWZq7cMaPwa05+epVj1zSzdXW353o5HKBsh4cHPL2fvcxbgst1QR0XtLVLAVUSxLeb6UnrIGkDX5w6GUKNCVl4F7qW24ylIkzQyeZ7PkeIwEeB2Q6hrJIt/cyGY2m8lGTXkqWfTJxGraLXmhMtu4lpaDbrORQFrl7ZR2RsD60fKc3XwO12qJ9LiqZMMPUoeZO9NSKeA1WEHUWuIYTbLtgAReNKljvb15rkVh7rgmC2b5AuvbgSQbJWglw9vryX0mGKi1jlifA9lXY7oJPIA0j/je6Zx1Wh9v5nKDgayl6qxs6hUGyMrCOU20se4cvH4mBXStNuDLRKpK0cl8GROjhpNW5qDgwLOcgOoDXd+dXosB8lx5ogDTL5fC7Na1zC8+m1y5wfuh98mSKznQz8dmY5JIH6OcW1na8WweaELSyo647+i5uaKwMgWTv+v5v9cJhMlY5+TvNpsEmppNcYVWwAxNeni2QKO7vXpS2HpIlpX3g3Oo1YIbDuW+OXWV17KeLfl7CMJEOifSUapfnJOyE10/2caK3iZoNAzUuVwZpPfdkqlk2wnU12thhA8OBKyzlpn7h3NWAmPtwEIQgEw5NpONs1mSZxNoUjEFpGSoGkvi6VNxHV+vU/92AlNKuler5B1CdvnFCwHOl5fC5nMeMxHORAN7navc10qTgGRC6r0w80xQtFqp9dtolO6PGm1Z4unycrumm8oE9ocPWZ06FQbrdWrhxnPI1W+NhtwjlpqoAZm56PM95XmTNBiP5XhMeHA9YUKI94DsPz1Rbm7ks6MR3OUlivNz1J0OfLeL0O8jXl0JyC5LSfZojXaxXIqHzGIh3UY6HVTjsSR+b25QtFqIgwHK9Rr12RnC8+fAaITyz3+WmvbRyNbteHAAN5+jaDYRyhJ+tUJ1cSFr2HgMNxzC39ygCgH4t3+TmOR//S9p2TseC6hUAO0aDVNfutlMzO5+9zvzjnCzmfhFPH8u68z1tbx7Jyeyv0yncD/+CPfXvyK+eCF/p23aKIdn+1REcW63dpGNBkKjgeLmRtaO8Vju92gk9fWvX0tcl5VnwrmkkFQSIG7EwJhdSMxzhed3fS1y+qAlY7OZzD31XYj9viUHw+GhGPJGMVKNnY7cH5rDqRrHWuKVpSgkuB4zPtREJxO7xprnmIAYwmmp6S5eICm3J85nTGKlaftGzrrfxcD/F48vfdB/BePXAtAHgwFuKHO+a2gQZtJ1780UzGpOHyMnITvxGAb+Qz+jjKq97I3G9mcoZVWgFHUzcmRViuJhWf4+Vl3ln07r2wIDa54PsN06bnfUUjdr8tK8Xme1koVUZWI0kAtNccW2vpFkQJdLAw9otRCUNbINgTLYuhbzI5rHkHXTTLdvNMSlVWWBsSiSaZlKJXvjMWarlbB3RZFaf2mtb1SXXU/DtbxP63Bo8yYAcO221MQSXKg817H+kLLMjBUxWW2mlKC6ARcXKegaDuVvr64S6Or1kuN6HpxeXSVgziCHmyDBOpMuZEx4fZQuEuBSRjga2ffEVkvakWmSi31Lo7KGliCYTGQeUXJLuXqnI5ulBlGewS+QShvUlM0XRQoANegMDOq0DtRzw280rO8zjdwsU64JlqjA3NEosNNJcuvxWN4DvTdkc918LscuCsTlEr7bRa/dxo2yOJZgWK3kufL9VEDO9l1MfnmVtoZc1kx1AKXSWg/K5JlrtRD0GtFoSK2uvgMxN5PKGV4mHrQ+EVW1zcazfjxXFnE+8n2r1ZhMWXBj9/nZqpL1ge+QggCa7FmNOdcjVdBAmXQruQGSiiBn9nXPdFApf7crygaCZSaTQoBvNORZKvtLZtXALxl0BpB6flaPDSTpMgMp/pz1ubwOZXCpznpvXcxKCaw9nV7vYDzGDef7bhDIa4rR6jTN0XiTtdPk77TkxnweyO5SwcN3ThM7kaoEJgOLAvHkRMwv9f03I096U+iconQUdS1Anu7aBMiqcIB29aBjs0nbG43EkldVasm22UjyicCKSe1WS6TuZOvV1C+u1/IOUcFxc5PmsT7rrZpwrmNXV3I92rbMXMTpwN5oJBk3EzGnp4m9HQxSlwsmjQGp72Z3DMA8SHB7K2z48THiN98ko0J2lWCyDUggmNL3RkPO89kz+cy7d+gVBWacM1S31XUC0+32NmDmmqBO1ri5keQB90Amap89S94orGungSJbeuZJcbrPc2+hNL3RSPtRUaQEM2OB09Mkj6d5X7OZDE6ZzAbk+5lk4X/zvtILhsoZILH9BwfpWphI0LivrCqE8RhBjXNZR++PjmSvublBrW1Zi80GNffY4VDUCFVlUnW8egUUBYrf/AbVaoXiP/9T5vpkIsm14VDmtkqn4Rxwc4Py9BR1vy+tzZpNqdX+6ivUf/gD3KtXcH/6E8LxsSQM1msBwrruu+kUAUBxeYn45ImY0F1dodZ13R8fox6PRQU5nwsDfnCA7nCImR4bFxfAv/+7OK2XJYJel2u1pI5cVQ7u+lr20XZb9nrOF5aOOCfS++trxOkU8eQkMeTrtQDpshSPFqq7WB5CFtp7WVO8R/Hunaz5THip3D+ypLGlLSSvrkSm32rBn5/LvaXZ3dWVrBPdrilOnfa8j91uUjIxvmbpZc6ax7jdNhQZa84k6G5szTV7F1BXlagaWi0rR9s7Mhn7P5IR3KMw1a9wfAHon2B8sByDTA1g7JixUyrlfBBMZ1m1R9eIkMV+zEtI9o0vv3Pbn6vr1Hdda0232jARDD7mfHJWfblMrZAajSQbpakcM/p3jeUysYadTjrnoIYdbHlFAEHptEqlo7IojrLbnGkjw+jVURuQwJV1dEAKQBSQRkCCWNaxcQEOQeRf794liWC7LZIo3eQYjATK/OZzCU4zJim223CDgZneWG9tGvxktZomwWMwTTbBOdlclIGyoH82E3acckuaHTGga7cNWBrA1ueKq6vEjtNMiCBlPDZFALxPzBKPS4aCjIYGYyFGYYnpzk/GpdUStq3dTkyYyrTNoZzZ/8vLJEmlikLbnsT1Wo6vjItllAEB9Kwn143dMYmiG77VEutGa+/wfC6gnCDLOcTRKPUFbzSM5WZbLlNjAMZCOn2eRwcHOH371urm2ePUhazNoM6lnPU3yZoqMOz90u+JWkPtmk0J9FotC9bob2GAnNfLxIsqDxwg179eI28vZsDTuXTvc/Zd1xRjyTVAjrnyIwR73xwEVEcChqh+EU7KSIJ6CDggdbCgzJ8qB8DAfCQQ4tDkF6J6ihAIMiDS74msdaUSRz8egQTI9XjGYOaMJRU7vBe8B1xHgC0G3s4l3xsICPn+ERgRMHOUJY5PTmSvImvP43Kd5L4SgnXEMONFZd13W7JZxwll6e0cCFx1P2AXAddqIahaAGdncv6HhwIOtPVTVAkqZrO0TmnJDVsFbjm/l6V8F99dJgmLQhJ5ZDu1VCRCZaeFtPnzdW1APdS11Ojq34dmU9bjqpIknErf2VYUgIE/KuPMcyQvc6HCJ4TkbE71E2ukvZZokLknMKW0nJJsenoMh/L3b9/KWk1A3O0mZvvdO5lnv/ud/J5O5Wdn22stID8jY91qyXmenGAyGuH8//v/kg8Hz4PxwHIp3+9cMtnMy4v4Dq7XApa5fvD+EKgT3E8mpkLCcin7CZ8hlV4EsUBKjLE8QH1arIwgK2PD2VmS3B8ephICHpf3gzXwTGhz72bPdu5x/Dl9Rpic5h4OyFq6WMB3u3CrFUKvh3ByImvZ9TXCfI5iuUSxXmNzdCSqsbpGeXmJTVHAHRzIO/GXvwAvXsCPxwjv3qHxww+odF/2ziEeHiKu1whliUJl9/HqCn6zQT0em+TbT6eI//qvcg/++Ee5lidPRFnC0i0F9/HqSiTS67XModVK9tnVSmKcJ09SLf5mI/L6gwO4xQKHdY2L/+v/Ehb/X/9V3j9NTHFfcM+eSZzJkh56s1D5uF4LgGdirduFf/s2GalyPfJeVFUAis0GoZAuKn42kzhpPhclQVlK2eBsBnd6asbF0WunkfNzM72N47GVE4bjY3mG87mx5jFG+KsrUT82m+aZ4rUcJbDkLkb5nJJzlrBdreQaWSKV7z+qWt3LmuMeSTtjaMrp9w2y7vrZT2EEd9/4InH/FYzPFqDnY7NjCMf/JyMNPFhL/sHy9w8B95Qh6vGdHv+9tmpkHhgsMwgmY3bfee1j1VcrcxzNzc4Qgki6AVmM70pi6HlbP2XKcYtCmFMGD62WmAF5L4Cm25Xr9V5qVp0zVYEFbLUaJK3XYkRXFGKyRTMgburAtrt4rYZGai4zOT7G+fW1gHhefyGmWSbfJcu7XpupWHTSZ9Pk53qPYqdjbG3odMTxmMxUWUrQmUvzaDSjWWBr10Vg68TV393eSuDBwMe51CJNzRFxcGDPzeS+DAaZhOBmRZk92dBOJzFHTAbQ2Zd1iJo8YeDqOB+cS4ZcyhpHTVJgsZBnyd68maQtDoeIt7fybFmbqTVkVhJByRkTBc6JVF6lu/BemGVl5pnEijGKakMBY3DO+iI7wO5DJBDVY0WWHpDZ0u9mTR0VCMfDIU6vr5MvArBdP95oCKucMacOkDlIBYdz4qSrm3TUANSVpXRGqCqRQ9N4zku9sQVuTCgy0ZUnAAjcmXQgU02VUFbjbXWxZGaVObFkB98zlfSzJtM5LRuhMoRqAOeSKoHnp8wva/0QgjDhTCJ6n8AokK6VyTldM9FsCqOjSZVcFYVMdWTgVxOuptJpiJu9JT1jTMwd10eCa5777lrLecEEHAdNDvOf5euuBrHHx8c4ffcuMYRI0nuTWyrYNVllXRuTY+Z/TIioWsNz7juXTA25h2XXZnWgmkizpBtl2IMBwtOnAvgXC2G9mQBlQo5znUoXAlwGvXWdVEOUnzbUxZ3sdVFYOYhXtQFZLauPVyDOjhah15Pvylkx3gcqBpbL5OFBAKvruJUUhZCSksOhrA10/2ZNs3NmcoluN9Vlq6zWQDDX5HZbWO/pVGpm+e6PRnKc5VIM3LxPNcLcP87OUhs8Amn2PFcVwOS773BOUH56mhLS3IOZpKP8fTaTRCwZaM5Xrv1M6s5m8tmrK/lcvy97C/uS8/y5tvC7Q0gMO/dYAmmtF7bSALrL8+80KYm3b9PnDw+ThP7mRu4J1wPK3PluMinA9nrLpexxTFxsNjKfATnu1RXK5VLY1/kc8auvZI+/vkZxeQkXAmpV++DkROasloD5dhv1eAz/9q30Lf/uO7iyhP/+e9QXFwKGW9LG1WnHD/NguLpCuLmBBxBOTmR9n04lefzv/y4ExH/8h8xlyrdV4UZJe6wqxNNTuQdffy19xfWdDcfH8OqMzucbmfBYreD+9CccXl3h/OAA7ptvZD24upJa8WZT7s1wmEo2YrRSh+i9lP71+9K/fbkUo7nVSurEDw+3uya127aeuNVKSgV1b4/NpoF0MtROlSdsLYlmU+ZCXcucazSkH7zOw6CKAVBJ1WpJgrCqrLY7MplE80CqXKpKzl/jD1s/ec92WHNjtZlg3Y3RCd534+oYU9u43Eh5d+Qy9oxB/0caXwD6r2D8WgB6q9XCipvvx45dkBqlDtGYTbLS971IHyp/54sOPM6EjrXoGtDb+fLzGnD6Whx/ozJYcbMxme6D57XLqte1AFRKVVUOTlMxHzPH+YfOmxJqZjA3Gzk2WSJmM5viwuw04I2tljmBOw3mACRzLg3EIw17FovU65yy4Ux2H5VNadY1NgzsyKwyuUFZdKcji+16LTXSrNVWJshknGTJ6zrVAGogGxuNJAWPUVhbZvYZGBJctNvJhZ7Ax3vZyFiHR7O8xUICRQ1CjOWhvJDKAQaLr16l2k3W/arDuAVQaiZDeTMWCwPEsSyNrdjyHKAsW43h/M2NlBcQgCkbEm5vrY4Oq1Wq/VQwAWX4fP48ul24tvSX9VRz1OrErcAuKCts/WpDEAfddlvmM93ZKUsnAGy1JIDYSMsyto0ig2k1yO22ybWxWqEJYKPS5aiA2fE+Nxomw3ZURuj1OBrfFYWoXtiOkLK7jbqZqyzfTMb4rCh/Zu2vrkus96MyhB4CjnOQEt7NJvXfruskN2fwzT1KXe/NQE0ZMDLibIXIWkNj04FUswsp+zCzoKoyYzM0pJ0Oy12iXst7axN7EStYMwaZJSEEXzxvJi1YNlAUctwcOJIl5eD83GW0yaCTgcwTN3wPMiUAgMSsZ8ey89J702q1sGLd7e5gjbUyiLm6K2oCxFcVQl3LvdW1wanCgj3iAWWjdA+zlqMh1XyHQswEncr3mZxy19eSDGw0hDVT5ovrqkmYmTAryxQw0/zMqVdK0N70s5mUk7RaUgOsSW0z+aPaJEsKIN/ftFzIOoUMh1LmsViIekC9OXKgTjCyVXLExCEZ7Fw9RDVSWco1MNDfbGQNoAEma53pczIey+/X68R8P3sm9+aHH6zjBSaTBCx/+inVqVNyT2USz5klAzECFxdoXF9jU9fCqH/1lby319cCmBk7MIHqs5KnszNZZ9iGM79evgtkxcn4s2b92bNUBtLvC3jTvc+UXVFLr66u5DNMUnJ9Gw7le66uUqkImXeua5eXAtYBOc/j47Re0ewuhNQilusVO6UwoRaj7HGbTTLv07jQ39zI83/+XBhkqtM2G+lFPhhIWVZZAm/eiHHlyQnQbKL4z/9EPZlI3fZ0isYf/4gACEvdEOfxqMDPqbu/f/fOWiTWh4dw3S782RnC119LguD1a+Avf5GEQLMppmftNjxLP2YzhNkMxe0twjffGLERGw0Uztm7GapKPHfGYymniBG4vIT7/nvg+hrl//yf2BSFPFdNFsTBQP6WDPLtrbyvvZ4A61rK7OJkIvuL7qfF6al0Rjk+tjUYgLDhXlqgxlraZhZXV6ibTUm+RSmFCJ0O/Gol90ZLoUJRyLs8nVoiKPb70nLu7CxJ2q+uxDiSde3TqZAoTNYWhcRYm42ZkQJI5pHcA1RZci9rronBvcQW1/U9ZU1+sZB47zGSdo1nP6UR3H3jF8FU/4DjC0D/BKPdbmNJwPNLDAJtglSC1hCSJPM+sPuh8nfKXYDHAfU6a42mpldWXw8kubqaYAUGcmRpyGTeN3YTFoAw4rmsh2C9ruE3GzE3YdbyrmMyIHTanxxynw2kUOY9naZMtDIlDNxMCg2YC7S5hivTGdpta2Vi7A4BKQB4j2ajgTWl73kdJ68Lym6pEU1Q0yA3myVTO2UwonMCoHOgnjFeTpMMAMz5O1SVbJhk9m9uUq2mykDtmQXpgxzUsM3atjGgLksxGIpRgjbKGmmqRoMd1iNeXKQWOGTRKYPudiX4UaYjEKCTuW21EkuldZlM4pi0st+XzXw+l+ewXktAU2a1ynxmublMvy9AQ4GsazaldQwZs/VagiGav1Cu3WqJbD1GuKMjY8itvosKALJTLGsh8NZ3KQ6HqRZPEy9uPjfn99hooHV4iOXtrSUgorL/VjrDBNRyKUoRZTGZQLKEDjP4BI96X4yN4pxcrxNLzvvPd5hgmXNFAxgLTskGUkrLbhFMIIQgpkhcf/QcrJaf85mlA0xc8rME2kxaad0hQkhycN73SlstrrTNJJNmBI4M/rWUIDIY4r+55hI8U1pJpp8jB8r54D3j2ldnpU65HJ2qAyYlydzpZ977HoJADgaEHJkM0vaq7Ls5LCCkKktBJINISi7hvbnLmzKp0bCyqKDP1tVSkuTysgr9zkA1ls5N9iKOmuRxlEzXtcjfBwMxmqPqgMEbE0OAMOIKYj39OLj+UZbrfQIDgMwXqolY8kGDKL4bXDe9l/WeiUOVu3t1tcbBgcxPJnJ5bTS/W62SVLquU/9ulhPpumxmmyxlYmkSIAnMZ8/kWATqs5n8XBOCxhw/eybv248/CghlLbu21cJPP8nPDw/FUI5zZ71O9149UZqtFtY3NwJYmZh98UKY+Ok0GcpxXlJSDsgaz37rz57JeSgIM+d1Kli4H8Qo37VcShIhSvkPBgPrkmL37fo6mctdXMjfFkVSbLVacr4sOWCtercrP6eih+c5ncr9nEzk32Tu2YubAIwJ4E4nKciC1jK/eyff1evJeZ2cSElUXcO/fGlmkP72FvXz5+KUPpuhODtDPRhIPfnZGZpnZ9j87nfw7TbCq1cof/wRcTRC6Pctyeo0londrtRTa9vYcHAANxxai9nwhz9Iwus//kMS2U+fol6vzUneDYciZVfZPUJA+MMf4LXNmYMkPcPhoe2XfrEQWb26qvuffkL885/h+33U//ZvaMaI9eWlJDrrWszcTk7ETG0hPd7Ne6HVkvcOQDw6kmRZrycJgzdvZE/vdmUvInHQ6cg9Xa+Tb8TtrdSha0LBtaUrg7+6kmcyGKRyUvVZ4VwJk4msH9OplCCsVrJf0vRNk/BxNJLzbDbtPli3C0raFwsjhShRt+T2Xaw51/+7JO174n5r37ZrlLy1uGtvdJbOkUH/Bx2/OKb6BxlfAPonGH83OcYekGpAWMH6vaB6n3T8vvGhcnnKiULYbo2W12Iy4CLr5L31EmZP5gfHLqu+A5Bdo5ESA4uFSLoeOrYGhAZuGVBn9bYAZHFmttM5WexpRKVySacypQikvrla08o6IEeDHgKc4RCTw0Oc0229qhJYIFhkoKFZZSZFwmAgIG61ko1Bz9e12wgbccDf6t1KoKWbDNUYloVm0E8GkHXglJ5nGyIDyjAYCKNJk6D1OjkIP3+eetYSwI5Gci1qpoLRKLUBotSZz/DwUP5b71Po90VuB9ngoroom3kf69tjlMC5LK1e20ymFHCanI2sEe9vlD7h3FwDAK/uvGYaptJKe0c6HQG9ei+iAiOTDFM6Thl9VSEqKHYE0cNhYnmWy7TZKksJ71OdNQBfFJgcHIjEnSCR6hplAI397nTkPc6SCbGqZCOnxDmrrbR3QOsNHVJQYOfAzDu/j2UGCpTNNLCurfTC5OwEp/O53ENNljhVmVBZYgw+E5UbMaXDZiPJPio7+BwJ2qEJQspYWc9OGXmRmZ5xfVPwbuUdgCUTjV3gd2YSeEtQUp5OEMy5koN5BlSUxEepVc6Bs9XGc83leeaAnOeSs+NMEORB277kre4FR0dHODs725/g3S230nn8Xp9xAvWiSGVETBZpQtlrIpXKI55/rCopJ1ou4alMYLDttFxkuZTSEO9lnadap9uVnurZWm0JSYJCPa+g3hCeJTPKLBkYV4Y49PuS+OL6SvVOryfMvCaPjJWP0UxL6dqMVkuOo+u71alXYmJIWatjmzW25Wo05JrJKhNck+nN2shZnTog/+71gG++SY7hXHvb7VSzT/Oy42P52cUF8PPPKQlKVv3yUsBnpyPycoIMMs/rNSZFgXOy1M4JeJ5O5bhPn8q5TKfyHTTHo3Elyy9CSOdJo7YYk1FeXadSgbzl3OvXSQrP/u9UHFB9QoAeQmKnb27SZ5iEfPHCan/N4I57Dhn65VK+UxPWGI3kGptN+fu//tVadZmknTL/k5P0HjMRAcBzzfv5Z1lPmWD97jtEAMW7d2JAenwsNdZ//rMAzm++kXX4z3+Gm07hDg7EDZ7KJTr993pwP/wg+0tZWulEZJLgX/8V7uIC+POfJdE/GFii0k0morJTA7x4cwM/mSAcHUligioztrjzXvZtehRo4tr/8Y8yL77+WlQWV1c4aLVwrh1m8OyZ7MvLpSSv9bwxHqe4Q13o3WIhNd8slxiNUvkYpLyR+5Vbr+3922qB2Nb2s1UFd3ZmnW+2SqeoEmu3RcaucXw4OEjHazYF4N/epjI73RPdYiHXwtIsILHZ3Dc1eemydWh3XTbWfN+6nEvSd9d0VeVZB6R9I/v8P5IR3H3ji8T9VzD+6QF6PnZZdTIgKu1kTeadoPRD5e8f+veUfuZyV/5c514ukyRbRpdhtsO5d+wmHBg8MkDTc2XfYh/Cw6ZydZ1YOgX6DkBcrSQwIwtCySEg97gsEbTfsiNQXywkqGPLDXVlRYxJqkwn3tUKk6dPca7BjAFmsnK7G4kGbKHVSm3VNGCFF0MltgYydkoNlyyYYBBUiEScrvI5KxlXK1hva9aCDwa2CW/JdasKGI+lNvP6OrEXNNvpdmUDZ70gA6scvJMNoWER6zDL0iTokXXCrB+lUgEqP61reN2ITTbms17QBNXzuckAg/dwvE+8FnUDDpSaK1Cg1DT2epKZVwdgq60NIc1xBmVquGaO6MrmhV5PghBVTZiBoNNezEAC9iqdpHEf5/Xx4SHOrq8lIaDvF6/VNnF6F0TxH7DnRkkemSsCErK2q9WWbNJAJ5nVoL4SVH2wFIIBuL7XVj9fFBLAbDYiGQ/BXNyZyGBrrsj5xcQfQV6p/ekzQM57GvhuUSrLd4XvMdUATAwq20umE8hANp+dgjxLbBEgqWwbLD9oNNLfcL3bTWzqe2S7b8ZSbwFtsvn5z3heOdPNZ8HvuGvNZzIASMqEsnzcXpU9k63kb27UqUaaW0lT1tqXpSWU/Wol6g31UrD7q3J4W2/IwkOTuPre8fytFpyydK5JQJqHuQpEQVJQZs4TrNLVeL2WZ6m9tEOnA6ddM0wxslgkoF5npVZap+34bjknvY+LQph+yrJ7PWPY3GKRWhduNiILJuBuNJIZGmu7qWgqipRwogSc9dzssvHVVwmAv369DYwbjVTXrg7euLwUoFxVaT0+Ppa/++knOSYZeV07JnUthqZUQ3HOT6cJTLO1W1nKeRCoEzTSlb/ZTCC31xP22fvUXpPPFEhtM/v9lACgyoDvKc1GORevr+W/r68lwUAwSVn7ei33rNeTuXR+nu7raCSMPd/td+/ketdrOc/RSO7VaiX36vw8gXOuH62WJDqoBKikz7g7O4PjXJlMUP3mN9IO9t07WW9fvJDv+vFHxK++Ag4O4K6vRS5eFMKWd7soQsC624VvNOAGA4TFAu7lS3FZbzQQhkNpxTadon7+HDg6gvv+e8SrK8TjY3jvpca904E7OhJDTZav1bWYtmU+Mk6JhtjpSKmgJogir/HVK/g//Qm+qlD94Q/Sweb8HLHXw6TXw9Vmg/rkxMobLC47OBBVAQ0WDw/F7yJG1KMRitNTIVq63dQtxTlJ2MdoID+2WiiuriSxMZ/LutVuS1xydSUt2/r9pBKlOkhNJIMmBYp371CPRlJ/f3srcZTGTG61EoUc31ev3hch620OZci1hMhaPN7HmgNpLdxHtN1VI75Jrdruk7QbIFdF0z+SEdx94wtA/xWMXwtA7/f7uOXG+vce+1hxsjKUZ+MeYL3LRj80+PePzbopW/4eqw68J+m0GkXOTcoPH5sQ4HU4NYtaa69egjM95qNM5ageICOpf2fHdU4W7M3G2mcQ9IbxWDb7GEV+PpsJWBqNUo0vA7KGtFBzALreY66LUNTNF6qKcJQ10iDPi7SdBiTh+FjunwYjsd8X0F2L4yicMxdv69NN8LJH0myKDOfkGZGZbrVSm6CG9CY292K636pcMKhzqzs7S63I2Gd3NEoMBJACHgaPGoAgVxRoLXIYDEwxgUZDkhSU/lLCqP8292cgsenKJDsCVXVTNbd0JiZCEKOZxUICejLQZKCoWGFNLRNDIQC3twbIKf11UfuPsvVbCAYiHYHMZmN1beh2rVbXeZ/qwZlUUWDa73Qwn80E1Kq5X5xO5R4FbYGV9+CmFJ1gr6q21BVewb+1PyMI5rVyvpD1IAPM90YTSVuMMw2HCCZ7PSu9cBq0GlsNSDJptZIaOs5R1vCTkeI1lKXcGzKNpbqIB2mfaKwjP8dzYqIkU83Y2sN7lF2rgXEm+bw3ObwsDjtrKEG3Bl6W4FSQttVSTZN8Wwz5HevSVkB13zqcJ0P1XdkdH7RX5YqqfD+p67SmNpvb+8lmY58x1r0sU7vMdjuts1QIhWQ0aN0T9Dud91JSxL8PQd4ZJvLU+MmpGaLJVnMFjSY8Q6eTWrh5abNEuWeo1Om9KIQBB6Q0hglBXfuo0qKEPSh4gPfCsmmv9zAYyFq8Xsv3tFrC/mmyKirb5q6ukoO7ghEzx6QihXXkVFmxDzSTvywjUcd1XF0JsJxO0zHV0dtastEk7u3btM7TLG2zSa3H1ACrOx5jzjp1rs+5GoBS+9lMgPrTp3Ker1+nnu1UsgApAfDypSUoDRizfIlMd4xJ5q8JDtCEk8+Ehng8PtVeVZXahjLhwfWhquTzX38tf08fFZZfffWVgH8m1U9Pk0qh3we+/Vae2/m5KBOYSKASrtGQde/qCoWqzOq6hvv9702yXtzciAt6ryd9wkNA9e23Ere8eYPi9WtUnQ7CeIzSOVRFATcayfp5dIRCWXPK1HFyIoAbgPvtb4WV//OfpUZ6MhE10nKJOB4jHB1J27SrK2GLBwPUk4nIu4dDMaMLAXXmH+BDEGZd56D74QfE16+lBdy//zvw7p2oZ9ptuM0G7e++wxJAyNVn7bZI4gF51lTqqfmiA6QvebcrsZw+z8jyO32PgjriY7WS75vNrFVoLAp4xiEsjQPSfNIyhaBSend9jTCZWGtQJlIdzd3UKydq4obtT623OcsnVaFnSUCuHWTXs3XVWPN9azol6dxTs+HyNeQxknYm4P+BJe27478UU/0Xji8A/RMM7z3CTj3ff8nYBdt5QKVg/U4JPKU1d/1+d5BV+RB5TC4jp2Rz5/sBCFurwRcBQWCd60MjPw4zkes1vFP37LJMss31+nGmcpWaJWnAzj7O5irPNj+aWY9aAxsoEdRr99rrlW1DnDLJ1j99NEosOaWN3S7iYCCLv3MiYWctDl1I6xru/NyyznE4lHMhG9/vy/NXJihS2r5aCXgneFb22TWkzZfVqwHJ6AhIJmabjUj1V6vkbLtayf1QuSuKQuq4vIdnPR/rDQnqAQu2zTnYuRRA0QCK7vUMujJZciwKqbsrCkmYNJsIs5kAdwVTW/WkGuBb0K/zzjeb2/2FAQlO1GiJrLUxKjrnLHBWsOu5eWvtNFl/k+9ThqlybZ4bej15VoDMFd1Mnd6jqM/CK/igG3/UAJ7gNVDKmcuduR4wO68A3TEpAKQ+udzE+WyyZJV5GnCz1/tAh27ntd6+0UjSfapIQhAwrwmBXPnilktJ4rE0YDCQ5IkmX5wmi4ICfpMA0oUZkDnAdYLMK5B6n5dlMtus6+Q7ofcVet9NSaP3z9YrMnN6fPtMzoBzLeU6zABd5frgd1EBwMEEDwfvfw7I71Mw1VJ7biz5I9iRj96r7krs0qgTkHUkB+r6jlvf9EZDfBGgJUhMmGiJSnROumPoOmLJJyp99Bk5nYOmguB6xpZaTAqRkaX6QhMC1uGCdeaauGW3BCtfUAd4H0JKJJalJL86Hbk2ZY+jOmg7QBKIWlMeNcnnuYY0m7Kua/lFZKcQ1lJrkgKdTnK4597A5KaqWNjVwXqqcz06OBAme7FIDDCQumaomgitVmKif/45Je2azWSAxlZi9I7gHKOyKMbUW51JyMtL+f/xWPbDZ88E9JJpz+Xsyl5aO7gY5TOjUWK1M6k4yPSS/WaZFA27mGQAkrEg176rq1RjHsQrBtn6g9/8JikZrq9F1eW9XMfTp0lJ8/ZtSip3OgLk+325xh9/TPs1k9K3t3CXl/DdLuK//qu0LXv9WpJKz5+jjhHu++/h+n2Ep09RrNfA99/DrVbSD30yEaDY7cKXJVyvh9o5lH/+M4Lu4fHwUOrcr67gOx3UX38NnJ/D//ijGMy12+K8XlVwX30lZm8XFwgXFzLvDw8t+RSPj2FlWJOJvL9XV7KWPnsmZV2Xlyj++EcxT332DOHgQEiAurY68fDdd/CLhbQoA2Run5zIfWGyiMaIq5XEPbOZecFsqUN7PdtLXIySbLu5kcQ7iQc198ViAX96KnEPCQdAkmW678ZeT+Kmiwthwcdja41ma81mI+UAZWkKNcf3VpNutjay1FNjD7eSDi2BqpFsHeU6dCejfZeknapG5+4nsvgdqu58tAr2H2h8Mkz1dx5fAPonGJ9cjrGP6eBLTrmnu0cC/yFy9t1g9DFDFzsDCrsLTy7HZGC32YgpDzfdxwwGkUCqA9YANlA+DEleUGbPAOm+a7UgT+8he7WjLIVBqtTJlHXf/b4YqVDeOJvJwsrEg8pDjwCc//WvKVggw8nevoNBqneiaRjr3fp9a6XCgCU8eWJu79G55CRLyaZXUxXvhSHmZrjL0vGeKGMYFeRwc7SAWGX2ZszWSD3ksV4jjseyCZ6fJ9Mhgu4sYGbW2QJPMuAqYaQjtDGR63Wq/wJE5qeZdkdzMy19iFVlAVpstSQwjzG512u2O2obGoIrp/MpUqq9WIh5jgbx3qmrfFkag2917mtpVWe18XUtiYNm0wJ2k+yz7pmKEmWy42IhUkSyR5TQrdeYPHmCs9tbCRL43JhQYiKB7zLLSvRvQiE1+Vs1zxmzv2U8pkk/k7HzuCppdpqEiJyrPIa2KbQWWwRqGsjEqK7dnY78f1laOzkA1k0hAkneq9fiVEUQQxBlRM6Ae5+enypcYtB+5sgSePps7bqoxiC44+AxeW/zUdfpuHxXWC4AJKCjZUh2Hx8C0ff9PlvneT0fWkt4fHyM0zdvtmTzti5+wPoPYDu4VAaaiQ+TrOdrMpNkmqjwISCwfIWqhaIQsB+jrHe6Bzh9tpbMCiEZZeq9sd7U/b48a32fo5ZLmK8Gr1clruYz0ukIeNZEGX0J4L3IarU+2SnjHTudVJN7eytrJF2eY5S9q66FVW82JbkGlezTtFPVALEsEdttYdhPT5N5XCbXtxaUZNfJqjcaqc6b5njrtazNT5/K58/Okns8zTujSvxjFFDfaAijTQM1JrJbLUwaDZy/fp1UMUCa42Ql2YqT853n65yAdN2fcHmZvoN7Wq8na8hika6f9e1s3UagTTXP9XVaH25uUms2sukE4O22/C37mi8Wcj/Yt50xBhVCT59KkoAKsOtr+Qzl71QFvn5tnUbQ7co9pPP8q1fyWY0f/PGxAN+ff5b65PEYcTIBXr+Gn88lXjg8hH/3Dnj7VhKex8dAp4NyucRmMpH36PAQuLwU1prJw6++kj16uUR88gSx30fxl7+gXq3gjo/lPbu+Fgn50ZHEWGdnEgOUpbDpVFYMh0JEdLuIo5EA/s0Grt9H9fSp3M9Xr+B/+EH2k2+/RbFciqs89/5+H+HZM/h373A4GOCc74bWoMeltFis1fjRaVzizs/le1l6pmtc7HatRSwTzY4qOAJQjT2MNc/rrZkM0gQeywL9+bm19XTLpQBwJXhYOmFdOABJLoZgZr0ArB0rikLWk6raNpWzxSbrO8494S4juH3r+mZjMeejJO3AP7wR3H3jk2Oqv9P4AtA/wfiHmkxZQGQLAAF4fEAC/yHy9w9l4AGT3XChMpZxdyhIdwx4NQgJDIYeGnkQSSXBZiPMjV43WSen9+ZBUznewzr1p7cgUtnT6L0wJwxM2m1pnaLMpluvU515q4XJ8+c4PT8XwE+mggBIzcW4scTxWFj15VLM0bSdkGWNQxBpOYB4fCyblTLHsd+XTU/Bv3PS35zyJ+upzkQEgbL3SXKZS6VjTOwVmR0GkzljyFpzlb8zs21Bmc4JAIlZpIEZmetKeqYawIyp5zgAkbMp0HLa6ow1sK7ZlOCe0jpKPotCWIDJxPwSbK6txaXdJJyc596LURlBp8rWTAZNEBfVpKaqhKVmzatKPJ3KUWOUem7XbksQsNnI5spzaLetbYxX6T6TW8ejEU7ZDokAOy8n0XO2Gu5dB/DNJrUxy9eBPLnBv+N81CSKqStUyeGXS5FUKjgxaScB+XIpgDwz2KLngoHc62u5B0FqHk1uq+fgq0re21zuR1DNJIKqPGweNVK7OQPHIavnZ2lEDoZ5rF0wThDPJCJg5QG5escMq3gMPpe7APdDADtLXAL4sKTozjE4jo+PcXp2lt47YOv4tnc8plZxn6kcS5w0iRs5L/O9pa5TK06IlDxoAstKigB51xsN8XPQRCFr9a3FXwjy9/QiyWu5ef9ZYgIk5Qv3Ep1zxsRpQs6UKquVAH1d50O7LbXqq5WsNTSjItPGgL0sDZBzz2FPZSYKred8WaYad0BqZ6tKQKQmu1j3ihhTIkz7MEOBPoDE2p6eyt/z/J4/l3WJzuizmfW8RlHIsbwX5rzdTu3FtG57cniIcyqR2Oc5W6NpNGlqKSqnnJNzm07l/A4PBQCXpVyfdpmwpAJr7Xmu87kA9eNjORb7wNOzYToVAF3XyR3/4iI94243taILwVru2f769m3yTqEkncnn42MxlWPig675o5H160azKZ+nQR2QZPNMJABwNzfwr1/L2vP0qVzz69fyrh0dyf5ydibHUdDsmMw6OJD3oduF//57YLVCEaMkt777DvV8LonpkxMB9j//DNdsCiOvviJk+d3FhQDh1QoYDKQsYy09zZ0qkIL2AXdv3kh8QZf/2Qz+P/8TUdUA9ZMn8h6UpZz/aoXw29/Kfbi4sMTORYyIz5/LPVyvTUUXg5SU8b10qjyzJFy3m9rhVhVq3RNNdaNlIebezhhcFTxWDsF3vNeTpMNiAX95ifrgwMqt4Jwl8UKvJ+88JAlp/jWcH4CRTm61ktLJRiOx5rvS88cw2gTwu+tuzNqa3hejMk7hd3zMXvEPNP6hMNUvOL4A9E8wDg4OcHl5+alPY3vsY9X3AVfgfYD9IeA7/57HBHUcVZVMmhh43fV3/Fuy0JT2PfZ7otTMOg3sjD1vtVJNfFUJ68F607tGpkywZAcBEdkW1sSyLs97cWdVEMsNZtzr4UpZgOi9BJzX16mHOoPbRkOCJd24Y7v9fmu3IE7podGQjX6zkaBxMkG8vpZg00steKy1hrSqZNFXB3o3n0vQSdfVDKzHopDNlECsqmQzr6SG2QIySta5SRaFmebBe6nv9F5M5diOjUwApZc77H/wXhyfnUvGdiohdgwsCbhUMo66lmREEFOt2GxK79VeLwEGtkHRvzGJPevRNVMdGLxRVlYUqc6Vcs8gdeOu1ZLnzJprPYfIuaP3IioYtx7SrNXVpIsBHJXScu4BwMHxMS55rjwHlfo6yshZv0kAv1ymWj5li5m4AhUFeg0xA8PWi5yAeLUS2S3fISpiCJKhUkKCMd43suh6TyIZwEYjPWteJ6X1ykzzvQWwLXelCoESRgI9MhTeC/jj/MgBfi61zUce2OTJTmAb7PLayOjx51xrqRzIx2MYag3mPkS2vjXytTu/Jj2Xg4MDXF5dJR+CrDzDfBn4MTySpeeaCGyv48r6mJla1grQWB7KyfmsuP5upEd9bjwaFwszi2KbrQiYHwQVGgzOY4yyPsxmxgTHVsuMC00uqlJ6qmDI5qMsreaVxmtmnknGrChElkvDtsFAgLlzIvn1Xlh5fUdCq2XlSJHdQLzWrxcFQghpbR6N5D5QJRVjApr6rM1Uk0BZJdUYj+U+qvEXZjO5/1QKsY84ExtMevLd6XTk766ugMtLjCYTXDPhURSJeee64L3tUeYCf3mZlEqa0AJB/uGhMM6djvxsOk3H4tpKl3aavTWb8rODg3T+bH9JVpzGdI2GfP/1tfz34aH8ezKRe8dkLQH5mzcJ2LdaVsJg5npff516o5+dyfkwyXNy8v45cM94+lTk7NfX8jxPTuAvL8UpXcE3NhvUr16hkRm/1rqfl0WBejiUdqE//JBY3uNjqZ9eLkWNMR4LcL66Eha620VxdSXJ/a++QqhrlOfnqDXecJpMd62WSOBVYeeOjsxbILZakkw5OJDe7H/8o+y7auqXtyD0zqH+3e9QvHmDoF5Asaow+vd/x/V8nnwGsuR6bDSSESv3b12vXbuduhUB1h2CcVZoqAFpqyXxElu98t3QchqUpZUNxnYb7uZG9qfhUIAsy5vosD4YmBlddM7WlECloK5r1lKSypXlUvapPHYk6H6I0SaA3/1dHiM/RtJeFKmd64fsGf+A4x8SU/0C4wtA/zLeH/tYdf5MA/y9wdg+kH/fIKPyIUElmTbNHu4zxbBBQKPsSOh2U03zY76HgTRl02RqKJuKWqdK0P4YUzkgSeoJLJRRRFlKHSFli8p2u+Ew1WxWldRdhpCkWlrL6C4uUta505HNiAzNaCQth4pCaq+9T8xKqyXZdko+222pq/Y+9Rkdj2WzX61kkyTTqjV5jn15yYLwuRAQ5pJTBUOxrhOrFEIyaSIIovP1Rtzcw2Agdfqnp6nWnEEa6zF7PalNqyrph75YJMf5soQ7Pk5ZcsqWNxu516ORBEUa1Pr5HJFsNyWjBLd1Dd9uSz0fIIGzJi7QboukDkjzodmUDLrKPAMZJYIEqgxYI0oQeXVlDDQ3c9domCzeuhkw0OB7RMaI9183b7a4Mik5mV1VAlj/Wdan54Cckng+G30HzISNcvmVtPOL+ndmPEM1Cvu1a7Ildrvy+ZhqjONyKfeC0j+CZoJwlX9HfW8YnNl6xDmYS+UBa/eVM7g2T8k83jX2rHcGtDMm3PF7GJBSMQBslxJksnEAjwPXu/L5D60XJHPKsZsY4H+zlIVzgO+zEw8Bqjdco4FQaMs9ZGsbHrGu37VfZElWMzAMIbVn06SYp0KGKofMxC0uFpak4/FijAJOvJRZEBQ4IJUDNaT1m7u6SgkrlYm6dhuh1h7G6/X7rDqVN5AAOcYoXhDZ/mGu7t2ugChKzIdDhKKAbzZT60uuWZA6dVP86DylqoNKA15DHAySOot12sNhWveYMKRygMmj6VSuqddLzDcN5w4OEIZDYfVpzBljUpVQPUOWnbXXRZF6h282qRyJCbBmU0AqkJjw29vU8o3zk8mBwUAAH8+RbHijkZIHlPAzebxaJYC/2cj+UZaJGf/5Z+vfjn5f9sCrK/nbo6Pksl6WAsrJjEYtBXj7Vs6XNftAkr8/eZLagp2epkQFjc4ODuQ63r1L/iObDTAew/X74kxe17L+j0YoLy7EXX29ln2u1YL3HvXhobx3gwHC69dw5+dWNuG+/RYhBBReDGpjUaB4+VLejX5fkp/TKeJvfiO+MqsV/E8/yTvWaqFWJVQYjyVhvFoJu3xwIKx5jHDjMQLVAz/8APfypcxN7ari9PkEQBQAh4dwP/5obVldUSB++60kwZUpp6GkrTuLhZlIWpcHGrqGIHuxc6ZIMzNENb8NZYni/Dy1N10upVZ9sxFVXbMp928wELXj5aWsYdm6QrAdaNILpFIorkn0aaBqUOXwUJM6V1Xvs+ZMRDbub2121+/MNFOTEHcN+zzX9l+ppP2fZXwB6J9gHB4e4uLi4lOfxsMjD6C4KOwDmtgDyAnoH8Oo8G8/Ith0KjcyFvCuUddwt7fWZzZQ2veYoQEepemUXLJ9kAXlq5WYVbAW76Hr5SKuzJTJmIHEoF5cmHvs+PlzXF1fS/DnU02y9cel1Jou8Aw6CNZubmRDOzhAbDYlEVDXsiEyeKMJGR0xBwORUGrbs9huS62VAljWnEOl1wbgCf57PZknBBYa6FvvcSCBZTJ1lHgTHDQayTQPkixwNDTSazAW5OrK6kItkCKT771kzzUxEodDYDxOvedns9QOjAy9AhpH9+FcUcJNVgMCc2kHAMrs6zqVZ3BO6CZt/60BLvvder0WyrQZ3HBDtRpmOZEUKJMRIChRtcTBeIzL62szz7IMOjfqENK5cR7UtWX5jf2gL0PMylqilm1oW6gtRp6Z+cXCWHTW9keya8pkGgNDJooS2IzNpuFX4H3m/CHg5vUx8VNrxwfWnfJ+6XMxQM57lq89d61blKLzXuUAlyoSPiseJ5eyP3T83RF3ZOuP/RywvxY+P18qafQ5GBvK++scDicTXFDVszsqrSMnOKNyhqw6VVePkU/mayL/lvJUZbasHWKdeZrwHHhNLhkisUvCFsufJRasjRmUeSPIJeOttcgmZadySKW0brVKsm6+e42GGVVZ8hMiyweQEo7cQ3s9MbsjINRSItduJ9NPQI6hMniEIOBb1zgCLVTSLSJQOdCQdld+uRQQWdcCiPj+cy4sFgJ0eQ9ZssJ2ZmwbRkbzyZNktkZGk0k4XYvH4zGu1DHbasjJxseYmHquE+22gF+WerF/OVl1JsMoH2805PwOD+Vn0+lWwttq7Xu9pBxbLgXgs188W8f1evKdlIzTkLWqBFTPZvI97bYwxDSpWy7lmupa6ssvLlISl6U3PPfJJHnE8JhMana7kkBpNmUPbLXgLy6kPC0E2a9XK5kjsxlcUcA1myLh7vUQRiPzBHJ/+QtQVSii9CGvT04A58SfpN2WeumbG0kYN5vSBz1G+N/9Tu6bKiBQ18KWF4UY6H7zDcqqQr1ey57ZaMC/fSvO6EdHIsO/vob/f/9fkdQXBTaqaHCtFiITPd99B9zcSAJMk1Tx6EhakS6XMm+yRIvbbBCYCNbkNjbiNu7UA8KpytH8Kfi8db1gCZq7ukoKproW+brGOVFLEKImIBw9WxpiiOu13Cw2pC0dNH4xvxvtY26S9qqSOHGxEGJIlR7vsebIQLO7p7VZJknf+h1jt7re79e0+/kHEgC/1vGrwVQfOL4A9E8wfpX1EvtkiTl7DCRgmS8SHyJ//xBQv3tuZLuVAbmXuakqC4hityvS7sd8ny6Grq4lUCrFaAWAZS2ZZeV1bBlz7TseAZ8GntZ7k8wmIBv89TUm3S7O1SDItVrChPZ6SdKviYqoCz3WawHqrBffldgeHCAcHEgAp4ysuRwzUGTA2u1KZriuJTgEhKlhJlvl0mb4RAk/QTw0sFUWF4ABPJOJ6rM09gKQQIkBl3OyqYcgGx0lnwx4lEEPKjN13ptRGwjUhkORmbEll9Y8c14YY8x732gIAAGM0TWAn2X3KQE3oENQruDMjKXIrFCBsdlIXbnXlmzs0a1MstMOAOA8yMFgDvyU4XYMuhV0R0Bq0MlSQd9TvosMxgmECnW757moygVAkrLPZsLmUQ5O2XkO/PS+OzXow2YjgYn31l7GgDzligzW+XOVBULVECZr598oiHQxWltAF7XWkveRssEMdNrc43/ft95kLDlZWBs8Rs5KZ0m7rfEhyUfON+DDagM5z/NzyRMSZE85vzh/VyuTTkeCC703e/cqgrv8/5dLqRPnu8kSEwXHdyZyd0e+JvL+KhPlNhszAtwy8ONcns9Ffq/Az2owqVDKpZ0EAVyvdhOqi4UZZULl8o6gimtAQ1pgYqOtNMmUq7cCkxVU6ISikMQhWfR832q3RbbO7hrKuKEoRG1TVdIjHiLRR1lKKQ9r5wG55m5X6vSdE4CnEv84HEqS7O1b66RhyTomqAh0+f3cC+icTmk8DduOj+Ue3twk5/eGeABMJhOc394m8ziu66wRPziQv6dDeozmxI2qstpqqNs9zs7SHNbyJ6uDV+dyS0JzbmuCZivhy6QBjeE6HQHWy2UCyjc3YtpGmX+vl9zt6WQ/GgmrPp/L57/6Ss7l7Cy1rOOaQlm87l/o9eR7ZjO5Tq5rRSE/v7yEXy5RFIXsz7MZwvW1xBoNaRvqGg1RlA2HCN5LYvfnn2XfarWk57j2e4+q1oq3tzLv+X5fXEjC4dkzxNkMxdmZtDfTZKYDZL88OQEuL6VdW78v7/r5uTixP3sm1/PyJdxf/5oSdL2eOam7xQJ+MED9/Dnc27dyTrq/xm+/3aq5njx9ivOzs1TLzaSLJszcapVKRZxLCXVN/Didh7HbTYCUJRGNRpoPLLtotaSMr9PZ2tsifShUhYfFQkD8YLBd0hOC+KowSQcF3Os1is0G9XBoa1egIpAjY83v7F8OJJXW7u80XnF4hKQdkL3yLtn8r3z8KjHVI8YXgP4Jxq96MmXgZQtIc6HQP3vv9znz/hCA5sL1IcFp/h0EUAQU943ZLAHOTkcW5scE0ipDjMrYWC93sucEolpfFe7Lburx7J7F+H4PcgBHBwc4/+GHrc2esmj2bDfzskbD2H632SRGnawFpejqNhu01Yxfr2XzpAyy0UjBWgaaQ7MpwWGldem9ntSqqxIAyuiHzUZM6pjVhm6eGSNi0u4QZBNm0LhcSsBTFFs15thsZFOFMFWx0RBGYDoFzs+lplM356gbMGVumM91qsR0Pcokuo20v4sMzBVomCSfrK2WFhhAW2kPbE2agOzZ7a2YPkWpEbY2YzEaOI1aG7cl0WZCiww3kL6PwQxr4QAJXqIaZG02qc2dssLHR0c4u7hI18xEApMqBOQ6P/NSFpSlOek7TS5EMk763TSKc5uNBDPLpdQAM+hZLmU+5cm3ZjO5JufvubJ/UKdfY8YZVMnDk3PiO0ZZHxUOfAcIQLkOkCV/KBnHxGNVpZrGTDK/JU3nXNgF5B9StpOz8o/97F3sOAPW3WNliRu3WpmHRQRSDfCecXx8jNPXr7eBP3B3Fw9dF0OdudaXmcsyWXXg4YRtvibymWnShp/fe7z12lpcukZD1l52yKDqCEhJUCa5VCYfATOUsx7CCtTdcilAbee6Y68nn1HH9EiGUtl6e16qjPFASlLl6zYTe3yXqCZxTkBAUQiIdy6t/c6lOvQQUmlIo7Ely0WMUsZT1+I7QjDW7cp/c7+JMfUN56CCSPtPm/9Huy1gu9uVOm+t7Z2cnOD81auULDw8TPP1+joBpcnE2EWuzQbq2c4SsFaYJtknM03FynwugPT4OJndZesk1CkbVSV7CaXq3qf2czxOUaS2baxLd05+pnuMGeT1egLOCbYnE5G0v30rID9v/Uk2v9+Xa2I5AcsNYrQ6/sI51IMB3HQKf3uLsNmgAFANhyjabdTjsbDijQb8y5eIbNGqUv7YbIocXfcStvdDpyNAPQSEf/s3q/13b9/KO8qkeVEgvniR1v/hUBjt83N570cjxK++knn7/ffSgs17UXn0+3KvLi/lvfz6a3l33ryRWGGxkHv05ImsFXwXvcfk6Ahn5+cpYa/PiKUsrtORkhrnJPmr7yzb1EZtn8cSSH92JufgnNSGU323Xou8fzQyTwmq62K/L3+/XEqpVV1LK1hVkBkZxbry0UjOlcnF+Vzea/UZcIX6T2TDWGx99+8q1WSZz9bv8jiXiqE79gv7POO9D4mnf0XjV42p7hlfAPonGE4311/9yFl1BoI5A0JpEvB+jeFjmPIPYd93h8phKeF8DKvu5vNk6MMe4g+B9SDtexykTtAkR85ZfbC1BHLSo/e+BfU9pQL7BscIrwFpXK+F9WZ7NcoqVWpOBtlaz7HWb7EQWfrFRZIIM5NMEDqZCNuibBGNT6xWlxLCzUayyZSdks0gUwQFnGwlVtditFSWEiBE6S/v+/3U6ieTyFLSibqWQPviQjbV4TAlDMhmEZg1GpKoYNCeMWWR7AnZCgJclbbGqpIgW1mtUBQmg/UQkGGMuBq1wTlrq2YJBSCxhgTeChTQbIqXgPbkjXoMp0CbG6mB/OydIsvEelsoAHcKRIzJd86Al9O54qgC0PfS6T0wBjuEJC8mo8ogXBmqLRdzBQOIEW46lXr7spTARiWIVhfMZ0QHY7LYDBSUbfezmRjhUdrOfzORk7HDjlLiTFJO0Gm1rUwsfQBrTRd8C/z5ju6y5nniBHi8XJ0jX9eADzKD2z3OFkjntfNcVGb5nl/Dfaqene9yzqX7midnOW/uSqTq++Bj1ps4Z9WZxMMjZPt3qLf8aiUBur5nplzJmffFIhnHdTrGHll3EE0khPVaAA/fRW1/xjp1r8CeRleO4JHPTZNyURlWJqrsHeYzztUHmZQ/ailLzEpe0GqJqSbLePRYsdeTROZ8noB9q5UY+gzYx6IQULZeizkn13Vtu+kvL83vBINBasnG+c/rpIKJfcIp012vU1KI8vfpVPYYzhvK0r0X1pklEfQtAUQqzgTsdCp/OxjIZ1kuxXtGpppMOhl/BUdoNgUodzqpxSePzfNl0o/mmVQs8HmyVzpbrb17l0qwCN5vbuTcKF3/zW+SA32nIyD0+loM5djHG0jtP1mWxdr7LDHtANmD53OEukbRbKLqdOA7HTOuC+s1ip9/Rj2bwXe70ja10ZA68kLaAUadl47S8NkMbjKB+/ZbFJeXqOk2r3PeaW17/PZb+Ksr8abR0gp/dib/f3SE8OwZ8OYNij/+UWTwVSWMvrYkCyyne/pUYoPVSt7RzUZY91bL3lv7d6ORiAlIkiy028JQt1qiDCi1g8FiIftNoyFO8+u1gG+SQLW0K4xlKXOWNf/0dDk8TP4oVSX3uiisja6bTq0tbDw8tP7oTJz7+VziKgJvVd75xUI6N+gac2etOUmSGPfHtjm7vvtzEhvc5/aN7Hv2ur1/ZuOzwVQ74wtA/wRjMBjghpKwz2XsYzsIxIEkRQXek8g/CMBz9v1DgToTBhsxOrJWNXcNlWYbQGk2ZVMguLhvsO+lsmpOgwEDdlWVGByVaD8krc2B26DZxK32d41BHLRxe2sy+y2g0OmIuymZAUA2ICYNbm7gLi9TsESgzgBmNEJ48kSSDyGIWzDZCgab7GerG1VwzvqPmjS0qgQwNpsivVR2FDFK8MnvVwbezeeSxe50ksS8yhzgGRi1WhLY7ABJ1LW0qcvPIwPnnu1PYkymUjxHZuMhElEmH6IGqn61EtO4jPWKrZaw9cq+wzlpVVMUYpBDZtu5ZGKjzD1bwmyZlhHsAyaftvvA5A+l1pzHOUPHdZtsaV2jPxjgdjpNLeIywB+bTQkINcBguzkD72S3eOzpVABDjDLH9O8pnwshJKfkHDDm83y9luCpqhLwpwyV4LCqUjJFQZ0x4GQLc3b8Mcm0fARx/DaJJM+PxyCQ4s/z4OZDgD+PRZk8HiFbz/7exj6AnrfRyRMZVEnwvtNI8K6xe+zs+gbdLm6vr+Ur8vPmeq+M272J1NVKPDtCSEoKnVsOiVUHj3fXueb7AM9RE6QAUpcNrvUs6QFkzqk5YVTjKiYb6b/hnBOATOY7iHu8OblXatBJqXFRiGw8dyiP0YzV4mhkJlH2u8wLwdQ5OVBXpYzjmk0pPdn8qrKkWux0zBDTsZ84kGrlKcknc6qJXA8IUFPFUux2xWPk3TuTybuNGrrxvL3fLj0imGSyR/c0yoZ733yDGYH6apW6VJC5ZqKVoH+5tLIrS7jSL2Q4TPM7U4iZTJs16WTl2fudCQH2S2cyiwlmyr3zd4fGcWwhScDPNe31a2HK5/NUb/z27XaymMwzWfzRSK7v3bukFOC5cB6PRtulPRcXwsSGANfvC5gcDIBuV8oXrq9RvHol83UyQX18bEanXpPSgfO62zXVQvz97+V+np6ivLxE0CRHdE4Y+idP5Fyur0WNQBXCxQU8jeCaTeAvfwFevxb39LqWeGEwANZrFLe3qJ8/F9Xa1ZXsKauVgN+nT1PShtfPf2826PV6mJEkUeVZpOcD905NBri6hjs/T/NpPpckQ97VZj6X99A5ccbv94HDQ3nPqBLUORu1PaJfLOBWK9RHR1J+RuJJE85+sRCVANe+zcY63QRVmDjv97PmuobeWwd+l9xd576107srduTndZ35ZzCC+ywxFb4A9E8yPlc5BoA7awgNbJLZQAbmP0T+ngeGH5oRpCRWg6lHBYPL5VYdYVTZ870B9o78HcrAmFmYbjRs2xNyE6t9Q4PFo+NjnF5cmPmXARYNchyZFiBt/MqeByTmFMB2IHh5KVnuspSgMwTZoAEJDk9OBIiqIZABReeSizzrI7VGyxF8UjJZiylXpPwyRjitG84lvrHbFZadv+Mcoau4miZZTSgligRamu3nxuRmMwN3QdlDN5+b3DwyyPJeGLSq2qrP9ouFdQtweq9jjAIK2DeVCRkNLIP35iSbu0ijKBKjzHnHPu6UUitT5TRAIbNLl/W8VY0ZnfE+qezP5LoahBwfHODszZtUN69z21pCMRFBxouMlUpJ3WIhf0f1R6djngnm+cDz0sTMFoDV+eTmc1GaMJmiZQ2gxJiSPyo3+Ew1oWAAkYHwhw4mczjfdoE25w2TAfnPP3StyZOTwP1BUg6Q94Fzfn73GAQa/HvK7XNg+tD38XP5faDsG8DRkyc4vc98h9epYOvedVzXCZY65KUj/EuTrD+UxKh2TOXIlkOVTDEm5jxXDIQga4Im1yK9D7JzAyCfLQpR8ugzYe2rlfKo6VMoSwFF2npwi32ua0kkEsQyOcaa92zegwoDJnVzCT4HAa2yYnwHw2gk6xNr5+ta3lOuIXlZlHOJxZ3P0zH6fbmHNE+jN4tK6i05QDaYrDqN3XjtZYmJ91KDfngox3n9Wj7D9ZalSwTEVGbR84RO7WTFN2KgRwBr6wJLf968SVJ0Hq+u5WdFIcfLGXkeh/sP99Ks1ACDQTJ6o/pKJdSYzQSY0ySv2UxtQCnpZ/9zJgfGYzn+xYXcU3ZcocM9692vrlDM5yi8x6bXQ2MwwGYwkH0xBLiXL6UVqvdwT56gVof3otdDvLoSL4MYk4HsxYWw6r//vSSSX72S/SsEmd+QeCB++21iZ+lErq3w3GCA8OKFGK19/z28mtVF56SferuNeH4u+96LF9aJA6oexNER4ngsnRWA1E6M77iuG5Pnz3GuxEEsSwHI6h/g5nP5HlU++OkU4fBQukoslwjNJoq3by3x7bxHHI/lGpZLRDUpZAzmWY6lRrLu9lbijqJAPD5O7vCc1+u1nDcl7aq2g0rt2V3lvVpzKqZy1dG+/YBgf1fuzliUcfVdCkzu60Uh3/ehyq5f8fhcMdUXgP4Jxuc6md4bBNN5sMX6TsCMfoCMEXms/J3H/lA2KzsHSo8f9V0hM3+DAFAast3rnMmAlMYrGhybPImBIZmSe8w+jo+OcPb6NaDXbXVIDHSdszYeUVncnE0yIygGtHocbkRusUC8ubEen4hRApHZzHrKRg0yCCYdkEzlvDcGHO32NohScEr2NhQFnDoYo6qEwSFDwvotBZTmyqqbtWu3RSbPYIr1k+yfTZYOupktl8KIA5LFJ4usQVrMWgN5qh7I7nAzXK9hBmyAGVCZMZyy2IH3pK5Nam7PmqymSsqh9xBe64EpQafKAtn8VhWFPVOeI4P+RsNkxJTBRQCIEccnJ5LYAaxvucnoVUEQyZapiZLPfm8t9oDkGp3P+5y9JsBkDf5mk+77ztx2hRp0afLCelIDqQaeyauHQOe+UVWJJafUn88V2PZiyKXKH1On99g68hyAU/WQzSubI/uuN08wcJ6TSblvDXwIkOcJ1J1zf/RelQN1MtO4Z32m2giwem/oeuqApBC67xjA/oQwy4KoGFkupaQmVxwA4j+iwDWwDjlqJ4oQpKWa3pvQbEricr1O3goMiNVnxHova4tBp0nUyASbSprNGE4D/9hsWskM3/UAVfHkvhC1mkAqs2+t4bhW63U4lXY79WkwwKrnjxgFlPAd1vMzZYCW4PizM1n7aYBFRpgqKjLMnM+cZ86JSdzNjXw/3dOfPhVQO50mT5G3b9M6qyViaDYNVGE4TOUuuUkfEx5ZohidTmp7RiM7VQ/g9FTOrddLzussEQPSu0UDPa5hIQgLz7WWgHwwSLJ0OrjTWIwMewiSGGg25dr5zAnAplO5TraDU2WXeYOMRkCvJw7n6zXCzQ386SnC7S38aIR4fCyqtpMT1FHKjdDpiKqu10NcLgWc/+530l703TsBoYuF7N2tliTWj44Qnj8XwDscWszmrq5krz0+Rjw+Bn78EcVPPyFoktr3egiTiczzy0tEdarn/Pe3t/JeTSbSlUCl8Iw/CCSZ5HbtNg4PD3H+7p0lbqIqI9xyKWA8xmQ0d3CAuFxaOZ179y4pKNQI1p2dCah/8iQlwWoxunV1jXo8lthHn0MYDOBGo5SA1nXF39wI8NaYxm028p1q2osY97LmW2z4Xcw4cLekXdd7k8U/JGknOP8nYM3z8bliqi8A/ROMZrOJdW7A8rmPfUEUsG0s53Yk8I+Vvz8W0O8bzExmCYN72TJ+F1kNrQukjHk3uN36Hq1bJgO/5TpP0LBep7pK1qdlY2ve5AxSjNbGzAHSeqRKvZ8dWZeisLp6S5yQxQQSo7oRF1J/c5MkUjRHUslhPDiQTVWl1KC0lEmG5VICROfEjCUEcwdnP3eTeuvGF52TWrCs/y5bDlnwRzOdpvSIR1UlAE8GS78nUuLrpU6f94h9iK3+mUmUUlqg2HwKQST5MVoCwurfGSiTbVEJnJk8ZYCPMl5TEmRsoznBK4iIBF4MzDmF1GDPgBTnhsr0nB7X2oppth7OodnpYL1e25yNDB7Jfun1UYoce710b7tduTdkqzhnsoQbOJdrcWr2VCtQFkrlRibHpj9EpMEe3z+yZB+TeCPjr3PL2iAS9Or92zr2x3wP8H4d+V3rD4F7Bl7sXPmZuz779wLk+87/jjX2g/eq3fX4ofWZEnNlzQ3UlmWa+wrWH9wLdsusmASg6oJS+6LYdm2n/L2uRTZOxp1/H2MC59rv3KukOzSbwuAxsce9QBl9S8hQecT5kDPo/CeXkzOZGqMk5XRdMYaTkluVD9v67rTGv9kUTw1AWHUm/PR8oZL42Gxu9YY3yb6qi6L38NfXIm8n203wynmhe4b1nd5sUDqHivsC69W1tRa+/lr2krdv5Xf9vjDgTHRy3e505DxXqyRj9lLWZfJ6yupZzsR1Zz4HfvxR/rYo5LNlmfqrN5si4W63075RVebVYvXiOWM/GqX6czLqeQLxzRu5Ju9TffvVVVL80BSPiiMys9fXqXZd34Wi1xMZNffS21sUr1+jjhH+yRPUnQ5cv48wHsvzgSqTgvQQj6ensuf9+7/LnnB+Dn9xYeqP0GpJ0uqbb4BOR4DmYGD7qYtRpOXPnsl9+OEHc9YvajGji/2+tEyra4Svv05quLqWhG+3i/jkCZwmXmKMolLTuU4iwVzZVyuU7TY2vKfKmjNp5NZr+LdvxSBPuwqEspREAlURm40436+lg004OZHEiSZx3GoFzGaiGOj3RU2jpo9hPE6kAhPsMaKYzVBrbT0T2kzkRU24vaeCzFlz3e/uUmze19uca8a95ZCMR7i/fEyC+Vc+PldM9QWgf4LRbrex5Abwzzb2seoEyoABIwu0vH+c/J2A/mMXqBx8l+X9gJ/fRSaU7IcCpNy9+L3zVXMiC6b0u01izOSEAg2TYTq3f97kgTaTHFUl5kwa+LnlMsndacrTaEhwphJjyvYtmHZiXhYgmXDMZhIwEagr0xAPDqQVWFWlPuw8prb58mR6uFFS5tZsWg0w6z3NuGWzkc9pzb0FqBoAGigsy9T3WINLS5SQoeLmphu4Y82198nEJQfkfHbK+vvNxhzcI4M4zs0skH7PBIrJCyYyyGpTClyLw74BBp03DpAggoG73hdjxSnbV7ASOx2r4WULQOc94mYDv1qhGSOWlNuSgSoKKVngPddn5bR+PzLQ47zJpYgEHTFKgKb3MnovMs78/eM94FxU1stpXW1sNhOI/tD3NgMG5vqrYMOeP8sA+C5/jFyd35VLz/edL89n9+9i3P7eu86BEkq+05SrP5R8fAwg17/bSoY8IqHZbrexVEl1Ph5UL2U13Kb+uG99DiF1wvBeakaZ0OQ6makMHrU+A2bqSOYuqtLFOhIQEOr98ZlaJ5C5rbZ7rbvFQgBwo2HJvVBK60safIUY4ctS1kWCRwJYysU1wWtybCb/mLDlOpklkyyJpaZb9AYxjxD2eiZYaIiLvet0pJc2XcW5zmotemi1xPWbSV9VVKGqxF+k1ZKE7dnZdhmFJjmNyd9sgJsbNHs9rNlbncoSysPPz+W6tW4aP/0k1zyZCNNNkzo+b/YkZ105mUzWnHINoeM77yuTWX/5S6qfZ8s41sOztdp4LM+diQb2Yacvi+5JAOTzJyeJ5WdCkUl1tmlbr4Vpn04F3HI+ss0aQTvvkSZGoEC19l6cyS8u5PyHQ8SjI5kDT54I2L28TEmrQj0RTk8Rv/kG4bvvBJi/eWNJ9FDXKIoCoddD/M1vLBEOiKIJKiNHu434/Dnc+TncTz9JDNFsShLg4MDUCk77ykcqDy4vZb5OJggHB2bCaoovJp+y5L0le3o9NEcjLAFJri2XwuiXpXzXcolwfAxXiXdNaDZRvHwp+ycTY6ORzCHnENn6jsmn+RxR27S5RgPu5kZK5ZpNMcdlyQjZai3tioOBrQ+MVUApuXNmLGcjZ8q5Nt8laaeiIP98nsjTOOpOSTtLAXicj0k2fwbjc8VUXwD6Jxifqxzjg8ZdrHoeXPlMAk/5IB4ILnPA+jEyH54Xa6bvk7AzsaBBDRMJXJC3zI92g9mqSqDCJ9dtY+X594uF1bMfffMNTrnR7xuZIoGsrdN7Fip1IibrQlZA2WaogysKaQlncm4NjoPW3Xm2aiOTMZ3KRjQcilGMU6O4HNA0peWWu71NwRfvaaMhNZzei1SUUs5OR5QEZSm1y7NZYjg0+Iwq5TYQq8A5MCCkozilzgwOnHoDaDbcaVKE/ZMdGUuoBF1b75GdgvfmwL67sRpbW9emLshZcmNwyfTos4isU4xRAhKV6kWtcQMgAEBrvp1+h7GLyhiatJXXWxQ4fvECp9q6hiycU4BhdYTIkmZ8HxmAE3jqe+FmM2M80etJkJU/c94DlYzSCdxaohEUfQxYXq/lmCqdz8shLAHB6/hb2YRd4Lt7vnyH8rH7nXetVTmYJ9NICeND4HlXTn8XUM7ewQcB9e7Qaz8+Psbp2dn9ssz77vPu3zxmfdZEhQHUfA/gteSs+gPlBHbtmhBDWSZmi8+YEnWCUwXqTllyAimrc4cmHstSwC2TK2R+CdQBqbvNQKfju04QSkDJc6FBWa46AdKc0HURvR7iYiGtHBWgxxjNPNTAPllB70Uh4LT+lnXpTCSozwXG45R0hiQk8qSFX60E3NZ1SizGmNjuVguTbhfnb9/a87Q5y2tqt9M5HhwIOH/9Wv726Ej2FSaTeZ7sEkHGm/4BNF0bDJI8ngkQmk96nxhu9mefTORvtEUZBgPZx1QmTmduSwbQib4sk4z68DDVzROIeZ/6zP/wQ/q+upYEB9fSyUTWz1ZL/q37EDYb2WevruAvLhDmc6nzHo9lrzo8TPXdOs+99wh8Jv/H/wHfbgNv3iDe3EiLNib8QhAH86dPhTXXhKZTF3MUhdSLDwbADz+g8e4dKp0jrtsVp3QqNk5O4KpK2qSVpZxrvy/JC/Wi8ZSA54nK21vETke60tCctN+Ha7elPd8PP8g+TiO4N28kfuj1kuJqswHOzwVsr1bC5rdacKen0q9c28aawvH2VpLXw6HEJ9Op7K+Dgfx9UVj8EwtpZRiYQAHMSNK6x3Af28ea5wq5e5Kle4G73g/K1R+UtJOU+SeTtO+OzxVTfQHon2B8rpPpo0cu184DkpxtB5IEXoP9e4M8Zifv+5uHBmvOQ0j1svfIjAwck4kn8NENai97xWtnwKmg3pj8LBN73Ovh/N27LVZ97+DinScIQkhu48roBEA29qqSmmMu9LrRhEYDjvWRykYHmt6xvtB7CaDOz60NWjw4kECCzAABrxq0uJ12NzEEqVErSzNXYyAdnBMmyrkEDlkjT5Z7vRaGjVn+fl/qSLn5h5Ba5tU1aAZnzuB1baoBk8Bn2X6ydyZn1//fMhpTQO5qcau2soCcEdNAzM1mwjiQRaepzGwmskO9Z67XMyd5kwSGrDZX68XN1I2AWe+L03k7GQ5xdn0tARaVDk7bkuQBNpACKT4fQIykqKwoSwlkde7aZwgweB56HFMYZAmUDxoMRCnRL7I2hQxQ+f0fK1fnuAv4EuiSQePYtx7cBRYpoWVgRjnvYxIJjwXk+j2W+LzvfHbHrkJAv+NRe9VjQDf/hteaq6buOkcCalX4mNpI1+L3JPD33cd8jwGS6kOvky32LGHFc1RWlfWhxpbN5wKMISAEkCSmKwqR5Xova47uC8E5YbhVFguvfh2cU0xoMdGWP2NKoXMlBv+/0RCJsK7rpjaA7kW1GqV5n3q1Ry3n6XYl4cB3TBPDTmuz42gkaqyylATAZiMgnN8ZQmp/yeSSc8B6jUlZ4py+IlQ9AalEiZ9RNQBmMwG8T5/KXjKfC8gKQdhj7wUkxyhgdzBIPcZzE77NJrUt02Semduxjdrr18Ky0rvk5ER+zr2l05F1dDSSY9Ahv9uV72SSPFc+sJ87kxFcD3kuNLFjguLyMiUaxuNUPqCMu7u6gn/3Dr7dRjg6Qmi1xOQMkP2T80jnTvHDDwgnJ4j/7b/J/Xr3DoVKpMN6LWC42ZRa8n5f9gZVMbE3uwtB2qetVmJEd3UlLUE1oe3HY2HnWy0B+fO5dCphguPwUOTlGkNYQl0T/bGuBbCPRhKbcB/v9yXJtVjgaDjEGVn821sU5+fipq4Kueg9HJMcjDGGQ8T5XAxdv/461bi3WpKI0l7kdbcr6jklFeJ4bJ1cWG6IWlq4BZZTkATQd55mcHtZc65/jL/uWAv3StrJhgOmnLwr1uTntxRK/+Tjc8VUXwD6Jxi9Xg+z2exTn8Y/3siDtp0AxYJOn0ngc9B7D4vyaIf4uwYXXAZwwN2BaBYIWn22HoPZWTiXWKFdZomgOn//lIHtDoeY6Ybj6eqtpmd7R37tDGK9T0ZyakYTvE8mal7rEAFpL5Q5zVubk6KQVmZO27XR3b2uhSU/O5ON9+hIGAlAvksz0OxfSlmr3SOyn92usOqASfACWWNKpRlMeTFmcbzHm42w3rzX3kvAUEm9t2OwC8jfxpjq/Qkiq2R+Z3NGN2lLmnBOEriTVeF9z4+r8kWnjDfr4SNZdj53dTaPQKprZ3CprAUDm0gZJgM7sta8h85Jnd5qhU6ngzkBFMsB9DvfA9Y6h6mCCHwPc9MyAnU+H85Vzm1OP8pMHztiTAE8WSay7fre28jB7ceOXVCaJWneq9He910PMMdkXJiAM9VAfv/u+yzHQ4mHun5/PXnMyBUCd3zug/eqh8zh9oH5x3yGyQ0yYlxb1fsjZ9WBR+4HyNh5JsH03GwOc06zVl6Zb3NqVvl8CGKA6TYbK9uIs5msq84ZMA5a7uKWS4RORwA9ASqwzTRSoeGcAFm+o/y9Jqyg9zL0enJftPOI3ReoOotJ1W43tVJzTphCaKJBa36ttt1pp4uytOShJ1vu3HbfaEr4vUdnPMZiPk9MO58r5f7Tqfw/1WosJ7i8TBLy5TIBd4IoSurZavPoKCXx1C/DjEO73dRGLW+zpgZiePVK9qrraznG4WFqyTabyfE7HdnDmk0BvmTaCdR5PVUlf0/zuNzbY7FIrdqmU5Ngo6rkd7e3yeF+NAIuLlBcXYkhq4J3NxohQFRjZrzZbMJfX0srs//+3xGePIH/y1/E6FX3Gu+k7ScODoAXL2xv5HvHxHHRaEirtnfvgFevZB4PhzKPBgOZp1dXYgqnyeR4cIDy9WtU3S7c4aHIywlqydjrfHPTqXUAsec1HIqnQ6MhCX/n0Dk5wXw+hzs9lYTB4WFKPsUI//KlzMe6FhVYrwd3cSHv45MnW2oYr4mD2O1KnDObCTM+GEi3mSy+ic2mxBSAxCe8P/r++eVS4i2qaXbWE0v03VFPvrX27a5NXL8ZC+RdJ3bXLi23M9O4v2X/+4zG54qpvgD0TzCKokDNzeLL2D8IdIFtMJz/XAMqAIl5fgzL/bFMWyaJpJTwzmPl0k4gSbe5mVPG7tx7jJcx/5QvaWKAjE3OqvvFQmrLMofRvYP3jUkGssmsuyPI1IAyttsSsNH4LZdvUQ7vvUjanLrHU/7unAQoZELGY8TDQzF722ys5iz2emJCFkJibMm21LXUuNPUjsFqqyVgnc9jsUhSyF7PfudCENaKm54Gdy6E1OqNtZTcIHPZNJ10tVQB3huTRnBrKyTZ/WZTnk1RyOfJ/rHmWoG/C+pi324bM2gMvta4xfk8AQnKutm/udFIkltlxLdkdXyWZYnYbst6w+SBXofda54/kIwLqyo5VfN6aCao3gj8XNQ2cQZ07jOz2fOO2LkwWcOWb3kiBdjfZuxjRs6C599BsHofwL0vIOLnWaMIJPnwLw3I9Tq2QORj1jOqWTgeEeB99F7F9eYeif97Cqe7lFT52Gy2krXmScE1DTsS+IeOxb8l8NU13ZIIO2ot9mG29Z213DGKwac+R7KDVpqlyhqv7c2s5dJqZWu3X69TqzAyenqvLHHF4J3PhM+d60dZClAvCsSbG/iikHp45+ydcvO5AMNWS+S9XHN0vTCgzuPqmh6aTUki1nXq4sEEHT1NdD120HWL0u3LSwG9TLSxzdvNTboW7QaCTicZph0cmLrIJNh8X6pKJOtlCTx/ngAVS17IoJM5L8uUCFmvBfz2esJuv3uX6tQ7HQHKrK1ngqTfTzXlZNqdS7J1JgfYFaTVSkkVNTVDUchxFgt51proAJ+Jzq2i0zFHcdduI65WqXxMn7P76SfU/T7wP/6HJMl//FHm1maDAgLm0WiI+/lkYmq6UBTws5kA3aIQNUSzCfz8M4rLS9RlCT8eS8uw8VjaCS4WiC9eiAu8rtH+7Ewc3odDkbRTPULFWC3maf72VnqRM7nCeccyrtXKwHaxXiOenooU3XsETaq762u5X2xV1+mIhP76WpQD/b6sJ8rYE/CHdlsS/UxODYfiLK+JMapZ/O1tkrTHrEXjRtvhtttJhZetcSZTvwt87/vbbDglCUgcxLsS2o9Ipv4zj88VU30B6J9gfK5yjL/LuItVz3+u7MQWAH2M3PFvkQftStOB+41AgPcTCsyaZmDdaiajtEGDS/W7R4eHODs/T3WGQKrLXC5FAqZB1kM1+lZjr4GdGadReqjnGzsdk6YhiCMyjdRCWcIrixzUJdfRtCszy4rTqTilVhVwcoIwGMC3WpLpV5OdOJkkwE35vTLPaDSkVqwo5PvUsZUS/FiJaQyDOm7WbAdkDqusWQQEQBNUAhKss66MzBTBgAY9xoCSvcvnF5+dOiYHZW6s9Zmy/+bIrM/dLZcSKJAd4hxmIkEl4hiPTWpHR3w0GhIM83OtVpLscf2uaxxPJlJHzEEJ/GYjwZGaIFlNHQNcBetOOwtYkFsk0y+rxXsIIJKtzkseFBg5sjw5S/8hQP++QfDB7+TzozT1rvO+b/3ImXedH1T02DHvA78fA8h3mN9HqwfyhMRHrHdbexVLL/ABaiTOZeDh9ZG/f4xkXlk6k2aTVVdQYgqmLKh9MJnKsiK+t0yQApYQtWSaJvsogY18f1Qizo4MfLeC9/Lu831rNsGOC1ETpUHlvk6NOB0gACEP2ulgznc1LzPhO1pL7XXo9YTt1BIVGteZwdV6nTxEDg6SYWehPiRcj9lWTe9VbDaF/dTSqKBu91by1OlIDfqrV+ZDgX5fwBId4Qm0tVe7u71NhmXcOw4PBZTp5+NgIGCJiTUmMapKAPZ6Lcw75w0BEUuquH63Wqn9G5n3w0M5r59/FtafDPzRkYBoOkSzM8VkktzXmTQhUKfqoShSgoK94vUemjSf/dOpPtAEgmu1pFSMsmdNINPgrvj5Z1TffQf3v/1viH/+s3VNcSqzj86Jj8vTp7If0nuBkv/DQ3FzHwyktOrdO9lrJ5Nkfnt4CH92JkmAXk/asD19KtdZVcDTp8Kyl2VSQvC/sxKROBjY/Y6jkTzzRgOFGqHGXk/29stLTNptnMYooDpKKYR7/VoSwazRHwzk/YhRrq8U35jQbkvtfpYciyHAX1xYgiX0eravR50HfrUSooFzSuexXy7l/Jhs2V2zuJ7kpnB7BlnvrbWHbDgTjA9J2rkW/a1lXJ/p+Fwx1ReA/gnG5zqZ/u7jLlY9Z/AIHgiiiuL+GsfwgMnRQyOTOgO4PxDMGfwsqKfDt32W50uWTMHh0fPnOH371gJD7ASTFkRqgBjYW/auofJbc1hVWaOjmRmQnOUb0g7OKwBHWUrtOqW7KvULvZ5I8siCs90aZcvX1xL8DIcScB0cyHG0Po8bOHLg6L0EcAzoyPrwO7THqitLAdK3t6nmkJteldyUo7IUxsgAFuhZq5jNJrHV6npsQTmVGpuNGNhtNhLQUm7baknAENXwzWm9t9aXOgYIVWVKBqsDL4pUi6hzylGtUZbS/k5Z5wiIURSl7bzHQJp/hZrEnZ6azN6CzWZTAD1rugmgd+9Pzu4D2yaGdw2C0F3WtpZezpHSfR7jlwTk63VSN/DeMAEGJJlwPu67nvwaCB4ZMBH0/tKAPPucgf/HrFG73/W3yCCrCsdHR2mvys/hQ9VIeYLhjnOytov8/SM+Y3/DhCPVIPl6ymdFAA7cmSzYWie8T8lSPW7eNgnZ7+JmI50zQhC2TVU0PqR+6rYG5AobHjMD6rHZFFBFw0eaoLFGnPXSlCtT3UJ2Va+Zva6Dls64zSaVI9ELpCjk7yg5PzxMSUDKaKlgovO2c5agjP2+JU7NC2Q+lz7oy6WAd4L02UzKlw4ORH58dpaSXQSrl5fbQH2xEBa9quTzZWnS6/c8E+paPn9zI0xr5t9hvwdSizQ6qKsKDY0G8OyZJC1evRLQP50KuKOTPDtfkCUfj+W8yLzzGsiyM1nOhCrN5Xh9Nzfb167z2HU6cPO5mKPN5wiaSPBv34qD+f/8nwitFso//QlVjNaPu1wuEbkPf/ONPGe2zVNXed9qiS9Lvw+cn8Odn8t+cnIizunaFs5dXYlhnCbow/GxyN9HI3kGbMfJhFQhPcZjs4litUp9u/W54fBQksjrtYDfVkuub72Gu76GKwocPnuG04sL+BAkgX96KufFkr5WS5L9vZ7UwfO9aDTgr65SqYpX09nrawTGFJ2OKAH0vPxsJu0FtXf5VqtELXGIeQwBpBhUE0B0Ub838be71igbbuVtd0nad/eaf3IjuPvG54qpvgD0TzDG4zGurq4+9Wn8escue54voLmxnNbagtnjuxbSbCH8m6RDuWTyPlY9Z/BziTvBOs83l8ZWFcbdLqZXV9LXV7PGZpoEvB9ErtfCODQawujeFUgrGxUrcTSPWkPnyULz/CgN1+P79VoYWGWboQwRvBfGu91OyRIGhyqNN3lfrW62g4GA8elUAtdGQ3qtR+2Fqoy5X68lqNFAzZIS/AyfM4Nt70VGR+kjg2Rm+pdLqenjRsrPMujlMWp1eV+t5O/LrL2bMllWA8tgXJ+bbcgE/UzoeC/3ptOxe4tMmkvZ7RYop0ETsG3kRqCUs9nrNVxdY9Rs4uryEq7bFeBAJUEmyyZzZu8TA4YqM5W7C4zljDL/mwGxKkWiBp52nmTp/5ZB1iYP1B/zDj/0NznI1SCKQM2u4e8ByIFt6fpjGO/83gMfxZLvPQ4AFAXGh4f371Ufo0Z6CNzz9/k9fkxCIEs42ppItkvXU7LqDxp/EqhrYGxeJwTkO0lUU27FKC3dqkqAup6/V28Mm0d6HTFGUSfpOYKKpfVa3nWVlPv1GlGdqAFZi12jIclIrtEsFyKI5r1wTvaAbldMKqsKuL2V8+X66Zww7NOprDO9njCwyty6RgMBUj5Ah3uwbEed0kO7LXLk9RrDfh/Td+9SmQcByXIp4LXRQDg6kvWcpVC8hn4/JXJVAWCGYwoqoesmer2UQOP6R+k8mdPcyZ0JjKJIwFz3KTOKazSkBVwIAtJ//ln+3e2mZEFeMtTryc+ZUGAt+s2NGNKxRzfXeK69rMlmUpn90mczuU/ttrQGcw7eOdQvX8KdnCD+j/8B/+oV4sWFJILXa3gmyblvqrFaVEDqVivEyUTK5MpSjn97i/LyEtVgIKVms5kA8psbUUaMRnLvNSHuLy8Rnj+Xea1JBn97m5Qj67UkqskIq3Q/9nrGtDu957HVkj3v5kbAcKcD12hgeHiIKd32QxDn+vXa2gS6IC70od0W74d2W8q8ZrPUDaYogOtr+dvRyKTpfr0W0iJG+PlcYiLuuSxFUIIj9nrCnHNwHeF6kQP1O9aiffuMKSKYUHxA0m6KnV8ief0Zj88VU30B6F/Gr3vcJaEksw0Yw+iUIYzcJHfHPrnl33JOOfOyL7DcZfAZ7FFCyaBZWWRbpNnXV5kQANv9O4Ft1k3BsXNONue7atWZ+GBNp9ZJ+s0myRj5HWqAFhUAWwDqpQWZU5Mcc0oFUknAaiWgOwQJXjRYwGAgwQ5b0rDucDiUzVcliaHdls3+4kLOp92WIEI38MCNrZA+pebWrGyJzYNMHWABrXNyThlr6tZrabeU9et2Op+C9+laWQPLhAcggTePrSw8ej0J8inD1GDfNm19Bp4mTt2ufC9lmgy6c5BLJl7bPbFNiwFyXj8TFzo3AwNWIIGhR8zbLQBLNlyTMZHAmZLbzHH/o8YueGRigffiIUD+EEDm8fhdMZWfvNd6bt/4WwA5nwc+QLq++30fs1btHuMxiY08aNy9xsfI0vecw70Kpn1A/TEJAR6XoJmXmJU5GCtVqy9IDrrzoTJdF4Iwi7x+JtJ22X6d95SQmyyVCQN9t63W3nsxsNLPu8VCrq3fT4ZghdYJey+eI1Q41bUlTB3dxkPYNmbMkpV8H2O3K8CnqmQdJvsJCNMPCIBn+yrWnecARe+LMcr6vTQCi5CkBNZr2RfyRCIg7ObtrayPT5/K8a+uhEXWhAKGw2TGRkDNpMPBgQB9svrHx5YwYZmDmdGR4dZ2meh00rpBE7fFIqkRmEgoS2HOyW7/8IOw/s6J0oDnxOR0tyt/H2OqN3/6VM7h55/lZ2WZZO9cd7yX66HknknB6RS+20W4uYG7vAT+9/9dar6//17m0HoND6BmEkUl7ZhMRNkVxIfF1bWUkG02KMoS4foacTaT5/fVVxJPLBaoRyMUNzeoKelereQZXF3JebNvPevzNRag4gTNpjD5zaZ8Vp+LJYEWC/ldpyP/P50CMSLoHuydAy4u4M7PEZ88sQR06HRk7280hDXXdzd0OnDTaar9BgDn4C8vBVz3+/I3NL3VZ+2qKjHjNKBzTu6Zc1Kul68tO0z4vUZwd7HqOQlEr5X7JPHOpe/8WAXUl/GrH18A+icYk8kE5+fnn/o0Pq+RB7q7i2cujS9L2ZBqaa21t13ZY6SVH3pOZF72BaO7iYE86cDNra5xeHiIi+vr7X69WUDCuvX3GCNehwZZTuvMw32y4h0GCc6J/FIZSzNR0WCDPgB+vbbepo7ywbqWgLPblQ1dGWYXgsjVKLmezVIt3mBggZ5lt1styZyHZDYTmk0xuru5kXvX70sSgvdfA1BL1rTbiTEB5Ljabsc5Z0yvsWsxWrBnzvdq7GL14RowOL32LdkzWXk+MyYNGg0x3yGwjlF6Gjt102eAybq4okjnTXAUoyQlNGiNMSbDuIwJnwyHOL+8tGfCxMsuMLe5koOvXXBMkM/zZuDPec7EAa//Q8euJF5/ZgkDJgPueicfApr7mGK9f1uJvvtA9t8CyPXzH+S6vnvOH/p9d7Dj9x5DPzM5PMT5xYX8bB9Q3j3/j1k7HwL3/K78nB9TnsRzYSzj3H6VEkE3JfB3HXO5FMk6Zd8E+Pk7x/PNk8Eqfw+AtbYyVZHuQ3RJNyO36VTOVx2lrYa41ZI1VL0rQJNPmrQpyLH7ToDOZ5Hfj34f4eBA7qV6mFBpxpaO2GwESHc66VxCEMM7PXZcLuV61mtTHx0cH+NCZcmuqgS4cd5XyQDPOn/M59ICrNsVoH51JWt3s5naOtLEDZDfaSIDgDDc3ifjN6q/uI6yxp1g0rnUkjKExLJfXprzuJX7OCff0+/L79+8AV6+lHM4Ppbj0ImdLDl7stOU7ulTuTc//ZQUAJReh7CdELi4MAbdvXsnyZ3/8/+UXt6vXskepeuHj6KwigcHcCcnCP2+OJVDEiRhMkndT1Yr8TS4vJREzfFxKsPQ+MBreYYPAXW7Led6fJzUCp2OlEoxobVaieyc62FZAtOpzBWC6fVapO96j93trTDpzaZ5xPjVCnj5EgejES681H+j2ZR3Y7kEBgMxzasqY+z99bUloyIgZSbzuRnQsc0a4xyqEciMO6ogQkg94ZkM17EFxu+SrHPc9XtNtLM0Md6lHstBPOOOL+NR43PFVF8A+icYn2u9xD/M2AW4GTO4BeKdmqMBd4PVfSzOxwwGmTk7ue+Y+fcBWwZ5x8fHOHvzxoIMY4CzQJRS96jfx3rDLbkU2VrtDxoI/vYNBZ6urpO0Psv0O+0BbCYuDFZVIh83GwGh7PnbbgtQb7XAVkAApG6eTAfZ8xiTKY/PzFiyPvDWs5ftfq6vjUG3n7MOX4MUSwi4VEtpcnIGs9yQyZBQOdBqSZC9XlsP4ZCDcDoGU2bKejhl1HgeUWtG6aIfylKCOtaSEpznsnAyVYvFlqzWFdJLPhZFYmYyNv/o6VOcMoDNA3eWHyAD5bvgMx8qBaTCY0tWynvwISMHCxw8R4J/MuV3gcmHgGYO/oCUjCAAAdKz+3sBcmA7SfgYyeIOsPyge7svyfHQ+rUPxJcljk9O7t+r7gPXuSLoMeqJfH3ed777gPpjmXueCxNxQFoHdQ2gGac9aypvdp+1qlsCWUOWB5Xl+8ktTQYHTZb5qkLQc2VizZj3KIZUVpvuvbhXOyflPa1WapPFLhRqchXZXcFJBw7HxCMZ7izZGClD5npEoE41ENu0NRp2PyLZdu+l7pyu83VtnSjCaiUJxttbHD15IklByt9bLUliUjnF8hw+Z+ckyTqdimHdwYFcO2vKCV4VAFoPcaqsCLAvLmSNb7Wknpzgl+sK1/9sLTZpOYF5v59AMtUI3H+GQ/mb2UzO7ccfhVU/PBQge3WV+th3u3K+VALM5wLUOx2Rvr97J89oNBLwyxIxKDB88wbu228Rf/tb+B9/RFwsRM3BtVvX4vjkCeLTpxLz3NzI3lrXiMfHMk8BKRmoKhS3t1JLrnL+2O3K38QoMnfdsyJkTw5PnqAoCtSTiSRabm8TwCUTrYozvofx6EjmoCby2fklOpdan5Wl+CMUBdz5ufQ2H48xOTnB+cuXKUHivYDzZlPenW7XFHih2RRVn5Z6uM1G5nGrlfqJawmB00QCuwe41UrWJXaH6fW2/Xp2wfYDRnBmkJivc2TTNbl/r6Rd3/m96qQv48HxuWKqLwD9E4zPdTL9Q467gsScxdJMsFdJGPLaI459weHHjJxhwo4Ufd/3ZTVP5sZNQzMGTupavCWTzzK+1u9WQZSxyWTnGSBSUXBXME1pvfcpyNNrMSO4ZjMZpuWs+notQWPOYpSlOLyyxtlJmzCobA2UbdZ1qtfTe2ibqprX0W0c7bYY5AASEDEYpCxTv4tsEgN1C+CWyxSIFoX1GXda++7otkyJ2mCQgD6PDWHKUGnLM4gKIGog4ZUFttZ4OZgiyGadpAahVjvLY7MMgc9KmfmtPre1GOgcHx/j9OLC2HgD5QTa+WAgz3+WS7lnUFlqXm5xnwFhPvaBP14rvy+bS3cGQo8BqrtgmokKVaEEfu99kvtfApDnYBP4cID8Id+5m+h4DCDOvs/OcQ/AffRedR9z/hi2e3fcJ2Xf97vHMvf7yo8IzPPEp3uEsRxLebgeZkkr69zAoaA+AtK/Wo0MY6OR3NqVbUQIqXsGNKmg62YstD0jwa0y3nAuOVizxKTfF7ae7ds471l+QhDEdpr9vvSdbrUSQ8/EpBc/l0hfkxiBTkfcr9drUQhEaeeGqhLVzps36fq13peJcMc2kvwnW8fCYiHsaKuF8OwZ/HwuoJymcoOBrD2shd9sUls4Lb3CzU2SZj97liTbNGrjs1os5HNa0mK1062WyM7nc7l3VA0xYdjrJVB/eZlM5YoC+Ppr+dztbWLqQ5DzVmCM8VhA/fm5fO7yMsnHLy+l3djvfy9A9/VrMS2NUcC0JsljpwM8f454dAR/c4OobDq6XbiDA5GxVxXifJ5Kn54/R8z63Zu6ot1OScwQ4Ntt1IOBJNcnEwHzTDiT7e/10n1fLkVlwdp9xifcJzWZTfAfu134uob76SfE1Qrx2TO49RqTXg/nmpwPrZZcC+ODTgee5Q6610XvJenQbApzrns1S7ucKvhipyPnzmcPWA/0wOeiY4s1p7rxrjXlrt/na959kvZMPel0PfgyPnx8rpjqC0D/Mv45RgjbwDRfTHNjOedM+rQXrD6mBvKxg98LJGOoh4LbPBAlIGSNH5kgBXZbCQXNZrM9iPWvBrZqp6Gmb7EoZHPdtympJAyQYNMpCDaJZqWmQ2UpdXGAnHtuPEfZOuXZ3a4EI/rdxvAvlxJEMYgsy+SWq8w2AMmyl6UZ4wCQAFTPJcaYAk5er/fJ9b3dlvNXt1doazhj1BsN+Xm/v11fzWsgmFaptNWea/beqdQyaFBsoMhrTWQGNJjEcPx/bSXn9Huic3I8SPBuwSNrIXleDAj4Wcpp82dKiScDViYz9Ny3gCX7/t439rG3GthtfZZAIj+P3WM/BqTuglPex81GyliA1Bnh7wnIge01BnhYovgxLPnHsOPZuW0pCT6mBOEx4y5Dt/z+fGidOrAfIPN93gHDDzJR+TpKMA4kKWqVeX9Qkq5JuL3JXi3rMeVTvtfslgDo+rQlf9dnSGk8y5qitiHzUAl+Xae661YrqagoOS5LuJub1GYyRjOrcyEIcNU2VEwsRk2oWi22OmTHXs/8RbBc2ve5EMSwi+faaMh5lqUlHgCRwtt7zvadzab8fbste8dqJesygTrXskLd5VWuT4bYgHpVCTPNVnO8L1quZGt2VQkAjlEYbjU8M4DPe0lGn++jqr3QagmYdk4AP5VdTMCok7mVFtBUrq4lMeC9nHNVyd5Bt/duV76715Nzqmvgr3+VYzsHfPst/MUF4tWVnFunI0Zozaa4jx8cAC9eyOffvUNsNlGu16iePUvMrfaY9/M5Qr8Pp7XffrlEUANAp0l5eg9ETYCY+7+6yAMwhj+22+KazgREXQMnJ6L+WK1EzeW9JXP9dGqGjWg0EFot+KsraZ82Gsn3s8Zcn71rNlH3epKQ0JalfjoVdQDvERMzg4GYukUxaAydjvz9cmnO71T7Rb6vOgfMcDVfT3bLQe5aq+74vbHmmii7U9Kek0S/RDz5ZXx24wtA/wRjOBxiyrYmX8Z//cgB+V31k0Vh9Vl7werHsEJ3jZ3gee+5hYBht4spa62B9+tAGQBnANKCz/x42ubEstRkf/S6zR1eJWbmbr5vLBYWYDonrVx8UNduyrqLwnqz06yN9ZNOHW5joyH16F5axJjjuCoAHANL/uN9Yku4mWrGPg4GEnDc3CTJXlWJ23oIAuAJGhsNaV9zfg4sFhKgaABpLAnrvjP2ydqtkSmlNF8DTKsLb7eTqzwg500ZvD5XqNx0S27OawLkPrJeNh/8Pj6bHKhtNiaVHRweyrzJaukM6LEEIWffeYx7jGw4//ZK1HcDDZYW5CB4H6j8SBm2/TwvX9kFRvn4pQA58L4i4b4gaxdcPwZY797jx643+5QEHxEA/k171X1r5GNAdD4+hqF/bDI1W0d31SVbRqNk2smS8/t4LrlcXWvZzbxzdw1VEGV+ISHIuul9Mt7SdZhS21iWljwwhZG+/7HRsN7qjqqixUIAy2wG39AWkN2uyOEXCwHrrVa67kYjmaapoVk8PhaVU61O8vM5XLMp5mOZJB7OWalL6HQwbLVwO50Kq841LmfL+Y52uwjNptWpW39ylpxo4sG9eyefPTkRYH99nfqOZ27cthZcXKRjEKhPpwLgDw6kX7oqmawFnMqf6VuCVis5yQ8GAqTJwF9cyHfHmOrg2VXk8lJ+/+qV3OODA/mHPd3JqFOFREXX4aElh/3FBeJsJs7jjQYKleSHukZ4/hzu6VMBnPN5SswcHcketlwCV1dwpRirhmfPZF+/uEimoVTPjMciZW80ZI/pdsW08PhYkieLhYBYJuBHI1FVaW19bLcR9F46Jp6ZDFW1BZVxsd8X88Cff4abzcQITp87S9T6h4e4rWtJRGw2EguofJ19y5lsdqsV6sNDme/cCzXxYQBc1WaO3WP4PnLO6LCe5BkJct/atNcoTt//WBSy9z4kaY87HSG+jI8enyum+gLQP8H4XOUYv7pxH6ueMzfAdnC4xy3+UYzZQyOXxebBop6bzZvduvh918Hz32xk441xf+u3xUICL6/12jGrVY/qZq3yS2thtm/TUvl7iBFOGV9P0NxqibGM9xLYdbsml2MNJaZTkUD2+8IAaa/aeHhoJnVOgye3WkkQxUCKtXOtlpjRkOUpCmtFxLZllNy56TRt3I2GyNxUMu/qOgXUdZ1atQHGmLvZzFQPQQNnAt3AjZu1nznQJTunBlEAkkwdsGTA1sZNlp7BJ4+dBxAhJOkpsnnqnJRG0LuAAJGfIxDheexTTdwlUb8rsGCSiJ8hK5YDlMcAs11AmwVQdN8FNJl1XxLplwTk2TsKPAJg0tQKeBgk77vPjz3XXwiQ747joyOcvn699bNHXzvHfWvkxyiSHmDo3wPq97Hw+cj/jmtI/t9cS6nAiVF+lpcY5edBebyuXebjsRu0cy4XhfUfB9eqqpIadq3vBmBdMexzVBI5J2w5j8+EaF2LWdZiAV+W0pd9MEBYLqWOnEwoVUDei5opRgGYMQKTibTdKgphJlcrsDWbU/k4/UDgHCZPnuBUzcSsvpZrHz1M+N5q0jJolwu/2SR2ND+vdltA+WolPbW7XWF32aaNoIvmcJuNAGXOK/5ssRAQ3e9LTTjXyvU6Sc1bLWHMCdTZd340ks9RTXR+npznWXM+Gsk1UZr/448CzgcDkYvf3Mg5dDqmbrPkiCqo/Gwmqq7ZDHWrhcbtLarxGHj2TKTc19dw7TYwnSIcHaFotcSg9OpKJN6qpnMnJ1KWdXkJ9HooqwoVIPJvNbdjX/nYbktS5uhIjPtilGTIfC7Mda8nBnAKkuPxsUjV9fsckLxhbm9tekcnZrLF5SXi69dynePxdps75xCaTRx//TXOT0+N+fbX1/beGvmgYDtMJtZG0cr3mGRnKYV6FUQgdUnJFWt8V3fjprvWid2/52AilfP9rv2I4J9/+0XS/ouMzxVTfQHon2B8rpPpVz3uYtXz3xG8VtV2LS5wP8PzMSNnx/V7j548kVri3b/Jz2NfzT031FpMxRAyQzGOWp18q0rcTIHUokhZddZJ2jXu21xCMHY+krXJ2hQ5lYNGDSZRpHZubrkUZsR7AebrNbw698bBAHE8TnX263WSv+tnKKEMTG7w2BrwuUr6E7uiEIkgpWdkj/jcYpQsPFUFyvx4LRmIIYihDhkzQMxums0EArINfwuU61yxAIDSWS/tlpABAGPXecx8bvLnPKbPOhLw+zRoOD48xBmde3lO+lzfk37vAj3gftY2B5U8p32A/DHvxH0gU818DBzex+7/koAceF+6ft+17H73h/zth6hx9kn7/5ZrBPbK549PTnB6ebn/7x8LfDkew4I/9ljA3U7ydyUE8u+/7zvyvyNrDmz5elDmbIqj/Gc7idMtYzrKcMlk5oPrNJBabDqXumholwgrJaLXBkuX+H5UlXhxtFqypvC9915kyWTeuQYDyVBO3cMBpPevLJPJ53CIMB4LeGTLSvU4MaZ1NhP3f60BZ6mYtbmra9mLNpukrFHpO4pCJMplKfdpubQ+8abuIbNNd/nRSObC+bkA5tFou/SoqgQUc32iLJ492J0Dnj9Pru5FIX24nRMgeX4uf9vvp77zrZYw5nRiv74W4ze998a6NxpyfWdnIn+nF4g6qFt7t05H/rssrUOJv70V6fblpQDtr74SpdnVlbDqVYX6xQtJjiyX0he91RKFxMGBgOvFQlzd+/3kuaK93B3d352TPb/XE5WZlnxZu1TtjOKvruR5DQbCfnN/Ut8Gp0o1v1jIexGC+AgUBfyrV5JsODiAB+QamZTQWCS02zgejXC6WMj+rk7vEUgM+GIhyZzBQMovnJP5UtdilqhKE5O4M37S8pOtrj07xm9bLPod6829knZdP2Oz+bCk/ZdYr78MG58rpvoC0D/BaDQa2OTMypfxjzP2yBrf+x2DKLIW3m8HnLsM998ysmCxbDZRscYvP/Y+iWcepGbA0+oGQ6pRf0++v1wKaxOCbPhkgig512CU9Vp3suqLhcg2GWRqL/XQaEjguFikXsKUZXovbPzVlWx2w6FsqrOZ/Mw5hMnEasEdJZGrlYD79Vrq2Z2zmvvAPun55pwbsSlrYaBW5Ye87ybB1xo8+xmPw/tLCbzeXzLW1tqMyQB9Zr4oxJSQ50KGm/JHglwNam2QycufNwNdAv7s+xrNJqrlcrv9m57DexL1hwKHHMTxXgHp+vV9eBQbeh/IJIvGkSkC3hu/NCDXYz6qFdou633Xtf8t7DiwfS+AxyU87ht7wPi+BMGj9qrd0qDHXNNdzPnHJDofAOR7Qf9j1+j8PIGURMhLgYoi9TQPISUB+W7nzD6TvCGkVp+7HTT4nRCgbq7u6sBO6TrnU+x0rMacMvFIY8tmUxKj7O/ttaMEDcSWS5GsN5uyHs1m0mudLc44+P6xq0W7LUnUfj917FBDydhqoXQO9XSanLh1n4llaUlKA/d1nczeCG4BAYaNhkidFfhhuZRjcK4ul0me3uvJ705PE0PO9YXz8vZW/r7dTu9jXScQfnSUQLf3AqzX623mm+Zq19cJiB8cyB5zewucnqbv0BIqUyZdXQlQv76WY00mcg5UH/T7wHSKQsu4/GqFzbffwj19Kialei8wHJp5m5tOzXeljBH1kyeyd06nkuQYDER51mwKA//unZwbS628Rzw5sVZ7sdsVJroo5HsWC5HMFwXqoyOg35dkEVV5+g7RkA3OpQTS7S3cmzfyrMZjeV5Vlfxm2m24sjQVWjkaob64kL/pdMyYELqfB+1L71Yr+V5NFFlpR6MhyfXNJpXTAanrQb5e5Im0qrq357gdb59ipyyTWeR9knZV2X0xgvvlx+eKqb4A9E8wOp0OFjSy+jL+ccddDE3+O4JXZae3gsEPrbN8YHTKEsvFItVHYocpvytQ3ceqE4AQZGkWfStYrqrkNkwZdwjC/hRFun6y6rusPMd6LbJFlbvHzUYCh7IU1nm5FHY6RtlIGQxWVWLQtR48Ogd3eirBQKuF8Py5bN6Uq2uvdguOec38h89xNtuqn4ytloBmZWhCXYt0E0jGeQTa3ISV+TdwSFDpnNzvvEWPSkItmcN6x1wKrrWEW2ZF/DyfN2BmPSZ7D0GCL6d93Mty65iddhsLNfXbGo8BQDmI3gV1eRLhoePsA6g7SSZj9vi7/0pADiQ1Ah54Z3e//w4lyUeZuQEP36sPHftUEY9MonzwXnXfmnnHuf2SdepWIpTfr/uA+mMl9jsJz62EhCbhrPb8rp8B6RgE8wTqgNXh7j23EFLXDO2FjqpKBm4KDgy83t6m1k4hCAhqNsUBnnuW95KMXa8FXKuBlyvUO4TtzPLkG58Fjd2KAjg4EBAIiFP9col2q4VVXSN4bwx4dE6+l+scIMBdy6MQgoBBStTV3Au9XmqpFcVbxK3X0uubQDvGVPLUbgsbfH4uQJjHYeJSy54wm6X1VhPDuL0VID4YpB7njYYAa7ZE22zks5RnX1/LcVqtJGOvKqlBZ6/uZlMAce4yT0b95kbqz3XeoK5F6dBoIP72t6JMmE5F5j2fIz55IoluQJIBRZH20+Njud8XF6hVcu9nMwG27TaK62vUz55ZRwDfaiGMRlJTXpYIqtRAp4PQ66E4PZWa9n4f8elTUz64IjNLrLSOnKx5KR1KitevEW9vEQYDeAXOqGtzs7e2pUG9Y7xHp6qwWq/lWvJ68xBQHx3Jz+pazFYBqbHnHlRor3NluV1Vye9yuXmuSNN37F4jOL73exJ8W0z8fZL2zSYZwj5WIfVlfND4XDHVF4D+CcbnKsf4bMd9DFHOSjOYIkDLN7APrbPcM2ze5MFiXiuZbSLGuuxj2nf+1s6PNYreb/dFV8n3ltuwBs80hzPjpH3yfw7K6FUGFgGRpZGhrqokg9QNnOy+Z7DYbMrPmk0J7E5PgRil/+l4nKSLDCopMZzPUz1lJml3rPcGEsuhgbDzXsB+r5dqwXk/9Hq2zN1y8K49gk2W2W6b03re59gc1/PBZ5aVVmwFBHWd5LFVtc2IU+KePfd7Zcr52AWVTODwexnsPGYO7x5rF4DtAvK76t/5t38PQJ6/18DdIHgXMO/7/l01wIe8678kIP8bwPi+8dF7Va5Eesy15H9/F4j+wBKAfWvu3nUReLzp5+5eQCURkFh1soj63e/9TAH+FtjXd9w5J4qffH7x3Li3rNcmq6Wc1tqisbSo2RSVEoG63gvztlB3eGP6Q5B2ZuwZ3ukIe11Vie2NMQFamrIBSZo9HovcuN3G8WCAs5cv5dqVIfVVJX/Le1ymFnFU+1gbLBrGAamve1mKs3iMshetVvA3N3IOBOqUXVPZMBzC5e7rVAEQULNDSF3LNZHJX68FPA8GybxNa7Bxc5M6b6hTOprNVFMNCKM+mch5vXyZ6tlpENfvpzZtV1fyN5S7z+dwx8fSrm0jXUCCKiTi06epFOH8XBIutbioA5D2ddOp7IW3t6KQOzkRr5fpFOG3v5Ve5o2G/A1r5bVfOKrKOqL4N29k3jx5AgyH1hkgqtrNeW9tUElSoNlEXK1kX/Zi+OqpUKOkXYmA0GhIoqHXk7m3WGDy9dc4v7hAvL21ueYaDYTRSMB3oR1oVB1nc6iqUm9z7yXhn8chjJm4djNpd99esiOBt/d/s5FEmL7X90ra+d7/EmrKL+PO8bliqrsA+pc0z5fxZXBQog2k9jdAam/D3+mCzAXc5OBA+v+H6pweM7TmC0DKCBP8Adan3M43C1QZVG6xU5RrlyVCJX3R3c1NAshaIxcAY8MjA0kFnBECcpzKvLf6CmfsS+z1rDev1YwpyxKLQlgeAhY9tisKyZgPBiLNZPBWFJLV9x7u+hruL3+R2svBwCSIdEOO7bZ8HjAJOWWpkbLU9VqSDkUB0MiOtZr6fAkqHZMInY7cQ62zx3wu957SxhglmGCLF+yAg925oAFZZG2fJj+cyvPjZpPAuRrpGYhWFuG9YOGuubYLKsn48WfOJQO+h8a++vEdM0UL8vl7NQd68Fh3KTM+ZuxI1++UG+b3hmoMjtwbgONDArB9yYuPub67wPg/goRyZ41yeKBUYN/fZwqNCKT1E3j4GvkZrsf6GXveuxJ3ro0PfcfuXsDEQVYSExW8uhCEfeT3EswTrDiXgDqD/BiB21tJlHIdKZLZGyW1sd2WtXi9FmDU6Qj7XVVSG67dPmK7LZ/N+prTxMspwHdaDhN7PWGetb2lV+O1MJnIOzObyXEJ5HjOZP5PT+HZprLVEvm7rplegX/o9cT9nSafqqIKRSES+2ZTSokaDVMMuNnM9hGvax0VVVQ7+evr1MKMiU/vBazGCDx9KoCesnR1BIf3AsJVdQBAQHSrlRztf/5Z1qDxWP559kx+rjXwaDblWphkDEGA+3Qq6+dkImZ05+cCxtmFRK8fgwHw3/6bfOb8XNqnDYeIs5mwwus13OGhOfD7y0vZBxoNFM4JIx4C4tmZzMV+H/HyUo775Im4tzebCN98I/e93UYYj+GXS7gYETodFKuVzLfRCLi5kZrxfh/1ixey11FpRiPZEMQIjutNCNKz/OIC7upKzpV9yFWSH3Uu01SR3+31GQUmLxYLaeO2WiFoiZu7vZXkT6Mhkna+46oqYNKasZmV3jlna/lWnBbuMYLLQPjeRFmjYT3Ut2ra82Vis7F2c/8Q6/GX8VmNLwz633F0u13M2Vvyy/h1jofqLumwCw3YFNTlTMsHGSLhgXmTs+P7WPW7GKKs3vE9d3qCb+ckM55fZ0iu4QTxbr1O16WstCvLLTfjfdlop4xG8F5qGVknyaSDSredBvGx2RRwv17Lz5wTJqgs5WeaaQeZF4JssstO+6JnzyR6n2TnZNyYKCCoc+p0q/X07D2/FWCXZZK6EzxRag/sB3JqthRjTIx7HlzwXHLACBgT8dDodruY396+L7nWeWHn6f12nf594776cZ5v3lpNSwfuYhr+Lgw5Ry5dv4tNvku+D3x8qzOO3ev7mATd7jnsnuPfafyie9WHsuq/ZJ36XZ+5qxb9Q75jt7QoX1PJkGfvWA62+TMA79WssywmNBrb9eC736e156yjtTrvxSL1Zyfju9kkZ+tm094LaDLWul0AYu5Jg7ZWC6HdFnBNY076caj7OhoNa1PWHo+xCAGu1zPZPJT5ByXDCragYAfaS90Bwhhr0iNSdZQz1Jr8jN2ugDktkXI3N9tGd/N5qhlnTT4VWZtNMozbbFKJ0WqVasKV0Qbb0gEC4I+PExjXBIIBdSYwqDZYrxNQ73blb969k/NUQzzbO8jw39ykMrKjIwHJs5n0RS8K8XY5OJDj0eyu3Zb9r67FULXfF3CuvdHpQh9bLQPq0DIL12oJWH71Sn52eIg4mVjpGPf46JwkW5RJp1owVBX85aXFA05VHdG5ZJanpR4uRil1qyph/FnWtlig02phqeqzcHCQ2rvp8/arlan44L3I9/Xem8yfSbQ9LPne9mj5uAO82+cAud98VnesBYji7/NLdNL4Mh4enyum+iJx/wSjLEtUu5LGL+PXO+6SjgMJ6Na1MLPa8xVA6lG+73N7xqPmzW7ioK632ai76tTvSzhsNsKaV5XVgW8ZzzEoUCMgA7QE15QWZkB533c4NY0LzsED2+dIgOK9tT4LRXJQJognc+b1/sa6FpDOoDOqSRNNYoAEdEIwt3veN+ulykBLnymKrDe5c4n1lgf1vut6dp9RVQbweY1MPljNJ+8NA2Zu9I9N6GSArixLVJTr7dTSWnB433iMBFsB+Zax2qcC5DGrRd53rhy7LHlZ7r/WDz2/fWqCDwnUPhEY3zf+bnvVPl+Mu8Z96+vHlA/tq23nce5Ktu7+/WOOrQw5+P9k0DdZazbvZQ1TRRBC2O6QoQDJeqHvlB69V1u/XArLDFgZkdsFxtpNI2q5Edi1A/q+tFoCpJjIDEFY7KpKrLyyiO76WsCkJnEpI/chIOh6GdttuMFArlel1I4y8kYj9bfWxAFaLfMEcWUpteaq7iEABSXQXGdbLUkEMBE7nQr4V/WCU4l7bLcFnKoCzFMRoIkVe/d4LZeX8j2djkje2eKT9/zkJCVP8n7wq5VcH5OUjYYlCDAeC2glsFaVRV4r79ij/tkzuKsreVZXVwKuvRcA3myKfH8+l6TB5aUkOZ49s3Ky+Py5qAgoaddERex0UknAYIBQVSjfvAGaTVTffANfiCO722wQul1JEGgiyNhoXaPc7a34AmjyOq7XMudaLdS9nhyLSWp9Bl4TGZF7xGyG6D1K3f/DeAw/m0nSvdMRBYiWWESvni40K2Sine+ASt63asu5792XbKOiIl9HQjKQMzXeXWVeOn8cr/fL+C8bnyum+gLQP8H4XOsl/ulHDgz2BYwEuoBsOpTAZyDhvg3kg+dNLsEEtpMB+bnufud9NZ/zOTyQ+p3nf6MbOoAkZ6O8bLORligq144hvG+qx2PoZpyzOWg05DM5oKrEoC5EaWOEohBwrVl9UytwkwUsKLaAjBJxPdaWm3wlPYjB62VJg7JBBtgJRhks5oNgjfXqwHYdHMHyXQD8MaBgH6hkMiRGHB8c4PT8fJudv288VD/OwTpAfuVdrc/+3oBcv8OSA8DjjNvIcP3S7PaHXN8+MP4PVK/4d9+r7gPfu+M+VvtDjsOxb527D6h/SDJg99g7rDr/38ptsjpZJge3WrGpVJ9s5lbd6z6griU7ZlKnqiqsVmYeF5pNSWSuVvK9jQbMDbuqhFUlI6mJTczn9l1O69RdjAICLy/t+ybPn+P84iIpiepayoYGA1mzy1JYVoLYokg9tGczY7ejJoS99wiAGZWyTAqzWUpo6vqzZXY6nxsgj72eANoQEGmMRnZ7Pk/MKJ3l12sB0kUhbu4EfJuNAGsy762WuL+zZdh8Lj+r6wT6uV+0WoldHw7luwE5Pln79dp+5/7/9t4tRratq+/7j1Wr7tXV173P2YfvGD7HOBEEFBPHQiK+xESYWEnwA0pAkQPYCjG5KKAoFhgpkZI82CZKlCgPyJJRHAsZ8C225CQGK7ajPACxMQTwBT74gO92zum9+1Zd91pz5mGMMdes1auqu9fe3dXVNX7S1t67ui6zqkavtcYc//Ef19f8+QyHrBxrNuH394NSLLSSiSO8Ozjgz6TTYbm6zF/37TafV1WGP52y7L3X437x4RB0eIjs1Ss2LdT2KamyL7WVaXuAtMIFJQJR7r1ycJBPh4k2wn0io/5krJ5fLJCMRtzaMJ/j+Mu/HKeDAWg45DaGNGVFnMZhrcbj54Dc5V1UF/Gm2NLvb1kveYxK2ovnbz02p5FLe9k5HlJhl9g3I7jH57nmVNaDbhjvCk3wgBu9j5C/nSbHsemayOzIs5kKxUni2xD3bkaJYEii5YR548Kz0PMJRBfEnU7oRSc98WVZ6CENGw9xhUR2z4OEe7EIF1qh75JyAyXf6/EF2GTCVXvt8ZYea+/Y0Ry1Wp44a/VWKkJwjuXy0kumfaFapdLkOuzKa8Uky0KPvQfCLHdoP6nSaPBFVBE9qeuFk5PRKlI98fIaobe21crvH31vaxO0YsKryXi8Br1Ale8Mw+Hdn29V35zOW44+A68XmOue7132kMfo7wyw7LsQE/eKFz9T/Zzuu7Yq/edlmyh3fexzJvLFiI9Lpcc+ops95Hrfsue57bNd0dvugdxrJE7Gi33t6y76Vx1DgeVNBq1Qa5KqiaZsdtL1Ncd2p8PH62YTNJ1ykhIlo/q5xK/lO51cwTWbsZdHoxGSxEQk6r5e501TnTQhyidI5ZzEYRtpykk2wEmoJIjU7bLvx8EB3//iIneAlwQPAB8/vvQlbj3q91mBBHAiqXOvpcru9vaQjMfcK08865qkUu1VSk/SEz2fL/e0T6e81laLE/xOh3vzr654HUdHnLguFvD9ftiohswKh2xWQMzIcHXFpm/1OifSiwX3iXsPfPQR3+e3four2AcH/Ld8juh284S82cwr6moOp8nq4SEn+SrJn0yAwQD+6orX1ulwdbzfR3J1BS8VZzca8ef46U+DAPaOOTxkZcZoBP/iBcfYeBxk4sgydsYnQvK5z/Hn9OGH7BmwWPAou26Xrwnmc3Z1XyxyhcJolG+O6DlMW/qShGer1+t8HaPnJhmNRqNRPilA1R7SO+729/n6ZDrl78W5PHkHeOLB1RX/LiQJ/w5q37nExFIlXRPvdSoxLSAUxqPFY9p0tN9KSXusutiAysnYPSxBf0BmWnkzni+1EkM2vdjTixCADXRGo7yqrtUVNSGJ5FSV4ya5aSoXV2yCWVbxwrPMuEnfg8zO1ceECrReOOkJTyriofdSe/685+Q6lsIT5RdteoEpFxcqS8d8no8/k0p5kF4mCcvMtZKqFd0oOSJJyny9jjAebj4PEnOt7mhyvSRbLybkcdKl/5YLIHVdDhJ/vWjTz0+fV5P1NYY1K6vjq/5fMF+7ETdlFd+y19fKj6LfSZHHSsgj1QcgScgqxQKQtz7ofWQz5l4J8V3k/Xd5zF0e9wR5tHNVnHyXbW4WWZVIr0viV6HHuUJyHwwai32rhc2AtessO4ZGCp1QVddE03veCJTk2wMgNUFLUzhNOtUkTs8dKi8uvndN4uOkX45NIYGXpCxUGbXnWMdLOh4FB93srNc5Kdc++tGIJeitFldlP/UpzJpN+M99jpN1Ik5+RdGD+Rz0+jWvt9dDAiD0k3uPRN4X2m1OzKXKqqZsKvP3jQZ8lrGEWpJjur7marIcuyhJ+NgriSO8B52f8+0HB/CjESegnQ5XYkVaHjw00pR7x6+v+U+3yz3hV1f8f5W4f/IJJ/KyAYF+n7/TLOPPVhP1RiPvUZfKeKjYR5upNJkA5+csyW+12CRVNgicStMHA+DwEP7oKCjx/Kc+FVQFvt/nhL/V4n50NRkUxUDt6gq+24V77z026BuPWR23v89xMp3ydYh+T7NZ3mOvzyvtXcEIrt3muJPxaRBvmEQM5YLJ3GgE5z0S+Z11+/ug6RSz2Qy+1+P3D/A1RpKw2sE5uF4vV1HoiDaRn/skydvWViTeMeH3Ot5ki43gtC1EjXKLiIJiaXqLsRF2LacyibthvGtiGW6ZKZEkosG9V2WNzuW3veO1aDK81CsJrDaxK/Yw63vQ27W/MivMhZcLaR0B5tM03/HW+87nofc8JOtxlWo8ZnMc7avXC9iEx6FpRd7L5xkk9ip/lx728JqpjIaJErrwb614xCfm4n31Ak4uOhPpnwsz16U/PUipi/LqsmStmOyWId4CgXWS2/skmGpMpQ+NJbbr1viQ/dEq+8UK6Xr8/qLvGkC18WLFTQBgfWL9jJLxJ0csab8txlZ5awDvZkybHi9X+Ercy7SuuJ7i+wTy0WxyDAlzz7UHWPrAtdUnkSTJt9vLMtyyTQrdCNDjrfZ6O8fPDwRPDt9o5OesJMmPtfU6e4AkMlozSTg59p7HZ6laLMvYkO3ign9Pej3+PCWJ9rUay67bbU7u5LjtiHjGu8innRqPDYd83G21Qv+yB0BE+aSMViuXtutxUmeR67mHCLi4CNMFdHY86nWuHl9dhSkk4fe73eb7TCb8Hvb3+X28fp1v4J6d8R9NYDVR1+p57CEwHucyeEn+9TXo/Bz++Bi1Wg1ub4+VZFdXLD+XGMD77+eKsk6He9YnE16X+pnU66w8kFj29ToScXungwO4oyP+3RmNuNdcCwSTCavPZHOHtGouxrCu2eRY0Y2Bfp9HvokMnRyP4vPzORu6tlphs4dGI74fEavfOh2uUkuLQDKZhNYJD6A2GMDJBkpQI2h8E90wdbvVCG5VP7oqAmtseAsgl+kXICkEeFH1GcZDYD3oG+Dk5ASvX7/e9DKMTbLOJGk2y93MVTY1m+Gk38drMYJ5ZxQvLjVp1hPVugvPsvegzxf1QId+c6kgU5YtO7urUZJzywm/XhBL719Yw2TCibpU7X2a5qZGWskn4teVi2kfy+lns/zfKnPW9xAnpFFFPCSl8fsEcsM53WUv9LOGSnXZ93yX6rgmnPH91iUacaIi9z15//3y443jecMhGU2S5QtI5TETcuCGdP3G56YXtXrxHZsD3TcpLvm81vUq3vi+9Pt5psn4kzlX3TXJXpcsr0viV1FMzCPVUek67mMoF28+6VrjqrpubHp/83g5mQSJr9e+V9nk1b7opT71st766LkT7+Hmcx7vJlXRsEmQpmH85VJiIxur2k8ejt/DIY77fby+vETSbrPLdq2GZDwGTk85MW23uVIq0nRfq7HJWJpyoiqbqS5Jwhxt32jk6qDRKEjZXauFJP5sRiNOnmRGeJjvru1MkrSqy7b2onsiXsP5OSe+/X7eAy6Sfx0nhvGYk3AilqcvFlw9TxJOyqdTlr9fXIQKNvb3c8M4VVMlSXBsx2SSS95bLU6Mm00kwyEyMZ2j62vun9cZ5gCyfp83aGo1eJ0XniSsCtA+/3ab1zwc8mcvUnw/nSKZz0PVXHvlSRUWWcaqAlUCaExpy1SjwTPKwSoOco43wptN7iMHQoubSuVJWjlcmrIUfjbjEWuLBV/jXF8HJQnN5/w9yHnY1+v8GrXazRaUqPq9Ej0nx/eJpfD671UqMG1Z0Wr9Mz3ubxtP5jz1jrEe9A1A9kttRL3NN3omY/n4bDTFbggAAFYUSURBVMYXG/U6qNdjOaHKGu84ZmstsSQ0vghOkvLEPT4hrui3X+qHjKtEcRKuhkRRpSg4wHsfnN+9ypQXi9xwTi7KEF1Ekp74Y9lzXFnXBD3uz04SNgGKk/V4VrcmyypBV/m6bp5IBT92ioVIQQHcTBjLesflOwhov5xeSOi67lpxL+nFDscbScjj7x7t9nqZOPBwknWlWLXWXtz453qBretZVd2/jeJ7i+M/pqh4kPvu2kzbJ3OuWueLEbNO4r5Cyr72IntVb/sqeXvxmLhuQ2GF/P3GGsUXJKiQpEdaj4GJjrNqNFhC3G5zn/pwmE/WKPbPqweGrkOVTYsFV66Jgns3jccssW82+TaXO1t7PUcBwWODOh3Q4SEnm6MRV75lI8F/+tO8ufDmDejNG/5ejo74vV5eLh3vfLfL71eOUyFZTGRme6cDP5tx4i8mdPHsdxqP2U+k3ebEVRJUmkz4714vjON0rRYS55Zk9HR1xc97dMT9+Tr3W4+hBwd8nDg74/9/8AEflz76iM8BH37IM9MvLjh5v7jg5H1/P3xecG5pQwK9Xj4nPU2B62veODk/53P+Bx/w5wyA2u0wcjSp15E1GtyDrtV0MdLz7Ta3GiwWbBh3eMiPGww4jvp99iiYTtkcTvv25fsDEZ8XZUPFyzmcOh24vT2OhVYrn+TiHJLBgG8Dq5CSySTErY9b4LKMZeuTCW8mtFrA5SVvmjSbnJxH1wd67g1954rE7LrkPCTe8blFr3mk9SA8b9l1lbQm+HrdjOCeGE/mPPVIWPQ9INuoTjAeiLKLNL2oiy8OFwv44RC0WHDyLmYqNJ2GvsC33s2NL4Ljyk5cVQduXniuMHqKL5QBhHFlpAmZnCw9uBIdeh6JggsuaZIcVynFPAYAnNwvmc/5wkE3BeR3LIxf089YKhOhv1ovtvS59XX08UDoz9Rddd9u5/eXPrTwHJFBzY1qq24SKHH/myaE+mdVBe6u/ePKeAw/HOajgVqtm8/72Ak5cFO6Hm+sSMVsaQNj1ci22yjZwChr27BkvJwnd65ad7wsUuxT1/uVJfG3tUOsSvyJyhN1PSYWDOhWUpLY39g4BYLBG0mPNKUpe2bIsTdU92q1vE9djl9O2nbC+M3oOB78UuR1vXNclZ3P+Xl6PdBwiOTNG07q9vc5UfdsdJroevS1vecE0rlg+EmqEEhTuFevgJMTlr+fnfFrHx9zH/jpae4c3mxysqgbpLIpp4k6Oh0eE6brvb7m28Ql3HW7bEYmVWp3fMzrFqk6zWZsWidTOFy3i0THlzUa3Oc8mXBVvt/nKrvK3EWphf19XpuOolNH948/5ur4/j4b043HwOc+xw7w/T73tgO81tifRTeqBwMk4zH82Rnce++xsZ7IqkmM7zCbseGbesHs7fFnNJmwqoGI55OnKXy/z334Yrbm+n1WgY3H/DmIVB0AktNT/g6lBx3dLnBxwUkyEbLDQySyee3VCDBN8/GhovILGzgiiyfdSJFznE9TJOMx/8w5+PEYyfU1x5dWzVVpoJs12vIB3G18mt6nuHEtG1VerqUAhEkCS+h1jfS9mxHc0+PJnaceGJO4G8amKJM+KtKTrj3W2pcVzM/edWIRX8AS5etKkvVjjYpSzfg2PeFK1dQ7cTov/B3ev16QitzSe5+bf2UZ9+WBL5iTxQJOky2tRuvJvZjY6kVpyXsOUjyt3sTJY5x4ayJdlEqXVcfjpLv4PHeVwN9W8ZtM8u8FuHtC/hgXHbEHQ5xUFSXrb5OQl21gxM9TloxX6VU3ng7rjpcl9ys9Zq3rMV9FrDiSdqCVx8P79qmX3b/Yq06UtxNJBVb9OfRY7WO/D+09F/XP0nGr+L6jzQ+aTtkFXKrTyXjMhmhEcIeH3P+9YJfvxDkeAZamYRQnvA/Hm2D+Vatxn7r8fibDIcvfpcqLZjP/v8jGfafD0vT5nFuXVFlTq/Fr6yafVrvbbd480H74xYJfR6u2Ug2n0Yir1gAnorJRTfU6z/dGdB4SmbdvNLjKK33r4RhSq/FtOqKt2eSEXBzPNfnGF7+YP/bVK/58Gg1+zMUFKyNOT/n9vHyZ90Lv7/PzjMdc6U5T1IZDNpHrduGSBLXhMMwOD2Pg+n24fp/N2ojCxgXEDA7NJhvtXV/zZ6c+Aa0Wn2PHY97gqdfhDg+DMiHEHhGS0QiZmsQlCd9H40gmq/h2G0mW5QpBNXsTJ36dPhBM72STK0xDiX93yuTqRWIVnxIn9arIiQsKMbrxsernhvGAWA/6Btjf38fl5eWml2FsA9FF4P7xcR43enLT3kQgGKaEi7V3mXjo6wFhFmy4gNN+4bILz7ILzRV9nRBpu1a9qZiMa6+6bkYglzbpbPLEObhicqzVidgETiB5b14u8HXW6pJ8WhLapWpdMREs6x0vXuhrpX3Vz4vJ412Shek0zE0OFbbCd77f6+Hy/Dy/4bESciDECZAnFUumbrLRpOP97s26hLy4EQFYMn5Ptu5cdZeK+Lpk+b6JNHAj8b9VPn+fPvVV76m4AarHVOkLx3yeJ5qa7Mjvl87OJiJOlOLeen0+Jd5UXSyCG7drtbit6OKCq6OHh0jkPr7VQr/TwUCOOTo6zi8WwQQ0VFrrde5jJ+JK9mjEFXTtm+504C8vOWl0juXmnQ5XvMUU0muSRTJ2LTrOkDiau0YDSavF/fBpypX76ZRHizUanKjP51zxzjKWhWtS2WhwMqtjQ4F8xny/D69JrfS4QyXQ2rutr3FxwbepWV6Wsaz/k094va9ecfwMh8BHH4H6fa74ezYFxOFhcHwnkbljNmOpfbPJveOzWTgXklS3/f4+V6qHQ/5/o5FXzbOMk/U0BV1esiJPz0GdDq9ZNuf93l4+71w3GsQfh7wPI1YBaW8T9YVWr4PbusxkD6q/yQS18RjZwQEfb9S8T+4P6TkP5wdVFK77/Vl1nzipVzf9VS7tcx4dt9LF3XgybN156o5YD/oGaNhIBuOuRLLzBqI+KpVQxhVmlSgiTzxXusbflxUydsjrAMgr4vGF5Ioe9yB3F/lnfJ/Qj6c96lq9142AVoufSxLuINms1bhSIvdfSnjlYg7yWQaDGTV+E0mkB6Cu7AHdBNCfac9lWe94TDFBvK0nvUx+XURkrCElrde5+rHmdRvy3h6FOMEB8v5WIB8npJ9DYRzcXZ57paJA37O2CMhrm0z97di6c9UKX4wl1knc1/Wwr2JVb7seD4u/90Xp/W2bRqu8PoCbx+N6fXmShvQLBzd2rQbq8Wo2QzKbwalUudhbH/euJwnPqiYCXV3xdBEZ8ZUMBpyQ7e8D8zkaROzR4RxX1YdDJDpPHeCEXTfrRKqP4ZCP4R9+yMn/69fA69ecKH/qU1xxvrzk3vV+n03Oej0+3jQanKhLP7rvdoPTuvOeW6LOz5G02+zxIgkvXV3lcvZul83NnGMJ/dkZ/182hxGN/QQR98hPJnxeOjnhPvXhkKvltVoY74bBIJfeHx3xvy8u8uRae9A///lgYOp/22/LjU8PD1nSfnnJ607T3En+5IRfQ1qYfJLk33GvB3dwwNL/4ZD7xbMMifTh+3qdzeJGI9DZGX/XKiNPU3aSr/M40uz4mNVpInHXdi1Sebp8rySb3TSfI+v12JG922WVhfR603jMSfpiAbq8hG80kEkcNWQDIMjO1UNBf390I2rdcb3sPnHCLqoQQK4lyooKOub2vucoYyNs3XnqLbEE3TCeElqFUGffqNpRvKBUwtixWE4uj6nMioQbabo027tULrrK6Am4OX8YCFJGH/WtB7km8gtnWixyI7VClZzk9UIfesJj1vQz0Jm6S+Zu+lxK3MMOLPeOxxQr4MVe7vv2j8tjggkTeCPjxizy2xL9h979jzeCxCgoIBeLAPLRdXdlVUIetyvozx+jb97YHlZtKBYT7XWmbqt62FexKvFflagXjdtue/4VhnVLx2Nt99GNSpUHy/hEJ8kOiXdGWJcksR4I/cNLx+iiH0qvx73Q19dcte31+DHX17lMfTrlirkkvyQmnNRswgFc6V8sgvw5yPV1s/XFC+DlSyQXF1xlbjbZiG0+59FmgwEn9kdH/PpaOU/TkKiHJLnbhet0OFm9ukLSarEUv9GA6/V4MsjVFb/PdpuT94MDdhIX8zrX7SLRDdE05aq6c1zpF6UX9vf5dbUNQBJ732xy0v/JJ5yof/gh3+f8PG8B+OADlq1L7z9qNfj332eH+eEwN82bTLiXXGerX14ue5+IDB2NBkv6pf88GY3gpWqciQqBrq74s9KN51aLZ8OLtw2aTbhej9vIWq08OZd2Cdft8vkV4O9vMgHVasi6XU7OZVPAy3mXVJ0wGnFy3+/ncQrkLWmTSTA3DL9e2jN+m6S9eJ84Ydee+HWS9tnMjOCMJ41J3B+QNE2xKF54GsYt3IibYk9iJO2NR5SFSnOaLs88f1dy32IPqJMRac7l8vRVJ9ViBausahU/f5wMyuif8LqR0zuw3OccZNbxRfB8nieB+vq39Y7HFBPI+Lmr9I8Dd5tFXpaQr/keH+R4EzlKFxUTS5sQ91FulEn8geXnAx5Xor/jPKtzVbFNp4x1ferrfnbba0os3xh19rbPv27UJaLjqN5vOkWSJNz73WwGRY4qiXydx16FZF42Xks3GOLbRyMkOqqMiJMz6VMO4+HqPCqTdNNRzb5qtfz/RPnGQL3O6xBJNQ0GLH9PEpbULxacqMtjcXSUy8n12D6d8ntrtVjmXqvByfmJhkNeU8Iu805UXYnK1ev1cI7x8zm7uo/HnCirMRrAr6/KoHo9r247mZohY9/CnHMdp9ZqcUI/nfL70E1i7zmpf/ECJAZvqNdzR/WTE/7/dAqaTLiqrZuW3S6rGBYLXrP0qSejUTgfhQ2J8ZhVEDIphlotXpdK2k9OQNIvnki7mV8sUJtMkOloO91c0MRWzetqNe6Ll7YAms854faev0dRY9Biwd+5JNCpc8jm82WztrsYwenGUUmMhvOyStpXJd+zGb+OGcFtHc/qPBVhPegboNPpYKSuyoZxR9bGTZkpW3yhJv3bKvPy0pP9ziTwSlnCrSdxlVaWvU7x4jnufYyTT72fJMAJ2HAItdqSYROA/L1Hve6YTvOET42GiifjdZ9FsQqun3WV/nF5HE0muUQ9SW7OIr9nQl7knRxvxJApxJhKZKUKVmltxc8sy24+9l3FpVGJZ3muWrWxueo+76JPvdD6sVY6X+X5V20+FM8LutmphnFqIidVdZX2Ojk/JM5x33artVryX+xTn0zQajYxVrO2qJ3Fi7pHW5wSaXtRJQDNZpw0EiHx+bhNkmODq9dZDXB6CsznLOGu1bgSPRjweno9lm7rHO+FuJ0vFjxCLU3zTYMs4woyZENA1uGJ2AxvOg1u7vCe37/2xNdqrBSQzz9sCGhLkZ4rVJl1dcW3dTr8ZzbjpDtJOOmezfg+cvynqyuW3c9mLAs/POT3liRc1RdVnbb1+KMjoNPhPnIgmK9hOuXNk26Xb7u+5uq9tDjwi4nRH9gczx0csMlbq8Xn1ixjNQEA127nXgKqhlssuNI+GrEBn2xQqAeCV3+B4ZCr5nru1Q3deh00GqG9t4dRfE4oM3krUmYWFyfsQFChBWVJjPeshtDrImPreJbnKVgP+kbodrvPMpiMh2Vt3KhcsiDpXBp1RsQ9bNqrB+Qjw/TiC3g7qXBJv2SYb+4cSxylarGUjKmEUtYaknxgWf4Z30/67bFYBCf3MKpGqzM6P1urLCqhi153bUK5qo9cb9eLr7v2O6vzcFSpXxrbVvaab9lLXel4I5/Z0ii0Vou/E12fqgTuUU1celwxBspG3Bgb5Vmeq4ptOmXy9bJWnnV96rdtTBUeA4CPiWU96FX64FfI31edF1Cvs8HofM7nAklcnJiX0XSaj/SUCmyQv+u6dU3FPvVuF90XLzD5jd/giq737JTuPc8en0yQqMy42eQK6mzGVd5aLR/HJeePRBVg6rpeq8F98AEIQPLJJ5zk7u3BvXjBvfBv3nAC22oBL15wct3phM1QGo+5t1zOQ77X41752Qx+NOKRbuJ077vdfH66bGb4gwPQwQHcbMby+8mEq/eqACDiSnSackKsbTkq5768ZIf6dhvY32dV2Okp3+fVq9w0rt8Ps9j9++/z/RcL0Mcfw+/thRYBqteRvfde7sie8Mzw2vU1txx5j0zmidPlJW9syPvVsX2YzXjjot/npDrLeM48EW+ijMf5RoWo43ySoDYew6cpJ+3jcRi/F2T78jkmZ2d8/SFj7sIscyKoA7xrtdA9OsLo9HS5Z3xN3Kvsfel3VxL2IGm/zaV9OuX3ZUZwW8uzPE+twRJ0w9hG4ou7MlOhLAtmLajV2M0VgNOqRnwh9zYS+FU9oGkaLgwxn4eLyCXitWpVKElumj7p/eQ5QwUjlkarU6xyW0WqWNXV5DjuT5f3d+eEXB2LAX7tooTuHSfkldA1qOGgGEtp5SiMQdMq913WJw68S5+ZGvgVNyUMYxOs8sW4a6/4uh72VUS97aHnWhPQ4vH2voZyazYWSnvVtX96MuHb1GBO5o9jOmX37xrPVQ/nC1VgxWvSY74k1K7T4ZaqwQDo9TgpHA65fUdmpEPaoNBshsScptPcuVyP6eIDkogZKklfvzs+Bt57D8nFBZIvfYlHq3360zz7/ZNPgN/8TZD0lKPd5tdNEp63PRpxAqru4+pwrkoC58KIML+/z+sSZ+9wjH75kk3ozs/ZbE03A2S8pbrI+0YD1O3yeUSr7oMBS9tlvJpPEtDFBY+MyzKeO97t8uZDo8E98pNJXm2XjYGs0+Fqd5LwBgnA5mveh5FwibrQA3w+0l792YxnqDcabEY3m4VNBU/Ea/Qebm+PFQ3ymcB7jotulzcYsgxub4+Td+95lJq0UCSnp/B7e/y80mpH8znHozrJx74qGrfrzjErZO9LCbtU9lf1k5Oo6W5skBvGE8cS9Afk+vp600swtpB7x02UJMeVnuCgLtVPl6bs5jsa5TNyVf5328ig21hhKudlvqrKD329fjPpKxgTAQiJOoD8eePX0AtEue+tGwyr+sj1NjWdu4eUdanyLBefvpiQxy7xD5yQ34ib+D3Lv0mSZ99q5e7K+t7XeQjEyKZLQBNyuwDaWnbmXKVmmsDSCMmlC/tVVWppq9Hk9MbxaRXR5oAeE1bOYi9sJNxJ6VTcWNDHlFXV9RglSagHS51Rq7EkOeNZ2NDEebHI5e+6earH2yTB9WyW+52023CyGYwkCRV1EpUTNRpwkwnLplOegw3vOYmWz9F3Ovx46VkGpG1LHbnFsZxGIyQffcTv8cu+DADYDf4LX+Bk9eAA1O/z8U5k+xA1GRKe3Y12m5PJ6TT4gZCalkn/NqkqS2Pm6Aj+6Aj++poTae+5v1wVCdfXXOlvNlmmDgR3eBoO2a0+SYD9/eCIj+NjPnYmCWoffQTXboNOToCrK1Czye9P4sHJZ0+zGb8H2SBJnGNlgk7Q0O9FK9ziJO8aDSSLBW8IyPdJ19f8mcls89BnP5lwBb3TYdWB+AyEDd5ajcfwDQa8AXBykrfSSRuEr9dZti+me8q1VNr9uk2uuEKuxAk7kLu0l/WTi2liqb+LsZXszHlKsAT9AXmOZgbGw1M5btSgB1iWnscyyiRhkxwfjZEpcYh/Kwl8WbVKer5oPgeNRnl/fJzQFZJ8AMtmQnHyfJtkXZ8j7iNPkrzCLRWtO7/HMil4s8kXBsojJ+RFFrPZ8utr1UoN/DodrmZl2c1q9yrUACmmXrdk/Jmxk+cqPVauqqqvk6CXJfq3/S7pY9ToUtQsN6S78X3LNglWsWZj4UZVPUm48ql92+KwTUkSRnzReMwVWzl2J9LzjHo9bDAstM0olvU3GnDtNh8vxQ2cZjNuexIjOC8bAR7gRBngzePxGJ6Iq7STCb8+wI9RVc50ysn+hx9yJV6M13y/D7x6xY7lX/oS8PHHnDy/eMGJpxz/wmgtreCnKd9PVAM0n/NnIk7vJOZqwYTPe95c6PXgsgzJ6Wk+8/zoiJ93OuXKfreby/8TdpnHZMLj16Qy7+U2Oj3lcXYZz033+/vwe3ucHDcaYeO9dnXFGyFJwpLz2Yyr24sFnJgBknwfYczaq1d5sirn++TqitVte3thQyXJMrg0RW0w4E3cWo2ft9PhzQ6VpMt89trpKVynA3d4mM+7100cIj7Xy+YD9Hcty7CQNrZVhDGzBQ8EALmkXRQOpRtk8jl4UTgYz4NdO0+ZSdwD8uLFC5yenm56GcaW8c7jptg/GVW4l8aX1ev5SbFgPPfWfVtla1BDl3V9YfE6ZMTNygvhooS8yH3fx2y2POu7WP1/S1O3t6awAfHivfdw+sknueN9rBKIXetXVS1Upl5UGtiM2GePnauE23rNV5la3vazda8nvbyaPN26tvtMN1i1pqKBXqHliQDonGosFtzHrP/PMhARXK2GFy9f4vTNm5vHlNjVPst47NliwW1PahommwGkxmVyHiDZQCTnuOIvr+9Fng4i/hzEzM2Bq9R0dsYy+XYb/uCAx4h99BHLt3s94OXL4C3giPKed33NWo37sXVsXJbln0OrxZsKzsGlKbvDq8ldmsIB3Kc+GPAau13+HAYDrqinKcvvgaV2IN9ogD75hH9+csImeGkKHB/z+1JjNZ2WMpmEuelIU25VEBUUjUYsd9eN4cGAk28Z2+ZarSBpT87O8pnwEluo1fJznrQdeFVSJEl+vm61QMMhaDrlXnTdAK7VOCkWaTuA5Q3syAhu5fFGK+RlRnDRpIJQ5S+TtMuGsi+asBpbz3M9T5lJnGHsKoWqOoAwEzcYuLTb+VicWo0r75FR2ltL4Msq+yJxJKk4uDTlPr2YYlVdK9myxiWK7uD3uZDV549mkUNlmPHzb6pCXuyZl/UBCPOXtX9TP+fgLFz2nenzxc+rEvfi/HXD2BVKjlNLv+Or5OTxz+4jT49fL+O52l7Hba2671371NetqawlSV3enePkVDdSiTh59jLKU007Z7M8odNkPGpBCq0A3nNFHeAeaU2wPM9k195tOBfmcgdPjPk8jMTySZI/XhzUVUJOiwVweMgJ82AA+vhjlmN/+CFckiB58wb49V/nx718iUQTx2gzArUaV99Vui39zU42GHQdBASZNWlS6z3Q73PCOpuFMXF+bw90eAh/dcUbCIsFJ+KtFisGPv957q9vNECvX7Mr/d5eGGEW+vfFBZ4AOF2z+rtMp7mMvN3mpH00YsM53WTodjnRHw5BgwGrDfQ7nc3gWi0kgwFPSpH+fHV2B/E4PS8b+MnFBSswDg/zuJFWOp8kXKmPY1g2f3zRJ6aIJPArZ5vLWqHeOmWSdlnno3u7GMYDYAn6AzKV/hjDuA8PFjerHNRrtZB4epm1SgCf6GV3/J1J4MtkmCpflP54p+ZiRfRiU6s4ug7lvu7gi0U+j1aef0m6vcmEvCjPjy9+dYTSYrFknjfVOb3FdcYGbpHhE+l3Yf15O4+dqwqsMr/UpGBdn/rbyNMl0aHRiFuRyo4368zsVhGt6UYlPu5Vj1tfgLDmcKyVjVH1sphOpyGxoiQJm6ThfBF/FpL0+VaLzeoil3vM51wl1wqv9LG7ep3l2osFz0MXYztIEqpu8OFzms3YbE36pnF2xuPZOh24r/1a7pf+4hf5fi9fwvf7uRncYhEc2ZPJhI+vrRabz00mfMyUfu6wmTGZ8GMaDdB0ikS/4099is3yPvmE5ex7e8D77+fydmkr8F/+5dwDPhjAvf8+98eL8Voym7GMfDDAotnk6r2OW1MTveGQP/9mk5P+y0tQowF88AHHUKvF49SaTdROT/lcfnTE70XiwKUpapeX3Psuz+3UQE6MBV2rBZrPkUhVXq8jvBqr6u+FyN9D/GgfeWHjfel4s8rJPU7YY0l72Yg02SgyI7jnza6dp0zibhi7jCZ7kItIdX8nnluqJkpBNq0Xmu9SAh9L7mU3PhGZmnuXPWSRQRMgF6hxH/ymJOtFAzvgZvVfKgkAwsiatWPhoseF5wMeX4ZvGM+FeNrEqr5XrJCgV5Gnz+fcg13m1xGjm26r1rWK4nG37GfaVhSfD+Q2aJVX2qRosYAX6bEnYpf4so2JaJOXJhM+j4gniK/X+f9StScgr6DWaiyR12Of/j2Z8Bo1UZckkwBOkhcLHofmHPfH93osUf+t32IJ+sEB8OJFPhLSOa5ENxrs2L6QOdvtdt6/TpSPoEtTvr1eh2s0gvxdnfIdEfd7X1ywcdzeHm9mzOcgcT5Hv8/VcqlY03zOj5dYcVmGpNFgCbtsLCeDAX8vKkG/vkZ2eAgSUz31EkCWIXnzhuXs3S7UMd83m/zZZRm70svrO6l+k4wJ9Y0GKx2cg+v3OS7iderGBbBUJV8yFFxFXCFXNGHX2LlN0j4e8+vYRrOxpZjEfQM8134J42F51LhZ5WqcJPlFn6Czscn7ZfO5t5XAl5jKOd0JH4+ReM/Su/uegHVdmrDKhW54v7FZGvB4FfJiEr3KPV2+D4A/+/BdRD2c4XkWC46bjz9eTgDKpICGUcDOVXfgtqp6UYIeJ74Vx7Q5qR4HZ/QylVCVij2wXpIfVdWDoZ2+X1EwIU1xcnyM1x9/DECO2dKylMRqHqkwh/XE4+daLe61lnnsmuiBiJ9DRoiFzdWoMh+8UsRkTo3ofKsVjOjC/Q8P4Wcz0GTCo9KIgA8/5Mr3F78IfPaz/H289x5L10cj4Poa1O/Ddbu8PnGQ9nt73FcuaoJEVVhEyzPe63V4UQag3Wb3+ekU9NFH/J5mM2QvXiBJkjAFREeGaZU+mc1YRaAycpKRaOMxn8t6PT5HLhY8M3445E2OZhNoNnljYDQCDg7gWy3erFgs4Fot1K6vkan5nG4OiPt/cn3Nmw3e80aA9qv7aO54loXN+htjX4tJd4EXL17g9ItfvClpj53b7yBpTyaT4F1gPH927TxlCbphGEzsahxVXsO/dV5sZAgDIB/pBqweXXQXyjYLGg1OzufzMM/WrzItcy70LIbnk8oLgHy+d/TzB0/IV1XHy143ViUAfPGiCicZmxOIqi1LUvh63RJyw3hIylzR4+PdusS3MKbtzmPUNEGTUWGlUt51rvPrWCd/L3mv0H5ideJWKbSok1yjwd4dsxmbw81mbN6m8nRdTzx+rtnkRHSx4M9F+93lvYCIJdfTKf+tcnpZu3eOR5Jp+9NgECraoefeOdD+Pvx4zO/j+pqVYUdHcK9eIbm+Br74Rf7Z8TGo1wMuL3lWeb/P1WMi0OUlfweNRr6hXK+H2e0+SZAMhyzR13Fri0VI5P2HH/JxXc6zTj6TZDzm+wHIJDn3nQ4rC7T14eoKfj5nab7Onu924Y+OWNLe63EPfZoi+eQT/jyOj7niP5nw5kG9zv3mOlc9TZek48n1dZDY6+xy0u9aTdrE1T6MwtOxZ7L5tHb0oFTwi94oS7PNb5O0ywg8Z34pxjPGEvQHxK1zlDaMFWw8bgqJMoBwIg69b9r/rLvpUeUmyCGjBP7eO9wlZk2u01m+SJVd9pAAa7VGK+1aqY7npT90Qh7LTZV11axYui5/Qv95fHGtlbM42VfZnzy3u68pnmEIGz/mbCtlIyXv0ou+LileRZLkxpqaoKyqHlYxlBMlz0oVgG4USGWTZjO4vb2l43BwfZ/P4YjCbHUajThBHI9BrdbyuuPPIkmCC3hwUddqrSTymuBRmgbDNBI3dt9s8n0TGRsmJnSu2QSJE7v6m7jJhJ3cJxO+X6MB95VfyRsNH38MvHnDo9mOjkDDIVej2202gqvVgIsLVpPV65zEz+dBlq8yeH19tNvw7TYn2lnGpmuNBtDpsMT8+ppnjjebvAkhI8JINsUhfepe3OBpsQBdXiJ7+ZLXu1hwZb9e542Rjz+G7/Xgu91g/uqbTY4beR2I0Z0qM2gyYbO/ep2Tc7AqgtRTQCvaGquq5Iq8E241gpNzm4vvF882jyTtpVMNPI+H9arKMHaKXTtPWQ+6YRi3E/eqS0966E8E8hNpWQU9TkKrusAXxwJpslp4nUfvIS+ZtX6X+eyhp1/GFwHI30s06u5G9b3q52cYxuOwTkW0LhmvMqZNW4AajfWKpdv651cRbziWHXtmM5ZXJwn3Qsevpcd9dWmv1TgZ1qq6JupliZZU40OiThRmfSNJQrKbSL+5F+VQGO1Wr/NYNBnPRtrj3m7zzxYLUK3GCafIysOGABDGj9H5OY8+I+IxaWnKkvFWi93X1Rl9MsmN42YzTvYbDZaUA7l0u93OfU+8B4bDvOe+XkdtMIDr9XgjoVbjqvzZGb/m3h5vLlxfc4/5yQmSwQBZr8ej3hoNlu8vFsD+PlfB1cslTZEMh6FHHkT8mUqimwyH3CsP9hiA9KGHWIw/+1ptORnXc+AtcVXakx6NXgsbWeoMXzLGMJnN8vY3w3gmWA/6Bjg4OMDFxcWml2FsGU8ybuKqul50qBmMjD6DnvDFvCfu03xrCXxRail98GGUmKzxQSvkq0ad3XaxEI8Lio3eAL6o1QsRfX79s6o3fQVPMm6MrcBi5x0StwoVK+fretHXjXBbRbsNB+QTMFZ5dZT1z9/l2FLWdhRtLhy8fMlx4xy3IAHs1C4SeJ17TpNJeP+u3wcA0PU1kstLloJ3OsuTO+Rz0hnlXlt8ZPQYjcecjLdaXHHPsjBqzNfrLN0WV28PcMWdiP+eTEKS7Ot1QKrWSZaxW7vKwWcz7t3e32fV1vk5n2t6Pf5ovvAFfj8HB/AvXvCapBLv05Qr7rUaXLeLRCT2mM24Wt5uc1IPcDI/n7O0fG8vH+F2fQ26vOT7HB/zeURmuvt6HTQe82cpkv/k9Wv+zPS+w2E+vk7+rYk1OcebI2Jg50Wir+NVST7H8L1rQq7eNI1GqKhrFX4lxQo5gIP9fVy+fp3HUrwBUFaFF9WcSdp3m107T1mC/oDUbRajUYEnHzcFAyHtlSaAL4DkYvBGnyaQX6C+jQReX/+hWTfqbB06q10VBzp6SGfD6gW5XrhExkhvs8Hw5OPGeLJY7DwAZcmtHuvW9aKvG+G2CqnYqlfHUkU7pqxP/a6qnBL5e4gbTbI1GVdjL32MepnM53xsbDQ4ed7byyXmV1fwnQ5Xr+M+dXHvJpn5HXrKpXobZnR3uyEZ1ZGZQf7daHDlVce7TSahr9rX67weqQKTc8BwyK8jknC0WvAffMDvQavqogpIzs6A16+5an18zN/B9TUn6s0mksGAP49ulw3harUgjff1Oujyko3uIoO+5JNPOMHuduH29lh14Bzc8TH3qnsP2tvjeJpOeTb5wQF8r8efh0jVaTYL7vUkSobE+9z4Tj9P7emv82i/EH/qWt9qBYVaMIlz7naZeWz6pmQZ6sBSHK6TtCfj8eqRg8ZOsWvnKUvQDcOoRqGqHXrSgNAjqGNoypLyd+YC/y64y6iz2x6n0nXth9T3p5I8leBHFf87VbEMw9huSjw1NDFa2adexfRNnd+l7xs6fqzsMXHCfR9pfWzuNpvx+4nXrG7u8zlLsyXh841GcC9XKXMY7XVwAACgwQDJ6Sm/D+2pBvJNC+2VFuUBec99286FsWNeRpYlwyEAcKVY+tF9ksD1esHLxE+nuSxeEm5HBDo44DUOBvzauvFMBDo54WP4ZJKPb2u1gKsrlpjv7XGiDoRE3TUavO7plKv+nQ4wGiE5P4c7PGTpdqPBTvEXF3xOOTxkJ3Y1d9vbYym6GMT5NGUFwniM7OQEqNe5Ui4VdZpMuEdfY0aM3VyzyfPTZaydB6vgVI2g5yqaTvk7080RiQ/9923nLpIRgXHsheeRxF6nrCyZuSoyZtCq5sauYj3oD0itVkNWlMQaxi1sddxor7iYyQXjHx3Po6zqS38bF/j7UDbq7LbXKybx0tdIMp83JPR6oVuswD+widtWx42xUSx2HhkdX4aSpLtYbY9ZN7u8DOe4CgrkfeCr0KroPY69IW5WbSCooehiwUll/NzOsWkZuEc6+JnIXHEaDELC7zudmxu3oxESqbzSbMbJJxGS6ZSr4fv7nHxOp8EkTeXv0L79ep2TaPmMIPcJn7Ek54mMWHMAEu1hb7VYBu89J+qzWVBHwDk2mDs8ZAO20YgTXpk3TjK6LFSv63UevzYa8fny+JiTdiIemab+K/KeALCEngju6IjPuXIOCi1nScJKCpWli6SdBgM+Z7Va3HsP8AaDfi+6aSEKDFLXfu9vSNVLUWVYnMAXTORqRHCy0VIqaZdxdTbb3Ih5rucp60HfAK1WC0PZxTWMu7LVcVM2D1UMf6CVFpUW6sVinJS/Cwl8kfuMOlPK+s11vJz0iHvn8vW223x/rQrpGLRHdFXf6rgxNorFziNT1o8O5BLj+Pa7jnArQwzV4BwnsdMpH5/LHlNhBFyIm1Vr1vNBmvIxuOhN0unw48ZjTorTlJPNWg3u6AjIMiSjEej0lCvR3W6+pk6H++/HY0440zT0l2sPOIEN31yrBZrPg/w9jHSbTrnivLcHDIcsJR+NeHRZknD/fJrCHx2F9gHMZnlvPBEonvE+nfIf8WShy0tQtwt/cMAqAV3D3h5oseBq9mQC+tKX+HH7+yzNl9dQUzjX7XKiniTsN3B5ycl6t8vKgFqN16uJuia23rOJX6/HzvuDAVyrxVJ3Tbx1Qoj3oNGIPw85nwUZu5i53ar4KrufytxVDj+fc9yUecaIl4Frt222uXGDXTtPWYL+gHQ6nZ0KJuPd8GziRi/49OIsy/gicTZbvkgsS8pjifh9JfD3HXW2KhmPe+h1g0GM8NR1NrBYbNxh/dnEjfHoWOxskLKe89v61NdJ48tIEq6IFqXnZY+5x3PfiJs1/fM3xmLqcVrGkDmAN2tVGg1wVb3bhe/1QNJrjXodLk2DWRvabTjtl240OGlWJ/U0RTKZhAqy6/eDG7gXeTy8B11dgcTwDTL2LJnP8/ns8rm4vT0QEfeVD4e5I3utBlerIdGxY70eG5sRcR/75z7HiXqvx73i4ixPp6egqyuWeb94Ec4zaDbhkgTJ9TX84SF/DvU6aldX8JMJ3IsXPJN9OOT16aaxvE91YyciTs6vrpA4B7e/H86nrtVaOscFh/QkySv2aXo3IzhVSqyStEdz0uEcOvv7GBbPubMZb1ro92oYBXbtPGUJumEYD4tenGlvpCTq2rsYJG7F6rtelGovO1AugS8ZdbZyp78sGS/byZ/P87mw0nu4dB8dRWPjXgzDeBcUJ1VEc8hXOqmXTbdYpzjSkWdSQcZ4zI7dZWqfKj3w6x4r6wpyaU3Upa8Z4ITQ1ev8Xubz5RnpjUZe+V4seARaknBS2Wgsb0CIIzmJ7NzJfPTgGi9j1NRQDa0WbxgMhyBxXoc4qSejET9fr8dVcee4on1wAH99zVL8eh0kcnXXbrP0vl4H9fvwoxGvYzzmvy8uQO02J/CjEajZ5JFp4zEymTtO0ylIpO4QB/jk9Wu4RgP+/fd5M0LOQYmc08h7/ixkxJ1vNkHec597mnJPv8ZIbMRXcEgPGyQqS7/NCE4r7UVJeyxzl+cCylstktEILk25lcEwDACWoD8og8Fg00swtpBnHTdaYWk0WPo+n/NFS5qGHrml+wErJfDBbG1VolzsMwdWj2LTCwjtyUuS5aT8oXvi3wHPOm6MB8Vi54lRkLIDCFMglpzU42T8PmPaok1Tr8dgTYbLjnMrXvdOcbNCyq/J29L7k0TTq9mcbOgutQzJut1sxhXr0YidzZOEK9RqbCbrJJH3U5Kw1J0o9JT7bhe+VkMyHudmZUC+gdxowHU6/P/RiBNRkdnTfM7nsfff5yr55SUn8GoKqgkxAOztwXe7bNynJnfTKY9xazT4PbbboDTlcWv7++EcmEwmoKsrrry3WmxuV6shcY577cXMzUvlO8kyXrM41vt2mz+PyYQN81T+7hw7pDebS3PIvWyC+CTh72QdZZL24m2invPRuTfEjVbuW61HbQcztpNdO0897SvOLccVkwPDuAM7Ezd6kSYXbslgwNVqldnF9wNKL1YD90nGo8eQmPx4NbPbooS8yM7EjfHOsdh5opSNatOqOlCejN93TJseh+fzkAzfUAwphdd190mqVqyrNFEvzmt3juXfznHyB7Chmxh1Qnqwk6srAOA+a+nZ9s6F3vZkOuX7aj/3ZIJksWAH826XK9pZxlV8Iv48tCde5O24vmaJu7ixkxjgueNjEAA6O+M1SZU6uMpPJrzmfp9l4/0+z0JPElCaItNZ9sfHLE1Xl/Ysg3v5kqvhsxkb6slnXxuPke3tIdEWMoDnrl9d8SaHONYn0ymrAnQzZzbj3nRREoQqeK2Wm7mtQyXtcVxpgh/J4Wk+Z4WC+M4ozjmbbW7cm107T9mW1QOyv7+/6SUYW8jOxY04yrp+n1129QKoaOwmCbQm9ZjP8z96QRn/KZN5TqdcCRkMAK261Ot8sdVu54/dsuQc2MG4Md4ZFjtbgB77koSVRyoBl+NVuE3bfaSK6WPJ+LoL3Hqdnc6JuD9ax6GVPUak6vuHh3wfVTPdhbJ16cgvvU3cwpdmbhc3TfV9ygxxyrIwRgwiZ1fTM8iYN9fvc7KuRm5pms9PPz9HAk5wIX3sTsbUkfa4LxaA9JEDQHJxARqN4MQzgAC4gwP4V6/4MxkMeE45wKZ23W6YB0+zGZvkNRrsrJ4k/NhaDc57JG/e8Ps5Ocmr0OqkLgly1u+z2ZuOPpP+eN9o8PuS78/1+3w+FCM4eJ8nxmriJp/prcm5Ks1i9/Usy+XwMtJNN79RlLR7j331pmm37x43xs6za+ep7bsKNQzj+SIzY0M/oHN8wSUjXwJ3TaC9517yuJ9dnWvNJdYwjG2jrKoeq3/K+sWLEvV1CqH68nx0LBZsUlbW266ve9dq/arXKsrf4/eh49mkr1lfl5zj+4kDORoNHkumRnOy4UCDASfOmig2Gix1n0y4gi2mn77bhc8y3hyu1YLsOhmNuBqtUvfxmNfU6XDy6T1XusGSebRanJzu7fFzX17ynzTlqrpsBpP3XMG/vGTTN/ksk+EQmEx43nmzydVv2VRwzSb3xDeb/P3OZpwsN5ssV08SkMwzTyYTfg/aQ55l/FyRnFwd90MP+S3fW9H0Lb6tKGkv9YKR2eZ48SJU0A3DKMcS9AdkMplsegnGFmJxAz657+3xBdhoxBcx6o57G/M5aDzmagARmweppPEZY3FjVMViZ0tZl+Cu61O/yyg1va+acIrMPH5MiJu3MZQDVsvfiZYT9TgJFJbWNJ+HMWrIMiTDITwRV4t1TJqMZIP0l2M85h72NOWRaq0WV6LFJNQ1m9wfPhiwEVunw33t4zEn8uoo7xxXy0cj3hzY22Mp+d5eGHOmJnU4OACur1lO/957XD1XiT4R3P4+u7TP5yx1F2l7Mhxy4j6f83N7z7ePRrzOWg0e4ER8by8k3GoqF6rmKkeXzY1bjeDU9C3efCnMNgciSbt+xhE0HofvYqJz5w3jHuzaeWqjCToR/RCAfwvADMCvAfgu7/3FJtf0LrkWIxLDuA8WNwV03u1iESoVbm8vv/jzHpCLJwD5XNsdc1i3uDGqYrGz5UQJbpwge5Ubv82YtqjvXHvA9THXZaZNq2ai34UV7u++VltK1OONBjWWw2zGG7Las+49fLvNyfZoxMm2+JvQeMxJKwDf6eSJuswUJ5Hb+3qd+9bPzuDbba4+x8quWo0r8URcvW634WXee3J2xgl8p8OvSQR/csKf+fk5V9HFgT6sp9Hgyvxsxr3p0lfupeXARZJ2SpLQdw55X4n0gLu9Pf4MxWclzKLX7zHLwni4WzdRVAK/brZ55NIeRs8p0n/vItWaHW+MKuxa3Gy6pPRTAP5F7/3XAvgVAD+w4fW8U05OTja9BGMLsbhZQZrC7e9zdWEwAF1esnPuYAB0u/D7+/D7+ywj3LHkHLC4MapjsfNM0EkXsexcx13dtU+9OIZS0RFpcmz1SYKTg4Nb+9S1Z/5efepAudN7vM7I2FNdzMl7TnbjHnaAPU46HTYjHQ65z7vfB1otJMMhz1f3Hu74mBPnyYSd2cXd3vX7IHDPeZIknHQ7x4m/9L0TESep+roqNR+N2LTNOfY5qdWAkxOg24Wr17lnfD7n/v92m5+jVuOqeb3OaxEJPk2n7NoOBMk7pSlvDsgccy993UHqry7tAH8H2rIg38061OcgVlncuG2xYKm9jvCLz72zGbvHdzpL7RF2vDGqsGtxs9EKuvf+J6P//jSAb93UWgzD2B78jpmFGIZh3Isy2bhWTNf1qd9W+dbndS60EQUJdNlj7lOtv+v7iEey6XuI5ftZxhJ0SZZVyg3wHG5aLEBXV7zp2+sFrxI6O+MRboeHLJEXN3R4z9JzcWBPrq/5sa0WIBV6r2PcVLEgcnMSJ3ksFrwRUK9zL7mMbkOShJ5yyjI4MYBzOnKt3+f3M52GzROSuewkE0goy3LVmBi2Qdu7BN1I8WmajzBdRXGOucZFYd557NK+JGmXjZLQq28Yxr15Sj3ofwzAj296Ee+SbNVOtGGsweLGqILFjVEVi51nTGEmtSbSPk3LTePuOqYtSZBJchyeQ6rlpb3tb9unXnwf3ucS/izLn0s3BLTaPh6HZLU4RtPP57lEvV5nI7j5HHR+Dmo22dFdx50B/JkQsYR8Pkci1WwvCXYi3ieu3eaRa7Gp2mwmT+H5cd6DdKyoKBDUiR5EPAZtfz/0m+tn5jodroDr6Dkxw4O+nn4W+l51PGlZhbuMu8w2V0m7Tk+Jv8M7zDa3441RhV2LmwdP0Ino7wB4v+RHP+i9/xtynx8EsADwo2ue57sBfDcAfPDBB3jx4gUA7klYLBY4kLEX0+kUV1dX4efOObx58wYHBweoy8Hl7OwMrVYLHdnZGwwGcM4FC//JZILr6+sgp8iyDGdnZzg8PEQqJ7E3b96g0+mgLXKiwWAA7z36/X54jouLi7AOfY6joyPUZPfyzZs36Ha7aMku59XVFYgIe9I/NB6PMRqNcHx8DABYLBY4Pz9feo7Xr1+j1+uF57i8vESSJOE5RqMRJpMJjo6OAADz+RwXFxc4Pj5GIgfP09NT9Pt9NOUgf3FxgTRN0RNDruFwiNlshsPDQwDAbDbD5eUlTk5O+EThPV6/fo39/X00pCfp/PwcjUYDXZmz+ZS/p+FwGD7jp/I9HRwc2Pe0Bd/TU/p9Ojs7s+9pC76np/r7BMC+py34nt7J79ObNzjq9fg56nW8Pj1Fr9lES0ZN3vieLi8xGY9x9PIlkCTheyIivHjvPf6ePv4Y/U4HzVYLSFNcnJ7y93R4CBCVf09v3rBMPk3hk+Tu35N8L9PxGIPzc5y8eMEV7sUCby4vcXB0tPw9NRroSDI/WCzgGg3+nrzHZDDA8OICLw4PAe+ReY+zNMVBr4dUEuc38zk6+/toz2b8HFJJ7r96BTiHycUFf0+vXgFpimw0wsXr1zh4/33UZKPgzcUFup0OWrKOq8EA1Olgr9UCajWMz88xqtVwIn3pizTFxUcf4bDbRa3RABoNvB6NsNftoiXxczmbIWk0sNftAosFRsMhJlmGI4m5+WSCi48/xtH77yOR35+Vv08ylm04nWK2WPD35D1m19e4dA4nL1/y79N8jtcffYT+4SEa8jsYvidRSlw7d+vvE4Dn8/tkx71H+Z4AhLU9p+9pFbTuh48BEX0ngP8QwDd670d3ecxXf/VX+x//8adfbD88PMT5+fmml2FsGRY3RhUsboyqWOzsMFrNFtMwNfsqrZrHletarTxuRKIdquiFx5Syatb5XZHX5H9ylXtldX4yQeIcTwWRi+qwBknAQZQ7x2cZu6VnGRKdUT6bAVnGUnV1ck8SJJMJfJbx+67X4WWsmK/XWcLuHFf4vWdzN+/znv80Df3aJOvEdMrr6Hb5s1NZf5Jw1VzaFSDPtzQqbTZjZcFdJpiUyNdXStqzjL+j+HtyjkfWyfu+DTveGFV4rnHzNV/zNf/Qe/+7i7dv2sX9mwH8SQC//67J+TaRVjnRGDuPxY1RBYsboyoWOzuM9p5HTtxB/g6sHdOWlhV4VAqto7wgiWNhFNwSUV/7rePfyijI3yGu7qTPGyeorRZPBZGxayHZVbk5wAZxzgW39OCQD3C1H2AJ+3AYZqsntRpL3YnY+V3GsHlxdk/UZZ4o9KUn8zkbvBGxyVuvx/3mkwkwHAZzO8jPkSRsiKdO9fpZFSTpNB7zffX9rKNE0n5jtrnOoHeOXdrjz3M+Z6d4cZK/C3a8Maqwa3Gz6Xf7PwNoAvgp4l2/n/be/4nNLskwDMMwDGOH0N5tYGnEGYCbpnF6X3GGB0oq7mU95/L4lY95W0M5IN9EkIozptMgoV+q4NfrYV46yXzlMI4sSuJpPoefzUCNBnyWsZEbwCPRpCqeXF3xc7danHyrq/x0mpvVNZucqC8W/Jpyv+AU3+kA0ykwGgGLBfzBAT8nEZLxGK7R4E2LNA1JtX5m4X2VjDRbiW6gxFX3snnnsl7oRkYETSb8PYtk2jCMd8emXdx/xyZf/6F58+bNppdgbCEWN0YVLG6MqljsGEvEju7O8b9LDODenJ2Vzi2/kRzq88WJOtFqs7i3NZST9QaDNh3Ntljwa8fri4zawjg4dSXXJF4k3FCpvsyC9zIL3B8fc0V+MODH9/u83kaDk+XZDMlkko+eazb5OXVUWpKARiPQ1RWb2R0c8BpmMyTOsRO6rFk3S4L8XBNp2Uxw7fbtGxrFOebxbWUu7bXasku7uMr7u2wElGDHG6MKuxY3m56D/qzp2HgJowIWN0YVLG6MqljsGKVoQiljzQCERJ3mc3RiCXVxbrnI5ZcozlzXmeGaHK97jN7nvk7OOuu91eKK93zOVe3i80iFOFSJx+N8TUkC3+kEGTep6zpR6PVGksAfHcG99x73ub95w6PcJhOeVd7pwKcpaDbjWe3Tae72fnUFGgzg9veBbpcr66MRr73Z5OTYOZ5pL2PflhzZRyMeoSZy+LUfh1bf180218/a+7xqr8xmuaS9QnIO2PHGqMauxY0l6A9I+y79P4ZRwOLGqILFjVEVix1jLZLQxdVVD6DdaNxMmjWpl0QeIlVfQp9L+tKh/c7rHqPJvFSvS+9zG2nKiXqzyYn6aFSeqNfrgP5OyBrDqLJmk5N1na+uc+WdyyXiBwdwr17BA0jOz0GvX3OiLrPS3d4eS9oXC9D5OVf29/dBOq7t+por4fI5kWwSUPRd8JfgeSZ7s7lseFeGc5xYxwoC9QWIR6UtFuGz9XG/ucyKB8DJ+X3aDgrY8caowq7FzaZ70A3DMAzDMIxtIJqTrvO7ITO5S/vUgdUyde0X13nsmtyv60F/F33qSQIvo5UwmSCZTlnKHhvTRWZ3UFd6Nc7Tn4l8PjisT6f8HpIE5D3Q6cD3+/waV1f8vJ0O3z4aIRkOgW6X+8sbDXZu954r4fIesVhw5X+xuOnSvljAyTintZRJ2leZw5VJ2hcLTu4rStoNw7g/lqA/IIPBYNNLMLYQixujChY3RlUsdox7Q4TBdBok6/B+ddKsPeiaiBf71DVR14pu7CC+akzbKhO6+1Z21RBuOkUyGsElCaDJe+F19L2FKj6W++n1fSQjHkrkej2urKcp96lPp6DpFHj9OjdXk7nxyXAY+tF9rRY2LIK0PUquaTzmTYI7SH5pPl/eGFllDqftBXE1HeD1ev/WVfMYO94YVdi1uLEE/QHZ9Ix5YzuxuDGqYHFjVMVix6hCiJto/FqQjM/nN+eRFxNxYLlqrdX5KFG/9THy/7ABcNvM9VU0m5yoLxY8fo2Iq+xRUhpvCACFcXRE/P/5nCXwSQIMhyDv81Fp2k+ufe2NBsvUh8Mw/9wTcXJery99BpDPIBFjuVvfn8rt489qlTmc9tDHGxxiYqdmee8SO94YVdi1uLEe9Aek3+9vegnGFmJxY1TB4saoisWOUYUbcSOV7xtS7FV96jKmLRiSFX+ulWqRka99DJD3qWONUd1tqKFbs8lmbuNxLuVXYrM75NJ9iiv53oPaba6iT6dIhkN457gHvt2Gb7fD+3Bxb60k+sV+cZrNgrHcrcn5fM6mcUUjuDJzOE3Oi47w0ykn8u84OQfseGNUY9fixirohmEYhmEYxrtDq9pRRTy4kGvSd9s4Ne03F1dx7XG/dQSbVuL1cbKeeyHO7WquFkaQxb3Zxcq9rkPXJY7raDbhpDKO62uey55l3HdOxBsRQN4usFjkVW59fV3POrznXvX48yibbR5L2mPTOO9Z0l6iHjAM43GxBP0BmYjjpWHcB4sbowoWN0ZVLHaMKtwpbjTJrtc5cfWezdDUiKzYp65S9jLDuWLCXextjx8TP+5dGMqVzUnX5yma3UkfuSbHS88l1XJfq4HijQgZAbckaRdH9RsbA2XozPoySXvxtizLN0f0PehrPYCkvYgdb4wq7FrcWIL+gAyHw00vwdhCLG6MKljcGFWx2DGqcO+4iZNw53jWeL2+XPFdV/0uJNzhZ1EPfGnF/LZK/V2QOekh6da1x/3u68zu1GDOuaXXDa71s1meMOuGgvaL30XSHr/Hsko6Ipf2eF3Ipe6+2bzfZ1IRO94YVdi1uLEe9Afk+Ph400swthCLG6MKFjdGVSx2jCpUjhvtJ2+34cFO4TSdLveMaxIpxmtLPefRmLPQj154zMo+de0f14p4cQ76bRTnpOvrxGvX94eoF15fVxNjlepnGSfTKnfXdgDg9uRcEnuk6ZKRXBjJFju3i0wfcYVcjODgPasEHiE5B+x4Y1Rj1+LGKuiGYRiGYRjG4yL96HGiCq0kR33qK13a14xau3H7baPdivL4O6x9aRa6JvzRGm6oAbSHXhLhYpU9VP8L88lLyTI2grtltrmuTc3nYiM4aCJ/n/dtGMajYL+VD0h2351Zw4DFjVENixujKhY7RhXeadxoMivybhqN4Gu1vLIMrB+5pkl8cSb6ut72ktcFcHtyHKMJsfec8AK5u7tuChR66JWwRjVy0+e7JWEOvepFSXuhv57mcx5NVZS/q8v7I0nai9jxxqjCrsWNJegPyNnZ2aaXYGwhFjdGFSxujKpY7BhVeJC4IYJvNDgxXyx4zBnRcjJZllQXE/Jior7uMfq6K6rxd1639pNrog4sbyRooh6j488Afn/rJO1ljuxlRnDRe0Stlj+nyudrNZa0bwg73hhV2LW4sR70B+To6GjTSzC2EIsbowoWN0ZVLHaMKjx43KQpfKcD32rxLPHRKDdbA0JSHGaSS2UYwLJ0Pr593WOU4s/vU7mL++Od4+S8rCde+8KThO8XjzsrQ9zXY+f1stnm6sYOiBJA56iLA72Px9RtCDveGFXYtbixCvoDUrvNedMwSrC4MapgcWNUxWLHqMKjxQ0RvBjKQRJ1R5QbtQGrR64VR6DFzubFxxQr2LfJ429bc1RRByRh1uo8ZNRasY+87KmK49fKKunIJe0UqwF05rn3PHd9A5L2Ina8Maqwa3FjCbphGIZhGIbx9Gk24QAgy7iiDsDFDuSrRq6VjEC7MR5t1Zi2daPfbiNKlpd63Muk6UU0EY/vU2YEF4+d07UC/BqLBd92yyaAYRhPC0vQH5A3b95segnGFmJxY1TB4saoisWOUYWNxk2tBtfp8L9HIyQAXJpylRi4MTMdQJCR+1qtPFFf9ZioR3ztz29haSb6bXPYy2abi0R96XFZlkvw4znq4t7udc78E8KON0YVdi1uNq91ecZ0u91NL8HYQixujCpY3BhVsdgxqvBk4qbTCcl6MhoB43H+s7jnXPvRsyyfVU50c455WZ963Id+lz72dcQzyoto8l+r3ZxtXpCo67pIjPXuPUd9QzyZuDG2il2LG0vQH5DWBl0yje3F4saogsWNURWLHaMKTy5uGg1O1BsN0GgEGo2WE+fIIC0k5TqHPEluJupAbhgXP6bs5zpC7W1GQWkiHifwYix3Q9I+m/EItcIcdSwW8Fp5v6sD/SPz5OLG2Ap2LW5M4m4YhmEYhmE8D2o1eJW/TyZInIOr1YBmM/95yci1ONG+rQ8dKMxLL/a438dQDlgtaS8m2lkGyrIwOg46Xz3L2AjuNjd4wzC2AkvQH5Crq6tNL8HYQixujCpY3BhVsdgxqrAVcdNqsancfI5kNIJPklwqXjb7XKXvsfFanIjHs8yjx9yY0X5XQ7myRFwN5ArGburSvrRuGb+GJ141j9mKuDGeHLsWN5agPyC0BQdK4+lhcWNUweLGqIrFjlGFrYqbeh1O+9Cn0zwB1ip3yZi2tYl62WPuYzgH8FoKY9ZujFQDlteQJPw8YgRXlLlvA1sVN8aTYdfixnrQH5C9vb1NL8HYQixujCpY3BhVsdgxqrCVcVOr8Uz1dhvkHJLRCDSbsTwcyPvUo550X69zcj6f8216X0Ufo4ZzkpADWGk4d0MmrxX3en1Zoq73jea6a6+6vp87j3x7Imxl3BgbZ9fixirohmEYhmEYxu4gzue+0eDEezLhSrS6p6+ogHuiXNperIjfVjXXiruMPwuUzTbX23Wt8Yg2lbnfY8SbYRjbhSXoD8g4HvVhGHfE4saogsWNURWLHaMKzyZu4gp3lnFfd60WEuAbfeqayJf1oAMrHxPL3wHkMvXi41XSTpQn4nrf4vNvIc8mboxHZdfixhL0B2Q0Gm16CcYWYnFjVMHixqiKxY5RhWcXN2nKybC6oo/HoHo9T661Ah45tfs0zXvQi4k2UPqYIFMvVtL1fs4tu7SLaRyA/LYt5tnFjfEo7FrcbPdv+RPn+Ph400swthCLG6MKFjdGVSx2jCo827hR07V2GwAbt9FslkvO1em9Vgs96SGxn8+XZ68r+hjtbQfKJe0yR33pvt5zFT6ej77FPNu4MR6UXYsbq6AbhmEYhmEYRoxKydUgznv46RSkEvfYPT2Wu6tEPZa1K/GYNiWWtKtLu1bYdR33maluGMbWY7/xD8hCXTYN4x5Y3BhVsLgxqmKxY1Rhp+ImGqkG7zkhT5J8/Fo8cs37kISvTNSVMkm7Vuq9D4Z1z4mdihvjnbFrcWMJ+gNyfn6+6SUYW4jFjVEFixujKhY7RhV2Mm7SNDixI8uWHdvFAV5/TlkWKuBL/edK7Mgez1wn4iQ/mo/+nNjJuDHeml2Lm+e1LffEODo62vQSjC3E4saogsWNURWLHaMKOx03Km+P+8h1Zvlikf88TdlwDgiJuv5ZSs4XC565Lk+1zS7tt7HTcWNUZtfixiroD0htlaTJMNZgcWNUweLGqIrFjlEFixvcnFEuty3NTi/8XCvkqNWC0Vyomtfrz362ucWNUYVdixtL0A3DMAzDMAzjbYhGqgGciCPLOPEmyn/uHPeli+v7c5e0G4ZxfyxBf0Bev3696SUYW4jFjVEFixujKhY7RhUsblZQq3E/etyHHo9XS1OupmulfMdc2i1ujCrsWtxYD/oD0uv1Nr0EYwuxuDGqYHFjVMVix6iCxc0tlPSh+zTlfvNajceopelqh/dnisWNUYVdixtL0B+QVqu16SUYW4jFjVEFixujKhY7RhUsbu6I9Kn7ep0l7wCQZSxpf+b95mVY3BhV2LW42R1NjWEYhmEYhmFsCh3DZhiGsQaroD8gl5eXm16CsYVY3BhVsLgxqmKxY1TB4saogsWNUYVdixtL0B+QJLGP17g/FjdGFSxujKpY7BhVsLgxqmBxY1Rh1+Jmt97tI7O3t7fpJRhbiMWNUQWLG6MqFjtGFSxujCpY3BhV2LW4sQTdMAzDMAzDMAzDMJ4AlqA/IKPRaNNLMLYQixujChY3RlUsdowqWNwYVbC4Maqwa3FjCfoDMplMNr0EYwuxuDGqYHFjVMVix6iCxY1RBYsbowq7FjeWoD8gR0dHm16CsYVY3BhVsLgxqmKxY1TB4saogsWNUYVdixtL0A3DMAzDMAzDMAzjCWAJ+gMyn883vQRjC7G4MapgcWNUxWLHqILFjVEFixujCrsWN5agPyAXFxebXoKxhVjcGFWwuDGqYrFjVMHixqiCxY1RhV2LG0vQH5Dj4+NNL8HYQixujCpY3BhVsdgxqmBxY1TB4saowq7FjSXoD0iS2Mdr3B+LG6MKFjdGVSx2jCpY3BhVsLgxqrBrcbNb79YwDMMwDMMwDMMwniiWoD8gp6enm16CsYVY3BhVsLgxqmKxY1TB4saogsWNUYVdixtL0B+Qfr+/6SUYW4jFjVEFixujKhY7RhUsbowqWNwYVdi1uLEE/QFpNpubXoKxhVjcGFWwuDGqYrFjVMHixqiCxY1RhV2LG0vQDcMwDMMwDMMwDOMJYAn6A7JrM/uMd4PFjVEFixujKhY7RhUsbowqWNwYVdi1uLEE/QFJ03TTSzC2EIsbowoWN0ZVLHaMKljcGFWwuDGqsGtxYwn6A9Lr9Ta9BGMLsbgxqmBxY1TFYseogsWNUQWLG6MKuxY3lqAbhmEYhmEYhmEYxhOAvPebXsO9IaJTAL+56XXcgRMArze9CGPrsLgxqmBxY1TFYseogsWNUQWLG6MKzzVuvtx7/6J441Ym6NsCEf0D7/3v3vQ6jO3C4saogsWNURWLHaMKFjdGFSxujCrsWtyYxN0wDMMwDMMwDMMwngCWoBuGYRiGYRiGYRjGE8AS9Iflz216AcZWYnFjVMHixqiKxY5RBYsbowoWN0YVdipurAfdMAzDMAzDMAzDMJ4AVkE3DMMwDMMwDMMwjCeAJehvCRF9HxH9MhH9EhH9JSJqEdGniehniOgzRPTjRNSQ+zbl/5+Rn3/FhpdvPBJE9CNE9AkR/VJ02xER/RQR/ar8fSi3ExH9TxIn/x8RfV30mO+Q+/8qEX3HJt6L8XisiJsfIqJ/KrHx14noIPrZD0jc/DMi+kPR7d8st32GiL7/kd+G8ciUxU30s/+ciDwRncj/7XhjAFgdN0T0n8ox55eJ6M9Gt9vxxlh1nvqXiOiniejniegfENHvkdvteGMAAIjoQyL6u0T0j+XY8p/J7XZtDADee/tT8Q+ALwPwWQBt+f9PAPhO+fvb5LYfBvA98u//CMAPy7+/DcCPb/o92J9Hi5XfB+DrAPxSdNufBfD98u/vB/Bn5N9/GMD/AYAAfD2An5HbjwD8uvx9KP8+3PR7sz+PHjffBCCVf/+ZKG6+CsAvAGgC+DSAXwNQkz+/BuC3A2jIfb5q0+/N/jxu3MjtHwL42wB+E8CJ3GbHG/uzMm4A/GsA/g6Apvz/pfxtxxv7sy5ufhLAvyH//sMA/l70bzve2B8AeAXg6+TfewB+RY4rdm3svVXQ3wEpgDYRpQA6AL4E4A8C+Cvy878A4I/Iv79F/g/5+TcSET3eUo1N4b3/vwGcFW6O46EYJ/+rZ34awAERvQLwhwD8lPf+zHt/DuCnAHzzgy/e2BhlceO9/0nv/UL++9MAPiX//hYAP+a9n3rvPwvgMwB+j/z5jPf+1733MwA/Jvc1nikrjjcA8D8A+JMAYvMZO94YAFbGzfcA+NPe+6nc5xO53Y43BoCVceMB9OXf+wC+KP+2440BAPDef8l7/3Py7wGAfwIufNq1MUzi/lZ4778A4L8D8FvgxPwSwD8EcBFdQH8eHHCQvz8nj13I/Y8fc83Gk+I97/2X5N8fAXhP/h3iRNAYWnW7sbv8MfCOMmBxY6yBiL4FwBe8979Q+JHFjbGO3wng90pb3t8non9Fbre4MdbxvQB+iIg+B75O/gG53eLGuIG0/P4uAD8DuzYGYAn6WyF9Ed8Clnd9AKCLZ7BrYzw+nnU6NlLBuDNE9IMAFgB+dNNrMZ42RNQB8KcA/JebXouxdaRg6ejXA/gvAPyEKf+MO/A9AL7Pe/8hgO8D8Oc3vB7jiUJEPQB/FcD3eu+v4p/t8rWxJehvx78O4LPe+1Pv/RzAXwPwDWDZRSr3+RSAL8i/vwDuAYT8fB/Am8ddsvGE+FjkOZC/VToY4kTQGFp1u7FjENF3Avg3Afx7cgIDLG6M1fxz4I3kXyCi3wDHwM8R0fuwuDHW83kAf01kpT8LwAE4gcWNsZ7vAF8TA8BfBrc+ABY3RgQR1cHJ+Y967zVe7NoYlqC/Lb8F4OuJqCM7yt8I4B8D+LsAvlXu8x0A/ob8+2/K/yE//7+ii2tj94jjoRgn/744Vn49gEuR+/xtAN9ERIei3vgmuc3YIYjom8F9xP+2934U/ehvAvg24mkRnwbwlQB+FsD/C+AriadLNMAGlX/zsddtbA7v/S96719677/Ce/8V4KTr67z3H8GON8Z6/jewURyI6HeCjd9ew443xnq+COD3y7//IIBflX/b8cYAwK7sYGXFP/He//fRj+zaGCxdMirivf8ZIvorAH4OLDX9RwD+HIC/BeDHiOi/ldtU2vPnAfxFIvoM2FDj2x5/1cYmIKK/BOAPADghos8D+K8A/GmwXPCPg12V/x25+/8Odqv8DIARgO8CAO/9GRH9N+ALIAD4r733ZUZQxjNhRdz8ANg5+adEafrT3vs/4b3/ZSL6CfAm4QLAf+y9z+R5/hPwCasG4Ee897/86G/GeDTK4sZ7v0piascbA8DK482PAPgR4hFaMwDfIYUFO94YAFbGzX8A4H8UtegEwHfL3e14YyjfAOCPAvhFIvp5ue1Pwa6NAQBkBVzDMAzDMAzDMAzD2DwmcTcMwzAMwzAMwzCMJ4Al6IZhGIZhGIZhGIbxBLAE3TAMwzAMwzAMwzCeAJagG4ZhGIZhGIZhGMYTwBJ0wzAMwzAMwzAMw3gCWIJuGIZhGDsIEf0RIvJE9C9sei2GYRiGYTCWoBuGYRjGbvLtAP4f+dswDMMwjCeAJeiGYRiGsWMQUQ/AvwrgjwP4NrntDxDR3yOiv0JE/5SIfpSISH72jUT0j4joF4noR4ioucHlG4ZhGMazxRJ0wzAMw9g9vgXA/+m9/xUAb4joX5bbfxeA7wXwVQB+O4BvIKIWgP8FwL/rvf8aACmA73n0FRuGYRjGDmAJumEYhmHsHt8O4Mfk3z+GXOb+s977z3vvHYCfB/AVAP55AJ+VZB4A/gKA3/d4SzUMwzCM3SHd9AIMwzAMw3g8iOgIwB8E8DVE5AHUAHgAfwvANLprBrtOMAzDMIxHxSrohmEYhrFbfCuAv+i9/3Lv/Vd47z8E8FkAv3fF/f8ZgK8got8h//+jAP7+I6zTMAzDMHYOS9ANwzAMY7f4dgB/vXDbX8UKN3fv/QTAdwH4y0T0iwAcgB9+0BUahmEYxo5C3vtNr8EwDMMwDMMwDMMwdh6roBuGYRiGYRiGYRjGE8ASdMMwDMMwDMMwDMN4AliCbhiGYRiGYRiGYRhPAEvQDcMwDMMwDMMwDOMJYAm6YRiGYRiGYRiGYTwBLEE3DMMwDMMwDMMwjCeAJeiGYRiGYRiGYRiG8QSwBN0wDMMwDMMwDMMwngD/P1/YGbnYuLVfAAAAAElFTkSuQmCC\n", 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" ] @@ -4463,7 +4442,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -4538,7 +4517,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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SDE/YH8RuhGEQuxGGQexGGAaxG2FYxHaEYTiKdjMyDr3W+jXgl4C3gPcxY/sflFJ/USn1B9PD/kza1u5djCL+zx7IYPeAqampgx6CcAgRuxGGQexGGAaxG2EYxG6EYRHbEYbhKNqN8+BD9g+t9Z8H/vymh//cwPN/Fviz+zqofWKwzkIQdovYjTAMYjfCMIjdCMMgdiMMi9iOMAxH0W5GJkIvCIIgCIIgCIIgCMLuEYd+RKhWqwc9BOEQInYjDIPYjTAMYjfCMIjdCMMitiMMw1G0G3HoR4RSqXTQQxAOIWI3wjCI3QjDIHYjDIPYjTAsYjvCMBxFuxGHfkQoFosHPQThECJ2IwyD2I0wDGI3wjCI3QjDIrYjDMNRtBtx6AVBEARBEARBEAThECIO/YjQarUOegjCIUTsRhgGsRthGMRuhGEQuxGGRWxHGIajaDfi0I8IWuuDHoJwCBG7EYZB7EYYBrEbYRjEboRhEdsRhuEo2o049CPC+Pj4QQ9BOISI3QjDIHYjDIPYjTAMYjfCsIjtCMNwFO1GHHpBEARBEARBEARBOISIQz8ieJ530EMQDiFiN8IwiN0IwyB2IwyD2I0wLGI7wjAcRbsRh35E6HQ6Bz0E4RAidiMMg9iNMAxiN8IwiN0IwyK2IwzDUbQbcehHhJmZmYMegnAIEbsRhkHsRhgGsRthGMRuhGER2xGG4SjajTj0giAIgiAIgiAIgnAIEYd+RIjj+KCHIBxCxG6EYRC7EYZB7EYYBrEbYVjEdoRhOIp2Iw79iFCr1Q56CMIhROxGGAaxG2EYxG6EYRC7EYZFbEcYhqNoN+LQjwjT09MHPQThECJ2IwyD2I0wDGI3wjCI3QjDIrZzNPGihIVmiBclQ51/FO3GOegBCAbbtg96CMIhROxGGAaxG2EYxG6EYRC7EYZFbOfo4UUJv/henYaXMFGw+OnPTFJwHi7+fBTtRiL0giAIgiAIgiAIwoFS7cbUejFFR1HrxVS7R68efhgkQj8iVKvVgx6CcAgRuxGGQexGGAaxG2EYxG6EYRHbOXqUc4qFRkg7SBjLWZRz6qGvcRTtRiL0I0K5XD7oIQiHELEbYRjEboRhELsRhkHsRhgWsZ2jRyfQnB53+e2nipwed+kE+qGvcRTtRhz6EaFQKBz0EIRDiNiNMAxiN8IwiN0IwyB2IwyL2M7RY6ZkM12y8SLNdMlmpvTw9fBH0W4k5V4QBEEQBEEQBEE4UAqOEcKrdmNmSvZDC+IdVcShHxGazeZBD0E4hIjdCMMgdiMMg9iNMAxiN8KwiO0cTQqOxenx4R35o2g3su0xIij18KIPgiB2IwyD2I0wDGI3wjCI3QjDIrYjDMNRtBtx6EeESqVy0EMQDiFiN8IwiN0IwyB2IwyD2I0wLGI7RwsvSlhohnhR8kjXOYp2Iyn3giAIgiAIgiAIwoHgRQm/+F6dhpcwUTB19FI/v3vkkxoRer3eQQ9BOISI3QjDIHYjDIPYjTAMYjfCsIjtHB2q3ZhaL8a14E4z5G4zHPpaR9FuxKEfEbrd7kEPQTiEiN0IwyB2IwyD2I0wDGI3wrCI7RwdyjnFfD3gN292ubjs8y+vtodOvT+KdiMO/YgwMzNz0EMQDiFiN8IwiN0IwyB2IwyD2I0wLGI7RwMvSri07FN0FJNFi+miTa0XU+3GQ13vKNqN1NALgiAIgiAIgiAI+4oXJfxv76zx1t0e9V6MUorJos2xssNMyT7o4R0axKEfEaIoOughCIcQsRthGMRuhGEQuxGGQexGGBaxnSefajdmpR3jWhYzJcV43uInPznOy6eKQ4viHUW7kZT7EWFtbe2ghyAcQsRuhGEQuxGGQexGGAaxG2FYxHaefGZKNnNjNrHWaODp6fwjOfNwNO1GIvQjwvT0NLVa7aCHIRwyxG6EYRC7EYZB7EYYBrEbYVjEdp58Co7Fz7w8xY88bVTtT4272zrzV65cIQxDJicnOXXq1JbHhGHI0tISzWYTgOPHj6/X1EcRVqdDMjHx+N/IA+h0OnQ6HVzXZWpq6rFfXyL0I4JtS52I8PCI3QjDIHYjDIPYjTAMYjfCsIjtHA0KjsXT03mens5v68xHUUQYGqe/WCxueUy32+XGjRs0m01s2+b8+fMbBPKcep3ixYsQhjhLS4//jexAvV5ndXV1z1rqiUMvCIIgCIIgCIIg7CtelLDQDB/Yos7zvOzfhULhvudrtRo3b94kiiIqlQpPP/005XJ5wzEqinCqVQoffcTY9773eN7ALuk78tttRjwqknI/Iqyurh70EIRDiNiNMAxiN8IwiN0IwyB2IwyL2M6TjRcl/N136ix3Io6VHf7Yy5PbRugHHfp8Pp/9O0kSFhcXqdfrAExOTnLy5EmUUvdfJAyxm02KV65AkoDWsNVxj5k4jgmCABCH/olnbGyMVqt10MMQDhliN8IwiN0IwyB2IwyD2I0wLGI7TzZ3myFv3+thK8VCM+TLT5d5ejq/5bH9CHehUMCyjNMfhiHz8/OZs3/ixAmmp6epVCr32c3i4iK1VouZs2f55MICa2NjzN++Tc/3ieOYXC7H1NQUU1NTW28GpHieR71ep91uE0URWmvy+TyTk5P3nRsEAVevXt1w/vXr1zf8PTc3x9zc3C4/se2RlPsRYav0EUF4EGI3wjCI3QjDIHYjDIPYjTAsYjtCn77T3reJTqfD9evX8TwPx3G4cOEC09PTG47Z6vxSu83ls2f56KmnaHU6JEmC1hrf91lcXNw2K0RrzcrKCtevX6dWq2URd601nuexuLjI7du30Vpn5/i+j23bmZOvlMK27Q3/Pa6IvUToBUEQBEEQBEEQhH3j1LjLyycLrLRj5sZsTo27Wx4Xx3EmiFcoFKhWqyylonbFYpEzZ87guvefq8IQDWjHyRz6e6dOoZTiufl53C98AT01RRiGLCws0O12qVarzM7O3helX1payjouzM3NMTU1heM4JElCvV5ncXGRTqfDysoKx44dA6BSqfD8889z9+5d6vU64+PjnD59+rF8dpsRh35EaDQaBz0E4RAidiMMg9iNMAxiN8IwiN0IwyK282TTb1lX7cbMlOxt6+cHleHX1tbwfR+AqakpTpw4cZ/z3beb3I0b6Hye9smTJEkquqcUL62tUW40aIUhEeC6LsePH+fGjRskSUIURRs2CBqNRubMnzt3jrGxsew5y7KYnp4mCAJqtRpra2vMzc1tGNPm7IK9QFLuR4R+PYggPAxiN8IwiN0IwyB2IwyD2I0wLGI7Tz4Fx+L0Dr3nYaMgXt+Zn5mZ2Vb8rm83Vq+H6nY3nP9UtUo+de5VGvWH7Vskaq2zbICZmZkNzvwgfUX9OI6JomjD+fvh0EuEfkSoVCobDE4QdoPYjTAMYjfCMIjdCMMgdiMMi9iOAOsOfS6XA4zYXKPRYHp6estU+77dKN/HjqLsfDeKmA4CSK+j0s2B/jXB1Lk7zrp73Be/Azb0tN/M4DmDdfQParfXf+3N4nl9JiYmdpWmL1tfgiAIgiAIgiAIwr7xsD3oi8UiZ8+exbIsoihifn5+PZUeIAwp/9ZvZX9anoflefjNJgDTjQakkXjtuthra/e9RqFQ2BD1b7fbAJRKpQ1O+2YGxzF4XLaZ4LrbZgH0qVQqnDp1asN/U1NTO56TveaujhL2nG63e9BDEA4hYjfCMIjdCMMgdiMMg9iNMCxiO08uXpTwi+/VaXgJEwWLn/7M1j3oB3u4FwoF8vk8Z86c4fbt23iex8LCAmfOnEEphQpDrGYzsxsrjcB76fljvg+psx1XKuRv3qT32c/CgGje5ih6P8X/Qenyg1kEg6UiD5Nu329/NwwSoR8RJKVIGAaxG2EYxG6EYRC7EYZB7EYYFrGdJ5dqN6bhJRwrOzS8hGo33vK4QRvot3gbGxvjxIkTALRaLVZWVgBQUYTyffSlS9j1Osr3iYKAfqX8BqfacVBxjJ1G77dzvOPYjOtBeg79SH6/ln7z+HdbP58kycasg10iDv2I0O+dKAgPg9iNMAxiN8IwiN0IwyB2IwyL2M6Ty0zJZqJgsdyJmChYzJS2TkffrgZ9enqaqYkJAFZXV+m+9x4qjrHCkMmZGax2G8vz6PZ7wGtNaUCsLkPr+7IABuk78tFW56Z0u106nQ7Ahgj7wwri1Wo1Ll26xKVLl7hy5Qq1Wm1DPf5OjFTKvVLqPwD+BKCB94F/W2vtDTyfB/434HNAFfgprfXNAxiqIAiCIAiCIAiC8JAUHJNm/6CWddulsqtul+ffeIMPnn+edpJwy7J4pt2mEkVYvo/V60GS0MnnAShG0bZR7J2E6wqFAr1ej06ng9b6PlX9KIpYWFgAYHx8PMsiABNt7zvkW4n3Ze9FKcrlMpVKBdd1iaKItbU1FhcXCYIgy0bYiZGJ0CulTgN/Bvi81vpTgA380U2H/bvAmtb6WeCvAf/V/o5y7wgHWicIwm4RuxGGQexGGAaxG2EYxG6EYRHbebLZTcu6fg/6zY62u7xMbmWF52o1cpaFtixuNpsESpGsrZlUeq3ppo50eYcI+3aCeLAecQ/DkIWFhcwmkySh0Whw/fp1wjCkUChw8uTJDedalpVdr9lsbhttd12X8+fPMz09TaVSYWpqiqeeeopSqUStVsvq+HdipCL0mPEUlVIhUALubnr+J4GfT//9S8DfVEopvdt8hBGmXq8f9BCEQ4jYjTAMYjfCMIjdCMMgdiMMi9jO0SZJkiwVfjDyDZC7fZt4cpJcq8VTp09ztdEgchw+unCBT737LvbkJChFK03L3zLdPmWntPhiscixY8dYXl6m2WzSbDaxLGtDnXu5XOb06dP3qdgrpRgfH6fRaLC6ukq1Ws2yDE6fPr1tT/v+uTMzM3S73aw+fydGJkKvtV4A/gpwG7gHNLTWX9102GlgPj0+AhrA9k0BDxE79TYUhO0QuxGGQexGGAaxG2EYxG6EYRHbOdrslApv12rElQqq26WoNS9cvGgi8sUi1156CdVuEymFl6ral3fI9nhQnfvs7Cznzp2jXC5jWRZaa1zXpVKpcObMGc6fP79tS7uTJ08yPT2N67rotF4/jmPyaSnATuRyOWBdmG8nRiZCr5SawkTgnwLqwD9USv1bWutfGOJaPwf8HMCpU6eYm5sDjAJhFEVZ+oTv+zSbzez5JEmoVqtMTk5mtQ61Wo1CoUCpVAKMmmKSJEykOz6e59Fut5mdnQXMh16r1ZiamspubrVapVQqZbtLrVYLrTXj4+PZNWzbzsbRv8b09HS221OtVimXy5mxNZtNlFJUKhXApKR0u91s8uvXXwxeY3V1lbGxsewajUYDy7Kya3S7XTzPy0RIwjCkXq8zMzOT7SitrKwwPj6eGWK9XsdxnGyXqdPpEARB1jcxCAIajQazs7MopdBas7q6ysTERGaoa2tr5HK5TBlylO9Tp9PJPuNRuE+lUok4juU+jfh9gtH6PlmWJffpENynUfs+lUoltNZyn0b8Pg1eYxTuk2VZcp8OwX0axe9TqVSS+3QI7tNefJ+sRoNao8EXvvCF7D515ufRWjNZKOB88Yv4vk/0zjvMnDuHa1mctG38X/5lJv7UnyKYnIQk4fuuXaNw+jTu2bPmvly/DpZF8cIFrE6HeGqKT8zNPfA+nTx5kqeeemqo+3T8+PGh7tOdO3eAjUJ726FGJVtdKfVHgD+gtf53079/Bvg+rfWfHjjmXwI/r7X+rlLKARaBuZ1S7l966SX9la98ZY9H/+jMzc1lbRcEYbeI3QjDIHYjDIPYjTAMYjfCsIjtHF2Kb79NMjGBtm2C8+chSZj4lV9BO07Wai46dgxneZng7Flyt26hHQdnZYXiT/4k3a9+lWhmhiR1urfCWV6m+eUvEx9wJkgcx/el6ydJws2bN/E8j2effZbPfe5zb2qtP7/dNUYmQo9Jtf8+pVQJ6AFfBt7YdMw/A/448F3gDwPfeBLq5wGZsIShELsRhkHsRhgGsRthGMRuhGER2zm62N2u+X+jQXD+PE6tZlrR9XrgOCQDKet2o4EuFLA6HbAs2t/5Do7vk6TZAaPO3bt3SZKEYrGYqdw3Gg2CIGB2djbLnNiJUaqhfw0jdPcWpmWdBfwPSqm/qJT6g+lh/zMwo5S6Cvzfgf/kQAa7B/TTfAThYRC7EYZB7EYYBrEbYRjEboRhEdt5cvGihIVmiBclWz5vdbvYnQ52qwVao4IAlCK4cIFoepokLQdAa1QYol0XFYbgOBRffBHv+edhU9R7VBkbG0NrzdraGvfu3aNareI4DmfOnOHYsWO7usYoRejRWv954M9vevjPDTzvAX9kXwe1T+xGHEEQNiN2IwyD2I0wDGI3wjCI3QjDIrbzZOJFCX/3nTrLnYhjZYc/9vLkfa3rlOehtEb5PnazmTn0KLXuzAM6l8tq4VUUoV0XZ3oaDlF2x9TUVFY7PywjE6EXBEEQBEEQBEEQnlzuNkPevtdjsRXx9r0ed5ubFOi1xur1UFGE5fuU3nwTd3HROPSbiCcmcGo1tOMQnjxpnP1k66j/k8xIReiPMtJrUxgGsRthGMRuhGEQuxGGQexGGBaxnaOJiiLzXxxj+T52owFxjN4qhd6y8F54IYvcJ7kcrRs39n/QB4xE6EeE7foXCsJOiN0IwyB2IwyD2I0wDGI3wrCI7TyZnBp3eflkgRNjDi+fLHBq3N3wvN1oQOrUEwRY7bapk9/OHgYj966LlbbCO0rIN2VEGBsbo9frHfQwhEOG2I0wDGI3wjCI3QjDIHYjDIvYzpNJwbH4mZenqHZjZkr2hvp5q9tl7Dd/EyuK0KFJxbc8D8v30btQewconD5NsLi4J2MfVcShFwRBEARBEARBEPaFgmNxevz+RHF3fh6r0yGamcFqtUjGxyFJsDyP6JC0oTsIJOV+ROh0Ogc9BOEQInYjDIPYjTAMYjfCMIjdCMMitvNk4kUJy/MrJLfm1x+MYwDcpSXiyUniiQlUGBKPjxPNzKA8D23tzm31797di2GPNBKhHxGCIDjoIQiHELEbYRjEboRhELsRhkHsRhgWsZ0nDK0J2h1+8UqAO3+Pc+0Vvnj6NAXHYvzXfo3g/HmsXi+rlVdRhLZttONgeR7sUlMhajb38l2MJBKhHxGmpqawazVy168f9FCEQ8Sj9q0UjiZiN8IwiN0IwyB2IwyL2M6ThV2vE735PtMffcAZ3UXV6lTbIarbxanXyV+9aiLxqZq9dl3j3Lsu4fHjW7at24ryJz+5l29jJBGHfoSw221y8/MPPlAQBEEQBEEQBGGEsWu1LJ1ehSFTUYcTfgO/2mAmbPP0m9/BXV01UfggwPL9LBIfXLgArlHAj6enD+otHArEoR8RgiBAdTq41Spofd/zxXfegSTZ/4EJI42kownDIHYjDIPYjTAMYjfCsIjtHF6K778PUUTxvfew0xR4FQQUul1+eBZ++Lji++ZsykuL5K9cWVew13rXkfjtiFutRx3+oUMc+n3gypUrfPTRR9zdQaRhdXWVK1HEdz75ST66eJFqtbr+ZBSRW1jAarf3YbQb6XQ6LC8vs7a2tu+vLTyYRqNx0EMQDiFiN8IwiN0IwyB2IwyL2M4hJUlw797F6nZxajVU2n5OBQFWr0c+9Jm1Y/JhgNVqGSG88XFz7iM68wCdjz9+5GscNsSh32OiKCJMDblYLG55TLfb5datW7RtGzcMeXpykpmZmex5FQTYzSb2AUxs9Xqd1dVV6QM6oszOzh70EIRDiNiNMAxiN8IwiN0IwyK2czhRnofleTiNBla7nTn0luehogjl+6gkQbsu4ZkzJKUSpHXzj4Pxz33usV3rsCAO/R7jeV7270KhcN/ztVqNmzdvEgQBZd/n5UuXqKS1Jn2sMER5Hs7ycvaYOz+P6nb3buApfUd+u80I4WBRj2EnUzh6iN0IwyB2IwyD2I0wLGI7hxMrCFCeh12vY3c6mUMftrvUmh5r9R6RHxLOzJCUy8STk+bELUqOhd0hDv0eM+jQ5/P57N9JknD37l0WFxcBOH78OJ+5fp2cUlipE22125AkqCAApbIaFIDCxYu4Aw7+BrSm+O67kH6BhiWO46x+SRz60UTL5CcMgdiNMAxiN8IwiN0IwyK2czhRnofyfaxmE5RCdbt4UcI3P1zhW9dbfPt6k9eu1QnYuGGjHUf0woZE+tDvMf0Id6FQwLLM/kkYhszPz2fO/okTJ5ipVLCiCJ3P46ytoW/dovT223z8yU+ymiTMPPccz9XrtFotGktLeMePE3U6uNeuMTU1xdTUFEop7GoVd3ERZ3UVKwxJUnVIz/Oo1+u0222iKEJrTT6fZ3JyMju3TxAEXL16dcP7uL6pnd7c3Bxzc3N79rkJu2N1dfWghyAcQsRuhGEQuxGGQexGGBaxncOF1WiQVCpYvo/leVidDkmhQG5pia7O02t2KVgWVhLjdT1akWJQuz6enn4sUfrmm28+8jUOGxKh32P6Tns/3b7T6XD9+nU8z8NxHC5cuMD09DQTaa9N7bo4y8tUvv51VK9HkArhFYOAK9PTzM/P0/R9YqVIlML3fRYXF7NJz0p3xJTnQeq4r6yscP36dWq1WhZx11rjeR6Li4vcvn17wy6o7/vYtp05+UopbNve8J9E7EeDiYmJgx6CcAgRuxGGQexGGAaxG2FYxHYOD87qKuO//uvkbt2i+P77qDhGhSE6n8dqtTh78V2O4RMqm0hZTFoxY8VNcWWlwHp017T83HOPfI3DhkTo95A4jjNBvEKhQLVaZWlpCTAp7GfOnMFNI+huLkeEcejtWo14cpJoeppOmqa/OD2N0pqzY2Oc/frXUeUyvm1z6dlnabsu1WqV2dlZVBRht1qm7j6KWFpaolarASaqPjU1heM4JElCvV5ncXGRTqfDysoKx44dA6BSqfD8889z9+5d6vU64+PjnD59ep8/PWE35PptPgThIRC7EYZB7EYYBrEbYVjEdg4PdrWKU63i1Gq4y8vEExOoOCbJ57FbLZww5Admc9Rmj2OFAbN+i9jdGzfUrlT25LqjjETo95BBZfi1tbXMmZ+amuLChQuZMz+Idl3sRoOkXMa3LOK+6qNSfOb6dWajCFUqEc3NkY9jLqR19EmSEKXKkVa3i4oi6u125syfO3eOubk5HMd8eSylmJ6YYHraJLvUV1fRm/p9bs4uEARBEARBEAThaGBtFuCOY5zUnxnETjOKrXabeGwM7bqoIEAXCtjNJsG5c6jTp5g5PcvU6TkcETx8rIhDv4cMCuL5vg/AzMwMJ0+evE+5s5463ihFeOYMOp+nO+DwX2g2KURRJjDR79OYG3gNSIUoogh8n8VOJ3vNsbGxDcc5S0sULl+mXC4DmOyAgT73/ZR8EId+lFlbWzvoIQiHELEbYRjEboRhELsRhkVs52Cxul1Kb7yx4TG70aD44Yf3H9vpoPN5lOehHQdt21hBQFIo4D/zzMZUetc1j+0RnUuX9uzao4qk3O8hfYe4nzIUBAGNRoPp6en7ovODaUVJ6mR30mi6G0VMhyFojV2vGxXI/mukEXwrSXCUwkp7O66NjRGmdfFzrouzuEh04kR2ngpD7Hod56mn1gcxEKF/ULs9MFkBq6ureJ5Hr9cjjmMmJiYkPX8fyeVyRFF00MMQDhliN8IwiN0IwyB2IwyL2M7Bkbt5E6vXMx22kiRzyO12G6dahSTBXVwkHhsjGR/HardJCgXs1KFXWpsAo2WhczmCOKHWNW25p0s2ucfYd34zzvg4cRrUPCpIhH4P6TvFxWKRs2fPYlkWURQxPz9PsqktQ2lTBB2gmzruk2FoGjtobXbABjYDuulGQLnXY+yNN3BqNVQcU0+vV9Gaiddfp/TWWxuureLYpPYPjMMZmDT7Y89rjbNN+7soijKHXkTyDoZ+hoUgPAxiN8IwiN0IwyB2IwyL2M7BYTca2NUqVtqCzm40cBYXcVZWTHlvu03llVcYe+01c3y3iy4WUb2eidBbFsTGge8EMb/ycYt/9FGTf3yxyTdvdAjivWtPlz91as+uPaqIQ79HDPZwLxQK5PN5zpw5AxhneWFh4YH9NfsR+nLqUCfFIu7KyrpDb1m0U9G8sWaT3O3bWJ4HSUKnVAKgsrRE/tYtcDYmY6ggwO501jcdPA9niwh9ZW2Nwscfbzk+x3H4xCc+wXPPPZe9N0EQBEEQBEEQDi8qbTunej2sbpfK175G6Z13cFZXIUmwGw20bWPXarh37kAUkeRyWL6Pdl3jqyhFECd8/XqHW/WQXpigFDS8mJYv/eYfJ+LQ7xGDKev96PXY2Bgn0rT3VqvFyspKdkyn1dpwfqgUYZqOUk4j58n4OMHp0+g0BV67Lu2+495qYdfrqCAArYn6qfi5HP5TT6F6PYrvvJPtlqkwRPk+7WYTgMl6HavXMzX6YZiNv9zpYFerW75Hy7K2FPYT9o/2gO6BIOwWsRthGMRuhGEQuxGGRWxnn9Ca0muvmZbX6d9Wr4cVRVieh7u6itXpgFLm/65rUvEB7ThUXnkFq9cD20al/9eFAsGFC7T8hDjRjOUs4gSiRDNRsKnk984F9RYW9uzao4rU0O8R29WgT09P4/s+a2trrK6uksvlmJycJIoi8gPnd1JHWWlNabB+aMCB9sfH8dJrF3I5wpMncWo1klwOO02lD3I5CEMszyO3sID/3HMkpRLK92nl83RSJf4Ti4tYY2MU338f/+mn1x36MMTtdEDrTIhPGB2ktkwYBrEbYRjEboRhELsRhkVsZ39w796lcPUq/nPPERcKlF991XTM8jxUGOIsLoJtY/V6qChCWxZOowFaE8/MEPcvpDXx1NQGAbxK3mIsdd5nSjafO1Xk+JhDzt47h/6o1c+DROj3jEFBPMva+DGfOHGCUhpZv3fvHt1ul4mpqQ3H9Ovni1G07U3q5nKgFCpJKMYxSaFgvoBKMZa2mWgUCiSpKr7VbqNStf0ojrmcCuJNa03F97E6HXL37qGbzawcIJckEEXru3YPQG1Tby/sDZOTkwc9BOEQInYjDIPYjTAMYjfCsIjt7A9Ws5m1vCYVzba6XSzPQxcK5BYWTF/5tDRXO47J6N3k36AU0fHjGx7K2RY/dKHMD14o82PPVTg7kdtTZx6g/Nxze3r9UUQc+j2i34N+K4V4pRRnz57FdV201szPz9Pb5DD3HfryDruT/Rr7UreLchzTBuLCBYhjjtdqoDW+43B9fJzAcbA7HbTn0Wg0uFgs4hWLlLtdnvvgAwCctTVUt0txYQErjfCvTk6iUzG+7XCWlkwEH3AGyggEQRAEQRAEQRhdLN+HJEFFESoMTSQ+jlFBQDg3R3jiBMnYWLbWjycnce/dQ+9SqT5nW8yU9jYqf9SRlPs9IEmSTBBvO/V327Y5d+4cN27cII5j3v/wQz4zsNOVOes7OPSDTr9OxfF0sUg0O0vOtjnbbjNfqVAtFKh+8pPYUUS8tgZra2BZTPR6PNPpQKVCMDmJe+cOKopwV1eZtW2W5+a4MzvL3elprJUVdLXK6dOn7+tpX7h4kfALXwDAStvrSXr+/uCnGReC8DCI3QjDIHYjDIPYjTAsYjv7g/J9U/8+4NDrXA4Vx0bcru+f9Nf2tk00O0uSZhs/iCBOaPkJlby1L0591Gjs+WuMGuLQ7wG76eEOkM/nOX36tInQ93pcPneO53o9Etb7y5d3SGHv19kXbXtD2kvfuT/V61GKYxaLRdqOQ2JZuMBYEHBsdZWpKEIXCuj0Cxk89RQkCbnbtzk/NYV77x6rs7MEjkOkNcQxhc3jSYUzVH/jIUmM8J4jprUfNFNREkF4GMRuhGEQuxGGQexGGBaxnf3B8n0TbQ8C49D7Pkk/63eb9XxSqezq2kGc8MrNDt1AU8opfuhCec+d+u7Vq3t6/VFEvK49oFQq8eKLL+7q2Eqlwosvvsjc9DTR3/pbRMePYwNf3EXq+mdqtQceMxkETKbZAna9TnD2LO7CAiqKTPrMIJYFlkXw9NNYwFOLi5wB7Hab4ORJul/4ApWvf53OF76w/kWOIqwwxF1cNH8rZdJ0PI/y975H68tflmj9HjI3N7ehW4Ig7AaxG2EYxG6EYRC7EYZFbGd/sHwfncuZmvlSyaTfB8HWzvw2Lbe3i8K3/IRuYJTt++3qZkp769CPf+5zNN98c09fY9SQYoYjhHZd7LU17E4HlSQPrH0JT5wA2yZJ21Moz8OpVim99RaFixcBTGQ+CHAGNhdUHKN8H3dpCfcIto4QBEEQBEEQhMOAGnDoVRgSVypEMzP3H5gkWwbp+lH4b9/q8srNDkGcZI+HsabgKhpeTCmn9rRd3VFGIvQjgt5mx+txkuTz2PU6hCEqju9Xp9wGncthtdtY3S52u21S+tPNgNraGq2pKeL0C94pFFiu1UwdTrFI+a23aBw/vqHdHmDGkCRZeYAwHEkqXigID4PYjTAMYjfCMIjdCMMitrM/qCAwNfOeZ7paOQ5JuXzfcUmptGXUfqsofCVPlmpfcBVfPFNkumTvjzDeEbQb2SYZEarLy3v/Io6DimOsKMLyvN2nwjsOlu9jpyITzvIySaoNsNpqcfvkSRbSFPxOschys8lSt8va1BSW52GnLfTy165lbe3cpSVyN2488KXtWg27Wn3Yd3pkqMpnIwyB2I0wDGI3wjCI3QjDIrazD2iNCkO066KCwAjibZPBm4yPbymEV8lblHIbo/B9J38sb9HomU71+6Vy33z77X15nVFCIvQjwuT09L69Vj+F/qFQCndpiXh83NTWpMqjL8zMMPlP/gnh8eNg21jtNu0f/EGU71NeWjJZAGFo/n79daxWi97LL6P6mwoPoPTWW2BZtH74h4d5q088k5OT1Ov1gx6GcMgQuzmaXLlyhTAMmZyc5NSpU1seE4Yhd+7cyVqvHj9+nJk09fIg7abT6dDpdHBdl6mpqQMZgzAcMt8IwyK2s/f0Ra21bWP1etBooHO5h7pGv9f8YA19JQ8FV/HxqvEX3l3y9i1CX/7kJ+lcurTnrzNKiEM/Ijiuy/YN6h4jSqHzebwXXnjoU52VFZK0DV8/0q6iCKIIFQSZyF7ho4/McWlKvxVF0G6jggB3aYkemLSevlhfo4HeJr3H6vWI9nGz47Dhbi5lEIRdIHZz9IiiiDCdt7drp9rtdrlz5w5RFGHbNmfOnKE8MC8fpN3U63UajQaTk5Pi0B8yZL4RhkVsZw+JY1M+G4bGN3BdnGYTu9sdat1tes1bG/7+7PECDS9mpuTQ9pN9EcQDsLfwJ550JOX+iBHNzhLNzu66fj5Da5TvkxQKZhev3xs0DFGAFQTotK7G6naxOh3zGlpDGGJ3OiYzoNMxx/g+KgxRQUDu5k3cu3e3fE3L8+6vvxcEQRAeige1U63Vaty8eZMoiigUCjz99NMbnPmDpp8xsN1mhCAIgrAFcXzfQ7mrVxn/tV8D1gN0WNZ66+mH9REwAnjVbpQJ4oFJxS86Fk1fBPH2GvlkR4S1/aoTSlvTDXOeCkOwbbRtG2c8DHGqVfN3EJidPq1N9D2K0JZl2tiFIe7du+hCwewEpin4Ko4pv/oqVruNs7p630uqXg/leegtxC0K77+PldbmH2Vqu2hdKAibEbs5egw69PkBMdIkSbh79y6LaevRyclJLly4sGVk7KDsJo5jgjSjSxz6w4fMN8KwiO08OsV33zUaWElC/tIliGOKH32E02xCFJG/eTM7Np6Y2LJG/kFspXIfxAmvzneJEo2tFF86W9q3Gvr2Rx/ty+uMEpJyPyJsFTEZJZJ8Hru/ILQsrCDAnZ8nf/WqceT7O4BKYYUhpA6+1prc/Dy5u3cJjx/HWV3F8n0Tofc8o7bf6aC2UPm3wtDU2vd3Dwdwl5dJJieJfZ/4CKdfFgoFOmnWgyDsFrGbo0c/wl0oFLDSTd0wDJmfn8+c/RMnTjC9Tarl4uIitVqNSqXC2bNn8a5dY8W26QUBcRyTy+WYmppiamoKtYPgqud51Ot12u02URShtSafz2ep9IPnBkHA1atXN5x//fr1DX/Pzc0xNzf38B+IsG/IfCMMi9jO7lG9HnqLDU+70UB5HrlqlfKbb5JMTmbCd1a3S+Hy5axFnS4UTPDtIRkUwKt2ImrdGNdWdAPNVNGh4cV4kab8cKX5Q5ObnsY7Ym2zJUI/IhRHKLVxK5JKhbAvopTW3OTm541QXqm0HvW3rKw+XluWEcrrdk06fnqM8jxU6tT3/7NbrfW0nz5RZJT408jMIHajQf7aNUpvvLGXb3vkKQ2xkyoIYjdHj77T3t887nQ6XL9+Hc/zcByHCxcubOvMD56fy+W4c+cO132fVrdLkiRorfF9n8XFRVa3yLYC05p1ZWWF69evU6vVsoi71hrP81hcXOT27dsbWrj6vo9t25mTr5TCtu0N/0nEfvSR+UYYFrGd3WFXq4x95zsAWJ0O7vx89pzTbJry1lu3jJbV3bumZh5wV1bSC2ytar9bKnkrE8Bb7Ua8dqeHpbhP+X6/yJ04sW+vNSpIhF7YHUpt+MKrOMa9d8+I6w2k8GvLQsWxUcEvldCYySXpp3hqbZz4IDC96n0fLAttWVjt9oZou4oisyEQrcsFql6P/LVrWJ5H4vvG6RcEQRC2JY7jTBCvUChQrVZZWloCTAr7mTNndhSf6jvdYMTplFI8s7ZG8emnSU6eJAxDFhYW6Ha7VKtVZmdn74vSLy0tZemzc3NzTE1N4TgOSZJQr9dZXFyk0+mwsrLCsWPHAKhUKjz//PPcvXuXer3O+Pg4p0+ffuyfjyAIwmHG7nSw223z77U1crdvE549C3GM1ethdbu41SpJpYJ75w7acVBRhHPvHnq3Lax3oC+At9aN6YQJt+oBX7uW8CPPjJFoMuV7Ye+QT3dEaD9sG7mDJo5NKvymevxkbIxoZgbl++i03t7qdtEDNZsqDMH3Tfu7IDDCeZBNRlaaXqXi2GwQDETurV6P3O3bEEVYrRZqi/r6o0Sr1TroIQiHELGbo0U/3R5gbW0tc+anpqa2rZcfJAxDkv5cmyRcuHCBY6ur2Gmpleu6HE+d8CRJiDZttDYajcyZP3fuHHNzczh9EVXLYnp6OssOWFtb2xClh/uzC4TDhcw3wrCI7ewOe23NiEjHMXajgd1qQRybaHwU4S4vQxwTVyq4y8smeKY1Tq2GfsQsiCBOWGyFhLGm6Fp0goQ4gXutiG/f6h6IM+8NZCgcFcShHxGSQ+aYqjDMHPFBdC5HPDlpHHrLAscxtTr9npa2jer1TH18kpjoe5KgcznslRVUGFL+7ndNK7woQiuVtbcDUEGA3e2ikiRTzD/KHDa7EUYDsZujxaAgnp92KJmZmeHkyZM71rvnr1xBheGG88/m8+QcB6uvgYLpbDK2Tc9frXW2gTAzM8NY2t50M31F/TiON2wIDGYHiEN/OJH5RhgWsZ3d4a6sQBwbseq1NaxuF3ttjeL77xstqjRoqPN5/GefNYLVUYRTqw0lgtcniBO+eaPDP77Y5F983MK24MSYg23BWN4i0pqWv//3MOl34jpCiEM/IoxPTh70EB4O285ENO5DKZLJSSOK57qEJ0+alH3IIvZonbXHsMKQpFjEXVnB6nSw63UTpU9T7lUcY3W7OIuLqDDEarfRuRxWGtHfC7woYaEZ4kWj/WMyMTFx0EMQDiFiN0eLwfr3XLq52mg0sjT8QdzFxayDiLu4iOr11s+3bSbTRaOKoix7Svk+fnqMUiqLvgOZ+B0Yh347Bs8ZjNA/qN0ekKX8X716lUuXLnHx4kWuXbvG8vIy8RYtm4T9ReYbYVjEdnaH1WyCbWM3m9i1GlYQ4NRqOGtroBT2pkxZgGh6mrhSydbnw9DyExq9GEspLKXohgm/82yJp6ZyTOQtbKUoOI+e0v+wlJ59dt9f86ARh14YiuD8eZIdhPzCkydNOr5SJOPj2ePatk1kPZ1A4kqFcG4Onc+bNKFGA6deJz8/byaitBWeXa2Sv3HDOPSpOqf33HNbKuD3yd24gXvv3kO/Ny9K+MX36vyDDxr84nv1kXfqBUEQdqLvFBeLRc6ePYtlWURRxPz8/H0RsMJ775FPleT7LUj7588Wi0b/JAxNNCiNgqgoopc64YVCYUPUv51uvJZKpQ1O+2YGxzF4XP+1XdfF3ka4KYoiwjCkUqlw7NgxTpw4QbFYZHV1lVu3bt2Xwi8IgnAYsWs104IOkxlFHJu5OG0VXX7jDexWC21ZuHfuYHke2nGwG437IvG6WCTeYZN1N1TyFhNFm0RrEq2ZKNhMl2xePlHAsRSx1rw6393Qm17YG0QUb0TwPY9H05g8JNh2VisPGKXNAZVid2EBFQTkL10irlRMj/t+hL5WIx4fJ56YIB4fB9c1fe2T5L5afjBK+MkQ0ZlqN6bhJUwXbe40Qu42Q56ezj/4xANgMHolCLtF7OboMNjDvVAokM/nOXPmDLdv38bzPBYWFjhz5kzmhFu+j0oj9NYmh34sCMxj/Qh936GPY7qps705it5P8X9QuvxgFoE1MJ/vJt2+WCxy4cKFDY9NTU2Ry+VYXl6m3W5TqVR2fH1h75D5RhgWsR1Q3W5W5+7evYt2XeKJCcrf+Q7h2bP4585lx1qdDuGJEzirq7jpmllbltG0yj3+nnE52+L3PFXms8fN/FzJW7w632WtG1PtxTw3m6ftJ7T8hJnS/sWQw7W1fXutUUEi9CPCoRPFG5INIndKbUj1UVGEu7hIeOIE7vIydiqsh1LY7TZWq4XdbpOUyxs2Afp1nP3FZfGdd7CaTaxOJ3vsYZgp2ZRzitfudFlohXz9emdko/TtPSw7EJ5cxG4OKUli/nsIBhfEpdTpHhsb40Ta1qfVarHSb10EKK2NoFKSoHyfOAiylPncwkIWtVdJgtWfX8OQTprOucHx1jpLebe22HQdpG+T5U2ZX49SP98vL5A63INF5hthWI667SjfZ+LXfx33zh3AROXtet382/Nwlpaw+jpT/VJW28ZutbCbTaK5OeKZGaI9bOOWsy1OVFxOVFy8SNMNNDNlEy+udqN9b1kH0Lt5c19fbxQQh35EmEkVgp94bNukCMF9onpRWncfT08TnD9vokTpItBuNlFhiF2vm572fZSCMMS9fZuJX/kVcrdvU/zoI7MB4HlYA+rOu6XgWPzI02OcHnf54pkS7SCh2h3NOszZ2dmDHoJwCBG7OZzkr10zqsUPQebQa83Uhx9mj09PTzOVtgldXV2lni4SiWOjTxLHWFFEb2BT9MRLL6H6Kfe2nQmWJkGAlzrPhYH5OXfrFna6gbtZ+X6QbrdLJxU5nRzQk3lYQby+wn4YhrRaLZaWllBKSS/rA0bmG2FYjrrtqDDEajTI37oFpE58f64GnFptXThaqfV1tVJ7EpHfTBAnVLtRllJfyVuUcoq2n/D0dI4fPF/mhy6U913lfvy3/bZ9fb1RYGRS7pVSzwNfGXjoaeDPaa3/+sAxvxv4p8CN9KF/pLX+i/s0ROExoG3b9JfHRNaTAZEOXSrRd5uTXA7H84hTQRSr3TZKnb0eyaaFnVOvM/bd7xp1z2rV1BelvTd1LgdhaFrgPUSE59S4y8mKQ60XM1GwmCkdiYIIQRBGGKvZNFlLD0HmEMcxhZUVBhNYT5w4ge/7dLtd7t27Ry6XY1Ipk3YfRRDHeKlDXlQKO0mwggCr1UK7bhYZ8nzfqCYDx771Lbq/83cST0+jej3KWtMFOp0OWuv7VPWjKGJhYQGA8fFxigPZV0mSZPXvD2qtB2T97Pvk83nOnj27q3MFQRBGDRVFYFnYadtPq9s1Zatag2VhtdtGb0pr4vHxLGPVf/rpPR9bECe8crNDN9CUcipz3H/oQpmWn0jv+X1mZBx6rfVl4GUApZQNLAD/eItDf1Nr/eP7OLR94cikBKZRnaRUMunw26Vhuq5J50yfV2FIPDaGU6vhnz+fHaaB4kcfodMFm9VogNZmV9PzSAoF3MVF7EYD71Of2vUwC47FT39mkmo3ZqZkU3BGc1ISBWdhGMRuDid2r/fQLYb6PejLcWzKkIIgi9wopTh79izXr18nDEPm5+eZUYpiHJuoTxzTSxeUY60WulRCBQG5+XniSiWLDPXiGGybgmWRW10luXSJzpe+hOX7zCUJK4UCYRhy9+ZNjp05g+u6JEmSRdGjKKJQKHDy5MkNY7csC6UUWmuazSb5fH7HNnuVSoVcLkeSJHS7Xbrd7tH5bR1hZL4RhuWo246KItPVqds1wam+hkmvB0EAto27sACWhS4WyfJeH0G5fre0/IRuYITwGl6c1cnnbGtf6+W3Qu8gmP2kMjIO/Sa+DFzTWt866IHsF7WVFSYPehD7hApD44AnyY7RpuDkSXQuR1IswvIKK8fPUJme2bDjZ7da2N0uwblzOKurRtGzUMDudDKn3vJ9s4M5SJIY9fx2O8sC2EzBsTg9PpqOfJ9aumsrCA+D2M3hxOp2sR5C3C1JkkwQr5Q66CoMN6Ri2rbNuXPnuHHjBnEcc/HsWT597RpWGKKShH7R0linQ+d73zPtiXo9oulpnNVVCpcvs5TWbZaSBO04OKurAKggYCwMOXbuHMvLyzR6PRpXrmApZRztdNFZLpc5ffr0fSr2SinGx8dpNBqsrq5SrVazWvzTp0/f19Pedd0sGj8+Pk6z2eTOnTucO3fuvmOF/UPmG2FYjrzt9EuV+lpSQYC2LApXrmCFIdHUFO7SEuEBlCb00+sbXnwgdfI70XrvvYMewr4zOp/+Rv4o8Pe3ee53KqXeVUr9qlLqpf0c1F4y9YitIw4TKo7Rrkt08iTJDousZHwclMIrFHl9JeLb8x6v3OxsaH8Rzc0RHj9uIvmWZaLyuZxJCVXKKDL3elit1oZr5xYWKHz0EaXXX7+vlj/jEOzw9WtgBeFhELs5nKheb71echcMCuKN9fvEbzGv5fN5Tp8+DUC3UODyuXMQBMSAlzrdlVaL0uc/j0oSo4PiOOh8nsL779NNr1MOArTjYPV6KN83qfu9HrOzs7wwP89Er4dlWegkIRdFVCoVzpw5w/nz57dtaXfy5Emmp6dxXRediuzFcUw+/+DOI5VKBaXUuj6AcCDIfCMMy1GzHRUEpqd8/+8wzNao+Rs3QGui6Wny166B1uhi0bSJPoCyon56/e86XzqQOvmdGHvxxYMewr4zchF6pVQO+IPAn93i6beA81rrtlLqx4B/Anxii2v8HPBzAKdOnWJubg4waplRFGWiO77v02w2s+eTJKFarTI5OZnt8tdqNQqFQiaq02q1SJKEiTSq63ke7XY7E+6I45harcbU1FS2QKlWq5RKpaw2sNVqobVmPO3P7nkejuuS/8EfJBkbI/F92h98wNinPoWVLlpa771H4fRp3NTx712/DpZFMW3VE6ysECwtMZamlSe9Hu2PPqLymc+g0vfSfPttihcu4KYTZPfqVax8nsLZs+Yai4sEtVr2RYg7HTqXLhlxiTQq0nzzTUrPPouTvv/Oxx9jl8sU0sWgf/cuUbNJ+ZOfNNdoteh8/DHjn/tcdn+acUz5hRew00hT59IlnPFx8qdOmc9jYYG406H83HMArC7WuPZxm9/zY99PEGuKFYv4w/cof/KT2Kkicvujj8g9+yy51LlXi4uo2VmKn/oUxYkJNNACZtN7bYUh3Y8+ovLCCxRmZsC277tP0W/8Br1Pf5pK+pl7nken02Em/bt/r6enp7PIUrVapVwuZwJOzWYTpVTWMqnX69HtdrNrRFHE2trahmusrq4yNjaWXaPRaGBZVnaNbreL53lMT09TKpXQWlOv15mZmcmiVysrK4yPj2eL3nq9juM4WZSq0+kQBEH2YxkEAY1Gg9nZ2SzFdXV1lYmJiUwpem1tjVwul6lQj/L3adTuE0AYhiNznxzHkft0CO5Ts9lkbnISXJckjkk8j8qFC5TTezd4n5Tv01lbIywWN9yncrnM7Ows+cuXUWfP0gzDLe/T3MwMzx47RvJrvwZJgn3uHLkf/mF+KIpoTE5yYmyM3HPPYQUBrYsXs98nq93mt7/zDsWZGdSLL2IdP4538SLFJGHis581Kf6FAjnP49ypU3gvvYTz3nt43/kO6k/9qV3dp+PHjw91n2q1GlrrzN5l3juY75PjOKPzfZL7tO19Gql5L71PpVKJtbW1I3Of/O9+F7fTwfqRH4E4Jmw0sMbGKPzAD1BptYjzeZorK1S++EWwLJKxscezLn/zTcrPPbfrdXnUaNC9epWp3/F5SpEmpxK67757/7p8eppcqrDvzc+T+D6lZ581Nre2Ru/mzUzATochrffeY+zFF7HS+9L+4ANyx4+TS+2hd/MmJAnFVCMgrFbxFhaofOYzAJn/VLxwIbvGTv6T1ekQT03RtqyR/z49CKW3i04eEEqpnwT+L1rr37eLY28Cn9dar253zEsvvaS/8pWvbPf0yDA3PU30t/4W0fHjBz2UkSKIE755o8P1molKPT2d4/c8tfVOoNXp4KysEKVfSqvbBaWIpqdxFxdZ+8N/OBPGK/3Wb5G7excVBNR//MezHp8ZUUTpX/wKNz7//UycmBrZGvq5ubkNLacEYTeI3RwOlO9T/q3fov0DP4DyfaZ+6ZcITp2i/Xt+z33H5q5fx+p2t9UKmfin/xSr06Hz/d9PeOpUpjvSp/jBB+SvX0elkfzub/ttjH3ve0QzM3RffpmJf/pPKf6r/yrN1183mVV9fZNuF3dpiaRYJK5Ust71nd/5Oyl8+CF2u03z9/0+xn/t18CyaPzojzLxy78MQP0P/aFsHPlr10w/5SEiTVEUbRnhr1arLC0tMTc3lzkIwv4j840wLEfNdipf+xqW59H48R+n+O67OCsrOPU60ewsdq2G3W6bEtPlZQCiA+yQtZ0o3igw/rnP0XzzzQce5ywv0/zyl4kPQZb0pz/96Te11p/f7vmRi9AD/wbbpNsrpU4AS1prrZT6AqZkoLqfg9sraqurjB/0IEaQlp/ghZrnZvNUOxGfPV7YdsLQjmPqi/oCImkLD7vdhiTB8jzi1KG3Wi2TEup5WGFIrPUGEZGg63HxapXv5VbQy4qf/szkSDr11eoTYf7CPiN2czhQYZi13lRBgIrj9Z7Dm7BbrcwZ33AN38dqt7HCECyL/LVrKM/Df/75DcflbtwwpUlKoV3XiJfmcqbDiOehlKL7ne+QbKrV1KUS8dQUcbmMe+8eyfg4WinstJ2SiiIq3/ymSRvV2nQh6c+1UYTdbBJPTlL46COiiQnTunRs7KEc+6WlJXzfZ2xsLBPc63Q6tNttcrlcFjURDgaZb4RhOWq2YzebZpMzDCl8/DE6l8u0puLpaeLBueyAA7LbieKNAu0PPjjoIew7o/HJpyilysDvBf7RwGN/Uin1J9M//zDwgVLqXeBvAH9Uj1qKwZAUpU/ulhQchaWg6cdMlWymd2gfp3M5wuPH0ZaF1e2i+zWWqQJz2Oqw0Azxggi7280iSYUPPsAdaHUEUF/rkrS7nHBiGt7o9qGX/srCMIjdHA5UFBknPYqMmF3aJcTeoibcarexOx2K77yz4fHya69R+Y3fMEKgto3V65nexb6P1Wyadp9LS6buPQxNjX7aKaSPU6sRT0zgfOK+CjcA4rQsQClFUiwaYdJazQjrpW3u+pEkO+1EAmAFAaU338Sp1XBqNexmk/Ibb+A8pBDW+Pg4juNkbeuWl5cJw5DZ2Vmeeuqp+8T2hP1F5hthWI6S7bh372KlASh3cdHoP3W724tH74OS/U701+drXjRyoni5I5jtPFIReq11B5jZ9NjfHvj33wT+5n6Paz8olkpEBz2IESOIE16d7xIlGttSfOlsaed0HqWMYn2SYHW7JkUpDLGCgMC2+eobd7gyrfj81bf4fcW2iT5h+thH9Tp2sQhJQjw9zYwd4emQzlqTidmTI9uHvlgs0m63D3oYwiFD7OaQEEWoIMCp142jbdso32fs1VdpfvnL65uWgN1uo3o9cr0e3nPPmfKitH+x5fto2zZZTN0utlI4y8u4i4tEU1MUL14EUgGmdJFoBUGW5eTUaiTFIs7TT8MOaYxBqsei4xi3VjObCJZFNDubpejba2smC4B0E6Ldxl1aQvk+hY8/xr13D2ubjYPtqFQqWS2jMHrIfCMMy5NsO1ajgVutEpw6RfGdd8jdu0d07Bh2s0nx4kXimRnce/eI05r0UeKh1+f7TG5uDu/27YMexr4yOp++IGyin84zVXTQGrxol8kYlkVSLqNdlySfR3keTZVn7PYtvv/qm5TuLeCvNY3KfrFoFsy1GoWLF8ndvo3yfSorS3zmVIkfO65HNt1eEITDRf769fU2RLtARRFWGFL48EPcpSW0ZaHiGPfePdy7dzcca3U6WFGE1elQfustcrduQRgaZz6tL+8r0NvtNnazibu8TPHiRVOWlKbEk/Z9Vr5v/h/HWK2WaR+6W2w765ccnD2LHjjXbrfRuRwK49Bb7TbuwgLx5CS5O3fQjmOi+IIgCE8QzurqhrnNXVwkf+UKdrtN8fJlk4VVKJjSpLU1klLJbH5u19HjABOUh16fC3uGeCkjQmugTYVgeJQel+GpU8axLxbR+TylSoFjXgNrcZF83sV6+rw5ME0tdVdWyN++jV2t4t67R+HiRexSkZlOnWo3xouSHV/PWVnZMg0W2LKutc+jLlxbm9rxCcJuELs5AOKY/KVLWJ3Ork9RaYTebjaNLkj/sSjCqdWwOp3McVdhCHGM1W7jVKvkr13D8rwsGo5SxtFOU+ndpSWSeoNmrU2AicrH09PoctnMi76fbY6qIEDn80ZheLdj19pE6Dc/7vvoVPHa7nSwOh3sep1oehr/2WeJp6c3zIvK81Dd7n3XEQ4PMt8Iw/Ik2U7pzTcpfe972d99vSfleSSFAlFfuLOfSq8U/jPPbOnQJ6XSfcKm+8ko96AHHuq36klhpFLujzRPhhTAY6Xf47LlJ1Ty1nDpPI5DeOoUrtZ8/niOdmJRKuVQRSOOh21DEGB5Htp1cRsN9L17aMuiMzPLO+/d4ZXCArmp8R0j9e7duySFgqklTbG6XVSvR+HSJTrf//33naN6PUpvvEHry19++PeV8oRISAj7jNjN48dqNLA8b9tOJVa3i9NsYnkeSVoa5KysmDlDqczJHaTv0Ku0nztKYfV6JKUSVquFs7RE4dIloulpswhMxT8T38fxPJxUUKpfaZkUiwSnThkhukaT92/WaVgF1HiZL50r41RM+xxnaclEi1zXlDGl7ZC2ctC3IykUsFc3NaCxLPMZTU1hYcRJyeexfB/SLIIkl8Me2ODOX70KSuG99NKuX1sYLWS+EYblSbId7Tg4KysQhkb0M53P7bU1U5L0EDXxSdrq7KB4LOvzveQhfqueFEbsDhxdKv0Fk7CBnG0xU3IefbJQCn3hPOWzJ1Bz6yrN2rZRad18dPw4RBHuwgLRzAyt2KIbw3OtJfK3bhthPK1xlpawNymvWt0udr2OXavh3rsHmDZM+Rs3cNbWthyS1e1it1pmch+Sfs9UQXgYxG4eP06zibu0tO3zdqeD1WxmqvXu0hITv/IrjH3724z9xm9seY7yfUjT7lVaB6/CkGhyErvVInfvHs7amlkkplH1fhkRQG5+fj2VXimwLHSxiM7l8NZaNKw87mSFNatIwy6sv7BlYaUO/SD93r+7IZqdJdh0fF/UD9c1402d+37tvfkgTZ0/UYTyffI3b+Jslf2UJOSOWI3kYUXmG2FYniTbsXwfFUVm3UfaucTzcJeXN27oap1pjowqQZyMrjPPw/1WPSlIhF44FDzq5LF+vr3h/KRYRMVxttupHcfs7LkuFStBT04wfvkiZ3TA6ZfGGP/OFeKJCaKpKdPzfnaWeHYW5XnYvk+0toZTqxGePGnqQ1st0/YpddpVt2uicxiH3up0sMKQ5ABTpwRBeAyEoYmiY2rD+863LhTQrovVaKC0xlleJjx2DKteRxcK5ObniScmsNfWiMfHwbLI3b5NcO6cWfCl17aCAO04eC+8kG0sWmlafP7qVaMZUiqhHScTt8tfv0548qQpBxqIWCTlMqV7SzSnThFpzdjmlEmlzOZAocDQbFH7qQdS/tEad3XVpJkORqbSfxeuXKH4wQdYvR560+LWarexPI/8xx8TnDs3/BgFQRD2AbtWM4r1rmsypKanTaeRIMButUgGHHqdy5FsVzd/gPTX0ZaCb9/qpr8d1kj1nz/KiEM/Ini9ntyMbQjihFdudugGmlJOPfTksdP5ulAgGli0Dvb4zNkW3/+JKTq3PbRdZOyNN3B7Hax0Es7dukX305+mNzuL3esZxeZGI6v/VL2eaY/n+yjfx0mj950vfhFI+0anzzFkaxZvh/p8QdgOsZvHh7uwgM7nTXu2VEguf/kyOA52vU5cLhNcuIDV6RCXSkYYT2usIDD91icmIAgoXLyI99xzWL5P6fXXjdPv+6YnfCpuF/eV3JUyjnEYEk9Pk79924jPpYvAvghdUCiA62ZieH182+E3neNE0dYKxdqyjCPtbPxVCh+xJ3RSLGZlSfHUlKnN36LUAEyqfVIqEc3M4Kyumg0JpcxGxdWrZjHc6xmRQUd+PUcZmW+EYXkibCeOKb/+utkkLZdxqlXzmxAEhHNzuIuLeAOdPeKpqQMc7NYEccI3b3RY68bUvJgw1hQdi6TESPWf7/Oov1WHEfkVHBG67Tajklg0aqk0fTXNiYJNw4sfevJ41PPfSMbpemYz4EfKilzaF1RFUbZItjwP4hh3ddX0EQVsz8PqdLJe0u69e6ZWKsVZW0NpnaXHDkPnIQS2BKHPUbeb3PXrRMePk+zQDkh1uyiM+NBO5G/eJBofRyVJ5tDnlpZIXBe71cJuNomOH0eFIUmlYqLLvr+uYuw4OO22Kdnp9XBv38ZutbDS2nmdz0Mcm38PlGZZ3S5JpUJSLuM/++zWg0szf5KxsQ3p8y0/oR3bTBXNnOhFmvKgX23bqDi+L+3TW1jY8bN4IK6bLVZ1Pr+9ejPm/UVzc9kYlOdRev99ookJcvPzRik/TWEd3HhQnocKApInKFX3sHPU5xtheJ4E21FRhL22Zn4DikWctDRLeZ4pf/rkJw94hA+m1o25XguIE03LT3BsRS+MSNAUnN3X/u8Xj/xbdQg5eG9NAGC6r255wPSj2d++1eWVmx2C+GCFJYI4IYw1BVex1otQioeePB5FjXNwM6AbaBp23ojdhSHatrF6Pcrf/a6Jstu2SaPv9Uy0Lk2p17aN5fu4Cwvr7aEwKVhJPm82A4YUfpmZmRnqPOFoc9Ttxr13L9t4247c3bu4t27tfCGtcZeWcKpVVFrnbrXb2GtrWP2snXY7c9C14xAeP46zumq+96kwElqbGvt63WT4uK5xVj2PaGaG4PRp49APOK7BU08Rnjixq/erczmSgT7tD5oTdSqwt5nKZz6zq9d7VJJCASsI1jcUtMZdXsZZXqb40UdmMzTNiFCb2gCOvfoq5e9975G0SYTHy1Gfb4ThOVS2s11nj1TcVFsWOpcz2ZlBYLKsbPsABjocWmt6kSbWEMemZd1cyR7JlnX79Vs1SkiEXtjAo0azHyedIOYb1ztEWpO3FZaCWGtene8+VNr9o6hxbl74lqbH8acruIuLRsU5XawTx0bMyfNMumq7DXFMeOJEtrDP6uh7PXBdU0+Vy1H46CO0664vzkdcDEUQDjt2q7Veyw3Yq6uoKCIacJBVr5dF3LfD6nQgLaeJUid8/GtfW3fQfR+d9hTui9rhukZwbvBCSqHi2PQpbrdJXBer08Gp1YhnZsycoPWGxd92qeq74UFz4mBq/EGQVCoEA9kT8dQUpbfeAkDFMVFaf6p8f8N9JAxxVlYIT5xg7NVXaX/pS1mWAmCyIopFsO0DbfkkCMKTh3v3Lk6tRu/TnzYPxDGFS5fQtm3KO48dy461m03z+3BI1nvTJZtT4y636iETeYUfw0TeYrxgj1zLuqOKOPQjQhzHBz0EYHR6S3aCmF/5uMW9VsRY3qLkWlgKjpXdoTYajFr+w7+X7Ra+yveJZ2dNPX23i4oiwqkp3KUl4nLZiFApRTI+jgpDE3VLF+3jX/+6EXJKxZ9yCwtEx46ZfvWO80CRJ3d+Hl0sGkG+3dpNklC4fNkIaglHnlGZb/aUvrL7Fo/b7faGUhd3eRkVhriLi/RefhkwisSDUXy70TAt3FKc1VXj0PfLb/qbBHFMeOaMEapzHLDt9b7qfYc8ikg2O8ypSBxRBK5L7s4d08s9XfD5zz//yB/JIDvOia67pUOfPGCD47Gh1H2bFyqKQGvTjURr3EYDFccbIvR2q2UypDzPiE11u+v3LIoovfkm4YkTJOPjIqa3jxyJ+UbYE0bddpTv46yuEp4+jbOygruwQFIq4T/9NPmrVxn71rfwn3lm40m2TeH9942uykDm1CiTsy1+7zNjWZCt5Fp89niB6ZI9EqW5m9m336oRQhz6EWFtdZXJgx4Eo9FbMogTvn69w71WRJxA20+YLtoUXYu1XoRtqX2t2dlq4RtPTpKUy0Y4SilTy1osEqZOvrOysn6w45i+ykoZ1ftGw9TS27ZZXJZKuHfuoG37PlVpFQRGLXowytRokCQJzM5Sq9V29R5UGOLcuwfi0Auwa7s5zFS+/nW6L79MPDu74fF++qM1ILZkr60Zp7zbpffSSyaK3uthp/WbVrvN2Le+ReuHfziru89fvmwcbkBjdDRUkmQRl2huDm1ZqDg2Ufd8PlMyDk+fvm+82rZNSU4UEc3O4lSrjxSF3wvaH3xwYK+tlUL101n7ooBaG4c+jrONk34plO15WAMOvZWK6NmtlsmUeOALbrMhJDw0R2G+EfaGUbcdq9Uid/s24enTuKurOPU61nvvkRQKlN5+m+jkSaxN5T/RzAzu4qLZtDwkEXqAcs7m939ibKQ0trbjIH+rDorRvRtHjKlNi86D5LH1fh+Slp8QJ5qxvIVtwcmKw+99Zozfda6EY6ks7f4g6/vj6eksgpSlUlkWyfg4SbGIu7yc1VLpNBUfrQlPnza1rydPEh47BrZNMjZmNgGqVVMT6nmobheA3I0buHfvbnhty/NMzT4wPaDKv/OAY/OjMmStvvBksWu7OcTYzSbuFsI4KghMb/d+P/g7d3BqtSy6m791y/SLTx1CtCZ36xbu4qLZmEtx0np37TimtVySbPh+xRMTJJWKiXRrnbWY2w4N+OfOEZw/j3YcnKUl08ZuhBj71KcO7LWTiYkNAoXacUgKBVQUUfna17BrNZzlZZJy2Wza9HpYzSbK88hfuWLubypUaj9AaCt34wZjr7yy12/pyHAU5hthbxh127GiCKvTIf/hhzirq2jHwW40yF+7hs7nSfL5LLsoI83etBuNQ1VDDwfvH+yWg/ytOihG+44cIexD9qXeSyp5i7G8xVTB5sJUjh97rkI5Z4Q3Eg1TBYduYJQ2D5wtHOSkWDSp92lkSDtOlhaalMtG2dl1N9R2AtjtNlanw/hXv8rEV79q1LA7nay3dR/l+1m68KDdOCsrWzvsSYJKkvVIlnDkeeLnmzRym799+77vhAoCVBxnEfrSW29lQpdWt0v+449x6vVMLV0FAe69e0adeHkZwpD85ctG8K7ZNN9nrbdUhV9/0TTSu4NDr8DUdqcCdv6zz45c9MY6wN7IOpfboFwfnjmDLhRQvR7O2hrlV18lf/Mm8fi4uRdJgrO6Svm11xh79VUK779vUvFTTZOdcKpVE81vNGQT9DHwxM83wp4x6rajwhC706F4+TLaskz3lFLJbPbm8ya7Moruy/ZJyuVdi5oKD89B/lYdFKO1WhAE1tP+f/BCmT/wiTHKOTOh9+v7h1W73wusKLpfXMm28c+fz3pBa9s2E/pOC0OtIQyNU+95qCgid/OmWXxudujD0ChAb6Lw4Yfrzn+SmLTiTofSW2+ZWtP0P0E4dIThlurB25J+36xej7FvfWu9hp00Qm9Z5rsSRdidjimBiWPTmaLbRfUF7Wwby/Nw6nWi6Wnce/dwV1cpvfeeaVPXbJLkcqZXvO/DVvMBmO/3gxzDzc+P+EJ2FMjKFJRCgcloSDsBJOUyuYUF3MVFglOncNbWTAZUep93wmq3UUlC+bvf3Vg+JQjCkcRZWTGaKZtQqWaHimOifqat1qbnfC5nuh+lpZObSQ5J/XwQJ1S70YF3vRJ2Rhz6EaEmi4YNbJXWk7MtvnR2dNLuAaKpqa1FTQYX9baNFcc712MqZfpOex4aiCYmyF+5Yhz6gVpfACttjwVQrVbNg0mC1e3iNJvY9TrO6qqp8fV9kyYcx8bJ2UuHPo6xV1f37vrCYyOzm0NC4eOPcdPevbvBCsN10cnbt7EGUuVVEGSOev/f/ic+kQms2Z0OTv87Y1lG4DJJ0MWiSaW8ciWr1Q5PngTXNQ59GJqSm+162z+oHvsQ1Gu33nvvoIewEcfBarVMCuvYWLaJilImu6G/CeS6RnQUzDz1AIfebrUgSbBbLXI3bz7aGMOQ3IPaHz7hHLb5RhgdRsV23Lt3zW9BitVomLKeTsdkPybJekaVbZvfIMcxc1GS7E63YwTpBDH/8kqbb93qjEQr690ycr9V+4A49CNCaWzsoIdwKBi1tPukXM4iQtuiFMTxhh7Sm9H5tL99HJvU27S1ld1umzTRbhc7FYdRYZi1aiqXy1kk0goCCpcuUXr9dSPw1euZaH6nk6Xcq4eJcj4kVrtN/tq1Pbu+8Pgob+d0jih2o3Ffv/FB8pcurTtskH0/opkZs7gayHJRYZjVORY//DB9AaNUn5TLqCDIulSAEczLBNKUwr17NxO866eA67ROMp6Y2FrILu01vx3x5OSBtonbLYUtxPwOEt0XHN1MuhkTzc5mUbPw1CniSsXMsb5P5atfzY7dELHXOsviII7v0zB5WKxu98g79IdtvhFGh1GxHcvz1lsPex6lt96i+NFHRtwuSTZsyGrX3dBFRaWinYeNvkD1rXrAWi+mHSQHvubeLaP2W7UfiEM/IhT6kQVhRyp5i4KrWG6HFNyDa6v3sKgw3HFCT4pFo3C/KYLed8zd+XnGfvM3zXUGaugLhQLO0hKlN94wjyWJifRHUZa6b6XH73UNvUqSB/btFkaDwqZuCqOO3WpBujl1H2FI4cqVDXXRWW9y2zb1jK1W9pzleWjXJR4fJ3fnzoZzoqkpgvPnzeukDni/QwVAUiqRlMvEExMb1PN1Lof/9NPbjn9QR2PL53O5kVO03wp3Zuagh7AB7bpbfq6qX/qQtg0E1jde01aAdmov7r17FN95h/zlyxTefZfCBx+YeSxdpFu+n4mUDoMVhveVTR01Dtt8I4wOo2I7KgiyzEgVhtjdLna1atZZmzIw47Exs5mconO5rMPJYaIvUF10LVp+goJDs+Yetd+q/eBw3BlB2MzoZ6duQNv2jhO6zuUIT53aGEHX2kTYPQ93YQFnbQ27VjOqqv3d3yQhd+cOTrWaOfR9Fe++E69S5Xz2uoa+/9qC8JixOh2c1VWK77xz33NOo4FTq23YTFIDbYJ0Lrch5d7q9YyjX6kYe00d92h6mqRUyrpS6LSlkNXtZumSydjY9nWPO2zY6Xz+UEZoRh3tOFn7ukHCEye2LoVK0/DDY8eyn5DcwgK5e/cov/UW5XffpXDtmpnL+mUbSuE0GhTffdeULWUvrk32BhvtbTNqu40oQRBGH61xVlchCLB6PXI3b5K/dg3V6xnNo3bb/D4MzkFp96I+4YkT6+VAhwijW2XhRxrbYuSV7Y86cndGhNaAaJOwPS0/wQs1x8ouXnjwKfe7JTxz5sETumWZyFJ/4a+U6b0cBLirqySFQhZ1JwggDAm/9S0KFy8aAbwgME57GhFSaU2+CkMTZQrDPU25V+LQHxqaW6UpPyKPUz9BeR7Ft982f6RZJlans2V6tdVomOfW1nDv3cNqNil8+GGWjZK4rild6W909Z11MH3k07rHpC+oltbNJ+Pj6LQf/aNGz0dZ0fhhBI9616/vw4geAsvaupTBdbfsEKBte70bQZqx5C4sQBCgLYvg5EnTp75QWK+/Vwr39m2K779P/urV7Fp2vW6ypjyPsVdeyaJ3m+l3SmCHDI0nnb2Yb4SjwUHZTm5+3mzseR7Fd981gZReD6vVWm8xnGqu4DhPZDeMnG3x2eMFZss2z8/kafsxte7hEFYeud+qfUAc+lHhEAgijQKjqHT/OFFRlKWG6nzeCODFsVkQ2rbZDU4F9MZefRWn1TI1okqZVPy+un2rtZ52n9aMqtTZr3z96xsWl87q6ob646FJ0/2fxB+2Jw31mOcb5fsUhxWhiSJyt29veMjyfZxUDCnrG5/2EM9dv26E0FLsdhtdKJBbWGD8V3+V/PXr5G/dWhemdBysdpuxb32L3K1bGxz6eGxsy17v3osvmjR4xzER+q2U658AgjjhlZsdvn2ruzvBo23a6B2oCvLApswD6Tv0qaaB3WyaObcvoue6hHNzRNPT2eZnUizirqyYbgfVapZ+7ywv4y4ukpufx261tq7lB1RfG+UIdxh53PONcHTYT9spf/vbOIuLoDWFixdN9s7du1lbU+X7JliStr8E8J96Cj1i7UUfJ9Mlm4mCzdVaQLUX8+6SdziE8Z7ge7IdR+8djyiVLRaVB8Uot6jYD6X7g3z/Ko7XnY1Sibhcxm42SSqVTMgLy0LFMe7iIsV+e7zE1Df1HXqn2cRK0+1JEvPjE0Umdb+fnp/i3r69oa3X0GNPkr1X0hceC5VHbZezKdOjnwXyUK3lUux226QzD6Ytp719iWOjCZFml1ieR+mdd6i88gpWs2k2r7pdkmLROGeAU6sRVyrrLYRSBfTcnTu4i4vYvr/e2mxszKTDb4N2HBOhf0Id+paf0A00EwV7VyKjxQsX7nvsoTcFHjMbspoeQFIsrqfiK5UJHkYzM0TT0wAmOj+wGEyKRex2mySfx+71GHv1VaxOh/yNG8Tj47jLyyZDJBUtZVP6vd3t7n2504jzyPONcGTZT9txV1fJf/yx+V1pNslfuUL+2jXjxPu+2VTudjd0GtL5PEmlsuXG8JNAP0o/U7J5bjZ/aDJjt/qtetIRh17YwEEvznbDXirdH/T7jyYmSPqp+a5LPD2N98lPGvXsAUVn1esZoa909zo6fpxoaipTU1VhaETE0mik1e2itM56qVoDi06r19tysWk1m+QvX9794JPERKL2MK1fGAGShLHvfGdDJoYKQ+N4P8BpcRYXGfvWtzY8ZnW7ONUqTr2OvbpK4cMP17Uf0rKRvuJ4X2nY6nQov/467uIiqtslKRSw63WiyUmTMr3JAU8qFYIzZ3CWlzdE6B+EdhzTneIJrX/vZzw1vJhSbjiR0YfdFHjcRNPTW9fLb4HO5YhTxx1MdpJ2HJPNsd09TrskJJUKVrNpWoJeu2bKMsbGzMZSFOEuL6O6Xcqvv77hdKvbNXPiDnX2giCMAFFkIvLtNnb6n9Vum9+iNP3e6nbNb5LjrJd1lUqHskZ+t0yXbKaKNm0/Gfp3Qth7HtBvS9gvet0uoxADGlycNbyYlp8wUxqtL+/jWIRux0G//8HFZkbqtGvXNQ46JiU5qVQIFxbMMZZlFqRptKrvWFu93voPT5qqj2VtEHGyer0to+p2u427skLw1FPkr17Fe/HFHcfeb41HFMEhVHQ9SvQeQXVbRZFphRiGWW25CsP1OuFtotlWu03lW9+6Lz3RajRMOvPyMna9biLs4+Nm8ZQKEWnbXu/UkOKsrBgH3vdJSiWimRmSUglndXXr75HjrAvn7dZBt22CJ3inP2db/NCFMi0/oZK3Hih6FKys3PfYXs7Hu0GXSkOf666umoj8A/DPnAHHMRuiQUDxgw82CChi22aj1PNwNmU7Wb1ellV1VHmU+UY42uyF7aggML9dcWw268bGjL5Kuk5yFxfNxnGzmX1vdb+kMI6xfJ9ocnI9+PKE87C/E6PAVr9VTzqjf1eOCL1HaIvzODnoxdlu6E8uv+t8iR+6UH6sk8t2738UyhD6Dj1K4b3wAsHJkxt+7HQamde53Hqqfbdr2nalUU7l+yT5/AZl6O0i9CoVgLF6Pdx797LH7VptY9/mPkliUkslQj/ydB9lvhlohdinL/y1ndMy9hu/Qf7aNVAqK82ofPObqG6X3J07RJOTuHfukLtzx6Q0drvZa9jNZqYnkeTzJvqeZp24KytZjXs8PY3O5Ux69HYp8v0e40JGzraYKTm7mkeDpaUtz9+r+XivUb5vIvRbPjlQu+u6Wd19UigYFf3JSXNuHJvsqb7NdjrrGiVRhF2vmzn5CDv0jzTfCEeax207qtul8o1voHwfp1aj8NFH5vEgMN9x28a9e9d8Z4OApFjM5oi+DhFRRFIuGyHVI8LD/E6MAlv9Vj3pHI47cwSYHuhpfJAclsXZXk0uW73/g07Dz7BtrGZzPfpo24x99rPrzytl6knz+UzkToUhcbmMSh1/5ftZhH78a18jf/lypoB/38ulzrzyfZPenzrqhcuXjZDeZlXntE70KC9cR4Y43lHLYGbIHq1Ws4m7spKlw/fZ7NA79+6tbwIlCXazSe72beKxMdDatFpcWaF48aKpRZ6eNpHN1IlyVleztHu72SQpFFBBQDQ7Szw9TTQ9TXjmDM7amrHdftTfsvCfemrbLIF4ZsYo2wtDMfapT235+GFb7PXJ+tVvxVZ2kjr1mb2l2VDatk2JU7uN5ftGkySOM20SnXYwOaoMO98IwuO2HSsMcZeWyN2+jQpD3LQ7S78VcDQ1RW5+nqRYJLhwgejYsWyOUFEEYUg8PX1kovOHle1+q55kDtevr7AvHJbF2V5FzTe//4OuER3Ef+65bdOF+6n2ST5vao3TXso6n8/S6vsR/n7rldL77xvHKXXoC5cuZY6a3Wxmyq799ndoTe7ePZylJUpvvrnh9bO2eOLQHzild965r5b3ceDUauTm541A0IBD37e3fmTSXVoid+sWYJx9u9UyHRpSAbrc7dtY3S722prp0ZvLGVu1bWOf7XaWUWK3WmaTqv88gGVl52yOuO8ocpfLEZw//zg/kieC3cylQZzQDZOR1FUZmiTZWQ15k1Ovomjj/Nt38LU2/eqrVVQYUnr7bdylJdw7d9D9Y6LI6IxIhoggHBj93wyr1UKFIXajka1zAFNmde6cEVXtzw1KgVLElQp2q0U8NfXE6qoIh5fR9tiOEPER3r3fzG4Xl/sVNR9Mwy+4ijDWI7OoTQbry5Qy6Z+5nPl3FJnFo2Wh+r20lUI7jhGDSoXG6LfFw0RWrV7PqIynYk92GnVSQWAEYtptnLU1oxA9gIrjTBhPOFjsWs04xdsQDTnfKN83UcggyBZA7sICuRs3TImH55mIfL2etf9RYWj+6/f/7jvsWpt0+TSdMZ6cNGnMuRx2r2fUxet1sxHgupng4yDh3Nz2KdPCrtjNXNo/5tJ8Y2TFUofiIVtixWNj9wvwJQnYNhpMq8U0IyV/+TKlDz/MMqpUHONUqxQ++GD9XK2x0wjhk8yw840gPG7bUWGItiyTfdhXr2+1yF+9un6Q42zc6Es39uLJSbwXXnis4xH2huQI6naIQz8irKU9l486u3XUW35C209wbUXbT/Y0at5Pw//iGZNi9dqd3sgsattp/ReQKYFjWfjPPmsi9GmafHj6NP5TT+E/+6yp90wdKpQyTngUmcVlu40KQ8Z+67dwlpfRtp059v165iwVutXCajTWW5WJQz8yWEGwo5L72qbNmN2SCdNFUdaP271zh9zdu2jbpnDxIu7du9iNhqkpbrezOsTwzJmN43OcDSnPSbkMtk1SKGB1Oqb/9/JyluLcj+QPootFwtOnh3ovgqHWjVnrxYzlrW0zkPpZSnfeev/As5T2jS2i98n4+H0ZIFYqRGpFkdmgyuexfJ/c3bumxMS2TWp+qo7tpA68Oz9P4f33Kb311r69pYNi2PlGEB637agwNN/HtJe8CgKc1VVy8/PrrU53vMDDbQIeVkZBN+pR2LA2PiKIQz8iTM/NHfQQRoLdprcXHEW1G3O95lPtxhScvZ1kc7aFayu8cDRS7/tUPvOZ7N/acTb+2CRJ5mwn4+NZdDNr8TU9bSKocYxdr1N8//2snt6u1QjOngXbxq7XTTQ1DHGWlkhKJZNiHQSU33gDJ+2/rMIQlWYJCAdD7vp17H5d+Q4O/fRmFfgwNLoL6b3fwICQnOX7xqFXytx3rXFaLcKTJ0nKZSNUd+8elueRuC7u/LxpkThglxpM+rFtm2ttirDrXA4r7ftt9XrZufHExJFZTO0HQZyw2Ap5655HtRtzecXobmw1l/azlC58328bWbHUodhBwFMlyX0dGbYimpggKZfRSmUie9q20bkcSRrNj0sl8gsLxnmo1yFJyC0skL91y7QifcIj2PfNN4KwSx637SjPQ7sutu9nHVTsTsds3m33fe+XzRwR+oG1b93s8GtX2nSCw7emG1wbHxWekF/lw4+1i4XDUWC3KvtepJkp2zwznWembONFj2+y3W5nchQ7AKgBQSedzxM89dT6c2G4dTqy65qoZv9crbE8D3dhwaSf9XpGxd51jTOXLlJVEOAuLhJPTJherFGEU61itVrm9aLILGrFoT8QVBBQeuutrI5Xb9pcsRsNszkD2JucfXdxkcLHH2M3GhSuXDH176muglOtUnjvPcA49MQxyfg4uVu3cO/dw15bI0lbh6kgIJe2UownJyl8/LFJzR/sWY9JP9a5XLY5sAHLMqJDY2NSb7xHDC7YbtUDnprKkWjohQmvznfvm/v6WUrPHi+PtFjqw5CUSju2rNOOc19GyJbXGR9H53JEJ0+aLBTLgiQhmptbbzlaLGLXapmYqPI8nKUl7GZzfZNsl5Rfe23HjYhRZPN8Iwi75XHbjtXrmSwazzNiwblctobZDm1ZT/ym2yD9DNg1L+Z2PeAb10cjI/VhUNuJnT7BHP5fZeGJYrcq+5W8xVjOIog1YznrsTnX26X8B7FJ6//S2dJodwAY2Bjyn3mG4Ny5nY9PF5wqSUxvcd83Edr0cavXw261SIpFrFbLCJQVi1ipk291u+sR+n6N9BH64Rsl7HodZ20tE96ywpCxV1/NnncWF3FTZ9vqdLKUebtaxW42jThQFJn6348/Np0NMO0LnX5JkOdh9cXpXBdnaWld9VtrLN83WRxjY+C62d9bRT6062abBpuJ5uaybgzbqpALQ9PPhJopmw2/1U6EbSnmxpxts49ytkXJtbLOH4c5HRMgGRsjnpzc9vno2LEswv4wxOPj97ez6ndvqFaNyvbqqnEsXBelNSqKTHnK5s4h9w06Mb2xUyHTwsWLDz0+QXjScVZX71+HhKHJXvM8klzOtJTs9Uwb315vxwi8dl2OUm5YJW9hW4pukFDKWUR6NDJShZ0RNaERobq8zMRBD2JEMCrzOzvLfce/5SdU8tZjc64HU/4bXpxeH1652aEbaEo5NVLOfPPtt7d9bie17z7J2JiJ9oShiRTFsRG7S3/copkZ0w4vDI3jni5M/bNnTT2972c1oSqO0a5r0qSFfadf297PnrB6PbTvG6c5vS/9e9N+5RXcuTmCCxcovfmm2YxJ2x5azSYqFaxz797FardxWq2s7IIgQKe1wW7focfcf8vz8J9/fmBQCnd5eWOmSKrdEKdpyjuRVCrE5fJj/6yOOv1so7af8PR0jhdn83y06tP2k22zj4I44earb5BXJoo/ivPhKKDzebZ0DSwr044ovv02uC7RzAz28jIqCKi88grR9DTtH/ohMx+HIfkrV+h9+tPrG2KpgGlfaDJ/7Rrec88ZIb5Oh6RcJnf7Nv4zz+znW34gq0dA+E/YG3ZrO4UPP8R/6il0ocDYK68Qnj1L5wtfyJ53Gg3y166Z0rI06m95nonWb5UpNkBSqZi10hEhZ1t8+eky37gOkX68QbP9Yqe1cUa/Q8kTgjj0I8LY5h194YHsxvF/WLZKq9/Kyd/8uv0I/uPcXNgNxQsX6F2/PvT5Salkap3T3uKQ/silDlj/R8zqdLJ0bTAppJHjoLRer9mOokxwr/TGG3Q//3kArly5QhiGTE5OcurUqU0DMHX+odbcuXOHXupwHj9+fCR6F3c6HTqdDq7rMjU1ddDD2REVRZkjri3LLPyVwgpDEtc1beJS5fvy7CytahUuXDD1g6kzr6JoXam+2SQ3P2+u7fvkr13LNguwLJJczhw70ANeed6GMUVTU9jtNvHg/NZfODnO/ZHMTewUQRWGZ6sN0eMVZ9s5rJ+5dOKFT3DjvY+JtWY8b1PtRCy1Ikrpgk8c++1J8nnsVovwxAmU7xsNE0wJit1qme9nOu+6y8u4d+5g1+uoF17IUv9VkmANfE/tRgO70cDyfdz5ebxPfhJ3YWHkHPqxsTFaD0hrFoSt2K3tuPfuEU9NGS2XXu++7hEqDM1mdRyb7MJeD21ZxOnxO7avTNvWHSXKOZvf/4mxA1nXPg4euDYeaDf6pCAO/YiQLxSQROWDZ6uFbiXPjrXz/cXuQUSs3KkpHjkenvb7BlM3ardaRJscKe26WJ3Oxt1M1zWRKK3NwjNVLLebTXQ6WbpvvkmY1lcXi6ZLgNXtkuTzJsK7sIBXq3GjWCSKImzb5syZM8zcvEnoOMQTE5TeeIPeZz97IKnX9XqdRqPB5OTkozv0aaR8L7Da7Szy0Bf66YvZKd+HUgnV62UOfa5SIf/uu1l/d+X75h6nXQ5IEpzVVZxGA23bqDCk+OGHWc27TvvAWysrmdMdHj9OuFkl2HVNz97NHLIa4CeRzRuiO22Q9jc1T52Z4+o7l1EKPl710Vrza1fbzJZtxnKWROt3QBcKWHfvok+e3FibrzV2o5E5GcW330a7Lu7iIqrfv75/fBybeSQMUd0uVqtF+XvfI56cXM/MSUtpRolCoSAOvTAUu7WdfgSetOuEPbC5rHzflBM2myggmpw0v3nFovnN9H2SdH0irLMXQbP9Yse1cd+Z73eGekI4nHdK2DOehNrIR8VMYk62MH1QXf9ulflHljSam4yPk4yNYbVa94lFaccxjt5Wu5m2jbO8nKXcq14Py/exul2ie/eywwqFAmjN+Fe/mrVqqjUafOw4RFFE0bZ5+umnKZfL5G/cIHftGsr3ce/duy/yu1/0MwaKD/qx13pHsSqr06H8+usQx7hp1Hu3WI0GxXffhSgid/Pmhuf6tX9j3/42ufl5klzOCMkpZdoW+r5pN1itYnueadWT1so7KysUrl7NUuWxrKwtoc7lzD1NWxVmf8cx0dxc1mLOCoJ1W7Gs3W1YWFbWTlE4HPQzl3phgm0pPnOiwEzJ5sx4jm6Y4FrqcM59+4jO5dZF8zZh1+uZknbu7l2c1VWsflutgVpglSRYYZhpXZDLkb91y9Tme976d1m+X8IRor8p7VSrpouEbWcbX0QRlW98g/zVq1hBkHVYCc6eJTx1yqxtfH/HNq9HkSfWF0iS9cj8A7QTDhsSoR8RmvU6pQMew0FGmkednXYqD1L9vnv16qNfRCmTQp+mgOpc7v5FZ1/sbgvV52hykuLFi6ZVk+saxz9thVdPnT2lNfl83oi1dTpY1Sp3796lnr7OXLfL08vLtNL6axWG5BYWCM+dw261DkTtPI5jgvR1H+jQRxF2rYYadHAHUEGAU6uRv3qV4ocfUj9zZtepXnavZxzyVovCxYsE589n545/4xuEc3M41Srh7KxZnCSJWdAkiXEKPI/CxYsmgtfrMf7Nb9Irl/EvXDCRQdvGf/ZZnJUV4yRobRz4tTVQiqRcJi6XzaKp1yM5eTIbm//MMw+dshZXKg+l6i0cPDnb4ktnS7z5ziVirblSDRjL2Vxf8/FDze16yDMzuUNXZ7nfbFmHa1lY7bbp+hAE5t+WZRzzOF7vGpLOq6SCeHazSXj8OCiFXa2ii0VUHJvSmTjeVcu9/aLRaBz0EIRDym5sR6XdV+xazXRcSW3fbrWofPvbOKurBKdPmzVMqi2kB37TVVouKBg6Qcw3rney+vnD6AtsuTbub3QqBd2usYURmicfFbHgEWEU2tbtplZ8LzmoOvRHZa8E+naDtQvhu90wqIYfT2wtz2iF4dYCZa5LYtsmVf/4cRMp8n3stTXa6QK2mCRYaY21l89zaW6Odr2O0pqnFhc5Wa3eJ5xmdTrcW13lvZdfZrxW48zMDK1Wi3q9Tq/XI45jcrkcU1NTTE1NoXZwLD3Po16v0263iaIInW4w9FPpB88NgoCrm34Mrm+qxZqbm2Nubi77W/VFBX1/a4c+TYUtXrpkWr9F0ZbRbJXWuUfHjq0/5vs4a2tYnQ5OvW766BaLxmFvt8m321kkT7vu+g50Oi67WjUq9ZZF8NRTOCsrWLOzxjEY/IHT2kTgZ2aIKxWiqSnTizu1sdB1yW+uSRui/kzn87sSbBRGCy/SuIU8UwWHtV7EyYrDtZrZ0Iy15sXZ/KGat0cGrc2G3KlTJtLe66ELhWwTU8Uxqtej/Prr9D796UwQr585ox0HJ47RcZylFu9lec8wjML6RjicPMh2rFaL8muvme9CsQhp+RhxjFOroTod4krFbGiH4ZatKHWhsKsWlUeBIE74+vUOt+sBpZz57PfbF3gc3Lc27q91kgSCwDjzQfBEZTMdrjv0BDMKongHGWnerl3cfrNTmtFOz21O098vCmfP7ttrxZOTxKWt80iSqSmiuTnjqKWiTe7qKu30+HK6OO2227zz3HO0i0Uc2+ZT168zl/ZL79dukyTm35aFl9b2F4A7d+4wPz9Pq9UiSRK01vi+z+Li4rZKuFprVlZWuH79OrVaLYu4a63xPI/FxUVu375tav5TfN/Htu3MyVdKYdv2hv82R+xVGJpo+OZMgvS9qDA0CwrPMzXpW0Sole8z8eu/Tvl739vwuNVuYwWBScNNlepVGOLeuwdKER0/TjQ1ZdLf+73d00WQdt0s8q4GBOzyA6JZ/XfeL5dIikXjDLjuBsdbF4t4L7205ecsPLl0gpjLqz5NL+bpl56m2g1Z6kRcqwZ4kUZZYFvmu/JEpmjuMUm5bL6Xfd2LMMTq9QjOnSOemDDp9Z2OcU5836Td93pG/NJ1zUbdhQuglNlMDUOsIKD02ms4i4sH/fYAqAzR/k8QYGfbUWGInQr2qjAkmp3NFOkVmCwzyyIplYy2hONsuQkdnDmTKd8fZYI4Yb4REcamXV03SHDU/voCj4sNa+MkMfc9jo0T77rm/92u+f8TgkTohYyDjDQfdHYA7FxyIOUI20fu+/RT2FQUQRyT9Hr4aaS53O1SrVZZajTAcah0Opw5fZrxXo+oUiE6edLUaPu++WFVigTopg5oLQxBa85MTTEdBETnzxOGIYsffkgrl6NarTI7O3tflH5paYlarQaYqPrU1BSO45AkCfV6ncXFRTqdDisrK5xOEuJikcrEBM8//7wpCajXGR8f5/Tp0zu+dxVFqDQzYZDcwgL5y5fxn3vOiAH2P6M4vq+1VeHyZax223zOqQhdPD5ulObDEPfuXbNo7/Wwm02KH364/tmnKvZJqZR1KbCCgHhqivz8PPHYWCaIN5iSiNbZZ6YLBezV1QcqzwtHh04Q84vv1lnrJSgLfvplTZxAEGk8S1NyFWOuzXTJ5qNVHy88uvPjsCTlsnHqAWzb6GB0u+hjx0z0fnXVZOO0WtjdrulAsbZmjt8036lOBxXHONUqxYsXsXyf9okT+/yOBGF/KL/2GihlWuqmZL9fWmPXauhcjiSXwx34/RXup7/GbXoxK92YmaLNbMnhh58+5HN535nvR+Mdx2RIdrvGwR+hTKZH5RDfpSeLXqdz0EMADi7SPJgdUHAVYaz3PdKzk7hd/7mxvMVaN6bWHQ1lzGBEIjCDqNT57gykyi2XyywtLQFwolrlUzdvUtysXKuUSVsPQwAC1yVOd8211ly4cIGZKCK/sACA67pcSEX3kiQh2hT1bjQamTN/7tw55ubmcNK0fsuymJ6eZjrVDVhbW8NeWMAZqNfzUiG+Ql8HIAwpvfHGtu9Z+b6pex0k7Q+tPI94fJx4YgINW0bo7WrVqFV7Hna7jbu4mNW+W1GE02yaFjvtNrkbN7AHPz/HMfX7fQ0DyzKbBrkc/jPPEJ49i/fCC2ZIlQpes5l95v30/CSfx+50RBxIyLjTCGkFGtsyZvLxpXkSDWN5i16YcHrc5UeeKfPbTxboBgmubXrbizjecESzs0QnT2Kl32EA5+5d8tevmwygdtuIVzYaW4o52Z2OSTVeXCTJ5YwmxgjQHUHlfeFwsJ3tWM0muevXset1kkrFaMsMEE9Nkbt9m6RQyLLNwuPHiUagHe4o0vIT2n5Cw08IIjO3fPnpMuXc4VwPBIuL9zvztm2c+b6/VShIhF54/Hiex5OzT/Tw9LMDat2Yd5c8XrvT2/dIz04lB5W8RcFVfLxqIrDvLnlU8hZepLNshoPQAAgGdqZHhXhiAsv36QzUpHVTp/jM0hLn1tZM//qBvvaAiRZ7XhZ1ag/spl/odMjlclidzgZH1t2m/kl1OtkGwszMDGNbiVEB5XKZWq1GnGYUqHSi76fkw7pDb3W7OMvLW/YuVWGIIm0f5/sULl6k9/LLZpOi3cZuNEhKJVMbmyrJb8ZutUiKRXN8q4XVbpMUCqb+PY6x4pjo2DGctTXclRX0wBi045jIvOuaWnrbhjg2/98qxbBvN4NOgW0bLQVx6I8sQZxQ68b0woROmHCtFhAlCWECOVuRrNWYKtnkA8VsyckWfJ0gptqN8aKQgmNRcJ6c3r77jc7l8C9cMH9YFpbv4ywumrZ37TZJuYzTapmF6SasbtekGlerJBMTptVoHG/8TifJvgtBeQfUpUQ4/GxnO3ang0oS7EaDeHz8Pl2W/mZ239YHdYKE+6nkLWxL0Q0SxvIWjq3wIk35kEoLBKur5t4P2k8Ymsi8bZv/ajVRuRceP1MzM0e+D33OtnDtBC88mNT7nUoOcrbFZ48XaHgxMyWHpmdUQBNtetR/6WyJV+e7tH3T1mm/djbHXnyR5ptv7vnrPAzx9DRqaYlO+gObjyKsKKJXKLA8M8McUFpdNelwA0J4Op+n/MYb+M8+C0Anrb9345iZZpM2YDebZpGa4qU/1pZS69H3bhf/vfeI0hKBmc078lpnAnLOwOsrzzMprWxcRGQOfa+HPSCs0+v1aDQadDodQt/H/r7vowBM1etUFhfpJYlpE9ftmrTZ/qI6ff0NRBGW55l0QaWwV1eNeJ7rEs3NrUfRXRd7ddUo0TuOSR/DOPQoZSL1aQ19eOqUqbHdgr7daNfd4PAnW4keHgEOqyDn4ySIE755o8OVqk/TS1DKfK9emMuz1ov53KkiX/zRL7D2+hv3fVZepJkp2xRsFy9ODvVCcBToOyfatrE8j+D8eVM33+mgLcvMX5vFN/s96+MYu9UiPHXK6G/4vimzAdz5eQoffUQ8M0Pvs5/ddn543ExPT7OysrIvryU8WUxPT1O7coV4cjJ7rPjee2jbJikUsBsNotnZrU8WMcZdk7Mtvvx0ma9d0/RCTcm1DmXtPABJwthLL9H8zneMDSSJcezDEMplaLeNM99vb/iEcEjvlvCkcpDCfLBzycF0yWaqaGdOe6TX0/MX2zFtP2HNi7ldD/jG9YMT9hsV+hH2ShjyqXffxYljAsfh4+lpgslJnJWVDQvKeGIClKL0zjso36edOpeTaQo6GEXbTCU+SdY3DVx3XcSu26WVOsClUmmD0w4mtb2Q1p8nAxF+t9vNNgv6Dr3rujhBQP7yZVTa9q2vPl2tVmk0GoxpzWmtObO6io4ibler3CmVspp6pTVWGG5MZd/0I2Jtqr13l5eNYx6GxJUK8dQU8dSUqZVPj41nZtZ1DSwL/xOfSD9IE5nXu2jJEk9PE09N7XjMk86oCHIeNC0/odGLSRKIdSoGHGturIWcqLg8N5vHVmrLObKStxjLWXhRgq2UROgfF5b1/2fvz6MkybL0Puz3zMzN99gjI3LPyspauvauqs6e7umZRk8DaIBDgiQIARiQAgkecQQdiIR4JEjkgaBDkRL/4CqA1MGQhxJFCDzgUARAbLNPzfT0oHu6umvtWrK23DNjdffw3d22pz+uPTePyIjIWDwiPCL8OydOhG9mFm7Pnr3v3u9+F9VuS2eIVKpnuumfP/8IidHpNFa7LR+r1UApVBiSe+ut3nxjtduk798n+957ojYaYYRhRxBQ+N73sEul3lOpxUUpO7FtvCtXRg71A0LKVmRSFtZxnb61TmT2jYYQ9jAUMu95kMvJ86aMo1bbVOl0XDEi9EOC4ARFifYDkyX/xuXc0Bkr9R/bt6/mKbhWL/AwX7B7cqWcaxFofSh1pOGQeC9sRGBZdOKbbD4IsC5f5lqthtKaZirF59PTYlazwTU/yufRlkWUzfYk+/kw7JF4u9GQlnaehwoCGnGWKttHlq12m1ZM4nvZ9Xq9l+W2PE8cb0mIu+u6pOIMWOrBA/xYrp8LQ6xmk/TNm9iVClbsWA+SOXjm3Dmu3bnDXLvN2UaDlz7/nJxl8WB6msyPfkRqaYlgYgJrbW0doVd913v6k09EVm+gtUhrUynpQd0fCDDPbQOz+N8OwzpujgLbeWecJhTTFuNZG8uShYEGco5iNu/w8lwG17a2HDemT71jKUKt+f691qkNjAwS2raltaRl9frUbxWkC/N57FoN79Iluk8/3XsuffNmzzTMrlQIpqYIZmdJ37pF+sYN1C7q2+1yed3ctRGZGzc2XSD7o/XNCLtE8bd/G6teJ2i1cEolxn77t3Fv36b4xhvYa2tYjUYSuB5hIKh3RSF7ppCi4x+ze6HWiXw+bmvcM78zZL5alcdBIMS+2Uzq6U8ARpL7IcFauczEUR/EkEAyQMND5PvRf2wb5fnfvprnjZsQaE3BPRy5UvPGjQPfx17QzOV6Uu58LAEf930uNRrcKRapZDLcevJJLm4ymQZnzuArhR8T2XwQSC16q4XV7aIdR/q9A81YBdALC/g+TqVCYKT48e/c22/TevVVomIR1UfoG3HmvxD3dbfbbdw7d+i6LuRyFBsNrPFxnLU1kbkrJYtqrcmnUmJg12zKgttxsICpbpf7qRR+tYobt8xxV1bwz56VY7RtMp98gvJ9vEuXyL/9NsH4eK/8wOp00EqJpHaT+i4VRdsa1200B9r0/AzpuDkKHLUqaFjg2hbfeiLPy3MZ6t2QdxY62JZiLGMxlZPxtt246QSaSMNkxjmyTiUnDdp1e9J6o87RzhbLtlQKpTVROt0LAkbj44Rxlr7z3HM4lYp4eVgWdqkk7SyjiHBqCn8Hbvi5H/2I7pe+tGU9cmphAe/SJaINx7i20S9lhBG2g9bYlQqpBw+ot9sU48C/vbYm/jLtNqpQ2PpaGGFPOLb3QkPmowjiUsXmT34imfkoSsh8GMrrzaZk5y2rV7Z4EnBy/pNjjukzZxgO3/QRdoqNgYe8a/OdpwqHWos79uUvU3vnnQPfz25h+s+jNbm+7Mx8u03btlnO5XiYz5MJQ2Y3Mb1pxhlmpTW5OOPj9Bm5We02gVI9FYB5T+7993Fv3cKJe5CGzWaP5BupvNVqYXkerVaLZhxQmMxme/VUqYcPaT7zDACFahU1M4PVaOAoRZTLoTwPZ3mZ7E9+QvuFF6T2PopEbaAUfhBAKkW6WkXlckS53Pr+7VGU9Ib3fYgiUqur0gsX6UdvhSFBOr2poZ3yPKLHtBB8HIZ13BwFjrJd57DBtS3mixbzxRSXJ91HvpPtxs2xXQwOMXQ6nRBty0J1OugNqqZ+dJ988pHnwvFxUsvLpD//HLtWE6m+ZUnP+kaDtNbo27fx//gfl04ZJuMZBL0WogD4PnajIcab7TbacWQOCwKCuTkAVLu9aU3q9PQ0pX4V0ggjbAPleVjdLtmPPiLzL/wLdLWWMdtoYNVq4k3T7Y6k9gPGsbwXmrJJk5F3HPA8xq5epXbjBqTTYDyMPE/IfKUin6vXYZ9rqWHC0JwtpdQzSql3+35qSqn/3Yb3KKXU31BKfa6Uel8p9eoRHe7AsbF/9giHDy+MKLWCfUlFD73t35CavjRiV/lMGLIxl3yl0WAsJte3ikXqm8jDjWQ+GwQySZl+zFqjXZfUwgLd2BFfaU0+bs9kVyrYrRb5OEjQqtdFnhdn9wlDrFYLLwx5ELe/GxsbIxd/j9qyiNptojjDlanXxYjKdQnzedlfnKG363XZblxXrx2HTibDajpNodXCmZjAarUeySKExSK4LihF5tNPCaamJONl3HgvX6Z79eqW36139izhfnvFD+m4OSocVbvOYcam38k242aYy6VOClS3+9iSm0dg2/hzc6RWVtY73CsFYUhqYUHcwisVcu++2/tY/oc/ZOw3f7OnErLrdSl5CkMyn36Ke/cudrVKyrRODUMpSdrMfX8034ywC6i4YwvEgXzbFgVcq4XdbkvHh+3UKiPsGmb9Cxyfe6Eh80EgP0pJVr7dFvO7MBQyH4byXKkEa2vyvlJJgo+jtnWDh9b6E+AVAKWUDTwA/v6Gt/1x4Kn456vA34x/jzDCvmCMsVqePvR2eScRjTjLk99kcaeAp6pVPpicpOs4fDo+zvPlMpk+gzpD6Huft6yeU3xYKODeuUM7dq/P+j7ZO3fwXnwRp1zGu3CBM7UaCzMzdB2H+8vL5DyP9O3bWKUSlSDg3sWL+L5PJpPh7NmzqDh7FM7OogEriogsi9Xxcc7G/eGjYhFlslSZDHatRmppSQh+JkNkWXxy4QIaeHJxUUyqTIuUPuhsFj+bRXW7OKUS4dTU+tdNhqyvR/w6HJIz9Qgj7BbDXC51ImACi7tF7Euy7rNaiwJgerrnoJ9aXOy15VS+j1MqkXrwQOayTger2UTFXiZ2uYw/P48Vly2pMIQ+j5ERRtgLlOfhPnwIQDgxgV2vo1MpKXfzfYKJCaJCAWd5GT0KFA0Ex3L9a9aL/YS81RKSnsvJ39Vq4nBfr4vcvtsVUh8E8vfGbiHHGMN6xr4NfKG1vrPh+X8e+Fta8AfAhFLq7OEf3uCxGptwHSUGkaE+rjiuxljD1rIOIAQ6pv59i8WdozXPVKvYUURgWXw6MUHQp1JpxoTeSOmDqSnc+/dlQZpKoXyfTuz2ng9DlO/j3r0rH7Ys8lHExbhffUUpfnj9Om+NjfGOZfHF2Bie6zLueVwtFEg1Glim1goJOEzF274/N8ePp6b40RNP8Pb0NOXJSVIrKyjfl37xlYrUrSrFp+PjNNNpnr5/n3wQSFZ/enrLrKZOp/HPndvye9SmBd0BYBjHzQjDj9G4OVp0n3hCWlvuAeHExLpgoE6n0em0tKoMQ+xyGavRQMXqJqvbhSgi8/HH5H78Y1TsFaK6Xax6HXd5GbvZ7Dnrb8zQq04Hu1IBGLWsGyFBEIh54hZw4vIQwhAsi/LNm9LNxXGky0PsV6O63RNV/3yUOHbr334yb5Iexuwul4N6XVrWGVO81VUh9aZ2vt2WtnW+f6LG0LAS+j8L/J1Nnj8P3Ot7fD9+7thjrK/H5lHgtLduOq71n7m4Z/swodXX2zy3DSHNhiHXajXQmrbj8PnYGJotAgK2TffaNXRsgodStGPpaa/GPl48AkSuy8WlJV746CMm19ZwgoAISHseU7Uaz96+zXP375O7cwf37l2sOAtgcKVeZ77VIu15UhfvOPi2TcayxO2+XiccH8cplwlTKT65eJGq63K1UmFmZaVnWrdlf9wdIJyYwI9rUweNYRw3Iww/RuPm5CCcmEh6eyuFu7goZD02DDWlRTqdxllbwymXieJMvd1qobXGrtV6rT57Gfp4Pnbv36fwve9BFDG23xKhEU4MrE4H99athJT1IfOTn+BUKqQePsSE93Oxn03PDNdx0I4jgahRqepAcKzWv2bcmFa/USSO9VpLvXytBp0OuXPnhMSvrsp7Wq3ea7TboBQP63X0yOX+4KCUcoE/Afy7+9jGLwK/CHDu3DlmZ2cBcbQOgoCJ+CbW7Xap1Wq916MoolQqMTExQSpe3JfLZTKZDLnYiKZerxNFEeOxkUKn06HRaDATL9zDMKRcLjM5Odnrf10qlcjlcmRjMlKv19Fa925ynU6HtOuS/tmfJSoUiLpdGh98QOGFF7Bi+W39/ffJnD9PKpYZt2/eBMsie+UKAN7KCt7SEoUXXpD/pd2m8dFHFF96CRX/L7V33iF75QqpuO906/PPsdJpMhcv0vIjprhNsVzm4msvkptIkfbaNG/cYOzLX+5lGWtvvUXu2jWc+P9vfvopdj5P5rzEVboPHxLUauSffVa+j3qd5qefMvbaa73zU3vrLfJPP41dLMo2btxAF4pYc2dJWYrK7Xu4XouJL8k2gmqV1uefJ9uIImrvvEP+2WexYwlh46OPcKemcGMDoc69e0Tdbm8B6lcqtG/flv8F0L5P/f33KTz3HFZ8Xr6Vfp9o6gyTF+awlaJ9+zZEEdm4ntkvleg8eEDxpZfkMI7gPAF4i4t45TKF554jc/48ynEO7Tw5Y2Ok46xy58EDwmaTfNwiyZyn8y+9JFG2KKK2vLzteXLv3WNmk/P0R2IXZT0//8h5anzwAelr1/jGtWvY5TLNMMSan2fi6aexLl6k2+nQuXeP4lNPUdSaOceh9eabjF27BnNz0uN+YYH01avYly8TuS6tW7dwLlwg/9xzvfP0xNISLz79NHa1iu+6ND7+mOJLL2F7HrlcjuatW+TOnOEnMzOUPY8nfZ9zk5PkL14kKhbplkq98wRi0Dcs58kZHz/w66nxwQe4c3O48fx6HK6nYTtPhzHv9Z+nUGtWPrlJzoGxa08+cp4y589jZTKj83TE5wkGez3ln30WlCIYHyfVajH17LNkrl8nqtfxv/iCwmuvkZuexrpyhc69e2SuXcM5cwadStF5+21yYch4NkvqD/0holyO0LaZunoVN5XCcV3sKCKdz0v2DMnYj42NkY6Pa21tDcdxKMTeK81mE8/zmIzHgud5VKtVZmZmUEqhtWZ1dZXx8XHc2BitUqngui55850P8Xqv2WwyHZ8Ds42pqSnsOBBcKpXI5/O9tqu1Wg2lFMV4TLbbbVqtVm8bQRBQqVTWbWN1dZVCodDbRrVaxbKs3jZarRadToepuOTL933W1taYnp7ueR4cxHmq1etkpqdJT06C6ybnqVgkc+YMXc/Dn54m953vkAXSZ8/S+vxzci+8gBuGRNks9S++wP7qV8kO6fV0HOe9b/IjnCefojg1jq3UcM57YSjnqdMh+/zzEAT4Dx7QWVqi+PLLsLxMVKvR+OQT8oUCzuQkjI9Tf/ttMq5LqlCAIKAN/OThQ/7WwgJOt8t/MDlJw7KG/np6HJTerEbzCKGU+ueBv6S1/qObvPZfAb+rtf478eNPgD+ktV7YanvPP/+8/uVf/uUDO95BYXZqiuBv/s2eW+xh4yhraMy+G92IUitkOm9TcK2hrePxwmhoXEDHXnvtVMpgneVlgtlZ7EqFcGpKnG+1hjDs1aQ7CwvgOASzs1KXd/cu3fhG4qysoNptwokJyfqHISi1o562ztISYaEAUcRn589TymS4XK8zH0tP0599hnfp0lD3xz2t42aErbGTe8Bo3JxQhCGphw8Jp6fRQO2P/lEm/97fAyDKZnFWVyWbrzVRsShSeq3R2SxWvU7zp36K9Gef4T58SPPVV2m/8gqF732PzGefUf3Od5g5e5bS7dt4V69iV6tE2ezIofyUIrWwQPE3f5Pqz/+8eOJMTIDvk/3oI/Jvvol/9iwqDEVmz/o5J/3ZZ3gXLiRKvRFOD0xmvt1OHOs9TyTzUZS0pQsCKJUYm5+n9tlnYn5n3tvtSoY+k+Eff/YZPwb+P8Bv/fIvMxcHTIYZL7744lta69e3en3oMvTAL7C53B7gHwL/W6XU/4CY4VW3I/PHCdVKhT1Y3QwMR9muwtTvpB2LTuCTsVO9Op5hM1jabNELHBnBb3766aHub5hgWieB9Gu2y2VxkI9hBQFhfOPXrtsj84DIRX0f3WqhwxAVhgQbzOm2gnZdrHabWzGZL/g+ThSxagj888+DUhR8f53R3zDhtIybYQq+DTv66yi36iN/WsbNqYNt48cZwdTCApmPPkrM8aKoZ/AZTkxIazqTCApD6fhRKvW6iJgafHttjch1UUFA8+OPUXGmK/cHf0Bw9iztOPM5wumCis0VU6urZD75hOZXvkL6009JLSwQxC1i+30i+uccbVnrSuNGOAUwPea1FlJu20Lqw1DIfBBIG7ogkPesrECnQ/Pzz+Vv03fedDJKpfjR2hq3gUvA77z6KnNzcyeibfhQEXqlVB74I8D/uu+5vwigtf4l4FeAfwb4HGgBf+EIDvNA4AyBMcNRORSb+p1GNyLjWHTCiIJrDWUdz8ZFb7kV8pPlzpG5g9r5PGFs/nbaYAUBUXxz16kUVrNJEEumAPxYEroZFEg/+06HSCmpxduhY26UyeCsrPSc/BupFI1NeplerdXIxIvbYcNpGDfH0rn3kLBZoGMndZSnYdycdvizs2Q/+SR5IgyJcjmcUonAcYS4x/JPFQRo25bWYmEo83C7DUEgLTtdF+X7pAAv9kOxul3stbXD/8dGGApYrRbKsnC/+AJncZH8H/yBBNTn5sTctlxedx/vn3O8J588qsMe4ShgiHzsz4FlCTkPQ3Gnbzalfj4MhbiXy5KB931spQjbbeh2KbdaZGybXDbLjxYW+PV2mybwJ4GnlKJ21P/ngHD0LLIPWusmML3huV/q+1sDf+mwj+swkC8WORg/6+FHvzog4yg6gT6SjNpOsnkbF71+pKm0Q6ZzDo1udOiqgsz583imD/BpgmVJr1ojvbNtwmJxHYF/nOQ9ymYTGdcuSo90Oo3davFcpfJIS7rjgtMwbnaScT5t8MKIpXrA2wttIlhX2rQTldZ+x81IMXEM4Di9LLtOpyGKRPmkFNq2sRoNwslJ6fTRbvey9yoI0JkMqaUl6Xkfv191u2TPnKEddyFRYdgLABzX+bMfn332Gb7vMzExwbktupb4vs/9+/dpx2VZc3NzvXrdo0Sz2aTZbJJKpXp1u4OGs7JC5sYNWi+/TFQoYDUa+DMzWN0u3uXL2I1GzzxWp1JyD+9LcJ2Ge9UIm0BrWZ8ZGb1SkpkHMb+r14XQB4H8rlblM90uVKtkJifxWi18y+J/fPiQDtLvfBVoAn/ecXju0iUYgutwUBgqQj/C6UW/OiB/BKV1O83mbQw+/P7dFqVWSKkVcnXKHUpVwUmEdhysen3djT+IjVd2hCiSvsxTU6Tu3yfczWLGsuhevXoiFqMnGcfKufcQ4IURv3OryWerXVq+Zjon47c/0HGQKq2RYuL4wOp0QCnCdBoVReA4UtMcRdiNBv758+JuH5uUOSsrROm09AW3LFJ37qABbBur3Rbn+zhDr6IIq9Eg/+Mf0372WZFXH1O38iAI8OP/K7tFXXer1eL+/fsEQYBt21y4cKFn3HfUWFtbo1qtMjExcTCEPgzJ/+AH2M0m9tqatEm0bfFQiI0Hg/7Au1J4sSHuCKcYhsz7fq+sh7jjEI4jZN60qVtbk8dRJNL7Vkuy9K4L7TbvPHzIHSANvAlESGb+uWvXZA23RWvl44gRoR8StBoNTrtFzFFmb3aTzTOL3lIroONrrk25LDUCnptJH/pxdx8+PNT9DQu0bcsicY8LweDMmd5n/QsXdr//Y27odBrGzVH6ggwj6t2IajvEsRSWgoYXcSbv7CrQsZ9xM1JMHCNEUaJaimvpAbAsOs8+K9JX28byffxsVtp02rYY5bkuztoaCohsG6tWw+90sIx0Ngjw5+exKxXyP/4xrVdeIdwkS5a6f59genqoDdA6fSVVxv26H+VymcU4u5zJZLh48WLPUX8YYBQDWwUj9oQgkPFhWVjtNlangz8/T2phgSiKUJZFtMl3tRVOw71qhD5EUULmzTzU6UAqJY9NH3nPE8M7U09fLov8vtuFIKDbakE6zTvADFBFMvTPAK/EDvkEAQzx/LJbjAj9kMDzvFNN6PebvdlvMGAv2bxi2iKTUnxe9gD4aLXLXNE5VOIQ1E5K9c/uEGUyIpnfK3ZYL39ScVrGzVH5ggwjimmL8axNqR2SS8H5MZefu7q7eXY/4ybjSCCh0gmG1iNlBIF/4QIq7imvPG/9i/HcGWUyhGNjYFn4Fy/iLC6CbRO5Llbcwx7Lwm61CNfWYHxctqUU2nF6bvdYVhI0iLuNYFmkv/hCzPqGeMHdT+jTfZnmKIpYXFxkLfYKmJiYYH5+vte+ahgQhiFefG4HSegzn3xCODWFf/as+CkAKIU/P49TLqOiiChu07UTnJZ71QgkZN7MH74vpDuVkrmhVEqI/vKyZOO1FjJv5PcAYUjQ7fJhs8kC8G3gmWKR2UIBNTEhpL9QgPHxXivNk4ARoR8STExNndoaethf9mYQUs69ZPNc2+LluQzVztHV0OefffZ0tpFKpXYnsR9hHU7tuDnFcG2Lbz2R5+U5yY5N5exdz5M7GTebBVe9MOL791oEkUYpeHZmeFs6jgBRLAm3KxWR3G8G2yaIe3iD1MZHcQ20ajTAsqTmvtMh+5Wv0P3oI5SRt8YKK6vbJbWwgLO8jPvgARopneo89xxOqYTfbPa27ywuooJgT4qqg4LJcGcymR5Z932fe/fu9cj+/Px8rzf1RiwuLlIulykWi1y8eJF6vc7a2hrtdpswDHFdl8nJSSYnJ7ftQ93pdFhbW+v1dNdak06ne1L6/s96nsfnn3++7vM3b95c93h2dpbZvnO7Eyjfp/C97xHm870MvNXfEcGykoDNLpR1o3vVKYHJxhsy73lC0B1HMvTVqjwXRbC6Kpl53xfJfaMhj2N1SCOV4tdv3OBDIAReymYZn56GiQnZztQUFIsSKBjigOFuMSL0wwRTK3JM68n2g/3Uuw5KyrmXbN5UzmYya9PoRqM63RFGOKY4LWZtrm0xXzy4/2+r4KqZo8cyNp+udvnBvRaTWXtURz/ssKytCf0GhGNjUorkOFidDmGhIFL8eJGtfD8h9DGU54lrfrcrNflaE3qePN9uY6+tST1+Ok1qaQltWUNF6A1pN3L7ZrPJ/fv3CcMQx3G4cOECuW0ygObzruty//59anE22rIstNZ0u10WFxcJw3BTgq21ZnV1lZWVld5z5rOdTofFxUXq9TqXLl3qkfput4tt20RRhNYapdQjygGTsXeWlrCaTbyrVx/7XTilEna1irYs7GpVjqVaXd9p5hSubUfYAQyZb7dljHhe0pau0xHSrrVk4U2LukZDHrfb8rdlgeNwE/jJ7dt8AgTA14Hxy5dlH40GzM9LVj6blUz9qIZ+hEHD9zyUiWBa1q6jmMcd+6l3PUrzq6Ou0x21kBphLzjN42YjeR+Zte0cjxs3WwVXzRxdaooO7agUTSPsDpHrYu2w5jsqFpMHQYB2nJ4pnt9sgu8nUvwYyvdR3S52rYZdr6/7jAoC7LU1rHodu1YjyudF4j8kCMOwZ4iXyWQolUosLS0BQogvXLiwbb28Id0g5nRKKc6fP0+xWMSyLHzf58GDB7RaLUqlEjMzM49k6ZeWliiXy4Bk1ScnJ3EchyiKWFtbY3FxkWazycrKCmfOnAGgWCzyzDPP8PDhQ9bW1hgbG+P8+fObHqPVbPbI+eOQun8fq9XCdt1eWYZTqey7b/xpvledChgne2N61+0mJZGtlhjegcjqTflFpSKZdkPIlYJ0mhD4f3/xBQXgPPC1dJpLTz6ZtLkbH5cggevK/kaS+xEOAtVKhQnj4GgGeGwsclg4qixV/36nc7sfkkdNqo+yTrf56adHst8RjjdOw7jZSvr93dtNGt0I21J8+2qeTqBHZm07xOPGzVbBVTNHl1sh7y11RoqmYwKdze6phj2YnSXK5XrGaM0vvsAOAtzbt9e1E1XdLqrblbZ3cZbeEPwoNtcDyeQr3xfCvwOoTge9C+O1vcDI7QEqlQrdbheAyclJ5ufnt5XIg0jzoz71w5UrV3D7zFZTqRRzc3PcunWLKIoIgmBdgKBarfbI/KVLlyj01aVblsXU1BSe51Eul6lUKszOzq47po3qgs1gNZuPeihsAWd1FcIQ1e3ieB6Z994jtbCwrixjN+1hDU7DveqocWQKtTBMesyD/I7NNdeR+dVVydLbthD7alUy83HNfWTbfLC2xt8vlcgAGUABT3/pS/LesTH5yeeTZOnMjLS/O+B54jAxIvRDgpm5uaSG3hD5KFrnGHqQOKos1aD2e1rNr8Zee21UXzbCrnHSx03/vJJJKV6eyzCVs6l3IxrdiEonpOVFvHETvnE5NzJr2yEeN262C64aub85Dye9vOE0o9/0LBwbo/jTP037V34F9+7dhOBpLYQ+ltdGmQzYNk65TPr2baJiEavRAKWIcjmcUumxZmqq1ULncmTff5/Ol74k26jVSN++Tfullwb6P/Yb4hkyPz09zdzc3K4/f/bs2XVk3sDeojWq1rqnBpienl5H5vuRz+cpl8uEYbguINCvDtiO0NuNhnSTiaLeGtRqNnseCwDpzz+ne/myKCziNoeq2yX/zjvSDrZv7apdd9fK05N+rzpqHJlCLQgSMh+GyRiLIiHvxj9jaUn+9n352xjhBQFvLixwA1hE2tGFwBTwEPj6008L6Z+bEyJvyn/yeamlj9VAJwkjQj9M2Bi9NNL7QyD2R9VSaNTKaIQRRhg0zLySSyk+We1SaYVM522+fjGHbSlaXkTOFbn9798RszbbUnz9Ym5EMveJxwVXT2vw9bQimJ/vOdir2MEeIMpmsdJpiCJUrEgMi0WsTkeyboUC2nVR3S5RPo+2LFQfCd4M+R/+kOY3viGS/TAEwG61SC0sHBihN0Tc8zyq1SpTU1M7ak1nPm/bNsX+coU+GBd6pRROnzrBmN+BEPqt0P8Z3be+fFy7PQPVaqG0pvD7v0/p9de5efs2mj5FgNakb94kHB9f36nAtvHm5oQ09SE8iF73I+wLh74GN+0rfT/JzHueGNQFAaysyO9uV7LxpkWdcbKP6+y14/DbgA08D1jAGaV44soVplyXscuXqVWrkoG3beFRExOSlXdd2Z957YRgROiHCZ4ng7g/iqlUIkExUSzbHnh9/VHVoe93v8NQJjAiACOMMFwwLSU/We3S8jVNPyLtKTqB5ttX87xxEwKtsZUi0JrJrEO1E9IJNPnT3D90hBEOCn1ZXoBobIyo05GMblxzrx1HFuwx+dSuK1ldpEbfWV7ubce9c4fUw4c0v/Y1QOrx7VYL5fsSFIgJr+p2cSoVIQ8D7AFvSHE2m2VmZoZbt24RBAH37t3jypUrj21RZz5fLBa3lOf3Z9H739NoNADI5XLrSPtG9Ev6+99ntptKpbZUAYAEQwB0bM6nlFoXGFCeh9VoYMelEQb+qAPNscGhrv0Nj+l2E7l9FEngp9uV2njPkzlgeVnev7YmZN6QfK1pWRbfvXePFvDPAddnZmQbs7OyjWIRpqdl24ZPTU7Ke0wJkQkuPSZIeJwwIvRDgtWlJamh1zoxhUil1hN7x0kuCHgk+rkfHFUd+n72u1Op0KDJ93b73apu96C+15EUbYS94KSPG9NSstIKafoRbT/CUU7vGvzOUwXq3YiMo/j+vdaRGGoOGocRZNzruDHHlnEkqDIKhJ4u1N56i3Sr9WiGVqler3udSokhnudtXisfr4WU76PTabLvvIPVbtP68pfRmUyvHl/5PqrT6WXorWYT1elgtVpE4+MD+X/6e7hnMhnS6TQXLlzg7t27dDodHjx4wIULFx7bag627wG/lSzeSPy3y673f9513XUBhp3I7dEaq91GOw4rY2O0223mfZ+HritECbDi79WuVhOF6YCTTSf9XnXUOLS1v+EuxsHePLZtkdHXajKu6nXJ0qdSUjtviH23S9nz+HBtjXvAXSANFEGy7hMTEgiYmYFcjlqlkhD6QiHJyJvHRi20B1+HYcWI0A8Jxicnk2hVKiXRZBO56r+59RP7IEgy+APAUUkh97rfnUiFDqI+aKv9brYv4EDrk/JPPz0yjRlh1zgN42YqZzOdt0l3FXbe4eeuJtde/5xzlIaag8Jh1UHuZdz0GxGW4tKHgmuNugmcIuSffppOtUq4odZbW1ZC6MfHpb1dp0O4Rd92lBJC77rimG9ZOOUy/rlzYqrXbguZ931ptxcEWPW6ZO/bbaLxcaxGQ+r195EQ6ZesG0JeKBSYn5/vtYrrd5bfiCAIepL57Uj1VsQ7NMGKx6gATCY/31fzvt12+2G8DULH4c7sLOcrFVJRJIQplkqrTqfXXrBHjgZMkE7DveqoceBrf2P0HWfYez+WJa3kKhXhMqurYmKnFDx8KJl5reXzSvHG2hrvA+PApXjTTz/5pLw/CMS1fmwMbJv89DRNY7KXy8n1XiwmimetE5J/QjC6mw4JUv0ye9O+wZg4dDpJVt7AEHtIzCWOIbwwotQK8MKd9brtx06kQv3ku+Vp6t3N97Ob49hqv5vta6f73yvsLWrvRhhhO5yGcWMyDz97Jc8fe6pA3l0f+DTXPEgbteNMLo3ZX8pWvXZwB4G9jBszB6Ydi04QkbEtGt2Ie9W9zfsjHD/YxaLUWW9MPlgWKgzR2ayQbOIM/BbSeA3k3n5bjNoA7TjYlYpsKu5pb3U6WEEAQUDxu9+V/vWuixU7Zqc/+6znnr9XbFWDPjU1xWSsQlhdXWVti/30fz7d5/rfj40qgH4YIm+CApuh1WrRjI3FJiYmes/v1BBPBQHYNrdnZ7GDgAsLC1LKAIn6odOR9oL1OlEuh3ac3rkZFE7DvepEw0jr2+3kb0PSazUolYTDPHggf/s+3L8vxL7VkiAA8Lnv8yFwDfgZ4M+dPcsvPPMMdhAIMZ+cTGT1uRz2k08KWZ+YkKz85KT8NoGEiYnE9f6EYJShHyb4vgxsk4E3hhGmZ6JS8nd/VNbcIMPw0BzxB4X9ZpV2IhXqJ9+ZlMIPNV4YrXvvbo9jq/2afVXaAbalyDiKlK2OxJtghBFG2DrzsFn7uo2E/zgh4yhKrZBO4JNxLDLO8CxSzLzY6EZkHIuWH1JpR7y/1OZmZZSpP9WwLFS3iz8316uV9y5dWtfarh/hmTOkFhZwVlYA0Ok0Tty6TXW7kjHudCDO0NvNJtbaGmGhgB2/z2q3sWo13Hod74kn9nTYW0nZAebn5+l2u7RaLRYWFnBdl9yGXtfm8+l0esss+3bGdZlMhna7TbPZRGv9iLQ/CAIePHgAwNjY2DpZfxRFvTr4jeZ97p07BFNTRMUiKgioZ7MsTU3xwkcfYbfbYmIIPdJuVypibliv458/jwVos24dYQTDSzxvfbmw1kLejeHd6qr83W6Lk30UQaeDrxQlpbi7sMAbiIP9zzsO02fOwMwMqlaTrHyhIOQ8DIW4p9PyMza2PgsfhvJ8sSh8qt3ueW2cBIzuokOCtXI5IeOel8jplUouBsuSaFWn86isybaTHvbHZIAOInstC/ats2uGfH/1gtzQfni/zXdvN2l6YS8jv5fj2Gy/rm3x9Ys5HEsRas3374mhzDev5PnG5dyBLFybN24MdHsjnA6c9nFT70bUOiErzYDbFY83bjaPdba4E2im8zZPTqWZztt0goOpC9zLuOlXSvzCS+O8cjbHdN5mMuMciGpphOHDVuNGx1JZ3d/abAsy34Nt4965A0CUTmOvreEsL5P98EOR5LdaqDCUTL/WqNgx3ymVALC6XVJLS2Q++mjP/4/pQb9ZhlspxcWLF0mlUmituXfvXi/TbrDb+vmNhN1k3H3f58GDB/gxiY6iiGq1ys2bN/F9n0wmw9mzZ9d91rKs3vZqtdo6k7vMRx+RWliQB57HF+fOMVWvM+F5RMVioqIIApTvk/78c4LZWaxY2hzl8wQ7bNu3U5z2e9WxRRBIUtLUzMeyeTxPSHu3Kxn4hQV5X6MhWfoognabtVaL/65U4v+5ssLvImT1q8D0pUsioW+1pPzD9JO3bWlRZ9tQKNAslYTk53IJXzLk38j/M5mBGmUeNQaaoVdKfQ34VxBFxFmgDXwA/BPgb2utq4Pc30mC67oiPykWZXAa8i4vym9D1G1bSL1tJ68Z9Mvw+x8PIQ7SXXOjQVTKjuj4Qtor7YA3bjaJNORcaVU1qOPoBJpIw2TG6auvdw6sPskZGyM0/TpHGGGHOK3jxswLloKVZshaJyRtW3ihPtYtMzOOwlGKlh+Ssg8uQ7/XcdOvlLg4rrhZsUaqpVOELcdNXEO/G1VhlMnglMtogFQKq1zGXlvDvXuXcGJCeqfHvdCtbhfv8mU5hpUVaZ3XbkMmg1OrPdJTfUf7j6IeQd+KkNu2zaVLl7h16xZhGPac742j/E4k79u9J5vNcubMGZaXl6nVatRqNSzLWudqn8/nOX/+/CMu9kopxsbGqFarrK6uUiqVeiqBZwA3DqiUGg3a6TTP3rmDTqUIJycTQh+GpO7fxwpD/Hye7pUrj/va9ozTeq86TAzcUNVk5WOfix6ZNxl42xYCv7ws76lUxAhPKeh0+I1SiR8gfeW/ASwDLwKvPP+8cB/jWl8syraLRSHuriv8KZ/HuXCB0NTgZ7NC7i2r1/aOXV73xwEDY3tKqV8FHgL/APi/I+cgAzwNfAv4B0qp/0xr/Q8Htc+ThFyhQFCtyiArFISIp1Ly28jtTSSp3yGy3T62xP6g3DU3k9P2Bw9sK25VlUlaVQ3qODYLUhyk+3T63Dm6JqI+wgg7xGkcN/2lNUrBdM7GUhKEc+3jSyy9MOL791p4YcRKK2Q2J879B6EIGsS4OaqOKiMcHbYcN3sg9DqVEvO7vudSCwvSKs2ysBoNCEOpmTe90c3uGo1eWzurWiXzwQe0vvIVUktLBFNTj1cHsPMe7ul0mvPnz3Pv3j263S7379/n0qVLaK23rI3fbD9bvWdmZoZMJkOpVKLdbqO1JpVKkclkGB8fZ2xsbMttnz17Ftu2qdfr+L7fM9nLr60RdLvotTUW221m19YgimhlMkS2jW9q97tduHsX3+zjAHt5n8Z71WFi4Iaqvi/JSNNi2/flGmy1RGZv20LqV1fl/aVSUi+vFC3b5odIf/mLwHdcF6am5KdeF35k2tQpJVn5MEzc62MDvPTcHN3VVcnKGyO8bld4lLnOjQr6hGCQLO9/qbVe3fBcA3g7/vlPlVIzA9zfyYPnyaD2PBmc+XxC6h1HLgyt1/epBxnMnc6jjvhwYI74g8Ig3DU3EmZjEFXphLS8iDduwneeKvQWkZaC37/TotIJKLhW73ODyM5tXKzCwbrcjzDCCDtDf2lNpR2QcSxm8wrbUusc8I8bzP+VTdkEYUAuZfWk7MOqODiqjiojDBe0Ur0WaDv+zCbGa3at1qvB79V3Nxqy/d4HtWTlfZ/I9wknJ0nfukXnS1/CvX0bnUoR7IDQ53I5nnvuuR0da7FYfOS9Sqkdff7JJ5987HsKhQKFDZ0DdgLLspifn2e+r1+8e/cuubU12ouLhOUy0dgYS1NTLG3SceBuFHH3wgVeWV0lvcvzN8JwYSfdonaMbjfxAoOkLV2lIj9aC5mvVuW6f/iwV0Z8p9lkKYr4VSQT7ALTAPPziSp5eloIutZCyicnZTszMxIULBaFM4WhEPvJyfVq51wu4U7HxGtsNxgYoe8n80qpOeAr8cM3tdbLG98zwno063WZGE30N52WQei6iZQklZIfU4+1kdib2vuNxnnGEd8YVAwhsd8r+qOLmZTi5bkMxbSFbSlaXkQ2ZdH0I8qtkPliimJaCHYQaWxL5PaDXsj3L1ZLrWBwk+Um6MTGNyOMsBucxnHTr54ppMXv4iT0RN9oOtcJo16gctAY5Lg5SOXSCMOFLcfNXvpA27asZeK1j06nsWs1/DNnwLZFWq+1mOT1fUxnMqQePpRWdr7fCwxY7TZ2vb6pO/t2jvsnDZlPPiEcH8dqtcjUajwxNoZ77x7acYhcFxyHeirFUi7HxYUFslH0iKneQeA03qsOEwMrfe125cdcm1Ek1/bysiQqOx2R1Xe7wlXu3Vvn+fUPoogyUACuIG3pnrp8WbalNZw5I1woDIXYmwRmoZC0pgN5fXycTrMpn+125fV0Ouk9f0IxcB22UupPA/8x8LuAAv4LpdRf0Vr/T4Pe10lCEASk220h466byFXCMMnYG+fGdDqR4oOQfDNQtZaLx3FOlCP+VjDRxULa4tPVLtVOyGTW5mcu5/iu1jysBXSDgB/eb/OHn7ToBJqWp5nMJnL7vPv4/ewFXhjhhxJoOKh60VFt2Qh7wUGNm2EmaZtJvQ/q2j9svHhGZLnFtHWgQYpBjZuByzxHGGpsNW50Oo138eLuN2gW+UCUy+EsL/dKEu1mU2T1faQfIMpmSS0uSn296U8dhlitlsj0N7qz+z6F736X+re+dWISIFtBtVrY5TLh2BgqCHBrNabrddxWi3BystduLIq/z1w6zcQhmS+P1jgHD3P/mMrZu5+HDSn3ffmx7aTvvKmRbzSEzLfb8vfqKgQBb8ZGlWWgCcwCOeBPnTkjbeVaLcm6z8/L9iwrkdgXi2JqZxKeUZTI7m2bsFaTfRu+dMLk9ZvhIO6gfxX4itb6X9Va/3ngOvDXDmA/Jwrjk5NJht042Xe7YpTXbkOzKfUj9bpIVxoNGcCG2Pt+Ultv3O7b7URq0g/jiG+k+Frvqx/8UcJEF0vNpJ90yxNjup+6kGMqa5N2LO5Vxck64xxOGzmzYP3BvRZtP+LVc5kDWbTmn356oNsb4XTgIMaNGfO/f6fFd28Pp2v847piHDeY7/yH99v8ZLlDylYH+v/tZdx4YcRi3Wex7vfGxCA6nIxwfLDduNEbWrrtBMpIeQHtunT75Onh2Bjh5CRWq9UzcYNYqt/tSvbe99G2jU6lcEolrG5XggDVqpjmIdl5u1bDrvZ5OQcB2XffTY7jhLRos1vSkUfbNqrTQXW72NUqeqtAxiEmgkZrnIPDxvvHrhGGwj1M+zfDPUwv+TCEcln+brXk75UVaDR4s1Tid4HfBH4CFBFZ988UCtJuzvelbn5+XjjO+Lhk6bWG2dmk/ZwpM56YkMdxp7D8k0/26umxrBNP5uFg+tBbRmIfo8SoPd7OsLoqdfNKyWD1fRmMrVZSMxKGEonWWi6ibDaRkhhHSWOQZyJlzaZ8ZqNxXmwU4Xk+v3enSTOwyKUPty/wfjN6JutWboW8t9Sh0Y3WEfWca7HaCsi5FoHWAzXA2+7Yy62QUjOk6Ue0/QhbKb7z1Oa1bsOc1RxhhJ3ACyPuVQMaXrShw8PxGc/H8TocaP3jAcALI37nVpObZVGTXZ1y+dYT+cHJPEc4ldBKrZfC9xHPYGYG1e3i3r+PPz2dvMcoGMMQ5XmQy6FdVyT6QYDV6ZC+eZNwZgbv4kWR4zcaOKUSYVxHbnU6pB48oP3CC9i1GukvvqD1la8wbMi++y6d55/fcbmAFRN6bBur00FFEZaRKvdhttNhtrMH4jfCUGJf94/+rLzW8hNFwlcWF+V6W1iQLL3vQ7mM7nb5laUlZhAJdx2YQaTc48D1S5eSbVy+LIQ8CODcuaSHfCaTKJkNL8rnk2CC5wnfyeVOvLJmIw6C0P+aUurXgb8TP/4zwK8ewH5OFLxuF0spqStJpyXalE7LwLRtuThM1j6VEllJP7HPZITcm9YQliWfjyL521x8phbfQCnqoUUzUEy4UG0H1Dsh0/mDX2ANSnbp2hbzRYupnP3IgvzbV/O8cRMCrQdqgLfdsXthxHtLHVZbAS1fM52zCfTmJlX7/Q6C/uzBCCPsEIMcN/1dJUotcUs+qBrug8JxlYAfNjHe7bipdyOq7VDubbCulefI6f70YND3qaDPzG0zmEzzIz2mY9mtimvotePglMso30d1Oti12rpe65bvY5fLZD76iM4zz0jmutXCit/rrA6nLZRTLqPabXQqhV2tYpfLeJcu4aysrP/uogi7XsdeW0OnUmjHwep0CCcncapVvAH3lN8LRmucg8Oe7x9GTWySiKa8pVoVBXEQCJGv1+W1hw8hDPlidZVPgHfjzZwBUsBzwIW5Odne2Jhk5U1Z8Jkzso2JCeE9hudYlhB5k6g0JcjZLFgWQaMxwG/qeGDghF5r/VeUUn8SaR8I8F9rrf/+oPdz0lBbW2Oi2UzcGpeWZKCOjSXE3kSkPE+kK+m0DHDT57E/Y2/6Ldq2kH1Tf2Lk+el0L3pVTFvk0jZrniaXsSg6OukbeYAylUFnlzYj6nnX5jtPFQa+cNzu2OvdiJYfcWk8xZ2qTz5lbUlw9vsdtD7/fCD/zwinC4McN2YMT2bldvLSXJaL48dL1j7sme7tsNP6x0EoEHY7boppi/GsTaktgZ7xjN2bB0dO96cHh36fchw6zz+/5Wuq00FblmSkGw1UGIo5XqNBFJcAGFm+IbzdK1ewPA+r2cTqdHBWVrCHtL7barV65QBWrYazvEw4NcXY7/wO9W98A//iRaxaDavVIv3FF/K/mnVjGBJMTIjx2BBgtMY5OOyphajpL2/q5X1fxo0h8EEADx6IMrjRSEqEPY8VoIu42L8CfBV44Dg8c/myvH92VqT1nid/m2y8aT1n5PUmK2/a0XmevGbGMKdz3ByEKd6rwG9orf9e/LiolPqy1vqdQe/rJGFmbo4gjixhzPEcRy4GkAGdTicZdtuW97VaQuINATdyFWMWAfLYZOwNQTdZ/Exm84vamFocoHHeYWWXtls47nWRu92xZxxFqRnSCSIytuKnL+eYK2xOcPb7HYy99hq1t97a1WdGGGGQ42aje/ywk/nNrvnjKAHfTFWw8XXzf/qh5o2bzZ5Saa8KhJ2Mm43f77eeyPPy3D5Ml0Y49him+5RWSiT3cUJDhaFk6LtdMcir1+X5IEA7Dna9DpYl72m35T3tNs7KipBm339UCXCUiEsKeoQ+Pl7l+1jNJk65jBNnUa0wFJWB1kRx+7vu008PVb3xMI2dk4hdBVaNQ72pl/d94Qr37wuxrtUkGdnpCLlfW4NqlTfj7PkNpB3dVeBLQOHcOZ4xxt8XLwpvse3EBK/f+M6y5DrLZBIuY/afzcrn+sbtaRw3ByG5/2+A1/set4D/Vin1nwNaa/23DmCfxxpaa/763/gbfPnGDa6/8opk3Y0TPchALZflghkfl8iUybCbAECzmRB4peSzhuz3BwqUWu9+32qBbeNmMkzn+oaDMZEwxnkHQOz3FB0cIPqlwral+PbVPHl3ZzU32x17JxCZfdpJ0Q0icqmt/7ej/g5GGGG/GOQYPug69q2k9cfxOtxKVeCFUc9TpONLl42Or7lX9ci5iYroILLjW82p88Xh/z5HOAXQGiwL79Kl3nqm+8QTIqGPW9fZsVRXxR5GKiYNhhDrVAqrVpM+95aF5XlEQ0ToVRCIkiAm9Ha9juX70pZPa5HjdzpEuZwY/zUa0ppuYiLewPCQ+RGGBFonZN4EsEy/+bt35fVqVbL07TaUy/zo7l008IJS/AYirR8Dfga4Pj0t6uN2W6T0s7OyvUJB+A3Icybrbn4b4m56yxvZ/THv1jUoHJQpXs+yVmsdKqVmgE+B/w4YEfoNCIKAN373dykBvPsuX/nSl1CWRdt1STmOnCRDsGs1iXxlMnIhmIy948gAv39fLorJSdm4qbHvN47wPNlWKpXI9RsNeS2TSSZ0I7k3xN7UyQzw4jlK2WW9G9HoRlQ6IS0v4o2b8J2nCjtezG917MW0RSFt9drpPS7bt6/vIBq5Q4+wBwx43By0L8WgsJ20/rhJwDdTFZjvsNIKKbVDnp5Js9II6IYRji296mdzzt4VCI8ZNxvn1N/8Qku3kVFm/nRjWO5TsUQ4KhbXPRel09idjtSQx720VbcrLu+xQZwVBFJjn832nO972f58fosd7gJBINL3bHZfm1Gx87iKOxxZ1WpPSaBTKax6XVQJQSC/PW/H5nlHgmEZO6cVxsm+01nvydVui5F3GEpWvlqV5+K+828DHWBNa7JIO7px4PrsrBDzdlsy8fl80me+n6dkMsJRjBGekdMb4zsjx98Kp3DcHAShv6mU+kvAfxU//ovAW1rrHyil/i8HsL9jj1Qqxf/jP/qP+I1vfpPfAn7w8cd4gA9cBv7lV19NHO61lptStytOkrYtxN44OqbTcqFUqyJX6Sf2nU5inmcibCbzbhwiG43kQjIwpD6KEidLOPZRsWLawrYULS/queAPInN1mNm+2jujSpYRdo9hHDeDrGPfKtN/HKX1W2GzeabUCmh5mum8Q6kdslT3qXRCmp5Ga00xY/ONy7k9z0mPGzf9c2o2ZfGwFvB7d5pMZu1jYzQ4wuAxLPNNMDm5+ULftoUAx0bDmRs3cO/elVZ3sdRedTo4q6tEhYLI8BF3bmXMuHaKMCT3zju0Xn993dPO6irO6iqdF17Y1easZhMVBITj4/E/GRP1uP2eHbc4VjGhV7Gjf+S6ErzQenfHf8gYlrFzKrGRzBusrUn7uTAUJ/u1NeEdtRq0WkT1eq+92YfANEI2r4FwiTCES5eSjl7T0/JcPi+8xXh/mTLj/k5eIO95jJLkNI6bg7i7/kVEVfEQeAB8Hfg3ALTW/8MB7O9E4OLly/xr587xh9NpJhEy7wJ3gb/+9tu8+emnLNdqCbHvJ9OlkmTmq1XJ3oNcDJ4nrvnlctInstns1bXQ7SZtJ2I5FrYtF2+jIc/3IzaRARJif8yiYF4YUWoFeGGEa1t8+2qeyxMuk1l7oM7ch9XvOv/sswe27f7vaoSThYMcN3vFoMi2yVL//p0W373dXDd+DQn+xuXciSCYG+cZ8x3WOiFzeVvWQCFYSpNPW0xlbKJ9rN8fN27659S8a6EUTOecTXvNj+aX04OhmW9se/N6d6UIzp0jmJ0FrUnfuoVTLvcygioMce/dw2q3ibJZrJgsozXWLgm9MdQjDNcfQhRh7aElXOF736Pwe7+XbCcMZVutFvg+VqeD5ftY7TY6nZbSAdOartEgyueHOkM/NGPnBGLbOdjwgk5nvTJ3cVEy854Ht24Jn6jVoFwmXF2lXK9zv1CgALwGvAz8MdvmX7l0ietzcyK1v3JFtjc5KWTetuW3kdRnMqI0zuWE8xjJv+vuiMzD6Rw3A83QK6Vs4D/XWv/ZQW73NMBJpWB8nOtnznA9COg0myy027y7uMgt4NdrNexaDQ1MAF+ZmuL6hQtJ5txxkjr7sTGJdJkIVxAI4c/l5AIydfH9GXvHSVwkTUbetMkzF5mBubCPWcZ+M0nvQbngHxbsQUj9NoHpH11th4xnbb71xPEnPyMkeNy4OYqe7INStjwu03/cpPVbYbNz5NoWX7+Y442bTZq+ptIOKbgWlZaw+Mmcva+g5U7mGzOnLtUD3l5oU+uGjwRLj2ubwBH2hoO6Tx0EdCaDUy5j1euEExMoyyIqFmX9lU6LDN/4G1kWyvRw3yFUuy0mdUEg2zLPh6G02tsl7EZD6uNjozIVhmilxLjPtHzTGqvV6rWlMwmcYH6ecGxsqOvmj9PYOU7Ycg42rvFG1Wuc7KNI3OvbbUkcrq4mxndxKfBvAG8CTzUapIFZ4JWxMeEQnY70kzcy+TNn1pN3SEzw+s2/u10Znzsk8gancdwMlNDH9fKXlVKu1nqXOqQRGBuTQRyGZByHJ4pFnigW+ajRoLGywqdBwAIQAN8tlyEM+bRa5Y996UvMxLVe2LY449frQubHxuTiyGblolxYSNpAFAqSie90EsMJ101MJ0zdfrOZXHgbib3WiWTrEFrd7QdbLfRPygJ/kCi3Qm6WPSylKLVDXp7LjIytTgn2ahY5iCDAIK7FkySr3wrbnaN6N6IdRExnbSrtkKJrMZu3ee1cdstuGweBG6UukQbbUnz94nqZ/3FuEzjCyUZYKEAUiXEeEOXz0su9ViOIs4kqTmLoVAq7ViP9+ed0r13r20iI+/AhXtweLrW0RPeppwDJ0BvXeW0SLrFH0W4z9Mr3IQzFnK/ZxG610EoJcW+1sJeXZc0WhmJ+Z9vymdgRvCfTH+HUYdM5OBvL2sNQ1v2ZjIzPbld6yQeB8ItSSST33a48brV4E+kvPw40gXPAc9PTwgccRwi8Uomxt+NIkjGXE96Rz69PLoJs/3G18iP0cCA19MA/VUr9Q+S8AqC1/s8OYF8nBpVSiaKRlOTziRFdOs1zsVP9K45Ds1rls1KJ3w4C/nG1Shr41Y8/Zg544soVnjJBARAH+05HLhDT9i6blYt1dTWpsx8fF2LfaiUO+qZtnlJJr8fYEb+/h/26+npYT+ofQ+wPOwt4Ehf6jY8+OupDeARHkd0dYXfYbtzsxSxy2DKum/VmP0njcqtzBPDeUodSK6TUCrk84fLq2czATOl2Ot+YxeJk1qHaCekEmnzfmuwkzsUjbI1hvE9tCdsmNN5DfbBqNfTZs/IgTmLoVApnZQX3/n0A/LNnifJ5rHYb9+ZNvIsXsZtNUouLCaFvNlHdrmTVAffePanfd5zeczuFMtlLIPfee6SWl2m+/jqkUtjtNqmlJSkRaDZRrRbatvHn58UDYMhr5w2O1dg5RnhkDk4hZN6U4qZS8rjdlkRgEMCdO8ID1tbkd8wbfguplb+IJBwbwM+fP49lWs8ZE8rZWfnbcZJa+WxWeEcqlfAOoxDYZVa+H6dx3BwEof8i/rGA4mPeO0KMjHGXD8OkR7zpHR9Hstx2Gxd4OZvlN2/fZir+7B3gPvDR7dv8xcuXcVwXx1wYxhGyXJaLx0TBcrmkDUWtlsjx63X5KRRk36Z+xRD7MJQL2bhPmoutX4YPSeZ+C2J/FARgGFpTDZpUuFNTdB48GMCRrcdUzubqlEu1EzKesZnK7ayd37ARuxE2x3bjZi9mkYZgph2LRjc6sozrVr3ZT9q43OocAXR8zdMzaUrNgBfPpEnZg1NM7XS+eRxhP+y5+CQFc44jDuo+dVgIi8V18ngA+jLhzuoqhe9/n+6VK3SvXpU69ViKrzwPq1brfcyuVnsmdQBWo4FTqxFMTfWe6/kXxckZ1e3ilMv4JqBgDiGu31fdLu6DB6A1dr2Ojp3InWqVMJ+XXvSeR5TLSdlAp9M7vmHHcR87w4p1c7Ad4YaB8AHPS7hDuSyJv1ZLSH29Ls/VavKDSOxvA08ghmm3gQyxQZupj8/nxbzbtpO6eNcVBbEx4TZ95I05ZSazv//vFI6bgRN6rfX/ddDbPA3I5vME+byQ6mZTJnQTfXXdhBy7Lukg4Lnbt+kA/+K1a6hajfeWl/kt4Ffu3OEe8M2pKV6amGDNsphKpyVTH8v5aTZlm5mMZOcNsTcSm+lpuVgdJ5Hrm3p8reV5309aR6RSjyf2G+rrj0pyeZTy+oMgFe78/IFMWq5t8a0ndr/gHklpjwe2GzfG2OyNmxBovSOzyIyjKLVCOoFPxrHIOEdTdrPV+Dtp43K7c5RzpT3deNbmo9UuHf/w55udEPbDmotPWjDnOOKg7lOHBssiMnW+iIGdTqXENd7zCMfHCaanSS0sYFerRMWimOUFQU8Kb9ZwVr2+LhtvtVrY5TJhodAj9Ok7d9BK4T35JABOqUTmxo1HCL0VZzLD8XHJ+kdRr6UeSkkGf3xcWtmFITqW2Ifj41JacAxw7MfOEMO1LaZTIUSx6VwYJmR+cVEy8LWa/G2y8rUaC7UaY0hW/m3gPPCzwPjEBDMgpH1mRtb9U1OJp5dRHxs3e5MYdBxRAPi+vLYxeLaX/+0UjpuBE3ql1CzwfwSeRwI1AGitf27Q+zpxyOeTwRzXRvWIvZGyZzLQ7fIvfvWrcgF4HrguT6dS/NMHD7gLhMBvl8u8Wy5TAv7C7Cw/XllhFfhzzzwjnzGZ+1ZLLqjJSfk7ioT85/NC9tvt5BhipYAXaertgGIuhdtuy/tN7Us/sd9YX2+e5+Akl8OciTkupKL/O5zO7W6KGElpjz+8MKITaH7uap5OoHd0LXUCzXTeJmOn6MSfzx9B2dtW4++kjcvtzpEh0n6o+eH99pHNN8PiTXJc5t0RjhGiiMh1xRSv2yUaH++ZCjsrK3THxlC+T2plBbtSQXmekPUokjr3uB0eSIbertfFeT6up+/P6AM4Kys4q6tJH/AYRnIfjY3J+5aXUc2mbN/I900QwbIIzGeNAnSE0wutEyVIs5l0sfI8ycY3m1KaWyolnbIqFbrdLn8bSMebOQv8ESAzOZm40BseMzsr5L5QEPKeSgnXyGQSBTIkWfl9SOxHOBjJ/X8P/DLwzyIt7P5VYOUA9nOi0KjVyERRQpxdNyHXJsNualsMcY5vKEQRE0phPXhAB/gW8GNgDegCH6+s8F68n9/45BNuAb/49NMy4adSQtDrDyhmXVxjrhcEIrUxxN73wXXx2h1+tBRScXMUsi5fv5TFdVNysSuVEHt4tL6+7++DkFwOeybmIEhF5969ARxZgv1+h8NQ1jDC47HVuNnr+S+mLQquRcvbWUb/oLDV+DtJ4/Jx58gQaS+Mhn6+OWh4oQQ2MqlHv4dhDv6eNBy3cfM4+GfPJsRDKaJYHhxMTuL4vmTLu12yH3wgzvVhiF0uk/7sM2kf57o9R3uTvbdqNcmkRxF2s7murV1qcRHlebi3b+NfvNhrM2dXq+tKAXQqRfr+fbpXruCUSr1jVGFINMSt6bbDSRs7QwGzxtdaiLtZqxtpvambr1blp9EQEzzgPei11p4Bvg1kTCnvzIxs00jsjeGdUfpOTQlxd5xECRCGidJ3gDiN4+YgCP201vr/pZT6y1rr7wLfVUr96AD2c6IQRZG4QGYySY94Y2bn+3IxmJqnVitxnjRRLqX4l65cwXFd5h1H2tT5PuV2m08ADbQRF8oU8PnyMk/Nz+O1O7z7sAHKgkKBV7pd3EwmkdivrfVUABSL1H2FX/eZKYS0m1CfnGF6OpVk4ttticyZGn54VIYfByHcuEfxfmEWZn6ohzoTcxCkIup2B3BkCQaRzRqWzNwIW2OrcbPX87/fsT1IcrXV+Dsp43Kn5+g4zDcHif7ARyal+OqFbM8ccNiDvycNx2nc7Ah92W3/4sV1z0e5nLSg832sRgMrXqfZ9TqpSgVAau8bDYgiIfiOI/L5uOe91WyiggDVbktdfFx3n3/zTTq1Gu1XXgEg9eABUV97rnBiQqT0xsg4RufJJwciYz4KnLixc9SIyy/QWmriTe16pSIZ+VYL7t0Tor+yAs0mP6nXWUb8umyEOM4DLyjFVKGQ9JP3PJifl4y88erSWl43zvamRDcIZN+FwoFk5U/juDkIQh9rOFhQSv088BB6/m0jbIGxiQkCI02ZnZWLqVYTcg9Ju4cgSG4mtVoiu7dtLpw50+sNf/3yZeh0eHNlhffW1sgjJ6GEZO4ra2u82WqBF0LhAjgaqg3q2TTT/Y72+XwSxet2KdoOOe3QrLTIFccptmuwEkvuC4WkVCAMH0/s+7P3e5R/bVy0bZaJGSZsRSr2Smhy165Re+utgR3fSZMmj7A5tho3ezn/+ynRMJ8fkaudYzfnaNBBjEHPNweJ/sBHpR3Q9HVvITKS4R8ujtO42TdsW8i47wupX1sjnJjAbjSw4tZxOpUi++GHQsb7yxLjzKndaoHnMfFP/gndCxdAa8nq+z7unTu0X3kF9+5daaU3N5fsW6lepjPKZnvt9Qad/TxMnKqxc9CIFSD4fpJ8sywh7qYdXakkxL7ZFMLfbPIRYrw9htRSXwTOjY2tl9enUjA3J8nAbFa2m0pJVt6Y4Jn9BUGSuT8gnMZxcxCE/v+mlBoH/vfAf4GMgX/7APZz8pDJwNmzIm+BpAbFGFM0GolLZBjKxWPe22rJc91uIntPpfhKKsWvra0RANczGXJhyEe+z+8BHc/DAX6ucQeYgEyG5bUWlbUK1yYnhaA3m4nrvlK4QcAr2Rz1tEux6OM26mCNyQXaasmx5fPyOAyTC9dIbODR+vp9EPuNC7OvXsiSstWxklEOE6E5SdLkEXaP3Z7/QYzdEbnaHUbX6M5gAh+VdkCpFfLuQosPl8VMMOMoLAWVTnCkJSIjnDxo25asfJwF9S5dEjJfrWI1m4RjY0TFIlgWmc8+65kGqzBEaS2Zet+XXvWehxX38g7m5iCKcEolVLdL4Z/+UyJTg7wJTF39CCOgdVLCYVrRma5Vi4uyzn/wQIh8uZx0v2q3+RFQBQrA08BXTWntxIRk3j1PSPv4eJKZV0peGxtLsvL9x5LLjTwcDgAH4XL/j+M/q0g59wg7QLfTwXYcIehKycViZPWQSFdMTYuJ5pqsveMkEvw4S4/romyb7+Ry/JNWi6fOnmXScegsL9OuVnka+BT4HeBV1mh34Icdqbv/2VKJl69cEeOLXE4uyFIJtMZVimndgtBbf6EWCuuJfTab1Ol0uxKwcJxE4qPU+vZ2sL6P/Q6wMVu1m37Lw1JDuR9C48cSvkHipEiTR9ga242b3Zz/QZDxYVKFDMuc8Dgc1TV6EPPNQcEEPu5VA95daFHtRjS6Af/4RkQxYxNEGttSfP1ibqjP9UnAcRo3+4W2bSzPw6xgdC6H9jzsWEZvEOXzpB48IJiexm40IAjQliXt5JQiiIm83WwmG4/Xd3athrZtwqmTL349TWPnQKC1rMOVSkyuUylZpy8uynN378rjSkUIfTzm3kQ4wlngNeCccaWfnU26b509mxB54+t15ow8NvXyZq1vWftuR7dTnMZxMzBCr5T6G9u9rrX+twa1r5OIRq3GuJG4W5YQe62F/J49K9IXz5OIWrEofzca8nwUJfKVsTG5MH1ffmvNV599ltdSKRytwfN4fX6e1+fnJQp88yYt4B6witRLpIEfAdy+zfWzZ+UYqlWJuIEQ+yiSoIOZGAoFOaZ0Wi5kEwU0Le+0TozzNiP2/TL8x/Sw78des1VHkRXfjCxsZ9q0E7Rv3z6gox3hJGNQ42YQZLz/Gs44inIrBMJdBecGgWFSyhwU9huwGPR8c5ABFLPt+YJNyrZodAPCCB42AlLtgC/NZmh0j64jw2nCqbpPxV2KdF/XnyidFnn87Cxhsdh7q3/+PID0hY+VkKm4n3w0NobqduX5jbsol9fVyJ9knKqxM2gY0zmQjLtpO12vw/Ky/L53T7yyymVotVhuNrkdf/wWkpn/o0DadOEyTvS5nKiE0+nkufFx4QlGXm/W+CDvO0Qfh9M4bgaZof+LwAfA/4jUzY96D+wC02fOSEsR07KuUEgy7dVqYn43MSEXYRjK46kpiaatrSW169ls8uP70GjgGAd9y5Ln4yDAC1evom7eZGpmhrl6nW4U8eu+z23EQC+9sMDLk5OErsvHDx7wgqnzT6dlv0EgBN3zEhO/VksCC0ZhYBwu0+mEuJv6enPRb2GctxNiv5ds1WHLfDcjC8CWpk07xdiXv3zq6oRG2D92M262I12DlH+bNmt31jwArk65fOuJnZPq7Y5zJ8TxpEv/BxGwGNS42ep4gIGMJS+M+J1bTartkELa4sUzaTp+xGIjIO9adANNqRUwmbVHcvtDwKm6T1kWyveJMhl0vG7R6TR2s4k/P4/eRCavbRvleWikB304MdF7nr6sPgBKkVpe3nQ7JxGnauwMEv3md7EBI+m0EHfTjm5pKWlL1+lAp8MN4GOEHDrANSDtOJJ1LxblfePjYoKXzyfy+ZkZedy/rjfr99i4+zBxGsfNIAn9WeB/AfwZIEBa1/1PWuu1Ae7j5KP/IjAXQLGYGFkYV0pjQtdsygWUyyWt5trtxDwvnZbX2u2k77wxrrNt8lpz/cUXZbszMxSbTf7lIOCDhQXeAX4F+KeVCheAJaAVy1hemp8nMzaWmLCUSnIc7bYQfPN7fFz2ZbL3Rm5jaswMsTfOl/sg9rvBYct8NyMLwLrnUrY6cRnBEY4X+kkYQLkV8t5Sh46/NQncr9GjIXalZshSM8C1FZZSuyLV25HVnRLZYZL+HwQOM2Cxk+984/GUWyE/We4MRCFRboXcLIvs+U7Vp9aJGMtYXHZSPan9a+eyzBWc0Zw7wsChogh/agqdy8kTlkXkONK7fhNox0F5HuHEBAoSsm7bibFdH+xqtde6boQRHoEpdY2ipIw3lZJWdJUKzfsPuH9/BXd5iWy3zZTXxAa+j2Tl54BzwBngSjoN584l3OTSJeEfxrU+nRZne9Nn3uwripLnRjgUDIzQa61LwC8Bv6SUugD8WeAjpdT/SWv9/x3Ufk4qIlM7bmT2USQXi6l9MX3nTd2KqatyXSHN3W5Sp+778ne9LtE0c2GZTHm3K58Pw6TmxVyAYQi+zwtXr8K9e0S+jwd8jrS+e8cc8OIi17VG5/P4pRKuqZeJjTR6bfdqNQlIjI3JtjsdCTAYKY4x6zB1Pf3E3kxI/bJ8U4ezTxy2sdRWZGG/BEL7/uPfNMIIG7DZuNnYMQKg2g4ptUOenknT6EYDIdgbUe9GNLoRTT+i40d0A0UhbTGe2Xn2dKOj+b1qwMVxIWtH2ebtoLAXqfogAhY7nW928p1vPB5g4AGHKK7eKqQt/BBePZvl3cUOgdbcWO0yVzgIX+CTgUGWQ5y2+1SUzz+SQfcvXdry/dpxUGFIODu7/gWzRtoA5fvr2tWdZJy2sbMvmPW0Uj11bm+9/OAB1Os0v7jF995ZIt1dwqfBBHAXWAZqyDrfBa47jqzVZ2dl7W0k9iYr7zhJVt5xksy8OY5M5tCz8v04jeNm4HczpdSrwC8AfwT4VeB0aR72iPLKChP9vUPNhZBKyQXqOHKBmgm+WEzMLmq1pG3EmTOShe90Eom76SXf7Sa1L/m8vM+Q+yCQ9xYKPWn+C+fP8wLw+eIi5U6HVcQgwwI+Ab60uspvLS0RAf/SU0+JOsB1k4x8KpXs1xD7yUn5P8xkYf4/25bj3Ujs+4n8xnr7fRL7wzSW2oos7JdA1N9/f9CHOsIpwGbjpp+ELTd8UDCddyi1w13Lk3eTDS6mLWxL0fYjZvIO2ZTitbNZnphyd01WjaP5+0ttblbkmjvKNm8Hgb1K5wcRsNjpfLOT73zj8cD+A5wGUzmbq1MulZYon/xIU3AtUrYi0jCZcU5kWcWgMGg/idN2n/LPnt3dB1IpvHPnNn9tE1KvTI3+KcBpGzt7hjHKBllzNxqyju50RFpfr8OdOyzeW2ay+4AWHhNAhKhv68A40mv+ORDyboyuZ2dFYt+fmZ+fT5KMJilouMoBtqPbKU7juBmkKd6/D/w8Un7xPwD/rtY62P5TIxhMTk+jQS4GIzM3shlD7g1ZNnVVJptvpO+dTtLabmxMMvcmIx73NaXdlucM4TaGFu22/DSbSSBgeho8j2uZDNRqfLC0xK0wxAVWgL8VhthAB/iVzz7jWeDqE0/IZ7NZ2Y/WMpEY2f/aWmKcYRQFRjngeckEYVrdpVLrZfj9GfoBEfvDwmZkYb8EovDcczQ++mi/h/YI9pqdOS4u4acdm42bfhI2npVIe6MbcXXK5eW5zK78HXZLor99Nc8bNyHQQrx2Q+bNNoyj+ftL7Q2EzTk2mfedYD/S+cOab3YaPNh4PIM6T65t8a0nEqPFTqAfCRpkUgo/1HhhdOzHxKAx6PKMg7pPnSRs1WZOheGj5H1ASsXjgNHY2QFMrbxxsm+3ZR1fq0mP+aUlydA3Gsw31yjhkUfW8SAtyZ4BriOG2C9evCjjy7ZFbm8M8UB8vIpF2b5R/pq1eSYzNOPyNI6bQYb4/s9I+cXL8c9/qISIKkBrrV963AaUUhPAfwO8gCg//nWt9Q/6Xv9DwD+I9wPw97TW//7A/oMjhO04YorXn4Hub/fQT+4ta/1FFIaJ0306Lc91OvIZQ+4NaTeu+KamPjbCIJMR0l0sCqnvdCRb3udU+UKhwL1PP2UaaCEy/BA5wcYlv3DrFhO2jTs7K8fSaiWy+UZDJoVGQ0w5+vtUGvM8204UBqbt3WbEHo4dsT8IsmtlswPZTj/2mp05DS7hJwWbjZvNMqZ7Ha+7zQbnXZvvPFXY1/Xh2hYXxx1uVqwTWwcPR1vrv5v5Zi/Bg0EpJDbOtf0u9t+8ku95Q/zgXgvbUnz7ap68e3gOzMOOQY+xg7hPnRqE4aMGeEcoZT5sjMbOY2BME7VOVLfG12plRdzsl5dlzb2yQt7zOINI7DVQQZJyTwMql+P6/HySlDNkPpeT9fnMjHCFbDbxvwrDxK9riHAax80gCf0TA9jGXwd+TWv9p5RSLpDb5D3f01r/swPY13Bio/FbP7k36Hc97XeTNLJ5SMzwTD29uUCNhKZeT0i97wuBNu8z0TdI2uXFtft//MUX8RpNloOQ6r07nAc+AsaQOpz/GXDDkGuLi7jAa5kManYWy0jGTD1/GErgIJcTUj8zk5j2ZbPyvFEb9BN7I+8x9fWw+eMhw3Eiu3vNzpx0l/DThp2Sq60CVbslZ4Mgc5sFEo7TtbcTHKda/6PA4863a1uk7IiWF1HphLS8iDduwneeKoy+yxijMTY80Ok0emPv7k2M8kY4udj0HttfLx8EiXdVKgX370t2/sEDIfWLi1Cp8CZwE6mVLyBEvohk5ycvXJDP2rbI7ScmhMynUqKqHR9Pes0bozvjw3WI7ehG2BqDNMW7s5/PK6XGgZ8F/rV4ex7g7f/IjgfKq6tsKrjaSE6NWZ75u39iNxeZIffGUM9k7tvtxOG+WIRiEa/rUS9VKbpp3DBIXPBdVyaHWHZPuw2tFp4f8K6XBj/k7NRlXpp0eKnRwOl0+HG1CohT5jtIP/uHnQ7n7t3jumXB+fNybN2uBBAcR46/2ZRo4sQEnD0rE1GnI8eQz0ttvplIjOrAtMHoN84bYmJ/UGS38cEHAzi69dhrduaku4SfJGw2bvZCfIeRLG8MDJzEQNNR1fofxHwzaOzUkM+2FC0vIudaBFqfiHExSAxyjB2HcTOsCDYY5WnHQXW7R3Q0h4/TPnY2vcdaar35nTG5BiHz5bL8Nr3mKxU+QOrjQ4TMXwHywEuAMoaN2az4cBUKklRLp0VJWyxKZt6oZc2a+4iN77bDaRw3w+Sq8QRS0vHfKqVeRsz0/rLWurnhfV9TSr2H9Lr/P2itPzzk4zwQZHObiRE2QT9J3djmzVzgWidu+Ib0G7M52+5J3L2uxw8edGhEOQpWxNdmFa5xyW825aJutRKJfzZLvdmF2ho4EegMdddhelLM764XCkL+V1ZYBO4DC0h9zpkoYvrePYog0T/jtm/c8HO5RBY0Pi5SH8+Tn0wmIf5G+tNvpLfRAX8j0d9mwjmsmu+DIrvu3Bydu3cHsq3eNveYndlvVmdUf3942GzcbEeEtjo3x4EsjwJNg8Mj46Y/oDzAtqL7wU4N+Tb6NozGxcHhIO5TpxXh5OSmzvcnFad97Dxyj235TGfjLlFG1arjdh6Li/KzstJztada5SbwNpJkO08iff5SOoOankoSf+fPy7o/k5Fk2sSE8AZjYG38vVKp9arhIcRpHDfDdEYc4FXg39Ra/1Ap9deBfwf4a33veRu4rLVuKKX+GUTh/dTGDSmlfhH4RYBz584xG0c4G40GQRAwMTEBQLfbpVar9V6PoohSqcTExASpONtdLpfJZDLkYsJdr9eJoojx8XEAOp0OjUaDmZkZAMIwpFwuMzk5iRMP+FKpRC6XIxvXdNTrdbTWjMUmKJ1Oh6zrkv7ZnyUqFIi6XRoffEDhhRewYul7/f33yZw/T2p6GoD2zZtgWWSvXAHAW1nBW1ig8PzzEIZE9TqNTz+l+MILqGwWoojaO++QPXuWVD4PlsXDT26SJeSFp87S6fhor4bVblC4dAkaDcLVVZqffcbY5ctCoOt1vJ98wNTLZ8lakGo1mCwv4RYKZOIa/W6txtdyOfKTk/zWu++ygBD730Amk8uAvbTEOHD92jXe8jz+0c2b/OtPPsm1uTmYnKRTrxPevEn+ySdhfp7Asmjdv8/Yq6/2zPNq9++Tf/FF7GIRXJfGrVu4U1PYMzN0A024+BA78MldvQpa41ertO/cYezLXwakpUXpnXdZnL+Gnc0R2jB17xMK585K/T/Qvn0boojs1asA+KUSnQcPKL4kdhC7OU/5y5f5zssRzcVlUmsrTL0s2/CaLR68/RMuXP8yqbQUetbeeYfslSukJicBaH3+OVY6TebiRfnM4iJeuUzhuefInD+PncvRvHFD/rc4wFN76y1y167hxOO0+emn2Pk8mfPnZew/fEhQq5F/9lkZt/U6zU8/Zey113rXkfvWW+Sfflq+Y6B54wbO2Bjp2I238+ABYbNJ/umnAQiqVbxPPmXup75C2lHYWlN75x3yzz6LHRuqND76CHdqCnd+XrZx7x5Rt0v6ySdZrngsPVhl+dOb/Ik/+Q1spdC+T/399yk891yvJqrxwQe4c3MHcp7WXU9LSxReeEG20W7T+Ogjii+9hIrnht2cJ4Cw2TyQ81Tbw3lyxsd735+ZG8698jxfez6FH8LNH73HmScvkj93llBr3vmDT6i2Ojz3/Jd4YtIlWlujffs2l75xna8979FqeXz2/bc4/+qLuPnc0J2nf+bbL6LHJkk7iu4XXxyb89T6/PNkG/F52sn1lLt2Tb7jSoX27dvr5r39XE+Z8+dx8nkaH35I4fnnZRtaJ+dpagosi/atW0d2PU088zT/wlfG6AYa7/NPyYwVNz1PY8Cfeq7Gw/c/5tJPX8e21Ik5TzBc856dz+NOT4+upyE/T8M476XPnqVz9+6pPU/2wwUmave48vpLZHTAOden+9mnjD37rBD2VIra7/8+uVQKJybczaUl7FqNTBjC1BSr5TIO0EXI/BwuS6TJvfAsOdeBs2epdTpynvJ5mJ+nWa3izM2RvnABXJfO/fuE7Tb5F18EpYb+eiq+8ELvM9udJ6vZJJycpGFZTMevB0FApVJhamoKOy4nWF1dpVAokInLX6rVKpZlUYzHdavVotPpMDU1Jcfl+6ytrTE9PY0VX08rKyuMjY2RjsfP2toajuNQKBTk2mg28TyPyXgseJ5HtVplZmYGtYNgudIHEOlTSmWBS1rrT3bxmXngD7TWV+LHPwP8O1rrn9/mM7eB17XWq1u95/nnn9e//Mu/vNPDODLMTk0R/M2/STA3N7iNmqy9ydyDRNXi7LXX6fJPbzdpd0OyruKnL2RwdV+mOwxF4t5oSCa93YYwxGt3qLe6FLstkf4Yd3yTETefi83t3lxd5QukXieMf+eRuh2NtMB7Abh+4ULS79L0tQd5PDMDU1OJzMeYAk5M9Jw1PRTffejT8jT5FPzslTxuqq88AXpZJC+MHnHE/sblHNO5wce4tpIlD0KuPPbaa9TeGo7OkPv5f0qtgN+/0+pFoQ/qXIwg2GzceGFEuSWyvX5H+8W6z+/daTKdc2h0o0fOzV6UFQehxhgpPA4Q8fw59uqr1N59N1F+GUNWkHtLfy3lDkuezHnb6EZ/EOdyNEZ2hkF/T8N0nxrheOG0jx0vjPidW03qjS7FnMO3LmZwo1DW15DUyi8uitT+4UOoVHqfv4tkQstABhAqXYRMllfOFnAvXkgk9YWCrKmNt5VlJaWxRql7TLDTceMsL1P79rcJYzI/zHjxxRff0lq/vtXrB9GH/p8D/hPABZ5QSr0C/Pta6z+x3ee01otKqXtKqWfiQMC3Eb+1/m3PA0taa62Uuo60RC8N+n84CtRrNQbuyWhZSX9IU1fv+/KaUrj5HD/9tEu9E1K0Qlx04qRvFmyZjHw+CETe02jg5nJM59qgJoXsGwO+bjeR6FuWkPJWi+vFItdrNd4slfgJMAEEwAdID8wi0ATevH8fgNcvXsTyPJlIzGTS6Ygk3/TDbLdln2biGhujjku37jGRd6h6NnVPM21Hj5QmeEHId++2aXQjSjGBOUjJ5Vay5P7nK+2Ae9WAi+POrhZQ7du3D+SY94L9yK9HsujDxcZxs1kwxjz/3lKHUiuk1Aq5OuU+cm52W2vb9ELeuNnsSZ03C/zsllCY4290o325lh8Hwncox2gknAZx5qd9+7bcB/o7r5iWSaYHcX/rVfPZbf4Xc95KrZDpvE3alnZyEWw5PvaCYfR7GEYcxPc0TPepEY4XTvvYqXdCvLbPTDFNvdGh3lBMh21Z166uwsKCEPl794Tcx2viKmBqk0PgWYQwNclwbbrA3OwE7tn5hMxPTEi5q+l41e/VZcyojxFO47g5iBTYv4e0M/xdAK31u0qpnTrg/5vAfx873N8E/oJS6i/G2/kl4E8B/xulVAC0gT+rD0JicBQ46H9DKSHmJuvt++D7uCD1OLabLMpMRt/UopvjMxe7cdQ0xnZhmNTdmxr9Wk0mAuPCPzvL9elpXqvXUfU6KpXiB5UKnwI+cAMh+inAv3ePnwYx57DtZGFo6vuXlpKMvTH8q1YpKouxDqzpPIWMQxEfsNfX0lsW9U5EuxMylZEF/0tz2V0T6d1gK7Jqnq+0A0qtkPeX2tys7HIBe8But7shD/sl5S+eESnTbvqdj7BHbBg35VZIpR32svD9QaeOr3l6Jk2pGfDyXGZf58YLI377ZpO7ax45N8nE9gcE9kIo6t2IRnd/ruXHgfAd6DFuJPFm/tc6MVM18755v2lvChLANfcCU2PZP39vsiCsdyManrze8iPmLYebZY9AQ86xiHKPjo+9YicBx6YXstgImS/Yp7aN3cZA862Kz3jaWjcv7zqoNHJlH2GvOM1jJwwpOppM1qHe6JDDp2j8ohYXhcyvrcGdO/DwIaHWrCAE/n2kJd213sYKgINNCu/CBdwzE7KmnpqSzHw+L2t8206SeCYrPwTeKLvGKRw3B0Hofa11dYPef0dsVWv9LrBRTvBLfa//l8B/ud8DHEYUx8cJHv+2wWEjuTdZFmOOAYlTvsm4KCV/K4XnpinrNn7QJhW0mcrYuKmUyHTabXmfccs3/e4Be2qqFxQ4X6nwISLleA3pg/kuIhF6GVDLy3wOPD8xgWOM8RqNxFCvXJbo4uQk5PO4jsNPTaaoexWK+QIucds+YxIY98sspi2yGZs1T1NMwcXiwWbjtjKLM89vlP7vZgGbvXoV/4DkaLslD3s1xdsqOzzCwaF/3GyXhTdBmkY3YjJnM5XbH8mpdyPCSJNzLVpexGzOeSTwsxelxyBcy4+Dwd/Aj3Hjoqc/iGvIucnGA9nZWfy7d2X+9Tx5vyH47XbScjQIkvZGtr1lxj7jKErNkJYf4YdQ60agIAqh3A6I0GScwSwmtwo4GnJqKfi7H9boBBEZx+IXXho/laS+P9C83PS5/7mPbSmenHL51hMyN+82qHSQ96kRTjZO7diJ51zXsfnmWYd63aeoLVzfTxzsFxfl77gl3RqwhPhVecia+noqRbNQ5MNKQJUU/tx5pmYmYUw6XTExkbjan6B2dKdx3GxJ6JVSv6+1/oZSqs56Qq4ArbXetMsa8KFS6s8BtlLqKeDfQjqZjTCsMBcxyCSykdwbyXoYQjqN12zx/Xsd7pTb1AJN0cnxZCrgq3NKWt/ZdiLBb7fFuCOdTnrex1n7y088wcsPHvBMJsN4vDgstNsoxERvDZmYFtbW+Dowls3KgjGKZFvVqiwmKxUJJOTzuDMzTCsFXldqibJZiTqaAJNl4eqIb17MUA9UQjwPuNXdVrJk17a4OO5ws2INndx8L+RhL62OjgOROsnYLgs/6H7UxbRFIR7fMzmHn7v6KBnYi9JjEK7lx6HsYyDHuNGZHtaT+CBY77/Sn4lfXJSMkOfJfaNSST4zNpa0JN2YrTfdSDYQ+06gmc7ZnHNStP2QF+ay3FjpcmfNo+A6TOfkPfkBlG5uNpb7g4leGNHyI8YzNvWuZOqfnDq+C9q9wnxPtyo+9z/zaQcaS2kqLZmbgdF8PcIIBwnTclpr8DzcTptpFftZ3b8vc/C9e/J3q0WIeFFpROU6A0wCX3YcGBsjn8nw1NwUH3bTuOMTfBbleWV8And6KnG1N2pbpZL5eoRjhS0Jvdb6G/Hv4i63+W8CfxUxVPw7wK8D/8FeD/C0oNNuD0fLAVMDCYnhkWkRF2fp61aaiu/j2Slx1FeKNZWinssznbFk0jGmeJmMEOpWKzHXKxbxWi3qa3VeuXAR17F7C8FXbZv7jQYVxBG/iMjxfxV4ot2WAEG5zOu5HNb4eCLr73REMlSrScbeLCS1ln27rhxH7L7p2jbTlgYdAdaR9rDfD2nySwdnIbEZeTiI+t3jQKROGvrHzeOy8IPsR72Tsb7X6yHv2nznqcKex+eggxcHgT0f40YS319KZeZ4E8w1j9vtxHel25VuIQ8fSmZIqcQI1RitLizI4tAEXk22Pp2W7aRSSYA49mkppqCQtmh0I1K2xYUxhwtjzoG1k9s4lvuDiaVWhOso6t2QjGMxXzh9ZN7AtS3G0xa2BZZSRFqTTcnc7IcaS0GlE+z4/BzkfWqEk41TNXZM2attJ75V7basYdttkdbXavJ7aUmeQ/rLRwiZvwx8HST7ns/L/Dw3R1SYIOxmyI7nWUsVqU/OMD0xduza0e0Up2rcxNj2zCmlbOBDrfWzO92g1rqFEPq/us9jO1VoNRpsJXk4Mpj691QqWehFEcW8S7HosuxJe4fIsciPKYq5FBDX2odhIo1vt2U7Y2PQbOJVKrxbDsCahMjjlXSI63kwNoaVzfKCUtyu13ndcRiP91lCIpBp2QPdVosrrRYXs9nEJK9alQVjsyn7nppKFpRRJAvTalUmubExOSalkmioeXwExH6vpKnz4MEBHI1gI3mA3Ust97KfYSRSJw3942a77/8gAjg7Get7vR72G3wYZPDioLDjY+wn8f2Z8Y0kvj8j32rJ392u/IDMm/U6hCGdhYWExJsa+U4nkWiajieFgjzfbMp8WyjI9tJp+YnLuFzH5uvnM7xxq0mg4fv3WnzzSp7vPFXodVw4SPQHE8cyNj93tUC5HZ3qGnqDqZzNk9NpKq2QbMriDz8pwfDv32sRRBrbUnz9Ym5H88JB3qdGONk4NWPHGFE7jhB5Q+aNIfTqakLm4/7qGvgRsAiY2coBmXPTafk9N4c3PoGfyuB2HdYykzhTYxQnx+Q9xiflGBrfbYdTM276sC2h11qHSqlPlFKXtNZ3t3uvUuofsU2t/ONc7k87pmZnD7eGfrcw5B5ww5CvXSnSCus0PZuCrfjq1TyuFcv0Td1lJiPE2izm2uLMWbczdIMmaa8J1Sb1omK6UJDP1WpcO3OGa2Njsq1qleta0240+Enf4dxF3Dsz7TZn79/nOsDMDGGjgW0WkSZbb7JGuZz8hKGoBQyxj30BeiYgRhp6RBn73aD40ksH2tKlnzyUWsGBSS2PA5E6Sdg4bjb7/jd6G3z9Yq7XVuxxi/jj4BZ/4rCFMz2w3oneeKYYQm8y8UZWb7LvZlFp5kXbpvj889Ru3JD502SNfF/2k83KfJvLyefNHNtqyU8uJ3Ox58lCMm432gk0kVZMpS3KHen2MV+w+cly58ANCl3b4usXc+uM8CYH3m7meMK1Lb71RH5dS0FjPpl2LLpBtONyiIO+T41wcnEqxo6Znx0nCZCaeXNxURJRDx7A559Do9Ej8gC3EPf6EPgTwNjEhMy7MzOQz+NNTvKul6VOFntqkpeemGQqn8bNpI9lO7qd4lSMmw3YibZiEqmLfxPpLgZsStD/k/j3nwTmgb8dP/4FxKdhhJMC26ajNDqV5lwOai2fjrYkoxHX2ffazZmJKpfDS2eoOzkyuS7pWkA3ZZMeG6OYDWQBaLL6zaYs/qpVyb6HIdl8nuutFnS7aM9jAsnYtxFy/xJQXl3lDcQI5JXZM9RLaxSrNZm4zp6VbWcySYuOKErKAsbGkkktNs8DkkVxv1P+KcVIGn+6sNHt+o2bTSLNYwnWdmaK/b3ui2lrxwGCEbbAdiTeEPG4owlRlEjo2+1EVm/UV/W6kO1ut0fgse0k816vw3vvSYbIvG5KnjwvKavK5XpGpT25aNzytJe9N0Fe16WYyZJ3IirtiFI74icLTT60FCHqEaPQQQeKvDDi+/datDzNzcpwdjY4Sri2RTGdKLNSNqy2QrqBT9pWtPyIYhiNvrMRRtgrYvM7LEvmxHgu9kpl6g8WKLYauA/uw82b4HmUgc+BzxDFqkXSCnrMmE6fPStr3GKRupOlQo78mQmqYYpUJovr2onE/hgb342wHjsh9H9tJxvSWn8XQCn1n25ofP+PlFI/3svBnSaE4cHLCwcJQ+7WPE0u71IspMUusX+RF4a99hee5/PmF3UaAeTSKV574Qqddodi0MXtdqTex/OS1ndhKAvDTkcWgplMz2xPNZs8DViNBh8gbe/ej4/LQjL3rCzLE+Uur0ynRNKfTkvUMpNJjPqmppJoaDYrx2FkSHGdJ7C+hdMQEfvIyGJ3gP0uhkfS+JODnYyb/gCObSkCrXfUiWErk0MvjPidW01ulj201qRsi5m8PdBe46cCW7WXg4TEm4WhkdQbTxMzxyol76nXk3IkU0vZL5c374lN8KK5ucQ0yWT3+/drSp6M4/3UlLy33U5k/I1GUt9ZKOD6Pj8763AvSPOTpRaTGYdyJySlNNW2Ty5t9/w7Bl3yMzLkfDz6v6Plhk/RtThbdLi75vODey0mszavn8tuW6qwm/vUCCP040SPHTNvGuPRKIK1Nby1Ku++8wVBtY1z5wavdFZJIVn5z4FpIAecQermX06ncfN5mW+nphJlai5HcW4et2yxFtlkCymKrlpveH1CcaLHzRZ4LKHXWn9XKTUHfCV+6k2t9fI2H8krpa5qrW8CxD3oR32oHoPK6ioTR30Qu8C25M5I1Q0xtyzqHqxlihTTmlalJe7GhQykiom0s1ZLzOsaDVkEmoVftytZ/25XFp6+zzXL4kyjwa9GER8jBnoZoLPuSGvUSzDd7crxVCqyvdlZ2Y9x3Z+elrd3OkL4i8UkO2Um3P7/b0iIfeODD3b0vkEshkcy6pODjeNms3Pbf41nHMX377V2pM7YSslR70ZU2yGWUoRa+o5n7BSNbsS9asDFcWc0rrbCRlO7/gCjUQ+ZBYznybxrsuK+LyTbGIR6XiK1VCoxQqrXE+JviH48B37/xg184BuVCpFlkarXefPuXVrAnOtS9zzOAvlz53DCkLGxsaQLSTotC0zHSRQCnidOzXHLJDeX46LyuKUiqm2Loqv42qU8dU/3/s+6pwdOvg/L+PO4of876P+OxrNC1qvtEKVgOuew1g745Q+qBKHest3fTu9TI4ywESdy7PTXy5v50Hg8raxQf7AM5SrO7U8gqFJHzKHvIG2eK8AsQubBopEpMn3xvKxtJyaE1MeSe99Jcy4FOcdmLu/gpt0TY3y3HU7kuHkMHntWlVJ/GviPgd9FcrD/hVLqr2it/6ctPvJvA7+rlLoZv/8y8IuDOdyTi8mZma0NCA4Q+1m8bFn3bAzmQH5rTbFokc141NsBhbEcxfkxaTbcasnCMpORySgIZDHpOBJhNL3s22153G4L8fd9SKcZy2R4ZmWF97SmC5xFaomWSaRIXwCfNRq8CpKp73Rk4sxkhMhPTSVtmCYnk3pS4wGQTieL3v7smFlIH2F9feGFF3Y0ce03E3UQ2bGt9nPaF9OHgf5xs9257b/Gd6rO2CrYV0xbjGdtSu0Q0ORSFi0/pNKOeH+pzc3KKFO/Dlu1l+tXcxkpvamLNxl4k13XWubL/hpNy0qk+LWaPG/Ml4zDslEpra2h19Z4F1k8evfvcx8YQ9qKpoAlz8MHbgP1hw/JA39YKdq+z8WpqaRnfSol8605VscRo6e1NRgfxy0W+dmJDHXtUxzPgQUfLLZoBlLm8fULOXIpBlryc1jGn8cJm80H37ySX1cqU+9GvLfUodGNiDR4gd623d9O71MjjLARJ27s9M/FJpnleVAui3N9o0Fx4S58fgOLkAh4A2kbdhmpe15BEligwBqjeO2yrI+NEfSZMzA1RVNb/I8f1OlEkHEUf/q1WdxTQObhBI6bHWAnZ/avAl8xWXml1CzwW8CmhF5r/Wtx/3njjH9Da336tA+7hG3bh26KdygkLc4muWmXn7k2IQunFBCGlNohxWwO100lpnlGaj8+LpNcpSKLS2PYZHoaG0mobfPKxAThzZuEQcAziDPjm4gU3zSuaCAE/7ppfQcy+RlXZiO/NwvPYlHq6o0U35B7k7WHR2tVj4DYW+n0jt633/r3nQQE9kvGDytoMML6cbPTYM9ujAs3e68x2Xp5LgPImFxshLy/1N6RlH87nJhA0Fbt5fpJvJHQh6HMg6buvV6Xx61WYnpnpJV23BrUEH0jge+X6ruuzLGVCtqy+HBlhecyGR44Di7SFukBYqqTin97QA1xWHYQGWgD+IeLi7SA62trvDI3h+u6QtzNXDk5KfvLZJL/p1LBnZhgenwc6gGlqkOrBROFDNWuGLB983JOznPG3tbDYTdjYTPjz0LaotQMKLdC5ovHeDztAZvNB8W09YhJoTHMsxT83Q9r27b72+l9aoQRNuJEjR1TL298R0wAdnVV1rpra3DrFu6nn/IKUEcSUhqZb9PxTwGALDo1jjo7DTOzUIiz87Ozsna1LO6vBbRCTT6bohFZLDYjnjxBX+d2OFHjZofYCaG3NkjsSwg32hIxgX9vPwc2wsHjsOsH3ZTDdCombvfatLuavO3xMxctiRoaZ/tWSxamSgnJVirJzBeL8rr5O3asf+3KlWTR6/v80UoF3Wz2nM/JCAABAABJREFUnEDHEZnS9xDZiAZmymW+BLK9dDppaTcxkbRqMrX95j3ZrLzH1Iv2y1+PkNg/Dvutf39cQGA/jugGo3rWo8FhmR0aojWVS8jYxXHFzYq1r30f+0DQZu3ljJTelPYYqbrJppvsuglsmnZzJvOTEjEmnY7MYyYrbsxH+7drHOsdB9/zeKfVIogibgCfNZso4BwSIO0Aq/Hv6/Eh/wHwU4hBaRHJ1PvI4uKDMOTBw4f8Ccui1u0ymUolSgClJHBrVFC2LVmqtTWYmqKYyTLRhla7Q34iT9FV6wNFmxiV7ncsFNMWmZTi01XJQby31Fk3Xk8DMo56pM/85nOz0zsXv/DS+LpOASOMMMIG9HdRMt1DajXJyq+syNz82Wdw7x4gBEojps9XNmzqcnGKh0ygzk/TSRep52LJ/fh4r3uIF2lulz3aVopmVzGZ3TzYNsLJwU4I/a8ppX4d+Dvx4z8D/MrBHdLpRHll5dD70B+Va3m9G9HyFeO5OCunHaazTpKpMU70kNR8uq5EHj1PpEXj4wmxN5L9IJBIZyYDZ86gwpDrq6vQavEmkl1qIFmkLhKZOg+MGYlqqyUL4biOibExmJuTBWc2K49NBszU2VtWYiZlFuP9fe0P+rt8//3HvynGXlvDGWfyZ6fTpGy16QJ3r47o/Ri56B8e+sfNYZgdbkW0BrHvYxcI2sqZ3nQFMc+Z+dC41BtfkXZbSK95vyn7MVl407/Y9+Wx2Y7nsez7/ODBA15Pp3nQ7fak81UkA3QbyQDZiOGSycDPA+dsmyenp/m42eSc1lyYnSW0bTKlEi+ZdnRBwIUg4Ha9Thch/gvA375/nwh4fmWF6xcvSpDBEHFTS59Oy9xuWbCyguu6/FShSN2JKBZtaFiUrDQZ16YTKcnSW6zzM9nrWOjP6r88l6HSCimkLVpeNPzjaYAwrv8b+8wX02w7N+dd+xGZfT92c58aYYR+nIixEwSJYXS3K/N2qSQt6dbWJDv/6adEKysYB3FTLx8gJngXgbrlkpma4EN3lrKVo2VPMD41RubSBZg7Ix+M7wV1L6TjpHn5rGKpEfDNK/lTFWw7EeNml9iJKd5fUUr9S8BPx0/911rrv3+wh3X6kCsUDn2fR+Va/ghxyzpJxtvU95hFqOkdb0xDXDeZHI003veFyBtC7jgyQTYaQsi15nq9LhNojDRC8G/Ej18FnE4nyWjl8/K7VBIiPz8v2y8UkoVnvzO+bSf97B0n6fEMB2pAkjl/nvbt2we2/X5ncoCrUy7feuJRj8u9OqL3Y+Sif3jYOG72GuzZKbYjWvvd97EIBG1G4k2mvN/p2LgdG+O6tbUkiNhP4lMpmWtMyzkzPxpDvLjFp6mrf3tpiVXEU2QF+I1uFwtZMGbj30sIcc8Ai/HfAG6xyCuFAmQyZGdnKS4syPyXz2NrzUvz80kt/8ICZ3yfMwDpNOHaGr8WBGTj/d4Hnrl3D29yknwqRc4oEUxNvelXXyxCu43r+0zbNp5X5EdrFmtOnpJ2GZvOk8/YfPNKEdexe99d0VW7Hgsbg02vn8vS8CJWWwEZxyLjnFwn6I0w1+lkVuZu02d+v3PzQd+nRji5ONZjp9/8LgiSOXl5Wch8vS5tQL/4AjodfowEVTWSeJpDCH0JuJjJMH3+PKVckVBPMD07SdWzqExd4oedAt+ItMyFlgWOQ7GYIleSeW2u6DBXPB218wbHetzsETs6w1rrvwv83Z1uVCk1CTyFrA3MNn5v10d3ipDJZg+9hh4OfiG/1T63XBwYuboh91onRN51E6fmdDrpo9zpwPnz8lqjgVcuU0/nKaZcXHTPeO96Pi/bWlqCKKKJLFxt4G0SCSmQGEulUvK7Vkv6J585k7RlMg7SZhHquomDdGwIuK5uasCu+Knp6QOdtPqdyYEtCfpOHNF3Utt6FOPxNGKv42Yn53Cz9xwk6R7aQFC/lB7WE3Dz2Pw2SiTT791I6U2m3feTwCYkdfOmp7yRsTebvdrMt2s1loDnbZtbSBZ+FVkkOogsPhP/XUBKkq6l05ybmpK51/Sh73YlwJnJkJqbo90feDU1+lEk/8PFi7L/Ugk6HWzH4Y+PjWFVq7wZhiwA/xhQlQpjSOYpAH7m/Pkke2W+g2IRMhk8y+beWpugCZP5AqUoQ9EN6bTT1GfTTBfTiVeLBd+8lKXus+OxYEisqZtfbgRM520ydopOGPVI7WnAdtfpfubmg75PjXBycWzHTn9Cx9TL+74Q+XJZlKCffir95UkCnibsOxf/lpk2S/niVaZmxvHHZrBasJKdoD59hmszDq1ORN2H6bTdKwV12bmR7UnEsR03+8CWhF4p9fta628opeqwzoBdAVprvalCXCn1vwL+MnABeBcpr/sB8HODOugRjj92tDgw5N5IlUwmKh9niE0rO+OGX6vhFYq8XYdwLE+q2uCVXBfXtuU9RrL6xBPQaJBaWmINWdSmECM9D8lWvYT0ts/5Pi+srooCYGxMFpmlktT2z84mJN9k9jMZkY9mMutd8M1i3tR8blJnf1jGXrvZz3pnchjP2FuSse0c0Y99nfMIOzqHBymt3w5DEwjazJk+CJLsvLn+DQE2rYqMOadxnTc17yYoaFnryPq6nvJxUPFBs8m5XI4ftVqcU4q3kCzPjTAkhZBnB2l3tIIQ+p93XfyJCTL5PDqKUMYPxJQx5XLy25QVTU7KXJdKJeUBZn7O55NjT6XkGCcmsCoVyGS46nn82PeZRObcOuLY3Aa+XC5TmJtLSgpcFzodvHSadxuKwMpRdVIUfJ/xEGzdpDg5SbGbAhUHO+J51nVspu2d94zZWDf/RcUnl7Lo+LpXQ35asJ/r9MQYU44wwn6x0fyu25X58OHDxPzu88979fIAtxBzsieAFiKxvwe0GKObmYbUBLfVOPWmIrp8lZeemMFdatDwFPmsRbGQxnMc6u2QjCPlR8Cp8wA5zdiS0GutvxH/Lu5ym38Z6Vn/B1rrbymlngX+w70f4ulAvVole9QHMcwwNepmgWsWk+m0LCY7HZiept4OqS9FjOddanaW+rTFdBT3PDYZ/jjz/no2i44jeB8ii1wTpfrN+LePTK4zQKtW44XYWZ9yWSbjuTnJ2Mf9lHtZsnw+cXI2C95+WW1/7St7N3Nqx9HdnWK3+9noTL7Tm8NGgrWb2tbRwvDgsdtxAzs7hwcprT8s7Hr8beZMbxZ0WifKHFPTbgw+Gw2Zt0x3D5PBcZwkGOj7shA0dfO+j+52+VGpxJdzOVqtFp/Eu/4EeKbV4jawojUXEK8Qk4FPIy09Z7NZKu02FwF7fh47LhFSpm2n6woht+2kvCmdhiCgXa/La6mUEH0ToDABy1ZLDibOrtPtipKp3WamXOb11VWecByWgoCP42OLgH/UbpO5fZvzwPUrV3rqg3qgwU/jZDtkIoeoWOTsWI5L6Q5TuoR735e5d3JSjimbXR80NedmG6NS15a6+WonZDrn0OhGvHo2S8pWJ2oO2um43st1+rj7yl7mmxFGgGM4djaa35luTSYzXy7Dxx/LfB7jTeAhYj56HUks1bE4O3OGBXuC3IXzrJFixcnTmblM1LV5mYhvXilSDy2KRZmLv3u7SaMbsdoM8ONbiCmTPCnz2E5x7MbNALCt5F4pZQMfaq2f3e59G9DRWneUUiil0lrrG0qpZ/Z3mKcAA5ZiDzP2Rdj6F2tm4dtXg1pUbbKFPKVAUXQ9itM26EhM9Go1yaLbNmQyqEaD6889R9hs8vGdOwRIHWkm/plEskcLSF/7LtCK20Fdr1aTBff9+1JjPzUlP2fOyGQd91cmn5fsviHzZqHZl7Wvt4O9GXvt0lF/L6ZRrm3tu3XTTiXXw57JPzHBhj10Yug/h5mUwg81Xhit+x6ORT37Ntjx+NvoTG8c6M1rqVRSG95oyE+1Kj/G4diy5HnzGWOkabp8VKvcWVmhYNtMhyEr1Sq34l1+CtBqsYpkuvOIRHMFmEIyPQUkGPkxcL1Q4NXZWRRAEPCEmT/Hx5Pypn4TT+MJks0m81YuJ8S5VpPPxDL8niN/XNrUa6enVNLuM/ZCuX72LDx4wGyzyTPAUrfL9+JjzQGfAdy+zeuui3XmDEVCqFWhVCOby5O2NXQbpPJTuGlbFsrG68S0a0qnE1NVc34eQ+yncjaTWZtGNyLnivEnEF/rHO9rnYOfVx97XxnCzi8jHBMcl7HTXy/fXz60tiZrxHIZSiWCjz/m7U4HEMPRMYTMzwKvIGT+XWwoXoDJWcLZM4SWTTR9jro7iasjokjjaws3m2E67mhiWm6mbEXd06QdsJV1PIxiDwLHZdwMENsSeq11qJT6RCl1SWt9d4fbvK+UmgD+Z+A3lVIVxLBxhG1QHBs7khr6w8ZAFxZmAdxXq+7aNtdfyFJvdClaIW4Yf6udjiz0TH95U6Pq+9hra/z5fB7lebx55w74PhbwGpK5v4tktnLIgtkDvghDrgD3Vle5ZNtY7bbIqc6cgYUFWVxOTibGVqYmdGzs0Ww9QoTyjqbW8sltI2vfiOyVK/h9Zn+Pw14J136J7E6lnMPsWD7swYbdYLfjBpJzWG6FvLfU4Yf32498D1ud563Gz7AFSLYcfxtN7UwwD9Z7Zhh5/dJSIqE3feFN7/haLZmzTIDSZHEqFVqNBl4UMeF5vBEEpIE/B9yMf4okbTiNRHMjJsfHuTY7y/16ndzSEq9NTyckHERNZPavdaIkMr4l/Qaf2Wwv+519/nn8jz9OTPkcJ6mhT6Vk+0Y2b5QHUSTvMQssxwHfJ7W0xIVWiyebTc4CZxEvk3vAbc9j/P59JoFXzp6j3A24W6nCvTqcmaTYsKHbSkqe6nX5KRRk7jXtm/p7EW9D7DeOW+DEXOvw6Lgut0JS9u6uu+2u1cfdV/Yy34wwAhyTsdNfLx+GQubr9aQt3fIyPHgAn33Wm+M0kjiqImWeE4CrFKWZeQjzcP4Mjewkz53Nk7p6jczEGNbnVW7WwXJsPqpr5mZtjL2HKR36otQliCJCX5F39bZlkicZx2LcDBg7McWbBD5USr2JlLwBoLX+E5u9WWv9L8Z//ntKqd9B1h6/tt8DHeFk4MAIm1I9KairNdNuan3dvVk4Z7Oy2DNt6mo1yGZRsaz1ejYrzysF1SovVKu0PI88yeAvI66jJcRkajkMud6MX711S7JRS0tC6M+ckd9aS4R2fFx+jDM+gNa4Cn72UlbkUylwxali4MqNvdRI7oXIbrb424mU09yUlhs+49nhuhENc7DhsODaFik7ouNv/T1sPM9bjZ9hDJCsIyYpKKZISKCZT8zfpo7csmTOqFaTTLxxm9da/q5WhWB6XmKStLbGR/fu0ajVuD41BWtrhI7DP/Y8FPBt5OapEUmmQrLvqfhvkMz8dRBTUCOTj1VE2DYXz57l4rlzSTmQWXCazHoYJj3gTd28mZtMOVMUybxpWfLa5GTiA2A+Y5RHxiQvn5egqam397xEyZBOJ99DGHJ9aUm+N8/jK44DnQ4dRBH1BVBeeMgU8MqZOd4tVWC5jGvFiijfl4VzLpcQ+0ZDjtMQ+3R6PbE3xw7riH3/uDXZrpNyrW9U17y31KHjy3X39Ys5OoF+rNHldtfq0BpTjjDCQaOfzJuyqrU1mfMXFkRq/8UX4sOEKKpSSKnRmb7NPJ/JwOwsxckpyJzBc9LkJ8aZ+spLuFEIRLx0Pk91wWOqmKHh6d68ZNZbz82mqXZCrk7ZLDV8XjuX5emZ9Oh6PCXYCaH/azvd2EaJvtb6u3s9sNOGdqtF6qgP4hBwKJJcs6iEpAY0k5HFpcmibczWm8X42JiQ/Xq9J0m93mjIpBzjTUSCn45/yvFzTzWbTIJM6CY7Z8z0ZmZkIWz6SefzsgA1kletcVMO03aflLc/K7iFfMhbWdn117PbGsndEtmBELUhrEDZ7dgdtuxzP/Yybgwe9z1s/L+3Gj+PG1dH8f25lhKX9G5E0VUSWAuCR7PwYShzRLmcuLIbXw9zjRtSbzLZ9TqsrCSvtdu85/t4AOUyy8AZz+v1gX8fkdFrZBGokYz8GqIW8oCvXbqUkHhD6I2RnVEvmcy7yaoXi8n/UizKXGSO0Uj/++voLatXIuBFkWy/P4tv/m9jimdkp62WHEehIN9Ro5E49hvJvzE5jdUJqt3mehiC67LUbPIOEkitACwv8REy37K4yHylwqXJSZieluMzKihjgFqvy/x65ozsI5uVffY79G+RsT/upSMb0U+4/VDzw/ttxjM2lXbAGzebRJpt5+qd3AO2u69sN98M8zw5wtFjP/eqA0d/vbzpOLK2JveFO3dkDvrww15pVQUp45xCsvKvI3M6+Txcvhwngea4FAKXrzB16RyuH3c2sW2mJjNMNCwa8dqqmLZoeiFv3GwSaE3aVqQU3Cx7KAUP6gFPz6QfPe5TgKEeNweEnfSh/65S6jLwlNb6t5RSOWS9sdl79yLRH4HTQ+gPPZLfv4AzkkvT415rMVTyfSHdJmPfbMrz/e2TzOMHD3g9CPhx3y7KyET9DlILeh1koVouy+er1aSe3pD7TEb+rtVkgWyc8Q02LjT7W131Ze29paUdfQ1eGFFuycJ7t66nu13c7ieTXe9K9nc651BqBpRb4b7r9weJF8/szBxwGLPP/djpuNkM213Dm/3fW42f7cbVbr6/fROC/nr4KMJFM52KianVd4s0veCNkV2jIWTW92U+aTaTecVsc21NyGr8uvZ9fhyGvbYxWWTOeIhI4UCk5yDzSoD0g/8xQuqvxc9NubM8OZ0mk07LYtBO2hX15ruNRN504DCO9WYhalkJgTfH3v9ZQ/4Br1JJ9tGf1Tfzqu/LPGfM8Iwc3xB7E8ww7vyxmz2TkzIPdjo9lcNcOs3L3S4ZpLb+fvx9XQB+AvxBt8svhiGZhQUJ0E5MyPGvrcnc2hco6KmljFmf+b9gU2J/EjPOhnB7YdS77mxLEWjNZMbZdq7eb4Bjq/nmUK/zEY4l9nOvOjAYdZMpUTIlU54nQdsvvpB56MYNtO9TR2rlPwM6yDz2mtnWxARcuACzs3jFMd5tWiyce5qCb/Mznge21VNMuUrxzSv2utKg377Z5O6aRzZl0Q00eVcRoXlmKk3L18deXbRXDOW4OWA8ltArpf4N4BeRoNKTwHnglxBF4GbYlUR/BMHUzMyh19Af1Q3yyNyuTdbeTMDptCzSjSlUNisLPiOZMpl001oqlYJiEavV4vrqKtRqdIHfQgxN2kg91JtIbdRl4E3fZ9z3uW5qaUulZIE5OZkYU9Xrsi9jomeOc4Mb/sasfeGFF6i99da2/7YXRvzOrSY3yxLp3a3r6W4Xt/tZ/G1sIfXeUmcdeT6qMdsfBS+48n1sh2GX5+9k3GwFcw5Ma5x+07DN/29n0/Gz3bja6fe358CJIXD95Ntkmk1deRgmLeVaLSGhjYa81u0mrvS+n0jTWy1R5bRavFmrYQGvu26vf/yPkDKdAKmFPxcfTheZOzrIDfS6ZfH/iyKWgJ87fx6rWqPR6ELqDNMTecg6FC9MgBP3iU+lEgJu6tXzeVksmox7/wLUyOyDICHnpiTJfAcG5vOOQ+HLX6b24x8n32EQCAkHeU82m3yPqdR6dUOhIKS925XfcavRHpFvt+VYcjmR01cqnK1WodvlXKfDPcQvIIcQ+hzw/soK14tF2dfiohyDKXGq1RIVVrks8+7ERELscznZ3xbE/rh0ZdgtXNvi6xdzLDZCprIWP37Yfuxc/bgg3lZzsnnt0quv0nz77Udeu1cNaHjRYwMKwx4gHeHgsJ971YHAlFL1m9+trsrv+/eTevnYZf1HSMA2jSR+MkhbZACefFLmovPnIZejPjHDgp5lyomotgPqnmZ6Ip0EaXm0NCiMNDlXFG+2BeeKLp+XPSqdkMkhK1s8TAzduDkE7ERy/5eQpOMPAbTWnymlzmzz/h1L9Ec4OpzqG6RSSU2l68qi0yzQs9kkm9Rsyk+1Ks8HgUzcJrtz4QLplRV+Pq6ZfRNYRKSwFmKgZyGZtvvAmUpFDExMxn5pSbL13a4sNo0EP52WRenExHpVgcmqGRgX7ceg3o2otkOseJG+F4K5m8XtfrJb/S2kJjM2lXbYy9If1Zj1wqgXBc+5CXHd7vs4aZJdA3MOap2QlVbIbM5hLGP1zsVu/++txtVOt7OrwMlG4m7ayxnJOiTBO60lyNZqJaZ2pgzHPO7vL7y4KPNKq8Wb8X5uI9d/FJN5kLrJGUQ+X0HaYoJEvs/Hf1+amYFUij8WRSzbNtbUFHOz52nUIrljdz0unSnguimZK8bG5LgKBSHxjpPUv5v/2wQzzd9mDhsff7Ssx2T7++cWrRMjUUPSjVool0tM/0xtvJHrm4CH2Z7ZfyYjBN4EVU3QcmwsUUbNzPRKoC4sLzPbbJJOpcD3uQh8Pz60N+t1Jut1nooJure0RB2H4vQErukyUCjIwnllRcj99LTU2Btin+rTx20jxT+O6CfcQM/Ucjc19LD5tbrdnNz/2tee95jo64hhXmt0I0qxcqzgWoO5zkcY4aCw0fyu3U4y8198IWT+7t1eieabiNdSGqmbv4AQ+lQ+L4HFmRnpkJTLwVNPUSwUGfu0TMVTFDMOxfHcOjK/EcW0RSG+Zqaykvho+ZqrUy4vz2VGPehPGXZC6Ltaa0/FZEAp5UBPMfgIRnXze0MYHG5+fnSDjGFqTM2Csz9TNDUlC77xcXmuVEpq8Y2kXmuZlNttvry6Co0G/3/2/jxIkjRN78N+7h7ucXpERkZedZ9dXd3VR3X3dO3cs7OzxLE8ABEgZQvKSJA0I2mUKFLAHyJEo8lEyUgdJskgygTISBgOGkgujKKExSGIC8zu7MwOZnqmj+m7677zjMyI8Dj91B9vfOGeUZlZWZVXZFY8ZmkZGRnh5+ff9z7v8bz3EUM+QCZxC2kz9Zh+Or4Si8pkxEBeXY371q+sCJGv18WYVRGmbDYm9krdHwg7nSdbaA3BTuuUsgbVjhhO+6F6upPo1mTOoJQxuNnPKFBR+oMas04vHHjB227IdC61LaI6yim7YafzXN9zemHfCA+pdQJ0NHQ9dnBsdN7P44jZ7vXbkvirbJZkpouq31bvGYY415RDr1qV171eXJqj/qei0Z0OrK7y/uoqAZIifwJJizeQNpdZJGsnmcfhIG3kysicMAlcME0+9DxqwMulEq/OzcmHy2XsKMJWXTBSJvgBGFmYSjE5nYdin4yqjJ5k2yQVQVLp9Mm0+iR0PU61T143FXVPkttUilB9flisU82jEGcu9Hpx1F5FslTGk2qDp0T4Op04M0qVB3iezI+ZDOTzpDsdMZijiJKm4XseK8hcextYa7e52m7zERqQgbUaV6dKWOWy3OtWK87CWlwUQ1wRe3Ud1TVTWRpJx8UhRPLZy5h9h24noNoJuDSVptkL6fpS4vQ82GpOTv6vUWtjbPC/clb2+8ZsllOl1PM952McaTzvWrXrSNpevi9rRacj88rNm5IR9Omn4qBEAjsdZK7/NkLqAbHnTp4UIj8xIXbfuXMi6Bz4fOtcv7d8MfvM6yQwsjbHfmNkxs0+Yjuz+I80TftfAVlN0/4Z4N8F/t5mH9Y0Ten3gIxlE2hFUVTc6cEeZaxVq0zs4/4OaoEc2To4VReaTAvtdOT9YjGuc1cq1q1WrNbcf880Ta71evzq/n0KwD+PGPj/CHkgXOAPkFTRDNDtdjnX7VJZWkJPp+H06bjtUzYrRH96Oo7eK4IPg8Wl+dVX8Tkk04eH1Ju/fy7Pm7Pbq/8+CAyPCxWlr+RSNHvx/w5izCa94FO5FL9xfnuZAaOcstv8/PPn+p6d1jF0ja4fkjZ0On6IH+hkUjHhGT7vzYz+p80F27l+TxB/XYuJrTLAFJlXZLfVkmdM1XKrFmuuGzvr1P8UuW82xWDTNOh0eAw8Qp7rHvAVQuIhroEHKbu5h2ToWMC3gEI6jaWygDIZfjOTwUunMVWmQFJ1vl8fb1kWV18q4oQGdqUo10s5gV1XSHY6LXNAv8XcgJwm2+NtlOWTzPRJRutN8wlC2/zii/UlQMNQEXi1HUXuVa09DLqRDEi+Ein1fbkmylna7co5KMLfbMo83G7j1uvMrqzwCfA6Up+6CnwEBEQ8psMpwKm3qaj5VNX2q79BImnVakzss1k5hmFin7yGhwjq2SukdeYbHildY7qQotoJqLb9HafkZlIaugZrXf+JCHtyvvZ++StOJ8qUkv8rpPUnyPzw3DDqDtIx9g7Pu1btGpLOX5D5bGlp0KmEL7+U+er6dQhDAsTJ+BEinnyWBJk/flwI/IkTYs+dOSORepW9ZBhYGZPKFlH5YQyvk6Nqc+w3DnzcHAC2M2r+Q+DfRMrW/m3gH0ZR9F9s9uEoimz1WpOw/p8Cvr7D4zzymJyeJnz6x3YNB7FAblSHPJILs66LYZfNxsqlKk3fMOKad1U7paLrzSa02/xLqRRau43p+9BoMOW6VBHD30OidFkkgv8roAl8s9dj5sYNMYanp8XALBaFzBeLss+JCdn/zIwcm2FgX7yI88UXMQFQhvSQiJ5l6HsqLrcTR81GEdzJnEE5a9DshQPyflBG3VE0Ju033sD5+ONn/p5l6PzgfJ4f3oauH1Ltl3L89EF70+d5I0fMbpZPWLpGxQJ8b71TS5GxfgvKdeTc8ySS0mzK5zsd3GYTXddJ1eu4vs9H9+/zlmEQBAHqSk0irYbuIanzagEd1hEOgFeRtnOVdBp6PXKFApNKEFMRboBUClNFpVUUXaXSK2E5XccKAipBIOep93U/1LZU5ChJtpMkXtWxqzIDWN8WU0Xph0mr2qa6l08bN8NaH8rJoEoUVOaAStNXqasqaq/ON52W91dXcZ0mjh9hz+Sx3B7u8jIfNXWwDF53V3jDgI+DgEf9657rH8pDwPbamB78vNXi+MoKx/J5Jufm1rfUKxYlYr+6KtlWk5NyfKp93yEm9klNkiiKMA2ddC947pTc4fT9nz5o44cRhi6p+xu1slttB8x+7Sre55+s29brMxm8IMI0tCf2sdHcMMoO0jHWYzcDN8+7Vu0KkllPygG5tCRz04MHkl5/966818f7iHOxhQievgNxpuWxYzGpP38+LuVUAaV0GjeMcNr+M7UVVpo22ymdeVFwoOPmgLAdQv/vRVH0l4EBidc07d/vv7cloiiKgP+Ppmn/a8QxMMYm0HV9Xwk97G8E8XnqkEcCKpqk6kNVxK9clr8nJoTct1piiBaLTFQqQiCqVchmudZvabXsOJSBpDRQE0nL/QLx6JquS/DoEcVHj7g2NQWzs7JPx4nVm7tdWQiKRenupvpOK6NeLT7qf8rI3qN60K36jG9nUd9MSE0JN80VYqPzoIy6o2ZMasOp18+AvGXwx18q8KDu8/Fi56mCVhs5RLbT53vL8aPquBM914GYuLbb4ohTKfKqX7mqeVfp3KrG23H42w8fcgb4DeRZfAAQBIOe6BnEUFtlfZuXx4i43bv0uy0qwjc9DaZJqlDgmmojp2rZ1byiyLtpitMul4uf4aRifhTJ+0qlPopiVXt13sluHhATUGUwKiKfJOnJOcFIntXG2Pa4SZJedWyKGKtMCOXEiCK5B/36+OQ8607P8Mt2hl7QIN9yuFo0cU6fh6gqJQfVAq20y5WOzI93kNKG8/3fdxCnqde/T41Wi3/v8eO4y0g2G2c4FIvSN3p5We5duSzO2mJxfVeAQ0Tsh7OdGt3gqentm2F4nn99JkOzF5JO6fR8Sd3PW09+75OlLkFH4/O7Lb55KofTC/lgvkujG+C4AVP51DoHfzKrYBQ7nYyxNXZb62Yna9WOkKyXD0PJ0KrV5P3bt4XQ37sHa2usIfOMhth0ABPANwC9VBISPz0t8/fp02LXKbtSiY5a1jNfu2EtikreGO1g2T7iwMbNAWI7hP5fA4bJ+5/f4D0ANE37FxN/6kirxe7zHNwYRwfPU4c8UlDt78IwblOVNOpUFL3TEYMwnZa/222J/DQaTPejUdcaDVxE7fohIpoCYnRGSLTvAVBYWeHV1VUx8lW9Vasl3uBKRRaYr76S6JJSzId1Na8YxpN1xLtsiG5EyO00216YNovg/vRBm7YbcXvt2Z0EY2wPz9vO0DIkTfb2mr6tEohhh8h2etmvGz+ns1hRIj1cRZ4VmVeZNK2WkMXhv1stSdV2XX72ySe8NjvLZBhCs0nU6XAPMcC6wD9AnsHjiBp9pv8DQhJrSHT+e4jokaov04pFeUaVyJplybEpw0IR93Q6TgFPp2OiaBhyrCqSnozkq9ZxqnRgOBoPMfFXUSWI+72r17D/RDS5X+WIUMfb68l7qrwgCOS9ftaE0+hS0zOUpzMstCZYnYiYdFYgnya0MuiTk9hmF2ttjaulCbi3hORAyX2yEHJfQxwxE8B7nQ5XXRer0ZB5s16XCJrqfDIxAY8fy7x67JjM4cMRe5X1cAiIfTLbaaP09u1ieJ73gohqO6Dre2RSUnYzPD+r72RSGs1eyA9vt2i5IQ8aHrmUTssLOWZrtN24vZad1jENjS+Wu+ia9kSnkzFGG0dCnylZLx8EkompyrPu3hUyf/s2QafD+0j5VR6ZXywkA/NlIKvS62dnhdCfOxe3GQWZm9U6gQhWrnXWlxpude3UtU6ndHkODXPdszTGi4VNCb2mab8N/DngnKZpv5v4lypX2wz/fOK1j4j9/qkdHOMLgerSEqWDPog9xPPWIY8cdD02zFUdqCIWSvFZKTU3GrHCcq8nBmKziZvO8NFyA+XnqvQ3vYY8kDnEAG0C74UhU80mlZs3KZlmrIoahrC8TKNWkwWiXo+jSdmsHJtqr6LSuVQ6/i5H7TciZ88SZdkqgpv8/mRu+06CMbZG48MPn6ud4bDBvp1ShI2cMFt+N4pwOj6djk/FCKnXfZxaQCVvxduyNKxeK47AK/V1VQ/faKzXwWi3wXH4aGGBBSCzuMg1hJCvIUbYCSQSn0yf7yLP5DXgQ0QH4xRwBWQe6PW4DpyYnZUojHL8KQJeKMhv1YpNqb+r2nSIBeUMQwimMvaSz+jw86q+r0ilSl9XJH8jwr8LaHz44fN/eThqn8wUUOKDINeqX4tvZ7Jkq1Vu1lrgBdzwcvza+fNcPRPg3H+E7XWwIsmMsrpdrto2TrONvbrC17od9H6Hgb+HOGEA7gNfBgGXgWsrK3iGganqYZWGSS4nDpeHD6XOfnZWiH4+vzmxHzFF/ORztxslQ8PzvGloVPIGGcOk29/XJ0vddfOz+s4//f/9bNDzPmfqBGFERISmQaMbUEgb63Q43CAkCCFrabS9pxObo4bD7Ljeba2bHc05z4pkvbymyfpSrcrveh1u3ICHD3Hv3uUjJCJfRWy2CfqixyDz/OysBF6OH4dTp0QILzk3KzLfnwPdIORXi12q7YBqW8pinnbt1LVu9kIyKZ1uEG7ZLeJFwr6OmxHBVhH6nyKCvVPA/znxvgODksKN8F9GUfRHyTc0TfsWog8xxiYoFI+2ZuCRq0NWqtHJ+ioVXVLGeT4/iAxSr8vk7jg488vQXYTWGoQ+F3SfSujyE6ABfKe/ixpC6leQ2t1f8zy0+XkxMPupW9lCgc7jx4MU/EHNvVJtzmTiVFZ13BtF7XdgjG50b+00W/aT32gbwxHc4e+/OZvZMBNgr8fUYTauNkP27FkefPgljxoyLnRNe2o0ZbN0wK0M7a1SCAffVRFlNR59HzsMKIZdaoFJ3gQ7k8Jtd/jFlyv0Ol0KXp2rU1ksz40Jfb0ej3NVI69aCrXbg5KmMkLM30PayJWHjrkB/Cay+D0A3u6//1YqhV8uk7Jtef6CgLd1HZaWePfMGSH4th23X1MClhDPFUohXrV2U/3jYX3buGT9e98B5/oBTtvFNkKstBU769RctA9R4uzZs3T6/ZV3hKSDQl0XWB+1T6Ww8jleuZRi7VaNihXRW3Nwuj6VvEXl4llxBNTrkgWlaVjnzlJptWCmIplS/flXazZZRAzwMjKfPuz/fScIOFutcs2y4raFk5NSoqFaiaqI/cyM/K1qYpPZFSPU6m6j504p2Q/XwW93bttIUbtg6eJ47ZfRbVY65Z84R3j/Nu896nCr2kPXZaxeqki2RhBFAx0OpxcSRbIGtN2QlHbIsvl2iMPeUni3bb1dm3OehqRjVLUtXVmROWF5WUTvHj2CxUU+Jm5LHCJBmZfVdgoFicafOCHzyMWL4qhVDkA1Xw8J3zm9kK4XcWkqTbXl8+Zs5pmeyXEN/Xrs27gZIWxK6KMougfc0zTtN4FOFEWhpmmXgMuIQN5m+M+JbaCt3hsjgXQmw/42rtt/HLU6ZGB9lCapDN3txlE01fqu38fatm0ozsJCFWor2DjQbvE1x2EtilBliD5ifBrAIvALpH5FjyIhKmtrmJ0OnSCQ7Xe7QiocJ47W27YsHNmskPtkLW1SAVv1uVfvPyOG7+1mSvXP0st++PvAOs9/JqWta8m0F31XD7txtSmKE/yj6w6rnYAggomM8dR2hs+TSvnEd7oBFSUHr5To4Ykos2Wm+OZxC6fWxI48rJuPqTo99GqHgtcDp4VTdamEblwH3+nw3p07QCJSgiRgf4oYXjqsy4RSisQVJNLSJI7QH9N1jk1MyDM0OQm9Hildj1PqczlSmQzXzp+X95KZO8m0eaXgrmrok4aciubDk5F735fzSqVwPZ8f32vR8jWyWZPvnX2+tOmdwiyX2fVmQMmsg+GovecxaUUUS1ka3YD8TBr7RBpazbjWfmpKDOb+nDgQNJ2YEKfO4iLGjRs4iKPmPJIi+zlQR9rwLAEPXJeTrkvTMLD786FbLOGs1rEnililRI39zIxkgShir+bRESH2w8/dajvANEJ0DX5yrz2IlAODfvTbbSeZfOaHCf5mpVOvXizy+eMOr06nqXcDXsoYrHUCLk+l+XLFpbzOSbv9bL6j6Gw9Cinru2nr7cmcMwyVzaiCM/0ySTxP6uTv3BEBvEYDkLUk6v9Mk1hvSiWZG44dEwX7s2fjlPokmd9AryQZbS/nDCZzT9c0gfXXeiMNixcV+zJuRgzbqaH/Q+A7mqaVgf8B4RX/Y+BfSX5I07RvAN8EpjVN+wuJfxVZryE0xhhHD0liD+KlDQKZvFXUPpuFbher3eaq77NaPgn6WWitwtISmXqdY4uL0G7zThjyR0jt7tuIkF4X+PvAHBJZioC3bt8WNX0VoZ+djdPum00xMmdmhHD0lfHJ52NhLVVzq449Se53aJBupFS/k+9P5oyBAalr8Plyj+VWwHROetbXuwHlrLGrpPsoGFcbwXFDekHETEEE7d49meXNua0jAs+TSmmbkE9FNFoSWbZ1C/yhcQfyWqU9uy44Dla7TUXXBy3l7Hod41EDWi6EHewJCzptqFZ51G6zhkRNbCT6nkeUhhVUNCVA2scpccqXEZI/A/z3wCsAly7FGhTptDw/09Py7KgsF/UcKWV6lUKpjEJNiyPP2ez6evbhumulzZHsVKH2r2k4bZ9mZFLKH61xuA7DUfv+tbKiiO+e0HC6AXbOlDFq9R2nSiPB92Weq1RiHZN2W+5HLsf3Z2a4f/06F00TVlY45brMI+UWE0i/6M8QYateEHCy0RCBw1odSIFV5OpLx7DsRMTessSRUCrFztMRIfbJZzVjSh162w1ZbPq4gZQy9fwIXYNKLrWurOlZCPLTCP6Duk/Tlehh240wdY1y1pAe9DmDkyWT+w1v3ZzyLKU8R9HZut159ig6Mw4ESZV515UU+1ZL7LebN+GLL4TU9+Ehjl8LCbqcBXnGp6bi/vLnz4stprKP1JqRdOAO4chlsY6x79gOodeiKGprmvZvAv+PKIr+j5qmfbTB5yykS0MKsakUGsCf3fGRHnE0arVBu50xDjGSSshKxVlF6Hq9gYFJvsDdG6tQXeJ+KsfViy9J+nCtBqurGPfu8d1abbDZd4AfI9GkFmKAtgB8nzeBtKodrtVkf8eOiVNhcjJWkC4UxOj1PFlcVDp+UgtAHbcqIUiqOz8jhtPBVIr88EK1mWGy2QKXSUX817+qDaLLKy2dlKE9VybA07Db9YCjgt6tm6QMuScFy+DV6fQzp9xu+HlFYvqRd0vT+O7JtHwnmxJhO5CxGgRCxtpteTZUVosStOsTe9UOEj/gdLUGrsukHmIttXCR1PhF5JmYThxKksyDEPcfIx5mgLdVbTtAqYRdLPKvqWdWOcCShH34fWWgqRTNZB17X7V4EJlRBF850dSPgiL7mxh7ozIO2zdv7s+O1LzTd/xYmTSVDE929CgWZV5Tqfe9nsx/Z87EqbKNBhnT5NLXvibjam4Olpe5troKrRa3gC+RTI4c4ii9hRg0p4m4jsclt4pzo0Mln5bvVypxW1PVfUS1Fh0BYp98Vr0g4ucPO6RTOm4Q9cl1yGRWsplUWdMH810M/dki9hvtt5LTB/oca21Rsv/4vc8G4/b1GZGYVNlUG80pG0V4hwU8j6qzdTvz7FF1ZmyEPZ1zkuJ3qpNQryeZPl99JQJ4i4vrvvIhQurL9CPzqizn9Glx+l65sk4HZCCMuoUdlbSBVGnMGDvDvq1VI4RtEfp+9P1fQfrRwwYR9yiKfgT8SNO0v9FP1x/jGaCPQN3dGLuEpJK8MtwVMXBd8H0cX6OWsZk4XaJed3D0LpVsP4qvUrZWV6Vm69EjDOA1JML4AIk+TiHqlL+HRBevApbqte04YtgePy4LTqUihKnREOIwNyf7UnX+Sk07mRoGMcGCLQnHVmi7IT+51yGEJ1qqPM0w2ciwW2gGtP2IlKGjBSF5S2cq9/yZAFvheb3moxw9cYOQ607EdM4gjOA3LxTIW8+e3jeoe0/2flckTKVOex6W51KJAlhrxLWJSsnc8+RzSsROtYBsNuO+5Y0GbrvDR904gS6HtJZLIsvmeBtI6TqXw1Bq5lUttGoTp/QmlKPLsuS9fD5OpVeCmKpUIBlxT6flRznDks9+8jqpmndlRG4ToxK90dPpp39oN5G8TmqMKQ0Q1WlE3ZepKfl7dTUeX3NzEimr1eQnlZL7Ozkpf1erXFha4kKrxReIQNBjJGqvI23v8v1DsQMXQlOE8h48kBrZmRnZnuvGba1sW46lUIgdpcnsrX1a65PkWqXy5kydclbHNHR+cF7GU9MNBlF6NJjJmzsmyKvtgNurLrqmEYQRl4/ZFIveoHOJmuuTx7kVNhLw/Pbp3Eg4ufYCT7smR9WZsRH2ZM4ZFr+rVuM1Z35eIvN37wqxRzK+lMPP6b/+HogjTwnfnTkDly/H83w6HWulbPHMJ1vPGbrGD87nt70ej7E59n2tGgFsh9D/B8BfAv7fURR9pmnaeeD3t/h8W9O0/xMiBKy6/RBF0W/s5ECPOgrF4pGvoX/hMEzsg2BA7G0jRboUUu0G5CfAPjENvX57rbU1ifQUi2KQXr4MCwtM3bwJvR4z/c2/hzzAk4hw3h8i0cd3gV9EEZe6XaLbtykYBub0dBxBmpwUgzSVEuNzZmZ9CrCKRipDVBnQfcGyQXraU6L2ygi7sdKj7UVU+jVhSePjeQyTuYJBLqWx1gnRdI1jtsn3zub2TBDmWesBRz164vRCZi6fo/5oiXo3IIye/h0grjMc7sOdzErxvJhMuW6sMt/rxb3j+yJ1NBqxKr3qG+/7Qup9vx+V93kfSZNP4sstDvMqDHQoyGbj3xMTknKtiLpyUBUKcZlKoRBH2IeJpCLv6rmB9dk4KuKe1NRQ2Mbz8jSMggZJ5tQp3KUD0rdNRu3VXJoUU1TXu1KJ0/E7HRl7ExOSHq/m104nbpXXJ/evLC+D4/D3+vdR1QraiBOVwOdqvS5jy7bF8H/8WNJsKxVxDvV6sQiqMvaLxZg4HEDEfivhLNPQBmVNpayM990myJqmceLlcyy/V31uEur0QuqdAL3/DNW7AV0/Ggkn10FgVDJ29gO7Puck6+V7PXlW220h9I8fS7389evgugP9FdXWaw3JknwFyMzMxF2HrlyR371enPn4lKwrBacX0uyFrHUD2m7ID2/DH3+p8EKN573Aga5VB4SnEvpE5L2gaVohiqLbwP98i6/8beB3gH8O+HeQPvbLu3GwY4xxKLEBsbcsk2+9MoXT9rD1AEvXwOsr05dKsrhUq7EAV6kkhmO9Lqlga2tcA4rlMo21tUE/7DXgd2HgHJoHJoOA7ywsyHdVz3r1o9LLVJuViQlZgBqN9SJeKsVYkZVh1fwNyIoywlK6hq5B0w2Zya9XLH4ewyRvGfy5Nyd42PDJmRqTWWOk1F1HPXpip3UC4ymGe7KX+TABUSTe82Q8u658pt2Oyzn6ZJxUSkiU4wiJUin2tdpgHH3++DFTqRQzrivb6uMD2NLJuQwD5fpZ4DQwpyKwqtRFdXuwrDiKruqdVYaKSp0fJufJVEmlOaHOX/0YxnpBSQXLYow9gnIowsA4dyOkxt7sl/QoMdJcLnYStdtx1pLrxpH8TEbmvakpqNU4+9VXpJGUWgcZYw3EafqPgFeBi44j+5+YkCyqO3ck5XZuLnZG9XoyzkslScW17Vj4bx8i9sMp6iqVVwlnqSyib54SZ6gqi1Kf38lcOpkzOD9pUe8GlDIG2X4rrecloXZap5Q1qHbkfJSA5yg4uQ4Kw6ULo4BRzkwDYhHWVCpuK+y6Yhs9egS/+hXtx4/JIiKpt5E5IECyICMkgHJxZkZ6yh87JmQ+m5VtFwoxkd9m9yA7rWPoUgaTs3T8aNxHfoznw1MJvaZprwN/CxnHmqZpy8C/GkXRZ5t8pRJF0V/TNO3fTzgDfrF7h3w00Wm1MPdxfyM/8R5FDBF7Kwqp5E3Q0zEpMM1YkV4p49frQoRyOXl/akoWo3v3cPt19teA9xFP8jQSoVxEFqAaEs2n0+GaavH14IEsRhMTcXRpYUHatOTzErXv99mm01kv+KUIvqaJQZ1MyYfBIpY0wnImnChaTygWP08qsRuEdP2Ic2V5YkYtGj7q0RPL0DnWXeXbZ3JyzXVtvdq8inomI9IqO0P9r9uNo/EqQqqipNWq/IQhbreL47SxnTpW2N+GEhzqdKg2m3yFiAzd3ebx20irlSUgru1KMXl8Ro61VJLf6bQ4rdLp2FGmhCGTDjZ1nurZG27lqAhYst2jQrIV3QsAd2HhoA9hPQxDMmIetul0ffKmxndOZbDUmFX3bnJSfhoNIdtRFBP7Wi3uPV8o8PrkpMy51SrTKysQBJjIfOogafgPEWdTtlZDQyL5v7ayArduiaE/Oxtrl6gyEyWsWCyuL2/aA2K/UYr6989tXur0zVO5DdPhnxeWofP9c/G83p1fWOc8eFa7Q23vzdnRI7F7hc1stI0ywEYBe5WZtmtzjsou1HV55lVveceRiPz169TX1vgnwElgARFLtYHfQISIKZWEtJ89K8J3Fy/G618uF0fkh0VPt4DVL3/54W3wo2jcR36XMHJr1T5gOyn3/0/gL0RR9PsAmqb9OvBfIIr2G6Fv3TOvado/i5SkTe7sMI8+ut3uvhH6UU8JPvIYjtgn63GDYH1ve6Ver+qKVZSzn5Lvep5E3a9f5512e1Dn8iPk4Z4AeshDqOB6Hg5QePCA9MKCOAjyeflt23GtvWWJEVwuDwgYURSnI6s2eJYVL2oJ9XJLY1tG2LNEWYbH7uszT/am323P9rM6v7YrBngg6BPyaGWZSioEL2HkKANEvVYkXo1J141T5xWp9bw40qH0G5pN8DzcbpePHtSg2QVL46rlYvXb/kTIuLwFnNjgMFvIQvI2ohWxDv1e77OmSTmfx7Fy2OkU1kQpdnplszJus9kno+UqIq/eT0bbAdJpXE3HcSPsVBTfN1Ubn9rOsnk04a6uPv1D+wynF9L2oJSXlmhOoFOxEtkkSaFG1UO+2xVDPghkLp2YiA38fF7GUbksxHxxkTPLy5wJQ95DxBddYnHSJtL28L3+tcndvMlrd+7AqVNSZ++6sX5KqyXbnpqKHU+KBOwisd8oRX2rUqeFZrDr82iyhv8PPnrA6mp7R/aGZejM2SMwh+4DtrLRVtsBa53nawe7l9gsM22nwaMdzznJenkVjQ9D+a3q5R8/hrU1biJk5SESGKki2V8aiDOuUpFn+pVXJGOy3Y5LFNVz/BzPb94y+OMvFcZBtl3EKK5Ve43tWCZ5ReYBoij6A03TtnIJ/u80TSsBfxHpP18E/hc7O8yjj3Klsm819KOeEvzCYDNir9LbFbFXyviTk5Im2u0KuW42KVy4QCOVGgg/ZfqqrFkkglkh7rvcpB+p7+MRcMLzuLa4KPtbWYmNzXJZjFzXhaUlcSokBaB0XY5Dkfpkzb0igICl68zljfh8d4jhsQtP9j7eTTyv88sydOz0AWcPJOuLFaIIN4zIXXmD7scfYSVTyfuCjQP0erESvep6oNTnlYid6t7QH4+02ziuy+ePH5PWTQj7/t0ufNTd/FCbxMrBx4kdUFMQt4pTpScqdT6XwyoWqSgVeqUwnmwdp5wTyd7wisirSL0Ss+s7o9wg5Md3HFpeRDaT4nvnxvWMCoVXX6Xx/vsHfRjrSMITGTE5E9T98v14Lk2O9WT3EeXAVKUavh9H8HI5mfuOH4eHDzm+vMxPkXn1OBKx9xGRrGXE2KmA7HN5WdJ4Z2ZiYp9OixOs1ZJxPT0tET81ZpMdEXYwX26Wop78f/KazRUMbq/tzTzq9ELOv3uV4Ec/33V746hmGm5Fjj+Y77LU8llpB1yYtPYlmrud62yndTKmxlLTo5SV8bYbwaMdzTmqdMwwZH1qtWJSv7AAX34p0fk+AsTRfAzJuvnTIN+dmREb69QpeP11cRSrrB7Lip3iO3DGvcjlI3uBUVmr9hPbIfS3NU37j4H/qv/3/wQpLXkCmqYZwEtRFP19oA58f1eOcoxdxainBL9w2Cpir0iJivDMzcXtvHI58RIvLMS1y+UydLsc++ormJ/ndWRhWkZS7wOEOGmIIXobeD0MccOQr2o13ux2STcasdp+sSgEX9dlMbQsIVVTU3JsSvTMdeNok4rgJ8mkIlPDrbqeEcNjN9mbfi+Mup04v/bVcZYk4irSB+sjz1EkZPV+m8unu9z4coVvns5hpfqER4nZdbsxue924xTFVkvunyLv3a78qHvaJ0ZfNJtCdEJvW1lHl4lF7q4ClmVx0jRl7Cmik04L8SkUYjKmxOyUw2sYydZyKmVeGV9JJfpkZDSVwnF9mqExUj3fjypxeR5sRBK+dzY/qBdfh6Fa+3ViehBnXGSzcXaJ7wvRDoI4JbcvpHjy1CnOfvABs8AZpORjEVHCbyFO0nngvaQexKNH4jSdnhbHwMRE3Naq3RYnVLkcaz0oh1NSePIZ8bQU9eFSJ4DLlTRtL+RkydzVMbYtzY4t8LTU86OoDr6ZjbbaDrhXc0lpGn4Y8erU09uN7hTPTMr7w9ULIhaaAU03pJxJ7f9cqp55pQmknu+VFbGZPvmEcGmJXya+EiK9t7+h3igU5HmdmYFXX4WXX467nNh2PL9ss15+I6jxPSxYOcYYz4rtEPp/A/jfAP89kin54/57TyCKokDTtN8G/q+7doQvCHxVh7wPOIgWSGODdBvQNNwwwulF2FaIpci8IvaqDYdKdy+VCJSYk4ra9/swn3r9dU5dvoxbb/DRB58CPU72d6Pa3h1DjNBPgC595cpuV3qrhqGkovXVwSmXZXE7cUIi9mtrcTnA5GTcYqzbFYNUHbd6nSScqm93knhuczHcbOzulZGwUyGnXXWcDYvUJV8rBwqsbzmo9evj+/WDTsvDrbcJ66u0Oh7OqiOp94qcq4iGai3X68UOJNUfvh9FfO/GDQDeAm4Qpx5D3Os9iS5SDvJ2/+/B4pNKcU2J1anaYjW2slkhP7q+XsxO9YJP1vYrh5Ii7ioqn7xeG7WPG8KoOTxHqUQqaLUOZL9JbOQos9M6nyx1N79GyqllGLHWQzJbw3XjcZfswmDbMv81m4P6+2vf+Y48F9UqZxYXOdNsDnbzHlJ7u4BE+tL9n7/j+3xtfp7zitjPzcmcWizGZSsqYq8cVmq+fw5ir9bbrWrNh3vGb1Zvv1NYhs4p08NQmh1P2W7SVvCCiB/ebg1qi1W9uNML8YLoSKqDD4sVbnTNNE3D0ME09l67Y7sp/k4vpOtFzORN1jq+3Lcwotp3tD1vbfhzzTnK3ggCWbtcV3RdVlfFrrl9G9bW+CXynC4jGTePEHHVKmDbRaxjcxKVf/VV0RxSgQvbjueUHWTTJJ1S1XZAJW880dp3jOfDKKxV+41NCb2maRlEpf4iYvP/xSiKtsM6/0jTtP87onQ/uKJRFH2ww2M90qitrjKxj/vbz/SeUTJIRxlPXKczOWmRpCL2KnU0kTLcWluTBUe1YlLqy/06MSfS4eW3QfPgy+tcoME54AtEOM9HIvc+rI+mttvyW9VOK4NzaSn2WPf7jFOtiiE8NRUbzCpFW6Xn99v1oc4HQNdFnboXYpthPCaeskDu59jdifPrub67keiagoooJ7Md1LVSJEVd9+T/lRhQr4ftukx0atz+3f+B6cjFTheg05b7rdLrg0Dut7r3njdQp488D61WI0IIugl8mDj86tDp1JGMkAZS+nEN4oj5xISMC4ij78WiEBnVW1wRnL7gkNtzcTo+dhiJw0sZV4rMJ69hMgr7DBGUUen5rjBKJVKtL7dqGLg/2Mjhsu1rtIFC/ro5NelEzeeh18Ot1XEiE3t6Bivoizoqsj81Jan1/ZZ3GaRXddKh5SLz6wowE4bkV1bQqlXJdDp1Soi9bctz1mzGxF6l8yqn6DaJ/bOut0+rt98N9K5/NVDZ3+yYVZRSifNlTI2WG/Kg7lGw4gi1ctxkTA1dO1rq4E+7d4PuAZ2AUtZgMre3GQluEPKrxS7VdkC1HXB+ixT/5HNp6Bp+FFHMGHTckJO2yaszz5dN8ExzTjIrUOkNKeHLx49FtPLLL9eVoUVIT/nbiJ5LBNyiCGaFqxdfwrr6ptg33a6sUUkR1B2k2LtByIO6T9MNSad0ur5HxjBpu4d/HI8CRmGt2m9sFaH/m4gt9mPgTyKtF/+DbWzzav/3f5J4L0KEIsfYBJWZmSd6LR8VjJJBOsp44jq5/d7tw6n4irilUhTffZfGL38phmUUiaGpWs4FAXY6A24dmi144w3sCQPr5g2Cx4+5jxif95CWLBP947iL1N8DvO15pDxvfd3n6qqQ+ExGDM/ZWdnfo0dxqzDbjtuWpVKxIrpKgU6ncXsuP77bklrlrBkbL6r2W2Gbi+ZeZYHsxIGw6XeTRH34PXW+iryr/ynSrogIrH8NMYFXaYGdjrxuNqVdou/zTtQge/YYnQf3sB7X44ikShNWvbRVyn2txk2kg4JPvGhk+r8jBlmWNPr/fwNJXfxIDoopIt5Q6fHptIydQkHGiuobrtLo8/lBn3fXl+fA1nRA46cr0CJHNtD59oWSlAsoUqbU6VXk5IjUM45SxkDxrbdofPjh0z+4h9jI4WKnn0NLQ40TlZWSLG8yTfB9XDR+2g3ptrpM1Ju8PaVhqWwlFcVXWUqNBq8vLvKLel1KRxK7eg+J/i0D00HAW4BZrYojtlyWzKfJSdmu54ljtlSS9/J5mTOVTslTiP2zrrdPq7ffDWw1bpIkVtMgiCLKmRQLjsdy28cLoNoOmOqT1+S5vX0sg64dHXXw4Xu32g4wjXicD3cP2Gtno4q6X5pKU235vDmb2XCfqkXi5Up68N4nSz2+Wu7S8iLWegGPHZ/fvPDsZRHbnnOSa0CnI89ntyvONtVf/ubNwcfvIw7nEpJZVgEeoHGTSYLyLCvnLnL69avMZU1ZF9X6lczwek4MR+bL2YhMSqcbhEdiHI8CRmGt2m9sRehfjaLodQBN0/4a6/W0NkUUReO6+eeAdoTbHo2SQTrK2PQ6bVZjn1TnVgr5SrG52YRaDcs0uZrN4rR72N0WlufCK68weell7n90G2r3uIAsbBpC5Jf7x+MDP0P6Lk96Hr8A0r0eb6jWXqmUGJ4LC2J4ViqxkF67LcemIq7J/st9ITXHhVYvoJhP47Q9nJZLpWCtXyi3mZo/klkgw9H25PvwpEGePDeVxaDueTLqnIw8Q5x2rqIRyqBR0fW+6jxRBJ6H5fvksxmCxcX1/eGjiPf6rV5eQ5w9IHWFSi9WLRhR/30DScM6jaRyOakUeU1D70fer5oWjmZgl2ysTDoWrlMpxem0RD8KhXh89J1Arm7wkwWXrmeQCQxenc3SSFsUzIg1x2O16TFX0uPslSM6h45UxsAe9Ux/Vgw7XHZ0jZSTdPj5Mk0cX6eJy8RkntVOGqdkUMGVz+RyQrpXVwddFbTJSa7V61Knu7q6LhKYQSIkC8RZLU4YYlerXKtWhdgfPy7O2UIhzpQpFmVuTZYFqLKlDYj9s663u90SruUGPGz45EyN2UJKtrXFuEmS2LWOT0qXY8+YGoauUbDAD+HtY1kmc8bg3DKmhmlo/Mb5/JGpPU7eu4yp8avFLl1v/ZqWLJWotv09rb1Wx9PoBmTMjYlmsmQjiiJMQ2cqb6AhafYaES0v4m7Nfb6yiO3MOaptqsoKVPXy8/PSovf6dXkmE1gAdKT0EMDNZplPz+Kkp1g5dxH/2EnwA9D63X6SzrQdzoPJMgaAN+ayzBWMIzOORwIjslbtJ7Yi9IP0+iiK/O0STk3TZoH/FDgeRdGf1DTtVeAbURT9tR0d6RiHFiNlkI4wnnqdhom9MhaTqdiplJC7QmHQnslaWaGSboOXkYjnagPba3PsygU+ezBDtukwvXqDEgFVJDW0hIg+rSKkPtt/3wW6nQ50OpwEjtu2RO57PVk8lWBesSjRe8cRsqhpQubabUm1R8OLLHKaT3vVpZBNYWcS6fqwvl+4wnAKev9/B5oFkjimJ7IE1L1JInkPk33fk9H3YSIP8n/Pk/vrebEBo8h8IjV+MDaCIP6705F75TiSYXH/flxOEUWsIOQ8C3w6dIoekl7/LqLs/SWiSH9Z1fnmcpLSr4To+hF4K5ulooSF0uk40qgEwDKZuBd8ph/z7wvXOS40NYNSycBpeaDrZI2I66s+oabz86WA37Q18qmjPZ+M9Uc2xvB12XFWhXKOqtKmMMS2QjJ5k7Ue5Aop7JIJWi5uJdpqyVw7NSVpvUoVf2ZGCMTiItTrvOZ5/ASZV3WkLVYWmU8D+lkua2sSsZ+YEGI/OSmvfV+e0VJJSL9S7s/l4jkyYbw+z3q7Wy3hWm7Af/2rGmudEE2HKzMZfvPC1n3SkyS2kNYHteOZlMZP7rflfcsY1It/81SOhw2fW6suP3/YGR0H7i4gee+8IOLnDzsbrmnPUnu90/njciXNB/Mdgijipw/aT+zD6YWsdQJZyoC2F5IxTLp+SDFj0Oh5hFFEwTL2pixC6U8pzRfPi4Xv7t8XMt8vIVQaF3OImOUscArg2DGcTA4vexLn7Cv0UnlOZyMmKwXIZZ9s6boFnna9NypjOFUSx1fe2mCDY4yxTWxF6N/UNK3Rf60B2f7fGhBFUbSR7hHA3wD+OvAf9f++jtTTjwn9FlhZXNzXGvr9xiilsI4ytnWdEsS+8cEH69tzJWtAfV+iOSdOQBDgzs/z0c1lWl6GnJHjteMBkz2d5UKOVqkIvQZ/rPmYqNPhS8/jnWyW9zod6ki0voiQufvIJPAV8LLjgONwrlZjOpcTQtlsCnlTtfWlkkSYVlYk8poy+elSQLflkbcMXjtbZnIiK9kDEGccqIVa1VzDeq9rIjXftrS9zQLZKEVeoX9Mrh/wh4ksge8qw0eVSAzXdm9UL5/cjyLriRr4gSOn241T45UYodqGStn1PCEIiux3OoPSh8bdu9SQe6qu1G1ELBGEwDtIO64c0pv3HeS+Fy2La9ms3Cffjwm6um+qtljVAOt63Bu+XwsPyN8QR+YVmeo7M2wjIm9p1Lsh2UKayVKG102Tqtui5YU8qD9nxOcQYdQyT0alDdCeX5d+1N4yDL57zsBpe9gZA0vvG/O9nozzviNroIQ/MRE7zTIZeQ5WVshVq0z0s18miJ85F3nO/jFC9rPA67WaOAcKBThzJp4/1fOs/la9tdPpWACyPxcd1Hq70Axo+xGGoRGEEattIaLWFuNmIweEIjbfPyfdC3612OXnDztkzH6dfyeg2gm4NJUeqV7su4FkBH6zNU05sJ9We72T50R9d6299bXOpDScbkCzF4IWMZExJHW875xZbQd8MN8RBfnnSCffdM7pZ5wN1kb1HK6tSXDhzh24cQPCkJtIFuIa4oheRERcvwFw+jSUy9gXX8ItnqXYgwld49dfncLKZ54Um93GNdvqem+3jGGMnWFU1qr9xKaEPoqi51XbmIqi6O9omvaX+tvxNU07quXhu4bixMRBH8IYhw2aRu6ll2jfuBETvWFir6K+hoFTOcaiU6TSreNWV+iaaU6/eh7n/jK228Ft5mhcOMFcc5V35ueh1eJaJsN73S6fAK8ji+EDpOb+ESKotwSs+j5/QtPEEG23xcBUivelkpB524bJSZxUlmjNZTJtshIamL02VqMvnqdInmqXpmpZg1BqqXMmltmftpJRKS3ie6ezO4tkbpYi37/Wm2YK9F873YCWr1HKGjTaHk7Hp5I14pr2YSTrdqMobhWnIoSKpPt+XA+oUgqVEaOi8qrLweqqvKfaDLru4Dtfeh4NJDqxQEzWFer99/4kUgt/GyHyReByLif3wjSFkKvXuh5rJlQqMXFX4mOqTl7VJivnhtqOis6rc4bBGLY0je9cTK27p5M5yFk6K23/yAhhbYVR0x/JXbxIO1GHelDYt+uiaViWScUy4xpdEBKtnkHLkjHveTL/maZkJ6kofi4Hx45xbWZG/v/w4WCsLwA3iTVLWsS1jdeaTfjsM3mGZmZEZbtYlPmgVpNnbmYmnjOUPsUO+2HvBHMFg1xKG0ToJ3NSj5+7eJHaV9c3nZ83c0BYho5pCAEqZQyWmh5oUM4aLLV8lps+lfzu1/yPAixDCPFCM2CuIOZ4te1jp/VBVkOzF25Ze70bbVcr+RTVTkC17VPOPnmtu37EVD7FsaIcz7dO58j1j0WcMwazduq51+YN55zhFHvVW77RkDr5u3cl1R55xj4nFqpMA38M6GgaE2fPSjbMlStYx47xrQic0MCeyGOZqVjDJZtiO8Hz7Vzv5L0r5/Ze2PBFxaisVfuJ7bSte1a0NE2rIFlkaJr2dcRWHGMLWOk0/tM/NsYY65Aqldan4idJIkAYipK8C5mMSS6bYkWfIF8qY5eklYudy3AzSqOlO1iaz+TsLFZCvfltx4FGgyu6TjoM0RGFTBept7cQAvhevc7LQKlQEDX0lZW4h/nEhBij9Tq2ZZHvmLTyk+QzPl4bXC3AsguyICeJou/T6rj8wYMenq5RMDW+e6YgpD5puGoalpmiYvL0uvttRNuf+Pww2U8S/H69u21CQfNwGj45U8frebiaHxswyfui0uQtKxaw87z1YnaqZjbZPk5F25tNeU+1KlTteYKAXqfDr1yXN5A0eeWn7iKZFg+RiV9HjB0PqYU3kXpCS9OYyueZsqyYKBgJoyOXk2hkpSIpwOr/hiHkQylzK9Kv2ucpRXsllDisJZB6cjlSgmdiDMrfPzif54e3j44Q1lbIpDR0Dda6/kica6pUOtD9KxyILktSkBTkOU2n1zulZmfjFHmQ9ycmhGykUkLAi0V5bu/cYS4MSSHGkon0sO8iafiK2H+t2URvNkXYa3ZWlPHzedmP48QZMYVC3FYr2bZxH5G3DP7cmxNP1NBrxeJzR4qT97qUNQhCuLnqomuQNYX0Qkx2j0q00w3CgeL/zVWZI5P19CqrYasa+t1ou9rshZyftHhzNrOhvoKd1imk9T75F/JuGXGNvzqu53W4PTHnKAe5IvKeJ6UtjQbcuweffirrI0I8vgCmkTUuj+jDpGdmSJfL8iy9/bY8O1GElclQ6Zd+uX7Aj+63aXvatsesumZrHR9D18iknkzPH5eg7g9GZa3aT+wFof8LwO8CFzRN+yPkWfqz2/mipmkTwH+JPHMR8G9EUfRPE//XgL8M/BYSTPrz43Z4Y4zRh6oBTdRluxH86F6LTi8im9b55rkiXTfANmVhoTLJsVyVGx/fJ5W1uBWkmC7kKQZtbCuNNT1Nql4X0aZaDdf1OOl0+AyPABF6Ok4caVoFKktL3AHOAtcmJ2VxbbcHxN7K57maMlkNHO7X0nzVKJIqFHn3QohlmXHEaXUVN2XyBw987jdD8kZEKqPh9HJUjDDOSkjWkCbFAhWGCfxWrZ82IvvJzw+nxauUP8AKAr4zl2K1l+KzxQ4f3G+RteBbp3NYYRA7XFQqvXJ2KAKv7l+/3/UgSq+MFkXelciditD3RYAaQYBq1NIAPu6/DhAiryPK8wB5dCaQ85hHDJ0/NjGBroTqlMhiFAmBN81Y9DCbFUKhMihURL5UirNE1DhU6fYbidZtQ1xooxTGvGXwG+fzg8jVUTWIlEHvhxGGrvHNU7kje67Piv00ip+oiVVj1jTjOUhpR0SRPJdTU/JcdjryjCvF+tVVeR5U27tmk6mbN3GQ6PwZ5FldRTRLIuCX9Ns9drtCWBYWhNifPBm3u6vXY7V9lfaviL3KjNkn5C2Dl6fWRx17fvTckeLhe73aDmi66/uiq1Z2o1CWsltIRnsXHA8/hNmCwVpb1O/nbDPh7HzyGdhOP/utsN1nbKPP7UlJjBIEVs9YrxeXtywsSFT+yy8HpXo9pCwwQojOu2o7/RR7LlyAixeFzGtaXDZGv6WcE9L0oPwMY1ZlVfzwdgt/SHNgeB45qlllYxwcdp3QR1H0gaZp3wNepl9qu83+9SBk/R9FUfRnNU2zWJ8RCpIN+lL/59eAv9L/fehRX1sb1K+OMcZ20bp+/ck3E8Teabp0ugHFnEm9G9B1Ayp5MyaXmoZZmcSZAr/dJuXU+Plyl9mMRpYib8/oWJkMTE7iLi3z0fV5QCPCZ4IWBWTBnOvveh7xiKeQSLC/uso3TBMtnxeDdGlJoun5PGZxAnoZsg0HUis4QYnKsRkhiH2S6HQD6LQp+T5tLwWlIrYRxqrtqiesIo8bieZtZsxuh7wno/2+HzsQlCGv6r/7QnZW2sLstHGbHSqWQb3m4xQ8KnY2FrRTqfNq+/V6TOA7nbhGPgzjnteDG97ivap0e7/WP98I+EX/307/fhSRSF+IeD4bxO15AFr9GP3XJ3N0DYNcPo9uWWIkqeyIfD5upZXNxqJ1mUwsaJcUtfP9OFqvyP6wKOA2+mgnsVEKo51mELm6vXZ0DPhhqHMvZ1Py7PrRgYsmbTjfHBD2wyjekpgk5xeVhRKG8qwo3QvTFDLfaAjxKBTkmWq35blfXoZSie+sruLeuUMFIfR/iKQGN5EsqPfok3qQZ/T+fZlLp6elzj6fj4l9LieZABMTsRPQNOO2dwcA9+b1HWVUJO/1ZE5S7ps9qTEHRqosZbeQjPY6vQA3jJhveuQtnV8tdrHT+mAeHB6byXGbMbVBB4NnxfAzNkxKk38rxXbY3ZKY1vXrcXq9cmD7flxedvMmfPEFPH7MEiLaBXEXFp0+mdd1eV6OHYNXXpHovFqnVKlK/xx/dL9Doxuw3A4IQyhmtp8d1fUjwgjKmdS6NWujeWQseLp3GKW1ar+w64Re07QM8O8C30Zsyx9rmvZXoyjqPuV7JeC7wJ8HiKLIRbJ6k/hTwN+KoigCfqZp2oSmaceiKJrf5dPYd6Q2SDfdS4wnkqMBI58ncJyN/6lp2DmTbCZFo+2Tt8RIGKSP943RyXzE8ckcdzUDPZ+n1mkxlXJpt9s4UUTl2DFwXRwzA5ShsYJ7a4F0ZGEQodHgSjZHvtPkPSRtu4bUhd4G6WNfq3EFyJfLQv7qdezFReiaMHUMZiaxWxrcbYtxmk7D9DS2ZTGhh4QpnbwW8a18F6tLLAQVBLiej+OG2IWMiFalUutV4jfDsMAexDWyiryr66TIu3pOVRs+1SJHfd/zsI0UOVOn3upgRy521wSvI9t03TjCroTtVLS+3Zb/dTpxlkKjsT7VHriHGCpnw5C7QAcxXiLA7p/ONYQEfIGo+E4NTjQN5MmcnKRbbePkLCppI460nzwphMPov5fPy+9k/3iVXq+ur7ouKhqYdJQoR8tzYqOU0VGrK98rjGK7zy3nmwOAWsf2qnXXtsdaovRngP78hOdJJL1UEgddrSafn5qSZ21tDbtQkAyYRoPUo0cUWi0eAieR57tJnIJ/EdG2oNuVOuHHj+W5nZsTEh9FIgiWzUokv1iMj0M564z1EfS9RqZo872zzq7YHMMRYWDknpPdgDrPB3Wfjxc7mLrGrVWX0yWTrheJAOEmY9PphTR7IaahcavqUu8GlLPGjpyfw86tb57KbepQ2LW5K4owMhkC5eRWhL5alfXyxg2JytdqVIG7iO2RQ4i8yiCkUJBa+bNnhcyrnvKZTCy621/rHS+i2Qup90JcPyKMomfKjnramrXW8XlQ95krGJtevzF2jlFbq/YDe8Ei/xYSKPrP+3//OeC/Av6lp3zvHOKM/uuapr2JlH7++1EUtRKfOYFocik87L+3jtBrmvZvAf8WwPHjx5mengag2Wzi+z4TfQG6Xq9Ho9EY/D8MQ6rVKhMTE5j9es/V1VUymQy5nCQLOI5DGIaU+vUZ3W6XZrPJ1JSYzEEQsLq6SrlcHpD0arVKLpcj2xf8chyHKIooFouDbWQti/R3v0tYKBD2ejQ//ZTCa69JCizgfPwxmRMnMCsSY+vcvi1tnM6eBcBdXsZdXKTw2mtyLp0Ozc8/x37jDbT+uTQ+/JDs2bPoExMsrbl8/osvKKUyfPvdlzE0DXdhAXd1lcKrr8q5tFq0vvyS4ltvDQyWxvvvk7t4cVCf0rp+HSOfJ3PihFzTx4/xGw3yly/LNhyH1vXrFN95Z3B/Gu+/T/7SJQxb6Efryy9JFYukjx+X6/HoEUGrRf7SJQD8ep32zZvxNsKQxocfkr98GSMveQ3Nzz/HmpzEmpNYcffBA8Jej9zFiwB4a2t07t6VcwEiz8P5+GMKr76K3r8vzU8/xZqdxeqPh87duxCGZM+fl21Uq3QfPcJ+4w05jB3cp+yVK/T8iJTbpfvlFxveJ7NcBqB98yZ6Ok3m1CnZRuI+ZU6coHX9+qb3qVgq8affjVj4+EtKE3kKJ45DFNFbXJT79PLLYBj8j16u8//6+7/g0nev4QVgErLwj/+A4++eJa1LX/Pg9h0ylYjKhE1qeZH0wiPCpUVOZCw8z0Pvdrn26CHF6Wn+8e3bNBD6eJc4/e3i2hrvlMtMVSqQzfJrrRZOs86sZmJEGbx0ms7aGsVLlyCKiFIprrLAwqtXSc9M4aUN/Ed3KExPYxUKBJbF+588ohPApZNnOFcyCWs1uisr2K+9BqZJ6Ps0P/ssvk9BgPPJJ2RmZzFLJQhDOvfuQRSRPXFCShXqddy1NXkWgoCw3ab5xRfYJ06gqQ4Dn35K9vRpuddhSPurr9DTaYrlMr9V6bG6VCU1/4jysVOwvCzPwsICxenpgTOlsbpKzrJI9bMNWs0mhueRsSxwHDrA7zsOFvCDfJ7brRZ5pN5W9bIu939/rVBgolKhVauRMgx+vViEu3c5fuw4j7smhTNzmIbBmtOlNJFj7nyG07NljOPHaTx8SP7iRYyJCchkaC4uYh07hnXsGGSzdBcXCT2PXD+q4TUadObnKX7ta2AYRN0uziefUHj5ZfR8HjRt156nP/bds3ilSWxLx793BwuNb1w5jhdA/fECJeoU33zjqfPedp6nUZv3vsd1cm+9QzqlYUTRgc97mRMnaN++vafr03bvU89p8nv/319y6TvvUg3FiP7gD37GP/ubV8mUJ3blPuWjiKn2+1jFCV59+RSnyxbe48dPX58++EC2kc1CFNH84gusfB5rYgJMk+6tW4RLS+SKRYgiPMehc/06xUwGlpf5Qa3G8kcfMd/r8TPfJ4+Qkw7SMjKFiJR+AkLW793jjWqVbKWC/eqrcPIkoWXRvHePwiuvoJ87B7aNc+8emXJZ7pNt03nwYM/vU9BqyT04doypXXyerMR9+tPvRsx/9BkT02UKJ09s+jwdNjuiWKlQCiLm/+BTAuBPfu+i9IV/vMjxoIb9ztt4AQSdNvbCzcF9ygYRteu/z5kr5/nWsSmOFVJ8/ssvCMolii+d2/Q+bTXvtb0QY+UjLk4XmTh7inQhxQR3KDkNTrx1hdyESbrbonX9OlPX3uVPvxvR8yLaH71P+ZXLz27vvfUWhCHpSoXlGzfIX7iA4Xmwukrz/n2sW7ew5uehVsNBslpsRLB3GukmcWZuDmZmiKamcIpFCr/1W+iVCuRyNG/fxpqbw5qZkft07x4Ap8+d49cuu3xx/THzt+/zjT/xa5QmLDKht615z9R1/vS7X6PnR1BdJlxZpvzuFb5xxaVea3Hz995Hf+UK9XSayxciPvvRL5h9+Ty5V46RM/VDtT6N8vNUevtteouLm94nNe/prRZBuUxT16n0/+/7Pmtra0xOTmL0nZ8rKysUCgUy/UzFer2OruvY/evVbrfpdrtMTk7KcXketVqNSqWC3r9Py8vLFItF0v3xU6vVSKVSFApSDNlqtXBdl3J/bnVdl3q9ztTUFNtpHa9FW0WwngOapn0eRdGrT3tvg+99DWl5/a0oin6uadpfBhpRFP3Hic/8feB/H0XRT/p//xPgfxlF0S832+6VK1ei3/md39nBGe0Ppicn8f/KX8Gfnd3zfVXbPj+51x54dr99JrcuXWqMvcVu1pcV33nn2dtzDPc+72OhFfCH91qU0xq1dsB3zuSYK6QkStyv3XZbbYmMmGB5Lu7qGh/dWoSqA16Tq7aok4erq1R7PbK+z+f97deBKkJAvw78BKnJmQLenZtDU2no2aykw/WFnapaiq86KVKWQdfMcuXsNJWKDakU1W7IL++2KKY1qmGKV04XOVUysTTWK/0na8IhbomXrLlXQm19kTvVuzbZZs41+mq9mo/lJ9L/VG2fahnXbMb19ipNX0Xz++J1g7R6pVDf6wk5dl16SA28iThEssStrlQt0t3+69+amMBS21Jt4/oLqhK1a/U8PlsLoFiCUo6v//o1uvfvSUZDv6SCQiGOtmtaLPilaoTVddoolX6PUnk3e1bGGUYHg+eab/YIah0zDY3bqz0uTKZxg2jX17Mdj7Vk6Y6myRyhtDeUNkatFgtittsSgVxelrnCcfj7S0uUEAdpB5kLWkh6vokIW84gUZFpkIj91FQslqfKk1Qqfj4fZ9io9pJ7iFEaN4cJyX7zhq7xnTM5wogNU96TY7Pa9vnDey1MXeN+zWMqb+w4Qt9yg0FteMHSt4zQ7wjJ9q6dDsUrV2h8+KE8E64r5SaffCLdIhCNmPcRzYkS8jwMylNU5sqlS2JTZDLxeE+Wfw2Vgg2f626cmxuE3Fl1+XC+SyVnsNz0qfdCgigik9L57TdK5K2x4v1uYbtzTmppicYPfkBQqTz1sweN119//f0oir622f/3gsV9oGna16Mo+hmApmm/hui6PA0PgYdRFP28//d/B/yHQ595hGSQKpzsv3fo0W42t9UWYzcwiqmcLxJ2M2W49/jxs39pA/E8dJ3JjMZkWqPla0wUTCYLJuiaGID9fuOW3aOi2qFZJo6v055JkbNb4LRwrA6VXht9clIMy3o9FnRyXd5DUsZ/DzFMPSTlprSywqxpMmHbQmy//FJI4rFj2JMVUo0ADJNMzsNei6DnQDqNncuRT4WsuBprnR5f3VlmPmVw7VIZKyNe0HUt4BSBV/Xgrhsr5iryrdLvLCtOuXdd3HaHj26t4Lo+lhFx9VhBxO5Uqz6IU+WVU0CR+/7/m50O/2BpiXPAtUxm4Ah4EATMaRofBgGLSK2RjTg88ki0AcRomQDezeV4x/dpRxGWrovRosSvdD2uZ7cssG3yts3VVAon0LBTGmbaJDx/Lha3U+esSLxKyVWODiUAlvQS70M97mbPylhU6GDwXPPNHmG7rbt2ih2PtaRgpyLWKh0/isQBVyjIPNFqybOnBO5aLXj0iH+uUiF69Ait3abZd5KmE7to9n8+QRSFZx4+FMJz/LhsZ3ZW9jM/L7X3k5OxE6/Tkfkpk4nb8e0yRmncHCYM62iEEeucVZuNTTutU7BEef5CZXOF+u1iWKDza8ezdP3ouQX3NkVSr6bVAt+nd++eOLcaDbh/n+6vfkW1VuMEYj/8FHFsTSHlfidAxvGxYyJ6d/Gi2DC2LevhcHnrButY3jL44y8V1pV17EYXhbt1j9WOz4OGRyalYWgaZ8sWXhiNhEbKUcKLOOfsBaF/B/ippmn3+3+fBr7SNO0TIIqi6I2NvhRF0YKmaQ80TXs5iqKvgB/AILin8LvA/0zTtP8WEcOrH4X6eZDUiv16lve7bcY4mrYeu+lQ8ZOCac+KIWJvafDd5LhI9UmdEj0rlaQnfDqDU29hBz0yusnKQhcvk8LSs1wp+xD22ynV67Hnu9EAy+JrgNNssoaoZtYQknrP9/nHvs/XOx0C4CPgXz12jMzjx1hLS1xNZ3BOnJbMgHoA7RbYNlarxTXL5IFvcaMXMZEusuZpOK0eFbcXk1FV263EdVqtmKAm68BVmzhVp6dE4qIIxwO328FqNUVToL1EJZter1xfq8Xt5FwXNwhZc33KbgfCiM87bTwkbdbtOxksRGvgTBTRQVJrU4iRUkNE7b47MUGm25Xj64sGGrkctiLxqu2dEqwrleR80ulBlN6amqJSLEI+j5/Nyj0C+Y66TyrqPqxUD/tedwtj5+OoYUfzzS4j2ad7Mquvi1yOJIZF9EAcaqqXtm0LkXccIdiK7Ody0OkMhEULjx9zrd2OnZR9fAosIpk7j4C3QOrrHz8WQjQ1JXX6pZL8vboqat/ForzX68k2VaeLXXTYjdK4OUzYThs0eNLGUjbeals0YXZC5mG9Y2GtI5kxYcTuKtirtafblZ8oAtfFv3VLxuqnn8K9e3zcaLCAlPGtIOtnE9GVOAVC3mdm4OWXpWa+WJTnqJ/mvC4qv8UYV84SNwj5/TstaZuYMfj+uec7X6cX0vUiTk9Y3Fp1OVMyeeT4tL2QctYYr227jBdxztkLQv8ndvDdfw/4232F+9vAv65p2r8DEEXRXwX+IdKy7iZi5/7rOzzWkcHE5OS+9qHfrwjXnrQvOeTYTYdK/vLlLdOKtuVMSRB7KwypZPRYsRniqHYU4Wo6P6pqtDsZSqHG5YJFbnKKQuDS9Ty6kzr5oBuTyno9bqHkuuiuy2+YJg97PU71o9a/j4hgVJA0nXlkgf54fp6X83lKuo7l9qjcuSGLsoosdbtgmlj5PKdyeaqdNr1ek4qRwvZnIJ2T41bt3SAm76o/uiLvSqxORanV+XueEPswxA5CrJoPvg4psAMf5ldjw7pel22HITSbvNdoUEWMa+XF/BIRr8siQiM6sIZE4x8hxskc8KplkTUM/nangwZkisW4h7VKzVVp/lEkhnouF7ffATHWy2Uh7LYtTob+5/OvvUbjk0/WpwInhb0OkMQnMe7ZO1p42nyzn0j26T50a0uyp71hyDOqHIOFQhw57/XiUqB8XubSbFYcpLWazDn9+ec1xCiqIYbdT/u/rwD5xUXp1T0zI9k8iuQoJ2S5LPNHX9eHXi8WDdsFYj9K4+YwYas2aApb2VjJdn7PEk0fthuSjlVD1/CjaJ2K+45syURJ20AwFmRs93rkMxka//SfSls6pGwvQARfC8h4/2fot8SqVITEv/yyZKUUCrFze1igdRvjWqXJ31p1MTSNajvgzdkMc/azXT+ATEpD16Dnh+RNnQA4P7nz7IkxNsaLOOfsRdu6e5qmlRFnWSrx/lP7xUdR9BEwXB/wVxP/j4D/6e4c6Rj7gRdFkfpZceAtlzbCcCp+shUTgK7jeNB2YSJnUesZULbIOTqtZodC2sOeMsHNxq2aLEuMRJVO6nlovR6nOp1BZDhfrRIgqXKPkRp7G0kf/cNWiz+j65zTddmO60raaColi/XsLHQ6WPkOVy0dx9SwJ/NYa6vQdOKactVKSvVv7/UkCpZKxT+ZDKysiOGbTDvt19Vb7TZX3RZOu4cdeVjtthgFQSDbU84CTeO9RoNfISnzyjtp0q9vRVIFK8gk+SkSjT8NXEilqORyYlzbNl8LAjzDiI1v15X9ZTIScdP1uCuAqp3PZOT6q2wDVb+fy8VpvwlV30GP+KSewAhhnF4/xkY4EmuLIhXqmVRttFTpjyqb6fXkGfd9cWjWahJlX1uT140GtFpcAG71N+0jTsPPkHlnEvhqaYnC0hKvTk8LuS+VZF5tt2WOLJfltyL2rhvPjWqeGGNfsVEbtOQ43+w5GFZW/+Ht1rai6pvZDcqxmklp/PRBe1cU7AdrkO/LGFYaNo2GOLSuX4dGgzt37/IAyV4L6afVI+V7Z4Ccrku9/MsvS5/5yUkZw6qkLEnmt7nGqetQbQW03BB7m/XtG10/YFCyYBo6f+ZKYfQzisY4dNiLtnX/W6T13C0kGEX/92/s9r6OEjzX5SguleOU2b3FVm05ntvg3YLY2ybk0jo1NyJn6UzaFt+8MoPT9rDDntSUq5ZsliUGYq0WG4nN5oBQu04Tp+NydbLCa7pG1ve5VatxHSH1t5CF+yeOw5ph8LYSblJR41pN0lPTaSiVsIpFKukuuG0hr9mskP5qNW49p9LvVYp9oxGn9yUdGEq8ThHofhq9ZRhUNE2iB5kMbhDQaHWxrRS/WlkGRKzqAVLTZyH18AZijEwkLvNVu4hlmRwDMZhVr/e+GCBRxKtKQEul5FpWfF75vPy2LHmdzcYOBnUu+Xx8L2HwO2g2YwJ/wFH458Vel/KMS4WexCi1ATpSa8tG6fhJQp/Nyhygsp1sW+bWtTWZ31ZXodmksrJCpZ/51AF+DjSQqKaOOBUBcQYsL8s8efaspCmrUqRsVpyF2azMH5Yl+06m4j9j1H6Uxs1hw9PG+Wb/f1pU3U6zrkZcvV5tB6x1Aiq5FM1euKFuyY6zppJjvN2WH+V4dhwZ0598AvfvEzSbLAMLiOjdNGIXzCL6MldUvfzlyzKWy2UZz0nxVkXgn2HcKvtpupBiteNTsDSmCyZ2Wt+ynn4juwvYUgthjN3Hizjn7MWI+peBC/0+8mNsE/W1tXXG/lHBOGX22fEsRKJ1/fqm392xwbsBsbd0je+dzso+sik5viiiYusQWTEZTqXiiLKuywJbr4tB2O3itlp81EqB1gbN4mouQPNcLqbTXOx2iVwXo9NhCUm/vxEEPFhe5hhw7dgxOb4goBmGpDyPjOcJOc9mZV/tfj/7RiMmwoaxvj41WVOvhKGSEXwV4Y6iuLYU5JyKRdxej3+4sEAaibbfQCbUFHAZuISkAX7Uv5xvFgqsZQvgekzm01gqNX5yMlbhV/W0nifHpyJmKm1e1dQqx0Q2K8fpeXHEQxF7hf77bhDieGBnDFEKHhYHOkTY61KecanQxhiebw4SR3ZtSabjK0ecItPZbDxX6brMD9PTInRXr8v80GzC8jLZdnvgWKwg0foOQoJUT/u3220++PxzzmoaM5cvy1yk5sNkeZOq9VfzoBL222a0c5TGzWHD08b5Zv/fKqqeSWmD+S1jyv3revI6CKHaDqi2A85MWHiBrB3J/T531lQyKh+G4pBSpWNqXD98KPXyt28D8GPgPnAWuICMZYUrti3q9f1WjQM9iOT6l3SWPQOSopsXKmnenM1gp/VNy3yU7ZVJaRvaXUfG+XhI8CLOOXth0X2KBKKW9mDbRxZTs7P7WkO/nxinzK7HVoT9WYlEsjXHRt/dFYN3A/E8qbMnXpyTnvBsdkDcMc04VdSyBmTbebwIeQPSBnRDnKxPJfIGInRaLse1QoF7y8ssIqIZPiL4xPw8JwDTtvmbjsM54F84cYKo0yHt+3F2QC4X19qrlHvlZFACUIno+yC6DbEYnmkKWVYkeXUVdJ33ajUeIjWrLmIop5Da+Ln+ZbuOwdXjs1zL5WR7mQxzphkL26nUWhAjXGUQFIvyfyWSVSjIuajafiX057qxYaTS6RVUBKR//1xN50ePe4Ox8af/7K/R+vCpVVAji71Otx6FdO5RzBAYtfZjR3ptGVbHN4w4s0jV07fbMj8Ui/L30pLMUX0BvZf7pOgaMld9ikTrIyR76IP+30QRM198Ifu6cEEi9LYtc2QmI/N2qSSvfV/mHzUPKUfnFoRp1MbNYcPTxvlm/98sqq7mt0JaZ77hkdI15myTpaYHGlyaSrPc9PGCkJ8/7Gxpi2x7nkpG5V1XHFCqpWurJc72O3fgs89gYUG+ggg9VhBzY11jsXIZrlwRFftSSZxPth2v4yoDTe3zGbGRo6Ta9jdcF4Ztr6ReAch6susdAcbYEi/inLMXhP4/Az7UNO1TRIgSgCiK/oU92NcYYxwqPI2w74RIbPzd1O4ZvBul4sP62uthYp/JCCFut2MCa1nYmQywild3MC0H2waIhPhOTEhk3fM4Y1mcAd7sdpmvVvkZUo9+B2g5DjNIevtfffSIIvDnz5yJ+zyrun3TFKNXicmpCLiux4J2nhcby91uHAVfXoYoYrHR4J7nkUYmtfuIME8eSWXNIemAPkD+xKA5tJMrUElpYnBnMnEkXqXP+n6cVaBq/iYmBjX0g+urxPp8P/47l1tf16oieqpeUP1P03CGDJFekOghfwix1+nWB53OPc4QGGOAzdLxVSsu1RYzk5GU49lZSUFeWOCacqyurpJrNnkjCPi4v9kIWEZKgQYIQ7hxQ34uXJA6+6g/L6+uiuhYsbg+St/rxcT+OdLxx9gfJMm9nYaMqfHVchc/FMG2tKlRykr5VbMXkrN0giiivIUtsq15KhmVh3VtXAdZH8vL8MUXEp1fkljge8j4tJEx+q7anmnCiROxin2pJD9KFFYJTcKONWGGHSWbrQvDtpci7qvtgF8tdul643l8jL3HXhD6vwn8HxBNq/Apnx1jjBcKTyPsOyESSkV1revvST/mAbZL7JNt0IrFuLbeNLFsm6vZLM5KAzsVYik1/GSrNM8TAtvpoKGxlJvmfLsHNPgYSQM6jYg+hUik/E61imealDMZpnVdHAPJ1HJF9lU03DD4dHmZtuvSbbc5WSqR6vVY6BP9JqKkex8h637/71lEkX8BeCcz04/ga5wqZ5mvdUEzoJjFni3Goj9hKIaLqpNXqvX5vEQb0ml5rerfoyhut6eMZBWJV6Q+iuJ+1iqCt4ERM9z+KKVxqDOC9jrd+qDTuYcFrR7UfU6VUmNj8EVH8tlXUUhF7NttaDZxPR9nYhq7XMY6dkyEPufnodkkU61yrdWCMOR9hCj1+j/vJXZzAbBu3cK+dUucA6dOCWl6/FgIV6Ui+1V6H5mMOCkVyX+GdPwxdg+bRcs3amv36lSaG9UelqHjhyGvTqU5Nyk6NVuJ37XcgIVmwFzBoOtHWwcgkraBErtTKvbK0X/rlpD5Bw/A97mLrO11II34xl9T21PdXl57TcalqpdPpXZUL/8s13SjdWHYblMlDWvtgGon4NJUep0ewRhj7AX2gtC3oyj6v+3Bdo80VhYXj2QN/Rjr8TTC/qxEIplur1RUDV1Svvbc+H9WYq9pYuj1SbpVKFBRonmmKQZjqyV1daoWvJ9W7qTS4HTANiGwebP9mEuZNKV+jftDxAD4WbOJgxioU8C/eP68pOH7fpzerqLXhkHUbvPTWg0LIbj363VCJHqlovFp4DwSiQ/733/n0iUed7vMt9tcnZ5m1Qu534yY99MwbXO6YDBp6VhBgNtssRpqkM4yeeECVqEgRkg+LwTdsmLRPogdEMp4V/X/SRLv+/Fnkp/fBMPtj/7ef/+Hhz5asNfp1geZzp10wFTbAR8vdri9ph/4PRvFFMZRLE3Yc6jSG4jTlgsF3EyWn9xYo7fWoBz4vD1XxpqYEPKzvCyEvF6H1VXe6fV4r9ejnwfECjLHeYiwZweZQ/Pz87Tm57lWLIrwWKEg21LEXpUF6boQ+yCIM55ME3R9JMfNUcNm0fLN3jcNDUPTZIlGo5QxBp8HMA3tCVuk5Qb8Nx/X6fohmZTOn7lS3NieGY7Kd7uSUq+cUO22/P3ll7j37nH33j1WkfH3AJhBMuAmkci8BqIVceoUvPKKjLupqfWir8nyv10k85ul0g9rCmxU0lDJp1hpBzyse0xkDDKpsYNrv/C0OSfz+ef0zp3bp6PZH+wFof+xpmn/GfC7rE+5P7wFm/uAUrm8b/t6IQ2gEcF2CPuzEIn8pUu0rl8fLCBKRbXrR5jGPt3nrYh9ktz3U0bdIMQxsth6gOV7YgyqVkyZjBiIQSBRpb7qst3pQiOAKAuhy5tz57A0DRyHa77Pu47DLzyPNURRvo6IQP3j27cpI8ZBuljkWC7HnK6jN5s0fZ8P2m0sxGA4gUxYDiJqB6IQvQxcfe01rH5U340iaj2P2dIEp8pl3HSalqeBHsnOOx5m2MYqpHGzOT6yj3E/lcc185zJ2Lx7eQ4r1Sfovf4UqSLsCWfDE6J1ivDD+lZz20Sy/dHc65dxlu6MowUjCjVPPKj7fLzY2b2ezzuEmm9GBePSBOL5Ighweh4tTOzjM6w4Lk7Wo6L5cXvLuTkh4wsLsLzMtX67O4CbrssK0tfbRZyaXWANmRcbjQbF996T+fmllyQrYHVVMgAmJoRkeZ7MW9lsLIxqGORffZXWrVuHtqPGYcB22tcl35/MGZyftFhrB2RNyejb6HlKqrEvNAO6foidNnB6Aaud8El7Zjgqr8TuFJpNGTOffoq7uMhHjx/TQMZdCiHzDrKGfx0ozMzQCkMRvrt0ScZauRy3UlQOraTmxHNgI7v4WVr/DZc05CyNRjfA0CMavYCWF/KT+22+f+4FnKMOAFuuVWFIUChgNBpHKotoLwj9W/3fX0+8N25b9xSYlrUvKbBjA+jgsZuRP6NfZ71Zyte+3ueNiL1KF+8vsm4EP3rs0ekG5I2A75zJYxHFqvSK2DuOeON9H+bnsXyfq5eO4fgBdsvBsizZjymNmLRCgWudDjSbBJ0O7yOp+PeRensbCBsNPmw0MBDenUImpgh4FVGlvw68D2DbXDt9mlDXCVIpzL5jwvU8PqoBmQIEFlfKaT5b6hssja6s5BMl7JfOwcwMTmiwsBjQ1LKg6SxkdBw3oJIyBnoCg2ibMsyTPXOVcaSiDzvoFZ8cI69Ol7Drh+e5fxGdkJahc6qU4vaaPjLqyGq+GRWMgnjhyMAwsO0MmZyP0/bIZ1PYx8sQhTKfdjoyv1iW1NkrYr+0BI7DxVaLYrfLY+AN4HNESM9BNEK+RMT1aDTg/fclu+jMGYmcqvfVHO66sfhnOo2haXHnkGRp0C7hKM0Pz3suyfk9Y2oDdfrNsgItQ+fbp+OsrZ8+aPP6TGbLUp+5gkEmpeP0AjIpnbmCEdszydav6n63WrE4rhKj/fxzEb+bn8fptxZzkDVZ1cun+68ncjmMc+cke++ll8SZpDQcFJkfzgh8zmu+kb2UvHaaBi03ZLqQotENNiyDSt475ZD9xaOIelfW8Rd+jtpHbLZW6c0mqWqVMJuNx+sRwa4T+iiKvr/b2xxj9zA2gI4mNkv5OpD7rIh9UqStL+Y2OK6cSb2r4wQ6FQuJ0qt2SbmcGIWNhpD748fBsrBu36bS6YiHXtclNV9ltqhe7OUyRqPBtWaTe80mGqLm3EGi8G9tcLhpy+LNuTmYmOBaFPEyUEqnIYrQwxBdRc6zWRw/AjcAM4JVhwW64GowNUnzTIkzZ09wqmxhZTNQKGAHIbmgy8pKBy3yKKdMbMtYn06/Uc2funa7EHlQSI6R02WL1iExfF9EJ+SwYXhUyMpu46DFC0cNlqHzvXOFeLxEodQJTU7G7ThV686ZGUlbrtWE2C8uMuM4zLTb0OvxWr/WeQnpLrJCXGd/DWQbX3whNdCnTsk8HYYyh1uWEP0okv01GnEnESWUquqed9g+8yjNDzs5FzW/Lzo+H8x3+KcP2xQsfcNuN2p+8YI4a6velQywrUp98pbBb79RYqEZMJnVB5mAluJESmFeidKq+9zpyBj46isp++hHThXlyiLp9a8k3kOVivz6r8u4tW2xEzKZuOWsIvM7XBs3s5fUNV1tB3ww32XecVnt+JiG/sS12ejenSqluLlqsNaRa1vKGC/8HHXQ0FzpqB4ZBprSeDoi2HVCr2naLPCfAsejKPqTmqa9CnwjiqK/ttv7Okqora5S2If9jA2go4XWl18OXm+U8nWg93mDKLNthOTMKD6ubAoMPU6bU6Jw7bZEd4pFMQyqVTh9Wrbz6JH8v1gUw3F1NW6t1GyK975U4vuLi4TtNtOuy99F2sldy2ZlH6qnsxKoU/X9QEmlwqt2TPm8GCWtFrbXha4LoQXH55i8OMdyJ42jmaRzWU5dKGOlrUF2gkXEd09YrFYMMEwmc4aQfZVir8h8soZeReh3qBi9UaRHjZHuV18993b3Gy+aE/Jpaa8HieR8Mwo4aPHCUcT6DLD+7yCQOcyy4m4Z7bbU06t59/hxWFyUn7W1QTvPGc+jiqTh9xCh0CSxf+C6zN+6RfnWLV46fVoUyPN5icimUjAzQ+tXv5LtKZFPFV1NpdZncT3HfHeU5ofdOJcPF7o8qHvkrDhtPNntJjm/ZEyNjBnbCZM546mlPnnL4FSpnwHYC8mb8N1zBSkjc10h771e7Nhvt6V87vPPxXl09y4gmXEf9Y9ZneGXwJuAZdsSkb98mVYmI2u1WreHtXp2oV7eTutkTI2llvcE6Ra9AXF+XJpKD9r8DV+bzboMff9cnjdnpZfEZM4Yz1H7hM3WKs33iUyTUKXcHyFSvxdWwt8A/jrwH/X/vg78DjAm9FvAsqz92c/YADpSSBWLBP0ayCRG6j4niL2VMvjeqawcVzaRrqbSMJUafD4ft7RJpyUC5LpibJ46Jd95+FBS+vJ5WfDX1uI0T9dlSqXl12r8KVXPqXopQ6zErParlO9TKYloeZ4YJ44jn8vlsCoVrlwu8V7dxDVMPjbzfO0lm66WwjZCLF2T76RSg1ZzFjBXNNeTePWjFOqVkbtLBsrTIj2bjZtRxIvmhBxlgjKK4+ZI96LfLaj5NQxjFfpkP/tOR8hWOi3p+NWq/CwuQrfLK+02eB4+0ru+hRB8ReyX1H7u35efs2cle6o/j6Y8j0A5DlRve1Vnr36SWivPELU/SvPDTs/F6YUEYUTO0mm7IdO51BPbGJ5ffu1kFtPQ1tkJTyv1cXoh7V4g2+hFOB2fitnvYtNqyTjqO4T47DMZR0tL8ruPXyAlHR2kfn4CIflOuULljddEgHFqitSZMwSrq7Gg7i5mrT2BTbidui/NnqTcA09cm61KG+bswzsmDx3CkNTSEsZbb226VkWmSZjNovk+xtrakUm73wtCPxVF0d/RNO0vAURR5GuaFjztSy86coXCvrWRGhtARwfp48fpzc9v+L+Ru8/9xdfSNCqp9an4g4VZGXLJ98MwVk0+dUper6xI/abvi6GwthZ78Ws12bZty2ezWTRFnnO5uHZd9aAPAvluNivfazQk6q/r8vnTp+V3P92vG+q0tYBizqTe8egGIbbh4nQ1bBMs1Y9ZncuwCr1KF0ym1O9yTaky2gppnWrLZ7UdrDMqtho3o4aRck7tA0aZoBymcTPGBkjOqcnWmLmc/LRaMv+ZppDxmRmpta9WodMh1W5zrdPhBhKpcRBV/BlExOw9+qrkd+9KJHZuDiYnSU9P01tclO1OTEh2Vbst+y4UBqTe1aQMy7Z8ifiqcqctcJTmh52ei53WKfTni6lcit84/2TK/vD8oqLGLTfgQd1lrmCQt4zNjyOKsE3IWTr1bkhBD7DRpQuNSrFX3Wpu3ZIU+zt34nZ1wGPEKRQBFSTdHiywp7GvvgxvviHj0bZJnz9Pz3HW2wS73BLR6YV0vYiZgrmhEzWZeq+u4bDa/Ub37ihpOxwWaL5PqlbDOnaM3uPHMk48j8yNG3RfeQWAKJUi7JduGLUaYS53wEe9O9g1Qq9pWiqKIh9oaZpWoe/r0jTt68hcP8YLivGktv8Y6WueJLZJAb2NiL3nxSnoQRAv6seOyf9qNfl7dlaIfbUqRuLEhBgVrivRApWq1+nEhuzEhLzfaolx6Xny3ampuK1coSBGpUq71zTsnks+1aLl9CikNTKGzk8ed2l5Gpqh8f2LWfKZ9PpzTbSac/0Ax+9HRHZYP7oZVArh9RVR0f/VYvdQp/uNnHNqj/H6zDhFc4w9RJLYq9cqal4syjy5uirzo+r9vboqJK3V4qW1Ndb6tahnEUL2AWLo/QJJm06D1OYvLMg+g0Dm6SCQbU1Oyrb7bUvddIafLvi0PcjkTb59rogFA6X8AZHbAEdlftjpur3dLjrfPJUb9JLfqB3db79RIm8ZT17Tfrq7Zab45okMC7Uec2mw2q14HLVakmJ/65bc2xs3iJBx0QCKSHbHKuL8OQ245UmcyRnsKy9jvfqKOH4Khbhlq6qX32EZ2mbYrhP1k6XulvoGyXF4lLQdDhWiiEjXMRoNdMchLBbRfJ+gXEZvNgEIs1kh8YZBmM0SqazNQ47dtCbfA94G/iLSsu6Cpml/BEwDf3YX93Mk0XIc0gd9EHuA8aS2t+g+evTEe4fmmm9G7JPR6n5d+0A1WaXkq/T1mRl5T6XbK2K/siKfmZqS1D9Vdzc1FSvwNpvyk8vByZNxhF/V6mUygz7K9HpC+HUdK2XwzXM2jttv3+NGOJHJahjR8jR++NDjj7+Ulms+lFLvhhE/euTu+b2xDJ03ZzPUuwGVXIpmL1wXddho3Ixx8FDPbrMXYugaPzifxxqhTl/jcXPEoOZgNd/mcrGuSC4n5UaqrCmXE0dntwvVKtdaLZlnOx0A3kE6hFT7v9cZl59/zluA+fixzNHT0zKn1usDJ4LTdImWm5SLJdbqPk5Np1LKxXX3at5PpucfIezWuv0054YbhPz0QZu2G3F7TfYz3I5uoRlwYTIx8Qz1lXe7PX5+u0Gr1eVR6PL1swUs15X19KuvZA1eXobHj5lHesvfBc4gbRCbwMvAadOEYhHr3DnsK6/hVGaxTQvLLsgaHEV0HzzY1Xr5za7Z0xwhz1oKNcqlU0cReruNdecOvfPniVIp3Nu30V0XbWUFo9XCn5oaEPqgXBYib5r4U1MHfOS7h90k9BpAFEXva5r2PeR51YCvoijytvzmGPi+fyQJ/XhSe35sx1u/UY3Qobvmw8Re1cklif2wxkQQyI/6zvS0/F2rxVH2Wk0Mi379O54nBqqqsz92TAh7NhunnKq2Tor0e956Jea+YWOZKSo5Ift2XkNbadLquOQsHT/wcVoulYweR5ZSKdwg5IET0HTDfekrPpkzKGcNmr3wiajDqNVBjyFweiHNXshaN6DthvzwNvzxlwoj45B7UcfNSGc87QaSREmVGoWhzIXFoqThl0qxQKkSs5uYkDn10SMMz+Ma8IdI9FVDxM50xND8ELjmOPL5hQXpW1+pSKS+1cJOZ8iSoVmrM2np2D2gq8scrByrqVTsJN1FzZFRwH6t2xvtZ6N2dAMkRejCEFwXp+XRbbSZMkJqgY5Ta1Jp1aTMolqFe/eoNRpcR4h8DjiJjIkyEvmbzmbFuXP6NO4rr/Lzdp61qkahHfHtsonV32/Q7e7LfX6aI+RZS6FGuXTqSML3pS4+DKVGvl6HMJR5qNslyGYxajWCQgFvepoomyUKQ7yxKN6GmNY07S9s8P4f0zSNKIr+L7u4ryOHUrm8bzX0+4nxpPZ8aLnBoD+saj2zkSGZv3SJxvvvr3vv0F7zZLToacTedeM0fBU9CEMxEFUdfKEgwkyrq2KIZjIi1gRxeqlKpVf7cN1425lMvH3fF6PSsuKa9z4s4AfncvzBDR8/DMmndFHvT8XHnYy8Vvt1eAVL39N7M1z3l8RG42aM9TgIEmendQxdo+2G4hyKopFyyL2I4+bQZDztBoaJvUp3zmbjziO2LXOk0lKYnIwzox4+ZMLzyCAtyL7ob6oK+MQiep1mk2yzybWVFXEKTE9DeZKzKQvyBSYnJ7D8fkmVEu/TNJl/UymZi1UadhDE8/EhJvf7tW5vtB/L0Aft6FQN/XBUHtcdrIV21yGbiljr+JT8Dvb8Ksw/lnX3s88A0Vi4g6TYG6wnG3qpAtNl3IsXcS5cxktnqXU1zKxJHUMc4gVZa/Mvv0zjgw/25Fo8C7aK4m/WUeaoaDscFoSFAnqrBakUmbfewvujPwJNI9J1/EoFa36eoFzGPX9evqDG+BHBbhJ6AyjQj9SPMQaMJ7XngRuE/JPbLe7X3KHWM9u7dof+mj8rsVefS9bdF4vyfr0ei+OBkHTVsk5tKwhiEp/LxYZLr7deEXojY7FfF5/XQv6Zl4tPqvf3oaIi5awc4xuzWU6VnvzcXuBpdX9jPImDJHFvzWWIooiQvXf6jPF0HLqMp91AUvtDZSilUjI/tttxe9BjxyTavrwsbe9OnOCNR4/EiVqvS796hMjfQwzEPCKk1wLea7W41ungVqt81MtCsQSzU0yen4r7jidb4KksqlQq7lai6/EaoTQBDmFK/m6s29txQm62n7xlxGn2G0Tl0TS5990ulpniWzM+zkoH+/F9rOUlceg8esSHyP11EG2FEqJiT/99kzSZk8dwX77EH+XO0FnTSWU0Fj2dnhuS00MyZna9AN6IYKMo/nAbwDdnMwPtk6Oi7XAYoEURYT5PammJ0LbXjZ3IsggnJojSafxyOfGlwzdPbIXdJPTzURT9J7u4vRcKbq/HUX3sx5Pas2E7rWcU/PrGepOjfM23HfncjNgnheRUfaXvg+eJ4JynYafA8lwxCpXBpxwCKlVfRXiy2bhtnWo5p8R4NiLx/ai96/kibpcxsCwLC6iYG59KMipSSOv7RuY3IyObjZsxBAdB4tYbhvo6w3BU8CKOm0Ob8bQbUAavSnHXdZkb83khd44j8+Xx40LqFxZEj+TkSXj0SNKv63W+idROG8AKYCNp2A3AC0NWu12gC/Ua1Bus+g3mjk2L06Bclnl8YkK0UjKZ9UJp6m91nEE/I2mP6673AjtZt5/FCbnpfpJR+SgSIg/yd6MRO9YdB2txkcrCgjh37tyRbArgJmAioogV4BqSoXELSFMgPHOe7htX6c7O0VqJKJUyLHgp7CycMqEdRXQjnXz/vu3HnLOTbKxkR5nrKz3q3YBy1hg7z/cbYUhomtJn3jDw19aIkAhzmM0SWRZ+uUw4MXHAB7p32PUa+jGeD41ajYmDPogxRgLbaT2j0L55cz8Pbcd4rsjnMLEfrmvvG5mupvPjW3VaHR87Bd86b0tf+F5PjFBVd69S51U7PFWjl8nEBsswlKHYT89y0UTczmNb53FQWROZlIauwVrXXxftPWzjZr9xECRu2IlgGtrIGYQv4rg59BlPu4EksY+iuP2citg3GhKtn5oSYr+0BCdOSInT/fv4y8u8Wa+TBbpItP4RQvw+7O+iARSJgFV40AFnjYVSial6nZQi8yq6ZppxizT1O52OMwnUfJ2M2sOhIvfPAjcIeVD3d6bPoqLy6pr1s8/wfXHc6LoQ/F4P7t2T+7G0BJ9/jo+QiQC5pxaSgVHpb9rOZiG0Cc+/RO/iS9gXToGuk3EjVsMUpbQQiE6gkUtreJGGG4RYhr7nc87zZmMpJ0AmpZGzNKotuV4bidCOsQ/oP+eqhr795ZdK2E3q5U0T9+RJgmLxoI90z7CbhP5feNoHNE0rRFHU3MV9HhlMzc4eyRr6MZ4dz2JAFt9551DVtK62A9Y6GyuvPxVPIfaOB83IpFQ0cVouTtujkuunZipBJfW9nrRzG6RtbtQ+bojED6JAmobTlvZKzxLB3e+sCaVm7IcRhq7xzVO5wVg6bONmv3EQJO4wRIJf1HEzyhlPw9hT7YfNiH0yYp9OS/eRxUWJ0B87RvE734Ff/AIeP6a0usosUmN9HVgCekg6fg2J3N/3OgTLHf7+8jJvAl9/6SUpo1Kp/qVS3HbU8+S3KpFS5N40QdMka6vpYudMLP3wpuRvhh3rsySi8q4f4LTceOw0m/E62+nI/VxcFDJ/5w4sLPARopVwASH0WUT4zkWUsSkUsM6c4erpMzhnLmBPl7Gy0kHmu0UdpxtgZyT7Y7UT8qulHj9/2BmQ66lr7+7pnPM82VjDToBvnsrh9EJ+tdjdUIR2jF1CFJG+fh1/aoqgIu4i3XHQez0h7uk0EdJn3v7612n93u9BOo1fKhGZJr2XXz7Y499j7Cah/xuapn0E/F3g/SiKWgCapp0Hvg/8y8B/Afx3u7jPMcY4ktipATmKqsxuIAtetR1QbQecn7Seb9HbhNgPCJEbkcunsYt9t7/nge/TcgMWOiFzE1ny6dT6mvwkVGQiDNdnASRwGMhXsm6/3g3o+hF56+nfG0Ow3yRuHAke43mRjBaqlmR7qv2QJMRqniyVpOZdtQO1LBHLW16Wz5XLMDcnf8/Pc255mfejiBxwCoiAx8iU3UZ62k8iKfo8eCCCp7Wa7KPTEX2UfF72GwS4RgrH72JnDax+rX0Lgz946OEaBkWjx3fO5LCMKD7+5M8hhZrnixmDnh/x6lSac5PW9u57Iirvej5/eLtOx9XIpUK+MxlgGX1xvGZTyinm58VxcuuWtCwElpGI/FJ/k03gMtKijqkpuHABTp3CunCBihKhTafBMLACce6rcg7T82l7IRlDp+nKmN7rpmLPs5YPOwG6fsScbTKZM8bz9x5Cdxy8kydF+K4Pc34eNI2gVCLsB2+iVIoonZb3Mxl6L71EkM8f4JHvD3aN0EdR9ANN034L+LeBb2maVkaETb8C/gHwr0VRtLBb+ztqiI6Q0uIY+wi1ICcwqqrMTi+k60VcmkpTbfm8OZvZ2XENEXsrDPjeyTROoK9fUHWdlhvwO9fbtEPIzEf89hsl8qmEEZfsF6/EeDaK2vdxGMjXlobKBuNmjIPHyEeCx+Nm5JCc7zUNgijal7aYAyTbjuq6EGzbljT8ZlPI2pkzEr2v1YTklcuYjsPp99/HROqsryNR3TSwiBindv833a7U5KdSQuybTSH2xSJ0OrimyUcdkzWriG1ofO18CLrBjx94zLcj0hkTw87geFAx9Tj7ajgV/xCm5NtpnYypcX1Fss7u1j3OTT7FcztcKx8EOG2PlqtR0Xya1SZOIUfFcEXgsFaLSynu3KHX6/FPkPtlANNIKcUE0t3gTColnQsuXICLF6X8QpW69YkWYRiXuPWveyalUW0FdH2PTEonk9L2fM55nrV8s7V15OfvQw7N9wkyGXTFl8JQBPD67YujvvZRlEoRGgb+zAya6+IdP36wB75P2M0IPVEU/UPgH+7mNl8UVJeWxjX0YzwzGh9+uO7vXaml2yOoeu5GL6CcM5jMbVCr/jxIEHtLC6noEUQhKJnJVIqFRkgbHTtr4PQCFpoBF8r6kyn1m0XthzCKGRDD2MpQGR43Y4yxHbzI42ZUn/lktLDa9gijJzUz9gVJYg+SEl8qgePQ6KfeUyxKZL3fWupb3/++pOrfu8elWo1L3S4gqviPgeOIoNofIbXZZ3yf2cVFWFwkmp7m0zt3eO3UKZxCETomZbtBz8jilA0hj90e+RC6rR6WCbZvgTdUgqUcuZom2VmHjNxbhgho1rvbLGVL1sorXRnDwLY0bL+F03LJpA3sbhPaLUmxr9clS+LePVpRxGdIFgVIW7q3kZIJQHQVTp8WYcRz54TMKzFFVeIWRRuKFnb9iErOIJ0y6fkhXT/alznnWYn4YXDoH0VoYUiYzQ4EGI1aDff4cczFRQAi0yTSdaJslrW7d+n++q+jKWHHFwC7SujHeH5MTE4e9CGMcQiRv3yZ1pdfAgfT63y72Kqee9egIuthGAve9Wvs5woGmZROvRuQIWAyFUgPnU1S6p92LqOYAbERNjNUkuNmjIPHqJLFYbyo42aUn3kVLVzr+Kx1QspZHUPbozl2O0jOw1EEtk3+3Xdpvf++RNZtW2qwHSeue798WQTXHj6E5WXe7XRoIlN0G4n+1vqbv6f2s7zMV0Dns8+4evoMdE2oF0iXi9jVCNJpir6JrqXRTYtvzILVaYPnxsr4phk7cRXRVeReieodgpT8yZxBOWtsXb/dd164YYTT8bEtTURjDQM8D8tp8O1jJk4X7E4Lq1qTiLyql3cciCI+RNLrDeAlJCo/IPP5PFy6JIT+3Dlx6iQEC13Px3GjuLXr0HVVgsBKNd5O6yM756i11Q1Cqm1/5OfuI4EgICwUBq81z6N75UpM6NNpolQKb26O3Ouv0200iJQT6QXAmNCPCFKmeSRF8Q6LoXpYYSTqgg6y1/nTsK/13BsQ+7yu8WdezvH7NxqQMvnlksv3ztlYzxGFOQp9qY0XoJ7ssCDpiNM0eOd4ltnCaDy3w3hRx80oP/MqWvig7vPxYmeQmXXgmhmJedjIZoXsKVV8JaJXrQpRVHXx6TScOIG2tIT9+DF0Ovw6EAK/RFLxQWq2LUSArQNY9+9xNZfDMSrY7Q7cqeMUJ3mzlKebymDbeSzXkG8pZ68i9CoNXB0vxOReZW+NeNT+qRHj/vm03IA/uOngElI0DdEU6HYGIrGW61JpNuS+1GpSN3/nDt12m4+RSPwaoncQAa+p7StxxEuXJBPj/HlpB2tZ8htw/YA/vNei7euk08aGbTk3Oo9RnnNabsAPb7fwo4iCpY+Uo++oIsrlIIpILS/TvXIFf2JiUD4SWRakUkSGgZlOH/Sh7jvGhH6MPcMoRzWOIg6q1/l2sJ8icuucSKnUwJgJNR0jm9mxUT7KgnhJcayuH40daYcATi+k2QtZ7QRUWwEPGx4vVdJ8/9x4vhwVjPIzr5A3NXKmPnrHqOsDxXmiaD2xLxQk/b4vbEU2K/XyqgZ7ZQUePULvdHgX+BIRyvsIidznEUL/HvBKu02l3cZt2nzUSkFuFQpZrrx0DKfdxm63RCwvn5f9qnR71xVnQl9Ib5C1pQThhqP3e0TuW66Ugs0VDPLWs5ejbZiNpc4RcD2fH95q8aDukbM09CDEWVmjkkLOdW1N7sXiotTNLyzIT6fDx8B9YB7Jmojoi96BOENOnhSdhOPH5XUms47ME8q61Ap0CtnUpv3aD1MAyA1C/sntFvdrLjlLjnWUHH2HHr6P1g/KpKpVvBMnAAhzObQgwJ+YoHP5sjyvfcdhaJqEqdTGrYdfAIwJ/YhgrVrFPuiD2GWMclTjqKD5+eeD16Nc17Vfx7aVE8nOpnbFKB/V65yM9K60fOyMpGFuRAyT42aMg4Wd1jF0jaYbYuiQ0rWRnS9f1HEzqs88rJ/zMqbGr53MPhH5PGg0P//8yVR8ReyzWUnDr9UGyukDwm9ZQuybTbT793mlXgekLVoV6XO+BKwirdOuAY7j9Hdah6bNZx0XrAyUC1x9+ThWuy2p/7mcEE/TlB/Va129p+q8If6t6u3V611KyW+5Af/Nx3W6fkgmpYto63OQ+nVIHmcU4fRCwiAka2n0mj2ypoc9I9FORdyZn5frfusWnaUlTOAuomRvEIvgnUSuNZmMlEscOyZEfnY2vp7Z7LoMBzunk0v76/q1N7oBD+o+p0pCRTZau0d1zlltB7TdkKyp03ZDpnOp0XGiHXaEIZkbNwjKZfR2m0g9X5pGmE4TZjJ0L1+WcQaEloXRbseieLrO6urqAZ7AwWBM6EcEmSNY53EYohqHHdbkJN1Hj+K/R1hldT+ObSsn0m4a5aN4ndW5m4bGWifEC2GtE/DmbIY5e/2xDo+bMQ4OlqHzg/N5fu9WxOOGTxRBKWOM5Hw5Hjejh+E5zzS0kSLzMDRuhom9IvXpNExOCrGvVuV/KoKfSsln2m14+JBrfVEsH/gdJP3eRyL1Cg1CitRF0C09DW4Px+hSKeZFab/ZFEKqiL2K2nc6sh/TjKP2KlqfFE1Vx6/OKfn7GbHQDOj6IXY6Ido6+ZyEPhGVH+gBALalkbcitHaXrN7jmxds0RRoNiUiv7YmNfN37xI2m/wuInjX7f9cQEi8EiscqNjPzAiZn56W889mY8FB5ezQdSxNSPpqO+BXi10aXWlf+/Fih9trOq/PZDZcu0dxzlEteNe6AVEUcapk8RvnxxlVO0YQkFpdJSgUCDMZoiAAzyMqFjHqdbQgIEql8CsVvLm5wdeidFq6ahgGYb98JpPJ0Eq0t3sRMCb0I4JsPn/kauhHOapxGLCd9DNrbm7kFruDxNOcSEki/rTre5jS/yA+92orQOvbzJt1wxyPm9FC3jL4rUs2q30xy1GLsCq8qONmlMvHDoPjfMNxM6x1ks0KgbYsUcNvNoVgBoH83e0K0c9k5PXSEqmlJV5GauzXgEeIUasDPYSQAtBbht4ytjUN3b6TIJcTYu95knbfbotTIZ8XMu95QnJVtNnqCxIoQq9U2pNR++dMyVeirU4vIJPSmSs8J5kfisoPri9gRSHfKPosGDBnZsg7Damdn5+P29I9fAitFu/3r6nXv47nkag8wHHDgLk5aUc3Oyuvy2W5dpnM+pZ0SV0CZP2ds0Xs7nrVJYzcgeYDsHEruD2ec55nnU+24F1u+lyesjCN0RZOPAwwHAejWiWyLEmt7/WIMhnCTIbU8rL0lzcMmt/73rrvhZaFFoZEhiHCeLpOLpcbE/oxxthNjGIk8zBgJwbkYSOiu4ntOJHcIBxECbrextd3lA34zaDOfdHx+cXjNq7P7rYHHGNPoYzdMUYPo1w+dugd53rC+xgEMTHMZAZ95pmfl//NzUlruUZDiPfcHF9bWoKFBarArcRmXSQdvwwcQyL4ny8v011e5tr0NHomI8TesiQzYGJCXivlfRW1D0NxLoC8l81KpF5F6NXxKyKr3n+GlPy8ZfDbb5Sev4Z+o6h88nh6Pdx6g18+dum1uiz2mnyt4GLV1uTc7t6F5WVC1+VHQAMRHPwGUs7w8uBA83D2rETjT5+W34VCfF3UuQ/1l09CCcl1/ZBqR4h8MaMzmTP2fRw/7zqvnGiNbkDTDfl8pcf9hnco7ISRghov/Zp3zXUHRD7M5TB6PQLbJjJNwnxenv1+mn0SisRHui7R+nEN/RgHiWajwdFLuh/jebFdA7L74MG6vw8jEd1tbOVEUtdnrR1Q7QRcmkpv2Ld3lA34zaAcFZ+v9NDQyFka3z69ceuq4XEzxhjbwYs6bkY9Cj7qjvNtjZt+i9F1xN6yYnE1x5Ea+15PyLdtC7HP5WB2FrsvoKdgAU0gQEhp2H/dA8zlZd7JZsVZUCoJUahW5XWpJNsOAvm/YUgEWtdjAT3TFCKrUvGTEWn1XhA8mZK/BbnPW8bzpdknswNA9q/2HQSSedDp4Pjg1h0mwi6tahWn3qLSaRLduAGui+a6fASsIG3oZoHp/g+6Ltfk0iXJajhxAioVufbK+ZHsbz8UmVdQQnJ311yCfjJDGEXrWiwOj+O9nHOed53frLPEYbATRgnm48cYjQbdV1+VN4JAnvcoIuqL2wXFokTgfR/N84g2IOtRJjN49sJcjiiVirU0XiCMCf2IIFST4RgvPNwgxAtE4OhpBmTYbzejcBiJ6H5CXZ9KPkW1E1Bt+5SzT9Yrj7oBP4zNHBWbta4aHjdjbIz9ynY5LFk1L+q4OfRR8APGM40bRexVdDmdjoXWVE392pqk3eu6RPFbLax8niuTU3z25WPwlgH4HvAAIfQTiLhbCml/98NOh6lOhzdcV0iwbcu2Gw3ZporYFwqSjm6aciwqat8X6Buk6JumvK/61yf72yftu91SyVdR+SSRV/uPojiToQ+7VSfvNYkWl8i3HWxvFeYf84t+S7rzSMeAHvAnIBZptixRr1ck/swZuVbZbEzm1Tknz3sDOL2QIIzIpHRWOz6TVoqUoW3ZYnEv55ydrPOWIZ2Ebq+NYGeJQwItighUX3kQQbv+y7BQIGo0aL/7LqmFBfReD73XE6I/hO7FiwBEpkn7zTeF2L+AnGpM6EcExYmJI1dDP8az41kVi3MXL9J4//3B34eNiO431PVp9kLOT1ob9sKFw2fAb9dRoTA8bsZ4EvuV7XKYsmpe5HEz6lHwUcZzjZtkjX0QxK3QVE17uy2kutcTEpnN0rVycMIAb4rw8SoPohUgYLK/ydn+7wWE5HeBK40GBkjqeaEwiGgP0voVeS0U4np7XZdIvqbJ96IoJv+K0HpenIqvSEgQPKmSr871WTCc1q/rMZEPQzn+VkuOxfdhdRWr2eRr/gqO3sLuLmMtLYLnMY+Q9ypSlnCJBJnPZiW1fm5O0utnZmJHRzYb7zeZnbAF7LROIa0TRhEhBpWcQcHSt7RT9nLO2ek6f9jshFFDaJrybARBPHZ0HTyPoFDASKcJSiW0bpdeKkX67t0Nx1hYKtF+551175VKJZaXl/fhLEYHY0I/xhgjhJ0qFo8XmK3xLNfnMBnw23VUjLF97Fe2yzir5nDhsGRTHBkME3uliG+aQrabTSHfvR4Z3YCOges06fkpbK0IrS6noyZms4ZNRAr4ZX/TD4D3ARM44Xmk19Youa6Q4WJR0vwdR5wJExPyW5H8tTUhI0pIz/NELT6VEmKvCK6K0CeJPQjRTta+w9Pr7dXnFYlWZCgZlXcc+a2cDa4rx1WrYbXbVO7ckOvl+9SiiBA4B7yEaBC8DbJd24ZTp+S8T5+WsoNiMb7+EIsAblIvP4zk+ptJSWT+oJ+jna7zh8lOGAlEkaTOW5a0octm0Tsdwn6kPjJNicTncoS5HAD+7CzMzuKdOnWQRz7yGBP6EUGv2+XFlHEYI4lnjbB7a2vAk0bmeIHZHEfx+jyrI0eNmzE2x35luxymrJoXfdy4Qcjv32lR7wSUsgbfPze62RSjhF0ZN0nxPM8TEq3IcDaL6zT5ZDWkW4CUaWGXSkSNBlqhyaRVxOpNCpFttbjWbtMBbgD3kN7qNxB1/FdaLa6AEOF0WlL702kh+Spa32qJQ0Gp77fbQoKLRTmmel0ItVLtV4RXRfeT5F4RdPU6GalMIpm6r65F0ingunGKfRSJcn2vB4uLcoyLi3Tu3GGl28UNQ6aA64gA3hlEPPBrIM6IUkmi8pOT0poul5NzU4KFyTT/TerlN0Ny/d0szT5pz7zoc85Rg95qkVpexj15EjSNIJ/HevCA1MoKfrkshD6KCDOZAclXiKxNBswG6Ha7u33oI48xoR8RNBsNSgd9EGMcOJ6VmHXu3j1UKbujgKSxABy61nVuELLo+LS9kJMlc6CI/CyOis7du3t4hEcD+5Xtcpiyal70cbPaDri96qJrGtVOwJuzmZHpTDCKc5XCro4bTRsIZ+F5QrKjCMeHeiaklLVpNdtcLISYvQy2NoXV7vdbz+eFfLfbZJtN3mo0aCY2fR+4A2jAq/3P0W5LdLrbFSKvBPqUAn86HUeu19bk+GxbCH+zKX+bpuw7lYrr6pUzwjBwNV3uXQqsjVLyYX1UPlkrH4ZyXO32IF15UI6wvDxo8cfjx/x+u819RPVfnbcNvKX2oaLypZJE5l96KdYNUCUPwyn2T1Hwf1YM2zO/btzhSV3zMQ4rtH56ffr+faJUimByEuOLLwhzOcJ8Hq3fOSKwbbTp6efeT7PZfPqHjhjGhH5EUJmZkRr64Ul8I/i+9Fx8Bm/VQWCUDYxRxrMQs+Jbb3Hnxz8fp+xuguExOKxRAByq1nVuEPKPbzX5bKlHFEE5a/Dn3ig9c5uj4ltvvbC10M+C/crmOCxZI+NxM5oYxbkqiT0ZN4rYhyH4PnapgFnRWGl2KE1YTB43sbyykG9V810oSBS724VCgVcLhTitvo/biHjePwXagNbrYSws8L1USoiu5wlRV6S+WJTouGHI9stlIdOGEdfVq572qdQgau8GIY4HGc3jZ4+6NH3IZVLxvVPRdwUVDU8S+SCQSDzIth0nFg1sNOS4btyQ7gCZDA6iI+AgTguAU+p1uSyp9bYt0fnjx2NnRSYTOxIUmd9AnGw3oEqQCmmdassn/dqbhJ9+tCf7GmMfoZxYvi+q9ZqGFoYEtk2YzRLm80Lou10iXSeYmCCYnHz6djfB1NTUuIZ+jIOFde8eoWXhHz++6WdSq6sQhvhzc/t4ZM+GUTcwjhIOU8rufmGzXvPJeuWlpgcazOTNDR0he1XbvBNHl9OT84oiMDSNthey0Ayer93RGGOM8Uyw0zrH7RQdL6KcM5jMjcZz90LrMOg6WBZWKsW3z+s4nSy2CVavC54pBFrV2rfbQuyVaJwi4LUatNtc66d33+xv2gA8xFB+T7W2A65NTUk6e7cr75XLEoEPglhMr1QSEr68LMQ+l5Njrddxw4g/qmo0NQtN1/E1jXLGoNH2cFouFTv9JGHuOy4GrzsdOacwlM9Wq3I8Kyvyfq0Gt27J/00Tr9VCQyLzM4jT4hvAhXRaxO5mZoS8K1Kfz8uPKhkYbs23R7DTOhlT4/qKqNvPN33KQTi2Hw85jFpNauMNgyiXIwpD9GaTwLYJikUi0yQoFEj5voznnXaBeAExJvQjAtViITLNWJk0UZukdToYjYaIQ2wnin/AeKENjH1E5HmHKmV3P6CcSdVWwErH5+WKtHB7UPeZKxjkLI21jo+VEsHBzRwhe+Eo2amjy07rTOYM5ps+QRRRNA3mCs9uXEWe98zfGWOMF3ncuEHITx+0CSPIWTrfPp0bmbl21J26+zJudB0rm6FiiUicq2k4YQo76GLl80Koez2JnjebMclXondBABMTzD56xCeuSwq42N/0LaTGPoWQ4WBlBd000UolIbzdblxnns3KtpRqfjot6eutlthu2SxOZODVW8yaLRYii9A0qYVp8mkNO2PENfWq3j6paq9q9JXwXRDE5zQ/L+8vLMhrgFaLO8AHSEu6l5Fa+QfAmVIJjh0T50OhIC3pSqX1ZB5kn8oe3WOiZRk6b85mqHcDyhkDp9kjagd7UtoyziLdWxj1OkGxCJoW95CPIsJ0mqj/XlgsEhSLBKUSYT5P1GyK+v0OEahn6AXCmNCPCFaXlykHAVE2S5DPYz5+TJTN4vdrSIxGI06z0jSiviCK4ThElkWYzx/wGazHqBsYRwXOxx8Dhydldz/g9EKavZCWF9LuRXy50iOT0vl4scPtNZ2vHc/yk3tt/CjC0OHtYxu3BtwLR8lOHV2WofObFwq8PpN5oob+mY6jP27GGONZ8CKPG/XslrMp6t1gy97Z+41Rd+ru67gxDFw0fjTfptvxyaY0vnsih+X10+IVwV5bi9Pk2+1B/fuZiQn+zOoqqwsLnPf9AbmeBwrAY+C/BU56HtmVFQDemZqi6jjM1GriKOh2hRArIT1F7gsF6HaxfR+bgOUgTb3dpZLuorsdvnG5ghWFEGpxVFwhDMUh0WgMou60WrLt1VVxTIQh3Lwpf2cy3KzVyAAfIS36LgCvIeJ/Z2ZmpF7esoTEX7ggr207FvMLgpjE70G9/GaYzBmUMgY3V11u/sOfcX7S2vWuLeMs0h3A8zCXlvBOnNj0I1qng7G2RpjJYNTr6N0uYTYLgD85SZTNorsukWnS+sY3IAyJDEMykHeB0K+uru54G4cNY0I/IihXKhBFeJUKUSqF+fAhUSaz7jNBsYje6QDgz8xgzs9LLX0QjByhH3UD46ig8OqrND///KAPY6Rgp3UMXaPjhVTyBoYOuqZRTBs0eyGrnZAwgnImxVrHp+VFgz7Fw9htR8luOLosQ+fUxM6YxHjcjA4OU5ToRR43w89uJqVRbfsjc99G2am73+PG6YW0fZ2SnaXe7uFEKSqZfus7zxNymkqJiruqbVcEfHWVielpJmZnJY29VuNaPyL+C2AJScN/CAQIOV5bWWEe+OdKJaZcF+7ele1NTsYZla4rkXTbxspmeedknge1Hjc9KGZMqr5Ot9kh73bifvbpdByd73TE8aCi9Gtr8t7SUrztGzfk/NJp3qvVuAN0kNKBl4Fr6gKdOycp9oYBs7MSmTeMOMPANOMMgD2sl98MySj9N37jHT740Ye7nuU5ziJ9fuiui97rbfkZo17Hn55Gb7WIdB1/chK93QZNo3f+PFEmQ2plRVrXJfhLZJqSqbxDlMtl1l6wDgljQj8iMFIpAsRzBQwESLR2W4i9ptE7e5bcZ58B0Pr615n4u3+XCNA8j9TCgohK2DYA5uPHeHNzB1qHMsoGxlGB3vd4jhHDMnR+cD7PD2/HtfReGHF9pcf5SYu5gsHtNUm7r7aDQeR+Pzz0o+LoGo+b0cBhixK9yONmuIf2Tx+0D819O2js97hZ53zJmNh2BqIQ1/NxehG2qWOlUkJap6ZiITslfFeryc/EhBDexUWo13mn0SByXcrALxCiHAGLQA64Xa8zVa/zHpBqtXjb86SGXonpqdT+RgMrm2UuneO+C07Qo5S2sHUTzIw4FkCIdSYjUXjPk+PzfSH2jYaQ+W5Xjv3evYHDotlqcaN/bBZwlj6ZLxZF7M62xVlw7Jicn2HIuabTcW97TYsdHweAyZxBOWugZ7J7kuU5ziJ9fmi+TzQ0Lqw7dwizWbQgIDIMgmIR7+RJCj/7Gc2vf53e+fOU/sE/gCgiMk3CXI72G288se0oldqVlPvUAY3bg8SLd8ajDF2XvotRRJROS6R+cRH31CmpOcnl0Hs9SVexpO7K6HTQXJegXEZvtweEXm+10Ho9ohfYABvjxYVpaLx7IstK2+fTxR6VnMFav81U3jL43tk8D+o+Hy92KGdS++qhHzu6xlAYR4kOF9Szu+B4rHUCKrkU/3/2/jRIluy688T+13f32CP3ly/fkm9f6tVeBRQLVSgAJNggrJtqyrp72iTZyExGzWgWmczGJJsvGlN/0of5IMnGpJ6x+dSSWoOxaZIYctjd7AZAsgkQJFAooFAoFApVb99yicjMWH279+rDcfeMyIzMl5kvl4jM+zMrq3yxeHiEH7/3nnvO+Z9WINR1GzIGbZyGHPiLxxH8DodrSbwzbZJTb9uUyp72kU97uZdK5FgvLQFjY8DEBLR6nYTzWi1MdLtwAbwPqrFvg+rSPZBSftzt4pVCgVLXGw2KqJfLtHngOAiDEL9YqUHTbNilAl4ZZ7DiCOjKdUc6DOlcoogc7E6HovJLS+sq9g8eAPU6hG3jx4mqdw0UmX8dwCyAMYAi8tPTtEFQKFBUvlxe38SwLAoACdGfZn9EpNfQK5uYOIANs2HZXB9FWBRBpCUZiY2wKIKRpNWHp0+j89prMGo1CMNAdOoURD5PPeaDgDYDGBuoYr9fEfqTiHLoh4T68jKKhpGl2cfFIoILF+D+/OdUZ2JZdBPEMXjipEvLAlqtrK8jGMvq7KVlgUUR9EYDvFIZ+hZ3ir3R+uijoz6FoSONerYCgeV2jEgAKz7P6vCAJG29ZOD2ytaieMcZZTfDwahFiZTd0PjyswUftQ5HrUPjyrBft6PmKOxm48ZptnmWt7HWjdFkFsbsJBU+jZwbBkXFCwVy5hlbV8VfXibHd2ICWFtDeXERaLVgdDrQAQiQgvz3QU69BuCDxUWsAsgBeOPiRaptX14GKhU0i2WgpcN1AqDThu9UkZOczsW2aU3nOBSR55yc+U6H3h/HtAnxi18AQYC/bbfxKwAOgHry/1sAXky//Nmz5MzrOn238+epTt5xaBOjN5qZptgPgfCypWsQv/r4wJxttbm+RziHtG2wOAZrt6GvrpITbhjglQqC+XnKGO50EI+NIS6VAADCccih38YfkaYJadvPfYq1pCPFSUI59EOC63mUapLsksbj4wiuXIH58CGM1VXwchnSMCidJbkZZNqDVQjIZPDVmk0Y9TpEIjihdbsQrrs7hz6K6H3F4kF8VcUuSFPGAQwWbpuagn///lGc2tCSLtxsQ0PAJc5VLHRCgRennL7f7yTv0Cu7GQ5GzQaV3dD44kcSl8dt1NrxpnFFsZlhsJu+zTNbQyFnAVqSVs45OciahlDT0YwZCkUDVj5Pjv3q6nokf3mZ6uOvXQPqdVy5fx+319bwMkh47legFPd7oLR8F4AN4LXPPoNWrQITEwgbDUSLdcDXgVOzgOui0FoDgg5FypMoPrpd+txOh9Lul5fX0+3v3AEYw5oQeAhK/18FUAEwD1Kyh+tSG7qJCfqOY2PA/Dx951yOnPtD6i+/V4bBdhSbSf2RVNdLWhaY78O/eJHKfQHwXA7BpUuZyB3jHDyf397GdH1fApCe56HVaj33cUaJ4bpzTzCu5yFMdqZELofuyy8DAESpBO3JE2B6miL0UmZKkbKnP6h0XaDdJqEKxujmCgJI0wRLe5fuEL3Tgba2phz6IybkAt+708btOqXdzVctvHe+P/XMmphQk90G0oVbKxBwDA2R2Lpn9FHt0O+nENpejqXsZjgYJUE8QNkN0D++HHUv+lGxn2Gwmy03z9Ke17qOsOvjh3faWOVAiQFfPOXAMk1yfjsdcuwti6L6tRpQKKD06qv4R0tLwOPH4Ilw3WsgJ/5jAB2QiN5PALxWryOs1/FT2EBhEpARzqw9QrXNYJnT5HhHEdXGM7beQm5piVTsOQcePqTzKBSAR4/wKYAVUDT+ZvK5DCDn/exZcuoBYHaWauZNk6LznrfuzAND6cwDw2E7ig0wRg59Wgqi6xRV73YRTU1lDrz0PPjXr2dvE7aNeHJy20ML2ybbfk5c11UO/VHCGLsLoAkSD42llK9teP7LAL4N4E7y0B9IKf/JIZ7igSJMk4yZsayGhBeL1O7BsgDThNT1zKEXtp3VOgnPy9RPZXKDaVEEnsvt2qFnUbRJ8EJx+DQDgbUuh5ZkX6ga252xUbzKj+VQLXj3Uwht1ETVFOuoazeaDEtWRbrhu+ZzlBx902avop9tNz+SdVQTJtZ0ByWHo9OM0BQaxlxrPQXedded+cSBQb1OtegTE9CXl/FGIlT3hu+TYB2AX4BS8v82+b+GAGg+AGDAnDoDSwc57cvL5IiXSvRZjcZ6rXwYUop9FAH5PPijR/gpgEegqPyrSBx5gITv5ucpNV/XKcU+rZfP58mZT9viDWlkXjEkCAGjVstaaGcP53IwajXyOQyDyoI1bduWc+23336m4F08NbUvp30SGcY7+D0p5fI2z/87KeU3D+1sDonmygpM09x0M4hcDoxzEsUzTbpxkjp7aZqQmgapaeBpi7t0tyyptxe2DT2Ktv/wKIIWRbQpAGS1ZCwMYT18iGB+fr+/rmIHFGwNJVdHrUsp9yVH31Sr2b179wjObPjpjbwPS6/olP0UQtvrsZTd7JyDioKOoiCeshtiGGpv6x2O2/UQDMBiK8b1cfu521keFEdtNzvdPCt4JpychbVujFzRQKFgkpfMOTnBAKXgnzpF6fe1GjnezSY599UqOeT1OrCwgDeiCOh2Uet08DFIOE8HcAbAOAAghn3vNjnbaZ/6xcWsjzwmJylC//Qp8OhR1kpOPnmC9wF8BKrVv44eZ/7cOeD0aXptoUCOfS5HDnwqfpfqLTG2nqEwpByE7YxKZsswwIIA+uoqhONAOE628cNLJViPHoF7HqBpkKYJXdchtxFSzHyMQ6DZbB7aZw0Lw+jQn0ikZaGTpNn3Ilw3E4mQhtGnACkdhwZpTYNMI/SaBmkYiMfGgDimNJi0BUrfgan2HoYBY2UF0DToa2sU3U9uTq3dpkkhHfgVh4qla3jvfA4vTtFmzaAa+ixdTjEy7KcQ2p6PpexmRxxkFH3UBPEAKLsZMqSUaEeAkBI/edLFVMEYTgfliO1mp5tnfdkXFoOVOvOpCn4ck3OsaRQ5n52lx5aWKCW/3SbHfmKC/qvVEC4sYqzTgQsSy3sKqq+/B2AOpIw/t7qK1dVVlAHcnJ6G47rUs/vBA3L2Hz2ijYOVFUAIfAfAZ6D6/BxIAA/5PDnz4+OUGTAxQfXzrktOfD5P/0/Xc4zRv4edfbYdlRm1NeaTJ4jGxwHDgHX3Lni5THpatg1zcRHM9yFNE7xUomBjGIJPTmabSdIwhia7V0p51Kdw6AzHL7+OBPBnjDEJ4L+WUv43A17zRcbYzwA8BvCfSSl/sfEFjLHfB/D7AHDq1ClMJKkirVYLcRyjXC4DAIIgQKPRyJ4XQqBWq6FcLlO0HEC9XofjOPCSnaVmswkhBEqJaqPv+2i1Whgfp/1Wzjnq9ToqlUrWB7FWq8HzPLhJqnyz2YSUEsWkRt33fbiuC5n8Oz1GtVqFXi7D/frX0ZQS+UoF+a98BdaZM1iVEub4OPLvvEM3VbUK9stfIvf664CmIcjlsHzjBsYLBTiPHkE4DtY++gjuuXMwKxVo3S78Dz6AOHUK3tWrtHHwwQcI2m14r75K6TPLy+j+zd+geOtWNvA33n8f3sWLMJLv3/70U+i5HJzZWfpNHz9G3Gggd/UqfZdmE+1PP0Xx1Vez69N4/33kLl+GntTJtD/5BEaxCPvUKfo9Hj0Cb7eRu3wZABCvraHz2WfrxxACjQ8+QO7qVei5HF3bjz+GVa3CSsQ4/AcPIIIA3sWLAIBoZQXdu3dRTDZNZBSh+eGHyF+/nvXIbX30EaypKViJPXTv3gWEgJtkKES1GvxHj1BIemeKIEDro4+Qv3kTWqLK2fzwQzizszDHxugYt28Dmgb33DkAQLi0hHBhAfmbN+kY3S5aH3+Mwq1bYInNNT74ILtOAOB99hk024YzN0fHePoU7aVl2Fevo3T2NLq//jXan3xC3y3ZaVfXaefXiUuJxV9+hpxjoDh/fs/XqTPgOoX1OvJJDRlvt9H+5BOMv/Yqfvd1hiCW6HzwPspXLu/4OgVrDTz+8Jc48xtvAAwwIom3+I/hXr6MQrUEnbEdXSejVELW0HJErhOwP/fTTq9T8eWX0eHA9fMRfv2Xf4PJa5fhXZqEZ2r7dj99/a1T0KZmYBsM0ePHQ38/ObOz6Ny+PXTX6SSOe7h9BzdjD9XLF2HrDO2lJbSDZYy/+gqdxhDdT3ouBzdth3YE1yknJW5MLeDnf/sx3vz6b+B01YLJ5MDrVKxWMd57nXwf3vnzQBwjevIE3QcPULxxA4giSM7R/Nu/Rf6tt6CZJvD0KV3rOIZlmuBnzuD9u8tAcQbXbeCsxvGjj+9hOqjjMShdPgY5+QxAEcDdp09x7ulTvHvrFsxqFbAsdBsNfP/OHSwBuADgLmhz4BsATudyMC5dQsu2UZifp65Hc3NoCAH3zBmYc3OA66Lz+DFdp9OnSfwvqecf5vuJSwlzegaLf/zHqNy4/lz3U+2Dn8K6ch2O4+DauQif/OCnqJ6ehvfiGXimNpLz035fJ+/aNWBujvQkajWYk5OwZ2YgPA/hr3+NOAiQu3yZNLomJ8H+/M9R/I3foAPEMbp/+qcoTUzATDKGD8t/arfbGEuuQXqMqakpdBPBvlqthlwuByc5r0ajAcYYColNdrtddDqd7BhxHGNlZYV8sCTjYHl5Gfl8PjvG2toaNE3LjtHpdOD7PqpJK74oirC6uoqxsTFoyXVaWlpCsViEndjP6uoqDMNAPp+n69ZuIwxDVBJbCMMQa2trGB8fB9tBUJUN0y4GY2xWSvmIMTYJ4N8A+E+klH/Z83wRgJBSthhj3wDwf5dSXtrumDdu3JDf+ta3DvbE94GJiQksJT1E+5AS5W9/G+3XXkN0+jRK//JfovXmm+DVKqz79+H+9KfQ220033kH3o9+BM33wctlBOfOIbh6FVqrhfIf/RFgGJnyJAAYCwsAY4gnJ2EsLKB74wbyf/3X4KUSICXCuTk4n38O4boQtp31t1ccPb07zF/8xlsof/ah2mHeI6O0W997ro5Jg7sf7e28i6++isb77x/UqR4bRsk+DgNlN8NFO+T47u02YimRt7Shtc9hsJvn/q2EoGi9EFTHnrQIRhhS9L7VWm8xt7wMtNuo1dbweS2gensuUeouYe32AqALIKwDIEG7+6Bolg9y7KugtHwbwBtXrwKffIJvA0hrUWMALwN4A6CU+vPnKUNASvr3xMR6vbzrrrc1Tv8bgT7f6dh7/b0v4uPv/fVz2XZ67UMuwAAsdzhCLuEYGv69WyXkrKMTthwa4hjmwgJ4stbX220qxw0CRNPT0IIA7VdfRe6v/xpwHKz95m+i8gd/gNYbb0BaFvRuF/avf43V3/3docjo3dKnGmFeeOGF9zdqy/UyVBF6KeWj5P+LjLE/BI1Xf9nzfKPn7z9ljP0/GWPjz6i5Hwn8RDxlE4whrlazNBaey2V/S12H8DzqU6/rYFJCeB6E52V9HKVpIh4bg97twlheplT8dFCXMquz55VKX31LXKmAhSFEtUopN8qhHxp60wef3F+EPgK1t8PKKNUx957rYisCGDCZM7PzLtjYcV1gdAJ7tO6FYRFAGxaU3QwXOUvH1y/lh94+h8Fu/FhCSKDiGHsb6xPhvExILnXw07WU69LfaY19GKKQqwF8GWK5Ac3VUXcmsXRpHKWHD+GaFm7kGX6xsIgGOFwAlzUNnwqBXwGoASgDwCef4AKABQCXQH3m8wBuaRpw4QI5890u1fifPUsp+ppG/eVT4eR0zafr9N8IkM533cVldEK54+u1sT4+5ALfud3G3ZUQXACABNMY5ismuCS7GDadnaNAC0MI16Xe8pxD5HLQazWqnU80vKLZWTApwS2LfI1cDjKXQ3jmDIzlZZgPHw6FMw9s41MdY4bGoWeM5QBoUspm8vdvAfgnG14zDWBBSikZY2+A9ECOfqbYB9qD6twTwjNnIJKUjPD8+czxloZBN1SzCSS1K+HMTNZSAgCkbaP11luwP/sMzu3b1MouFdDTNGjdLni5TDdtLgfW7VK9vucBnEMYBnTfh/3ZZwiSdCbF0eIYDBoDVvwYuPcA12aGf7d9WEnrmFe6MXSNwTGGYzIaRG/NdcmlRVlaf+0YbFeRZP/Ro8M67ZFnGATQhgVlN8PHKNjnMNjNTjQrdiSWpmlUgihEJlLXpzOUz1MEH4B1agYvjY2h+XgRUbuFO79awHTRwsrZM7gym4f/6B7QZDirS6C5iDHB8TKAAFRf/1cA3ge1vHNADv57AInvzcyQ+F2zSX3r0/7yhkHOfCp+1xuVHxJnayek1+vTj+/uWGNkUEZVMxDggqLx9W4MQ2PgkcT9tQjzFRsRlwi5GNrNsMOCBQGE60JvtQAhIEwTWtJVS+TzmZo9dJ10vHQd0fg4ddtC4o+kvsUQsJ1PdVwZGocewBSAP0zqBAwA/1xK+a8YY/8BAEgp/ymA/zmA/5AxFgPoAvhHcphqBp6DsbGxLdNDwqQeBwDCpK4GAITjIK5WYSwvk9J9uYxobo4i68kGAEC97LsvvwzGOawnT0gRX0rwXA56s4lwdhbSdcHLZRhBAF4sUsSfc0Szs4hnZmB/+intRo/I7u5xJeQCP3jQQSwkdI3h73zzi+j+9CdHfVoji6VreGvOy1Ixf/CgM7RpqxujxQCy1nxPWxytUOw4+lS4devIU2AVo4eyG8VeGAa7eVa2za7La1LHXtdpbZRG76WkxxwHCAJYjGHs/GmEYYi7oQXZbKHSXkE1AnD+LFCcBT6/C0igMJ3H2OICfq/dBhwHVzQN/0OziRCkZP8yYyR8NzNDEflGg9Lrz54lh91x6PHUeU/V60dB/G4D6fXyXn4VnQ/e39GcnEb187aGWjtGvcNRsDUYGkPRZujGdIyKq8HWgVbA8dcPO0NdrnJYsCiCqFSgN5sAY9QeO8kC5uUyqdcnotupEx9cvkxlugCEZQ1VJu92PtVxZWgceinlbQAvDnj8n/b8/V8B+K8O87yGGVEqISiVYN+7B6nraH3pS1u/WNPAq1XoP/85WBAgrlYhPA/WwgJEsQjheWi98QaKf/Zn4MUiRfwTtXv/yhWYjx+DxfG2LSkUB086YVVcctwicSz2s46U507FPEQ2RuMKNvAXd9toBQK1DrU3zFvaaCimKxQKxSGyXTbDnsuvEkcHmtafgh9F5Eg7DtDtwmIMr7x0Hs12iEKrDqvRAGo1vGRbaL52EQVLh3XvHsBjYGoKWFxEqdMBA1AC8JJlkeM+N0cbB80m/XtmhqLyuRw58r2ReWAknfkUS9fgmRriHTraBVuDYzJ8uhwAAH7yxIeu0WbNaiAwnTOwEnAUbQ21DkfIY+R7NseHdd4/LEShQG0TAQoK6jqi6WkE8/NZGW+afg8AUSJsCADS89B55ZXDP2lFxtA49Ccdzvme3ytsO+sNue3rknqX5jvvIB4bg337NvDzn9NOHOiGlI4DXir1p9aAsgH0dptu6rSNSLL7az5+TIJ7G3uZppPbEPc4HTU2pg2aPER81Cc14oxk+7CE3g0eALg15WKu9OzWVSIIDuP0FMcMZTeKvTBMdrNVWv1zzQNpP/c0Wp+ufRijlne2Ddg2LN/HmK4B+WmKrJdKsBoNjNXr5HhfvEjrqzt3svd/dXUVQa0G69w54NIlcuQ1DbhyhXreaxr1l9d1cuh7a+ZHQPzuWezGdixdw4tTDtZ8jjHPQK0dAwzIWzpiHqPo6LAMhnMVCxoLsBYIdEKBCc8YqXn/oOA9EXaRz0NYFrobnHRpWetluxsZopKO5/GpRhXl0A8J9Xp9z+/llQrkDnZhebEI//x5xInafdpLMk2fAeiGFrkcpK6TU59sFAjPg94gTULr/n1ACIRJew+92UQ8Pk6O/dQUpOuChSGMWg1S0xBPTe35uyk288Lkel/67i82dW1U7JI07f5hI4ZnDs+EtBN6F6F5W9uRMw9QCyyFYrcou1HshWGxm+3S6vdFADN17FMBujRKD9Dftk0p8e02Of1TU+SUl0qUPr+wQE54srbCnTs46zjA9DT1lK/XqV5+dna9v3wamU8zBUZM/O5Z7NZ2qp6OiqujFYhMa6YTCjiGBp8L5G0Nl8csLHdiaIxh3DPwlfmTnW4PAJByPWVeSqqdT9oE9iJsG2IEsj6ex6caVZRDPyRUq9U9G2A36ZP5LEQuh86bb67/u1CAKBYh3awjNeLJSdqlS9Lt0xT7VP1SX1sDCwIwxqC129DX1sjxT2rItDAEd12wIEB46hSMpSVVe79PDFqMuDdu4M4PfwqAJrITPyntgZAL/NX9Dm7XQwDAfNXCe+dHY4Lf6yI0f/Pm0CyyFaODshvFXhgWu3lWWv12Kfk7EsxLSdc7Pd2EYBjkcEcRpeEDFL3XdXLsy2Vy7FdXqe2dYZCKvW0DS0tArUbO/9mzWcQfnrfZgU8/55jg3riBhz/62Y5+9/QavTXnwY/lJq2Z9DHVvWQDQgC6Du55mcCjcBzwAQ69tO0s/X6YeR6falRRDv2QoB+Bwys8D9HYWF+EPrh0CQDAOp0s7R6gzQDz6VPEExOQjgMpJbRulwT4TBN6uw2ez9PEBVDbi3wesZTQ2+2BO32K3bFxMVLvcKy0Gf7wl5Q5MUqO6DDRDATWuhxaki427HX0G9mLyrU2AhOyYvhQdjM87MrBPGKGxW52mlY/qPXZrgTzUnrXdT2Bj+zv1OEPw3WRvWqVnPc0Ym9Z1ON+dpYi9anwXZpSr2n0OVKOdL38IEIusNhh+Ot7nWf+7ttdo3R+7G1PNwrdIQ6cKAJMEywMwQsFSNMEE4Ki8IlQ9kaE4+woI/ioOQqf6qhRDv1JhjG033578HOG0Rehl6YJXirBv3wZzq9+RTt6QtDzhgGt00E4MwNjZYXeLwS1sIiiLFV/XxHiWO1C74SNixGABN1G1REdFgq2hpKro9almquSow9tPd0oLeIVCsXBsGcH84Szk8jsVq3P9iSYl2IYgKT2aM1YQ8EErDQ9X8p1Zz4MycmamKDU+mKRgiQTE/SfaZIzn/aXT/8Djp0zD9Bme8Sxo9/9ua/RCYOFIew7d+BfvgwtCBBOT1P0nTFIx4EoFuHfvLnpfaJQGIkI/UlEOfRDQq1WO+pT6COtn5fJZMGkRFytIjx7FsbCAozVVXqhYUBYFoxWi+pv6nVojQa0TocGhygCGyBOoa+tUXTftsE4p1YYu2h5Yd27h2h6uq9c4LiT1no/bXFM53WYOsNf/fVPIJLOjcPsiA4zlq7hvfM5vDi1rk0wjIvj7Rbxu3X0mx9+eNCnqziGKLvp56g22EbNeRkmu7F0DQUbyXXDpuvWDARaoYCja2iF69f3eYVTQyHxFw8DdHyOvCHxpTkHlsb6RYZTJz+OybGfnl7vd28YQKGwnl7fq66/A1HkUaRga/j5D97f0e++1TU68ZvgSQp9H1EErdUCz+fBoggsCMArFUq7L5W2rZEPLl484BPeH4bNpzoMjucoMILkcjk0m82jPo11NI1u6mSiiGZmwEsl8FIJ3ZdeQuHP/xwAOf5Zmk4uBzAGvdmE3mxCWhaEbcNYWQGLIsSTk9nhWRCAxTGs5WVIAAyAf+3ars6PRdGJcujTHvSdUOL2Cjl0X/+NS7j+i88BDK8jOgpYuobpwnD/dlst4vcSrXNmZ9G9e/dwTlxxbFB2s85+brDtllHrzDFMdpNet1YgoGsMX53PIWetp+c6BkOtzdGJIlg6g8b2rlXSawfZ+O2ZNH7HDGOesZ5tmDpeprnuwHNOUfu0x3xaH6/r6x2EjqkzD9Dv/ptvXcLTT27v6HdPBYPT39sxZLZmOomZLCwIYD58iPDChb7HjXod+uoqolOnYD550ieIF1er0OLR7500dD7VIXB8R4IRw3GcoTM+4ThZhD5NuQeo9j5FGga1sWAse1waBmTyfzgOtG4X3POgtVo0iJw+DQBgcZxF6MUuJyVpGGDHYNDZDYMcuvGJCUwX7h/1qSkOgUGL+JALPFiL0QoFKo6x42idOTY2NAvsk8ooRo6U3azzrA22rRzG/WDURL2GyW6agUArEFjxOTqhwHdvA1+/lM9+Qz+WqLgahJTwY4m/utfJnt9NFsTGDZ+35rz+8TtnAbpGznuvQ586+I5Dz9k2OfZpvXzaiu4YKdlvhzsxgbH7269xen9rJ+lU40cSjAFcyl3NjSOLENDX1ijSnsASbQbW7VKafFqewRj42BilzzcaFMBL1u+8WiX9hhFnGH2qg0Y59Iot4aXSQPGL1MmHlKSIn6isilyOnHTLonT7pC+qSCYio1aD7En9kemElDj2m+riBwxQdGKcNgJOmEPvGBQtWPFj5C1t6KMyo8gwO1kbF/EAMseh1qGyFmUX+89B2ISqgR59toqSP8th3A+GeZwadgq2Bo0xNAOBvKUhlrLP0SvYGkxdQ8hj5O3Nz++UQRs+vS1ns+uW1tGn3YDS6HsqmtfbBi/9O/2/AkD/b73YigAGTOZMrHRjGNroZLI8D8z3oa+tUSAuyVxlnEOaJqynTxGNj1MUPilxDc6ehcznIYF1hXsA8cQExAnKfD1OKId+SGgM4Y5Y9+WXBz+RpoKZJuJKBXq3C6nr4K5LDj5ASvjJRCUcB0xKcsIBmrywnq6vNxoQuRy0brdPDV9rt2EsLZHSZs/kxZJ0NK3RgNZoQBSLB/QLDA9pun0sJHSNdvstXUP39u2jPrVjwyg4Wb1RolonRieUqLg0jN+acnfch17Zzc44KJsYtRroFGU362wVJS/YGnSNoRVQ7+vU+d6v6zsK49RGhs1uTB3QGeDHAhoMOMb6+sLSNXx1Pofv3gZiKfe8Sdq74eOYDD9b8OFH69esj9RJ55zWR2l9PLAene917E+QM78T20l/65VuDMtgsHQNK90YjAE3J224pnbsSxIZ54jHx6E3GohThz6OSeBOCLAoAgBovo94fBzdV18FC0OEMzN9a2heLg9Utx81htGnOmiOr3WPGGyEBmipaWAAuOchOn0acbVKivimie5LLyGuVCBsmxx2wyDnHslA4XlZaztpmhTJ1zSEZ85Aa7cBAFp6IzIGkc+D+X7f57M4prr9IIDW7R7iNz86Ugeg4hqQktICAZw4pf+DpNfJ6oQUlRlmeheMeVvbsTMPQNnNDjkomxi1GugMZTd90AZb/31n6Rq+dNaDZTD4scBKV/Q5jM/LqI1TAIbKblLl9CvjNqQEuhFtlod8/XfMWTq+fimPd87m9rxhkm74vH3Ww4tTDvxoB9csjcL3it5Z1roTfxIj8zuwnVQw2NAYknARICUeN2L8q89a+NmC/4wjjD5MCEjT7LePtAWd52UZrSwMqcU0QDpXxzQgNko+1X4xPKPsCaewC4X3I0fXIXUdwvMQT02Bl8s0kJgmwrk5dN54A9JxaFfZNMmhT6L5vFCAluwUCtel9H1dRzQzQzvTUQRzcREsCAAh6PWdzvpnSwmt1YJwXYh8fqgWCgfJVg6Ae+7c0Z7YMWLUnKzeBeNuF53KbnbGQdnE81y7o0TZzc4QEpjKG7g0ZmMsp69vwD4HIReodWI4BhupcQoYLrtZj+Zy6BrDRN4Y6GQP2qzZDb1lEVVP39016029B469+N127NR2/FhCSKDiGGgFAu2Ishk1xrIsqOOAvroKPW0P3UscU6q8lEAcgyXBLmmaWemsUatBX13N9LCOMyPlU+0TJ3OEUDwfyU6xSHf5dH1Tz/o0Qg8A3HHANI1q4Q0DxtoaACCcm4O+tgajZ4DRwhDx2Bj01VUS4svnYXS7Wd97rduF1ulAWNa6s79FT3oWBLRhkIrIjDgD6+8U+0bqZNU7m9ssDiu7FWpS7I6DFB9T1+54MKievWBryFsaOuHeU7Y3fsZGgTU/lqqGfg/0jvM/W/DR8Hni+FEZ0378phtF2q6P27g6ZsPU2c7n7zQir9gRvZuvJVcHF0BzNQRwvFr66qurkIZBa+aedS/jnNbkjMG+fx/gnFrQuS6YaULzfXL0w/BEdYc6SajRYkjojljquDDNdbV7XYdwnD4Fze4LL5CTr2mITp8mJzzZMWMhDbLBpUuw7tyB9egRpG1DJIr44dQU9GYT1qNHiCcmgNVV6I0G9FYL3PMQnjqF4NIlyIcPYX/2GexPP0Vw6dImxVd9dRVgrK9d3igyqGYye25p6QjP7Hjy80V/pOpT94Kym52jHO91wqdPgaQeU/P9ExHp2Y52yPHd2+2s1jodL/Z7c7De4Vjpcox5FH30Y0ktz0aEYRtv0jalBVvDv/m8hVbI8T/8Yg3jOaPvOu6VtCwib2v41ZKPX9cC6IxhvmrhvfO5Zx9AkREuLe1IBHKQaGy9c/yCIMJ1yUn3fciejlOQklLrhaD+8pzGnnh8HGAM5uIiBdtKJRKhPuaMmk+1H4zOjHDM6fSmlY8A0jQzATuZOvQ9xFNT9IdhwL9+HVqzCeE4MKVcF8XTdarhSdKBeLEI4/59RKdOIWIM9p074IUCzCdPwKIIwjDAogjB5cuIp6YQT07C/vxzSMuinvQbW7gckxqa7QS0woUFpXi8jwyzWNl+XudwYWGfzkpxHDEfP6YyqA1jKP/oIxick1KyZUFrt/uETE8SIRf4zu027q+G8Kx1hfve8WI/NgdDLvCzBR+1DketwzFftUYu2jis400zEHjSjCEl0AoFZgosS7/fOO7vZvxNo8W1dgwhAUPTwBiGbk4ZBVqPn+B7d9pY61Lk/b3zW99HGzdfpwvH8HdmjNa8cQz98WNy0HM50pxyXRqbXRdItKfCs2chcjlY9+9D6jqtlTes148jo+ZT7QfH0NpHk7GxsaM+hV0hPC+ry5FJy7ptX18oUAu7NNUnrQkzzSz9h5dK2a6jTFrdiVyONgCEICX8Tmf9GIxBOA4J50URReT5gIiIEIMfHxEKtgbHZFhsR3DM/vo798YN/MXdNv7qXgd/cbfdJ+yj2D2HWUcfcoGnzQhPm9Ezr1uapbFf1zl/8+ZzvV9xfGFhSAKlYrON5b74xexxnstl2VZ97+92odfrWx5fr9dh3b+fiaOOKs1AgAsJz9LQCQUM1j9e7Jd4XTMQ8COJy+M2xlwdL045I7dxO+zjjcZo76oViIHjfjvk+Ne/buEv77XxvTvtZ47ZabT4nXM5zFdtSEgIKY9V6vdhYV29gdv1ECu+wO16OFIlcQeFyOXAOAcDtasD57RGdl1A0xAXi2TQQtA6nTE0fvM30Xr3Xfg3bpyItnSj5lPtBypCr9gTwvOyyLooFtG9dWtn73NdMM7Bk5QfaRhZdF/kchDFItXGt1qUBeA4Wa/6eGKC6od6BiPpuhCaBhYEMFZW1jcXemqLjHodiCLEMzP79fWPhgG6SkEshzaiPIqkarlPWxzT+YNL0wu5wPfutPF5LYCQwHzVxtcuDI48hFzgwVqMVihQcQx1nRUHitbp0CYp531ZT6w3hZEx8HIZxuoq/TuKYNTriKemoLfbYFGErZbdLIoQV6vQggBihGuEC7aGfOKcjXsGvjLff//u1+ZgepxWIFDxdFQ9/dlvUuyIqqdjvmphpcMxlTfw2qyLqXy/EF5vJoZrangSx1Sn7dDmylbp3Gla/9c8/VimfisOmEQzSuRy1NGp1crKVnmhAGNpCdIwwOIY5tISwDlpVyVrYNFo0BierNNTMevw7Nkj/FKKg2R0Z9NjRjxi0Qr/6tX1Gnpgxyk80rYpzT6pvZS6nu0WRnNzWJuYoMVkENCGQSqMt7SE4MIF6jvf49AL1wUzDNgLC4jLZRj1OuTKCtXNS0m7lJxvqq8fJdIIzWTe3OTMGaE/corHw0zIqYVRJ5S4vXJwNfTNQGClw9GJACElbq8EqHecTSmCaWS+FQjUksjEfohsiRNYX6bYGSwIaGzvzWriHPbduxAXL2YPiVIJmu9Dr9chDWO9G0nPRkCmtLwhIiRTkaYR5lmCifslqHiQwoyHxbCON5au4e0zXqaD8MlygKl8/7K4NxOjGQjoGlBxdHxWD7Hmc1RcfdM8sTE9/1imfh8SVhxgvmplmygnZUNL63RgLi4imJuDXq+DF4vQ19YoCJYExiAltaErFsErFQpwWRZEPg/peeAnpAvUIEbNp9oPlEM/JKwMakMxxKQK97uGMQRzcwguX86OE09P09+eBySbBNI0AcuC1HWKBC0tgedyaH71q33OeVwuQwvDrMWdWavBP38eerNJznzq1I8w20V6/E9+OfKLvWHisGro0zIKISU0Bmhb2GgzEGiFAo6hoeJK3Jpyd9dvfgtaH3/8XO9XHGMYo1pLIbKkIJa0ROr+7d8Ctg1EEXihABYEYJYFJgSN33G8Pu4CsO/cAaSEf+NG3/G559EYPeKkNbtpS7mNY/B+CSpauoaCTeOBY8iRU7gf5vGmt93ZoDG/NxOj6lKEfaVLm12pSGGfrs0AEdtRuU7DiP/JL/He+ZOzxmHdLjTfp2CXYZDIXaUC/9o15P/yL8EnJiBtm0qfGIMWBOieO4fuiy8CoKCZ8DwI1wXvFc07YYyaT7UfKId+SKhWq6hvU3d4nOi8+Wb2t/A8hGfObHqNNE2IxKEPz5yB+egRpQ5tiLT7167BWFqCdfcuopkZOJ9/Dum60JaXs573LAypfd2Isl2EpnDrFpoffqjSr/eJ9R7FMXSNwTEOZjPI0jX85oU8GFroRnLLVFrHYKi1Ofw4gmNo+1YGkNqNQrEJKSkalKbTc05p+Lkccm+8gdV792AuLFBaZz5P5U2cQ3getCCgQ+g6ReqTlqFau53VdwKAzOeBJ0+O4tvtO4fhwKWf0fA5ljocE56BovP8auyHxTCPN88qjRisnk4t7wbV3A+zsOoospM1znESBtbbbbAwpPFS12kz1XEgXBdaFJF+VeLoy0SXKh4fz94vcjlI2wb3PPBy+ei+yBFzknyqFOXQDwn6CKeEHwTSMLLe9vH4OA1Mg+otdR0in0d45gxEsUi96wsFsDiGdBxwXYfZbq/XEY0oW0V6WLJgVuwPaQ19moL5gwedA1s05ywdf+dyIYm6sWRBgr7PovZUOkx9PRKUs55/rFB2szuOw4LRvH8f0vP6Fn+biCIIx6Eyp2QxZD14QO1Ez5wBPI9Kn7pdCMuiTdMk1V7kctkmgPA8UlM2TWqZtLBAY3MinnqcRJkOw4FrBiIpuxFY7fJEl9AYGWdxmMeb7TbMe+/73jaBacu7QVorh7UpfFJ4lu0cu4wIzslh5xzCccCCALJQIKfeMBBNT9NamHNIz4OwbfCkth6g+nphWYjOnDkR7em24iT6VCNs9YpjjWnSYGQYkJZFqfZbIPJ5dF57jXYrbZuiRlEE7nlUq5+kJqVpoBlSwnj69IC/iGLU6E3BfB516p1AqbQafvCgM1DBnhaHGh6sRVjxKSqkOhkcLvvdYeCo0MKwX31+QPcPzfepFtO2M+VkyRh4Lkcp9aaJ6NQpNL/0JUjbRnj6dJZ6H545Q4J35TJ1LImiTDMlmpoiVfwooo8+Rg79YXTGKNgadI2hG3NIAI2AY6kTK2dxn6AN881ieFvd96nWykcLPn7woNP3XLopbGgMPNkUHtUxYxTYr24SQ0NaficEpG1DCwIKbrkuRKmEeHw8c/h5LkfBrJ4SWP/GDfBqFfH4eCaipzgZKId+SFheXj7qUxg6RD4PuQsVZGkYVD+UzwPJTmZcLtPjmgb7s8/63xDHFFEa0J5pVGh88MFRn8KxozfCwhgOfNGcLkjytoaVDu9ry2PpGl6ccjDm6bg8bsOP9mfBouxm5wzjgnFQu7hnIZLayhR9bQ1mT39wFobQGw2E09OQtg3GOezbt6k9aD4PXiig/umnVGPveYCmofvSS/R8oYBgfh6rv/u7aH71q4gnJqB1OpnoaTA/j/Ybb1DJVNJeSet2wY5Br+DUgbs55eCtOW9TdDCtr9+rU5dGib901sOpggnP1FB1DUx4Ovx4QOuTIWQUx5vt7vtnjQmHuSl83EltZ6v76DBbzR4GEqDgk5QQpkkResuCNE34Fy6Al0q0LuYc0nGodr6npDRtU3fSOYk+1Whb/jEiv1eRuWNM+/XXKVK0Q6RpUu1QsvgUpVKWhg/DyAbBFBZFkI4DvdkES2o/IQQtYkcE99y5oz6FY8dhR1hSgbxPlwPUupuj8FVPR8XVt+yRvBeU3eycoVowxjG0TgfWvXs7fgsLQ0DKTCwp3QxgUdS3Yaq12+hevYrw8uWs9l3qOrWgKxQQTU3BfvXVTccPzp1D55VXAE2j8VrXEZw/T8fgHLxYRDg3h+j0afp8zqlMamYG+tpadhzj6dNNGQOjwHbR2ufN7uh9/48fd/G1C3nMVyxM5HUUR6in+SiMNxsdxnRcXmxFcMz++94xGDQGrPjxwDFhqMaMEcc9d27b+ygtmXj7rDf66fYAGJA55DLRJRHJeOzfvEnt5wyDyk132F3qJHISfSpVQz8kOI6D5jFQ/d1Xdll3l6Xcex54qQReLAKg2k4AlAYax5C6Dn1tDfrKCqRtZ2n3wZUrYHGctQIZhbp7s1LBcDYEGm2epXy8n6RR+DWfD1RNPoi2Vcpuds4wtQ0zajXqR5yqHO9A7NN69AjRxAQgJaLxcRirqzS2begAwsKQ2n0CWUqntCywIIB/8yaiqSkYU1PA0lLf8YOrVzd/qGlCeB6Mdhvt117LUkK540DXNAjLQuvtt1H+4z+G+egRolOnoHU6VJs/Ygux3gybWjtGvcOzNmXPW1+/8f1CAl+/lB8KW9wNwz7eDKrDzmD9r1toxvjJky5iIWEmm78H1bJQQbbzrPtov7pJDAVSQrgu9GaTauN7xEWzl9g2eLG443bRJ5GT6FMph15xbJBJ/01oGlpvv03/dl3EpRLi6Wk4v/wlOfSaBub7YHEMXipB63azgTONKGmdDvizHPo4pgX1CCvoKwZz2BGWZ0Xhj9WCZQQ5iN9/T0J7jFEbo3w+q1HfFs4hLIui8rqOeGoK1sICRHIsSAkIAa3dppeXSgAShz6JzGvJmLjbcU6YJh2/R5xIui51HNF1+ts0weIYzPchHQcsDGE+fAheqVB5wAikjvZm2ADAjx93canKcbpkPvc4Muj9aizYfwY5jADgRxKTORNrPs+U7X+9HKATkVhp1WPwY4ncgKWCuk77x3HJeNDa7aw0dBAsCLKWc8bKCo2Rur4puCRNE6vf/OZhnLJihFAO/ZCw1pN6qNgb0rapTjP5G6DofOe11yi1vl6Hfe8ezKdPIQ0DwnWpNknXIU0TRr0OFobg5TK0pHXIllH6KIK5uAhpGIinpg7rK26is1EXQLEvHEWE5YVJ2m2vevvTmm47lN0cLTtWZuYc5tOniGZns4dEPk817mGYjXPG8jJ4Pg/pODCWl7PadRbH1IIuifaIYrFPM0TqOoxaDZIxhOfO0fPJ44giGv+S+k1gd/OUdBxKw+/ZCEiF9VJHPTp1CvrqKvRmk8432XjQOh1ozSZtynoeCUQNaU/l3gyboq3j5ws+Pq+HyJka/r1bpecaR45LpHfYx5utHMZetfpISKx1OQyN0u1bocBkzuhzLkMuMg2UwxjHTwKdzz47NveB1mwCmpZlQm1EX1lB+403YD15AskYrVGTktFNDHHniGHgJPpUo3lXHEM0FeXdFwbtfKZpScJ1YdRqCE+fpsEyEd2ThgHuedBaLdpBTZx4+/btdfGpKKKovu9THWsYUtSqJ4Jk3b4NJCrOAKA1GtAaDZiPHx/Y99VOcFuSg2aQ8vFBkDp3f/Owi58v+gf6WSnKbo6WTaJa/uDacRaGWVu4tEsHL5WyCL2xsADz4UOKsne7MGo1UpJnDMbqKmUfFYvknDtOFmln3W5WV691Omj/xm+g/cor2eeKXA7ScSBME8Jxslr73cxT0rZpfOxZjArXheiJ2HdefBHB/Dy0VgvSNKle1HWzziQsiqg8qtXadHzj6dM9iQMeBGmGzXI7hpRA0dbgxwJPW/y5xpHj0C4RGP7xZlAd9kYtlY+XAuRtHRKAZwLnyha+Mr++ERdyge/daeMPf9nAH/6yge/dGd2OGMNEajuHNR8fKIO6LUUR9NVVMN+HcF2EZ85QxuiGoJNid5xEn+rkfeMhpaDaSxw40nUhbBvR7Cyk6yKcmqKFa9LLHpzT7mlSay9cN2uzZN+9C/PhQxi1GsylJUrd71mkaI0GCZj46w6Z3u1S1L9L1YNaswnz0aN9/U7O3Ny+Hk9x+NQ7HCtdjrytHZoisrKbg0XrdNaFNjcQcoGISzgmRQRLMsDE0wfUUi6O+17Lkii5sbwMrdmEyOfhX7iAaGYG+uoq4kqFWhedPo32G2+ABQF4Lof2a69RZFxK8GoVWtLTWCTP6aurlAqvaeClEqLJyb6Ij3RdGhtNkzRIksXRbuYpkQjk9Ubopev21X1K181a3PFEwDQaG6P6fV2nBXBv2n3SSg8AqeRv8RsfNqlD+O65HCqujnYo4BgapvN7X4gfl3aJwGiMN4Mcxl4tFT+SeGXGwf/sWhF//3oJf+dyHqbOUOvEaIccD9ZirHQ5NMagMdaXuq/YO6NgOztm43gG0kUB5zAWFtC9eRMwDPhXr6J7/Tp4LkcBpl10e1IQJ9GnUlaiODEI24bI5RBNT0NfXETntddg370LY3ERwnHApIS0LKojTXovszAEMwxqw9RsIq5WoSfp+PHUFPTVVUrPj2NEU1PQV1bg/OIXiJIsAC1NWwWyzQGFIiXkAj9b8FHrcNQ6HPNVa2TrAxXrGAsLgKYhPHu27/F2yPEXv1xGEAnYxRzePGVjgnMYTR1YWyMHumchwqIIwnGgr67C9H20X34ZwZUr0NptxFNT8G/ehL6yQq2MdJ0ElAwjEwSFlODlMoRpgidicyKJ7seVCvyLF2kzc0AEKDhzBtJ1s/r63SJtO6uXzx4zzU096HmlAlEsIh4bQ/fmTSqP6nQQl8uwHzyg7ILkGObCAoTjgFerWf39sGDpGqYKBn77Yh6dSOB0yUTO2vy7pmnZEZcwdbZlavbzCuopnp+Nqfi91yrdcGkFArUOR8nRUOvE4AIwdIbSCHUhUBw8WTbRxgi9piGuVOCsrYGXy/QSy6KWoIkgnjyB0WbF7lEO/ZDQOQb9eIcdaZqIx8YQV6vovvwytbJL+tZLx6E2ILYN6Xngrgtp29AbDWhSIjh7Fs6dO4jHxyFsG/a9e9nCm/k+/KtXIfJ55H74Q2rNlDrvQmSDcaqwvyXp4nQXu7FhotCvGE2agYAfSVwet1Frx3hxyjmUlEJlNweH1m4jHh+nVHkhMmG4kAv8m89bWH1YB9MAZ3kVhlaAa8S06RfHYEn02f7sMwTnz1Ok2rYhggBS07JaepHLYe23fgswTUQzM5Riv7RE401ad54sHONSCdH0NPwrV+i9jgMmBOJKBeHFi1t+j25PCn7KbuYpadt9bfEAZCn8fa+zLIQzM6TcXK0CABpf/zqVBFgW7AcPqNQJiVhf0okEuj5UDv1GXYTzVWvT8/UOx0+e+Li7EqAdSeQsDReqFt47v1lD4bgIgQGjO95sV7udbrjYhoZOFCGWAq1AwDEZpvMm3j6zWf1esXueZTsjoVsgBOzPP0dcrdJYH0XrGVFSIp6ZgVhc7NvMBUBr0kQYT7E7TqJPpRz6IcH3D6d29iQjCgUE589TmmmlAoAWiDyfJ0de1yEdh6JISX29+eQJGOfovP464pUVxGNj0DwPzq9/nS2aWRxDFAoQtk219YXCeqebVKGUc1qE9u60cg7z0SPIRNU0jYRtJZiykZALrD1ahMvFcE5iimeSLtpbgUDF01H1DmfiDuv1Q/mck4jW7SKcm4N17x6MpSUwISAZXWO75lMZZcRRc3L4g/JV/EdPfgg5OUFvjmMg7cSRRHSkrpNCfaWCeGxs/YPSBWHas1jX6bMMA0jGNaPZhMjl0PzN38zeJh2HMpGSaNBu2M08JQ1jk/POSyUEly5tem3rS1/arGjPGLq3biGanUXhe99LDpq02uMcwjSzDZBhYLuIeursr3Q4FtsxGBiklIDEltH34yIEBoz2eLOVWn3v2G3pDN1IwtAYbENDLOSW6veK3bHRdnp1JQDge3fauF2nsXJ+i82xI4dzykwyTQRnzsC+dy/bvARjiMfGEE1ODhRhFrmcSrnfAyfRpxoyqz+5VNObW3FgiFwO4fx8/2OWRempiZKz8LwsZZWPjSE6dQrBhQvgxSLC06ep3vT0afCxMXLoASBRI03FnEQ+n9V5SsMgldJE5Kk33YoFARjnYEGwnta6MR1rC7J0vzNXRr6+8iQzSIzpMMhfv34on3Nc0Hu0MJ4J54imprI+7tK2waIIxbCLKdmFpWuwRQynnEPb8dAwEqdX12k8iKIsLR6gzCKp6+i8+ur2PdrTKE7i6IfnzmV17L1I0yTF+z3UGO5mnpKGsblPsmFkm6l9aNrgFnW6jnh8nJ5Lx1AAjHNa5KbjJefQGo0dn9tBsF1EPXX2x3IGNAYISPoqDNumZh8LITAcz/EmHbvfOZfDP3yhhPMVE66pQcrtr6lid/TazkZdiXqHY22YdAs4HyjUyTindnSOg+jMmfUMzjiGsCzE4+PovPzywENGs7ObNkYVz+Yk+lRq20dxouFjY+DVKsynTyEsC+HsLITnIZifh/Q8+FevQiZKzWmPZgAIzp4lJdKEVHCq+ZWvgHU68H76U4AxEs7TtPVIUurUMwYtCKjnfRCsR5522Hc5XSA6BsuE1FR95Wii+hUPP1q3S2nqG+q/me/DWFhA1FsrzxhtCBYK6F67Buk4yP/1X0M3TdyamcbppQY+vxfjYTmHqJSD0yyQQyslICW0MITI5aAlGwg8nwfzfUSnTm17jjIRuROpQ3/+fF+Lul6iiQmK/Bwg0jBoQ+F50TQIy4Lm+xCOA833qXzJMLLFs95qQV9dRZhqB6RvbTQobfWAvyuwfUS9N5p7YczG9XH6XbaroQeOj8r9cSUdu0Mu8IXT3jN1ERTPx8YsGAAouTpq3eTvI9xIMRYWoDcakIZBY28PLInQ80QENHs8iiAT0dGBG50Agg1BKIViK5RDPyRESjDt6GCM0u1tG/6NG/TYM3oed15/nf7QddplTXouh3NzMJ88yRz3NJWfcZpwpKbRIlvTSJgqTXvlHCxZ0Fv37m0S09pIukCs1RojX1+pOHz4HoXOTgJ6vU4t23rGAGmaVDaTwjkY59C6XYrAd7sILBvNQKDKJW3uffnL5EgyBmGa0MMQ/MVbqDQa+KL+Ezydn4Tx6jT0Rh6y2wVLotAsihAXi5S1IyVEsQg5oG3bRmTS8z2tWxeeB/+FFwa+tvvKKwPTO5/FbuYp6ThZX/vnxjBgPXiAzrVrsBYWSBW/UMha+rEgGBjFSjdFDsOhB7benNtL+vzGmvzDzODZb47zeHOcrtMw0ms7g0QK3zufw4tTdO8f5UYKC0P4ly/D3FDzz4IAWrMJXqmQmKdlURYV52BxjHi/xkhFHyfRp1KjzpCwurp61KdwopGGsadFn2SMFvu9LZ/SVNA0Qm8Y686ArkNvtWDdvQsA4NUqtW0CKGofRZSOtc1gpK+swGm38O65HMaefK4WEIpd0/7kk6M+haGlrwQmZUMpjLGyAr1WQxRGWMxVENRW8Rd32/j+nSZ++CRAVycdjizjxjRJcT6fh3/1KkzLRHWiCNu1M0G4tM0cOKdojRCArpPGxzM2GOmkDEDTaDx6Bntx5oHdzVMil0N3iw2F3SItC+2XX4Z/6xai8XHoa2uUIdV7XRijiHxvVsKArCcWBNuOrwfFbtPne6ORh9XO8qA4zuPNcbpOw0iv7QwqUbN0DdMFE9MF82jWQUJA63QgLWs90NODdfcu9LU1RFNT1JYOIJ2lMMzKqxT7z0n0qZQXMCSM9YodKQ4daZrge4niaNqmjQBpGFRLn9Tkc9ellHspqQVVowGZPBaeOQP/2rX1tHwhwPP5LLI0CPPpU1hJP/vJ1zcrUStGl5AL1DrxgWsiFLeo1ztRcJ5FeAGsO4e6TqnvrVYWJd/oGMZRjKUQeP/2Gv6spuOHD7tohQJVQ6Jueqh1eN9HpVk6aRs3YduQSfp+95VXstKc9HN4sUhim44D7HBskppGDv0enfWdcFTzVOMrX0HnjTfAy2X4166Rzkm5DGFZmQI+NA3m0tIz2+xZ9+9n4+cwc5xU7o/zeOMYDBoDVvx45K/TMLLRdoZNV0Jrt6lNKWNUemnbJG7KOcwHD8ArlfV2nYmeSVwqwb59G3qr1Ve6qdg/TqJPNRx3hAKa6jN5pIhCgfp+7pYkgtaLNAxKsbdtBBcvUs0U5zTg5/NgiRJ+XCohnpxENDuLeGxsfSOgp352EFLTEIHhL+62cb8plCjeMWGj4M+BXtMhHW+0dhvmw4f7czApt3TuWBDAevAAZuLY6UtLMJaX118Qx9AbDRj1OqnO9wjLhVzgbx918Cd+BfWlBoxqGTLmqDZW0Gn5kIU8gljAj9evX5a1kxyH5/N9jrcwzb5/83KZdDtcl8aK6elnf19dp9KhHUTo98qRzVM9Ks/x1BRW/+7fRXDxIjqvvQZ9bQ0ASJjUcUiTJCXdpEk2VO1f/Qq8XKYNlB5YGPaVVLAwhNZs7vvX2M2G3VEJZh4IQzrePC8hF/jBgw5iIaEzhrfmVKu6fWfIbYclazskG6q8VIIWBNDrdXRfeAHtL3yBMrB6SoKkpiGemADrdDYLhyr2hZPoU528b6xQbMHGRd6O3qPrm1Km0hpWaZoI5+ao73McZymxwvMQnDmD8MyZ7D3R5CQtxBmjSNt24niWhRaMTaJ4itFGpW6SSBAb0OnBWFzctYo5832Yjx8PfE6v17O2avryMrV7AzKnTut2EZdKELZNAmw9i65WK8Cq5kA7P4fAtPC59JA3gbdOmXizGKHrFfDtT5r45x+uZk69NIysxh2gDUTR24rIssBdN3NAheOQ0+954OVy1n9++y/MaOw57j2LGSOFfk2DSDMZXBfccSgKljrmSWYFL5dpgzSOEU9MwL9wIbsOKda9e322Yj18mG327Bd72bAbtmikop90zK64BqQE/HhnXWoUx4gk8yoVI42npkhEVUpEs7O0BszlsnUhAITz8whPnwYsC+IAM6oUJws1SwwJS0tLR30Kij0gHGdT+6d0UZ0O8NK2wYIA3HEQnjqF1ptvwr92Df6VK9l7oqkp8EIBMlU73aZ9nTBNuDkbnsXwV3/6fZXmd0w4zBTbxvvvH9ixnwvO+6LhKUyI/sjrIIToi7Jqvj9YZZ1zSNtG+/XXAcsCi2N0XngB4fnz0NNNA11HPDMDSJkJF0VJdNWVMVAq4rGWQ3mmit957RReujoNff4c3HYLNTOHyZyBNV9kqfcy2cxLne0scyc99aTFm7DtrN0dL5V2Vjvf+xM4zsDfb78Ytnkqvb7c8yAdB9I0SQU/iZAJx0Hn1i3ojQaJDZZKCC5d6tswZWGIOBWryg4s+nRRnpeQCzxYi9EKxYncsBva8eY5OU5lEcPKRts5rLK0TUTRwK4hjHPANLPMqGhmJpuHhONQn/lyuc+h59UqtUNOxi3F/jNsc9VhoFTuh4RisYjGEffRVeye1jvvbF5AGwYN4KlDb5oURfK8Te1MUvj4OFpf+AIq/+JfQORytJCPovVFZc/f0jRhMIZ3Z1zo85eg/c0PwLQthFWkBPP9rF5XMbzsRQl7r3gXL6Lz2WcHdvy9wpIOEFndekLWHWIb9NVVMN9HnLR3Y1FEds95X9Raa7cRTU0huHIFziefQJomguvXYT58CPvzz+nzbBvxxATszz+HFgToFor48eoC5P0HMB0Lb752EWduzOCceQbRdAHxCzcQT07CXViC55m4245RcjSMefS5fdk3APVW70GmonmFAjQhaAypVHa92JOWdaAR+mGbp6RtU31qoQBpGIgnJmh8XF6m39OyEE9NIS6VoLdaVNrkOH0bplq7DV4swlhZWT/uRmc+tcs9EHKB791pY6XD0Qg4gkii4j27vdZxalk3rOPN83KYY/ZJpdd2jrKjgLmwQJpIG/ubS0kZWMmGIC+XIVwXeqdDGUOgqL3YsAYTnkeR+/1o7anYxLDNVYeBGn2GBFvd1COJNM3NCz3G0Pj619F+4w16TRJ1e2a0Le0jbVmIq9Wsjl5fWYF9717f8aVlwRYclYkK7MDvF/fqQet2YW2RdqwYPg4rxdboiQ4PFVJSCmIcb3p82zIUYL2spec9vS0jUzTfRzwxAYCU2NP+v7xczj4n6xmcz0PrdLCUq+JvL7+GoskQdUM0nRxmyzaid78E6DrC+XmIfB7+V76Mb7xzEf/gZgn/+FYZjpFcxw0R+k1f2zRJRLNQAE+c+PDcuWf2nt90HMfZlE6+nwzdPMUYLYyTTgBxpYLWl74EcI64WkX7C18AGIN/+TKMWg0in1/vSpLYBYuizB4AKtUQuVxfGzzr3j2wbXRNtqPe4bhdD7Hqc6z6PIssRlxuGWk8VD2NQ2Box5t9QJVFHCy9tlPvcKx0OfK2duhZLtI0N80lxtOn0Fqtfu0SxhCePk0lVMl85F+7tqmFp3Bd2rQ9QM2Tk8zQzVWHgBqBFIqDQNOyiLpwnB21xetVqY6rVRJWWVujBWe1SsJNCbxQAAsCMM6pRnSD+BfrdGAsLa0LegmxZT2xQjE0SAkYBjnnKUL0OfPOxx9nQmjbHgfk4IJz6PU6Pc45bRok0RJeKCBOIi4ilwMMA8KyqPzF8xCeOQNpmihMV+AUPTR9Ds8ACmODewfzchm2a2O2aK478yCtjfT+Hni6lkWdNnrS7MVO29X1ICzrQFPuhxFeLELkcohnZhBNT0O4LqTjIJqezhz1eGICPJfLxuBgbg5mmpIpJXiqiCwl9NVVdF54YXO7u42bTLtESABgqHoGOqHAd2+38Zd32/jTT5t4sBb2Oe1KT0Oh6CfkAj9b8FHrcHy6HMAxD7HEIY5pPNjg0IMx0nzZ0F0knpnp2yQciGGg/fbbB3CyipOKcuiHhJPYM/GkIB0H0rI2pVxtIlGphmFAFArQV1chTBPNd95BNDUF6/79THk5mpyE5vvofPRR/w6vlKTu3e1Sn1POaWc5CKC1Ws9MW1acDNqffno0HxzHsG/f3vp5xiA2OPQsjvtsXHge9GeMl1qng3h8nFLYu10YtRrAOew7d6CFYXa8eGIii9CDMaprtyx0X3wRwnURXLqEzq1bsAp5/KOXx/HyuRLemLZh5XZXwiJNsz97YOPzlgVp25TS+RxtjOKpqV1vAuyGYZyn4rExyqgolSBKJUDTEFcq69cVgCgWIcrlzEnvvPTSeiZDkpERT0zAWFwEGEPU21VACEjL2hSd2ylVT8d81ULV1VFxNURCQtcYQi5Q73J8uhTi25808L0765H441abfWTjjWLkSW2nGQj4kcTlcRtjro4Xp5zDyYqIY9hpuciAbEzhurRh2+PQR1NTe+uapNg3hnGuOmhUDf2QYBgGoig66tNQHADSsnZWK6VpkKZJyvlJz1L/6lXE09PQ19Yoat9uU1p+uQwAMFwXURhmKfdp7SiwniImHAdatwvhulRXfAJTkRT96Lkc+AG05XoWLIo2Rzk2IB0HWs9kzKKI1OijCCwIto5A96Tla+02ulevwqjVoK+tgZdKtDFgGHQPJIuvcH6+7xBxqQS90chq3KVlwb9xAwDgGBqKYwWYCwto2zb8WOBxg8bsUxsi8ptOzTAgtomch6dP03flfFPXjN0Qnj275/fuhGGcp/zr1zdF08MzZ/pEB8EYgrNn1x9LS6WSDU5h22i+/TYqf/iHlOXQk27PwpDE9/bo0Fu6hvfOU521YzD4MXUn+c7tNlphDF0DNAYstWLUOxzTBe3Y1WYf1XijGH1S20k3uVqBQMXTUfX0Q9GZYFG0rS6JcF0q++kV1Uy6GSmOjmGcqw6a0Z4ljhH551jEKYafuFzuV1HeAmnbFKF3XcTFYlZ3FU9MoHvrFi1cE/EsALDn5vodgDQC39N/WToOKX67bl/avuLk4uykDdpWSAnzwYM9vZXFMd0HvWr0nQ5FRhN4sdgXDWVxDF6pgMUxrNu3s2h2X7bJgBp7UShAOg45ZMmmFs/nN0VTeuGl0rb3aZoG33E8/LOfruC//P4y/svvL+P//dPVvr7zG8nqtrcieV46Tl9kedgYynlqgLZCcOXKJvGq7osvkk5CAvc8WqxLSQ68aSKuVuk1iTAjCwJY9+5Buu6eI/QAYMcRxhEiZ+kY8wzkLB1fnc/hbNmEYzK0Q4lGSCnFaZT+ONVmP9d4ozjRpLaTbnK9fdbDu+eodOYwdCbSDeW+DT0hYD55Qn96Hngut6P1neLwGMq56oAZqpmCMXaXMfZzxthPGWM/HvA8Y4z9PxhjnzHGPmSMvXIU56lQ7JZwbg78GTX0wHoNrHQc8FIJPBmUeLWK4OJFamslJU0wSXp9+hoWhuuL28Txh5QQSSsn6bowHz+mWnqVeq/YK0JQpsgeHByWtIzrdY70lZW+fwvX7bNPFkW0uWXb2eZVmm2SkW4U9J5m0gZO5POUet/pQLoubQhssfgShcK2Whc8l0M0PY2aL7HU4tAZg84YFttx1qJuID1tLBXDgcjlaMw0jPWWU9PT4JVKlo6vN5uIJyYo+jaglSjrdvv0HLRmM7NdY3Exe499506/sCmAnKXjG5cL+Np8HnNFE1fGbfgR1csfWWsuhWKI6d3kOmidCa3dpk29JKuR9c5JYUgljIaB8Nw50lxRDr3iiBkqhz7hPSnlS1LK1wY893cAXEr++30A/69DPbMDpL1B1ExxvAjn5yF3kIIlU1ErTUP7i1/c1LYqVbGWtk1qqnfvkgMkJazPPwfb2KubMVq4Jin3vFIhQb1eZ2irnvecbxLbUxwsh7WQD55DIJFxThHL3mwPIWDtIGrP4hjCtmHfvk3lIUgU3m07U7aXrtsfdRUCMpejdGnDyGrd0zp7vV6H/eAB9f9NbTkRvmNCkJJ9qURlJ7kc1Txu4VzHY2MILlzY8vx5qYRwdhZjno6JvA4uJbiUmMwZWYu6QcgNokmjynGap0QuR1kbPRs44dwcwjNn1mtlOUdw8SLiiQmwKMo0TFinA9bpUH973wfiGFqjAXNhIfu33mhk46xwnD7V/BRL13C6ZCJnaWgEVC/vGOxYKdwDzzfeKE42W9nOQetMmE+fkhZRokOUZe10u9CbTcrWchwqi5yZ2dzOTnGkHKe5aqeMWg393wPwz6SUEsAPGWNlxtiMlPLJUZ/Y8xKqVGgFqJYzrREeVEsrPA96p0OOummC12qQ587Rc8Vi1s8ajFHLrigCL5epX7NtI65WIS0LerOZ1dKbjx6RUvSGtip6qwV9bQ2hbcNcXu4XilLsO4fZYzd+nv6sQlAKexhSax6Qo8663Wf36xYC0nXBPY82i8rlrF0bC0NyxB0HEALGwgI5+lJCWhZa776L8h/8AaRhgOfzJHSXy2XikdH0NKwHD9Zrnk0T0rYRjY+Tc+/7iMfHITeo5vcibRt8G42J8Px5AIAD4H/1UgVfm1+voQeAR40IY56+uZ5+mzT/UeI4zVM8l4PW6SDqSQcXvXX3ug7EMbrXrsFYWUHuRz+icddxoDebYAAQRZCmCfPJE2hBQBoNiSJ2KsjIDYPqaQdkRYVc4AcPOogToby35jz4scwij2s+RzMQGPOGMfayc55rvFGcaLaynf3WmWDdbrYBDM7p/k2cQqnrkIwBug5jeRl6q4VodjabK5QzP3wcp7lqpwybQy8B/BljTAL4r6WU/82G52cB9IaBHiaP9Tn0jLHfB0XwcerUKUwk7SNarRbiOEY5qaMLggCNRiN7XgiBWq2GcrkMM4ng1Ot1OI4DL4muNptNCCFQSiZ+3/fRarUwnogocc5Rr9dRqVRgJKrGtVoNnufBTRa/zWYTUkoUEwfK9324rguZRJfSY1SrVeiJc1er1ZDL5eAku/yNRgOMMRSSWuput4tOp4OxpP1OHMdYWVnpO8by8jLy+Xx2jLW1NWialh2j0+nA931Uk8EpiiKsrq5ibGwMWrJIX1paQrFYzHo8rq6uwjCMrF6l3W4jDENUkjrQMAyxtraG8fFxMMYgpcTy8jJKpRKsZIG7srICy7KQSyIlw3yd2u129hsfxHViX/sauo0GCoXCwOtkvvEG4k8+ga7rKLz7LpzpaQjQjZP78pchikVorRZa/+7fwXn5ZVi2DeviRfBHj8BeeQXO6dMwnzxB/POfIxQCuatXoV26BN5qofnkCYqvvoqUzr/+17Bfew3u5CS0TgeNhQUYxSLspDe2f/8+uO8jd/kyfZfVVXR/+UsUvvhFJBcKjQ8+QO7qVejptf34Y1jVKqxkc8B/8AAiCOBdvEg2t7KC7t27KL78MgBARhGaH36I/PXr0JLr0vroI1hTU7ASe+jevQsIATcROItqNfiPHqFw6xadRhCg9dFHyN+8CS2x2+aHH8KZnYWZXIfu7duApsFNNkfCpSWECwvI37xJx+h20fr4YxRu3QJLbK7xwQdwz52Dmdh657PPoNk2nLk5OsbTpwjrdeSvXyd7abfR/uQT+m7J/dR4/314Fy/CKJXQiQT05Z/i4kQR5XNz8MomxMITrC6tYOalG9AZA2820f70077r1Hj/feQuX4ae2Fj7k0/6r9OjR+Dt9vp1Wlvr7wu9y+vEogjx4iKCjz9eP492G92nT5G/dg1aPg/GOZo/+xmsU6dgTU+DhSVHDjwAAEpKSURBVCE6jx9DlxLWSy9B932ES0vgCwvIv/ceOUn376P9k5+gdP48vDiGKBTQ+fM/h33lCsyLFyE9D3JmBrBtOK+9BvPUKfidDnijAfedd2DMzcEAEH7nO7B+53fIPiYmsLy0hIrvw/3mN6Fdu4bmgwdwHOe5xz3XNTA3Q+PeSqOJb/10GTfPTiIWDNcKOjrNRjbuMcdB6/HjkR/3PM9Ds9k8FvOTbhgw2m10THPg/JR75x0wIdB0HDjVKrzf/m3wahXmBx8gHh+H+Vu/BWNxEWJhAcGPfwzvt3+bxLAYQ/NHP4LzhS/A1HUIx0H7Zz+DVSzCu3q1734yzs7j+vkIQa2Oj3/6a5Reew2TBsPrF9v40Xd+hJffeQln5srQGRvpcU/P5fo2+3rHPYCUzPVcLquXDh4/RtxoIJf8Xvs17nU++2z9GGp+2tX8dFTXyZ6ZwdKf/MnA61Scnsb4c1wnp1SCValA5PMIf/ITIIrgXLoExjnC6WmEn36K3Be/SIGSZhMLto3K+Dicx49hlctY+9Wv+tZqozDuASdjXX7q1Cl0u93sGKM2Pw26Ts+Cya3SbY8AxtislPIRY2wSwL8B8J9IKf+y5/k/AfB/lVL+VfLv7wD4P0kpN9Xbp9y4cUN+61vfOuhTf24mJiawlPbFVSi2wPn5z2E/eIC1b3wD+e99D9VLl/BgbAzlf/kvIQwDza99DcU//VOKNHoerMePsfp7v4f8X/wFui+/jGh6GvYvfwnvF7+A1DQYtRp4Krw3NdX3WcbCAkUyGQPiGPHMTPYc63ZhPn6MsCc9mXU6MJ886XtMsXM2RujfmvPwgwedA4nYF199FY3339/6BQNE5lK0ZhPQNGitVmYzWqMBLQgopd3zYN27R6mKhoFoagr27dsIz5yBUa/DP3cOxtoapKZB63apbrlUgvuLX8C/eBHBtWso/4t/ge6tWzAXFmA+eYKV3/s9iHwepT/5E0jDQPfmTeR/8APEk5MwFhex9ju/A5HLofRHfwQmBBpf/3pfLbz56BHy3/8+Vn/3dw8kUv6oEeG//2gNkzkDi+0Y/+BmCbPF9bR+fXUV5tOn8JOF76hynOYpvV5H+Y/+CM0vf3lTtwMAKP3xHwNCYO3v/T1ojQaKf/ZnaH7ta5SNEgSIZmfBogil/+l/gtR16O02hGWR8KOuUxu8eh3G0hK616/Devhw0xgbcoG/+XgBdSPXd48fhnr3YfLM8Uah2IKDsB1jeRkSyLRb4qkpGAsLYEGAeHwcRq2G4Px5WI8fA1IiOnUKxtISVv/+3wcLQ5S//W0E589DWBb8ZGNGMVwcp7kq5YUXXnh/i3J0AEMWoZdSPkr+v8gY+0MAbwD4y56XPAIw1/Pv08ljI89JTA9R7B7heVlKvrRtxM0m5KlTEKZJ7fE8DzBNhDMzlJpvmhCmCf/6dcTJzqFMUsoY56TozPlg561HWA+GQREWxgAhKK10QysXxvn26daKbUlTCOuJuFqv6M9+p95u10LKWFykhc3U1EDnlwlBImE9NsPiGMJx+mqGo9lZxKUS3I8/hrBtWPfvg5fLEIUCYsbAggDG6mq2CRCdPo3uq6/SMQwDvFgELxRg1OvZeaQaE6JQ6OvoIJIdb6Zp1EZog7Ad4/xAlYjHPB0lR8NiO0bJ0TbV0/NyuU9hfVQ5TvMUL5XAx8ZIs2EAUtezzgTSMCCT9lS9NiRNE9HUFKJTp+C9/36Wcs84R3jmDIILF1D64z9GXK2Sc7ChJMWOI7ynr2Lh7ASKuoCZOO8k/nV8xlLVsk6xV7aynT1venFOonZxTKWIyZoGjEE6DoJz56D7PnilgohzKltMSrsAmoPiSgXh2bNZMEQxfBynuWqnDI1DzxjLAdCklM3k798C8E82vOx/BPAfM8b+OwBvAlg7DvXzAKVvKBTPQlpW5rwIx0H788+Ba9eoz3XyeFwuIzpzBuYHHyCqVMjB7+lPnUaR0v6perMJrd2G9eABwrm5/g9MJjup6wDnMBcXoXU61Kfb6B8+mBCQhkEbBNv0bVVsz88XfXRCCcdkcMyDEf1pf/rpts/HExNgYTjYARaCFjjpmJUoAfNCAUatBrPZBHQdrTffhLG6Cvz855C2DQEgmpggp97zYC4tQfN98EIB4fx8FiWVSdtG4XkQhQKiajUTsROWBWgaOWOVCrRGg+w+sUWpaVnXh77vUy4faI92x9Dwj2+VUevwwTX0x4RjNU/pOvz5efCtxEpNEyK1q6Sl3aD7oZ2UGDm//CWNfamGSSKEJzwPMhHQwoZNTxYEYPkcxhwNzi9/heb5eTRgZv3qj0uE/lnjjUKxFYNs53n0ZlgYklBwp0OCrI4DrdUCL5VIOLhaRTQxQWn4SWtLFgR9Qqr+lSukTaQ6lwwtx2qu2iFD49ADmALwh0mdgAHgn0sp/xVj7D8AACnlPwXwpwC+AeAzAB0A/+sjOtd9Z3x8HMuJ6rNCsRXpBARQ6678u+9iLXk8XWy23n0XANB+7bVM+K7vGJYFLQjIedd1aN1u1nMZoHYtWX9m04QWBOCOk0XlhedlaaV9qdmcU9/v9DnFrtkYlX/ztAtTZ/u+sN8yjTGKIGwb8cTElqr1jHPKBEkwlpagNxqIZmehN5sILl6klj6mSRFLISA8DxqA1pe+lNmk3mySrWy00URQLHWGWl/6UmZjmdowgO716yh+5zsIehx1aZoD286JYhF+Um96UDiGhtni6Dtf23Hc5in/hRe2fE5o2nqXEdPMHPctX5/cE3oSUeT5fGaPwrazVovSNKG1WhCuS2Uqngdwjsiy8cPPV7Gse7QxlNORt7QDFcc8LFTKvWKvDLKdeodjpcsx5hloBWJX2WssCVBocQxRKoGXSrDv3oU/NYXgyhXwfB5BHFO703IZkBL2p59SsCIh2hj4UAwdx22u2glD49BLKW8DeHHA4/+0528J4D86zPM6LHYieKBQSNfN1O+l62ZReWmam1rc8UTgYyO8VEI8NkaRI9OEtrYGzXEgkzZgWY/xxHkHSHHfqNepxZMQ1LYlUSNPo/FMCOrXmvRtVeyeja14qp6+q8W8sbAA6TjU4u0ZaI3Gps4GWqIEz5NNGwC0adNznZEqAUtJmziaRtHLRGm+9fbb0DodequuU/9eXadevT12IZIWjIPaeQUXL2aOeW9KdK+NR7Oz6N66Bb9HsyE8cwZRItKj2H9O1DyVtlPcIcLzyGkPAupdn4zTolikzSnXhVWrQX/yBLxYhN5o0ManbYPFMZrMQtiNYJc1+HEERzez/trHKf1eoXgeQi7wswUftQ5HrcMxX7V2l73GOUQ+D71ep83rahXez39OJV5JWVR0+vT66xmjUi9jaNwlxQ44UXNVgrLQIWGYxAkVwwtPdpQBUKu5QgFI2iXtePGp62h89auApsF4+hRauQwmBKVQJ5F5JgQ5/bZNx3YcSlVL06WXlylSz/l6NF4IcNum2n3FnnjuVjxC9PeHT5GS2rs5DjnIUpKAoeP0pRGnpRiyp82W1mzCWF2FtKzMWZauS9kd7TbimRkw30dw7hz8ixchTTOzUWkYkIyR07/B0Za2DWFZmzaiAGyZHi8sizYIAEDT0Hnllb7n/WvXdvY77SN+LI59qn3KSZqnpK5DbFFfPwiez0O6Lpq/+Zt9j3dv3oTI5RBXKvA+/BD+hQvovvACCt//PhDHZNNRBKfoorDagvfwLoruOHxuIm9p+95fW6EYZZqBgB9JXB63UWvHeHHK2dU8yTgH9zyYuk5lMZUKrXEGlGplGIYKUowYJ2muSlEO/ZBw0lJDFM8Pr1axkKTJS9seGOncit7oUZSm1rdasO/dy9JEo+lp6i2ey0GaJjn0joNochL2p59SxDZRiaWTkBShP4G1S/vJcwliGQZFzjegdTqArkNvNBC7Lpo//CGMpD5QWhaY71OtIOfk0PcsXtL+2lqrBZZE9GXSjktvNkmZPml9NPB8kgh+56WX+p6Stt2nCbETpGVRH/khwY8F/vmHq1jzBUoO1dEfZ6f+JM1TcpeL+HB+ngS2NhAl3UFEqQRpmvBfeAHxzAzichl6owFeLsN88gSmoeP1WQ9BLsbLUx7aTu7Y1NCrdHvFXtloO2kWWysQqHg6qt7OyvtYtwtzaSnTtECSHcYLBaqH32bzTuq6cuhHjJM0V6WM/kxxTCjtIEVWodhIajfSsjJF5t0Qj48jvHABnddfBxIFcRbH4Lkc4rExan+XpIxqiUMfT03RBJjUR6e190CioK/YGiG2rE3fE70bKsBAZx4g8S3es+GTu3SJhIGSaL7eaJDTzzmVcpjm+rESVXuRz2dp+KlDz6JoU9p+3+noOpAshjZG4rOoyC7sVnrewIj+UVHrcKz5ApM5A2s+ReqPMydpnpKOsyvRq2eNwcLzKMMqKWOKx8cRTU+vd4fQNJg6Q9E14RkMY55xLJx5AFmPcYVit2y0nTSL7e2z3q70JbRul+bLOAb3vCzzUHge4kpl24CIsCwqN1SMDCdprko5HrPFMcA6oHZKiuNNajfxxAR4ofBcxxKWBem6kIYB/+ZNxJOT9N/YGIndhWHm4PNSCbxQgNbtwrp/P3MseVJbrT1vmyLOYRyzHqIAKAqeiBDuGM6hNRoDn7I//ZRKJeJ4vcWglDAeP4bx9On658Zxn+NtJK3i9NVV6MvL6y0J0SOwmEYbE8Vu3uPQI2njhTgeKEKXoesU3Rjg6EjDQFyp7Px3ABCePo3w3LldvWe/8GOBR40IfryeIfCsdnXHjZM0T8XVKpU07RPC8xAXi5kuSTQ7i/D8eRpbEzHKtFMI25CFYt2+3bdxOmro+/g7Kk4Wme1wnpWBWTqVojQDgZAPyNhK2qduhJdK5NibJm1SOw7AGNqvv77tPMbHxxFcufLc30VxeJykuSpFpdwrFMeANK3zeZC2DRFF0KRENDFBImenTgEAtCiCZIxqShlD86tfhff++9DX1hBPTEDzfYAxiFwOmu9Dr9cRT0/TMbdqCwWs92UWok9Mz1heBkvF2I5Rb3sWhvQbcr6p7d9WmIuL0FdX4Q+IhItSCVqrRdehXM6ccJZEIvpem8+vO+mJsJ3UdfBqFebjx+R0M0YlF8nGTrowimZmoDWbMBcW+vq+i2Jxe4cetFEkBkyuPJ9HeObMjn6DjCMSutkqtX6n7epOUp39cWG/laylbaP76qtZFD/VlGDdLrQogu94iBfq8GwDRq9DLyXpVfg+eE/aLwtDmE+eIJqZGdxeUqE4RhiLixRQqFa3b1snBMwnTwDLQjQ9nT3GOEdcqcBYWspao6b3zXZZZgrFqKBWFkPCysrKUZ+CYgTZT7vpFcDbuEDkiYJzn0p58nc0NZWpmouk3l7kcjCWl2E+fLjl57EwhP3rXwNRBH1lhSL9aeSaMYpYbbHTPqqwMIR0XXK4dwrnW9aZS02jCLhhQOt0sv+LUmlz1wPPI3G8tTV0fvIT8EIB8cQEOi++iHhqijQRkgghDAP+5cswFxYQT0yge+sWwnPnYKyswL90CaJQQPfKFTS++tVnOhO9LRX7HnfdkWn/05taX+9wfLwYZJF6aldnwjG0gVH8dDPgv/9oDf/8w9W+50YNNU89H/H4+OYHTRNRxPFvH4X4fp3hrxdiRNH6ZhyLIvCe8pgUvdFAePo09BG4Ju1PPjnqU1CMKL22k2auNAOBTsBRNpF1gshe4/uITp1CXCyCJesS89Ej6GtrWa95aRhUHqj6yB9bTuJcpRz6IeEkpoconp/9tBuRRNNFobApKi48L2tzl8EYeKmE4Pz5zBFP2zNJ16Wa0UplU6RYr9Xo9XGMeGoKxsoKGOeIpqepf3nPZ7IN7x1m7E8/zVICt4LFMTm3W7zOevAA5uPH/Q8mooWQkloKpggBJGmD0jCg+T4541JS+UT6mWFImyyFAlgcw3z8GMbYGKKZGbTfegt8bAzNL30JPJ+HlrwWAILLl7H227+N5jvv0Psdh0QRk5Y+fHycru8zkI6z42yEYSVNrX/SjPCoEeG7d1qbnPNex/2f/XQFt+tBFplf8wWqro4njRiPG6O7SaXmqf1HGga6QYw1bsAuFdCUOjrB+oZfugm4aczgPOsG0TcuAKTVce/eQZ/6jjFUBFSxRzLbSTacARLGm2nXUPr8V/BMiZIIYCwuwlhagvn4MaLpafhXrkBP1hNpthlPuvRIXQfP5UgrRnEsOYlzlXLoh4ScEtxQ7IH9tBtpWYjHxxEMipoaBvjYWJ9Dz6REXCqBF4uZQy91HdH4OImhMYZ4YgL2nTvrUaQoIgc+UVSPy2XaPIhjxGNjVN8GAFKCl8uj49BznvVl3xbGSHhw0Os4B3fdrA1gyAVqnRgxY4CmQWu1+uriwTlE0iJOmiYp1KeLlXIZDNRrXq/X0bl1izYSOIc0DFhnz0Ja1np7uUTtt7feXVoW+Ph41n9eWhbpJ+xycS56vtOokqbWf2U+j9mSiZm8uUkEr9dx/+kTH/+/n1NEPmcx5CyGv3nYwaNmhO/cbo9slF7NU/uPNE14jgnHM/FYWuCGCavndmFhCJ7PkzPTOx4ylpVEGYuLVGPPOYynT2HU65TdNCQZTnZyngrFbumznWSdYeka3pixceVMBV+pCni1ZTDOoTcaiE6fprVKLgcIQfozmgYk85fI5QBNg3/jBni1ekTfSnHQnMS5Sjn0CoUCALIWLluJvwTnz/cpvXavXkXzy18mIb2e+mv/5k0Sm+EcwZkzVGOfpL5pvo+4XAYLAnJACwX4589TfejYWHIiVDcfF4swnjzpE9hjYfj8gnsHgRDU/m07hz4RrOO53MDXsTCkWj7GEHKB791p4zu3W/jh4xARGLROhxzwZJHOhMh6votEmT6anQV0HbxYBIsi6M0mRC6H8OxZ2khIov0scex78a9cQVypbKnsLW2bBBJ30ZsbILsa9Qg9QE799UkbVVffJILnxwJBLJC3NDxco+tzukhOfzuU+Np8HrNFE2+e9tAKj78avmLnCMeB5lh490oZPJdDqNGGUBjFsH/1K7AwpHp7w1jP3klELIXrIq5WEZ45A63RAAsC0jFpt+n/G9L0FYqRZYOQrGFZKFQLsP0uZRDaNsK5OTS//GXqHmHbpDOxuEj3SlJKGM3NrWcbHpEmi0JxEIz+KuuY0OpJNVYodsp+2k109izkNgJ0m9TFe5y0eHycnH3DAK9UqOZb0xCdOoUOgNyPfwxg3aE31tZIZM9xEE9Ogt+9izh16JOacZmk/2utFrXSq1SgtVrQut19VZ/eDxjnmUO/Ub9eX1nJIvO8WgWvVGAMqO9iUYSoWgVrt9FYWMWdGgfTdLBGjCsTEuMGskW6SJxy7roUjZcyK1tI0+ulriOenET7tddIlV7T6PpqGoLPPoN8/fW+z+fj42h8/etZRH4jIpdD+803d/3bhHNzzxTOGxUGieD1CublLIa/f72Av7rfRb3Le5x+HTMFY8Njo4eap/Yf4TiAZaEDE8vlSZRtDd1frSBYqMErlylCX62i8/LLJES6sgKRy2UCpf4LLwBxjPwPfkAbhZqWjQ1at0uv6x3X4xjOr38N//LlLe/1/cZ/9OhQPkdx/OiznV4HXEpIx4HW6VD3CNdF+4tfzDakhW1nZYHSMLLss+7Nm4f8DRRHwUmcq5RDPyTEo5JarBgq9tNutlWjfwb+1au0cEyxLEDTKII8Nkat1JaWACkRT0xQSmjq0FerCC5coPR7JHXmtg0kqrTWo0dAswleqdBzQxjtTR36QSn3er0OGAbichnd69ehNZt9EXq9XgcvFqGFIXixCGN1Fd792/ACUqFvuAUIUwcERzw2Rr+HZUFfXUVcKiE6fRrR9DSiyUlavKTteCwL0cTEuoKvrmfXRLRagwWBnrHA30sPeD5ICGyEIRG8dQepVzBvsR2j6Bj4X760Wfl+J2r4w46apw4Aw4CwbZRtBjY1jttPON4RPnJuGTznwXzyBMKyEJ85A+9HP4KxtIQoycIBQNojSVvLtIxJr9XAPQ/2/ftZORNA3Uq0tTVE09PQWy2KWm4huLmf8I01/grFDuHtdl9b1b7nXBfB7CxgWZBJhmCKdBwqJSsWIXUdWhAM5dpBcTCcxLlqNFcVx5By4swoFLthWOwmnpzsi5oLy6K6aV2naHKi1Lz6zW9S+jdjmagbdB3dl16i6H4+T1GlRHyt+8ILJMbWG+E9oDQ5rd3Oej1b9+5Rv3gALAhgpWr9W/WPT9LfB6XSi0IB7VdeQeO3fxvR7CwtoHsErvRGg7QDOIfM5yHyeRjjZZy2OKZlF9atqygVKMoWj4+DRRGMtTVo3S6kbUNaFqTnkWK8pmXteLjrQiQ18gCy6Lw0TTivvDLyde3DwqBe9L3K9ymDHhs1hmW8OW4Ix4HDY/zjW2V880YFr46biG/eQDwxQZHF5D6HbdPmX6fTN96mYpjgnBz9pNNIcOYMwBiMlRUY9Tq0ZhOd119HODsLI2mHeRjkLl8+lM9RHD9yly/T3LhxvkqyU7qvvorw7FlEG1ugahrisTHEExOUQbhR1FdxrDmJc5XarlIoFPuONM1MQVbaNmAYiE6dojR6AAwg53LDjnk0Owvvgw8Qzs5SvdupU+ClEvW5T53grZzqvgNFu25Jo6+tkTCgbUMyRhFz1yUnP47BwhDWvXsILl2i16+sAJoG7nmkB2BZ0DdGopJz9a9fXxeX2/CdpWFk7fm456FrO/jxqg5NCLiGhq++eRbGTxYgpE3Rdimpj/wWCxTheZlYXl/WhK5TFCPJntjYyUCxNzam4QPAo0bUF4lXfegV2yFcl5x6Q0OuZENz7fVNTNOESBSb41IJzPdhLSyQUF5KMg4wzrN0/PDMGUjbRuHP/3z9dYwhrlaBOFYbeoqhRms0IBIbZ0LQ/Llhw1xYVpZWPwj/+nXK/EvXDMrmFccY5dAPCUESGVQodsOw2o00TSBN5UxaxKRpn71p2xud23hqCiwI1l+j6wguXIDz6afrk7mmZcJ5G9GXlymttNHYUtxvy3PuaYuDHic7TfPX2m1ykJPPZlEEFgQwnj6lSFrSWg6cQ282wctlII7pPb0LiV4nPK29D0NIwwAvlbCqe3iUH8MVv4NmyNE0HAjThAb0KcyLZONhI51XXoH0PAQXL9I5pGgapfcaBqK1NWBqale/j2Jr0jT83nr6kkOOPoBNj42qUz+s482o03rnnSzzSOo6ZNIikklJ5TPJmBHOzcFYXgZ78KAva0kaBr1fStqUTEtvNghYMikpwp+I5qWf6Xz8MaLp6QNT/Y7X1g7kuIrji7mwgNA0Ea+tUUlbMocy3yehO2xeP2wkmp4+8PNUDCcnca4azVXFMaSR1MApFLthWO1GWlZf9DiamFjfRU/SwlkUbXboq1WE5871Oa7+jRsQ+XzWwk4aRva31mj0tXJinFP6eupcD4LzzX2bgWxBDCn7nHsWx+TghyGdR08rKJZkAmQ19ADMxUVoiSCLFoabogei5zunfen1VgvRzAxgGHCvzqN29QbWYkAr5FAt0oJeJGm3vFSCPz8PadsUudhAutCPJyc3RfBlUuLQuX178G+jeC566+nTtnaDHhtVhnW8GXk0LXOufclQEwa6pg1hWX2bcsHly4hmZ8E9r799JGOUEZV0r+CVSrYpkHXXKBbRuXaNBDJdN9MsQRSBl0oDx5KtMB8/hl6r7fj1nc8+2/FrFYqsa0wUofPrX8NYWqJ5H5RJF05Pk/isSqFXbMFJnKuUQz8kTExMHPUpKEaQYbUbaVlZyj0AdF5/fV2cDSBFfM4HOpyNr38d4fnzfY8Lx8nq03k+n0XrjXp9vb4doEUx5xSZ6hVF6XHC9UYDRr0++MST90tdp4VwFJGDbxhZtKzPoQdFylkUZaKCUtPo7yiC1mohnJ3t/449UbNekb9oZgYAYLs2/uGrk7j2xWt4/dYsHIPq3tOshc6LL8K/fp1UfHeZQihsG9JxUHjrrV29T7EzBtXTD3psVBnW8ea44McC3/q4ie8vCvx/f+2jY7uINvzm0rapk8iGTh/StqEJAWkY6L70Em0kpuMGY2j81m/Bv3ULAKg96dWr4MUizOVlSsOXEsz3wbpdWPfvb3ueWrMJc3l5x9+r+OqrO36tQsHiGMLzoIUhSi++iGhqCv6NG8mTDPH0NNm2SqFXbMFJnKtUyr1Codh/kihQxsaJV9ch8vkdK+sL14WxuAhhWRCeB6Neh0SS2r8h9V6aJoTjwHr8GNHEBKTnwb57N6spZVGU1aRuhMUxqUoXCoAQMJaWoLfbiMfGSEG6WiWV+SSaJXUdwnGgdzr0XaQEdB3x+Djse/cQl8skVtf7XdJyAilJLLBcBi8W+yL5jqFBf/EqkGQSyFRkEECcOP6td98dmHK/HWkarlL7PRgGtbUDjofCveLgqXU4VmIN1/MOVkOGJc2FtaHNFs/nEVy8uEkcVCSdQTbe292rV2F/9lnfGCxtG+HZs9CaTVgPH4JfuACjXodRq5FeyTN0SmSiKr6JLUqhFIpeWLfbvz7YSBxD2Da0bhcsDBHMzyNKu6VIiWhyEvadO2oeUyh6UCPvkCB2ke6mUKQMq91IXQffpsUZLxQQzM/vePEnkp7KvFCg9NAgoMi5adKk3vM7SJtSVVkUZYvTXuE5SDlYKV9KsCCAFobrmQO6To56ojTNq1WwIIB99y59tmVRGnscZ2UB3PMQj41BuC4av/VbWSp+RnrMOAYLAsSVCn2v3hRaALxUQnTqFH3/AfWw0jSBXS5o0jZVQkU2ngs/FnjUiODHm++/46pwDwzveHNcGPN05HMW/vLqF7bM5hD5PPxr1za/OUmv3+jkBJcuofXeewM/Lzp1CtHUFKKJCWjdLuJKBTI9xoZrra+uUutRJMKbnrfpNfZnn/VlQ62ftLIbBcHCEPa9e9u/Jo5pfhMCiCJEU1OArtMGeKEAUSyCJ/OyQjGIkzhXqe2tIaG2i3o0hSJlWO0mLpcpYrQF3Zdf3tXxUodelEoI5+fhfvwx1bSnaeec0+aAlFnbttTBZlEE6ThZ3X3mzA9Qwpe6DpHLgRcK0FdXaeHquhTZT1pBab6P4Nw5CNuGsbxMmwVCQORy5Czn8+DVKjo3bmzZ41k4Dqz79xFNTyO4cAHx5OS29YDSsvalX3Q8MQFeKKC2uAhsyBxQ7IxBwnej7qjvlGEdb44LW2V47ARhmrTJuHEcSUuABsArFbTefps2SDmncRI0PmntNjn5ExMAY2BhuP7GpFsGi6L1cUlKwDCghWFfuRUAND74YMffQ3HM4Zyy1LbpRMPiGPHYGIzlZSzX6xBzc/R6TaPuLZ6HjirjUGzDSZyrlEM/JJTLZaweUk9YxfFhWO1Geh7toG/FLlPFU6E3XixCJIJQmu9T6zbGoLfbWRunuFiEKBaht9tgYUgp9q677tADgJSw79xBePYsLUg5p40ByyKHvlikHs6aRs58GIKFIaKpKax94xvg5TKkZaHw3e9CGgaE44Dn8+ClEng+T/XwSWr8IHilgs7EBLovvEAL7t4WVAMIk3N5XoKLFwEMr92MAr0id4vtGLUOx2zxZDj0ym4OnrRjwm6Rmobw9OntU5k3whh4pQJjeZlKhUolWIZBm5X1OnixSB04ks3SbNxO1fd7o2Bx3K8x0pN+n7t6Fe1PPtn1d1IcP1iicZNu/Oirq9A6nSwKDyQO/eQk4vFxuK+/jm6jkbVd5ZUKABxYRwbF8eAkzlXKoR8STKXWqdgDJ8VueLlMO/OJYy9cF3qjAVGtApoG484dMN+HsCwEly6BxTGliNbrmUNv374NbW0NolzOhO+MWo2c8UKB0vQNgzYEXBfdF1+kRamuw/3Zz8CS/u3x5GR2XuHsbPZZ0nEQl0p94n9b0XnllV1tauxqkb4DTordHAS7Fbk7Tj3old0ML92XX97zpp80DNqYLBYhbZv+nfSsN1ZXYSwukmp+Go1nDMLzoDcaSKvtWdKik0URwDnszz5DeO4cpG1D72mxpziBCEHzHWOZQ8+CAMjlqOysVIL14AEgBMJz56grQ6GAeHoaxdTmNI1s9Bmb3woFcDLnKuXQKxSKoUfaNqLp6UxQTrhuFqEHkhTRpL4umpujqJJpovhv/y3Y2hqCCxdICGp2Fv7Nm8j/zd+QKnSzmaXMp7XlwdWrpMLPWBYxEI4DDBDSC65cgfXgAanuAohOn9621CBjlxkKiuFhN2nRJzk9X3HIPEc9sUw0QkQuRzobhgGYJqLZWVgPHqw7YLZNzlkSxdd7IvRp604WRSQgOjEBfWUlGxsVJxf7s88gCgXKXOMcIp+HsbJCTyZRd+vhQ4RnzkBfW4PUNMRjY5uOI113S0FbheKko1YWQ0J9qzZaCsU2nCS76bz2WpZuJ5KdfeG6Wc28TKJGANWc83IZUtcRnD+P8PRp8Hwe7S9+EdHsLESihJ/W3TPOKbp/8SLiahVyQ7lAPD6OeGpq4HlFY2PwL1+mv0+dAh+wEBk2TpLd7CepGB6AHYncHace9ICym+OKNAwS3rRt8HwewnXBHQdxuUxaJcXievQ/GSulaUJvtaA1mwASIbPU2UrT7ZP3tD7++Ci+lmJYMAxonQ6AJOXe8/o2tePxcRKBnZ2FsbJCYrBJhLV3zEnbrioUz+IkzlUqQj8kOI6DdtKiSqHYKSfJbnqFnYTr0kIzUVrmpRK6N270tX5LhfE6L71EDn4+n6XsS9MkRehkYao1GuDFIqX7DWA7J/2ZegFDyEmym/1iL9H249SDHlB2c1yRhpGNhbxSgTQMyngaG0M0NwepadDW1rLNT2nblEq/tkZCooUCWBwjqlSg1+skEmpZ0IMAAGBVq/AfPTrib6k4KrjjgDFGGz1CUFvY3uerVcQTEyTAGEWIerI6eseczuuv983xCsVWnMS5SkXohwRvxBwCxXBwUu1GpuJ1+TykbSOuVhHNzfXVr0vTpLr7pCY+uHBhPYXeNGkh6roILl2CKBQQp31uTwAn1W6eh71E29P0/H9ws3Qs0u2V3RxTkhR6aVmUCVUuk8goY2h87WsILl/O1POtO3eApEQJAEVaOQfzffDxcfByGVq7TbXOjAFRBEul3Z9sdJ0EFoOA9Bc2aCrElQraX/gCdZXZoEPTO+YoZ16xU07iXKUi9AqFYuSQlpX1oxWJuvImGEPrrbeyNNDgypX152wbEoBgDN2bN0ltXqHYhr1G2/eqWq5QHBqMIZ6aysZKaduIk/ImMEYp9rZN6uNTU4jHxtZb5EkJ8+lT6jhiWQjOn0fh3/07BGfOQFgW7Nu3wV5//Qi/nOJIkSSbGM7Owr59G8B61xpwDhgGkLSLZVGEOOkUo1Aodody6IeEZlKHplDshpNqN9KyEI+P0wLUsrZMed+q3k6YJqTjQAvDEylQd1Lt5nnYbY/w46Run6Ls5vjSffHF7O9oehro0QxJM6JYpwM+Po7Oa6/BfPiQ6u49D/HEBNqvvgroOszHj6me3jQhcznwahX+p58exVdSDAOcQ9g24vFxOL/6FW0QmSaEZUELAvCeOVqaJrovvtjX1UWNOYq9cBLtRjn0Q4Lo7eeqUOyQk2o3vFhE96WX9vx+6TjgpRL8bXrFH2dOqt08LzuNth9XdXtlNyeEpMVYirBt8EIBehyDp/XPSd1959VXqfY5ScmXpgnJ2Lpuia7DvncPsWmCJ1FY6boDN1L1tTXKBtjnNp2KIyAZKxjnNN8WCuvXPNns0dfWEG3Qp4lOndpwGDXmKHbPSbSb0V9hHBNKqjZIsQdOrN1o2nPV06U97eVOWswdQ06s3RwSab190dZwuxbiTj046lPaF5TdnEyk56H92muQtg2e1Denre6iiYmsvh5IBEd1HdI0EZw/j+jsWZjvvgu92YSxsgJjZQXmgwcwFhY2fY6xtATryZND+16Kg8NYXoaxvAwWx9SNpljMWs4J1wX3PLAogn/16rbHUWOOYi+cRLtREXqFQnHi2ErNXqHYD8Y8HbYB/NvPWxAS+Kc/XsH/5Ssmyo6achUjimlmLe2AxKG3rCwynyINg54zTcTT04g5R5S0xYOU4Pk8wnPnYNTr0NfWso1Z6949iuImNdf6ysp6qn8YwlhYQDQ3d7jfWdGPEHTNUn2FHoynT8HLZTAhIA2DriNjmUMPxhDOzYEl3WW6L72E7ssv93WvUSgUe0dF6IcE3/eP+hQUI4iyG8VeUHZzsDiGhlemXTiGhrNlE51Q4HY9OurTem6U3ZxsorNnwctlAOS4DxIvy8TyUkdf19E1DFLGN02033oL/pUr8C9eBEvtiXMI10VcLmdp2VqzCX1lBRACzPfBTmAK7bDBggDG8vLg56SE1mzCfPAA1r17dB2lBAvDbNPGv3YN3Rs3AJAw3k6ceTXmKPbCSbQb5dAPCa1W66hPQTGCKLtR7AVlNwfP1UkbZUfDSpcjb2mYr5rPftOQo+zmZBNNT2dCo9J1B0bMs572+noXiEa3C5a8P56YgHQcUjpPnHfGOUQ+D//WrcwRlI6DcG4OWrsNLQiydG3F0cGEgNQGuA1RBGHb9LzjQCSlbNI0wYIAPKmTl563a30ENeYo9sJJtBvl0A8J4yeoB7Zi/1B2o9gLym4OnrJj4L/4yiT+wzfG8F98ZfJYpNsru1GkSNNEMD+/+YlEwbzX8RufmYHwvD7BM+F5WXo94pjeYxhgvg/nl7+EcF2E589DX12F3mhQ1J/zXZ8nCwIYi4u7fp9iAEIAup4J3qVovo9oYoIU7F0XIp+n+vgLFyjz4jnqmdWYo9gLJ9FulEOvUCgUCsUBUHYMvHLKPRbOvEKxU4TrUn/xHsLp6fXe9qBOI6mTzjiHdF1IXQfjHLxUAi+VEM7MoP3WW+T86zqMpSUg2l3pitbpUHtSxXPDkrKJQQ59PDlJtfOc03XWdfg3bqD57rubdBYUCsX+oxz6IYHvYedZoVB2o9gLym4Ue0HZjWIniFyuL0LPOUfn9dchNkRqebEIFoaUcu84lKbPGHi5THXXqVL+xASE50HrdKA3Grs6FxZFEMqh3D2cw759e9Nj0rLANo4DQkB6HoTjgAmBaGYGwnEAwwB/zkipGnMUe+Ek2o1y6IeEer1+1KegGEGU3Sj2grIbxV5QdqPYCXxsjBy6hHq9DgyovRa5HLQgAPN9iuqbJqSmIZqeRnDxIr1I09D86lfBi0VK5Y7j5M2bRfKM5WUSYguC9XT+RG09+7diR7AwpBKHnt85i9Anj7MgacfJGKRpQiRZFrxSQVyt7st5qDFHsRdOot0oh35IqAxoA6JQPAtlN4q9oOxGsReU3Sh2gn/1KmSPgvlWdiM8D8biIvS1tfUIva4jrlRINC8lrc3uOab961/3p9/HMfSVFbAogvXgAVi3m71XGgaQbASwIBi4GaDYgJQQnrfutAuRdSpgnMNYXoZ15072cmEYdH1ME/HY2DP7y+8UNeYo9sJJtBvl0A8JhqFqLBW7R9mNYi8ou1HsBWU3ir2wld3wfJ7S7YtFaneX9K+XA1LkhetS6r3jkCOv6+vRegBatwteKIDFMYnrpSm3UkLadvZa8+lTaCdQAXu3MCGozMH3YSwswFxYoN9S16mFoKZBlMvZRok0zXWFe8NAPDm5L+ehxhzFXjiJdqMceoVCoVAoFArFoSJtG8J1qZaec0DXqeXdgBZ1Ip9HPDEBXqlAb7chXLffofd9cuijCNA0Ol5yzLhUyl4rNU31tN8JQlBNvO+T827bVEOfCN9BCMTlctaXXloWpdyr9oIKxZGgHPohoVarHfUpKEYQZTeKvaDsRrEXlN0o9sJWdiNtm9rZTU6CVypZav2gCH00O4twfh7x2Bi0Vov6nvc49JASolAAC8OszltrtxGeOtVfe69pKuV+BzDOafODc2ohePo09FaLnPwk+yG4dAm8UqHXphH6XfaZfxZqzFHshZNoN8qhHxK8ntowhWKnKLtR7AVlN4q9oOxGsRe2shtpWRCeh84rr5CqPaiufpBDn8KLRWhBAOm6YFEE89GjrM47npgAC0OIpM5b63YRzs1B5HLrDn3SGk8xgF7hQCEgc7msA0E8M0NOu21DX12F1m6D5/OIZmcpam8YJIyXz+/rKakxR7EXTqLdKId+SHD3eVdTcTJQdqPYC8puFHtB2Y1iL2xlN8K2SQ1d17PHgosX+8TvNr0nn4dkjFrRSQkWx9DabUjDAC+XKR3cMDJ1e1EsQjpOFpWXmqYU7weg1+swHz/OhAaZEOCJMKF0XfBCASKfRzQzg+DSJaqntyx6PLlecaWC4MyZfT0vNeYo9sJJtBvl0CsUCoVCoVAoDhXpOGi/+WbfY9HMTJ+Dv5HUgRSeRwr2lgW90UA8Pg6R9EhP+9lDyvUUfsaSD5XKoR8AiyKEMzPQU8HAROVeGgaEbYPn8+C5HHixCP/SJUjbhjRNRJOTCM6epbc4DvjY2BF+C4Xi5KIc+iGh2Wwe9SkoRhBlN4q9oOxGsReU3Sj2wrZ2s43zPhDDQDwxAVEsAnEMYVnQul1E4+PkvBsGOfRpXbdlUTS/l8S5N58+pYj+SSf5reKpqf7uAElfeeG62e8uHQcil4PI5ej3dV34N28e2KmpMUexF06i3SiHfkiQasdYsQeU3Sj2grIbxV5QdqPYC/ttN8H8POLJSTApAdOkyHG1Sg6o40BaFrQgAC8W6fNNEywMqXd9ErkH52BBAK3dhn37NrR2e1/PcZTQfB9xtUqOe49goDRNiB6hu87rr9MGSS4Hns9vq3WwX6gxR7EXTqLdKId+SCgmE49CsRuU3Sj2grIbxV5QdqPYC/ttN+H584imp8GLRXDXhSiXyXlnjNqraRqkppFyPpA5nlLXSbk9CGDdu4e4WoXm+wCoj/0zEQLG06f7+l2OCq3ZpJZ0AFgYgpfL9DuljhBjkJpGmgUbHHdpmmi/8QZ1DDhg1Jij2Asn0W6GyqFnjOmMsQ8YY38y4Ll/nzG2xBj7afLf/+YozlGhUCgUCoVCcbREk5OIJyYQzs5CJsJswnEATUM8MYHg4kUApKYPw6C6e02DFscQnoe4WiVnNhHaS2FBADbAwWdxDK3bBet0DucLHiDG4iLMJ08AIcCiCLxU6tcaAG2A8EJhYCRenECHSaEYZoyjPoEN/O8B/BLAViPFt6SU//Ehns+h4Sc7pQrFblB2o9gLym4Ue0HZjWIvHJTdRKdOAYwhOn06e6zz5ptZZDlzTnUdPJcDi6Iseh/MzyO4fBnm4iKE40DvqbnVV1cBACKK+h1XIcDLZeitFuJRboslJUShAJHLZaUGIpcj7YFeDAPR6dNH6ryrMUexF06i3QxNhJ4xdhrA7wD4b4/6XI6C9gmu31LsHWU3ir2g7EaxF5TdKPbCQdlNNDfX58wDAC+VIAqFvkhz+jgSwTxpmohmZ8HLZTTfe4+OIUTWzx6gaLy5uNj/mBDUc32U4Zy0BAAE589DS7INUkV7rdOB+fgxWBhC6jqi2dlt2wgeNGrMUeyFk2g3wzQy/d8A/B8BFLZ5ze8xxt4B8CmA/4OU8sGgFzHGfh/A7wPAqVOnMDExAQBotVqI4xjlchkAEAQBGo1G9rwQArVaDeVyGWaSYlSv1+E4DrxkQGs2mxBCoFQqAaBdoFarhfHxcQAA5xz1eh2VSgVGMvDXajV4npf1RWw2m5BSZjUevu/Ddd1MxCE9RrVahZ7smNZqNeRyOTiOAwBoNBpgjKFQoJ+r2+2i0+lgLGkZEscxVlZW+o6xvLyMfD6fHWNtbQ2apmXH6HQ68H0f1WoVABBFEVZXVzE2NgYtqZVaWlpCsViEbdsAgNXVVRiGgXw+D4BuojAMUUlq18IwxNraGsbHx8EYg5QSy8vLKJVKsCwLALCysgLLspBLep4O83Vqt9vZbzwM18nzPKytranrNOTXCRiu+yn9PHWdhvs6Ddv95Hkems2muk5Dfp16jzEM18k0TQghjvQ6RV/5CuLvfhflW7fAggD6uXNY6nZROHcO9vQ0nEIB7Q8+AJufh3PlClgco/voEezVVVivvAIwBv74MTr37yP/+usU0Y4iND/8EPnr16El16X10UewpqZgJfbQvXsXEALu/DydR60G/9EjFG7dInsJArQ++gj5mzehJb9H88MP4czOwkyuQ/f2bUDT4J47R7/H0hLChQXkE3V50e2i9fHHKNy6BWaaYEGAtV/8Au758zCT37Dz2WfQbBvuzAz0CxfgLyygffYsCuUydQaYncXakyfw3nsP8ewsKdl3u0d+P3meh3v37qn7SY17u7pOp0+fRjcpmzku1+lZsGFQAmSMfRPAN6SU/zvG2JcB/GdSym9ueM0YgJaUMmCM/W8B/EMp5VeedewbN27Ib33rWwdx2vvKxMQElpaWjvo0FCOGshvFXlB2o9gLym4Ue2FY7Mb78Y+htdvQGw00v/xliuQD0Ot1lL/9bQjXRTw9DWNxEVq3i+DMGYhcDvbdu4gnJ6GvrSGuVGA+fQqjVkOYRq+HLGpv3b1LGgGTk6Razzmg66QNIAT0lRVIw8DKP/gHKH73u+Ceh/Zbb4FFEUrf/jbab7+NaHr6qL8GgOGxHcVocRzt5oUXXnhfSvnaVs8PS8r9bwD4u4yxuwD+OwBfYYz9f3pfIKWsSSnT3Kf/FsCrh3uKBwtXvVAVe0DZjWIvKLtR7AVlN4q9MCx2I5K2dsK2IZNIG4CsFZu0LCCK6DHDAK9U0E0i6eAcEIIceM4RT0yAxTGMWu0ovsrWcE76AQn2nTuw79+H3mjAXFoCC4KstR80Df7FiwjPnAFA31kUCuA97z9qhsV2FKPFSbSboXDopZT/uZTytJTyHIB/BOC7Usr/Re9rGGMzPf/8uyDxvGNDvV4/6lNQjCDKbhR7QdmNYi8ou1HshWGxG+G6ELaNcH6+T7ldmib1Vi8WqY0dY5C6Ti3bHAf+hQswFxeh+T71ZNd18FIJ7S98YVOt/lHDogg8SZNm3S7isTHwfB4sCBDOzcGo1fo2NMJz59Z1CBhD9/p1iOT9w8Cw2I5itDiJdjMUDv1WMMb+CWPs7yb//E8ZY79gjP0MwH8K4N8/ujPbf9K6C4ViNyi7UewFZTeKvaDsRrEXhsVupG1DuG7Wzi573DQRTU4iPH0amu9DIonaJ7Wu4cWL4IUC9HqdjmHb4Pn8cDi+QvT9kyXK/MLzYKyuIpydzTYdgvl5yjJwXfAeHZVeorm5odqkGBbbUYwWJ9Fuhs6hl1L+eVo/L6X8P0sp/8fk7/9cSnlDSvmilPI9KeUnR3um+4u+sV2IQrEDlN0o9oKyG8VeUHaj2AvDYjfR9DQ5tRvRNHRefx2iVAKkBJOSVN8TgTBeKqH9+uuQlgVpmpCeB14sUs97zmHduXPI32Qd+/btfiX+KALP58GLRbAgoNZ+UgKMIa5UqLTA8yATkbFhZ1hsRzFanES7GS4lD4VCoVAoFAqFYr/RdfpvC7LacSnBy+X+OvskMi91Hdx1KR3fsug/gCLl2jNiZHG87wJ6MlG1l0nEncUxeKGQ9ZqPJyfBhAD3PFKuz+XA83nIZ52rQqEYKdQdPSTUhk1YRTESKLtR7AVlN4q9oOxGsRdGxW6yFHop0XnlFepdnz5nWeQ0GwZ4uUzRecYQnToFnsuBheGm42nNJjnxAFgQwL57d28nJiX1i98o9CUEhG1DSyP0nJMoXqEAXirBT7QC0qwC6DrisTGEs7Pwr1zZ27kcMqNiO4rh4iTajXLoh4TcMNRiKUYOZTeKvaDsRrEXlN0o9sLI2I2mIS6XAV3P0u1TpONAJhF6/+pVagkHoP3GG4impjKH3lhagv7/b+9uY+Sq7juO//7zsLO73l3vMzbYiUkJIKwQMA+yQpNSqAiNqpIXUQuqUpJGrUofVFDVClKpldq+yEPVqn0VRQpqGqEQQpIWJW0Tqiap+gJoSqBAnnBCk9iBhsVe23h3vfPw74tzdjy2dxZzbM+9d+/3I43mzr13x2fsn+/e/9xzz1lcDMuLi6q/9JLq+/fLWi25mezUwrzTOe0++NOadeyYbGlJtYWFk9ZbqyUfGpItLaly9KiqR47o+CWXqDU3p9UdO7SyNk99HDtAkpZ37w5fVPQMCphnhckOcqWMuaGgz4nhnq5dwJkiN0hBbpCC3CBFkXLTmp+Xr9ctv1IJXdWr1dBtfm3guDji/dpV8urhw2EqO3d16nVVjx4NPxPngh86cED1Awe6b1tbWDitUO+Khb6trqq13rzw7bZUq8kbDVmzqerhwyfmj49X5qU4wF8s6NszM+e82//5VKTsID/KmBsKegAAAJRee2KiO7r9adsmJ0+a7m5NZ2wsDDynODXe8LBsdTVc1a/XpUpF1m7Lq9VwX37vFwbx507TbKrx/POSwkB3ze3bw8/1XN23VkutrVu1csUVWtqzJ0y1NzFxevuGh9UeHT3TvwIABVScr+k2uSNHjmTdBBQQuUEKcoMU5AYpipSb5rZtqr766rrblq66at2r22uD59nqqjojI7JWS5Vjx9QeHw/T4FWrsmZTqlbVqVbltZrUbIZu7+tMEVddXFRleTls73QkM3W2bFFzfl7VI0fClHQHD4YB+sbHtXzllbKVFTW3bevOQd+rMzxcmFHtT1Wk7CA/ypgbrtDnhOVo3k8UB7lBCnKDFOQGKYqUGx8d1fKVV66/sU9X9bUr+rayEgr6ZlPqdLRy+eWhm/7ISCjs63VZp6POli2qHj0aivruH3ziSr2trqpy9Gj3ywGPf0Zzbk6V5eVul/7K0lJ3ID8fHtarN964bhs74+PdUfCLpkjZQX6UMTcU9DkxPj6edRNQQOQGKcgNUpAbpNjsufFGIxTYx4+rNTcnazbV2r5dzYsuUnN+Xq3Z2TC1XOxq356aUu2VV1Q7eDD8fK0WBrWLr9fWdUZGpFZLplDQt6emwhV7d7WnplQ5duzkqfX6DHS3cumlal5wwfn7CziPNnt2cH6UMTcU9AAAAEACHxrq3t/enpoKXeHHxqRKRUvXX6/WxESYvs5MbqbW5OSJ++7jnPf1hYWTpr7zkZHulHReq8mHh9XpKVKa27aFOeUnJ1+7gbWaxLzzwKbG//CcWF5ezroJKCBygxTkBinIDVKUITftLVtkzWaYEq5WU7un+O52ea9UpFpNnbExNefmwr7uWr3oonDlfa3odldnyxZ5o6Hq4mLYXqmo0zOVXnNuTktXXRXeYxMrQ3Zw7pUxNxT0ObG0tJR1E1BA5AYpyA1SkBukKENuOqOjYQq78XF1Go2TBqHrjI7KR0bklYo69braW7dq5bLL1Ny+XV6rqT0zo9bkZLhiHwfBa87OqjU9LVtdVXPnzvBGa/fHu4f32L178B90wMqQHZx7ZcwNBX1OzMzMZN0EFBC5QQpygxTkBinKkJvl3bt19Kab5I1Gt6hf0xkd7Rb8qtfDFfqdO9WenAzd5rduVfPCC6U4Gn5ndFRL11yj9sSEmtu3qzk/H97I7MTI971T321iZcgOzr0y5oZp6wAAAIBE7dlZrc0Q356aCgPaRd5odOeB7x17e3XHDnVGRuT1uo697W2qffGLqh46pNU3vEHeaKi5c6dac3MnjVzfGRpSZXW1O8AeAEhcoc+NVquVdRNQQOQGKcgNUpAbpChbbpauvfbked/NtPzWt4ZCv3dauVpNrZ7R571eDwPpXX1193XnlNG6vV4v1SB3ZcsOzo0y5qYcR4QCOHToUNZNQAGRG6QgN0hBbpCC3Eit+flQjPcMbHca93Bffe+XAafoDA2p02d6us2I7CBFGXNDQZ8T09PTWTcBBURukILcIAW5QQpyE3i9fvIV+lMc27tXx667buP3GBoK99GXBNlBijLmhnvoc6LK/VBIQG6QgtwgBblBCnITeK0WrtL3cSZzynujseF7bDZkBynKmBuu0AMAAADnkdfr4Qr7Weg0GqXqcg/gzHCFPicWFhaybgIKiNwgBblBCnKDFOQm8KEhddzP+j3KdIWe7CBFGXPDFfqcGBsby7oJKCBygxTkBinIDVKQm6B54YVavfjis3oPbzTkw8PnqEX5R3aQooy5oaDPieESHaBx7pAbpCA3SEFukILcRGbhcRa8WlWn0ThHDco/soMUZcwNXe4BAACAnGvPzJw2Nz0AUNDnxOHDh7NuAgqI3CAFuUEKcoMU5Obc6YyOSqOjWTdjYMgOUpQxN3S5z4lKhX8KvH7kBinIDVKQG6QgN0hFdpCijLkp3yfOqXG6UCEBuUEKcoMU5AYpyA1SkR2kKGNuKOgBAAAAACggCvqcWFpayroJKCBygxTkBinIDVKQG6QiO0hRxtxQ0OfEyspK1k1AAZEbpCA3SEFukILcIBXZQYoy5oaCPiemp6ezbgIKiNwgBblBCnKDFOQGqcgOUpQxNxT0AAAAAAAUEAV9TjSbzaybgAIiN0hBbpCC3CAFuUEqsoMUZcwNBX1OLC4uZt0EFBC5QQpygxTkBinIDVKRHaQoY24o6HNiZmYm6yaggMgNUpAbpCA3SEFukIrsIEUZc0NBnxOVCv8UeP3IDVKQG6QgN0hBbpCK7CBFGXNTvk8MAAAAAMAmQEGfEy+//HLWTUABkRukIDdIQW6QgtwgFdlBijLmhoI+JyYmJrJuAgqI3CAFuUEKcoMU5AapyA5SlDE3FPQ50Wg0sm4CCojcIAW5QQpygxTkBqnIDlKUMTcU9AAAAAAAFBAFfU6Ucc5EnD1ygxTkBinIDVKQG6QiO0hRxtxQ0OdErVbLugkoIHKDFOQGKcgNUpAbpCI7SFHG3FDQ58TY2FjWTUABkRukIDdIQW6QgtwgFdlBijLmhoIeAAAAAIACMnfPug3nlZm9LOmHWbfjDMxKWsi6ESgccoMU5AYpyA1SkBukIjtIsRlz80Z3n+u3cdMX9EVhZt9w92uzbgeKhdwgBblBCnKDFOQGqcgOUpQxN3S5BwAAAACggCjoAQAAAAAoIAr6/Ph41g1AIZEbpCA3SEFukILcIBXZQYrS5YZ76AEAAAAAKCCu0AMAAAAAUEAU9ANiZveY2XNm9qyZfdrMhs3sYjN73Mz2mdlnzGwo7tuIr/fF7bsybj4GyMzuN7OfmtmzPeumzexRM3s+Pk/F9WZmfxez8j9mtqfnZ+6M+z9vZndm8VkwOH1y81Ez+07MxhfMbLJn230xN981s3f2rL81rttnZvcO+GNgwNbLTc+2PzQzN7PZ+JrjDST1z42Z/X485jxnZh/pWc/xBv1+T11lZo+Z2VNm9g0zuz6u53gDSZKZ7TSzr5rZt+Kx5Q/ies6N17g7j/P8kHSRpBckjcTXD0l6X3y+Pa77mKS74vLvSPpYXL5d0mey/gw8BpqXd0jaI+nZnnUfkXRvXL5X0ofj8rsk/Yskk7RX0uNx/bSkH8Tnqbg8lfVn4zHw3NwiqRaXP9yTmyskPS2pIeliSd+XVI2P70t6k6ShuM8VWX82HoPNTVy/U9KXJf1Q0mxcx/GGR9/cSPp5Sf8mqRFfz8dnjjc8NsrNVyT9Ylx+l6Sv9SxzvOEhSdsl7YnL45K+F48rnBvHB1foB6cmacTMapJGJb0o6SZJD8ftn5T07rh8W3ytuP1mM7PBNRVZcvf/kHTwlNW9mTg1K//gwWOSJs1su6R3SnrU3Q+6+yFJj0q69bw3HplZLzfu/hV3b8WXj0naEZdvk/Sgux939xck7ZN0fXzsc/cfuPuqpAfjvtik+hxvJOlvJP2xpN6BdjjeQFLf3Nwl6UPufjzu89O4nuMNJPXNjUuaiMtbJf0kLnO8gSTJ3V909yfj8lFJ31a4WMq5cURBPwDufkDSX0n6kUIhf1jSf0ta7DnZ3q8QTsXnH8efbcX9ZwbZZuTOBe7+Ylx+SdIFcbmblWgtR/3Wo7x+Q+Eba4ncYANmdpukA+7+9CmbyA02cqmkt8dbBb9uZtfF9eQGG7lb0kfN7McK58r3xfXkBqeJtyFfLelxcW7cRUE/APGejtsUuppdKGmLNsk3Qhg8D/2GmJ4CZ8zM/kRSS9IDWbcF+WZmo5I+KOlPs24LCqem0JV1r6Q/kvQQvQtxBu6SdI+775R0j6RPZNwe5JSZjUn6nKS73f1I77aynxtT0A/GL0h6wd1fdvempM9LukGhC0gt7rND0oG4fEDh/kXF7VslvTLYJiNn/i92F1J8XuvK2M1KtJajfutRMmb2Pkm/JOnX4i88idygv59R+PL5aTP7X4UMPGlm20RusLH9kj4fu7k+IakjaVbkBhu7U+G8WJI+q3ArhkRu0MPM6grF/APuvpYXzo0jCvrB+JGkvWY2Gr+tvlnStyR9VdJ74j53SvqnuPxIfK24/d97TsRRTr2ZODUrvx5H9Nwr6XDsfvRlSbeY2VTsIXJLXIcSMbNbFe6D/mV3X+rZ9Iik2y3MqHGxpDdLekLSf0l6s4UZOIYUBuV8ZNDtRnbc/Rl3n3f3Xe6+S6FI2+PuL4njDTb2jwoD48nMLlUY6G5BHG+wsZ9I+rm4fJOk5+MyxxtICqPWK/Tc+La7/3XPJs6No9pr74Kz5e6Pm9nDkp5U6Pb6TUkfl/QlSQ+a2V/GdWvdjD4h6VNmtk9h8JDbB99qZMXMPi3pRkmzZrZf0p9J+pBC98UPKIw6/Stx939WGM1zn6QlSe+XJHc/aGZ/oXDCJEl/7u7rDXyFTaJPbu5TGFn60djz9TF3/213f87MHlL4YrEl6XfdvR3f5/cUfsFVJd3v7s8N/MNgYNbLjbv36/LK8QaS+h5v7pd0v4UpyVYl3RkvRnC8gaS+uflNSX8be6SuSPqtuDvHG6y5QdJ7JT1jZk/FdR8U58ZdxoVfAAAAAACKhy73AAAAAAAUEAU9AAAAAAAFREEPAAAAAEABUdADAAAAAFBAFPQAAAAAABQQBT0AANiQmb3bzNzMLs+6LQAA4AQKegAA8FrukPSf8RkAAOQEBT0AAOjLzMYk/aykD0i6Pa670cy+ZmYPm9l3zOwBM7O47WYz+6aZPWNm95tZI8PmAwCwqVHQAwCAjdwm6V/d/XuSXjGza+L6qyXdLekKSW+SdIOZDUv6e0m/6u5vkVSTdNfAWwwAQElQ0AMAgI3cIenBuPygTnS7f8Ld97t7R9JTknZJukzSC7H4l6RPSnrH4JoKAEC51LJuAAAAyCczm5Z0k6S3mJlLqkpySV+SdLxn17Y4pwAAYOC4Qg8AAPp5j6RPufsb3X2Xu++U9IKkt/fZ/7uSdpnZJfH1eyV9fQDtBACglCjoAQBAP3dI+sIp6z6nPqPdu/uKpPdL+qyZPSOpI+lj57WFAACUmLl71m0AAAAAAACvE1foAQAAAAAoIAp6AAAAAAAKiIIeAAAAAIACoqAHAAAAAKCAKOgBAAAAACggCnoAAAAAAAqIgh4AAAAAgAKioAcAAAAAoID+HwgFzSv6SNIyAAAAAElFTkSuQmCC\n", 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" ] @@ -4633,7 +4612,7 @@ "outputs": [ { "data": { - "image/png": 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TmdP4LdXphDnTK1xQctXFpPCYmpQfpiblh6lJ+WFqUp4s1MU0hEuE2+3OaXymcoQZJ1xYctXFpPCYmpQfpiblh6lJ+WFqUp4s1MU0hC8QKhwWaj0W0xA2MTExMTExMTGI8+XTSruO5bhoDeGZmZmcj8l0mDMpHPnoYlJYTE3KD1OT8sPUpPwwNSlPFumS8QhfyA01hBCvEkKcEEJ0CSE+s8T7G4QQ9wshnhdCvCCEeLXxS82NfDrONFfb6Z/RiKpmt5pCYXYCKj9MTcoPU5Pyw9Sk/DA1KU8W6iLUdHtl5QI1hIUQFuAbwE1AO/AOIUT7gmF/CdwmpbwUuAX4F6MXmitVVVU5H7PFb0cCp8yEuYKRjy4mhcXUpPwwNSk/TE3KD1OT8mShLilDuDyNYMjOI7wX6JJS9kgpE8BPgDcsGCOByvT/VwH9xi2xeDSnK0d0m4awiYmJiYmJicmaEaos20Q5AGsWY9YBvXP+fQ7Yt2DMXwP/I4T4I8AD3LjUREKIjwAfAWhsbCQYDAIQCoXQNG22LV88Hmd6enr2fV3XGRsbw+fzzXYsGR8fx+l0zmYnzszMoOv67JOIEAIhBIFAAIBkMsn4+DjV1dVYrak/e2xsDLfbjcvlAsDhmMbntNAfsRAMBonFYoTDYWpqaubN4ff7sVgss3N4PJ7ZciHT09MIIaioqAAgGo0SiURm59A0jYmJiXlzjI6O4vV6Z+eYmppCUZTZOSKRCLFYDL/fD4CqqkxOTlJTU4OipJ5lRkZGqKysxOFwADA5OYnVasXr9QIQDodJJBJUV1cDkEgkmJqaIhAIIIRASsno6ChVVVXY7akHgomJCex2Ox6PxzCddF3HbrfP6hSLxQiFQjnpNDMzg5SSysrK2TlMnfLXyW63Y7FYVryeTJ2Kq5Pdbqempibn+56pU+F0stvtBINBQ36fTJ2M0UlKWVA7wtQpP50sFsvs5z4xMYFVV7C4FYLBYEl1Wg4hpVz2TQAhxFuBV0kpP5T+97uBfVLKj88Z87/Tc31ZCHE18O/ATinlsgE8O3bskLfeeuuK514LGVFy5bP3DjEVS/L11zQWYFUm+epiUjhMTcoPU5Pyw9Sk/DA1KU8W6uK9ewZpgfCNFSVcFezatetZKeUVC1/PJjSiD1g/599N6dfm8kHgNgAp5eOAEwjkt1RjyDwZ5Eqz387ZKRU1aV5chSBfXUwKh6lJ+WFqUn6YmpQfpiblyUJdhCrhAo8RfhpoFUJsFkLYSSXD/WrBmLPAywCEEG2kDOERIxdaLLZU29F0ODullnopJiYmJiYmJiYXNmUeI7yqISyl1ICPA3cDx0hVhzgqhPhbIcTr08P+D/BhIcQh4MfA+2SJ9yuSyWRex5kd5gpLvrqYFA5Tk/LD1KT8MDUpP0xNypOFulwMyXJIKX8L/HbBa3815/87gGuNXdraGB8fz+u4hgorLqugx6wcURDy1cWkcJialB+mJuWHqUn5YWpSnszTRUqEVt6G8EXbWS6T1ZgrihBsrrabHuECka8uJoXD1KT8MDUpP0xNyg9Tk/Jkni46CB1kmbZXhovYEM6UzMiHlppUq2VNNxPmjGYtupgUBlOT8sPUpPwwNSk/TE3Kk7m6iEx7ZdMjfGHRHnQQT0rTK2xiYmJiYmJikiemIVxCViqevBptwVQx6WMjcaOWY5JmLbqYFAZTk/LD1KT8MDUpP0xNypO5umQMYUxDuPhkOpDkQ43bSp3XSsewaQgbzVp0MSkMpiblh6lJ+WFqUn6YmpQn83QxPcKlI9PuMF/agw46RmJm1xqDWasuJsZjalJ+mJqUH6Ym5YepSXkyVxczNOICpi3oYDKmMxjSSr0UExMTExMTE5MLjllD+ALvLHdBMjMzs6bj29Nxwh1mnLChrFUXE+MxNSk/TE3KD1OT8sPUpDyZq4tIN+k1PcIlYK0hDRt8Njw2YcYJG4wZalJ+mJqUH6Ym5YepSflhalKezNVl1iNsNw3holNZWbmm4xUh2B50mJUjDGatupgYj6lJ+WFqUn6YmpQfpiblyVxdhCqRArCUbj2rcdEawkbQHnRydkplJm72MzcxMTExMTExyQWhSrAKEKZHuOjEYrE1z5GpJ3zc9AobhhG6mBiLqUn5YWpSfpialB+mJuXJXF1EQpZ1WARcxIZwOBxe8xxbA3YsAo6ahrBhGKGLibGYmpQfpiblh6lJ+WFqUp7M1UWosqwT5eAiNoRramrWPIfTqtDst5txwgZihC4mxmJqUn6YmpQfpiblh6lJeTJXlwvBI2wt9QLKnbaggzs7Q6hJic1S3mKaXCQkk9Dfj+jqgonJ1GtVVcgtm2HDBrCUcdaBiYmJiYlJGqFKdHd5+1wvWkM4mTQmwa291sHtx2foHk+wPR0zbJI/Ruly0aHr8OyzKL+7F44eQcSW3oWQVVXIAweQr3g51NUZcmpTk/LD1KT8MDUpP0xNypN5uiQk0lfeTsSL1hAeHx83ZJ72oBOAjpGYaQgbgFG6XFQcOYLy3e8izvYi/f6UodvSimxphtpakBLGxxGdXYgnHkf8+teIO+5A3vQq5NvfDmtsM2pqUn6YmpQfpiblh6lJeTJXF6GaoRElw+/3G3KRVLssNHitdIzEebMB63qxY5QuFwXhMOIHP0C553fI+jr0T3wCee01S4c+NDQgGxqQ118HY2OI236K+M1vEc88i/6pT0Jzc97LMDUpPwqiiS6xjCaxjGugCLQGK3qFGWaTLeZ1Un6YmpQns7pIeUEky120hrDFwDjKtloHz/ZFkVIiyrgW3oWAkbpc0HQcQ/nHr8LkJPobXo+8+WZwZLnjUFOD/NhHkfv3o3ztayif/Sz6Jz8Je/fmtRRTk/LDaE0soxquJyNYJ85vWUog0Wonerk7VefTZEXM66T8MDUpT2Z10UDI8u4qBxdx1QgjaQ86mIrr9M9opV6KyUWAuPdelL/9G3A60b/wd8h3vzt7I3gu7W3oX/x72LgJ5R/+AfHAg8Yv1uSCx3Y6gffuGZSYTuRqN1NvrmL6DZUktjlwdCbw3hcCrfitahOJBJ2dnRw8eJCenh5UVS36GkxMTAqHSKTbK5se4dIwNjZm2Fzt6djgYyNx1lXaDJv3xYiRulxwSIm47acoP/0pcs8e9P/9KfB41jZnVRX6//0rlL//IuJfvoF0OuGqfTlNUUpNpJTEppLEIzro4K6xYneZz+dGaWLtU3E/GiYZtBI64IW0Z0YC0SvdaAEL7kcjuB8PE3mJp2jdn4aGhnjyySdJJBJYLBaSySTHjh3jqquuKtuSWC/qe1eZYmpSnmR0EWraEC5zj/BFawh7PB5mZmYMmaupyobXrtAxHOfGZq8hc75YMVKXCwopU/HAt/8K/YYbkB/9fePKoDmd6J/+U5S//RzK176GHvhbaGnJ+vBSaJJUJQMdUc4djBCf0ee952uysf5SN9Ub7C/aUCQjNBFhPWUE+yyEbvDCEl4ZdbODWFjHdTCG1pgg0Vz4hODh4WEeeeQRKioquO666/D5fIyNjfH000/z8MMPs3//fqqrqwu+jly52O9dcU1nOJxkXaUVpVjXna4ROPkjfL2/Az3JxKbXMNZ6MyjZmSZr0WQ8Mc7vRn5Hb6yXVk8rr6x9JQ7FTIg3gowuF4pH+KJ1vTidTsPmUoSgLeigY8Rs57hWjNTlQkL8+McpI/iVr0B+7KPG1wJ2OtE/82nw+VC+9A8wNZXDocXVZPRUnCe/P0b3wyGcFRZaD1Sw+w0+dr/Bx6Z9HiITSQ7/eoojd0yhRvXVJ7wIWbMmusTzcAghJZHrPUsawRni7U60WivOZ6OIeGE/72g0yuOPP47X6+XAgQNUV1cjhCAQCLB//35sNhtPPPFE0cMkkskxdH1lg+pivXd1jsX57L1D3HJbLx/7dT+/f3s/HcOF/60TWozND32S+iPfQrNXojn9NBz+Bhsf/VNEMpHVHPlqciJ0gs8c+wy/HPwl56Ln+HHfj/lMx2cYS5geZiPI6DJrCJe5R/iiNYSNpi3o4Ny0xnTcrFtokhvirrtRfv4L9Je9DPmhD4FSoMuushL9T/4EZqZRvvyVVGOOMkJKyZmnwxz9zRR2t8Ilb/ZxyZuradzponq9ner1djZe6WHfe2pofomXid4Ez942zsywGTuaK/auBNbRJJEr3atXhlAEkb1uhCpxHiqcASSl5Nlnn0XXda655hrsdvu8991uN/v27SMcDnP48OGCrWMuicQLjI59nNGxDzAy+ntMTHwWTTtblHNnUKXkFxGdv5pK8jdTSe6L6UhZnJjt4yNx/uyeIc5Mqrx6awV/sNcPAv78d0McHIgW7sRS0vTM53GPHuTclZ/l9P5/5vT+f6Lvsj+lYuhJGp//csFOPRQf4ktdX8Jj8fClHV/iqzu/yl+0/gVT6hSfP/l5oskC/t0A0Whqd/Djf4Ty6c8gfntnqo78RchsaITpES4N09PThs7XXns+Ttgkf4zWpex58knEv/878orLkR/5cOFjMLdsRn7kI4iODsSv78jqkGJoIqWk66EQp58MU7fNyWVvq6aq0b7kWMUiaLrEzaVvSW2PH/rF5IvOGF6LJiKm4zwYRa2zom5e+jNeiO6zkGixY++KI8KF+VEeHBxkcHCQHTt2UFFRseSYQCBAS0sLPT09TExMFGQdGWKxx5iY/BtAx+v9IB7PO1C104xPfJpEomPR+EJcJ+O65H9NJvlGWKc3KTmhSb4wo/NX0zqJAhvDE9Ekn3tgmGqnhX+8qZ4PX+Hn1Vsr+Oqr6mmssPH/Hh5lOFyYBPGq3t9Rde4+hnb+PpMbX3V+TVvewMi236P69B1U9D+66jy5aqJLnX859S8AfKb1M6xzrgNgZ+VO/rjljxmMD/L93u/nNGdOTE+j/PlfoPzydmhaB0KgfPe7KH//RbiIkkUzulwoMcIXrSFsdGxhq9+OVYGOYdMQXgsvqpjPkydRvvY1aG1B/9SnitYaWe7fj9y3D/GTn8CZM6uOL7QmUkp6HgvTfzhK06Vutt1YgZJFu/KKOhuXvqUaq1Nw+I4polPl5eEuJGvRxPlCDKFKonvdOT14xXc4QYKzw3ivsJSSI0eO4PF4aFklfr29vR273c6RI0cMX0eGhHqMqekvYbM246/+Ih736/F6bqHG/xUUpZrJqS+gaQPzjjH6Ognpkk9PJjmrwV9XKvyH38oP/BY+5lF4PCH53LSOXkBj+J+fHCOqST57IIjffT4m1+uw8NkDQdSk5FtPG1+jV9EiNBz6GpHqNka3vXPR+8M7PkSschP1L3wd9JUN8Vw1eXjsYU6GT/LupndT55jfmbO9op3X1b2O+8fupzPUmdO8WZFMpgzeoUGSn/1L9M98Bv3vvoD+gQ8gnn0W8W//Zvw5S0RGF5FIPVSbHuESsZzHIV8cVoVmv930CK8Ro3UpW6amUP7hy1DtR//MZ/Irj5YvQqB/5MPg8aD80z+vGiJRaE36D0c593yExl0utlzjyenHy+G1sOt1PmRScvhXk6ix8txCjE5OcO75p+l55H5OP/4Q42d6kGvY7sxXExFKYu+Kk2ixo1fl9uCley0kttixd8YRBsdm9/b2MjU1xY4dO1BWCQ2y2+20trYyNDRUEK+wrkeZnv5HFCWAz/fXKMr5BGiLJYiv6rOAzvTM15Dy/LVj9HXyTyGdM0n4myqFlzhSn4kiBG9xK/yhN2UM/zxaGEP4mb4oT56L8nt7qtjgW7xr0FBh4117qnjyXJRn+40NFaju/iXW+AQDl3wSxOLvqFRsDO76Qxyhc/hP/XrFuXLRRJMaPxv4GS2eFq6ruW7JMW9qeBNV1ip+eO6HhoeniF/ejjhxAvkHfwB79qRfFMhX34T+5jeh3Hc/PPW0oecsFRldhCqRClDm5Z4vWkO4ELQHnXSOxVGTxa+5aXIBkUyifPWrEJpB/+P/A5WVxV9DVRX6hz+EOH0aceddxT9/mukhle5HQvg32Wm53puXV83jt7LztVXEZpKcuG+6aPGT2RAaHuKZH3yHh/7p7zl6x3/Tef/dnPjdb3n6e9/m0W9+leGTi7fYC4nzSMqbG9uZX9vt+A4nQgd7l3EP/FJKTpw4QWVlJevXr8/qmObmZqxWK8ePHzdsHRnC4R+STA5RVflJFMW96H2rtYEK74dQ1WNEo/9j+PkBHovr3BuXvMetcLl98c/wG52Cq+2C/wjr9Bv8e6NLyXefm6Chwsrrti1/b3rdtkpqPRZ+eGjSsGtOJOMETv6YUO0VRGt2LjsuVH81Ef9OAid/BNKYnaDHxh9jNDHKm+rfhCKWNn2cFidvaXwLJ8InOBY6Zsh5gVQ30P/+GfKqq5Avecmit+Xb3obctAnlO9+B+MXjbBOJdFe5Mt8JvmgN4WjU+ID39loHqg5d4xfPF7XYFEKXckP85CeII0eRH/4wbN5cuoXs24e85BLErbfCCm1IC6WJGtPpuGsKu0dh+42Va9parmqws/lqL2M9CfpfKI/v0NlnHuexf/saUwN9tN7wSq796Kd4+Z/9f9zwfz7L7jfdgpSS52/9HsfvuSNn73A+moiwjr07QaLVgfTkd2vXKy2o9VYcnXHQjTF+RkZGmJqaorW1NevvgN1up6Wlhb6+PkKhkCHrANC0ASLR3+JyvgK7fcey45zOG7DZdhIK/xhdjwDGXSealHw7rLPBAu9wL/15CCH4hDel4fcMjtl++lyUs1Mq79xdhW2FECWbRXDLripOjiV4fsCYcJnqU7/GFh9nuO39Kw8UgtFt78Ae7qey76Flh2WriS51fjX4K9a71nNp1aUrjt1fs59KayW/GvxVVnNng7j1VtAl+nvevfQAmw39A+9HjI+X1HFhFBldREKWfXwwXMSGcCQSMXzOtnRjjaNmnHDeFEKXsuKZZ1F+8Uv0l9+IvOGG0q5FCPQPfgA0DfG97y07rFCadD4wQyKs0/6qKmzOtd9qmi5x4d9op+fxEJHJ0nZ57Hn0AY7deTuB5q1c9wf/hy0vuQFvsA7FasXu9tCw8xKu/ein2HDlNZx54hEO334bUmZv0OSjieNk2hvctrYwnMRWB0pEYu0zJnmnq6sLu93Ohg0bcjpuy5YtAJw+fdqQdQCEIz8BrHg8t6w4TghBhfd9SDlFJJoyiIy6Tu6ISc4l4SMeBcsKDwZBi+ANLsG9cckZAzv//XfHNLUeC9dvXL2Zzw2bvVQ5FH5z0oD6yVLi7/klkeo2IsFLVh0+3XgdCU8j/u5fLDsmW02OzByhL9bH6+pet+rDmF2x88raV3Jo+hBD8aGs5l+RsTHEgw8hX/5yqK1dflx7O/KySxG3337Be4UzughVln18MFzEhnAhuhP5nBYaK6xmnPAaKNeuUYYwNYXyr/+K3LQR+f5VPB7FoqEB+cY3oDzyKJw4seSQQmgydjrOSFecjVd6qKwzphujEIKtN6QS7U7eP1OSEAkpJZ33303nfXfRsPMSLnnbu7F7lm6yo1gstL3q9bQceAUDRw7Sdf89WZ8nZ000ib0zgbrehvSuLSBPbbKhuwWOruxqua5EJBKhv7+fLVu2YMkxWdTtdtPQ0MDp06fRDSgvlUyOEYs9jNv1CiwW/6rjbbZW7PYriER+g5RxQ66ThJT8KKKz2wb7svCUvd2t4BTwXxFjvMLHRmJ0jMR5U1slFmX189ssgle2enm6L8pQaG0Pn67xozinTzGx5fXZHSAsTGx8Nd6RZ7GFB5Yckq0mD4w+gMfiYV91dl03D9QcQCB4YPSB7Na6AuLuu0HXka99zapj9Te+ETEzg3jo4TWft5RkdBGq6RG+KGkPOjg2Ei+rOEWTMkBKlG99G8Jh9D/6I7BnV7aqGMg3vAHp86F87/tQhO9tMqHT+eAMbr+F9ZctjsFcCw6vhc1XeZjqUxkxMI41W7of+h09j9zPukuvZNcbbkbJwrjb8pIbaLpsLz2P3s/wiaMFWZe9J4GSkMTbDGj6oAgSmx1Y+1XEGpMTz6SrlmzOM0Ro8+bNxGIxBgaWNoRyIRq9C9BxuV+b9TEe95uRcppo9L41nx/ggbhkXId3upWswkSqFMHrnYJH4pIhA2KFf3syhNsmeHlL9h1SX9WaSny6s3NtXuHqU78maXEx1fSyrI+Z3HQTEoHvzJ15nzekhXhm8hmu9V+LXcnuvuy3+9lTuYcHxx4kuZYY5Xgc8T/3wJVXQl3d6uPb2pCbNyN+85ui3KsLjRkaUWI0rTBbp+21DqbjOn3Tpd2avVAplC6lRjz0EOKpp5DvuAU2biz1cubjdCLf/nbEiRPw1FOL3jZak9NPhYnP6Gw9kF2ZtFxp2OHCG7DS82iIpFq8H4uRrhN0P3QvjXsuZ8dr3ozIsjGKEIK2V72eivpGjv7mFyTCq8e85qSJlDiOx9BqLCQDxqRnJzbbERJsp/P3CkspOXPmDIFAAI9n9W34paivr8fpdK45PELKOJHoXTjse7Fa6rM+zmZrx2bdSiT6S1R1bR5yKSU/jehsssDlOWwXv96V+p79Zo0PJeGEzmNnI1y/yYPTmv1Pf63HypXrXNzXEyaZZ9y40KJU9d7L1PqXoduy/y6o7nrCtZdTfeZOWCK0KJvr5PGJx1Glyv6a/Tmt+YbADUyoExyaPpTTcXMRjz2GCIXQs/AGpw4QyNe8BnHuHBSpqUwhyOhihkaUmEIVY28LpjwuZrvl/Ch0kfySMDqaapqxfTvytdl7m4qJfOkNyKZ1KD/84aJyakZqMjOicu5QlIZ257INM9aKUAQt+73EQzpnnwkX5BwLic9Mc+T22/DW1tN+0xtzTvxTLFZ2veFm1FiUY3evXBIKctPEOqRhmdaJb3MYlp2t+yxo1Rbsp/I3/sbGxgiFQmzatCnvORRFYf369QwODpJI5L+WWOwhpJzGnYM3GFIPMW7360gmBxkafjDv8wMcUiWnkvDWLL3BGeosgn12wW+jck1NNh4+EyaelLyiOXtvcIYDmz2MR5McybP1csXAY1iSUaY2vDLnYyc2vhp7uB/X2OLdlGyuk0fHHqXJ2cRmd267EpdVXYbX4uWx8cdyOm4u4sEHkQ0N0NaW9THy2muQXg/i/gfyPm+pyegyWzWizMnKEBZCvEoIcUII0SWE+MwyY24WQnQIIY4KIX5k7DJzx+9fPQYsH5oqrVQ6FDrMOOG8KJQuJUNKlG/8Syoj+I8+XrSmGTljsaC/812I/gHEg/OzsI3SREpJ14MhbE7B5mty/7HNhaoGO7XbHPQ+Hyl4ow0pdQ7ffhtaIsGeN78Diy2/mOeK2nq2XHuAwaOHmDh7esWxuWhi70ogbQJ1g7EPHupmO9axJMp0fp/v2bNnsVgsrFu3bk3rWL9+PVJK+vr68p4jEr0Lq2UjNtuunI91OK5CCC96cvnqBdlwd0ziEXCDI3fD4A0uwaSER+L5G8L3dIfY6LPRWpP79+TKdS5cVsGDp/JLGKw6dz+qw084uCfnY2car0UXVir7Fz+IrHadTKgTnAyf5Krqq3J+eLUqVq70Xclzk8+R0PN4CBsdhaMdyOuvy+0B1WZDXnMN4qmn4AKtsuT3+0GXCK38u8pBFoawEMICfAO4CWgH3iGEaF8wphX4M+BaKeUO4JPGLzU3ck3MyBYhBNsDDo6ZlSPyolC6lArx4IOIw4eR73lPdjFgpeTKK5BbtiB+9lOYs6VolCZjPQmmB1U2X+U1pErEamy52otQ4PRTxpXXWor+Q88xdqqL7a94Dd7g2jTefM1+nJVVHP+fX69YRSJbTURCx9abILHZDlZjf3ASG1MGk6039+oRGcO1oaEBW54PDhmqq6vxer309vbmdbymnUPTunC6XpZXCT8h7Did+5kJPYSu59dmOSolD8cl1zsEjjzWcJlNEFTgd3kawoMhlROjCV66ObeGNhmcVoWr1rt5tDeScx19oUWpGHyM6aYDSzbQWA3d5iVcdwVVfQ8uiptd7Tp5ZvIZJJK91XtzPi/Avup9RPUoL0y/kPOx4uGHEVIir78+52Pl9fsR8TjiySdzPrYYTPSe5sTv7mTsVNeS71sslgumvTJk5xHeC3RJKXuklAngJ8AbFoz5MPANKeUEgJRy2NhllhfttQ76ZjSmYi+elq8mSzAzg/je95DbtiFvzD4BpGQIgX7L2xHDI4Zvu+lJSc/jIdzVFuqNSNjKAofXQuMuN8Mn4wUrp5aIhDnxu9/iW7+Rpsvy+zGdi8Vmp/Wlr2J6oI/Bo2uPAbSdVhFJSDQbH4YiPQpatQXbudy9YaOjo8TjcZqamta8DiEETU1NDA8PE4vlvjUfi90PKDgdS3cTywaX8+VIqRKL5ecVfiwuiQEvd+T3gKgIwUsdgmcSksk84nQfO5vy5F67Mf/k1f2bPIQTOs8P5OalrBh4DCUZZ3pd/uUkp9cdwB7uxzmVW+vjpyaeosHRQJMzv+/hjsodeCwenppYnFuxGuLhR5Dbt+XnINm2FVlfh3hgbeE4hWD4xFGe+s9vcfrxB3nmB99hsGPphwSRuHAMYevqQ1gHzH0UPwcsrEGyFUAI8SipZnp/LaVcVBVaCPER4CMAjY2NBINBAEKhEJqm4fP5AIjH40xPT8++r+s6Y2Nj+Hy+We/C+Pg4TqcTtzt1Yc/MzKDrOlVVVbNzCCEIBAIAJJNJxsfHqa6uxmpN/dljY2O43W5cLtfsHFJKKtOdwGKxGOFweLYUSGaOq5qD/Ofzk/TFHVS7dTweD05n6sd/eno6VYMy3WIwGo0SiURm59A0jYmJCfx+/+zT7OjoKF6vd3aOqakpFEWZnSMSiRCLxWa3gVRVZXJykpqamtl2pSMjI1RWVuJIt/KdnJzEarXi9aa2qMPhMIlEgurqagASiQRTU1MEAgGEEEgpGR0dpaqqCnu64sHExAR2u3020cUInUKhEHa7fVanWCxGKBQqiE5zP+OxsTHDdZr41reQ4QiVn/401rq6C0In+YpXMP3znyNvv53KN78Je/pvsVgsK15Pq+nU/fQ40ckkV7yljtq6QNF0ch2ooP+FboaOJNn7poYldVrL9fTcPXegxePsfv3bcLs9hui0+8CNnH3iYU49ej/r91xGdXodC6+nmpqaVa+n+F2n0KutVG+rRwhh+PWU3KagPzGGiOpUrwtkrdORI0ewWCzs3LkTm8225vverl27OH78OAMDA1xxxRVZX0+h0AyjYw/i9V5Jff22vK8nm20rkUgLWvJxKivfmfN9796eYeotghsagyh56vQaZZJbo1GetXm4xe/J6Xp6sn+UbbVuNtZ4877v3birhi8+OsozA3Gub/FnfT1VHnwKzeHDsuU6gi73kjqtdj3heQPy2S8SHH2CWOu1szpFIpFl7YjR0CgdMx28fcvbqa2tzcuOiMViXOm7kqemnsJX40ORSlbXk97XR/LsWdx/9EdQUZHXfU8/cAD9tp9SY7MRdzjWZEdIXTI+PIO0qASCNUvqlM31NDUxTsdvf4m/aQMv/YNPcd83/5GOO29n275rsDtds9eTqqpUu30kmUZxWXG73YbaEbn+PmU+4+UQq5UBE0K8FXiVlPJD6X+/G9gnpfz4nDF3ACpwM9AEPATsklJOLjfvjh075K233rriuddCRUUFMzMGFAFfgkRScvOtZ3n9tko+cHl1Qc5xsVJIXYpKxzEsf/VX6G94A/Ldv1fq1eTG449j+fJXSP6f/w1XX71mTXRN8uT3x3BWWrjkzb41dZDLh66HZug7HGXvu2twVRoXejM92M/j//Z1Nl19PdtufLVh8wIMHn2BQz//Ebvf/A4adiyOm8xGE2UySeUd00SucJHYXhgvvDKhUfmbGSJXuUm0ZNeoQ0rJb37zG/x+P9dcc40h65BScuedd1JVVcW1116b9XGJRAcTk39GZeWncDkPrGkNqvZrxse/Q6Dm37BYVmiMsICxpOQd40ne4Ra837O27+dHxjUcAv6pOhsfVoqRsMb7f9HHey7xcfPOqjWd/+8eGuHYSJz/evO67K5zmWT7r17DTONL6LvyL9d07s0P/AGKFqX7xv+YfW2l6+TR8Uf551P/zOe2f44WT0ve53168mm+0v0VPrv1s7RXtK9+ACBuvx3l+z8g+a//AmkDL2d6TmH50z9F/9jHkC97aX5zAAMdUU4/ESYR0bE6BS3XVVC3Lb/7Rc8j99N5/93sfd/HqF6/kclzZ3jyP/6V7a96PRuvPH+tV1RUED0xjve+EDOvqCBZm/33tZDs2rXrWSnlFQtfz2afpg+Y2yC+Kf3aXM4Bv5JSqlLKU8BJoDXfxRpB5qmoENgtgtYah5kwlweF1KVoqCrKt7+NDAaRb3trqVeTO3v3IuvrUW6/HaRcsyb9R6Mkwjqb9uUXf7hW1l/mRgjofdbYChLdD92L1eFky0uM7xBY174TT6CWU489uGRN8mw0sZ9JIAWoGwtXs1r3WdA9Sk5xwuPj48RisTUnyc1FCEFDQwPDw8M5lZaLxx8HrDjsaw9rCdSkKh7EYo/kdNz9cYlO/mERczngVDimwWgOcbqP9abDIjasvab33iYX49Ek3ePZhcu4xjqwqjPM1F+95nOH6vbhmjyJJXa+XfxK18mhqUN4LV62uLes6bw7K3ZiERYOTh3M+hjx1NPILZvzN4IBNm9CBoNrihM+9USIk/fN4PJZaLnei7vayvF7phk4mnsSntR1zj7zOIHmrVSvT5UI9TVtpLJ+Hf2Hnp031ul0XlChEdlcmU8DrUKIzUIIO3ALsLAJ9y+BAwBCiACpUIke45ZZfrQHHXSNx4lrxvaBNyl/xB13IM6dQ//gB+FCNOwtFuTrX4/o6oaja2vwkNQkvc9GqGq0Ud1UmiYiDq+F+nYXg8dixGaMidufHuxn+MRRNu57CTany5A55yKEwoYrr2FmsJ/pgXO5TyAlttMJtDor0lXAxEQhUJtsWAdVyLLNb19fH0IIGhsbDV1KY2MjyWSS4eHsUlCklMTiT2C370FR1m4E2u3rsFpbiMVzM4R/F9fZboUmA5IZr00bFY8ncjCEz0bY5LOxrnLtHR6vaHQhgCfPZWdIVQw+jkQhVHflms89U5+KyPQOPb3qWF3qvDD9Arsqd6GItV0fLouL7d7t2RvCExNw8iTyyjU+fAmB3LsXXnghr+oRo6finH0mQn27kz1v9LFut5s9b/RRvd5O10MzRCZyy6sYO9VFfGaadZfO17KufRfTA33EZuYnks4awnlUSSk2q35DpJQa8HHgbuAYcJuU8qgQ4m+FEJleiXcDY0KIDuB+4E+klMsHZBSBqampgs7fHnSg6dCZ5ZOxSYpC61JwRkcRP/0Zct8+uOLyUq8mb+SB/ciqKpRf3r4mTYaORUlEdDbtza9hglFsSHew630uv/JOC8l4gzfuy34bPlcadl6CxWaj97nFiTiraWIZT2KZ0QvqDc6grrchkmAbyM4rPDAwQG1t7ZqrRSwkGAxitVrp7+/ParymnULXh3E4rjLk/FNTUzgd16Jp3SSTQ1kdM5iUdGmw3wBvMMAGC6yzwKNZVo+YiiXpGI5z9XpjOjxWOS1sDzp4qi9bQ/gJIjU70e2Vaz53zLcVzeGjYuiJ2deWu07ORM8wpU2xpyr3cm1LcUnlJfTGehlLrG7WiGefS1WLuHLtxr/ctw+haYjnn8/pOC2uc/K+abxBK637KxDpdtqKRbD9xgoUq6DrodzC4fpfeA6by01t6/yayIHmrQCMdZ+cfW1qagoRTzkJLxaPMFLK30opt0opm6WUn0+/9ldSyl+l/19KKf+3lLJdSrlLSvmTQi46G5Qsuz7ly/ZgKl7OLKOWG4XWpdCIH/wQkOjve2+pl7I27Hbkq1+NOHgQkW6DmytSl/Q+H6GizkrVOmONnlxxVlqo2+5koCNKPLw2r3ChvcEZbE4n9Tv2MHjkEFp8fjWE1a4T2+kEUgF1Q+E/d63Wim4XWLMIjwiHw8zMzFBfn333tmxRFIX6+noGBgayanEfjz9BqlrE2sMiMufPGNXxeHZVBB5LG6zXGOQVE0JwjV1wUJWEs6ge8fxADAlcsc647/HedS66xxOMRlb2KFqjo7gmTzDTsPawCACEQqhuL96hp2a7zC13nWTKne2u3G3IqTMGdTZeYXHwINLvh40b1n7ibVuRXg88v/p553LmmQhqVLL1pYu7e9o9FjZc7mGiV2V6MLuHWz2ZZKTzOLXb2lGs8+N9K+oacHgrGJ1jCCuKkmqmYQEK0F3UaC5sq2QFMhmthaLKaaGp0mrGCedIoXUpKCdPojzyCPJ1r1tb7FeZIF/5CqTTifKrhZFO2THSHSc2rbPh8tLEBi9k/WVuZBL6j6ytCH0xvMEZ1l++j6SaoP/wwXmvr3idSIn9TAKtwYY0yNO4IopAa7Rh61NhFeNrcHAQoCCGMKTCI+LxeFYdxeLxJ7DZtqMoPkPOXVFRgdXaiMXSlLUh/Egi1VJ5nYHGwLUOBQ14KovwiGf7o1Q6lLyaaCzHlU0po/q5/pWvM+9QKrY1ZEB8cIZQ3T6s8Umck6kyastdJ4emDrHRtZFqmzHJ7E3OJgL2wOrtlpNJOHwYeckeY7o8WizI3bsRBw8uqqG8HIlwkr5DEeq2O6kILv2g3LjTidUpst5Bmzx3Bi0eI9i6fdF7QghqtrQydrp79gG1oqIiZQhfAGERcBEbwsWgPejk+EgcfQ1tL00uEKRE+c//RPp8yDe+sdSrMQavF/nyG0ncdx+MjOR0qJSS3uciuHwWajaXJjZ4IW6fFf8mOwNHouhZxrMupFje4AyVDU1U1Ddy7rkns/JyAlhGkigRSWJT8bzw6nobSlxiGV3Z2z44OIjHc77MnNHUpWuyDg2tHJqgaQNoyTOGhUXMxeHYS0I9gq6v3MhlSpccUeFag42BNiv4BDy2iiGsS8lz/VEua3ChGPigurHKRrXTwqHBlWs6ewefRHXWEKvKv2LDQmbqUt79isEnlh0TSUY4GTrJnkpjwiIgZeztqdzD4enDaHIFT3hXFyIchksuMezcXHIpYmICzpzNanjf4ShShw1XLB8OY7Er1Le5GDsdJxFZPc9ppPM4QrFQs3npGghV6zagRsLEpiZnXxMJeUGERcBFbAhHIsbECq5EW62DmYTOuancOy+9WCmGLoVAPPoo4mQn8p3vBFfhDaRiIV/zGkAg7rgjp+MmelVCI1q6YkP53Oya9rhRo5LhztwbL0BxvcGQ+oFdf9leZoYGmOo/nzS30nViP5NAWkAtYnKi1mBFipXjhDOJbPX19QX7TjgcDnw+36qGcCLxXGq8AdUiMmQ0cTj2ATrxxLMrjn8ykaoWcY3d2J9ZixBc5RA8lZAkV3h46hpLMBXXuXydsQm9Qgj21Ds5NBhb/uFNSrwjzxGuvdwYz2iapNNP1NeKZ/gZYOnr5PjMcZIk2VWZezvtldhVuYuYHqMnvHwdAHHwEFIRyF3GnVtesic998FVxyZVSf/hKDVb7Lh9K5csa2h3InUYOr76DtpYTyfVGzZhdSxdQrGqMdWwJHMPi0QiKHGJNPi7XyjKo7hbAcinA1GutKfjhDtG4mzwlYdXrNxZTpdpbZpjM8c4HjpOX7SPJEl0qSOlREfHJmxscm9iq3creyr34LQUsVpDPI74wQ+QmzcjD+wv3nmLQSAA116DuP9+5C23ZG3k9z4fxu5W8q5HWSh8TTbcfgt9h6LUbXfmZJBlvMHN199YFG9whoadl3Dint9y7rkn8a1LVapc9v4lJbbeBGqjDWzFewCRdoVkjQXrgAp7lv5sRkdHSSaTBQuLyFBXV8fJkydRVXXZhLx44jkslnqs1gbDzpvRxGbdiiKqSMSfweVc/n7wZEJSo8DWAvzK7rUL7opJjmmwc5mNgWf7owjgsgbjv8uXNDh54HSYM5Mqm6oX//Y5pk9hjU8QChqfUBwOXoa/+xeIZIJYbHFd5o5QBzZhY6t3q6HnbatIJYkdnTm67Nzi0EFobgEjQwD9fuTGjYiDzyPfuLCp73yGTsTQ4pL1l66eHOmutlJRZ2W4M876y5ZPdlZjUWaGBmm+fvnuqRW19QjFwvTAOerbdxGLxXAnJLr3wjCEL4xV5kGmy00haaywUuVQOFaIOGGp45jsoqbzVjY8+mma73kvLfe8h5b/eTebH/hD6g/9M5W996KoxtZOLTRzdZFScmT6CF/t/iofO/Qx/rHnH7lv5D4iyQi61FFQsCk2XBYXqlS5Z+Qe/rHnH/n9Q7/PN09/k77YwnLWhUH8+g7E6Bj6+98HF3iy31JU3nILIhJFPJhd+9iZEZXJXpV1l7gWJWKUGiEETXvchEY1pvpz26kptjc4g9XhpGHnJQwePYSaNraWu39ZxlNhEWpT8ZMTtQYblrHkbDb4QgYGBlAUZbZDVKGoq6tDSsnIMuE8UqokEoex2y8z9LwZTYRQsNsvIZ44iJRLfxZJKXk2IbnCLgriHb/UJlCAZxPLb2s/0x+ltcZOldO4JjMZ9tSnHoAPLhMe4RlJeeTDtcZqABAOXoqiJ3CNdyx5nXTMdNDsacauGOucqrRWssG1gY6ZjqUHhELQ1TXrwTUSecklcPz4qmXUBjuieAJWKuuzuz8Em52ERjSi08uHPE32ngEk1Rs2LTtGsVqpqKuf9Qj7/X5EQke/QEIjLlqPcDEQQtBWa2xjDaGr+M7cReDED3GEUp2t494m4hWbQChIwBYbxd/93wQ6E+gWB9PrDjCy7V3Eq5oNW0ch0aXOg2MPcsfQHfTH+vFavNxUdxN7fXvZ4t6CVVn6a6npGifDJ3ls/DEeHnuYh8YeYm/1Xt7d9G5q7DWFWez4OOKXv0BetQ/as+sqdKFhaW9HbtmCuOtO5CtfsepWZt+hKIpN0LijPENEarc66XksRN+hKL512f0YhoaH0t7glxXVG5yh6fK9nHv+KQYOP8+GK5dPLrL1qkgBWgkMYbXBhvNwDOuQhrph8ec6NDQ0W+KskNTU1GCxWBgaGlqyVrGqHgPiOOyXFmwNdvulxOIPomk92GyLY2A7NAhJ2FcgQ6BCEWyzwtMJyXuXcOaFEjqdYwnevsZOcssR9FhZV2Hl4ECMN7YtLo3mGX6WhLsB1WNsLWmASGAPEoFn5Hng5fPfS0Y4HTnNmxreZPh5Ador2rl35F5UXcWmLLgGDx9G6BJ9TwEM4UsvSTVAOnIElinLFh7XmBnWaH6JN+uHr0Czg57HQox2x5f1Ik+cPY1QFHxNK1fBqGxYx9CxI7PhMhdSstxFawiranHidncEnTzRG2UkrBH0rO3j9Aw/S+NzX8QROke0ehvnLv8zwnVXoLoXbzUKXcU1foyqs3fjO3sPVWf/h8lNr2Zox4fRXOVb0eDY2DH+8fg/0h3pZrN7Mx/d9FGurr46q6d3q2KlvaKd9op23tb4Nu4avos7h+/khakXeM/697C/Zr/h3hdx622gJdHf/W5D5y0nNE1DvvomlH/+Bhw+AruXj29LRHWGO2M0tLmwFqNiQR5YbIL6dhd9hyIkwknsWbS1PfPUoyhWKxuuNKYlcK5UNTRRWb+O3ueeZP0VVy17/7KdS6DVWotTLWIByYAFaQPrgLrIEM6UTduyZW1dvLLBYrEQDAaXjROOJ54DrNhsxsaIztXE7rgUZiCReH5JQ/ipuI4CXFbA8JUr7IIfRiTTuqRSmX+eI0MxdHnec1sI9jQ4ua8njKZLrHPPL3U8oweZabyuIOdN2iuJVTXjGT3I5ILr5HjoOBKZdSvkXNlRsYO7hu+iK9w1GyqRQRw5inQ6ocW45MBZtm1D2u2Iw4eXrU88dDwGAmpbs2uFDuCqsuAJWBk7tYIh3HuKyoZ1WGwr/0Z7ArWo0QiJSBg1lkBoF0YNYbiIQyMmJyeLcp7LGlM3mucH1layyXfmLjY/9AmQktPXfonul/47k5tfu6QRDCAVG5HAbgYu+xNOvvpnjLXeQtXZ/2HrXW+n5sSPZusslgsJPcF/9f4Xn3j6E4wmRvn45o/z+e2fZ3/N/ry2sKpsVbx93dv5+/a/Z6N7I9868y2+2PVFxhPjqx+cLQMDqdjZV74C0tnqFyOTk5PIa65BVlag3HnnimMHj0aRSWjcXZ7e4AyZRJDB46vnCiQiYfoPP0fjrsuwu0vXGKTp8r2EhgeZ6utd8v6lzCSxTOqo60tUs1kRaHU2rAOLs+Yz3d7qinSd1NXVEQqFCIcXh4aljNM2FMXY7+hcTSyKD6t1M/HE0o0OnlIlO23gVQpnCFxpV9CB59XFCWuHBmM4LIJtgeyNoly5pN5FTJOcGJ2/I+qc6sKamC5IfHCGcPBS3GOHmRqb32Xw2MwxrMJKq2fp6gZrpc3bhkBwdGZxR05x9Ai0tUEhdkRsNti+HXFk6U6gUkqGT8bwb7Bn9eA/F/8GO9ODKsklwmySmspU/zmqN2xedR5voBaA8OgwU8Op8oamIVxiamoKtFW+gA1VNmrcFp7tzz85zzV2hMZn/x+h4GV0vfx7hBquySnTNmmvZHDPx+l85Y8I1e2l4fA32PTQ/8ISW73WZjEYiY/w1yf+mruG7+J161/Hl3d8mWv91xriva1z1PHZrZ/lvevfS8dMB3927M84GTq5+oFZIH76U7DZLp5yactQU1OTarBx443w7DPLllKTuqT/SBRfkw2Pv7w3k9zVVqoabQwcja5aluzcc0+haxob9xY3NnghDTsuwWK30/vck0vev2zphhalCIvIoDZYsYR0lAWtrIeHh3E6nUWrE15bm/rRXRgnnEyOoWmnCxIWsVATu/1SVPU4uj6/csGELunW4ApbYX9et1nBI+CZJcqoHR6K0RZ0YCtgDP/OupSRfWRoviHsGS5cfHCGcPAylGScuuT8LoMdMx20eFoMjw/O4LF62OTetNgQnpxEnOtD7thRkPMCyJ07EWfPwhLd9KYHNeIhndqtue8AVK+3I3WYXCKnYrq/D5lMUr1+06rzeOYYwtXuVEjOhVI14sJYZR4Uq4OZEILLG1wcHIiSzKLTz0Ks0RE2PP7naK4gvVf9f0hr/ltZqqeRs1f/Heeu+HPcY0dovveDOCeO5z2fERyZPsJfHP8LBmOD/HHzH/OJHZ/AYzXW66YIhVfVvoovtH0Bt8XNFzq/sHxCQ7b09iIefgR506ug2pii7OVK5lqRL385SBD33bfkuNGeOPGQzrrdxrRrLTQNO1zEpnUmzy0fJiV1nd7nnsS/qRlvbWm9/laHg/r23QwdO4yuLfa62npVtGoLutf45Kds0RpSRvhcr7CUkuHhYYLBYNFK6VVWVuJwOGY90RkSiYMAhifKweLflJSxnSShHp73+sG0YXpZgb1hFiG4zCZ4JiHnPexNxpKcnlTZXcCwCIBKh4UNVTaODs93AnlGnifubSpoiF4kkIrDdQ4+c/61ZIRTkVMFC4vIsKNiB13hLhJ6YvY1cTRlGMsdhTu33Lkz9T9HF/+2jXbHEArUbMpjd7XBhmKBibOJRe9N9afylKrS1WxWwllZicVmIzQ6gkhfAxdKjPBFawgXk8sanYRVycmx3JLmRDLOhsc+g6JFOHPN35N0GJDYIASTm15Dzw3fBAFbHvgDKvofXfu8OSKl5I6hO/hC5xeotFby+bbPc7mvcFtlAOtc6/i/2/4vAXuAL3Z9ccntq2xRbr0NnE7kG1YuV3NREQzCJZcg7r0v1SFpAX0vRHFWKHndbEtBsNmB1SEY6Fg+bGm0+ySxqUnWX25844V8qN+xh2QiQf+xI/NeFzEdy4hWurCINHqFgu5RUmXU0szMzBCPx2e9tMVACEEwGGRkZGSeERhPPI+iVGO1bir4Gmy2NoRwklgQHvGcKvEIaC3CpslldsGIDv1zdrUPD6UM00LGB2fYUevg2Gj8vBNIStxjh2cN1UKRdFQRq2rG1n++w9/J0Ekkku3exd3PjGS7dzua1OgOd59/8ehRpMsFhYyRb96CdLkQR+Y/eEkpGe2JU73enlfehmIVVDXamehdbAhPD/ThrKzC4V19p0cIBU9NLeHRYYilfj/M0IgSs1xpnUJwSb0TRZBbeISUrHvm73BNnODc3v9LvMrYCyhWvY3ul/47scrNbHj8z6g6e4+h869EUib55plv8sNzP+RK35V8bvvnaHCm6nkWWhefzcdnt36WoD3IFzu/yJHpI6sftJCeU4gnnkC+9rXG1oMsU+Zqor/8RsT4ODw//8c9U46scZcbUcC4RyNRrIK6bU5Gu+Oo0aVj5nuffRK7t4LabeVREcS/aQt2t4eTjz8873XbORUBJTeEEQK13op1SJtt+ZrxyhbTEAYIBoNEo9HZOGEpJWriBey2PQXxTC+8dwlhw2bbRSI+/1p5PiG5xCawFME7viedjHdoTnjEC4MxXDZBi7/wD6w7ap1EVcmpiZQRZZ85izUxRbhmd8HPHa7ZjXXweZApo+tk6CQKSsHigzNkagifCJ2YfU0c7YDt28FSwN0aiwXa2hbFCYdHNWLTOoEt+ceDV2+wE5lIElsQ8jQ90Edl/bqs5/EEgoTHRpgemQRMQ7jkVFYuLulSKLwOC9sCjlV7r88lcPJH+HrvYXjHhwuXXeus5vT1Xycc2E3T05+joi+7OrFrQdM1vt7zdR4ae4i3NLyFT275JC7L+aSVYuhSZavis1s/S52zji92fZHD04dXP2gOyk9+gvR6kK99TYFWWF7M0+Syy5A+H8o9v5s3ZrAjilCgvq28GmisRsMO17JJc9GpSUa6jtO05wqUQv6A5YCiWKhr28lI53G0xHkPja1XRfco6L7Sr1Ors6IkJMpk6kdzeHgYj8eDx1PcRMNMveKMgZpM9qLLKex2Y6tFZFjq3uWwX0pSH0RLDgLQn5QM6nBpkQyA9RaoFnBInW8I76x1YinCA+uO2pTxdTRdQtQzdgiASKAwGswlUrMLixbBMXUKgJPhk2x0byx4s6UKawWNzkZOhtO5KFNTiL4+ZBHKa8od7Yj+/nlxwqM9cRBQszl/Q9i3LvWAPbf2uhaPER4bobIxe0PYVe0nNjWFk9R8piFcYhzLtAIsFJc1OOkcSzAVW74wdQbvwGPUHf5XJptexsj29xR0XbrNw9lr/p5o9TbWP/lXeIaeWv2gPEnoCb7S8xWemnyKdze9m7c2vnWRZ6ZYulTaKvnL1r+kwdnAl7q+xAvTL2R34IkTiOeeS4VEFPmHvVTM08RqRb70Bnj+ORgbA0BPSoZOxAg0O7C5LqxbhqfGSmW9dcmkuXPPPwUSmi5buhxRqahv301STTDamY7vT0qsQyrqOpuh7WrzRatN7flbh7TZxhaFbqKxFBUVFTgcjllDOJFIPfAWyhBe6t6VOZeaSO08PZ+JDy5S1z8hBHvsgoNqKk54NKLRN6Oxu644D6xBj5Vaj4WjwylD2D36AprdR8K7cs1ZI4jUpGJm3WOHScokXeGugnuDM2zzbuNk6CS61OFEyiCW27cV/Lxyezrs4/j53J/xswkq66zY3fnfm70BKxabYHrwvCE8PZhKRKxsaMp6HrfPD0j0UMrxYBrCLzIua3QhgYMDK4dHOKZPs/7J/0vM10rfFX9elB823ebh9Eu+TLxiIxsf+wzu0UOGn0PTNb7S/RWen3qeD2z4AK+ue7Xh58iVSlslf7H1L2h0NvIPXf/A8ZnVEweVn9yKrKpC3nRTEVZYnsiXvQyhy9mkubFTcbS4vOC8wRka2l1EJ5NMzYlr1ZNJ+p5/mkDLVly+wnehzIXqDZtxVlYx0JG6Tq3DGkIDtbE8KnVIr4WkV8E6pDE5OYmqqkUPi4DFccIJ9TCKUovFUrykR4tlfardctoIf05NtVVeX0TH/SU2wZgOfUk4PFi8+OAMO2qddAzHkFLiHn2BSGB3UX7XVE8jSVcA99gRzkbPEtfjhrdVXo5tnm2Ek2H6Yn2I48eQVis0F6Gh1ZYtSLsNkTaE1ajOzJBG9Ya1OZiEIqist87zCE+nu8RVNeTgEfalEsu1qQjSBlwoYXSlXkChKFYd4QwtfjsVdoXnVqgnbElMs+GxTyMtDs5e8//WVCEiV3R7Jaev+yqqq5aNj/wJzokTqx+U7dxS5xunv8Gh6UN8eOOHeXnw5cuOLbYuldaUMRy0B/ly95cZii9dhB+AI0dSBcvf9CZwXphGXz4s0qSuDrl7N+LeeyGZZKAjhsOrUN10YSTJLSTY6sRiFwwePf+QOtJ5jHhohvWX7yvhypZGKAr1bbsY7TqBFo9j7VeRCmhZtk0tBlpdKk54ON3UohSGMJyPEw6FZkgkjmC37yzYuZa6dwkhsNl3klAPk9R1DiYkl9oK01Z5OWbjhFXJkeE4HrvCpurifVd21DqYjOmMjg7hCPcRril8WAQAQhCp2Yl77PBsycytnuIYwhmD+2ToJOL4iZQRbC/C/dFmg5ZWxLGUIZxJcPNvXPu5KxvshMc0tHQL9amBPpxVPuweb9ZzZJwK8akIepk2XFqKC2elOVLoNp8LsSiCSxucPNcfW7puqa6x/onPYgsPcubqv0N1F79UU9Lp5/T1XyNp97Lxsc8YUmdYSsl3z36XJyae4F3r3sVLAy9dcXyxdYFUTNcft/wxEsmXur5EJBlZPEjKVGyw3498xfKG/MXIUproL78RMTpG7KkjTJxNUNfmvGCS5BZisQlqWx2MdMfQ0kXjzz33FM7KKgIthd/OzIf1ey5D1zRGOo9h61fR6qxgLZ/PX6tNxQmPDIxQUVGBs0QPjpmQjNGxF5ByBrvB3eTmsty9y27fha6P0ZUYZUoWvmzaQpos4FdShvCxkThtAQdKEQ3xHbUp7UNnUkmDkUDhE+UyxGsvwRHuo3P6CNW2agL2QFHOW++op9JaSddEB/R0nw9ZKAKybTucOgWxGONnElidgorg2n9XqxrTccLp8IiZoQEq63Jrke2srEIoCkpMv2DCIuAiNoS93uyfYozi8kYXE7EkpyYX1y2tf+Gf8Q4/Q/9lf0K0CIkEy6G66zh79d9hiU+y4YnPgr64Xmku3NZ/G/eO3svr61/Pa+tfu+r4UugC0OBs4FPNn2IwNsg/9fxTKrZrLgcPIo6fQL71rcV5si8jltTkiiuQVVUMPz4AQP328u4ktxp1213oGox2x4lNTzHa00nj7stRlNInny3F+vZd2D1epo71YJnS0RrLxxsMkKyzoiMZnRgrSXxwhowRHo0eBCioR3i5e1fG+H4unoqpv7RI8cEZhBDssQkORpKcnVJpCxY3P6ap0kqVQ8ExcghdsROrLt7DpbIxVfawc+YEWz1bi+aJF0KwzbuN+MmjCC1ZlPjgDHL7dkQyiTzZyXhvAv96uyFOiso6GwiY7lfRkxqR8dGca6sLRcFZ5UNRBdJpGsIvSi5tSD0ZL6we4Tt1B4GunzLa8jYmN69uLBaaWPU2+i//NJ7R56l/4Z/znue+0fv45eAvuSFwA7c03mLgCgvDjoodvGf9ezg4fZBfD/36/BtSovz4J8jaWuQNB0q1vPLCZkM/cICB5Hp8dQJXVXkajNlSWW/FWWVh6ESM/sPPg5Q07ilc56u1oigKtVvbsQ+mHtjUMjOEda+FEXcYTdcIBIrjhVsKIQSBQABF6cSi1GGxFD9Ew2JZh6JUc0QVNCgQLGA3t+XYYxNMjqe2yYttCAshaK910BTuIOrfgVSK911VAzsYsDkY1meKFh+cYat3K3Wn0ruq24q4s7R1K1IIwkfOoUZ0qg0Ii4DUzllF0MrUoEp4bBSp63iDue9cu3x+LJqCNEMjSs9SPegLjd9tZXO1jWfnGMLO8WM0PvclQrVXMLj740Vf03JMbnwVoy1vI9D1U6rO3J3z8cdDx/nume+yu3I3H9zwwayfxEuhy1xeHnw5V1dfzW19t51Pnnv6aURPD/Lmt6VisF5kLKfJ5J6XEXMFqY8dK/KKjEeIVE3hid4E555/Bt/6TXj8pTPgViMcDlO7rZ1a+3pUexK9svxu1YPeaQACRWpnvxw1NdV4vf0oSltBz7PcdSKEwGbdxTFZy84ie4MzXGITKJMJhICtgeLvaO3yS7bKU4z7CueRX4pwXOOZ6k0ARTeEt3m2se2cJFLvhyKWa8XjgY0bmDiX2s31rzFRbi4VdTZCIxozw6lygHkZwlU+rNJ+wXSVg4vYEE4kFndJKQaXNbg4NhInouogJQ0v/DNJeyW9V30OlPLI+s4wuPvjhAOXsu7Z/4dz4mTWx40lxvhq91cJOoJ8YvMnsIjsvYWl0iWDEIIPbfwQtY5avn7q60zFJ1KxwY2NyOsKU8+53FlOk8EhDxY9Tu2TP59tnnAhU7fNiUwOEJ0YZd0lhe1yuFYSiQT+DVuoc21ilMGyKJu2kEExQYXuxJsobWKpvyaKzZYgEilsya6V7l3Dtr1MU0m7ZbKga1iOdRawTybwVNpwWov/s36V4xRWoXPMUtyY+0QiwbMVPhy6ZLM9t3jWtbLZuZHtfZLeTcUP95PbtzOR8OHxW9ZUNm0hFUEryYRksncw3Sku97AnV0U1NsVO8gLyKV20hnB1dXVJznt5owtNT5Wx8Q49hWf0ICNt7yNpL+ITY7YoVs5e9TmSDh8bHv8zlMT0qock9ARf6f4Kqq7yx81/jMeaW63dUukyF7fFzSe3fJKQFuLBX30BcbYX+fabC9sVqIxZShMtoTPSHaM2EME62AfHLnyvsKvKgmI5BsJG3fbSxelnQ3V1NY4JgU2xc3rkEHJhTHuJkVIyHB2nXvqwDi3OiSgmDsdZAMbGC+uZXunedZIdAGwjj06WBqBLYCpBwlea/IatWicAj8Y3F/W81dXVHLYk2ZGI453uKeq5rQNDeGJwuLH43399axtTFZvwVWbfxCsbKupS1uv0wCBufw1KHsntHrcPAJW4kUsrKBetIVwq2oIOnFbBc/0R6o58i4S7gYktry/1spYl6azm7NWfxxYdofH5r6w4VkrJd858h55ID3+w+Q9Y58q+vmC5sdG9kfc1vpt9/3OaqcZq5NVXl3pJZcVIZxxdg/qXNCGdTsT9D5R6SWsmqaokQsdRbC3Epsr/ocfap6ILSf/EcabSNT3LhZmZGeKJBHVWf6rdcgnRtOOoagXDJTTIO5JVeJkhqD5dkvOfmkigJyWhKjujyeLv3lRMHaNP1PPcRHF3B1RdpUcbY3csgWu8uA/rmVq+j9WOo60x6TxXpmu3oVsc+CJnDZ3XXW1BsUJkfBhPML94e5ezCoDYUtWZypSL1hAu1Ra8zSLYXeeksu9BXJMnGN7xwaImD+RD1N/OcNv78fXeQ1Xv75Ydd+fwnTw8/jBva3wbV/iuyOtcpQ6NmMtLOyw0TsC/XxOmLzFQ6uWUjKU0GeiI4vZbqFjvRl5zNeLxxyBqrPeh2AyfOIquxbE6dzB0YuXGN6UmkUikyqYFFJIiyfDxjlIvaR6jo6MABAIBrMNayUJnpJSoagd6cgtTU1MFvb+sNPcRVdImhtC0jqXLZxaYY6Mp75vus3NUK/753eMd9Lu20TmWIKkX7/wnxk+gySRt0oF7/GjRzgvAyU5Ur4tzPo0z0TNFPfVkKFXFx3f2OUPnFYrAUyNQoxN5xQcDuGwVAMTVkJFLKygXrSE8NacXd7G5vMHBB7RbCXk2MbnhFSVbRy6MbH83Ef8OGp/7B6yR4UXvd4Y6+dG5H3GF7wreWP/GvM9TSl3moaooP/0ZWvMmjmxz8a3T31pcUu1FwkJNwuMaM0Ma9W0uhBDIG25AxOKIJwvXnrsY9B16FmeVj9qtLQyfjKGXwHOWLdP9E1imdJLrnfg3bmH4RJF/5FdhdHQUh8OBq6ESJS5RZkpz7ST1IXR9AoczlaQ1lm4LXgiWu3eNJSX9Ouy0aej6GLq++P5ZaI4Nx6lxW3C4rBxRi/u9tkZHsEVHiPrbiWmSM0uUDy0Uh4ZS3Reb3c24JorsEe7sRG9tBiHoCncV9dxTfQk8chL78UOGP4Q6vFOAxFOTnyHssLoBiMRXD7UsFy5aQ7iUJX1e7jhKq9LHfdVvgxwSyUqKYuXc3r9C6CpNz3we5hiFIS3E1099nRp7DR/d+FEUkf/XppS6zEXcdx9iZATxjt/jfRvfT2e4k98M/abUyyoJCzUZPBZDKKnkMgC2b0fW1yEeuL8EqzOG2PQUYz1drNt9OfXbXagxyfjZ8tmdWEj1dCoTXG20UbttB+GxEUKjxTewlmN0dJRAIEAyHVNoHS5NeISaSHnKqyovRwhRUEN4uXtXxgO725HqqpVIFN97f2w0TnvQwXab4GiRDeGMJ9bZlHoYOT5avNjQc8lzVForqazehSN0DksWeS6GEA5DXx/Wre34bL6iGsJ6UjI1oOLzJRCTk5DenTEKi3UcAKsjv5h7q566J0Qia2/YVSwuWkO4mC0uF9LSfzvjVPLjyJUlW0M+JLxNDOz5BN7hZ6jp+hmQ2nr81plvMaFO8Iktn8g5OW4hpdRllngc8d//jWxrgz27uab6Gq70XclP+39KX7Sv1KsrOnM10ZOSoeNRajY5zmcjC4E8cAPiyFEYWqFFdRkzcOQgIGnYfSnVG+xYnYLhk+UbHiFPh9E9CnqVQnBrqizY8InyCI+IRCJEIhGCwSB6pYLuEFhGSmQIq8cRwoPDsRmfzzcbslEIlrt3HVYlDmC7vQ4hPKhqcXUaDWuMhJNsDzrYaYMuDaJFDM9wjXWgCyvu+u34nEpRDeETUydo8bQQq0klKxYtTri7GyEltG6lxdNSVEN4ZlhD16CqOZWAL05mX/EpG3R1FFBQ4768jlcSqe9eKDxu3KIKzEVrCJciTgvAFh6gYuAxnq58Jc8NJVHLePt1KSY2v57phmupO/yvOKZ6uHvkbp6ZfIZ3rnsnzZ7mNc9fKl3mIv7nHsT4BPo7bgEhEELwgQ0fwKE4+NfT/0pSJku9xKIyV5PxMwnUqKS+bX7Si9x/PVIIxIMPFXt5hjBw9BBVjevx+AMoFkGwxcnYqTjJRBmGwyQl8mwEtdEKQuCq8lHZ0FQ2hvDc+GCEIBm0lswjnFA7sNm2I4RCIBBgfHycZLIw1+9y964jqqTNJrApFmy27SSKbAhn4oPbgw522AQ6cKyIXmH3eAcxXytYnWwPODgxUhxDOJKM0BvupdnTTLR6OxKBq0hxwqIzVSWD1hZaPC0MxgeZ0WaKcu7JvtROlm93A9Juh5Odhs4fmxlBsVYTHs3v3ijiEg2VWGjS0HUVkovWEC6kZ2Al/D2/BGCy+Y3Ek5Kjw+XrdVoSIei7/DPoNjex5z7HD8/9kMuqLuOm2psMmb5UuswSjSJ+8Qvk7t3Q3j77ss/m4/0b3k93pPtFFyIxV5PBY1HsbgX/wm5FwSDs3Il44AHQy9B4XIHQyDAzg/007Nwz+1ptqyPVcvlU+YVHWEc0UOW8bnLBrduZ6uslES59AsrIyAg2m42qqlR2uBa0YpnREdHifi90fZpkshe7LXUdBwIBdF1ncnKyIOdb6t4V1iXdGuxMS2W3tZNMnkPXi5cLcWwkjsMi2Fxtp90qEMDRYoXpyiTOieNE/SkNtgUc9M1oTMcL70zoCfcgkTS7m9FtHuKVG4vmERadncjGRvB4aPW0AtAd7i7Kuaf6VDx+CzavDVqaEZ3GeoRDI8PYPQFCee7yKHGJKlRi02aMcMnJ3KSLiUjGqT71a6YbX8KWDRuwKvBs/wVmCANJp58zez7B3zim8WLhIxs/YlhIQyl0mYu48y7E9DT6LYtbQl9dfTV7fXv5af9PORctr3JVhSSjSSKcZOx0grrtziV718sbbkAMD19wNYUHjh4EIahv3z37WlWjDYdXYbiz/K5Pa7+KVECrn2MIt24HJKPdxv7o5cPo6Cg1NTWz9wStNlVr1Frk8AhVTZWvstlSoSM16Q53hXrYXuredUyT6MCudEc5my21RZ9Qi3eNHBuJ01pjx6oIvIpgs4WiJcw5pk5hSUaJ+FN/9/Z0e+cTo4V/wOyOpAzPzE5ltLod90RH4SuYSAmdXcjWlAG8xb0FgaAzbKxndilS8cEJqtalHBWydSv0nALVmCefpJogOjGOu7qW8JiGzKMCiIjr6DZJPDRdFjvA2XDRGsJ2e/ELi1eduw9rYorx5rfgsinsqnPy1LkLp5beXL6rjHPCYedvhocIJIxri1wKXWYJhxG334684nLY2rrobSEE79/wfpyKk2+e/uaLpopERpOhEzGQLAqLyCD37UW6XIj7L5ykOSklA0cO4d/UjKPifFMbIQTBVicTZxOosfLS2davoqxzwZx2vZX1jdg9XkY6j5dwZRCPx5mZmZmXOJb0W5AWsBQ5PCJlbFqx2VLXstPpxOv1FswQXuredUSVKECbNWMItwC22SS+QhPTdHrGE7TXnm+zu8Mm6NAkySIYIe7x1N+Z8Qi31thRBBwvQnhEd7ibde51eK3e2TVY45PYIoOFPfHICGJqCtKGsNPiZL1rfVHihDPxwb51qYdkubUVoWlw6rQh84dHRwBJZUM9ehIik7l79kVcgkOgaxrJxIXRVOOiNYRLgb/rv4lVbCRcm2rfelWTm74Zjd6p0nZeypXjoeP8eujX3Oi7mv0xlcbnvnRRtNgVv/41IhxGf/vblx3js/l47/r30h3p5t7Re4u4utIipWTwWIzKBhvu6mW6CTkcyGuuQTzxxAVTU3h64BzRibF5YREZalsdSB1Gu8vnZi3COpZJHbFpflKqEArBlm2M9pxE10sXwz4vPjiDRZCsKX6csKp2YLO1IMR5AzUQCDA2NlY0T9RhFZqt4E7voAhhw2ZrLVqccOdYgqSEtsB5Q3inTRCV0FMEOVzjR9HslSS8TQA4rQqbffaiJMx1h7vZWrV19t+RtDFe6DjhTHywnONMafG00B3uLvj3biodH5zxCGeMcaMS5kIjqWTo6o0NAIRHc/8SibgEZ8q0jIdKH8qVDRetITwxUdzSHa7xY7gnjjHe/GZIbxnubUoVvX7yAvIKR5IR/uXUvxC0B3nXpo8wtPNjVAw9he/s3YbMX2xdZpmeRtzxG/Srr4bNK7cBvdZ/Le0V7dzadytTapnUPS4gExMTTA9qRCaSy3qDM8gbDqRqCj/xRHEWt0YGjhxEWCzUbd+56D1v0IrLZ2GojKpH2PpTD80h/2JjN9C6HS0WY+qcsd2kcmFkZARFUfD7/fNe12qtWCaSUKQteSnjqGoXNlv7vNdrampIJBLMzBifuLTw3qVKyXFVzoZFZLDb2tG0bqQs/PfqWNrzui043xAGitJYwz3eQbS6ffY3L7UWOyfH4gVtrDGeGGdcHWejbePsa7GqZnTFjrvQccInO5F2G2zYMPtSi6eFcDLMYLyw3uipARW334LdlTbd/H5kIAAGGsJCseDfWItQIJSHIazEdbR0VFc55DRkw0VrCBd7C97f/d8krS4mN55PKgt6rDT77Tx57sLwngF8v/f7jCZG+cPNf4jT4mS8+U1E/DupP/Q1LPG1G7GlCo0Qt98OiTjy7TevPlYIPrD+A8T0GD/q+1ERVlda7HY7g8eiKDZBsMWx8uBt25ANDRdEy2Wp6wwcfYFgy3ZsTtei94UQ1LY6mOpTiYfKo1KItV9FdwustYvXW7O5FaEoJQ2PGBsbo6amBkWZ/9Oh1VoREqx5/HDmg6p2ARo22/Z5r2c81YWoJ7zw3tWpQZzzhmeGlHGuk1BPGL6GhRwbidNUaaXScb5efa0CQaXwccKKGsYxfWo2LCLDtoCDqCo5N124ndCeSA8A26vn6K9Yifm24hovrDdedHbCli1gPb9z1uJpAShonLCUkulBlao5uQOQDo/oNOa8oZEhPIEgVrsVj9+auyGclAgVrBUph0o8XJxKGmvlojWEPZ611bvNBUt8kqree5nceBO6bf559zW5OD4SZyJaHj+0K/HC9As8MPYAr6t/HVu96S0nodB3+aexqGHqDn9zzecopi6zTEwg7rwL+ZLroKkpq0PWudbx2rrX8tDYQxyfKW1cZqFx2FyMdMapbXFgta9ySxACeeAAoqOj7GsKj5/pIRGaWTIsIkPt1tQNe6SrDMIjdIltUEVttOHxehe9bXM6qd6wiZGuwhtYS6FpGpOTk0s2ltACViQUrZ6wmk5Gs6cT5TJ4vV7sdntB4oQX3rsyhuZiQ3g7IAoeJ6xLyfGROO3B+bs4Qgh2FKGxhmviOAI5G5KQYXsgkzBXuGuqO9yNgsKu2l3zXo/423BNngC9QN9DVYVTp2YT5TKsc67DpbgKGiccGU+ixSWVDfMNYVq3IkZGwIDd1tDI0GxrZU/AmnNohIinvnPOmlSb5YvKIyyEeJUQ4oQQoksI8ZkVxr1FCCGFEFcYt8Typ/rUHSh6gvEtb1r03nUbPUjgoTPGJZwVglgyxnfOfIdGRyNvaXjLvPfiVVsYbX07/tN34Bo7UqIV5o/4+S8gmUTe/Lacjntj/RsJ2AN89+x30WRp6qQWg3Md0yTVxbWDl2O2pvADDxZ4ZWtj4MhBLHY7wda2Zce4q614g9ayaK5hGdEQKmiNtmXHBFu2ExoeJDo1WbyFpcnE3maqM8zDLtCrLUWLE06oHVgsTShK5bzXhRDU1NQUtMNchiOqZJ0F/AsqrCiKB6t1U8Eba/RNa8wk9NlKDXPZaROM6DBUwDr2rgWJchkaK6x47UpBK0d0hbvY4NqAwzL/b4/621GScZzTPYU58ZmzCFWdjc3NoAiFLZ4tBTWEpwZSHvaFhvBsrPIavcJaIk50cgJvsBYAb8BKIqKTiGSfTCziqbE2nxsQJC6WGGEhhAX4BnAT0A68QwjRvsS4CuB/AU8avch8CBVLAJnE3/MLQsFLiVdtWfT2+iobW6ptPHiqvA3h2/pvYyQxwoc3fhi7sjh8YaTtfaiuII3PfxnW0HCiaLpkGBlB3HMP8qU3QH19Toc6LU7eu/699MZ6uWv4rgItsPR0Pz2Kq8qy2NOwHIEA7NqJePCBsq0prGsaQ8eOULd9Jxbbyn9XbauTmWGNyGRpH3Zs/SpSgFpvW/Y6CbSktoJHu4q/S5Hxsi5pCJOqJ2wd1aCAsaEAUuqo6vHZ+sELCQQChEIhYjFjH27maqJLyRFVstO6dFlJm62dhHoCWcAH6Ex8cNsShvCO9Lo6CugVdo93EPc2kXTMLysnhGBbwF4wj7AudXoiPTR7mhddJ9HZhLnCxAnPJsq1Lq461Opp5WzkLAm9MA8A0wMqNpfAVWWZ/8bmzUirZc0Jc+F0C/e5HmGA0Gj2IS5KNPV9i1k07G438YvII7wX6JJS9kgpE8BPgDcsMe5zwN8DpXetkNrGKwYVA49jjwwy3vyWZccc2Ozh5FiC/pnyrB7RFe7iruG7uDF4I9srti85Rrd5GNj9R7gmT+Lv/mXe5yqWLhnEf/83APIty+uzEpdXXc5lVZfxs/6fMZYovJep2EQmNSbOxalvd+ZUK1oeuAExPFK2NYVHuk6gxWM07Lxk1bG1W1OGxEhnacMjbH1aqiavXSx7nXgCQVw+f0nihMfGxvD5fNiWebDQaq0IjVTSXAHRkmeRMjxbP3ghGUPdaK/wXE16kzAtF4dFZEgZ6XE0rUCeSVIlyirsCk2Vi6u8bLGCkwImzEmJa/zoIm9whq01Ds5OqURU4x+UB+ODRJIRmj3Ni66ThGcdmr2ycHHCnZ1IX1XKGbCAZk8zSZKcipwqyKmnB1UqG2yL79N2O2zajFhjh7lMxYiMIexNG8K5hEeIdClKzSaxe7wkQhdGjPAydZLmsQ7onfPvc8C+uQOEEJcB66WUvxFC/MlyEwkhPgJ8BKCxsZFgMAiknrQ1TcPn8wGpWpXT09Oz7+u6vugmPD4+jtPpxO12AzAzM4Ou67NFzx0OB319fbPxbMlkkvHxcaqrq7Gmg9zHxsZwu924XK7ZOaSUVFamtttisRjhcHj2xpqZw+/3Y7Gknspcj/+WpKsGx+43EbTYmJ6eRghBRUUqRiYajXJgs85/PDfJ08Pwvg3VTExMzJtjdHQUr9eL05namp6amkJRlNk5IpEIsVhsNlNbVVUmJyfnJa2MjIxQWVmJw5H6UZ+cnMRqteJNxxqGw2ESiQTV1dUAJBIJpqamqPJX8e8n/p2AM8A71r2Dqqqq2aSQiYkJ7Hb7bGxcyPkawqd/TX3Hv2Hd8zZiFm/OOlmtVsbGxmZ1isVihEKhguhUFY0Suv9+HG98E7HaWjwez+xnvJROkUhkdg5N05iYmKCmpoZPeT/FBx/5ID/q+xF/vvvPS6JTIBBACIGUktHR0ZV1yuF6Gjo0jhDQ2O7B4/Esez0t1El71SuZ+rd/w/nY41QcOGDY9TQ2NpaXTguvp9ETR3F4K9h25VXMhEIr6+RTqWqcZqxb5fKbUp9zsXWSIRVtcoLEpS6CwSBut5tQKLTk9dTQtpMzzzyB3+cjEoutqJNR19Po6Cjj4+O0tbURDAaX1mm9DQhTFXGS2OjMSqd87nt2e+rnqL7+JUxNsUinxsZGFEUhGo3idrsN06mxsZFIJEI8HufI0CQA19fVUGNTFuk0MrKTqWmw23sJBK5d9XrKR6fjY4O01Tqora1d8nraHRnjaEKloqJizdfTQp3s0WFssTGUDXvxeDyLdNoejKJLGEm6uKKx0tDr6WDiIADbKrcRDAZR080kMjol6/ZQMX2SysrKNdsRC3Wa7Okh2dJKtd+/SKerKq+CbjgdP83umt2G3vcmR2eITiVp2RsgGAws0im8Zw+xO+7A63bjSn9vc/19OhuaQbFYqd+4GWf6O+eomCA6IWc/w9V0Sp4ZRydC7cYGvNV+tEQMq9Wa9+9Tvjotdz0tRzaG8IoIIRTgK8D7Vhsrpfw28G2AHTt2yJGRkXnvr/bvha0zw+Ew4fD8kIPMMcFgECnlojkWlsAJhUKLtldWW8f4+DgASmKa7QOPMd78ZkbG569t7rac36Wws87BnUeHef0WK0KI2TkyzMzMLCr5s3Brb+E6Fgo7vaCloaqqRBfUe104x38c/Q9Oh07zJ81/gtviZmpqfrkwTdOIRM6Xf+vb8yla7nkPtgc+x/CVf7HknCvpFAwGSSQSq37GRug0/W/fQVisRF71StD1vD7j8fFxrFh5bd1r+fnAz3l24NnziYRZzmGETguTf1bTaak5Fn3G4xP0PDdOXasXq2vl62mpf4trribx4AOM/N67IH3jXMv1lCFfnTJo8Tj9HS+w7pIrGZvz+kpz1G510vnADKePDeANpm6+xdTJ3hXHDaiNNkZGRmaNTVh8Pfk2NdPz+EOceOZJgi3bllyH0dfT5OQkmqbhdrtnX1+kkwVsHoXEqUki671LzmmE1pMTT6Mo1UxO2hBisU4APp+P3t5eWlpalpwjH50ikcjsPIdViU+Ae2qcsbSHbr5OPixKPROTTyPly5b9W/LVaTqe5OxknAObfMt+xq0k+bEmGZ6exrWG6wkW6+QceD51nH0j0fQ9Y+4cW2tSDxVPdg2z0ZnaaTHqenp+8HkcioN6Wz2qqi46ZsrbQrD3UULjg2B1L/7+5GBHzPv3zAyWc+eQ1123pE4AAXuA41PHeWXNKw2972VqnVsq5/92ZuYQ65tQ4nFCR48SWlAeNNvfp5Gzp/EEgsyEQsyk/x5PjYWpofiqf0tGJ+dYBIcCMZlA2B2Eh4fQNC2v36e8dZpDtuVaswmN6APWz/l3U/q1DBXATuABIcRp4CrgV6VOmIvHC7/NWdX3AIquMrnhFauO3b/Jw7lpje7xwreezJa+aB+/GPgFV1dfzWW+y7I6JlG5kbGtt1B95re4R1/I+ZzF0AWA3l7Eww8jb7oJ0k+va+F1da/Db/PzX73/ddF0nBvvTZAI6zTtXFyhIBvk/nRN4SefMnhla2P4xFF0TcsqLCJDsNmBUGC4ROERmbJpui9diH6F68S/cQuK1VbUOOHMj+VSFSPmkqxNN9YoYGOBhHoMm61txVCeQCDAxMQEyaRxYRpzNTmiSnbaxIprsNnbUBMdBWmycGKF+OAMO2wCHThegDhh13gHumIjVtWy5PsVDgvrKqycLECccHe4my3uLShCWfI6ifjbEeg4JwxuR96VSoSTS3QlzdDiaSlIwtzUoIpQoKJ2ad+lnG2skX94RGh4cDYsIoM3YCUykUTPMsRGiUmkU5BIJFKhERdRjPDTQKsQYrNItfC5BfhV5k0p5ZSUMiCl3CSl3AQ8AbxeSvlMQVacJUt5CYymov8REp5GYr5tq469doMbqwIPnC6PpDld6nz7zLdxKqmEsFwYbnsfCVcdDXkkzhVDFwDl1tvA6US+calw9txxWpzcsu4WeiI9PDz2sCFzlprBjhg2p8BVl6ex0LYdWVeHeOABQ9e1VgaOHMTlq8bXtGH1wWlsLoXq9XaGO2NF60o2iy6xDaTKpmUaE6x0nVhsNmo2NzPSeaJoax0dHcXj8cxu0y+HFrSixCRKqDAPi8nkKLo+vGyiXIaamhp0XTe0gU9Gk9GkZFBfPj44g83Wji6nSCYHDFtDho6ROBaRamm8HO3phLmjBUhNcY93EPO1Ii3Ln39rwMHx0bih31FN1zgTPUOzpxlY+jqJVqdix42OExadXUghoLl52TEtnhZGE6NMqpOGnnt6IEFFrQ3Fssx3rrYWWVUFnfkZ/1o8Rmx6aklDGAnh8ezihEVMR3cqTE9PY3d7SKoJklp55kbNZVVDWKbSXj8O3A0cA26TUh4VQvytEOL1hV5gvmTiTQqFSCbwDD/HTP1V87rqLEeFw8IVjS4eOh0paMedbPndyO84GT7Ju9e/mypb1eoHzEFaXQzu/gNcU11Un/pNTscWWhcAek4hnngC+drXQDo+ygiu9V9Li6eFn/T9hGjywmmSshRqVGfsVJzabU7q6mvzm0QI5IH9iCNHYMGWVKlIhEOM9XRRv2NPTsl/AMFWB/EZnenB4iZ0LlU2bbXrJNCynejkOOGxwn/umfjM5apFzEVLe6wKVUZNVVNe8IWNNBZSiIS5jCaH0x7WhR3lFpKpcVyIMmrHRuJs8dtxWpf/Cfcqgk0W6DA6YU7XcE0cJ+LfseKw7QEHkzGdkbBxXvkz0TNoUpttYLHUdZJ0VpNwN+CeMDaRV3R2purQp+NUlyJjoBvpFdY1ycywtnJVHyGgtTVvj3BoZH7FiAyemnTC3Fi2hnDKIxwMBrGlPyd1QUhEOZJVHWEp5W+llFullM1Sys+nX/srKeWvlhh7oNTe4GLgHjuMJRklVLdv9cFp9m/2MB5NcmS4tIU1RhOj/Ljvx+yu3M11/uvymmO66WWEa3ZTd/RbKGp5bX8ot96K9HqQr32tsfMKhfeufy+T2iS3D95u6NzFZuhkDKlDQ/vKHr7VkPv3AyAefMiIZa2ZwWOHkVKnYcclOR8b2OJAWGCks7jXp61fmy2bli3B1nQZtSJUjwiHw8Tj8VXDIgD0KgXdLrAUyBBOqMcAB1brym3SnU4nXq+3IPWEj6gSJ9CySoaNxdKEEBXpNRuHpks6xxIrhkVk2GETdKgS3UCvrHP6FEoytmzFiAzbAilv8XEDwyO6w90AbHEvLlU6l6i/zViPsJTQ1YVsXToUJMNm92YUlNl1GsHMiIrUoWqV8pZy61ZEfz/k0V58YcWIDK4qC8KSvSGsxHT0dPtnuyuVHJeIlMcu+EpctJ3l9ALXN/UOPoEurIRrs4utBdi7zoXLKnjwVOmekKSUfPfsd5FIPrThQzl7zWYRgoFL/heW+BS1Hf+Z9WGF1oWTJxHPPot8wxugAF3sWjwtXOe/jt8O/Zbh+LDh8xcDKSWDHVEqaq14aqxr06S2FrljRyo8otghBUswcOQg3mAdFXW51YwGsNoVajY6GO6KI4u4a2PrV0kGU2XTMqymiavKhzdYx0i3wXGQS5BJhMnGEEYIkkFrAT3Cx7DZWhFi9TzvTGMNo7bmM5ocUSVtNoFllXunEAK7rc1wj3DPeIJ4UtKepSEcknDWwIp2yzXSWMimajt2izC0nnB3pJtKayUBe+q7uNx1EvG3Y48MYokZFBozOIiYmVnUSGMhDsXBBtcGQz3CyzXSWMhs7HJX7ucOjQyhWG24FuTTCEXg8VsJj2fxBZIy7RFW0HX9vEc4epF4hC9ECt1ZqGLwCSKBPejW5bdJFuKwKly9wc2jZ8MkCtjxZyWennya56ee5+bGmwk61hamEKvezuSm1+Dv+in2md7VD6Dwuig//gmyqiqVJFcgbll3C4pQ+OG5HxbsHIUkNKIRHktSn/YGr1UTecMBxOAgnChN698M0ckJJnvP5JQkt5DarQ7UiM5kX3Hi2kRExzKRRF03/0cuG00CLduYOHMKrcAJqKOjo9jt9tkyTKuh1VqxzOizNUWNQtejaNqpRW2Vl6OmpoZ4PG5YE5+xsTFCuqQnuXpYRAabrY1ksh9dnzRkDQDH0oZlppXxSpyPEzbu98Y93oFm95HwrFtxnFURtPjthnaY6w530+xpnnXgLHedzMYJGxQeITrTiXKrGMKQcpZ0h7sNS6qeHlBxVVmwu1Yx15qbkYrIKzwiNDKEN1BLqgjYfDx+a1YeYZGQCB2kUzA2NobdbXqES06mRl0hsEaGcU73pOKDc+TAJg9hVfJMX/FjTGPJGN/r/R4bXBt4Ze0rDZlzaOdHkBY79S/8U1bjC6kLLxxGHD6MfNObwJldu+B88Nv9vL7+9Tw1+RTHZ4rf2GCtDB6LoVigtjX1Q7pWTeS+fUinA3H/A2tf3BoYOHoIgPode/Kew7/JgcUmGC5SeIStP2Vwq43zPZzZaBJs2YbUk4ydKlxbV2A2Pjjb3aNCxQlrWiegL9tIYyEZD7ZRD98+n48OVSKBnVlGsdjsKa+pkeERx0fiBD0WAp7VveLrLOATxhrCqUYabVnlxmwLOOgej6Ma4PiJJCP0x/pn44Nh+eskWr0NiYLbqPCIzpNIhwPWr191aIunhageZSC29iRJKeVsI41Vcbmgaf1s97tcCI0MzbZWXoinxkIirKOu8mArYimNdaeSqgHsushihC9Elut+ZAQVQ6ku0qE8DOE99U58TqUk1SN+MfALxtQxPrDhA1iEZfUDskBz1jDS9j4qBx7FO7h6d+2C6SIlyo9+hAzUIF/x8sKcYw6vqXsNfpufH/b9sPhVBtZAUpMMn4wRaHZgdaQu/zVr4nIhr7oK8fhjUKzyeEswcOQgvqYNuKv9ec9hsQpqttgZ7Y6jF2HXxtqvorsEum/+9ZiNJr71m7DYHYx2Fc4Tv7BQfTYk/RakBcPjhFPGpMBmW71KD0BFRQU2m21RLdp8sdlsHNEkCtCWrUfY2gzYURPGGcLHRuK0ZeENhlR4RrtNGNZhTlHDOKZPE1klLCLDtoAdVYdTE2v3CveEe5BImt3nqzYsd51Iq4t41WbDWi2Lzk5o3gKW1X83M4a6EeERsekkalRSmWX+gNzaCl2dkEO4mxqLEp+ZxrMgPjiDO5Mwt0rliMwOkHQKbDbbrCFseoQvUryDT6K6gsQrV07YWAqLIrhuo4enz0UIJ4pXj7Yv2sdvhn7D/pr9bPNm90OSLWMtbyPuWUf9C18HvbgZ97M89RSiqwv5tptTLScLjENx8LbGt9EV7uKJiScKfj6jGOuJo8XlbFiEUcgDNyAiUcRTpakpPDM8SGh4kPo1hEVkqG11osUl42cLXPNbl9gGtHll03JBsVgIbGllpOt4wR7Gsq0fPA+LIFljfJywqh7DatmAomRX91oIMRsnbBRHVEmrFVxZ6iWEDZutlYRBccLDYY3RSJK22uwMYUjFCfclYdKAuHfXxHEEkugqFSMybEsb7EbECXdHUglomcoMqxGpbsM10bH23IVEAk6fziosAqDB2YDb4jbEEJ7OxAdnm0jbuhURCsNA9t7o5RLlMnj8KUM4skp4hDLHIwyp+5PV6USNmoZwyVjYtcUwdA3v8NPM1O3L68cL4MBmD6oOj/cWZ8tASsl3e7+L0+Lkneveafz8FjuDuz+Oc/o0/p5frDi2ILokkyg//jFy3Trkgf3Gz78M19dczwbXBn7S9xNUvfxrJQIMHIvirFDwzYlJNUST9jZkMIh44MG1z5UHg0cOIYRCfduuNc9Vvd6O1SEKXj3CMppEqHJe2bQM2WoSaN1GfGaa0PCg0csDUmERiqLkHD6j1VqxTCTBoC15KZOo6olVy6YtpKamhpmZGRKJtT/UDI6NcUxdvX7wQuy2NjStBynX/n06lmmkkaVHGFKGMBgTHuEaPwpAxJ9leIrbgt9lMSROuDvcTb2jHq/1/IPQStdJ1N+ONTGNPdy37JisOH0aoSWzNoQVobDFvcUYQ3hQw2IXePzZ7eBmEuZyCY9YzRB2eBUsdrFqwtxcj3BGF7vbQ8IMjSgdzgLFiLrHj2JRQ3mFRWTYWmOnwWvlgVPFeVJ6bOIxOmY6ePu6t1NpqyzIOWYaryNUewW1R/8dS2L5ZgCF0EXcex/iXB/6O9+R1daVUShC4V1N72I4Mcw9I/cU7bz5EptOMtmrUtfmmhfvaYgmipJ6CHnhBShwQuRCpJQMHD2Ef0sLDu/a60YrFkGwxcHoqQTJAnTlymDrV5ECtIbFsZ7ZahJoTrdYLlB4xOjoKH6/H0uO15VWa0VIsI4a4xXWkr1IGck6PjhDxpNtRHjEaWFDJftEuQw2WzuQRFXXXuHj+Egcp1WwuTr7Xa+tVrACHQZ8l91jR4lXbEC3Z/c7IoRgW8BujEc4nSg3l5Wuk6g/01hjbeERs0ZlloYwpMIjzkbPEtfX9ndPDapU1lkRSpbfuXXrkG4XnMz+uxYaGcJis+Na5mFXCJFVwpwSS8XPS4eY1cXm8qCaoRGlw71C0eu14B18EikshGrz7yAthGD/Zg8vDMUYjxQ2lCCSjPCD3h+wxb2FlwVetvoB+SIEA7v/CIsaJtjxH8sOM1yXaBRx263I7dth715j586C3ZW72V25m58P/JyQVl71lBcyeCyVoFm/ff6Ph1GayP37EVIiHipuTeGpvl6ik+M0rCFJbiHBVie6Khk7XbiYZ2tfqmyatC++DWeribOikor6xoK0W9Y0jcnJydzCIjLHBqxIYVzCXCbG1mbPzRCurq5GCGFIeMQxPaXTjpwN4W2AMCQ8omMkztaAA0u2hhFgF4JWqwEeYSlxjXdkHR+cYVvAwUBIYyqWfw238cQ44+r4vPhgWPk6iVVuQbc41l5PuLMT6a+GLBrKZGjxtKCjcypyKu/Tagmd8JiWfVgEgKJAS26NNUIjw3iCS1eMyOCpsRAe01YMwRJRHekQoIhZXexuNwmzfNrFR8XQE0T8O9Dta/M87d/kQZfw8JnCfkl+2v9TprQpPrDhAygrfNGNIO5rYWLza6np/m/sM2cLeq4M4le/QkxOob/nPXmHqqyVd657J5FkhF8O/rIk588GqUsGj8eoXm/HWVkgr3l9PbKtLVU9oogJhANHDqJYrNRtzy5uMRt8jTbsbqVg1SNERMe6RNm0fAi2bGOy96zh9TrHx8eRUmbVUW4RdkHSZ8EyYpAhrB5DUaqxKEtv3y6H1WrF5/MZYgg/F0nQZIHqHIxQAEXxYrVuXHPCXFTVOTWRyCksIsNOm+CEBok1XJe2yCC2+HjW8cEZMnHCJ9fgFc41PhgAxUrUt23NJdREVxe0ZO8NBmMS5maGNJA5xAenkVtb4ewZiGV370pVjFj5uvLUWNHikkR4+bwmJSqRC0q82dymR7ikzOTRXWU1LLFxXBMn1hQWkWF9lY3mantBq0eciZzh7uG7eVngZbndQNbA0I4Po1sc1L/wjSXfN1SX8XHEr36Nfs3VsDW3G5WRbHRv5Pqa67l7+O6ybbIx0ZsgPqPTsGPxVqKRmsgD+1PdjToLW9Irg64nGex4geDWNqwO48JuhCIItjoYP51Aixuf1Grry5RNW/pHLhdNAi3bkVJnrMfYzzwTTpCXIQwka61YRzQwIEkroR7DZtueVwOgmpoaxsfH19Q4RpeS5yPxnMMiMthsbajacaTM3yvaOZZAl2TVUW4h7TaBCnSt4bnkfHxwboZwa40dRcCJsfzjhLvD3ViwsMm9ad7rq10nUX8brokT+SdxT08jBoeyjg/OUGWrImgPrskQnh7MMVEujdy6FaFL6F69u10iEiYRmlndEPavXjlCRHV0d+r6yOhid7nNGOFSUogOZhVDqYz4fOoHL8X+zR46xxL0TRufaKVLne+e/S5eq5e3r3u74fMvR9LpZ2T7e6gceATP8LOL12WgLuLW2yCpId/1LsPmzJebG29GQeHWvltLvZQlGeiIYXMKajYv/hE1UhN59dVIux3xwP2GzbkS46d7SIRDNOw0LiwiQ22rE6nDaI/x4RHWfhXdLdB9S9+Cc9HEt249NpebEYPDI0ZHR6mqqsKeZxUWrdaKSIIlm65UK5BMjqHrwznHB2cIBALous7ERP5dxs4kYUbPPVEug83WjpQxNO103mvIJMptD+SuRyacYy1xwu7xDnTFTqwqN6eK06qwyWdbU5xwd7ibDe4N2JX5f/tq10nU346iJ3BO9eR34q7sG2kspNnTvKZWy9ODKm6/ZbbMZda0ZhLmVjfCV0uUy+DJlFAbW/5aVqLn2ytndLE6Xeiaiq6VqJpUlly0hnBVVZXhc3oHn0BzVBPzGeN9vH6TGwE8WACv8ENjD3EyfJJ3rnvnvCzbYjDWejMJdz31h74OCzwghunS24u4/z7kK18FdbltlxYCv93Pa+pew2MTjxnaZ94IEhGdsVNx6rY7USyLf8gNvVbcbuS+fYhHH0uVHSowA0cOYnU4CLQYWxIQoKLOirNSYbjTYEM4KbENqKmwiGU8nLloIhSFmi2tjHafRBrUzUrXdcbHx/OKD86gBY1prKGqKQM/245yC8l4tNcSHnEkbUDm6xHOrH0t7ZY7RmJsqLLhdeQe2uRXBA3K+b8jH9xjR4lWbwdl9UYeC9kacHByNI6eR2iGLvVUopx7sQG+2nUSWWOHOdHZiVREqoZwjrR4WhhNjDKpTuZ8bKaRRlWO3mAAKiqQ9fWILBLmQiOpHczVDGGbS8HuVogs5xHW0+2V04ZwRhebK1WmU40Vv4FYLly0hrDhyCTeoafSZdOM+dgCbiu76hw8eCpsaB3QkBbiR30/YqtnK9fXXG/YvNkiLQ4Gd30M11QX1ad/W5BzKN//PjhdyLe+pSDz58Pr6l9HpbWSH5z7QVk12Rg6EUPqGF47eDnkDQcQ4TDimWcKep6kqjJ07Ah123disRrfqEUIQbDVyURvgkTUOK+5dVhDaBgSH5wh2LKdRDjE9EC/IfNNTU2hadqaDGHpVkh6lTXHCavqMcCO1Zq7MQLgcrnweDxrMoQPq5KAVaEhz1u/xRJEUYJ5d5hL6pLjI3Hac6gfvJAdNkGHJvO6NwldxTl5Muf44AzbAw7CqqRvOvfvwkB8gKgezSu8T/U0otmr8k6YE52d0LQ+1bUtR9YSJxyZSKLFs2+ksRC5tTVVOWIVrUPDg1gdTpyVqz94u9MJc0shYhIhQXcviBF2moZwSYllGSieLa6JE1gTU4Tq9xk67/5NHvpmNLrGjfOe3dp/KyEtVJQEueWYbnoZ4Zpd1B75Nop63uNtiC4vHEY89zzyLW+GirWXyzIKl8XFWxvfyvHQcZ6dWhwWUgqklAx2RKmst83GeS3E6GuFHTuQNTWIBx4wdt4FjHQeI5mI07Dr0oKdo7bVCRJGu4z7jGznVKQFtBV+5HLVJNDcCgjDwiPWGh+cIVmbbqyxhgfDVHzwVoTI3ROZoaamhtHR0f+/vfMOk+Oq8vZ7qzp3T56ePNKMck6WHOUo4YDBRINNMMGYBZa0AZZlE+FbFlgWWHJmwYCNbQzOOUdFK45G0kijyTl2DlX3+6N7pNHEzjMy9T7PPNPTXV11e07fqlPn/s45KTmBUkoORiQbrGpKGuUxLOaVRCINKY2hdSSCLyJZlYI+eIzVZsGgDl0p3NPZhptQ9DD+kuQqRowxljDXmII8YmyFbSpHeNZ5IgSB4pU4UokISwlNTSnJIgDqHfWoqCk5wqf1wYm0Vp6KpcsQw8MwS9lAb183rrLyhL7XzmITvsGpK0co8UCBbo/tZ8wuprgjHDUc4bnB681sKStX96tIBN7yzJboumSBA5NCxmoKN/ubearvKa52X81Cx8KM7DMlhKB7/acxhwYpPfq700+nbRdNQ7n9dqTbjbzuujQHmXmuLL2SKlsVd7TfQVTOvS5qtDuCf0ijYtX0iWSZniuoKvLyy2DfPkhDlzkbXYf2YXXlUbwwtUhhIjhLVBzFaubkEVJibo8QrTSDafqLT7I2sThdFFTXZKzdcl9fH06nM+3SelG3CSUkUUZTi6jHdLUnsSTZSGMiJSUlhEIhfL7kz7M9OvTpsFKkp3U2m1eh60Noek/S723ojX3/0o0IQ2o64bFEuVQjwtX5JpxmkZJO+ITvBDbFRrWtetJricyTQNEqrCPNKNEkk7a6umJd2lJ0hC2KhQWOBSk7wiarwF6YWoWfRBprSCnx9HbjclcktE9niQk9GqtHPxHhjzfTiEeEx+xyOiIcMBzhOSGdJb2pyOveQaBoJZq1MKP7dVlVNlfbeaHFj5ZmdrUudX7d+mvyTHncWHVjhkaYOoHiVQwvuJrSY3di9sU6X6VrF/H0M4jm5liCXA5aKSeLSZi4ufpmOkOdPNOfm4SxmehuCKKaBWVLpr+AZnquQLymsC4Rz7+Q8X0DRAJ++pqOUrF6PULJ3mlMCEHZUhsjnRFC3vQcIQBlWEPx6URqZo70pGKT0iXLGeloJ+xL78ZGSklfXx9utzut/UAsYQ6IVY9IgVgTCj3lRLkx0tEJH4g7jpeVFac1hrEayJFw8sv0DX1Biu0q5c7Uo+ILVXCI1OoJOwYPE7GVELGXpXRsRQiWlVpTdoQXORZNubqZyDzxF69EoGMbSq6hyZgTKZcuSep941nsXMxJ30n0JLX7o10R8ivMqa9ALFyItJhnbKwR8owSDQbJK0vcEYapE+aUQLy9clwjPGYXQxrxOkINj2IfbMi4LGKMK+qcDAY0Dvakt/z6wuALHPcd5z3V78FpcmZodOnRs+ZvACg/9OP0d+bzIe74A3LlSuQlF6e/vyxxXsF5rHCt4J7Oe/Brc1c6JhrS6T0exL3UijpF04asUl0dK+Pz7LNZqSncfeQQUtOoXLsh4/ueiHtp7CYiE1Fhc1sESWb1wWO4l6wAJP0nEi+mPxUjIyNEIpGMOMJ6voJuFSknzIXjiXKxphSpU1BQgMlkSskRPhiRuAQssabuhAKY1AUI4YxrnpOjoS/EKrc1LWmGKgQrTSIlR9g+2BCLBqdx/OWlVlqGIwSjiTuFET3CqcCptMp/BsYS5pLVCR8/jrTZoKYm5WMvcS4hoAfoCCbe5jkS1PEPaanLIgBMJli0eMbGGp54W3ZXWWLJ5s6iWHR6Kp2w4teRItZe+axhGMlyc4umpR+9GcPZsxOBnrGyaRPZUm3HbhZpVY/wRX38of0PLHUu5dKSSzM4uvSIOCroX3YzhW1PYh84lJZdxF13g8eL/qEPzVnzjEQQQvC+mvcxGh3lge4H5mwc3Y1B9ChUrZk50SOTc2U88oorEG1tcCLF0kUz0HXoNZwlbvIrJi+XZhpHoQmX20RfBpprmNsjaKXqpMLzE0nFJvmVVVicrrR1wn19fQAZcYQRgmiZCTVFRzgSOYKq1qIo6eUCCCFO64ST5VBEssYskGmWGRRCwWxekXSHuT5flD6flpYsYozVZkGzBr4kVh/V0AhWb3vS9YMnsrzEgi5j9ZATpSXQgia104lnE0lknmi2IsKOyqR1wuJ4EyxeDEm2Fx9PKglzoz2p1Q+eiFy2FJqbITJ1edbTpdMSjAirFgVbvjJlLWER0GNOcLzZzJhdxiLCUUMaMTcMDg5mbF953TuImvNO9y7PNFaTwsW1Dl5q9RPWUoue3dN1D56ohw8t+NCcJchNR/+K9xGxlVC5/3sMppq53dyMeOQR5PbtsKg+swPMAoudi7m46GIe7nmYwXDmvouJIqWk82CAvHITeWUzn1AzOVfOGsMlF8dqCj/9VEb3GxgZZqilmco1G9KKkCVD2TIbnt4o/uHUdd/Cp2Ma1IjUzC7pScUmQiiULl4WK6OWhtOWKX3wGJrbhOrVT+sIE0VKjUjkaMpl0yZSUlLC6Ogo4STK+g3pkjYtVjYtE/PEYl6FprWj66MJv6chXj84nUS5MVabQQKN0cSvM2f0waklyo2xLJ4wl4w8YqZEOUh8ngSKVyYXEQ6HoeVUWrIIgEprJQ7VkVRJzdGuCAjIL0tvBUIuW4aIRKClZcrXvb3dWPPysdgTn+fOYtPUEeFxNYThjF0UVUU1W4yI8FxRVFSUmR1JiatnRyxJTmSpNS1wZb0Tf0TyUmvyUeHWQCuP9z7OttJt1Dvmn5Oomxz0rPkbHIOHqRp8JfkdaBrKT34K+XnI974n8wPMEjdV34SOzl2dd+X82MMdEQLDGlVrZy/7k7G5MhGnE3nRRYgXXky43WcidB/eD0Dlmg0Z2+dsuOMa67405BGnu8nVzh7pSdUm7iUriAYDDHe0pfR+KSX9/f2ZiQbHSVUnHI22IKUPsyUzrbPHdIvJyCMOjqsfnIl5MqZ1TqaMWkNvCJtJUF+Ufk7ECpNAIbl6wo7BBiQKgeL0EhYLbCqVeaakHeFCcyHF5qn12YnaxF+8Cou/GzWYYPJuczMiqqVcMWIMRSgsdixOLiLcHcFVakpfzjbWWGMaeYS3d/bWyhNxlJgIDGvoEwJ2iv/s9srj7WK22w1HeK4wmdK7mxrDNnIcc3Aga/rgMdZV2KjKM/HQ0eQSXaSU/Lr11zhUR047yCXL8MLrCBQuo2DXtxFacs6EePQxxIkTyA9+CFy5bQ6SDm6rm2vKruH5gedp8U99V54tOg8GMNkEZUtmbzucqbkyFXL7NkQggHg5hRugaeg6tI+C6gU4itMr7ZUMtjyVgiozvceCKdeINreF0fIU9PzZT7up2qRk0RKEUOhPUR4xFjHNZAKlVqwi1eQba0QisUikxZwZR7i4uBghRNKOsA1YasrMPDGblwKmpHTCDX1BVpRaUZX0Vz+ciqBehYYkmpnaBw8TLFiEbkp/hWB5iZWj/eGE59BYI43pVn4StUkgycYap7uypekIQ0we0RZoI6jNHgyQusTTE01bFgFASQmyuHjKhDmp63j7exJOlBvDVWJC6hAYPluSMr69MpxtF5PNbpRPO9dxde8AwFueXUdYEYLrl+fR2B+iaSBxR/HloZdp9DZyU/VNOe8glxRCoXvdp1C9XZQeuzPx9/X3I+64A7lhw7xOkJuOt1a8FYfq4A8df8jZMUNejf6TISpX2VFmKNGVE1asQNZUI558MiO78/b24OnpykmS3ETcS634h7QZ24xOS1hi6onGqkVkUc5htjsorF1AX4pl1DKqDx5DEUTdyeuEw5HDKEoZqpqZsZhMJgoKCpJ2hFeaBeYM2UwIC2bzkoQrR/jCOqeGIqzMgCxijFVmwZGoREvEGZUajoFD+EvWZOTYy90WBgMa/f7Z55An6qEz1DmtPjgZAkXLkSg4EpVHHDuKLC2B4vQqhUDMEdbROeU/Neu2vsEoWiT1RhqTWLZ0yhJq/qEB9Gg04US5MRzFY5Ujxs1lTaKE5FnSiPGYbUZEeM5Ip4vQePK6dxAoWELUnvkSUxPZvsiFzSR48Kgnoe0DWoDftf+ORY5FXFl6ZZZHlz6+sk2MVl9GaePtmIIJ2EdKlF/8AqREv+0j8zpBbjpcJhdvr3w7B0YPcGD0QE6O2XU4ABIqVyfWDSlTc2VKhEBu2xZr99namvbuOg/uRQiFilXrMjC45HAvtoGA3hSS5sxdEYTOrGXTxkjHJqVLVuDp7iToSVyHOkZfXx8OhwOnM7NVZzS3CXVYQ4QS0wlLKQmHD2OxZMYBG6O0tJTBwcGEkqy8uuRE9Exb5UzNE7N5FZHoCaScPeDR2B9CAqszkCg3xhqzwC/hVAL3c7aRk6hRP/6SzMy35SWJ64SP+2IO3DLXsmm3SdQm0mQnWLAoMZ2wlIjGo8jl6UlBxhjTNycijxjtSrORxgTk0mWInh4YHj7r+TMVI5KLCDuKVIRytiM81kxjvDRivF3MNrtRR3iuyESihxLx4Rg4gDdL1SIm4rQoXLXIyXOnfIwEZz9L3dt1L8OR4XmZIDcdoxd8DqFHKDv0s9k33rEDsXsP8l3vgvLk7lznE29wv4EySxm/b/990vUkk0XXJF2HgxQvtGAvSEzTnqmkqOmQl1+ONJnSjgpLXafz4GuULl2O1Zn71Q+LQ6GoxkLf8eTlEeaWMLpNoLkTW8pNxybuJbFSY/0nkosKZ7J+8EQiFSaEJOGosKa1IeVoxmQRY7jdbjRNYyiBRi8NEYkE1sZ9kkzNk1jyX5RIZHbHqKE3hCLOJJplglVxxz6RMmqOgYMA+EvXZuTY9UUWzAoc7Z89YfG49zgKyoyl05KxSaB4VSwiPNs5uL8fMTgIK9Ir2TdGgbkAt8V92rGfiZHuCGaHgi0vM9dzuTLuzDeefS7wdHcihJK0RlhRY00+xleOEL54VznnmTGPt4vJbkgj5gx7Cr3BJ+Ls3Y2QWtbKpk3Fm5blEdHh8aaZtcIdgQ4e6XmEK0uuzMjSUa4wly9ncMk7KTr1ELbhGQqc+3wov/wVsq4O+abrczfALGBWzNxUfROtgVZeGMhOg4kxBppDhP16QklyY2RirsxIfj7yggsQzz8fy8ZOkf6Txwl5Rqled14GB5ccZcutBEf105GbhIhIzB0RIgssp8sLzUY6NnGVVWDNy6f/eHKO8Jg+OBuOsFZqQqpg7knMEQ6HY/pgcxYcYTgjAZmJAxGJCqyMO46ZmidjCXORBMqoNfQFqS+y4DBn7lJdoUCJkliHOUf/ASK2UiKOyowc26wKFhcn1ljjmO8YdY46rMr0NwHJ2MRfsgY14sE6emrG7cTR2LyRyzPjCEMsqn3Me2zWG+jRzggFlWk00phIfT3SYkY0nq2NHu3uxOkuQzUlH3l2lpjw9Y+LCE/hCI+3i9lmM6QR5zJ53TvQTA4CGdJHJcKCQgvrKmw8fMwzbac5KSX/1/Z/2FQbN1XflLOxZYrelR9Es+RTsf/70zZbEH/4A4wMo3/sb9Kq4zhfuLDoQhY7FnNX512E9Ay1652CjoMBbPkKxQvmV9c9uX0bwutDvLoj5X107t+D2e7AvSwzS5ap4F5kRTELuhsTl0eYOyIIDcILM99EYyqEELiXrKD/5HH0JOoRZ0UfPIYa0wmbuhN0hCOHUZRiVDW5pdvZsFgsFBQUJOQIH4xIlpnAlmFJlqLkoaoLZq0nHNUlx/rDGSmbNh4hBKtMIqHKEY6BA/hL12VUlra81ELTYJjoDLWMNalxwneCpc70k9XGGJN3OAYOzbzh0aNImxUWLszYsZe7ljMcHaY33DvtNiGvRtCjU1CVwfOE2QxLliKOnEmelVIy2tVBfmVqNdidJSaCHp1oOOYAT+UIj8dks6OFw0mdi3LN69YR9ngS09lOi5S4el7FV7YZqeTmAjbGm5fn0efX2NE+9V3UzuGdHPIc4l1V7yLfnJ/TsaWLx+NBt+TRu/ojuPr2kt/x7OSNGo8iHn8Ced11sOTciXbPxFiTjcHIIA/3PJyVY3j7I4x0RKhcY0ckkWGe9lxJhNWrkRXliCefSOntkWCA3qMNVK7ZgKJmr8rFbKgWBfdiK33HQ2gJlqAyt4TR7QItibqg6dqkdMlytHCI4bZTCb+np6cHp9OZcX3wGNGKuE44OPPStJSSSOQQFvOarNSJdrvdDAwMoM9QazkkJUfH6YMhs/PEYllNJNKAlNPfGDQNhAlpMqP64DFWmwXdOgzMULfe5O/F4u/BX5IZWcQYy0uthDXJqaHpV4daA62E9NCM+mBIziZhVw1RayGOgZlzNUTjUViyNKMBmBWu2M17o2f6ai4jnbFVpoIM6YPHkCtXxhprxHW6Ia+HsM9LfkVVSvub2GpZ8enoVgGmqefK6aYa8zgq/Lp1hFMtcTSG1dOCxd+TU1nEGOdX23E7Ve5vnJzsEtSC3N52OwvtC9nm3pbzsaXLmF0G628gULCEiv3fR0THTZBIBOWnP4WSYuRN5160eyZW5K1gc+FmHuh+gJHISMb33/5aAMUsqFyV3BJuunMlIRQFuf0NiIYjKSXNdR8+gK5FqVq/KQuDS47yFTa0iKT/ZAKR/fGyiCScunRtUlK/BKGq9B1PrIyaruv09fVRnkUtfrQ8doE3zSKP0LRudH0IsyW9Bg7TMaYTnqkZw6GIJApsGOcIZ3KeWMzrkDJIJDq9bvRgT2zVYU357CUQk2V1/HM1zNBYY8xh9JVmNjF1xenGGtM7wse8MdncbI5wUjYRAn/J2tO65ykJBGKNNDKkDx6j2laNU3Vy1Du9XGmkM4JqFrhKM3ujL1euQOg6xKtHjHbF2j2nGhF2lZxdOULx6ZOiwePtYrbF9MLzWR7xunWE8/PTi5S6ul8Fsl82bSpURfDm5fkc6g1N0lLd130fA5EBPrTgQ6hZbPCRLU7bRTHRtfHvsQR6cDfefvp1cd/9iLY29I98BLKtXZ0Dbq6+mZAe4k9df8rofkNejd7jQSpX2TDbkpvW6c6VRJHbrorp1R59NOn3duzfg8tdnpOWyrNRWG3GmqfQk4A8wtweRugQXpicVCVdm5isVorrFtNztCEhZ2FgYIBoNJpVR1grUZGm2R3hM/WDsyNJG6uRPJM8Yl84pg9eaznjCGdynoxVwwiHp3fKDvYEWVBgptCW+fP8EhOYmbmxhrP/AJpqJ1iQ2VU5t1OlyKbSOINO+LjvOEXmIkrMM9cKT9Ym/pK1WL3tqMFpboKONyF0mVF9MMQaayx3LZ/RER7uDJNfaU5qNS8hli1DKuK0PGK0uwMQ5JWnpvu25imoZjGjIzzeLub4ddxwhM9B8rpfJZhXR8SZWY1aoly71IXTovCnhjNR4a5gFw/2PMilxZey3JXZiToX+EvXM7zgGkqP/QGLtx1OnkTcczf6xRfD5s1zPbysUGWrYpt7G0/1PUVnsDNj+23fH0BKqFmf3QoQaZGXh9y6FfHc8+BLvIOir7+PkY5Wqtefl7OWyjMhhKB8hY2htjAh78y6N0tLBN0h0Ny5v2ktX76KwNAAvr7pdYlj9PbGtsmKPngMRRAtM2HqnjnRMBw5hBAFqGpNVoZhtVpn1Qm/FpGsMIE9S983RcnHZKonMo0jHNUlDX0h1mYhGgxgFoKV5lhC4HQ4Bg7G2iormY1QCiFYXmrh2AyO8DHvMZY5l2V8vvtm0QmLo41IIWDZzJHoVFjuWk5nqHPK1cBIQMc/qGVcFgGAwwEL6xCNMUfY09WJs6QUkyU1yY0QAmdpvNWylFM6wuMxnZZGZK67aKZ53TrCwTT+6SIawNG/L+vd5GbCYVa4fpmLV1r9dIxGkFLym7bfYBZm3lNz7rQZnshEu3Sv/QRSMVG2+7so3/0uFBQib/vI3AwuR7yj8h1YFSt3tN+Rkf1FwzpdhwO4l1ix5SfvcKUzV5JFXnsdIhRCPPNswu/pOLAHIRQq127M3sCSpGJ5zEHpOTrD/y4sMXVGCCcpi4DM2MS9LCYt6D02e3WCnp4eiouLsViym2QZrTCjjuoI//T63Fj94FVZvemZSSfs1SXHorDRcvbxMz1PLOa1hCNHkHKyROD4QJhgVLK2PPP64DE2mBWaouCZImlNifiwDTfFEuWywAq3lQ5PlOEpyoQOhgfpC/fNKouA5G0SLFqOrpin1QmLo0ehtgayoJMf0wmPyT7GMxK/Ocxootw45IoVsQ5z0Sij3aknyo3hLIk7wkEdoYGc4AiPt8uYRng+1xJ+3TrCviQiThNx9r2GokfmRB88njcvz8ekwL0No+wZ2cP+0f28s+qdFJoL53Rc6TDRLlF7Kb0rP0zg4QZEVxf6pz4FeXlzNLrcUGAu4IaKG9g9spsGT4Kdjmag63AQLSyp3ZBaNDiduZI0i+qRK5bH5BEzJCuNIXWdzgN7KV2yDKtr/nwv7IUm8ivN9DROX1PY3BaTRUSSlEVAZmxiy8unoKqW3qMzf8fC4TCDg4NZlUWMES2PRRenk0dEtW50vReLObMJWhOZSSd8ICLRgY0TSpZlep5YLGuBCJHI5OXyMX1wtiLCENM/S6aOCtsHDyPQM54oN8bqstjnOtQz2ZFNpJHGGMnaRKoWAkUrcPZPEYnXNDh2LGONNCZS76jHLMw0eifr9kc6IwgF8sqz5AivXIkIhQg3HiE4OpJyotwYrhKVaEgS7Y/dyEyMCI+3iyGNmENKSmbWFs2Eq2cnumrFX7o+gyNKniK7yvbFLp5qHuL/Wn9Dja2Gq8uuntMxpctUdhkcqmP4pJPCtSBWvj6qRMzGG8vfSKmllN+2/TatJhu6JunY76egypzySTSduZIK8trrEN3dsG//rNsONDcR8oxSNYe1g6ejYoUN/5CGZ5omEZaTYTSXglaafJQ+UzYpW76Kkc62GbvMjUkEcuEIa0UqukVg6plaHhEOx74TFkt2z71jOuExSch49kUkFmDlhOmU6XkSq5GsEA5Pjk4e7AmysNBMQRb0wWOsMIMF2D+FI+zq3YsUasYaaUxkaYkFqyo41DtZHtHobcQiLNTZ62bdTyo28ZesxTZ8FKFNOHZrK8IfyFgjjYmYFTOLnYun1AmPdIbJKzOjmrK0ChL/TKP79wGQl4GIMEA0Po8nOsLj7WKyxW56jKoR5xiOgUP4i1ch1ewtSyXK21floxY/y0Cknw8u+CAmMXelo7LCwADiJz9HLKigYnknpcfunOsR5QSLYuG9Ne+lJdDC0/1Pp7yf3qNBQl6d2k3zWBs8AXnhBciiIpRHHpl12/bXdmG2OyhbtjIHI0sO9xIrigo9RyZHtRSvhrknSnhx8rKITFK2PCaP6JtBHtHT04PJZKK4uDj7A1IE0fLp6wmHw/tQlBJUNbtJkVarlaKioikd4b1hyRqzwJJluymKE5NpMeHI2dHJiCZp6M2ePngMixCsNgv2hSc7ws6+vQSKVqKbsnNeMSmCVWXWKSPCRzxHWOpaiinD2uQx/KXrUPQI9qGzHVLREJsjclV2qpVATB7R7G8mqJ353FpE4u2LZk0WAUBxMbK8nNGWkwBpR4THHGFtaOqI8HhUkxmhqkRD2aufny4JOcJCiGuFEEeFEE1CiC9M8frfCyEahBAHhBBPCSEyV4k6RRLpJT8VQo9gG2kiUDR3RfvPwtyPteRZdM96ai3zZExpcJZddB3l+z+ASITo577I6IIrcDf+BrO/e+4GmEMuKLyAla6V/LHjj3ijM3cSnAqpS1r2+HG5TRSnsPw+RqpzJWVMJuTVb0C89hp0dU27WcjroffoYarWb0Ixzb8bQJNVoXSRld7jQfQJ9VjNJ8NIILwotZvpTNnEWVqGo7iEnmnkEVJKenp6cLvdKEpu4iLRChOqV0fxnP0ZpdQIhw9isWzISVJkWVkZAwMDRCJnotNDuuSUNlkfDNmZJxbLWiKRY0h5xjE6NhAipEnWZdkRhpg84qQGI+N0wkrUj32oEZ87u5r8NWU2Tg1HGBmnE/ZGvbQGWlnpSuzGNxWbjMk9HP37znpeHD6MLCuDLCaMLnctR0fnmO+MTni0O4LUs6cPHkOuXMGwZxhnadlp3W6qmKwK1jwFMaohVZDWs+fLRLuYrDai4XM4WU4IoQI/BK4DVgE3CyEm3jK9BmyWUq4D7gG+memBJstMNSJnwjpyAkWPECia+wiUlJJftf4Ki2oh0H099zZMv7x5rjDeLuL+BxCHDiE//CGorKR73acAqNj/g7kaXk4RQnBL7S34NF9K5dR6jwUJjmgs3OJMy3FIda6kg9y+HWlSEY8+Nu02Hft2I3Wd2o1zl7Q6G+UrbERDkoHmcdEOKbGcDBOtME1KIkmUTNlECEHZ8tUMNp8gGpp8IfJ4PPh8PioqclcdJxq/4Js6z5ZHRKPNSOnJuixijPLycqSUZ1WPGIuObjRPnk/ZmCcW8zpAO91SGuC1riCKgHUVOXCE4w7/eHmEo/8AQmp4y7Jbs3tNPBHw8Dh5xFHvUSSSlXmJXX9TsYlmLSSYvwhX794zT+o6NBxBrs5sS++JLHctR0XlsOeMvYfawwglB47wihUMW0wUFpVmZH/OEhOmgIxFgydcfybaxWS1nvMR4fOBJinlSRlLb70TeMv4DaSUz0gp/fE/XwWyU/cmCVJd5rMPxYTs8yEi/PLQyxzyHOI91TdxaU0FDx71TJlley5x2i4nTiDuuCO2TH7VVQBEnBX0rbiFgo5nyOt8aQ5HmTvqHHVcVXoVj/c+TnugPeH3SV3SstuPs9RESX16mf45WRKfSFER8sKLEM88DX7/pJel1Gl/bRdFCxfhLM1iSa80Kaq1YHEqZ7VcVnujqF6d8KLU7ZJJm5QtW4XUNfqbJmerd3bGSvhVVqZWUzQV9DwVLU/B3Hm2PCJX+uAxSkpKUFX1LHnE3ojEIWDpFAsQ2ZgnFssqwEIofMYp29sZYFmJFZcl+xH65SawAfvHySOcvXvRhel0S+JssazEikUVHOo9M3eOeI9gFmaWOBPLFUnVJr6yTTgGDiL0+M1YaxvC64XV2ZNFANhVO4udizk8esYRHm6P6YNNWba3t7aaiEmlKJIZH8JVYsKmgZY3edwT7WKyWKe8EZ8vJLLeWA20jfu7HZgpRHMrMKX4TwjxUeCjAFVVVadrVnq9XqLRKIWFhQCEQiFGR0dPv67rOgMDAxQWFmI2x+6aBgcHsdlsOBwxDZPH40HXdQoKCoCYBmxoaOh0UsRYhnBRURGm+DLrwMAADocDezyr0ePx4Bo5hm4tpLBuPcFQCJ/Pd1r4PbaP4uJi1Hj7xYGBAZxOJ7a4IHx0dBQhBHnxygeBQAC/3396H9FolKGhobP20d/fj8vlOr2PkZERAnqA33f8nmX5y7ih7gbWOHy80NLOI80RPn5RCcPDw5SUlJxezuzr6yM/Px+rNXaXPTw8jMlkwuVyAbEsznA4TFFRERDLFB8ZGaG0tBQhBFJK+vv7KSgoOF1CaWhoCIvFcrrlaibsZDKZMIfD8L/fg+JirP/wj/gUccZOBZ8k2PYUNfv/h4EV25DWvCntJKU8XbQ7GAzOmZ0URTm9D7/fTzAYPH0SiEQiCdnplsW38Orwq9zZcyf/tvLfiEQis9rJ26kSGNa48N21mM1aWnZyOByMjIzMOJ+CwSBerzfp+TSTncLvey/eF1/E+eJLON77nrPsNNjcRGB4kFVXX4/NZpsXdppuPtVvlBx7qZ+QV6O6rhzttR6kWRBZYEl5PjkcDoQQSZ/3prKT1HWsrjyGm4+z9optZ9npxRdfpKioiKKiopzOJ22xRDs4TJ7dhc0V+74MjxzAbK6nonxpVuw01Xyqqqqip6eHgoICzGYze4Z62WwV5I1rNT1mp7y8PFRVzcj1acxObncN/sCm0zcBqj2P4wMt3HphJYqi5OS8t3Z0hINSxe12E41GcfbtJVK+ntLK2qzOJ7vdxNoqF40DURwOB+FwmOOB46wsXIm7yJ3Q9clms6XkR6iLL0dpugfn8FFk7QUora34AcvGjUiLJavnvc2Dm7mj+Q4seRbs0oWnt5eFW5zk5eVl9frU1xBLyizrG8Ttdqc9n4J1ZhxNPQRMYpKdnE7n6XENDQ1hcThQdB23250Vfy9RO01HRoV3Qoj3AZuBy6d6XUr5M+BnAKtXr5YTC5rP9vfw8PBZf/t8vknlU8be43a7Jy17Qcwo4/F6vXi9Z/SZlv7D+AqX0dffP+04Job9PR7PpJ7nE+sbJruP37T+huHwMJ9b/DmC/iBVLpXL65zcs6+Xa+vMFNnVSYYdHT1bOhGJRAhMqN03cRz94z4nxCbPeKLRKP4JEbt07FRaUoL27e9ATw/6V75MRAAT7BTY/EUWPf1RTM98hc7zPg9MtlMi48iFnRLZx2x2smDhHRXv4Lftv+XFrhc5r/C8Ge2ka5Ijz/ThLFaxlAaJRkVadhorJTXTfJru79nm04z7KC1FWbuWwN1347vyCoif9DweD4eefhyzw0nx4uUEg8F5Yafp5lN+nY58EbqPBLFa+ig4OhrrJGcSKc+nsTq3kNx5b6q/haJQtnw17Qf20NXRgcliwev1MjAwQHd3NytXriQUCuV0PpkKo7g0CJwcwlPpRcoQodBhHPY3zjqOTJ73ioqKaGtro6uri26Lnd6ozvtsCn6/f5Kd/H7/WftJ5/o0/m/BGsLhV4lq3bzY6EMCywt0dF3PyXlvvVnwC1+Uoz29lGo+qoaO0rfylrP2m635tKJI4Q8HAvQOeVBMIY6PHudtlW87PW9muz5FIpFZ/x9T2cljWUwhYO/ZQ1/xGpQdO8DtJlRQAOFwVs97i82LkUhebnuZusG1IGPdKrN9feo5eRyTULDsP0hfdzeMu1kaT6LzScowJiHwA9oEOwWDwbPGqpjM+D2jM86fTM2n8Uy003QkEovvAGrH/V0Tf+4shBDbgX8BbpBSzrkYZCbvfzpENIhttHnO9cFNviae7HuSa8quod5Rf/r5m9YWENEldx+e3JnmXGHwRz9C7N6NvOX9ME0by0DxSvqXvZvi5vtw9u7J8QjnhjeUvYEqWxW/a/8dkbHlumnoPhIkMKJRd5ErI0lFqcyVTKG/9S2IoSHE88+ffi4wMkzfsSNUrz9vXibJTcRRaKKo1kzX4QCWEyFEFMLL0qs4k2mbVKxaixaJ0N90poZpd3csKTWXsogxohUmpHJGJxyOHAEiOZNFjDFWMq6np4ddcXnAlikS5SB788RiiWlxw6G97O0M4jQLlpXkrmLReXE99O6wxNm3D4GOz51dffAYa8ptSGI64WPeYzF9cIKJcpC6TTRrAYGCJTj79sb0wUcakFmWRYyx1LkUszBz2HOYobYwignyK7KrDwYYaW+lsKgExeeDU6fS3p8zfu0ZDU0u/znRLiar7ZzXCO8Clgoh6oUQFuAm4P7xGwghNgI/JeYEz97PMwc4U+gMYxtpQkiNQPHcOcKa1Phlyy8pNBdyY9WNZ71WnW9m2yInDx/z0OOduvzQfEa88ALi7nvQr7oS+cY3zrht76qPEHLVUL3n64jo/K0/mClMwsQtNbfQHermkd7py4ppEUnLTh/5lWZK6jLTBSyVuZIx1q1D1tcj7rv/dION1l2vIJEs2HzR3I0rSarWOAh5dUwNQaIlKlpJeg58pm1StKAeiyuP7sNnatZ2dXVhs9lOywZyiilWRs085giHXwNMmM25cUbGyM/Px+Fw0NXVxc6wpF4Ftzq1I5yteaKqVahKBcHQXl7rCrC+wo6q5K7k3mITFCuwMyxxdb+Cptqz1khjIstLrZgVONAT5LDnMCZhYqlracLvT8cmPvfGWGJg8wnEqAeynCg3hlkxs9y1nEOjhxhuD1NQZUGZ5juXKSLBAN6+XgqXxoJP4uDULaaTweSLna+HpmgzP9EuJqsVbR5rhGd1hKWUUeCTwGPAEeAuKeVhIcRXhBA3xDf7b8AF3C2E2CeEuH+a3eWMMZ1MMtgHjwBzmyj3WO9jnAqc4gO1H8ChTq7h+N51hahC8Nt9iYX85w3HjiN+9GNM69cjb7tt1tqq0mSj47wvYPF1Un74Fzka5NyyvmA9mwo2cW/XvfSH+6fcpmO/n7BfZ9HF6VWKGE8qcyVjCIF861sQnZ2waxfRcJj213ZQvmIN9sI5cNBSpKTeQoVLwRKQaUeDIfM2EYpCxco19DU1Eg2H0DSN7u5uKisrc1KqbCqilWbUER3h0wmFdmOxrEFR0ivrlCxCCCorK2nrH+BQRHL+NNFgyN48EUJgsW6kdbiHPr/GxsrczkdFCLZYBLtDOnldL+Mr34JUs9tqewyLKlhTbmNvV5D9o/tZ7lqOVUl8/qRjE597E4oexvzqkwDIddlNDhzPmvw1DI6O4h/SKKrJQTS4ow2QFC5ZjqypQRycorNekigeDR0YHJrsCE+0i2o59yPCSCkfllIuk1IullL+Z/y5f5dS3h9/vF1KWS6l3BD/uWHmPc5P7EONRGwlRO1zk6XeHezmrs672JC/gfMLz59ym1KnibeuzOe5U36O9c/fL9ZZ9PejfPObUFSE6ytfPq0FnQ2/eyMDi95KyfG7sA8cnv0NrwM+WPtBAH7d+utJrXsjAZ3WvX5K6iwUVObmQpUL5IUXIsvLUf78FzoP7CEaDLLwgq1zPaykEIpgWaGZsC4ZKZqffYoqVq1Dj0bpO9ZIT08P0WiU6ursNq6YichYuajuNjStHatly5yMo7Kykta8YjSml0VkG6tlE/t6Y5HQ86pzezMAcL5FUOM9iSXQi6cytysxGyvttPsGaAu0sS4/d86oz70BiYKyfx9yQS3ksMPmmrw1VI/EWkgX1mT/XD7U2owQCgXVtci1a+HIEYjMLMGbDcWjE7YIQj6dSGDm7qgmqxVdi6JH5+dK9vw8Y2eAiYLvRLAPHZmzaLAudX5y6ieYhInbFt42Y5TmHavzKbQp/Grv0CRnad4RDKJ8/RsQCqH/8xfwJlm0v2ftJ4jY3VTv+RpCC2dpkPMHt9XNO6veyd6Rvewe3n3Wa617fGgRSf1FroweM5W5klFUFXnDDdDUROvzT5NfVUNhzYK5HVOSCL9OoU+nJaLTeST9G9Rs2KSwdiHWvHy6G/bT1taGxWKhrKws48dJFL1AQXMqRLw7AbBYN8/JONxuN22llVh1jdVT1A8eI5vzxGxey76+ddQVeChz5l4Xf55ZcPXgqwB4KnLrCG+qsqE6jwMk7QinYxPdko83fxWRU4PI9bnVptc76qn3rCZqDuFyZ9/eg6dOkF9Vg8lqQ65biwiH4Ujj7G+cAdWjo7li88U3cLaDO9EupngVimh4fgbvXreOcLLLfUrEh9XTOmeJcg/1PMRR31E+UPsBii0z10Z0mBXes66QQ70hXmmbx/pZXUf53vehtQX97/4OamuTtotudtK56XPYRk/hbvxNlgY6v7iu7DoW2hfyf23/h1+LZa77h6J0HAhQsdJ2ur1lppirpfHxyKuupLe6HJ/Pw8LzL5kXY0oG6/EQSBgtM9F9JDCp01yyZOPzC6FQvnItfSeO09XZSXV1dc66yU0zICK1ZgKWvahKLSY1d009zkJRaHFXsnCod8YyStn8To6ELJwYrmODe3/WjjETLkXw5qFXOJq3NOcrogsLzDgLjmPS81hgT+4GOF2bDAcWgw7KqsVp7SdZBILa4ZW0FxxDI7u9AaKhECMd7ZTUxT/jmjVIkwnx2t6Z3zgTUqJ4NERxbMZ4+892hCfaxWS1xccyP3XCr1tHeKx2XqLYh44ikHMSEW4LtHFX511sKdzC1uLEloSvWeJiYaGZX+wZJBSdeVlirhB//CNi507kLR+ATbF2ncnaBcBbeRFDC67F3Xg7tuHjmR7mvEMVKh9Z+BGGIkPc3Xk3UkqaXvCimAT1F2Y2Ggyp2STjmM2cWrQAayRKRfgcaxoTkViOhojUmine4CAalPQ1pRf5yJZNKlevI2xzEtU0amrmvO8RoQUR/EVHcYRyU6VgKhoi4FPNLOhpn7HcUjbnya4OPxLB+tKXiEbbZn9DhlHCo6wePsxDRRfRn+ZNXLJIJIqjiYhvKVIm59imaxN/pwmhSlxFw2ntJ1m8fVHMITsnC/dzzDu50U0mGWptRkqd4vq4I2y3w+rViD2pO8IiIBFRoEjF4lTw9p3tCE+0yxlH2IgIz2vsQ/FEueLcOsJRGeXHp36MQ3Vw64JbE77DVRXBx7YU0+vTuOfw/Gu9LJ5/HuVP96Jv34a8fuYKEYnQvf7TRC0FVO/6fwhtfk6mTLLEuYQ3uN/AY72PcbixhaHWMHXnO7E4Xp9TdrSrg4HRQRYGopju+OPpChLnApYTIZSwJLTKRmGNGXuhSsd+/7yULRVU1yJLylGkfrqA/VwSyDsIioarK7dL0+N5IaxjQrJwqPd0p71cs6M9gNshqM3rIBh6JefHz+vZiYLOkyUXni4jlytO+U8RFV6Co0s5PpBb+ZvW2IK9XCdvYPfsG2eQgVOxz9lRdJTXRl7L8rGaUFQThTULTz8nN22KJSjHSygmizoaC1bo+SoutwlP38x649PSCCMinFsmFoCeDftQI2FHBZo1t5nqf+n6C83+Zm5dcCsF5oKk3ru23MbldQ7uOTxClyc94XtG2bcf8aMfIVevRt5661kVIpK1yxiatYCOzf+MfaSJ8oM/ztRI5zXvrn43xWoprS+HsRepVK3NThJNqjbJJCdffAaT1UbtG29AnDqFeP6FuR5SYugS25EQUbcJzW1CCEHNBgee3igjnanPyWzZRNN0Io481JEBwl7P7G/IMqHwDhTNhevEQshxJBJASslLIcl5FoXKwgK6urqm3TZbNglGdfZ1Bbmg1oXFvJxQ6NWsHGcm8rpeJmoppKNgBTty7AjvH43JQXTfEvZ0Jvc/Tssmvb2Ijk7U5TW4enaCzN1K1OCpEHnlJuqKarPuCA82n6CwdgHquCR1eV5sBSbVqLAyHPtfaQUqeW4T/iENLXLmezPRLoY0Yo6Y2BVoNuxDjTnXB5/0neQvXX9ha/FWzi+aukrEbHxoUxEmVfD9HYPo8yECdfhwrEJETQ365z83qUJEsnYZj7fyYgaWvJPSprtxdeU+apJrHKqDm4Y+iTNQyODahqzVmkzHJpnA29tDT+MhFmy5GNPlVyAXL0bceQfM02W08ZhbIig+neDqMyWfylfYMNsE7ftS/79myyYdHR3ogGl4gM6D2b0Az4aUIULhndi4CCWiYurKfUZ5UxR6dNhqEVRXVzMyMjJtAla2bLKnM0BIk1xYY8dqu4ho9ASa1pOVY02J1HB1v4qn4kLOs5rYG5FEcngt2TW8i8WOxawoLuXV9uT+x+nYROzcBYB24WWYwiPYB9NLHkuUsF/H0xulpM7KxoKNdAQ76A1lp/1C2O/D09NFcd0EDXRFBbKqCrE3NUdYHdbQLQJpF7jKzCDP1glPtMuZiPD8PKe/bh3hkiRKoaihESy+zpzqg8N6mB+d+hEF5gI+UPuBlPdT6jBx66YiDnQHefS4d/Y3ZJPGoyj/9V9QVob+b/8GUxQ7T8YuU9G99hMECxZTs+urmP05vFjMAZ7eCFpDIX3Vx7lT+yV9ob7Z35QC6dokXU6+9Ayq2cLCCy4BRUG/5f2I/gHEww/P6bhmRUpsDUG0AoVo9ZkbPtUkqFprZ6A5jH8oNecuWzY5deoUTqeTUncpnfv3zKl8IxTag5RBLEVbkWaBpTX3VWFeDOsowEVWQW1trIFqW9vUGt1s2eS5U34KbQpry21YrbGKDcEcRoXtg0cwhUfwVF7EBRaBX8L+SG6+F/3hfpr9zWwp2sJFtQ6ahyJ0exNfSUnHJmLnTuSCWvxr3oAUKnldL6a8r2QYaI45gyV1Fs4rOA9gUoWgTDHYchKA4rolk16TmzbC4cOQQlRdHdHQC1UQgrx41QvvOHnERLsYGuFzAPtQ7E4wlx3l7u68m45gBx9d+FFcpvQSoK5Z4mJDhY1f7x2au45zTU0oX/tPKCpG/49/h4LkZB6JIlUrrRd+FaGHqX313xGztCM+V9E1ydGnRrE4FC7dvgyB4CctP0GX5452NhG8fb10Hd5P7XkXYHHEb5xWr0ZuPg/x5z/DyPxtJ25ujaAOaQRX2yY1iKla60CopBUVzjQ+n4++vj7q6uqoXn8evoG+eKH9uSEYehEhCrBY1xJeYMbcGoZo7hxzKSXPBCXrzYJCRWCz2SgrK6O1tTVnNwj+sM6udj+XLnSiKgKTWoHJVE8o9HJOjg9Q0P4MumLGW34Bmy0Cu4DnQrn5/GMO4JbCLVy0ICb9eqU1B1KtkRFoPII8/3w0awE+90YK2p+BHNi9rymIrUDFWWqiwlZBnb2OV4eyc+PTf+IYJquVgqrJibFy8xZENIp4LcmVISlRh3W0QhUAi1PBbBeTEubGY2iE54hoEoWbTzvChcuyNZyzOOo9ykM9D7GtdBvrC9JPEhFC8OkLY3dg33t1IPdRnuZmlK/+P3DloX/pP2CGlq3J2GU6wnkL6Tjvn3EMHqL8wI/S3t98pHW3D9+AxrIr8ijPc3NL7S00eBp4tPfRjB8rEzZJleNPP4pqtlB/yRVnPa+/730QDCHu+dPcDGw2dIltfwCtQCEyRatri0OhYoWN7sYgYV/y2sNs2KSlpQWAhQsXUrFyHarZTMf+3CYJjSFlkFBoNzbbxQihEqm3IKJgbs/djW1DFDp12G47cxNTW1uLz+ebsnpENmzySpufiA6X151ZPbNZtxKJNOZGHiF1CtqfwltxIbolD6sQXGwRvBjKjTxi1/Auqm3VVNmqqHCZqS8y80pb4jePqdpE7N6D0CXy/AsAGKm+Aqu3Detoc0r7S5RIQGeoPYJ7ifV0YvyFxRdy3Hc84yt+Ukr6m45SsmgZiqpO3mDlCmRhAeLl5GSGwi8REYlWEHMfhRC43GY84xzhiXZRTGaEUNCMiHBumakMzkTsQ0cIuWrRLdkvIxXUgvz41I9xW9y8t+a9GdtvmcvEhzcVsb87yGNNOZRItLaifOWrYLfHnOBZlqqSsctMjNZuo3/JjZQ23UVhS+adw7nE2x+hdY+fsuVWSupjd9JXlFzBeQXncWfHnbQFMhvFy5RNkj5u2yl6jzVQf/HlZ6LBY9TUILdvQzz+OEyzVD2XWE6GUUd1ghvsoEyt3a7Z6EDq0Lo3+ahwpm0ipaSlpYWysjIcDgcmq5XylWvpPrwfLZJ7SUIotBsIYbNeAkC03ITuEFiaczeWJ4M6VuDScd3kxmort7a2Tto+G/PkuVM+yl0mlpeeuZmy2S4HIBB8LuPHm4ijfz/mQB8jtdtPP3eFVeCRsDfLSXOeqIdGTyNbCs90FLyo1sGRvhBDgcRuHlO1idi5E+l2Q30dAKPVlyMRsahwFuk/Gas37l5yJqfgwqILAdgxvCOjx/L0dBHyjOJeunzqDVQVeeGFsHdvUvIIdSSeKFd4xrnOc5vwD0bR4ys6E+0ihEC1WomGjYhwTikunrkpxXjsQ405k0X8oeMP9IZ6+Vjdx7Crma0CcO1SF+sqbPxyzxC9uZBInDyJ8qUvgdkUc4IT6FKVjF1mo2fd3+J1b6Jqz9dx9O3L2H7nkpgkwoPJprDk0jM3ZkIIblt4G3bVzg+bf0hUz5x9M2mTRJFScuzJR7C68qZtpyxvugkcDpSf/mx+lVPTJLYDAaKlKpGa6duFOwpNlC+30XUokHRUONM26e7uxufzUV9ff/q5mo1biIZCdB3al9FjJUIg+CyKUoTZvCr2hBCE6y2YOiOIYPZtHZGSZ0OSi60Cx7gbGYvFQkVFBe3t7egTvnOZtslwUGNfd5DLFjrOKpupqm7M5jUEg89mfXWvsO0JdNXGaOUlp587zyJw5kAesXd4Lzo6mwvPdBS8qNaBBF5NMCqckk0CAThwAHn++aclTZqtGH/pBvI7susIj8kiXKVnWreUW8upd9Tz6mBm5RF9x2IlYUsXT+MIA/LiixHhcFJJc2q8YoQ+zhF2uU1I/UyHuansYrJaDY1wrlGnWgqYAlOgH3OgLyeJcgdGD/BE3xNcV3YdK/My73gLIfjMhSVIYhKJrFaRaGxE+dKXwGJF//KXoSKxrlCJ2iURpGKm9aL/JOKsZMErX8Tibc/YvueKtr1+vH1Rll2eh9l29vQsMBdw28LbaAm08KeuzEkGMmmTROk71sBwewuLL9+OyTJZWgBAfj7y/e9HNDYins7uBSoZrMdCKH4ZiwbPUvd74WYHegpR4UzbpKmpCZvNRnV19ennCmvrcJVV0LLz5ZzKqTRtgHB4DzbbVQhx5nOG660ICeZT2Y8K7wxLPBK2Wyfbr66ujmAwSPeEGquZtskzJ33oEq6on5xUbLNdjqZ1EI02ZfSYZ6FHyW9/ltGqS5GmM0EZixBstQheCkvCWfxevDz0Mm6Lm0WORaefqys0U5Vn4vkWX0L7SMUmYtcuRCSCvOjCs54fqbkC22gz1tFTSe8zEU7LIhZbJ/ULuLDoQk74T2S0ekRP4yEKaxZidc2w0r18ObKoKCl5hDqsodsE0nrm+uQqiwUEPL0xadNUdjFZbYZGeL5yWh+c5dJpfs3PT0/9lCpbFe+ufnfWjlPuMvGR84rY1x3kjwezlGi0cyfKV74ChYXo/++rUFmZneMkgG7Jp+WS/wYkC1/6HEp4/jUXSZSRrgindvooW2qldLF1ym02F27m8pLLua/7Phq9uSn3k2l0TePY04/hLHFTvWHzjNvKK69ArlqJ+N3t8yNxLiKxHgoSqTARrZg+GjyGfVxUOJSCVjgTeDweenp6WLRo0VktlYUQLDz/Yry93Qy1ZlcbOZ5g8BlAx27bftbzeqFKtFiNt6vOrmP+WFBSKGCzZbIjXFFRgc1m4+TJk1k7vpSSx5o8rHRbWVg4+UYwJhmxEAg8kbUxuHp2YgqPMFK7bdJrV9gEPgmvZkkeMRQZ4uDoQS4pPruduhCCqxY5OdgTylrit3jueWSZG5afHSk9LY9oezIrx+1rCsZkEUsnn9svKroIgeCFgczUT/cPDeDp6aJ8xeqZNxyTR7yWuDxCHdTQis52dG15sYS50e6ZEuYMRzjn9Pf3J7SdfegIEoVA4dKsjuc3bb9hODLMJ+o+gUWZJgKWIa5Z4uKKOid/ODDCvq7MZuCKRx5B+e9vwcI69K9+FUpLk3p/onZJhrCrhtaL/guzt5MFr/wrZFA2kCsiQZ0jj41gy1dZeuXMWvVbam+hzFrG909+n5FI+s5hNmwyE607X8LX38uybdeiKLNEdIRA/+hHIRhE/PKXuRngDNgOB1FC8WhwgizcEo8K7048KpxJm5w4cQIhBIsWLZr0WuWaDZhsdlp35aYut5SSQPBJzObVmExVk14PL7OijuioM2Sgp0uvJnk1LLnWJlCniOgrikJ9ff1pOckYmbTJod4Q7aNRrl06dcUgRXFis11GMPQcup6dyiNFzQ8QtRTirbhw0mubzAK3Ag8HsuMIvzL4ChLJ1uLJsqgr62P/k2eaZ891SdomQ0Nw8ADy0ssmreZE7W58ZZspbHkEslCdp7sxiLPkbFnEGG6rm9V5q3l24NmMVAbqbTwMQNmKNbNuK7degghHEosKRyXKiIZWcvZnEEKQX2FmtDsWEZ7KLoY0Yg5wuRIrSWYfaiRUUH/W0lCm2T28m+cHnuetlW9lsXPx7G9IEyEEn7ywmNoCM998sZ9+XwYuKrqO+O1vUX75K9i8OaYJTqFEWqJ2SRa/ewOdm7+Aq28P1Xv+KysnsmwhdUnjE6OE/TqrrsnHZJl5WjpUB59d9Fk8UQ8/aP5B2ifObNlkKgIjwzQ99yTupStwL1uV2JtqapA33ojy8iuIF3NT63MqFI+GtSFIuM6CNsXFbDrsBSYqV9noOhxIuK5wpmwSiUQ4deoUNTU12Gy2Sa+rZgs1G7fQ23iYwHD2kyYjkQY0rWtSNHiMcJ0F3SKwHs3eBfPBoI4E3myffp7V1dUBsbrLY2Rynjx63IPTorB1gWPabRz2a5EySDALSXOmQD/5XS8xVPdGpDJ5ZUMVgmttgj0RSXcWOv69OPgi9Y56qu3Vk14rd5lYU2bl6ZO+WSU7ydpEvPhSrFrEZZdO+fpQ3fVY/N04e1NrNDEdvsEonp4oFSvtk2QRY1xVehX94X4OeQ6lfbyexkPkVVThKEpAQ71sGbKmGvHUU7Nuqg5pCAnRkskBjPwKM4ERjUhAn9IusYiw4QjnlKlO+pOQEvtgY1b1waPRUX7e8nMW2hfytoq3Ze04E7GZFL54mZuIJvn6C/1E0jmZBYOI73wX5f4H0K+9Bv0f/wGsUy/dzzquROySIsMLr6Nn9W0UtTxK9Z6vnzPOcPOrPgZbwiy+1EVe2ezL7QB1jjo+uOCDHPIc4t6ue9M6fjZtMpHGxx5ASsnKa2+Y9oIwFfKtb0UuW4r4+S9gYCCLI5xuABL7Lj+oENiU/E1z3QUuFFVw8uXEKrpkyiZNTU1Eo1GWLZu+NOTC8y8BIWh+JftVCgKBRxHCgc12ydQbmAThRRbMbRFEIPPzNyIlDwckF1oE5TN0anQ6nVRUVNDc3Hw6aS5TNhkJarzU6ueqeidW0/SXYJNpCSbTYgKBRzKu4S469RBCagzV3zDtNtfGcxQey3Dy4in/KZr9zVxaPLUzCrBtsYtOT5TG/pn14knZRErE008jlyyG6skOOMBo9WVo5jyKTj2Y+H4ToPtIEKFA2bLpx7u5cDMu1cUz/enlQwSGBxlub6Vi5drE3iAEcts2xLFjs1boUePJcBMjwhBzhAFGuyNT2iUWETakEfMOs78HU3g4a/pgXer8uPnH+DU/n6j/BCYl8ShSJqgpMPOZi0po7A/xk12DqZ1Me3pQvvgviB2vot9yC/LWW2EOkqsSpW/lB+ld+WGKTj10TjjDPUeDtO31U7nGTtWa5BysK0uu5LKSy7i36172jezLzgAzSO+xI/QePcziy7ZhL0wy21tV0T/1KYhGUX74o5xXkTC3RTB3RgmusyMdyZ82LQ6FBZsdDDSHGWrPTYmwaDTK8ePHqaiooGiG2t62/AKq159Hx2u7CXmyp7HXtD6CoRex265GiOlvpMNLrQgdLE2Zjx69GJIMS7jBPvtN2JIlSwgGg1OWUkuHR457iOpMK4sYQwiB3X4tUa2FSCSD+QBSp6j5frzu8wjn1U67WbkqOM8seDQo0TLoiD/V9xRmYebSkukd4UtqHVhVwRMnMlgK9OhRRFsbcvsbpt1EqlaGa7eT3/EcStiTkcPqUUlPY4DihRYsM5w7zErsf7JreBej0dTn4Vjr9Mo1GxJ+j7zsMqRJnTUqbBqMJ8pNMX/yyswgOC2PmPReQyOce0YSSKyxD8XKi2QrIvyX7r+wb3Qft9TewgL7gqwcYza2LnTyrjX5PNbk5c5kk+f27UP5p3+CwQH0L/4L8oY3z5olPxuJ2CVdelffek44w6PdEY4+PUpBtZkll7qSipBC7EL54QUfZoF9Ad87+T1aA6ldsHNhk3DAT8ND9+Jyl1N34dTl0malshL5wQ8gDhxA3HdfZgc4AyKkY9/pRytSCS1PbSUEoGa9A1ueQtPzHvRZVmgyYZOTJ08SDodZsWL281v9JZcjdZ1Tr2YmWWcq/IFYlM3heNOM2+kFKpEqE9bGUEY7zUkp+VNAp1qF88yzz7Xy8nIKCgo4duwYUsqM2CQU1Xmg0cPmKvuUSXITsVkvRQgXfv+f0z72GK7uHVj83Qwuesus277RLujTM5c0F9SCvDT4EhcVXzRjR1WHReHyeifPNfvwhKZPMk3GJuLxJ5B2O/KSi2fcbqjuehQ9TGFbZhIVe5uCRAKSqrXTy2DGuLL0SjSp8XTf0ykdS0pJ54HXKFq4CHvh9De/kygoQG45H/Hc8xCZvqmN2heNycKmuFapZoGr1MRod2RKu6gWC3o0iq7PTdLwTLxuHeHx2dHTYR9qRBcmggWZ1+3uHNrJPZ33sLV4K9tLp9bD5Yr3ry/kqkVOfn9gJLE7bE1D/PGPKF/7GhSXoH/jG7Ah/Q54kJhdMsHZzvA35p0zHPRoHH54BKtTYfW1BSgzLNPOhFWx8rkln8Om2vjvpv9mODKc9D5yYZMjj9xH2O9j7VvehaKmvjIit29Hv+QSxB13wKHDGRzh9Nh3+hFhie9ix7TNMxJBMQmWXJ6Hf1Cj7bWZE6DStUk0GuXYsWO43W5KE0hodRSVULlmPW17XiXky3xDHl33Ewg8jtV6CarqnnX74Bo7SkhmNCq8NyJpjMKNdgUlgZtOIQTLli1jdHSU7u7ujMyTp076GAnpvHN1fkLbK4odh/16QuEdRKOZiUyXHr+TiK0UT/Vls257iUVQrsBd/sycP18afImAHmBb6eRKFRO5YXkeIU3O2CAqYZt4PIhXXkFedhnYZ155CxatIFC0nOKme9K+bsQc0wCOIpWi2tllb7X2WtbmreWx3seI6Ml3WRzpaMM/2E/1uk3Jj3X7NoTHg3jppSlfFwEd1aMTLZv+/J1fYWa0NwpMnl8mSyyIoIVz1z0yUV63jnBe3uxd4uyDRwgVLkaqma3icMJ3gh82/5AlziXctvC2pCN9mWasBfPGShvff3WA3R0zVJLo7kb5t39Dufse5KWXoX/tP6G8PGNjScQumSLmDH+IolMPzitnOBLQOXj/MFpUsub6QswzJO0kQomlhM8t+RyeqIdvNX2LkJ6c85Btm3Qd2k/34f0svmw7+ZVTa/MSRgjkx/4GKqtQvvudrOuFzS1hLC0Rgmtt6EXpS5tK6qy4l1hp2eWbMXEuXZscP36cYDDIqlUJJiQCi7ZehR7VOPF85stHBYJPIqUfp2N6Tep4tDIT0TITtoYgZChZ6/d+nVIFrrYlfj6ura3Fbrdz9OjRtG2i6ZJ7G0ZZXmphdVniKwuxCLoVnz+9XAAA29BRXL27GVj6rimT5CaiCsE7HQqHo3Aokp4ddKnzcO/D1NnrWOqcvUpTXZGFdeVWHjrqQdOnPnaiNhGPPharHXzN1QlsLOhf8m5snhZc3el1exvtjuLpjVK1dvokuYm8qeJNDEeHeWlwaod0Jtpf24lqNlOeqD54POvWIRfUIu5/YMryhaZ4JZeoe2ZHWI9IpH+KBMx4vXgtPP8S5l63jvCsSB37UCP+DOuD+8P9fKvpWxSYC/iHxf+Q9VJpiWJSBP98mZv6Qgtff6GPo/0TvoxSIp59DuUfPwftHeh/91nkpz4JOUykyga9q844w7Wv/htCm9tJGA3rHHxwmMCoxprrC3BOkXSQCvWOej5Z/0lO+k/ynRPfSSmakA18A30cfuheCmsWUH/J5ZnZqd0eS9gMhlC+8Q0IZkd3png17Dv9REtUQqszNw+WXBpLnDv2jCcrjSyCwSBHjx6lqqoKt3v26OsYzlI3NeddQPuenXj7M1fYX8oQfv+9mM1rMJunT9qbSHCNDcUvM9J2+WBEciAC77IrWJIITCiKwrJly+jv76ctzVbfz5/y0e2N8o5VBUkFRxQlH4f9aoLB59G09OxSeuwPaCZHQrKIMa61CfJE+lHhvSN76Qx28qaKNyX8+W9YkU+fX+OVBDvNTUkohHjkEeSmjbAgMYniaO1VRGwllB7/Y+rHBdr2+DBZBeUrEj9/rM1by0L7Qh7seTCpikDhgJ+uQ/uoXLsJUyrJ7EIg3/RmRGsrHDgw6WW1N4pUQSuePkcovzLmAPe3TrbXWEQ4ajjCucPvn3niWLztqFEfwQzqg/2an282fZOwDPP5JZ+nwJx8ebFs4jArfOmqMgptKv/6VA+HeuIOhMcTqwrxgx/Aonr0//kW8pJpsrrTZDa7ZBwh6F39EbrWf5r8jueof+5TqKHsl4maimhY5+D9I3j7oqy6toDC6szeJG0u3MxHFn6E/aP7+e7J7ybchjlbNtEiYfbd83sUVWXd298ze83gZKitRf/sZ6H5FMr/fg+0DOvOIhLns16EDv5LnGlJIiZicaosudTFSGeE9mkkEunY5MiRI2iaxtq1yUeFlly2DcVs5tiTj6R8/In4A4+g60O4nO9J6n3RShPREhXbgUDaWuHbfTqFIqZ5TZZFixbhcDh4+eXUO/CFNclv9w+zuNjChbXJVx1xON4CCLy+O1M6PoB1tJmCtqcZXPQ2dHPiZcfsQvAWu+CVsKQlDTs82PMgpZZSLiyaXLd4OrZU26lwmfjT4dEp//eJzBPx3POI0VH0GxJ3/qViZmDJO3H17sI2eCTh943H2x9l4FSY6vWOWUtijkcIwfXl19MR7OC1kdcSfl/Hvt3o0SgLNl+UynABkJduRRYWovxlcg6GuSdKtNQEM8j4bHkK1jyFrqbJyX5nIsK5SRZOhtetIxycJUo0liiXqYiwJjW+d/J7dAQ6+Oyiz1Jjr8nIfjNNkV3l61eXU+ow8e9P9dD85ydQPvMZxI4d6O95D/p//AckEUVKltnski0Glr6btgu/im34OIufug3b0NGcHj8S1Dn4wAijPRFWXp1PaX3qSVczcVXpVXx4wYfZO7KX7zV/j6ic3RnOhk2k1Dn0wJ/w9vaw7m03YS8ozPgx2Hwe8kMfirVMzWQlCV3ifNGHMqLju8yJnp/5KinlK2yULrZy8hUfg62TLwyp2mR4eJiTJ0+yaNGilJbyLU4Xi7ZeSd/xI/Q1pT9HdN2Pz/cnLJYNWCyzdLmaiBAENtlR/BJrY+rf0d1hnb0Ryc0OBVsKMjVVVVm9ejWDg4O0t6fWxv3+xlH6fBq3bipKSJ88eQxuHI43EQw+TSSSWhfAssO/QDfZ6F+e3A0JwFvtClbgtylGhQ+NHuKo9yjXl1+PKhKfT6oieNeafI4Phtk1haRv1nkSiSD+/OdYybTVicuEAAYXv4OoOY+yI79O6n1jtO7xoZoF1euSv/G5qPgiKqwV3NV5V0JRYV3XaNv9KkUL6skrr0hluDHMZuRbbkAcPAgNDaefFgEddUgjWjmznEYIQVGNhYGWAHKCnEU1IsK5p7h45vJM9sFGdNVKKL8u7WNJKflN22/YP7qfDy/4MGvzU9Dn5JBSh4lvrtb471d+ypLf/4zRojL0b3wd+fa3Zb002mx2ySajNVfSfMUPEVJj0TMfo/DUQzk5bsirse/eITw9EVZdk497SXblJm9wv4EP1H6AXcO7+EHzD2aNDGfDJsefeZzuw/tZeuXVlC5OfDk8WeQbr0N/97tRnn8e8etfZ6Q1r21fAHNHhMBm+6wn/lQRQrB8Wx7OYpWGR0cm6YVTsYmu6+zZsweLxcLq1Uk6neOou2ArztIyGh7+c9oF8H3+u5ByFJfzfSm9Xys3E6kxYzsUTKmusCYlP/XqVCjw5hSiwWMsWLCAkpISDh06hJbk6sNIUOOuQyNsqbazriL1ue903IgQTrze/0v6vbahRgo6nmVg6bvRrIVJv79QEbzdIXguJDmepFZYSsldnXdRbC7mqtKrkj72VYtcVLhM/P7AyKSo8GzzRDz5FKKvD/2mm5OueKSbnQwsu5n8rpewJxkV9vRG6DseonqdHbMteTfLJEy8s+qdtAZaeWVo9o5v3YcOEBgeZOEF6a/kyquvRhYVodxx5+nzqakrJrWLVs4u5SussRANSbz9Z5/TziTLGY7wvME+1EigcBlkoLbvI72P8ETfE7yp/E1sc8+eDTunBAKIO+6k4IufZ+lIJ/dsfTfv2fA3PBYpmeuR5YRA8Sqatv8Kf8laanZ/jao938iqbtg3GOW1e4YIeXTW3lCYdSd4jGvLruV9Ne9jx9AOvtH0Dfxa7iQpbXt20PzSs9RsOp/6S67I+vHkO9+B/uY3ozzyKOLO1JeOAcwnQtgaQoSWWQkvy07UfgyTRWHN9YUoKhx6aIRImo0LmpqaGBoaYuPGjVgsqctuFJOJ1W96B8GREY4/81jK+4lGO/D7H8Bm24bZnHoL+8AmO2ixG5Rk+UtA0qzBx13JaYMnIoTg4osvxufzceRIck7RnQdHCEYlH9pYmPLxARTFhdP5bsKRfYRCuxN/o5RU7vtfopYC+pfdlPLx32VXKBTwfa+GnsQN556RPRz3HecdVe9IKWfGpAhuWlvAicEwz7ckcR4LBhF/+hNy1SpYvy7p4wIMLHknUUsB5Qd/mPBNtpSSky95MdsEtZtmL5k2HRcVXcRC+0Lu6riLsD69nEDqOidffBpXWQVly5OLek+J1Yp8+9sRR47A3liHPXNnFN0qZtQHj1FYHQseDE+ol25II+aAyAy18NCj2IePZaR+8K6hXfyu/XdsKdzCzdU3p72/rBGNIh57DOVTn0L505+QF16I/r3vct0n387Gagff3zHIz3cPEp0mOzdTzGiXHKFZizh16bfpW/4+ipvvZ8kTH8DRPzk5IF2G2sPs+9MQUocNby+kqCa3iZPXl1/Px+o+xhHPEb5y9CsMhgen3C6TNuk91kDDI3/BvXQFK697S24qpgiBvOX96Nu3ofzpXsTtv0spMqz2RnHs8BOpMBHYbE+7ZnYi2PJVVl9XQHBUo+GxkdPLicnaZHR0lMOHD1NZWUn1NF2zkqGodiELtlxI665XGGhuSvr9Uko8np8hhBmX8/1pjUXPVwmttGI9EcbUmfj/pV+T/Mavc75FcLElfVuWl5ezYMECjh49mnD92mP9IR465uGaJS4WJFA3eDYc9utQ1RpGPT9G1xNzCgvaHsc5cICetR9LShs8EZci+IhLoSEKT4QSm19hPczv239PpbWSy0pmL9c2HVfWO1lcZOHXe4cIRs/cMM40T8S99yKGh9Hf856U57JudtK7+iO4+l4jvzOxzosDzWGGOyIsPN+JyZq6i6UIhffXvp/ecC/3d98/7XbdRw7iG+hj8darECIzLp3cvg1ZVYXy6/+DYBhzR4RotTmh/6PVpeIqtTDUfrZtjGS5OWB4eHja16yeFhQtmHZHuZ1DO/nf5v9lsXMxf1v/tygZ+hJmFF2HV19F+fu/R/n5L6CqCu1rX0N+9jNQWIjNpPCvl5fx5uV53Nfo4Z+f6KHfn1iSVSrMZJecopjoWftxmi/9LkKPUv/sJ6jY911ENPmo00SklLTu8XHgvmEsDoUN7yzC5c7OEvtsXF5yOZ9f+nl6Qj188cgXafA0TNomUzbpPdrAvnt+T35lNevefnNmk+NmQwjkbbehX3M1yn33IX74Q4gm/j1WRjScz3nRnQr+SzObHDcbBVUWll6Rx3BbhBMvxmqmJmMTTdN49dVXMZlMbNq0KWM3H0uvuhZnqZv9995BYCTx8QAEgk8QjuzD5fwAqppEYf9pCK63o+UrOHb4IYGleSkl3/Lo6BI+6VIy8j8ZHh5m/fr1mM1m9uzZc7r18nRENMl3XxmgyK7ywY3p/w8AhDCTn/9pdH0Ar+83s26vhkaoOPBD/EUrGaqbuZFJIlxtFaw0wc+9Ot4EgiYP9jxId6ibDy74ICaR+uqrqghu21JEv1/j7kNnErGmnScdHYj770e//HJYsTzl4wIM1t9AMH8RFQd+iIjOrEmOhnSOP+fBWaJSuTp5bfBEVuet5uKii7m/+366g92TXteiEY4//RgudznlK9ekfbzTmM3oH/4worsb8wOvICKS8ILEb+QKqlRGOsJo4+aqeloaYUSEc0ZJyfRL/fahWLvKQHFqEWFd6vyx44985+R3qHfU84UlX8CqZHcZNWk0DfH8Cyj/8I+o3/ofUFS0L/wT+pe/DMvOXqY0q4K/2VLM57aW0jwU5rMPd7G/O32HcCpmsstc4CvfQtPVv2Vw8dspbbqbpU/cgrN3T8r7iwR1Dj88QvMrPtxLrGy8sQh7FpKtkmFd/jq+suIrOFUn/3nsP3mg+4GztHaZsEl3w0H23fM78sor2fyeD5+++88pqor8yEfQ3/0ulGefQ/naf8Ho7K1KlSEN1+MeEOC70oVMI4qTKpWr7NRssNNxIEDHQX/CNpFSsnfvXkZHR9myZQv2WZoFJIPJYmXjje9HalH23f07tGhi0dio1o3X+yvM5rXY7ddkZjCqwH+RE+HTse+ePRJ6f1CyOyL5qEuhKsVmNRMpKSnBarWyYcMGBgcHaWiYfFM5ntv3DdM6EuGT5xfjTKJqwGxYzMtx2G8gEHiUUHjfjNtWvvY/qKEROs/7PGQgUKMIwaddKqMSfuCd+UagM9jJX7r+wgVFF7AuPzVpwnjWlNm4st7JPYdHODkYc6amnCe6jvKzn4PFinx/atr0s1BMdG78eyy+TsoP/XTGTU++5CXs11l2VX7KTZIm8t6a92JWzPz41I/R5Nn69JZXXyQwPMiKa96MyHRjpA3rkRdcgLnJh1RlQvrgMeo3uNE1GBqXCKxaYsEgIyKcQ2bqOGMfPIJmchJ2Td9nfTq8US/faPoGf+n+C1eWXsm/Lfs3nCZnOkPNLH4/4pFHUT7zGZTvfQ8A/TOfRv+fb8HmzTMubVxe5+Q711WSZ1X51yd7+cWewbOWoTJBrjrLJYNuctC18e85efkPkUKh/vlPU7Pzy5j9k+/AZ6LvRJBdfxhksCXMkktdrLw6P6myOdmk1l7LV1d+lS2FW/hDxx/4etPX6Qv1AenZRErJqVdfYP+9f6CgqpbN7/0IZnvquri0EQJ5443oH/8YNDSgfO7zcHT66gemrgh5j4+CAt435GWlQkSiLLrYRXGdhabnvJzYkViJv8bGRlpaWli1ahUVFWlki0+Ds9TN2re8i9Gudo48ct+s5cOkDDMy8k1AoSD/UxlbqgXQ3CZCa2xYT4Rn7DjXGJH8xKuzxSx4cxLNM2ZjbJ4sWLCAuro6Ghsb6erqmnLbHe1+7j0yyhuXudhSk/n54HK9F1WtYWTk22ja1E1lClsepbD9KfpWfZhgYeYSVpeaBe91CJ4MSZ6ZRtcelVF+0PwDrIqVW2puydixb9tcRL5V5dsv9xPR5JTnLvHAA4jDh5Ef+AAUFmbkuH73RgYWv52Sprtx9O2bcpvB1jBdDUFqNjjIL8/cCmCxpZgPL/gwx3zHuK/7TFkz/9AgJ198hrLlqympX5Kx441H/9CtmCs3Eek7ADLxJNGyOhcmq6D/5Jl5qigqislkRITnC/bhY7ETQ5In6RZ/C/9y5F9o8DTwkQUf4aMLPzpvGmbQ1ob4+S9QPvo3KL/8JbhcaJ//XKwm8KWXJlwNorbAzLevreC6ZS7+csTDpx7sYl9XdqLD8w2/ewNN239D74oPkN/+LEsfvZnygz+ete5w2K9z+JERGh4ZxepQ2HhjEdXrHXPeUXAiDtXBZxZ9hg/Vfoij3qN8ruFzPNr76KQoQ6Jo0QiHH/wTR594iPLlq9n8vlsxz5MGLHLbtlhXRFVF+ff/QDzw4CTdsOV4COfTMTmE59p89IK5jdwLRbD6ugJKF1vZ/2g3za96Z3Q8W1paOHz4MAsWLGDlysw2BhpP2fLVLNp6FR37dnPyhaen3U5KyajnJ0SjJ8jP/wyqmrmOlGME19mIVJiw7/Sj9k6Wvgxoki+PapQo8IX8zEgipmLjxo0UFBSwa9cuRiesOpwaCvOtF/tZUmzh1k2ZkURMRAgrhQVfAEKMjHwDKc++MbANHaNqzzfwla6nb/l7M3789zkUVprg216d5ilqC/+x4480+5u5beFtFFsyV5Um36ryqQuLOTUc4ae7p8h5OH4ccccdyAsuQF51ZcaOC9Cz9uOEnVXU7vgPTMGzbz5CXo3GJ0ZwFKvUXZD5wNglxZdwcdHF3NN5D/tG9iF1nUP334VQBCuueXPGjzeGZciBMFmJHHwYcfvtCb9PUQUl9VYGToXQx3WGNFms87JqhMhGZ6NEWL16tfzjH9Pr2pISUmflX65muP56ujb8XcJve3HgRX7e8nNcJhefXfRZlrpSz4LOGF4vYseOWMHwhgak2Yy85GLkNdfA0vTHd6A7yPdfHaDLG2VLtZ0PbyqitmButK65xuzvpvzQzyhofRypWhlc9Fb6l91M1F56ehtdk3QcCNC624cWkdSd76RmoyNjS2LZpC/Uxy9bf8n+0f0sdS7l1gW3stCxMOH3e3q6OfDnO/D29bDo0qtYcvn2jEb/MobXi/LDHyF27UKuXo3+Nx8FdyX2XX6sJ8NEKk34LnVBBpKpMoXUJcee9dDdEKR0sZXlV+VNSro5deoUu3fvxu12s3XrVtQslz2Uus6hB+6h88Bell55DYu2TnYyvN4/4PP/Eafj3bhcydeqTRQR1HE95kGEJN6r89ALY599RJf8w7BGtwbfKVRZas6uTb1eL88++yxCCK644gqcTic93ihfeLwbTcK3r6ug1JGZzpHTEQy+wsjoN7BatlBQ8AWEUDH5e1n07McQUtK07ZdotuyUrOzTJH87rGEBflCkUhjX1T8/8Dw/PvVjtru3c+uCW7Ny7P97bYh7Do/yyQuKuXZpvF72wADKP30BLGb0b3wDstA63jrcxOJnPkqgaAWnLv0uUrUQDevsv3eYwIjGxhuLcBZnx+ZBLciXjn6J3lAvnxx+M30v7mDNDTdSvf68rBwPKcl7yAOAt/9elAcfQv/bTyCvTOwGo/9kiMMPj7D2hkKK4/ri57//TQprF7Lure/OzphnYe3atXuklJsnPv+6dYTz8/Mn3akDmL0dLH/0XXSc908M1c/e9z4qo/y+/fc82vsoK1wr+Myiz1BoLszCiBMkFII9e1FefAH2voaIRpGVlcht22J3wPn5GT1cWJPc3zjKXYdiJYCuXuziHavzqcxLzSGezi7zFctoC+7G31LY9gRSqIwseAP9C99KS189Lbt8BD06RQssLN7qytoJMFtIKXlp8CVu77gdT8TDxcUXc2PVjZRbp4/k6ZpGy86XaHrmcUw2G2tuuBH3kvSSUbKOlIgnn0Tc/jtUZw22Sz6BgoPQGhvBdbacJsYlSl5eHg3PdXPyFR+2PIVV1xSQV25GSklTUxP79++nrKyMiy++GJMpN987qescvP9uug6+xsILt7J82xsRioKUEr//Hry+32GzbSM/71NZXw1RvBquxzygg2+bi+FClc+PaLRE4WsFChuyIEma6tw1PDzMc889h9VqZcV5F/PVlzx4wzr/tb2cRcW5WS30+x/G4/0pVuslFFs+yKLnP4s50Efz5d/PaOfUqTgSid181KrwzUKVZs9+/ufE/7DctZwvLP1CWglyM6Hpki8908v+7iBfuNTNxYVRlC9/BXp6YitBCbZSToWC1ieo3fklRqou49Tmr3D4ES9D7RHWvqmA4oXZzY0YCA/wo6e+xPm7nRStXMGWd3wga3PN3BbG+ZwP38UOIgtNKP/5n3DoMPo//iOcv2XG9+bn5zM0OMIrv+qntN7KijfE/JKXfvpdHIXFbHx35uQyyTCdI3xuXbmTwDpNr23byAkAgvmLZ93HcGSY/z35vzR6G7mu7DreU/OerE3saZEylgH72j7Evn3Q0ICIRJBFRcjrrkXfuhUWLcpaqSeLKnjn6gK2L3Zxx4FhHmvy8vgJL1sXOHjbqnyWliQ38aezy3wlnL+QjvP/jb5VHyK/4W46GyQHdoJP91CQ72XFG4soWFQ418NMCSEEW0u2sn3xdn59+Nc82vMorwy+wgVFF3Bd2XWTVj36Tx6n8bEH8PX34l62ktVvegdWZ+rlmHKGEHDJNmzmzVjaQfcP4D/ya6JFm2DlNpiH30mbzUbtJif5lRaOPDbCa38aomajlT7lKG1trVRVVXHBBRdkPRI8HqEorL3hRsw2Oy2vvoivv481N7yDsH4X/sAD2KyXk5/3tzmRBOkuFe8b8nA96WH4BR+fvshBtxD8R352nGCY+txVWFjI1q1b+fNze/jV472gmvl/2yty5gQDOBxvRBJC6/sldYefwBLSOLX121l3ggFWmgVfLVD41xGdz3buIdr7PWpsNXx20Wezeq1UFcEXL3Pz5ecH+dmTJ9m471c4+7vR/+mfsuoEA4wseAOm0BAlr/2U48cOMuStYfm2vKw7wQBKt4cLXsunryjIA4t3UhncRq09+VynWdEltv0BNJdCpM4CikD/3OdQvvJVlG9/G/0zn4aLpm/lbLVaUU2C8uU2uhoCLL7UhdmmYLJYiUbmn0b4desIT4dt5AQSQaigfsbtmnxNfOfEd/BGvfxt3d+ytWRrjkYIDA1BYyPiwEHEvn2IvlhSk6ypRl57DfqmTbBqVda7wI2n0Kby8fNLePeaAv7S6OGRYx6eb/GzuNjCGxa7uGSBgyL73Goss4GUkpGOCN1H8uk78V70KJQWD7PV8TMWRx6B11S8neczWn0ZnoqLiNqz1546W+SZ87i5+mauLbuWh3oe4pn+Z3hl6BUWOxazrXQbSweL6Xz1FYZaT2EvKmHjuz+Ae+mKeaeBngrh07E2BrEeD4EOwdVWgjZQOqIov/418p57kNu3I6+5GkpLZ99hjimoNHPeTcXsf7qF/S270NQAC8qWcd75a1DV3EtRhKKw8tobcLnLOf78PXQ0PYWz0oPdfj15ro/kVB6j56s8uC2P7/h1lAh8ZzTKiuLc3tRIKXm538xDweXYRJjtpsOIoTCyZElO50f5SDnV+0OgB9i3vh5R6CRXIrZNZsFbw4/yTM8fwLKQt9Z9EZcp+zfIdrPCt1dLBn77v5iCPp65+ZNsXbuOXFyF2krfzhO+LXh9Ni6tvgdL3Y1EyVzFlqnoPXaE/X/6A/aCIi6+6QZebP8O/97473ys7mNcUHRBRo9lPRJCHdbxXj6ulKTdjv4vX0T52n+h/s+30W++CfnWt87oh1SuttF5MEB3Q4DaTU5Ui4VoKPV26dnidSuNMJvNUxbbrn3lX7ENH+P4dXdNek1KSUughVcGX+Hh3ocpNhfz94v/PintZFJ4vdDegWhvjyW7jf0ejCUBSLsd1q5FbtyA3LAB3PPHyfKGdZ5t9vHocQ+nhiMoAtaUWbmw1sHGSjs1+aYpLwTT2WU+oUUkwx1hBppDDJwKE/bpqBZB2TIblStt5JWbQUpsw8cpaH+KgransPhj2eOBgiV4y8/HX7oOf/HqrOnzMslEmwS1IM+1PsGRA89R3qxT7LEQcSg4Nq5g/UXXUTLfnX0pUfuiWI+GMLfGPldkoZngOvuZqhBSwuEGlIcfht27AAEbNiC3bEauWwflmU/0SoYxmwwPD9PY2Eh7ezt2q4MC/zK0vnyseQo1GxyUL7NhtufWIZYyQiDwGB7P7ehamPYXyxHhzSy54moKa7IbjRujQ4u1Tn45LFmhwldOhFh0NIyWrxDY7IiVesqwIzpxnjQNhPjFniEO9YY4r8rG356Xx7GDe+nu7qaoqIiNGzdmvaW8Ghyk/NBPKT71IIGCJZw874P06rej60M47NfjdN6IohRk7fg9oR5+0fILDnkOsabgfI4W3kaXtPFWu+D9DoX8bMmOwmHEX+5Dufde9IICfnPNR7nLX8KaMit/e0FJ1nJZdE3SsT/AqZ1eVLNg88YTbGj5F3TVQvf6zzC84OqMlKk7+5hRmp57kuaXnyO/oppNN38Qq9PFYHiQ75z8Dk2+Ji4quoj31bwvI4mJam8E1xNeIjVm/JdPcUMTDiN+9GOUF19ErlyJ/tHboPbsqPT4uXLgviG8fVEuuKWEA/f9Hl9/H1s//vdpjzMV0tIICyGuBf4XUIFfSCm/PuF1K/Bb4DxgAHi3lPLUTPvMtiNst9sJBCZXO1j62M0E8+pou/i/gHg7RP9Jdg7tZMfwDnpCPSgobC7czG0Lb0v/zlZK8HjOOLztbYi2dmhvRwydqUYgLRaoqUbW1EJ9HXLFCqivhxzp/1JFSknLSISXWvy80OKjfTSWyV1sV1lTZmVRsYVFRRYWF1sosKnT2mWukLrEP6Qx2hPB0xNhtCeKbyAKElSzoGiBhdJFVkoXWVGnS76REutoM3ndr+DqfhVH/wEUGfs/hJ1V+ItXEyxcSihvIaH8OsKOioy09s4Udrsdn9fDaFcng6dO0HusgZGONgCs5aX0LrHwbPERhrRhAGpttazMW0m9o55FzkVU26pRxRxXXPDrmPqimHqimNvCKAGJNENoiZXQChvSOcPFqbcX8fjjiBdfRPTHssFlmRu5dl3sRnTtGijInjMxkXA4zMDAAE1NTfT09GAymViyZAkrVqxAVVUGT4Vp2e3D0xNFKFC80EJJvZWiWgu2vOzZQdMGCAafwR94FF3vw2Jeh8v5MTr2nuTkS88S8fsorFlA9YYtlC1fhcWR2ex5TUoORCT3ByQvhSUW4D1OhXfZBSYhMHVGYtUkvDrRYpXQCiuRGkvGEiHtdjujXj97uwI8eNTDa11B8q0Kt2wo5JolLoQQSClpa2tj//79hEIhysrKWLRoEZWVlRmVsVhHmyk6eR9Fpx5E0cL0L30XvatvQ6pWdN2L1/tbAsHHAQsO+9XYbFdhMtVnJEotpeRU4BRP9T3Fs/3PYlbMvKfmPWwr3UYIwc+9Og8EJU4B19sEb7QrVGcqgXhkBPHCi4j770cMDqJccQWRW96PzMvj6ZM+frp7kGBUclW9kzctz2NxsSUjnzkS0Ok9HqTtNT8hj05JvYWll+dhdalYPK3U7PoqjsEGAoXLGVh6IyM1VyHV9FYndC1Kz5FDND33JP7Bfqo3bGbFNW8+q0Z7VI9yX/d9/Ln7zygoXFl6JVeVXpVy8M7UHYk1FrIpeK/LQ04nM5IylqT/q19BMIDcuhV59TWwfBkIcdZ1frQ7wmv3DFGz0YG//2EGW05y+ae/kNL40iVlR1gIoQLHgDcA7cAu4GYpZcO4bT4BrJNSfkwIcRPwNinljGmB2XaE3W43fXFJwelxaiFW/Xk7PStu4ZW6K9gxvIMdQzvoD/ejorI6fzUXFF3A5oLN5KsuiEQgHI79Hns89hOJQDj2nAgGY4X7R0ZiE3V0FEZHYGQURkcR46II0maFmhpkbW3sd00N1NTEor3zsMZusnR5whzoCrKvO0hjf4g+35nSXMV2lQXFdooskjKniRKHisOi4LIoOE0CZ/yxzSRQRKx4O0KiCBBw+kJzmmm+ulIDLaKjReTpn2hYJ+yXhH06Ya9GyKcR8ur4RzT0ePcbk1WQ5zbjKjdRUGGioNpypgLEjNMk9uLY2IQWwjrUhGPoCPbBBhyDRzCHznwXdcVMxFZO1FZCxFZCxF5C1FZK1JqPNDnRzA40kxNNtSNNNiQqUjEhRew3Qpky2hU7/NljGT/GaChEJBQgEvATGh7GP9iPd2iA8OgIo73d6FrMVvkV1ZQtW4F72SpcpWUgJbrUaQu0c9B7kMOjhznhP0FIj5XBMWHGbS2jzOKmzOqmyFJMnpqHU3HhMjlxqS7sqg2TMGFSVMzCPGkJfcZ/ry4REYkISYQGIiJRfDrCoyF8OqZBDRGI1TOVKkTKzURrzUQrzWASE3Y1w5GkDr09iIYjiCONcPQoIn4yl0WFyPJy9IrymIQiPw/pcIHLCU4nWG1Ikyl246oqk+bylEeVEr/fj9fnxev14ff78Hg9jAyPIqXEZrezoLaWuroFmM2WSXvxDUbpbw7S3xwi4ot9fpNTwVlowlmsYnGpWBwKFoeCySJQTCJ2M6fIGf/hEomUfjR9mKjWgxY5QSRynIjWDkjMppXYHW/EYlkVm5O6TjQYpvvwProPHSAw0g8InKUVuMorcbnd2AqKsTocmO1OVKsFoYj4d3jqgUQkDGmSQV3SHoWTWswJ9kpwCdhmFVxrUyiaGHHUJObWCOZjYVSfjhSglZrQSlT0AoFuVZB2gbSKWPHQqZyk+HckpEkGghrDXo02b5hWL+xr9xCKSvItKtcsc3JVvQvX2A3yuO9WJBKhpa2NUyebCYaCKEKhsLSE0uJinE4XDocTm8WCyaSiqFPPZ2Rsn6bwMKbgIBZvJ7bh4zgG9mH1tSOFiqfqMvqXvouIa3Jb7Wi0G7//AUKhHYCOolZgVpegmhahqm5UxY2iuBDCOq2kRQL+qJ/hyDC9kV5OeE9wzNtIZ7AbkzBxScklvNH9RoosBePeAS1RuNunsysi0YE6BdZYBPUmQZUqKFTApYB1GhMAEI7C4BAMDiBONSOOHUceaUToGnLpUuTb3kbJpZcyMHCmlNlIUOPeI6M8c9JPSJeUOUxsrLJSX2ihpsBEoVUlz6pgMynjh3sWWkQS8uuEvBqeviie7ggjXRGkDnluE7Wb7RQvmODkSp2C9qcpbfw9Vm8bmtmFr3Q9AfcGgq4FhJ1VaJZ8dLMNpgkaRINBgqOjePq6GGltobfpKBG/D5e7jKVXXot76fRJyT2hXu7r+gsvDb2EJjWqbdWscK1gsXMx5dZySi1unKoDi2KZ1AFXRCXqoIblZBjzyTB6gYL3qryZgwdjjI7GWlk/+RQiGERWlCPXriVv82ZGXa7YudLp5NjLsRrLrpIXGOk4xFX/+B+z7zsLpOMIXwR8SUp5TfzvfwaQUv7XuG0ei2/zihDCBHQDbjnDzufCEd7zs99zmW171o6ZCIL5r6t8PTMv/v9zPoS5HcCcf3xgvoxirpgP8+Bc0JgbGPy1EBQhHi98gTtLHyCoJFfr1xaWXHAENh2XLGsDx4R8uLBqZv/6TzFo6kQL7WH7P/8nqin38z8dR/idwLVSyo/E/34/cIGU8pPjtjkU36Y9/veJ+Db9E/b1UeCj8T+XA9O3fEqfUqB/1q0Mco1hl/mHYZP5h2GT+Ydhk/mHYZP5yXy1y0Ip5aQkl5wKFaWUPwN+lotjCSF2T+X5G8wthl3mH4ZN5h+GTeYfhk3mH4ZN5ifnml0SEaV2AONTAmviz025TVwaUUAsac7AwMDAwMDAwMBgXpKII7wLWCqEqBdCWICbgPsnbHM/8IH443cCT8+kDzYwMDAwMDAwMDCYa2aVRkgpo0KITwKPESuf9isp5WEhxFeA3VLK+4FfArcLIZqAQWLO8lyTEwmGQdIYdpl/GDaZfxg2mX8YNpl/GDaZn5xTdpmzhhoGBgYGBgYGBgYGc8m5X7jWwMDAwMDAwMDAIAUMR9jAwMDAwMDAwOCvknPaERZC/J0Q4rAQ4pAQ4g4hhC2e1LdDCNEkhPhjPMEPIYQ1/ndT/PW6OR7+6wIhxK+EEL3xWtJjzxULIZ4QQhyP/y6KPy+EEN+L2+CAEGLTuPd8IL79cSHEB6Y6lkFiTGOT/xZCNMb/738WQhSOe+2f4zY5KoS4Ztzz18afaxJCzE1PzNcRU9ll3Gv/IISQQojS+N/GXMkB09lECPGp+Hw5LIT45rjnjbmSZaY5f20QQrwqhNgnhNgthDg//rwxT3KAEKJWCPGMEKIhPic+E3/+9XGtl1Kekz9ANdAM2ON/3wV8MP77pvhzPwE+Hn/8CeAn8cc3AX+c68/wevgBLgM2AYfGPfdN4Avxx18AvhF//EbgEWJtvS4EdsSfLwZOxn8XxR8XzfVnO1d/prHJ1YAp/vgb42yyCthPrNtpPXCCWFKsGn+8CLDEt1k115/tXP6Zyi7x52uJJSO3AKXx54y5Mkc2Aa4EngSs8b/L4r+NuTJ3NnkcuC7++I3As+MeG/Mk+zapBDbFH+cBx+Lz4XVxrT+nI8LEql7YRax2sQPoAq4C7om//hvgrfHHb4n/Tfz1bUIYPT7TRUr5PLFKIeMZ/7+eaIPfyhivAoVCiErgGuAJKeWglHIIeAK4NuuDf50ylU2klI9LKaPxP18lVg8cYja5U0oZklI2A03A+fGfJinlSSllGLgzvq1BikwzVwC+A3weGJ+5bMyVHDCNTT4OfF1KGYpv0xt/3pgrOWAam0ggP/64AOiMPzbmSQ6QUnZJKffGH3uAI8SCka+La/056whLKTuAbwGtxBzgEWAPMDzugt9OzFjEf7fF3xuNb1+SyzH/FVEupeyKP+4GyuOPT9sgzph9pnveIDt8mNjdOhg2mVOEEG8BOqSU+ye8ZNhl7lgGXBqX0D0nhNgSf96wydzxWeC/hRBtxK77/xx/3rBJjonLSjcCO3idXOvPWUc4rkV5C7ElqirAyTy4szA4GxlbDzFq9M0ThBD/AkSB38/1WP7aEUI4gC8C/z7XYzE4CxOxpdsLgc8Bdxmrh3POx4G/k1LWAn9HrHeBQY4RQriAPwGflVKOjn/tXL7Wn7OOMLAdaJZS9kkpI8C9wCXEQvBjjULGt4M22kDnjp74Mgjx32NLi9O1606kjbdBmgghPgi8CXhv/KQFhk3mksXEbuT3CyFOEfsf7xVCVGDYZS5pB+6NL+vuBHSgFMMmc8kHiF3jAe4mJkcBwyY5QwhhJuYE/15KOWaL18W1/lx2hFuBC4UQjvjd+jagAXiGWJtniE2e++KPjTbQuWP8/3qiDW6JZ5ReCIzEl1UeA64WQhTFI/1Xx58zyBBCiGuJ6VBvkFL6x710P3CTiFVVqQeWAjtJrLW6QRpIKQ9KKcuklHVSyjpiDtgmKWU3xlyZS/5CLGEOIcQyYglw/RhzZS7pBC6PP74KOB5/bMyTHBD3sX4JHJFSfnvcS6+Pa/1cZ+ul8wN8GWgEDgG3E8vmXUTs5NRE7M5xLPPXFv+7Kf76orke/+vhB7iDmEY7QuxCfisx7fVTxE5WTwLF8W0F8ENiGdYHgc3j9vPhuG2agA/N9ec6l3+msUkTMW3WvvjPT8Zt/y9xmxwlnpkdf/6NxLKDTwD/Mtef61z/mcouE14/xZmqEcZcmSObEHN8fxe/ruwFrhq3vTFX5sYmW4nlAO0npk09L76tMU9yY5OtxGQPB8ZdQ974ernWGy2WDQwMDAwMDAwM/io5l6URBgYGBgYGBgYGBiljOMIGBgYGBgYGBgZ/lRiOsIGBgYGBgYGBwV8lhiNsYGBgYGBgYGDwV4nhCBsYGBgYGBgYGPxVYjjCBgYGBvMAIcRbhRBSCLFirsdiYGBg8NeC4QgbGBgYzA9uBl6M/zYwMDAwyAGGI2xgYGAwxwghXMSK1t9KrDMZQogrhBDPCiHuEUI0CiF+H+/whBBimxDiNSHEQSHEr4QQ1vjzXxdCNAghDgghvjVnH8jAwMDgHME01wMwMDAwMOAtwKNSymNCiAEhxHnx5zcCq4m1mH0JuEQIsRv4P2BbfPvfAh8XQtwOvA1YIaWUQojCnH8KAwMDg3MMIyJsYGBgMPfcDNwZf3wnZ+QRO6WU7VJKnVhb0zpgOdAspTwW3+Y3wGXACBAEfimEQOFCFQAAASZJREFUeDvgz83QDQwMDM5djIiwgYGBwRwihCgGrgLWCiEkoAISeAgIjdtUY4ZztpQyKoQ4H9gGvBP4ZHy/BgYGBgbTYESEDQwMDOaWdwK3SykXSinrpJS1QDNw6TTbHwXqhBBL4n+/H3gurjMukFI+DPwdsD7bAzcwMDA41zEcYQMDA4O55WbgzxOe+xPTVI+QUgaBDwF3CyEOAjrwEyAPeFAIcYBY9Ym/z9qIDQwMDF4nCCnlXI/BwMDAwMDAwMDAIOcYEWEDAwMDAwMDA4O/SgxH2MDAwMDAwMDA4K8SwxE2MDAwMDAwMDD4q8RwhA0MDAwMDAwMDP4qMRxhAwMDAwMDAwODv0oMR9jAwMDAwMDAwOCvEsMRNjAwMDAwMDAw+Kvk/wOstTHPBlkIcgAAAABJRU5ErkJggg==\n", 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\n", 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" ] @@ -4659,7 +4638,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 48, "metadata": { "pycharm": { "name": "#%%\n" @@ -4675,43 +4654,54 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning in '/tmp/httpstan_vg7jd5_2/model_gujiwcol.stan', line 16, column 23: Argument 100 suggests there may be parameters that are not unit scale; consider rescaling with a multiplier (see manual section 22.12).\n", + "Warning in '/tmp/httpstan_by2s3ozq/model_zq2l6lwo.stan', line 16, column 23: Argument\n", + " 100 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (100/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 5% (400/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 14% (1100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 12% (1000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 16% (1300/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 19% (1500/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 24% (1900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 28% (2200/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 31% (2500/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 36% (2900/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 39% (3100/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 54% (4300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 70% (5600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 32% (2600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 38% (3000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 55% (4400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 72% (5800/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 3.2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.\n", + " Gradient evaluation took 4.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.43 seconds.\n", " Adjust your expectations accordingly!\n", " Gradient evaluation took 3e-05 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 3e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.\n", + " Gradient evaluation took 3.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 3.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", - " Adjust your expectations accordingly!\n" + " Gradient evaluation took 5.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_s959t9tf/model_zq2l6lwo.stan', line 20, column 8 to column 44)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_s959t9tf/model_zq2l6lwo.stan', line 20, column 8 to column 44)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] } ], @@ -4767,7 +4757,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 49, "metadata": { "pycharm": { "name": "#%%\n" @@ -4776,7 +4766,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -4806,14 +4796,14 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -4823,13 +4813,20 @@ } ], "source": [ + "plt.figure(figsize=(17, 9))\n", "plt.plot(Bw_spline_3)\n", + "\n", + "plt.title('$B*w$ da B-Spline grau 3')\n", + "plt.xlabel('Ano')\n", + "plt.ylabel('$B*w$')\n", + "plt.grid(ls='--', color='white', alpha=0.6)\n", + "\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": { "pycharm": { "name": "#%%\n" @@ -4860,7 +4857,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 56, "metadata": { "pycharm": { "name": "#%%\n" @@ -4869,7 +4866,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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" ] @@ -4893,8 +4890,8 @@ "\n", "plt.plot(cherry_not_na.year, mean_posteriori_spline_3, color='black', label='Média da posteriori') # Plot da Média\n", "\n", - "plt.plot(cherry_not_na.year, alpha_spline_3[:, :n_plot] + Bw_spline_3[:, :n_plot], # Plot do Intevalo da Média (Sem o HPDI)\n", - " color='red', linewidth=0.1, alpha=0.1) \n", + "# Plot do Intevalo da Média (Sem o HPDI)\n", + "plt.plot(cherry_not_na.year, alpha_spline_3[:n_plot] + Bw_spline_3[:, :n_plot], color='red', linewidth=0.1, alpha=0.1) \n", "\n", "plt.title('Posteriori da B-Spline \\n HPDI de ' + str(intervalo_credibilidade) + '%')\n", "plt.xlabel('Ano')\n", @@ -4936,6 +4933,7 @@ } ], "metadata": { + "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", diff --git a/_sources/parte_5.ipynb b/_sources/parte_5.ipynb index 2adfa78..b3e0b69 100644 --- a/_sources/parte_5.ipynb +++ b/_sources/parte_5.ipynb @@ -589,12 +589,14 @@ "outputs": [ { "data": { - "image/png": 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6RQaDQdWLUDo1+qDG8pw+u/1Ln8ZdvgiNo0QQbQ4s2rvMx6CiaIx9U69/0Zrz9upIekXMDDOrejFKpUYf1Fiefbu337M67vJFaBwlgmhzYNHeZT4GFUVj7Jt6/YvWnLdXG+kiIhU5dGAvK+0LH7hX2sahA3urWSARCUWPQSIi9aSXu1ckpTT9Sg2nRh/UWJ7RiZmWcWZljaNEEG0OLNq7zMegomiMfVOvf9Ga8/ZqI70irZb/FzGo0Qc1luvg/j1LWSHWOEoE0eZAEb3LegwqisbYN/X6F605b6820isS4bMB1eiDGn1Qo0QQbQ5E64V4zer1LVovxGvO2xtrV0aNdDodOh3f+0jU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea87bG+cnVDO9Xq/qRSidGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e7WRXpFutwv4fsmHGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e7WRXpEIe5HU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea9aR9IaJsBdJjT6o0Qc1SgTR5kC0XojXrF7fovVCvGYdSW+YCHuR1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvWkfSGibAXSY0+qNEHNUoE0eZAtF6I16xe36L1QrxmHUlvmAh7kdTogxp9UKNEEG0OROuFeM3q9S1aL8Rr1pH0homwF0mNPqjRBzVKBNHmQLReiNesXt+i9UK8Zh1Jb5gIe5HU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea9aR9IaJsBdJjT6o0Qc1SgTR5kC0XojXrF7fovVCvGYdSW+YCBNTjT6o0Qc1SgTR5kC0XojXrF7fovVCvOa8vdpIr0ir1ap6EUqnRh/U6IMaJYJocyBaL8RrVq9v0XohXnPeXm2kVySlVPUilE6NPqjRBzVKBNHmQLReiNesXt+i9UK85ry9sXZliIiIiIiIiNSYjqRXxMyqXoTSqdEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RUZDAZVL0Lp1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26uXu1ek3W7TbrerXoxSqdEHNfqgRokg2hyI1gvxmtXrW7ReiNect1dH0iuS94Ptm0SNPqjRBzVKBNHmQLReiNesXt+i9UK85ry92kivSN4Ptm8SNfqgRh/UKBFEmwPReiFes3p9i9YL8Zrz9pa2kW5mLwaeBHwupfSQ7LJfBZ4MDIDPAd+XUvp0WctQZxH2IqnRBzX6oEap2jLWC6LNgWi9EK9Zvb5F64V4zXl7y3xP+kuAJ2y57DdTSl+dUjoAvBb4pRLv/w6OnTzDM6+9iW972cd55rU3cezkmWXe/QW63e7GnhWv1OiDGn1Qo9TASyh5vSDaHIjWC/Gay+yt03rxiMbXv2jNeXtLO5KeUrrOzO675bIvbvrvbmBpn2Z/7OQZDh9f5Xx/eJenzvY5fHwVgIP79yxrMTZE2IukRh/U6IMapWrLWC+INgei9UK85rJ667ZePKLx9S9ac2Pek25mvwYcAr4AHJzle1qtFp1Oh3a7zWAw2Pi8uZQSrVaLfr9Pp9Oh1+vR7Xa3/fv6mwfceVeXr7zzTm45dzt32tGh1x/wpo+f5wlfdVcGgwHtdnvibWz+e319faHl2bNnD+vr66yvr+e+jc1/9/t9Wq0WKaXRz3npTVtvY+fOnQDcdtttbpq23kan06HT6XDmzBk3TVtvo9Vq0e12xzY2sWnr31sbPTRt/bvT6WBmnD9/3k3T1nFaWVkhpcT6+notmmQ2864XTFon2LVrF/1+n36/7+q5ZtxtjHt8bnLTtHHqdodHpHq9npumSeM07Tk47/Jcf/OAXSsdrrh4F5/94nkuudMOzpxf582f7PH4B+6obH20qPXjZY9T3uWZ5zGrKU3TlmfPnj0bv79emibdxmjdpNebb2N96R/BllJ6Xkrp3sDLgeeMu56ZPdvMbjCzG1ZXVxe+37Xbtn+z/i3nqvmsvtEDkGejFWXPooyjGpuv1+u5b4zwmOPRLOsFs64TRJjnm0V47NoqWnNZvePXi6s9mZfG179ozXmfl6zMvf3Zy9peOzpBzJav3Qd4/XZf2+rKK69MR48eXWhZnnntTZw6e8cHnkt3t/mTp16+0G3nsfkos1dq9EGNPqhx+a666qobU0pXV70cdVLEesGkdYK6zYGyReuFeM1l9dZtvXhE4+tftObNvfOsFyz1SLqZXbHpv08GPrCs+z50YC8rbbvgspW2cejA3mUtwgV6vZ77Iz5q9EGNPqhR6qjo9YJocyBaL8RrLqu3buvFIxpf/6I15+0t8yPYXgE8BthnZjcBzweeaGYPZPhRKx8Hfris+99qdBKMIyfWOH22z77dbQ4d2FvZyTFG76ny/BmBavRBjT6oUaq2jPWCaHMgWi/Eay6rt27rxSMaX/+iNeftLfPs7k/f5uIXlXV/szi4f0/lDz4jEd6LoUYf1OiDGqVqy1gviDYHovVCvOYye+u0Xjyi8fUvWnPe3qWfOE6G2u027Xa76sUolRp9UKMPapQIos2BaL0Qr1m9vkXrhXjNeXuX/hFsMjQYVHNW+WVSow9q9EGNEkG0ORCtF+I1q9e3aL0QrzlvrzbSKzL67D3P1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26uXu4uIiIiIiIjUhI6kV6TMz6evCzX6sOzGYyfPLP1ssxpHHyI0ymTR5kCZvVU8Fs9CY+ybev2L1py3VxvpFWm1/L+IQY0+LLPx2MkzHD6+yvn+8AHt1Nk+h4+vApS6cqhx9CFCo0wWbQ6U1VvVY/EsNMa+qde/aM15e2P9lGqk3++7/3xANfqwzMYjJ9Y2VgpHzvcTR06slXq/GkcfIjTKZNHmQFm9VT0Wz0Jj7Jt6/YvWnLdXG+kV6XQ6dDq+X8igRh+W2Xj67PYPYuMuL4rG0YcIjTJZtDlQVm9Vj8Wz0Bj7pl7/ojXn7Y3zE6qZXq9X9SKUTo0+LLNx3+42p7ZZCdy3u9zP09Q4+hChUSaLNgfK6q3qsXgWGmPf1OtftOa8vTqSXpFut0u32616MUqlRh+W2XjowF5W2hd+VMVK2zh0YG+p96tx9CFCo0wWbQ6U1VvVY/EsNMa+qde/aM15e3UkvSIR9iJFa6zrmXAXtcxxHP28lv1zjDZXvYrQKJNFmwNl9Vb1WDyLIpqb9HytOe1btF6I15y3VxvpFRntUfF84oRIjX//4S/U9ky4i1r2OB7cv2fpP7NIc1WN4lm0OVBmbxWPxbNYtLnOZ67fjua0b9F6IV5z3l5tpFckwl6kSI2TzoRbxyf9eUQaR8/UKBFEmwPRemHx5qY9X0cbY/X6F61ZR9IbJsJepEiNdT4T7qIijaMamy1Co0wWbQ5E64XFm5v2fB1tjNXrX7RmHUlvmAh7kSI11vlMuIuKNI6eqVEiiDYHovXC4s1Ne76ONsbq9S9as87u3jARzmwYqbHOZ8JdVKRx9EyNEkG0ORCtFxZvbtrzdbQxVq9/0Zp1dveGWV9fr3oRShepsc5nwp1m2lluI42jZ2qUCKLNgSb35j3D+qLNTXu+bvIY56Fe/6I15+3VRnpF2u3hy6o8T9RojXU9E+4ks5zlNto4eqVGiSDaHGhq7yJnWC+iuUnP100d47zU61+05ry9erl7RQaDAYPBoOrFKJUa62/SWW5Hmt44CzX6EKFRJos2B5raO8tzzzhNbc5Lvb5F64V4zXl7dSS9ImY2/UoNp8b6m+Ust01vnIUafYjQKJNFmwNN7V3kDOtNbc5Lvb5F64V4zXl7dSRdJLBxZ7Ot61luRUSk+fTcIyIymTbSK5JSIqU0/YoNpsb6m+Ust01vnIUafYjQKJNFmwNN7V3kDOtNbc5Lvb5F64V4zXl79XL3irRa/vePqLH+ZjnLbdMbZ1FGY94zF5dF4ygRRJsDTe1d5Azr8zTX7XE4j6aOcV7q9S9ac95ebaRXpN+f/r6rplNjM0w7y62HxmmKblzkzMVl0ThKBNHmQJN7855hfdbmOj4O59HkMc5Dvf5Fa87bG2tXRo10Oh06Hd/7SNTogxrnt8iZi8uicZQIos2BaL0we3MdH4fziDbG6vUvWnPe3jg/oZrp9XpVL0Lp1OiDGue3yJmLy6JxlAiizYFovTB7cx0fh/OINsbq9S9ac95ebaRXpNvtAr5f8qFGH9Q4v32725zaZkWwyjMXaxwlgmhzIFovzN5cx8fhPKKNsXr9i9act1cvd69Ir9dzvydJjT6ocX6LnLm4LBpHiSDaHIjWC7M31/FxOI9oY6xe/6I15+3VkfSKRNiLpEYf1Di/Rc5cXBaNo0QQbQ5E64XZm+v4OJxHtDFWr3/RmvP2aiO9IhH2IKnRBzXmk/fMxWXROEoE0eZAtF6Yr7luj8N5RBtj9foXrVnvSW+YCHuR1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvWkfSGibAXSY0+qNEHNUoE0eZAtF6I16xe36L1QrxmHUlvmAh7kdTogxp9UKNEEG0OROuFeM3q9S1aL8Rr1pH0homwF0mNPqjRBzVKBNHmQLReiNesXt+i9UK8Zh1Jb5gIe5HU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea9aR9IaJMDHV6IMafVCjRBBtDkTrhXjN6vUtWi/Ea87bq430irRaraoXoXRq9EGNPqhRIog2B6L1Qrxm9foWrRfiNeft1UZ6RVJKVS9C6dTogxp9UKNEEG0OROuFeM3q9S1aL8Rrztsba1eGiIiIiIiISI3pSHpFzKzqRSidGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e7WRXpHBYFD1IpROjT6o0Qc1SgTR5kC0XojXrF7fovVCvOa8vXq5e0Xa7TbtdrvqxSiVGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e3UkvSJ5P9i+SdTogxp9UKNEEG0OROuFeM3q9S1aL8RrzturjfSK5P1g+yZRow9q9EGNEkG0ORCtF+I1q9e3aL0QrzlvrzbSKxJhL5IafVCjD2qUCKLNgWi9EK9Zvb5F64V4zTqS3jAR9iKp0Qc1+qBGiSDaHIjWC/Ga1etbtF6I16wj6Q0TYS+SGn1Qow9qlAiizYFovRCvWb2+ReuFeM06kt4wEfYiqdEHNfqgRokg2hyI1gvxmtXrW7ReiNesI+kNE2Evkhp9UKMPapQIos2BaL0Qr1m9vkXrhXjNOpLeMBH2IqnRBzX6oEaJINociNYL8ZrV61u0XojXrCPpDRNhL5IafVCjD2qUCKLNgWi9EK9Zvb5F64V4zXl7WwUvxwYze7GZfc7M3rPpst80sw+Y2bvM7Foz21vW/dddt9vd2LPilRp9UKMPapSqLWO9INociNYL8ZrV61u0XojXnLe3tI104CXAE7Zc9kbgISmlrwb+Ffj5Eu+/1tbX11lfX696MUqlRh/U6IMapQZeQsnrBdHmQLReiNesXt+i9UK85ry9pW2kp5SuA1a3XPaGlNJoKY8Dl5d1/3XXbrdpt9tVL0ap1OiDGn1Qo1RtGesF0eZAtF6I16xe36L1QrzmvL1Vvif9WcDRWa7YarXodDq0220GgwFmBkBKiVarRb/fp9Pp0Ov16Ha7U//u9/u0Wi1SSgCYGYPBgHa7PfNtrK+vL7w86+vrrKysuGsa3cZoQna7XTdNW2+j1WrRbrdZX19307T1NlJKG9/jpWnr31sbPTRt/dvM3DVtHadOp8NgMGDnzp21aJK5zbReMGmdIM8caPLv+7jH5yY3TRun0brFaP3JQ9OkcZr2HNzEplluY9H147o1jVueTqdDv9+f6TGrKU2zLs/OnTvdNW13G5sfs+ZR5svdxzKz5wHrwMsnXOfZZnaDmd2wuro67mqNZWYbg++VGn1Qow9qlDqbtl4w6zpBtDkQrRfiNavXt2i9EK85b6uVubffzO4LvDal9JBNl30f8EPAY1NK52a5nSuvvDIdPTrTQffG2LFjBwC33357xUtSHjX6oEYf1Lh8V1111Y0ppaurXo46KWK9YNI6Qd3mQNmi9UK8ZvX6Fq0X4jVv7p1nvWCpL3c3sycAPwt806wb6F5FeCmkGn1Qow9qlDoqer0g2hyI1gvxmtXrW7ReiNect7e0jXQzewXwGGCfmd0EPJ/hWVtXgDdmh/6Pp5R+uKxlqLNWq5J3GiyVGn1Qow9qlKotY70g2hyI1gvxmtXrW7ReiNect7e0jfSU0tO3ufhFZd1f0/T7/aoXoXRq9EGNPqhRqraM9YJocyBaL8RrVq9v0XohXnPe3li7Mmqk0+nQ6VR5cv3yqdEHNfqgRokg2hyI1gvxmtXrW7ReiNectzfOT6hmer1e1YtQOjX6oEYf1CgRRJsD0XohXrN6fYvWC/Ga8/ZqI70i3W4X8P2SDzX6oEYf1CgRRJsD0XohXrN6fYvWC/Ga8/ZqI70iEfYiqdEHNfqgRokg2hyI1gvxmtXrW7ReiNesI+kNE2Evkhp9UKMPapQIos2BaL0Qr1m9vkXrhXjNOpLeMBH2IqnRBzX6oEaJINociNYL8ZrV61u0XojXrCPpDRNhL5IafVCjD2qUCKLNgWi9EK9Zvb5F64V4zTqS3jAR9iKp0Qc1+qBGiSDaHIjWC/Ga1etbtF6I16wj6Q0TYS+SGn1Qow9qlAiizYFovRCvWb2+ReuFeM06kt4w6+vrVS9C6dTogxp9UKNEEG0OROuFeM3q9S1aL8RrztvbKng5ZEbtdpt2u131YpRKjT6o0Qc1SgTR5kC0XojXrF7fovVCvOa8vTqSXpHBYFD1IpROjT6o0Qc1SgTR5kC0XojXrF7fovVCvOa8vdpIr4iZVb0IpVOjD2r0QY0SQbQ5EK0X4jWr17dovRCvOW+vXu4uIiIiIiIiUhM6kl6RlFLVi1A6NfqgRh/UKBFEmwPReiFes3p9i9YL8Zrz9mojvSKtlv8XMajRBzX6oEaJINociNYL8ZrV61u0XojXnLdXG+kVifDZgGr0oYzGYyfPcOTEGqfP9tm3u82hA3s5uH9P4fczK42jDxEaZbJocyBaLzSjucjnuCb0Fkm9/kVrzturjfSKdDrDH73nzwpUow9FNx47eYbDx1c53x++/OfU2T6Hj68CVLahrnH0IUKjTBZtDkTrhfo3F/0cV/feoqnXv2jNeXu1kV6RXq9X9SKUTo0+FN145MTaxsrLyPl+4siJtco20jWOPkRolMmizYFovVD/5qKf4+reWzT1+hetOW+vNtIr0u12Ad8v+VCjD0U3nj67/e2Mu3wZNI4+RGiUyaLNgWi9UP/mop/j6t5bNPX6F605b6820isSYS+SGn0ounHf7jantllZ2be7Xej9zEPj6EOERpks2hyI1gv1by76Oa7uvUVTr3/RmvP2xjq9Xo10u92NPSteqdGHohsPHdjLStsuuGylbRw6sLew+5iXxtGHCI0yWbQ5EK0X6t9c9HNc3XuLpl7/ojXn7dWR9IpE2Iukxnqb9eyzRTeO7qNOZ3dv8jjOSo0SQbQ5EK0X6t+c5zlu0vNx3XuLpl7/ojXrPekNE+H9GGqsr3nOPltG48H9eyrdKN+qqeM4DzVKBNHmQLReaEbzPM9x056Pm9BbJPX6F61Z70lvmAh7kdRYX/OcfbapjfNQow8RGmWyaHMgWi/4a572fOytdxr1+hetWUfSGybCXiQ11tc8Z59tauM81OhDhEaZLNociNYL/pqnPR97651Gvf5Fa9aR9IaJsBdJjfU1z9lnm9o4DzX6EKFRJos2B6L1gr/mac/H3nqnUa9/0Zp1dveGiXBmQzXW1zxnn21q4zzU6EOERpks2hyI1gv+mqc9H3vrnUa9/kVr1tndGybCSzya0jjrWc6305TGreY5+2xTG+ehRh8iNMpk0eZAtF6Yr3mR5/dlmfZ8HG2M1etftOa8vdpIr0ir5f9FDE1onOcs59tpQuM4s559tsmNs1KjDxEaZbJocyBaL8zevOjz+zJNej6ONsbq9S9ac97eWD+lGkkpkVKafsUGa0LjpLOqzqIJjYtSow9qlAiizYFovTB786LP73URbYzV61+05ry92kiX0OY5y7mIiIg0g57fRaTJtJFeETPDzKZfscGa0Ljd2cwnXb5VExoXpUYf1CgRRJsD0Xph9uZFn9/rItoYq9e/aM15e7WRXpHBYMBgMKh6MUrVhMZ5znK+nSY0LkqNPqhRIog2B6L1wuzNiz6/10W0MVavf9Ga8/bqxHEVabf9f/5lExrnOcv5dprQuCg1+qBGiSDaHIjWC7M3L/r8XhfRxli9/kVrzturjfSKRJiYTWmc9Szn22lK4yLU6IMaJYJocyBaL8zXvMjze11EG2P1+hetOW+vNtIrMvpQe8+fFahGH9TogxolgmhzIFovxGtWr2/ReiFec95ebaRXJMJeJDX6oEYf1CgRRJsD0XohXrN6fYvWC/GadSS9YSLsRVKjD2r0QY0SQbQ5EK0X4jWr17dovRCvWUfSGybCXiQ1+qBGH9QoEUSbA9F6IV6zen2L1gvxmnUkvWEi7EVSow9q9EGNEkG0ORCtF+I1q9e3aL0Qr1lH0hsmwl4kNfqgRh/UKBFEmwPReiFes3p9i9YL8Zp1JL1hIuxFUqMPavRBjRJBtDkQrRfiNavXt2i9EK9ZR9IbJsJeJDX6oEYf1CgRRJsD0XohXrN6fYvWC/GadSS9YSLsRVKjD2r0QY0SQbQ5EK0X4jWr17dovRCvWUfSG2Z9fb3qRSidGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e7WRXpF2uw34nqh1bzx28gxHTqxx+myffbvbHDqwl4P798x1G3VvLIIafVCjRBBtDkTrhWY351nvaHJvHur1L1pz3l5tpFdkMBhUvQilq3PjsZNnOHx8lfP9BMCps30OH18FmGtDvc6NRVGjD2qUCKLNgWi90NzmvOsdTe3NS73+RWvO29sqeDlkRmaGmVW9GKWqc+ORE2sbT5Qj5/uJIyfW5rqdOjcWRY0+qFEiiDYHovVCc5vzrnc0tTcv9foXrTlvrzbSJaTTZ7c/ecO4y0VERETy0nqHiMxDG+kVSSmRUpp+xQarc+O+3e25Lh+nzo1FUaMPapQIos2BaL3Q3Oa86x1N7c1Lvf5Fa87bW9pGupm92Mw+Z2bv2XTZvzOz95rZwMyuLuu+m6DVatFq+d5HUufGQwf2stK+8KUnK23j0IG9c91OnRuLokYf1ChVW8Z6QbQ5EK0Xmtucd72jqb15qde/aM15e8s8cdxLgMPAkU2XvQf4DuB/lXi/jRDhswHr3Dg6ScusZ1kdd0bWeRuLOKP8stV5HIuiRh8iNDbcSyh5vSDaHIjWC81onvRcv93lk67fhN4iqde/aM15e0vbSE8pXWdm991y2fuBUCcLGKfTGf7oPX/8QN0bD+7fM9MG8qQzsl7zoH3AbI1FnVF+2eo+jkVQow8RGptsGesF0eZAtF6of/O05/qtz/fTrl/33qKp179ozXl7G/ERbK1Wi06nQ7vdZjAYbDyZp5RotVr0+306nQ69Xo9utzv1736/T6vV2nh/gJkxGAxot9sz38b6+vpCy9Nut1lfX2dlZcVN03a3kVKi2+02uul1Hz7Fffft4cz5dVY6LQYpsT5IvOVT6zzhq9LG3Jy2PMc/0+eSPSvcaUeHXn/4cQzddou/++htXPOgfZWO06TbGAwGdLvdsY11GadFbmNro4emrX+Pvm/Hjh1umsaN086dO2vRJOWYtE6QZw40+fd93ONzk5umjdPIaP2pbk1vvXnA7p1drti7k5tuuZXLL97FTbfcyvU3D/iW+99xnK67qcfdL9oFDNcJzt2+zsV32sFrP3SOax60b+pzcF3HKe/cK2r9uE5NsyzPLI9ZTWsatzyj+9i5c6ebpmm3MXrMmuu5bq5rL5GZPdvMbjCzG1ZXV6tenMJ1Op2NPStedTodut1u1YuxsNVz279M5ZZz/bnG8ZZbt/+cxHG3XxdR5qr3xm63677Ry2OO3NGs6wQR5vlmER67tqp789qt2z+nr902bl1i8rpB3XuLpl7/ojXnfV6yMvf2Zy9re21K6SFbLv9H4GdSSjfMcjtXXnllOnr0aPELWKF2e3g2T8/vy/DS+Mxrb+LUNh+RcunuNkee9hXAbI2TbudPnnr54gtaEi/jOIkafahb41VXXXVjSin0SVK3KmK9YNI6Qd3mQNmi9UL9m+d9rp92/br3Fk29/kVr3tw7z3pBbY+ke9ftdt0f8fHSOOmMrPM0FnVG+WXzMo6TqNGHCI0yWbQ5EK0X6t8873P9tOvXvbdo6vUvWnPe3tJea2BmrwAeA+wzs5uA5wOrwO8DlwKvM7MTKaXHl7UMddbr9apehNJ5aZx0RtZer8dbPn6WP3rb6alnbJ/3jPLLMu2M817GcRI1+hChscmWsV4QbQ5E6z128gyv/uBn+fy5Ph0bVP4cOu9Z3Lcz7frRxli9/kVrzttb5tndnz7mS9eWdZ9NMtqj4vmlHp4ax50J/p2n1vmbj9y28VK1aWdsn/WM8ssyyxnnPY3jOGr0IUJjky1jvSDaHIjUO3q+uuIed+ZeK/CeT32x0k9Imfcs7pNMun6kMQb1RhCtOW+vXu5ekV6v535PUoTGP77+c3z08+cuuOx8P3HkxFo1CzSnIyfWNlYwRrYuf4RxVKMPERplsmhzIFLv6Pnqpltu5aZbbgWqfb6d5fmzCJHGGNQbQbTmvL1xTq1XMxH2IkVo3LWyg8tXYO3chb98p7c5CUwdjVvOzZdHGEc1+hChUSaLNgci9Y6ely6/ePhxZaPn3aqeb2d5/ixCpDEG9UYQrTlvrzbSKzLvB9o3UYTG3vo6n9/mI9T27W5XsDTz27e7ve1ZZTcvf4RxVKMPERplsmhzIFLv6Pnqs188f4fLq1ye7S4vUqQxBvVGEK05b69e7l6Rdru9cUp+ryI0HvraS7jHnVcuuKwJZ2wfmeUstBHGUY0+RGiUyaLNgUi9o+erS+60g0vutAOo9vl2WZ/YEmmMQb0RRGvO26sj6RUZDAZVL0LpIjQ+7J47uX29z81fOHvBWVlh+NmndTqL+3ZmOQtthHFUow8RGmWyaHMgUu/oeekNJ2/jlnMDLq34uTXPJ7ZM+zSV7UQaY1BvBNGa8/ZqI70iZjb9Sg0XpfEb77OHq++xY+OyWc6YXifTzkIbZRy9U6NEEG0OROs9uH8Pj3/gJQDcfvvtFS/NfGdxz7tuEG2M1etftOa8vXq5u0jBlnXGVxEREWkGrRuIyDx0JL0iKaXpV2q4qI3LOuPrskQdR2/UKBFEmwPReqG5zXnXDZram5d6/YvWnLdXG+kVabX8v4ghauOyzvi6LFHH0Rs1SgTR5kC0Xmhuc951g6b25qVe/6I15+2N9VOqkX6/7/7zAaM2LuuMr8sSdRy9UaNEEG0OROuF5jbnXTdoam9e6vUvWnPeXh1Jr0inM/zRe/6swKiNec74WmdRx9EbNUoE0eZAtF5obnPedYOm9ualXv+iNeft1UZ6RXq9XtWLULrIjfOc8bXuIo+jJ2qUCKLNgWi90OzmPOsGTe7NQ73+RWvO26uN9Ip0u10A1y/3UKMPavRBjRJBtDkQrRfiNavXt2i9EK85b6820isSYS+SGn1Qow9qlAiizYFovRCvWb2+ReuFeM06kt4wEfYiqdEHNfqgRokg2hyI1gvxmtXrW7ReiNesI+kNE2Evkhp9UKMPapQIos2BaL0Qr1m9vkXrhXjNOpLeMBH2Iqmx3o6dPDPTWWab3DgrNfoQoVEmizYHovUeO3mG628esHZbn5vXzjb6k1NmFW2M1etftGYdSW+YCHuR1Fhfx06e4fDxVc73EwCnzvY5fHwV4A4rPE1tnIcafYjQKJNFmwORekfPW7tWhquua+fGP295EmmMQb0RRGvO29sqeDlkRt1ud2PPildqrK8jJ9Y2NtBHzvcTR06s3eG6TW2chxp9iNAok0WbA5F6R89bl1+8i8sv3gWMf97yJNIYg3ojiNact1dH0isSYS+SGuvr9NntX3Kz3eVNbZyHGn2I0CiTRZsDkXpHz083f+G2bS/3KtIYg3ojiNas96Q3TIT3Y6ixvvbtbnNqmxWbfbvbd7isqY3zUKMPERplsmhzIFLv6HnrbnfeCcDpM7dvXO5ZpDEG9UYQrTlvr17uXpF+v+9+cqqxvg4d2MtK2y64bKVtHDqw9w7XbWrjPNToQ4RGmSzaHIjUO3reuuXc7dxybriBPu55y5NIYwzqjSBac95eHUmvSKvlf/+IGutrdJKdWc7u3tTGeajRhwiNMlm0ORCpd/T8dN1NPW45N+DSCc9bnkQaY1BvBNGa8/ZqI70iKaXpV2o4Ndbbwf17Zlq5aXLjrNToQ4RGmSzaHIjWe3D/Hh7/wB0A3H777RUvzXJEG2P1+hetOW9vrF0ZIiIiIiIiIjWmI+kVMbPpV2o4NfqgRh/UKBFEmwPReiFes3p9i9YL8Zrz9mojvSKDwaDqRSidGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e/Vy94q0223abd8fG6JGH9TogxolgmhzIFovxGtWr2/ReiFec97emY6km9nXAI/K/vtPKaV3zn1PcoG8H2zfJFU2Hjt5ZqYzly9K4+iDGn2I0FgXdV0viDYHovVCrOZjJ8/w2g99jtVzfUj9EGezjzS+EK8X4jXn7Z16JN3MfgJ4OXC37M/LzOzHct2bbOh2uxsfbu9VVY3HTp7h8PFVTp3tk4BTZ/scPr7KsZNnCr8vjaMPavQhQmMd1Hm9INociNYLcZpH6zLdbpe7X7Sz1HWZOokyviPReiFec97eWY6kfz/w9SmlswBm9uvAvwC/P/e9yYYIe5GqajxyYo3z/Qs/7uB8P3HkxFrhe6A1jj6o0YcIjTVR2/WCaHMgWi/EaR6ty9x0y60bl5W1LlMnUcZ3JFovxGvO2zvLRroB/U3/72eXyQJGe1T6/f6UazZXVY2nz25/f+MuX4TG0Qc1+hChsSZqu14QbQ5E64U4zaN1lssv3gXA2rneBZd7FWV8R6L1QrzmvL2zbKT/CfBWM7s2+/9TgBfNdS9yBxH2IlXVuG93m1PbPInt2138SSo0jj6o0YcIjTVR2/WCaHMgWi/EaR6ty2w+kj663LMo4zsSrRfiNZf2nvSU0m8DzwRWsz/PTCn9f7nuTTZEeD9GVY2HDuxlpX3hQZ2VtnHowN7C70vj6IMafYjQWAd1Xi+INgei9UKc5tG6zOUX79o4ml7WukydRBnfkWi9EK+58Pekm9ldUkpfNLNLgI9lf0ZfuySltJpjOSUTYS9SVY2j92rp7O7FUKMPapxsWZ8I0WRNWC+IMM83m6fXyxyPMsajsXn1B8/y+XN9Lm3wmM0jyviOROuFeM1lvCf9z4AnATcCm8/CZdn/75frHgWI8X6MKhsP7t+zlCcyjaMPavQhb+PoLMqjE06OzqIMuF8hnlPt1wsizPPNZu31NMcjjfHB/Xu45kH7ALjtttsqXprliDS+EK8X4jUX/p70lNKTsr/3L7Jgsr0Ie5HU6IMafVDjeMv8RIgma8J6QYR5vtmsvZ7muMbYN/X6F625zM9Jf6qZXbTp/3vN7Cm57k02RHg/hhp9UKMPahxvmZ8I4UGd1wsizPPNZu31NMc1xr6p179ozXl7p26kA89PKX1h9J+U0hrw/LnvSS6wvr7O+vp61YtRKjX6oEYf1DjeuLMlez+L8gJqu14QYZ5vNmuvpzmuMfZNvf5Fa87bO8tG+nbXmeWj22SCdrtNu928J8d5qNEHNfqgxvGW+YkQTtR2vSDCPN9s1l5Pc1xj7Jt6/YvWnLd3lifVG8zst4E/yP7/owxPGiMLGAwGVS9C6dS4nLPpln0fGkcfmto4z/zO27jMT4RworbrBUXM8yadBX3WXk9zvMzHsrLHPs/tN/WxOy/1+hetOW/vLBvpPwb8InCU4dlb38jwCVkWYGbTr9Rw0RuXcTbdZdxH9HH0oomN887vRRqX9YkQTtR2vWDRed60s6DP0+tljpf1WFb22Oe9/SY+di9Cvf5Fa87bO/Hl7mbWBl6bUnpuSunqlNLXpZT+c0rpbK57Ewlk0tl0m3QfIlXR/K4f7+sFmnNxlT32mlsiMo+JR9JTSn0zG5jZRZtPEiOLSylNv1LDRW9cxtl0l3Ef0cfRiyY2zju/m9jYNHVfL1h0DjTtLOgR53xZzWWPfd7bjzbG6vUvWnPe3lle7n4GeLeZvRHY2FOeUvrxXPcoALRas5yzr9miN+7b3ebUNk++RZ5Ndxn3EX0cvWhi47zzu4mNDVXb9YJF58AyHlOLFHHOl9Vc9tjnvf1oY6xe/6I15+2d5bv+iuF7z65jeGKY0R9ZQL/fp9+v5575okRvXMbZdJdxH9HH0YsmNs47v5vY2FC1XS9YdA407SzoEed8Wc1lj33e2482xur1L1pz3t6pR9JTSi81sx3AA7KLPphS6s19T3KBTmf4o6/T5wQWfVbTOjYWbVLjMs6mu4z7iD6OXjSxcd753cTGJqrzesGic6BpZ0GPOOfLai577PPefpPHOM96ZZN784jWC/Ga8/badq+TN7O9KaW17N+PAV4KfAww4N7AM1JK1+Vf3PlceeWV6ejRo8u6u6UYfV5eXfYkbT3rKAz38D7nEZfkfoKqW2MZ1OiDGn2oW+NVV111Y0rp6qqXowh1Wi+YtE5QtzlQtmi9EK+5qb151yub2ptXtF6I17y5d571gnFH0r/TzM6llF4B/HfgcSmlDwKY2QOAVwAPW3yx4+p2u0B9Juiks47m3UivW2MZ1OiDGn2I0FihRqwXRJsD0XohXnNTe/OuVza1N69ovRCvOW/vthvpKaUXmdnPjm579EScfe1fzaybczkl0+vV4pWBG8o4q2ndGsugRh/U6EOExqo0Zb0g2hyI1gvxmpvam3e9sqm9eUXrhXjNeXvHvic9pfQb2T9vMLM/Bl6W/f97gRty3ZtsqNtepDLOalq3xjKo0Qc1+hChsUpNWC+INgei9UK85qb25l2vbGpvXtF6IV5z3t5Zzu7+I8D7gB/P/rwvu0wW0Ov1arUnqYyzmtatsQxq9EGNPkRorInarhdEmwPReiFec1N7865XNrU3r2i9EK85b+8sn5P+rcAfpJR+e54bNrMXA08CPpdSekh22SXAUeC+DE84810ppVvmuV0v6rYXqYyzmtatsQxVNo7OmnrqbJ+WwSDBpSWciVjj6IMapUC1XS+INgei9cJ8zUV/ak1ZJi1nU8c473plU3vzitYL8ZoLfU/6Ft8G/I6ZXcfwifRvU0qznEP+JcBh4Mimy54LvCml9EIze272/5+ba4mdqOMepIP79xT65FXHxqJV1bj1rKmD7Nwsp872OXx8FaCwsdQ4+qBGKVBt1wuizYFovTB789bnyTKeH4swbTmbPMZ51iub3JtHtF6I11z4e9JHUkrPzE4Icw3wdOAPzOyNKaUfmPJ915nZfbdc/GTgMdm/Xwr8IzM8GbdaLTqdDu12m8FggJmN7oNWq0W/36fT6dDr9eh2u1P/7vf7tFotRh8/Z2YMBgPa7fbMt7G+vr7Q8uzZs4f19XXW19fdNG29jZ07dwJw2223uWnaehudTodOp8OZM2eW2vSWT61z6V120mkZLTPOrw/Ys9Jh9dzt3P0uK7z6g2e55kH7Cvm5tFotut3u2MYmjNO029ja6KFp69+dTgcz4/z5826ato7TysoKKSXW19dr0eRV1esFk9YJdu3aRb/fp9/vu3quGXcb4x6fm9w0bZy63eFRqV6vN7Hp+psH7FrpcMXFu/j02m3c86KdnD5znrd8ap3HPaBbm6brbupx94t2AdBttzh3+zoX32kHr/3QOa550L6pz8F1Hae8c6+o9eM6NU1annkes5rSNG159uzZs/H766Vp0m2M1k16vfk21mc5kk5KqWdmfwMkYBfwFGDik/EYd08pfSb7983A3cdd0cyeDTwb4LLLLstxV/U2egDyrN/vu15RhepeqnPLucn3+/kpX5/H+vr6xgOVV1EaW61ZTkPSXP1+n8FgUPVihLDs9YJZ1wlGK/ZRRHjs2mrW592127a/3rTnz2W75dz283U1W85oY7y+vh7mZdAwnM8RxzjCOslI3u09m7YRZWbXAN/NcE/3PwKvAt4wy0vbsj3mr9303rO1lNLeTV+/JaV08bTbufLKK9PRo0enXa1RVlZWADaOanmkxvI889qbtj1r6silu9v8yVMvL+S+NI4+qHH5rrrqqhtTSldXvRxFq3q9YNI6Qd3mQNmi9cLszeOeJ4t8fizCtOWMNsbq9S9a8+beedYLZtmFcQj4a+CBKaXvSym9fsb3nm3ns2Z2T4Ds78/lvJ3GGwwG7vf2q7E82501dWTRs/JvpXH0QY1SoNquF0SbA9F6YfbmMj61pgzTljPaGKvXv2jNeXtneU/603Mt0fZeAzwDeGH296sLvO1GifCyFjWWd2bZzWdNLfvs7hpHH9QoRanzekG0ORCtF2ZvLuNTa2Y1z3P/tOWMNsbq9S9ac97esRvpZvaWlNIjzexLDN9zZpv/TindZcoCvYLhS+H2mdlNwPMZPgm/ysy+H/g48F25llqkAco+s2zRZ+MXEZlE6wXSNFU8T+Z57tfzuYhsNXYjPaX0yOzvO+e54Ql72h+b5/a88X5CNVDjkRNrG0/SI+f7iSMn1hr1ZBx9HL1QoyyqCesF0eZAtF6of3PRz/117y2aev2L1py3d+rL3c3sKuCrsv++L6X03lz3JBeIcEbD6I2nx5zYbdzldRV9HL1QoxSlzusF0eZAtF6of3PRz/117y2aev2L1py3d9LL3S9i+N6w+wDvZPhytqvM7BPAk1NKX8x1jwJU99FdyxS9cd/u9rZnbN23u13mIhUu+jh6oUZZVBPWC6LNgWi9UP/mop/7695bNPX6F605b++kTftfBW4A7p9SempK6SnAFcDbgF/LdW+yodPp0OnM9DH1jRW9sSlnlp0m+jh6oUYpQO3XC6LNgWi9UP/mop/7695bNPX6F605b++k7/gW4KtTShvnjE8pDczsPwPvnn8RZbNer1f1IpQuemOVZ5YtUvRx9EKNUoDarxdEmwPReqH+zUU/99e9t2jq9S9ac97eSRvpt2/3uacppXUzi/Hp8yXqdruA75d8qNHHGVs1jj6oUQpQ+/WCaHMgWi80o7nI5/4m9BZJvf5Fa87bO2kjfaeZfS3D95xtZsDKXPcidxBhL5IafVCjD2qUAtR+vSDaHIjWC/Ga1etbtF6I11zGkfTPAL895ms357o32RBhL5IafVCjD2qUAtR+vSDaHIjWC/Ga1etbtF6I11z4kfSU0sHFFkkmibAXSY0+qNEHNcqimrBeEG0OROuFeM3q9S1aL8RrLuNIupQowl4kNfqgRh/UKBFEmwPReiFes3p9i9YL8ZrLeE+6lCjCXiQ1+qBGH9QoEUSbA9F6IV6zen2L1gvxmnUkvWEi7EVSow9q9EGNEkG0ORCtF+I1q9e3aL0Qr7m0I+lmZsD3AvdLKf2Kmd0HuEdK6focyymZCHuR1OiDGn1QoxSlzusF0eZAtF6I16xe36L1QrzmvL2tGa7zh8A3AE/P/v8l4A9y3Zts6Ha7G3tWvFKjD2r0QY1SoNquF0SbA9F6IV6zen2L1gvxmvP2zvJy969PKT3UzN4BkFK6xcx2zH1PcoEIL/FQow9q9EGNUqDarhdEmwPReiFes3p9i9YL8Zrz9s6ykd4zszaQAMzsUmCQ695kQ6s1y4sYmk2NPqjRBzVKgWq7XhBtDkTrhXjN6vUtWi/Ea87bO8tG+u8B1wJ3M7NfA54G/EKue5MNKaXK7vvYyTMcObHG6bN99u1uc+jAXg7u31P4/VTZuCxq9EGNPkRorInarhdEmwPReiFes8feSeuhHnsnidYL8Zrz9k7dSE8pvdzMbgQeCxjwlJTS+3Pdm1Tu2MkzHD6+yvn+cMKcOtvn8PFVgFI21EVExBetF4hIXloPFZnN2I10M7tk038/B7xi89dSSqtlLph3w5PjLt+RE2sbD4wj5/uJIyfWCn9wrKpxmdTogxp9iNBYpSasF0SbA9F6IV6zt95p66HeeqeJ1gvxmvP2TjqSfiPD95sZcB/gluzfe4FPAPtz3aMAMBhU8/a902e3P3nBuMsXUVXjMqnRBzX6EKGxYrVfL4g2B6L1Qrxmb73T1kO99U4TrRfiNeftHftO9pTS/pTS/YC/B74tpbQvpXRX4EnAG3Ldm2xot9u02+2l3+++3dvf57jLF1FV4zKp0Qc1+hChsUpNWC+INgei9UK8Zm+909ZDvfVOE60X4jXn7Z3ldHOPSCm9fvSflNLfAN849z3JBXq9Xu4Pt1/EoQN7WWlf+LKLlbZx6MDewu+rqsZlUqMPavQhQmNN1Ha9INociNYL8Zq99U5bD/XWO020XojXnLd3lrO7f9rMfgF4Wfb/7wU+Pfc9yQVGH2q/7M8KHL3vfNazuy9yJviyG5d1lvpJqhrHZVKjD2qUAtV2vSDaHIjWC/VqXsZ6SBG9dVhfGpm2Hlqn8V2GaL0Qrzlv7ywb6U8Hns/w41YScF12mSygyj1IB/fvmenBedEzcJbZWJezg0bYE6hGH9QoBartekG0ORCtF+rTvKz1kEV767K+tNmk9dC6jO+yROuFeM15e2f5CLZV4Cdy3bqM1YS9SIueCb7MxmWepX6SJozjotTogxqlKHVeL4g2B6L1Qn2al7UesmhvXdaXZlWX8V2WaL0Qr7nMI+lSgibsRVr0TPBlNi7zLPWTNGEcF6VGH9QoEUSbA9F6oT7Ny1oPWbS3LutLs6rL+C5LtF6I15y3d5YTx0kJut3uxp6Vulr0TPBlNi7zLPWTNGEcF6VGH9QoEUSbA9F6oT7Ny1oPWbS3LutLs6rL+C5LtF6I15y3VxvpFWnCmQ0XPRN8mY3LPEv9JE0Yx0Wp0Qc1SgTR5kC0XqhP87LWQxbtrcv60qzqMr7LEq0X4jWXdnZ3M9sJfD9wJbBzdHlK6Vlz35sAw5N4XH/zgLXb+ty8drbSs2xOMu+Z4Lcq8z0niy5bUSK8r0aNPqhRilLn9YJocyBaL9SneVnrIYv21mV9aVZ1Gd9lmae3TmfpX4TGeDazvCf9T4EPAI8HfoXhR628f77Fk5HRWTZ37xwO2GoNzrI5yaxngt9O2XvJFlm2okTYE6hGH9QoBartekG0ORCtF+rVvIz1kCJ667C+NKs6je8yzNpbx7P056Uxns0sL3e/f0rpF4GzKaWXAt8KfH2ue5ONs2ze86Kd3POi4QGI0Vk2vYnwnhM1+qBGHyI01kRt1wuizYFovRCvWb2+zdo76Sz9TaMxns0sR9JHm/9rZvYQ4GbgbnPfkwBfPpvm6TPnt73ck/X19aoXoXRq9EGNPkRorInarhdEmwPReiFes3p9m7W3aWfpn0RjPJtZjqT/kZldDPwC8BrgfcBv5Lo32Tib5l12drnLzu4dLvek3W7Tbvvr2kyNPqjRhwiNNVHb9YJocyBaL8RrVq9vs/Y27Sz9k2iMZzP1SHpK6Y+zf14H3G/ue5ALHDqwl8PHV7m19+U9X3U+y+YiBoNB1YtQOjX6oEYfIjTWQZ3XC6LNgWi9EK9Zvb7N2jvaftj8kvembj9ojGcz9Ui6mf2pmV206f9fYWZvynVvwsH9e3jOIy7hbns6dFvGpbvbPOcRlzTupA+zMDPMbPoVG0yNPqjRhwiNdVDn9YJocyBaL8RrVq9vs/aOth8u3d3GoNHbDxrj2czynvS3AG81s/8I3Av4T8BPz31PsuHg/j08/oE7ALj99tsrXhoREZG5aL1ARGTJmnSWflncLC93/19m9l7gGHAa+NqU0s2lL5lzKaXpV2o4NfqgRh/UKEWp83pBtDkQrRfiNavXt2i9EK85b+8sL3f/D8CLgUPAS4DXm9nX5Lo32dBqtWi1ZjlvX3Op0Qc1+qBGKUqd1wuizYFovRCvWb2+ReuFeM15e2d5uft3Ao9MKX0OeIWZXQu8FDgw973Jhn6/eR+ZMC81+qBGH9QoBartekG0ORCtF+I1q9e3aL0Qrzlv7ywvd3/Klv9fb2YPz3VvsqHTGf7oPX9WoBp9UKMPapSi1Hm9INociNYL8ZrV61u0XojXnLd36ka6me0Evh+4Eti56UvPmuue5AK9Xq/qReDYyTMcObHG6bN99u1uc+jA3kJPSFGHxrKp0Qc1+hChsQ7qvF4QbQ5E64V4zWX2lr0emIfG179ozXl7Z3mB/J8C9wAeD7wZuBz4Uq57kw3dbpdut1vZ/R87eYbDx1c5dbZPAk6d7XP4+CrHTp4p7D6qblwGNfqgRh8iNNZEbdcLos2BaL0Qr7ms3mWsB+ah8fUvWnPe3rEb6WY2Osp+/5TSLwJnU0ovBb4V+PpcSykber1epXuSjpxY43z/wrMNnu8njpxYK+w+qm5cBjX6oEYfIjRWqQnrBdHmQLReiNdcVu8y1gPz0Pj6F605b++kI+nXj247+3vNzB4CXATcbe57kgtUvRfp9NntT2Iw7vI8qm5cBjX6oEYfIjRWrPbrBdHmQLReiNdcVu8y1gPz0Pj6F605b+8sZ3f/IzO7GPgF4DXAHuAX574nuUDVe5D27W5zapsH4n2724XdR9WNy6BGH9ToQ4TGmqjtekG0ORCtF+I1l9W7jPXAPDS+/kVrzts7aSP9bmb2H7N/PzP7+w+yv3fnujfZMNqjUtXHEBw6sJfDx1cveKnTSts4dGBvYfdRdeMyqNEHNfoQobFitV8viDYHovVCvOayepexHpiHxte/aM15eydtpLcZ7h23bb6WtrlM5lD1XqTR2Tubdnb3up2JtOpxXAY1+qBGKUDt1wuizYFovdCM5iLXVcrqXcZ6YB5NGN8iReuFeM1lHEn/TErpV/ItjkxTh71IB/fvKfXBuOjG0ZlIR3t9R2ciBSp7UqnDOJZNjT6oUQpQ+/WCaHMgWi/Uv7nodZUye8teD8yj7uNbtGi9EK85b++kE8dtt6dcCrK+vj73h9o3TdGNdTwTqcbRBzX6EKGxYrVfL4g2B6L1Qv2bi15XqXtv0dTrX7TmvL2TNtIfm39xZJp2u027Xe3JOcpWdGMdz0SqcfRBjT5EaKxY7dcLos2BaL1Q/+ai11Xq3ls09foXrTlv79iXu6eUVhdaIploMBhUvQilK7qxjmci1Tj6oEYfIjRWqQnrBdHmQLReqH9z0esqde8tmnr9i9act3fSkXQpkZlhVvtXDi6k6MZDB/ay0r7w9qo+E6nG0Qc1+hChUSaLNgei9UL9m4teV6l7b9HU61+05ry9lWykm9lPmNl7zOy9ZvaTVSyDNM/B/Xt4ziMu4dLdbQy4dHeb5zziktqd9EREROaj9QLxQusqIlKESWd3L4WZPQT4QeDhwO3A35rZa1NKH172slQppVp8Wk2pymis25lINY4+qNGHCI0eFbleEG0OROuFZjQXua7ShN4iqde/aM15e5e+kQ48CHhrSukcgJm9GfgO4DfGfUOr1aLT6dButxkMBhsvGUgp0Wq16Pf7dDoder0e3W536t/9fp9Wq7XxQzMzBoMB7XZ75ttYX19faHl27drF+vo6rVbLTdPW21hZWblgDD00bb2NdrtNp9NhMBi4adp6G2ZGt9sd29jEpq1/b2300LT173a7fcFLrjw0bR2nHTt2kFKqTZPMbK71gknrBDt37qTf7881B5r8+z7u8bnJTdPGqdvtbswDL02Txmnac3ATmyb9XdT6cZ2aJi3PPI9ZTWmatjy7du2i1+vRbrfdNE26jdG6Sas13wvYq3i5+3uAR5nZXc3sTsATgXtvvZKZPdvMbjCzG1ZXa3+umrn1+333nw84GAzU6ECEuRql0fvJWiL8Pjo1db1g1nWCCPN8swiPXVtFa47YG+l3OOLzlub0bKyKvf1m9v3A/wucBd4LnE8p/eS461955ZXp6NGjS1q65di5cycAt912W8VLUh41+qBGH9S4fFddddWNKaWrq16OJphnvWDSOkHd5kDZovVCvGb1+hatF+I1b+6dZ72gipe7k1J6EfAiADP7r8BNVSxHlXq9XtWLUDo1+qBGH9QodVbUekG0ORCtF+I1q9e3aL0QrzlvbyUb6WZ2t5TS58zsPgzfd/aIKpajSqP3VHl+uYcav+zYyTMcObHG6bN99u1uc+jA3lqdAG+Secexia2aqz5EaPSqqPWCaHMgWi/Eay6zd97n62U8v2t8/YvWnLe3ko104C/N7K5AD/jRlNJaRctRmQh7kdQ4dOzkGQ4fX+V8f/jWklNn+xw+PnxPZd03XmG+cWxqq+aqDxEaHStkvSDaHIjWC/Gay+qd9/l6Wc/vGl//ojXn7a3kc9JTSo9KKT04pfQ1KaU3VbEMVet2uxt7VrxS49CRE2sbT2oj5/uJIyfWSlyy4swzjk1t1Vz1IUKjV0WtF0SbA9F6IV5zWb3zPl8v6/ld4+tftOa8vVUdSQ8vwl4kNQ6dPrv9y1vGXV4384xjU1s1V32I0CiTRZsD0XohXnNZvfM+Xy/r+V3j61+05kYdSZcYe5HUOLRvd3uuy+tmnnFsaqvmqg8RGmWyaHMgWi/Eay6rd97n62U9v2t8/YvWnLdXG+kV6fV67vckqXHo0IG9rLTtgstW2sahA3tLXLLizDOOTW3VXPUhQqNMFm0OROuFeM1l9c77fL2s53eNr3/RmvP26uXuFYlwZsMiGqs6U/is9ztL4+j7mnbG85F5xrGprfp99CFCo0wWbQ5E64V6ne18Gcrqnff5elnP701ed8xDv8P+Ne3s7uFF2IO0aGNVZwqf535nbTy4f09tnyCmmXccm9iq30cfIjTKZNHmQLReqM/ZzpelzDGe9/l6Gc/vTV13zEu/w/7pPekNE+H9GIs2VnWm8HnuV+Pogxp9iNAok0WbA9F6oT5nO1+WaGPc1HXHvKKNL8Rr1tndGybCSzwWbazqTOHz3K/G0Qc1+hChUSaLNgei9UJ5zXX9dJJoY9zUdce8oo0vxGvO26sj6RVptVq0Wr5//Is2VnWm8HnuV+Pogxp9iNAok0WbA9F6obzmun46SbQxbuq6Y17RxhfiNeftjfMTqpmUEiml6VdssEUbqzpT+Dz3q3H0QY0+RGiUyaLNgWi9UF5zXT+dJNoYN3XdMa9o4wvxmvP26uXuUltVnSm8qWcoFxERkXz03O+DxlG80EZ6Rcxs+pUarojGqs4UPuv9ahx9UKMPERplsmhzIFovlNtcx08niTbGTV53zCPa+EK85ry92kivyGAwqHoRSqdGH9TogxolgmhzIFovxGtWr2/ReiFec95evSe9Iu12m3a7niexKIoafVCjD2qUCKLNgWi9EK9Zvb5F64V4zXl7dSS9Ink/2L5J1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26uN9IqMPtTe82cFqtEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RWJsBdJjT6o0Qc1SgTR5kC0XojXrF7fovVCvGYdSW+YCHuR1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvWkfSGibAXSY0+qNEHNUoE0eZAtF6I16xe36L1QrxmHUlvmAh7kdTogxp9UKNEEG0OROuFeM3q9S1aL8Rr1pH0homwF0mNPqjRBzVKBNHmQLReiNesXt+i9UK8Zh1Jb5gIe5HU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea9aR9IZp2l6kYyfPcOTEGqfP9tm3u82hA3s5uH/PxO9pWmMeavRBjT5EaJTJos2BaL0Qr7nM3jzrdmXT+PoXrVlH0humSXuRjp08w+Hjq5zvJwBOne1z+PgqwMQH8yY15qVGH9ToQ4RGmSzaHIjWC/Gay+rNu25XNo2vf9Ga8/a2ylgYmW59fZ319fWqF2MmR06sbTyIj5zvJ46cWJv4fU1qzEuNPqjRhwiNMlm0ORCtF+I1l9Wbd92ubBpf/6I15+3VRnpF2u027Xa76sWYyemz2+/5GXf5SJMa81KjD2r0IUKjTBZtDkTrhXjNZfXmXbcrm8bXv2jNeXv1cveKDAaDqhdhZvt2tzm1zYP2vt2TJ1yTGvNSow9q9CFCo0wWbQ5E64V4zWX15l23K5vG179ozXl7dSS9ImaGmVW9GDM5dGAvK+0Ll3WlbRw6sHfi9zWpMS81+qBGHyI0ymTR5kC0XojXXFZv3nW7sml8/YvWnLdXR9JlqtEJROp2BlARERERmZ/W7UTqTRvpFUkpTb9SjRzcv2fuB+6mNeahRh/U6EOERpks2hyI1gvxmsvszbNuVzaNr3/RmvP2aiO9Iq2W/3caqNEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RWJ8NmAavRBjT6oUSKINgei9UK8ZvX6Fq0X4jXn7Y21K6NGOp0OnY7vfSRq9EGNPqhRIog2B6L1Qrxm9foWrRfiNeftjfMTqpler1f1IpROjT6o0Qc1SgTR5kC0XojXrF7fovVCvOa8vdpIr0i32wWa/ZKPYyfPTDwrqIfGadTYTFvn7k9/0724+rJdrhq38jiOW0VolMmizYFovRCvuYjeaetryzZpeTS+/kVrzturjfSKNH0v0rGTZzh8fJXz/eEZC0+d7XP4+Crw5Y/1aHrjLNTYPNvN3d+57mZ+4OqL+YbLd1a8dOXxNo7bidAok0WbA9F6IV7zor2zrK8t07Tl0fj6F605b6/ek16Rbre7sWeliY6cWNt4gB05308cObG28f+mN85Cjc2z3dy99KKdXPfJ2ytaouXwNo7bidAok0WbA9F6IV7zor2zrK8t07Tl0fj6F605b6+OpFek6XuRTp/d/iUbmy9veuMs1Ng8283dm265lU8BcJdlL87SeBvH7URolMmizYFovRCvedHeWdbXlmna8mh8/YvWrCPpDdP0vUj7drenXt70xlmosXm2m7uXX7yLh9yzuvfnLYO3cdxOhEaZLNociNYL8ZoX7Z1lfW2Zpi2Pxte/aM15e7WRXpFer9foPUmHDuxlpW0XXLbSNg4d2Lvx/6Y3zkKNzbPd3D31hdt49L13VLREy+FtHLcToVEmizYHovVCvOZFe2dZX1umacuj8fUvWnPeXr3cvSJNP7Ph6GQjOru7Gptmu7n7U4++B1dftovbbrut4qUrj7dx3E6ERpks2hyI1gvxmhftnWV9bZmmLY/G179ozTq7e8Osr69XvQgLO7h/z8QHeQ+N06ixmbbO3U6n47JzM+99EKNRJos2B6L1QrzmInqnra8t26Tl0fj6F605b69e7l6RdrtNu13N+4GWRY0+qNEHNUoE0eZAtF6I16xe36L1QrzmvL06kl6RwWBQ9SKUTo0+qNEHNUoE0eZAtF6I16xe36L1QrzmvL3aSK+ImU2/UsOp0Qc1+qBGiSDaHIjWC/Ga1etbtF6I15y3Vy93FxEREREREakJHUmvSEqp6kUo3byNx06eqc3ZR2elcfRBjT5EaJTJos2BaL0Qr7nM3jqud2l8/YvWnLdXG+kVabX8v4hhnsZjJ89w+Pgq5/vDiXzqbJ/Dx1cBKn/CmETj6IMafYjQKJNFmwPReiFec1m9dV3v0vj6F605b2+sn1KN9Pt9958POE/jkRNrG08UI+f7iSMn1kpYsuJoHH1Qow8RGmWyaHMgWi/Eay6rt67rXRpf/6I15+3VRnpFOp0OnY7vFzLM03j67PaTd9zldaFx9EGNPkRolMmizYFovRCvuazeuq53aXz9i9actzfOT6hmer1e1YtQunka9+1uc2qbJ4Z9u+v9OYoaRx/U6EOERpks2hyI1gvxmsvqret6l8bXv2jNeXt1JL0i3W6Xbrdb9WKUap7GQwf2stK+8CMKVtrGoQN7S1iy4mgcfVCjDxEaZbJocyBaL8RrLqu3rutdGl//ojXn7a3kSLqZ/RTwA0AC3g08M6V0WxXLUpUIe5GmNW49q+hj73cn3vbp20o5y2hZZzDVOPpQx8ai52wdG4sWodGrotYLos2BaL1QTHMdz2o+TlljPOot8+cw78/52MkzvPqDn+Xz5/p0bFDrcSmKfof9y9u79I10M7sX8OPAg1NKt5rZq4DvAV6y7GWp0miPiucTJ0xq3O6som/66Dme84hLCn9ALvMMptHH0Yu6NZYxZ+vWWIYIjR4VuV4QbQ5E64XFm+t6VvNxyhzjg/v3lNY87895dP0r7nFn7rUC7/nUF2s9LkXR77B/eXurek96B9hlZj3gTsCnJ1251WrR6XRot9sMBgPMhi/PSSnRarXo9/t0Oh16vR7dbnfq3/1+n1artfG5dWbGYDCg3W7PfBvr6+sLLU+73WZ9fZ2VlRU3TdvdRkqJbrd7h9u4/uYBu1Y6XHHxLm665VYuz/6+/uYB33L/dqFNb/nUOpfeZSedltEy4/z6gD0rHV734Vu55kH7Fvq5pJQ25maTx2nSbQwGA7rd7tjGJjZt/XtrY9VNr/7gZ7niHnfms188zyV32sGZ8+usdFoc+8TtPO4Bd/x9mmV5Rve9Y8eOxo7TrHNv586dtWiSucy8XjBpnSDPHKj6932R2xj3+NzkpmnjNDJaf6rTOkEZ627TnoPrOk5v+vjnuftFu+i2W5y7fZ2L77SDz33ptgvW8zZ/7/U3D9i9s8uelQ6rZ2/nirvt4dZen2OfuJ3HP3BHLZrK/H2a5TGraU3jlmd0Hzt37nTTNO02Ro9Z81j6e9JTSp8Cfgv4BPAZ4AsppTdsvZ6ZPdvMbjCzG1ZXV5e9mKWLcGbDTqdDt7v9ezDWbtt+b9K4yxdxy7ntb3N1zOXziDKOalyuz4+Zm+Pm8iy63W6tGssw6TFH6muW9YJZ1wkizPPN6vbYtQyLNpe5TlCGpo7xLecG214+bf3v7ndZ4Z4X7dx0O/Ucl6I0dXwXEa057/OSLXtvv5ldDPwl8N3AGvDnwF+klF427nuuvPLKdPTo0eUs4JK028OzZ3p+qcekxmdee9O2ZxW9dHebP3nq5YUuR5n3FX0cvahbYxlztm6NZahb41VXXXVjSunqqpej7uZdL5i0TlC3OVC2aL2wePMy1z+K0NQxnvfnPLr+3jsNd7SunetNvL4XTR3fRURr3tw7z3pBFWd3/xbgZErpVEqpB/wV8I0VLEelul3/Zzac1LjMs4qWeV/Rx9GLujWWMWfr1liGCI1OFbZeEG0OROuFxZvrelbzcZo6xvP+nEfXv/ziXVx+8a6p1/eiqeO7iGjNeXureK3BJ4BHmNmdgFuBxwI3VLAcler1/J/ZcFLjMs4quoz7ij6OXtStsYw5W7fGMkRodKqw9YJocyBaLyzevMz1jyI0dYzn/TmPLn/th86xeq7PpTUfl6I0dXwXEa05b+/SN9JTSm81s78A3g6sA+8A/mjZy1G10R4Vzy/1mNZY5llFl3VfGkcf6thY9JytY2PRIjR6VOR6QbQ5EK0Ximle5vrHopo8xvP+nA/u38M1D9oHwG23xfhk5iaPb17RmvP2VvKu/ZTS84HnV3HfdRFhYqrRBzX6oEaps6LWC6LNgWi9EK9Zvb5F64V4zXl745xar2Y2f4yIV2r0QY0+qFEiiDYHovVCvGb1+hatF+I15+3VRnpFInyGrhp9UKMPapQIos2BaL0Qr1m9vkXrhXjNeXtj7coQERERERERqTEdSa+ImU2/0hTHTp6p9dlJi2isOzX6oEYfIjTKZNHmQLReiNesXt+q6q1yG0JjPBttpFdkMBgs9P3HTp7h8PFVzveHL6E4dbbP4eOrALXZUF+0sQnU6IMafYjQKJNFmwPReiFes3p9q6K36m0IjfFs9HL3irTbbdrtdu7vP3JibeOXa+R8P3HkxNqCS1acRRubQI0+qNGHCI0yWbQ5EK0X4jWr17cqeqvehtAYz0ZH0iuS94PtR06f3f50/uMur8KijU2gRh/U6EOERpks2hyI1gvxmtXrWxW9VW9DaIxno430iuT9YPuRfbvbnNrml2nf7vrsmVq0sQnU6IMafYjQKJNFmwPReiFes3p9q6K36m0IjfFs9HL3ivR6vYX2JB06sJeV9oUnIlhpG4cO7F1wyYqzaGMTqNEHNfoQoVEmizYHovVCvGb1+lZFb9XbEBrj2ehIekVm3asy7uyLoxM71Pns7hH2lKnRhyIa6/5pCxpHiWCeOVD339lZRJzz0ZrV6+N3dZwqxrfqbQjN6dloI70is+xRmXb2xc0b63UUYS+ZGn1YtLHqM6XOQuMoEcw6B5rwOzuLiHM+WnP0Xi+/q+NUNb5VbkNEn9Oz0svdK9Ltdjf2rIxT9dkXFzVLY9Op0YdFG5vwu6pxlAhmnQNN+J2dRcQ5H605eq+X39Vxoo0vxGvO26sj6RWZZa9K1WdfXFSEPWVq9EGftuBDhEaZbNY50ITf2VlEnPPRmqP3evldHSfa+EK8Zh1Jb5hZ9qqMO8tinc7gPkmEPWVq9GHRxib8rmocJYJZ50ATfmdnEXHOR2uO3uvld3WcaOML8Zrz9mojvSKznOmv6rMvLirC2RvV6IM+bcGHCI0y2axzoAm/s7OIOOejNUfv9fK7Ok608YV4zTq7e8PMcqa/qs++uKgIZ29Uow+LNjbhd1XjKBHMOgea8Ds7i4hzPlpz9F4vv6vjRBtfiNess7s3zPr6+kzXq/sZ3CeZtbHJ1OhDEY11/13VOEoE88yBuv/OziLinI/WrF4fv6vjRBtfiNect1cvd69Iu92m3fbxfppx1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26sj6RUZDAZVL0Lp1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26uN9IqY2fQrNZwafVCjD2qUCKLNgWi9EK9Zvb5F64V4zXl79XJ3ERERERERkZrQkfSKpJSqXoTSqdEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RVptfy/iEGNPqjRBzVKBNHmQLReiNesXt+i9UK85ry92kivSITPBlSjD2r0QY0SQbQ5EK0X4jWr17dovRCvOW9vrF0ZNdLpdOh0fO8jUaMPavRBjRJBtDkQrRfiNavXt2i9EK85b2+cn1DN9Hq9qhehdGr0QY0+qFEiiDYHovVCvGb1+hatF+I15+3VRnpFut0u4PslH2r0QY0+qFEiiDYHovVCvGb1+hatF+I15+3VRnpFxu1VOXbyDEdOrHH6bJ99u9scOrCXg/v3LHnpihFhT5kafVCjDxEaZbJocyBaL8RrLqK3SeuWGl//ojXrSHrDbLdX5djJMxw+vsr5/vBU/afO9jl8fBWgtg+mk0TYU6ZGH9ToQ4RGmSzaHIjWC/GaF+1t2rqlxte/aM06kt4w2+1VOXJibeNBdOR8P3HkxFotH0inibCnTI0+qNGHCI0yWbQ5EK0X4jUv2tu0dUuNr3/RmnUkvWG226ty+uz2e1jGXV53EfaUqdEHNfoQoVEmizYHovVCvOZFe5u2bqnx9S9as46kN8x2e1X27W5zapsHzX2728tYpMJF2FOmRh/U6EOERpks2hyI1gvxmhftbdq6pcbXv2jNeXv1OekV6Xa7G3tWRg4d2MtK2y64bKVtHDqwd4lLVpztGr1Row9q9CFCo0wWbQ5E64V4zYv2Nm3dUuPrX7TmvL06kl6R9fX1O1w2em9QU87AOc12jd6o0Qc1+hChUSaLNgei9UK85kV7m7ZuqfH1L1pz3l5tpFek3R6+zGjrwB3cv6e2D5zzGtfoiRp9UKMPERplsmhzIFovxGsuordJ65YaX/+iNeft1UZ6RQaDQdWLUDo1+qBGH9QoEUSbA9F6IV6zen2L1gvxmvP2aiO9ImY2/UoNp0Yf1OiDGiWCaHMgWi/Ea1avb9F6IV5z3l6dOE5ERERERESkJnQkvSIppaoXoXRq9EGNPqhRIog2B6L1Qrxm9foWrRfiNeft1UZ6RVot/y9iUKMPavRBjRJBtDkQrRfiNavXt2i9EK85b6820ivS7/erXoTSqdEHNfqgRokg2hyI1gvxmtXrW7ReiNectzfWrowa6XQ6dDq+95Go0Qc1+qBGiSDaHIjWC/Ga1etbtF6I15y3N85PqGZ6vV7Vi1A6NfqgRh/UKBFEmwPReiFes3p9i9YL8Zrz9mojvSLdbhfw/ZIPNfqgRh/UKBFEmwPReiFes3p9i9YL8Zrz9mojvSIR9iKp0Qc1+qBGiSDaHIjWC/Ga1etbtF6I16wj6Q0TYS+SGn1Qow9qlAiizYFovRCvWb2+ReuFeM06kt4wEfYiqdEHNfqgRokg2hyI1gvxmtXrW7ReiNesI+kNE2Evkhp9UKMPapQIos2BaL0Qr1m9vkXrhXjNOpLeMBH2IqnRBzX6oEaJINociNYL8ZrV61u0XojXrCPpDRNhL5IafVCjD2qUCKLNgWi9EK9Zvb5F64V4zTqS3jAR9iKp0Qc1+qBGiSDaHIjWC/Ga1etbtF6I15y3t1XwckxlZg80sxOb/nzRzH5y2ctRtW63u7FnxSs1+qBGH9QodVXkekG0ORCtF+I1q9e3aL0Qrzlv79KPpKeUPggcADCzNvAp4NplL0fVIrzEQ40+qNEHNUpdFbleEG0OROuFeM3q9S1aL8Rrzttb9cvdHwt8JKX08UlXarVadDod2u02g8EAMwMgpUSr1aLf79PpdOj1enS73al/9/t9Wq0WKSUAzIzBYEC73Z75NtbX1xdanl27drG+vk6r1XLTtPU2VlZWLhhDD01bb6PdbtPpdBgMBm6att6GmdHtdsc2NrFp699bGz00bf273W5jZhu346Fp6zjt2LGDlFJtmiSXqesFk9YJdu7cSb/fn2sONPn3fdzjc5Obpo1Tt9vdmAdemiaN07Tn4CY2Tfq7qPXjOjVNWp55HrOa0jRteXbt2kWv16PdbrtpmnQbo3WTVmu+F7Av/eXuW3wP8IrtvmBmzzazG8zshtXV1SUvVvlSSu5X4iI0gv+V8QjjGKUxgiidjm27XjDrOkG08Y/w2LVVtOaIvZFEG1+I15y316r6IZnZDuDTwJUppc9Ouu6VV16Zjh49upwFW5IdO3YAcPvtt1e8JOVRow9q9EGNy3fVVVfdmFK6uurlaIpZ1wsmrRPUbQ6ULVovxGtWr2/ReiFe8+beedYLqny5+zXA26dtoHs1egmFZ2r0QY0+qFEaYOH1gmhzIFovxGtWr2/ReiFec97eKjfSn86Yl7pHMBgMql6E0qnRBzX6oEZpgIXXC6LNgWi9EK9Zvb5F64V4zXl7K3lPupntBv4t8FdV3H8dtNtt2u121YtRKjX6oEYf1Ch1VtR6QbQ5EK0X4jWr17dovRCvOW9vJUfSU0pngbtWcd910evl+2D7JlGjD2r0QY1SZ0WtF0SbA9F6IV6zen2L1gvxmvP2Vv0RbGGNPkLE82cFqtEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RWJsBdJjT6o0Qc1SgTR5kC0XojXrF7fovVCvGYdSW+YCHuR1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvWkfSGibAXSY0+qNEHNUoE0eZAtF6I16xe36L1QrxmHUlvmAh7kdTogxp9UKNEEG0OROuFeM3q9S1aL8Rr1pH0homwF0mNPqjRBzVKBNHmQLReiNesXt+i9UK8Zh1Jb5gIe5HU6IMafVCjRBBtDkTrhXjN6vUtWi/Ea9aR9IaJsBdJjT6o0Qc1SgTR5kC0XojXrF7fovVCvGYdSW+YCHuR1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvWkfSGWV9fr3oRcjt28gxHTqxx+myffbvbHDqwl4P799zhek1unJUafVCjDxEaZbJocyBaL8RrVm91Zl3fXUSdepclWnPeXm2kV6TdbgPNm6jHTp7h8PFVzvcTAKfO9jl8fBXgDg9cTW2chxp9UKMPERplsmhzIFovxGtWbzXmWd9dRF16lylac97eVhkLI9MNBgMGg0HVizG3IyfWNh6wRs73E0dOrN3huk1tnIcafVCjDxEaZbJocyBaL8RrVm815lnfXURdepcpWnPeXh1Jr4iZVb0IuZw+u/37Kba7vKmN81CjD2r0IUKjTBZtDkTrhXjN6q3GPOu7i6hL7zJFa87bqyPpMpd9u9tzXS4iIiIi0iRa35WqaSO9IiklUkrTr1gzhw7sZaV94R6hlbZx6MDeO1y3qY3zUKMPavQhQqNMFm0OROuFeM3qrcY867uLqEvvMkVrzturl7tXpNVq5v6R0ckyZjnbZVMb56FGH9ToQ4RGmSzaHIjWC/Ga1VuNedZ3F1GX3mWK1py3VxvpFan7ZwNO+tiJg/v3zPQgVffGIqjRBzX6EKFRJos2B6L1Qrxm9VZn1vXdRZTdu4yPkZtXncZ4GfL2aiO9Ip3O8Edfx48fKOpjJ+rcWBQ1+qBGHyI0ymTR5kC0XojXrF7fyuxd1sfIzUtjPOP3lbEwMl2v16t6Ecaa9LET8/xS17mxKGr0QY0+RGiUyaLNgWi9EK9Zvb6V2VvU+nzRNMaz0UZ6RbrdLlDPl3wU9bETdW4sihp9UKMPERplsmhzIFovxGtWr29l9i7rY+TmpTGejTbSK1LnvUj7drc5tc0v8LwfO1HnxqKo0Qc1+hChUSaLNgei9UK8ZvX6VmZvUevzRdMYzybW6fVqpNvtbuxZqZuiPnaizo1FUaMPavQhQqNMFm0OROuFeM3q9a3M3mV9jNy8NMaz0ZH0itR5L1JRHztR58aiqNEHNfoQoVEmizYHovVCvGb1+lZm77I+Rm5eGuPZaCO9InV/P0YRHztR98YiqNEHNfoQoVEmizYHovVCvGb1+lZ27zI+Rm5eGuPZaCO9IhH2IqnRBzX6oEaJINociNYL8ZrV61u0XojXrCPpDRNhL5IafVCjD2qUCKLNgWi9EK9Zvb5F64V4zTqS3jDzfqB9E6nRBzX6oEaJINociNYL8ZrV61u0XojXnLdXZ3evSLvdpt2u9iMQyqZGH9TogxolgmhzIFovxGtWr2/ReiFec95eHUmvyGAwqHoRSqdGH9TogxolgmhzIFovxGtWr2/ReiFec95ebaRXxMymX6nh1OiDGn1Qo0QQbQ5E64V4zer1LVovxGvO26uXu4uIiIiIiIjUhI6kVySlVPUilE6NPqjRBzVKBNHmQLReiNesXt+i9UK85ry92kivSKvl/0UMavRBjT6oUSKINgei9UK8ZvX6Fq0X4jXn7dVGekUifDagGn1Qow9qlAiizYFovRCvWb2+ReuFeM15e7WRXpFOZ/ij9/xZgZsbj508w5ETa5w+22ff7jaHDuzl4P49FS/h4qKNo1dq9CFCo0wWbQ5E64V4zer1LVovNKO5yO2WvL3aSK9Ir9erehFKN2o8dvIMh4+vcr4/fE/GqbN9Dh9fBWj8hnqkcfRMjT5EaJTJos2BaL0Qr1m9vkXrhfo3F73dkrc31psCaqTb7dLtdqtejFKNGo+cWNuY6CPn+4kjJ9aqWbACRRpHz9ToQ4RGmSzaHIjWC/Ga1etbtF6of3PR2y15e3UkvSJ134tUhFHj6bPbvxdj3OVNEmkcPVOjDxEaZbJocyBaL8RrVq9v0Xqh/s1Fb7fk7dVGekVGe1Q8nzxh1Lhvd5tT20zsfbvby16kwkUaRzU2mxolgmhzIFovxGtWr2/ReqH+zUVvt+Tt1cvdK9Lr9Wq/J2lRo8ZDB/ay0rYLvrbSNg4d2FvNghUo0jh6pkYfIjTKZNHmQLReiNesXt+i9UL9m4vebsnbqyPpFan7XqQijBpHJ1nweHb3SOOoxmZTo0QQbQ5E64V4zer1LVov1L+56O2WvL3aSK9InfcgFWVz48H9e1xslG8VbRy9UqMPERplsmhzIFovxGtWr2/ReqEZzUVut+g96Q1T971IRVCjD2r0QY0SQbQ5EK0X4jWr17dovRCvWUfSG6YJe5EWpUYf1OiDGiWCaHMgWi/Ea1avb9F6IV6zjqQ3TIS9SGr0QY0+qFEiiDYHovVCvGb1+hatF+I160h6w0SYmGr0QY0+qFEiiDYHovVCvGb1+hatF+I15+3VRnrJjp08s+3ZAVst/59+p0Yf1OiDGiWCaHMgWi/Ea1Zv/Yxbt8+jCb1Fi9act1cb6SU6dvIMh4+vcr6fADh1ts/h46sAPP6BO6pctKVIKVW9CKVTow9q9CFCo0wWbQ5E64V4zeqtl0nr9nk21OveW4ZozXl7Y+3KWLIjJ9Y2folHzvcTR06sVbNAIiIiIiKSi9btZVl0JL1Ep89u/x6E02f7mNmSl2b51OiDGn1Qo0QQbQ5E64V4zeqtl0nr9nnUvbcM0Zrz9mojvUT7drc5tc0v7b7dbQaDQQVLtFxq9EGNPqhRIog2B6L1Qrxm9dbLpHX7POreW4ZozXl7K3m5u5ntNbO/MLMPmNn7zewbqliOsh06sJeV9oV7T1baxqEDe2m327Tb+X6hm0KNPqjRBzVKnRW1XhBtDkTrhXjN6q2XSev2edS9twzRmvP2VnUk/XeBv00pPc3MdgB3qmg5SjU6gcR2Z4DM+8H2TaJGH9Togxql5gpZL4g2B6L1Qrxm9dbLpHX7POreW4ZozXl7l76RbmYXAY8Gvg8gpXQ7cPuyl2NZDu7fs+0vbt4Ptm8SNfqgRh/UKHVV5HpBtDkQrRfiNau3fsat2+fRhN6iRWvO21vFkfT9wCngT8zsa4AbgZ9IKZ0d9w2tVotOp0O7PXwv9+gN+CklWq0W/X6fTqdDr9ej2+1O/bvf79NqtTZOiW9mDAYD2u32zLexvr6+0PK0223W19dZWVlx07TdbaSU6Ha7rpo230ZKaWNuemnaehuDwYButzu2sYlNW//e2uihaevfo+/bsWOHm6Zx47Rz585aNMnM5lovmLROkGcONPn3fdzjc5Obpo3TyGj9yUPTpHGa9hzcxKZJfxe1flynplmWZ5bHrKY1jVue0X3s3LnTTdO02xg9Zs2jivekd4CHAv8jpfS1wFnguVuvZGbPNrMbzOyG1dXVZS9j6TqdDp2O7/P2dTodut1u1YtRqijjqMbm63a77hsjPOY4NXW9YNZ1ggjzfLMIj11bRWtWr2/ReiFec97nJVv23n4zuwdwPKV03+z/jwKem1L61nHfc+WVV6ajR48uaQmXY3QCAc8v9VCjD2r0QY3Ld9VVV92YUrq66uWou3nXCyatE9RtDpQtWi/Ea1avb9F6IV7z5t551guWfiQ9pXQz8Ekze2B20WOB9y17OarW7XbdH/FRow9q9EGNUldFrhdEmwPReiFes3p9i9YL8Zrz9lb1WoMfA16encH1o8AzK1qOyvR6/s9sqEYf1OiDGqXmClkviDYHovVCvGb1+hatF+I15+2tZCM9pXQCCP0SwNEeFc8v9VCjD2r0QY1SZ0WtF0SbA9F6IV6zen2L1gvxmvP2xnnXfs1E2IukRh/U6IMaJYJocyBaL8RrVq9v0XohXnOjjqRLjL1IavRBjT6oUSKINgei9UK8ZvX6Fq0X4jXrSHrDrK+vV70IpVOjD2r0QY0SQbQ5EK0X4jWr17dovRCvOW9vFZ+TLgxPxz86Jb9XavRBjT6oUSKINgei9UK8ZvX6Fq0X4jXn7dWR9IoMBoOqF6F0avRBjT6oUSKINgei9UK8ZvX6Fq0X4jXn7dVGekXMrOpFKJ0afVCjD2qUCKLNgWi9EK9Zvb5F64V4zXl79XJ3ERERERERkZrQkfSKpJSqXoTSqdEHNfqgRokg2hyI1gvxmtXrW7ReiNect1cb6RVptfy/iEGNPqjRBzVKBNHmQLReiNesXt+i9UK85ry92kivSITPBlSjD2r0QY0SQbQ5EK0X4jWr17dovRCvOW9vrF0ZNdLpdOh0fO8jUaMPavRBjRJBtDkQrRfiNavXt2i9EK85b6814X0BZnYK+HjVy1GCfcDpqheiZGr0QY0+qHG5viKldGnVC+HNDOsEdZoDyxCtF+I1q9e3aL0Qr3nUO/N6QSM20r0ysxtSSldXvRxlUqMPavRBjRJBtDkQrRfiNavXt2i9EK85T69e7i4iIiIiIiJSE9pIFxEREREREakJbaRX64+qXoAlUKMPavRBjRJBtDkQrRfiNavXt2i9EK957l69J11ERERERESkJnQkXURERERERKQmtJFeAjN7sZl9zszes+myF5jZp8zsRPbniWO+9wlm9kEz+7CZPXd5Sz2fMY1HN/V9zMxOjPnej5nZu7Pr3bC0hZ6Dmd3bzI6Z2fvM7L1m9hPZ5ZeY2RvN7EPZ3xeP+f5nZNf5kJk9Y7lLP5sJjb9pZh8ws3eZ2bVmtnfM9zd5HN38Pk5o9PT7uNPMrjezd2aNv5xdvt/M3pqNz1Ez2zHm+38+u84Hzezxy116KcuEuf+r2ePXCTN7g5ldVvWyFmVc86av/7SZJTPbV9UyFmnRx/CmmTS+ZvZj2XPze83sN6pcziIt+hzWNBN6D5jZ8dFzsZk9vOplLcKE3q8xs3/J1j/+j5ndpeplLcqi6ywbUkr6U/Af4NHAQ4H3bLrsBcDPTPm+NvAR4H7ADuCdwIOr7pm1ccvX/zvwS2O+9jFgX9UNU/ruCTw0+/edgX8FHgz8BvDc7PLnAr++zfdeAnw0+/vi7N8XV900R+PjgE52+a9v1+hgHN38Po5r3HKdpv8+GrAn+3cXeCvwCOBVwPdkl/9P4Ee2+d4HZ2O3AuzPxrRddZP+FDIvxv1+32XTdX4c+J9VL2vZzdn/7w38HcPPkK/173QBYzz1MbyJfyb0HgT+HljJvna3qpe17OYt1xn7HNa0PxPG+A3ANdnlTwT+seplLbn3bcA3ZZc/C/jVqpe1wObc6yyb/+hIeglSStcBqzm+9eHAh1NKH00p3Q68EnhyoQtXkEmNZmbAdwGvWOpCFSil9JmU0tuzf38JeD9wL4bj8dLsai8FnrLNtz8eeGNKaTWldAvwRuAJpS/0nMY1ppTekFJaz652HLi8qmVc1IRxnEUjfh+nNTr5fUwppTPZf7vZnwR8M/AX2eXjfh+fDLwypXQ+pXQS+DDDsZWGm/AY9sVNV9vNcK64MOX3/XeAnyVOrzsTen8EeGFK6Xz2tc9Vt5TFivActtmE3gSMjiZfBHy6miUs1oTeBwDXZVd7I/Cd1Sxh8RZcZ9mgjfTlek72ErwX2/Yvk74X8MlN/7+JZj4ZPQr4bErpQ2O+noA3mNmNZvbsJS5XLmZ2X+BrGe4Ju3tK6TPZl24G7r7NtzRuHLc0bvYs4G/GfFuTxxEc/j6OGUcXv49m1s5e7vg5hk/oHwHWNu1QGjc+jRtHmd/WuW9mv2ZmnwS+F/ilChetNJubzezJwKdSSu+sdqnKk+MxvNG29D4AeFT2Utk3m9nXVbpwJcn5HNZYW3p/EvjN7HHrt4Cfr27JyrGl9718+cDHv2P4SiA3Flhn2aCN9OX5H8BXAgeAzzB86Y5XT2fyHs9HppQeClwD/KiZPXo5izU/M9sD/CXwk1uOzpCGr1dp/BGLcY1m9jxgHXj5mG9t8ji6+32cMFdd/D6mlPoppQMMX9nxcOCrql0iqYvt5n5K6XkppXszfPx6TpXLV4bNzQwfp/8zTndGQIzH8M226e0wfAvdI4D/BLwqO8LsxgLPYY20Te+PAD+VPW79FPCiKpevaNv0Pgv4f83sRoYvg7+9yuUrWhHrLNpIX5KU0mezARsA/5vtX275KS7ck3R5dlljmFkH+A7g6LjrpJQ+lf39OeBaavrSUzPrMnxAeXlK6a+yiz9rZvfMvn5PhnvItmrMOI5pxMy+D3gS8L3Zzog7aPI4evt9nDCObn4fR1JKa8Ax4BuAvVkjjB+fxoyjzG/c3N/k5Th6GSVs2/yVDM+38E4z+xjDOf52M7tHdUtZnAUewxtpzJy+Cfir7GW01wMDwMXJAWGx57AmGtP7DGD07z/H+ZxOKX0gpfS4lNLDGO6E+UiVy1iWHOssG7SRviSjDbvMU4H3bHO1twFXZGf/2wF8D/CaZSxfgb4F+EBK6abtvmhmu83szqN/MzxJ2XY/i0ple6hfBLw/pfTbm770GoYPpGR/v3qbb/874HFmdnH2ErzHZZfVyrhGM3sCw/c1fntK6dyY7230OHr6fZwwV8HP7+Olln3KgJntAv4tw/e1HQOell1t3O/ja4DvMbMVM9sPXAFcX/pCS+km/H5fselqTwY+sOxlK8t2zSmld6eU7pZSum9K6b4MN+gemlK6ucJFLcSCj+GNM+Hx/K8ZnjwOM3sAw5OZnl76ApZgkeewJprQ+2ngm7J/fzPg4uX9E36H75b93QJ+geGJ1FxYcJ3ly1INzoLn7Q/DPUKfAXoMnyy/H/hT4N3AuxiuNN4zu+5lwOs3fe8TGZ758CPA86pumacxu/wlwA9vue5GI8MzZb8z+/PeujYCj2T4UvZ3ASeyP08E7gq8ieGD598Dl2TXvxr4403f/yyGJ6j6MPDMqnvmbPwww/fwji77nw7H0c3v47jG7Gtefh+/GnhH1vgesrP8Zst/fTZn/5wvn/n424Ff2fT9z8vG8INkZ8/Vn+b/mfD7/ZfZPHkX8H8Ynkyu8uUts3nLdT6Gn7O7z/UY3vQ/E3p3AC/L5vXbgW+uelnLbs6+dofnsKb/mTDGjwRuzJ6P3wo8rOplLbn3JxiuX/0r8ELAql7WApvnWmcZ98eybxIRERERERGRiunl7iIiIiIiIiI1oY10ERERERERkZrQRrqIiIiIiIhITWgjXURERERERKQmtJEuIiIiIiIiUhPaSBdZgJnd1cxOZH9uNrNPbfr/jhLv92Nmtm+O63fN7IVm9iEze7uZ/YuZXVPW8hXFzA6Y2ROrXg4REfHBzJKZvWzT/ztmdsrMXjvn7fyjmV2d/fv1o89FXobN9z3j9V9iZk/b5vLHLNI9LzO7r5kt/Jn22TrQX276/9PM7CVTvufbzey5i963yLJ0ql4AkSZLKX0eOABgZi8AzqSUfqvKZRrjV4F7Ag9JKZ03s7sD31TxMs3iAMPPoH99xcshIiI+nAUeYma7Ukq3Av8W+NQiN5hS0s7k5XuYmT04pfS+Wa6cUnoN8JqSl0mkMDqSLlIwM/tBM3ubmb3TzP7SzO6UXf5qMzuU/fuHzOzlk66/5TbvamZvMLP3mtkfA7bpa//ezK7Pjt7/LzNrb/neOwE/CPxYSuk8QErpsymlV2Vf/x9mdkN227+86fteaGbvM7N3mdlvZZd9m5m91czeYWZ/n23sY2YvMLOXmtk/mdnHzew7zOw3zOzdZva3ZtbNrvcwM3uzmd1oZn9nZvfMLv9HM/v1rONfzexR2SsRfgX47qztu83sEjP762yZjpvZVxc0bCIiEsfrgW/N/v104BWjL5jZbjN7cfZ89A4ze3J2+S4ze6WZvd/MrgV2bfqejVe3Zc9RN2bPqc/edJ0zZvZr2XP98U3Pn9s+r2425b63fQ4fx8yeYGYfMLO3A9+x6fKH2/BVdu8ws/9rZg+c4b4fl33P283sz81szzb397Cs+Z3Aj266fKeZ/Um2nvAOMzuYXX7lpnWad5nZFWNS/jvwvG3ub9v1BDP7PjM7bGYXZesprezy3Wb2SRu+4vBA9j3vMrNrzezi7Do/vml96JXTfsYiRdBGukjx/iql9HUppa8B3g98f3b5s4FfMrNHAT8N/NiU62/2fOAtKaUrgWuB+wCY2YOA7wb+TUrpANAHvnfL994f+ERK6Ytjlvd5KaWrga8GvsnMvtrM7go8FbgypfTVwH/JrvsW4BEppa8FXgn87Kbb+Urgm4FvB14GHEspXQXcCnxrtqH++8DTUkoPA14M/Nqm7++klB4O/CTw/JTS7cAvAUdTSgdSSkeBXwbekS3TfwaOjGkSEREZ55XA95jZTobPfW/d9LXnAf+QPR8dBH7TzHYDPwKcSyk9iOFz8sPG3Pazsue4q4Efz55PAXYDx7Pn+usY7jyHyc+rI5Pu+w7P4eOis97/DXxbdhv32PTlDwCPypbjl4D/Oum+s50SvwB8S0rpocANwH/c5m7/hOFBgq/ZcvmPAilbT3g68NJs+X4Y+N1sneZq4KYxOa8CHmpm999y+cT1hJTSF4ATfPnVhE8C/i6l1Muu+3PZ97476wV4LvC12eU/PGZ5RAqll7uLFO8hZvZfgL3AHuDvYHj02sx+CTgGPDWltDrp+ls8mmyPd0rpdWZ2S3b5Yxk+Yb7NzGC4h/tzcy7vd2V7+zsMXxL/YOB9wG3Ai2z4frXRe9YuB45mR8B3ACc33c7fpJR6ZvZuoA38bXb5u4H7Ag8EHgK8MVvWNvCZTd//V9nfN2bX384jge8ESCn9gw1fYXCXCTsgRERELpBSepeZ3ZfhxuHWt1M9Dvh2M/uZ7P87Ge4YfzTwe5u+/11jbv7Hzeyp2b/vDVwBfB64nS8/l97I8GX2MPl5dWTSfW/3HD5u2b4KOJlS+hCADd+bPzrafxHDDeUrgAR0p9z3I7L7+ufsOX0H8C+b78yG79Pfm1K6LrvoT4HR+XAeyXDHPSmlD5jZx4EHZLfxPDO7nOFBjA+NaekDvwn8PPA3my7fdj1hy/ceZXiA4xjwPcAfmtlF2bK+ObvOS4E/z/79LuDlZvbXwF+PWR6RQulIukjxXgI8J9s7/MsMn+BHrmL4ZH3ZjNefxoCXZkeaD6SUHphSesGW63wYuM82T1KY2X7gZ4DHZnuIXwfsTCmtAw8H/oLhXubRBvfvA4ezZf2hLcs6ein9AOillFJ2+YDhyoMB7920rFellB639fsZPvFqB6KIiJTpNcBvseml7hkDvnPTc9V9Ukrvn+UGzewxwLcA35AdOX4HX36e3Py8uPl5btLz6rT72/Y5fNbv3+JXGb4C7iEMj7RPux0D3rjp5/TglNJ2rwScS0rpzxi+Iu9W4PVm9s0Trv6nDHci3HvOu3kN8AQzu4ThgY5/mHL9bwX+AHgow4MiWkeR0mkjXaR4dwY+k728e+Ol52b2cIZ7kL8W+JnsyXXs9be4Dvh/stu5Brg4u/xNwNPM7G7Z1y4xs6/Y/I0ppXPAi4DfteyM82Z2qZn9O+AuDE+i84XsfXDXZF/fA1yUUno98FPA6GVqF/HlE+w8Y66fCnwQuNTMviG7j66ZXTnle77E8Ocz8k9kP6NsZei0jqKLiEgOLwZ+OaX07i2X/x3wY5YdHjazr80u3/w8/BCGLy/f6iLglpTSOTP7KoZHm6eZ5Xl13H1v+xw+wQeA+5rZV2b/f/qY5fi+Ge77OPBvRi83z97b/YDNd5ZSWgPWzOyR2UWb13E2P58/gOGrFT5oZvcDPppS+j3g1Wz/cx7dfg/4HYbrKdvd7mPYZj0hpXQGeBvwu8BrU0r97GXwt2RvSQT4D8Cbs/eu3zuldAz4uezndIf33osUTRvpIsX7RYbvb/tnhk+ImNkKw/eBPSul9GmG70l/cbYScIfrb+OXgUeb2XsZvuz9EwDZWU1/AXhD9hK0NzJ8udtWvwCcAt5nw48/eS3wxZTSOxnu6f8A8GfZMsBww/i12W2+hS+/z+wFwJ+b2Y3A6Xl+KNl7zJ8G/LoNTyBzAvjGKd92DHhwdgKZ787u/2HZcr2Q+XcUiIiIkFK6KdsQ3OpXGb7U+13Zc+6vZpf/D2CPmb2f4UlNb9zme/8W6GTXeSHDDdlpXsD059Vt73vCc/i2Ukq3MXx5++tseOK4zW+P+w3gv5nZO7jw1Wzj7vsUw435V2TPyf/C8OX0Wz0T+AMzO8Gmk94Cfwi0srfIHQW+Lzu57XcB78mu/xCmn3vmRVuW9wXMtp5wFPj32d8jz2B4DoJ3Mfx0mV9h+Na8l2XL+Q7g97KdDyKlsi+/8kZEREREREREqqQj6SIiIiIiIiI1oY10ERERERERkZrQRrqIiIiIiIhITWgjXURERERERKQmtJEuIiIiIiIiUhPaSBcRERERERGpCW2ki4iIiIiIiNSENtJFREREREREauL/B5QgB1gYyfSOAAAAAElFTkSuQmCC\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -650,10 +652,25 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", @@ -661,24 +678,20 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 4.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.\n", + " Gradient evaluation took 6.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.64 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 6.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.\n", + " Gradient evaluation took 9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.\n", " Adjust your expectations accordingly!\n", - " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_vek124sv/model_pa7jtmrb.stan', line 15, column 8 to column 67)\n", - " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 6.1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.\n", + " Gradient evaluation took 8.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.85 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 8.4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.84 seconds.\n", + " Gradient evaluation took 9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.9 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_vek124sv/model_pa7jtmrb.stan', line 15, column 8 to column 67)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_7teg5mtu/model_7v3457av.stan', line 15, column 8 to column 67)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] @@ -741,34 +754,57 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: Your Stan program has a parameter sigma with a lower and upper bound in its declaration. These hard constraints are not recommended, for two reasons: (a) Except when there are logical or physical constraints, it is very unusual for you to be sure that a parameter will fall inside a specified range, and (b) The infinite gradient induced by a hard constraint can cause difficulties for Stan's sampling algorithm. As a consequence, we recommend soft constraints rather than hard constraints; for example, instead of constraining an elasticity parameter to fall between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5) prior distribution.\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: Your Stan program has a parameter sigma with a lower and upper bound\n", + " in its declaration. These hard constraints are not recommended, for two\n", + " reasons: (a) Except when there are logical or physical constraints, it is\n", + " very unusual for you to be sure that a parameter will fall inside a\n", + " specified range, and (b) The infinite gradient induced by a hard\n", + " constraint can cause difficulties for Stan's sampling algorithm. As a\n", + " consequence, we recommend soft constraints rather than hard constraints;\n", + " for example, instead of constraining an elasticity parameter to fall\n", + " between 0, and 1, leave it unconstrained and give it a normal(0.5,0.5)\n", + " prior distribution.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 29% (2300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 54% (4300/8000)\n", - "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 79% (6300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 60% (4800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 5.7e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.\n", - " Adjust your expectations accordingly!\n", " Gradient evaluation took 3.4e-05 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_qfk_1nlw/model_y5ac3ihc.stan', line 15, column 8 to column 73)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_cvk2rysd/model_noctw4kx.stan', line 15, column 8 to column 73)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 3.9e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.\n", + " Gradient evaluation took 3.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 5e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.\n", - " Adjust your expectations accordingly!\n" + " Gradient evaluation took 4.