diff --git a/docs/src/tutorials/bank_fraud_detection_with_tfdf.ipynb b/docs/src/tutorials/bank_fraud_detection_with_tfdf.ipynb index 17687879f..d8ab045f5 100644 --- a/docs/src/tutorials/bank_fraud_detection_with_tfdf.ipynb +++ b/docs/src/tutorials/bank_fraud_detection_with_tfdf.ipynb @@ -1,18 +1,17 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "id": "9a8e59c2-df0a-4782-8ff7-514b826f76bc", "metadata": {}, "source": [ - "# Detecting payment card fraud with Temporian and TensorFlow Decision Forests\n", + "# Detecting payment card fraud with Temporian and YDF\n", "\n", "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google/temporian/blob/last-release/docs/src/tutorials/bank_fraud_detection_with_tfdf.ipynb)\n", "\n", "Detection of fraud in online banking is critical for banks, businesses, and their consumers. The book \"[Reproducible Machine Learning for Credit Card Fraud Detection](https://fraud-detection-handbook.github.io/fraud-detection-handbook/Foreword.html)\" by Le Borgne et al. introduces the problem of payment card fraud and shows how fraud can be detected using machine learning. However, since banking transactions are sensitive and not widely available, the book uses a synthetic dataset for practical exercises.\n", "\n", - "This notebook uses the same dataset to show how to use Temporian and [TensorFlow Decision Forests](https://www.tensorflow.org/decision_forests) to detect fraud. Temporian is used for data preprocessing and feature engineering, while TensorFlow Decision Forests is used for model training. Feature engineering is often critical for temporal data, and this notebook demonstrates how complex feature engineering can be performed with ease using Temporian.\n", + "This notebook uses the same dataset to show how to use Temporian and [YDF](https://ydf.readthedocs.io) to detect fraud. Temporian is used for data preprocessing and feature engineering, while YDF is used for model training. Feature engineering is often critical for temporal data, and this notebook demonstrates how complex feature engineering can be performed with ease using Temporian.\n", "\n", "The notebook is divided into three parts:\n", "\n", @@ -26,7 +25,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "8ce89356-af4a-4ddb-9f37-5e57ffe7ef5a", "metadata": {}, @@ -36,27 +34,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "77dc817d-b6fa-4b89-af98-efadcfb30324", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], + "outputs": [], "source": [ "# For data preprocessing and augmantation\n", "%pip install temporian -q\n", "\n", "# For model training\n", - "%pip install tensorflow tensorflow_decision_forests -q\n", + "%pip install ydf -q\n", "\n", "# To plots and analyse the dataset\n", "%pip install seaborn -q\n", @@ -67,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 2, "id": "da9a2569-03ae-4ead-a16c-e9e6ef5cf5f5", "metadata": {}, "outputs": [], @@ -89,13 +76,9 @@ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", - "# We use TensorFlow Decision Forests to train the fraud detection model using\n", + "# We use YDF to train the fraud detection model using\n", "# the features computed by Temporian.\n", - "import tensorflow_decision_forests as tfdf\n", - "import tensorflow as tf\n", - "\n", - "# We use sklearn to compute the ROC curve and AUC of the TF-DF model\n", - "from sklearn import metrics as sk_metrics" + "import ydf" ] }, { @@ -110,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 3, "id": "f7e8425f-bdc1-4a0e-8bbf-96af7568811e", "metadata": {}, "outputs": [ @@ -147,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 4, "id": "e9496610-0e6a-4f73-a0a3-769146801f48", "metadata": {}, "outputs": [ @@ -155,7 +138,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Downloading dataset>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>done\n", + "Downloading dataset.......................................................................................................................................................................................done\n", "Found 1754155 transactions\n" ] }, @@ -359,7 +342,7 @@ "[1754155 rows x 9 columns]" ] }, - "execution_count": 30, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -410,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 5, "id": "245659eb-0a36-4dfd-ae22-260ed478cf23", "metadata": {}, "outputs": [], @@ -430,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 6, "id": "7df5afca-39bd-4a95-b1db-f0ceffb0fadf", "metadata": {}, "outputs": [ @@ -438,26 +421,222 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING:root:Feature \"CUSTOMER_ID\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"TERMINAL_ID\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" + "WARNING:root:Feature \"CUSTOMER_ID\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"TERMINAL_ID\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" ] }, { "data": { + "text/html": [ + "