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_cvk2rysd/model_noctw4kx.stan', line 15, column 8 to column 73)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_cvk2rysd/model_noctw4kx.stan', line 15, column 8 to column 73)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] } ], @@ -823,12 +859,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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YLPt9sLjNYlJrnVz1meGy/58NBIHTxaFdc8DHgbMqHUwp9ZbiUK354ns3UWhthkLP8YkGPreew2oe0lr3aK17tdYXaa2/VdxXsMJ+rNbx6ykE1f+hCtnaX1ll/9X4CvC7SqmdwLOAPPBvRcftSql/KQ4VXAC+UOYoCIIgCPUizwHV+TvgtUqp7au2nw3cW+bzSwo95NuL+y35a63jFP7OVjmfqJT6mlJqrHgvv4n67uVfotDIAYXRdlYvOkqpS5VSDymlZorluqzOfQtC25EgXRDO5AcUWrcPV3nPKIWbkcW+4jYLXeEz5duGi8foLQa+PVrrjVrr81d/qDh/7HoKQ7c2a617gHkKwa+1r4MNfG49h1qYotBKvno/pwC01mNa67/QWu+i0MP+UVWWnbWMSn+vx18sJKf7JvBSCjfff9FaW5+5qfj5C7TWG4E/43FHQRAEQagXeQ6ogtb6V8A9FIbLlzMMXFrm06O1jmitTwGnKUx7s8oWBbaWffb/Ar8Czi3ey99OfffyLwMXK6X2AC+iGKQX59h/BfhHYHvxb3B/nfsWhLYjQbogrEJrPU+hlfhWpdRhpVRMFRKUXaqUen/xbXcA71BKbVNK9Rbf/4U6jnGaQtD5T0qpjcVkKweVUs+u8PYNFIaaTwIBpdTfUZhXZfEp4D1KqXNVgScrpbbW8LmmHIoeOQrD3v5eKbVBKXU2hblxXwBQSr24eMOEwhA7TaEXfDXjFOa0V+NLFOa7X0FZCzkFzyVgXim1G3hrPQ6CIAiCUI48B9TEDRTmd/eUbfsYheeBswGK+z1UfO1u4AVKqd9ThYRw72ZloLwBWACWlFK/Abx21fGqPidorScpLC/3GWBAa/3L4kshIEzhb5BVSl1KYe6/IDgaCdIFoQJa63+iEGy+g8KFfRh4PYV5TADvBR4Gfgr8DPhxcVs9HKFw8/gFhQD2bgrzt1bzDeD/Ab+mMBQtycohcx+kECh/k0IA/GkKmdfX+1wrHKCQKGYZ6KcwJ+xLFLK/A/xP4IdKqSXgqxTmgPVX2Mengd8sDpE7usZxvgqcS2Ge4E/Ktt8A/A6F3oH7KLTuC4IgCELDyHNAdbTWA8Dnga6yzbdQuFd/Uym1SCF/zdOL7/85heeFf6HQq75EIaFbqvjZt1AYKbcIfBJYnRzu3cDnis8JL1mjWF+ikC+n1JCvC0vFvZHC32e2eIyv1uIoCJ1EPT5iVBAEt6OUuhd4pZa1ywVBEATBONzyHKCU6qaQjPbcYsAvCEIZ0pMuCB6gOAwvTOGG9z86XBxBEARBENqIG54DlFIvKE4d6KIwR/xnFFZyEQRhFRKkC4I32EJh2NgzKAxbEwRBEATBHNzwHHCIQmK6UQrT116mZUivIFREhrsLgiAIgiAIgiAIgkOQnnRBEARBEARBEARBcAgSpAuCgFLqzUqpO2p438+VUhfbXyJBEARBEDqBPBMIQueRIF0QXIBSSiullpVSS2X/rm/RvvcDrwCuWe+9WuvztdYP1rDPs5VS9yqlJpVSE0qpv2m+pIIgCIIgyDOBIHgfmZMuCC5AKaUpLFNy3IZ9Pxc4pbX+7yrvCWits3Xs8yLgN4AvA7uB/wD+l9b6P5otryAIgiCYjDwTCIL3kZ50QXA5SqmnKaUeVkotKKXGlVIfLG7fX2xtv0YpNaqUOq2UekvZ5z6rlHqv1vobWuv/VkpdrJQaKXv9pFLqr5VSPwWWlVKB4rY/LDvuD5RSc8V9f0QpFQLQWj+ktf6s1npZa/1rYBzY3tY/jCAIgiAYhjwTCII3kCBdENzPLcAtWuuNwEHgrlWvX0JhqZP/Bfy1dUOtkSuB5wM9FVrNc8D/BnqB3wX+APjL1TtQSv0VEAaO1XFcQRAEQRDqR54JBMEDSJAuCO7hx8UWauvfc4vbM8ATlFK9WuslrfVDqz53Q7H1+mfAZyjcZGvln7XWw1rrxOoXtNY/KraOZ7XWJ4GPA88uf49S6qXAW4Hnaa2X6jiuIAiCIAhrI88EguBhJEgXBPfwO1rrnrJ/3yhufxXwROBXSqn/VEr98arPDZf9fxDYVccxh9d6QSn1RKXU15RSY0qpBeAmCi3o5bwJuF5r/as6jikIgiAIQnXkmUAQPIwE6YLgcrTWj2mtrwTOAv4BuFsp1VX2lr1l/98HjBb/vwzEyl7bUWn3VQ79f4FfUUhesxF4O6BWvWdn2fEEQRAEQbAReSYQBG8gQboguByl1J8ppbZprfPAXHFzvuwt71RKxZRS5wNXA3cWtz8CXKaU2qKU2gFcV+ehNwALwJJS6jeA11Z4z9OA79W5X0EQBEEQGkCeCQTBG0iQLgju4Ser1kS9ubj9ecDPlVJLFBLGvGzVfLHvAseBbwP/qLX+ZnH754GfACeBb/L4jbpW3gL8KbAIfHKNzz8I/F6d+xUEQRAEoTryTCAIHkbWSRcEj6KU2g8MAMF61jMVBEEQBMFbyDOBILgL6UkXBEEQBEEQBEEQBIcgQbogCIIgCIIgCIIgOAQZ7i4IgiAIgiAIgiAIDkF60gVBEARBEARBEATBIUiQLgiCIAiCIAiCIAgOIdDpAtTC5s2b9a5duzpdjJbi8xXaR/L5/DrvdC/i6A3E0RuIY/v5xS9+MaW13tbpcniNas8ETqsDdmOaL5jnLL7exjRfMM+53Lee5wJXBOm7du3izjvrXa7R2fj9fgByuVyHS2If4ugNxNEbiGP7ueCCCwY7XQYvUu2ZwGl1wG5M8wXznMXX25jmC+Y5l/vW81zgiiDdiwSDQcDbFVQcvYE4egNxFEzAtDpgmi+Y5yy+3sY0XzDPuVFfCdI7RDab7XQRbEccvYE4egNxFEzAtDpgmi+Y5yy+3sY0XzDPuVFfSRzXIfx+f2n4g1cRR28gjt5AHAUTMK0OmOYL5jmLr7cxzRfMc27UV3rSO4QJyRLE0RuIozcQR8EETKsDpvmCec7i621M8wXznBv1lSC9QyilOl0E2xFHbyCO3kAcBRMwrQ6Y5gvmOYuvtzHNF8xzbtRXhrsLgiAIgiAIgiAIgkOQnvQOobXudBFsRxy9gTh6A3EUTMC0OmCaL5jnLL7exjRfMM+5UV8J0juEtbC9lxFHbyCO3kAcBRMwrQ6Y5gvmOYuvtzHNF8xzbtRXgvQOYcLagOLoDcTRG4ijYAKm1QHTfME8Z/H1Nqb5gnnOjfqa1ZThIAKBAIGAt9tIxNEbiKM3EEfBBEyrA6b5gnnO4uttTPMF85wb9TXnL+QwMplMp4tgO+LoDcTRG4ijYAKm1QHTfME8Z/H1Nqb5gnnOjfpKkN4hgsEg4O0hH+LoDcTRG4ijYAKm1QHTfME8Z/H1Nqb5gnnOjfpKkN4hTGhFEkdvII7eQBwFEzCtDpjmC+Y5i6+3Mc0XzHOWnnSXYUIrkjh6A3H0BuIomIBpdcA0XzDPWXy9jWm+YJ6z9KS7DBNakcTRG4ijNxBHwQRMqwOm+YJ5zuLrbUzzBfOcpSfdZZjQiiSO3kAcvYE4CiZgWh0wzRfMcxZfb2OaL5jnLD3pLsOEViRx9Abi6A3EUTAB0+qAab5gnrP4ehvTfME8Z+lJdxkmtCKJozcQR3s5NrDE7Y/MMbWco7fLz5ELe7jkQHfLjyPnUTAB0+pAK3zbdQ1qFXKOvY34eh/TnKUn3WVks9lOF8F2xNEbiKN9HBtY4iMPzZDKaQAml3N85KEZgJY/JMt5FEzAtDrQrG87r0GtQs6xtxFf72Oac6O+vhaXQ6gRv9+P3+/vdDFsRRy9gTjax+2PzJUeji1SOc3tj8y1/FhyHgUTMK0ONOvbzmtQq5Bz7G3E1/uY5tyor/Skd4h8Pt/pItiOOHoDcbSPqeXKQ5/W2t4Mch4FEzCtDjTr285rUKuQc+xtxNf7mObcqK/0pHcIpRRKqU4Xw1bE0RuIo330dlVuWV1rezPIeRRMwLQ60KxvO69BrULOsbcRX+9jmnOjvhKkC4IgdIgjF/YQ9q+8cIf9iiMX9nSmQIIgGIVcgwRBEJyJDHfvEFrr9d/kcsTRG4ijfViJmdqRWVnOo2ACptWBZn3beQ1qFXKOvY34eh/TnBv1lSC9Q/h83h/EII7eQBzt5ZID3W15IJbzKJiAaXWgFb7tuga1CjnH3kZ8vY9pzo36SpDeIUxYG1AcvYE4egNxFEzAtDpgmi+Y5yy+3sY0XzDPuVFfs5oyHEQgECAQ8HYbiTh6A3H0BuIomIBpdcA0XzDPWXy9jWm+YJ5zo77m/IUcRiaT6XQRbEccvYE4egNxFEzAtDpgmi+Y5yy+3sY0XzDPuVFfCdI7RDAYBLw95EMcvYE4egNxFEzAtDpgmi+Y5yy+3sY0XzDPuVFfCdI7hAmtSOLoDcTRG4ijYAKm1QHTfME8Z/H1Nqb5gnnO0pPuMkxoRRJHbyCO3kAcBRMwrQ6Y5gvmOYuvtzHNF8xzlp50l2FCK5I4egNx9AbiKJiAaXXANF8wz1l8vY1pvmCes/SkuwwTWpHE0RuIozcQR8EETKsDpvmCec7i621M8wXznKUn3WWY0Iokjt5AHL2BOAomYFodMM0XzHMWX29jmi+Y5yw96S7DhFYkcfQG4ugNxFEwAdPqgGm+YJ6z+Hob03zBPGfpSXcZJrQiiaM3EEdvII6CCZhWB0zzBfOcxdfbmOYL5jlLT7rLMKEVSRy9gTh6A3EUTMC0OmCaL5jnLL7exjRfMM9ZetJdhgkVUxy9gTh6A3EUTKDeOqC1ZmZmhi1btqCUsqlU9mFinTfNWXy9jWm+YJ5zo74SpHcIn8/X6SLYjjh6A3H0BuIomEAjdWBiYgKfz8fmzZttKJG9mFjnTXMWX29jmi+Y59yorwTpHUJr3eki2I44egNx9AbiKJhAI3Ugl8sxNjbGhg0bCATc9VhkYp03zVl8vY1pvmCec6O+ZjVlCIIgCIIgrCKfzzM+Pt7pYgiCIAgCIEF6x1BKuXL+Wz2IozcQR28gjoIJNFoHIpEIMzMzxONxG0plHybWedOcxdfbmOYL5jk36itBeofI5/Pk8/lOF8NWxNEbiKM3EEfBBBqtA0opgsEgo6OjrqpDJtZ505zF19uY5gvmOTfqK0F6h/D7/fj9/k4Xw1bE0RuIozcQR8EEmqkDoVCIZDLJ7Oxsi0tlHybWedOcxdfbmOYL5jk36uuuDCkeotGF7d2EOHoDcfQG4ih0GqXUbcAfAxNa698qbnsPcAjIAxPAn2utRxs9RrN1IBwOMz4+zsaNG0tr2zoZE+u8ac52+h4bWOL2R+aYWs7R2+XnyIU9XHKg27bj1YKcX+9jmnOjvtKT3iGCwaArHgCaQRy9gTh6A3EUHMBngeet2vYBrfWTtdYXAl8D/q6ZAzRbB/x+P1prxsbGmilG2zCxzpvmbJfvsYElPvLQDJPLOTQwuZzjIw/NcGxgqeXHqgc5v97HNOdGfW3rSW9Hi7mbMaEVSRy9gTh6A3EUOo3W+ntKqf2rti2U/doFrLtWjc/nIxAI4Pf7yefzpYQ8WmuUUuTzeSKRCJlMhmAwWPVnIBAgFovR3d1dmjPY1dXF0tISWmsCgcC6+wgGg2Sz2Yrl8fl85HI5AoGALfvI5/MEg0H8fv+K7blcDp/PV1r6x/q7+P3+mv4unXRa66flZBEOhz3jVO08rXWOmy3Pf4zliYYDnLs5yvhCii2xEEupLN8dzvDcJ4Vsdar20+/3k81mS+fXLeep2fLUcs1ym9Na5bGOEYlEPOO03j6sa1Y92NmT/llsbjGvl2MDS1x97wgv+MIgV9870tHWQhNakcTRG4ijNxBHwakopf5eKTUMvJw1nguUUtcopR5WSj08MzOz5r6CwWDTa51bSeQmJibI5XJN7ctuAoGA69Z2bxbTnO3ynUtWrtuz8c7WeTm/3sc050bvS8rOBeWLLeZfs3rSV732N8A+rfVr19vP+eefr++8886mymIN60nlHvcN+xWvv2hLR+bfWAkEnP4A0Azi6A3E0RuIY/u54IILfqS1fmqny+EkanguiGit31VtH9WeCeqtA1prfv7znxOLxc54LZlMEgwG2b9/v2Mbf5xW59uBac52+V597wiTy2fuc1uXn8+8aE9Lj1UPcn69j2nO5b71PBe0vRlDKfX3wBFgHrikls9UG9pW6/CD/xjLsyEa5OCGCLPxNLFQgEwuz7cHUzzvN7a2fThEd3c32WyWbDbr2SEekUgEKDzoeMVp9T6s1sClpSXPOK3eh8/nIxgMrunoRqfVP1c7esFp9c9AIIBSilQq5Rmn1ecpHA6jtSabzTrCSaibLwL3A1WD9GpYwXQrHv4ikQjJZJKTJ086NlBvpa9bMM3ZLt8jF/ZU7Lw6cmFPS49TL3J+vY9pzo36tj1xnNb6b7XWeyncjF+/1vtqHdpWK2sP6+nMOn1WgO5lrAdlL2PKeRRH95PJZDzvaMI1x2sopc4t+/UQ8Ktm9pfJZFpaB6w5kwMDA6TT6Zbtt1W02tcNmOZsl+8lB7p5/UVb2NblR1HoQe/U6NJy5Px6H9OcG/Xt5HD3fcD9lV5bTSuGuzttWE95L7NXEUdvII7eQBzbjwx3X4lS6g7gYqAXGKfQY34Z8CQKCWUHgWu11qeq7afaM0G9daDacPdyUqkUPp+PAwcOEAqFatp3O3BanW8HpjmLr7cxzRfMcy73dexwd6XUuVrrx4q/Nt1iXg9OG9ZjQguSOHoDcfQG4ih0Gq31lRU2f7qVx7CrDoTDYVKpFAMDA+zfv7/uLL12YWKdN81ZfL2Nab5gnnOjvnYuwVZqMVdKjVBsMVdKrWgxt+v4q7GG79z+yBxTyzl6u/wcubCnY8N6TJiPIY7eQBy9gTgKJmBnHSgP1A8cOOCIQN3EOm+as/h6G9N8wTznRn1tC9Lb0WJeL5cc6O74XBsLr88NBXH0CuLoDcRRMAG760A4HCadTpd61K1hjJ3CxDpvmrP4ehvTfME850Z9zVmkzmFY6fi9XFHF0RuIozcQR8EE2lEHQqHQikA9Go3adqz1sNP32MCSY0YflmPa91x8vY1pvmCec6O+EqR3iHy+M1nl24k4egNx9AbiKJhAu+pAeaB+4MCBjgXqdvkeG1hakcdncjnHRx4qrLTT6UDdtO+5+Hob03zBPOdGfdu+BJtQQClVWk/Xq4ijNxBHbyCOggm0sw6EQiH8fj8DAwPE4/G2HHM1dvne/sjcikS7AKmc5vZH5lp+rHox7Xsuvt7GNF8wz7lRXwnSBUEQBEEQGiAYDJYC9eXl5U4Xp2VMVViyttp2QRAEobXIcPcOYef69E5BHL1Bux07MQ9SzqM3MMFRqE4n6oCVuffkyZPs37+frq6uth3bLt/eLj+TFQLy3i6/LcerB9O+5+LrbUzzBfOcG/WVIL1D+HzeH8Qgjt6gnY6dmgcp59EbmOAoVKdTdSAYDKKUYmBggLPPPpsNGza05bh2+R65sGfFtRgg7FccubDHluPVQyucnZoUrxKmXdfE1/uY5tyorwTpHcKEtQHF0Ru007HaPEg7H6DkPHoDExyF6nSyDgQChUeqwcFB9u3bx8aNG20/pl2+1vXWiYFss85OTopXCdOua+LrfUxzbtRXgvQOYd3Mvbz8gDh6g3Y6dmoepJxHb9Cso3UjtZZLEdxHp+u5dfyhoaG2BOp2+l5yoNuRQWuzzp1qDG6UTtfpdiO+3sc050Z9JUjvEJlMptNFsB1x9AbtdOzUPEg5j96gGcd4PM7w8DC9vb1s3bq1haUS2okT6nkgEEApVepR37Rpk23HcoJvu2nW2W1J8Uw7x+LrfUxzbtTXrEkBDiIYDJaSzXgVcfQG7XQ8cmEPYf/KZSraMQ9SzqM3aMRRa83U1BT9/f0kEgmbSia0C6fUc7/fTyQSYWhoiLm5OduO4xTfdtKs81qNvk5IilcJ086x+Hof05wb9ZWe9A5hQiuSaY5uSkRTD+08j52aB2laXfUq9TpmMhlGR0dZWFggGo2STCZtKpnQLpxUz61AfXh4GK01mzdvbvkxnOTbLpp1dnJSvEqYdo7F1/uY5tyorwTpHcJqUfFy8gSTHL91fN5ViWjqod3nsRPzIE2qq+JYYHl5maGhIfL5PLFYDKXUup8RnI/T6rnf7ycajTIyMkI+n2/5VAqn+dZDow3bzTo7OSleJdx8jhtBfL2Pac6N+kqQ3iFMaEUyydFtiWjqwaTz6GXEsUA+n2dqaorx8XFCoRDhcLgNJRPahRPruc/nIxqNMjo6itaa3t7elu3bib610EyG9VY4OzUpXiXceo4bRXy9j2nO0pPuMkxoRTLJ0W2JaOrBpPMoju5mPcd0Os3IyAjxeJxoNGrcWq0m4NR6bgXqp0+fBmhZoO5U3/VopmHbrc6NIr7exjRfMM9ZetJdhgmtSCY5dioreTsw6Tx6GdMdFxYWGBkZQSlFLBZrY6mEduLkel4eqOfzebZt29b0NAsn+1ajmYZttzo3ivh6G9N8wTxnye7uMkzIbGiSY6eykrcDk86jlzHVMZ/Pc/r0aQYHBwkEAjK83eM4vZ5bgfr4+DgTExNordf/UBWc7rsWzWRYd6tzo4ivtzHNF8xzluzuLqPeBe3diEmObktEU856yXtMOo9exkTHVCrF8PAwyWRSksMZghvquc/nIxaLlYL07du3N1w33eBbiWYyrNfj7IVVV9x6jhtFfL2Pac6N+kqQ3iH8/kJrsZcrqmmObkpEY1FL8h7TzqNXMckxk8kwPz/PqVOnSgGRYAZuqefWtIvJyUm01uzYsaOhQN0tvqtppmG7VudmktM5Cbee40YRX+9jmnOjvhKkd4h8Pt/pItiOODqfWpL3uN2xFsTRG+TzeXK5HKdOnWJ2dpZIJFK6OQpm4KZ6bgXqU1NTaK3ZuXNn3YG6m3xX02jDdq3OXll1xc3nuBHE1/uY5tyorwTpHcKEYZfi6HxqSd7jdsdaEEdvkE6nGR0dZX5+Xoa3G4rbzrkVqE9PT6O1ZteuXXU5uM23FdTq7JVVV0w7x+LrfUxzbtRXEscJgsE0k7xHEJyC1prp6WkGBwfRWhONRo17CBDcixWoz8zMcOrUKeN6mexC7m+CILgZCdI7hNa66ayuTkccnU8tWend7lgL4uhestksQ0NDjI6OEgqFCARkgJjJuLWeW4H63NxcXYG6W32boVZnr6y6Yto5Fl/vY5pzo77yNNMhfD7vt4+Io/OpJXmP2x1rwQ5Hp2UV9uJ5XF5eZnh4mFwuRywWM2pJF6Eybq7nSimi0Shzc3NordmzZ8+6Pm72bZRand286ko5pp1j8fU+pjk36itBeofI5dw1J6oRxNEdrJe8xwuO69FqRydmFfbSedRaMzk5yfj4OKFQiGg0ChSyugtm4/Z6bvWoLywsMDw8zN69e6s+4LndtxHqcXbjqiurMe0ci6/3Mc25UV+zmjIcRCAQ8PywTHH0BuJYP9WyCncKr5zHdDrNyZMnGR8fJxqNrug9D4fDhMPhDpZO6DReqOdWoL64uMjQ0FDVBzwv+NaLac7i621M8wXznBv1Necv5DBM6PERR28gjvXjxKzCXjiPCwsLjIyMoJSiq6vrjNcTiUQHSiU4CS/Uc4tYLMbS0hJDQ0Ps27ev4nKCXvKtFdOcxdfbmOYL5jk36itBeoewen+8PORDHL2BONZPb5efyQoBeSezCrv5PObzecbHx5mamiIcDq/ZIm0Ne0+n0+0snuAg3FzPKxGLxYjH4wwODnL22WefEah7zbcWTHMWX29jmi+Y59yorwTpHcKEViRx9AbiWD9HLuxZMScdOp9V2K3nMZVKMTIyQiKRWHft83g83saSCU7ErfW8GtFolGQyyeDgIPv27VvRSOVF3/UwzVl8vY1pvmCes/SkuwwTWpHE0RuIY/04MauwG8/j/Pw8p06dKs3RXQ/rPfPz83YXTXAobqzntRCJREgkEpw8eZL9+/eXAnWv+lbDNGfx9Tam+YJ5ztKT7jJMaEUSR28gjo3htKzCbjqP+XyesbExpqeniUQiFefiVkJ60gU31fN6sXrUBwYG2L9/P8Fg0NO+a2Gas/h6G9N8wTxn6Ul3GSa0IomjNxBHb+AWx2QyyfDwMKlUat3h7auRnnTBLfW8USKRSClQP3DgAJFIBPCubyW8fo5XI77exjRfMM9ZetJdhgmtSOLoDcTRG7jBcW5ujlOnTuHz+Woa3r4a6UkX3FDPmyUSiZBKpRgYGODgwYOEQqFOF6mtmHCOyxFfb2OaL5jnLD3pLsOEViRx9Abi6A2c7JjL5RgbG2NmZqau4e2rkZ50wcn1vJWEw2FSqRRTU1Ps2rWr08VpK6acYwvx9Tam+YJ5ztKT7jJMaEUSR28gjt7AqY7JZJKhoSHS6XTdw9sr7UswG6fWczsIh8MsLy9z/Phxdu3aRTgc7nSR2oJJ5xjE1+uY5gvmOUtPusswoRVJHL2BOHoDpzlqrZmbm2N0dBS/39/Q8PbVWEFKKpVqel+CO3FaPbebjRs3kk6nS3PUTQjUTTvH4uttTPMF85wb9fXZURhhfXK5nOcrpzh6A3H0Bk5yzOVyjIyMMDIyQigUatmc2nQ6TTqdbsm+BHdSbz1/3/vexz//8z/bWCJ7Ka/v/f39RowmcdK1rB2Ir7cxzRfMc27UV4L0DuHz+fD5vP3nF0dvII7ewCmOiUSC48ePs7CwQCwWa3j+eSUCgUBp/WjBTOqt51/60pf4wQ9+wKFDh1yZeNCq86FQCKUUAwMDJBKJThfLVpxyLWsX4uttTPMF85wb9TXnL+QwtNZorTtdDFsRR28gjt6g045aa6anpzlx4gRaa6LRaFPzzyuRz+fJ5/Mt3afgLuqt5z/60Y9K/7/yyit57LHH7CiWbZTXeVMC9U5fy9qN+Hob03zBPOdGfSVIFwRBEGwlm80yMjLC6OgokUjEuCWjBOcSDAa54447eMYzngHAW97yFu6+++4Ol6pxQqEQfr+fgYEBV44MEARBEApIkN4hlFIt70VyGuLoDcTRG3TKMR6Pc+LECRYXF4nFYrYOcTNtCJ1wJo3W87e+9a1cf/31AHz+85/nda97nSt6eirV+WAwWArUl5eXO1Qy+zDhel2O+Hob03zBPOdGfeVppkOYMCxTHL2BOHqDdjtqrZmamqK/vx+ASCRi+005m82SzWZtPYbgbJqp57//+7/PJz/5SQBGRkY4fPgwp0+fbmXxWs5adT4YDBIIBDh58iRLS0sdKJl9mHC9Lkd8vY1pvmCec6O+EqR3CL/f39KESU5EHL2BOHqDdjpms1mGhoY4ffo0kUiktPyI3bQyU7zgTpqt52eddRb33HNP6fdrr72Wu+66qxVFs4VqdT4YDBIMBjl58iSLi4ttLpl9mHC9Lkd8vY1pvmCec6O+EqR3iEwm0/Di9m5BHL2BOHqDdjkuLy9z/PhxlpaWbB/evppUKiVrpBtOK+q53++nr6+v9PsXv/hFDh061GzRbGG9Om9lfh8cHGRhYaGNJbMPE67X5YivtzHNF8xzbtRXgvQOYbVwexlx9Abi6A3sdtRaMzk5SX9/P0opW7K3r0ckEiESibT1mELtKKVuU0pNKKX+u2zbB5RSv1JK/VQpda9SqqeZY7Synvf19XHZZZeVfj906JDj1vatpc5bgfrQ0JAnAnUTrtfliK+3Mc0XzHNu1FeC9A5hQiuSOHoDcfQGdjpmMhkGBwcZGxsjGo127OYbj8clo7Wz+SzwvFXbHgB+S2v9ZODXwN80c4BW1/PXvOY1fOhDHyr9fvnll3Py5MmW7b9Zaq3zgUCAcDjM4OAg8/PzbSiZfZhwvS5HfL2Nab5gnrP0pLsME1qRxNEbiKM3sMtxaWmJ48ePE4/H6erq6mh29VgsRiwW69jxheporb8HzKza9k2ttZX57CFgTzPHsKOen3POOSvmqb/pTW8qJZjrNPXUeb/fTyQSYWhoiLm5OXsLZiMmXK/LEV9vY5ovmOfcqG/AhrIINWBCC5I4egNx9AatdrSGt4+PjxMKhRxxw5VedNfzSuDO9d7k8/kIBAL4/X7y+XxpWoXWGqUU+XyeSCRCJpMhGAxW/RkIBIjFYnR3d5ey7/p8PrLZLKFQiFQqRSQSIR6P8+CDD3LxxRcD8LWvfY2vfe1rfP3rXycajZJKpQgGg+RyuVJ58vk8gUCAdDpd2kcsFlvzZzKZJBQKkc1mS41dWmv8fj+ZTIZwOEwikSAajZY+k8lkSqNXrH2Ew2HS6TSBQKCiUzweZ2lpCZ/Px1lnnbXm3yebzVb8G/t8PnK5HIFAYN2/cSv2Yf3M5XIrGgHD4TD5fL7096llH051spb7s+pvuVM+ny8tq+cVp2o//X4/2Wy2dH694FRLeWq5ZrnNaa3yWMeIRCKecVpvH9Y1qx6kJ71DmNCKJI7eQBy9QSsd0+k0J0+eZHx8vKPD21cjPenuRSn1t0AW+OIar1+jlHpYKfXwzMxMpbcAjy89Zhf3338/V111Ven3Sy+9tKONfNFotO48DH6/n3A4zOnTp1059D0QCNh6jp2G+Hob03zBPOdG70vKam1wMueff76+8851G9ddhZWK32lJaFqJOHoDcfQGrXJcXFxkZGQErbXjkrRZjQWNBk3xeJydO3eydevWlpTnggsu+JHW+qkt2ZlHUErtB76mtf6tsm1/DrwG+AOt9brDIao9E9Rbz7XW/PznP6+7cWd0dJTXvva1pd/f9773cd5559W1j1bQTJ3P5/MkEgl27NjBtm3bWl002zDhel2O+Hob03zBPOdy33qeC6QnvUNIz503EEdvII7rk8/nGR8f5+TJk6W5rU5DetLdh1LqecD1wAtrCdDXo13f5V27dnH06NHS729729v4x3/8R9uPu5pm6rzP5yMajTI2NsbExARu6LQBM67X5YivtzHNF8xzbtRXgvQOYUJmQ3H0BuLoDZpxtIa3T05OEovFHDtMLZFIkEgkOl0MYQ2UUncAPwCepJQaUUq9CvgIsAF4QCn1iFLqY80co53fZaUUfX19pXmG//Zv/9b29dSbrfNWoD4+Pu6aQN2E63U54uttTPMF85wb9bUtSG/HeqhuxoRWJHH0BuLoDRp1XFhY4Pjx46RSKWKxWNvXPq+HaDRKNBrtdDGENdBaX6m13qm1Dmqt92itP621foLWeq/W+sLiv2ubOUYnvst33XUX11xzTen3Q4cOkUwm23LsVtR5n89HLBZjYmKCiYmJFpXMPky4Xpcjvt7GNF8wz9mJPemfxeb1UN1MNpslm82u/0YXI47eQBy9Qb2O+Xye06dPMzg4WFpj2emkUilSqVSniyF0kE59l5///Odz2223lX5/6Utfyo9+9CPbj9uqOq+UKgXq09PTLSiZfZhwvS5HfL2Nab5gnnOjvrYF6e1YD9XN+P3+UiIBryKO3kAcvUE9jqlUioGBAaanpx09vH01prXOC2fSye/y1q1b6evrK/1+44038rd/+7e2HrOVdV4pRTQaZXR01NFZ3024Xpcjvt7GNF8wz7lR304+edW0HipUXxPV7evoNbsOpBOdrH1YFTIYDHrGafU+fD5faU1Przit3ofWuvQZrzit/rna0QtOq38qpWpySqVSDA8P09XVRSgUIhaLldZm7tRa0JX2UWkt6HA4TC6XY+PGjSvWt660j0pO1vzceq9Za50nof1YdaGT9PX18drXvpbR0VH++7//m0OHDq0I3ltJq7Mj+3w+IpEIw8PDBAIBurq6Wrr/VuCEc9xOxNfbmOYL5jk36tuRxHHrrYdafE9Na6K6FaWUo+d2tgJx9Abi6A3Wc9RaMzY2xtjYGMFgkFAo1MbStQYTzqNQHafUgf/7f/8vb37zm0u/Hzp0iMXFxZYfxw5fv99PKBRicHDQkYkYnXKO24X4ehvTfME850Z9bV0nvRXroYI310m3HoDT6XSHS2If4ugNxNEbVHNMJpMMDw+TSqWIRqOuvXlavX7Ly8sNfV7WSXcH1Z4J6v0uN7pOeq0sLi7yZ3/2Z6Xf3/zmN/PsZz+7Zftvts5XI51Oo7Xm4MGDjmq0M+F6XY74ehvTfME853Jfx66T3ur1UN2M1trzwyHF0RuIozdYy3Fubo4TJ06QzWYdn719PfL5vHHD6ISVOO27vGHDhhVD3T/4wQ/yl3/5ly3bv5113nqwPHnypKOWS3LaObYb8fU2pvmCec6N+tq5BJvt66G6GWs+s5cRR28gjt5gtWMul+PUqVMMDw8TCoVckb19PQKBgGuS3An24NTvcl9fH7/1W4VBhadOnWrZeup21/lwOEw2m+XkyZOOycbs1HNsF+LrbUzzBfOcG/W17cqutb6ywuZP23U8t9HqZC9ORBy9gTh6g3LHZDLJ0NAQ6XTa9b3n5ZgydE5YGyd/l//+7/+ehx9+mPe85z1AYZ76bbfd1tT0inbU+UgkQjKZ5OTJk+zfv7/jDWFOPsd2IL7exjRfMM+5UV9zmjEchgk9PuLoDcTRG1grZMzOznLixAny+bynAnQoBBORSKTTxRA6iNO/y0996lP5l3/5l9Lvr3zlK7nvvvsa3l+76nwkEiGdTjuiR93p57jViK+3Mc0XzHNu1FeC9A6RyWQcNcfLDsTRG4ijN7B6z0dGRgiFQo5KBNUq4vE48bjR6U6Mxw3f5Wg0umKe+ic+8Qle+tKXNrSvdtb5SCRCKpXqeKDuhnPcSsTX25jmC+Y5N+orQXqHCAaDBIPBThfDVsTRG4ij+0kkEkxMTJDL5YjFYvj9/k4XyRZisZhtWboFd+Cm73JfXx/PeMYzgEIj2qFDh+pOLtTuOh+NRkmlUgwODnYsUHfTOW4F4uttTPMF85wb9ZUgvUOY0Iokjt5AHN2L1prp6WlOnDjB0tISuVzOU8PbVyM96YLbvstvfetbed/73lf6/fDhw5w+fbrmz3eizkejUZLJZMcCdbed42YRX29jmi+Y5yw96S7DhFYkcfQG4uhOstksIyMjjI6OEolE2LRpk+d7maUnXXDjd/m8887j7rvvLv1+7bXXrpi3Xo1O1XmrR31oaKjtgbobz3EziK+3Mc0XzHOWnnSXYUIrkjh6A3F0H/F4nBMnTrC4uEgsFsPn8xnRy2yCo1Adt36Xg8Hginnqd9xxR03LtHWyzltZ34eGhtqardkN5/jYwBJX3zvCC74wyNX3jnBsYKnhfbnBt5WIr/cxzVl60l2GCa1I4ugNxNE9aK2Zmpqiv78fKDxEW8PbTehlNsFRqI7bv8t9fX08//nPL/1+6NChqgFwp+u8FagPDg62LVB3+jk+NrDERx6aYXI5hwYml3N85KGZhgN1p/u2GvH1PqY5S0+6yzChFUkcvYE4uoNsNsvQ0BCnT58mEomccUMwoZfZBEehOl74Ll9zzTXccsstpd8vv/xyBgYGKr7XCXU+EomQSCTaFqg7/Rzf/sgcqdzKBICpnOb2R+Ya2p/TfVuN+Hof05ylJ91lmNCKJI7eQBydz/LyMsePH2dpaak0vH01ne5xawcmOArVcft32WL//v3cc889pd+vu+46PvGJT5zxPqfU+Wg0SiKRaMvQd6ef46nlyv5rbV8Pp/u2GvH1PqY5S0+6y8hmsx1dZ7QdiKM3EEfnorVmcnKS/v5+lFJEo9E1s7cnk0mSyWSbS9heTHAUquPW73Il/H7/innq99133xnz1J1U56PRKPF43PZA3ennuLer8hKXa21fD6f7thrx9T6mOTfqK0F6h/D7/Z5dq9hCHL2BODqTTCbD4OAgY2NjRKPRdVtpQ6EQoVCoTaXrDCY4CtVx43d5Pfr6+vjTP/3T0u+HDh0qDZ10Wp1vR6Du9HN85MIewv6VjaVhv+LIhT0N7c/pvq1GfL2Pac6N+kqQ3iHy+Tz5fL7TxbAVcfQG4ug8lpaWOH78OPF4nK6urorD21djQsu1CY5Cddz2Xa6Vl770pXzsYx8r/X7FFVfwi1/8wpF13u5A3enn+JID3bz+oi1s6/KjgG1dfl5/0RYuOdC95meqZYN3um+rEV/vY5pzo74BG8oi1MBaQ1K9hDh6A3F0Dtbw9vHxcUKhUF1znGoJ5N2OCY5CddzyXW6EnTt3cvToUQ4fPgzA3/zN3/DsZz+bd77znZ0tWAWi0SjLy8sMDQ2xb9++lvaaueEcX3Kgu2pQXo6VDd5KNmdlg7f24wbfViK+3sc050Z95YlGEATBBWQyGU6ePMn4+HhNw9sFQfAeSin6+vpKyeK++93v8od/+IcdLlVlYrEYy8vLDA8PG9VrVi+tzgYvCII3kCC9Q2it0Vqv/0YXI47eQBw7jzW8PZFI1Dy8fTVOd2wFJjgK1TGlDtxxxx285jWvKf1+6NAhEolEB0tUmVgsxtLSEkNDQy0L1L12jtfLBu813/UQX+9jmnOjvhKkdwifz+f5oZni6A3EsXPkcjnGxsYYGBjA7/cTiUQa3pcJiVpMcBSq49Tvsh1cdtllfPnLXy79/rKXvYyHH364gyWqjBWot6pH3WvneL1s8F7zXQ/x9T6mOTfqK3PSO4Td64g6AXH0BnY4HhtY4vZH5phaztHb5efIhT01z9+zAyeex6WlJU6dOkUmkyEWizU9h8vKBu1lTHAUquPE77KdbNy4kW984xs897nPBeA973kP559/PjfddFOHS7aSWCzG4uIiw8PD7N27t6kH9HrOsdPuNZU4cmHPijnpsDIbvGl1Wny9j2nOjfqa04zhMAKBAIGAt9tIxNEbtNrRSpIzuZxD83iSnPJstu3GSecxm81y6tQpBgYGAFoSoAOEw2HC4XDT+3EyJjgK1XHSd7kdWHW+r6+PPXv2APDzn//8jPXUnUB5oN5Mj3qt59iJ95pKrJcN3rQ6Lb7exzTnRn3N+Qs5DBN6fMTRG7TasVqSnE71cDjlPC4sLHDq1Cny+XzLgnMLJ85XbTUmOArVccp3uV2U1/lbb72V733ve/zTP/0TUJin/vnPf56NGzd2qnhnEI1GWVxcZGRkhD179jTUo17rOXbivWYtqmWDN61Oi6/3Mc25UV/pSe8QwWDQ89mZxdEbtNpxvSQ5naDT5zGTyTA8PMzg4CB+v59oNNryJUqi0SjRaLSl+3QaJjgK1en0d7ndrK7zz3rWs/jCF75Q+v0Vr3gFDz74YAdKVhmlFNFolIWFBUZGRhrqUa/1HDvxXtMIptVp8fU+pjk36itBeofIZDKeb0kSR2/Qasf1kuR0gk6dR601c3NzPPbYYywsLBCLxWwbAhaPx4nH47bs2yk065hOp1tYGqETmHBNLqdSnd+wYQN9fX2l3z/0oQ9x7bXXtrtoa9JsoF7rOXbivaYRTKvT4ut9THNu1FeC9A5hQiuSOHqDVjseubCHsH9lL3F5kpxO0InzaPWeDw8PEwwGbek9LycWi5XWVvYqjTrOz8/zxS9+kde97nU8+uijNpRMaBcmXJPLqVbn+/r6ePKTnwzA6dOnHTVP3QrU5+fnS1N8aqXWc+zEe00jmFanxdf7mObcqK/MSe8QJrQgiaOzqTXrbasdrWM4KeNuO8+j1pr5+XlGR0eB1iWGWw+v96JD/Y7j4+McPXqUb33rW6TTaZ761KdK4jmX4+ZrciOsV+ff85738OMf/5gbbrgBKMxT/9SnPsW2bdvaUbyqKKWIxWLMzc2hlGL37t01XQtrPcdOvNc0gml1Wny9j2nOjfpKkN4hrBYVLy9DII7Oxcp6ayXVsbLeAmc8wNjhWC1JTido13nMZDKcPn2a+fl5IpFIW9f0tnrb5ufn23bMdlOr48DAAPfccw/f//738fl8PPvZz+ZFL3oRW7duZefOne0oqmATbr0mN0otdf53fud3uPPOO3npS18KwKtf/Wouv/xyrrrqqraUsRpWoD47O4vP52Pnzp3rBur1nGOn3WsawbQ6Lb7exzTnRn0lSO8QJrQiiaNzqSfrrVsd68Fux071npdjek+61pqf//znfOUrX+HHP/4xkUiEF77whbzgBS+gt7d33c8L7sCE61U5tdbZSCRCX19facj7Pffcwz333LNi7nqnsAL16elp/H4/27dvr/p+086x+Hob03zBPGfpSXcZJrQiiaNzqSfrrVsd68FOx072npdjak96Pp/nhz/8Iffccw+//vWv2bRpE3/2Z3/GpZdeSne3u3vYhDMx4XpVTr3f676+Pv73//7f9Pf3A4Xh70ePHm17o+FqrEB9YmICv99fajirhGnnWHy9jWm+YJ6z9KS7DBNakcTRufR2+ZmsEJBXynrrVsd6sMOxvPdca92R3vNykslkx47dLsodM5kMDz74IPfeey+nTp1ix44dXHvttTznOc+ReeceppHvslKKfD7f0JrdnaaR7/WHPvShFfPUDx8+zM0338yBAwdaXby6sJLJnT59Gr/fz+bNmyu+z4R7Ujni621M8wXznKUn3WWY0Iokjs7lyIU9K+akw9pZb93qWA+tdsxkMoyOjrKwsNDR3vNyrMA0lUp1uCT2EQ6HWV5e5t577+WrX/0qMzMznHPOObzlLW/h937v9xxxHgR7qfe7rJRi27ZtjI+Pd7whrREa/V7/zu/8DnfffTdXXHEFANdddx2XXHIJ1113XauLWBc+n49IJMKpU6fw+/1s3LjxjPeYcE8qR3y9jWm+YJ6z9KS7DBMqplsca81yXgm3OK6mnqy3bnWsh1Y5OmHu+Vp4fQ3wubk5vvSlL/G1r32N5eVlnvzkJ/PGN76RCy+80DHnQLCfRr7L27ZtI5PJMDMzQ1dXlw2lso9mvtfBYHDFPPVjx45x7Nixjs9T9/v9hMNhhoaGOHDgwBnnxIR7Ujni621M8wXznBv1lSC9Q7hxWF29uMGxniznlXCD41rUmvXWzY610grH5eVlxsbGiMfjjuk9LycQ8Obl/vTp0xw9epRvf/vbZLNZnvnMZ/LCF76Qc889t9NFEzpAI99lpRQ7d+4kk8mwvLxMNBq1oWT20IrvdV9fH9dddx0DAwNAYZ76V77ylY5eM/x+P6FQiJMnT3LgwIEVa8GbcE8qR3y9jWm+YJ5zo77efGpzAVrr9d/kctzgWE+W80q4wbFZxLE6iUSC8fFxFhcXCQaDju2Jy+fznS5CSzlx4gRf+cpX+MEPfoDP5+M5z3kOV155JXv27JEs7QbT6HfZ5/Oxd+9e+vv7SaVSrslb0Krv9c0338wPf/hDbrrpJgD+5E/+hOuvv57f//3fb8n+GyEQCKC15uTJk5xzzjlEIhHAjHtSOeLrbUzzBfOcG/WVIF0wmnqynAtCOalUiomJCebm5ggEAo4a2u5VtNb89Kc/5Stf+Qo/+clPiMViHD58mBe84AVs2bJlRW+bINSL3+/n7LPPpr+/n3Q6TSgU6nSR2srTn/507rnnHi6//HIA3v/+9wN0dPh7MBhcEaibdk4EQTAXCdI7hAkP825wrCfLeSXc4Ngs4riSdDrN5OQks7Oz+Hw+1wTnbh5elk6n6evr4wc/+AEnTpxg8+bNHDlyhOc973krRi642VFoDc1+F0OhEPv376e/v59sNuv4aSKtrvN+v3/FPHUoDH/vZKAeCoVIpVKloe9uGeXQKtxwf2kl4ut9THNu1NfZdx8P47Whp5Vwg2M9Wc4r4QbHZhHHAtlslunpaSYnJ0tLBbnpRpPNZjtdhLqZm5vjqquuKv3e3d3N6173Oi6++OKKPWpudBRaSyuuV5FIhH379jE4OEg2myUcDjv2u25Xne/r6+N1r3sdIyMjQCFQ/+IXv0h3d21JVVtNOBwmmUwyODjIueee6/jGk7VoJFGtCffgcsTX+5jm3KivO69yHsBKKuXltQLd4FhPlvNKuMGxWUx3zOVyzMzMMDExARQe4N3YY2sFtW5YL/3kyZO86U1vWrFtw4YNfO5zn6uakM9NjoI9tOp61d3dzcGDB5mcnGR+fh6fz+fIYN3OOn/rrbfyX//1X7z73e8G4OUvfzmHDx/m6quvbvmxaiESiZBMJpmammLnzp0dKUMzNJqo1oR7cDni631Mc27UV4L0DmFCxXSLY61ZzivhFsdmMNUxn88zNzfH+Pg4uVzOtcG5hRvWR//P//xP3vve967Y9qQnPYl/+Id/qCk4coOjYC+tvF5FIhH27t3Ltm3bmJ6eZnZ2FqUUkUjEMcG63XX+t3/7tzl69CiHDx8G4OjRoxw9erRjw98jkQgzMzOk02m2b9/uqmtyo4lqTbgHlyO+3sc050Z9JUjvEI0ubO8mxNEbmOZorXU+NjZWGurqhTmQVmZkJwayfX193HbbbSu2Pf/5z+eaa66paz9OdhTagx3Xq0gkwu7du+nt7S0F61AYgt3pILEddV4p5ah56lu2bCGVSjE0NMS+ffs6fg5qpdFEtSbcg8sRX+9jmnOjvhKkdwgTWpHE0RuY4qi1ZnFxkdOnT5eWYPJStnAnLkt28803c+zYsRXbrr32Wi699NKG9udER6G92Hm9CofD7Nq1qxSsz8zMlLZ3KlBsZ53v6+vjyJEjzM/PA4VA/dOf/jS9vb1tKwM87ry0tOSqQL3RRLUm3IPLEV/vY5qz9KS7DBNakcTRG5jgaCWFO336NKFQyLFrnTeD1eBgPWB3inw+zxvf+EaGh4dXbL/xxht5ylOe0tS+neIoVEYpdRvwx8CE1vq3itteDLwbOA94mtb64WaO0Y7rVSgUYufOnaVgfXp6GuhMsN7uOn/77bfz61//mre+9a0AvOpVr+J3f/d3edvb3taW48PjzplMphSo7927t2q+inZTKUFctUS11RLKmXAPLkd8vY9pztKT7jJMaEUSR2/gZcdkMsnY2BipVIpgMOjJ4Nyi073MyWSSl770pWdsv/XWW9mzZ09LjtFpR2FdPgt8BLi9bNt/A5cDH2/FAdp5vQoGg+zYsYOtW7cyMzPD1NQUWuu25q/oRJ1/4hOfuGL4+w9+8IO2Dn8vd47FYit61J0QqK+VIO71F23h9RdtOSMYB6omlPPyPbgS4ut9THOWnnSXYUIrkjh6A686zs3NcerUKXw+H9u2bUMp5eke2E71Mk9NTfGqV73qjO1f+MIX2LBhQ0uPJT3pzkZr/T2l1P5V234J9a0j6/P5CAQC+P1+8vl86bNaa6LRKLlcjlwuRyaTIRgMrvszl8vh8/nQuhAkKaXI5/P4/f6a9hGJRIhGo+zevZuZmRnm5ubQWuP3+wmHw6TTaSKRCPF4nFgstubPZDJJKBQim82WgnxrP5lMhnA4TCKRIBqNlj4TCASIRCJMTEyU9mEdMxAIlJb+8fl8ZLPZ0prj1cpjHcNqvMzlcqW/cT6fJxAIkE6nefDBB7n44otL5+XQoUPcf//9TTtV+ruUO1mNqcvLy2SzWTZu3Mjs7Czz8/Ns2bKFSCSy5vnKZrMV643P5yOXyxEIBNY95+vt44djeboiQc7tiTAym2DP5igjswn+YyzP25+xmUvP611R997xnQm2b4oCEPT7iKezbI6F+NpjcS49rxefz0cwGGRpaaljTrXso1Xfp+7ubrLZLNls1jNO1cpTzzXLLU7rlae7u9D4lM/nPeNUbR/hcBitdd3BuvMn8XiUTCbj+ZYkcfQGXnPUWjM+Ps7w8DChUKj0kOj1Xth4PN5Wx8cee4xDhw6tCNC7urq4++676evra3mADu13FNqHUuoapdTDSqmHrbnglchkMratHb4efr+frVu3sn//fnp7e8nlciSTSVsbOBOJREeXHLz//vtXTFO57LLL6O/vt/WYyWTyDGercWFkZKTjazDPJSqf77lk5e2z8crlnYkX3m8FrKYgvt7HNOdG70vKam1wMueff76+8847O12MlmJlZPXyer7i6A285JjNZjl16hQLCwvEYrFSK+mmTZsAb/fAtsvx3//933n/+9+/YttTnvIUbrjhBtuXrWrWMR6Ps3PnTrZu3dqS8lxwwQU/0lo/tSU78wjFnvSvWXPSy7Y/CLylljnp1Z4JnHS9yuVyzM3NMTExQS6XIxQKEQi0dgCjU65dp0+f5tprry39vn//fm655RZbjlXNOR6P09XV1dGh71ffO1IxQdy2Lj+fedGZU3vWe7+T6nQ7EF/vY5pzuW89zwUy3L1DeKlnci3E0Rt4xTGZTDI0NEQ2mz1j7nkikehQqdqH3Y533XUXX/ziF1dsu/zyy7nqqqtsPW45JpxHoTpOul5ZPeubN28uBevxeLylwbpT6vzOnTtXzFM/efKkbfPUqzlbw+Q7OUe9WoK4Rt7vpDrdDsTX+5jmLHPSXYZX5/mWI47ewAuOCwsLjIyM4PP5Si2a5USjhfmA6XS63UVrG3Y5vu997+MHP/jBim1vetObeM5zntPS49SCCedRqI4Tr1c+n48tW7bQ09PD/Pw84+PjLQvWnVbn7V5P/dHpFOMZH4lMnrHpOS7aG+VJW8Mr3mPNb29HoF4tK/ta21ez3vudWKftRHy9j2nOkt3dZZgwF0McvYGbHbXWTE1NMTY2RjgcXvOBOJVKtblk7aeVjrlcjte85jVMTk6u2P5//s//4Td/8zdbdpx6MeE8uhml1B3AxUCvUmoEeBcwA3wY2Abcp5R6RGv93EaP4eTrlc/nY/PmzWzatImFhYVSsB4MBksPcfXixDrf19fHP//zP/Ptb38bKATq733ve7ngggua2u+j0ymO9S+zqbvQ47yYynOsfxmgI4H6WlncoRB4rxWUV6La+51cp+1AfL2Pac6N+kqQ3iGsG4aXK6rTHau1gNeK0x1bgVsdc7kco6OjzM3NEY1Gqy6JZD0ge3l+VCsc4/E4V1555RnbP/7xj7Njx46G99sqTDiPbkZrfWblKXBvq47hhuuVz+ejp6dnRbC+vLxMKBSqO1h3ap1/4xvfyJEjR0rTXd7xjncQCAT4yle+0vA+HxpOkM1DdyQEwPRCnGy+sH11kA72B+q3PzK3Yog6QCqnuf2RubqfJarhhjrdSsTX+5jm3KivBOkdotPZR9uBkx3XawGvFSc7tgo3OqbTaQYHB0mn0ysSxK2FCUOumnEcHx/nmmuuOWP7l770JUetLW/CeRSq46brlVKKTZs2sXHjRhYXF5mYmGB5eZlgMEgoFKppH06u8z09PSuGv2ez2aaGvy+lCuc2lclW3F4JK1AfGBhg7969hMNnBvONMlUh2Vu17Y3ipjrdCsTX+5jm3KivLMHWIZRStmc67jROdqzWAl4PTnZsFW5zXFpa4vjx42SzWaLRaE1ld5tjIzTi+Mtf/pJDhw6tCNB7e3u555576Ovrc1SADmacR6E6bqwDSik2btzIwYMH2b9/P8FgkHg8XtM8czf4rg7KDx061NBDa3e48Mjq8yl8PnXG9rWIRqNkMhmOHz/O3Nxc3cddi96uyj3za21vFDec41Yivt7HNOdGfSVIF4ykXS3gQvvQWjM9Pc3AwACBQKClPSamcezYMQ4dOsTb3va20ranP/3p9PX18elPf7pjSxsJgpdRSrFhwwbOOecc9u/fTygUYnl5mVQqhRuWy61GX1/fiqkyL3rRi/j+979f1z4u2hsl4AOfUviKD7wBX2H7eoTDYUKhEMPDw5w6daolIxCOXNhD2L/ywbtaFncojOK7+t4RXvCFQa6+d4RjA0tNl0MQBG8iw907hNtvuLXgZMfeLn/FdUnrbQF3smOrcINjPp/n9OnTzMzMrDv/fK3Pe51aHD//+c9z9913r9h25ZVX8rKXvcyuYrUUE86jUB03XK/WQylFd3c3XV1dxONxJicnWVxcJBAIEAqFVvTIuKnOv+xlL+Pw4cO89KUvBeADH/gAH/jAB2oe/m7NOz+xoFlO59kQ9lXM7r4Wfr+fWCzG7Ows8XicvXv3Vlzto1bqzeLe6DQ7L9TpehBf72Oac6O+tgXpSqnbgD8GJrTWv1Xc9mLg3cB5wNO01g/bdXynU28Q4Uac7FjvOqZr4WTHVuF0x3Q6zcjICPF4vKb555Vo1ZrFTmYtR601N954Iz/+8Y9XbH/LW97CM5/5zHYUrWWYcB6F6jj9elUPSim6urpKwfrExASLi4v4/X7C4TBKKdfV+Ugk0tQybU/aGuap+zcAsLi4WPfxlVLEYjHS6TQnTpxgz549bNq0qe79WNSTxb3RRHNeqtO1IL7exzTnRn3tvLp/FvgIcHvZtv8GLgc+buNxXYGTk720Cic7NtICXum99Tq2IqN8u3HyeYzH4wwODgIQi8Ua3o9T1hi2k9WO2WyWP//zPz/jQfcDH/gAT3ziE9tZtJZhwnkUquPk61UzxGIx9u/fTyKRYHJykoWFBXw+3xk9626hUqB+11131TRNqRXf81AoRC6XY2hoiAMHDtDdbf99uNFpdl6t02shvt7HNOdGfW0L0rXW31NK7V+17ZeAK28orcZq/fby8gNOd6y1BbzaELVLz+sFanNsVUb5duPU8zg7O8upU6eaWmPYwhry6MQ1h1uF5Tg9Pc3LX/7yM17/1Kc+xbZt29pdrJZiwnkUquPU61WriEaj7Nu3j2QyyeTkJEopfD4fWmvXPVv19fXxjW98g49+9KMAvOQlL+Hyyy8vLdu2Fq36nlsjEgYHBznnnHOIRtef294MjU6z83qdXo34eh/TnBv1dcU4KZ/PRyAQwO/3k8/nSzcirTU+n49cLkcgECCTyRAMBtf9mcvlSjc1KDQa5PN5/H5/zfvIZrNNlcfv95PNZgmHw55xqrQPrTXBYNDVTvcdn2R/bzdLqSzhgI+81mTzmu+fyvK839ClurleeR46nWNLd5hYKEAmV5hHGPT7+EZ/kkvP6+3oeaq2j3w+TzAYXNOx3ecplUqVlivavn07yWSSWCxGMpkkFAqRzWZLQ4u01qVyhMNhEolEaUmeWCxW+pnJZIhGo4TDYcLhMOl0mkAgUJrv6fP5yGazhEIhUqkUkUjkjH1YP61jpFKp0t/Hcsrn8wQCAdLpdNV9WD+bcSrfRzgcZmhoiCNHjpxxfb3//vvx+XyudFp9npRS5HI5Nm7c2NB58vl8RKPRuq9Za9Vfof1kMplOF6EtRCIR9u7dSzabZWZmhkQigVKKSCTiqmD9uc99Ln/wB3/An/zJnwBwzz33lFaPWIt4PN6y4wcCAbTWnDx5knPOOcfWhKONTrMzpU5biK/3Mc25UV/HTgpQSl2jlHpYKfXwzMxMp4vTcgKBgOvmktVLIBBouofTCczEKw9TmY3n6jqPs4nKCX7W2r9TcFJdzeVyDA8PMz8/31CCuLWIRqNNJRByMj/5yU+45JJLVgToe/fu5YEHHuAb3/iG7b1H7SQajXrKR6ifVoyscRPd3d3s27ePc889l82bN5NMJkkkEq5KKBcIBCou07YWsVisqelNq7Hqy+DgoK09e5cc6Ob1F21hW5cfBWzr8vP6i7asO5LOtDotvt7HNOdGfZWdrf3F4e5fsxLHlW1/EHhLrYnjzj//fH3nnXe2voAdxFrCyMvzMrziePW9IxWHqG3r8nP7FWcDtTlW289nXrSn+YLahFPOYyKRYGhoiFwu1/KA2rp4eql195vf/Ca33nrrim2XXHIJ1113XWcK1AaaPY/xeJydO3eydevWlpTnggsu+JHW+qkt2ZlQotozgVOuV+1itW86nWZ6ehqrcyMcDrsqSdPq4Pzzn/88GzduXLHNrut1MpkkEolw9tlnO2qZSdPrtNcxzRfMcy73ree5wD1Xbo9hQiuSVxyrrYVaj2Mja6o6ASecx/n5efr7+9Fa29Lj3eqemU7yqU99ikOHDq0I0K+66ioefPBB3vWud3WwZPbjpfMoNIYTrlftZLVvKBRi586dPPGJT6S3t5dUKuWqnvW+vj7+6q/+qvT7K17xCm666aYV77Hre25NjxkZGXHU38v0Ou11TPMF85wb9bVzCbY7gIuBXqXUCPAuYAb4MLANuE8p9YjW+rl2lcHJeKnHbi284lgtE3wmk+H7g8t84j+n1s3YXm9G+XaxXsb5Tp5HrTUTExNMTEwQiURs691o5RzHTqC15m1vexu/+tWvVmx/+9vfztOf/nTA/Y61YIKjUB2v3HdqZS3fYDDI9u3b2bJlC7Ozs0xOTpYaOZ3es/6sZz2LZz7zmRw+fBiAH/7whyuWabPzex6NRllcXOT06dPs3LnTEX8rqdPexjRfMM+5UV87s7tfucZL99p1TDdhtah4eaiHlxzXygT/k8ksXz+RLA1jXy9jez1rqraDWjLOd+o8ZrNZTp06xcLCQsPrn9eK1SszPz9v2zHsIJPJcOWVV55xA7j55ps5cODAim1udawHExyF6njpvlML6/kGg0HOOuusFcF6Pp8nHA47akj3apRSa66nbuf3XClFNBpldnaWXC7Hnj17Oh6oS532Nqb5gnnOjfo6IxuUgZjQimSC46f+Y4KpVYnfUjnN7Y/MOSoYX4vbH5lbkWkWzix/J85jIpFgeHiYbDZre4AO7uuBnZ+fr5ip/bOf/SybN2+u+Bm3OTaCCY5CdUy475RTq28gEGDbtm2lYH1iYqK0AkKng9BqVArUD19/M/4NZ6HzGS7aG+VJW1ubkd0K1BcWFhgcHGTfvn0dbdCQOu1tTPMF85wd15MuVMeEViQTHKPhEHvCMBdf+QWcqpAgzomsVc7y7e08j1pr5ubmOHXqFIFAoG0Z193SAzs0NMQb3vCGM7bfdddd6y4d5BbHZjDBUaiOCfedcur19fv99Pb20tPTw8zMDJOTk4CzE8z19fXxs5/9jHe84x0AHH3/dQD80ds/w7H+ZQBbAnVryUYrUO/UKidSp72Nab5gnnOjvs68IhtANpu1dakPJ2CCYyabZXwhdcb23i7nDiMsZ61ylm9v13nM5XKcOnWKkZERwuEwoVDI9mNaJJNJkslk245XLz/60Y84dOjQigD94MGDHD16lL6+vprW9nW6YyswwVGojgn3nXIa9Q0EApx11lk88YlPZMuWLaUEc3au+NMMF1xwAZff8LkV2x646WqyeXhoOGHbcaPRKIlEgoGBgY71/kmd9jam+YJ5zo36SpDeIfx+v6Png7UCExyP/PYWdmxYGSC5IWO7RS0Z59txHpPJJCdOnGB+fp5YLNb2ehMKhdraKFArN954I4cOHeLGG28sbXvuc59LX18fH/zgB+uaBuBUx1ZigqNQHRPuO+U06xsMBtm5cyfnnnsuPT09xONx0ul0C0vYOpZSef7o7Z9Zse2Bm65mKWVvJvZoNEo2m6W/v59U6sxGebuROu1tTPMF85wb9ZXh7h3CSct72IUJjv9jZ4R0NsfY/PKK7OhQWBfdSVncK1FLxnm7z6M1vN3v9xONRm091lo4rUV39VrBANdccw3Pf/7zG96n0xztwARHoTom3HfKaZVvKBRi9+7dbN68mdHRUeLxuOOSy3WHfSym8rz8/XfxxetfUtr+zZuu5pnveQ9PfvKTbTt2OBwmlUrR39/PgQMH2jYVC6ROex3TfME850Z9JUjvEHYnwnICpjj+3r5unrrj8d67WjKmO4n1Ms7bdR4zmQxjY2PMzc3ZurxaLThhLmY+n+dFL3rRGduvuuoqLr/88qb37wRHuzHBUaiOCfedclrtG4vFOHjwILOzs4yNjZFOp4lEIo74u160N8qx/mVCAT9Xf/Ar/OK/f8YPb3s3AO985zsBSsu02UE4HCadTtPf38/+/fttWau9Ek7427cT8fU+pjk36itPNILQYqplTBcKyeGmp6d57LHHSsurOam3pt3Mz89z6NChMwL0G264gb6+vpYE6IIgCLWilGLLli2OGwL/pK1hLjmni1hQobVm99kHeP9td614T6VRSK0kFArh9/sZGBhgaWnJ1mMJgmA20pPeIZyanKWVmOpYS8Z0N9HK8xiPxxkdHSWZTDpqKGUn6uqvfvUr/vqv//qM7R//+MfZsWNHy49n6vdRMAvT6oCdvsFgkN27d9PT08Pp06dZXl7u+KinJ20N89t7Cz3Y8XghY3KlZdqOHj1qW29dMBhEKcXJkyfZu3cvmzZtsuU4FlKnvY1pvmCec6O+0pPeIXw+n+eHZprqWEvGdDfRivOYzWYZHR2lv7+/tPa5UwJ0aG8Sk69+9ascOnTojAD9zjvvpK+vz5YAHcxI1GKCo1AdE+475bTDt6uri4MHD7Jnzx6y2WzHs8BX+p739fVx1llnlX4/fPgw3/nOd2wrQyAQIBwOMzQ0xOzsrG3HAanTXsc0XzDPuVFf6UnvECasDWiq45ELe1bMSQd3ZXxfTTPnUWvN/Pw8p0+fJp/PE41GHTkXqR1L67zrXe/ikUceOWO7nT0+5XRq+aB2YoKjUB0T7jvltMtXKcXmzZvZsGEDk5OTTE9P4/P52ppAzWKt7/knP/lJJicnefWrXw3ALbfcwi233GLbPHUr2enIyAiZTIbe3l5bAg+p097GNF8wz7lRXwnSO0QgUPjTezkbsamOtWRMdxONnsdkMsno6CjLy8uEw+Ga1vLuFFbZ7Fhje605knYmOKqEnY5OwQRHoTom3HfKabdvIBBg586dbN68mbGxMRYXFwmFQgSDwbYcH6p/z7dt21Zx+Ltd11ufz0c0GmViYoK5uTl27dpFd3dr7/VSp72Nab5gnnOjvhKkdwgTenxMdlwvY7qbqPc8ptNpJicnmZ2dxe/309XVZVPJWkcikWj5PisF55s3b+azn/1sy49VC3Y4Og0THIXqmHDfKadTvpFIhLPPPpulpaXSkm2RSKQtQ1hr+Z5XCtTvueceW6bD+Hw+YrEYmUyGgYEBenp62L59O6FQaP0Pr8OxgSW++utxZuJ5fORc3eBfK/Id9j6mOTfqa86EAIcRDAbb2vLcCcTRG9TqmM1mGRsb49e//jVzc3NEo1FH956XE41GW7JGeyaT4dChQ2cE6Jdddhl9fX0dC9ChdY5OxgRHoTomXJPL6aSvUooNGzZw7rnnsmPHDlKpVFvmq9f6Pe/r6+NpT3ta6ffLL7+cT3ziE7aVKxgMEovFWFxc5Pjx40xPTze1HrS1nGs4FGJnT6S0nOuxAW9nlZfvsPcxzblRX+lJ7xAmtCKJozdYzzGXyzEzM8PExARA23pTWkk8Hm/q80NDQ7zhDW84Y/s111zD85///Kb23SqadXQDJjgK1THhmlyOE3x9Ph+9vb1s3LiR8fFx5ufnCQQCLelJrkQ93/O//du/ZWlpiZe//OUA3Hfffdx33322DX9XShGJRMjn85w+fZr5+Xn27dtXGu5aD9ZyriOzj48csJZz9XJvuhPqdDsxzRfMc27UV4L0DmG1qHg5eYI4eoO1HPP5PHNzc4yPj5PL5VwZnFvEYoUlfebn5+v63P3338/HP/7xM7Z/6EMf4pxzzmlJ2VpFo45uwgRHoTomXJPLcZJvKBRi7969bN261dYl2+r9nnd3d7d1njo8PgQ+kUgwMDDA/v376+5Js5Zt3bO5MGpgLp5Zsd2rOKlOtwPTfME850Z9JUjvECa0IomjN1jtqLVmYWGBsbExMpmM45PC1UK9PbDXX389jz766Bnbv/SlLzl2Dr4JvcwmOArVMeGaXI4TfWOxGOeccw5zc3OMjY2RTqcJh8Mta8Rt9HteKVC3+5odjUZJJpOlQL2e0QW9XX4ml3MretKt7V7GiXXaTkzzBfOcpSfdZZjQiiSOzubYwFJNGegtx2w2y/LyMmNjYySTSUKhUKlHw+3U2jPjlEztjWBCL7MJjkJ13HxNboR6fGu95reC8iXbpqammJqawufzEQ6Hm15yspnveV9fHx/+8If51re+BcCf/umfcs455/ChD32oqTJVIxKJkEqlSoF6rY3a1nKu5T3pbl7OtVbkO+x9THOWnnSXYUIrkjg6FyshjbWWu5WQBjjjoS2TyZBIJBgZGWF5edlTwbnFej0zbg7OLUzoZTbBUaiOW6/JjVKrbz3X/FYSCATYsWMHPT09LVuyrdnv+Rve8AauvfZarrjiCgD6+/ttH/4eDodJpVL09/dz4MCBmtaXt85L36PLTMdzbHP5cq61It9h72Oas/SkuwwTWpHE0blYCWnKqZSQJplMkkwmWV5eJpVKOXYod7Os1TPjheDcwoReZhMcheq49ZrcKLX61nrNt4tWLtnWiu95MBhs+zz1cDhMOp2mv7+f/fv319TYfcmBbi49rxeovC68F5HvsPcxzVl60l2GCa1I4uhc1ko8Y20vX+vcWkrN7fPOq1H+8BOPx7nyyivPeM+BAwe4+eab21iq1mLCA54JjkJ13HpNbpRafde75reD8iXbrBVBtNZEIpG6hsC38nteKVD/5Cc/yVlnndWyY5QTCoVK66nv3buXjRs3rvsZqdPexjRfMM9ZetJdhgmtSOLoXKyENKvZHoPx8XEmJydRShGNRtm0aRNQCNy9Sjgc5he/+AWve93rznjtVa96FS984Qs7UKrWYjWypFKpDpfEPkxwFKrj1mtyo9Tqu9Y1vxNJyKwl2zZt2sTExAQzMzMEg8Gak6q1+nve19fHnXfeyZe+9CUA/uIv/qK03Q6CwSA+n4/BwUF27NhBb29v1UYKqdPexjRfMM+5UV93rpfkAXK5nOcrpzg6lyMX9hD2P/5Q4CPP7sAiL9o+y9TUFJFIhGg0ilKKdDrt6QD9zjvv5JJLLjkjQL/55pvp6+vzRIAOeP48ghmOQnXcek1ulFp9V1/zgY4nIQsGg+zevZuDBw/i8/lIJBJordf9nB3f85e+9KUcPXp0xba1pju1Ar/fTzQaZWxsjFOnTpHP59d8r9Rpb2OaL5jn3Kiv9KR3CLeuJ10P4uhcrDmItz8yx/JygvOj8zx1u48nbd94hlMg4M3LxF/8xV8wMTFxxva77rrLk0P7vXoeyzHBUahOK67J7cyC3iy1+pZf853mFYvFOHjwIBMTE0xNTREOh6t+l+36niuleP9td3H9K19S2tbqeeqPTqd4aDjBUipPd9jH0/dEUGqOdDrN3r17KybUc+tzRqOIr/cxzblRX3mi6RC1tBa7HXF0Nhfv7+KCDUnGxuYIBLrXHGpYrYXfjazVO/LAAw94Oju4185jJUxwFKrT7DW5U1nQG6Ue30sOdDvSAQo9yzt37mTDhg0MDw+TyWTWnKtu1/f80ekUx/qX+aO3f4YHbrq6tP3QoUPcdNNNnH/++S3Zf7ZY/MVUngcH4lxyThdn+5KcOHGCs88+m2g0uuJzbn7OaATx9T6mOTfqa1ZThiAIQGG44MmTJxkbGyMSidQ8F9DNHDp0qGKA3tfXxwMPPNCBEgmC4DSqZUEX7Ke7u5tzzz2XjRs3Eo/H2zok9qHhRCmA/qO3f4bfvOzxQP3tb39708Pfy/dvkc0XtlsNEv39/bI6hSAIgPSkd4x6Mpm6FXF0JvPz85w6dQqlVE1LwLh5WJLWmsOHD1d8rXwIo5sda0UcBRNo9prshCzo9eDGe9B6BAIB9uzZw4YNGxgdHSWbza6YgmTX93wptTKC3n3hs9h94bPO6FVvdPj76v2v3m4llBsaGlqRUM6L57ga4ut9THNu1FeeaDpEPp/3/NBMcXQWuVyOU6dOMTQ0RCAQqHnedTabJZvN2ly61rKwsMChQ4fOCND/x//4H/T19Z3xkOVGx3oRR8EEmr0mr5XtvBNZ0GvBTfegelBK0dPTwxOe8AQikQjxeLzkadf3vDtc+ZH48hs+t+L3RnvU19p/+fbyhHKjo6Ol8+vFc7wW4ut9THNu1FeC9A7h9/vx+515028V4ugc4vE4x48fZ25ujlgsVlfinVAo5Jrh8I888giHDh3iFa94xYrtb3rTm+jr6+Pv/u7vKn7OTY6NIo6CCTR7TXZiFvRquOUe1CihUIj9+/ezY8cOkskk6XTatu/5RXujBFY9FQd8he2rG3YPHTrEd77znZbtvxyfz0csFmN2dpaTJ08CuPYcHxtY4up7R3jBFwa5+t4Rjg0srfsZr9fp1ZjmC+Y5N+pb05O6UuopwDOLv/6b1vondR9JWEGjC9u7iU46tis7r9PPo9aaqakpxsbGCIVCZySkqQU3rDn9qU99in/91389Y/vHPvYxdu7cue7n3eDYLOIotBKnPhc0e012chb0Sjj9HtQKlFL09vbS1dXFyMgIs7OzDd3L1uNJWwujy8qzr1+0N1ra3tfXx09/+lPe+c53AnDLLbdwyy231Dz8fb39l2NNR0smkzz22GPs2bPHdatXNJqE0YQ6XY5pvmCec6O+637jlVJvAv4CuKe46QtKqU9orT/c0BEFoPGF7d1EpxzbmZ3XyecxnU4zMjLC8vIy0Wi04Xl8kUgEcGYA9Cd/8icVhz1+5StfqeuBxsmOrUIchVbh5OeCVlyTnZwFfTVOvge1mmg0ysGDB4nH48zNzZHNZlseuD5pa7hi0Gzx5Cc/mb6+vhVD3uuZp77e/lcTiUSIRCJMTEzQ3d3Nxo0ba/5sp6mWhLHa98ukOg3m+YJ5zo361nJ1exXwdK31MoBS6h+AHwAdvxm7GRNakTrl2OiNoRGceh7n5uYYHR1FKUVXV1dT+3LismRrzQlsNKGPEx1bjTgKLcSxzwVOvSbbhWm+Pp+PTZs2EQgEGBgYqLpUm51UCtSPHj1qSzkymQy5XI7BwUHOOusszjrrLFck3mo0CaNpddo0XzDPuVHfWrrWFFD+jcoVtwlNEAwGSy0rXqVTju3Mzuu085jNZhkZGWF4eJhgMFhzcrhqxGKxmrLAt4Nqy6g1GqCDsxztQhyFFuLY5wKnXZPtxjRfKDhbSeW6u7tXJJVrJ6vvOYcPH+ZjH/tYy48Ti8XYsGEDsViMiYkJhoaGXJEgs9EkjKbVadN8wTznRn1r6Un/DPBDpdS9xd8PA5+u+0jCCkxoReqUY2+Xn8kKAbkd2XmddB7j8TjDw8Nks1lisVjLWto73TuZy+W4/PLLK77WTGBeTqcd24E4Ci2koecCpdRtwB8DE1rr3ypu2wLcCewHTgIv0VrPNlowJ12T24FpvvC4czAYZN++fczMzDA2NobP52tJw3Q99PX1MTQ0xBve8AYAvv71r/P1r3+9ZfcmePy6Zo2MW1pa4sSJE+zbt8+Wufmt4siFPSumHkJtSRhNq9Om+YJ5zrb1pGutPwhcDcwU/12ttb65oaMJJUxoReqUYzuz8zrhPFrBeX9/P1CYt9fKoXCd6p2cnJzk0KFDZwTol1xySdM956sxoQdWHIVW0cRzwWeB563a9jbg21rrc4FvF39vGCdck9uJab6w0lkpxdatWzl48CCBQIB4PI7WjweFj06n+Nwjc9z6wxk+98gcj063Pl/Fvn37KmZ/r4dq5Vx9XYtGo2it6e/vZ25urqmy28klB7p5/UVb2NblRwHbuvy8/qIt6047NK1Om+YL5jm3vCddKbVRa71QbOU+WfxnvbZFaz3TQDmFIia0InXKsZ3ZeTt5HhOJBOPj4ywtLeHz+VoenFu0u3fyW9/6Fh/+8JlTW9/+9rfz9Kc/3ZZjmtADK47VeXQ6xSNDizz2E4WOJRyd0btTNPtcoLX+nlJq/6rNh4CLi///HPAg8NeNltGEe2s5pvlCZedIJMLBgwcZHx9namqKcDjMifkcx/qXyRZHwi+m8hzrXwaoK3lbrVSap3733Xev+3D+6HSqajkrXddCoRC5XI7h4WESiQTbt29vODmsnTSShNG0Om2aL5jnbEd29y9RGJb2I6A8C5cq/n5OQ0cUADMyG3bSsV3ZeTvhmEwmmZycZG5ujkAgYFtwbmG14M/Pz9t2DIC/+Zu/4Re/+MUZ22+77Ta2bt1q67Hb5dhJxHFtrIfksNZo7F0RwuXY8VywXWt9uvj/MWD7eh/w+XwEAgH8fj/5fL50/dNaE41GyeVy5HI5MpkMwWBw3Z+5XA6fz1fqgVVKkc/n8fv9Ne8jm81WLI/P5yOXyxEIBGzZh8/nIxgMsrS05Bmn9c6Tdd/NZDIrnCKRCHv27GH79u0MDAwwl1FEwyF2bN7AxNwS23q6mF1KcioZ4rfLpoTl83kCgQDpdJpIJEI8HicWi635M5lMEgqFyGazpcBYa43f7+cb3/gGz33uc0t19YorruBJT3oSH/rQh87YRzgcJp1OM5zQbOsp7Cfg95FMZ9gQi/DLmSRPO6eQJM/K8F6+j0QiwebNm5mfn2d6epqzzjqr9LdxwnlqtO51d3eTzWbJZrOOq3t2fJ/quWa5xWm98nR3d5e+v15xqraPcDiM1rruYH3NIF1r/cfFnwfq2qNQEya0Iolja0mn00xOTjI7O4vf72/pvPNqJBIJW/e/1rDAe+65B7+/9XkEKmG3oxMQx7V5aDhBNg/hsq+TXStCuBm7nwu01loppSu9ppS6BrgGYNeuXWvuw3rwc0P261aQzWaNcbVYL2laLBbjwIEDfH14kC6VRrEyqVw8XbGKtYwHH3yQsbExXvaylwHw6KOPctlll/Hggw9WfH88XTnp3XKqsD2ZTK55jpVSRKNRUqkUg4OD7N6929Hz1GvBCtBNIZvNksvljPoeW+fYiaM/7MCOnnQAlFIvAr6jtZ4v/t4DXKy1PtrQEQVAetK9QjscM5kMU1NTzMzMlG7I7byYWzf8dDrd0v22ehm1ZrDL0UmI49ospSo/JNuxIoQXaPFzwbhSaqfW+rRSaicwUelNWutPAJ8AOP/88/VaD/J+vx+lFMlkEnj82rzez0pYD1a17qNaYGG91up9RCKRUi+cV5yq/YTC0HaAVCq1ppPP5+NHMwF0IsrexBg57eN4PAko0qkk8Xjl4MDapzUaZ62f1vsqkUwmiUajZwx/v/jii+nr6ztjH7MLiyyuugZNzsfZEPYxPz/Ppk2byGQyZDKZM8pRfq3LZDL88pe/ZPfu3WzevLm0vVPnaTX11L3y73Az5XGS01rlqfea5QanWsrj8/lKzl5xWmsfq69ZtVJLE8a7rBsxgNZ6DnhXXUcRzsCElkJxbH7fExMT/PrXv2ZmZoZwONyR9WBTqVTdF5Zq2LWMWjO02tGJiOPadIcr3wrtWBHCI7TyueCrwFXF/18FNHURMOG+U45pvlC785Hf3syibwO/ym5nWYfoVmm6fRmevidiexmtRHD/6+2fWbH90KFDLCwsrNh20d4ogVWXoICvsB1qv64Fg4VlV0dGRhgdHe3IsnStwLQ6bZovmOfcqG8tS7BVenqp5XNCFaxhvF6upOLYGLlcjtnZWSYmJtBaEw6HOzokyBotUK1Vez3S6TQvfvGLK77WqcC8nFY4Oh1xXJuL9kYLiZrKRsHatSKER2jouUApdQeFJHG9SqkRCoH9+4C7lFKvAgaBlzRTMBPuO+WY5gu1O5cnke1fDrI7kuPw2Tn2hFOlOeF2NHqvTgT3R2//DP/x2RuZHx0A4BWveAXw+L3PSmL30HCCpVSe7rCPi/ZGS9vrua5ZU+FmZmZIJpPs2bOHUCjUUj+7Ma1Om+YL5jk36ltLsP2wUuqDwK3F319HIWmM0ARubeGsB3GEYwNLNWeZz+fzzM3NMT4+XhrGWEtw/uh0as2beytoZij/Y489xlve8pYztl9wwQW8973vbaZYLcXLUzIs3OpYT/1u1NHa3yNDGVSusFSQZHevSkPPBVrrK9d46Q9aVTAT7jvlmOYL9TlXSiKbSqWYnp5mZmYGn89XGoraKqwcF+U87c//jpg/R997Xl3adujQoRWBequua0opYrEYqVSqtJ56V1dXfRIdxLQ6bZovmOfcqG8tQfobgHcCd1LoZ3iAwg1ZaAITEkSY7nhsYImPPDRDKlfonlsrY3Q+n2dhYYGxsTGy2SzhcJhwuLYge72lW1pBI+fx1ltv5Zvf/OYZ2//qr/6KZz3rWa0oVksxva46lXrrdz2OVlZZ6wF4b1Rz9nmb2LNnDxs3bmy+8N7Gsc8FbqznzWCaLzTvHA6H2bVrF729vZw6dYrl5eWW5npZK8dFIuevuEzbeqPJGi1XOBwmk8nQ39/Prl272LJliyvqixvK2EpM8wXznBv1rRqkK6X8wNe01pc0tHdBMJjbH5krBegW5RmjtdYsLCwwPj5OOp0mFAqVlpCqlUot9tl8Ybsd68Cux1rJ4NqxjJrgPVpVv3O53IoMulrr0vKFXV1dRCIRQqEQwWDQuIeHepHnAsErhEIhzj77bEZHR5mdnSUajbZkall32HdGIjhrO1ReT/3DH/4w+/bta/rYqwkGg/j9fkZHR0kkEuzcubNtq6YIgtAcVYN0rXVOKZVXSm0qTxIjNI+1hp+XMd1xrczQU8tZlpaWGBsbI5FINBScW6zVYr/W9kaoZZjOWsH50aNHXRH0mDD0yo2O9dZvK8N1KpVaEZAHg0G6u7vp6uoqjVQJBCS1SiM4/bnAhPtOOab5QmudfT4fu3fvJhgMMjExQSQSaTqItXJclDcwlieCg0Kg/rGPfYyvf/3rALzhDW8obV9Ns9dun89HLBZjbm6OZDLJ2WefXZrn7kRMq9Om+YJ5zo361vKUsgT8TCn1ALBcdsA3NnREAcCItQFNd+zt8jO5KlCPkua86CIDA4sEg8Gm54mt12LfCqoFM05aRq0ZTAjY3OhYrX5rrUs95NZDbCgUIhQKsXHjRmKxWCkgl56jluPY5wIT7jvlmOYLrXdWSrF9+3ZCoRCnTp0iFAo1db1cLxGcxbXXXstrXvMaDh8+XNpWafh7K67d1jz1ZDJJf38/+/fvr3laXbsxrU6b5gvmOTfqW8s3/57iP6GFuDWJUz2Y7njkwp6yOemaXrXMgcA8T93ZRSwWa0kPcy0t9s1Sac1prwTnFl5eO9zCjY6P129NkDxBlSOo4KnboySTSSKRCBs3biQajRIKhejq6sLn8xmTMbaDOPa5wIT7Tjmm+YJ9zps3byYYDDI0NEQul2sqiK2WCK4cpdS689Rbee2ORCKkUin6+/s5cOBAy5PmtQLT6rRpvmCec6O+6wbpWuvPKaVCwBOLmx7VWmcaOppQwmoZddLDZD2ZyGvBiY6tppqj9bf7/H/NEE7Osj8c54I9m/iNba0LoGttsW8G6yY+PT3Ny1/+8orvcWtwbmE5enkdcbc4lveQ74tpnr3Hz0/GUkylA+SC3Vx83laeebDwML26ddpaasjL1xwn4OTnAhPuO+WY5gv2Ond3d3POOecwPDxMPB5vaUK5alQK1N/+9rfz9Kc/veXX7nA4TDqdLvWoNzrdzi5Mq9Om+YJ5zo36VgzSlVI9Wuu54v8vBj4HnAQUsFcpdZXW+nuNFlaATMYRzzMlas1EXg9Oc7SD9Rx/b1eQvbk0yWSAaHS7LTf7WlvsG+XYsWPccMMNZ2x/ylOewo033mjbcdtJPB7vdBFsx4mOlYasK6VKPeSxWIyDB0NcVuN6xiZcczqFW54LTKsDpvmC/c6RSISDBw8yOTnJxMREKamk3fT19XH06FE+85nPAHDTTTcBcP/997f8WKFQiEwmw8DAAPv27WPDhg0tP0ajmFanTfMF85wb9V2rJ/1PlFJxrfUdwD8B/0tr/SiAUuqJwB3A/2joiAJA6YLvlCEf62UibwSnOdrBWo65XI75+XnGxsZKc8Hcxnve8x4efvjhM7b/zd/8DRdddFEHSmQf1vmZn3dcHqyW4QTH1QG51ppwOExPTw9dXV2EQiHC4XDD87dMuOZ0EFc8F5hWB0zzhfY4+3w+tm/fTnd3NyMjIyQSCSKRiO296ocPH+bw4cMretUvu+wyHnzwwZZfu63VLE6ePMnevXvp6elp6f4bxbQ6bZovmOfcqG/FIF1r/Wml1PXWvq0bcfG1XyulnJsW0iU4rRVp7UzkjX+BnOZoB5lMBq01MzMzTExMEAwGCYfDLC4ulua0uS1p1Vrzzb/whS84qrW9lTixl7nVtNtx9TrkAH6/v5RlPRKJtPz7YcI1p1O45bnAtDpgmi+017mrq4snPOEJjI+PMz093baVIVYPf7/44ottmVYWCARQSjE8PMzCwgI7duwoTRvqFKbVadN8wTznVveko7V+f/G/DyulPgV8ofj7y4Ezu9eEunBaK1KlTOTW9kZxmqMd5HI5JicnGR8fJxQKkcvlWFxcLAXrbmKt4PzBBx8EpJfZ7djpmM/nyeVyZDKZ0rJnfr+fWCxGd3d3KSC3++HWhGtOJ3HDc4FpdcA0X2i/s9/vZ9euXWzYsIGRkREymUxbetUrzVN/xStewRVXXNHS41jX6qWlJR577DG2b9/Oli1bOpaB27Q6bZovmOfc0p70VbwWeB1gLa3yb8BH6zqKcAZOa0VamYm8QNivOHJhT8P7dJpjK8lkMkxMTLC0tEQwGFwxnN1tS12tl6ldepm9QasctdZks1my2Wxp7U9rHd4tW7YQjUZLAXk7Ei6V4+VrjsNw7HOBaXXANF/onPOGDRs499xzOX36NHNzcy1ZU309+vr6+K//+i/e/e53A/D5z3+ez3/+8y3vVbdygeTzecbGxpiZmWHXrl10dzeePLhRTKvTpvmCec4t70kv4/nArVrrD9azY6XUbcAfAxNa698qbtsC3Ansp5Bw5iVa69l69usVnNaKZM07b2V2d6c5toJ8Ps/s7CxjY2MAbN9eSAbXiR7YR6dTPDScYDGVRynQGjbUmN1da71ibdZyVt/8pZfZGzTiuDqxmxV0R6NRenp6SgF5KBRqe0BeCS9ecxxKQ88F7cC0OmCaL3TWORAIsGfPHjZs2MDo6GipV91OLr74Yh588EEuvvji0rZK66m3AqvB1Uoq19PTw44dO9qSOM/CtDptmi+Y52xnT/oLgA8ppb5HIcD+f1rrWnLIfxb4CHB72ba3Ad/WWr9PKfW24u9/XVeJPYITW5EuOdDdVFC+Gic6NkMikWBkZKS0PrPf7yeRSHSkLI9Op1asj17s0GQxledY/zJAxUB9fHyca665puI+17rhSy+zN6jF0QrIc7lcKegOh8Ns3ryZWCxWCsg7NQxyPbx2zXEwjT4X2I5pdcA0X+i8s1KKnp4eYrEYo6OjLC4u2tqrbl27Kw1/P3r0qC0NpMFgkEAgwMLCAouLi2zfvp3Nmze35drf6fPbbkzzBfOcbetJ11pfXUwIcylwJXCrUuoBrfWr1/nc95RS+1dtPgRcXPz/54AHqSFI9/l8BAIB/H7/it4crTU+n49cLkcgECCTyRAMBtf9mcvl8Pl8paGaSiny+Tx+v7/mfWSz2abK093dXRoy6hWn1fuwWpeTyaSrndLpNIuLi4yPjxONRtm4cWNpzm0kEiEUCjE5OUk0GiUejxOLxc74mUwmS2uTBgKBUnZrn89HNpslFAqRSqWIRCJr7iORSBCNRkmlUpxKano3KXw+hU8p0tkcsXCQhXiKrRti/PdUnKeds6n02c997nOlZV3KOf/887nllltKfxfrbxsOh0vHCwQCRCIRJiYmbHWyzrl1nvL5PIFAgHQ6XXUf5eUJhUJks9nSg8RaTqs/azlOTU15xmn1ebIeIst70pPJJIFAgEQiUeo92bFjBwAbN24ECkG6XdeIVl/3wuFwaTh+p6575fvwKo0+F7QD6aHxPk5xDoVCnH322czMzDA+Pl665re617l8FNTqQP3w4cP8/u//Ptdff/1aH28YpRTRaJRcLsfo6GhpCHxXV1fT+z42sLTmyE2nnN92YZovmOdsZ086WuuMUurrgAaiwGGgkZvxdq316eL/x4Dta71RKXUNcA3Arl27GjiUs7ECdC+Ty+Vc/6CaSqUYGhoCqJj4KpVKdcQxnq5+zOVUIbi87LLLKr5+ww038MxnPrOmOphKpRzbc9oqvO6otWZpaQmlFMlkEijcNLq6uti4cSNKKbq7u8nlcmcEoW4il8uVGlYEe2nhc0FL8fp9dTWm+YKznJVSbN26lZ6eHhYXF5mammJ5eRmfz9ey5HLWNduir6+PoaEh3vCGNwDw7//+77YNf4dCYrmuri7S6TT9/f1s2bKFs846q+HGiGMDSytyIE0u5/jIQzNAYUSnk85vOzDNF8xzbtRXrRdgKKUuBV5KoQf8QeAu4Ju1DG0r9qR/rWxO+pzWuqfs9Vmt9eb19nP++efrO++8c723uQor83cqlepwSezDjY5aa1KpFIlEgsXFRRYWFggEAmsuSWItSba4uNjOYvK5R+ZYTK0djDxw09UVt99xxx11r9neKcd24iXHSond/H4/27dvL/WKhMPhts4xbBdOu+ZccMEFP9JaP7XT5Wg1zTwXtIJqzwROqwN2Y5ovON85kUgwMzPD3NwcQNPBerX70+rEr3YF6hZa69LoyL179zaUWO7qe0cqria0rcvPZ160x/Hnt9WY5gvmOZf71vNcUEtP+hEKc85eo7Vu9q85rpTaqbU+rZTaCUw0uT/XYkJvj5scs9ksp0+fZnFxsVRuazh7tR7WTrUGXrQ3umJOusVawXkzN24TWjzd6rg6IFdKlYYobt68uZTYLRgMlhqa3NY7Xg9uuua4nFY+F7QU0+qAab7gfOdoNMru3bvZvn074+PjzMzMEI1GGx6tVe3+VGme+pe//GXb1jq37i/ZbJaTJ0+yY8cOtm7dWlcjxFSFAL18u9PPb6sxzRfMc27Ut5Y56Vc2tOfKfBW4Cnhf8ae9TX4OxgmZkO3GLY6pVIrBwcHSHN96bqTrvdfKwL6UytNdY+b1WrD2YWV3tyM4t/DyMHALNziuzrQOjy+bs2nTphWJ3Sp999zyfWwGExydQIufC1qKaXXANF9wj3MgEGDXrl1Eo1FGR0cbnq++3v1pdaD+4he/mK1bt3LbbbfVfaxaCQQC+Hw+Tp8+TTKZZOfOnTUnzuvt8lfsSe/tKnzeLee3VZjmC+Y5N+q7ZpCulPq+1voZSqlFCnPOVPlPrfXGdQp0B4WhcL1KqRHgXRSC87uUUq8CBoGXNFRqQWiSfD5PIpEgkUgwOTkJFFq/W8nqDOzrZV6vlyf0BLj+lVdVfM3uIW+CfeTzefL5fGl+dfmUpHA4TE9PD11dXY7PtC54j2afCwTBNJRSbNmyhUgkwtDQUGl1mFbT19fHwsICr3jFKwCYnp62dZ46PL5c29zcHMlkkn379tXUg3/kwp4Vc9IBwn7FkQt7bCurILiRNYN0rfUzij83NLLjKi3tf9DI/ryG2xOq1UInHdPpNPPz86UELn6/H5/Ph1KKeDxOIpEoDQ+2lhpphGqODw0nzhiOns0XtjcTpA8MDHDddddVfM2OG7LU1dYfywrCy5MrKqVKmdtDodCKnvFgMEg4HG5qiR85j0KzNPtc0A5MqwOm+YKznKtlKS8nFotx8OBBRkZGWFpaIhaL1dy7Vqvvxo0bKw5/7+vrs21Un1KKWCxGKpXi+PHj7Nu3b9156tbfZ62/m5PObzswzRfMc27Ud93IRCl1AfAbxV9/obX+eUNHElZgQu9Xux211iwvLzMzM8PCwgJKKQKBAFrrFf+s5bZaMdymWtC0tEZit7W2r8cnPvEJ7rvvvjO2P/vZz+bNb35zQ/usBbvWfnUSdjhWSuBm1blgMFiaLx6JREoNRdZSk3Yg1xyhVTj5ucC0OmCaLzjHeb0s5asJBoOcffbZjI+PMzU1VfPa6vXeEyoF6s+57mb8sU1A60f1QWGUVzabZWBggF27drFly5aqz1iXHOiu+DcC55zfdmGaL5jn3KhvteHumyjMGd8H/ITCcLYLlFJDwCGt9UJDRxQAM9YGbJdjNptlfn6eqakpMpkMfr+faDTaljkv1ZJwdYd9FTOwd4fr+7Kuzt5q8b73vY/zzjuvrn01gpcTjVnU62g1+FhD063/rw7Go9EomzZtIhqNlgLxYDDYkflYcs0RmsUNzwWm1QHTfME5zrc/MrdiyDZAKqe5/ZG5qgHozp07icVinDp1imw2W8r8vBaN3IP7+vp43etex8jICADfufk6AP7o7Z8BWjOqbzXWPPXR0dHSPPVGghOnnN92YZovmOfcqG+1nvT3AA8Dz9Fa5wGUUj4K88r/HnhDQ0cUAErDq92aVboW7HbM5/NMTU0xOTmJ1ro0RLidWDfX1euYQuUM7AFfYXstrBWc33333W1dPquao1cIhUKltcQrBd2wMvGHNSLDGoZu/T8YDOL3+6smcOsUcs0RWoDjnwtMqwOm+YJznNfLUl4Nq/F2ZGSEeDxetWOh0XvwrbfeSiaT4Yorrihte+Cmq0uBeqOj+qqxep763r17684075Tz2y5M8wXznBv1rRak/yHwZOtGDKC1ziul3g78rIEyCmVI72TtZLNZpqenSwGT1TI7OztLJpNZd5k0O0kkEmu+Vp6BvZ55YGsF551KBlfN0a3k83lSqVSpTuVyOfx+f2k+uBVwW0G3ldfA+mflN3ATcs0RWoDjnwtMqwOm+YJznNfLUr4eoVCI/fv3Mzk5ycTERKnBdzXN3IODwSCX3/A57nnX40lmrUC93lF9tWIt05ZKpThx4gT79u2jq6ur5s875fy2C9N8wTznRn2rBelprfUZIb/WOquUctS6qG7E6gn18pCPVjgmk8nS8mhWIG4FVoFAoO0956uxMsKn0+mKrz9pa7jm4WROC84t1nN0C1pr0uk0uVwOn8/Hli1b2LRpE+FwuJTEx8ujBeSaI7QAxz8XmFYHTPMF5zi3Iku5z+dj+/btdHV1MTw8TDabPSP7e7P34Iv2Rkm84zN8/b2PL9X6wE1X81fv/SBQe1nrJRwOk8lk6O/vr2meuoVTzm+7qMe31kSFTkfOcW1UC9IjSqnfpjDnrBwFtG4Si6GY0IrUrOPCwgLDw8P4/f6OB+NrEY/Hm/p8Op3mxS9+ccXXOh2cWzTr2Em01mQymdIQo40bN7J582a6urpWjL4wYciVXHOEFuD45wLT6oBpvuAc5/WylNdDd3c3T3jCEzh16hSLi4tEo9HSParZe7DVURC94XM88s2v0P/vXwXgn97xZv4Je581rNFoo6OjzM/Ps2vXrnWXoHPK+W0XtfrWm6jQycg5ro1qQfpp4INrvDbW0NGEEia0IjXqqLVmamqKsbGxNYd/OQWr8WB+fr6uz/3sZz/jHe94R8XXnBKcWzTq2Emy2Wyp16Grq4sdO3bQ3d29Zl2S76M3MMGxwzj+ucC0OmCaLzjLuVqW8nqxsr9PTk4yPj5eev5pxT3YGtV31YWvQutXcvjw4dJr7VhPvaurq7RMW29vL9u2bVsza72Tzm87qNW3kUSFTkXOcW1UWyf9kuaKJFTDhFakeh1TqRTLy8vMzs6WEqk4fZmGelu4b7rpJn74wx+esf3yyy/nqquuqvCJzuOWnvRcLkc6nUZrTTgcZteuXXR3d9eUtEa+j97ABMdO4obnAtPqgGm+4G1npRRnnXUWsViM4eFhcrlcy+/BSqk111O3k3A4XOqEmZ2dZdeuXWzcuPGMIfBePr+VqNW3mUSFTkPOcW04t4vS45jQirSeYz6fJ5lMEo/HmZ2dJZVKlT5nzRF2OrW2cK813/wjH/kIe/fubXm5WomTe9LLE8AFAgG2bdvGxo0b1x1Otxr5PnoDExyF6phWB0zzBTOcu7u7OXjwICMjIyiliEQiLQ9sKgXqN9xwAxdeeGFLj1OOUopYLEY2m2VoaIju7m527NhRmncPZpzfcmr1bTZRoZOQc1wbEqR3CBNakVY7WgFVIpFgcXGRpaUltNYopUqBudtYr4V7reD83nvvdfwoAQun9aSvTgC3efNmenp6qi5hsx4mfh+9iAmOQnVMqwOm+YI5zlb295mZGaanp0urjLSSvr4+vvvd7/LBDxZmsbzrXe8qbbeTQCBAIBAgmUxy4sQJNm3axFlnnVVKNmcStfq2IlGhU5BzXBsSpHcIr7ciWRnYM5kMk5OTLC8vk0gkVmRmj0Qirugtr8ZavcxOzdTeCE7oSa81AVyjeP37COIomIFpdcA0XzDL2efzsWfPHjZt2sSjjz5aWhq0lTz72c/m2c9+dtuHv8PjQ+AXFxeZn59n69at7N27l0AgYMT5hdrrcysTFXYak77DYGNPuipEUS8HztFa36iU2gfs0Fr/RwPlFIp4rRUpl8uVesmXlpaIx+MEAgGUUqRSKc8E5atZvWSXl4Jzi04uS1ZvArhG8dr3sRLiKLQKJz8XmFYHTPMF85wzmQyRSIQDBw4wODhIPp8nHG79YgqdmKcOlIbza62ZmZlheXmZ3t5eNmzY0PKRA06knvrcykSFncTE73Aj1PKk+1EgDzwHuBFYBL4C/M+GjigA3mhFyuVyzM/PMz09XZpPDoVe8mAwSE9PD1BYSs2rhMNhFhcXPRmcW1gPA+Xn2E5WJ4DbuXMnGzZsqCkBXKN44fu4HuIotBDHPheYVgdM8wXznC3frq4uDh48yODgIIlEYsU87lZRKVD/y7/8S5773Oe2/FirUUoRjUbZsGEDS0tLjI6Osm3bNjZv3uzoVX6axbT6DOY52zkn/ela699RSv0XgNZ6Vill39OyIbi1YlqZRhcXF5mbmyOfzxMKhSrOB7Z6QL3K9773Pf7pn/7pjO2hUIgvf/nLHSiRPbTjPObzedLpNPl8nkAgQG9vL5s2bao7AVyjuPX7WA/iKLQQxz4XmFYHTPMF85zLfcPhMOeccw7Dw8MsLS3ZkmS3r6+PX/7yl7ztbW8D4KMf/Sgf/ehH29bpkMlk8Pl8hEIhxsfHmZiYoLe3ly1btrR8qL8TMK0+g3nOjfrWEqRnlFJ+QAMopbZRaEEXmsAtScMstNbMzc0xNjZWStgVCoWqeni15fO1r30to6OjZ2y/+uqrV6w96hXsOI9aa3K5HNlslnw+j8/nY9OmTfT09HQks7/bvo+NII5CC3Hsc4FpdcA0XzDPebVvIBDg7LPPZmxsjOnpaVuWqz3vvPM6Nvzdeubw+XzEYjHy+TxTU1NMTU2xdetWent7PfV8aVp9BvOcG/WtpZb/M3AvcJZS6u+BK4B3NHQ0oYSVQK0THBtYqjnxhLV2uTWkPRwO1zwXKp93xDNby1hrSPsXv/hFurvdP0doLZo9j/l8vhSQW9n8odAj0NPTQ3d3N11dXR2de9bJ72O7EEehhTj2ucC0OmCaL5jnXMnX5/Oxc+dOQqEQp0+fJhwONxS4Pjqd4qHhBEupPN1hHxftjfKkrY8/41UK1I8ePWprQ/rqZw6fz0c0GiWfzzM9Pc3s7Cy7d+9m48aNtpWhnZhWn8E850Z91/1Ga62/qJT6EfAHgAIOa61/2dDRhI5zbGBpxRIOk8s5PvLQDFBISGEl6lpeXmZubu6MtctNpNp8c+tv4rRlyjpFLpcr/bMuSn6/n2g0yubNm4lEIoRCoXVHYQiC4FzkuUAQOo9Sit7eXkKhEMPDw6Xph7Xy6HSKY/3LZIsx8WIqz7H+ZYCqgfrhw4d5/vOfzzXXXNMakRqxgvVsNsvg4CA9PT3s2LHDk0PgBQGqBOlKqS1lv04Ad5S/prWesbNgXqdTWc5vf2SuFKAr8nSpDF06xbd/PM2OZKQ0b6IVa5e7PQirJRmc2x1roZKj1pp8Pl8arl6+tF4sFqOrq6s06sLK8u9knF6+ViCOQrO44bnAtDpgmi+Y57ye78aNGznnnHMYHBwsjXishYeGE6UA3SKbL2wvD9Kh8NwzPj5eCszvu+8+7rvvPluGv6/3XBUIBPD7/SwsLLC0tMTOnTvZtGmTa+uFW8vdDKY5N+pbrSf9RxTmmylgHzBb/H8PMAQcaOiIAtCZoeBaa5aXE2xVaXpUig2+JAqNRpFL+wgGN7R0WQ9rTWu3UU+mdrc61kMmkyGfz5NMJsnn8yil0FoTCoXYsGEDsVis1EPu1nliXpuaUQlxFFqA458LTKsDpvmCec61+EajUQ4ePMjQ0BDxeLxiMt/VLKUq73et7du3b2/LPPVanqusTPDZbJbh4WHm5+dLw//dhmn1GcxzbtR3zSdqrfUBAKXUJ4F7tdb3F3+/FDjc0NGEEtb8WzvXCtRak0qlStnYl5eX+Z3oHMsZyGgfCR1EU7iIbwj7Wt4rbF0sO7nOdq1MTk7y6le/uuJr1W5AbnKsBa012Wx2xU0yHA4TiUTw+/10dXWVhqt7af3SdnwfO404Cs3ihucC0+qAab5gnnOtvsFgkP3793Pq1Cnm5+fXTcLaHfaxWCEg7w5XfxasFKjfddddLevkqee5yupVX15e5vjx4+zcuZOenh5X9dSaVp/BPOdGfWvp9rpIa/0X1i9a668rpd5f11GEM7CjYlYKyq2eT7/fTygU4in7NhfmIJXlMAj44KK9rV9vs13rajfDV7/6VT796U+fsT0Wi3HHHXdU+MRK3OBYDa01mUymFJT7fD4ikQibNm0iFosRCoVKN3ovL5lhwo1CHIUW4tjnAtPqgGm+YJ5zPb5+v5+9e/cSDoeZmJgoNbBX4qK90RVz0qH258G+vj6uuOKKUtle8pKXsGfPHm699daay7oW9T5XKaWIRArTNU+dOsXc3By7du1q6chQOzGtPoN5zo361hKkjyql3gF8ofj7y4Ez158S6qLRhe3LyefzpFIpEonEiqAcCq2LlZJzWfOMqmXzLGe9zJ/VsNa4tiuQbaZsaw1pf/3rX88f/dEf1VwGux3tIpfLkU6n0VrT3d29Iihf3QJttWp7OUhvxffR6Yij0EIc+1xgWh0wzRfc4VzPKjrrUa+vUort27cTCoU4derUmlPR6n0eXM3dd9/N0tISL3/5ywEYGRlpyfD3Rp+r/H4/sViMRCLB8ePH2b59O1u3bnV8r7ob6nOrMc25Ud9agvQrgXdRWG5FA98rbhOaoJFWlUwmU+opX1paIpFIAIXe0LWC8ko8aWu4potwrZk/18LOjOeNlq3Vy6i5Lat7JpMhk8ng9/vZtm0bPT09687hMqHFUxy9gQmODsGxzwWm1QHTfMH5zuutolMvjfpu3ryZUCjE4OAguVyuYs9yrc+Da9Hd3d3yeerNPldFIhHy+TynT59mfn6eHTt20NXV1dQ+7cTp9dkOTHO2rSe9mK31TQ3tXViT9VpVtNak02mSySRLS0ssLS2RyWRKLYKBQIBIJGJrC2E9mT8rYWWGn5+f73jZ6kkGVw92OrYKaxpELpcjFouxY8cONmzYUHMOAhNaPMXRG5jg6ASc/FxgWh0wzRec71y+io5FKqe5/ZG5hoL0Zny7uro4ePAgg4ODJBIJotHWT22EyvPUP/OZz7Bly5Yqn6pMK56rfD4fXV1dpNNpBgYG6Orq4qyzznJksO70+mwHpjnb2ZMu2MDqVpVcLkcqlSoF5cvLy6WT6fP5OrJOeb2ZP1djZy9zrWWzKzi3cHJPulWnlFL09PSwZcuWhm7QJrR4iqM3MMFRqI5pdcA0X3C+89Ry5QfxtbavR7O+4XCYc845h+HhYZaXl2vK/N4IfX19vPOd7+SnP/0pAFdffXVpez208rnKSnSbTCYdG6w7vT7bgWnOds5JF1pMPp/H5/ORyWSYmJhgaWmpFExZQ9eDwWDHk140mvnTws5e5mply+fzvOhFL6r4uVYvFeK0nvTyRHCBQIAdO3bQ09PT1NJoJrR4iqM3MMFRqI5pdcA0X3C+c2+Xn8kKAXlvV2MrorTCNxAIcPbZZ6/I/G4H73nPe8jlclx++eWlbfUOf7fjucp6nk4mk/T399PV1cX27dsdEaw7vT7bgWnO0pPuUKygKZFIEI/HicfjJJPJ0gmzgim7WjaboZnMn2BvL3OlsiVnRnngY3/LPRXe3+rg3MIJPelaa3K5HJlMBq01XV1d7N69m+7u7pbUKRNaPMXRG5jg6FWUUm8C/oLCuuuf1Frf3Mh+TKsDpvmC852PXNizYk46QNivOHJhT0P7a5Wvz+dj9+7d5PN5FhcXbQvU/X5/U/PU7XyuCofDhMNh0un0imB9veXq7MTp9dkOTHO2rSddKRUBXgWcD0Ss7VrrVzZ0RAOw5pIvLi6yuLi4YnmrQCDA4LJiMhcintaMTS8Vs2k6r72k2cyfdvYyl5ftR/ffweAP/98Z73nKU57CjTfe2PJjl9PJnnQrCRwUbjxbt26lp6enlBm1VZjQ4imO3sAERyfQ6ucCpdRvUQjQnwakgf+nlPqa1vp4vfsyrQ6Y5gvOd7bmnXcqu3s1fD4fe/bsYWhoiEQi0fLnhXIqBeof/vCH2bdvX9XPteO5yhoG74Rg3en12Q5Mc7azJ/3zwK+A5wI3Ulhq5Zf1Fc/bWD3lS0tLLC4ulgInay55efbsR6dTPDgQpytSOFH1ZkxvN81k/rSyz9vF9a98ScXtN9xwAxdeeKGtx7aw23E11rJ7Wmui0Sjbt2+nu7u7qeHs62FCi6c4egMTHB1Cq58LzgN+qLWOAyilvgtcDlRce91q8Pb7/eTz+dJDtdYapRT5fJ5IJEImkyEYDK77M5fL4fP50LrQ82ntw+/317yPbDZbsTw+n49cLkcgELBlH/l8nmAwiN/v94zTeufJIhwOO9bpD5/g59LzeltS99Y6x406RSIR9u/fz9TUFPPz82zevJlkMkkoFCKbzZb+xlrrUjnC4XAp8Vw8HicWi53xM5lMlnqpA4EA+XyeBx54gC9+8Yt89rOfBeANb3gDAPfff3/FfSQSCYLBIKlUig0bNpDL5UpO+XyeQCBAOp0mEomsWY7y8tTqND8/z+zsLDMzM+zZswe/308oFGrr96mWa5Yd36dOXCOsY0QiEc84rbcP65pVD7U82T9Ba/1ipdQhrfXnlFJfAv6trqN4jGw2SyKRYHl5mYWFBdLpNEoplFLrJnizspJv6ynMg5mPp+rKmO4mrCRl6XS6pftdKxncXXfd1fZ5/HY5llM+z9zn89nWY74WJrR4iqM3MMHRIbT6ueC/gb9XSm0FEsBlwMPlb1BKXQNcA7Br1641d2Q9qJlSBwKBgK2NtE7E8jWlUc6OcxwIBNi5cyfLy8u2Pr8AvOIVr+DKK6/k/2/vzePjOutD/eedfUayFkuyLVmW5QVCMKEuEGruD2gMXNa2TkjYwWkCBLgJhQCFAAGaQiEXQrmU5JJCSBqXNDHZLNJQSqBmuxCWgAmFkM27HceLLNtaZkYz8/7+mAVJnhnNjObMOed9v8/n4488R2fOeR+d75k533d92cteVtr2yle+ku9///tl949GoyilSCaTjpZrJuFwuJSsHzhwAK01g4ODLbm3QqEQSilrPrMg76y1JperbSJqvxMOh0vP8vWgirUNFXdQ6uda6+cqpX4I/C/gEPBzrfXqhktbJ+vWrdNbt25t1elOI5PJkEwmS0l5KpUCKCXl9dzE1/1sFA30dOQT+WMn82NvFHDpn9W/VIWXKSaRzfqgdXqm9kZotuNM5raa9/b20t7eTjDY2OQzjVKM7+KwDRMRRzPwmuNZZ531gNb6OW6Xo9k48VyglHpr4VgTwO+AlNb6veX2rfZM4LUYcBrbfME+Zyd9i0uU5XK5ljRyzH2OK/f85uRzVa2k02mmp6dnzQbvVDd42+IZ7HOe6VvPc0Et2eVXlFLdwJXAN4F24OONFtQPZLPZWUl58YOimJQvZJK34qzk7bF8F/hikl7rjOl+otiqtdAPWi8m50Wa5Vhkbqt5b28vnZ2dLWs1L0exUsDkD1NxNAMbHD1C058LtNZfA74GoJT6NLC/kePYFgO2+YJ9zk76RiIRhoeH2b17t6PrqBcpN079s5/9LGeccUZpW7Ofqxph5pj1Xbt2kUgk6O/vd2SyPdviGexzbtR33iRda31D4b8/BFrWet5Kcrlcafb1U6dOlWaWbEZSPpfirOSp6T9eqHpmTPcTC+m6k8lkOP/888v+zgvJeZFmdU/KZrOk0+nS7OwDAwO0t7fPGn/nFjZ0RxJHM7DB0Qs48VyglFqitT6slBoiPx59QyPHsS0GbPMF+5yd9N2+a5wtO8YYmwjzjPgkG5ameFp/Z8Vn3oePpRqeTLjIyMgIP/7xj/nc5z4HwAc/+MHSdvDWcKWZyfrjjz9OT08PS5YsaWo3eNviGexzbtS3ltnd/xW4TGt9ovB6JXCj1vrFDZ3RA+RyOZLJJJOTk5w8eZKpqanShDNOL4dW/DDbMxFkIp1jUYMfcn6gkb/hQw89xBVXXFH2d15KzossJE5mtpoHg0H6+vro7Oxs+bj6+fDa0oBOII5mYIOjF3DoueDOwpj0aeBSrfVYg2VbQBH8h22+YJ+zU77bd43PWCouyI6pbo7tP4XmBE9dcvqEtA8fS81a+nYhEx8///nP5/nPf37ZZdq8eH0jkQjhcJjjx49z4sQJ+vv76eysXJlRD170dRrbnBv1raUq6MfAz5RS7wOWA38LvL+hs3mA8fFx9u7dW5pxLxQKEYvFWhowZ/REedZQfuK4iYlwy87rZa655hp+9KPT5x166UtfyqWXXupCiZxj5ljz9vZ2enp6aGtr80SruSAIQg00/blAa/2CZhRMEITa2LJjbNZa7hrF3kwH334yxerFGbLZ7KxGg+LExzNZ6MTH5bq/f/e7323oWE6jlCIej5PJZNi3bx/Hjx9nYGDAcw0rgjnU0t39n5VSvwO2A0eBP9VaH3K8ZA6RzWbJ5XKOjCupBxu6etTiWGm8+T/+4z+yZs2aZhep6dRzHbXWpTFWPT09LF68eNbyfF5lvsklTUAczcAGRy/g5ecC22LANl+wz9kp36MT5buV75mKsmbNSvbt28fk5GSpd+l4qvzzTqXttTI3UX/JS17ClVdeydlnn72g4zpFcbb9qakpHn30UZYsWUJvb2/DDS22xTPY59yoby3d3d8CfAzYDDwT+JZS6iKt9W8aOqMAYMWSKdUcKyXnd911V8tnL18ItV7H4mSE3d3dLF26tDQxih+woYVfHM3ABkcv4OXnAttiwDZfsM/ZKd/etiBHyiTqvW1BotEoq1at4tChQ4yOjhKLxUoTH8+lGRMfj4yMsHfv3tI66p/61KdK271KLBYjl8tx+PBhjh8/zvLly2lvb6/7OLbFM9jn3KhvLRnG+cDztdaHgVuVUncDNwPrGzqjADi7rrZXKOfo5ZnaG6GW65hKpchmswwODtLV1eW7sThemsTFKcTRDGxw9AiefS6wLQZs8wVnnYsTqR2dyNLbFmTz+i42rqo/8WomTvluXt81Y0x6nmhQsXl9F5CfkXpgYIBEIsGBAwd4bn+IH+xNz+ry3syJj4eGhsp2f2/k+bAZE9zVQiAQIJFIMD09za5du+jq6mLZsmV1NcTIPWw+jfrW0t393Dmvf66Uem5DZxNKFJfUKq65biIzHU1LzotUu46ZTIZ0Ok08Hmf58uWuLqO2EGxYz1IczcAGRy/g5ecC22LANl9wznn2RGpwZCLLtfePAriaqDvlW3SqVimhlKK7u5tYLEZozx7I5fj5kzlHk9/vf//7nHPOOaXXmzZtYtu2bTU3cDRzgrtaCYfDhEIhTp48yalTp1i6dCmLFy+uqcxyD5tPo761dHePAW8F1gEzs4yL6zqTMIviMm9u4nRN4+joKK9+9avL/s7vyXmRyclJcrncrGX7ID/+JBwOMzAwQHd3t+9az2cyPT3tdhEcRxzNwAZHL+Dl5wLbYsA2X3DOee5EagCprGbLjjFXk3Qnr/HGVe01ucXjcdauXUs8foChjpPE43HHuixPTk7yrW99i4985CPs2LEDgHPPPZdLL72Ul770pfO+34kJ7mqhOLFcNpvliSeeKE0sN98cWHIPm0+jvrV0d/9X4A/Ay4C/B94EPNTQ2YQSxZv2xIkTrpzfyZrGX/3qV1x11VWnbQ+FQtx5550LOraX0FoTCoXQWtPX10dPT09pvfNwOEw0GvV1cl6k2G3L5O5J4mgGNjh6BM8+F9gWA7b5gnPOlSZSq7S9VXjlGodCIYaGhjhy5AhPPvkksVjMkTmEis/HV111FSdPnuQtb3kLANdddx3XXXfdvI08Tk1wVyvBYJBEIkE6nWbnzp309PTQ19dXcQ4jr1zfVmKbc6O+FZN0pVRIa50B1mqtX6OU2qS1vlkp9W/A6WtlCXXhdku6EzWNV111Fb/61a9O237RRRdx7rnnNnRMr5JOp5menqatrW3Wh28oFDJuOQ4bajzF0QxscHQTPzwX2BYDtvmCc87VJlJzEy9dY6UUS5YsIRwOs3//fkda1Gc+H3d0dNQ9Tt3JCe7qobi2+ujoKGNjYwwMDNDR0XFa442Xrm+rsM25Ud9qEfvz4rELP8eUUs8AOoElDZ1NKJFIJFxdBq6ZNY2bNm1i06ZNpyXot956K9///veNStCz2SwTExOEQiFWr17N8PBwQ7N5+olwOOyr2egbQRzNwAZHl/H8c4FtMWCbLzjnvHl9F9Hg7ARq5kRqbuHFa9zd3c3AwABTU1NNX1K43PPx3KR806ZNFROfDSvihOZkN82c4K4eil3gg8Ege/fuZffu3afNYeTF6+s0tjk36ltLd/evKKW6gSuBbwLt5JdeERaA2y3pzahprDQZXHGCj3A47Lpns9Bak0qlUErNmqXdhtpAcTQDcRSaiGefC2yLAdt8wTnnWiZScwOvXuPiEL8nn3ySRCLRtOF9lZ4bR0ZGuOGGG7jnnnsAuOCCC7jgggtK3eGLFHuDtmJ291qptra6V6+vk9jm7MSY9CVKqfcV/n9R4ed1hZ9tDZ1NKOH2mPQNK+KzxqRD7TWNtc7U7rZjs8jlckxNTdHR0cHAwMCs2jAbxtWIoxmIo9AEPP9cYFsM2OYLzjrXOpFaK/HyNe7r6yObzXL06NGmJerVnh3f9ra38Za3vIXXvva1ANxxxx3ccccdpz1/ntETdTUpr0S5tdV7e3sBb15fp/ByTDtB08ekA0HytePl7jhdZptQB263MDdS01jvMmpOOLZq7csi6XSaTCbDwMBA2eU0bKgNFEczEEehCXj+ucC2GLDNF+xz9rKvUoply5ahtebYsWNNSdTne3aMRqNNW0/dDeaurT4+Ps6SJUscmy3fi3g5pp3AiZb0J7TWf99YcYT58EIrcy01jVNTU7z+9a8v+7v5PhCb7diqtS+11qTTabLZLNFolOHh4YprnNtQGyiOZiCOQhPw/HOBbTFgmy/Y5+x1X6UU/f39ZLNZTpw4seD5lmp9diyXqN9yyy2+mSeouLZ6LpfjySefJBKJ1Ly2ut/xekw3Gyda0s2PEhdJJpNuF6Equ3fv5j3vec9p21/+8pfzrne9q6ZjNNvR6bUvp6enS7VdnZ2ddHd3k0gkqtZuZjKZBZ/X64ijGYij0AQ8/1xgWwzY5gv2OfvBVynF8uXLyeVynDp1akGJej3PjiMjI9xzzz3ccMMNALzpTW/iec97HldccUXD528lSim01mQyGY4dO1bz2up+xw8x3Uwa9a2WpL+4saIItRCJRABOm+XRbe69916+8pWvnLb9s5/9LGeccUZdx2q2o5NrXyaTSUKhEIODgyxatKjmtT+L+5n8gSOOZiCOQhPw/HOBbTFgmy/Y5+wX30AgwODgIHv37mVqaqpiD8T5qPfZ8S//8i951atexXnnnQfAT3/6U191fy/6ZjKZmtdW9zt+ielm0ahvxauvtR5dWJGEangtMD/84Q/z+9///rTtt912G/F4Y8tWNNvRqbUvU6kUoVCIVatW1b1EQrOXHvEi4mgG4igsFD88F9gWA7b5gn3OfvINBoMMDQ2xe/dukslkQ4l6I8+OgUDAt+PUZ/rWura63/FTTDeDRn3tmaXAYwQCAU9MElFc43xugj4yMsLIyEjDCTo037HZa19mMhkmJycJBAIMDw83tIahUsq4D8+5iKMZiKNgA7bFgG2+YJ+z33yDwSArV64kHA431JNyIc+O5dZTP3z4cEPHahVzfWeurb5v376ya6v7Hb/F9EJp1NeVfhRKqfcAbyc/vu2rWuv/40Y5bKbemdq9QDPWvpw5KVw4HKa/v5/Ozk5juxQJgiAIgiC0klAoxMqVK9m1axepVIpotHXLoY2MjHD//ffzmc98BoC3v/3tDA4Oct11183zTm8xc231xx57jL6+vtLa6oIdtDwzUUo9g3yC/lwgDXxbKfXvWuvHWl0WN9G69avVaK0599xzy/7OieTcCcd61r4sju8BSjVYWmva29vp7e2lra1twTV5blzHViOOZiCOgg3YFgO2+YJ9zn71jUQiDA8Ps3PnTtLpdGns9Xw0w3fDhg2zur/v37/fs93f5/Mtt7a6X2awr4RfY7pRGvV1o/nwTOBnWutJAKXUD4BXA5+t9IZAIEAoFCIYDJLL5WYlXIFAgGw2SygUYnp6mnA4XPVnW1sbiUSC9vb20hiBQCBAJpMhEomQSqWIxWJMTk6SSCRO+zk1NUU8HieVShEOh8lms6Xy5HI5QqEQ6XS66jEmJyfp7OwknU4TDAbJZDKlmjGtNcFgkOnpaaLRaOl8lY6VTCaJRqOk0+nSUg5znY4dO8YFF1xw2t919erV3HjjjU1zKpYnEomQyWRmfYg026nadYrH44yNjbFo0SLa29uJxWIopUoxVOxaVGvcZDKZirEXDAZLZZwv9op/20AgULphlVLkcrnS36eWY1QrTzOc5h5DKUU4HK7o6EenuT/nOprgNPdnMBic1eXKBKe51ykSicz6DHXbSWg9trUy2eYL9jk76bt91zhbdoxxdCJLb1uQzeu72LiqeQlgNBpl1apV7Nq1q+ZEvdaJe2vBD+PUa/Gdu7Z6V1cXS5curbniw2vIPVzj+5pcjlr4b+AFSqkepVQCeCWwYu5OSqlLlFK/VEr9cnTU83PV1E0mk2l4cfta+f3vf8/GjRtPS9A/8IEP8P3vf59rr73W0fNnMpmWT5A3PT1NKpWiq6uLoaEhuru7aW9vJx6PE4lEmvrhD/lKDNPXecxms+JoANls1vjJWmy4H4Xq2HAvz8Q2X7DP2Snf7bvGufb+UY5MZNHAkYks194/yvZd4009TywWY9WqVSilalpebeZyuM2g3Dj1xx7zTufdenzD4TCJRIKTJ0/yyCOPcOjQIcdzCSeQe7g2lBu1/UqptwL/C5gAfgektNbvrbT/unXr9NatW5ty7hMnTrBv3z7X1yDs7OwslafZbN26lX/7t387bfv1119Pf39/089XCScd55LNZkkmk8Tj8ZauMVmcudTr694vBHE0A3FsPWedddYDWuvnuF0O06j2TOC1GHAa23zBPmenfC+6ez9HJk5PHPragtx03mBTzwX5ZHTfvn2lHo+Vhhs69ez4yCOP8Ld/+7eztnmhVb1R31wuV5pQrre3l56eHt/Mr2TzPVzPc4ErV1Nr/TXgawBKqU8D+90oh5tMTU01/Zjvete7OHjw4Gnb77jjjoZmLl8oTjjORWtd+pAaGBhg8eLFLZ0x0o81mPUijmYgjoIN2BYDtvmCfc5O+R4tk6BX275QwuEwK1eu5MCBA5w4cYJEIlH2ec2pZ8enPvWpnuz+3qhvIBAgHo+Ty+U4evQoR48epa+vj8WLF3s+WZd7uDbcmt19idb6sFJqiPx49A1ulMNNikubFSc2Wwhenam9mY7l0FozOTlJR0cH/f39rozNKVZ+zNeNxelxX05Sq2MRP7rW6+hHxFGwAdtiwDZfsM/ZKd/etmDZlvTetuYOC5xJMBhkxYoVhMNhjh49SjweP228rtPPjl5L1BfqOzNZP3z4MEePHmXJkiV0d3c3fYhns5B7uDbcqmq5UynVA0wDl2qtx1wqh2tMTk4u+BheTc6LNMOxErlcjqmpKXp7e1m2bJlr6y3WUjtWHPeVyuaHlhTHfQGeT16hvhpAv7raUKsrjoIN2BYDtvmCfc5O+W5e3zXr+xogGlRsXt/lyPmKKKVKDSsHDx4kGo3Oavl18tmxyMjICG9/+9tLa6hv2rSJj33sYzznOa0fndQs3+LkcrlcjkOHDnHkyBH6+vo8mazLPVwbbnV3f4Eb5/USxTHTjYxBOe+888r+zivJeZFGHcuRy+WYnp4u1UIFg0FXurfPpZbasS07xmZ9CQKkspotO8Y8nbgWqacG0K+uNtTqiqNgA7bFgG2+YJ+zU77F72S3er719PQQDofZv38/2Wy2tJZ6M58dq/HVr36VQ4cO8Y53vAOAT37yk0Drn6Wb7VtM1rPZbClZX7p0KV1dXZ6ZVV3u4drw9qAFg6m35uzUqVO8+c1vPm37m9/8Zl7zmtc0q1hNpVm1g+l0mkwmQ0dHB4sWLSIejxONRl1NzovUUjvW6nFfzaaeGkC/utpQqyuOgg3YFgO2+YJ9zk76blzV7moFekdHB6tXr2bv3r0kk8nS0rqtYtmyZa53f3fKNxgMlpL1gwcPcuTIEfr7+1m0aJHrz89yD9eGN6pULCSRSNQ0A/nDDz/Mpk2bTkvQP/3pTzMyMuLZBB1qd6zG9PQ0uVyOtWvXlpZUK6577gXC4fC8k/JVGt/l5LivZlKLYxG/utbj6FfEUbAB22LANl+wz9l031gsxurVq2lra2NiYoJ4PN7yFZjKLdPWqiVLm/GsXI1isq6UYs+ePezevdv1WdVNj+m5NOorSbpLTE5OVq0927ZtG5s2beKDH/zgrO0333wzIyMjrFu3zukiLpj5HOejuM768PBwafkCr1HL+pab13cRDc6uVGjFuK9mUc8ann51bfa6rF5EHAUbsC0GbPMF+5xt8A2FQgwNDdHX18exY8cYH2/uWu21MDIywtlnn116fd555/Ef//Efjp93oc/KtRIKhWhrayOZTPLYY4/xxBNPkMlkHD9vOWyI6Zk06ivd3V2i0hiUr3zlK9x7772n7X/33Xd7ZixJrSxknE02myWVSnEo2Mc1/znK0YkjLR0vVesM5bWMM3F73NdCqWcsjV9dbRgfJY6CDdgWA7b5gn3OtvgqpVi2bBk9PT0cPnyYZDLZ8tbWK6+8kpMnT/KWt7wFgOuvv57rr7/e0e7vrRqDXyQajaK1ZnR0lOPHj7N06VK6u7tbmmPYEtNFZEy6z5jb1eQd73gHhw4dOm0/r00GVw+NdqfJ5XIkk0meCPTwz79Jt3ym8HpmKK+1ZsztcV8Lod7aPz+62lCjK46CDdgWA7b5gn3OzfD12tKo1coTi8Xo6+vj5MmTpFKp0oRyraKjo6Ol49Td6HqulCIej5PNZnniiSc4fPhwSyeXk3u4NvzVNGsQ0WiUaDTKpk2b2LRp06wEfWhoiJGREV8n6PBHx3qYnp5mamqK/v5+bn0kV3GmcCepNkP5XGwYVyOOZiCOgg3YFgO2+YJ9zgv1LTY8HJnIovljw8P2Xa3vUl5LecLhMB0dHaxZs4ZgMMjU1JQr5Sw3Tt2J5LKRZ+VmURyvHgqFOHjwII888gjHjx93fDy+3MO1IUm6C+RyOTZu3MjGjRtnbT/33HMZGRnhS1/6kkslay7pdJp0Ol3TvrlcrjQmZ/Xq1fT29ro2U3g9581ms8Z31xFHMxBHwQZsiwHbfME+54X61tPw0ArmK0/RNxKJsHr1ahKJBJOTk2ityxzNWUZGRnj1q19den3BBRewbdu2pp6jnmdlpygm64FAgAMHDvDoo48yNjbm2N9c7uHakO7uLWRycpI3vOENp23/8Ic/zIYNG1wokbOEQrWFVzqdZnp6miVLltDb20swmJ8JvLctyJEyibHTM4XXc16/zRPQCOJoBuIo2IBtMWCbL9jnvFBfry2NOl95ZvqGQiFWrlzJE088wejoKPF4vOXX/8ILL+SNb3wjF1xwAQA33XQTN910U9N6u9b6rNwKQqEQoVCITCbDvn37St3gOzo6mrqqktzDNb6vyeUQynD06FE2bdp0WoJevMlNTNAh3zperctMsfU8GAyydu1ali5dWkrQwb2Zwus5r9baldrdViKOZiCOgg3YFgO2+YJ9zgv19drSqPOVZ65vIBBgYGCApUuXMjU15UoLbDgcLtv9vRnM96zsBsWZ4LXW7Nu3j0cffZSTJ0827b6Te7g2JEl3kCeffJLXve51vPWtb521/fbbb+e+++5jcHDQpZK5i9aaZDJJKpVi2bJlrFmzhng8ftp+G1e1c9mGxfS1BVFAX1uQyzYsdnyyE7fOKwiCIAiC0Ey8tjRqI+VRSrFkyRIGBwdJJpOudZUul6i7NWa+FYTDYRKJBFpr9uzZw+OPP86pU6esSrDdxDt9LAzikUce4W//9m9nbXv605/Opz/96VJ3ERu6epRzzGQypFIpOjo66O/vJxKJVD2GWzOF13reZnb/8SriaAbiKNiAbTFgmy/Y57xQX68tjTpfear5dnd3A7B//35isdis3petYmRkhB/+8Id8/vOfB+D1r389F1544ayx6/Xgh3ygOPHZ9PQ0u3fvJpFIsHTpUtra2hqKT7mHa0OS9Cby05/+lKuvvnrWtve+972nTRAH+WTVdGY6Ftc9L44vWrRokRE3qde6KDmBOJqBOAo2YFsM2OYL9jk3w9drS6NWK898vjMTdTfGqAO88IUv5AUveAHnnnsuADfffDM333xzQ+PU/ZQPFJP1dDrNrl27aGtrKyXr9SD3cG1Ikt4E7rnnHm644YZZ2z75yU/yzGc+s+J7ii3IbqyP2CoikQhaa0ZHRwkGg/T399Pd3e2LWsNaKdbimrzmoziagTgKNmBbDNjmC/Y5i+/peCFRV0o1ZT11P+YDkUiESCRCOp1m586dtLe3s3TpUhKJRE3vl5iuDUnSGySXy3HDDTdw7733ztr+pS99iaGhoXnfn0qlnCqaJ9BaMzY2BsCSJUtYvHixp2awbBY2fMCIoxmIo2ADtsWAbb5gn7P4lscLiTrku7+/+93vZu/evUA+Ub/55pvp6uqq6f1+zgcikQjhcJhkMsnjjz/OokWLWLJkybzJusR0bZiXNTlMOp3m6quv5oEHHihtW7JkCZ/73OdqviEBYrEY4O+bsxxaa9LpNNlslpUrV9Ld3e2rrjz1Eg6HAYxe71EczUAcBRuwLQZs8wX7nMW3Ml5J1L/0pS/x2GOP8f73vx/IL9v2qle9iksuuWTe9/o9H1BKEY1GiUQiTE1N8fjjj9PZ2UlfX1/ZSaFBYrpWJEmvkZMnT/KhD32IgwcPlrY985nP5MorryQajdZ9vMnJyWYWzxOkUimy2SwdHR0sWbKktHyDydhQGyiOZiCOgg3YFgO2+YJ9zk76bt817pkJ5YrU69vd3Y3WmgMHDriaqK9du3ZW9/d7772Xe++9d97u76bkAzOT9fHxcU6ePFlK1osVEUXkHq4NSdLn4cCBA1x22WWzBv2/7GUv4x3veMeCZpUsdgU5ceLEgsvoNtPT06TTadra2li2bFnJzYaaMnE0A3E0AxscherYFgO2+YJ9zk75bt81zrX3j5LK5htTjkxkufb+UQBXE/VGfBcvXgzgeqIO1D1O3aR8APLJeiwWQ2vNqVOnOHHiBJ2dnSxZsqTUqCn3cG1Ikl6Bhx56iCuuuGLWts2bN3P++ec35fgm1JxprZmamiISiTA8PEx7e/usGdttqCkTRzMQRzOwwVGojm0xYJsv2OfslO+WHWOlBL1IKqvZsmPM1SS9UV+vJeqf+tSn+MUvfgHkE/Xrr7+e/v7+0/Y1IR8oR7lkvbu7m76+PleWznMTaUlvEj/60Y+45pprZm37wAc+wAte8IKmnsfvNWfZbJZkMklPTw/Lli0r+2FoQ02ZOJqBOJqBDY5CdWyLAdt8wT5np3yPTpQ/XqXtrWIhvl5K1K+88kqeeOIJ3vnOdwLwzne+k7PPPpsrr7xy1n5+zwfmY2ayPjY2xvHjx1m5cmVd83j5HWlJXyB33nknW7ZsmbXt6quv5swzz3TkfH6uOUulUuRyOYaGhujs7Ky4nw213eJoBuJoBjY4CtWxLQZs8wX7nJ3y7W0LcqRMQt7b5m4r50J9vZSo9/f3z+r+/otf/OK07u9+zgfqQSlFPB5Ha82hQ4d44oknWLRoEb29vaUk1lSkJb0BstksX/7yl7nvvvtK24LBINdeey0DAwOOntuvNWfF7u1DQ0PzTphnQ223OJqBOJqBDY6mopS6HHgboIHfAhdpreteONi2GLDNF+xzdsp38/quWWPSAaJBxeb1XU09T700w9dLiTpUH6fu13ygUZRSLF68mFwux+HDhxkdHaW3t5fFixcbm6xLS3odJJNJPv3pT/Pb3/62tG358uVcffXVdHR0tKQMU1NTLTlPs/jD0SS/2TfGoVSU8dgi3hyaZuOq6km6DbXd4mgG4mgGNjiaiFJqOfA3wNO11lNKqW8Arwf+pd5j2RYDtvlCc5y9OKt5JZy6xkVfJ/8O9f6dt+8a55uPPMnoZI4A2QWVZ2aiHovFXB8HPTIywle/+lX+/d//Hcgn6tdccw3r1q1ztVxuUMyB4vE4uVyOo0ePcvToUfr6+li8eDGhkFnpqbSk18jmzZvZuXNn6fWzn/1sPvShDzW0jNpCKK4dmE6nW3reRvjD0SS/2H2co5k4u3Pd6Eld0wygNtR2i6MZiKMZ2OBoMCEgrpSaBhLAwXn2L4ttMWCbLyzc2auzmlfCyWu8cVW7Y871/p2L+69duohlnfC7gycXfF0WL15MMBhk3759RCIR15O/t7/97bzmNa/hwgsvBPJzXg0NDbFlyxZf5APNYmYOFAgESsn6kSNHSsl6d3e369erWUhLeg3s2bOnlKD/xV/8BW9961td6wKTSqVcOW+9ZDIZfrtvjEOZNvbnutDkZ2+vZQbQTCbTqmK6hjiagTiagQ2OJqK1PqCUugbYC0wB39Faf6fS/oFAgFAoRDAYJJfLlVYV0VoTCATI5XLEYjGmp6cJh8Pz/sxmswQCAbTOJxNKKXK5HMFgsOZjZDKZiuXJZrOEQiFHjpHL5QiHwwSDQWOc5rtOxeNEo9GGnH58IENfR4xQQBFQilQmR3s0xL2PTfGKM3tdcap2nSpdY69fp+/tOcbSzjjhYIDJdIbuRITDp5L8/FCOl6w93eXnh3K0xcL0tEUYnUjzlCXtTE1n2b43zcvOiDTs1NvbS1tbGwcOHCAQCJQ+G6LRKFNTU8TjcSYnJ0kkEqf9TCaTRKNR0uk0oVCotBxzIBAgk8kQiURIpVLEYrGKxyieI5VKEQ6HSSQSfPe73+UlL3kJAHv37uWcc87h+9//fsVjzCxPJBIhk8mU8hetdSle3HLKZrOluMnlcoRCIdLpdMVjRCIRkskknZ2ds5wWLVpELpdjfHycVCpFR0cHvb29ZLNZX3+Wz/zMqgd3B2m0mJUrV/K9732PW2+9lbe//e2ujlEJh8OeH3uRTCbzSXpyMfty3aUEvch8M4AGg0HXuxc5jTiagTiagQ2OJqKU6gY2AauAAaBNKfXmOftcopT6pVLql6OjoxWPFQwGXR9/2kpsjPmFOh+fLP/sMlphu9v49Rofn8yV3T6WLP93Lm5vi4Zoj/2xDbHS9aqHRCLBihUryOVynhki8t3vfnfW63POOaeUMJtOKBSq2EpebFkPhUIcOXKEPXv2cPz4cV//bRr9XrKqJR3qr8VwCi93TcvlciSTSdra2li+fDnhhw9DAzOA+vmGqhVxNANxNAMbHA3lJcAurfURAKXUXcD/AL5e3EFr/RXgKwDr1q3TmUymas+J4oN48bt2vp/NOEa18hR/1+xjFFttstmsMU7VfsIf7/OiS71Oxyemys5q3tcWJJlMuuI0l5lO1a6xl6/TZCo16+/8xIn831bpLNls92nvOTQ2wehElt8eyE+gtv94ftxyX1vwtK7gjTgFAgGWLl3K7t270VqX8oHisYsTt839Wa3nazFeivtUOkbxHMX9i4yMjHDvvffyla98Bcj38v3EJz7Bs571rAWVx02nmcx3jOLM9pXKo5RifHycY8eOceDAAZYuXUpXV1epVRv88VlebNmvt4LInupmjzGz+4OXSCaTJJNJli1bxvDwMJFIhM3ru4gGZ5e1lhlAverYTMTRDMTRDGxwNJS9wAalVELlL+CLgYcaOZBtMWCbLyzcudFnGrfw6zWu9+9c3D8UyP+bb/9GiMVirF69mlAo5JkJnF/72tdyzz33lF5fddVVnHfeeS6WyHnqielgMEgikSAUCnHw4EEeeeQR37WsN3oPS5IuAPman4mJCeLxOGvXrqW3t7cUUBtXtXPZhsX0tQVR5Gs1L9uw2JMTrAiCIAj+Qmv9M+AO4Ffkl18LUGg1F4RmI880raHev3Nx/962EEGlHLsukUiEVatWEY/HPZOox+PxWWun53K5WUu2CX9M1gOBAAcOHOCRRx5hbGzMV8l6vVjX3d0reCWotNYkk0kCgQArVqygs7OzbG1PIzOAFrt3mIw4moE4moENjqaitf4E8IkmHKcJpfEPtvlCc5ydnNW82fj5Gtf7d964qp2XPjU/X5OTY8dDoRArV65k3759jI+PE4/HXeutMDMfKLee+h133OH5OazqZSE5UHE8eyaTYf/+/YTDYZYtW0ZHR4dne5w0eg9LS7pLVJs0oVVkMhkmJyfp7OzkKU95Cl1dXU0N8EAgYPwEPuJoBuJoBjY4CtWxLQZs8wX7nMXXGYLBIENDQ3R2djI5OelaZcjcfGBkZITLL7+89PqCCy7gv/7rv9wommM0IwcKhUIkEgmUUuzbt49HH32UEydOeLJSq9GYtueu9xjpdNq1NRGLreeZTIahoSEGBwcdqTCYOcmJqYijGYijGdjgKFTHthiwzRfscxZf5wgEAgwODtLT0+Naol4uHzjnnHO48847S6+/+MUvGtX9vZk5UDFZ11qzb98+HnvsMU6dOuWpZL3RmJYk3SVisRixWKzl581ms0xOTtLW1sbatWvp7Ox07Fxe6C3gNOJoBuJoBjY4CtWxLQZs8wX7nMXXWZRS9Pf3s2TJEiYnJ1s+HLVSPhAKhWaNUweMSdSdyIGKa9Dncjn27NnDzp07GR8f90Sy3mhM23PXe4zisgOtJJVKkcvlGBwcbHrX9nJ4ZS1KJxFHMxBHM7DBUaiObTFgmy/Y5yy+zqOUYunSpaUZxGOxWMvWpp8vHxgZGeE1r3lNqeV506ZN3HrrrSQSiQWd9+FjKe7fN8V4Kkd7NMCGFXHO6GnNMtVO5kDhcJhwOEw6nWbXrl0kEgmWLl1KW1uba2PWG41pSdJdonhzFdcKdJJcLsfU1BTt7e0MDAw0ba347bvG2bJjjKMTWXrbgmxe3zVrgpDiRBcmd9MSR38yN3bf/+fLec5A3CjHuZh4Hedig6NQHdtiwDZfsM9ZfFtHT08PwWCQffv2EY1GW9KiX0s+cPvtt7Njxw4+8Yn83JpveMMbeM973sOLXvSihs758LEU23dOkCl0GjiVyrF95wRASxL1VuRAkUiESCRSStbb2tpKyXqraTSmpbu7S0xOTrakNT2VSpFKpRgYGGB4eLipCfq1949yZCKLBo5MZLn2/lG27xov7TM9PW18DbA4+o9ysfuFHx5i+2NjbhfNUUy7juWwwVGojm0xYJsv2Ocsvq2lq6uL4eHhlpWj1nxg/fr1bNu2rfR6IePU7983VUrQi2Ry+e2toFU5EOST9ba2NlKpFDt37mT37t0t783caCxJku4SiURiwV1VqpHL5ZicnCQSibBmzRp6enqa2s1jy44xUtnZ4zxSWc2WHWOl18UuJyYjjv6jXOz2dcb44T53JnJsFaZdx3LY4ChUx7YYsM0X7HMW39azaNEiVq1aRTabdXyS53ryAaVUU8apj6fKj7uvtL3ZOJ0DlSMajZJIJJiammLnzp3s2bOHqanWVEo0GtOSpLuEk7VI6XSaZDLJ0qVLWbVqlSMT1B2dKN9lY+Z2t2tDW4E4+o9ysbv/+BT//cR4mb3NwbTrWA4bHIXq2BYDtvmCfc7i6w6JRILVq1cD+V6pTtFIPjAyMsJLXvKS0utNmzZx6tSpmt/fHi2f/lXa3mxa2ZI+E6UU0WiUeDzOxMQEjz32GHv37iWZTDp6XmlJ9xlO1CIVW8+DwSBr1qyhr6/PsbUme9vKT6gxc7sXakOdRhz9R7nYHeyO84z+9jJ7m4Np17EcNjgK1aknBrbvGueiu/fzl1/fw0V37581XMsv2BjztjmLr3v3aiwWY/Xq1QSDQccS9UbzgXe/+918+ctfLr1+85vffForeyU2rIgTmpMehAL57a3AjZb0mSiliMViJBIJxsfHeeyxx9i3b59jybq0pPuMZtciTU9Pk0wm6evrY82aNcTjzt5om9d3EQ3O7j4fDSo2r++aVSYv1IY6iTj6j3Kxe+REkheuiLhUotZg2nUshw2OQnVqjYFa5lXxAzbGvG3Otvu6fa9GIhGGh4cJBAKOJOoLyQcGBgZmJeY33nhjTd3fz+iJsnF1G4uiARSwKBpg4+q2ls7u7kZL+lyKyXo8HufUqVM89thjHDhwoOnXWVrSfUazapG01kxOTqKUYvXq1SxdutSx1vOZbFzVzmUbFtPXFkQBfW1BLtuw+LTZ3U2v/RVH/1Eudi9/4TI2ru1yu2iOYtp1LIcNjkJ1ao2BWuZV8QM2xrxtzrb7euFeLSbqSqmmj1FvRj7QyDj1M3qiXLi+i0v/bDEXru9qWYIO7rekz2Vmsn7ixAkeffRRDhw40LRr3eg9LEuwuUQzulRMT0+TTqfp7e1lyZIlLVvTscjGVe2zkvK5ZDKZFpbGHcTRn8yN3VAoZKTnTEz3AzscherUGgO1zKviB2yMeducbff1yr0ajUYZHh5m586dTE9PN63ipFldrEdGRrjlllv4xje+AeQT9a997Wv09vY25fjNxOkx4I1STNa11oyNjTE2NkZvby9Lly5d0HEbvYelJd0liuv3NUKx9Rxg9erV9Pf3tzxBr4VgMOjJcjUTcTQDcTQDGxyF6tQaA7XMq+IHbIx525xt9/XSvRqLxRgeHiaTyTSt8mQh+cBc3vSmN3HTTTeVXr/1rW/l5ptvbsqxm0kznZ1AKUU8HicajTI6Orrg4zV6D0uS7hKN3uDT09NMTU3R29vL2rVraWtrc6B0zSGXy5HLtWY5B7cQRzMQRzOwwVGoTq0xUMu8Kn7Axpi3zdl2X6/dq4lEguHhYdLpdFMS9WYm/ACLFy+e1f39rrvuang9dadotrNTNGvp6kbvYUnSXSIQCNQ1dnzu2PNly5Z5vmZVKdXUtdm9iDiagTiagQ2OQnVqjYFa5lXxAzbGvG3Otvt68V5ta2tjaGiIVCpFNruwbvf15gO10oz11J3CKWev0ug9LGPSfUBxVsC+vj5Hl1UTBEEQBFuYb14VQRC8gRfv1Y6ODlasWMG+ffuIx+OefDYfGRnhW9/6Fv/8z/8M5BP1G2+8kZ6eHpdLJtSC9yLKErTWaK3n3WdqagqgpTO3N4taHGfixzVr63X0I+JoBuIo2IBtMWCbL9jnLL7epauri4GBAaamphoekuC07ytf+Uq2bt1aen3xxRdzzz33OHa+WvDTNW4Gjfr6J+MzjPkmEchkMkxOTtLV1cXatWs9tVRBrdTTncXtdTAbxYYuO+JoBuIo2IBtMWCbL9jnLL7epqenh2XLljE5OdlQItaKiQFjsdis7u833HADF1xwgaPnrIZtkyE2GtP+uQsMo9LC9lprkskk2WyWlStXsnz5ct8GcjabrXmsjhfWwWyEehz9ijiagTgKNmBbDNjmC/Y5i6/3KS6F3EiiXikfcIKRkRFe+MIXls67adMmV1q0W+nsBRqNaUnSXSIajRKNRmdty2azTE5O0tbWxtq1a+no6HCpdM0hFAoRCtU27YFX1sGsl3oc/Yo4moE4CjZgWwzY5gv2OYuv91FKsXTpUnp6eupO1MvlA07y/ve/n6uvvrr0+txzz+XkyZMtOz+03tltGo1pSdJdYmpqqjTevNh6Pj09zYoVKxgaGiIcDrtcwoVTT02Zl9bBrAcbagPF0QzEUbAB22LANl+wz1l8/YFSiv7+frq6ukrP97UwMx9oFWeeeSZ33HFH6fVb3vIWHnzwwZad3w1nN2k0piVJd4l4PE48Hp/Vev6UpzyFrq4uY5baCIfDNVc2eG0dzFqpx9GviKMZiKNgA7bFgG2+YJ+z+PoHpRTLly9n0aJFNSehxXyg1YTDYUZGRnjlK18JwMc+9jFuuummlpzbLWe3aDSmXelPopS6HHgboIHfAhdprZNulMUtJicnSaVSpdbzzs5OY5LzIvPVGm3fNc6WHWMcncjS2xbkxasT/OJgsvR68/qupi25MfdczTq2H2t760Uc3aHZMetFx2Zjg6NQHdtiwDZfsM9ZfP1FIBBgcHCQPXv2MDU1NW8yOjk52aKSlecd73gHZ599NldddRXbtm3jvvvu4+tf/7qjk/e57dxqGo3plrekK6WWA38DPEdr/QwgCLy+1eVwk2w2i1KKnp4e1q5da1Tr+Uyq1RyVm839ezsn2by+i3vevJKbzhtsaoLu1Mzxfq7xrRVxbD1OxKzXHJ3ABkehOrbFgG2+YJ+z+PqPYDDI0NAQkUiEZLJ6G2QikXB9BadnPetZ3HzzzQBMTExw3nnnMTo66tj5vODcSnzVkl44b1wpNQ0kgIPVdg4EAoRCIYLBILlcrpTQaq0JBAJks1lCoRDT09OEw+GqP9va2kgkErS3t5fWNAwEAmQyGSKRCKlUilgsxuTkJIlE4rSfxVqxVCpFOBwuJdwAuVyOUChEOp2ueIxQKMT4+DgDAwPEYjGUUgt2KpYjEAiUJqsoHjcYDNZ8jEwms+C/8dxjaK0Jh8OnHePnh3LEoyGe0h1n//EpBgs/f34ox0vWBpvq9OMDGfo6YoQCioBSpDI52qMh7n1silec2bugv4vWuhSbfr5O1Y6Ry+UIh8MVHf3oNPfnXEe3nUYefpKnLFvEkydTLE5EGE9liIYCbN+b5qVPPf1+qqU8xXNHIhHfXqdaYy8Wi3nCSWg9fm+FqxfbfME+52b4OtWb0AlMub6hUIjh4WF27txJKpWqOFGaV1qVu7q62LZtGxdddBHHjx/noosu4sorr+Tss89u+rm84twqfNOSrrU+AFwD7AWeAE5orb8zdz+l1CVKqV8qpX7pZG1Oq8jlckxOThKNRlm9ejXd3d2+rymcj1AoVNFxLFl+1vZK2xfC8cnyxxytsL0e/DgLab2IY+s5ViE2K8VyLYTDYU85OkG1zxzBDkxohasH23zBPueF+jrZm9AJTLq+4XCYVatWoZQinU6X3cdLrcpKKf7lX/6ltIb6pz71Ka677rqmn8dLzq2g0ZhWra7tV0p1A3cCrwPGgNuBO7TWX6/0nnXr1umtW7c25fwnTpxg3759LQ2OdDpNJpOhv7+fxYsXo5QqrX3ut7Ug66Ga40V37+dImeXV+tqC3HTeYFPL4eS5bL+OpuA1Rydi1muOTuA1x7POOusBrfVz3C6HaVR7JvBaDDiNbb5gn/NCfVv5vNUMTLy+yWSSnTt3lnrrzaT42ms9CH73u9/xkY98pPT6rrvuKl2bheJV57lorUmn05x55pkLOs7MmK7nucCN2d1fAuzSWh/RWk8DdwH/w4VyOE5xaTWlFGvWrKGnp6fUFdKkmsJKVHNs5WzuTp7L9utoCl5zdCJmveboBDY4CtWxLQZs8wX7nBfqe7RMgl5tu9uYeH1jsRjDw8NkMhkymcys33m1VXndunXccsstpdevfvWrefLJJ5tybK86O0WjMe1Gkr4X2KCUSqh8xvpi4CEXyuEoxe7t7e3trFmz5rTZHf26DmQ9VHPcuKqdyzYspq8tiCJfo3vZhsWOjJFy8ly2X0dT8JqjEzHrNUcnsMFRqI5tMWCbL9jnvFDf3rbyrZ+VtruNqdc3kUgwPDxMOp2e1UsgmUzOO7mcW7S3t7Nt2zZWrFgBwCWXXMKPfvSjBR/Xy85O0GhMt3yAotb6Z0qpO4BfARng18BXWl0OJ8lkMqTTafr7+2e1ns+kWKNiUneeucznuHFVe8smLnHqXHIdzcCLjs2OWS86NhsbHIXq2BYDtvmCfc4L9d28votr7x8llf3j8Fanei42A5Ovb1tbG0NDQ+zZs4dYLEYwGCxNKJdKpVwuXXmUUlx77bXceeedbNmyhWuuuYaf/OQnfOhDH2r4mF53bjaNxrQbLelorT+htX6a1voZWuu3aK2NuUqpVIpsNsvw8DC9vb0Vl1bLZrNGfgDNRBzNQBzNQBwFG7AtBmzzBfucF+rbyp6LzcD069vR0cGKFStIJpPkcjnS6XTFSeW8xPnnn88111wDwE9+8hM2bdrUcI8Hvzg3i0Zj2uypfluI1prJyUna2toYHBwsLXNUiUDAlfqRliKOZiCOZiCOgg3YFgO2+YJ9zs3wbWXPxYViw/Xt6uoim81y8OBB2tvbfeP8lKc8hdtuu43Xv/71AFxwwQVcd911DA7WNwGh6SvNzKXR6+uPqPA42WyWyclJent7GR4enjdBh3xSb/o6uuJoBuJoBuIo2IBtMWCbL9jnLL5m0tPTw9KlS5mamvJVz4F4PM7IyAhPf/rTAbj00ku577776jpGLpcjl8s5UTxP0mhMS5K+QFKpFOl0mqGhIfr7+31TGyYIgiAIgiAIgjv09fXR3d1NMpn0XcXEZz7zGd75zncCcO211/Lxj3/c5RKZh2SUDaK1ZmpqimAwyJo1a+js7Kzr/UqpiuPVa2X7rnEuuns/f/n1PVx093627xpf0PGaTTMcvY44moE4moENjkJ1bIsB23zBPmfxNRelFEuWLKG7u5upqSnfJeqveMUr+NKXvgTAb37zGzZt2lTTZHCBQMCqRs1GY9qev1ATKS6v1tHRwZo1a4jFYg0dYyFdPbbvGufa+0c5MpFFA0cmslx7/6inEnUburOIoxmIoxnY4ChUx7YYsM0X7HMWX7PRWtPT00NHRwdTU1NuF6duhoaGuP3220uvX/va17Jz586q7ym3XrzJNBrTkqTXyfT0NMlkkoGBAQYHBwkGG1tnMhgMNvxegC07xmYtpwGQymq27Bhr+JjNZqGOfkAczUAczcAGR6E6tsWAbb5gn7P4mk0wGCQcDjM4OEhbW5svE/VIJMLIyAhnn302AJdffjkjIyNV969l/i5TaDSmJUmvg+KYkdWrV1dc/7xWGl3YvsjRifKTTFTa7gYLdfQD4mgG4mgGNjgK1bEtBmzzBfucxddsir6BQIChoSHi8bgvE3WAK6+8kve+970A3Hjjjbzvfe8r24U/lUpZs0Y6NB7TkqTXgNaaiYkJ4vE4a9asIZFILPiY4XC4tLh9I/S2la+RqbTdDRbq6AfE0QzE0QxscBSqY1sM2OYL9jmLr9nM9A0GgwwNDRGJRHybxG7cuJHrr78egMcff5xzzz2XiYmJWfvEYrGGhgr7lUZjWpL0echkMkxOTrJkyRKGh4eb9sGx0JrCzeu7iAZnt+RHg4rN67sWWLLmYUNtqDiagTiagQ2OQnVsiwHbfME+Z/E1m7m+oVCI4eFhAoGAbxP1/v5+7rzzztLrN77xjfzhD38ovZ6cnGRyctKNormCtKQ7QCqVIpPJsHLlSpYuXdrU2SZrrVWpNIP7xlXtXLZhMX1tQRTQ1xbksg2L2biqvWllXCg21IaKoxk0w9Hrqy3IdRRswLYYsM0X7HMWX7Mp5xsOhxkeHkYpRTqddqlkCyMUCjEyMsI555wDwIc+9CFuu+02ABKJRFN6JfuFRmM65EBZfI/WmmQySTQaZcWKFUSj0aafo5YaleIM7sUJ4oozuEM+SS/+8yo21ISKoxks1HG+e9ULyHUUbMC2GLDNF+xzFl+zqeQbjUYZHh5m586dTE9P+7bi4vLLL2fDhg1cffXV3HrrrXzve9/jpptusmaZPWg8pqUlfQ7ZbJbJyUm6urpYvXq1Iwk61Far4ocZ3KthQ22oOJrBQh39cK/KdRRswLYYsM0X7HMWX7Op5huLxRgeHvb9kmXPe97z+NrXvgbA4cOHedWrXuXbHgKNIGPSm0A6nSaVSjE4OMjAwACBgHN/nlrGJ/hhBvdq2DCuSBzNQFZbMAMbHIXq2BYDtvmCfc7iazbz+SYSCVauXEk6nSab9c4zRb309vZy1113lZZeO/fcc3nwwQddLlVrkDHpC0BrzdTUFEop1qxZQ3d3t+PdMGqpVfHDDO7VsKE2VBzNQFZbMAMbHIXq2BYDtvmCfc7iaza1+La3t7NixQqSyaSvE/VgMMjtt9/O+eefD8DHPvYxbrrpJpdL5TzSkt4guVyOyclJ2tvbWbNmDfF4vCXnraVWxQ8zuFfDhtpQcTQDWW3BDGxwFKpjWwzY5gv2OYuv2dTq29nZyeDgIMlkklwu14KSOcfb3vY2PvWpTwGwbds23vCGN/jeqRrSkt4AmUyGqakpli1bxtDQEKFQ6+bRq6VWxQ8zuFfDhtpQcTSDhTr64V6V6yh4FaXUGUqpHTP+nVRKvbeRY9kWA7b5gn3O4ms29fh2d3fT39/P1NQUWuv53+BR4vE4z3/+87n55puB/JJs5513HseOHXO5ZM4gs7vXSXHtwVWrVtHe3voH6VongPD6DO7V8PMkF7UijmbQDEev36tyHQWvorV+GFgPoJQKAgeAuxs5lm0xYJsv2OcsvmZTr29vby/ZbJbDhw+TSCR8OUt6MQfr6upi27ZtXHzxxYyOjnLxxRfz0Y9+lOc+97kul7C5NBrTVibp09PTJBIJBgcHSxMYtJpgMD9W1eQPI3E0A3E0A3EUfMKLgce11nsq7RAIBAiFQgSDQXK5XOkhVWtNLBYjm80SCoVKyxbN9zObzRIIBEotU0opcrkcwWCw5mNkMpmy5QkEAjWXp5FjKKUIh8NMTEwY4zTfdSq2SE1PTxvjVO06VbrGfnaq9jORSBjnVK089XxmFY+xfPly4vE4x44dIxaLld4bjUaZmpoiHo8zOTlJIpE47Wdxiel0Ok0oFCp1Mw8EAmQyGSKRCKlUilgsVvEYxXOkUqnS36folMvlCIVCpNPpisfo7u4ulSOZTHLHHXfw1a9+lVtvvZV/+Id/4OUvfzkf/OAHXXcCiEQihMPhBcVeJBJBa116RqkV67q7h0IhBgYGGB4edi1Bh3wQmzz+AsTRFMTRDMRR8AmvB26du1EpdYlS6pdKqV+Ojo5WfHMul/N1N9B6sTHmbXO20Vfu4eoopejp6WHx4sW+7Ppezvmiiy7iC1/4AgDf/va3edGLXuTrSfJm0mhMKz9c2HXr1umtW7e6XYymUqwgMHmdQHE0A3E0A3FsPWedddYDWuvnuF0Ov6CUigAHgXVa6ycr7VftmcBrMeA0tvmCfc7iazYL8dVac+jQIY4ePeqrru9tbW0ATExMnPa78fFx3vSmN5Vef+UrX2Hp0qUtK9tMtNak02nOPPPMBR1n5jWu57nAupZ0QRAEQRA8ySuAX1VL0AVBEIQ8SimWLVtGT08Pk5OTvmtRL0d7ezvbtm1jeHgYgEsuuYQf/vCH7hbKJSRJdwmttRE3UzXE0QzE0QzEUfABb6BMV/d6sC0GbPMF+5zF12wW6quUor+/31eJ+nxd/JVSfPGLX+TCCy8E4POf/zxXX311q4rXdBq9xpKku0QgECAQMPvPL45mII5mII6Cl1FKtQH/E7hrIcexLQZs8wX7nMXXbJrhW0zUFy9e7ItEPRQK1bTs9atf/Wo+//nPA/DTn/6UTZs2NbTeuNs0eo3tuQs8RjabNWZChEqIoxmIoxmIo+BltNYTWuserfWJhRzHthiwzRfscxZfs2mWr1KKgYEBXyTq6XS65jH4a9eu5bbbbiu9vuCCC9i/f79TRXOERq+xJOkuUWstkp8RRzMQRzMQR8EGbIsB23zBPmfxNZtm+hYT9e7ubk/P+h6LxYjFYjXvH4/HGRkZ4elPfzoAl156Kd/5znecKl7TafQaS5LuEtPT077sslEP4mgG4mgG4ijYgG0xYJsv2OcsvmbTbN9iot7Z2enZRH1ycpLJycm63/eZz3yGd77znQBcd911fOxjH2t20Ryh0WssSbpLhMNhwuGw28VwFHE0A3E0A3EUbMC2GLDNF+xzFl+zccI3EAiwfPlyOjs7Pdn1PZFIkEgkGnrvK17xCr70pS8B8OCDD7Jp0yaSyWQzi9d0Gr3GkqS7RKVale27xrno7v385df3cNHd+9m+a9yF0jUHG2pDxdEMxNEMbHAUqmNbDNjmC/Y5i6/ZOOU7M1H3Wot6oy3pRYaGhrj99ttLr1/3utexc+fOZhTNEaQl3WeUq1XZvmuca+8f5chEFg0cmchy7f2jvk3UbagNFUczEEczsMFRqI5tMWCbL9jnLL5m46RvIBBgcHCQjo4OpqamHDlHIyykJb1IJBJhZGSE5z73uQBcfvnljIyMNKN4TUda0n1GuVqVLTvGSGVn13SlspotO8ZaWLLmYUNtqDiagTiagQ2OQnVsiwHbfME+Z/E1G6d9i4l6W1ubZxL1hbakz+SjH/0ol19+OQA33ngj733vez3VawCkJd13lKtVOTpRfnr+Stu9jg21oeJoBuJoBjY4CtWxLQZs8wX7nMXXbFrhGwgEGBoaIhaLeWL8djNa0mdyzjnncP311wOwa9cuzj33XCYmJpp2/IUiLek+o1ytSm9bsOy+lbZ7HRtqQ8XRDMTRDGxwFKpjWwzY5gv2OYuv2bTKNxgMsnLlSkKhEKlUyvHzVaOZLelF+vv7ufPOO0uv3/jGN/LQQw819RyNIi3pPqNcrcrm9V1Eg2rWtmhQsXl9VwtL1jxsqA0VRzMQRzOwwVGojm0xYJsv2Ocsvu7RismcW+kbCoUYHh5GKUU6nW7JOcvR7Jb0IqFQiJGREV70ohcBcMUVV3Drrbc2/Tz1Ii3pPiOTyZDJZGZt27iqncs2LKavLYgC+tqCXLZhMRtXtbtTyAVSztE0xNEMxNEMbHAUqmNbDNjmC/Y5i687tGoy51b7RiIRhoeHyeVyrvVYSCaTjna7f8973sNHPvIRAG677Tbe9ra3uTpOvdFrLEm6SwSDQYLB07uxb1zVzk3nDXLPm1dy03mDvk3QobKjSYijGYijGdjgKFTHthiwzRfscxZfd2jVZM5u+MZiMYaHh12rEIlEIkQiEUfP8Wd/9mfceOONABw5coRzzz2XkydPOnrOSjR6jSVJd4lcLkcul3O7GI4ijmYgjmYgjoIN2BYDtvmCfc7i6w6tmszZLd9EIsHKlStJp9MtT9RbVTnQ09PDXXfdRTQaBeAtb3kLO3bscPy8c2n0GkuS7hJKKZRS8+/oY8TRDMTRDMRRsAHbYsA2X7DPWXzdoVWTObvp297e7kqiHggECARak4IGg0G+8Y1v8Bd/8RcAfOITn+CGG25oybmLNHqNJUkXBEEQBEEQBEEoYMpkzvNNfrdo0SKGhoZIp9Nks/5c8rkW3v72t3PVVVcBcM899/C6173OEz02qiFJuktorV2dxKAViKMZiKMZiKNgA7bFgG2+YJ+z+LpDqyZzdtK31snvOjo6GBoaIplMtiRRd+sar1+/ni1btgD5yevOO+88jh075vh5G/WVJN0lWtnVwy3E0QzE0QzEUbAB22LANl+wz1l83aMVkzk76VvP5HfFRD2VSjmeqLs5OWBnZyfbtm2jr68PgIsvvpif/exnjp6z0WvsjbvAQrLZrNHdSkAcTUEczUAcBRuwLQZs8wX7nMXXbJz0rXfyu87OTgYHBx1vUZ+ennZt+TfIjxG/4YYbeO1rXwvApz/9af7pn/7JsfM1eo0lSXeJUChEKBRyuxiOIo5mII5mII6CDdgWA7b5gn3O4ms2Tvo2MvldV1cXK1asIJlMOjZmOxqNlmZcd5M3velNXH311QB873vfY9OmTY5MoNfoNZYk3SXcrkVqBeJoBuJoBuIo2IBtMWCbL9jnLL5m46Rvo5PfdXV1MTg4yNTUlCOJ+tTUFFNTU00/biOceeaZ3HLLLaXX559/Pk8++WRTz9HoNZYk3SXC4TDhcNjtYjiKOJqBOJqBOAo2YFsM2OYL9jmLr9k46buQye+6u7tZvny5I4l6PB4nHo839ZgLob29nW3btjE8PAzAJZdcwg9+8IOmHb/Ra2xPfxKPYUMtoTiagTiagTgKNmBbDNjmC/Y5i6/ZOO27cVV7wxPeLV68GK01Bw8eJB6PN22Cu8nJyaYcp5kopfjiF7/Itm3buOmmm/jHf/xHfvKTn/C+971vwcdu9BpLS7pL2FBTKI5mII5mII6CDdgWA7b5gn3O4ms2Xvft6emhv7+/qS3qiUSCRCLRlGM1m3PPPZcvfOELANx///1cccUVCz5mo9dYknSXsGHMjTiagTiagTgKNmBbDNjmC/Y5i6/Z+MG3t7e3qYn65OSkJ1vTi6xevZqtW7cSCARYtmzZgo/X6DWW7u4uUaxRMXmZCXE0A3E0A3EUbMC2GLDNF+xzFl+z8Ytvb28vWmsOHTq04K7vxVb0EydONKt4TScWi3HXXXeRTqcXfKxGr7Ek6S7h9VqzZiCOZiCOZiCOgg3YFgO2+YJ9zuJrNn7y7evrQ2vNk08+SSKRQCk1/5vK4OVWdCdo9BpLku4Sfqk5WwjiaAbiaAbiKNiAbTFgmy/Y5yy+ZuM332Kifvjw4YYTdT+0pDcTaUn3GX6qOWsUcTQDcTQDcRRswLYYsM0X7HMWX7Pxm69SiiVLlqC15siRIw0l6slk0qHSeRPftKQrpc4Ats7YtBr4uNb6/7S6LG7it5qzRhBHMxBHMxBHwQZsiwHbfME+Z/E1Gz/6KqVYunQpWmuOHj1ad6IejUYBSKVSThXRU/imJV1r/TCwHkApFQQOAHe3uhxu46ebsVHE0QzE0QzEUbAB22LANl+wz1l8zcavvkqp0szn9SbqzZiMzU80eo3d7u7+YuBxrfWeajsFAgFCoRDBYJBcLlcKAq01gUCAbDZLKBRienqacDg8789sNksgEEBrDeQDLZfLEQwGaz5GJpNZUHni8TiZTIZAIGCM09xjFGvKitfQBKe5xwgGg4RCIXK5nDFOc4+hlCIcDld09KPT3J9zHU1wmvszGAyilCodxwSnudcpEomgtfaMk9B6FjLjsB+xzRfscxZfs/GzbzFR11pz7NixmhP1UMjt9HN+Hj6W4v69k2Sn0xz4w342r+9i46r2ho7V6DV2+6/0euDWcr9QSl0CXAIwMDDQyjK1BK218Q9xpvsVMd3Tlli1wbHRmVj9hOnXUaiObdffNl+wz1l8zcbvvkop+vv70VozOjpaU6LejLXWneThYym275wgm9PEFByZyHLt/aMADSXqjV5j5VZwKKUiwEFgndb6yWr7rlu3Tm/durXaLr4jEokAZnf5EEczEEczEMfWc9ZZZz2gtX6O2+UwjWrPBF6LAaexzRfscxZfszHFV2vNwYMHOX78OPF4vGqiXpzd3atLsd28Y4xTqRwKTUxl+E0m31jc1xbkpvMG6z7ezGtcz3OBmy3prwB+NV+Cbio2tGiJoxmIoxmIo2ADtsWAbb5gn7P4mo0pvkopBgYG0FozNjZWNVH3ehf/8VT5lv6jE42NLW/0GruZpL+BCl3dbcDrXT2agTiagTiagTgKNmBbDNjmC/Y5i6/ZmOQ7N1Gv1PU9k8m4ULraaY8GOFUmUe9tCzZ0vEavsStVGUqpNuB/Ane5cX4vEAwGCQYbu9h+QRzNQBzNQBwFG7AtBmzzBfucxddsTPMNBAIsX76czs5Opqamyo7HjkQipS7gXmTDijihORlyNKjYvL6roeM1eo1daUnXWk8APW6c2ys0urC9nxBHMxBHMxBHwQZsiwHbfME+Z/E1GxN9A4EAg4OD7Nu3j1OnTpXGoBfx+vroZ/TkV6fKz+6eH4u+kNndG73Gbs/ubi2NLmzvJ8TRDMTRDMRRsAHbYsA2X7DPWXzNxlTfQCDAihUryibqsVgM8HayfkZPlKcujpBOpznzzPoni5tJo9dYknSXMLHmbC7iaAbiaAbiKNiAbTFgmy/Y5yy+ZmOybzFR37t3L+Pj456f1d0pGr3G3p5ez2DC4XCpZsVUxNEMxNEMxFGwAdtiwDZfsM9ZfM3GdN9iot7W1sbU1BSQX4Jtbhd4k2n0GktLukuYXHNWRBzNQBzNQBwFG7AtBmzzBfucxddsbPANBoMMDQ2xd+9eJicnja6UKIeMSfcZpo5BmYk4moE4moE4CjZgWwzY5gv2OYuv99i+a5wtO8Y4OpGld4GTivnBtxkUE/U9e/YQCoWIRCKcOHHC7WK1BBmT7jNsqDkTRzMQRzMQR8EGbIsB23zBPmfx9Rbbd41z7f2jpLL5pcWOTGS59v5RgIYSda/7NpNiov7EE08wPj5u1NJz1ZAx6T7D9DEoII6mII5mII6CDdgWA7b5gn3O4usttuwYKyXoRVJZzZYdYw0dz+u+zSYUCrF69Wq6u7tLY9RNR8ak+wwbas7E0QzE0QzEUbAB22LANl+wz1l8vcXRifJdlittnw+v+zpBLpejp6eHsbExkslkaUk2U5GWdJ9hQ82ZOJqBOJqBOAo2YFsM2OYL9jmLr7fobSvfRbvS9vnwuq8ThMNh4vE4w8PDhMNhksmk20VyFGlJ9xmZTMbtIjRMrRNm+NmxVsTRDMTRDGxwNBWlVBdwA/AMQAMXa61/Wu9xbIsB23zBPmfx9Rab13fNGpMOEA0qNq/vauh4Xvd1gqJzKBRieHiYXbt2kUqliEajLpfMGRq9xtKS7hLBYNCXEyYUJ8w4MpFF88cJM7bvGj9tX7861oM4moE4moENjgbzReDbWuunAX8CPNTIQWyLAdt8wT5n8fUWG1e1c9mGxfS1BVFAX1uQyzYsbnh2d6/7OsFM53A4zKpVqwgGg6RSKZdL5gyNXmNpSXeJXC7ndhEaotqEGXM/oPzqWA/iaAbiaAY2OJqIUqoTeCHw1wBa6zSQbuRYtsWAbb5gn7P4eo+Nq9obTsrn4gffZjPXORwOG92i3ug1liTdJZRSbhehIeqZMMOvjvUgjmYgjmZgg6OhrAKOADcppf4EeAB4j9Z6otzOgUCAUChEMBgkl8uVrrvWmmg0Si6XIxgMMj09TTgcnvdnNpslEAigdb4CWilV9zEymUzZ8gQCAbLZLKFQyJFjQP4BN5fLGeM033UKhUKlODDFqdp1qnSN/exU7WcsFisdwxSnauWJRqNks9majuUXp/nKE4vFmJ6eJhgMlo4RDod52tOexv79+8lkMiQSCaanp4lGo0xNTRGPx5mcnCSRSJz2M5lMEo1GSafThEKhUlIcCATIZDJEIhFSqRSxWKziMYrnSKVSpb8PQCQSIRwOLyj2wuFw6e9SD9LdXaiLZk+YIQiCIFhPCHgW8GWt9Z8CE8AVM3dQSl2ilPqlUuqXo6OjbpRREARBcJBwOMzg4CCBQIB0uqHOVEahijUoXmbdunV669atbhejqRRrR/229EJxTPrcCTPKjcfxq2M9iKMZiKMZeM3xrLPOekBr/Ry3y+F1lFLLgPu11sOF1y8ArtBav6rc/tWeCbwWA05jmy/Y5yy+ZmObL8zvnEql2LVrV6mngVtorUmn05x55pkLOs5M33qeC6Ql3SUCgUDd3R68QD0TZvjVsR7E0QzE0QxscDQRrfUhYJ9S6ozCphcDv2/kWLbFgG2+YJ+z+JqNbb4wv3M0GmXVqlUopYxoUW/0GsuYdJcojnXwKtWWWat1wgyvOzYDcTQDcTQDGxwN5t3ALUqpCLATuKiRg9gWA7b5gn3O4ms2tvlCbc7RaLQ0mVw6nSYSibSgZM7Q6DWWJN0lihOfeHF9xLld2ovLrAF1zWbpZcdmIY5mII5mYIOjqWitdwALHhpgWwzY5gv2OYuv2djmC7U7x2IxVq1a5ftEvdFrLEm6S3h57Ek9y6xVw8uOzUIczUAczcAGR6E6tsWAbb5gn7P4mo1tvlCfczFR37lz56wVD/xEo9fYrkEQHiIcDns20OpZZq0aXnZsFuJoBuJoBjY4CtWxLQZs8wX7nMXXbGzzhfqdi4l6Npv1ZaVGo9dYWtJdwstB1tsW5EiZhLzeZda87NgsxNEMxNEMbHAUqmNbDNjmC/Y5i6/Z2OYLjTnH43GGh4fZvXs3gK8qNqQl3Wd4ueZs8/ouokE1a1s0qNi8vquu43jZsVmIoxmIoxnY4ChUx7YYsM0X7HMWX7OxzRcad04kEgwPD5PJZHxVuSEt6T7Dy8FVHHdeaXb3WvGyY7MQRzMQRzOwwVGojm0xYJsv2OcsvmZjmy8szLmYqO/evRulVGlSNi/TqK/3zQylWKPi1aUXal1mrRped2wG4mgG4mgGNjgK1bEtBmzzBfucxddsbPOFhTu3tbXN6vru9US9UV9vWxmMDTVn4mgG4mgG4ijYgG0xYJsv2OcsvmZjmy80x7mtrY2VK1f6IlGXlnSfYUPNmTiagTiagTgKNmBbDNjmC/Y5i6/Z2OYLzXNub29n5cqV7NmzB/Buoi4t6T6j3gXt/Yg4moE4moE4CjZgWwzY5gv2OYuv2djmC811XrRoEUNDQ+zduxelFMFgfStRtYJGfWV2d5cIBoOeDKRmIo5mII5mII6CDdgWA7b5gn3O4ms2tvlC8507OjoYGhoimUx6skdCo76SpLtELpcjl8u5XQxHEUczEEczEEfBBmyLAdt8wT5n8TUb23zBGWcvJ+qN+kqS7hJKKZRS8+/oY8TRDMTRDMRRsAHbYsA2X7DPWXzNxjZfcM65s7PTk4l6o76SpAuCIAiCIAiCIAi+prOzkxUrVnguUW8EmTjOJbTWbhfBccTRDMTRDMRRsAHbYsA2X7DPWXzNxjZfcN65q6sLrTX79+8nHo8TCLjbJt2oryTpLuF2wLQCcTQDcTQDcRRswLYYsM0X7HMWX7OxzRda49zd3Y3WmgMHDrieqDd6bknSXcLvXTBqQRzNQBzNQBwFG7AtBmzzBfucxddsbPOF1jkvXrwYrTUHDx50NVFv1FeSdJcIhfJ/epPXR5zpuH3XOFt2jHF0IktvW5DN67vYuKrd5RIuHNuuo6mIoxnY4ChUx7YYsM0X7HMWX7OxzRda69zT0wPgaqLeqK8k6S4xPT3tdhEcp+i4fdc4194/SiqbH5NxZCLLtfePAvg+UbfpOpqMOJqBDY5CdWyLAdt8wT5n8TUb23yh9c49PT1orXniiSdcSdQb9bVvIIRHCIfDhMNht4vhKEXHLTvGSgl6kVRWs2XHmDsFayI2XUeTEUczsMFRqI5tMWCbL9jnLL5mY5svuOPc29vLsmXLmJqaavm69I36Sku6S9hQc1Z0PDpRfixGpe1+wqbraDLiaAY2OArVsS0GbPMF+5zF12xs8wX3nPv6+tBa8+STT5JIJFq2Pn2jvpKku0SxRsXkCSOKjr1tQY6USch724KtLlLTsek6iqO/EUfBBmyLAdt8wT5n8TUb23zBXeclS5agtebw4cMtS9Qb9ZUk3SVsqDkrOm5e3zVrTDpANKjYvL7LpZI1D5uuo8mIoxnY4ChUx7YYsM0X7HMWX7OxzRfcd16yZAlAyxJ1aUn3GTbUnBUdi5PDmTi7u03XURz9jTgKNmBbDNjmC/Y5i6/Z2OYL7jsrpViyZAm5XI6jR486nqhLS7rPcLsWqRXMdNy4qt2IpHwutl1HUxFHM7DBUaiObTFgmy/Y5yy+ZmObL3jDWSnFsmXLABxP1KUl3We4XYvUCsTRDMTRDMRRsAHbYsA2X7DPWXzNxjZf8I5zMVHXWnPs2DHHEnVpSfcZXqhFchpxNANxNANxFGzAthiwzRfscxZfs7HNF7zlrJSiv78fwLFEXVrSfYZXapGcRBzNQBzNQBwFG7AtBmzzBfucxddsbPMF7zkXE3WtNaOjo01P1KUl3Wd4JTCdRBzNQBzNQBwFG7AtBmzzBfucxddsbPMFbzorpRgYGEBrzdjYGPF4vGnHbtRXknSH2b5rvOys5oFAwO2iOY44moE4moE4CjZgWwzY5gv2OYuv2djmC951dipRb9RXknQH2b5rfNb64Ecmslx7/ygALzsj4mbRWoLWev6dfI44moE4moENjkJ1bIsB23zBPmfxNRvbfMHbzoFAgOXLlwMwNjZGKLTwVLlRX29WZRjClh1jpQS9SCqr2bJjzJ0CCYIgCIIgCIIgCGUpJuqdnZ2Orp8+H9KS7iBHJ8qPQTg6kXX1orcKcTQDcTQDcRRswLYYsM0X7HMWX7OxzRf84RwIBBgcHGRiYmLBx2rUV5J0B+ltC3KkTKLe2xYkl8u5UKLWIo5mII5mII6CDdgWA7b5gn3O4ms2tvmCf5wDgQCLFi1a8HEa9XWlu7tSqkspdYdS6g9KqYeUUs9zoxxOs3l9F9Hg7NqTaFCxeX0XwWCQYDDoUslagziagTiagTgKNmBbDNjmC/Y5i6/Z2OYL9jk36utWS/oXgW9rrS9QSkWAhEvlcJSNq9oBys7u3ujC9n5CHM1AHM1AHAUbsC0GbPMF+5zF12xs8wX7nBv1bXmSrpTqBF4I/DWA1joNpFtdjlaxcVV7KVmfSaML2/sJcTQDcTQDcRRswLYYsM0X7HMWX7OxzRfsc27U142W9FXAEeAmpdSfAA8A79FaVxyZHwgECIVCBIP5sdzFAfhaawKBANlsllAoxPT0NOFweN6f2WyWQCBQmhJfKUUulyMYDNZ8jEwms6DyBINBMpkM0WjUGKdyx9BaEw6HjXKaeQytdSk2TXGae4xcLkc4HK7o6EenuT/nOprgNPdn8X2RSMQYp0rXKRaLecJJaD3SQmM+tjmLr9nY5gv2OTfq68aY9BDwLODLWus/BSaAK+bupJS6RCn1S6XUL0dHR1tdRscJhUJNWXvPy4RCoVLtkanYch3F0f+Ew2HjHW34zBGqEw6HrYoB23zBPmfxNRvbfME+50Z9Vatr+5VSy4D7tdbDhdcvAK7QWr+q0nvWrVunt27d2qIStobiBAImd/UQRzMQRzMQx9Zz1llnPaC1fo7b5TCNas8EXosBp7HNF+xzFl+zsc0X7HOe6VvPc0HLm1W01oeUUvuUUmdorR8GXgz8vtXlcJtijYrJASqOZiCOZiCOgg3YFgO2+YJ9zuJrNrb5gn3Ojfq61ffx3cAthZnddwIXuVQO17BhPIY4moE4moE4CjZgWwzY5gv2OYuv2djmC/Y5N+rrSpKutd4BWN0F0IZaJHE0A3E0A3EUbMC2GLDNF+xzFl+zsc0X7HP2W0u69dhQiySOZiCOZiCOgg3YFgO2+YJ9zuJrNrb5gn3OvmpJF+yoRRJHMxBHMxBHwQZsiwHbfME+Z/E1G9t8wT5naUn3GZlMxu0iOI44moE4moE4CjZgWwzY5gv2OYuv2djmC/Y5N+rrxjrpAvnp+ItT8puKOJqBOJqBOAo2YFsM2OYL9jmLr9nY5gv2OTfqKy3pLpHL5dwuguOIoxmIoxmIo+BllFK7gVNAFsg0ur68bTFgmy/Y5yy+ZmObL9jn3KivJOkuoZRyuwiOI45mII5mII6CD9iotT66kAPYFgO2+YJ9zuJrNrb5gn3OjfpKki4IgiAIgm8IBAKEQiGCwSC5XK70AKS1JhKJkMvlCAQCTE9PEw6H5/2ZzWYJBAJorYH8A1UulyMYDNZ8jEwmU7Y8gUCAbDZLKBRy5BhAycEUp/muUygUMs6p2nWqdI397FTtZzQaJZvNlt5nglO18kQiEbLZLLFYzBin+coTjUaZnp4mFosZ41TtGOFwGK113cm6jEl3Ca11KYhMRRzNQBzNQBwFj6OB7yilHlBKXTL3l0qpS5RSv1RK/XJ0dLTyQSyLAdt8wT5n8TUb23zBPudGXZUf/kjr1q3TW7dudbsYTSUajQKQSqVcLolziKMZiKMZiGPrOeussx5odGy1bSillmutDyillgD3Ae/WWv+w3L7Vngm8FgNOY5sv2OcsvmZjmy/Y5zzTt57nAunu7hI2rA0ojmYgjmYgjoKX0VofKPw8rJS6G3guUDZJr4ZtMWCbL9jnLL5mY5sv2OfcqK90d3eJUChUGldlKuJoBuJoBuIoeBWlVJtSalHx/8BLgf9u5Fi2xYBtvmCfs/iajW2+YJ9zo76+6O6ulDoC7HG7HA7QCyxoJlsfII5mII5mII6tZaXWus/tQngdpdRq4O7CyxDwb1rrf6iy/3zPBF6KgVZgmy/Y5yy+ZmObL9jnXPSt+bnAF0m6qSilfmn6eEVxNANxNANxFGzAthiwzRfscxZfs7HNF+xzbsRXursLgiAIgiAIgiAIgkeQJF0QBEEQBEEQBEEQPIIk6e7yFbcL0ALE0QzE0QzEUbAB22LANl+wz1l8zcY2X7DPuW5fGZMuCIIgCIIgCIIgCB5BWtIFQRAEQRAEQRAEwSNIku4ASqkblVKHlVL/PWPb3ymlDiildhT+vbLCe1+ulHpYKfWYUuqK1pW6Pio4bp3ht1sptaPCe3crpX5b2O+XLSt0HSilViiltiulfq+U+p1S6j2F7YuVUvcppR4t/Oyu8P4LC/s8qpS6sLWlr40qjp9TSv1BKfWgUupupVRXhff7+Toacz9WcTTpfowppX6ulPpNwfGqwvZVSqmfFa7PVqVUpML7P1zY52Gl1MtaW3rBKarE/icLn187lFLfUUoNuF3WZlHJecbv36+U0kqpXrfK2EwW+hnuN6pdX6XUuwvfzb9TSn3WzXI2k4V+h/mNKr7rlVL3F7+LlVLPdbuszaCK758opX5aeP64RynV4XZZm8VCn1lKaK3lX5P/AS8EngX894xtfwd8YJ73BYHHgdVABPgN8HS3fWp1nPP7zwMfr/C73UCv2w7z+PUDzyr8fxHwCPB04LPAFYXtVwD/u8x7FwM7Cz+7C//vdtupDseXAqHC9v9dztGA62jM/VjJcc4+fr8fFdBe+H8Y+BmwAfgG8PrC9uuBd5V579ML1y4KrCpc06DbTvKvKXFR6f7umLHP3wDXu11Wp50Lr1cA/0l+GJiRFQAAD21JREFUDXlP39NNuMbzfob78V8V343Ad4Fo4XdL3C6r085z9qn4Hea3f1Wu8XeAVxS2vxL4vttlddj3F8CfF7ZfDHzS7bI20bnhZ5aZ/6Ql3QG01j8ERht463OBx7TWO7XWaeA2YFNTC9ckqjkqpRTwWuDWlhaqiWitn9Ba/6rw/1PAQ8By8tfj5sJuNwPnlnn7y4D7tNajWuvjwH3Ayx0vdJ1UctRaf0drnSnsdj8w6FYZF0qV61gLvrgf53M05H7UWuvxwstw4Z8GXgTcUdhe6X7cBNymtU5prXcBj5G/toLPqfIZdnLGbm3kY8UI5rnfvwB8EHt8jaOK77uAq7XWqcLvDrtXyuZiw3fYTKr4aqDYmtwJHHSnhM2liu9TgR8WdrsPON+dEjafBT6zlJAkvbVcVuiCd6Mq3016ObBvxuv9+PPL6AXAk1rrRyv8XgPfUUo9oJS6pIXlagil1DDwp+RrwpZqrZ8o/OoQsLTMW3x3Hec4zuRi4D8qvM3P1xEMvB8rXEcj7kelVLDQ3fEw+S/0x4GxGRVKla6P766jUD9zY18p9Q9KqX3Am4CPu1g0x5jprJTaBBzQWv/G3VI5RwOf4b5mju9TgRcUusr+QCl1tquFc4gGv8N8yxzf9wKfK3xuXQN82L2SOcMc39/xx4aP15DvCWQMC3hmKSFJeuv4MrAGWA88Qb7rjqm8geo1ns/XWj8LeAVwqVLqha0pVv0opdqBO4H3zmmdQef7q/i+xaKSo1Lqo0AGuKXCW/18HY27H6vEqhH3o9Y6q7VeT75nx3OBp7lbIsErlIt9rfVHtdYryH9+XeZm+ZxgpjP5z+mPYGhlBNjxGT6TMr4h8kPoNgB/C3yj0MJsDAv4DvMlZXzfBVxe+Ny6HPiam+VrNmV8Lwb+l1LqAfLd4NNulq/ZNOOZRZL0FqG1frJwwXLAVynf3fIAs2uSBgvbfINSKgS8GthaaR+t9YHCz8PA3Xi066lSKkz+A+UWrfVdhc1PKqX6C7/vJ19DNhffXMcKjiil/hr4C+BNhcqI0/DzdTTtfqxyHY25H4torceA7cDzgK6CI1S+Pr65jkL9VIr9GdyCQd0ooazzGvLzLfxGKbWbfIz/Sim1zL1SNo8FfIb7kgoxvR+4q9CN9udADjBickBY2HeYH6ngeyFQ/P/tGB7TWus/aK1fqrV+NvlKmMfdLKNTNPDMUkKS9BZRTOwKnAf8d5ndfgE8pTD7XwR4PfDNVpSvibwE+IPWen+5Xyql2pRSi4r/Jz9JWbm/hasUaqi/Bjyktf7HGb/6JvkPUgo/R8q8/T+Blyqlugtd8F5a2OYpKjkqpV5OflzjX2mtJyu819fX0aT7sUqsgjn3Y58qrDKglIoD/5P8uLbtwAWF3Srdj98EXq+UiiqlVgFPAX7ueKEFx6lyfz9lxm6bgD+0umxOUc5Za/1brfUSrfWw1nqYfEL3LK31IReL2hQW+BnuO6p8nm8jP3kcSqmnkp/M9GjLC+gAC/kO8yNVfA8Cf174/4sAI7r3V7mHlxR+BoAryU+kZgQLfGb5I9oDs+CZ9o98jdATwDT5L8u3Av8K/BZ4kPxDY39h3wHgWzPe+0ryMx8+DnzUbZd6HAvb/wV455x9S47kZ8r+TeHf77zqCDyffFf2B4EdhX+vBHqA75H/8PwusLiw/3OAG2a8/2LyE1Q9Blzktk+djo+RH8Nb3Ha9gdfRmPuxkmPhd6bcj88Efl1w/G8Ks/wWyv/zQszezh9nPv4r4O9nvP+jhWv4MIXZc+Wf//9Vub/vLMTJg8A95CeTc728TjrP2Wc35szuXtdnuN//VfGNAF8vxPWvgBe5XVannQu/O+07zO//qlzj5wMPFL6PfwY82+2yOuz7HvLPV48AVwPK7bI20bmuZ5ZK/1ThTYIgCIIgCIIgCIIguIx0dxcEQRAEQRAEQRAEjyBJuiAIgiAIgiAIgiB4BEnSBUEQBEEQBEEQBMEjSJIuCIIgCIIgCIIgCB5BknRBEARBEARBEARB8AiSpAvCAlBK9SildhT+HVJKHZjxOuLgeXcrpXrr2D+slLpaKfWoUupXSqmfKqVe4VT5moVSar1S6pVul0MQBEEwA6WUVkp9fcbrkFLqiFLq3+s8zveVUs8p/P9bxXWRW8HMc9e4/78opS4os/2chXjXi1JqWCm14DXtC89Ad854fYFS6l/mec9fKaWuWOi5BaFVhNwugCD4Ga31MWA9gFLq74BxrfU1bpapAp8E+oFnaK1TSqmlwJ+7XKZaWE9+DfpvuVwOQRAEwQwmgGcopeJa6yngfwIHFnJArbVUJreeZyulnq61/n0tO2utvwl80+EyCULTkJZ0QWgySqm3K6V+oZT6jVLqTqVUorB9RCm1ufD/dyilbqm2/5xj9iilvqOU+p1S6gZAzfjdm5VSPy+03v+zUio4570J4O3Au7XWKQCt9ZNa628Ufv9lpdQvC8e+asb7rlZK/V4p9aBS6prCtr9USv1MKfVrpdR3C8k+Sqm/U0rdrJT6kVJqj1Lq1UqpzyqlfquU+rZSKlzY79lKqR8opR5QSv2nUqq/sP37Sqn/XfB4RCn1gkJPhL8HXldwe51SarFSaluhTPcrpZ7ZpMsmCIIg2MO3gFcV/v8G4NbiL5RSbUqpGwvfR79WSm0qbI8rpW5TSj2klLobiM94T6l3W+E76oHCd+olM/YZV0r9Q+G7/v4Z359lv1dnMs+5y36HV0Ip9XKl1B+UUr8CXj1j+3NVvpfdr5VSP1FKnVHDuV9aeM+vlFK3K6Xay5zv2QXn3wCXztgeU0rdVHhO+LVSamNh+7oZzzQPKqWeUkHl88BHy5yv7HOCUuqvlVLXKqU6C88pgcL2NqXUPpXvcbi+8J4HlVJ3K6W6C/v8zYznodvm+xsLQjOQJF0Qms9dWuuztdZ/AjwEvLWw/RLg40qpFwDvB949z/4z+QTwY631OuBuYAhAKXUm8Drg/9NarweywJvmvHctsFdrfbJCeT+qtX4O8Ezgz5VSz1RK9QDnAeu01s8EPlXY98fABq31nwK3AR+ccZw1wIuAvwK+DmzXWp8FTAGvKiTqXwIu0Fo/G7gR+IcZ7w9prZ8LvBf4hNY6DXwc2Kq1Xq+13gpcBfy6UKaPAFsqOAmCIAhCJW4DXq+UipH/7vvZjN99FPivwvfRRuBzSqk24F3ApNb6TPLfyc+ucOyLC99xzwH+pvB9CtAG3F/4rv8h+cpzqP69WqTauU/7Dq8kXfD9KvCXhWMsm/HrPwAvKJTj48Cnq527UClxJfASrfWzgF8C7ytz2pvINxL8yZztlwK68JzwBuDmQvneCXyx8EzzHGB/BZ1vAM9SSq2ds73qc4LW+gSwgz/2JvwL4D+11tOFfT9UeO9vC74AVwB/Wtj+zgrlEYSmIt3dBaH5PEMp9SmgC2gH/hPyrddKqY8D24HztNaj1fafwwsp1Hhrre9VSh0vbH8x+S/MXyilIF/DfbjO8r62UNsfIt8l/unA74Ek8DWVH69WHLM2CGwttIBHgF0zjvMfWutppdRvgSDw7cL23wLDwBnAM4D7CmUNAk/MeP9dhZ8PFPYvx/OB8wG01v+l8j0MOqpUQAiCIAjCLLTWDyqlhsknh3OHU70U+Cul1AcKr2PkK8ZfCPzTjPc/WOHwf6OUOq/w/xXAU4BjQJo/fpc+QL6bPVT/Xi1S7dzlvsMrle1pwC6t9aMAKj82v9ja30k+UX4KoIHwPOfeUDjX/yt8p0eAn848mcqP0+/SWv+wsOlfgeJ8OM8nX3GP1voPSqk9wFMLx/ioUmqQfCPGoxVcssDngA8D/zFje9nnhDnv3Uq+gWM78Hrg/yqlOgtl/UFhn5uB2wv/fxC4RSm1DdhWoTyC0FSkJV0Qms+/AJcVaoevIv8FX+Qs8l/WAzXuPx8KuLnQ0rxea32G1vrv5uzzGDBU5ksKpdQq4APAiws1xPcCMa11BngucAf5WuZiwv0l4NpCWd8xp6zFrvQ5YFprrQvbc+QfHhTwuxllPUtr/dK57yf/xSsViIIgCIKTfBO4hhld3Qso4PwZ31VDWuuHajmgUuoc4CXA8wotx7/mj9+TM78XZ37PVftene98Zb/Da33/HD5JvgfcM8i3tM93HAXcN+Pv9HStdbmegHWhtf438j3ypoBvKaVeVGX3fyVfibCiztN8E3i5Umox+YaO/5pn/1cB1wHPIt8oIs8oguNIki4IzWcR8EShe3ep67lS6rnka5D/FPhA4cu14v5z+CHwxsJxXgF0F7Z/D7hAKbWk8LvFSqmVM9+otZ4EvgZ8URVmnFdK9SmlXgN0kJ9E50RhHNwrCr9vBzq11t8CLgeK3dQ6+eMEOxfW9VeBh4E+pdTzCucIK6XWzfOeU+T/PkV+ROFvVHgYOiqt6IIgCEID3AhcpbX+7Zzt/wm8WxWah5VSf1rYPvN7+Bnku5fPpRM4rrWeVEo9jXxr83zU8r1a6dxlv8Or8AdgWCm1pvD6DRXK8dc1nPt+4P8rdjcvjO1+6syTaa3HgDGl1PMLm2Y+48z8Pn8q+d4KDyulVgM7tdb/BIxQ/u9cPP408AXyzynljnsOZZ4TtNbjwC+ALwL/rrXOFrrBHy8MSQR4C/CDwtj1FVrr7cCHCn+n08beC0KzkSRdEJrPx8iPb/t/5L8QUUpFyY8Du1hrfZD8mPQbCw8Bp+1fhquAFyqlfke+2/tegMKsplcC3yl0QbuPfHe3uVwJHAF+r/LLn/w7cFJr/RvyNf1/AP6tUAbIJ8b/Xjjmj/njOLO/A25XSj0AHK3nj1IYY34B8L9VfgKZHcD/mOdt24GnFyaQeV3h/M8ulOtq6q8oEARBEAS01vsLieBcPkm+q/eDhe/cTxa2fxloV0o9RH5S0wfKvPfbQKiwz9XkE9n5+Dvm/14te+4q3+Fl0VonyXdvv1flJ46bOTzus8BnlFK/ZnZvtkrnPkI+mb+18J38U/Ld6edyEXCdUmoHMya9Bf4vECgMkdsK/HVhctvXAv9d2P8ZzD/3zNfmlPfvqO05YSvw5sLPIheSn4PgQfKry/w9+aF5Xy+U89fAPxUqHwTBUdQfe94IgiAIgiAIgiAIguAm0pIuCIIgCIIgCIIgCB5BknRBEARBEARBEARB8AiSpAuCIAiCIAiCIAiCR5AkXRAEQRAEQRAEQRA8giTpgiAIgiAIgiAIguARJEkXBEEQBEEQBEEQBI8gSbogCIIgCIIgCIIgeARJ0gVBEARBEARBEATBI/z/WgHUuOfhp08AAAAASUVORK5CYII=\n", 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\n", 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" + "
" ] }, "metadata": {}, @@ -1163,9 +1201,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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" + "
" ] }, "metadata": {}, @@ -1283,9 +1321,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1645,21 +1685,25 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 2.2e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 4e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", + " Gradient evaluation took 3.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_y0ea4jht/model_o46xm5l7.stan', line 22, column 8 to line 25, column 37)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_brvvniec/model_ymq3anom.stan', line 22, column 8 to line 25, column 37)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", " Gradient evaluation took 4.7e-05 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.8e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Gradient evaluation took 5.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_brvvniec/model_ymq3anom.stan', line 22, column 8 to line 25, column 37)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.\n", " Adjust your expectations accordingly!\n" ] } @@ -1715,7 +1759,7 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 17, "id": "c751f87b", "metadata": {}, "outputs": [], @@ -1731,7 +1775,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "9c0f5629", "metadata": { "pycharm": { @@ -1758,7 +1802,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "178acde0", "metadata": { "pycharm": { @@ -1813,7 +1857,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "55b0f0a8", "metadata": { "pycharm": { @@ -1851,31 +1895,31 @@ " \n", " \n", " alpha\n", - " -0.00\n", + " 0.00\n", " 0.10\n", - " -0.19\n", + " -0.20\n", " 0.19\n", " \n", " \n", " beta_M\n", " -0.06\n", " 0.16\n", - " -0.35\n", - " 0.25\n", + " -0.36\n", + " 0.24\n", " \n", " \n", " beta_A\n", " -0.61\n", " 0.16\n", - " -0.91\n", - " -0.30\n", + " -0.90\n", + " -0.29\n", " \n", " \n", " sigma\n", " 0.83\n", " 0.09\n", - " 0.66\n", - " 0.99\n", + " 0.67\n", + " 1.00\n", " \n", " \n", "\n", @@ -1883,13 +1927,13 @@ ], "text/plain": [ " Mean Std 5.5% 94.5%\n", - "alpha -0.00 0.10 -0.19 0.19\n", - "beta_M -0.06 0.16 -0.35 0.25\n", - "beta_A -0.61 0.16 -0.91 -0.30\n", - "sigma 0.83 0.09 0.66 0.99" + "alpha 0.00 0.10 -0.20 0.19\n", + "beta_M -0.06 0.16 -0.36 0.24\n", + "beta_A -0.61 0.16 -0.90 -0.29\n", + "sigma 0.83 0.09 0.67 1.00" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1926,7 +1970,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "013af366", "metadata": { "pycharm": { @@ -1936,12 +1980,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { @@ -1975,30 +2021,30 @@ " \n", " beta_1\n", " 0.18\n", - " 0.06\n", - " 0.05\n", - " 0.30\n", + " 0.07\n", + " 0.04\n", + " 0.29\n", " \n", " \n", " beta_M\n", " -0.06\n", " 0.16\n", - " -0.35\n", - " 0.25\n", + " -0.36\n", + " 0.24\n", " \n", " \n", " beta_2\n", - " -0.86\n", + " -0.88\n", " 0.18\n", - " -1.20\n", - " -0.51\n", + " -1.23\n", + " -0.56\n", " \n", " \n", " beta_A\n", " -0.61\n", " 0.16\n", - " -0.91\n", - " -0.30\n", + " -0.90\n", + " -0.29\n", " \n", " \n", "\n", @@ -2006,13 +2052,13 @@ ], "text/plain": [ " Mean Std 5.5% 94.5%\n", - "beta_1 0.18 0.06 0.05 0.30\n", - "beta_M -0.06 0.16 -0.35 0.25\n", - "beta_2 -0.86 0.18 -1.20 -0.51\n", - "beta_A -0.61 0.16 -0.91 -0.30" + "beta_1 0.18 0.07 0.04 0.29\n", + "beta_M -0.06 0.16 -0.36 0.24\n", + "beta_2 -0.88 0.18 -1.23 -0.56\n", + "beta_A -0.61 0.16 -0.90 -0.29" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -2055,7 +2101,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "id": "dad838a4", "metadata": { "pycharm": { @@ -2068,9 +2114,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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870VFoT1zZhjex7KfLby67rjjjowcObLDfCD9G2+8kbPPPjvz58+vegoAtDtP/OWZdN39n973Pu9cWGvO+pvlXxsac+Xl38w+++yzdga2kY985CPZaaed8thjjyXJUhcF9dnCdGRiGJajubl5qasmrrPOOvnBD36Qbt1W7v9txo0b13pG+LnnnstvfvObDBo0qE23ril9+vTJsGHDlnrPNACw2FXjJ+RvK3C/RXNfz9uP3pHtB/6PFboIZ3t0yCGHtMbwO7bddtvsuOOOFS2C1SeGYTkefvjhvPTSS63He+211yq93/fQQw9d6uXRt956a4eJ4S5dunSYrQCwtk35/n98YAwveHlGXrv13/OFg/bLaaNPSdeuXdfKtrZ24IEH5pJLLsnChQtbb/ugj5qE9k4Mw3Is+xLpAw44YJUeZ7fddstGG22Uv//970mSe+65J+ecc0569+692hsBgPZr7tO/zRt3fTNnnf7l/MsX/rnqOatlgw02yI033pi5c+e23vaxj32swkWw+sQwvIc333wzP/vZz1qPe/funT333HOVHqtr1675zGc+k+9///tJkrfeeiv33XefjyEAgE6qLMvM+e2PM/93t2T8VVfk4x//eNWT2sTAgQOrngBtytWk4T3cfffdS30m4N57752ePXuu8uPtv//+Sx27qjQAdE7looV5895x6f2Xn+UHNzV1mhCGzkgMw3toq5dIv2PXXXdN//79W49//etf54UXXlitxwQA2pdFc1/Paz88Lx/rPSc/+F5Ttthii6onAe9DDMMyZsyYkd///vetx3379l3tD5Pv0qVLPvvZz7YeL3ulagCgY1vw8oy8cuNpOWSvj2f8VVemT58+VU8CPoAYhmXcdtttKcuy9XifffZJjx49Vvtxlz273NafYQwAVGPu07/NKzefnTNGnZQzT/tyh71iNNRNseR/9C9rxx13LN+56A8AAPDfRpx8an7zX39Pt1f/mqsuH+v9wdAO7bTTTr8ty3K39/qaq0kDAMAq6NGtWzYuX8u1N3l/MHREYhgAAFbBv519Rnr37p3evXtXPQVYBWIYAABWwcYbb1z1BGA1uIAWAAAAtSOGAQAAqB0xDAAAQO2IYQAAAGpHDAMAAFA7YhgAAIDaEcMAAADUjhiGDqK5uTkPP/xwyrKsegoAAHR4Yhg6iObm5owdOzZf/epXs2DBgqrnAABAhyaGoYPo1q1brr/++syePTsnnnhiXnvttaonAQBAhyWGoQPp3bt3Lr/88my//fZpbGzMjBkzqp4EAAAdkhiGDqZr164544wz0tjYmCFDhuR3v/td1ZMAAKDDEcPQQR1xxBG58MILM3r06Nx+++1VzwEAgA5FDEMHtscee2TChAn51re+lXHjxrnSNAAArCAxDB3cdtttl6ampvzyl7/MWWedlXnz5lU9CQAA2j0xDJ3AxhtvnO9+97tZuHBhjjvuuMyePbvqSQAA0K6JYegkevXqlUsvvTS77rprGhsb8/TTT1c9CQAA2i0xDJ1Ily5dcvLJJ+e4447L8OHD88gjj1Q9CQAA2iUxDJ3QF77whVx66aU544wz8n//7/+teg4AALQ7Yhg6qU984hO5/vrrM2HChHzzm99Mc3Nz1ZMAAKDdEMPQiX3kIx/JlClTMm3atJx22mmZO3du1ZMAAKBdEMPQyfXr1y/XXnttevbsmaOPPjovv/xy1ZMAAKByYhhqoEePHvna176WvffeOw0NDfnTn/5U9SQAAKiUGIaaKIoiJ554Yk4++eQce+yxefDBB6ueBAAAlRHDUDOf+9zncsUVV+S8887LTTfdVPUcAACohBiGGvqnf/qnTJo0KTfddFMuvvjiLFq0qOpJAACwVolhqKmtttoqU6ZMyZ///OeMGjUqc+bMqXoSAACsNWIYamy99dbLd77znfTv3z/Dhg3LCy+8UPUkAABYK8Qw1Fz37t0zZsyYHHTQQWloaMj06dOrngQAAGucGAZSFEWGDx+es88+OyeddFLuu+++qicBAMAa1a3qAUD78ZnPfCabbbZZRo0alZkzZ2bo0KEpiqLqWQAA0OacGQaWsuOOO6apqSk//vGPc8EFF2TBggVVTwIAgDYnhoF3GTBgQCZNmpQXXnghI0aMyOuvv171JAAAaFNiGHhPffr0ybe+9a1ss802GTp0aGbOnFn1JAAAaDNiGFiubt265eyzz87//t//O0OHDs20adOqngQAAG1CDAMfqKGhIV/96ldz8skn56677qp6DgAArDYxDKyQvfbaK9dcc03Gjh2bq6++OmVZVj0JAABWmRgGVtj222+fpqam/OxnP8u//du/Zf78+VVPAgCAVSKGgZXSv3//XHfddZkzZ06OP/74vPrqq1VPAgCAlSaGgZXWu3fvjB07NjvvvHMaGhryzDPPVD0JAABWihgGVkmXLl1y6qmnZvjw4TnqqKMyderUqicBAMAKE8PAavniF7+Yr3/96znttNNy6623Vj0HAABWiBgGVtsnP/nJXHfddRk/fnyuvPLKNDc3Vz0JAADelxgG2sQ222yTpqamTJ06NWeeeWbefvvtqicBAMByiWGgzWy44YaZMGFCiqLIMccck5dffrnqSQAA8J7EMNCmevbsmYsvvjiDBw9OY2NjnnrqqaonAQDAu4hhoM0VRZEvfelL+dKXvpRjjjkmDz30UNWTAABgKWIYWGMOOeSQjB07Nuecc05uvvnmqucAAEArMQysUbvuumsmTZqUyZMn59JLL82iRYuqngQAAGIYWPO23nrrTJkyJY8//nhGjx6dt956q+pJAADUnBgG1or1118/V199ddZbb70cddRRefHFF6ueBABAjYlhYK3p3r17/v3f/z377bdfGhsb88QTT1Q9CQCAmhLDwFpVFEWOPfbYnHbaaTn++OPzwAMPVD0JAIAa6lb1AKCe9t9//2y22WY55ZRTcvTRR6ehoSFFUVQ9CwCAmnBmGKjMzjvvnMmTJ+eHP/xhLrzwwixcuLDqSQAA1IQYBiq1xRZbZNKkSZk5c2ZGjhyZN998s+pJAADUgBgGKrfuuuvmqquuypZbbpkhQ4bk+eefr3oSAACdnBgG2oVu3brl3HPPzb/8y79kyJAheeyxx6qeBABAJyaGgXajKIoMGTIkX/nKV/KlL30pd999d9WTAADopMQw0O7ss88+ufrqq3PJJZdk4sSJKcuy6kkAAHQyYhholwYOHJimpqb89Kc/zZgxY7JgwYKqJwEA0ImIYaDd2nTTTXP99dfnlVdeyYknnpjXXnut6kkAAHQSYhho13r37p3LL788O+ywQxobGzNjxoyqJwEA0AmIYaDd69q1a04//fQMGTIkQ4cOze9+97uqJwEA0MGJYaDDOPzww3PhhRdm9OjRuf3226ueAwBAByaGgQ5l8ODBmTBhQq666qqMGzfOlaYBAFglYhjocLbbbrtMmTIlv/rVr3LWWWdl3rx5VU8CAKCDEcNAh7Txxhtn4sSJWbhwYY477rjMnj276kkAAHQgYhjosHr16pVLL700u+22WxoaGvL0009XPQkAgA5CDAMdWpcuXTJq1KiccMIJGT58eB5++OGqJwEA0AGIYaBT+Od//udcdtllOfPMM3PLLbdUPQcAgHZODAOdxqBBg3LDDTdk4sSJ+eY3v5nm5uaqJwEA0E6JYaBT+fCHP5wpU6Zk2rRpOe200zJ37tyqJwEA0A6JYaDT6devX6699tr06tUrRx99dGbNmlX1JAAA2hkxDHRKPXr0yIUXXph99tknDQ0N+dOf/lT1JAAA2hExDHRaRVHkhBNOyOjRo3PcccflwQcfrHoSAADthBgGOr0DDzwwV1xxRc4777zcdNNNVc8BAKAdEMNALeyyyy6ZNGlSvve97+Wiiy7KokWLqp4EAECFxDBQG1tttVUmT56cp556KqNGjcqcOXOqngQAQEXEMFAr6623Xr7zne+kf//+GTZsWF544YWqJwEAUAExDNRO9+7dM2bMmBx88MFpaGjI9OnTq54EAMBaJoaBWiqKIkcddVTOOeecnHTSSbnvvvuqngQAwFrUreoBAFXad999M2DAgIwaNSozZ87M0KFDUxRF1bMAAFjDnBkGam/HHXdMU1NTfvzjH+eCCy7IggULqp4EAMAaJoYBkgwYMCCTJk3Kiy++mBEjRuT111+vehIAAGuQGAZo0adPn1x55ZXZdtttM2TIkMycObPqSQAArCFiGGAJ3bp1y1lnnZUjjjgiQ4YMybRp06qeBADAGiCGAd7DkUcemfPPPz8nn3xy7rrrrqrnAADQxsQwwHLstddeueaaazJ27NhcffXVKcuy6kkAALQRMQzwPrbffvs0NTXl5z//ec4999zMnz+/6kkAALQBMQzwAfr375/rrrsuc+fOzfHHH59XX3216kkAAKwmMQywAtZZZ5184xvfyM4775zGxsY888wzVU8CAGA1iGGAFdSlS5eceuqpGT58eI466qhMnTq16kkAAKwiMQywkg477LBcdNFFOe2003LrrbdWPQcAgFUghgFWwe67757rrrsu48ePz5VXXpnm5uaqJwEAsBLEMMAq2mabbdLU1JSpU6fmjDPOyNtvv131JAAAVpAYBlgNG264YSZMmJAuXbrkmGOOycsvv1z1JAAAVoAYBlhNPXv2zMUXX5w99tgjjY2Neeqpp6qeBADABxDDAG2gKIqMGDEiI0eOzDHHHJOHHnqo6kkAALwPMQzQhg4++OCMHTs255xzTm6++eaq5wAAsBxiGKCN7brrrpk0aVImT56cSy+9NIsWLap6EgAAyxDDAGvA1ltvnSlTpuSJJ57I6NGj89Zbb1U9CQCAJYhhgDVk/fXXz/jx47P++uvnqKOOyosvvlj1JAAAWohhgDWoe/fuueCCC7LffvulsbExTzzxRNWTAACIGAZY44qiyLHHHpvTTz89J5xwQu6///6qJwEA1F63qgcA1MV+++2XzTbbLKecckpmzJiRxsbGFEVR9SwAgFpyZhhgLdppp50yefLk3HLLLbnwwguzcOHCqicBANSSGAZYyzbffPNMnjw5M2fOzMiRI/Pmm29WPQkAoHbEMEAF+vbtm6uuuipbbrllhgwZkueff77qSQAAtSKGASrSrVu3nHvuuTnssMMyZMiQPPbYY1VPAgCoDTEMUKGiKNLY2JivfOUrGTlyZO6+++6qJwEA1IIYBmgH9tlnn4wfPz6XXHJJJkyYkLIsq54EANCpiWGAdmLgwIFpamrK3XffnTFjxmTBggVVTwIA6LTEMEA7summm+b666/PK6+8khNPPDGvvfZa1ZMAADolMQzQzvTu3TuXX355dthhhzQ2NubZZ5+tehIAQKcjhgHaoa5du+b000/PkCFDMnTo0Pzud7+rehIAQKcihgHascMPPzxf+9rXMnr06Nx+++1VzwEA6DTEMEA7N3jw4EycODFXXXVVxo0b50rTAABtQAwDdAAf/ehHM2XKlPzqV7/KmWeemXnz5lU9CQCgQxPDAB3ExhtvnIkTJ6a5uTnHHXdcZs+eXfUkAIAOSwwDdCC9evXKJZdckt122y0NDQ15+umnq54EANAhiWGADqZLly4ZNWpUTjzxxAwfPjwPP/xw1ZMAADocMQzQQX3+85/PZZddlrPOOiu33HJL1XMAADoUMQzQgQ0aNCjXX399Jk6cmLFjx6a5ubnqSQAAHYIYBujgPvzhD6epqSmPPvpovvzlL2fu3LlVTwIAaPfEMEAnsMEGG+Taa6/NOuusk+HDh2fWrFlVTwIAaNfEMEAn0aNHj1x44YX59Kc/nYaGhjz55JNVTwIAaLfEMEAnUhRFTjjhhIwePTrHH398fvGLX1Q9CQCgXRLDAJ3QgQcemCuuuCJjxozJTTfdVPUcAIB2RwwDdFK77LJLJk+enO9973u56KKLsmjRoqonAQC0G2IYoBPbcsstM3ny5PzlL3/JqFGjMmfOnKonAQC0C2IYoJNbb731Mm7cuPTv3z/Dhg3LCy+8UPUkAIDKiWGAGujevXvGjBmTQw45JA0NDZk+fXrVkwAAKiWGAWqiKIoMGzYs55xzTk466aTcd999VU8CAKhMt6oHALB27bvvvhkwYEBGjRqVGTNmZNiwYSmKoupZAABrlTPDADW04447pqmpKbfffnvOP//8LFiwoOpJAABrlRgGqKkBAwbkhhtuyKxZszJixIi8/vrrVU8CAFhrxDBAjfXp0ydXXnlltt122wwZMiQzZ86sehIAwFohhgFqrmvXrjnrrLNyxBFHZMiQIZk2bVrVkwAA1jgxDECS5Mgjj8z555+fk08+OXfeeWfVcwAA1igxDECrvfbaK9dcc02++c1v5uqrr05ZllVPAgBYI8QwAEvZfvvt09TUlJ///Oc599xzM3/+/KonAQC0OTEMwLv0798/1113XebOnZvjjjsur776atWTAADalBgG4D2ts846+cY3vpFddtklDQ0NeeaZZ6qeBADQZsQwAMvVpUuXjB49OkcffXSGDRuWqVOnVj0JAKBNiGEAPtBhhx2Wiy++OKeddlp+9KMfVT0HAGC1iWEAVsjuu++e6667LldffXWuvPLKNDc3Vz0JAGCViWEAVtg222yTpqamTJ06NWeccUbefvvtqicBAKwSMQzAStlwww0zYcKEdO3aNcccc0xefvnlqicBAKw0MQzASuvZs2cuuuii7LHHHmlsbMxTTz1V9SQAgJUihgFYJUVRZMSIERk5cmSOOeaYPPTQQ1VPAgBYYWIYgNVy8MEHZ+zYsTnnnHNy8803Vz0HAGCFiGEAVtuuu+6aSZMmZfLkybnkkkuyaNGiqicBALwvMQxAm9h6660zZcqUPPnkkznllFPy1ltvVT0JAGC5xDAAbWb99dfP+PHjs8EGG+Soo47Kiy++WPUkAID3JIYBaFPdu3fPBRdckP322y8NDQ15/PHHq54EAPAuYhiANlcURY499ticccYZOeGEE3L//fdXPQkAYCndqh4AQOe13377ZbPNNsspp5ySGTNmpLGxMUVRVD0LAMCZYQDWrJ122imTJ0/OLbfckgsvvDALFy6sehIAgBgGYM3bfPPNM3ny5MycOTMjR47Mm2++WfUkAKDmxDAAa0Xfvn1z1VVXZcstt8yQIUPy/PPPVz0JAKgxMQzAWtOtW7ece+65Oeyww9LY2Jg//OEPVU8CAGpKDAOwVhVFkcbGxpx33nkZOXJk7r777qonAQA1JIYBqMQ+++yTq6++OpdcckkmTJiQsiyrngQA1IgYBqAyAwcOTFNTU+6+++6cd955WbBgQdWTAICaEMMAVGrTTTfN9ddfn1dffTUnnHBCXnvttaonAQA1IIYBqFzv3r1z+eWXZ+DAgWlsbMyzzz5b9SQAoJMTwwC0C127ds3pp5+eIUOGZOjQofntb39b9SQAoBMTwwC0K4cffni+9rWv5dRTT81tt91W9RwAoJMSwwC0O4MHD87EiRPz7W9/O9/+9rddaRoAaHNiGIB26aMf/WimTJmShx56KGeeeWbmzZtX9SQAoBMRwwC0WxtvvHEmTpyY5ubmHHvssZk9e3bVkwCATkIMA9Cu9erVK5dcckkGDRqUhoaGPP3001VPAgA6ATEMQLvXpUuXjBo1KieeeGKGDx+ehx9+uOpJAEAHJ4YB6DA+//nP57LLLsuZZ56ZH/7wh1XPAQA6MDEMQIcyaNCg3HDDDfnud7+bsWPHprm5uepJAEAHJIYB6HA+/OEPp6mpKY8++mi+/OUvZ+7cuVVPAgA6GDEMQIe0wQYb5Nprr80666yT4cOHZ9asWVVPAgA6EDEMQIfVo0ePXHjhhfn0pz+dhoaGPPnkk1VPAgA6CDEMQIdWFEVOOOGEjB49Oscff3x+8YtfVD0JAOgAxDAAncKBBx6YK664ImPGjMmNN95Y9RwAoJ0TwwB0GrvssksmT56c73//+/n617+eRYsWVT0JAGinxDAAncqWW26ZyZMn5+mnn86oUaMyZ86cqicBAO2QGAag01lvvfUybty49O/fP0OHDs0LL7yw0o+xYMGCnHn2uXn66afXwEIAoGpiGIBOqXv37hkzZkwOPfTQNDQ0ZPr06Sv8vWVZ5rzz/z13/uT2/PrXv16DKwGAqohhADqtoigybNiwnHPOOTnppJNy3333rdD3TfzudXlg6qNZf4+GTH/iT2t4JQBQhW5VDwCANW3ffffNgAEDMmrUqDz77LM56qijUhTFe973nnvuybXXT06/f700C155Po9P/4+1vBYAWBucGQagFnbcccc0NTXljjvuyPnnn58FCxa86z7Tp0/PuWPOz3qf/7d0W69/emz8oTz7X0+lLMsKFgMAa5IYBqA2BgwYkBtuuCGzZs3KiBEj8vrrr7d+7W9/+1tOGDEyfT8zMj0HfDRJ0rXPBimLrpk1a1ZVkwGANUQMA1Arffr0yZVXXpltt902Q4YMyYwZM/Lmm2/mmBNGpNsuh6b3xz651P17b/LhPPXUUxWtBQDWFO8ZBqB2unbtmrPOOis33nhjhgwZkk022zJz+m2Xvrt94d133nCr/PnPf87gwYPX/lAAYI1xZhiA2jryyCMzcMed8vQr89P3f53w3hfV2vBD+eMTf1774wCANUoMA1Bbk6c0ZdqT/5VNvjgmRdf3frFU940/lCf/JIYBoLMRwwDU0gMPPJBvfeearPfPX0mXXn2Xe78e/bfOc3/9rzQ3N6/FdQDAmiaGAaidJ598Mmec/W9Z/9Cz032DAe973y49+6R773Xz3HPPraV1AMDaIIYBqJVZs2bluJO+lN6fPj49txi4Qt/Ta5MPuaI0AHQyYhiA2njrrbdy7IlfSpeB+6XPwL1W+Pua+22dP/3Z+4YBoDMRwwDUQnNzc049/ay8ss7m6bP74Sv1vV022toVpQGgk/E5wwDUwrUTJuZXD96ffv+4b9782fik6JIyRVJ0Wfznln/eOU6XLila/rzw9Vn53bO/q/opAABtSAwDUAt77fmpbLRhvzQ3N2fRokWt/1uW5VLHzc3NWbhoURYtWpSFi5rT3NycOXP6ZM6mu1X9FACANiSGAaiFgQMHZuDAFbtgFgDQ+XnPMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO64mDQCr4bnnnssBBxzwvvfp1q1bunfvnnXXXTcbbbRRtthii2y77bbZeeeds+uuu6ZPnz5raS0A8A4xDABr2MKFC7Nw4cLMnTs3L730Uh5//PHce++9SZKePXtmzz33zJFHHplBgwZVvBQA6sPLpAGgQvPmzcu9996bo48+Oscff3xmzJhR9SQAqAVnhgGgDW2yySaZNGnSUreVZZk5c+bk9ddfz+zZszN9+vRMmzYtjz76aJqbm1vv95//+Z854ogjctlll2Xw4MFrezoA1IoYBoA21K1bt2yxxRbve5/9998/SfLss89m8uTJ+cEPfpBFixYlSd54442MGjUq48ePz2677bbG9wJAXXmZNABUZOutt865556ba665JhtuuGHr7fPmzcsZZ5yRV199tbpxANDJiWEAqNgnPvGJXH311enRo0frbbNmzcq4ceMqXAUAnZsYBoB2YIcddsjo0aOXuu2HP/xhXnnllYoWAUDnJoYBoJ04/PDDl3q59Pz583P77bdXuAgAOi8xDADtRI8ePfKFL3xhqdsefPDBitYAQOcmhgGgHfnEJz6x1PEf/vCHlGVZ0RoA6LzEMAC0I//wD/+Qoihaj+fMmZPnnnuuwkUA0DmJYQBoR9Zbb71stNFGS932wgsvVLQGADovMQwA7cy666671LHPGwaAtieGAaCdWTaG33777YqWAEDnJYYBoJ1xwSwAWPPEMAC0M2+88cZSx7169apoCQB0XmIYANqZZWO4X79+FS0BgM5LDANAO/Laa69l9uzZS902YMCAitYAQOclhgGgHfnjH/+41HuG+/btm80337zCRQDQOYlhAGhHHnnkkaWOd9555xRFUdEaAOi8xDAAtBPz5s3Lj370o6Vu22uvvaoZAwCdnBgGgHbi5ptvziuvvNJ63KNHj3zuc5+rcBEAdF5iGADagccffzyXX375UrcddthhriQNAGuIGAaAik2dOjUnnnhi5s+f33pb//79M2LEiApXAUDn1q3qAQBQVzNmzMjkyZNz8803Z9GiRa239+zZM5deemk22GCD6sYBQCcnhgGgDS1cuDDPPffcUreVZZk5c+bkjTfeyOzZs/PHP/4xjz76aKZNm5bm5ual7rvuuuvmsssuy6677ro2ZwNA7YhhAGhDL730Ug444IBV+t5PfvKT+cpXvpKtttqqjVcBAMsSwwBQoZ49e2bPPffMkUcemUGDBlU9BwBqQwwDwBrWpUuX9OjRI3379s3GG2+cLbbYIttss0122WWX7LrrrunTp0/VEwGgdsQwAKyGLbbYIo899ljVMwCAleSjlQAAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHbEMAAAALUjhgEAAKgdMQwAAEDtiGEAAABqRwwDAABQO2IYAACA2hHDAAAA1I4YBgAAoHaKsiyX/8WimJXkr2tvDgAAALSZD5Vl2f+9vvC+MQwAAACdkZdJAwAAUDtiGAAAgNoRwwAAANSOGAYAAKB2xDAAAAC18/8DevDWi71Xv/AAAAAASUVORK5CYII=\n", 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" + "
" ] }, "metadata": {}, @@ -2284,7 +2330,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "id": "ed52ca18", "metadata": {}, "outputs": [ @@ -2432,7 +2478,7 @@ "4 0.00 " ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2448,7 +2494,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "id": "8a001fb3", "metadata": { "pycharm": { @@ -2481,7 +2527,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "id": "86101299", "metadata": { "pycharm": { @@ -2556,7 +2602,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 26, "id": "8d6dd3a9", "metadata": { "pycharm": { @@ -2673,7 +2719,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 27, "id": "3ae1b8de", "metadata": { "pycharm": { @@ -2683,12 +2729,14 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2707,12 +2755,15 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 28, "id": "31c3e975", "metadata": { "pycharm": { "name": "#%%\n" - } + }, + "tags": [ + "remove_output" + ] }, "outputs": [ { @@ -2721,9 +2772,15 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (6000/24000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (12000/24000)\n", @@ -2731,36 +2788,38 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (24000/24000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (24000/24000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 6.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.67 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 7.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2776,12 +2835,15 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 29, "id": "2ddc17e5", "metadata": { "pycharm": { "name": "#%%\n" - } + }, + "tags": [ + "remove_output" + ] }, "outputs": [ { @@ -2790,9 +2852,15 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (6000/24000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (12000/24000)\n", @@ -2800,32 +2868,34 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (24000/24000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (24000/24000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 2.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] }, { "data": { - "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2842,12 +2912,15 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 30, "id": "da523599", "metadata": { "pycharm": { "name": "#%%\n" - } + }, + "tags": [ + "remove_output" + ] }, "outputs": [ { @@ -2856,9 +2929,15 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (6000/24000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (12000/24000)\n", @@ -2866,36 +2945,38 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (24000/24000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (24000/24000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", - " Gradient evaluation took 8e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 1.8e-05 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Gradient evaluation took 3.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.32 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", - " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", + " Adjust your expectations accordingly!\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2911,12 +2992,15 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 31, "id": "9d7190e1", "metadata": { "pycharm": { "name": "#%%\n" - } + }, + "tags": [ + "remove_output" + ] }, "outputs": [ { @@ -2925,9 +3009,15 @@ "text": [ "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", - "Warning: The parameter sigma has no priors.\n", - "Warning: The parameter beta has no priors.\n", - "Warning: The parameter alpha has no priors.\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter beta has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", "\u001b[36mSampling:\u001b[0m 0%\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (6000/24000)\n", "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (12000/24000)\n", @@ -2935,32 +3025,38 @@ "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (24000/24000)\n", "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (24000/24000), done.\n", "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", " Gradient evaluation took 1.1e-05 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", - " Adjust your expectations accordingly!\n", - " Gradient evaluation took 9e-06 seconds\n", - " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", " Adjust your expectations accordingly!\n", " Gradient evaluation took 9e-06 seconds\n", " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", " Adjust your expectations accordingly!\n", " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", - " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_3rhrcnqx/model_53f5vz75.stan', line 24, column 12 to column 85)\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_ogqljami/model_q3pc3gv7.stan', line 24, column 12 to column 85)\n", " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -3281,7 +3379,7 @@ "\n", "----\n", "\n", - "Dados pode ser encontrado [aqui])(https://github.com/rmcelreath/rethinking/blob/master/data/milk.csv)" + "Dados pode ser encontrado [aqui](https://github.com/rmcelreath/rethinking/blob/master/data/milk.csv)" ] }, { @@ -3302,7 +3400,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "id": "9b4f61fb", "metadata": { "pycharm": { @@ -3729,7 +3827,7 @@ "28 9.84 39.67 54.95 75.49 " ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -3744,7 +3842,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "id": "e477a23a", "metadata": { "pycharm": { @@ -3880,7 +3978,7 @@ "max 76.300000 " ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -3895,7 +3993,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "id": "02fbc6d6", "metadata": { "pycharm": { @@ -3973,7 +4071,7 @@ "4 0.60 NaN 0.783902" ] }, - "execution_count": 33, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -3990,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "id": "4e092341", "metadata": { "pycharm": { @@ -4000,12 +4098,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -4044,12 +4144,24 @@ } }, "source": [ + "52:51\n", + "\n", + "No próximo capítulo, iremos descrever apenas os códigos. \n", + "\n", + "Comecei a ler o livro do início e todas as explicações a seguir podem ser encontradas no próprio livro.\n", + "\n", + "Como dito anteriormente, esse material irá fornecer todos os códigos em linguagem $Python3$ usando diretamente a biblioteca $Stan$ em conjunto com a wrapper $PyStan$. \n", + "\n", + "Para usuários do $R$, exite um Wrapper para $RStan$ para uma possível codificação sem utilizar a biblioteca $Rethinking$ do próprio livro.\n", + "\n", + "---\n", "\n", - "Parei no 52:51.\n" + "Dúvidas ou sugestões acesse a parte inicial desse material para entrar em contato." ] } ], "metadata": { + "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", diff --git a/_sources/parte_6.ipynb b/_sources/parte_6.ipynb new file mode 100644 index 0000000..cb4434e --- /dev/null +++ b/_sources/parte_6.ipynb @@ -0,0 +1,5317 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7f0fa330", + "metadata": {}, + "source": [ + "# 6 - Os DAGs assombrados & O Terror Causal" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d8ce19a2", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from videpy import Vide\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f8f700da", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "a0036b6d", + "metadata": {}, + "source": [ + "### RCode 6.1 - Pag 162" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8212db99", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Noticiabilidade(newsworthiness): \n", + "\n", + " [ 0.82456357 1.85614543 0.85556981 1.4066898 1.6026727 1.42256068\n", + " 0.71166144 1.30222516 0.56454812 3.02039213 0.93879118 1.04202561\n", + " -0.4640972 0.12272254 1.99579665 1.59807671 1.82853378 1.15394068\n", + " 1.48966066 1.22640255] \n", + "\n", + "\n", + "Confiabilidade(trustworthiness):\n", + "\n", + " [ 1.24510334 1.29709756 2.10293057 0.66088341 1.76728533 0.64448519\n", + " 1.17598088 0.35356094 1.08805257 -0.72327249 1.31462133 1.54253157\n", + " 2.8128998 1.51862223 1.18048237 2.31948695 -0.09763283 0.87205345\n", + " 0.74979249 0.46329186] \n", + "\n", + "\n", + "Correlação: [19.93737242]\n" + ] + } + ], + "source": [ + "np.random.seed(1914)\n", + "\n", + "N = 200\n", + "p = 0.1\n", + "\n", + "# Não correlacionado noticiabilidade(newsworthiness) e confiabilidade(trustworthiness)\n", + "nw = np.random.normal(0, 1, N)\n", + "tw = np.random.normal(0, 1, N)\n", + "\n", + "# Selecionando os 10% melhores\n", + "s = nw + tw # Score total\n", + "q = np.quantile(s, 1-p) # Top 10% \n", + "selected = [ True if s_i >= q else False for s_i in s ]\n", + "print('Noticiabilidade(newsworthiness): \\n\\n', nw[selected], '\\n\\n')\n", + "print('Confiabilidade(trustworthiness):\\n\\n', tw[selected], '\\n\\n')\n", + "\n", + "print('Correlação: ', np.correlate(tw[selected], nw[selected]))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4b233953", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.scatter(tw, nw, s=6, color='gray')\n", + "plt.scatter(tw[selected], nw[selected], s=7, color='blue')\n", + "\n", + "plt.title('Figure 6.1 - Pag162')\n", + "plt.xlabel('Noticiabilidade ($newsworthiness$)')\n", + "plt.ylabel('Confiabilidade ($trustworthiness$)')\n", + "\n", + "plt.grid(ls='--', color='white', alpha=0.3)" + ] + }, + { + "cell_type": "markdown", + "id": "57a1c5ce", + "metadata": {}, + "source": [ + "### RCode 6.2 - pag163\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "79a4fa5d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " height leg_left leg_right\n", + "0 8.463728 4.094675 4.078446\n", + "1 9.854070 4.776475 4.687749\n", + "2 8.668694 4.192607 4.256472\n", + "3 7.523768 3.088674 3.088206\n", + "4 9.381352 4.093217 4.048181" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 100\n", + "\n", + "np.random.seed(909) # Teste com outras sementes\n", + "\n", + "height = np.random.normal(10, 2, N)\n", + "\n", + "leg_proportion = np.random.uniform(0.4, 0.5, N)\n", + "\n", + "leg_left = np.random.left = leg_proportion * height + np.random.normal(0, 0.02, N)\n", + "leg_right = np.random.left = leg_proportion * height + np.random.normal(0, 0.02, N)\n", + "\n", + "\n", + "df = pd.DataFrame({'height': height, \n", + " 'leg_left': leg_left, \n", + " 'leg_right': leg_right})\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "254c1124", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.scatter(leg_right, leg_left, s=5, alpha=0.3)\n", + "\n", + "plt.title('Dados dos legs')\n", + "plt.xlabel('Leg Right')\n", + "plt.ylabel('Leg Left')\n", + "\n", + "plt.grid(ls='--', color='white', alpha=0.4)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c7175e74", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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(in '/tmp/httpstan_39c5vric/model_fow2wtab.stan', line 22, column 8 to column 86)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] height;\n", + " vector[N] leg_left;\n", + " vector[N] leg_right;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta_left;\n", + " real beta_right;\n", + " real sigma; \n", + " }\n", + " \n", + " model {\n", + " alpha ~ normal(10, 100);\n", + " beta_left ~ normal(2, 10);\n", + " beta_right ~ normal(2, 10);\n", + " sigma ~ exponential(1);\n", + " \n", + " height ~ normal(alpha + beta_left * leg_left + beta_right * leg_right, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'height': height,\n", + " 'leg_left': leg_left,\n", + " 'leg_right': leg_right\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)\n", + "\n", + "alpha = samples['alpha'].flatten()\n", + "beta_left = samples['beta_left'].flatten()\n", + "beta_right = samples['beta_right'].flatten()\n", + "sigma = samples['sigma'].flatten()" + ] + }, + { + "cell_type": "markdown", + "id": "1c7fb431", + "metadata": {}, + "source": [ + "### RCode 6.4 - pag164" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "31bd1301", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.940.340.341.54
beta_left-1.522.04-5.032.40
beta_right3.522.03-0.307.06
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.94 0.34 0.34 1.54\n", + "beta_left -1.52 2.04 -5.03 2.40\n", + "beta_right 3.52 2.03 -0.30 7.06\n", + "sigma 0.66 0.05 0.58 0.75" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e44280e7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples, title='Leg right & Leg left')" + ] + }, + { + "cell_type": "markdown", + "id": "f1954153", + "metadata": {}, + "source": [ + "### RCode 6.5 - pag164" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "06d140e7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.scatter(beta_right, beta_left, s=5, alpha=0.3)\n", + "\n", + "plt.title('Posteriori Beta legs')\n", + "plt.xlabel('Beta Right')\n", + "plt.ylabel('Beta Left')\n", + "\n", + "plt.grid(ls='--', color='white', alpha=0.4)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e67bc4c5", + "metadata": {}, + "source": [ + "### RCode 6.6 - pag 165" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "89ba1e67", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.hist((beta_left + beta_right), density=True, alpha=0.8, bins=100, rwidth=0.9)\n", + "\n", + "plt.title('Posteriori')\n", + "plt.xlabel('Soma de Beta_left e beta_right')\n", + "plt.ylabel('Densidade')\n", + "\n", + "plt.grid(ls='--', color='white', alpha=0.4)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "740fc814", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Comparação com os beta indivíduais\n", + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.hist(beta_left, density=True, alpha=0.8, bins=100, rwidth=0.9) # Beta left\n", + "\n", + "plt.hist(beta_right, density=True, alpha=0.8, bins=100, rwidth=0.9) # Beta Right\n", + "\n", + "plt.title('Comparativo entre as Posterioris de Beta Left e Beta Right')\n", + "plt.xlabel('Betas')\n", + "plt.ylabel('Densidade')\n", + "\n", + "plt.grid(ls='--', color='white', alpha=0.1)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6ad90f92", + "metadata": {}, + "source": [ + "### RCode 6.7 - Pag 166" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "01dcbd5a", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_jd5k56to/model_5wzmeslf.stan', line 19, column 54: A\n", + " normal distribution is given parameter sigma as a scale parameter\n", + " (argument 2), but sigma was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_jd5k56to/model_5wzmeslf.stan', line 17, column 8: Parameter\n", + " sigma is given a exponential distribution, which has strictly positive\n", + " support, but sigma was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_jd5k56to/model_5wzmeslf.stan', line 15, column 27: Argument\n", + " 100 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -0.7425, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " Gradient evaluation took 1.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -1.61947, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " Gradient evaluation took 7.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.72 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.207287, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -0.643273, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -1.11551, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.177542, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -0.558744, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.776509, but must be nonnegative! (in '/tmp/httpstan_xcgeqomu/model_5wzmeslf.stan', line 17, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] leg_left;\n", + " vector[N] height;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta_left;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " alpha ~ normal(10, 100);\n", + " beta_left ~ normal(2, 10);\n", + " sigma ~ exponential(1);\n", + " \n", + " height ~ normal(alpha + beta_left * leg_left, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(height),\n", + " 'leg_left': leg_left,\n", + " 'height': height,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)\n", + "\n", + "alpha = samples['alpha'].flatten()\n", + "beta_left = samples['beta_left'].flatten()\n", + "sigma = samples['sigma'].flatten()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "8662c085", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.830.320.251.40
beta_left2.020.071.902.14
sigma0.670.050.580.75
\n", + "
" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.83 0.32 0.25 1.40\n", + "beta_left 2.02 0.07 1.90 2.14\n", + "sigma 0.67 0.05 0.58 0.75" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# RCode 6.7 - Continuação\n", + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "b0dd7405", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " kcal.per.g perc.fat perc.lactose\n", + "0 -0.940041 -1.217243 1.307262\n", + "1 -0.816126 -1.030355 1.011285\n", + "2 -1.125913 -1.391531 1.382679\n", + "3 -1.001998 -1.335535 1.586874\n", + "4 -0.258511 -0.469693 0.257115" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('data/milk.csv', sep=';')\n", + "\n", + "df_std = df[['kcal.per.g', 'perc.fat', 'perc.lactose']].copy()\n", + "\n", + "df_std['kcal.per.g'] = (df_std['kcal.per.g'] - df_std['kcal.per.g'].mean()) / df_std['kcal.per.g'].std()\n", + "df_std['perc.fat'] = (df_std['perc.fat'] - df_std['perc.fat'].mean()) / df_std['perc.fat'].std()\n", + "df_std['perc.lactose'] = (df_std['perc.lactose'] - df_std['perc.lactose'].mean()) / df_std['perc.lactose'].std()\n", + "\n", + "df_std.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c9a0786c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "kcal.per.g 0\n", + "perc.fat 0\n", + "perc.lactose 0\n", + "dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Não tem nenhum 'missing values'\n", + "\n", + "df_std.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "id": "a2a0a1c7", + "metadata": {}, + "source": [ + "### R Code 6.9 - Pag 167" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "01800c46", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "# kcal.per.g regredido em perc.fat\n", + "\n", + "model_kf = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] outcome;\n", + " vector[N] predictor;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " alpha ~ normal(0, 0.2);\n", + " beta ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " \n", + " outcome ~ normal(alpha + beta * predictor, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data_kf = {\n", + " 'N': len(df_std['kcal.per.g']),\n", + " 'outcome': list(df_std['kcal.per.g'].values),\n", + " 'predictor': list(df_std['perc.fat'].values),\n", + "}\n", + "\n", + "posteriori_kf = stan.build(model_kf, data=data_kf)\n", + "samples_kf = posteriori_kf.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "4f31f6ca", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "# kcal.per.g regredido em perc.lactose\n", + "\n", + "model_kl = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] outcome;\n", + " vector[N] predictor;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " alpha ~ normal(0, 0.2);\n", + " beta ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " \n", + " outcome ~ normal(alpha + beta * predictor, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data_kl = {\n", + " 'N': len(df_std['kcal.per.g']),\n", + " 'outcome': df_std['kcal.per.g'].values,\n", + " 'predictor': df_std['perc.lactose'].values,\n", + "}\n", + "\n", + "posteriori_kl = stan.build(model_kl, data=data_kl)\n", + "samples_kl = posteriori_kl.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "cb3ee955", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.000.08-0.150.15
beta0.860.090.681.02
sigma0.490.070.360.61
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.00 0.08 -0.15 0.15\n", + "beta 0.86 0.09 0.68 1.02\n", + "sigma 0.49 0.07 0.36 0.61" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples_kf)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "3682ce19", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.00 0.07 -0.14 0.12\n", + "beta -0.90 0.08 -1.04 -0.77\n", + "sigma 0.41 0.06 0.32 0.53" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples_kl)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "7eb79bd9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples_kl, title='perc.lactose')" + ] + }, + { + "cell_type": "markdown", + "id": "4c3bd67a", + "metadata": {}, + "source": [ + "### R Code 6.10 - pag 167" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c1d9331b", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_s69tliti/model_r3zhhfk6.stan', line 22, column 40: A\n", + " normal distribution is given parameter sigma as a scale parameter\n", + " (argument 2), but sigma was not constrained to be strictly positive.\n", + "Warning in '/tmp/httpstan_s69tliti/model_r3zhhfk6.stan', line 20, column 8: Parameter\n", + " sigma is given a exponential distribution, which has strictly positive\n", + " support, but sigma was not constrained to be strictly positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -0.444329, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: exponential_lpdf: Random variable is -0.0103946, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " Gradient evaluation took 2.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.0667496, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.605486, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 5.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -3.09717, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -313.877, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -6.18116, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: exponential_lpdf: Random variable is -0.452598, but must be nonnegative! (in '/tmp/httpstan_u59ke11e/model_r3zhhfk6.stan', line 20, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] F; // Fat\n", + " vector[N] L; // Lactose\n", + " vector[N] K; // kcal/g\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real bF;\n", + " real bL;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " alpha ~ normal(0, 0.2);\n", + " bF ~ normal(0, 0.5);\n", + " bL ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " \n", + " K ~ normal(alpha + bF*F + bL*L, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(df_std['kcal.per.g']),\n", + " 'F': df_std['perc.fat'].values,\n", + " 'L': df_std['perc.lactose'].values,\n", + " 'K': df_std['kcal.per.g'].values,\n", + "}\n", + "\n", + "posteriori_FL = stan.build(model, data=data)\n", + "samples_FL = posteriori_FL.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "2638a212", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples_FL, title='Perc.Fat & Perc.Lactose')" + ] + }, + { + "cell_type": "markdown", + "id": "1f157828", + "metadata": {}, + "source": [ + "### R Code 6.11 - Pag 168 - Figure 6.3" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "871153f9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Y3qejUyVd1J/QvMHDwLLqHab+W5IecfcPu/uHJU1J+vnGxQIAALU6OFHQsydzCsrtPTxyqCeuHWtSStIzDqCD9CRi2rEmpbK7nn41p9Nz3DuO2tTbM/5hSX9qZj8g6RZJPyLp3Q1LBQAAanJ8uqhHDs1JkgqB6+r1vSEnAoDu9PD4nCaygZ47afrQ5YOKx7jwiKXVu874ATP7fkl/LumQpHe7O7OxAADQYrF5QyK5WxEAwnOuBTar/AGWs6Ji3MyeljR/DNwaSXFJf2tmcverGhkOAAAsbaw/oXds71O2WNb2kZoXNgEANNh3bevTocmiNgwkXnehFFjMSnvG72xKCgAAULdNg0yIBgBhy6RiunRdOuwYiJAVFePuPt6sIAAAAAAAdIt6Z1MHAAAAAAB1ohgHAAAAAKDFKMYBAOhSx6aLOjJVDDsGACzpyFRRx6Zpq9B56l1nHAAARNgrk0V95eCsJOltWzLMxA6gLR2YKOjRQ3OSpFu29WnzEBNWonPQMw4AQBfKl8rzvvYlnhm+Y9NFnZgthR0DQAgK89qnQtDebdV8k7lAh84WFJSjkxmtR884AABdaMealAqBq+zSJWvbt1f8pTMFff2VSq/YO3f0acMAvWJAN7lkbUqlsitm0vaRaLz/5wplff7FGZXKrt1rU7r+4kzYkdCmKMaBBdx5b3et4nffR7aGdmxeayAcMTNdPtYTdoxlZef14Gfn9ZBli2Wdmgu0vj+hZNzCiAagBeIx0xUXtX9bNV+x7CpVe8Szi4w8KgSuV2dKWtcXV0+CwcrdimIcAAC0rUtH0yoFrkTctG240ivm7vqbl2Y0ky9rfX9Ct+3sDzklALxmqCeut27O6HQ20N516QWf88UDMzo9F2i4J6737RlocUK0C4pxAABwXr5U1ulsoHWZ9uhxTsRMb9rQ+7ptZa/0jEvSbLG80I8B6FLurldnS+pLxjSQjoeWY8ealHYs8f052jCIYhwAAMxz/0uzmswFbd3jHI+Zbt7ap1cmi9q1pn3vdwfQet85kddTx3NKxEzv292v/hAL8qXctKVPByYK50f8oDtRjAMAAElS2V0zhUCSNJVv796aTYNJbRrkQyyA15uutl2lsmuu5OpfeJR46Mb6ExrrpxTrdvwGAAAASZVJ3W7a0qfxyYJ2rWnTT7AAsISr1/fITBpMxzTWR6mD9sZvKAAAqsxsO5ULtCYTV8zCv1d6MbOFsopl13BPc4ZeXjyU1MVD9DgDiKa+VExv3cxSYis1mQsUNzV1WP+ZuZJ6kzH1Jpk9/hyKcQBA1wvKrs+/OK3pfFk716R0Y5t+kJvIBvrC/mkFZemtWzLaMcL90gCA1Tl0tqCvHpqTSXrXrn6NZhpfIj5zIqdvHcspFTe9b/eAMikKckniVQAAdL1i2c/fZ3gmG4ScZnGT+UBB9VbuiTbOCQCIjjPZQO6VlSqmcs2ZL+TcOasQuGaYQf48esYBAF2vJxHT9Zt6dWS6qL1jPWHHWdTmwaR2j6aVL5V1+SJr1wIAsBKXrktrtlhWMmba2qTZ3a9a36PApaF0TOsy7TnDfRgoxgEAHWM6HyidiClVx/rYu0fT2j3a3gVuPGa6ftOFa25XevX7UzHFY+17rzsAoH4z+UDJuCmdaPzA5p5ETG/f0tfw/c43mI7ru7Y19xgXmsoH6k3ElKzjM0GrUIxHzJ33jocdAR2I3yt0gudO5vWNo1n1Jk137B5QTxM+sLSjRw7N6dDZosb6E3pXm64LDgCo34un83rscFbpROX8lmECtGV950RO3z6WU18qpvde0t+UixiN0PJUZvZmM3vazA62+tgAgGjKFssqBP6G7flSWblS5d6zE7Ol6nO96Wtku7tm8oHK/sZMrXZipvLvPjVbaos8AIDGOnd+y5cqq37g9QqBK3vBfegnq+fG2UJZs4XGfyaY/zmgGLjm6rwPPoye8f2SbpT0hRCODQCImCNTRX3l4KwSMdO7d/VrqLqk15m5ku5/aVZld926o09XXtSjQlBZ8qvZ96M9PD6nVyaL2jiY0K3bw+2NvnZTr144ldf2kVRbL8kGAKjP3rEe5YqugXRMY/0MbJ5vMhfob/bPqFR23by17/zSnFeu71HJc1rbG9dIb+M/EzxyaE7jZ4tak4lrtlDpMHjbloy2Da9slZOW/2+6+7Qk2RIfGMzsbkl3S9KGDRtaEwwA0JaOz5RU9sqV79PZ4HwxfnIuUKlc6Qk+MRPoqvVJ3d6iYdrHZ0oqlV3HpkotOd5Stg2nVnzyBwC0j3yprHjMlFhk3o/hnrhu4zakBZ3OBudHzr06WzpfjI9mmnvr1rHpyvl//GxR/UmTmenV6VL7F+O1cPd7JN0jSXv37mXMHQB0sT1rU5rIBkrFTZsHX5vlddtwUsemSwrctWtta4vRtb1xffVETpuGkioEXteEcQAAvDJZ1FfHZ5WKm/7OJQPqZ/3tFdk8mNSR4aTyJdeeFn4WuGZjZVTaNRt6dCYXaLbgurSOVU5aVoyb2b+Q9D5Jv+vuv9uq4wJAJygGrpipK2bLLrurVNb5Arc/HV+wxzudiOkd21s7M+s5sZi0a23lpDuVDzSaactr2wCANndsuqiyS7mS6/RcSf0pRjqtRDJuunnryj8LrPRzVb5Uft0kcDvXpLRzzer/r1r26cHdf1nSL7fqeADQKQ5OFPToK3PKpGL6O7v6O3qW8ELg+sL+aU3ny3rLpt7zBW+72buuR9liVmt641rbhHvRAADdYc9oWmeygXqTMW0abM4a33i9w5NFPTw+q3Qipvfs6ldmmdEIXx2f1fjZonasSemtmzMNzRLGbOqbzewBSVeY2QNmtq3VGQAgSg5PVa6az+TLOpvt7FlUJ3OBpnJluUuH2+B+7MWM9Sd0x+4B3bg5s+QcKAAALGWoJ673XDKg79rWt+g942isI9XRCNliWafmlv+s8cpk8XV/N1IYE7i9Iun2Vh8XAKLq0tG0zubKGkzHtK6vs4dDr83EtXU4qYlcoMvquPcKAABgKbvXpnV6LlBv0rRhYPnRCFev79H+MwXtbsJovc7+VAcAHWC0L6E79wyEHaMlYma6qY57vwAAAGox0hvXHbtr/1x1+ViPLh/raUoWc2/vycpHRkZ848aNYccAgKY7evSoaO8AdAPaOwDdZN++fe7ub7hFvO17xjdu3KhPf/rTYccAgFU5Ol3U44ezGumN6+1bMgvO3nnXXXfR3gHoCu3U3j15NKvxs0XtHUtr9yi3xwBovCuvvPLJhbZ37pS8ANBGnj+Z10yhrFcmi5rIdfYkbAAQFaWy69mTec0Vy3rmRD7sOAC6DMU4gBVzd714Oq/9p/Nq91td2sWW4ZTMKvcpDaVZCgsA2kEiZrq4upzUtpHGLyt1bLqoZ07klC+VG75vANHX9sPUAbSf/WcKeuxwVlJlwq0da1IhJ2p/O9ektHU4qbiJpbAAoI181/Y+lcre8GWlZvKBvvzyrMouTWQDJqcE8AYU4wBWbP7HlVbWlUeminrpTEE7RlK6eKjxPRjNxvqhAMJw573joRz3vo9sDeW4y8kWy/rmsZwySdPV63tkZs1pn+edIGNchAWwAIpxYBG5UllfPDCrbLGsW7b1dfz6ziuxc01KsZjJJG0faV2v+NcOzakQuI7PlPR3h4ZadlwAQOf4zom8Xp4oSJJGM4mGXNzNFiufGfKB65ZtGY1mEupPxXTbjn6dyQbayQgyAAugugAW8epMSRPZykRbL08UKMbnMTPtaGERfs5QT0wnZwMNppnuAgBQn6HqOSQek/obdD45Nl3S2erknONnixrNVD4zjPUnNNbP5wcAC6N1ABZxUX9CQz1x5UplbRvminY7uHV7v05nS1rbS9MFAKjP7tG01mTiSsdNAw2aUHP9QEKD6ZjygWtrBG+jAhAOPtECi+hJxHTnnoGwY2CeZNy0vp8POQCA1TnXc90omWRM7790sKH7BND5GOsJoCuxJBsAAADCRM84ul7ZXY8dzupsLtB1m3obfrUc7aUYuB48MKOzuUBv25zRFm5BAIC2MZkL9OCBGUnSbTv6NdTTmGHk3Wz/6bxeOF3QzjUp7RlNhx0HwDz0jKPrnZoN9NKZgk7PBXrmRD7sOGiyiWyg03OBgrL08tli2HEAAPMcmSoqW3Rli67DU7TRjfDNYzlNZAM9eTTLqDCgzVCMo+sN9sTUl6q8FTYO0Cve6dZk4lrfn1BPwrSLpWYAoK1sHkpqsCemwXRMW5gIrSE2VD/brB9IyFjvHGgrVB7oeucmaisErkwyetenjk4XNX62qJ1rUhpj+bVlJWKm23b2hx0DALCAgXRc79/DRGjn5EplPf1qXr1J09516bqK6bdvyejNG1y9SQpxoN2EUnmY2UYze9LMcmZG9YDQJWIWyULc3fXwwTkdOFPQI+NzYccBAAAN9MyJvF44lde3j+V0dLpU1z7MTH2pmGL0igNtJ6zq44yk2yR9PaTjAx3BzJRJVU6u54baAwCAznCuoyBmimSnAYClhdIr7e45SbnFhtqY2d2S7pakDRs2tDAZED3v2tmvU7OBLupnkAkAAJ3ksnVpjfTElE7ENNLLzPJAp2nLS2zufo+7X+fu142MjIQdB2hrPYmYLh5KKhln+BkAAJ1m/UCSQhzoUG1ZjAMAAAAA0MkY1wqgI5Xd9ZWDczoxW9K1G3u1k2XMAKDrPXZ4Ti9PFHXZurSuWt8TdhwAXS6s2dSTZvaApKslfcHMbggjB4DONVMo68hUUcXAtf90Puw4AICQld314umCSmXXC5wXALSBsCZwK0q6PYxjA+gO/amYNg4mdGIm0K616bDjALjAnfeOh3bs+z6yNbRjIzwxM+1am9LLEwXt5rwAoA0wTB1AR4qZ6dbt/WHHAAC0kRsuzuiGizNhxwAASUzgBgAAAABAy1GMAwAAAADQYhTjAAAAAAC0GMU4AAAAAAAtRjEOAAAAAECLUYwDHerUXEn7TuSULZbDjgIAABrA3bX/dF4HJgphRwHQACxtBnSgYuB68KVZlcquY9Ml3baTJb4AAIi6F08X9PiRrCQpZtK24VTIiQCsBj3jiLxC4GFHaEtmYScAAABRVgxc7nzOApqFnnFE2qOvzOnAmYK2j6T0ti2ZsOO0jWTc9M4dfToxU9L2Ea6aAwDQCS5Zm1LMpHjMmt4r/tTxnJ5+Naex/oRu29GnGFf5gYajZxyRduhsUZI0fra1904VA1exzXvkRzMJXT7Wo94kb3MAADqBmWnX2nRLLrS/Mln5jHVipqRcqXWfeYKyK1divht0B3rGEWlXXpTWi6cL2rW2db2/E9lA9780I3fp1h19GuvjbQQAADrL3rG0vv1qThsHksq06MJ+MXB9fv+0pnJlXbepV3tG0y05LhAWqghE2uVjPbp8rGfV+3llsqjJXKDdo2ml4ksPw3p1pnS+V/zVmRLFOAAA6BjurhdPF+SS3r9noKXD06fzgaZylV7xw1NFinF0PKqIkByfLqo3GdNQTzzsKF1vIhvo4fFZuUszhbJu3Lz0vefbRpI6MlVU4NIO7scGAAAd5OWzxfMztktqaUE80hvXzjUpnZ4LtHesswvxQuA6MVPSur640gluKexWFOMh2Hcip28eyylm0h27ByjIQxYzySS5pGU6xSVJPYkYS4UBAICONP+zUCLW2knbzGzZTpFO8aUDMzo1F2ikN647dg+EHQchqekyjJl9Xy3bUJuZQmX4TdmlueJrE1SUyq79p/M6NVsKK1pXGuqJa89oWiO9MV3e4VdhAQAAlrJ1OKWbt2b0ts29KgZl7TuRU1Bu70lr29Gp2ZL2n86rtMhrd64eOPc3ulOtPeP/UtJnatiGGly1vnKPc18qpg0DyfPbv3Ekq/1nCoqZ9P5LB9WfYshKK0xkAz17Mi9JeurVvN7aJVdkAQAAFrJlOKUDEwV942hluLqZ6bJ1dFjUaqZQ1v0vzajs0qm5YMHe/pu29umlMwVtH0kusAd0iyWLcTN7r6Q7JG0ys1+d961BSXTf1qknEdNbLn7jm7JYvXLmElcgWygeqwxVL7uUbPFwLACLu/Pe8VCOe99HtoZy3G779wJob/M/E7FK6sqU3XXuk/xiPeMX9Sd0UT93DHe75X4Djkp6QtIHJH1j3vZpST/TrFDd6rpNvRpMxzXSG+c+8hYaTMf1rp39msqXtXWYq5MAAACbh5J6x/Y+BWXXlmEmrF2JwXRct2zt05lsoN2jvHZY3JLFuLt/W9K3zeyP3L3YokxdqycROz+EHa012pfQaF/YKQAAANrHpkE6Kep18VBSFw/x+mFptY6N2GZm/1HS5ZLOV4vuvqPeA5vZJyVdJ+lJd/94vftBa5XKrieOZFUIXNdv6lUv45YAAADQxQ5PFvX86by2Dae0cw094ahdrZXU/5L0G6rcJ36rpN+XdG+9BzWzayT1u/vNklJmdn29+0JrHTpb1EtnCnplsqjnT+XDjgMAAACE6rEjWR2fLumxw3PM+4QVqbUY73X3ByWZu4+7+7+V9L5VHPdGSfdXv35A0ltXsS+00EhvXPGYZCatzTDpBAAAALrb2kxlrqfK52QmA0btaq2m8mYWk/Simf0jSUck9a/iuMOSDlS/npS0d/43zexuSXdL0oYNG1ZxGDTaSG9cH9gzqJK7BtNMMgcAAIDudtOWjCZzgQaZgBkrVGvP+MclZST9Y0nXSvqIpB9dxXEnVVkeTdW/z87/prvf4+7Xuft1IyMjqzgMmiGTilGIAwAAAJLiMdOaTEIJesWxQksW42b2B9Uv3+buM+5+2N3/vrt/r7t/fRXHfVTSbdWvb5e0mn0BAAAAABApy/WMX2tmGyX9mJmNmNma+X/qPai7PykpZ2YPSwrc/bF69wUAAAAAQNQsd8/4b0p6UNIOSd+QNH/shVe314XlzAAAAAAA3WrJYtzdf1XSr5rZb7j7T7YoU8eYygd6ZHxOibjp5q0Z9SRYkxsAAABolhOzJf3t4TkNpuO6aUuG2c3R1mqqDinE63PgTEFnsoFOzJT0ymRxVftyZ81CAAAAdB93r/mz8POn8prKlXV4sqiTs6UmJwNWp+6uWjO7r5FBOtHGgaQSMVM6YRrrq39N7udO5vXHT0/qSwdmVKYoBwAAQJeYyAb6s31T+uyz05rKB8s+/+LBpGImDaRjGull9R+0t/orROmjDUvRocb6E/revYMyaVVDZA5MFOQuHZ0uKVt09aUYbgMAAIDOd3iqqHzJJbmOTpU0uG7pAnv7SEoXDyYVj0kx4zMz2ltNPeNm1mdmsXmPY6qsFY5lJGK26ntV9oymlU6Yto0klUnSqAAAAKA7bBlKaiAd01BPXBcPJWv6mWTcKMQRCbX2jD+oynrgM9XHGUl/I+ltzQiF19u5JqWda1JhxwAAAABaaqgnrg9cOhh2DKApar1nvMfdzxXiqn6daU6k1gvK3X0fdq5U1qk5JrgAAAAA6hWUXSdnSyoGja8tur1e6VS19ozPmtk17v6kJJnZtZKyzYvVGkHZ9cWXZ3VytqRrN/Zqz2g67EgtlyuV9X+en1au5No7ltabNvSGHQkAAACInK8emtPhyaJGeuN67yX9sgYNlX9lsqivjs+qPx3Tu3f2K81yyR2j1mL845I+Y2ZHJZmk9ZLualqqFpktlnViptIjfHCiUFMxfnCioGyprN1r0x2xbmG26MqVKlfaJrLLz1AJAAAA4I3OfZaezAUquxRvUKkwfragsktTubLOZANtGGhsMR6UXS+eLigZN26NbbFli3Ezi0u6WdKlkvZUNz/v7qtbOLsNDKRi2jaS1KszJe1Zt3whfny6qEcOzUmSCoHr6vXR70Ue6Y3r6g09Oj0b6Kr1PWHHAQAAACLpLRf36vlTeW0dTjW00+6StWmdmgs0kI5p3SqWS17M86fy+uaxnCQpFTdtrnGiPKzesv+b7h6Y2Q+4+yclfacFmVrGzPT2LX01P3/+rIydNEPjFWMU4QAAAMBqbBxIauNA4wvZi/oT+uBlzZvE7vU1TtMOgwXUemnlETP7dUmfljR7buO5e8i7xVh/Qu/Y3qdssawdDOEAAAAAEHF7RlNKxU3JuGnTIL3irVRrMf6m6t+fmLfNJb2zoWkigF9QAAAAAJ3CzOhoDElNxbi739rsIAAAAAAAdIuapuIzs4vM7LfN7HPVx5eb2Y83NxoAAAAAAJ2p1nnxf1fSFyRtrD5+QdI/aUIeAAAAAAA6Xq3F+Ki7/4mksiS5e0kSi1IDAAAAAFCHWovxWTNbq8qkbTKzGyVNNi0VAAAAAAAdrNbZ1P+ppL+UtMPMHpG0TtKHm5ZqlQqBKxVnkTwAAAAA7a1UdpmkOIt8d51ai/F9kj4raU7StKQ/V+W+8bbz6CtzOnCmoO0jKb1tS+b89q8dmtP42YKuXN+jK8Z6QkwIAAAAANKRqaIeHp9VOh7T39nVr0yq1oHLkKS5YlkPvjSjfOB6x7Y+jfbVWt62h1r/t39f0qWSflHSr0naLekPmhVqNQ6dLUqSxs8Wzm8rBq6XJwoqu7T/dGGxHwUAAACAljkyVVRQrhSVJ+dKYceJnOMzJU3ly8qXXOOTxbDjrFitlw6ucPfL5z3+kpntq+eAZvZeSZ+UdMrdb6pnH0u58qK0Xjxd0K61ry1cn4ybdq5J6dBkUbvXsqA9AAAAgPBdsjatk7OBepOmjQPJsONEzob+hIZ74soHrq3D0Xv9ai3GnzSzG93965JkZjdIeqLOY35d0tWSHqzz55d0+ViPLl9gGPqNmzO6cfPq918IXKXAGUICAAAAYFVGeuN6356BsGO0xGyhrFTclGzg3F69yVikX79ai/FrJX3NzA5VH2+R9LyZPS3J3f2qWg/o7hOSZLb4f4KZ3S3pbknasGFDrbtuuul8oM+/OKNi2fX2LRltHaaXHQA6zZ33jocdoaW67d8rdee/GQDC9MKpvB4/klVvMqb3XtKv3iQdm1Ltxfh7mpriAu5+j6R7JGnv3r3eymMvZSIbqBBU4pyYKVGMAwAAAMAyXp2t3A+fLZY1lS9TjFfVVIy7+4ovIZvZekmfumDzcXf//pXuq11sGkxq20hSuaLr0nXpsOMAAAAAQNu7YqxH2aJrqCemdX3xsOO0jabN/e7uxyW9o1n7D0M8Znr7lr6wYwAAAABAZIz0xvXuXf1hx2g7LR8fYGbXmdkDkq4wswfMjEW/AQAAAABdpeWrorv7E5Jub/VxF/OtY1mdmC3p6vW9uqg/WovEAwAAAABe79RsSU8ey2ltJq5rNvQsOXl4mLrmzvlTcyU9dTynmXxwftt0PtAzJ/I6ORvo28ezIaYDAAAAADTC06/mdHK2pOdO5nUmGyz/Ays0mQv01PGcJla5764oxoOy64sHZvX0qzk9PD53fntvMqbBnspLMNZHrzgAAAAARN25Ec/9qZgG0o2fMO7LByu15RcPzKxqP11TgRaDss5kAw31vHb9IREzvfeSAWWL5ab8JwEAAAAAWuvysR5tGUoqnYgpGW/8EPWYnfvbdGKmpLliWVuGk4qtcDh81xTj7lLZ9Yb7BRIxoxAHAAAAgA7S38Qa79bt/ToyVVQ6YXrgwIzcpelCj668aGVzk0d2mPrhyaK+8OK09p3I1fT8ZDym0UxC7XnrPgAAAACg2abygR58aUZfOzSnoOx17aM/FdOe0bR6Eiav7qIQrHxfke0Z/+axrKbyZZ2aC7RrbVqpJYYfxGOmW7f36ch0UTtGUi1MCQAAAABoF8+dzOv4TEmStHkoqc1Dybr3tb4/qRsu7tVc0XXZuvSKfz6yxfhYf0JT+YLWZuJK1tC/P9af0BhLlwEAAABA1xrrS2j/mYJScdNIz+oHiu9au/Ii/JzIVqdv2dSry9al1ZeMte26cQAAAACA9rFtJKWxvoQScVtydHUrRLYYNzMNMvEaAAAAAGAFMqn2mDqtPVIAAAAAANBFKMYBAAAAAGixyA5TB4Buc+e942FHAAAAQIPQMw4AAAAAQItRjAMAAAAA0GIU4wAAAAAAtBjFOAAAAAAALUYxDgAAAABAi1GMAwAAAADQYhTjAAAAAAC0GMU4AAAAAAAtRjEOAAAAAECLtbwYN7O7zezr1T8/2OrjAwAAAAAQtjB6xv/G3W+UdLOkfxbC8QEAAAAACFXLi3F3P1j9slT98wbV3vMnzOyJiYmJlmUDAAAAAKAVwrxn/GOS/mKhb7j7Pe5+nbtfNzIysuAPFwPXwYmCZgrlZmYEAAAAAHSpbLGsgxMF5UqNrzsTDd9jlZmtl/SpCzYfd/fvN7MbJN0h6YP17v/h8Vkdmy6pN2n67ksHFY/ZKtICAAAAAPB6DxyY0VSurJHeuO7YPdDQfTetGHf345LeceF2M9sk6VckfcDdg3r3nyu5JKkQuMouxevdEQAAAAAAC8hX685I9Ywv4V9LukjS/zYzSXqvu2dXupO3bcnoxdMFbRxIKBmnVxwAAAAA0Fi3bOvT+ERB20dSDd93y4txd/+JRuxnuCeu6zf1NmJXAAAAAAC8wVhfQmN9zSmbzd2bsuNGGRkZ8Y0bN656Py5VhrPTiQ6gTR09elSNaO86Ubl6qmJ6EKAz0N4B6Cb79u1zd3/D5OlhDFNfkY0bN+rTn/70qvbh7vqr56Z1dLqoKy7q0U1b+xqUDgAa56677lp1e9eJXpks6uHxWSVipnfv6tdwz2uzhExkA5XdtTbT9qczAPPQ3gHoJldeeeWTC23vik8vhcD1jWNZ5Uuu2aJTjANAhJycLcm9sqTlmWxwvhg/PlPUFw/Myl26eWtGW4Ybfy8XAABAs0S2GJ/KB3rpTEEbB5K6qH/pf0Y8ZhrNJHQ2F2isj3nXAURLvlTWc6fyGkzHmzJ5SLu7dDStqXxZqbhpy1Dy/PaZfFnn7rSaKjR+hlMAAIBmimwx/sj4nM5kA71wqqAPXT645IzqiZjp/ZcO6PBkUXtG0y1MCQCr963jOe0/XZAkDaRjGu2yIdmZVEzv2P7GEU3bR1KazJdVLrv2rKVtBwAA0RLZT3SpavEdj9U2oc+24ZS2MYQRQAQlq41czF77GpVRT9duZFUNAABQcee946Ec976PbK3r5yJbjN+0NaNXJosa608ozodTAB3s6vU9Gu6NayAV01APt9oAAAB0gjdMrx4V+cA1XShrrsh9ggA6Wzxm2jGS0romrXHZbg6eLehbx7LKlWjfAQBA54psMf7I+Jz2ncjroZfnVAzae610AEBtzuYCPTI+p2dO5PWNo9mw4wAAADRNZIvxld4zvpiyO70vANAmEvZam56qo3HPlcoKylygBQAA7S+yYx5v2prR4amS1vXF675nPCi7vrB/RhPZQFdv6NEVYz0NTgkAWIn+dFzv3tWvyXxZW+ctY1aL/afzeuxIVn2pmN6zq1/pRGSvNwMAgC4Q2U8q6URMO9ekNJiubTKjoOyazAVyf63HZLZY1kQ2kCQdmSw2JScAYGXWZhLaMZJa8YXWI9MluVfWH5/MNXfEU9kr5xR64QEAQL0i2zO+Eu6u+1+a0em5QDvWpPTWzRlJ0mA6rt2jaZ2YKemKi+gVB4Aou3xdWrOFsoZ74hrta+6s8w8fnNPhqaI2DCT0zh39TT0WAADoTF1RjJfK0um5Sg/4iZnS6753/SbWqAWATrCuL6E7dg+05FivzlbOJSdmS8s8EwAAYGGRHaa+Esm46ZqNvRrNxHXNRopvAMDqXLepck65jnMKAACoU1f0jEvSZevSumxdOuwYAIAOsGMkpR0jqbBjAACACOuKnnEAAAAAANoJxTgAAAAAAC1GMQ4AAAAAQIuFUoyb2UYze9LMcmYWqfvWD54t6LmTedaWBYAOc3K2pO+cyGmu2Nw1ygEAAKTwJnA7I+k2SZ8N6fh1OT5T1CPjc5KkfFDW1euZRRcAOkEhcH3xwKxKZdfx6ZJu38na4QAAoLlC6Rl395y7Tyz2fTO728yeMLMnJiYWfVrLxWTnv7Z5XwMAos0kWbVZN5p3AADQAm05RNzd75F0jyTt3bu3bcaDj/Un9F3b+pQtlVnSBgA6SDJuun1Hn16dDbR9JBl2HAAA0AXashhvZxcP8SENADrRmkxCazKcFgEAQGswmzoAAAAAAC0W1mzqSTN7QNLVkr5gZjeEkQMAAAAAgDDUPB7PzHolbXH351d7UHcvSrp9tfsBAABA57nz3vFQjnvfR7aGclwA3ammnnEze7+kb0n6fPXxm8zsL5uYCwAAAACAjlVrz/i/lfQWSV+WJHf/lpltb1KmtpUvlfWll2eVLbpu3prRaB8T/QAAWidXKutLB2aVD1w3bc1olAnnAACIrFrvGS+6++QF29pmybFWOT5T0um5QHPFsg5MFMKOAwDoMsemSzqTDTRbKOvliWLYcQAAwCrUWow/Y2Y/KCluZpeY2a9J+loTc7Wlsb6EBtMxJeOmrcOsMw4AaK2L+hMaOHceYqlNAAAirdbxbT8t6eck5SX9saQvSPqFZoVqV73JmN5/6aDcXWYWdhwAQJfJJGP6AOchAAA6Qk3FuLvPqVKM/5yZxSX1uXuuqcnaGB+AAABh4jwEAED01Tqb+h+Z2aCZ9Ul6WtI+M/sXzY0GAAAAAEBnqvWe8cvdfUrSByV9TtJ2ST/crFAAAAAAAHSyWovxpJklVSnG/9Ldi+rC2dQBAAAAAGiEWovx35J0UFKfpK+Y2VZJU80K1UovnSnoa4fmNJkLwo4CAMCKnZgp6WuH5nRkiqXOAACIkpqKcXf/VXff5O53eMW4pFubnK3pZgtl/e3hOb08UdDjR7JhxwEAYMUeOVQ5jz08PquyM2gNAICoqHUCtyEz+69m9kT1z6+o0kseacm4KRWvzEjbn6p1kAAAAO1jIF05f/WlYooxyzoAAJFR6zrjvyPpO5L+bvXxD0v6X5I+1IxQq3FqtqSDZ4vaOpzUur6l/3mpuOmOSwZ0Nh9ofX+tLwUAoNvNFct69mRea3rj2j6SCjXLd23r04nZkkYz8VBzAACAlam1At3p7t877/G/M7NvNSHPqn1lfFbZouvg2YI+vHdo2ednUjFlWtwrPpUP9MSRrPpSMV23sVfxGD0ZABAlTx7Navxs5R7tNb1xDfWEVwgn46ZNg8nQjh+WF07lNT5Z1KWjaW0e6r5/PwAg+mqtQrNmdtO5B2b2dklteZN1Ol75J6UT7Vvg7juR17HpkvafLuj4TCnsOACAFUpXb3GKx6QEF1RbLii7njia1YmZkp5gzhcAQETV2jP+MUm/b2bnuponJP1ocyKtzjt39On4TKmth52v60vopTMFpeIWam8KAKA+12zs1br+hIbScfUx50jLxWOmNb1xnZ4LNNbPeRQAEE21VqxT7n61mQ1KkrtPmdn2JuaqW28yFvr9e8vZuSalsb64knFTT+K1D3FHpor628NzWtOb0M1bMy0dvu7uMib+AYCaxGOmbcPtda7p1HZ8MhfoKwdnFY+Z3rG9T5lk5bz5rp39mi6UNZjmYggAIJpqPYP9mVQpwt393Prif9qcSN1hIB1/XSEuVe5/yxZdR6aKmmjRuudB2fU3+2f0qacndWCiUNPPnJkr6QTD6wGgLWSLZf3Vc1P6zDNTOj7T3muNzxXKOjJVVFCufQm2lycKmsqXNZENXreWejxmGu6JM4M8ACCyluwZN7NLJe2VNGRm82dOH5TU08xg3WjrSErHZ0oa6Y1ruEXD1ydzgU7OVgrrlycK2rHMqIITsyU98NKM3KUbN2e0c0179QwBQLc5MVvSVL4sSTp0tqj1/e05mVkxcH3uxWnlSq5tI0m9fUttK6RePJTUi6cLisesrW9BAwBgpZY7q+2RdKekYUnvn7d9WtJHm5Spa+0YSWnbcLKlV/mHeuLaOJjQ6blAu9eml33+XKEsr3ZozBbKTU4HAFjO+v6E1mbiyhZ92QuqYSqWXfmgcgJZyfljNJPQh/cOSlJHDsMHJOnOe8fDjoAOdd9HtoYdAUtYshh397+Q9Bdm9lZ3f7RFmbpaq4fbxWOmW7f31/z8LcNJTeV7VAhcl65bvngHADRXOhHTey4ZCDvGsjLJmN66OaPjMyVdtsLzB0U4AKAT1Tybupk96+5nJcnMRiT9irv/WNOSoS3FzHTVeu5QAACs3PaRVNtPsgoAQKvUOoHbVecKcUly9wlJb25KIgAAAAAAOlytxXis2hsuSTKzNaq9Vx0AAAAAAMxTa0H9K5IeNbPPSDJJH5b0H1ZzYDP7pKTrJD3p7h9fzb4AAAAAAIiSmnrG3f33JX2vpFclHZf0IXf/g3oPambXSOp395slpczs+nr3BQAAAABA1NQ81NzdnzGzk6quL25mW9z9UJ3HvVHS/dWvH5D0VkmP17kvAAAAAAAipaaecTP7gJm9KOllSQ9JOijpc6s47rCkqerXk9XH8493t5k9YWZPTExMrOIw4XJ3HZwo6PBkMewoAADUZDof6IVTec2tYC1wAACwcrVO4PYLqvRmv+Du2yXdJunrqzjupKTB6teDks7O/6a73+Pu17n7dSMjIxf+bGS8cLqgRw7N6aGDszoyRUEOAGhv7q77X5rV40ey+vLB2bDjAADQ0WotxovuflqVWdVj7v4lVSZfq9ejqhT0knS7VlfYt62g7Oe/Ls37GgCAdnXu3BVw3gIAoKlqvWf8rJn1S/qKpD80sxOS6r5k7u5PmlnOzB6W9C13f6zefbWzPaNpmUmJmGnLUDLsOAAALMnMdOuOPh2ZKmrbcCrsOAAAdLRai/HvlpST9DOSfkjSkKRPrObA3bCcWTxmumxdz6r3UwxcR6aLWtsb10A63oBkAABIx2eKcpc2DLx2wXg0k9Bopub5XQEAQJ1qOtu6+/xe8N9rUhYs4tFX5vTKZFHphOm7Lx1UMm5hRwIARNzhyaIeqt4X/vYtGW0boSccAIBWWrIYN7NpSQvdNGaS3N0HF/geGixXqvwXFANX4K6kKMbDVAxcjx/Jquyu6zf1Kp2odeoFAGgfudJrs6VnS513f/jhyaKeP53X9uGUdqzhQgMAoP0sWYy7+0CrgmBxN27u1fOnClrfn1APhV/oDkwU9PJEQZI03BPXFRet/lYEAGi1HWtSypVcZZd2r+28YvWxI3PKFl0nZkraNpJUzLiQDQBoL9wUFgGD6biu39QbdgxUjfTGFbPKkJGRXu7hBxBNMbOOvpi4tjehw8Vitc2mEAcAtJ+6i3Ezu8/d72xkGCAKxvoSev+lg3J3JtQDgDZ109aMzuYCDfXQTgMA2tNqesY/2rAUQMT0p7hdAADaWTxmWsus8ACANlZTRWFmfWYWm/c4JmmyaakAAAAAAOhgtXbvPSgpM+9xRtIDjY8DAAAAAEDnq3X8Vo+7z5x74O4zZpZZ6gcAAACAKLnz3vGwIwAdgfdSbWrtGZ81s2vOPTCzayVlmxMJAAAAAIDOVmvP+MclfcbMjkoySesl3dW0VAAAAAAAdLBli3Ezi0u6WdKlkvZUNz/v7sVmBgNqcWaupINni9o6nFzVrLnfeTWniWygN23oYbkyAGgzz53M6+RcSVeM9Wikd3Vt9KGzBZ3JBtozmlZvkpUxAADhWbZ6cffAzH7A3T8p6TstyATU7MsH55QtlvXyREHfu3eorn0cmy7qz/ZNKldync4G+uBlgw1OCQCo11Q+0DeOVu6MKwSu23b0v+E5p+dK+tLLs0rGTLft7F90+cmpfKCvHpqTuzSVL+uWbX1NzQ4AwFJqvST8iJn9upndbGbXnPvT1GRADZLxc39b3fsolFz5kstdmimUG5QMANAI6bipJ1Fp44d7Fu4Vf2WyqHzJNVMo6/j04gP3EmaKVU8XqVWcNwAAaIRax/W+qfr3J+Ztc0nvbGgaYIVu296vo9NFbRxI1r2PTUNJvX1LRqfmAt26nV4SAGgn6URMd+we0HS+rHV9CxfjW4dTOni2qGTMljwfZFIxvXtnv87mytoyXP95AwCARqipGHf3W5sdBKhHJhXTrrXpVe0jETO9bw9D0wGgXfUmY0ve3z3SG6/5FqM1mYTWsDgrAKAN1DRM3cwuMrPfNrPPVR9fbmY/3txoQOs8dTynh8dnNZ0Pwo4CAEDDnJot6aGDs9p/Oh92FADABWq9Z/x3JX1B0sbq4xck/ZMm5AFa7uRsSU+/mtOhs0V963gu7DgAADTM40eyOjxZ1GNHssqVmBcFANpJrcX4qLv/iaSyJLl7SRJdiOgIfcnY+Yl8FpscCACAKBqqntf6kjElY0xaBwDtpNYJ3GbNbK0qk7bJzG6UNNm0VEALZVIxvW/3gOaKZY321b9WOQAA7ebGzb3atTaloXRMcYpxAGgrtVYe/1TSX0raYWaPSFon6cNNSwW0WCYVU2aRdWmjaiof6NRcoM2DyVUt/QYA3WIiG+hsLtCWoWTHFK4xM41xoRkA2lKtrfM+SZ+VNCdpWtKfq3LfOIA2VAxcf7N/RvmS69BgUu9gyTYAWNJcsay/2T+jUtl1Yk1KN2xmynUAQHPVWoz/vqQpSb9YffyDkv5A0vc1IxSA2j1+eE4HJoq6bF1aV63vkSSV3VUMXJKUZ8IeAFhWUHYFXmk3c9X2s525u756aE5Hp0p684Ye7R5d3TKfAIDWq7UYv8LdL5/3+Etmtq8ZgQDUruyuF88U5C69cDp/vhhPJ2K6ZVufjs+UtHttKuSUAND+BtJxvX1LRqfnAl26rv0L22zRdehsUZK0/0yBYhwAIqjWm2SfrE7aJkkysxskPdGcSABqFTPTrjUpxWPSJRcU3ZsGk7p2Y68G0swQDwC12Dqc0jUbe5VJtv8cIr1J0+ahpOIxaecaLroCQBTV2jN+raSvmdmh6uMtkp43s6clubtfVesBzey9kj4p6ZS737SitADe4C0XZ/SWi7m3EQC6iZnplm3MBwIAUVZrMf6eBh7z65KulvRgA/cJAAAAAEBk1FSMu/t4ow7o7hNS5YruYszsbkl3S9KGDRsadWgADTSRDWQmDfcwDB4AutGZuZLiMdMQ5wEAqEtb3hTl7ve4+3Xuft3IyEjYcQBc4MhUUZ97cVp//cK0jk0Xw44DAGix8bMFfe7FGf31C9M6MVsKOw4ARFKtw9RXzMzWS/rUBZuPu/v3N+uYQKONny0oW3RdsjaleGzx0RzdZjIXqLoCkKbyZW0YCDcPAKDxZgplHTxb0Mb+hNZkXv+RcTJXWTaz7NJ0vqwxbl8H2tKd9zZsgDOaoGnFuLsfl/SOZu0faLbjM0V9dXxOklQI/PyyYZAuWZvWTKEsE7P4AkCn+ur4rE7PBXo2bvrQ5YOvuyh96bq0ssWyEnHTtuFkiCkBILqaVowvxsyuk/RLkq4wswck3enuuVbnAJZjoid8Mcm4MYM7AHSJhab5ScVNN2zmPAAAq9HyYtzdn5B0e6uPC6zURf0J3bKtT9limd5fAEDXuWVrn8YnC1rfn+RWLQBogpYX40CUbB5i6B0AoDtlUjFdto5btACgWdpyNnUAAAAAADoZxTgAtECp7Np/Oq9TcywBBKCzubvGzxZ0ZIqlLwFgKRTjACIjKLsmsoGCsocdZcW+cSSrvz2c1f37ZzRTKIcdBwBW5GwuUDGore3df6agr47P6csvz1KQA8ASuGccQGR85eCsjk6XtH4godt29C/7/OdP5XV8pqQrx9JvWCO31YrVCwguRfJiAoDGyhbLevJYVj2JmN68oUexhaYsbxPfPJbVvhN59adjuuOSASXjS2ctzWvjai3gAaAbUYwDiIyTc4Ek6dRssOxzZwplPXEkK0nKl1zv3rV88d5M123q1UA6pjW9CQ31xEPNAiB8+07mdXCi0ms8molr63D7rtpxstrmzuTLypXKSsaXbsN2r03LXYrHTFtZgxwAFkUxDiAy3rKpVy+eKdS01Fw6bupNxpQtljXSE/4dOT2JmK5e3xt2DABtYrh6US5m0mC6vS/QvWlDj546ntNF/QkN1JA1HjNdPsYs7ACwHIpxAJGxbSSlbSO19R4l46Y7dvdrKl/Wukx7f9AF0H12rklppCemVNzU3+bF+FhfQrfvDHd0EQB0IopxAB2rJxFTTyL8XnEAWEjYc1kAAMLFp1QAAAAAAFqMYhwAAAAAgBajGAcAAAAAoMUoxgF0nedO5vW3r8xptlAOOwoANN0zJ3J67PCcciXaPABoJ8wcAqCrnJor6RtHK+uPF8uum7b2hZwIAJrn+HRR3zqWO//4LRdnQkwDAJiPnnEAXaUnEVMiZpKk/hRNIIDO1puMqdrkqY82DwDaCj3jALpKfyqm9+7u10yhrA39NIEAOttQT1x37B5QtljW+oFk2HEAAPOYu4edYUlmdlLSeAN3OSrpVAP310pRzi6RP0xRzi51T/5rJD3ZguOEjZyNFYWcUcgokbORlsu42vau1uO0M7KHI8rZpWjn7+bsW9193YUb274YbzQze8Ldrws7Rz2inF0if5iinF0if7sdZ7XI2VhRyBmFjBI5G4l2b3lkD0eUs0vRzk/2N+LmIQAAAAAAWoxiHAAAAACAFuvGYvyesAOsQpSzS+QPU5SzS+Rvt+OsFjkbKwo5o5BRImcj0e4tj+zhiHJ2Kdr5yX6BrrtnHAAAAACAsHVjzzgAAAAAAKGiGAcAAAAAoMUoxgEAAAAAaDGKcQAAAAAAWoxiHACawMz6zexiM+sPOwsAAADaT0fPpl79EPwxSW+VNCTprKSvS/otd58OMVpNzOxSd3/OzFKS7pZ0haSXJP13d58NN93SzOwKSf9eldfdJLmkSUn/2t2fCjNbLczs+939U2a2RdKvSFovaULSz7r7vnDTLS/Kr38HvPbvlPTzkqaqfwYlDUj6RXd/oMHH2ijpX0naq8rF1UDSPkm/5O6HG3ms1YhCWxaV80VEXstItD9RaWt4PV93jLb//V9MVNqYhUT8dY/E+2cxUWmnFhLl176lr7u7d+wfSX8p6fskrZEUlzRSffxXYWerMf8Xq3//hqSflXSppB+X9Nmws9WQ/WFJGy7YtlHSw2FnW+Fr/xeS3l79eo+kh8LO1umvfwe89l+VlLlgW5+kR5pwrAclXX/BtrdIejDs12GR/9O2bcuicr6IyGsZifYnKm0Nr+eCx2jb3/8lskeijenA1z0S758aXvu2bqc67bVv5eve6cPU10r6M3c/4+6Bu09I+jNVGsIouczdf8ndn3P331alAY8CW+DxhdvaVa+Z7ZA06u6PSJK7P69o3doR1dc/6q99XtJVF2y7UlKuCcfqlfTMBdueqW5vR+3clkXtfNHOr6UUjfYnSm0Nr+frtfvv/0Ki1sYsJIqvuxSN989iotROLSSqr33LXvdEo3fYZv4/SV82s6dUGS46pMpwzt8INVXtNprZVyStNbNhdz9bHSI0EHawGnxM0q+b2bBe+8U9LeknQ0u0Ms+pMtT4+Xmv/YAqQ1SiIMqvf9Rf+49I+lkz+0VVXvuypKck/UgTjvVzku4zszm91sb1qPL6tZMotGVROV9E4bWMSvsTlbaG1/M1Ufj9X0xU2piFRPl1j8r7ZzFRaacWEuXXvmWve0ffMy5JZpaQdImkYVXuU3jB3UuhhloFM0tKGnH3E2FnAdAezKxX1TbO3edCjlOTdmzLonq+aMfXEmiVKP3+R7WNWUiUXnegnUVliEPd3L3k7s+6+6Puvs/dS2b23rBz1cvdi5KuDTtHvczsX4adYTXIH54oZ5ckM/tvzdq3u2fd/di5QtzM/n6zjtUo7diWRfV80Y6v5UKi8h4mZ2M1O2dUfv+l6LYxC4nS676QqLx/FhPl/GR/vU4fpr6YctgBVikS+c3sWlVmDR3Wa7OG/naIkVYk6vkX8dWwA6xCZLKb2V5Jgbs/N2/zH7UwwpMtPNZqRKEti0JGqc1yRqX9jErORUSlTWxFzrb6/V8hsjdZxN/nkc+/gKi0XQtpePaOH6a+EDNLuXsh7By1qA5pulSvvQGfi8KQJjP7pKS0pAdUGYo1KOl2SSV3/3iY2WrRAfkXGvVikj7v7u9qdZ6ViHJ2STKzX5F0kaSipFFJP+buJ83si+7+zhZlSLt7vhXHWo0otMXtmLHdzwtRaT8jlDMSbWKYOdvxfVqrqGRv93ZnMVF5ny8myvmj0nYtpJXZu7Vn/D5J7w47xHLM7Icl/QNJ39Jr6xVfbWa/7e5/EGa2Glzr7rdcsO2zZvZQKGlWLur5Z1S5cnpuXUdVv75wlu92FOXsUmWpsVskycyukvQZM/vnzTiQmf2ApH+mSuH/F5L+k1eusH5OUksK/1WKQlvcVhkjcl6ISvsZlZxRaRPDzNlW79MVavvsEWl3FhOV9/liopw/Km3XQlqWvaOL8erMj2/YrMrslVFwt6RbfN7wBTOLS3pIUrs3fk+Y2W9Jul+vNdy3SfpmqKlqF/X8z0r6HnefnL/RzO4PKc9KRDm7JMXP9XS4+1Nm9j2S7lVz2p2flnRj9b7Dj0n6czP7UbXZsiFRaIujkLEqCueFqLSfUckZlTax6Tkj9D59gyhnVzTancVE5X2+mCjnj0rbtZCWZe/oYepm9qykq6qTTMzffn+7D4+QJDP7S0l/rNe/AW+X9EPu/v4ws9XCzN4s6Ua9Nmvoo+4ehcZDUrTzm9kGSacvHPpmZol2H1YW5eySZGZvkXRw/gyz1Q8t3+fun2rwsR5197fOe3yDpP8iaczd9zTyWKsRhbY4Chml6JwXotJ+RiFnVNrEVuSMyvt0IRHPHol2ZzFReJ8vJar5o9J2LaSV2Tu9GH+PKr+wF17VuNbdvxFSrJqZWb+kj+q1N+BZSY9K+m13nw4vGYB2YGYflfQFdz80b9smST/v7h8LL9nrRaEtjkJGifMCultU3qcLiXh22h2gSTq6GL+Qmf2Ru/9g2DnqZWZ/7O4/EHYOAO0pKm1cFHJGIaPEeQHdLSrv04VEPDvtDtAgHb/O+AU2hB1glS4KOwCAthaVNi4KOaOQUeK8gO4WlffpQqKcnXYHaJBuK8a7ZxgAgG4UlTYuCjmjkBHodlF+n0Y5O4AG6bZiHAAAAACA0HVbMd5Wy/3UIer5ATRXVNqIKOSMQkYpOjmBZojy7z/ZAXTdBG4XufurYeeoV9TzA2iuqLQRUcgZhYxSdHICzRDl33+yA5C6rBgHAAAAAKAddNswdQAAAAAAQkcxDgAAAABAi1GMI7LMbJuZfWeV+/hdM/twozIBQCcxs39sZs+a2R8u8Zw3mdkdrcwFALUws5k6f+6DZnZ5o/MAF6IYBxrMzBJhZwCApaygnfqHkt7l7j+0xHPeJIliHEDLtOCz1gclUYyj6SjG0RHMbIeZfdPMbjCz/2Jm3zGzp8zsp6vf/9dm9nh1+z1mtuSyHNUe8980syfM7AUzu7O6PW5mv1zd11Nm9hPV7e8ws4fN7C8l7btgX9dXn/ut6s+uqjcfAKTzo4OeM7M/rPZe/6mZZczsWjN7yMy+YWZfMLMN1ed/2cz+XzN7QtLHq23T18zs22b2mJkNXLD/35S0Q9LnzOxnzOwtZvZota39mpntMbOUpE9Iuqvaxt3V8hcCQCQ1uw274Fj9ZvagmT1pZk+b2XfP+96PVD+nfdvM/sDM3ibpA5J+udqu7ayOAPp69XmfNbOR6s/+YzPbV93+qeq2PjP7nWqmb84/FnAhevAQeWa2R9KnJP09SW+TtE3Sm9y9ZGZrqk/7dXf/RPX5fyDpTkl/tcyut0l6i6Sdkr5kZrsk/YikSXe/3szSkh4xs7+pPv8aSVe4+8sX7Od/Sfqouz9qZr9U/78UAN5gj6Qfd/dHzOx3JP2UpO+R9N3ufrJaHP8HST9WfX7K3a+rFtHPSbrL3R83s0FJ2fk7dvePmdl7JN3q7qeqz7m52rbeLukX3f17zexfS7rO3f9Ra/7JADpI09qwC+QkfY+7T5nZqKSvVztQLpf0/0h6W7WdW+PuZ6rfu8/d/1SSzOwpST/t7g+Z2Sck/RtJ/0TSz0ra7u55MxuuHuvnJH3R3X+suu0xM3vA3Wcb8YKhs1CMI+rWSfoLSR9y933VD4W/6e4lSXL3M9Xn3Wpm/5ekjKQ1kp7R8sX4n7h7WdKLZnZA0qWS3i3pKnvtPvMhSZdIKkh67MJCvNoID7j7o9VNf6TKhQAAaIRX3P2R6tf3SvpXkq6QdL9VBgDFJR2b9/xPV//eI+mYuz8uSe4+VcOxhiT9npldIsklJVcfH0CXa1UbZpJ+0cxukVSWtEnSRZLeKekz7n6qup8zb/hBsyFJw+7+UHXT70n6TPXrpyT9oZn9uaQ/r257t6QPmNk/rz7ukbRF0rPLZEQXohhH1E1KOiTpJl0wPPwcM+uR9N9V6bl5xcz+rSoN43J8gcemypXRL1xwjHdI4oongFa7sJ2alvSMu791keevpp36BUlfcvfvMbNtkr68in0BgNS6NuyHVOnAudbdi2Z2ULV9FlzO+yTdIun9kn7OzK5U5bPi97r78w3YPzoc94wj6gqqDGf6ETP7QUn3S/oJq07sUR2mfq6xPWVm/ZJqnT39+8wsZmY7Vblv8nlJX5D0k2aWrO5/t5n1LbYDdz8radrMbqhu+v4V/esAYGlbzOzch9YflPR1SevObTOzpJntXeDnnpe0wcyurz5vwJafEGlI0pHq139v3vZpSYveqwkAS2hVGzYk6US1EL9V0tbq9i+q8nlvbXU/525vPN+uufukpAkzu7n6vR+W9JCZxSRtdvcvSfq/q8foV+Wz4k9btWvfzN68gtcDXYZiHJFXvQfnTkk/I+moKj3lT5nZtyX9YLUg/h+SvqNKA/n4Qvsxs0+Y2QfmbTok6TFJn5P0MXfPSfqfqvTAP2mVidh+SwuMMDGz/2lm11Uf/rik/2Fm35LUp0pvPgA0wvOSfsrMnpU0IunXVLng+J+qbeC3VJlL43XcvSDpLkm/Vn3e/ZJ6zGyjmf31Isf6z5L+o5l9U69v974k6XJjAjcAK9eqNuwPJV1nZk+rMv/Pc9X9PKPKPekPVffzX6vP/5Skf1GdgG2npB9VZUK3p1RZQeITqgyhv7e6z29K+tXqZ85fUOU2nqfM7JnqY2BB5n7h6BAAZva7mjdxxyr31e/uM9Wvf1bSBnf/+Gr3C6C7VYeK3+fuV4SdBQBWijYM4J5xoBXeZ2b/UpX327heP7wTAAAAQBeiZxwAAAAAgBbjnnEAAAAAAFqMYhwAAAAAgBajGAcAAAAAoMUoxgEAAAAAaDGKcQAAAAAAWuz/Bxt7uuPBgbn0AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pd.plotting.scatter_matrix(df_std, diagonal='hist', grid=True, figsize=(17, 6))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "77836161", + "metadata": {}, + "source": [ + "### R Code 6.12 - Overthinking - Rever" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "1c05e493", + "metadata": {}, + "outputs": [], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] kcal_per_g;\n", + " vector[N] perc_fat;\n", + " vector[N] new_predictor_X;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real bF;\n", + " real bX;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " kcal_per_g ~ normal(alpha + bF * perc_fat + bX * new_predictor_X, sigma);\n", + " }\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "17f90206", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_predictor_x(r=0.9):\n", + " N = len(df['perc.fat'].values)\n", + " \n", + " mean = r * df['perc.fat'].values\n", + " sd = np.sqrt((1 - r**2) * np.var(df['perc.fat'].values))\n", + " \n", + " return np.random.normal(mean, sd, N) # New Predictor X" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8855ae68", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_data_dict(r=0.9):\n", + " data = {\n", + " 'N': len(df['kcal.per.g']),\n", + " 'kcal_per_g': df['kcal.per.g'].values,\n", + " 'perc_fat': df['perc.fat'].values,\n", + " 'new_predictor_X': generate_predictor_x(r=r),\n", + " }\n", + " return data" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "258dfb4d", + "metadata": {}, + "outputs": [], + "source": [ + "def adjust_model(r=0.9):\n", + " \n", + " parameter_mean_samples = []\n", + " \n", + " for _ in range(1): # In book running 100x\n", + " # Runnning the model\n", + " posteriori = stan.build(model, data=generate_data_dict(r=r))\n", + " samples = posteriori.sample(num_chains=4, num_samples=1000)\n", + " \n", + " # Get parameter slope mean\n", + " parameter_mean_samples.append(samples['bF'].flatten().mean())\n", + " \n", + " return parameter_mean_samples" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "51dd0f33", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.54 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 9e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.09 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n", + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning: The parameter sigma has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bX has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter bF has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n", + "Warning: The parameter alpha has no priors. This means either no prior is\n", + " provided, or the prior(s) depend on data variables. In the later case,\n", + " this may be a false positive.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 59% (4700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 84% (6700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_8d2sm6wp/model_72hqbwsd.stan', line 17, column 8 to column 81)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 7e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.07 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "stddev = []\n", + "r_sequence = np.arange(0, 0.99, 0.1) # In book using 0.01\n", + "\n", + "for r in r_sequence:\n", + " parameter = adjust_model(r=r)\n", + " stddev.append(np.mean(parameter))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "94bedff6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " count mean std min 25% 50% \\\n", + "h0 100.0 9.782726 2.138707 4.168524 8.279903 9.642072 \n", + "h1 100.0 14.209396 2.766929 6.881795 12.512818 14.190085 \n", + "treatment 100.0 0.500000 0.502519 0.000000 0.000000 0.500000 \n", + "fungus 100.0 0.270000 0.446196 0.000000 0.000000 0.000000 \n", + "\n", + " 75% max \n", + "h0 11.353860 14.316299 \n", + "h1 15.688766 20.786965 \n", + "treatment 1.000000 1.000000 \n", + "fungus 1.000000 1.000000 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(3)\n", + "\n", + "# Quantidade de plantas\n", + "N = 100\n", + "\n", + "# Simulação inicial das alturas\n", + "h0 = np.random.normal(10, 2, N)\n", + "\n", + "# Atribuindo tratamentos e simulando fungos e tratamentos\n", + "treatment = np.repeat([0,1], repeats=int(N/2))\n", + "fungus = np.random.binomial(n=1, p=(0.5 - treatment*0.4), size=N)\n", + "h1 = h0 + np.random.normal(5 - 3*fungus, 1, N)\n", + "\n", + "# Dataframe\n", + "d = pd.DataFrame.from_dict({'h0': h0, \n", + " 'h1': h1, \n", + " 'treatment': treatment, \n", + " 'fungus': fungus})\n", + "d.describe().T" + ] + }, + { + "cell_type": "markdown", + "id": "2b6fd9a7", + "metadata": {}, + "source": [ + "### R Code 6.14" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "e288a443", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " count mean std min 25% 50% 75% \\\n", + "sim_p 10000.0 1.02366 0.259148 0.391611 0.83898 0.993265 1.174575 \n", + "\n", + " max \n", + "sim_p 2.781105 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_p = np.random.lognormal(0, 0.25, int(1e4))\n", + "pd.DataFrame(sim_p, columns=['sim_p']).describe().T" + ] + }, + { + "cell_type": "markdown", + "id": "1069b797", + "metadata": {}, + "source": [ + "### R Code 6.15" + ] + }, + { + "cell_type": "markdown", + "id": "489bb597", + "metadata": {}, + "source": [ + "Modelo:\n", + "\n", + "$$ h_{1,i} \\sim Normal(\\mu_i, \\sigma) $$\n", + "\n", + "$$ \\mu_i = h_{0, i} \\times p $$\n", + "\n", + "Prioris: \n", + "\n", + "$$ p \\sim LogNormal(0, 0.25) $$\n", + "\n", + "$$ sigma \\sim Exponential(1) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "13a32efc", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_tmv3g7y8/model_jd4qfihi.stan', line 18, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N; \n", + " vector[N] h1;\n", + " vector[N] h0;\n", + " }\n", + " \n", + " parameters {\n", + " real p;\n", + " real sigma;\n", + " \n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " mu = h0 * p;\n", + " \n", + " h1 ~ normal(mu, sigma);\n", + " \n", + " // Prioris\n", + " p ~ lognormal(0, 0.25);\n", + " sigma ~ exponential(1); \n", + " }\n", + "\"\"\"\n", + "\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'h1': h1,\n", + " 'h0': h0,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "4204aa47", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
p1.430.021.391.46
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "p 1.43 0.02 1.39 1.46\n", + "sigma 1.98 0.14 1.73 2.23" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "markdown", + "id": "89468587", + "metadata": {}, + "source": [ + "### RCode 6.16" + ] + }, + { + "cell_type": "markdown", + "id": "59ea7655", + "metadata": {}, + "source": [ + "Modelo *post-treatment bias*:\n", + "\n", + "$$ h_{1, i} \\sim Normal(\\mu_i, \\sigma) $$\n", + "\n", + "$$ \\mu_i = h_{0, i} \\times p $$\n", + "\n", + "$$ p = \\alpha + \\beta_T T_i + \\beta_F F_i $$\n", + "\n", + "prioris:\n", + "\n", + "$$ \\alpha \\sim LogNormal(0, 0.25) $$\n", + "\n", + "$$ \\beta_T \\sim Normal(0, 0.5) $$\n", + "\n", + "$$ \\beta_F \\sim Normal(0, 0.5) $$\n", + "\n", + "$$ \\sigma \\sim Exponential(1) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "d1446add", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_3v2pqc1w/model_2uvo3jva.stan', line 28, column 8: Parameter\n", + " alpha is given a lognormal distribution, which has strictly positive\n", + " support, but alpha was not constrained to be strictly positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.777686, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.73154, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -0.884237, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Gradient evaluation took 4.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -440.313, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -440.044, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -109.303, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -26.7802, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -5.91942, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.729029, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -1.22763, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.22602, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.0862, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Gradient evaluation took 4.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -2620.37, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -75.8589, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.380928, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "\"\"\"\n", + "To mu definition below\n", + "----------------------\n", + "\n", + "vector[N] a;\n", + "vector[N] b;\n", + "vector[N] c; \n", + "\n", + "These operation:\n", + "c = a .* b;\n", + "\n", + "Is the same operation:\n", + "for (n in 1:N) {\n", + " c[n] = a[n] * b[n];\n", + "}\n", + "\n", + "Reference:\n", + "https://mc-stan.org/docs/reference-manual/arithmetic-expressions.html\n", + "\"\"\"\n", + "\n", + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] h0;\n", + " vector[N] h1;\n", + " vector[N] T; // Treatment\n", + " vector[N] F; // Fungus\n", + " }\n", + "\n", + " parameters {\n", + " real alpha;\n", + " real bT;\n", + " real bF;\n", + " real sigma;\n", + " }\n", + "\n", + " model {\n", + " vector[N] mu;\n", + " vector[N] p;\n", + " \n", + " p = alpha + bT * T + bF * F;\n", + " mu = h0 .* p; \n", + " \n", + " // likelihood\n", + " h1 ~ normal(mu, sigma);\n", + " \n", + " // prioris\n", + " alpha ~ lognormal(0, 0.25);\n", + " bT ~ normal(0, 0.5);\n", + " bF ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'h0': h0,\n", + " 'h1': h1,\n", + " 'T': treatment,\n", + " 'F': fungus,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "219ff496", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 1.53 0.03 1.48 1.59\n", + "bT -0.03 0.04 -0.09 0.03\n", + "bF -0.32 0.04 -0.39 -0.25\n", + "sigma 1.44 0.11 1.26 1.64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "82e65448", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples, title='Treatment and Fungus')" + ] + }, + { + "cell_type": "markdown", + "id": "dc4cabcc", + "metadata": {}, + "source": [ + "### R Code 6.17" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "9f0f2fc7", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] h0;\n", + " vector[N] h1;\n", + " vector[N] T; // Treatment\n", + " }\n", + "\n", + " parameters {\n", + " real alpha;\n", + " real bT;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " vector[N] p;\n", + "\n", + " p = alpha + bT * T;\n", + " mu = h0 .* p;\n", + "\n", + " h1 ~ normal(mu, sigma);\n", + "\n", + " alpha ~ lognormal(0, 0.2);\n", + " bT ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'h0': h0,\n", + " 'h1': h1,\n", + " 'T': treatment,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "8ba3cbb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 1.36 0.03 1.31 1.41\n", + "bT 0.13 0.04 0.06 0.20\n", + "sigma 1.89 0.14 1.65 2.14" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "2427af81", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples, title='Treatment without fungus')" + ] + }, + { + "cell_type": "markdown", + "id": "8f248c83", + "metadata": {}, + "source": [ + "### R Code 6.18" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "0a3add94", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "G = nx.DiGraph()\n", + "\n", + "nodes = {0: '$H_0$', \n", + " 1: '$H_1$', \n", + " 2: 'F', \n", + " 3: 'T'}\n", + "\n", + "for i in nodes:\n", + " G.add_node(nodes[i])\n", + "\n", + "edges = [(nodes[0], nodes[1]),\n", + " (nodes[2], nodes[1]),\n", + " (nodes[3], nodes[2])]\n", + "\n", + "G.add_edges_from(edges)\n", + "\n", + "# explicitly set positions\n", + "pos = {nodes[0]: (0, 0), \n", + " nodes[1]: (1, 0), \n", + " nodes[2]: (1.5, 0), \n", + " nodes[3]: (2, 0)}\n", + "\n", + "options = {\n", + " \"font_size\": 15,\n", + " \"node_size\": 400,\n", + " \"node_color\": \"white\",\n", + " \"edgecolors\": \"white\",\n", + " \"linewidths\": 1,\n", + " \"width\": 1,\n", + "}\n", + "\n", + "nx.draw(G, pos, with_labels=True, **options)\n", + "\n", + "# Set margins for the axes so that nodes aren't clipped\n", + "ax = plt.gca()\n", + "# ax.margins(0.01)\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7d3574ba", + "metadata": {}, + "source": [ + "### R Code 6.19" + ] + }, + { + "cell_type": "markdown", + "id": "15741a2d", + "metadata": {}, + "source": [ + "$$F \\_||\\_ H_0$$\n", + "\n", + "$$H_0 \\_||\\_ T$$\n", + "\n", + "$$ H_1 \\_||\\_ T | F $$\n" + ] + }, + { + "cell_type": "markdown", + "id": "493beb12", + "metadata": {}, + "source": [ + "### R Code 6.20" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "58dc30c7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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fungus100.00.4800000.5021170.0000000.0000000.0000001.0000001.000000
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" + ], + "text/plain": [ + " count mean std min 25% 50% \\\n", + "h0 100.0 10.091610 1.976358 6.313914 8.850678 10.169278 \n", + "h1 100.0 16.510702 2.715874 10.105379 14.711143 15.899131 \n", + "treatment 100.0 0.500000 0.502519 0.000000 0.000000 0.500000 \n", + "fungus 100.0 0.480000 0.502117 0.000000 0.000000 0.000000 \n", + "\n", + " 75% max \n", + "h0 11.369749 15.273222 \n", + "h1 18.671828 22.662508 \n", + "treatment 1.000000 1.000000 \n", + "fungus 1.000000 1.000000 " + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# np.random.seed(3)\n", + "\n", + "# Quantidade de plantas\n", + "N = 100\n", + "\n", + "# Simulação inicial das alturas\n", + "h0 = np.random.normal(10, 2, N)\n", + "\n", + "# Atribuindo tratamentos e simulando fungos e tratamentos\n", + "treatment = np.repeat([0, 1], repeats=int(N/2))\n", + "\n", + "M = np.random.binomial(n=1, p=0.5, size=N) # Moisture -> Bernoulli(p=0.5)\n", + "\n", + "fungus = np.random.binomial(n=1, p=(0.5 - treatment * 0.4 + 0.4 * M), size=N)\n", + "h1 = h0 + np.random.normal((5 + 3 * M), 1, N)\n", + "\n", + "# Dataframe\n", + "d2 = pd.DataFrame.from_dict({'h0': h0, \n", + " 'h1': h1, \n", + " 'treatment': treatment, \n", + " 'fungus': fungus})\n", + "d2.describe().T " + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "50038aa0", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Location parameter[1] is inf, but must be finite! (in '/tmp/httpstan_zszojnzt/model_iiartt5i.stan', line 22, column 8 to column 31)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "# RCode 6.17 with new database\n", + "\n", + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] h0;\n", + " vector[N] h1;\n", + " vector[N] T; // Treatment\n", + " }\n", + "\n", + " parameters {\n", + " real alpha;\n", + " real bT;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " vector[N] p;\n", + "\n", + " p = alpha + bT * T;\n", + " mu = h0 .* p;\n", + "\n", + " h1 ~ normal(mu, sigma);\n", + "\n", + " alpha ~ lognormal(0, 0.2);\n", + " bT ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'h0': d2.h0.values,\n", + " 'h1': d2.h1.values,\n", + " 'T': d2.treatment.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "da26d068", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sigma2.160.151.872.43
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 1.60 0.03 1.55 1.65\n", + "bT 0.02 0.04 -0.05 0.09\n", + "sigma 2.16 0.15 1.87 2.43" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "332e7134", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples, title=\"Only Treatment using d2\")" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "5df00a61", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_3v2pqc1w/model_2uvo3jva.stan', line 28, column 8: Parameter\n", + " alpha is given a lognormal distribution, which has strictly positive\n", + " support, but alpha was not constrained to be strictly positive.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.3 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -2.00689, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.429399, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.582579, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -2.80035, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -1.22325, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.73154, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -0.884237, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Gradient evaluation took 5.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -314.269, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -314, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -77.7921, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -18.9024, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -3.94998, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.236668, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.22602, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Rejecting initial value:\n", + " Error evaluating the log probability at the initial value.\n", + " Exception: lognormal_lpdf: Random variable is -1.0862, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " Gradient evaluation took 7.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -2854.35, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -83.0723, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.401537, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.176896, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: lognormal_lpdf: Random variable is -0.310218, but must be nonnegative! (in '/tmp/httpstan__bvsoudy/model_2uvo3jva.stan', line 28, column 8 to column 35)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "# RCode 6.16 with new database\n", + "\n", + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] h0;\n", + " vector[N] h1;\n", + " vector[N] T; // Treatment\n", + " vector[N] F; // Fungus\n", + " }\n", + "\n", + " parameters {\n", + " real alpha;\n", + " real bT;\n", + " real bF;\n", + " real sigma;\n", + " }\n", + "\n", + " model {\n", + " vector[N] mu;\n", + " vector[N] p;\n", + " \n", + " p = alpha + bT * T + bF * F;\n", + " mu = h0 .* p; \n", + " \n", + " // likelihood\n", + " h1 ~ normal(mu, sigma);\n", + " \n", + " // prioris\n", + " alpha ~ lognormal(0, 0.25);\n", + " bT ~ normal(0, 0.5);\n", + " bF ~ normal(0, 0.5);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': N,\n", + " 'h0': d2.h0.values,\n", + " 'h1': d2.h1.values,\n", + " 'T': d2.treatment.values,\n", + " 'F': d2.fungus.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "6f42a787", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 1.53 0.04 1.46 1.60\n", + "bT 0.06 0.04 -0.02 0.14\n", + "bF 0.11 0.04 0.03 0.19\n", + "sigma 2.10 0.15 1.83 2.36" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "1d7c4a70", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7uzvAhJhpPE8gCl3AqsszU88//3zN++bNm6d5khrS6cjjCxYs0IIFCzQyMhL5G2F7e7vmz5+varWq7du31xzv6OhQW1ubKpWKXnrppZrjl112mebOnatyuaxdu3bVHF+yZImKxaJKpZL27NlTc3zZsmUqFAo6duyY9u3bV3P8iiuuUD6f15EjR7R///6a4ytXrlQul9OhQ4fU29tbc7yzs1OZTEZ9fX3q6+urOX7VVVcpnU7rwIEDOnz4cM3xtWvXSpJ6enp09OjRacdSqZRWr14tSdq7d6+OHz8+7XhDQ4OuvPJKSdLu3bvV398/7Xg2m9WqVaskSTt37qz54c7GxkatWLFCkrRjxw4NDQ1NO97c3Kzly5dLkl588cWam5C0tbWpo6NDkrRt2zaNjo5OOz5nzhwtXrxYkrRly5aaF+NrbW3VokWLJJ28vYULF2psbExbt26tOU578WuvoaFBo6OjF729lpYWLV26VBLthWjv+ecLSqfT6u/vV39/7R+A2tsXKpVK6fjx46pUKhofn36Xrhdf/L4qFaeDBysaGZn4/Gp1UHff3aXrrnunFi5cKEk6evSIKpXKtM9NpdJqb2+XJB05crimnXS6QR/72MTrP9JePNtra2tTT09PYp73TuB57/zaO/G8FNfnvaS0V08SdWZKklLpdOgREDNpmoCRSiXuqQ/nKernII4f71NjY9O092WzeZXLtX8AQfJkMpnQIyCGGhrq8jwELiLnT/G6TGvWrPGbNm2awXHOz7yuLjXmcurZsCH0KIiRE39DBJxAE7PDgw/uPeOPzecbValM/xv4xx67V5VKWfl84dX3nXj75ps/cN7z3X774vP+Grh4eJ5AFLqYndatW/eM9/66qGOJW695nSlYvCYELJqYHc5mWUmn0zUvxnn11e9WV1eXikWnQqGgcrmsUslr48Z3q7OTRSjpeJ5AFLqAlahrXcpveIMqv/EbocdAzHCZHyyagBXVRGdnpzZu3Khisaje3l4Vi0Vt3LiRu/nNEjxPIApdwErUmanq5ZfzOlOo0djYyBlLTEMTsE7WRGdnJ8vTLMXzBKLQBaxELVOZ3l6ly2WpUDj9BwMAAADAeUjUZX7FRx9V9utfDz0GYqZarYYeATFDE7BoAhZNIApdwErUMiWp5vUKAPsaFwBNwKIJWDSBKHQBK3HLVDabDT0CYqa5uTn0CIgZmoBFE7BoAlHoAlbilikAAAAAmAmJW6a4zA8Wp+Rh0QQsmoBFE4hCF7ASdTe//ltuCT0CYmhwcDD0CIgZmoBFE7BoAlHoAlaizkwNL16s3OrVocdAzLS0tIQeATFDE7BoAhZNIApdwErUmans3r3KFApSa2voURAjzrnQIyBmaAIWTcCiCUShC1iJOjPV8r3vqfHRR0OPgZjx3oceATFDE7BoAhZNIApdwErUMiXxYmqo1d/fH3oExAxNwKIJWDSBKHQBK3HLVDaTCT0CYqapqSn0CIgZmoBFE7BoAlHoAlbilqlUKnEPCeepoSFRPxqIC4AmYNEELJpAFLqAxeYBAAAAAOcgUet16S1vUZkzUzAGBgZCj4CYoQlYNAGLJhCFLmAlavMYaW+XFi8OPQZihlPysGgCFk3AoglEoQtYiVqmci+/rOY9e0KPgZjJ5XKhR0DM0AQsmoBFE4hCF7AStUwVnnhC+e9/P/QYAAAAAGaBRC1TkjQ6Ohp6BMTM0NBQ6BEQMzQBiyZg0QSi0AWsxC1T4+PjoUdAzIyNjYUeATFDE7BoAhZNIApdwErcMpXNZkOPgJhpbm4OPQJihiZg0QQsmkAUuoCVuGUKAAAAAGZCou7veOy3fkv5fD70GIiZkZGR0CMgZmgCFk3AoglEoQtYiVqmxubPVzn0EIidSqUSegTEDE3AoglYNIEodAErUZf55bq7Na+nJ/QYiJlisRh6BMQMTcCiCVg0gSh0AStRy1ThqafU+MQToccAAAAAMAskapmSJB96AMSO91SB6WgCFk3AoglEoQtYiVumqtVq6BEQM/39/aFHQMzQBCyagEUTiEIXsBK3TPE6U7B4TQhYNAGLJmDRBKLQBazELVMp50KPgJhJp9OhR0DM0AQsmoBFE4hCF7ASdWv0o+98p1q4ywoAAACAGVC3y1RPz6A+9rGf6aGHXv/q+/7gz19ST09Fg4NjOnp0WIsWTbyA75/+6Wpdc01rqFERWLnMq49hOpqARROwaAJR6AJW3S5TUf7xd3PKZgrafHye7rlnlz73uV8NPRJiIJPJcGMSTEMTsGgCFk0gCl3AqutlanTU61Ofek5bt5a0YkVB/331z9VSyElXvDn0aIiRXC7HEx+moQlYNAGLJhCFLmDV9Q0odu0a0IYNS/Tww29Qc3ODup5tCj0SAAAAgFmirpep9vZGXXvtxM9Cvf3tHfq3noxGR0cDT4W4GRoaCj0CYoYmYNEELJpAFLqAVdfLlL0LuhOvTI1a4+PjoUdAzNAELJqARROIQhew6nqZOnBgSM8+e1SS9MgjB/TaRSPKZDKBp0LcNDVx+SemowlYNAGLJhCFLmDV9TK1bFmz7r9/j2677QmVSiO67a/eqvIdd4QeCwAAAMAsULd381u0qEnf+MYbat4/nM3q+uvn6frr5wWYCnE0MjISegTEDE3AoglYNIEodAGrbpepKPlnn534xTXXhBwDMVOpVEKPgJihCVg0AYsmEIUuYNX1ZX5W03PPqW3bttBjIGaKxWLoERAzNAGLJmDRBKLQBaxELVMAAAAAMFMSt0xxa3RY3MYUFk3AoglYNIEodAErcctUdXg49AiImXK5HHoExAxNwKIJWDSBKHQBK3HLVDabDT0CYqa5uTn0CIgZmoBFE7BoAlHoAlai7uZ35P3vV0tLizQ0FHoUxEg6nQ49AmKGJmDRBCyaQBS6gJWoZcpnMlI2e07LVHd3tzZv3qz9+/ero6ND69evV2dn50WYEgAAAEASJOoyv+af/lTj3/veWX9ed3e3urq6VCqV1N7erlKppK6uLnV3d1+EKTHTuL4ZFk3AoglYNIEodAGrLs9MfeYzT9W8r7m5oN/c8iM55/Tgk6M1x1taimppadHY2JgOHuydduyZZx6W96MqFr3Gx49rYGBA1eqg7r67S7/6q7dJkubMmavm5maNjAzrlVdeqfn6ra2tyuebVK1WdfjwoZrjbW1t+uAHV6lUKmnPnj01x5ctW6ZCoaBjx45p3759NcevuOIK5fN5HTlyRPv37685vnLlSuVyOR06dEi9vb01xzs7O5XJZNTX16e+vr6a41dddZXS6bQOHDigw4cP1xxfu3atJKmnp0dHjx6ddiyVSmn16tWSpL179+r48ePTjjc0NOjKK6+UJO3evVv9/f3TjmezWa1atUqStHPnTg0MDEw73tjYqBUrVkiSduzYoSFz5rG5uVnLly+XJL344osaNjchaWtrU0dHhyRp27ZtGh2d3secOXO0ePFiSdKWLVtq7tTT2tqqRYsWSZKef/55WfPmzdPChQs1NjamrVu31hxfsGCBFixYoJGRkcgFvb29XfPnz1e1WtX27dtrjnd0dKitrU2VSkUvvfRSzfHLLrtMc+fOVblc1q5du2qOL1myRMVikfamtJdOpzU2NnbR22tpadHSpUsl0V7c2zt27JjGxsamHa/n5z3aO//2WltbtX///sQ8751Ae+fX3uWXX66mpqZEPO/Fub16kqgzU5KUSp/9QyqXDyuXa5r2vmw2r3K5NjLUH65vhkUTsGgCFje0QpRMJhN6BMSMO9XrMq1Zs8Zv2rRpBsc5Mw8+uDfy/Tf++GvKZBr0g+tuO6uv99hj96pSKSufL7z6vhNv33zzB85r1qluv33xBftaOHMn/oYIOIEmYNEELJpAFLqYndatW/eM9/66qGN1eZnfyZaSeYNzlU6ltOAsl5arr363urq6VCw6FQoFlctllUpeGze+W52dLED1rlKphB4BMUMTsGgCFk0gCl3AStxlfueis7NTGzduVLFYVG9vr4rFojZu3Mjd/BLiVGdfMTvRBCyagEUTiEIXsOryzNTJHJ5ciHQOp187OztZnhKqqamJU/KYhiZg0QQsmkAUuoDFmSkAAAAAOAeJOjNV+NGPlM5kpOuvDz0KYsTethWgCVg0AYsmEIUuYCXqzFRu+3alt2wJPQZiplqthh4BMUMTsGgCFk0gCl3AStQyJUm5XC70CIiZlpaW0CMgZmgCFk3AoglEoQtYiVumAAAAAGAmJG6Z4paVsMbHx0OPgJihCVg0AYsmEIUuYCVqmfINDRoichjlcjn0CIgZmoBFE7BoAlHoAlailqkjd9yh4Y9+NPQYiJlCoRB6BMQMTcCiCVg0gSh0AStRy5QkpVKJe0g4TzQBiyZg0QQsmkAUuoCVqCIKjz+uxs2bQ48BAAAAYBZI1DKV27lT47zOFIz+/v7QIyBmaAIWTcCiCUShC1iJWqYkqaGhIfQIiBleewwWTcCiCVg0gSh0AStxy1Q6nQ49AmImm82GHgExQxOwaAIWTSAKXcBK3DIFAAAAADMhUdfEjefzqnKXFRiDg4OhR0DM0AQsmoBFE4hCF7AStUwdfe97lclkpJGR0KMgRpxzoUdAzNAELJqARROIQhewEncaJ5/Phx4BMUMTsGgCFk3AoglEoQtYiVqmWjZvVv7b3w49BgAAAIBZIFHLVHbfPrmdO0OPgZgZHh4OPQJihiZg0QQsmkAUuoCVqGVKkkbHxkKPgJjhiQ8WTcCiCVg0gSh0AStxy1SO+//DKBQKoUdAzNAELJqARROIQhewErdMAQAAAMBMSNSt0ceKRY1yZgrGGJd+wqAJWDQBiyYQhS5gJWqZOvaud4UeATE0MDAQegTEDE3AoglYNIEodAErcZf5cS0rLJqARROwaAIWTSAKXcBK1DJV/Pa3VXjkkdBjIGZSqURljguAJmDRBCyaQBS6gJWoy/wyBw8qncuFHgMAAADALJC49XqoWg09AmKmVCqFHgExQxOwaAIWTSAKXcBK3DKVaUjUyTZcAPl8PvQIiBmagEUTsGgCUegCVuKWqXQ6HXoExEwmkwk9AmKGJmDRBCyaQBS6gFW3y1RPz6De9a4fTnvfaFub3n7/XN166+N6z3ue1Hve86S+853eQBMCAAAASLJEXRN3/NZbNfLQv+nTf9SpNWvmhB4HMTE4OBh6BMQMTcCiCVg0gSh0Aauul6nRUa9Pfeo5bd1a0ooVBd1999VyzoUeCzHDbUxh0QQsmoBFE4hCF7Dquohduwa0YcMSPfzwG9Tc3KB/+Ytvq+HwYf3xHz/36mV+x44Nhx4TgTU2NoYeATFDE7BoAhZNIApdwKrrM1Pt7Y269tpWSdLb396hBz/9ktyI16f/62u4zA8AAADARVXXZ6bsFX1Okvc+yCyIryqvPQaDJmDRBCyaQBS6gFXXy9SBA0N69tmjkqRHHjmg1y4akRfLFKYbGRkJPQJihiZg0QQsmkAUuoBV18vUsmXNuv/+PbrttidUKo3oQ9cMKuXq+iHhIigUCqFHQMzQBCyagEUTiEIXsOr2Z6YWLWrSN77xhmnvy3z7oL7+qSb18vNSAAAAAC6yul2mopTe+laNNTdLAwOhR0GMjI2NhR4BMUMTsGgCFk0gCl3AStw1cQMsUjBoAhZNwKIJWDSBKHQBK1HL1NyHHlL7t74VegzETEtLS+gREDM0AYsmYNEEotAFrERd5pculZTmlpUwnL2HPmY9moBFE7BoAlHoAlaizkwBAAAAwExJ3DI1xJkpGKVSKfQIiBmagEUTsGgCUegCVuKWqUxDoq5cxAWQz+dDj4CYoQlYNAGLJhCFLmAlavMYvuwyNcxg5N3d3dq8ebP279+vjo4OrV+/Xp2dnTP2/XFmMpmMKpVK6DEQIzQBiyZg0QSi0AWsRJ2Z6l+/XpW3vnVGvld3d7e6urpUKpXU3t6uUqmkrq4udXd3z8j3BwAAABBWXZ6Zev7552veN2/ePC1cuFClUiny+IIFC/SDH1Q1Njamgwd7a44Xi3NUKBQ0Ojqqvr6DNcfnzJmr5uZmjYwM65VXXtEzzzysanVQuZwklZTPN2pkxOm//bcHddVVb6r5/La2NjU25jU0VNGRI0ci5p+vXC6nSmVQR48effX969cXJElXXHGF8vm8jhw5ov3799d8/sqVK5XL5XTo0CH19tY+vs7OTmUyGfX19amvr6/m+FVXXaV0Oq0DBw7o8OHDNcfXrl0rSerp6Zk2nySlUimtXr1akrR3714dP3582vGGhgZdeeWVkqTdu3erv79/2vFsNqtVq1ZJknbu3FnzGg6NjY1asWKFJGnHjh0aGhqadry5uVnLly+XJL344osaHh6ednzOnDlavHixJGnbtm0aHR096fEtW7ZofHx82vHW1lYtWrRI0qnbGxsb09atW2uOL1iwQAsWLNDIyEjkst3e3q758+erWq1q+/btNcc7OjrU1tamSqWil156qeb4ZZddprlz56pcLmvXrl01x5csWaJisahSqaQ9e/bUHF+2bJkKhYKOHTumffv21RxPYnvOOXnvL3p7LS0tWrp0qSTai3t7L7zwgrz3047X8/Me7Z1/e+l0OlHPeyfQ3vm1d6KtJDzvxbm9elKXy9TJtD7wgFLOSVddddG/V7l8WM3NbdPe19jYpGPHasNFWNzGFNaJZQo4gSZgpdPp0CMghugCljvVbx5r1qzxmzZtmsFxzs+8ri415nLq2bAh8viDD+69YN/rscfuVaVSVj5fePV9J96++eYPXLDvc/vtiy/Y15qtTvwNEXACTcCiCVg0gSh0MTutW7fuGe/9dVHHEnVm6nQu5GJy9dXvVldXl4pFp0KhoHK5rFLJa+PGd6uzkwUIAAAASLpE3YBCUs21uRdLZ2enNm7cqGKxqN7eXhWLRW3cuJG7+cVQldceg0ETsGgCFk0gCl3AStyZKfuDjBdTZ2cny1MdmKkFG/WDJmDRBCyaQBS6gJWoM1PV5cvlZuDmE6gvzc3NoUdAzNAELJqARROIQhewEnVmqvzGNypVLEr8YCAAAACAiyxRZ6YkTr+iFk3AoglYNAGLJhCFLmAl6sxU2333SZIG77gj8CSIk8HBwdAjIGZoAhZNwKIJRKELWIk6M+VGR9XIi6nBaGlpCT0CYoYmYNEELJpAFLqAlahlSpJc6AEQO85RBaajCVg0AYsmEIUuYCVumfKhB0DseE8VmI4mYNEELJpAFLqAlbhlihdTg9Xf3x96BMQMTcCiCVg0gSh0AStRy1R15Upp7drQYyBmmpqaQo+AmKEJWDQBiyYQhS5gJepufuUbb+R1plCjoSFRmeMCoAlYNAGLJhCFLmAl6swUAAAAAMyURK3X87q6lHJO+tCHQo+CGBkYGAg9AmKGJmDRBCyaQBS6gJW4M1OpVOIeEs4Tp+Rh0QQsmoBFE4hCF7ASt3kQOaxcLhd6BMQMTcCiCVg0gSh0AStxyxQAAAAAzITELVOjo6OhR0DMDA0NhR4BMUMTsGgCFk0gCl3AStQ1cUOrV/MzU6gxNjYWegTEDE3AoglYNIEodAErUZvHwPXXy/3Gb4QeAzHT3NwcegTEDE3AoglYNIEodAErUcuUGxmRhodDjwEAAABgFkjUMtX25S+r6QtfCD0GYmZkZCT0CIgZmoBFE7BoAlHoAlaililJGuEGFDAqlUroERAzNAGLJmDRBKLQBazELVON3P8fRrFYDD0CYoYmYNEELJpAFLqAlbhlCgAAAABmQuKWKR96AMSO91SB6WgCFk3AoglEoQtYiXqdqcHXvEaDoYdA7PT394ceATFDE7BoAhZNIApdwErUmanKNdcoddNNocdAzPCaELBoAhZNwKIJRKELWIk6M5UaHFRDOh16DMRMmiZg0AQsmoBFE4hCF7ASdWaq9cEHVbjvvtBjAAAAAJgFErVMSVJ1eDj0CIiZcrkcegTEDE3AoglYNIEodAErcctUOpW4h4TzlMlkQo+AmKEJWDQBiyYQhS5gJW7zaGhI1I+B4QLI8ULOMGgCFk3AoglEoQtYiVqm/ujRora9kqiHBAAAACCmEnUa56/uXKVMQ4N4BQBMNTQ0FHoExAxNwKIJWDSBKHQBq26XqcHBUX3iE8/p4MEhjY97ffSjV2jTprI+9ak1ulLS1762T1/84stqacmos7NFmUxKd965Wnfe+XM1Nqa1bVtJhw8P66671urhh/frueeOad26Obr77qslSXfd9YKef/64qtVxvfnNl+r3f39l2AeMczY+Ph56BMQMTcCiCVg0gSh0Aatur4l78slDWrAgp69+9SY99NDrddNN8+VGx9Q4Oqq+viH94z/u0H333aAvfel12rlzYNrnlkojuvfeG/TJT16pP/iDn+mDH1ymr3/99dq+vaxt20qSpI9/fKU2bbpRX/3qTXr66SPq7uZ8V71qamoKPQJihiZg0QQsmkAUuoBVt8vUypUt+vGPD+lv/7ZbzzxzRC0tGTUcOqSm73xXv/jFcV13XZvmzMkqk0np3/27S6d97q//+gI557RyZYvmzctp1aoWpVJOK1YU1NNTkSQ9+miv3vveH+n225/USy+V9fLL3AoTAAAAwC/V7WV+y5Y164EHbtTjjx/SZz+7Xa973TxJ0vj42Gk/N5ud2CFTqV/+WpKck8bGvPbtG9Q99+zSP//zr2nOnIzuvPPnqlZP/3URTyMjI6FHQMzQBCyagEUTiEIXsOr2zFRf35AaG9O69dYOffjDy7V168TleaNjY1q7do6efvqIjh8f0ejouL773YNn9bUHBkaVz6fV0tKgQ4eq+uEPD12Mh4AZUqlUQo+AmKEJWDQBiyYQhS5g1e2Zqe3b+/U3f9OtVMqpocHpz/5sjT7ziX3KZrJacGmjPvKRK/T+9/9Yc+ZktHx5s1pazvyhdnYWdeWVLbrttifU3t6oa69tvYiPBBdbsVhUqVQKPQZihCZg0QQsmkAUuoDlvPcnPbhmzRq/adOmGRzn/Mzr6lJjLqeeDRs0ODiqpqYGjY6O6w//8H/rXe+6TOvXX3r6L4LE4YkPFk3AoglYNIEodDE7rVu37hnv/XVRx+r2zFSU8g03aHzyLiuf//wOPfXUYVWr47rxxnm65ZYFgadDKNzGFBZNwKIJWDSBKHQBK1HLVLWzU9XJX3/iE1cGnQXxUS5zJ0ZMRxOwaAIWTSAKXcCq2xtQREkfOqSWwcHQYyBmmpubQ4+AmKEJWDQBiyYQhS5gJWqZmvvNb6r48MOhx0DMpNPp0CMgZmgCFk3AoglEoQtYiVqmAAAAAGCmJG6Zqg4Phx4BMcP1zbBoAhZNwKIJRKELWIm6AYUkNXD6FUY2m9XQ0FDoMRAjNAGLJmDNRBPd3d3avHmz9u/fr46ODq1fv16dnZ0X9Xvi/PBcAStxZ6a4lhVWNpsNPQJihiZg0QSsi91Ed3e3urq6VCqV1N7erlKppK6uLnV3d1/U74vzw3MFrLo8M/X888/XvG/evHnKveENGsvnI48vWLBACxYs0MjISOQTVXt7u+bPn69qtart27fXHO/o6FBbW5sqlYpeeumlmuOXXXaZ5s6dq3K5rF27dtUcX7Jkyasv9LZnz56a48uWLVOhUNCxY8e0b9++muNXXHGF8vm8jhw5ov3799ccX7lypXK5nA4dOqTe3t6a452dncpkMurr61NfX1/N8auuukrpdFoHDhzQ4cOHa46vXbtWktTT06OjR49OO5ZKpbR69WpJ0t69e3X8+PFpxxsaGnTllRO3qt+9e7f6+/unHc9ms1q1apUkaefOnRoYGJh2vLGxUStWrJAk7dixo+ZvhJqbm7V8+XJJ0osvvqhhc6nnJZdcoksvnXjB5m3btml0dHTa8Tlz5mjx4sWSpC1bttS8hkRra6sWLVok6eTtLVy4UGNjY9q6dWvNcdqLX3vZbFbDw8MXvb2WlhYtXbpUEu3Fvb2o/371/LwXp/Y+//lnao4Xi3NUKBQ0Ojqqvr6DNcfnzJmr5uZmjYw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happiness1300.0NaNNaNNaN-8.335213e-171.214421-2.0-1.789474-1.110223e-161.7894742.0
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" + ], + "text/plain": [ + " count unique top freq mean std min 5.5% \\\n", + "age 1300.0 65.0 64.0 20.0 NaN NaN NaN NaN \n", + "married 1300.0 2.0 0.0 950.0 NaN NaN NaN NaN \n", + "happiness 1300.0 NaN NaN NaN -8.335213e-17 1.214421 -2.0 -1.789474 \n", + "\n", + " 50% 94.5% max \n", + "age NaN NaN NaN \n", + "married NaN NaN NaN \n", + "happiness -1.110223e-16 1.789474 2.0 " + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = sim_happiness(seed=1997, N_years=1000)\n", + "df.describe(percentiles=[0.055, 0.945], include='all').T" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "13f82a62", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 6.21\n", + "plt.figure(figsize=(17, 6))\n", + "\n", + "colors = ['white' if is_married == 0 else 'blue' for is_married in df.married ]\n", + "\n", + "plt.scatter(df.age, df.happiness, color=colors)\n", + "\n", + "plt.title('White - Unmarried | Blue - Married')\n", + "plt.xlabel('Age')\n", + "plt.ylabel('Happiness')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1d2aa94d", + "metadata": {}, + "source": [ + "### R Code 6.22" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "b071c256", + "metadata": {}, + "outputs": [], + "source": [ + "df2 = df[df.age > 17].copy() # Only adults\n", + "df2.loc[:, 'age'] = (df2.age - 18) / (65 - 18)" + ] + }, + { + "cell_type": "markdown", + "id": "8857a7e0", + "metadata": {}, + "source": [ + "### R Code 6.23" + ] + }, + { + "cell_type": "markdown", + "id": "8b2b5c71", + "metadata": {}, + "source": [ + "Modelo:\n", + "\n", + "$$ happiness \\sim Normal(\\mu_i, \\sigma) $$\n", + "\n", + "$$ \\mu_i = \\alpha_{_{MID}[i]} + \\beta_A \\times A_i $$\n", + "\n", + "prioris:\n", + "\n", + "$$ \\alpha_{_{MID}[i]} \\sim Normal(0, 1)$$\n", + "\n", + "$$ \\beta_A \\sim Normal(0, 2) $$\n", + "\n", + "$$ \\sigma \\sim Exponential(1); $$" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "70e19b4f", + "metadata": { + "scrolled": true, + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 15% (1200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 40% (3200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 62% (5000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.000115 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fshdmqak/model_n7n6r2wh.stan', line 22, column 8 to column 38)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fshdmqak/model_n7n6r2wh.stan', line 22, column 8 to column 38)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000172 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.72 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000173 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.73 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000164 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.64 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fshdmqak/model_n7n6r2wh.stan', line 22, column 8 to column 38)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_fshdmqak/model_n7n6r2wh.stan', line 22, column 8 to column 38)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] age;\n", + " vector[N] happiness;\n", + " array[N] int married; // Must be integer because this is index to alpha. \n", + " }\n", + " \n", + " parameters {\n", + " vector[2] alpha; // can also be written like this: real alpha[2] or array[2] int alpha;\n", + " real beta_age;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha[ married[i] ] + beta_age * age[i];\n", + " }\n", + " \n", + " happiness ~ normal(mu, sigma);\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0, 1);\n", + " beta_age ~normal(0, 2);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(df2.happiness.values),\n", + " 'age': df2.age.values,\n", + " 'happiness': df2.happiness.values,\n", + " 'married': df2.married.values + 1 # Because the index in stan starting with 1 \n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "9fdb4842", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha[0]-0.190.06-0.30-0.07
alpha[1]1.380.091.221.53
beta_age-0.810.11-1.02-0.62
sigma0.970.020.931.02
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha[0] -0.19 0.06 -0.30 -0.07\n", + "alpha[1] 1.38 0.09 1.22 1.53\n", + "beta_age -0.81 0.11 -1.02 -0.62\n", + "sigma 0.97 0.02 0.93 1.02" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "e5aab3a3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples, title='Married and Unmarried')" + ] + }, + { + "cell_type": "markdown", + "id": "b8af454d", + "metadata": {}, + "source": [ + "### R Code 6.24" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "c3ed78c6", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 16% (1300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 22% (1800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 48% (3800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 66% (5300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 81% (6500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 0.00011 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000102 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.02 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 0.000176 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.76 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_6fm3z8ym/model_cddx5h2j.stan', line 21, column 8 to column 38)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 0.000138 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 1.38 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] age;\n", + " vector[N] happiness;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta_age;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha + beta_age * age[i];\n", + " }\n", + " \n", + " happiness ~ normal(mu, sigma);\n", + " \n", + " alpha ~ normal(0, 1);\n", + " beta_age ~ normal(0, 2);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(df2.happiness.values),\n", + " 'happiness': df2.happiness.values,\n", + " 'age': df2.age.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "1791ca51", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha-0.000.08-0.150.14
beta_age0.000.14-0.230.27
sigma1.220.031.171.27
\n", + "
" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha -0.00 0.08 -0.15 0.14\n", + "beta_age 0.00 0.14 -0.23 0.27\n", + "sigma 1.22 0.03 1.17 1.27" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "18979936", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ], + "text/plain": [ + " C P G U\n", + "0 0.986995 1.197787 -0.795915 1\n", + "1 5.715446 3.573636 0.072746 1\n", + "2 -4.387763 -3.131400 -0.261240 -1\n", + "3 2.598454 0.462321 -1.298047 1\n", + "4 6.614388 4.931193 2.676112 1" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(3)\n", + "\n", + "U = 2 * np.random.binomial(n=1, p=0.5, size=N) - 1 # {-1, 1}\n", + "# U = np.random.normal(0, 1, N) # Simulation more realistic example \n", + "\n", + "G = np.random.normal(0, 1, size=N) # Has not influence\n", + "\n", + "P = np.random.normal(b_GP*G + b_U*U, 1, size=N)\n", + "\n", + "C = np.random.normal(b_PC*P + b_GC*G + b_U*U, 1, size=N)\n", + "\n", + "d = pd.DataFrame.from_dict({'C':C, 'P':P, 'G':G, 'U':U})\n", + "\n", + "d.head()" + ] + }, + { + "cell_type": "markdown", + "id": "e0f4cf8f", + "metadata": {}, + "source": [ + "### R Code 6.27" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "96fc9f31", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 4.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.5 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "# C ~ P + G\n", + "\n", + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] C;\n", + " vector[N] P;\n", + " vector[N] G;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real b_PC;\n", + " real b_GC;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha + b_PC*P[i] + b_GC*G[i];\n", + " }\n", + " \n", + " C ~ normal(mu, sigma);\n", + " \n", + " alpha ~ normal(0, 1);\n", + " b_PC ~ normal(0, 1);\n", + " b_GC ~ normal(0, 1);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.C.values),\n", + " 'C': d.C.values,\n", + " 'P': d.P.values,\n", + " 'G': d.G.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "8fe98b4c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.070.10-0.100.24
b_PC1.770.041.701.84
b_GC-0.820.10-1.01-0.65
sigma1.330.071.201.45
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.07 0.10 -0.10 0.24\n", + "b_PC 1.77 0.04 1.70 1.84\n", + "b_GC -0.82 0.10 -1.01 -0.65\n", + "sigma 1.33 0.07 1.20 1.45" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "4434c499", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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X7Wyjn12084fNFIBZr/DMM8p/73uhxwAAALMMmynPhoeHQ4+AOtDPrmq1GnoExMS6s4t2ttHPLtr5w2bKs7GxsdAjoA70s2t8fDz0CIiJdWcX7Wyjn12084fNlGeNjY2hR0Ad6GdXJpMJPQJiYt3ZRTvb6GcX7fxhMwUAAAAAMXDfRM9GR0dDj4A60M+m3l//deXz+dBjICbWnV20s41+dtHOHzZTng0NDYUeAXWgn01jCxaoHHoIxMa6s4t2ttHPLtr5w2V+nhWLxdAjoA70synb0aH5nZ2hx0BMrDu7aGcb/eyinT9spgDMeoVnn1XumWdCjwEAAGYZNlOeRVEUegTUgX52Uc4u1p1dtLONfnbRzh82U5719/eHHgF1oJ9dlUol9AiIiXVnF+1so59dtPOHzZRn3PffNvrZxetM2cW6s4t2ttHPLtr5w2bKs2QyGXoE1IF+diWcCz0CYmLd2UU72+hnF+384dboAGa90x/4gJq4sxEAAJhinJnyrFzm1W4so59N43PmqJ+f0pnFurOLdrbRzy7a+WP2zFRn56Duu+95PfbYrZd823vv/Rd1d1eUySTV0JDUn/7pRq1cWdDo6Li+8pX9+s53XlNjY0rptNPHPrZa73znwmmbO51O80R4w+hnU+6ll5RJp1Vauzb0KIiBdWcX7Wyjn12088fsZurN+vzn36oNG+Zox46j+uIXO/TAA2/TV76yX93dFT322K3KZBLq7q7oued6pnWObDbLg9sw+tnU+NxzymWzbKaMYt3ZRTvb6GcX7fwxfZlftRrpM595UVu2PKP/8B/+VUNDY5d8n7e9rVlHjgxqaGhMjz56TP/pP61XJnPmn2HBgqze854l0z02AAAAgFnA9Gbq0KEB3XPPcj3++DvV2JjS9u1HLvk+3//+z7RmTZOOHBnUkiU5FQp+T84NDw97/fMwtehnV7VaDT0CYmLd2UU72+hnF+38Mb2ZamnJ6frrmyVJ73tfq55//vQF3/aP/uhFffCDP9S//utpffrTbb5GrDE+Ph7sz0b96GcXrwZvF+vOLtrZRj+7aOeP6edMnf+yMRd7GZnXnzP1ujlzxnTixLDK5arXs1MNDQ0qlUre/jxMLfrZlU6nQ4+AmFh3dtHONvrZRTt/TJ+ZOnFiWC+8cOZs1BNPnNANNzRf9vvm80nddddSff7zezU6emb33tMzoief7JqWWQGEc3rrVpU//OHQYwAAgFnG9GZqxYpGPfzwEW3Z8oxKpVHdfffyN/X+n/jEGs2bl9Edd/xAd975A9133y4VCtP7WjSjo6PT+vExvehn03hDg0YymdBjICbWnV20s41+dtHOH3ex5xFs2LAh2r59u8dxAGDq5V94QZI0dN11QecAAAD2bNq0aVcURTdOdsz0mSmLisVi6BFQB/rZ1PDii5q3b1/oMRAT684u2tlGP7to54/pG1Cc71Ofel6dnUMTfu8P/3CtbrllYaCJAAAAAMxWs2oz9eUv3xB6hEviVpW20c8ubo1uF+vOLtrZRj+7aOcPl/l5Vi6XQ4+AOtDPrsrISOgREBPrzi7a2UY/u2jnD5spzxobG0OPgDrQz64Md/Mzi3VnF+1so59dtPNnVl3mZ0EyOb23Xsf0op9NPR/6kJqamqTh4dCjIAbWnV20s41+dtHOHzZTAGa9KJ2WMhk2UwCAGh0dHdq5c6eOHz+u1tZWbd68WW1tbaHHghFc5ucZ17DaRj+bGn/8Y41/97uhx0BMrDu7aGfbldCvo6ND7e3tKpVKamlpUalUUnt7uzo6OkKPVpcrod1MYfLM1O7du2t+b/78+VqyZInGxsa0d+/emuOLFi3SokWLNDo6OukCaWlp0YIFC1SpVLR///6a462trZo3b56Ghob0yiuv1BxfunSp5s6dq3K5rEOHDtUcX758uYrFooaGhib9+CtWrFChUFBvb6+OHTtWc3zVqlXK5/Pq6enR8ePHa46vWbNG2WxW3d3d6urqqjne1tamdDqtkydP6uTJkzXHr7nmGiWTSZ04cUKnTp2qOb5x40ZJUmdnp06fPj3hWCKR0Pr16yVJR48eVV9f34TjqVRK69atkyQdPnxY/f39E45nMhmtXbtWknTw4EENDAxMOJ7L5bR69WpJ0oEDBzR83tmFxsZGrVy5UpL08ssva+S8Gw00NTXp6quvliTt27dP1Wp1wvE5c+Zo2bJlkqQ9e/bU3AGnublZV111lSTppZde0tjY2ITjVh57pVJJR44cqTl+JTz2cnv2qNTXp9253ITjlh57lj/v1fvYK5VKk358C489yf7nvXoee865Sd/fymPP8uc9qf7H3sGDB2vef6Y+9nbuLJ/984tqamrS2NiYXnuttk2xOEeFQkHValUnT76mXbseV6UyqGxWkkrK5XKqVp2+9KUdWrfuXTXv39zcrHy+QZVKRadOddccv/fe9TPisdfT0zPpx7fy2LOEM1OepdPp0COgDlyDbFciwac7q/i8aRftbLsSvuaVy6eUyeQn/F4u16C+vp8FmmhqpFImz5eY5C722isbNmyItm/f7nGc2e/1n1bAJvrZNL+9XblsVp333BN6FMTAurOLdrZZ6rdjx9FY7/fUU1/X0FBZ+Xzhjd97/de33fbbb/rjbd26LNYcU81SOws2bdq0K4qiGyc7xrbVs6GhodAjoA70s2t0dDT0CIiJdWcX7Wyz1C/uJubaa+9Se3u7ikWnQqGgcrmsUinStm13qa1tZmyM4rDUzjque/HsYmcCMfPRD/CPdWcX7Wy7Evq1tbVp27ZtKhaL6urqUrFY1LZt28zfze9KaDdTcGbKs4aGBk67GkY/m06d/UIp2pnEurOLdrZdKf3a2trMb57Od6W0mwk4MwUAAAAAMXBmyrPzbyEKW+hnU+Gf/1nJdFp6+9tDj4IYWHd20c42+tlFO384M+VZpVIJPQLqQD+bsvv3K7lnT+gxEBPrzi7a2UY/u2jnD5spz5qamkKPgDrQz67smVdkhEGsO7toZxv97KKdP2ymAAAAACAGNlOejY+Phx4BdaCfXdwm1i7WnV20s41+dtHOHzZTnpXL5dAjoA70sylKpTTMFxazWHd20c42+tlFO3/YTHlWKBRCj4A60M+mng9/WCMf/WjoMRAT684u2tlGP7to5w+bKc8SCf7JLaOfXbSzi3Z20c42+tlFO3/4lwYw6xWeflq5nTtDjwEAAGYZNlOe9ff3hx4BdaCfTdmDBzXO60yZxbqzi3a20c8u2vnDZsozXuvGNvrZlUqlQo+AmFh3dtHONvrZRTt/2Ex5lslkQo+AOtDPrmQyGXoExMS6s4t2ttHPLtr5w2YKAAAAAGLguhfPBgcHQ4+AOtDPpvF8XhXubGQW684u2tlGP7to5w+bKc+cc6FHQB3oZ9Ppu+9WOp2WRkdDj4IYWHd20c42+tlFO3/4Ua1n+Xw+9AioA/3sop1dtLOLdrbRzy7a+cNmCsCs17Rzp/L/+I+hxwAAALMMmynPRkZGQo+AOtDPpsyxY3IHD4YeAzGx7uyinW30s4t2/rCZ8owHt230s6s6NhZ6BMTEurOLdrbRzy7a+cNmyrNCoRB6BNSBfnZlec0Ns1h3dtHONvrZRTt/2EwBAAAAQAzcGt2zMS41Mo1+No0Vi6pyZsos1p1dtLONfnbRzh82U54NDAyEHgF1oJ9NvXfeGXoE1IF1ZxftbKOfXbTzh8v8POMaVtvoZxft7KKdXbSzjX520c4fNlOeJRL8k1tGP5uK//iPKjzxROgxEBPrzi7a2UY/u2jnD5f5AZj10q+9pmQ2G3oMAAAwy7Bt9axUKoUeAXWgn13DlUroERAT684u2tlGP7to5w+bKc/y+XzoEVAH+tmVTnEi3irWnV20s41+dtHOHzZTnqXT6dAjoA70syuZTIYeATGx7uyinW30s4t2/vCjWgCzXnXePI3xUzoAADDFzG6mOjsHdd99z+uxx2695NtWq+P6i784oP/1v7qUz5/56fSv/mqLfv/3V0mSursr+sIX9mr37j41NaU1f35Gn/nMNVqxonHK5x4cHJzyjwl/6GdT3/vfr4FUSqpWQ4+CGFh3dtHONvrZRTt/zG6m3owHHtiv7u6KvvnNW5TNJjUwUFV7+0FJUhRF+tSnntcdd1yl//bfrpMkdXSUdOpUZVo2U9yq0jb62UU7u2hnF+1so59dtPPH9GaqWo30mc+8qL17S1q9uqD777/2jTNPrxsaGtOjjx7Tk0/+srLZM8caG1P69/9+jSTpf//vHqVSCd199/I33qetrThtM+dyOY2MjEzbx8f0op9Nc/7hH5TP59X1rneFHgUxsO7sop1t9LOLdv6Y3rYeOjSge+5Zrscff6caG1Pavv1IzdscOTKoJUtyamycfN944EC/1q+fvs0TgPBSPT1KdneHHgMAAMwypjdTLS05XX99syTpfe9r1fPPn77k+zz22DF98IM/1Lve9ZS6uoame8QaFV7rxjT62VXl+VJmse7sop1t9LOLdv6Y3kw5d/FfS9Ly5Q06cWJYAwNnvpG6886l+sY3blFTU0pjY5FWrWrSnj3+XthsdHTU25+FqUc/u8bGx0OPgJhYd3bRzjb62UU7f0xvpk6cGNYLL5w5G/XEEyd0ww3NNW+Tzyd1111L9V//6x5VKmOSpLGxSKOjZ76xesc75ml0dFw7dhx94306Ovq1a1fPtMxcKBSm5ePCD/rZlc1kQo+AmFh3dtHONvrZRTt/TN+AYsWKRj388BH98R/v1qpVhQk3kTjXJz6xRl/5yn7deecP1diYVDab1JYtV2nRopycc/rSl67XF76wT1/96qvKZpNqbc3rM59Z5/lvA2C6jC5erHRDQ+gxAADALOOiKLrgwQ0bNkTbt2/3OM7s19jYqIGBgdBjICb62UU7u2hnF+1so59dtJtamzZt2hVF0Y2THTN9mZ9FPLBto59dtLOLdnbRzjb62UU7f0xf5ne+T33qeXV2TrxD3x/+4VrdcsvCQBPVampqUn9/f+gxEBP9bJr72GPK5XLq+rVfCz0KYmDd2UU72+hnF+38mVWbqS9/+YbQI1ySm+yWgzCDfjYlSyUluU2sWaw7u2hnG/3sop0/XOYHAAAAADGwmfKsVPL3mlaYevSza5gzU2ax7uyinW30s4t2/rCZ8iyfz4ceAXWgn13p1Ky6qvmKwrqzi3a20c8u2vnDdxeepdNpDQ0NXfoNPevo6NDOnTt1/Phxtba2avPmzWpraws91owzU/vh4kaWLlWKLyxmse7sop1t9LOLdv5wZgrq6OhQe3u7SqWSWlpaVCqV1N7ero6OjtCjAVOif/NmDb3nPaHHAAAAs4zJM1O7d++u+b358+dryZIlGhsb0969e2uOL1q0SIsWLdLo6Oikm4SWlhYtWLBAlUpF+/fvrzne2tqqefPmaWhoSK+88krN8aVLl2ru3Lkql8s6dOjQhGM7d5Y1b9485XJ5jYxU1N3dPcn8C5TNZjU0NKjTp0/XHF+4cKHS6YwGBgbU19c7yd9vsVKplMrlskqlvprjixe3KJlMqr+/X/39E6+j3bXrcaVSUl9fpEqlWyMjI6pUBnX//e1629u2nP37XyVJ6u3t1eDgxNcucC6hJUuWSJJOn+6p+UlIIpFUS0uLJKmn55SGh4cnHE8mU1q8eLEkqbu7WyMjE5/bkk6ntXDhIknS9ddXat6/sbFRK1eulCS9/PLLGhkZmXC8qalJV199tSRp3759qlarE47PmTNHy5YtkyTt2bNH4+PjE443NzfrqqvO/P1/9KMf6fwXup7Jjz1JWr58uYrFokqlko4cOVJzfMWKFSoUCurt7dWxY8dqjq9atUr5fF49PT06fvx4zfE1a9Yom82qu7tbXV1dNcfb2tqUTqd18uRJnTx5sub4Nddco2QyqRMnTujUqVM1xzdu3ChJ6uzsrFkbiURC69evlyQdPXpUfX0TH/upVErr1q2TJL300ks1xzOZjNauXStJOnjwYM3rcuRyOa1evVqSdODAgaCPPWuf96Spe+wdOXJk0uNWHnuHDx+uuUXxlfLY6+3t1Z49e2qOW3nsWf+8V+9j74UXXtDg4OCE41Yee9Y/79X72Hv11VcnPW7lsWcJZ6Y8m4m3qiyXTymbbZjwe5lMXuVy7SK70s3Efri05kce0fInngg9BmJKJpOhR0BMtLMtkeDbRKto5487/6fs59qwYUO0fft2j+PMTjt2HH3jv/P5nIaGhi/y1v499dTXNTRUVj5feOP3Xv/1bbf9dsDJam3duizon//6T5tgy/z2duWyWXXec0/oURAD684u2tlGP7toN7U2bdq0K4qiGyc7ZvIyP2vO3QDMxAf3tdfepfb2dhWLToVC4eylgpG2bbtLbW1hNy8AAADATMU5QM8qM/C1btra2rRt2zYVi0V1dXWpWCxq27Zt3M1vEjOxHy7P+dftww7WnV20s41+dtHOH85MeTZTv6Fra2tj83QZZmo/XNr5T3KGHaw7u2hnG/3sop0/nJnyrLGxMfQIqAP9bKqsXCl3zTWhx0BMrDu7aGcb/eyinT+cmQIw65V/6ZeUKBalGfZ8RQAAYBtnpjzjtKtt9LOLdnbRzi7a2UY/u2jnD2emPDv/xe9gC/1smvfgg5KkwQ9/OPAkiIN1ZxftbKOfXbTzhzNTnjU1NYUeAXWgn02uWlWOFw81i3VnF+1so59dtPOHzZRnzrnQI6AO9LOLcnax7uyinW30s4t2/rCZ8iyKotAjoA70s4tydrHu7KKdbfSzi3b+sJnyrL+/P/QIqAP97OIFDO1i3dlFO9voZxft/GEz5VlDQ0PoEVAH+tlUWbNG2rgx9BiIiXVnF+1so59dtPOHu/l5lkrxT24Z/Wwq33wzrzNlGOvOLtrZRj+7aOcPZ6YAAAAAIAa2rZ4NDAyEHgF1oJ9N89vblXBO+shHQo+CGFh3dtHONvrZRTt/ODPlGaddbaOfXYkEn+6sYt3ZRTvb6GcX7fzhuwvPstls6BFQB/rZxRcWu1h3dtHONvrZRTt/2EwBAAAAQAxspjwbHh4OPQLqQD+7qtVq6BEQE+vOLtrZRj+7aOcP1714NjY2FnoE1IF+Ng2vX89zpgxj3dlFO9voZxft/OG7C88aGxtDj4A60M+mgbe/Xe5XfiX0GIiJdWcX7Wyjn12084fNFIBZz42OSiMjoccAAACzDJspz0ZHR0OPgDrQz6Z5Dz2khr/5m9BjICbWnV20s41+dtHOHzZTng0NDYUeAXWgn12j3IDCLNadXbSzjX520c4fNlOeFYvF0COgDvSzK8drbpjFurOLdrbRzy7a+cNmCgAAAABiYDPlWRRFoUdAHehnF+XsYt3ZRTvb6GcX7fzhdaY86+/vDz0C6kA/mwbf+lYNhh4CsbHu7KKdbfSzi3b+cGbKM+77bxv9bBq67jolbrkl9BiIiXVnF+1so59dtPOHM1OeJZPJ0COgDvSzKTE4qBTtzGLd2UU72+hnF+384cwUgFmveccOFR58MPQYAABglmEz5Vm5XA49AupAP7sqIyOhR0BMrDu7aGcb/eyinT9spjxLp9OhR0Ad6GdXMsGnO6tYd3bRzjb62UU7f/juwrMsLxxqGv3sSqV4iqhVrDu7aGcb/eyinT+zajP1J3+yW6+8wmlNAAAAANNvVv2o9r/8l42hR7ik4eHh0COgDvSzaeDGGzXCmSmzWHd20c42+tlFO3/MfncxOFjVpz/9ol57bVjj45E++tFV2r79iD796XXasGGOvvnNY/rqV19VU1NabW1NSqcT+uxn1+uzn/2Jcrmk9u0r6dSpEX3ucxv1+OPH9eKLvdq0aY7uv/9aSdLnPveSdu/uU6Uyrn/zbxbr4x9fMyVzj4+PT8nHQRj0s2l4wwZVUympWg09CmJg3dlFO9voZxft/DF7md8Pf9itRYuyevTRW/TYY7fqllsWvHHs5Mlh/dVfHdCDD96kv/3bd+jgwYEJ71sqjerrX79J//E/rtMnPvG8fud3Vuhb37pV+/eXtW9fSZL0yU+u0fbtN+vRR2/Rc8/1qKNjal5JuqGhYUo+DsKgn02Jvj41jo6GHgMxse7sop1t9LOLdv6Y3UytWdOkH/2oW1/8Yod27epRU9PP71ry05/26cYb52nOnIzS6YR+9VcXT3jfX/7lRXLOac2aJs2fn9XatU1KJJxWry6os3NIkvTkk126++5/1tatP9Qrr5T16qs8Fwuwqvlb31Jh+/bQYwAAgFnG7GV+K1Y06pFHbtbTT3frgQf26x3vmH/Z75vJnNlDJhI//29Jck4aG4t07Nigvva1Q/q7v/tFzZmT1mc/+xNVKmNTMvcoPx03jX52jY1NzRqGf6w7u2hnG/3sop0/Zs9MnTw5rFwuqfe/v1X33rtSe/eW3ji2ceMcPfdcj/r6RlWtjuuf/um1N/WxBwaqyueTampKqbu7oh/8oHvK5h4aGpqyjwX/6GfXKM+XMot1ZxftbKOfXbTzx+yZqf37+/Vnf9ahRMIplXL6z/95g/77f98nSVq8OKff+71V+tCHfqQ5c9JaubJRTU2X/1dtaytq3bombdnyjFpacrr++uYpm7tYLKpUKl36DTEj0c+uHK+5YRbrzi7a2UY/u2jnj4ui6IIHN2zYEG03+jyDwcGqGhpSqlbH9Qd/8K+6886l2rx58aXfcZrx4LaNfjbNb29XLptV5z33hB4FMbDu7KKdbfSzi3ZTa9OmTbuiKLpxsmNmz0xdyl/+5QE9++wpVSrjuvnm+br99kWhR5LErSqto59N5Ztu0jh3NjKLdWcX7Wyjn12082fWbqY+/el1oUeYVLnMXQEto59NlbY2VUIPgdhYd3bRzjb62UU7f8zegMKqxsbG0COgDvSzKdndrabBwdBjICbWnV20s41+dtHOHzZTniWTydAjoA70s2nut7+t4uOPhx4DMbHu7KKdbfSzi3b+sJkCAAAAgBjYTHnGNay20c+uyshI6BEQE+vOLtrZRj+7aOfPrL0BxUyVyWQ0PDwcegzERD+7UlzyYBbrzi7aXVxHR4d27typ48ePq7W1VZs3b1ZbW1vosd5AP7to5w9npjzLZDKhR0Ad6GcX14/bxbqzi3YX1tHRofb2dpVKJbW0tKhUKqm9vV0dHR2hR3sD/eyinT8mX7R39+7dNb83f/58LVmyRGNjY9q7d2/N8UWLFmnRokUaHR2d9BNVS0uLFixYoEqlov3799ccb21t1bx58zQ0NKRXXnml5vjSpUs1d+5clctlHTp0qOb48uXLVSwWNT4+rj179tQcX7FihQqFgnp7e3Xs2LGa46tWrVI+n1dPT4+OHz9ec3zNmjXKZrPq7u5WV1dXzfG2tjal02mdPHlSJ0+erDl+zTXXKJlM6sSJEzp16lTN8Y0bN0qSOjs7dfr06QnHEomE1q9fL0k6evSo+vr6JhxPpVJat+7MreoPHz6s/v7+CcczmYzWrl0rSTp48KAGBgYmHM/lclq9erUk6cCBAzU/aWlsbNTKlSslSS+//LJGzrucq6mpSVdffbUkad++fapWqxOOz5kzR8uWLZMk7dmzp+a1GZqbm3XVVVdd8ONbeeyVSiUdOXKk5viV8NjLvvqquru7dfi815qy9Niz/Hmv3sfeheaz8NiT7H/eq+exl8vl9Nxzz9Ucn6mPvZ07z1watXDhQqXTGQ0MDKivr3eSv99ipVIplctllUp9NccXL25RMplUf3+/+vtrXzi1pWWJnn76IfX19SiRSL/x+5XKoLLZBr3//f9OktTb26vBwYmPDecSWrJkiSTp9OkeDQ0NTTieSCTV0tIiSerpOVXz2EkmU1q8eLG2bl12ycfesWPH1Ns78e9v5bFn/fNevV9zLzSflc97M83FXrSXM1OeccrVtvO/KMCGylveor7W1tBjIKZKhVcJs4qveRfW13dS2ez5P+DJq1yu/QY3lNHR0dAjICY+b/pj8syUZalUim/IDaOfTemuLiWTSQ0vXBh6FMTAurPLWrsdO456+7OeeurrGhoqK58vvPF7r//6ttt+e9r//K1bl13ybaz1w8/Rbmpd7MwUN6DwrKGhQaVS7Sl/2EA/m4pPPqlcNqvOe+4JPQpiYN3ZZa3d5Wwwpsq1196l9vZ2FYtOhULh7CWDkbZtu0ttbf7muBhr/fBztPOHy/wAAAA8a2tr07Zt21QsFtXV1aVisaht27bNqLv5Abg0zkx5dv4TNWEL/ewaGxsLPQJiYt3ZRbuLa2trm9GbJ/rZRTt/ODPlGU8ItI1+dnHtuF2sO7toZxv97KKdP2ymPGtqago9AupAP7uy2WzoERAT684u2tlGP7to5w+X+QGY9fpvv11RoXDpNwQAAHgT2Ex5dv6L08EW+tk0smyZRgoFqVwOPQpiYN3ZRTvb6GcX7fxhM+VZmW/mTKOfTZmjRzUiSctmxu2G8eaw7uyinW30s4t2/vCcKc8KXGpkGv1savrud7XgBz8IPQZiYt3ZRTvb6GcX7fxhM+VZIsE/uWX0s8s5F3oExMS6s4t2ttHPLtr5w780AAAAAMTAZsqz/v7+0COgDvSzi9fcsIt1ZxftbKOfXbTzh82UZ7zWjW30syuV4n47VrHu7KKdbfSzi3b+sJnyLJPJhB4BdaCfTaV3v1uVO+4IPQZiYt3ZRTvb6GcX7fxhMwVg1httadFYa2voMQAAwCzDdS+eDQ4Ohh4BdaCfTdlXX1U1mZSuvjr0KIiBdWcX7Wyjn12084czU55xe2bb6GdT4ZlnVHj66dBjICbWnV20s41+dtHOHzZTnuXz+dAjoA70syudToceATGx7uyinW30s4t2/rCZAgAAAIAY2Ex5NjIyEnoE1IF+do2NjYUeATGx7uyinW30s4t2/rCZ8owHt230s6vKZsos1p1dtLONfnbRzh82U54VCoXQI6AO9LOp99d/XdXf/M3QYyAm1p1dtLONfnbRzh82UwBmvbEFCzS+cGHoMQAAwCzD60x5xvM2bKOfTdmODiXyeWn58tCjIAbWnV20s41+dtHOH85MeTYwMBB6BNSBfjYVnn1Wye99L/QYiIl1ZxftbKOfXbTzh82UZ1zDahv97MpmMqFHQEysO7toZxv97KKdP2ymPEsk+Ce3jH528WrwdrHu7KKdbfSzi3b+8C8NAAAAADGwmfKsVCqFHgF1oJ9dw5VK6BEQE+vOLtrZRj+7aOcPmynP8vl86BFQB/rZdPoDH9Dwb/1W6DEQE+vOLtrZRj+7aOcPmynP0ul06BFQB/rZND5njpILFoQeAzGx7uyinW30s4t2/vA6UwBmvdxLLynT2CitWBF6FAAAMIuwmfJscHAw9AioA/1sanzuuTN3NmIzZRLrzi7a2UY/u2jnD5f5ecatKm2jn13cGt0u1p1dtLONfnbRzh/+pT3L5XKhR0Ad6GdXKsWJeKtYd3bRzjb62UU7f9hMAQAAAEAMbKY8q/BaN6bRz65qtRp6BMTEurOLdrbRzy7a+cN1L56Njo6GHgF1oJ9Np7du5TlThrHu7KKdbfSzi3b+cGbKs0KhEHoE1IF+No03NKhx8eLQYyAm1p1dtLONfnbRzh/OTAGY9fIvvKBMQ4O0dm3oUQAAwCzCZsqzsbGx0COgDvSzqeHFF5XOZNhMGcW6s4t2ttHPLtr5w2V+ng0MDIQeAXWgn10jIyOhR0BMrDu7aGcb/eyinT9spjxramoKPQLqQD+7stls6BEQE+vOLtrZRj+7aOcPmynPuKOYbfSzi3J2se7sop1t9LOLdv6wmQIAAACAGLgBhWelUin0CKgD/Wzq+dCHQo+AOrDu7KKdbfSzi3b+cGbKs3w+H3oE1IF+NkXptHLFYugxEBPrzi7a2UY/u2jnD5spz9LpdOgRUAf62dT44x+r8NxzocdATKw7u2hnG/3sop0/bKYAzHq5PXuU+elPQ48BAABmGTZTnnHff9voZxevM2UX684u2tlGP7to5w+bKc+SyWToEVAH+tmVSPDpzirWnV20s41+dtHOH7678CyXy4UeAXWgn12pFDcvtYp1ZxftbKOfXbTzh80UAAAAAMTgoii68EHnfibpsL9xrggLJHWHHgKx0c8u2tlFO7toZxv97KLd1Lo6iqKFkx246GYKU88591wURTeGngPx0M8u2tlFO7toZxv97KKdP1zmBwAAAAAxsJkCAAAAgBjYTPn3P0IPgLrQzy7a2UU7u2hnG/3sop0nPGcKAAAAAGLgzBQAAAAAxMBmapo557Y6515yzo075y54VxXn3Huccx3OuQPOuT/yOSMuzDk3zzn3T865/Wf/v/kCbzfmnHvh7P8e9z0nfu5Sa8k5l3XObT97/F+ccysCjIlJXEa733XO/eyctfZ7IeZELefcV51zJ51zuy9w3Dnn/vxs2584527wPSMmdxntbnPO9Z2z7v7Y94yYnHNumXPue865PWe/1/zUJG/D2ptmbKam325Jd0l6+kJv4JxLSvoLSb8mab2k33LOrfczHi7hjyTtjKJojaSdZ389maEoiq47+78t/sbDuS5zLf1bSaejKFot6f+W9AW/U2Iyb+Lz4PZz1tpfex0SF/M1Se+5yPFfk7Tm7P9+X9L/42EmXJ6v6eLtJOmZc9bdn3qYCZenKun/iKJovaSbJH18ks+brL1pxmZqmkVRtDeKoo5LvNkvSDoQRdGrURSNSHpY0h3TPx0uwx2S2s/+d7ukD4QbBZfhctbSuU2/IWmzc855nBGT4/OgYVEUPS2p5yJvcoekv43OeFbSXOfcEj/T4WIuox1mqCiKTkRR9PzZ/+6XtFfSVee9GWtvmrGZmhmuknT0nF8fU+1iQBiLoyg6cfa/uyQtvsDb5ZxzzznnnnXOfcDPaJjE5aylN94miqKqpD5J871Mh4u53M+Dv3H2UpVvOOeW+RkNU4Cvc7b9onPuRefc/+ec2xB6GNQ6e8n69ZL+5bxDrL1plgo9wGzgnPuOpJZJDn02iqK/9z0P3pyL9Tv3F1EURc65C93+8uooijqdc2+R9F3n3E+jKHplqmcFrnD/IOnvoiiqOOc+qjNnGG8PPBMw2z2vM1/jys6590r6ls5cMoYZwjlXkPSopD+IoqgUep4rDZupKRBF0bvq/BCdks79CevSs78HDy7Wzzn3mnNuSRRFJ86eFj95gY/Refb/X3XOPaUzPx1iM+Xf5ayl19/mmHMuJWmOpFN+xsNFXLJdFEXndvprSf+Xh7kwNfg6Z9S535xHUfSEc+4vnXMLoijqDjkXznDOpXVmI/VgFEXfnORNWHvTjMv8ZoYfS1rjnFvpnMtIukcSd4SbGR6XtO3sf2+TVHOm0TnX7JzLnv3vBZJukbTH24Q41+WspXObflDSdyNecG8muGS7867z36Izzw+ADY9L+sjZO4vdJKnvnEuoMYM551pef16pc+4XdOZ7R34ANQOc7fI3kvZGUfTFC7wZa2+acWZqmjnn7pT0gKSFkr7tnHshiqJ3O+daJf11FEXvjaKo6py7T9KTkpKSvhpF0UsBx8bPfV7SI865fyvpsKS7Jcmduc39x6Io+j1J10j6K+fcuM58kfl8FEVspgK40Fpyzv2ppOeiKHpcZ77w/E/n3AGdedL1PeEmxusus90nnXNbdOYOVj2SfjfYwJjAOfd3km6TtMA5d0zSn0hKS1IURf+vpCckvVfSAUmDku4NMynOdxntPijp3znnqpKGJN3DD6BmjFsk/Y6knzrnXjj7e/+npOUSa88Xx3oAAAAAgDePy/wAAAAAIAY2UwAAAAAQA5spAAAAAIiBzRQAAAAAxMBmCgAAAABiYDMFAAAAADGwmQIAAACAGNhMAQAAAEAM/z9lrROKlDj5FgAAAABJRU5ErkJggg==\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 6.5\n", + "plt.figure(figsize=(17, 6))\n", + "\n", + "colors = ['black' if u <= 0 else 'blue' for u in U] # Unobserved\n", + "\n", + "x = np.linspace(-3, 4)\n", + "y = np.mean(samples['alpha']) + np.mean(samples['b_GC']) * x\n", + "\n", + "plt.plot(x, y, c='k')\n", + "\n", + "plt.scatter(G, C, c=colors)\n", + "plt.xlabel('Granparent Education (G)')\n", + "plt.ylabel('GranChild Education (C)')\n", + "plt.title('Educations - Bias Collider')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "93fe0f3b", + "metadata": {}, + "source": [ + "### R Code 6.28" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "03ebe5f8", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 8% (600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 12% (1000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 38% (3000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 59% (4700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 9.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.91 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.89 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.73 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] C;\n", + " vector[N] P;\n", + " vector[N] G;\n", + " vector[N] U;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real b_PC;\n", + " real b_GC;\n", + " real b_U;\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha + b_PC*P[i] + b_GC*G[i] + b_U*U[i];\n", + " }\n", + " \n", + " C ~ normal(mu, sigma);\n", + " \n", + " alpha ~ normal(0, 1);\n", + " b_GC ~ normal(0, 1);\n", + " b_PC ~ normal(0, 1);\n", + " b_U ~ normal(0, 1);\n", + " sigma ~ exponential(1);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.C.values),\n", + " 'C': d.C.values,\n", + " 'P': d.P.values,\n", + " 'G': d.G.values,\n", + " 'U': d.U.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "3296e29e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.070.07-0.060.21
b_PC1.000.070.861.12
b_GC-0.030.10-0.220.15
b_U1.970.171.682.27
sigma1.020.050.931.11
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.07 0.07 -0.06 0.21\n", + "b_PC 1.00 0.07 0.86 1.12\n", + "b_GC -0.03 0.10 -0.22 0.15\n", + "b_U 1.97 0.17 1.68 2.27\n", + "sigma 1.02 0.05 0.93 1.11" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "8960382f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples)" + ] + }, + { + "cell_type": "markdown", + "id": "3e5a3524", + "metadata": {}, + "source": [ + "### R Code 6.29\n", + "\n", + "Reference: [*ksachdeva*](https://colab.research.google.com/github/ksachdeva/rethinking-tensorflow-probability/blob/master/notebooks/06_the_haunted_dag_and_the_causal_terror.ipynb#scrollTo=wyUj47f7-kLy)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "97881f4c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dag_6_1 = CausalGraphicalModel(\n", + " nodes=[\"C\", \"U\", \"B\", \"A\", \"X\", \"Y\"],\n", + " edges=[\n", + " (\"U\", \"X\"),\n", + " (\"A\", \"U\"),\n", + " (\"A\", \"C\"),\n", + " (\"C\", \"Y\"),\n", + " (\"U\", \"B\"),\n", + " (\"C\", \"B\"),\n", + " (\"X\", \"Y\"),\n", + " ],\n", + ")\n", + "\n", + "pgm = daft.PGM()\n", + "coordinates = {\n", + " \"U\": (0, 2),\n", + " \"C\": (4, 2),\n", + " \"A\": (2, 3),\n", + " \"B\": (2, 1),\n", + " \"X\": (0, 0),\n", + " \"Y\": (4, 0),\n", + "}\n", + "for node in dag_6_1.dag.nodes:\n", + " pgm.add_node(node, node, *coordinates[node])\n", + "for edge in dag_6_1.dag.edges:\n", + " pgm.add_edge(*edge)\n", + "pgm.render()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "6e030064", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "frozenset({'C'})\n", + "frozenset({'A'})\n" + ] + } + ], + "source": [ + "all_adjustment_sets = dag_6_1.get_all_backdoor_adjustment_sets(\"X\", \"Y\")\n", + "\n", + "for s in all_adjustment_sets:\n", + " if all(not t.issubset(s) for t in all_adjustment_sets if t != s):\n", + " if s != {\"U\"}:\n", + " print(s)" + ] + }, + { + "cell_type": "markdown", + "id": "68b50209", + "metadata": {}, + "source": [ + "### R Code 6.30" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "49cc5991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dag_6_2 = CausalGraphicalModel(\n", + " nodes=['S', 'A', 'M', 'W', 'D'],\n", + " edges=[\n", + " ('S','W'),\n", + " ('S','M'),\n", + " ('S','A'),\n", + " ('A','M'),\n", + " ('A','D'),\n", + " ('M','D'),\n", + " ('W','D'),\n", + " ],\n", + ")\n", + "\n", + "# Drawing the DAG\n", + "pgm = daft.PGM()\n", + "coordinates = {\n", + " \"S\": (0, 2),\n", + " \"A\": (0, 0),\n", + " \"M\": (1, 1),\n", + " \"W\": (2, 2),\n", + " \"D\": (2, 0),\n", + "}\n", + "for node in dag_6_2.dag.nodes:\n", + " pgm.add_node(node, node, *coordinates[node])\n", + "for edge in dag_6_2.dag.edges:\n", + " pgm.add_edge(*edge)\n", + "pgm.render()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "dfed1764", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "frozenset({'A', 'M'})\n", + "frozenset({'S'})\n" + ] + } + ], + "source": [ + "# R Code 6.30\n", + "\n", + "all_adjustment_sets = dag_6_2.get_all_backdoor_adjustment_sets(\"W\", \"D\")\n", + "\n", + "\n", + "for s in all_adjustment_sets:\n", + " if all(not t.issubset(s) for t in all_adjustment_sets if t != s):\n", + " print(s)" + ] + }, + { + "cell_type": "markdown", + "id": "52d7399f", + "metadata": {}, + "source": [ + "### R Code 6.31\n", + "\n", + "Reference: [*Fehiepsi - Numpyro*](https://github.com/fehiepsi/rethinking-numpyro/blob/master/notebooks/06_the_haunted_dag_and_the_causal_terror.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "b6da226b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('M', 'W', {'S'})\n", + "('W', 'A', {'S'})\n", + "('S', 'D', {'W', 'A', 'M'})\n" + ] + } + ], + "source": [ + "all_independencies = dag_6_2.get_all_independence_relationships()\n", + "\n", + "for s in all_independencies:\n", + " if all(\n", + " t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])\n", + " for t in all_independencies\n", + " if t != s\n", + " ):\n", + " print(s)" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_7.ipynb b/_sources/parte_7.ipynb new file mode 100644 index 0000000..9844d59 --- /dev/null +++ b/_sources/parte_7.ipynb @@ -0,0 +1,6829 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "95177c93", + "metadata": {}, + "source": [ + "# 7 - Compasso de Ulisses" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c959eff7", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "from videpy import Vide\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d78c9936", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "387751b9", + "metadata": {}, + "source": [ + "### R Code 7.1 - Pag 194" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e3b2396b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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6sapiens135053.5
\n", + "
" + ], + "text/plain": [ + " species brain mass\n", + "0 afarensis 438 37.0\n", + "1 africanus 452 35.5\n", + "2 habilis 612 34.5\n", + "3 boisei 521 41.5\n", + "4 rudolfensis 752 55.5\n", + "5 ergaster 871 61.0\n", + "6 sapiens 1350 53.5" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sppnames = ('afarensis', 'africanus', 'habilis', 'boisei', 'rudolfensis', 'ergaster', 'sapiens')\n", + "brainvolcc = (438, 452, 612, 521, 752, 871, 1350)\n", + "masskg = (37.0, 35.5, 34.5, 41.5, 55.5, 61.0, 53.5)\n", + "\n", + "d = pd.DataFrame({'species':sppnames, 'brain': brainvolcc, 'mass':masskg})\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9f9721d9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(15, 7))\n", + "ax.scatter(d.mass, d.brain, marker='o', s=50)\n", + "\n", + "for i, text in enumerate(sppnames):\n", + " ax.annotate(text, (d.mass[i]+0.3, d.brain[i]+10))\n", + " \n", + "ax.set_title('Figure 7.2 - Relationshiip between Brain and Body hominin species')\n", + "ax.set_xlabel('Body mass')\n", + "ax.set_ylabel('Brain volume')\n", + "\n", + "ax.grid(ls='--', color='white', alpha=0.4)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7d1d8f5e", + "metadata": {}, + "source": [ + "### R Code 7.2 - pag 196" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0829d158", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10.90489186863706" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.std(d.mass, ddof=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9494969c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10.90489186863706" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.mass.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "eb45ab23", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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speciesbrainmassmass_stdbrain_std
0afarensis43837.0-0.7794670.324444
1africanus45235.5-0.9170200.334815
2habilis61234.5-1.0087220.453333
3boisei52141.5-0.3668080.385926
4rudolfensis75255.50.9170200.557037
5ergaster87161.01.4213800.645185
6sapiens135053.50.7336161.000000
\n", + "
" + ], + "text/plain": [ + " species brain mass mass_std brain_std\n", + "0 afarensis 438 37.0 -0.779467 0.324444\n", + "1 africanus 452 35.5 -0.917020 0.334815\n", + "2 habilis 612 34.5 -1.008722 0.453333\n", + "3 boisei 521 41.5 -0.366808 0.385926\n", + "4 rudolfensis 752 55.5 0.917020 0.557037\n", + "5 ergaster 871 61.0 1.421380 0.645185\n", + "6 sapiens 1350 53.5 0.733616 1.000000" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d['mass_std'] = (d.mass - d.mass.mean())/d.mass.std()\n", + "d['brain_std'] = d.brain / np.max(d.brain)\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5bcc0daa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(15, 7))\n", + "ax.scatter(d.mass_std, d.brain_std, marker='o', s=50)\n", + "\n", + "for i, text in enumerate(sppnames):\n", + " ax.annotate(text, (d.mass_std[i]+0.03, d.brain_std[i]+0.03))\n", + " \n", + "ax.set_title('Figure 7.2 - Relationshiip between Brain and Body hominin species')\n", + "ax.set_xlabel('Body mass - Rescaling')\n", + "ax.set_ylabel('Brain volume - Rescaling')\n", + "\n", + "ax.grid(ls='--', color='white', alpha=0.4)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "37d79ddc", + "metadata": {}, + "source": [ + "### R Code 7.3 - pag 196" + ] + }, + { + "cell_type": "markdown", + "id": "120223ca", + "metadata": {}, + "source": [ + "Modelo linear:\n", + "\n", + "$\\begin{align}\n", + "b_i \\sim Normal(\\mu_i, \\sigma) \\\\ \n", + "\\mu_i = \\alpha + \\beta m_i \\\\\n", + "\\alpha \\sim Normal(0.5, 1) \\\\\n", + "\\beta \\sim Normal(0, 10) \\\\\n", + "\\sigma \\sim LogNormal(0, 1) \\\\\n", + "\\end{align}$\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b6b97033", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " // real log_sigma; // Like the book\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta * body;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " beta ~ normal(0, 10);\n", + " sigma ~ lognormal(0, 1);\n", + " // log_sigma ~ normal(0, 1); // Like the book \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " // brain ~ normal(mu, exp(sigma)); // Like the book\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_1 = stan.build(model, data=data)\n", + "samples_1 = posteriori_1.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f59bd82e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
alpha0.530.110.310.71
beta0.160.12-0.060.37
sigma0.270.120.120.46
\n", + "
" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.53 0.11 0.31 0.71\n", + "beta 0.16 0.12 -0.06 0.37\n", + "sigma 0.27 0.12 0.12 0.46" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "dff4aa15", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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rwpEpGFLltFMYQ5OwhiZhCT2Gi82UccM33eR6BCBgbGzM9QhAAE3CGpqEJfQYLk7zawCc6wpL6BHW0CSsoUlYQo/hYjNlXP6b31T2gQdcjwHURCI8bcAWmoQ1NAlL6DFcnOZnXPzMGUWTSddjAAAAAJiFrWoDmCyVXI8A1BQKBdcjAAE0CWtoEpbQY7jYTDWAeIwDiLAjnU67HgEIoElYQ5OwhB7DxWaqAUSjUdcjADXxeNz1CEAATcIamoQl9BguDnkYV2lrU5WfKAAAAADmNOyRqZMnx3XTTd+b8+Pvu++EBgYmQ5woHCPvfa8G3/Uu12MANePj465HAAJoEtbQJCyhx3A17Gbqlfr610/q7NnGvJADl7SEJfQIa2gS1tAkLKHHcDX0aX6Viq8//MOntH9/QRs3ZnXbbVfp+eeL+rM/O6Dx8apaW+P6zGe268c/HtYzzxT0R3/0lJLJqO6440368pcP6+GHB1QqTeu1r23Rpz/dI8/zXH9IdZr/5V+UTqfV//a3ux4FkCSlUilNTU25HgOooUlYQ5OwhB7D1dBb1SNHxrRr1xrdf/9blMnEdNddx/TZz+7XF75wte6++1rddNMq3X77Qb3jHZ3q6cnrc597rf75n69TKhXVzTev0V13Xat7771epdK0Hn74rOsP55JiQ0OKDg66HgMAAADALA19ZKqzM6Wrr26VJL3nPV362799XocOjeq3fusxSVK16mv58kvf8PY//mNIX/7yYU1MVFUolLVhQ1Y33NCxYLO/EpVKxfUIQE2J+57BGJqENTQJS+gxXA29mZp9Vl4mE9WGDVndeeebX/L9SqWqPvOZfdqz583q7EzrS186qKmpaoiTXp7q9LTrEYCacrnsegQggCZhDU3CEnoMV0Of5nf69KSefPK8JOmBB07rqqtadP58ufa2cnlahw6NSpIymZjGxmaO8JRKM5uTlpaExscr+ta3zjiYfu6SiYTrEYCabDbregQggCZhDU3CEnoMV0MfmVq3LqO77jqmP/mTp7VhQ1Y337xW113Xrs9+dr+KxYqqVV8f+chabdyY0/ved4VuvfWZ2gUofvmXV+mmm76n9vakenqaXX8oL6q8YoXiTU2uxwAAAAAwi+f7/osu9vT0+Hv27FnAcXApmUxGY2NjrscAJNEj7KFJWEOTsIQeL9/27duf8H3/mkutNfRpfksF/wFgCT3CGpqENTQJS+gxXGymjGu59151/uu/uh4DqMnlcq5HAAJoEtbQJCyhx3A19GumloJooaAol7SEIRZvbo2ljSZhDU3CEnoMF0emAAAAAGAe2Ew1gEmOTMGQQqHgegQggCZhDU3CEnoMF5upBhCPcTYm7Ein065HAAJoEtbQJCyhx3DxXbpxU6tWKcZ/giWvr69Pe/fu1alTp9TV1aUdO3aou7vbySzxeFwTExNO/m7gUmgS1tAkLKHHcHFkyrjRHTs08a53uR4DDvX19am3t1eFQkGdnZ0qFArq7e1VX1+f69EAAACWtIY8MvX000/XvW3ZsmVauXKlqtWq9u/fr717i4H1XC6vXC6narWqM2f6694/n29WNptVpVLRwMCZuvXm5hZlMhmVy1M6e/Zs3Xpra6vS6SaVSiWdOzdYt97W1qZUKq3JyQkNDQ1dYv52JZNJTUyM6/z587NWPS1f3q54PKGxsTGNjAzXvX9HxwrFYjEVi0UVCiN16ytWdCoajWp0dFSjo/XnznZ2rlQkEtHIyIjGxop1611dV0iShoeHNT4evF+B50W0cuVKSdL580N1P/2IRKLq7OyUJA0NndPk5GRgPRqNacWKFZKkwcFBTU0FXyMWj8e1fHmHJOns2QGVy+XAeiKRVHt7uyTpzJkzqlYrgfVUKqW2tmWSpP7+fk1PVwPr6XRara1tkqTTp0/L96cD601NGbW0tEiSTp06qdkymayam5s1PT2t/v7TdeuX294zz/w/VSqezp+vaGzslCSpVBrXbbf16ud+7saQ25OWL18+qz1P0s9u9k17i7e9V/N57+qrp+rW161bp2w2q+HhYZ04caJufcOGDUqn0xoaGtKpU6fq1jdt2qRkMqkjR45ccr27u1vxeFwDAwMaGBioW7/yyisVjUZ1+vRpnTt3rm5927ZtkqSTJ0/W/d+IRCLaunWrJOn48eMaGQm2H4vFtGXLFknS0aNHNTo6GlhPJBLavHmzJOnw4cN194FJpVLauHGjJOnQoUN17WYyGa1fv16S9Oyzz2pqKvjvm8vltHbtWknSgQMHVKkE22xubtbq1aslSfv27dP0dLC91tZWXXHFzP+9uXzNna2jo0MdHR0ql8uX/MFPZ2en2tvbVSqVdPDgwbr1rq4utbW1aWJiQs8991zd+qpVq9TS0qJisagjR47Ura9Zs0b5fF6FQkHHjh2rW3+12hscHFR/f/3/ra1btyoSidAe7dWth93epZ73PM+T78983W6U9hoJR6aMe+v+h/TW/Q+7HgMOFQpnlUo1Bd6WSKRVLNY/CS4ELrEKayIRvpTBlmg06noEoIav2+HyXtipXkpPT4+/Z8+eBRzn1XPPPcddj/CquPaHX1M8HtPD19zoehQ48tBDd2hioqh0Olt72wu/v+GGjyz4POl0ShMTky//QOAiO3euDu3PfuGnwIAVNAlL6PHybd++/Qnf96+51FpDnuY3F2F+4V5Iy8ZblEom1bFIPh68cldd9QH19vYqn/eUzWYvnE7na/fuD6i7e+G74EkZAABgBudGNIDZ5xtjaenu7tbu3buVz+fV39+vfD6v3bt3O7uaX4n7nsEYmoQ1NAlL6DFci/bI1GIy+8WZWHq6u7udbZ5mY3MPa2gS1tAkLKHHcHFkyrjS+vXyrrzS9RhATSaTcT0CEECTsIYmYQk9hosjU8YVf+EXFMnnJV6jAgAAAJjCkakGwOFZWEKPsIYmYQ1NwhJ6DBdHpoxru/NOSdL4hz/seBJgxvj4uOsRgACahDU0CUvoMVwcmTLOq1SU4uZ/MCSXy7keAQigSVhDk7CEHsPFZqoBcN9qWMKd1GENTcIamoQl9BguNlMNwHc9AHAR36dI2EKTsIYmYQk9hovNVAPgZmuwZHR01PUIQABNwhqahCX0GC42U8aVNm2Stm1zPQZQ09TU5HoEIIAmYQ1NwhJ6DBdX8zOueO213GcKpsRiPG3AFpqENTQJS+gxXByZAgAAAIB5YKtq3LLeXkU8T/q1X3M9CiBJGhsbcz0CEECTsIYmYQk9hosjUw0gEuHTBDs4XQDW0CSsoUlYQo/h4rv0BsB/AliSTCZdjwAE0CSsoUlYQo/hYjMFAAAAAPPAZqoBVCoV1yMANZOTk65HAAJoEtbQJCyhx3Bx/phxk1u38popmFKtVl2PAATQJKyhSVhCj+Hiu3Tjxt7wBnm/+IuuxwBqMpmM6xGAAJqENTQJS+gxXGymjPPKZWlqyvUYAAAAAGZhM2Vc21e+oqa/+zvXYwA15XLZ9QhAAE3CGpqEJfQYLjZTDaDMBShgyMTEhOsRgACahDU0CUvoMVxsphpAivsDwJB8Pu96BCCAJmENTcISegwXmykAAAAAmAc2Uw3Adz0AcBHfp0jYQpOwhiZhCT2Gi/tMGTf+2tdq3PUQwEVGR0ddjwAE0CSsoUlYQo/h4siUcROve50i113negyghvtVwBqahDU0CUvoMVwcmTIuMj6uWDTqegygJkqPMIYmYQ1NwhJ6DBdHpoxrveceZe+80/UYAAAAAGZhM9UASlNTrkcAaorFousRgACahDU0CUvoMVxsphpANMKnCXbE43HXIwABNAlraBKW0GO4+C69AcRivLQNdiS5iTSMoUlYQ5OwhB7Dtag2U5/+9NN67jkOZQIAAAAI36I65PGnf7rN9QivurFrrtEUR6ZgyOTkpOsRgACahDU0CUvoMVwN+136+HhFn/rUUzpzZlLT075++7c3aM+eY/rUp7aop6dZX/vaCf393z+vXC6u7u6c4vGIbrllq2655SdKpaI6cKCgc+emdOut23T//af01FPD2r69WbfddpUk6dZbn9HTT4+oVJrWL/3SCn3845ucfJyTPT2qxGJSpeLk7wdmm56edj0CEECTsIYmYQk9hqthT/P7/vcH1dGR1Fe/ep3uvfd6XXdde21tYGBSf/3Xh3TnnW/SP/7jG3X48FjgfQuFsu644036gz/Yot/93R/pV391ne6773odPFjUgQMFSdInP7lJe/Zcq69+9To9/viQ+vrc3D06MjKiTLns5O8GLqWpqcn1CEAATcIamoQl9Biuht1MbdqU0w9/OKgvfKFPTzwxpFzuZ1cq+elPR3TNNW1qbk4oHo/oHe9YEXjft761Q57nadOmnJYtS2rz5pwiEU8bN2Z18uSEJOnBB/v1wQ/+QDt3fl/PPVfU88+7eS1W6333Kbtnj5O/GwAAAMCLa9jT/Naty+juu6/Vd787qC9+8aDe+MZlc37fRGJmDxmJ/OzXkuR5UrXq68SJcf3DPxzRP/3Tm9XcHNctt/xEpVL1Vf8Y5qpadfd3A7OVOVIKY2gS1tAkLKHHcDXskamBgUmlUlG9971d+tjH1mv//kJtbdu2Zj3++JBGRsqqVKb1rW+deUV/9thYRel0VLlcTIODJX3ve4Ov9vivSJnXS8GQiYkJ1yMAATQJa2gSltBjuBr2yNTBg6P6/Of7FIl4isU8/fEf9+jP//yAJGnFipR+4zc26Oabf6jm5rjWr88ol5v7h9rdndeWLTndeOMj6uxM6eqrW8P6MOYkxf0BYEg+n1ehUHj5BwILhCZhDU3CEnoMl+f7/osu9vT0+Hsa9PU64+MVNTXFVKlM6/d+78e66aZV2rFjxcu/ozHLenuVSiZ1ctcu16MAknhShj00CWtoEpbQ4+Xbvn37E77vX3OptYY9MvVyvvSlQ3r00XMqlaZ17bXL9La3dbgeaV6Kb3qTprkKCwzhEquwhiZhDU3CEnoM16LdTH3qU1tcj/CqKHV3q+R6COAixaKbK1sCL4YmYQ1NwhJ6DFfDXoBiqYgODio3Pu56DKAmk8m4HgEIoElYQ5OwhB7DxWbKuJZvfEP5++93PQZQE41GXY8ABNAkrKFJWEKP4WIzBQAAAADzwGaqAZSmplyPANRw7jWsoUlYQ5OwhB7DtWgvQLGYxDg8C0MSiYQmJyddjxGavr4+7d27V6dOnVJXV5d27Nih7u5u12PhJSz2JtF4aBKW0GO4ODLVADjXFZYkEgnXI4Smr69Pvb29KhQK6uzsVKFQUG9vr/r6+lyPhpewmJtEY6JJWEKP4WrII1NPP/103duWLVumlStXqlqtav/+/XXrHR0d6ujoULlcvuQ3Rp2dnWpvb1epVNLBgwfr1ru6utTW1qaJiQk999xzdeurVq1SS0uLisWijhw5Ure+Zs2a2k3Tjh07Vre+bt06ZbNZDQ8P68SJE7W35zs7FY/H1TIxoXQ6raGhIZ06daru/Tdt2qRkMqnBwUH19/fXrXd3dysej2tgYEADAwN161deeaWi0ahOnz6tc+fO1a1v27ZNknTy5EmdP38+sBaJRLR161ZJ0vHjxzUyMhJYj8Vi2rJl5lL1R48e1ejoaGA9kUho8+bNkqTDhw9rbGwssJ5KpbRx40ZJ0qFDh+p+upLJZLR+/XpJ0rPPPqupWadF5nI5rV27VpJ04MABVSqVwHpzc7NWr14tSdq3b1/d/RhaW1v1gx/MvO3UqZOaLZPJqrm5WdPT0+rvP123nsvllcvlVK1WdeZM/ecmn29WNptVpVLRwMCZuvXm5hZlMhmVy1M6e/Zs3Xpra6vS6SaVSiWdOzdYt97W1qZUKq3JyQkNDQ3VrS9b1q5kMqmJifG6z60kLV++XPF4QmNjYxoZGVY0GlO1+rN/w46OFYrFYioWiyoURuref8WKTkWjUY2Ojmp0tP6mgZ2dKxWJRDQyMqKxsfpTEbq6rpAkDQ8Pa3w82IbnRbRy5UpJ0vnzQ5qYmAisRyJRdXZ2SpKGhs7VtRONxrRixczNvAcHB/XDH96jUmlcyaQkFRSNRuR5nm6//Wvq6XmHyuVy4P0TiaTa29slSWfOnAn8u0gz7ba1LZMk9ff3a3q6GlhPp9NqbW2TJJ0+fVq+H2yvqSmjlpYWSbQ3MjJct/5Ce1NTUxocrJ+vkdqbmpq5CcaOHVlJNp73rrhi5uNfSl9zX7Bhw4bL+pp7zTUz9/bkay7tzRZ2e5f6fi+RSNQ+T43SXiNpyM3UUlK44gpFIhG1uB4EuGAx3/yvWDynTKYt8LZUqkkjI/XfDMGO2d+sAa5xShUs4TkyXJ7v+y+62NPT4+/Zs2cBx8Fs8f5+RaNRTS5f7nqUJe2ee467HsGMaDSianVxbqgeeugOTUwUlU5na2974fc33PARh5PhpSymJnfuXO16BLwKYrEY38DCDHq8fNu3b3/C9/1rLrXGkSnj8g8+qFQyqZO7drkeZUnjG5yfeeH0hcXoqqs+oN7eXuXznrLZ7IVTF33t3v0BdXfTgFWLuUk0pqamJpqEGfQYLi5AAQAXdHd3a/fu3crn8+rv71c+n9fu3bu5mh8AALgkjkw1gGq1+vIPAhbI7BcbLzbd3d1snhrMYm8SjYcmYQk9hosjUw2A81xhSalUcj0CEECTsIYmYQk9hovNVANIzlynGTAhl8u5HgEIoElYQ5OwhB7DxWl+xo2+7W3ys9mXfyAAAACABcVmyrip1as1lc1KxfobSgIuLOb7TKEx0SSsoUlYQo/hYjNlXOL4cU1J0mouywwbimzsYQxNwhqahCX0GC5eM2Vc7tvfVvv3vud6DKAmy2mnMIYmYQ1NwhJ6DBebqQbgeZ7rEYCaSISnDdhCk7CGJmEJPYaLf10AAAAAmAc2Uw2A+wPAktHRUdcjAAE0CWtoEpbQY7jYTDWAWIzrhMAO7nsGa2gS1tAkLKHHcPFdunGFd76TFw7ClEQiocnJSddjADU0CWtoEpbQY7g4MmVcubNT1a4u12MAAAAAmIUjU8Yln39elWhUWrvW9SiAJGl8fNz1CEAATcIamoQl9BgujkwZl33kEWW/+13XYwA1XKof1tAkrKFJWEKP4WIz1QDi8bjrEYCadDrtegQggCZhDU3CEnoMF5spAAAAAJgHNlMNoFqtuh4BqJmamnI9AhBAk7CGJmEJPYaLzVQDqLCZgiE8KcMamoQ1NAlL6DFcbKaMG373u1X50IdcjwHUcN8zWEOTsIYmYQk9hovNlHHV9nZNL1/uegwAAAAAs3CfKeOSfX2KpNPSmjWuRwEk8Ro+2EOTsIYmYQk9hosjU8ZlH31U0e98x/UYQM3Y2JjrEYAAmoQ1NAlL6DFcbKYaQDKRcD0CUMO517CGJmENTcISegwXm6kGwJ2rYUkkwtMGbKFJWEOTsIQew8W/LgAAAADMA5upBjBZKrkeAagpFAquRwACaBLW0CQsocdwcTU/486///1Kp9OuxwBq0um0JiYmXI8B1NAkrKFJWEKP4eLIlHHTzc2Ktre7HgOoicfjrkcAAmgS1tAkLKHHcHFkyrjUM88okclI69a5HgUAAADARdhMGZd5/PGZq7CwmYIR4+PjrkcAAmgS1tAkLKHHcHGaXwPg0uiwhEuswhqahDU0CUvoMVz86zaAWIwDiLAjlUq5HgEIoElYQ5OwhB7DxWYKAAAAAOaBzVQDqFQqrkcAakrc9wzG0CSsoUlYQo/h4vwx487v3MlrpmBKuVx2PQIQQJOwhiZhCT2GiyNTxk03NSmzYoXrMYCabDbregQggCZhDU3CEnoMF0emjEs/+aQSTU3S5s2uRwEAAABwETZTxjU99ZTiiQSbKZhRrVZdjwAE0CSsoUlYQo/h4jS/BjA1NeV6BKBmbGzM9QhAAE3CGpqEJfQYLjZTDSCZTLoeAajJ5XKuRwACaBLW0CQsocdwsZlqAFzLD5ZwdUlYQ5OwhiZhCT2Gi80UAAAAAMwDF6Awbujmm12PAAQUCgXXIwABNAlraBKW0GO4ODJlnB+PK5XPux4DqEmn065HAAJoEtbQJCyhx3CxmTIu89hjyj7+uOsxgJp4PO56BCCAJmENTcISegwXmynjUvv2KfHTn7oeAwAAAMAsbKYaAPeZgiXcrwLW0CSsoUlYQo/hYjPVACIRPk2wIxqNuh4BCKBJWEOTsIQew8V36Q0gFuOii7AjlUq5HgEIoElYQ5OwhB7DxWYKAAAAAObB833/xRc976ykows3Dl5Eu6RB10MAF9AjrKFJWEOTsIQeL99a3/eXX2rhJTdTsMHzvMd937/G9RyARI+whyZhDU3CEnoMF6f5AQAAAMA8sJkCAAAAgHlgM9UY/sb1AMBF6BHW0CSsoUlYQo8h4jVTAAAAADAPHJkCAAAAgHlgMwUAAAAA88BmygjP897leV6f53mHPM/7o0usJz3P23Nh/d89z1vnYEwsIXNo8vc9z9vned5PPM/b63neWhdzYul4uSYvetwve57ne57HpYARmrn06HneBy88Tz7jed5XFnpGLC1z+Lq9xvO873ie9+MLX7v/k4s5FxteM2WA53lRSc9K+iVJJyQ9JulXfN/fd9Fj/qukq3zf/x3P83ZJusn3/Q85GRiL3hyb/EVJ/+77/rjnef9F0g00ibDMpckLj8tJ+oakhKRP+L7/+ELPisVvjs+RmyTdLeltvu+f9zyvw/f9AScDY9GbY5N/I+nHvu//H8/ztkp6wPf9dS7mXUw4MmXDz0s65Pv+877vT0m6S9L7Zj3mfZJ6L/z6nyXt8DzPW8AZsbS8bJO+73/H9/3xC799VNKqBZ4RS8tcnicl6VZJ/0vS5EIOhyVnLj3+pqT/7fv+eUliI4WQzaVJX1L+wq+bJZ1awPkWLTZTNlwh6fhFvz9x4W2XfIzv+xVJI5KWLch0WIrm0uTFfl3Sv4Y6EZa6l23S87zXS1rt+/43FnIwLElzeY7cLGmz53nf9zzvUc/z3rVg02EpmkuT/0PSRzzPOyHpAUm/uzCjLW4x1wMAaGye531E0jWS3up6FixdnudFJH1B0kcdjwK8ICZpk6QbNHPk/rue5233fX/Y5VBY0n5F0j/4vv95z/PeLOn/ep63zff9adeDNTKOTNlwUtLqi36/6sLbLvkYz/Nimjk8e25BpsNSNJcm5Xne2yXdIulG3/dLCzQblqaXazInaZukhzzPOyLpTZLu5yIUCMlcniNPSLrf9/2y7/uHNfN6lk0LNB+Wnrk0+euaeR2ffN//oaSUpPYFmW4RYzNlw2OSNnmet97zvISkXZLun/WY+yXtvvDr/yzp2z5XD0F4XrZJz/OulvTXmtlI8VoAhO0lm/R9f8T3/Xbf99ddeEH1o5ppkwtQIAxz+bp9n2aOSsnzvHbNnPb3/ALOiKVlLk0ek7RDkjzPu1Izm6mzCzrlIsRmyoALr4H6hKQHJe2XdLfv+894nvc/Pc+78cLD/k7SMs/zDkn6fUkvellg4HLNsck/k5SVdI/neU96njf7SRt41cyxSWBBzLHHByWd8zxvn6TvSPrvvu9zRglCMccm/5uk3/Q87ylJ/yTpo/xg/vJxaXQAAAAAmAeOTAEAAADAPLCZAgAAAIB5YDMFAAAAAPPAZgoAAAAA5oHNFAAAAADMA5spAAAAAJgHNlMAAAAAMA//HwkVntRHzG5uAAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples_1)" + ] + }, + { + "cell_type": "markdown", + "id": "1285624b", + "metadata": {}, + "source": [ + "### R Code 7.4 - pag 196\n", + "\n", + "Just example code in R\n", + "\n", + "`m7.1_OLS <- lm(brain_std ~ brain_std, data=d)`" + ] + }, + { + "cell_type": "markdown", + "id": "e9c5a8ca", + "metadata": {}, + "source": [ + "### R Code 7.5 - pag 197" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "a43935e3", + "metadata": {}, + "outputs": [], + "source": [ + "def var2(x):\n", + " return np.sum(np.power(x - np.mean(x), 2))/len(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f46b43da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.4887460670115684" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mean_std = [np.mean((samples_1['alpha'].flatten() + samples_1['beta'].flatten() * mass)) for mass in d.mass_std.values]\n", + "r = mean_std - d.brain_std\n", + "\n", + "resid_var = var2(r)\n", + "outcome_var = var2(d.brain_std)\n", + "\n", + "1 - resid_var/outcome_var" + ] + }, + { + "cell_type": "markdown", + "id": "3229e7a8", + "metadata": {}, + "source": [ + "### R Code 7.6 - Pag 197" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "95ae50be", + "metadata": {}, + "outputs": [], + "source": [ + "def R2_is_bad():\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "id": "7d3bd17c", + "metadata": {}, + "source": [ + "### R Code 7.7 - pag 198" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a03f5b6f", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_brnqnd8l/model_5rhounxn.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[2];\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + beta[2] * body^2;\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:2){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 1); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_2 = stan.build(model, data=data)\n", + "samples_2 = posteriori_2.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9e15e5ab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meanstd7.0%93.0%
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beta[1]-0.070.26-0.520.43
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" + ], + "text/plain": [ + " mean std 7.0% 93.0%\n", + "alpha 0.58 0.25 0.06 1.00\n", + "beta[0] 0.18 0.17 -0.13 0.47\n", + "beta[1] -0.07 0.26 -0.52 0.43\n", + "sigma 0.31 0.16 0.12 0.59" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Vide.summary(samples_2)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "96632604", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Vide.plot_forest(samples_2)" + ] + }, + { + "cell_type": "markdown", + "id": "e1e8a2a7", + "metadata": {}, + "source": [ + "### R Code 7.8 - Pag 198" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ed397127", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_7jl6mmu9/model_w6rff3bk.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.21 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[3];\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3;\n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:3){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 1); \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_3 = stan.build(model, data=data)\n", + "samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "97a7c9fe", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_89iqtyto/model_5n3a3kju.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 10% (800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 60% (4800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[4];\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4;\n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:4){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 1); \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_4 = stan.build(model, data=data)\n", + "samples_4 = posteriori_4.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "890ea7f3", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_sc94oycl/model_3c7wjchh.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 2% (200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 16% (1300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 39% (3100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 60% (4800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 80% (6400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[5];\n", + " real sigma;\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4 +\n", + " beta[5] * body^5;\n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:5){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 1); \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_5 = stan.build(model, data=data)\n", + "samples_5 = posteriori_5.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "c0465db4", + "metadata": {}, + "source": [ + "### R Code 7.9 - Pag 199" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "b7550eaa", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_bic3rat1/model_3skjj3wc.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_bic3rat1/model_3skjj3wc.stan', line 24, column 27: Argument\n", + " 0.001 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 18% (1400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 20% (1600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 22% (1800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 28% (2200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 32% (2600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 38% (3000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 54% (4300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 71% (5700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[6];\n", + " }\n", + " \n", + " model {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4 +\n", + " beta[5] * body^5 +\n", + " beta[6] * body^6;\n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, 0.001);\n", + " \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:6){\n", + " beta[j] ~ normal(0, 10);\n", + " } \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_6 = stan.build(model, data=data)\n", + "samples_6 = posteriori_6.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "markdown", + "id": "bf93c119", + "metadata": {}, + "source": [ + "### R Code 7.10 - Pag 199" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8e7d1de4", + "metadata": {}, + "outputs": [], + "source": [ + "mass_seq = np.linspace(start=d.mass_std.min(), stop=d.mass_std.max(), num=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "6d119d6a", + "metadata": {}, + "outputs": [], + "source": [ + "pp_1 = [samples_1['alpha'].flatten() + samples_1['beta'].flatten() * mass_i for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "bd1ac7fa", + "metadata": {}, + "outputs": [], + "source": [ + "pp_2 = [samples_2['alpha'].flatten() + \n", + " samples_2['beta'][0].flatten() * mass_i + \n", + " samples_2['beta'][1].flatten() * np.power(mass_i, 2) for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "730b207a", + "metadata": {}, + "outputs": [], + "source": [ + "pp_3 = [samples_3['alpha'].flatten() + \n", + " samples_3['beta'][0].flatten() * mass_i + \n", + " samples_3['beta'][1].flatten() * np.power(mass_i, 2) + \n", + " samples_3['beta'][2].flatten() * np.power(mass_i, 3)\n", + " for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "5603d91e", + "metadata": {}, + "outputs": [], + "source": [ + "pp_4 = [samples_4['alpha'].flatten() + \n", + " samples_4['beta'][0].flatten() * mass_i + \n", + " samples_4['beta'][1].flatten() * np.power(mass_i, 2) + \n", + " samples_4['beta'][2].flatten() * np.power(mass_i, 3) +\n", + " samples_4['beta'][3].flatten() * np.power(mass_i, 4) \n", + " for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "a46ac37e", + "metadata": {}, + "outputs": [], + "source": [ + "pp_5 = [samples_5['alpha'].flatten() + \n", + " samples_5['beta'][0].flatten() * mass_i + \n", + " samples_5['beta'][1].flatten() * np.power(mass_i, 2) + \n", + " samples_5['beta'][2].flatten() * np.power(mass_i, 3) +\n", + " samples_5['beta'][3].flatten() * np.power(mass_i, 4) + \n", + " samples_5['beta'][4].flatten() * np.power(mass_i, 5) \n", + " for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "9eab8d99", + "metadata": {}, + "outputs": [], + "source": [ + "pp_6 = [samples_6['alpha'].flatten() + \n", + " samples_6['beta'][0].flatten() * mass_i + \n", + " samples_6['beta'][1].flatten() * np.power(mass_i, 2) + \n", + " samples_6['beta'][2].flatten() * np.power(mass_i, 3) +\n", + " samples_6['beta'][3].flatten() * np.power(mass_i, 4) + \n", + " samples_6['beta'][4].flatten() * np.power(mass_i, 5) + \n", + " samples_6['beta'][5].flatten() * np.power(mass_i, 6) \n", + " for mass_i in mass_seq]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "97da481b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(18, 20))\n", + "\n", + "gs = GridSpec(nrows=3, ncols=2)\n", + "\n", + "ax1 = fig.add_subplot(gs[0, 0])\n", + "ax1.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax1.plot(mass_seq, pp_1, c='blue', lw=0.01)\n", + "ax1.set_ylim(0, 1.1)\n", + "ax1.set_title('$R^2: 0.51$')\n", + "ax1.set_xlabel('Body mass (KG)')\n", + "ax1.set_ylabel('Brain Volume (cc)')\n", + "\n", + "ax2 = fig.add_subplot(gs[0, 1])\n", + "ax2.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax2.plot(mass_seq, pp_2, c='blue', lw=0.01)\n", + "ax2.set_ylim(0, 1.1)\n", + "ax2.set_title('$R^2: 0.54$')\n", + "ax2.set_xlabel('Body mass (KG)')\n", + "ax2.set_ylabel('Brain Volume (cc)')\n", + "\n", + "ax3 = fig.add_subplot(gs[1, 0])\n", + "ax3.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax3.plot(mass_seq, pp_3, c='blue', lw=0.01)\n", + "ax3.set_ylim(0, 1.1)\n", + "ax3.set_title('$R^2: 0.69$')\n", + "ax3.set_xlabel('Body mass (KG)')\n", + "ax3.set_ylabel('Brain Volume (cc)')\n", + "\n", + "ax4 = fig.add_subplot(gs[1, 1])\n", + "ax4.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax4.plot(mass_seq, pp_4, c='blue', lw=0.01)\n", + "ax4.set_ylim(0, 1.1)\n", + "ax4.set_title('$R^2: 0.82$')\n", + "ax4.set_xlabel('Body mass (KG)')\n", + "ax4.set_ylabel('Brain Volume (cc)')\n", + "\n", + "ax5 = fig.add_subplot(gs[2, 0])\n", + "ax5.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax5.plot(mass_seq, pp_5, c='blue', lw=0.01)\n", + "ax5.set_ylim(0, 1.1)\n", + "ax5.set_title('$R^2: 0.99$')\n", + "ax5.set_xlabel('Body mass (KG)')\n", + "ax5.set_ylabel('Brain Volume (cc)')\n", + "\n", + "ax6 = fig.add_subplot(gs[2, 1])\n", + "ax6.scatter(d.mass_std.values, d.brain_std.values, c='black')\n", + "ax6.plot(mass_seq, pp_6, c='blue', lw=0.01)\n", + "ax6.set_ylim(0, 1.1)\n", + "ax6.set_title('$R^2: 1$')\n", + "ax6.set_xlabel('Body mass (KG)')\n", + "ax6.set_ylabel('Brain Volume (cc)')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b33e8c2e", + "metadata": {}, + "source": [ + "### R Code 7.11 - Pag 201" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "afc62448", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0.324444\n", + "1 0.334815\n", + "2 0.453333\n", + "3 0.385926\n", + "4 0.557037\n", + "5 0.645185\n", + "6 1.000000\n", + "Name: brain_std, dtype: float64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.brain_std" + ] + }, + { + "cell_type": "markdown", + "id": "05a5390d", + "metadata": {}, + "source": [ + "Deletando a linha $i=3$ do dataframe:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "4b5e6864", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0.324444\n", + "1 0.334815\n", + "2 0.453333\n", + "4 0.557037\n", + "5 0.645185\n", + "6 1.000000\n", + "Name: brain_std, dtype: float64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d_deleted_line_3 = d.brain_std.drop(3)\n", + "d_deleted_line_3" + ] + }, + { + "cell_type": "markdown", + "id": "f54627fe", + "metadata": {}, + "source": [ + "### R Code 7.12 - Pag 206" + ] + }, + { + "cell_type": "markdown", + "id": "fea96f1f", + "metadata": {}, + "source": [ + "**Entropia da informação**: *A incerteza contida na distribuição de probabilidade* é a média do $log$ da probabilidade do evento." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "e17d37af", + "metadata": {}, + "outputs": [], + "source": [ + "def H(p):\n", + " \"\"\"Information Entropy\n", + " H(p):= -sum(p_i * log(pi))\n", + " \"\"\"\n", + " if not np.sum(p) == 1:\n", + " print('ProbabilityError: This is not probability, its sum not equal to 1.')\n", + " else:\n", + " return - np.sum([p_i * np.log(p_i) if p_i > 0 else 0 for p_i in p])" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "7169c75f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6108643020548935" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p = (0.3, 0.7) # (p_rain, p_sum)\n", + "\n", + "H(p)" + ] + }, + { + "cell_type": "markdown", + "id": "fc66cfb3", + "metadata": {}, + "source": [ + "A incerteza do clima de *Abu Dhabi* é menor, pois é pouco provável que chova." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "1c2d86f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.056001534354847345" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_AbuDhabi = (0.01, 0.99) # (p_rain, p_sum)\n", + "\n", + "H(p_AbuDhabi)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "50ae1e52", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.818808456222877" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p_3dim = (0.7, 0.15, 0.15) # (p_1, p_2, p_3)\n", + "\n", + "H(p_3dim)" + ] + }, + { + "cell_type": "markdown", + "id": "f0e975e0", + "metadata": {}, + "source": [ + "### R Code 7.13 - pag 210" + ] + }, + { + "cell_type": "markdown", + "id": "ae949555", + "metadata": {}, + "source": [ + "References: \n", + "\n", + "- https://stackoverflow.com/questions/49147905/how-to-extract-posterior-samples-of-log-likelihood-from-pystan\n", + "\n", + "- https://mc-stan.org/docs/2_20/functions-reference/normal-distribution.html" + ] + }, + { + "cell_type": "markdown", + "id": "cbc96178", + "metadata": {}, + "source": [ + "**Obs**:\n", + "\n", + "Here I learned to use the two blocks in stan: *transformed parameters* and *generated quantities*.\n", + "\n", + "To calculate the **Deviance** it is necessary to make these changes. \n", + "\n", + "That's why I did all 6 estimates again with the calculations needed." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "ece392d7", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 8e-06 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.08 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " mu = alpha + beta * body;\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " beta ~ normal(0, 10);\n", + " sigma ~ lognormal(0, 1); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] brain_hat;\n", + " \n", + " for (i in 1:N){\n", + " log_lik[i] = normal_lpdf(brain[i] | mu[i], sigma);\n", + " brain_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_1 = stan.build(model, data=data)\n", + "samples_1 = posteriori_1.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "fb2d814e", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_r8ixtt9p/model_szw6dlh7.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.24 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[2];\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters{\n", + " vector[N] mu;\n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2;\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:2){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 10); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_2 = stan.build(model, data=data)\n", + "samples_2 = posteriori_2.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "052d9762", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_1ipahraa/model_a6y4smla.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[3];\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3;\n", + " }\n", + " \n", + " model { \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:3){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 10); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_3 = stan.build(model, data=data)\n", + "samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "c31ba65b", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_y03vqbot/model_5q3b5yyn.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 34% (2700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 59% (4700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 84% (6700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[4];\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4;\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:4){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 10); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma); \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_4 = stan.build(model, data=data)\n", + "samples_4 = posteriori_4.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "f8bbacac", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_23fy4d7r/model_4rwldby2.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 1% (100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 9% (700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 12% (1000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 44% (3500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 64% (5100/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 85% (6800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[5];\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4 +\n", + " beta[5] * body^5;\n", + " }\n", + " \n", + " model { \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:5){\n", + " beta[j] ~ normal(0, 10);\n", + " }\n", + " sigma ~ lognormal(0, 10); \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] brain_hat;\n", + " \n", + " for (i in 1:N){\n", + " log_lik[i] = normal_lpdf(brain[i] | mu[i], sigma);\n", + " brain_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " \n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_5 = stan.build(model, data=data)\n", + "samples_5 = posteriori_5.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "733b2e98", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_17n24ee8/model_exxiy3jy.stan', line 10, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan_17n24ee8/model_exxiy3jy.stan', line 32, column 27: Argument\n", + " 0.001 suggests there may be parameters that are not unit scale; consider\n", + " rescaling with a multiplier (see manual section 22.12).\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 4% (300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 6% (500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 11% (900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 16% (1300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 19% (1500/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 21% (1700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 24% (1900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 28% (2200/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 30% (2400/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 32% (2600/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 35% (2800/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 38% (3000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 54% (4300/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 71% (5700/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 86% (6900/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 2e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.2 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] brain;\n", + " vector[N] body;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta[6];\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta[1] * body + \n", + " beta[2] * body^2 +\n", + " beta[3] * body^3 +\n", + " beta[4] * body^4 +\n", + " beta[5] * body^5 +\n", + " beta[6] * body^6;\n", + " }\n", + " \n", + " model { \n", + " // Prioris\n", + " alpha ~ normal(0.5, 1);\n", + " for (j in 1:6){\n", + " beta[j] ~ normal(0, 10);\n", + " } \n", + " \n", + " // Likelihood\n", + " brain ~ normal(mu, 0.001);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_ll_y;\n", + " \n", + " for (i in 1:N){\n", + " log_ll_y[i] = normal_lpdf(brain[i] | mu, 0.001);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(d.brain_std),\n", + " 'brain': d.brain_std.values,\n", + " 'body': d.mass_std.values,\n", + "}\n", + "\n", + "posteriori_6 = stan.build(model, data=data)\n", + "samples_6 = posteriori_6.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "9d7ab29f", + "metadata": {}, + "outputs": [], + "source": [ + "def lppd(samples, outcome, std_residuals=True):\n", + " \"\"\" Calculate the LOG-POINTWISE-PREDICTIVE-DENSITY\n", + " \n", + " samples : stan\n", + " Sampler results of fit posteriori. \n", + " Need 'mu' already computed.\n", + " \n", + " outcome : list\n", + " List with outcomes the original data.\n", + " \n", + " std_residuals : booleans\n", + " Compute lppd using std of the residuals \n", + " \"\"\"\n", + " mu = samples['mu']\n", + " N = len(outcome)\n", + " K = np.shape(mu)[1] # Qty samples (mu) sampled from posteriori\n", + "\n", + " outcome = outcome.reshape(-1, 1)\n", + "\n", + " if std_residuals:\n", + " sigma = (np.sum((mu - outcome)**2, 0) / N)**0.5 \n", + " else:\n", + " sigma = samples['sigma'].flatten()\n", + " \n", + " lppd = np.empty(N, dtype=float)\n", + " \n", + " for i in range(N):\n", + " log_posteriori_predictive = stats.norm.logpdf(outcome[i], mu[i], sigma)\n", + "\n", + " lppd[i] = np.log(np.sum(np.exp(log_posteriori_predictive))) - np.log(K)\n", + " \n", + " return lppd " + ] + }, + { + "cell_type": "markdown", + "id": "9b6cf201", + "metadata": {}, + "source": [ + "### R Code 7.15" + ] + }, + { + "cell_type": "markdown", + "id": "9ad6dfa5", + "metadata": {}, + "source": [ + "Like the book and the [this](https://github.com/pymc-devs/pymc-resources/blob/main/Rethinking_2/Chp_07.ipynb) one the values here have slight differeces. \n", + "\n", + "*Need review calculations - pag 211 - 2ed*" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "b68450d8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1.9566327201814353,\n", + " 1.941588551424057,\n", + " 2.14378226869432,\n", + " 2.754228507821768,\n", + " 5.480033073131333,\n", + " 40.03033955975213]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lppd_lm = []\n", + "\n", + "lppd_lm.append(np.sum(lppd(samples_1, d.brain_std.values, std_residuals=True)))\n", + "lppd_lm.append(np.sum(lppd(samples_2, d.brain_std.values, std_residuals=True)))\n", + "lppd_lm.append(np.sum(lppd(samples_3, d.brain_std.values, std_residuals=True)))\n", + "lppd_lm.append(np.sum(lppd(samples_4, d.brain_std.values, std_residuals=True)))\n", + "lppd_lm.append(np.sum(lppd(samples_5, d.brain_std.values, std_residuals=True)))\n", + "lppd_lm.append(np.sum(lppd(samples_6, d.brain_std.values, std_residuals=True)))\n", + "\n", + "lppd_lm" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "75fe263d", + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "b08ed219", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0