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"outputs": [ { "data": { - "image/png": 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", + "image/png": 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eFordl+KEffjQ1QfYEXIPO0LuCftLRnYesnPVqFDOGWWdHdFz2XE8V90DM19uhH8uxWHEi7XxzYEIpGXlYt9/n52UjBxk5eahXBlHuJVxgoODAq/9dApqDXApNhkLXmuKU7cTsffykxOSey/fR0Z2rvBbpta0vcJnutu3RxHw8UtIysjG0oM3cD46CQBwaVZPeLo6IyE1C/f/O/G98+JdjO5UFxeik/DOf+8nAEzs9izuPs7A0YiHGNLeD1GJ6bj3OBPf/rdPfDewJdrMPyT8Bg2Z2QOV3Mrgg11xwK7896ihtzsaVfdARnYepu8IE9b93cAWWHboBpYduoE3WtXAy82qo0tDL9SatheD2tXE9L4NsfDf60jPzhNOMnz9ZjPIjUJj6em6p5RSqYSnpydSUlJKZQEsRWJiIqpUqVKs28zKyYMyMwdpqlzkqjXYHRqHljUrYOT6ILzVugb+DBZfYXm1hQ/+DjXdssDJQSH8WNP+6O3+XDWMfLG28CMcAIa298OGs3dEz41e1E/4YQEAE7rUE340AhAONAVZObiVwY/p4R38sP7Mk+3NG9AEQ9v7ibanb+bLjTDvv6shWlN61MfFmMfCDyRt3H2+OyGc/T01rSteWBQIcwI+7gQvj7JoPudJEfusV3nc1Dvr3652JbzTxhef/HlJmDarfyPM+edJXG+2roG/dPLkoADWvd8Ow34zvGKmq32dSnB2dMAJI1cldV/b2lNRWHHkNvZNfNGgSAAg/FDWfS+/G9gCk7aGCo/faeOLKT3rw1/v+Rdn9kBLnQLmnTa+oi9sAHAv64TUrFzRtE71qwpXHwGgSvkySEx7cub62tzeeO7L/ShIz0bVcPBq/hXCm1/1waGrDwz2nbMft0X7ZU/OpLerXQnno57sh9p9uXkNT1y6a/ps/YnPu6DjN0fQt6k39oXFY/MH/vCvUxl1//ekEHq5WXXMfbUJDl97IHyxX5/XWzhBoxW9qB/aLzgs+oHy59gOeGvVGcx7tTFm/n0Fg/1rom2tSsIJLwDo0agaAq6avyK6YWQ7DF0j3nd+Gdoao//7IbtycCvsCbsv+jECAOO71BUKM606VdwQqXNlWJuXCuWckZxh/EpIy5oVcDEm2WyMAIQTW/o+eLE2Vp+MQvSifvhwUzBUOWoc/u+k2luta6B7PXeM2XbN4JigK2J+b9HJqy2j2mP0hiCD/VDXpS974tTtRHyos/8YO4boH+cAYHSnOvjleCQAoLJbGUzs9ixm7b5i9vVf+KI72n51CO1qVRJ+4Omu+1mv8vjnoxcN9h0p6lZ1w+2Hhlf0dePUV66MI67O7W32mArkHx93XbyHxTqtYqIX9cPIdReEPGnp/wjXdX1eb6SlPEabJedE0zeP8se7vz6ZdmByJ2w4G42NZ59cqb4xvw/C7iXjjZVnzMaqq7yLk1BgajX28cCVuCdX/YZ38MOcV5sAeHIi7n99G2LBvuuiY+KQ9jVF8Zh6ffq508+L/rEIgPD51/p+UEv8dOQWrsebbn0DPDk+aSkUgEZj+BnWp7vPGfvuBfILga/faIZXV5wSprX2qyhqHab/vQYAHepUxpn/Wu9o7Z34Ivp9f1I0bf2IdhhewPedrvP/64bZ/1zBvjBxywvd45z2tR26+gAf/Nda4tOe9XE9PhV79I59UjX3rYBL/7WI+XVYG4zSaYVRkFVDWmPsRulXqHU5OijwYr0qGN+lHt7+Wfo+Dxg/Xknx14hmePO3J1dkZ/R7DvP3XhMtc2jKS+i+9JjF69Zl7HMJ5McdGpuMATr7nBQnp3bBi18fEU0b2NYXWy/kf9d0ql8Va4a3wbNf/CtaJnJBX9TR+S6PXtQPM3eFi37nDmpXU9RiRirtiU7tiUVjrs/rjTUno0TH1SVvNcenOr8dAWDTB/4Y/N9JDveyTni95TMmvweB/Lx90LGOwT7Qp4k3/tVruWTq+fp513V2ejfRBbKSypIalIW9RE9DYR8eHo4mTZpYZV1J6dn45I9Q1Krihs4NvJCuyhX94Ayb3RNNda5g21qTZzwQfk9pdhndK+0AUMbRAdmFaF6sPaFgzrwBTeBfuxJ6Ljtu8fr1hc/phSazDhR5Pcb4eJZFXIr4h+1nvRqIDt7Ojgrk5JWsw8hg/5rYdE78Bda/uQ/+uVRyu5uUcXRAXa/youZ51lS/WnnceFBwc03t1WdzJnath+8DjTeh1yWlgNDn6KAwuFKpqyTub8YYKwDKOjvgy5eq4n+HzJ/c+Oq1JvhiZ7hF25vdvxFm6xUmxhg7qVkYZ6d3E7XkAQzjDvi4E3pY4RinVbuKm9A9xphxneti5dHbJucDwBd9n8NX+0z/0LPEniF+eHmj+L3UntjRWvZOc3y8TfzjtnYVN/RoVM3kSQqpKpZzxmOdE1RdGlTFveRMSZ/zgqx9vy3eX3uh4AXtLGRmD+Eqd0Nv9wJPINiCq7MjMo10UbJUr8bVcODKk2ODsaLW1EkvS+mfFCqp9E/SF1ZBBZ61WfvYp+td/5rYrPf7Rv872VhhX1jBM7qbLeoB08c5c8drwPjFFH2FPbkjlW5L05LKkhqUTfFJULFiRcnLJmdkY9WxSPRp4o0Pfg8S+tMYiHhotEhYYKUfVlIVVNQDEBX1AKBB4YoH3f7Rpqw/HY3Tt0xfqbaEuX5sRaVf1AMQFfUASmSRpV/UAyjRRT0AZOepbVbUA7DKj30tKUU9AMQlS+v7q8tcUQ+UzP3NGP2iHgCyctQFFvUARP34pQo00p3FGGv80AOAGCP9hvVPRhj7HBZFQT8SCyrqAVitqAeAVLgaTFut1+83ykgRFpWYXuSiHoCoqAcgaslVVKWhqAeARf8+yac9inoAVinqAYiKegBGxxixRlEPoFQU9QCsUtTbw24b/t7QL+oB49/J1jrW/29nWIHL6Bf1QMHHa7INXrGX6Gm4Yp+QkAAvLy+j81Iyc3DyZiLGbzZs5kZE8iHlDDoRAe+09MK2iwlmlzHWXJ2sx1gXMiJ7e6W5j02L+4KM6VQHP1vh5GFJ4OnqbHIQQWuQ2xV7FvYSPQ2FvbGm+FfiUoxeeSIiIiIiIiqt5FbYl5jb3S1atAgKhQKTJ082mKfRaNCnTx8oFArs2rVLmP7o0SP07t0bPj4+cHFxga+vLyZMmACl8kkTo5MnT+KFF15A5cqV4erqioYNG2LZsmXF8IpKn8qVKwMAWs49iFrT9qLWtL0s6omIiIiIiEq4QvexT0xMRHR0NBQKBWrVqiUUhYVx4cIF/Pzzz2jWzPhtB5YvXw6FQmEw3cHBAa+++irmz5+PqlWr4tatWxg/fjySkpKwefNmAICbmxsmTJiAZs2awc3NDSdPnsSYMWPg5uaG0aNHFzpmubLlABVERERERERkfRZfsb9y5Qo6deqEatWqwd/fH+3atYOXlxe6du2KiIiCBw3Tl5aWhsGDB+PXX381OnhbaGgovv32W/z2228G8ypWrIhx48ahTZs28PPzQ7du3fDhhx/ixIkTwjItW7bEoEGD0LhxY9SqVQtDhgxBr169RMs87fLUGly+m4wO37H/PBERERERUWljUWEfHx+Pl156CQ8fPsTSpUuxb98+7N27F4sXL8b9+/fRsWNHJCSYH0hG3/jx49GvXz90797dYF5GRgbeffddrFixAt7e3gWuKy4uDjt27MBLL71kcpmLFy/i9OnTZpcBAJVKBaVSKfqTo2v3laj7v3145UfL7rVJREREREREJYNFhf2yZcvg5+eHixcvYtKkSejVqxd69+6NKVOmICQkBL6+vhb1X9+6dStCQkKwcOFCo/M//vhjPP/883j11VfNrmfQoEEoV64cnnnmGXh4eGD16tUGy9SoUQMuLi5o06YNxo8fjw8++MDsOhcuXAhPT0/hz9fXV/LrKk36fMeWC0RERERERKWZRYV9QEAApk6dirJlyxrMc3V1xWeffYYDBw5IWldsbCwmTZqETZs2GV3f7t27ERgYiOXLlxe4rmXLliEkJAR///03bt++jSlTphgsc+LECQQFBWHVqlVYvnw5tmzZYnad06dPR0pKivAXGyu/2z+xPz0REREREVHpZ9Ht7ipUqICgoCDUq1fP6Pxbt26hTZs2SE5OLnBdu3btwmuvvQZHR0dhWl5eHhQKBRwcHDBu3DisWLECDg4OovkODg7o2LEjjh49anS9J0+eRMeOHREXF4fq1asbXWb+/PnYsGGDRWMCyPF2dyzsiYiIiIjoaSS3291ZNCp+amqq2RW6u7sjLS1N0rq6deuGsLAw0bT3338fDRs2xNSpU1GlShWMGTNGNL9p06ZYtmwZ+vfvb3K9arUaQH4feXPLmJsvdxnZuWj0pbSWFURERERERHKj0WiM3nmttLL4dnepqalGm84D+WcUpDYAcHd3R5MmTUTT3NzcULlyZWG6sQHzatasidq1awMA9u3bhwcPHqBt27YoX748rly5gs8++wwvvPACatWqBQBYsWIFatasiYYNGwIAjh8/jiVLlmDixImS4pSbHSF3MeWPS/YOg4iIiIiIiKzEosJeo9Ggfv36ZucX51kPV1dX/Prrr/j444+hUqng6+uL119/HdOmTROWUavVmD59OqKiouDk5IS6devi66+/NmgN8LRgUU9ERERERCQvFvWxP3bsmKTlCrqVXGkkhz72Z24/wqBfz9o7DCIiIiIiIruKWti3xDfFt1kfezkW7E8TFvVERERERESARgOU8LreIhYV9kqlUtJypfWKNhEREREREVFpY1FhX6FCBbPNFbR97PPy8oocGBEREREREREVzKLC/siRI7aKg2xMrZY8lAIRERERERGVIjbtY79o0SKMHTsWFSpUsOh5ZH0nbyXaOwQiIiIiIqISQW6XPR1sufIFCxYgKSnJlpsgiYb9dt7eIRAREREREZEN2LSwt+BOekRERERERERUCDYt7ImIiIiIiIjItljYExERERER0VPl9sM0e4dgVSzsnwJ/BsXaOwQiIiIiIqISQ5WjtncIVsXC/inw2V+X7R0CERERERER2YhNC/uOHTvC1dXVlpugAqw6dtveIRAREREREZUormXkdY3bqq8mJCQEL7/8svB43759qF69ujU3QRZa9O91e4dARERERERUori5ONk7BKuyuLA/cOAAPv30U/zvf/9DZGQkAOD69esYMGAA2rZtC7VaXn0ViIiIiIiIiEoyi05TrFmzBqNGjUKlSpXw+PFjrF69GkuXLsVHH32Ed955B+Hh4XjuuedsFStZKDuXJ1mIiIiIiIjkzqIr9t999x2+/vprJCYm4o8//kBiYiJ++uknhIWFYdWqVSzqS5izkY/sHQIREREREVGJo9HYOwLrsqiwv337Nt566y0AwOuvvw4nJycsXrwYNWrUsElwVDTfHoywdwhERERERERkYxYV9pmZmShXrhwAQKFQwMXFhYPjlWCX7qbYOwQiIiIiIiKyMYuHAly9ejXKly8PAMjNzcW6detQpUoV0TITJ060TnREREREREREZJZFhX3NmjXx66+/Co+9vb2xYcMG0TIKhYKFPREREREREZVYMutib1lhHx0dbaMwiIiIiIiIiKgwLL6PPRERERERERGVHBYV9n379kVKypMB2RYtWoTk5GTh8aNHj9CoUaNCBbJo0SIoFApMnjxZmBYfH4+hQ4fC29sbbm5uaNWqFbZv3270+SqVCi1atIBCoUBoaKgwPSsrC++99x6aNm0KJycnDBgwoFDxEREREREREZVEFhX2Bw4cgEqlEh4vWLAASUlJwuPc3FxERFh+i7ULFy7g559/RrNmzUTThw0bhoiICOzevRthYWF4/fXX8fbbb+PixYsG6/j888/h4+NjMD0vLw+urq6YOHEiunfvbnFsREREREREJC8amd3I3qLCXv/FW+PNSEtLw+DBg/Hrr7+iYsWKonmnT5/GRx99hHbt2qFOnTqYMWMGKlSogODgYNFy//77Lw4ePIglS5YYrN/NzQ0rV67EqFGj4O3tXeR4iYiIiIiIiEoSu/exHz9+PPr162f0avrzzz+Pbdu2ISkpCWq1Glu3bkVWVhY6d+4sLPPgwQOMGjUKGzZsQLly5awWl0qlglKpFP0RERERERFR6adQKOwdglVZVNgrFAqDN6Aob8jWrVsREhKChQsXGp3/xx9/ICcnB5UrV4aLiwvGjBmDnTt3ol69egDyWwy89957GDt2LNq0aVPoOIxZuHAhPD09hT9fX1+rrp+IiIiIiIjIGiy63Z22kHZxcQGQPzDd2LFj4ebmBgCi/vcFiY2NxaRJkxAQEICyZcsaXWbmzJlITk7GoUOHUKVKFezatQtvv/02Tpw4gaZNm+KHH35Aamoqpk+fbsnLkGT69OmYMmWK8FipVJaq4l5ufUaIiIiIiIisRW71kkWF/fDhw0WPhwwZYrDMsGHDJK0rODgYCQkJaNWqlTAtLy8Px48fx48//oiIiAj8+OOPCA8PR+PGjQEAzZs3x4kTJ7BixQqsWrUKgYGBOHPmjHCiQatNmzYYPHgw1q9fb8nLE3FxcTFYb2kSm5Rp7xCIiIiIiIioGFhU2K9du9ZqG+7WrRvCwsJE095//300bNgQU6dORUZGBgDAwUHcW8DR0RFqtRoA8P3332P+/PnCvLi4OPTq1Qvbtm2Dv7+/1WItjTSQ1xkoIiIiIiIia5HZBXvLCntrcnd3R5MmTUTT3NzcULlyZTRp0gQ5OTmoV68exowZgyVLlqBy5crYtWsXAgICsGfPHgBAzZo1Rc8vX748AKBu3bqoUaOGMP3q1avIzs5GUlISUlNThfvct2jRwnYv0M7C73GwPyIiIiIioqeBRYX9iBEjJC3322+/FSoYXc7Ozti3bx+mTZuG/v37Iy0tDfXq1cP69evRt29fi9bVt29f3LlzR3jcsmVLAPLrV6ErIp6FPRERERER0dPAosJ+3bp18PPzQ8uWLW1SFB89elT0+Nlnn8X27dslP79WrVpG44qOji5iZKVPZk6evUMgIiIiIiKiYmBRYT9u3Dhs2bIFUVFReP/99zFkyBBUqlTJVrFREfx6IsreIRAREREREVExsOg+9itWrMD9+/fx+eef459//oGvry/efvttHDhwQNbN2omIiIiIiIhKKosKeyD/NnCDBg1CQEAArl69isaNG+PDDz9ErVq1kJaWZosYiYiIiIiIiKxGbtelLS7sRU92cIBCoYBGo0FeHvt0ExERERERERU3iwt7lUqFLVu2oEePHqhfvz7CwsLw448/IiYmRrjdHBEREREREREVD4sGz/vwww+xdetW+Pr6YsSIEdiyZQuqVKliq9iIiIiIiIiIqAAWFfarVq1CzZo1UadOHRw7dgzHjh0zutyOHTusEhwRERERERERmWdRYT9s2DAoFApbxUJEREREREREFrKosF+3bp2NwiAiIiIiIiKiwrCosNeVnJyMW7duAQDq1auHChUqWCsmIiIiIiIiIpLI4lHxo6Oj0a9fP1SpUgX+/v7w9/dHlSpV8PLLLyM6OtoGIRIRERERERFZjwbyupG9RVfsY2Nj0b59ezg7O2PevHl47rnnAABXr17FypUr0aFDB1y4cAE1atSwSbBEREREREREJKbQaDSST1WMHDkSt27dwoEDB1C2bFnRvMzMTPTu3RvPPvssVq9ebfVA7U2pVMLT0xMpKSnw8PCwdzgFqjVtr71DICIiIiIiKpGOfdYZfpXd7B2GWZbUoBZdsd+/fz+2bdtmUNQDgKurK+bNm4eBAwdaFi0RERERERERFZpFfewTExNRq1Ytk/Pr1KmDpKSkosZEREREREREZDPS262XDhYV9tWrV8fVq1dNzg8PD4e3t3eRgyIiIiIiIiIiaSwq7AcMGIBPP/0UDx8+NJiXkJCAqVOnYsCAAdaKjYiIiIiIiIgKYFEf+1mzZmHfvn2oW7cuhgwZgoYNG0Kj0eDatWvYvHkzvL298eWXX9oqViIiIiIiIqIik1lLfMsK+4oVK+LcuXP43//+h61btyI5ORkAUKFCBbz77rtYsGABKlWqZIs4iYiIiIiIiKzCgpvDlQoWFfYxMTHw9fXFypUr8dNPPwlN8qtWrQqFQmGTAImIiIiIiIjINIv62NeuXVso5hUKBby8vODl5cWinoiIiIiIiMhOLCrs5dZcgYiIiIiIiKi0s6iwB2DVq/PHjx9H//794ePjA4VCgV27dgnzcnJyMHXqVDRt2hRubm7w8fHBsGHDEBcXZ7CevXv3wt/fH66urqhYsaJoZP5169ZBoVAY/UtISLDaayEiIiIiIiKyB4v62APAzJkzUa5cObPLLF26VNK60tPT0bx5c4wYMQKvv/66aF5GRgZCQkIwc+ZMNG/eHI8fP8akSZPwyiuvICgoSFhu+/btGDVqFBYsWICuXbsiNzcX4eHhwvx33nkHvXv3Fq37vffeQ1ZWFry8vCTFWdrk5qntHQIREREREREVE4sL+7CwMJQpU8bkfEuu6Pfp0wd9+vQxOs/T0xMBAQGiaT/++CPatWuHmJgY1KxZE7m5uZg0aRIWL16MkSNHCss1atRI+L+rqytcXV2Fxw8fPkRgYCDWrFkjOc7S5nFGjr1DICIiIiIiomJicWG/c+dOu13pTklJgUKhQIUKFQAAISEhuHfvHhwcHNCyZUvEx8ejRYsWWLx4MZo0aWJ0Hb///jvKlSuHN9980+y2VCoVVCqV8FipVFrtdRARERERERFZi0V97O05+n1WVhamTp2KQYMGwcPDAwAQGRkJAJg9ezZmzJiBPXv2oGLFiujcuTOSkpKMrmfNmjV49913RVfxjVm4cCE8PT2FP19fX+u+IBvSgIMcEhERERERmSK3iqlUjIqfk5ODt99+GxqNBitXrhSmq9X5fcm/+OILvPHGG2jdujXWrl0LhUKBP//802A9Z86cwbVr10TN9k2ZPn06UlJShL/Y2FjrvSAb480LiIiIiIiInh4WNcVfu3YtPD09bRWLUdqi/s6dOwgMDBSu1gNA9erVAYj71Lu4uKBOnTqIiYkxWNfq1avRokULtG7dusDturi4wMXFxQqvoPgdi3ho7xCIiIiIiIiomFh0xb5Dhw64dOmSaNrhw4fRpUsXtGvXDgsWLLBqcNqi/ubNmzh06BAqV64smt+6dWu4uLggIiJC9Jzo6Gj4+fmJlk1LS8Mff/wh6Wp9aZfNUfGJiIiIiIieGhZdsdfeV75du3YAgKioKPTv3x8dO3ZEs2bNsHDhQpQrVw6TJ0+WtL60tDTcunVLeBwVFYXQ0FBUqlQJ1atXx5tvvomQkBDs2bMHeXl5iI+PBwBUqlQJZcqUgYeHB8aOHYtZs2bB19cXfn5+WLx4MQDgrbfeEm1r27ZtyM3NxZAhQyx5yURERERERCQzcuu+bFFhHxQUhM8//1x4vGnTJtSvXx8HDhwAADRr1gw//PCD5MI+KCgIXbp0ER5PmTIFADB8+HDMnj0bu3fvBgC0aNFC9LwjR46gc+fOAIDFixfDyckJQ4cORWZmJvz9/REYGIiKFSuKnrNmzRq8/vrrwoj6cpanltleSkRERERERCYpNBaMiOfq6oobN24II8R369YNzz//PObNmwcAuH37Nlq3bo3k5GSbBGtPSqUSnp6eSElJEfXzL4leWBSIe8mZ9g6DiIiIiIioRDo05SXU8ypv7zDMsqQGtaiPfaVKlXD//n0A+SPSBwUFoX379sL87Oxsu42cT08kpWfbOwQiIiIiIiIqJhYV9p07d8a8efMQGxuL5cuXQ61WC03iAeDq1auoVauWlUMkS2Xm5Nk7BCIiIiIiIiomFvWx/+qrr9CjRw/4+fnB0dER33//Pdzc3IT5GzZsQNeuXa0eJBEREREREREZZ1FhX6tWLVy7dg1XrlxB1apV4ePjI5o/Z84c1KhRw6oBEhEREREREZFpFhX2AODk5ITmzZsbnWdqOhERERERERHZhkWF/euvv250uqenJ+rXr48PPvgAVatWtUpgRERERERERLYhr0HfLRo8z9PT0+hfcnIyfv31VzRo0ADh4eG2ipWIiIiIiIiI9Fh0xX7t2rUm56nVaowaNQrTp0/HP//8U+TAiIiIiIiIiKhgFl2xN7siBwdMnDgRwcHB1lolERERERERERXAaoU9ALi5uSEjI8OaqyQiIiIiIiIiM6xa2AcEBKB+/frWXCURERERERERmWFRH/vdu3cbnZ6SkoLg4GCsXr0aq1evtkpgRERERERERFQwiwr7AQMGGJ3u7u6OBg0aYPXq1Rg4cKA14iIiIiIiIiKyCY287nZnWWGvVqttFQcRERERERERFYJFfewDAwPRqFEjKJVKg3kpKSlo3LgxTpw4YbXgiIiIiIiIiMg8iwr75cuXY9SoUfDw8DCY5+npiTFjxmDp0qVWC46IiIiIiIiIzLOosL906RJ69+5tcn7Pnj15H3siIiIiIiKiYmRRYf/gwQM4OzubnO/k5ISHDx8WOSgiIiIiIiIiksaiwv6ZZ55BeHi4yfmXL19G9erVixwUEREREREREUljUWHft29fzJw5E1lZWQbzMjMzMWvWLLz88stWC44sp1bL7L4NREREREREVia3qsmi293NmDEDO3bsQP369TFhwgQ0aNAAAHD9+nWsWLECeXl5+OKLL2wSKEmTJ7cbMhIREREREZFZFhX21apVw+nTpzFu3DhMnz4dmv+KSIVCgV69emHFihWoVq2aTQIlacLvpdg7BCIiIiIiohKtvItFpXCJZ1FTfADw8/PDvn37kJiYiHPnzuHs2bNITEzEvn37ULt2basGN3v2bCgUCtFfw4YNhfm3b9/Ga6+9hqpVq8LDwwNvv/02Hjx4YLCevXv3wt/fH66urqhYsSIGDBhg1ThLkitxSnuHQEREREREVKJVKe9i7xCsqtCnKSpWrIi2bdtaMxajGjdujEOHDgmPnZzyQ05PT0fPnj3RvHlzBAYGAgBmzpyJ/v374+zZs3BwyD9nsX37dowaNQoLFixA165dkZuba3YAwNLu9zPR9g6BiIiIiIiIilGJb3/g5OQEb29vg+mnTp1CdHQ0Ll68CA8PDwDA+vXrUbFiRQQGBqJ79+7Izc3FpEmTsHjxYowcOVJ4bqNGjYot/uIWm5Rp7xCIiIiIiIioGFncFL+43bx5Ez4+PqhTpw4GDx6MmJgYAIBKpYJCoYCLy5MmFGXLloWDgwNOnjwJAAgJCcG9e/fg4OCAli1bonr16ujTp4+kK/YqlQpKpVL0Vxq4uTjaOwQiIiIiIiIqRiW6sPf398e6deuwf/9+rFy5ElFRUejYsSNSU1PRvn17uLm5YerUqcjIyEB6ejo+/fRT5OXl4f79+wCAyMhIAPl99WfMmIE9e/agYsWK6Ny5M5KSksxue+HChfD09BT+fH19bf56reGDjnVstu5nKrjabN3W1Kl+VXuHQEQS+VYq+ceVps94Fuv26lR1K9bt6evRyL6D4CoU1lvXR13rWW9lhVDVXV79N0uaDnUqG0xzcSrRP20lq1PFvscBa6rnVd7eIRhoVbNCgcsMalc6fvtT4Tk7WvELpwRQaDSl5/5oycnJ8PPzw9KlSzFy5EgcPHgQ48aNQ1RUFBwcHDBo0CBcvXoV7dq1w8qVK7F582YMHjwYP//8M0aPHg0g/0p8jRo1MH/+fIwZM8bktlQqFVQqlfBYqVTC19cXKSkpQtN/uUlISICXl5e9wyArYC7lg7mUF+ZTPphLeWE+5YO5lJenPZ9KpRKenp6SatBSdVqzQoUKqF+/Pm7dugUA6NmzJ27fvo2EhAQkJiZiw4YNuHfvHurUyb9qXb16dQDiPvUuLi6oU6eO0KTfFBcXF3h4eIj+5C4hIcHeIZCVMJfywVzKC/MpH8ylvDCf8sFcygvzKV2pKuzT0tJw+/ZtoWDXqlKlCipUqIDAwEAkJCTglVdeAQC0bt0aLi4uiIiIEJbNyclBdHQ0/Pz8ijX20qByZcMmbVQ6MZfywVzKC/MpH8ylvDCf8sFcygvzKV2JHhX/008/Rf/+/eHn54e4uDjMmjULjo6OGDRoEABg7dq1eO6551C1alWcOXMGkyZNwscff4wGDRoAADw8PDB27FjMmjULvr6+8PPzw+LFiwEAb731lt1eFxEREREREZG1lOjC/u7duxg0aBAePXqEqlWr4sUXX8TZs2dRtWr+4GgRERGYPn06kpKSUKtWLXzxxRf4+OOPRetYvHgxnJycMHToUGRmZsLf3x+BgYGoWLGiRbFohyIoLaPjF8adO3fg5iafwVqeZsylfDCX8sJ8ygdzKS/Mp3wwl/LytOdTW3tKGRavVA2eZ093794tNSPjExERERERkTzExsaiRo0aZpdhYS+RWq1GXFwc3N3dobDmvXhKCO2o/7GxsU/FQIFyxlzKB3MpL8ynfDCX8sJ8ygdzKS/MZ/6V+tTUVPj4+MDBwfzweCW6KX5J4uDgUOBZEjl4Wu4A8DRgLuWDuZQX5lM+mEt5YT7lg7mUl6c9n56enpKWK1Wj4hMRERERERGRGAt7IiIiIiIiolKMhT0BAFxcXDBr1iy4uLjYOxQqIuZSPphLeWE+5YO5lBfmUz6YS3lhPi3DwfOIiIiIiIiISjFesSciIiIiIiIqxVjYExEREREREZViLOyJiIiIiIiISjEW9kRERERERESlGAt7IiIiIiIiolKMhT0RERERERFRKcbCnoiIiIiIiKgUY2FPREREREREVIqxsCciIiIiIiIqxVjYExEREREREZViLOyJiIiIiIiISjEW9kRERERERESlGAt7IiIiIiIiolLMyd4BlBZqtRpxcXFwd3eHQqGwdzhEREREREQkYxqNBqmpqfDx8YGDg/lr8izsJYqLi4Ovr6+9wyAiIiIiIqKnSGxsLGrUqGF2GRb2Erm7uwPIf1M9PDzsHI1tpKSkwNPT095hkBUwl/LBXMoL8ykfzKW8MJ/ywVzKy9OeT6VSCV9fX6EWNYeFvUTa5vceHh6yLexjYmLYKkEmmEv5YC7lhfmUD+ZSXphP+WAu5YX5zCelKzgHzyNB+fLl7R0CWQlzKR/Mpbwwn/LBXMoL8ykfzKW8MJ/SsbA3QaVSQalUiv7krsS2RNBo8v+01HnieXm5lq9Tdx1q9ZP1aKfrbxMoeDsazZPnq9Umtqs2vl7ttLwcIDvjyWN1nni+7rbMxOfh4ZG/Le2f9jm5KtOxSaH/3uvHoC8vJz8u3fdOrTb+mnTnS4pFbzl1HpCTqbPtXDN5yDM+XXfd2mW0savzDJ+nu/9pNE+2p/veq/OMx6qdbirH/xFyaWo/0F23sC/nPIk9N9vM69S+xhzj8/S3Z/A61IafG+003eWN5UH/vczNNpxmLAbdbRtbr248xujHaOz16K5Ld3pB+7vROMX7jYeHx3+fRSN5Mbav6H7OTMWsG5d2v9fGa+64ZSyfQk7V4ve/MMda/eOpfl5MvR795wifFTPHBtHnIM/4vwXFaGoboliezBe+M03tp+a+T6xJnZf/GRbi1HkPhc9gnuHnXMizzjLG1q3dV829Dv33Tfe4qd3fC8qhELNOHFL2ubwcad8buq9f97v6v33M5G8g7WvQxmJqvzX1Hmjna49Not8fRt5zSz5n+svqfm/l5Tx5zbrHG2PfU/qvRf+x/nP0adevv07912rsu8bU69I/thWUY2OfTVPfK6LjvJH9x9j3SGF+a+rGplZLe/3a73Ap+7Sx35T683W/u4wdh03Rfb26n2Gzcevt84DOvlHA8dDYd9l/JNcn+r/B9depjVGb36LktIRiU3wTFi5ciDlz5tg7jGIVFxeHSpUqFbygRgP80BpIum37oEq6l5cDeybbOwoDErJY/Dp9BhxfXPT1eDcF4sOKvh4AqNMFiDxS9PU0fxe4tLno6zGiROaSCs0gn03fAsL+tM7KFY6ARuKPNiqyUvvZfO0XYOdoe0dR4pSKfDqWAfLMnKwFgOc/Ak7/UDzxlFBWy2WXL4AjX1lrbZar2hB4eN0665Ky75REjmVQyZZxz06x3brtQKHR2PI0cumlUqmgUqmEx9qBC1JSUkrule0iiomJQc2aNQ1npNwFljUu/oCIiIiIiIhsYVoMULZkD8ynVCrh6ekpqQblFXsTXFxc4OLiYu8wilW5cuUMJ24ZBETsK/5giIiIiIiISBIW9iSIj49HlSpVgHvBwK9d7R0OERERERERScDB80hQsWJFQHmfRT0REREREVEpwiv2JHB2dgaWPmvvMIiIiIiIiMgCvGJPAq+fWNQTERERERGVNizsCYgLBWaX7BEhiYiIiIiIyDgW9k87jQb45SV7R0FERERERFR8ZHbXdxb2T7s5FewdARERERERERWBxYPnaTQaBAcHIzo6GgqFArVr10bLli2hUChsER8RERERERERmWFRYX/kyBGMHDkSd+7cgea/pgva4v63335Dp06dbBIk2Uhejr0jICIiIiIioiKS3BT/1q1bePnll1GrVi3s2LED165dw9WrV/Hnn3+iRo0a6Nu3LyIjI20ZK1nb7on2joCIiIiIiIiKSKHRSBs1YMKECbh27RoOHz5sME+j0aB79+5o1KgRfvjhB6sHWRIolUp4enoiJSUFHh4e9g7HOjgSPhERERERPY2m3gFcK9g7CrMsqUElX7E/evQoJk+ebHSeQqHA5MmTceTIEYsCJSIiIiIiIip2mY/tHYFVSS7sY2Ji0LRpU5PzmzRpgjt37lglKCoGD67aOwIiIiIiIiL7UOfaOwKrklzYp6WloVy5cibnlytXDhkZGVYJiorByg72joCIiIiIiMg+ZHYfe4tGxb969Sri4+ONzktMTLRKQFQMVr5g7wiIiIiIiIjISiwq7Lt16wZjY+0pFApoNBrey740yMkEHoTbOwoiIiIiIiKyEsmFfVRUlC3joOLylbe9IyAiIiIiIiIrklzY+/n52TIOIiIiIiIiIioEyYX95cuXJS3XrFmzQgdDRERERERERJaRXNi3aNFC6EtvikKhQF5enlUCIyIiIiIiIqKCSb7dXVRUFCIjIxEVFWXyLzIy0qKN16pVCwqFwuBv/PjxAID4+HgMHToU3t7ecHNzQ6tWrbB9+/YC17Fo0SJhfkREBLp06YJq1aqhbNmyqFOnDmbMmIGcnByLYpWFx9H2joCIiIiIiKgEeEpvd2dpH/sPP/wQc+fORZUqVUwuc+HCBdEV/vDwcPTo0QNvvfUWAGDYsGFITk7G7t27UaVKFWzevBlvv/02goKC0LJlS+F5c+fOxahRo4TH7u7uwv+dnZ0xbNgwtGrVChUqVMClS5cwatQoqNVqLFiwwKLXVOqd/9XeERAREREREZGVWXS7O0ts3LgRn376qdnCvmrVqqLHixYtQt26dfHSSy8BAE6fPo2VK1eiXbt2AIAZM2Zg2bJlCA4OFhX27u7u8PY2Ptp7nTp1UKdOHeGxn58fjh49ihMnThT6tZVaZ360dwRERERERERkZZKb4lvKXF98Y7Kzs7Fx40aMGDECCoUCAPD8889j27ZtSEpKglqtxtatW5GVlYXOnTuLnrto0SJUrlwZLVu2xOLFi5Gbm2tyO7du3cL+/fuFkwdERERERET0tFHYOwCrstkVe0vt2rULycnJeO+994Rpf/zxB9555x1UrlwZTk5OKFeuHHbu3Il69eoJy0ycOBGtWrVCpUqVcPr0aUyfPh3379/H0qVLRet//vnnERISApVKhdGjR2Pu3Llm41GpVFCpVMJjpVJpnRdKREREREREZEUlprBfs2YN+vTpAx8fH2HazJkzkZycjEOHDqFKlSrYtWsX3n77bZw4cQJNmzYFAEyZMkVYvlmzZihTpgzGjBmDhQsXwsXFRZi3bds2pKam4tKlS/jss8+wZMkSfP755ybjWbhwIebMmWODV0pERERERERkPQqNpW3mJXJ3d8elS5dE/dtNuXPnDurUqYMdO3bg1VdfBQDcvn0b9erVQ3h4OBo3biws2717d9SrVw+rVq0yuq4rV66gSZMmuH79Oho0aGB0mY0bN2L06NFITU2Fo6Oj0WWMXbH39fVFSkoKPDw8CnxNJdJsT3tHQEREREREZH/jLwBV69s7CrOUSiU8PT0l1aAl4or92rVr4eXlhX79+gnTMjIyAAAODuJhABwdHaFWq02uKzQ0FA4ODvDy8jK5jFqtRk5ODtRqtcnC3sXFRXTFn4iIiIiIiKgkslphn5ycjH379uHdd98FAAwZMkTSlW21Wo21a9di+PDhcHJ6Ek7Dhg1Rr149jBkzBkuWLEHlypWxa9cuBAQEYM+ePQCAM2fO4Ny5c+jSpQvc3d1x5swZfPzxxxgyZAgqVqwIANi0aROcnZ3RtGlTuLi4ICgoCNOnT8c777wDZ2dna738ks82DTOIiIiIiIhKIXnVR1Yr7O/cuYOhQ4cKhf3KlSslPe/QoUOIiYnBiBEjRNOdnZ2xb98+TJs2Df3790daWhrq1auH9evXo2/fvgDyr6pv3boVs2fPhkqlQu3atfHxxx+L+t07OTnh66+/xo0bN6DRaODn54cJEybg448/ttIrLyXSE+0dAREREREREdmA1frYX7p0Ca1atUJeXp41VlfiWNK/oUS6tBXYOcbeURAREREREdnf+PNAVeNjspUUltSgNruPPZUw5362dwRERERERERkAyzsnxZxIfaOgIiIiIiIiGxAch/777//3uz8e/fuFTkYIiIiIiIiIrKM5MJ+2bJlBS5Ts2bNIgVDRERERERERJaRXNhHRUXZMg4iIiIiIiIiKgSr9bFPTk7Gjz/+aK3VEREREREREZEERS7sDx8+jHfffRfVq1fHrFmzrBETWZtanrcgJCIiIiIiokIW9rGxsZg7dy5q166Nnj17QqFQYOfOnYiPj7d2fGQN1/6xdwRERERERERkI5IL+5ycHPz555/o1asXGjRogNDQUCxevBgODg744osv0Lt3bzg7O9syViqsP4fbOwIiIiIiIiKyEcmD5z3zzDNo2LAhhgwZgq1bt6JixYoAgEGDBtksOLICjcbeERAREREREZENSb5in5ubC4VCAYVCAUdHR1vGRNa0pL69IyAiIiIiIiIbklzYx8XFYfTo0diyZQu8vb3xxhtvYOfOnVAoFLaMj4oqPcHeERAREREREZENSS7sy5Yti8GDByMwMBBhYWF47rnnMHHiROTm5uKrr75CQEAA8vI4+joRERERERFRcSrUqPh169bF/PnzcefOHezduxcqlQovv/wyqlWrZu34iIiIiIiIiMgMyYPnGePg4IA+ffqgT58+ePjwITZs2GCtuMga8nLtHQERERERERHZWKGu2BtTtWpVTJkyxVqrI2u4f8neERAREREREZGNSb5iX7t27QIHylMoFLh9+3aRgyIrufi7vSMgIiIiIiIqgeQ1CLzkwn7y5Mkm50VHR+Pnn3+GSqWyaOO1atXCnTt3DKZ/+OGHmDdvHmbNmoWDBw8iJiYGVatWxYABAzBv3jx4enoKy8bExGDcuHE4cuQIypcvj+HDh2PhwoVwcjJ8aadOncJLL72EJk2aIDQ01KJYS6XgdfaOgIiIiIiIiGxMcmE/adIkg2lJSUmYN28eVq5cCX9/f3z99dcWbfzChQuikfTDw8PRo0cPvPXWW4iLi0NcXByWLFmCRo0a4c6dOxg7dizi4uLw119/AQDy8vLQr18/eHt74/Tp07h//z6GDRsGZ2dnLFiwQLSt5ORkDBs2DN26dcODBw8sipOIiIiIiIiopFJoNBqNpU/KzMzE0qVLsWTJEvj5+WHBggXo27dvkYOZPHky9uzZg5s3bxpt9v/nn39iyJAhSE9Ph5OTE/7991+8/PLLiIuLE0bkX7VqFaZOnYqHDx+iTJkywnMHDhyIZ599Fo6Ojti1a5fFV+yVSiU8PT2RkpICDw+PIr3OYjPbs+BliIiIiIiInjbjLwBV69s7CrMsqUEtGjwvLy8Pq1atQp06dbB69Wp8//33uHjxolWK+uzsbGzcuBEjRoww2Zdf+4K0zezPnDmDpk2bim6z16tXLyiVSly5ckWYtnbtWkRGRmLWrFmS41GpVFAqlaI/IiIiIiIikgOLr2+XaJKb4v/xxx+YMWMGkpOT8cUXX2DcuHGiK+JFtWvXLiQnJ+O9994zOj8xMRHz5s3D6NGjhWnx8fGioh6A8Dg+Ph4AcPPmTUybNg0nTpww2u/elIULF2LOnDkWvgoiIiIiIiKi4iW50h04cCBcXV0xaNAg3LlzB9OmTTO63NKlSwsVyJo1a9CnTx/4+PgYzFMqlejXrx8aNWqE2bNnS15nXl4e3n33XcyZMwf161vWzGL69Omi2/cplUr4+vpatA4iIiIiIiIiW5Nc2Hfq1KnA29kVdDs8U+7cuYNDhw5hx44dBvNSU1PRu3dvuLu7Y+fOnXB2dhbmeXt74/z586LltQPjeXt7IzU1FUFBQbh48SImTJgAAFCr1dBoNHBycsLBgwfRtWtXozG5uLjAxcWlUK+HiIiIiIiIqLhILuyPHj1qsyDWrl0LLy8v9OvXTzRdqVSiV69ecHFxwe7du1G2bFnR/A4dOuCrr75CQkICvLy8AAABAQHw8PBAo0aN4OzsjLCwMNFzfvrpJwQGBuKvv/5C7dq1bfaaiIiIiIiIiIqD9E7nNqJWq7F27VoMHz5c1AdeqVSiZ8+eyMjIwMaNG0UD2FWtWhWOjo7o2bMnGjVqhKFDh+Kbb75BfHw8ZsyYgfHjxwtX25s0aSLanpeXF8qWLWswnYiIiIiIiKg0klzY6/Y3N8fSPvaHDh1CTEwMRowYIZoeEhKCc+fOAQDq1asnmhcVFYVatWrB0dERe/bswbhx49ChQwe4ublh+PDhmDt3rkUxEBEREREREZVWku9j36VLl4JXplAgMDCwyEGVRLyPPRERERERkUyMPw9UbWDvKMyypAaVfMX+yJEjRQ6MiIiIiIiIiKzLwd4BkI2o1faOgIiIiIiIiIqB5Cv2Uvutf/nll4UOhqxJUg8LIiIiIiIiKuUkF/azZ8+Gj48PvLy8YKpbvkKhYGFfUqQ/tHcEREREREREVAwkF/Z9+vRBYGAg2rRpgxEjRuDll1+GgwNb8pdYiTftHQEREREREREVA8mV+d69e3H79m34+/vjs88+wzPPPIOpU6ciIiLClvERERERERERkRkWXXL38fHB9OnTERERgW3btiEhIQFt27bFCy+8gMzMTFvFSIVxL8jeERAREREREVExkNwUX1/btm0RHR2Nq1ev4uLFi8jJyYGrq6s1Y6OiiDph7wiIiIiIiIhKJhPjxpVWFneSP3PmDEaNGgVvb2/88MMPGD58OOLi4uDh4WGL+KjQ5LWjEhERERERkXGSr9h/8803WLduHRITEzF48GCcOHECzZo1s2VsVBS3A+0dARERERERERUDyYX9tGnTULNmTbz99ttQKBRYt26d0eWWLl1qrdiIiIiIiIiIqACSC/tOnTpBoVDgypUrJpdRKBRWCYqIiIiIiIiIpJFc2B89etSGYRAREREREREVE5ldlLZ48DxzgoJ4izUiIiIiIiKi4mRxYZ+WlmZwz/rQ0FD0798f/v7+VguMiIiIiIiIiAomubCPjY1Fhw4d4OnpCU9PT0yZMgUZGRkYNmwY/P394ebmhtOnT9syViIiIiIiIiLSI7mw/+yzz5CVlYXvvvsOL774Ir777ju89NJL8PDwwO3bt7F161aLr9jPnj0bCoVC9NewYUMAQFJSEj766CM0aNAArq6uqFmzJiZOnIiUlBTh+ZcuXcKgQYPg6+sLV1dXPPfcc/juu+9E2zh69KjBNhQKBeLj4y2KlYiIiIiIiKgkkjx43vHjx7Fjxw60b98eb7/9Nry9vTF48GBMnjy5SAE0btwYhw4dehKQU35IcXFxiIuLw5IlS9CoUSPcuXMHY8eORVxcHP766y8AQHBwMLy8vLBx40b4+vri9OnTGD16NBwdHTFhwgTRdiIiIuDh4SE89vLyKlLcRERERERERCWB5ML+wYMHqF27NoD8orhcuXLo06dP0QNwcoK3t7fB9CZNmmD79u3C47p16+Krr77CkCFDkJubCycnJ4wYMUL0nDp16uDMmTPYsWOHQWHv5eWFChUqFDleIiIiIiIiopLEosHzHBwcRP8vU6ZMkQO4efMmfHx8UKdOHQwePBgxMTEml01