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+       "Dimensions:          (chain: 4, draw: 1000)\n",
+       "Coordinates:\n",
+       "  * chain            (chain) int64 0 1 2 3\n",
+       "  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999\n",
+       "Data variables:\n",
+       "    acceptance_rate  (chain, draw) float64 0.9942 0.9932 1.0 ... 0.7437 0.6009\n",
+       "    step_size        (chain, draw) float64 0.02283 0.02283 ... 0.01823 0.01823\n",
+       "    tree_depth       (chain, draw) int64 6 7 5 4 8 6 5 4 5 ... 5 6 7 7 5 7 8 7 7\n",
+       "    n_steps          (chain, draw) int64 63 159 31 31 255 ... 47 127 255 255 191\n",
+       "    diverging        (chain, draw) bool False False False ... False False False\n",
+       "    energy           (chain, draw) float64 2.459 5.23 0.8842 ... -7.189 -5.73\n",
+       "    lp               (chain, draw) float64 -1.21 0.03107 2.038 ... 10.68 9.605\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:53:39.807300\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0

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You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "aa = az.loo(samples_5, pointwise=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "bf98a0df", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_elpd({'samples_1':samples_1, 'samples_5': samples_5}, xlabels=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "c87d9b9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.50019162, 0.61303674, 0.6133973 , 0.44845226, 0.79786415,\n", + " 2.0166922 , 7.29542366])" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "aaa = data.posterior_predictive.brain_hat[0].values\n", + "np.log(np.sum(np.exp(aaa.T), 1)) - np.log(1000)" + ] + }, + { + "cell_type": "markdown", + "id": "fd3a46c5", + "metadata": {}, + "source": [ + "### R Code 7.16\n", + "\n", + "Just using Rethinking Packages - pag 213" + ] + }, + { + "cell_type": "markdown", + "id": "77d4fdcb", + "metadata": {}, + "source": [ + "### R Code 7.17\n", + "\n", + "Just using Rethinking Packages - Pag 213" + ] + }, + { + "cell_type": "markdown", + "id": "e985fe82", + "metadata": {}, + "source": [ + "### R Code 7.18\n", + "\n", + "Just using Rethinking Packages - pag 214" + ] + }, + { + "cell_type": "markdown", + "id": "775da89d", + "metadata": {}, + "source": [ + "-------" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_8.ipynb b/_sources/parte_8.ipynb new file mode 100644 index 0000000..e45c199 --- /dev/null +++ b/_sources/parte_8.ipynb @@ -0,0 +1,22787 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2ff597aa", + "metadata": {}, + "source": [ + "# 8 - Os peixes-bois condicionais" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "204f83ef", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8a824bad", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c98a39a3", + "metadata": {}, + "outputs": [], + "source": [ + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9d769e77", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "5fcc96c9", + "metadata": {}, + "source": [ + "### R Code 8.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fadc80f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " isocode isonum country rugged rugged_popw rugged_slope rugged_lsd \\\n", + "0 ABW 533 Aruba 0.462 0.380 1.226 0.144 \n", + "1 AFG 4 Afghanistan 2.518 1.469 7.414 0.720 \n", + "2 AGO 24 Angola 0.858 0.714 2.274 0.228 \n", + "3 AIA 660 Anguilla 0.013 0.010 0.026 0.006 \n", + "4 ALB 8 Albania 3.427 1.597 10.451 1.006 \n", + "\n", + " rugged_pc land_area lat ... africa_region_w africa_region_e \\\n", + "0 0.000 18.0 12.508 ... 0 0 \n", + "1 39.004 65209.0 33.833 ... 0 0 \n", + "2 4.906 124670.0 -12.299 ... 0 0 \n", + "3 0.000 9.0 18.231 ... 0 0 \n", + "4 62.133 2740.0 41.143 ... 0 0 \n", + "\n", + " africa_region_c slave_exports dist_slavemkt_atlantic \\\n", + "0 0 0.0 NaN \n", + "1 0 0.0 NaN \n", + "2 1 3610000.0 5.669 \n", + "3 0 0.0 NaN \n", + "4 0 0.0 NaN \n", + "\n", + " dist_slavemkt_indian dist_slavemkt_saharan dist_slavemkt_redsea \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 6.981 4.926 3.872 \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "\n", + " pop_1400 european_descent \n", + "0 614.0 NaN \n", + "1 1870829.0 0.0 \n", + "2 1223208.0 2.0 \n", + "3 NaN NaN \n", + "4 200000.0 100.0 \n", + "\n", + "[5 rows x 51 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/rugged.csv', sep=';')\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "259a322e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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rgdppc_2000log_gdp
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170 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " log_gdp_std rugged_std\n", + "2 0.879712 0.138342\n", + "4 0.964755 0.552564\n", + "7 1.166270 0.123992\n", + "8 1.104485 0.124960\n", + "9 0.914904 0.433409\n", + ".. ... ...\n", + "229 0.996681 0.270397\n", + "230 0.783032 0.374557\n", + "231 1.074365 0.283941\n", + "232 0.780967 0.085940\n", + "233 0.918589 0.192519\n", + "\n", + "[170 rows x 2 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ddf = df[~np.isnan(df['log_gdp'].values)].copy()\n", + "\n", + "ddf['log_gdp_std'] = ddf['log_gdp'] / np.mean(ddf['log_gdp'])\n", + "ddf['rugged_std'] = ddf['rugged'] / np.max(ddf['rugged'])\n", + "\n", + "ddf[['log_gdp_std', 'rugged_std']]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "91aac337", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "plt.hist(ddf['log_gdp_std'], density=True, rwidth=0.9)\n", + "plt.title('log_gdp \\n 1: mean; \\n 0.8: 80% of the average \\n 1.1: 10% more than average')\n", + "plt.axvline(x=1, c='r', ls='--')\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(17, 8))\n", + "plt.hist(ddf['rugged_std'], density=True, rwidth=0.9)\n", + "plt.title('Rugged \\n min:0 and max:1')\n", + "plt.axvline(x=np.mean(ddf['rugged_std']), c='r', ls='--')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c4c7baf5", + "metadata": {}, + "source": [ + "### R Code 8.2" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "01ab89de", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 5.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.56 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_qk2y2370/model_ujreyjxj.stan', line 29, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 6.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 7.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] log_gdp_std;\n", + " vector[N] rugged_std;\n", + " real rugged_std_average;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta * (rugged_std - rugged_std_average);\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " \n", + " alpha ~ normal(1, 1);\n", + " beta ~ normal(0, 1);\n", + " sigma ~ exponential(1);\n", + " \n", + " // Likelihood\n", + " log_gdp_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik; // By default, if a variable log_lik is present in the Stan model, it will be retrieved as pointwise log likelihood values.\n", + " vector[N] log_gdp_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);\n", + " log_gdp_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(ddf),\n", + " 'log_gdp_std': ddf['log_gdp_std'].values,\n", + " 'rugged_std': ddf['rugged_std'].values,\n", + " 'rugged_std_average': ddf['rugged_std'].mean(),\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e9bd4387", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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parameterslp__accept_stat__stepsize__treedepth__n_leapfrog__divergent__energy__alphabetasigma...log_gdp_std_hat.161log_gdp_std_hat.162log_gdp_std_hat.163log_gdp_std_hat.164log_gdp_std_hat.165log_gdp_std_hat.166log_gdp_std_hat.167log_gdp_std_hat.168log_gdp_std_hat.169log_gdp_std_hat.170
draws
0250.2238481.0000000.7835072.03.00.0-248.5613151.0047320.0821700.137878...1.1189761.1195650.7400721.1428181.0634780.8145521.0654240.9264261.0537911.037406
1250.0980321.0000000.8207533.07.00.0-249.6042980.997929-0.0545810.128852...1.1913711.0009390.8968990.9417240.9669141.0545250.8131200.7288591.2094151.016214
2250.4070731.0000000.7015912.03.00.0-248.1700581.0119670.0131750.143171...1.1645941.1380251.0671040.9116220.8652651.1246570.9312470.9053521.0122281.088270
3249.8599620.8687790.7731592.03.00.0-249.7769340.9906360.0117010.148956...1.0261181.0701481.0965560.9298820.9623940.9766400.9398650.7844100.8619571.069466
4250.2380490.9555520.7835073.07.00.0-248.9959410.999829-0.0811760.138578...1.0197601.2681630.7707060.9234560.9369881.1473740.6668950.8674481.2432161.132200
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" + ], + "text/plain": [ + "parameters lp__ accept_stat__ stepsize__ treedepth__ n_leapfrog__ \\\n", + "draws \n", + "0 250.223848 1.000000 0.783507 2.0 3.0 \n", + "1 250.098032 1.000000 0.820753 3.0 7.0 \n", + "2 250.407073 1.000000 0.701591 2.0 3.0 \n", + "3 249.859962 0.868779 0.773159 2.0 3.0 \n", + "4 250.238049 0.955552 0.783507 3.0 7.0 \n", + "\n", + "parameters divergent__ energy__ alpha beta sigma ... \\\n", + "draws ... \n", + "0 0.0 -248.561315 1.004732 0.082170 0.137878 ... \n", + "1 0.0 -249.604298 0.997929 -0.054581 0.128852 ... \n", + "2 0.0 -248.170058 1.011967 0.013175 0.143171 ... \n", + "3 0.0 -249.776934 0.990636 0.011701 0.148956 ... \n", + "4 0.0 -248.995941 0.999829 -0.081176 0.138578 ... \n", + "\n", + "parameters log_gdp_std_hat.161 log_gdp_std_hat.162 log_gdp_std_hat.163 \\\n", + "draws \n", + "0 1.118976 1.119565 0.740072 \n", + "1 1.191371 1.000939 0.896899 \n", + "2 1.164594 1.138025 1.067104 \n", + "3 1.026118 1.070148 1.096556 \n", + "4 1.019760 1.268163 0.770706 \n", + "\n", + "parameters log_gdp_std_hat.164 log_gdp_std_hat.165 log_gdp_std_hat.166 \\\n", + "draws \n", + "0 1.142818 1.063478 0.814552 \n", + "1 0.941724 0.966914 1.054525 \n", + "2 0.911622 0.865265 1.124657 \n", + "3 0.929882 0.962394 0.976640 \n", + "4 0.923456 0.936988 1.147374 \n", + "\n", + "parameters log_gdp_std_hat.167 log_gdp_std_hat.168 log_gdp_std_hat.169 \\\n", + "draws \n", + "0 1.065424 0.926426 1.053791 \n", + "1 0.813120 0.728859 1.209415 \n", + "2 0.931247 0.905352 1.012228 \n", + "3 0.939865 0.784410 0.861957 \n", + "4 0.666895 0.867448 1.243216 \n", + "\n", + "parameters log_gdp_std_hat.170 \n", + "draws \n", + "0 1.037406 \n", + "1 1.016214 \n", + "2 1.088270 \n", + "3 1.069466 \n", + "4 1.132200 \n", + "\n", + "[5 rows x 520 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Transform to dataframe pandas\n", + "df_samples = samples.to_frame()\n", + "df_samples.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ee7f8791", + "metadata": {}, + "outputs": [], + "source": [ + "# stan_fit to arviz_stan\n", + "\n", + "stan_data = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_predictive=\"log_gdp_std_hat\",\n", + " observed_data=['log_gdp_std'],\n", + " prior=samples,\n", + " prior_model=posteriori,\n", + " posterior_model=posteriori,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "2ad3f01e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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arviz.InferenceData
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+       "Coordinates:\n",
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+       "Data variables:\n",
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+       "    mu        (chain, draw, mu_dim_0) float64 0.9984 1.032 0.9973 ... 0.9904 1.0\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:20.275185\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0\n",
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+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
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+       "    save_warmup:                0\n",
+       "    model_name:                 models/ujreyjxj\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
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+       "Data variables:\n",
+       "    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 1.064...\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:20.443669\n",
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+       "    created_at:                 2023-08-11T18:56:20.382809\n",
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+       "    acceptance_rate  (chain, draw) float64 1.0 0.9556 0.9863 ... 0.8224 0.8556\n",
+       "    step_size        (chain, draw) float64 0.7835 0.7835 ... 0.7732 0.7732\n",
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+       "    created_at:                 2023-08-11T18:56:20.326585\n",
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+       "    num_thin:                   1\n",
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+       "    save_warmup:                0\n",
+       "    model_name:                 models/ujreyjxj\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "Coordinates:\n",
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+       "  * log_lik_dim_0          (log_lik_dim_0) int64 0 1 2 3 4 ... 166 167 168 169\n",
+       "  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169\n",
+       "Data variables:\n",
+       "    alpha                  (chain, draw) float64 1.005 0.9998 ... 0.9894 1.002\n",
+       "    beta                   (chain, draw) float64 0.08217 -0.08118 ... 0.09237\n",
+       "    sigma                  (chain, draw) float64 0.1379 0.1386 ... 0.1545 0.129\n",
+       "    mu                     (chain, draw, mu_dim_0) float64 0.9984 1.032 ... 1.0\n",
+       "    log_lik                (chain, draw, log_lik_dim_0) float64 0.6917 ... 0....\n",
+       "    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 1.064...\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:20.500663\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0\n",
+       "    model_name:                 models/ujreyjxj\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "Data variables:\n",
+       "    lp               (chain, draw) float64 250.2 250.2 249.9 ... 247.4 249.2\n",
+       "    acceptance_rate  (chain, draw) float64 1.0 0.9556 0.9863 ... 0.8224 0.8556\n",
+       "    step_size        (chain, draw) float64 0.7835 0.7835 ... 0.7732 0.7732\n",
+       "    tree_depth       (chain, draw) int64 2 3 2 2 2 2 3 2 2 ... 1 2 2 2 2 2 2 2 3\n",
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+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:20.652569\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0\n",
+       "    model_name:                 models/ujreyjxj\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "Dimensions:            (log_gdp_std_dim_0: 170)\n",
+       "Coordinates:\n",
+       "  * log_gdp_std_dim_0  (log_gdp_std_dim_0) int64 0 1 2 3 4 ... 166 167 168 169\n",
+       "Data variables:\n",
+       "    log_gdp_std        (log_gdp_std_dim_0) float64 0.8797 0.9648 ... 0.9186\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:20.241424\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0

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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha1.0000.0110.9771.0180.0000.0004235.02967.01.0
beta0.0040.056-0.1010.1060.0010.0013764.03240.01.0
sigma0.1380.0080.1250.1520.0000.0003197.02737.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 1.000 0.011 0.977 1.018 0.000 0.000 4235.0 2967.0 \n", + "beta 0.004 0.056 -0.101 0.106 0.001 0.001 3764.0 3240.0 \n", + "sigma 0.138 0.008 0.125 0.152 0.000 0.000 3197.0 2737.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 \n", + "beta 1.0 \n", + "sigma 1.0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_data, var_names=['alpha', 'beta', 'sigma'])" + ] + }, + { + "cell_type": "markdown", + "id": "faa64444", + "metadata": {}, + "source": [ + "### R Code 8.3" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "48e2f589", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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j4KJTA9YmXbp02SLLcu/KfqYU6HXEt9+Gs2RJLB9/fKTWunaNkfXrg3n88WZ07WrnjTeOVVjIlSclxcCYMc1xuSReeimVtm0dbNsmiqFt20zs36/H65WQJJnWrZ1otT4OHNCj1co88kguw4fnK/Kacni9sH27kTVrQlizJoTDh/WBn0VFuXnggVzuvLPggtpx9vngo4+iWLIkDodDnDFkWcipBw0SnfVLL7We8X3i84mF9PbtxkCH/NgxHSC6De3alXXHu3e3ER/vVk5QZ0Fenobnn09k9epQevWyMnNmWrWVGw6HxJIlsXz4YTQxMR6efTad/v1L6vgeK/jVN6tWhfLHHyFYLGp0Oh+XX17CoEEWiopULFyYwL335vLUU9l1dj9KSlS8/XYMH38chUYD99+fS3CwlyVL4rDbVdxzTx6PPJJbQXJ8PvF64fhxXWkhrmf3bgP79hlwOETRExzspWNHO506ia+OHe00aVLxOJKfr2bLFhObN4uvgwfFMVynEwV7r16iYO/a1X5eu1eZmaIw/+67CCRJ5vbbC3nggdwLaqO8sFDNa6/F8tVXkYSFeXn88WxuvbWwWufLXbsMLFsWyc8/h+F0qujRw8oddxTwj3+YUalkvv46kiVLYiko0HD99UVcf30R27cbWbEilEOHxGvcoYM9UJS3bu087+cXWRafscqKefH/isW8zVb5ExMS4q1QyFdW0PuLeaPxzGNfNpvErFmJ/PBDBJdeWsLcuWkX1IZQQ+fnn0OZPr0JwcFeFiw4QffuDVul1BhQCvR6wmaTMBob1/NbF/z8cygTJjTlyitLWLz4OFpt5dfLzNTyxBPNOHBAz7hxWQwfnh84YNtsKnbsMASK9u3bjVitZScFo9HLddcVcdtthbRr52gwMqzzSUmJX7oewh9/hFBUpEGjkenVy0pysoUrr7SwfbuR116LJSsriCuusPDkk9m0b+848x9v4Bw6pGPmzES2bjXRo4eVadMyiItz88cfIaxYEcq6dcHY7WqCg730729h8GAz/fuXYDL5sFhU7NxpZPt20SHfudOIxSLeWxERngrd8c6d7VVuMinUHFmG778P58UXE/B64emns7jttsLTLtS2bTMyfXoSx47puO22AsaNyyIkROman2/cbtiyxcTq1UIKn5ERBMiEhPi4//5cBg8206qVq1Zv0+uF776L4JVX4igo0HDjjYWMGZMdKA7z89UsWhTPd99FEB/vYsKELK66ylynBY4si86nvyu+e7eBvXv1gaLFYPDSoYMjUIx36mSnWTNXjTuhhYVqtm41Bgr2/fv1yLJEUJCPrl3tgQ57t2429PraP0ZlZWl5++1ovvkmAkmCf/+7kAcfzL2gGhAeDyxfHsnrr8dhs6n4v//L55FHcs5KlVNcrOa778L54otITpzQERHh4ZZbCrn11gJOnAji9dfj2LXLgBhnkOnRw8Y//mFm8GAziYkNd8SsMux2KVDEn6mYLy6ufHGm1/tOKeLLf2+3q3jrrRjS0oIUSft5xuOBxYvj+OCDGLp3t7JgQaqyMVJLKAV6PWC3S+zebaB3b2VOGuDLLyOYMSOJf/6ziLlz06pcnNhsElOnNuG338K46aZCpk/PqFQm5fXCwYN6tm0z8uuvoWzbZsLrFaswvd5Ht25CFt+zp42uXW2NUr5dHdLStKxZE8Lq1aFs3mzE41ERGuqhf/8SkpPNXHFFySnFi9Mp8fnnkbz9dgwWi5rrry/m8cezSUpqXIsCEJ+zN98UnVSTycu4cdncfHPhKe8vp1Ni40YTv/8u5taLizWoVDJ6vQ+bTQUIdcYllzgCnfHu3W00bepSuuPngcxMLdOmJbFxYzBXXGHh+efTiYuruACw2SRefTWOTz+NIjHRzXPPpXPZZYq0sSGQmqpl6NDWqNUycXEe9u83ANWfW68OmzaZePHFePbvN9C9u5WJE7Po3LnyDs62bUZeeCGBAwcMXHGFhcmTM2ne/Nw3C2QZMjK0FYrxPXsMgQ09nc5Hu3ZlxXjnznZatHDWSSFRXKxi2zZ/h93I3r0GfD4JjcZHly5lBXv37rZzahRkZWl4550YvvkmAlkWhfnIkXkXnOntX3+ZePHFBA4d0nPZZSVMnJhJmzbnPirh88G6dcG89VYM27cbSy+VUKt99OxpxeVSsX27ichID48+msOttxZU2cS4EHC7qz83X1h4LnPzojPfkObmGyOFhWqefropGzcGM3RoPhMnZilq1VpEKdDrgaVLY1iyJI7hw/MYMya7QcyM1TfvvBPN4sXxDB2az5QpmVUWPj4fLF0ayxtvxNK9u5WFC09UMJmrDLdbYunSGD78MBqPRyIiwhM4uKtUMm3bOgJz7D162EhIaJyLC69XzN2uXh3KmjUhAUlcy5YOBg4U8+Tdu9uqdUIqLlbx3nsxfPppFD4fDBtWwEMP5RIefvrnuqGwdm0ws2cnkp4exE03FTJuXBaRkRXvuzAkNASM3LZvN1JYKJ4crdaHSgVOpwqQ6dLFxtVXWxgyxEyzZrXb+VM4Mz6f6F4tWBCPVivzzDMZXH99MZIEmzYZmT69CWlpQQwbls/Ysdn1Jl9WqIjVquLuu1uRk6Phs8+O0Ly5i6wsbWlnvWxuPSJCzK0PGnTq3PrpSE0N4uWX41ixIoyEBBfjxmVxzTVn7op7PLBsWRSvvRaLyyVx3315PPhgbrVvV5YhJ0dToRjfvdtAUZHfxdtH27ZOOne20amTKMpbtXLUW3FlsajYtk102LdsMbF7twGvV0KjkenYURTsffpY6dHDVi1PnJwcDe++G8OXX0YgyxI331zIyJG5ja67eybS0rS8/HI8v/8eRlKSi6efzmTw4DObuJ0Jq1XFH38Es2KFGAexWtUYDF4SE93k5GixWNQkJbm47bYCOna08/bbsWzebKJlSwfjxmUzcOC534fGTkmJimefTeTXX8Np397ObbcV4HKpan1u3i+zr8u5+cbI7t16xo5tRn6+hmnTMrj55qL6vksXHEqBXg/Y7RIvvxzP8uVRtG1rZ+7cNC65pOEZ15xPZBkWLozj/fdjeOihHEaPzjnt9X/5JZSpU5sQEeHh1VdP0K7dmaXYOTkaFi2K4z//iSAmxs1NNxWi0YiOyo4dBux20cqIj3fRo0eZ+Vzbto4GK5eyWlVs2BDM6tVCuu6PnOvVy8rAgRaSky3nVFBmZWlZsiSW778Px2j08cADudx1V36DlXJnZWl46aUEfvstjJYtHUyblkGfPjZkWXRi/SMQKSlGDhzQB2JpWrRwls6Oi9e9VSsx23fwoI4VK0IDjtUgzKb8brkdOzou+oXS+eT48SCmTGnC9u1GkpPNhIV5+P77SJo2dfL88+n06aOokhoKPh88+WQz1q4NYenSY5WaNZ1pbn3AAHOlG7AlJULS+sknUWg0Mg8+mMfw4Xk1lm/n5mp4+eV4fvwxnKQkF5MmZZKcfKppZF6euoKB2+7dBvLyRLWtVsu0aVNRpn7JJc4GvZi32VSkpBjZtEl02HftMuDxqFCrZTp08HfYbfToYa1g4Jqbq+G996L58stIvF6Jm24ShXljVFidDptN4t13Y/jgg2jUahg5Mpfhw/POaZ6/oEDN6tWhrFgRwl9/BeNyCUNF4YFi5rLLrAQFybjdsHJlKF98Ecnffwej1fq46ioz7do5+O67CI4d09GnTwlPPZV1ipHcxcLBgzqeeqopx44Jl/aHHz69pL383PyZZPYFBZoKI5LlCQnxVimzP5u5+cbK998L8+bISA+LFp24aN+HdY1SoNcja9cGM21aE0pKVIwdm82dd56dW/GFgizDc88l8s03kTz9dCbDh+ef9vp79ugZPbo5FouaOXNSGTKkem7cKSkGZs9OZO9eA716WZk8OYPWrZ0cOCBk8du2mdi2zUhOjliAmUzCQb5HD2vAAKw+O3Tp6aIDtXZtCJs2mXC7hXT9yitLSE62cMUVlipd8c+Wgwd1vPJKHKtXhxIb62bUqBxuvLGwwcjD/B2xV1+NxeuVePDBXHr3LmH37rLuuP/1NBiE+7+YHRdRZ9VRBmRkaFm1SjjCb9kixibi4twMHiwWWL16WS9o+WFDweuFGTMS+eabCAAGDrQwb15qg900ulh55ZVY3n47lkmTMrjrroIzXt8/t75qlXCFz8wMQpJkuna1M2iQmUGDzDRv7uLbbyN49VUxZ37TTYU88UT2OZuQbdpkYtasBA4f1tOvn4XrrisiJycoYOKWlSVc0yVJplUrZ4VivF07R53MdZ9P7HaJ7dv9BbuJnTsNuN0qJEmmfXsHHTvayMvT8uefwXi9EjfeWMTIkTkNOnLzbJBl+OmnMBYsiCc7W8t114k0mLOdpc/I0LJihYhD27bNiM8nkZjoCpi8de9++tGOw4d1fPFFJD/8EE5JiZpLLrHTpo2TP/8MpqhIw7/+VcgTT+RccCMFVSHL8O23EcyZk4DJ5OXFF9Po27f2R5nOx9x8VFRZsR8a6m0Ua3+3W+Kll+JZtiyKvn1LeOml1FOUiQq1h1Kg1zP5+WqmT09i7dpQrrjCwsyZ6Re1wYIwg2rKb7+FMXNm2hllM7m5Gp58shk7dhgZNSqbhx/OrdaupdcL33wjDIXMZjV33FHA44/nEBYmDjb+jqso2MXXwYPCeEetFrJ4IYkXssCTZ2JrE790fc2aUFavLpOut2jhLJWum+nRo3rS9XNl82YjCxfGs2OHkdatHYwZk01ycv3K7XbuNDB9ehKHDulJSnIREuLl8GFdQNKWlOSq0B2/5JJzNwosKlKzZo0o1jdsCMbhEJskAwdaGDzYQr9+FsUEsg6wWFS8/HI8X38dSWKiC61W5vhxHf/6VyGTJmXW+saUwtnx009hTJjQlFtvLeDZZzNqfHyoLG8dxOiJ262ibVs7zz2XTpcu59a5sVhU7N0rOuI7dxr4+29ThQV3s2ZOOncuK8Y7dHBcFOMTDofEzp1G1q418dNP4aU57OJFbN7cyRVXlNC7t5VevawXzAJ9714Rm7Z1q4kOHexMnpxJjx41U+TIsiiq/UV5edWVvyhv377mqiubTcWPP4bxxReR7NsnotqaN3dx6JAOlQqGD8/j/vvzLlg/HRDPwcyZifz3v+H07Stc2qOj63+tXH5uvnxBX7GwV1NQIObm/X5I5dFoZCIiKuvGl83L+7/qa24+N1fDU081Zds2E/fem8uYMdkNpkFzoaIU6A0AWRZGafPmJaDX+3juufRqd4MvRFwuiccfb87GjSYWLDhxxufC6ZR47rkk/vvfcK69togZM9Kr3U0rLlbx+utxLF8eSWiol9Gjq45MsVhU7NhhZOtWY8DR2593nZjoChjPde9upU2bczP/sVpV/PlnmXS9oEBI13v2tAbmyVu0qJ9ZaFmGFStCWbw4jmPHdPTsaWXs2KzzFqvhdovF+8aNJr7+OpITJ4LwLx61Wh+dO9sDBXm3bvY6P4nb7RIbNgSzcqWY/S8u1gRkuoMHm0lOthARcWEsYuuTtWuDef75JPLyNIwYkcdjjwlZ45tvxvDOOzFERXmYOTOdfv2USLX6ZPduPSNGtKJTJzvvvHPsnE2DUlODmDUrnvXrQ9HpfHg8El6vVGFu/fLLS864IWazqdi7V1/BwM0fkQhiI69TJztNmzrZvt3I5s3BNG3qZPLkzIsupq+gQM0HH0SzbFkUTqfEP/9ZTP/+ZtLSdGzebCIlxRiIhWvTxhGIdevd23pGT5iGRkGBmldeieObbyKIiPDyxBPCTLS652+fT8Sn+Yvy48fFe6prV1ugKK8NE0IQ594dOwwsXx7JL7+EBWTyBQUaIiI8jBoljOQutMLpwAEd48cLSfujj+bw0EO5DXbs8HSUz5s/NWu+bG7e/3+Xq/K5+fBwb7Vk9rU1N5+SYmDcuGaUlKiZMSONa681n/PfVDgzSoHegDhyJIhJk5qyd6+BW28tYMKErItit74ybDYVI0e2YO9ePUuWHD+jI7Msw3vvRbN4cRwdOjh45ZXjNepq79+vY+7cRDZvrv7uub9Q3LrVFIh4y80VGufgYC/dupUZz3XufGa33IwMIV1fs6ZMuh4S4uXKKy0B6frZRLrUFR6PUCEsXRpLXp6WwYPNjBmTVevxSYWFanbsEM9vSoqYl/QvDkGmaVMXt9xSSN++Vtq3d9Tr7KfHA9u2mVixQnTXMzODUKlkeva0BaTwF9q8Zl1TXKzmpZfi+eGHCNq0cTBzZvopDt27dhl45pkkjh7VM3RoPuPGKUZx9UFuroZhw1qj0ch8/vnhc+quWixleeZarczIkXncc08ebrdU5dx6crJQFAUH+9i/X19hZvzIER2yLDby4uLcFdzUO3a0nzLm8uefJmbPTuTYMR1DhhQzcWJWozUQrS5FRaIw/+yzSBwOFdddV8zDD+fQsmXFY7rbLbF7tz4Q67ZtmzEQHdeihZM+fcoK9oaage52i7GopUtjsdtVDBuWz6OP5lRLheN2w+bNpoA/SU6OFo1Gpk8fK0OGiHGMun7chYVqvvsugi++iCQtLQiNRsbjkWja1MnEiVkMGND4jeT8kvbZsxMICRGS9ksvvTjSOU43N19eau//2dnOzZcv5k+em/c3D+fMSSAhwc2iRSdo27Zh+mW5XFLAHLCgQBP48j9X/v/fe28e111XXN93t1ooBXoDw+2WeP31WN57L5qmTV3MnZtGly7npzPZ0CguVnPvvS1JT9fy7rvHqvU8rF4dwsSJTTCZfCxefKJGz50sC/O5+fMTyM7WcsMNYv6suidaWRaurykppoAs3i9H12hk2re3V3CLj4rylErXRRTawYPius2bOwMGb927N/y5ZptN4uOPo3n//WgcDhU331zIY4/lnNUCxecTEkG/mdv27cZAl0ujkWnRwoHVqiYzM4i2be3MmJHeYA1KZBn27dOzYoWIb/O/vu3b20uLdQtt2yomc6dj5coQZs5MpLBQwwMP5PLww7lVbsA4HCJq7eOPo0hKcvPCC2n06qWYxp0vnE6J++9vycGDOj7++Gi1jDsrwz9+9NprcRQWqrn55iJGj86udPTL7YaNG4P5/vtw/vwzuFSe7n9/iA9WZKSbLl1EMd6xozBzq66qxuWS+OijKN58MxaAhx/OYcSI/AsuSqi4WM2HH0bx6adR2O0qrr22mEceyan2ZqvHA3v3GgIz7Nu2GSkpEQVDs2bOQLHep4+tQcxLb9ggYtOOHBGeAxMnZtGq1ekLD79SasUKoZQymzXo9T6uuMLCkCHC0LA+NtB9Pvjzz2A+/zyStWtDEMt2qcGfH89EeUn7ZZeVMGdOaqNTZ5xPHA6pymL+5Nn5083N+wv48HAPJ07oOH5cR6tWDkaMyKNJE3egmK/ruXmfD8xm9SlFt/8xli+6Cwo0gTjLk9HpKnoB3H57IQMHNg6FslKgN1A2bTIyZUoTcnK0PPJIDg8+mHvByZaqQ26uhuHDW2GxqPjww6O0bn3m3buDB3WMHt2c3FwNM2akc/31Ndsts9kk3nlHOLhqNDIPP5zLPffkn1VntrhYxfbtZcZzu3YZSqO7QKWS8flExnaHDnauvbaY5GTLKd2KxkJBgZq33oph+fJINBq455487rsv75Ss9fJYLCp27jSWFuQGduwoW9hFRHhKZeo2OnWysWVLMO+/H41WKzN6dDbDhhU0KplbamoQK1eKzvq2bUZkWSIpyRXorPfocW5Z0BcShYVq5sxJ4KefwmnXzs7Mmel06FC9hebmzUamTm1CRoaWESPyePzxnHNyX1Y4M7IMU6Yk8Z//RLBo0fGzHtHauNHESy/Fc+CAgZ49rUyYkFmhwHC74cgRf2dcz65dRg4c0OHxiGNqSIiHiAgvNpsq4LLevLmT5GQhhT+TKVdVZGRoeemleFasCKNFCyfPPJNRqSt9Y6O4WMVHH0Xz6adRWK1qrrlGFObnmvHt9YrNSX+HfcsWU2ABnZTkKlewW8+roig1NYh58+JZtSqUJk1cTJiQeVoPleJiFWvXCuf19etDAl4jyckWBg+uWSTg+SAzU8vy5RF8/nlUqaJBpkMHBzNmpNG+fcPsfFbGgQM6nnqqGSdOBPHoozmMHNk4Je0NFf/cfFVZ8xkZWnbvFmtVSZIDyqPynM3cvN98r+xLXa7grtjtrmpeX6USEv/y0Xjiy3vS/8X9MBgar5u+UqA3YMxmFbNmJfK//4XTvbuVOXPSaNKk/nefzzepqVqGD2+FSgUffXSkWif0wkI148Y1Y/NmEw8+mMvo0dk13u1LTQ3ipZfiWb06lObNnUyceHaziP7c39WrRe6v261Cp/MRHu7BalUHCtKQEG+gw969u5UuXeyN0h04NVXLa6/F8b//hRMe7uHhh3O5446CUkOvoIBUfft2I4cPC9mpJMlccomDbt3K5sebNXMhSfD33yZmzhRS02uvLeLpp6uvamio5OeLyJ2VK0P4889g3G6RBT1woMhav+yykkb52tcGv/wSyuzZiZjNKh5+OJcHHsirccfSahVmcl9+GUnr1g5mzUprtJ2kxsAHH0Tx8ssJjBqVzSOP5Nb490+cCOLll+NZuTKUpCSRZz54sJnjx3Xs2lUmU9+/Xx/Y4AwJ8dKxo72Co3piojuwGMvK0rBmjXCE37hR5K2Hh4u59cGDqze3fjJ//BHMnDkJpKbquOaaYp5+OrNODULrCrNZxSefRPPxx1GUlKi5+mpRmNeVfNXrhYMH/QW7yGP3d/ESElyBWLfeva00beqq9QW1zSbGJT78UMTyPfRQLsOHV77pnpOjYdUqMU++aZMJj0ciNtbNoEFmrrqqcaR1uN0S//1vKK+/Hkd2dhAg06aNkwkTMrjsMluDLVhkWahn5swRkvaXXkqjT5/GvxHWmPj7bxPjxzfF5ZKYPTuN5GQLRUWVF/N5eRqysjTk5mopLNRgNqsD0bUVqahqOhmdzktYmOjex8S4iY0VBXZERFmh798MCA/3XjSbNUqB3gj48ccwXnghEVmGZ57J5F//KmqwB9i64sABHffe24qICA8ffnikWlInt1ti1qwEvv46kkGDzMyZk4bJVHMJ2rp1wbz4YgLHjukYONDMhAlZp80W9/lg925DYJ58/37h5NqsWZl0vUcPcZKXZbER4Dee27bNyJEjflm8j44dHRWK9sYk8dq61cDcuSLOTq/3oVLJgTnFkBAvXbuWOat36WI/xYE2P1/NggVi9rhJExdTpmRw5ZUXnlmT1api3TohnVy3TszUGgxCOjl4sJkBAxqW90BdkZenZvbsRH77LYyOHe3MnJl2zgXDunXBPPtsEvn5Gh56KJeRI3Ma/OK6sbF2bTCPP96cq682M39+ao3OTWazirfeiuWTTyLRamUGDrQQFeVh3z4De/fqsdvF8cJg8NKhgyMwMy7M3FzV3nQtKSnLW1+7VnzGgoJ8XHaZyFtPTrZUW/budEq89140774bg1ot89hjOdx5Z36jeF9ZLCo++SSKjz+OxmJRM2RIMY8+mkO7due3u+rzwaFDugod9oICUbDHxroDHfbeva20aHH2Bbssi/XTwoXx5ORUPbZ24kQQK1aE8vvvoezYYQTELP3gwcLkrXNne6OIwaqMDRuEl4LfvC4uzsXIkbn861/FDcqnw2pVMWOGaEgpkvbzjyzDRx9FsWBBPElJLkaPzkavlyuVlPsvKypS4/NV3uUODvZiMnnR6WS0WmFu5/VKuFwSDoeKkhJ1wGT5ZIKDvZV05as3N38hoRTojYSMDC2TJzdh61YT11xTzLRpGYFIsIuFlBQDDz3UkmbNnLz33tFqmbnIMnz2WSTz5iXQqpWTV189flaSOrdb4pNPonjjjRjcbokRI/IZOTI3cIKz2ST++iuYNWtEPnlenhaVSqZ7d1vAuKhly+otNIqK1GzfXuYWv2uXIeDm2ayZM+AW36OHjZYtnQ3i4CTL4j26fXuZmduBA/qARCkoyIfLpSI+3sXDD+fy738XVrng8fmEMcyCBXHYbCruuy+Phx7KvSg6ym63xKZNRlauLDMfUqtleve2BubWG8IMZ20iy/C//4Uxd24CVquKxx7L4d5782ptpKe4WMWcOYn8+GM4HTrYmT077ZwlvAqCI0d03HVXK5o2dfHBB0eq1ZGWZThxQsv770fz3/9G4HRKaLVyIBZRp/PRvr2jQme8RYtzS8Uoj9stjBxXrRIRbunpIm+9Sxd/3rqFVq3OfFxNTdUyd24Ca9eG0qaNg2eeyaBPn4bpeVBSouLTT6P46KMozGYNgwaZeeyxHNq3bxiqElmGo0d1pTPsosPuH1GIjnbTq5ctYDxXndcGRJrA3LkJpKSY6NTJxqRJmYGkEVmG/fv1/P676JT7vWI6dLAzZIjolFf3dhoLmzcbefbZJE6cEIW6Xu/l5puLGDasoFqjg3XJ/v06xo8XkvbHHhMjnRdLl7Su8XigqKhsjru8pNxfeOflaThyRBfYEK2M4GBvOem4KJJPlpP7vw8Lq958un9u/kxGeNWdmz9TMd9Y8ub9KAV6I8Lrhfffj+b11+OIjPQwe3YaffteXPKfDRuCGTWqGV262HnzzWPVnv/asMHE+PHN0GhkFiw4Qe/eZ7eQys3VsHBhHP/5TwRRUW4GDLCQl6fl779NOJ3Cdf2KK0QMWv/+JbWyieJySezZoyclxcjWrSLiprBQHKzCwjyl3XVRsHfqZD8v87b+++QvyLdvL3OwNxi8dOliD3THu3WzExLi5X//C+O11+JITw/isstKGDs2i44dKy4QDxzQMXNmIikpJnr3tjJtWsYZzXsuVPxKjJUrxQzk0aNiEdmpk43Bg0V3vXXrxr2IzMnRMHNmIqtXh9K1q42ZM9Pr7PX+7bdQZs5MpKRExejROQwfnqcsAs+B4mI1d97ZipISNcuWHa7U4VyWITtbU8FNfft2Y8BxWJJkWrVy0quXNeCm3rq187z5rYi8dR2rVoWyenUIu3eL7mmzZs7SzvqZvSFWrQph7twEMjKCuP76IsaPz2oQ+cwgupKffx7JBx9EU1ysITnZzKOP5pxy3G1oyDIcPx7E5s2mgPFcTo44v0RGeujVS2Sw9+kjIk3LL7rz89W8+mpZbNqTT2Zx001FyDKkpBgDpp3p6WUJG0OGCB+QxMQLa/PzZGRZGG/OnZtAVlZQYL64d28rQ4fmM2SI5bwaIMoyfPVVBC++mEBoqJcXX0xtsJtcDQW/u3tVc9zlu92isFVXOUMeGekhONhLVpYWm01Fz542BgywnDJPHhHhqXcfl8rm5k+V3Yvnoqr5dbVaZvz4TO6+u6AeHkHNUQr0Rsju3XomTWrK8eNBjBiRx+jROfUaLXW++fXXUJ5+uin9+pXwyisnqn1COXYsiNGjm5OWpmXq1ExuvbWwRrfr88HevXpWrw7lp5/CApIxnc7HVVeZueWWQnr2rPv5NP/iRTjFC/M5v9O5VuujUyd7oGjv3t12TlFHfnJyNAFX9ZQUI3v26AMdr6QkV+C2unWzcckljioX2C6XxPLlkbz1VgxFRRr++U/h0BwV5eGNN2L56KNoQkO9jBsnFlWNufisbY4cCWLVKrG49Mswmzd3BkzmunZtPDJMWYbvvw/npZcScLkkRo/O5u678+u8YM7PVzNjRhIrV4bSo4eVF15IP+24ikLleDzw6KMt2LLFyHvvHQ10JvPyyhfjwswtP18cEFUqGaPRR0mJmvBwD/ffn8tddxU0qHNX+bl1v19IdebW7XZhLPr++9HodDKPP57N0KH1l0dts5UV5kVFGvr3t/DYYzmnxBM2FkRCSlCgu75pk4nMzCBAbFL36mWjRw8rubkavvlGRMTdeWc+99+fG9jkXLUqlIICDVqtiOQbMkRswNTG+bGx4XbDl19GsmRJLMXFaoxGHzabmqgoN7feWsjttxfWuVLLalXx/POJ/PRTOJdfLiTtUVEX32sB4vUoLDzVLK18EVq+8K4sHx0gNLRiZ/vkTnd5E7XQUB/r1gUzcWJTJElm3rw0+vW7MEYI/Xnz/ucuM1PDb7+F8eefwdx1Vz5PPZVd33exWigFeiPFZpN4+eV4vvgiinbt7Myde3HJNr/+OoLnnkvin/8sYs6ctGov7M1mFRMmNGX9+hDuvjuPp57KOu0iym6vKF3PzS2Trvfvb8HtlvjssyjMZjW3317A44/nnJKnez4oLFQHZti3bTOye7chUEC3aOEsjXaz0r277Ywzff589/JRZxkZYjEUFCQ2APzFeLdu1Y8sKo/FouL996P5+ONoXC7Q68V8+q23FvDkk9n18hw2JnJyNKxeLRzh/QZYUVFukpOFyVzfvtYGVfiUJytLy/PPJ7JuXQg9e1qZMSOd5s3PX5Esy/Df/4YzZ04CHo/EuHFZDB1aoGwG1YA5cxL47LMohg/PJSzMx+7dBnbtMgS6nCqV6Ix37GinTRsHe/ca+PXXUPR6mZEjc7n77vx678icibOZWz9+PIjZsxPYsCGEdu3sTJ2aEdi8OB/YbBLLl0fx/vvRFBZquOIKC6NG5VyQUa3p6drADPu6dcEBSbxKJdOypRONRubECR12uwqTyUv//uLY2L9/yVl50VyImM0q3nknhk8+iQIgIcHNiRNBqFQwcKCFoUMLuPzyklrf+N2/X8/48U05cSKIUaOEpL2xbC5XB1kWz23FrnbVruVmc+WLUK3WV6HILi/hPlliHhnprXazyueDd96J4bXXYmnb1sGiRScuSANqrxd++CGc116LIydHS3KymbFjsxuNKlMp0OuBtDQtJ07oaNHCSXy8+5wOTKtXh/Dss0lYrSrGjs3izjsvnoXm++9Hs2BBPEOH5jNlSma1H7fHAy+/HM8nn0TTr5+FefNSK8yzZ2drWLNGGLxt3BiM0ylO8FdcUUJysoUrr7QQEVFWQBYXq1iyJI5lyyIJCfHyxBPZ3HprYb3KZ51Oid27DWzbVmY+55/hiYwU8WX+oj0hwc3evYZAQb5rlwGHQ7wpY2PdFbrjHTo4ak0Cl5mp5bnnEtmwIQSQ0et9PPhgHvfck1djd+WLGYtFxbp1IaxcGcIff4RgtaoDC9LBg8X79XRRd+cLWRYba/Pnx+PzSYwZk8X//V9BvS3MsrI0TJ/ehD//DObyy0uYMSP9gpvvry3MZhV79ojO+K+/hrFnj6HCz1u0EMW438CtfXsHQUE+vv46ktdeE126f/+7kMcfz2kw8u+aUNncOkDXrrZT5tZlGX7/PZQXX0wgO1vLzTcX8uSTWXXaHbTbJb74IpL33ouhoEBDv34WHn0057xuDtQHJ06I2LTVq0MJC3MTHCyTmamtYFyl03np3dvGpZeKGfYOHeyNwtDvfJKermXx4jh++kkkr3TqZGfPHgOFhRqaNnVyxx0F3Hxz0TlvnPsl7XPnJhAW1rgk7U6nRGGhmOWuSlJevuj2Rz+eTHj46WLBKjqXm0y1b4BWUqLimWeasGpVKNdfX8Szz6Y3qKjA2kCWReLGwoXxHDqkp0sXG+PGZZ31aGt9oRTo9cCHH0Yxf34CIAwOmjd30qKFixYtnLRo4aRlS/H/6u7y5uWpmT69CX/8EcIVV1h44YX0RrkIOhsWLYrj3XdjGDkyhyeeyKnR737zTQQzZyaQlORmzJgsDh4Uzut794rFZ1KSi+RkMwMHWujd23bGwvTAAR1z5yawaVMw7dvbmTw5k549G8YBweeDY8d0bNliZO3aEHbsMAZcc/1IkkzTpi4uvbSEvn2tdO9ur5OCxe2Gzz6L4vXXY5FliUcfzeHKKy28/nocK1eGEh3t5tFHc/j3vwvrTSLaWHG5JDZuNJVKOkPIz9ei0fjo21eYzA0aZCEm5vwfG9LTtTz7bBIbNwZz6aUlPPdcOk2b1n8xLMvwxReRvPxyPGq1zKRJmdx448U9WmG1qti7Vx+Qqu/ZYwiM8whkoqI83HNPPl262OnQwX7KBtCGDSbmzUvg0CE9vXuLPPPq5tg3dPxz66tXi89Y+bn18nnrLpeKN9+M4aOPojEYfIwZk81ttxXU6satwyHx5ZeRvPtuNPn5Wi67rIRRo7Iv+MLcalWxYEEcX30VAUjIMsiyRGKiK+C8npTkYts2UyDaze/hYTB46dnTFnCJ79Sp9jadGzs7dxqYPz+erVtNtGrlYOBAS+kGv4mgIB/XXlvMHXcU0LWrvcbHyJIS4dL+00/h9OtnYfbstHqVtPt8YDaXl5GrKxTd5TO5Cwo0gTjck9HrfRViwKqSlEdFeQN54PXFkSM6xoxpRmpqEOPHZ3HXXfkX3Llu9249CxbE8/ffwTRt6uTJJ7O5+mpzo3ycSoFeDxQXqzlwQMexY+Lr6FEdx44FkZ4eVGHnNzbWXVqsi4Ld/31Cwqldd1mG5csjmT8/HqPRx3PPpTN4sOU8P7LzjyzDjBmJfPVVJOPHZzJiRH61fs/hkNi4MZgvv4xg7dqQUhMNIV33R6GdjQGXLIsc5/nzRffkuuuKGDcuq96yci0WFTt3ljmr79xpCJxowsM9JCW50OlkiorUnDgRFNj1bdXKUcF8zp9Jfq5s325gxoxEDhwwMHCgmcmTMyu46m/bZmTBgjhSUky0aOHkySezGDzY0igPrvWN1ysWXCtWCKfi1FRRZHXtagssYlu0qFtpuc8njksLF8YhSfDUU1ncdlvVDv71RWpqEFOnJrF1q4lBg8xMn55+UUT82O0S+/frK5i4HT2qC5gKxce76NjRQefOduLiXLz0UgIREV4+/fRwpSkax46JPPPVq0Np0sTF+PGZF/znNztbEyjWT55bHzTIQmKii5dfFgvGTp1sTJ2aec6z4E6nxFdfRfDuuzHk5mq59NISHnssh169GsaGcF0gyyKabenSWFatCgmcq1q0cPKPfxRz1VVm2rd3VPley8vTBGbYt2wxBZzbDQYfXbuWucR36WJvsONB5wO/kdyCBfGcOKHjsstKuO22fDZtCuY//wnHZlPToYOdO+4o4Lrriqqldtu3T0jaU1ODePzxHB54oG4k7Xa7VC1JeUFB1UZiKpVMeLi3XEf71M52+aLbYGgcMV8rVoTwzDNN0Otl5s8/0WiUC9UlLU3LK68IFUhEhIdHHsnh9tsLG/Xmm1KgNyBcLokTJ4IqFO3+7y2Wst07vd5Hs2YVi3Z/1z07W8ukSU3Yu9fArbcWMGFC5gUvF/Z6YeLEpvzySxgzZqRxyy1FlV4vJ6eidN3hUGE0eunZ08rBg3ry8rQ8/XRmrYwJ2GwS774bwwcfRKNWyzz0UC7Dh+fX6Ynfbx7nL8a3bzdy+LBYbKtUMm3aOAKu6t2722jatGLR7XBI7NplqOAW73/fRUZ66NHDWiqLr7nUvbhYxeLF8Xz1VQSxsR4mT86ocuEuy8IZedGiOI4e1dOtm5AnNRQ1QmNEluHwYV2pI3xoQKLcqpUj4AjfqVPtmsydOBHEs88msXmziX79LDz3XEalTt8NBa8XPvkkildeicNk8jFtWgZXX22u77tVa7hcEgcO6CuYuB0+XBaFGB3tDjipd+ok/vVvUthsKu65pyWZmUF89tnhUzZ2iotVvPlmLJ9/HoVO5+Ohh8Sc+cVW6Pjn1levDmXt2mDMZk1gbj0mxsOqVSEUFmq49dZCxoypudeG0ynx9deiMM/J0dK7t5XHHsu+4Bbbfnw+2LVLbDL+9FNYwBjOYPBy001F3H13/ln7VxQUqNm61RSIdjtwQBwTdTpRsPfuLbrsXbvaLoqIz5NxuyW++CKCpUtjMZvV3HhjEQ88kMumTSaWLYvi4EE9ISFebryxkDvuKKx0rleW4csvhUt7eLiQtNdEZuz1lpl9VVZ0V5Saq7HZKu9yG43eKjrbp8rMw8O9F1S6h9cLr70WxzvvxNCli40FC04QH3/hKGyLitS8+WYMy5ZFotHAPffkcf/9eQQH1/9Y37miFOiNAFkW7sP+jrso2kXxnpZ2ate9WTMnJSVq9u3TExvrZsqUTAYOtFxQB52TcbslRo9uxp9/BvPyy6lcdZUZWRau62vWhLB6dVlRkpTkYsAA4eDau7eNoCAZm03FpEliLufWWwuYMiWzVnbeUlO1zJuXwKpVoTRv7mTChEwGDKgdp0ybTWL3bn8xLuKLioqEfiokxEvXrmWz41262Gt8wPL5hCTKbzy3bZuJtDSxQNLpfHTubKdnT2vgNsLCTv37wpArjPnzE0pjmfIZNSqnWuMbHg98/30ES5bEBgw+nnwyu94zWy8EMjO1rFolTOY2bzbh9UrExroZNEg4wvfpc+aRjqrweuHTT6N49dU4tFqZp5/O5OabG49s/NAhHVOmNGHPHgPXX1/E5MkZlb63GzJuNxw+XFaM79pl4OBBXaDrGBHhoWNHe2BuvHNnO7GxlS/afD4YN64pq1aFsnTp8QpOvx4PfPVVJK+/Xn7OPPuiUB+ciarm1qOj3eTnawgO9jJuXDb//veZFSUul8S330bw1luiMO/Z08qoUTlceumFF7PqdsOWLaZAHFpOjjYQB2YyeXn00Wzuuaf2vSuKi9Vs2WIMGM/t26dHliW0Wh9dutgDkvhu3WwXfNOjPOWN5NRqGDEij3vvzePAAT3Ll0fy66+heDwqLr20hKFDCxg0yIxWKzarnn8+kZ9/DueKK4SkPSLCi92uqiKT++Q5bg1FReoK61s/arVMRERZV7sqAzV/B/xCm7GuLsXFaiZObML69SHcemsBzzyTecFsmjocEp9+GsW778Zgtaq4+eZCHnssp97UqnWBUqA3clwuidTUII4dCyrtupd138s7Q6rVwtm0rONeNvPeEAykagObTWLkyBbs3m3giitK2LfPEDi5d+1qD8yTt2lTuXTd54PXXovl7bdj6dXLysKFJyqYwZ0L69cHM3duAseO6RgwwMzEiVk1ineSZcjI0AY64ykpRg4cKOt+tWzpoHv3suzxli2ddSIhy83VlHbYxX3Yt8+AxyPuQ5s2jkCHvXt3K263xOzZiWzcGEyXLjamT8+gffuaz6Ha7WUHYptNxU03FfHYY9kX1C5wfVJcrGbtWmEyt359CHa7ipAQbyBa6sorSzAaq3eMOHIkiOnTm7B9u5EBA8xMn57RKE+YbrdwuX3rrVgiIz08/3w6V17ZMCNovF44elTHrl1lM+P79ukDUTwhId5AV9xv4paQ4K72hslrr8Xy5puxTJiQyT33lI0QbdgQzEsvxXP4sJ4+fUqYMCHrrD7fFwOyDAcPirz18nPrIAr2UaOyufnmolPmU91uiW+/Deftt2PIygqie3crjz2Ww2WXWRvNhld1sNslNmwIZuVKkUdvNmvQ6300aeLixIkgvF645558Hn4497x1xsxmVekMuyja9+414PVKaDQynTuXddh79LBV+/jYmCkvIY6KcjNqVA633FJIQYGaZcui+O67CHJztYSEeGnZ0sGRI3qsVhUtWjgxGn2BGDG/Ae3JBAd7T+lul811e0rl5d7SiDBvgxuTamjs369nzJhm5ORoeOaZTG67rWaxwg0Vrxf+8x/hzJ6drWXgQNG4uRBTrJQC/QJFlkX01q5dBpYujWXXLiOhoR5CQnxkZWkrzN5ER7srkcs7SUx0N4que26uhrVrQ1i9OoQ//xSu6yDTp4+VG28son9/S43MSH78MYxnn00iOtrDq68e55JLaueD73ZLfPppJEuXxuJ2S4wYkc/IkbmVntydTom9e/WBYjwlxRiIkTEYvHTtai+NOROS9bCw+ulY2WwSu3aVxbtt324sZ6Yio9HAoEFm7rsvl/btHefknltYqObtt4WUSaWCu+7K54EHciudhVU4OxwOESu4YoVYKBcVlUl0Bw8WqpPKPkseD3z0UTSvvx6LXu9j0qRMbrihuNEXEbt365kypQmHD+u5/fYCnnoqq14jmnw+McZS3sBt714DdrtYrRqNXjp2dAQk6p07208ZZakJP/8cytNPN+OWWwp5/vl0JAmOHg1i/vx41q4NpWlTJ089pfhE1BQxtx7CF19EceCADpAICvIxeLCZa64xc+mlJfz6axhvvx1DRkYQXbvaGDUqh8svL7lgnufiYhVr14ayYoXYGHQ4VISGekhOthAf7+bnn8M4cUJH//4WJkzIrHO/jDNhtarYtq2sw757t9icVqtlOnYs67D37Glr1PJaWRbd76rmuA8f1rFnj/CyUankSjvcpX8JrVYmPt5N06auQGe7sqI7IsLT4GMXGxM//hjGc88lERrqZeHCE3Tt2vhNI2VZNLoWLIjn4EE9nTuL0ccLdbwHlAL9osAvM549OxGACRMy6NrVUaHr7pfNl++6BwX5aNbM1eC67rIsdgdXrxbz5Lt2iW5EQoKLgQMt9Ohh49VXxdzUBx8cPasCe9cuA0880QyrVcXcuWkMGlR7hnu5uRoWLYrjhx8iiI1189RTWfTqZWXHjrJifO9efSDHPCnJRY8etkB3vE0bR4N1N1+/3sRzzyWRlRVEYqILrxeys/1zgz66dCkznuvWzXZW76P0dC2vvRbHjz+GERrqZeTIXIYNK1BO8LWMxwMpKUZWrAgNSHQlSaZHD2EyN3iwhaZNXRw8qGP69CR27TIyZEgxU6dmXlApEk6nxOuvx/LBB9EkJrp54YW08xLXIsuia+UvxP3/+jfA9Hof7duLjninTg46dbLRooWr1jpLe/boGTGiFR062HnnnWPY7RJvvBHLsmVizvzhh3O5666Lb868tsnM1PD880msXx9ceokwLAXhSj5mTDb//Gfj3+wC4QOzapXwwdi0yYTHUzZac9VVZmJi3CxYIDZ/anskrLax2SRSUspM53bsMODxqFCpZNq3d5Qr2K31PiLjdksVJOTlC+/KZOZ+9c3JhIR4A7JxrxeOHNFTUqKmZUsnN9xQyMaNwfz9dzDdu4s4u59/DqewUEPz5k5uv11EtdVXM+FiwO2GBQtEhHCvXlbmzz9xQYwb7dkjnNk3bgymSRMXY8Zkcc01jdOZvSYoBfpFRHq6lmeeacLWrSb++c8ipk7NqNB99HfdT55zP3ZMR2pqUIWue1SUu0LBLuTzLhITXXXSdXc6Jf7+2xQwecvKEsVCly52kpMtDBxo5pJLyqTraWlahg9vBcBHHx2hSZOam1NlZ2sYM6YZe/YYGDMmm/vvz6uVA4LbDQcO6PnxxzC+/z7ilE2Rzp3Ld8dtjeIAm5en4aWX4vnpp3CaN3cyZUoGl18u5iOzszWBGfZt24zs36/H55OQJJlLLilzi+/Z01Yj6e2+fXoWLYpj/foQEhJcjB6dw3XXFTUK1UdjQ0RL6UvnQkPYv1/4OURFuSkoEPO006ZlcO21F+5Jc9s2I1OmJJGWFsTdd+fzxBPZtWYeJcuQlaWt4Ka+e7c+cGzQan20b+8ISNU7dbLTqpWzzjbq8vI0DBvWGkmS+fTTw6xYEcbrr8disYg581GjlDnz2sTjgbffjuGdd2JwuVRoND5MJh/FxeIFrixvvbFw/HhQIElixw6xmd68uZMhQ0SSROfOdmw2FW+9FcPHH0eh08k8/LAwGWxMDsx2u8SOHWUd9h07DLhcKiRJpl27soK9Vy9breSJm82qCgV3WaF98ny3usIaozxare+UaLCT5eRlX95TXg+3W2L5cuFBUVKiQpLggQdyGT06B5VKjGD++msoy5dHkpJiQqcTUW3DhhWcc5KBQkXy8tQ8/XQzNm82cffdeYwbl3VOisWGQFqalldfjeN//wsnPFw4s99xx9k7s8syjerYqRToFxleL7z3XgxLlsQSHe1m9ux0+vQ5s9GM2y2Rmqqt1KjOb0wG4oBf1nUvK+BbtHDWeBc5L0/NH38Ig7c//zRht6sxGLz061fCwIEW+ve3nHaRePCgjnvvbUlYmJePPjp6Vl09h0Ni+vQkfvopnBtuKOK559Jr3KktKFCzfXvZ7Pju3YbAHFZcnJuoKDdHj+pwOFTcemsBY8bknPMJ/Hzh9QqTqMWL43A4JEaOzOX++/NO+xzZbCp27DAEivYdOwxYraKqjo11l86xi9m+tm3PrBb46y8TCxfGs2ePgbZt7Ywdm80VV1w4UtCGyNq1wTz/fCI5OUH4u30JCf4MYgs9elgbrMrjXLDZJBYsiGf58ihatXIwa1b6WS008/I0gZlx/1dBgXjCNBqxcVW+GL/kEud5K1ZcLon772/JgQN6xo3LYtmySA4f1nPppWLOvF07Zc68tvB44H//C+fNN2M4cUJHhw52evSw8eOPYVgsav75zyKSktxs2BAcUIo1bepk0KCyvPWG9jmTZbF56i/K/XFmHTrYA0W5P8LU5xPzpIsWxZGXp+Xmm4W7/YWgwHE6JXbuNAQK9u3bjYHzfps2omDv08dKr15WoqK8OJ0ShYWaahqoqQOGjycTHl5WUJ/sWl4+Liwy0kNw8LlFhPnjfV98MR6tVsbtVqHVyowYkcd99+VVGN/bv1+Yyv33v2HY7Wo6drQzbFg+115bfNGauNUWO3caePLJZpjNaqZPT+df/yqu77t0ThQXq3nrrRg+/1yMMw4fLt5P56LcTU0NYsqUJEaPzqlWzdMQUAr0i5RduwxMmtSEEyeCuPfePEaPzjnrBWBRkTogly9vVJeWFhQwEAMR1VXWbS+LiUtMdKHRlHXpVq8OYe3aEHbuNCDLEvHxrkA2eZ8+1hoVyNu3Gxg5sgVNm7p4772jZyU1k2XR3Xj11Ti6drWxaNEJYmIqX0B4vcIF2l+Qb99u5PhxkT+t0ch06FDWHe/e3U58vOjsFxerWLIkjuXLIwkO9jJ6dA633VbQoLvBe/fqmTkzkZ07jfTtW8LUqRlnNSfo9cLBg/qA8dy2bUayssridLp2tQeK9m7d7JXOAPt88OuvoSxeHE9aWhCXXlrC2LHZyi59LeN2S7z1luj0hYV5mDYtgx49bKxZIxzhN2wIxuVSERbmYeBAYTLXr1/JBbcA27DBxPTpTcjL0/Dgg7k8/HBulcfPggJ1QKLu/8rJEa0NlUqmVStnoBDv3NlO27aOehvXkGWYNi2J77+PoEMHO3v3GpQ58zrA64X//S+Mt96K5dgxHe3b23n00RwGDRLPcXGxmsWL4/jqqwiiojyMHy/GoISZY2ileev9+lXfzLEuHo9/HGblSjEOo1KJcZirrhLJEImJFVVsO3camDMngZ07jXTtamPSpEy6dLlwjtc+H5jN/mJbTU6OUMjs36/n+HEdubmawPy236W+MnQ6X4U87lM72+KyqCgPYWGe89Y1tVhUPPtsEr/9Fkb//hZmzUqjpETFK6/E8fPP4URHu3n88RxuvrmwwjqmpETFf/4TzhdfRHLokIhqu+mmQu64o4CWLevXZ6Ax8s03EbzwQgKxsR4WLTrRqI06nU6Jzz6L4u23hTN7bRgCyzJ8+20EL74Yj1oNM2emMWRI7Y2s1iVKgX4RY7NJzJuXwFdfRdKhg525c9MqzbI8W9xuSE8/1V3+2DEdhYUVHeZNJi9Opypg8Na6tTNgmNO2reOcFoZ//mli1KjmdOpk5803j511RMqKFSFMntyEkBAfr7xynE6dHJjNKnbuLMsdL98Njoz0BObGu3e30bGj/YyS2AMHdMydm8CmTcG0a2dn8uRMevVqWCYYVquK11+P5dNPowgP9zJhQibXXVe7M5KZmdoKbvEHDghZvEol07atIzDH3rOnLbDJAaKA/PLLCN58M5aCAg3XXFPME09k18gxX6Fydu/WM3VqEw4d0nPDDUVMnJh5itLDZlOxYYMwmVuzJgSLRY1e76NfvxIGDxYpCo1FHXImzGYVL76YwA8/iGL2hRfSiItzV5gX373bQEaG2GySJJkWLZx07OgIuKm3a2dvUJFNb74Zw2uvxaFSyRiNPh5+OIc77yxQ5sxrCa8XfvkljDfeiOHoUT1t29p57DFRmFfmHbBrl4EXXkhg924jffqUMGVKJq1bO7FaRd76qlUV89b79rUyaJCZ5GRLlZvItYXLJfHXXyZWrhQeFQUFGrRaH5dfXsKQIcJQMjLy1M96Xp7wYPn++wiio92MHZvNDTcUNQpXbodDOkU+Xr7T7e9uFxRoKCzUVBgL9CNJMhERosgOCvLh8UhYLGry8jQB35n4eBfdutm4/PIS+vUrISGhYSkK9uzR89RTzcjM1PLEE9nce29ehddv+3YD8+fHk5Jiok0bB+PHZ3HFFRW9BGQZtmwx8sUXkfz2m4hq69tXRLUlJ5sbvTy7rnG5JObOTeDLLyPp18/Ciy+mNdpzq9cLP/4YzquvxpKVFcSAAcKZ/VwNmgsK1Dz/fBIrV4bSp08Js2alk5BQ83HX+kIp0BVYuTKE555Lwm5X8dRTWQwdWlCnnZL8fDU//xzGb7+JmTS3Wxir6PU+nE5VhZNa+a67kMqLrntSkqtG0r7ffgtl/PimXH55Ca++euKs1AKyDKtWhTB9ehIlJWqio93k5GiRZVE4XnKJozQT3E737jaaNDk792RZFt3g+fPjycoK4rrrihg3Lqve46pkWbxX5sxJJCdHw+23F/DEE9nnxQCnpETFjh1lbvE7dhiw28VGSHy8KxDv1qOHjUsuceBwqPjgg2g+/DAKt1vFbbcV8MgjOTVy81cQOJ0SS5cKk7SoKA/Tp2cwcOCZd6Ddbti82cSqVaKrlp2tRa2W6dXLyuDBYp725K5aY6KkRMXevXq+/z6cn34Kx+WSEAZfgiZNXHTubAuYuHXoYG+w7s5uN8ydm8AXX0QCcNttIs9c+bzUDn6Fz9KlsRw5oqdNGwePPZbDkCHmMxamXi98/XUEixfHYbOpueeePB55pCz9o6q8df/cenKyJSApP1esVhV//CHi0NauDcFqVWMyeenf38KQIWb69y+pMuXA7Zb45JMo3nwzBpdL4p578nnoodx6TUXweoVa4WQ5uf//J19us1UuaTMavZVKysvncft/Fh7urVQZ5/HAvn2GQKzbli2mgCFk06bOQKxb797WejtuyjIsWxbJvHnxREZ6mTcvlR49Km8gyLJYdy1cKFRt/fpZGDcui3btTi268vLUfPttJF9+GUFmZhCxsW5uvbWQW28tqPd1T0MkO1vDuHHN2LHDWDrzn92g1ZanY8OGYBYsiGP/fgMdO9p56qksLr303CXof/wRzLRpSZjNasaMyeaee/IbxSZgeZQCXQEQu9pTpyaxfn0IAwaYef759FozARLSdR1r14roJr90PS7OHcgmv/RSIV33eETXvfyMu78D75/RBNBofDRt6qokHs5V5S7iN99E8OyzSVxzTTEvvph6xgOazSaxe7ffWd3Ajh3GwLy9Wi3j9Ur06VPCyJG5dO1aufT6XLDZJN57L4b3349GrZZ56KFchg+vH9fk9HQtc+YksGZNKO3a2Zk2LYNu3epPjujxiJk20WU3kZJiDMiGTSZvQLnQurWTDRtMfPddJDqdj3vvzWPEiPyLIre2Nti+3cD06UkcOaLnllsKGT8+86xi7WRZdF38EtjDh8vmUgcNEnOp5U0eGxp2u8T+/Xp27TIGDNyOHdMFZKmxsS5AIidHWzqbnkbnzo1DarhuXTCzZiWQlqbDaPTy1ltH6datcdz3ho7PJ4qUN96I5dAhPa1bO3jkkRz+8Y8zF+YnU1CgZtGieL79VqR/TJiQyT/+UdGUsXze+urVIafMrScnm+nRo2Zz6wUFalavFnFof/0lRlgiIz0MGiSk65ddZj3jOWnt2mBeeimB48d1DBxoZsKErDpTNdlsqsAcd2Wd7fKFd1GRutKYMLVaJiKiTD5+soGaPy7M//+6GOHxesU5zj/DvmWLMWD2lpjoChTrvXtbadKk+uaqZ0tlkvaIiDOvEV0uiWXLInnzzRgsFjU331zE449nExt7auHt9cIff4SwbFkkGzYEo1KJmNY77ijgssusDfb8cD7ZssXIU081xW5X8cIL6Vx9tbm+79JZsXevcGb/669gkpJEWsU11xSfcxFtt0u8/LLwiWnTxsHcuamVbgo1BpQCXSGALMNnn0WyYEE8wcE+ZsxIr1anrDJcLolNm0yBeXK/zLNzZ1tgnrxdu5pJ14uLVeUM6srk8sePB1UwTImI8FTotvuL96QkF59+GsXLLydw220FTJ+eEbh9WRZFqN/Ibft2Iav2d/NbtXIEOuPdutlISnIxa1Yi330XwdVXF/PCC2l1JlVNTdUyf34CK1eG0qyZk4kTz1/0jNst8q3feCMWSZIZNSqHu+7Kb5DGRBkZ2nJz7CYOHRIFlFot07KlE6dTIjVVR3i4h1Gjcrj11gJFRlcFdrvEa6/F8fHHUcTFuXnuuYxTJIrnwrFjQYG4pR07xIZdkyYuhgwRi/5u3Wz11hFwuSQOHNBXMHE7fFgXWMhHR7vp3NkeMHHr2NFOdLQXWYaffgrjhRcScbslxo7NYtiwgga7a3/kSBDz5iWwbl0IGo0PvV7mq68OkZTUeFUNDQWfD1auDGXJklgOHtTTsqWDRx/N5R//KD7n93VKioFZsxLZt8/A5ZeXMHlyRpWzu9nZmoA/RE3m1jMztQGTt61bjfh8IvJt8GARh9a9e/U+n0ePBvHSS+I91qKFOHddeWXNjiMeDxQVaaoouisW3gUFGuz2yj9wwcEnd7hP7W77i/HQUG+D+9z6fMKrpXyH3T8qGBfnDhTrffpYadbs7NR7VbF7t57x44WkfcyYbEaMyKvx81NcrObNN4Xxl1YL996bx7335la5bkpNDeLLLyP49tsIioo0tGjh5I47CrjxxsJ6j62rD/zr8/nzE0hKcrF48Qlat258hWdGhnBm/+9/wwkL8/Dww7kMHVo7Y1S7d+uZNKkpx47pGD48jyeeyG7U8btKga5wCocO6Zg0qQn79xu44458xo/PqtYOcX6+cF1fsyaEDRuCsdnE/Olll5WQnGxhwIC6mYvzeCAjI6iCUV3lXXeZJk1cyDIcP66ja1crHTvaycgIYs8eA3l5olozGr106WIPdGG7drVXmt0py/Dxx1G8/HI8bds6eOWVE3U637JhQzBz5iRw7JiO/v0tTJyYSfPmdTdbvW2bkRkzEjl0SM/gwWYmT86sMO/d0DGbhSzeX7Tv3Fnmogvidb722mLuvDOfSy5xNrgFWX2xZYuRZ59N4vhxHbffXsC4cVl1Ks3OzdWwerUoIjZuFEVE+Q5d3741M4asCW43HDqkr2DgdvCgLrDhFxHhCRi4+YvxM0kuc3I0TJ8u1Eh9+5Ywc2bDmnsrLlazdGkMy5ZFYTAIA6r0dC3vvXesSrmqQvXwjwEtXRrL/v0GWrRw8sgjOVx77bkX5uXxeOCLLyJ57bU47HaJ++7LY+TI3NOep880t96ihZNt20z8/nsoe/eKGMU2bRwB5/X27au/oV5SouLNN2P45JMo9HqZRx4RXgZarYwsi59XJik/2bU8P19DcbG6UgM1jcZHZKS3QoF96v9F0R0R4WnUC/XK8PngyBFdoMO+aZMpsN6JiXFX6LC3bHn243affx7J/PnxREV5mDcvle7dz005l5oaxKJFcfz6axgxMcJI7qabCqv8fDidEr/+Gsby5ZFs325Er/fxz38WM3RoPp06XRxKH4dDYsaMRP7znwiSk83Mnp12To7m9UFxsZq3347hs8+EM/vdd+dz//25Z6XIOxmPR6RTLV0aS2Skh1mz0rjsssbh1H46lAJdoVJcLolXX43lgw9iaNHCydy5qaccDGVZFPNr1ogoNH8nLDbWXdolN3PppdZaywo+G8xm0XXfvt3Ali0mDh7Uk52txemsOC+q1fqIi/PQtq2DLl1stGolOu9Nm7rO2GX9449gJkxoSlCQzOLFx8/5BHY63G6Jzz6LZOnSWJxOieHD83n44dxalWwXFalZtCiOr7+OJCHBxeTJmQwa1DhcL0+H2w379xvYutXIb7+FsnOnMaCQMBi89OwpTOd69LDRubPtgnMePxM2m8TixfF8/nkkiYlunn8+nb59z+9JrqRExbp1FWdcjUYvV14pTOb697ec9Qnd6xULWn8hvmePgX379LhcohgPCfFWKMY7dbKTkHB20lFZFnPD8+bFo1LBhAmZ3HxzUb1KNN1uUdQtWRJLSYma228vwOeDL7+MYsaMNG65paj+7lwjx+9PsnRpLPv2GWje3MnDD+dw3XW1W5ifTF6emgUL4vnPfyJISHAxcWJmtdz2PR7YssXEV19FsG5dSGDWGYSnx9VXC1lxdVM53G6JggJhdPbjj2F8+20EJSVqLrnEQatWTqxWdYXC2/+ZO5nQ0FM725XldIsu97lFhF1oyLJQLJRJ4k2Bsa+oKDe9epXNsLdufeYNabNZSNp//z2MAQPMzJqVXqsmZCkpBubNS2DHDiOXXCKM5Pr1O726Yt8+EdX244/h2O0qOne2cccdBRd0VFt6upaxY5uxb5+eRx/N4eGHcxtVM8HplPj880jeeiuWkhLhzD5qVE6tNXtSU7U880wTUlJMXHNNMdOmZVTaUGuMKAW6wmnZuNHEM880oaBAw6hR2dx1Vz7btpVJ1/2GNB072gPz5B06nJvr+rnidou4Nr9UPSXFSGamuJ86na908W1jyxYTe/YY+cc/igkN9QZk8/n5ZRW5v+vuz3Jv2bLs+4gIb+BxHjmiY/RoIQF79tkMbrqpqE4fY16ehoUL4/jhBzGPOHZsFtdff25O6rIsMmnnz4/HbFYzfHgejzyS06BcpmsTjwc++iiKd9+NwWzWYDR6AyZAGo1M+/ZipMFftF8I2bxV8fffJqZPTyI9PYg778xnzJjsep/T94/JrFgRyqpVIeTladFoZC69tITBg8UGYFXdbJ8Pjh8PqtAZ37fPEJC/Go1eOnZ0VCjGmzatXVkoQFqalqlTm7Bli4nkZDPPPptRL++jP/4IZt68eI4e1XPZZSVMmJDJrl0Gpk9vwt135zFxYtZ5v08XArIMa9aEsGRJbCCS7pFHcrnuuqLzOga0ebORWbOE2ql/fwuTJ2fStOmpxbXbLQpzvxdETo4wbuzUyU5kpIfMTC3794vueVKSi969S+jQwUFUlIfi4qoM1NSB2eiT0Wp9pxTYIiqssqLbe9ZRrwqnIstw4kRQhQ57drZY20REeOjVy99hF8aq5Yu+3buFS3t2tpYxY7IYPrxuDLb8hrgLF8aTnh7EFVdYeOqprDO6d1ssIqpt+fJIjhzRExrq4aabimq0qdQY+PNPExMmNMXrlZg7N/W8jTbWBj5fmTN7ZmYQ/ftbePLJLNq2rR1ZvizDd9+FM3duAioVPPNMBjfcULtpQvWNUqArnJFjx4KYNKkJu3cbUalkfD4pIF0fMMDCwIGWSg0/zhcFBepA5nhKijBx8kuZRVxJ2ex4+/aOwCLA7ZYYPboZGzYEM29eKtdcI8w2/F138VUWE3f8eFAgBgUgLMxDixauwIx7bKybZcsi2bHDxIgReYwdm1Xnc7Tbt4ss2d27jfToYWXy5Ew6dKi57OvIER0zZyayebOJ7t2tTJuWUWsH0oaOwyHx+ecie9NiEVEvLVu6OHBASJ9F9J9w5e7Z0xqIeGvVqvHL4q1WFQsWxPHFF1E0a+Zkxoz0BhfrB+Jkv3OnIVBYHD+uA6BLF+FU3bGjHYtFXaE77o871Ot9tG9vrzA33qKF67y9dj4ffPJJFIsXx2Ew+Jg6NYNrrz0/xj6HD+uYNy+e9etDaN7cydNPZzFggIVt24w88EAL+vSxsWTJsQbnKdHQkWWx6bFkSSy7dxtp0sTFww/ncMMN57cwL4/bDZ99FsWSJbF4PBIPPJDH/ffnIstiPOq338JYu1ZEH2q1Ptq0cdKsmdhoLilRB7rbubkaCgvV+HyVf0DCwjxER5cV1QaDj7179ezfbyA01MP//V8+//pXMVFRHkwmpcvdUJBlsWFYvsPub7CEhnro2dNGr15W8vM1fPJJFNHRtSNprw4ul+iyvvlmLFariltuKWTUqJwzjkTKskgKWb48khUrQvF4JC67rIRhw/IZONDSaI9rsgzvvx/N4sVxtGrlZNGiE3U6zljbbNhgYuHCePbtM9Chg3Bmr001XmGhmhkzEvn99zB697Yya1Zao06EqQqlQFc4BVkWC7vVq8U8+fbtRmRZIiTEi90uodXKTJ6cWS+SSK9XyOrLF+QnTojFukbjo2NHB1272gIFeXz86Q/wNpvEww+3YNcuA6+/fuK0EiuvVxhc+Av28gW8f34dRM6pLEtERnq49toi2rYtM6or33WvLXw++PbbCF55JY7CQiFdHT06p1pyNIdD4q23hFO80ehj3LhsbrmlsNEXnmdDcbGad9+N5tNPowC48858RozIIz09qIJbvH/OLzTUEyjWe/QQcVr1Oc5RUzZsCOa55xLJytIyfHg+o0ZlN3iZoCwLA6tVq0L4/fdQ9u0zVJDnqlTCELB3b2ugM96qlbNBLNSOHNExZUoSu3YZufbaIqZMOTVHvrYoKlKzdGksy5dHYjT6eOSRHP7v/8QMcGamlmHDWhMS4uXTTw9flIZLZ4ssw/r1wSxdGsuOHUaSksoK8/NtOOnzgdnsn9Uum9lOTQ1i1aoQ0tN1peciKD/OdTJ6va/KaDCTyUtGhpa9ew1s22bCYlEH5tYHDLCQk6Ph00+jcLslRozIZ+TI2h23UqhbMjLKCva//zaSni7WUmq1UCpdfrnosnfoYD8vx9CKRnIy992Xx4gRedVS8eXlafj66wi++iqCrCwR1XbbbQXcemthvTaQaorNpmLatCR+/TWMa64pZsaM9Ebzmdq3T8/ChXFs2BBCUpKLJ57I5tprz92ZvTzr1on4tKIiNaNH5zBiRF6jjZg7E/VSoEuS9B5wA5Ajy3Ln01yvD/AnMEyW5a/O9HeVAv3scbslNm82BubJ/TurHTrYSU62MHCgmY4dHaSna5k8Wcx7XHddEVOmZNSKyUNV+I2+/HL1nTvLOmORkaJA8hfjHTueXYFUXKzi/vtbkpqq4623jp7VjrHFouL4cRENd/SojnXrQti7V48kUcHgJjS0YtfdHw3XtKnrnF0szWYVS5bEsmxZFCaTl9Gjc7jttoIqT6zr1wfzwguJpKUFceONhYwbl6XkHiMKwNdfj+WHH8IJDvbx4IO53HlnPnq9HJANlrnFGzl6VESG+TeIRMFupUcPG5GRDe/5NJtVzJ+fwLffRtCypYOZM9PrNTLvdOTmati92xBwVN+zxxDYINFo5NIZVwc+n0R6upC0e70SMTHuUpM5EeHYUKSzHg+8+24Mb7wRS3i4h+efT69V2aLbDcuXR7F0aUxgznzUqJxAHJLNJjF8eCsyMoL45JPDtGrVeLoy9Yksw59/BvP666IwT0hw8dBDudx0U1GtvrccDumUaLCTDdT8xXhhoSbgoXHSvS39Vyr9XiI62sV11xXTqpXrlKzu6o4weTwib33lyhB++iksMAoWEuLl3/8u5OabC2stb13h/LJrl4Hx45uSlaXlmmuKMRh8bNli4tgxUbCbTF66d7cFXOI7drTX6YZUamoQCxfG8dtvwkhu9OhsbryxqFqFmMcDa9eGsHx5JBs2hKDRyAwaZGbYsAL69GnYUW3Hjwfx5JPNOHJEx9ixWYwYkd+g76+fjAwtr70Wy3//G05oqJeHHspl2LDacWb3Y7dLLFwYz+efR9G6tYO5c9No3/7CNgmsrwJ9AFACfFRVgS5Jkhr4DXAA7ykFeu1TVCRc11evFq7rJSVqdDofffuWMHCgkK5XNuPp8cA774hFZmysm9mz0+jd+9xlsX6Tk/LdcX9eskol07atg27dbAF39drM/szL0zB8eEuKi9W8//7RWpF3//23ibFjmyLL8MADeeh0ciDb/dgxXcDABcTjK5t1L4uHa9HCSVRUzbruBw/qmDs3gb//DqZtWzuTJ2dWeH1ycjS89FICv/wSRosWTqZNy+DSSxu/42Vtc+CAjkWL4vnjjxDi4tyMGlX5IqGwUB0o1lNSjOzaZQiMQjRv7gzMsXfvfvZuurXF2rXBPP98Enl5Gu67L49HH81pMO7GBQXqCjPje/YYAp8RlUqmdWtnhZnxtm0dp9x3s1nF2rXCEX7dumDsdjXBwV7697cweLCZK68sqVNH+uqyd6+eZ55pwqFDev797wKefvrcnPL9kut580TKw+WXl/D005kVZjl9Phg/vikrVoTy+uvHaxx3dTEiy/DXXyaWLo1l2zYT8fEuRo7M5ZZbqleYe72iK1ixyK5sjltc7vfAOBmj0VtpLJhKJZOaqmPfPj1HjohzZbNmTq66Sjivt2vn4JNPonjzzVhkGUaOzOXee/POeuF85IiITVu/PoSkJCe9e9s4fFhXIW89OdnCoEE1z1tXOP+URXfFExMjJO3lN2tzczVs2WIMdNn96zGDwUv37vaA6VznzvZaLcb8lDeSa9tWSKX79av+WuX48SC+/DKS774Lp7hYQ8uWDoYOLeBf/yqq08bS2bBmTQiTJjVBo5GZNy+1UbiQFxerePfdmIDq8O6783nggdpxZi/Pnj16Jk9uwpEjeu6+O48xY7IblVrxbKk3ibskSS2A/56mQH8ScAN9Sq+nFOjniCiAy6TrKSki3zQ62h0oyPv2Lan2jvqOHQYmT25CamoQ99+fx6hROTXqJthsKnbtMpCSIgqbHTsMFBeXyYe7drUHOuSdO9sxmer2gJqWpmXEiFb4fPDRR0do2vTcZ1pSU4MYPboZx47pmDw5k6FDCwI/KylRcfx4UIVYuGPHgjh+XBeYewbRoSgr2MuK92bNqu66yzL89lso8+fHk5kZxD//WcSYMVmsXh3Kq6/G4XZLPPRQLvfdd/aLtYuFTZtMLFgQx65dRtq0cfDkk9kMGFC1U7LTKbFnj4Ft28qK9qIi8b4ODz9VFn8+nv/iYjVz5ybw3/+G06aN6Jp37lx/XfPiYhV79hgqFOR+I0dJkmnRwkmnTg46d7bRsaOD9u3tNZbfO50SGzcKQ6zVq0MpKNCg1Qp57uDBZgYNstSr8Z/LJbFkSSzvvx9NfLybmTPTz2qj7NAhHfPniznzFi2cPP10Jv37l5zy/ly6NIYlS+IYPz6TESPya+lRXLj8/beJ11+PZetWE7Gxbh56KJebby7E45EqdLJPjgYrX3gXFanx+U49UKjVMhERFbO3T87o9hfiERGewHtflmH/fj2//y4yyg8dEgVThw72QBxaZV3szEwt8+bF89tvYTRv7uSZZzLP6JhdHotFxRtvxPLZZyKa79FHcxg2LD/QRc3JEVGJq1aVRSVWJ29dof4wm1VMn57EihVhJCebeeGF9DO6XxcUqNmyxVRasBs5cEAYCup0Prp1K3OJ79rVXmsbv7IMv/wSyqJFNTOSK4/DIfHLLyKqbedOIwaDj+uuE6ZyHTvWbxfW54M33ohl6dJYOnSws2jRiQY/T+10SixbFslbb8Vgsaj517+KePzxnFqPE/V6xSz+66/HERnpYebMtBpt0DR2GmSBLklSEvAZMAh4j9MU6JIkPQQ8BJCQkNDr119/rbP73Bhxu2HrVlOgKE9NFZKlDh3sgSi0Dh0cZz0jYrOpeOmleL7+OpIOHezMnZtaqWxSlkVchF+qvn27kf379YHFS6tWjlKpuijKW7SoHwOuQ4d03HtvS4KDfXz00ZFamV0qKVExcWIT1q4NZejQfCZOzDytPMznEwuqk03qjh49teuelOQ6pePesqWLqCgPkiRkQe+9F8M770Tj9UrIsjBRmTYtg2bNFHlrdfFveLzyShzHj+vo2dPKuHFZ1ZKG+5UhKSmmQMHulw5qtSJVwF+wd+9uC8iRa4sVK0KYOTOR4mINDz6Yy8iRued1U6akRMXevQZ27y7LG/cfh0B0/MrnjHfo4Kj1LrfXC9u3G1mxQhQ26elBSJJMt242Bg+2MGSIud4+DykpBqZObcLx4zruvjuPJ56onhdAYaGaJUti+fJLMWcuiqaCSjdJf/stlHHjmnHTTYXMnJneKGST5wu3G4qKyuTjW7aY+OmnMFJTdej1PpKSnOh0cuA6fgPSkwkOrpjBHRHhPSkqrKwYDw31Vvv85vVCSooxYJCYnh6ESiXTo4eNq64yM3iwudoL+nXrgpkzJ4ETJ3RcfXUxEyZkntanxeeD776LYPFi4W/y738XMnp09mlHoaxWFRs2BLNqlUh6KS6umLeenGw5o/mXQt2yc6eBp59uSna2lrFjs7jnnrOTUhcVqQMd9i1bTOzbp0eWJYKCfHTpUtZh79bt3GNLKzOSe/zxnBpvsu7Zo+eLL0RUm8OhomtXG0OHFnDNNcXnXU1mNqt45pkmrFkTyo03FjJtWkaD7gz7fPC//4Xx6qtxZGSIzZKxY7Np1672NznS00V82tatJq6+uphnn71w4tOqS0Mt0L8EXpZl+S9Jkj5A6aDXCCFdD2bNmlDWrxfSdf8JMjnZzIABljOap9WUFStCeO65JBwOFU8/ncmNNxaxd6+htCAX//pn1oxGL126lDmrd+1qa1BGRTt2GHjwwRYkJbn54IOjtXJQ8Hph8eI43n8/hksvLeHll1PPyiDKalVx7FiZTN4fDXf8uK7CwjEkxEuLFk6SkpxkZurYscOARiPjdqto0sTJxIlZDBx45rxchYq43fDNN5EsXRpDfr6Wq64q5oknsmnZsmbFXX6+OqAc2bbNxO7dejwe8fq1aOGs4BbfvPnZyeILCtTMmZPAzz+H0769nZkz0+t8Zstmk9i/v6wrvmuXIbAZAZCY6AoU4p072+nQwX7eP/uyLMZARHxbKHv3ii5QmzYOBg0SXciOHc9vVKQ/g/6zz6Jo0cLJrFlpdO1a+eaP2y26F0uXxmKzqbj99gIeeyynyo2dffv0DB/eirZtHbz33tELXjEjy2JT6GRJ+cmz3P7L/aqtk1GpfERFecs5lpd1tiMiKhbdERGeWl3cu1xl6o9Vq8rUH5ddZuWqq8wkJ5vP2t/C6ZT44INo3n47BpVK5tFHc7n77vxTNnZSUgzMmZPInj0GevSwMnFiJp061ez44Z9bX7VKdNfT0oRKRqQvCCm8Mrd+/pBl+PTTKF5+OY6YGA/z56dWeZw5G4qLVWzbVtZh37vXgM8nodGUL9jFRvTZKiqKioSR3LJlwkju/vvzGD68ekZy5TGbRVTbsmVRHDumIyzMw803i676+disPXRIx5NPNiM9PYgJEzIZNqygQX8O/vxTOLPv3Suc2ceOzeLyy2u/m+2P+509OwGAZ57J5F//KmrQz01d0VAL9KOU2Y5GAzbgIVmWvzvd37xYC3R/h27NmlBWry6TrkdFlUnXL7us+tL1syE7W8PatSG8/XYMmZlBASdzEB0yMTsuivI2bRwN3nXxzz9NjBrVnA4dHLz99tFae+5++CGc555LJD7ezWuvnaBVq9qJMvP5ICtLW1q0B3HkiI6tW40cOaKvILGUJBm1WsbjUZGY6OLmmwvp1ctGy5ZOoqM9F+VB8Gyw2VR8+GEUH3wQjdOp4t//LuTRR88cC1MVDofE7t2GQIc9JcUYKBz8Zog9eoiivWNHx2mLLL8kcPbsRCwWFY88ksv99+fWuqmP0ymxf7++gkz9yBFd4P0WG+sOFOL+orwhmuZlZGhZuVJ01rduFcfOuDg3gweL7mSvXtbz5tC9caOJadOSyM7W8sADuTz6aG6gcJJlYX40f348x47p6NfPwtNPZ9GmTdXHkPx8Nf/3f63x+SSWLTtcr5L+c8HtlgIS8vL52yfPcfuN1crHYZYnNNRzyiy3yyWRkmLi6FEdoaEebr+9gDvvzCcmpvYTN06Hzabijz+CWbEilD/+CKGkRI3R6KV//xKuuqq41v0T0tK0vPhiAqtXh9KqlYMpUzK59FIr2dkaFi6M58cfw4mNdTNuXBbXXXfu+cKyLIqS1atDWbUqhJ07lbn180lxsYpnn62ZpP1csVhUbNtW1mH3m3hqNDIdO5Z12Hv0sNX4vX3iRBCLFgkjudhYYST3r39Vz0iuPLIsxtiWLYtk1SoR1davn4WhQwsYMKBuotp++SWUadOSMJl8vPxyKj17NrxoUz/79wtn9vXrQ0hMdDF6dDbXXVe7zux+iotFfNqvv4bRs6eV2bPTSEpq2HL/uqRBFugnXe8DlA76KbjdYmfaL133R421a+eXrlvo1MleJx8itxv276/YHc/KEjvjOp2PmBg3GRlBGI0+pk5N5/rrz0/mb23z+++hPPVUU/r2tfLaa8drrfOUkmLgySeb4XSqePHF1Fp1cQZITdUye3Yi69aF0KGDnQkTMjEYfIGu+5EjQWzbZiI3V0P5+J3gYC/NmwuJfJlc3knz5q4GYyTW0MjLU/Pmm7F89ZXYzR8+PI97780754W0zyf8IsrPsfs/40FBPjp3FrL4nj2tdOtmDyy08vI0vPBCAitWhNGpk42ZM9NrNKtXFW63xMGDugoGbgcP6vF4xPsnMtJTwcCtUyd7o5SxFhaqWbs2hBUrQtmwIRinU0VIiJeBA4UMvl8/S51udIJY1L70UgLffRdB27Z2Zs9OR62WeemlBP78M/i0c+blcbkkHnywBXv3GvjwwyP1PmtZHlkWHaxTu9qnFt75+RoslspX3UFBvgrRYP7C2z/HXf6yiAhvhS7x9u0GliyJZcOGECIjPdx/fy533FFwXqMGCwvVrF4t3m9//hmMy6UiIsITUHL07Wut82PvmjUhzJmTQHp6EG3b2jlxQofPByNG5PHgg3l1Njte2dx6WJgnsH654gplbr22qC1J+7litapISTEGOuy7dhnweFSoVDIdOtjp00d02Hv0sFbbaGzbNiPz58ezY4eRdu2EkdzZdnZzczV89VUEX30VSU6Olrg4N7ffLqLaamNzs7ySsls3GwsWnGiwEXCZmcKZ/T//CSckpMyZva6ORxs2mJg2rQkFBWpGjcrhvvsu3Pi06lJfLu6fA8mI7ng28CygBZBl+Y2TrvsBSoEOiN2ldeuCWbMmhHXrQrBY1Gi1Pi691FoahWapdZMGEFJZv6t6SoqRPXsMATl1fLyrwux4u3YOtFqZAwd0TJrUlIMH9Qwdms9TT2U1+Izlyvj223CmT2/C1VcXM29eaq0dMLKytDzxRDP27dPz1FNZDB9+7idMt1tIF998Mwa1Wmb0aGHkU9UOcE6Ohrlz4/ntt3CCg7107mwDJI4dCwpsuIDouicmugMFe/mZ95gYpesOYjf/lVfi+OWXMCIjPTz0UA533FFYqxFMeXnqCnPse/YYAgVy69YOIiM9pQseiccey+Hee/POavff4xGZ3eU74/v36wNdydBQD506OejUyU7nzjY6dXIQF1d7iQoNBZtN4s8/g1m5UiiTzGYNOp2Pyy8vYfBgMwMHWupUEbB6dQjPPivyXmUZTCYfo0blMHRo/hk7+rIMzz2XyDffRDJv3gmuvbbuN0mdTomTXcpP7myXv8z/3j2Z8PCKZmknG6iVv9xk8tX4fbdzp4HXX49l/foQIiI83HdfHkOH5tf5xoufzEwtK1eKonzLFhM+n0RCgitg8tajh+28LkxlGX79NZQZM5Iwm9Wo1XKpeiPnvHWzlbn1ukGW4ZNPoliwII7YWOHSXpuS9nPFZpPYvr3MJX7nTpGAIkky7ds76NVLxLr16mU7bbf/ZCO5K68URnKnUxedDo9HbFwtXx7Fn38Go9HIDBliZujQfHr3tp3Vua6wUM3EiU35889g7rgjn0mTshpM/Gd5zGYV77xT5sx+113Cmb2uRtEcDonFi+P45JNoWrUS8WkdOjSczeT6pN466HXBhVigC+m6yCZPSTHi9UpERgp31ORkM5dfbq3VXWavFw4d0gc649u3l3XuNBofHTo4AjFn3brZTjvL7nRKvPJKHB99FE3LluKD15C6ONXlww+jmD8/gVtvLeDZZzNqrRCx2SSmTm3Cb7+FcdNNhUyfnnHWXfrNm43MnJnIkSN6rr66mIkTMyuNyKuM7dsNzJmTwO7dRnr0sDJ5cibNmzs5flx3ilHdsWNB2O1lq0eTyUvz5ieb1Imue0M2O6krdu0ysHBhHH//HUyTJi6eeCKba66pGzmY3S6xa5eBdetC+O67cAoKyqq2qCh3abSbmGNv377y3FqvF44f9xfjQq6+b1/ZBpzJ5KVjx4qd8dqMN2wseDywZYuYpV25MpTMzDKjriFDhBS+NqV4brcwRFq6VBgiybJEx47ChLM6fgeffBLFiy8m8NBDOYwenXNW98HnE5vCJ+dvnxwN5v++pKTyqlKv950UD1axs11+vjsiwlNnReHu3XqWLIll7dpQwsM93HtvHv/3fwXnpUt75Igu4Ly+Z0+Z58HgwaIo79Dh/Hoe+Dl8WMeLLwplRuvWDu67L4+ffgpj/foQLrnEwdSpGeddfqvMrdcOxcUqpk1rwqpVoQwaZGbmzLQG5fVTGQ6HxM6dRjZvNrJpk4kdO4w4naJgv+QSB71720oLdmulnhtOpzhuvvWWOG7++9+FjBpVcyO58hw/HsQXX4ioNrNZQ+vWDm6/vYAbbywiJKR6z+eePXrGjm1GXp6GqVMzuOWWorO+P3WFy1XmzG42150ze3n27dMzaVITDh/Wc+ed+Ywdm3VRrhurQinQGxhuN6SklEnXjx8XxXHbtmXS9c6da0+6XlysYseOstzxnTsNgSxW/+yrP3u8Uyf7WX14/vzTxNSpQrry+OOis9fYpCuvvBLL22/Hcv/9uYwdm11rf7d8xEb37lYWLjxBdHT1u3KFhWpefjme77+PICnJxTPPZJyVZP5kt97bbhNuvSefBGVZ+A2UFexlRnX+mCwQXfeEhIpdd//3sbEXdtddlmH9+mAWLozjwAEDHTsKQ5XazjWVZfjuu3DmzUvA7ZZ4/PFs+vYtYccOYTy3bZuR9HTxmuj1Prp0sdGqlROTyYfdruLgQT179ugDn3eDwUf79vYKJm7Nm7vqJU2hISPLIsd85Urhqn3woIi6at/eXjq3bqFt27MruGRZdG7mz4/n+HEdV1wh5swPHtTxwguJOJ0qnnwyi//7v4IqX5cNG4J59NHmDBpkZsGC1ArXs9ulU+TkpxqoiaK7sFCD13vqg1CpZMLDveWk46dGg5UV4F4Mhpp3uWuTPXv0LF0ay+rVoYSFeRgxIp8778yv09hOWRabdf7UAL9RYteutkBR3qJF/aVomM0qli6N5fPPozAafYwalc3QoQVoNOK+r1wZwosvJpCZGcSNNxYydmxWjc5LtYV/bn3VKqFiUebWq8eOHULSnpOjYdy4bO6+u34k7eeKyyWxc6ch0GHfvt2I3S4OaG3alO+wWyu8PwsLhZHc8uVRBAX5AkZy56LidDgkfvopjC++iGTXrrKotmHDCk5rvvrDD+HMmJFIRISHhQtT6zXetDJ8PvjpJ+HMnp4eRL9+wpm9Lg1lvV748MNoXn01logILy+8kF6j2MeLBaVAbwAUF6tYvz6E1atPla77Td5qIxfR54Njx3SB7nhKijARA7HoatvWESjGu3e31WqnrKhImD/89lsYvXsL84e63JmrbWQZZs1KYPnyKJ58MosHHsir1b//yy+hTJ3ahPBwD6++euKMB0efD77/PpyXX47HalUzYkQeDz+cc85jBOUXbiaTl8cfz+H22wuqtQCy26XSrnvFaLiTu+5GY8Wue8uWYu69WTNnoxyDqAqfD378MZxXX40lM7N2I0kyM7U8/3wi69eH0KuXlRkz0is4z8qyuM769cH88Ucwe/cayMnRljMMlNHrZZo0cdGtm42rriqmb9/zZ4Z2IZGaGsTKlaKzvm2bEVmWSEpyBUzmqitZPnhQx7x5opvZsqWDp5/Oon//skVLbq6G555LZO3aUPr0KWHmzHTi490UFZV1sfft0/Pqq3GYTF7697dQXFxRYl7+c1geo9FbaWfbP7tdvvAOD/c2ig3WfftEx3zVqlBCQryMGJHHXXfl13qEnx+3W6gs/HFoOTla1GqZPn2sDBliZtAgc7VVTXWF1wvffBPBq6/GUVQkNmIffzy70lENm03i7bdj+eCDKAwGmdGjs7njjoJ6fe39c+urV4u5dZdLzK3789Yv9rl1WYaPP45i4cJ44uLczJuXSpcuDasgPBfcbondu/WBgn3bNmNgg7llS9Fh9xvPxcZ6OH5cGMn9/rswknviCWEkd66bzrt361m+PIqffgoLRLUNG1bAP/5RFtXmdsO8eQl8/nkUffqUMG9e6mnjCeuDjRtNvPyycGZv3140Euo6ZzwjQ8uUKU3YvFnEp02fnnFWiUYXA0qBXk8cPx4U6JJv3WoKSNf79xdd8ssvLznnHX6bTcXOnYZy2eMGzGZRaYWGegJz49262ejSxV7nJzZZFkXlnDkJqNUwbVoG//xncZ3eZm3i88GkSU346adwnn02ndtuK6zVv79nj54nnmiO2axm9uw0rrqq8rnRQ4d0zJyZyNatJnr2tDJtWsZZz1pVxaFDOubOTWDjxmDatrUzaVImffqcndRRlsXCqrxM3l+8Z2ZqA27/AAkJrgodd38BHxfXeLvuTqeQjr39tpCOXX99MY8/nn1WkmhZhi+/jGDBgnh8PnjyyWyGDSsgN1dTYWZ8zx4DhYXis67RCHlgp052LrlEeETk5mrYsUNs0lmtYoETE+MO5LH36GGlXTuH0pmqIXl5atauDWXFihD++qvM9MtvMnfZZSWnqJAKCsryzE0mLyNH5pKcbA4U1yd3u/fv13PsmI6y03PlXe7yne2Ti+6TZ7svpI2x/ft1LF0ay4oVYYSEeLnnnjzuvju/2nLUmuBwSGzYIJzX16wRs9N6vY9+/UoYMkT4FDSU7N6tW43MnZvA3r0GevYUo0zV6ZIdPRrE7NmJ/PVXMB062JkyJYNu3eq/6LPZVKxfX/ncenKymUGDLq659eJiNVOnJrF6dSiDB5uZMaPhS9rPFY8H9u41sGlTWcHuH7Vp3txJ796iu67Xy7z3XjS7dhlp314YydWGoq24WMUPP0TwxReRHDumIzzcwy23FDJkiJkFC+LZutXE8OF5jB2b1aDOpQcO6Fi4MJ5160JISBDO7NdfXzejeH5kGX78MYxZsxKRZZg8WcQxN9Z13flAKdDrAb9cGoS5k/9k0rmz/ax3p2VZxKaUFeNGDhwoi9hq3dpRQa7eokX9SVdTU4OYNKkJO3YYuf76IqZMyaiTxVNd4HZLPPFEM9avD2bevFSuuaZ2zZdyczU8+WQzduwwMmpUNg8/nBs4gNntEm++GcuHH0YTHOxl3Lgsbrrp3HeDq0KWhZP9vHnxZGYG8c9/FjFuXNZpfQdqit0uceKEiIY7WTLv3xkHMBi8FWTy/u+bN3eeN3Onc8VsVvHeezF88kkUPh8MG1bAQw/lVnv3OC1Ny3PPJbFxYzDt2gnH27S0IHbvNpCbK1rfarVMq1bOQLSZvyivynnV7znhd4vfts0YGFUwGHx07Vo2x96tW82jcC5mrFZRQPiLN6tVTVCQj0sucdC8uYvwcA87doisYK9XmMB5PBJOZ+Uf6ODgsqLaaPRy8KB43Vu3djBsWD7ffx/B3r0GFi8+Tv/+JRfdaMLBg6Iw/+23MIKDvdx9dz733JNXbTfo6mI2qwJO/+vXh2C3C6f/5GRzqdN/SYPa8MjK0rBgQTw//RROXJyb8eMzueYac40Wxn4TrnnzEsjJ0XLrrQWMGXPqCFR9IebWjaxaFVrp3Hpyspk2bS7cufXt24WkPTdXw1NPZXPXXY1T0n6ueDwiFszfYd+yxRRIgEhMdJGQ4OLwYT1FRRoGDDAzblw2rVufe3NDlkU3+osvIlmxIhSfD1QquOeePMaOzW4wiqOsLOHM/sMP4QQH+xg5Mpc778yv86SI4mIVL7yQyM8/h9Ojh1DQNmnSeBS09YVSoJ8nZJnAAXPhwjjeey8m8DNJkgkO9hEa6iUszFutf/V6H+npWvbtMwS64/n5YpFuNHrp2tUeKMa7drU1uJ1UjwfefjuGN9+MJS7OzezZafTq1XCzIMtjt0s8/HCLUjfgE7U+O+N0Sjz/fCL/+U8E115bxIwZ6WzaZGL27ETS04O4+eZCxo3LOm+LI7td4v33Y3jvvWhUKnjwwVxGjMir04O6LIvNivJdd//3GRkVu+7x8a4KzvJ+yXxDdRbPytKwdGks330XgdHo44EHcrnrrvxKF/XFxWp27dLz+edR/PFHCLJM4LFLkkzLls4KBm7t2jnOuTjIytKQklI2x75/v9jokyQxBuMv2Hv2tDWqMZXaQpahpER1Sme7KgO1oqKqWicyIAWK9latnFXIzIV52smfN58PPv88kkWLhJrC5VIxfXo6t99eu8qehs7hw6Iw//XXUIxGH3fdlc/w4Xm1es7LzdWwapUoyv/+OxiPRyImxh0YY+jTp+GNhzidItXj3Xdj8HrhvvvyuP/+3HPa0LRaVbzxRgyffBKNyeRlzJhsbr21sEFtBlWVt96kiYtBg8wX1Ny6LMNHH0WxaJGQtM+f3/BmnOsTrxcOHChfsBspLhYvvCTJyDL07m3jySez6NrVfk7rBb+6bfbsBIxGGa1WpqBAQ0KCi9tuK+Tf/y6oFx8HOLU5cNdd+Tz4YN55Uff89ZeJKVOaUFCgYdSobCU+rQYoBfp5onyBnpmp5cABPcXFasxmdeDf8t+Xv6yqOBo/KpWM0egjLMxLXJyLhAQP4eEeQkMrFv0nf19bud7nwvbtBiZNakpGhjYQ7dLQFjqVYTaruP/+lpw4oeOtt47SvXvtnhRlGd5/P5qFC+MICfFhsahp1crBtGkZ9O5dPxsZ6ela5s2LZ8WKMJo0cTFxYiYDB1rOexHscEicOBFUrtte1oH3y7VBdID9MvnyBXxD6bofOqRj8eI4Vq8OJTbWzf3359K6tZN9+4Sb+q5dxkAnCITR22WXldC7t5VOnex06OCoU6MrP1arih07xKjM1q0mduwoM5KMi3PTo4eV7t1FwX7JJY1TFu92S6fEgJ3OtdzlqrwiCQnxniQlrygxt1olvvgikp07TYSFedDrfWRni9e4UycbgwdbGDy4Zi7V77wTzeLF8QD84x/FTJ2a0WA6m3XJkSM63ngjhp9/DsNg8Bfm+bU2z3jiRFDA5G3HDgOyLNGsmTMQh9alS+2ZtdYmsgwrVoQyf76InLr66mKeeiqrVlMGDh3SMWtWIps3m+jSxcaUKRl06tQwE1rONLfer9+5jxPWB+Ul7UOGFDNjRnqtq0UuNHw+8d7dvNnEhg3B/PVXcECxZDJ5ufJKC337ihn2Fi1c1T4GO50Ss2cn8M03kVxxhYUXX0zDaPSyenUoy5dHsnFjMBqNj6uvNnPHHQX06nV2UW01xeWSWL48kjffjKG4WMMNNxSd9XhdTXE6RXzaxx+LFKc5c9Ia7DGioaIU6PVAYaGakhI1TZtW7uLqdkvs26evkD2enS2qVq3WR7NmLhIS3ERFeTCZvLjdqkoLe7+0pyoMBt8phXv5f8PCPJUW9iEhvlpdmFitKubOTeC77yLo1MnGnDlp1YoSqm/y8tSMGNGKwkIN779/hHbtam8O3OOBZcuiWLQoDqdTwmj0sXTpMXr2rP/d8Q0bTLz4YgJHjui54goLEydmNojXS5YhL08TKNjLG9VV1XUvP+fu77qfj0W3zSaxb5+YF//jj2C2bjVVkDYnJroIDvZy+LCOoCCZsWOzGDassEEoAjweOHhQH8hj37rVFDg++dU7PXtaS0dq6t7bojJkWWyiVczhrlhkl+96V3Ws1Gp9p8xsn5zFXT4mrKpc24ICNa+/HstXX0USEuLlsceE+aJWC0eOBLFqlTAW27FDdPuaNXMG3L67dq26EExJMXD//S3p2dNGnz4lvPFGLGFhXp57LoPkZEutPJcNjWPHgnjjjVj+978w9Hofd95ZwIgReee8KSHLQh7rL8r97vwdOtgDr0VDl0kfPChi0zZuDKZNGweTJmXSt2/dmD75Z0rnz4+noEDDHXcUMHp0doNT65Wnsrl1rbZi3npsbMOfW09JMTBhgpC0jx+fxZ13FjTo92VDRZbhjz+CeeWVOPbvN6BSyYGx0Ohod6nhnDCea9Wq8s9+VpaWsWObsmuXkZEjcxg1KueUDvHRoyKq7fvvI7BY1LRp4+COOwr417+K6mRszOeDn38O45VXhDP75ZeXMHZs1nnLF9+/X8SnHTqkZ9iwfMaNy2pQYz+NBaVArwc+/jiKl15KoHVrB4MGWejZ04rLJQVmx3fvNgQW6wkJroCrevfuNtq2dVS7w+z1QknJqV35qv4t/70/B7ky/JL8U4t60bU/+d/QUA9hYeJfg0Gu8kTy22+hPP98Ii6XivHjM7n99oZRkJyO9HQtw4e3wueDjz46WuWmS03YudPAzJmJ7N1r4MorLdx5Zx6zZiWRm6vh+efTueGG+jfWc7vh88+jWLo0FodD4p578nn44dwG24lwOkXXvTKjuvL5zXq9j+bNnZUY1bnOutB0OiX279dXMHE7ckQXWAjExrrp1MmOweBjyxYj2dlBGI1ebDY1yclmpk3LaPCLxsxMLVu3GgNF+4EDemRZQqWSadfOETCe697ddtYeBk6nRGGh6GxXLLhPLboLCtR4PJUfw8LDT+1sV5SVl11uMp1bRJjbLfHZZ5G88UYsdruKoUMLeOyxnCqlhf5uX3kpdVSUm+RkYTLXt681oHzKytIybFgrTCYfn312hLAwL/v363jmmSYcOGDgppsKmTgxs9H4e5yJ48eDePPNGH78MRydTmbYsHzuvTevUgfy6uL1QkqKMeC8np4ehCSJfPurrqr9fPu6orhYxZIlcSxfHlnj9I1zxWJRsWRJLJ99FkV4uJexY7O48ca680apLaqaW+/cuSxvvaFtyIh1RhSLFyuS9tpm82Yj8+fHs3u3kfh4F82buzh6VEdOjlhwR0Z66NXLGnCJb9PGyZYtJsaPb4rTKTFrVhpDhpx+U9Rul/j55zA+/zyKvXsNGAxebrihmKFDC2ol3QXg77+FM/uePQbatbMzblz2eYsw878/X3kljrAwLzNnpnPllUp82tmiFOj1wLZtRj75JIotW4zk52vwu/BKkkzz5i769bPQs6eYH69NQ66a4HRKFYr2yor4qr6vLDvXj1Zb+ay9/3tJkvnll3AOHdLTs6eVJ5/MomlTF2Fhviq7U/XN4cM6RoxoSXCwj48+OnLWxZTFouKVV8QiKybGw8SJmVx9tTDzKSxUM25cMzZvNvHAA7k88UR2g1gA5eWpWbw4nu++iyA62s24cdlcf33DX5z5kWXIz9dU6Lj7C/j09KBysWSikC4/5+4v4BMSyrrubrfEwYO6CsX4oUP6wJhKZKSHzp1tdOrkCOSN+52GPR54771oliyJw+cTs+bJyWbGjs2mVavademvaywWVWkeuyjYd+woy69NTHQFNhwvucRBaKiX4uIySXnFrnfZZeU3Usqj1/sqlZSffFlUlIewMM95GaGRZVi1KoSXX47nxAkd/ftbGD8+q0avo9msYt06Ed/2xx/B2GxqjEYv/fuXcMUVZj75JJqMjCA+/fRIhb/rdkssXRrDu+/GEBvrZubM9FpxLK4vUlODeOMNUZhrtTJDhxZw3325Zx1Z5HJJbNwo4tBWrQqloEB0US+7TMShJSebG1wcUlV4vfD11yI2zWxWc/vtBTz+eE69xBbt36/nhRcSSEkx0aOHlSlTMmut6KhrTje3npxsZvBgCz16WOt1fKeoSEja16wJ5aqrinn+eUXSXtv4M8EXL44jMzOIAQPM3HlnATk5msAce0ZGmYmq3S7Sl6ZNy2DQIEu1Z6tlGXbtMrB8eSQ//xyG06mie3crQ4cW8I9/mM9q/PTgQeHM/scfIcTHuxg9Oocbbjh/a7HMTC1TpiSxaVMwQ4YU8+yzF8eoVV2iFOj1wCefRPHiiwlERYnOmcnkIz9fw65dYrbTYPBx+eUlDBokYloa05tcloWMrLIufVWFvf//VS3A/RgMVUnxT52xL39ZcHDtSvIrY+dOAw8+2ILERDcffHC0RuYbsizkSC+9JKSCd96Zz6hROadIn9xuMef01VeRJCebmTs3rcF0rHfsMDBnTgK7dhn5f/bOOr6q+v/jz9ux3XUHjaSUKIpBmT9bFBBBwQIMWhpEkVJJERAVUSwwv3aRKkiHdIxY593u3W7fe35/fLh3G2ywjSXu9Xjw2Nzm8t5zPq/3+xUdOogKn9at68bhrDQ4HKVv3YtKolUqD3q951x4mMJH6gMCXMXS1Nu0sZUaXHfsmIZp02I5eFDPrbfmMXp0Gj//HMTKlWFYrXIefNDIc89l1PpNutUqK7EaLDNTWA+Sk9VkZyuwWBTFhh9FIZNJF3RvlyQzL0w0r133qaNHRZ/5tm3+NGki+swvd4tgtwtSuX59IakEiVatbDz8cE6JlVL79+uYPDmO06c19OuXzahRabXud3UxJCWpWLFCJA4rlRJ9+uTw5JNZhIWV/zlQUCDnzz/9zw07DOTni2HHLbcIZcJNN+XXuYaCnTv1zJ0bzZEjOjp3LmDChJRKtVlVBB4PfPddEAsWRJGbq6B//2yeey6jzqk4ivrW//nHD6ez0LfevbuZm26q3r71vXtFSntWVr2kvTpgt8v45JNQ3n03HKtVTu/eQvkUGurm5Ek106bFsn+/HzqdG6tVnAUMBnexDXtZa0rz8hR8+20Qa9eGcPashuBgUdX2yCM5ZUo6T0tTsnRpJP/7XxB+ftWXzF4U3vo0txsmTEjlgQfq69MqA/UEvQaQk6PAYpETG1v8sO5wyNi504/168WNIT1dhVwu0aGD5Vz6qJmGDWve61tVcLnAbC4k74cOaXnvvXDS09VcfbWFtm0tFBRcSOzz8hSlhjaBCNEzGEon8EVfP/9jtNrSJfnnY9s2P4YNa0irVjbeffd0mW7gZ8+qmTkzmi1bDLRpY2Hq1IuH7UiSSG5+/fVoGje289ZbZ2pNXYXHI3ruFy6MwmhU0Lu3keHDa08Vz+XA7YYzZzTnwtu07N2r58QJre9xp1BIKJUSDoesmNc9IsJ5wca9cePCrbvTCe+9F86KFeEEBHiYODGlWAVSTo6Cd98N5/PPQ1AqRW3L4MFZ1XbgdbvF5qYk0n2+tzs7W+E7rJwPPz93se12cLALlcpDQYGCrCwliYmFOQEKhUTLllY6diyseKvtgwmA7GwFS5ZE8vXXwRgMbp5/vmpkxkuXhrNsWSTXXFNARob43QG0a2fxeaUbNRL3CatVxuLFkXz8cRgNGtiZOTOp0gMtKxvJySrefTec//0vGLm8kJiXt9PaaFT47AJbt4pO+pAQl68OrUuXgmo9xFYW0tJUzJsXyS+/BBEd7WDMmDRuv718tWlVjbw8OW+9FcnatSGEhroYMyaNu+/Oq1XfY1lRk751jwc+/DCMxYsjiYx0Mm/e2fqgrWpETo6C5csjWLs2BK3Ww8MP5/D33/6cPKnlxRczeOqpTDIyVOzYoWfXLrFhP3NGXI/9/Nx06mTxEfZWrawXVW95PCLxfM2aUDZuFI0tN92UT79+2dx4Y/4F23mzWSSzr14tktn798/hmWcyqyWZ3Yu8PDkzZ8bw889BdOgg6tPi42vHefRKQD1Br6WQJDh8WHvOH2Xg6FEdAI0b23z+qKuvrnhvel2B3S5j4UJxwGzSxMbcuUm0bHnhDcpmk10yEd/70jsE8P53aZs8ALX64kn45xP6Q4e0zJkTw7XXFrB06ZlSpUoOh4yVK8N4991w1GqJ4cPT6dMnp8x/z61b/RgzpgEKhcT8+We59traU1FnMslZtiyCzz4LRa/38MIL4merK+nekiQGJ0Vl6ocPa33J5Tqdm1atbMXqzRo0cCCXi79rYqLaVwtXNKiu6NZdo/EQGen0SbfbtSvguecyaN/eWuImLzFRxVtvRfLzz0EEBbl49tlM+vbNKbcUTpLAapUXk5MX9W2f/zajUVFs4OCFQiERHFz6Zjs01OXbggcHu8oUEGMyydm3z9vH7seBAzpfFkZsrKOYj71ZM3utsVE4HGLbsmJFODabnH79shk6NKNKwrL++COAUaMacO+9RmbOTAaExcbroT50SNwnmjSx0bOn2A63bm1l1y4/pkyJJS1NxaBBWTz/fEataPEoitRUFStWhPPtt8HIZBIPP2zkqacyiYwsO/lJTVWxfr2BP/4IZPduPR6PjJgYh29w0bGjpc7eM202GR98EMbKleFIEjz1VCaDBmXV6vClgwe1zJwZw7//6uncuYDJk1No1qxu2XWK4lK+9e7dTTRvXjm+9dxcBZMnx7J5cwC33ZbH9On1kvaawqlTaqZOjWPfPj0ymcQTT4h+85LuQUXl8Dt36jl1SoRN6nRuOna00LmzCPRs08ZWqm0zLU3JV1+F8OWXwWRlqYiNdfDwwzk8+KCRgAAPa9cGs3x5BLm5Su6+O5cXX6yeZPai2LZN1KdlZysZOlQMK+rKGa+uoJ6g1xGkpKjYsMHAhg0B7Nrlh8sl820Dunc3c/31+bX6Rn252LLFnylTYjEaFQwfnsETT2RVygHd4xHyx4vJ8Usj/EUrvUqCQiERHu4kKKg4kS8okLNtmz9Go5IOHQro3z+bhg0dvo/x9y9bMNWZM2peeKEhSUlqJk9O4eGHa1f/8cmTGmbPFlLf5s1tTJyYUqsGCSAIa0qKqhgZP3RI5yPTGo2HFi0EGffK1Rs1spf7kC9JYhp/+rSG48e1fP99EP/+q0Mmo1i3OUB4eOlb96NHtSxYEMU///gTG+vghRfSuf32PEym0sLTim+8c3KUpQZAGgzFU8lLSioPDRWk22BwVzlBdjrhyBEdu3frz/Wy68nOVvm+1/btLedIu1DXVPf1T5Jg/XrhM09M1NCtm4kxY9KqrNHg6FEtAwc2oXlzGytXnipx+5uaKu4T69cHsHOnH263jIgIJz16mLjhBjObNgXwzTchNGtmY9aspGpL9b0Y0tJUvPtuGF9/HYxMBg89ZOTppzPLlL8iSaJuzZu87h1QNGtm85HyVq1sdXJz64UkiQDVefOiSElRc/vtojYtJqZubKo8Hvj662AWLoykoEDBgAFZDB1aewNFywpJEvc47xLF61uPjXX4FI+dOlXMt753r46xYxuQk6Ng7Ng0Hn20XtJeU5AkeP99oWKIjXWg1UqcOKGlVSsrL72UxrXXXjzfIytL4duu79zpx4kTgrBrtR7aty/csLdrZ71gaOp0wvr1AaxdG8L27f4oFBJqtQerVcF11+UzZkxatVsJHQ6hyvrwwzAaNbIze3ZSfVBhFaGeoNdBeMODNmww8Ndfwk+n1Rb61m+5xVxnQm7KA6NRwSuvxLBuXSDXXZfPzJnJREXV3CHF6RSS/JLI++bNBv7+20CDBoJcmUwKcnIUpKWpi9VplQS5XCrTtj4gwI1SKfHee+Hs2eNHv37ZjB+fWqummN5O3jfeEIfLO+/MZcyY9Br5u0mSmG4fOFBIxA8e1JGbK35hSmUhGfeGuDVpUvbWhLLgwAEdU6fGcuKElvvuMzJuXBp6vYfERHWxoLqTJ8XLorkMCoWEv7+wXTgcnAtkLP2xpFR6fOFoRbfbpfm7a9tG9XxIEiQlqYulxZ88KQ47SqVEq1ZWXx97hw4FhIVV3TXw6FEtr78exfbtos7qpZfSqjQpNztbQf/+TXG5ZHz++ckyyb3z8sR1aP16cS2yWuUYDG5atrRy9KiWggIFQ4dm8PTTNbP5SE9X8t574Xz1VTCSBA8+mMuzz2Ze8trg8cDBgzofKT99urjE/9ZbTVeMFezYMVGbtn27P1ddZWXChEsTgtoKo1HBokWRfPVVCBERTl56KbWYnaeuIzNT+NY3bCjsWw8IcHHLLeJcduONl+5b93hg1SpBBqOjnbz5Zr2kvSZRUCBn8uRY1q0L5K67cpk+PRmtVuKnn0SQXFqa+lyQaxpNmpTtmmM0egm7np07/XyNJxqNh3btLL5at3btLGi14p68Y4cfs2ZFceJEYRVc8+Y2+vXL5u6786pt2HXsmIYJE+I5flxL376iPq0u5ZrUNdQT9DoOp1PGjh16X/poWpqoienQwUL37kIKXxs6qisLkgTffBPMnDlRKJUwbVoyd95pqulvq0S89VYEK1ZE8MQTmTRs6GDhwkgsFjlPPpnFwIFZ2O3yi0ryS3tbSZJjL2QyidBQl29rf7Ge+6IvDQZ3lR7SrVYZH3wQzsqVYcjl8PTTmTzxRFaVekCzshQ+Eu79l5Ul2LZCIdGsmY3WrW3nUtWtNG9urzKSmp8vZ+FC4ckMDHRz3325REQ4yc4uuaO7tEwFhUJCJpPOpcIXfxzodB5atxa+7ZYtxc8WG+uos5LesiA3V1FEFq/nwAGd73cXH2/3bdg7drTQuPHly+Kzsgp95oGBwmf+8MNVa99wOmU8/XQjDh7U8eGHCRU6sNtsMrZuFSFpGzcayM1V+g56sbEOZs1KpFOn6tmCZGQoef/9cL78MhiPR8b99xt59tnMi26EnU7YtcvPJ+XPyFChVEp07iyS13v0MJVLCl/bkZenYMkS4X01GNy8+GIGvXvXHZvQxbB/v47XXhM1otdfn8+kSSlX1BkFhG99yxbhW9+0qdC3ft11BfTsWbJv3WhUMHlyHH/+aeC220RKe10L17uSkJCgZuTIBpw9q2H06DQGDswuNkyy2WR8/HEo770nrE0PPyyC5Mpb+5iXp2DXLr1vw370qBaPR4ZK5aFZMxsFBQrOntUQEeFk+PB0evXK45dfglizJoQjR3T4+bm5555c+vbNoXnzqrGPeDyiHnrRokgMBg8zZiRxyy319WlVjXqCfgVBkuDIEa1vinv4sJD7NWpk90mu2rWrux68ojh7Vs3EiXHs36/n3nuNTJqUWutSeCUJXnopjl9/DQLg2mvzmTIlpcyT1pLg8QiyVxJx9x7A9XoPV19tweUq7sv3eqhLg7//pTf2Jb3U68veFZ2crOLNN6P4449A4uIcjBuXSvfu5sveouTmCjLu3Y4fPKgjPV2QcZlMokkTezHPeIsWNt90uiKQJKFkOV9OXrQazEu8MzIUWCwln6zVak+Jm23vVrvopjs42O3zrDmdMhITVb5t+4YNQt57fsWhWu2hQQPHBZL5Ro3sV6Sf0eGQceiQCPHbvduPvXv1GI3idx8Y6PLVuwlZvLXMAyKHQxzGVqwIx26X8+ij2QwZUjU+86KQJHjllRi++iqEN944WynDSJersPv7p58CyclRARKxsQ769cuhVy9TlQT9ZGUpef/9ML74IgSXSxDzZ57JLDXk0maTsWWLP+vWiaGCyaREq/XQtWs+t95q4pZbTFX++69uuFzw5ZchLFkSgdmsoE+fHJ5/vmZq06oSbjesXRvCW29FYrXKGDQom2eeybgit3Fe37p3ieINdSzqW8/PVzBuXDw5OQpeeimNfv3qJe01iXXrDEyeHIdGI/HGG4lcd13pqpXsbAXLlkXw5ZciSO7ppzMZMCC7wucLs1nOhg0GVq0K4/hx7bm3ivDUq68u3LB36GDhxAkNa9eKqjaHQ06nTqKq7bbbTJVWS5yWpmLKlFi2bfOnRw8T06cnl3sIUY+KoZ6gX8FISyv0re/YUehb79ZN3BRuuKFu+9adTlixIoIVK8KJjnYye3YSHTvWDo+zxSJj+fIIPvooDIVCwuGQM3VqMn36VK1PfPduPaNGNcDplPHmm4nFZLdOp4y8PHmJvvqLBevl5SlwuS4mpRYp+eUh98eOaVi2LIJTp7TceKOZ8eNTy7xFMZvlF2zGk5PVvvc3amSndWurr2e8dWtbmRL17XZZiZ7tkgPUSv6dyGQSQUHCtx0Y6CI7W8WZM2r8/T3cf7+Ra68tKObt9vMr+3CjLL+XDz4I46OPwnC5oHNnC02a2EhNFfVwSUlqXx87QGiok0aNHMW63Rs3dhATc+Vs3SVJZDV4g+f27NH7JNEqlYfWrW2+4LmOHS0XHDy8PvM334wmKUlNt24mxo5N86WkVzU++SSEOXNieOaZDIYPz6j0zy9JsH27H6+9Fs3p01rf25s3t9Grl4mePU20bHl5Hu6sLAUffBDO2rUhOJ0y7r03l2efzShxCGAyydm0SXjoi8ryvcnrN9yQf0WSOBAy1jlzojh2TMd11+UzfnwqV11VdwPVyoLsbAXz50fx3XfBREc7GD8+lZ49L39gW1vh9a17lyj79+u978Hf383o0ek8+KDxilBK1EW43fD22xG8+24EbdpYWLgwscx2vIQENQsWRLFxYwDR0Q6GD0/n//4vr1yqLe89fPVqcQ/v1y+HAQOyOXVKw44dYsN+6JAOl0sQ9tatrXTuXEDLllYSEzV8+20wSUlqQkJcPPSQqGq7nKyKn38OZMaMGFwumDAhjQcfNF6xz83aiHqC/h+B2Vzct242C9/69dfn06OHmW7dTHXWt753r44JE+JJTVXx9NOZDB2aUam+4fJiwwYDs2dHk5qqpnfvHF54IZ2XX47lzz8NvP56YpVL8pOTVbz4YkNOntTw0ktpPPZY9mVdVEXytwyTSVmE0F8YrCdeKjGZ5L6XZvPFJflKpYTbLb5GZKSTFi1shIQUrbnzkJ8vJzNTRWqqytel7UVsrIPWrQsD3Fq1svo2wx6PkI8VrQG7GPEu6vcuCq3WU2yTff5mu+jbgoJcKJWwY4eel1+OJTFRQ9++2YwalV5tPrGMDCXLlkXwzTfBaLUeBg3K4vHHs1CpJJKS1Oc63b0J8+K/vVtmEMS1cOteuHFv1Mh+RWwsjUaFL3Ruzx49Bw/qcDrFKapRI7uPrAcGuvj441B27vT6zFPp2rX6/L9bt/oxbFgjbrnFzMKFZ6s0lE+SRH/1rFnROJ0yoqOdJCaqkSQZ0dHeFHQzHTuWPfQqO1vBqlVhfP55KA6HjHvuyWXIkEwaNCg+3MjMVLJhg6hD277dH5dLRni40xfy1rlzQY1ez6saKSkq5s2L4rffAomJcTB2bBq33nrleLPLgt279cycGc2xYzpuusnMxImpFzxOrjQYjQrGjo1n+3Z/wsKcmEyKCvnW61E5yMuTM358PH//beDBB41MnpxSIQve9u1+vPlmFIcP62jd2srYsamXDMd1OmWsXRvMO+9EYDQquesukcxe0hDTYpGzd6/OJ4n/918dLpccuVyiRQsbMTEO0tNVHDqkQ5LgllvM9O2bw4035pf5HmIyifq0n34Kol07C7NnJ10Rz0eHQ4ZMJtWZ+0k9Qf8PwumUsXOnqArZuNFAaqrwrbdvX+hbvxwZdk0gP1/O7NnRfPddMG3bWpgzJ6nag4JSU1XMnh3Nhg0BNGtmY9q0FN9G32qVMXRoI/bv1/HWW2e56aaq9e9YLHImTIhjw4YAevfOYfLk1EqTPJUHHo8YDplMxYm7eCmIfUaGkr179aSmqpHLRUqpwyG/aP0dCOKs03lQqSTkcunc15PhdMqw22VYrfIShwMymURwsPuCWrDzE8u9by/Pxs5ikbNgQSSffx5KXJyDV15Jvqg8riqRkKBm8eJI1q0LJCzMybBhGTz4oLHEm1NurqLEarjzt+4hIa4i2/ZCyXxsrKPObn3sdhmHDhWmxe/ercdkEj+MTCbRvLmNu+7K45prRFZBdYTpnTmjpn//JkREuPj444RqO6SnpqqYOlXIGa+7Lp9bbjGxc6c/W7f6Y7fLCQwUCqyePU107VqyAstoVPDBB4KY2+0y/u//8hgyJKOY6iAxUc26daIObf9+HZIko0EDO716CVJ+9dXWWlOjV1Uomsshk8GTT2YyeHDWZVlv6jJcLvj881CWLInA4ZDx5JNZPP105hX5+9i9W89LL8VjNCoYPz6NPn1ysFpL9q1XR9/6fx1Hj2oYObIhaWlKJk5M5ZFHLm9T7PHAjz8GsnhxYZDc6NEXNnxIEvz2WwCLFkWSmKjhuuvyGT06rVw5I1arjP37hYd9xw5B2EUOi8gjKihQYLPJiY520LevqGq7mER9xw4/Jk2KJTNTxZAhGTzzTN2vT8vJUbBmTQhr1oQwZkw6996bW9PfUplQT9D/45AkkUjslcIX9a137y586+3b1x3f+q+/BvDqqzE4nXLGjUuld++ql+Q4nfDpp6G8/XYEIGPYsAwGDMi6gAiZzXKefLIxp09rWLHidJXL8T0eWLJEyLWuuaaA+fPP1hrvkMMh4/hxDf/+q2PPHiHbOnNG7SPUgkS70Os9eDxgs8nJz5fjcJT8QJTLJd+BXmzkL761L7vH3kVAgIeAABeBgZ6LDjn++ceP6dNjSUlR8dhj2bz4YnqtkOPu3atj/vwo9uzxo1EjO8OHp5d5Q+d0QnKyd+temDJ/+rSGnJzCu7ZS6d26F27cvZL5wMDa8Zi7FBwOGatXF/rMr7sun+BgNwcP6jhzRsji1WoPbdpYfcFzHTpYKt0fbDbLeeyxJhiNSj777GSpHu2qgscDa9aEsGBBFEqlxKRJKfToYWLrVpEIv3FjgE+B1bVrPj17mujWzQzAhx+G8emnIVitcu66K4+hQzNo3NiBJMGxY1r++EMkr3u9la1aWX3J602bVk5/dG2HJIn71Lx5UaSliWaL0aPTiY6uG7VpVY3MTCVvvhnFTz8FERvrYOLEVN/jq67D44GVK8NYsiSSmBgH8+Ylllh16M2J8Fa4FfWte5coldW3/l/Hzz8H8vLLsfj7u5k//ywdOlReWOb5QXKPPJLDsGEiSG7nTj3z50fx7796mjWzMXp0GjfdlH/Zf1O7Xcb+/WLDvmuXsHUVDZ2Vy0WI9JNPZnLLLYVfz+GQsWRJBKtWhdGggYPZs5O4+uq6XZ924oSG1atD+eGHIBwOOTfdZGbIkIxK/RtXJeoJej2KIS1Ndc4fZWD7dj9cLjnBwS5uucV8rku39nsA09KUTJkS5wu1eOWVZIKDq4Yk7Nun49VXYzh2TEf37iYmTky9qOcnK0vBoEFNyMlR8sEHp2jRouorVH78MZBp02IJD3exePGZKvU1SpLYInsl5Tk5SjIzlZw4oeXUKQ0pKSqys5VYLHLOTyE/7zMBEBjopnlzG5GRxbfaoaGFoWrBwa5imzwhyS9Ngl+yx97rwff2n5cGnc59jrAXkni93s2xY1qOHdMREuKiX79s2re3FiP3BoOnRjeCkgQbNxpYuDCShAQt7dpZGDUqjc6dKz4kystTcOrUhZL5s2fVxfz5wcEun8+9aK97bKyjVkjNJAn++EMQpuRkse0YM6a4zzw72yuLFweeQ4e0vp+xSRObj6x37GihQQNHhQ9Zbje88EJD/vnHnxUrTtdopdaZM2qmTIll714/brstjylTUggJcfsS1devF4nq6ekqZDIJmUwQkO7dzYwalU7Dhnb27dP7kteTkoRSq2NHC7feKvztsbH/LVJ69KiWOXOi2bnTjxYtrEyYkHpZz8ErGdu3+zFzZjQJCVq6dzcxfnxqtQ+rKhNGo4KJE+P4+28Dd9yRx/TpyWUKti3at75xo8HnW6+MvvX/MlwuWLAgio8+CqNjxwLmzUssU31lRVA0SE6j8RAV5SQhQUtEhJMXXkjnvvtyq2wJ5nDIOHBAEPbNmw0cOFAYJqtWi0DhG27I5+efAzl5Uscjj+QwdmxqrT/nlwZJgr//9mf16lC2bDGg1Xq4995cBgzIpkmTupXpUU/Q61Eq8vPl/PWXPxs3BrB5s/CtazRFfetmwsJqp+SqaC1EYKCbGTOSK1VWnpcnZ9GiKL78MpiICBcTJ6aUOdwmJUXFwIFNcLvho49OVYu358ABHcOHN6CgQM6cOUn06FH2jYTTCbm5ymKku6RqMO/bL9bzLpNJ+Pl5CAlxERPj8MmkC6XmQmYuk0m8804En30Wik7n4fnn0+nbt+prhtxuyM8vG7E3mRSkpKhIT1fh8cDFBg4ymQjSO5/cF5L487f3YmMfECCGD5W1KXG54Lvvgnn77QgyMlR062Zi5Mh0mjWrvBuXyyW27kU97t7Ne/Gtu0Rc3PkhdeLxUF2p1YcPa3n9dUGYmjWzMW5cKjfccGlSbLOJQ0+hl93PN9wJCXHRsWOBb8veqpWtzPaS+fMj+eCD8GoJlCwL3G6xFV+yJAKDwcO0acn06iWuHSaTnI8+CuOjj0KxWhX4+bkpKBC/g6Ag1zmbiQKl0sP11xdw660munevu1knlwOjUdSmffllCAEBbl58MZ3evY11RplWU3A6xQZy2bJwPB4ZTz8tbABVWc9ZFfBK2nNzFYwff3kS6tL61m++WfjWb7qp3rd+KYi0fOH/f/TRbF56Ka3KLYAZGUrmzIni998DARkGg5uXXkrl/vtzq3V473SKx+Nnn4Xyzz/+vms2QEiIkx49zFx7bQGdOxfUqepKm03GDz8E8fHHoZw8qSU83Mmjj+bwyCM5dbYFo56g16NMEE9qP58UPiVFbEOuvtrqm+I2aVL7JFdHj2oZPz6Okye19O+fzahRaZddr/XDD4G8+WY0eXkKHnssm+efzyhTSnhRJCRoeOKJxvj5efjww4RquRCmpysZMaIBhw7pGDIkg7vvzsNovDC1vPB1Qbxzc0tmxQqF51yQm/h92mwiSM7rWdZoPDRubD8nCS6gQwcr8fGOct2MTp7UMGdONP/8I4K6Jk1KrdGtohd5eXLeeCOa//0vmCZNbLz6ajItW9oumoZ/sdT88+vRikKp9FxSih8Q4DlH9oum6JcuybdaZXzySSgrV4ZTUCDnvvtyef75dKKiqvZxmJcnLzGk7uxZtS+oDQTBK+px95L4uLjK2bpnZSl56y0RpBcU5OaFF9J56KGKpyd7POI57fWx79njR1KSCDPUaDy0beuVxRfQvr2lxLC9774LYvLkOPr1y2by5NTL+fEqHcePa5g8OY7Dh3XcdZeRmBgna9eGYjYr6NHDRKdOBRw6pGPTJgMWi+JcxzqA6Fn3bszrkl2qMuByiTqxt9+OoKBAQb9+2QwbVvX1fFca0tKUvPFGNL/9FkiDBnYmTUrlxhtrfw9zUUl7bKyDN98sWdJeUVysb91b4VaXSFZ14OBBLSNHNsBoVDJ1agr3359bpV8vP78wmd3phL59c+jcuYAVKyI4fFhH27YWxoy5PDVbRZCWpmTy5Di2b/cnJMRJbq4Sj0d27totziPx8XZfrVvnzgWXlQhfVcjKUvLZZyF88UUIRqOSVq2sDByYzZ135tVI7lJlop6g16PcEH7CQsnVwYNCctWggd13U+jQwVJrJFc2m4yFCyP55JMwmjWzMWdOUoWk5adOqZk5M4Zt2/xp187C1KkptGxZ8ZvtwYNannyyMdHRTlatOnVZUz6nU1ZCPVjxbXd2tviXmaks1aNtMJzfxV0oJwcJo1FJWpqKM2c0HDum9W0NNRoPLVvafNVmbdtaadTIXimHcW/V1RtvRJOcrOaOO/IYMyatxjybGzcaePXVGHJylDz5ZCZDhmRe1kZHkqCgQF6MvJdE6Esi96Ulz3uh013cZ69USuzY4ceWLQZkMon77zfy1FOZxMS4qnWq73JBSor6gqC606fVZGcXMnLv1r1or7uXvJfFxmK3C5/5u++G43DIeOyxHJ59NqNKOuEzM5W+0Lm9e/UcOaLzDa+aNbP5JPEdOxaQna3kyScb07GjheXLT9cK6f/5MBoVjBkTz44dfoAIdQsPd/Lvv8LjGBzsokcPEfLWpUsBJpOCjRtFZdq2bX44nXJCQsTH9OwpPqaubULLg23b/JgzJ5oTJ7R06ZLPhAmplapU+S9iyxZ/Zs+O5vRpDbfemsf48WllrsGqbuTkKJg0SUja77wzl5dfTimTpL2iKM233qZNoW/9qqtq3xKlOvHNN0G89loMoaEuFi48S+vWVWcxdDrhyy9DWL48gpycC5PZPR744YcgFi2KJCNDRc+eJkaNqp4Kz19+CWDGjOJZTUajgm+/DWbt2hCSk9Xo9W7Cwlzk5CjIzxeH+dhYB9dcU+Aj7HFxzhp7PB09quWjj0L5+edAXC4Z3bqZefzxbDp3LrhiHuP1BL0el420NCWbNgX4fOtOp5ygIK9v3UzXrvnl3jBXBf7+258pU2LJy1MwYkQ6Awdml4mE2O0y3nsvnPffD0OrlRg5Mo2HHzZWCoHZvt2PYcMa0qKFjffeO+37PUkSmEwKn6T8/Gqw8zfepXmn1WqPrwaskGy7OHFCy19/GWjUyM7EiSk0ayYIjkolIUli2+7tGPd2jns36UqlhxYtBBlv08ZGmzYWmja1V/lAxmaT8cEHYbz/fjgyGTz9dCaDBlWf3DE3V8Hs2dH89FMQzZvbmDEjqVxpq1UBlwvM5kuT+vPJvckkkl1Lg1eSHxhY0rb+4q9rtZUnyQchpfZu3YsG1Z05U3zrHhjoKkbYvTVx8fEOlEqJ338PYP584TPv0UP4zKuz6cFikXHwoCDse/bo2b9f73veymQSWq3EU09lcuON+bRoYa01JL2gQM4nn4SyalUYZrMCf3/XucGQDL3ezb33GrnjDhMdO5Y+lPXapdavF3apggIFer2bm24SIXM332yukiFJTSApSdSm/fFHILGxDl566cru9q5uOBwyPvwwjBUrxH1gyJAMHn88u1Zty3bt0jNuXOVI2iuC0vrW/6u+dadTxty5UaxZE0qXLvm88UZileUSSRL8/nsAixdHcuaMhmuvzWf06HTati05mMxqlfHxx2G8914YDoecPn1yGDo0o0q+P7NZtB19/30w7dpZmDXrwrYjj0ecldeuDWHTJgMyGXTqVECTJnays5Xs3u3nq2WNjHT6yPq11xZcVv5KWeDxwJ9/Gli9OpRt2/zR6Tzcf7+RAQOyq721qTpQT9DrUanIz5fz999e37o/JpMStVr41rt3N9O9u7nKgjjKgpwcBdOnx7JhQwBduuTz2mtJF5X1btnix8yZMZw9q+Huu3MZOzaVsLCKXTjtdlmJBHvPHj2bNhkICHATGen0+b2L1lsVRVCQq0gPtyDewcGF4WlFK8P8/DylXjDXrTMwcWIcer2HJ5/MJD9fycGDWg4e1Pm2lgqFqJnybsbbtLHSvLm9WqqmSkNKioo33xRerthYB+PGpdKjR9UegH//PYDXXovBZFLwzDOZPPNMZq06EFYEdrvsAhJ/9KiWn34K5NQpLXq9m2bNbPj7ey4YAlysAk+lKl2SX1yCf+H7ykNK3W6xdT91qni6/OnTarKyCj+RXC6hUknY7WJweN99Rnr2NNO4sRhK1RRx8niEimb06AZkZioJDXWTkSG+b53OQ9u2IniuUycL7dtbMBiql8BaLHKWLIngiy9Cig1zmja1ccstJjIyVOeStp3MnJlEp05lk2g6HDK2bxchcxs2GMjKUqFUSlx7bQG9epnqrCzXYpHx/vvhrFoVhkIhBohPPFH3/NJ1BcnJKl5/PZr16wNo3NjG5MmpdOlSs/Ynr6T9rbciiY8XkvbLUdlVFjIzlWzaJMJ///nH/z/lW8/MVDJ6dDx79/oxeHAmw4enV9lgYvduPfPmRbF/v0hmHzUqjZtvLlsye1ZWYZCcXu/hmWcyeeyx7Eq7fuzcqWfy5DjS08ten5aSouLLL4P56qsQcnKUxMfbefhhIx06FHDsmLeLXe87L4aHFxL2zp0LaNy4cgi7xSLj+++D+fjjUE6f1hAZ6aR//2x69865ou1C9QS9HlUGpxP27Cn0rScnC09mu3aFkquaqNaRJPj662Dmzo1GpfIwbVoKd9xhKvYxWVlKXn89ip9/DqJhQztTpqRw/fXFb/4ej0iyLtxkny8xLy4zLxrGURTePm+jUUlYmJMbb8wnLMxVbOMtiLeboCDXZd1cjEaFbyN+8KCOffsKybhMJtG0qd1HxNu0sdKiha3W9tD+84+QkJ48qaVrVzPjx6fSpEnlTlGzsxXMmhXDb78F0qqVlRkzkqsleb+msX27HwsWRHLggJ7mzcVBw1sB4/GIreql/PYlvV7ac8ALvf5iPvvS3+fvX3wQZTbL2btXz/vvh7Nrlx6VSiIoyE1enqJY5UxAgIvGjS+shouPd1T5AEaSYPz4OH75JZDFi8/SvbuZjAzludA54WM/elSL2y1DJpNo1sxeLHwuJqby5YWSJA5yy5ZFsGuXn28Q06yZjXvuyaVXL1MxCebOnXqmTIkjJUXFE09k8cILGeU6UHo88O+/OtavF/Vr3jq7q6+20LOnkMJX9nO6siFJoqpp/vwo0tNV3HVXLqNHp1V5nkM9BDZv9mf27BiSktTcdVcuY8ak1ciAp6ik/a67cpk2rWol7RVFUd/65s0GcnOvXN/6nj16Ro+Op6BAwauvJnHnnaZL/08VQEKCmoULo9iwIeCyk9lPntQwf34kmzcHEBPjYMSIdO68M6/Cik2nU9SnffBBGPHxoj6tXbvy1Yw5nTL++COAzz8PYfduP9RqD3fckUffvjlcfbWV06fV58i6qHbzDppDQ51cc43Ft2Ev73k/PV3JZ5+F8sUXwZhMStq2tfD449ncemterVGYVSXqCXo9qgWSJIKGNm4UW5MDB4TkKj7e7iPrF5NIVgXOnFEzYUIcBw7oue8+IxMnpgISH38cxgcfhPl6E9u0sZCXd36ImoLcXGWJ4V5yuSADRWvBiiaUF/0XGur2ydo//jiUuXOjeeABI6++mnzZh2+TSc7hw4KIHzggpOreIQmIrvs2baw0amTj998DOXZMhMc991xGjVaClQdOJ6xZE8rSpRFYrXIeeyyboUMzLvtgJEnwyy+BzJ4dTX6+nGHDMhk0KPM/cVPwwtvXvHhxJImJl5bqlQVOZ3FJ/sU89ud/TFFifT4UCm9KvhuDwU1+voKkJBUej4yrr7bSrZuJ8HAXBoMbl0vmG6ylp6s4e1YE1WVmqop9vthYR7GgOi+BDwmpnK37u++Gs3hxJCNGpPH001klfozFImf/fh179ggf+759et+QIyLC6fOwd+hgoUULW4Wuny6XqE379dcAfv45yJdrEBjo4sEHhXzwYgf2ggI58+ZF8cUXITRtamPmzIpZPyQJTp3SsH69gXXrAnz3iEaN7PTsKbztbdtaa9W16fBhUZu2e7cfrVpZmTgxlY4d62vTqhte+9N774WjVEo891wG/ftnV9v1eudOPePHC0n7hAmpPPxw9UraK4qL+dZ79Ki7feuSBGvWhDB3bjTR0Q4WLjxbJfWymZlKli2L4Ouvg9FqPTz5ZBYDB2YVq32tKP75x49586I4ckQEyY0dm8Y115Tv2nLypIYJE+I4ckTHww/n8NJLaZdtNz1+XMOaNSH88EMQBQUKWrWy0qdPDv/3f7no9cIimZioZscOP9+GPS1NnDuDg11FPOwWmje3lXg9P3hQy+rVYfz6ayAeD/TqZWLgwGw6dLDUucfi5aCeoNejRpCRUbwqxOmUExhY3LdeGZIrt1t4h0vbbGdmKjlyREdGhvdkW/Kz38/PXUxSfn4nd9G3Bwa6KxyO9vbbESxfHsETT2QxZkxamS9GBQVyDh/WFvONe7dRAHFxDl94W5s2Vlq1shaTzDocMmbMiOHbb4O59dY8Zs5MqlM9mNnZChYvjuSbb4IJCXExalQ6995bsfqSzEwlM2bEsGFDAFdfbeHVV5P/0+FOTqeML78M9oXd3H57HiNGpFdLPWBR2GyyS6bjHzum5dAhHXa7HJ1OSObz8+UXleRrNB4fsVepCvu87XY5+fly8vKK2038/Nw0bOigaVMbTZoUBtXFxzvKbP1Yv97AiBEN+b//y2XOnKQyP8/dbjhxQuvzse/dqyc1VRx+dDo37doVTYu3lnoNtdlkbNniz7p1IujTZFICEiCjWTMbY8emlTsl+6+//Hn55Viys5U8+2wmzzyTcVkEKS1NycaNokN9xw4/XC4Z4eHOcyFzZq67rqDGbCY5OQreeiuSr74SLQDDh6fz4IP1tWk1jcRENbNnR/PnnwaaNbMxeXJKlaZjezzw/vvhLFkSQYMGQtJeVxVWkiSaKLyKx7rqW7fZZLz2Wgz/+18wN99sZs6cxErPtygokLNqVRgffhiG0ymjb99snn02k5CQyvWNezzw/fdBLF4sguR69cpj5Mj0SwbJeTzw2WchLFgQhZ+fh+nTk8tVrVsWFBTI+fHHQD7/PJTjx7X4+7u5775c+vbNKdY3LknCjuIl7Lt2+fkWRQEBLjp1snDttQV06lRAaqqKjz8OY/duP/z83Dz4oJHHHssmLq52BkFWNeoJej1qHBaL8K17JVfeqpAuXQro0cNE9+5mIiLEBkeSxMcX7eQuLTwtJ0eJ0agoMbFcoZB80vHAQDeJiWpSU8VpsmVLK8OGZRAeXphoXl0yb0mC2bOj+eyz0FI3a1arjKNHtcUC3BISNL6fMyrKUSzArXVrW5kS4iVJdMfPmxdF8+Y2Fi8+WytrNS6GAwd0zJoVzb//6mnXzsKkSSll3uZJkrgZzp0bhc0m54UXMhg4MKvWH0iqC4WHklCcTjm9e4swm4pmMlQmDh4Ufea7d/tx1VVWxo1L8/lRPR5B0i8VnFfSRt9iKQ/jktDphP8+NNRFVJST+HixfY+NdfoC9zIylDz7bCOaNrXzwQenLvvakpamKiKL13PsmNZXl3PVVTafJL5ZMytHjwo5+V9/GbBa5Wg04uBqt8u57rp8XnwxnQ4dKq6QyMuTM2dODD/8EESrVlZmzUqqlOGWySRn82bDue/dH6tVgb+/m5tvNtOzp/DQVoec+HzFjrc27UoJuLsSIEmwYYOBuXOjSUlRc889QvYeFla5su3sbCFp37JFSNpffjnlivJxZ2V5lyjFfeu33JJP9+6107eekqJi1ChRJTtsWAZDh1auGtDphK++CmHZMjGsvuOOPIYPr/phtdUqY/XqMN5/Xyg7+/bNZsiQzBKD5DIylEydGsuWLQZuucXEK68kV+k9WpKECuPzz0P4/fcAnE45116bT58+OfTqZS5xiJqaqmLnTj927PBj+3Y9ycmFyySNRmRWDRyYxTXX1J42qJpAPUGvR43D6cQXjJaZqWD3bj9279Zz7JjOl3Ks07lRKkWwVWlSV4OheGBaydtu8baAACFTXbcugNmzo8nMVPLAA0asVjm//BJEu3YWZs9OqvYtIQhCMWlSHD/+GMTEicm0a2fzbcYPHtRy8qTWJ60PC3PStm1hgFvr1tbLvhj/9Zc/L70Uj1otsXDh2Ton2fR4RKf0ggVRGI0KHnrIyPDh6RedbqelKXn11Vj+/NNAhw4FvPpqMo0b127va00hK0vJ8uXhfPllCGq1h0GDsnniiawaOaxlZipZvDiS//0viOBgNy++WLmbTKdThskkL5XYZ2crSUlRkZmpxGhUkp8v0vHdbihNjSMg4e/vJjS0bB77oh9zKY93fr5XFu/H9u1+/PuvrljavVrtISJChFHm5yu47rp8nnsuo9zyyYvhjz9EjY/ZLOfFFzN4/PGsSvub2Gwytm3zZ/16Axs3BpCTUzjQ9YbMVcWBdMsWP15/vTDzYty4NJo2/e8qa2o7rFYZ774bzgcfiPaVF15Ip2/fnEo58O/YISTtJpOQtPfuXTck7RWFxSJn61Y/XwtDUd96z54munUz17hv/Z9//Bg3Lh6nU8bs2Ul07155G2NJEmfFhQtFMvs11xQwZkwaV19d8WFmRZCVpWTp0gi++ioYPz8RJNe/f2GQ3G+/BfDqqzE4HHLGjq3+9oDsbAXffBPMl1+KqrawMCcPPWTkkUeMF9QhpqSo+PTTUL7+OhizWUHDhnaiox2kpqp96k+93k3HjoU97G3a1J52k+pAPUGvR6VDksQh8fzNdmkyc2991/lQKj0+ubjVKveR9cBAF61bW+nSpYBrr80nIkKQ8fIkiycnq5g1K5rNmwNo0cLK1KkptG8vLra//BLAq6/G4nLBhAlpPPhg9VzknE44eVJsxv/9V8evvwaSny/He9APDnYVC3Br29bqUxZUNhIS1Lz4YkNSUlRMm5bCgw/mVsnXqUqYzXKWL4/g009D0ek8PP/8hQc0b2Dgm29G4XLJGDEinUcfza6XqpYBp0+rWbw4kt9/DyQkxMXQoRk8/HBOtdxAbTaxUXj33TBcLhkDBmTzzDOZ1Z50XhrcbpFxcfCgjhMnRK97UpKahATtebkVEhqN5NsyuFycS0wv/YKj1Xoumobv8cDp0xqOHNFy6pRQ1kREOGnQwE5mporERLVP8q/VuunY0eoLn2vXzlpplZjZ2QpefTWW9esD6NixgNdeS670gafbLbY33pC55GQ1MplE+/YWevUSUvjL/ZqJiSrefFOkhcfFidq0qm6NqEfl4fRpNbNmxbB1qz8tW1qZPDmlwioRj0dkRyxd6pW0n6VFi//WkMblgn37Cn3rZ8/WrG9dkmDVqjAWLoykcWM7CxeerdQu8T17RDL7vn16mja1MWpUOrfcUrPP/5MnNcybF8WffxqIjXUwZEgGO3b48f33wbRtK5ZL1dGnXhrcblHVtmZNCH/+Karaunc307dvDjqdm08+CeOPPwIAuO22PAYOzC4WXJeZqWTXLr0veO7kSS0g2k06dCgk7G3bWmu0UaiqUU/Q61EmOJ2yYonk5yeUn//2ohuboggMdF3g5S7q4y7cfrswGIonM5dWFVIeyZXTCR99FMby5RHIZBIvvCDCZM6fqqelqZg8OZbt2/3p1SuP6dNTyiQTLyvcbhGIVDTA7cgRrU8dYDC4adXKytmzajIyVLzyShL3359XrTeFvDwFY8bEs22bP48/nsXo0Wl1krgmJGiYPTuaf/7xp1kzGxMnpnLddQWkpKiYPj2WrVv96dxZbM3j4+u35uXF/v06FiyIYudOPxo0sPPii+nccYepSh6r3uC6BQuiSElR07OnibFj02r9302SYMaMGL74IoTp05No1cpWpBpO1MSdOaMpVmem17uJjnYSFiZUQX5+bjQakMs9FBQoMZmEPz4vT052thKTSYHLdWk9p1rtISzMhVbrweGQYTYLVQCItPjYWCctWlhp187KtdeK/lu9vvS6xkv93D/8EMjs2TG4XDLGjEmjT5+cKntsHDumZf164aE9fFgHiAR6byJ869a2Mn9ti0XOe+8Jn6lCIfHss5kMHFh5tUf1qD54u6nnzo0mI0PFgw8aGTkyrVye4exsBRMnxrN1qz//938ipb22SbyrG0WDHTdsCODff3VIkqyYb71jx4IqG9paLHKmTYvl118Due22PGbMSK60v0lCgppFi6JYvz6A8HAnzz+fwf33G2uV5HrrVj9mzIg5F+4ncf/9ubz8cnKt2jInJ6tYsyaEtWtDfAGnGo2H3r1zGDQom+joS9sos7MV7Nrl5yPsx49rfZ+nfftCwt6unfWKuj7XE/T/KCRJ+PqKE+vSibd3e30+1GrPuSowd5Fu7pKTy4OD3ZUW6nMxyVVpVSG7d+uZMSOGEye09OxpYuLE1AtkN0Xh8cCHH4axeHEEwcFuXnstia5dy9+z6vEUbtO8vvHDh3VYreIwrde7ad3a5tuMt2ljJT5e9EeazXKeeqoxp05peOed02XuGq4sOJ3wxhvCE3/TTWZefz2x1mwpywNJEsFcb7wRTXKymlatrJw+LW5qo0en06dPTq1Kh65rkCT4809/FiyI4sQJLW3bWhg1Kp3rrqu8XuKDB7XMnRvNnj1+tGghfOaV+fmrEp99FsKsWTE8+WQmo0all/gxHg+kp6s4dUrDqVNqX6/7qVMa0tMLT1wymURMjJOQEBcul4zUVNU5FZJEhw4WunbNp0MHCyqVh19/DeLnnwPJy1MSFeWgdWsbOp2niPe+kOS73aU/AWQy4a8PChLX+aCgslfhqdUSaWlKXn5Z+CJvuCGfV19Nvui1tzKQnKxiw4YA1q83+CrjoqIc9OwpfOudOpVMHCQJfvpJ1KZlZKi4555cRo6smequelQuLBY5y5eHs3p1GHq9mxEj0und+9KWmB07/Bg/Pg6TScHEiak89NCVLWmvKLy+9Y0bDWzdemHf+o03Vl5WxNmzakaMaEBCgobhw9N58smsSvmbZGUpWbYsnK++CvElsw8YkFXrQnOdThlvvx3B+++HERLiQpJkGI1Kbr1VBMk1bFjzQ2uzWc7XXwfzySehpKaqCQlxotd7SErSoNF4uPPOPPr1yyl3M0xurqLYhv3oUS2SJEOt9nD11VZfrVu7dpZKSdSvKdQT9CsIdrus1LC0kt5WNJnYC5mseEVYSIi7WBd3IfkWH+PnV7HNSmWiNMlV69ZWevQw0blzAd99F8Q334QQHe1g0qTUcvmTjhzRMn58HAkJWgYMyGLkyPRSp3SSBElJKh8R927HvZNDrdZDy5bWYiFuDRs6LnpAyM5WMGhQE7KzlaxceYqWLas/JXbt2mBmz44hPt7OkiVna8SbXxk4cULN8883IiVFjVwuMWBAFsOHl6+7uR6lw+0WQXtLlkSSnq7ippvMjByZdlky0IwMJYsWRfLddyKhf/jwdB54oO4kZm/b5seQIY246SYzixadrdD3bbHIOHFCyx9/BPDPP/6cPKk5p7YRyeteiIR5O0ql2GyZzQqaN7cyfHg63brll3qtliRhI/J67HNyFBw+rOPwYS0JCUKe7w3MUygktFoPCoWE0yk7N2gs/Sag03l8FXgOh8wnQ7/+elEPVxrZ9/eveBvG+TAaFWzaJELmtmzxx24XxKF7d0HWb7ghH71e4tAhUZu2Z48frVtbmTix4nLoetRenDypYebMaHbs8KdNGwtTpqSWSBLcbiFpX7bsvytprygsFhlbt/qzYYNYohiNxZco3bqZiIqq2NBr82Z/JkyIRy6XeP31JLp2LV/jRMnfr5wPPwzlgw/CcDrlPPJIDkOGZBAaWvMhqOcjIUHUpx0+rKN37xzGjUtDJpP46CMRJOd0iiC5oUMzK1X5WVYkJqr55JMQvvkmGItFQefOBQwcmEW3bmYUCjh6VMPataKqzWJR0Lq1lX79srnzzrwKEeq8PDm7dxdu2I8cEUGpSmUhYe/c2UKHDpZKs3BVB+oJei2Gx4Ovr/f81PLzZeY5OUpff+350Go9RWTkF0rMi268g4LctUrCU14UlVytXy8kV+LwKNG6tZXnnsuga9f8ckuAbDYZ8+dH8dlnoTRrZmPu3ESaN7eTlqYqEuAmQtxEZRGoVB6uusrmqzZr3dpK06b2Cv1+U1NVDBzYBKdTxkcfJdTIdHTHDj9Gj47H44F58xK5/vq6sb2EwtqRRYuiUCgknn46kwMHdPzxRyCxsQ7Gjav3lVYmbDYZn30WyrvvhpOfL+eee3J54YWMcrUC2GwyPvxQHDhcLhkDBwqfeXWkdVcWEhPVPPpoE8LCXHz8cUK5v3eLRc6ff4o6tD//NJCfr0Cvd3Pzzfn06mXixhvNWCwKTp1Sc+KEho0bA9i3T4/dXnwb7t26e7vci3a7R0S4Lvm49w4e9+7186XFnzghZIZKpUSzZjZatrTRqJGd6GgnMhmlVuFlZYlgvdJsUEW/Z39/TwmBeS4CAjy+lyWRe52u9MGxlzisX19YMedVgqWmqggKcjN6dBr331+xmsZ61A1IEvz8cyBvvhlFVpaShx8WYaJeQpOVJSTt//zjzz335DJ1akqdOtzXJnizIkpbovToYeKqqy7tW/d4YMUKkQHQooWNBQvOXnYFl9MJ33wTzNKlEWRnq7j9dpHMXhs20OdDksQ5Zv78KPR6Dy+/nEyvXsWXTVlZSpYsieCbb0SQ3LPPZtC/f06Ve7UlSahUV68OZf36ABQKuPPOPAYMyCq1SSc/X84PPwSxZk0IJ05oMRjc3H+/kT59ci4rpNdslrNnj95X63bwoA63W4ZSKTFuXCqPPppT4c9dnagn6DWA3FwFiYnqYiS7+HZbca4iTHleoJCAXC4qworKyotutc8n4v/Fm0pCgoZXX41h1y4/4uPtREQ4OXBAHFwNBlHP06NH+ep5MjOVrF0bzIcfhmGzydHpPL6tkveQ6iXibdtaad7cXqk9vQkJagYNaoJO5+HDDxMqPH2+HCQmqhg+vCGnTmmYMCGVfv1q/4Xu9Gk106bFsmePHzfdZObll1N88tpt2/yYMyeaEye03HijmXHjUmnSpPbdmOsq8vLkvP9+OJ98EookQf/+OTz99MWn+l6f+fz5UaSmqrn11jxGj06v9T7z85GfL+exx4Ty5bPPEsr8/RuNCjZuNLBuXYBPJhoc7KJHDxO9epno0qWgmOLD5YIffgjinXciSEpS07q1leefT+eaawpITCz0uBf1vFuthcNcvd5djLA3bmyncWMHDRrYL7rNyMuTs2+fnj17BGk/cEDnGwzExTl8wXMdO1po0sRejOy63fDxx6EsXhyJTudhyJBM2ra1XrLnvmgFXkn3Ri+USk8xEl8amddqXfz4YzCbNhnOKcpEPV2nThafbz02tm5VTdajfMjPl/P22xF89lkoBoObUaPSiYlxMHFiHGZzvaS9snEx33r37oV96+cvUcxmOZMmxbFxYwD33JPLtGnJlyVf9treFi6M4vRpDZ06FTB6dJovLLi2ISNDybRpsfz9t4GbbjIzY0byRasDT5wQQXJ//SWC5EaOTKuSbBinE379NZDVq8M4dEhHYKCLPn1y6Ncvp8whxl5yv2aNqGpzueR06ZJP3745dO9uumxPfUGBnL17BWHv3t1Ua//G5+OKIuid/PykP1u3Lva2vDvuIKdfP2RWK42ee+6C/8d4//3kPvAACqORBqNHX/D+7L59Md15J6q0NOImTrzg/VlPPIG5e3fUp04R++qrF7w/49lnKbjhBrRHjhA9dy4gtqFJyWoAJjGLrXSlh+ZPZjIZlRKUKgmVUkKpkvj1zpdxtG5J27RNdP5lCUqVhFIh+Z5kydOm4WjcGMPGjYR9+OEFXz9p9mycUVEE/PILoSUML87On487OJigb78l+H//u+D9p5cuRdLpCPn8cwJ//fWC95/64AMAQletImDTpmLv82g0nFm+HIDw5cvx37at2PtdQUEkLlgAQOTChej37Sv2fmdkJElz5gAQNXcuuiNHir3f3rAhKdOnAxAzfTqaM2dweyA1VU1aqoqD6nZkThrPgw8aaTBpAvLUdEx5CnJzleTmKfjT1ZVpyplcd10B72T3I1aT6ZsyOl0yjsXfxEcNxnPwoI4pW/qgcBROARVyif957uXrxi8yZkwqj6985IJtS1U89goK5Bw9qkWlljC83A/pnlvK9dgrirQRI7B26IBu716iFi264P2p48dja9kSv61biVixwvd2t1tGQoKGvnnv0aFPGLNu+IyoT2rfYy/h7eWsXh2KYeG79GQdDRo4CA11IaP4Yy9s/kIsfxwiOUWFxy0jMtJJaIcQ0t+cDZT9sVcU1pYtSRs/HoC4CRNQpRf3HVvatyd95EgA4keNQpmbW+z9+V26kDl0KAANhw5Fbi8uqzR160b2oEEANB48+ILfTW277nmlzVnZShQKid29x3LjS00IPrKn2GOvoEDO2bNqni54C3vLFiy4+0tu3rT4gs9f2697CW8vZ/jwBnT/cyFDm/9EQEDhQKKk657dISPXqMSYq+CIuSED+JjoaAcrA1+kg7QPf3+375rvfey5XCA9Mxvbv4nY7XL0eg+xMQ40XZqTNqH0x15B+/bs7zeWU6c03DDvBeTGXGw2OTabHIdDxjp68RpTAVinuYMgjQWt1oNOK6Tt5u63YH/hcWSy4o89jwSWAjl/xz7AUp7jyG4ZHxvvA4Qs3t/fg8HfTdqdD6Adejd+1hzCh40l4ZQGi0VOaIiLBg0c5D3W55KPPVO37ngOnyF+5iu4XTJcbhkulwy3C36+ZhS7gnsQfOYQA3ZN9r3f7ZLhcsF4z2y20pUb2MIsJl3w+ccq5rNP1oFurvVM4TUUcgmNVnjwtVoPP903B2eTRrQ99RudNryLQimhVIBCKSGj5h971X3PLYq6fN2zWOTMszzH3NNPEMdZ1qoH0qy5Db2ucIBfkfNeUVT0nutFbb/uVeSx53TKyM1VcNzagHtyP8PhkPO2agQ3GXYRHCQGaQ6HjN/PtGWg9T1eeimVl44Pv6zHXsDgsWQcLiC/QIFW6yEuzoHqjs619p5rNCoZmzqe/3nuY/agv3h655gLTEWlPfbyTGIhOMo6h4J2HZh7/4/c/PPrF3z98j72XC4ZmZlK0jNUOJ0yJsW9x62DdTyh/Yyobyr+2FO/txb5l3+QkanC4ZChUkmEh7tI/Oh9IiNd/6nrnv/OnaUS9DosdK7dcHtkyIDAQDfjh6YQ0/sgIUfPELXowqnO//2fCVtLE35bbeg2/fc24eVBXp6CM2c02B0yQkNd3Nc9l9zeRt/7FXIIDnYTHOxGkiAwKpdj4dmsWxfA0UQtWehRKARBd7tlrNsbzNtE0qiRncBAF8FaB35+HvR6N3I5WILyWPq3ismT47g/TElwcNVvtP38PDRrbufYMS2rl0XweA856ir/qsWhUAi1QO9GOcxe24LYPRG87CfkQ7UFFqucxx9vwv79et5v7KBtgBV1KWoGhRwiI0XoVnKymrR0Ff9uMHDsf0Hce29u9X7jVyjUaonGje1ERjlJTlKzZm0oszZexZz7jvOIJA5pSclCVaRUSgwbmsH1Q5UEbLfBpkt//tqGxYsj2bw5gKm3mAmwlKwWSEjQkLpXT+BhHRaLmO7ptB6aNbOxZuYJWrWyEf26Bd2R4v+/Nxn9nXcimHjajw46kVQeFORGBlgvsSGRAVFRLqKiXMTHO1AaCjf7bg+EN88msPNZTp3SEPCFG1eBjKwspa+a7YdjESz7uBUNGzr4PF1TjLzr9B6uv76Aq/olgsVK9NNW8s1y8vMVmPPl5OWpWfV+BJ982IquVyXxTraS6GgHBQUK0tNUmMwKLEe0RN95iZ9BJrztGrUE50k377wzj5tvSEd7JJPouRf6hd/oc5Zx316NtIVzhz8nWo10jsTDXZ3yiFPkEX/UgibBg9Mpx2KR+f5GS5dFcowG3EMkY9AV+9wKhcTYxxtREBLDQ84wHs7UoFRKKJSgVEgolBKbN/ujjtFzdZoKP4cMhVJCLr+Yi78e1QGVSvLZz9QqCbtDRmaGktg4J0pF7bm3XWnwErCgyAL+nHaYrVv9iVtsx3RGKEmFQRGsCjmvv36W2283w/SKfa1Tp0Q16NCdfkQprTRqaCcsTFh8Lt/FXvlwu2WcPSsG26HxLta+fYIW5CHbWfbPERjgJqC1lWc6ZjDhOxWvzohlWbCGuDgnWk35OUV6hpKCM2qyslV4PBBgcNOokZP3l5zGHROF6pdyf8pi8Pf3EBjtJCrKSV6egowMFSkpKu64owU9epiYEaSmLfXXyzq3Qa8rEvekJBUffRTGN98EY7PJ6dbNxODBWXTqZKmXUVUAGRlK5s6N5rffAmnUyM7UqSmlpjsXFMg5fFhbzDfu9UOBSKV3OITUMSTESY8eZu64I4/OnUtO/D19Ws2ECXEcPKjnwQeNTJiQWi2Wgo0bDYwc2YBrrilg6dIzNRZy9v33Qbz8cgyRkS6WLDlD06Y1G6DjcolO1KVLI/Dz8zBxYip33VW+eroDB3TMnh3N/v162rWzMGlSSqkeqnpUDDt26Fm4MIr9+/UEB7soKJDj8cATT2Tz9NN1y2d+Pr7/PpBJk+J55JEcpk5N8T32JEk8ttatE53dokUA2rUTcupevUwX7a51u4WUcPnycE6d0tK8uY3nn0+nRw9zlXulJUlcZwuT5QtT5lNSVEhS4RMsOtrhk8wLv7uQzEdGigPX3r3Cw753r5DFe6slo6IEUTebFdxxRx7TpydX6uPAYpGzYkU4H30UikpVWJtWFm9mVpaCTZsC+OOPALZt88PpFFap1q2tNG9uIyzMidV6oRS/qDz/YpJ8laokr31hMn5pSfkBAe5aValUV7Ftmx8TJsSRn69g0qQUevY0sWRJJGvXhhAU5GbMmDTuvTe3/nxWjXA4YNq0OH78MejcuUxcJwp962auuqpstYlZWQqWL4/gyy9D0Gg8DB6cxeOP175k9qLYs0fPxIlxpKaqeOqpTIYNy7js57rFInJdRBCejH79chg6NJPAwIsHyUkSbN/ux+rVoWzaFIBK5eHuu4W/vDpCExMTVXzxhQidy81V0qiRnT59crjvPiOBgXX3rHApXFES97pC0L0wGhV8/nkIn34aSm6ukvbtLQwenFktB64rAW43fP55CG+9FYnTKePZZzMZPDjLd+CyWmUcPVqcjJ86pfEdJqOjHb5as9atRap6YKCbrCwFmzeLMJOtW/19vvWbbjLTo4eZm24yF6saczph2bII3n8/nNhYB7NnJ1WLx8VLBHr2NDFv3tkaC/fbt0/HiBENsNnkvP56IrfcUjOz6KNHNUybFsehQzpuvz2PSZNSKpzA6vGI4cOCBZHk5Ch56CEjL76YXisTXesivFVWc+ZEkZsrTh1t2liYMCG1Tqdm79+vY/DgxrRrZ2XFilMA7Nrlx7p1AaxfH0BGhgqFQuLaawvo1UuEI12qvsvjgd9+C2DZsggSErQ0a2Zj2LAMbr3VVCvuEzabjDNnitfCeX3v3owOEBtvr8/dS+Dj4hxYLDIOH9b7wudEZZwIiWvf3kL37mY6drTQpk3FOm49HvjxR/FczsxUcd99RkaOTCc8vGKKp4ICOX/9JULm/vzTgNmsQKfzcOONIhH+llvMFxwaJUn8fyV56y9G6vPyFL4GkNKg1xcn9aUR+wtT8mu+gaWm4XaL0LFlyyJo1MjOvHki/NWLQ4e0zJwZw/79ejp1KmDy5BSuuqo+xb2qkZurYPz4OLZsMdC7dw4TJ6aSnKwu1bfevbuZa665cIlyfjL7ww/nMHRo7Uxm96LoeTI62sns2Ul07Fi59bqZmUrefrswSG7IkAweffTCIDmHQ8bPPweyenUoR4/qCAkR/vK+fbMJC6v+36HdLuO33wJYsyaUffv0aLUe7rorj759s6/IJUo9Qa8FsFplfPutCB9LTlbTqJGdQYOyuOee3Pr6p1Jw8KCWV1+N5dAhHV27mhk3Lg2rVV4sTf3kSa1vaxEW5qRt28IAt9atrWW6SFutIvF348YANm0ykJMjJLidOxf4prjR0SJEaPduMfFMT1cxZEgGzzyTWeWk+ZNPQpgzJ4b77zfy6qvJNXZgT0tTMXx4A44c0TJqVDqDBlVOJ2lZ4HTKeO+9MFasCCcgwMOUKSncdpupUj53fr6c5csj+OSTUHQ6D88/n07fvjl1uumgpvHvvzrmzo1m3z49LVtaGT06lcREjS9F99ZbRYru5aS41gTS05U8+mhTVCqJ559PZ9s2fzZtMpCXp0Sr9dC1q0he79bNfMmNBQhi+ccfgpifOKGlaVMbQ4dmcPvttYOYXwqSJA6C55P2krbukZFO37Y9IMDN2bMqNm0KKFbhplJ5aNPGSseOoi6nY0cLwcEX/z0WVcO0bSsGQJU5PHU6ZezYoWf9ejGAycwUA5jOnQvOhcyZL7vv3ekEs7lk8l5agJ73pXfrWBIUCgmD4UJCfzFSXxiuV/fPJVlZSiZMiGPbNn/uu8/I5Mklq988Hvj222AWLIjEbFbQv382zz2XUadVPrUZR45oGTmyARkZSiZNSuXhh40XfExWlpJNmwr71s8P/73++nx++y2QZcsiyMpScdtt4p5yMYVSbUBCgpqJE+M5dEjHAw8YGT8+tUofZ8ePiyC5v/82EBcnguRuv92E0ahg7doQ1qwJIStLRbNmNgYOzObuu2sPJzlyRMuaNSH8+GMQVqucNm0s9O2bU+GqttqIeoJei+ByiQPZypXhHD6sIyzMyWOPZdOnTw4BAfU3AxBJnosWCemZn584sOXlKThxQoPLJQ4jwcEu32bc+6+saZIXg9sN+/fr2bBBTHG9EtWWLa306CFuDGKDHsMPPwTRvr2F2bOTqjx9etmycJYujWTAgKxzfZhV+uVKhcUiY+rUOH77LZD77jMybVpKlV/MDx3SMnVqLMeO6fi//8tlwoTUSx7aK4KEBDVz50azZYuBZs1sTJiQSpcudadmrjYgPV30mX//fTChoU6GD8/g/vsL+8wtFjkffSS2HXa7nIceMjJsWEaFN53VicxMBQMHNiEtTY1SKfkOjN26mbn11jxfz3ZZ4PHA+vUBLFsWzrFjOho1sjNsWAZ33JFXZ7rfLwWbTXgrC8m7IPCnT2uK1YUqFBJutwyNxkODBnZf2KD3Wt+okf1cUrxIjG/Y0IFMJiStixdH8e23QYSEuBg5Mp377qva2jSPRwwEBFk3cOqUqKFr08ZCz55mevUy0aTJpaukKhM2m6zETX1Jm/uixN5sVvgyB0qCWn2hJP9S5D4w0I3BUDtqXP/5R0jaCwoUTJ6cwgMP5F7y/8nNVbBoUSRffRVMWJiLsWPTym2fqsfF8cMPgbzySiwBAW4WLDhLu3aXHqaV1LcuXOsy4uPtjB2bSs+etdFhXghJgjVrQpg3Lwqt1sPLL6dw662Vs2QoC7Zs8efNN6M4flxLSIgTs1mB0ynnxhvNPP54NjfckF9rH+dms5zvvw9i7doQTp4UVW0PPCCq2mr7QOZSqCfotRCSJG4gq1aFsWWLAT8/N488ksNjj2XXSLVWTcLtFmFKBw7o+OWXQLZv9/PV4QAYDO5iRLxtWytRUc5quZicOqVm40Yhhd+7V48kyYiKctC9uxl/fzeffx6KxwMTJ6Zy//1V51+TJJg7N4pPPgnjhRfSGTIks2q+UBm/l+XLxcCgfXsLCxeevWgVSEXhcMhYvjyclSvDCQlxMXVqCj16mC/9P14GJAk2bDDw+uvRJCerue22PF56Kc2noKhHybBaZaxaFcYHH4TjcsHjj4s+cz+/koeO2dkKVqyIYO3aYFQqGDgwi8GDs2rdxiorS8n69YV1aJIkIyDAxZ135tGrl4lrry05t6I0eGt/li2L4OhRQcyHDMngrruuHGJ+KUiS+L0W9bnv2aPn8GEdbjcUjQby93ejVEpYLHLfpjggwCUSfxPVuN2c23bWTKZBQoKa9esD2LAhgP379QA0bGj31be1a2ettUoIj0eoh0rb2l9sm1/U1lAS/P3LR+y9r/v5Xb4k3+2G5csjeOedcBo3FpL2Zs3KJ1n/918dr70Ww6FDOq67Lp/Jk1Np0qRe9n45cDph/vwoPv44jGuuKeDNN8+WW0K9b5+OefOi2LPHj4AAFxqNRGamuAC3bm2le3ehaCmrb726kJWlZOrUWP76y8CNN4r6tOocSksSbN3qz4cfhrJliwHvcKNrVzNTpqTWmXpTSYKdO/WsWRPKunUBuFwyrr++sKqtNgwGy4t6gl7Lcfiwlg8+COO33wKRySTuvjuPQYOyyn1TqQvweODMGXUxz/iRI7pzMkcBvd5Nz55CJtqmjY24OEetuNhmZyvYvFls1rdu9cdmk6PXu9FoJIxGpUifnJFcJmlrReDxwJQpsXz/fTCTJ6fUeD/5b78FMHlyHEFBLhYvPkurVpXnD/r3Xx1Tp8Zy8qSW++4zMm5carUGhdhsgnC+/344AE8+KbIPrgTZZ2XC6zNfsCCK9HQhMxw9Oo24uLINNBIT1bz1VgQ//xxEcLCLIUMy6NPHiKqUNP7qQGKimnXrBCnft08M5QIDXeTlKXnkkRymTEkpN+mSJNi0ycDSpREcPqyjQQM7Q4dmctdduXXyUFEVMJnkzJoVzY8/BhMTY6d7dzNms8LnezebSyaFcrlEgwZ22re3cvPNZq6/vqDKrsEXQ0aGkg0bxGZ9+3Z/XC4ZoaEihLRXLxPXXVdQprC6ugCnk4uS+NJez8sTW7vSoFBIxQh7UXn+pV4KsiYk7du3eyXtKRUOCXO74auvglm0KBKLRcHAgVkMHZpZLQGxVxqyshSMHduAXbv8GDAgi9Gj08o12DxzRs2iRZH8/nsgoaFOnn8+gwcfFMqsU6fUbNjgHZKVrW+9OrFunYFXXonFYpEzenQajz6aU23nWZtNxo8/BvHxx6GcOKElLMxJv3453HOPke++C+aDD8JxOuHRR3MYMuTSQXK1CVlZSr7+OpgvvggmLU1NRISThx/OoXdvY6WoaasL9QS9jiApScXq1SL53Wqt+8nvkgRJSWoOHiwMcTt0SOcLxNFqPbRoIeRNBw/qUKkkXnwxnUcfrf3+X6tVxrZt/j4pvFdypVJJ9O6dw+DB2cTEVP7W1emE0aMbsGmTgdmzk7j77rxK/xrlweHDWl58sSEmk4KZM5Mu2xdus8lYujSCDz8MIzzcxbRpyTUWSAeQmqpi3rwofv01kNhYBy+9lErPnuY6+XysbOzfL3zm+/fradXKyrhxqXTuXLGgm4MHtSxYEMW2bf7ExjoYPjydO+/Mq5btoyTBsWPac8nrBo4dE7VaLVta6dnTRGCgm9mzo7nrrjzmzk0q199ekuDPP/1ZujSCgwf1xMU5GDIkg3vuqSfmpWH9enGgNZnkPP98BoMHZ5GYqGbmzGj++cdASIiTDh0sFBQoOHlSQ3a2spjXHUCrdRMT46RlSxtduuRz3XUFxMQ4q22bbTLJ+esvw7mQOX8sFgV+fsI/27PnhSGk/xVIkrjGlyU4Ly9PickkLybJP//vXBQqleec8g4aNHDQpIm9TFt7g8F9UfVKTo6CBQui+PbbYCIjnYwfn8qtt5rq7wFlxP79OkaNaoDJpGDatGTuvbfsZ5bs7MJkdpVKJLM/8UR2qUMSbxNDab71m27KrzalTUGBnNdfj+Lrr0No1crKnDlJ1abCyMpSsGZNKGvWhGA0KmnRwsrAgdncdVdesSFhZqaSJUtEkJzB4GbIkEz69bswSK42w+WCP/80sGZNCH//bUChkJgwIbXGF1hlRT1Br2PIzS1MfjcalbRrZ+HJJ2t38rskiRCxopvxgwe1mEziFKpWe2jRwnYuSV3I1LOzFcyaFcOpU1puuy2P8eNTL5l2XBvhdouN7xdfhPDzz4G+DUHz5lZ69TLTvbuJ1q0rT3Jlt8sYNqwhe/b4sWjRmRolsCAmmSNGNGD/fj3PPZfO0KGZFfpZ9+zRM21aLKdPa+jdO4cxY9JqzSF2+3Y/Zs+O5sQJLTfckM+ECf9dyWNampJFi6L44YcgwsKcDB8uvL+XK9GWJOGTW7AgkqNHdbRqZWXUqDRuuKHycwDcbti3T+9LXk9KUiOTSXTsaKFXLyFPjotzcvy4hgEDmtCokYNVqxLKHEwjSfDXX/4sWxbBv//qiY0tJOb1lVmXhtGoYMaMGH7/PZDwcCc5OQq0WomhQzN47LGcYgoLh0N43Y8d07B9uz8HD+pITlZjNheGz4HYtIeGumjSxM7VV1tp2tR2LrTOUaoVozJgt8vYts3PJ4UXIaQeunQRIXM9epjrRAZDTcPjEV7U88m80ajkjz8C2L7dD4PBQ+vWFtxuOSaT/BzJVxRT6JUEg+HSdXdGo4Kvvw4mKUlDp07iHtCyZfXmDdQ1fPllMLNmRRMR4WLhwrO0bFk2lZ3FIuOjj8J8WSW9e+cwbFhGuSTxJfnWlUoP111XQI8e4lxWVXbSvXt1TJwYT0qKiiefzOK55zKqRRV29KiG1avD+OmnQFwuGd26mRk4MJtrry246OP06FEN8+dHsWWLCJIbNSqN226re0Oos2fVfPFFMHfdlUfr1nUj8b2eoNdRWK0y/vc/kfyelCSS3594Iot77635lMXMTCUHDuiKbcZzcgQZVyolmje3FfONN2tm912gcnIUzJsXxXffBRMb62DSpJQaJ5mVBatVxvTpsfz0UxA6nRubTY4kyYiIcPoS4a+99vKljvn5cp56qjEnT2p4553TXHNN5VZ0lBd2u4xXX43hu++CueOOPGbMSCozmbFYZLz1ViSffBJKdLST6dOTq4SUXS5cLhHy8vbbkVitcvr3z2bYsP9O0q/XZ75yZTgeDwwceHGfeUUhKrMCWbIkkpQUNV27mhk5Mv2yLRROpyBK69aJTInsbBUqlSBKvXqZ6N7dVOwAmJuroF+/ptjtMj7//GSZhofeIcPSpRHs368nJsbBs89mct99xnpiXg54PPDdd0HMnRtFfr4ShUKk5j/1VFaZh9Rut2jd2LhR5IckJGiLhNMJD6YXoaFOmjYtXg/XuLGd6GhnpWYDeENIvbkGiYkaZDKJdu2sPt96XQ89qk5kZioZPz6OHTv8eeABIxMnlixpdzpl5OXJMZmUxYi79/XCbb7ct7n3vvSGFZYEmUwiKKhkQl9aLZ739bq0pSwvHA4Zs2ZF89VXIXTtaub115PKJJ92uUSa/tKlEWRmVl7bh3cg61U8njkjwn8r0rd+MTid8M47Ebz7rqhPmzUriU6dqvZs5vGIYfBHH4WxbZs/Op2H++83MmBANg0blu/39vffIkjuxAkt7dtbGDu2blei1gXUE/Q6Dm/y+wcfhHPokI7QUCcDBmTzyCM51eLLzclRFNuMHzqkIyNDnDblcommTe3FyPhVV9lKHCB4q0zmz4+koEDBoEFZPPtsxhVTl1AUmzf7M3VqHPn5cm691YTNJmPrVgNWqxw/Pzc33phPjx4mbr75wj7dsiInR8ETTzQhK0vJypWnKtUDXhFIEnz4YSjz50fRsqWNxYvPXHJCvWOHH9OmxZKUpKZfv2xGjUqv9R6/nBwFixdH8vXXwdWWHl2T8HiEz3zhQuEzv+OOPEaNSiM2tmqD8xwOGZ9/HsKKFeHk5Sm5++5cXnghvcz+dhCp8X/+6c+6daLPOj9fgV7v5uabRR3azTebSxywOJ0wZEgj9u3T88EHpy6ZNOwN/Vy6NIK9e/2IihLE/IEHcmvUT18X8e+/ojbt33/1tGtnYciQDD77LJS//jLQpUs+r76aXGH7UGamkj179OzcqWf7dj9OndKeSzKX0GgkPB6KeaTVag8NGjh89XCNGzt8Pe+Xq+6RJDh5UuNTcRw6JKwVTZrYzqk4zLRuXXtD5moaW7b4MXFiPFarnMmTU7j//txK/xqSBFar/AL5fXKyih9/DOLwYR16vZsWLcSZp+jHlZaZ4IVO57mox740su/vf3FJfk0jLU3JmDFCUff005m88EL6Jb9fSYKNGw0sXBhJQoKWDh0KGDMmrUrIoSRVjW/99Gk1EyfGceCAnvvuMzJxYtXWp1mtMr7/PojVq8M4fVpDRIST/v2zefhh42V5yd1ucU5fskTU191xRx4jRqQRH18flFsVqCfoVwgkSUhtP/ggjL//NqDXu3n4YSMDB2Zfdg+rF3l5cg4d0hUj5KmpakBMixs3Lk7GW7SwlYlgHz+uYcaMGPbs8aNTpwKmTk25IkPwiiIrS8HLL8eyeXMAN95oZsqUFE6e1LJhg+j2zM4WfbrXXFMouSoP+QBhKxg4sDEOh5wPP0yoFduXTZsMjB8fh07nYeHCsyV2EhcUyFmwIJI1a0KJj7fzyivJXHttzaoAyouDB7XMmhXD/v2CSEyalEKbNnVDVlVW7Nun4/XXC33m48enVrtaw2yWs3JlOB9/HIrbDX375vDss5mlVu0ZjQo2bhT+3y1b/HE45AQHu+jeXYR1XX99/iUVSK+9Fs2aNaHMmpXEvffmlvpx3mvy0qUR7N7tR2Skk2eeyeTBB41X9IasKpCZqWThwki++y6YsDAno0alc889YvAlSSKw6403opDJYPz4VB544PJbMywWGQcO6NmzR/zbu1fvy0jx93cRGipS5AsK5GRmqnC7C79gWJiz2Lbd+zImpmJb99RUFRs2iMftzp1+uN2FyquePcvfGHClwuWCZcvElrJpUztvvplI06Y1c5bYsUPPrFkxnDihpVs3E+PHp/qIjNsN+fkXD9Ar6aXZfHFJvkwm4e/vuWA7HxjoIiDAc8HLgAAXgYHi43W6y0/Jvxh27tQzZkwDbDYZM2cml6lGbP9+kcy+e7cfjRrZGTkyrVpzXrKyFGzeLFRVFfGtSxJ88UUwb74ZjVot6tMuN4vnYkhPV/L556GsXRuMyaSkTRsLAwdmc/vteZV6fbBY5KxaFcaqVWG4XNC/fw7PPJNRrWG9/wXUE/QrEEePalm5Moxffw1EJoP/+79cBg3Konnzst+o8vPlHD6sKxbilpio8b2/QYNCMt66tZVWrWzlnghaLDKWL49g9eow/P3djB6dVikHq7oCSYK1a0N4803RfTl9ejK9epnxeMSmSExxDSQkiD7d5s1tvgNZq1a2Mm1PTp1SM2hQEzQaDx99lFAravpOnNDw4osNychQMn16SjGSs2WLH6+8EktqqorHHstm+PD0Oqui8Hjghx+CmD8/kpwcJQ8+aGT48HRCQ+tOGmpJSEtTsWBBJD/9JHzmI0bUvEogPV3J0qURfPttMHq9CAwaMCALvV4iLU3lS17ftcsPj0fUIfbqZaJXLxMdO1rKHMq2Zk0Ir70Ww+DBmYwenV7qx+3Y4cfbb0ewa5cfERFOnn46k96964l5eeF0yvj441CWLw/H4ZAxcGA2Q4aUbJ1ISlIxdWocO3f60a2bienTUyq14tHtFteuvXv92L1bEPaUFDGg1mo9NG9uJTraiZ+fB4dDTlKSmtOn1eTlFT64zt+6N2pU+HpZt+55eaIxZP16A3//LZRXBoObW24x07OnIA21XWlUFcjIUDJ+fDw7d/rx4INC0l7T9w6nEz79NJSlSyNwu2U89VQmTz6ZdVk2RIdDdlEyf7G0/KJDpPOhVHpKJPElvyy6yfdcVAkkSfDppyG8+WY0cXEOFi48e8mhyfnJ7M89J5LZa3IIZbHI+Ocf4VvftOnSvvWiS5iuXUV9WlUliB86pGX16jB++SUQjwd69jQxcGA2HTtWbYh0erqSJUsi+d//gggIcDN0aCZ9++bUK8MqCfUE/QpGcrKK1atD+frrEKxWObfcIpLfr7mm+JPWYpFx9Kgg4V7v+OnThWQ8JsZRLMCtVSvrZU/KNm0yMGtWNCkpah580MioUWmlbr2udCQkqJkwIZ7Dh3X07p3DuHFpxQ5YZ86o2bhR+KP27NHj8YjtiVdydamKnkOHtDz1VGPCw518+OGpWvF7NhoVjBkTz44d/udqyjJZuDCKr74KoVEjOzNmJF0x/qb8fDnLl0fwySeh6HQenn8+nT59curcxstikbFqVTgffBCGxwNPPJHF009n1SoycPKkhoULI9m4MQC93k1QkNtHopo2tdGzpyDlFQlm3LHDj2efbcQNN+Tz1ltnStyE7tql5+23I9ixw5/wcCdPPZXJww8bazwXpC5i82Z/Xn89mjNnNHTrZuKll9Iu6Zv0eOCTT0JZtCgSrdbDlCkp3Hln1W2s0tKU7N2rZ88eP/bs0XP0qJDFy2QSV11lo0MHC1ddZSM42H2uFk7NqVOiGk50tRf3uhcl7N6QuthYR6lbd6u1MOxq40YDublK1GoPN9yQT8+eZrp1M9X5gWBZsGWLPxMnxmG1ypkyJYX77sut6W+pGNLTlbz5ZhS//BJEfLydiRNTufnm6s3WkSSx+SwpJb80gu/9d2lJflH5fSGZ9/Nzs2OHH0eP6mjd2sKzz2YSFeUsIsn3FBvsZmcreOedCL74QiSzDxqUzaBBteseA4W+de+5zHte9vatGwxuVqyIwGKRM2qUqE+r7AG22y2k/6tXh7Frlx96vZuHHjLSv392tUvOjx7VMm9eFFu3+hMfb2fUqPT6NoNKQD1B/w/g/OT3Zs1stG9vwemUceiQjoQEzTmvHUREOIvJ1Fu3thISUnk3+LQ0JXPmRLNuXSBNm9qYMiWlwvVLVxKcThlvvx3BypVhxMc7mDMniauvvpCgGo1ie7Jxo4G///bHahW+WeFbN3PLLeYSPUY7d+oZOrQRzZrZeO+907UivMzphNmzY/jiixDUag9Op4xBg0Sq6ZXYKZ6QoGbu3Gi2bDHQrJmNCRNS6dKl9gXenQ9vMNvChVFkZKi4885cRo5Mr3KfeXkgSaKOcd26AP74I6DYgDEoyMWwYek8+qixwgeGxEQVjz7alJAQF598knDBtnPPHkHMt23zJyzMyVNPZfHwwzlX5OO4qnHqlJrXX4/mr78MNGpkZ/z4VG66qXxkJiFBzZQpcfz7r5677spl0qRUgoKqnqgWFMjZv1/H3r16du/2Y/9+HRaLIDeRkU46diygQwcLHTtaaNzYRmqq2tflfvq0hlOnxH/n5hZu3VUqsXU/3+feqJG92KDc5RKPw/XrhW89JaWwfcAbMneleUVdLli6NIL33hOS9nnzEmt1g8bWrX7MmhXD6dMaevXKY/z4NKKja//fxOW6UJJ/MVm+SNBXkJNzYc1hUcjlEv7+gtg7HHKys5V4PNCkiZ3rr88nOtpZbFtf1HOv00m1hgAmJAjf+vr1wrcOMpRKD3fcYeKBB4xcc03lWVAsFjnffBPEJ5+EkpioISbGQf/+2Tz0kLFGm20kSQTJzZsnguQ6dixg7Ni0S2a01KN01BP0KxhOp4zjxzU+ifqBAzqOH9f6yLhcLtGkiZ3u3U20by/IeFVJcFwuIfV6++0IPB4ZQ4Zk8MQT2fVSmPOwY4eeyZPjyMhQMXRoBk8/nVmq/NZb0ePdnmRlCd96p04FdO8uPFJFD2SbNhkYMaIBnToVsGzZmRrf6uXlyZk7N5rvvw8GJOLinKxYceqKO0QWhSTBhg0GXn89muRkNbfdlsfYsWkVDraqahT1mbdpY2HcuLQqT54tK1wu2LXLzxeklZ4uHv+dOxcmrx86pGPhwihOn9bQoUMBo0en07Fj+b7/ggI5AwY0ISNDyWefJdCgQeEWd+9eHUuXRrJ1qz8hIS6efDKTPn1yalxaWxdRVGmi1XoYOjSD/v0rLpd0uWDlynCWLYsgKMjFK68kV3sjiMsFx49rfT72PXv8SE8XJ3W93k27dlY6drTQoUMB7dtbfdJ9o1FxjrSLjbt3656UpPb1eQOEhLh823bvxr1RIzsxMQ5OntSyfn0A69YZOHZMhMw1b27zVQW2bFl59Z41gYwMJePGxbNrlx8PPZTDhAmpdeJ553DI+OijUN55JwLgijwLbdnix7hx8Xg8MmbMSKJdO2uJcvzcXAV79+rZv1+P3S4nIMCFv7/HF753MUm+SuUpNSyvJEJf9O1VoV7bv1/HxIlxnD2r5qab8pHLJbZtK/St33RToQWlIguS1FQVn34awldfhWA2K2jf3sLAgVn06mUqs0WrOuBN21+yJILsbDHQHzGifAGu9RCoJ+hXCFwuSEjQFAtwO3pU60udDQhw0aaNqDdr1crq6+08dEhPaKiTxx7LoU+f7CoJedi/X8err8Zw9KiOm24yM3lySv2T9SIwmeTMnBnDTz8F0aFDAbNnJ13y9+XxwIEDOp/k6sQJ4Vtv1szmqwpp08bKTz8FMnFiPN27m1iw4GyNXdjXrzcwY0YMRqOSp57KpGNHC+PHxyGXw/z5Z+tcKFx5YbeLWrL33gsHOCfzz6o1G9eiPvPwcOEzv/femk+jF40H/vzxh/AB5uUp0Wg8dO0qkte7dTNfsCk9v56ne3cTI0emlyk8yuOBESMa8OefBpYvP8311wvFw/79OpYujeDvvw2EhLgYPFgQ85JqnOpxcXg88L//BbFokchqeOCBXIYPTytXr/HFcOSIlkmT4jh+XMtDD+Xw0ktpNaogSk1VFSHseo4d0yJJMuRyiRYtbL4Ne8eOBRdkhjidnPO2a4oR+NOnNRiNhRdzpdK7dReS+YAAF+npKg4c0HHggLBJRUc7zm3WRTJ1bTrkXwpFJe1Tp6ZcNKyxtiI1VcXcuVGsWxdIo0Z2Jk1KqZUVouWBJMH774fx1luRNGliZ9Gis8UGmkU/bvNmAwsWRHLypKjtGjMmrdjwVJLEcLQsAXrnv7+wMrFk6PWlJ+FfjNyfL8kHcX9ZsSKCFSvCiYx0MnNmkk8VejHfuliimC8Z4rx/v47Vq0P5/fdAAG691cTjj2fV+s10QYGcDz4I48MPw3C74bHHRPVqQEDNqzfrCuoJeh2ExyNqG7y1ZgcO6DhyRIfNJq4c/v5un2fc+zIuznnBtFyShK9y5cqqSX43meQsXhzJ2rUhhIe7GD8+ldtuq/ellBU//hjIa6/FIEkwcWIq991X9gC9xES1r9dz925xIAsPd9Ktmxm5XGLt2lDuu8/IjBnJ1Uq6jEYFs2dH8/PPQbRoYWXGjGRfBdyZM2peeKEhSUlqJk1K4ZFHjNX3jdUQUlNVzJsXxa+/BhIb6+Cll1KrNaX2fFgsMj74IJxVq8KQJOEzf+qpmvUAmkzyc6FYAfz1l7B1GAxuunUTyetdu5rLRIwtFhkffxzGypVhWK1yHnjAyHPPZVy0w3zRokjeey+cCRNSeOyxHA4c0PH22xH89ZeBoCAXgwdn0a9fdj0xryD27dMxZ040Bw7oad/ewsSJVdN24HDIWLZMWIiiopzMmJHMddfVDjKUny9n//5Cwr5/vw6rVRCM6GhHEcJuoXlzW6l+9Nzc4h538VJNYqKm2NY9KEiEfDmdMjIylLjdcvz9RZPBrbea6No1v9Zuor2S9nffjaBZM1utl7SXBX/+6c/s2dEkJmq44448xo5NrRVhruVFQYGcqVNj+f33QO68M5dXXkku8br477865s+PYudOPxo2tDNyZDq9elXuudDlArO5bOF55xN+h6P0A5FcLhUj7yqVREKCsKQ0b27lzjvziIhwlUjuVSqpxL71Vq2s58J/C/vWXS5Yvz6Ajz4KY98+PQaDm969c+jfP6dOWCKK4vwguWHDxZh8ZgABAABJREFUMujTx3hFKUaqCvUEvZZDkgTZKroZP3xY66t70ek8tGpVSMTbtLHSsKGj3KTr6FENq1aF8/PPIvn9rrtE8vtVV5X/5idJohv5jTeiMBqV9O+fzfPPZ9QK33NdQ0qKikmT4ti1y4/bb89j2rSUcvdY5uYW+ta9BEep9OByyena1cycOUnVEhz3668BzJoVg8kk59lnM3n66awLLtImk5xx4+L5+28D/ftn89JLqXVqs1NR7Njhx6xZ0Zw4oeX66/OZODG1Wg+ewmcexMKFkT6f+ahR6TUmvc/KUrJ+vSDl27b54XLJCQtzngt5M5+rlarY/cloVLBiRTiffx6CUgkDBmQzePCFk/0ffwxkwoR4evfO4ZFHcli2LIJNmwIIDHQxaFAW/fvn1LrworqCjAxRm/b998GEh4vatLvvrnqFxt69OqZMiePMGQ0DBmTVypYIl0uELnl97Hv36snIEJpcPz837dtbfKS9XTvrJR+DLhckJ6t9hN1L4E+f1pCTU/TiKgFikx8X5+Caawq47TYTV19trRb//qWQni4k7bt31y1Je1lgt8v44AOhqJLLJZ57LoPHHsuuM0Gip0+rGTmyAadOaRg9Oo3HH8++gHAnJopk9l9/DSQkxMWwYRn07l37wlJtNtkl6+5MJgXHjmlJSNAgk4kWB5tN7rOPlgSNxlOM3CsUEvn5oqIxK0sJyAgMdBEW5iIzU4nJpCQmxsGAAVk89FBuic0VdQlHjmh5880otm3zp0EDO6NHV29lXl1EPUGvRZAksVErSsYPHtT5EjTVag8tW9po3VqkqbdubaVJE3uFelVLQ0qKSH7/6qtgrFYFN99sZvDgTDp3Lltdw5kzal57LYZ//vGnTRsL06al0Lr1ldX/XN1wu+GDD8J4++1IQkJczJqVVOFwMbtdxvbtfqxfH8CPPwZitSqQySSuucZC9+5iihsfX7l96VlZCmbNiuH33wNp3drKjBlJFx38uN0wb14Uq1eHcf31+bz55tn/RL+myyVq95YsicRqlfPoo9kMG5ZR5cEve/fqmDtXbDHbthU+8/L6tCsDiYlqXx3avn16JElGgwZ2n2e2XTtrpRK4pCQVb70lZPyBgS6efTaTfv1yUKslDhzQMWhQYxo3thMZ6WTTpgACAlw88UQ2/ftn1w8bKwiHQ8bq1aGsWBGO0ynj8ceF7LE6D59Wq4yFC6P49NNQGjWyM3NmUq2Wi0qSuC8X9bGfOKFBkmQoFEIW37FjgW/LXp4cmbw8hS+YLiFBw549ehISNJhMCqDwhq/TuWnSxM5VV9mLVMTZiYtzVAvB+usvfyZNisNmk52TtOdV/RetASQmqpg7N5pNmwJo1szGpEkptd7utWGDgUmT4lCpJN54I/GCs0lOjkhmX7s2GJVKqLIGDcqqs4QzO1vB9OmxbNwYwPXX5/Paa0lERrrweISKoDy1d96X3iDJ0uBtJClJhn8xqb6/f9V225cXkiSey/PmRXHypJZOnUSQXEmByPWoJ+g1iowMZbFqs0OHdD4fmVLpoXlzO23bFm7Gmza1Vdu0MS+vMPk9J0dJ27YWBg8WgRQlDQQcDhnvvy8mwGq1xPDhokqqMocH/3UcPKhlwoR4Tp/W8MQTYvtzOb3KLpfw127eHEB4uJPMTPHg8vrWu3c307ZtxUmRV0kxZ040BQVynnsug0GDssq8Ef/mmyBefTWG2Fgnb711hsaNK3dwUFuRk6Pgrbci+eqrYIKD3Ywcmcb991f+djE1VfjMf/45iIgIJyNHVs8W0wtJgmPHtKxbVzzIqmVLq68OrXlze5UfMA4f1rJggaiIiYlx8PjjmbzzTgRWqwKbTQT8PP54Fo89ll2jKbl1GZIkQirfeCOKs2c1dO8uatNK8qdWF7Zt82Pq1FjS01U89VQmw4Zl1hnZpclUXBb/7796n8UtNtbh87B36GChWTN7uZ/TTqfwCP/0UyC7dvmRnS3uDQqFVCy4S6kU2/aitXBeAl8ZqiyXC95+W9hMhKT9LE2aXPn3gY0bDcyZI4JE7747l7Fj0wgLq12yd48Hli2LYPnyCFq3trJw4dli8murVViK3n8/DJtNzkMPGRk2LIPw8Nr1c5QHmzYZmDYtlvx8OaNGpdO/f/ZlnY/27NGzenUo69cHIJPBTTeZuflmExkZKnbt8uPQIWF3kcslQkNdBAa60GgkX4heXp7ClzNVEhQKCYNBEPbAQLfv9Uv57wMD3VUaIuxywTffBLNkicgduesuESRXm5phagPqCXoNYOHCCD79NNTnM1MoJJo2tflC3Nq0sdK8ua3GU7ZByH3+979gPvxQVDo0aGDniSeyuO++XF+g1T//+DFzpqgOueuuXF56Ka1OX4RrMywWGfPmRbF2bSgtWliZMyeJZs0qLoV2uWD06AZs2BDASy+lIJPJ2LjRwK5dfrjdMsLChG+9Z08TXboUlPkxmZGhZMaMGDZuDKBdOwszZiRXSLK9e7eeUaMa4HTKeOONRG68sXpTmGsSBw9qmT07hn379Fx9tYWJE1MrZdJsschZuTKMVavCABg8OIvBgzOrxUft7Y/1Jq8nJRVWQXk35TUVILllix+zZ0dz+rQIWNRoPDz5ZCYDBmTXB9tcBhISRG3a338baNzYxvjxabXmeWw2y3njjWi++SaYq66yMmtWMi1a1D3Fl9MJR4/q2L1bf66XXU9WliDVBoOQxXs37G3bWsotDT99Ws369QFs2GBg7149ICMkxElsrBONRiInR0FioroYWQgMdBVLlvcS9/j4sm3d09KUjB8vJO29e+cwfvyVI2kvC6xWGe+/H87KlWFoNBLPP59Bv37ZtcLyZTLJmTAhnj//NHD//UamTEnxnQfdbvjuuyCWLBF2qR49RChnXc4KOP/cNXt2Es2bV+zncTrht98CWb06lIMH9QQEuOjTx0i/ftkX5KG43bB/f6Fv3Vsf6vWtd+9upmFDe5m89ee/NJsVF63A02g8pYbmlUbwvUOAsi7mzg+SGzAgm6efrg+S86KeoNcAZs+O5vPPQy6oO7vqKpvvX4sWNsLDXbVGnuJ2w7p1AaxcGcbBg3pCQlw8+KCRxEQ1v/0WSHy8ncmTU2vNwetKx8aNBl5+OZaCAjmjRqXRv39OhR8rdruM555ryK5dfixadJZu3czk5SnYvNmfjRtFMJfFokCnc9O1a2HfekkbEkkSicyvvx6NwyHjxRfTGTAg+7KUFCkpKl58sQEnTmgZOzaNAQMu9LddqZAk+OGHIObPjyQrS8WDDxornHDt8YjPtWiRODj93/+JPvOqDp1xOkUd4Lp14oCfna1CpfLQpUthHVplJXZXFCdOaFi2LILffhNJuVqtG5tNQZcu+YwalVYlwWVXOsxmUZv26aeiNm3YsAwefbR2+mo3bjQwfXoMeXkKnnsuk8GDS6+3rAuQJJH2XjQt/uRJMXhSKiVatbIWC58rz3Y2K0vJhg2F+RBOp5yQEBfduplo395CUJDblzTv9b17N/Der3/+1t37uvee8uefQtJut8uYNi2Fe+65MiXtZcGZM2pmzxYDrquusjJlSmqNWJC8OH5cw8iRDUhJUTFhQhp9+oizhySJv9uCBaIHu107C6NHp3HNNbVbon8p/PtvYX3aoEFZvPBCRoWUi3l5cr78UqhSMzJUNGpkZ8CAbO6911jm4XhCgpqNG8V91GsDi4lx+Gp1y9O37vGIgMqLJeLn5SkxmeQXEP5LSfINhrJJ8L0v7XYZn30Wyk8/BRIY6Gbo0Az69Kl9+QTVjXqCXkNwueDsWTXHjmmL/UtNVfs+JijIVYy0X3WVjaZN7TVaxSRJsH272DSJG77E1VdbmTUriUaNrnzpWW1CVpaCadPi+PNPAzfeaOa115IrLIMrKJDz1FONOHFCy/Llp301ISDsCzt2+PmmuBkZKuRyiQ4dLPTsKSrcGjRwkJam4pVXYvjrLwOdOhXw6qvJNGxYOY8Ji0XOxIlxrF8fwEMP5TBlSmqdkaNWBgoK5LzzTjirV4ei1YoQoX79yk529uzRM3duFAcPim38uHGpdOhQdb4vi0XOX3+JOrQ//zSQn69Ar3dz882iDu3mm821wsedkKBh2bJwfv01EKVSwumU8/TTGQwblskXXwTzzjsRGI1CgvfiixmVns9wJcLjEbV2ixZFYjQqeOghIy++mE5oaM0HjV0MubkKXnsthl9/DaRdOwuvvZZ0Rdlq8vIU7NunY/duP/bs0XPwoA67XWy84+Pt5/rYLXTqZKFx47LJ4vPzxfN8/foANm82UFAgnuc33ZRPz57ieR4Q4MFkknPmTCFh95L3M2cu3LprNBIZGSpCQ50MGZJBly4FxMc7/1PX+/MhSWJBMnduFGlpau6/38ioUWnV/pz65ZcApk2Lw8/Pzfz5ib5BwcGDWubNi2LHDhEANnJkOrfeWrcbe1wuePfdcN55J4KICFGfVpE8gNOn1Xz8cSjffReM1SqnS5d8Hn8861xXesW/v6wsBZs3C7K+dWvl9a2XBU6nDJOp5Aq888n9+S9drotL8mUyCZdLjlrtoWlTMbjzbucvRvgvx+5ZW1FP0GsZ8vLkHD+u5ehRLcePC9J+/LjW5y+TyyUaNfJu2+2+bXtk5IU1alWBo0e1vPpqDPv362nTxkJ4uJO//gpAkuCuu/IYNCiTFi3qrpSprkGS4PPPQ5g3Lwq93sP06cn07Gmu0OcyGhUMGtSYjAwV779/qsRwP0mCQ4e0bNggbgxe33BYmJO8PAVyOYwcKTb6le1l9njg7bcjWLEigk6dCliw4CwhIbX70F/ZOHVKzdy5YpvStKmNCRNSfd3cJSElRfjMf/nF6zNP4+6786rEZ240Kti4UWzWtmzxx+GQExws6pt69TJx/fX5tcK2A2ITsXx5BL/8EohW6+Hmm8389lsgd9xh4o03En3X0vx8IcFbvToMpxP69DHy7LMZtZ5s1hT27tUxe3YMhw7p6NChgAkTUuuc+uCXXwJ47bUYbDY5I0dens+0NsPplHHokNYXPLd3r96X6h4Q4Cq2YW/TxnrJxYDDURhAumGDgawsFUqlxLXXFiplSpLwpqSoOH1aw/79Or74IoTsbJUvFdsLhaLkrXujRnZCQtx1mgiWBxaLjHfeieCjj8LQ6TyMGJHOww9XfdaPyyUqJ1etCqdDhwLmz08kPNxFYqII2vz55yBCQlwMHZrBww/X/c1nYqKaCRPi2L9fz9135zJpUkq5ZNfeCuPVq0PZtMmAUinxf/+Xx8CB2VVioamMvvXqgCRRxD8vx2S6kMTn5ck5eVLL4cM6rFZB1FUqDxbLxSX5Wq3nkvL7gAA3bdpYazT7pDyoJ+h1AG63uGCcv21PTi7ctgcEuHyE3Uvamza1VZpny2KRs3RpBB9/HEpgoJuxY9O45x7Ry52aquKjjwqT32+80cyTT2Zx7bUF/5kbZ03j5EkNEybEceSIjt69cxg3LrVCnuK0NCWPP94Eu13OqlUJl9wg7dqlY/r0uHPeKFHTExrqpHt3M927m7n++vxKV3z89FMg06bFEhrqYvHiM/+5gZAkCUnu669Hk5Sk5tZb8xg7Nq1YwIrFIuf994W3SyYTPvNBgyrfZ56WpvIlr+/a5YfHIyM62uHzk3fsaKlVUuHTpwUx//nnQDQaD48+mkO3biaee64RDRo4+PDDhBKvmZmZSpYti+Drr4PRaDwMHpzF449n19esnUN6upIFC6L48UcxCBo1SgyC6ur1PzNTyfTpMWzeHMC11+YzY0byFR9gJElC1VdUFn/qlFcW76F1a1ux8LmLDak8Hti/X8f69SJrwtv5fPXVQnXVs6e5mCfZK2l3OISk/e678zCbvVv3onJ5DWfPqn2bfxBnn6IyeS+Bj493XJFbNRDKn1mzotm2zZ/Wra1MmZJSZUnYOTkKxo2LZ9s2f/r2zWb8+DSfouvzz0NQqWDgwCwGD86qFaqoy4EkwddfBzN3bhRKJUydmsJdd5XdXuF0yvj5Z+EvP3JER3Cwi759c+jbN6faQv68OS8bN5bsW+/Rw0yLFrZaf212ucTf4u23C4PknnpKnGFK8tSXlpBvNiuwWguvFxMmpPDYYzk1+JOVHfUEvQ7DbJZz4oQg60ePerftGp8/RC6XaNDAcYG3PTq6fNv2desMzJ4dQ3q6it69cxg1Kr3ELu68PDlr14by8cdlS36vR+XC6ZTx1lsRrFoVRoMGDubMSaJt2/LftE+fVvPEE01Qqz2sXn2qxMmrxwNr1oSwYEEkcjmMHp3GbbflsWWLuCn89Zc/BQUKdDoPN9yQT/fuJrp1M1faxvvAAR0jRjTAbJYzZ05ShVUDdRl2u4wPPxTNCR4PPPVUJk88kcXvvweyaFEkmZkq7r5b+Mwrc3qekKDxJa8fPKgHoGlTmy95vXXr2nfzP3tWzTvvhPPDD0FoNBL9+mUzaFAWcjk8+mhTrFYZn3+ecMnf06lTahYvjuSPPwIJDXXy3HMZPPigsc5vjCoKu72wNs3lkjFoUBZPP511RQwuJAm+/TaIuXOjARg3Lo0HHzTWusd2VcJoVLBvn94XPnfggM4nSW/Y0F5ky15A48aOEn83kiSuGYKsGzhwQFwzGjWy0727iawsJT/8IEL63nwz8ZJDYbdbLAW8Xe5eAn/6tMbXFw/4+tzFpr14UF1oaN3fuksS/PprAG+8EU1mppKHHjIycmR6pXbWHzyoZdSoBmRnK5k6NYU778zj449DWbkynIICOQ8+aOS55zLKVe1XW5GTI+rTNmwIoEuXfF57LbnM902jUcHatSF8/nkIWVkqmja1MXBgNnffnVujllS4uG+9e3cTnTuX3bdeE8jPF6G2H30UhiTBY4+Jas7yNKo4HDIfeQ8KctUZ5WU9Qb/C4PFAcrLKt2X3EvfERI3vY/z93Vx1lY3mzQVhF6/bLzhUpaSomD07mo0bRSfnyy8nl8m3arfL+O67ID78MIwzZzTEx9sZNKh48ns9qg7bt/sxaVIc2dlKhg3L4KmnMss9IDlyRMvgwY0JC3Px4YcJxS5oZ8+qefnlWHbu9KNrVzPTp6dcEDTmdBb3raenF/rWvYEml5tZkJGhZMSIBhw8qGP48HSeeiqrzh+6KoK0NBXz5gkZu0rlwemUc/XVFsaPT6V9+8vfqkgSHDyo85Fy71bt6qtF8nqvXpf/t6wqJCYWEnOVSqJPnxyefDKT0FA3TicMG9aI3bv1rFx5qlye/L17dSxYEMXu3X40bGhn+PB0brutbnsuywNJgvXrDbz5plBx9OxpYuzYVOLjr7wtc3KyimnTYtm+3Z+bbzYzfXryFUFIKgKHQ8jivT72vXv15OYKiUxQ0IWy+JI22GlpKjZsMPDzz4Hs2SMS4bVaN//3f7ncfruZ664rqLDfPD9fzpkzak6dKty4nz6t5swZTbGtu8HgLtLnXlgN16BB3du6FxTIWbZMqBsNBjcjRqTz0EPGy7ZlfPttEDNmxBAS4mL+/LOcPKllyZJI0tNVdOtmYtSodJo2vTLUa5s3+zNtWiwmk4KRI0WwbVl+fwkJGlavDuX774Ow2+XceKOZgQOz6do1v1beCy7lW7/xxvxaWyWalqbkrbci+f77IIKCRJDcI4/UfTvFxVBP0P8jsFjkHD+u8RF277+CAsHcZDKJ+HjHuSA6G6mpan79NRCZDJ57LoMBA7LK/URwu2HDBpH8/u+/Ivm9f/9s+vXLKXEDX4/KQ16enNdei+GXX4Lo1KmAWbOSyi3R3L1bz5AhjWjc2M7KlafQ6Tx8+mkoixdHolJJvPRSKg88kHvJG5Ekia5p7xT3yBHhW2/UyE6PHkIKffXV1gqpLGw2GdOmxfLzz0H83//l8soryf+5IVBKior586P49ddAX09xly75TJyYWuEDlMsFu3f7nSPlYsCiUEh07lzgk6+f7yetTUhKUrFiRQTffReEUinxyCM5PPVUVjGZ4cyZ0Xz+eSivvZbE/ffnlvtreLu9Fy6M5ORJLVdfbWHUqLQKBQnVJZw8qWHu3Gi2bvWnaVMb48encsMNpecgXAnweOCzz0JYsCAKjcbDlCmp3Hln3ZXwVxYkSahK9u71823ZvXJ2lcpD27aFafEdOlh8Ke2bN/szebJIab/vvlxycpT89ZcBq1WOv7+bm282nwuZy8fP7/IJg8dTuHU/P6ju/K17bKyjGGkXm3cHoaG1p1WnJBw/rmHmzBh27fKjXTsLkyenlJgjcyk4nTLmzo1izZpQrrsun4cfzuHddyM4flxL27Yimf1KucYVrU9r3tzGnDmJXHXVxe+ZkgRbt/rx0Udh/P23AY3Gwz335DJwYHadGlhYrTK2bhW+9c2bDeTkCN/6tddafFL42uBbPx+HDolAwu3b/WnUyM6oUWn06GGu1c/NiqKeoP+HIUnicF+UtP/7r460NBUgHu1arZsWLQrD6Lyb9/J4jSQJdu7Us2pVGJs3B6DTuend28jAgdnExNS+C8CVAlHRFcisWTFIEkyeLOpqynMh27zZnxEjGtKypRW5XHRydutmYurUlAoTtJQUlc8ftXOnHy6X7FxNj9isX399frmyEyQJ3n8/jEWLomjb1sKiRWf/Exsui0XOe+8Jn7lcDk8+mcljj2Xxww/BLFkSicUi59FHs3nuuYwyTcXtdnHDXrcugI0bDeTmKtFoPHTtKpLXu3UzV6p8siqQkqJixYpw/ve/YOTyQmIeHl788bB2bTAzZsTyxBNZjB2bdllf8/ze31tuMTFiRPolD3p1DSaT2NR99lkoer2H557LoG/f2lmbVlU4dUrNlCkiPOq22/KYOjWlxLrJ/zKysxXnutjFlv3QIa0vublRIxtqtcSxYzoaN7axaNFZn6TdZpOxbZu4/mzaJAiDSuXh+usL6Nmz6uoYCwrkxQi7d+t++vSFW3cvYT9/615bwi+9tZxvvhmF0aigT58cXnwxncDAsp3XMjOVjBkTz549ftxzj5GMDBXbt/sTH29nxIh0br/9ylEJHTgg6tNOn9bwxBNZvPhi+kX/jna7jB9/DGL16lBOnNASGuqkX78c+vTJqTOS6dJwqb712uZb91b6zZsXRUKCls6dCxg7tu4Fkl4K9QS9HoCoYFmwIJKvvgohMtLBY49lExDgKSaTN5sLV5yxsY5ipP2qq2zExzsuKQs6flzDqlVh/PRTEJIEd96Zx+DBWVWSbFkPgeRkFZMmxbF7tx933ZXL5MkpZb5hu1wwaVIcP/8ciFIJL7+cxP33V97myGyW89dfBjZsMPjquLRaD9dfL/rWu3UzlTkxe906AxMnxmEweFi8+MwVd7H2wuMRhHDRItGNfs89uYwYkUZUVCEJzclR8NZbkXz1VTDBwW5Gjkzj/vtzL3h+ms1yNm8WIW9//eWP1arAYHBzyy0ief3GG82VHixXFUhNVfHuu+F8800QMhk8/LCRp57KLHGItGOHnmefbUyXLvm8/faZSsvHsNlkfPJJKO+/H05+vpz77svl+eczqrxnvqrhdouwnrfeiiQ3V0Hv3qI2ra4fSisKlwtWrQrj7bcjCAgQzRk9evz3MjDKCptNxsGDOjZvNvDll8GYTIWpkSEhrnPVbiJ4rnVrGyqVhNsNe/fqWb9eKHiSk9XIZIXVnj17mqs8idnjEXJ878a9kLxrSE8vvnWPiXEW2baLjXujRnbCwmpm624yyXn77Ug+/zyEoCA3o0encd99F1e77d2rY/ToBphMClq1srJ3rx/BwS6GDMmgTx/jFVNz53LB+++Hs3x5BKGhLmbOTKJLl9IVQFlZCtauDWXNmhBycpS0aGFl4MBs7rorr87ZIcqKU6fUvqae2uxbPz9I7u67cxk+PP2KWfzVE/T/OIpOXPPyFAwYIDZu5/vRJQnS04tu2zUcO6bl9GkNHo+46ut0Hpo3P9/bbiuxniItTcXq1aF8+WUwFotIfh88OIvrrqtPfq8KuN2wcmU4S5dGEBbmZNasZK699uKy1OPHNUybFsuBA3patLBy9KiOe+7JZebMpCqpHXI6ZezcqWfDBrHBTU0Vh7L27Qt9602aXPxQdvSohuHDG5KdrWTGjORyJbDWBezapef116M5dEhHu3bCZ96uXene6UOHtMyeHc3evX60bWth0qRUoqMdbNggDr7btvnhcskJC3OeC3kzc+21FfeAVjfS0pS89144X38djCRB795Gnn46s9iwoiiSklQ8+mhTgoLcfPLJyXJV55QVeXkK3n03nE8/DUEmE6E2Tz2VWeahWG3C7t165syJ5vBhHZ06idq0Vq2uzMFXeXH0qIbJk+M4elTH/fcbGT8+tdb6N2samzeLlPb/Z++8w5ss1zD+y2rSke7dshFEkaWIgLJxL3CxBY6oCCJTQEWRjSBTwcVeHhT1uBUoBZmCLNmj0J226UratJnf+eMlaUsZLXRC7+vqRRUoaZN833s/zz2sVpHSfued+S5J/KFDHq6MHLXawd1359GqlQiea97cdGlRoL5U3+bNyZPCItWwYf4lsl7xwZQmU8HWvXBQXWysukhitJeXvdjGvW5dM3XqVMzW/dQpDdOmhXPkiAetWuXyzjtJxVpPJAk2bvRn5sxQ3N1FvZ1SKZLZBw+u/snshREf78bEiZEcOeJx3WXFmTNq1qwJ5JdffLBa5XTsaGDAgPTbrp3oWr71zp2NPPigsdKvezk5cpYtC2LNmgAkCfr3F/fcyn5cN4sagn4bIybGjenTw/n7by+aNTPx/vtJpd5k5+fLOH9eXcTXfvq0huzsgil5WJiFxo0FWXdu2+vUsaBQCK/0N9/4s3ZtAOnpKu66K49Bg9Lo3r0m+b08cOyYOxMmRBIX58bAgXrefDO1GBmzWgWZ/+yzILRaB++8k8Qjjxj48ssgFi8OoU+fdCZMSC7Xm5QkwenTGpfkynkocyb/du5spHlz0xVfI+npCkaPrs3Bg54MGZLK8OGp1b7HOCFBxfz5ofz5pw8hIaLG6vHHS6ZkkCRYvTqAJUuCLzU8iDq8WrXMrpC3Zs3yqtXPKCVFEPNNmwQx79EjiyFD0q65rc7NldOvX31SUlSsX3++3IPtkpJUfPppMD/95IuXl4MhQ9Lo0ye9yshhrwWdTsm8eaH89psvISFWxozR1XiurwCrVcbSpUEsWxZEcLCVqVMTeeCBW9uPXxpYrbB4cQgrVgTRuHEeH38cT506xd93er2Sw4cL0uJPnnTHZhMvtgYN8l3Bcy1bmpDLJbZtE4nwzmrH0FALXboI33qrVpW33XM4xCLj8mq4ixfd0OkKanFlsoKtu7MWzkngg4LKduvucMD//ufL/PmhGAwKevdOZ9iwVLy8HJjNMqZMCefHH/1QKCQkCZ59ViSzV+WMkdLC2cgwa1YYCoWw+z3xRPHhvcMBO3d6sWZNIHv3euHu7uDppzPp1y+9ygahViScvvXo6AIbSlXyret0KhYtCuann/zw87MxdGgqzz9ffYPkagh6JUCSICHBjVq1KucNn58v48svg1i+PBB3d4mRI3U8//zNp346IUkiYbswYT97VsOFC2rsdnHnUasdNGyY7+pur1cvn/Pn1WzcGEBsrJrISAsDB+p55pnM2y70q7xhMsmYMyeMb7/1p0mTPGbNSnB10p46peH99yM4edKdRx/NYuLEZJeUVZJg7txQVq8O5I03Uhg6NK3CHrNO5/Sta/n7b7H19fOz0aGD2Ky3bZtTRIpttcqYNi2M777zp2vXbGbMSKyW1U+5uXK++iqI1asDUChg0KA0Bg7UX9ejL0m4tk5btnhz5owYcPj728jKkqNWSwwblkqfPtXLQ5yaqmTZsiC+/dYPh0PGM89k8uqradeVtDkcMHJkbbZv17J0aSzt2uVU0CMWg6YFC0LYuVNLaKiFYcNSeeqprCo5gDSbZaxcGciyZUHY7TBokJ7Bg9Oqhc2hMnH0qDvvviv8rL16pTNqlO62/5klJ6sYN64WR4548NJL6YwbpyvxcCovT8axYwV97EeOeLgsdgEBVhdZb9Agn5QUFdHR3uzeLbZ73t42OnUSZP3y+0JlwmSSERtbQNgLk/e8vIKLgaenvUg1nJPE16ljuamzUHa2gkWLgvnmG38CAmwMHpzGunUBJCYK9UKHDiKZvWHDWys7IzNTwYcfhrN1qw+tW+cwfXpisUFuXp6Mn37yZe3aAC5c0BAcbKV373ReeCGzJtD4KqjKvvUTJzTMnRvK/v0iSG70aB2dOlW/ILkagl4JWLEikKVLg1i16kKFywV37/Zi2rQw4uPVPPFEFmPHJpdL8MqVYDbLiIlRF6uAy8ws2LYHB1sJDLSSlqYiLU2Fj49Ifu/TJ6PKB1RVN0RFaZk8OQKTSc6oUToyMwX58fGxMWlSEl27FvdVShK8/34EP/zgx4QJSfTtm1Hhj9tolLNrl0gf/esvLUajArW6qG89MNCOJMG6dQHMmRNKw4b5LF4cV228Sc6tx6JFwmf+1FOZjBiRclXptvPvHDni4UpeT0gQFoGWLU2ujvLISCsXLrgxe3YYu3ZpqV8/nwkTqn4Kt16vZNmyQL75xh+bTRDzIUPSiIws2fO5aFEwX34ZzPjxyfTrl17Oj/bK+PtvT+bNC+H4cQ/uuCOfkSN1PPRQ1ajjcdamzZkTRmKiG927ZzNmjK7UzQ+3M/LyZCxaFMLatYHUrm1m+vSEUlX33UrYvl3Lu+9GYLPJmDw5kUcfNdzU13M44Nw5dZHwucREsZHWaBzcc4+Jpk3zcHNzEBfnxu7dWrKzRchl27YFIZdVMdBP2AeVRTbuTt97cnLRrXtYmPWK9XDBwSXfuv/7rzsjR9YiNVV87dBQS4ksb9URf/0l6tOysxWMGJHCgAFF69NSU5V8/bU/33zjT1aWkrvuymPAAD0PP5xdrQbXVQFX8q2HhVlc9sSK9q07W1Y+/jiUixfVtG6dw5gxumqVTVRD0CsBqalK+vRpgCTB+vXnK0RKlJam5KOPQvn9d1/q1DHz3ntJVUKKJ0mQnq4sQtjPnFETE6N2Jb+CuDnVq2eme3cDrVvn0qhRfpW82VY36PVK3nqrFkePegLQvXs277+fdM1hiM0GY8fWYutWH2bMSOCpp7Iq6NEWh9UK//zj6UqFT0oSpPSeewqmuMnJKt5+uxYqlcSCBXG0bFm1K2IOHBA+85Mn3WneXPjM77nnygd9q1XG3397smWLuDGmp6tQKkXycdeuV08+liSIjtby0Ueix7pbt2zGjq16hEyvV7BiRRAbN/pjtcp46qksXn01tVR927//7s24cbXp2TODyZOTKpUQSxL88Yc3ixaFEB+v5r77chk9WnfV57cicO6cmlmzwti3z4uGDcXA5lqhSTW4Nvbv9+S99yLQ6VQMHKhn2LDUWzZM6nJYrbBoUQgrVwbRpEkec+fGl1uYW2qq0tXFfuiQB6dOuWO3y5DJJBo2NBMRYcFikXHmjBq93g25XKJVK5PLt17VrnVXgskkIy6uYON+ta27h4e92Ma9Xj0LtWubi6itjh/X8PbbtYiLUyOXS6hUDmw2OQMG6Hn99bRqqTK7EvLyZMybF8rXXwfQsGE+s2YlFLFvnjypYc2aAH77zQe7XUaXLgb690+nVStTlRiYVnfo9Qr++ktLVJQ3e/d6kZ9feb51qxU2bfJnyZJgMjOVlbZYuhHUEPRKwunTagYMqE+dOhZWrrxQbhdGu10EgCxaFILFIuOVV9IYPFhf5X2QVquMmBg3zpzR8PffnuzerSU1VYmz/g0gKMjq8rQ7P+rVM9dMPksIs1nG0qXBrFwZeCkcRoa3t4MpUxLp2PHaqcRms4xhw+pw4IAn8+fHVYkUYyHr1hAVVdS3Xru2mVatTOzZ40l6upL330+iR4+syn2wV0B8vPCZb97sQ2iohdGjU67o+zWZ5OzcKeqInAoCd3c7Dz0kNkUPPVTym5/ZLGP16kC+/DIIhwMGD9YzaFBaqWruygMZGQpWrAjk668DsFhkPPlkFq+9llbqw/7x4xpefrk+d92Vx1dfXawyRMlqlfHtt3589lkwGRlKunfP5q23Uq7ozy0vZGeL2rSvvw7A09POsGGpvPhiBkrl9f9uDa6NnBw5c+eGsmmTPw0b5jNjRsItH653M5L2soDJJOfff92LyOJzcwWJ9fOz4ednw2BQoNeLA8Kdd+a5EuEbNao6FVIlgdNGWJiwOz9PTlYhSQXfTFiYhbAwK3q9krg4IUOuVy+PVasuIEkyFi4M4bvv/AkOtjJuXDKPPFK9q9SOH9cwcWIkFy5o6N9fz1tvifo0u11sVNesCeTAAU88POz07JlJnz7ppRr41qB0qCq+daNRBMk980ymq9qxqqOGoFciduzw4s0369Chg5EFC+LK3JN44oSGqVPDOXbMgwceyOG995Iq9ABY1tDplHz5ZRA//uhLfr6CoCAr7u4OkpNVWK1i265UOmjQwFyItJtp1CivwmT81QVHjrjz/vsRxMRo6NEjk7Fjk0lNVTFhgkglfvHFdMaO1V2TqOXmynnllbqcOaPhs89iq5xEzulbj47WutLKlUqxMejUycCMGfFotZV/jcvJKfCZK5Wiz/zll4v6zLOyFERHizo0Z5Kqr6+Nzp1FHdoDD+Tc1GFYp1Px8cch/P67L2FhFsaN09GtW8Uf1DIzC4i52Szj8cezee211BsK6ElLU9KrVwMUCokNG86XuK6vIpGbK2fVqkBWrgzAapXz3HMZvP56arler+x22LRJ1KYZDApeeCGDYcNSaxRJ5YAdO7yYPDmCzEwlr72WyiuvpN2SA5DoaCFpt9vLRtJeFrDb4exZjYuwHz7s4ZKMq1QO1GqJnBw5IKS43bqJzXrLllcOH60uyM+XERsrCPvp0+5ERWmJiVFf+t2CC7q7e8HWXaNxsG+fF0lJbrRuncOkSUnVhsQ4Ubipxt/fxrRpCbRtm4vJJOeHH4S/PD5eTViYqBHu2TOz2qd8Vzdcz7feqZORO++sXsOy8kQNQa9kbNjgz4wZ4fTrp2f8eF2ZfM2cHDmffhrM+vUB+Praefvt5BInPlcHGAwFye96vYomTfJ4/PEsAgJsnDtXEEqXmlqwSvf3txXrba9f31xlNmoVhfx8GZ98EsKaNQEEB1uZPDmJ9u0LArMsFhmLFwezalUgdepYmDUr/pqenawsBQMH1kOnU7Fs2YUq6+/JyRFbZ2domtUqRyaTaNvWSPfuRjp1MhIYWLGptXY7/O9/fixaFEx6uoqnnxY+c6flRadTsXWrkIn9848ndrtIKxbJ60Zatswt88P+/v0ezJwZztmzGtq0yWHChOQKCQ3KylKwalUg69f7k5cn57HHBDG/Xq3e1WA2yxg8uB5nz2pYvTqGO++smq9LJ/R6BZ99FsymTf6oVA5efjmdgQP1eHqW7QHyn39EbdqpU+7cd5+oTSttc0cNSofsbAXTp4fx22++NG1qYvr0RFcoZ3WH1QoLF4ayalVguUvaywI6naoIYT99WnOpJtZ5DpDh6SmkuE8+mc0DD+RUy5Bas1nG+vUBfPllEDk5chQKCbXawfvvJxMYaCvW7Z6UVHTrDiJlvn17Iw0bFkjmQ0KsVfIcmZCg4p13Ijl0yJNHHslm0qQk8vLkrF/vz7ff+mM0Kmje3ET//nq6djXckkOy6oiq5luvaqgh6FUAs2eHsnZtIO+8k0Tv3jfujZAk2LzZm9mzw0hLU/LiixmMGJFSLl2/VQFms4yff/Zl5cpALl4Uye8vvyyS393dJTIzFZw9WzSQ7tw5NRaLc9suUbeuuRhxL+uak6qCgwc9eP/9CGJj1bz4YjqjRqVcteN03z5P3nknkowMJcOGpTBokP6qW4WUFCUDBtQnL0/OypUxN0yqKgpWKyxYEMqaNSIZ3Vnn06xZgeSqfn1zub4G9u8XPvNTp9xp0SKX8eN1NG2aR0yMG1FRIuTt2DEPQNQMOUPeKqLv12aDb77x55NPgsnNFbU8Q4emlltn+KpVAaxfH4DJJOeRR7J5/fU0GjS4cQIjSfDeexH8+KMf8+bF0b175W/zSorYWDcWLQrhzz998Pe38dprqbzwQuZN99IXVkiEhloYM0ZX7aWs1Q1//OHNtGnhmExyRoxIoX//9GpVbXg5kpKEpP3oUQ969RKKq6punbscublyjhxx5/BhTw4c8ODoUQ/M5oInRaGQaNgwn+7ds3nhhQz8/av2WcrhgF9+8WXx4mCSk92oU8dMbKwbjRvnM39+3FWl3M6t+8WLao4fd+fPP71JTFQjk0lFiLu7u8Plcy8cUlenjrlS0vIlCX780ZeZM8OQyeCdd4RKdO3aAP780weAbt0M9O+vp3nz2zOwsbogPV3Bjh1Vw7deVVApBF0mky0HngRSJUlqeoXf7wuMR+hxjMBQSZKOXO/rVleCbreLCqAdO7QsXhxLhw6lrwBKSFAxY0Y4f/2l5c4785g0KYlmzW6PC5LDAdu2aVm+PIijRz3w87PRu3c6vXsXT3632SAuzq1Ib/uZM5oiaal+fmLbfscdBcS9QQNztTt8OGEyiXTh9esDCA+38uGHiSUKgcrOVjB1ajh//OHDvffmMmNGwlVT0OPi3BgwoB5KJaxZE3PNPuqqgv37PRg9ujY2m4yuXQ2cO6fm+HFBimvVMtO5s5jitmhhKrOJe3y8innzQtmyRfjMR41KoVYtyyVSruXCBQ0A99xTkLxeWVLDzEwFixeH8O23fvj52XnrrRSefbZs6hgNBjlr1gSydm0AOTkKHn44m6FDU8tkW79qVQBz54ZVeBVgWeLYMXfmzQth/34vatUyM2JECg8/bCj1zz4/X8aKFYEsXx6EJFWdjIHbFXq9kg8/DCc62pt7781l6tSEaul/3bZNy3vvReBwyPjww0Qefrj6DMGuBZtN5Jj8848nUVHeHD+uKRTGJuHtbad5cxNPPplFx445Za5wuRns3u3JvHmhnD7tzp135qHRODh82JMnnsjigw8SS/2eP3DAg2nTwjl/XkPTpiY6djSSna246tY9NNRyxaC6kBBruQyisrIUTJkSzubNPrRqlcvjj2fx88++HD7siZeXneeeE/7y6tLcUoMC5OXJ2LtXNPVc7lvv1EksUarDGfNmUVkEvQOQA6y+CkFvB5yUJClTJpM9BkyWJKnN9b5udSXoIAJOBg6sR2ysG6tXXyix7NBqlbFqVQCffx6MTCYxfLjoNr4dJTySBIcOebB8eSDbt3vj7u6gR49MBgzQXzexNTtb7tq2Oz/OntWQny/uLApFwba98EdISNXetv/9tyfvvx9BYqIbffqk89ZbKaUKJJQk+OknX2bMCEMuh3ffTeKJJ7Kv+GdPn9YwaFA9AgJsrFwZUyU9v5cjIUHFm2/W4cIFNePHJ9Oli4Ht28UU9++/PbFahde7Qwchg2/fPueGAh1zcuR88UUQa9eKrf2jj2ahVkts365Fp3NDoZC47z6RvN65s+GadWoVjRMnNMycGcbhw540bWpi4sTkGx7+GY1y1q4NYM2aQIxGBd27Z/P666k0alQ2kt+//vJi+PA6dO1qYO7c+Gq9oZQk2LnTi/nzQzl7VsPdd5sYNSqlRMM1SYItW7yZOzeUpCRRmzZ2rK7msFoFIEmiQnH27DDsdhg7VscLL2RW6fuIE1arjAULQli9WkjaP/44nlq1qrZi6maRmKjixx992bbNm3Pn1K68G5AICrJx//25dOwovOuVcd0+dUrDvHmh7NnjRUSEhV690tm0yY/4eDVjx+ro2zf9hl9bVits2BDAp58GY7PJGDxYz3/+k4ZGI2E2F2zdLw+qy8kpkNtpNA7q1DFf2rYXJvCWGw5H3rXLi0mTIsjIUPDggzmcPashKcmNyEgL/frpefbZrCo1PKnBjcNuF9WAUVHexXzrTin8repbrzSJu0wmqwv8fCWCftmf8wOOSZIUcb2vWZ0JOgipcJ8+DZDJRP1acPC1L/b//OPB1KliwtmtWzbjx+sqJA2xOuD8eTUrVwby888+SJKMhx/OZtAgfamSdO12iI93K9LbfvasxtW/CuDtbbsURFd4255f6Ruq3Fw58+aFsHFjALVrm5kyJZF7773xerGEBBUTJ0Zy+LAnjz2WxXvvJV1R8nzokAevvlqXevXMLFt2oVpIknJz5UyYEEl0tDcvvpjOhAnJqFTi/zv71nfs8MJgUOLm5qBNm1zXFDco6NrvUbsdfvjBj4ULQ8jMVFKrlpnsbAUGg+jobdeuoKP3WtV2lQ1Jgp9/9mH+/FDS0lQ880wmI0fqShxmlpMjiPnq1YKYd+li4I03UsvU/xwTo6Zv3/pERlpYtSqmUiSX5QG7XchWP/lEyFbbtzcyalTKVX92Z86omT07jL//9uKOO0Rt2v33V60AxxqI1PNJkyLYt8+L9u2NfPhhYoVUrt4oCkva+/RJZ8wY3W2X4QLw778aNm70v9QsU9QgGxho5f77c2nVykSLFrk0bGgut8C5pCQVn3wSzM8/++Ltbee119IIDrbwwQeRqNUSc+fGl1lwa2qqkrlzQ/ntN18iIixMnJh81aYXZ3WuqIVzK9LvnpSkuuT5FwgOLuh1dxL4evXMhIZeeeueny9j/vxQ1q8PwMfHhsUiJy9PTqtWuQwYoKdTJ2O1DvirwfVx4YIb0dHCt374sPCth4Y6fetGWrfOvWlLWFVBdSDoY4E7JUl65Sq//yrwKkBYWNi9f/75Z1k/1DKH3Q5yOVec+Jw6pWHAgHrUrWth5corHzIzMxXMnx/K99/7ER5u4Z13rn6xvN2RkqJk3boANm70JzdXQdu2OQwalMYDD+Te8MTNaBTbdidhF7+qXVI4mUyiTh1LkU1748b5hIVVTMDK7t1eTJ4cjk6nYsCAdIYNSymTgYHNBsuWBbF0aTDBwVZmzEjgvvuKk/6//vJixIg6NG9u4rPPLlaLkB27HRYvDmHZsiBat85h3rz4IoTZZoNDhzxd6aMJCWJIc889JtcUt2HDor717du9mD49nORk0cHrcMjQau106GCkWzcD7doZqx2JzM0VSoDVqwNQqyWGDhWKnasFueTmylm/PoBVqwLIzlbSqZMg5mVdOZWdLadPnwbk5Cj4+uvzt6T8zWyW8fXX/nzxRRBGo4Innshm+PAUlzooO1vBJ58Es3GjP1qtneHDU3n++ZratKoMhwP++19/5s0LRaWSeOcdoVCqatugqCgtkyYJSfuUKYnVKtehPJGaqmTLFm9++cWHY8c8cDhkrms9gKennRYtTLRsKT6aNjXd9DU/O1u0fqxfH4BMBn37pjNwYBpr1gTy5ZfB3HOPiXnz4splm79vnyfTp4dx4YKGTp0MTJiQXKo+ebNZRlzclbfuRmPRrXvt2mLL7ty4AyxcGIxOJ7zxcjk88kg2Awboq2w4bQ3KFxkZCrZvF2eyPXuEb93Lq6hvvTpncFVpgi6TyToDS4AHJUlKv97XrC4b9J9/9mHJkmC6dTPw8MMG7r4777KDvZYRI2rTsaOR+fML6tec0riPPw4lJ0fBgAF6Xnsttdod8isDRqOcjRuLJr8PGqSne/fsMjnAOhyQmOjGmTOi2uTMGTVnzmiIj1e7/oyXl70YaW/YML/Mnj+DQc7cuWF8/70f9erlM3VqYrkEo/z7rzsTJkQSH+/G4MF6hg1LLTax/O03H8aPj6RDB/Eari5JnD/95MPkyREEB9tYvDj2ip5oSYJz59SuKe6//wrfemSkhTZtjDgcsku+KfFNa7V2Hn00i27dbp3p7sWLbsyeHcbOnVrq1RNb2nbtCrY1JpNI0F21KpCsLCUdOxoYOjS1XA5SNhsMHVqXAwc8WL78Ii1b3rhSpDogO1v0ua5fH4DDAS+9lEFQkJXlywVxf+GFDIYPT63SiowaFEVsrBvvvhvJkSMedOsmUqj9/Sv/+bNaZcyfH8KaNYHcdZdIab/VJe03CoNBzs6dogpzxw4v8vMVKJUONBrJJflWKiXuvDOvCGm/ngrLicsHdE8/ncXw4am4uzsYPz6SXbu0PPdcBhMnJpdrXo7VKmPNmgA++ywYSYIhQ9IYOFB/U2oKsXVXFNm2O8l7YqJbka27TCYRGmrlvvtyueuufNf2PSysfLzuNageyM93+ta1REd7X/KtC+tgp04GunSpfr71KkvQZTJZM+B74DFJks6U5GtWF4K+bZsX69YFcOCAF3Z7QQdn9+4Gmjc3IZfDunX+zJoVzoABesaN03H+vJqpU8P55x9PWrbM5b33ksrMt3k7wWJxJr8HcOGChogICwMG6Hn22cxyGXTk5so5e1ZdLJQuN7dg216rloXGjUUonZO8R0SU7mazfbuWKVPC0euVDBqkZ+jQ1HK9SZtMcj76KJRNm/xp0iSPWbPii6W3b9zox9SpETzxRBYzZiRUm5vn0aPuvPVWbfLy5Hz0Ufx1QxsPH3Zn9epA9u71vLQFELU9fn42evXKoH//9Goh9S8tJAl27NAye3Yo8fFqunYVG90dO7xZuTKQzEwlDz1kZOjQVO65p/wCK2fNCmXdukCmTEmgR4+scvt3qhp0OhUffhjOzp1egIzISDOzZ8fTrFnNNqk6wm6HVasC+eSTYLRaB++/n0jXrpWnjEtMFJL2f/+9vSXtNwKzWca+fZ4u32xGhhK53EF4uBWFQrx3nWnxEREWWrXKdZH2Bg3MRe6VIpndh08+CSEpyY0HHzQycqSOxo3NnD6t4a23apOSomTixGRefDGzwr5HnU7FRx+FsnmzD3XqmHnnnWTatSt9wPHVYDDIWb48kFWrArHZ5Li52bn/fhM+Pjbi4wWRL7x1V6sd1K5tKSSXL9jAX62tpga3Jpy+dWeFmzN8984783j99dRKva6WBlWSoMtkstpAFDBAkqTdJf2a1YWgr1/vz8yZ4Wg0Dry87NhsMrKzFUiSDC8vkRLaqZOBf//14Mcf/Wjf3si+fV54etoZPbrskpRvZzgcgtQuXx7I4cOe+Pra6N07g9690/HzK9/NhSQJ/1jh+rezZzXExrq5UlE9Pe2FCLuZxo3zaNiw+I0mO1vBrFlh/PyzLw0biq1506YVl96/dauWyZMjyM+XM25ccrGwo6++CmThwlB6905n4sTkKifdvBp0OiUjRtTh1CkNo0alMHCg3vXYJUkk/W7dKpLXz5xxB0SQoN0u4+67TYSFWdm/35PsbCUqlYP778+lSxcDnToZr5stUd1gNstYtiyQL78MulRZJ+OBB4y8+WZquTdJbNrkx+TJEfTrp2f8eF25/ltVCcnJKubODeXPP30IDLQSHGzlxAkPgoOtDBuWytNPZ9ZI26spzpxR8+67kZw65c5TT2UyYUJyhcs0t27VMmlSJABTpiTSrVuNpP1GYbfD0aMeREWJ7bpQ1Uk0bGgmPNyC1Srj9Gl3MjLEG1arLZDFq1QOfv7Zl9On3WnSJI/Ro3U88IBQKv3yi1B7eXvbmTcvrtJqxHbt8mLmzDBiY9V0757N22/fXBZSXJwba9cGsGmTHxaLHLlcom9fMSAq7C+XJCFxdsrlnd3uFy+qSUhww24vOGwEBVmLVcM5t+41nvVbHxcvir716GgtAwboawj6tSCTyTYAnYBAIAX4AFABSJL0mUwm+wp4Doi99FdsV3uQhVFdCPrp0xr27vUkJUVFSoqK1FQlOp2KtDRVkYuKgATI8PS006pVLpGR4jAWEmK79Kv47xqZ+43DmfweHe2NRuPg2WczefllPZGRFSuHMZlknD9fQNqdHvfCU+KICItLHp+fL+OHH/zIyVHwn/+k8eqraZWy4UhLUzJpUgS7dmnp1MnA5MmJrgR3SYJ580JYuTKI119PZdiw1Ap/fDeKvDwZkyZF8scfPjz1VCbPPJPFX3+JQ1ZCghsymThkZWUpSEtT0apVLm+/neyScdtscPiwh2uK67Q73H23yVXhdscd5du3Xt7Iz5excaM/y5cHkp6uIiDASnq6irAwC2PH6ujevfy6tv/5x4NXXqnL/ffn8umnsbcFIc3Lk7FiRRDLlwcik8HgwWkMGqRHo5E4cMCD+fNDOXrUgwYN8nnrrRQ6dTJW69fX7QqrVcbnnwfx1VdBBATYmDo1sUy3k9f6d+fNC2Ht2kDuvtvEnDnx1bIGrqpCkkSA7dat3kRFeXPihBju1quXT+vWufj720lLU7Jvn5cr5wSEyq5TJyOtWplo2jSXVauCWLs2kFatcvn443gCAyt36GuxiDrHL78MQi6H115LZcCA9BLbuSRJ1LqtWRNIdLT20v+TceedecyfH1fqs5jVKiM+3o0LF9wKSeZFaJ3BUHCjcHMTW/fCG3fn5zVb9xpUNiptg14eqC4E/WpwOEQA3OHD7ixYEHapTkAQdJDw8HAgSTLy8oqvz7VaeyHCbivyuZPE+/nZazbv10BMjEh+/+knHxwOGY88ks3AgXruuqvyJKOSJLZlzjC6M2c0nDypJi5OjXhdCGlXYYm88/OK3Lo4HLBhgwg78vJyMHVqgksaLknwwQcRfP+9H+PHJ9Ov33XjJKoErFYZe/d68sknwZw4IXzmCoWDtm1zadnSxKFDHuzcqSU83MKoUToeeeTqZFSSxOvLGTJ39Kj4ehERFjp3Nlw6fOVWG6++2Szj22/9+OqrIPR6FW3a5PDGG6m0amXiwAEPZs4M48wZd9q0yWHChOQy6TcvjKQkFb17N8Db287atefx8bm1D1OSBH/+6c3HH4eSnOzGI49kM2aMrpinzlmvtmhRCBcvqmnVKpdRo3S0aFE527Ua3ByOHXPnnXciuHBBw4svpjNmTOlqMkuDhAQhaT92zIN+/fSMGpVSI2kvZyQnq9i2TdR6Hjjgid0uQ6NxkJ8vw93dwSOPZOPra+foUQ+OHXPHYik4wNWrl0/fvuncd5+JevXMVeJsl5ioYtasMKKjvalfP5933km+Zi2k1Srj9999WLMmgJMn3fHysuNwgNksZ/jwFAYN0pfphluSxBn78o37hQvFt+6BgVZXLVxhAh8ebqnZutegQlBD0KsQ7Hb4+mt/Fi8OwWaT8eqrafTunc7mzd7MmBGOxSJDkmR4eNi5775cmjbNIzjYSmamktRUsYkXG3kVer2ySLAGgFLpKETebVcl9Lf7TTk1VcnatQF8840/OTkKHnhAJL+3bXvjye9lAUmCP/4QrwWjUU7Pnpk0aZJXZOuenV0wHQ4PF9v2O+4oqICrXbt8by5nz6qZMCGSM2fceeklIUtzd5ew2WDcuFps2eLD9OkJPP10Vvk9iJuAySRn504vtm715q+/tBiNCtzdRbjfiRPu+Praads2h19/9UGlkhgyRE///vpSJ9Xr9Uqio7VER2vZs8cLi0XuSnjv1MnAgw/mVMkJvtksY9MmP5YtCyI1VcV99+UybFhKsTR/mw2++cafTz4JJjdXQe/e6QwdmlomQyOTSU7//vVITnZj3brz1Kt3a4dWnT6tZtascA4c8KRx4zzGj0+mdetrB+FZrfD9934sXRqMXq+ia9dsRoxIKZYTUYOqj/x8GYsXh7BmTQAREVamTUu4qcrMK6GwpH3q1IRqIwG9VZCdLWfJkmD++1//S0nwYLcXtH506WLAy8vGhAm1MRjkNGpkRqdTkZkp7vc+PjZatDC5pPFNm+aVawbN9bB9u5aZM8NITHTjsceyGDtWV8TalZmp4Jtv/Pn6a3/S0lTUq5dPcLCVffu01K+fz8yZCRW+GBFbd9UVJfNZWcW37pdL5uvWNVfrxPAaVD3UEPQqguPHNXz4YQQnT7rTrp2R995LLpKWevy4hoED6xMSYqVFi1y2b/cmK0uJu7uDBx800r27gQ4djHh6iguEzSa6KJ3EXadTXfq8KJG/0jbez08Q9sLbdyehdxJ5b2/HLS+dNBrlfPutP2vWBJCWpuLOO0Xy+8MPl03ye2mg1yuZNi2MrVt9uPtuE1OnJnLHHUW3kpIkhguXe9svXFC7JsMajYOGDfOLpMk3amTGx6fsfPcWi4xFi0JYtSqQ+vXzmTUrgSZN8rFYZLzxRh0OHPBk3rw4unSpGofAzEwF0dFii7F7tyDLfn42OnUy0rWrgQceyEGplFiyJJivvgrC4YD7789l1qyEEifwXgsmk4w9e5x961oyM5Uolc6+dUHYy6MypzSwWGR8950fX34piHmrVrkMG5Z63X7tzEwFixeH8O23fvj52XnrrZvL0HA4YPToWmzb5s2SJbG0b1/+st/KQlaWqE375ht/vL3tvPlmCs89l1mqAZvJJGf16gBWrAjEbJbTo0cmb7yRWiav2xpULPbv92DSpEiSkkR95ptvptw0Cbtc0j53bnyFW7tuZ1gsMjZsKEhmf+qprEsNDDb27PEiKsqb7du1lwiihFotMXBgGn36ZODnZ+fiRTcOH/bg0CFPDh3yuKS6BJXKwV135dOypVB7tWhhqvBWgPx8GcuWCTuOSiXxxhupPPCAka+/DuTHH30xm+W0b2+kUycjGzb4ExOjoU+fdEaN0lW5albn1t2ZLO+UzSckuF3KXRHw97cV8bg7u93Dwy23hQWrBmWLGoJeyTAa5SxeHMLXX/sTEGBj/Pjkq0plt23T8tZbtena1cDs2fEcPOjJli3ebN3qjV6vws3NQbt2OXTvbqBjR8N1ZZ+SJP59J3FPSSkg7oVJvDO8pDA0GscVSHzRbXxgoO2WuChZLDJ++cWHFSsCXcnv/fvr6dGjfJLfC0OSRC3f7Nlh5OXJeeONVF5+WV+qn6vFIuP8+YIkeSd5d07fAUJCrEXq3xo1yqdOHfNNPX9793ry7ruRZGQoePNN8bjNZjlDhtTl1CkNn30WS+vW1yZ45QWdTsXWrYKU//OPkBaGhlro2tVA164GWrY0ub73ffs8+eijUM6cceeee3Ixm+WcOePOG2+k8PrraWU6qLLb4cgRD5cUPjZWHLiaNMmjc2dRFdKoUX6FDcesVhnff+/Ll18GodO50bJlLm+8kUqbNqVTk5w8qWHmzDAOHfLk7rtNTJyYfEOhRp9+GsxnnwUzblwyAwZUD6tEaWGzwcaN/nz6qVAfvPRSBm+8kXpTQ7T0dAVffBHMxo1+qFTQr5+ewYP1VVKlUYOrIzdXzscfh/LNN/7Ur5/PjBkJN1xdGB8vJO3HjwtJ++jRKbdEBWR1gMMBv/4qktkTE91o397IqFEpNG5c9Lm0WGTMmBHGpk3+hIaKhY1O54ZcLtGihYkuXQx06WJw5QRkZCg4fNiDw4c9OHjQkxMnNFitYhpat675UrWbSIyvW9dSIfeR2Fg3xo+P5PhxYetSKh0880wWvXuns2uXlsWLg/H1tTNtWmK1G7harZCQ4HbFerjCW3eVqnDCfEG3e9265lvenlWDG0cNQa8kOOXKs2eHkZ6upFevDN58M+W6dUyrVwcwZ04YgwalMXp0CiAO9YcPe7BlizebN/uQkqJCqZRo00aQ9S5dDDeVTG6xyEhLU16RxIv/Jz533gickMslAgKKbuMvJ/EhIbZy89SVNZzJ7ytWBHLokCc+PgXJ7+UxnU5JUTJ1ajjbt3vTrJmJqVMTykyiKkliK1+YtJ8+reHiRbVrIuzm5qBBA3Ox7vbSvJaysxV8+GE4mzf70Lp1DtOnJ+Lu7mDQoHokJ6tYtuxCuXRjXwkxMW5ERXmzZYu367DQoEE+XboIUn7XXUWJb2ysGx9/HMq2bd5ERFgYM0ZHt24GrFYZH34Yzo8/+vHww9lMm5aAu3vZXyslCS5cKEgfPXLEA0mSER4uAoM6dzZw773l41u3WmX88IMg5snJbjRvbuKNN1JuyuYhSSJ5eN68UNLSVDz9dCajRqWUOODojz+8GTu2Ns88k8nUqYm3pIJn3z5PZs0K49w5DW3a5DB+fHIxpczNID7ejcWLg/ntN1/8/Gy8+moaL76Ycdvbmqobdu704oMPIkhPVzJkSBqvvppaquvAli3evP9+BFAjaa9o7N3rybx5oZw8KZLZR43S0bZt8UF1SoqS0aNrc/SoB4MHpzFiRApyuQgZFiFzBQ0ijRrl0aWLUHw1blxwHzObZRw/7s6hQx4cOiSIu9MG5+9vo3lzk4u033VXfpleB8xmGb/+6sOaNYGcPatBq7UjSRI5OUq6dcsmLU3JkSOedOuWzfvvJ5V7e05FIytLUWzjfvGiG/Hx6mJb98s37nXrmomIqNm63+6oIeiVgPh4N6ZPD2PXLi1NmuTxwQeJJSYpkgTTp4fx3/8G8MEHiTz/fNHeS4dDBMts2eLNn3/6kJjohkIhcd99uXTvLohIeSR+OsM3riWpT0lRFUkkd8LLy+4i8YWJe2FJvb9/1Qq4K5z8rlYXJL+XReKtJMEPP/gyZ04YVquMN99MoW/f9AoJJrFaZcTEOLftahd5T08vOP0FBVkvk8jnU6+e+aoHREmCH3/0ZcaMMBQKmDQpiXvvzWXAgPrk5spZteoC9euXbYiY8989cUIcZrZs8XZ1Yd5zj8lFyq/kXzYa5XzxRRBr1wbg5iYxZEga/funF5GTSpIYln38cSh33pnPokVxN1UtUxLo9Qp27BCJ8Hv2eGE2C9/6gw8Kj2L79jk33bdutcKPPwope2KiG/fcY+KNN1Jp3z6nzAhxbq74+a5eHYBaLTF0aCp9+mRcc3t34oSGl1+uz5135rFs2cVbjlAmJoratC1bfIiIEAn4XbuWXwL+8eMa5s8PZd8+LyIiLLz5ZgqPPZZdpa6xNbg2srPlzJoVzs8/+9KkSR7Tpydcd5hjscj4+ONQ1q8P4J57REp7RESNpL0icPq0mvnzQ9m1SwSLvvlmCo8/fuX33D//eDBmTC1MJjnTpiXy8MNXrrmLj1exbZtQUR4+7IHDIQa4zs16YSUYiPPhxYtqF2E/dMjjUuCsGMg3bZrn8rG3aGHC17f0pDk9XcHGjf58/XUAGRlKGjXKo3//dB5/PBurFcaPr8X27SKp/Yknspg6NbHahKOWBaxWSEx0K7Jtd/reC6tVlUrn1r14UF1ZWhJrUHVRQ9ArAevWiSC4N99MoVevjFITL5sNhg+vw969XixZcpF27a4sE5YkIS11btYvXlQjk0m0bGmie3cD3boZyp1UXI68PNk1JfUpKSrS05XF6uaUSgdBQbbLSHxRIh8cbKvwYJSYGDWrVgXw44++OBwyHn5YJL/f6FY4OVnFhx+Gs2uXlnvvzWXKlERq1678YCe9XsHZsxrXxv3MGQ3nz6tdqgmlUmzbnfJ4ZzCds24NxGBq4sRIjhzx4MknsxgwII033qiLQgGrV8cQHn7zr0WbDQ4e9HRtGHS6ggGV89ByNT+3zQbffefHp5+GkJmpoEePTN58M/WaA60dO7x4++1aaDQOFi6suC7avDzhW4+OFh7FjAzhW2/d2kSnTgY6dzYWS/i+FqxW+PlnXz7/PJjERDfuvlsQ84ceKjtifjliY92YNSuMnTu11KuXz4QJuitWSen1Cnr1aohMJrFhw3kCA2+dw4nJJGP58iBWrAhEoYBXXknj5Zf1FXIdkyTYvduLBQtCOHVKbPNGjtRd9X5Sg6qJLVu8mTpVBIe++WYqAwZcOfk6Pl7F2LG1OXHCnf79RUp7jaS9/KHTqfjkk2B+/NEXrdbOq6+m0atXxhXf45IE69f7M3duGBERFhYsiCtxA0Z6uoLt28UA15ml4utro2NHMcBt1y7nit5uvV7BkSMFPvYTJzTYbOK+Xr9+voust2xponbtq8viz55Vs2ZNIL/84oPFIqdDBwMDBqRz//1CdZWdLWfatHB+/10MlNRqB4cPe3LnnXm8915SpfW4VyVkZyu4cKG4ZD4uzs31nIDIiSoIpysIqouMrNm630qoIeiVALsdMjKUNxXUk5MjZ8CA+iQnq1izJua6F3Fn/+bmzYKsnz0rtonNmpno1s1At27ZVabv1G4vCLi7mqQ+JUVJXl7xU0jhgLurbePLI+AuNVXJunUBbNwokt/btMlh8GA9bduWjOBIEnzzjR/z5oXicMDIkWJ4U5U3WlarmMYXJu1nzmhITS0YhwcEWGnUyOySx9evn8+2bVq++iqYkBArQ4em8tFHYfj721i1KqYIoS8pzGZBVrduFVLwrCwlarWDtm1z6NpVVJhdbxOwd68nH30UxtmzGu69N5fx45Np0qRkQ5bz59W8+WZtUlJUTJ6cxFNPZZX6e7gZ2O1w9GiBb90ZFOT0rXfqZOTOO6/sW7fZ4JdffPn88yDi49U0aZLHsGGpdOhQcf3ZO3Z4MXt2GHFxarp0MTB2bLLrWmSxyBg8uB6nT2tYvTqmxM9JVYckwe+/+/Dxx6GkpKh47LEsRo/WVUoY4OV+2LZtcxg5Ulep9ZI1KB3S0xVMmRJBVJQ3LVvmMm1a0cHu5s1C0i6TwbRpCVUmoPNWhsEgZ9myINatC0CSoG/fdP7zn7Sreo7z82VMmRLOTz/50amTgenTE244FdxkkrNrV0HInGgjcdCunZEuXYx07Gi86hY2P1/GsWPuLh/74cMeLuWjv7+tSPDcnXfm8/ffnqxZE8iePV5oNA6eeSaTvn3Ti6jTCvJolLzxRiqDB6chlwvb0pw5YaSmqujZM4ORI1NuOal7WcBmK751dxL4olt3iVq1zEW27k7Z/I2oIWpQuagh6NUYyckq+vSpj5ubxLp1pdssXbzo5tqsnzghfExNmuTRrZuB7t2zq3x1kSSJIYWTxBf2whf+vLA024nCAXeFt/GFK+gCA603NInMyZHz7bd+rFkTSGqqisaNRfL7I49cPfk9Pl7Fhx9GsG+fF23a5DB5cmK1TtLNzFQU6W0/c0bDuXNqV4erUikRGmohI0NJXp6cNm1yOHTIk7p1zaxYcaFEMm2jUc5ff2nZssWbnTu9yMtTuCppunY10L69sUQBfrGxbsydG0p0dFGfeWnJaVaWgjFjavH3314uv2BldaU6fevbthX41sPCCnzr990nNhq//SaIeWysIOZDh6bSqVPFEfPCsFhkrF4dwBdfBGG3yxg0SM/gwWnMmBHO//7nx9y5cTzyyJVlntUNp06JwLyDBz1p0iSPCROSadWqbGuzbgQWi4z//lckSmdlKXn88SzefDOlWl+LbieIQFFfZs4Mw2aTMWaMjmefzeTjj0PZsKFG0l5RsFhkfP21eB8ZDAqefFIks19LIZaYqGLUqNqcOqVh6NBUXnstrcyG81YrHDjgSVSUN1FR3qSmqlAoJO6916kqu7bayuEQSsECWbwnCQluAMhkkqv6t1s3A6+/nlpk0WM2y1i4MIQ1awKpW9fMrFnxxdSFublyPvssiLVrA/HwEE0fpW2ruJ2RnS13SeTF5l0Q+bg4tyK5UH5+NtfGvbBkPjLScltZDKoTagh6NYezfq1Ro3yWLbtwQ/UUCQkqtm4VZP3IERGe1bBh/iUZfDZ33GGutoFMVqsz4K5AQn95Sn1qqtJFHp24POAuONhKaGjB5+K/rx5wZ7XK+PlnH1auDCQmRkN4uIUBA4omvzscsGGDPwsXhiKXS4wZo+P55zOr7c/6WrDZIC5OzZkzak6fdnf9mpJS+M4godU6eOKJLO6+O49GjfJp0MDskgLq9QqX327fPk9sNjmBgVY6dxak/P77c0ss2TQY5Hz+eTDr1/ujVgufeb9+6TclLbZaYfZskQ/RsaOBWbMSKj0lOz1dwY4dIq1+714v8vPlaDQOFAqJ3FwFDRvmM3x4Cl26VA4xvxw6nZJ580L57TdftFobRqOS115LZfjw1Mp+aDeNwpVzvr52RoxIoUePqncQNRrlrFgRyJo1gdhs0KtXBkOGpFV4TVMNbgw6nZIPPohg924tnp52cnMVNZL2CoDDAb/95sPixUKJ0q6dSGa/885rK1H27PHk7bdrYbfLmDUrng4dyi/JvHAuS1SUN+fPCyVlkyZ5rlyWhg2vft5LS1OyYYM///2vPwaDEn9/Gx4ednS6grqxhg3zadHCRGiolZ9+8iU2Vs1LL6UzZozummGq586pmT49nAMHPGna1MR77yVVWIDsrQibDZKS3K4YVFd4caVUSkRGFibtBZ/XqBkqFzUE/RbA1q1aRo2qTbduBubOjb+pyatOp3SR9YMHxfatbl2zSwZ/edL1rQBJEhvQK23jnSQ+JUWJwVB8BX69gLugIBvHjrmzalUgBw+K5PdevTJ46CED8+aJLVr79kY++CCpVJ7hWwXZ2Qo2bPBn2TLR0yxJIJeDwyFeZHK5hJ+fDYdDRmamAhAhON27Z9Otm4FmzfJK9Xq32WDTJlFhlZWloGfPTIYPv7bPvLT4+mt/Zs0Ko149M4sWxVYJ64jdLur6Fi8WkmqFQsJul6FQSLRunUvnzqX3rZcnVq4UAXwgo3XrHCZOLNs084qE1eqsTQvBZJLTu3c6r7+eWuXrdVJTlSxZEsz33/tdal7Q07+/vtyrJWtw8/jjD2/efTcSs1mGu7vEe+8J682tdu+uKti3z5OPPxbJ7I0b5zF6dMoV8zQKQ5Jg5cpAFiwIoX59MwsWxFGnTsUqFy9edHMNvY8edUeSZNSqZaZLF+Fbb97chEIhVD9r1gTw668+2O0yOnc20r+/nnvvNSGTiSyNY8cKguf27/d0LT28vW20aZN7KS3eROPGedcMlP3lFx/mzg0lI0PJCy9kMGLEzVVM1qA4DAZ5oY27IO0XL6qJjS26dffxsRXxuDt/rVWrZuteEagh6LcIxIE2jP/8J42RI1PK5Gvq9QqiogRZ379fdEVHRFhcMvh77ikdOaruyMuTkZZW4IG/kjder79SwJ1EUJAVT08HWVkK9HpB9BUK6Nkzg4ED0wkJsVZ4wF1VQmqqkvfei2TPHi8AIiPN2O0ykpOFlE6pdBQJSfHxsRXrbW/QwHxNBcnu3Z7MmSMqrO67T/jMr7fduFHs2+fJ6NG1kMth3rw4WreuHAmzwwF//unNZ58Fc/68hoYN83n99VS6dDFw/Lg7UVHeRXzrd96ZR+fORjp1MtCkSeUM4y5ccKNv3waEhVl49tksPv88iJwcZx94SpUntoWxZ48ns2eHcf68hrZtRW1agwbVa9AQE6Nm4cIQoqK8CQoSuRE9emTWhBFVQZjNMubODeXrrwNo1szEyJE6PvkkhIMHPenSxcD77yfeUM5HDa6MM2dEMvvOnVrCwkQy+xNPXL8NwWSSM2lSBH/+6cMjj2QzZUpipdfNpqUpiY7WsnWrN3//7YnVKlpC1GoHer0KjcbOc89l0rdvBrVqXXmQkJys4t13I9i/34vWrXN48EEjp08LP3tSkriXu7s7uOeeguC55s1NxWxtRqOcJUuCWb8+AB8fO6NG6Xjmmazb6rxZGbDbxdb9SkF1en0BI1coJGrVKuhzL9zt7udnrxkElhFqCPotAkmCKVPC+fZbf6ZMSaBHj6wy/fpZWQq2bdOyebMPe/YIeXFwsNW1yWzZ0lTlpJqVgWsF3MXGunH6tDtm85XvMr6+RTvjC361urzxPj633sXP4YAjRzzYssWbH3/0JStLnPy9vUVPc5cuBmrVsmIwyIslyZ89qyEvT/w85XKJ2rUtLsLu/DCbZcybJ3zmkZEWxo5NrhBJd1ycG8OH1yY+Xs077yTxwguZ1/9LZQSHQ6Q7L10azLlzGurXz2fo0FQefthwxUPOhQtuREeLkL1Dh4RyJjTU6Vs30rp1ye0DN4PsbDn9+jXAYFCwYcN5wsOtZGUp+OSTYL75xh8fH+FRfPbZqicNL4yEBFGbtnWrD5GRFsaNS6Zz56phI7hRHDrkwbx5IRw+LPIiRo7UVRlrRA3E9Wbs2FqcPOnOgAF6Ro4Ukna7HdauDWDRohA8PR28/34S3brdGnkOlQWdTsknn4Tw44++eHk5ePXVVHr3vnIy++WIjXVj5MjaxMSoGTkyhYED9VXqPWQyydm40Y+VKwNJT1e5fObu7nYeeiiHLl0MPPSQsViA3S+/+DB9ejg2G0yYoKNHj6J2vZQUpcvDfuiQB6dPa3A4ZMhkEnfcUZAW36qVibAwKzKZ6HyfNi2Mw4c9adEil3ffLb+heg2uDaNRXsznfuGC8LoXtoh6e9uKEHYRVGe5tHWvXpyyslFD0G8hWK0wbFhd9u/3ZOnSizzwQPnU5RgMcrZvF2R91y5R5xEQYKVrV1Hd1rp1bs12pRBsNiFlW7o0GHd3BxMmJNOhg5HTpzX897/+bN/uTX6+3CWRt9lkVw24U6uLB9wVJvLOgLuqLj+yWmX8/beoQ9u2TYter0KpdNCmTS5Nm5r4+usAsrOV3H23iZUrr56t4HBAQoKbq6/dSdydITYCEnK56D9/8sls7rorj4YN8ytEqms0ynn77Vrs3Kmld+903n47uVzfGw4HREV5s3RpEGfOuFOvXj6vv57GI49kl5jQZmQo2L5dS3S0N7t3C9+6l5foW+/UyXjFw1lZwGaDYcPq8PffnixbdrFYcNrJkxpmzRK2kLvuymPixCRatKha1Twmk4yvvgpi1SpRmzZkSBoDBlRMbVpFQJJg2zYtCxaEcOGChubNTYwerasSIXe3M37/3ZvJkyNQKCSmTUukc+fiKe3nzql5991ITpxw54knspg4MalaqVGqAoxGkcy+dm0ADodIZn/lFX2JJdjbt2uZODEShULio4/iadu26lQa6nQq1q/359tv/TEaFTRrZqJ/fz0dOhg5eNDzktrKea8W1qiuXQ3ce28OX3wRzG+/+dK8uYmZMxOuumEvDJNJztGj7i7SfvSoO7m54iYVHGy9JInPpUULE6dOaVi0KJSsLAW9emUwfHhKicJka1D+sNuFcsK5bS8smU9LK7p1j4iwFNu416tnxt//1ls8lQVqCPotBqNR1K+lpKhYuzaG+vXLV06Zmyvnr7+82LzZh7/+0pKXJ7o3O3c20r17Ng88UDGbt6qKM2fUvP9+BMePe9CtWzbvvptczO+ckyNn0yY/Vq8Wye933JHPoEFpdO1qICtLeZkX/voBdzKZhL+/zeWFvxKJDw62VniAmckkZ+dOUYf211/O6hcxle/aVUzlnTfd/HwZvXs34Nw5DQEBVj77LLbEk3ObDdatC+Czz4Q0un59M+7uDi5cUGMyiQOATCYkWo0bi852p1Q+PNxa5jI6ux3mzw9l1apAHnggh7lz48r8YCxJEBWlZenSYE6fdqduXTOvvZbKY4+VnJhfCfn5Mvbu9SI6Wkt0tJb0dHE4u/feXFeFW1mlQs+eHcratYFMnpzIc89dWW0gSaISbN68UFJTVTz9dCYjR6bcVGVlWUCSREDUvHnC4//EE1mMGqUjJKRyH1d5wWaD//3PjyVLgklNVdGpk4GRI1OqnXy/usNsljFnTij//a+QtM+ZE3/NtHCrFb76KogvvgjG39/Ghx8m8uCD5RdKdqvAYpGxcaM/n38uGg5EMntKia99Dgd8/nkQS5aE0KRJHvPnx1WZNP1jx9xZvTqAP//0QZKgWzcD/fvrrzj8dDjg6FF3VyJ8bKz60u9ItG2bw7hxydxxx4356O12OHtWw8GDHhw+LLzsOp1TFm/nrrvyyM+Xc/y4O35+NsaNS+HJJ2tyFaoyjEY5sbFi414glxde98LnVq3WfpnPXfjea9Wy4OZ2+/KHGoJ+CyIxUUWfPg1wd3ewbt35CvOc5eXJ2L1bkPXoaC25uaL6qmNHQdbbtcu5oZT56oiCg1AQ3t4OJk5M4pFHrl3fZbXK+PVXH1asCOT8eQ2hoRYGDEjnuecyr+pPu1LA3ZXk9dnZxde2Hh72y8h78do5f3/bTRG8rCyFy9e2Z48XZrMY4HTqJJLXH3jg6q8Jux0GD67HwYOeyOUORo1KYcCA9GsS6N27vfjoo1DOn9fQunUOb7+tcxF7hwOSklSubbuzCi4+3g1JEk+Mp6edO+7ILyKTv+MOM56eN0+ov//elylTwomIsLJoUSz16998IJAkQXS0IOYnT7pTu7aZ119P47HHssp8U+88nEVHi01KTIxIAG7USPjWO3c23HCI5Pff+/L++5H07atnwgTddf+8ySTniy+CWLUqALVa4vXXU+nbN6NShoEnTojN/qFDojZt4sRkWra8PTbKeXky1q0LYNmyIEwmOc8+m8nQoamV0ud+u+FqkvaS4PhxDe+9F8m5cxqefz6DsWN1ZXKNu9XgzPBYsCCUxEQ32rTJYcwYHU2alFxmbTTKeeedSKKjvXn66UwmTUqq9HOQ3S6UVmvWBHDokCdeXnZ69sykT5/0Eg0OLBZRn7Z6dQC+vnYCAmyuRPh69fJdIXNNm95cTpFOp+LQIQ8XaT9zRnMpQFYCZAQFWenXT8/jjxsIDa0aA48aXB/OrfvlkvmLF9WkphZs3eVysXW/PF2+bl0zAQG3/ta9hqDfojh61J3Bg+tx5535fPXVjdWv3QwsFhl793qyebMPUVFaDAYl7u52OnTIoXv3bB56KKfSQ1HKC6dOaZg0KYJTp9x57LEsJkxILlVFkcMBf/2lZcWKQP75xxNvbxsvvZRBnz7ppeq6L4z8fFkxEl+0ek6JXq9yVaU4oVBIBAbaCpH2KyfWF3596XRKoqJEMuw//4hwwdBQC127Guja1UjLliW3QFgsMl5/vQ7793sCMu6/P4fp0xOL3YwvXBB95jt2eFOrlpkxY0rujzWZ5Jw7py4ikz97VoPRWDCZiIy0FAmka9Qon8hIS6kPH4cOeTByZG2sVhlz5sTTvv2Nba8kCf76y4slS4I5ftyDyEgLr72WypNPlj0xvxpiY92IjhYVbocPe+BwyAgOtro26/ffn1ui6fehQx4MHlyX++4zsXTpxVI9/thYN2bPDuOvv7TUrWtmwoTkG/6ZlhYZGQoWLQrhu+/88PMTtWlV3RtfXsjMVPDll0F8/bU/cjn065fO4MFp5WKFqEHJJO3Xg9ks49NPg1m5MpDwcCvTpiVw3323x2CpJNi/35OPPw7h+HEPGjUqSGYvDSk4d07NyJG1SUx0Y9y4ZHr3zqhUUpGTI+f77/1Yty6AxEQ3IiIs9OuXTo8emSUe0Jw5o2bixEjOnHHnpZfSGT1ah4eHhE6nYts2cT84cMATm63gftClS9nkmOTkCFn8wYOe/PmnNxcuqAHxAw0JsdKqVUFa/B135N+W1+LqjtxcuasarqDfXRD4wvlNWq29WDVc3bpmate23DKWshqCfgtj82ZvRo+uzaOPZjF7dkKlJWBareJmJ8i6NxkZStRqBw8+aKRbNwMdOxpvCT+RxSLj88+DWL48CB8fG5MmJdG1a+kPToVx5Ig7K1YEEhXljUol8eyzmbz8cjq1a5d9HYvdDhkZymIS+sIkPjVV5fKJFYaXl0h7NZvl5OSI3w8MtHLvvbl06WLggQdybzjd02SSM2RIXY4fd0ehcKBWw/vvJ/LoowaysxV89lkQX38dgEbj4LXXUunTJ+OmZVGSJCa8l3vb4+LcXBVw7u527rjDXCRN/o478q/7Wk5KUjFiRG3OntUwdqyOfv3SS/xzkSTYudOLpUuD+fdfDyIiCoh5ZeYOZGaKvvVt27Ts3i2sLp6edtq3z6FTJwMdOhivKOtPTlbRq1cDvLzsrF8fc8N1Ojt2eDF7dhhxcWo6dzYwblxyudXbWa3w9dcBLF0aTF5eQW1aDRkV6q1PPgnhl1988Pa2M2RIGr173/z7sQYCpZW0lwSHDnnw7rsRJCS40a9fOiNGpFT6hrcycfasmgULQtixw5vQUAvDh4vra2nJ3p9/evPeexF4eDj4+ON47r238oYfiYkq1q0L4Pvv/cjJUdCqVS79+6fTubOhxN+XwwFr1gSwcGEIWq2DqVMTrtrZnp0tv3Q/8GbnTnE/0GrtPPSQ2Kw/+GBOmSg20tIUTJsWTlSUD2q1A7Xa4arD9fS007x5QVp8s2Z5t+xS6HaAwyEUFU6Pe2HP++Vb9/Bwa5Ftu9PzHhhoq1Zb9xqCfotj+fJA5s8PZciQVEaMSK3sh4PdDgcPerB5sw9bt3qTmqpCpXLQtm0O3bqJSWt17Lw8dsydSZMiOHdOw9NPZ/L227oy/T4uXHBj1apAfvzRF5tNRrduBgYP1tO0acWHZOXkyElJUbF/vwc7d2o5etSdzExxgdRo7MjlkJcnd8nGnXBzcxAUZCsioXcm1IeGiv8OCrJdccqena1g4MB6rqn/uXMamjY1ERfnRk6Os888pdztHHl5Ms6fdxL2gq2781AAEB5uKZIi36hRPrVrW4ochEwmOe+8E8HWrT707JnBe+8lX3O7IEmwZ48Xn34azNGjHoSFWXjttTSefjqzygUCms0y9u0ToULbt4tQIYVC+NZFKryByEgrJpOMl1+uT0KCG+vWnb9pyb/FImP16gC++CIIu13GwIF6XnklDXf3sruP7d7txezZocTEaGjf3sjbb+vKPeejOuLUKQ0LFoSwa5eW8HBBcp54oqYm6WYQGysk7adOuTNwYBojRqSU2XvfZBJNF//9bwD16uUzY0ZipdxbKhMpKUqWLAnmhx/88PR08MorafTpk17qYYXdDosWhbB8eRDNmpmYNy+uUrIoJEkM+FevDmTrVm/kcujePZsBA9JL/dzqdKIGdd8+Lzp3NjB5cmKJVYH5+TL27RPZM9HRWjIzlahUDh54QAzvO3Uy3LAy0ImjR92ZNi2ckyfdadFC5KMkJblx8KAn586pkSQZCoVE48b5ruC5li1Nt2xGyO0G59b98m732Fg1+fkFNx0vLztjxuh4/vmKa9S5GdQQ9FsckgQffhjOpk3+TJ2awLPPZlX2Q3LB6WndvNmHLVu8SUpyc6WDdu+eTZcuhirf2Wo2y1iyRMgEAwNtfPBB4lWnymUBvV7JunUB/Pe/Imm1descBg3S8+CDpZPe3QhsNjh4UCSvR0Vp0encUCgk7rtP3Gi7dDG4vKdWK+j1xSX1Ol3R7vgrVc6JgLviknq12sG8eaEYjQoUCgmjUYmbm6gNeuaZrPL95q8BSYKUFJWLsDs/Ll5UY7eLJ0WjcdCwYVHS3rBhPuvWBfL558G0apXLvHlxxV7vkgR793qyZEkwhw97EhpqYciQNHr0yKoW4YsOhxhebdsmDmfnzgmfYsOG+djtcPGimsWLY+nYsezeMykpSubNC+XXX30JDbUwZozuuvkP10N8vBtz5oSybZuwULz9to6OHWsqxq6HvXs9mTcvlJMn3WncOI+RI1No3778r1W3Gn77zYfJk8NRKiWmT0+kU6ebU2ZdDbt3e/L++5Ho9Ur+8580Xn89rVpcZ24GRqOcFSsCWbMmELsdevfOYMiQNHx9S3/2yMpSMG5cLfbu9eLFF9MZP15X4eoRqxW2bPFhzZoA/v3XA63WzgsvZNC7d/oNZUP89psPU6eK+rTx43X07Jl5w+9fux0OH/ZwWeASE92QySRatDBdOkMYb1gdaLfDN9/4s2hRCHl5Ml5+OZ1XX03FZpNx9GiBj/3ffz1cpC0iwuIi6y1b5tKwoblmiHgLwbl1L+xzf/hh0TRVHVBD0G8DWK3wxht1OXDAgy++iK2SL05JEmFLmzf7sHmzN3FxauRyiVatTHTvnk3XroYqN+08fNidSZMiuXhRTc+eIminoqT6ubkFye8pKc7kdz2PPlq2UmezWcaePV5s2SK2oVlZwp7Qrp1IXu/Y0XhDBxkQz7nBoECnu7ovPjVV5epFv+xv4+1tJz9fjsUio0ULEw8/nE14eIEvPiDg5gLubhZms4yYGDWnTxeE0p05oyEzs+D7CQ214Otr4+xZd7y97UyenEiHDkaUSvj7b08+/TSYgwc9CQmxXiLmmdVaLhwf78a2bVrWrQsgKUkk9AYHW+nYUWzW778/t8z8Y//848HMmWGcPu1O69Y5TJiQTKNGpdt2m0xyvvxShNEplRKvvprGgAHp1fo5qGg4HPDHHz4sWhRCQoII2ho1Ssfdd9f0GV8PZrOMjz4KZeNGIWmfOzeesLDyDcMyGOTMnh3Gjz/6ceedeUyfnlDq9011gNUqY+NGPz77LJisLCWPP57Fm2+mEBl5Yz/fkyc1jBxZm7Q0JZMmJdGjR1bZPuDrwGCQs2mTP+vX+6PTuVGnjpl+/dJ5+unMG6oUNRjkzJgRzi+/+NKsmahPK0trnSQJP7uob/Pm5El3QAxvnQP/GwkdTU9XMG9eKD/+6EdoqIXx43V07VowoLVa4fRp9yJp8Xq9ODRptXaaNROEvVUrE02bmspUgVWDykN2tpxffvGlbdsc6tUre4toeaCGoN8mMBhE/VpampK1a2Oq9AvUeeHeskWQdWc6aPPmgqx37264ad/dzSAvT8bixSGsXRtAaKiVyZOTaNeucqpqrFYZv//uw/LlgZw7J5Lf+/cXye836vEyGoV/bOtWb3bu9CIvT6Txd+ggktfbtzdWSIe4E6mpShYuDOaXX/xQKiWaNjXx778eKBQSdepYiI11Iy+vOBNXKCQCAq4mqS/4vCJvwJIkVBCFfe2nT2u4cKFg2y589hImkwIvLztPP53J4MH6KjegulEUzsZ48MEctm/Xul5nHh7Ct965s+hbv9HhjxN2O2za5MeiRSHk5Ch46aUM3ngj5bo1d5IEP//sw4IFos7tqadEnVtw8K3xHFQGnITo88+DycxU8uijWYwYkVqizuTbEbGxbowZU4vTp90ZNCiNN98sO0l7SbB1q5YpUyIwGuUMG5bKwIH6WyJ0S5Lgjz+8WbgwtMwGRj/95MuHH4bj62tnwYK4CrUHxMW5sXZtAD/84EtenoL778+hf/90OnQw3vA2eP9+T955J4K0NBWvvZbKkCFp5R4+mpioYts2oc775x9PHA4RLutMhG/VKrdUr/+DBz2YPj2MM2fcad/eyMSJydSpU/xaI0mQkKDi8GFPF2l3Kr2USok778yjRQtB2Fu2NBWrya1B1YUkwYEDnmza5Mfmzd5YLHJGjdIxeLC+sh9aiVBD0G8jJCSo6Nu3AR4eon6tNMnilYmYGDWbN3uzebM3p0+LKevdd5vo1s3Aww8byiUw7Wo4cMCDDz6IIC5OzUsvpTNqVEqVqKdxpnqvWBHEgQOeaLV2evVKL3Hyu16vYNs2ITvbt88Tm01OYKCVzp1FkF9ZJLCWFlarkKwtWRKM0ajguecyGTZM+MyPHHFnyJB61K5tZvnyC+za5cWUKeFYrXJ69MikQQOzawNfOL3eGWBXGFqt/YokPiSkoDv+RgPuSgqLRcaGDX4sXhyK2SxHLpdQqx1FBg/BwdYine2NGuVTt665ynnQr4VTpzQMGFCfO+7IZ/nyC65tudks4++/PV1S+LQ04Vtv2dJE584GOnc23hSRy8pS8MknwXzzjT8+PiJxvUePKyeuHz+uYebMcI4c8eDuu01MmJB8xU7gGtwYcnLkrFwZyOrVgVitMl54IYPXXkut8namisSvv/rw4YfhqFRC0t6xY/lI2q+HjAwRwrV5sw/Nm5uYPj3hiiSnumD/fg/mzQvl2DEP7rgjn9GjdTdlubBaYe7cMNavD6B16xzmzImvkNexIB4erFkTSHS0FoVC4vHHs+nfP91VK3ojsFhkfPKJsOzVqmVh5swEmjWr+GufM3R061Zvdu8W9aze3jY6dhRLgrZtc0q0JLDZYMOGAD79NBiLRcbgwSKX5Hq5AtnZco4c8eDQIU8OHfLg2DF3lx0vMtJCy5YFafH169fI4qsa9Hol//ufL99950dcnBqt1s7jj2fRs2cmd91VfZRbNQT9NsORI+785z/1aNIkj6++uljt6gji493YvNmbLVu8+fdfDwAaN86jWzcD3bsbaNCgfKR4JpOcBQtC2LAhgMhICx9+mMj991c9qwAIX//KlYFs2SKS359+OouXX9ZTt27Rg1V8vMrlBTt82ANJklGrlvlSHZqBZs1ursP0ZrBzpxdz5ogwrjZtchg3LpnGjYs+t7t3ezFsWG3uuSePzz+/SHa2whVk06WLCLLx8yt6WDKZ5MU64p2fO0m8Xq8sFnCnUjmK1Mtd/rnz1xsZYhw65MGnnwazb58XAQHia5444cFjj2Xx1ls6YmPVLnn86dMazp9XY7PJXY+rQQNzoc52Qd6rItlJT1fQu3cD7HYZX399nqCgK28iHA44ccKdqCgt0dHenD1b4Ft3VrjdaL/uqVMaZs4M4+BBT+66K4+JE5Nc5FuvV7BoUSg//OCLn5+dkSN1PPNMTbBZeSEtTclnnwWxaZM/arWDgQP1vPxy+m2dtJyfL2P27DC+/dafFi1ymTMnodL7nSVJDAymTw/HapUxapSOXr0yqtX74tw5kcy+fbs3ISFWhg9P4amnSp/MXhh6vZIxY2px8KAn/fvrGT1aV+5bZqGY82bNmkBOnnTH19fGiy9m0KtXxlWvpyXFuXNqJkyI5PRpd55/PoNx43RV4r1oMgmbXVSUGN4aDMJm17ZtzqWQOWOx+/zlSEtTMneuyCWJiLAwYUJyqXIcrFYZJ05oXJL4Q4c8ycgQT7a3t43mzfNo1UqEzzVtmndbtyBUFmw2cSbctMmf7du12O0y7r03l+eey6Rbt+xqaVWoIei3If74w5uxY2vz2GOifq26BvYkJ6vYskVs1p0Es379fNdmvVGj0vuXroS9ez2ZPDmCpCQVffum8+abKRUq8b5RxMa6sXKlSH63WmV06WKgWzcD8fFubN1aoEZo3DiPrl2F56tRI3Olvh5iYtTMmRPKzp1aatc2M3asjk6drh7G9eef3owbV4t27XJYtCgOhUJyVcH4+NiZNi2x1L3YNps4fAnSrrpi7VxqqqpIOqgT/v5FN/DFSbwVrdaBTCaGZUuWBLN7txZ/fxv/+U8aL7yQgUYjsWxZIIsWhXD33XksXBhXRFpttYpwtct72wtXjQQEWGnUyEzjxnk0aiQIfP365koLfLJaZfznP3U5edKdlStjSiUnjY9XER0tDmf//OOJ3S4jMFD41rt0MdCmTel865Ikgo8+/ljI1594IpPatS2sWRNIfr6cvn3Tee211Fui+rE64MIFNxYtCmHLFh8CAqwMHZpGz54Z1UoZUha4cEGktJ85UzmS9ushJUXJBx9EsGuXljZtcpg6NbHc/fA3i8LJ7B4eDv7znzT69St9MvvlOHLEndGja2MwKPjww0Qefzy7jB7xlZGVpeDbb/3YsCGA1FQV9evn069fOk89lXXT34vDAevWBbBgQQheXg4+/LD8QghvFlarCKqNiioIqnVmFTl96xERV39N/v23J9OnhxETo6FTJwPjxyffUOaAJIllUWEfe0yMUxbv4K678l3Bcy1amKrkwPxWQWKiiu+/9+P77/1ITVXh72/jmWcy6dEjs0pbeUuCGoJ+m+KrrwJZuDCU115LZfjwyq9fu1mkpirZulVs1g8cEP6lWrXMLrJ+9915pSaeOTlyPv44lG+/9adOHTNTpiTSqlXldZneCBwO2L5dy5dfBnHsmPulzbBEgwZmevTIpEsXQ7n1RZcG2dkKliwJ5r//9cfd3cHrr6eWuD950yY/Jk+O4NFHs5g1KwGFAk6f1jB+fCTnz2vo21fPyJFl2+0rAu7khST0hRPrC0h84UA4J9Rqh6uKzs3NQYsWJjp0MBIZaXER+YAAG9u3a5kwIRKt1sHChdf3NWZmKlxhdE7ifv68GotFDBKUSol69cwuebzzo7y7QSUJJk8O57vv/JkzJ45HHzXc8NfKzlawY4cX0dEiH8FkUuDubqddO+Fb79Dh+tsUJ0wmOe+/H84ff/gAMurWNTNvXhx33HHrBWJVBxw54s78+aH8848ndeqYGTEihe7dby59v7rgl198mDJFSNpnzLh6v3RlQ5LE9XbOnFDkcnj77WSefTaryj1HOTlyli8Xyew2G/TqlcGrr6aV+NpwLXzzjR8zZoQREmJj4cI4GjcuP8nshQvCX/7jj37k58tp2zaHAQP0tGuXUyYKhpQUUZ+2d68XHTsK1dnNVp5VFJzBwlu3ipA5p2/8zjvzXInwV1rSWK0y1q4NYOnSIBwOGa+8ksagQfqbVpNmZSk4cqQgLf7YMXfXvbdOHbPLx96iRS716lmq3HumOsFikREVpeW77/zZu9cTgPbtc+jZM5NOnYy3TPNEDUG/TSFJ8MEHEXz/vR/Tpyfw9NNZlf2Qygzp6cJPvWWLN/v2eWGzyQgLs9C1qyDrzZubrntz27XLi8mTw0lNVTFggJ5hw1KrjWzJahV+XnHjEj3USqWD++4z4e1t4+BBT/R6FQ0biuT3xx7LrsTNKmzcKHzmOTkKnn8+g2HDUkudj7B8eSDz54fy4ovpvPdeMjKZkIvOnx/K+vUBNGyYz6xZCeV6mLoSLBaZi7D/848HP//sy4ULGlQq0QnvcIhtvVOy7oQz4M7Hx0Z8vBqrVcbDD2fz0ENG12Y+ONh6XSWHzQaxseoigXSnTxfdtvv724p52+vXN5eZ/WXt2gBmzw5jyJBURowou2GgxSJj/35Ptm3Tsm2bN6mpKuTyor71q+VTxMaK2rTt270JD7fg72/j2DEP6tY1M358Mg8+WDUJ0q0OSYIdO7QsWBDCuXMa7rnHxKhROlq3rl6D0ZIiP1/GrFlhbNpUdSTtJUFCgopJkyI5cMCTTp0MfPBBUpUIz7JaZXzzjUhmz8xU8thjIpm9LIbQZrOMmTPFc9W+vZHZsxPw8Sl7Muus1lyzJpC//tLi5ubgySez6NcvvUyHh7//7s3UqSK3Zdy4ZJ5//sbr06oC4uLciIrSEhVVoKiMiLC4NustW5qKWBp0OiVz5oTx558+1K5tZuLEsr3uWyxCFn/oUEH4nLORxtfXVqjezcTdd+fVNIOUAOfPq9m0yY+ffvIlK0tJWJiFHj0yefbZrCqv5rkR1BD02xhWq4zXX6/DwYMefPHFxVvyEJSdrSA6WsuWLd7s2uWF1SonKMhKly6CrLdqlVvEN5adLWfOnDD+9z8/GjTIZ8qUxEoJSSktTCY5O3d6sXWrN3/9pcVoFJvFBx/MoVs3Aw89ZHRJdq1W+P13X1fye0iIlf799Tz//I0nv98I/vpL+MwvXBA+87ffLn0NVmHMnx/C8uVBxYjgzp1eTJoUQXa2grfeSqF///QK9U+eOKFh6dJgoqO98fGxMXCgnj59Mlz+PodDbL8LB9oVltQnJamIjy9IeS8MZ8Cdsy/e+Xlhef2VAu6yshSXfO0FUvlz5zSuIByFQqJuXXORTXujRvmEhJRu2757txdDh9ahUycj8+fHldvP3blN2bZNDKXOnBH2jQYN8unc2UinTgbuuSePvDw5n38exJo1Abi5Sbz+upC8qlQSO3Z48dFHYcTGqunUycDbb+tqEsYrCXY7/PijL59+GkJKiooOHQy89VbKLVX3VVjSPnhwGsOHVy1J+/XgcIjh28KFIXh4OHjvvSQeeeTG1TE3A0kSdqdFi0KIi1PTunUOY8aUXZWfTqdi9Oha/PuvB0OGpDJsWGqZJ9qbzTJ+/dWHNWsCOXtWg7+/jV690nnxxYwylUgbjaI+7eeffbnnHhMzZiQUy6ep7tDrFURHexMV5c3evZ5YrXL8/Gx06iRsUQ88kONauOze7cnMmeFcvKimW7ds3n5bVy5kT5LEe/7wYRE8d/iwBxcvqgGRJXP33Xkuwt6ihalM1B63AkwmGX/84cN33/lx+LAnSqWDzp2NPP98Jm3a5NwSzRJXQw1Bv82RnS2nf//6pKcrWbcu5pa7UBdGTo6oD9u82ZudO7Xk54uLdpcuImAuL0/GjBnhZGQoGTw4jddeS6vSIXpZWWL4sHWrN3v2iKRTHx8bnTuLpNPCN6ErQZIEeV2xIpD9+73Qau289FIGffuml+s2JCZGzUcfhbJrl5Y6dYTPvGPHq/vMSwpJgg8/DGfTJn/Gjk3m5ZfTXb+XkaFg8uQItm3zpk2bHKZNSyA0tHw3PqdOaViyJJht27zx9rbx8ssiVd/Lq/RDEKtVxocfhvO///nRqlUuTz2VSVZWgaTeKbPX65U4HFcPuCtK4q1F/r9CIREX5+Yi7M5gOmdfOYCPj60QYRce9wYNzFd8nV286EafPg0IDbWydm1MhQYOJSQU+NYPHBC+dS8vO1arDLNZzpNPZjJmTEqx17nFImPNmgA+/zwIu13Gyy+L1N/qkDlxKyI/X8b69QF89VUQOTlynnoqi+HDU6v9tuTnn4WkXa2WmD696kraS4KYGDXvvhvBsWMi2PKdd5Jvuh6xNPjnH5HMfvSoBw0b5jNqlI6HHrrxZPbLsX+/B2PH1sZsljF9egJdu5atPzs9XcHGjf58/XUAGRlK7rgjn/799Tz+eHaZnz8OHPDgnXciSU1V8eqraQwZklqthkI3gtxcsbyIivJmxw4tOTkFy4vOnQ106GDE3V1i1apAvvgiCJkMXn01lZdfTi93ZWF6uoLDh50+dk+OH9e41HR165pdwXMtW5qoU+f2kcVLEhw/7s6mTX789psPubkK6tXL57nnMnnyyazbxtNfQ9BrQHy8qF/Tau2sXRtzW0zuTCYZu3YJsh4drXXVWWm1Nl5/PY2XXsqokuRcp1NeCkjxdhGPkBCrK3n9ckVASfHvv+6sWHH95PebQVaW8Jlv3OiPh0eBz7wsb4J2O7z9di3+/NOHKVMS6NEjy/V7Tv/kRx+FoVI5+OCDJB5+uOw3PqdPq1m6NJitW33Qau0MGKCnb9/0mw4dkyRYv96fjz4Ko2HDfBYvjiM8vChRsdkgPV1ZzBfvDLtzfn69gDsnkQ8JseLlZcdkkpOeriQuTiTKnz2rdr1n5HKJ2rUtLnl848b5hIWZGT26DgaDgvXrz99QEE9ZYc8eT6ZODSc+Xo1cLuFwyHB3d9CunZFOnYx07Fjct56aqmT+/FB+/tmXkBArY8cm88gjt4cfuioiO1vBl18GsWGDPwB9+qTzyiv6cpEYlycKS9pbtszlo4/iy31QWBGw2WD58iCWLg3G19fGhx8mlvvQISZGzfz5IURHexMcLJLZn3765pLZC0OSRHja3Lmh1KplYeHCWOrXL7v74dmzatauDeDnn32xWOQ89JCRAQP0tGmTW+bXGatV1KetWBFIZKSoT2vevOorA8saVquwRTml8GlpKpRKifvuy6VLFwN33ZXH8uVBREV5U7eumXffTeKBByqurcdslnHsmLtrw374sAfZ2eJA5+9vo3lzk4u033VX/i0ni8/OlvPLL6Ie7fRpdzQaB488ks1zz2XSooXptrv/1hD0GgBw+LCoX2vaNI8vv7x4y73xr4bNm72ZNi2crCwFd9yRT2KiGzk5Cjw97XToYKR7dwMPPmis1IqGCxdE6npUVEG1XL16+XTtKjblNxKAdzXExbmxalUAP/zg50p+HzxYf1My/8t95i+8kMEbb5TeZ17yf0/G8OG12bvXi48/jqdbt6IkPDbWjQkTIjl2zINnnslkwoTkG9pqX44zZ9R89lkwmzf74OVlp3//dPr10+PtXbab4927vRg7thYqlcT8+XGlDi68POAuNVWJTqcqto2/UsCdu7uD4GArQUFWvLxE2J3ZLCM7W0FKioq0tMLrGIlGjfK5916Ti7g3aJBfYdtovV7JggUh/O9/fgQGWhk5MoVHHsnmn3+Ebz062puUFOFbb9GiwLdeuOf50CEPZswI49Qpd+67L5cJE5KK1f3VoOKQlKTi00+D+eknX7y8HLzyShp9+tx8KndFICbGjbFja3P2rIZXXklj2LCUcq/lqmicOqXhnXciOXtWw3PPZTB2rK5Mrq2FkZYmktm/+64gmb1v3/QyvUfn5cmYPDmCX3/1pUsXA9OnJ5TJ9yFJIt9mzZoAdu/WotE4ePrpTPr2TS9T8l8Y586pmTgxklOn3HnuuQzefrtq1KdVNhwOOHbM3VU165SbN21qol49M/v3e6LTufHoo1mMHasjJKTiB2kOB1y4oL5U7SYIe1yceJxubg6aNi0qi69uA0sQ74kDBzzZtMmPzZu9sVjk3HVXHs89l8Fjj2Xf1m0qNQS9Bi789psPb79diyefzGLGjOpbv1YSpKcrmDEjnD//9KFJkzymTk2gcWMzVquMffs82bJFXLSzspRoNA4eeshIt25CDlXWB47LUTiddOtWb1d9R9OmJlcdWnndzJ3Q6xVs2BDA11/7YzAouffeXAYPTuPBB0ueHitJTp95GBcvqmnbVvSZV0RKtskk49VX63HihIZPP42lbduiU3CrFT77LJivvgoiLMzKrFnxrj7s0uLcObEx//NPHzw97fTtm86AAXp8fMrvdXLhghtvvlmHxEQV77+fVEQpUFZwBtwVTqYvXjdXPOAOJECGh4cdlUoiN1de6M9IhIdbadw4j7vuKvC2R0RYy+x6Y7XKWLfOn88+C8ZsltG/fzqvvZZWLF/B+T6Ljha+dWftYP36+XTqZKRzZwPNmuW5lBeLF4dgMCh46SURZFgdD0O3Ck6fVrNggahjDAmxMmxY2W5PyxqFJe0zZybc0iGEFouMpUuDWb48kNBQK1OnJnL//Te/hczNlbNiRSCrVwditcJLL2Xw2mtlk8xeGPHxKkaNqs2ZMxqGD0/llVfSbjo7Iz9fxs8/+7JmTQAxMRqCgqz07p3BCy9klJsdwOGADRv8mTcvFE9PB5MnJ9KlS9WsT6sKiIlxIypKJMIfPSoWIT4+NoxGBSqVg+HDU+nbN73SLQF6vaKIj/3ECXdsNnHzrF8/30XYW7Y0UatW1ZXFp6Up+d//fPn+ez/i4tRotXaeeCKLnj0zadKkYsN8qypqCHoNiuDzz4P45JMQ3ngjhaFD0yr74ZQ5JAl+/92HmTPDyMmRM3RoGgMHpl3xomuzwT//eLJ5syDKer0KNzcH7drl0L27gY4dDWVGwmw2OHTIk61bhfQqOdkNhULi3nuF9KprV2OlpPuaTHK++86PVasC0OncaNgwn4EDhT/uWtL08+dFn/muXVrq1hU+8w4dbt5nXhpkZ8sZNKg+CQkqvvrq4hVVAAcPCk9ecrLw5L36ask9eTExaj77LIjff/fB3d1B377pvPxyeoURt+xsOePG1WbPHi8GDNAzerSuwgnK5QF3f/7pzY8/+lGvXj5hYVbXNt5ovNIDE0QeRHdsQICNyEgLDRuaadpUVNJERlpLdTjesaNgINSxo4Fx43RFNuLXQlKSypUI/88/nthsMvz9bXTqJDbrd92Vx5dfBrFxoz/e3nZGjEihZ8/MKksKbwf8/bcn8+eHcOxY+fiPbxaFJe2tWuUye/atIWkvCQ4fdue99yKJjVXTr5+eESNSbmjLbbXCt9+KgVtGhpJHH81ixIjUcglw3LXLi7ffjkSSZMyeHc9DD93cIEWvV7Jhgz/ffONPZqaSJk3y6N9fz6OPGsrV35yaKurT9uzx4qGHjEyZklglUvarC1JTlURHi7OYswkIwNvbxn/+k0a/fiWrgK0I5OUJWfzhwyIt/sgRD9f9NiDA6tqut2pl4s478yp1wGCzwa5dWjZt8mPHDi12u4z77sulZ89MunfPrhZKqIpEDUGvQRFIErz3XgQ//ujHrFnxPPFEdmU/pDKDXq9k6tRwoqK8ueceE1OmJNKwYcm2uXY7HDniwebNor5Np3NDqZRo00aQ9c6dDaWWbJvNMvbu9XLVoWVlKVGrHbRtm0PXrgY6dTJWaNjOtSCS331YsSKIs2c1BAcXJL8XVhRkZSn49NNgvvlG+MyHDk2lV6+y9ZmXBmlpSgYMqI/BIGfVqgtXfL6NRjmzZoXx449+NGtmYubMhKvWc4HYXn/2WTC//eaDRuOgT58MXn5ZXynZDTYbzJ0byrp1gbRvb2TOnPhKk4QdPuzO4MH1aNXKxNKlF4scBEwmWbGU+qQkNy5ccCMpyY3MTAV5eXKchL0AEhqNhK+v8MTXrWuhQYN8QkOL+uWTk1V89FEYf/2lLZOqNINBzs6dWrZt07JzpwgW0mjEe/POO/PYtcuLo0c9adIkj3feSbph9UUNbh6XJ3jfe28uo0frKr1943aQtF8PeXkyFiwQVZd165qZNq3k3mdJgi1bvFm4MITYWDX33ZfLmDE6mjYt++dVkmDZskAWLQqhYUMzCxfG3dQA4NQpDWvWBPDrrz7Y7TI6dhT+8vvuK38f7Z9/ejNlSjhms6hPe+GF6l2fVtlw3gs2bPDnyBFR36ZUSjz0kJHHHsvmwQeNVUqG7XAIVZ8zeO7QIQ8SE0XQq0bjlMXn0rKliebNTWVuwbsSEhJUfP+9Hz/84EdqqoqAACvPPJNFjx6Zt3Qw9c2ihqDXoBisVhmvvlqXI0fc+eqri6X2uFY1SBL89JMvs2eHYjbLGT48hX790m/4sCRJwru0ebM3mzf7kJDghlwu0bp1Lt26ibC2oKArT6uNRjl//SWS13fu9MJkUuDlJfzuXbsaePDBnCrtD3N66FasCOTvv0Xy+4svZvDii+lERfmwZEkwJpPc5TOvCoGD8fEqXn65PjIZrFoVc9XAst9/92bKlAhsNpgwQUePHkUPNrGxgpj/+qsParVEr17pDByoLzcvfWnw7bd+TJ8eTq1aZhYvjivx1risoNOp6NWrPh4eDtavj7mhwZLNJoZoJ0648++/7pw5oyEuzo20NBW5uVci74UhIZdDnTpmWrQwERZmLdIXHxJiw9u7eN1cSSCChTzYtk0ESup0bshkEnXqWEhLU5Kbq+DJJ7MYPVp31fd9Dcofl29au3fPZsSIlEo5AP70kw9Tp4aj0UjMmHFrS9pLgn37PJk0KYKUFBX/+U8ar7+eds0N5MGDHnz8cfklsxdGbq6cd9+NYOtWHx57LIvJkxNvKCfD4YAdO7SsWRPA33974e5u59lns+jbN71Crsc5OXJmzhSD5rvvFoPmevVqyE9ZIitLzvTp4fzxhw/AJbLuoE0boXTs3NlYJe8BqalKlyT+0CEPTp1yx26XIZNJNGhQNC2+rOxmFouMqCgtmzb5s3evF3K5xIMPGunZM5MOHYyVbhWoDqgh6DW4IrKzFfTrV5+sLAXr1sVcc6NYlaHTKZkyJYK//tLSsmUuU6YklumBTZLEtNxJ1i9eVCOTSbRsaaJ7dwPduhlQKh1ER4vN+759nthscgICrHTpIkj5/ffnVtqG+WZw7JhIft+82RtxqZDRokUuH3yQVGJlQkXh7Fk1AwfWw8fHzurVF64q99PpVLzzTgT793vRtWs2kycnYTQq+OyzIH7+2Rc3twJiXtWqPvbv92D06No4HDB3bnwx3315IS9Pxssv1ycuzo1162Jo0KDsn/u8PBnnz4v6t2PH3Dl5UlTAWa0F+ne12oFKJWG3yy5t44tCo3G4Nu6Fa+YKd8cHBlqvObhzvt+jo4UU/uRJd+fvoFRKPPdcJmPH6mqkepUIk0nOqlUBrFgRiMUi57nnMhg6NK1CJL55eULS/t13QtL+0UfxlRIuVRVhNMqZMyeM77/3o1GjPGbMSKRx46Je05gYNxYsCGXbtvJJZr8cFy648dZbtYmLUzN6tI7+/dNLTU5MJhn/+58f69YFEBurJiTESp8+6Tz3XEa55pAUxj//ePDuu8Kq9corabz++q1fn1aZuHjRjRkzwtizR4u/v7hnpKaKH3izZgVZQVV1O2wyyfj334LguSNHPMjJEW+yoCBrIR97Lo0b55dqmXXunJpNm/z4+WdfsrKUhIdbePbZTHr0yKoUm2Z1Rg1Br8FVERfnRt++9fH1FfVr1SkUSZLg++/9mDMnFJtNxltvpdC7d3q5+kUlSXivN2/25tdffV2poE6vbWiohUceERv2Zs1M1d67eu6c8Jnv3q1Fq7WTny/DZpPRubORQYPSqpzs98gRd4YMqUutWhaWL79w1cOTwwGrVgWycGEwKpWYBKtUEi++mMHgwWkEBlbd90FCgoo336zDhQtqxo9PplevjHKVN0oSjBtXiz//9OaTT2IrpM/56FF3Zs0K499/PWjSJI8nn8zEYpFz+rQg7Rcvql1d8G5uDkJCrPj62tFoHMhkkJ8vv1RFpyxC8AFkMomAAFuRjnjnJr4wkXcGziUnq4iO1vLbbz4cPizkj3K5sL706pVB27Y5ldoAcTtDr1fw+efBfPutPyqVxIABegYN0hcLCywrxMS4MWZMbc6fV/PKK2m88UbqbSdpLwm2b9cyebJoTnnjjTQGDUojM1PJ0qUimV2jcTB4sJ7+/fXl+t6JitLyzjuRqNUSc+bElzrITqdTsmFDAN9+64fBoOSee0z0759Ot27ZFUaOrVYZS5YEs2xZIBERVmbOvPGw0xqUDk4LxuzZYaSkqOjSJZt69czs3q11DW7r18+/RNZFhsnNhg2WF+x2OHdOUyQtPilJyOLd3R00a2ZybdibNTMVk/SbTHL++MObb7/15+hRD5RKB127GunZM4MHHsitst93VUcNQa/BNXHwoAevvFKXFi1MfP55bLXY9CYlqfjww3B279Zy331ia14egTKFIUliS+tMXncmQgcGCrmQs36qSZM8unUz0L17drWVn2VmCp/5t98Kn/kbb6Ty0kvpGAwi+X3DBpH83qpVLoMG6enQwVhlLtB79ngybFgd7r47j88/v3hFKWNiooovvgjif//zw+EQMraePdN55x0danXVf/3n5sqZMCGS6GhvXnghg4kTk8rtwPjZZ0F8+mkIo0bpGDxYXz7/yCWkpYnatB9/9CMoyMqoUSk88URWsddWfr6MmBi1i7CfPSs271lZBWwpNNTCHXfkU7u2haAgK1qtA0kCvb6gM975q8FQnGV5etovI/FWvL3tHD7swa5dXuTni+mbM1Syc2cjHToYqvRw51ZFXJwbixaF8McfPvj723j11VRefDGzTO9lP/3ky9SpYWg0IqW9ffvbW9J+PWRlKZg2TUiFg4OtZGcrsNtlvPhiBq+9Vn4VnCDIyJIlwXzxRTB3321iwYL4Um32jh/XsGpVIJs3++BwQNeuBgYM0NO8ednVnZYEMTFqJkyI5ORJd3r0yGT8+ORyGz7V4OowmeR8/nkQq1cH4uFh5623UmjXLoft24XK6sABT+x2GcHBVjp3Fpv11q1zq7zCQadTFvGxnz6tweEQsvg77hBp8YGBNs6fV7N9u5a8PAX16+fTs2cmTz2VVSWsf9UdNQS9BtfFzz/7MHFiLZ5+OpNp0xKrbOCIwwHffOPPvHkhSBKMHp3Ciy9mlBs5dDjENs9JyuPjhby9RYsCiVOtWuLGn5CgYutWIYM/ckRUeDRsmH9JBp/NHXeYq+zP1QmrVcaGDcLjaTLJefFF4TO/3G9sMsn5/ntfVq0KJDnZjfr1RfL7E09kV4nk082bvRk7thZt2+aweHGc66CelFRAzOVyieefz6RfPz1r1gSyYUMADRvmM3t2PI0aVS35/pVgt8PixSEsWxbEffflMm9eXJnnAWzdqmXkyDrlXstoschYuzaAzz8PwmqVMWBAOkOGFK9NuxYkSRD8M2cEaS+8bXcm9Lq5OWjQwEzjxvmu3vZGjfJRqx1FAu6K1swJQq/XK7HbiwfcAcjlXNroS4SFWWne3ESHDkaaN88jJMRaLYY+twKOHXNn/vwQ/v7bi1q1zIwYkcLDDxtu6v6Qlydj5sxwvv/ej3vvFSntNZL268Nqhe++82f+/BBycxXI5dKlIL3Uch3mZmfLmTChFjt3aunRI5N3300q0fvPbodt27xZsyaAgwc98fS007NnJn36pF8106S8IEnw9df+fPxxKO7uoj6ta9ea+rTKRkyMmunTw/j7by/uvtvEe+8l07RpHllZCnbs0BIVpWXXLi35+XK02oLcofbtq3bukBO5uXKOHnVn714voqK0xMaqkSRxz9NoHDRvnkvnzkZatTJxxx2lk8XX4MqoIeg1KBGWLg1iyZIQ3nwzhVdfrXr1a/HxKj74QHiHH3ggh8mTE4mIKPsbpwiMKqhD0+tVrpCQrl1FSMj1vI46ndJF1g8eFLLYOnXMLrJ+1135VYqsS5IIv5k7N5SLF9W0b29k3Djddb3GViv8+acPK1YEcvq0O8HBVvr1S+f55zMqPfX0u+/8+OCDCB55JJtRo3QsXx7Id9/5IZPBc89l8soraUUO2n/95cWkSREYDApGjhQhg1VFFXAt/PSTD5MnRxAUZOOTT2LLLBvg9Gk1/fvXp2FDMytWXCgXkul83X30UShxcWo6dRK1aWWZh2GxyLhwQWzbT58u2LZnZBScLoKDra6+didxr1PHXGQDYrdzSTZfQOIvXHBjxw5vEhNFiKRMxhVIvNjGh4eLLfzlW3mnpN7H58YC7mpQFM6Qy/nzQzhzxp277spj1CgdDzxQ+ryGmBg1Y8bU4vx5NUOGpDF0aI2k/XqQJCEtX7BA3EvuvTeXQYPS2LjRnx07vGndOoepU8vn3n3mjJqRI2uTnKxi4sSSpZvn5sr5/ns/1q4NIDHRjYgIC337ptOjR9H2kopCWpqSSZMi2LVLS/v2RqZOTaySoWS3KyQJfvvNh7lzQ9HrlTz/fCZvvZXisofm5cnYs8eLqChvtm8XzT1OlVWXLgY6djRWyc2zwwH793uyaZMfW7d6Y7HIuesuE+3a5eDtbefkSXcOHvQkJUXcFD087DRrlucKn2vePK9aDCGqGmoIeg1KBEmCd96J5OeffZkzJ45HHzVU9kMCxIVjwwZ/Fi4MRaGQGDtWR8+eZVsrYjLJ2LVLJK/v2KHFaFTg7m7nwQdFHVqHDjdes6HXK4iKEmR9/34hhYqIsNCtmyDrzZpVrm/p7Fk1c+aEsWePF3Xrmhk3LrnUabqSBLt3i+T3ffu88PKy88ILGfTrl05wcOUdLhYvDuKLL0KQyyXkcukSMddfVe6Ynq5g8uQIoqO9eeCBHKZPT6jUx19SHD3qzltv1SYvT87s2Ql07Hhz25b0dAV9+jTAZpOxYcP5cvkZxMS48dFHYezaJWrTJkxIrlDZsF6vcG3bnRv3mBg1Npt4M6pUYtt+OXG/0uHq0CEPZs4M4+RJd1q0yOWZZzI5c8ad/fs9iIlR43DIUakceHg4cDhk5OTIXZsJJ9RqB0FBhQPtrhxwV9Vlk1UFdjv8+qsvixcHk5zsRvv2RkaOTOHOO/Ov/5dxStrDcXd3MHNmAu3a1Ujar4fDh935+ONQDh/2pH79fEaNSqFjRyMymbhH/PCDL7NnhyFJ8PbbZXsf/+03Hz74IAIvLzvz5sVd16edlKRi3boAvvvOj5wcBS1b5tK/fzqdOxsqbQizdauWyZMjyM+XM2aMjpdeKt98kRrcOHJy5CxZEsz69QFotXZGjUrh2Wczi5zlbDY4dMiTqCix7ElKEoPcli1NdOkiFJgVrc64HKmpSn780ZfvvvMjPl6NVmvnySez6Nkz84rXyuRkFQcPFvjYz5zRuHJZGjfOdwXPtWhhIjS06p+dKhs1BL0GJYbFImPIkLocO+bOsmUXKj2M5OJFN95/P4JDhzx58EEjH3yQVGYpkdnZCqKjtWzZ4s2ePV6YzXJ8fW106iRkSQ88kFPmSc1ZWQq2bdOyebMPe/aItPfgYKuLrLdqVXHBchkZCpYsEX3mXl523ngjlRdfzLhpAnD8uIaVKwP5808f5HKJp57KZuBAPfXrV5xsPDVVyVdfBfHtt37YbDIkScZLL6Xz3nvJ1/27kgTffOPHnDlhqNUOPvggie7dq8aw6lrQ6ZSMGFGHU6c0jByZwqBB+huuHHvllbocP+7OqlUx3H13yQhNSWE0yvnsM3Gw0WgcDB2aSu/e6VWCeFqtMmJi3Dh7VlOEvDvzJUBkThQm7Y0a5VO/vgW5XOK77/xYtCgEg0HBiy9mMHx4KgqFxM6dXkRHFwz/VCoHLVvm0rRpPrVqWcjLk7sk9U5ZfWqqEouleMCdv7/tslC7gs+d/78yNn9VFWazjK+/9ueLL4IwGhU88UQ2w4enXHWDm5cnY8aMcH74wY/77hOS9uowpKtMXLjgxsKFIWzd6kNQkJU33kjl2Wczr0h0ExNVvP9+BH//7cVDDxmZPDnxpn6+NhssWBDKqlWBtGyZy8cfx19z43z4sDtr1gSyZYs3Mhk8/HA2/fql06xZ5Z11cnPlzJ4t0u/vuiuPmTPjqV+/eubX3G44c0bN9OnhHDzoSfPmJt59N4kmTYrfMyUJTp/WEBXlzdatWs6cERlGjRrl0bWrkS5dDDRuXDHKSpsNdu7UsmmTH3/9pcVul9G6dQ49e2bSrZuhVOdeo1HO0aMFhP3oUQ9Xw0pYmKVQWryJhg3zb+h8a7HIyM2Vuz5MJgW5uXJyci7/XE5uroJHHsmmTZuKabi5WdQQ9BqUCllZCvr2rY/RqGDduvMuj3VFwm6HNWsC+OSTENzcJCZMSOapp7Ju+uKl0ymJivImKqog2CMkxErXriJ5vVWr3AqbnhsMcrZv17Jliw+7dokBgb+/ja5dRcDcffeVT8iI1Spj/Xp/Pv9c+MxfeimDoUOL+8xvFvHxKlatCuSHH/wwm+V07mxg8ODyTX5PS1OybFkg33zjj8Mh45lnhJR9+fIgvvnGn9GjdQwaVLKgswsX3Jg4MZLjxz149tlMJkyo+gE9eXkyJk2K5I8/fHjqqUw++KBk/ksnJAk+/DCcTZv8mT07nscfzy6zx+ZwwA8/+LFwYQiZmQp69szkzTdTqlyV3ZWQkaEosmk/e1bDuXNqV0K8UilRr57wtteubeb4cXd27NDi7W1nxIgUnnsuE4VCWEIOHfJk2zYRLpSYKFJ0mzUz0bmzsM/Ur292bRyzsxWXSLvS5ZFPTVWi0xV8np1d/ILl4WF3bd8Lk/jgYCuhoeK//f1t1b5lojQwGOQsWxbEunUBOBzQq1cGr76aVuS6d/68mrFjhaT91VdFlVWNpP3q0OuVLF0axKZN/mg0DgYNEsns1+sYd6ri5s8PRa128N57yTz6aHap7+8ZGQrefrsW+/Z50bt3OuPG6a4YDGiziTTuNWsCOXrUA63WzvPPZ9CnT0al10IdPuzOxIm1SEoS/fFDh6ZVi6DeGhRAkuDnn32ZOzeUrCwFL72UwfDhKXh7X/28EB+vYts2kW10+LAHDodQVjpD5lq2NJX5tSc+3o3vv/flhx/8SEtTERBg5emns3juuUzq1CmbgZDVKgYRf//txcGDHvz7r4fLTqbROKhVy0x4uJXAQBve3jasVkGqCxPw3FzFJbItPi5vYrka1GoHnp4O1z23OqCGoFcSsrIUZU56KgoXL7rRr199/P1trFkTU2FdnyAOSZMmRfDvvx507mxg0qSkm/JgXbjg5gp5O3ZMhLfVq5dP165iU3733RWbzHolmExyduzwYssWH3bs8CIvT4GPj40uXYx065ZN27Y336MuSRAdLXzmcXHCZ/7227py32xnZBQkv2dnK2nZUiS/d+xYdsnven0BMbfZZDz9dBZDhqS6hkt2O0yYEMnvv/syeXJiiS/eVissXRrMV18FVZuKG0mCzz8XyevNmplYuDCuxP3Q69f7M3NmOK+8ksZbb6WU2WM6fNidmTPDOXFCSMAnTEgu8818RcNmg9hYdZFAujNnNC6PHgjibrPJ8Pe38txzmXTvbqBBAzNubhKSJLYv0dHebNum5fhxcW2qVctM585GOnc20KLF9Q9p+fky0tJU6HRFSXzBNl6JXq9yBeU5oVBIBAYWJvHFJfXBwdZbru9dp1OyZEkI//ufLx4eDv7znzT69k3nzz99mD5dSNpnzYqnbdvqsYGpDBTuobda5bzwgkhmL+2w7cIFN957L5KjRz14+OFs3nsvqcRBl8ePaxg1qjYZGUomTUrimWeyiv0Zg0HOd9/5sX59AMnJbtSubaZv33SefTar0v2yVit89pm4t4SFWZk5M4GWLU2V+phqcHMwGOR88kkI//2vP76+dsaM0ZVosZSe7gyZ82b3bi8sFqHm7NhRbNbbtbtxNafZLCMqyptNm/zYt88LuVziwQeN9OyZSYcORtcSyGbDtZ3OySm6qS5MnAu22HJycooSaefvm0zFLVxXhoRcLoi1VmvHz8+Or68dDw8HXl7iV09P54e90OcOPDzEf3t5ic89PBxVQoVXWtQQ9ErA+vX+LF0azMaN5wkLq9wJ7Y3iwAEPhgypy733mli6tPzr16xWWLkyiKVLg/D0dDBxYjKPPVb6qbokwYkTGhcpj4nRANC0aUHyelWWj+Xny9i1y4vNm33Yvl1LTo4CrdZOx45GunfPvqGL9enTwme+b58X9erlM26cjoceqlhPpckk4/vv/Vi9OpCkJDfq1ctn0KCbS37X6xWsWBHExo3+WCwynnwyi9deS7tiyJjVKuPNN2uzZ48Xc+bE8/DDJZet//OPB++8E0lKiopXX03j1Ver/mZt82Zv3n03Em9vO4sWxXLXXdcmxHv3evL663V56CEjCxfGlcnwJDVVyfz5ofz8sy/BwVZGjdLxxBOlf09XJ2RnO7ftak6fFj70hAQ3QHzTcrlE/fpm7rijIEW+UaN8V2BeVJQ3f//tidUqDmkdOhjp3NlIu3Y3ngTscEBGhpKUFGURCX1hEp+aqiI3t/hK3cfH5trAO7fvzm28U1ZfHQPuzp1Ts3BhCNHR3mg0DvLz5dx3Xw4ffZRQE8p1FVit8P33fixZEkx6uoqHH85mxIiUm9q+2WywcmUgn34ajI+PncmTk+jU6doZGj/8IPIBAgJszJ8fV2zYFx/vxtq1AXz/vS95eQpat86hf/90OnQwVgnVyOXqrPHjk2tsKbcQTp7UMG1aOEePetCqVS7vvptU4mYYk0nO7t1ebN0qQuZEHpKDdu2MdOlipGNHIz4+diRJkO/ipFoQ5ZgYN/7+24vjx90xm+V4eNiJiLDi52fDZpMVItaCVJvNJbvhq1TFSfPlRFoQ7ILPL/89gPPnNZw4oeHQIU+OHXMnP1/8+xERliI+9oYNzdUirPdGUUPQKwFxcW68+GIDGjQws3JlTLWc7AD8+KMv774bSY8emXz4YfnVr50+rWbSJNH32b17Nu+8k1SqPmFnGMfWrSLoTadzQ6GQuPfe3Euk3FjpUrYbgcUiY+9eTzZv9iEqSovBoMTd3U6HDjl0757NQw9d+9Cenq7g009D2LTJr0x95jcDm60g+f3UKXeCgkTy+wsvlDz5PSNDwcqVgXz9dQBms4wnnhDE/HoHRZNJxmuviYyFTz+NpV27km/JjEY5M2aE8/PPvjRrZmLWrARq1aq6gx6AU6c0vPlmbbKylEyblsAjj1x5KBEX50bv3vUJDraxdm3MTUv5zWYZa9YE8MUXQdhsMgYO1PPKK/pK31pVFoxGGfPnh7paBGrVsmAyyUlJcXP9GV9fm4us16ljITdXxunT7uza5YXBIJKA27TJpXNnA506GcuFRObkyC+rmlMVI/Xp6cqrBtwVkPbLk+ptBAXZqpx09/x5NW+8UYekJBUgo169fEaOTKFzZ2O1GziUJy5PZm/VKpfRo3U0b152aqLTp9W8+24kp0+788wzgrRefj+wWmXMnh3Kf/8bQJs2OcyZE+/auEuSGKSuWRPItm1aFAqJxx7Lpn//9Ct6gisDkgQbN/ozd66Q9k+enES3blU/36QGpYfT0jV/fghGo4K+fdN59VVRMXilbXRRmXeBrzohwY2kJBXp6cpLAaYSCoX4+iXbUhdsqMW2uTixvta2uvCm2tPTUS7XcKsVTp1yd/nYDx70ID1dHFK1WjvNmxf42Js2NeHuXrXuIzeDGoJeSfjjD2/Gjq3Nyy/rGTtWV9kP54bxySfBfP55MG+9peOVV0rm3y0prFYZX34ZxJdfBuHtbefdd5NKvNk0m0Wdxdat3kRHizoLtdpB27Yieb1TJ2O1tRhcCVarqMHYssWHrVu9ycgQ3++DDxrp1k3UdzgPNE6f+WefBZOXJ6dXr3SGDk1zVYFUBUgS7NnjyYoVQezd64Wnp50XX7x28ntmpiDmGzb4k58v5/HHs3nttVTq1Ss5Uc7OljN4cD3i49348suLpT5k/vabD1OnhmO3w8SJyTzzzM1nI5Qn9HoFI0fW4cgRD4YOTeX114v2EBuNcvr1q09GhpL1628uc0KSYNs2LXPmhJGQ4EaXLgbGjk2ulByLqoj4eDc++iiU6Ghv6tQxM3x4CoGBNpc8/uxZ8eEM2ZHLJerUMRMYaMNqlREX50ZGhji43HOPySWFb9DAXGGvQasV9PrivviCznjx/6+0kREBd1eX1IeEVFzA3Q8/+DJjRoGkPTdXwcKFIVy8qKZlS0FAq7qdpSJQOJm9vAcYVquMpUuDWLYsiOBgK1OnJrrq8VJTlYwZU4vDhz0ZNCiNESNSUCrF3/njD29Wrw7k5El3fHxsvPhiBr16ZVSpcD+9XskHH4SzY4c37dsbmTLl5sLxalAxcAaUFQ4ku5rkOzdXUSSsLDdXjtEoJy1Nhdksw6miuh4UCskl83YSadEAApmZQgllMAgJX0iIhdq1LZjNMk6d0mCxKKhVy8yTT2bx9NNZhIVZq4RqpDSQJEhIcOPQIQ/Xx/nzQgmrVEo0aZJHixYmWrUy0aJFbqmWeVUNNQS9EjF9ehhffx3AokWxdO58c9VHlQVJgvHjI/ntN1/mzo276hautDhxQsOkSRGcOePO449nMWFC8nX9Z0ajnL/+Elvyv/4SXm0vLzsdOgiS2r79jctAqxPsdjh40IMtW3zYssWb1FQVKpUYTkREWNixQ0tiopqHHjIydmz5+8xvFidOaFix4urJ79nZClatCmDdugDy8uQ8+n/2zju8qbIN47+sJt17UjYUJwqIKCCUAu4FiAqy+URAlKUgwwnIlCWKguyhqICKmz0VRKaIrDK627RpkjY7Od8fL11QoC0dqfa+rl6Qrpy2J+e89/vc42E9gwenl9mqoNUq6dOnPnq9guXLz9O4cel+PykpKsaPj+bgQW86d9bz1lvJbr0ZZLPJePfdKL77LpDOnfVMnpyIl5eE0wmvvlqHfft8WbToAi1blt13Gx+vZto0UdfXsKGFsWNTany818CePT5Mnx7JhQtq2rc3MGZMQfe70ykWJ4U720+f1uQHyoGYiCgUEiaTWHmFhdmIizPw4IMVEy5UWkgSGAyKIr74PCl9YUl9dvb1A+4Ke+EL/z84uOwBdyaTjClTxGvh3ntzmDatQNLucMCGDYEsXBiGVqsiLs7A8OFpbn/9rAhcuCCS2bds8SckxM7LL187mb28ceyYJxMmRHPhgpoePTKJizMwblw0ubly3nsviYcfNqDXK/jqq0A+/zyY9HQV9etb6NUrkyeeyHa7Cdu2baI+zWSSM2pUKj161NSnVRQkCcxm+VXJ3sWR7DwfdQHBvjqwLK9280bICyi71nTabJbzxx/eZGSIc7VrVx0NGliLnVyr1dINz4+jRzUsXhzG/v0++fJwb2+xFn7uuSzuvrvyGoEqA3q9gqNHPTl82JtDh7zypfsgclsKp8XXr199ZPE1BL0KYbPJ6N27AQkJHnz11dlrVru4O6xWUb/299+ifu1mpG02m4xPPgll6dJQgoIcvPlm8nU3L7RaBTt2+LFlix/794tqsuBgO3FxIuTt3ntvPkCtOsPlEguaL78M4pdf/C9XM0ncequF7t2ziIszVIukbBDJpitXiuR3i0VOmzbi2Ldu9cNkkvPggwaGDEmnYcObXzAnJqro06cBACtWxJd6yut0Cu/kggVhBAU5mTw50a0JqSTBypXBfPBBBLfcYmH+/EusXRvEsmWhTJyYzHPPZZXp+xoMchYuDOPzz4Px8nIxdGg6zz3nHrVp7gy7Xcbq1cF88kkodnueDSDjmgnYOTnyQvVvBeF0ZnPeKkwCZCiVor+9TZscnngiu1Kn66VFXsBdwTS+8CRePM7IuH7A3bXC7cLC7FcRtbNn1YweXZvz59UMHpzBSy+lF7uINZlkrFoVwrJlIZjNcrp00TF0aPp/YuKp1Sr45JMwvv46CLVaJLP36XPjZPbyhtksY/78cFavDgEkwsPtLFx4EaVSYs2aYL79Vtwj7rsvh969tbRtm+N2i3KTSc6MGRGsXx/ErbeamTo1sVzuXf822O1cNZ0uzld9JeG+mYAyuVwqRKSv9FIXH0hW+HGe5DvvYyXZuHI6Yf160WRiMino3VvL4MEZJR4quVxw4IA3GzYEsmWLH3a7nDvvNNG5sx6lUmLvXt/8NXJQkCM/Eb5Vq9xStblUB9jtsssedi8OH/bmyJGCtPiKUPtWFGoIehUjIUHFs882on59KytWnK+2ZFKnE/VrubkK1q49V6bNhuPHPXnzzVqcO6fhqad0vP56SrEJ8YmJKrZuFXVohw97IUkyoqNtdOqkp2NHA02bmt3uZlxVyMxUsGBBOBs2CJ951646ZDLYts2PixfVyOUSzZuLi3inToZqsci8eFHF229H8+efXoAMf38Hgwen07NnVrn+3c+eVdOvX318fV2sXBlfJl/v339reOONaM6f19Cnj5bhw9PKHHpXGdi1y4exY2sDkJOjKHE//JVwOkVg1Pz54WRnK+jWTdSmBQVVj80gd0F6upK5c8PZtCmQsDA7r72WWuLKKZdL9EqfPq3hr7882b/fh/h4dZGwN4VCIipKBO/cdZfpss/dWm2URiLgTlGItF/tkU9PV5GTczXT9vMrCLizWERfr1rtYsCADNq1yyEszE5g4LUD7rKyFCxaFMq6dUEoldC7t5b+/bUlzsqoTjCZZKxcKTYlbDY53bplMXhwepXJRy0WGZMnR/Htt4Go1S5sNrEGSEhQo1K5eOwxPb16aWnSxD0J79GjnowbF01iogcDB2oZOjS92q79roQkib/PldPm4kh1cQT6yiqtsgSUFSbWxSd9X59Ue3reeEpdUcjKUjB3bgQbNwYSHm5n7NgUOnUyXPN40tKUfPttIBs2BJKU5IGfn4MnnsimSxfdVee/0Shnzx5ftm3zZfduX3JzFXh5OWnbNoe4OAPt2hn/ldcvSYKLF4UsvmlTc7XZCKsh6G6AzZv9GDWqDr16aRk7tvr60c+fF/VroaEOVq6Mv27PY2FYLDI+/jiMFStCCA118PbbSUVSxCUJzpxR55Pyf/7xBKBJE3N+8npMjPtOgqoCNpuMNWtEEJfFInzmgwcX+MzzfqebNwsZ/NmzwsNz9925dOpkoHNnA1FR7qXoMBrlrF4dzKpVIRiNCmJjDTRsaOHnnwNIShLJ7/36ZfL449nlRoKPHfPkf/+rR3S0nWXLylYpaDbL+OADEV4UE2Nm2rTEUsvmKxM//ujH2LG1kcng3XeT6NIlu1Rff/iwF1OnRnLypCfNm4vaNHcJYqquKPw7bdEil3HjkstMPgwGOT/+6M+WLf789ZdnsenstWtb88l6kyZmYmKs1Kplq7YbnyaT/KqqudRUFSkpKo4e9brcFy9UBoXh4SEC7q43jbda4ZNPwvnppwACAhwMGpTBc89lufVGXEnhcBQks2u1Kjp10jN8eBr16lVdAGZKiooRI+rw99+edOhgICFBxdmzYk0QFORg2rRL3H+/e1aS2e2waFEYixeHEh5u5/33E2nRouqP1eksqNEquY+6gEgL4l1Aql2uki3GCk+frybVBZPr4lK/C5Pqigooq0ocOeLJ5MlRnDrlSevWRsaPT8kPurXbYfduXzZsCGT3bl9cLhn33ptD1646OnUylGgibrPJ2L/fm23bRJVnZqYKpdLFvffm5uc0VYeBzb8ZNQTdTTBtWgRr1oQwZ86lap3c+ccf3gwaVJd77jHx8ccXbihlPXzYi7feqsWFC2q6dcti9OhUfH1d+dLsbduEfD0hQY1MJnH33QV1aDXhUlcjL1H3gw8iSEhQ066dgdGjU2/ox46P98j3rJ88KRY7t99uyifrN1OVc7PIyZGzdm0wK1YEYzAo6dDBwNCh6dxyiyB9Dgds3iyS30+eLFvy+/Xw22/evPxyXW67zcKiRefLLOfctcuHN9+MJidHzsiRafTsmel2hCctTUmPHg1RKCQiI+0cPixCl4YPT7uhZy01VdSm/fhjAOHhdkaPLvm0twY3htMpPNDz54djMCh49tkshg1Lv6lwR0kSaeXbtvmxeXPB5qdG40KlcpGTo8iXhHp5OWnc2JqfJp/3Vl0roM6cUfPaa0LSPmRIOv37Z5CdXTB1L+qLv3HAnZ+fg+xsJdnZSnx9HTz4oIFOnQyX6+fs+Pq6qs1rIS/Qce7ccM6f17hNMN7+/d6MHl0bs1mOWi1hNCpo1MhCnz5a/PycTJkShU6n5KWX0vnf/zKqPG+hMC5cEPVpf/3lxZNP6hg3ruz1aZJUEFBWmFhfKfO+cSK4+Nq84MkbQamUriLVhcPKStJJXfhr3e3+525wOGDduiAWLAjHapXRpYsOLy8X338fgFarIiTEztNPi2l5cfWxJUXh9XaeuhKgaVMTHToY6NjRUKqw3RqUD2oIupvAbpfRp099Ll5Us27d2WpNPr/9NoCJE6Pp1i2Lt99OLnZRYjLJ+PDDcNasCSYy0s477yRxzz0m/vhD1KFt3+5HRobY0WvVSuzodehgJCSkZkfvWjh1SsOMGREcOCCCuF5/PZU2bUrfZ56QoMon68eOeQEQE2POJ+uV5VvNzZXz+edBLF8egl6vJDZWeMyv1dktSaKve+nSosnvL7yQSXj4zZ03W7b4MXp0be67L4cPP7xU5ulYZqaCt96qlZ/WO2lSktv0KlssMvr1q8/582rWrImnbl0r06dHsm5dMO3aGZg+PbHYBaXVKmPFihA++ywUpxP699cyYMC1/dI1uDno9XI++iicdeuC8PNz8soraXTrpiuX0J+MDCU7dviyY4cvv//ug80mx9vbQcOGNvz8nOTmyjl7VoPRWPBktWrZaNxYkPW87vbatW1uG0IkSQUp7d7eTqZPT6RVq5LlQ+QF3F2vai4pyaNYSb2np7OQB77AC1+4Pz4kpOwBd+WFo0c9mT07gkOHvKlXz8rIkalVXi0nSfDBB+GsWBGCTCYqpNq2NdKnj5b77svNPza9XsH770fy448B3HGHiSlTkqo8xE+S4OuvA5kxIxKVysXIkWm0aJFbomn1tcPKSh5QptFc7aW+klRfr0qrMMkuSUBZDcoXVquMjRsD+eST0Mv1YhK3325m0KAM2rUzlvsmlCSJUNdt2/zYutWXEyfEGrB+fQtxcUbi4gzccUeNjbQyUEPQ3QhJSSq6d29E7do2Vq2Kr9YSufnzw1i8OIyRI1MZMKBoIMMff3jz1lu1SEz04JlnMmnRwsTevb7s3OmL0ajA01N4Yjp2/Pd6YsoTWm2Bz9zf38nLL6fzzDNZ5XLhTk1VsWWLmK7l+f3r17fQqZNIhW7SxFLuN2yTqYCYZ2craddOTMxvv73kMumTJ0Xy+y+/iOT3xx8Xye834z3auDGAt96K5sEH9cyYkVDmhbQkwVdfBTJzZiQajYt33kmiY8eqbXHIa2P4+Wd/5s+/RGxswfF88UUQ06ZFUq+elQ8/vJi/eZin1pg5M5KkJA86d9YzenRqtQ27rG44dUrNtGlRHDzoza23mhk3LoVmzcpPLmsyydm3z4ft233ZtUtUVapULlq2zKVFi1zCw+1kZKjyk+QvXFDnS1s9PV00amS5atpeUttTRcFkkjN5ciSbNgXSqpVIaa+ITV+LRcaXXwaybFkoWq2KOnWs3HGHGYdDlj+VLy7gTi4vWcBdRWx+Xbwoktk3b/YnONjO0KHpdO1aOcns14KY5Pvw3nu1yMxUIZdLPPWUjn79Mq9LvH/91Y9Jk6IwmeS8+moavXuXTa1kt3PDafSVku/CpNpolJOWproczloyXBlQVlw/9bUk34U7qb28xMfdSUVQg5Lj9Gk1GzYEsmlTAAaDklq1bLRqlcOhQ15cuKDhgQeMjBuXXOHDvNRUFdu3+7Jtmx8HD3rjcMgIC7NfDpkz0rLlfzuIuSJRQ9DdDNu2+TJ8eF169Mhk/PjShzO5C1yuvAV/ALNnX6JzZwO5uXLmzAln3bpggoIc1Klj5eRJUYfg7+8gNlYkr99/fw4aTfU696oCNptIel60KBSrVU6PHpm89FJ6mXzSJUFGhpKtW4Xl4I8/vHG5RDBP5856OncWu6o3Q9ZNJhnr1gWzbFkIOp2SNm2MvPxyOnfeWXZZZWKiilWrQtiwQaT6xsYa6N9fS7NmpjId64oVwcyaFXlddUhJER/vwRtv1ObkSU+6dctizJjUKgvn+uyzEObNi7hmwun+/d6MGiV86bNnJxAc7GDatEh+/92HRo0svPFGSomnkDUoP0gS/PKLH7NmRZKWpuLxx7MZOTK13L2DDgccPerF9u3Cr3jpkpBA3n67idhY0bdep46N+Hh1fm97XpK88HcLREbariLtderYKoVEnD4tJO0XL6oZPDidQYMyKnxabbPJWLcuiEWLQsnOVvLII9m88koatWvbiwTc5UnqSxpw5+vrLELiBYEvSuIDA50lIqWZmQXJ7CqVSGbv2zezSoMCLRYZP/wQwNKlIZfPNYnWrXOYOjXxukGTokZLhsmkIDFRxbx54Rw8KK5RXbpkodFIN5xO5+QUeKlLSqw9PFxXkWqLRc7Zs2ocDhnNm+fSooWpyKT6Ssl33uRao6mZUv9XkZsr56ef/NmwIZDjx71QqVx06mSga1cd996bi1wuNo3Wrg3m44/DcDhk/O9/GQwYoK2UJHa9Xs6uXULhumePL2azHF9fJw88ICbrbdvm4O1dM1ArL9QQdDfEjBkRrFoVUq694lUBq1XGwIH1+ecfDS++mM6qVSHo9Yp8iVp4uJ2OHYW/pXnz3Jqd3hIib3I5a1YkiYketG9v4LXXUis1uCcrS8H27WKyvn+/Dw6HjIgIW74M/u67TSWeWJjNMr78MoilS0PJylLSurWRIUPSy9XvqNMp+OKLID7/PBidTknTpiYGDMigQwdjqScreeqQAQMyGDky7aaOy24XAYlLloRQu7aNadMSb2pDoizYvt2X4cPr8MgjeqZNS7zm4vDSJQ9efrkuFy+Kzm1fX6HWePbZ8lFr1KDsMJlkfPZZKMuXh6BUSrz0Uga9e2dWiApLkuD8eTXbtomF2vHjnkiSjFq1bMTGCitS8+a5qFTiczMylPlT9ry38+fVOJ3iRFOrRfVbnjw+7y0goHwSwiVJBJ29/34kvr5C0n7vvZW7mWQ0ylm2LIRVq0JwOOC557IYNCijRK0GJpP8upL69HQVWq3yqmAupdJ1laRekHjx2M/PwS+/+LNyZQhWq0hmHzKk8pPZCweUJSaq+PbbALZs8ScnR4FMJqFUSjz8cDZhYc5rEumbDSi7UZVW3rS6uMn1lQFlJpOcmTMj+PrrIG65RdSnNWrkvqGgNahaSJLwf2/YEMhPP/ljNotchW7ddDz+ePY1r4NpaUpmzYrg558DiI62MW5cMu3ald7SWFZYLDJ+/92Hbdv82LHDF51OiYeHi/vuyyEuzkj79oYqa3n4t6CGoLshRO9tfc6dU/Pll+duKvyhKnH+vAfr1wewalVo/k0zMtLKY48JUn777Tc3cf0v4p9/hM/8jz/EVOD111No3bpqJ5d6vZydOwVZ37dP+FZDQ+3ExQkZ/LU2XywWGV99FcSSJSFkZqq4774cXn45rUKDiMxmGd98E8iKFSEkJXlQr56Vvn21PPFEdol3oCUJJk+O5Msvg4u1cJQFBw96MX58NOnpKgYPrryAozNn1PTq1YD69a0sX37+msqVvI7WDz8UtWkgo0uXLN58M7mm09yNkJDgwcyZEWzf7kfdulbGjEmp8EWbVqtk507hW//tNx+s1oKpSocOYqpyZXaBzSbLn7YXJu95XbUAYWH2IoS9SRMLdetaS3W+mUxyJk2K4vvvA7jvvhymTk2o0kVjerqShQvD2LgxEI1GTKt79775HnGHQ/wdrkfi09NVxYaBqVQuoqNt1K5ty5fU55H4vGm8n19BwN2VAWXXl31f7bO+sp/aYildQFmB5Pvq1O9r+ajNZjmLF4dw7Jg3992Xw3vvJRIZWf7WhmPHRH1aQoIH/ftrefnl9GptVaxBxUGnU/D99wFs2BDI2bMaPD2dPPqoni5ddDRtWvK18e+/e/P++5GcP68hLs7A2LEpld7A43TCkSNe+U1LSUke+aHOcXFCCl9deUxVooaguymSk1V0796QqCg7q1fHV4p85WYhSaL3Oe9Feu6cJu8jKBQQFWVj3bpzNZ7yMuBKn/mwYel06+Z+k8ucHCGB2rLFj927fbFY5AQGOoiLE5P1e+/NweWS8fXXgSxZEkpGhopWrXIYMiS9UutmHA4R/LZ0aSgnT3oSEmLnhRcyefbZrBL5ZJ1OGDcump9+CuDtt5N45hndTR+TwSBnypQofvwxgGbNcnn//USioyvuRqvTKejRoyE2m4zPPz93zSC9P//0Ytq0SP75R1R8jRmTwo8/BrBiRQitWuXwwQcJN5UkXoPyx549PkyfHsmFC2ratzcwZkxqpSyQTCYZv/3mw44dfuzcKaYqedU9QgpvJCLi2ue0Vqvg9GlPTp8ukMqfO6fOD8RSqcS0/UriXtwk+vRpNaNH1+HSJQ+GDhWbXlUdwJaH+HgP5s2LYNs2P0JC7AwZUrF+b5dLXJt/+CGAJUtCSEvzIDTURsOGVpxOGTqdAr1eidFYPGGWyaR8pZHLRX6y/43g6ekqllTn/V+nU/DPPxqSkkR/efPmJrKzFZw65Um7dgZGjkwlKEgQbQ+Pm5N+u1wiEXvOnAiUSonx45N57LHyaZlwOGDx4lA+/TSMsDA7U6Yk0rJl1den1cC94HIJu9iGDYFs3eqH3S6naVMTXbvqePhhfZnl4Xa7jJUrg/n00zAkCQYNyqBvX22VbA5Jkrj2ivq2glagRo0sl8m6gdtuK//son8jagi6G2PnTl+GDavLc89lMnGie/rRHQ44fFgkr2/b5kdKigdyuURgoIPMTBV161qZOjURk0nO4MH1uPfeHBYsuFgzdSshrvSZ9+wpfOZVHbZUEphMMvbu9WXzZrFYN5kUaDROQIbFIqd581yGDUur0oWMJIkb5rJlIezb54uXl5Pu3XX06qUlIuL6Exa7Xcarr9Zh714fZs5MKDc7yg8/+DN5chSSBOPHp/DEE9nlfjOz2+Gll+px9KgXy5efL1ZWn5qqYvZs0e8cEWFj9OhUHnrIkH8s33wTwHvvRREZaefDDy/esMqvBpULu13GmjVBLFwYht0uo2/fTF58MaPSvMVOp/Ct79ghpPAXLgjf+q23munQQUjhSxIyabfLOH/eg1OnNJw5U+Bt12oLbiIhIfZ8iXyjRhYSEz1YujQUX18nM2Yk0rKle+YjHDkiEtMPHxaJ6cOHp9Gxo3iN2e0FU2oxkS46qb462VtR7KQ6J0eO2VyynQm5XMLLy4Wnp5BtK5WCFLtc4HTKsNnEtdtkkuFyFSXyMpm47+f1xkdGioT6wr54sQkosWlTIKtXB3PhgpqwMLE5es89uUyYEE1iogevvZZCz55ZFbKIv3jRg4kTa3HkiDedOul5883kElkNrvf9xo+P5tgxLx5/PJvx45NrhhA1KILUVCXffhvIxo2BJCV54O/v4IknRD1aTEz52R9SUlTMnBnB5s3+1KtnZdy45CpXWCYlqdi+3Y9t23z580+RXRQRYctPhM+zQ1UkXC44ccKT7dt9L6t3Sx44XJWoIehujtmzw1m2LJSZMy/x8MPu4Ue3WoX3ZOvWot6T1q1ziIy08csvAej1CgYOzOCllzLyd/HyUrC7dxfS2JodtGtDkmDrVj9mzYogKcmD2FjRZ16ZPvPygs0m46uvAvnkkzCys5UoFBJOpwxvbyft2hnp3NlA27ZGPD2r9nrzzz8Fye8yGTz6aDb9+2uv6x80m2W89FI9jh/35KOPLtG6dfnIiZOTVYwfH82ff3rz0ENiEVmeU+rJk0V92vvvJ/DEE/oiH7NYZCxfHsKSJaFIUkFtWnF/nyNHPBk+vC42m4yZMxNo27byPHA1KBkyMpTMnRvOd98FEhYm+ukfeaTy++nj4z3YsUOEzB09KhohIiNt+SFz99xTuoVaZqaCM2cKJPJnzmg4c6Zg2i6TSdSvb+G226w0aWImJkZM3iuqqrNwQFlOTtF+6mvJwfNIdkqKisRED2w2OQqFIMVXJrxfCx4erquSvvMm1ZIk459/NFy8qMbT00lcnIE2bXLw8yu+n7qkAWUul1DgXE9Sn5amKlLHV+g3BYjr/y23WGjWLJfsbCXffeePRiMxaVIisbE5FVrj5HTC8uUhfPRRGL6+Lt56q/RNGpIkbD8zZkSgVMJbbyW5zRqtBlUPux127/Zlw4ZAdu/2xeWS0apVDl276ujY0VChqtg9e3yYOjWSS5fUPPigntdfT7nhwKEyoNMp2LnTl61b/fLtUH5+IiA6Lk4ERJdXQ4XNJmP/fm+2bxc8JSNDhUIhMWaM2PyrDqgh6G4Oux0GDKjP6dMa1q07V2UELU+6vHWrH3v2+GAyKfDxEQSrY0eR4D13rpi2NWliZtKkJG699epdqrlzw1myJJTXXkuhb9/MKvhJ3B8nT2qYMSOSgwe93cZnXhbY7TI2bgxg8eJQUlM9aNYsl6FD02ne3MSBA95s2eLH1q1+ZGcr8fR00batIOvt2hmrNAk0KUnFqlXBbNgQhNksp107kfzeokXxye8Gg5wBA+pz6ZKaRYvOl5uH3umEZctC+OijcIKCHLz/fsn7mq+HdeuCmDw5iv79Mxg1qiDkTpKE7P+DDyJKVZuWkqLilVfqcOaMhtGjU+ndO7Nm880NceSIJ1OnRvH33540b57L+PEpNGlSNZMErVbB7t1CdfX77z5YLMK33ratkMG3bVv6es1Tp4SkPSFBnLu1atnzZfLp6QXMPyjIkS+Pb9jQku+9LjyxLgnJvjKszGQqWUCZTCblS7wLk2pPTxc6nZIzZ9SYzQrq1RO9w/XqWa/bT13cpkZWloJPPw3jyy+DUKkk+vbV0q+fttKvq0JF5cO6dcH88Yc3kgS1atkID3dgtcpIT1eRkaG8SjKvVLoKeeCLT6kPC3PcNMk5c0bNhAnRnDzpyZNP6hg7NqVE6rTMTAXvvFOLHTv8aNUqh8mTE92CANWg6nHpkgcbNgTy7bcBaLUqwsLsPPWUji5ddBVeiVYYVquMZctC+OyzUORyiSFDMujVS+s26tU8O1ReyJzBoESjcXH//TnExRlo395IYGDphhJ6vYJdu3zYvt2PvXsFT8mrbe7QwcgDDxjLLXy0MlBD0KsBUlOFHz0szM6aNfGVVkGm1SrYsUOQqP37vbHb5QQH2+nQQZDyVq1E/+Gvv/oxZUoUBoOcQYMy+N//tNfsRXS54PXXa7N5sx9z5lyq8v5nd4JWq+TDD0WAUECAk2HD0qq8h7YssNvh228DWbw4lORkD5o2NfHyy+ncf3/OVcTN4YA///Rm82Zxnmm1qnw1RufOBtq3N1RYbdyNkJ0tkt/Xri2a/B4ba7zKy6rVKujbtwE6nZJly+Jp0qT8ZGsnTmh4443aXLzoQd++Wl55pezBQwcOeDNoUD3atDEyf/6l/J/j9Gk106dHcuCACB8cNy6lVEnXJpOcCRNqsWWLP08/rePNN5NrwpHcEE4nfPNNIPPmhaPXK+jePYthw9KrdNFiNgtF1vbtwgqTlaVEqZS4557cfCl8ZKRY2EqSWHgWlnzn5Mj59Vc/vv46CI3GxaOP6gkOdhaZVOt0SrKylGRni6+xWOQ4nQAl20lSKgv3S1875VtMpK8OKyv82NPTdd3psNksY82aYJYsCcVkkvPkk9m8/HJaiQig2Sxj1aoQli4NwWKR07WrjiFD0gkNrVzy6HTCjh2+rFwZwqFD3nh7O+nSRccLL2Tm52pkZysYOzaafft8eewxHc8+q0OnU+RP4sW/yvwJfXEy/cDAa5P4vBq6wgF3xcFul7FoUSiLF4cSHOxg0qSk6yqhdu705a23apGTI2f48DR69Spbx3oN/j2wWGRs2eLHhg2B/PGHDwqFxAMPGOnWTUfbtsYqXcMlJqqYPj2SHTv8aNjQwoQJKW5n+bHb4dAhb7ZtE1L41FRhlW3RIjdfCn+t4LvERFW+MuvPP71xOmWEhNjzlVmtWuVWiwyv4lBD0KsJdu/2YejQenTrlsU77yRX2PMkJqryQ94OHxYyxOhoW34dWtOmpvxFvVar4P33o9i82Z/bbjMzaVJiifw0FouoXzt9WsPy5fHVxg9SUbBahc988eJQrFYZL7yQxaBB1cNnXhh2O2zaFMiiRaEkJXlw550mhg5Np02bq4l5cXC5RBLo5s2iaz011QOlUqJVK0HW4+IMpd5RLQ9YLDK+/TaQ5ctDSEy8dvJ7UpKKPn0a4HLBypXnqV27/NQuZrOMWbMi+PLLYJo0MTNtWumrexISVPTo0ZDgYAdr1sTj4+NCr1ewYIGYtPn6ivDBZ54pW/igywUffxzGp5+G0axZLnPmXCI4uPrsVv+XoNfLWbgwjC++CMbHx8mrr6bRrZuuQkLUnE7yp803knwbjaJqKyFBTVqaKj+wTKkUpNbhkJW4RsvT82oSXbhKy9PTicMhIydHgU6nQKtVkpqqQqcrGDH5+Ylp+y23FITSNWpkrZQFX3a2gkWLQvniiyDkcujZM5OBAzOK3bB0OOC77wL56KMw0tNVxMUZGD48tdJzIXJz5XzzTQCrV4trZVSUjZ49M+naVVdEEfHPPxpGjKhDerqSCRNS6Nbt+iGbkiRUfAXkXVkMiVcVaQHIg0bjKkTYHUX+n0fiQ0Ic/POPJ+PH1+L8eQ3PPZfJqFFpRfIaTCYZs2ZF8tVXQcTEiGtw48Y19Wn/ZZw6pWH9+kC+/z4Ao1FBdLSNbt2yePLJbMLC3EtRsWOHL9OmRZKU5MGjj2bz2muplb5xVxLkhU0Lsu7H2bMibDovuyQuzoDdLmP7dhFCd+aM+HijRpZ8Un7HHeZ/xaZZmQi6TCZrBSwCGgLHgYGSJP1dYUdZQvybCToUyMOnTk3g8cf1N/6CEkCShMxr61YxwTx1SiQuxsSY6dhRTMpjYooG+UgS/PijP9OmRZKbK2fo0HT69dOWalGv1Sro1ashVquMtWvj8yck/yVcKSnu0EH4zOvWrV4+c4cDNm0KYNGiMBITPbj9dkHMH3igZMS8OEgS/PWXJ5s3+7F5sz+JiR4oFGKq1qmT2CyqiqlQXvL73397Ehxsp1evTLp3z8pfNJ87p6Zv3/r4+LhYuTK+3G/SO3b48vbbtcjNlTNyZGqJg5RycuT07t2A9HQln38eT61aNr7+OogPPwzDaCzfSerPP/sxcWI0QUEOPvzwUpXJqGtwY5w+rWbatEj++MOHW24xM25cCs2bm7DbZfkS78LEuvRhZSUPKFMopKum03K5RE6OgqwsxWXyJcPHx0GTJhZq1bKxb58vmZlKunfPokePLHx8RGK4p6erzJsNer2cs2eL1r+dOaPJ3yyQyyXq1ctLki/wt4eH2yvE2pGUpGLBgnB++MEfX18nL76YQY8eWajVEpIEu3b5MmdOOOfOaWja1MTo0ak0b165wZspKSrWrg1i/fogjEYFd9+dS+/emcTFGa5aF3z/vT/vvlsLPz8nc+ZcomnT8qvVtNlkZGQor0vi09OV2O1FV+9yuURwsIOQEDs5OQoSEjzw93fy7LNZ3HtvLnq9gnnzwklMvHkVUw2qN3Jy5Pz0kz/r1wdy4oQXKpWLTp0MPPOMjnvuyXVrYmixyPjss1CWLg3Bw0Pi5ZfT6dEj061VmhcverB5sx+bNgUQH6+mQPUkERNj4fHHs+nUyViuAxF3QVkJ+kFgHLALeBL4nyRJD1XYUZYQ/3aC7nDAwIH1OXlSwxdfnCvz7rjLJfo680h5QoI6v7OwY0exQ3Utr0x6upJJk6LYscOPpk1NTJqURIMGZdtFPndOdDBHRtpZuTL+qq7cfzNOntQwfXokf/4pfOZjx6Zw333uJTu6ERwO+PHHAD75JJSEBDW33mpm6NB02rc3lutCVZLETvWvvwqyfuGCOF+bNTPRqZOob7tedVN5Q5KEVHzZshD27hXJ7888o6N370wiIuwcP+7J//5Xj6goO8uXny/3CjKtVsFbb0Wze7cvbdoYmTw56brBV04njBhRh927ffn00wvI5RLTpkVy+rQnLVvmMHZsSrlK8kHI8l99tS5Go5ypUxNrrCwVDBFQJi9CjIv6qK9O+S5MslNTxWTS6ZQhl0slnlKr1deSfRdMq4U0/Nod1SUNKMvKEgFD27aJHBSHQ45MJtGyZQ7dumXTtq2xwlRHTqfomM8j7HmJ8klJHvmfI6btRSvgGjWylFv45T//aJg7N5y9e32JjLTx1FM6/vjDhz//9KZuXZEA36mToVLzH44e9WTVqhC2bPEDoHNnPb17ZxZLuu12mD07gtWrQ2jRIpdZsy5VSSe9JBUOuCsabpeWJkh8crISk+lq1uLp6SIy0nZdSX1QkNOtSVoNSg9JEuf6+vVB/PKLP2aznEaNLDzzTBaPPaavVr5mED7599+PZO9eX2JizEycmEKzZu5VC6jXy9m92zffT56bK1qA6tcX1ZDnz6ux2+UEBTlo314ME++7L6faytmLQ1kJ+iFJkppf63FV4d9O0AHS0pR0796I4GAHa9eeK/HN326X8ccfog5t+3Y/MjJUKJUuWrXKvdxNaLzuIl+S4NtvA5gxIxKbTcYrrwjv1c1KIvft82bo0Hrcd5+oX3PnnbzygFarZP78cL75JqDa+sydTqGg+PTTMC5eVHPLLWaGDEmnQ4fyJebFQZLExk7eZD1P3nTnnSY6dzbQqZO+UoNYTp3SsHRp0eT3fv20ZGUpGTKkLrfeamHx4gvlXm0lSSLsbdasCLy8XLzzThJxccWT4Hnzwvnss1BefjmNM2c0/PqrP5GRNl57LZXOnStuQZ+ermTEiDocP+7FK6+k8eKLGTXhcYXgcFCM7FtRCpJdUKdVmoCya/mo1WoXFy968M8/nsjlEm3a5BAba8Tf31mESN8ooKwikZMj5733ovjppwBuucVMgwYWfv+9wLfeokWBb/1ansXyhNF49bT99Gl1vmpAJpOoW9dG48YFne0xMRaioso+bd+0SajXDAbRiPHMM1mMGZOCh8eNv7Y84HCIhpGVK0M4dswLX18nzzwjFAzXUsJptQpee60Of/7pTa9eWkaNSnWbsKpr4dgxDS+/XI/sbCVqtYsnntDh4UH+ND41VUVmphKn8+qAu9BQRxEJ/ZWS+vIIuKtBxSMrS8GmTQFs2BBIfLwGT08njz6qp1s3HXfcYa7W9zNJgm3bhOw9NdWDJ5/UMWpUapXa0pKSVPm1nH/+6Y3DISM42J6f8l7YT56bK2fPHtEmtXu3Lzk5BYFwcXEGHnjAWGX5ReWFshL0eOC1Qu+aVfixJEkbyvMgS4r/AkEH2LvXhyFD6vL009m8917SNT/PZJKxb59IXt+50xejUZGflt2xoziBSzJxSE1V8e67UezZ40vz5rm8+25SuabJf/11IO++W4vnnstkwoSUan3RuxasVhmrVgmfuc0mo1evTAYNyqhWfalOJ/z8sz+ffBLGhQtqYmLExLxDB2OVTQzy5E+bN/vz99/CnnHLLeZ8sl5ZHszkZJH8vn59QfL7XXeZ+OijcFq1ymXBgosVIomMj1fzxhsihbhbN7FQL1xT8sMP/rzxRm1uu83E2bMa5HIYMCCDfv20lVJrZ7HIeOedWvzwQwCPPCKuV5UVclnekCTx85RV8l34sckkz5dM3wgqVWFSfO0QshtNqsWU+voBZSCyCmbNimTbNj/q1LEydmwK7dpVfX3eP/9oeO212iQkeDBsWDoDB2Ygl4vr0vHjnpc9ib6cPy827Zo0MdOhg/Ak3nrrjfvWywsuFyQl5fW2q/PJe0KCOv9zfHyc+aS94M163Y08nU7Bp5+Gsm5dEEoltGlj5J9/PElK8qBlyxxGjUrjjjvKTy5+JYxGORs2BLJ2bTDJyR7Urm3lhRcy6dIl+7rHfeyYJyNH1sFgUPD220nlZs+rKEgSbNwYyLRpoj6te/csvv8+gKwsJYMGpfO//2Xkby44nZCZqSy2aq6wX744m0dAQEHAnZjE2wsl19uJiHDg5+f8V66H3BkuF/z+uzfr1wexbZsvDoecpk1NdO2q4+GH9VXaMFMRMJlkLFoUxooVwXh6Srz6ahrdu2dVSB7Jlcjzm+ddu0+fFmu4hg0L/OR33nljP7ndLuPAAW+2bxcKKzGAFJbIuDgDHToYqmXLQlkJ+rLrfE9JkqQB5XFwpcV/haADzJ8fxuLFYUyZksiTT2bnv1+vV7BjR0HPoMUix99f9Ax27Ch6Bku6QM7r+Zw1KwKXS8bw4an06JFVIWQsr+99zJgUevf+99SvSRL8+qsfc+YIn3lcnPCZ16lTffwyTif8+qs/n3wSSny8hkaNLAwdmk7Hjga3kvIlJanYskWQ9aNHvQBxoc8j6zEx1gpf7GRnK1i3TiS/Z2UpiY62kpioplMnPbNmJVTITc9ul/Hhh2EsXx5CnTo2pk1L5I47zBw/7kmfPvWRy8Fmk/PQQ6I2rbLzHiQJliwJYf78cG67zcy8eZcID6+cm2VpAsqKEuviJ9VXTsuuhRsFlF1Jsr28nIVSwot+bVV5XfftE126Fy6oadfOwJgxVZOPIUnw1VeBTJ8eSUCAk+nTE7jnnmvLMS9c8Mifwhw54oXLJSM83E5srFCKtWyZe82WkYqEySQvQtjPnBH/5uQUXBRq17YWmbTHxFgICnLw+ecFqe5du+oYOlQks9vtMr78MpBFi8LIylLy4IN6hg9PK9f7S0KCirVrg9mwIRCTScE99+TSu7eW9u2vbrO4EuvXBzJlSiRhYQ7mzr3ELbe4dx5FVpaCd9+txbZtftx7bw5TpiQREWFHr5czfXokmzYFcuutZt5/v+QhnXkBd9fri09PFy0DV9bNqdWuIin1ERFXk/jgYLvbqxGqA1JTlXzzTSAbNwaSnOyBv7+DJ57IpmtX3X8iDDA+3oP3349i/34fbr3VzMSJyeWaD5GHPDXvtm2+7NjhR1qaCrlcWGzj4gzExhpv6j7jcon8om3bhIX3wgWxMXr77Sbi4ow88oi+2vjVa1LcqykcDnjxxfqcOOHJggUXOHdOw9atfhw8KGoGwsPtxMWJMK0WLXJLLaFOSlLx9tu12L/fh3vvzeGdd5IqVDrscsHo0bXZutWPefMu0aFD9fesnjgh+swPHfImJsbMmDGp5dJjXVlwucTmwiefhHHunCDmgwen07mzexHz4pCWpmTLFj+2bPHn0CGxSK9b13rZs67nttsqdqJmscj47rsAli8PyZ+cNWuWy6JFFypsgnzggDfjx0eTmankscd0/PhjAHa7nIYNzZerVarWY7Z9uy9vvBGNt7eLefMuceedxd/8bTbZdYh04cl10en01ZPr0geU+fgUJdKlmU7nEWsvr7IHlLkb7HYZa9cGsXBhGDabjD59hPKnvC0b10JOjpx3343i558DaNPGyPvvJxIUVHIJZlaWgl27BFn/7TcfzGY53t5CBhkbW/UySEkS6ps8X3secb940SOfrMlkEpIkIyrKxpNPZtO6dQ6NG1uKZLbk5MhZsSKEFSuCsdvldOuWxeDB6WX2eEsSHDrkxapVwWzf7odcDg8/rKd3by233XZjkm2zyZg6NZKvvw6idWsjM2YklnsWR3lj924f3nyzFgaDguHD0+jd++r6tC1b/Jg0KYqcHDmvvCI+p7xe63Z7XsBd8b74vMc2W9GDkslEwF1RSX0Bic/zyf/bJr/lAbtdhCyuXx/E3r0+uFwyWrXK4ZlnsujQwfifsyFIEvzyix8zZ0aSnq6iW7cshg9Pu+n2HIOhwE++Z4/wk3t6is7zDh0MtGtnLNV1vTSIj/dg2zaR+H7smBfjxiXTs2dWhTxXeaPMBF0mkzUBBgG3XH7XSWCRJEmny/0oS4j/EkE/f96D774LYNmy0PypTv36lvzk9dtvL5s/xuUS3tY5c8KRyWD06FSeeUZXKYTMbJYxYEB9zp0T9WslWQi4IzIyhM/8228DCAws8JlXl0W7yyUWIgsXhnH2rIYGDSwMGZLOgw+6PzEvDlqtgm3bBFk/cEBsYNWqJaoDO3fW07RpxVVyOJ3Crzl1aiRarQqNxsmLL2p57rnMCiEGCQkqXnyxHklJakCiR49Mxo5NrdBzr7iAsmtNp5OSVGzf7ofFIkJ2vLxc+dPpPOLtcJTsj6HRuIoh1VcS7KvDywqm2AWkWq2+fkDZfx1arZI5c8L57rtAwsLsjBqVyqOP6iv0d3bypJC0JyZ68MoraQwYoL2p16nFImP/fh+2b/dlxw5fMjNV+b71PDllrVpV3yYi2j18mT07gsRENcHBogYsOdkDo7HghVyrlq2IRL5JEwsajYvFi0P5+usg1GoX/fpp6dMns8TkzG4XaqlVq4I5ccILf38Hzz6bxfPPZ5W4kSItTcmoUXU4dsyL//0vg2HD0tz63mc2y/jggwjWrQumcWMLU6cmXDc0MzNTwXvviSl7s2a5TJ6cVGmKOEkSKq1rSerzpvEGw9UTGW9v5zUl9XkkPijIUS3v8aXFhQsebNgQyLffBpKVpSQszM5TT+no0kVXqRk27orcXFHDuXq1qOEcMUKsYUtzbiQnq9i+vaifPCjIQWysyAi5776Sq3nLC2lpSjQaV7XxppdV4n4/sAFRtXYIkXvfDHgR6CpJ0u8Vc7jXx7+ZoOd5NfKS1+Pjhc+ubl0rFy+Kiq758xNu6jkuXfLg7bdrcfCgN61bG3nnneRKl8NqtUp69myA0yljzZpz1co3YrHIWLUqhMWLQ7DbZfTuncmLL1Yfn3leaMjHH4dx+rQn9epZGTw4nYcf1rv1Aqs0yM5WsH27L1u2+LFvn0iCDguz06mTkME3b26qkJ/V5RJJ6tu3i7RjT8+C5PfyeI05HPDll0EsWBB2eREvw8PDiYcHjB+fzOOPFyVTdjvXlXxfSbCv9lEXfd+V0szikBdQ5unpwmhUYLHIiYqy0aSJJZ9k30jynUeqvbxc1SpY8d+CI0c8mTo1ir//9qR581zGjUspd9myJIlzecaMCAICnMyYkUCLFuWr/nC5hG99xw7hfTx3TtxPY2LM+YFEFa2yKQ4nTmiYPTuCAwd8qFNHJLPnBTlKksiDKRxGd+qUhosX1fkBgZ6eLho1shAVZePCBTWnTnkSEODg5ZfT6dYt65pSaL1eztdfC2tOerqKevWs9O6t5YknskuVVfHnn16MHl0bs1nOlClJdOpkKI9fS4XhxAkNb7xRmwsX1PTpo+XVV9NKNDWVJFEXN3VqFA6HjNGjU3n22ZJVXlYGzGYZGRnXrppLS1Oh1RYXcCcREnJ9X3xYmL1aTpYtFhmbN/uxYUMQBw96o1BItGtnpFs3HW3aGGvuJ8XgzBk1U6ZE8eef3tx5p4kJE5K5/fbir/eSJDZV866p//wj/OT161vys0Aqchjyb0RZCfpPwHRJknZc8f72wBuSJD1S3gdaEvzbCLrTKWRmW7f6sW2bHykpogu6RYvcy/J1IxERdj76KIxPPgnjvfcS6dIlu0zPs3ZtMPPnh6NSSbz+egpPP51dZTebM2fU9O7dgOhoGytWnHd7aVaeLGjOnAiSk6ufz1yShPx44cIw/vnHk7p1rbz0UjqPPvrvIebFwWiUs2OHL1u2+LN3rw9Wq6js6NhRkHXhVS2/53O5YNy4aH78MYA778zl5Enhk3/kEZH8HhNz7alN4YCyKyXfx455snFjIBkZKvz8HBgMSm67zURoqIPDh70wGJT4+jrx9XVisYivs1pLH1BWkul0cZLvPFLt6VkwpbbbZUyZEsn69UF06GBg6tREt3+d10DA5RIhWvPmhaPXK+jePYthw9LLpWooJ0fOO+/U4pdf/MskaS8rLl3yyJ/2HD4sLDFhYfb8ac+99+ZWaBZAYqKK+fPD+emnAIKCHAwenM4zz1ybUBeGxSLj3Dl1IeIu5PJ6fVHGodE4adMmh4cf1hMTY6FuXRsJCR6sXh3Md98FYjbLadUqhz59tLRtm1OqhbQkwdq1QcyaFUl0tI158y6VuX61MuB0wpIloSxcGEZwsIMpUxLLZD9LTVXy9tu12LfPl/vvz+G995IqtfLzZuB0QlaWslgZfR6hT0tTYTJdvQjw93dck8TnTeP9/d0j4O6ffzSsXx/IDz8EYDQqqF3bSteuOp56KpvQ0OozAKoq5G1GffBBBFlZSp59NotXXknD39912U/uxfbtfuzY4Utqqkd+ZXMeKS/PQOn/GspK0E9LkhRzjY+dkiSpSTkeY4nxbyDoVquM338X1QE7dvii0ynx8HDRunVOfoDClX4QpxNeeqkeR496sXbtuVIFWpw/78Fbb9XiyBFv2rUz8NZbyZUW4HQ97N3rw8sv16VNGyPz5l1y293NEydEn/nhw940aSJ85vfeWz185pIEO3eKifnJk57Urm1l8OAMHn00221/3xUFk0nOrl0+bNniz65dPpjNCvz9HXToYKRzZz333Vf6BXpBQFkBoTYY5MyfH8HJkxoefFBPerqKv/7yzJ/kR0fb8PCQCkm+C+TfJe2mVigkgoIc+WRar1eQnKxCrXZx33251K9vvW4ndd7k2tvbVaFhWpIEa9YEM3NmBA0bWvnww4tuITGuQcmg1wsZ5BdfCBnkK68IUlnWTb2TJzWMHl2b5GQhae/f/+Yk7WWFTqe47Jf0Ze9ecS3w8hLkVvglc8rNT52dLZLZv/hCJLP36aOlf39tEX95WSBJog4sj7Dv2ePDsWNeRfzLou8eZDK44w4z3bpl0amTsdQ/m9ksY9KkKDZtCiQ21sD77ye6tWosMVHF+PHRHD7szSOPZDNhQvJNSV7zQgxnzRKp72+8kcITT1TdgKO8UTjgrvA0vjChz8wsPuBO1M3Zi5XUh4U5CA11VMg9xmiU89NP/qxfH8Tff3vi4eGic2cD3brpaNEit2aKWwYYDHI+/jiMtWuD8fJy0aCBlfPn1eTkKNBoCvzk7dtXnJ/8v4ayEvQ/JUlqcY2PVVknenUl6Dk5cnbtEsnre/b4YDIp8PFx8sADRjp1MtC2bc4NQ3m0WiXPPNMQPz8nX3wRf8PPdzhg1aoQFiwIQ6Nx8cYbKVfJYKsaX34ZyKRJtejZM5Nx41Kq+nCKID09z2ceSFCQg1deSaNLl+rhM5ckEYjz8cdhnDjhRXS0jZdeSufxx/97xPxK2GwysrIU7Nzpy86dvhw86I3ZrECtdhETY6FhQwthYQ5sNtl1U79NJgVmc8lWAQqFhFIpYbfLcLlkeHo6qV3bRp06tmK90x4eLn77zYdt20R40zPPZNGmjZHXXqtD3bo2VqyIv0qW+tdfnrzxRjSXLnnQr5+WYcPSqywd/Ers2+fDa6/VRqmUmDPnUrnLmWtQsThzRs20aZEcOOBDkyZmxo1LKdXfUJJE7smMGREEBjqZOTOB5s3d4xywWmXs3++dPyHSalUoFBLNm+fSoYOR2FhDmTyrFouM1auDWbo0lNxcOV26iGT2kvq8ywKzWahWvv8+EKdThlwu5MxWq7zItD0szF4kRb5JEwt161qLvTckJakYMaIOp05pePnldF58McNtyY8kwTffBDBtWiQKBUyYkMxjj5Vf5VtCggcTJ9bi0CFv4uIMvPlmUplD+qob7HbQagtIfB5xT00tOpUvLuAuKKj4aXzeJD4szF6iDStJgsOHvVi/PpBff/XHYpHTuLGFbt2yePxxvduHFLozUlIK/OR//OGdb40ICrLz4osZdOumq5Ta1v8aykrQ04EvivsQ8KwkSeHld4glR3Ui6Fqtgh07hJ/899+9cTjkBAfb6dBBhLy1alX6KpgDB7x58cV6PPqonvffT7wm2T57Vs2bb9bir7+86NhRz8SJKYSEVP3UvDjMnBnBypUhvPFGMi+8UPXJixaLjJUrQ/jssxAcDtFnXl185pIklAkffxzG8eNe1KpVQMyra02LyyUCynJyiq/Sul7q95UT6tzckgeUyeUi9TsgwIGvb9GAshuFk3l7u3C5JCZMiCYhQc2iRRdo3tyUn/y+YkUIly6pqVPHSt++Wp58MhuNRsq3UnzwQQSpqR488kg2o0alodG46NGjIRaLjM8/v3Zug8kkY+ZMkax8yy1mpk9PdBsZ6vnzHrz6al0SE1W8+WYKXbvqqvqQalAK5NVJzppVcG6OHp16QzWW0Sjn7bdrsXmzP23bCkn7zSYGVxRcLjhxwjN/oXr2rPCtN2pkoUMHIYW//fbreyydTti0KYAFC8JJS1MRG2tgxIg0GjasuNehTqfgyy+D+OKLILRaFQ0aWGjY0Mpvv/mQmyvn8cez6dkzE71eWcTfHh+vzr8eeni4aNjQSuPGBRVwer2cSZNq4XLJmDYtgXbtcirsZ7hZ6HQK3nsvii1b/GnZUtSnVUS+jtMJq1cLu6C3t4s330ymc2f39uFXFiRJ1AAXncQXldSnp6vIzr56J8jLy3lNSb1GI3H4sBe//urH+fMavLycPPqonm7ddGUOS/6vQ5Lg1ClN/rXu5EnhJ69Xz0qHDgZiYw2cP69m3rwI9HoFPXtmMnRoerVYB1cnlJWg973eN5UkaUU5HFupUV0I+urVwcyYEYEkyYiOFmnSHTsaaNr05gOqFi4M5eOPw3nnnSS6dSu6yLXbYenSUD75JBRfXxfjxyfz0EMGt76AOZ0wcmQddu70Zf78S7RvXzX1a3nkaPbsCFJSPOjUSc+oUWnVok9RkuC333z46KMwjh3zIjLSxqBBGTz1VHaV9AHb7RQbQnYliS4ujKw4D3ZJIJdLVyV9l8RXXdhH7eHh4tQpDXv2iJtWVpYStdpFmzY5dOqkJzbWWKoblFaroF+/BmRlKVm27DxNmojwFacTtm3zY+nSEP76y4ugIAcPPqjn5EkNR496c8stZt54Q0wp7XYYPLgeR454sXTpee6668a9pdu2+fLOO7UwmeSMHp3K88+7R7iRXi/n9dfr8NtvPvTqpWX06NT/vKKjusFslrF0aShLl4agUEgMGpRBnz6Zxao1TpzQ8NprdUhJUVWppL2sSEjwyE+EP3RITJVCQ+3ExorJeqtWuflhWnmbo7NnR3DmjIY77jAxalRqhVYfnjunZtWqYL7/PgCrVU6bNkb69NFy//25yGTi9bZkSShr1gQD0KNHFi++mJE/abTbZcTHe+RXv+XVwGm1Bbu5CoXEXXeZuOsuUz55r1/fViX3lWth714fJk6sRXa2qE/r0+fq+rTyxrlzasaPj+bvvz159NFsxo+/ORn9fwkWS/EBd1f2x18ZcAcSfn5CfRYZWRB0d2XtXM2kt3jY7XDwYIFaKCVF+MnvuqvAT16/ftH1rl6v4MMPw/jyyyCCgx2MHp3KY4+5lxK3OqOmB70KcOKEhl27fImLMxATYy3Xk9npFAv2w4e9WLPmXH5dyKlTGt58sxYnT3ry8MPZjBuXUm18IiaTjP79G3D+vAcrVpzn1lsrt37tr788mTEjIt9nPnZsKi1bur/PXJLg99+9+fjjMI4c8SYiwsaLL2bQpUvpiLmo0ZJdN/X7WiRbVGzJi1RpXSlzuxY8PFzXINVX1mVd2U99dQp44YCy8kBegOOWLf5s2eJHeroKpdLF/ffn0rmzng4djCUKzUpOVtG7dwOcTli58nyRYEFJgh07fJk6NZKUFA9AolWrXN5+OylfVjtlSiRffBHMlCmJPPlkdomPX6tVMnFiLfbu9eWBB4y8916iW8gxHQ744IMIVq8OoU0bIzNmJODnV7OwrW5ITFQxc2Yk27b5Ubu2lbFjU/M3VyUJvvgiiJkzIwgKEpL2Zs3cQ9JeVmRnK9i924ft2/3Yu1fY1Dw9hW89JsbC77/7cOiQN9HRNoYPT62wjfG8zdiVK4PZu9cXtdrFE09k06tX5jWn9KmpKhYsCOO77wLw8XExcGAGL7yQWWwFUm6unLFjo9m5048mTcw0amQhPl7D2bNq7HZxXVcqhT+1QCZvJSbGXOnXF4tFxuzZEXz+eTCNGlmYNi0xfxO0MmC3w2efhbJoURhBQQ7eeSeJBx5wX5VBdUBKiopvvglg48ZAUlI88PV10qJFLjExFiSJfBKfR+5zc6/ewPfzu7GkPiDAPQLuKho5OXL27BF2uT17fDEahZ1P+MmNtGtnKNHr9sQJDZMnR/HXX17cc08uEyYk06iRe6jzqjPKOkFvCzSQJGnl5cdfA0GXPzxZkqRtFXGwN0J1IegVjcxMBd27N8Lb28WqVedYsyaEzz4Lxd/fwZtvJtOxY9VMoW8G6elKevZseDkt9lylBNmlpyuZN090/wYFORg+PI2nnqoePvPff/dmwYIwjh71JjjYzpNPZtOiRQ52e/H91MVNpwuT6pIGlBWuxMrrqC4gz85C778xyXanKcz1kFfZtHmzIOtJSaJt4d57c+nUSU9c3PVvcvHxavr2rY+3t4sVK+IJD3fgcAhf7kcfhWMyyXn44WycThlbtvgjSfDII3qioqwsWhROv34ZjB6dVurjliT4/PMgZs+OwNvbxbvvJhEb6x7Xhq+/DmTKlCiio20sWHCRunXdX6lSg6uxb58P06ZFcP68hgceMPLyy2ksWRLK5s3+PPCAkSlT3FfSXlbYbDIOHPBm0yZ/tm71v9yYIFG7to1nnsmic2djuSuvrFYZP/wQwKpVwZw9qyEkxM7zz2fx7LNZJf79nj6tZt68cHbt8iMszM6wYWk8+WR2/v3uwgUPRoyow/nzakaOTKVv38xCrQxw8aI6f8qe95aeXjBtDwpyFPG2x8RYaNDAWiFZGH//rWHcuGji4zX06qVlxIiS1adVBP7+W8OECdGcPavhmWeyeO211JrGilLAbpexY4cv69cHsm+fD5Ik4/77c+jaNYu4OON1z5/cXPlVkvoCn7z4V6u9OuDOw0ME3OVN4IufxldMwF1FIzVVxY4dIgTzwAFhrw0MdNC+vZiS339/TplUBi4XrF8v2j1ycxW88EImQ4ak15zrN4GyEvStwCuSJP19+fFxoB/gDYyXJOnhijnc66OGoBfgjz+8GDiwPj4+onP48cezGTs2pVyqcKoKp06p6dOnAXXr2li+/PwNg/DKCotFxooVISxZEorDAX36ZPK//2XcdLLu9SBJXA4eK85Hff2O6sI+6uxsBTk5ihITaqXSdRWhLir5Lr46q7hJtaenq1pJVCsCkiQWZFu2+LN5sx8XL6qRyyWaNzfRubOejh0NxW4u/fWXJwMH1iMyUiyMP/oonLNnNdx3Xw5jx6bk70anpqpYtSqYdesCsVoVBAY6mDEjgVatcsu843/2rJo33ojm1ClPunfP4rXXUvDyqvqFx8GDXowaVQeHQ8asWZdo3dr9VSs1uBp2u6jxXLAgDItFjkyG2weK3QyysxUsXhzK558HIZeLGsWAACd79/py5ozwrTdsaMkPmbvzzrJ3A2u1CtatC+bLL4PIylLSpImZ3r0zeeQRfZmJ7x9/eDFnTgTHj3vRqJGF4cPTcLlgwoRolEqJmTMTuO++kr0WdToFZ84UVL+dPi2m7XkqKqVSol49a34YXR5xDw11lOl65nTCsmUhfPRROEFBDiZPTuT++6v+umGzyViwIIzly0OIirIzaVJihdob/g04f96DjRsD+fbbQLKylISF2enSRcfTT+uIji6//AC7HTIzixL3K2vn0tNVWCxXv0iDggoT98LT+IL3+/i4qnQaL0lw+rSGbduK+snr1rXmZ2fcddfN22vzoNMpmDs3nA0bgggLs/P66ylub6V1V5SVoP8hSVLLQo83SJLU9fL/90qS1OZ6TyqTyZYCjwPpkiTdUczHZcA84FHABPSTJOnQjX6YGoIuYLXKWLgwjKVLQ5AkGc89l8nEie6Vgl5W7Nrlwyuv1KVdOyNz514q12m2JMHPP/sze3Y4qakedO6sZ+TI1Gum9LpcFAkYM5kU1wwru1E4mcmkwOEo2RXM0/Nqomy3C09kVpYKT08h+2rZMhd//+v3U7tLkve/EZIkEq43bxZk/dw5sTi/6y5B1jt1MhSpFfvhBz/Gj6+NyyUjMtLG2LEpxMUZr7qxJSaqeP75hpcX9RI6nYrbbzfRv7+WTp0MZXpN2GwyPvwwjOXLQ6lXz8q0aQncfnvlWkmKQ2Kiildeqcv582rGjEmhRw/38MvXoOTIU2rk1VCZzaJScOTIf5df0WKRsXZtMJ99JpLZn3oqm6FD04qENiYmqtixQ3g8Dx4UvvWQEPvl6ZWRVq1yipWWX4nTp9WsWhXCDz/4Y7fLiY010Lt3Ji1bln2jrjAkCTZv9mPevHAuXVIDUK+ehU8/vUhU1M2RI4cDLl1Sc/q0ughxT031yP+cgAAxbW/cuIC0N2pkve4UPDFRxYQJ0Rw65M1DD+l5881kt0vuPnzYiwkTapGY6EGvXpm8+mpaif7e/xWYzTI2b/Zn/fpADh3yRqGQaN/eSLduWbRpk1Nl6kVJAoNBUSSlPi3tal+8Tnd1aIqnp7PI1L242rmQEEe5/mx2Oxw65H05I0Oo+mQyiaZNzZdJuYEGDSpWlXb0qCdTpkRx8qQn992Xw/jxyVd52GtwfZSVoJ+RJKnxNT52VpKkRtd7UplM1g7IAVZeg6A/CryCIOitgHmSJLW67k9CDUEH8aJ4661axMdrePppHSkpSg4f9mb16vhK925XFD7/PIj334+iVy8tY8emlupr7XZZPikuPK0+eVLDxo2BJCSoCQmx07JlLr6+zmtKvm8moMzHp6ivujjJd3HT67yPF76QHzniyUcfhfP77z4EB9sZOFBL9+5ZNTd9N0R8vEf+ZP2ff8Qu9m23mYmNNZCZqWTjxkBAnKMtW+aycOHFqzZQcnPl9OrVgPR0JWvXxhMRYWfTpgCWLw/h4kU1tWtb6ds3k6ee0pXpHNi/35vx46PJylLy8ssiuKuqLR25uXLeeCOaHTv8eOaZLMaPT6mW0sL/IgwGkdK+ZYs/7doZmDIliYsXPZg6NZITJ7xo1iyXceNSqvW9yemEH34I4MMPw0hN9aBdO5HM3rjx9T2Yer2c3bvFAnrPHh9ycxV4erpo3dpIbKyR9u2NReTpLhfs2ePDypUh7N/vg6eniyef1NGrVyb16pX/wtdgkDNmTO18L7vVKqdTJz2vvppWIQttvV6eH0aXN3U/c0aTP7mUywum7TExVpo0MRMTYyUsTFwDp06NRCaD8eOT3a4ytjBMJuGNX7cumHr1rLz/fiJ33nnjcM9/M06e1LB+fSA//hiA0aigTh0rXbvqeOqpbLdtGCoOVqssn6xfPY0vmNBf2RYjKg9vJKm3X1fZlucn377dj927C/zk990n/OTt25fMT16ecDrhyy+D+PDDcMxmGf36ZfLii+luodCrDigrQd8EfCJJ0g9XvP9xYIgkSY/d6IllMlk94PtrEPRPgR2SJH1++fEpIFaSpOuOgf/LBN1ikbFgQTirVgUTFmbnnXeSadMmh6ws4UfXaFysW3euQmXaFYErA8rySPXKlcHs2OHHww9nc9ttluuElRUQ65wceX6QzY1QOKDs+rLvwj7q4iXg5R1QBmIj5uOPw9i3z5egIAcDBmTw7LNZNQml1QQJCR5s3uzH11+LTSEAX18nXbpkERDgZP78CDp10jNzZkJ+krnLBSNG1GHXLl8WLrxQRLrpdML27X4sWxbCsWMi+b1Hj0yefz6r1LYWvV5UEv36qz/Nm+cydWriTU/NbhYuF8yfH86SJaHcc08us2df+td5l/9tOHFCw+jRdUhNVTFiRGqR9GyXC775RvgVdToF3btn8cor6dXOgrVvnw+zZ4dz6pQnt91mZvToVO69t/SSaptNxh9/FEy80tJUyOUSd99tom1bAw6HnB9/DODCBTVhYXZ69szkmWd0FTYhPnNGzfDhdUhJ8WDs2BSeeCKblSuDWb48BKtVTteuOoYMSSc0tGLJk9MprpWFfe2nT2tISiqYtiuVLhwOOaGhdnr1yuTee3Np2NDi9vfCffu8eeutaLRaJQMHZjB4cMZ/auPRaJTz00/+fP11ECdPeqJWu+jc2UDXrlncc4/JbTdYbhYuF2RlKa5B4guIvNF49c64r6+zyPTd29tJZqaSCxc8OHNGg8MhJyCgqJ/cHciwVqtgzpwIvvsu8LrqwBoURVkJeiPgB2AfkCc9bwG0Bh6XJOn0jZ74BgT9e2CaJEl7Lj/eCoyVJOlgMZ87CBgEEBkZ2eLXX3+90VP/63DokBdvvVWLixfVdO+exahRqUWI+KFDXgwYUJ+OHQ3MmpVQ4S8Kh4MSdFKXLKzMZCpdQNmV0+kriXTepFqlkjhwQFRKuFzw5JPZ9O6dSWioAy8vp9v2gh8/7slHH4Wxd68vgYEO+vfX8txzmW5xEa5ByXHypIZp0yI5dMibRo0stGqVw8mTnhw+7IUkyQgKcpCVpSQ21sC8eZeQy2H+/DAWLw7jjTeSeeGFrGK/ryTBn396sWxZCLt2+eHp6aJr1yx6984sIqe/ESRJ9DW//76YSk2YIKZSVY1Nm/x5551ahIY6WLDgYk1SrBtCBHkKSXtIiIOZMxO4++7iJ4QGg5yFC8P4/PNgvL2dDBuWTvfuWW5fr3fypIbZsyP4/XcfatWyMXx4Gg89pC8XT31ejsX33wfw44/+ZGWJm1HeNKxfvwyaNy+7b/1G+PlnP956KxpvbyezZxdN2M/MVPDpp2F89VUQKpVE795a+vfXVvrGv9EoZ+PGQBYuDCM3V05EhJ3sbAVmsyA1crlEnTq2fHl8nr89MtLuVqTAYJAzfXok330XyC23mJkyJZGYmH/vNU2ShMx//fpAfv3VH4tFTpMmZrp10/Hoo9k1VXSFYDLJi5XUx8eruXBBTVaW4qpJPIBK5SoygS8sqy/oj3dUib3xzz+9mDIlijNnNLRta2T8+JRqUVVcVShzzZpMJlMDLwC3X37XCWCtJEkl0qqVF0EvjP/aBN1kkjF/fjhr1wYTFWXn3XeTaNWq+N37JUtCmDs3ggkTknn++aKLe0kS0pySVmfdqJ9apNbeGHkBZWWTfDuRySQmTKhNcrKKFSviueWWG9/YJAl++smfOXOEz/zBB4XPvDxDRyoCJ05o+OijcHbv9iUgwEG/flp69MiqsKC8GlQMsrIUzJ8fzoYNgQQEOHn11TS6dCloBsjIULJ1qx9btvhx4IA3kiTDx0dkCuzc6UfXrlm8805yiRaZZ86oWb48hB9/DECS4KGH9PTvr+WWW0ouJ05MVDFuXDRHjnjzyCPZTJyYXOW1Z8eOeTJ8eB1MJjnTpye6TfJ8DYpK2tu3NzB5clKJpuJnz6qZNi2S/ft9iIkxM25cCvfc434hWklJKj78MJwffgggIMDBSy8J5VJ5Lnb//lvDqlUh/PyzPy4X3HdfDvXrWzlzRsOhQ944HGIDLzZWBDzdd1/JfOs3gsMB8+aFs3x5KHffncsHHyQQFlb8hPzSJQ8+/DCMn38OIDDQwUsvpfPss7pKmQBbLDLmzg1nzZoQGja0MHVqIrfeasHlggpO+JAAAQAASURBVKQkj3xPe96/iYkF03YfH2eRFPmYGAuNG1ur/D66bZsv775bC4NBzssvp7uFtag8kZmpYNOmANavD+LCBTXe3k4efVRPt25Z3Habxa02TdwNDkeBn3z7dr989UjTpibatzdw111mNBpXsd3xeeTebC4+4C5POp9H3CMiCpN4O35+5R9w53DA558H89FHYdjtMgYM0DJwYEaNLbMYVFkPeo3E/ebw++/evP12LZKTPXjssWy6dcvC6bw+yd6714esLCWNGlmRJPLDysxmeakDygpI9dXT6etJvguT7PJY1KSlifo1uVxi7dr460rujh/3ZPr0SI4e9eLWW82MHZtCixbutwgsjL//1rBwYRg7dvjh719AzGuqK6oX7Hb44otgFi4Mw2yW8/zzooLkemQ3M1PB66/X5o8/fAAJkBERYaNTJwOdOxu4+25TiaZoqakqVq8O5quvAjGZFLRubaR/f22Jk98dDtHn+8knYYSF2ZkypeoTiFNTlQwfXpeTJzWMGCG88jWLvKpFnqQ9La1A0l6av4kkwZYtfsycGUFKigePPJLNqFGpRULWqgp6vUhmX7tWJLP37p3JgAEZ+PqWz3XY6YSdO31ZuTKEP//0xsvLSdeuOnr2zCwSUqrXy9mzRyzU83zrGk1eb7GB9u2NBAWVXvau04lrzf79Pjz3XCZjx6aWiGz/9Zcnc+aEc+CAD9HRNl55JY2HHy4fJUFxOHlSwxtviPq0nj0zGTky9YYL+9xcOWfOqK+Syed1ZMtkogLvSuJeq5a9UlsGsrIUTJ4cxebN/jRtauL99xOrdb2k0wm//+7D+vWBbN/ui8Mhp1mzXLp21fHgg/oa1d91kJsr1uvbt/uxa5cPBoMSDw+hoImNFRkVJbWXiIA7eRFJfWpqUTl9erqKrKziAu5cRUh8YV983v/LGnCXnq7kgw8i+PHHAGrVsjF+fDLt2uWU/hv9i+GuBP0xYBgFIXHzJUm690bfs7oQdL1eTmqq6pqS7yun04Xl3zk5cvR6ZYkJdV5Ambe3E41GIilJhVwuduX9/a/2Uhc/uS4+oMxd8M8/Gvr0qU/9+jaWLYu/6sKfmqpk/vxwNm0KJCTEzvDhot/VnSt+/vlHw8cfh7F9ux++vk769tXywguZ1S5DoAbCpzp9egTx8RpatzYydmwqDRqUTMaYlqbkscdisFrlPPRQNlarnH37fLDZhOcyLk6Q9RYtcm8oCzYY5Hz5ZRCrVweTmani1lvNDBiQQadOhhJJio8d82TcuGgSEjwYMEDLyy+nV6ln0myW8eab0fzyiz9PPKHj7beTq6zr+L+MwpL20FAhab/rrrKHXpnNMpYuDWXp0hAUChg0KJ0+fTKrRJJptYpk9sWLQ8nJEcnsL7+cVm6bBiaTnI0bA1izJpiEBDWRkTZeeCGTrl11NyT/drvwrW/bVuBbl8mEb71DB+FBLUl43IkTGkaOrENmppKJE5Pp0iW7VD+DJMHevT7MmRPO6dPCiz9yZGqJq9hKAqcTli8PYcGCMAIDnUyenETr1mVfzEuSUEMUJuxnzmi4eNEjvxPby8tJ48ZFK+AaN7ZUeN3qjz/6M2VKFHa7jJEjU3n++Sy3XqtciZQUFd98E8DGjYGkpHgQGOjgySez6dpVV+L73n8RGRnKy/3kfvz+uzd2uxx/f0d+w0Pr1jkVqvSw2WRFguwKeuMLiHxaWskC7q4k8dcLuDtwwJspUyKJj9fQoYOBsWNTSmXH+zejSgi6TCb7HIgFQoA04G1ABSBJ0ieXa9YWAA8jatb630jeDtWHoK9aFcyMGZHX/LhaXTSgLI8sm81yTpzQYDbLuesukf58Jcm+skpLoykaUHbkiCf9+zcgNtbA7NkV70evLOzc6curr9YhNtbI7Nmifs1slrF8eQjLloXidELfvloGDtS69fT51Ck1CxeGsXWrP76+Tnr31tKrV2a5TWpqUHlISPBg5swItm/3IzraxpgxKcTGljwYxWqVMWBAfU6fVnPbbRYOH/Zi2rRE2rUzsmuXL1u2iLRWi0VOYKCDuDgDnToZaNUq97rE2WqVsWlTACtWhHDhgproaBt9+2p56indDYOVTCY5M2ZEsH59ELfeambatIQKr2u5HiQJPv00lI8+CqdpUxNz516q8OCqGhSgsKQ9NlZI2ssruCwxUcWsWRFs3epP7dpWxo5NpX37yrEzuFwFyewpKR60bWtk5MjUcvMHp6aqWLs2iK+/DsJoVHDXXSZ699bSsWPJNsuuhCSJ6fL27aLCLa8lol490XUcFyf61q/cYP/22wDeey+KoCAHc+deuqlqxSt/Z61bGxkxIu2mE/qTklSMHy/q0zp31vPWW8kVFiZoMsk4d65AIp+XKF84sKtWLVsR0t6kiYXoaFu5kuj0dCVvv12LPXt8adUqh0mTkoiMdF/SYrfL2LHDl/XrA9m3zweA++/PoVs3HR06GP9T4XclhSTBuXNqtm/3Y/t2X44f9wLE+RUXJ6rQmjUzuVUeh8sl1DaFifuV4XZpadcOuLu6L178PzjYwa5dvixfHgzIePHFDPr10/7na4CrbIJeEaguBP3iRZFKemUntZeXIONXBpQZDHJmzYpk48ZA6te3MGlS0k1NKJYvD+aDDyKvGzZVHbFmTRDTpkXRp4+W224zM2dOBGlpKh56SPjM3XlX7swZQcw3b/bHx8dJ796Z9OqlrXK/bw1KD5NJzuLFoaxYEYxSKTFoUEapJ4CSBBMm1GLTpkDmzr1ImzY5DB5cj6NHvZg372K+FMxkkrF3ry+bN/uxa5cvubkKfH2ddOggJuv3359zzamy0wk7dviydGkox455ERgokt979Lhx8vvWrb68804tLBY5r7+eQvfuuird7Nu82Y8JE6Lx83Myf/5Fbrut+tZ2VRf89Zcnr71Wu8yS9pJi3z5vpk8XE5a2bY2MHZtSIbViBc9XNJl91KjUa2a7lBbHjnmyalUwmzf7A9Cpk4HevbU3dT8vDsnJqvxp3MGDBb71vHTnFi1y+fDDcL74Iph7781h5syEMknji4PVKuOLL4JYvDgUvV7JY49lM2xYWqlzXiQJvv9eBFVKEowfL9LkK/s6I0liQyVv0i687WouXlTnB9h6erpo3FhM2AtP22/m/i1JsGFDIDNmRCCXw5gxKTz9dOX//NfD+fMebNwYyLffBpKVpSQ83E6XLjq6dNFVefOHO8LhECF5O3YIUp7X4HLHHQWql0aNrG71Ny4LTCZZkXC7qyfxKrRa5VUB0EqlhFIpYbHI8fJycv/9OTRrZrqK0P9XiPtNEXSZTHYcYY4sDD1wEJgsSVJmuRxlCVFdCHppsGuXD+++WwutVkn//lqGDEm/aRmnJMGrr9Zhzx4fVq06zx13/Hs6OEePrs2vv4rFz223mRkzxr195ufOCWL+669+eHm5eOGFTPr00dakmVZDiAWlP3PnRpCeruLxx7MZOTL1mkFL18OyZSHMnh3Byy+nMXhwBiCSiwcOrM/582o+/fQCzZsXPa+tVhm//ebD5s1+bN/uh9GowMvLSfv2Rjp3NtC2rbHYCbkkiaaHZctC2LlTJL936aKjTx/tdTe10tOVvPlmLfbt86V9ewPvvptEcHDV1WT984+GV16pQ3a2ksmTE3noIUOVHcu/GZIEa9YE88EH4eUiaS8J7HZYuzaYTz4Jw2KR0adPJoMGZZSrGurkSQ1z5kTw228imf3VV8vHT+1wwLZtfqxcGcLRo174+jrp1i2Lnj2zKmUqajAI3/qOHb7s3u1LTo4CmUxCkmS0bm1k0qREwsLK/3VrMMhZujSU1auDcbngueeyGDQoo0T1iIWrHps1y+X99xPdLsjVYpFx7pyaU6c8OXNGnT9xNxgKRp5RUbZ8sp43ba9Tx1Yqq2Biooo334zm4EFvYmMNvP12cpV2g5vNMjZv9mf9+kAOHfJGqZSIjTXQtauO1q1z3NIGWZUwmYQtbft2X3bt8iU7W4lK5aJVq1w6dDAQG2ss0xqhusPhgMzMAsJeOLH+9Gk18fHqYlPqAQIDHcX64gtIfMUE3FU2bpagzwCcwNrL73oe8AJSgbaSJD1Rjsd6Q/ybCLper2D69Ag2bQqkUSMLkycn3pT8rLjv3717Q+RyWLfubLUnhKmpKubOFem6KpULp1PGggUXeeAB9wydiI9X88knofz8sz+enoKY9+2bWWG9tjWoWJw4oWHq1CiOHvXi9ttNvPFGyjWrpW6EXbt8GDasLp07X12LmJmpoF+/BmRmKlm69Pw1E9ntdhkHDnizebMf27b5odMp0WhcPPCAkU6dRJhUceTm7FmR/P7DD/5IkowHHxTJ79eSqbpc8PnnQcyeHYGPj4tJkxKrNOhFq1UwcmQdjhzxZvDgdIYMSa9W/k13h14v5623otm2za/cJe0lgVarZO7ccL79NpDQUDujRqXy2GP6m1qIJSfnJbP74+fn5KWXMnjuuZtPZjca5WzYEMjatcEkJ3sQHW2jVy8tTz+dXWU2q4MHPRkxoi45OUJpk52tRCaTuOsuMcGLjTWUu2UlLU3Jxx+H8c03gXh5uejfX0uvXtprelJ/+82biROjycpS8vLLadUq0VySxMZlXoJ8nrf9/Hk1Tqc4SdVqF40aWYiJsdKkiZmYGOFzv97ryOUSm2Lz5oWj0biYODGZhx+u3A3Iv//WsGFDID/8EEBOjoJ69ax07arjiSd0hITUrFsKQ6vN85P78vvvIjPGz89Bu3YizLFNmxy3tlq6A2w2YVFdtCgUgEceyaZpU3M+qS8sry8u4E6jcXFlzVx4uJ17782lcePqkYVwswT9kCRJzYt7n0wmOy5J0p3leKw3xL+FoG/d6sukSVHo9UoGDsxg0KCMCpF0HD3qSb9+DXjgASPz5l2qlrtNJpOM5ctDWbYsBJdL+Mx79MhiyJC6JCZ6sGpVvFu9GC9c8OCTT8L48Ud/NBoXPXtm0bevtkRThRq4HzIzRW3axo2BBAY6GTEilaeeKnsAYXy8mhdeaEDt2jZWrIgvduKdkqKid+8G2O0yVq6Mv2HSb15Ny6+/+rF1qx9arQoPDxetW+fQubOB9u0NV23QpaYqWbMmmK++CiI3V8H99+fQv38G991XfPL7mTNq3ngjmtOnPXnuuUxGj069oZ+9omCzyZg0KYpvvgmkc2c9kycn1iQGlwOOH/fk9deFpH3kyFR6964YSXtJcOyYJ1OnRvLXX140a5bLuHEppfY66/VyPvsslDVrgpHLoVcvkcx+s7aixEQVa9YEs3FjILm5Clq0yKV3by2xscYqI5qSBF9+GcS0aRFERDiYO/ciMTFWTp3S5Nc3nTxZ1LceG2vkrrtM5XbM586pmTs3nB07/AgNtTN0aDpPP63L99haraI+bfXqEOrXtzBtWuK/xqpitcqIj1dfIZPXoNMVEIuwMHsRX3tMjIW6da1FPMjx8R5MnBjN8eNePPJINuPHp1SYHx+ECuLHHwPYsCGQkyc9UatdPPignq5ddbRoYaqWa8aKgCSJe3fea+nYsQI/eYcOog6xWbPcq+yrNbgxkpJUzJgRybZtfjRoYGHChBTuvbeo5chmk5GRURBkV5wvPj1did0uZ/z4ZHr0qB7W3psl6EeBFyVJOnD5cUvgM0mS7pLJZIclSWpW7kd8HVR3gp6VpWDq1Eh+/jmAW24x8957STcdsHIjrFwZzMyZkbz+egp9+lSqI+GmIAJpCuTEDz+czciRafm+p9RUUb+mVIr6taqUhIHIHfj001B++CEAtVri+ecz6ddPW26+vxpULux2GWvXBl2W3Mrp2TOTwYPTbyrMT69X0KNHA3JzFaxbd46IiGtLOuPjPejXrwGeni5WrIgvcaq0ywVHjnixebPoWk9N9UCplGjVSpD1uDhDkc0ig0HOV1+J5HetViS/9++vpXNn/VXhNTabjHnzwlm5suoX2JIkrm2zZ0cQE2Nh/vxLbh2y5M6QJFi9OpjZs8MJCxOS9qZNq94W5XKJkLO5cyPQ6RQ884yOV15Ju+FmZ55HetGiUIxGBU8+mc2wYenXfb3dCJIkvKWrVgWzbZsfcjk89JCe3r215ap8KwusVhlTpkSxcWMgbdsamTYtoVjFXGqqiu3bhRT+wAFvHA45QUEO2rUTk/X7788pl42uQ4e8mD07gqNHvahf38Lw4WnUqmVn3Lhozp7V0KOHqE+rqg2+yoIkCYlvYcIupL2a/JYeDw8XDRta86vfmjSx0KCBhY0bg1i4MJSAACfvvptUrqqlPMvT+vWB/PqrP1arnFtuMdOtm45HH82uycW5DKdT3EvzQt4uXRJ+8ttvL/CTN25c/f3k7oJdu3yYOjWKxERRwfnaa6WzD0qSCLjz8JCqTRvSzRL0lsBSwAeQAQZgIPA38JgkSV+W7+FeH9WVoEsS/PKLH1OnRmEwyBk8OIMBAzIqZbdNkmDEiDqXExTjK9xLWB44csSTGTMiOX5cyInHjEm9yo8LQnbcv38DGja0sHTp+Sq54SckePDJJ6GXpfcSzz2XRf/+GVXq1a3BzWHPHh+mT4/kwgU1bdqI0Kr69W9OFupwwODB9Th0yIulS8+XSB5/4oSGgQPrEx5uZ/ny86VWYUiSCPravNmPzZv9SUz0QKGQuOeeXDp1MtCxoyE/Ed1mk/H99wEsWyaS32vVstGnj5YuXa5Ofi+QqCoYNiydfv2qTqK6e7cPY8bUxsNDYt68i2W2HfxXodfLefPNaLZv96NDBwOTJiW6nR3KYJCzcGEYn38ejLe3k2HD0unePeuqDaS8Td0FC8JJThbJ7CNGpNKkSdkVVnY7bN7sz6pVwfz1lxd+fg6efVbH889nEh5e9b7SlBQVI0fW5sQJLwYNSmfo0PQSvRaNxoIe5t27fTEaFajVooe5Qwcj7dsbbkrWLEmwbZsvc+dGcOGCGpDw93cybVoibdu6py2tsmC3y4iP9+D0aU9On1bnE/jMzIIFYWionagoG5cuqdHplHTsqOftt5MIDCz7a1OrVbBpUyAbNgRy4YIab28njz0m6tGqepPJXWAyiZyXbdv88v3kSmWen1y8LsqrgrEGV8NiERWcS5aEoFJJDB2aTo8emf9aZUK5pLjLZDJ/AEmS9OV4bKVGdSToWq2SyZMj2brVn9tvNzFpUlKlS7L1ejnPPdcIlwu++uqc2/qgU1NVzJ4dzk8/BRAaKvrMn3ji+nLibdt8GTGiDh07Gvjgg4RK86MmJKhYtCiMTZsCUColnn02iwEDtFU+ya9B2XHxoqhN27nTjzp1rIwZk0q7diWvTbsepk6NZO3aYN57L7FUPcR//OHN4MF1iYmx8NlnF8rsa5MkOHVKw6+/CrJ+4YIamUyiWTMTnTqJRPiICDsuF2zf7suyZaEcPepFQICDHj2y6NEjs8gGgV6v4N13o9i82Z977hEhT1U1wY6PVzNsWB1SU1W8/XYyTz2VXSXHUd1w7JiQtKenKxk9Oo0XXqg6SXtJcPasmmnTItm/34eYGDNvvJFCy5Zi4/a337yZMyeCkyc9ufVWkcx+Mz3der2c9euDWLs2mLQ0FfXqWenVK5MnntC5jZ3iwAFvXnutNjabjClTEunYsWwVdXa7sMjkyXeTkz2QySSaNhVVr3FxRurXL/2kMCVFxbhx0fz5pzceHi5sNjmxsQZGjEijYUP3saW5C7RaBWfOaIp0t589WzhIS6J2bRt3323Kn7jHxFiuu5HidIrWgg0bAtmxww+HQ0azZrl07arjwQf1bnMuVyW0WgU7d/rl+8mtVjm+vk7atTPm+8mry0T234KEBA+mTo1k925fGje2MGFCsluHQZcVNztB90d0mLe7/K6dwHtVRdSrE0HPS3yePj0Ss1nO0KHp9O2rrbLOw7/+8qR37/q0aZPD/PmX3CpYyWSSsWxZKMuXhyBJ0KePlv/9T4uXV8kuinky/v79Mxg1Kq1CjzUpScXixaF8+20gcrlE9+5ZDByorelmrsbIzZXz6aehrFoVjIeHxEsvZdCrV+lq066Hr78O5N13a9Gnj5bXX08t9ddv3+7LyJF1uOeeXD766GK5tDycO6fOn6yfOaMB4M47TXTubKBTJz21a9s5fNiLpUtD2LHDD42mIPk9L21ZkoQEeerUSBQKePPNZB55pGr2cPV6BaNH12b/fh/69ctgxIi0ahM8VdmQJFi1Kpg5cyIID7czc2YCd95ZPZQHkgRbtvgxc2YEKSketGljwGqVc/CgD1FRIpn9kUfKnsx+8aIHq1cH8+23AZjNClq1yqF370weeMDoNvfMPHvHnDkR1KljZe7cS+UW/CZJcPp0gW/977+Fb71OHWt+yFyzZjf2rf/wgz9TpkThdMK4cSl07qxnzZoQli4NwWyW8/TTOoYOTXcLFYI7w26HCxfUbNnix+rVwRgMSjw9nZjNBX+AoCBHEV97TIwFT08X338fwMaNgaSlqQgMdPDkk2Ja3qDBf3tzRJLg/Hk127b5smOHH8eOeSJJMqKiCvzkzZvX+MmrGnkqnOnTI0lJ8eDJJ3WMHJn6rwosvFmCvh74C1hx+V29gbskSeparkdZQlQXgp6WpmTSpCh27vSjaVMTkyYllntyalmQ1yM+enQK/fpVvR9dSBIDmDs3nPR0FY88ks2IEWml7teUJJgyJZJ164J5++0knnlGV+7HmpKiYtGiUL75JhCZTOKZZ3QMHJhRs8CoxnC5RA/v3LnhZGSoePJJHSNGpJXrZsvBg168+GJ9WrXKYcGCi2XeoNu0KYDx46OJizPwwQeXynWj7+JFj3zP+okTIvzmllvM+WQdRNrqpk3+uFwyHnpIT79+2nz/eUKCB+PGRXP0qBePPZbNhAnJN+XVLyvsdpgxI5IvvgjmgQeMzJiRUDP5uAJ6vYKJE2uxY4cfcXEG3nvP/STtJcH58x689lptTp8Wm0tt2+YwY0ZCmc47SYKDB71ZuTKYnTt9USolHnlET58+mTRp4l7SX5NJxjvv1OKnnwLo1EnP5MlJFZoWnZqqzJ8u7t8vfOsBAY7L00UjrVvnFNlI1+vlTJkSxU8/BdCsWS5TpiRSu3bB/VynU7BoUShffBGEUlkQ3FcV14vqBrNZZICsWRNC7dpWevfOxOGQFUqTV2O3F0zbAUJCHLRqlcPDD+u57TYLoaEOt1bJVBScTjh61Ct/4+niReEnv+0282VSbiAmpsZP7o4wmWR89pkIivb0lBg2LI3nnsv6V2zA3yxBPyJJ0t03el9loboQ9OXLg/noo3BeeUXIBt3lRJIk0SO+bZsfy5fHV6lf88gRT6ZPFym9d9whfObNmpVdwuJwwLBhdfn9dx8+/vgCrVuXXd5YGKmpKhYvDmHDhkBkMujaVcf//pdR40Oq5vjrL5ESfeyYOP/GjUsp92CspCQVPXo0xN/fyZo15246fCdvg+2pp3S8915ShUz0kpJUbNkiJutHjwqy3qiRhU6dDDRvnsu+fT58/XUQOTkK7rtPJL/ff38uTicsXhzKp5+GER5u5/33E6tMkrZuXRBTp0ZSt66VBQsuUbt21W+OugOOHhWS9owMJa+9lkrPnlnVbkFqMBQkswM89ZSO9HQlO3f6Ex1tY+zYFNq3L5ktxW6X8dNPwl/+zz+eBAY6ePbZLJ5/PsstrUoJCR4MH16Hs2fVvPpqGgMHaiv175eTU+Bb37VL+NY9PIRvPTbWiJ+fk5kzI8nMVDJ0aDoDBmRcc+2TmCiq7378MQB/fweDBmXw/PM3X333X8D+/d68+WYt0tJUDBig5eGH9WzaFMC33waQna3E399BgwZWVCoXly6pSU31yP/awEBHEXl8TIyFhg2tN63KckeYzcJPnne+ZmUJP/m99+bmq0Fq1nHVB+fPe/D++1H8/rsPt95qZsKE5GqRqXU93CxB/w14XZKkPZcftwFmSZJ0f7kfaQlQXQi6wyEmroV3jt0FRqOcZ59thN0u46uvzlZ6/VdKioo5c4TPPCzMzogRaTz2WNlrqwojJ0dOnz4NSElRsWpVPI0alV3KlZam5LPPQlm/PhBJEsT8xRe1N5UEXIOqh1arZN68cL75JpDgYDsjR94456AsMJnk9O5dn5QUD9auPUe9euVDEhcuDOXjj8Pp3VvI5StygZ6WpmTrVkHWDx3ywuWSUbeulXbtjDid8Ouv/mi1Km65RSS/P/ignhMnPBk3LpqkJA8GDsxgyJD0KpEKHjjgzahRtQGYPTvhqtqW/xLyJNFz5wpJ+6xZCdxxR/Va2NhsMj7/PIjFi0MxGBQ88YRIZs/LPdi3z5vp0yOJj9fcMNhRp1Pw1VdBfP55EFqtioYNLfTuncljj2Wj0bgnUdm924exY2sjk0nMmJFImzZVG7Rmt8PhwwW+9aQkQQI9PIQV5vnns2jY8MYTyZMnNcyZE8FvvwmLwrBhaTz2WNktCv8VpKcreP31Ohw65A2AQiHRoYOBbt103H9/TpGNEb1ekR9GlxdId+6cBotFnv+19epZryLu4eHVb9qemVngJ//ttwI/edu2RuLihJ+8Rq1RfSFJ8OuvfsyYEUl6uoquXbMYMeLGzR7uipsl6HcBKwH/y+/SAX0lSTpWrkdZQlQXgu7u+PtvDb16NaBVK+FprYybockkZ+nSEJYvDwGgXz8tAwaU3GdeUqSkqOjZswEeHhJr1pwrtV8lPV3JkiWhfPVVIJIk4+mndbz4YkapZfc1cC/Y7TLWrBG1aVarjN69Mxk0KKNCJNAuF4waVZvt2/1YuPAirVuXb0XOtGkicO6VV9IYNCij3L739aDVKti2zY8tW/w5cMAbp1N49urVs3L+vAcpKQXJ7w8+qGf+/Ag2bgzk9ttNTJuWWG4bFKVBQoIHw4bV4dIlNW+8kcJzz1WPbtTyRGFJe6dOet59N6la1Si5XPDTT/58+GE4SUketG5tZOTING655Wrpud0On38ezMKFYVgs4jX+0ksZ+RLw+Hg1q1YFs2lTAFarnDZtjPTunUnr1jluS0RcLvjss1AWLAgjJsbCnDmX3Grj//RpNWPH1ubsWQ133mnC6YS//xbKm9q1rcTGiqCtZs1M17Xl7Nvnzdy5IuSvSRMzI0emufXfpSogSWLttn59ED/+6E9uroKwMDu5uXKsVjlDhgjVQknsT04nXLrkUSSQ7vRpDcnJBdN2Pz8HMTFWmjQxExNjvTxtt7hdPd758x75VWhHj3ohSTIiI235VWgtWtT4yf9tyM2V88knoaxeHYKXl5Phw9Po1k3nNmrlkqK8Utz9ACRJMshkshGSJM0tv0MsOWoIevnhiy+CmDIliuHDU/nf/7QV9jx5Pt958wp85iNHplVo4vOJExr69WtATIyFJUvOl2gqotUqWbIkhK++CsLhkPHUU4KY5wVi1aD6YvduH2bMELVpDzxgZMyYlAoljAsWhPHpp2GMGZNC797ln/XgcsGECdF8/30AEycmVzrxzM5WsH27L5s3+/Pbb8KX6u/vwMNDIiNDhb+/g549s4iKsjFrVgQ2m5zXX0/hmWd0lb7gzsmRM2ZMbXbv9uW55zIZOzblP7NYq+6S9t9/92b2bEHabrnFzMiRqSWyLmm1CubNi8hXyTz5ZDZnzmjYs8cXtdrF449n06tX5k0prCoDOTlyxo8XFXiPPprNO+8kuQ05crlE0OC8eeH4+zt5770kHnhAbESmpSnZuVNM1vfv98ZuF9eHwr714nzzV27GtGqVw8iRqf/5CjC9Xs6PPwawYUMg//zjiUbj4sEH9XTtqqN5cxN6vYLJk6P45Rd/7rzTxOTJZc88MhrlnDlTuLddeNvzQunkcok6dWxFJu1NmliIjLRX2rXF6YRjxwr85KLGD2691Zwf8takiaVaXetqUDacPatmypQoDh705o47TEycmFytrhflQtCLfJFMdkmSpDo3fWRlQA1BLz9IEowZE83mzf4sWXK+Qvyihw97MX16BCdOeHHnnSbGjEmpNN/71q0i+bpTJwOzZl27fk2rVbB0aShffimI+RNPZDNoULpbTSlqUDZcvOjBjBkR7NrlR926VsaMSaFdu4qVhv78sx+vv16HLl10vPtuUoUtEux2GDWqDjt3+jJtWiKPPlo16elGo5ydOwVZ37tXSApVKhd2u/j34Yf1JCZ6cPiwN7GxBt59N4mgoMqVozmdMHduOMuXh9KqVQ4ffJDgtlWT5YErJe0ffHCpWi1aTp1SM2dOBHv3+hIVZeOVV9J49NHSyZ6tVhmLFoWyYkUIVqscpdJF1646Xn45vdLPv7IgPl7N8OF1SEjwYPToVHr1cp8KvNRUFRMm1OLAAR/i4gy8807SNSWmubly9u3zYft2X3bt8kWvV6JS5fVKG4iNNRIWVtQHbLPJ+PLLID79NJTsbCWPPJLNK6+k/afuySK40IsNG4LYvNkPq1XOrbea6dpVx6OPZhergvn5Zz8mT47CYpEzYkQaPXtmlos60uWCxMTC03Y1p055kphYMG339XXSuHFR0t6okaXcatzMZhm//y785Dt35vnJJVq2LDiPqqrmswZVC0mCH3/0Z9asCDIzlYwbl0KPHtVDLVcRBD1BkqTaN31kZUANQS9f5OTIef75hpjNcr788izBweWzcElOFj7zn3/O85mnVomvbPnyYD74IJKBA0XtUmFkZipYvjyEL74IxmaT8fjj2bz0UgZ16tQESlV35OTIWbRI1Kap1QW1aSpVxU6f/v5bQ9++Dbj1VjOffXahwgOPLBYZQ4bU48gRL+bNu1jhmw83gskkZ/duHzZv9mfnTt/LHkfxO4iOtpGSoiIgwMmkSQXTtsrEt98G8O67UURE2Fmw4NK/sm4oO1tI2nfurH6S9tRUFQsWhPHddwH4+jrzg8NKE2Cl1Sr48stg1q0LIitLSUyMmdtvN7Njhx/Z2Qq6ddPx6qvu7VncutWX8eOj0WgkZs1KoGVL98lP+OknfyZNEvVpb7yRwtNPZ5d448DhEJv2Qo7sl0/w7rjDlC9HbtSowLduNMpZvjyEVatCsNvhueeyGDQoo1pssJQVWq2Sb78V9WgXL6rx8XHy2GOiHi2vNeN6yMhQ8s47Ueza5UfLljlMmpRErVoVQ1xzc+WcOaO+Siafmyum7TKZ6G1v0sRShLzXqmUv0VowM1PBrl1iSv7bbz5YLHJ8fJw88IBQYrRta6zxk9cgH0ajnI8/DqN79yy3aM0qCWom6DW4Lv75R8MLLzTgnntyWbjw5vzoJpOcJUtCWLEiBJkM+vfX0q9fRrntopYWkgTvvRfF118H8d57iXTpko1Op2DZMkHMrVYZjz6q56WX0qvEI1uD8oXLJerI5s4NR6tV8fTTOoYPT6uURGatVsnzzzdEJpP4/PPSZx+UFTk5cgYMqE98vJpPP71QZcnpV8JikbFvnw+bNgWwc6dvfv2PQuHC6ZTzzDOZjB2bWumhXEeOeDJ8eF1sNhkzZiRUyUZBReHIESFpz8wUkvYePaqHpN1gkLNkiUhmlyR44YVMBg7MKFX92+nTalavDuH77/2x2+W0b2+gd+9M7r03F5lMLN4WLgxj7dpgvLxcDBuWxrPPZpVrXeHNwumEjz4KY/HiMO6808Ts2ZfcJmXaYBD1aT/+GMBdd5mYOjXxptoRJAnOnVPne4ePHxe+9Vq1inZRK5WCdC5cGMaGDYFoNC7699fSu7e2ytYV5Q2nE/bu9WHDhkB27vTD4ZDRvHku3brp6NxZX2pbgyTBN98EMH165GWlZCpdu1aOvcjlEgOaPIl8nlw+IcEDSRIH4O1dMG3P625v3NiKt7eLCxcK/ORHjgg/eUSELT/LoGVLU4VvtNegBpWFMhF0mUxmJG/0ccWHAE9JkqrktlZD0CsGX34ZyKRJtcocOpVHjObNE33Sjz4qfObukHhut8PLL9fjwAFvHnxQz44dYrL3yCOCmFeXnbYaXB/HjnkybVokx4970bSpiTfeSOHOOyvHTmGzyRgwoD6nT2tYuTK+2ACrikRWloK+fRug1SpZtux8pT//jWCzydi+3Zdly0L4+2/P/IWaWu1k8OAMevbMKvewyOshJUXFq6/W4fRpDaNGpdKnj/vIh8sClwtWrAhh/vxwIiLszJpVPSTtNpuML74IYtEikcz++OMimb2kgZwuF+zZ48OqVSH8/rsPGo2Lp57S8cILmddMcD93Ts3UqZHs3+9D48YWxo1LcYsJtV6vYOzYaPbu9aVbtyzGjUtxm+qrAwe8mTChFhkZKgYPTud//ytZEFlpIKryCnzrNpscPz8H7drl0KGDSN9OS1Myf344W7f6ExJiZ8iQdLp00VXbTImkJBUbNwaycWMg6ekqgoIcPPWUji5ddNc8f0v7/d96S1gRHnjAyDvvJF1lJ6gsmExyzp5V56fI55F3o7Eg1UupdOFwiI3cqCgr7dvn8NRTQjlQna/PNajBtVDuE/SqRA1BrxhIEowdG80vv/jz2WcXSrVgKewzb9pU+MzdqZtQr1eweHEIK1eGIEnwwANGXnst7V8pb/0vIiNDydy54Xz3XSAhIaI27fHHy7827VqQJHjzzVp8+20gH3xwiQcfNFTOE1+B1FQVvXvXx2aTs3JlPHXruufGU26ujIULw/jqqyBMpoLgobZtjTz8sJ7Y2MqRLZpMMiZOFBkcTz2l4623kqtlB3N2toIJE2qxa5cfnTsLSbu7yz5dLvj5Z3/mzxdhYPffn8OoUakl3lgym2Vs2hTA6tXBnD+vISzMTo8emXTvritRtoAkwdatfsycGUFysgcPPaTntddSq2xD+dQpDSNG1CE1Vcn48Sl0766rkuO4EjabjA8/DGPFihDq1rUxdWpipdTzmUyib33HDl927izwrd97by5xcQZCQ+0sXx7KoUPe1KtnZfjwNDp2NFQLEmezydi2zZcNG4L4/XdRkdamTQ7duulo395Y7tNhlws+/zyIuXMj8PBwMXFiCg8/rK/S35XFIvzk27b5sn27L9nZKuRyiYAAUeum0ylxucQBenq6aNxYSOTzpu0xMRa3v8bVoAYlQQ1Br0GJkJsr/Og5OXK++ursDSW6SUkq5syJ4Jdf/AkLszNyZGqpg3wqEnq9nFWrQli9OpjcXAXt2hk4dswLb28Xa9acKze/fQ2qBjabjNWrg/n001Ds9oLatOLSgSsSK1YEM2tWJEOHpjFkSOVUnl0L58970K9fAzQaFytWxLuNPLY4uFzwww/+vP9+JDk5SoRgS4ZSKXH//Tl07qynQwcjAQEV9zp1uWDhwjA++SSMu+/OZc6cS5VmTSgPHDniyWuv1SErS8Hrr6fy/PPuL2k/cMCbDz6I4O+/RZ3WqFFpJa4hTE9X8sUXQXz5ZRB6vZLbbjPTu7eWhx4ylInYWCwyli0LYcmSUORy+N//MujbV1upk+sff/Tn7bdr4efnZPbsS26zuX3mjJo33ojm9GlPnn02k9GjU6tEUu5wwJEjXvmy54QEkdh9220m6te3cvSoF4mJapo2NTFqVKrbWHyuxLlzatavD2TTpgCys5VERtro0kXH009nV0q42YULHkyYEM2xY148+KCeiROTKzWHISurqJ/cbBZ+8rZtC/zkeVkZZrOM+Piive2nTmkwGApkG1FRtqt62+vUsVW7mq0a/LdRQ9BrUGKcOqXmhRcacvfdJj799EKxFzuTSc5nnwmfuVwOAwaIRY27+MEMBjmrVwtibjQq6NxZz5Ah6TRubOX4cU8GDKhPkyaifs1dJIQ1KB127fJh+vRILl1S0769gTFjUqsk3G/3bh+GDatLx47XbwqoTPz9t4aBA+sTFmZn+fLzbh2GBWKaOX9+GEuWhCJJMmQyCU9PFyaTAoVCpPR27qwnLs5QYeT555/9ePPNaAICHHz44SW3swhcCZcLli8XkvbISJHSXpIAqarEmTMimX33bl8iImy8+mo6jz1WMqXLyZMaVq0K5qef/HE6ZcTFCX958+amctmQSE5WMWtWBJs3+xMdbWPMmBRiY40VutnhcMDs2RGsWhVC8+a5fPBBQqVkZdwILhesWRPM3Lnh+Pi4mDQpscrDJ/MgSSLdPq9e69gx4VsPCHBgs8kwmRQ88ICBkSPTaNy46hVyJpOMX37xZ8OGQI4c8UapdNGhg5Fu3XTcd19OpZNJh0NcNz76KAx/fyfvvJNMbKyxwp7v4kWP/L/VkSNeuFwywsPtxMYaiIsz0rJlbok31iRJ1PddGUh34YIap1O8UDUaF40aWa4g7tZ/dWNHDao3agh6DUqFDRsCefvtWldNBF0u+O474TPXalU89lg2I0akus2UzmiUs3p1MKtWhWA0KujUSc/gwek0aVL0Rr15sx+jRtXh4YezmT490S1IVQ1KhvPnPZgxI5I9e3ypV8/K2LEptG1bNYvH+HgPXnihIdHRNlasiHebDSqAP/7wYsiQejRqZGHJkguVriooCy5d8mDkyNqcPu2JTCZ+l/XqWTGb5aSmeiCTSTRvbqJzZz2dOhkIDy/f686JExpefbUuRqOCqVMT6Nix4hauNwOdTsGECdHs3u3Lgw/qeecd95a0p6Yq+eijcL79NgAfHxcvvphBz56ZN9wcdblg505fVq4M4eBBb7y8nHTpouOFF7JuKpzsevjtN2+mTYskPl5DmzZGxo5NKRcv8JXIzFTw+uu1+eMPH3r2zOS111Lcwkedmqpk4sRo9u/3ITZW1Ke5s9JMq1WyY4eQSf/2m8/lIEpxXrVsmcuECck0bFi5G7eSBCdOeLJ+fSA//eRPbq6C+vUtdOum4/HHs93i93nqlJoJE6I5dcqTp57SMXZsSrlcQ1wuOH7cM1/tEB+vAaBJE3N+Sv+tt5avn9xqlXHuXNEk+VOnNGRnF0zbw8PtNGliJibGmk/c69a1ulVAZA3+m6gh6DUoFSQJxo+P5ocf/Fm8+AKtWuXy559eTJ8eycmTnm7nM8/NlbNmTTArVgRjMCiJizMwZEj6dadgS5eGMGdOBC++mM6rr6ZX4tHWoCwwGuV8+mkYa9YEo9G4GDw4nZ49s6oszVWvl/PCCw0xGhV88cU5t+xf3bnTl+HD69CiRS4ff3yxWqhF7HZYvDiMTz4JxdvbhdMpw2yWc8cdJurUsXHqlIZz58Sir2lTEw8+KMh6edUIZWQoGTGiDseOefHyy2m89FKGW0nGDx/24vXXa5OVpWDMmFSee859Je1Go5ylS0XVocsFPXtm8eKLGTecZplMcr75JoA1a4K5dElNZKSNF17IpEsXXaXUxdnt8MUXwXz8cRgWS4F1xsenfJ77+HFPRo6sQ3a2grffTuaJJ7LL5fveLH7+2Y9Jk6Kw22WMHVt5qd/lBZNJxm+/+fDLL/5s2yZ6w0GiVi0bzz2XxSOP6Ct0mKDXy/nhhwA2bAjk1ClPNBoXDz2kp1s3HXffXT5Kj/KE3S5j4cJQliwJJSzMzqRJSdx3X+nDEi0WGfv3i577HTt8ycxUoVBI3HNPQT95RdW8XQuSJDZvCgfSnTolpu0Oh/hDeHi4aNjQWqS3PSbG4vaKsxr8u1BD0GtQaphMcp5/vgHZ2UqaNjWxc6cf4eHCZ/7II+7hM8/NlfP550EsXx6CXq8kNlYQ85JIPSUJ3n03ivXrg5g0KZGnn86u+AOuQanhconu6rlzI9DpFHTpouOVV9Kq1CfscMDQofX44w8vli69QLNm7ul5BPj+e3/GjatNhw4GZs++VG0mBkeOeDJuXG2SklTce28O8fEaMjJUxMSYeeyxbKxWOdu3+3HypCcAt91mzp+s32xdotUq4513avH99wE8/HA2772XVOqao/KGywXLloXw4YfhREXZmDUrwW0l7Xa7jHXrgvj001Cys5U89lg2r7ySdsNFemqqirVrg/j66yCMRgVNm5ro3VtLp06GKjlvtVoF8+dHsHGjCJ8cNSqtxJL8a2HDhkAmT44kNNTBnDnuYUswGuW8/34U338fQNOmJt5/P9FtAyZLCqcTtmzxY+HCMM6dUyPKh+CWW8zExQl5dUzMzU9yJQkOHvRi/fogNm/2w2aTc9ttZrp1ExsC7qxsycOxY55MmBDNhQtqnn8+k5Ejb5w1oNPl+cl92bfPF7NZjre3k7Ztc4iNNfDAA8ZSVSRWFmw2GefP503b1Zw65cnp02oyMwvkK6Gh9iIS+SZNLNSrZ3ULhUsN/n2oIeg1KDVyc+XMmBHBhg2ByOUwaFA6AwZoq3yhCmKn/Isvglm2LITsbCXt2hkYOjS91LVCdrsgWgcPerFo0UW3qNqpQQGOHhW1aX/95cVdd5kYNy7ZLaqjpk+PYPXqEN57L5EuXbKr+nBuiLVrg5g6NYqnntLx3ntJbrG5VhLk5sqZNi2Sb74J5PbbTXTubOC77wKIj9cQGWmjT59MWrXKYc8eX7ZsKfCjNm5soXNnPZ07G2jY0FqmRbgkCZXNvHnh3HqrhfnzL5a7pL6k0OkUjB8fzZ49vjz0kJC0l9c0tzzhcsGvv/oxb14EiYketGolktlvREKPH/dk1apgfv3VH0mCjh0N9Omj5e673UOhdfy4J1OnivrGsl6HbDYZ06ZF8tVXQdx3Xw4zZyZUaPhhSXHwoBfjx0eTnq7ipZfSefHF8q9Pq2r884+GadMi+fNPb1QqF3a7DJARFVXQrd2iRW6pCJhWq+Tbb8W0/NIlNb6+Th59NJtu3XTcemvV36NKC7NZxvz54axeHUKdOlamTEm86vWXkOBxOXXdj8OHhZ88LMye31nfsmVutWzBALEZd+ZMUW/7uXPqy5YJUKmKTtvz3tzBrlCD6o0agl6DEiNvYjl/vvCZ3313LkeOePPSS+kMG1a1UnCTScaXXwaxbFkoWVlK2rY1MnRo+k11XRsMcvr0aUBGhpLVq+MrxG9Yg9IhPV3Upm3aFJjfDvDYY1VbC5OHjRsDeOutaHr10jJ2bGpVH06J8cknoXz0UTi9emkZMybVLX6XJcWvv/rx7rtCevv666mEhjpYtiyEQ4e88fNz8PzzWfTsmYndLmfLFj82bxYLSEmSUb++hU6dDDz4oIEmTUo/Mduxw5exY6Px9nYxb96lm7rWlAWHDglJe3a2grFjRf2WO/7t/vjDmw8+COfECS8aN7YwenQqrVvnXPNYHQ7Yts2PVauCOXLEGx8fJ1276ujZM7PS5bAlwZVKnq5ddbz6ahpBQTdeoKelKRk1StgmBgzI4NVX06o8adpmk7FgQRjLl4dQu7aoT2va1D02RCoKBw54M3u2OEfDw+2Ehdk5dUqDzSbH11ekicfFib714ibfDgfs2+fD+vVB7Nzpi9Mp4557cunaNYvOnQ1oNNVrLV0c/vjDm4kTa5GaqqJPHy0dOhjYs0eQ8rNnhbWocWMLHToYiIsz/Kv7ye12uHBBnS+Rz3vLyCjYyQkOthMTYy3ib2/QwFpl1rsaVD/UEPQalAgHD3oxY4bwmd91l4mxY1O4804zEyfW4rvvAvjkkwu0bl35U2azWRDzpUsFMW/dWhDz8vLAJyaqeOGFhnh7O1mzJr7Gg1RFsNlkrFwZzKJFoTgcMvr2zeTFFzPw8nKPaeGhQ14MHFiPli1NfPzxhWo1aZIkmDFDTP6HDRPe6uqEtDQlEyaI8Kq4OBFedfGiB8uXh7Btmx8eHhJPPaWjb99M6tSxkZGhZNs2Qdb/+OP/7J13eFNlG8Z/mZ1pm+7FBhVUVFBBhpTlBhQQkY0oKihToEyVjeyhDNnTBYj6OdhbEEREEVkFukfaNEmTNM043x/HtpQOSukm93VxFZo0nGac897vcw8PHA4J4eFZOZP1hx4yF3thefmyC++/X4uUFDlTp8bx4ou6sv1lEQnh2rX+LFsWRFiYKGmvjJO5y5ddWLQoiMOHRQvU++8n8dJL6YUS0IwMKTt2qNm61Y+4OCVhYVn06SP6y6tCkKHBIGX58kC2bfPDzc3B0KFJvPZaWqHngjNn3Bk1qgYmk5Tp0+N45hl9+R5wAbhyRaxPu3jRje7d0xgzJrHSnGPLGoIAv/zixZIlQcTEuNC0qZE2bfRERbly+LCKtDQ5crmDJ54w5UyGbTbYuVPNt9+qSU5W4Otro0sXLV27au/aTlPZkJUl4dAhT5YuDeLaNZGQS6UCTZsac0LewsMr3wZaeSItLXfank3er151IStLnLbL5QJ16uT3tvv726rtZoYTJYeToDtRJGJjFSxYIFbMBAdnMWpUEs89lzuxNJkk9OpVD61WztdfXyEwsHyknpmZEr7+2pc1a/xJTVXQvHkGQ4cmlYn08c8/3Rg0qA6NGpn5/PPrVSJQq7pAEMRJ5dy5wcTEuNC2rZ4xYxLLLKm5JEhIUNCzZz1UKjtbtlytlP6628HhgMmTw/juOzUTJsTz+utpFX1IdwSHAzZt8mPx4iC8ve1Mnx5Hy5YZXLumZMMGf777zgebTUKHDnreeEPDQw+J54m0NBkHDohk/eRJT2w2CcHBWXTooKdjRz2PPmq6rexfq5UxcmRNfv/dgzffTOH995PKzCqQliZK2o8dq7yS9qSk3GR2Dw8Hgwal0Lt3aqFTxNhYBVu2+LFzpxqjUUaTJkb69dMQEWGo8GlySXD1qguzZ4dw4oQn9etnMn58Ak8+mbt5LQiitWTevBDCwrJYtCia+vUrtvbL4YCtW/1YuFCsT/voozjatq2cTQVlDatVwjffqFmxIpC0NDnPPKNj6NAkdDo5Bw6o2L/fixs3XHLuL5EIPPqoiX79NLRpY6hWfmSdLtdPfuyYJyaTDDc3O/ffn8nVq66YTFLeeSeZQYNSqtXvXZqw2eDGDZcc0n75suhvT0rKfcLUals+iXy9ehbnWrMMIAhUmc0QJ0F3okAYjVI+/zyAjRv9kMth4MAUBgwo2GceFeVCz571aNTIzOrV18p0emixiBfPNWsCSElR0KxZBkOGJNOkSdmGcf3yixcffFCTF15IZ/bs2CrzAa/KiIpyYc6cYI4fV1G3bibjxiVUiEqjKJhMEvr1q0tcnJItW65St27l2Ti4U9hsMHJkTQ4e9GLWrBheeqnsp8GljYsXXYmMDOfKFVd699YwYkQSrq4CKSlytm7148svxZCxJ57I4I03NLRsmSu11umkHDokkvXjxz3JypLi72+lfXuRrDdtaiz03Ga1SpgxI4Tt232JiNAze3ZsqU99f//dnbFjK6+k3WCQsm6dP5s2+WOzweuvpzF4cEqBfmpBgLNn3dm0yY99+7yQSuGZZ3T066epFFkSdwtBgP37VcydG0JcnJJnntHxwQeJqNU2pk4N5fvv1bRpo2fmzNhySZ8vCklJciZPDufXXz15+mk9H38cV6FBm5UFRqOU9ev92bDBD6tVSocOOjw97ezd6016uhwvLzvu7nYSExWAhJAQ0bceEaHniSdMVVbKHBuryKlCO3PGA7tdQkCANceT/+STRlxcBHQ6GTNmhPDTTz48+KCJGTPiqFev4vvlqwp0OhmXLuWtgLtyxZXMTHF3VyYTqF07v7c9KOjenrYLApjNUvR6KXq9DL1ehsGQ96teL73p77Kb7idl1KgkevasGgMIJ0F3Ig/sdti1S82SJYGkpiro3Fn0090uBOn7732YMCG8zKrJLBYJ27eLxDw5WcETT2Tw7rvJPPFE+aVkr17tz+LFwbzzTjJDhzrr18oKer2UFStypaJDhiTz2muplW6H3uGADz6owb59Xnz66Y0K61wvTVgsEoYMqcXvv3uweHE0bdpUvSlaZqaERYuC2LLFn/r1M5k9O4b77xcXjkajlG++UbNxoz/JyQoaNMhk4MAUnntOl+f9ZTRKOXxYxZ49Xhw9KiYRq9U22rYVyXqzZsZ8C/DsyejcuSHUqWNh6dIbpSL5vFnSHh4uStqLqoksb1itEr76Ss3KlYFotXKefz6dYcOSCvzdrVbYs8ebTZv8+Ptvd7y8bHTvruX111PLtOaqopCZKWHdOn/WrAkAQKWyo9EoGDJEtJJUdCjjL794MXVqKFlZUsaMqXybPhUNk0k8X6xd6/9fmrdAvXoWhg1LIiLCgFQq9taLU2Yvfv3Vk8xMKZ6edlq3NhARYaBVK0OFb8IUBYcD/vnHjf37VRw86MXly6J8vX79zBwp/4MPmgt9r/7yixfTp4diMkkZNiyJPn1Sq6TypTLAbofoaGUe0n7pkivx8cqc+3h72/JJ5OvVs1SpnAO7nZtItRSdLj/JNhikt5Du3L9n1+EVBk9PO15e4h+VKvurAy8vO+3b68t8oFdacBJ0J3Jw6pToM//3XzcefdTIuHGJOVLQ4uDDD0PZscOXFSuu07Jl6ZCVrCwJO3eqWbVKJOZNmhgZOjQ5j2SwvCAI8OGHYezcqWbmzNhK01FbXWC3w7ffqlmyJOiOw5YqAsuXB/DZZ0F88EEC/funVvThlBqMRimDBtXmyhVXVqy4zuOPV42L2a04dsyTSZPC0OlkDB+eRN++qTmLTKtVwk8/ebNunT9XrrgSHCwmv3frps3nuTWbJRw7pmL3bi8OH1ZhNMpQqey0baunQwc9LVpk5JEiHj/uwQcf1EQuF1iwIPqunr+bJe3PPZfOhx/GVxpJ+62e3SefFJPZC5qA63RStm/3ZetWP5KSFNSqZaFPn1Q6d9betrapOuCHH7yZMiUMq1WKn5+VyZPjadfOUGFk2GAQWxC++07NQw+ZmDUrttp5pksKQYC//3Zj+3Y1P/3kjckko25dkaxeverKwYNe+PraeOedZLp3T8uzsWc2SzhxwpODB0WyK/rWs33aItkNDa14n3ZWloTffvP4r5/ci+RkBVKpQJMmJiIixKq5O7GRaTRyPv44lIMHvWjSxMj06bHUqFHxv2d1gV4vzZckf/myK2azeEGTSgVq1bLkhNFlk/fgYGuZnGMEQdx8LGhyXfBEO5dw6/UyjMaid3DkcqEAgp1Nuh03/d2e5+9eXg48Pe3VZoPISdCdICZG9Jnv3etNSEgWo0Yl8uyz+jv+YGdmin50jUbOV19duauJiNUqYedOHz7/PIDERCWPPWZkyJBkmjUzVugOv9Uq4Z13anHmjDuff151yUtlwx9/uDNrlhhC+NhjRiIjEypFD3Bh2LPHi1GjatKli5Zp0+Kq3dRJq5XRv38dUlIUrF17rVKGkBUHaWkyPvoojAMHvGjWLIMZM2LzqIEEAY4c8WTdugBOnxaT3197TUx+L0jma7GIC/Ddu704cMALg0GGu7udNm0MdOyop2VLA+7uAtevK3n//VrExiqYNCmBbt20d3zsp0+7M25c5ZS0nz7tzoIFwfz1lzv162cycmQirVvnT2a/cUPJ5s1+7Nrlg9ks48knM+jbN5WnnzZU+PS4PCAIsH69P4sWBVG3roWBA1NYty6AK1dcadHCwLhxCeVui/n9d7E+LTFRweDBKQwenFzp1EkVAZ1Oxg8/eLN9uy+XL7vi5ubg2Wd1dO2q5dFHTTnv7b/+cmPBgmBOn/agZk0L77+fVOB6yW4X75stF88OVrv/fnNOqFrDhuWXdK7TSTlyRJz0HzvmidEo+slbtsygbVsDTz9tuKt6P0EQ2wzmzAnBbocPPkisVOes6gaHA2JjlfmS5GNjc6ftKpWdBg3yTtvr18/E3V3A4SDflLowQl3Qbdk1c4XB3V2cWucl0Hn/ZE+1byXcbm6C832Dk6Df08jIEH3mmzaJPvNBg1Lo319zV1KZqCglPXvWo2HDTNasuXM/utUqSuw//zyA+HgljRubGDo0maeeKryWp7yh00np27cuaWli/Zpz8lByJCXJWbgwmP/9z4fAQCujRyfy/POVozatMPz7ryv9+tXlvvsyWbv2WpXtd70dEhPl9OtXF4tFyoYNVfd9LgiwY4eaOXNCUCgcfPhhfIGJ2efOubFunT/79nmhUAh06ZJO//4aatUq+Pe2WsUp1J49Xuzf74VWK8fV1UGrViJZf+wxIx99FMbx4yr69NEwenRisc6HDgesWRPAsmWB1KhRuSTtV6+KyewHD3oRGCgms3fqlDeZXRDg9GkPNm7049AhFTKZwAsv6OjbN7XS/B7lAZNJyuTJYeze7U3HjjqmT4/D3d2B1QpffunHZ58FYjZL6d07lXfeSS5zZYTVKuHTTwNZu9afsDArs2bFVJo++YqCwyG+V7dvV7N3rxdZWVIefNBE165aXnhBV+hrIghw9KgnCxcGc/myKw89ZGLkyKQilX3Xrys5eFAkyGfPil3hQUHWnIn1E0/kt83cLeLicv3kv/8u+sn9/a20aSPWxjVrZiz1ILKEBAWTJ4dx8qQnLVsa+PjjuNtaJJ0oGSwWSb7pdUqKnKgoV6KjlSQkKEhJkaPTybHbsxdVIvkV6V3hCy2ZTMgjFb/d5Prm73l62p2bfqUAJ0G/B3GzlDgtTU7nzlqGD08qtQT2//3Pm8jIGgwalMKIEUnF+hmrFX74wYeVKwOJi1Py8MMmhgxJzhPiVJkQEyPWr4nJ3VF3tfN8L8JikbBxoz+ff+6P3S5hwAANgwalVHq5q0Yj4/XX6yEIEr744ir+/tV74XH9upL+/evi4uJg48ZrBAdXXdnijRtKIiPD+ftvd7p00TJ+fEKBQW7Xr+cmv1utYvL7wIGaInvObTY4c8aD3bu92LfPC41GgULh4KmnMrDZJBw/rqJFCwNz58YU6UdNTRUl7cePq3j++XSmTKkckvbkZDmffRbIzp1q3N3FZPY+ffIms1utEn7+WfSXX7jgho+PjR490ujZM42AgOr9ObkVN24oGTGiJlFRLgwfnsTAgZp817HUVBlLlgSxc6caPz8bI0eKNXRloSy4etWF8ePDuXDBja5d0xg7NrFKVNeVFVJS5Oza5cOOHWpiYlxQqey89FI6Xbtq72gTyW4X1y3LlgWSmKikVSsDI0Yk5mReFIa0tLy+dbNZioeHnVatMoiI0NO6taFEbSCCAP/845pDyi9dcgOgXr3MnKn9Qw8V7icvLTgc8OWXvixYEIxCITB+fDwvvVS5N94rAg6HaCkrzuT65u9nf89iKfqFdHXNJc4uLg4kEvE8bTaLvm+9XkY2SXd1tVOrloUGDSw0amTmoYfE/vZ7+TxR0XAS9HsMp055MGdOMBcvilLiceMSyiQ19+OPQ/nmG18+/fQ6Tz9duB/dZssl5rGxSho1MjN0aFKBcsnKhrNnxfq1hx4S69eq6yS1NCEIcOCAmG4cG6ukQwcdo0cnVon+1KwsCYMG1ebff93YuDGqysq+7xT//uvKwIF1CAiwsn79tUqbCVAcWK2wYkUgq1cHEBpa9BRRo5GzdasvX3zhh8Eg4/HHjQwcmHLbc5PDAX/+6c7u3V7s3etFYqISqVRAEMDX18bixdE88kj+//PUKVHSrtNVHkm70Shl7Vp/Nm4Uk9l79hST2dXq3PdAerqMr7/2Zds2X1JSFNStm0mfPql06pRepYKLSguHDqkYPz4cqVTgk09ibts88fffbsyaFcK5c+488oiJ8ePjS+2anB1cuHBhMO7uDj78MI727ate8GNpwGaDo0dVbN+u5sgRFXa7hKZNjXTrlkbHjvq7eq9aLBK2bfPl888DMBhkvPRSOu+9l1wsv3lmpoSTJz3/84OrSE1V5PjWs5PTw8IKf5xsJU+2nzwpSfSTP/ZYbl97zZoVo366cUPJxInh/PmnOx066Jg8Ob5KXz8KgtUqKdR7fSvZvtWvnZEhw+Eo/CQvkQioVLlS8NtJxPN+ddx2TWoySblyxSWPTP7yZVcMhlxJVHh4Fvffb87jbw8Pz7onLEoVDSdBv0cQE6Nk/vwg9u3zJjQ0i5EjS+YzLy4yMyX06VOXxEQF33xzNd/kzWaDH3/0YeXKAKKjXWjY0MyQIcm0aVNxwTklwU8/eTN2bA1eeimdmTOd9WtF4epVF+bMCeHXX8V+4HHjEmjevHLVphWGmwMC582L5tln80ukqzN+/92dt9+uTb16FtasuVYpprp3gzNnRB9uQoLow3377eRC5edGo5Tt28Xk96QkBfXrZ/LGGxqeey79tjI+QYDz593YvduL//3Pm+RkJSBw//2ZdOumpX17Pf7+NlavDuDTTwOpWVOUtN9/f8Vu/litEr7+WkxmT0sTk9nffz8pT/BTVJSSzZv9+f57HzIzpbRoYaBv31RatMi4JxdvDgesXCkGRzZsaGbhwugiidWtP/vddz4sWiSq2kojIDM5Wc6UKWEcO6aiVSsD06bFVXvFT0GIiVGwc6eab79Vk5KiwM/PSpcu6bzyirbUbTs6nZQ1awLYssUPQYBevdJ4882CqwYLgsOR17ceFSX61u+7z0xEhChLb9QoE4Mh109+9Gi2n9xBixaGHD/5zZtoFQm7HTZs8GfZskBUKgdTplSuTSJBEImqwSBDp5MWQLLzh5/dTLazg9oKg4uLI1+SeEG+7ILItqeno9zPpYIg2hSye9uzifuNG0oEQVzgurnZadAgbyBdgwaZqFRVe11Q2eAk6NUcGRlSVq0KYPNmP+RygTff1NCv3935zIuLGzeU9OhRjwYNLKxbF4VCIZ6sf/zRm1WrArl+3YUHHjDz7rvJtG1btYj5zVi5MoBly4IYMiSJd99NqejDqXTQ66UsXy7Wprm7Oxg6NInXXku743yCisSmTX588kkIb7+dzHvv3ZsVe4cPezJ8eC0efdTE8uXXq/x09OYk68aNxSTroiZNViv8/LMPa9fmJr/37SsmvxdHBpjtW500KZy0tGxpoYBK5cBgkNG2rZ5Zs0q/P/1OIAhiAOLixUFER7vwxBMZjBqVlNPmIQjw668ebNrkz9GjKpRKBy+9lE6fPqk0aHDvdiAbDFImTAjn4EEvOnXSMmVKfIk+HwaDlJUrA9myRayYLOm5cs8eLz7+OBSLRcro0Ym89lpalb2+lgQWi4T9+73Yvl3NyZOeSKUCrVoZ6NpVy9NPG8rcH5uYqODTTwPZtcsHT08Hb7yR3xJSHNy4IfrW9+/34o8/3BEECQqFA5tNgiBI8PPL7ic30KxZRqU+J1++7MLEiaLNolMnLZGRCaVWP2ezibVdhaWJFxaAlv0zt6vtEqfYt/qvC55e3+rJLm2Pf0XBbJZw9Wo2YXfJIfB6fe7JKTQ0K19ve82aWdUmVb284STo1RR2O+zcqWbpUnFHvksXcUe+tHzmxcXPP3sxZkxN+vdPoVGjTFasCODaNVfuu0+cmLdtW/XTfAUBJk0K47vv1MyeHcOLL+oq+pAqBex2MZxr6dIgdDoZ3bun8d57yZVmZ7+4OHbMkyFDatG2rZ4FC2Kq/Pv1bvDjj95ERobTpo2BBQuiq0UQzM8/ezF1ahg2G0RGJvLKK0VLy7OJ9rp1/pw65YlKZadnz9RCk99vhdEoJTJSJHNyuQO7XZIzmXj4YRMdOohd63dSc1Qa+P13MZn93Ln8yewWi4Qff/Rm0yZ/Ll92xdfXRs+eqfTokYafX9X6PJc2rlxxYcSImsTFKRkzJoHXX797MhwV5cLs2blqo/HjE4pVLZqRIW467dqlplEjM7Nnx1CnTtUMdywJLl92YccONd9/74NOJycsLItXXtHSpYv2rlpl7uZ4Fi0K4vBhMVRx6NBkOnfWFmvDRRDgwoVcP/nFi6Kf3N3dTlaWFJtNgrt7rm/96adL5lsvT1itElauDGD16gD8/GxMmxZHixYZObVdBSeK396TbTLdrrbLkUOaC5pg3ywhv5Vwe3o6nASzEAiCGPR7a2/79esuOaF0rq4O6tfPzEfcK/t7tTLASdCrIX77TfSZX7pUtj7z4sDhgHfeqcWvv6oAqF8/k3ffTaZDB321IjpWq4TBg2vz559urF59nSZN7u36tTNn3Jk9W6xNa9pUrE2rignO168r6dWrHiEhWWzadC1fR/a9iC+/9GX69FA6ddIyfXpctfgcJyYqmDgxjN9+86RDBx0ffhhfLFnqX3+Jye9794rJ7507i8nvRUln7XZYtSqA5csDEQQJDRuamTw5jt9+82TPHi/On3cH4IEHzDlkvW7dsptOR0W5sHBhbjL7e+8l0bmzmMyemirjyy/9+PJLX9LS5DRokEnfvhpeeEFXbSZDd4NffvFi8uQw3N0dzJ8fQ9OmpXfeFwTYv1/M64iLU9Kxo44xYxIJCSlYNn+zbePNN1N45517oz7NZJLy00/e7Nih5tw5d+RyB+3bi9Py5s0rh93i1Cl3Fi0SN7/q1ctk+PAkIiLyqwatVgmnTnnk+NGz8ysefTTXT16rVhYWi4STJz3Yv9+LQ4dUaDQKZLLsvnUDERH6cs91sdvFDaLiTK7j4sR6MItFiouLuEl5uym2h0fBXdhFpYlnf3V1ddZ2lScsFglXr+ZO2bM73LXa3J2p4ODsabslx+Nes6alSikryxpOgl6NEB2tZP78YPbv9yI0VOwzf+aZsvOZFwWHQ5TZrVgRyJUrriiVDmQygR07rlSJQLCSQKeT0adPXdLTZWzZElVhwSwVicREOQsWBPPTTz4EB2cxenTZZh2UJfR6Kb1710Onk7Ft29Vi+0nvBaxaFcDSpUH07q1h3LjEKvn63gqHQ/RKLlkSiFptZ/r02NsGfGXjxg0x+X3XLjH5vX17Mfm9ceO8YXAajYzx42tw4oQnL7yQ/l83eygBATaWLLnBffdZiItTsHevGDB39qwHIKYwi2Rdx333WUrl+U5JEZPZd+xQ4+bm4M03U+jdOxU3N4HLl13YtMmfH37wxmqV0rq1gX79NDRrZqwWr/XdwmaDJUuCWLcugMaNTSxYEF1mVVKZmRLWr/dnzZoAAN54I4WBA3NtalarhOXLA1izJoCQECuzZ1f/+jRBEDfHduxQ89NP3phMMurVy6RrVy2dOqVXSpWWIMDevaJ95MYNF5o0MTJyZCJ161o4elTFgQMqjh5VkZEhw9XVQYsWGbRtK07Gi8oicDjEoMHsSfvVq6JvvUGDzBxS36hR8ZLbMzMlxQo4K6g/++ZgsYIgkwl5ptSeng4SExVcv65EpbLz/PM6Hnggs1AS7iRuVRuCIAav3uxrv3hRnLZnb864uDioVy+vt/2++zLv2ZYkJ0GvBjAYcvvMFQqBt97S0Ldv+fjMb4XDAfv2ebF8eSCXL7tSp04m776bQsOGZl5/vR5161pYv/5aqfd9VhZERyvp3bsuPj52Nm+Owtv73jixZGZK2LBBXEQ6HDBwoIY33kjBza1qvs42G7z3Xi1OnvRg9errpToZqw4QBJg3L5iNG/2rXfbCv/+6Mm5cOFFRrvTpo2HEiKRiT4s1Ghlbt/rlJL83bWrkjTdSaNUqg9OnPRg3LhyDQUZkZALduolS+r/+cmP48JoYjVJmz46lbdvcAKWkJDn79nmxZ483Z86I3ck1a1ro0EHPM8/oaNQo844Js9EoZd06MZndaoXXXhOT2X187Bw75snGjf6cOOGJq6uDzp219O6dSt26995mY2HQamWMHStusvTokcq4cYnl0uARH69g3rxg9uzxJiwsizFjEqhd28KECTX45x83Xn5Z9PVW51qk9HQZP/zgw/btaq5cccXNzcFzz+no2jWNRx4xV4nNI6sV1q/3Z/XqAEwmGRKJgCBI8PW1EREhEurmzUvmJ3c4xPPX3r1eHDum4sIFVwRBgkplo06dLEJDs/DyspORkTcALZtoZ2UVzeLd3ApOFM/2ZN9MqLP/7u0t3t/NzVHg63P6tDuTJoUTH6+gf38N772X7FTn3EPIypIQFeWSRyJ/8aIraWm5OzKBgVYaNMgl7Pfdl0nt2pZqrxByEvQqjGyP77JlQWi1Mrp0SWfYsKQK6ZzNluMtXx7IxYtu1K5t4Z13knnuOV2Of2f3bi9Gj65J374axo5NLPdjLC+cOePOm2/W5tFHTaxceaPabkaA+Lrv2+fFvHnBOTLM0aMTq/y0ee5ckXx+9FEc3bppK/pwKiUEASZPDmPXLjWRkfH07p1W0YdUasjMlLBgQTDbtvnRoEEms2fHcN99xZeZG41SduxQs3GjH4mJSnx9rWi1cmrVymLevOh8PclJSXKGD6/JP/+4MWxYEoMGFdybvX+/SNZ/+80Du11CaGgW7duLZL1x46KnZFYrbN/uy/LlYjL7c8+lM2xYMv7+Vr7/3ofNm/24ds2VgAArvXql0r279p6dXBSGCxdcGTGiJikpciZNSqBr1/I/N5w86cGsWSFcveqKVCrg4WFn6tR4OnSons0SDodo29uxQ83evV5YrVIefNBEt25ann9eVyUaJQRBJM7ZU+5//xX95Gq1DYNBisMh4ZVXtAwdmoyPj73ANPHbJYrr9TIyMqQ5eRZFHA1ubg58fe2EhGShVhedJn4zAS+rtYzJJGX+/CC++sqPevUymTEjtsJsmU5UDmg0spzat4sXxT9RUS7YbOJFTqHIO23PJvDVKRPFSdCrKE6e9OCTT0SfeZMmRsaOrRifuSDAwYMiMb9wwY2aNS28804Kzz+fXqAkaebMELZt82PRohuVqmqjtPHDD96MH1+Dzp1Fn25V2Nm/U1y+LNamnTwpBhlFRibQrFnVqE0rCt9+68PkyeH06pXK+PEJFX04lRo2G4weXZP9+72YOTOGTp2qV0DikSOeTJ4chl4vY8SIJPr0Sb0jT2tioox33qmTIzsNCLDSv7+G7t3zJ7+bzRKmTAnj5599ePHFdD7+OK7QSVJ6uowDB1Ts3evF8eOe2GxSAgOttG8vetabNDHmbIzeKq19/HEjo0YlEhxsZds2X77+2pf0dDkNG5rp21fDc8/pq/WmYknx/fc+fPxxKD4+dhYtis5Jti9vaDRyJk0S69NkMvF16t07lXffTa4SZLW4SEqSs2uXmh071MTFiTLoTp3S6dpVW+E1hEUhu7YrNVXGyZMeHDum4swZd7RaBSAQHGwlONiKj48dQYDUVDnR0Ur0+myJeNGLBReXggLNCqvvyp1qu7g4+OsvNw4f9uLgQRUpKaJvPbcvXZ+nRrEicOyYJ1OmhJGWJmfw4GTefDOl2k9JnSg+rFa4ds0lXyhdSkrum8TPz5rH137ffWbq1s2qktc0J0GvYrhxQ/SZHzjgVS595oVBEODwYRWffRbIP/+4ER6exTvvJPPiiwUT82xkZUno168O0dEufPVV9fWjAyxfLnbivv9+EoMHVx8JsE4n49NPA/nqK188POy8914yr75atWrTCsPZs2688UYdmjYVq8Sqw+9U1rBYJAwdWovTpz1YtCiaiIjqtfGWlibjww/DOHjQi6eeymD69NhitWH89luupH38+AQCA615kt9fey2N3r1T83RTC4Lo71+2LIjGjU0sWhR9W0WUwSDl0CGRrB89qsJikeLra6NdOz116lj45RfvnHCqkSOTCAiwsnmzHz/95I3dLqFtWwN9+2po2tRULTcS7xZWK8ybF8LWrX488UQGc+fGVNiUZt8+FR99FIbZLNanPfOMjqVLg9ixQ42vr40RI8SAv8oQjFYS2Gxw5IiKHTvUHD6swuGQ8OSTGXTtqqV9e3252fasVnJk4LdOrosKP8v+vsNR+AdJIhHw9HTkk4hLpXDpkgvXr7vi5mb/z8aix8fHlodsl4b82+GAf/5xY/9+sUv9yhVxA7F+fdG3HhFh4KGHiudbL23odFJmzw7lhx98aNjQzMyZsdSvf+9WODpxe6SlyfKR9qtXXXIsG3K5QJ06Fu6/P5OXX9ZWmUGSk6BXEej1UlatCmTLFl+USoG33kqhb9/UcvfqZFcMffZZIH//7U5YWBZvv53MSy+lF3unMzZWQY8e9alZ08LGjdfKxb9XERAEmDAhnB9+8GHu3Giee65qSxDtdti+XaxN0+tlvPqqWJtWXWSwCQkKevash6enna1b7538gNKA0SjlzTdrc+mSKytWXOeJJ6qXZ18Q4Jtv1MydG4JS6eCjjwqXFGentK9YEUitWhbmzcsrj//7bzfWrhWT3+VyMfl9wIC8ye/79qkYPz4clcrBkiU3iq2OMpmkHDniybff+vDrryrsdgkSicAjj5h4/HEjf/zhzu+/e+LmZueVV9Lp3Tv1ngyzLC40GjmjR9fgzBkP+vbVMGpUYoVs2hmNUubMCWHnTjUNG5qZPTs2T7L/+fOuzJwZyrlz7jRubGL8+IQKm/CXBNHRSnbuVLNrlw8pKQr8/a28/HI6r7yiLdH7UxBERUphieK3C0C7XW2XQpFLsF1dBbKyJOh0MlJT5QiCBDc3Ow88kMljj5lo2tSIv78t5/6eno4iie/5864sXBjMyZOehIVlMWxYEs89pytTshwTo+DgQVF+f+aMaJ8JCLDSpo2Btm31NGtmLPe15t69XkydGorRKOX995Po2zfVWXfmRLFhs8GNG7lJ8tnEfejQJF55Jb2iD69YcBL0Sg6bLddnnp4u4+WX03n//fL3mQsCHD8uEvNz59wJDc1i8OAUOnfWlkiCtG+fihEjatG7t4bIyOrrR8/KkvDWW7X5+2831qy5VmXTdU+fFmvTLl504/HHjURGxufz0VZlmEwSBgyoS0yMki1bosq01qq6Ij1dxoABdUhMVLB27TUaNaq8MtSS4vp1JZGR4Zw/784rr2gZNy5vKJdGIyMysgYnT3ry0kvpTJ4cX2g1X3S0kg0b/Pj2WzVWq4R27cTk90ceEc8RFy+68v77NdFq5UybFlusDT6NJjeZ3cXFQatWBmJjlVy44IYgiGT9/vsz6ddPQ8eO5TeRrIr48083Ro2qiV4v46OP4njxxYqxb5w968b48TWIj1cwaFAK776bUqBc0+GAH37wYcGCINLS5LzyipZhw5IqrSfTYpGwd68XO3ao+e03T6RSgdatxXq01q0NSKU3T7GlRU6uC+rOzvaqFgZPz1t91gVVdOWfdKtUdm7ccOHAAXH6fOGC6CevXduSk5reuLHprshk9npr4cIgLl50o2FDMyNHJvLUU2U/+dPpZBw+7MnBg14cPeqJySTDzc1Oy5YZREQYePppQ7ml5Kemypg6NYz9+71o0sTI9Olx1Kjh3FB0ouQQBKqMUsxJ0CsxTpzw4JNPQrh82ZWmTUWfeXkvegVBPI5PPw3izz/dCQnJ4q23Unj55fS79nTMmRPM5s3+LFgQTceOVXu6XBTS02X07l0Xg0HGli1XK9zndSdISFAwf34wv/ziTUhI1n+yyqpZm1YYBAE++KAGe/Z4sWzZDZ5+OqOiD6nKIilJTr9+dTGbpaxfH1Ut07+tVli+PJA1awIIC8ti1qxYHnnEzMmTHkRGhpORIWPChHhefjm9WJ8TjUbGtm1+fPGFL3q9nCZNjLzxhobWrQ1otTJGjqzJH3948PbbyQwZklzgJM1olLJhgz/r1/thtUp58cV03N3t/PCDGoNBxoMPmmjePAONRsHBgyp0OjlubnZat86gY0cdTz+dUehGwr2Ir79WM3NmCEFBNhYvjq4Qz7PVCitXBvL552J92syZsTRpcntlSkaGlJUrA9i82R83NwdDhiTz2mup5e7lFQSRhN9Kqi9dcuHYMRV//+2KxSLD3d1OcLAVlcpOZmZuOFpGRtEMVy4XCvBi55Lt/H7sXMLt4XFntV1WK/z+uwcHDoj+7fh4ZY4yJSJCnDKXxbnO4YD//c+bZcuCiI9X0qKFgREjkmjYsHzej1lZEn77zYODB8XNiORkRU4ve7t24mZEWStwBEHM9Jk1KxSbTcLo0Yn06JFWrdYgTjhREJwEvRLixg0l8+YFc/CgF2FhIinq0KF8SZEgiEF0y5cHcuaMB0FBVgYPTubll9NLTZJutUro378O16658NVXV6v1zuj160r69KmLWm1n8+areHtX7sVwZqaEdev8Wbs2AEGAQYNSGDBAU2Vr04rCihUBfPppEKNHJzBgQGpFH06Vx40bSvr1q4tS6WDjxmuEhFSdDak7we+/uzNhQjiJiQqaNjVy+rQHtWtbmD8/hgYN7lyBYTLlJr8nJCipVy+TAQPESffs2SF8+62aDh10zJgRi7t7dgc27Njhy2eficnszZpl4OLi4NgxFYIA7dvr6ddPk6eCymqF06c9/uta9yYtTY6Li9i73LGjjogIAypV5T4/lRWysiTMnBnC9u2+tGxpYM6c2Aqxuly7pmTChHD+/tudzp21jB+fcMcBcFFRSj75JIRjx1QlDvF0OETCn18Gnt+TXZCE3Goteort4uLAxycvub51ol1worgdNzehTNdEGRlSjh715MABL44cUWEwyHBxcfDUUxm0bWvg6af1+PuXz3vDYpHwxRe+fP55ADqdnBdfTOe995LKNcNHEOCff3KT6C9dEpUDdetm0ratuEnx8MNl51tPTJTz4YdhHD+u4qmnMpg6NY7g4Op5bXHCCXAS9EoFvV7KypWBbN1asT7zU6c8+PTTQH7/3YPAQCtvvplCt27aMvGKx8UpePXV+oSHZ7F5c1S19aODKBN/663aNGliYsWKylm/JghiHd78+cEkJCh59lmxNq26kqy9e70YObImnTppmTGjeqbtVwT+/deVN96og5+fjfXroyqtzPZucf26ggED6pKaqkCttrF69bU7qmMrCFYr/PKLN+vW+XPpkhuBgVb69NFgs0lYtiyIBg0yWbw4mn//dWXRomCuX3ehTp1MFAqBS5fc8PCw062bll69Um9bd2i3wx9/uLN3r1jflpysQC530Ly5kWee0dG2raHaZEzcDomJCkaNqsFff7nz1lvJDB2aXO6eV0GAr77yZd68YFxcHHz4YfxdqcsEAfbsUTF3bgiJiUqeeCKDLl3SkcuF28rFi1PbJZMJeTqvb5WJG41SLl1y5fx5N6xWKeHhFp57TkfnzumEh2dVuoTuxEQ5Bw+KU/KTJz2w2aSo1TaeflokoE89lZGzOVYR0OulrF0bwObNfjgc8NpraQwenFJukvObERenyJmsnz4t+tb9/Kz/KQoMNGtWsi73oiAIorpl3rxg5HKIjEygU6fiKZWccKKqwUnQKwFu9Zl37arlvfeS86T7lgdOn3bns88COXXKk4AAK4MGpdC9u7bMNwgOHFAxbFgtevZMZeLE6l1r9d13PkycGM7LL2uZOrVyEcJLl1yYPTuEU6c8ue8+M5GRCdUu7OtmXLzoSt++dWjQwMLatdfKfSOsuuPMGXfefrs2deqIz291qoAC0foTGRmO0Sijc2ctP/3kg90uLhqLK28vCtk+1HXr/Dl50hNPTzstWhg4fNgLm02CzSYuiAVBQlqanLCwLHr3TuWVV7Qleq4dDvjrLzf27PFm714v4uKUyGQCjz8ukvV27cpvYljeOHXKnQ8+qElmpoSZM2MrpAJUo5Hz4YehHD7sRYsWBqZNiyMw0IYgiBaG4iSKF+TJzswseqTp6lq497qgyfXNvmx3d0e+97lWK+OHH3zYsUPNlStiIvnzz+vo2lVL48bmSnXNEwTxuidOhb345x9xKlyrVq6f/JFH7s5PXhZISpKzfHkgO3eqcXd38MYbGvr0qTiFm04n5ehRkawfPeqJ0SjDzS1bbaDn6acN+PqW3rkjJkbJpElhnDnjQbt2eiZPjqu25yYn7l04CXoF49dfRZ/5lSuuPP64kXHjEnjggfL1u505IxLzkyc98fe3MmiQhu7d08o1QGjevGA2bPCvFmnnt8OyZYGsXBnI8OGJvPmmpqIPh/R0GcuWBfL1176oVHbefz+Zbt2qR21aYUhNlfH66/Ww2yV88cXVcg9dvFdw5Ignw4bV4pFHTKxYcb1ahJLZ7aI3eMWKAOrUESXt9etbSEhQMGFCOKdPe9Cxo44pU+JLbfp8/rwry5YFcfSoJ2JPcvbzKKFJEyN9+6bStq2+1IiEIMCFC645ZP36dRckEoEmTUx07KijQwc9QUFV/zMjCLB5sx/z5wdTo0YWixdHl0lApNVKIWFmIqn+6y83jh5VYbNJqFkzC3d3Rx6yfae1XbcS6uy/W60Svv/eh5MnPQkOzuKDDxJ45hnDXZNmh0OsFdy+Xc2+fV5YrVIaNzbRtauW557T5QlSrGjYbHDmjEdOyFtcnOgnf/hhM23b6mnXzkCdOpZKtZFQGK5edWHx4iAOHPAiIMDKkCHJvPyytkKv3VarhFOnPNi/X8XBg14kJeX61rP9+jc3VpQUdrv42V2yJAgPDweTJ9+d2sQJJyobnAS9gnD9uthnnu0z/+CDRNq3L1+f+dmzbnz2WRC//uqJr6+NQYNSePXVtArZhbVaYcCAuly9KvrRq3P1jyDAuHHh/PRTxdav2WzwzTe+LFsWSEaGjB490hg6NLna14tZrRLefLM258+7sWFDVLErrJwoGX76yZtx48Jp08bAggXRlU7WeifQaOSMGxfOb7950rmzlokT4/NIXu122LDBn6VLA/H1tTN9euxdJy9rNDKWLw/km298AZEMiRAvFs8/n86sWbFlNuUTBLhyxYU9e7zZsye3M/mRR3LJ+u2k9JURZrOEjz4K48cffWjbVs/MmbGFKg/E2i6RMOt00nxEO3uqfTPxvpmAm823f3FkMoGQkCz8/PIHn3l7F5YyfvvaroJw6pQHM2eKg4HmzTMYPz6hRBsTSUlydu1Ss2OHmrg4JV5eNjp3FuvR7tbqUZowGqUcOyb6yQ8f9kSvl6NUOmjeXPSTR0QYyl2xWJo4c8adhQuDOHvWgzp1Mhk+PIl27e5+4+Vukb3Rlx2u9++/okKhTp1MIiIMtGsn+tbv5tx19aoLEyaE888/brzwQjoTJsRX+owfJ5woDpwEvQLwzTdqZswIxcXFweDBKfTpk1qu3utz59z47LNAjh1T4etrY+DAFHr0SKtQbxWIieGvvlqPkBArmzdHVWvJscUi1q+dP+/G2rXXcqqVygunTnkwa5bYENCsWQbjxiWUKNiqqkEQ4OOPQ9m+3feeUGtUFnz1lZpp08J46aV0ZsyILdNO37LCzZL2iRPFlPbC8M8/rkRGhnPtmit9+2oYPjzpjs9nJpOUtWv9WLs2AKtVAkjw9LTz6qtpvPBCOrt3e7Nhgz9ZWVK8vGxMnBjPc8/py/y5vXZNyd69IlnPrphq1MicQ9ZLYzpWFrDZwGAQyfTlyy7MmxdMbKySiAhRxpxd6XVzR/bNBNxmK5rt5PVi5w05KygELT5eweLFYjr3G29oeO+95HLNJbHZRL/7smVBmM1SXn89lXffTb5tQKDVCkeOqNixQ82RIyocDgnNmmXQrZuWdu30lea6nZwsz/FInzzpgdUqxcdH9JO3a1fxfvLShiCIdsFFi4K4ds2VRx81MmpUEo89VnlsavHxeX3rNpsEX19bTt968+YZJRoQWa2wenUAq1YF4utr4+OP42jVytnG4kTVhpOgVwAuXnRl2zZf3nsvqVx9M3//7cannwZy9KgKHx8bAwdq6NkztVJdpA4f9mTo0Nr06JHK5MnV24+eliajT5+6GI1i/Vp5JLLGxyuYNy+YPXu8K0y5UZHYssWX2bNDeeutZIYNS67ow7mn8PnnASxZEkSvXqlERiZUmfec3Q4rVgSycmUAdetamDdPlLTfDmazhPnzg/nySz8aNMhkzpzipbvbbLB1qy+ffhqEySSOlkJCshg4UEOXLul56tBMJglTpoTxyy/egIQaNSy89VYKL76oK5dN35gYBXv3ijL4c+fcAWjQIJOOHXV07KinXr3SkwoLgtguUVjvdX7peN7vG423q+1yFOi9Lk6iuKeno9hTQKsVVq0KZNWqAIKCxPq0xx+vOBKVliZjyZIgduxQo1bbGTEikS5d0vNt9ERHK9mxQ82uXT5oNAoCAqy8/LKWV15JrxQNLNlKj+yU8b//Ft+PNWpYclLGH33UVK2tWyCeP3btUvPZZ4EkJyuIiNAzYkQS9epVrg14vV7KsWMqDhxQceSIiowMGa6uoqqhXTvRt36n4aLnz7syaVI4V6640r17Gh98kFip7BVOOHEncBL0ewDnz7uyfHkghw554e1tY8AADb16pVXa3tsFC4JYty6AOXNieOEFXUUfTpkiKkpJnz71CAiwsmlTFF5eZfOamM0S1q0LYO1af6RSsTatf39NtfAEFxe//urBu+/W5umnDSxaFF0lp7hVGYIA8+eLWRPvvit2eld2pKSIkvZTpzx5+WUt48fH3/GG5uHDnkyeHE5GhpSRI5Po1Su1wPeemOCtZsmSIPR6kUU0bGjm3XeTadPGUOT79cQJD4YPr0lmphSHQ/Jf8nsqr76aVm7hfImJiv/S4L344w93BEFC7dqWHLL+wAOZeWq78svEC6/tyr79drVd7u5FE+rz5904dEhFSIiVUaMSqV/fknO7q2vZ1naBaG0bP16sT+vUSaxPqyyVdufPuzJrVih//ulO48Ymxo9PoEGDTPbu9WLHDjW//eaJTCbQurWBbt20tGplqHCya7OJLQTZIW+xsUoAHn7YlEPKS3OTqCrBbJawebM/a9f6YzJJefllLUOGJFfK7AirVcLp0+45myuJibk989mvY506xdsEslgkfPppIOvX+xMaamXatNhqHXbrRPWFk6BXY1y44MpnnwVy8KAXXl42+vdPpVev1Eqfpmy1wqBBdbh40ZUvvrha7BNzVcVvv3nw9tu1adrUyPLl10vVoysI8MsvYm1aYqKS559PZ9SopHuuP/TGDSW9etUlMNDG5s1Rzl31CoIgwIcfhrFzp5rIyHh6906r6EMqFMePezB+fA3MZikTJ8bTpUt6iR8rNVXGlClhOQnd06fH5QQTCgJ8+aXY4qHTyQExOX3MmEQaNSp+PkJMjIL336/FtWsu1Kxp4fp11xxJfJ8+qQQGls7C3GKR5JtQ30qoU1LkREW5kJCgQK+XARIkEgFxSXH72q7CJte3TrZvnnirVPZCCaPRKGXixDD27fPm+efT+eijuHJVjuXWQ4WgUIiBVpXRXuNwwP/+58MnnwSRnq5AoXD8V4+WRbduaXTunF5q76OSwmSScvy4JwcOqDh0SIVOJ0ehcNCsmZG2bfVERBgq/BgrE7RaGatWBfDFF77IZNCnTypvvJFSZsOAu4UgiCrT7BC/bBtN7dq5yfqNG98+Wf+PP9yZODGM2FglffqkMmxY0j01kHCi6sNJ0KshLl4Uifn+/V6oVHb69dPQu3dqpdmpLw4SE+W8+mp9AgOtbNkSVe1PrN9+68PkyeF065bGhx/Gl8qO/8WLrsyeHcLp0x488IBYm9a06b23k2wwSOnduy5arZxt28rHSuBE4bDZYMyYGuzd683MmbF06pRe0YeUB3Y7LF8uSpDr1hVT2ktDHppN0ubODcHV1cGkSXHExyv5/PNADAYZEolAy5YGJk+OJzS0ZAQjI0NKZGQ4hw550bGjDqlUYM8eb6RSgU6ddAwYoKF2bUsBtV35J9iFdWRbLEVPsd3cHHmItKurg4wMkbQnJioQBAleXjYee8xEixYZPPaYEbVa/JmCarvuFteuKRk+vCbR0S6MGpVI376p5TpR1WhkfPRRGIcOedG8eQbTp8dWyilmRoaUn37yZscONX//7Y5UKm6ouLo6eP/9ZHr2TK2wgMeUlLx+8uzcBdG7bKBFiwznputtEBurYOnSIH780QdvbxtvvZXC66+nlWv+UUmQmKjIIeunTrljs0nx9c3bTV+Yb91kkrBggWgzqlMnk5kz43joofLN+3HCiZLCSdCrES5dcmH58kD27vVGpbLTt69IzCvrTuntcOSIJ0OG1KZbtzQ++ii+og+nzLFkSSCffx7IyJGJvPFGyevXtFqxNu2bb3zx8rIzbFgSXbtqK12Xa3nAbof33qvFiROerFp1zSl1qyTIypIwZEgtTp/2YOHCaNq2Lf/e6YKQnCxn3LganD7tUWJJ++3w55+uDB9ei9RUke1IJAJPP21g6tS4YncFW62SQtPE09NlHDwoenDVahthYVnExSlJT5chCNkVbUXXdhXWhX37qbajyKAznU7KoUOiDP74cU+ysqT4+1tp315Px456mjY1lqpsev9+FRMmhKNUCsybF8OTT95dov6d4uBBFR9+GHZbe0NFQRDgzz/d2L7dl19+8cZsllK/fibdu6fx4os60tJkfPJJCMeOqahXL5PIyASaNy/751AQxHTubFKenW8QFpaVU4X22GOl+165V3DhgiuLFgVx/LiK0NAs3nsvmRdfzJ85UBlhMIhp/Pv3e3H0qAqDQYaLS3bfuoGnn9YXmOt0/LgHU6aEo9HIGTQohXfeSSnXQEYnnCgJnAS9GuDKFZGY797tjYeHnT59UunbV1MtqiYWLw5i9eoAZs2K4aWXqrcf3eEQ69d+/tmHBQui77jT02aDL7/05bPPAjEaZfTsKabyVof3QUmRnWcweXIcPXpoK/pwnLgJJpOUN9+szcWLrqxYcYMnnihf8nQrjh/3ZPz4cMxmKZMmxdO5c3qpPv61a0rWr/fnu+/U/yWCi9fXgAAbb7+dTECArdDJ9a0k3GwuejXt4uJAqRQwGKQolWLHs6+vjYQEBZcvu2KxSKlRQ/SHP/WUER+fXKLt4XHntV0lgdEo5fBhFXv2iItts1mKWm2jXTs9HTroadbMWOJFtMMBn30WyMqVgTz4oImFC2MICSk/5YzJJGHu3BC++caX++83M2tWbKVqydBqZXz/vQ87dqi5etUVd3c7zz+vo1s3LQ89ZM6jMBAEcaNhzpwQ4uKUdOyoY/ToxFKv1rPZ4OzZXB9yTIwLAA89ZPqvCk1Pgwb3pp+8LPDrrx4sXBjMhQtu3H+/mREjkmjZMqPKPL9Wq4Tff899vyQkiL71xo3N/0nhRd969u+j10uZMyeE775T88ADZmbMiK1UVYBOOHErnAS9CiMqyoXlywP45Rdv3Nwc9O6dSv/+qdWqx9pmgzffrMM//4h+9Lp1q7cfPTNTkuO/X7fuGg8/XDw51smTHsyendtrO25cQrGSpqszvv/ehwkTwunZM5WJE6t3I0BVRXq6jAED6pCYqGDNmmsV0klvs4lkbvXqAOrVE1PaiyNpt1q5qZorb5r4zd+7dk3J1auupKeL/nJxel30FBsoMC385gl2wbeLUvHsqquzZ90YMaImFouUTz6JoXXrDEwmCd9+q2bjRn/i4pTUqZPJwIGackt+Lwhms4Rjx0SyfuiQCqNRhkplp21bcbL+1FMZxa7v0umkjB9fgyNHVLz8spZJk+LLtfrr3Dk3xo8PJyZGyYABYn1aZZAROxximOCOHb7s26fCZpPSuLGJbt20PPec7rahsRaLhPXr/Vm9OgBBEINGBw68u6BRk0nCr7+KE9HDh1Wkp4t+8iefNNKunZ42bQyV0g5QXeBwwM8/e7NkSRBxcUqaNctg5MjECjkP3w0EAS5dcmX//ry+9Vq1LDm5BI8+KvrW9+1TMXVqGAaDlKFDkxkwQHNPqgudqPxwEvQqiKgoJStWBPLzz964ujro3TuN/v01+PhUH2J+M5KTRT+6r6+NrVuvlqgnsyohNVVG7971yMyUsHVrFKGhhU8qYmMVzJ8fzN69Ym3amDEJtGtnqDK74GWFP/90Y+DAOjz2mIkVK0o3eM+J0kVSkpz+/etiNErZsOEadeuWz8aSIEB0tILx42vw11/utG6t5+WXtWRmFi9RPLsCrTDIZOJ5ym7PJeTe3jYef9xI3bqWHEItkzn47jsxJbthQxMffxzHffdZSm3RmJioYNiwmly86MqoUYn06yd6sG022L3bm3Xr/Pn3XzcCAnKT3ysyr8RikXDihCe7d4vJ3AaDDHd3O23aGOjYUU/LloZCbQeXLrkwYkRNEhIUREYm0qNHWrmdC202sUpw5cpAAgKszJwZV+GqEBDzXL79Vs2336qJi1Pi7W2jU6d0unbVlmiqn5AgXnN++cWb0NAsxoy5s6pOjSbbT67ixAnR5qBS2XM8xa1aOf3k5Y2sLAlff61m5cpAtFo5zz2XzrBhyZWiPq8kSExU5LzHfvvNA5tNVOdkv8ceeMDM/Pkh7NnjzSOPmJgxI5Zatarm7+pE9YWToFchXL+uZOXKQH780RsXF4GePVMZMEBTbN9iVcbx4x68805tunRJZ9q0uIo+nDJHVJQLffrUJSjIysaNUfkWzCaThDVrAli/3h+ZDN58U6xNK89JUWVFYqKc11+vh5ubg61bo6rtxlV1QnS0kn796iCXw6ZNUcWWI9vt2VPs/JPrm5PG839Phk4n+488Fw4Pj7yT68Km2tl+bYdD4MABL777To1WK8fV1UFmppSaNS2MGpVY5ObZ//7nzfTpoQgCjB+fQOfO6aVGLk0mCZMmhbNnjzddumiZMiU+Z6orCKLcdd26AE6c8MTDw06PHqWb/F5SWK0SfvvNgz17vNi/3yvnOW3d2kCHDmJXcnYryc8/ezFlSjiennYWLIjm0UfLLwwqOlqsTzt3zp0XX0xnwoT4Cs1+sVrh8GEV27f7cuyYJw6HhGbNMujWTUu7dvpSuU6cOuXBzJm5qq3IyIQClSeCANeuueRMN//6yw1BkOT4ydu2Ff3kzk3UikdGhpS1a/3ZvNkfq1XCq6+m8fbbyXfcR16ZkJEh5ehRTw4c8OLIkVzferNmGfj729i92xubTcLIkYn07JlWJbz4Ttw5jEYpy5cH0r17GrVrV43NGCdBrwBoNDL27PHmtdeKdzKIjlaycmUAP/zgg1KZS8yr8kmzJFi2TPQUTp8ee1eVR1UFJ0+KmxJPPpnBsmU3UCjExc5PP3mzYEEwSUkKXnghnZEjEwkOdsoAQZTKDhhQlxs3lGzeHHXPy/wrOwQht7br3Dk3JkwIR6Vy8OabyQiCpFBPdvb3MjKKHjPL5UIeMq1S2fH0tBMd7cK//7rh52fltdfSqFtX7MP29s6VkHt6Fl7bdSuuXHFh0yY/fvjBJyf4TKNR4OtrZejQZLp21RbrseLjFUyYEM7vv3vwzDM6pkyJLzXLksMBK1cG8NlnQTz6qJGFC6PzBSpduODKunX+/PJL3uT38lI1FAWbDc6cEcn6vn1epKSINWBPPZWB3S5K5B97zMj8+TE5FXZlDUGAHTvUzJkTjFwOU6bEVWh92o0bSnbsULNrlw+pqQoCA6106aLllVe01KhR+h787NyTTz8NwmyW8vrrYu6Ju7sjx09+8KCKGzdEP3mjRrn+4Pvuc/rJKytSUuQsXx7Ijh1qXFwcDBigoX//1NvaICo7rFbxHJKdCh8frwQEVCoHBoOMxo1NzJ0bU6Rq0YmqBUGAffu8mDUrhORkBePHx9OrV+Wtd70ZToJeAfj88wCWLAmiZUsD06fHFpg6CWKv7cqVgfzwgw8KhUCPHmkMHJhS6P2rO+x2GDy4NufOubNt29V7gnzt3OnDlCnhvPpqGt27pzFnTghnznjQsKGZ8eMTeOwxZyp5NgQhO2TPm6VLo2nTpnIkg1d3OBzilOLWILPCPNm3hp9Zrber7cr1VudNE8+fNH7rVNvNLW9tV1KSnLFja3DmjAddu6YRGZlQYsuMIMCxY55s2uTH8eMqXFwc1KiRxbVrLiiVDgYOLNmi1m6Hdev8+fTTIHx9bcycGUuzZqUnlf7lFy8mTQrHx8fG0qXRPPBAfr9pbKyCjRv92blTTWamlIgIPW+8oak05xuHA/78053vv/dm1y41WVlSJBKBZs2MPPusjnbt9GWuLEtNFevTDh70olkzsT6tIjZKMzMl7NnjxY4dvpw+7YFMJtC6tYHu3bW0bGkol6TztDQZCxcG8e23apRKAblcwGSSIZdn95MbaNNG79xIrmK4dk3JkiVB7N3rjZ+flXffTaFr17RqoXYQfesuHDzoxf79Kv75R2wKkEgEnnoqgzffTOGxx0zOpoAqjNhYBbNmhXD4sBf33Wdm8uT4clVW3S2cBL0CIAjirvO8ecF4eDiYMSOWVq0ycm6Pi1OwalUAu3apkcsFXn01jUGDNPj7Oy9uGo2c7t3r4eNjZ+vWq6VegVQZMXt2MFu2+AMCarVYm/bKK/dmbVpRWLUqgKVLgxgxIpFBg0peU3cvIitLkkOmC5KDFzS9zv6TkSH9r76rYEilwk0EuuDqrptvu3ZNybx5wTRqZGbVqut4epbOZ/zYMTGlPTNTwuTJ8XTqVLJWiMxMCT/84MOmTX5ERbni72+lfv1M/vzTnawsKV27ahkyJPmuz9fnz7sSGVmDGzeU9O+v4f33Sy9s7J9/XBk2rBZ6vYyZM2Pp0KHgqa9WK+OLL3zZutWP9HQ5jz5qZOBADRERhgqXgp4/78rIkTVzqpOysqTs2eNFTIwLUqnA448b6dBBT/v2+lKX6h8+7MnkyeFkZEgZPjyJPn3Kvz7t4kVXvvlGzf/+54PBIKNGDQtdu2rp3Dm93KwJGo2MQ4fEKfmvv3pisUiRyQTsdgk1alj48MM4mjWrHJs6TpQcf/7pxoIFwZw540GtWhaGDUuiY8fi5w5UBSQlyfn2Wx82bvRHrxdZuZeXjYgIA23bGmjRIqPKKwjuFVitEjZs8GPlykAkEoGhQ5Pp3Tu1ym22OAl6BeLyZRfGjq3BlSuu9O2r4bXX0li3zp9du9RIpbnEvLzkelUFJ0968NZbtenUKZ3p0+Oq1UXiZlit8OWXfnz6aSBGoxRBgFmzYqt93VxJsH+/iuHDa/Hii+nMmhVbbd8ThUEQRI9VXvJccEXXrUTcYJCRmVk0u3B1deSbUt/ah32rH/vm2q47fT1+/tmLsWNr0Lq1gUWLou9qYmOzwaefinWN9etnMn9+dInaIDQaOdu2+fL1175otXIeeMDMAw+YOXpUhUajoH17HcOHJ1GnTun528xmCfPnB/Pll37cf7+Z2bNjS005pNHIGT68JufOuTN0aBJvv51S6OtkNovJ7xs2iMnvtWtbGDhQw0svpVdIQvm33/owbVoofn42Fi6Mzkmdzk5z3r1b7Fq/ds0ViUTg0UdNdOwo1rfdTd2aySS+Hl995UeDBpnMnh1TrlVNGRlSfvzRmx071Jw/745S6aB9ez3du2t5/HFjuWwSREUp/6u28uLcOdFPHhqalZOW/dhjRnbv9mHBgiA0GgWvvKJl2LDEe1b5V10gCGKuwaJFQVy54krjxiZGjkzk8cer1waMwyEqmJYtC0QiEW1SZrMMpTJbDSK+z53r8sqJ06fdmTYtlKgoVzp00DFuXCLBwVXTsuAk6BWMzEwJU6eG8v33akD4b2KuZdCgFGe9SBFYvlz0Uk6dGssrr6RX9OGUOo4f9+CTT0K4etWVFi0MDB+exIwZoVy65Mr69VFVrgalLHHpkhioV6+ehXXrrt1V7U9Fwmoln0S8oDTxgm43GGQ4HIWzYIlEwNOz4Ol1QUT7VsJdESTsq6/UTJsWxgsviJsuJSEfiYlyxo27O0n7v/+6smmTHz/+6I3dLiEiwsDDD5v4/nsfrl1z5ZFHTIwenVim8u9Dh1RMmRKG0Shl1KhEXn+9dNLJLRYJH38sXn+eey6dqVPjinx+bDbYu9eLtWsDuHDBDX//3OT38ghFs1olzJkjblg0a5bBJ5/EFCllv3rVhT17RLJ+6ZJYvfTQQyJZ79hRf0cp1X//LdanlYWioSgIgtgPvn27mt27vTGbpTRokEm3bmm89JKuzGtV7XY4d849x7d7/broJ2/YUPSTt2tn4L77MvO9HzMypKxaFcCmTX64ugoMGZJMz56p1UIefS/DbofvvvPh00+DSEpS8PTTekaMSCpRI0BlRlSUkkmTwvnrL3eefDKDWrUsHD+uIi5OCcDDD5to29ZARISe+vWdeQoVjbQ0GQsWBLNrl5qwsCwmTIjn6aczbv+DlRhOgl6BSEyUs3p1ANu3qxEECTKZgFQKkZEJdO2qdX7gi4DdDu+8U5s//nBn69ar5TrFKEvExCiYOzeEAwe8CA/PYuzYBCIixORnjUZGnz71sFjE+rW7mQRVF6SlyejVqx5ZWRK++OJqhaZOCwKYzdIiJtf5E8VvnmqbzUV7FpRKR56+61sJdXbAWUFJ456ejgqXJJcEq1f7s3hxMD17pjJhQsIdnROPHPFkwoRwLBYJU6bE35HyxOEQp0WbNvnx22+euLnZefnldB5/3MjWrX78/rsHtWtbGD486Y4qpu4GGo2MKVPCOXJE9V9+SVyp2J4EAdav92fhwiAaNsxkyZIbt90cFgRRybRunT/Hj6vw8LDz6qtp9O6dWmY+45QUOaNH1+CPPzwYMCCF4cOT7kiyGB2tzCHr58+LftMHHjDToYNI1gsLwrPZYPVqsT7N39/KjBlxPPlk2denpaXJ+P57H3bsUBMV5Yq7u53nn9fRvbuWBx80l+l7zmwW+8kPHBD7ydPS5MjlDp54wpSTvF7cqdS1a0rmzAnh2DEV9eplEhmZQPPmFV8/58TdQayB9WP16gAyMqR07pzO0KHJ1WpdYrPB2rUBLF8egI+PnY8+iiM01JoTfvjXX+J5JDw8i4gIcbPqsceMVU5KXZXhcMDOnWoWLAjCZJIxYICGwYOTq0Uds5OgVwCSkm4m5vDKK+m89VYKUqnAxInhnDzpSceOOj78MA5vb6fnpTBoNDJefbU+np4OvvjiapXuTjWZpKxe7c/69f7I5QKDB6fQr19qvgnN1avitDgkRKxfy64YuhdhtUp4663a/PWXG+vXX+Phh+8+/MNuJ890WqcriGTn92Nnf7XZil41e3rmJ8+3+rKzyfat0+17sUJPEGDhwiDWrQvg7beTee+95Nv+jM0Gy5YFsWZNAA0aiJL24srOTSYJu3ap2bLFjxs3XAgKstKrVyrNmmWwdm0Au3d74+trY8iQ5AoJS7o5v8Td3cHHH8fRtm3phCEeOqRi7Nhw3N0dLF4cTePGxfs8ZSe/797tjUQi8OKLYvJ7aYZ4nj3rxqhRNcnIkDF1auxdJ6XHxSnYu9eLvXu9OHvWA4B69TJzyHr2RDgmRqxP+/NPd154IZ2JE8u2Ps3hgBMnPNm+Xc3+/SpsNimNG5vo3j2NZ5/Vl6kHNjVVxuHDKvbv9+LECU8yM8V+8latDLRrp6dly4x8dZ/FhSDAwYMqPvkkhNhYJR066Pjgg0TCwqoPmbtXodPJWL3an61b/QDo3TuVQYNSqtXa9d9/XZkwIZzLl13p2jWNMWMS8fR0kJws5+BBFQcPenHypAdZWVK8vcW+9YgIAy1bZlTpdWllx6VLLkybFsrZsx40bWpk0qT4ahUe7SToFYD16/1YvDiYLl20DB6ckqfSIdf/EoS/v5XZs2Np2rR6eXxKE6dOufPmm3V47jkds2dXPe+xIIj9xwsXBpOcrOCll8TatKImwcePezBkSG2aNxfr1+7F3VpBgGnTQvn6a19mz47hxRd1Od/PzJQUK028IBm50Vi82q6CJeFF92R7etqdwX4lgCDARx+FsmOHL2PHJtC3b2qh901MFFPa//jDg+7d0xg3LqFYlofERDnbtvnxzTdq9Ho5Dz1kol+/VJo2zWDNmkC++soXhUKgf38NAwZoKnzRFRXlQmRkOBcuuNG9expjxiSUSmDmlSsuvPdeLVJS5Hz8cdwdqQ5iYxVs2uTPjh1i8nubNnoGDtTQpImpxOfl7A2JOXOCCQmxsnhxdKlLaZOS5OzbJ5L133/3wOGQULOmhZo1LZw65YFCAZMnx/PCC2WX/ZGYqGDnTh++/VZNfLwSHx8bnTql07WrtkwXnNeuKXOmgWfPuiMIEkJCsv4LxtLz+OMmFIrSWwdaLBI2bPBn9eoAHA4YNCiFgQM1VdaW5EQu4uMVfPppIN9/74Onp4O33krh9ddTq81rm5UlYfnyQNau9Sc42Mq0aXmVNCaTlOPHPTlwQMWhQyp0OjkKRV7fekUq/KoTTCYpy5cHsGmTP15edkaPTqRz5/Qqt/6/HZwEvQJgNktITZUTHl747vHff7sxdmw4cXFKBg9O4e23k+9JIlYcZKd3f/hhHN27ayv6cIqN8+ddmT07hLNnPWjUyMz48cWvgPjmGzUffxzGa6+lMnHinUl/KzscDjAYpAUQ6Vyi/fvvHpw540F4uAVfX3seon272i5396LTxIvyZbu5CdXqua4qsNthzJga7NnjzfTpsXTpkp7vPtmS9qwsUdKevWlTFM6fd2XjRnH663BA+/Z6+vZN5f77zWzZ4s+aNf5kZorJ7O++m1ypgoGsVglLlwayfr0/tWplMXt2TKlkU2i1MkaNqsnp0x4MGpTCsGFJd2SPyE5+37bND61WTuPGJt54I4WICMMdbVBZLBKmTQtl1y41rVsbmD07psx97qmpMn74wYe1awNISxMvuEFBVp59VkfHjjoaNzaXmlXEaoVDh7zYvl3NsWOeCIKEp57KoGvXNNq1M5SJv91uh7/+cmP/fq8C/eRt2xq4//78fvLSRmKigvnzg/j5Zx9CQ7MYMyax3KwiTpQtLl50YdGiYI4eVREcnMXQocl06pRebTanz551Y9KkcG7ccKF3bw3Dhyflk1PbbGJuhBimqCImRvycPfSQKWfzq0EDp2+9JNi/X8WsWSEkJirp1i2NESOS8PGpngGUToJeiWE0Spk5M4TvvlPz6KNGZs+OdUrCCoDDAe++W4vTpz3YujWK+++v3AFqqakyli4NYscONWq1nREjEunSJf2OF34LFojS39tNFSsCFoukyOn1zYT7ViJenNouhwNcXQXq1s3E27voyXVeL7bdGVJURZGVJWHo0FqcOuXB/PnRtG8vSrutVlHSvnZtAPfdZ2bevJgiJe12uyi33bjRnzNnPPDwsPPKK1p6904lJMTKrl1qPv00kORkBe3a6Rk+PLFEqe/lhVOnPBg/PpzUVDnvvpvMoEEpd70YtlolzJoVwtdf+xIRoWf27Ng7Vg2YzaJdYMMGf2JjxeT3/v01dOqUflu7RkKCghEjavLPP268804y776bXC4ZCkeOeDJlShg6nYzBg5MJCrKxb58Xx497YrVKCQy00r69KINv0sRYouf5+nUlO3ao2bVLTVqanMBAK6+8ouXll7VFbtqXFJmZEk6cECd7Bw96/ecnF2voskl5RfmGT53yYNasEC5fdqV58wwiIxOoV6/6SFTvZfz2mwcLFwbx99/u1K+fyciRibRunVEtSKnZLGHRomC2bvWjdm0L06fH8sgjBQ9XBEFUPGWHLJ47J/rWw8Kycj5/jz1mdK5LboP4eLHT/OBBLxo0yGTy5PgyDWatDHAS9CqA//3Pm2nTQpFKYcqUuLv231VHpKWJfnQ3N9GPXhm92VYrbNvmx4oVgZjNUnr3TuXtt5NL7OtzOGD06Brs2+fF4sXRpeZFzX5so/FWn3X+RPGC0sT1ehkWy+1ruwoi1AVNtm8ORtPrpQwcWIegIBubNt3bHvx7ESaTlLfeqs2FC64sX36DWrWyGDs2nD/+8ODVV9MYO7ZwSbvRKGXnTtFfHhurJCwsi169UunaVYuHh4MjRzxZuDA4p0Jo9OhEmjSpGgsAnU7KjBmh/PSTD02aGJk58+43cwUBtm3z5ZNPQqhTx8LSpTdKRCCzk9/XrQvgn3/E5PfevVPp0aPg5PeTJz0YM6YGVquEmTNjS/W8VhhurrOrX1+sT7v//lyiaDBIOXxYxZ49Xhw9qsJikeLra6NdO5GsP/FERpELbLNZwt693mzfrub33z2QyQTatDHQtauWli0Npa6OS0uTceiQSAh+/VX0k3t62mndWvTGtmplKJfU/eLAZoOvvvJl2bIgTCYpr7+eypAhJb8uOlF5IAiwe7cXS5YEER3twuOPGxk5MrHY+RaVHSdPejB5chhJSQoGDUrhnXdSbqt80WhE3/qBAypOnPAkK0uKl5eN1q0zaNtWzHpwrmtyYbXCpk3+rFgRCMCQIUn07n1vtEE4CXoVQUyMgsjIGpw7506XLlomTEgo08CYqojff3dn0KA6dOyo45NPKpcf/dgxT+bMCebaNVdatjQwdmxCqUzlzGYJAwfWISpKrF9r1ChXPWC1SvJ1XhdFuG+eeGdk3L62S6XKKwXPS6jzB5/dfFtJ5JsZGVL69Kn7Xx911B1VJDlRfaDTyRgwoA4xMQoUCnEz6cMPC/cIx8cr2LrVj+3b1WRkyHj0USP9+qXStq0euVy0Ey1YEMSpU57UrGlhxIgkOnSoenJbQYAffvBm5sxQACZMEJPr7/b3+PVXD0aProlcLrBgQXSJe48FQZyqrVvnz7FjKtzd7bz6qpY+fTQEB9sQBNi40Y8FC4KpXdvCokXFD/e7G5w/70pkZA2uX3ehXz8Nw4YlFTnhN5mkHDniyd69Xhw6pMJsluHlZaNtWwPPPKOjeXNjzvntwgVXtm9X8+OPPhgMMmrWtNC1q5YuXdJLJYH/Zly/rvxv4e/F2bPuOBwSgoKs/03p9DzxROn6yUsbWq2MJUuC2L797pRlTlQ+WK2wfbsvy5cHkpYmp2NHHcOGJVG7dtW/hhsMUj75JIRvv1Vz331mZs6MK7aK02TK25ag1Yq+9SefNOZUuN3Ldctnzoid5leuuNK2rZ7x4xOqVUvA7eAk6FUIVissXx7I6tUB1KyZxZw5peM5rE7IrmWaNCme115Lq+jDITpaydy5wRw86EXNmhbGjk3k6acNxVo0C4K4GDQYZOh0BaeGGwxSkpPlHD7shcMhyqZMJvF2s7nolY2Ly60kuuiebJGQV0xtl90Ow4bV5NgxFStXXqdZM2dNz70KqxVmzw7hq6/8kEoFli69UWDf6dmzbmza5M++fV4APPOMjr59U3PS/mNilCxZEsjPP/vg62vjnXeS6d69/JPZSxtxcQomTAjnzBkPnnsunUmT4u86UfnGDSXvvVeL2FglkybF063b3WV9XLwoJr///LM3Egk8+2w6Op2Mo0e96NhRx7RpcWUexGe3w5o1ASxfHoivr40ZM2LvuP4rM1PC8eOe7NnjzaFDKgwGGR4edmrXtqDTyYiNdUGpdNCxo55u3dJ4/PGSB+bdCocDzp1zy/G5XrvmCsD995tp21b0uTZsWPZ+8tLGP/+4MmuWmM3y8MMmxo9PKJWGDicqHkajlA0b/Fm/3o+sLCndu6fxzjsppb5ZVRE4eFDFRx+FotPJGDIkhYEDU+5IGWO35/rWDx5UceOG6Ftv1Mics8l23333hm9dq5WxcGEwO3eqCQnJYvz4hHJRUlU2OAl6FcSpU+6MH1+D1FQZw4Yl07+/xrnL/B8cDhg6tBYnT3qwZUsUDRtWzAaGySRl1aoANmzwQ6EQeO21NNq102M2y/JNtQuq78r+vt1e9Nk4mzArlQ5u3HDB3d1BRIQeP7/CZeLZ/65KtV0LF4oe44kT4+nZs+I3XpyoGCQmKvjggxr8+ac7zz+fzm+/eSCTwcaNUYSFWXPk1Js2+XPunDsqlZ3u3dPo1Sstp7dZq5WxcmUAX37pi0IB/fqJyezVSVZot4v9vZ99JnZ3z5wZxxNP3N2mll4vZezYGhw7pqJPHw2jRyfetTQ7Pl7BZ58F8t13PgiChNq1M5kyJb5UiWxBiI0VNzH++CN7EyMBb++SBw0Jguin/vzzAE6d8sg5bysUDlq1MvDCCzpat777yqXMTAknT2b7yVWkpiqQywWaNs31k9/cClNVka0GWbgwmJQUBS+/rGX48ET8/atnGNS9Bo1GxooVgWzf7otC4aB//9RK0Y5xt0hPlzF9eii//OJN48Ympk+PLZEKSBDg2jUX9u8XcyPOnXNDECSEhYl9623bGmjSpPr51h0O2LXLhwULgsnIkNGvn4a3304ulYaSqggnQa+i0OlkfPhhKPv2efPUUxnMmBFbqRKGKxJarehHVyodfPnl1bvysmXXdhVc0VWwRDwuTkFysqJIiXg25HJHDmkuLFW8oJ7s7Cn2zSFFx455MnRoLVq2NLB4cXS1Sf3//ntvJkyoQY8eqUyenFDRh+NEBeHQIRUTJ4ZhtUr46KN4nn9ex8WLLgwcWBdvbxsvvZTOrl1qEhKU1KxpoXfvVF5+OT3HCmQ2S9iyxY81awIwmaS88oqWIUOSq3X1zd9/uxEZGU50tJIBAzS8/37yXcmcbTZYsCCYTZv8eeqpDObOjb6r6fyRI56MG1cDEGjb1sDRoyrS0sTk94EDNbRtqy/V9GdBEBeAs2aFIJXCxIli2n9JNwNSU2V8/70P27f7cv26Cx4edl54QUeXLmkYjbL/6tu8SUuTo1Q6aNkyg44d9bRpoy+2B1yrFfvJDxxQcfy4CrNZioeHnVatRM9qq1aGatU5fTOMRikrVwawaZMfrq4C776bzOuv3xv+03sBN24oWbIkiN27vfH1tfH228m8+qq2UlsxioOff/Zi+vRQMjOljBiRRK9eqXc1RNNo5P9lSoi+dYtFikolZkqI54Cq71u/ckXsND9zxoMmTcRO89Ku1KxqcBL0KgxBgK+/VjN3bghubg6mT48tUOp5L+KPP9wZOLAO7drp+eSTmJzAs+JOrnOJtxSbregzq4eHSJqVSoHUVDlGowwfHxtPPZVBnTqWAtPEs7+6upZubddXX6mZNi2MXr1SGT++6pPZc+fcGDiwDo0bm1m16ppzYXYPwmqFpUvFxoL77zczf34MtWqJU4mYGCWLFgWye7c3IOHRR40MHKihTZvcSi+7Hb77zodly4JITlYQEaFnxIikeyYt2mSSMHduCN9840vDhmZmz46lbt27+9137vRh6tRQwsOtLF164469pA6HWI/52WeB3H9/JgsXRhMebiUzU0x+X79eTH6vVUtMfu/c+fbJ77eDVitj6tRQ9u715vHHjcyYEVuiabPdDidOeLJ9u5oDB1TYbFIefdRIt25annlGl2/aY7eL16O9e73Ys8eb5GQFcrmD5s2NPPOMjrZtDflqgmJilOzfL/rJ//hD9JMHBop+8nbtDDz+uLFMatgqK65dUzJnTgjHjqmoWzeTyMgEnnrKaXOqLvjrLzcWLhRzQGrUsDBsWBLPPKOv0srQlBQ5H30UyuHDXjzxRAbTpsWVSgtTQb51ufxm37ohRy1WGeFwiOdEh0OC3S5uwq1ZE8AXX/jh4WHn7bdT6NBBB0jy3C/7qyAU/P2bvzochd/+4IPmSt3KcjOcBL0a4OpVF8aODefSJTd69Upl1KjEKiVfLg4yMyX5CLVOV7AnO/vf8fFK9Prbj19kMqGAzuuCe7BvJdsqlZ30dBlLlgTz7beil3XEiCQ6d664cJu5c4PZuNGfyMh4eveuunLwpCQ5r79eD6VSYNu2q6jVTnnjvYaEBAVjxoiS9h49Uhk7NhGlUuDMGXc2bvTnwAEVMhk0aWLk9989eOQREytWXMfNTUAQyJPM/vDDJkaNSixxyFlVx/79Kj76KAyTScro0Yn07Jl2V5uDZ864M3JkTaxWCfPmxdCiRfE2hw0GKRMnhnPggBcvvZTOlClx+XqE7XbRqrB2rZj87udnpXfvNHr0SC3RtPjYMU8mTQojPV3G+++LtrA7ncwnJCj49lsfdu4UVRpqtY1OndLp2lVb7M0eh0MkI9lkPS5OiUwm8MQTRho2NJOVBSdPqrhyRfST33dfrp+8UaOq5ycvTQiCqKKZMyeE2Fgl7dvrGDMm0Vk9W00gCHD0qHi+vnzZlQcfNDFyZFK55s0IAvnI3a2EUvxe9t8LJ4h2u+S/Sk8vtm71A+DVV9No3jwjh2QKgni/7PvnJ5m33p57P4dDVDQlJCi5dk3J9esu6PWibFKtthEWlkVIiBVvb3sRj1Pw4978/TslwEXfXvEnsHHjEujTp3LVEhcGJ0GvJrBYJCxcGMSWLf7cd5+ZTz6JrVQTIodDTOEuLE38ZrJdUEd2VlbRbNfNLX+iuEpl58wZd+LjlfTtq+G++yx5yLa3t3h/NzdHiRY+VquErVt9WbEikMxMCX37pjJ4cEqFS43sdhg5siaHDqkKDdCq7MjMlDBgQB2uXXNh8+aoe17qdC/i4EFR0m6ziZL2Dh30/PKL6C//5x83vL1t9OiRRs+eaQQG2vjlFy/GjKlBy5YZvPNOEkuWBPPbb2Iy+/DhSXTsWPWS2UsbGo2cSZPCOHZMRevWBqZOjb0rX298vIL336/JlSuujB2bQK9eRZP+qCgXhg+vSUyMkjFjbn//bG/32rVi8rubm53u3bX065darClRZqaEBQuC2bZNrE+bNSuWBx4ofi6J1Srh0CEV33yj5vhxTwCeeiqDrl21tG1ruKspdmamhG++EfvQL192/W/xKqBSOXjyyQz699fw2GPOcLRbYbFI2LjRn88/D8DhgIEDNbzxRkq+TZ7qCJHQFU6ObjddLOr2kpOu23+9k//XZoO4OCWXL7uSmSlFrbZRp44FNzdHHvJ7u6/5yW/+r7cS8OLYEisbJBIBmQykUlGNmf172+0AEqRSARcXB25uAm5uDmQyAalUvL9USs6/b/1a1O0SSeE/V9TjZR+n0Sjl6FEVV6+64udn5ZlndNSqlZVze2E/Vxq3q9W2SlMxeTtUGEGXSCTPAYsBGbBaEITZt9xeE9gA+Px3n0hBEH4s6jHvZYKejcOHPZk8ORyTScqYMQm8+qq21BalWVn5a7sK8mTnlYiLfzIypAhC4Qcileav7SooTTz/98SJdmGeJZ1Oxquv1kMqha++ulJqH8wjRzz55JMQrl93oXVrsTatMlWGmEwSBg6sy7VrSjZtulbs2o/KAEGAcePC+flnbxYtiqZdu3svvfNehtUKS5YEsX59AA88YObDD+M4ccKTbdv8SE5WULu2hb59NXTqlJ5vUf755/4sWRIMgI+PjXffrR6extKEIMDWrb4sWBCMp6eDqVPjaNOm5J8xk0lKZKQ4Ee/WLY2JExMKfL737vVi4sQwXF0F5s+/87q2ixddWb/en59+EpPfn38+nQEDxI3XgvDPP66MHx9OVJQrffpoGD48CVfX4r0Prl1TsnOnSJ7T0uQEBVl55RUtL7+svauJrU6X6yc/etQTs1mGu7udFi0yaNTIjMEg48iR3Al648YmnnlGR4cO+ioxKb512ng3hLCon7PbJaSlydi1S80ff3jg42PjhRfSadgw878paOE/d7upZ8ET1NIjhkXdfrvjLGoNVVkhEqZs0lQ48SuIWOn1MtLS5Dgc4O1tJyTEipubo8TEsihCV9D3i3t7UV+zCTQIHDjgxVdf+aJQCAwalELr1hl3/f8Wtr7XaMRzyf79Xpw44Ulmpuhbb9XKQNu2Blq1MtxVPlNJYLXC1q1+fPppIIIg4Z13kunXL9V5fS4EFULQJRKJDLgEdARigVPA64Ig/HPTfVYBfwiCsFwikTQCfhQEoXZRj+sk6CJSUuRMnBjOr7960r69jo8+isfHx44giH6Pm/uui9ORnf29zMyip9iuro58cvDCqru8vPKSbXf3sqvt+vNPNwYMqEubNnoWLoy5qw2LGzeUfPJJMIcPe1GrloWxYxMq7YQ6OVlOr171ANi69WqVCcPKrsobNiyJt95KqejDcaIcER8vStrPnRNT2j087Pzvf2rMZinNm2fQt6+GVq0y8p0r0tPFZPYvvvAFwGaT0rVrGh99FH/PT80Lw5UrLowbJ1qjevRI5YMPEks8hXQ4YNmyQD7/PJCmTY0sXBidY0mx22HZsiBWrw6gcWMT8+dHExxc8nNRfLyCTZvEXnuzWUbr1gYGDkzJSX6322HdOn8+/TQQX18706bF0qKFMec4CyN+RqOEgwe9+PFHH/76yx2ZTODJJ8VQt4cfFh+7YMJ26xQu7+0pKTL+/tud8+fduHHDBYdDgqennfvuy6RBg0xq1LAgkeR9PI1GxpUrrly96kJqqhi84ednpUaNLGrUsODhIZQJISyKwN5+Mlo1P2jZBPJW0lP0RPB2pOpWQngrSSyMcGVPJ4tLAG+dahZ9v7slondKVKXSwglkcaHXix7lLVv8cDjg9dfTeOutlHy5DVUF168rmTgxnHPn3Hn2WR0TJ8aXuX3PbJZw4oToWz90SAzilMsdPP64Kaf9oaz7xc+edWPq1DAuX3alTRux07wqbDpWJCqKoD8FfCQIwrP//Xs8gCAIs266z0ogShCEOf/df74gCC2Ketx7gaBbrWAwFJ0mnv39ixdduXFDiUwGbm4OzGZpkRdRiUTA07Mg73V+kp2XcDsqfW3Xhg1+zJsXUmL/yc1psi4uAu+8k0zv3mmVfufv4kUX+vWrS61aWaxfH1Xp6yoOHlQxbFhNnntOx5w5sU5ydQ8hW9KelSWlTp1MLlxwR6Fw8OKLuhyLyq3IzMxNZjcaxWT2d99NZssWP9atC+Ctt5IZNiy5An6bO8et8tW7l6Pm9zXe+tVikfDjj94cPuyFv7+V7t3TCAmxlViueuWKCydOeOLq6qBlSwMuLgInT3qQnCwm6zdsaAbudvoo/l9Wq5hLYjRKcTgkyOUCSqUDi0W8zslkIjHJJaJV72QikYgkRxAEBEGSM0HNlq26uDhQKPjvdy2ezLM05KrF/fnbTzMLJrBFTTsLIouCILBnjzebNvlhMsno0kVL//4avL3ttyXSzmtM1UBioljJuGuXD+7uDgYNSqF379QqaW2w2WD9enET0dvbzkcfxRMRUT5KQbtdzMHYv9+LAwe8uH5d7Ft/4IHcvIsHHii9vAudTsbChUFs3+5LcHAWkZEJtGtncH7uioGKIujdgecEQXjzv3/3BZoJgvDeTfcJAXYDasAD6CAIwu8FPNZgYDBASEhI0927d5fJMZcmLBYJWm3xEsXz3ibFbC462UahcOQhzhKJwKVLrphMUh591EREhB61Ov+k28vLjodH3tqu6gRBgOHDa3LkiCcbN17j4YeL5+1zOOD7731YtCgIjUZBly5aRoxIwt+/akyjQbQ9vP9+LZ5+2sCiRdGV9jW+fNmFPn3qUru2uJlQFS+81Rm38z+W1L+YlSXh66992bfPG4XCgdUqxdNTlP02b27A01PI93M2G5w9686hQ14YDDLq1s2kVSsDarU95/YDB7z49183nnwygwcfNJe6HLW4Psei5KpVXb56s/8x+6sggNksRRDI8UR6e2fXQt4d4SvodkEQU88vXHDFYpEBAnXrWmjePAMXl4IJqs0Gly65cv68O0lJYpd4w4ZmHnvMSJ06WYUS3sIIo90u8O+/bpw9684ff3ig1cqRSAQaNTLTrJmR5s0zCA21lkAem/f5TkxU/BcwJ6a7i93xFjp2FGXwDRve20FyWq2MZcsC+fprX9RqO8OHJ/Hyy9oyU+c5Uf64fNmFJUuCOHjQi8BAK0OGJNOli7ZK1spevOjCxInhXLzoRpcuWsaNSyh32fm1a0oOHvTiwAEVZ8+K55Tg4CwiIkQp/BNPGEs0iBIEsT1l/vxg9HoZfftqePfdlJzaUyduj8pM0Ef9dwzz/5ugrwEeEgSh0Fe3qkzQs6e5hcHTs+gJ9q1p4rfWdt0Kk0nKrFkhfPutmsaNTcyeHUONGveetESnk/Laa/URBPjqq6t4exctK/rrLzdmzQrhr7/cadzYRGRkQrGJfWXDtm2+zJwZSt++GsaOTazow8mH9HQZPXvWw2KR8MUXVwkKurMNkPzpq4URxYJTWe9kMllY+mnB08vKQwhv9/vdbmJbFQkkCIAEuVzMqSiMBBUlXy3JhPB2ctTbyVILIr5lLUc1maQsWxbIkSNePPywiQkT4gkNtRZ5fIWRwS1bfJkzJwRBgNdeE33pZUUcdTqxPm33bm/q1MlEoRC4dMkNX18bvXun8tpraXh7ixavM2fc2bFDze7d3mRmSnngATPduml54YX0O84nEf3komz02DFPTCYZbm7Z/eQGWrfOX59WmtBo5OzbJ5L106c9sNslhIVl0bGj7j9ZvvmeJesXLrgya1YIf/zhwYMPmpgwIYHGjavmtduJgnH6tDsLFwZz7pw7detmMnx4Em3bVr3JrNUqYfnyANasCSAw0Mq0aXE0b14xFYJpabL/+ta9+PVX0bfu6ZnXt16c82RUlNhpfvq02KwyeXIc99/vDPq9U1Rmift5RBIf89+/o4DmgiAUqlesKgT90iUXzp1zzycTF6fY9jLbCfz5Zy+mTg3D4YDJk+N58UVd2fxHlRh//eVGv351aNUqgyVLogs8maekyFm0KIjvvlPj729l5MgkXnop/a524Quq7yipjPTOSFcugfz+e29+/VXFCy+k06SJ6Zbbby+HLe7/m5ck3urTzC9Xtdsl3LihJDNTSnBwFkpl3p8v3rFUsavyfyiYEN4dKSt7OWrRstTiyGoTExV8842aCxfcAAk1a1ro2TOVxo3NyOW3/rz496goJevWBXD2rAchIVm89VYy7dsbinwurFYJ779fkxMnPJk/P4YOHfQV/ZJXamRPPWbODEEmg4kT7+w6YbXCggXBbN7sz2OPGVGrbezf782LL6bz8cdxpW6DOn7cg8mTw0lLkzF0aDIDB2qQSuH0aTH5/ehRFa6udho2zCQlRUFsrBIPDzsvvijWoz344J2FZ8bGKnKmTb//LpJif3/rf9MmPc2aGSvE6qXVyjhwQCTrJ054YLNJCQqy5kzWH33UVGmVU2UFQYD//c+bBQuCSUmpmuo3J4qGIMC+fV4sXhzE9esuPPaYkVGjEnn00aq3GXPunBsTJ4Zz/boLPXumMnJkYoVaEjMzs33rKg4e9PrPty7QtKkxx7ceGpp30Gc2S1i1KpD16/1wd3cwalQSr7ziVLCUFBVF0OWIIXHtgTjEkLhegiCcv+k+PwFfCoKwXiKRNAT2AWFCEQdVVQh6RSIuTkFkZDhnz3rQubOWCRMS8PBw5Jkq3k3dxp0Qy5IRvrtLX3U4JFy/ruTiRTfq1cskNNSac3t2p2RCggKHA/z9bfj5iRfzoqentz+OqkggCyKKdytHLYgQRkW5EB+v5MEHTYSFWYv1uMVJZa3o1Nbb317Rr3D5QhDg+HFPNmzw49dfVYCYtD57diwtWxYetBgbq2Dp0iB+/NEHHx8b77yTTI8exU9mN5kkDB5ch3/+ceWzz25U2HSiKiEmRsGECeJ14vnn05k0Kf62kxONRsaYMTU5fdqDPn00jBqViFwOq1cHsGRJEA8/bGLx4mgCAu6eIGVmSli0SKwVrVs3k9mzY2nYMJds2+3w66/ie+3kSc//1B8CjzxiYsyYBB55pHjEXBDENPhsv+bly2K6ev36mTmk/KGHzJXqs6zXSzl0yIvdu704ftyTrCwp/v5W2rfX06GDnscfN1ZJOXBJYTRKWbUqgI0bxfyYd99NplevVBSKij4yJ0oLVivs3Klm+fJANBoF7drpGT48kbp1K0+zTnGQmSlh8eIgNm/2p2ZNCzNmxFaKzQaHQ9xAyN6cjIoSz4P332/OOQ+mpsqZOTOUuDglnTtrGT06EV/fqhnkV1lQkTVrLwCLECvU1gqCMEMikUwFTguC8N1/ye2fA56IOsWxgiAUaTCvKgT95EkPfv7Z+65krEUR0OLIXbOypNhy1klVjzxCNpG6czmqVCqQlKTAaJRSu7YFlcpBRoaU+HglFosUHx+xd9PdPb9nsqwJX0mIYfEJoUBWloTRo2sSH69g2bIb3HefpdCfLw+p2Jdf+jJ9eigDB6YwalRS2f+HTpQ7MjMl/O9/Pmza5MfVq67I5Y6clPWJExMK7ZJOT5fx+ecBbNvmi1QK/fppGDhQUyKPnk4nZeDAusTGKli9+rpT7loM2GwiuV6xIpDAQCszZsTyxBMFV6P99ZcbI0bURK+X8eGHcbz0Ut6p+759KsaPD0elcrBkyY07nlzfjH//dSUyMpyrV13p1UucNGVbu+LjFXz7rZqdO31ITFSiVtvo3Dmd1q0NHDyoykl+b9nSwBtvaHjiCWO+81xWloRTpzw4cECUeiYnK5BKBR57TEw8btfOQI0aVWPhbzRKOXLEk927vTl6VIXZLF7f2rUTyXrz5iXzl1ZF3LihZM6cEI4cUVGnTiaRkQk56f5OVA+YTBI2bfJn3Tp/zGYxNHTIkOQq02CTjVOnPJg8OYyEBAUDBmgYOjS50OtkReDGDSUHD4oVbtlZGAAqlY0339TQp09qpTreqooKI+hlgapC0L/5Rs2nnwbe8fTvztJPby9HTU5WcOiQCpNJSrNmGTRtakIuL+5U9E59lbebat76uxZGOnOfi7shkHq9lB496mOxSKhXL5OTJ1XUrm1h3LgEWrWqnLVppYWkJLF+TSoV2Lo1qlQmWiXBqVMeDB5cm6eeymDp0hv3nASzukOjkfPFF7589ZUvWq2csDALqakKZDKBqVPjeOaZguXmmZkStm71Y/VqMZm9c+d0hg5NuqtqLhCtK/361cVgkLJ+/TXq13d64oqDc+fcGD8+nJgYJW+8IS4WbyZ1O3aomT49hMBAG4sWRfPAAwWT74sXXRg2rBZpaXKmTYvluefuzG5gt8OGDf4sXRqIWm1n2rQ4WrbMwGqVcOCAih071Bw/7glAixYZdO2qpW1bQ55j1elkfPmlL1u2+JGWJuehh0wMHKjhiScyOHZMleMnNxpFP3nLlhlERBh4+mlDmVchlTXMZgnHjqnYs0esWjIaZahUdiIiRLLeokVGsXviqzIOH/ZkzpwQoqNdaNdOz5gxCYSH33uZPNUZaWkyVq0K4MsvfZHLoW/fkm/uVhSMRilz5wazfbsv9etnMnNmXpVQRcNmEzvNly0LxGqVUquWhbg40aro4SGeO9u21dO6tQFv76rzvFcmOAn6PQ6dTsrHH4exZ483zZplMHNmbJXbbSwJDAYpM2eG8MMPPshkMGJEYpWoTSst/PuvK/361aFuXQtr114rd69TTIyC11+vh6+vjS1boqrUhdOJonHxoisbN/rx00/e2GwSWrc24OoqsHu3Nw0bmpk/P6bACaTdDv/7nw9LlwaSmKjk6af1jBiRRIMGpUekY2IU9O9fF4kENm6McvawFhMmk5Q5c4LZscOXhg3NzJ4dQ3i4ldmzQ/j6a19atDDwySextw3eTE2VMWpUTc6c8eDtt5MZMiS5WPLw+HgFEyeGc/q0Bx076pgyJZ60NDk7dqj5/nsf0tLkBAVZefllLa+8or3t65qZKWHjRj82b/ZHq5WTHSbo62ulbVsD7dpVnJ+8PGCxiP7S3btF6b7BIMPd3c7TTxvo2FFPq1aGSl/JeTfIyhJf/1WrArDbJQwcqGHQoBRnc0g1Q0yMkqVLA/npJ9EeNXhwCq+9llalpruHD3vy0UdhaLVy3n47mUGDUircnvHnn25MmxbKxYtutGplYMKEeGrUsGKxSDh50oP9+8VNQI1G3JAXfesGIiL0zs2wO4CToDuBIIj+ndmzQ3BxcTBtWly5dTKWNxwO2LXLh0WLgtFqZTz8sJlz59wZOTKRN97QVPThlSsOHRI7xyMiDCxYUH71a0ajlD596pKcLGfbtihq1qwaclEnCofDAUeOqNi0SfT8urk56NJFS8eOOhYuDObvv93p1SuV0aMTC1wcHT/uyYIFQVy86MaDD5oYNSqJJ58sG/np5csuDBhQBx8fOxs2XHOGRt0B9u1T8dFHYZjNUvz9bcTFKXnzzRTeey+p2OePrCwJ06eHsnOnmg4ddMyYEVsoGRQE+OEHb2bODEUQYPToRBQKgR071PzxhwdyuUBEhJ6uXbW0aJFR5DFk+8kPHBB9lJcuuQEQFJSF3S5Bo1GgVtvo1SuVnj3TyjSBvTLBaoXffvNkzx6RrKelyXF1ddCqlYEOHfS0aWPA07N6bqAmJspZuDCYH3/0ISQkiw8+SKRjR32VSwJ3omicP+/KwoXBnDzpSVhYFu+9l8QLL+gqVXZEUdDpZMyYEcJPP/nw4IMmZsyIo1698leA6XRSFi8O5ptv1AQE2IiMTKBDh4I/Lw4H/P23GwcOeHHwoIorV0TfeoMGmTkhc40aVa78jsoGJ0F3IgdRUUrGjavBv/+60bOnuJiuTpK3s2fdmD07hPPn3XnkERPjx8fTqFEmH3xQg337vFi79hpNmhTssayu2LLFl9mzQ+nfX8MHH5R9/ZrDkd1Hr2L58us89ZTTA1iVYTJJ+O47NVu2+HH9uguBgVZ6906lW7c0Tp8WE7YFAaZOjaNjx/yS5gsXxIXTr7+KC6fhw5N49tmyXzj9+acbb71Vhxo1LKxbd+2OK7buZezdq2Ls2BpYrVIaNTLz2WfX8fO7MzIrCLB5sx/z5gXToEEmS5dGExKSd7Ki00mZPj2Un3/24f77zdSrZ+HwYRUZGTJq17bQtauWTp20+PsX/n9braKffP9+MYk4KUn0kz/6qIl27fRERBioVSsLQRBrm9atC+DIERVubg66dUujb9/UfEnF1Rk2G5w548GePV7s2+dFSooChcJBixYZdOigp21bfbWUq/7+uzuzZoVw8aIbzZplEBmZ4LTAVDMIghgcuXBhEP/+68YDD5gZOTKJFi2qjqXxl1+8mD49FJNJyrBhSfTtm1ouBDd7o3TevBDS02X07p3K0KHJeHgU/1wQHa3MSYQ/c8Ydh0NCYKCVNm1yGzCqkrKhPOAk6E7kQVaWmI67aZM/9etnMnduTJW/UCUni7Vp33+vJiDAysiRibz0ki5n189gkPLaa/WwWKR8882VKu81vFPMnBnCtm1+TJ4cR48e2jL9vxYvDmL16gAiI+Pp3TutTP8vJ8oOSUlytm3z4+uv1ej1ch580ES/fql07KgDJCxYICbRPvigiblzY6hRIy/JiY8Xk9l/+MEHb28bb79d/tLD48c9GDq0Fg89ZGblyuvVWtJbGhAE2LrVl3nzQnL6tjdu9MfT08G0abE8/fSdL3SPHvVkzJgaKJUCixffyEksPnHCg/Hjw0lLk+PnZyMlRYGLi4NnntHRrZuWJk1MhU459XopR46IfvKjR7P95A6eekr0RD79tKHIdOFLl1zYsMGfH3/0QRDgued0DByo4f77K4//szzgcMCff7qzZ48Xe/d6kZCgRC4XePLJDDp21NOunb5apTTb7fDNN74sXRpIRoaMnj1TGTIk2bl5V83gcMCPP3qzbFkQcXFKmjfPYOTIRBo1qhqfb41Gzscfh3LwoBdNmxqZNi023/W1NBEVpWTGjFB++82Txo1NTJoUf9de+PR0GYcPqzh4UMXRo56YzaLFRvSti5kft7NL3QtwEnQnCsTRo55MnBiO0ShlzJhEevRIq3Kyr5t9ZjabhP79U3nrrRTc3fNfcP/5x5U+fery5JNGPvvsxj0lu7HZYNiwWhw/7smnn94osvLqbvDjj96MG1eDbt3S+PDD+Cr3fnJClApu2uTPL7+ILRTt2unp2zeVxx4TCVNsrIIxY2rw99/u9O6tYdSopDykW6cTk9m3bhWT2Xv3TmXQoJQKWwTv3u3FmDE1/gsqjL5nMijuFGazhGnTQvn+ezUREXpmzoxFpXJw+bILkZHhXLrkxmuviaqrO/XxRkUpef/9WiQkKBg/PoETJzzYvdsHiURAECQ88ICZbt20vPBCeqHvk/h4RU7q+u+/e2CzSfDzy+4nN9Cs2Z0HoCUmKti0yY9vvlFjMonJ7wMHanjyyfzJ79UdggDnz7uxZ4/YtR4T44JUKvD440Y6dNDTvr2+2mTXpKfLWLYskK+/9sXb287w4c4u5+qIrCwJX37py6pVAaSny3n++XTefz+pTMluaUEQRKvmnDkh2O3wwQeJvPqqtlTPS5mZEj7/PIC1a/1xcxMYMSKR7t1L/3OQ7Vs/eFCUwqekiL71Jk1yfetV4TUpCzgJuhOFQqORMWlSOMeOqWjbVs/HH8dViemyIMDBgyrmzg0mJsaFiAg9Y8cm3rYaJ7vya/jwRN58897yoxuNUvr3r0NsrJJNm6JKNZgLRC/SgAF1ePBBM6tXX3cSoSoEu138PG3c6M+ZMx64u9vp2lVLr16peS6c+/apmDw5HBAl7R065EraLRYJ27b5smpVIBkZUrp0SWfo0GSCgyv+wrtjh5oPPwzjuefSmT071tkmcAvi4hSMGFGTixddGTIkmcGDU/Is0iwWCUuWBLFxoz916oid5Hc6jbp2TcngwbVJTFQCoFA46Nw5nR490gp8LEEQ7RHZvbz//iv6yevUyaRtW1Ey2bhx6fgbdTopX3/ty+bNfqSmKmjUyMzAgSl07Ki/J98rggCXLrmye7c4WY+KckUiEW0DHTro6dhRn8+uUBVx4YIrs2eHcOaMBw8+aGL8+AQeecRZz1jdYDBIWbs2gM2b/bDZ4LXX0hg8OKVKqEMSEhRMnhzGyZOetGxp4OOP4wgKuvuNsqNHPZkxI5TYWCUvvZTO6NEJRVqJSgsOh7gRmL3Zmu1br18/17f+4IP3jm/dSdCdKBIOh+gVXLQoCLXazsyZsTRrVnl9w1FRLnzySTDHjqmoWzeTceMSi+0xEgQYOzac3bu9WbPmGo8/fm/50RMTxfo1uVysXyut8KzkZDmvvy4+7rZtV6vEhc8JcdPm22992LzZn9hYJaGhWfTqlUrXrto8qftWq4T584PYssWfhx4SJe3ZSa0OR24ye0KCklatDIwYkcj991cu28z69X7Mnx9Cjx6pTJqUcM9NSAvD8eMejB1bA4dDwuzZMUXK2H/91YNJk8JJS5Px3nvJDBigKZLA2u1w7Jgn27erOXjQC4dDkjM1b9HCwLx5MfneZ6dOueeEDiUmKpFIcvvJIyIM1K5ddoGTFouE77/3Yf16f27ccCE8PIsBAzR06aKtVlktd4qrV11yZPAXL4obJQ89ZKJjR5GsV5XO+IIgCKLya8GCYJKTFXTurGXkyCRnsGQ1RFKSnOXLA9m5U42bm4OBAzX07aup9NYnh0McLi1cGIxcLjBhQjwvvqgr0TUsKUnOJ5+EsHu3N7VrW5g0Kb5C1/sxMdm+dRW//+6Rx7ceEVG9mzbASdCdKCYuXHBl7Nga3LiR3YWbVOFVDzdDr5eyYkUg27b54ebm4N13k+nZM/WOjzEjQ0rPnvUwmaR8/fWVOw4/quo4f96VgQPrUq9eJmvXXrvr2pnMTAlvvFGHK1dc2LQpqtIRMyfyIyFBwdatvmzf7ovBIOORR0z066ehXTs9cnne+8bEiJL28+fd6dNHlLRnqyOOH/dg4cJg/v3XjYYNzYwenVipN/cWLQpizZoA3normWHDkiv6cCoUggBr1/qzZEkQdetaWLw4ulhtC+npMqZODWXPHm8ef9zIzJmx+aapcXEKdu5U8+23apKSFMjlDmw2Kc2bi1Vte/Z4MWtWKDVrWpg9O4br1105cEDFkSNiQJyra66fvE2bov3kZQG7HQ4c8GLdOn/OnXPH19fG66/fW8nvhSE6WplD1v/+2x2A++8355D1unWr5vnfaJTy+ecBbNjgh4uLwLvvJtOr171Ty3ovISrKhcWLg9i/3wt/fyvvvptM167afNe+yoYbN5RMmhTG2bMedOigY/Lk+GKfG202keQvXRqE1Sph8OAUBg7UVKrQtvR02X/ZIiqOHfPEZJLh5manVasMIiJE33p1O/86CboTxYbJJOGTT0LYvt2Xhx82MWdObIXvjtvt8O23apYsCUKrldG1q5b330+6K2L977+u9O5dl6ZNTSxffv2ekzHu369ixIiadOigZ968mBLLiQQBJkwI54cffFi06Abt21fP6r7qgj//dGPTJn/27vUCoGNHHX37ptK4ccGyzr17vZgyJQyAadNic17ff/91ZcGC3GT2YcOSeO65yl9pI6bNh/LNN76MHp3AgAGpFX1IFQKjUcrkyWHs2ePNs8/qmDo1rsDcjsKQ7Y+cNSsEmQwmTYqnQwc9+/er2LHDlxMnPACxbic6WolEAuPHJ/Dyy+lIJOIG0fr1fnz1lSg5FfvJbTlpv82bZ1SKvmpBgDNn3Fm3zp9Dh7xwc3PQtauY/H67HvZ7AfHxCvbuFT3rZ8+Kr3ndupk5ZP2++zKrnFLlxg0lc+aEcOSIijp1MomMLL5Cz4mqhT/+cGfBgiDOnvWgdm0LI0Yk0q6doVK/Z+122LjRn6VLA1GpHEyZEnfbdddff4md5hcuuNGypYGJExMqfF1/O1gsEn77zYODB8VU+ORk0bf+2GMmIiL0tGtnqPS/Q3HgJOhO3DF27/bio4/CcDhg4sR4OnXSVchx/PGHWI1y4YIbjz1mJDIyodSSOL/+Ws3UqWEMHZrEO++klMpjViVs3OjH3LkhDByYwqhRSSV6jLVr/Vm4MJj33kvi7bfvveewKsBmg337vNi4UZwGqlR2undP4/XX0wr1kWZliSntt0ra4+MVLFsWyA8/+ODlZWfw4BR69izfZPa7hd0O48bV4JdfvPn44zi6di3bVoPKhuvXlYwYUZNr11wYOTKR/v1TS7wgjYlRMmJEDS5dckOpdJCVJSUkJIvnn08nKsqFgwe9efRRIzNmxGIyyXJ8hxcuiDLpsDALRqMMvV7GuHEJ9OpVeVsfLl92Yf363OT3Z58Vk98feKBqJEOXNZKT5ezbJ5L1bKlqzZqWHM/6gw+aKzXxuRWHD3syZ04I0dEutG2rZ8yYhHs2yKo6IzvPaNGiIKKiXHnkEROjRiVW+jrey5ddmDgxnAsX3OjcWcu4cQn5Ajb1eilLlgTx1Ve++PvbGDcugWeeKbjTvDLD4YB//nHLqdK8fFn0rderl5tH8tBDVdO37iToTpQICQkKIiPDOXPGgxdfTGfSpHg8PcsniTkpSc7ChcH8738+BAZaGTUqkRdeKJnnpjAIAkRGhvPzz958/vl1nnyy8kpzywKCADNmhPDll358+GEc3bvfGVE5dEjF++/X5Jln9MydG1PlTvrVHQaDlB071Gzd6kd8vJIaNSz07p3KK6+kFzktjYlR8MEHNfnnH7ccSbvJJGHNmgC2bPEDoE+fik1mv1tYrRLef78mv/7qyfz5MXnC7qozDh5UMX58OHK5wNy5MTRvXrJznskk4ZdfvNmxQ83Zsx5IpQIOB/j62hg0KIWNGwPQaOS89FI6rq4ODh9WkZCgzAkaE5PX9dSpk0VGhpTIyHAOHfLitddSGTcuoVJZq25FYqKczZv9+fprMfm9RQsx+b1Zs3sv+b0wpKbK2L9flMH/9psnNpuE0NAs2rfX88wzulIL9ytr3NwSY7dLGDBAw5tvplQKdYcTpQubDXbtUvPZZ4EkJyuIiNAzYkQS9epVXsuG1Sph1aoAPv88AD8/G9OmxdGiRUZOrsLcucFotXJefz2V995LLrf1e1kjNlaRkwh/+rQHdrsEf//svvWSNXpUFJwE3YkSw26Hzz8PYMWKQIKDrXzySUyhctjSgMUiYdOm3Ati//7iBbGsQjxMJrEfPSND9KOXR4plZYLNBu+9V4sTJzxZvvw6Tz1VvAX7lSsu9OlTl5o1s9iwIcq5YKlEiIlRsGWLHzt3igSiaVMj/fppaNPGcFsrx549oqRdIhEl7a1aZfDFF2JNjcEgo1OndN57L7laJDibTBLefrs258+78emnN4r93q+KcDhg+fJAVqwIpFEjMwsXRhMaemevYXYN1/btan76yRujUUbt2ha6dUujU6d0rl93YejQWhiNUhQKAYVCwGQS/eTNm2fQrp2e1q0NBZ5j7XZYvDiIdesCePLJDObPj6n0XkO9XspXX+UmvzdsaOaNN1Lo0CF/jsO9DJ1OVE7s3evF8eOeWK1SAgOttG8vTtabNDFWeotZUpKcBQuC+fFHH4KDsxg9OpFnn616k0gnbg+zWcKWLX6sWROAySS2kQwZkkRwcOUNDTx/3pUJE8KJinLl+efTSUmR/5+98w5vsu7C8J3ZkdG9W7YCDhQUURBkqjhQpsgeyseUKRtE9t6Iiy1DtqCoFFmCiCBDZUOheyVNm6RN24z3++O1QGUV6EhL7uvyEmhoQ5u87++c85zn4fhxNU8+mcW4cQk8+WTZVflkZEj59Vdxsn7okJrMTBkffZTMhx+WDkWnq0B38dCcOuXBiBERJCcr6NcvhR49Ugv1pioI4l707NkhxMUpadIkg6FDk4pFUnbhghsdO1bm2Wez+OKLR28f3WyW0qVLpX8zgaPu2THOyJDx/vuVyMqSsmFDlFPEaD3q5O3Krlnjx969WmQyUYLbpYuuQCshubkS5swJZt06v3+9J2I5fdqTRYuCSEhQUq+eicGDnc+Z/WHJyJDSo0dFYmOVfP31tSJtPpYURqOUUaPCOXhQyzvvGBg7NuG+pgsZGVJ++MGbrVt9uHDBA3d3B6++mkHr1gZq1swiOVnOxo2+rF3rR1bWjYunt7eNvn2Teffd9AI38Hbu9OaTT0IJCrKxeHG0U0+v8sjJkfD996Lz+7VrboSF5dK1q4533zW4Gpf/wWyWcuCAhshILYcOacjJkeLra6NxY7FYr13b7NTqiT//FFfuLlzw4IUXzIwcmVjocaUunIP0dBlffhnAhg2+SKXQsaNzq8YyMqT061eB06c9kEigc2c9Q4YkPVLn2dxcCcePq6hYMafUDBFcBbqLQsFolDJpUig//eTNCy+YmTo1rlDyGK9ccWPGjBCOHFFTpUo2I0YkPrD08kHJy0nu0yeFvn0fPXfnxEQFHTpUws1N4JtvrtxRSWC1Qp8+FThxwpPly6/y7LNlr6ApTVitsHu3F2vW+HHmjCdeXjbatjXQvr2+wO/NmyXtnTvreOklE4sWBXPunOjMPnhwUpmeLut0crp0qUhGhoyVK6+WqQP3pUtuDBpUjoQEBSNHJtGuXVqBpn6CAMePq9iyxYfISC25uVKqV7fQpk0ar7+eQWKikr178++TS6UCjRoZ6dJFj04nZ+LEUHJzpQwblkjbtoYCTxtPnfJg0KByZGdLmTnz7rFvzoTDAfv2aVi+PIC//vLEx0d0fn//fZfz++3IypJw6JBYrB88qCErS4ZWa6NRIxPNmhl56SWzU3pb2O2webMvixYFYjbLeO+9NPr2TcbLyzkLNxcPR3y8gsWLg/jhBy80mhu+K84U/fXbb2qmTBH9El580URMjBuJiQq6dtXRv3+KUz1XF/lxFeguCo08996pU0NQKgU+/fTeDpJ3wmiUsnSpGJvm6emgX79k3nsvrUTkgYIAY8aE8f333nzxRcGl3mWJM2fc6datEo8/ns2yZVdvO2WbMiWEDRv8mDw5jnfeSS/+J+kCEFUMmzb5sH69HykpCipUyKFzZx1vv13waSWIZpCffCJK2vv0SeHwYTWHD2sIDc1lwIBk3njD+Z3ZC4O4OAVdu1ZCEGD16qjrGe+lmZ9+EtcVVCoHc+fGUrPmvU2PdDo527d7s22bDzExbmg0dt58M50WLQzXTd7279cSHy/uk6tUDsxmGS+8YGbWrNh8kT/JyXLGjg3n99/VNGxo5NNP4wscCZSUpOCjj8px/rw7Q4Y8nJFdcSMIornpihX+7N8vOr+3bGmgSxedy/n9DmRnS/jtNzV79mjZv1+LySRDpbLzyitisV6vnsnp1Ajp6TIWLw5k0yZfvLzsDByYzLvvGh6pieWjxPnz7syfH8ThwxpCQnLp3z+FN99ML9Gfd2qqnFmzgvnxR2/Kl89hzJgEXnopk6wsKXPmBLFxox+VK2czZUpcmZa5l2ZcBbqLQufaNSUjRkRw9qwH7drp+fjjpALLJu12cWK9aFEQ6eky2rQx0L9/crFn3f6XrCwJ779fmfR0OZs3XyYgwHl3joqKX37RMHhwOZo1E43fbi7ONm70YdKkMLp21TFsWFLJPclHmGvXlHzzjR87dvhgsUipU8dMly46Xn7ZfF+FdG6uhNmzg1m/3o9q1SyEh+fyyy9ap50QFAeXL7vRrVtFNBoHq1dHldr3v80GCxeK+9zPPpvJ3Lmxd/232O1w+LCaLVt8OXBAg90u4bnnMnnrrXTc3BwcPqzh11/VGI1ylEoxn9zf38ZPP3nhcMDIkUm0bHn7CbnDAWvX+jFvXhBarZ2JE+MLPBHPypIwdmw4kZFetGhh4JNPEpxyono3rlwRnd+//94LQZDw6qui83v16q7D8p2wWiUcPaoiMlLL3r1a0tPleHg4ePllE6++mkH9+mZUKueZVp8/7860aSGcOKHiiScsjBqV4FKWlWF+/13FvHnBnD3rweOPWxg0KJmXXzYXawPRbr+RaZ6TI+HDD1Pp0UN3yz378GE148eHodfL6dUrlQ8/THHqFZKHRRBEDwGpFJdJXEngKtCdB6tVwqJFgaxYEUDlytnMnBnL44/fXR564oQn06eLsWm1aomxac50WLl82Y0OHSrz1FNZfPnltUfS7GfVKj9mzw7hgw9SGThQjF87dsyTXr0qUqeOmSVLol1TgmJEEODYMRWrV/tx8KAGuVzgjTfE/PKqVe//vRMbq2To0AjOnfPgySezuHjRHYnkxo7doyzV/PtvD3r2rEB4uJUVK6JK3ffCYJDx8ccRHD2q/tcRPQmF4vb3+Ph4BVu3+rB9uw8pKQp8fW00a5aBn5+N06c9+eMPFVarFG9vGw0aiO64Tz2Vybx5Ieza5U2NGllMmxZHuXL3zqK9eNGNESMiuHzZnfbt9QwdWrCGrsMBX3wRwGefBfHMM1nMnx+Dv3/pa5wkJ8tZu9aPjRt9ycyU8dJLZrp3T+XFF13O73fDZhNXLfbsER3h9XoFSqWDevXMNGtm5JVXjE6xEywI8OOPXsyZE0xKioIWLQwMHpxcKl+rLu6NwyGqzxYsCCYuTskLL5gZMiSpWKbUZ864M3FiGGfPevDii2bGjk2gfPk7X4MzMqTMmBHCzp0+VK9uYerUOKpUcc41LrsdzGYZJpMUk0n273/ir/P+3Gi88WuzWfbv7288xmaTMGpUglNHdt6Mq0B3UaT89puKMWPCMRplDB2axPvv37rnmJQkuqD++KM3QUFWhg5N4vXXCzc2rbD47jtvxo4Np1evFAYMePT20QUBJk0KZdMmXyZOjKN27Uzef78y3t521q694hQHokeB3FwJP/4o7pdfuOCBr6+Ndu3SeO+9tAc++O3eLcqe7XYJUqmAxSItU87shcGRIyr69SvPE09k8+WXV4ssQaKwOXvWncGDy6HTyRk7NoGWLdNveUxuroS9ezVs3erL77+rkEjg2WezCAqyEhOj5MwZTwAiInKu58s++2wWcrnYJBo9OozUVAX/+18KH36Yel8NzJwcCfPnB/HNN/5UqpTN9OlxBW7O7t6tZcyYcLy9bSxcGONUTd37wWiUsmmT6Pyu04nO792762jWLOORbAbfD3Y7nDrlSWSklj17vEhOViCXO3jxxUyaNTPSqJERH5+SVuFJ+fLLAFav9kOpFOjdO4WOHdPu2CRzUbqxWiVs3OjDF18EYjDIee21DD76KLlATcv7xWSSsmhREBs2+OLnZ2P48Ps7Q+/Zo2XSpFBMJikDBqTQpYuu0I2ec3IktymsxaL65iI77zF5hXXe4282Gb0Tnp52NBoHGo39+n9qtfh7rVb89YsvmgtkjusMuAp0F0VOWpqMcePCOHhQyyuvGJk4Udw3zM6WsGqVP8uWBWC3Q/fuOnr0KLrYtMJi7Ngwduzw5vPPo6lbt3SYFBUmVqsYv3b0qJqgICsmk4x1665QoULh33hc5CctTcbGjb58+60vOp2CKlWy6dxZz5tvpj+w7DwnR8KsWcF8+60fCoUDq1VK3bomBg9Oplq10nEjK0727NEydGgEL75oZvHiGKc/YO/Y4c3EiaH4+NiYPz/mlknO5ctubN3qw86d3qSny/HzsxEWlkNysoLkZCUANWrcyCevXDnn+sEvN1fC4sWBrFzpT7lyuUybFsfTTz+4hPe339SMHRuGwSBjwIAUunXTFWg94+xZdz76qDxGo4wpU+Jo1qz0Ztfn5orO7ytW3HB+79JFdH539nujM+BwwD//eBAZqSUy0ov4eCUymcDzz4vFepMmxhKdXkdHK5k5M5iDB7VUqJDDqFGJj+Q54lHBbJaycqU/q1f7Y7VKaNMmjd69U/Dze/iGkSDAzz9rmTEjBL1eTvv2aQwYkIxGc/+DEr1exqRJofzyixc1a2YyeXL89WaCwyH+O8Qi+u5T7Nv9udEoxWa7+4VcLhdQq28U1Vpt/gJb/M/x75/Z0Wod1x+f97iypt50FeguigVBgHXrfJk7Nxit1k6bNmns3OlDfLySZs3E2LTSYpJjsUjo0KEyer2cTZsuF4pbfWkjI0PKa69VJTNTyqefJtCqlaGkn1KZ5soVN9as8eP7773JyZFSr56JLl30vPTSw+23xcQo6dOnPDExbgBUrWphyJAk6tZ99IwQ74dt27wZPz6c117LYMaMWKc8GFitEmbODGbDBr9bjNqysqT8/LOWLVt8OX3aE5lMIDDQSkaGjKwsGUqlgzp1MmnUyEjDhqbb7qlfuuTGqFHhXLjgQZs2aXz8cWKhFJAGg4xPPxUPirVrm5k6Nb5AcY06nZyBA8vx11+e9O2bTO/eqU6pwiooec7vK1YEcPq0J97eNt5/P43339eX+DS4tCAIcO6cO3v2iMX6tWtuSCQCNWtm0ayZkaZNM0osw/rgQTUzZoju2o0aGfn448RiiY51UTLodHKWLg1gyxZf3NwcdOumo2tXPZ6eD6Y6jIlRMnlyKEeOqKle3cInn8TfUUafmyvBaLy5wL51ip0nCb9yxY1Ll9xxOECjseNwSMjMlCIId7+Yenjkn17/t7AWi+rb/7lG48DDw1Gqr9dFgatAd1GsREZqGD06nOxsGd7eNqZPj6NevdLXPY6KcqN9+0pUry66mj9qEsSFCwP56qtAPD3t+PjYWbfuSokb+ZU1BAGOHFGzerUfhw9rcHNz8NZb6XTurC+UDOgVK/xYsCAYu12Cj4+Vjz9O4s03Hw1n9sIgz4+hTZs0xo9PcKrDhU4nZ+jQCE6cUNG1q45Bg8TM2zNnPNiyxYddu7zIypLh4WEnJ0eCwyHFy+vGPnm9euY7HhzzzN3mzw9CrXbw6afxNGz4YGkdd0IQYPt2b6ZNC0Euh/Hj43n99XtPxXNyJEycGMqOHT689loGkybFOZ3D94Nw8qQny5eLzu/u7g7efVd0fncVdAVHEES1SGSkF5GRWi5fdgdEdUizZhk0bWos9oSG3FwJq1f78eWXAdjtErp10/HBB6ll4jXr4vZcu6Zk4cIgIiO98POz0qdPKq1apd3RoM3hEBuqeZNog0HO1q3e/PyzFzIZvPiimYoVczCb7zzFzs29+01dKhWuF8oajR03NwexsW6kpckJDs6laVMjISHWO06x1Wp7mTaYKylcBbqLYiEjQ8pnnwXx7be+qFR2KlfO4eRJFU8+mcWMGXF3NbJwVnbu9GL06Ih8hmmPAj/9pOXjj8vRqlUarVoZ6NmzItWrW/j662uPnLt3UZCTI0pcv/nGj8uX3fH3t9K+fRrt2qUVyuQsJkZBv37luXbNHalU4IMPUujV61aXVxf3Jq9R1bNnKoMGOcc14NQpD4YMKYfZLOPTT+OpW9fM9997sWGD3/UJYt40JCwsl8aNxR3dmjWz7tloTEoS49GOHhXj0SZMiC8UqeadiIlRMmpUOH/95cnbbxsYPToRtfruEydBgJUr/Zk3L4hq1bJZuDC6xKakhU1UlOj8vnOnFw6H6PzerZvOFZP0AFy9qmTPHrFYP3fOA4Dq1S00a2akWbOMYl3ZSk4WfXh27fImODiXoUOTeO01o1M1/Vw8GFar5Lpp2c3F89mz7vz0kxdxcW5oNDaqVs1GrXbcYnKWmSnF4bj7C8HN7XYy8NtNqm8tsDUaO56et06vBQE2bfJh9uxgZDIYOTKRFi3SXa/JYsRVoLsoUux22LJFjE0zGmW0bZtGv34p+PjY+eUXDZ98EkZuroQxY0rnm3/ChFC2bPHls8+uUb9+6VMC3C9nzrjTtWslnnhCLMiVSoHdu7UMHVqO5s3TmT49zjWBfUB0Ohnffiu6Oaelyala1ULnznqaN88olAgpo1HKvHnBbNnigyBIeOqpLBYvji7SAqusIwgweXIIGzf6MXhwEj166Er0uWza5MO0aSEEBdno0SOFyEgv/vhDne+AV716Fk2bivvkVarkFPia+9NPopGQ1Spl+PBEWre+fXxaYWO1wpdfBvLllwGEhFiZOjWOWrXundt+4ICGESPC8fBwsGBBDDVqlJ14qzzn902bfDGbZdSpY6ZHD91Dr7w8qsTGKvjlF1EG/9dfohlilSrZvPqqOFm/n/fJw3DihCfTpoVw/rwHtWubGTky8Z7pNy6Kjrxorts7hd9qanazi3je37FY7n4gkkgEJBJwOCS4uzsoVy6H0FBrviJbKhVj0f7+25OAgFx69NBRv775+tS7KCMmY2MVjB0bzokTKho1MjJ+fDz+/q4zQ3HgKtBdFBnHj4uxaRcuePDcc5mMGpV4S/RTUpKcUaMiOH5cRfPm6Ywbl/BABhclRXa2uI+emipn06YrBdqVLK3odHLee68yMpnA+vVX8hV2y5b5M39+8CPrbv8wXLzoxpo1/vzwgxdWq5RXXjHSpYue2rULJ2YpN1fyby5qIBaLDIXCwdixCbRqlf7wn9wFdjuMGhXOjz9688kn8bRpU/x+DDk5EqZMCWXbNh8CAqxkZt5wvZVKBWrUyOLtt9Np2NBEYOD9TZNNJilTp4by/ffePP20GJ9WEoqnU6c8GDUqgoQEBT17ptKnz71zey9fdmPAgPKkpMiZMCGet9/OKJ4nW0yYTDec31NTFVStKjq/v/aay/n9QUlKUvDLLxp27/bi5ElPBEFChQo5NGuWQbNmRqpVyy7SYj1vqLFwYRAmk4z33kujX7/kUhfr6AzYbJCZKfvP/vXNEvD8u9g3/3ne7+32u/+wFQrHbWXfd963zj/JVqkcCALs3OnN4sVBJCcraNDAyMCByVSunMPmzb4sWBBEdraEnj119OyZWuw53nY7fPONHwsXBqFSORg3LqFUG3GWFlwFuotCJzFRwZw5wfz8s1eB5Fp2OyxfHsCSJYEEB1uZPj2WZ58tPdOOq1eVtG9fmccfz2b58qtlchcnJ0dCjx4VuXTJndWro25x9xYEUU2wdasvkyfH8c476SXzREsJDgccOqRm9Wp/jh5V4+HhoEULA5066QtNWulwwE8/ebFgQRAJCaIb9+OPW1i8OMYVm1bIWK0SPvqoHIcPq5k1K5bXXiu+w8vff7vTv3950tIUgABIkMkcPP20hfbt02jY0IRK9WCH++PHPRk9OpyUFAW9eqXy4Yf3LoqLksxMKdOmhfDddz489VQW06ffu1lgMMgYMqQcx4+r6NFDXEcqayqf3FwJP/zgxYoV/ly96k5oqOj83rKly/n9YdDp5OzdKxbrx4+rsNslhIXlXi/Wn37aUmTFenq6jMWLA9m0yRet1s5HHyXTqpXBKQ0pi4K8aK683euCTrEfJJrrZtfw20Vz3clFXNzXLrz3V3a2hPXr/fjqqwBMJine3nbS0+XUqWNmzJgEKlYs2VXQK1fcGD06nLNnPXjjjXRGj05wNY6KEFeB7qLQyM6WsGKFP8uXByAI0KOHju7dC254cvq0ByNGRJCUpKBPnxQ++CC11NyMdu3yYsSICLp3T2XIEOfYRS0sBCEvWs6HuXNj7tg5tVqhT58K/PmnJ19+GU3t2i4n8P9isUjYudObNWvECKXAQCsdOuhp08aAl1fhycb++EPFnDnBnD3rgZubg5wcKd27pzJgQHKZbCA5AxaLhN69K/DXXx4sWRJTZNFJgiDuIm/f7s327T6kp4ujUolE4IknLHTsqOf11zMe6udstYrxaStW+BMeLsanPfOM8zRNd+/W8umnBZfbW60Spk0LYdMmXxo2NDJ9etwDNy2cGYcDDh7UsHy5PydPqvDyuuH87jLxfDgMBhn79mmJjNTy++8qbDYpQUHW6wZzzz6bVSTnlfPn3Zk2LYQTJ1RUr25h9OiEUjHAyIvmujlqqyBF9c2PsVoLHs2VP/86/8513q9LQzSX2Sxl7txgNm/2QRBAJhPo1EnPhx/qCvWM8KBYrfD11wF8+WUgvr42JkyIfyTWO0sCV4Hu4qERBIiM1DJnTjAJCUpefVWMTQsNvf8pnckkZfLkUHbt8ua55zKZPj2u1MjGJ04MZdMmXxYvjuaVVwrX1bgkWbnSjzlzQujbN5k+fVLv+lijUUrnzpXQ6eR8801UiXd8nYWUFDnr1/uxaZMPGRlynnwyi86d9bz66sMVUv/l0iU35s0L5tdfNXh52bBYpHh4OJg6NY4GDVw30aLGaJTSo0dFYmLc+PLLq4V2kLbb4dQpT/bs0fLjj17o9XkvGgG5XKBrVx19+6agVD7817pyxY2RI8M5f96D1q3TGD486YGjgIqSmw3rGjcWDevuZqIoCLBhgy8zZoRQsWIOCxdGl2kX9FOnPFixIoC9e7W4uYnO71276omIcF2THxajUcqBA1p279by229qcnOl+PtbadLESNOmRp5/PrNQVwwEAX780Ys5c4JJSVHw9tsGBg9Ovm38YWGRkyO5bcb17abYefvXNxfcBYvmujGRzl9gF2yK7eEhlBnPhbxz9IwZIaSmymnXTjSGXb3anx07vFGrHXzwQSodOuiLXeJ+O86edWfMmHAuX3andes0Pv44qUw2PUsSV4Hu4qG4eNGNGTNC+OMPNY8/bmHkyKRCmZzu3OnN5MkhyOUCn36aQNOmzr/vkpMjoVOnSiQmKti06UqZkBEfPKimf//yNG1qZPbs2AJJQ+PiFHTsWBmVys7atVGPdGbvmTPurFnjz88/e+FwQOPGRjp31lOzZlahHiySkuQsWRLEd995o1I5qFgxh7//9uTZZzOZNav0NLnKAjqdjK5dK5GeLmPFiqsPbPKUlSXhyBE1e/dq2bdPg8kkJ0/CrlA4sFqlvPyykdmzC2ca7HDA+vW+zJsXjErlYMKEeBo1cu5Go8MBa9b4sWBBEF5ediZPjr9nbOeRIyqGDi2HTCYwd24MtWvf23CuNBMVpWTVKn927vTGbpfQrJmR7t1TXc7vhURmppRff1Wze7cXhw5psFikeHvbaNxYLNZffDEThaJwztJZWVK+/tqflSv9USgEevdOpVMn/S2f/7/RXPeaYuefZN9/NJdYRN8979oVzXVnYmOVTJkSwuHDGqpVszBuXEI+U8uLF92YP19svAcFWenXL5kWLdJLfPqfkyNhyZJAVq70JzTUyqRJcWX+elqcuAp0Fw9ERoa4H7Vxoy8ajZ3+/VNo0yatULvGMTFKRowI559/PGndOo0RIxKdPh80JkZJu3aVqVw5h5UrrxbajbkkiIpyo2PHSoSH57JqVdR97TKeOuVBz54VeeopC199da1IXUadDbsd9u/XsGaNP3/+qcLT006rVgY6dNAX+sTOZJKyfHkAa9b44XDAm2+m888/nly+7E6PHqn07++StJcE8fEKunSphMMBq1dHFfjnrtPJOHBALMiPHBEnc1KpgMMhQSYTqFPHTHS0kvh4JQMHJtOzp65QGj0pKeI0+sgRNQ0aGPn009Ll1HvhgjsjR4rTnI4ddQwalHzXKVN0tJL+/csTF6dk9OgE2rYtfmO/4iYlRXR+37jxhvN79+466tZ1Ob8XFhaLhMOHNURGajlwQENmpgyNxk7DhmKxXreuuUDTzztFc+VNquPjlRw8qCY+3g0PDzvh4VZkMgGTqeDRXO7ut4veulFg55eG31pw3y6ay8X9kZsrYeVKf778MgCZTGDAgBTat9ff8Rx97JiKefOC+PtvT6pUyWbQoGQaNDCV+M/h5ElPxowJIy5OSadOej766O7XXxcFw1Wgu7gvbDbYvNmXxYsDMZlktGuXRv/+KUW2G2O1ih265cv9qVAhh1mz4m5xgnc28nLCu3TR8fHHSSX9dB6IjAwpHTpUxmyWsWHDg6kB8r4Pb7whxq+V9E2kqMnKkrJtmzdr1/oRG+tGSEguHTvqadXKUOjJBFarhI0bffj880DS0+W8+WY6Tz2VxaJFQSiVAlOmuCTtJc2VK2507VoRtdrB6tVRt3VPFwS4etWNvXs17N+v5fRpD0CCp6ed3FwJNpuUihWzad3aQGCglUmTwpBIBGbOjLvnpLig7N6tZeLEUHJzpQwblkjbtsUTn1bYZGdLmD8/iLVr/alSJZvp02OpWvXO6gWjUcrw4REcPqyhQwc9H3+c+Eg4n5vNUjZv9mHNGn9SUkTn927dROd3VzPv4RGjuaSkpck4dEjDwYNqjh9XXU/QqFAhh/BwK97e4grS7favs7PvHc2lVjtQKITru9p+flaeecZCcLD1tkX2f6fYpXl4UBb44w8VkyaFcu2aG6++msHw4YkEBd17ZSFPCr9wYRDR0W4891wmgwcnlbhHSFaWhLlzg/n2Wz8qVsxm6tR4nnrK+b0SnBlXge6iwBw7pmL69GAuXvTghRfMjBhRfBmdv/+uYvTocNLTZQwenEynTnqnPkROnhzCt9/6sWBBNI0bO7dM9L/YbKLZ2/Hjnixffo2aNR9csvTVVwEsXBhEnz4p9O1bNuPXkpIUrFvny+bNvphMMp55JovOnXU0aWIs9AO/IMDPP2tZsCCYuDgldeqY6dcvmR07fNi82ZeaNTOZOdMlaXcW/v7bgw8+qEBoqJWVK6/i5WXHbofTpz3Zt0/Dvn1aoqPdAAgKysVqlZCWpsDd3cHrr2fQunUaTz9tYdmyABYvDuTxx7OZNy+mUJQYZrPoiL5jh+iIPm1aXKElCJQkhw+rGTs2jIwMGQMHJtO5s/6Oqzk2G8ydG8yaNf689JKZWbNiHhlXYqv1hvN7VJQ7ISG5dOmip1WrtEfa+d1m446T6//Kwx80mktEwNPTga+vjZAQK97ed5aD/9cETaVyXH9N5+ZK+OYbP774IgCrVUK3bjo++CD1kf4ZOjN6vYw5c4LZudOHsLBcxoxJeCCTNasVtm71ZenSAPR6Bc2aZTBgQHKJ+/789puK8ePD0enk9OyZSu/eqa5m0APiKtBd3JPERAWzZweze7cXoaG5DBuWRNOmd45NKyoMBhnjx4exf7+Wl182MXlyXL4sbmciN1fcR4+LU7Jp02XCwkpPwTR9ejBr1/ozcWIcLVumP9TnEgQYNy6M777zYerU2DKVQ/zXXx6sWeNHZKQXAE2bGuncWVdknexjxzyZOzeYf/7x5LHHshkyJInQ0Fw+/jiCixc96NkzlX79XJJ2Z+PoURV9+pQnLMzKU09l8dtvGtLS5MhkjutxhRcvumO1SnnqqSxatTLQvHkGarUDs1nKmDHh7N2r5Y030pkwIb5Q1nz+/NOTMWPCSUwU49N69SrZ+LTCxmCQMWFCGHv3aqlTx8yUKXF3nU5t2+bNxImhhIVZWbQousQPucVJnvP7ihX+nDghOr+3by86vzvr/fVO5EVz3S7j+oaJ2X9NzvJ2tcVfWyz3XuxVqf4r+b6zi/h/i2xPTztnzngSGallzx4tqakKFAoHdeuaadrUSKNGpgdSJKakyJk3L5jvv/cmKMjKsGGJd423dVG8OBywebMP8+cHY7FI6N5dR69eD59pnpUlZdUqP1au9CcnR0rr1mn07p1apAaC98JolDJjhtj8rVbNwpQpccU2zCtLuAp0F3fEYpGwYkUAy5f7I5FAz56pdOumK9HdEkGAb7/1ZdasYDQaO1Om3NsUqKSIjVXQrl0VKlbMYdWq0rGPvmWLDxMmhNGpk44RIwpHnm+1SujduzwnT3ry1VfXeO650msiYrPB3r1aVq/25/RpT9RqO61bi/vlD5JaUBAuX3Zj/vwgDhzQEhRkZcCAZN56K52ffvJi4sRQlEqBqVPjXFEnToZef2Of/NAhNTabFJlMoF49I56eAn/95UlCghKNxs5bb6XTurUh3/pOVJSSQYPKERPjxtChSYWiGrJaJXz2WSDLlonxaVOnxpWKyKYHQRBg61YfZswIQaFw8MknCbz66p3NRk+c8GTw4HJYrRJmzYp12vtKUZLn/L5vnwalUih253e7XVR23Dqpvns0180maDbbvaO5/usUfrtorttPsQs3msvhEBu9u3d7sWePlsREJXK5wAsviMV648bG+26SnDzpydSpIZw/78Hzz2cycmTCXVc9XBQ9Fy64M3FiKH/95Unt2mbGjk2kUqXC/ZnodDK++CKQzZt9USgEunTR0a2bDrW65BRBe/dq+PTTMEwmKf36pdCtm67Eje1KE64C3cUtCIK4lzhnTjCJiUpefz2dIUOSncqV/NIlN4YPj+DyZXe6dNExcGCyUxqRRUZqGTKkXKEWvEXFiROe9OxZgRdeyGTJkuhClWdnZEjp1KkyBoOMtWujKF++dE2oTCYpW7f6sG6dHwkJSsLDc+nUSce776YXWbRIcrKczz4LZPt2H1QqBz17ptKxox6A6dND2LLFl1q1MpkxI5bg4JLrlru4wdWrSvbtE4vy06c9EQQJISG5vPKKiZQUOXv3epHnxF67tpnWrQ00aWK8pen5yy8axowJx81NYPbs2EJJxoiKEuPTzp1z7vi0wiY6WsnIkaLZ6DvvGBg1KvGO79mEBAUDBpTj8mV3Pv44iY4dnXuVqqi4elV0ft+xQ3R+b9rUSI8e93Z+z82V/Mcp/O5T7P/uX5vN9z69e3jkNzW70xT75o/dXGS7uztnNJcgwJkzHkRGilnrsbFuSKUCzz2XSdOmosnc7XwsbofdLjbbFy0Kwmgseq8gF7cnM1PKkiWBrFvnh5eXnWHDknjrrfQiff3FxChZuDCIn3/2wtfXRq9eKbRrZyixAZHBIGPSpFAiI7145pkspkyJK3Xnv5LCVaC7yMeFC25Mnx7K8eMqqla1MHJkIs8/75wTz+xsCbNni6YU1atbmDEj1imliXmS8XnzYpw2Li4hQcH771dGq7XzzTdXimQPMzZWSceOlf79GlF4ezv/YSE2VsG6dX5s2+ZDZqaMWrUy6dJFR8OGpiLrBJvNUpYv92fNGn9sNnj//TR69UrF29tOVJSSYcPKcemSOx98IEraHwVjK2fFboe//rqxT37tmrhPXr26hUaNjFSvbuH0aU+++86H1FQFKpWdzEwZr76azuzZtxon2u2wZEkgX30VyNNPZzF3bsxDN1/y8r/nzAnG09PBJ5/E06RJ6fLFeFisVvjii0C++iqA0FAr06bF3lE5kJUlZdQoca2gdes0xoxJLBXqp4clL5rr5qI6Pl7B7t1e/P67mpwcKcHBuVSpkoNK5bilwC6saK6bDc4e1WguQRDXXnbvFmXwUVHuADz7bCbNmonFekEUWzen7Wi1dgYMSKZ1a4NrilnECAL88ouWadNCSElR0LZtGgMHJhdrg+SffzyYNy+IP/5QEx6ey0cfJfPaaxkFisotbAQBfvzRiylTQsjNlTJ4cBLt26eVyHMpTbgKdBcApKeLF/JNm0rfhXzvXg3jx4eRmytl1KgE3n23aDuU94vVKqFLl4pER7vx7beXCz1q62HJypLSuXNFEhOVrF17pUibHCdPilP6GjUsfPmlc8avCYL4PNes8WPvXi1SKbz2WgadO+uKNDvYapWwaZPozG4wyGnePJ0BA5Kvv15++MGLTz8Nxd1dlLS//PKjJ8F1BiwWCb//rmbfPjFKKS1NjlwuULt2Jo0aiVFKZ854sHWrD0ePqpFKBerXN9GqlYH69U18/nkgX34ZSPfuqQwZknz982ZkyBgxIpzDhzW0apXG6NGJuLk93PsjNVXOuHFhHD6s4eWXTUyaFI+//6Ortjh50pNRo8JJSrqxe3+7BpfDAYsXi42SWrUymTcvBl9f524o3ima63amZrfbvy5INFee+kOpdBAUZCU8PBet9ta86zvtYnt4uKK5HoQrV9yu76xfuOABwFNPZdG0qZFmzYyUK3f3e/aFC+5MmxbCn3+qqF7dwqhRiQ9l/urizsTFKZg2LYSDB7U8/riYaV5Sa0SCIJpmzpsXxMWLHjzxhIXBg5N48cWHV2Q9CCkpcj75JIxDhzTUqWNm4sT4IlsNLAu4CvRHHJsNNm70ZcmSQDIzZbz3Xhp9+yaXOifb5GQ5Y8aEc/Somtdey2D8+Hi0Wuf5N8THK2jbtgoREbmsWRPlNIWpwwFDhkSwb5+Wzz6LLpa9y127vBgxIoK33zYwZUq80xzYrFaIjPRi9Wo/zpzxRKu10a6dgfbt9QWKP3lQ8lZKFi4MIibGjRdeMDNkSNL1ZkB2tiSfpH3mzNgifT4ubkWvl3HwoDglP3JETXa2FLXaTv36Jho1MvHyyyYSExVs3erDzp3eGI1ywsJyadXKwDvvGPL9vAQBpkwRUx4GDUqiZ08dFy64M2hQOZKS5IwenVgoudy//KJhwoQwsrOlDBuWRLt2aU7zXitJbnavr1FDdK+/U4Gza5cX48eH4ednY9Gi6CIzOsqL5sovD7+Ti/itu9hmswyLpWDRXHlT6f/KwdVqO15e9nyPySu+8x4vkYjfkxUr/LlyRXR+79xZT+vWhkdiXcIZiIlRXi/W//nHE4CqVS00bWrk1VeNd9xtFgT46Scv5swJJjlZwVtvpTN4cFKBZfMu7o7VKmHVKj+++CIQiUSgX78UOna8c6Z5cWK3w65d3ixaFEhiopJ69UwMGpR83aS0OMnzBpk5MxiJBEaMSHS6oZqzUKYK9FoqlfDrE0/k+7OM114jrX17JBYLFfr2veXvGN55h/R330VmMFBuyJBbPq5/7z2Mr7+OIimJ8FGjbvm4rmtXTA0borx6lbCJE2/5eEqvXmS+9BLu588TMmPGLR9PGjgQy7PP4nHqFMELFtzy8cQRI8iuVg3VkSMEfvnlLR+PHz+e3IoV0ezfj/+qVbd8PG7aNKzBwWh/+gm//zQvjEYZ71g3c+xqOBMrfU5vjxV4euS/yV777DMEDw98N2zA6+efb/n8V1esAMBv5Uq0Bw7k+5jDzY3ozz8HIODzz1EfPZrv4zZvb2LnzQMgaP58PE+fzvdxa1AQcdOnAxA8YwYe58/n+3hO+fIkTJgAQOiECSivRZOUpCA+XolCKeDdsBKOOUMBCB85EkVycr6/n/XMMyQPGgRAxODByNPT833cXKcOqb17A1C+d2+kOflvfMZXXkHfrRsAFbt3v+V789/XniFdxuXL7gQGWilfLtcpXnuzD7/K6c8vsyZ82C3RXEX52ktIUPBSwg7a97MzMvgrfL777pa/X1yvPe8ZC8jed4aUFAW5Vgnubg48HgsgZ9lEPD2FAr323KKj833cUq0aSSNGAHd/7R0/7kn4wCHIjel4uDsIj8jFy8tO5r+vvagoJd7vD8CRlUNIiJWw0Fwkkvt/7f0XZ3jtldR1DyBm7lzsPj54b99+x9fe1WQvcuZtpfwfP1zfjVUqBLx9bBye/A3PP5+F74qVCDsOkapTkJkpRSIBTz8Fp6Z+SZ06mQR9efvXXvSceYwcGU79H2fwtv+vpOnlyOQCVSpn41Y54L6ue/997RkrV6NvzkK2b/dhh9f7vBQRhYf7jet6cV/3/ouzvPb++vwiEZ8vQBCgXLlc/P1tSLj1tZeZKeXSZXfsdqhUKYesuWNuee0JAtjtEmx2+K33HFLdwwk+8ANPHlyLzS7Bbpdgt4mPGf/EauJzAmkSu4639Wux28U/zzttvcEuLHjSh89ox8brz1siAZlMoFPYbjQaO71M82hg/BGZDOQyAZlMwOHuztYPVqPR2Km3dz7hF35DJheQycS/ay+ke67DAbK+U8g+HYfJLEMmEwgMtKGqW5n0CcMB57jn/hdnee0V1nUvJ1eCwSDHkCbDnCmjM2tQVgpgZMXVvJu4DA9PBzfXPTFz52Jy8+XM8F+odHArEolAaKiVoCArUknpOu896D0XCv+1ZzTJWKp7n0n6gbzZKJE1+nduGcI4w2svvXpNjsy5wjMb52C3S/DztREWloubm1Ds99ycHAlXr7phMsvw9rJj3LAQ33CF67V302tPffz4HQt0J+j7uCgKcnIkxMYpMRjkWIKlzJsXQ2uzDs/vSncHXCKBkBArGq2dqCvuRO7WcnFpAB9+mFrSTw0AH287QUFWkpMVaNT5b5wlwR9HPfn880CG1z9BkKV4ZUYhoVZefzqdJUuq8EZbT14p1q8uEh2t5Jtv/Ki12Y/aNiVajZ3y5a14eduxBeUQV4Q5sunpMgYMKMf+/Vp2ukl4qkIO/n62fF3knTu9mDQplB1WCU88lu0y+CliBCDTLMWQLqdt28qci/alD1q6eUgIDbXi7W27PiU86elg8uQQHt8RwGs2NzzcHURE5OLnZ0OmUuLx0t0lhFIpfPppHEd/taPTyXF3EyPXFAqBh3knmswyfvjemx0Wbz78MIV6cSbcUkv3db2oqPNiFr6/Woi66sa1a24YDHJCQ3K5cMGNWJ0a3xMqaqfKsdsk+PjYSEuTc/myO5P6lMcQWJHaSRfoqvPEZiefNLxvvwrEEUE7AuiD2/U/l0nFQjk+XonNWyLuXOfYkckEZHKxgJbJBKb2isXDz41av6dS8bgFmUxALhOu72t+v+ISAH4rDWgP5C8iHG5S3n47HYCA81Y8Y4vmZy+VQkiwFbecbMxmKUlJChITFfy9zYdfpaF066YjvEi+soubcVMKBAdZCQ6ykmuV0P/lJLb84cPevVoeEzxwc3Pg42PH18eG57/GiJ6eAs2aGvFIsxAboyQuTokuVU7EPWTyLm7FapMQG6tEr5dj85KweHE0DV9IQdnXOYebbm4Czd8w4n/eQmKigpRkBWkGOYGBVrJNUorT3sHNTaBqtWxSkhXExSl5773KDB2XTodifA6lmVI3QXdJ3O9OVpaE5csDWLnSH6kUPvggla5ddQ+95+iMmM1Spk4NYedOH2rVymTatDin2HWxWiV061aRK1fc2Ljxyj13x4qKs2fd6dq1EtWqWVi2rGR2wXNzJfTqVYG//vJg2bJrxbITJwhw/LiK1av9OHBAg1wu0Lx5Bl266PNFXBUVKSmiM/u2bT54et5wZr8529piESXtW7f68txzoku7S9JeNGRn5+2TazhwQINer0AuF3j+eXGfvGFD0/XrhsEg4/vvvdm61YfLl93x8LDz+utGWrdOo0YNy31J9PR6GR9/HMGxY2oCAqwYDDIWLYp5YF8BqxWWLg1k2bIAQkKsTJsW98jsmNrtolvyzVFbt3cKv1kqnt/grCDRXGq1ndxcCVlZMvz8rNSoYcHb237TjvXNzuE3G58VbjSXs3Kz87vNJjq/d++u4+mny2aMnzOj18vYu1eUwf/xhxqbTUJoaC5Nmhh59dUMatSwXG/4/PqrmpkzQ7h2zY2GDY0MH55UbLF6pRWHA7Zt82Hu3CCysmR066ajV6+UfPfx0kBSkpzPPgviu++8Uakc9Ohx63mkOIiKUjJ2bDh//+1J8+bpjB6dWCpMhIuaMiVxdxXot+e/u0fNm6czZEjSIxHN9P33XkyeHIpUCp98Es9rr5W8i3pCgoK2bSsTFmZlzZqoYm+Q6HQy2revAsCGDZfx9y+5C2F6uoxOnSphNIrxa0V1MLBaJfz4oxdr1vhx/rwHPj422rVLo337tGIxzTKbpaxYITqzW63Qvr3ozO7jk/97HxXlxtChEVy54sYHH6TSt+/tTaxcPDgGg4wDB27sk1ss4j75yy/f2CfP869wOODoURVbt/rwyy9arFYpNWpk0aqVgddfz3igiL1//vFg0KBypKfLGD8+gYYNjfTsWZFr19z46qur920oFBWlZNSoCM6e9eDddw2MHHnnGDFnJCdH8p+9atldd7GLIppLrbaTmSllxw5vUlKUvPZaOj176vDzs6FW2/HwEKO5BAG+/jqAhQuDeOqpLBYsiHHt8P4HnU7O2rV+fPutLyaTjOefz6RHj1Reftns2jMtATIyZOzbp2HPHi2//abGapUSGGilSRPRYK5WrUwcDglr1vjxxRcB/w4RdHzwQSqeRagiK61cuODGpElhnD7tyXPPZTJ2bAJVqpTunPnLl91YsCCI/fu1BAZa6dcvhRYtDMV69rDZYPnyAJYuDcDb286nn8bToMGjbYTrKtDLOOfOuTN9eggnTojunSNHJlKr1qMxWckjNlbBiBER/P23Jy1bGhg5MqHEbzz792sYMKA8772nZ+zYxGL7urm5Enr0qMiFC+6sXh1F9erFbxLyX6Kjxfg1H5/Cj3gzGGRs2uTL+vW+6HQKKlfOpnNnPW++mX5L9nRRYLXC5s2+fP55IGlptzqz38zOnd5MmhSKh4eDadPiqFv30b45FSYxMUr27dOwd6+WU6c8cTgkBAVZadjQSOPGJmrXzswXpZWUJOe773zYts2H+HglWq2Nt99Op2VLA1WrPvhhbNs2byZPDsXf38a8eTE88YT4/tPpZHTrVom0NDkrVkQV6GsIAnz7rRif5u7u4JNPEoo9xjEvmuu/k+t7TbHvN5rr1sI6fxxX3hQ7v4u4+GuVquDRXBaLhLlzg9mwwY/HHstm+vTY2xrD/fKLhlGjwtFoHCxcGF2k6Q6llcxMKZs3+7BmjT/JyQqqVMmmRw8dr7+e/khEpTkjJpOUgwc1REZqOXRIQ06OFF9fG40bi8V6hQrZLFoUzPffexMYaGXYsCRefz3D1VhBvM4tXRrAmjX+aLV2hg5NokWLsmVu9uefnsybF8zp055UrpzNwIHJNGxoKtZ/4/nz7oweHc6lS+60bGlg+PBE1OrS03AuTFwFehlFlEwGsWWLD15edj76KJmWLUtHbFpRkCcB/frrAMqXz2XGjNjrh+OSYs6cIFauDGDmzFiaN88o8q8nCDBuXBjffefD7NkxTqEmyOPPPz358MMKPPtsFl98Ef3QucNRUW6sWePHzp3e5ORIqVfPROfOeurWLZ4pjiBAZKTozB4d7Ubt2maGDEnmqadunY5aLBKmTQtl2zYfnntOdGl3TeUeDodDnFTv26dl3z4NV66IOcKPP26hUSMTjRoZeeKJ7HyvBasVfv1Vw9atPvz6qwaHQ8ILL5hp3dpAkybGh1K65OaKawubNvny4otmZs6MvUU9kZCgoHPnStjtsHr11buuv+h0YnzaoUMa6tUT49MCAu7/NZMXzXWz/Pt2hfXdXMQF4e5vKHf3OxfQBcm/Lolorl9/VTNuXBgmk4xBg5Lp2FF/S2bvhQtufPRRefR6OZMnx/H6685zPXUm8tRLK1b4c/myO0FBVrp00dG6taFUKT3KGllZEg4dEov1gwc1ZGXJ0GptNGxoonLlHHbt8uLCBQ+eey6TUaMSHqoxWdrZu1fDtGkhJCUpad06jUGDksusBFsQxH/v/PnBXLvmRq1amQwenFSsUXG5uRKWLg1k+XJ/goKsTJoUT506JRMNV5K4CvQyhtWaF5sWRFaWlPff19O7d0qpi00rKv74Q8WoUeGkpYkHr86dbz14FRdWK/ToUZGLF9359tsrVKhQtHtfq1f7MWtWCL17p9CvX0qRfq0HYedOL0aPjqBFCwOTJ99//JogwJEjKtas8efQIQ1KpYO3306nc2c9lSsX3+Hizz89mTs3mL/+8qRKlWwGD06ifv3bNwauXHFj2DCXpL0wyMmRcPSoir17xXxynU6BTCbw3HOZNGpkomFDI+HhtyoXYmKUbNvmw/bt3uh0CgICrLz7roGWLdMLZeUiJUXO4MHl+OsvT7p3T+Wjj5Lv+DOOinKja9eKqFQOVq2Kuq33QF58WlaWlAEDknn99Yxb5OB5hfQJGrBlAACRq0lEQVTtiuobWdkysrMfPJrrvxnXdyrCH7bZVlLo9TImTAhj/34tL71kZvLkuFsaZ3q9jCFDynHihIpevcTrakndT5wdQRAbHytWBHD8uAqNxk779no6dNCX6JqVC/Ha+dtvaiIjtezfr8VkkqFW26lQIYeoKDcsFinvvZdG//4pj5RZaUKCmGm+f7+WKlWyGT8+4ZHx9rDZxD37zz4LRKdT0LixkYEDk6hUqfj8CU6d8mDs2HCio93o0EHPoEFJpW7P/2FwFehliCNHVMyYEcKVK+689JKZESMSi7UwKS2kp8v45JMw9u7VUq+eicmT44tlD/l2JCWJ++iBgVbWro0qMtn14cNq+vYtT+PGRubMiXXaQ+RnnwWydGkgAwYk06tXwdz3c3Ik7NrlxerV4oTGz89K+/ZptGuXhq9v8R0moqKUzJ8fzL594h5X//7JtGiRfkfVyo4dotzZJWl/cNLT8/LJNRw+rMZikeHpaefll800amSkfn3zbQ+UOTkS9uzRsnWrD3/8oUYqFWjQwESrVgbq1zcVWpPkxAlPhgyJICtLyqRJ+T0wbDZuO5E+f96dZcsCUKsdNG2aQW6uFLNZSnq6nMuX3cjIkCOTCQhCfvfw26FQONBoHP9Opm/dv/6vbPzmybVabUelcjjttaI4EATYtMmHWbNCcHNzMGHCrWsEVquESZNEBUyTJhlMnRrvygS/B3/95cHKlf7s2aNFoRBo0SKdrl11Rd6kdnFvrFax0RkZqWXvXi3p6eL1xm4HT08H/fsn06FDWplWY1qtsGaNP59/HghA376iiuZRXM3IypLwzTf+LF/uj8UipWVLA337phSbys9ikTB/fjDr1vlRoUIOkyfH8cwzj4bxpKtALwPExiqYPTuEvXu1hIfn8vHHiTRqVLx7I6WNvIPXzJkhqFQOJk+Oo379kimQDh5U069fBVq3TmPChIRC//xXryrp2LEyISG5rFlz1akPj4IAo0aF88MP3syaFXNX2aheL2PjRl82bPAjLU3O449b6NJFT/PmGcXqSq/Tic7sW7f64O7uoGdPHZ066e7Y6c3KkjB1aijffefD88+LLu0uSXvBiY1VsnevaPJ28qS4Tx4YKO6TN2pk4oUXMu/4879wwY2tW335/nsvjEY54eG5tGploEULw3055QuC6AB/N1Ozo0dV/P67Gg8PMULN4eDfx4qPsVjufcKVSgUCAmwoFA5SUhTk5kqoXDmH557LxMvr7lNstdpeLD4LjwJXryoZNSqcM2fyfEwS811HBQG++caP2bODqVIlm0WLYpwiNcTZiY4Wnd+/+84bq1VCkyai83uNGo/GAdzZsdnE1JM9e7T8/LMX6eli51KtttOhg56uXXXXDTXLCidOeDJpUiiXL7vTuLGRkSMTCQlxvZfT0mR89VUAGzb4IpdD5846unfXodEUz8//6FEV48aFkZysoEcPHX36pJRI+lBx4irQSzFZWVK+/tqfVav8kckEevVKpXNnfZmMTSsqLl92Y/jwCC5dcqdTJx2DByeXyJt+3rwgli8PYNq0WN56q/D20TMypHTqVBmjUcb69VdKxaExN1fChx9W4J9/PFi27FZX60uX3Fizxp8ffvAiN1fKK68Y6dxZzwsvZBZrUyozU8rKleL7z2qV8N57enr1Sr3r1P7KFdGlPSrKjV69Uund2yVpvxcOB5w548G+fWJRfvmyuE/+2GPZNGokFuVPPGG546Q3M1PKjz96sXWrD3//7YlC4aBJEyOvv57B449nk5l5t33rO8vDbbZ7v9gUCgdBQVa0WsctUVw371//d4Kt0Tg4dsyTYcPKERxsJSFBQUiIlalT43juuUdDYuls3OxjEh6ey7Rpt05yDh9W8/HHESgUAvPnxzwyctiHRaeTsW6dHxs2+F13fu/ePfWOq0Euih+7HU6e9GTZsgB++02NwyFBIhGoXTuTN9/MoFEj4y2+GqWJ9HQZ8+YFsXWrLyEhuYwaJQ66XOQnNlbB4sVB7Nrljbe3jV69UnnvvbRiOTebTFJmzQph2zYfHn/cwtSp8cUSj1tSuAr0UoggwK5dXsydG0xKioK33kpn0KAkV1byA5KTIzr3rlvnR9WqFmbOjKNSpeJdDbDZoGfPipw7586GDVcKZc/HZoN+/crzxx8qli27Vqrc+w0GGR07VsJslrF27RXCwqwcPqxm9Wp/fv9djbu7g3feMdCxo56KFYtXFmm1wtatvnz2mejM/tprGXz0UfI9M+23b/dm6tQ8SXssdes+eqYnBSU3V5RZ7tsn7pOnpIj75LVqifvkdeua8PKy37RvffP+tVhgX73qxoUL7sTHK3E4JCiVDtzdHdjtEjIz7y+a605y8P/uYlssUmbODObyZQ96906hT58H30m+dk1J797liY93IyQkl40bL+PtXbamVaWRP//0ZPTocJKTFfzvfyl8+GFqviZbVJSSAQPKk5CgYPz4BFq2TC+x51rayMyUsmWLD2vW+JGUpKRKlWy6d9fRvHlGqfUyKIuYzRKmTQvh++99EAQQBAkymcDzz2fSrJmRJk2MJbY2eL8IAnz3nTdz5gRjNsvo0kXH//6XUuJJP87O2bPuzJsXzO+/qwkLy6V//2TeeCOjWFai9u/XMGFCKBkZMvr0SaVHj9QyOehwFeiljLNnxdi0kydVPPGEhVGjEorVXbEsc+CAhnHjwrBYpAwfnkibNoZi7d4nJ8tp27YKfn421q278tBmGDNmBPPNN/5MmBBP69aGQnqWxce1a2L8mkIhoFLZiYlxJzDQyvvv62nTxlDsLqqCAL/8omXBgiCuXXPjuecyGTo0iaefvvv7LytLwpQpoezY4UPt2mamT7/VbOpRIi+ay2TKLw1PSZFz6pQnZ896EB2txGaTIpM58PKy4+kpIJEIZGaKBfi9orlAAMQJj5eXnZAQKyEh1jvsW98a1aVW2+/7hv/77yo+/jgCm03C9OlxvPLKg01f8tZvZs8OQal00LChie++86FlSwOffnr/5okuCh+TScrUqaF8/703zzyTxbRpcfkMBTMypAwbVo7ff1fTpYuOIUOSyvTObmFjtcJPP3mxYkUAly6Jzu+dO+to08bl/O5MxMYqmTkzmP37tWi1Njw8BJKTFUgkAjVrZtGsmZGmTY0EBzuncu/yZTcmTQrlxAkVNWtmMm5cAo895vJtuh9++03F/PnBnDvnQbVqFgYPTi4WP530dBmTJ4fy889ePP10FlOmxBX7sKaocRXopQS9XoxN27rVBx8fOwMHJvPuu4ZH2sCnKEhNlTN6dDi//66madMMJkxIKFbX0sOH1fTpU553301n4sT4B/4827Z5M358OB076hg5MqkQn2HxkJIiZ8MGMb/cbJbj6Wln1KgE3nzTWCKTlJMnPZkz50Y+6ODByTRocG+fh8uXRZf2PEl7nz4ppf6gbrVKbrtzXZjRXDKZ2JTx9bVfNzjLP8W+McEWmzdKDh/W8McfKmw2KU8/nUWbNgZeey2jyA/0ggArV/ozf34QFSvmMH9+zAObXel0ooHlwYP5ncOXLAnk888D6dpVx9ChSa4i3Un48UcvJk0KxW6HUaMSeeedG7nINhvMmhXCunV+1KtnYtas2GLb1ywrCIJ4T1y+3J9jx9RoNHbeey+Njh31pWZC+yhw6JCaGTNCuHbNjeefN1O1ajZ//KHm0iVxHalGjSyaNcugadPbJ2kUNxaLhC++CGTVKn9UKjHT/J130l3n6QfE4RCvhYsWBREfr+TFF80MGpTEk08Wvfz8p5+0TJ4cSna2lEGDkunQoeSSmQobV4Hu5FitsGGDH0uXBmKxSOnQQYxNc93oiw6HA1at8mfhwiD8/GxMnx7L888Xnzx84cJAvvoqkClT4mjRIv2+//7Jk5706FGB55/PYunSa6VK+nPunDtr1vjx449e2O0SGjUyUblyNl99FVgiE8SoKCULFgSzd6+WgAAr/fql8M47hgJ9T7dv92bKlFA8PR1Mnx7LSy+VvKRdEMBikd62wL41Czv/7nVeEX4/0Vz/zbtWqRzk5EiIj1dw9ao7KSmiLW54eA5165pp3NjI889nFchHIylJznff+bBtmw/x8Uq8vGy8/XY6rVoZim0KkpUlZdy4MHbv9qJZswwmT35wB+99+8T4NLNZypAhSbz/ftr1g4YgwLRpIaxf78fAgUl88IGuEP8VLh6GxEQFo0eHc/y4imbNMvjkk/xN3Y0bfZg2LZSIiBwWLYqhfPmyNeUpLv7+24MVK244v7/9djrdurmc350Fq1XC2rW+LF0aiNUqoUsXPa+/nsGhQ2p27/bi3DkPAKpXt/w7Wc8okYnngQNipnl8vJKWLQ0MHpxUqnfnnYncXAkbN/ryxRcBpKfLad48nQEDkomIKNqmTGqqnAkTQjl4UEvt2mYmTYonLKzkG0EPi6tAd2J++03NjBnBREW5U6+eieHDE4s1g/BR58wZd4YPjyAuTsmHHxafoZfNBh9+WJEzZzxYv/7KfUXlJSYqaN++Mmq1nXXrokpFZqnDId40V6/25/hxFZ6edlq2NNCxY9p12eiiRYF8+WVgsRUnOp2cpUsD2LLFF3d3Bz16iM7sBdlLu1nS/sILoqQ9IKBwpj03orlu3bm+3Z/fKLBvGJzZ7XfvcCiVDtTqgkRz3byffedortxcCX/8oWLfPg3792tJSVEglQrUqpVFw4ZGGjc2FThv3GqFgwc1bN3qw6FDGhwOCXXqmGnd2kDjxsZiNciMjlYyaFA5oqLcGDgwme7ddQ/UPMrKEvfWt2zxpVo1C9OmxVGlyq3veYcDRo8WEw7GjYunXbvSt7ZSVrHbRRXF4sWB+PramTw5Ll9D7tgxFUOGROBwwJw5sbz4Ysk360or/3V+b9zYSI8eLud3ZyE1Vc78+UHs2OFDYKCVoUOTaN48g/h4BXv2aImM9OKvvzwBqFIlm2bNjDRrlkGVKjlF2nxPSlIwfXowv/ziReXK2Ywbl+Ay3CwiTCYpK1b4s2aNPzYbvPde2j0NdB8WQRCHIjNmhCAIMHx4Eq1aFe+aamHjKtCdkNhYJbNmiXnKERE5jBiRVCA5rYvCJzNTyrRpIXz3nQ/PPJPFjBmxxdKZS02V06ZNFXx8xH30ghaGXbtWIi5Oydq1hWM0V5RkZUnZvt2btWv9iIkRjbA6dtTTsqXhlugWQYARI8L58UdvZs+OyZcnXdjPaeVKf1au9MNqldKuXRr/+19KgW8sly6JkvarV93o3TuV//3vhqS9INFc95piFySaS6W6u5HZf//8hnO4+PvCKHIzMqT8+qvoun74sJrMTBkeHnbq1TPTqJGJBg1M9+UhEB2tZOtWH777zhu9XkFgoJV33jHQsqWhyLvzt+PAAQ2jRoUjlQrMnPnghn+nT3swenQ4sbFKunfX0b9/yl1XOKxWGDy4HAcPapg5M/auMYQuip+zZ90ZOTKcq1fd6dJFx8CBN1JBYmMVfPRRea5edWPkyETat08r4WdbutHpZKxf78eGDb4YjXKeey6THj1Sefllc5mRuJZmTp3yYOrUUM6d86BWrUxGj0687ridlCTnl1/EYv3ECU8EQUKFCjk0bSoW69WrZxfaeddqhXXr/FiyJBBBkNC7dwpduuhdpoPFQEqKGEG7fbsYQdu9u47OnQs26HhQ4uMVjB8fxh9/qKlf38SECfGl1vPHVaA7EVlZUr76KoBVq/xQKG7EppX1rL/SwI8/ejFxYigA48cn0Lx54UWh3YkjR1T8738VePvtdKZMufs+usMBw4ZFsGePliVLokss070gJCXJWbfOj82bfTGZZNSokUXnzjqaNjXeVaGQkyPhgw8qcO6cB8uXXy3UiYnVCtu2+fDZZ4Ho9QpefTWDgQPzO7Pb7WA233732miUcuyYigMHtMjlAk8+aUGhEG4psG22u58c5XLHTUXz7Qvs20Vz5RXZarWjxHbc4+MV7NunZd8+DX/+qcJul+Dvb6VhQxONGhmpUyfzvor/7GwJe/Zo2brVh2PH1MhkAvXrm2jd2sDLL5tKZHXD4YAvvgjgs8+CqF7dwrx5MQ/UsLPZ4MsvA/nyywCCgqxMmRJX4DWa7GwJvXtX4PRpTxYtiubll533vf4oYrFImDMnmG+/9ePxxy1Mnx53feXCbJYycmQ4Bw5oee89PSNGJKJQlPATLuVkZUnZutWH1av9SEwUnd+7ddPxxhsu5/eSxm4X76sLFwaRkSGjbds0+vdPydec1enk7N2rYfduL44fF+8bYWG514v1p5++c4TmvTh1yoPJk0O5cMGDBg2MjB6dWCakz6WNm1cF/f2t9OmTQsuWhiK79jkcsH69L/PnB6NUOhg7NpHXX88odUNOV4HuBAgCfP+9F/Pni7FpLVoYGDQoudBksS4Kh7g4BSNHRnD6tCfvvGNg9OjEB943LSh55lATJ8bdNa5n6VKxaBg6NJFu3fRF+pwelL//9mDNGj927/ZCEKBpUyOdO+vuK4UgLU1Gx46VycqSsm7dlfu62ebkSP4zqRYL6+PHVeze7YXBICcgwMpjj2WjUAj/uozfmGIXJJpLKhXw9bXh5VWwyfV/p9ju7kKpuYkIgjgxzCvKL14UdwwrV86mUSOxKH/qqfs/XF244M6WLT58/703JpOM8PBcWrUy8M47hhLthJtMUkaPDmf/fi1vv21g/PgE3N3v/x4ZHa1k1Khw/v7bk7ffNjBqVOJ9e4qYTFJ69qzI1atufPnlNVfethNy8KCacePCMZulDB58w7zIboeFC4NYvjyAF14wM2dObLEnUpRFrFb4+WcvVqzw5+JFDwIDrXTp4nJ+dwYyMqR89lkQ337ri1pt56OPkmnd2nBLM9lgkLFvn5bISC2//y4afgYGWq8bzNWsmVWgBnRGhoz584PYvNmXoCArI0cm0qSJsdTcW8sqp055MHduMCdPqqhQIYeBA5OL9Ody7ZqSMWPC+esvT159NYOxYxNKld+Aq0AvYc6ccWfatFBOn/bkqaeyGDkykWeece1SOSs2G3z+eSBffRVAREQuM2bEFqlTpd0O//ufOC1bt+7Kbc2vIiO1DBlSjhYtDEye7FwxTHY77N2rZc0aP06eVKFW22nVykCHDvr7Kq4dDnHdwGSScf68G6NGRaDV2unVKxWrVXLbneu83+cV2feK5pJIhOvTafH/+Q3ObjfFNhhkLFgQRFyckv/9L4U+fVJLvUv73bBab+yT79t3Y5+8Zs0sGjUy0qiR6Z558LfDbJaya5cXW7f6cOaMJwqFg6ZNjbRubaB27cwSl6xevuzGoEHliI9XMmxYIh06pN33+0wQYPNmH2bNCkGhcDB+fMJDrWro9TK6dauEXi9nxYqr1+WjLpwHvV7G+PGiK3+9eiYmTYq/3njfudOLCRPCCAy0sXhx9H15jbi4M4Ig+vcsX+7PH3+Izu/t2onO766hR8ly8aIb06eHcOyYmmrVLIwalUitWrdvLhqNUg4cEIv1w4fV5OZK8fOz0qSJGN1Wu3bmLSoqQYCdO8VM84wMGZ066enbN6XIBykuCo4giDnm8+cHERXlTo0aWQwZklRkfgA2m+gPsmRJIFqtgylT4kqN6sxVoJcQOp2MhQuD2b7dG19fGwMHJrtiHkoRx497MnJkBHq9jI8+SqFrV12R/ex0Ojlt2lRGq7WzYUNUvpvN+fPudOlSiccey2b58qvFapJ1N8xmUXa4bp0f8fFKQkNzad3aQP36JhwObtqxzr9//d9d7PuJ5nJ3v3mf+oZMPK/Yziuqs7Ml/PKLllOnVHh7W+nWTUfbtgY0GkeBiy5BEKV706aFoFLZmTEjjjp1yqbxk9F4Y5/80KG8fXIHdeuaru+TP0hXWhDg1ClPtmzxYfduLywWKVWqZNO6tYG33kp3mqni7t1axo4Nw9PTwZw5sQ90kNDrZUyYEMb+/VpefFGMTwsKevhiITFRQefOlbDZYPXqqw/UHHFRtOTl2s+aFYK7u4MJE+Jp0sQEiB4EAweWIztbysyZsTRoUDoOjqWFM2fcWb48gD17tMhkAi1apNO1q67M5SWXJgQBfv5Zy+zZISQnK3jjjXSGDEm66/UwM1PKr7+qiYz04tdfNVgsUry9bTRqZKJZswxefDGT2FglkyeLxX+NGlmMH5/galo6MTYb7Njhw5IlgaSkKGjY0MjAgcm3NUgtDC5ccGPs2HA++ijZqVdAb8ZVoJcAu3aJ2anZ2RI6ddLzv/+lola7OnyljYwMGRMmhLJnjxcvvWRmypTCc+v+L3/8oeLDDyvQvHkG06bFIZGIh/7336+M3S5hw4YrRfa1BUHc8ytI3nVKipxLl9xJSlLgcEhQKMTXtdVasGiuvGI6b8c6/751/in2n3+q+OKLQN56y8Cnnybc06tBp5Px+eeBbN7si5ubaFjSpcv9G5ZkZUmZNCmU77/3pk4d0aW9rGXyJiQork/J//xThc0mwc8vb5/cRJ065geSd4O4prBzpzdbt/oQFeWOp6ed5s0zaN3awFNPWZxGAXKzFLlGjSzmzo15oKL6wAEN48eH3SJ1LiyiopR061YJT08Hq1ZFFUrh76LwiYpSMnJkBOfOedC6dRrDhyfh6ekgKUnBRx+V4/x5dwYPTqZbtwdLA3BxZ2JilKxe7cf27T7k5orO792761xqxRIkK0vCsmUBrFzpj0wmei516XJvzyWLRcJvv4nF+v79GjIzZSiVDqxWCR4eDgYNSua999Jcw65SgsUiYe1aP5YvDyAzU8o776TTt28ywcGFfx+z2ylVCkdXgV4CnDjhyddfBzB8eKIrw7OUIwiwZYsPM2aE4OHhYPLkuCKbgnz+eQBLlgQxYUI8LVqk07OnaJi2cmXUXWX2N6K57uQUfusUW9zPll03RbtXNJdcLiCVCuTmio/z97dRpUo2YWHWAu1ie3o6HuiGumBBEF9/HcCQIUl07377+LWsLCmrVvmxcqU/ublS2rRJo3fvFPz87n9Ce/Gi6NIeHe1Gnz4pfPhh2ZC0C4KYQZ+3T37hgrhPXqnSjX3yhzHrcTjg99/VbNniw969Gmw2Kc88k0Xr1mm89prR6SSI6ekyPv44gt9/V9O2bRojRybet1lnVpaE2bND2LTJl6pVxfi0ospnP3PGnZ49KxIcbGXlyqtOoz5wkR+rVcJnnwWybJk/ERG5TJsWR40aFiwWCePGhfPzz160aCH6GziLGqosodeLzu/r14vO77VqZdK9u44GDUyugq6EiI1VMGtWCPv2aSlXLocRIxILfIbat0/Dp5+GotcrUCgcWK1SPD3tNGhgomlTI/Xrm4rUMdxF4ZGeLuOrrwJYv94XqRQ6dNDTs2cqXl7OdTYoTlwFugsXhUBUlBvDh4dz4YIHHTroGTIkqVAOWDdHc6Wni/uMFy64U7VqNmfOeNK8eTqhodY7SsMLGs0lTq3vHc11c961h4edkydV1/eGtVobbdsaaN9eXyTdz9vhcMDHH0cQGall7txYmja9sdNrs8HWrTec2Zs1y+Cjj5IfqCmWJ2mfOjUEjUaUtL/wQumWtFutEo4dy8sn15CUpEQqFXj22Rv75OXLP1wDMSlJwbZt3mzf7kNCghIvLxtvv51Oq1aGIitWH5Zz59wZPLgcKSlyxo5NpFWr+88b//tvD0aNCicmRkm3bmJ8WlGncRw7pqJ37/JUrZrNV19dcxljOTHHj3syenQ4KSkKevdO4YMPxEbfF1+ITdgaNbJYsCCmzClznIX/Or9Xriw6v7/5psv5vaQ4fFjN9OkhXLvmRoMGRoYPT7rj/Sc5Wc6MGSFERnpRsWI248Yl8uyzmRw7piYyUsvevVrS0uS4uzuoV89Es2ZGXnnF5FKqlgLi4xUsWRLI9997o9HY+fDDVN5/P+2RbFi6CnQXLgqJnBwJ8+cH8c03/jz2WDazZsVSoULObaO5CjrFNplk2Gz3nl7fiNq6VRp+8/513uPyimyNxo5KdX/RXEajlC1bfFm71o/kZAXly+fQqZOeFi0MJdKtzs6W0LNnRS5edGfFiqs8+aSFfftEE5KrV92pVSuTwYOT7sst/mZulrS/+KKZadNi8fcvnRNKo1HKoUMa9u3TcOiQBrNZhru7g7p1zTRqZKRBA1OBM9/vhNUKBw9q2LLFl8OH1TgcEl580Uzr1mk0bmxy6tjInTu9+PTTMLy97cybF8PTT9/fa8Zmg6++CuCLLwIJCLAydWo8tWsXXyNn3z4NgweX4/nnM1myJPqRPNSUFoxGKVOmhLJrlzfPPpvJtGlxhIdbiYzUMmZMOFqtnUWLoqle3bVHW1RYrbB7t+j8fuGC6PzeubPo/O4q5oofq1XC2rW+fP55ILm5Erp00dOrV+p1hZXNBuvX+7F4cSB2u4T//S+Vbt10tzRV7HY4cUJFZKSWPXu0pKaKE/a6dc00bSo2n728Suc9/FHhwgV35s0L4vBhDcHBufTvn8Jbb6WXCcViQXEV6CVAXJyCmBgl1atnlyrL/0cRMZrr7kZmefvXeUV1UpLi3x1sgHsvE3p4iBNq0Sn87vnXMTFKFi0KAqBhQyMzZsTh4VE80VwxMUrWrvVj2zZvLBYZL7xgpksXPfXrl7w8UK8X49fMZinh4bmcOeNJhQo5DBqUROPGpgf+/ly86MbQoeWIiVGWWkl7YuKNffLjx8V9cl9fGw0bigeVF1988H3ym7l2TcnWrT58950PaWlyAgOtvPOOgZYtDUREOHf2rNUKc+YEs3atP88/n8ns2TH3vQIRGyvGp50+7cmbb6YzenQCWm3xH/J37vRm9OhwGjc2MmdOTInkxbsoOD/84MXkyaEIAowalUiLFumcP+/ORx+VIz1dzpQpcbz66oO7/bu4N4IAR46Izu9Hj6pRq284v5dktOOjSmqqnPnzg9ixw4fAQCtDhiQRHp7L5MmhnD/vwcsvmxg9OqFA9xWHA/76y4PISC8iI7UkJiqRywVeeEEs1hs3Nj7QupuL4uHoURVz5wZz9qwHjz2WzaBBSdSvb34kfDpcBXoJsGKFP3PnBgMQFGSlenUL1atnU62a+P/gYOsj8eIrahyOPHMzMe/6TlPsG1Fc+fevTSbpPc3NpFLhlr1qtdqBUung9GlPEhOVPPZYNq1bpxEcbP1Pwe1ApbIX+AB97ZqSDh0qExxspWlTI0uXBjJuXDzt2t2/BLegCIIox1yzxp/9+zXIZAJvvJFB5856qlVznsnOtWtKpk4N4cgR8TkOHZrI+++nPXBxIgiiPH7aNFHSPnNmXLFOQh8GQRDd/fP2yc+fF/fJK1bMv09eGI0Gi0XCnj1ebNniw59/qpDJBBo0MNG6tYF69UylojjU6WQMG1aOP/9U0amTjiFDklAoCv73814rM2YEI5fDuHEJNG+eUXRPuAB8840fM2aE8M47BiZOjC/xBpqLu5OQoGDUqHBOnFDx6qsZjB+fgNUKgwaV5/RpT/r2TeZ//0t1/RyLgTNn3Fm50p/du72QSgXefjuDbt1SqVTJ5RdU3Jw65cHkyaH/eqII+PjYGTcugaZNHyw7WxDg7Fl3du/2Ys8eLTExbkilArVqZV3PWnc1ZJwPh0NMU1mwIJi4OCW1a5sZPDj5vhVupQ1XgV4CGI1Szp714Px5d86d8+DcOXeuXXO7HiPl7W2jWrXsfIV7+fK5j9zN2WqV3LWwvrmofthorjvJw++2i63ROPD0vHM0l8MBa9b4MX9+EL6+dqZPf/Aiz2iU0rFjZTIyZKxff4WQECt9+5bn2DEV33wTVegySKtVwk8/ebFmjR/nznng7W2jXbs02rdPc6osWb3+hjN7Xnb2rl2iFH3x4ugHKhAzM6VMnChKT196yczUqc4vabdaJRw/7sm+fVr279eQmKhEIsnbJxeL8sI0pDx/3p3Nm33Ytcsbk0lGREQOrVoZeOeddKd6fdyL06c9GDKkHEajjE8+ieett+6vsE5LE+PT9u3TUqeOmcmT4wkOdg61wGefBbJ0aSCdO+v4+OMkV9PXybHbxeb9kiVB+PramDo1jpo1s/j001B27PChWbMMJk+Oc5leFROxsQpWrfJn+3YfcnKkNGpkpEeP1AdelXJxfwiCqC6ZNSsEg0GGUima0LZrl0b//ikPbYQpCKJCLjJSLNavXHEH4NlnM2na1EizZkZCQ53jWu5CxGqVsGmTD198EUhampxXXxV9hR7WK8dZcRXoTkJWloSLF905f14s2M+d8+DyZbfrE1xPTztVq2bnK9wrV85xWkOTgkZz3c7ULO/x2dkFi+a6WyF9q8HZzY9zFMv37+xZd0aMiCA6WskHH6TSp0/KfU3o7Hbo1688R4+q+fLLq9SuLeYwp6XJaNu2Cu7uDr799kqh7Mylp8vYtMmX9et9SU1VUKlSNp0763nrrfRCkUEXFllZEtas8Wf5cn9ycm44s/v729myxYcJE8Jo107P2LGJ91WYXLjgxrBhoqS9Xz/RvMlZG2MmU/59cpNJ3Cd/8UUzjRuL++SFKd0zmaT8+KMXmzf7cu6cB0qlg2bNjLRubeC55zKd9vt0JzZtEhUSgYE2FiyIue/M3IMH1YwfH4bRKGPgwGQ6dy7c+LSHRRBg+vQQ1q3zY8CAZHr1Si3pp+SiAJw5487IkeL9omtX0WBw/Xpf5s4Nplq1bBYujHGaJtCjQFraDef3jAw5NWuKzu+vvFLyq11llatXlUyZEsrRo2qefjqLceMSCA3NZenSQDZs8EOlsjNgQApt26YV2spZVJTb9Z31PNXZk09m0ayZWKyXK1c2i8DSiNksZdUqf1at8sNqldK69Y3zX1nCVaA7MVarhCtX3Dh37kbhfv68+3VXboXCQZUqOVSvbrleuD/+eHahdNhvRHPdXR5+pyLbbJbhcNy9MlIqHbeVhxfURVylerBorpIgK0vKjBnBbN3qS40aWUyfHlvgvdzZs4NZtcqf8ePjads2v5z9xAlPevSoSJMmRmbPjn3gKVlUlJJvvvFn505vsrOl1K1ronNnPfXqOdeuj80G27eLzuypqQqaNhU7qBUr5r95zp0bxIoVAQwblkjXrvp7ft68uLzp00PQau3MmBF7vRHiTCQl3dgnP3bME5tNiq+vjVdeEafkL75oxsOj8K7bggAnT3qyZYsPu3d7kZ0t5fHHLbRubeDNNzNKpdFObq6EqVND2LLFl3r1TMyYEXdf/w6LRcKcOcF8+60fjz2WzbRpsVSt6pyO9A4HjBkTzvffezN2bALvvZdW0k/JRQHIyhJfYxs3+lG1qoXp0+NISFAwfHgE7u4OFiyIcWV4FzNZWRK2bfNh9Wp/EhKUVKp0w/ndmY0vSxPZ2RK+/jqA5cv9cXcXGDgwmTZt8hfhly65MX16CH/8oaZqVQujRiXy3HOFe6+OjVUSGaklMlLLP/94AlC1quX6ZL1yZee83j9q6HRyPv88gM2bfVEqHXTrpqdrV12ZSTBxFeilDIdDNOvKk8bnFe7p6aKWVyIRKF8+h8cfz6ZChVzCw3MJDLQhCNxXgV2Y0Vy3/rn4+0fRYfinn7RMnBiGwwFjxybcU1L73XfejB0bzvvv6xk9OvG2j1m2zJ/584MZPTqB998v+AFcEOD331WsWePPr79qUCodvPVWOp0766lSxbluQIIA+/eLzuxRUe48+2wmQ4YkU7Pm7W/MDgcMGxbBnj1a5s2LoUkT0x0/982S9rp1TUydGuc0pjGCILqZ5hXl586Jnf0KFXKuR6HVqJFV6MZ1er2MnTu92bLFl2vX3PD0tNO8eQZt2hh48kmLUzVt7oekJAVDhkTw99+efPhhCv36pdzX9y5vunntmhtduuj46KNkp7+OWa0weHA5Dh7UMH16HG+8UbL78S4Kzv79Gj75JIzMTCmDBydRp04mAwaUJzlZzqefJvD22+kl/RQfOWy2G87v58+Lzu+dOulp0yYNjaZsFAYlweHDaqZMCSE21o233kpn6NDEO05EBUHcSZ49O5ikJCXNm6czdGgSQUGFv16VkKBgzx5xsn7qlCeCIKFSpezrxXrVqtml9n5YVrh2TcnChUFERnrh62ujd+8U2rRJuy+lqjPiKtCdELud6wVzQafYBoMcg0F8fE6O5J6713eK5rq7i/iDR3O5uEFCgoKRI8M5eVLF228bGDMm8bYdv1OnPOjRoyK1amWxdOm1O15sHA7o37/8v8V2FE8+eXepbk6OhF27vFizxp9Ll9zx9bXRvr2edu3SnKYwvZm//vJgzpxgTpxQ3Zczu8Uixq9dvuzOihW3/75cuODOsGERxMQo6d8/hZ49S17SbrXCn3+qru+TJySI++TPPJNFw4bipLwoDIvsdtHJeOtWH/bt02KzSXj22UxatTLw2mvG61E3pZVjxzwZNqwc2dkSpk6Nu2vT5r/YbLB8eQBLlwbi52djypQ46tQpHaaBIE6meveuwOnTnixYEE2DBuaSfkouCohOJ2P8+HB+/VVDvXomPv44kSlTQjl2TE337qkMHJjsuheXAKLzu4rlywOuO7+3bZtGp04u5/f7ISVFzsyZIfz8sxcVKuQwdmxCga+tFouEZcsCWLHCH5lMoFevVLp00ReZoiElRc4vv4jF+vHjKhwOCREROdeL9aeeKr3N67LAX395MHduMH/+qaJcuRwGDEjmtdcezFDQGXAV6CXAsWMqfv5Ze5vsa7Hgzsy89902L5rrv4X0zTvWMplARoYcnU6M/oqJcSMhQUFe9Jevr+26c3y1ahaeeCKb8PBHz4yuJMjLS/7880BCQ63MnBmbz5EyKUlB+/aV8PR0sH591D0luOnpMtq0qYJcLrBx4+Xbxjvp9TI2bvRlwwY/0tLkPPZYNl266HjjDeeU6MXEKFmwIIjdu73w87PSt28KLVsa7qsrqtPJ6dChEjabhHXroq7vbgoCbN4sStq9vUVJ+/PPl5yk3WyWcviwmr17tfz6q7hP7ubm4KWXzDRqZKJBA2OR7VclJirYvt2bbdt8SExU4u1to0WLdFq1MpQJKZ8gwNq1fsyeHUxERC4LFsRQqVLB/12xsQpGjw7n1CkVr7+eztixCXh5lb5mhckkpWfPikRFufHFF9cKXRbqougQBPj2W19mzw7G09PBuHHxHD2q5ttv/WjQQIzbdOV2lxxnz4rO7z//fLPzu+6+rjOPGnY7bNjgy6JFQVitEj78MJUePXQPdBaJjVUwe3YIe/dqiYjIYcSIJF55peAN2AchLU3G3r1isX70qBqbTUJISC5Nmhh59VUjzzyT5TpLlwCCAL/+qmbevGAuX3bnqaeyGDw4mRdeKD0N9TxcBXoJsHGjDwsXBv2nwL7VRfxWU7Mbv37Q+KLMTCkXLrhfl8efP+/O5cvu2Gxi0a5SiWZ0Tzwh7rVXq2ahUqWcUi8VcVZOnPBk5MhwUlMV9OuXTI8eOnJyJHTtWunf3PGoAhdJp0550L17JRo2NDJ37o199EuX3PjmGz++/96b3FwpDRoY6dxZT506mU7ZWdTrZXzxRSCbNonO7N276+jaVf/AE9xLl9zo0qUSoaG5rF59FUGAiRND+fHHkpW0JyfL2b9fjEL74w8VVqsUb+8b++QvvWQuMsdmq1XC/v0atmzx4bff1AiChJdeMtO6dRqNGpmcsmHzIFgsEiZMCGPXLm8aNTIydWrBCxlBgO3bvZk+PQSZDMaMSeDNN0u3PDwtTUbXrpXQ6eQsX3610NMfXBQtUVFujBwZzrlzHrRunUalStnMnRtChQo5LFoUXWBfExdFQ2ysgtWrRef37GwpDRsa6dFDd8dVrEeVM2fcmTgxjLNnPahb18SYMYmFYsL2229qpk0L4do1N+rXNzF8eGKhppfciYwMKfv3i8X64cNqrFYpAQFWmjQRJ+u1amWWisjRsoTdDjt3erN4cRDJyQpeftnEoEFJTusXcztcBboLcnMlXL7sxvnzHpw9KxbuFy+6Y7GI7T+l0sFjj4kO8nmF+2OPZReqGdWjTEaGlIkTw9i924sXXjDj4eHg4EENixffvxR15Uo/5swJYcSIBMqXz2XNGn+OHFHj7u6gRQsDHTvqnTbPNStLwjffiM7s2dlSWrUy0LdvCv7+Dy8X/O03NX37lqdGjSz0ejlxcUoGDBAbIsXV5c6Ldckrys+cEc1nypXLoVEjEw0bGnn22awivZFfvapk2zYfvvvOh7Q0OYGBVlq2NPDuuwbCw8vW4T42VsHgweW4eNGdfv1S+PDDgq8vGAwyPv00lF9+8aJ2bTNTpsQTElI2vj+JiQo6d66E1Sph1aqoYjnAuig8rFYJixcHsmKFP+XK5dKpk55FiwKRSmHu3NgHjvJ0UXikpcnYsEF0fk9Pl/Pss6Lze8OGj7bzu8kkZeHCIL791hd/fxvDhycWugTZapWwbp0vS5cGkpMjoUsXPb16pRabcZjZLOXgQQ2RkVoOHdKQnS3Fx8dG48Zisf7CC2bXwKsYyc6WsH69H199FYDZLGXkyEQ6dCgdZqmuAt3FbbHbITra7Xrkm5jZ7o7RKFYPUqlAxYo51+Xxef+/nbTaxb3Jm9ZNnBiKzSalRQsDU6bE3/fnsVgkdOpUiYsX3QEJAQFWOnTQ06aN4aFzQ4sKmw2++86HJUtEZ/YmTTIYOPBWZ/aHQRBg1KgwfvjBBw8PO599Fl0sknabDU6cUF03eYuPVwJQo0bWdZO3SpVyilTJYLFI2LPHi82bfThxQoVcLtCggYnWrdOoV89cJvdXf/tNzccfhyMIEmbMiKV+/YI3un79VYxPS08X49O6dHGu+LTCICpKSbdulXB3d7B6dRTBwa6d2dLGsWMqRo8OQ6dT8P77eg4dUhMb68bo0Qm3pH24KBnynN/XrPEnPl5JhQo5dO+u46230suMSqkgCAL8+KMXs2YFk5Ym5/339fTvn1Kkaxk6nZx584LYscOHgAArQ4Yk8eabGcWqGszKknDokIY9e7QcOKAhK0uGVmujYUMTr74qquQepddBSZKRIWXZsgDefTe91KyeuAp0FwVGEMTpS/6i3YOUlBvtwLCw3Os57XmFe0CA6/BXEH75RcOgQeXRam0YjXLee0/PsGFJBcofT02Vs369L5s2iR17hcKBSuVg27aL+Ps7Z9NEEODgQQ3z5gVx5Yo7zzyTxdChSYUuBzSbpXz6aSg//eRNaGguCQlKRoxIpFOne8evPQiZmeI++b59Wg4eVGM0ylEqHdSpk0mjRkYaNjQVy3vi3Dl3tmzxYdcub0wmGeXL59CqlYEWLdILRZXgjAiCmGqwcGEQVarksGBBDBERBWv0WCwS5s4NZsMGP6pUyWb69Lj7zkYvTZw5407PnhUJCrKycuVVfHycs4Hn4s5kZEiZMkVc13nmmUwUCoHjx9W8/76e4cMTXbJaJ8Fmg8hI0fn93DkPAgKsdOwoGrOWdef36GglkyeH8vvvap58Usw0v5eRbWFy+rQH06aFcOaMJzVrZjJqVGKJrPbk5Ej47Tc1e/Zo2bdPi8kkQ6Wy88orJpo1M1KvnsmlSnWRD1eB7uKh0etl1+Pe8gr3mBi36x/397dez2nPK9zDw61Ouf9cUly44EbnzpWoUiWHL764xhdfBLJqlT9VqmQzc2Ysjz12+47f+fPurFnjx65dXtjtEho1MtG5sw6FQqBbt0rUr29iwYIYp/te//236LZ5/LiK8uVzGDQomSZNCt9t89w50aU9Pl5J//7JdOumY9iwCPbu1bJwYQwNGxaOkUxKipz9+8Up+dGj4j65l1fePrmJunXNxeKCbjJJ2bXLmy1bfDh3zgM3NwdNmxpp3TqN55/PcrrXQWGSmSll7Ngw9uzxonnzdCZMiC/wDv+ZM+6MGhXO1avudOqkY9Ag549PKwyOHfOkd+8KPPZYNsuWXSsz+bGPEoIAP/zgxZQpoQgC1KyZyaFDWl580czs2TGl0tCwrJIXbbpiRQBHjqhRqey0a5dGx476IokIK0lyciQsX+7P118HoFSKmeZt26aViGLL4YDt231YsCAIg0FG27ZpDBiQUmKqQqtVwtGjKiIjtezdqyU9XY6Hh4OXXxaL9QYNTK5rsQtXge6iaDCbpZw/756vcI+KcsNuFysEjcZOtWqWfwt3sWivWDHnkez46/UyOnSojM0mYcOGK9enq4cPqxkzJgyTScawYUm0b5+GRCLebA4e1LB6tR/Hjqnx8LDTsmU6HTvq8xmtrF7tx6xZIXz8cSJduhTNtPh+iY0Vndl//lnMq+zTJ4XWrQs/r1IQYONGX2bODMbb286sWbHUqiVO5i0WCd27i27Wq1Y9mFGWIMDly27Xo9D+/lvcJw8Pz/1Xum6kZs2i3Se/+bmcPOnJli0+7N7tRXa2lKpVLbRubeCNN9IfiQP61atKBg0qx7VrbgwZkkSXLvoCNSPsdjE+7bPPAvH1tTF5chwvvfRo7fDu369h0KByPPdcJp99Fv1INCbKIvHxYtrAiRMqnn46i3PnPAgLy2Xhwmin9R15lDl3zp0VK244v7/1luj8XhaSM44cUTFlSijR0W40b57Oxx8nOYWS0miU8tlngWzY4IdKZWfAADEvuyTPnTYbHD+uup61rtcrUCod1K1r5tVXjbzyitG1OvqI4irQXRQbOTmiGd3Zsx7Xi/eLF93JzhYXPN3cHDz+eHa+aftjj2WX6QOj1Srhgw8qcOaMB6tW3ZrVrdfLGDs2nEOHNNSvb+S557LYts2H6Gg3goNz6dhRT6tWhttewAUBBg0qx8GDGlaujOKZZyy3PKa4SEuT8eWXAXz7rS8KBXTpoqN7d12RdInNZikTJoTx889e1KtnYtq0uFvku6mpYvyawyFh7dorBdrBtdnEQnjfPlGiFhcn7pM//XQWjRqJzuuVKxftPvnN6PUydu70ZssWX65dc0OlsvPmm2I82hNPZJfpafnN7NunYfTocBQKgVmzYgucoRsXJxY0J0+qeO21DMaNS7hnnGFZZedOL0aPjqBRIyNz58Y8ko3SssDNDSet1obNJkUQYObMWF5++f4MR10UD3FxovP7tm03nN+7dxed30vbNVynkzNzZjA//uhNuXI5jBmTQN26ztfwvHTJjenTQ/jjDzVVq1oYOTKxRGNW87Db4dQpT/bs0RIZ6UVysgK5XFyPe/VVsfHvWkV6dHAV6C5KFJsNrl1zyxf7du6cByaTqIOSyQQqVcqhenXL9cK9WrXsMpH5Kgjw6aehbNniy4wZsbzxxu0jnBIT5YwbF87RoypAQsWK2fTtm0KTJsZ7Tp4zMqS8914VHA7YtOlKsRcgFovozL5s2Q1n9j59Uoqsm37unDtDh0aQkCC6tHfvfmeX9osXxfi1iIhcVq26elsJelZW3j65hoMHNWRkiPv9N++TBwYW32TAbocjR9Rs3erDvn1abDYJtWpl0qqVgWbNMoosls0ZcTjgs88C+eKLQJ54wsL8+TEFcloXBPjuOzE+TSKB0aMTeOut4jUPckbWrvVl+vRQWrQwMGlSfJkzxnuU+OcfD0aNCufaNSW+vnbS00UVVqdOBVOWuCh+DAYZGzb4sn69HwaDnGeeyaJ791QaNXJ+53e7XVSsLVwYRE7OjUxzZx6uCAJERmqZPTuYxEQlzZunM2RIktMYZjoc4vt4zx4tu3d7ER+vRCYTeP75TJo1M9KkibHMesm4EHEV6C6cDkEQ5Xo3x76dO+eOTnejGo2IyMkX+1atmgV//9LVWcw7EH/wQSoDBybf8vF//vFg9Wo/IiO9cDjghRcyiY5WkJSkpHt3Hf37JxdIGv7PPx507lyRevXMLFwYUyw3e7sdduwQMyhTUhQ0amRk0KDkInPPFAT49ltR0u7rK0raC2I2d+iQmv79y/Pyy+KuvkwmTtdv3ifPzZWi1ebfJy/u/bCEBAXbt/uwbZs3SUlKfH1ttGhhoGVLwyMpX83IkDJqVAS//qrhnXcMjB2bUCAzxfR0MT5tzx4vnnsuk6lT4wgNLRvxaYXB0qUBfPZZEJ066Rg+PMlVzJVisrIkzJoVwubNvmg0dkwmGS1biu8Vl3O082KxSNi+3YdVq244v3frJjq/O2PBe+aMO5MmhXLmjCcvvmhm7Fgx4rW0YLFIWLYsgBUr/JHJBHr1SqVLF71TvUcEQfQbiowUJ+vXrrkhkQjUrJlFs2ZGmjY1Ehzsuo+VNUqsQJdIJK8DCwAZ8LUgCNNv85h2wARAAE4LgtDhbp/TVaCXbXQ6+fVJe95ee57MGCAgwHrTpF2ctoeGOqcZ3ZEjKvr0qXDdxC2vaLbbYd8+LWvW+HHihAqVyk6rVmJ+eViYNd+h66mnspgxIy7f3vmdyGsGDB2aSLduRbePLghiTNW8ecFcvuxOjRqiM3ve/ndRYDKJkvbdu72oX9/ElCm3StrvxoYNvkyZEsqzz2bicEj46y9xnzwsTNwnb9zYRM2amcUu+7VaJezfr2HLFh9++00NwEsvmWnd2kCjRiYUCuc5QBQnFy+6MWhQORITFYwcmUS7dmkFeo8fPqxm3LgwDAYZ/fun0K2brkxGzD0MggAzZgSzdq0//fol07t3akk/JRcPyb59GsaPF71M7HYJNWtmMm9eDH5+pauh/ahhs8GePVqWLw/g3DkP/P1vOL87w06yySRl8eIgNmzwxdfXxvDhSbz+eulVIsXFKZg1K4S9e7VEROQwYkQSr7xSOCayhYkgwJUrbteL9UuX3AExurVZswyaNjUSHu4q1ssCJVKgSyQSGXARaAbEAceA9wVBOHvTYx4DNgKNBUEwSCSSQEEQUu72eV0F+qOH0SjlwgWPfwt3sWi/evWGGZ1Wa8tnRPfEE9mUL59Togfz6GglHTpUIjDQxjffRKFSOTCbpWzb5sPatX7ExysJCxP3y1u2NNxWzh8ZqWXChFBsNgljxiTy9tvpd70xCgIMHSq6l69cGcWzzxb+Pvo//3gwd24Qx46pKVdOdGZv2rTwndlv5uxZ0aU9IUHJwIHJdO16Z0n7zdhs4q6XuE+uITZWTB0ICcmlTRsDDRsaeeyx4tsnv5moKCXbtvmwY4cPaWlygoNzadkynXffNTzy096fftIyfnw4arWduXNjCvQ6zs6WMG9eMOvW+VG5cjbTpsWVSMxOacHhgLFjw9i504dRoxLo0CGtpJ+Si4dEp5MzdmwYhw9rkEoFAgKsLFkSTdWqpd+QrKwjCHD0qIrly0Xnd09PO23bGujUSVcicmxBgJ9/1jJzZgg6nZz33ktjwIBkp2gaFAa//aZm+vRgrl51p359EyNGJDq1IuDaNeV1Gfy5cx4AVK9u+XeynkHFis773F3cnZIq0F8CJgiC8Nq/vx8FIAjCtJseMxO4KAjC1wX9vK4C3QWIB/JLl9zzxb5dvOhObq5YuXl4OHjssfyxb489llMskiaTSUqnTpVIS5Ozbt0VpFJYt86PrVt9MJtl1KqVSefOeho1Mt6ziZCUpGDkyHD+/FPFG2+kM3Zswl0zVU0mKe3aVcFqlbBp0+VCMxuJjVWycGEgP/3kja+vjd69RWfUwnZmvxlBECffs2YVXNKelSXhyBE1e/dqOXhQcz0v/oUXMmnY0MjevVqOHlWzaFE0DRoUr6GSxSJh924vtm714cQJFXK5wCuvGGnd2kDduuZHftJrs8H8+cGsWuVPzZqZzJkTWyAfg7Nnxfi0qCh3OnTQM3hwUoGk8I86VisMGVKO/fu1TJsWy1tv3d4fw0XpQRBg/XpfZs8OxmaToFAIzJwZS5MmzjcldHF7zp1zZ+VK0fldIoE33kinWzfdHWNYC5vYWCVTpoRw+LCG6tUtjB+fwFNPlZz5bFFhtYrnsqVLA8nJkdCli55evVKdPvosLk7BL7+IxXqeErBKlWyaNTPSrFkGVaqUzNDBxYNRUgV6G+B1QRA++Pf3nYE6giD0v+kx2xGn7PUQZfATBEH46TafqxfQCyAkJOS53bt3F8lzdlG6sVrh6lW3fPL4CxfcMZvFykcuF6hU6YY0Xtxrzy7UC7LdDgMGlOfIETXDhydy7JiKX37RIpVCs2YZdOmiv++bnd0OX38dwNKlgQQHW5kxI/aubu1nz7rTqVMl6tTJZMmS6IfaRzcYRGf2DRtuOLN366YrcgM/k0nKJ5+EERnpRYMGRqZMib9jnqlOl7dPruH339Xk5krRaOw0aCC6rr/88o198qwsCd26VSI6Wsnq1VepWrXop6xnz7qzZYsPu3Z5YzbLqFAhh1atDLz9tqHUeSoUFWlpMoYPj+DoUTXt2+sZPjzpnvJ+ux1WrPBnyZJAfHzsTJ4cT926Lhfr+yEnR0KfPuU5cULFggUxTin3dHH/XLnixtCh4Vy5Ik7b+vRJpk+fVNfBvRQRH69gzRo/tm71xWKR0qCB6Pz+3HNF4/yemytmmn/1VQAKhcCAAcm0b18ymebFiU4nZ/78IL77zofAQCuDByfx5pulQ8aflCTnl19EGfyJE54IgoQKFXJo2lQs1qtXf3SSXkorzlygfw9YgXZAOHAQeFoQhPQ7fV7XBN3F/eBwQHy8Mp8R3fnz7uj1N0a/5cvn5It9q1bNgq/vgxVOs2cHsWpVAGFhucTHK9Fo7LRtm8b77+sfWqp26pQHI0dGkJSkoG/fFHr2TL3jzTNv53rgwCQ++EB3318rO1vCN9/4sWxZAFlZUlq2NNC3b0qxuJmfOePOsGHi/vHtJO2CIDZi9u4VTd7+/tsDQZBc3ydv1EjcJ7/TdD8lRU6HDpUBWLfuSpH8m4xGKbt2ebN1qw/nznng5ubg1VczaN3aQK1apS9apyg5c8adQYPKkZYmZ/z4BN55J/2ef+fmPOhmzTIYPz7hjg0cF3fHbJbSs2dFrlxx4/PPrzlFFJGLhyc3V8L8+YGsWeMPSKhbV/RCcalLShfp6aLz+7p1ovN7jRpZdO+uK5ACr6AcPapi8uRQrl1z47XXMhg+PLFYk0ucgb/+8mDatBD++ceTmjUzGTUqsVStSel0cvbu1RAZ6cWxYyrsdvFMlFesP/20xemTAh5FnFni/jlwVBCEFf/+/hdgpCAIx+70eV0FuovCIDVVnk8ef+6cB/HxN8zogoKs+WLfqlfPJjj4zmZ0RqOUyZND+fFHbwDKlcuhUyc977yTfttorwfFZJIyaZL4dWrXNjN1atxtC39BgI8/jmDPHi3Lll3luecKdujOc2ZfsiSI5GQFDRuKzuyVKxe9vO5meaafn41Zs2Kv7x/nZYfu26dl/34N0dHiPvkTT1j+LcqNPP54waVdFy6406VLRcqXz2XlyqhCiS4TBPjzT0+2bvVh924vcnKkVKtmoXVrA2+8kV5m9vcKk+3bvZk0KRQ/Pxvz5sXw5JN3PxAJAnz/vTdTpoQAMHr0vb0ZXNybtDQZXbtWQqeTs2zZVZ54ovQcTF3cnaNHVQwaVA6zWUZgoJVvvrlCSMijVXyVBSwWCTt2+LBypT9xcUrKl8+ha1cdLVo8uPO7Tidj9uwQfvjBm4iIHMaMSaRevUdXheRwiPGc8+cHYzDIaNs2jQEDUkpd8zc9Xca+fRp27/bi999V2GxSAgOt1w3matbMKvPKiNJCSRXockT5ehMgHtEkroMgCGdueszriMZxXSUSiT9wEnhWEIQ7WlC7CnQXRUVGhozz528Y0Z075861a244HOLp38vLdkvsm1QqTqs3b/YlJ0eKRmNj4sR4GjcuulxTQRCL6ClTQlAoBCZOjL/tjqHZLOW99yqTnS1l06bLd1UFCIIYRzZ3rujM/vTTWQwZklRs07TbSdqVSgdHjqjZt0/cJzcY5MjlefnkJl55xfhQqoSDB9UMGFCeBg1MzJ8f88A3LJ1Oxo4dPmzb5sO1a26o1XbefDOdVq0MrkLnDlitEmbMCObbb/2oU8fMzJmx91StZGTImDgxlN27vahVS4xPCwt7tA31CpOkJAWdO1ckN1fKqlVRVKjgMh4qK2RkSBkwoDwnT6pQKBzMmRNLo0audYbSiN1+w/n97FkP/PysdOqkp23bNLy8CtYEdjhg82Yf5s8PxmKR0LOnjg8+SHWpK/7FaJSydGkg69f7oVLZGTBA9Nwp7pSXwsBolHLggDhZP3xYXAH087PSpIkY3Va7dvGn17i4QUnGrL0BzEfcL18uCMIUiUQyETguCMIOiUQiAeYArwN2YIogCBvu9jldBbqL4iQrK8+MTpy0nz3rwaVLbthsedW3+P6RSkGlsjN/fgw1a1qKJR4rOlrJiBHhnDnjSdu2aXz8cSIeHvm/7vnz7nTsWInatTP57LPb76OfOePOvHnBHD2qJiIih48+Sua114rWmf2/X3/YsHIkJSn44ANRRn/woIYjR9T/Nj3s1K9/Y5+8MPff163zZdq0UDp3FjOhC4rdLkZ6bd3qw4EDWmw2CbVqZdKypYFXX80olIl8WSU1Vc7QoRGcPKmiW7dUBg5MvucB4cgRFWPHhpOWJqNfvxS6d3fFpxUFV68q6datEm5uDlavvurK3S1DCAJ8/bU/ixYFIQjQvn0aY8YklvTTcvGACAL88YeKFSv8OXxYg6ennTZtDHTurL/r+/bcOXcmTw7lr788qVPHzJgxCS4X8Dtw+bIb06eHcPSomscftzBqVGKpXgHKzJTy669qIiO9+PVXDRaLFG9vG40amWjWLIMXX8ws9dGuer0MjcbhVBn3d6PECvSiwFWguygprFYJP/2kZfVqf86f98DT00758jlcvepGdrYUECtaudxBlSo5N8W+WXj88ZxClbrf/JwWLQpkxYoAKlXKZubMuFuMzzZu9GHSpDAGDEimV68bmcdxcQoWLgzixx+98fERndnbtjUU2wVaEMQCefbsEDw8HAQFWblyxQ1BkBAaKu6TN2xo4rnn7rxPXhhMny5mQo8Zk0D79nePm4qPV7Btmw/bt/uQnKzA19dGixYGWrY0UKmS65BzL06d8mDIEFFuO3FiHK+/brzr47OzJSxYEMQ33/hTsWI206fHuVQJRczZs+707FmRgAArK1defWA/DhfOyT//uPPBBxXJzJRRuXI2K1dG4e3tWr8pzVy4IDq///jjnZ3fMzOlLF4cyLp1fnh72xk2LJG33iodZmgliSCIioVZs4JJTFTSvHk6Q4YklUj8XWFisUj47Tc1u3d7ceCAhsxMGRqNnVdeEYv1unXNpUpRodPJWLkygI0bfRkyJOmeZzlnwVWgu3DxEGRkyNi0yYf16/1ISVFQqVI2nTrpefPNdCZMCOOnn7yYPz+GSpVybpLHixN3g0EcDUokAuXL5+YzoqtePbvQdpuOHFExenQ4GRkyhg5NokOHtOs3XkGAESPC+flnL77++hqPPZbNF1+IzuxyOXTurKNHj6J3Zs/DbocjR9RMnx5yfZccxFzPRo2MNG5s4vHHi8991G6HgQPL8euvGhYvjqZ+/fw7eLm5Evbt07B1qw9HjqgBqFvXTOvWBho2NJX6jnNxIAjw7be+zJgRTEiIlfnzY3j88bv7Gly44M7IkeFcvuyKTytujh/3pHfvClSunMOyZVeL7drgoniwWCR061aRs2c9cXNzMH9+NC+/nFnST8vFQ5KQIDq/b9nig8Uio359E926pWIwyJk5M4TUVDlt26bx0UfJBZbDuxCxWCQsXx7A8uX+yGTw4YepdOmie+D9f2ciN1fC77+r2L3bi337NBiNcjw87DRoYKZZswzq1zcXyYCpMNDp5KxY4c/Gjb7k5kp4440MevVKKTWqEFeB7sLFA3D1qpJvvvFjxw4fsrOlvPSSmS5ddNSta0YqFeWCCxYE39EpXRAgOVmez4ju/Hl3EhNvmNGFhOTe4iAfFGR7oOI0LU3G+PFhHDigpUEDI5MmxV+ffmVmSmnXrjI6nRyJBCwWKe++KzqzBwUVfSfYYpFc3yffu1e8AYDYtOjQQU/jxqYSldNmZUnp2rUiMTFKVq+OomrVHK5ccWPrVh927vTGYJATHJxLy5bptGxpICTEJf0tKDk5EiZNCuW773yoX9/EtGmxdz0c2u2wapU/ixaJ8WmTJsU/0sZFJcXBg2oGDixPzZqZLF0aXSYOoi5uIAgwa1Ywa9b4AdCuXRojR9473tCF85ORITq/r1njR0aGOCQIC8tl+vQbxqsuHoy4OAVz5gSzZ48XERE5DB+exCuvmMqMEsFqhWPH1ERGatm7V0tamhw3Nwcvv2yiaVMjr7xiQqMp+WJdp5OzfLk/mzaJhflbb6Xz4Yeppc47xVWgu3BRQARBdL1ds8aPgwe1KJUO3nornU6d9PnkYvv2aRg4sBzNm2cwfXrcfV2c09Nl/8a93chrj45WIgjiJ/H1tVGtWn4H+YiI3AKZzuU5oc+ZE4xWa2fKlHjq1DHz/ffezJ0bRFqaAm9vG19/fZWqVYvWmV2vl3HwoIa9e7X8/rua7Gwpbm4OcnMleHnZmTEjlrp1nWdqk5Qkxq/l5koID8/lzBlP5HKBRo2MtGpl4KWXzK695/skMVHB4MERnDnjyf/+l0Lfvil3fR0nJCgYMyac48dVNG2awSefuOLTSpIffvBi1KhwXnnFxLx5MS4zoTLI3r0ahg2LwGqVUr58DgsXRrvWdUo5ubkSVq7058svAxAE8PR0kJ4uLxTndxciv/2mYsaMEKKi3Hn5ZRMjRiSWuuLwXtjtcOKEishILXv2aElNVaBQOHjpJTNNm4pqRy+v4r0/p6beKMxtNglvvplOr16plC9fOr/3rgLdhYt7kJsrYdcuL9as8ePiRQ98fW20b6+nXbs0/PzyX4AuXXKjU6dKVKyYw8qVVwtFdpuVJeXCBfd8hfvlyzfM6FQqO1WrZucr2itVyr7jbvaFC24MHx5BVJQ7Pj42DAY5Tz2VxfPPZ7JyZQD/b+++w5sq2weOf5+MNulI96ItW5b7FV8HKiBuRZayy3Ch8oKCsocDZChLHICKooAoCAqIC7SIovBDFBFllQLdO03TmXV+f5xOZhFok/J8rourbdqUp+1Jcu7z3OPppzN56qnsU9/5PBw96lU5Cm3PHh8URRAVZePmmwtJTPTmjz986dhR7dJe10/sp6Moat3t2rXBbNwYQGmpFi8vF08+mUXPnuaT/v5S7ezc6cuYMbHYbIIZM1K4/fbTd41WFDUYfOWVRrhcMGFCOt26yfFp7mDVqmBmzGjEgw+amTYtVc7SbYCOHvXi0UebkZ2tQ6dTmDAhnYcfNsvHnwfatcuXadOiOHrUwJ13Whg3Lp3QUAfff2/i/fdD+ftvH4KDHQwYkEufPrky1f082O2walUIixaFU1oqiIvLZdiwbHx9G97v1OVSZ8Vv3hzA5s0m0tO90OkUrr++iDvvtHD77QUX9VwpK0sNzD/7TA3MH3hADcwbN/bMwLyCDNAl6TTy8rR8+mkwn34aTG6unpYtSxk0KIf77rOc8gqz2aylXz91l3XVqiMXNT3cbhckJHhXdo8/cMDAwYMGSkrUbVy93sVll5XVSI9v1aoUo1Hhn38MzJkTya5das10dLSNRYuO0bSpjYkTY9i0KYB33z3GDTec3w52xZP2Dz+YiI83ceyYWlNeUU/eubMVu10wZkwsmZl6nn02g0GDct3ixM9i0bBpUyDr1gVx8KARg8HFXXdZaN68jIULI+jcuYB585JlQHKOFAU++iiEefMiadq0jAULks5YD2axaHjllUZ8/XUg115bxCuvpBAbK0sI3MnixWG89VYEAwbkMG5chls8fqULy2LR8MwzTdi92xeA224r4OWXU+UFSg+Rm6tl3rxINmwIIjraxsSJadx2W83SIEWB337zZelStfO70VjV+V2Wbf17OTlaXn89ki++CCIszM6oURkNugFfxabGd98FsGWLiaQkbzQaheuuK+KOO9TxbeHhF+bcODNTx/vvh/HZZ0E4nYKuXdXAPDbWswPzCjJAl6QTJCR4s2JFCBs3BmKzabj1VitxcTnceGPRaZ9U7XYYNqwpf/7pw7JlR7nyyrqv5XI61fFqBw4YawTuFXVmGo2Cj4+LwkItBoOT7t3NtGtXwty5UdhsggkT0rnrrgL69WtOQYGWzz47QmjouT2RlpYKduzwIz7en61b1RolnU6hffuiyqA8KsqOosDKlSHMnRtBWJiD115L5uqr67f+reIEZe3aIDZvNmGzaWjbtoSePc3cd18+JpN65XvFihBmz45iyJBsnnsus17X7EmKiwUvvhjN118HcscdFqZPTz3jbsKOHer4tNxcHU8/ncUjj2TLMgI3pCjw6quRrFgRetGyb6T653CodekffxyKEAoBAU5eeSXlpEBPch8uF6xdG8SCBREUF2sYOjSHxx/PPmnk6okOHvRm2bKwys7v996rdn4/W/NO6fT27jUyc2YU+/b5cM01RUyYkN7gp44oChw65M2WLerO+pEjBgCuuUYN1u+8s4BGjc794k9Gho6lS8NYty4Il0vw4INmHnssu8FdvJcBuiShPpFs3+7H8uUh/PKLP97eLrp2zScuLpfmzc/+ojRtWhSrV4cwY0YyXbta6mDFtVPxBPnWWxH8+KM/AAaDi+LiqkgnMtJGaamG/Hwd//lPEYMHZzNuXGOuuqqYd945dtagyGzW8uOP/sTHm/j1Vz9KSjT4+VXMJ7dyyy01G4dYLBqmTo3hhx9MdOpUwPTp9ZvSnpOjY/16dbc8Kckbf38n992XT8+e5lO+gCoKzJgRxSefhDB1aioPP2yuh1V7luRkL555pjEJCd6MHJnJo4/mnPZiV1mZOj5t+fJQmjYtY9asZC6/vGGfyHg6lwumTIlmw4Ygxo9PY8AAzxhjI527NWuCeOWVRmg0Cna7hj59cnnuuYyzBn1S3Tp40MC0aY34808f2rcvYsqUtFqdy1R3Yuf3W26x8sgjObRvf/rNCun0XC5Yvz6QBQsiMZu1PPSQmREjMgkKujQyURITvStr1g8cMAJw+eXF3HmnGqyfLSU9I0PPe++Fsm5dEIoi6NZNDcxjYhpWYF5BBujSJa20VPDll4GsWBHCkSMGwsLs9O2bx8MP59X6SfPTT4OZPr0RQ4dmM3q0++yolpUJPv44hHffDaOwUEO3bvkMH55JZKSDvDxtjUZ0+/cbSEqqGmtmMDgpLdVy7bVFDByYS9u2pcTE2CpflI8f9yI+Xg3K9+zxweUSRETYy3fJC7j++uJTdvz96y8jzz8fS1aWnlGjMoiLq5+UdocDfvnFj7Vrg/nxR3+cTsF11xXRq5eZO+6wnPVk0+GAESOa8Ouvfrz99nFuvlnuIp3OTz/5MW5cLEIovPZayhl/VwcPejN+fCwJCQb69s1l9Gh54u8pHA4YPbox8fEmt7tQKV1Yu3b5MGpUY0pKNNhsGpo1K2X27BTatpUX0upbcbGGt94KZ+XKEAICnDz/fAYPPHB+PTssFrXcb+XKEPLy1J41Q4fm0KVLgcxq+hesVg2LFqlz5319nQwfnkXv3nmXVKPNpCQvtmwxsXmziX37fABo3bqkcme9RYuqi0knBubdu6uBeXR0wwzMK8gAXbok5eToWLUqmDVrgjGbdbRtW0JcXC733GM5p1Ey//d/vjzxRFM6dLCycGGSW7xYuVywaVMgb7wRTnq6F7feauXZZzPOmp5WVKThq68CeP31CCwWLd7eCmVlAlBf2Y1GJwEBTkpKNJVp861alXD77VY6dy6gbdvTzydXFDU1fN68CMLD1ZT2q66q+5T21FQ969YF8cUXQWRl6QkOdtCtm5kePcznPBuzqEjDoEHNSEtTx69V7+QvqcfhO++E8fbb4bRuXcr8+UmnvdLtcqm16QsXRmAyOXn55VSZOuuBysoETz+t1iovWJBEp06nb/4nebaUFD0jRjQhMdEbHx8XJSWCESOyGDIkxy1eBy81iqJ23Z85sxGZmXoeeiiPZ5/NvKDZaaWlgg0bAvnww1CSkrxp3Liq8/uFaIh7qTlyxJuZM6PYudOPVq1KGD8+neuvL67vZdW59HR9ZbBe0UC4efNSbryxkOxsHT/8YEII6NEjn8cey/5XafGeSAbo9SQ9XS8bb9SDgwcNfPRRCF99FYDTKejY0cqgQbn/KmUrOdmLfv2aExLiYOXKRPz86r875y+/+DFvXgQHDxpp166E557L4L//Pbdmb4WFGqZPb8SmTYHo9S4UBby8lPK0eAWNBlwu9Zfl7e3isstqdpC/7LLSGi/WFouGKVNiiI830blzAdOmpdRpd1ibTfDDD/6sWxfMjh1qk6MOHQrp1ctMx47W85rtm5Ghp3//5uh0Ch9/nHjONfsNldWqYdIk9W/+wAP5TJ2aetqd8PR0PZMmRbNrlx+3317ACy+kEhx8aaT8NURFRRoee6wphw8bWLTo2CV5wnmpKCzUMGFCDFu3moiOLiM11Zv27YuYMSNFnt/UodRUPTNnRvHjjyZatSphypS0izrT3OmEH35QO7/v21e983ue20xg8RSKAt9/b+K11yJJS/Pinnvyee65TCIjL83HT1aWjnXrgli9OpjsbB0g8PNTyw67d8/niitKLpnyChmg14MxY2L49tsArryymKZNbURE2ImMVP9FRDiIjLRjMjkvmYPwYnO5YNs2f5YvD+H//s8Po9FJ9+75DBiQ+6/nIxYWahg4sDnZ2TpWrUqs93EO+/cbmDcvkh07/IiOtvHMM5ncfbflnLuMm83qfPL4eH+2bfPHbtcACr6+LiZMSKNTJyu+vi6OH/euTI8/cEB9a7Wq2yZarUKzZmoHeZPJyTffBGCx6Oo8pT0hwZt164LYuDGQ/HwdUVE2evQw06NH/gV98fv7bwNDhzanZctSli49esmnZCcmevPMM41JTvbi+eczGDDg9H/zivFpDgeMH59Bjx5yfFNDYDZrGTKkGZmZet5//2iDb4Z0KXM64Y03Ili6NIymTUvJzNSj08GUKWnce68sc7iY7HbBhx+GsGRJOEIoDB+exYABuXWWKq02VvXhgw/C+OkntfN7r15mBg2Snd/PVWmp4IMPQlm6NAyNBh57LJvBg3MuqZn0qal63n03jPXrAxEC7rsvn2bNbOza5cvOnX44HOpo3i5dCrjrrgKuvrq4QU/SkQF6PdiwIYAXXohGr1cwmZzk5OhxOmuelRqNLiIi7JXBe/UgvuJjf3+XPJk9g+JiwYYNQaxcGcKxY95ERNjp3z+XXr3yzmsH1+mEZ59tzE8/+bNkyfmPIzsfaWl63ngjgk2bAjCZnAwblk2fPnl4edX+sZuc7MUPP6j15H/8odaTh4er9eRXXFHC4sVhpKZ607p1CR99lIiPz8nfW1HUJ9equnYDv//uS1FRVa5jTIytxti3tm1LCA29sFfbi4s1fPutibVrg/nzTx90Ohe3326lZ08zN95YeNFSL3/4wZ9nn23MHXcUMGfOpTt+bcsWE5MmRWMwKMydm0T79qfePa0+Pu3qq4uZOTOlwYxGkVQZGToGDWpOaamGZcsSad5c/n0bso0bA3jxxWiCgx2YTE4OHTJy//35TJqUVqNJqHRh/PabD9OnN+LIEQN33GFh3LiMet11PXTImw8/DOWrrwJRFLjnHgtDh2bTurUs/ToXqal65s6NZPPmAGJibIwdm06nTtYGfa6fkqLnvffCWL8+CCEUevY089hjOTWOZ4tFw9ataoO57dv9sNs1hIXZ6dJFrVn/z3+KGlwNvwzQ60l8vD8jRzZh4MAcnnsug9xcHRkZejIy9GRm6k96PydHV5lWXMHHx1lj1/3EQD4iwu4Wadd1LTNTx6pVIaxZE0RBgdrQZNCgXO64w4Jef/7ff8ECdbdg4sQ0+vWrn27FFouG994LY+XKEDQaGDAgl0cfza4cBXYmLhfs22ckPt5EfLx/5eiLyy4rpXPnAm6/vYB27arqye126Nu3BYcOGQkPt/Hmm0lnbAZksWiZPDmarVtN3HKLle7dzSQlqTvuBw4YSE6uakYXFmanTZuKgF1Nk4+Otp/Ti5GiwN9/G/nssyC+/jqA4mItzZqV0quXma5d8+ssXfrDD0OYMyfK7ZoF1gWnE958M4L33gvjqquKmTs3icjIU6f779zpy6RJMeTk6HjyySweeyy7wb2wSqpjx7wYPLg5Xl4uPvroqNxVa+D27jXyzDNq87iOHQv49ttAIiLszJiRwnXXyVKHC8FsVmeaf/FFEI0a2Zg4MZ2OHd2n10N6up6PPqrq/N6hg9r5/frrZef3c/Hrr77MmhVFYqKBDh2sjBuXfs59ctxdcrIamG/YoAbmvXqZefTR7NOeO1QoLNSwbZs/mzeb+Plnf0pLNQQHO+jcWQ3W//vfwgtyrl/fZIBej2bNimTlylAWLjxO585nfoK12yEnR09mZlUgf2Iwn5urQ1FqPgP6+TlrBO6n2pE/1Y6oJ/r7bwMffRTKd98F4HJBly4FxMXlcs01xRfshWHTpgDGj4/loYfymDo1rc5fcMrKBKtWBfPOO+HVOrNnnfXKeVmZYOdOX+LjTfz4oz/Z2Xq0WoXrriuic2crnToVnHFURWmpoHv3y0hLU+83alQmAwfmnrRT/OefRsaMiSU7W8dzz2WeMr3ZatVw4IChcl77/v1GEhO9K7NI/P2dtGlTUqOuvWnTspOCOItFy5dfBrBuXRCHDhkxGl3cdZeFXr3MF/RvXluKAtOnq+P2XnghlYceujTGr1ksWsaNi2H7dn969cpj4sT0U2Zw2GyChQsj+PDDUJo0KWPmzBSuvLLuGwVKdevAAQOPPNKMkBAHy5YlEhIia1QbsowMHSNHNuHAAQO9e+fx88/+pKfrefTRbJ56KqtBnDjXB5cLvvgiiHnzIigq0jJ4cA7DhmW5bUmVxaJh9eoQVqxQO79ffrna+f2OO2Tn99qy2+GTT0J4++1wSks1DByYw7Bh2R6/8ZacrOfdd8PZsCEQrbYqMI+IOPcePsXFgp9/9mfLFvXctrhYi8nkoFMnK3fdVcBNNxWeU0apO5EBej2y2QQDBzYnLU3PZ58dOe/0JLtdkJWlO+0ufGamjtzck18dTSbHGXfhIyPtbtuh0+mErVv9+eijUH7/3RdfXyc9epgZMCD3gs9G3LfPyODBzbjyyhLefffYeTUXO1dqZ/YA3ngjgvR0L265Re3Mfqb0sfz8qnry7dv9KCnR4uPjpEOHQjp3LuC22wrPqaHL0aNe9OnTAr1eoaBAR4cOVqZPTyE01ImiqF24FyyIJCLCzmuvJZ9T8FVaKkhIMFTusu/fb+TQIQNlZeoVAIPBRatWpbRuXYKPj4uEBAO7dvlis2lo166EXr3yuPdeS72nUjoc8L//NWHHDj8WLTrGTTfVX/lDXTh40MAzzzQmK0vHxInpp70oceiQOj7t8GEDvXurc5MbyoVB6ex+/92HYcOa0qxZGUuXHq33x6l0cZWUCKZMUXvt3HtvPjqdwsaNQVx+uVrO0tB2Ai+2Q4e8mT69EX/84ct//qPONG/Z0jNSx8vKqjq/Hz/uTUyMjSFDcujWzey255XuJidHy8KFkXz+eRChoXZGj87k/vvzPa6ULinJi3feCePLL9XA/OGH83jkkRzCwy9Mc92yMsEvv/ixZYuJ+HgTVqsWX18nt92mBusdOljd9oLWqcgAvZ4dP+5F794taNNGbTB1sVM9bTZBZqauWtBeM5DPzNSTl3fyIgIDHSfsvjtqBPDh4XUbxBcVafj8c7W+PCXFi+hoG/3759Kzp/miXF3MytLRt28LvLwUPv74SJ12mf71V1/mz49k/34jbduWMHp0BjfeeOrALzlZX566rtaTO52CsDA7nTqpo9BuuKHovK4mfvVVAOPGxXLTTdbyCyIuJk5M48svA9m61USXLhZefjm1Vqn2Z+NwwLFj3uzfb2T3biM7dviTlqavzBIRQiE2toxrrqlKj2/durTery4XFmqIi2tOZqae5csTa8zzbEi+/DKAl16KxmRyMn9+0inH5rlcsHx5CK+/HoG/v4tp01Lk+LRL1LZtfjzzTBOuvrqYxYuPyZPzBk5RYMmSMN56K4KrriqmZ8885s+PxGbT8Pzz6Tz8sGwIeTbFxYLFi8NZvjwUPz8no0dn0L37+c00ry9OJ8THq53f//pL7fzer18uffvmERgos2pq46+/jMycGcVff/lw9dXFTJiQxuWXu38DzqQkL5YsCWPTpkB0OjUwHzr0wgXmp2K3q1mjW7aY+P57E/n5OoxGF2PHnn4jwd3IAN0NbNwYwMSJsQwblsX//pdV38uhrEyQlaU/IZW+Zo18fv7JQXxQUFXQfqpd+IgIx3mnmqSl6fn4Y7W+qbBQyzXXFDFoUC6dOxdctIsbpaWCoUObceSIN8uXJ9ZZ05ODBw3MmxfBL7/4Ex1tY8SITO69t2ZndpcL/vnHWNnkLSFBrSdv2bKintxKu3YlF/RK60svNeKzz4KZODGVDz8MJTXVG41GYfToDAYNunBd2h0O2L7dn7Vrg9i2zR+nU3D99YV06lRASIiTI0fU4H3/fkONzJDGjcuqNaJT39Z1Wm1amjp+zWBQWLHiyAVvhlef7HaYNy+SFStCue66IubMSTrlz5eRoWPy5Bh27vSjU6cCXnwxVaY3X+K++iqA8eNj6NjRyrx5STLd+RKwebOJSZNiMJmcvPhiCh9+GMaOHepzwksvyZGKpxMf78/MmVGkp3vRs2ceo0ZlNohAVlFg924f3n+/ovO7i54984iLyyU6WvaoOBuXC9avD2TBgkjMZi09e5oZOTLTLR9Hx49X7Zh7eVUF5mFhdTuO1uGA3bt92bzZxP33W7j2Ws/ohyEDdDcxeXI0GzYE8t57x855bnV9KCkRlTvup6uJrxi7VV1wsOOkbvTV3w8Pt5/ypG3PHiPLl4eyZYsJIeCuuyzExeVe9BpWRYEJE2LYtCmQBQuO06XLxW/Gkp6u5803w9m4MRB/fydPPJFNv35Vndlttpr15FlZejQahf/8p5jOnQvo3LmA2NiL90JXWioYMKA5SUle2O0aDAYXRUVa2rQpYfbs5PPu1pycrOfzz4NYvz6IrCw9ISF2unXLp0cPM02bnvp7Z2frThr7lprqVfn58HD7CR3kS4mKOrdmdOdq3z4jQ4c2o1UrNTumIewY5uRoGTOmMb/95suAAWqDy1M9Xr/+OoBp0xrhcAjGjk2nVy+5WyapPv00mOnTG/HAA/m88kqKx6VpSufuwAEDI0Y0Jj9fx8svp5CdrWfBgghMJifTpqVy660yq6ZCWpo603zrVhMtW5YydWqaxwQU5+rwYW+WLavq/H733RaGDs2hTRv33xWub1arhkWLwlm1KgSj0cXw4Zn06ZPnFg1Xjx714p13wvnqqwC8vBR691YD89DQug3MPZ0M0N1EcbGGPn1aUFSkYc2ahAax01RcrCEjQ3dCHXzNt4WFNYN4IRRCQ9UgPizMjt2u1ianp3vh4+PkgQcsDBmSfVED0OqWLg1lwYJIRozI5Iknsi/q/2WxaFi6VO3MDlWd2QMCXFgsWrZt8yM+Xh0xUVysxWh0cssthXTubOXWW611dnU9P1/L6NGx7NrlR0CAgw0bDrF3ry9TpkRTVqZh3Lh0evY8t4DMZhP88IM/a9cGs2OHHxqNwi23qOPRbrvN+q922iwWDQcPGmsE7kePeldOQwgIcFQ2oqt426SJ7YI2sNmyxcTo0bHceWcBr73m2ePX/vrLyLPPNqagQMvUqal07XryjOOCAg0zZjRi06ZArrqqmBkzUmjSRNabSjW9804Yb7wRQf/+uYwfny4v3lwCcnK0jBrVmD17fHnqqSw6d7YwcWIsCQkG+vXLZfTojAZxEfPfstthxYpQFi0KB+Cpp7IYODDnksgyycjQs3x5CJ99FkRxsZabb7YydGgON9wgO7+fzZEj3syaFcWOHX60bFnKxInpXH99/WzyJSaqgfnXX6uBeZ8+eQwZkt2gMgjrkgzQ3cjBgwb692/Of/9bxFtvHffok/naKizUnFQHn5ys56+/fEhN9cLhOPnZWaOpCuJP150+LMxx3oHW1q3+jBzZmLvvtvDqqykX7YXCZqvozB6G1aqla9d8/ve/rMqara1b/dm92xenUxAaWrOe3Nu7bh+je/aoXdpzcnTcf38+69cHM3hwDs8/n1HeKExNab7zTgsvvJB61nnzCQnerF0bxJdfBpKfryM62kaPHma6dTOfddTGv1FSIjh82FCZGn/ggIHDhw3YbOqDzWh00bp1RcCuBu0tW5adV0PADz4IZd68SB57LJtnnvHM8Wvr1gUxfXoU4eEOFixIOuUOx65dvkycGE12tp5hw7J4/HE5Pk06NUWBOXMi+eijUJ56Kounn67/0i7p4rPZBC+/3Ij164O4804LU6emsmRJOCtWhNK8eSmzZ6dckrunf/zhw8svNyIhwUCnTgVMmJBOo0aXXrq3xaJhzZpgVqwIITdXT7t2JQwdms0dd1y8EsaGQFHghx/8ee21KFJTvbj7bgvPPZdRZ2MtExO9WLJEDcwNBoW+fXMZPDinQWw01icZoLuZTz4J5pVXGvHcc+kMGZJb38upU8nJelauDOHzz9WrqO3bFxEXl8N//lNEdvapO9NXvF9SUvNqhlZbFcSfmEpf8XFIyOmD+IQEbwYMaE7TpjaWLUu8KJ0fXS61JvPNNyNITfXi5putPPhgPomJ3sTHmzh8uGY9eadOVq644sLWk5/LWj/8MJSFCyOIiLAzd24Sl19eyvTpUXz6aUjlqECXSw1I33wzgtBQO7NmnTz/trhYw7ffmvjss2D27vVBp3PRpYuVXr3yuOGGojr/+ex2SEz05sCBqt32gwcNFBWpB4dO56Jly7IaY99aty7Fx6d2zegURa3bX7s2mJdfTqFHj/yL+NNcWDabYNasKNasCebmm63Mnp1yUqaGzSZ4881wli0LJTbWxsyZKadsGCdJ1SkKTJ0azRdfBDFuXDoDB15ar3eXqoqJH/PmRdKqVSlvvJFEYqI3kydHYzZrGTkyi8GDcy6JDYr8fC3z50ewbl0wkZE2JkxI5/bb3WemeX0pKxNs3BjIsmVVnd8HD1Y7v3tSF+66Vloq+OCDUJYuDUMIeOyxbIYMybloGzmJid4sXhzGN98EYDC46Ns3jyFDctyyHt4TyQDdzSgKjB4dy9atJj76KLHBzwlWFHUEz/LlIfzwgwmtFu65x0JcXA7t2tXuSrqiqKm1p+tKX/FxxciuCjqdQnj4yXXw/v5OXn89EodD8MknCURFXfid3B07fJk3T+3MHhtbRvPmZezfb6ysJ7/22uLKJm+xsfWbIpyfr2XSpGi2bTNxxx0WXnqpqkt7WZkgLq45qal61qw5UnnVf98+I2PHxpCa6sXjj2czbFgWBw4YWbs2iK+/DqC4WEuLFqX06GHmwQfzCQpyryd0lwuSk71qpMcfOGCsnHAghEKTJrYajejati097c9ht8Pw4U3ZtcuXxYuPccMN7t9nIjNTx+jRjdm714dHH81mxIjMky5oJSR4M358DAcPGnnooTzGjMmo9YULSXI44PnnY/n++wBeeSWFBx/Mr+8lSXVk2zY/xo2LxdvbxYIFSTRpYuOllxrx/fcB/Pe/hbzySup5j551V4oCX3wRyLx5kVitWgYNyuHJJ7Plc+cJKsbovv9+GHv3+hAUpHZ+79dPdn4/k7Q0PXPmRLJ5cwDR0TbGjk2nc2frBcsCPXLEmyVLqgLz/v3zGDw4x+3O4zydDNDdkMWioXfvlggBq1cnXJCRVe7Gbodvvw1g+fJQ/vnHSECAg9698+jbN++ijF5QFDXQPN0ufEWneru9ZhCv17sID3ecdj58ZKSdoCBnrZ/4Dh705rXXItm50x+DwYmiCMrKNBiN6nzyTp2s3Hab1W2e6PbsMfL8843Jy9MyZkwGffvmnfSzJierowKbNSvjww+PVqaDFxVpePHFRnzzTSAGg4vSUg1Go4t77rHQs2ceV19d4lH1ZYqijts7cMDIP/+oAfuBAwbS0qqa0UVG2mqkx7dtW0pEhNqMzmpVx69lZelZseLIeTfTu5h27/bhuediKSnRMH16KnfeWVDj8y4XfPxxCPPnR+Dn5+Kll1Lp1Enu/EjnrqxMMHx4E377zZf585Po3FkeR5eKI0e8GTGiMRkZel58MY2uXfP5/PMgZs2KRKeDqVNTueeegrN/Iw+SkODNtGmN+P13X669tojJk9No1aphjuK8UCo2cj74IJQffzRhNLro0cPMoEE5svP7GezY4cusWVEcOWKgQwcrY8emn9d5x+HD3ixZEs5336l/g/798xg0SAbmF4sM0N3Unj1GhgxpTpcuBcyZk+xRgcyZWCxa1qwJYtWqELKy9DRtWkZcXA5du+bXe+qSmnLZiC++CKZ//xyaNLGd1NguM1OHw1EziPfycp0QvJ+cWn/0qBevvhrFvn3G8nsJQkLUevLbb6+fevIzqUhpf/31CKKi7MyZk3TGeZubN5sYPboxAwfmMGZMBrt2+bJ2bRDff2/CZtOg0Sjo9QqTJ6fSvfvJzcU8mcWiraxnr6htP3bMu3Jee2BgVTO6iAg7ixaF4+fn4uOPj7hdKpiiwMcfBzNnThQxMTYWLEg6aY57ZqaOKVNi+PVXPzp2VMenySYw0vkoLtbw2GNNOXjQwOLFx+utyZFU9/LztTz/fCw7d/oxdKjapyM11YsJE2LYu9eHrl3NTJyYjp+fZ29UlJQIliwJ58MPQ/H1dTJ6dCbdu5sviVT+CykhQe38vmlTAIoiuOsutfN727aXXu+C2rDb4dNPQ3j77XBKSjQMHJjDsGHZ5/R4OnSoIjAPwMfHyYABuQwalCuzGC4yGaC7sYoO4lOnpvLww+b6Xs55OXbMixUrQtiwIYiSEg033lhIXFwOt9xS6DYvUKtXBzFtWjRDhmTz3HOnbublckFe3ul34jMz9WRl6U/Z3A7UeubYWBtXXlnMVVeVEBVVEcQ7MJlqvxN/MZnNWiZNiuGnn/y56y4LL76Yir//2Z/Mp0xRL26EhNjJzdXj7++ka9d8evY04+vrZNy4WPbu9aFbN/WEqyGn8xUXCw4dqjn27fBh72oXdxR8fV3cf38+V1yh7rS3aHF+zejOV2mp2sBp48YgOnUqYMaMlJP+7t9+a+Lllxtht2sYMyadhx6S49OkCyM/X8uQIc3IyNCzdOnRM14QlBoWux1mz1b7mdx2WwGzZ6fg7e3inXfCeeedMKKi7MycmeKx48Z+/NGfGTOiSEvzols3M6NHZ7jdxVlPk5GhY8WKUD77LIiiIi033VTI0KHZ3Hij7Px+Krm5WhYujODzz4MICXEwalQmDzyQf8bz74MH1cB88+YAfH2d9O8vA/O6JAN0N+ZywVNPNWH3bl9WrTrCZZd5VhqUosD//Z8vH30UwrZtJvR6F/ffb2HgwBxat3avn2XXLh+eeKIZN95YyJtvHv9XHeDtdsGuXb58/70/P/xgIidHD6iPoeBgBy1alGGzacjM1JGdrcfprPkqYjS6TupGf+L7tQmUz8cff/gwZkwseXlaxo7NoE+fk1Paq3M44Kef/Fm3LoiffvLH6RRotQqjR6fTu7e5xtgcux0WLQrnvffCaNzYxuzZyZfUSbjdLjhyxJv9+w18910AP//sj1brwulUXyH1erUZXfWxb61aleLjc/Gfh1NT9Ywa1ZgDBww8/XQWTzyRXeOF22rVMGtWFBs2BHHllcXMnCnHp0kXXmamjkGDmlNcrOHDD4/SvLl7vU5IF9ennwYzc2YUTZuW8cYbx4mNtbNnj5Hx42NJT9fz2GPZPPlklseMHsvI0DNrViTffx9AixalTJ6cRvv2nnmRwV0VFFR1fs/J0dO2bQlDh+Zw550W2fn9FPbtMzJzZhR79/pw9dXFTJiQdtJ5mJrJFMaWLQH4+VUF5gEBMjCvSzJAd3M5OVoeeqglgYFOVq06Uu9p4LVhswm++iqA5ctDOHTISHCwgz598ujdO9ctU2FTUvT069eCoCAHK1cmnlMQXFCg4aef/ImPN/Hzz34UFWnR611otVBaqqF9+0LGjs04Kf3K4YCcHN0ZG9tlZ+sq06Qr+Po6z5pO7+t77kF8Rff1N96IoFEjG3PmJJ+xSV9ysheffx7IF18EkZ2tJzTUTrdu+dx0k5VRo5oQG2tj+fJEvLxOPl537fJhwoRYcnO1PPNMJoMG5bpNFkVdqsiQ6dMnl+uuKy5Pk1dT5PPzq5rRNW2qdpBv165q/NuFfKH85Rdfxo2LxekUzJqVzG23Fdb4/O7dPkycGENmpp4nnsjm8cc95wRZ8jxJSV4MGtQMnQ6WL0+ss1FBknvYudOX0aNjEQLmz0/m+uuLKCxULxCuXx/EFVcUM2uWe18gtNvVHh1vvRWOogiGDcti8ODces2QauhsNsGXXwbywQehHDvmTXS02vm9e3fZ+f1ELhds2BDI/PmRmM1aevY0M3JkJllZehYvDuP779XAfMCAXOLiZGBeX2SA7gF+/dWXYcOa0qOHmZdeSqvv5ZxWXp6W1auD+eSTYHJz9bRsWUpcXC7335/vVvXV1RUVaRg4sDlZWTo+/jixVi/6aWl64uPVoHz3bl8cDrWevF27Uo4d8yI52ZvWrUsYPTqTm28uPOv3Ox27HXJyajaxOzGtXt2lr8nfXw3iT7cLHxFhr7ErazZrmTgxhp9/PnNKe1mZ4PvvTaxbF8TOnX5oNAq33mqlZ08zt95qrQzavv/en2efbUK/frlMnJh+yp/NYtHywgtqx96bbirklVdSCAu78M0B3ZmiwIsvNmLdumCmT0+hW7f8ytszM/WVHeQr6tszMqqa0TVqpDaja9OmhHbt1Lfh4Y5zSu1TFHj/fXV0XvPmZbz+ehKNG1cd/3a74K23wnn//VBiYtTxaVdf3bCnSkju4eBBA0OHNiMkxMGyZYlynu4lJinJixEjGpOU5M2ECWn07q2W+H33nYmXXlJLbMaOTadXL/crsdmzx8i0aY04dMjIbbcVMHFiumxkVodcrqrO73/+6UNgoIP+/XPp2zdPNjM7gdWqYfHicFauDEEIcDgEfn5O4uJyGTAgh4CAhluG6AlkgO4hFi4M5913w5k9O5n77nOvJltHjnizfHkIX34ZSFmZhg4drAwalMNNN7l3LZDLBc8+25ht2/xZtOgYN9106sZEigL79xvYutVEfLw/Bw6ojd6aNSulc2crLVuWsmlTINu3+xMZaWPkyCzuv//MtT0Xit0uyMo6OXCvvitfMRqsOpPJQUSEA6PRxeHDBsrKBPffn0/XrvmVdfEVV50PH/Zm3bogNm4MxGLRER1to0cPM927m4mIOHVQPXt2JCtWhDJ3bhJ33XXqLryKAp99FsSrr0ZhNLqYPj3lpN3bhs5uh6eeasru3T68886Zm2OZzdrKXfaKuvbjx70qsyyCgx010uPbti0lJsZ2yuOwqEjDlCnRbN4cwN13W3j55dQaPQGOHPFmwoQY9u830qtXHmPHyvFpUt364w8fnniiKc2albF06dGLXt4juRerVcO4cbH89JM//frlMnZsOjqdWns8eXIMO3f60blzAS+9lOoWgZfFos40X7s2mIgIOxMmpHH77RdutJV07v74w4f33w9l61YTBkNV5/eYGHnBBOCffwwsWhTO1q0mtFoFp1PQvHkpkyal89//ykad9U0G6B7C4YChQ5tx+LCB1auP1Njpqg+KAr/84sfy5SFs3+6Pt7eLrl3ziYvL9Zi6wYqLHuPHpzFgQF6Nz6n15D7Ex5vYutWfjAwvhKiaT96pkxWDQeHNN8PZsCEQPz8XTzyRRb9+eW6XLWCzicrd94rAPT1dz65dvhw96o1GAy7XyWcRRqM6Bq60VO3C3qJFGbfeauWmmwpp1EgN4k/3s9rtgsGDm3H0qDerVx854yz3I0e8GTs2hkOHjAwYkMOoUZlu9zu8mAoK1PFrOTk6VqxIpFmz2j+2i4o0HDxoqDGv/cgRQ2WTQl9fZ2XAXrHjrtUqPP98Y44e9WbUqAwGD86tPIms6OI+f34kPj7q+DQ59kqqLz//7MeIEU246qpiliw5VqOnhdTwOZ2wYEEEy5aFccMNhcydm0xAgBOXC5YvD+H11yMICHAyfXoqHTrUz8VdRYGNGwOZOzcSi0XLwIG5PP10lryg6UYSE7354INQvvwyAJdLcPfdFoYMyTljGV9D9vffBhYvVgNzf38ngwbl0L9/Lrt2+fLaa1Gkpnpx110Wnn8+Q5YY1SMZoHuQ9HQ9vXq1JDbWxooVifVSz1RaKti0KZAVK0JISDAQGmqnb988evf2rPShr78OYOzYWHr1yuOFF9Iq51T//LM/8fH+/PSTP4WFWgwGFzfdVEjnzgV07GglONiJ1aph6dIwVqwIweWC/v3zePzxbI+p08nLU1Pat2/35+671ZR2vV4hI0PPL7/48d13Afz5pxG7XYOPjxNfXyelpRqs1pN34oODHTXS6aun0guhMHJkE6Kj7SxfnnjGoLusTDB/fgQrV4bSqlUJr72W4jEXei6ElBQ9Awa0wNfXycqVief1WLLZBAkJ3tXS440cOmSgpKSqg7xWCzffbKVTJytt2pRy2WWlWK1apkyJ5pdf/Ln1Visvv5xKaOilVXYguZ+vvw5g3LgYbr3VyoIFSbL/wSVo/fpAXnqpEVFRdt5443jlLOeDBw2MHx9DQoKBAQNyePbZzDq9iJOYqM40/+03X666qpipU9No3frSDPo8QWamjpUrQ1i9OpiiIi033qh2fnf3bM8LZd8+I4sWhbFtmwmTycGgQbn0759bIzuptFTwwQehLF0ahhDw6KPZDB2ac0ltmrgLGaB7mIr63ri4HMaOzaiz/zcnR8cnnwSzenUwZrOONm1KiIvL5Z57LKdsBObO/v7bwODBzbn88hKmT08pD8pN7Nrlg8OhITjYQceOVjp3LuDGGwsrU71tNsHq1cEsWRJGfr6O++7LZ+TITI+qL9u924exY2PJz9cyblw6Dz9sxmLR8uWXgaxdG0RCggGj0cU991jo1SuPq64qqXzhKi4WNZrYVU+jr/jYaj11+/ugIDvXXltyypr4sDB75Un3tm1+TJkSQ3GxOsbr4Yfdr8bwYtmzx8ijjzbjiitKePfdYxf0cVV9jFFwsJ3GjW0kJnpTUFDVjK7i99ylSwF9+uTRtm0JJpPcBZLqX8UIzPvvz2fGjJRLsqnkpW7PHiPPPNMEm03w2mvJ3HKLumNeWipYsEC9uNuyZSmzZqVc9CC5pETw7rthfPBBKEajwqhRGfTqJWeaewqrtarze3a2njZt1M7vd93VMDu///WXkUWLwvnpJ38CAqoC8zPNQk9L0zNnTiSbNwcQHW1jzJh0WbJRx2SA7oFmzIhi1aoQ3nzzOB07Xtz004MHvVm+PJSvvgrA4RB07Ghl0KBc2rf3zCuOWVk6HnqoBQ6HICrKzqFDaj1506ZldO5cwO23F3DllSU1xqy5XPDttwG8/noEqale3HBDIaNHZ3hUepTLpTYEe/PNCKKjbbz6ajJWq5Z164LYssWE3a7hyiuL6dHDzL33Ws74xH0mxcWa8oBdVxnAb95s4vBhIxERNoqKtBQW1gzihVAIDXVUGyXnZPduX44f96Z9+0ImTEinefOyBvnCeaJvvjExZkxj7rsvn1mzUi7IY6ygQMPEiTH8+KOJbt3MTJ6chsGgoCiQkODNzJlR7Nrlh5+fEy8vpUbPguhoW2U9e5s26ttLrZmf5B7eey+U11+PpF+/XCZMSPfI1x/p/KSn6xkxojGHDxt47rkM4uKqynO2b/dj8uRoLBZ1Okhc3MWZDrJtmx8zZjQiNdWLBx9UZ5rLJoaeyWYTbNoUwAcfhHL0qIHoaBtxcTn06GGuk/GmF9vevWpg/vPPamA+eHAu/fqdOTA/0Y4dvsyaFcWRIwZuvtnKuHHplRks0sUlA3QPVFYmGDiwORkZetasSSAy8sKeMLtc6mzr5ctD2LnTD6PRRbduZgYOzHXr0SanY7fD7t2+bNmidiC32zUIoXDNNcV06qTulJ+u7nfXLl/mzo3g7799aNWqqjO7J50cVk9p79TJQuvWZXz5ZSCpqV6YTA66ds2nRw/zRZtNb7fD0KHNSUjw5tNPjxAS4jjlLnz1LvXFxScH8WFhjhq77yd2pg8Lc/yr+fXu5t13w1i4MIKnnsri6aezzut7JSR48+yzjUlN9WLcuPQac+1//10dn5aerufxx7MZNkwdn5aTo63RiG7/fgPJyd6V3zM01F6jEV2bNiXExNg96jEheR5FgXnz1HrkJ5/MYvjw83tsSJ6puFgwaVIMW7YE0L27mSlT0iqzjfLytLz4YjTx8SZuuKGQ6dNTLtj5UUaGjldfjWLz5gCaNStl8mTZSKuhcLngxx/9ef/9UPbs8SUgwEG/fnn065dLcLDnXXz58081MN++3Z/AQAeDB+fQr1/evxrBC+o53OrVwbz1VgQlJRoGDMjlySez/vVGjlQ7MkD3UMeOedG7dwvatStl6dKjFyQwKS4WbNwYxIoVIRw75k14uJ0BA3Lp1SvP48YtFBZq+PlnP+LjTfz0kz9WqxaNRsHlEvTtm8OwYdlnnMl++LA3CxZEsG2bichIGyNGqJ3ZPS0A/O03NaXdbNbSrFkZR44YcLkEN9xQSM+eZrp0KaiT2qKMDD0PPdSCyEg7K1eeuR5dUdQUtMxMPTt3+vLuu2Hk5elo1aqUwEAnWVlqYF9VU63SahXCwk4/Hz4y0k5IiMPt0xAVBaZMiWb9+iBmzEima9d/N7Xh229NTJkSja+vi3nzkrn22mJAbeC3aFEYS5eG0aiRnZkzk7nmmjOPT7Na1WZ0FXPa9+83kpjojdOpRuX+/k7atKnZQb5p00sj60GqO9VHE44dm05cXG59L0mqBy4XLFoUzuLF4Vx7bRHz5ydV7mIrCqxbF8Ts2VHo9S5eeCHttJNEasPhoDxjMRynUzBsWDZDhuTImeYNVPXO797eLrp3NzN4cO4ZG926iz17jCxeXBWYDxmSQ9++/z4wP1FurpaFCyP4/PMggoMdjBqVSdeudTOx6FIkA3QPtmFDIJMmxZz3Tltmpo5Vq0JYsyaIggIdV1xRTFxcLnfeafGohjwZGTp+/FEdhbZzpy8Oh4agILWe3OWCDRuCGD48kyefzD7t98jM1PHWWxGsXx+Ir6+Lxx7Lpn//XI/rHuxywdy5kXz0UQhaLTidgtBQO927q7vl9TEFYNs2P4YPb8rDD+cxdWpare9XXKxh5swovvgiiKuuKmb27GSio+0UFGhPOx++4v2yspqvHDqdQni4/Yw78cHBznp/wbHbBU8+2YQ//vDh3XePcd11xbW+r8MBCxdG8MEHYVxzTRFz5yYTHq7uIiUmejN+vDo+rUcPM+PGpf/rF++yMrUZ3T//VO22HzpkqPyde3u7aNWqtNroN7UZnWw2I50PpxPGjIll8+YApk9PoVu3/PpeklRPvvnGxOTJMQQHO3jjjaQatefHj3sxfnwM+/b50K2bmfHj0895x2/vXnWm+YEDRm65xcrEiWnExnpOzxnp30tM9GbZslA2blQ7v995ZwFDh2Zz+eXuV9q4Z4+Rt9+O4Ndf/QgKqgrML9YkgX37jMycGcXevT5cdVUxEyemueXvxdPJAN3DTZoUzZdfBvLee8fOOEP5VP7+28Dy5aF8+20ALpfaHCouLpdrrin2iHRVRYFDh7yJjzcRH2/in3/UevLGjcu4/fYCOne2cvXVxWzf7sf//teEO+8sYM6c5FP+bFarhg8+CGX58lCcTujXT+3MHhjoWelNZWWCL74IZOHCiPIGYAq33FJI79553Hqrtd53NOfPj+D998OYPTuZ++47t53hb74x8fLL0SgKTJ6cxv33n/n+igL5+drTNrSrCO7t9prRuF7vIjy8agf+VMF8UJDzoj9GLBYNAwe2wGzWsnJlYq3KS8xmLWPHxrJjhx99+uQyblwGer1ab/7JJ8HMnRuJ0ejixRdT6dLlwvevcDjg2LHqHeTVXfeK5oFarULz5mU1xr61aVMqZ1xL58RmEwwf3qS8BCnpohzLkmf4+28DI0c2wWrVMHNmSo1jwW6HxYvDee+9MKKi7MyadfZsIVCfexcujGDNmmDCwhyMH5/OHXcUeMR5kXRhZWVVdX4vLNRyww2FPPJIDjfdVP+ljr//7sOiReHs2OFHcLAamPfpc/EC8+pcLnW84Pz5EeTl6ejRw8zIkZmyH8MFJAN0D1dcrKFPnxYUF2tYsybhrPUyTids3erP8uWh7N7ti4+Pk549zQwYkEtMjPtfGbbb4ffffdm6Ve28npqqzie/8sqS8iZvVpo1K6t84kxM9KZ//+Y0bmxj2bLEkxp/2O2C1auDWLIkHLNZ7cw+YkSmR/wuqjt0yJt164L44osgioq0gELnzgVMnJh+wXsUnA+HAx59tBkHDhj45JMj5zTzGyA1Vc/48THs2ePLgw+amTjx3+8Ag/oiYzafHMRXr5HPzNThcNQM4r28XNWC9lOn0wcEnH8Qn5zsxYABzTGZnKxYkXjGC0b//GNg1KjG5OTomDw5jR498gHIztYxZUo027f706GDlWnTUuu00ZuiqGPkKtLjK97m5FSl58TGltGmTSnt2lUF7mcqQZGk4mINjz/elP37DSxadJwbbpD1wJeq7GwdzzzTmL/+8uF//8vkiSeyazz3/vGHDxMmqP02nngimyeeyDpldqCiwKZNAbz2WhT5+Vr6989l+HBZayupmziffaZ2fs/K0tO6tdr5/e67677z++7damC+c6camD/ySDYPP5xXL43trFYNS5aEs3JlCEaji+HDM+ndO8+jsm/dVYMK0IUQ2cDx+l5HLYUCOfW9CEk6B/KYlTyJPF4lTyOPWcmTyONV8jSedMw2URQl7FSf8LgA3ZMIIX473ZURSXJH8piVPIk8XiVPI49ZyZPI41XyNA3lmJV9+SRJkiRJkiRJkiTJDcgAXZIkSZIkSZIkSZLcgAzQL6536nsBknSO5DEreRJ5vEqeRh6zkieRx6vkaRrEMStr0CVJkiRJkiRJkiTJDcgddEmSJEmSJEmSJElyAzJAvwCEEPcIIQ4KIRKEEONP8XlvIcSn5Z/fKYRoWg/LlCSgVsfraCHEP0KIvUKI74UQTepjnZJU4WzHbLWv6yWEUIQQHt/BVfJctTlehRC9y59n/xZCfFzXa5Sk6mpxXtBYCBEvhPij/NzgvvpYpyQBCCHeF0JkCSH2nebzQgixsPx43iuE+E9dr/F8yQD9PAkhtMBbwL1AO6CfEKLdCV/2KGBWFKUlMB+YXberlCRVLY/XP4D2iqJcBXwGvFq3q5SkKrU8ZhFC+APPADvrdoWSVKU2x6sQ4jJgAtBBUZTLgWfrep2SVKGWz7GTgdWKolwL9AXerttVSlINy4B7zvD5e4HLyv89ASyqgzVdUDJAP3//BRIURUlUFMUGfAJ0O+FrugEflr//GdBFCCHqcI2SVOGsx6uiKPGKohSXf7gDiKnjNUpSdbV5jgWYhnrxs7QuFydJJ6jN8fo48JaiKGYARVGy6niNklRdbY5ZBTCVvx8ApNXh+iSpBkVRtgF5Z/iSbsBHimoHECiEiKqb1V0YMkA/f9FAcrWPU8pvO+XXKIriACxASJ2sTpJqqs3xWt2jwNcXdUWSdGZnPWbL09diFUXZVJcLk6RTqM1zbCuglRBiuxBihxDiTDtBknSx1eaYfREYKIRIAb4CRtTN0iTpXznXc123o6vvBUiS5J6EEAOB9kDH+l6LJJ2OEEIDzAOG1PNSJKm2dKipl51QM5S2CSGuVBQlvz4XJUln0A9YpijKXCHETcByIcQViqK46nthktQQyR3085cKxFb7OKb8tlN+jRBCh5oelFsnq5OkmmpzvCKEuAOYBDyoKEpZHa1Nkk7lbMesP3AFsFUIcQy4EdggG8VJ9aQ2z7EpwAZFUeyKohwFDqEG7JJUH2pzzD4KrAZQFOVXwACE1snqJOnc1epc153JAP387QIuE0I0E0J4oTbP2HDC12wABpe//xDwgyIH0Ev146zHqxDiWmAJanAuayOl+nbGY1ZRFIuiKKGKojRVFKUpat+EBxVF+a1+litd4mpzTvAF6u45QohQ1JT3xDpcoyRVV5tjNgnoAiCEaIsaoGfX6SolqfY2AIPKu7nfCFgURUmv70WdC5nifp4URXEIIf4HfAtogfcVRflbCPEy8JuiKBuApajpQAmoTQ361t+KpUtZLY/X1wA/YE15L8MkRVEerLdFS5e0Wh6zkuQWanm8fgvcJYT4B3ACYxRFkVl1Ur2o5TH7HPCuEGIUasO4IXKjSaovQohVqBc5Q8v7IrwA6AEURVmM2ifhPiABKAaG1s9K/z0hH1+SJEmSJEmSJEmSVP9kirskSZIkSZIkSZIkuQEZoEuSJEmSJEmSJEmSG5ABuiRJkiRJkiRJkiS5ARmgS5IkSZIkSZIkSZIbkAG6JEmSJEmSJEmSJLkBGaBLkiRJkpsSQjiFEHuEEPuEEBuFEIH1uJZj5XO7JUmSJEm6SGSALkmSJEnuq0RRlGsURbkCyAOG1/eCJEmSJEm6eGSALkmSJEme4VcgGkAIsVUI0b78/VAhxLHy932EEKuFEP8IIT4XQuys9nWPCiEOCSH+TwjxrhDizfLbw4QQa4UQu8r/dSi/PUQI8Z0Q4m8hxHuAKL+9qRBif/n3+Lv8a4zln2shhPhGCLFbCPGTEKJN+e0Pl2cB/CmE2FZ+2+Xla9kjhNgrhLisDn+XkiRJkuSWZIAuSZIkSW5OCKEFugAbzvKlTwNmRVHaAVOA68rv36j84xuBDkCbavd5HZivKMr1QC/gvfLbXwB+VhTlcuBzoHG1+1wGvFX+ufzy+wG8A4xQFOU64Hng7fLbpwJ3K4pyNfBg+W1PAq8rinIN0B5IOesvQpIkSZIaOF19L0CSJEmSpNMyCiH2oO6c7wc2n+Xrb0ENuFEUZZ8QYm/57f8FflQUJQ9ACLEGaFX+uTuAdkKIiu9hEkL4AbcBPcu/1yYhhLna/3NUUZQ95e/vBpqW3+dmYE217+Vd/nY7sEwIsRpYV37br8AkIUQMsE5RlMNn+dkkSZIkqcGTO+iSJEmS5L5KyneYm6CmmFfUoDuoeg03nOf/oQFuLK91v0ZRlGhFUQrPcp+yau87US/4a4D8at/nGkVR2gIoivIkMBmIBXYLIUIURfkYdTe9BPhKCHH7ef4ckiRJkuTxZIAuSZIkSW5OUZRiYCTwnBBCBxyjPH0deKjal24HegMIIdoBV5bfvgvoKIQIKr9/r2r3+Q4YUfGBEOKa8ne3Af3Lb7sXCDrLGguAo0KIh8vvI4QQV5e/30JRlJ2KokwFsoFYIURzIFFRlIXAeuCq2v02JEmSJKnhkgG6JEmSJHkARVH+APYC/YA5wFNCiD+A6qPP3gbChBD/ANOBvwGLoiipwAzg/1CD+GOApfw+I4H25Y3a/kGtDQd4CbhNCPE3aqp7Ui2WOQB4VAjxZ/n/3a389teEEH8JIfYBvwB/ol5I2Feewn8F8NE5/DokSZIkqUESiqLU9xokSZIkSboAypvJ6RVFKRVCtAC2AK0VRbEJIfwURSks30H/HHhfUZTP63XBkiRJkiTVIJvESZIkSVLD4QPECyH0qDXrTyuKYiv/3ItCiDtQa9a/A76onyVKkiRJknQ6cgddkiRJkiRJkiRJktyArEGXJEmSJEmSJEmSJDcgA3RJkiRJkiRJkiRJcgMyQJckSZIkSZIkSZIkNyADdEmSJEmSJEmSJElyAzJAlyRJkiRJkiRJkiQ3IAN0SZIkSZIkSZIkSXID/w8jTkHxktiWGQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "alpha = np.random.normal(1, 1, 1000)\n", + "beta = np.random.normal(0, 1, 1000)\n", + "\n", + "rugged_seq = np.linspace(0, 1, 100)\n", + "\n", + "for i in range(100):\n", + " plt.plot(rugged_seq, alpha[i] + beta[i] * rugged_seq, c='blue')\n", + " \n", + "plt.axhline(y=1.3, c='r', ls='--') \n", + "plt.axhline(y=0.7, c='r', ls='--') \n", + " \n", + "plt.ylim((0.5, 1.5))\n", + "plt.title('Using vague priors')\n", + "plt.xlabel('Ruggedness')\n", + "plt.ylabel('Log GDP')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "38439b20", + "metadata": {}, + "source": [ + "### R Code 8.4" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "dd46f215", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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dJK9J8t7W2p5Jbk5yWhZK/BWttVcl2ZLk5Ys8BwAAACw5iyrcvffrkxz9KN86YTE/FwAAAJa6xT6HGwAAAHgUi91SDgDbZd3zXlIdgYGYNwAqKNwAlFj/rOOrIzAQ8wZABVvKASix/L67svy+u6pjMAjzBkAFK9wAlLho/e8kSVa98oLiJIzAvAFQwQo3AAAATEDhBgAAgAko3AAAADABhRsAAAAm4KZpAJR45zEvrY7AQMwbABUUbgBKbHjmsdURGIh5A6CCLeUAlDjs7q057O6t1TEYhHkDoIIVbgBKvOkTv5vEc5GZD/MGQAUr3AAAADABhRsAAAAmoHADAADABBRuAAAAmICbpgFQ4u0/tqo6AgMxbwBUULgBKHHNIc+tjsBAzBsAFWwpB6DEkXfcnCPvuLk6BoMwbwBUULgBKHHuhrU5d8Pa6hgMwrwBUEHhBgAAgAko3AAAADABhRsAAAAmoHADAADABDwWDIASv3X8KdURGIh5A6CCwg1AiesOelZ1BAZi3gCoYEs5ACWO2ropR23dVB2DQZg3ACoo3ACUOOvqS3PW1ZdWx2AQ5g2ACgo3AAAATEDhBgAAgAm4aRoAwBKzct2WuZxn/eoVczkPwK7KCjcAAABMwAo3ACXeeMKa6ggMxLwBUEHhBqDEjfsfVh2BgZg3ACrYUg5AieO+cn2O+8r11TEYhHkDoIIVbgBKvObPL0uSXHPIc2uDMATzBkAFK9wAAAAwAYUbAAAAJqBwAwAAwAQUbgAAAJiAm6YBUOINL351dQQGYt4AqKBwA1Di5qcdVB2BgZg3ACrYUg5AiRNu2pgTbtpYHYNBmDcAKljhBqDEL3zhw0mSDc88tjgJIzBvAFSwwg0AAAATsMINsISsXLdlLudZv3rFXM4DALArs8INAAAAE1C4AQAAYAK2lANQ4syVv1odgYGYNwAqKNwAlLhtn/2qIzAQ8wZABVvKASixctPVWbnp6uoYDMK8AVDBCjcAJVb/5ceSJOufdXxxEkZg3gCoYIUbAAAAJmCFGwCA72nlui1zOc/61Svmch6AebDCDQAAABNQuAEAAGACtpQDUOIXT359dQQGYt4AqKBwA2wn1zMuzrYnPKU6AgOZct78WQDAd2NLOQAlXnbDJ/OyGz5ZHYNBmDcAKijcAJRQgJgn8wZABYUbAAAAJqBwAwAAwAQUbgAAAJiAwg0AAAAT8FgwAEqc+jPnV0dgIOYNgAoKNwAlHtxjr+oIDMS8AVDBlnIASqy+7qNZfd1Hq2MwCPMGQAWFG4ASKzd/Nis3f7Y6BoMwbwBUULgBAABgAosu3K213Vprf9laWz97fWhrbWNr7abW2uWttT0XHxMAAACWlh2xwn1Gkk0Pe31hkot6789Msi3Jq3bAOQAAAGBJWVThbq0dlOQnk/z+7HVL8u+TfGD2lkuTnLyYcwAAAMBStNjHgr01yVlJnjx7/bQk9/TeH5q93prkwEWeA4Bd0KpXXlAdgYGYNwAqbPcKd2ttZZI7e+9f3M7Pr2mtXdtau3bbtm3bGwMAAAB2SotZ4T4uyU+11l6SZK8k+yR5W5J9W2u7z1a5D0py66N9uPe+NsnaJPnhH/7hvogcACxBv7DxQ0mSdx7708VJGIF5A6DCdq9w995f33s/qPd+SJJVSf609/5zST6V5GWzt52S5KpFpwRgl3PC334hJ/ztF6pjMAjzBkCFKZ7DfXaS17XWbsrCNd3vmuAcAAAAsFNb7E3TkiS9908n+fTs65uTHLMjfi4AAAAsVVOscAMAAMDwdsgKNwB8vx7c/fHVERiIeQOggsINQIlTX/4b1REYiHkDoIIt5QAAADABhRuAEq+55v15zTXvr47BIMwbABUUbgBKHLflSzluy5eqYzAI8wZABYUbAAAAJuCmacAuYeW6LXM5z/rVK+ZyHgAAlj4r3AAAADABK9wAlNi29z7VERiIeQOggsINQIlffOkbqiMwEPMGQAVbygEAAGACCjcAJc76zCU56zOXVMdgEOYNgAq2lANQ4qhbN1dHYCDmDYAKVrgBAABgAgo3AAAATEDhBgAAgAm4hhuAErc9+enVERiIeQOggsINQIkz/9OvVUdgIOYNgAq2lAMAAMAEFG4ASpz7ybU595Nrq2MwCPMGQAVbygEoceSdN1dHYCDmDYAKVrgBAABgAgo3AAAATEDhBgAAgAm4hhuAEjc/9cDqCAzEvAFQQeEGoMQbTnxNdQQGYt4AqGBLOQAAAExA4QagxJs+/va86eNvr47BIMwbABVsKQegxGFfv7U6AgMxbwBUsMINAAAAE1C4AQAAYAIKNwAAAEzANdwAlLjxBw6rjsBAzBsAFRRuAEq88UVrqiMwEPMGQAVbygEAAGACCjcAJS76o9/ORX/029UxGIR5A6CCLeUAlFj+ja9VR2Ag5g2ACla4AQAAYAIKNwAAAExA4QYAAIAJuIYbgBLXHXhEdQQGYt4AqKBwA1Dit15wanUEBmLeAKhgSzkAAABMQOEGoMTFH35TLv7wm6pjMAjzBkAFW8oBKLHsgfuqIzAQ8wZABYUb2OFWrtsyl/OsX71iLucBAIDtYUs5AAAATEDhBgAAgAnYUg5AiWtWPKc6AgMxbwBUULgBKPH2415RHYGBmDcAKthSDgAAABNQuAEocckV5+WSK86rjsEgzBsAFWwpB6DEXg99qzoCAzFvAFSwwg0AAAATULgBAABgAgo3AAAATMA13ACU2PCDx1RHYCDmDYAKCjcAJd557E9XR2Ag5g2ACraUAwAAwAQUbgBKXPa+c3LZ+86pjsEgzBsAFRRuAAAAmIDCDQAAABNQuAEAAGACCjcAAABMwGPBACix/ogfr47AQMwbABUUbgBKrDvqJ6sjMBDztjStXLdlLudZv3rFXM4DjMeWcgBK7PWdB7PXdx6sjsEgzBsAFaxwA1Dikj88P0my6pUX1AZhCOYNgApWuAEAAGAC2124W2sHt9Y+1Vq7sbX25dbaGbPjT22t/Ulr7W9mvy/bcXEBAABgaVjMCvdDSX61935kkh9N8suttSOTnJNkQ+/98CQbZq8BAABgKNtduHvvt/Xer5t9/Y0km5IcmOSkJJfO3nZpkpMXmREAAACWnB1y07TW2iFJnpdkY5L9e++3zb51e5L9d8Q5ANi1fODZL6qOwEDMGwAVFl24W2tPSvLBJK/tvd/XWvvn7/Xee2utf5fPrUmyJkmWL1++2BgALDEKEPNk3gCosKi7lLfW9shC2X5v7/1Ds8N3tNaWz76/PMmdj/bZ3vva3vvRvfejly1zXzWA0Sy7/94su//e6hgMwrwBUGExdylvSd6VZFPv/S0P+9ZHkpwy+/qUJFdtfzwAdlUXX/nmXHzlm6tjMAjzBkCFxWwpPy7Jzye5obV2/ezYG5JckOSK1tqrkmxJ8vJFJQQAAIAlaLsLd+/9z5K07/LtE7b35wI71sp1W+ZynvWrV8zlPAAwJX9vAjvSoq7hBgAAAB6dwg0AAAAT2CHP4QaA79e6572kOgIDMW8AVFC4ASix/lnHV0dgIOYNgAq2lANQYvl9d2X5fXdVx2AQ5g2ACla4AShx0frfSZKseuUFxUkYgXkDoIIVbgAAAJiAwg0AAAATULgBAABgAgo3AAAATMBN0wAo8c5jXlodgYGYNwAqKNwAlNjwzGOrIzAQ8wZABVvKAShx2N1bc9jdW6tjMAjzBkAFK9wAlHjTJ343ieciMx/mDYAKVrgBAABgAgo3AAAATEDhBgAAgAko3AAAADABN00DoMTbf2xVdQQGYt4AqKBwwxytXLdlLudZv3rFXM4Di3HNIc+tjsBAzBsAFWwpB6DEkXfcnCPvuLk6BoMwbwBUULgBKHHuhrU5d8Pa6hgMwrwBUEHhBgAAgAko3AAAADABhRsAAAAmoHADAADABDwWDIASv3X8KdURGIh5Y2fmsaGw61K4AShx3UHPqo7AQMwbABVsKQegxFFbN+WorZuqYzAI8wZABYUbgBJnXX1pzrr60uoYDMK8AVBB4QYAAIAJKNwAAAAwAYUbAAAAJqBwAwAAwAQ8FgyAEm88YU11BAZi3gCooHADUOLG/Q+rjsBAzBsAFWwpB6DEcV+5Psd95frqGAzCvAFQwQo3ACVe8+eXJUmuOeS5tUEYgnkDoILCzdBWrtsyl/OsX71iLucBAPhe/PsH5seWcgAAAJiAwg0AAAATULgBAABgAq7hBqDEG1786uoIDMS8AVBB4QagxM1PO6g6AgMxbwBUsKUcgBIn3LQxJ9y0sToGgzBvAFSwwg1AiV/4woeTJBueeWxxEkZg3gCoYIUbAAAAJqBwAwAAwAQUbgAAAJiAwg0AAAATcNM0AEqcufJXqyMwEPMGQAWFG4ASt+2zX3UEBmLeAKhgSzkAJVZuujorN11dHYNBmDcAKljhBqDE6r/8WJJk/bOOL07CCMwbABUUbgAAYFIr122Zy3nWr14xl/PAY2VLOQAAAExA4QYAAIAJKNwAAAAwAddwA1DiF09+fXUEBmLeYDyuG2dnoHADUGLbE55SHYGBmDcAKthSDkCJl93wybzshk9Wx2AQ5g2ACgo3ACUUIObJvAFQwZZyHlXFNS+uswEAAHYlVrgBAABgAgo3AAAATEDhBgAAgAm4hvv75DpjgB3j1J85vzoCAzFvwDyMch8kneixU7gBKPHgHntVR2Ag5g2ACraUA1Bi9XUfzerrPlodg0GYNwAqKNwAlFi5+bNZufmz1TEYhHkDoMIkW8pbaycmeVuS3ZL8fu/9ginOMwrXSAAAACw9O3yFu7W2W5L/keQnkhyZ5BWttSN39HkAAABgZzbFlvJjktzUe7+59/7tJJclOWmC8wAAAMBOa4rCfWCSrz7s9dbZMQAAABhG673v2B/Y2suSnNh7/6+z1z+f5Nje+6sf8b41SdbMXv5Qkr/eoUF2LU9P8rXqEJQzByTmgAXmgMQcsMAckJiDncGK3vt+jzw4xU3Tbk1y8MNeHzQ79i/03tcmWTvB+Xc5rbVre+9HV+egljkgMQcsMAck5oAF5oDEHOzMpthS/hdJDm+tHdpa2zPJqiQfmeA8AAAAsNPa4SvcvfeHWmuvTvKJLDwW7N299y/v6PMAAADAzmyS53D33j+W5GNT/OxB2XpPYg5YYA5IzAELzAGJOWCBOdhJ7fCbpgEAAADTXMMNAAAAw1O4l4jW2n9rrf3v1tr1rbU/bq0dUJ2J+Wut/ffW2ubZLHy4tbZvdSbmr7X2M621L7fW/rG15o6kg2mtndha++vW2k2ttXOq8zB/rbV3t9bubK39VXUW6rTWDm6tfaq1duPs74QzqjMxf621vVprX2itfWk2B79RnYl/yZbyJaK1tk/v/b7Z17+S5Mje++nFsZiz1tp/TPKns5sTXpgkvfezi2MxZ621ZyX5xyT/M8mv9d6vLY7EnLTWdkvyf5L8hyRbs/BkkFf03m8sDcZctdaOT/LNJH/Qe/+R6jzUaK0tT7K8935da+3JSb6Y5GR/HoyltdaSPLH3/s3W2h5J/izJGb33zxdHY8YK9xLxT2V75olJ/E/JgHrvf9x7f2j28vNZeM49g+m9b+q9/3V1Dkock+Sm3vvNvfdvJ7ksyUnFmZiz3vvVSb5enYNavffbeu/Xzb7+RpJNSQ6sTcW89QXfnL3cY/ZLT9iJKNxLSGvtN1trX03yc0nOrc5Duf+S5H9VhwDm6sAkX33Y663xD2wYXmvtkCTPS7KxOAoFWmu7tdauT3Jnkj/pvZuDnYjCvRNprX2ytfZXj/LrpCTpvf967/3gJO9N8uratEzle83B7D2/nuShLMwCu6DHMgcA0Fp7UpIPJnntI3ZEMoje+z/03p+bhZ2Px7TWXGqyE5nkOdxsn977ix7jW9+bheecnzdhHIp8rzlorZ2aZGWSE7qbMOyyvo8/DxjLrUkOftjrg2bHgAHNrtn9YJL39t4/VJ2HWr33e1prn0pyYhI3VdxJWOFeIlprhz/s5UlJNldloU5r7cQkZyX5qd77/dV5gLn7iySHt9YOba3tmWRVko8UZwIKzG6W9a4km3rvb6nOQ43W2n7/9NSa1treWbippp6wE3GX8iWitfbBJD+UhTsTb0lyeu/dqsZgWms3JXl8krtnhz7vbvXjaa29NMnbk+yX5J4k1/feX1wairlprb0kyVuT7Jbk3b3336xNxLy11t6f5IVJnp7kjiTn9d7fVRqKuWut/bskn01yQxb+fZgkb+i9f6wuFfPWWvu3SS7Nwt8Jj0tyRe/9jbWpeDiFGwAAACZgSzkAAABMQOEGAACACSjcAAAAMAGFGwAAACagcAMAAMAEFG4AAACYgMINAAAAE1C4AQAAYAL/DzoFMkDaMTWTAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "plt.hist(beta, bins=30, rwidth=0.9)\n", + "plt.axvline(x=0.6, c='r', ls='--')\n", + "plt.axvline(x=-0.6, c='r', ls='--')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "cb980eb0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.525" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.sum(np.sum(np.abs(beta) > 0.6) / len(beta))" + ] + }, + { + "cell_type": "markdown", + "id": "22780013", + "metadata": {}, + "source": [ + "### R Code 8.5" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "90f575ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "alpha = np.random.normal(1, 0.1, 1000)\n", + "beta = np.random.normal(0, 0.3, 1000)\n", + "\n", + "rugged_seq = np.linspace(0, 1, 100)\n", + "\n", + "for i in range(100):\n", + " plt.plot(rugged_seq, alpha[i] + beta[i] * rugged_seq, c='blue')\n", + " \n", + "plt.axhline(y=1.3, c='r', ls='--') \n", + "plt.axhline(y=0.7, c='r', ls='--') \n", + "\n", + "plt.ylim((0.5, 1.5))\n", + "plt.title('Using a informative prior')\n", + "plt.xlabel('Ruggedness')\n", + "plt.ylabel('Log GDP')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "fedde334", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 6.8e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_6a_a0a_z/model_wh2htuhu.stan', line 30, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 6.9e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_6a_a0a_z/model_wh2htuhu.stan', line 30, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model2 = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] log_gdp_std;\n", + " vector[N] rugged_std;\n", + " real rugged_std_average;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta * (rugged_std - rugged_std_average);\n", + " \n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " \n", + " alpha ~ normal(1, 0.1);\n", + " beta ~ normal(0, 0.3);\n", + " sigma ~ exponential(1);\n", + " \n", + " // Likelihood\n", + " log_gdp_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik; // By default, if a variable log_lik is present in the Stan model, it will be retrieved as pointwise log likelihood values.\n", + " vector[N] log_gdp_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);\n", + " log_gdp_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(ddf),\n", + " 'log_gdp_std': ddf['log_gdp_std'].values,\n", + " 'rugged_std': ddf['rugged_std'].values,\n", + " 'rugged_std_average': ddf['rugged_std'].mean(),\n", + "}\n", + "\n", + "posteriori = stan.build(model2, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ab469343", + "metadata": {}, + "outputs": [], + "source": [ + "stan_data2 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_predictive=\"log_gdp_std_hat\",\n", + " observed_data=['log_gdp_std'],\n", + " prior=samples,\n", + " prior_model=posteriori,\n", + " posterior_model=posteriori,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "5b3b165d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha1.0000.0110.9771.0180.0000.0004235.02967.01.0
beta0.0040.056-0.1010.1060.0010.0013764.03240.01.0
sigma0.1380.0080.1250.1520.0000.0003197.02737.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 1.000 0.011 0.977 1.018 0.000 0.000 4235.0 2967.0 \n", + "beta 0.004 0.056 -0.101 0.106 0.001 0.001 3764.0 3240.0 \n", + "sigma 0.138 0.008 0.125 0.152 0.000 0.000 3197.0 2737.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 \n", + "beta 1.0 \n", + "sigma 1.0 " + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_data, var_names=['alpha', 'beta', 'sigma'])" + ] + }, + { + "cell_type": "markdown", + "id": "53054c82", + "metadata": {}, + "source": [ + "### R Code 8.7" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e33f5646", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " cont_africa cid\n", + "2 1 1\n", + "4 0 2\n", + "7 0 2\n", + "8 0 2\n", + "9 0 2" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ddf['cid'] = [1 if cont_africa == 1 else 2 for cont_africa in ddf['cont_africa']]\n", + "ddf[['cont_africa', 'cid']].head()" + ] + }, + { + "cell_type": "markdown", + "id": "bb817c98", + "metadata": {}, + "source": [ + "### R Code 8.8" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "9bd7eccf", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan_fy40ztvq/model_22jq2cue.stan', line 11, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 3.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.34 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_gl43s4d2/model_22jq2cue.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.5e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_gl43s4d2/model_22jq2cue.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.31 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model3 = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] log_gdp_std;\n", + " vector[N] rugged_std;\n", + " array[N] int cid; // Must be integer because this is index to alpha.\n", + " real rugged_std_average;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha[2]; //Can be used to real alpha[2] or array[2] int alpha;\n", + " real beta;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha[ cid[i] ] + beta * (rugged_std[i] - rugged_std_average);\n", + " }\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " \n", + " alpha ~ normal(1, 0.1);\n", + " beta ~ normal(0, 0.3);\n", + " sigma ~ exponential(1);\n", + " \n", + " // Likelihood\n", + " log_gdp_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] log_gdp_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);\n", + " log_gdp_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(ddf),\n", + " 'log_gdp_std': ddf['log_gdp_std'].values,\n", + " 'rugged_std': ddf['rugged_std'].values,\n", + " 'rugged_std_average': ddf['rugged_std'].mean(),\n", + " 'cid': ddf['cid'].values,\n", + "}\n", + "\n", + "posteriori = stan.build(model3, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "e925fa34", + "metadata": {}, + "outputs": [], + "source": [ + "stan_data3 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_predictive=\"log_gdp_std_hat\",\n", + " observed_data=['log_gdp_std'],\n", + " prior=samples,\n", + " prior_model=posteriori,\n", + " posterior_model=posteriori,\n", + " dims={\n", + " \"alpha\": [\"africa\"],\n", + " },\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "09b5eaa8", + "metadata": {}, + "source": [ + "### R Code 8.9" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "afc2a79f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/stats.py:1645: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/html": [ + "
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rankelpd_waicp_waicelpd_diffweightsedsewarningscale
m8.20126.1661244.1172610.0000000.9692567.3966440.000000Truelog
m8.1194.4993992.49168031.6667250.0307446.4639567.317875Falselog
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" + ], + "text/plain": [ + " rank elpd_waic p_waic elpd_diff weight se dse \\\n", + "m8.2 0 126.166124 4.117261 0.000000 0.969256 7.396644 0.000000 \n", + "m8.1 1 94.499399 2.491680 31.666725 0.030744 6.463956 7.317875 \n", + "\n", + " warning scale \n", + "m8.2 True log \n", + "m8.1 False log " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "models_8 = { 'm8.1': stan_data2, 'm8.2': stan_data3 }\n", + "\n", + "az.compare(models_8, ic='waic')" + ] + }, + { + "cell_type": "markdown", + "id": "84517067", + "metadata": {}, + "source": [ + "### R Code 8.10" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c9c0836a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]0.8800.0160.8510.9110.0000.0004512.03483.01.0
alpha[1]1.0490.0101.0311.0690.0000.0004305.02642.01.0
beta-0.0460.047-0.1300.0480.0010.0013508.02517.01.0
sigma0.1140.0060.1030.1260.0000.0003742.03076.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 0.880 0.016 0.851 0.911 0.000 0.000 4512.0 \n", + "alpha[1] 1.049 0.010 1.031 1.069 0.000 0.000 4305.0 \n", + "beta -0.046 0.047 -0.130 0.048 0.001 0.001 3508.0 \n", + "sigma 0.114 0.006 0.103 0.126 0.000 0.000 3742.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 3483.0 1.0 \n", + "alpha[1] 2642.0 1.0 \n", + "beta 2517.0 1.0 \n", + "sigma 3076.0 1.0 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_data3, var_names=['alpha', 'beta', 'sigma'])" + ] + }, + { + "cell_type": "markdown", + "id": "5fe15bba", + "metadata": {}, + "source": [ + "### R Code 8.11" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "a2b1a9aa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0\n",
+       "    num_chains:                 4\n",
+       "    num_samples:                1000\n",
+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0\n",
+       "    model_name:                 models/22jq2cue\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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      <xarray.Dataset>\n",
+       "Dimensions:            (log_gdp_std_dim_0: 170)\n",
+       "Coordinates:\n",
+       "  * log_gdp_std_dim_0  (log_gdp_std_dim_0) int64 0 1 2 3 4 ... 166 167 168 169\n",
+       "Data variables:\n",
+       "    log_gdp_std        (log_gdp_std_dim_0) float64 0.8797 0.9648 ... 0.9186\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:27.082048\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
+       "    inference_library_version:  3.7.0

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\n", + " " + ], + "text/plain": [ + "Inference data with groups:\n", + "\t> posterior\n", + "\t> posterior_predictive\n", + "\t> log_likelihood\n", + "\t> sample_stats\n", + "\t> prior\n", + "\t> sample_stats_prior\n", + "\t> observed_data" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stan_data3" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "bf021052", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([-0.19925646, -0.13838364])" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha_a1 = stan_data3.posterior.alpha.sel(africa=0)\n", + "alpha_a2 = stan_data3.posterior.alpha.sel(africa=1)\n", + "\n", + "diff_alpha_a1_a2 = az.extract(alpha_a1 - alpha_a2).alpha.values\n", + "\n", + "az.hdi(diff_alpha_a1_a2, hdi_prob=0.89)" + ] + }, + { + "cell_type": "markdown", + "id": "05df4e93", + "metadata": {}, + "source": [ + "### R Code 8.12" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "c5eb4104", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract 200 samples from arviz-fit to numpy\n", + "params_post = az.extract(stan_data3.posterior, num_samples=200)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "33c0367d", + "metadata": {}, + "outputs": [], + "source": [ + "rugged_seq = np.linspace(0, 1, 30)\n", + "\n", + "log_gdp_mean_africa = []\n", + "log_gdp_hdi_africa = []\n", + "\n", + "log_gdp_mean_not_africa = []\n", + "log_gdp_hdi_not_africa = []\n", + "\n", + "# Calculation posterior mean and interval HDI\n", + "for i in range(len(rugged_seq)):\n", + " log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.values * rugged_seq[i]\n", + " log_gdp_mean_africa.append(np.mean(log_gdp_africa.values))\n", + " log_gdp_hdi_africa.append(az.hdi(log_gdp_africa.values, hdi_prob=0.89))\n", + " \n", + " log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.values * rugged_seq[i]\n", + " log_gdp_mean_not_africa.append(np.mean(log_gdp_not_africa.values))\n", + " log_gdp_hdi_not_africa.append(az.hdi(log_gdp_not_africa.values, hdi_prob=0.89))\n", + " \n", + "log_gdp_hdi_africa = np.array(log_gdp_hdi_africa)\n", + "log_gdp_hdi_not_africa = np.array(log_gdp_hdi_not_africa) " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "58668e37", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 8))\n", + "\n", + "plt.plot(rugged_seq, log_gdp_mean_africa, c='blue')\n", + "plt.fill_between(rugged_seq, log_gdp_hdi_africa[:,0], log_gdp_hdi_africa[:,1], color='blue', alpha=0.3)\n", + "\n", + "plt.plot(rugged_seq, log_gdp_mean_not_africa, c='black')\n", + "plt.fill_between(rugged_seq, log_gdp_hdi_not_africa[:,0], log_gdp_hdi_not_africa[:,1], color='darkgray', alpha=0.3)\n", + "\n", + "plt.plot(ddf.loc[ddf.cid == 1,'rugged_std'], ddf.loc[ddf.cid==1, 'log_gdp_std'], 'o', markerfacecolor='blue', color='gray')\n", + "plt.plot(ddf.loc[ddf.cid == 2,'rugged_std'], ddf.loc[ddf.cid==2, 'log_gdp_std'], 'o', markerfacecolor='none', color='black')\n", + "\n", + "plt.title('m8.4')\n", + "plt.xlabel('ruggedness (standardized)')\n", + "plt.ylabel('log GDP (as proportion of mean)')\n", + "\n", + "plt.text(0.8, 1.04, 'Not Africa', fontsize='x-large', color='black')\n", + "plt.text(0.8, 0.86, 'Africa', fontsize='x-large', color='darkblue')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b6372212", + "metadata": {}, + "source": [ + "### R Code 8.13" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "7e41b998", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mMessages from \u001b[0m\u001b[36;1mstanc\u001b[0m\u001b[36m:\u001b[0m\n", + "Warning in '/tmp/httpstan__g9c_c3n/model_5jmion4o.stan', line 11, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "Warning in '/tmp/httpstan__g9c_c3n/model_5jmion4o.stan', line 12, column 8: Declaration\n", + " of arrays by placing brackets after a variable name is deprecated and\n", + " will be removed in Stan 2.33.0. Instead use the array keyword before the\n", + " type. This can be changed automatically using the auto-format flag to\n", + " stanc\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_wn5k80fz/model_5jmion4o.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 3.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_wn5k80fz/model_5jmion4o.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.7e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_wn5k80fz/model_5jmion4o.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 2.3e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.23 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_wn5k80fz/model_5jmion4o.stan', line 32, column 8 to column 40)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n" + ] + } + ], + "source": [ + "model4 = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] log_gdp_std;\n", + " vector[N] rugged_std;\n", + " array[N] int cid; // Must be integer because this is index to alpha.\n", + " real rugged_std_average;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha[2]; //Can be used to real alpha[2] or array[2] int alpha;\n", + " real beta[2];\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " for (i in 1:N){\n", + " mu[i] = alpha[ cid[i] ] + beta[ cid[i] ] * (rugged_std[i] - rugged_std_average);\n", + " }\n", + " }\n", + " \n", + " model {\n", + " // Prioris\n", + " \n", + " alpha ~ normal(1, 0.1);\n", + " beta ~ normal(0, 0.3);\n", + " sigma ~ exponential(1);\n", + " \n", + " // Likelihood\n", + " log_gdp_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] log_gdp_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);\n", + " log_gdp_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(ddf),\n", + " 'log_gdp_std': ddf['log_gdp_std'].values,\n", + " 'rugged_std': ddf['rugged_std'].values,\n", + " 'rugged_std_average': ddf['rugged_std'].mean(),\n", + " 'cid': ddf['cid'].values,\n", + "}\n", + "\n", + "posteriori = stan.build(model4, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "7d9bc956", + "metadata": {}, + "outputs": [], + "source": [ + "stan_data4 = az.from_pystan(\n", + " posterior=samples,\n", + " posterior_predictive=\"log_gdp_std_hat\",\n", + " observed_data=['log_gdp_std'],\n", + " prior=samples,\n", + " prior_model=posteriori,\n", + " posterior_model=posteriori,\n", + " dims={\n", + " \"alpha\": [\"africa\"],\n", + " \"beta\": [\"africa\"],\n", + " },\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "2fafdac5", + "metadata": {}, + "source": [ + "### R Code 8.14" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "2b88d50c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha[0]0.8870.0160.8580.9160.0000.0005156.02914.01.0
alpha[1]1.0510.0101.0331.0710.0000.0005063.03095.01.0
beta[0]0.1310.075-0.0060.2700.0010.0014710.03386.01.0
beta[1]-0.1430.056-0.247-0.0360.0010.0014727.03117.01.0
sigma0.1120.0060.1000.1230.0000.0005069.03262.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha[0] 0.887 0.016 0.858 0.916 0.000 0.000 5156.0 \n", + "alpha[1] 1.051 0.010 1.033 1.071 0.000 0.000 5063.0 \n", + "beta[0] 0.131 0.075 -0.006 0.270 0.001 0.001 4710.0 \n", + "beta[1] -0.143 0.056 -0.247 -0.036 0.001 0.001 4727.0 \n", + "sigma 0.112 0.006 0.100 0.123 0.000 0.000 5069.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha[0] 2914.0 1.0 \n", + "alpha[1] 3095.0 1.0 \n", + "beta[0] 3386.0 1.0 \n", + "beta[1] 3117.0 1.0 \n", + "sigma 3262.0 1.0 " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_data4, var_names=['alpha', 'beta', 'sigma'])" + ] + }, + { + "cell_type": "markdown", + "id": "8df41056", + "metadata": {}, + "source": [ + "### R Code 8.15" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "91881f42", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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rankelpd_loop_looelpd_diffweightsedsewarningscale
m8.30129.5892774.9894990.0000000.8707937.3096930.000000Falselog
m8.21126.1374954.1458903.4517830.1292077.4053393.225278Falselog
m8.1294.4924632.49861635.0968140.0000006.4644477.448111Falselog
\n", + "
" + ], + "text/plain": [ + " rank elpd_loo p_loo elpd_diff weight se dse \\\n", + "m8.3 0 129.589277 4.989499 0.000000 0.870793 7.309693 0.000000 \n", + "m8.2 1 126.137495 4.145890 3.451783 0.129207 7.405339 3.225278 \n", + "m8.1 2 94.492463 2.498616 35.096814 0.000000 6.464447 7.448111 \n", + "\n", + " warning scale \n", + "m8.3 False log \n", + "m8.2 False log \n", + "m8.1 False log " + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "models_8 = { 'm8.1': stan_data2, 'm8.2': stan_data3, 'm8.3': stan_data4 }\n", + "\n", + "# https://python.arviz.org/en/stable/api/generated/arviz.compare.html\n", + "# https://rss.onlinelibrary.wiley.com/doi/10.1111/1467-9868.00353\n", + "az.compare(models_8, ic='loo') # loo is same that PSIS" + ] + }, + { + "cell_type": "markdown", + "id": "a3a0cf9c", + "metadata": {}, + "source": [ + "### R Code 8.16" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "176c1ce6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Computed from 4000 posterior samples and 170 observations log-likelihood matrix.\n", + "\n", + " Estimate SE\n", + "elpd_loo 129.59 7.31\n", + "p_loo 4.99 -\n", + "------\n", + "\n", + "Pareto k diagnostic values:\n", + " Count Pct.\n", + "(-Inf, 0.5] (good) 169 99.4%\n", + " (0.5, 0.7] (ok) 1 0.6%\n", + " (0.7, 1] (bad) 0 0.0%\n", + " (1, Inf) (very bad) 0 0.0%" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.loo(stan_data4, pointwise=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "b231c777", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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arviz.InferenceData
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      <xarray.Dataset>\n",
+       "Dimensions:   (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170)\n",
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+       "    beta      (chain, draw, africa) float64 0.2193 -0.1387 ... 0.1464 -0.1622\n",
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+       "    mu        (chain, draw, mu_dim_0) float64 0.8632 1.004 ... 0.8572 0.8728\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:30.413832\n",
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+       "    num_thin:                   1\n",
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+       "    save_warmup:                0\n",
+       "    model_name:                 models/5jmion4o\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
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+       "    model_name:                 models/5jmion4o\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
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+       "Dimensions:                (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170,\n",
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+       "  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169\n",
+       "Data variables:\n",
+       "    alpha                  (chain, draw, africa) float64 0.88 1.051 ... 1.022\n",
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+       "    mu                     (chain, draw, mu_dim_0) float64 0.8632 ... 0.8728\n",
+       "    log_lik                (chain, draw, log_lik_dim_0) float64 1.182 ... 1.206\n",
+       "    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 0.913...\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:30.647322\n",
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+       "    num_thin:                   1\n",
+       "    num_warmup:                 1000\n",
+       "    save_warmup:                0\n",
+       "    model_name:                 models/5jmion4o\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "    model_name:                 models/5jmion4o\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "Dimensions:            (log_gdp_std_dim_0: 170)\n",
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\n", + " " + ], + "text/plain": [ + "Inference data with groups:\n", + "\t> posterior\n", + "\t> posterior_predictive\n", + "\t> log_likelihood\n", + "\t> sample_stats\n", + "\t> prior\n", + "\t> sample_stats_prior\n", + "\t> observed_data" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stan_data4" + ] + }, + { + "cell_type": "markdown", + "id": "d8b2b901", + "metadata": {}, + "source": [ + "### R Code 8.16 - XXX" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "9264bc75", + "metadata": {}, + "outputs": [], + "source": [ + "# az.plot_loo_pit(stan_data4, y='log_gdp_std')" + ] + }, + { + "cell_type": "markdown", + "id": "ca43f550", + "metadata": {}, + "source": [ + "### R Code 8.17" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "acab3752", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract 200 samples from arviz-fit to numpy\n", + "params_post = az.extract(stan_data4.posterior, num_samples=200)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "fafc1c7e", + "metadata": {}, + "outputs": [], + "source": [ + "rugged_seq = np.linspace(0, 1, 30)\n", + "\n", + "log_gdp_mean_africa = []\n", + "log_gdp_hdi_africa = []\n", + "\n", + "log_gdp_mean_not_africa = []\n", + "log_gdp_hdi_not_africa = []\n", + "\n", + "# Calculation posterior mean and interval HDI\n", + "for i in range(len(rugged_seq)):\n", + " log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.sel(africa=0).values * rugged_seq[i]\n", + " log_gdp_mean_africa.append(np.mean(log_gdp_africa.values))\n", + " log_gdp_hdi_africa.append(az.hdi(log_gdp_africa.values, hdi_prob=0.89))\n", + " \n", + " log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.sel(africa=1).values * rugged_seq[i]\n", + " log_gdp_mean_not_africa.append(np.mean(log_gdp_not_africa.values))\n", + " log_gdp_hdi_not_africa.append(az.hdi(log_gdp_not_africa.values, hdi_prob=0.89))\n", + " \n", + "log_gdp_hdi_africa = np.array(log_gdp_hdi_africa)\n", + "log_gdp_hdi_not_africa = np.array(log_gdp_hdi_not_africa)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "676ee5fc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(17, 8))\n", + "\n", + "gs = GridSpec(1, 2)\n", + "\n", + "# Africa plots\n", + "ax_africa = fig.add_subplot(gs[0])\n", + "\n", + "ax_africa.plot(rugged_seq, log_gdp_mean_africa, c='blue')\n", + "ax_africa.fill_between(rugged_seq, log_gdp_hdi_africa[:,0], log_gdp_hdi_africa[:,1], color='blue', alpha=0.3)\n", + "ax_africa.plot(ddf.loc[ddf.cid == 1,'rugged_std'], ddf.loc[ddf.cid==1, 'log_gdp_std'], 'o', markerfacecolor='blue', color='gray')\n", + "\n", + "ax_africa.set_title('African Nations')\n", + "ax_africa.set_xlabel('ruggedness (standardized)')\n", + "ax_africa.set_ylabel('log GDP (as proportion of mean)')\n", + "ax_africa.text(0.7, 0.8, 'Africa', fontsize='xx-large', color='darkblue')\n", + "\n", + "\n", + "# Non africa plots\n", + "ax_not_africa = fig.add_subplot(gs[1])\n", + "\n", + "ax_not_africa.plot(rugged_seq, log_gdp_mean_not_africa, c='black')\n", + "ax_not_africa.fill_between(rugged_seq, log_gdp_hdi_not_africa[:,0], log_gdp_hdi_not_africa[:,1], color='darkgray', alpha=0.3)\n", + "ax_not_africa.plot(ddf.loc[ddf.cid == 2,'rugged_std'], ddf.loc[ddf.cid==2, 'log_gdp_std'], 'o', markerfacecolor='none', color='black')\n", + "\n", + "ax_not_africa.set_title('Non-African Nations')\n", + "ax_not_africa.set_xlabel('ruggedness (standardized)')\n", + "ax_not_africa.set_ylabel('log GDP (as proportion of mean)')\n", + "ax_not_africa.text(0.7, 1.1, 'Not Africa', fontsize='xx-large', color='black')\n", + "\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c2b3f483", + "metadata": {}, + "source": [ + "### R Code 8.18" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "6f24f164", + "metadata": {}, + "outputs": [], + "source": [ + "log_gdp_delta_mean = []\n", + "log_gdp_delta_hdi = []\n", + "\n", + "# Calculation posterior mean and interval HDI\n", + "for i in range(len(rugged_seq)):\n", + " log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.sel(africa=0).values * rugged_seq[i]\n", + " log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.sel(africa=1).values * rugged_seq[i]\n", + " \n", + " log_gdp_delta = log_gdp_africa - log_gdp_not_africa\n", + "\n", + " log_gdp_delta_mean.append(np.mean(log_gdp_delta.values))\n", + " log_gdp_delta_hdi.append(az.hdi(log_gdp_delta.values, hdi_prob=0.89))\n", + " \n", + "log_gdp_delta_hdi = np.array(log_gdp_delta_hdi)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "295992c0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(17, 8))\n", + "\n", + "gs = GridSpec(1, 1)\n", + "\n", + "# Africa delta log GDP plots\n", + "ax_delta = fig.add_subplot(gs[0])\n", + "\n", + "ax_delta.plot(rugged_seq, log_gdp_delta_mean, c='black')\n", + "ax_delta.fill_between(rugged_seq, log_gdp_delta_hdi[:,0], log_gdp_delta_hdi[:,1], color='blue', alpha=0.3)\n", + "\n", + "ax_delta.set_title('Delta log GDP')\n", + "ax_delta.set_xlabel('ruggedness (standardized)')\n", + "ax_delta.set_ylabel('expected difference log GDP')\n", + "\n", + "ax_delta.text(0.0, 0.02, 'Africa higher GDP', fontsize='xx-large', color='darkblue')\n", + "ax_delta.text(0.0, -0.03, 'Africa lower GDP', fontsize='xx-large', color='darkblue')\n", + "ax_delta.axhline(y=0, ls='--', color='black')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "14095b65", + "metadata": {}, + "source": [ + "### R Code 8.19" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "229a72f5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " bed water shade blooms\n", + "22 c 2.0 2.0 135.92\n", + "23 c 2.0 3.0 90.66\n", + "24 c 3.0 1.0 304.52\n", + "25 c 3.0 2.0 249.33\n", + "26 c 3.0 3.0 134.59" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('./data/tulips.csv', sep=';',\n", + " dtype={\n", + " 'bed': 'category', # cluster of plants from same section of the greenhouse\n", + " 'water': 'float', # Predictor: Soil moisture - (1) low and (3) high \n", + " 'shade': 'float', # Predictor: Light exposure - (1) high and (3) low\n", + " 'blooms': 'float', # What we wish to predict\n", + " })\n", + "df.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "22b641ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " count mean std min 25% 50% 75% max\n", + "water 27.0 2.000000 0.832050 1.0 1.000 2.00 3.0 3.00\n", + "shade 27.0 2.000000 0.832050 1.0 1.000 2.00 3.0 3.00\n", + "blooms 27.0 128.993704 92.683923 0.0 71.115 111.04 190.3 361.66" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe().T" + ] + }, + { + "cell_type": "markdown", + "id": "31e74fe2", + "metadata": {}, + "source": [ + "### R Code 8.20" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "9574d9b2", + "metadata": {}, + "outputs": [], + "source": [ + "df['blooms_std'] = df['blooms'] / df['blooms'].max()\n", + "df['water_cent'] = df['water'] - df['water'].mean()\n", + "df['shade_cent'] = df['shade'] - df['shade'].mean()" + ] + }, + { + "cell_type": "markdown", + "id": "3a3fdcc4", + "metadata": {}, + "source": [ + "### R Code 8.21" + ] + }, + { + "cell_type": "markdown", + "id": "4fe0e20b", + "metadata": {}, + "source": [ + "$$ \\alpha \\sim Normal(0.5, 1) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "fc828105", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.628" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha = np.random.normal(0.5, 1, 1000)\n", + "\n", + "alphas_true = np.any([alpha < 0, alpha > 1], axis=0) # If (alpha < 0) or (alpha > 1) then True else False\n", + "\n", + "np.sum(alphas_true) / len(alpha)" + ] + }, + { + "cell_type": "markdown", + "id": "4f28ec89", + "metadata": {}, + "source": [ + "### R Code 8.22" + ] + }, + { + "cell_type": "markdown", + "id": "e40f6066", + "metadata": {}, + "source": [ + "$$ \\alpha \\sim Normal(0.5, 0.25) $$" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "e919408f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.053" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "alpha = np.random.normal(0.5, 0.25, 1000)\n", + "\n", + "alphas_true = np.any([alpha < 0, alpha > 1], axis=0) # If (alpha < 0) or (alpha > 1) then True else False\n", + "\n", + "np.sum(alphas_true) / len(alpha)" + ] + }, + { + "cell_type": "markdown", + "id": "d90e3823", + "metadata": {}, + "source": [ + "### R Code 8.23" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "0ef505b5", + "metadata": { + "scrolled": true, + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n", + " Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:\n", + " Exception: normal_lpdf: Scale parameter is 0, but must be positive! (in '/tmp/httpstan_v58v6sbi/model_elkgjo5c.stan', line 30, column 8 to column 39)\n", + " If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,\n", + " but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.\n", + " Gradient evaluation took 1.1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] blooms_std;\n", + " vector[N] water_cent;\n", + " vector[N] shade_cent;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta_w;\n", + " real beta_s;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta_w * water_cent + beta_s * shade_cent;\n", + " }\n", + " \n", + " model {\n", + " // Priori\n", + " \n", + " alpha ~ normal(0.5, 0.25);\n", + " beta_w ~ normal(0, 0.25);\n", + " beta_s ~ normal(0, 0.25);\n", + " sigma ~ exponential(1);\n", + " \n", + " blooms_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] blooms_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(blooms_std[i] | mu[i], sigma);\n", + " blooms_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(df),\n", + " 'blooms_std': df.blooms_std.values, \n", + " 'water_cent': df.water_cent.values,\n", + " 'shade_cent': df.shade_cent.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "e7993cb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha0.3590.0340.2980.4290.0010.03857.02579.01.0
beta_w0.2030.0410.1260.2790.0010.04353.03032.01.0
beta_s-0.1120.041-0.188-0.0360.0010.04151.02524.01.0
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" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk ess_tail \\\n", + "alpha 0.359 0.034 0.298 0.429 0.001 0.0 3857.0 2579.0 \n", + "beta_w 0.203 0.041 0.126 0.279 0.001 0.0 4353.0 3032.0 \n", + "beta_s -0.112 0.041 -0.188 -0.036 0.001 0.0 4151.0 2524.0 \n", + "\n", + " r_hat \n", + "alpha 1.0 \n", + "beta_w 1.0 \n", + "beta_s 1.0 " + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_blooms, var_names=['alpha', 'beta_w', 'beta_s'])" + ] + }, + { + "cell_type": "markdown", + "id": "27706f0f", + "metadata": {}, + "source": [ + "### R Code 8.24" + ] + }, + { + "cell_type": "markdown", + "id": "672f8341", + "metadata": {}, + "source": [ + "$$ B_i \\sim Normal(\\mu_i, \\sigma) $$\n", + "\n", + "$$ \\mu_i = \\alpha + \\beta_W W_i + \\beta_S S_i + \\beta_{WS} S_i W_i $$" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "cdb71ac3", + "metadata": { + "tags": [ + "remove_output" + ] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32mBuilding:\u001b[0m found in cache, done.\n", + "\u001b[36mSampling:\u001b[0m 0%\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 25% (2000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 50% (4000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 75% (6000/8000)\n", + "\u001b[1A\u001b[0J\u001b[36mSampling:\u001b[0m 100% (8000/8000)\n", + "\u001b[1A\u001b[0J\u001b[32mSampling:\u001b[0m 100% (8000/8000), done.\n", + "\u001b[36mMessages received during sampling:\u001b[0m\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.1 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.4e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.\n", + " Adjust your expectations accordingly!\n", + " Gradient evaluation took 1.6e-05 seconds\n", + " 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.\n", + " Adjust your expectations accordingly!\n" + ] + } + ], + "source": [ + "model = \"\"\"\n", + " data {\n", + " int N;\n", + " vector[N] blooms_std;\n", + " vector[N] water_cent;\n", + " vector[N] shade_cent;\n", + " }\n", + " \n", + " parameters {\n", + " real alpha;\n", + " real beta_w;\n", + " real beta_s;\n", + " real beta_ws;\n", + " real sigma;\n", + " }\n", + " \n", + " transformed parameters {\n", + " vector[N] mu;\n", + " \n", + " mu = alpha + beta_w * water_cent + beta_s * shade_cent + beta_ws * water_cent .* shade_cent;\n", + " }\n", + " \n", + " model {\n", + " // Priori\n", + " \n", + " alpha ~ normal(0.5, 0.25);\n", + " beta_w ~ normal(0, 0.25);\n", + " beta_s ~ normal(0, 0.25);\n", + " beta_ws ~ normal(0, 0.25);\n", + " sigma ~ exponential(1);\n", + " \n", + " blooms_std ~ normal(mu, sigma);\n", + " }\n", + " \n", + " generated quantities {\n", + " vector[N] log_lik;\n", + " vector[N] blooms_std_hat;\n", + " \n", + " for(i in 1:N){\n", + " log_lik[i] = normal_lpdf(blooms_std[i] | mu[i], sigma);\n", + " blooms_std_hat[i] = normal_rng(mu[i], sigma);\n", + " }\n", + " }\n", + "\"\"\"\n", + "\n", + "data = {\n", + " 'N': len(df),\n", + " 'blooms_std': df.blooms_std.values, \n", + " 'water_cent': df.water_cent.values,\n", + " 'shade_cent': df.shade_cent.values,\n", + "}\n", + "\n", + "posteriori = stan.build(model, data=data)\n", + "samples = posteriori.sample(num_chains=4, num_samples=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "1b2c12f8", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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+       "    mu        (chain, draw, mu_dim_0) float64 0.1129 0.1568 ... 0.5309 0.2686\n",
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+       "    created_at:                 2023-08-11T18:56:34.758903\n",
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+       "    model_name:                 models/2akx274x\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
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+       "    model_name:                 models/2akx274x\n",
+       "    program_code:               \\n    data {\\n        int N;\\n        vector[...\n",
+       "    random_seed:                None

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+       "    log_lik               (chain, draw, log_lik_dim_0) float64 0.7045 ... 0.8218\n",
+       "    blooms_std_hat        (chain, draw, blooms_std_hat_dim_0) float64 0.04633...\n",
+       "Attributes:\n",
+       "    created_at:                 2023-08-11T18:56:34.950864\n",
+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
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+       "    model_name:                 models/2akx274x\n",
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+       "    random_seed:                None

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+       "Dimensions:           (blooms_std_dim_0: 27, water_cent_dim_0: 27,\n",
+       "                       shade_cent_dim_0: 27)\n",
+       "Coordinates:\n",
+       "  * blooms_std_dim_0  (blooms_std_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26\n",
+       "  * water_cent_dim_0  (water_cent_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26\n",
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+       "    arviz_version:              0.15.1\n",
+       "    inference_library:          stan\n",
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
alpha0.3580.0290.3010.4110.0000.05629.02730.01.0
beta_w0.2060.0340.1450.2750.0000.04954.02852.01.0
beta_s-0.1130.034-0.177-0.0510.0000.05101.03033.01.0
beta_ws-0.1430.042-0.220-0.0590.0010.05011.03012.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "alpha 0.358 0.029 0.301 0.411 0.000 0.0 5629.0 \n", + "beta_w 0.206 0.034 0.145 0.275 0.000 0.0 4954.0 \n", + "beta_s -0.113 0.034 -0.177 -0.051 0.000 0.0 5101.0 \n", + "beta_ws -0.143 0.042 -0.220 -0.059 0.001 0.0 5011.0 \n", + "\n", + " ess_tail r_hat \n", + "alpha 2730.0 1.0 \n", + "beta_w 2852.0 1.0 \n", + "beta_s 3033.0 1.0 \n", + "beta_ws 3012.0 1.0 " + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(stan_blooms_interaction, var_names=['alpha', 'beta_w', 'beta_s', 'beta_ws'])" + ] + }, + { + "cell_type": "markdown", + "id": "0f8f27b5", + "metadata": {}, + "source": [ + "### R Code 8.25" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "d01a850d", + "metadata": {}, + "outputs": [], + "source": [ + "blooms_post = az.extract(stan_blooms.posterior, num_samples=20) # get 20 lines\n", + "blooms_post_int = az.extract(stan_blooms_interaction.posterior, num_samples=20) # get 20 lines" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "bf792111", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# ================\n", + "# Plot without interactions\n", + "\n", + "water_seq = np.linspace(-1, 1, 30)\n", + "\n", + "fig = plt.figure(figsize=(17, 6))\n", + "\n", + "gs = GridSpec(1, 3)\n", + "\n", + "shade_cent_values = [-1, 0, 1]\n", + "\n", + "ax = [None] * len(shade_cent_values)\n", + "\n", + "for j, shade_plot_aux in enumerate(shade_cent_values):\n", + " ax[j] = fig.add_subplot(gs[j])\n", + "\n", + " for i in range(len(blooms_post.alpha)):\n", + " mu = blooms_post.alpha[i].values + \\\n", + " blooms_post.beta_w[i].values * water_seq + \\\n", + " blooms_post.beta_s[i].values * (shade_plot_aux)\n", + "\n", + " ax[j].plot(water_seq, mu, c='gray')\n", + " ax[j].set_ylim(0, 1)\n", + " ax[j].set_title(f'8.4 post: Shade = ${shade_plot_aux}$')\n", + " ax[j].set_xlabel('water')\n", + " ax[j].set_ylabel('blooms')\n", + " ax[j].set_xticks(shade_cent_values, shade_cent_values)\n", + " ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])\n", + "\n", + " ax[j].plot(\n", + " df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, \n", + " df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, \n", + " 'o', c='blue')\n", + " \n", + "plt.show()\n", + "\n", + "# ================\n", + "# Plot with interactions\n", + "\n", + "water_seq = np.linspace(-1, 1, 30)\n", + "\n", + "fig = plt.figure(figsize=(17, 6))\n", + "\n", + "gs = GridSpec(1, 3)\n", + "\n", + "shade_cent_values = [-1, 0, 1]\n", + "\n", + "ax = [None] * len(shade_cent_values)\n", + "\n", + "for j, shade_plot_aux in enumerate(shade_cent_values):\n", + " ax[j] = fig.add_subplot(gs[j])\n", + "\n", + " for i in range(len(blooms_post_int.alpha)):\n", + " mu = blooms_post_int.alpha[i].values + \\\n", + " blooms_post_int.beta_w[i].values * water_seq + \\\n", + " blooms_post_int.beta_s[i].values * (shade_plot_aux) + \\\n", + " blooms_post_int.beta_ws[i].values * water_seq * (shade_plot_aux)\n", + "\n", + " ax[j].plot(water_seq, mu, c='gray')\n", + " ax[j].set_ylim(0, 1)\n", + " ax[j].set_title(f'8.5 post: Shade = ${shade_plot_aux}$')\n", + " ax[j].set_xlabel('water')\n", + " ax[j].set_ylabel('blooms')\n", + " ax[j].set_xticks(shade_cent_values, shade_cent_values)\n", + " ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])\n", + "\n", + " ax[j].plot(\n", + " df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, \n", + " df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, \n", + " 'o', c='blue')\n", + " \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5d679e1c", + "metadata": {}, + "source": [ + "### R Code 8.26" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "ca419ae5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NoM4q93q9fTmr/CqwOGcYhmEYhmEYhmkAG8t1l2QyibW1NRwdHcHpdOLdd9/FzMzMnXv9WJwzDMMwDMMwDMO0gZmx3PHxMU5OTthYrg1u46zyq3A3nzXDMAzDMAzDMEwHUI3lHj9+XNdYzu/3S6E+MjJyZwUocDGrPBwOY29vDwAwPz+PxcXFO98WcHc/EQzDMAzDMAzDMB2mkbHc3t4ednd3YbFYMDIyIsX6XTGWuwuzyq8Ci3OGYRiGYRiGYZguYGYsd3Z2JsX6kydP8OTJE7jdboyOjt5aY7lqtYq9vT2Ew+FbP6v8KrA4ZxiGYRiGYRiGuQasVivGx8cxPj4O4KLnWi1/NxrLjY+PY2hoqG+N0WhW+fr6OrLZ7J2YVX4VWJwzDMMwDMMwDMPcAB6PBzMzM5iZmUG1WkUsFpNiXTWWo6z62NhYX5SACyFwfHyM9fX1Ozer/CqwOGcYhmEYhmEYhrlhLBYLgsEggsGgqbHcy5cvAfS+sZxxVvnHP/5xTE5Osihvgd56JxmGYRiGYRiGYRhTYzka19aLxnKJRALr6+s4OjqCy+W6s7PKrwKLc4ZhGIZhGIZhmB5GNZZbWFjoKWO5TCaDjY0NvHjxAjabDSsrK5ibm+u5jH4/wK8YwzAMwzAMwzBMH9ELxnI8q7zzsDhnGIZhGIZhGIbpY67TWK5UKmFnZwc7Ozsol8uYnp7G8vJyXxjV9ToszhmGYRiGYRiGYW4J3TKWq1QqePbsGc8q7yIszhmGYRiGYRiGYW4pVzWWM84qD4VCWF1dxfDw8A0/s9sHi3OGYRiGYRiGYZg7QDvGcqFQCE6nE8fHx0ilUhgcHMR7773Hs8q7CItzhmEYhmEYhmGYO0g9Y7kXL17g4OAAQggAgNfrxfj4OOx2O4QQLM67BItzhmEYhmEYhmEYBqVSCUdHR4hEInA6nXj48CGsVitOT087bizH1MLinGEYhmEYhmEY5g6jziq32+01s8pXVlY6ZizH1IdfOYZhGIZhGIZhmDtIPp+Xs8o1TcPCwgIWFxfhcDhqfrddY7nx8XH4/X4ugW8DFucMwzAMwzAMwzB3iKvOKm/HWI6y6qOjo6ain3kDi3OGYRiGYRiGYZg7QKVSwd7eHsLhMIrFIiYmJvD48eMrzyqvZyxH5e/7+/sAgOHhYSnWh4aGYLFYrvqUbhUszhmGYRiGYRiGYW4xQgi8ePECGxsb1zKr3OPxYGZmBjMzM6hWq4jFYlKsb25uYnNzk43lTGBxzjAMwzAMwzAMcwsRQuDo6Ajr6+tIJpMYHBzE+++/j7GxsWs7BovFgmAwiGAwiMePH0tjOepXNzOWC4VCsFqt13aMvQKLc4ZhGIZhGIZhmFtGJBLB2toaotEofD4fPvGJT2BiYuLGDdqMxnLJZFJm1e+6sRyLc4ZhGIZhGIZhmFtCIpHA2toajo+P4XK58N5772F6eron+7s1TUMgEEAgEMDCwgLK5TIikcidNZZjcc4wDMMwDMMwDNPnGGeVr66u4tGjR301d9xms91pY7n+eacYhmEYhmEYhmEYHe3MKu837pqxHItzhmEYhmEYhmGYPoNmlW9vb6NarcpZ5W63+6YPrSsYjeUKhQJOT091mXWgv43lWJwzDMMwDMMwDMP0CWazyldWVuD3+2/60K4Vp9OJBw8e4MGDB7fGWI7FOcMwDMMwDMMwTI9jnFU+OjqK1dVVDA0N3fSh3Ti3xViOxTnDMAzDMAzDMEyPQrPK19bWkEqlMDQ0hI985CMYHR296UPrWS5jLDc8PHzjWXUW5wzDMAzDMAzDMD3I2dkZ1tbWcH5+3lOzyvuNfjGWY3HOMAzD6CiVSvjmN78pS75cLtdNHxLDMAzD3Cni8TjW19flrPL3338fU1NTt2Zk2E3Sy8ZyLM4ZhmEYHalUCsfHx3jx4gUAYHBwUF6cgsEgBwYMcwsplUqIx+MIhUI3fSgMc6dJp9PY2NjAwcFB384q7zfaMZYbHx/H2NhY14zl+F1mGIZhdAwPD+P7vu/7EI/H5cVpe3sbW1tbsNlsCIVCUqz7fL6bPlyGYa5ApVLBs2fPEA6HUalU8L3f+72w2+03fVgMc+fI5/PY3NzEs2fPYLFYsLi4iIWFhZ4zLLvtNDOW+/DDDwGga8ZyLM4ZhmGYGjRNw9DQEIaGhrC0tIRSqaQr+To6OgIAeL1eXckXB/UM0x8YXZ9DoRBWV1f5HGaYa6ZUKmF7exs7Ozt3YlZ5v9GKsdzQ0BC+4zu+ozOP15F7YRiGYW41drsdExMTmJiYgBAC6XRaXpyeP3+Ovb09aJomZ4mOjY0hEAiwYQ3D9BhCCBwfH2NtbQ3JZBKDg4N4//33MTo6yufrFalWqwDArT9MS1QqFTx9+hRbW1soFouYnJzE48eP79ys8n7DaCx3fn6OSqXSsftncc4wDMO0haZp8Pv98Pv9mJubQ6VSQTQalWJ9bW0Na2trcDqdupIvNpZjmJslEolgbW0N0WgUXq+XXZ87zIsXL/D1r38dTqcTLpcLLpcLbrdbfm28XYe5FNN7VKtVWbWSy+V4VnkfQ33onYTFOcMwDHMlrFYrRkdHMTo6irfeegv5fF4KdTaWY5ibJ5FIYG1tTbo+v/fee5ienuZzsMMEAgEsLS0hn8/LWyKRQD6fN/19u93eVMS73W42ArslCCHw6tUrrK+vy1nlH/3oR3lWOaODz3aGYRimo7hcLkxNTWFqagpCCDaWY5gbIpPJYGNjAy9evGDX52uAfDqMCCFQKBSQz+eRy+V04p1ukUgE+Xxelsar2Gy2utl3Vdjb7XauguhRjLPKP/nJT+L+/fv8fjE18OrMMAzDdI3LGMuNjo6yeGCYK5DP5xEOh6UXxMLCAhYXF9n1+YbQNE0K6cHBwbq/J4RAqVRqKOLj8Tjy+TzK5XLN31sslpZEvNPpZFF4TcTjcaytreHk5ARut5tnlTNN4eiHYRiGuTbYWI5hukepVMLOzg52dnZQqVQwNTWFx48fs+tzn6BpGhwOBxwOBwYGBhr+Lol4s1sul0MqlcLZ2RlKpZLp46h98Y3K6llEXo50Oo319XUcHh7CbrfjrbfewqNHj9hn4JZQLpeRzWaRyWSQyWTgcDjw8OHDjtw3i3OGYRjmRriMsdzY2BicTudNHzrD9BSVSgV7e3sIh8MoFouYmJjAysoKuz7fYux2O+x2e9P3uFKpNBTxuVwOsVgMhULB9O8dDkdL5nZc7XQBzyq/HVQqFWSzWSnAVSGezWZrzhePx8PinGEYhrldGI3lcrkcTk9PcXx8zMZyDGNCvVnlw8PDN31oTI9gtVrh9Xrh9Xob/l61WpV98UYBT1+nUink83kIIWr+vl5fvFHQ39a+eOOs8pmZGSwtLXHVSo8ihGgovnO5nO73NU2Dx+OB1+vFvXv34HQ6kUqlcHJygkql0tE1l8U5wzAM05O43W6dsVwsFmNjOYbBRWB5dHSE9fV13azysbGxmz40pk+xWCxwu91NxaQQAsVisWFffCwWQz6fN539TH3xjbLw/dQXbzarfGVlha9FN4wQAvl83lR8ZzIZ5HK5mk0mt9sNr9eL0dFRKcTpX7fbDU3TkM/nsbOzg93dXVQqFdy/fx/Ly8sNvSTahcU5wzAM0/Nomobh4WEMDw9jeXm5qbHc+Pg4QqEQl1oytw51VrnP5+NZ5cy1Qv3qTqcTgUCg7u8JIVAul+sK+Hw+j2QyidPT07p98Y3E+033xRtnlY+NjWFlZYVnlV8TtElkzHir/xonHzidTni9XgSDwRrx7fF4Gn6Ostkstre38ezZM1SrVTx48ABLS0tNvSEuA0ctDMMwTN/BxnLMXYNnlTP9hKZpsi++mYCpVCoNRXw2m8X5+XndvnijuV29kvpOmLHxrPLro1QqmYpv+to4scBut8Pr9cLv92N8fFwKbxLfl9msz2Qy2Nrawv7+PgDg4cOHWFxc7KqfB4tzhmEYpq9hYznmNsOzypnbjtVqhc/na1oKXq1W6wp4NRtfry/ebre3JOJtNpvpRu7p6SnW1tYQi8Xg9/t5VvkVIdO1epnvYrGo+33yT/B4PAiFQrrMt9frhd1u79ixpVIphMNhHBwcQNM0zMzMYGFhoal3QyfglZ1hGIa5VdQzljs5OWFjOaZv4FnlDKPHYrHA4/HA4/E0/D0hhKm5nWpyF41Gkc/na0qfgYtriCrWNU1DPB5HOp2Gw+HA48ePMT09LX/GmFOtVpHL5Uyz3plMBvl8Xvf76vs7MTFRI74dDkfXX+9EIoFwOIzDw0NYrVY8evQICwsL12rsx+KcYRiGudWwsRzTTxhdn6enp7G8vMyuzwzTImq/eiOEEDXz4tXy+kwmg5OTE135dLFYxMbGBjY2NqS5XSu32yjiyXStXubbzHSNxPfY2FiN+L7J1ykWi2FzcxNHR0ew2WxYXFzE3Nxc089QN2BxzjAMw9wZ2FiO6VWMs8onJyfx+PHja5tVTn29k5OT1/J4DHPTaJoGh8MBh8Oh64vP5XLY3NxEPB6HxWLB0tISZmdndTPjjT3y6XQakUikphSbaFXEd6IvvlOQ6Vq9zHc2m62pPHC5XNJ0zWi41sx07SaIRqPY3NzEyckJ7HY7lpeXMTc3d6MVShxtMAzDMHcWNpZjbhohBJ4/f47NzU1ks1mMjo5idXX12lyf0+k0tre3sb+/D6vVirGxsY72bjJMv1AsFrG9vY3d3V05q3x5eVmXPW1WVVWpVFAoFBoa3MXj8ZqSbsLhcDTsi3c6nXC73R3bMC6VSnUN1zKZTM04PIfDAY/Hg0AggPv379e4nvfS5kI9hBA4OztDOBzG2dkZHA4HVlZW8OjRo55Y+1icMwzDMAzYWI65XmhW+dramnR9/shHPnJtrs/1DI96IThlmOukUqlgd3cXW1tbKJVKePDgAR4/fnyp9iar1dpyX3wzc7tIJGJaGg4ANputYQaexLzFYqkpN1dFuHGMnc1mk2Xm6rxvEuD9vD4IIXB8fIxwOIzz83O4XC689dZbmJ2dvdRmhxACmUwGp6ensFqtmJqa6shxsjhnGIZhGBPMjOVIqLOxHHMVzs7OsLa2hvPz82ufVd4LhkcM0wtUq1VZtUKzyldXVzE4ONj1x9Y0DW63u+l5R6Xl9Yzt8vk8otEoCoWCqbmdGZSdp9LzQCCAQCBwbaZr1w2NvwuHw4jH4/B4PHj33XcxPT3ddqY/m83i7OwMp6enODs7Qy6XAwCEQiEW5wzDMAxznbjdbkxPT2N6epqN5ZhLEY/Hsba2hpOTE7jdbrz//vuYmpq6lg2dXjI8uq0kk0kcHx9jdHSU2196GBJra2trSKfTGB4exsc+9jGEQqGbPjRTKpWKFOjGDHg2m635fZfLBbvdDpvNBovFAiEEqtUqyuUyCoUCisUiisUiksmk/BtN02rmxRtHzNGtXzaghRA4PDxEOBxGMpmE1+vFRz7yETx8+LDl55DP53F2diYFeSaTAXCxwREKhRAKhTA6OtrRaz2Lc4ZhGIZpk3aM5cbHxzE2NsbGcneYdDqNjY0NHBwcyFnlc3Nz19KfaWZ4dP/+fZRKJZycnNT0l37Hd3xH14/ptnJ2doYnT54AMA/eWazfPL02q5zGvjUyXTOWtbvdbng8HoyMjNSYrrnd7qbCUzW2M8vG53I5xGIxFAoF079X++LrCXiaF38TVKtVvHjxAltbW0in0/D7/fjYxz6GycnJpq9NsViUYvzs7ExuYNDG+6NHjzA6OoqBgYGufWY4SmAYhmGYK9LIWG5/fx9Pnz5lY7k7SD6fx+bmJp49ewaLxYLFxUUsLCx01QmYellfvnyJvb09pFIpWCwWeL1eCCEQDoexubmp+xsK9v1+P4QQ/Lm8JI8ePcK9e/d0mbaXL18CuHiNVbHerCeZ6SyxWAxra2s4PT2F2+3GRz7yEUxNTV3LZ72Z47nRdM3pdMLj8WBoaEjO+1Ydz6+6qWe1WuV9NqJarcp58fUM7lKpFPL5vGlfvN1ub+pOT+Z2nXgfKpUKnj9/jq2tLWSzWQQCgaYtQ+VyGZFIRJapx+Nx+RoFg0E8fPgQoVAIg4OD11YxwOKcYRiGYTpII2O54+NjaSzncrkwOjrKxnK3kG7PKq8X7KfTadPxRjabDQ6Ho2aucKeCfeYNHo8HU1NTmJqa0hlGnZ2d6bwqyHCLBDu3F3SHVCqFjY0NHB4ewuFw4O2338bs7GxHP/Plcll3LhrFdz3TNb/fbzrvu1cqrCwWi+yLbzQ9Qu2Lryfiz8/Pkc/nazYigAsh3Iq5Xb1++HK5jGfPnmFnZwe5XA7Dw8N49913MT4+XvP7dD2mDbTz83MIIWCxWDA8PIzHjx8jFApheHj4xsr3e+PdZxiG6SC5XI7NjZieoVVjuaGhISnUbzIwYC5PpVLB06dPsbW1daVZ5eVyuWGmzSzYdzgcKJVKqFarsNvtePDgAaanp+H3+3sm2L9raJoGn88Hn8+H2dlZCCGQTCalWD84OMCzZ88AAAMDAzqx3s+u2L0AzSrf39+Xs8ovO42gWq3WdTvPZrM15d/k2K7O+1YF+E3O0O4G1K/udDoRCATq/p4QAuVyueGYuUQigZOTE5TLZdPHUUW7w+FALpfD+fk5yuUyBgcHsbq6iomJCbn5Uq1WEYvF5DkXjUbl5uXw8DAWFhYQCoUQDAZ7Zp3sjaNgGIbpAGR4dHx8jM985jNsxsX0JI2M5ba2thAOh2Gz2XRZ9Wblh8zNQj2OGxsbyOVyTWeVVyoVaeZ01WA/Ho9jd3dXGh69/fbbbRkeMdeHpmnSGXt+fh7VahXxeFwKh729Pezu7gK42KwjsT4yMsLVDS1inFU+OzuLpaWlhpUJQgjT85H+JUduQtM0eT7eu3evRnw7nU5uDTFB0zTY7XbY7XYMDAw0/N1yuVxXwGezWZyfn9esk/F4HF/72tfwta99TQptVeS7XC6MjY3J9jKfz9eT5xWLc4Zh+p5IJIJwOCwNj5aWlm7dzjRzOzEay5EZzfHxMU5PT/Hq1SsAgM/nk0KdjeV6B3J9Xl9fl7PKP/rRj2JkZAS5XA5nZ2emme+rBvu0GfC7v/u7bRseMb0DldIODw9jaWkJlUoF5+fnUqzTFAiLxYJgMCj71YeGhvh9NtBoVrkQArlcru5mWD3TNeOsb/rX7Xaz+O4yNptNVp0QhUIBOzs7ePnyJcrlMu7du4f5+Xk5vzwSiSCRSEhneqvVCofDASEESqUS8vk8jo6OcHR0JI0b1b74euZ21Bd/bc/92h6JYRimgwghcHZ2hnA4jLOzMzidTqyurmJ2dpbLAZm+xeFw6IzlUqlUjbEcBepsLHdzCCHw8uVLbGxsIJVKSWduIQS+/vWvI5fL1QT71N+tBvuqw3Ir76HR8GhwcPDG3aaZzmG1WmVZO3DhXRCNRqVY39jYwMbGBmw2G0ZGRqRYv8trQLVaxf7+PjY3N5HP5zE4OIhgMAghBL75zW9KIW70YXA6nfB6vRgeHsbk5GSN6zlvfvQOuVwOOzs72NvbQ6VSwdjYGAYHB5HJZPDVr35VZtA9Ho80cAuFQrr2RnLFb9QXH4lEkM/nTefFU198PQFPhpqdgMU5wzB9Be2QhsNhnJ+fw+Vy4e2338bMzAxnE5lbhaZpGBgYwMDAAObn51GpVBCJRKRYV43lSKiPjo6ysVwHIIMjs57vZDJZk/mmmcFUdm7MtF012C+Xy9jf38f29nZTwyPm9mC32zE+Po7x8XEAF5lDcpY+PT3F8fExgLsxtq1UKtWYrkWjUSSTSZ2YisfjiMfjsNvt0nRtfHy85nzkeKH3yWaz2Nrawv7+PqrVKrxeL8rlsrwGkqkqtX80av9S+9UHBwfr/p6aZa8n4uPxOPL5vK5kfmRkBJ/+9Kc78rz5k8kwTF9A5aPhcBjxeBwejwfvvvsupqene7JniGE6jdVqlSIcgM5Y7ujoCM+fPwfAxnKtYgz2jV8bDYlo3E+pVILFYsH4+DgePHiAgYGBrgX7pVIJe3t72NnZQaFQwMjICD760Y8iFArdOvHFNMfpdMrKGgCydYIy6zS2jURLP41tIx8GszaQTCaDYrFo+nfkz0HijMQ3t7b1L9FoFOvr6zg7O9N9v1QqdX0TStM0OBwOOByOlvriScB38jrL4pxhmJ5GCIHDw0OEw2GZmfrIRz7ChkfMnYeN5RrTbrCvzv6lQJ9E9+HhIZ4/f35ts8qLxSKePn2KnZ0dlEoljI6OYnl5GSMjI117TKb/cLvdePjwIR4+fCjHtpFYPzk56amxbdVqFblcru75mM/ndb9vsVhkKwjN+q5Wqzg6OkIsFoPb7cbKygoePnzIG1V9TrFYRCQSweHhIY6Pj+U0Ck3TEAqFMD4+jlAo1HPtGzabTY5N7ej9dvTeGIZhOgQZHm1tbbHhEcM04S4ay3Ui2DeON1IDv1KphK2tLen6PDMzg6Wlpa6OaSTDo6dPn0rDo6WlJQwPD3ftMZnbgTq2bWZmRo5tI7He7bFtQgjk8/m652M9Hwav12s669vlcsnzMZVKYX19HS9fvuzarHLm+iiXy4hEIvKzGY/HdT8PBoNYXFzE2NjYnYz3+veqzDDMrYQNjxjm6twGY7l2g31N06TDMgX7asCvBvuNMJtVvrKy0tXRjEbDo8nJSSwuLjbsjWSYRqhj2+bm5uTYNhJEz549Mx3bVm/eM/kwGFtAVMdzo5GWy+XSjf9Txbfb7W4qvIyzypeXlzE/P8+mr32GcQrB+fm5XLupAslqteLRo0dYWFi4874pLM4ZhukJyuUynj17hu3tbeTzeTY8YpgO0avGcp0I9o3jja6SZalWq3j+/Dk2NzeRy+UwNjaG1dXVrgpk1fBICIEHDx5gcXGxaa8jw7SLOrZtcXGx7tg2ysBTSwe1h5j5MDgcDni9XgQCAdy/f79mCsFlM9vFYlFWrQghWppVzvQO1WoVsVhMbgRFo1G5lg8NDWFychKpVEpmzB8/foxHjx6xT8Brbr04/+3f/m243W4EAgEZnPCOG8P0DvUMj0ZHR9sW5WqwPzg4eCfLoTpBuVxGOBxumEVh+pfrNJYrlUp1DdcymQwqlYru97sV7DfCOKt8eHgYH/vYx+Q4q26QTqextbUlX+upqSksLi52NTvPMOVyuaYCJZvNolKpwGazoVQqyUqbVCol/87pdCIQCGB4eBjBYFCK907H0+VyWVatlEolPHz4EI8fP75TXhn9iBBCVmWcnZ0hEonIjZxAIIDZ2Vm5nu7s7ODg4IDH3zbgxiMuTdP+GYDvA3AqhFjt5H2Xy2Xk83mcnJzoAgCPxyPFOv3r9/s5kGeYa8RoeDQ2NoalpaWmhkdqsG8MML7ylWn8h//w7UgkAhgfL+Iv/sVTfPaziWt6RtdLN9fORCIhsyiUbaGSR3b/vn1cxVjOLNhXvyZjH8Jms0mxbTbv+7qDtNPTU6ytrSEWi8Hv93e9hSaZTGJrawsvXryAxWLB7OwsFhYW+sJN+zbQzXUTuHh/I5EI7Ha7dHymr+12e9erwKrVqqn4pvOS5kET5MNA877V89Fut+sEVzQaRTQaxf7+vnTLDoVC8Pv9V35exlnl4+PjWF1dRSAQuNL9Mt2BNnCo6uLs7Eyu9T6fTzdr3OFw6Mbfut1uHn/bhF54VX4WwE8D+B86fcc2mw3f/u3fLh0sk8kkkskkEokEkskkjo+PZc+Dpmnw+/06wR4IBODxeLiklmE6SDPDo8sG+2trb+MXf/HTKBYvlrXjYyc++OBi3MwtFeg/iy6tncFgED/wAz+gM2zZ2NgAcJF1HRkZkYHZ4OAgr5G3CKOxXD6fx8uXL3F0dIRIJCKN5SwWCzRNq8l8WywWKbSNwT6NN+qFz0ssFsPa2hpOT0/hdru7PgEiHo8jHA7j5cuXsFqtmJ+fx/z8fFfN5RhTfhZdWjcB4OzsDN/85jfr/txMtDf6mv5vtVqhaRqEENIE0ew6mcvldI+n+jDcu3evZtZ3Mx8Gn8+HyclJAG/GttE1gdYCl8ulE+vtZLmFEHj58iXW19eRTqcRDAbxiU98gqcS9BjqJAB6/2mjhww2SYzTmkYVSZubm0gkEvB4PHjvvfcwNTXFRn7NEELc+A3ANIC1Vn73I4CoGm4VQDx58kS8+pEfqfmZ+vPk3Fzdn//cz/2ciPt8pj8vA+Jnf/ZnRd5mq/vzJ0+eiKKmmf689PrnJZOfVQFR1DTx5MkTUa7z84Ld3vDnuUBAPHnyRFTq/Dw5N9fw569+5Eca/vzJkycd+bnZz27655UO/fwqn70nT56IXCDQ8LNVsNtv5WfvP/zJPyl+7ud+ThQtFtOff/DBB+LHf/zHRanOz7/+9a+LDz/8UFQA8RDPBCBqbvfuFVr6bAD4vZteC/tx7fw7f+fviJPh4Tv5+b0Na+eHH35Y9739iZ/4CfHBBx+Yv3eaJn7sx36s7s97de2sAKJgs4kv/eE/LP7u3/27YnNhoaufvYLVeus/e/22drazbl5l7fzyl78s9t55x/zzYbWKn/qpnxJfr/PzpMcjPvjgA/Hh8rLpz0+Hh8UHH3wgwrOzpj9Pu1ziN37jN7q6dv72b/923c/P3tyc+OVf/uWGn99f/dVfFTuzsyLndIq8wyHKynW+H9bOWx93Ohx1Pzs/8zM/U1cTlQDxxS9+UexPTnbts3fb186+qE3UNO3PaJr2e5qm/V63HmN1dRXOBjs5r169QqXuT4Hz8/POHxTD9DmvAgH8/u//PvJ1TFye2mzY3t6GqJOt+uxnP4sf+qEfgsVgCkWoWbgDPDT9nePju9vLdB1r58TEBKpc5t6zvBYjpvz7f//v8a//9b+u+/NQKITl5WXTn2lC4Ad/8AfxqU99qu7fHxwc1JTR3iRlmw1FpxNVqxXTz57hu7/7u/FoZ6crj5XxevGbv/mbiA8NdeX+me7SibVzZGQEI5mM6c+slQoWFhYwlE6b/rzyOh4t12nzsJdKcLlccBnGBRJpnw+/9mu/hmidDHR8cBBPnjxBsc79i9dZ+kY08kfIAvjd3/3duvf9pZER/NZv/RYqNhvspRIcxWLd6zxz/fzKr/wKknWqeixC4OMf/zgsFXNVdDg5ia997WtAk88PUx+t2cl3LQehadMA/q1oof9nZWVFfOELX2j5vr/85S/DbrdfLGJ1bq30PAhxMdJFLYunm1rWR0Y2anm8z+fjHk3m1iCEQKFQqFt2ns1mTS/qTqcTw8PDGBwcrJll2onz4zOfWcDRUa3T5717RXzpS9tN//6tt976uhDio1c+kGukm2tnu6TTaVnudnZ2JkWZ1+vVlTyy227nMXM8N5o9qTidzppyc/r3KqZrqrHc6ekpisUigM4Yy12WYrGI7e1t3azy5eXlrnwOhRA4PT1FOBxGJBKB0+nE/Pz8rTc86re1s511E2h/7VRbs8zOS2Nrlt1u152DxpFjzWLUarWKUqmEYrEob+r/zb6mf43TEFQ0TWu7DJ++tlgsNW7d6jpktVoxNTWFx48f3/mxWTdFsVhEJBKR1+xkMgngolWQStRDoVDTEZuVSgX7+/vY3t6W42+XlpZ4/G0L1Fs7e6HnvGtUq1U4HA7k83kkEgkUCgVT0WCz2eB0OhsKeLq53W7pcAtcXIzT6bSunz2RSMheHOCiB8/v99eIdrfbzR9cpucQQkjTtXaD/aGhIYRCISQSCcRiMVgsFkxPT2NxcbHrhkef+9wJPvhgAvn8m8Df5aric5876erjMhf4fD74fD7MzMxAiDdmMaenp3j58iX29/cBAAMDA1Ksj4yM8OiUFiiXy3VnfTcK9v1+v+m8726Z8FzFWK7TVCoV7O7uStfnBw8e4PHjx11xQxdC1BgevfPOO5ienmbDozvG3t4evvGNb+i+Z7Va5bmnjgBUfRiugsVigdPpbFvkCiFQqVRaEvN0S6fT8vuNsFqtUqhbrVY4HA7ZD2+z2VAul7G3t4dnz57prgmjo6Pcj9wlyuWyzkeGxphZrVYEg0Fp4tbqpBuz8bfvvfcexsbG7oy2qVQqSKVSSCaTsFqtmJiY6Mj93uqrhqZpiMVicDgcGBgYgMvlgsPhgM1mkx882nEsFApSxJ+cnNTMciQaifhQKITJyUkpulOplMyyJxIJnJ2d4cWLF/K+7Ha7HO+mCncOVplu0yjYz2QyNZ9/NdgfHx+vybrZbDZpeLS/vy8NjxYWFq4tU0qmb5///BiOj+0YHy/hc587ua1mcD2NOld7bm4O1WpVuv6enp5if38fT58+BQC5oTM6Onpnx7apc4TNzktjaXi3g/1OYDSWKxaLODs7w/Hxsc5MyufzSaEeCoWu/P5f56xyIS7MrMLhMBseMQCA4eFhrKys6M5Hp9PZk2JF0zTYbLZLnXO0id9IzOfzeZyfn8uMrNVqhRBCF18IIWRSa3d3V3dclBBrxTCPNgF68XW+KYxz7M/PzyGEgKZpCAaDWF5elhNY2lmvSqWSnLRTLBYRCoXk6Mnb+vqXy2UpwunfZDKJjNK2Mjw8fHvEuaZpPwfg2wCMaJp2COBvCSF+phP3LYTAgwcPkMvlpMuk0ckSuNh1dLvdcLvdGBoakosBiXghBKrVqhTw+XwehUIByWQS+XzeNBtvtVp1wt3n82FkZAQ2m03uVJLj5uHhIZ49eyb/1u1260R7IBCA3+/niz3TMhTs1xPfVG5KqMH+yMiIqcNyPc7PzxEOh3F0dASbzYalpSXMzc3dSKnaZz+buDNivJtrZ6ehcWzDw8NYXFyUQQOJ9Z2dHWxvb8uggcT6bRnbVq1Wkcvl6opvM4dlOgfJYVnNfPdqsN8Ih8OBiYkJTExMyMoKyqo/e/YMT58+hcViQTAYxNjYGMbHxzEwMNDy8xTiwhl4bW0N6XS6q7PKq9UqDg8PEQ6HkUql4PP58NGPfhQPHjy4FZ/X20y3183BwcGubAT1GpqmSXFspFwuY3d3F/v7+6azyqvVao2Yz2aziMViSCaTSKfTKJVKKJVKSKfTMvatVCoN++DVYzKOsGv2/dtw3lar1ZpWAmpbGBoawvz8/JU2wYvFInZ3d7G7u9vW+Nt+olQq6cQ3fZ3NZuXv0HSvwcFBPHz4UOq1TlZl3bg4F0L8SLfu22Kx4J133tF9j0Q2CXYKmPL5PHK5HM7Pz5HL5Uz7cNxut9zJGx4elv9XZ1fSbiEJeOpTPz09rVsG5HQ6deK7Wq0ikUjg9PRUtxB5vV4MDg7W9LP3W5DGXB0K9uuJ77zBJEYN9icmJmrE92WC/bOzM4TDYZyensLhcODx48d49OhRT2Tt7gLdXDu7jdVqlf1sjx8/rim329zcxObmphzbRmK9V8e2kSdJvT7TXC5XE1TSeCN11jf9e9tbntTKivn5eVQqFUQiESnW19bWsLa2BpfLJbPqo6OjdTf8rmtWOWXlt7a2kMlkMDAwgI9//OOYnJy81e/XbaKf181exzir/N69e1hZWamZVW6xWGTiqh7GsW0kjlTvGp/PB6vVWrfXnuLvYrFYtxqWsNlsl+qvv47Z9fWgqgPKjEciEfk8A4EAZmdnZfvYVTwv8vk8dnZ2sLe3J8ffLi8vY6iPzS6LxWJNFjyVSuk2yqklORgMYnp6GgMDA/D7/dfiI3bj4vy6UbPk9RBCyMy22Y16Kc1OdofDIe/f7XbLmX+UjbdYLCiXyzoBn8vldFn5etl4Knt8+fKl/J6maXC5XHJGO2WneD57f3OZYJ/MnMbGxmrEd6eCfTPDo9XVVTx69OhOliMzncFms2F8fBzj4+MAIEugKTBbW1sDcNFeQaJ+dHQUfr//WtY5uibUy3xnMpmaDV2n0ynLzs3Mnm5DpqZTWK1WKcKBi2vd6ekpTk5O8OrVKzx//hxArbFcIpGomVU+NTXV8c+EmeFRtzYAGKbfEELg8PAQ6+vryGQyHZlV7na78fDhQzx8eDGFJZPJSA+Ts7MzHB0dAbiIe6hXfWpqqq7gV03zzMrxjd+n3vpmpnkA2jbLo1u71bCqlwtdHynp5/P5ZM94KBTqSOViLpfD9vY2nj17hkqlgsnJSSwtLdVstvQyVOVsFOFqAstqtcLv9yMUCkkBPjAwAK/Xe2PrO0fTJmiaJs01GpUnlUqlugKesvDG8mHgIhBVBbxaTk/ZeABSsBsFPGX7C4UCKpWKfLzT01Pd45AJh9vths/nw8DAADweT41TPQcX10+jYJ++7qVgv57h0czMDLdbMB1HLYEGarMo1K/sdDqlC/zo6OiVzMVKpVJD8W3cjHU4HPB4PBgYGMD4+HjN+cibVZfH4/HUGMsdHx/j5OQE4XAY4XAY2utRT1arFUtLS1haWur4WmQ0PAoGg3fO8Ihh6kGb9Wtra4jH4xgYGMAf+AN/AOPj4x0/P7xeL2ZmZlo2HKUbVfJd1jQPgKlpXj33e5qcQV83wmKxNBXz1WoV2WwWqVQKsVhMinGPx4OJiQn5PBslHNslk8lga2sLz58/hxACDx8+xOLiIvx+f8ceo5PQBCFjKXoqldL5tdhsNmmSSgKcdFGvree3PnqoVCpdEw9U0jIwMNDw8c2EO4ns09PTpn3wdPN4PAgGgzoRX61WZbY9nU4jHo8jlUohk8noyvfrzWGnxyGx7nQ64Xa7a4zvnE4nZ3rapF6wT1+bma7RKD7qM73pYJ8Nj5heoF4WhcT6wcEBgDdZFBLrahZF9WEwE99mPgxUfTIyMlIz3ug2j8bqJVRjuZmZGayvr8tMOrk+h8NhHB4edsxY7i4aHjFMO5yfn2NtbQ1nZ2fweDz46Ec/iocPH17L+WE0HBVCIB6PS7FuZjgaCoWk71O7WK3WphW3ZpD5XSsu+BQvFgqFlrL1xWJROq7v7+83Ncujfxsl5FKpFLa2tqRxNU3a6dZEjXYRQsjqZaMQV9uGSZfdu3dPJ8L7qV3sVotzIQS++MUvygy4ersusyqr1SpHDNXDrA/emIE364OnknZVwLtcLl0/vMvlQqFQQDweRywWk+7x1L9TrVZljzJlIoxjsggS7M3Gzt2VbHylUqnb853NZhsG+6FQqKeDfTY8YnoZsyzKyckJjo+PcXBwILMo5ERcqVRqPD8sFotsBZmYmKgxXXM4HHdiHesHisUitra28PTpU1SrVczOzmJ5eRlOp7Ohsdz4+DjGxsZaNpYzMzxaXl5GMBi8hmfJML1PMpnE+vo6Xr16BafT2RMVdJqmYWhoCENDQ9JwNBaLyQ3cmzIcpTnxlHgxI5/P62aNU7m13W5HMBjE4OAg/H6/3Iisl7Wn3vpisdiSaZ4q2jVNQzqdRjqdhqZpcvKU3+9HpVJBPp+H3W6/tvdYCIFsNluTBU8mk7qkFk3impyclALc7/fD5XL1/bX7VovzarWKQCCAcrmMaDSKw8ND+TO3241AIKAT7DdV2tBuH7xqYEe3ZDJZdwQciWl6jOHhYbhcLrmrR1n3RCKhcySk43I6nTrn+mKxKHs26jnVNxPw9PNeFnpUTlRPfBtN1yjY93q9GBoa6stgnw2PGOCi5/d3fud3pPEkmVBe11g8M8iHoV7m28yHgSqLCKo+Ghsbw/3793tqQ4yppVwu4+nTpw1nlTcylnvy5AmePHnS1FjOaHh0//59LC0t9bXhEcN0kmw2i83NTezv78Nms+Hx48eYm5vryTWUjESp5101HD07O9MZjgaDQdmzfh2Go8ViUWd+SmPmbDYbRkZGMDMzg9HRUQQCgUsdS73Z9WaCPpPJ4Pz8XLdxTa0KxjZZ4E2r7GWM88yeixACmUzGVISrSULy1ZqamtJlwm9iItB1cevFeSKR0Bkm+P1+2O12OTj++PhY/r7dbq8R7H6/vycE5HX1wYdCId3YCurjUEW/0+nEwMAA7t+/D6/XK7PlpVJJZ2qXz+eRSqUQiUTq9t44HI6WRHw3HDGpRKae+FY3KoCL94AcltVZ3/RvP+/WkeHR1tYWcrkcBgcH8S3f8i24d+9e3z4n5vKUy2XYbDYcHR3JLDTw5txXJ0YMDAx0JECjjT/juaiej8bqIZfLVTPrW3U8t1gsqFarulmvh4eHODg4uLVj224DRtfn8fFxrKysNB1R1a6x3ODgIM7OzrC/v49KpYIHDx5gcXGxrwyPGKabFAoFWbUCAHNzc1haWuorYXSThqPGjYFYLAbgIpkzMjKCBw8eIBQKYWhoqCPXn1Zm10ejUYTDYcRiMdjtdjn+1uFw1C29N/uaRt4Vi8W6FbeEzWaTc+hpPLWxmo18XO7fv4+BgQEMDQ3deFLgptAalT/0IisrK+ILX/hCy7+v9qLQqAH6EA0ODsqZzpqmIZlMIpFIIJFIyN+xWCwYGBjQCfZAINDXZj/1+uCN/fBGLBaLLFkXQqBUKukyVWo1AgXvNHKAhL5RvBvHzuXzedNeG3X0Rj0BTzda4NRgv574rhfsG93O1WD/NlEul7G3t4ednR1peLS0tHQnDY/eeuutrwshPnrTx9Et2l07CRpHQy0x9LV6MfZ4PFKs079mG5u0W1+vHcR4gXc4HDXeC+p5eZkyO6qkomsCBUs3kUVh9JDHxfr6upxVvrq62pFZ5UIInJ+fS6GeSCTkz9xuN6anpzE1NdUz/ZX9BK+dtw+aVb61tYVyuYypqSksLy/fyvMjn89Loa6ObXO5XDqx3spzr1QqOD8/l/d3fn4OIYRuMzgUCmF4ePhaWwGEEIhEItjc3MTZ2RkcDgfm5+cxOzvbkfG3FOPH43EkEgmkUimk02nZR69isVjktbWZqK83u76Vr/shXq+3dvavwmwRYy+KMYvy9OlTeeIMDw9jbGwMKysrcDgcMgiNx+N49eqVLoPk8/lqBHu/7O602gdPYpmyy6p4J0MzVZzTz9VqBOCN4KWdsJGRkboZWRL9jQR8Op1umI3XNA2appmKfJvNJh2W7927B5/Ppwv874rJGRseMa1Cm16jo6Pye2o5mrqpSeNtCBoXQy00xrYbm80mxbY675vOx26UTNpsNl12tdfGtt1VaL45uT53unKHgjzqZaTMld1ux/n5uSx19fl8HTOWY5h+o1qt4tmzZ9jc3EShUKg7q/w24XK58ODBAzx48ACA3nD07OysoeFotVpFLBaT149oNCpjz6GhIczPz2N0dBTBYPDGTH1pykU0GoXT6cRbb72F2dnZSx9PpVJBOp2uMWVLp9M6TUAtnlRhR5v26uOqpnnNDPMuM7vezBSvnlke3XrBN+vOXXXogqz2oqhZlM3NTQD6LAqV0+XzebkrFI/HcX5+rutjd7lcNYL9JufkXQXVLKkeNL6AxDoJ90wmg3Q6XTO/PRqN4tmzZ/LvqTfd7XbD7/fLNgJyph8YGEC5XK7JsFH/e7VarTk51ew+HaOa4S+Xy3JBqZeNN+uX74cduFYwGh6Nj49jaWmJDY+YliAfBmPm28wAEbj4vFGlDWGxWODz+RAIBGTZWiAQuLEySePYNmMWxWxsWygUari5ybROLBbDkydPuur6nEwmEQ6HcXBwAIvFgkePHmF+fl5e31RTQaOx3MjIiBTrrRrLMUy/YZxVPjIygm/5lm+5k7FBvbFt1BZFiTqr1YpqtSqvb4FAALOzs9IZvhMZ6csihMDR0ZEsX7/M+NtyuawT4STE0+m07vdoVDOVo/v9/hoRXg/VNK9dzGbXNyrDT6VS8ut2Z9e3IvIvM7u+HndOnBsxy6KozolqFmVkZASjo6OYmJjA0tISNE1DsVhEPB7XifaTkxN5stpsthrBPjAwcCvEHrnF06aEGbQrRqZ1sVhMntwk6rPZLKLRaFuP6Xa7MTExISsAVMdzY/BkzMYb58a3ko2n3vhmRnfd6I3vBHfF8OiLXwzg858fw/GxHePjJXzucyf47GcTzf+Q0VEoFHB8fFxTdm5sd1F9GMzG/5EPA7nJUoadDCwpIwFcbG6a9bNfd7bhMlmUTs+ZvQukUimsr6/j5cuXcDgcePvttzE7O9vR6qVYLIZwOIxXr17BZrNhYWEB8/PzNVVu6mimqxjLMUy/QZnVtbU1JBIJBAKBrs0q72fotWgUu2uaBovFIm83gXH8rdfrxfvvv4+pqam6x1QqlZBKpWpGlGUyGfk7mqbJTXXVHd3n891YxWknZtdfpr++HiMjI/j0pz99lackufPi3IjD4cD9+/dx//59APosytnZmSzbdDqdsrSFgjO1h4KEOon2Z8+e1e1jpz7t21o+VyqVUCgU5Mx5u90Op9OJcrlcYwgBoCbTpkImbmRuR47yJASMs+FppBztajWaSQ+8Kec3E/BqBUArvfGNhLzT6byWBS2Xy2F7e1t+/iYnJ7G0tHQrS9S++MUAPvhgAvn8xQXo6MiBDz64yIayQG+PXC6H3/u93wMAeX6FQqGasvNWfRhoLIyahSH3dWMv+97enu7c8nq9Nf3s5GVxHTTKorx8+VJmUfx+v+6acJNZk14ml8thY2MDz58/h9VqxfLyMubn5zvawkCGR8fHx7Db7VheXsajR49aDuLaNZYbGxtjQ0Gm74hGo1hbW0MkEoHH48HHPvYxPHjw4E6LcmrZos1YdbyZx+PBvXv35BrvdrtrWmXNxraFQiEEg8Gurg/VahUHBwfY2tpCKpWC3++vGX9L2WOjO7pxSpPf78fQ0BCmpqZkJvw6r7nXwVVm15dKJVMB38lr/q03hMvlch110aaT1jiTkIJX9aRVoaBOzbDH43HdLozax06Cvdf72Km03cxwjf41fsYo02Zm8kQl5DR/nQJ3yrgZd/LUMhLaCTM+ntk8eLNbOwuPWhHQyOgun8/X3Wmz2+0Ns/BXycZnMhlsbW3h+fPnEELg4cOHWFxchN/vb+t++onPfGYBR0e1i+O9e0V86UvbTf+eTY3eUKlUkM1mb8SHQQihK6Wjc18tpaMAwija3W73tQaWzQxH6XowMjJyazdfW4Vmle/u7kIIgdnZWSwtLXXsGlfP8OjRo0cdFf6qsdzJyQnOz88BvPEoILF+G42z6sFrZ39hnFW+tLSE2dnZWyW+2iGXy+mqo65iCHfdhqOVSgUvXryQ428DgQAePXoEn89XI8TVsaKUJFRHk/n9fni93jv7ObgJ6q2dt1qcV6tV/OIv/iKsViuGh4d1t06N/kmlUjqxTpngVrIolAU2CnZ1F+um+9hpl6iR+Da6LTqdTlPxTT3sVwn2y+UyUqmUTrQbFx2bzQafzwen0wm73S7FPmXDc7mcqUMk9b83ul0mwKbHbiTgGznVq+0DZhl4mkXvcrmQzWaxtbWFFy9eQNM0TE1NYXFx8U4Eim+/vQIhas8LTRP48MP1pn/PAWZvQ+Mv1dL4ZDKpK7W32+06sU7/XlcW25hFiUajOsNRuh5ct1PvTWKcVf7w4UM8fvy4Y2uS0fDI5XJJF+Lr2BApFosyq35yciI/j3fJWI7Xzv4gm83KqhW1zeM2fzbNyOfzuvZV2vh1OBxSjIdCoY6YgBpbZWmuudoqexnD0XK5jJ2dHezu7qJYLMrybmNCyGq16sS3KsLvcoVEr3An3dqFEHjnnXdwfn6OaDSqcxH3+/06sX6ZPnC1T+3Ro0cyi0Ji/fnz59jb2wNgnkXRNE0KViqjByD72FXBXq+PXR1ddtndrnK53HC8kdF0zW63w+v1wu/36+Z9kwDv5kJvs9mk+74KzWNXg/ZoNKo7dhr1Ri7tNGrBaGpHPfBmGW+73d5UwBsz3VR636x8hrLxjcR7NpvF+fl5zWgKI263W7ZKvHz5skbIOxyOW7cwj4+XTDPn4+O1rRNM/2G1WuW6p1IsFmv62Q8ODnQtM263u0a0+/3+jgvkVgxHNzc3dVkUmnF7285Hs1nlq6urHWupMTM8evfddzE9PX2tGx8OhwOTk5OYnJxkYzmmJzHOKp+fn8fi4uKd8UwggUyxOQlkm82GkZERzMzMYHR0FIFAoOPn5WVbZUk8U/sXZcBJY6hJPODiWuP1enH//n1dNvy6q8mYznCrM+dGSqUSzs/PdTcSYJRdHxoakoL9qgY/lEVR5x1Wq9VLZVEqlQqSyaQU6yTezfrYSbAHAgHY7XZZomomvs1mEFqtVtM53/R1v/RSCiHk2Bw1055KpeRGh2pyoZpReb1eVCoVOUqu0Ux4I2ovi7H3nfp0nU7nlRZMysafnp5ib29P9t+T271qgGdWJdAsG6/+v18yfD//8zb8xE88QrH4pirG5arigw9ettRzztmf2wNVJRn72VOplKxOoXPfaEDn8/m6Fsy0kkUJhUJ9Ld6Ms8qDwSBWV1flhkUn7v/w8BDhcBjJZBJerxeLi4sNDY9uCqOxHL3ft81YjtfO3oSyq9vb23JW+ePHjxtO4bkNlMtlKcbV0nLaJKPM+NDQ0I2vGarh6OnpqYzHrVYrrFYrKpWKaQzncrmk6B8YGOho+y5zfdzJsvZmkPGDKtbj8bgUbh6PR5ddHxwcvHJJdjQalSehWS9KO1kUtY89EolIJ3T1RDYzV6OMvVF40/+vKhx7nWq1inQ6XVMar/azUymQUbQb+yPJQE4V7NlstuZ7Zu8BCfbL9MEbDY/m5uZMDY+M2fhGRnf1svFmvfFmZnc3lY1Pp9NYX19/PQbmXXz5y38Y0ainbbd2DjBvP3TuGzfsjOe+WT97N4IfYxaFjqNeFqWXEULIOfE0q3xlZaVjs8rJ8CgcDiOdTsPv92NpaQmTk5M3HmC3SjablUL99PRUVncMDQ1hfHwcY2NjPSEY2oXXzt7COKv8/v37WFlZaWqI269UKpWaRBi1E6mmbL3QTqQmjYzGbGqlp8VigRCiJnYcHBzE6uqqNKtk+hsW5y1SqVTkDHO6UfmIpmkYHBzUCfarBE31Sm0oi0LBmd/vR6FQMO35pvFGxvfR4XDAZrNJcaaWeDqdTgwNDd2KeeydhGagG0W7KlqdTmfNuKdAINCwlJ9M8xpl4Fvtg6eLUCqVkqK8U07Hxt74Rn3yrWTjjf3wnc7G53I5bG5uYn9/HxaLBfPz81hYWLj0a8EB5hsqlQpisdidcaCmc994/qvnPk17MIr2TpqNqS7Bp6enOsPRXh7bdn5+jrW1NTmr/PHjxx2bVV6pVPD8+XNsbW0hm80iEAhgaWkJExMTfX3NqlariMVipsZyo6OjMrPeD1lOXjt7AyEEDg4OsLGxIWeVr66u3rpZ5XTu0DoZjUZlRdTQ0JCMnYPB4I3105OxqZk7uho/uVyuGlO2gYEBCCGwvb2Nvb09VCoVOJ1OlEol+TzZcPR2wOL8CtDYrlgsJgU7nVwOh+PKZnNCCBSLRXmhjkajNbtoRqhE2qzs3OPx1ATUZn3sanl3p/vYbxPU72MU7eoC6/F4aoJ2v9/f8utHxnv1hHsqlTLdhAEu1wd/Fcyy8fVEfCvZ+EYj58yy8cViEdvb29jd3UW1WsXMzAyWl5ev7PrMAeYbDg8P8dWvfhXAxRrn9/tlz+zg4GBHBWkvUygUas77ZDKpW5s9Ho9pP/tV186rGo5eB8lkEhsbG3JWObk+d2LzrVKp4NmzZ9je3kYul8PQ0BCWlpY6lonvNeoZy/n9finUezUI57XzDel0GrFYTLawXUfPr9mscsqu3oZzRQiBRCKhm4pBa3AgEJCbliMjI9e+FlI1lnFGuNpCBbzxPTEKcePxZrNZOf62Wq3iwYMHWFpawsDAQEdbZZnegMV5B6lWq0ilUohGo1Ksp1Ip+XO/349gMIihoSEEg0EMDAygXC7rst3Gvm+jEHc4HHKsWKVSQS6Xk7/jdrulw+NVsihX6WO/61BLhNm4J7Wf3aw81uPxtNy28OrVK4TDYcTjcbjdbszPz2N0dFRm4skkTi2jb6cPXr11o52BsvHq8dYT842y8eREWiwWkUgkUK1WEQwGMTc3h8HBQbjd7itfjDjAfEMikcDGxgbi8bjpphC5otP81n4Y+9gpqCzRrJ/deO4bRXur5369x1UNR41j20isX4eAy2azsmrFZrNhfn6+YxU85XIZe3t72N7eRqFQQDAYxPLyMkZHR2+F0GgF2pg5Pj7GyckJIpEIqtVqzxrL8dr5hq9//evY39/Xfc/lcumSJ263W/f1VTbP1VnlXq8XKysrmJyc7InPxWUxbkxGIhHpD+Xz+XQbk9fl11CpVGRLlCrE1ZgPeLNZS+KbrgPN1sZ0Oo3t7W352ZmamsLCwkLD8bedbpVlrh8W510ml8vh+PgYkUgE8Xgc6XTadCwWYbVa6xqueb3emhP5urIo9Dhqhr3ePHYS7HcpMG8GLeDGbJvqrGmz2UzLY+kic1XDI7M+eLNbvT74eiZ21B/frWqKenPjc7kcYrFYzUXQiM1m02Xd33rrrbZKQjnANEd1oD49PUU8HjfdAKLP9cjIiGybuUvtMrRpa6yyMTv3jef/ZQLMZlkUuiZ0MouizioHgNnZWSwuLnZk/S8Wi3j69KkcDTQ6OoqlpSWEQqEr33e/U6lUcHZ2JrPqlAygjXoS6zdVQcFr5xtevXqFnZ0dpFKpmsoxGutqxGaz6QS7KuDpX+N1N5lMYm1tDUdHR3A6nVheXsbMzExfVjtSsoNaes7OznQtPWp82+2WHhrZaRThmUxGF3/4fL6aLLjf7297YzSVSunG305PT2NhYeFSoyabtcreBsPR2waL8ytSrVaRzWbrup4bg1WLxQKXyyVPVCpZJtxuN4LB4KXN5q4zi0KjHFSxbjaPXRXrdy0wb0apVKoZ95RMJnWbHjTiLJ/Po1QqwePxYGlpqSsuxGofvJmBXaM+eBK/nZ4Hb3aMquvz8PCw7J8rFosNS+lzuRw+/elPt3Uh5wCzdcrlMuLxuNwoTCQSOl8LwmKxIBAIyDXuLrbL0LlvFO3Gc5+EumpC2c55VC+LQtlWCswGBwfbfv3L5TJ2d3exvb3d8VnlhUIBu7u72N3dRblcxvj4OJaWlm5dn2wnqWcsNzw8LIX6dRrL8dppTqlUksmOeue+1WqVY12pvc1sLaWNcrvdjmw2i1QqBavViocPH0ox10/xVi6X0yWbKJ50Op06f41uPa9yuVxTim40BqaJHqoIp4keV93wTCQSCIfDODw8hNVqxczMDBYWFjq6+XCbDEdvKyzOm0Cjd8zmfJMoV6Eso5rtVjPgZs6+ZDYXjUZl/3qnzOZuoheFSoxVwW7Wx66K9rsWmDdC3fR4/vw5Tk5OTH0G6o176vbr2KwPnm5mgcRV++DJ9TkWi8Hv92N1dbXrvaYcYF6NbDYrTXoikQiSyaRppYOmabJdRvW5uEvtMrQ5ZtysM3pZeL3emix7q+d+vbFtNptNBr6jo6MNsyjk+hwOh5HP53Hv3j2srKx0ZFZ5Pp/XGR5NTExgaWmpZo4905heMJbjtfMNFHc1ula14mNDYtzhcMBqtUrTSjXJo2KxWExL5tV/b9KvoFAo6Mwu0+k0gIvPqSoU/X5/R6/ztEGirrGpVEoX06ttSKoQ70acFYvFsLm5iaOjI9hsNjx69Ahzc3PXUn3ayHD0OqsTmDfcWXH+5MkTDAwMYHR0FBaLxdTtnMS3sdxI7RMylp13qryXzOboFovFaszmqH+9HbO5VntRLpNFaQT3sbeOmeHR8vIyxsbGZD+7evGmixkAOdPcWBp/HeYzRqgcvdEs+Fb74MnYJpFIwOVyYWVlBVNTU9fynDjAfEO1WkWpVLrSeLxqtYpEIoHz83NEo1FEo9GagEi9/ni9Xp1gv4vtMlTeaQzaVU8TOveNor3Zud8si0LBGWXDL0YTriOTyXR0VnkjwyPm6rRiLBcKhTpqGMVr5xsODg7wjW98o8YouFnLgfHcV70sVOx2u/T5IOFOlZ2UYKJrrxGHw2Eq3rthXlcqlXRl6onExUhTm82mm0YUCAQ68pjFYrGmFJ2MdAl17VRFuNfr7XqyIxKJIBwO4+TkRE7amZubu7FWlH4wHL0L3Elxns/n8e/+3b+r2/vtcDjqim+Px3MjbofVahXJZFIn2NXFeWBgQLfgt9o7oi6Ujca2daMXpdU+dmNZ/G0NzMvlMp4+fYqdnR0UCgWMjIxgaWmpqeERbXwYRbsqfMmoyyjab3pxrVarOrGuBhD5fN60NQQw74M364vvxIWVA8w3nJ6e4jd/8zehaRrsdjucTqcuiDObe9/Ke1AoFGTVUCQSQSwWk9UilG1S12tul7mA+iCNol0NPOncN57/9c59yqJQYEbnn9PplBNE/H4/3nrrLYyPj1/5NU+n09ja2sLz588BtGZ4xFyNVozlxsfHddlKmg/dDrx2viEajWJ/fx/n5+cyzgIuYhyjUXCjNbNarWJvbw+bm5soFosykVEoFFrysfH5fKainZJRZlVvdL01y7o3M6+jhBCtJ2pbjdGc7CrXa3r+RhGuxg9Wq9V0PNl1XzuEEDg7O0M4HMbZ2RkcDgcWFhYwOzvbcwkpapVVHfFvynD0LnEnxbkQAr/+678uTTgKhYLMFlgsFoyOjmJ8fBxjY2Pw+XzdPOwrQWPWVMFOwtZms8msOt1aEbWURaHgrFEWpRuL2V3sY++W4RG1FxjHPakXXhrjYRz3dNPjNoyzymdmZnD//n0Ui0WdeFd74+v1wRtF+/T0dFtGWxxgvuH4+Bi//du/3dDU0ghNmFA3Tcxu6meOxIO6tlGGBbhY3zRN032WbTZbzbpwV9tlKFtkzLaprxeto8bWGOP7cHBwgM3NTV2FDnAhKmg6yMjISNvmdclkEltbWzg4OLiy4RFzNeoZy9HmW7VaRbVaxWc+85m27pfXTnNKpVJN7EYmcVartSZ2o+qxg4MDrK+vI5vNIhQKYXV1FcPDwzX3bbzum537Ztd91QtJFetmAt6oEWw2mxTqmqbJaULquqGK8cu0UlLbj7Ef3GiyZ7PZTEX4VaZidAIhBI6PjxEOh3F+fg6Xy4WFhQXMzMz0jbC9CcPRu8idFOdmUAaZLk4kSr1er67kq9d2tVSo/InKRWOxGOLxuFxEPR6PbsFvxWyuV3pRjH3sdNHp5z52o+HRvXv3sLS0VHOx7STkoWBWIkeCi8xOjBfv69gAUV2fhRCYnZ3F0tJS040lyug1c6MvlUr47u/+7rYEAAeYelTPATVYy2QySKfT0lnfDGPJugr5EdQT73a7Hfl8XpbEn5+fy/VI0zRZal8sFnWf5bvex07QuW8U7clkUrfZQtVKTqcTsVgMsVgMTqcTS0tLmJmZQSqVklmUs7OztrMo12F4xLSPEALJZBKnp6c4Pj5GNBpFpVLBhx+u4j/+xz+ERCKAe/dK+NznTvDZzyaa3yF47WwVGsOoivV4PC7PS4fDgWq1inK5DJ/Ph7feeqstrxVKehiv+2bnfis+NnR/tP5TvJlOp3WVj0bUKS/G7Dv10dM1IpfLmRqzqZsMVBWkjia7qTa+RhjH33o8HiwsLGB6errvBWwzw1G6JnS6Vfa2w+K8Dul0Wud6WqlUoGkagsGgFOuDg4M9tQCYUalUanZoqeRRdUymsqpGAkztRaEbLcRqL8plsiiXfW5qHzuJdwoWzQLz//SfpvEP/+F9HB/bMT7eXqDRKXrR8KharcpZnepuu+pQarVa6457uup5QCX9W1tbKJVKePDgAR4/ftzxypVyuQyr1drW8XKA2T4UXBkFvGqsaWZyaLFY5HtTrVZNhbw6Gs9ut8vNAqqAUjfsaFOnUCjogjq1j5029O6qOFTPfWqdikajuvdH07Qax3gqjVdLHqPRaN0sSjKZrDE8mp+fv7Z5xIweIQTS6bTuek6bal6vF6Ojo1hbexv/4B+8hXz+jYBwuar44IOXLV03ee28PJVKBS9evMDW1hYymYxuY5PORzXZ4vP52r4O02egHR8banFMJpOyzJnWCvJxIt+iSqXSMPturHajFiYhhG7tt9lsuhZHEuRmBsu9hNn426WlJTx8+PDWCtV6rbLtGI4yLM5bolqtIhKJSLFO5ZU02oHEer/0Qjcym3M6nboFf2hoqG6WSQiBRCKB09PTumPbQqEQRkZGri1TRRcbo2AvFAr48MNV/NIvfT9KpTe9lk5nBX/9rz/HD/9wtsG9dgaj4dHDhw+xuLjY04ZH5ARrHPemZkYdDodpeWwr73m1WsX+/j42NzeRz+cxPj6OlZWVnnJm5gCzO5TLZdOAjb7OZrM14lzTNNhsNhnYCCFQLpfrltkbM/V2u132RpbLZd3n2Ol01mTYLxPw9iuFQgFbW1t4+vQpAGBmZgb37t2rybarPZwOh0Mn1r1eLyqViix7JIdwwmq14sGDB1hZWemb6+Vtwjgzmjbq3W63rhKOHNw/85kFHB3VehPcu1fEl7603fTxeO28HIlEAuvr6zg6OoLL5cLy8jKmp6dRLBZrYjcSxg6HQ/atU1n8ZT1lVB+beDwu++SNG6oWiwVerxfDw8O4f/8+RkZGTB+TqjrVDLixYg+4WB+o4obMR404HI6Gve+9kDWvVqtyYyWdTsPv92NpaQmTk5O3VpTX46ZbZfuVOyvOj4+PYbPZ4HA45K3Vkyafz+uy6hTgBQIBKdRHRkb65iTslNkcjW5pJYtynaU8VIL1fd+3itPT2uxYIBDHj/7oP+5aYG5meLS4uNjTfgbNMBv3pLrvAxetD2Z9bTS31WxW+VX77LsBB5g3A/UX1hPv5DtgxGazwWazyQoJKgdtJOItFotcr9UA1GKxwOfzyaCXsjb9XoqoQrPKt7a2UC6XMTU1heXl5bqtH9TzaTz/1deN2hPoPbJYLLDb7fJayVmU64FmRtOt3cD47bdXIETt9zVN4MMP15s+Pq+d7ZHJZLC5uYnnz5/DbrdjYWEBc3NzdVtEqBVBjd1Uszm/318Tu7USl9YzhSSfCjKHzGazSCQSunPf6XTC5XLBZrPJdjPj1CO3223aE24U9mQYW28T9zLmdTQTvhtUKhU8f/4cW1tbyGazCAQCWF5exv3793l9e02vtMr2OndSnAsh8Au/8As137fZbNKB2OFwyH8b3Ww2GxKJhBTr0WgUQggZfJBY7zch1gmzuUqlgkgkIk9EyqKoLp3X2YvSKND4mZ/5WdM+9qsYTN01wyP1Ym0c96SW47ndbpRKJZRKJbjdbiwvL2NqaqpnN7M4wHxDtVpFpVKRhmw3DZkOmQVw9H+z8nnajKXnY2Ym2AibzQan0wmv1wu/3y9bgqjcvh/MfWhW+ebmJgqFAu7du4fV1dVLVfKo5/7Lly9xfHxc03uqaRo8Hg+cTieq1apulCJnUTpDoVDQzbCnTXaaGU23VjdDOHPemE6J80KhgHA4jL29PQDA3NwcFhYWLtXycRmzOXUT5/T0VBrw0nlJgonOS2MrTCwWk1Mi6mkHl8slNwuGhoY65mNzVfO6euPj2olHyuWyHH+bz+cxPDyMpaWljkyzuM1QpavqYXKTrbK9xJ0U5+VyGb/xG78hgwOz56qemI2ciWmkEIl5m82GarUqdwtpV8/lcsl+9fHx8Z7vlTFCJ1EsFkM0GpXuyWZmc8FgEIFAoCa7dNO9KK0EGpfpYzcaTBkNj2ZnZzE/P39ndwKr1SpSqRRevXqF/f19ZLPZmnJjGvli1s9+03CA+YZEIoFf/dVfhdVqrRmZZmbi1uootW5hZl5nNve32fXObrfLDQk1E18Pen08Hk9dgzvqmb/u6wD1QdKs8pGREayuriIYDF7pPo2GR4uLi3jw4IHOgJKy7ca59na7XbdJ4na7pSAYHR29s2tnM0qlkm4DPB6PA7j4/BnNmC7zOfviFwP44IMJ5PNvzmHuOX9DO2snxU+Dg4OyKq9UKmFnZwc7Ozsol8uYnp7G8vKybCvoBM3M5tRrsdVqlUmT0dFReDweWY6ulqSn02ndmun1ek1nhKsmdPTvdfnYqM9fHdNqVoVlZmJnNK8zfu1wOFAul7G3t9f2+FvGHLVV1uhnoLbKhkKhvtgAvwp3UpyrUNlNo9JJdWYsYbVaYbfbYbVaa0yMyuUySqVS02wMZV/cbnfD7LzT6ZQZ/V7KLjYzmxscHNTt0BrHWOTzebnLX68XJRQKday8/LKBRqM+dsLr9cLj8SCfzyOVSrHhkUIqlcL6+jpevnwJh8OBpaUlzM7OynYKoxmNeqF0Op2m/ezXuTBzgPmGXC6Hg4MDubGp3sz6A4E3ZY71BLyabb6JgIayuOq6n8lkkMlk5Igesw1aTdPkhqzFYkG5XEaxWKwxUqMMfb1NYBoz1+i16USwKoTAyckJ1tbWkEgkEAgEsLKycqXsjtHwyOfzYXFxsanhUalUkvPZ6537Kk6nE8FgEBMTExgbG7uza2qlUqmZGS2EkNVoJMavMjOaxAytzb/yK0H8/M+/i1jMz27tBtpZO3d3d/H7v//7AN6c9/l8HtVqFaFQCG+//XbXvFZoE4c+N+SbZLFY4HA4UKlUalzQ6e9UyM2dRDi5pLdzPW7Xx0a99nerHL1cLpvG/eqGrvEaoG5quFwujI2NIRgM6oT8bReQ3aZXW2WvgzsvzluB+l4alU6a9b1QYKX2tKsbARSIaJom+yPL5XLDLI6xT77V23UFvVcxm8tmszKrrvaidDKL8sUvBvD5z49d2a1dncd+dHSEV69e1YyPuusGU7lcDhsbG3j+/DmsVivm5+cxPz/f8AJLfcbGftZkMqnb7PJ6vTWi3WzkC3GV950DzNaoVCrI5/OyT7xQKNQIePqemdi1Wq1ys7KRkL+JTcpyuYx0Oo1IJIJoNIpkMlnXcZ6gdZ3+nqDAXN2QqFQq8rUx2+RQrydmNxL39V6baDSKtbU1RCIReDwerKys4MGDB5dei4yGRwMDA9Lw6CrrG4lCOv/Pz89rsnTAmznGoVAIExMTt3ZMT6OZwkNDQ/K6GAwGLzUzOpvN6mZFm/kHkOmf3+/He++9x5MuFNptCUokEtjb28Ph4SHK5XKNAztV5antdJcRpI3GWwUCAXg8HhmPplIpXSULcLEWqxuKdrtdVkVS7HZZs7l6qOf+ZXxsugkl8eLxOPb29nB8fIxqtSrjexrjasRoXmfMwPdbBe1NY9ycvOlW2W5yJXGuadojAIdCiIKmad8G4G0A/4MQIt7h42zKTZsamc39NX5tfE0p+w5AN5uXSsSDwSB8Pp90FS4Wiw1vjXA4HDL7rvbVN+unv+rCYTSbi0ajujEd9czmGvWi+Hw+GZSEQqEbyaIIIXB2doZwOIyzszM4nU7Mz8/jwYMHyGQyugx7oz52usjcpl2/y84qbwS5vZr1sxM08sV48f61XxvHj/3YZE+VZvbr2qkGkpeFAh0z8d5ONr5ZJv46svGFQkGubZFIRLcZSSZotOnaSMgDbwI5ykZ5vV5YLJa6r029WfLq62K1WmUZqs1mw/T0NGZnZ+HxeC615hgNjwYHB7G0tNRVwyM69ymDcn5+jkwmU1OZRtk2GuM0MDBQU63V6wghEIvF5DXPbALK6OgogsFgy6LNzCmb/lVfQ6fTWVOa7Pf7r1S1wWvnG87OzvDNb34TyWQSg4OD0gA1m83KqjyKG1ShRxvR6ka/UdSpExIow6hmda1WK0qlki5OJLNLoykbbXJ3y2yuHVr1sTG77nfy3M/lctjZ2Wk4/lY1r6vX/268BpiZ1xm/vq5JR/1IvYqQ22A4elVx/k0AHwUwDeCXAfz/AKwIIb63s4fZnJsW582gTGsjAV8v2LLb7fB4PFLMqScwXTipt5KEOs31bSbqm2V+mgl4M5HfLOgzjgM5Pz+XQXg9s7lGvSiBQECK9W6PbRNC4Pj4GOFwGOfn53C5XFhYWMDMzEzdEibqYyexThdgOv5O7pjfJOT6vL29jVKphIcPH+Lx48ddNcCrVCqyPFa9eKutKD/5k38R8Xig5m9v0tSoX9fOZDKJX/u1X5Mja+rdOtUzqGaUG4nUZtn4ehl49f+dCCyFEEilUrq1jQIG4GLj1efzyccrFovIZDLI5XJ1N1jpOah9nWQ+R+X06uuRy+XkRlajTVu73V43A2/si+9Fw6NisYjDw0McHx8jFouZZq6op5XEOgXvvVIWTwJIva7RtXBgYEDX3tUsU1mtVk1FeCqV0olwl8tVV4R3Gl4733B8fIxvfvObWF1dxcTERMPzhqry1Jvaq+1wOKSZWqFQ0P3M6OditVrlhp/6vtPmXztcxmyuG5CPjfG6r1YAdMLHJpvNYmtrC/v7+xBC4MGDB1caf6ua15mVz1+Hed1tppVW2X4xHL2qOP/PQoj3NU37vwLICyH+gaZp3xBCvNeNg21Er4vzVqhUKvIETaVSiEQiSCQSyGQyDUcANTppPR5Pw74XMq9r51avB5OwWq1tldzb7XZZMqQGtKrZHJVTDQ8PIxAIQNO0ur0oVy33M6Oe4dHU1NSl7p8qA1TBbtbHrmbYBwcHe9IYyWxW+erqKgKBWkF8XRSLRXnR/qEf+gEAvTUOqF/Xzkwmg93dXTkiq56hGmUEGt06JYiBN8ZvrYj4eoLV4XA0FfCXMXErl8syoCUzTTrPLRaLLqD1+/3I5/OIRqOIx+NIpVLI5/MNN1EpeCMn9HQ6Lcv9aCyaWQae3kP1ZrauUxZNCCF7v4eGhmqE/HW2T5lBWZTj42OcnJzIwIyOSf2MkkA1lsd2u0eU1n11vBl9Frxer84Zu16lkeqUrZaip9Np3funVmGoIrzT5ciN4LXzDXQOtbvmUWLn8PAQL1++RDKZrFtRZLVa4Xa7MTAwgJGREYyNjcHv919LVQutbfF4XJ5rbre7ppWxm1WCpVLJtDS+XR+bmxp/203zul4Xo90gm81KjdCtVtlucVVx/lUAPwngrwP4fiHEM03T1oQQqx0/0ibcBnHeiHQ6jePjYxwdHSESiciLsNvtlsEiBZ9GHA5H3XmPFCi3e+JSRqtdYd/oc2W323Wl90IIaVSijkSiTPPw8DBGRkYQDAbhdDpxfn5e1yiHTsSvfGUG/+AfjLfce1ytVqXhUSqVgtfrxdLSUlPDo8ug9rGrol3dFe+lPnaj63MwGMTq6ipGRkau/Vga0YvjgG7T2kmfWzWoMIr3XC5napBJ2dpGt04Hc82y8erP6olVo4Cv1ydvtkZQqaYxoKXHcrlcuskXg4ODsnKI/iYej9e0ShkzZiqN5v6SISkAucGRSqXw4sUL2VtJz418Bcw2C4yvS73e+E46MTeiUCjoZjVTOxVVItDnVn3NqMxXDd6vur6qAeLZ2Zms6nG73brMuLHCqFKp1BXh6jFTH67RqKsXKq947Wwd1YiP/BbMznPgTQsCxT7ValWWxxur8vx+vy5m6HZVXqVS0SVazs/PZUZb07Qao+BuZzHb8bHxeDwoFApIJpOwWCyYnp7G4uJiR93zr4qZeZ1RwBuvWxaLpWEC7y6Y1zVrlVU3Rnuhsuqq4vwxgD8L4LeFED+nadoMgD8mhPiJzh9qY267OFchUwSarU5lk06nUzq1er3empO4kXkdBcL1TuBOjPwRQtT0z7dSel9vl9j4HMj9no6beoAymQyy2Sw+/HAVv/RL349S6Y1Qq9d7TIZH4XAYmUwGAwMDcjTQdQvhUqlU4xR/k33sQgicnp5ibW0N8XgcAwMDWF1d7dmZnr04DuiurZ2U2VbFutnN7FynzUXK1NKapH7djd7yRtl4o7hvlo1vZnRntVplQE43NfMbCAR0Aa3P55MGU7u7u3j16hUqlUqNwRRl+sngiZ6PMXizWq0y805O6tVqFcPDw1hYWMD4+LhuPaFrSzPPgHqvSyvmdp2srAD0hqOqSHa5XPD5fHJDOJ1O63xRLBaLaXlsPTOnfD6ve5xmU0jIbNBsXJWKz+eryYJfR7b/KvDaWYsQArlcrub9NhrxEdSaQeaHQ0NDDdc6ymY36mOnNslGfeydJJ/P1xgF03N1OBw12fXrqO6gc53aSl69elWT3CIfG6Nz/GUSWtcFebo0Eu+NzOvqCfjbZl7XzVZZNbFYKpXkJlk7sFv7LSCfz0uhfnJyIgOiwcFBjI2NyREPFOg0Mq9r1PdSz3GS/u1W3wstNmbl9dRTRz37jcbX/f2//zkkEoM13x8cTOBv/a1/Dp/PB7fbjUwmg2g0imKxCJ/Ph9nZWUxOTvbUKDvqtTZegLvdx35+fo61tTWcnZ3B4/Hg8ePHePjwYc8v2uzWXp92e86/8pWv1LSlqP8av9+KDwVBoq/Rzcybg8o5r6MP3gwax1ZPvLdSOm4spade70KhgGw2q8v0UCk7bWgEg0G89dZbGB4ebqldxu/3y4y5xWJBNputMes0Qhuf9TZxzV5fyrS3cjPDrNXArDe+XYGqlpdTcKZmUUZGRuDz+WC1WnWGVOpx2u12BAIB2btLGTd6De12O0ZGRmSQ5/F45PVKFWbGfmHjuCoy6epH01BeO99AbXGpVKpmegMAuS7Y7XaEQiGMjY11tD+2WR87lXurgr1bVXlGs7loNKozd70OszngIp4Jh8M4OjqCzWbD3NwcZmZmUCwWG/rY2O120w2762wZuQqqeZ1Z/N/MvK5eFVYvVOtcFnVsmzoZA4DOpFUdPUhjs81uqoYKhUL41m/91raO56qZ8+8D8N8CmAJgw0VjpxBCXM4t4QrcZXGuIoRAPB6XQp1cO8m9kMR6o96ZZuZ1rfa9GE/k6yhnLBQKNf2dtMh88MHfhFnvMSDwwQc/3tL99/Iou8v2sbeyI5pMJrGxsYGXL1/C6XRiaWkJMzMzfRkwtkuXsj99uXam02msr6/rzCeNLsBm0Dxdo2hv9rXdbq8JykjwNRLwxnJl4Pr74M2g6qF6o+ZayTrT3HQjFFzT/FfVb6NZYE4MDAxgamoKo6OjsFqtpoZF9LVxI1T1P6l3DagXvFWrVdPXwyw7bxab2Gy2lkR8vQowyqKQWK+XRfH7/UilUjg+PkYkEjF1jaeNbMqulctl+dqpr1Ujp+zbAq+dbzg4OEA4HAZwEafQdZnEOJXVdrNH3EipVJLxgvovnWNWq7VGsHerKq9UKtUYBdMa2GmzuUgkgs3NTZyensLhcGBubg6PHj1qKK5VHxv1X7Xai/r9jf3s/RgnqeZ19croWzGvM14Pun19VTPWZrdGgpp+1or+pWksasxivNlsNmno3W6751XF+S6APwLgibjhVDuLc3NKpRJOT0+lWKfeH6/XK4V6KBRqe8dLNa+rdwKbBW+Nel6amdddBnJPjsVi+FN/6tOIRms3JYaGkvjLf/mnUKlU5K4YHbvL5ZI7Zk6nE5VK5VKj7IxZxUZu950cZQdcjAExCvZ6fex0IaYd82w2i83NTezv78Nms2FhYQFzc3N9vUPaLl0KMPty7UylUvjqV79qaupotVphsVh0n1kqpTYT8/R1sxFj6oZYPTFv/L/NZpMu5mbCndYoM5F7E33wZhgFayQSweHhIbLZLKxWK1wul/ydRoahFBz4fD7pFA9cZPJOTk4AQJ7vaj+z1WqtqbyhQJNK/uuVTtYzCqRjqXcNaBa8URVVKyLerIrKrC++nkN9PB7H2dmZbpNbhaqT1BYqs4wT4XA44PP5MDQ0hJGREQwODvaFa/BV4LXzDU+fPsU3v/lNWK1WXUXF4OBgT30GaPytsZWuUR97N7LGVJ6vinXVbI5GDg8NDUlvjkbrMrXjhcNhRCIROf720aNHl4471RYFVbRTWxDh8/lqTOhuyiuoU3TavI4quTRNu7TALpfLLQnreiK6kcDWNE1qiWg0qhvbRudzJ8e2XVWcfxnAHxJC1LfuviZYnDeHMqsk1M/OzmSfIjl7jo2NSTf0qz5WsVhsKN7VTAKhmtfVO4Eve2xmvcd2exHf//2/hLffXgNwEbypQVMul8P5+bkM9GiO7ujoqK4XhYLVVpzuOz3Kzji3vhXhoO6Y003tY7darbDb7XJ3f3JyEqurqz1ljHJddCnA7Mu1M5VK4cmTJ20bPTb6DNtsNinqqWeaRL1R0BvPsUaPS+dPPRFvs9mk0KQNOSojV0Vfsz74erdObWAlk0msra3h6OgITqcTy8vLmJmZkSKWsvF0vMlkErFYTI4WarZxSM+HyunpNVFL6tVAk8R6s3YZKvVvlHkxO7ZG2XcqnWx2DVBfk0YCPp/P1/U0oYBdXaPrme5ROTq9Ln6/Hz6fT5bvqsG7ujFK/cRm4556IXAXQuAXf9GPn/7pezg5cfRES1C/rp35fB6ZTAZDQ0N9Vx1h7GOn2OG6+9gvYzYHQDf+1u12y/G33dpkVScq0LlPk5cIGnFnFO392NtN661RLNP6b1xvSUg3mvpUj3oiuhWhTUmETry+9QxHHQ6HzlzO6/WiVCq1bTJ3VXH+MVyUF/2vAGTtrBDi/9XWUXQAFuft08hYjoT66Oho3ZEuV4WyDY3K5+v1vVzWvO7f/BsPPv/5MUQiHgQCCfzRP/p1/Kk/dTHv12hYQguH0+mE3+/X9RUKIeTYNjoRLzO2rRdG2dGNWiK2t7elS7PRYOo2zGNvly4FmLdm7VSFXCsGj60YParCul51CV2I1XOdAgSzDL36dTOTSTqH6IJusVh0YpjEvPpYRqi82WhipxrsNBJhmUwGm5ubeP78OWw2GxYXFzE3N9d2lqdSqeDw8BA7Ozu6mesEjUGj50eZ6UbZePF6LBThcFzMXVbL6lvJClPJdz3jIrPqBjKva3QNaGcdLpfLODk5watXrxCNRk3dsRthXCPJPT0YDCIYDMr3nI6pXC6blseq7UcOh8N03FM7a229gLlR9sn4va9/fbFlE1UzeO283ZhNl1F9K66jj50SKBS3qckUdYPN6XRicXERs7OzN1ZmXi6X5Xx21Tle3eRwOBw1m3XtnvvtQImlZiXfzTLWzdA0zVQok1imTXnaJFdjCSO9aF6XzWZxfHyMV69e4fz8XBcTeDwefM/3fE9b93dVcf4lAGkATwDIK6gQ4sfaOooOcNcXyU6Qy+V0JfDNjOWuA6N5nVnw1op5ndVqRTQaxfHxMSqVCiYnJ7G0tFR3Fjc5IauCXb3oeL1e2O12lEoluRtqHNvWzR1yGgfVjhhqlmlUe1mp1J0C7HK5rKuEUBfMy/ax9wtdCjDv/NppzI63+nluZPqo9rY3uxkzz/Wy88bvN3p8ALqAg+5fbZVRIUd1NUtst9txfn6Ok5MTaJqG2dlZLC0tXWq8i5nh0dzcHAAgGo3KEj3VPdlut2NoaEie/+oINTK7U1sEGm100CaH2+2WpjrGEvJGnhzi9RikRqWTZgaBZuZ1atB2fn4uR26a9bFTRlsVxqrxmzELn81mkU6n65bTA/rNGrObxWJBsViUGTcK3tXNCTLIU/0YaH3uVMCsZp7+0l/6YUQi3pq/u+ExlHd+7exlbrqPvVwuY3d3F0+fPkU+n6+pdvH7/QgGg7IcvlNlyFeBkj5G0a6ew7TpZxzzaFYC3s6mXCvrBLVHtVL+Xe97l81Yqy1D9a4D121eRyX9xs+5qhHIB0UIAZ/Ph0996lNtPcZVxfmNzJY0gxfJztIJY7nrOk6jed1l+l5aMa8zms3FYjEZmFIQSj2gwJteFMqsd6Jd4CqQCDFm4U9OTnB0dCRLb6h0vdVRdmaZNOqJ9Xq9MrgdHByUWdBOlRZdB10KMHntvCSNfB8aVZs0uqa1Y/RIvfVqK0ujLH2rvhSNUI+P1i6v1yv7yL1ery64PTs7QzgcbtnwiLw5yETz/PwcyWRS/tzn8+lmr6vuyWpvfCaTkSX1mUymqXgH3mxQGN3q642cM1KpVEyz7ul0GplMpmmlEfWhq+PqBgcHL91DW61WEY1GZSZeddnXNE33unWqZVo1J1Kvbc2C6Gbr8Ntvr0CI2p9rmsCHH643PS5eOxngevrYq9Uqnj9/jq2tLTn+dmlpCZOTkyiVSjJ2M5rN2Wy2GrO5blWLGo+3mZhWR5/R9aTZ5rARWhtaLfs2+3mvG9qZ+Z+0al7XyAOFElbpdLpms8lotGxs97rquL16a2erdXO/rGnaZ4QQX2rnQTVN+24AnwdgBfBPhRB/z/DzPw3g/wHg5etv/bQQ4p+28xjM1aCS7aGhISwtLdUYyx0dHQHQG8uNjo5e+8xVtcx9eHhYfj+dTmNrawuJRAKapmFiYgLj4+P48pfv4V/8i0VEIh4MD6fxXd/1G3j8+BttmddNTk5iYWEBVqsVqVRKt+Aby0YjkQiOj48BXGSkyDRCnXN7XahZEo/Hg5OTE+zs7CAejyMQCGBlZcV0Vjn5BzS7kQN1oVBAuVxGJpNBJpPB6elp3WNxOp0NTfGMpnmXrURQS7e67RjaIrx2XhJ1bFqrUPa61SoT2tRrJqjrld77/X7TMnyjqFc3yE5PT1GpVOQ5oWZEyuWyLAFvhJqtpz7ooaEhCCHw6tUreDyemr576vWnTbSZmRkAqAloT05O8OLFC/keGANaul5MTk7qjokC81gshlgsJv0taM1VHezJSLSeoLfb7TVCnjJjVHWRzWaRSqVMha/FYpHi3+Fw6JzUs9msvK4BF8Ebva/kT2CsiFCDavq6USaKPofG50QBsSrcqbyzXC7XrbpQP1M0XpNGUqk9rbTZQMamrTI+XsLRUa1AGh9vvOHSZdpeO3ndvFnIy2dwcFB+z6yP/fT0VK4xgL6PvZ7oqVQq2N/fx/b2NrLZLAYHB/HJT34S9+/fl7/ncDhknKo+tppo2d7erjGbUzfrVIGqCuvLZqxbEdmqsCYneIqx1fJv43QPms9Or5vaz34bsdvt8nma0cy8Tt2sUTFWXZDeUDeqr7u1s9XMeQqAF0ARAK3WQjQYaaFpmhXANoDvBHAI4GsAfkQIsaH8zp8G8FEhxJ9v9YB5B/P6uE5juXZJJpMIh8M4ODiAxWLBzMwMFhYW4PF4TA3hXK4q/tbfOsR3fudZ3ex7O+Z1FFTncjkp3NV+ImPp+OjoqHTMvy6zNeOs8pWVFTx48KDj7xWVwlJQTnN9jX2kaiayUqk0zCZZrVbYbDZpIkY3NWCm+6EA13gh/K7v+q62Kj66lP3htbMPUEVfOy0krRg90gWdBKnb7ca9e/ekkDKa5qn+FLlcDplMRq5PqVSqxritVcj8kTbCzDbLKECsVCrIZDK6LBg9phq0UEBbb7PWGJhTcK6ulW63W7rL02NTgEUbgK08X6PIpsenHkeqJiqVSm2/fpqmyfVIzVyrvY+qPwL9S5uWZmPbzAxHjeZ29YzuWqnOoEoBKpMdHBxEMBisqb4AzE1Ue6DnvK21s1vrJsBrZzdo1sfucDhkKTxtbBaLRQSDQSwtLWFsbKxhLGPc9KSvqbScKm6ME4cozmi14oXW1XYcwY23dpIIpVKpxnwykUjo1gSn02naz37dSbWbhsS6+jmLxWK6zW/aGKGY3ez6QImCRuXzl606uFLmXAjhv8RjfhzArhBiDwA0TfufAfwggI2Gf8X0DFSC5Pf7MTc3V2Mst7a2hrW1tWszlgOAeDyOcDiMly9fwmq1YmFhAfPz87rH/Pznx3RBBgDk8xb81E+N4/u+Lyn7rM0wM6+jwDiTySASidRke6hck3rPKbgmw6FCoYCDgwMcHBwAuCi1Hxsbw/j4OEKh0KV6TBuRTCaxvr6OV69ewel04p133sHs7GzXssi0cNlsNgwODsqLYLFYRCaTQSqVQjqdlsGluvCpF1f1Qki9u2Z9po2wWCwyiG6lx6rb8NrZH6gTE9qhkdFjoVCQjsPlclkGAfl8Hnt7e3Xv02j0aLfbUS6XZYmdw+HA5OQkJiYm4HK55Gc9l8vJgJPWLLXChc4pVRi3AvX3U/BRqVRwcnKCly9fyt8xCkBqbaGsvs/nw+TkpAyYk8kkTk5OEIvFkE6nEY1G6wpm1d2/EZR9NpvrTvdjtVrl5AvVuZ6CLK/XKzPtahuVsYy+HfO6e/fuYXZ2FpqmIRaLSeffvb097O7umhqONttUJId8o2jPZDJyrVVLQCORSM1rQdUJXq8XDx748Gf/7Dz+5b9cxdmZq2239m5wibWzJ9ZNmqQwMjLS82XCN4nL5cL4+DjGx8fl96iPPRaLIRKJIBKJ6CrytNdjX9fX17G9vS0rXOjcVzPWrWzAkbAmjwraxCuV3szAttlssm2PXOJpI7FdYd0J7Ha7NKFUod5oVbg/e/ZMt/FAz8PYz94DFYZXRi1LV8W4mW/S9PR03QoNqiCtVz5/fHxseg11OBwYHx/Hxz72sY48n5a3UTRN+wEA3/r6v78uhPi3Tf5kAsCB8v9DAJ8w+b0/qmnat+Jix/MvCSEOTH7n0pydnXVlNuNdxGq1ynLtt956S2csd3x8LMuUumEsd35+js3NTRwfH8Nms2FpaQlzc3Omwvb42Lz0pN73VSwWC7xerxzNYQYFPY3MK4yBpJrxzefzeP78OZ4/fw7g4iIVCoUwOTl5qVn0hHFW+ePHj1uaVV6vdKudEq5WSrdIdFAWnDJaxhJRuhhSqebQ0JA8hzVNq+nvNQoi2h3vldKuflw78/k8vvKVr8jz/TITCu4C6jxtlUgkgrW1NUSjUXi9Xrz//vuYnJyU64DRE6LeZ9lMuBaLRezt7dUIfOMoOa/Xi6GhISnwVadc1RiP1qx6zu1qFZDqOaEKZlr7qLWnk6hrKZmtUWn+wMCAFNtqxppeP7MMNBm9xWKxhuZ9ak+82+3G0NCQ/L7FYpGbh0YBf3R01NS8LhAIYGxsDJVKBdlsFolEAltbW9ja2pKGoyTWzQxHqR2rWRUWXW/I4ZoyhpR9LxaL0nNgcHAHf+7P/TIsFgt+6Id+qCe8QtpcO2983QSAly9f4vd///dhsVh0c5F7bc55N1Cv6ZeNJxoZ2orX88aNFY4ksp1Op/TmoI3LRlnserEpteiorYxqgmVgYEBXPdQLZnO0VlFJP/Cmcsk4MeL4+Fi+xlQabxTtV+2l7ia0iaP2hicSCXmdslgsGBgYwP3793U94q3E1pqmycqyoaEh09+pZ17XTgteM1oS55qm/T0AHwPwP73+1uc0TfuDQoi/esXH/yUAPyeEKGia9n8C8C8AfIfJ4/8ZAH8GAO7du9fynZfLZfzWb/0WqtUqhoeHdYHmbdgpumncbjempqYwNTVVYyy3vb2Nra2tKxvLGQ2PVlZWMDs723Czpdv9c632vZhl39PpdI3rZD6f1y38FHgFg0H5mlEPqXGxpPLT7e1tHBwcQAiB8fFxjI6OAgB2dnaaXhzb2WGmGwX/7ZiONDrnVOdXur18+RKHh4fy8Y2j3QKBQM8Lxn5dOwuFAiwWizyPrVar/Dz2gulhr5JIJLC+vo6joyO4XC689957mJ6ervnsU3WHmbiqZ3g0MTHR1vSGdDrdktEj9VirAp6CbLUn+rpRvTOsVqvcVEin00ilUjJz7/F45LpA7sytehU0KiOnm3HOswo59dItGAxiYmJCrtVqyw1dD1KpFE5OTkz9T+jv4vE4zs7OsLGxAYvFIuOXe/futXXuUe/kxMQEJiYmdD+j3nU1yCXX+F44t7u0dra0br5+/EutndPT0/B6vbKdYW1tDcBFZo1i0NHR0YYJgJuA2sSu0l+tZpwbYYwbqP0ik8nITGcgEMDExITs9TVuwGWz2ZqyePosA7V97F6vt2XBqfbOz87OArjYFFW9OV69eoX9/X35fG7CbK4ZauWSev7Tua8K9kgkImNQ4OI5qVMsKOa9zkSnWVl6PB7XVUfROMpHjx7J95pGIneLVpJ4V6XVnvMPAbwrhKi+/r8VwDeEEG83+JtvAfCBEOK7Xv//rwKAEOK/q/P7VgDnQghzxfOadnp/qtWqNLg5PT1FLBaDEAJWq1XuSo+OjvbErtdtw2gsRz0erRjLCSFwenqKcDiMSCQCp9OJ+fl5PHr0qKWemav2z10HlH2n3dlYLIZUKtX04kYlngBa7ptUL2jt9kI122HuJkbnV1qgO+n8qtKlvsm+XDuJUqmESCQi11AyoSIfBbpdl49Cr5LJZLCxsYEXL15celY5GR5tbW0hl8thcHAQS0tLGB0dNR2L02oQ3ap7fL0Wk2a/36oTebPSdBrDRhuRdOxqpQw9p1Yeiyp1VFdzY7uA8d96cQC1J9UT8OrPzDYyKBujGtypm61qNYNqaFTvuVGGkEbhqSPkrrpWl8vltntTe2Ht7Na6CVyt5zyXy+Hs7EyuobTRQ7EQGcdeRfTUE9btiuxWzuWr9FbTz9TzLJfLYXt7W5ZgNxt/24hW+9jVeMHv918q/idPJqNRsJnZXDAY7ItkAlXSGPvZ1TXX5XKZ9rNf9blVq1W5WajGe2Zl6bdpnO9V3doBYBDA+euvWzlrvgZgXtO0GVw4Y/5xAH9C/QVN0+4JIcg29QcAbLZxPE2hsqKRkRGsrKxIwUg3KsFzuVy6QLOTpQl3FbvdLnfrjcZyz58/x97eXo2x3MDAAI6PjxEOhxGLxeB2u/HOO+9gZmamrROfBPjnPz+G42N7x/vnjBfCdneW29lhNnvsRn9HZZ/U70hZdwpOe7lUyUgrzq/xeLyu8+vbb7/dK9mJQfTZ2knY7Xbcu3dPZo7UVpbT01O50+7z+XSB5nW6mt4k+XweW1tbssR8YWEBCwsLcDqdNS7f9dYHGt1IWUvqi85kMvjqV796qYDZ5XLB7/dfOmAuFovSPCeRSMhedjVQEq9HbqoGSuVyuWFJaiOoXJUyyHQeB4NB3fpFPeHG2fTkb0EmT+ToTi69rWAm2s3EvLFlQHV3r5eNVwV8K9n4YDCou2/yFVDv09hLDqDu2FB17m+ja0CPmUYNovW1syfWzXQ6jUQiofvsTExM4OHDh3KUIa2fL168kGsHtXBRH2w7WexG552K8bynz0Oz2dX11omrkMlksLW1hefPn0MIgYcPH2JxcRF+/2VsWi5o1Meuir7d3V2Z3FDnsav/Nos5VU+mqakpABcbrGp2PRqNyuo/imfU7LrH4+mpeMzhcEjNRFD22jib/enTp7oEkc/nM+1nN3t+aqWksWoHuHitAoEA7t+/r3OivytxBdC6OP/vAHxD07QvA9Bw0QP0o43+QAhR1jTtzwP4FVyMtfhnQoh1TdN+HMDvCSF+EcBfeN1TVMbFAvynL/c0WkMVjMBFn5xZz7Tf75eBpuqkylyOVo3lKLPidDrx1ltv4dGjR5fejfvsZxOmYvwmd5gvGzALIZBIJLC/v49Xr17VZFRobBBdaMksSJ3Prr4XxuBNDdzoPnoVo8EUQQGvutj3SJB5K9ZOwtjKQsZep6en2N/fx9OnT6XBFa2hw8PDfddGpAprs/Ugn8/j9PQU5+fnEELA7XbD5XLh5OQEh4eHbQXMhNVqxcDAgBSgrWakrhIwk2kdlTjSpAVVONKorvHxcdmb6Pf74fV6a97XarWKWCwmp3uofd2UxSbfCSrNLxQKuhJv1eysnqimaQ5k6kZr2MjICKanp+H3++F0OqWRHq0LtAmi9lvS9A0yvVN9LVodtUcbCqqgV7+mbJPx52QoaCbg8/m87A+vl41XTfroOZEBYDKZNP0Mknldo7m/PZLha2vt7JV18+DgABsbtR50VPWmnququFFLss2gKQRGYd1KLGHcQLpJUqkUtra28OLFC2iahqmpKSwuLnZtI91ut9cITsrSqpv8BwcHcqNErcpTW+maVTdYrdaax8rlcrrs+rNnz7C7uwvgogLNOKay1+Ivihndbrdu06NarZr2s7969Ur3tzRulHw6qL2HoGoGKksfHBy8NSZ1V6GlsnbgYscRF/0/APC7QojOO7+0QLdGWpAAokAzEonI3qtgMCiz6mbmLMzlqFarODw8xMbGBjKZDGw2m24+rNFYjrIHzQR0N3aY2y3h6uQOsxBCbmIkEgnZX5PNZnFycqKbJUy43W6MjIwgGAzKSpB68x+Nrwf1wtbLvPTI/PCO043STOD2r51EpVLB+fm53PCMxWIALj5PZIw0NjZ26TLCVmmWsW71Z62gmse0ujYAwOHhIZ4/f45SqYTx8XEsLS3VuO928vWg8UEkvulf1bjMZrPpxDf1GjbK7lBV1NnZmbzRfXq9Xt24sEYVacIwyi6VSsmsPWXCL4OmaXKCg91ul+8VjaxTXe5pDTULzAOBACwWS02ZvVnZvfHrZv36tMlQT9iTsKLXiVz3jaZ3VC1Q73VQZ6zT/ZDLtYrVasUP/uAPtnWO8tr5hp2dHXz44Ye675EwppvR16EVaJPH5/PVtGioN/p894IQVyHTQxp/Ozs7i/n5+Z5piVLN01TRrm5UUjWPKtjbrUY0M5ujdjGgN83mWoE2PM7Pz3F2diZ7w+uZjPp8PllJcBcz40S9tbMdca66Zv6vQohf6uDxtcx1zZuk7C4FmvF4HAB0Bmejo6N1yzYYPWrAXCgUZHBKrtqhUAhut1uOwslkMnUzBo0gE6HL9EOpvdm98p5Go1Gsra0hEonA6/Xi8ePHNbPK6aLy6tUrvHr1CvF4vEasW61WOa6Hdmip9LaeaKevzbJGah+nmYA3M6/rdboYYN6ptZMoFou6XksycaE2IrPRiyTSrroB1wzVbKyVDTir1Yrz83Ps7+8jn89jZGQEq6urbQnqfD6PnZ0d7O3toVwu4/79+1haWqrrCNsu5GRszIInk0ndZoPdbtcJcPq31SAzm83KcWBnZ2dSONP7GgqFEAqFOpoJoyoNNaAll3EAcv2hkm3VDZ8EaDtVDGb98Xa7HW63W44jGhoa0s1nb+T83EzA1/u6kXCjz7BxRj1tcpdKb0zoVNFOx1nvvu12O77/+7+/V8R5362dtGlC7we1fdSD3iszU0cSi7RB1Y6/Qz3x3kjUd6NiIhaLIRwO49WrV7DZbFKU94JhWitQSbcq2I197KpYHxwcbHsDulgs6ta28/NzuWb3otlcq2Xp6uam2+2WkynUvnb1ek2TLNTyeL/f3yuVPF3hSuLcxDXzRwB8TQjx1zp6lC1w3QEmUSgUdIEmlWV4PB5dv3qnZ1b3AjcZMFutVhloqS7nNOaAMnIUIPVK6dZVSSaTWFtbw9HREZxOJ5aXlzEzM9NSxlotNz46OsL5+blpIOb1ehEMBuWCT9khI5RdUkW70YneeP/kON8o+94jZeeSLpka3Zm1UzW1MlsTjIGmeiEnMdRKFonmhTfbZGv0/VbXCSEEjo+Psba2hmQyicHBQayurmJ0dLTldcZoePTgwQMsLi5eyvCIjolcv1UBTmXMhMPhqMmC+/3+tg108vm8zIqrmywOh0NmxkOh0LVvVJdKJWmmGY1GcX5+LjcSaTNSDWgdDofsa6f+dHWMXCvO9o0gAzrKzrciiGgzwQzKbjcS8fV+1s7zIKd+taz/27/929t67rx2dh9jdefZ2ZkU6yRkqNS9ntgvFosNx55SixxVmdBntNnn2SxuiEajCIfDOD4+ht1ux9zcHB49enQrYmS1XYZuqjilPvbLTpdpxWzOGLt1Q8DShq8qwukaTjidzpqe/VbL0un+jaXxausRtTIaneO9Xu+tiPWvKs7bdhzuFr2ySGYyGZlVPzs7kxdDml9KpXw3veOjCuvLlHa2KqwbBcwWiwXpdBqxWAzlchk+nw9TU1PSOKrVgNloLHd2doZKpVJjLNfPY54ymQw2Nzfx/Plz2Gw2LCwsYH5+/kpCtlqtSuO0k5MTRKNR01nFFoulJqBtpeRMCCE3T8wEvNlcUgDS9Kle7/t1u3D2guNwN2k3+xOJRNpaO1qZda+uEzQ/mwJJwuv1IhAIyKDD2H99XWuqOqvc5/NhZWUFExMTLX8mr2p4RNcZYym6sY3F6XTWFeGXgSoe6EYZaqoaI0Hea+WW9HqpAW08Hq9xTx4aGkIwGMTg4GDNZ4n63WnNqndrFjcZy5cb/Z6a/SZx30zUt3KtVIW6Uczn83kkk0lZoWbcFPvhH/7htlqXeO28fi5b3UkbPupNHc9I/xp/p5kRrbrZRC0WNBlpfHxcVtTRZ7zRxlQ/YtbHrjqdX7aPnSiXy4jH47r1jeKqTpjNGY+fxLi60Uel6KoY70acVq1WpbGiKtrVTQHyaDGa0Dmdzr76XHVCnH+bEOL89f+HAfx6PyySz54905lwdONrALLXQg0ISOwEg0GMjIxI0Wg0BjH7WlPcb+sFxK0I7HaEdavGImY/NwuYS6USnj59ip2dHRSLRYRCISwtLSEUCnXk5DEay5GZitPplEJ9bGysL3ZqC4UCwuGwNCR59OgRFhcXu3Lsam8wmVoRNptNZy7kcrlqDEsus1FQrVZNs+7q18bPqpl5nZnzcKfoYoDZd2tnLBbDr/3ar+m+RyZc7WSrzTLWZlQqFUQiEfmZpEDTbrfXBJrdJpFIYG1tDcfHx3C5XFheXjadVV6Pdg2PyFjHmAVPpVI60USjxowl6VddI8rlMiKRiMyM02tPs+0pMz44ONh3XhOVSqUmoKWqN03TagLaVrIx1MOvtgPlcjkkk0lp4FYvc632v5PIpvtUZ6K3kuFstVSZjMRIkKsZMPU4XS6XFP3f+Z3f2SvivO/WzpuiXnWn2+2WbUShUOhSm3bUllgvG0+eFiTmyOuh2YbtZUvv+0V8mfWxJxIJXbLC4/HUlMW32mJkNJtTDTgbmc0Vi0Wdgz2JX2NZulGI33S1IxldGkW72rZDbQaqaCczzl7kquL8RwD8PQA610whxLWvVu0ukv/qX/2rLh5Nb1FP5BtvdNG1WCyypLTe39L/G92/8We060WlKW63u2bB6cYmCZ24dKNFSl38BgYG5PNv9flc9rVp5W8rlQp2d3exs7ODcrmMqakpPH78+FpNUig4p1I5Cs417cLsihyF6Xs08oXKqjpVzloqlepm3y9jXtfuRkKXAsy+XDvL5TJSqVRNBcx1USgUdGMvjW1EFGh2cvNKnVVut9uxuLiIR48etfwZUg2PrFYrZmZmsLCwII3Q1HVRFeHpdFonwj0ej5xuoWbCrzIHWYU2NSkzTo7zFosFw8PDUoz3o8t+K5ALfDQalWOPVEd5NaAdHh6+VFBHmWt6HOpTzeVyTQUL9baTs71aaULrrCrijSKplZiOStnJO4R650kE0ejEVuG1s/dIp9O6NVSt7qQ2zJGRkSsJLiEEjo6OdONvFxcXMT09DavVWmP0aJaRN7s1Siq1ujFlVm3SK3Srj53M5qjN5/z8XHe/RtNlQF+WTiK839zS1Y1H9V/1eZIOMPaz3/Tz7IQhXN+5ZgIX5jX0HNUSM+P31P+rLqaUfTa70e+p/9KtVQdOTdNkRoouwOrNarXKi7Lq+GncPTQ+h2593ej/VKJKFwHKEpA7bDuPd5e5jMivt1lwmftS30fjmCP63KnZdbpYUq+ly+WSF/x2n0OjTQ8Auh5Ms+BUvah/x3d8R1tmW+w43JtQO4saaNL7TBMdRkdHEQwGLxWA5fN5WbWiaRrm5uawuLjYshg2Gh7NzMxgfHwchUKhRoSr65vH45HimwIFGrXYSWi8GW2+RaNROYmETCJDoRCCwSB+5VeC+Pznx3B8bMf4eAmf+9yJ6UjK2wR5dJBYj0ajOvdkv9+PYDAoNySvWs6vBuaxWAyxWEw3Woium+pabEQdAUfXVypXV1tE7PaLkVtURkznh5kgImw2G37wB3+wrefEa2dvI4SQa8Dp6alcAywWi6yOGRsbw+DgYEufbSEEDg8PEQ6HkUwm4fV6sbi4iKmpqY6IHUoIqJtOrYj6RnE3eUI0ysqb9ddfV5be2MdOmW21j31gYEAn2NVecxLmRqM2df2wWq2oVqvyOkRmc2r/ej9UmraC2hZGr0sikdBdhzXtotXAKNqvc/78pcS5pmnvN7pTIcR/7sCxtUU7i6QQQgZy7ZiYtSKsaee5nfJOujgWCgXEYjGZuaBAc2hoSC6Sw8PDPbXT14hOGx4BjTdPLvN1qVRCNBqVO4o0HsPtdsuSH9UQrdUNinZ/h/q/T05OUCqVZCbQ4/FcepOkld9p9Wdm36MsDW1CqWsGiWfjxooqqil4ND6G+m83+M7v/E4MDAy0/PudDDD7fe3sZVSxSYGmeJ35VUe2NfOeKJVK2NnZwc7ODiqVCqanp7G8vNxw5JfK6ekpNjY2EI1GpQEiBQQqPp9PlwUfGBiAz+frWomgEALxeFyWqUejUXmNoaxZKBTCyMiIbiPgi18M4IMPJpDPvwmuXa4qPvjg5a0X6EYo663eVLM5tVQ0GAxe2T25mcGUxWKRZefq5mmT+A0ul0vOKK53U8U9bXAODg62dfy8dvYXarXc6empbAlUTR7HxsZqWnGq1SoODg4QDoeRTqfh9/uxtLSEycnJG89AUqzSiohX++yb9dMbPSFaKb3v1MSfVvrAaQ03inCjWzqVpdNmdz2zOa/Xq6sc6sd2pkZUKhXTfnZ1g9Rms9X0sg8MDNTduPgv/8sp/M7vvGm5++Qn0/gn/+R5S8dzWXH+ZeW/6i9qAIQQ4jtaevQO0q44/4Vf+IWa76sjs9rpq1Z/1qkPa7Varen/FULAarXqAs1eM98Brm54dFPQ4nSdxnJCXLg+r6+vy1nlq6urGBsb67n3tREkPtRRStTvQ+W45BYbj8flz6xWq6lhCd0n/XvZzQazr30+X1sbXB0OMPt67ewnyuWy/Dyenp5KAzOn06kLNOnzVqlUsLe3h3A4jGKxiImJCaysrNRdt0qlki4DHolEdBkNwmxGeLufwcsghEAqlZLno2pQ6vf7dbPGG2VFPvOZBRwd1VYL3LtXxJe+tN214+8HaN1rZjanBrSXfd8LhQISiQRisRgikUjNrGUVl8uFQCCAYDAoWx9ouobZzayk3ul01gj2xcXFtq5LvHb2N/l8XleZRD3RXq9Xbubl83ns7u4im80iEAhgaWmpLYPMXkXdmGrn1mgigqa1P8qOvCGMx0bjx0icx2IxXc+62WhEaiVttY9dNZujCqJOms31A6VSSZdhp+u9WlXkcrlqRPtf+Svv4Hd/14+L5YkQLQv0q/acuwH8OQCfwsVi+ZsA/nshhPkVo4u0u0hGo1FZMk7iupc/VKVSSRdoUnmd0+nUzQZuNbvTDdo1POp1VGO54+NjXXDfCWM546zylZUVTE5O9vTnsFWoJFQVBpSl8/v9coQRGTPF43F5EVGrFsg9+SYNR7rUN9m3a2e/ksvldIEmCRuv1wuPx4NEIiENKldXVzE8PAzgotTX6IpO47aMWCwWhEIhPHjwQM67vq7sAglF9ZyjTTCv1yvL1EOhUFvXibffXoEQtWuSpgl8+OF6x47/tnBVszl6H41lqGrgTeJbzX5ZLJamBlNq2SsF5gBk6Xs2m5Wu9Oo4Obqf7//+72/rteC18/agbvaRuZxaWj0+Po7Z2dlLtxHdFoyl963emhk9UuugEKKmUtHlcsHr9crydtqUs1gsHe9jz2azujGV8Xi8JbO524QQom4/O50TH3zwN6EX5vKv8eRJ8+vmVcX5zwNI4s28yT8BICCE+GNN/7jD3KVFErg4QdRAk4Iwv98vTT1oJFm3SSQSCIfDODw8NDU8ui3kcjmZVT89PZU7Z9TfOjY2hmAw2DQYTyQSWF9fv9Ss8n6FyvbVklpa0Gkuvcfjkb93fn4uy4DJbE5d9K9zdnKXAkxeO28Q2jza2dnBy5cvdZ4E1IsrhJCjfwiLxSIz35qmyc+p0fDoushms7pZ4ySiXC6XvAaEQqErbZBy5vzqqO7JRrM56v+2Wq0ol8vIZDK6QN04ZonGFLVCJwPzSqXS9meb187bRblcxt7eHra3t1EoFGSWMJPJIBaL9U11Zy9SqVRkFU4sFkMqlZJmkSpUGk/l+o20Go2yM8vEU1tioVBANptFJpNpuY9dpVqtIpFI6DYj1TVmYGAAw8PDsn+9FQO7foWqb5PJJL77uz+DbojzVtNUq0KIx8r/v6xp2kaLf8tcAY/Hg+npaUxPT0MIgUQiIYX6/v4+nj59Ck3TpMvu2NgYhoaGOioAjYZHNHv7qn12vYrb7da95rFYTIr17e1tbG1t6WaJjo2N6UY8GWeVr6ysYG5u7sbHUFwH5Pg8PDyMxcVFObaNRMXu7q7sDx4eHsbU1BQCgYDsk41Go3jx4oUcKWe322vckzvlWn1N8Np5AwhxMe7q8PAQu7u7yGQysFqtsFqtUhDRFADgjTFMMBjExMQEQqEQXr16pTM8ev/99ztmeNSMfD6vE+O0gaX2hIZCoY5uXn3rt6bwhS8Mw1ie963fmqr3J4wBt9ste/nJHJM2dkqlkuztJVwul/SaCYVClxY4LpcLLpcLY2Nj8ntmBlNPnz7VBeZqX2qjwPyG6Mu1k6ohyLDP5XL1zYZ8sVjE06dPsbu7i2KxiNHRUTn+ljBWdz558gRPnjyR1Z10u86JM70KlaWrlTGJREJXjUXVMQ8fPtS5pRurbBqNsjPestlsjdFjveOjEXiq+Hc6nXKKA03n8Xq9cgPx0aNHAC4+L6pYf/nyJfb39wFcbBgYY7fbYjZH8UI3W3hbVQv/WdO0Twohfuf1gX0CwO917agYU6hUbnBwEAsLC7IcmxbJzc1NbG5uSuFIi+Rld7Ci0Sg2NzdxcnICu92OpaUlzM3N3ZoTrBVo42N4eBjLy8solUqy3Ovk5ARHR0cALkyfRkZGUCgUcHJyAgCYn5/v2qzyfsFqtcqs3uPHj2vGtm1sbMjfo37/1dVVWCwWmXk6Pz/H5uamvE+fzyffE3JPpuCHzD6SySQmJiZ6ISjitbOLqGVnail6PB7XZckpE250R7fZbDpjpP39fezv78uMhcvlwjvvvIPZ2dmufpaKxaIU42dnZ7K1htbyR48eYXR0tKvZqd/4DWPfHABor79/1JXH7GeMZelmJeZutxuBQAAPHjyQQtjhcOjK4aPRqLyOkHuyGtBedhPcZrMhGAwiGAzK75kZTB0eHuLZs2fydwYGBvCH/tAf4rXzkpycnOAb3/iG7nsOh0NuoNCNev1JwLtcrhtruywUCtjd3cXu7i7K5TLGx8extLSk++wQdrsd9+/fx/379wHUVnceHBwAuJnqzpukUqnUnFuJRELXm04bwLOzs21Vx2iaJtty26mOon76Zm73hUIB+XxeN/KOjKvp/VShzUe6UWXOyMiI3BjPZrNIp9PY2tq61WZzn/xk+rUZXG3P+VVoZgj3BBe9PnYAiwBevP7/FICwYVfzWrhr5UXtUCwWdYskZVvcbrduR7PRYiCEwNnZGcLhMM7OzuBwODA/P49Hjx7d+sW1Xai05dWrV9jf39eV+AwPD+P+/fsdN5a7bZAoIbFOHgt2u12XIXS5XDX9nVSGTBcuuhARN+zWzmtnB6HSc+OM8FQqpXvPyayzWCzCarXKyRHGfl8jlUoFL168wObmJnK5nPw8kcAfGBjQBZpXrYKhTSr67MfjcQAXm1Q02igUCl1r8MI95/WpVCoyw6RmwOjzoY7kUUvTW9mYvU6zuXqPT9k9MvF8//2Ghuk18Nr5hmKxiHQ6jXw+LwUPfa3ezKYCkSt/IwFPt06sC/l8Htvb29jb20OlUsHExASWlpbadusnKBNLLYGRSESa7VJ15+joKIaHh/talJFpo7oepFIpec5SVYq6FgwMDPRN9ST105OreyKRkP4ravuXpmk6Q7pm0yOMk300TYPT6ZR99ENDQ9LYkkbb9cPn5Cbc2qca3akQorVH7yD9HGBeN8bZwBTE0jgdcvCl8QonJycIh8OIRqNwuVyYn5/H7Oxs3ywo102lUsGzZ88QDodRKBRw79493L9/X16cKPtFfaFXNZa7C+RyOV05L5V/2e12GZAUi8Wa/iyLxaILdpxOJz71qU+1FWR0OMDktfMSkFBQxTf9q2bCnU6nzh3d5XLh+PgYL168gMViwdzcHBYWFpq2QNA5vL29jVwuh6GhISwtLeHevXsALnwj1ECT5oOTgB4dHW2pjYiqnOizTVM5qL2DxPhNBq3cc35BoVCoEeFq4G2z2UwD704KZjKbU2ev05rXitncdcNr5wVf/GIAn//8GI6P7RgfL+FznzsxHUNIG8mqgCffC6OIr1eaTALGKNqNN7NsfDableNvq9UqHjx4gKWlpbY2s1uB2tpoDY3FYgDQserObtOuaWO9svTbRLN57BaLBT6fDx6PBy6XCw6HQ/psUKaeDChpRG8jbDZbzez5ZnPqOzXK7jq4VM/5TSyCTOfw+Xzw+XyYnZ2VPb20SD59+hQ7Oztyx79YLCKfz8PtduPdd9+9dsOjfkIIgRcvXmBjYwPZbLbG9ZlQjeVIOADtG8vdBWiMBYmxXC6n24Wlub6E3W7H4OAgxsfHMTk5CY/Hg0qlgkQiId1FVR+A64bXzsZQ0GOWCVcv1i6XC36/H1NTU7oxZbTBVSqVsL29jbW1NVSr1ZZnlZdKJezt7WFnZweFQgEjIyP4yEc+gtHRUd1FnQIu8k9QS+A3NjawsbGhq/IYHR2Fz+eTXhVUERKNRqWwHxoawsLCAkKhEILBYM9sfn7ucyemc84/97mTGzyq7kGfQaMQNytLv3//vgy8r0MIUwWFWlasms2dn59LzxngYrOKpl70u3tyv66dX/xiAH/jb0ygXL44f46OHPgbf2MCAGoEujpqq5kgrlarTQV8NBptmo0n0ZLL5WSV3+joKGZmZrrWD6y2tQFvKuUoDqV2jnaqO7sFVccYhbi6Kez3+zEyMnIp08bbQqvtMtFotKakf3BwECMjI/K1I0PWYrGISCSCaDSKeDyOZDIpM/TlchmapqFaraJQKMiNLfV9MdKpUXY3SUtu7b1EP2R/+oFSqYRwOIz9/X3dzqzNZpPj2ijQZC6gWeVra2tIJpMYHBzE6upqTUBf729VYznKnNlsNl1WvV/H0bVKsVg0FWTGuZ3qrGj62uPxyBFSlMmkxX9gYEA3z/kyvXvdcBzuJdpZO5PJJL7yla/IUjQAl/oauAh6KpUKyuWydI41XlitVqvsqXM4HPJfGitjvH8yxyQ3bJrnTYGS2XHQBZ7KyenvxsfHdb3crT43NYNwfn4u11GLxaIr3VM9EoaGhnS7+nSfV3mNOykUW8389Ru0cacG3mZl6Ua39F6ucqpWq0gmkzrBTm1BwBv3ZLp106+A107gU59aQiJRG9wHAmX81m+Fu3VoEjUbbxTwqVQKsVhMjpWsB1WoXSYbfxkymYwU6s2qOztJK2XpxrWgx8wSex4zMzxj1YE6j51ea5qhXigUdGtbLBaTnw8ym6OJKh6PR4r8q46yazU7r37/Kgm2K41S6yVYnF+NarWKg4MDhMNhpNNp+P1+LC0tYWRkRM76Vkf1eL1e3Y5mnzlld4xIJIK1tTVEo9GOzCpXd5BPTk5k+bbP55NCvRO9rTdFoVAwLU1WgwOr1WoqwlvNTKkbHkdHRzWOo5/+9KcxMjLS8jFzgPmGTCaD9fV1+XqqYtPsa+rPphsJcuOFUNM0KbhV4U2Cu9H9AxfrV7PetruKmWhvdQOlE5sEV7mfVv+21U0TVZhQCSVhsVjg8Xjgdrvh9Xrh9Xrhdrvl57HTr8tVn4/Za1WPYrGoM9JUN406aTZnhNdO4K23VnCVkUrdoN74W6fTWbcXXs3S18vGa5pWV7gb++RbFbRU3UmGu1RtZLFYatqIWo272jFtVEX4bS5Lv2mobci4MUJQVaR6o/cjlUrp1jZ1+kWrZnOVSqVl13vVIK+VUXahUAgf/Wh7y+BVR6kxfU6lUsHz58+xtbWFbDaLQCCAT3ziE5iYmJCLkMfjwYMHD6TRGQn1g4MD6eZKY19GR0cRDAZv/U6iOqvc5XLhvffew/T09JVL0R0OByYmJjAxMaF7vU9OTnQj8sjBvBeN5cgpWxXfJMiN1RgDAwMYGxvTiXHaIW2HfD5v2g9KWK1WOJ1OVKvVO7uR1Am8Xi8+/vGP13yfHGmN73cmk9FdvLxer3TSV3vDL7vZJITAq1evsL6+jlQqhaGhIVm1ov6O8d9cLofd3V3s7++jUqlgfHwc8/PzGBgYaHnjAbjYFMhms4jFYvJGu/hqz2EgEIDdbke1WkU6na7pWaYMLZ0Davl9K8dRb9Oina8vc19mf9PK77Z7P+387WWh9yadTuPs7OxK93VTtCPsHQ6HfP3I90C9HxoxaLPZYLPZYLfb8elPf/r6n9Qt5smTJ3C73bqby+Xq2vU8Fothc3MTR0dHsNlsWFxcxPz8vK4ShI6jEbTpWk/A5/N5ZLNZnUGrkUbZeFXIOxwODA0NYWhoCIuLiyiXy7qE0fr6OtbX12G323UJI6rubNW0US2rbtW0kekcTqdTxrSEWoVG/6pjHy0Wi66vf2pqCm+//TYA6DYjz87OpLu8xWKRnydq96FN2FY++yp0HjQT850cH8ji/JZTLpexv7+vMzx69913MT4+XvfCQIuY3+/H3NwcqtWqzFCenp7KWd/UF0dl8L0mHq9CJpPBxsYGXrx4AbvdjtXVVTx69KgrmWzj6029rSTW19bWsLa2Jo3lxsfHMTo6em0XFRI5xix4Mpms6QMfGBjA/fv3daLM7Xa3/bkQQiCVStWUoaoZMI/Hg0AggMnJyZqSKOZqUKBjrH6gCRDAxeeWXFYnJyfle+73+zu6aXd2doa1tTXpI/DJT34S9+/fr3mfVVFiNDx6+PAhFhcX2zI8ymazOnNCyra4XC55DoZCoZZaUcrlsm428OHhIYCLTTo10LztbS2XxViWTmsCVWaomx6BQEB+rQpToL1Nj3Y3Itr9nevYiDH7mlpL1PFKNDoJgNxcYi+U9hgcrCAer40PPJ4cdnZ2ajaVKPtsFO3GWzvvQyQSQTgcluNvHz9+jEePHl16o1rT3ozwajbTmXqCzTLw9P3z83Pk83nT0uJ62Xifzye9eTKZjPTyePnyJYCLDXmLxVIztSMQCGBqaqprpo1M52jUx66u+caxj2or0uzsLN577z1Uq1Vddn1vbw+7u7sALq7danad2syaoZ4H13WNZnF+S2nV8KgVqKwoGAzi8ePHKJVKUjyenp7iyZMnAC52xNRAs5O7SNdFoVBAOBzG3t4eAGBhYQGLi4vXmoW1Wq26ncV6xnJDQ0Py9zrh8ixEa07ZZGJDgkx1zL6MMKZdU6MQVwNvyrxT2dng4GDd94Q+n402oJjGJBIJfPnLXwag78d9+PChfM99Pl9XA/h4PI61tTWcnJzA7Xbj/fffx9TUVMPHpLmqz59feEpNTU1hcXGxJe+MfD4vDd/Ozs6kaRKVq5GnwWVKHm02G+7duydd4GkqAa2hJNapjYjaWu5i9Uc+nzftByVsNhsGBwcxPT0tAzMOvK+GajaXz+dZmF+CH/3RI/w3/80ESqU3r53dXsXf/JtRfO/3/rAUqma3RCKB4+NjU9FK2eV6N5fLhVgsJsffOp1OrK6uYnZ29lpNAS0Wy6Wy8WZGd82y8SrG9imPx4NQKIR79+5hbGzs2loDb6tfx01B2fJAIICHDx8CMO9jj0Qiulnsah/7/Pw8AoEAisWiTrC/evUKwJvYUhXsvTI5gHvObxnFYhFPnz7F7u4uisXi/7+9e49tfD3vxP59eZFESrxJJHW/aySNZub42GeOz3GCJM6e5PiGYP9puusCLbpAETTowqcIUqC7LZAJ0CIOUGx6uk6LLNokQNBdewuss94et/buJkDsjZvYccYe3TUzks7MaCRRF+rC++XtH5z3nd+PIilSIvWjqO8HIEYj6vKTRL58n/d93udBOBzG7OysrpbZCIlEwtSyTe1uqvPTaoepmavHZjIZrK2tYW1tDblcDqOjo7h9+3bTLTBIefnCclLWVinbuAturJR9EcVp6dFo1NQf3ul0nmlTdN5OrEp/UzuTql2LlX3Om1EtY+e3vtWFDz/sRSTSceUTjdPTUywuLuLZs2dwOp2YmZnB1NRUxcfA8fExVlZW8OzZMwghMDY2hunp6YrPA1UhVgXjqvWhavOjbo3OCFJZIuqs5d7enl4MUwtw6hhRKwVN6jhP8W54qeyYUgWDqHlw7Cy4TICmgtZEIoF4PK7PfMfjcV07IZFIlG2tpjKZVGu94iC+XkXcGqVU0cZoNHpmTmJslaXOD5fbjQcKQZ7qpd3V1VU2xf4yi3sffeQr2eniwYMXDNCvQHH7y/POsbvd7jP1OdRrrtPpPNP5opFZqiwI1+JSqRQeP36Mx48fI5vNoq+vD7dv3z7T3qvRpJQ4Pj42TTRzuRyEELqfbzgctrSfr1Eul8PTp0+xvLyMdDqNwcFBzM3N1b3fZ6OownLb29umvuBdXV36qIHD4UAsFjPthBuLvLhcrpKF2S6za1cqLT0ajZpWwt1u95mKqNVMvFXvVJVyvL+/r8/zFveMruUFlxPMAqsmGslkEktLS1hfX6+6V3lxwaOJiQncunWr5O5NNpvVldojkYhexFHHc9Tjplwhmaui0vLUYqdagLPb7boGRTgcbmj17XrLZrP6PGil7BhjUaZK2TFUf5cJLDl2Xp1MJoPNzU08fvwYsVhML2g7nc6SBRAV41lb4667y+XSPakbeQ7e6LyiYCot3Tg/qJQdU7wbH4vFdIXv09PTim23FFWF+7xK9W1tbWd+R++/P42XL8+OVf39aXz3u6s1/naoHkqdYy/ux15cKyabzeruK8Zic8aOK93d3fD5fHWbI9zI4PwmpJkkEoXzTE+fPkUul8Pg4CBmZ2fh9/utvjQAhYnm/v6+DtbVhNjhcJgmmledSiJldb3KrwNV4Ojo6Ej3iozFYmdekNSZcNWCQgXil81oKB4ES0281YTbOBhWO/HO5/OIRqN6Z3x/f19/7UAgoHc4L9tyhRPMgqueaKhe5Wtra1X3Kj84OMDy8rIueDQ5OXmm4JFaxFE74yrIFUKgp6dHP25qXcS5aplMRj/2d3Z2dKaJOkakxtBaCtw00nlFGy+SHUONddkFOY6djSelxPPnz7G8vIzj42N0dnZidnYWIyMjZwIF1Ru9XBq9upU6B18ueDf+v9rApDg7Rv1rXDxQacjGMaHaji3VMmZ37uzs6E0Cdabd5XLB4XDoXXh1q3Q23hjI/4N/8J9ByrPXK4TET39qTaV+OstYqNV4K9WPXb0mZTIZHB8fY39/Xz9uVLE5Y8B+kdpKwA2s1l78YvPyZRsePBgEgJYI0OtR8Ogq2Gw2PQm+c+eOqYXY7u4utre3ARQGaON59Xq1eCkmpcTLly+xsLCge5V/6lOfMlWObFaqUnZxKvrp6anpRbazsxOhUEifs1WT5ZOTEx249/b2wm6311TcQkpZ8jxocVq63+/H+Pi4TiHyeDw1rTJKWehhrQISY5qv1+vF2NiY7n/KnbX6294uvVhT7v0Xlcvl8OTJE6ysrCCdTmNoaAhzc3MVCw9VKnikFgKNizhqlTwQCGB6ehqhUAg9PT3XqkWh0+nEwMAABgYGABTGfuMxInXezuPx6GA9GAw2/BiRmngXB+KVijY2YuJNl/fhh72mwBwAkkkbPvywtyXmS9dZPp/Hxx9/jJWVFd3+9u2338bQ0FDZ11XVLrDSsTwpZcVz8KondakAVQWlxkBedUlJp9OIx+M4OTkxpaWr2iUqo08F4ldR2NblcmF0dBSjo6Mlszv39vYghDAdI+ru7taLHOVu6vfk9R7h6Mh/5vt6vUf4zne+U3Envr29He3t7RwTr4DNZtMbU8Xn2I0p8aXOsQcCAXR2dsJmsyGdTuP4+BhPnjzB2toagMJzYnBwEG+++WZdrvX6zFBq1KovNpcpeNQMjC3EgEJVdDXJfPnypf65vF6vaaJZj8m0sVd5V1fXmVZyzSKbzZYNwo26urrg9XoxODhoOhtebgfKWFhua2tL/65LFZYrbgWl/i2Vlj4yMqIn3hc5D6pS4FW6cSQS0efqurq6MDw8rIPxRi3a0Gt9fZmSO+d9fZkSH107NdlcXFxEIpFAOBzG3bt3EQgESn68lBKRSARLS0vY29vTBY/Gx8cRj8exsbGBSCRiWsRR1VvV46aZ613Uyu12Y2xsDGNjY3ohS00019fXdRvG7u5uPdEMBAKXSsOrNi1dFW2sNTuGrHVVC3JUvVwupzvtxONx+P3+sp0qLsJYHb3S2JvJZM4E7qoV4cHBATKZTNle6Kq6terqUXwW3opx2ZjJd+vWLVN25+7uLpaWlrC0tKSzO9U8tKenp+zv/cc/zuJf/ksJc597ifv3t+Hz+XQafzKZLJliL4SomFJvvO86LSxfB6pWQ2dnp14ABwpHL4wBezQa1ZuJQGHRvLu7Wx8FSafTdY0lWvav3GovNsUFj8bHxzEzM9N0Bctq1dnZifHxcYyPj0NKiWg0qieaqgWCSkM1TjRreRIcHR1hfn4e29vbde1VflmZTKZkz2h1bhwoDBxdXV3w+XwYHh7WQXhXV1fNaaAul8s0qVeF5ba3t7G8vIzl5WUIIeBwOJDNZvVuvJp49/X1mc6EXmbirRZlVDCudtvcbjf6+/t1tsV1f3xfRx98sFMyxfWDD3Yu9XWlPNur/P79+6Ze5cUfrx6bBwcH6Ojo0J0T9vf3sbKyotPRjIs4oVDoxvSuFULoDJXp6WnkcjnTMaLFxUUsLi7qIndqDK1Ucb6aoo0qO4Zp6a2h0QtyVL1sNov19XWsrq4imUyiu7v73Pa3jZRKpfQueLnsGI/Hg87OTl2sLZ/Pm4L5w8NDvHz58szXLnUOvvjW6F3lctmdagxVAZlqZavGUONGwfe+54U5MAcAgcXFCbz7rjkYP69vvBp/S9UNAApHQqsJ4rkbfznG7lNK8SJ1NBrF1taWXpwypsdfVssG563yYnN0dISlpSW8ePECdrsdU1NTZQseXXcqrSgQCGBmZkb3+1aD5MLCAhYWFuB0Ok0TzXJpklfZq7ySdDp9Jgg/OTkxBeE2mw0ejwfd3d0YGxvTu+D1bFel0tKLd8ONE29VAVUF5i6XC/39/ejr60MoFLrw7061jlIBufrZOzo6TJWxmfJqPZVZVM96HdX2KgdeB/FLS0s4OjpCW1sbAoEAYrEYVlZWABQmhIODg/px04rj4UXY7XY9obh79y5SqZRpoqkmyC6XS1eiVwUjKxVtHB4erqloI10vjVqQu4lUxpkQQj9Pqnk7l8tha2sLz549QyaTgd/v10V9bTYbTk5Oavqa1XycUaOzY1TArtLBi6vQ7+3tVXUOvlw7uXrNkypldxpb2RqzO7e375T8WqU2Ax0OB7q6us7NdlXHDsoF8MYgvpbdeNWaj7vxtXM4HPqMuWLMMq3nhl/L/kWu+4tNccGjmZmZMwWPWp2x3/e9e/eQSqVMZy1Vr0K3223qDSyl1L3KhRBX1qs8lUqVbE9mXAG12+3weDwIBoOmVHR1lqVeqklL7+zs1D0k1YutCnJOTk50Cvzm5iaePn2q+9339vair6+vYrVoFRSowEAtAKiFFXX+t1l6SpLZl750VJfjP9EaepVLKfUZ9GQyqR8X6XQaNptNP7/Vghydr729HUNDQ+jr68PR0ZGu9XF8fKwnmcaP9fl8+rwl09JvjkYsyN1UkUgEP/7xjy/9daLRKP72b/+2Dld0MSqQdzgcsNlsOnVXva5fdpGg+Huos8D5fN50U33MVWE54+aBkd1uh8Ph0Den06n/VTf1c5S7jkpvq7loIpHQ8zvVtrij4zNIJM6+JnV1ZbCzs1PTgkmp342aK5b7veZyOaRSqTO34kA+lUqV/N0V78aXCuC5G1+a8Rx7PbVscH5dX2wqFTy66drb2zE8PIzh4WFdjEgF6i9evMDGxobp4/v6+vCJT3yirufx1Wpm8S748fGxKfBVA2pvb6+pTVkjdp0ymcyZ/qDFLSO8Xi/6+/vPtI4oR13vrVu3dAaDCtbn5+cxPz+Pjo4O/YIVCARwfHysX7hVGwp1bmt8fFwXguHg3vpOT0+xsLCA58+fw+l04t69e5icnDyT+pxMJrG7u4v19XXdEg94vTCn0tS5iFOdWoo2qjEgnU7j6OgIBwcH+Hf/Lox//+/fw9GRD8FgHL/+68/wq7+a4e/+BqjXgtxNNzg4iO7ubj2WSSlLvp1KpfDixQtsbW0hl8uhu7tb148p/pxyX+e875HP53XRN2OgZtxpdTgcuihZe3s72traYLfbIYQ4830qfa9ar6+Wz1VBqt1u1/OafD6vP04F8ul02jQPs1o2m8H3v/99qy/DxBjYK/l8HvF4HLFYDABMf+9yn68WOmw2m74JIWC322G32/UCfL0zPS76uZf9OtV8vsryq4eWDc6B6/NiI6XE7u4ulpeXTQWPJiYmWqqQUT0JUaj86fF4MDY2hidPnmB5eRmZTAZtbW1Ip9O697exqEe1waGa5Bp3wNW/qlgZUJjoejwe9Pf3m4Lwi7ZVqOaais+DqgEVKKRk+Xw+TE5O6gl4rdXSixkzGIBCivrW1haeP3+OZ8+e6cJywOtiK3Nzc3UpREXXSyKRwPLysu5VPjMzY+pVnk6nda/xnZ2dM71tBwcH9WOXAWFll8mOKfW7/da3uvDRR8NIpQoLKHt7nfjqVyewvPz/4P33Izpd/roUHyWyQltbW8XNlEQioTvt5HI5DA0NYWZm5tLtb1VL0+JF+uK09MHBwRtRtDGbzZ7bSq5UIG+320ue41aLFx0dHaZ5uZQSv/3bpWvjJBKF97e3tyMQCOjfuUojr7T4UetCTL0WdIwLHtlsVmcuZLNZ0/tUVkOlc9bFgbsxc6HUIkE9fx4rhEIh/PzP/3xdvlZLB+cA8PLlSzidTrS1tel/m6VwTamCR2+88QbGx8d5BqQKUkpsbm5iaWlJ9yq/d+8eAoEAstmsTqne3d3Vu73t7e06Nba3txcul8uUpmRMSTeuLre1tZ2pjO71enWlxnrL5/M4OTk5swNmXBjo7OyE3+/H6OioHvQbsSgAvO4ZrXbG1S6nCsbVDpw6s6aCBhXUMw25taXTaayuruLx48fI5/MYHx/H7OwsnE6nDsYjkQgODw8BmFedvV4v7ty5g/7+fgbkZaiJd/F50MtkxxT72tcGdGCuZDJt+LM/ew/37/+vePHiBYDCuGM8RtSqk3uieorFYlhdXcXGxgaklBgeHr5w+1sWbTyfyl6s1JqzuHBd8e3w8LCqc/A9PW9ib+/sHKe3N4U333xT19pRxeX8fr9e7AwGg9f67yKlPNMfvlzBu3JZDZUq1RvT7GuJi6oJ7I1vV3tfpa9Vz7itpSNAKSX+8i//8sz77Xa7KVhX/6pbpffXY/KoCh4tLy8jGo3C7Xbjk5/8JEZHR6/1k/SqSFnoVT4/P6+rPhf3Knc4HOjv70d/fz+AQm/gZ8+e6eqbz58/L/m129vbdQ9EFYB7PJ6GnrVRaenGF9vj42PTxNvn82FgYMBULb2RWRX5fB7RaNTUM1qtwAcCAdy6dQuhUOhMmzt1Jk1lLai6AF1dXTpQv0xhOWouqle5yloZGhpCf38/Tk5O8Fd/9Vc4ODjQiziBQAChUAjRaBSZTAbBYBCzs7MIhUIMyl8plR1TXLRRTbwnJiZ0pfbLZscA5TuZHBx04gtf+AJOTk5MvdXX19cBFMYDNdHs6enhaxiRwWXa30opSy7Ss2hjfdhsNt1Gqxw1JieTScTjcVNRO9Xn/LOf/S7+9b/+EjKZ1wuVTmcan/3sd7G5uQmXy4Xh4WEAr6vfr66uYnV1FTabTWd3hsPha5c1pgrPqZolleRyuYrBu8pWTSaTZesKnBfAq2spTqu/blp+hvzuu+8CgE6/yGQySKfT+t90Oo1YLKZ3JVUAUo4qLFFtMK/ettvtkFLi+fPnWF5exsnJCbq6uvDWW29hZGSEqb9VKq76XNyrXJ1FLy7KdnJyYvrbqr9LPp9HMpnUgXBnZyd6enr0RLOefxcpJRKJxJkX2uK0dL/fr1N7/X5/XSu2V7q2o6MjHYwbe0Z7vV6MjY3pVd5KO2XGSqdqYqHOqm9sbODJkyc1FZYja3z0ka9ivY58Pq+zVhKJBLq6utDZ2amPOwCFoG16ehqBQACHh4d4+vQpMpkMent7MTs7i2AwaNWP1xTqnZZ+WZU6nKiUWK/Xi6mpKeTzeRwcHOhgfXV1FSsrK7Db7aZjRHxu0011fHyM5eVlPHv2DDabDRMTE5ieni7bHtSYHaMyY4rT0n0+H/r6+m5EWnqzMO6SlztP/P77Em+++QL/9J/2Y3e3HcFgAn/v7/0E9+8fIpFow+npKSKRSNkUcNWVCCgEoF6vV8+Renp64HA4WmIctdvt5y6GAJV3441B/O7ubtnfaS1945vxdyusys2/qDt37shvfOMbVX2slBLf/OY3IaUsueKiWjAYb3a7HdlsVgfuxiC+VGBv/P95v0tVYMNut6Orqwter7dsMG98m4H72V7ls7Oz6OnpQSwWOxOEq0AbKLQMUrvfxp1w4wtaPp/XvYF3d3dxcHAAoDCQGFPgaylKVZyWrl5wS6WlqxdZv9/fsDT5YipwVunGkUhEX1tXV5f+uYPBoKmf52UUF5Y7Pj4GAFNhuXA4bFlHgnv37v2NlPK+Jd/8ClQ7dn70ka9kp4sHD17gC184xOPHj7G6unomRc3n85keN/l8Hmtra3jy5Amy2Sz6+/tx+/btuhVMuU6qLdpoHAsanR1TrNLf/bzaLZlMxnSMSNUSMPaKDYfDZQMTut44dr5W3P5WBeXqdVTtxFZbtLGe2TFkrUrn4GOxGOLxeMW2aF1dXXC73Zb0g29WpXbjiyvVq1stu/GlKtU34vlXbuxs6Z1zKSXu379/plKlailT7klQLojv6uoyvd/4RJBSIpfLmYL2VCqFly9fYnt7G5lMBk6nE11dXbDb7chkMtjf39e7+ZWoNPxadurVDv91f7IeHx/j0aNH2N7e1hPYfD6Pn/zkJ6Ynmtvt1j04jS3Kqpnc2mw23S/5zp07OjXb2NsSKASRxommajvWjGnppcRiMVOvcdXiTfUyV7+DRk2gSxWWU4H61taWTvsLBAL641SPV7o6H37YawrQACCZtOF3f9eHVOqP9POuo6MDfX19+qiCWlRJJBJYXFw0FTyanZ09N+WtFVhVtLEeLtPhxOl0YmBgAAMDAwAKx4iMbS+fPXsGAPB4PHr8DIVCLHhKLUfNL2dnZzE5OannE8ZF+lJp6VeRHUPWquYcfC6XQyKR0BtGh4eHOD091fGLzWYzbUApxefgG90PvllcdDdedTEwBvK17sYX/9/tdtetvlJLB+c2mw0jIyNl789ms6agvTiIj8Vi2N/fN+12GpVLmXA6nTg4OMDz58+RSqXQ3d2N2dlZ9PX1lRxw1YOm1C59qf+fnJzo/5d6khpV2pEv97YVRfOy2SxOT0/1Lng0GsXBwYHpSaLaZXg8HgwODuoA3OPx1PUMszE1GygEtbu7u9jZ2cHLly91f2D1PYsLx1mRll5KIpEw9RqPx+MAYCqKFwqF0NnZaclEwOVyYWxsDGNjY5BS4vDwUAfry8vLWF5ehsPh0JkLLCx3NcqdPT48LASQw8PDmJ2dPfO3KC54NDIygpmZmYoTkeuslqKNY2NjelGumSfe9epw4na7Tc/t4+Nj3WNdHW8RQqC7u1sH61yIo1bgcrkwMDCAnZ0drK2t6bR0tbnQ19dnWqRnWjoZqczarq4ujI6OAiif3akeU263G06nUx/TPDw8xNbWVsn4QG04Vrq1Yt2Qy5yNL7UTX+psfDAYxC/8wi/U5XpbOjg/j8Ph0E+CStQDvlQAr27RaFTvRBY7PT3F/Pw8Hj9+XDKYVytaF0nnNe7Wlwvoje8/PT3V/6/EZrPVXCxP/VtpgpXNZk3nwVU6unFnyUhNbHt6eq602qiaeBdXRzYuFqhsCSUQCOidRCtaiKVSKX12KRKJ6NRSp9OJUCiEW7duIRwON2XPaDVR7+7uxu3bt5FOp/WCiNpZB14Xluvr6ztTjI7qo9zZ42Awjl/5lV858xwsLng0NjaG6enplmq5dV2yY5qROivr8/kwPT2tOz+oYH1paQlLS0twOBx60bBZxymi8yQSCWxvb8Pn82FiYsJULZ2LT3QR52V3qvmRyu4cHR3VhXcTiQTi8bguaKfimErn4Nva2s4N4Jv1rHY91Lobr4L3ej6/ObOtgs1mg9vtLpvum06n8fjxY6ytrSGbzaK7uxsDAwNoa2s7E8Tv7e2ZCpAZORyOisG7cWdePSnsdrt+stRCSmk6W3/emfp4PK7PTJc6DlD8czidTtjtdn3OXhXkK/7czs5OeDweDAwM6GMAqurz3Nzcley6ZTKZM0WZSk28i/uDOhwOfY5aDZJqoqkCYmNv4HoPZJlMxhSMHx0VdrxUUaaxsTGEQqFrV/0TKLw4DA0NYWho6ExhufX1dV1YLhgM6l11Fp+qjw8+2MFv/Za5rVZHRw6/+ZsHpsC81oJH14Eq2lg8HjRD0cZWoWp5hEIhAK87PKhg/eXLlwAKO5DGY0T1qn1B1EjDw8MYHh7maxE1THF2Zzwe1+Pn9va2zu70eDy6ls/Q0FDJxeJMJmOqQF9ckf7w8LBkCzSHw6FjE3UOXsUrbrdbbzi28vPAuBt/kZaIFb92KxeEa7RkMonHjx/XXPComr6A6slRqnq8zWarqrhdo54Y+XxeB+2xWAxHR0d697vcdasg/TzqzL/L5ao6BV8tBJxHSqkXGYznQVW6NwCd8mIs1FbLxDuVSpkmmupru91u00TzIlkS2WwW+/v7pp7RUkpd/VylqVuxa3+VGlVYjkWNXvs3/8aLf/JPerC/7z5z9jgajWJ5eVkXPJqcnMStW7euXfBkzI4xBuLNUrTxpjIeIzIWqvT5fKbewMyaaR4cO4mag+q8o+age3t7yOfzEELoeWI4HK5pnqjSvCv1hC9VcE3FKqWCd2PM0srz1fOUGzsZnF9AIpHA6urqlRQ8ymQyZQN3461Uaopa1TkviK/myZFKpUxp6OpfYyq/agFhLMjm9Xr1mebionkvX77E+vo6EokEXC4Xenp60NbWVrZSfiWletcDhQm4+jqJRMK0aKAm3oFAwDTxrhcpJWKxmB4kjSlEfr/fNNEstbhgbFcUiURwcHCgB9nu7m69+3TTewur4lMqWFe/4/feew9+v7/qr8MJZmUHBwdYWlrC9vY2HA4HpqamMDU1ZVl1/VpUm5ZuzIxhWrr1pJSIRqP6+b2/v498Pm9akFQTTS6YWIdjJ1FzyuVy+rz6zs4OotEoANQ9u1MVQ60UwCcSiZJZw8bA/SadgwduaLX2eisueDQ8PIyZmZm6pzMYqarr56V3FxcwKA7gK6WnAK+rEKpdaJX2rlJejOnoDofjTGV0VZSi0pNbCAGHw4HDw0NTr/J3330XAwMDFT9XSlk27V61oYjFYrqQ33n96gHoz9nd3a2pWJ76v0rbr/TzqpoGk5OTuuiZGiTX1tawurpqmmi6XC5dyG1/f1//HH6/H1NTUwiFQtw1KlJcfEr9jhv5vLxJIpEIlpeX9fNkbm4Ok5OTTVnIqJa09KmpKR2MMy29OQkhEAgEEAgEMDMzo7OH1ILnwsICFhYW4HQ6TZlJrVTvgK6Pjz7yXajbAVGj2O12PS7evXv3THanOq9+2exOY7X4clTWcLnA/eTkBLu7uyWPzlZzDr6VFtM5w6/CyckJVlZW9DmOZix4VG0BA1Xc7ujoCIeHhzg+Ptbp6MfHx+emnqtzJna7Hfl8HqlUSlePj8VievWrVLGIaDSK+fl57OzswOVy4VOf+hRGR0ermhQLIeB0OvVigXHyXZyWHgwGTTtgbre75vP11fSuF0LUXCzP7XZjenoas7OzyGQy+Pjjj/H8+XMcHh4iEomYfs/d3d363HUzBkLNyFhYji5OSond3V0sLy9jb28P7e3tuHfvHiYmJppmYahc0UZjWnpXV5epWjrT0q83h8NhaseYTCZ1YaSdnR28ePECwOuJZnGbP6JG+egjHx48GNRtKF++bMODB4UzwQzQqVm0t7eb6vkYjxG9ePECGxsbAArHiNQRwXLZnbUyntGulNWo5vnlbuedg690a2truxav/80xy2pS173gkTpjXZyKfnx8bFqZam9vP5OKrnbqS7UQULf9/f2yxe3sdrtOmXc4HIjFYjg9PYXdbsfo6CgmJiYqtvDK5/O6pZrxjLgxvb2rqwvd3d26IqpqU1SKKrZX6+9PBfWVgnn1tmqvUE3RvOIz+GpxxeFw6L+bOlu+tLSEUCikq5RzokmNFolE8P3vfx8ulwuf+MQnMD4+bmla2WWKNlLr6ujo0AW4pJQ4PT3VE83nz5/riabf79cTzZt+DIga48MPe3VgriSTNnz4YS+Dc2pKxuzOiYkJU+bh7u7umexONYY2usiwyhiulP2o+sEbC9kZ0+p3d3eRSCTOfN51OQff0jOXi6YYRaNRLC0tYWtrC3a7HdPT001d8EitfhmDb/W2Mb27o6MDHo8Ho6OjpnT0SsHeeVXgVbp5qeA9Fovh4ODAdC49l8thc3NTt11SK2mqAr06I25cFVMT76GhIV2cyev1NnzirXbrL5Iqo36Oo6MjRCIR7O3tmVqxqQFC/dzqLH6pMznJZBLPnj3Ds2fP9HWpxQa1ElguBb84DZ+oGqFQCJ/+9KcxMDBwpY8bY9HGStkxPp8PU1NTFyraSK1JCAGPxwOPx4PJyUnk83nTMaLV1VWsrKzAbrebJpo+n+9a7KRQc9veLj1PKPd+omZjzDycnZ1FNpvVHYF2dnYwPz8PoJBirjaMwuHwuRm7jWDsB1+Oyu4ttwN/cHBQ8Ry8upUK4Bt9Dr5lg/OLpBjt7+9jeXlZFzyanZ1tqoJH+Xwep6enZ3bBT05OTA8ul8sFj8eD8fFx0254I1KjjandapUrk8lgdXUVOzs7yOfzGB8fx+3bt+FwOBCNRnWgenJyole7yvWIVz/34eEh4vE4Dg4Ozi1uZ2UQqs6Lq1RLFVS0t7frgSwUClXMGijVuz6VSulg5fT0FKlUCplMBicnJ/rnPe+cvepdX0savnofJ683ixACw8PDDf0eKjumOBAvlR0zPj6uA3GmpVM11G5PT08Pbt++rVtPqrOWjx49AlAYm41nLa9LZhw1l76+DF6+PDvH6uurXMyWqFk5HA709fWhr68PQGGjSO2qG48RdXZ2mo4RNcsxTJvNdulz8MfHx9jZ2SmZDatqdanvEQgEMD4+Xpdrb9ngvNoUIykl9vb2sLS0hEgk0hQFj1QQrnbAVQB+cnJiSoV2u93wer0Ih8N6F9zj8VhWFCGXy+HJkydYWVlBOp1Gb28vgsEgkskk/vqv/9q0cwwUejD29/eb0lA7Ojr0ufhKVeqPjo6QSqVKngl3Op3nBvBq1/qyUqmUqdf4ycmJvoZQKIRbt24hHA7D4/FUHVBU07s+k8mYinqcnp4CKKxo9vT0wO/36+9Zrvp9PB5HNBpFOp0+N7B3OBw1FctT/5aqPUA3TzqdLlktXT1/7Xa7zo5hWjo1gtPpRH9/P/r7+wFApz6qm8pM6urqMk00W6nIEDXOBx/smDaEAKCjI48PPtix8KqI6qejowMjIyMYGRmBlFIXcFPj5/r6OgAgEAiYjhE1c1Zbvc7BHxwcIB6Pt05wLoT4PIAPAdgB/O9Syq/W4+uel2IkpcTOzg6Wl5exv79vScGjXC6ng25jEH56emoKOjs7O+H1etHX12cKwptl4ppIJLC2toaNjQ1kMhl9Xaq1lZp4Dw8P64l3pbR0m80Gt9t97g6GlLLkmXhjEL+3t3fuufhyAbx6v0o9B6B3X1QwfnR0pL9WMBjE2NgYQqHQlZzJGRgYwMDAAIDX7cTU7eXLlwAKCyBqR6jSRFP1rq/mfH0mk9Fn66stmlfLLn0tvetvskaNncDFjwRVm5auzgCrILyWxSuienC5XBgdHcXo6CiklDg+PtY7Qpubm3j69KmuFq8mmt3d3U090aTqNGLsVOMjq7XTTSCE0PHI1NSUqfXv7u4uVlZWsLy8rOfGasHT6/Vey9f6as7B17M1uaXRnRDCDuD3AfwygOcAfiiE+JaUcvGyX9vnyyEaPfvj+Xw5bG1tYXl5GYeHh1dS8CibzZ4JwlWVdEUIoYPwwcFBU2G2ZglS1Nl2NeGORqM4ODgwVUd2Op3o7u7WZ8PVedBGPBmFEDqQPu+61bn4Uj3ik8kkotEokslkydQVIYRuL6d2mNXfa2RkRPeKdLlclg06xe3Ejo6O9ERzY2MDT5480eeJ1EQzEAjoiaY6A3+Ronml0vDLvZ1KpXB6enqh3vW17Npfx8G/Fo0cO6s9ElRN0UaPx2Mq2qiqpRM1EyGELip669Yt5PN53Rt4d3cXS0tLWFpagsPhME00uah0/TRy7PzSl44YjNONZLPZEAwGEQwGMTc3p7M71Tz00aNHePTokT5GpOah59W1uk7q+logpbTsBuAzAL5j+P8/AvCPKn3OW4DMF91ygHz06JHc+vKX9fu6sSsBeebWjd2yn5/w+c7clwdk9tX9Kaez4v1pIUrenwHkgwcPZKbEfXlApoWQDx8+lNky96ecTvno0aOy9yd8Pvno0SOZK3P/8dRUxfu3vvzlivf/yZ/8ifza175muj8rhEw6nfLU7Za/8zu/I7/+9a+X/fxHjx7JR48elbzP6vtzRffnhJBph0Mm2tvlqdst10dG5IMHD+SDBw/ky95e+XxgQG4OD8v10VG5Pjoq/+8vflE+ePBA/g//+B/L9dFR+fHQkHzR3y+3w2EZ6emRC7Oz8k//9E/lw5/7OZloa5MZu/3KH3sPHz4s+9hL2u3ym9/8pmWPvY0vf1n+4Ac/KHv/H/3RH8k/+IM/kLkyP5/622TL3F/LYwPAj6wcD5tl7BzBesmxcwTrJT//wYMH8uPe3oY9fh89elRx7Kz0+LR67FSPr8veX83j96rvLx47L3q/8bFX6v7jqamK9zdy7Kz02EvY7fKrX/0qH3vg2HkdH78cOzl2Wjl2PnjwgI89lB87rc6LHgTwzPD/5wDeKf4gIcSvAfg1AHiryi98iJ6a3n9Z3/72tzFd4f5333234udbuTuezuWwu7uLuTL3b2xs6LMYUghkHQ7kbTZASrSlUvjiF794rVP9Dg4OEIlEcAeAkBKObBaOVzvoIx9/jJ/92Z9FMBhE74MH+nMkgJzdDu/RERxf+Qqc/+pfwXd0hJzdrm/ptjaszszgJw8fYuXdd+H7+GP9+bZ8HvZcDk8mJ/H0Rz/C/ltv4ZM//CHsuZzpBnn5NJnzHls/+clP8CuX/i4X0wZUrLZ5//79whtlfg+//Mu/jHQ6DVGH39M107Cx8xlGanr/+++/j9Dv/V6VX52oNdilRDAYtPoyqHYNGzuJ6Hz2fB7vvfceYJhTG2WFwP7+/tVeVJMR0sJJrRDiPwLweSnlf/Hq//8pgHeklP+w3OfcuXNHfuMb3zj3a7///nTJypn9/Wl897urVV1fKpUq2Z7MWFncbreX7BHe2dnZdAGrlOa0dPWvsRegy+XS6X3GtPRYLIaFhQU8f/4cbW1tmJmZweTkZNOk3FdLytdnC1VVdZXK7vV6EQqF9K0eBQFVK4dK5+LVrdRz0dgyraOjw1Qdsri43UVTalRvYHVTack+n0+fVw8Gg01T46BR7t279zdSyvtWX0c1rBg7w+EEPvpogWnpRAZSSkSjUT1+7u3tIZ/PQwiBnp4encIZCARaNgWeYycRXVQulzMdIzo8PARQmP+qY6O1Fla+LsqNnVbPtl8AMPbrGXr1vkurtnKmlFIH4cXtyYy9th0OBzwejz5npgohuN3upnyw5HI503lQ9a8KRFVP2GAwqINwv99/pm1cIpHAw4cPsb6+DpvNhtnZWUxPT1+bCrZSSpyenuqzL5FIRJ+R7+zsxPDwsA7GGxF0VNPKQV1nOp2uGMSrnvGlKqsbz4xXqlTf3t5+5vGqekVOTExASql7A+/u7uLJkydYW1vTbYnURLPRBe/oXFc+dv7Gb+wxMCcqoorGBQIBzMzMIJfL6aKhu7u7WFxcxOLiou7gocbQSu00qaEaNnYSUe3sdrsOwIFCd5dSBY5dLpepk0Yrz0esDs5/COCWEGIchcHx7wP4T+rxhUtVzvz1X3+G+/c3sLZmDsKLC5p5vV709/ebdsOtLPZ1HmMPbBWIG9uuORwO+Hw+jIyM6EJtXq+34q53Op3G6uoqHj9+rHuVz87OXoviDbFYzNRrXGU6uFwu9PX16crlzdTP1tjOwefzlf04KSWy2WzZwnbJZBInJyeIRCIlC64Zi+hVuk1PT2N2dhbZbNY00VxYWMDCwgLa2trOTDTpSl3p2Mmqw0TVsdvt6O3tRW9vL4DC67Nxorm1tQWgUMTT2F+9eGGcGqZhYycRXV5bWxuGhoYwNDQEwJzdubW1hc3NTQCtnd1p6U8ipcwKIf4hgO+g0NLiD6WUC/X6+p///AH6+v5M74pns1l8//uF+9ra2s5URvd6vejo6GjaIFylpRfvhpdKSx8YGNA74rWs0Kte5cvLy8hkMhgeHsbc3FzFc8FWSyQSOhiPRCK6Cn57e7veFQ+Hwy2xUyGEqKqlA1DoElAugE8mk4jH4zg4ODBliBipFHp16+vrw+DgoK64vre3hxcvChsOnZ2dphXNehwJoPIaPXay6jBRfbS3t2N4eBjDw8M6k0tNNF+8eIGNjQ0AgN/vN000r9uRseui0WMnEdXXTczutHyZQUr5bQDfbsTXttls2Nvbg8vlwsjIiKlHeKn03maSy+VMO+Hq7eK09FAoZDofftHV93w+j83NTSwtLSGRSKC3txd3797VheCaSSqVMvUaPzk5AQCdNjg1NYVQKHRt+ynWi8Ph0INaJcZz8eV25I+Pj8uei7fZbEgmk9jY2MD6+jqAwiKR3+/XbYc6OzvhcDhu9N+j3ho5dhJR/anXbY/Hg8nJSeTzeUSjUezs7GB3dxdra2tYXV3VbYlUsH7dJ5rNhmMn0fWkWgJ3d3dXnd0ZDoebeoOxFMuD80YSQuBzn/uc1ZdxLpWWbtwRVwEn8DotfXR0VAfi56WlV0tKia2tLczPz+P09BTd3d14++23EQqFLv216yWTyWBvb0+nqR8dFXb07HY7gsEgRkdHOYG5BOO5+EAgUPbjVH2GcjvxiUQC8XgcqVQKiUQCiURCnxUCXqfUu93uiufi29ra+HckopZns9n0RPP27dvIZrP6dW53dxfz8/MACpl+xhR4HiMiIirER319fejr6wMAJJNJ0zGi4uxOdWv27M6WDs6bjUppK66Wbqz+rtLSBwcHL5SWXgv14n94eAiPx4N3330XAwMDlgdGxsqNkUgEh4eHkFLqtJW5uTmEw2EEAoGmq4jfyozn1SuRUiKTyeD09BQ7OzvY29vD0dGRDtqTySTsdjvy+Tzy+XzF71MpiG/mIyhERLVyOBzo7+9Hf38/gNdHttTO+vPnzwEU0jzVJJPHiIiICjo6OjAyMoKRkRFIKXFycqID9WfPnunszkAgoMfQnp6epjtGxOC8QapNSw+Hw3VJS6/F4eEh5ufnsbu7C5fLhbfeegsjIyOWBbr5fF73Gt/d3cXBwYFuRaMq4IZCoaZ8AtFZQgi0tbXpHSElHo+bVjTVc6Gzs1MvQrW3t5uq1sdiMezv75uKNhoZz8UXB/DhcPjadBUgIiqmjuQZJ5oqUN/c3MTTp08BAN3d3aaJJhetieimE0Lo48xTU1PI5/M4PDzUY+jq6ipWVlZgt9vR09OD3t5eHZNZvfHD4LwOksnkmd3w4rR0v9+P0dFRHYTXKy29FicnJ1hcXNS9yu/du2dJr3JV0EEVcNvb29Ptwfx+PyYnJ/Ukg8FV63C73RgbG8PY2JjuN68GyZ2dHeRyOX2eKBwOY3x8HN3d3bDZbMjn8xV7xKvnoDEL5XOf+xwfP0TUEowTzVu3bulFbTWGLi8vY3l5GXa73XTW8qbXXiEiAqCzb1UGrjoyq8bQR48eAShs+hhT4K3o7MTgvAbFaekqGDcGBG63Gz6fD0NDQ3pH3Ope6IlEAktLS9jY2LCkV7kKxFSa+t7enm7z5fF49JlxpufdHEII+Hw++Hw+TE9PI5fLmSaaS0tLWFpagsPhME00A4GAaTe+mJRSB+vN1CqPiKieVNG4YDCIO3fuIJ1Om86rb29vA4DOIlK369AOlYio0ZxOp+kYUTweNx0jevbsGYDCMSK1qx4Kha4kdmJwXkY2m8Xx8fGZtmVqh1etYqtCZCoQb6bgslSv8tu3b597Zviy1CKGsb2ZatfV2dmJwcFB/SBv9LXQ9aB2e1QhQjXRVIOkKizncrlME83ix48QQhe3IyK6Kdra2jA4OIjBwUEAr48R7ezsYHt7Gx9//DGAwoK4mmgGg0FmFxERobC5Ojo6itHR0TPZnRsbG3jy5IkpuzMcDuvsznpjcI5CWnpxEF4qLX1sbAx+vx9+vx8ej6dpzz9ns1k8efIEKysrV9arPBaLmYJx1Xvd5XKZVpy4m0nVKJ5oxmIxU6C+ubkJAPD5fKbewA4HhzQiouJjREdHR3oMffr0KR4/fgwhhO4NzCKrREQFF83u9Hq9dfn+N2omq3Z0iwPxZk9Lr5bqVb64uIhkMom+vj7cuXOnIb3KVRVZdYvFYgAKZzXUDqhq+XIdfnfU3Do7OzExMYGJiQlIKRGNRvWu0JMnT7C2tqbPExknmnzsEdFNJ4TQGwszMzOmjig7OztYXFzE4uKinmi+8847Tbv5QER01arJ7uzp6cFnP/vZuny/lg7Oc7kcNjc3TdXSi9PSe3t7TdXSmyktvVpSSrx48QILCwu6V/mnP/3puvYqT6VS2Nvb0+fGVWaB0+lEMBjE1NQUQqEQi89Qw6kq/qqSfzabxf7+vh4kFxYWsLCwgF/6pV+Cz+ez+nKJiJqK3W7Xi5h3795FKpXSE81EIsHAnIioglLZneW6Cl1ESwfnNpsNP/3pT2Gz2eD3+zE+Pq6D8GZOS6+FsVe51+vFZz7zGfT39186QFZVDFWBmaOjIwCFF/VgMKiLuPn9fgbjZCmHw4He3l709vYCKBxT2dvbq1t6ERFRK2tvb8fQ0BCGhoasvhQiomuns7MTnZ2ddft6LR2cCyHwuc99Dh0dHS0XQBp7lbvdbty/fx8jIyMX/jmNaW6RSASHh4eQUupU4bm5OZ5Jo2uho6ODk0wiIiIiunZaOjgH0HJVm09OTrCwsIAXL16gra0Nb7zxBiYmJmrOAlA9UtXO+MHBAfL5vE4ZnpmZQSgUQk9PT0tkGBARERERETWzlg/OW0Vxr/Lbt2/j1q1bVbdBkVLi8PBQF3Db29vT5+/9fj8mJycRDofR09PD1ipERERERERXjMF5k0un01hZWcHjx48hpcTExARmZ2fP7Q+uevSpNPW9vT1kMhkAhT6n6sx4KBS6lkXwiIiIiIiIWgmD8yZV3Kt8ZGQEc3NzZQsOqDZxxvZmqVQKQKFQweDgoA7GzwvsiYiIiIiI6GoxOG8y+XweGxsbWFpa0r3K7969W7IlVDwe1zvjkUgEiUQCQOGcfW9vr+7JV88KgkRERERERFR/DM6bRHGv8p6eHrzzzjsIBoP6Y5LJpC7gFolEEIvFABT67ald8VAohK6urparTk9ERERERNTKGJw3gZ2dHczPzyMajZp6lWcyGbx48UIH5CcnJwAAp9OJYDCoi7h5vV4G40RERERERNcYg3MLHRwcYH5+HpFIBG63G5/85CfR0dGBvb09LC0tIRqNAgDsdjuCwaAu4ub3+xmMExERERERtRAG5xYw9ip3OBwIh8PIZDJ4+PAhpJSw2Wzo6enB3NwcQqEQuru7YbPZrL5sIiIiIiIiahAG51coFovh4cOH2N7e1jvf2WwWkUgEgUAA09PTCIVCCAaDsNvtFl8tERERERERXRUG5w0kpUQ0GsXW1hY+/vhjxONxfZ/H49EV1YPBIJxOp4VXSkRERERERFZicF5HUkocHx+bKqpns1l9f1dXF6ampjA0NIT29nYLr5SIiIiIiIiaCYPzS5BS4vT0VPcZj0QiSKVSAArtzaSUAIBwOIw33nijZK9yIiIiIiIiIgbnNYrH46ad8UQiAQDo6OhAKBSC0+nEzs4O4vE4enp6cPfuXVOvciIiIiIiIqJiDM7PkUwm9a747u4uYrEYgMLOeCgUQjgcRjAYRDwex8LCgu5V/jM/8zPo6+tjyzMiIiIiIiI6F4PzIul02pSmfnx8DABwOp0IBoOYnJxEOByG1+uFEAIHBwd4+PCh7lX+9ttvY3h4mEE5ERERERERVe3GB+eZTAZ7e3s6GI9GowAAu92OYDCIkZERhMNh+P1+U8B9fHyMhYUFbG1tob29HZ/4xCcwPj7OFmhERERERERUsxsXnOdyOezv7+s09cPDQ0gpYbPZ0NPTg7m5OYRCIXR3d8Nms535/Hg8jqWlJWxsbMDhcGBubg5TU1NshUZEREREREQX1vLBeT6fx8HBgd4Z39/fRz6fhxACgUAA09PTutd4pV3vVCqFlZUVPHnyBAAwNTWF2dlZtkQjIiIiIiKiS2vp4DyTyeDb3/627jXu9/sxOTmpg/Fqdruz2SweP36MlZUVZLNZjI6O4vbt2+js7Gz05RMREREREdEN0dLBudPpxPT0NLxeL4LBYE273Pl8Huvr61heXkYymUR/fz/u3LnDXuVERERERERUdy0dnAPA7du3a/p4KSWeP3+OhYUFxGIx9PT04J133mGvciIiIiIiImqYlg/OqyWlxM7ODubn53F0dASfz8de5URERERERHQlGJwD2N/fx8LCAnuVExERERERkSVudHBeqlf5xMREyRZqRERERERERI1yI4PzeDyOxcVFbG5u6l7lt27dgsNxI38dREREREREZLEbFY2yVzkRERERERE1oxsRnLNXORERERERETWzlg7OVa/ypaUlpFIp9Pf34+7du/B6vVZfGhEREREREZHW0sF5NpvFwsICfD4fPvOZz6Cnp8fqSyIiIiIiIiI6o6WD87a2Nrz33ntwu91si0ZERERERERNq6WDcwA8V05ERERERERNjw29iYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYgzOiYiIiIiIiCzG4JyIiIiIiIjIYkJKafU11EQIEQGwWeOnBQHsNeByqPnxb38zXeTvPiqlDDXiYpoBx06qAf/uNxfHziIXGDv5/Lm5+Le/ueo2dl674PwihBA/klLet/o66Orxb38z8e9eH/w93kz8u99c/NtfHn+HNxf/9jdXPf/2TGsnIiIiIiIishiDcyIiIiIiIiKL3ZTg/J9ZfQFkGf7tbyb+3euDv8ebiX/3m4t/+8vj7/Dm4t/+5qrb3/5GnDknIiIiIiIiamY3ZeeciIiIiIiIqGm1dHAuhJgVQvxACJESQvym1ddDV0cI8XkhxIoQ4rEQ4r+1+nroaggh/lAIsSuEmLf6Wq4zjp03F8fOm4ljZ31w7Ly5OHbeTI0YO1s6OAdwAOArAP4nqy+Ero4Qwg7g9wF8AcAcgC8LIeasvSq6In8M4PNWX0QL4Nh5A3HsvNH+GBw764Fj5w3EsfNG+2PUeexs6eBcSrkrpfwhgIzV10JX6tMAHkspn0op0wC+DuDvWnxNdAWklH+BwuSILoFj543FsfOG4thZHxw7byyOnTdUI8bOlg7O6cYaBPDM8P/nr95HRETlcewkIqodx06qGwbnRERERERERBZrueBcCPFfCSEevroNWH09ZIkXAIYN/x969T4iKoNjJ4FjJ1HNOHYSOHZSHbVccC6l/H0p5ZuvbltWXw9Z4ocAbgkhxoUQbQD+PoBvWXxNRE2NYyeBYydRzTh2Ejh2Uh0JKaXV19AwQog+AD8C4AWQB3AKYE5KeWzphVHDCSG+COB/BmAH8IdSyv/R2iuiqyCE+BcAPgsgCGAHwG9JKf8PSy/qGuLYeXNx7LyZOHbWB8fOm4tj583UiLGzpYNzIiIiIiIiouug5dLaiYiIiIiIiK4bBudEREREREREFmNwTkRERERERGQxBudEREREREREFmNwTkRERERERGQxBufU0oQQ/7UQwm31dRARXSccO4mIasNxk+qBrdSopQkhNgDcl1Lu1fA5dillrnFXRUTU3Dh2EhHVhuMm1QN3zulaEEL8N0KIr7x6+/eEEH/26u2/I4T4P4UQ/5sQ4kdCiAUhxG+/uu8rAAYA/LkQ4s9fve99IcQPhBA/FkL8X0KIrlfv3xBC/K4Q4scAftWSH5KIqM44dhIR1YbjJlmJwTldF98D8HOv3r4PoEsI4Xz1vr8A8N9JKe8DeAPALwgh3pBS/i8AtgD8opTyF4UQQQD/PYBfklJ+CsCPAPyG4XvsSyk/JaX8+hX9TEREjcaxk4ioNhw3yTIOqy+AqEp/A+AtIYQXQArAj1EYMH8OwFcA/MdCiF9D4THdD2AOwE+Lvsa7r97/H4QQANAG4AeG+7/RyB+AiMgCHDuJiGrDcZMsw+CcrgUpZUYIsQ7gPwfwlygMgr8IYApAAsBvAnhbSnkohPhjAB0lvowA8G+llF8u821i9b5uIiIrcewkIqoNx02yEtPa6Tr5HgoD4l+8evu/BPC3ALwoDHJHQoheAF8wfM4JAM+rt/8/AD8rhJgCACFEpxBi+oqunYjIKhw7iYhqw3GTLMHgnK6T76GQPvQDKeUOgCSA70kpf4LCgLkM4J8D+A+Gz/lnAP5fIcSfSykjKKyC/gshxE9RSC+avcLrJyKyAsdOIqLacNwkS7CVGhEREREREZHFuHNOREREREREZDEG50REREREREQWY3BOREREREREZDEG50REREREREQWY3BOREREREREZDEG50REREREREQWY3BOREREREREZDEG50REREREREQW+/8B1oHPyH6TfdsAAAAASUVORK5CYII=\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# ================\n", + "# Plot without interactions\n", + "\n", + "# Prior\n", + "alpha_prior = np.random.normal(0.5, 0.25, 20)\n", + "beta_w_prior = np.random.normal(0, 0.25, 20)\n", + "beta_s_prior = np.random.normal(0, 0.25, 20)\n", + "\n", + "water_seq = np.linspace(-1, 1, 30)\n", + "\n", + "fig = plt.figure(figsize=(17, 6))\n", + "\n", + "gs = GridSpec(1, 3)\n", + "\n", + "shade_cent_values = [-1, 0, 1]\n", + "\n", + "ax = [None] * len(shade_cent_values)\n", + "\n", + "for j, shade_plot_aux in enumerate(shade_cent_values):\n", + " ax[j] = fig.add_subplot(gs[j])\n", + "\n", + " for i in range(len(alpha_prior)):\n", + " mu = alpha_prior[i] + \\\n", + " beta_w_prior[i] * water_seq + \\\n", + " beta_s_prior[i] * (shade_plot_aux)\n", + "\n", + " ax[j].plot(water_seq, mu, c='gray')\n", + " ax[j].set_ylim(0, 1)\n", + " ax[j].set_title(f'8.4 prior: Shade = ${shade_plot_aux}$')\n", + " ax[j].set_xlabel('water')\n", + " ax[j].set_ylabel('blooms')\n", + " ax[j].set_xticks(shade_cent_values, shade_cent_values)\n", + " ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])\n", + " ax[j].set_ylim(-1, 2)\n", + " ax[j].axhline(y=1, ls='--', color='red')\n", + " ax[j].axhline(y=0, ls='--', color='red')\n", + "\n", + " ax[j].plot(\n", + " df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, \n", + " df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, \n", + " 'o', c='blue')\n", + " \n", + "plt.show()\n", + "\n", + "# ================\n", + "# Plot with interactions\n", + "\n", + "# Prior\n", + "alpha_prior = np.random.normal(0.5, 0.25, 20)\n", + "beta_w_prior = np.random.normal(0, 0.25, 20)\n", + "beta_s_prior = np.random.normal(0, 0.25, 20)\n", + "beta_ws_prior = np.random.normal(0, 0.25, 20)\n", + "\n", + "water_seq = np.linspace(-1, 1, 30)\n", + "\n", + "fig = plt.figure(figsize=(17, 6))\n", + "\n", + "gs = GridSpec(1, 3)\n", + "\n", + "shade_cent_values = [-1, 0, 1]\n", + "\n", + "ax = [None] * len(shade_cent_values)\n", + "\n", + "for j, shade_plot_aux in enumerate(shade_cent_values):\n", + " ax[j] = fig.add_subplot(gs[j])\n", + "\n", + " for i in range(len(alpha_prior)):\n", + " mu = alpha_prior[i] + \\\n", + " beta_w_prior[i] * water_seq + \\\n", + " beta_s_prior[i] * (shade_plot_aux) + \\\n", + " beta_ws_prior[i] * water_seq * (shade_plot_aux)\n", + "\n", + " ax[j].plot(water_seq, mu, c='gray')\n", + " ax[j].set_ylim(0, 1)\n", + " ax[j].set_title(f'8.5 post: Shade = ${shade_plot_aux}$')\n", + " ax[j].set_xlabel('water')\n", + " ax[j].set_ylabel('blooms')\n", + " ax[j].set_xticks(shade_cent_values, shade_cent_values)\n", + " ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])\n", + " ax[j].set_ylim(-1, 2)\n", + " ax[j].axhline(y=1, ls='--', color='red')\n", + " ax[j].axhline(y=0, ls='--', color='red')\n", + "\n", + " ax[j].plot(\n", + " df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, \n", + " df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, \n", + " 'o', c='blue')\n", + " \n", + "plt.show()" + ] + } + ], + "metadata": { + "celltoolbar": "Tags", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/parte_9.ipynb b/_sources/parte_9.ipynb new file mode 100644 index 0000000..fa7dcc1 --- /dev/null +++ b/_sources/parte_9.ipynb @@ -0,0 +1,382 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7660b2c7", + "metadata": {}, + "source": [ + "# 9 - Markov Chain Monte Carlo" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2cea1405", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from scipy import stats\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.gridspec import GridSpec\n", + "\n", + "import pandas as pd\n", + "\n", + "import networkx as nx\n", + "# from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "import arviz as az\n", + "# ArviZ ships with style sheets!\n", + "# https://python.arviz.org/en/stable/examples/styles.html#example-styles\n", + "az.style.use(\"arviz-darkgrid\")\n", + "\n", + "import xarray as xr\n", + "\n", + "import stan\n", + "import nest_asyncio\n", + "\n", + "plt.style.use('default')\n", + "plt.rcParams['axes.facecolor'] = 'lightgray'\n", + "\n", + "# To DAG's\n", + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "449b2877", + "metadata": {}, + "outputs": [], + "source": [ + "# Add fonts to matplotlib to run xkcd\n", + "\n", + "from matplotlib import font_manager\n", + "\n", + "font_dirs = [\"fonts/\"] # The path to the custom font file.\n", + "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n", + "\n", + "for font_file in font_files:\n", + " font_manager.fontManager.addfont(font_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2774f695", + "metadata": {}, + "outputs": [], + "source": [ + "# To make plots like drawing \n", + "# plt.xkcd()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6f4405d9", + "metadata": {}, + "outputs": [], + "source": [ + "# To running the stan in jupyter notebook\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "c807993a", + "metadata": {}, + "source": [ + "### R Code 9.1" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0a0ff53a", + "metadata": {}, + "outputs": [], + "source": [ + "num_weeks = 10000\n", + "\n", + "positions = np.zeros(num_weeks, dtype=int)\n", + "\n", + "current = 10\n", + "\n", + "for i in range(num_weeks):\n", + " # Record current position\n", + " positions[i] = current\n", + " \n", + " # F/lip coin to generate proposal\n", + " proposal = current + np.random.choice([-1, 1], size=1)\n", + " \n", + " # Now make sure he loops around the archipelago\n", + " if proposal < 1: \n", + " proposal = 10\n", + " \n", + " if proposal > 10:\n", + " proposal = 1\n", + " \n", + " # Move?\n", + " prob_move = proposal / current\n", + " \n", + " if np.random.uniform(0, 1) < prob_move:\n", + " current = proposal\n", + " else:\n", + " current = current" + ] + }, + { + "cell_type": "markdown", + "id": "0e922932", + "metadata": {}, + "source": [ + "### R Code 8.2" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "793936d3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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TWaep1LFIy7YN2d2itrN2wDxVd4+u4YpOnDjRp06dGl0GLKX1za2c3jibtdVjLrcCJmVK/dO8apnKOk2ljkVatm3I7ha1nbUDrsba2tqd3X1yt3ECOQAAAOyTywVyl6wDAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADDAkkFfVQ6rqNVX1B1W1XlVfPqIOAAAAGGXUGfKXJvnF7n5Mki9Ksj6oDmAP1je3cttd92R9c2voPIBpmNf+PJW+ZUr905S+W+C+sR+yFyuLXmBVPTjJE5P8oyTp7k8k+cSi6wD2Zn1zKzffvpFz5zsrRyu33LSaG6+/buHzAKZhXvvzVPqWKfVPU/pugfvGfshejThD/qgkm0l+oqreVlWvqKoH7Jyoqp5fVXdU1R1nzpxZfJVAkuT0xtmcO9+5kOTchc7pjbND5gFMw7z256n0LVPqn6b03QL3jf2QvRoRyFeSPD7Jy7v7S5J8PMmLd07U3bd298nuPnn8+PFF1wjMrK0ey8rRypFKVo5U1laPDZkHMA3z2p+n0rdMqX+a0ncL3Df2Q/aqunuxC6z6z5O8pbsfOXv/VUle3N1Pu9RnTpw40adOnVpQhcBO65tbOb1xNmurx675cqt5zAOYhnntz1PpW6bUP03puwXuG/sh91pbW7uzu0/uNm7hgTxJqurXknxzd/9hVX1fkgd09z+/1PQCOQAAAAfR5QL5wh/qNvOtSX6mqu6X5E+TPHdQHQAAADDEngJ5VVXvOJVeVdd19zU9w7+7fzfJrv+HAAAAAA6DvT7U7ccvflNVD0zyf8+/HAAAADgc9hrI31tVP5okVXU8yS8l+el9qwoAAACW3J4CeXf/yyQfq6r/Ldth/N9190/sa2UAAACwxC57D3lV/f2L3r41yfck+Y9Juqr+fne/dj+LAwAAgGV1pYe6fc2O929L8hmz4Z1EIAcAAIBrcNlA3t3+HBkAAADsgz3dQ15Vf6Oq3lhVd83e/xdV9T/ub2kAAACwvPb6lPUfS/LdST6ZJN39+0meuV9FAQAAwLLbayC/f3f/xx3Dzs27GAAAADgs9hrIP1RVX5DtB7mlqr42yd37VhUAAAAsuSs9Zf1e35Lk1iSPqar3JfmzJM/et6oAAABgye0pkHf3nya5qaoekORId390f8sCAACA5bbXp6yvVtWPJ3lNd3+0qh5bVc/b59oAAABgae31HvJXJXlDkhtm7/8oyYv2oR4AAAA4FPYayB/a3bcluZAk3X0uyfl9qwoAAACW3F4D+cer6rPzV09Zf0KSe/atKgAAAFhyl32oW1W9KMlvJvmuJL+Q5POr6jeSXJ/kH+x7dQAAALCkrvSU9Ycn+eEkj0nyB0l+Ocmbk7y6uz+0v6UBAADA8rpsIO/u70ySqrpfkpNJviLJk5J8d1V9pLsfu+8VAgAAwBLa098hT/KZSR6U5MGz/96f5PR+FQUAAADL7kr3kN+a5ESSjyZ5a7bvJ39Jd59ZQG0AAACwtK70lPXPTXJdkg8keV+S9yb5yD7XBAAAAEvvSveQP7WqKttnyb8iyXckeVxVfTjJb3X39y6gRgAAAFg6V7yHvLs7yV1V9ZFs/+3xe5I8PcmXJhHIAQAA4Bpc6R7yF2T7zPhXJPlktu8h/80kr4yHugEAAMA1u9IZ8kcm+T+TfFt3373/5QAH1frmVk5vnM3a6rHceP11w+YxpeXAok1pP5zSfjalWuZh2dYHDjP7M1e6h/zbF1UIcHCtb27l5ts3cu58Z+Vo5ZabVq/6oDKPeUxpObBoU9oPp7SfTamWeVi29YHDzP5McuWnrANc0emNszl3vnMhybkLndMbZ4fMY0rLgUWb0n44pf1sSrXMw7KtDxxm9mcSgRyYg7XVY1k5WjlSycqRytrqsSHzmNJyYNGmtB9OaT+bUi3zsGzrA4eZ/Zkkqe2HqE/biRMn+tSpU6PLAC5jSveuTmU5sGhT2g+ntJ9NqZZ5WLb1gcPM/nw4rK2t3dndJ3cbJ5ADAADAPrlcIHfJOgAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAwwJ5VR2tqrdV1etH1QAAAACjjDxD/sIk6wOXDxxA65tbue2ue7K+uXVN4+e1HMbay/aZ0jacR73aNsDhpN9ebisjFlpVD0/ytCS3JPn2ETUAB8/65lZuvn0j5853Vo5WbrlpNTdef92ex89rOYy1l+0zpW04j3q1bYDDSb+9/EadIf/hJN+V5MKlJqiq51fVHVV1x5kzZxZWGDBdpzfO5tz5zoUk5y50Tm+cvarx81oOY+1l+0xpG86jXm0b4HDSby+/hQfyqnp6kg92952Xm667b+3uk9198vjx4wuqDpiytdVjWTlaOVLJypHK2uqxqxo/r+Uw1l62z5S24Tzq1bYBDif99vKr7l7sAqu+P8k/THIuybEkD0ry2u5+9qU+c+LEiT516tSCKgSmbH1zK6c3zmZt9diul2xdafy8lsNYe9k+U9qG86hX2wY4nPTbB9/a2tqd3X1yt3ELD+SfsvCqJyX5zu5++uWmE8gBAAA4iC4XyP0dcgAAABhgyFPW79Xdb0ryppE1AAAAwAjOkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjkAAAAMIJADAADAAAI5AAAADCCQAwAAwAACOQAAAAwgkAMAAMAAAjnANVrf3Mptd92T9c2taxq/yOXMq5YrWdQ6z8s8lrOoWgFgNwft2MunWhldAMBBtL65lZtv38i5852Vo5VbblrNjddft+fxi1zOvGq5r7Uuej6LWM6iagWA3Ry0Yy+fzhlygGtweuNszp3vXEhy7kLn9MbZqxq/yOXMq5b7Wuui57OI5SyqVgDYzUE79vLpBHKAa7C2eiwrRytHKlk5UllbPXZV4xe5nHnVcl9rXfR8FrGcRdUKALs5aMdePl119+garujEiRN96tSp0WUAfIr1za2c3jibtdVju17WdaXxi1zOvGq5r7Uuej6LWM6iagWA3Ry0Y+9htLa2dmd3n9xtnEAOAAAA++Rygdwl6wAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADLDyQV9UjqupXq+odVfX2qnrhomsAAACA0UacIT+X5Du6+7FJnpDkW6rqsQPqABhufXMrt911T9Y3t0aXsqda5lHvlNZ5Lw5avQCw02E8fh8UK4teYHffneTu2euPVtV6kocleceiawEYaX1zKzffvpFz5zsrRyu33LSaG6+/brK1zKPeKa3zXhy0egFgp8N4/D5Iht5DXlWPTPIlSd66y7jnV9UdVXXHmTNnFl4bwH47vXE25853LiQ5d6FzeuPspGuZR71TWue9OGj1AsBOh/H4fZAMC+RV9cAkP5fkRd39FzvHd/et3X2yu08eP3588QUC7LO11WNZOVo5UsnKkcra6rFJ1zKPeqe0zntx0OoFgJ0O4/H7IKnuXvxCqz4jyeuTvKG7X3Kl6U+cONGnTp3a/8IAFmx9cyunN85mbfXY8Eu/9lLLPOqd0jrvxUGrFwB2OozH7ylZW1u7s7tP7jZu4YG8qirJTyb5cHe/aC+fEcgBAAA4iC4XyEdcsv6VSf5hkidX1e/O/vt7A+oAAACAYUY8Zf3Xk9SilwsAAABTMvQp6wAAAHBYCeQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAAAAwgEAOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCORLan1zK7fddU/WN7dGlwIAABwCMsjVWxldAPO3vrmVm2/fyLnznZWjlVtuWs2N1183uiwAAGBJySDXxhnyJXR642zOne9cSHLuQuf0xtnRJQEAAEtMBrk2AvkSWls9lpWjlSOVrByprK0eG10SAACwxGSQa+OS9SV04/XX5ZabVnN642zWVo+5VAQAANhXMsi1EciX1I3XX2cnAAAAFkYGuXouWQcAAIABBHIAAAAYQCAHAACAAQRyAAAAGEAgBwAAgAEEcgAAABhAIAcAAIABBHIAAAAYQCAHAACAAQRyAAAAGEAgBwAAgAGqu0fXcEVVtZnkXaPr2KOHJvnQ6CLgKmm3HETaLQeVtstBpN1yEE2l3X5ed1+/24gDEcgPkqq6o7tPjq4DroZ2y0Gk3XJQabscRNotB9FBaLcuWQcAAIABBHIAAAAYQCCfv1tHFwDXQLvlINJuOai0XQ4i7ZaDaPLt1j3kAAAAMIAz5AAAADCAQD4nVfXUqvrDqvqTqnrx6HrgUqrqEVX1q1X1jqp6e1W9cDb8s6rql6vqj2f/Hh9dK+xUVUer6m1V9frZ+0dV1Vtnfe+pqrrf6BrhYlX1kKp6TVX9QVWtV9WX62+Zuqr6ttlvhLuq6tVVdUx/yxRV1Sur6oNVdddFw3btY2vby2Zt+Per6vHjKv8rAvkcVNXRJP8+yVcneWySZ1XVY8dWBZd0Lsl3dPdjkzwhybfM2uuLk7yxux+d5I2z9zA1L0yyftH7f5Pkh7r7ryc5k+R5Q6qCS3tpkl/s7sck+aJst1/9LZNVVQ9L8oIkJ7v7cUmOJnlm9LdM06uSPHXHsEv1sV+d5NGz/56f5OULqvGyBPL5+NIkf9Ldf9rdn0jys0meMbgm2FV3393dvzN7/dFs/zh8WLbb7E/OJvvJJP/NkALhEqrq4UmeluQVs/eV5MlJXjObRLtlUqrqwUmemOTHk6S7P9HdH4n+lulbSfKZVbWS5P5J7o7+lgnq7jcn+fCOwZfqY5+R5Kd621uSPKSqPmchhV6GQD4fD0vynovev3c2DCatqh6Z5EuSvDXJanffPRv1gSSro+qCS/jhJN+V5MLs/Wcn+Uh3n5u91/cyNY9KspnkJ2a3Wryiqh4Q/S0T1t3vS/KDSd6d7SB+T5I7o7/l4LhUHzvJzCaQwyFVVQ9M8nNJXtTdf3HxuN7+8wv+BAOTUVVPT/LB7r5zdC1wFVaSPD7Jy7v7S5J8PDsuT9ffMjWz+22fke3/oXRDkgfk0y8JhgPhIPSxAvl8vC/JIy56//DZMJikqvqMbIfxn+nu184Gb9x72c7s3w+Oqg928ZVJ/uuqeme2bwt6crbvzX3I7JLKRN/L9Lw3yXu7+62z96/JdkDX3zJlNyX5s+7e7O5PJnlttvtg/S0HxaX62ElmNoF8Pn47yaNnT5+8X7YffPG6wTXBrmb33f54kvXufslFo16X5Jtmr78pyS8suja4lO7+7u5+eHc/Mtt97K909zcm+dUkXzubTLtlUrr7A0neU1VfOBv0lCTviP6WaXt3kidU1f1nvxnubbf6Ww6KS/Wxr0vynNnT1p+Q5J6LLm0fprbP4nNfVdXfy/b9jUeTvLK7bxlbEeyuqv52kl9Lcjp/dS/u/5Dt+8hvS/K5Sd6V5Ou6e+dDMmC4qnpSku/s7qdX1edn+4z5ZyV5W5Jnd/fWwPLgU1TVF2f7QYT3S/KnSZ6b7RMi+lsmq6r+VZKvz/ZfZnlbkm/O9r22+lsmpapeneRJSR6aZCPJ9yb5+ezSx87+B9OPZPsWjL9M8tzuvmNA2Z9CIAcAAIABXLIOAAAAAwjkAAAAMIBADgAAAAMI5AAAADCAQA4AAAADCOQAsCSq6mNXGP/OqnroIpYFAFyZQA4AAAADCOQAsGSq6nOq6s1V9btVdVdVfdUu0/x8Vd1ZVW+vqudfNPxjVXVLVf1eVb2lqlZnwx9VVb9VVaer6n9e5PoAwLISyAFg+XxDkjd09xcn+aIkv7vLNP9td//NJCeTvKCqPns2/AFJ3tLdX5TkzUn+8Wz4S5O8vLvXkty9j7UDwKEhkAPA8vntJM+tqu9LstbdH91lmhdU1e8leUuSRyR59Gz4J5K8fvb6ziSPnL3+yiSvnr3+3/ehZgA4dARyAFgy3f3mJE9M8r4kr6qq51w8vqqelOSmJF8+OxP+tiTHZqM/2d09e30+ycrFs97HsgHg0BHIAWDJVNXnJdno7h9L8ookj98xyYOTnOnuv6yqxyR5wh5m+xtJnjl7/Y1zKxYADjGBHACWz5OS/F5VvS3J12f7/u+L/WKSlapaT/ID2b5s/UpemORbqup0kofNsVYAOLTqr65KAwAAABbFGXIAAAAYQCAHAACAAQRyAAAAGEAgBwAAgAEEcgAAABhAIAcAAIABBHIAAAAYQCAHAACAAf4/y+w4jbY6kiQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.plot(np.arange(0, 100, dtype=int), positions[0:100], 'o', ms=3)\n", + "plt.title('King Markov visits')\n", + "plt.xlabel('Island')\n", + "plt.ylabel('Week')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2fbee26f", + "metadata": {}, + "source": [ + "### R Code 9.3" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ee0ac142", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.hist(positions, rwidth=0.9)\n", + "plt.title('King Markov visits')\n", + "plt.xlabel('Island')\n", + "plt.ylabel('Number of weeks')\n", + "\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c271859b", + "metadata": {}, + "source": [ + "### R Code 9.4" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c3bc60f7", + "metadata": {}, + "outputs": [], + "source": [ + "def multivariate_normal(D, T=1000):\n", + " \"\"\" Return the Gaussian Multivariate standart D-dimensional \n", + " \n", + " Parameter:\n", + " ===========\n", + " D: integer\n", + " D is the dimension of the Gaussian Multivariate\n", + " \n", + " T: Integer; default=1000\n", + " Qty samples\n", + " \"\"\"\n", + " means = np.repeat(0, D) \n", + " diag = np.diag(np.repeat(1, D))\n", + " return np.random.multivariate_normal(means, diag, T)\n", + "\n", + "\n", + "def rad_dist(Y):\n", + " \"\"\" Return the distance radial from the mode\n", + " \n", + " Parameter:\n", + " ===========\n", + " Y: Multivariate Normal Starndart\n", + " \"\"\"\n", + " return np.sqrt(np.sum(np.power(Y, 2)))\n", + "\n", + "\n", + "def get_radial_distances(D, T=1000):\n", + " \"\"\" Return the array of distances of Gaussian Multivariate standart D-dimensional from mode \n", + " \n", + " Parameter:\n", + " ===========\n", + " D: integer\n", + " D is the dimension of the Gaussian Multivariate\n", + " \n", + " T: Integer; default=1000\n", + " Qty samples\n", + " \"\"\"\n", + " Y = multivariate_normal(D, T)\n", + " return [rad_dist(Y[i]) for i in range(T)]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e860e730", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(17, 6))\n", + "\n", + "plt.hist(get_radial_distances(1000), alpha=0.3, density=True, rwidth=0.7)\n", + "plt.hist(get_radial_distances(100), alpha=0.3, density=True, rwidth=0.7)\n", + "plt.hist(get_radial_distances(10), alpha=0.3, density=True, rwidth=0.7)\n", + "plt.hist(get_radial_distances(1), alpha=0.3, density=True, rwidth=0.7)\n", + "\n", + "plt.xlabel('Radial Distance from Mode')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3bb38571", + "metadata": {}, + "source": [ + "## Overthinking: Hamilton Monte Carlo in the raw" + ] + }, + { + "cell_type": "markdown", + "id": "e83b48f2", + "metadata": {}, + "source": [ + "### R Code 9.5" + ] + }, + { + "cell_type": "markdown", + "id": "9e5cb3e4", + "metadata": {}, + "source": [ + "### R Code 9.6" + ] + }, + { + "cell_type": "markdown", + "id": "4d6b2d43", + "metadata": {}, + "source": [ + "### R Code 9.7" + ] + }, + { + "cell_type": "markdown", + "id": "25057b8a", + "metadata": {}, + "source": [ + "### R Code 9.8" + ] + }, + { + "cell_type": "markdown", + "id": "2a7e9b7d", + "metadata": {}, + "source": [ + "### R Code 9.9" + ] + }, + { + "cell_type": "markdown", + "id": "39cdc30c", + "metadata": {}, + "source": [ + "### R Code 9.10" + ] + }, + { + "cell_type": "markdown", + "id": "fbf37c09", + "metadata": {}, + "source": [ + "## 9.4 Easy HMC: **ulam**" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/capa.html b/capa.html index e8c0950..5400be3 100644 --- a/capa.html +++ b/capa.html @@ -127,6 +127,51 @@

Statistical Rethinking

5 - Muitas Variáveis e os Waffles Espúrios +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • diff --git a/fonts/README.html b/fonts/README.html new file mode 100644 index 0000000..7738aab --- /dev/null +++ b/fonts/README.html @@ -0,0 +1,279 @@ + + + + + + + + TO install xkcd font family — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    +
    + +
    + +
    +

    TO install xkcd font family

    +

    Download from https://github.com/ipython/xkcd-font

    +

    Install sudo apt-get install fontforge

    +

    RUN xkcd-font/xkcd/build.py

    +
    + + + + +
    + + + +
    +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/fonts/xkcd-script/README.html b/fonts/xkcd-script/README.html new file mode 100644 index 0000000..a3ab62b --- /dev/null +++ b/fonts/xkcd-script/README.html @@ -0,0 +1,281 @@ + + + + + + + + <no title> — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + + + + + +
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    + + + +
    + +
    + + + +
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    + + + + + + + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + + + + + +
    + + + +
    +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/fonts/xkcd/README.html b/fonts/xkcd/README.html new file mode 100644 index 0000000..f5470a8 --- /dev/null +++ b/fonts/xkcd/README.html @@ -0,0 +1,281 @@ + + + + + + + + <no title> — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
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    + + + + + + +
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    + + +
    + +
    + Contents +
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    +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html index da4cae1..d283558 100644 --- a/genindex.html +++ b/genindex.html @@ -119,6 +119,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • diff --git a/objects.inv b/objects.inv index 423dada..b0eda93 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/parte_1.html b/parte_1.html index ebab7c1..b0384b9 100644 --- a/parte_1.html +++ b/parte_1.html @@ -130,6 +130,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • @@ -352,15 +397,16 @@

    1- Introdução

    Antelóquio é o que se diz ou escreve antes; uma apresentação, um preâmbulo, um prólogo.

    Todas as notas desse material foram baseadas nas aulas de 2019 (ACESSE) do curso do Prof. Richard McElreath e também em seu livro (capa acima) Statistical Rethinking - Segunda Edição.

    -

    Escrevi esse material como o intuíto de construir um estudo estruturado e que permita uma boa compreensão das aulas do curso e, por consequência, melhorar as habilidades em programação e exposição de idéias.

    -

    Esse material está sendo escrito tentando preservar os detalhes didáticos que julguei mais importantes da aula para o entendimento futuro. O curso está sendo ministrado na linguagem R. Nesse material, as construções dos modelos foram escritas utilizando a linguagem Python, apenas pela finalidade de aprender fazer todas as construções com as determinadas bibliotecas. Ajuda a ter um entendimento mais concreto do que está acontencendo.

    -

    Tudo que está inserido nesse material está público nos vídeos do curso, as imagens retiradas da internet contém as fontes de referências, caso eu esteja utilizando algum material privado entre em contato!

    -

    Diferenças entre o curso e esse material: esse material foi escrito traduzindo as principais idéias codificadas em R em conjunto com o pacote rethinking para a linguagem python e adicionalmente as suas principais atuais bibliotecas de análise de dados (numpy, scipy, matplotlib) e no lugar do pacote rethinking usei, tanto quanto aprendi, a biblioteca Stan através de sua interface python pystan.

    +

    Escrevi esse material como o intuíto de construir um estudo estruturado e que permita uma boa compreensão das aulas do curso e, consequentemente, melhorar minhas habilidades em programação e na exposição de ideias complexas como é o caso da probabilidade e a estatística bayesiana.

    +

    Esse material está sendo escrito preservando os detalhes didáticos que julguei serem os mais importantes para o entendimento. O curso original foi ministrado usando a linguagem R. já nesse material, todas as construções dos modelos foram reescritas utilizando a linguagem Python, com a finalidade de aprender e reescrever todas as modelagens e gráficos com as bibliotecas do padrão dessa linguagem. A descrição escritas em liguagem ajuda a ter um entendimento mais concreto do que está acontencendo.

    +

    Tudo que está inserido nesse material está público nos vídeos do curso, no github ou materiais de terceiros, assim comos todas as imagens da internet, na qual contém fontes de referências. Caso esteja utilizando algum material privado entre em contato!

    +

    Diferenças entre o curso e esse material: esse material foi escrito traduzindo as principais idéias codificadas em R em conjunto com o pacote rethinking para a linguagem python e adicionalmente as suas principais atuais bibliotecas de análise de dados (numpy, scipy, matplotlib e arviz) e no lugar do pacote rethinking usei, tanto quanto aprendi, a biblioteca Stan através de sua interface python pystan.

    -

    Esse material foi escrtio em lingua portuguesa (Brasil).

    -

    Está disponibilizado no github: https://github.com/rodolphomacedo.

    +

    Esse material foi escrito (em grande parte) em lingua portuguesa (Pt-BR).

    +

    Está disponibilizado em meu github e uma versão em formato E-Book (Jupyter Book) pode ser acessado clicando aqui.

    Erros, sugestões ou dúvidas podem ser enviadas para o email rodolpho.ime@gmail.com

    -

    Bom estudos!!!

    +

    Aos que desejem aprender modelagem bayesiana, espero que esse material forneça um bom caminho introdutório ao assunto.

    +

    Bons estudos!!!

    Requisitos

    diff --git a/parte_10.html b/parte_10.html new file mode 100644 index 0000000..5bfb3d4 --- /dev/null +++ b/parte_10.html @@ -0,0 +1,933 @@ + + + + + + + + 10 - Grande Entropia e Modelos Lineares Generalizados — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    10 - Grande Entropia e Modelos Lineares Generalizados

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    R Code 10.1

    +
    +
    +
    buckets = {
+    "A": (0, 0, 1, 0, 0),
+    "B": (0, 1, 8, 1, 0),
+    "C": (0, 2, 6, 2, 0),
+    "D": (1, 2, 4, 2, 1),
+    "E": (2, 2, 2, 2, 2),
+}
+
+df = pd.DataFrame.from_dict(buckets)
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ABCDE
    000012
    101222
    218642
    301222
    400012
    +
    +
    +
    +
    +

    R Code 10.2

    +
    +
    +
    # Normalize
+
+p_norm = df / df.sum(axis=0)
+p_norm
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ABCDE
    00.00.00.00.10.2
    10.00.10.20.20.2
    21.00.80.60.40.2
    30.00.10.20.20.2
    40.00.00.00.10.2
    +
    +
    +
    +
    +

    R Code 10.3

    +
    +
    +
    def entropy(bucket):
+    uncertainty = []
+    
+    for q in bucket:
+        if q == 0:
+            uncertainty.append(q)
+        else:
+            uncertainty.append(q * np.log(q))
+    
+    return (-1) * np.sum(uncertainty)
+
    +
    +
    +
    +
    +
    +
    H = [entropy(p_norm[key]) for key in p_norm.keys()]
+
+df_H = pd.DataFrame(H).T
+df_H.columns = p_norm.keys()
+df_H
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + +
    ABCDE
    0-0.00.6390320.9502711.4708081.609438
    +
    +
    +
    +
    +

    R Code 10.4

    +
    +
    +
    ways = (1, 90, 1260, 37800, 113400)
+
+logwayspp = np.log(ways) / 10
+
+logwayspp
+
    +
    +
    +
    +
    array([0.        , 0.44998097, 0.7138867 , 1.05400644, 1.16386767])
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(16, 6))
+
+plt.plot(logwayspp, df_H.T.values, '--', c='black')
+plt.plot(logwayspp, df_H.T.values, 'o', ms=10)
+
+plt.title('Entropy in Buckets')
+plt.xlabel('log(ways) per pebble')
+plt.ylabel('entropy')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_10_14_0.png +
    +
    +
    +
    +

    R Code 10.5

    +
    +
    +
    # Build list of canditate distributions
+p = [
+    [1/4, 1/4, 1/4, 1/4],
+    [2/6, 1/6, 1/6, 2/6],
+    [1/6, 2/6, 2/6, 1/6],
+    [1/8, 4/8, 2/8, 1/8],
+]
+
+# Compute the expected values of each
+result = [np.sum(np.multiply(p_i, [0, 1, 1, 2])) for p_i in p]
+result
+
    +
    +
    +
    +
    [1.0, 1.0, 1.0, 1.0]
+
    +
    +
    +
    +
    +
    +

    R Code 10.6

    +
    +
    +
    # Compute the entropy of each distribution
+
+for p_i in p:
+    print(-np.sum(p_i * np.log(p_i)))
+
    +
    +
    +
    +
    1.3862943611198906
+1.3296613488547582
+1.3296613488547582
+1.2130075659799042
+
    +
    +
    +
    +
    +
    +

    R Code 10.7

    +
    +
    +
    p = 0.7
+
+A = [
+    (1-p)**2,
+    p*(1-p),
+    (1-p)*p,
+    (p)**2,
+]
+
+np.round(A, 3)
+
    +
    +
    +
    +
    array([0.09, 0.21, 0.21, 0.49])
+
    +
    +
    +
    +
    +
    +

    R Code 10.8

    +
    +
    +
    - np.sum(A * np.log(A))
+
    +
    +
    +
    +
    1.221728604109787
+
    +
    +
    +
    +
    +
    +

    R Code 10.9

    +
    +
    +
    def sim_p(G=1.4):
+    x = np.random.uniform(0, 1, size=4)
+    x[3] = 0  # Removing the last random number x4
+    
+    x[3] = ( G * np.sum(x) - x[1] - x[2] ) / (2 - G)
+    
+    p = x / np.sum(x)
+    
+    return [-np.sum(p * np.log(p)), p]
+
    +
    +
    +
    +
    +
    +

    R Code 10.10

    +
    +
    +
    H = pd.DataFrame([ sim_p(1.4) for _ in range(10000)], columns=('entropies', 'distributions'))
+
+plt.figure(figsize=(17, 6))
+
+plt.hist(H.entropies, density=True, rwidth=0.9)
+
+plt.title('Entropy - Binomial')
+plt.xlabel('Entropy')
+plt.ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_10_26_0.png +
    +
    +
    +
    +

    R Code 10.11

    +
    +
    +
    # entropies = H.entropies
+# distributions = H.distributions
+
    +
    +
    +
    +
    +
    +

    R Code 10.12

    +
    +
    +
    H.entropies.max()
+
    +
    +
    +
    +
    1.2217257418082403
+
    +
    +
    +
    +
    +
    +

    R Code 10.13

    +
    +
    +
    H.loc[H.entropies == H.entropies.max(), 'distributions'].values
+
    +
    +
    +
    +
    array([array([0.09039858, 0.21007322, 0.20912962, 0.49039858])],
+      dtype=object)
+
    +
    +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    9 - Markov Chain Monte Carlo

    +
    +     + +
    +

    next

    +

    11 - A cravada de Deus e Inteiros

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
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    +

    11 - A cravada de Deus e Inteiros

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    R Code 11.1

    +
    +
    +
    df = pd.read_csv('./data/chimpanzees.csv', sep=';')
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_left
    01NaN012010
    11NaN014001
    21NaN016100
    31NaN018010
    41NaN0110111
    +
    +
    +
      +

    • pulled_left: Outcome \({0, 1}\) - indicator if the animal pulled the left-hand lever.

      • +

    • prosoc_left: Predict \({0, 1}\) - Indicator if left-hand lever was(1) or not(0) the prosocial options.

      • +

    • condition: Predict \({0, 1}\) - Indicator if there is a partner (1) or not (0) in the end table.

      • +
    +
    +
    +

    R Code 11.2

    +
    +
    +
    df['treatment'] = 1 + df['prosoc_left'] + 2 * df['condition']
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
    01NaN0120101
    11NaN0140011
    21NaN0161002
    31NaN0180101
    41NaN01101112
    +
    +
    +
      +

    • treatment= \(1\): prosoc_left = \(0\) and contition= \(0\): Two food items on right and no partner.

      • +

    • treatment= \(2\): prosoc_left = \(1\) and contition= \(0\): Two food items on left and no partner.

      • +

    • treatment= \(3\): prosoc_left = \(0\) and contition= \(1\): Two food items on right and has partner.

      • +

    • treatment= \(4\): prosoc_left = \(1\) and contition= \(1\): Two food items on left and has partner.

      • +
    +
    +
    +

    R Code 11.3

    +
    +
    +
    df.pivot_table(['prosoc_left', 'condition'], 'treatment', aggfunc='count', margins=True)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    conditionprosoc_left
    treatment
    1126126
    2126126
    3126126
    4126126
    All504504
    +
    +
    +
    +
    +
    def logit(p):
+    return np.log(p) - np.log(1 - p)
+
+def inv_logit(p):
+    return np.exp(p) / (1 + np.exp(p))
+
    +
    +
    +
    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{ACTOR[i]} + \beta_{TREATEMENT[i]} \]
    +
    +\[ \alpha_j \sim \mbox{to be determined} \]
    +
    +\[ \beta_k \sim \mbox{to be determined} \]
    +

    Entendimento::

    +
      +

    • Likelihood:

      +

      Para esse caso os dados da resposta, outcome, são do tipo binários \(0\) ou \(1\). A função de likelihood apropriada para esses caso é a \(Bernoulli(p)\), ou no caso \(Binomial(1, p)\).

      +

      Como \(p\) é uma probabilidade, está entre \(0\) e \(1\), usamos uma função de ligação para transformar os resultados dos preditores para a escala de probabilidade. Nesse caso a função que faz essa transformação é:

      +
      • +
    +
    +\[ logit(p) = log(\frac{p}{1-p}) \]
    +
      +

    • Parameter \(\alpha\):

      +

      Na função de ligação o parâmetro \(\alpha\) é na verdade definido no modelo como um vetor (vector). O que estamos modelando aqui é que existe um parâmetro \(\alpha\) para cada chimpanzé, ou seja, para cada actor.

      +
      +\[ \alpha[1] := \mbox{ Para o chimpanzé } 1 \]
      +
      +\[ \alpha[2] := \mbox{ Para o chimpanzé } 2 \]
      +
      +\[ \alpha[3] := \mbox{ Para o chimpanzé } 3 \]
      +
      +\[ \alpha[4] := \mbox{ Para o chimpanzé } 4 \]
      +
      +\[ \alpha[5] := \mbox{ Para o chimpanzé } 5 \]
      +
      +\[ \alpha[6] := \mbox{ Para o chimpanzé } 6 \]
      +
      +\[ \alpha[7] := \mbox{ Para o chimpanzé } 7 \]
      +

      Cada um dos parâmetros \(\alpha\) tem um priori \(Normal(\mu_i, \sigma_i)\) e essas prioris são idênticas.

      +

      O que estamos inferindo com cada um desses \(\alpha\)’s é a localização (\(\mu_i\)) de cada uma das prioris e seu desvio padrão (\(\sigma_i\))

      +
      • +

    • Parameter \(\beta\):

      +

      O \(\beta\) é a representação de um vetor de \(\beta\)’s que mapeiam cada um dos tratamentos:

      +
      +\[ \beta[1] := \mbox{ Para o tratamento } 1 \]
      +
      +\[ \beta[2] := \mbox{ Para o tratamento } 2 \]
      +
      +\[ \beta[3] := \mbox{ Para o tratamento } 3 \]
      +
      +\[ \beta[4] := \mbox{ Para o tratamento } 4 \]
      +

      No experimento existe uma hipóstese a ser testada: Os chimpanzés tendem a puxar mais a alavanca do lado pro-social quando tem um outro chimpanzé do outro lado da mesa, o partner?

      +

      Os \(\alpha\)’s são independentes entre eles, porém quando colocamos os \(\beta\)’s estamos medindo qual é a inteção conjunta dos chimpanzés em cada tratamento.

      +

      A variável tratamento (treatment) é a construção de uma variável sintética que indexa o conjunto de duas variáveis {prosoc_left, condition}, isto é, a interação entre elas. Então temos que a variável \(treatment = 1\) indica que o experimento foi realizado usando dois pratos com comida no lado direito e que não tinha parceiro.

      +

      Portando \(\beta_{treatment = 1}\) terá o valor do efeito de todos os experimentos que os chimpanzés fizeram nesse tipo de tratamento.

      +
      • +
    +
    +
    +

    R Code 11.4

    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \alpha \]
    +
    +\[ \alpha \sim Normal(0, \omega) \]
    +

    \(\omega = 10\) to start

    +
    +
    +
    # Creating data list to model
+data_list_partial = df[['pulled_left', 'actor']].to_dict('list')
+data_list_partial['N'] = len(df)
+data_list_partial['qty_chimpanzees'] = len(df.actor.unique())
+
+data_list_partial.keys()
+
    +
    +
    +
    +
    dict_keys(['pulled_left', 'actor', 'N', 'qty_chimpanzees'])
+
    +
    +
    +
    +
    +
    +
    model_partial = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int pulled_left[N];
+        int actor[N];
+    }
+    
+    parameters {
+        vector[qty_chimpanzees] alpha;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Prioris
+        alpha ~ normal(0, 10);
+        
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+"""
+
+posteriori_partial = stan.build(model_partial, data=data_list_partial)
+samples_partial = posteriori_partial.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    az.summary(samples_partial, var_names=['alpha'], hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]-0.3380.238-0.6880.0630.0040.0033019.01984.01.0
    alpha[1]11.0985.2053.85618.1700.1390.1071828.01409.01.0
    alpha[2]-0.6360.253-1.034-0.2350.0040.0033580.02903.01.0
    alpha[3]-0.6390.251-1.040-0.2460.0040.0033621.02664.01.0
    alpha[4]-0.3380.244-0.7220.0660.0040.0033560.02618.01.0
    alpha[5]0.5790.2440.2080.9830.0040.0033508.02257.01.0
    alpha[6]2.1410.3921.4952.7300.0070.0053185.02189.01.0
    +
    +
    +
    +
    +
    samples_partial = az.from_pystan(
+    posterior_model=posteriori_partial,
+    posterior=samples_partial,
+    observed_data=['pulled_left', 'actor']
+)
+
    +
    +
    +
    +
    +
    +

    R Code 11.5

    +
    +
    +
    # extract prior from quap
+omega = 10
+N = 1000
+
+norm_prior = np.random.normal(0, omega, N)
+
    +
    +
    +
    +
    +
    +

    R Code 11.6

    +
    +
    +
    p = inv_logit(norm_prior)
+
+omega = 1.5
+
+better_p = inv_logit( np.random.normal(0, omega, N) ) 
+
+az.plot_density([p, better_p],
+                data_labels=['a~normal(0, 10)', 'a~normal(0, 1.5)'], 
+                figsize=(15, 6))
+
+plt.title('')
+plt.xlabel('prior prob pull left')
+plt.ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_25_0.png +
    +
    +
    +
    +
    model_partial_better = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int pulled_left[N];
+        int actor[N];
+    }
+    
+    parameters {
+        vector[qty_chimpanzees] alpha;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Prioris
+        alpha ~ normal(0, 1.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+"""
+
+posteriori_partial_better = stan.build(model_partial_better, data=data_list_partial)
+samples_partial_better = posteriori_partial_better.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    az.summary(samples_partial_better, var_names=['alpha'], hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]-0.3350.230-0.6980.0270.0030.0036221.03145.01.0
    alpha[1]3.9260.7332.8365.1040.0110.0094498.02492.01.0
    alpha[2]-0.6230.247-1.039-0.2420.0030.0027013.02992.01.0
    alpha[3]-0.6250.254-1.036-0.2290.0030.0026910.03005.01.0
    alpha[4]-0.3310.232-0.6950.0320.0030.0036917.02863.01.0
    alpha[5]0.5630.2430.1870.9540.0030.0035784.02874.01.0
    alpha[6]2.0090.3601.4362.5770.0050.0046087.02897.01.0
    +
    +
    +
    +
    +
    samples_parcial_better = az.from_pystan(
+    posterior=samples_partial_better,
+)
+
    +
    +
    +
    +
    +
    +

    R Code 11.7

    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{ACTOR[i]} + \beta_{TREATEMENT[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 0.15) \]
    +
    +\[ \beta_k \sim Normal(0, 10) \]
    +
    +
    +
    # quap code to get priori
+
    +
    +
    +
    +
    +
    +

    R Code 11.8

    +
    +
    +
    p = []
+
+alpha = np.random.normal(0, 1.5, N)
+betas = np.random.normal(0, 10, (4, N))
+
+p = [inv_logit(alpha + beta) for beta in betas]
+
    +
    +
    +
    +
    +
    +
    az.plot_density(np.absolute(p[0] - p[1]), figsize=(17, 6))
+
+plt.title('')
+plt.xlabel('prior diff between treatments')
+plt.ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_34_0.png +
    +
    +
    +
    +

    R Code 11.9

    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{ACTOR[i]} + \beta_{TREATEMENT[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 0.15) \]
    +
    +\[ \beta_k \sim Normal(0, 0.5) \]
    +
    +
    +
    better_p = []
+
+alpha = np.random.normal(0, 1.5, N)
+betas = np.random.normal(0, 0.5, (4, N))
+
+better_p = [inv_logit(alpha + beta) for beta in betas]
+
    +
    +
    +
    +
    +
    +
    az.plot_density([
+        np.absolute(p[0] - p[1]), 
+        np.absolute(better_p[0] - better_p[1])
+    ], 
+    data_labels=['b ~ normal(0, 10)', 'b ~ normal(0, 0.5)'],
+    figsize=(15, 6))
+
+plt.title('')
+plt.xlabel('prior diff between treatments')
+plt.ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_38_0.png +
    +
    +
    +
    +
    np.mean(np.absolute(better_p[0] - better_p[1]))
+
    +
    +
    +
    +
    0.10040888662896558
+
    +
    +
    +
    +
    +
    +
    # Plot the 4 prior
+
+az.plot_density([
+        better_p[0], 
+        better_p[1], 
+        better_p[2], 
+        better_p[3], 
+    ],
+    data_labels=['prior_1', 'prior_2', 'prior_3', 'prior_4'], 
+    figsize=(15, 6))
+
+plt.title('')
+plt.xlabel('prior diff between treatments')
+plt.ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_40_0.png +
    +
    +
    +
    +

    R Code 11.10

    +
    +
    +
    data_list = df[['pulled_left', 'actor', 'treatment']].to_dict('list')
+data_list['N'] = len(df)
+data_list['qty_chimpanzees'] = len(df.actor.unique())
+data_list['qty_treatment'] = len(df.treatment.unique())
+
+data_list.keys()
+
    +
    +
    +
    +
    dict_keys(['pulled_left', 'actor', 'treatment', 'N', 'qty_chimpanzees', 'qty_treatment'])
+
    +
    +
    +
    +
    +
    +

    R Code 11.11

    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_treatment;
+        int pulled_left[N];
+        int actor[N];
+        int treatment[N];
+    }
+    
+    parameters {
+        vector[qty_chimpanzees] alpha;
+        vector[qty_treatment] beta;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Prioris
+        alpha ~ normal(0, 1.5);
+        beta ~ normal(0, 0.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+"""
+
+posteriori = stan.build(model, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    samples_chimpanzees = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples,
+    observed_data=['pulled_left', 'actor', 'treatment']
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(samples_chimpanzees, var_names=['alpha', 'beta'], hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]-0.4610.340-1.0030.0720.0080.0061693.02221.01.0
    alpha[1]3.8990.7452.7985.1360.0130.0093877.02485.01.0
    alpha[2]-0.7590.342-1.265-0.1810.0080.0061654.02520.01.0
    alpha[3]-0.7570.337-1.269-0.2050.0080.0061665.02450.01.0
    alpha[4]-0.4570.328-0.9440.1000.0080.0061527.02448.01.0
    alpha[5]0.4600.336-0.0910.9780.0080.0061758.02497.01.0
    alpha[6]1.9480.4231.2582.6060.0090.0062220.02804.01.0
    beta[0]-0.0280.290-0.4940.4240.0080.0051494.02154.01.0
    beta[1]0.4890.2860.0390.9530.0070.0051501.02514.01.0
    beta[2]-0.3740.286-0.8130.0880.0080.0051422.02233.01.0
    beta[3]0.3800.286-0.0630.8390.0080.0051409.02394.01.0
    +
    +
    +
    +
    +

    R Code 11.12

    +
    +
    +
    ax = az.plot_forest(samples_chimpanzees, 
+                    combined=True,  # Joint all chains 
+                    kind="forestplot", # or ridgeplot to plot densities
+                    var_names=['alpha'], 
+                    transform=inv_logit,
+                    hdi_prob=0.89,
+                    figsize=(15, 6))
+
    +
    +
    +
    +_images/parte_11_48_0.png +
    +
    +
    +
    +
    ax = az.plot_forest([samples_chimpanzees, samples_parcial_better, samples_partial], 
+                    combined=True,  # Joint all chains 
+                    kind="forestplot", # or ridgeplot to plot densities,
+                    model_names=['samples_chimpanzees', 'samples_parcial_better', 'samples_parcial'],
+                    var_names=['alpha'], 
+                    transform=inv_logit,
+                    hdi_prob=0.89,
+                    figsize=(15, 6))
+
+plt.title('All predicts to alpha')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_49_0.png +
    +
    +
    +
    +

    R Code 11.13

    +
    +
    +
    ax = az.plot_forest(samples_chimpanzees, 
+                    combined=True,  # Joint all chains 
+                    kind="forestplot", # or ridgeplot to plot densities
+                    var_names=['beta'], 
+                    # transform=inv_logit,
+                    hdi_prob=0.89,
+                    figsize=(15, 6))
+plt.axvline(x=0, c='gray')
+plt.show()
+
    +
    +
    +
    +_images/parte_11_51_0.png +
    +
    +
    +
    +

    R Code 8.14

    +
    +
    +
    beta_0 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)
+beta_1 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)
+beta_2 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)
+beta_3 = samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)
+
+diff_beta_0_2 = az.extract(beta_0 - beta_2)
+diff_beta_1_3 = az.extract(beta_1 - beta_3)
+
+az.plot_forest(
+    [diff_beta_0_2.beta.values, diff_beta_1_3.beta.values],
+    combined=True,  # Joint all chains 
+    kind="forestplot", # or ridgeplot to plot densities
+    # transform=inv_logit,
+    model_names=['db13', 'db24'],
+    hdi_prob=0.89,
+    figsize=(15, 6)
+)
+
+plt.axvline(x=0, c='gray')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_53_0.png +
    +
    +
    +
    +
    ax = az.plot_forest(samples_chimpanzees, 
+                    combined=True,  # Joint all chains 
+                    kind="forestplot", # or ridgeplot to plot densities
+                    var_names=['beta'], 
+                    # transform=inv_logit,
+                    hdi_prob=0.89,
+                    figsize=(12, 6))
+
+plt.axvline(x=0, c='gray')
+plt.show()
+
    +
    +
    +
    +_images/parte_11_54_0.png +
    +
    +
    +
    +

    R Code 11.15

    +
    +
    +
    pl = df.groupby(['actor', 'treatment'])[['actor', 'treatment', 'pulled_left']].mean(['pulled_left'])
+
+pl.loc[pl.actor == 1]
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actortreatmentpulled_left
    actortreatment
    111.01.00.333333
    21.02.00.500000
    31.03.00.277778
    41.04.00.555556
    +
    +
    +
    +
    +

    R Code 11.16 and R Code 11.17

    +
    +
    +
    # R Code 11.16
+
+plt.figure(figsize=(18, 6))
+
+plt.ylim(0, 1.3)
+plt.xlim(0, 7)
+plt.axhline(y=1, ls='-', c='black')
+plt.axhline(y=0.5, ls='--', c='black')
+
+
+for i in range(7):
+    plt.axvline(x=i+1, c='black')
+    plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)
+    
+    RN, LN, RP, LP = pl.loc[pl.actor == i + 1, 'pulled_left'].values
+
+    if not i == 1:
+        plt.plot([0.2 + i, 0.8 + i], [RN, RP], color='blue')
+    plt.plot(0.2 + i, RN, 'o', markerfacecolor='white', color='blue')
+    plt.plot(0.8 + i, RP, 'o', markerfacecolor='blue', color='white')
+    
+    if not i == 1:
+        plt.plot([0.3 + i, 0.9 + i], [LN, LP], color='darkblue')
+    plt.plot(0.3 + i, LN, 'o', markerfacecolor='white', color='blue')
+    plt.plot(0.9 + i, LP, 'o', markerfacecolor='blue', color='white')
+    
+    # Labels for only first points
+    if i == 0:
+        plt.text(x=0.17, y=RN - 0.08, s='R/N')
+        plt.text(x=0.77, y=RP - 0.08, s='R/P')
+        plt.text(x=0.17, y=LN + 0.08, s='L/N')
+        plt.text(x=0.77, y=LP + 0.08, s='L/P')
+    
+plt.title('Observed Proportions')
+plt.ylabel('Proportion left lever')
+plt.yticks([0, 0.5, 1], [0, 0.5, 1])
+plt.xticks([])
+
+plt.show()
+
+
+# R Code 11.17
+# ============
+
+plt.figure(figsize=(18, 6))
+
+plt.ylim(0, 1.3)
+plt.xlim(0, 7)
+plt.axhline(y=1, ls='-', c='black')
+plt.axhline(y=0.5, ls='--', c='black')
+
+
+for i in range(7):
+    plt.axvline(x=i+1, c='black')
+    plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)
+    
+    alpha_chimp = az.extract(samples_chimpanzees.posterior.alpha.sel(alpha_dim_0=i)).alpha.values
+    
+    RN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)).beta.values)
+    LN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values)
+    RP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)).beta.values)
+    LP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values)
+    
+    # To R/N and R/P
+    # ===============
+    if not i == 1:
+        plt.plot([0.2 + i, 0.8 + i], [RN.mean(), RP.mean()], color='black')
+    
+    # Plot hdi compatibility interval
+    RN_hdi_min, RN_hdi_max = az.hdi(RN, hdi_prob=0.89)
+    RP_hdi_min, RP_hdi_max = az.hdi(RP, hdi_prob=0.89)
+    plt.plot([0.2 + i, 0.2 + i], [RN_hdi_min, RN_hdi_max], c='black')
+    plt.plot([0.8 + i, 0.8 + i], [RP_hdi_min, RP_hdi_max], c='black')
+    
+    # Plot points
+    plt.plot(0.2 + i, RN.mean(), 'o', markerfacecolor='white', color='black')
+    plt.plot(0.8 + i, RP.mean(), 'o', markerfacecolor='black', color='white')
+    
+    # To L/N and L/P
+    # ===============
+    if not i == 1:
+        plt.plot([0.3 + i, 0.9 + i], [LN.mean(), LP.mean()], color='black', linewidth=3)
+
+    # Plot hdi compatibility interval
+    LN_hdi_min, LN_hdi_max = az.hdi(LN, hdi_prob=0.89)
+    LP_hdi_min, LP_hdi_max = az.hdi(LP, hdi_prob=0.89)
+    plt.plot([0.3 + i, 0.3 + i], [LN_hdi_min, LN_hdi_max], c='black')
+    plt.plot([0.9 + i, 0.9 + i], [LP_hdi_min, LP_hdi_max], c='black')
+
+    plt.plot(0.3 + i, LN.mean(), 'o', markerfacecolor='white', color='black')
+    plt.plot(0.9 + i, LP.mean(), 'o', markerfacecolor='black', color='white')
+    
+    # Labels for only first points
+    if i == 0:
+        plt.text(x=0.08, y=RN.mean() - 0.08, s='R/N')
+        plt.text(x=0.68, y=RP.mean() - 0.08, s='R/P')
+        plt.text(x=0.17, y=LN.mean() + 0.08, s='L/N')
+        plt.text(x=0.77, y=LP.mean() + 0.08, s='L/P')
+    
+plt.title('Posterior Predictions')
+plt.ylabel('Proportion left lever')
+plt.yticks([0, 0.5, 1], [0, 0.5, 1])
+plt.xticks([])
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_58_0.png +_images/parte_11_58_1.png +
    +
    +
    +
    +

    R Code 11.18

    +
    +
    +
    df['side'] = df.prosoc_left + 1  # Right 1, Left 2  - Because R start index in 1
+df['cond'] = df.condition + 1  # no partner 1, partner 2 - Because R start index in 1
+
    +
    +
    +
    +
    +
    +

    R Code 11.19

    +
    +
    +
    # Creating data list 2 to model
+data_list2 = df[['pulled_left', 'actor', 'side', 'cond']].to_dict('list')
+data_list2['N'] = len(df)
+data_list2['qty_actors'] = len(df.actor.unique())
+data_list2['qty_side'] = len(df.side.unique())
+data_list2['qty_cond'] = len(df.cond.unique())
+
+data_list2.keys()
+
    +
    +
    +
    +
    dict_keys(['pulled_left', 'actor', 'side', 'cond', 'N', 'qty_actors', 'qty_side', 'qty_cond'])
+
    +
    +
    +
    +
    +
    +
    model2 = """
+    data {
+        int N;
+        int qty_actors;
+        int qty_side;
+        int qty_cond;
+        
+        int pulled_left[N];
+        int actor[N];
+        int side[N];
+        int cond[N];
+    }
+    
+    parameters {
+        vector[qty_actors] alpha;
+        vector[qty_side] bs;
+        vector[qty_cond] bc;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Prioris
+        alpha ~ normal(0, 1.5);
+        bs ~ normal(0, 0.5);
+        bc ~ normal(0, 0.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + bs[ side[i] ] + bc[ cond[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+"""
+
+posteriori2 = stan.build(model2, data=data_list2)
+samples2 = posteriori2.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    samples_chimpanzees_2 = az.from_pystan(
+    posterior_model=posteriori2,
+    posterior=samples2,
+    observed_data=['pulled_left', 'actor', 'side', 'cond']
+)
+
    +
    +
    +
    +
    +
    +
    ax = az.plot_forest([samples_chimpanzees, samples_chimpanzees_2],
+                    combined=True,  # Joint all chains 
+                    kind="forestplot", # or ridgeplot to plot densities
+                    var_names=['alpha', 'beta', 'bs', 'bc'], 
+                    model_names=['samples_chimpanzees', 'samples_chimpanzees_2'],
+                    transform=inv_logit,
+                    hdi_prob=0.89,
+                    figsize=(17, 8))
+plt.show()
+
    +
    +
    +
    +_images/parte_11_65_0.png +
    +
    +
    +
    +

    R Code 11.21

    +

    To viewing data from rethinking packages

    +
    +
    +

    R Code 11.22

    +

    Comparing two models

    +
    +
    +

    R Code 11.23

    +
    +
    +
    beta_4 = az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values
+beta_2 = az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values
+
+np.mean( np.exp(beta_4 - beta_2) )
+
    +
    +
    +
    +
    0.9304928624024834
+
    +
    +
    +
    +
    +
    +

    R Code 11.24

    +
    +
    +
    d = pd.read_csv('./data/chimpanzees.csv', sep=';')
+d['treatment'] = 1 + d['prosoc_left'] + 2 * d['condition']
+d['side'] = d['prosoc_left'] + 1  # right 1, left 2
+d['cond'] = d['condition'] + 1  # no partner 1, partner 2
+
+d_aggregate = d.groupby(['treatment', 'actor', 'side', 'cond'])[['pulled_left']].sum('pulled_left').copy()
+d_aggregate.rename(columns={'pulled_left': 'left_pulls'}, inplace=True)  # Rename columns
+d_aggregate.reset_index(inplace=True)
+d_aggregate.head(8)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    treatmentactorsidecondleft_pulls
    011116
    1121118
    213115
    314116
    415116
    5161114
    6171114
    721219
    +
    +
    +
    +
    +
    len(d_aggregate)
+
    +
    +
    +
    +
    28
+
    +
    +
    +
    +
    +
    +

    R Code 11.25

    +
    +
    +
    dat = d_aggregate[['left_pulls', 'treatment', 'actor', 'side', 'cond']].to_dict('list')
+dat['N'] = len(d_aggregate)
+dat['qty_actors'] = len(d_aggregate.actor.unique())
+dat['qty_treatments'] = len(d_aggregate.treatment.unique())
+
+dat.keys()
+
    +
    +
    +
    +
    dict_keys(['left_pulls', 'treatment', 'actor', 'side', 'cond', 'N', 'qty_actors', 'qty_treatments'])
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_actors;
+        int qty_treatments;
+        
+        int left_pulls[N];
+        int actor[N];
+        int treatment[N];
+    }
+    
+    parameters {
+        vector[qty_actors] alpha;
+        vector[qty_treatments] beta;
+    }
+    
+    model {
+        vector[N] p;
+        
+        alpha ~ normal(0, 1.5);
+        beta ~ normal(0, 0.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+    
+        left_pulls ~ binomial(18, p);
+    }
+"""
+
+posteriori = stan.build(model, data=dat)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_chimp_bin = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples,
+    observed_data=['left_pulls', 'treatment', 'actor'],
+)
+
    +
    +
    +
    +
    +
    +
    az.plot_forest(
+    [model_chimp_bin, samples_chimpanzees],
+    var_names=['alpha', 'beta'], 
+    model_names=['Model Binomial', 'Model Bernoulli'],
+    combined=True, 
+    transform=inv_logit, 
+    figsize=(16, 6),
+    hdi_prob=0.89,
+)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_77_0.png +
    +
    +
    +
    +
    for t in range(4):
+    p_chimp_bin = []
+    for i in range(7):
+        alpha_chimp_bin = model_chimp_bin.posterior.alpha.sel(alpha_dim_0=i).values.flatten()
+        beta_chimp_bin = model_chimp_bin.posterior.beta.sel(beta_dim_0=t).values.flatten()
+
+        p_chimp_bin.append(inv_logit(alpha_chimp_bin + beta_chimp_bin))
+
+    az.plot_density(p_chimp_bin, figsize=(17, 5))
+    plt.title(f'Treatment = {t + 1}')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_78_0.png +_images/parte_11_78_1.png +_images/parte_11_78_2.png +_images/parte_11_78_3.png +
    +
    +
    +
    +

    R Code 11.26

    +
    +
    +
    models_to_compare = {'model_chimp_bin': model_chimp_bin, 'samples_chimpanzees': samples_chimpanzees}
+
+# az.compare(models_to_compare)  # or use 'elpd_waic' to WAIC
+
+# XXX: Need to make posteriori in model to read in arviz
+
    +
    +
    +
    +
    +
    +

    R Code 11.27

    +
    +
    +
    # Deviance of aggregated 6-in-9
+agg = -2 * np.log(stats.binom.pmf(k=6, n=9, p=0.2))
+print(agg)
+
+# Deviance of dis-aggregagted
+k = [1, 1, 1, 1, 1, 1, 0, 0, 0]
+
+not_agg = -2 * np.sum(np.log(stats.bernoulli.pmf(k=k, p=0.2)))
+print(not_agg)
+
    +
    +
    +
    +
    11.790482659407832
+20.652116257094463
+
    +
    +
    +
    +
    +
    +
    +

    My Tests

    +
    +
    +
    N = 100
+p = np.random.rand()
+
+y = np.random.binomial(1, p, N)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data{
+        int N;
+        int y[N];
+    }
+    
+    parameters {
+        real alpha;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Priori
+        alpha ~ normal(0.5, 1);
+    
+        for (i in 1:N){
+                p[i] = inv_logit(alpha);
+        }
+    
+        // Likelihood
+        y ~ binomial(1, p);
+    }
+"""
+
+data = {
+    'N':N,
+    'y': y,
+}
+
+posteriori = stan.build(model, data=data)
+samples_test = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    samples_test_az = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples_test,
+    observed_data=['y']
+)
+
+az.plot_density(
+    samples_test_az, var_names=['alpha'], 
+    transform=inv_logit)
+
+az.plot_density(
+    samples_test_az, var_names=['alpha'])
+
+az.plot_density(inv_logit(np.random.normal(0.5, 0.5, 1000)))  # Priori
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_86_0.png +_images/parte_11_86_1.png +_images/parte_11_86_2.png +
    +
    +
    +
    +
    print(p, np.mean(inv_logit(samples_test_az.posterior.alpha.values)))
+
    +
    +
    +
    +
    0.6395421321747394 0.5988337119128063
+
    +
    +
    +
    +
    +
    +
    az.plot_density(inv_logit(samples_test_az.posterior.alpha.values) - p)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_88_0.png +
    +
    +
    +
    +
    # Binomial
+
+N = 100
+p = np.random.rand()
+
+y = np.random.binomial(5, p, N)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data{
+        int N;
+        int y[N];
+    }
+    
+    parameters {
+        real alpha;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Priori
+        alpha ~ normal(0.5, 1);
+    
+        for (i in 1:N){
+                p[i] = inv_logit(alpha);
+        }
+    
+        // Likelihood
+        y ~ binomial(5, p);
+    }
+"""
+
+data = {
+    'N':N,
+    'y': y,
+}
+
+posteriori = stan.build(model, data=data)
+samples_test = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    samples_test_az = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples_test,
+    observed_data=['y']
+)
+
+az.plot_density(
+    samples_test_az, var_names=['alpha'], 
+    transform=inv_logit)
+
+az.plot_density(
+    samples_test_az, var_names=['alpha'])
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_91_0.png +_images/parte_11_91_1.png +
    +
    +
    +
    +
    print(p, np.mean(inv_logit(samples_test_az.posterior.alpha.values)))
+
    +
    +
    +
    +
    0.679474227457576 0.6379739000951222
+
    +
    +
    +
    +
    +
    +
    az.plot_density(inv_logit(samples_test_az.posterior.alpha.values) - p)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_93_0.png +
    +
    +
    +
    +
    +

    R Code 11.28

    +
    +
    +
    df = pd.read_csv('./data/UCBadmit.csv', sep=';')
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    deptapplicant.genderadmitrejectapplications
    1Amale512313825
    2Afemale8919108
    3Bmale353207560
    4Bfemale17825
    5Cmale120205325
    6Cfemale202391593
    7Dmale138279417
    8Dfemale131244375
    9Emale53138191
    10Efemale94299393
    11Fmale22351373
    12Ffemale24317341
    +
    +
    +
    +
    +
    total_male_applic = df[df['applicant.gender']  == 'male']['applications'].sum()
+total_male_admit = df[df['applicant.gender']  == 'male']['admit'].sum()
+print('Percentual total male =', int(100*(total_male_admit / total_male_applic)), '%')
+
+total_female_applic = df[df['applicant.gender']  == 'female']['applications'].sum()
+total_female_admit = df[df['applicant.gender']  == 'female']['admit'].sum()
+print('Percentual total female =', int(100*(total_female_admit / total_female_applic)), '%')
+
    +
    +
    +
    +
    Percentual total male = 44 %
+Percentual total female = 30 %
+
    +
    +
    +
    +
    +
    +

    R Code 11.29

    +
    +\[ A_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{GID[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 1.5) \]
    +
    +
    +
    df['gid'] = np.where(df['applicant.gender'] == 'male', 1, 2)
+
+dat_list = df[['admit', 'applications', 'gid']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_genders'] = len(df.gid.unique())
+dat_list
+
    +
    +
    +
    +
    {'admit': [512, 89, 353, 17, 120, 202, 138, 131, 53, 94, 22, 24],
+ 'applications': [825, 108, 560, 25, 325, 593, 417, 375, 191, 393, 373, 341],
+ 'gid': [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
+ 'N': 12,
+ 'qty_genders': 2}
+
    +
    +
    +
    +
    +
    +
    for dept_i in df.dept.unique():
+    
+    print(f'DEPARTMENT ---> {dept_i}')
+        
+    for gend_i in ['male', 'female']:
+    
+        applications = df[(df['dept'] == dept_i) & (df['applicant.gender'] == gend_i)]['applications']
+        admit = df[(df['dept'] == dept_i) & (df['applicant.gender'] == gend_i)]['admit']
+        perc_admit = admit.values / applications.values
+
+        print(f'The dept {dept_i} has {int(100 * perc_admit[0])}% acceptions rate for {gend_i}')
+        
+    print('\n')
+
    +
    +
    +
    +
    DEPARTMENT ---> A
+The dept A has 62% acceptions rate for male
+The dept A has 82% acceptions rate for female
+
+
+DEPARTMENT ---> B
+The dept B has 63% acceptions rate for male
+The dept B has 68% acceptions rate for female
+
+
+DEPARTMENT ---> C
+The dept C has 36% acceptions rate for male
+The dept C has 34% acceptions rate for female
+
+
+DEPARTMENT ---> D
+The dept D has 33% acceptions rate for male
+The dept D has 34% acceptions rate for female
+
+
+DEPARTMENT ---> E
+The dept E has 27% acceptions rate for male
+The dept E has 23% acceptions rate for female
+
+
+DEPARTMENT ---> F
+The dept F has 5% acceptions rate for male
+The dept F has 7% acceptions rate for female
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_genders;
+        
+        int admit[N];
+        int applications[N];
+        int gid[N];
+    }
+    
+    parameters {
+        vector[qty_genders] alpha;
+    }
+    
+    model {
+        vector[N] p;
+        
+        alpha ~ normal(0, 1.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ gid[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        admit ~ binomial(applications, p);
+    }
+"""
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    app_gender = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples,
+    observed_data=list(dat_list.keys()),
+    dims={
+        'alpha': ['gender'],
+    }
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(app_gender)  # In scale inv-logit
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]-0.220.039-0.287-0.1430.0010.0003893.02712.01.0
    alpha[1]-0.830.050-0.921-0.7330.0010.0014089.02650.01.0
    +
    +
    +
    +
    +
    az.plot_forest(app_gender, var_names=['alpha'], combined=True, figsize=(15,5), transform=inv_logit)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_105_0.png +
    +
    +
    +
    +

    R Code 11.30

    +
    +
    +
    alpha_1 = app_gender.posterior.alpha.sel(gender=0)
+alpha_2 = app_gender.posterior.alpha.sel(gender=1)
+
+diff_a = alpha_1 - alpha_2
+diff_p = inv_logit(alpha_1) - inv_logit(alpha_2)
+
+az.summary(diff_a)  # Shark
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha0.610.0650.490.7340.0010.0014040.02912.01.0
    +
    +
    +
    +
    +
    az.summary(diff_p)  # Deer
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha0.1410.0150.1140.1690.00.04030.02886.01.0
    +
    +
    +
    +
    +

    R Code 11.31

    +
    +
    +
    plt.figure(figsize=(18, 6))
+
+plt.ylim(0, 1.3)
+plt.xlim(0, 5.8)
+plt.axhline(y=1, ls='-', c='black')
+
+depts = df.dept.unique()
+
+for i in range(6):
+    plt.axvline(x=i+1, c='black')
+    
+    dept = depts[i]
+
+    plt.text(x=i + 0.25, y=1.1, s=f'Dept {dept}', size=20)
+
+    perc_male, perc_female = df.loc[df['dept'] == dept, 'admit'] / df.loc[df['dept'] == dept, 'applications']
+
+    plt.plot([0.2 + i, 0.7 + i], [perc_male, perc_female], color='blue')  # Line
+    plt.plot(0.2 + i, perc_male, 'o', markerfacecolor='white', color='blue')  # point male
+    plt.plot(0.7 + i, perc_female, 'o', markerfacecolor='blue', color='white')  # point female
+    
+    plt.text(x=0.5 + i, y=max(perc_male, perc_female) + 0.05, s=dept)
+    
+plt.title('Posteriori Validation Check')
+plt.ylabel('Admit')
+plt.xlabel('Case')
+plt.yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0], [0, 0.2, 0.4, 0.6, 0.8, 1])
+plt.xticks(np.arange(0, 5.9, 0.5) + 0.2, np.arange(1, 12.1, 1, dtype=int))
+
+plt.show()
+
+# Need put points with open points from samples
+
    +
    +
    +
    +_images/parte_11_110_0.png +
    +
    +
    +
    +

    R Code 11.32

    +

    We want ask:

    +
    - What is the average difference in probability of admission between women and man within departments?
+
    +
    +
    +\[ A_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{GID[i]} + \delta_{DEPT[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 1.5) \]
    +
    +\[ \delta_k \sim Normal(0, 1.5) \]
    +
    +
    +
    df['gid'] = np.where(df['applicant.gender'] == 'male', 1, 2)
+
+df['dept_idx'] = [ord(dept_i) - 64 for dept_i in df['dept']]  # ord('A') = 65
+
+dat_list = df[['admit', 'applications', 'gid', 'dept_idx']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_genders'] = len(df.gid.unique())
+dat_list['qty_dept'] = len(df.dept_idx.unique())
+
+dat_list
+
    +
    +
    +
    +
    {'admit': [512, 89, 353, 17, 120, 202, 138, 131, 53, 94, 22, 24],
+ 'applications': [825, 108, 560, 25, 325, 593, 417, 375, 191, 393, 373, 341],
+ 'gid': [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2],
+ 'dept_idx': [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6],
+ 'N': 12,
+ 'qty_genders': 2,
+ 'qty_dept': 6}
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_genders;
+        int qty_dept;
+        
+        array[N] int admit;
+        array[N] int applications;
+        array[N] int gid;
+        array[N] int dept_idx;
+    }
+    
+    parameters {
+        vector[qty_genders] alpha;
+        vector[ qty_dept ] delta;
+    }
+    
+    model {
+        vector[N] p;
+        
+        alpha ~ normal(0, 1.5);
+        delta ~ normal(0, 1.5);
+        
+        for (i in 1:N){
+            p[i] = alpha[ gid[i] ] + delta[ dept_idx[i] ];  # O Delta calcula a taxa média de admissão para o departamento i
+            p[i] = inv_logit(p[i]);
+        }
+        
+        admit ~ binomial(applications, p);
+    }
+"""
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    applic_gender_2 = az.from_pystan(
+    posterior_model=posteriori,
+    posterior=samples,
+    observed_data=list(dat_list.keys()),
+    dims = {
+        'alpha': ['gender'],
+        'delta': ['department'],
+    }
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(applic_gender_2)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]-0.6020.521-1.4790.4290.030.021309.0552.01.0
    alpha[1]-0.5060.523-1.4200.4820.030.021307.0582.01.0
    delta[0]1.1830.5250.2292.1530.030.021311.0597.01.0
    delta[1]1.1380.5270.1412.0980.030.021313.0618.01.0
    delta[2]-0.0760.524-1.0360.8800.030.021309.0579.01.0
    delta[3]-0.1080.525-1.0550.8580.030.021308.0575.01.0
    delta[4]-0.5520.528-1.5800.3710.030.021307.0621.01.0
    delta[5]-2.1110.538-3.131-1.1410.030.021323.0623.01.0
    +
    +
    +
    +
    +
    az.plot_forest(
+    applic_gender_2,
+    var_names=['alpha', 'delta'],
+    combined=True,
+    transform=inv_logit,
+    figsize=(17, 6),
+    hdi_prob=0.89,
+)
+
+plt.xlim((0, 1))
+plt.show()
+
    +
    +
    +
    +_images/parte_11_118_0.png +
    +
    +
    +
    +

    R Code 11.33

    +
    +
    +
    alpha_male = applic_gender_2.posterior.alpha.sel(gender=0)
+alpha_female = applic_gender_2.posterior.alpha.sel(gender=1)
+
+az.summary(alpha_male - alpha_female, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha-0.0960.081-0.2230.0350.0010.0014495.03760.01.0
    +
    +
    +
    +
    +
    az.plot_forest((alpha_male - alpha_female), hdi_prob=0.89, combined=True)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_121_0.png +
    +
    +
    +
    +
    az.summary(inv_logit(alpha_male) - inv_logit(alpha_female), hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha-0.0210.018-0.050.0080.00.03438.03591.01.0
    +
    +
    +
    +
    +
    az.plot_forest((inv_logit(alpha_male) - inv_logit(alpha_female)), hdi_prob=0.89, combined=True)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_123_0.png +
    +
    +
    +
    +
    pg = {}
+pg['male'] = {}
+pg['female'] = {}
+
+dept_i = 'A'
+
+for dept_i in df['dept'].unique():
+
+    total = df[df['dept'] == dept_i]['applications'].sum()
+    total_male = df[(df['dept'] == dept_i) & (df['applicant.gender'] == 'male')]['applications'].sum()
+    total_female = df[(df['dept'] == dept_i) & (df['applicant.gender'] == 'female')]['applications'].sum()
+
+    pg['male'][dept_i] = round(total_male / total, 2)
+    pg['female'][dept_i] = round(total_female / total, 2)
+    
+pd.DataFrame.from_dict(pg).T
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ABCDEF
    male0.880.960.350.530.330.52
    female0.120.040.650.470.670.48
    +
    +
    +
    +
    +

    Poisson Regression

    +
    +

    R Code 11.35

    +
    +
    +
    N = 10000
+p = 1/1000
+
+y = np.random.binomial(N, p, 10000)
+print(f'The mean is {np.mean(y)} and variance is {np.var(y)}')
+
    +
    +
    +
    +
    The mean is 10.036 and variance is 10.078504
+
    +
    +
    +
    +
    +
    +

    R Code 11.36

    +
    +
    +
    df = pd.read_csv('./data/Kline.csv', sep=';')
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    culturepopulationcontacttotal_toolsmean_TU
    0Malekula1100low133.2
    1Tikopia1500low224.7
    2Santa Cruz3600low244.0
    3Yap4791high435.0
    4Lau Fiji7400high335.0
    5Trobriand8000high194.0
    6Chuuk9200high403.8
    7Manus13000low286.6
    8Tonga17500high555.4
    9Hawaii275000low716.6
    +
    +
    +
    +\[ y_i \sim Poisson(\lambda) \]
    +

    The parameter \(\lambda\) is expected value of the outcome y.

    +

    The link function for poisson is the \(log\) link.

    +
    +\[ y_i \sim Poisson(\lambda_i) \]
    +
    +\[ log(\lambda_i) = \alpha + \beta(x_i - \bar x) \]
    +
    +
    +

    R Code 11.37

    +
    +
    +
    df['log_population'] = np.log(df['population'])  # log population
+df['P'] = (df['log_population'] - np.mean(df['log_population'])) / np.std(df['log_population'])  #std log population
+df['contact_id'] = [2 if contact_i == 'high' else 1 for contact_i in df['contact'].values ]  # CID 1:low; 2:high
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    culturepopulationcontacttotal_toolsmean_TUlog_populationPcontact_id
    0Malekula1100low133.27.003065-1.3613321
    1Tikopia1500low224.77.313220-1.1474331
    2Santa Cruz3600low244.08.188689-0.5436641
    3Yap4791high435.08.474494-0.3465582
    4Lau Fiji7400high335.08.909235-0.0467372
    5Trobriand8000high194.08.9871970.0070292
    6Chuuk9200high403.89.1269590.1034162
    7Manus13000low286.69.4727050.3418611
    8Tonga17500high555.49.7699560.5468612
    9Hawaii275000low716.612.5245262.4465581
    +
    +
    +
    +

    Model - Poisson Regression

    +
    +\[ T_i \sim Poisson(\lambda_i) \]
    +
    +\[ log(\lambda_i) = \alpha_{CID[i]} + \beta_{CID[i]} log(P_i) \]
    +
    +\[ \alpha_j \sim \mbox{to be determined} \]
    +
    +\[ \beta_j \sim \mbox{to be determined} \]
    +
    +
    +\[ T_i \sim Poisson(\lambda_i) \]
    +
    +\[ log(\lambda_i) = \alpha\]
    +
    +\[ \alpha \sim Normal(0, 10) \]
    +
    +
    +
    +

    R Code 11.38

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+N = 200
+x = np.linspace(0, 100, N)
+
+y = stats.lognorm.pdf(x=x, s=10, loc=0, scale=20)  # See the docs to understanding the parameters
+
+# R Code 11.40
+y_new = stats.lognorm.pdf(x=x, s=0.5, loc=3, scale=20)  # See the docs to understanding the parameters
+
+plt.plot(x, y, c='black')
+plt.plot(x, y_new, c='blue')
+
+plt.ylabel('Density')
+plt.xlabel('Mean Number of Tools')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_137_0.png +
    +
    +
    +
    +

    R Code 11.39

    +
    +
    +
    a = np.random.normal(0, 10, 1000)
+lambda_ = np.exp(a)
+np.mean(lambda_)
+
    +
    +
    +
    +
    1877154437902.8613
+
    +
    +
    +
    +
    +
    +

    R Code 11.40

    +
    +
    +
    # Ploted in R Code 11.38
+
    +
    +
    +
    +
    +
    +

    R Code 11.41

    +
    +
    +
    N = 100
+a = np.random.normal(3, 0.5, N)  # prior to alpha
+b = np.random.normal(0, 10, N)  # prior to beta
+
+x = np.linspace(-2, 2, 100)
+
+prioris = []
+
+plt.figure(figsize=(17, 6))
+
+for i in range(N):
+    plt.plot(x, np.exp(a[i] + b[i] * x), c='blue')
+    
+plt.xlim(-2, 2)
+plt.ylim(0, 100)
+
+plt.title('Poisson Priori \n beta ~ Normal(0, 10)')
+plt.xlabel('log population (std)')
+plt.ylabel('total odds')
+    
+plt.show()
+
    +
    +
    +
    +_images/parte_11_143_0.png +
    +
    +
    +
    +

    R Code 11.42

    +
    +
    +
    N = 100
+a = np.random.normal(3, 0.5, N)  # prior to alpha
+b = np.random.normal(0, 0.2, N)  # prior to beta
+
+x = np.linspace(-2, 2, 100)
+
+prioris = []
+
+plt.figure(figsize=(17, 6))
+for i in range(N):
+    plt.plot(x, np.exp(a[i] + b[i] * x), c='blue')
+    
+plt.xlim(-2, 2)
+plt.ylim(0, 100)
+
+plt.title('Poisson Priori \n beta ~ Normal(0, 0.2)')
+plt.xlabel('log population (std)')
+plt.ylabel('total odds')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_145_0.png +
    +
    +
    +
    +

    R Code 11.43

    +
    +
    +
    N = 100
+a = np.random.normal(3, 0.5, N)  # prior to alpha
+b = np.random.normal(0, 0.2, N)  # prior to beta
+
+x_seq = np.linspace(np.log(100), np.log(200000), 100)  # log(population)
+
+lambda_poisson =  [ np.exp(a[i] + b[i] * x_seq) for i in range(N) ]
+
+plt.figure(figsize=(17,6))
+
+for i in range(N):
+    plt.plot(x_seq, lambda_poisson[i], c='blue')
+
+plt.ylim(0, 500)
+plt.xlim(min(x_seq) - 0.1, max(x_seq))
+
+plt.title('a ~ Normal(3, 0.5), b ~ Normal(0, 0.2)')
+plt.xlabel('log population')
+plt.ylabel('total tools')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_147_0.png +
    +
    +
    +
    +

    R Code 11.44

    +
    +
    +
    #N = 100
+#a = np.random.normal(3, 0.5, N)  # prior to alpha
+#b = np.random.normal(0, 0.2, N)  # prior to beta
+
+x_seq = np.linspace(np.log(100), np.log(200000), 100)  # log(population)
+
+lambda_poisson_ =  [ np.exp(a[i] + b[i] * x_seq) for i in range(N) ]
+
+plt.figure(figsize=(17,6))
+
+for i in range(N):
+    plt.plot(np.exp(x_seq), lambda_poisson_[i], c='blue')
+
+plt.ylim(0, 500)
+#plt.xlim(min(np.exp(x_seq)), max(np.exp(x_seq)))
+
+plt.title('a ~ Normal(3, 0.5), b ~ Normal(0, 0.2)')
+plt.xlabel('population')
+plt.ylabel('total tools')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_149_0.png +
    +
    +
    +

    Curiosidade do python

    +
    +
    +
    x = np.linspace(0, 10, 100)
+y = np.exp(2 + 4 * x)
+
+plt.plot(x*2000, y, c='red')
+plt.show()
+
+plt.plot(np.exp(x), y, c='red')
+plt.show()
+
+plt.plot(x*2000, y, c='red')
+plt.show()
+
    +
    +
    +
    +_images/parte_11_151_0.png +_images/parte_11_151_1.png +_images/parte_11_151_2.png +
    +
    +
    +
    +
    +

    R Code 11.45

    +
    +

    Model:

    +
    +\[ T_i \sim Poisson(\lambda_i) \]
    +
    +\[ log(\lambda_i) = \alpha_{CID[i]} \]
    +
    +\[ \alpha_j \sim Normal(3, 0.5) \]
    +
    +
    +
    model_11_9 = """
+    data {
+        int N;
+        array[N] int total_tools;
+    }
+    
+    parameters {
+        real alpha;
+    }
+    
+    model {
+        // Priori
+        alpha ~ normal(3, 0.5);
+        
+        // Likelihood
+        total_tools ~ poisson(exp(alpha));
+    }
+"""
+
+data_list = df[['total_tools']].to_dict('list')
+data_list['N'] = len(df)
+
+posteriori = stan.build(model_11_9, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_11_9_post = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(data_list.keys()),
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_11_9_post, var_names=['alpha'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha3.5390.0533.4373.6340.0010.0011653.02031.01.0
    +
    +
    +
    +
    +
    az.plot_forest(model_11_9_post, var_names=['alpha'], combined=True)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_157_0.png +
    +
    +
    +
    +

    Model:

    +
    +\[ T_i \sim Poisson(\lambda_i) \]
    +
    +\[ log(\lambda_i) = \alpha_{CID[i]} + \beta_{CID[i]} \times log(P_i) \]
    +
    +\[ \alpha_j \sim Normal(3, 0.5) \]
    +
    +\[ \beta_j \sim Normal(0, 0.2) \]
    +
    +
    +
    model_11_9_new = """
+    data {
+        int N;
+        int qty_cid;
+        array[N] int total_tools;
+        array[N] real P;
+        array[N] int contact_id;
+    }
+    
+    parameters {
+        array[qty_cid] real alpha;
+        array[qty_cid] real beta;
+    }
+    
+    model {
+        vector[N] lambda;
+        
+        // Priori
+        alpha ~ normal(3, 0.5);
+        beta ~ normal(0, 0.2);
+        
+        // Likelihood
+        for(i in 1:N){
+                lambda[i] = alpha[ contact_id[i] ] + beta[ contact_id[i] ] * P[i];
+                lambda[i] = exp(lambda[i]);
+        }
+        total_tools ~ poisson(lambda);
+    }
+"""
+
+data_list = df[['total_tools', 'P', 'contact_id']].to_dict('list')
+data_list['N'] = len(df)
+data_list['qty_cid'] = len(df.contact_id.unique())
+
+posteriori = stan.build(model_11_9_new, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_11_9_new_post = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(data_list.keys()),
+    dims={
+        'alpha': ['contact_id'],
+        'beta': ['contact_id'],
+    }
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_11_9_new_post)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]3.3180.0853.1593.4750.0020.0013218.03262.01.0
    alpha[1]3.6100.0723.4653.7370.0010.0013837.02567.01.0
    beta[0]0.3610.0490.2650.4490.0010.0013990.03160.01.0
    beta[1]0.1890.156-0.1230.4680.0030.0023815.02813.01.0
    +
    +
    +
    +
    +
    az.plot_forest(model_11_9_new_post, var_names=['alpha', 'beta'], combined=True, figsize=(17, 5))
+plt.show()
+
    +
    +
    +
    +_images/parte_11_162_0.png +
    +
    +
    +
    +
    +

    R Code 11.46

    +
    +
    +
    # Need to make a generated_quantities to compute compare
+
+
+dict_to_compare = {
+    'model_11_9_post': model_11_9_post,
+    'model_11_9_new_post': model_11_9_new_post
+}
+
+# az.compare(dict_to_compare)
+
    +
    +
    +
    +
    +
    +

    R Code 11.47

    +
    +
    +
    N = 100
+a_low = model_11_9_new_post.posterior.alpha.sel(contact_id=0).values.flatten()  # CID = 0 (low contact) 
+b_low = model_11_9_new_post.posterior.beta.sel(contact_id=0).values.flatten()  # CID = 0 (low contact)
+
+a_high = model_11_9_new_post.posterior.alpha.sel(contact_id=1).values.flatten()  # CID = 1 (high contact) 
+b_high = model_11_9_new_post.posterior.beta.sel(contact_id=1).values.flatten()  # CID = 1 (high contact)
+
+x_seq = np.linspace(-1.4, 3, 100)  # log(population)
+
+lambda_poisson_low =  np.array([ np.exp(a_low + b_low * x_seq[i]) for i in range(N)])
+hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])
+            
+lambda_poisson_high =  np.array([ np.exp(a_high + b_high * x_seq[i]) for i in range(N)])
+hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])
+
+plt.figure(figsize=(17,8))
+
+plt.plot(x_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--')  # Low
+plt.fill_between(x_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)
+
+plt.plot(x_seq, lambda_poisson_high.mean(axis=1), c='black', label='High')  # High
+plt.fill_between(x_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)
+
+# Plot the points
+plt.scatter(df[df['contact_id'] == 1].P, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')
+plt.scatter(df[df['contact_id'] == 2].P, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')
+
+plt.title('')
+plt.xlabel('log population (std)')
+plt.ylabel('total tools')
+plt.legend(loc='upper left')
+
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_166_0.png +
    +
    +
    +
    +

    R Code 11.48

    +
    +
    +
    N = 100
+a_low = model_11_9_new_post.posterior.alpha.sel(contact_id=0).values.flatten()  # CID = 0 (low contact) 
+b_low = model_11_9_new_post.posterior.beta.sel(contact_id=0).values.flatten()  # CID = 0 (low contact)
+
+a_high = model_11_9_new_post.posterior.alpha.sel(contact_id=1).values.flatten()  # CID = 1 (high contact) 
+b_high = model_11_9_new_post.posterior.beta.sel(contact_id=1).values.flatten()  # CID = 1 (high contact)
+
+p_seq = np.linspace(-5, 3, 100)
+
+# 1.53 is sd of log(population)
+# 9 is mean of log(population)
+pop_seq = np.exp(p_seq * 1.53 + 9)
+
+lambda_poisson_low =  np.array([ np.exp(a_low + b_low * p_seq[i]) for i in range(N)])
+hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])
+            
+lambda_poisson_high =  np.array([ np.exp(a_high + b_high * p_seq[i]) for i in range(N)])
+hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])
+
+plt.figure(figsize=(17,8))
+
+plt.plot(pop_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--')  # Low
+plt.fill_between(pop_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)
+
+plt.plot(pop_seq, lambda_poisson_high.mean(axis=1), c='black', label='High')  # High
+plt.fill_between(pop_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)
+
+# Plot the points
+plt.scatter(df[df['contact_id'] == 1].population, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')
+plt.scatter(df[df['contact_id'] == 2].population, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')
+
+# Limits graphs
+plt.xlim(-10000, 300000)
+plt.ylim(-3, 90)
+
+plt.title('')
+plt.xlabel('population')
+plt.ylabel('total tools')
+plt.legend(loc='upper left')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_168_0.png +
    +
    +
    +
    +

    R Code 11.49 - Overthinking: Modeling tool innovation - Pg 356

    +

    Expected number of tools in one time step is:

    +
    +\[ \Delta T = \alpha P^\beta - \gamma T \]
    +
      +

    • \(T\): Number of tools

      • +

    • \(\alpha, \beta, \gamma\): Parameters to be estimated

      • +
    +

    The equilibrium number of tools \(T\), just \(\Delta T = 0\) and solve for T.

    +
    +\[ \hat{T} = \frac{\alpha P^\beta}{\gamma} \]
    +

    The noise around the outcome will still be \(Poisson\), because that is still maximum entropy distribution in this context - total_tools is a count with no clear upper bound. The linear model is:

    +
    +\[ T_i \sim Poisson(\lambda_i) \]
    +
    +\[ \lambda_i = \frac{\alpha P^\beta_i}{\gamma} \]
    +
    +
    +
    N = 100
+
+p_seq = np.linspace(df.log_population.min(), df.log_population.max(), N)
+
+a = np.random.normal(1, 1, N)
+b = np.random.exponential(1, N)
+g = np.random.exponential(1, N)
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.hist(a, alpha=0.3, label='alpha')
+plt.hist(b, alpha=0.3, label='beta')
+plt.hist(g, alpha=0.3, label='gamma')
+
+plt.legend(loc='upper right')
+plt.show()
+
    +
    +
    +
    +_images/parte_11_172_0.png +
    +
    +
    +
    +
    np.shape(lambda_[0])
+
    +
    +
    +
    +
    ()
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+lambda_ = [(np.exp(a[i]) * (p_seq ** b[i])) / g[i] for i in range(N)] 
+
+for i in range(N):
+    plt.plot(p_seq, lambda_[i], c='blue')
+    
+plt.ylim(0, 100)
+plt.show()
+
+plt.figure(figsize=(17, 6))
+for i in range(N):
+    plt.plot(np.exp(p_seq), lambda_[i], c='blue')
+    
+plt.ylim(0, 100)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_174_0.png +_images/parte_11_174_1.png +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_cid;
+        array[N] int total_tools;
+        array[N] real population;
+        array[N] int contact_id;
+    }
+    
+    parameters {
+        array[qty_cid] real alpha;
+        array[qty_cid] real<lower=0> beta;
+        real<lower=0> gamma;
+    }
+    
+    model {
+        array[N] real lambda;
+        
+        // Prioris
+        alpha ~ normal(1, 1);
+        beta ~ exponential(1);
+        gamma ~ exponential(1);
+        
+        for(i in 1:N){
+            lambda[i] = (exp(alpha[ contact_id[i] ]) * population[i] ^ beta[ contact_id[i] ])/gamma;
+        }
+        
+        //likelihood
+        total_tools ~ poisson(lambda);
+    }
+"""
+
+data_list = df[["total_tools", "contact_id", "population"]].to_dict('list')
+data_list['N'] = len(df.total_tools)
+data_list['qty_cid'] = len(df.contact_id.unique())
+
+posteriori = stan.build(model, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_11_11 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(data_list.keys()),
+    dims = {
+        'alpha': ['contact_id'],
+        'beta': ['contact_id'],
+    }
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_11_11)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]0.9170.685-0.3462.2190.0170.0121681.01625.01.01
    alpha[1]0.9220.857-0.6822.4880.0200.0151923.01648.01.00
    beta[0]0.2610.0330.1980.3230.0010.0002336.01623.01.00
    beta[1]0.2920.1060.0840.4810.0030.0021601.01392.01.00
    gamma1.1640.7760.1072.5140.0190.0131518.01454.01.00
    +
    +
    +
    +
    +
    az.plot_forest(model_11_11, var_names=['alpha', 'beta', 'gamma'], combined=True, figsize=(17, 6))
+
+plt.grid(axis='x', color='white', alpha=0.3, ls='--')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_178_0.png +
    +
    +
    +
    +
    N = 100
+a_low = model_11_11.posterior.alpha.sel(contact_id=0).values.flatten()  # CID = 0 (low contact) 
+b_low = model_11_11.posterior.beta.sel(contact_id=0).values.flatten()  # CID = 0 (low contact)
+
+a_high = model_11_11.posterior.alpha.sel(contact_id=1).values.flatten()  # CID = 1 (high contact) 
+b_high = model_11_11.posterior.beta.sel(contact_id=1).values.flatten()  # CID = 1 (high contact)
+
+g = model_11_11.posterior.gamma.values.flatten()
+
+
+p_seq = np.linspace(df.log_population.min() -1 , df.log_population.max() + 1, N)
+
+pop_seq = np.exp(p_seq)
+
+lambda_poisson_low =  np.array([ (np.exp(a_low) * pop_seq[i] ** b_low)/g for i in range(N)])
+hdi_low = np.transpose([ az.hdi(lambda_poisson_low[i]) for i in range(N) ])
+            
+lambda_poisson_high =  np.array([ (np.exp(a_high) * pop_seq[i] ** b_high)/g for i in range(N)])
+hdi_high = np.transpose([ az.hdi(lambda_poisson_high[i]) for i in range(N) ])
+
+plt.figure(figsize=(17,8))
+
+plt.plot(pop_seq,lambda_poisson_low.mean(axis=1), c='blue', label='Low', ls='--')  # Low
+plt.fill_between(pop_seq, hdi_low[0], hdi_low[1], color='blue', alpha=0.1)
+
+plt.plot(pop_seq, lambda_poisson_high.mean(axis=1), c='black', label='High')  # High
+plt.fill_between(pop_seq, hdi_high[0], hdi_high[1], color='black', alpha=0.1)
+
+# Plot the points
+plt.scatter(df[df['contact_id'] == 1].population, df[df['contact_id'] == 1].total_tools, label='Low contact', color='blue')
+plt.scatter(df[df['contact_id'] == 2].population, df[df['contact_id'] == 2].total_tools, label='High contact', color='black')
+
+# Limits graphs
+plt.xlim(-10000, 290000)
+plt.ylim(10, 90)
+
+plt.title('')
+plt.xlabel('population')
+plt.ylabel('total tools')
+plt.legend(loc='upper left')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_11_179_0.png +
    +
    +
    +
    +
    +

    Example: Exposure and the offset:

    +

    Implicity, \(\lambda\) is equal to an expexted number of events, \(\mu\), per unit time or distance, \(\tau\).

    +

    This implies that \(\lambda = \frac{\mu}{\tau}\).

    +
    +\[ y_i \sim Poisson(\lambda_i) \]
    +
    +\[ log \lambda_i = log \frac{\mu_i}{\tau_i} = \alpha + \beta x_i \]
    +
    +\[ log \mu_i = \log \tau_i + \alpha + \beta x_i \]
    +

    The \(\tau\) values are the “\(exposures\)”. When \(\tau_i=1\), then \(log(\tau_i) = 0\) and we’re back where we started.

    +

    Then the model with different exposures just by writing a model like:

    +
    +\[ y_i \sim Poisson(\mu_i) \]
    +
    +\[ log \mu_i = log \tau_i + \alpha + \beta x_i \]
    +
    +

    R Code 11.50

    +
    +
    +
    num_days = 30
+
+y = np.random.poisson(lam=1.5 ,size=num_days)
+y
+
    +
    +
    +
    +
    array([4, 0, 0, 4, 3, 0, 2, 2, 2, 5, 0, 1, 3, 1, 4, 3, 3, 3, 3, 1, 2, 0,
+       1, 1, 2, 1, 3, 4, 0, 0])
+
    +
    +
    +
    +
    +
    +

    R Code 11.51

    +
    +
    +
    num_weeks = 4
+
+y_new = np.random.poisson(lam=0.5*7, size=num_weeks)
+y_new
+
    +
    +
    +
    +
    array([4, 2, 3, 3])
+
    +
    +
    +
    +
    +
    +

    R Code 11.52

    +
    +
    +
    y_all = np.concatenate([y, y_new])
+exposure = np.concatenate([np.repeat(1, 30), np.repeat(7, 4)])
+monastery = np.concatenate([np.repeat(0, 30), np.repeat(1, 4)])
+
+df = pd.DataFrame.from_dict(dict(y=y_all, days=exposure, monastery=monastery))
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ydaysmonastery
    0410
    1010
    2010
    3410
    4310
    5010
    6210
    7210
    8210
    9510
    10010
    11110
    12310
    13110
    14410
    15310
    16310
    17310
    18310
    19110
    20210
    21010
    22110
    23110
    24210
    25110
    26310
    27410
    28010
    29010
    30471
    31271
    32371
    33371
    +
    +
    +
    +
    +

    R Code 11.52

    +
    +
    +
    model = """
+    data {
+        int N;
+        array[N] int y;
+        array[N] real log_days;
+        array[N] int monastery;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+    }
+    
+    model {
+        array[N] real lambda;
+        
+        alpha ~ normal(0, 1);
+        beta ~ normal(0, 1);
+        
+        for (i in 1:N){
+            lambda[i] = log_days[i] + alpha + monastery[i] * beta ;
+            lambda[i] = exp(lambda[i]);
+        }
+        
+        y ~poisson(lambda);
+    }
+"""
+
+df['log_days'] = np.log(df['days'])
+
+data_list = df[['y', 'log_days', 'monastery']].to_dict('list')
+data_list['N'] = len(df)
+
+posteriori = stan.build(model, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_11_12 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(data_list.keys())
+)
+
    +
    +
    +
    +
    +
    +

    R Code 11.54

    +
    +
    +
    az.plot_forest(model_11_12, var_names=["alpha", "beta"], combined=True)
+plt.show()
+
    +
    +
    +
    +_images/parte_11_192_0.png +
    +
    +
    +
    +
    alpha = model_11_12.posterior.alpha
+beta = model_11_12.posterior.beta
+
+lambda_old = np.exp(alpha)
+lambda_new = np.exp(alpha + beta)
+
+
+az.plot_forest(lambda_old, var_names=['alpha'], combined=True)
+plt.show()
+az.summary(lambda_old)
+
    +
    +
    +
    +_images/parte_11_193_0.png +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha1.8710.2441.4442.340.0050.0042097.01945.01.0
    +
    +
    +
    +
    +
    az.plot_forest(lambda_new, combined=True)
+plt.show()
+
+az.summary(lambda_new)
+
    +
    +
    +
    +_images/parte_11_194_0.png +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    x0.4790.1260.2510.710.0020.0023170.02567.01.0
    +
    +
    +
    +
    +
    +

    Predictors matched to outcomes

    +
    +
    +
    def softmax(scores_list):
+    return np.exp(scores_list) / np.sum(np.exp(scores_list))
+
    +
    +
    +
    +
    +

    R Code 11.55

    +
    +
    +
    # Simulate career choices among 500 individuals
+
+N = 500  # number individuals
+income = np.array([1, 2, 5])  # expected income of each career
+score = income * 0.5  # scores for each career, based on income
+
+# next line converts scores to probabilities
+p = softmax([score[0], score[1], score[2]])
+
+career = [np.random.choice([1, 2, 3], size=1, p=p)[0] for _ in range(N)]
+
+print('Career choiced: ', career[:20], '\nIncome: ', income, '\nScore:  ', score)
+
    +
    +
    +
    +
    Career choiced:  [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 2, 2, 3, 3, 3] 
+Income:  [1 2 5] 
+Score:   [0.5 1.  2.5]
+
    +
    +
    +
    +
    +
    +

    R Code 11.56

    +
    +
    +
    model = """
+    data {
+        int N;  // number of individuals - Here is 500
+        int K;  // number of possible careers - Here is 3
+        
+        array[N] int career;  // outcome
+        vector[K]  career_income;
+    }
+    
+    parameters {
+        vector[K-1] a;  // intercepts
+        real<lower=0> b;  // association of income with choice
+    }
+    
+    model {
+        vector[K] p;
+        vector[K] s;
+        
+        a ~ normal(0, 1);
+        b ~ normal(0, 0.5);
+        
+        s[1] = a[1] + b * career_income[1];
+        s[2] = a[2] + b * career_income[2];
+        s[3] = 0;  // pivot
+        
+        p = softmax( s );
+        
+        career ~ categorical(p);
+    }
+"""
+
+dat_list = dict({
+    'N': len(career), # 500
+    'K': len(score),  # 3
+    'career': career,
+    'career_income': income,
+})
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +

    R Code 11.57

    +
    +
    +
    np.std(samples['a'][0])
+
    +
    +
    +
    +
    0.16525252892399064
+
    +
    +
    +
    +
    +
    +
    model_11_13 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(dat_list.keys()),
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_11_13)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    a[0]-2.0730.165-2.423-1.8080.0070.005668.0608.01.01
    a[1]-1.7300.216-2.145-1.3610.0110.008436.0429.01.00
    b0.1220.0960.0000.2990.0050.004431.0569.01.00
    +
    +
    +

    obs: This model not fitting like a book!

    +

    TODO: Read this in future!

    +

    Explanations: +https://github.com/pymc-devs/pymc-resources/blob/main/Rethinking_2/Chp_11.ipynb

    +

    The model described in the book does not sample well in PyMC. It does slightly better if we change the pivot category to be the first career instead of the third, but this is still suboptimal because we are discarding predictive information from the pivoted category (i.e., its unique career income).

    +

    In fact, it is not necessary to pivot the coefficients of variables that are distinct for each category (what the author calls predictors matched to outcomes), as it is done for the coefficients of shared variables (what the author calles predictors matched to observations). The intercepts belong to the second category, and as such they still need to be pivoted. These two references explain this distinction clearly:

    +

    Hoffman, S. D., & Duncan, G. J. (1988). Multinomial and conditional logit discrete-choice models in demography. Demography, 25(3), 415-427 pdf link +Croissant, Y. (2020). Estimation of Random Utility Models in R: The mlogit Package. Journal of Statistical Software, 95(1), 1-41 pdf pdf link

    +
    +
    +

    R Code 11.58

    +
    +
    +
    a = model_11_13.posterior.a
+b = model_11_13.posterior.b
+
+
+s1 = (a.sel(a_dim_0=0) + b * income[0]).values.flatten()
+s2_old = (a.sel(a_dim_0=1) + b * income[1]).values.flatten()
+s2_new = (a.sel(a_dim_0=1) + b * income[1] * 2).values.flatten()
+
+p_orig = [softmax([s1[i], s2_old[i], 0]) for i in range(len(s1)) ]
+p_new  = [softmax([s1[i], s2_new[i], 0]) for i in range(len(s1)) ]
+
+# Summarize
+p_diff = np.transpose(p_new)[1] - np.transpose(p_orig)[1]
+
+az.plot_forest([np.transpose(p_new)[1], np.transpose(p_orig)[1], p_diff], model_names=['new', 'old', 'diff_new_to_old'])
+plt.show()
+
+az.summary(p_diff)
+
    +
    +
    +
    +_images/parte_11_207_0.png +
    arviz - WARNING - Shape validation failed: input_shape: (1, 4000), minimum_shape: (chains=2, draws=4)
+
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    x0.0380.0330.00.1010.0020.001436.0554.0NaN
    +
    +
    +

    So on average a \(5\%\) increase in probability of choosing the career, when the income is doubled.

    +
    +
    +
    +

    Predictors Matched to observations (pg 362)

    +
    +

    R Code 11.59

    +
    +
    +
    N = 500
+
+# Simulate family incomes for each individual
+family_income = np.random.uniform(0, 1, N)
+
+b = np.array([-2, 0, 2])
+career = np.empty(N)
+
+for i in range(N):
+    score = np.array([1, 2, 3]) * 0.5 + b * family_income[i]
+    p = softmax([score[0], score[1], score[2]])
+    career[i] = np.random.choice([1, 2, 3], size=1, p=p)
+    
+career = career.astype(int)
+print('Career choiced: ', career[:15])
+print('Family Income: ', family_income[:5])
+
    +
    +
    +
    +
    Career choiced:  [3 3 1 3 3 3 3 2 3 3 2 3 2 3 3]
+Family Income:  [0.88220597 0.26090131 0.41481564 0.95091294 0.31800893]
+
    +
    +
    +
    +
    +
    +
    model = """
+    data{
+        int N;
+        int K;
+        array[N] int career;
+        array[N] real family_income;
+    }
+    
+    parameters {
+        vector[K-1] a; // intercepts
+        vector[K-1] b; // coefficients on family income
+    }
+    
+    model {
+        vector[K] p;
+        vector[K] s;
+        
+        a ~ normal(1, 1.5);
+        b ~ normal(0, 1);
+        
+        for (i in 1:N) {
+            for (j in 1:(K-1)) s[j] = a[j] + b[j]*family_income[i];
+            s[K] = 0;
+            p = softmax( s );
+            career[i] ~ categorical( p );
+        }
+    }
+"""
+
+dat_list = {
+    'N': N,
+    'K': len(b),
+    'career': career,
+    'family_income': family_income,
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_11_14 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_11_14)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    a[0]-1.3060.266-1.802-0.8120.0060.0042149.02219.01.0
    a[1]-0.6390.201-1.019-0.2700.0040.0032279.02078.01.0
    b[0]-2.2760.550-3.329-1.2550.0120.0082176.02278.01.0
    b[1]-1.5360.383-2.263-0.8260.0080.0062294.01994.01.0
    +
    +
    +
    +
    +
    +

    Multinomial disguise as Poisson

    +
    +

    R Code 11.60

    +
    +
    +
    df = pd.read_csv('./data/UCBadmit.csv', sep=';')
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    deptapplicant.genderadmitrejectapplications
    1Amale512313825
    2Afemale8919108
    3Bmale353207560
    4Bfemale17825
    5Cmale120205325
    6Cfemale202391593
    7Dmale138279417
    8Dfemale131244375
    9Emale53138191
    10Efemale94299393
    11Fmale22351373
    12Ffemale24317341
    +
    +
    +
    +
    +
    df.admit.values
+
    +
    +
    +
    +
    array([512,  89, 353,  17, 120, 202, 138, 131,  53,  94,  22,  24])
+
    +
    +
    +
    +
    +
    +
    model_bin = """
+    data{
+        int N;
+        array[N] int admit;
+        array[N] int applications;
+    }
+    
+    parameters {
+        real a;
+    }
+    
+    model {
+        real p;
+        
+        a ~ normal(0, 1.5);
+        p = inv_logit(a);
+        
+        admit ~ binomial(applications, p);
+    }
+"""
+
+dat_list_bin = {
+    'N': len(df),
+    'admit': df.admit.values,
+    'applications': df.applications.values,
+}
+
+posteriori_bin = stan.build(model_bin, data=dat_list_bin)
+samples_bin = posteriori_bin.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    m_bin = az.from_pystan(
+    posterior=samples_bin,
+    posterior_model=posteriori_bin 
+)
+
    +
    +
    +
    +
    +
    +

    R Code 11.62

    +
    +
    +
    az.plot_forest(
+    m_bin,
+    var_names=['a'],
+    combined=True,
+    transform=inv_logit,
+    figsize=(17, 3),
+    hdi_prob=0.89,
+)
+plt.show()
+
+az.summary(inv_logit(m_bin.posterior.a))
+
    +
    +
    +
    +_images/parte_11_222_0.png +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    a0.3880.0070.3740.4020.00.01343.01691.01.0
    +
    +
    +
    +
    +
    # RCode 11.61 - Poisson model
+
+model_poi = """
+    data{
+        int N;
+        array[N] int admit;
+        array[N] int rej;
+        array[N] int applications;
+    }
+    
+    parameters {
+        real a1;
+        real a2;
+    }
+    
+    model {
+        real lambda_1;
+        real lambda_2;
+        
+        a1 ~ normal(0, 1.5);
+        a2 ~ normal(0, 1.5);
+        
+        lambda_1 = exp(a1);
+        lambda_2 = exp(a2);
+        
+        admit ~ poisson(lambda_1);
+        rej ~ poisson(lambda_2);
+    }
+"""
+
+dat_list_poi = {
+    'N': len(df),
+    'admit': df.admit.values,
+    'rej': df.reject.values,
+    'applications': df.applications.values,
+}
+
+posteriori_poi = stan.build(model_poi, data=dat_list_poi)
+samples_poi = posteriori_poi.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    m_poi = az.from_pystan(
+    posterior=samples_poi,
+    posterior_model=posteriori_poi 
+)
+
    +
    +
    +
    +
    +
    +

    R Code 11.63

    +
    +
    +
    lam1 = np.exp(m_poi.posterior.a1)
+lam2 = np.exp(m_poi.posterior.a2)
+
+resp = lam1 / (lam1 + lam2)
+
+az.plot_forest(resp, 
+               combined=True,
+               figsize=(17, 3),
+               hdi_prob=0.89)
+plt.show()
+
+az.summary(resp)
+
    +
    +
    +
    +_images/parte_11_226_0.png +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    x0.3880.0070.3740.4010.00.03787.02203.01.0
    +
    +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    10 - Grande Entropia e Modelos Lineares Generalizados

    +
    +     + +
    +

    next

    +

    12 - Monstros e Misturas

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_12.html b/parte_12.html new file mode 100644 index 0000000..96016e8 --- /dev/null +++ b/parte_12.html @@ -0,0 +1,2403 @@ + + + + + + + + 12 - Monstros e Misturas — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    12 - Monstros e Misturas

    +
    +

    Imports, loadings and functions

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +
    +
    # Utils functions
+
+def logit(p):
+    return np.log(p) - np.log(1 - p)
+
+def inv_logit(p):
+    return np.exp(p) / (1 + np.exp(p))
+
    +
    +
    +
    +
    +
    +

    12.1 Over-dispersed counts

    +
    +

    12.1.1 Beta-Binomial

    +

    Beta distributuion:

    +
    +\[ x \sim beta(\bar{p}, \theta) \]
    +

    another parametrization:

    +
    +\[ x \sim beta(\alpha, \beta) \]
    +

    where: +$\( \alpha = \bar{p} \theta \)$

    +
    +\[ \beta = (1 - \bar{p}) \theta\]
    +
    +
    +

    R Code 12.1

    +
    +
    +
    def plot_beta(p_bar, theta):
+    alpha = p_bar * theta  # Alpha = p * theta
+    beta = (1 - p_bar) * theta  # beta = (1-p) * theta
+
+    x = np.linspace(0, 1, num=100)
+
+    plt.figure(figsize=(17, 5))
+
+    plt.plot(x, stats.beta.pdf(x, alpha, beta))
+
+    plt.title(f'Beta Distribution \n\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \n\n $pbar={p_bar}$, $theta={theta}$')
+    plt.ylabel('Density')
+    plt.xlabel('x')
+    plt.show()
+
    +
    +
    +
    +
    +
    +
    p_bar = 0.5
+theta = 2
+plot_beta(p_bar, theta)
+
+# -----
+p_bar = 0.5
+theta = 1
+plot_beta(p_bar, theta)
+
+# -----
+p_bar = 0.5
+theta = 3
+plot_beta(p_bar, theta)
+
+# -----
+p_bar = 0.93  # 0 < p < 1
+theta = 3
+plot_beta(p_bar, theta)
+
+# -----
+p_bar = 0.13  # 0 < p < 1
+theta = 1
+plot_beta(p_bar, theta)
+
    +
    +
    +
    +_images/parte_12_12_0.png +_images/parte_12_12_1.png +_images/parte_12_12_2.png +_images/parte_12_12_3.png +_images/parte_12_12_4.png +
    +
    +
    +
    +
    p_bar = np.arange(0.3, 0.8, 0.1)  # array([0.3, ..., 0.7])
+theta = [1, 2, 3]
+
+x = np.linspace(0, 1, num=100)
+
+
+
+for t in theta:
+    plt.figure(figsize=(17, 5))
+    for p in p_bar:
+        alpha = p * t
+        beta = (1 - p) * t
+
+        plt.plot(x, stats.beta.pdf(x, alpha, beta), c='blue')
+
+        plt.title(f'Beta Distribution \n\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \n\n $pbar={p_bar}$, $theta={round(t, 3)}$')
+        plt.ylabel('Density')
+        plt.xlabel('x')
+    plt.show()
+
    +
    +
    +
    +_images/parte_12_13_0.png +_images/parte_12_13_1.png +_images/parte_12_13_2.png +
    +
    +
    +
    +
    p_bar = [0.5]
+theta = [2, 2.5, 3, 3.5, 5, 10, 25, 50]
+
+x = np.linspace(0, 1, num=100)
+
+
+
+for t in theta:
+    plt.figure(figsize=(17, 5))
+    for p in p_bar:
+        alpha = p * t
+        beta = (1 - p) * t
+
+        plt.plot(x, stats.beta.pdf(x, alpha, beta), c='blue')
+
+        plt.title(f'Beta Distribution \n\n $alpha={round(alpha, 3)}$, $beta={round(beta, 3)}$ \n\n $pbar={p_bar}$, $theta={round(t, 3)}$')
+        plt.ylabel('Density')
+        plt.xlabel('x')
+    plt.show()
+
    +
    +
    +
    +_images/parte_12_14_0.png +_images/parte_12_14_1.png +_images/parte_12_14_2.png +_images/parte_12_14_3.png +_images/parte_12_14_4.png +_images/parte_12_14_5.png +_images/parte_12_14_6.png +_images/parte_12_14_7.png +
    +
    +
    +
    +

    R Code 12.2

    +
    +

    The Beta-binomial model

    +
    +\[ A_i \sim BetaBinomial(N_i, \bar{p}_i, \theta) \]
    +
    +\[ logit(\bar{p}_i) = \alpha_{GID[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 1.5) \]
    +
    +\[ \theta = \phi + 2 \]
    +
    +\[ \phi \sim Exponential(1) \]
    +

    Where:

    +
      +

    • \(A := \) admit

      • +

    • \(N := \) applicantions

      • +

    • \(GID[i] := \) gid is gender index, \(1\) to male \(2\) to female

      • +
    +

    The BetaBinomial distribution in Stan has the parameters like most common Beta distribuiton. Then, the model above will be rewriter like:

    +
    +\[ A_i \sim BetaBinomial(N_i, \alpha, \beta) \]
    +
    +\[ \alpha = \bar{p}_i \times \theta \]
    +
    +\[ \beta = (1 - \bar{p}_i) \times \theta \]
    +
    +\[ logit(\bar{p}_i) = a_{GID[i]} \]
    +
    +\[ a_j \sim Normal(0, 1.5) \]
    +
    +\[ \theta = \phi + 2 \]
    +
    +\[ \phi \sim Exponential(1) \]
    +

    Where:

    +
      +

    • \(A := \) admit

      • +

    • \(N := \) applicantions

      • +

    • \(GID[i] := \) gid is gender index, \(1\) to male \(2\) to female

      • +

    • \(\bar{p}_i := \) An average probability to gender type \(i\)

      • +

    • \(\theta := \) Shape of parameter, describe how spread out the distribution is.

      • +
    +

    Remember that binomial model for UCBadmit data, defined in 11.29, was written as follow:

    +
    +\[ A_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = a_{GID[i]}\]
    +
    +\[ a_j \sim Normal(0, 1.5) \]
    +
    +
    +
    df = pd.read_csv('./data/UCBadmit.csv', sep=';')
+df['gid'] = [ 1 if gender == 'male' else 2 for gender in df['applicant.gender'] ]
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    deptapplicant.genderadmitrejectapplicationsgid
    1Amale5123138251
    2Afemale89191082
    3Bmale3532075601
    4Bfemale178252
    5Cmale1202053251
    6Cfemale2023915932
    7Dmale1382794171
    8Dfemale1312443752
    9Emale531381911
    10Efemale942993932
    11Fmale223513731
    12Ffemale243173412
    +
    +
    +
    +
    +
    model = """
+    functions {
+        vector alpha_cast(vector pbar, real theta){
+            return pbar * theta; 
+        }
+        
+        vector beta_cast(vector pbar, real theta){
+            return (1-pbar) * theta;
+        }
+    }
+    
+    data {
+        int N;
+        int qty_gid;
+        array[N] int admit;
+        array[N] int applications;
+        array[N] int gid; 
+    }
+    
+    parameters {
+        vector[qty_gid] a;
+        real<lower=0> phi;
+    }
+    
+    transformed parameters {
+        real<lower=2> theta;  // Need declared here to transform the parameter
+        theta = phi + 2;
+    }
+    
+    model {
+        vector[N] pbar;
+        
+        a ~ normal(0, 1.5);
+        phi ~ exponential(1);
+        
+        for (i in 1:N){
+            pbar[i] = a[ gid[i] ];
+            pbar[i] = inv_logit(pbar[i]);
+        }
+        
+        admit ~ beta_binomial(applications, alpha_cast(pbar, theta), beta_cast(pbar, theta) );
+    }
+    
+    generated quantities {
+        real da;
+        da = a[1] - a[2];
+    }
+    
+"""
+
+data_list = df[['applications', 'admit', 'gid']].to_dict('list')
+data_list['N'] = len(df.admit)
+data_list['qty_gid'] = len(df.gid.unique())
+data_list
+
+posteriori = stan.build(model, data=data_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_12_1 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(data_list.keys()),
+    dims={
+        'a': ['gender'],
+    }
+)
+
    +
    +
    +
    +
    +
    +
    +

    R Code 12.3

    +
    +
    +
    az.summary(model_12_1, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    a[0]-0.4440.401-1.0710.2060.0070.0063017.02336.01.0
    a[1]-0.3260.422-0.9660.3840.0080.0073088.02596.01.0
    phi1.0260.7940.0022.0400.0140.0102232.01312.01.0
    theta3.0260.7942.0024.0400.0140.0102232.01312.01.0
    da-0.1170.584-1.0500.8220.0110.0102961.02170.01.0
    +
    +
    +
    +
    +
    az.plot_forest(model_12_1, combined=True, figsize=(17, 5), hdi_prob=0.89)
+az.plot_forest(model_12_1, var_names=['a'], combined=True, figsize=(17, 3), hdi_prob=0.89, transform=inv_logit)
+plt.show()
+
    +
    +
    +
    +_images/parte_12_25_0.png +_images/parte_12_25_1.png +
    +
    +
    +
    +

    R Code 12.4

    +
    +
    +
    gid = 2  # female
+
+p = inv_logit(model_12_1.posterior.a.sel(gender=1))
+theta = model_12_1.posterior.theta
+
+# Plot beta distribution posterior
+
+alpha = p * theta  # Alpha = p * theta
+beta = (1 - p) * theta  # beta = (1-p) * theta
+
+plt.figure(figsize=(18, 7))
+
+for i in range(50):
+    plt.plot(x, stats.beta.pdf(x, alpha.values.flatten()[i], beta.values.flatten()[i]), c='blue', alpha=0.4)
+
+plt.plot(x, stats.beta.pdf(x, alpha.values.mean(), beta.values.mean()), c='black', lw=2)
+
+plt.ylim(0, 3)
+
+plt.title(f'Distribution of female admisson rates')
+plt.ylabel('Density')
+plt.xlabel('Probability admit')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_12_27_0.png +
    +
    +
    +
    +

    R Code 12.5

    +
    +
    +
    p_m = inv_logit(model_12_1.posterior.a.sel(gender=0).values.flatten())  # Male
+p_f = inv_logit(model_12_1.posterior.a.sel(gender=1).values.flatten())  # Female
+
+theta = model_12_1.posterior.theta.values.flatten()
+
+# Calculation of alpha and beta to Beta distribution
+alpha_m = p_m*theta
+beta_m = (1 - p_m)*theta
+
+alpha_f = p_f*theta
+beta_f = (1 - p_f)*theta
+
+p_bar_m = np.random.beta(alpha_m, beta_m)
+p_bar_f = np.random.beta(alpha_f, beta_f)
+
+hdi_m = az.hdi(p_bar_m)
+hdi_f = az.hdi(p_bar_f)
+
+mean_m = np.mean(p_bar_m)
+mean_f = np.mean(p_bar_f)
+
    +
    +
    +
    +
    +
    +
    for i in range(10, 2):
+    print(i)
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+for i in range(1, len(df), 2):
+    # Male
+    plt.plot([i, i], [mean_m - np.std(p_bar_m), np.std(p_bar_m) + mean_m ], c='blue', alpha=0.1)
+    plt.plot(i, hdi_m[0], '+', c='k')
+    plt.plot(i, hdi_m[1], '+', c='k')
+    
+    i = i + 1
+    
+    # Female
+    plt.plot([i, i], [mean_f - np.std(p_bar_f), np.std(p_bar_f) + mean_f ], c='blue', alpha=0.1)
+    plt.plot(i, hdi_f[0], '+', c='k')
+    plt.plot(i, hdi_f[1], '+', c='k')
+
+plt.scatter(range(1, len(df)+1), df.admit.values/df.applications.values, s=50, zorder=13)
+plt.scatter(range(1, len(df)+1), [ mean_m if i == 1 else mean_f for i in df.gid ], facecolors='none', edgecolors='black', s=50, zorder=13)
+
+plt.title('Posterior validation check')
+plt.xlabel('case')
+plt.ylabel('A')
+
+plt.ylim(-0.1, 1)
+plt.show()
+
    +
    +
    +
    +_images/parte_12_31_0.png +
    +
    +
    +
    +

    12.1.2 Negative-binomial or Gamma-Poisson

    +
    +\[ y_i \sim GammaPoisson(\lambda_i, \phi) \]
    +
      +

    • The \(\lambda\) parameter can be treated like the rate of an ordinary Poisson.

      • +

    • The \(\phi\) parameter must be positive and controls the variance.

      • +

    • The variance of the Gamma-Poisson is \(\lambda + \lambda^2 \over \phi\).

      • +

    • The larges \(\phi\) values mean is similar to a pure Poisson process.

      • +
    +
    +
    +

    R Code 12.6 - TODO

    +
    +
    +
    df = pd.read_csv('./data/Kline.csv', sep=';')
+df['P'] = ( np.log(df.population) - np.mean(np.log(df.population)) ) / np.std(np.log(df.population))
+df['contact_id'] = [2 if contact_i == 'high' else 1 for contact_i in df.contact ]
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    culturepopulationcontacttotal_toolsmean_TUPcontact_id
    0Malekula1100low133.2-1.3613321
    1Tikopia1500low224.7-1.1474331
    2Santa Cruz3600low244.0-0.5436641
    3Yap4791high435.0-0.3465582
    4Lau Fiji7400high335.0-0.0467372
    5Trobriand8000high194.00.0070292
    6Chuuk9200high403.80.1034162
    7Manus13000low286.60.3418611
    8Tonga17500high555.40.5468612
    9Hawaii275000low716.62.4465581
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_contact;
+        array[N] int total_tools;
+        array[N] int population;
+        array[N] int contact_id;
+    }
+    
+    parameters {
+        array real[qty_contact] a;
+        array real[qty_contact] b;
+    }
+    
+    model {
+        vector[N] lambda;
+        real phi;
+        
+        phi ~ exponential(1);
+        
+        total_tools ~ neg_binomial(alpha, beta);
+    }
+"""
+
    +
    +
    +
    +
    +
    +
    +

    12.2 Zero-Inflated outcomes

    +
    +

    12.2.1 Example: Zero-inflated Poisson

    +

    Coin flip, with probability \(p\) that show “cask of wine” on one side and a quill on the other.

    +
      +

    • When monks is drinks, then none manuscript was be complete.

      • +

    • When hes are working, the manuscript are complete like the Poisson distribution on the average rate \(\lambda\).

      • +
    +

    The likelihood of a zero value \(y\) is:

    +
    +\[ Pr\{0 | p, \lambda \} = Pr\{drink|p\} + Pr\{work|p\} \times Pr\{0|\lambda\} \]
    +
    +\[ = p + (1 + p) (\frac{\lambda^0 exp(-\lambda)}{0!}) \]
    +
    +\[ = p + (1 + p) exp(-\lambda) \]
    +

    In above is just a math form to:

    +
    +

    The probability of observing a zero is the probability that the monks did drink OR (\(+\)) the probability that the monks worked AND (\(\times\)) failed to finish anything.

    +
    +

    And the likelihood of a non-zero value \(y\) is:

    +
    +\[ Pr\{y | y > 0, p, \lambda \} = Pr\{dink | p \}(0) + Pr\{work | p\} \times Pr\{y | \lambda\} = (1-p) \frac{\lambda ^y exp(-y)}{y!} \]
    +
    +

    The probability that monks working, \(1-p\), and finish \(y\) manuscripts. Since the drinking monks, \(p\), never finish any manuscript.

    +
    +

    The ZIPoisson, with parameters \(p\) (probability of a zeros) and \(\lambda\) (rate mean of Poisson) to describe the shape.

    +

    The zero-inflated Poisson regression is that form:

    +
    +\[ y_i \sim ZIPoisson(p_i, \lambda_i) \]
    +
    +\[ logit(p_i) = \alpha_p + \beta_p x_i \]
    +
    +\[ log(\lambda_i) = \alpha_\lambda + \beta_\lambda x_i \]
    +
    +
    +

    R Code 12.7

    +
    +
    +
    prob_drink = 0.2  # 20% of days
+rate_work = 1  # average 1 manuscript per day
+
+# Samples one year of production
+N = 365
+
+# Simulate days monks drink
+drink = np.random.binomial(n=1, p=prob_drink, size=N)
+print('Drink day == 1')
+print(drink)
+
+# Simulate manuscript completed
+y = (1 - drink) * np.random.poisson(lam=rate_work, size=N)
+print('\n Work day')
+print(y)
+
    +
    +
    +
    +
    Drink day == 1
+[0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1
+ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0
+ 0 1 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 0 1 0
+ 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
+ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0
+ 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0
+ 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0
+ 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0
+ 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0
+ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 1 1 1 0]
+
+ Work day
+[1 2 0 0 0 0 0 1 1 1 0 0 0 3 4 0 1 1 0 0 2 1 0 1 2 2 1 0 0 1 1 2 0 3 0 2 0
+ 2 1 0 2 0 1 0 1 1 1 3 1 2 2 1 1 1 0 2 0 1 1 0 1 1 0 1 0 0 0 1 2 0 0 0 0 1
+ 0 0 0 0 1 0 1 0 0 0 0 0 0 0 3 0 0 0 3 0 1 0 1 1 0 1 0 1 0 0 2 1 0 0 1 0 3
+ 0 0 0 2 4 1 0 0 2 1 0 1 0 2 2 1 0 0 0 1 1 0 2 0 0 2 0 0 0 1 0 1 0 1 2 1 0
+ 1 1 2 1 0 2 1 0 1 1 2 2 1 0 2 0 1 0 0 0 1 0 2 0 1 1 1 2 1 0 0 2 2 0 2 0 1
+ 1 0 0 2 1 1 1 2 0 0 1 0 0 0 0 0 1 1 1 0 1 1 0 3 3 0 0 1 0 1 1 2 0 0 2 0 1
+ 4 0 3 1 0 1 0 0 0 0 2 0 1 0 1 1 0 1 0 1 0 0 0 1 2 3 0 0 0 3 4 0 1 0 1 0 0
+ 4 0 0 1 4 1 1 0 1 1 1 1 1 0 3 2 0 3 1 2 2 2 2 0 0 1 0 0 0 2 3 2 1 1 0 1 0
+ 0 0 1 0 0 2 0 1 1 0 2 2 2 2 0 0 0 0 1 0 1 0 1 1 0 0 1 0 3 2 2 0 0 1 0 0 0
+ 1 1 0 2 2 0 1 1 1 1 0 0 0 0 0 0 1 0 0 1 1 0 1 1 1 0 0 0 0 0 0 1]
+
    +
    +
    +
    +
    +
    +

    R Code 12.8

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+zeros_drink = np.sum(drink)
+zeros_work = np.sum((y == 0) * (drink == 0))  # and
+zeros_total = np.sum( y==0 )
+
+plt.bar(0, zeros_total, color='black', alpha=0.5, label='From Drinks')
+plt.bar(0, zeros_work, color='blue', label='From Works (Poisson)')
+
+for i in range(1, max(y)):
+    plt.bar(i, np.sum(y == i), color='blue')
+
+plt.xlim(-1, max(y))
+
+plt.title('Zero Inflated Poisson \n Monks drinks and work')
+plt.xlabel('Manuscript Completed')
+plt.ylabel('Frequency')
+
+plt.legend()
+plt.show()
+
    +
    +
    +
    +_images/parte_12_43_0.png +
    +
    +
    +
    +

    R Code 12.9

    +

    The zero-inflated Poisson model:

    +
    +\[ y_i \sim ZIPoisson(p_i, \lambda_i) \]
    +
    +\[ logit(p_i) = a_p \]
    +
    +\[ log(\lambda_i) = a_\lambda \]
    +
    +\[ a_p \sim normal(-1.5, 1) \]
    +
    +\[ a_l \sim normal(1, 0.5) \]
    +
    +

    Zero Inflation

    +

    Consider the following example for zero-inflated Poisson distributions.

    +
      +

    • There is a probability \(\theta\) of observing a zero, and

      • +

    • a probability \(1 - \theta\) of observing a count with a \(Poisson(\lambda)\) distribution

      • +
    +

    (now \(\theta\) is being used for mixing proportions because \(\lambda\) is the traditional notation for a Poisson mean parameter). Given the probability \(\theta\) and the intensity \(\lambda\), the distribution for \(y_n\) can be written as:

    +
    +\[\begin{split} +y_n \sim +\begin{cases} + 0 & \quad\text{with probability } \theta, \text{ and}\\ + \textsf{Poisson}(y_n \mid \lambda) & \quad\text{with probability } 1-\theta. +\end{cases} +\end{split}\]
    +

    Stan does not support conditional sampling statements (with \(\sim\)) conditional on some parameter, and we need to consider the corresponding likelihood:

    +
    +\[\begin{split} +p(y_n \mid \theta,\lambda) += +\begin{cases} +\theta + (1 - \theta) \times \textsf{Poisson}(0 \mid \lambda) & \quad\text{if } y_n = 0, \text{ and}\\ +(1-\theta) \times \textsf{Poisson}(y_n \mid \lambda) &\quad\text{if } y_n > 0. +\end{cases} +\end{split}\]
    +

    The log likelihood can be implemented directly in Stan (with target +=) as follows.

    +

    The mixture can be implemented as:

    +

    or equivalently,

    +

    This definition assumes that each observation \(y_n\) may have arisen from either of the mixture components. The density is:

    +
    +\[ +p\left(y \mid \lambda, \mu, \sigma\right) += \prod_{n=1}^N \big(\lambda \times \textsf{normal}\left(y_n \mid \mu_1, \sigma_1 \right) + + (1 - \lambda) \times \textsf{normal}\left(y_n \mid \mu_2, \sigma_2 \right)\big) +\]
    +
    +

    real log_mix(real theta, real lp1, real lp2)

    +

    Return the log mixture of the log densities \(lp1\) and \(lp2\) with mixing proportion theta, defined by:

    +
    +\[\begin{split} +\begin{eqnarray*} +\mathrm{log\_mix}(\theta, \lambda_1, \lambda_2) & = & \log \!\left( +\theta \exp(\lambda_1) + \left( 1 - \theta \right) \exp(\lambda_2) +\right) \\[3pt] & = & \mathrm{log\_sum\_exp}\!\left(\log(\theta) + +\lambda_1, \ \log(1 - \theta) + \lambda_2\right). \end{eqnarray*} +\end{split}\]
    +

    ref: Stan Docs

    +
    +
      +

    • In example below, used this:

      • +
    +
    +\[ \theta == p \]
    +

    Refs:

    + +
    +
    +
    # Prioris
+ap = np.random.normal(-1.5, 1, 1000)
+al = np.random.normal(1, 0.5, 1000)
+
+p = inv_logit(ap)
+lam = np.exp(al)
+
+plt.figure(figsize=(17, 5))
+plt.hist(p)
+plt.title('Prior | p to Binomial')
+plt.show()
+
+plt.figure(figsize=(17, 5))
+plt.hist(lam)
+plt.title('Prior | $\lambda$ to Poisson')
+plt.show()
+
    +
    +
    +
    +_images/parte_12_46_0.png +_images/parte_12_46_1.png +
    +
    +
    +
    +
    model = """
+    data {
+        int<lower=0> N;
+        array[N] int<lower=0> y;
+    }
+    
+    parameters {
+        real al;
+        real ap;
+    }
+    
+    model {
+        real p;
+        real lambda;
+        
+        // Prior
+        ap ~ normal(-1.5, 1);
+        al ~ normal(1, 0.5);
+        
+        // Link functions
+        p = inv_logit(ap);
+        lambda = exp(al);
+        
+        // Likelihood
+        for (i in 1:N){
+            if (y[i] == 0) target += log_mix(p, 0, poisson_lpmf(0 | lambda));
+            if (y[i] > 0)  target += log1m(p) + poisson_lpmf(y[i] | lambda);
+        }
+    }
+"""
+
+dat_list = {
+    'N': len(y),
+    'y': y,
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_12_3 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=['y']
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_12_3, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    al-0.0700.081-0.1940.0600.0020.0021431.01763.01.0
    ap-1.9830.526-2.791-1.2080.0140.0101495.01810.01.0
    +
    +
    +
    +
    +
    +

    R Code 12.10

    +
    +
    +
    print('Results: ')
+print(' - p estimated: ', np.round(np.mean(inv_logit(model_12_3.posterior.ap.values.flatten())), 2), ' \t\t p original: ', prob_drink)
+print(' - lambda estimated: ', np.round(np.mean(np.exp(model_12_3.posterior.al.values.flatten())), 2), ' \t estimated original: ', rate_work)
+
    +
    +
    +
    +
    Results: 
+ - p estimated:  0.13  		 p original:  0.2
+ - lambda estimated:  0.94  	 estimated original:  1
+
    +
    +
    +
    +
    +
    +

    R Code 12.11

    +
    +
    +
    # This code is the same code that R Code 12.09
+# In this book is stan version
+
    +
    +
    +
    +
    +
    +
    +

    12.3 Ordered Categorical outcomes

    +
    +

    12.3.2 Describing an ordered distribution with intercepts

    +
    +
    +

    R Code 12.12

    +
    +
    +
    df = pd.read_csv('./data/Trolley.csv', sep=';')
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    caseresponseorderidagemaleeduactionintentioncontactstoryaction2
    0cfaqu4296;434140Middle School001aqu1
    1cfbur33196;434140Middle School001bur1
    2cfrub41696;434140Middle School001rub1
    3cibox33296;434140Middle School011box1
    4cibur3496;434140Middle School011bur1
    .......................................
    9925ilpon32398;299661Graduate Degree010pon0
    9926ilsha61598;299661Graduate Degree010sha0
    9927ilshi7798;299661Graduate Degree010shi0
    9928ilswi21898;299661Graduate Degree010swi0
    9929nfrub21798;299661Graduate Degree100rub1
    +

    9930 rows × 12 columns

    +
    +
    +
    +
    +

    R Code 12.13

    +
    +
    +
    plt.figure(figsize=(17, 6))
+plt.hist(df.response, bins=list(np.sort(df.response.unique())) )
+plt.xlabel('response')
+plt.ylabel('frequency')
+plt.show()
+
    +
    +
    +
    +_images/parte_12_59_0.png +
    +
    +
    +
    +

    R Code 12.14

    +
    +
    +
    cum_pr_k = df.response.sort_values().value_counts(normalize=True, sort=False).cumsum()
+
+plt.figure(figsize=(17, 6))
+plt.plot(cum_pr_k, marker='o')
+plt.xlabel('response')
+plt.ylabel('cumulative proportional')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_12_61_0.png +
    +
    +
    +
    +

    R Code 12.15

    +

    Where the \(\alpha_k\) is a “intercept” to all values of \(k\).

    +
    +\[ log \frac{Pr(y_i \leq k)}{1 - Pr(y_i \leq k)} = \alpha_k \]
    +
    +
    +
    lco = [logit(cum_pr_k_i) for cum_pr_k_i in cum_pr_k ]
+np.round(lco, 2)
+
    +
    +
    +
    +
    /tmp/ipykernel_32026/1412855160.py:4: RuntimeWarning: invalid value encountered in log
+  return np.log(p) - np.log(1 - p)
+
    +
    +
    array([-1.92, -1.27, -0.72,  0.25,  0.89,  1.77,   nan])
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+plt.plot(lco[:-1], marker='o')
+plt.xlabel('response')
+plt.ylabel('log-cumulative-odds')
+plt.show()
+
    +
    +
    +
    +_images/parte_12_65_0.png +
    +
    +
    +
    +
    np.round([ inv_logit(l) for l in lco ], 2)
+
    +
    +
    +
    +
    array([0.13, 0.22, 0.33, 0.56, 0.71, 0.85,  nan])
+
    +
    +
    +
    +
    +
    +

    RCode 12.16

    +
    +

    1.8 Ordered logistic and probit regression (Stan Docs)

    +

    Ref: Stan - Docs

    +
    +
    +
    model = """
+    data {
+        int<lower=0> N;
+        int<lower=2> K;
+        array[N] int response;
+    }
+    
+    parameters {
+        ordered[K - 1] cutpoints;
+    }
+    
+    model {
+        cutpoints ~ normal(0, 1.5);
+        
+        for (i in 1:N){
+            response[i] ~ ordered_logistic(0, cutpoints);
+        }
+        
+    }
+"""
+
+dat_list = {
+    'N': len(df),
+    'K': len(df.response.unique()),
+    'response': list(df.response.values),
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_12_4 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=list(dat_list.keys()),
+)
+
    +
    +
    +
    +
    +
    +
    +

    R Code 12.17

    +

    This code used quap intead of ulam and demonstre differences between.

    +
    +
    +

    R Code 12.18

    +
    +
    +
    az.summary(model_12_4, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    cutpoints[0]-1.9180.030-1.966-1.8710.0010.02717.02869.01.0
    cutpoints[1]-1.2670.024-1.305-1.2280.0000.03613.03488.01.0
    cutpoints[2]-0.7190.021-0.750-0.6820.0000.04018.03520.01.0
    cutpoints[3]0.2470.0200.2160.2790.0000.04369.03136.01.0
    cutpoints[4]0.8900.0220.8540.9250.0000.04106.03244.01.0
    cutpoints[5]1.7700.0291.7241.8160.0000.04670.03467.01.0
    +
    +
    +
    +
    +

    R Code 12.19

    +
    +
    +
    az.plot_forest(model_12_4, combined=True, figsize=(17, 5), transform=inv_logit, hdi_prob=0.89)
+plt.show()
+
    +
    +
    +
    +_images/parte_12_76_0.png +
    +
    +
    +
    +
    az.summary(inv_logit(model_12_4.posterior.cutpoints), hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    cutpoints[0]0.1280.0030.1230.1330.00.02717.02869.01.0
    cutpoints[1]0.2200.0040.2130.2260.00.03613.03488.01.0
    cutpoints[2]0.3280.0050.3210.3360.00.04018.03520.01.0
    cutpoints[3]0.5620.0050.5540.5690.00.04369.03136.01.0
    cutpoints[4]0.7090.0050.7010.7160.00.04106.03244.01.0
    cutpoints[5]0.8540.0040.8490.8600.00.04670.03467.01.0
    +
    +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    11 - A cravada de Deus e Inteiros

    +
    +     + +
    +

    next

    +

    13 - Modelos com Memória

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_13.html b/parte_13.html new file mode 100644 index 0000000..9677386 --- /dev/null +++ b/parte_13.html @@ -0,0 +1,4763 @@ + + + + + + + + 13 - Modelos com Memória — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    13 - Modelos com Memória

    +
    +

    Imports, loadings and functions

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+# from causalgraphicalmodels import CausalGraphicalModel  # Just work in < python3.9 
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +
    +
    # Utils functions
+
+def logit(p):
+    return np.log(p) - np.log(1 - p)
+
+def inv_logit(p):
+    return np.exp(p) / (1 + np.exp(p))
+
    +
    +
    +
    +
    +
    +

    13.1 Example: Multilevel tadpoles

    +
    +

    R Code 13.1

    +
    +
    +
    df = pd.read_csv('./data/reedfrogs.csv', sep=";")
+df['tank'] = df.index.to_list()
+df['tank'] += 1  # index start from 1 like Stan works
+df
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    densitypredsizesurvpropsurvtank
    010nobig90.9000001
    110nobig101.0000002
    210nobig70.7000003
    310nobig101.0000004
    410nosmall90.9000005
    510nosmall90.9000006
    610nosmall101.0000007
    710nosmall90.9000008
    810predbig40.4000009
    910predbig90.90000010
    1010predbig70.70000011
    1110predbig60.60000012
    1210predsmall70.70000013
    1310predsmall50.50000014
    1410predsmall90.90000015
    1510predsmall90.90000016
    1625nobig240.96000017
    1725nobig230.92000018
    1825nobig220.88000019
    1925nobig251.00000020
    2025nosmall230.92000021
    2125nosmall230.92000022
    2225nosmall230.92000023
    2325nosmall210.84000024
    2425predbig60.24000025
    2525predbig130.52000026
    2625predbig40.16000027
    2725predbig90.36000028
    2825predsmall130.52000029
    2925predsmall200.80000030
    3025predsmall80.32000031
    3125predsmall100.40000032
    3235nobig340.97142933
    3335nobig330.94285734
    3435nobig330.94285735
    3535nobig310.88571436
    3635nosmall310.88571437
    3735nosmall351.00000038
    3835nosmall330.94285739
    3935nosmall320.91428640
    4035predbig40.11428641
    4135predbig120.34285742
    4235predbig130.37142943
    4335predbig140.40000044
    4435predsmall220.62857145
    4535predsmall120.34285746
    4635predsmall310.88571447
    4735predsmall170.48571448
    +
    +
    +
    +
    +
    df.describe()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    densitysurvpropsurvtank
    count48.00000048.00000048.00000048.00
    mean23.33333316.3125000.72160724.50
    std10.3827469.8847750.26641614.00
    min10.0000004.0000000.1142861.00
    25%10.0000009.0000000.49642912.75
    50%25.00000012.5000000.88571424.50
    75%35.00000023.0000000.92000036.25
    max35.00000035.0000001.00000048.00
    +
    +
    +
    +
    +

    R Code 13.2

    +
    +\[ S_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{TANK[i]} \]
    +
    +\[ \alpha_j \sim Normal(0, 1.5), \mbox{ for } j \in \{1, 48\}\]
    +
    +
    +
    model = """
+    data {
+        int qty;
+        array[qty] int N;  // Total quantities that have tadpoles in tank
+        array[qty] int survival;  // How many tadpoles survival
+        array[qty] int tank;  // Tank index
+    }
+    
+    parameters {
+        vector[qty] alpha;
+    }
+    
+    model {
+        vector[qty] p;
+        
+        alpha ~ normal(0, 1.5);
+        
+        for (i in 1:qty){
+            p[i] = alpha[ tank[i] ];
+            p[i] = inv_logit(alpha[i]);
+        }
+        
+        survival ~ binomial(N, p);
+        
+    }
+"""
+
+dat_list = {
+    'qty': len(df),
+    'tank': df['tank'].to_list(),
+    'survival': df['surv'].to_list(),
+    'N': df['density'].to_list()
+}
+
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_1 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_1, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]1.7290.7820.4732.9540.0110.0095033.02899.01.00
    alpha[1]2.3970.8960.9603.8100.0120.0105933.02874.01.00
    alpha[2]0.7610.627-0.2471.7490.0080.0085851.02858.01.00
    alpha[3]2.3970.8730.9893.7290.0100.0097616.02956.01.00
    alpha[4]1.7210.7680.5182.9390.0100.0096444.02264.01.00
    alpha[5]1.6970.7510.4652.8710.0090.0086611.02922.01.00
    alpha[6]2.4170.8911.0383.8230.0120.0106037.03012.01.00
    alpha[7]1.7240.8040.3822.8970.0100.0096642.02708.01.00
    alpha[8]-0.3690.616-1.3480.5800.0090.0095099.03129.01.00
    alpha[9]1.7290.7740.4682.9320.0110.0095226.02840.01.00
    alpha[10]0.7600.649-0.2941.7670.0080.0086808.02797.01.00
    alpha[11]0.3740.618-0.6151.3360.0080.0096522.02646.01.00
    alpha[12]0.7500.624-0.2321.7330.0080.0076833.02804.01.00
    alpha[13]0.0040.593-0.9230.9530.0080.0105845.02809.01.00
    alpha[14]1.7210.7800.4572.8930.0110.0095877.02668.01.00
    alpha[15]1.7310.7730.5492.9680.0110.0095508.02657.01.00
    alpha[16]2.5470.6751.4653.5910.0090.0076075.02900.01.00
    alpha[17]2.1410.6061.2103.1120.0090.0074941.02607.01.00
    alpha[18]1.8150.5330.9422.6300.0070.0065376.02942.01.00
    alpha[19]3.1000.8231.8614.3920.0110.0095902.02957.01.00
    alpha[20]2.1490.6191.1473.0970.0100.0084751.02430.01.00
    alpha[21]2.1240.5861.2153.0520.0080.0075953.02490.01.00
    alpha[22]2.1400.6131.1923.0980.0080.0075610.02987.01.00
    alpha[23]1.5510.5230.6952.3240.0070.0066228.02590.01.00
    alpha[24]-1.0890.436-1.818-0.4080.0050.0047119.02925.01.00
    alpha[25]0.0760.397-0.5560.7010.0050.0076264.02929.01.00
    alpha[26]-1.5480.505-2.323-0.7090.0070.0056025.02769.01.00
    alpha[27]-0.5540.402-1.1770.1000.0050.0046636.02947.01.00
    alpha[28]0.0810.407-0.5930.6890.0050.0075490.02935.01.00
    alpha[29]1.3100.4800.5322.0390.0060.0057013.02854.01.00
    alpha[30]-0.7320.407-1.422-0.1240.0060.0045134.02874.01.00
    alpha[31]-0.3980.387-1.0260.2130.0050.0055524.02954.01.00
    alpha[32]2.8310.6511.8273.8200.0090.0075118.03261.01.00
    alpha[33]2.4750.6001.5423.4140.0090.0075083.02667.01.00
    alpha[34]2.4480.5811.4673.3320.0070.0066680.02426.01.00
    alpha[35]1.9050.4811.1612.7140.0060.0056105.02837.01.00
    alpha[36]1.9060.4641.1392.6000.0060.0056146.03053.01.00
    alpha[37]3.3520.7782.0974.5280.0110.0085970.02790.01.00
    alpha[38]2.4450.5831.5243.3340.0080.0066204.03449.01.00
    alpha[39]2.1640.5241.3833.0510.0070.0066301.02722.01.00
    alpha[40]-1.9040.479-2.635-1.1220.0060.0047453.02977.01.00
    alpha[41]-0.6370.355-1.205-0.0780.0040.0046393.03005.01.00
    alpha[42]-0.5110.339-1.0060.0740.0040.0045884.02943.01.01
    alpha[43]-0.3950.336-0.9300.1380.0040.0045973.02821.01.00
    alpha[44]0.5070.347-0.0331.0680.0040.0046663.02982.01.00
    alpha[45]-0.6310.346-1.185-0.0740.0050.0045811.02715.01.00
    alpha[46]1.9050.4801.1522.6370.0060.0056090.02761.01.00
    alpha[47]-0.0530.334-0.5460.5230.0040.0066006.02621.01.00
    +
    +
    +
    +
    +
    az.plot_forest(model_13_1, hdi_prob=0.89, combined=True, figsize=(17, 20))
+
+plt.grid(axis='y', c='white', alpha=0.3)
+plt.show()
+
    +
    +
    +
    +_images/parte_13_16_0.png +
    +
    +
    +
    +

    R Code 13.3

    +
    +

    Multilevel model Tadpole

    +
    +\[ S_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{TANK[i]} \]
    +
    +\[ \alpha[j] \sim Normal(\bar{\alpha}, \sigma) \mbox{ - [Adaptative prior]} \]
    +
    +\[ \bar{\alpha} \sim Normal(0, 1.5) \mbox{ - [prior to average tank]} \]
    +
    +\[ \sigma \sim Exponential(1) \mbox{ - [prior for standard deviation of tanks]} \]
    +
    +
    +
    model = """
+    data {
+        int qty;
+        array[qty] int N;
+        array[qty] int survival;
+        array[qty] int tank;
+    }
+    
+    parameters {
+        vector[qty] alpha;
+        real bar_alpha;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[qty] p;
+        
+        alpha ~ normal(bar_alpha, sigma);
+        
+        bar_alpha ~ normal(0, 1.5);
+        sigma ~ exponential(1);
+        
+        for (i in 1:qty){
+            p[i] = alpha[ tank[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+    
+        survival ~ binomial(N, p);
+    }
+"""
+
+
+dat_list = {
+    'qty': len(df),
+    'tank': df['tank'].to_list(),
+    'survival': df['surv'].to_list(),
+    'N': df['density'].to_list()
+}
+
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_2 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys(),
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_2, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]2.1200.8780.6383.3640.0130.0115103.02774.01.0
    alpha[1]3.0421.0901.2344.6490.0170.0134432.03020.01.0
    alpha[2]1.0120.678-0.0092.1450.0090.0085420.02781.01.0
    alpha[3]3.0671.1341.2124.6800.0200.0173701.02066.01.0
    alpha[4]2.1430.8870.7873.5550.0130.0115244.02510.01.0
    alpha[5]2.1220.8640.7823.4570.0120.0105285.02885.01.0
    alpha[6]3.0761.1221.1594.6660.0170.0145095.02384.01.0
    alpha[7]2.1340.8710.6813.3700.0130.0104979.02943.01.0
    alpha[8]-0.1760.624-1.0970.8840.0090.0104791.02630.01.0
    alpha[9]2.1310.8560.8703.5160.0120.0105257.02688.01.0
    alpha[10]1.0090.657-0.0592.0310.0090.0085011.02379.01.0
    alpha[11]0.5780.643-0.4101.6250.0090.0085160.03014.01.0
    alpha[12]1.0020.6430.0182.0310.0090.0075615.03058.01.0
    alpha[13]0.2050.619-0.8181.1320.0080.0105383.02795.01.0
    alpha[14]2.1440.8500.8113.4560.0130.0114588.02692.01.0
    alpha[15]2.1300.8880.7423.5030.0130.0115481.02815.01.0
    alpha[16]2.9300.8081.7724.2820.0120.0095486.02837.01.0
    alpha[17]2.4140.6731.3513.4670.0100.0084980.02624.01.0
    alpha[18]2.0290.5961.0782.9650.0100.0083769.02496.01.0
    alpha[19]3.6680.9982.0605.1290.0150.0124742.02956.01.0
    alpha[20]2.4010.6961.2943.4750.0100.0085393.02721.01.0
    alpha[21]2.4000.6521.3543.3780.0100.0084742.02220.01.0
    alpha[22]2.4020.6571.3793.4360.0110.0084170.02524.01.0
    alpha[23]1.7050.5400.8622.5570.0080.0064555.02817.01.0
    alpha[24]-0.9990.449-1.655-0.2440.0060.0055423.02412.01.0
    alpha[25]0.1630.400-0.4910.8000.0050.0065549.02698.01.0
    alpha[26]-1.4290.503-2.269-0.6870.0080.0064286.02894.01.0
    alpha[27]-0.4830.410-1.1480.1600.0060.0055325.03363.01.0
    alpha[28]0.1570.388-0.4890.7430.0060.0054797.02966.01.0
    alpha[29]1.4380.4790.6572.1660.0060.0055631.03250.01.0
    alpha[30]-0.6370.412-1.2590.0530.0060.0055600.02739.01.0
    alpha[31]-0.3170.395-1.0020.2560.0060.0065105.02842.01.0
    alpha[32]3.1880.7711.9634.3340.0120.0094968.02644.01.0
    alpha[33]2.7140.6391.6853.6930.0090.0074885.03002.01.0
    alpha[34]2.7150.6571.7053.7730.0100.0084591.02027.01.0
    alpha[35]2.0720.5191.2552.8870.0080.0064743.02557.01.0
    alpha[36]2.0610.5141.2912.9090.0080.0064889.02645.01.0
    alpha[37]3.8930.9552.4365.3870.0150.0124467.02872.01.0
    alpha[38]2.7020.6411.7673.7520.0100.0084560.02247.01.0
    alpha[39]2.3540.5621.4333.1870.0090.0074042.02801.01.0
    alpha[40]-1.7990.474-2.528-1.0320.0070.0054750.02938.01.0
    alpha[41]-0.5730.355-1.133-0.0060.0050.0044697.02564.01.0
    alpha[42]-0.4560.345-1.0010.0960.0050.0045231.03157.01.0
    alpha[43]-0.3340.343-0.8720.2260.0050.0044927.03032.01.0
    alpha[44]0.5820.3450.0411.1430.0050.0044770.03146.01.0
    alpha[45]-0.5730.366-1.1630.0080.0050.0045334.03158.01.0
    alpha[46]2.0690.5221.2852.9190.0080.0064822.02614.01.0
    alpha[47]-0.0000.340-0.5240.5520.0050.0065063.02720.01.0
    bar_alpha1.3460.2600.9401.7580.0050.0033131.02923.01.0
    sigma1.6180.2161.2631.9400.0040.0032491.03083.01.0
    +
    +
    +
    +
    +
    az.plot_forest(model_13_2, hdi_prob=0.89, combined=True, figsize=(17, 20))
+
+plt.grid(axis='y', color='white', alpha=0.3)
+plt.show()
+
    +
    +
    +
    +_images/parte_13_22_0.png +
    +
    +
    +
    +
    +

    R Code 13.4

    +
    +
    +
    # az.compare(model_13_1, model_13_2)
+
    +
    +
    +
    +
    +
    +

    R Code 13.5

    +
    +
    +
    means = [ model_13_2.posterior.alpha.sel(alpha_dim_0=(i-1)).values.flatten().mean() for i in df.tank ]
+means = inv_logit(means)
+
    +
    +
    +
    +
    +
    +
    # My test, this is not originaly in book
+means_13_1 = [ model_13_1.posterior.alpha.sel(alpha_dim_0=(i-1)).values.flatten().mean() for i in df.tank ]
+means_13_1 = inv_logit(means_13_1)
+
    +
    +
    +
    +
    +
    +
    bar_alpha_log = model_13_2.posterior.bar_alpha.values.flatten()
+bar_alpha = inv_logit(bar_alpha_log)
+bar_alpha_mean = bar_alpha.mean() 
+
+sigma_log = model_13_2.posterior.sigma.values.flatten()
+sigma = inv_logit(sigma_log)
+sigma_mean = sigma.mean()
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+plt.ylim = ([0, 1])
+
+plt.scatter(df.tank, means, edgecolors='black', c='lightgray', s=100)
+plt.scatter(df.tank, means_13_1, edgecolors='yellow', c='lightgray', s=100, alpha=0.4)
+plt.scatter(df.tank, df.propsurv, c='blue')
+
+
+plt.axvline(x=15.5, ls='--', color='white', alpha=0.3)
+plt.axvline(x=31.5, ls='--', color='white', alpha=0.3)
+
+plt.axhline(y=bar_alpha_mean, ls='--', c='black', alpha=0.7)
+
+plt.text(4, 0.05, 'Small Tank', size=12)
+plt.text(22, 0.05, 'Medium Tank', size=12)
+plt.text(40, 0.05, 'Large Tank', size=12)
+
+plt.gca().set_ylim(0.0, 1.05)
+
+plt.title('Tadpole survival Tanks')
+plt.xlabel('Tank Index')
+plt.ylabel('Porportion Survival')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_13_29_0.png +
    +
    +
      +

    • Blue dot: Proportion survival s_i/N_i

      • +

    • Black circle: Multilevel model estimative

      • +

    • Light Yellow: No-pooling estimative

      • +
    +
    +
    +

    R Code 13.6

    +
    +
    +
    fig = plt.figure(figsize=(17, 6))
+gs = GridSpec(1, 2)
+
+x = np.linspace(-3, 4)
+
+s_sampled = 500
+
+ax1 = fig.add_subplot(gs[0, 0])
+log_odds_survival = []
+log_odds_sampled_index = np.random.choice(len(bar_alpha_log) ,size=s_sampled, replace=False)
+
+for i in log_odds_sampled_index:
+    log_odds_survival.append(stats.norm.pdf(x, bar_alpha_log[i], sigma_log[i]))
+
+for i in range(s_sampled):
+    ax1.plot(x, log_odds_survival[i], c='darkblue', linewidth=0.05)
+ax1.set_title('Survival across Tank')
+ax1.set_xlabel('log_odds survival')
+ax1.set_ylabel('Density')
+    
+
+ax2 = fig.add_subplot(gs[0, 1])
+samples_log = np.random.normal(bar_alpha_log, sigma_log)
+ax2.hist(inv_logit(samples_log), rwidth=0.9, color='darkblue', density=True)
+ax2.axvline(x=np.mean(inv_logit(samples_log)), c='black', ls='--')
+ax2.text(np.mean(inv_logit(samples_log))+0.01, 2.5, 'Mean')
+
+ax2.set_title('Survival probabilities simulations')
+ax2.set_xlabel('Probability survival')
+ax2.set_ylabel('Density')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_13_32_0.png +
    +
    +
    +
    +
    +

    13.2 Varing effects and underfitting/overfitting trade-off

    +

    The model

    +
    +\[ S_i \sim Binomial(N_i, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{POND[i]} \]
    +
    +\[ \alpha_j \sim Normal(\bar{\alpha}, \sigma) \]
    +
    +\[ \bar{\alpha} \sim Normal(0, 1.5) \]
    +
    +\[ \sigma \sim Exponential(1) \]
    +

    \(\bar{\alpha} := \) the avegare log-oods fo survival in the entire population of ponds

    +

    \(\sigma := \) the standard deviation of the distribution of log-oods of survivial among ponds

    +

    \(\alpha := \) a vector of individual pond intercepts, one for each pond

    +
    +

    R Code 13.7

    +
    +
    +
    a_bar = 1.5
+sigma = 1.5
+nponds = 60
+
+repeats = 15
+
+Ni = np.repeat([5, 10, 25, 35], repeats=repeats)
+
    +
    +
    +
    +
    +
    +

    R Code 13.8

    +
    +
    +
    a_pond = np.random.normal(loc=a_bar, scale=sigma, size=nponds)
+
    +
    +
    +
    +
    +
    +

    R Code 13.9

    +
    +
    +
    d = {
+    'pond': np.arange(nponds) + 1,
+    'Ni':Ni,
+    'true_a': a_pond,
+}
+
+dsim = pd.DataFrame(data=d)
+dsim.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    pondNitrue_a
    0151.812547
    1250.484266
    2352.273773
    3451.495332
    4551.674099
    +
    +
    +
    +
    +

    R Code 13.10

    +
    +
    +
    # Code in R -> integer vs numeric
+
    +
    +
    +
    +
    +
    +

    R Code 13.11

    +
    +
    +
    dsim['Si'] = np.random.binomial(n=dsim['Ni'], p=inv_logit(dsim['true_a']))
+dsim.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    pondNitrue_aSi
    0151.8125475
    1250.4842664
    2352.2737733
    3451.4953323
    4551.6740995
    +
    +
    +
    +
    +

    R Code 13.12

    +
    +

    13.2.4 Compute the no-pooling estimates

    +
    +
    +
    dsim['p_nopool'] = dsim['Si'] / dsim['Ni']
+dsim.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    pondNitrue_aSip_nopool
    0151.81254751.0
    1250.48426640.8
    2352.27377330.6
    3451.49533230.6
    4551.67409951.0
    +
    +
    +
    +
    +
    +

    R Code 13.13

    +
    +

    13.2.5 Compute the partial-pooling estimates

    +
    +
    +
    model = """
+    data {
+        int N;
+        array[N] int pond;  // Pond index
+        array[N] int Ni;  // Population in pond[i]
+        array[N] int Si;  // Survivals from Ni pond
+    }
+    
+    parameters {
+        vector[N] alpha;
+        real bar_alpha;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] pi;
+        
+        // Link
+            for (i in 1:N) {
+                pi[i] = alpha[ pond[i] ];
+                pi[i] = inv_logit(pi[i]);
+            }
+        
+        // Prior
+        alpha ~ normal(bar_alpha, sigma);
+        
+        // Hyper Prior
+        bar_alpha ~ normal(0, 1.5);
+        sigma ~ exponential(1);
+    
+        // Likelihood
+        Si ~ binomial(Ni, pi);
+    }
+"""
+
+
+dat_list = {
+    'N': len(dsim),
+    'Ni': dsim['Ni'].to_list(),
+    'pond': dsim['pond'].to_list(),
+    'Si': dsim['Si'].to_list(),
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    +

    R Code 13.14

    +
    +
    +
    model_13_3 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_3, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]2.7871.2410.9194.7990.0190.0164867.02442.01.0
    alpha[1]1.5620.969-0.0343.0210.0140.0125222.02609.01.0
    alpha[2]0.7210.865-0.7282.0380.0120.0125554.02651.01.0
    alpha[3]0.7280.854-0.5872.1180.0130.0124619.02732.01.0
    alpha[4]2.7591.2520.7614.6860.0190.0154595.02736.01.0
    ..............................
    alpha[57]4.0171.0332.4465.5690.0170.0144304.02100.01.0
    alpha[58]1.4300.4100.7822.1050.0060.0045454.03090.01.0
    alpha[59]1.1150.3840.4511.6900.0050.0045327.03270.01.0
    bar_alpha1.4420.2541.0261.8350.0040.0033741.02961.01.0
    sigma1.7000.2361.3202.0460.0060.0041522.02025.01.0
    +

    62 rows × 9 columns

    +
    +
    +
    +
    +

    R Code 13.15

    +
    +
    +
    dsim['p_partpool'] = [inv_logit(model_13_3.posterior.alpha.sel(alpha_dim_0=i).values.mean()) for i in range(len(dsim))]
+dsim.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    pondNitrue_aSip_nopoolp_partpool
    0151.81254751.00.941987
    1250.48426640.80.826685
    2352.27377330.60.672823
    3451.49533230.60.674364
    4551.67409951.00.940440
    +
    +
    +
    +
    +

    R Code 13.16

    +
    +
    +
    dsim['p_true'] = inv_logit(dsim['true_a'])
+dsim.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    pondNitrue_aSip_nopoolp_partpoolp_true
    0151.81254751.00.9419870.859669
    1250.48426640.80.8266850.618755
    2352.27377330.60.6728230.906681
    3451.49533230.60.6743640.816877
    4551.67409951.00.9404400.842122
    +
    +
    +
    +
    +

    R Code 13.17

    +
    +
    +
    no_pool_error = np.abs(dsim['p_nopool'] - dsim['p_true'])
+partpool_error = np.abs(dsim['p_partpool'] - dsim['p_true'])
+
    +
    +
    +
    +
    +
    +

    R Code 13.18

    +
    +
    +
    plt.figure(figsize=(17, 8))
+plt.ylim = ([0, 1])
+max_lim_graph = 0.3
+
+plt.scatter(dsim.pond, partpool_error, edgecolors='black', c='lightgray', s=100)
+plt.scatter(dsim.pond, no_pool_error, c='blue')
+
+qty_unique_ponds = len(dsim['Ni'].unique())
+qty_each_ponds = repeats  # The number of repetitions for each element in each pond.
+
+
+# Vertical lines
+for i in range(qty_unique_ponds):
+    plt.axvline(x=qty_each_ponds*(i+1) + 0.5, ls='--', color='white', alpha=0.3)
+    
+    partpool_error_mean = np.mean(partpool_error[(qty_each_ponds*i):(qty_each_ponds*(i+1))])
+    no_pool_error_mean = np.mean(no_pool_error[(qty_each_ponds*i):(qty_each_ponds*(i+1))])
+    
+    plt.hlines(y=partpool_error_mean, xmin=1+(qty_each_ponds*i), xmax=qty_each_ponds+(qty_each_ponds*i), ls='--', colors='black', alpha=0.7)
+    plt.hlines(y=no_pool_error_mean, xmin=1+(qty_each_ponds*i), xmax=qty_each_ponds+(qty_each_ponds*i), ls='-', colors='blue', alpha=0.7)
+
+score_no_pooling = 0
+score_partial_pooling = 0
+    
+for i in dsim.pond:
+    if no_pool_error[i-1] >= partpool_error[i-1]:  # partial polling is better
+        plt.vlines(x=i, ymin=no_pool_error[i-1], ymax=partpool_error[i-1], ls='--', colors='green', alpha=0.3)
+        score_partial_pooling += no_pool_error[i-1] - partpool_error[i-1]  # How partial pooling is better
+        
+    else:  # no pooling is better
+        plt.vlines(x=i, ymin=no_pool_error[i-1], ymax=partpool_error[i-1], ls='--', colors='red', alpha=0.3)
+        score_no_pooling += partpool_error[i-1] - no_pool_error[i-1]  # How no pooling is better
+
+plt.text(7, max_lim_graph, 'Tiny Ponds ($5$)', size=12)
+plt.text(21, max_lim_graph, 'Small Ponds ($10$)', size=12)
+plt.text(35, max_lim_graph, 'Medium Ponds ($25$)', size=12)
+plt.text(50, max_lim_graph, 'Large Ponds ($35$)', size=12)
+
+plt.text(47, 0.25, f'Partial pooling is better by = {round(score_partial_pooling, 2)}')
+plt.text(47, 0.24, f'No pooling is better by = {round(score_no_pooling, 2)}')
+plt.text(47, 0.23, f'Partial Polling/No polling = {round((score_partial_pooling/score_no_pooling)*100, 2)}%')
+
+
+plt.gca().set_ylim(-0.01, max_lim_graph + 0.05)
+
+plt.title('Pond survival error absolute \n\n Black dash line = partial pooling \n Blue line = no pooling')
+plt.xlabel('Pond Index')
+plt.ylabel('Absolute Error')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_13_62_0.png +
    +
    +
    +
    +

    R Code 13.20

    +
    +
    +
    # Reuse code in using Rethinking packages in R, here is automatically reuse!
+# Just re-run from R Code 13.7
+
    +
    +
    +
    +
    +
    +
    +

    13.3 More than one type of cluster

    +
    +

    Multilevel Chimpanzees

    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \alpha_{ACTOR[i]} + \gamma_{BLOCK[i]} + \beta_{TREATMENT[i]} \]
    +
    +\[ \beta_j \sim Normal(0, 0.5) \mbox{ , } j \in \{1, ... ,4\} \]
    +
    +\[ \alpha_j \sim Normal(\bar{\alpha}, \sigma_\alpha) \mbox{ , } j \in \{1, ... ,7\} \]
    +
    +\[ \gamma_j \sim Normal(0, \sigma_\gamma) \mbox{ , } j \in \{1, ... ,6\} \]
    +
    +\[ \bar{\alpha} \sim Normal(0, 1.5) \]
    +
    +\[ \sigma_{\alpha} \sim Exponential(1) \]
    +
    +\[ \sigma_{\gamma} \sim Exponential(1) \]
    +
    +
    +

    R Code 13.21

    +
    +
    +
    # Previous chimpanzees models is in chapter 11
+
+df = pd.read_csv('./data/chimpanzees.csv', sep=';')
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_left
    01NaN012010
    11NaN014001
    21NaN016100
    31NaN018010
    41NaN0110111
    +
    +
    +
    +
    +
    df['treatment'] = 1 + df['prosoc_left'] + 2 * df['condition']
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
    01NaN0120101
    11NaN0140011
    21NaN0161002
    31NaN0180101
    41NaN01101112
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters {
+        vector[qty_treatments] beta;
+        
+        vector[qty_chimpanzees] alpha;
+        real bar_alpha;
+        real<lower=0> sigma_alpha;
+        
+        vector[qty_blocks] gamma;
+        real<lower=0>  sigma_gamma;
+           
+    }
+    
+    model {
+        vector[N] p;
+    
+        // priors
+        beta ~ normal(0, 0.5);
+        
+        alpha ~ normal(bar_alpha, sigma_alpha);
+        bar_alpha ~ normal(0, 1.5);
+        sigma_alpha ~ exponential(1);
+        
+        gamma ~ normal(0, sigma_gamma);
+        sigma_gamma ~ exponential(1);
+        
+        // link
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + gamma[ block[i] ] + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // linkelihood
+        pulled_left ~ binomial(1, p);
+    }
+
+"""
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +

    R Code 13.22

    +
    +
    +
    model_13_4 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_4, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    beta[0]-0.1780.296-0.5690.3520.0420.03054.01029.01.06
    beta[1]0.3320.321-0.0830.8280.0770.05620.01608.01.14
    beta[2]-0.5370.308-0.994-0.0690.0590.04331.01329.01.09
    beta[3]0.2320.297-0.2210.7020.0460.03345.01159.01.06
    alpha[0]-0.2630.405-0.8290.3200.1060.07717.01605.01.17
    alpha[1]4.7631.2492.8116.4600.0350.0251182.01293.01.03
    alpha[2]-0.6240.347-1.205-0.1040.0210.024400.01396.01.03
    alpha[3]-0.5880.393-1.237-0.1120.0850.06124.01595.01.12
    alpha[4]-0.2750.387-0.8990.2200.0920.06620.0860.01.14
    alpha[5]0.6200.3530.0331.1610.0160.011507.01421.01.03
    alpha[6]2.1210.4371.3832.7820.0130.0091137.01182.01.26
    bar_alpha0.6780.714-0.4431.7950.0890.06365.01892.01.04
    sigma_alpha2.0690.6241.0582.8310.0360.026135.01582.01.04
    gamma[0]-0.1540.208-0.4710.1010.0250.01876.01477.01.04
    gamma[1]0.0380.167-0.2270.2990.0040.0062537.01366.01.27
    gamma[2]0.0430.173-0.2140.3190.0040.0061370.01513.01.05
    gamma[3]0.0050.164-0.2720.2480.0030.0052437.01654.01.29
    gamma[4]-0.0300.172-0.2860.2460.0030.0052766.01883.01.28
    gamma[5]0.1030.187-0.1600.4020.0140.010395.01375.01.04
    sigma_gamma0.1960.1730.0170.4050.0340.02511.04.01.29
    +
    +
    +
    +
    +
    az.plot_forest(model_13_4, hdi_prob=0.89, combined=True, figsize=(15, 8))
+plt.grid('--', color='white', alpha=0.2)
+plt.axvline(x=0, color='red', alpha=0.5, ls='--')
+plt.show()
+
    +
    +
    +
    +_images/parte_13_74_0.png +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+az.plot_dist(
+    [model_13_4.posterior.sigma_gamma], color='blue', quantiles=[.05, .89]
+)
+
+az.plot_dist(
+    [model_13_4.posterior.bar_alpha + model_13_4.posterior.sigma_alpha],
+    color='black', quantiles=[.05, .89]
+)
+
+plt.legend(['Block', 'Actor'])
+plt.title('Posteioris')
+plt.ylabel('Density')
+plt.xlabel('Standard Deviation')
+plt.show()
+
    +
    +
    +
    +_images/parte_13_75_0.png +
    +
    +
    +
    +

    R Code 13.23

    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters {
+        vector[qty_treatments] beta;
+        
+        vector[qty_chimpanzees] alpha;
+        real bar_alpha;
+        real<lower=0> sigma_alpha;   
+    }
+    
+    model {
+        vector[N] p;
+    
+        // priors
+        beta ~ normal(0, 0.5);
+        
+        alpha ~ normal(bar_alpha, sigma_alpha);
+        bar_alpha ~ normal(0, 1.5);
+        sigma_alpha ~ exponential(1);
+        
+        // link
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // linkelihood
+        pulled_left ~ binomial(1, p);
+    }
+
+"""
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_5 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +

    R Code 13.24

    +
    +
    +
    # az.compare(model_13_4, model_13_5)
+
    +
    +
    +
    +
    +
    +

    R Code 13.25

    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters {
+        vector[qty_treatments] beta;
+        real<lower=0>  sigma_beta;
+
+        vector[qty_chimpanzees] alpha;
+        real bar_alpha;
+        real<lower=0> sigma_alpha;
+        
+        vector[qty_blocks] gamma;
+        real<lower=0>  sigma_gamma;
+        
+    }
+    
+    model {
+        vector[N] p;
+    
+        // priors
+        beta ~ normal(0, sigma_beta);
+        sigma_beta ~ exponential(1);
+        
+        alpha ~ normal(bar_alpha, sigma_alpha);
+        bar_alpha ~ normal(0, 1.5);
+        sigma_alpha ~ exponential(1);
+        
+        gamma ~ normal(0, sigma_gamma);
+        sigma_gamma ~ exponential(1);
+        
+        // link
+        for (i in 1:N){
+            p[i] = alpha[ actor[i] ] + gamma[ block[i] ] + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // linkelihood
+        pulled_left ~ binomial(1, p);
+    }
+
+"""
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_6 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.plot_forest([model_13_4, model_13_6], combined=True, figsize=(17,12), hdi_prob=0.89,
+              model_names = ["model_13_4", "model_13_6"])
+plt.show()
+
    +
    +
    +
    +_images/parte_13_84_0.png +
    +
    +
    +
    +
    +

    13.4 Divergent Transitions and non-centered priors

    +
    +

    R Code 13.26

    +
    +
    +
    model = """
+    parameters {
+        real v;
+        real x;
+    }
+    
+    model {
+        v ~ normal(0, 3);
+        x ~ normal(0, exp(v));
+    }
+"""
+
+posteriori = stan.build(model)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_5 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_5, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    v3.5151.5081.2435.4860.2080.14837.026.01.1
    x-34.371286.623-142.353209.82120.34014.404290.0232.01.1
    +
    +
    +
    +
    +

    R Code 13.27

    +
    +
    +
    model = """
+    parameters {
+        real v;
+        real z;
+    }
+    
+    model {
+        v ~ normal(0, 3);
+        z ~ normal(0, 1);
+    }
+    
+    generated quantities {
+        real x;
+        
+        x = z*exp(v);
+    }
+"""
+
+posteriori = stan.build(model)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_6 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_13_6, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    v0.0552.991-4.4015.0180.0500.0483573.02181.01.0
    z0.0180.998-1.5151.6630.0180.0153015.02616.01.0
    x4.0283223.155-22.22030.35650.98236.0522943.02668.01.0
    +
    +
    +
    +

    13.4.2 Non-centered chimpanzees

    +
    +
    +
    +

    R Code 13.28

    +
    +
    +
    # Don't have apapt_delta in pystan3, until today.
+
    +
    +
    +
    +
    +
    +

    R Code 13.29

    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \bar{\alpha} + z_{ACTOR[i]} \sigma_\alpha + x_{BLOCK[i]}\sigma_\gamma + \beta_{TREATMENT[i]} \]
    +

    To Actor: +$\( \bar{\alpha} \sim Normal(0, 1.5) \)$

    +
    +\[ z_j \sim Normal(0, 1) \]
    +
    +\[ \sigma_\alpha \sim Exponential(1) \]
    +

    To Block:

    +
    +\[ x_j \sim Normal(0, 1) \]
    +
    +\[ \sigma_\gamma \sim Exponential(1) \]
    +

    To Treatment:

    +
    +\[ \beta_j \sim Normal(0, 0.5) \]
    +

    Where, each actor is defined by:

    +
    +\[ \alpha_j = \bar{\alpha} + z_j\sigma_\alpha \]
    +

    and, each block is defined by:

    +
    +\[ \gamma_j = x_j\sigma_\gamma \]
    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters {
+        // To treatments
+        vector[qty_treatments] beta;
+        
+        // To actors
+        real bar_alpha;
+        vector[qty_chimpanzees] z;
+        real<lower=0> sigma_alpha;
+        
+        // To block
+        vector[qty_blocks] x;
+        real<lower=0>  sigma_gamma;
+    }
+    
+    model {
+        vector[N] p;
+    
+        // priors
+        beta ~ normal(0, 0.5);  // treatment
+        z ~ normal(0, 1);  // actor
+        x ~ normal(0, 1);  // block 
+        
+        bar_alpha ~ normal(0, 1.5);  // Intercept to alpha (actor)
+        
+        sigma_alpha ~ exponential(1);
+        sigma_gamma ~ exponential(1);
+        
+        // Link
+        for (i in 1:N){
+            p[i] = bar_alpha  + z[ actor[i] ]*sigma_alpha +  x[ block[i] ]*sigma_gamma + beta[ treatment[i] ];
+            p[i] = inv_logit(p[i]);
+        }
+        
+        // Linkelihood
+        pulled_left ~ binomial(1, p);
+    }
+    
+    generated quantities {
+        vector[qty_chimpanzees] alpha;
+        vector[qty_blocks] gamma;
+        
+        alpha = bar_alpha + z*sigma_alpha;
+        gamma = x*sigma_gamma;
+    }
+
+"""
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_13_4_nc = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.plot_forest(model_13_4_nc, hdi_prob=0.89, combined=True, figsize=(17, 13))
+
+plt.axvline(x=0, ls='--', color='red')
+plt.grid(axis='y', color='white', ls='--', alpha=0.5)
+plt.show()
+
    +
    +
    +
    +_images/parte_13_101_0.png +
    +
    +
    +
    +

    R Code 13.30

    +
    +
    +
    # Extract features from ess
+
+# non-centered
+ess_nc = np.array(az.ess(model_13_4_nc, var_names=['alpha']).alpha.values)
+ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['beta']).beta.values)
+ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['gamma']).gamma.values)
+ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['bar_alpha']).bar_alpha.values)
+ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['sigma_alpha']).sigma_alpha.values)
+ess_nc = np.append(ess_nc, az.ess(model_13_4_nc, var_names=['sigma_gamma']).sigma_gamma.values)
+
+# centered
+ess_c = np.array(az.ess(model_13_4, var_names=['alpha']).alpha.values)
+ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['beta']).beta.values)
+ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['gamma']).gamma.values)
+ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['bar_alpha']).bar_alpha.values)
+ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['sigma_alpha']).sigma_alpha.values)
+ess_c = np.append(ess_c, az.ess(model_13_4, var_names=['sigma_gamma']).sigma_gamma.values)
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+plt.scatter(ess_c, ess_nc)
+
+plt.plot([0, 2500], [0, 2500], ls='--', c='k', alpha=0.4)
+plt.text(650, 500, 'Identity line ($x=y$)')
+
+plt.title('Effective number samples')
+plt.xlabel('n_eff(centered)')
+plt.ylabel('n_eff(non-centered)')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_13_104_0.png +
    +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    12 - Monstros e Misturas

    +
    +     + +
    +

    next

    +

    14 - Aventuras na Covariâncias

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_14.html b/parte_14.html new file mode 100644 index 0000000..3b32032 --- /dev/null +++ b/parte_14.html @@ -0,0 +1,4377 @@ + + + + + + + + 14 - Aventuras na Covariâncias — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    14 - Aventuras na Covariâncias

    +
    +

    Imports, loadings and functions

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+from matplotlib.patches import Ellipse
+import matplotlib.transforms as transforms
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel  # Just work in < python3.9 
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +
    +
    # https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html
+def get_correlated_dataset(n, dependency, mu, scale):
+    latent = np.random.randn(n, 2)
+    dependent = latent.dot(dependency)
+    scaled = dependent * scale
+    scaled_with_offset = scaled + mu
+    # return x and y of the new, correlated dataset
+    return scaled_with_offset[:, 0], scaled_with_offset[:, 1]
+
    +
    +
    +
    +
    +
    +
    # https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html
+def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):
+    """
+    Create a plot of the covariance confidence ellipse of *x* and *y*.
+
+    Parameters
+    ----------
+    x, y : array-like, shape (n, )
+        Input data.
+
+    ax : matplotlib.axes.Axes
+        The axes object to draw the ellipse into.
+
+    n_std : float
+        The number of standard deviations to determine the ellipse's radiuses.
+
+    **kwargs
+        Forwarded to `~matplotlib.patches.Ellipse`
+
+    Returns
+    -------
+    matplotlib.patches.Ellipse
+    """
+    if x.size != y.size:
+        raise ValueError("x and y must be the same size")
+
+    cov = np.cov(x, y)
+    pearson = cov[0, 1]/np.sqrt(cov[0, 0] * cov[1, 1])
+    # Using a special case to obtain the eigenvalues of this
+    # two-dimensional dataset.
+    ell_radius_x = np.sqrt(1 + pearson)
+    ell_radius_y = np.sqrt(1 - pearson)
+    ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,
+                      facecolor=facecolor, **kwargs)
+
+    # Calculating the standard deviation of x from
+    # the squareroot of the variance and multiplying
+    # with the given number of standard deviations.
+    scale_x = np.sqrt(cov[0, 0]) * n_std
+    #scale_x = n_std
+    mean_x = np.mean(x)
+
+    # calculating the standard deviation of y ...
+    scale_y = np.sqrt(cov[1, 1]) * n_std
+    #scale_y = n_std
+    mean_y = np.mean(y)
+
+    transf = transforms.Affine2D() \
+        .rotate_deg(45) \
+        .scale(scale_x, scale_y) \
+        .translate(mean_x, mean_y)
+
+    ellipse.set_transform(transf + ax.transData)
+    return ax.add_patch(ellipse)
+
    +
    +
    +
    +
    +
    +
    def draw_ellipse(mu, sigma, level, plot_points=None):
+    
+    fig, ax_nstd = plt.subplots(figsize=(17, 8))
+
+    dependency_nstd = sigma.tolist()
+
+    scale = 5, 5
+
+    x, y = get_correlated_dataset(500, dependency_nstd, mu, scale)
+    
+    if plot_points is not None:
+        ax_nstd.scatter(plot_points[:, 0], plot_points[:, 1], s=25)
+
+    for l in level:
+        confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)
+
+    # ax_nstd.scatter(mu[0], mu[1], c='red', s=3)
+    ax_nstd.set_title('Cafés sampled - Figure 14.2')
+    ax_nstd.set_xlabel('intercepts (a_cafe)')
+    ax_nstd.set_ylabel('slopes (b_cafe)')
+    
+    ax_nstd.set_xlim(1.8, 6.2)
+    ax_nstd.set_ylim(-1.9, -0.51)
+    
+    plt.show()
+
    +
    +
    +
    +
    +
    +

    14.1 Varing Slopes by Contructions

    +
    +

    R Code 14.1

    +
    +
    +
    a = 3.5        # Average morning wait time
+b = (-1)       # Average difference afternoon wait time
+sigma_a = 1    # std dev in intercepts
+sigma_b = 0.5  # std in slopes
+rho = (-0.7)   # correlation between intercepts and slopes
+
    +
    +
    +
    +
    +
    +

    R Code 14.2

    +
    +
    +
    Mu = np.array([a, b])  # Vector
+Mu
+
    +
    +
    +
    +
    array([ 3.5, -1. ])
+
    +
    +
    +
    +
    +
    +

    R Code 14.3

    +

    The matrix variance and covariance:

    +
    +\[\begin{split} +\begin{pmatrix} +\mbox{variance of intercepts} & \mbox{covariance of intercepts & Slopes} \\ +\mbox{covariance of intercepts & Slopes} & \mbox{variance of slopes} +\end{pmatrix} +\end{split}\]
    +

    And in math form:

    +
    +\[\begin{split} +\begin{pmatrix} +\sigma^2_\alpha & \sigma_\alpha\sigma_\beta\rho \\ +\sigma_\alpha\sigma_\beta\rho & \sigma^2_\beta +\end{pmatrix} +\end{split}\]
    +
    +
    +

    R Code 14.3

    +
    +
    +
    cov_ab = sigma_a * sigma_b * rho
+Sigma = np.matrix([
+    [sigma_a**2, cov_ab],
+    [cov_ab, sigma_b**2]
+])
+Sigma
+
    +
    +
    +
    +
    matrix([[ 1.  , -0.35],
+        [-0.35,  0.25]])
+
    +
    +
    +
    +
    +
    +

    R Code 14.4

    +
    +
    +
    np.matrix([[1,2], [3, 4]])
+
    +
    +
    +
    +
    matrix([[1, 2],
+        [3, 4]])
+
    +
    +
    +
    +
    +
    +

    R Code 14.5

    +
    +
    +
    sigmas = np.array([sigma_a, sigma_b])  # Standart Deviations
+
+sigmas
+
    +
    +
    +
    +
    array([1. , 0.5])
+
    +
    +
    +
    +
    +
    +
    Rho = np.matrix([
+    [1, rho],
+    [rho, 1]
+])  # Correlation Matrix
+
+Rho
+
    +
    +
    +
    +
    matrix([[ 1. , -0.7],
+        [-0.7,  1. ]])
+
    +
    +
    +
    +
    +
    +
    # Multiply to get covariance matrix
+Sigma = np.diag(sigmas) * Rho * np.diag(sigmas)
+
+Sigma
+
    +
    +
    +
    +
    matrix([[ 1.  , -0.35],
+        [-0.35,  0.25]])
+
    +
    +
    +
    +
    +
    +

    R Code 14.6

    +
    +
    +
    N_cafe = 20
+
    +
    +
    +
    +
    +
    +

    R Code 14.7

    +
    +
    +
    np.random.seed(5)   # used to replicate example
+
+vary_effects = stats.multivariate_normal(mean=Mu, cov=Sigma).rvs(N_cafe)
+vary_effects
+
    +
    +
    +
    +
    array([[ 3.02149593, -0.9304358 ],
+       [ 1.05666673, -0.12762876],
+       [ 3.58546284, -0.46432203],
+       [ 4.3297356 , -1.53991745],
+       [ 3.27332508, -1.02933771],
+       [ 4.65859716, -1.5303893 ],
+       [ 3.93018946, -0.9524405 ],
+       [ 5.06625508, -1.869279  ],
+       [ 2.58529637,  0.0287956 ],
+       [ 5.07890482, -1.39033508],
+       [ 4.36801698, -1.65042937],
+       [ 4.31342478, -1.47263713],
+       [ 2.59854231, -0.38835499],
+       [ 3.39670791, -1.09000246],
+       [ 3.48373345, -1.03170127],
+       [ 2.63542057, -0.88644913],
+       [ 3.49374238, -1.03389681],
+       [ 3.58250316, -0.94285315],
+       [ 3.46768242, -0.50699357],
+       [ 3.77789108, -0.54770738]])
+
    +
    +
    +
    +
    +
    +

    R Code 14.8

    +
    +
    +
    a_cafe = vary_effects[:, 0]  # Intercepts samples
+b_cafe = vary_effects[:, 1]  # Slopes samples
+
    +
    +
    +
    +
    +
    +

    R Code 14.9

    +
    +
    +
    levels = [0.1, 0.3, 0.5, 0.8, 0.99]
+draw_ellipse(mu=Mu, sigma=Sigma, level=levels, plot_points=vary_effects)
+
    +
    +
    +
    +_images/parte_14_31_0.png +
    +
    +

    Overthinking: We define the covariance with 3 parameters: (pag 440)

    +
      +

    1. Firt variable standart deviations \(\sigma_\alpha\)

      2. +

    2. Second variable standart deviations \( \sigma_\beta \)

      3. +

    3. Correlation between two variables \(\rho_{\alpha\beta}\)

      4. +
    +

    Whu the covariance is equal to \(\sigma_\alpha \sigma_\beta \rho_{\alpha\beta}\)?

    +

    The usual definition of the covariance between two variables \(x\) and \(y\) is:

    +
    +\[ cov(x, y) = \mathbb{E}(xy) - \mathbb{E}(x)\mathbb{E}(y) \]
    +

    To simple variance this concept is the same:

    +
    +\[ var(x) = cov(x, x) = \mathbb{E}(x^2) - \mathbb{E}(x)^2\]
    +

    If the variable with only mean equal zero (\(0\)), then the variance to be:

    +
    +\[ var(x) = cov(x) = \mathbb{E}(x^2), \mbox{ if the } \mathbb{E}(x) = 0 \]
    +

    The correlation live in \([-1, 1]\), this is only the covariance rescaled. To be rescaled covariance just:

    +
    +\[ cov(xy) = \sqrt{var(x)var(y)} \rho_{xy} \]
    +

    or better:

    +
    +\[ cov(xy) = \sigma_x \sigma_y \rho_{xy} \]
    +
    +
    +

    R Code 14.10

    +
    +
    +
    N_visit = 10
+
+afternoon = np.tile([0, 1], reps=int((N_visit*N_cafe)/2))
+cafe_id = np.repeat(np.arange(0, N_cafe), N_visit)
+
+mu = a_cafe[cafe_id] + b_cafe[cafe_id]*afternoon
+sigma = 0.5  # std dev within cafes
+
+wait = np.random.normal(mu, sigma, size=N_visit*N_cafe)
+cafe_id += 1  # index from 1 to 20 cafe_id, need to Stan index
+
+d = pd.DataFrame({'cafe': cafe_id, 'afternoon':afternoon, 'wait': wait})
+d
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    cafeafternoonwait
    0102.713830
    1111.965617
    2103.261427
    3112.836598
    4103.105162
    ............
    1952014.001264
    1962003.991292
    1972012.764103
    1982003.507337
    1992012.439118
    +

    200 rows × 3 columns

    +
    +
    +
    +
    +
    +

    14.1.3 The varing slope model

    +

    The likelihood:

    +
    +\[ W_i \sim Normal(\mu_i, \sigma) \]
    +

    and the linear model:

    +
    +\[ \mu_i = \alpha_{CAFÉ[i]} + \beta_{CAFÉ[i]}A_i \]
    +

    Then comes the matrix of varing intercepts and slopes, with it’s covariance matrix:

    +

    Population of varying effects: +$$

    +
    +(1)\[\begin{bmatrix} +\alpha_{CAFÉ} \\ +\beta_{CAFÉ} +\end{bmatrix}\]
    +

    \sim Normal

    +
    +(2)\[\begin{pmatrix} +\begin{bmatrix} +\alpha \\ +\beta +\end{bmatrix}, S +\end{pmatrix}\]
    +
    +\[ \begin{align}\begin{aligned}construct covariance matrix:\\\begin{split}$$S = +\begin{pmatrix} +\sigma_\alpha & 0 \\ +0 & \sigma_\beta +\end{pmatrix} +R +\begin{pmatrix} +\sigma_\alpha & 0 \\ +0 & \sigma_\beta +\end{pmatrix} +\end{split}\end{aligned}\end{align} \]
    +

    The \(R\) is the correlation matrix. In this simple case \(R\) is defined like:

    +
    +\[\begin{split} +R = +\begin{pmatrix} +1 & \rho \\ +\rho & 1 +\end{pmatrix} +\end{split}\]
    +

    And the priors and hyper-priors:

    +
      +

    • prior for intercept:

      • +
    +
    +\[ \alpha \sim Normal(5, 2) \]
    +
      +

    • prior for average slope:

      • +
    +
    +\[ \beta \sim Normal(-1, 0.5) \]
    +
      +

    • prior for stddev within cafés

      • +
    +
    +\[\sigma \sim Exponential(1) \]
    +
      +

    • prior for stddev among cafés

      • +
    +
    +\[ \sigma_\alpha \sim Exponential(1) \]
    +
      +

    • prior for stddev among slopes

      • +
    +
    +\[ \sigma_\beta \sim Exponential(1) \]
    +
      +

    • prior for correlation matrix

      • +
    +
    +\[ R \sim LKJcorr(2) \]
    +
    +

    R Code 14.11

    +
    +
    +
    # Dont have the function LKJcorr implemented in numpy or scipy
+# Stan implementation - https://mc-stan.org/docs/functions-reference/lkj-correlation.html
+
    +
    +
    +
    +
    +
    +

    R Code 14.12

    +
    +
    +
    # https://mc-stan.org/docs/stan-users-guide/multivariate-hierarchical-priors.html
+
+model = """
+    data {
+        int N;
+        int N_cafe;
+        int N_periods;
+        
+        array[N] real wait;
+        array[N] int cafe;
+        array[N] int afternoon; 
+    }
+    
+    parameters {
+        real<lower=0> sigma;
+        vector<lower=0>[2] sigma_cafe;
+        
+        vector[N_cafe] alpha_cafe;
+        vector[N_cafe] beta_cafe;
+        
+        real alpha;  // Like bar_alpha (hyper-prior)
+        real beta;   // Like bar_beta (hyper-prior)
+        
+        corr_matrix[N_periods] Rho;
+    }
+    
+    model {
+        vector[N] mu;
+        vector[2] Y_cafe[N_cafe];
+        vector[2] MU_cafe;
+        
+        //(sigma) - Prior to likelihood
+        sigma ~ exponential(1);  
+        
+        
+        // (sigma_cafe) - Hyper Prior
+        sigma_cafe ~ exponential(1);
+        
+        // (Rho) - Hyper Prior
+        Rho ~ lkj_corr(2);
+        
+        // (MU_cafe) - Hyper Prior
+        alpha ~ normal(5, 2);
+        beta ~ normal(-1, 0.5);
+  
+        MU_cafe = [alpha, beta]';
+        
+        // (alpha_cafe, beta_cafe) - Prior 
+        for (j in 1:N_cafe){
+            Y_cafe[j] = [alpha_cafe[j], beta_cafe[j]]' ; 
+        }
+        
+        Y_cafe ~ multi_normal(MU_cafe, quad_form_diag(Rho, sigma_cafe));  // Prior to alpha_cafe and beta_cafe
+    
+    
+        // (mu) - Linear model
+        for (i in 1:N){
+            mu[i] = alpha_cafe[ cafe[i] ] + beta_cafe[ cafe[i] ] * afternoon[i];
+        }
+        
+        // Likelihood 
+        wait ~ normal(mu, sigma);
+    }
+"""
+
+dat_list = {
+    'N': len(d),
+    'N_cafe': N_cafe,
+    'N_periods': len(d.afternoon.unique()),
+    'wait':  d.wait.values,
+    'afternoon': d.afternoon.values,
+    'cafe': d.cafe.values,
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_another_way = """
+    data {
+        int N;
+        int N_cafe;
+        int N_periods;
+        
+        array[N] real wait;
+        array[N] int cafe;
+        array[N] int afternoon; 
+    }
+    
+    parameters {
+        real<lower=0> sigma;
+        vector<lower=0>[2] sigma_cafe;
+        
+        vector[N_cafe] alpha_cafe;
+        vector[N_cafe] beta_cafe;
+        
+        real alpha;  // Like bar_alpha (hyper-prior)
+        real beta;   // Like bar_beta (hyper-prior)
+        
+        corr_matrix[N_periods] Rho;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        //(sigma) - Prior to likelihood
+        sigma ~ exponential(1);  
+        
+        
+        // (sigma_cafe) - Hyper Prior
+        sigma_cafe ~ exponential(1);
+        
+        // (Rho) - Hyper Prior
+        Rho ~ lkj_corr(2);
+        
+        // (MU_cafe) - Hyper Prior
+        alpha ~ normal(5, 2);
+        beta ~ normal(-1, 0.5);
+
+        for (i in 1:N_cafe){
+            [alpha_cafe[i], beta_cafe[i]]' ~ multi_normal([alpha, beta]', quad_form_diag(Rho, sigma_cafe));
+        }
+        
+    
+        // (mu) - Linear model
+        for (i in 1:N){
+            mu[i] = alpha_cafe[ cafe[i] ] + beta_cafe[ cafe[i] ] * afternoon[i];
+        }
+        
+        // Likelihood 
+        wait ~ normal(mu, sigma);
+    }
+"""
+
    +
    +
    +
    +
    +
    +
    m14_1 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(m14_1, hdi_prob=0.89)
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    sigma0.4940.0270.4540.5410.0000.0005147.03085.01.0
    sigma_cafe[0]0.9550.1630.6951.1870.0020.0025092.03241.01.0
    sigma_cafe[1]0.4540.1070.2810.6160.0020.0022209.01995.01.0
    alpha_cafe[0]2.9440.2042.6083.2590.0030.0025598.03371.01.0
    alpha_cafe[1]1.1020.2130.7661.4450.0030.0025163.03691.01.0
    alpha_cafe[2]3.7140.2083.3844.0430.0030.0024668.02735.01.0
    alpha_cafe[3]4.1530.1993.8074.4470.0030.0025745.03062.01.0
    alpha_cafe[4]3.3060.2032.9763.6150.0030.0024642.03251.01.0
    alpha_cafe[5]4.8360.2024.4865.1350.0030.0025839.03544.01.0
    alpha_cafe[6]4.2590.2033.9484.5980.0030.0025354.03489.01.0
    alpha_cafe[7]4.8350.2154.4785.1650.0030.0024494.03171.01.0
    alpha_cafe[8]2.7440.2062.4363.0750.0030.0025784.02714.01.0
    alpha_cafe[9]5.1940.2044.8695.5150.0030.0024640.03116.01.0
    alpha_cafe[10]3.9510.2053.6544.3030.0030.0024219.02878.01.0
    alpha_cafe[11]4.5240.2084.1814.8440.0030.0025084.03117.01.0
    alpha_cafe[12]2.5570.2022.2302.8810.0030.0024584.02660.01.0
    alpha_cafe[13]3.5540.2103.1983.8640.0030.0024083.02590.01.0
    alpha_cafe[14]3.8060.2023.4874.1240.0030.0025093.03223.01.0
    alpha_cafe[15]2.6860.2062.3543.0120.0030.0024761.03236.01.0
    alpha_cafe[16]3.5370.2023.2283.8800.0030.0025647.03117.01.0
    alpha_cafe[17]3.5140.2043.1713.8210.0030.0025429.03417.01.0
    alpha_cafe[18]3.7180.2053.3954.0410.0030.0025135.03168.01.0
    alpha_cafe[19]3.4530.2023.1353.7760.0030.0025510.03590.01.0
    beta_cafe[0]-0.7660.234-1.154-0.4140.0030.0025345.03726.01.0
    beta_cafe[1]-0.1190.275-0.5490.3240.0040.0044223.02961.01.0
    beta_cafe[2]-0.6860.259-1.080-0.2710.0040.0033532.02484.01.0
    beta_cafe[3]-1.1780.231-1.534-0.7990.0030.0025704.02683.01.0
    beta_cafe[4]-0.8630.228-1.222-0.4900.0030.0024366.03321.01.0
    beta_cafe[5]-1.4500.238-1.821-1.0700.0030.0025271.03484.01.0
    beta_cafe[6]-1.3780.240-1.762-0.9910.0040.0034525.03184.01.0
    beta_cafe[7]-1.6730.263-2.112-1.2670.0040.0033798.03061.01.0
    beta_cafe[8]-0.6190.243-1.024-0.2480.0030.0035271.03084.01.0
    beta_cafe[9]-1.4460.253-1.856-1.0470.0040.0034326.02741.01.0
    beta_cafe[10]-1.3240.245-1.719-0.9440.0040.0033760.02877.01.0
    beta_cafe[11]-1.4210.243-1.819-1.0540.0040.0034647.03288.01.0
    beta_cafe[12]-0.5910.239-0.978-0.2160.0030.0024727.03014.01.0
    beta_cafe[13]-1.3570.265-1.749-0.9090.0050.0042824.02721.01.0
    beta_cafe[14]-1.0450.229-1.428-0.7090.0030.0025144.03521.01.0
    beta_cafe[15]-0.8260.244-1.234-0.4580.0040.0034317.03206.01.0
    beta_cafe[16]-0.9660.234-1.344-0.6070.0030.0024929.03126.01.0
    beta_cafe[17]-0.8260.241-1.220-0.4450.0030.0025018.03167.01.0
    beta_cafe[18]-0.8210.244-1.203-0.4250.0040.0034382.02956.01.0
    beta_cafe[19]-0.6400.251-1.071-0.2680.0040.0033712.03520.01.0
    alpha3.6320.2163.2933.9720.0030.0024168.03264.01.0
    beta-1.0030.120-1.196-0.8140.0020.0013412.03079.01.0
    Rho[0, 0]1.0000.0001.0001.0000.0000.0004000.04000.0NaN
    Rho[0, 1]-0.7430.142-0.961-0.5530.0030.0022243.01976.01.0
    Rho[1, 0]-0.7430.142-0.961-0.5530.0030.0022243.01976.01.0
    Rho[1, 1]1.0000.0001.0001.0000.0000.0003969.03852.01.0
    +
    +
    +
    +
    +
    az.plot_forest(m14_1, hdi_prob=0.89, combined=True, figsize=(17, 25))
+plt.grid(axis='y', color='white', alpha=0.3)
+plt.axvline(x=0, ls='--', color='white', alpha=0.4)
+plt.show()
+
    +
    +
    +
    +_images/parte_14_44_0.png +
    +
    +
    +
    +

    R Code 14.13

    +
    +
    +
    az.plot_density(m14_1.posterior.Rho.sel(Rho_dim_0=0, Rho_dim_1=1), figsize=(17, 6))
+plt.xlabel = 'Correlation'
+plt.ylabel = 'Density'
+plt.show()
+
    +
    +
    +
    +_images/parte_14_46_0.png +
    +
    +
    +
    +

    R Code 14.14 & R Code 14.15

    +
    +
    +
    post_alpha = m14_1.posterior.alpha.mean().values
+post_beta = m14_1.posterior.beta.mean().values
+
+post_sigma_alpha = m14_1.posterior.sigma_cafe.sel(sigma_cafe_dim_0=0).mean().values
+post_sigma_beta = m14_1.posterior.sigma_cafe.sel(sigma_cafe_dim_0=1).mean().values
+post_rho = m14_1.posterior.Rho.sel(Rho_dim_0=0, Rho_dim_1=1).mean().values
+
+print('Posterior alpha:', post_alpha)
+print('Posterior beta:', post_beta)
+print('Posterior sigma alpha:', post_sigma_alpha)
+print('Posterior sigma beta:', post_sigma_beta)
+print('Posterior Rho:', post_rho)
+
    +
    +
    +
    +
    Posterior alpha: 3.6320048659560236
+Posterior beta: -1.0031288413854578
+Posterior sigma alpha: 0.9549508114681846
+Posterior sigma beta: 0.4542529928057041
+Posterior Rho: -0.7428039489326627
+
    +
    +
    +
    +
    +
    +
    post_matrix_sigma_alpha_beta = np.matrix([[post_sigma_alpha, 0],[0, post_sigma_beta]])
+post_matrix_sigma_alpha_beta
+
    +
    +
    +
    +
    matrix([[0.95495081, 0.        ],
+        [0.        , 0.45425299]])
+
    +
    +
    +
    +
    +
    +
    post_matrix_rho = np.matrix([[1, post_rho],[post_rho, 1]])
+post_matrix_rho
+
    +
    +
    +
    +
    matrix([[ 1.        , -0.74280395],
+        [-0.74280395,  1.        ]])
+
    +
    +
    +
    +
    +
    +
    post_Sigma = post_matrix_sigma_alpha_beta * post_matrix_rho * post_matrix_sigma_alpha_beta
+post_Sigma
+
    +
    +
    +
    +
    matrix([[ 0.91193105, -0.32222038],
+        [-0.32222038,  0.20634578]])
+
    +
    +
    +
    +
    +
    +
    a1 = [d.loc[(d['afternoon'] == 0) & (d['cafe'] == i)]['wait'].mean() for i in range(1, N_cafe+1)]
+b1 = [d.loc[(d['afternoon'] == 1) & (d['cafe'] == i)]['wait'].mean() for i in range(1, N_cafe+1)]
+
+# Remember that in R Code 14.1 above, the data is build as
+# a = 3.5        # Average morning wait time
+# b = (-1)       # Average difference afternoon wait time
+# because this, b value is b - a, like this
+
+b1 = [b1[i] - a1[i] for i in range(len(a1))]
+
    +
    +
    +
    +
    +
    +
    # Extract posterior means of partially polled estimates
+a2 = [m14_1.posterior.alpha_cafe.sel(alpha_cafe_dim_0=i).mean().values for i in range(N_cafe)]
+b2 = [m14_1.posterior.beta_cafe.sel(beta_cafe_dim_0=i).mean().values for i in range(N_cafe)]
+
    +
    +
    +
    +
    +
    +
    fig, ax_nstd = plt.subplots(figsize=(17, 8))
+
+mu = np.array([post_alpha, post_beta])
+dependency_nstd = post_Sigma.tolist()
+
+scale = 5, 5
+
+level = [0.1, 0.3, 0.5, 0.8, 0.99]
+
+x, y = get_correlated_dataset(500, dependency_nstd, mu, scale)
+
+
+ax_nstd.scatter(a1, b1, s=25, color='b')
+ax_nstd.scatter(a2, b2, s=25, facecolor='gray')
+
+ax_nstd.plot([a1, a2], [b1, b2], 'k-', linewidth=0.5)
+    
+
+for l in level:
+    confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)
+
+# ax_nstd.scatter(mu[0], mu[1], c='red', s=3)
+ax_nstd.set_title('Cafés sampled - Figure 14.5 | Left')
+ax_nstd.set_xlabel('intercepts (a_cafe)')
+ax_nstd.set_ylabel('slopes (b_cafe)')
+
+
+ax_nstd.set_xlim(1.8, 6.2)
+ax_nstd.set_ylim(-1.9, -0.51)
+
+# ax_nstd.legend()
+ax_nstd.legend(['Raw data', 'Partial polling'])
+
+plt.plot(1,2, c='r')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_54_0.png +
    +
    +
    +
    +

    R Code 14.16 & R Code 14.17

    +
    +
    +
    wait_morning_1 = (a1)
+wait_afternoon_1 = [sum(x) for x in zip(a1, b1)]
+wait_morning_2 = (a2)
+wait_afternoon_2 = [sum(x) for x in zip(a2, b2)]
+
    +
    +
    +
    +
    +
    +
    # now shrinkage distribution by simulation  
+
+v = np.random.multivariate_normal(mu ,post_Sigma, 1000)
+v[:, 1] = [sum(x) for x in v]  # calculation afternoon wait
+Sigma_est2 = np.cov(v[:, 0], v[:, 1])
+
+mu_est2 = [0, 0]  # Empty vector mu
+mu_est2[0] = mu[0] 
+mu_est2[1] = mu[0] + mu[1]
+
    +
    +
    +
    +
    +
    +
    fig, ax_nstd = plt.subplots(figsize=(17, 8))
+
+scale = 5, 5
+#level = [0.1, 0.3, 0.5, 0.8, 0.99]
+level = [0.1, 0.69, 1.5, 2.0, 3.0]
+
+dependency_nstd = Sigma_est2.tolist()
+x, y = get_correlated_dataset(500, dependency_nstd, mu_est2, scale)
+
+ax_nstd.scatter(wait_morning_1, wait_afternoon_1, s=25, color='b')
+ax_nstd.scatter(wait_morning_2, wait_afternoon_2, s=25, facecolor='gray')
+
+ax_nstd.plot([wait_morning_1, wait_morning_2],
+             [wait_afternoon_1, wait_afternoon_2], 
+             'k-', linewidth=0.5)
+
+for l in level:
+    confidence_ellipse(x, y, ax_nstd, n_std=l, edgecolor='black', alpha=0.3)
+
+ax_nstd.set_title('Cafés Waiting - Figure 14.5 | Right')
+ax_nstd.set_xlabel('morning wait')
+ax_nstd.set_ylabel('afternoon wait')
+
+ax_nstd.plot([0, 10], [0, 10], ls='--', color='white', alpha=0.5, linewidth=4)
+ax_nstd.text(3.75, 4.1, "x==y",color='white', fontsize=16)
+
+ax_nstd.set_xlim(1.7, 6)
+ax_nstd.set_ylim(1, 5)
+
+# ax_nstd.legend()
+ax_nstd.legend(['Raw data', 'Partial polling'])
+
+plt.plot(1,2, c='r')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_58_0.png +
    +
    +
    +
    +
    +

    14.2 Advanced varing Slopes

    +
    +

    R Code 14.18

    +
    +
    +
    # Previous chimpanzees models is in chapter 11
+
+df = pd.read_csv('./data/chimpanzees.csv', sep=';')
+
    +
    +
    +
    +
    +
    +
    # Build the treatment data
+df['treatment'] = 1 + df['prosoc_left'] + 2 * df['condition']  
+df.head(20)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
    01NaN0120101
    11NaN0140011
    21NaN0161002
    31NaN0180101
    41NaN01101112
    51NaN01121112
    61NaN02141002
    71NaN02161002
    81NaN02180101
    91NaN02200101
    101NaN02220011
    111NaN02241002
    121NaN03260011
    131NaN03281112
    141NaN03300101
    151NaN03321112
    161NaN03341002
    171NaN03360101
    181NaN04381112
    191NaN04400011
    +
    +
    +
    +
    +
    df.tail(20)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    actorrecipientconditionblocktrialprosoc_leftchose_prosocpulled_lefttreatment
    48472.013340013
    48573.013361114
    48677.014380013
    48772.014400013
    48874.014421114
    48975.014440013
    49076.014460013
    49173.014480013
    49275.015501114
    49374.015520013
    49473.015540013
    49572.015561114
    49676.015581114
    49777.015601114
    49875.016621114
    49974.016641114
    50076.016661114
    50173.016680013
    50277.016700013
    50372.016720013
    +
    +
    +
    +\[ L_i \sim Binomial(1, p_i) \]
    +
    +\[ logit(p_i) = \gamma_{_{TID}[i]} + \alpha_{_{ACTOR}[I], _{TID}[I]} + \beta_{_{BLOCK}[I], _{TID}[I]} \]
    +
    +\[\gamma_{_{TID}} \sim Normal(0, 1)\]
    +
    +\[\begin{split}\begin{bmatrix} +\alpha_{j, 1} \\ +\alpha_{j, 2} \\ +\alpha_{j, 3} \\ +\alpha_{j, 4} \end{bmatrix} \sim MVNormal +\begin{pmatrix} +\begin{bmatrix} +0 \\ +0 \\ +0 \\ +0 +\end{bmatrix} , S_{_{ACTOR}} +\end{pmatrix}\end{split}\]
    +
    +\[\begin{split}\begin{bmatrix} +\beta_{j, 1} \\ +\beta_{j, 2} \\ +\beta_{j, 3} \\ +\beta_{j, 4} \end{bmatrix} \sim MVNormal +\begin{pmatrix} +\begin{bmatrix} +0 \\ +0 \\ +0 \\ +0 +\end{bmatrix} , S_{_{BLOCK}} +\end{pmatrix}\end{split}\]
    +

    Hyper-prior to \(S_{_{ACTOR}}\):

    +
    +\[\sigma_{_{ACTOR}} \sim Exponential(1)\]
    +
    +\[ \rho_{_{ACTOR}} \sim dlkjcorr(4) \]
    +

    Hyper-prior to \(S_{_{BLOCK}}\): +$\( \sigma_{_{BLOCK}} \sim Exponential(1) \)$

    +
    +\[ \rho_{_{BLOCK}} \sim dlkjcorr(4) \]
    +

    This is essentially an interaction model that allow the effect of each treatment to vary by actor and each block.

    +
    +
    +
    +

    Important features to understanding this model

    +
    +

    5.1 Overview of data types

    + +
    +
    +

    5.5 Vector and matrix data types

    +

    Stan provides three types of container objects: arrays, vectors, and matrices.

    +
    +
    +

    5.6 Array data type

    +

    Stan supports arrays of arbitrary dimension.

    +
    +
    +

    Depreciated Features in Stan to build this example:

    + +

    After Stan 2.26 the declarations below:

    +
    int n[5];
+real a[3, 4];
+real<lower=0> z[5, 4, 2];
+vector[7] mu[3];
+matrix[7, 2] mu[15, 12];
+cholesky_factor_cov[5, 6] mu[2, 3, 4];
+
    +
    +

    was replaced to:

    +
    array[5] int n;
+array[3, 4] real a;
+array[5, 4, 2] real<lower=0> z;
+array[3] vector[7] mu;
+array[15, 12] matrix[7, 2] mu;
+array[2, 3, 4] cholesky_factor_cov[5, 6] mu;
+
    +
    + +

    This statements

    +
    a[:][1] = b;
+
    +
    +

    was replaced by

    +
    a[:, 1] = b;
+
    +
    +
    +

    Explanation:

    +

    Why this alpha ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_actor, sigma_actor)); works in code below?

    +
    +
    +

    Response:

    +

    Let be the code:

    +
    parameters{
+    ...
+   vector[qty_treatments] gamma;
+   ...
+}
+
    +
    +

    There are \(4\) positions in vector gamma, then when we atrribute the normal(0, 1), we realize make the broadcast:

    +
    gamma ~ normal(0, 1);
+
    +
    +

    is equivalent to:

    +
    for (i in 1:qty_treatments){
+    gamma[i] ~ normal(0, 1);
+}
+
    +
    +

    This is the same reason that code with multi_normal works. Let see this in more details:

    +
    parameters{
+    ...
+   array[qty_chimpanzees] vector[qty_treatments] alpha;
+   ...
+}
+
    +
    +

    Now, the alpha have two dimensional structure.

    +

    Note: index in Stan start in 1, not in zero like python.

    +
      +

    • The alpha[1, 1] is alpha to chimpanzees=1 and to treatment=1

      • +

    • The alpha[1, 2] is alpha to chimpanzees=1 and to treatment=2

      • +

    • The alpha[2, 3] is alpha to chimpanzees=2 and to treatment=3

      • +

    • The alpha[7, 4] is alpha to chimpanzees=7 and to treatment=4

      • +
    +

    And

    +
      +

    • The alpha[1, :] is alpha to chimpanzees=1 and to all treatments

      • +
    +

    The type of data to alpha[1, :] is a vector[qty_treatments].

    +

    This is the same type that multi_normal expected to attribuite the results.

    +

    Then, the code works!

    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters{
+        vector[qty_treatments] gamma;
+        array[qty_chimpanzees] vector[qty_treatments] alpha;
+        array[qty_blocks] vector[qty_treatments] beta;
+        
+        corr_matrix[qty_treatments] Rho_actor;
+        vector<lower=0>[qty_treatments] sigma_actor;
+        
+        corr_matrix[qty_treatments] Rho_block;
+        vector[qty_treatments] sigma_block;
+    }
+    
+    model {
+        vector[N] p;
+        
+        // Fixed Priors
+        Rho_actor ~ lkj_corr(4);
+        sigma_actor ~ exponential(1);
+        
+        Rho_block ~ lkj_corr(4);
+        sigma_block ~ exponential(1);
+        
+    
+        // Adaptatives Priors
+        gamma ~ normal(0, 1);
+        
+        alpha ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_actor, sigma_actor));
+        beta ~ multi_normal(rep_vector(0, 4), quad_form_diag(Rho_block, sigma_block));
+        
+        
+        // Linear model
+        for (i in 1:N){
+            p[i] = gamma[ treatment[i] ] + alpha[ actor[i], treatment[i] ] + beta[ block[i], treatment[i] ];
+            p[i] = inv_logit(p[i]);  // Link function
+        }
+    
+    
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+ 
+"""
+
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    m_14_2 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    print(az.summary(m_14_2).to_string())
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+
    +
    +
                      mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat
+gamma[0]         0.191  0.528  -0.741    1.254      0.034    0.024     229.0     444.0   1.04
+gamma[1]         0.669  0.409  -0.141    1.366      0.021    0.015     353.0     800.0   1.02
+gamma[2]         0.027  0.588  -1.045    1.192      0.039    0.028     231.0     242.0   1.01
+gamma[3]         0.618  0.580  -0.546    1.639      0.034    0.026     288.0     282.0   1.01
+alpha[0, 0]     -0.860  0.660  -2.257    0.235      0.040    0.030     275.0     302.0   1.03
+alpha[0, 1]     -0.540  0.481  -1.472    0.334      0.020    0.015     574.0     758.0   1.01
+alpha[0, 2]     -0.964  0.716  -2.409    0.406      0.040    0.030     329.0     362.0   1.01
+alpha[0, 3]     -0.537  0.683  -1.698    0.813      0.040    0.034     308.0     435.0   1.01
+alpha[1, 0]      3.124  1.366   1.057    5.688      0.080    0.062     346.0     170.0   1.02
+alpha[1, 1]      2.046  1.087   0.447    4.116      0.046    0.034     545.0     524.0   1.01
+alpha[1, 2]      4.042  1.512   1.278    6.895      0.077    0.055     370.0     346.0   1.01
+alpha[1, 3]      3.206  1.562   0.730    5.942      0.081    0.058     335.0     197.0   1.00
+alpha[2, 0]     -1.119  0.659  -2.436   -0.053      0.038    0.027     305.0     576.0   1.01
+alpha[2, 1]     -0.290  0.531  -1.222    0.710      0.029    0.021     310.0     280.0   1.01
+alpha[2, 2]     -1.562  0.764  -2.987   -0.035      0.039    0.027     386.0     651.0   1.01
+alpha[2, 3]     -1.201  0.684  -2.455    0.016      0.036    0.025     363.0     906.0   1.01
+alpha[3, 0]     -0.917  0.641  -2.132    0.234      0.028    0.020     533.0     599.0   1.02
+alpha[3, 1]     -0.585  0.477  -1.479    0.239      0.023    0.017     423.0     655.0   1.01
+alpha[3, 2]     -1.927  0.809  -3.411   -0.390      0.046    0.032     304.0     366.0   1.00
+alpha[3, 3]     -0.904  0.691  -2.166    0.379      0.042    0.030     264.0     479.0   1.01
+alpha[4, 0]     -0.863  0.656  -2.149    0.370      0.040    0.028     280.0     347.0   1.02
+alpha[4, 1]     -0.403  0.471  -1.318    0.465      0.018    0.014     661.0     918.0   1.01
+alpha[4, 2]     -0.991  0.760  -2.466    0.387      0.048    0.034     255.0     402.0   1.01
+alpha[4, 3]     -0.646  0.684  -1.940    0.572      0.040    0.028     298.0     595.0   1.01
+alpha[5, 0]      0.882  0.644  -0.373    2.055      0.031    0.022     407.0     675.0   1.02
+alpha[5, 1]     -0.097  0.494  -0.961    0.854      0.025    0.018     383.0     784.0   1.01
+alpha[5, 2]      0.190  0.730  -1.287    1.439      0.049    0.035     229.0     198.0   1.02
+alpha[5, 3]     -0.107  0.698  -1.398    1.155      0.045    0.032     242.0     154.0   1.02
+alpha[6, 0]      1.095  0.690  -0.242    2.356      0.040    0.029     287.0     431.0   1.01
+alpha[6, 1]      0.914  0.617  -0.204    2.085      0.057    0.045     141.0      87.0   1.04
+alpha[6, 2]      2.632  0.937   1.073    4.521      0.046    0.032     424.0     654.0   1.01
+alpha[6, 3]      2.684  1.296   0.514    5.052      0.078    0.058     288.0     343.0   1.01
+beta[0, 0]      -0.099  0.334  -0.817    0.501      0.013    0.009     581.0     841.0   1.01
+beta[0, 1]      -0.054  0.327  -0.811    0.536      0.012    0.009     750.0     906.0   1.00
+beta[0, 2]      -0.065  0.287  -0.618    0.473      0.011    0.008     611.0     811.0   1.02
+beta[0, 3]      -0.441  0.509  -1.501    0.289      0.029    0.021     346.0     300.0   1.01
+beta[1, 0]       0.075  0.349  -0.595    0.763      0.018    0.013     413.0     365.0   1.02
+beta[1, 1]      -0.148  0.358  -0.854    0.500      0.018    0.013     474.0     547.0   1.01
+beta[1, 2]       0.085  0.302  -0.478    0.664      0.012    0.009     451.0     745.0   1.01
+beta[1, 3]       0.182  0.375  -0.488    0.855      0.018    0.014     489.0     748.0   1.01
+beta[2, 0]       0.356  0.467  -0.228    1.361      0.032    0.023     275.0     281.0   1.01
+beta[2, 1]      -0.241  0.385  -1.043    0.359      0.024    0.017     317.0     457.0   1.01
+beta[2, 2]       0.011  0.312  -0.559    0.599      0.012    0.009     539.0     584.0   1.01
+beta[2, 3]       0.166  0.401  -0.502    1.010      0.020    0.014     406.0     658.0   1.01
+beta[3, 0]       0.147  0.354  -0.453    0.912      0.020    0.014     329.0     459.0   1.01
+beta[3, 1]       0.107  0.355  -0.583    0.837      0.017    0.012     469.0     550.0   1.02
+beta[3, 2]      -0.113  0.295  -0.758    0.352      0.011    0.008     700.0     798.0   1.01
+beta[3, 3]      -0.002  0.399  -0.719    0.783      0.018    0.017     589.0     375.0   1.01
+beta[4, 0]      -0.214  0.358  -0.922    0.409      0.020    0.014     354.0     508.0   1.01
+beta[4, 1]       0.020  0.336  -0.566    0.785      0.015    0.011     425.0     705.0   1.01
+beta[4, 2]       0.105  0.288  -0.402    0.719      0.010    0.008     714.0    1075.0   1.02
+beta[4, 3]      -0.012  0.351  -0.662    0.733      0.016    0.013     524.0     212.0   1.01
+beta[5, 0]      -0.112  0.342  -0.861    0.499      0.018    0.013     382.0     415.0   1.01
+beta[5, 1]       0.421  0.487  -0.220    1.359      0.035    0.025     236.0     835.0   1.01
+beta[5, 2]      -0.052  0.306  -0.671    0.530      0.014    0.010     487.0     825.0   1.01
+beta[5, 3]       0.343  0.474  -0.366    1.294      0.023    0.018     493.0     686.0   1.01
+Rho_actor[0, 0]  1.000  0.000   1.000    1.000      0.000    0.000    4000.0    4000.0    NaN
+Rho_actor[0, 1]  0.327  0.247  -0.085    0.796      0.011    0.008     552.0     854.0   1.01
+Rho_actor[0, 2]  0.375  0.234  -0.043    0.785      0.011    0.008     463.0     411.0   1.01
+Rho_actor[0, 3]  0.321  0.237  -0.106    0.763      0.010    0.008     535.0     794.0   1.01
+Rho_actor[1, 0]  0.327  0.247  -0.085    0.796      0.011    0.008     552.0     854.0   1.01
+Rho_actor[1, 1]  1.000  0.000   1.000    1.000      0.000    0.000    1892.0    1217.0   1.00
+Rho_actor[1, 2]  0.350  0.245  -0.106    0.770      0.014    0.010     319.0     674.0   1.02
+Rho_actor[1, 3]  0.342  0.256  -0.108    0.804      0.015    0.012     302.0     281.0   1.01
+Rho_actor[2, 0]  0.375  0.234  -0.043    0.785      0.011    0.008     463.0     411.0   1.01
+Rho_actor[2, 1]  0.350  0.245  -0.106    0.770      0.014    0.010     319.0     674.0   1.02
+Rho_actor[2, 2]  1.000  0.000   1.000    1.000      0.000    0.000    3280.0    2445.0   1.00
+Rho_actor[2, 3]  0.423  0.232   0.000    0.844      0.009    0.007     596.0     792.0   1.01
+Rho_actor[3, 0]  0.321  0.237  -0.106    0.763      0.010    0.008     535.0     794.0   1.01
+Rho_actor[3, 1]  0.342  0.256  -0.108    0.804      0.015    0.012     302.0     281.0   1.01
+Rho_actor[3, 2]  0.423  0.232   0.000    0.844      0.009    0.007     596.0     792.0   1.01
+Rho_actor[3, 3]  1.000  0.000   1.000    1.000      0.000    0.000    1644.0    3040.0   1.00
+sigma_actor[0]   1.408  0.533   0.621    2.358      0.030    0.021     288.0     255.0   1.03
+sigma_actor[1]   0.934  0.413   0.310    1.690      0.017    0.012     565.0     965.0   1.01
+sigma_actor[2]   1.881  0.589   0.957    2.952      0.028    0.019     481.0     591.0   1.01
+sigma_actor[3]   1.580  0.624   0.643    2.794      0.035    0.025     330.0     336.0   1.01
+Rho_block[0, 0]  1.000  0.000   1.000    1.000      0.000    0.000    4000.0    4000.0    NaN
+Rho_block[0, 1] -0.040  0.281  -0.545    0.486      0.012    0.008     598.0    1148.0   1.00
+Rho_block[0, 2] -0.040  0.310  -0.603    0.530      0.014    0.011     510.0     152.0   1.00
+Rho_block[0, 3]  0.021  0.284  -0.500    0.547      0.011    0.008     743.0    1367.0   1.01
+Rho_block[1, 0] -0.040  0.281  -0.545    0.486      0.012    0.008     598.0    1148.0   1.00
+Rho_block[1, 1]  1.000  0.000   1.000    1.000      0.000    0.000    2940.0    2255.0   1.00
+Rho_block[1, 2] -0.044  0.302  -0.541    0.522      0.017    0.012     309.0     402.0   1.01
+Rho_block[1, 3]  0.021  0.298  -0.510    0.525      0.015    0.011     415.0     966.0   1.01
+Rho_block[2, 0] -0.040  0.310  -0.603    0.530      0.014    0.011     510.0     152.0   1.00
+Rho_block[2, 1] -0.044  0.302  -0.541    0.522      0.017    0.012     309.0     402.0   1.01
+Rho_block[2, 2]  1.000  0.000   1.000    1.000      0.000    0.000    1818.0    3308.0   1.00
+Rho_block[2, 3]  0.023  0.296  -0.547    0.542      0.014    0.010     438.0     680.0   1.02
+Rho_block[3, 0]  0.021  0.284  -0.500    0.547      0.011    0.008     743.0    1367.0   1.01
+Rho_block[3, 1]  0.021  0.298  -0.510    0.525      0.015    0.011     415.0     966.0   1.01
+Rho_block[3, 2]  0.023  0.296  -0.547    0.542      0.014    0.010     438.0     680.0   1.02
+Rho_block[3, 3]  1.000  0.000   1.000    1.000      0.000    0.000    2161.0    3213.0   1.00
+sigma_block[0]   0.429  0.336   0.011    1.026      0.026    0.019     156.0     237.0   1.03
+sigma_block[1]   0.420  0.331   0.006    0.980      0.023    0.017     154.0     158.0   1.02
+sigma_block[2]   0.301  0.242   0.004    0.725      0.014    0.010     202.0     388.0   1.03
+sigma_block[3]   0.476  0.369   0.009    1.124      0.026    0.018     169.0     138.0   1.02
+
    +
    +
    +
    +
    +
    +
    az.plot_forest(m_14_2, hdi_prob=0.89, combined=True, figsize=(17, 30))
+plt.grid(axis='y', ls='--', color='white', alpha=0.3)
+plt.axvline(x=0, color='red', ls='--', alpha=0.6)
+plt.show()
+
    +
    +
    +
    +_images/parte_14_71_0.png +
    +
    +
    +
    +
    # Like trankplot in this book
+
+az.rcParams['plot.max_subplots'] = 100
+
+az.plot_ess(
+    m_14_2, kind="local", drawstyle="steps-mid", color="k",
+    linestyle="-", marker=None
+)
+plt.show()
+
    +
    +
    +
    +_images/parte_14_72_0.png +
    +
    +
    +
    +
    +

    R Code 14.19

    +
    +
    +
    # Undertanding Cholesky
+rho_test = 0.3
+R_test = np.matrix([[1, rho_test], [rho_test, 1]])
+R_test
+
    +
    +
    +
    +
    matrix([[1. , 0.3],
+        [0.3, 1. ]])
+
    +
    +
    +
    +
    +
    +
    # Cholesky decomposition
+cholesky_matrix_L = np.linalg.cholesky(R_test)
+cholesky_matrix_L
+
    +
    +
    +
    +
    matrix([[1.       , 0.       ],
+        [0.3      , 0.9539392]])
+
    +
    +
    +
    +
    +
    +
    # Testing that R=LL^t
+cholesky_matrix_L * np.transpose(cholesky_matrix_L)
+
    +
    +
    +
    +
    matrix([[1. , 0.3],
+        [0.3, 1. ]])
+
    +
    +
    +
    +
    +
    +
    sample_uncorrelated_z_score = np.random.normal(0, 1, [2,200]) # ?
+np.corrcoef(sample_uncorrelated_z_score)
+
    +
    +
    +
    +
    array([[ 1.        , -0.15506489],
+       [-0.15506489,  1.        ]])
+
    +
    +
    +
    +
    +

    How this model is works?

    +

    To understanding the chunck of code below.

    +
        transformed parameters{
+        matrix[qty_treatments, qty_chimpanzees] alpha;
+        matrix[qty_treatments, qty_blocks] beta;
+        
+        alpha = (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)';
+        beta = (diag_pre_multiply(sigma_block, L_Rho_block) * z_block)';   
+    }
+
    +
    +
      +

    • PS: \(qty\_actor\) is equal to \(qty\_chimpanzees\) for this example!

      • +
    +

    Firts, thinking about matrices dimensions:

    +

    To z’s (\(z_{anything}\))

    +
      +

    • z_actor: \([qty\_treatment, qty\_actor]\)

      • +

    • z_block: \([qty\_treatment, qty\_block]\)

      • +
    +

    To sigmas (\(\sigma\)):

    +
      +

    • sigma_actor: \(\sigma_{_{ACTOR}}[qty\_treatments]\)

      • +

    • sigma_block: \(\sigma_{_{BLOCK}}[qty\_treatments]\)

      • +
    +

    To Rho’s (\(\rho\)):

    +
      +

    • L_Rho_actor: \(\rho_{_{ACTOR}}[qty\_treatments \times qty\_treatments]\)

      • +

    • L_Rho_block: \(\rho_{_{BLOCK}}[qty\_treatments \times qty\_treatments]\)

      • +
    +

    Now, understanding the stan functions:

    +

    The Stan function diag_pre_multiply works:

    +
      +

    • matrix diag_pre_multiply(vector v, matrix m)

      +

      Return the product of the diagonal matrix formed from the vector v and the matrix m, i.e., diag_matrix(v) * m.

      +
      • +
    +

    The Stan function diag_matrix(v) works:

    +
      +

    • matrix diag_matrix(vector x)

      +

      The diagonal matrix with diagonal x.

      +
      • +
    +

    For example: \(x = \begin{bmatrix} +0.25 \\ +0.30 \\ +0.25 \\ +0.20 +\end{bmatrix}\) then diag_matrix(x) is equal \(\begin{bmatrix} +0.25 & 0 & 0 & 0 \\ +0 & 0.30 & 0 & 0 \\ +0 & 0 & 0.25 & 0 \\ +0 & 0 & 0 & 0.20 +\end{bmatrix}\), this is a \([4 \times 4]\) matrix.

    +

    Finally, understanding dimensions for alpha and beta:

    +

    Then, this diag_pre_multiply(sigma_actor, L_Rho_actor) is:

    +
      +

    • diag_matrix(sigma_actor) \(\times\) L_Rho_actor +\([qty\_treatments \times qty\_treatments] \times [qty\_treatments \times qty\_treatments] = [qty\_treatments \times qty\_treatments]\)

      • +
    +

    The complete calculations, have this dimension:

    +
      +

    • (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)

      +

      \([qty\_treatments \times qty\_treatments] \times [qty\_treatments \times qty\_chimpanzees] = +[qty\_treatments \times qty\_chimpanzees]\)

      +
      • +
    +

    And to finish, transpose the matrix ( ’ ):

    +
      +

    • (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)'

      +

      \([qty\_chimpanzees \times qty\_treatments]\)

      +
      • +
    +

    Each of the index in matrix above, is a prior to alpha (or beta) in the model. Make the model with this structure is not need using the multi_normal(), like the previous model m_14_2.

    +
    +
    +
    model = """
+    data {
+        int N;
+        int qty_chimpanzees;
+        int qty_blocks;
+        int qty_treatments;
+        
+        array[N] int pulled_left;
+        array[N] int actor;
+        array[N] int block;
+        array[N] int treatment;
+    }
+    
+    parameters{
+        vector[qty_treatments] gamma;
+        
+        matrix[qty_treatments, qty_chimpanzees] z_actor;
+        cholesky_factor_corr[qty_treatments] L_Rho_actor;
+        vector<lower=0>[qty_treatments] sigma_actor;
+        
+        matrix[qty_treatments, qty_blocks] z_block;
+        cholesky_factor_corr[qty_treatments] L_Rho_block;
+        vector<lower=0>[qty_treatments] sigma_block;
+    }
+    
+    transformed parameters{
+        matrix[qty_chimpanzees, qty_treatments] alpha;
+        matrix[qty_blocks, qty_treatments] beta;
+        
+        alpha = (diag_pre_multiply(sigma_actor, L_Rho_actor) * z_actor)';  // matrix[qty_actors, qty_treatments]
+        beta = (diag_pre_multiply(sigma_block, L_Rho_block) * z_block)';   // Above explanations about this part
+    }
+    
+    model {
+        vector[N] p;
+    
+        // Adaptative Priors - Non-centered
+        gamma ~ normal(0, 1);
+    
+        to_vector(z_actor) ~ normal(0, 1);
+        L_Rho_actor ~ lkj_corr_cholesky(2);
+        sigma_actor ~ exponential(1);
+        
+        to_vector(z_block) ~ normal(0, 1);
+        L_Rho_block ~ lkj_corr_cholesky(2);
+        sigma_block ~ exponential(1);
+        
+        // Linear model
+        for (i in 1:N){
+            p[i] = gamma[ treatment[i] ] + alpha[ actor[i], treatment[i] ] + beta[ block[i], treatment[i] ];
+            p[i] = inv_logit(p[i]);  // Link function
+        }
+    
+    
+        // Likelihood
+        pulled_left ~ binomial(1, p);
+    }
+ 
+"""
+
+
+dat_list = df[['pulled_left', 'actor', 'block', 'treatment']].to_dict('list')
+dat_list['N'] = len(df)
+dat_list['qty_chimpanzees'] = len(df['actor'].unique())
+dat_list['qty_blocks'] = len(df['block'].unique())
+dat_list['qty_treatments'] = len(df['treatment'].unique())
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
     m_14_3 = az.from_pystan(
+     posterior=samples,
+     posterior_model=posteriori,
+     observed_data=dat_list.keys()
+ )
+
    +
    +
    +
    +
    +
    +
    print(az.summary(m_14_3, hdi_prob=0.89).to_string())
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: invalid value encountered in double_scalars
+  (between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
+
    +
    +
                        mean     sd  hdi_5.5%  hdi_94.5%  mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat
+gamma[0]           0.214  0.484    -0.542      1.008      0.010    0.007    2269.0    2705.0    1.0
+gamma[1]           0.647  0.407     0.032      1.306      0.008    0.006    2707.0    2436.0    1.0
+gamma[2]          -0.009  0.585    -0.864      0.968      0.010    0.008    3341.0    2985.0    1.0
+gamma[3]           0.671  0.548    -0.172      1.536      0.009    0.007    3377.0    2959.0    1.0
+z_actor[0, 0]     -0.658  0.470    -1.387      0.108      0.009    0.006    2676.0    2969.0    1.0
+z_actor[0, 1]      2.352  0.703     1.268      3.497      0.012    0.008    3693.0    3535.0    1.0
+z_actor[0, 2]     -0.860  0.497    -1.641     -0.076      0.010    0.007    2512.0    2995.0    1.0
+z_actor[0, 3]     -0.736  0.493    -1.505      0.048      0.010    0.007    2441.0    2824.0    1.0
+z_actor[0, 4]     -0.643  0.468    -1.395      0.070      0.009    0.006    2762.0    3063.0    1.0
+z_actor[0, 5]      0.594  0.481    -0.177      1.337      0.009    0.006    2830.0    3060.0    1.0
+z_actor[0, 6]      0.959  0.565     0.054      1.810      0.011    0.008    2879.0    2906.0    1.0
+z_actor[1, 0]     -0.375  0.667    -1.421      0.704      0.010    0.009    4046.0    3209.0    1.0
+z_actor[1, 1]      1.410  0.923    -0.070      2.856      0.015    0.011    3558.0    3111.0    1.0
+z_actor[1, 2]     -0.040  0.679    -1.112      1.050      0.012    0.009    3032.0    2925.0    1.0
+z_actor[1, 3]     -0.438  0.688    -1.586      0.616      0.012    0.009    3536.0    3026.0    1.0
+z_actor[1, 4]     -0.200  0.653    -1.248      0.814      0.011    0.009    3465.0    3298.0    1.0
+z_actor[1, 5]     -0.360  0.664    -1.430      0.663      0.010    0.009    4207.0    3114.0    1.0
+z_actor[1, 6]      0.774  0.799    -0.428      2.097      0.014    0.010    3292.0    3337.0    1.0
+z_actor[2, 0]     -0.095  0.658    -1.202      0.861      0.010    0.011    4251.0    3045.0    1.0
+z_actor[2, 1]      0.854  0.954    -0.696      2.299      0.014    0.011    4868.0    3715.0    1.0
+z_actor[2, 2]     -0.512  0.685    -1.579      0.576      0.011    0.009    3935.0    2990.0    1.0
+z_actor[2, 3]     -0.650  0.685    -1.766      0.410      0.011    0.008    3896.0    3334.0    1.0
+z_actor[2, 4]     -0.172  0.652    -1.186      0.869      0.010    0.009    4222.0    2968.0    1.0
+z_actor[2, 5]     -0.102  0.669    -1.088      0.987      0.011    0.009    3832.0    3130.0    1.0
+z_actor[2, 6]      0.988  0.853    -0.343      2.307      0.014    0.010    3600.0    3031.0    1.0
+z_actor[3, 0]      0.071  0.750    -1.127      1.247      0.010    0.011    5689.0    2879.0    1.0
+z_actor[3, 1]      0.466  0.929    -1.026      1.906      0.011    0.013    7144.0    3451.0    1.0
+z_actor[3, 2]     -0.412  0.766    -1.645      0.780      0.011    0.010    5330.0    3191.0    1.0
+z_actor[3, 3]      0.015  0.768    -1.291      1.159      0.010    0.013    5528.0    2981.0    1.0
+z_actor[3, 4]     -0.088  0.715    -1.262      0.998      0.010    0.011    5285.0    3284.0    1.0
+z_actor[3, 5]     -0.322  0.753    -1.551      0.835      0.010    0.010    5436.0    3206.0    1.0
+z_actor[3, 6]      0.831  0.928    -0.635      2.293      0.011    0.011    6855.0    2990.0    1.0
+L_Rho_actor[0, 0]  1.000  0.000     1.000      1.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[0, 1]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[0, 2]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[0, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[1, 0]  0.431  0.276     0.007      0.855      0.005    0.004    2884.0    3014.0    1.0
+L_Rho_actor[1, 1]  0.848  0.141     0.650      1.000      0.003    0.002    2922.0    3014.0    1.0
+L_Rho_actor[1, 2]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[1, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[2, 0]  0.532  0.248     0.164      0.903      0.004    0.003    3145.0    3045.0    1.0
+L_Rho_actor[2, 1]  0.282  0.307    -0.181      0.784      0.006    0.005    2295.0    3168.0    1.0
+L_Rho_actor[2, 2]  0.670  0.179     0.398      0.961      0.003    0.002    2869.0    3066.0    1.0
+L_Rho_actor[2, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_actor[3, 0]  0.452  0.262     0.050      0.849      0.005    0.004    2657.0    3037.0    1.0
+L_Rho_actor[3, 1]  0.274  0.315    -0.185      0.806      0.006    0.004    2731.0    3051.0    1.0
+L_Rho_actor[3, 2]  0.293  0.317    -0.204      0.790      0.006    0.004    2498.0    2774.0    1.0
+L_Rho_actor[3, 3]  0.579  0.180     0.291      0.865      0.003    0.002    2690.0    3154.0    1.0
+sigma_actor[0]     1.383  0.489     0.664      2.025      0.010    0.007    2353.0    3000.0    1.0
+sigma_actor[1]     0.901  0.404     0.296      1.434      0.007    0.005    2969.0    2671.0    1.0
+sigma_actor[2]     1.845  0.592     0.931      2.608      0.011    0.009    3250.0    2401.0    1.0
+sigma_actor[3]     1.568  0.582     0.669      2.312      0.011    0.008    3144.0    2650.0    1.0
+z_block[0, 0]     -0.279  0.844    -1.581      1.139      0.012    0.012    5021.0    2942.0    1.0
+z_block[0, 1]      0.115  0.834    -1.279      1.396      0.011    0.013    5926.0    3115.0    1.0
+z_block[0, 2]      0.664  0.865    -0.682      2.039      0.012    0.010    4964.0    3108.0    1.0
+z_block[0, 3]      0.268  0.840    -1.125      1.535      0.011    0.014    5965.0    3090.0    1.0
+z_block[0, 4]     -0.429  0.844    -1.837      0.803      0.012    0.012    5334.0    3088.0    1.0
+z_block[0, 5]     -0.256  0.885    -1.622      1.198      0.012    0.013    5104.0    3190.0    1.0
+z_block[1, 0]     -0.139  0.877    -1.574      1.206      0.012    0.014    5667.0    3063.0    1.0
+z_block[1, 1]     -0.252  0.820    -1.567      1.065      0.010    0.014    6141.0    2950.0    1.0
+z_block[1, 2]     -0.402  0.841    -1.747      0.953      0.011    0.012    5565.0    3300.0    1.0
+z_block[1, 3]      0.240  0.853    -1.050      1.629      0.011    0.013    6536.0    3148.0    1.0
+z_block[1, 4]      0.035  0.803    -1.282      1.268      0.010    0.012    6050.0    3079.0    1.0
+z_block[1, 5]      0.795  0.882    -0.606      2.209      0.013    0.011    4431.0    3202.0    1.0
+z_block[2, 0]     -0.128  0.942    -1.655      1.339      0.012    0.015    5812.0    3369.0    1.0
+z_block[2, 1]      0.174  0.962    -1.432      1.656      0.011    0.016    7222.0    3020.0    1.0
+z_block[2, 2]      0.019  0.938    -1.537      1.437      0.011    0.018    7040.0    2325.0    1.0
+z_block[2, 3]     -0.268  0.893    -1.619      1.242      0.011    0.014    7031.0    3159.0    1.0
+z_block[2, 4]      0.235  0.932    -1.228      1.746      0.011    0.015    7393.0    3028.0    1.0
+z_block[2, 5]     -0.069  0.926    -1.558      1.387      0.012    0.016    6284.0    3006.0    1.0
+z_block[3, 0]     -0.614  0.961    -2.149      0.915      0.012    0.012    6496.0    3194.0    1.0
+z_block[3, 1]      0.258  0.907    -1.227      1.666      0.011    0.015    6812.0    2742.0    1.0
+z_block[3, 2]      0.239  0.900    -1.211      1.650      0.011    0.014    6636.0    3177.0    1.0
+z_block[3, 3]     -0.012  0.933    -1.528      1.462      0.011    0.016    6781.0    2974.0    1.0
+z_block[3, 4]     -0.061  0.913    -1.435      1.453      0.011    0.016    7351.0    3078.0    1.0
+z_block[3, 5]      0.454  0.930    -1.027      1.931      0.011    0.014    6617.0    2932.0    1.0
+L_Rho_block[0, 0]  1.000  0.000     1.000      1.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[0, 1]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[0, 2]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[0, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[1, 0] -0.062  0.374    -0.623      0.574      0.005    0.006    4592.0    3122.0    1.0
+L_Rho_block[1, 1]  0.920  0.097     0.794      1.000      0.002    0.001    2692.0    3089.0    1.0
+L_Rho_block[1, 2]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[1, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[2, 0] -0.020  0.378    -0.649      0.557      0.004    0.007    7142.0    2844.0    1.0
+L_Rho_block[2, 1] -0.035  0.365    -0.602      0.562      0.004    0.006    7624.0    3040.0    1.0
+L_Rho_block[2, 2]  0.839  0.135     0.655      1.000      0.003    0.002    1757.0    2150.0    1.0
+L_Rho_block[2, 3]  0.000  0.000     0.000      0.000      0.000    0.000    4000.0    4000.0    NaN
+L_Rho_block[3, 0]  0.045  0.379    -0.552      0.663      0.005    0.006    5021.0    3052.0    1.0
+L_Rho_block[3, 1]  0.056  0.373    -0.487      0.709      0.005    0.006    4887.0    3093.0    1.0
+L_Rho_block[3, 2]  0.012  0.373    -0.572      0.627      0.005    0.006    4738.0    2872.0    1.0
+L_Rho_block[3, 3]  0.739  0.166     0.508      0.986      0.004    0.003    2069.0    2228.0    1.0
+sigma_block[0]     0.400  0.321     0.000      0.796      0.006    0.004    2252.0    2283.0    1.0
+sigma_block[1]     0.445  0.344     0.000      0.892      0.007    0.005    1967.0    2353.0    1.0
+sigma_block[2]     0.303  0.268     0.000      0.627      0.004    0.003    3314.0    2291.0    1.0
+sigma_block[3]     0.473  0.375     0.000      0.938      0.007    0.005    1971.0    2057.0    1.0
+alpha[0, 0]       -0.844  0.609    -1.798      0.138      0.011    0.008    3018.0    3108.0    1.0
+alpha[0, 1]       -0.511  0.488    -1.332      0.210      0.008    0.006    3697.0    3196.0    1.0
+alpha[0, 2]       -0.968  0.724    -2.073      0.196      0.012    0.009    3837.0    3287.0    1.0
+alpha[0, 3]       -0.573  0.659    -1.688      0.384      0.011    0.008    3787.0    3380.0    1.0
+alpha[1, 0]        3.152  1.250     1.301      4.881      0.020    0.015    4111.0    3012.0    1.0
+alpha[1, 1]        2.005  0.994     0.487      3.404      0.017    0.012    3564.0    2907.0    1.0
+alpha[1, 2]        4.309  1.662     1.993      6.688      0.026    0.019    4333.0    3691.0    1.0
+alpha[1, 3]        3.406  1.531     1.284      5.719      0.024    0.018    4224.0    3729.0    1.0
+alpha[2, 0]       -1.107  0.627    -2.048     -0.059      0.012    0.008    2984.0    2985.0    1.0
+alpha[2, 1]       -0.326  0.475    -1.061      0.424      0.008    0.006    3701.0    3368.0    1.0
+alpha[2, 2]       -1.537  0.758    -2.752     -0.397      0.012    0.009    3838.0    3581.0    1.0
+alpha[2, 3]       -1.298  0.660    -2.315     -0.265      0.011    0.008    3689.0    3640.0    1.0
+alpha[3, 0]       -0.937  0.609    -1.988     -0.034      0.011    0.008    2847.0    2833.0    1.0
+alpha[3, 1]       -0.580  0.489    -1.425      0.103      0.008    0.006    3921.0    3536.0    1.0
+alpha[3, 2]       -1.833  0.810    -3.070     -0.571      0.013    0.009    3685.0    3422.0    1.0
+alpha[3, 3]       -0.976  0.655    -1.992      0.053      0.010    0.007    3970.0    3603.0    1.0
+alpha[4, 0]       -0.830  0.606    -1.803      0.092      0.011    0.008    2947.0    3191.0    1.0
+alpha[4, 1]       -0.376  0.476    -1.180      0.332      0.008    0.006    3636.0    3293.0    1.0
+alpha[4, 2]       -0.970  0.726    -2.106      0.157      0.012    0.009    3644.0    3421.0    1.0
+alpha[4, 3]       -0.701  0.649    -1.760      0.301      0.010    0.008    4094.0    3235.0    1.0
+alpha[5, 0]        0.781  0.638    -0.226      1.775      0.013    0.009    2588.0    3109.0    1.0
+alpha[5, 1]       -0.047  0.489    -0.838      0.713      0.008    0.006    3884.0    2572.0    1.0
+alpha[5, 2]        0.247  0.705    -0.802      1.415      0.012    0.009    3467.0    3059.0    1.0
+alpha[5, 3]       -0.099  0.654    -1.140      0.903      0.011    0.008    3396.0    3452.0    1.0
+alpha[6, 0]        1.206  0.661     0.164      2.255      0.012    0.009    2952.0    3040.0    1.0
+alpha[6, 1]        0.923  0.590    -0.008      1.821      0.010    0.007    3706.0    3387.0    1.0
+alpha[6, 2]        2.644  0.948     1.114      4.069      0.015    0.010    4093.0    3203.0    1.0
+alpha[6, 3]        2.583  1.238     0.819      4.327      0.021    0.015    3962.0    2851.0    1.0
+beta[0, 0]        -0.128  0.347    -0.694      0.366      0.005    0.005    4443.0    3501.0    1.0
+beta[0, 1]        -0.052  0.356    -0.625      0.522      0.005    0.004    5006.0    3834.0    1.0
+beta[0, 2]        -0.051  0.296    -0.509      0.410      0.005    0.004    3767.0    3333.0    1.0
+beta[0, 3]        -0.410  0.502    -1.230      0.177      0.009    0.006    2840.0    3496.0    1.0
+beta[1, 0]         0.055  0.337    -0.446      0.622      0.005    0.005    4781.0    3152.0    1.0
+beta[1, 1]        -0.133  0.354    -0.723      0.371      0.005    0.004    4166.0    3478.0    1.0
+beta[1, 2]         0.083  0.319    -0.308      0.653      0.005    0.004    4656.0    3749.0    1.0
+beta[1, 3]         0.170  0.382    -0.395      0.780      0.006    0.005    3841.0    3438.0    1.0
+beta[2, 0]         0.317  0.425    -0.208      0.992      0.007    0.005    3416.0    3690.0    1.0
+beta[2, 1]        -0.234  0.384    -0.862      0.274      0.006    0.004    4393.0    3765.0    1.0
+beta[2, 2]         0.005  0.301    -0.433      0.478      0.005    0.004    4467.0    3665.0    1.0
+beta[2, 3]         0.160  0.395    -0.419      0.786      0.007    0.005    3436.0    3374.0    1.0
+beta[3, 0]         0.132  0.363    -0.347      0.765      0.006    0.005    4384.0    3346.0    1.0
+beta[3, 1]         0.121  0.373    -0.460      0.688      0.006    0.005    4625.0    3475.0    1.0
+beta[3, 2]        -0.118  0.299    -0.600      0.284      0.005    0.004    3625.0    3715.0    1.0
+beta[3, 3]         0.020  0.397    -0.618      0.661      0.006    0.005    4497.0    3784.0    1.0
+beta[4, 0]        -0.206  0.380    -0.852      0.282      0.006    0.005    3851.0    3106.0    1.0
+beta[4, 1]         0.049  0.350    -0.496      0.606      0.005    0.004    4743.0    3521.0    1.0
+beta[4, 2]         0.111  0.315    -0.276      0.632      0.005    0.004    4500.0    3759.0    1.0
+beta[4, 3]        -0.027  0.363    -0.617      0.522      0.006    0.005    4160.0    3394.0    1.0
+beta[5, 0]        -0.129  0.364    -0.757      0.365      0.005    0.005    4804.0    3337.0    1.0
+beta[5, 1]         0.436  0.499    -0.158      1.206      0.010    0.007    2438.0    3590.0    1.0
+beta[5, 2]        -0.047  0.299    -0.479      0.404      0.005    0.003    3962.0    3423.0    1.0
+beta[5, 3]         0.328  0.482    -0.272      1.100      0.008    0.006    3374.0    3766.0    1.0
+
    +
    +
    +
    +
    +
    +
    az.plot_forest(m_14_3, combined=True, hdi_prob=0.89, figsize=(17, 35))
+
+plt.axvline(x=0, color='red', ls='--', alpha=0.7)
+plt.grid(axis='y', color='white', ls='--', alpha=0.3)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_82_0.png +
    +
    +
    +
    +
    +

    R Code 14.20

    +
    +
    +
    import matplotlib.pyplot as plt
+from importlib import reload
+plt=reload(plt)
+
    +
    +
    +
    +
    +
    +
    alpha_ess_14_3 = az.ess(m_14_3, var_names=["alpha", "beta"]).alpha.values.flatten()
+beta_ess_14_3 = az.ess(m_14_3, var_names=["alpha", "beta"]).alpha.values.flatten()
+
+alpha_ess_14_2 = az.ess(m_14_2, var_names=["alpha", "beta"]).alpha.values.flatten()
+beta_ess_14_2 = az.ess(m_14_2, var_names=["alpha", "beta"]).beta.values.flatten()
+
+plt.figure(figsize=(17, 8))
+
+plt.scatter(alpha_ess_14_2, alpha_ess_14_3, c='b')
+plt.scatter(beta_ess_14_2, beta_ess_14_3[:24], c='b')
+
+plt.plot([0, 5000], [0, 5000], ls='--', c='red')
+plt.text(1150, 1250, 'x = y', color='red')
+
+plt.ylim(900, 5000)
+plt.xlim(0, 1500)
+
+plt.title('ESS - Effective Simple Size Comparison')
+plt.xlabel('Model centered (Default)')
+plt.ylabel('Model non-centered (Cholesky)')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_85_0.png +
    +
    +
    +
    +

    R Code 14.21

    +
    +
    +
    az.summary(m_14_3, var_names=['sigma_actor', 'sigma_block'], hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    sigma_actor[0]1.3830.4890.6642.0250.0100.0072353.03000.01.0
    sigma_actor[1]0.9010.4040.2961.4340.0070.0052969.02671.01.0
    sigma_actor[2]1.8450.5920.9312.6080.0110.0093250.02401.01.0
    sigma_actor[3]1.5680.5820.6692.3120.0110.0083144.02650.01.0
    sigma_block[0]0.4000.3210.0000.7960.0060.0042252.02283.01.0
    sigma_block[1]0.4450.3440.0000.8920.0070.0051967.02353.01.0
    sigma_block[2]0.3030.2680.0000.6270.0040.0033314.02291.01.0
    sigma_block[3]0.4730.3750.0000.9380.0070.0051971.02057.01.0
    +
    +
    +
    +
    +

    R Code 14.22

    +
    +
    +
    # Like R Code 11.17
+# ==================
+
+TODO = """
+plt.figure(figsize=(18, 6))
+
+plt.ylim(0, 1.3)
+plt.xlim(0, 7)
+plt.axhline(y=1, ls='-', c='black')
+plt.axhline(y=0.5, ls='--', c='black')
+
+
+for i in range(7):
+    plt.axvline(x=i+1, c='black')
+    plt.text(x=i + 0.25, y=1.1, s=f'Actor {i + 1}', size=20)
+    
+    alpha_chimp = az.extract(samples_chimpanzees.posterior.alpha.sel(alpha_dim_0=i)).alpha.values
+    
+    RN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=0)).beta.values)
+    LN = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=1)).beta.values)
+    RP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=2)).beta.values)
+    LP = inv_logit(alpha_chimp + az.extract(samples_chimpanzees.posterior.beta.sel(beta_dim_0=3)).beta.values)
+    
+    # To R/N and R/P
+    # ===============
+    if not i == 1:
+        plt.plot([0.2 + i, 0.8 + i], [RN.mean(), RP.mean()], color='black')
+    
+    # Plot hdi compatibility interval
+    RN_hdi_min, RN_hdi_max = az.hdi(RN, hdi_prob=0.89)
+    RP_hdi_min, RP_hdi_max = az.hdi(RP, hdi_prob=0.89)
+    plt.plot([0.2 + i, 0.2 + i], [RN_hdi_min, RN_hdi_max], c='black')
+    plt.plot([0.8 + i, 0.8 + i], [RP_hdi_min, RP_hdi_max], c='black')
+    
+    # Plot points
+    plt.plot(0.2 + i, RN.mean(), 'o', markerfacecolor='white', color='black')
+    plt.plot(0.8 + i, RP.mean(), 'o', markerfacecolor='black', color='white')
+    
+    # To L/N and L/P
+    # ===============
+    if not i == 1:
+        plt.plot([0.3 + i, 0.9 + i], [LN.mean(), LP.mean()], color='black', linewidth=3)
+
+    # Plot hdi compatibility interval
+    LN_hdi_min, LN_hdi_max = az.hdi(LN, hdi_prob=0.89)
+    LP_hdi_min, LP_hdi_max = az.hdi(LP, hdi_prob=0.89)
+    plt.plot([0.3 + i, 0.3 + i], [LN_hdi_min, LN_hdi_max], c='black')
+    plt.plot([0.9 + i, 0.9 + i], [LP_hdi_min, LP_hdi_max], c='black')
+
+    plt.plot(0.3 + i, LN.mean(), 'o', markerfacecolor='white', color='black')
+    plt.plot(0.9 + i, LP.mean(), 'o', markerfacecolor='black', color='white')
+    
+    # Labels for only first points
+    if i == 0:
+        plt.text(x=0.08, y=RN.mean() - 0.08, s='R/N')
+        plt.text(x=0.68, y=RP.mean() - 0.08, s='R/P')
+        plt.text(x=0.17, y=LN.mean() + 0.08, s='L/N')
+        plt.text(x=0.77, y=LP.mean() + 0.08, s='L/P')
+    
+plt.title('Posterior Predictions')
+plt.ylabel('Proportion left lever')
+plt.yticks([0, 0.5, 1], [0, 0.5, 1])
+plt.xticks([])
+
+plt.show()
+"""
+
+# TODO: Rebuild to this example. 
+
    +
    +
    +
    +
    +
    +
    +

    14.3 Instrumental and Causal Designs

    +

    The variable \(^*U\) is an unobserved.

    +
    +
    +
    dag_14_3_1 = CausalGraphicalModel(
+    nodes=['e', 'U*', 'w'],
+    edges=[
+        ('U*', 'e'),
+        ('U*', 'w'),
+        ('e', 'w')
+    ],
+)
+
+# Drawing the DAG
+pgm = daft.PGM()
+coordinates = {
+    "U*": (2, 1),
+    "e": (0, 0),
+    "w": (4, 0),
+}
+for node in dag_14_3_1.dag.nodes:
+    pgm.add_node(node, node, *coordinates[node])
+for edge in dag_14_3_1.dag.edges:
+    pgm.add_edge(*edge)
+pgm.render()
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_92_0.png +
    +
    +

    Now, we add Instrumental Variable Q:

    +
    +
    +
    dag_14_3_1 = CausalGraphicalModel(
+    nodes=['e', 'U*', 'w', 'Q'],
+    edges=[
+        ('U*', 'e'),
+        ('U*', 'w'),
+        ('e', 'w'),
+        ('Q', 'e')
+    ],
+)
+
+# Drawing the DAG
+pgm = daft.PGM()
+coordinates = {
+    "U*": (3, 1),
+    "e": (1, 0),
+    "w": (5, 0),
+    "Q": (0, 1),
+}
+for node in dag_14_3_1.dag.nodes:
+    pgm.add_node(node, node, *coordinates[node])
+for edge in dag_14_3_1.dag.edges:
+    pgm.add_edge(*edge)
+pgm.render()
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_94_0.png +
    +
    +
    +

    R Code 14.23

    +
    +
    +
    def standartize(data, get_parameters=False):
+    mean = np.mean(data)
+    std = np.std(data)
+    
+    if not get_parameters:
+        return list((data - mean)/std)
+    else:
+        return list((data - mean)/std), mean, std
+
    +
    +
    +
    +
    +
    +
    N = 500
+
+U_sim = np.random.normal(0, 1, N)
+Q_sim = np.random.choice([1,2,3,4], size=N, replace=True)
+
+E_sim = np.random.normal(U_sim + Q_sim, 1, N)  # E is influencied by U and Q
+W_sim = np.random.normal(U_sim + 0*E_sim, 1, N)  # W is influencied only by U, not by E
+
+dat_sim = pd.DataFrame({
+    'W': standartize(W_sim),
+    'E': standartize(E_sim),
+    'Q': standartize(Q_sim)
+})
+
+dat_sim
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    WEQ
    00.458919-1.050410-1.412495
    10.3676550.8271801.390074
    2-0.0586690.0955030.455884
    30.1393681.7159830.455884
    41.2895001.1712850.455884
    ............
    495-1.6613040.2227960.455884
    4960.0785340.3637800.455884
    497-0.341889-1.104266-1.412495
    4980.326049-1.023097-0.478305
    4992.1569612.7601301.390074
    +

    500 rows × 3 columns

    +
    +
    +
    +
    +
    plt.figure(figsize=(17,5))
+
+plt.plot(dat_sim.E, dat_sim.W, 'o')
+
+plt.title('Wages explained by Education')
+plt.xlabel('Education (std)')
+plt.ylabel('Wages (std)')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_14_98_0.png +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        array[N] real W;
+        array[N] real E;
+    }
+    
+    parameters {
+        real aW;
+        real bEW;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        array[N] real mu;
+        
+        aW ~ normal(0, 0.2);
+        bEW ~ normal(0, 0.5);
+        
+        sigma ~ exponential(1);
+        
+        for (i in 1:N){
+            mu[i] = aW + bEW*E[i];
+        }
+        
+        W ~ normal(mu, sigma);
+    }
+
+"""
+
+dat_list = {
+    'N': len(dat_sim),
+    'W': dat_sim.W.values,
+    'E': dat_sim.E.values,
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_14_4 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_14_4, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    aW-0.0000.039-0.0660.0570.0010.0013968.02939.01.0
    bEW0.4130.0400.3490.4790.0010.0003483.02369.01.0
    sigma0.9120.0300.8670.9610.0000.0004109.02633.01.0
    +
    +
    +
    +
    +

    R Code 14.25

    +
    +
    +
    model = """
+    data {
+        int N;
+        array[N] real W;
+        array[N] real E;
+        array[N] real Q;
+    }
+    
+    parameters {
+        real aW;
+        real bEW;
+        real bQW;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        array[N] real mu;
+        
+        aW ~ normal(0, 0.2);
+        bEW ~ normal(0, 0.5);
+        bQW ~ normal(0, 0.5);
+        
+        sigma ~ exponential(1);
+        
+        for (i in 1:N){
+            mu[i] = aW + bEW*E[i] + bQW*Q[i];
+        }
+        
+        W ~ normal(mu, sigma);
+    }
+
+"""
+
+dat_list = {
+    'N': len(dat_sim),
+    'W': dat_sim.W.values,
+    'E': dat_sim.E.values,
+    'Q': dat_sim.Q.values,
+}
+
+posteriori = stan.build(model, data=dat_list)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model_14_5 = az.from_pystan(
+    posterior=samples,
+    posterior_model=posteriori,
+    observed_data=dat_list.keys()
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(model_14_5, hdi_prob=0.89)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_5.5%hdi_94.5%mcse_meanmcse_sdess_bulkess_tailr_hat
    aW-0.0010.038-0.0620.0600.0010.0013870.02998.01.0
    bEW0.6330.0500.5560.7120.0010.0013293.02912.01.0
    bQW-0.3480.050-0.421-0.2570.0010.0013419.02644.01.0
    sigma0.8700.0270.8280.9120.0000.0003886.03023.01.0
    +
    +
    +

    Include instrument variable \(Q\), the bias increase. The bEW now is \(0.6\) instead of \(0.4\) from previous model. The results from the new model is terrible!

    +

    Now, we goes to use instrument variable correctly.

    +

    Let’s wirter four models, simples generative versions of the DAG’s.

    +
      +

    1. The firt model for how wages \(W\) are caused by education \(E\) and the unobserverd confound \(U\).

      2. +
    +
    +\[ W_i \sim Normal(\mu_{w,i}, \sigma_{w})\]
    +
    +\[ \mu_{w, i} = \alpha_{w} + \beta_{EW}E_i + U_i \]
    +
      +

    1. The second model, for education levels \(E\) are caused by quarter of birth \(Q\) and the same unobserved confound \(U\).

      2. +
    +
    +\[ E_i \sim Normal(\mu_{E, i}, \sigma_E) \]
    +
    +\[ \mu_{E, i} = \alpha_{E} + \beta_{QE}Q_i + U_i \]
    +
      +

    1. The thirt model is for \(Q\), that says that one-quarter of all people born in each quarter of the year.

      2. +
    +
    +\[ Q_i \sim Categorical([0.25, 0.25, 0.25, 0.25]) \]
    +
      +

    1. Finally, the model says that the unobserved confound \(U\) is normally distributed with mean standart gaussian.

      2. +
    +
    +\[ U_i \sim Normal(0, 1) \]
    +

    Now, we writer this generative model to statistical model, like multivariate normal distribution. Like this:

    +
    +\[\begin{split}\begin{pmatrix} +W_i \\ +E_i +\end{pmatrix} \sim + MVNormal\begin{pmatrix} + \begin{bmatrix} + \mu_{w, i} \\ + \mu_{E, i} + \end{bmatrix}, S + \end{pmatrix} +\end{split}\]
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    13 - Modelos com Memória

    +
    +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_3.html b/parte_3.html index a6b9b9b..225bd89 100644 --- a/parte_3.html +++ b/parte_3.html @@ -130,6 +130,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • @@ -238,54 +283,56 @@

    Statistical Rethinking

    3- Modelos Geocêntricos - -
  • - - Distribuição Normal -
  • @@ -377,17 +424,16 @@

    Statistical Rethinking

    -
    +

    3- Modelos Geocêntricos

    -
    -

    Distribuição Normal

    +

    Distribuição Normal

    gauss

    fonte: wikipedia

    fonte: Distribuição Gausiana

    Aula - Statistical Rethinking Winter 2019 Lecture 03

    -

    Regressão Linear

    +

    Regressão Linear

    São simples golems estatísticos.

    Qual é a implicação de usar essas distribuições para \(\mu\) e \(\sigma\)?

    @@ -813,7 +876,7 @@

    Simulação a partir da priori -_images/parte_3_28_0.png +_images/parte_3_29_0.png

    Plotar o gráfico da Distribuição Preditiva da Priori nos permite observar que a probabilidade, por exemplo, de alguém ter a altura próxima de \(0 cm\) é praticamente igual a zero, \(P\{altura = 0\}\), e ,também, a probabilidade de uma pessoa ser maior do que \(272 cm\), \(P\{altura >= 272\}\), que é a altura da pessoa mais alta no mundo já registrada, é bem baixa.

    @@ -843,14 +906,14 @@

    Simulação a partir da prioriplt.vlines(0, 0, 0.008, color='red', ls='--', linewidth=2) # 0 cm de altura, ovo fertilizado. plt.vlines(272, 0, 0.008, color='red', ls='--', linewidth=2) # 272 cm de altura, pessoa mais alta da história. -plt.grid(color='white', linewidth='0.3', ls='--') +plt.grid(color='white', linewidth='0.1', ls='--') plt.show()

    -_images/parte_3_30_0.png +_images/parte_3_31_0.png

    Os valores de probabilidade que estão sendo atribuídos pela distribuição à priori e que estão para fora dos limites mais conservadores possíveis, não deveriam ter uma importância tão grande, ou seja, sua probabilidade deveria se aproximar de zero!

    @@ -908,7 +971,7 @@

    Calculando a Posteriori Conjuntaax2.plot(np.arange(100, 301), curva_2, color='darkorange', alpha=0.1) ax2.plot(np.arange(100, 301), curva_3, color='red', alpha=0.1) -ax2.set_title('Posteriori \n Usando os três valores da altura juntos ($h_i$): {147, 155, 180}') +ax2.set_title('Posteriori \n Usando os três valores da altura juntos ($h_i$): \{147, 155, 180\}') ax2.set_xlabel('$\mu$') ax2.set_ylabel('Probabilidade') ax2.grid(color='white', linewidth='0.4', ls='--') @@ -919,7 +982,7 @@

    Calculando a Posteriori Conjunta -_images/parte_3_33_0.png +_images/parte_3_34_0.png
    @@ -982,7 +1045,7 @@

    Calculando a Posteriori Conjunta -_images/parte_3_34_0.png +_images/parte_3_35_0.png

    @@ -1026,7 +1089,7 @@

    Calculando a Posteriori Conjunta -_images/parte_3_35_0.png +_images/parte_3_36_0.png

    @@ -1060,7 +1123,7 @@

    Calculando a Posteriori Conjunta -_images/parte_3_36_0.png +_images/parte_3_37_0.png

    @@ -1158,12 +1221,12 @@

    Aproximação Quadrática 
    ======================================================================
-  mu médio:  50.57  	 mu original:  50
-  sigma médio:  11.9  	 sigma original:  12
+  mu médio:  49.92  	 mu original:  50
+  sigma médio:  12.71  	 sigma original:  12
 ======================================================================
    -_images/parte_3_42_1.png +_images/parte_3_43_1.png @@ -1238,12 +1301,12 @@

    Estimando a altura usando a Stan 
    ----------------------------------------
-Média:  154.6175358324885
-Sigma:  7.77149906071101
+Média:  154.60859753914997
+Sigma:  7.774072031771385
 ----------------------------------------
    -_images/parte_3_45_1.png +_images/parte_3_46_1.png
    @@ -1318,13 +1381,13 @@

    Estimando a altura usando a Stan -_images/parte_3_46_2.png +_images/parte_3_47_1.png +_images/parte_3_47_2.png

    @@ -1349,7 +1412,7 @@

    Adicionando uma variável Preditora -_images/parte_3_48_0.png +_images/parte_3_49_0.png

    Usando um modelo linear de média, \(\mu\):

    @@ -1425,7 +1488,7 @@

    Distribuição Priori Preditiva -_images/parte_3_52_0.png +_images/parte_3_53_0.png

    O resultado das simulações da distribuição à priori do \(\alpha\) e o \(\beta\), geram as curvas acima, de acordo o modelo:

    @@ -1510,7 +1573,7 @@

    Distribuição Preditiva da Priori -_images/parte_3_55_0.png +_images/parte_3_56_0.png
    @@ -1554,7 +1617,7 @@

    Distribuição Preditiva da Priori -_images/parte_3_57_0.png +_images/parte_3_58_0.png

    Nós ainda temos muita dispersão e também temos ainda algumas poucas linhas que ultrapassam a maior altura já registrada (de \(272 cm\)). Isso acontece porque não limitamos a nossa margem superior pela distribuição de \(\beta\). Mas essa nossa nova abordagem parece ser uma priori bem mais condizente com o que podemos imaginar.

    @@ -1679,13 +1742,13 @@

    Aproximação da posteriori 
    Resumo das posterioris:
 ============================================================
-Media alpha:  154.6  - Desvio Padrão alpha:  0.273
-Média beta:   0.904  - Desvio Padrão beta:   0.042
-Média sigma:  5.111  - Desvio Padrão sigma:  0.195
+Media alpha:  154.6  - Desvio Padrão alpha:  0.278
+Média beta:   0.904  - Desvio Padrão beta:   0.041
+Média sigma:  5.105  - Desvio Padrão sigma:  0.195
    -_images/parte_3_61_1.png -_images/parte_3_61_2.png +_images/parte_3_62_1.png +_images/parte_3_62_2.png diff --git a/parte_4.html b/parte_4.html index f34b338..a9122fb 100644 --- a/parte_4.html +++ b/parte_4.html @@ -130,6 +130,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios

    • +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • @@ -369,9 +414,9 @@

    4 - Funções Wiggly

    Modelo Linear Simples

    -\[ altura_i = \alpha + \beta (peso_i - peso\_medio) \]
    +\[ altura_i = \alpha + \beta (peso_i - peso\_médio)\] -

    Das distribuições à posteriori dos parâmetros podemos pegar apenas os valores "precisos" desses parâmetros, ou seja, geralmente nós tendemos pensar apenas com os valores esperados (valores médios) da distribuição do \(\alpha\) e do \(\beta\) e, com isso, traçar uma linha reta com esses valores.

    +

    Das distribuições à posteriori dos parâmetros podemos pegar apenas algum valor "preciso" desses parâmetros, ou seja, geralmente nós tendemos pensar apenas com os valores esperados (valores médios) da distribuição do \(\alpha\) e do \(\beta\) e, com isso, traçar uma linha reta com esses valores.

    Olhando para os resultados das inferências dos parâmetros, quando o peso está em seu valor médio, temos que \(\alpha\) significa o valor médio da altura!

    Percebeu? Percebeu como isso é muito bonito! Agora temos uma interpretação decente para o \(\alpha\)!

    Agora, o que significa o nosso \(\beta\)? Temos que para cada unidade de \(peso\) que aumentarmos a altura \(h\) também aumentará em \(\beta\) unidades. Assim, para nosso exemplo, cada kilo que aumentarmos, a altura também tende a aumentar, em média, \(0.90\)cm.

    @@ -526,16 +571,16 @@

    A observação da nossa Incerteza 
            alpha      beta     sigma
-0  154.971707  0.986113  5.461547
-1  154.761763  0.916562  5.161238
-2  154.164587  0.927024  4.896515
-3  154.715754  0.890082  5.320681
-4  154.612796  0.967634  5.275184
-5  154.761763  0.916562  5.161238
-6  154.032912  0.954426  5.001520
-7  154.485128  0.933299  4.972606
-8  154.198064  0.859681  5.386437
-9  153.794424  0.980877  5.446497
+0  154.765819  0.946624  4.904993
+1  154.725060  0.894531  4.897424
+2  154.969708  0.940925  5.181750
+3  154.966983  0.978020  4.871757
+4  154.991493  0.892440  5.335516
+5  154.752034  0.866076  5.027855
+6  154.205608  0.862118  5.100277
+7  154.324713  0.838174  5.273384
+8  154.761308  0.952450  5.090631
+9  154.352351  0.883649  5.340434
    @@ -584,45 +629,45 @@

    A observação da nossa Incerteza
    -
    plt.plot(Bw_spline_3)
+
    plt.figure(figsize=(17, 9))
+plt.plot(Bw_spline_3)
+
+plt.title('$B*w$ da B-Spline grau 3')
+plt.xlabel('Ano')
+plt.ylabel('$B*w$')
+plt.grid(ls='--', color='white', alpha=0.6)
+
 plt.show()
 
    
 
    
@@ -2372,8 +2424,8 @@ 
    Knots - Como escolher os pontos?plt.plot(cherry_not_na.year, mean_posteriori_spline_3, color='black', label='Média da posteriori')  # Plot da Média
 
-plt.plot(cherry_not_na.year, alpha_spline_3[:, :n_plot] + Bw_spline_3[:, :n_plot],  # Plot do Intevalo da Média (Sem o HPDI)
-         color='red', linewidth=0.1, alpha=0.1) 
+# Plot do Intevalo da Média (Sem o HPDI)
+plt.plot(cherry_not_na.year, alpha_spline_3[:n_plot] + Bw_spline_3[:, :n_plot], color='red', linewidth=0.1, alpha=0.1) 
 
 plt.title('Posteriori da B-Spline \n HPDI de ' + str(intervalo_credibilidade) + '%')
 plt.xlabel('Ano')
@@ -2387,19 +2439,7 @@ 
    Knots - Como escolher os pontos?
-
    ---------------------------------------------------------------------------
-IndexError                                Traceback (most recent call last)
-/tmp/ipykernel_81404/1197164469.py in <module>
-     11 plt.plot(cherry_not_na.year, mean_posteriori_spline_3, color='black', label='Média da posteriori')  # Plot da Média
-     12 
----> 13 plt.plot(cherry_not_na.year, alpha_spline_3[:, :n_plot] + Bw_spline_3[:, :n_plot],  # Plot do Intevalo da Média (Sem o HPDI)
-     14          color='red', linewidth=0.1, alpha=0.1) 
-     15 
-
-IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
-
    
-
    
-_images/parte_4_103_1.png
+_images/parte_4_103_0.png
    diff --git a/parte_5.html b/parte_5.html index c51f63e..4e401ef 100644 --- a/parte_5.html +++ b/parte_5.html @@ -54,6 +54,7 @@ + @@ -129,6 +130,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios     +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • @@ -1207,29 +1253,29 @@

    Nosso modelo -
    +
    # ==================
 #  Posteriori M ~ A
@@ -1736,121 +1782,8 @@ 
    Plot dos Resíduos dos Preditores
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-_images/parte_5_78_36.png
-
    -
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    +
    # =============================
 #  Posteriori D ~ residuos_MA
@@ -1863,109 +1796,8 @@ 
    Plot dos Resíduos dos Preditores
-
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    +
    # ===================
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@@ -1977,121 +1809,8 @@ 
    Plot dos Resíduos dos Preditores
-
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-
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    +
    # =============================
 #  Posteriori D ~ residuos_AM
@@ -2105,107 +1824,6 @@ 
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-
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-

    Podemos observar que nos gráficos acima (o (\(2^o\)) gráfico Posteriori D ~ residuos_MA e o (\(4^o\)) gráfico Posteriori D ~ residuos_AM) que a regressão dos seus respectivos resíduos explicando a taxa de divórcio.

    Existe uma forte correlação negativa no gráfico Posteriori D ~ residuos_AM, o que já ocorre no gráfico Posteriori D ~ residuos_MA. Isso ocorre por que assim existe um valor considerável @@ -2334,7 +1952,7 @@

    Associações MascaradasMilk and Brain

    Milk and Brain
    -

    Dados pode ser encontrado [aqui])(https://github.com/rmcelreath/rethinking/blob/master/data/milk.csv)

    +

    Dados pode ser encontrado aqui

    Na imagem acima temos três primatas, um lêmure e dois macacos. Estamos interessado, com esse conjunto de dados, em saber a associação que existe entre a energia do leite (\(\frac{Kcal}{gramas}\)), quão energético é o leite que chegam aos seus filhotes e quão inteligente (\(\%\) neocortex) cada primata é, usando como particular método de metrificação de inteligência, qual o percentual do neocortex em relação a todo o cérebro).

    Uma das hipótese que temos é que, para primatas que sejam mais inteligentes, é necessário maior quantidade de energia no leite materno.

    @@ -2906,7 +2524,13 @@

    Milk and Brain\(\%\) neocortex e a magnetude da massa. Ou seja, quanto mais massa o primata tiver, maior também será o percentual do seu cortex, e não apenas o cérebro como um todo.

    A seguir vamos fazer a regressão entre essas duas variáveis.

    -

    Parei no 52:51.

    +

    52:51

    +

    No próximo capítulo, iremos descrever apenas os códigos.

    +

    Comecei a ler o livro do início e todas as explicações a seguir podem ser encontradas no próprio livro.

    +

    Como dito anteriormente, esse material irá fornecer todos os códigos em linguagem \(Python3\) usando diretamente a biblioteca \(Stan\) em conjunto com a wrapper \(PyStan\).

    +

    Para usuários do \(R\), exite um Wrapper para \(RStan\) para uma possível codificação sem utilizar a biblioteca \(Rethinking\) do próprio livro.

    +
    +

    Dúvidas ou sugestões acesse a parte inicial desse material para entrar em contato.

    @@ -2942,6 +2566,13 @@

    Milk and Brain4 - Funções Wiggly

    + +
    +

    next

    +

    6 - Os DAGs assombrados & O Terror Causal

    +
    + +
    diff --git a/parte_6.html b/parte_6.html new file mode 100644 index 0000000..9edbc81 --- /dev/null +++ b/parte_6.html @@ -0,0 +1,3472 @@ + + + + + + + + 6 - Os DAGs assombrados & O Terror Causal — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
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    + +
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    +

    6 - Os DAGs assombrados & O Terror Causal

    +
    +
    +
    import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+from videpy import Vide
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    RCode 6.1 - Pag 162

    +
    +
    +
    np.random.seed(1914)
+
+N = 200
+p = 0.1
+
+# Não correlacionado noticiabilidade(newsworthiness) e confiabilidade(trustworthiness)
+nw = np.random.normal(0, 1, N)
+tw = np.random.normal(0, 1, N)
+
+# Selecionando os 10% melhores
+s = nw + tw  # Score total
+q = np.quantile(s, 1-p)  # Top 10% 
+selected = [ True if s_i >= q else False for s_i in s ]
+print('Noticiabilidade(newsworthiness): \n\n', nw[selected], '\n\n')
+print('Confiabilidade(trustworthiness):\n\n', tw[selected], '\n\n')
+
+print('Correlação: ', np.correlate(tw[selected], nw[selected]))
+
    +
    +
    +
    +
    Noticiabilidade(newsworthiness): 
+
+ [ 0.82456357  1.85614543  0.85556981  1.4066898   1.6026727   1.42256068
+  0.71166144  1.30222516  0.56454812  3.02039213  0.93879118  1.04202561
+ -0.4640972   0.12272254  1.99579665  1.59807671  1.82853378  1.15394068
+  1.48966066  1.22640255] 
+
+
+Confiabilidade(trustworthiness):
+
+ [ 1.24510334  1.29709756  2.10293057  0.66088341  1.76728533  0.64448519
+  1.17598088  0.35356094  1.08805257 -0.72327249  1.31462133  1.54253157
+  2.8128998   1.51862223  1.18048237  2.31948695 -0.09763283  0.87205345
+  0.74979249  0.46329186] 
+
+
+Correlação:  [19.93737242]
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.scatter(tw, nw, s=6, color='gray')
+plt.scatter(tw[selected], nw[selected], s=7, color='blue')
+
+plt.title('Figure 6.1 - Pag162')
+plt.xlabel('Noticiabilidade ($newsworthiness$)')
+plt.ylabel('Confiabilidade ($trustworthiness$)')
+
+plt.grid(ls='--', color='white', alpha=0.3)
+
    +
    +
    +
    +_images/parte_6_5_0.png +
    +
    +
    +
    +

    RCode 6.2 - pag163

    +
    +
    +
    N = 100
+
+np.random.seed(909)  # Teste com outras sementes
+
+height = np.random.normal(10, 2,  N)
+
+leg_proportion = np.random.uniform(0.4, 0.5, N)
+
+leg_left  = np.random.left = leg_proportion * height + np.random.normal(0, 0.02, N)
+leg_right = np.random.left = leg_proportion * height + np.random.normal(0, 0.02, N)
+
+
+df = pd.DataFrame({'height': height, 
+                   'leg_left': leg_left, 
+                   'leg_right': leg_right})
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    heightleg_leftleg_right
    08.4637284.0946754.078446
    19.8540704.7764754.687749
    28.6686944.1926074.256472
    37.5237683.0886743.088206
    49.3813524.0932174.048181
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.scatter(leg_right, leg_left, s=5, alpha=0.3)
+
+plt.title('Dados dos legs')
+plt.xlabel('Leg Right')
+plt.ylabel('Leg Left')
+
+plt.grid(ls='--', color='white', alpha=0.4)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_8_0.png +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+plt.hist(df.height, rwidth=0.9, density=True)
+plt.grid(ls='--', color='white', alpha=0.4)
+plt.show()
+
+plt.figure(figsize=(17, 6))
+plt.hist(df.leg_left, rwidth=0.9, density=True, alpha=0.5)
+plt.hist(df.leg_right, rwidth=0.9, density=True, alpha=0.5)
+
+plt.grid(ls='--', color='white', alpha=0.4)
+plt.show()
+
    +
    +
    +
    +_images/parte_6_9_0.png +_images/parte_6_9_1.png +
    +
    +
    +
    +
    model = """
+    data {
+        int<lower=0> N;
+        vector[N] height;
+        vector[N] leg_left;
+        vector[N] leg_right;
+    }
+    
+    parameters {
+        real alpha;
+        real beta_left;
+        real beta_right;
+        real<lower=0> sigma; 
+    }
+    
+    model {
+        alpha ~ normal(10, 100);
+        beta_left ~ normal(2, 10);
+        beta_right ~ normal(2, 10);
+        sigma ~ exponential(1);
+        
+        height ~ normal(alpha + beta_left * leg_left + beta_right * leg_right, sigma);
+    }
+"""
+
+data = {
+    'N': N,
+    'height': height,
+    'leg_left': leg_left,
+    'leg_right': leg_right
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+alpha = samples['alpha'].flatten()
+beta_left = samples['beta_left'].flatten()
+beta_right = samples['beta_right'].flatten()
+sigma = samples['sigma'].flatten()
+
    +
    +
    +
    +
    +
    +

    RCode 6.4 - pag164

    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.940.330.291.48
    beta_left-1.382.08-5.232.34
    beta_right3.382.06-0.217.31
    sigma0.660.050.580.74
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Leg right & Leg left')
+
    +
    +
    +
    +_images/parte_6_13_0.png +
    +
    +
    +
    +

    RCode 6.5 - pag164

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.scatter(beta_right, beta_left, s=5, alpha=0.3)
+
+plt.title('Posteriori Beta legs')
+plt.xlabel('Beta Right')
+plt.ylabel('Beta Left')
+
+plt.grid(ls='--', color='white', alpha=0.4)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_15_0.png +
    +
    +
    +
    +

    RCode 6.6 - pag 165

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.hist((beta_left + beta_right), density=True, alpha=0.8, bins=100, rwidth=0.9)
+
+plt.title('Posteriori')
+plt.xlabel('Soma de Beta_left e beta_right')
+plt.ylabel('Densidade')
+
+plt.grid(ls='--', color='white', alpha=0.4)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_17_0.png +
    +
    +
    +
    +
    # Comparação com os beta indivíduais
+plt.figure(figsize=(17, 6))
+
+plt.hist(beta_left, density=True, alpha=0.8, bins=100, rwidth=0.9)  # Beta left
+
+plt.hist(beta_right, density=True, alpha=0.8, bins=100, rwidth=0.9)  # Beta Right
+
+plt.title('Comparativo entre as Posterioris de Beta Left e Beta Right')
+plt.xlabel('Betas')
+plt.ylabel('Densidade')
+
+plt.grid(ls='--', color='white', alpha=0.1)
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_18_0.png +
    +
    +
    +
    +

    RCode 6.7 - Pag 166

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] leg_left;
+        vector[N] height;
+    }
+    
+    parameters {
+        real alpha;
+        real beta_left;
+        real sigma;
+    }
+    
+    model {
+        alpha ~ normal(10, 100);
+        beta_left ~ normal(2, 10);
+        sigma ~ exponential(1);
+        
+        height ~ normal(alpha + beta_left * leg_left, sigma);
+    }
+"""
+
+data = {
+    'N': len(height),
+    'leg_left': leg_left,
+    'height': height,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
+alpha = samples['alpha'].flatten()
+beta_left = samples['beta_left'].flatten()
+sigma = samples['sigma'].flatten()
+
    +
    +
    +
    +
    +
    +
    # RCode 6.7 - Continuação
+Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.830.330.281.43
    beta_left2.020.071.902.14
    sigma0.670.050.580.75
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Leg Left')
+
    +
    +
    +
    +_images/parte_6_22_0.png +
    +
    +
    +
    +

    R Code 6.8

    +
    +
    +
    df = pd.read_csv('data/milk.csv', sep=';')
+
+df_std = df[['kcal.per.g', 'perc.fat', 'perc.lactose']].copy()
+
+df_std['kcal.per.g'] = (df_std['kcal.per.g'] - df_std['kcal.per.g'].mean()) / df_std['kcal.per.g'].std()
+df_std['perc.fat'] = (df_std['perc.fat'] - df_std['perc.fat'].mean()) / df_std['perc.fat'].std()
+df_std['perc.lactose'] = (df_std['perc.lactose'] - df_std['perc.lactose'].mean()) / df_std['perc.lactose'].std()
+
+df_std.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    kcal.per.gperc.fatperc.lactose
    0-0.940041-1.2172431.307262
    1-0.816126-1.0303551.011285
    2-1.125913-1.3915311.382679
    3-1.001998-1.3355351.586874
    4-0.258511-0.4696930.257115
    +
    +
    +
    +
    +
    # Não tem nenhum 'missing values'
+
+df_std.isna().sum()
+
    +
    +
    +
    +
    kcal.per.g      0
+perc.fat        0
+perc.lactose    0
+dtype: int64
+
    +
    +
    +
    +
    +
    +

    R Code 6.9 - Pag 167

    +
    +
    +
    # kcal.per.g  regredido em perc.fat
+
+model_kf = """
+    data {
+        int N;
+        vector[N] outcome;
+        vector[N] predictor;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        alpha ~ normal(0, 0.2);
+        beta ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+        
+        outcome ~ normal(alpha + beta * predictor, sigma);
+    }
+"""
+
+data_kf = {
+    'N': len(df_std['kcal.per.g']),
+    'outcome': list(df_std['kcal.per.g'].values),
+    'predictor': list(df_std['perc.fat'].values),
+}
+
+posteriori_kf = stan.build(model_kf, data=data_kf)
+samples_kf = posteriori_kf.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    # kcal.per.g  regredido em  perc.lactose
+
+model_kl = """
+    data {
+        int N;
+        vector[N] outcome;
+        vector[N] predictor;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        alpha ~ normal(0, 0.2);
+        beta ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+        
+        outcome ~ normal(alpha + beta * predictor, sigma);
+    }
+"""
+
+data_kl = {
+    'N': len(df_std['kcal.per.g']),
+    'outcome': df_std['kcal.per.g'].values,
+    'predictor': df_std['perc.lactose'].values,
+}
+
+posteriori_kl = stan.build(model_kl, data=data_kl)
+samples_kl = posteriori_kl.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples_kf)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.000.08-0.140.16
    beta0.860.090.681.02
    sigma0.490.070.370.62
    +
    +
    +
    +
    +
    Vide.plot_forest(samples_kf, title='perc.fat')
+
    +
    +
    +
    +_images/parte_6_30_0.png +
    +
    +
    +
    +
    Vide.summary(samples_kl)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.000.07-0.120.14
    beta-0.900.08-1.05-0.77
    sigma0.410.060.310.52
    +
    +
    +
    +
    +
    Vide.plot_forest(samples_kl, title='perc.lactose')
+
    +
    +
    +
    +_images/parte_6_32_0.png +
    +
    +
    +
    +

    R Code 6.10 - pag 167

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] F;  // Fat
+        vector[N] L;  // Lactose
+        vector[N] K;  // kcal/g
+    }
+    
+    parameters {
+        real alpha;
+        real bF;
+        real bL;
+        real sigma;
+    }
+    
+    model {
+        alpha ~ normal(0, 0.2);
+        bF ~ normal(0, 0.5);
+        bL ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+        
+        K ~ normal(alpha + bF*F + bL*L, sigma);
+    }
+"""
+
+data = {
+    'N': len(df_std['kcal.per.g']),
+    'F': df_std['perc.fat'].values,
+    'L': df_std['perc.lactose'].values,
+    'K': df_std['kcal.per.g'].values,
+}
+
+posteriori_FL = stan.build(model, data=data)
+samples_FL = posteriori_FL.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples_FL)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha-0.000.07-0.130.12
    bF0.250.19-0.110.58
    bL-0.660.19-1.00-0.31
    sigma0.410.060.310.51
    +
    +
    +
    +
    +
    Vide.plot_forest(samples_FL, title='Perc.Fat & Perc.Lactose')
+
    +
    +
    +
    +_images/parte_6_36_0.png +
    +
    +
    +
    +

    R Code 6.11 - Pag 168 - Figure 6.3

    +
    +
    +
    pd.plotting.scatter_matrix(df_std, diagonal='hist', grid=True, figsize=(17, 6))
+plt.show()
+
    +
    +
    +
    +_images/parte_6_38_0.png +
    +
    +
    +
    +

    R Code 6.12 - Overthinking - Rever

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] kcal_per_g;
+        vector[N] perc_fat;
+        vector[N] new_predictor_X;
+    }
+    
+    parameters {
+        real alpha;
+        real bF;
+        real bX;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        kcal_per_g ~ normal(alpha + bF * perc_fat + bX * new_predictor_X, sigma);
+    }
+"""
+
    +
    +
    +
    +
    +
    +
    def generate_predictor_x(r=0.9):
+    N = len(df['perc.fat'].values)
+    
+    mean = r * df['perc.fat'].values
+    sd = np.sqrt((1 - r**2) * np.var(df['perc.fat'].values))
+    
+    return np.random.normal(mean, sd, N)  # New Predictor X
+
    +
    +
    +
    +
    +
    +
    def generate_data_dict(r=0.9):
+    data = {
+        'N': len(df['kcal.per.g']),
+        'kcal_per_g': df['kcal.per.g'].values,
+        'perc_fat': df['perc.fat'].values,
+        'new_predictor_X': generate_predictor_x(r=r),
+    }
+    return data
+
    +
    +
    +
    +
    +
    +
    def adjust_model(r=0.9):
+    
+    parameter_mean_samples  = []
+    
+    for _ in range(1):  # In book running 100x
+        # Runnning the model
+        posteriori = stan.build(model, data=generate_data_dict(r=r))
+        samples = posteriori.sample(num_chains=4, num_samples=1000)
+        
+        # Get parameter slope mean
+        parameter_mean_samples.append(samples['bF'].flatten().mean())
+            
+    return parameter_mean_samples
+
    +
    +
    +
    +
    +
    +
    stddev = []
+r_sequence = np.arange(0, 0.99, 0.1)  # In book using 0.01
+
+for r in r_sequence:
+    parameter = adjust_model(r=r)
+    stddev.append(np.mean(parameter))
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.plot(r_sequence, stddev)
+plt.xlabel("correlation", fontsize=14)
+plt.ylabel("stddev", fontsize=14)
+plt.show()
+
    +
    +
    +
    +_images/parte_6_45_0.png +
    +
    +
    +
    +

    R Code 6.13

    +
    +
    +
    np.random.seed(3)
+
+# Quantidade de plantas
+N = 100
+
+# Simulação inicial das alturas
+h0 = np.random.normal(10, 2, N)
+
+# Atribuindo tratamentos e simulando fungos e tratamentos
+treatment = np.repeat([0,1], repeats=int(N/2))
+fungus = np.random.binomial(n=1, p=(0.5 - treatment*0.4), size=N)
+h1 = h0 + np.random.normal(5 - 3*fungus, 1, N)
+
+# Dataframe
+d = pd.DataFrame.from_dict({'h0': h0, 
+                            'h1': h1, 
+                            'treatment': treatment, 
+                            'fungus': fungus})
+d.describe().T
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    countmeanstdmin25%50%75%max
    h0100.09.7827262.1387074.1685248.2799039.64207211.35386014.316299
    h1100.014.2093962.7669296.88179512.51281814.19008515.68876620.786965
    treatment100.00.5000000.5025190.0000000.0000000.5000001.0000001.000000
    fungus100.00.2700000.4461960.0000000.0000000.0000001.0000001.000000
    +
    +
    +
    +
    +

    R Code 6.14

    +
    +
    +
    sim_p = np.random.lognormal(0, 0.25, int(1e4))
+pd.DataFrame(sim_p, columns=['sim_p']).describe().T
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    countmeanstdmin25%50%75%max
    sim_p10000.01.023660.2591480.3916110.838980.9932651.1745752.781105
    +
    +
    +
    +
    +

    R Code 6.15

    +

    Modelo:

    +
    +\[ h_{1,i} \sim Normal(\mu_i, \sigma) \]
    +
    +\[ \mu_i = h_{0, i} \times p \]
    +

    Prioris:

    +
    +\[ p \sim LogNormal(0, 0.25) \]
    +
    +\[ sigma \sim Exponential(1) \]
    +
    +
    +
    model = """
+    data {
+        int N; 
+        vector[N] h1;
+        vector[N] h0;
+    }
+    
+    parameters {
+        real<lower=0> p;
+        real<lower=0> sigma;
+        
+    }
+    
+    model {
+        vector[N] mu;
+        mu = h0 * p;
+        
+        h1 ~ normal(mu, sigma);
+        
+        // Prioris
+        p ~ lognormal(0, 0.25);
+        sigma ~ exponential(1); 
+    }
+"""
+
+
+data = {
+    'N': N,
+    'h1': h1,
+    'h0': h0,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    p1.430.021.401.46
    sigma1.990.151.722.25
    +
    +
    +
    +
    +

    RCode 6.16

    +

    Modelo post-treatment bias:

    +
    +\[ h_{1, i} \sim Normal(\mu_i, \sigma) \]
    +
    +\[ \mu_i = h_{0, i} \times p \]
    +
    +\[ p = \alpha + \beta_T T_i + \beta_F F_i \]
    +

    prioris:

    +
    +\[ \alpha \sim LogNormal(0, 0.25) \]
    +
    +\[ \beta_T \sim Normal(0, 0.5) \]
    +
    +\[ \beta_F \sim Normal(0, 0.5) \]
    +
    +\[ \sigma \sim Exponential(1) \]
    +
    +
    +
    """
+To mu definition below
+----------------------
+
+vector[N] a;
+vector[N] b;
+vector[N] c; 
+
+These operation:
+c = a .* b;
+
+Is the same operation:
+for (n in 1:N) {
+  c[n] = a[n] * b[n];
+}
+
+Reference:
+https://mc-stan.org/docs/reference-manual/arithmetic-expressions.html
+"""
+
+model = """
+    data {
+        int N;
+        vector[N] h0;
+        vector[N] h1;
+        vector[N] T;  // Treatment
+        vector[N] F;  // Fungus
+    }
+
+    parameters {
+        real alpha;
+        real bT;
+        real bF;
+        real<lower=0> sigma;
+    }
+
+    model {
+        vector[N] mu;
+        vector[N] p;
+        
+        p = alpha + bT * T + bF * F;
+        mu = h0 .* p;  
+    
+        // likelihood
+        h1 ~ normal(mu, sigma);
+    
+        // prioris
+        alpha ~ lognormal(0, 0.25);
+        bT ~ normal(0, 0.5);
+        bF ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': N,
+    'h0': h0,
+    'h1': h1,
+    'T': treatment,
+    'F': fungus,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha1.530.031.481.59
    bT-0.030.04-0.090.03
    bF-0.320.04-0.39-0.25
    sigma1.440.111.261.64
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Treatment and Fungus')
+
    +
    +
    +
    +_images/parte_6_58_0.png +
    +
    +
    +
    +

    R Code 6.17

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] h0;
+        vector[N] h1;
+        vector[N] T;  // Treatment
+    }
+
+    parameters {
+        real<lower=0> alpha;
+        real bT;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        vector[N] p;
+
+        p = alpha + bT * T;
+        mu = h0 .* p;
+
+        h1 ~ normal(mu, sigma);
+
+        alpha ~ lognormal(0, 0.2);
+        bT ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': N,
+    'h0': h0,
+    'h1': h1,
+    'T': treatment,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha1.360.031.311.41
    bT0.130.040.060.20
    sigma1.890.141.652.14
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Treatment without fungus')
+
    +
    +
    +
    +_images/parte_6_62_0.png +
    +
    +
    +
    +

    R Code 6.18

    +
    +
    +
    G = nx.DiGraph()
+
+nodes = {0: '$H_0$', 
+         1: '$H_1$', 
+         2: 'F', 
+         3: 'T'}
+
+for i in nodes:
+    G.add_node(nodes[i])
+
+edges = [(nodes[0], nodes[1]),
+         (nodes[2], nodes[1]),
+         (nodes[3], nodes[2])]
+
+G.add_edges_from(edges)
+
+# explicitly set positions
+pos = {nodes[0]: (0, 0), 
+       nodes[1]: (1, 0), 
+       nodes[2]: (1.5, 0), 
+       nodes[3]: (2, 0)}
+
+options = {
+    "font_size": 15,
+    "node_size": 400,
+    "node_color": "white",
+    "edgecolors": "white",
+    "linewidths": 1,
+    "width": 1,
+}
+
+nx.draw(G, pos, with_labels=True, **options)
+
+# Set margins for the axes so that nodes aren't clipped
+ax = plt.gca()
+# ax.margins(0.01)
+plt.axis("off")
+plt.show()
+
    +
    +
    +
    +_images/parte_6_64_0.png +
    +
    +
    +
    +

    R Code 6.19

    +
    +\[F \_||\_ H_0\]
    +
    +\[H_0 \_||\_ T\]
    +
    +\[ H_1 \_||\_ T | F \]
    +
    +
    +

    R Code 6.20

    +
    +
    +
    # np.random.seed(3)
+
+# Quantidade de plantas
+N = 100
+
+# Simulação inicial das alturas
+h0 = np.random.normal(10, 2, N)
+
+# Atribuindo tratamentos e simulando fungos e tratamentos
+treatment = np.repeat([0, 1], repeats=int(N/2))
+
+M = np.random.binomial(n=1, p=0.5, size=N)  # Moisture -> Bernoulli(p=0.5)
+
+fungus = np.random.binomial(n=1, p=(0.5 - treatment * 0.4 + 0.4 * M), size=N)
+h1 = h0 + np.random.normal((5 + 3 * M), 1, N)
+
+# Dataframe
+d2 = pd.DataFrame.from_dict({'h0': h0, 
+                            'h1': h1, 
+                            'treatment': treatment, 
+                            'fungus': fungus})
+d2.describe().T 
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    countmeanstdmin25%50%75%max
    h0100.010.0916101.9763586.3139148.85067810.16927811.36974915.273222
    h1100.016.5107022.71587410.10537914.71114315.89913118.67182822.662508
    treatment100.00.5000000.5025190.0000000.0000000.5000001.0000001.000000
    fungus100.00.4800000.5021170.0000000.0000000.0000001.0000001.000000
    +
    +
    +
    +
    +
    # RCode 6.17 with new database
+
+model = """
+    data {
+        int N;
+        vector[N] h0;
+        vector[N] h1;
+        vector[N] T;  // Treatment
+    }
+
+    parameters {
+        real<lower=0> alpha;
+        real bT;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        vector[N] p;
+
+        p = alpha + bT * T;
+        mu = h0 .* p;
+
+        h1 ~ normal(mu, sigma);
+
+        alpha ~ lognormal(0, 0.2);
+        bT ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': N,
+    'h0': d2.h0.values,
+    'h1': d2.h1.values,
+    'T': d2.treatment.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha1.600.031.551.65
    bT0.020.04-0.050.09
    sigma2.160.151.872.43
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title="Only Treatment using d2")
+
    +
    +
    +
    +_images/parte_6_71_0.png +
    +
    +
    +
    +
    # RCode 6.16 with new database
+
+model = """
+    data {
+        int N;
+        vector[N] h0;
+        vector[N] h1;
+        vector[N] T;  // Treatment
+        vector[N] F;  // Fungus
+    }
+
+    parameters {
+        real alpha;
+        real bT;
+        real bF;
+        real<lower=0> sigma;
+    }
+
+    model {
+        vector[N] mu;
+        vector[N] p;
+        
+        p = alpha + bT * T + bF * F;
+        mu = h0 .* p;  
+    
+        // likelihood
+        h1 ~ normal(mu, sigma);
+    
+        // prioris
+        alpha ~ lognormal(0, 0.25);
+        bT ~ normal(0, 0.5);
+        bF ~ normal(0, 0.5);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': N,
+    'h0': d2.h0.values,
+    'h1': d2.h1.values,
+    'T': d2.treatment.values,
+    'F': d2.fungus.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha1.530.041.461.60
    bT0.060.04-0.020.14
    bF0.110.040.030.19
    sigma2.100.151.832.36
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title="Treatments and Fungus")
+
    +
    +
    +
    +_images/parte_6_74_0.png +
    +
    +
    +
    +

    Collider Bias

    +
    +

    6.21

    +

    Simulação

    +
      +

    1. Cada ano, \(20\) pessoas nascem com valores de felicidade uniformente distribuídos

      2. +

    2. Cada ano, cada uma das pessoas envelhece \(1\) ano. A sua felicidade não muda.

      3. +

    3. Aos \(18\) anos, um indivíduo de casa com a probabilidade de porporcional a sua felicidade.

      4. +

    4. Uma vez casado, o indivíduo se mantém casado.

      5. +

    5. Aos 65 anos, o indivíduo deixa a amostra (Vai morar na Espanha)

      6. +
    +
    +
    +
    # Function based in https://github.com/rmcelreath/rethinking/blob/master/R/sim_happiness.R
+# Inv_logit R-function in https://stat.ethz.ch/R-manual/R-devel/library/boot/html/inv.logit.html
+
+def inv_logit(x):
+    return np.exp(x) / (1 + np.exp(x))
+
+def sim_happiness(seed=1977 , N_years=1000 , max_age=65 , N_births=20 , aom=18):
+    np.random.seed(seed)
+    
+    df = pd.DataFrame(columns=['age', 'married', 'happiness'])
+
+    for i in range(N_years):
+        # Update age
+        df['age'] += 1
+
+        # Move to Spain when age == max_age
+        df.drop(df[df['age'] == max_age].index, inplace=True)
+        
+        # Will marry?
+        index_unmarried_aom = df.query((f'age>={aom} and married==0')).index.tolist()
+        weddings = np.random.binomial(1, inv_logit(df.loc[index_unmarried_aom, 'happiness'] - 4))
+        df.loc[index_unmarried_aom, 'married'] = weddings
+        
+        # New borns
+        df_aux = pd.DataFrame(columns=['age', 'married', 'happiness'])
+
+        df_aux.loc[:, 'age'] = np.zeros(N_births).astype(int)
+        df_aux.loc[:, 'married'] = np.zeros(N_births).astype(int)
+        df_aux.loc[:, 'happiness'] = np.linspace(-2, 2, N_births)  # np.random.uniform(0, 1, N_births)
+        
+        df = df.append(df_aux, ignore_index=True)
+        
+    return df
+
    +
    +
    +
    +
    +
    +
    df = sim_happiness(seed=1997, N_years=1000)
+df.describe(percentiles=[0.055, 0.945], include='all').T
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    countuniquetopfreqmeanstdmin5.5%50%94.5%max
    age1300.065.064.020.0NaNNaNNaNNaNNaNNaNNaN
    married1300.02.00.0950.0NaNNaNNaNNaNNaNNaNNaN
    happiness1300.0NaNNaNNaN-8.335213e-171.214421-2.0-1.789474-1.110223e-161.7894742.0
    +
    +
    +
    +
    +
    # Figure 6.21
+plt.figure(figsize=(17, 6))
+
+colors = ['white' if is_married == 0 else 'blue' for is_married in df.married ]
+
+plt.scatter(df.age, df.happiness, color=colors)
+
+plt.title('White - Unmarried   |    Blue - Married')
+plt.xlabel('Age')
+plt.ylabel('Happiness')
+plt.show()
+
    +
    +
    +
    +_images/parte_6_80_0.png +
    +
    +
    +
    +

    R Code 6.22

    +
    +
    +
    df2 = df[df.age > 17].copy()  # Only adults
+df2.loc[:, 'age'] = (df2.age - 18) / (65 - 18)
+
    +
    +
    +
    +
    +
    +

    R Code 6.23

    +

    Modelo:

    +
    +\[ happiness \sim Normal(\mu_i, \sigma) \]
    +
    +\[ \mu_i = \alpha_{_{MID}[i]} + \beta_A \times A_i \]
    +

    prioris:

    +
    +\[ \alpha_{_{MID}[i]} \sim Normal(0, 1)\]
    +
    +\[ \beta_A \sim Normal(0, 2) \]
    +
    +\[ \sigma \sim Exponential(1); \]
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] age;
+        vector[N] happiness;
+        array[N] int married;  // Must be integer because this is index to alpha. 
+    }
+    
+    parameters {
+        vector[2] alpha;  // can also be written like this: real alpha[2] or array[2] int alpha;
+        real beta_age;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha[ married[i] ] + beta_age * age[i];
+        }
+        
+        happiness ~ normal(mu, sigma);
+        
+        // Prioris
+        alpha ~ normal(0, 1);
+        beta_age ~normal(0, 2);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': len(df2.happiness.values),
+    'age': df2.age.values,
+    'happiness': df2.happiness.values,
+    'married': df2.married.values + 1  # Because the index in stan starting with 1 
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha[0]-0.190.06-0.30-0.07
    alpha[1]1.380.091.221.53
    beta_age-0.810.11-1.02-0.62
    sigma0.970.020.931.02
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Married and Unmarried')
+
    +
    +
    +
    +_images/parte_6_87_0.png +
    +
    +
    +
    +

    R Code 6.24

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] age;
+        vector[N] happiness;
+    }
+    
+    parameters {
+        real alpha;
+        real beta_age;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha + beta_age * age[i];
+        }
+        
+        happiness ~ normal(mu, sigma);
+        
+        alpha ~ normal(0, 1);
+        beta_age ~ normal(0, 2);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': len(df2.happiness.values),
+    'happiness': df2.happiness.values,
+    'age': df2.age.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha-0.000.08-0.150.14
    beta_age0.000.14-0.230.27
    sigma1.220.031.171.27
    +
    +
    +
    +
    +
    Vide.plot_forest(samples, title='Without married variable')
+
    +
    +
    +
    +_images/parte_6_91_0.png +
    +
    +
    +
    +

    RCode 6.25

    +
    +
    +
    N = 200  # Qty of triads  (G, P, C)
+
+b_GP = 1  # Direct effect of G on P 
+b_GC = 0  # Direct effect of G on C
+b_PC = 1  # Direct effect of P on C
+b_U  = 2  # Direct effect of U on  P and C
+
    +
    +
    +
    +
    +
    +

    R Code 6.26

    +
    +
    +
    np.random.seed(3)
+
+U = 2 * np.random.binomial(n=1, p=0.5, size=N) - 1  # {-1, 1}
+# U = np.random.normal(0, 1, N)  # Simulation more realistic example 
+
+G = np.random.normal(0, 1, size=N)  # Has not influence
+
+P = np.random.normal(b_GP*G + b_U*U, 1, size=N)
+
+C = np.random.normal(b_PC*P + b_GC*G + b_U*U, 1, size=N)
+
+d = pd.DataFrame.from_dict({'C':C, 'P':P, 'G':G, 'U':U})
+
+d.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    CPGU
    00.9869951.197787-0.7959151
    15.7154463.5736360.0727461
    2-4.387763-3.131400-0.261240-1
    32.5984540.462321-1.2980471
    46.6143884.9311932.6761121
    +
    +
    +
    +
    +

    R Code 6.27

    +
    +
    +
    # C ~ P + G
+
+model = """
+    data {
+        int N;
+        vector[N] C;
+        vector[N] P;
+        vector[N] G;
+    }
+    
+    parameters {
+        real alpha;
+        real b_PC;
+        real b_GC;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha + b_PC*P[i] + b_GC*G[i];
+        }
+        
+        C ~ normal(mu, sigma);
+        
+        alpha ~ normal(0, 1);
+        b_PC ~ normal(0, 1);
+        b_GC ~ normal(0, 1);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': len(d.C.values),
+    'C': d.C.values,
+    'P': d.P.values,
+    'G': d.G.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.070.10-0.100.24
    b_PC1.770.041.701.84
    b_GC-0.820.10-1.01-0.65
    sigma1.330.071.201.45
    +
    +
    +
    +
    +
    Vide.plot_forest(samples)
+
    +
    +
    +
    +_images/parte_6_99_0.png +
    +
    +
    +
    +
    # Figure 6.5
+plt.figure(figsize=(17, 6))
+
+colors = ['black' if u <= 0 else 'blue' for u in U]  # Unobserved
+
+x = np.linspace(-3, 4)
+y = np.mean(samples['alpha']) + np.mean(samples['b_GC']) * x
+
+plt.plot(x, y, c='k')
+
+plt.scatter(G, C, c=colors)
+plt.xlabel('Granparent Education (G)')
+plt.ylabel('GranChild Education (C)')
+plt.title('Educations - Bias Collider')
+plt.show()
+
    +
    +
    +
    +_images/parte_6_100_0.png +
    +
    +
    +
    +

    R Code 6.28

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] C;
+        vector[N] P;
+        vector[N] G;
+        vector[N] U;
+    }
+    
+    parameters {
+        real alpha;
+        real b_PC;
+        real b_GC;
+        real b_U;
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha + b_PC*P[i] + b_GC*G[i] + b_U*U[i];
+        }
+        
+        C ~ normal(mu, sigma);
+        
+        alpha ~ normal(0, 1);
+        b_GC ~ normal(0, 1);
+        b_PC ~ normal(0, 1);
+        b_U  ~ normal(0, 1);
+        sigma ~ exponential(1);
+    }
+"""
+
+data = {
+    'N': len(d.C.values),
+    'C': d.C.values,
+    'P': d.P.values,
+    'G': d.G.values,
+    'U': d.U.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.070.07-0.060.21
    b_PC1.000.070.861.12
    b_GC-0.030.10-0.220.15
    b_U1.970.171.682.27
    sigma1.020.050.931.11
    +
    +
    +
    +
    +
    Vide.plot_forest(samples)
+
    +
    +
    +
    +_images/parte_6_104_0.png +
    +
    +
    +
    +

    R Code 6.29

    +

    Reference: ksachdeva

    +
    +
    +
    dag_6_1 = CausalGraphicalModel(
+    nodes=["C", "U", "B", "A", "X", "Y"],
+    edges=[
+        ("U", "X"),
+        ("A", "U"),
+        ("A", "C"),
+        ("C", "Y"),
+        ("U", "B"),
+        ("C", "B"),
+        ("X", "Y"),
+    ],
+)
+
+pgm = daft.PGM()
+coordinates = {
+    "U": (0, 2),
+    "C": (4, 2),
+    "A": (2, 3),
+    "B": (2, 1),
+    "X": (0, 0),
+    "Y": (4, 0),
+}
+for node in dag_6_1.dag.nodes:
+    pgm.add_node(node, node, *coordinates[node])
+for edge in dag_6_1.dag.edges:
+    pgm.add_edge(*edge)
+pgm.render()
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_106_0.png +
    +
    +
    +
    +
    all_adjustment_sets = dag_6_1.get_all_backdoor_adjustment_sets("X", "Y")
+
+for s in all_adjustment_sets:
+    if all(not t.issubset(s) for t in all_adjustment_sets if t != s):
+        if s != {"U"}:
+            print(s)
+
    +
    +
    +
    +
    frozenset({'C'})
+frozenset({'A'})
+
    +
    +
    +
    +
    +
    +

    R Code 6.30

    +
    +
    +
    dag_6_2 = CausalGraphicalModel(
+    nodes=['S', 'A', 'M', 'W', 'D'],
+    edges=[
+        ('S','W'),
+        ('S','M'),
+        ('S','A'),
+        ('A','M'),
+        ('A','D'),
+        ('M','D'),
+        ('W','D'),
+    ],
+)
+
+# Drawing the DAG
+pgm = daft.PGM()
+coordinates = {
+    "S": (0, 2),
+    "A": (0, 0),
+    "M": (1, 1),
+    "W": (2, 2),
+    "D": (2, 0),
+}
+for node in dag_6_2.dag.nodes:
+    pgm.add_node(node, node, *coordinates[node])
+for edge in dag_6_2.dag.edges:
+    pgm.add_edge(*edge)
+pgm.render()
+
+plt.show()
+
    +
    +
    +
    +_images/parte_6_109_0.png +
    +
    +
    +
    +
    # R Code 6.30
+
+all_adjustment_sets = dag_6_2.get_all_backdoor_adjustment_sets("W", "D")
+
+
+for s in all_adjustment_sets:
+    if all(not t.issubset(s) for t in all_adjustment_sets if t != s):
+        print(s)
+
    +
    +
    +
    +
    frozenset({'A', 'M'})
+frozenset({'S'})
+
    +
    +
    +
    +
    +
    +

    R Code 6.31

    +

    Reference: Fehiepsi - Numpyro

    +
    +
    +
    all_independencies = dag_6_2.get_all_independence_relationships()
+
+for s in all_independencies:
+    if all(
+        t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])
+        for t in all_independencies
+        if t != s
+    ):
+        print(s)
+
    +
    +
    +
    +
    ('M', 'W', {'S'})
+('W', 'A', {'S'})
+('S', 'D', {'W', 'A', 'M'})
+
    +
    +
    +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    5 - Muitas Variáveis e os Waffles Espúrios

    +
    +     + +
    +

    next

    +

    7 - Compasso de Ulisses

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_7.html b/parte_7.html new file mode 100644 index 0000000..cb0b32d --- /dev/null +++ b/parte_7.html @@ -0,0 +1,6230 @@ + + + + + + + + 7 - Compasso de Ulisses — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    7 - Compasso de Ulisses

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+from videpy import Vide
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    R Code 7.1 - Pag 194

    +
    +
    +
    sppnames = ('afarensis', 'africanus', 'habilis',  'boisei', 'rudolfensis', 'ergaster', 'sapiens')
+brainvolcc = (438, 452, 612, 521,  752, 871, 1350)
+masskg = (37.0, 35.5, 34.5, 41.5, 55.5, 61.0, 53.5)
+
+d = pd.DataFrame({'species':sppnames, 'brain': brainvolcc, 'mass':masskg})
+d
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    speciesbrainmass
    0afarensis43837.0
    1africanus45235.5
    2habilis61234.5
    3boisei52141.5
    4rudolfensis75255.5
    5ergaster87161.0
    6sapiens135053.5
    +
    +
    +
    +
    +
    fig, ax = plt.subplots(figsize=(15, 7))
+ax.scatter(d.mass, d.brain, marker='o', s=50)
+
+for i, text in enumerate(sppnames):
+    ax.annotate(text, (d.mass[i]+0.3, d.brain[i]+10))
+    
+ax.set_title('Figure 7.2 - Relationshiip between Brain and Body hominin species')
+ax.set_xlabel('Body mass')
+ax.set_ylabel('Brain volume')
+
+ax.grid(ls='--', color='white', alpha=0.4)
+plt.show()
+
    +
    +
    +
    +_images/parte_7_5_0.png +
    +
    +
    +
    +

    R Code 7.2 - pag 196

    +
    +
    +
    np.std(d.mass, ddof=1)
+
    +
    +
    +
    +
    10.90489186863706
+
    +
    +
    +
    +
    +
    +
    d.mass.std()
+
    +
    +
    +
    +
    10.90489186863706
+
    +
    +
    +
    +
    +
    +
    d['mass_std'] = (d.mass - d.mass.mean())/d.mass.std()
+d['brain_std'] = d.brain / np.max(d.brain)
+d
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    speciesbrainmassmass_stdbrain_std
    0afarensis43837.0-0.7794670.324444
    1africanus45235.5-0.9170200.334815
    2habilis61234.5-1.0087220.453333
    3boisei52141.5-0.3668080.385926
    4rudolfensis75255.50.9170200.557037
    5ergaster87161.01.4213800.645185
    6sapiens135053.50.7336161.000000
    +
    +
    +
    +
    +
    fig, ax = plt.subplots(figsize=(15, 7))
+ax.scatter(d.mass_std, d.brain_std, marker='o', s=50)
+
+for i, text in enumerate(sppnames):
+    ax.annotate(text, (d.mass_std[i]+0.03, d.brain_std[i]+0.03))
+    
+ax.set_title('Figure 7.2 - Relationshiip between Brain and Body hominin species')
+ax.set_xlabel('Body mass - Rescaling')
+ax.set_ylabel('Brain volume - Rescaling')
+
+ax.grid(ls='--', color='white', alpha=0.4)
+plt.show()
+
    +
    +
    +
    +_images/parte_7_10_0.png +
    +
    +
    +
    +

    R Code 7.3 - pag 196

    +

    Modelo linear:

    +

    \(\begin{align} +b_i \sim Normal(\mu_i, \sigma) \\ +\mu_i = \alpha + \beta m_i \\ +\alpha \sim Normal(0.5, 1) \\ +\beta \sim Normal(0, 10) \\ +\sigma \sim LogNormal(0, 1) \\ +\end{align}\)

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+        // real log_sigma;  // Like the book
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta * body;
+                
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        beta ~ normal(0, 10);
+        sigma ~ lognormal(0, 1);
+        // log_sigma ~ normal(0, 1);  // Like the book 
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+        // brain ~ normal(mu, exp(sigma));  // Like the book
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_1 = stan.build(model, data=data)
+samples_1 = posteriori_1.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples_1)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.530.110.330.72
    beta0.170.12-0.070.37
    sigma0.280.120.110.49
    +
    +
    +
    +
    +
    Vide.plot_forest(samples_1)
+
    +
    +
    +
    +_images/parte_7_15_0.png +
    +
    +
    +
    +

    R Code 7.4 - pag 196

    +

    Just example code in R

    +

    m7.1_OLS <- lm(brain_std ~ brain_std, data=d)

    +
    +
    +

    R Code 7.5 - pag 197

    +
    +
    +
    def var2(x):
+    return np.sum(np.power(x - np.mean(x), 2))/len(x)
+
    +
    +
    +
    +
    +
    +
    mean_std = [np.mean((samples_1['alpha'].flatten() + samples_1['beta'].flatten() * mass)) for mass in d.mass_std.values]
+r = mean_std - d.brain_std
+
+resid_var = var2(r)
+outcome_var = var2(d.brain_std)
+
+1 - resid_var/outcome_var
+
    +
    +
    +
    +
    0.490158020661996
+
    +
    +
    +
    +
    +
    +

    R Code 7.6 - Pag 197

    +
    +
    +
    def R2_is_bad():
+    pass
+
    +
    +
    +
    +
    +
    +

    R Code 7.7 - pag 198

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[2];
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body + beta[2] * body^2;
+        
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:2){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 1);    
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_2 = stan.build(model, data=data)
+samples_2 = posteriori_2.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    Vide.summary(samples_2)
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meanstd7.0%93.0%
    alpha0.610.240.181.04
    beta[0]0.190.16-0.080.48
    beta[1]-0.100.24-0.580.32
    sigma0.300.160.110.54
    +
    +
    +
    +
    +
    Vide.plot_forest(samples_2)
+
    +
    +
    +
    +_images/parte_7_25_0.png +
    +
    +
    +
    +

    R Code 7.8 - Pag 198

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[3];
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3;
+                     
+        // Likelihood
+        brain ~ normal(mu, sigma);
+        
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:3){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 1);    
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_3 = stan.build(model, data=data)
+samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[4];
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4;
+                     
+        // Likelihood
+        brain ~ normal(mu, sigma);
+        
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:4){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 1);    
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_4 = stan.build(model, data=data)
+samples_4 = posteriori_4.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[5];
+        real<lower=0> sigma;
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4 +
+                     beta[5] * body^5;
+                     
+        // Likelihood
+        brain ~ normal(mu, sigma);
+        
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:5){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 1);    
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_5 = stan.build(model, data=data)
+samples_5 = posteriori_5.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +

    R Code 7.9 - Pag 199

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[6];
+    }
+    
+    model {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4 +
+                     beta[5] * body^5 +
+                     beta[6] * body^6;
+                     
+        // Likelihood
+        brain ~ normal(mu, 0.001);
+        
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:6){
+            beta[j] ~ normal(0, 10);
+        }    
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_6 = stan.build(model, data=data)
+samples_6 = posteriori_6.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +

    R Code 7.10 - Pag 199

    +
    +
    +
    mass_seq = np.linspace(start=d.mass_std.min(), stop=d.mass_std.max(), num=100)
+
    +
    +
    +
    +
    +
    +
    pp_1 = [samples_1['alpha'].flatten() + samples_1['beta'].flatten() * mass_i for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    pp_2 = [samples_2['alpha'].flatten() + 
+        samples_2['beta'][0].flatten() * mass_i + 
+        samples_2['beta'][1].flatten() * np.power(mass_i, 2) for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    pp_3 = [samples_3['alpha'].flatten() + 
+        samples_3['beta'][0].flatten() * mass_i + 
+        samples_3['beta'][1].flatten() * np.power(mass_i, 2) + 
+        samples_3['beta'][2].flatten() * np.power(mass_i, 3)
+        for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    pp_4 = [samples_4['alpha'].flatten() + 
+        samples_4['beta'][0].flatten() * mass_i + 
+        samples_4['beta'][1].flatten() * np.power(mass_i, 2) + 
+        samples_4['beta'][2].flatten() * np.power(mass_i, 3) +
+        samples_4['beta'][3].flatten() * np.power(mass_i, 4) 
+        for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    pp_5 = [samples_5['alpha'].flatten() + 
+        samples_5['beta'][0].flatten() * mass_i + 
+        samples_5['beta'][1].flatten() * np.power(mass_i, 2) + 
+        samples_5['beta'][2].flatten() * np.power(mass_i, 3) +
+        samples_5['beta'][3].flatten() * np.power(mass_i, 4) + 
+        samples_5['beta'][4].flatten() * np.power(mass_i, 5) 
+        for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    pp_6 = [samples_6['alpha'].flatten() + 
+        samples_6['beta'][0].flatten() * mass_i + 
+        samples_6['beta'][1].flatten() * np.power(mass_i, 2) + 
+        samples_6['beta'][2].flatten() * np.power(mass_i, 3) +
+        samples_6['beta'][3].flatten() * np.power(mass_i, 4) + 
+        samples_6['beta'][4].flatten() * np.power(mass_i, 5) + 
+        samples_6['beta'][5].flatten() * np.power(mass_i, 6) 
+        for mass_i in mass_seq]
+
    +
    +
    +
    +
    +
    +
    fig = plt.figure(figsize=(18, 20))
+
+gs = GridSpec(nrows=3, ncols=2)
+
+ax1 = fig.add_subplot(gs[0, 0])
+ax1.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax1.plot(mass_seq, pp_1, c='blue', lw=0.01)
+ax1.set_ylim(0, 1.1)
+ax1.set_title('$R^2: 0.51$')
+ax1.set_xlabel('Body mass (KG)')
+ax1.set_ylabel('Brain Volume (cc)')
+
+ax2 = fig.add_subplot(gs[0, 1])
+ax2.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax2.plot(mass_seq, pp_2, c='blue', lw=0.01)
+ax2.set_ylim(0, 1.1)
+ax2.set_title('$R^2: 0.54$')
+ax2.set_xlabel('Body mass (KG)')
+ax2.set_ylabel('Brain Volume (cc)')
+
+ax3 = fig.add_subplot(gs[1, 0])
+ax3.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax3.plot(mass_seq, pp_3, c='blue', lw=0.01)
+ax3.set_ylim(0, 1.1)
+ax3.set_title('$R^2: 0.69$')
+ax3.set_xlabel('Body mass (KG)')
+ax3.set_ylabel('Brain Volume (cc)')
+
+ax4 = fig.add_subplot(gs[1, 1])
+ax4.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax4.plot(mass_seq, pp_4, c='blue', lw=0.01)
+ax4.set_ylim(0, 1.1)
+ax4.set_title('$R^2: 0.82$')
+ax4.set_xlabel('Body mass (KG)')
+ax4.set_ylabel('Brain Volume (cc)')
+
+ax5 = fig.add_subplot(gs[2, 0])
+ax5.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax5.plot(mass_seq, pp_5, c='blue', lw=0.01)
+ax5.set_ylim(0, 1.1)
+ax5.set_title('$R^2: 0.99$')
+ax5.set_xlabel('Body mass (KG)')
+ax5.set_ylabel('Brain Volume (cc)')
+
+ax6 = fig.add_subplot(gs[2, 1])
+ax6.scatter(d.mass_std.values, d.brain_std.values, c='black')
+ax6.plot(mass_seq, pp_6, c='blue', lw=0.01)
+ax6.set_ylim(0, 1.1)
+ax6.set_title('$R^2: 1$')
+ax6.set_xlabel('Body mass (KG)')
+ax6.set_ylabel('Brain Volume (cc)')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_7_40_0.png +
    +
    +
    +
    +

    R Code 7.11 - Pag 201

    +
    +
    +
    d.brain_std
+
    +
    +
    +
    +
    0    0.324444
+1    0.334815
+2    0.453333
+3    0.385926
+4    0.557037
+5    0.645185
+6    1.000000
+Name: brain_std, dtype: float64
+
    +
    +
    +
    +

    Deletando a linha \(i=3\) do dataframe:

    +
    +
    +
    d_deleted_line_3 = d.brain_std.drop(3)
+d_deleted_line_3
+
    +
    +
    +
    +
    0    0.324444
+1    0.334815
+2    0.453333
+4    0.557037
+5    0.645185
+6    1.000000
+Name: brain_std, dtype: float64
+
    +
    +
    +
    +
    +
    +

    R Code 7.12 - Pag 206

    +

    Entropia da informação: A incerteza contida na distribuição de probabilidade é a média do \(log\) da probabilidade do evento.

    +
    +
    +
    def H(p):
+    """Information Entropy
+    H(p):= -sum(p_i * log(pi))
+    """
+    if not np.sum(p) == 1:
+        print('ProbabilityError: This is not probability, its sum not equal to 1.')
+    else:
+        return - np.sum([p_i * np.log(p_i) if p_i > 0 else 0 for p_i in p])
+
    +
    +
    +
    +
    +
    +
    p = (0.3, 0.7)  # (p_rain, p_sum)
+
+H(p)
+
    +
    +
    +
    +
    0.6108643020548935
+
    +
    +
    +
    +

    A incerteza do clima de Abu Dhabi é menor, pois é pouco provável que chova.

    +
    +
    +
    p_AbuDhabi = (0.01, 0.99)  # (p_rain, p_sum)
+
+H(p_AbuDhabi)
+
    +
    +
    +
    +
    0.056001534354847345
+
    +
    +
    +
    +
    +
    +
    p_3dim = (0.7, 0.15, 0.15)  # (p_1, p_2, p_3)
+
+H(p_3dim)
+
    +
    +
    +
    +
    0.818808456222877
+
    +
    +
    +
    +
    +
    +

    R Code 7.13 - pag 210

    +

    References:

    + +

    Obs:

    +

    Here I learned to use the two blocks in stan: transformed parameters and generated quantities.

    +

    To calculate the Deviance it is necessary to make these changes.

    +

    That’s why I did all 6 estimates again with the calculations needed.

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        mu = alpha + beta * body;
+    }
+    
+    model {
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        beta ~ normal(0, 10);
+        sigma ~ lognormal(0, 1);    
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] brain_hat;
+        
+        for (i in 1:N){
+            log_lik[i] = normal_lpdf(brain[i] | mu[i], sigma);
+            brain_hat[i] = normal_rng(mu[i], sigma);
+        }
+        
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_1 = stan.build(model, data=data)
+samples_1 = posteriori_1.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[2];
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters{
+        vector[N] mu;
+        mu = alpha + beta[1] * body + 
+                     beta[2] * body^2;
+    }
+    
+    model {
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:2){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 10);    
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_2 = stan.build(model, data=data)
+samples_2 = posteriori_2.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[3];
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3;
+    }
+    
+    model {                     
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:3){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 10);   
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_3 = stan.build(model, data=data)
+samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[4];
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4;
+    }
+    
+    model {
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:4){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 10); 
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);   
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_4 = stan.build(model, data=data)
+samples_4 = posteriori_4.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[5];
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4 +
+                     beta[5] * body^5;
+    }
+    
+    model {          
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:5){
+            beta[j] ~ normal(0, 10);
+        }
+        sigma ~ lognormal(0, 10);    
+        
+        // Likelihood
+        brain ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] brain_hat;
+        
+        for (i in 1:N){
+            log_lik[i] = normal_lpdf(brain[i] | mu[i], sigma);
+            brain_hat[i] = normal_rng(mu[i], sigma);
+        }
+        
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_5 = stan.build(model, data=data)
+samples_5 = posteriori_5.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] brain;
+        vector[N] body;
+    }
+    
+    parameters {
+        real alpha;
+        real beta[6];
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta[1] * body   + 
+                     beta[2] * body^2 +
+                     beta[3] * body^3 +
+                     beta[4] * body^4 +
+                     beta[5] * body^5 +
+                     beta[6] * body^6;
+    }
+    
+    model {          
+        // Prioris
+        alpha ~ normal(0.5, 1);
+        for (j in 1:6){
+            beta[j] ~ normal(0, 10);
+        }    
+        
+        // Likelihood
+        brain ~ normal(mu, 0.001);
+    }
+    
+    generated quantities {
+        vector[N] log_ll_y;
+        
+        for (i in 1:N){
+            log_ll_y[i] = normal_lpdf(brain[i] | mu, 0.001);
+        }
+    }
+"""
+
+data = {
+    'N': len(d.brain_std),
+    'brain': d.brain_std.values,
+    'body': d.mass_std.values,
+}
+
+posteriori_6 = stan.build(model, data=data)
+samples_6 = posteriori_6.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    def lppd(samples, outcome, std_residuals=True):
+    """ Calculate the LOG-POINTWISE-PREDICTIVE-DENSITY
+    
+    samples : stan
+        Sampler results of fit posteriori. 
+        Need 'mu' already computed.
+    
+    outcome : list
+        List with outcomes the original data.
+        
+    std_residuals : booleans
+        Compute lppd using std of the residuals 
+    """
+    mu = samples['mu']
+    N = len(outcome)
+    K = np.shape(mu)[1]  # Qty samples (mu) sampled from posteriori
+
+    outcome = outcome.reshape(-1, 1)
+
+    if std_residuals:
+        sigma = (np.sum((mu - outcome)**2, 0) / N)**0.5    
+    else:
+        sigma = samples['sigma'].flatten()
+        
+    lppd = np.empty(N, dtype=float)
+       
+    for i in range(N):
+        log_posteriori_predictive = stats.norm.logpdf(outcome[i], mu[i], sigma)
+
+        lppd[i] = np.log(np.sum(np.exp(log_posteriori_predictive))) - np.log(K)
+    
+    return lppd    
+
    +
    +
    +
    +
    +
    +

    R Code 7.15

    +

    Like the book and the this one the values here have slight differeces.

    +

    Need review calculations - pag 211 - 2ed

    +
    +
    +
    lppd_lm = []
+
+lppd_lm.append(np.sum(lppd(samples_1, d.brain_std.values, std_residuals=True)))
+lppd_lm.append(np.sum(lppd(samples_2, d.brain_std.values, std_residuals=True)))
+lppd_lm.append(np.sum(lppd(samples_3, d.brain_std.values, std_residuals=True)))
+lppd_lm.append(np.sum(lppd(samples_4, d.brain_std.values, std_residuals=True)))
+lppd_lm.append(np.sum(lppd(samples_5, d.brain_std.values, std_residuals=True)))
+lppd_lm.append(np.sum(lppd(samples_6, d.brain_std.values, std_residuals=True)))
+
+lppd_lm
+
    +
    +
    +
    +
    [1.9566327201814353,
+ 1.941588551424057,
+ 2.14378226869432,
+ 2.754228507821768,
+ 5.480033073131333,
+ 40.03033955975213]
+
    +
    +
    +
    +
    +
    +
    import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
    +
    +
    +
    +
    +
    +
    data = az.from_pystan(
+    posterior=samples_5,
+    posterior_predictive="brain_hat",
+    observed_data=data,
+    log_likelihood={"brain": "log_lik"},
+)
+
+data
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:     (chain: 4, draw: 1000, beta_dim_0: 5, mu_dim_0: 7)
+Coordinates:
+  * chain       (chain) int64 0 1 2 3
+  * draw        (draw) int64 0 1 2 3 4 5 6 7 ... 992 993 994 995 996 997 998 999
+  * beta_dim_0  (beta_dim_0) int64 0 1 2 3 4
+  * mu_dim_0    (mu_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    alpha       (chain, draw) float64 0.7899 0.4723 0.1157 ... 0.7226 1.419
+    beta        (chain, draw, beta_dim_0) float64 -1.853 -0.7106 ... 0.8986
+    sigma       (chain, draw) float64 0.7009 0.3478 0.3989 ... 0.1128 0.1313
+    mu          (chain, draw, mu_dim_0) float64 0.7289 0.2776 ... 0.533 1.005
+Attributes:
+    created_at:                 2023-08-11T18:53:39.503098
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000, brain_hat_dim_0: 7)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+  * brain_hat_dim_0  (brain_hat_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    brain_hat        (chain, draw, brain_hat_dim_0) float64 -0.6716 ... 1.096
+Attributes:
+    created_at:                 2023-08-11T18:53:39.659568
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:      (chain: 4, draw: 1000, brain_dim_0: 7)
+Coordinates:
+  * chain        (chain) int64 0 1 2 3
+  * draw         (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * brain_dim_0  (brain_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    brain        (chain, draw, brain_dim_0) float64 -0.7301 -0.5669 ... 1.111
+Attributes:
+    created_at:                 2023-08-11T18:53:39.614761
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9942 0.9932 1.0 ... 0.7437 0.6009
+    step_size        (chain, draw) float64 0.02283 0.02283 ... 0.01823 0.01823
+    tree_depth       (chain, draw) int64 6 7 5 4 8 6 5 4 5 ... 5 6 7 7 5 7 8 7 7
+    n_steps          (chain, draw) int64 63 159 31 31 255 ... 47 127 255 255 191
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 2.459 5.23 0.8842 ... -7.189 -5.73
+    lp               (chain, draw) float64 -1.21 0.03107 2.038 ... 10.68 9.605
+Attributes:
+    created_at:                 2023-08-11T18:53:39.561999
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    data5 = az.from_pystan(
+    posterior=samples_5,
+    posterior_predictive="brain_hat",
+    observed_data=data,
+    log_likelihood={"brain": "log_lik"},
+)
+
+data5
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:     (chain: 4, draw: 1000, beta_dim_0: 5, mu_dim_0: 7)
+Coordinates:
+  * chain       (chain) int64 0 1 2 3
+  * draw        (draw) int64 0 1 2 3 4 5 6 7 ... 992 993 994 995 996 997 998 999
+  * beta_dim_0  (beta_dim_0) int64 0 1 2 3 4
+  * mu_dim_0    (mu_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    alpha       (chain, draw) float64 0.7899 0.4723 0.1157 ... 0.7226 1.419
+    beta        (chain, draw, beta_dim_0) float64 -1.853 -0.7106 ... 0.8986
+    sigma       (chain, draw) float64 0.7009 0.3478 0.3989 ... 0.1128 0.1313
+    mu          (chain, draw, mu_dim_0) float64 0.7289 0.2776 ... 0.533 1.005
+Attributes:
+    created_at:                 2023-08-11T18:53:39.756266
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000, brain_hat_dim_0: 7)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+  * brain_hat_dim_0  (brain_hat_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    brain_hat        (chain, draw, brain_hat_dim_0) float64 -0.6716 ... 1.096
+Attributes:
+    created_at:                 2023-08-11T18:53:39.902129
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:      (chain: 4, draw: 1000, brain_dim_0: 7)
+Coordinates:
+  * chain        (chain) int64 0 1 2 3
+  * draw         (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * brain_dim_0  (brain_dim_0) int64 0 1 2 3 4 5 6
+Data variables:
+    brain        (chain, draw, brain_dim_0) float64 -0.7301 -0.5669 ... 1.111
+Attributes:
+    created_at:                 2023-08-11T18:53:39.855774
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9942 0.9932 1.0 ... 0.7437 0.6009
+    step_size        (chain, draw) float64 0.02283 0.02283 ... 0.01823 0.01823
+    tree_depth       (chain, draw) int64 6 7 5 4 8 6 5 4 5 ... 5 6 7 7 5 7 8 7 7
+    n_steps          (chain, draw) int64 63 159 31 31 255 ... 47 127 255 255 191
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 2.459 5.23 0.8842 ... -7.189 -5.73
+    lp               (chain, draw) float64 -1.21 0.03107 2.038 ... 10.68 9.605
+Attributes:
+    created_at:                 2023-08-11T18:53:39.807300
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    y_true = d.brain_std.values
+y_pred = data5.posterior_predictive.stack(sample=("chain", "draw"))["brain_hat"].values.T
+az.r2_score(y_true, y_pred)
+
    +
    +
    +
    +
    r2        0.672509
+r2_std    0.166309
+dtype: float64
+
    +
    +
    +
    +
    +
    +
    aa = az.loo(samples_5, pointwise=True)
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.
+  warnings.warn(
+
    +
    +
    +
    +
    +
    +
    az.plot_elpd({'samples_1':samples_1, 'samples_5': samples_5}, xlabels=True)
+plt.show()
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/stats.py:803: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.
+  warnings.warn(
+
    +
    +_images/parte_7_70_1.png +
    +
    +
    +
    +
    aaa = data.posterior_predictive.brain_hat[0].values
+np.log(np.sum(np.exp(aaa.T), 1)) - np.log(1000)
+
    +
    +
    +
    +
    array([0.50019162, 0.61303674, 0.6133973 , 0.44845226, 0.79786415,
+       2.0166922 , 7.29542366])
+
    +
    +
    +
    +
    +
    +

    R Code 7.16

    +

    Just using Rethinking Packages - pag 213

    +
    +
    +

    R Code 7.17

    +

    Just using Rethinking Packages - Pag 213

    +
    +
    +

    R Code 7.18

    +

    Just using Rethinking Packages - pag 214

    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    6 - Os DAGs assombrados & O Terror Causal

    +
    +     + +
    +

    next

    +

    8 - Os peixes-bois condicionais

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_8.html b/parte_8.html new file mode 100644 index 0000000..3aef91a --- /dev/null +++ b/parte_8.html @@ -0,0 +1,22043 @@ + + + + + + + + 8 - Os peixes-bois condicionais — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    8 - Os peixes-bois condicionais

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    R Code 8.1

    +
    +
    +
    df = pd.read_csv('./data/rugged.csv', sep=';')
+df.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    isocodeisonumcountryruggedrugged_popwrugged_sloperugged_lsdrugged_pcland_arealat...africa_region_wafrica_region_eafrica_region_cslave_exportsdist_slavemkt_atlanticdist_slavemkt_indiandist_slavemkt_saharandist_slavemkt_redseapop_1400european_descent
    0ABW533Aruba0.4620.3801.2260.1440.00018.012.508...0000.0NaNNaNNaNNaN614.0NaN
    1AFG4Afghanistan2.5181.4697.4140.72039.00465209.033.833...0000.0NaNNaNNaNNaN1870829.00.0
    2AGO24Angola0.8580.7142.2740.2284.906124670.0-12.299...0013610000.05.6696.9814.9263.8721223208.02.0
    3AIA660Anguilla0.0130.0100.0260.0060.0009.018.231...0000.0NaNNaNNaNNaNNaNNaN
    4ALB8Albania3.4271.59710.4511.00662.1332740.041.143...0000.0NaNNaNNaNNaN200000.0100.0
    +

    5 rows × 51 columns

    +
    +
    +
    +
    +
    df['log_gdp'] = np.log(df['rgdppc_2000'])  # Log version of outcome
+df[['rgdppc_2000', 'log_gdp']].head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    rgdppc_2000log_gdp
    0NaNNaN
    1NaNNaN
    21794.7297.492609
    3NaNNaN
    43703.1138.216929
    +
    +
    +
    +
    +
    ddf = df[~np.isnan(df['log_gdp'].values)].copy()
+
+ddf['log_gdp_std'] = ddf['log_gdp'] / np.mean(ddf['log_gdp'])
+ddf['rugged_std'] = ddf['rugged'] / np.max(ddf['rugged'])
+
+ddf[['log_gdp_std', 'rugged_std']]
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    log_gdp_stdrugged_std
    20.8797120.138342
    40.9647550.552564
    71.1662700.123992
    81.1044850.124960
    90.9149040.433409
    .........
    2290.9966810.270397
    2300.7830320.374557
    2311.0743650.283941
    2320.7809670.085940
    2330.9185890.192519
    +

    170 rows × 2 columns

    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+plt.hist(ddf['log_gdp_std'], density=True, rwidth=0.9)
+plt.title('log_gdp \n 1: mean; \n 0.8: 80% of the average \n 1.1: 10% more than average')
+plt.axvline(x=1, c='r', ls='--')
+plt.show()
+
+plt.figure(figsize=(17, 8))
+plt.hist(ddf['rugged_std'], density=True, rwidth=0.9)
+plt.title('Rugged \n min:0 and max:1')
+plt.axvline(x=np.mean(ddf['rugged_std']), c='r', ls='--')
+plt.show()
+
    +
    +
    +
    +_images/parte_8_9_0.png +_images/parte_8_9_1.png +
    +
    +
    +
    +

    R Code 8.2

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] log_gdp_std;
+        vector[N] rugged_std;
+        real rugged_std_average;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta * (rugged_std - rugged_std_average);
+    }
+    
+    model {
+        // Prioris
+        
+        alpha ~ normal(1, 1);
+        beta ~ normal(0, 1);
+        sigma ~ exponential(1);
+        
+        // Likelihood
+        log_gdp_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;  // By default, if a variable log_lik is present in the Stan model, it will be retrieved as pointwise log likelihood values.
+        vector[N] log_gdp_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);
+            log_gdp_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(ddf),
+    'log_gdp_std': ddf['log_gdp_std'].values,
+    'rugged_std': ddf['rugged_std'].values,
+    'rugged_std_average': ddf['rugged_std'].mean(),
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    # Transform to dataframe pandas
+df_samples = samples.to_frame()
+df_samples.head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    parameterslp__accept_stat__stepsize__treedepth__n_leapfrog__divergent__energy__alphabetasigma...log_gdp_std_hat.161log_gdp_std_hat.162log_gdp_std_hat.163log_gdp_std_hat.164log_gdp_std_hat.165log_gdp_std_hat.166log_gdp_std_hat.167log_gdp_std_hat.168log_gdp_std_hat.169log_gdp_std_hat.170
    draws
    0251.0959560.9349160.7564212.03.00.0-249.1336441.0031600.0126650.132500...1.0340120.9065650.9899830.9459651.0465661.0124280.8714370.9555931.0419510.856201
    1247.2625790.9893670.7518192.03.00.0-246.7448461.0057810.1357470.151454...1.0444601.1445660.8755330.8609641.0945811.1773791.0832081.0131220.9925721.167171
    2250.3803680.9985160.9439342.07.00.0-249.9457321.0025150.0327140.128198...1.0471501.0074801.0195301.0522041.1128281.1496021.1754021.2795791.0006480.870344
    3250.5167860.9137920.8625092.03.00.0-249.6467041.0026200.0450100.130002...1.1447940.9942871.0060641.1332130.8782181.2464870.9568000.6693291.0840750.973772
    4247.9279750.5746940.7564212.03.00.0-246.2561421.018086-0.0779980.129151...0.9213050.8147420.9186430.9826260.9494440.8862781.1590550.9028150.8374511.115775
    +

    5 rows × 520 columns

    +
    +
    +
    +
    +
    # stan_fit to arviz_stan
+
+stan_data = az.from_pystan(
+    posterior=samples,
+    posterior_predictive="log_gdp_std_hat",
+    observed_data=['log_gdp_std'],
+    prior=samples,
+    prior_model=posteriori,
+    posterior_model=posteriori,
+)
+
    +
    +
    +
    +
    +
    +
    stan_data
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 170)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 ... 163 164 165 166 167 168 169
+Data variables:
+    alpha     (chain, draw) float64 1.003 1.018 1.01 ... 1.0 0.9874 0.9897
+    beta      (chain, draw) float64 0.01267 -0.078 -0.09028 ... -0.06006 -0.0592
+    sigma     (chain, draw) float64 0.1325 0.1292 0.1447 ... 0.1439 0.1427
+    mu        (chain, draw, mu_dim_0) float64 1.002 1.007 1.002 ... 0.9973 0.991
+Attributes:
+    created_at:                 2023-08-11T19:31:12.686511
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/tsiivt35
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 1.119...
+Attributes:
+    created_at:                 2023-08-11T19:31:12.851711
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 170)
+Coordinates:
+  * chain          (chain) int64 0 1 2 3
+  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 ... 164 165 166 167 168 169
+Data variables:
+    log_lik        (chain, draw, log_lik_dim_0) float64 0.675 1.05 ... 0.899
+Attributes:
+    created_at:                 2023-08-11T19:31:12.800781
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9349 0.5747 0.946 ... 0.9162 1.0
+    step_size        (chain, draw) float64 0.7564 0.7564 ... 0.8625 0.8625
+    tree_depth       (chain, draw) int64 2 2 2 2 2 2 2 3 2 ... 2 3 2 3 3 2 2 2 1
+    n_steps          (chain, draw) int64 3 3 3 3 3 3 3 7 3 ... 3 7 3 7 7 3 3 7 1
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -249.1 -246.3 ... -247.2 -249.7
+    lp               (chain, draw) float64 251.1 247.9 249.2 ... 249.7 250.1
+Attributes:
+    created_at:                 2023-08-11T19:31:12.739805
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/tsiivt35
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, mu_dim_0: 170,
+                            log_lik_dim_0: 170, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * mu_dim_0               (mu_dim_0) int64 0 1 2 3 4 5 ... 165 166 167 168 169
+  * log_lik_dim_0          (log_lik_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    alpha                  (chain, draw) float64 1.003 1.018 ... 0.9874 0.9897
+    beta                   (chain, draw) float64 0.01267 -0.078 ... -0.0592
+    sigma                  (chain, draw) float64 0.1325 0.1292 ... 0.1439 0.1427
+    mu                     (chain, draw, mu_dim_0) float64 1.002 1.007 ... 0.991
+    log_lik                (chain, draw, log_lik_dim_0) float64 0.675 ... 0.899
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 1.119...
+Attributes:
+    created_at:                 2023-08-11T19:31:12.909230
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/tsiivt35
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    lp               (chain, draw) float64 251.1 247.9 249.2 ... 249.7 250.1
+    acceptance_rate  (chain, draw) float64 0.9349 0.5747 0.946 ... 0.9162 1.0
+    step_size        (chain, draw) float64 0.7564 0.7564 ... 0.8625 0.8625
+    tree_depth       (chain, draw) int64 2 2 2 2 2 2 2 3 2 ... 2 3 2 3 3 2 2 2 1
+    n_steps          (chain, draw) int64 3 3 3 3 3 3 3 7 3 ... 3 7 3 7 7 3 3 7 1
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -249.1 -246.3 ... -247.2 -249.7
+Attributes:
+    created_at:                 2023-08-11T19:31:12.966971
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/tsiivt35
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:            (log_gdp_std_dim_0: 170)
+Coordinates:
+  * log_gdp_std_dim_0  (log_gdp_std_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+Data variables:
+    log_gdp_std        (log_gdp_std_dim_0) float64 0.8797 0.9648 ... 0.9186
+Attributes:
+    created_at:                 2023-08-11T19:31:12.653606
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    az.summary(stan_data, var_names=['alpha', 'beta', 'sigma'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha1.0000.0100.9801.0190.0000.0004227.02654.01.0
    beta0.0020.056-0.0970.1130.0010.0013467.02810.01.0
    sigma0.1380.0080.1250.1530.0000.0003838.02808.01.0
    +
    +
    +
    +
    +

    R Code 8.3

    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+alpha = np.random.normal(1, 1, 1000)
+beta = np.random.normal(0, 1, 1000)
+
+rugged_seq = np.linspace(0, 1, 100)
+
+for i in range(100):
+    plt.plot(rugged_seq, alpha[i] + beta[i] * rugged_seq, c='blue')
+    
+plt.axhline(y=1.3, c='r', ls='--')    
+plt.axhline(y=0.7, c='r', ls='--')    
+    
+plt.ylim((0.5, 1.5))
+plt.title('Using vague priors')
+plt.xlabel('Ruggedness')
+plt.ylabel('Log GDP')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_8_17_0.png +
    +
    +
    +
    +

    R Code 8.4

    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+plt.hist(beta, bins=30, rwidth=0.9)
+plt.axvline(x=0.6, c='r', ls='--')
+plt.axvline(x=-0.6, c='r', ls='--')
+plt.show()
+
    +
    +
    +
    +_images/parte_8_19_0.png +
    +
    +
    +
    +
    np.sum(np.sum(np.abs(beta) > 0.6) / len(beta))
+
    +
    +
    +
    +
    0.55
+
    +
    +
    +
    +
    +
    +

    R Code 8.5

    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+alpha = np.random.normal(1, 0.1, 1000)
+beta = np.random.normal(0, 0.3, 1000)
+
+rugged_seq = np.linspace(0, 1, 100)
+
+for i in range(100):
+    plt.plot(rugged_seq, alpha[i] + beta[i] * rugged_seq, c='blue')
+    
+plt.axhline(y=1.3, c='r', ls='--')    
+plt.axhline(y=0.7, c='r', ls='--')    
+
+plt.ylim((0.5, 1.5))
+plt.title('Using a informative prior')
+plt.xlabel('Ruggedness')
+plt.ylabel('Log GDP')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_8_22_0.png +
    +
    +
    +
    +
    model2 = """
+    data {
+        int N;
+        vector[N] log_gdp_std;
+        vector[N] rugged_std;
+        real rugged_std_average;
+    }
+    
+    parameters {
+        real alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta * (rugged_std - rugged_std_average);
+    
+    }
+    
+    model {
+        // Prioris
+        
+        alpha ~ normal(1, 0.1);
+        beta ~ normal(0, 0.3);
+        sigma ~ exponential(1);
+        
+        // Likelihood
+        log_gdp_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;  // By default, if a variable log_lik is present in the Stan model, it will be retrieved as pointwise log likelihood values.
+        vector[N] log_gdp_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);
+            log_gdp_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(ddf),
+    'log_gdp_std': ddf['log_gdp_std'].values,
+    'rugged_std': ddf['rugged_std'].values,
+    'rugged_std_average': ddf['rugged_std'].mean(),
+}
+
+posteriori = stan.build(model2, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    stan_data2 = az.from_pystan(
+    posterior=samples,
+    posterior_predictive="log_gdp_std_hat",
+    observed_data=['log_gdp_std'],
+    prior=samples,
+    prior_model=posteriori,
+    posterior_model=posteriori,
+)
+
    +
    +
    +
    +
    +
    +
    az.summary(stan_data, var_names=['alpha', 'beta', 'sigma'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha1.0000.0100.9801.0190.0000.0004227.02654.01.0
    beta0.0020.056-0.0970.1130.0010.0013467.02810.01.0
    sigma0.1380.0080.1250.1530.0000.0003838.02808.01.0
    +
    +
    +
    +
    +

    R Code 8.7

    +
    +
    +
    ddf['cid'] = [1 if cont_africa == 1 else 2 for cont_africa in ddf['cont_africa']]
+ddf[['cont_africa', 'cid']].head()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    cont_africacid
    211
    402
    702
    802
    902
    +
    +
    +
    +
    +

    R Code 8.8

    +
    +
    +
    model3 = """
+    data {
+        int N;
+        vector[N] log_gdp_std;
+        vector[N] rugged_std;
+        array[N] int cid;  // Must be integer because this is index to alpha.
+        real rugged_std_average;
+    }
+    
+    parameters {
+        real alpha[2];  //Can be used to real alpha[2] or array[2] int alpha;
+        real beta;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha[ cid[i] ] + beta * (rugged_std[i] - rugged_std_average);
+        }
+    }
+    
+    model {
+        // Prioris
+        
+        alpha ~ normal(1, 0.1);
+        beta ~ normal(0, 0.3);
+        sigma ~ exponential(1);
+        
+        // Likelihood
+        log_gdp_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] log_gdp_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);
+            log_gdp_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(ddf),
+    'log_gdp_std': ddf['log_gdp_std'].values,
+    'rugged_std': ddf['rugged_std'].values,
+    'rugged_std_average': ddf['rugged_std'].mean(),
+    'cid': ddf['cid'].values,
+}
+
+posteriori = stan.build(model3, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    stan_data3 = az.from_pystan(
+    posterior=samples,
+    posterior_predictive="log_gdp_std_hat",
+    observed_data=['log_gdp_std'],
+    prior=samples,
+    prior_model=posteriori,
+    posterior_model=posteriori,
+    dims={
+        "alpha": ["africa"],
+    },
+)
+
    +
    +
    +
    +
    +
    +

    R Code 8.9

    +
    +
    +
    models_8 = { 'm8.1': stan_data2, 'm8.2': stan_data3 }
+
+az.compare(models_8, ic='waic')
+
    +
    +
    +
    +
    /home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/arviz/stats/stats.py:1645: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. 
+See http://arxiv.org/abs/1507.04544 for details
+  warnings.warn(
+
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    rankelpd_waicp_waicelpd_diffweightsedsewarningscale
    m8.20126.1661244.1172610.0000000.9692567.3966440.000000Truelog
    m8.1194.4993992.49168031.6667250.0307446.4639567.317875Falselog
    +
    +
    +
    +
    +

    R Code 8.10

    +
    +
    +
    az.summary(stan_data3, var_names=['alpha', 'beta', 'sigma'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]0.8800.0160.8510.9110.0000.0004512.03483.01.0
    alpha[1]1.0490.0101.0311.0690.0000.0004305.02642.01.0
    beta-0.0460.047-0.1300.0480.0010.0013508.02517.01.0
    sigma0.1140.0060.1030.1260.0000.0003742.03076.01.0
    +
    +
    +
    +
    +

    R Code 8.11

    +
    +
    +
    stan_data3
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * africa    (africa) int64 0 1
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 ... 163 164 165 166 167 168 169
+Data variables:
+    alpha     (chain, draw, africa) float64 0.8731 1.052 0.8843 ... 0.8777 1.072
+    beta      (chain, draw) float64 -0.04755 -0.02791 ... -0.07995 0.03227
+    sigma     (chain, draw) float64 0.1152 0.1109 0.11 ... 0.1056 0.1162 0.1162
+    mu        (chain, draw, mu_dim_0) float64 0.8768 1.036 ... 0.8736 0.877
+Attributes:
+    created_at:                 2023-08-11T18:56:27.122181
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/22jq2cue
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 0.746...
+Attributes:
+    created_at:                 2023-08-11T18:56:27.276036
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 170)
+Coordinates:
+  * chain          (chain) int64 0 1 2 3
+  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 ... 164 165 166 167 168 169
+Data variables:
+    log_lik        (chain, draw, log_lik_dim_0) float64 1.242 1.051 ... 1.169
+Attributes:
+    created_at:                 2023-08-11T18:56:27.225035
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9829 0.9857 0.9661 ... 0.7619 1.0
+    step_size        (chain, draw) float64 0.7249 0.7249 ... 0.7518 0.7518
+    tree_depth       (chain, draw) int64 3 3 2 2 3 2 3 2 3 ... 3 2 3 2 3 3 3 3 3
+    n_steps          (chain, draw) int64 7 7 3 7 7 3 7 3 7 ... 7 3 7 3 7 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -281.1 -282.8 ... -274.9 -275.5
+    lp               (chain, draw) float64 283.2 283.2 282.8 ... 278.0 279.2
+Attributes:
+    created_at:                 2023-08-11T18:56:27.172412
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/22jq2cue
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170,
+                            log_lik_dim_0: 170, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * africa                 (africa) int64 0 1
+  * mu_dim_0               (mu_dim_0) int64 0 1 2 3 4 5 ... 165 166 167 168 169
+  * log_lik_dim_0          (log_lik_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    alpha                  (chain, draw, africa) float64 0.8731 1.052 ... 1.072
+    beta                   (chain, draw) float64 -0.04755 -0.02791 ... 0.03227
+    sigma                  (chain, draw) float64 0.1152 0.1109 ... 0.1162 0.1162
+    mu                     (chain, draw, mu_dim_0) float64 0.8768 ... 0.877
+    log_lik                (chain, draw, log_lik_dim_0) float64 1.242 ... 1.169
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 0.746...
+Attributes:
+    created_at:                 2023-08-11T18:56:27.342979
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/22jq2cue
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    lp               (chain, draw) float64 283.2 283.2 282.8 ... 278.0 279.2
+    acceptance_rate  (chain, draw) float64 0.9829 0.9857 0.9661 ... 0.7619 1.0
+    step_size        (chain, draw) float64 0.7249 0.7249 ... 0.7518 0.7518
+    tree_depth       (chain, draw) int64 3 3 2 2 3 2 3 2 3 ... 3 2 3 2 3 3 3 3 3
+    n_steps          (chain, draw) int64 7 7 3 7 7 3 7 3 7 ... 7 3 7 3 7 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -281.1 -282.8 ... -274.9 -275.5
+Attributes:
+    created_at:                 2023-08-11T18:56:27.392039
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/22jq2cue
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:            (log_gdp_std_dim_0: 170)
+Coordinates:
+  * log_gdp_std_dim_0  (log_gdp_std_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+Data variables:
+    log_gdp_std        (log_gdp_std_dim_0) float64 0.8797 0.9648 ... 0.9186
+Attributes:
+    created_at:                 2023-08-11T18:56:27.082048
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    alpha_a1 = stan_data3.posterior.alpha.sel(africa=0)
+alpha_a2 = stan_data3.posterior.alpha.sel(africa=1)
+
+diff_alpha_a1_a2 = az.extract(alpha_a1 - alpha_a2).alpha.values
+
+az.hdi(diff_alpha_a1_a2, hdi_prob=0.89)
+
    +
    +
    +
    +
    array([-0.19925646, -0.13838364])
+
    +
    +
    +
    +
    +
    +

    R Code 8.12

    +
    +
    +
    # Extract 200 samples from arviz-fit to numpy
+params_post = az.extract(stan_data3.posterior, num_samples=200)
+
    +
    +
    +
    +
    +
    +
    rugged_seq = np.linspace(0, 1, 30)
+
+log_gdp_mean_africa = []
+log_gdp_hdi_africa = []
+
+log_gdp_mean_not_africa = []
+log_gdp_hdi_not_africa = []
+
+# Calculation posterior mean and interval HDI
+for i in range(len(rugged_seq)):
+        log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.values * rugged_seq[i]
+        log_gdp_mean_africa.append(np.mean(log_gdp_africa.values))
+        log_gdp_hdi_africa.append(az.hdi(log_gdp_africa.values, hdi_prob=0.89))
+        
+        log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.values * rugged_seq[i]
+        log_gdp_mean_not_africa.append(np.mean(log_gdp_not_africa.values))
+        log_gdp_hdi_not_africa.append(az.hdi(log_gdp_not_africa.values, hdi_prob=0.89))
+        
+log_gdp_hdi_africa = np.array(log_gdp_hdi_africa)
+log_gdp_hdi_not_africa = np.array(log_gdp_hdi_not_africa) 
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 8))
+
+plt.plot(rugged_seq, log_gdp_mean_africa, c='blue')
+plt.fill_between(rugged_seq, log_gdp_hdi_africa[:,0], log_gdp_hdi_africa[:,1], color='blue', alpha=0.3)
+
+plt.plot(rugged_seq, log_gdp_mean_not_africa, c='black')
+plt.fill_between(rugged_seq, log_gdp_hdi_not_africa[:,0], log_gdp_hdi_not_africa[:,1], color='darkgray', alpha=0.3)
+
+plt.plot(ddf.loc[ddf.cid == 1,'rugged_std'], ddf.loc[ddf.cid==1, 'log_gdp_std'], 'o', markerfacecolor='blue', color='gray')
+plt.plot(ddf.loc[ddf.cid == 2,'rugged_std'], ddf.loc[ddf.cid==2, 'log_gdp_std'], 'o', markerfacecolor='none', color='black')
+
+plt.title('m8.4')
+plt.xlabel('ruggedness (standardized)')
+plt.ylabel('log GDP (as proportion of mean)')
+
+plt.text(0.8, 1.04, 'Not Africa', fontsize='x-large', color='black')
+plt.text(0.8, 0.86, 'Africa',  fontsize='x-large', color='darkblue')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_8_41_0.png +
    +
    +
    +
    +

    R Code 8.13

    +
    +
    +
    model4 = """
+    data {
+        int N;
+        vector[N] log_gdp_std;
+        vector[N] rugged_std;
+        array[N] int cid;  // Must be integer because this is index to alpha.
+        real rugged_std_average;
+    }
+    
+    parameters {
+        real alpha[2];  //Can be used to real alpha[2] or array[2] int alpha;
+        real beta[2];
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        for (i in 1:N){
+            mu[i] = alpha[ cid[i] ] + beta[ cid[i] ] * (rugged_std[i] - rugged_std_average);
+        }
+    }
+    
+    model {
+        // Prioris
+        
+        alpha ~ normal(1, 0.1);
+        beta ~ normal(0, 0.3);
+        sigma ~ exponential(1);
+        
+        // Likelihood
+        log_gdp_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] log_gdp_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(log_gdp_std[i] | mu[i], sigma);
+            log_gdp_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(ddf),
+    'log_gdp_std': ddf['log_gdp_std'].values,
+    'rugged_std': ddf['rugged_std'].values,
+    'rugged_std_average': ddf['rugged_std'].mean(),
+    'cid': ddf['cid'].values,
+}
+
+posteriori = stan.build(model4, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    stan_data4 = az.from_pystan(
+    posterior=samples,
+    posterior_predictive="log_gdp_std_hat",
+    observed_data=['log_gdp_std'],
+    prior=samples,
+    prior_model=posteriori,
+    posterior_model=posteriori,
+    dims={
+        "alpha": ["africa"],
+        "beta": ["africa"],
+    },
+)
+
    +
    +
    +
    +
    +
    +

    R Code 8.14

    +
    +
    +
    az.summary(stan_data4, var_names=['alpha', 'beta', 'sigma'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha[0]0.8870.0160.8580.9160.0000.0005156.02914.01.0
    alpha[1]1.0510.0101.0331.0710.0000.0005063.03095.01.0
    beta[0]0.1310.075-0.0060.2700.0010.0014710.03386.01.0
    beta[1]-0.1430.056-0.247-0.0360.0010.0014727.03117.01.0
    sigma0.1120.0060.1000.1230.0000.0005069.03262.01.0
    +
    +
    +
    +
    +

    R Code 8.15

    +
    +
    +
    models_8 = { 'm8.1': stan_data2, 'm8.2': stan_data3, 'm8.3': stan_data4 }
+
+# https://python.arviz.org/en/stable/api/generated/arviz.compare.html
+# https://rss.onlinelibrary.wiley.com/doi/10.1111/1467-9868.00353
+az.compare(models_8, ic='loo')  # loo is same that PSIS
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    rankelpd_loop_looelpd_diffweightsedsewarningscale
    m8.30129.5892774.9894990.0000000.8707937.3096930.000000Falselog
    m8.21126.1374954.1458903.4517830.1292077.4053393.225278Falselog
    m8.1294.4924632.49861635.0968140.0000006.4644477.448111Falselog
    +
    +
    +
    +
    +

    R Code 8.16

    +
    +
    +
    az.loo(stan_data4, pointwise=True)
+
    +
    +
    +
    +
    Computed from 4000 posterior samples and 170 observations log-likelihood matrix.
+
+         Estimate       SE
+elpd_loo   129.59     7.31
+p_loo        4.99        -
+------
+
+Pareto k diagnostic values:
+                         Count   Pct.
+(-Inf, 0.5]   (good)      169   99.4%
+ (0.5, 0.7]   (ok)          1    0.6%
+   (0.7, 1]   (bad)         0    0.0%
+   (1, Inf)   (very bad)    0    0.0%
+
    +
    +
    +
    +
    +
    +
    stan_data4
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * africa    (africa) int64 0 1
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 ... 163 164 165 166 167 168 169
+Data variables:
+    alpha     (chain, draw, africa) float64 0.88 1.051 0.8771 ... 0.876 1.022
+    beta      (chain, draw, africa) float64 0.2193 -0.1387 ... 0.1464 -0.1622
+    sigma     (chain, draw) float64 0.1212 0.131 0.1102 ... 0.1118 0.1209 0.1094
+    mu        (chain, draw, mu_dim_0) float64 0.8632 1.004 ... 0.8572 0.8728
+Attributes:
+    created_at:                 2023-08-11T18:56:30.413832
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/5jmion4o
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 0.913...
+Attributes:
+    created_at:                 2023-08-11T18:56:30.571354
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 170)
+Coordinates:
+  * chain          (chain) int64 0 1 2 3
+  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 ... 164 165 166 167 168 169
+Data variables:
+    log_lik        (chain, draw, log_lik_dim_0) float64 1.182 1.139 ... 1.206
+Attributes:
+    created_at:                 2023-08-11T18:56:30.520437
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9562 0.7774 ... 0.9232 0.8468
+    step_size        (chain, draw) float64 0.7482 0.7482 ... 0.6294 0.6294
+    tree_depth       (chain, draw) int64 2 3 3 3 2 3 3 3 2 ... 3 3 2 3 3 3 3 2 3
+    n_steps          (chain, draw) int64 3 7 7 7 3 7 7 7 3 ... 7 7 7 7 7 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -280.2 -279.4 ... -284.5 -279.4
+    lp               (chain, draw) float64 285.4 280.7 282.5 ... 285.7 283.1
+Attributes:
+    created_at:                 2023-08-11T18:56:30.463167
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/5jmion4o
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:                (chain: 4, draw: 1000, africa: 2, mu_dim_0: 170,
+                            log_lik_dim_0: 170, log_gdp_std_hat_dim_0: 170)
+Coordinates:
+  * chain                  (chain) int64 0 1 2 3
+  * draw                   (draw) int64 0 1 2 3 4 5 ... 994 995 996 997 998 999
+  * africa                 (africa) int64 0 1
+  * mu_dim_0               (mu_dim_0) int64 0 1 2 3 4 5 ... 165 166 167 168 169
+  * log_lik_dim_0          (log_lik_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+  * log_gdp_std_hat_dim_0  (log_gdp_std_hat_dim_0) int64 0 1 2 3 ... 167 168 169
+Data variables:
+    alpha                  (chain, draw, africa) float64 0.88 1.051 ... 1.022
+    beta                   (chain, draw, africa) float64 0.2193 ... -0.1622
+    sigma                  (chain, draw) float64 0.1212 0.131 ... 0.1209 0.1094
+    mu                     (chain, draw, mu_dim_0) float64 0.8632 ... 0.8728
+    log_lik                (chain, draw, log_lik_dim_0) float64 1.182 ... 1.206
+    log_gdp_std_hat        (chain, draw, log_gdp_std_hat_dim_0) float64 0.913...
+Attributes:
+    created_at:                 2023-08-11T18:56:30.647322
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/5jmion4o
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    lp               (chain, draw) float64 285.4 280.7 282.5 ... 285.7 283.1
+    acceptance_rate  (chain, draw) float64 0.9562 0.7774 ... 0.9232 0.8468
+    step_size        (chain, draw) float64 0.7482 0.7482 ... 0.6294 0.6294
+    tree_depth       (chain, draw) int64 2 3 3 3 2 3 3 3 2 ... 3 3 2 3 3 3 3 2 3
+    n_steps          (chain, draw) int64 3 7 7 7 3 7 7 7 3 ... 7 7 7 7 7 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -280.2 -279.4 ... -284.5 -279.4
+Attributes:
+    created_at:                 2023-08-11T18:56:30.696630
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/5jmion4o
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:            (log_gdp_std_dim_0: 170)
+Coordinates:
+  * log_gdp_std_dim_0  (log_gdp_std_dim_0) int64 0 1 2 3 4 ... 166 167 168 169
+Data variables:
+    log_gdp_std        (log_gdp_std_dim_0) float64 0.8797 0.9648 ... 0.9186
+Attributes:
+    created_at:                 2023-08-11T18:56:30.365835
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +

    R Code 8.16 - XXX

    +
    +
    +
    # az.plot_loo_pit(stan_data4, y='log_gdp_std')
+
    +
    +
    +
    +
    +
    +

    R Code 8.17

    +
    +
    +
    # Extract 200 samples from arviz-fit to numpy
+params_post = az.extract(stan_data4.posterior, num_samples=200)
+
    +
    +
    +
    +
    +
    +
    rugged_seq = np.linspace(0, 1, 30)
+
+log_gdp_mean_africa = []
+log_gdp_hdi_africa = []
+
+log_gdp_mean_not_africa = []
+log_gdp_hdi_not_africa = []
+
+# Calculation posterior mean and interval HDI
+for i in range(len(rugged_seq)):
+        log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.sel(africa=0).values * rugged_seq[i]
+        log_gdp_mean_africa.append(np.mean(log_gdp_africa.values))
+        log_gdp_hdi_africa.append(az.hdi(log_gdp_africa.values, hdi_prob=0.89))
+        
+        log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.sel(africa=1).values * rugged_seq[i]
+        log_gdp_mean_not_africa.append(np.mean(log_gdp_not_africa.values))
+        log_gdp_hdi_not_africa.append(az.hdi(log_gdp_not_africa.values, hdi_prob=0.89))
+        
+log_gdp_hdi_africa = np.array(log_gdp_hdi_africa)
+log_gdp_hdi_not_africa = np.array(log_gdp_hdi_not_africa)
+
    +
    +
    +
    +
    +
    +
    fig = plt.figure(figsize=(17, 8))
+
+gs = GridSpec(1, 2)
+
+# Africa plots
+ax_africa = fig.add_subplot(gs[0])
+
+ax_africa.plot(rugged_seq, log_gdp_mean_africa, c='blue')
+ax_africa.fill_between(rugged_seq, log_gdp_hdi_africa[:,0], log_gdp_hdi_africa[:,1], color='blue', alpha=0.3)
+ax_africa.plot(ddf.loc[ddf.cid == 1,'rugged_std'], ddf.loc[ddf.cid==1, 'log_gdp_std'], 'o', markerfacecolor='blue', color='gray')
+
+ax_africa.set_title('African Nations')
+ax_africa.set_xlabel('ruggedness (standardized)')
+ax_africa.set_ylabel('log GDP (as proportion of mean)')
+ax_africa.text(0.7, 0.8, 'Africa',  fontsize='xx-large', color='darkblue')
+
+
+# Non africa plots
+ax_not_africa = fig.add_subplot(gs[1])
+
+ax_not_africa.plot(rugged_seq, log_gdp_mean_not_africa, c='black')
+ax_not_africa.fill_between(rugged_seq, log_gdp_hdi_not_africa[:,0], log_gdp_hdi_not_africa[:,1], color='darkgray', alpha=0.3)
+ax_not_africa.plot(ddf.loc[ddf.cid == 2,'rugged_std'], ddf.loc[ddf.cid==2, 'log_gdp_std'], 'o', markerfacecolor='none', color='black')
+
+ax_not_africa.set_title('Non-African Nations')
+ax_not_africa.set_xlabel('ruggedness (standardized)')
+ax_not_africa.set_ylabel('log GDP (as proportion of mean)')
+ax_not_africa.text(0.7, 1.1, 'Not Africa', fontsize='xx-large', color='black')
+
+
+plt.show()
+
    +
    +
    +
    +_images/parte_8_57_0.png +
    +
    +
    +
    +

    R Code 8.18

    +
    +
    +
    log_gdp_delta_mean = []
+log_gdp_delta_hdi = []
+
+# Calculation posterior mean and interval HDI
+for i in range(len(rugged_seq)):
+        log_gdp_africa = params_post.alpha.sel(africa=0) + params_post.beta.sel(africa=0).values * rugged_seq[i]
+        log_gdp_not_africa = params_post.alpha.sel(africa=1) + params_post.beta.sel(africa=1).values * rugged_seq[i]
+        
+        log_gdp_delta = log_gdp_africa - log_gdp_not_africa
+
+        log_gdp_delta_mean.append(np.mean(log_gdp_delta.values))
+        log_gdp_delta_hdi.append(az.hdi(log_gdp_delta.values, hdi_prob=0.89))
+        
+log_gdp_delta_hdi = np.array(log_gdp_delta_hdi)
+
    +
    +
    +
    +
    +
    +
    fig = plt.figure(figsize=(17, 8))
+
+gs = GridSpec(1, 1)
+
+# Africa delta log GDP plots
+ax_delta = fig.add_subplot(gs[0])
+
+ax_delta.plot(rugged_seq, log_gdp_delta_mean, c='black')
+ax_delta.fill_between(rugged_seq, log_gdp_delta_hdi[:,0], log_gdp_delta_hdi[:,1], color='blue', alpha=0.3)
+
+ax_delta.set_title('Delta log GDP')
+ax_delta.set_xlabel('ruggedness (standardized)')
+ax_delta.set_ylabel('expected difference log GDP')
+
+ax_delta.text(0.0, 0.02, 'Africa higher GDP',  fontsize='xx-large', color='darkblue')
+ax_delta.text(0.0, -0.03, 'Africa lower GDP',  fontsize='xx-large', color='darkblue')
+ax_delta.axhline(y=0, ls='--', color='black')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_8_60_0.png +
    +
    +
    +
    +

    R Code 8.19

    +
    +
    +
    df = pd.read_csv('./data/tulips.csv', sep=';',
+                 dtype={
+                     'bed': 'category',  # cluster of plants from same section of the greenhouse
+                     'water': 'float',  # Predictor: Soil moisture - (1) low and (3) high 
+                     'shade': 'float',  # Predictor: Light exposure - (1) high and (3) low
+                     'blooms': 'float',  # What we wish to predict
+                 })
+df.tail()
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    bedwatershadeblooms
    22c2.02.0135.92
    23c2.03.090.66
    24c3.01.0304.52
    25c3.02.0249.33
    26c3.03.0134.59
    +
    +
    +
    +
    +
    df.describe(include='category')
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + +
    bed
    count27
    unique3
    topa
    freq9
    +
    +
    +
    +
    +
    df.describe().T
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    countmeanstdmin25%50%75%max
    water27.02.0000000.8320501.01.0002.003.03.00
    shade27.02.0000000.8320501.01.0002.003.03.00
    blooms27.0128.99370492.6839230.071.115111.04190.3361.66
    +
    +
    +
    +
    +

    R Code 8.20

    +
    +
    +
    df['blooms_std'] = df['blooms'] / df['blooms'].max()
+df['water_cent'] = df['water'] - df['water'].mean()
+df['shade_cent'] = df['shade'] - df['shade'].mean()
+
    +
    +
    +
    +
    +
    +

    R Code 8.21

    +
    +\[ \alpha \sim Normal(0.5, 1) \]
    +
    +
    +
    alpha = np.random.normal(0.5, 1, 1000)
+
+alphas_true = np.any([alpha < 0, alpha > 1], axis=0)  # If (alpha < 0) or (alpha > 1) then True else False
+
+np.sum(alphas_true) / len(alpha)
+
    +
    +
    +
    +
    0.628
+
    +
    +
    +
    +
    +
    +

    R Code 8.22

    +
    +\[ \alpha \sim Normal(0.5, 0.25) \]
    +
    +
    +
    alpha = np.random.normal(0.5, 0.25, 1000)
+
+alphas_true = np.any([alpha < 0, alpha > 1], axis=0)  # If (alpha < 0) or (alpha > 1) then True else False
+
+np.sum(alphas_true) / len(alpha)
+
    +
    +
    +
    +
    0.053
+
    +
    +
    +
    +
    +
    +

    R Code 8.23

    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] blooms_std;
+        vector[N] water_cent;
+        vector[N] shade_cent;
+    }
+    
+    parameters {
+        real alpha;
+        real beta_w;
+        real beta_s;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta_w * water_cent + beta_s * shade_cent;
+    }
+    
+    model {
+        // Priori
+        
+        alpha ~ normal(0.5, 0.25);
+        beta_w ~ normal(0, 0.25);
+        beta_s ~ normal(0, 0.25);
+        sigma ~ exponential(1);
+        
+        blooms_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] blooms_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(blooms_std[i] | mu[i], sigma);
+            blooms_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(df),
+    'blooms_std': df.blooms_std.values,   
+    'water_cent': df.water_cent.values,
+    'shade_cent': df.shade_cent.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    stan_blooms = az.from_pystan(
+    prior_model=posteriori,
+    prior=samples,
+    posterior_model=posteriori,
+    posterior=samples,
+    posterior_predictive="blooms_std_hat",
+    observed_data=['blooms_std', 'water_cent', 'shade_cent'],
+)
+
+stan_blooms
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 27)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 18 19 20 21 22 23 24 25 26
+Data variables:
+    alpha     (chain, draw) float64 0.3615 0.3282 0.3282 ... 0.3661 0.3922 0.34
+    beta_w    (chain, draw) float64 0.2235 0.2231 0.2231 ... 0.2044 0.2055
+    beta_s    (chain, draw) float64 -0.08126 -0.07431 ... -0.1841 -0.04058
+    sigma     (chain, draw) float64 0.1818 0.1567 0.1567 ... 0.1719 0.1567
+    mu        (chain, draw, mu_dim_0) float64 0.2193 0.1381 ... 0.5455 0.505
+Attributes:
+    created_at:                 2023-08-11T18:56:33.510826
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/elkgjo5c
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:               (chain: 4, draw: 1000, blooms_std_hat_dim_0: 27)
+Coordinates:
+  * chain                 (chain) int64 0 1 2 3
+  * draw                  (draw) int64 0 1 2 3 4 5 6 ... 994 995 996 997 998 999
+  * blooms_std_hat_dim_0  (blooms_std_hat_dim_0) int64 0 1 2 3 4 ... 23 24 25 26
+Data variables:
+    blooms_std_hat        (chain, draw, blooms_std_hat_dim_0) float64 0.1343 ...
+Attributes:
+    created_at:                 2023-08-11T18:56:33.654050
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 27)
+Coordinates:
+  * chain          (chain) int64 0 1 2 3
+  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 6 ... 20 21 22 23 24 25 26
+Data variables:
+    log_lik        (chain, draw, log_lik_dim_0) float64 0.05831 ... 0.5753
+Attributes:
+    created_at:                 2023-08-11T18:56:33.609401
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9282 0.9287 ... 0.8313 0.9974
+    step_size        (chain, draw) float64 0.804 0.804 0.804 ... 0.6157 0.6157
+    tree_depth       (chain, draw) int64 2 2 2 3 2 1 3 3 2 ... 2 2 3 3 2 2 3 3 3
+    n_steps          (chain, draw) int64 3 3 3 7 3 3 7 7 3 ... 7 7 7 7 3 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -32.69 -31.76 -25.78 ... -28.81 -30.5
+    lp               (chain, draw) float64 32.9 32.41 32.41 ... 31.39 31.47
+Attributes:
+    created_at:                 2023-08-11T18:56:33.561609
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/elkgjo5c
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:               (chain: 4, draw: 1000, mu_dim_0: 27,
+                           log_lik_dim_0: 27, blooms_std_hat_dim_0: 27)
+Coordinates:
+  * chain                 (chain) int64 0 1 2 3
+  * draw                  (draw) int64 0 1 2 3 4 5 6 ... 994 995 996 997 998 999
+  * mu_dim_0              (mu_dim_0) int64 0 1 2 3 4 5 6 ... 21 22 23 24 25 26
+  * log_lik_dim_0         (log_lik_dim_0) int64 0 1 2 3 4 5 ... 22 23 24 25 26
+  * blooms_std_hat_dim_0  (blooms_std_hat_dim_0) int64 0 1 2 3 4 ... 23 24 25 26
+Data variables:
+    alpha                 (chain, draw) float64 0.3615 0.3282 ... 0.3922 0.34
+    beta_w                (chain, draw) float64 0.2235 0.2231 ... 0.2044 0.2055
+    beta_s                (chain, draw) float64 -0.08126 -0.07431 ... -0.04058
+    sigma                 (chain, draw) float64 0.1818 0.1567 ... 0.1719 0.1567
+    mu                    (chain, draw, mu_dim_0) float64 0.2193 ... 0.505
+    log_lik               (chain, draw, log_lik_dim_0) float64 0.05831 ... 0....
+    blooms_std_hat        (chain, draw, blooms_std_hat_dim_0) float64 0.1343 ...
+Attributes:
+    created_at:                 2023-08-11T18:56:33.701908
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/elkgjo5c
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    lp               (chain, draw) float64 32.9 32.41 32.41 ... 31.39 31.47
+    acceptance_rate  (chain, draw) float64 0.9282 0.9287 ... 0.8313 0.9974
+    step_size        (chain, draw) float64 0.804 0.804 0.804 ... 0.6157 0.6157
+    tree_depth       (chain, draw) int64 2 2 2 3 2 1 3 3 2 ... 2 2 3 3 2 2 3 3 3
+    n_steps          (chain, draw) int64 3 3 3 7 3 3 7 7 3 ... 7 7 7 7 3 7 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -32.69 -31.76 -25.78 ... -28.81 -30.5
+Attributes:
+    created_at:                 2023-08-11T18:56:33.750637
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/elkgjo5c
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:           (blooms_std_dim_0: 27, water_cent_dim_0: 27,
+                       shade_cent_dim_0: 27)
+Coordinates:
+  * blooms_std_dim_0  (blooms_std_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+  * water_cent_dim_0  (water_cent_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+  * shade_cent_dim_0  (shade_cent_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+Data variables:
+    blooms_std        (blooms_std_dim_0) float64 0.0 0.0 0.307 ... 0.6894 0.3721
+    water_cent        (water_cent_dim_0) float64 -1.0 -1.0 -1.0 ... 1.0 1.0 1.0
+    shade_cent        (shade_cent_dim_0) float64 -1.0 0.0 1.0 ... -1.0 0.0 1.0
+Attributes:
+    created_at:                 2023-08-11T18:56:33.478728
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    az.summary(stan_blooms, var_names=['alpha', 'beta_w', 'beta_s'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha0.3590.0340.2980.4290.0010.03857.02579.01.0
    beta_w0.2030.0410.1260.2790.0010.04353.03032.01.0
    beta_s-0.1120.041-0.188-0.0360.0010.04151.02524.01.0
    +
    +
    +
    +
    +

    R Code 8.24

    +
    +\[ B_i \sim Normal(\mu_i, \sigma) \]
    +
    +\[ \mu_i = \alpha + \beta_W W_i + \beta_S S_i + \beta_{WS} S_i W_i \]
    +
    +
    +
    model = """
+    data {
+        int N;
+        vector[N] blooms_std;
+        vector[N] water_cent;
+        vector[N] shade_cent;
+    }
+    
+    parameters {
+        real alpha;
+        real beta_w;
+        real beta_s;
+        real beta_ws;
+        real<lower=0> sigma;
+    }
+    
+    transformed parameters {
+        vector[N] mu;
+        
+        mu = alpha + beta_w * water_cent + beta_s * shade_cent + beta_ws * water_cent .* shade_cent;
+    }
+    
+    model {
+        // Priori
+        
+        alpha ~ normal(0.5, 0.25);
+        beta_w ~ normal(0, 0.25);
+        beta_s ~ normal(0, 0.25);
+        beta_ws ~ normal(0, 0.25);
+        sigma ~ exponential(1);
+        
+        blooms_std ~ normal(mu, sigma);
+    }
+    
+    generated quantities {
+        vector[N] log_lik;
+        vector[N] blooms_std_hat;
+        
+        for(i in 1:N){
+            log_lik[i] = normal_lpdf(blooms_std[i] | mu[i], sigma);
+            blooms_std_hat[i] = normal_rng(mu[i], sigma);
+        }
+    }
+"""
+
+data = {
+    'N': len(df),
+    'blooms_std': df.blooms_std.values,   
+    'water_cent': df.water_cent.values,
+    'shade_cent': df.shade_cent.values,
+}
+
+posteriori = stan.build(model, data=data)
+samples = posteriori.sample(num_chains=4, num_samples=1000)
+
    +
    +
    +
    +
    +
    +
    stan_blooms_interaction = az.from_pystan(
+    prior_model=posteriori,
+    prior=samples,
+    posterior_model=posteriori,
+    posterior=samples,
+    posterior_predictive="blooms_std_hat",
+    observed_data=['blooms_std', 'water_cent', 'shade_cent'],
+)
+
+stan_blooms_interaction
+
    +
    +
    +
    +
    +
    +
    +
    arviz.InferenceData
    +
    +
      + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:   (chain: 4, draw: 1000, mu_dim_0: 27)
+Coordinates:
+  * chain     (chain) int64 0 1 2 3
+  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 992 993 994 995 996 997 998 999
+  * mu_dim_0  (mu_dim_0) int64 0 1 2 3 4 5 6 7 8 ... 18 19 20 21 22 23 24 25 26
+Data variables:
+    alpha     (chain, draw) float64 0.3674 0.3462 0.354 ... 0.3529 0.3582 0.3258
+    beta_w    (chain, draw) float64 0.2106 0.2189 0.1748 ... 0.2551 0.2051
+    beta_s    (chain, draw) float64 -0.1585 -0.1735 ... -0.1014 -0.06658
+    beta_ws   (chain, draw) float64 -0.2024 -0.1429 -0.1649 ... -0.08582 -0.1958
+    sigma     (chain, draw) float64 0.1466 0.1574 0.1383 ... 0.1805 0.1231
+    mu        (chain, draw, mu_dim_0) float64 0.1129 0.1568 ... 0.5309 0.2686
+Attributes:
+    created_at:                 2023-08-11T18:56:34.758903
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/2akx274x
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:               (chain: 4, draw: 1000, blooms_std_hat_dim_0: 27)
+Coordinates:
+  * chain                 (chain) int64 0 1 2 3
+  * draw                  (draw) int64 0 1 2 3 4 5 6 ... 994 995 996 997 998 999
+  * blooms_std_hat_dim_0  (blooms_std_hat_dim_0) int64 0 1 2 3 4 ... 23 24 25 26
+Data variables:
+    blooms_std_hat        (chain, draw, blooms_std_hat_dim_0) float64 0.04633...
+Attributes:
+    created_at:                 2023-08-11T18:56:34.902871
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:        (chain: 4, draw: 1000, log_lik_dim_0: 27)
+Coordinates:
+  * chain          (chain) int64 0 1 2 3
+  * draw           (draw) int64 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999
+  * log_lik_dim_0  (log_lik_dim_0) int64 0 1 2 3 4 5 6 ... 20 21 22 23 24 25 26
+Data variables:
+    log_lik        (chain, draw, log_lik_dim_0) float64 0.7045 0.4295 ... 0.8218
+Attributes:
+    created_at:                 2023-08-11T18:56:34.858158
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    acceptance_rate  (chain, draw) float64 0.9824 0.9818 ... 0.9986 0.9993
+    step_size        (chain, draw) float64 0.7264 0.7264 ... 0.6313 0.6313
+    tree_depth       (chain, draw) int64 2 2 3 3 2 2 3 3 2 ... 3 3 2 3 3 2 3 3 3
+    n_steps          (chain, draw) int64 7 3 7 7 3 3 7 7 3 ... 7 7 3 7 7 3 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -36.43 -35.68 ... -32.65 -33.83
+    lp               (chain, draw) float64 37.17 37.08 37.86 ... 35.73 36.25
+Attributes:
+    created_at:                 2023-08-11T18:56:34.810343
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/2akx274x
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:               (chain: 4, draw: 1000, mu_dim_0: 27,
+                           log_lik_dim_0: 27, blooms_std_hat_dim_0: 27)
+Coordinates:
+  * chain                 (chain) int64 0 1 2 3
+  * draw                  (draw) int64 0 1 2 3 4 5 6 ... 994 995 996 997 998 999
+  * mu_dim_0              (mu_dim_0) int64 0 1 2 3 4 5 6 ... 21 22 23 24 25 26
+  * log_lik_dim_0         (log_lik_dim_0) int64 0 1 2 3 4 5 ... 22 23 24 25 26
+  * blooms_std_hat_dim_0  (blooms_std_hat_dim_0) int64 0 1 2 3 4 ... 23 24 25 26
+Data variables:
+    alpha                 (chain, draw) float64 0.3674 0.3462 ... 0.3582 0.3258
+    beta_w                (chain, draw) float64 0.2106 0.2189 ... 0.2551 0.2051
+    beta_s                (chain, draw) float64 -0.1585 -0.1735 ... -0.06658
+    beta_ws               (chain, draw) float64 -0.2024 -0.1429 ... -0.1958
+    sigma                 (chain, draw) float64 0.1466 0.1574 ... 0.1805 0.1231
+    mu                    (chain, draw, mu_dim_0) float64 0.1129 ... 0.2686
+    log_lik               (chain, draw, log_lik_dim_0) float64 0.7045 ... 0.8218
+    blooms_std_hat        (chain, draw, blooms_std_hat_dim_0) float64 0.04633...
+Attributes:
+    created_at:                 2023-08-11T18:56:34.950864
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/2akx274x
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:          (chain: 4, draw: 1000)
+Coordinates:
+  * chain            (chain) int64 0 1 2 3
+  * draw             (draw) int64 0 1 2 3 4 5 6 ... 993 994 995 996 997 998 999
+Data variables:
+    lp               (chain, draw) float64 37.17 37.08 37.86 ... 35.73 36.25
+    acceptance_rate  (chain, draw) float64 0.9824 0.9818 ... 0.9986 0.9993
+    step_size        (chain, draw) float64 0.7264 0.7264 ... 0.6313 0.6313
+    tree_depth       (chain, draw) int64 2 2 3 3 2 2 3 3 2 ... 3 3 2 3 3 2 3 3 3
+    n_steps          (chain, draw) int64 7 3 7 7 3 3 7 7 3 ... 7 7 3 7 7 3 7 7 7
+    diverging        (chain, draw) bool False False False ... False False False
+    energy           (chain, draw) float64 -36.43 -35.68 ... -32.65 -33.83
+Attributes:
+    created_at:                 2023-08-11T18:56:35.000044
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0
+    num_chains:                 4
+    num_samples:                1000
+    num_thin:                   1
+    num_warmup:                 1000
+    save_warmup:                0
+    model_name:                 models/2akx274x
+    program_code:               \n    data {\n        int N;\n        vector[...
+    random_seed:                None

        +
      +
      +
      • + +
    • + + +
      +
      +
        +
        + + + + + + + + + + + + + + +
        <xarray.Dataset>
+Dimensions:           (blooms_std_dim_0: 27, water_cent_dim_0: 27,
+                       shade_cent_dim_0: 27)
+Coordinates:
+  * blooms_std_dim_0  (blooms_std_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+  * water_cent_dim_0  (water_cent_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+  * shade_cent_dim_0  (shade_cent_dim_0) int64 0 1 2 3 4 5 ... 21 22 23 24 25 26
+Data variables:
+    blooms_std        (blooms_std_dim_0) float64 0.0 0.0 0.307 ... 0.6894 0.3721
+    water_cent        (water_cent_dim_0) float64 -1.0 -1.0 -1.0 ... 1.0 1.0 1.0
+    shade_cent        (shade_cent_dim_0) float64 -1.0 0.0 1.0 ... -1.0 0.0 1.0
+Attributes:
+    created_at:                 2023-08-11T18:56:34.723805
+    arviz_version:              0.15.1
+    inference_library:          stan
+    inference_library_version:  3.7.0

        +
      +
      +
      • + +
    +
    +
    +
    +
    +
    +
    az.summary(stan_blooms_interaction, var_names=['alpha', 'beta_w', 'beta_s', 'beta_ws'])
+
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
    alpha0.3580.0290.3010.4110.0000.05629.02730.01.0
    beta_w0.2060.0340.1450.2750.0000.04954.02852.01.0
    beta_s-0.1130.034-0.177-0.0510.0000.05101.03033.01.0
    beta_ws-0.1430.042-0.220-0.0590.0010.05011.03012.01.0
    +
    +
    +
    +
    +

    R Code 8.25

    +
    +
    +
    blooms_post = az.extract(stan_blooms.posterior, num_samples=20)  # get 20 lines
+blooms_post_int = az.extract(stan_blooms_interaction.posterior, num_samples=20)  # get 20 lines
+
    +
    +
    +
    +
    +
    +
    # ================
+# Plot without interactions
+
+water_seq = np.linspace(-1, 1, 30)
+
+fig = plt.figure(figsize=(17, 6))
+
+gs = GridSpec(1, 3)
+
+shade_cent_values = [-1, 0, 1]
+
+ax = [None] * len(shade_cent_values)
+
+for j, shade_plot_aux in enumerate(shade_cent_values):
+    ax[j] = fig.add_subplot(gs[j])
+
+    for i in range(len(blooms_post.alpha)):
+        mu = blooms_post.alpha[i].values + \
+             blooms_post.beta_w[i].values * water_seq + \
+             blooms_post.beta_s[i].values * (shade_plot_aux)
+
+        ax[j].plot(water_seq, mu, c='gray')
+        ax[j].set_ylim(0, 1)
+        ax[j].set_title(f'8.4 post: Shade = ${shade_plot_aux}$')
+        ax[j].set_xlabel('water')
+        ax[j].set_ylabel('blooms')
+        ax[j].set_xticks(shade_cent_values, shade_cent_values)
+        ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])
+
+    ax[j].plot(
+            df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, 
+            df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, 
+            'o', c='blue')
+    
+plt.show()
+
+# ================
+# Plot with interactions
+
+water_seq = np.linspace(-1, 1, 30)
+
+fig = plt.figure(figsize=(17, 6))
+
+gs = GridSpec(1, 3)
+
+shade_cent_values = [-1, 0, 1]
+
+ax = [None] * len(shade_cent_values)
+
+for j, shade_plot_aux in enumerate(shade_cent_values):
+    ax[j] = fig.add_subplot(gs[j])
+
+    for i in range(len(blooms_post_int.alpha)):
+        mu = blooms_post_int.alpha[i].values + \
+             blooms_post_int.beta_w[i].values * water_seq + \
+             blooms_post_int.beta_s[i].values * (shade_plot_aux) + \
+             blooms_post_int.beta_ws[i].values * water_seq * (shade_plot_aux)
+
+        ax[j].plot(water_seq, mu, c='gray')
+        ax[j].set_ylim(0, 1)
+        ax[j].set_title(f'8.5 post: Shade = ${shade_plot_aux}$')
+        ax[j].set_xlabel('water')
+        ax[j].set_ylabel('blooms')
+        ax[j].set_xticks(shade_cent_values, shade_cent_values)
+        ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])
+
+    ax[j].plot(
+            df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, 
+            df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, 
+            'o', c='blue')
+    
+plt.show()
+
    +
    +
    +
    +_images/parte_8_84_0.png +_images/parte_8_84_1.png +
    +
    +
    +
    +

    R Code 8.26

    +
    +
    +
    # ================
+# Plot without interactions
+
+# Prior
+alpha_prior =  np.random.normal(0.5, 0.25, 20)
+beta_w_prior =  np.random.normal(0, 0.25, 20)
+beta_s_prior =  np.random.normal(0, 0.25, 20)
+
+water_seq = np.linspace(-1, 1, 30)
+
+fig = plt.figure(figsize=(17, 6))
+
+gs = GridSpec(1, 3)
+
+shade_cent_values = [-1, 0, 1]
+
+ax = [None] * len(shade_cent_values)
+
+for j, shade_plot_aux in enumerate(shade_cent_values):
+    ax[j] = fig.add_subplot(gs[j])
+
+    for i in range(len(alpha_prior)):
+        mu = alpha_prior[i] + \
+             beta_w_prior[i] * water_seq + \
+             beta_s_prior[i] * (shade_plot_aux)
+
+        ax[j].plot(water_seq, mu, c='gray')
+        ax[j].set_ylim(0, 1)
+        ax[j].set_title(f'8.4 prior: Shade = ${shade_plot_aux}$')
+        ax[j].set_xlabel('water')
+        ax[j].set_ylabel('blooms')
+        ax[j].set_xticks(shade_cent_values, shade_cent_values)
+        ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])
+        ax[j].set_ylim(-1, 2)
+        ax[j].axhline(y=1, ls='--', color='red')
+        ax[j].axhline(y=0, ls='--', color='red')
+
+    ax[j].plot(
+            df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, 
+            df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, 
+            'o', c='blue')
+    
+plt.show()
+
+# ================
+# Plot with interactions
+
+# Prior
+alpha_prior =  np.random.normal(0.5, 0.25, 20)
+beta_w_prior =  np.random.normal(0, 0.25, 20)
+beta_s_prior =  np.random.normal(0, 0.25, 20)
+beta_ws_prior =  np.random.normal(0, 0.25, 20)
+
+water_seq = np.linspace(-1, 1, 30)
+
+fig = plt.figure(figsize=(17, 6))
+
+gs = GridSpec(1, 3)
+
+shade_cent_values = [-1, 0, 1]
+
+ax = [None] * len(shade_cent_values)
+
+for j, shade_plot_aux in enumerate(shade_cent_values):
+    ax[j] = fig.add_subplot(gs[j])
+
+    for i in range(len(alpha_prior)):
+        mu = alpha_prior[i] + \
+             beta_w_prior[i] * water_seq + \
+             beta_s_prior[i] * (shade_plot_aux) + \
+             beta_ws_prior[i] * water_seq * (shade_plot_aux)
+
+        ax[j].plot(water_seq, mu, c='gray')
+        ax[j].set_ylim(0, 1)
+        ax[j].set_title(f'8.5 post: Shade = ${shade_plot_aux}$')
+        ax[j].set_xlabel('water')
+        ax[j].set_ylabel('blooms')
+        ax[j].set_xticks(shade_cent_values, shade_cent_values)
+        ax[j].set_yticks([0, 0.5, 1.0], [0, 0.5, 1])
+        ax[j].set_ylim(-1, 2)
+        ax[j].axhline(y=1, ls='--', color='red')
+        ax[j].axhline(y=0, ls='--', color='red')
+
+    ax[j].plot(
+            df.loc[df['shade_cent'] == shade_plot_aux,'water_cent'].values, 
+            df.loc[df['shade_cent'] == shade_plot_aux,'blooms_std'].values, 
+            'o', c='blue')
+    
+plt.show()
+
    +
    +
    +
    +_images/parte_8_86_0.png +_images/parte_8_86_1.png +
    +
    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    7 - Compasso de Ulisses

    +
    +     + +
    +

    next

    +

    9 - Markov Chain Monte Carlo

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/parte_9.html b/parte_9.html new file mode 100644 index 0000000..52bab97 --- /dev/null +++ b/parte_9.html @@ -0,0 +1,654 @@ + + + + + + + + 9 - Markov Chain Monte Carlo — Statistical Rethinking + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + + +
    + +
    +
    +
    +
    + + + + +
    + + +
    + + + + + + +
    +
    + + + +
    + +
    + + + +
    +
    + + + + + + + +
    + +
    + + + + + + +
    +
    + +
    + + +
    + +
    + Contents +
    + +
    +
    +
    +
    +
    + +
    + +
    +

    9 - Markov Chain Monte Carlo

    +
    +
    +
    import numpy as np
+
+from scipy import stats
+
+import matplotlib.pyplot as plt
+from matplotlib.gridspec import GridSpec
+
+import pandas as pd
+
+import networkx as nx
+# from causalgraphicalmodels import CausalGraphicalModel
+
+import arviz as az
+# ArviZ ships with style sheets!
+# https://python.arviz.org/en/stable/examples/styles.html#example-styles
+az.style.use("arviz-darkgrid")
+
+import xarray as xr
+
+import stan
+import nest_asyncio
+
+plt.style.use('default')
+plt.rcParams['axes.facecolor'] = 'lightgray'
+
+# To DAG's
+import daft
+from causalgraphicalmodels import CausalGraphicalModel
+
    +
    +
    +
    +
    +
    +
    # Add fonts to matplotlib to run xkcd
+
+from matplotlib import font_manager
+
+font_dirs = ["fonts/"]  # The path to the custom font file.
+font_files = font_manager.findSystemFonts(fontpaths=font_dirs)
+
+for font_file in font_files:
+    font_manager.fontManager.addfont(font_file)
+
    +
    +
    +
    +
    +
    +
    # To make plots like drawing 
+# plt.xkcd()
+
    +
    +
    +
    +
    +
    +
    # To running the stan in jupyter notebook
+nest_asyncio.apply()
+
    +
    +
    +
    +
    +

    R Code 9.1

    +
    +
    +
    num_weeks = 10000
+
+positions = np.zeros(num_weeks, dtype=int)
+
+current = 10
+
+for i in range(num_weeks):
+    # Record current position
+    positions[i] = current
+    
+    # F/lip coin to generate proposal
+    proposal = current + np.random.choice([-1, 1], size=1)
+    
+    # Now make sure he loops around the archipelago
+    if proposal < 1: 
+        proposal = 10
+    
+    if proposal > 10:
+        proposal = 1
+    
+    # Move?
+    prob_move = proposal / current
+    
+    if np.random.uniform(0, 1) < prob_move:
+        current = proposal
+    else:
+        current = current
+
    +
    +
    +
    +
    +
    +

    R Code 8.2

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.plot(np.arange(0, 100, dtype=int), positions[0:100], 'o', ms=3)
+plt.title('King Markov visits')
+plt.xlabel('Island')
+plt.ylabel('Week')
+plt.show()
+
    +
    +
    +
    +_images/parte_9_8_0.png +
    +
    +
    +
    +

    R Code 9.3

    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.hist(positions, rwidth=0.9)
+plt.title('King Markov visits')
+plt.xlabel('Island')
+plt.ylabel('Number of weeks')
+
+
+plt.show()
+
    +
    +
    +
    +_images/parte_9_10_0.png +
    +
    +
    +
    +

    R Code 9.4

    +
    +
    +
    def multivariate_normal(D, T=1000):
+    """ Return the Gaussian Multivariate standart D-dimensional 
+    
+    Parameter:
+    ===========
+    D: integer
+        D is the dimension of the Gaussian Multivariate
+        
+    T: Integer; default=1000
+        Qty samples
+    """
+    means = np.repeat(0, D) 
+    diag = np.diag(np.repeat(1, D))
+    return np.random.multivariate_normal(means, diag, T)
+
+
+def rad_dist(Y):
+    """ Return the distance radial from the mode
+    
+    Parameter:
+    ===========
+    Y: Multivariate Normal Starndart
+    """
+    return np.sqrt(np.sum(np.power(Y, 2)))
+
+
+def get_radial_distances(D, T=1000):
+    """ Return the array of distances of Gaussian Multivariate standart D-dimensional from mode 
+    
+    Parameter:
+    ===========
+    D: integer
+        D is the dimension of the Gaussian Multivariate
+        
+    T: Integer; default=1000
+        Qty samples
+    """
+    Y = multivariate_normal(D, T)
+    return [rad_dist(Y[i]) for i in range(T)]
+
    +
    +
    +
    +
    +
    +
    plt.figure(figsize=(17, 6))
+
+plt.hist(get_radial_distances(1000), alpha=0.3, density=True, rwidth=0.7)
+plt.hist(get_radial_distances(100), alpha=0.3, density=True, rwidth=0.7)
+plt.hist(get_radial_distances(10), alpha=0.3, density=True, rwidth=0.7)
+plt.hist(get_radial_distances(1), alpha=0.3, density=True, rwidth=0.7)
+
+plt.xlabel('Radial Distance from Mode')
+
+plt.show()
+
    +
    +
    +
    +_images/parte_9_13_0.png +
    +
    +
    +
    +

    Overthinking: Hamilton Monte Carlo in the raw

    +
    +

    R Code 9.5

    +
    +
    +

    R Code 9.6

    +
    +
    +

    R Code 9.7

    +
    +
    +

    R Code 9.8

    +
    +
    +

    R Code 9.9

    +
    +
    +

    R Code 9.10

    +
    +
    +
    +

    9.4 Easy HMC: ulam

    +
    +
    + + + + +
    + + + +
    + + +
    +

    previous

    +

    8 - Os peixes-bois condicionais

    +
    +     + +
    +

    next

    +

    10 - Grande Entropia e Modelos Lineares Generalizados

    +
    + +     +
    + +
    +
    +
    +
    +

    + + By Rodolpho Macedo dos Santos
    + + © Copyright 2021.
    +

    +
    +
    +
    + + +
    +
    + + + + + \ No newline at end of file diff --git a/reports/Arviz - Tutorial.log b/reports/Arviz - Tutorial.log new file mode 100644 index 0000000..df46ee4 --- /dev/null +++ b/reports/Arviz - Tutorial.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['schools_code = """', 'data {', ' int J;', ' array[J] real y;', ' array[J] real sigma;'] +... +[' "St. Paul\'s",', ' "Mt. Hermon",', ' ])', 'posterior = stan.build(schools_code, data=schools_dat, random_seed=1)', 'fit = posterior.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/reports/Survival Analysis.log b/reports/Survival Analysis.log new file mode 100644 index 0000000..754ba48 --- /dev/null +++ b/reports/Survival Analysis.log @@ -0,0 +1,38 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +posteriori = stan.build(model, data=dat_list) +samples = posteriori.sample(num_chains=4, num_samples=1000) +------------------- + diff --git a/reports/Survival Analysis_STAN2.log b/reports/Survival Analysis_STAN2.log new file mode 100644 index 0000000..10f8dc3 --- /dev/null +++ b/reports/Survival Analysis_STAN2.log @@ -0,0 +1,61 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +import numpy as np + +from scipy import stats + +import matplotlib.pyplot as plt +from matplotlib.gridspec import GridSpec + +import pandas as pd + +import networkx as nx +# from causalgraphicalmodels import CausalGraphicalModel + +# import arviz as az +# ArviZ ships with style sheets! +# https://python.arviz.org/en/stable/examples/styles.html#example-styles +#az.style.use("arviz-darkgrid") + +import xarray as xr + +import pystan +import nest_asyncio + +plt.style.use('default') +plt.rcParams['axes.facecolor'] = 'lightgray' + +# To DAG's +import daft +from causalgraphicalmodels import CausalGraphicalModel +------------------ + +--------------------------------------------------------------------------- +ModuleNotFoundError Traceback (most recent call last) +/tmp/ipykernel_12469/116283454.py in  + 18 import xarray as xr + 19  +---> 20 import pystan + 21 import nest_asyncio + 22  + +ModuleNotFoundError: No module named 'pystan' +ModuleNotFoundError: No module named 'pystan' + diff --git a/reports/Untitled2.log b/reports/Untitled2.log new file mode 100644 index 0000000..600d979 --- /dev/null +++ b/reports/Untitled2.log @@ -0,0 +1,65 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +df = pd.read_excel(file_) +------------------ + +--------------------------------------------------------------------------- +FileNotFoundError Traceback (most recent call last) +/tmp/ipykernel_12521/1272785412.py in  +----> 1 df = pd.read_excel(file_) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs) + 309 stacklevel=stacklevel, + 310 ) +--> 311 return func(*args, **kwargs) + 312  + 313 return wrapper + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, thousands, comment, skipfooter, convert_float, mangle_dupe_cols, storage_options) + 362 if not isinstance(io, ExcelFile): + 363 should_close = True +--> 364 io = ExcelFile(io, storage_options=storage_options, engine=engine) + 365 elif engine and engine != io.engine: + 366 raise ValueError( + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in __init__(self, path_or_buffer, engine, storage_options) + 1189 ext = "xls" + 1190 else: +-> 1191 ext = inspect_excel_format( + 1192 content_or_path=path_or_buffer, storage_options=storage_options + 1193 ) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/excel/_base.py in inspect_excel_format(content_or_path, storage_options) + 1068 content_or_path = BytesIO(content_or_path) + 1069  +-> 1070 with get_handle( + 1071 content_or_path, "rb", storage_options=storage_options, is_text=False + 1072 ) as handle: + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/pandas/io/common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) + 709 else: + 710 # Binary mode +--> 711 handle = open(handle, ioargs.mode) + 712 handles.append(handle) + 713  + +FileNotFoundError: [Errno 2] No such file or directory: '/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx' +FileNotFoundError: [Errno 2] No such file or directory: '/home/rodolpho/Projects/grabatus/grabatus-basketAnalysis/gbt_service/vendas_itens.xlsx' + diff --git a/reports/parte_10.log b/reports/parte_10.log new file mode 100644 index 0000000..bbbb348 --- /dev/null +++ b/reports/parte_10.log @@ -0,0 +1,44 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +H = pd.DataFrame([ sim_p(1.4) for _ in range(10000)], columns=('entropies', 'distributions')) + +plt.figure(figsize=(17, 6)) + +plt.hist(H.entropies, desity) + +plt.title('Entropy - Binomial') +plt.xlabel('Entropy') +plt.ylabel('Density') + +plt.show() +------------------ + +--------------------------------------------------------------------------- +NameError Traceback (most recent call last) +/tmp/ipykernel_12546/2515220492.py in  + 3 plt.figure(figsize=(17, 6)) + 4  +----> 5 plt.hist(H.entropies, desity) + 6  + 7 plt.title('Entropy - Binomial') + +NameError: name 'desity' is not defined +NameError: name 'desity' is not defined + diff --git a/reports/parte_11.log b/reports/parte_11.log new file mode 100644 index 0000000..aacbfd4 --- /dev/null +++ b/reports/parte_11.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['model = """', ' data {', ' int N;', ' int qty_cid;', ' array[N] int total_tools;'] +... +["data_list['N'] = len(df.total_tools)", "data_list['qty_cid'] = len(df.contact_id.unique())", '', 'posteriori = stan.build(model, data=data_list)', 'samples = posteriori.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/reports/parte_12.log b/reports/parte_12.log new file mode 100644 index 0000000..ff6f5e0 --- /dev/null +++ b/reports/parte_12.log @@ -0,0 +1,147 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +model = """ + functions { + vector alpha_cast(vector pbar, real theta){ + return pbar * theta; + } + + vector beta_cast(vector pbar, real theta){ + return (1-pbar) * theta; + } + } + + data { + int N; + int qty_gid; + array[N] int admit; + array[N] int applications; + array[N] int gid; + } + + parameters { + vector[qty_gid] a; + real phi; + } + + transformed parameters { + real theta; // Need declared here to transform the parameter + theta = phi + 2; + } + + model { + vector[N] pbar; + + a ~ normal(0, 1.5); + phi ~ exponential(1); + + for (i in 1:N){ + pbar[i] = a[ gid[i] ]; + pbar[i] = inv_logit(pbar[i]); + } + + admit ~ beta_binomial(applications, alpha_cast(pbar, theta), beta_cast(pbar, theta) ); + } + + generated quantities { + real da; + da = a[1] - a[2]; + } + +""" + +data_list = df[['applications', 'admit', 'gid']].to_dict('list') +data_list['N'] = len(df.admit) +data_list['qty_gid'] = len(df.gid.unique()) +data_list + +posteriori = stan.build(model, data=data_list) +samples = posteriori.sample(num_chains=4, num_samples=1000) +------------------ + +--------------------------------------------------------------------------- +ValueError Traceback (most recent call last) +/tmp/ipykernel_33906/4103575024.py in  + 54 data_list + 55  +---> 56 posteriori = stan.build(model, data=data_list) + 57 samples = posteriori.sample(num_chains=4, num_samples=1000) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/model.py in build(program_code, data, random_seed) + 517  + 518 try: +--> 519 return asyncio.run(go()) + 520 except KeyboardInterrupt: + 521 return # type: ignore + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/nest_asyncio.py in run(main, debug) + 33 task = asyncio.ensure_future(main) + 34 try: +---> 35 return loop.run_until_complete(task) + 36 finally: + 37 if not task.done(): + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/nest_asyncio.py in run_until_complete(self, future) + 88 raise RuntimeError( + 89 'Event loop stopped before Future completed.') +---> 90 return f.result() + 91  + 92 def _run_once(self): + +/usr/lib/python3.8/asyncio/futures.py in result(self) + 176 self.__log_traceback = False + 177 if self._exception is not None: +--> 178 raise self._exception + 179 return self._result + 180  + +/usr/lib/python3.8/asyncio/tasks.py in __step(***failed resolving arguments***) + 278 # We use the `send` method directly, because coroutines + 279 # don't have `__iter__` and `__next__` methods. +--> 280 result = coro.send(None) + 281 else: + 282 result = coro.throw(exc) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/model.py in go() + 484  + 485 if resp.status != 201: +--> 486 match = re.search(r"""ValueError\(['"](.*)['"]\)""", resp.json()["message"]) + 487 if not match: # unknown error, should not happen + 488 raise RuntimeError(resp.json()["message"]) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/common.py in json(self) + 23 def json(self) -> dict: + 24 # mypy 0.961 complains that simdjson lacks a `loads`. +---> 25 return simdjson.loads(self.content) # type: ignore + 26  + 27  + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/simdjson/__init__.py in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kwargs) + 50 """ + 51 parser = Parser() +---> 52 return parser.parse(s, True) + 53  + 54  + +simdjson/csimdjson.pyx in csimdjson.Parser.parse() + +ValueError: The JSON document has an improper structure: missing or superfluous commas, braces, missing keys, etc. +ValueError: The JSON document has an improper structure: missing or superfluous commas, braces, missing keys, etc. + diff --git a/reports/parte_13.log b/reports/parte_13.log new file mode 100644 index 0000000..002a744 --- /dev/null +++ b/reports/parte_13.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['model = """', ' data {', ' int N;', ' int qty_chimpanzees;', ' int qty_blocks;'] +... +["dat_list['qty_blocks'] = len(df['block'].unique())", "dat_list['qty_treatments'] = len(df['treatment'].unique())", '', 'posteriori = stan.build(model, data=dat_list)', 'samples = posteriori.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/reports/parte_14.log b/reports/parte_14.log new file mode 100644 index 0000000..c03eee7 --- /dev/null +++ b/reports/parte_14.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['# https://mc-stan.org/docs/stan-users-guide/multivariate-hierarchical-priors.html', '', 'model = """', ' data {', ' int N;'] +... +[" 'cafe': d.cafe.values,", '}', '', 'posteriori = stan.build(model, data=dat_list)', 'samples = posteriori.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/reports/parte_4.log b/reports/parte_4.log index edc1f01..0035528 100644 --- a/reports/parte_4.log +++ b/reports/parte_4.log @@ -1,3 +1,14 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + Traceback (most recent call last): File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution executenb( @@ -11,46 +22,18 @@ Traceback (most recent call last): return future.result() File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute await self.async_execute_cell( - File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell - self._check_raise_for_error(cell, exec_reply) - File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error - raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) -nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: ------------------- -# =============================================== -# Plot da Posteriori da B-Spline de Grau 3 -# =============================================== -plt.figure(figsize=(17, 9)) - -plt.scatter(cherry_not_na.year, cherry_not_na.temp, marker='o', alpha=0.5, s=7) # Plot da amostra - -plt.fill_between(cherry_not_na.year, HPDI_posteriori_spline_3[:, 0], HPDI_posteriori_spline_3[:, 1], # Plot HPDI - color='red', alpha=0.3, label='HPDI da Posteriori') - -plt.plot(cherry_not_na.year, mean_posteriori_spline_3, color='black', label='Média da posteriori') # Plot da Média - -plt.plot(cherry_not_na.year, alpha_spline_3[:, :n_plot] + Bw_spline_3[:, :n_plot], # Plot do Intevalo da Média (Sem o HPDI) - color='red', linewidth=0.1, alpha=0.1) - -plt.title('Posteriori da B-Spline \n HPDI de ' + str(intervalo_credibilidade) + '%') -plt.xlabel('Ano') -plt.ylabel('Posteriori \n (Temperatura de Março)') -plt.grid(ls='--', color='white', alpha=0.6) - -plt.text(2000, 8.1, 'Um problema que pode acontecer \n quando geramos a spline com a \n última e a primeira ponta da função \n "presa".') - -plt.show() ------------------- - ---------------------------------------------------------------------------- -IndexError Traceback (most recent call last) -/tmp/ipykernel_81404/1197164469.py in  - 11 plt.plot(cherry_not_na.year, mean_posteriori_spline_3, color='black', label='Média da posteriori') # Plot da Média - 12  ----> 13 plt.plot(cherry_not_na.year, alpha_spline_3[:, :n_plot] + Bw_spline_3[:, :n_plot], # Plot do Intevalo da Média (Sem o HPDI) - 14 color='red', linewidth=0.1, alpha=0.1) - 15  - -IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed -IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['# ==================================', '# Construindo o modelo b-spline', '# ==================================', '', 'model_spline_1 = """'] +... +["alpha_spline_1 = fit_spline_1['alpha']", "w_spline_1 = fit_spline_1['w']", "sigma_spline_1 = fit_spline_1['sigma'].flatten()", '', 'Bw_spline_1 = np.matmul(spline_1, w_spline_1) # Fazendo a multiplicação das matrizes B * w'] +------------------- diff --git a/reports/parte_5.log b/reports/parte_5.log new file mode 100644 index 0000000..fac2cf3 --- /dev/null +++ b/reports/parte_5.log @@ -0,0 +1,43 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +# ================== +# Posteriori M ~ A +# ================== + +posteriori_MA = lm(var_y=M_stdr.values, var_x=A_stdr.values, alpha=alpha_divorce, beta=beta_divorce, + title_yaxis= "Taxa de casamentos (M)", + title_xaxis= "Mediana das Idades dos Casamentos (A)") +------------------- + diff --git a/reports/parte_6.log b/reports/parte_6.log new file mode 100644 index 0000000..7cfb6be --- /dev/null +++ b/reports/parte_6.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['"""', 'To mu definition below', '----------------------', '', 'vector[N] a;'] +... +[" 'F': fungus,", '}', '', 'posteriori = stan.build(model, data=data)', 'samples = posteriori.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/reports/parte_7.log b/reports/parte_7.log new file mode 100644 index 0000000..742897a --- /dev/null +++ b/reports/parte_7.log @@ -0,0 +1,130 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 862, in async_execute_cell + self._check_raise_for_error(cell, exec_reply) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 765, in _check_raise_for_error + raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) +nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: +------------------ +model = """ + data { + int N; + vector[N] brain; + vector[N] body; + } + + parameters { + real alpha; + real beta[3]; + real sigma; + } + + model { + vector[N] mu; + + mu = alpha + beta[1] * body + + beta[2] * body^2 + + beta[3] * body^3; + + // Likelihood + brain ~ normal(mu, sigma); + + // Prioris + alpha ~ normal(0.5, 1); + for (j in 1:3){ + beta[j] ~ normal(0, 10); + } + sigma ~ lognormal(0, 1); + } +""" + +data = { + 'N': len(d.brain_std), + 'brain': d.brain_std.values, + 'body': d.mass_std.values, +} + +posteriori_3 = stan.build(model, data=data) +samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000) +------------------ + +--------------------------------------------------------------------------- +ValueError Traceback (most recent call last) +/tmp/ipykernel_34512/3527731407.py in  + 37 } + 38  +---> 39 posteriori_3 = stan.build(model, data=data) + 40 samples_3 = posteriori_3.sample(num_chains=4, num_samples=1000) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/model.py in build(program_code, data, random_seed) + 517  + 518 try: +--> 519 return asyncio.run(go()) + 520 except KeyboardInterrupt: + 521 return # type: ignore + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/nest_asyncio.py in run(main, debug) + 33 task = asyncio.ensure_future(main) + 34 try: +---> 35 return loop.run_until_complete(task) + 36 finally: + 37 if not task.done(): + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/nest_asyncio.py in run_until_complete(self, future) + 88 raise RuntimeError( + 89 'Event loop stopped before Future completed.') +---> 90 return f.result() + 91  + 92 def _run_once(self): + +/usr/lib/python3.8/asyncio/futures.py in result(self) + 176 self.__log_traceback = False + 177 if self._exception is not None: +--> 178 raise self._exception + 179 return self._result + 180  + +/usr/lib/python3.8/asyncio/tasks.py in __step(***failed resolving arguments***) + 278 # We use the `send` method directly, because coroutines + 279 # don't have `__iter__` and `__next__` methods. +--> 280 result = coro.send(None) + 281 else: + 282 result = coro.throw(exc) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/model.py in go() + 484  + 485 if resp.status != 201: +--> 486 match = re.search(r"""ValueError\(['"](.*)['"]\)""", resp.json()["message"]) + 487 if not match: # unknown error, should not happen + 488 raise RuntimeError(resp.json()["message"]) + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/stan/common.py in json(self) + 23 def json(self) -> dict: + 24 # mypy 0.961 complains that simdjson lacks a `loads`. +---> 25 return simdjson.loads(self.content) # type: ignore + 26  + 27  + +~/Projects/bayesian/BAYES/lib/python3.8/site-packages/simdjson/__init__.py in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kwargs) + 50 """ + 51 parser = Parser() +---> 52 return parser.parse(s, True) + 53  + 54  + +simdjson/csimdjson.pyx in csimdjson.Parser.parse() + +ValueError: The JSON document has an improper structure: missing or superfluous commas, braces, missing keys, etc. +ValueError: The JSON document has an improper structure: missing or superfluous commas, braces, missing keys, etc. + diff --git a/reports/parte_8.log b/reports/parte_8.log new file mode 100644 index 0000000..c65241f --- /dev/null +++ b/reports/parte_8.log @@ -0,0 +1,39 @@ +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 627, in _async_poll_for_reply + msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 89, in ensure_async + result = await obj + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_client/channels.py", line 230, in get_msg + raise Empty +_queue.Empty + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution + executenb( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 1117, in execute + return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 78, in wrapped + return just_run(coro(*args, **kwargs)) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/util.py", line 57, in just_run + return loop.run_until_complete(coro) + File "/usr/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete + return future.result() + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 558, in async_execute + await self.async_execute_cell( + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 846, in async_execute_cell + exec_reply = await self.task_poll_for_reply + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 651, in _async_poll_for_reply + await self._async_handle_timeout(timeout, cell) + File "/home/rodolpho/Projects/bayesian/BAYES/lib/python3.8/site-packages/nbclient/client.py", line 701, in _async_handle_timeout + raise CellTimeoutError.error_from_timeout_and_cell( +nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds. +The message was: Cell execution timed out. +Here is a preview of the cell contents: +------------------- +['model3 = """', ' data {', ' int N;', ' vector[N] log_gdp_std;', ' vector[N] rugged_std;'] +... +[" 'cid': ddf['cid'].values,", '}', '', 'posteriori = stan.build(model3, data=data)', 'samples = posteriori.sample(num_chains=4, num_samples=1000)'] +------------------- + diff --git a/search.html b/search.html index 09e62ee..4aa5991 100644 --- a/search.html +++ b/search.html @@ -125,6 +125,51 @@

    Statistical Rethinking

    5 - Muitas Variáveis e os Waffles Espúrios +
  • + + 6 - Os DAGs assombrados & O Terror Causal + +
    • +
  • + + 7 - Compasso de Ulisses + +
    • +
  • + + 8 - Os peixes-bois condicionais + +
    • +
  • + + 9 - Markov Chain Monte Carlo + +
    • +
  • + + 10 - Grande Entropia e Modelos Lineares Generalizados + +
    • +
  • + + 11 - A cravada de Deus e Inteiros + +
    • +
  • + + 12 - Monstros e Misturas + +
    • +
  • + + 13 - Modelos com Memória + +
    • +
  • + + 14 - Aventuras na Covariâncias + +
    • diff --git a/searchindex.js b/searchindex.js index 970b3a7..7c5ee6d 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ 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