JSYGHh4dwVd/UMpUqVTKY3qJFC1SvXh09evTAqVOnihw3ERERERERUUkg+Yq9RqNB/fr1ofjvfn9paWlo2bKlqNgH8vvGS+Xv749169ahQYMGuH//PubMmYOOHTsiPDwc7u7uomUTExMxb948jB492uT6Tp8+jW3btmHv3r3CtOrVq2PVqlVo06YNVCoVVq9ejc6dO+PcuXNo1aqVyXWpVCqoVCrhsVKplPy6iIiIiIiIiIqLQqPRaKQsuH79ekkrHD58eKGDSU5Ohp+fH5YuXYqRI0cK05VKJXr06IFKlSph9+7dcHZ2NnhueHg4unTpgkmTJmHGjBlmt/PSSy+hZs2a2LBhg8llZs+ejTlz5hhM17YaKPFme9o7AiIiIiIiopJp/HmgagN7R2GWUqmEp6enpBpU8hX7ohTsUlWoUAH169fHrVu3hGmpqano3bs33N3dsXPnTqNF/dWrV9GtWzeMHj26wKIeANq1a4eTJ0+aXWb69OmYMmWK8FipVMLX19eCV0NEREREREQlkrTr26WG5D7258+fR15ensn5KpUKf/zxR5GCSUtLw+3bt1G9enUA+cV0z549UaZMGezevRtly5Y1eM6VK1fQpUsXDB8+HF999ZWk7YSGhgrbMMXFxQUeHh6iPyIiIiIiIqKSRnJh36FDBzx69Eh47OHhgcjISOFxcnIyBg0aZNHGP/30Uxw7dgzR0dE4ffo0XnvtNTg6OmLQoEFCUZ+eno41a9ZAqVQiPj4e8fHxwgkGbfP7nj17YsqUKcL8hw8fCttYvnw5/v77b9y6dQvh4eGYPHkyAgMDMX78eItiJSIiIiIiIpn4b+w4ubBo8Dxzj01NM+fu3bsYNGgQHj16hKpVq+LFF1/E2bNnUbVqVRw9ehTnzp0DANSrV0/0vKioKNSqVQt//fUXHj58iI0bN2Ljxo3CfD8/P0RHRwMAsrOz8cknn+DevXsoV64cmjVrhkOHDqFLly4WxUpERERERERUEkkePM/BwQHx8fHw8vICALi7u+PSpUuoU6cOgPz73Pv4+Jhtrl+aWTJwgd2p1cDcivaOgoiIiIiIqGSS2eB5Ft3HnkoLeQ0EQURERERERKZJbooP5I8+Hx8fDyC/2f3169eRlpYGIP8+81RC5OXYOwIiIiIiIiIqJhYV9t26dRP1o3/55ZcBAAqFAhqNBgqZDUBQat29YO8IiIiIiIiISi6Z3e5OcmEfFRVlyzjIquS1kxIREREREZFpkgv79evX49NPP0W5cuVsGQ9ZQ3KsvSMgIiIiIiKiYiJ58Lw5c+YI/emphLuy094REBERERERUTGRXNhbeo96siM1B88jIiIiIiJ6Wlh0uzsOjldKRB61dwRERERERERUTCwaFb9+/foFFvdJSUlFCoiIiIiIiIiIpLOosJ8zZw48PT1tFQsRERERERERWciiwn7gwIHw8vKyVSxERERERERExUBeY8hJ7mPP/vVEREREREREJQ9HxSciIiIiIiIqxSQ3xVer1baMg4iIiIiIiIgKwaLb3RERERERERFRycLCnoiIiIiIiKgUY2FPREREREREVIrZtbBfuXIlmjVrBg8PD3h4eKBDhw74999/hfm//PILOnfuDA8PDygUCiQnJxuso1atWlAoFKK/RYsWiZbRaDRYsmQJ6tevDxcXFzzzzDP46quvbP3y7EOdZ+8IiIiIiIiIqBhZdB97a6tRowYWLVqEZ599FhqNBuvXr8err76KixcvonHjxsjIyEDv3r3Ru3dvTJ8+3eR65s6di1GjRgmP3d3dRfMnTZqEgwcPYsmSJWjatCmSkpKQlJRks9dlV5nJ9o6AiIiIiIioZKtS394RWJVdC/v+/fuLHn/11VdYuXIlzp49i8aNG2Py5MkAgKNHj5pdj7u7O7y9vY3Ou3btGlauXInw8HA0aNAAAFC7du0ix15iXd5q7wiIiIiIiIhKNgdHe0dgVSWmj31eXh62bt2K9PR0dOjQwaLnLlq0CJUrV0bLli2xePFi5ObmCvP++ecf1KlTB3v27EHt2rVRq1YtfPDBBwVesVepVFAqlaK/UuFxtL0jICIiIiIiomJk98I+LCwM5cuXh4uLC8aOHYudO3eiUaNGkp8/ceJEbN26FUeOHMGYMWOwYMECfP7558L8yMhI3LlzB3/++Sd+//13rFu3DsHBwXjzzTfNrnfhwoXw9PQU/nx9fQv9GouVrz/g3ezJ464zgC5fiJepUh8Y/Jd42qRL4sdejYBhu8XT3LwA14riae/tM4yh2cAn/28xBHhpGlC/j/m4u88GancST+u3FOgw4cnjmh2AVsMMn9vpSb7R8VNg3BnDZQZvf/L/Op2B+r0Nl2nyhvjxxItA76/F097bm/8+aL39O+DoIl7Gt73hul/82PBx5WfF07p9afg8/SZC5asZLvNsL6Dl0CePdfOv9f6/wHOviKe9s0n8+LVfDJ9n9L3U23c6fQY00fs89ZwvfuxeHShXWTzNzQsYsFI8relbhtvT120WULfrk8e1XwJGHTHcvruPeJr/OPHj134B6nQRT6tUR/z4hcmG70ujV4Ey5cXbN6ZsBfHjKg2Axq89eawwcvh95QeDSWoXT/GEZ3uJP2MA8PJyw3UN3ALUaPvkcavhQL0eTx6X9wb+d1/8nEYDxK/Hs2b+tILo70umpulzq2o4re0o8WNjn9W3NwDT7wKV6uY/bvw6MOKAeBn/sUCNdk8eu/sAPfXGVqnTBej/nXha49eAobvE0/p8Iz6GDdkBDNwsXub5ieLHNZ8H2n5gcHwwyOdb68SPKz9reCzq/31+/nQ/2yMDxMsYOzY2fFn8uGItw2X6f2e4j38RL467yRv5n3NzarQFqjc3nF6tqfjx+/vFj6s+Jz72u1UFWr+X/92hq/tsw3V3/FT8WP/42GWGeB/Qci735P+OZfKPjTWffzJt6C6gVkfxcyYEAVUbiiYlv6BzzHatBLz6k+HzBm0z3H6zgeLPmf5xr3w1YPg/4mldZ4rXrXAABhlpoaf7XQDk58TJVTytXOX8z4eW3usS6B7Hn2kj/j7Weu1n8WNjedI3bDeg/zkYe0r8uGItwNnNMPbW74sfa48BWq/8mL//aNXvY/j9ZEy70ch65gXxNP1c1u8NfBQintZrgeE+XlGvVWjvRUCbEeJp+vu3lkLn6mGXLwCfVk8e1+4EvDBJ/HqG/5P/PSU83wF4/iPD9TZ+XfzY2G+3N38znFa3m/hx07cNlxlxUPzYT+99rFQX+DxKPO3t3/M/+/p098VXVwAzEsTzRx4COut0za3TxfB3WpcZeNh/o3ha/++BUYHiab7txa+v8WuGx7nucwxjNLY/Dftb/LjVcMNl9NXpnJ9PLd3fFVq6xyWtt9aLHzd61XAZ/WOhR4383/leevVVm5F6615nuK5eCwyn6eu7RJyXclUAr8biZT65Yfh7qaXe56BKA8N1v/sHsmq8KJ7W71vx4wGrDJ/X+X/ix21GGH42Prlh+LxSTqHRaDT2DCA7OxsxMTFISUnBX3/9hdWrV+PYsWOi4v7o0aPo0qULHj9+jAoVKphd32+//YYxY8YgLS0NLi4uGD16NH799VdERESgfv38IikkJAStW7fG9evXheb5+lQqFVQqlfBYqVTC19cXKSkp8PDwKPoLL4ESEhLg5eVV8IJU4jGX8sFcygvzKR/Mpbwwn/LBXMrL055PpVIJT09PSTWo3a/YlylTBvXq1UPr1q2xcOFCNG/eHN99913BTzTB398fubm5iI6OBgBUr14dTk5OQlEPAM89l3+WMCYmxuR6XFxchNH6tX9yl5CQUPBCVCowl/LBXMoL8ykfzKW8MJ/ywVzKC/Mpnd0Le31qtVp0pdxSoaGhcHBwEM7svPDCC8jNzcXt27eFZW7cyG964efnV7RgZaZy5coFL0SlAnMpH8ylvDCf8sFcygvzKR/Mpbwwn9LZdVT86dOno0+fPqhZsyZSU1OxefNmHD16FAcO5PeVjI+PR3x8PG7dugUgvz++u7s7atasiUqVKuHMmTM4d+4cunTpAnd3d5w5cwYff/wxhgwZgooV8/uCd+/eHa1atcKIESOwfPlyqNVqjB8/Hj169BBdxSciIiIiIiIqjexa2CckJGDYsGG4f/8+PD090axZMxw4cAA9euQP8LRq1SrMmfNk4IpOnfIH2Fm7di3ee+89uLi4YOvWrZg9ezZUKhVq166Njz/+GFOmTBGe4+DggH/++QcfffQROnXqBDc3N/Tp0wfffqs38EIBtEMRlJrR8Qvhzp07cHNzs3cYZAXMpXwwl/LCfMoHcykvzKd8MJfy8rTnU1t7ShkWz+6D55UWd+/eLT0j4xMREREREZEsxMbGokaNGmaXYWEvkVqtRlxcHNzd3aFQKOwdjtVpR/2PjY19KgYKlDPmUj6YS3lhPuWDuZQX5lM+mEt5YT7zr9SnpqbCx8cHDg7mh8eza1P80sTBwaHAsyRy8LTcAeBpwFzKB3MpL8ynfDCX8sJ8ygdzKS9Pez49PT0lLVfiRsUnIiIiIiIiIulY2BMRERERERGVYizsCQDg4uKCWbNmwcXFxd6hUBExl/LBXMoL8ykfzKW8MJ/ywVzKC/NpGQ6eR0RERERERFSK8Yo9ERERERERUSnGwp6IiIiIiIioFGNhT0RERERERFSKsbAnIiIiIiIiKsVY2BMRERERERGVYizsiYiIiIiIiEoxFvZEREREREREpRgLeyIiIiIiIqJSjIU9ERERERERUSnGwp6IiIiIiIioFGNhT0RERERERFSKsbAnIiIiIiIiKsVY2BMRERERERGVYk72DqC0UKvViIuLg7u7OxQKhb3DISIiIiIiIhnTaDRITU2Fj48PHBzMX5NnYS9RXFwcfH197R0GERERERERPUViY2NRo0YNs8uwsJfI3d0dQP6b6uHhYedobCMlJQWenp72DoOsgLmUD+ZSXphP+WAu5YX5lA/mUl6e9nwqlUr4+voKtag5LOwl0ja/9/DwkG1hHxMTw1YJMsFcygdzKS/Mp3wwl/LCfMoHcykvzGc+KV3BOXgeCcqXL2/vEMhKmEv5YC7lhfmUD+ZSXphP+WAu5YX5lI6FPQnk2hLhacRcygdzKS/Mp3wwl/LCfMoHcykvUvP5IP0BVHkqG0dTsrGwJ0FcXJy9QyArYS7lg7mUF+ZTPphLeWE+5YO5lBep+ey/qz923txp42hKNhb2JOAZTvlgLuWDuZQX5lM+mEt5YT7lg7mUF6n5zFXnQgONjaMp2VjYk6BcuXL2DoGshLmUD+ZSXphP+WAu5YX5lA/mUl6YT+lY2JMgPj7e3iGQlTCX8sFcygvzKR/Mpbwwn/LBXMoL8ykdC3sSVKxY0d4hkJUwl/LBXMoL8ykfzKW8MJ/ywVzKi9R8Pu3N8AE7F/YLFy5E27Zt4e7uDi8vLwwYMAARERFGl9VoNOjTpw8UCgV27dolmhcTE4N+/fqhXLly8PLywmeffYbc3FzRMkePHkWrVq3g4uKCevXqYd26dTZ6VaWXs7OzvUMgK2Eu5YO5lBfmUz6YS3lhPuWDuZQXS/KpQMH3epczuxb2x44dw/jx43H27FkEBAQgJycHPXv2RHp6usGyy5cvh0JhmKy8vDz069cP2dnZOH36NNavX49169bhyy+/FJaJiopCv3790KVLF4SGhmLy5Mn44IMPcODAAZu+vtImISHB3iGQlTCX8sFcygvzKR/Mpbwwn/LBXMoL8ymdkz03vn//ftHjdevWwcvLC8HBwejUqZMwPTQ0FN9++y2CgoJQvXp10XMOHjyIq1ev4tChQ6hWrRpatGiBefPmYerUqZg9ezbKlCmDVatWoXbt2vj2228BAM899xxOnjyJZcuWoVevXrZ/oaVE5cqV7R0CWQlzKR/Mpbwwn/LBXMoL8ykfzKW8MJ/Slag+9ikpKQCASpUqCdMyMjLw7rvvYsWKFfD29jZ4zpkzZ9C0aVNUq1ZNmNarVy8olUpcuXJFWKZ79+6i5/Xq1QtnzpyxxcsgIiIiIiIiKjYlprBXq9WYPHkyXnjhBTRp0kSY/vHHH+P555/Hq6++avR58fHxoqIegPBYO4qiqWWUSiUyMzONrlelUkGpVIr+5O7Ro0f2DoGshLmUD+ZSXphP+WAu5YX5lA/mUl4k55Nj59m3Kb6u8ePHIzw8HCdPnhSm7d69G4GBgbh48WKxx7Nw4ULMmTOn2LdrT15eXvYOgayEuZQP5lJemE/5YC7lhfmUD+ay9NkftR/ODs7o5tfNYJ4l+eTgeSXAhAkTsGfPHhw5cgQ1atQQpgcGBuL27duoUKECnJyc4OSUfx7ijTfeQOfOnQEA3t7eePDggWh92sfapvumlvHw8ICrq6vRmKZPn46UlBThLzY21iqvtSTLycmxdwhkJcylfDCX8sJ8ygdzKS/Mp3wwl6XPjps7sC9qn9F5zKd0kgv733//HSqVyqob12g0mDBhAnbu3InAwEDUrl1bNH/atGm4fPkyQkNDhT8AWLZsGdauXQsA6NChA8LCwkQjJgYEBMDDwwONGjUSljl8+LBo3QEBAejQoYPJ2FxcXODh4SH6k7vHjx/bOwSyEuZSPphLeWE+5YO5lBfmUz6YS3lhPqWT3BT//fffR+/eva3avGX8+PHYvHkz/v77b7i7uwt94j09PeHq6gpvb2+jA+bVrFlTOAnQs2dPNGrUCEOHDsU333yD+Ph4zJgxA+PHj4eLiwsAYOzYsfjxxx/x+eefY8SIEQgMDMQff/yBvXv3Wu21yIGx95pKJ+ZSPphLeWE+5YO5lBfmUz6YS3mRmk8NO9lLv2Kv0Vj/zVq5ciVSUlLQuXNnVK9eXfjbtm2b5HU4Ojpiz549cHR0RIcOHTBkyBAMGzYMc+fOFZapXbs29u7di4CAADRv3hzffvstVq9ezVvd6cnIyLB3CGQlzKV8MJfywnzKB3MpL8ynfDCX8mJJPhWKp7uPvUWD51n7zSrMyQJjz/Hz88O+fcb7ZWh17tzZLoPwlSZPw8j/TwvmUj6YS3lhPuWDuZQX5lM+mEt5YT6ls6iw79atmzCAnSkhISFFCojsx8fHx94hkJUwl/LBXMoL8ykfzKW8MJ/ywVyWPuaa0TOf0llU2Pfq1Qvly5e3VSxkZ0qlEpUqVbJ3GGQFzKV8MJfywnzKB3MpL8ynfDCXpZOpluHWyOf2G9vxRv03irSO0sCiwv6zzz7jvSFlLC0tzd4hkJUwl/LBXMoL8ykfzKW8MJ/ywVzKi9R8mrvqP/vM7KeisJc8eN7TPhjB08DX19feIZCVMJfywVzKC/MpH8ylvDCf8sFcygvzKZ1dR8WnkiUxMdHeIZCVMJfywVzKC/MpH8ylvDCf8sFcygvzKZ3kwj4qKgpVq1a1ZSxkZ5mZmfYOgayEuZQP5lJemE/5YC7lhfmUD+ZSXphP6ST3sV+/fr2k5b788stCB0P25efnZ+8QyEqYS/lgLuWF+ZQP5lJemE/5YC5LH3P946Xmk63LLSjsd+7caXKeQqFAREQEsrKyWNiXYvHx8XB3d7d3GGQFzKV8MJfywnzKB3MpL8ynfDCXpZMCxsdzsySfT/uYcJIL+4sXLxqdHhoaimnTpiE8PByjRo2yWmBU/FQqlb1DICthLuWDuZQX5lM+mEt5YT7lg7mUF+ZTOsl97PVFRUVhyJAhaNu2LTw9PXHlyhWsWrXKmrFRMatTp469QyArYS7lg7mUF+ZTPphLeWE+5YO5lBfmUzqLC/vExER89NFHaNiwIe7fv4/Tp09j27ZtePbZZ20RHxWjmJgYe4dAVsJcygdzKS/Mp3wwl/LCfMoHcykvzKd0kpvip6enY8mSJVi6dCnq1auHf/75Bz179rRlbFTMcnNz7R0CWQlzKR/Mpbwwn/LBXMoL8ykfzKW8SM2nuQH4nhaSC/u6desiNTUVH330EQYNGgSFQoHLly8bLNesWTOrBkjFp169evYOgayEuZQP5lJemE/5YC7lhfmUD+ZSXizJp6kB+J4WkpviJyQkIDMzE9988w1atWqFFi1aCH8tW7YU/qXSKzIy0t4hkJUwl/LBXMoL8ykfzKW8MJ/ywVyWQhrTRTnzKZ3kwj4qKkr4i4yMNPrY0jf++PHj6N+/P3x8fKBQKLBr1y7R/LS0NEyYMAE1atSAq6srGjVqZDBAX1ZWFsaPH4/KlSujfPnyeOONN/DgwQPRMjExMejXrx/KlSsHLy8vfPbZZ2ymY4RarbZ3CGQlzKV8MJfywnzKB3MpL8ynfDCX8sJ8Sie5Kb6fn5/VN56eno7mzZtjxIgReP311w3mT5kyBYGBgdi4cSNq1aqFgwcP4sMPP4SPjw9eeeUVAMDHH3+MvXv34s8//4SnpycmTJiA119/HadOnQIA5OXloV+/fvD29sbp06dx//59DBs2DM7OzliwYIHVX1Np1qBBA3uHQFbCXMoHcykvzKd8MJfywnzKB3MpL8yndJIL+927dxud7unpifr166N69eoWb7xPnz7o06ePyfmnT5/G8OHD0blzZwDA6NGj8fPPP+P8+fN45ZVXkJKSgjVr1mDz5s3o2rUrAGDt2rV47rnncPbsWbRv3x4HDx7E1atXcejQIVSrVg0tWrTAvHnzMHXqVMyePRtlypSxOG65ioiIQJMmTewdBlkBcykfzKW8MJ/ywVzKC/MpH8ylvFiSz6e9j73kwn7AgAEm5ykUCgwcOBC//vorypUrZ424AADPP/88du/ejREjRsDHxwdHjx7FjRs3sGzZMgBAcHAwcnJy0L17d+E5DRs2RM2aNXHmzBm0b98eZ86cQdOmTVGtWjVhmV69emHcuHG4cuUKxwUgIiIiIiKiUk1yH3u1Wm307/HjxwgICEBISAjmz59v1eB++OEHNGrUCDVq1ECZMmXQu3dvrFixAp06dQIAxMfHo0yZMqhQoYLoedWqVUN8fLywjG5Rr52vnWeKSqWCUqkU/ckdm7rIB3MpH8ylvDCf8sFcygvzKR/MZSll4mI78ymd5MLeFE9PT3Tt2hXLli3Djh07rBGT4IcffsDZs2exe/duBAcH49tvv8X48eNx6NAhq27HmIULF8LT01P48/X1tfk27S0iIsLeIZCVMJfywVzKC/MpH8ylvDCf8sFclj7m7kHPfEpX5MJeq2HDhrh79661VofMzEz873//w9KlS9G/f380a9YMEyZMwDvvvIMlS5YAALy9vZGdnY3k5GTRcx88eABvb29hGf1R8rWPtcsYM336dKSkpAh/sbGxVnttRERERERElO9p7x9vDVYr7CMjI+Hj42Ot1SEnJwc5OTlwcBCH6OjoKNz2oHXr1nB2dsbhw4eF+REREYiJiUGHDh0AAB06dEBYWBgSEhKEZQICAuDh4YFGjRqZ3L6Liws8PDxEf3LHpi7ywVzKB3MpL8ynfDCX8sJ8ygdzKS+W5FOheLpPDlilsA8NDcWnn36Kfv36WfS8tLQ0hIaGIjQ0FAAQFRWF0NBQxMTEwMPDAy+99BI+++wzHD16FFFRUVi3bh1+//13vPbaawDyuwGMHDkSU6ZMwZEjRxAcHIz3338fHTp0QPv27QEAPXv2RKNGjTB06FBcunQJBw4cwIwZMzB+/Hi4uLhY4+XLBpu6yAdzKR/Mpbwwn/LBXMoL8ykfzKW8MJ/SSR4Vv2LFikbPgqSnpyM3Nxc9evTAnDlzLNp4UFAQunTpIjyeMmUKAGD48OFYt24dtm7diunTp2Pw4MFISkqCn58fvvrqK4wdO1Z4zrJly+Dg4IA33ngDKpUKvXr1wk8//STMd3R0xJ49ezBu3Dh06NABbm5uGD58OObOnWtRrE8D/dYRVHoxl/LBXMoL8ykfzKW8MJ/ywVzKC/MpneTCfvny5Uane3h4oEGDBmabtZvSuXNnaDSmB0vw9vbG2rVrza6jbNmyWLFiBVasWGFyGT8/P+zbt8/i+J42derUsXcIZCXMpXwwl/LCfMoHcykvzKd8MJelk6lm9MyndJIL++HDh9syDioBbt26hSZNmtg7DLIC5lI+mEt5YT7lg7mUF+ZTPpjL0sfcqPiW5PNpH4BPcmGvde/ePWzfvh03btwAkD+gweuvv45nnnnG6sFR8XJysnh3oBKKuZQP5lJemE/5YC7lhfmUD+ZSXphP6Sx6p3766SdMmTIF2dnZwijxSqUSn332GZYuXYoPP/zQJkFS8ahZs6a9QyArYS7lg7mUF+ZTPphLeWE+5YO5LH3Mdc1mPqWTPBrB3r17MXHiREyYMAH37t1DcnIykpOTce/ePXz44YeYNGkS+7GXcpGRkfYOgayEuZQP5lJemE/5YC7lhfmUD+ZSXphP6SRfsV+8eDGmTZuG+fPni6ZXr14dS5cuRbly5fDNN9+gb9++Vg+Sigdv/ycfzKV8MJfywnzKB3MpL8ynfDCX8sJ8Sif5in1ISAiGDh1qcv7QoUMREhJilaDIPry9ve0dAlkJcykfzKW8MJ/ywVzKC/MpH8xl6WRq4DvmUzrJhX1eXh6cnZ1Nznd2dkZeXp5VgiL7uHPnjr1DICthLuWDuZQX5lM+mEt5YT7lg7ksfcyNis98Sie5sG/cuDH+/vtvk/N37dqFxo0bWyUosg9XV1d7h0BWwlzKB3MpL8ynfDCX8sJ8ygdzKS/Mp3SS+9iPHz8e48aNg4uLC0aPHi3ceiA3Nxc///wzZsyYgZ9++slmgZLtValSxd4hkJUwl/LBXMoL8ykfzKW8MJ/ywVzKC/MpneQr9sOHD8eHH36ICRMmoHLlymjVqhVatmyJypUrY+LEiRgzZgzee+89G4ZKthYbG2vvEMhKmEv5YC7lhfmUD+ZSXphP+WAu5cWSfCoUxvvpPy0suo/9kiVL8Oabb2LLli24efMmAOCll17CwIED0b59e5sESMWnfPny9g6BrIS5lA/mUl6YT/lgLuWF+ZQP5lJemE/pLCrsAaB9+/Ys4mXKw8PD3iGQlTCX8sFcygvzKR/Mpbwwn/LBXJZOpkbFZz6lk1zYx8TESFquZs2ahQ6G7CsuLg6VKlWydxhkBcylfDCX8sJ8ygdzKS/Mp3wwl6WPRmN6VHzmUzrJhX3t2rWF/2vffN1+DBqNBgqFgre8K8V4Rkw+mEv5YC7lhfmUD+ZSXphP+WAu5YX5lE7y4HkKhQK+vr6YOXMmLly4gIsXLyIkJET40z62xPHjx9G/f3/4+PhAoVBg165dwrycnBxMnToVTZs2hZubG3x8fDBs2DDExcWJ1pGUlITBgwfDw8MDFSpUwMiRI5GWliZa5vLly+jYsSPKli0LX19ffPPNNxbF+bQoV66cvUMgK2Eu5YO5lBfmUz6YS3lhPuWDuZQXS/Jpqjn/00JyYX/37l2MGzcOW7duRb9+/bBhwwaUKVMGzZs3F/1ZIj09Hc2bN8eKFSsM5mVkZCAkJAQzZ85ESEgIduzYgYiICLzyyiui5QYPHowrV64gICAAe/bswfHjxzF69GhhvlKpRM+ePeHn54fg4GAsXrwYs2fPxi+//GJRrE+D+Ph4e4dAVsJcygdzKS/Mp3wwl/LCfMoHcykvzKd0kpvie3t7Y+rUqZg6dSpOnjyJtWvXwt/fH40aNcLIkSMxcuRIODhIPk8AAOjTpw/69OljdJ6npycCAgJE03788Ue0a9cOMTExqFmzJq5du4b9+/fjwoULaNOmDQDghx9+QN++fbFkyRL4+Phg06ZNyM7Oxm+//YYyZcqgcePGCA0NxdKlS0UnAAioWLGivUMgK2Eu5YO5lBfmUz6YS3lhPuWDuSydTN2qjvmUzrJK/D8vvvgi1qxZg5s3b6JcuXIYO3YskpOTrRyaoZSUFCgUClSoUAEAcObMGVSoUEEo6gGge/fucHBwwLlz54RlOnXqhDJlygjL9OrVCxEREXj8+LHNYy5NnJ2d7R0CWQlzKR/Mpbwwn/LBXMoL8ykfzKW8MJ/SFaqwP336ND744APUr18faWlpWLFihVBs20pWVhamTp2KQYMGCYMoxMfHw8vLS7Sck5MTKlWqJDTbiI+PR7Vq1UTLaB+ba9qhUqmgVCpFf3KXkJBg7xDISphL+WAu5YX5lA/mUl6YT/lgLuXFknyauur/tJDcFP/+/fv4/fffsXbtWjx+/BiDBw/GqVOn0KRJE1vGByB/IL23334bGo0GK1eutPn2AGDhwoWYM2dOsWyrpKhcubK9QyArYS7lg7mUF+ZTPphLeWE+5YO5lBfmUzrJhX3NmjXxzDPPYPjw4XjllVfg7OwMtVqNy5cvi5Zr1qyZVQPUFvV37txBYGCg6JYH3t7eBmdxcnNzkZSUBG9vb2GZBw8eiJbRPtYuY8z06dMxZcoU4bFSqYSvr2+RXw8RERERERGRNUluip+Xl4eYmBjMmzcP7dq1Q8uWLdGiRQvRX8uWLa0anLaov3nzJg4dOmRwxqZDhw5ITk5GcHCwMC0wMBBqtRr+/v7CMsePH0dOTo6wTEBAABo0aGB2MAYXFxd4eHiI/uTu0aNH9g6BrIS5lA/mUl6YT/lgLuWF+ZQP5lJemE/pJF+xj4qKsvrG09LScOvWLdE2QkNDUalSJVSvXh1vvvkmQkJCsGfPHuTl5Ql94itVqoQyZcrgueeeQ+/evTFq1CisWrUKOTk5mDBhAgYOHAgfHx8AwLvvvos5c+Zg5MiRmDp1KsLDw/Hdd99h2bJlVn89pZ3+eAVUejGX8sFcygvzKR/MZfEYf3g8VnQzvC2ytTGflnmQ/gDV3KoVvKAdMJelk6l70DOf0kku7P38/ApcJjw83KKNBwUFoUuXLsJjbdP34cOHY/bs2di9ezcAoEWLFqLnHTlyBJ07dwYAbNq0CRMmTEC3bt3g4OCAN954A99//72wrKenJw4ePIjx48ejdevWqFKlCr788kve6s4I3VYNVLoxl/LBXMoL82mZ9Jx0uDm72TsMo5jL4nH87vFi2Q7zaZnuf3VH2PAwe4dhFHMpL5bk09TJgaeF5MLelNTUVGzZsgWrV69GcHAw8vLyJD+3c+fO0Gg0Juebm6dVqVIlbN682ewyzZo1w4kTJyTH9bR6/PgxnnnmGXuHQVbAXMpHSc5l0/VNS+wPu5KqJOezJGq/uX2J3ceYS3lhPuVDbrlUa9TIzM0ssSc5bU1u+bSlQt3uDgCOHz+O4cOHo3r16liyZAm6du2Ks2fPWjM2KmbmBhOk0sVULqccnYKoFOt3qyHb4edSXphP+WAu5YX5lA+55fJIzBF0+7ObvcOwKQ1MX8yVWz5tyaLCPj4+HosWLcKzzz6Lt956Cx4eHlCpVNi1axcWLVqEtm3b2ipOKgYZGRn2DoGsxFQuA+4E4H7a/WKOhoqCn0t5YT7lg7mUF+az8DZc3YBz98/ZOwyB3HKZlZeF9Jx0e4dhN3LLpy1JLuz79++PBg0a4PLly1i+fDni4uLwww8/2DI2KmZKpdLeIZCVMJfyYatcbr+xHQ8zHtpk3WQaP5vywVzKi73yOSlwEpKykopte4+zHlt9nZuubcLZ+8XTajdXnYtvg741uww/m/LCfEonubD/999/MXLkSMyZMwf9+vWDo6OjLeMiO9DeSYBKP+ZSPmyVy9lnZiMssWT2XZYzfjbt4/uQ77E6bLVV18lcyou98hkYG2iTYtuUTts6Fdu2bCE7Lxvrrqwzu0xJ+WwO2DXA3iGUKgqF8YHvSko+SwPJhf3JkyeRmpqK1q1bw9/fHz/++CMSExNtGRsVM54RK71Ox53G0H1Dhcdmc2nFAUNf+/s1662MjOLn0n6arm9q9XUyn/YRlhiG60nXrbrOwubyftp9/HL5F6vGQkVnz89mQSN5zz49u3gCKYKSNBp5STnO3k65bZX1lKT31h5KSj5LA8mFffv27fHrr7/i/v37GDNmDLZu3QofHx+o1WoEBAQgNTXVlnFSMUhLS7N3CFRICRkJCH0YKjw2l0trfkHcSr5ltXWRcSX1c/lT6E8ApN29hJ4oqfm0hjy19LviFDdzAzMVVmFzeS3pGn64yK6MJY1dP5sFfC1vv7m9eOIoJGt/D+Sqcwu1zi3XtwAoWcfZ+PR4e4dQ6pWkfJZ0Fo+K7+bmhhEjRuDkyZMICwvDJ598gkWLFsHLywuvvPKKLWKkYuLr62vvEKiQ9It1a+dy8pHJ2H6jZP+wkCupuZxydApUeSqL1l2UkzwrL60s9HPl5JOjn1i0vJyPsy02tLB3CGZZ+6qXnHP5NDKWzxx1DnLVuTbftkPhb1IlK9qTg3139MWxu8csfv6CcwsAlKzPZo+/etg7hFLB3ImckpTPkq5IR5IGDRrgm2++wd27d7FlyxbRvLt370KtVhcpOCpe7FphWxk5GUjMLJ732FwuTfVhMufao2u4l3avKCFRIUn9XAbcCUBmTqaNoyF9B+8ctGh5HmftxAYNSwqbS1s3q83IyUBqNltRWspYPv934n8FDtRmDYX5XpYj7cnB++n3i7QPF/dxNis3y6Ytlp72/cOSfD7t75VVThE6OjpiwIAB2L17tzCtUaNGiI6OtsbqqZhkZpouCtZfWY8lF5YUYzTy82vYr3h///s2Wbf2QLb1+lYA5nNJpQtzWTS26CdfFMynfWigsXpBbSqX6TnpxXYS15glQUsw5egUu23fHuaemVvkdRjL58PMh0hRpRR53QUp7X2oNdBIKqjuKO9IvhtLUQo0KcfZTdc2We0E2PD9w4VuAKXB4guLi2W/1krPSTf7XVxQyzd+b0pns7Y/7HdZ+vj5+Zmcd+PxDY6gXQTfh3yPbde3FbpJ34X4CwiKDypwua/OfQXAfC71f0CsC19XYDN7hUJhkz6qAJCclWyT9cqFuVwW1dN+ZjsqJarYt2nLfFIBrLy7m8rlz5d+xsgDI627MQuo8lTIys2y2/ZtYfft3Wbn/3njzyJvw1Q+i+M4WdqPxdoTZwvOLcD3Id+bXO6To58Uy8CRUo6zi84vQowyxirbS8xIRFqO7fqBW/vEz+9Xf8f99PtWXac5OXk5ZudrW76Zep0r7q3Ao8xHrC0lYKceEsTHc4APawl7GIadN3cKj8/Hn0dqTqrk4viN3W+IHq+7sg6/X/1d8vbN5VL/wHn07lFceHDB7PoUUODqo6uSt2+Jjts62mS9cvG0fi4fZjxEbGqsTbfxyq7iHxfmac2nvVnjxOQ/t//B6XunhcemcqnWqAu1vey8bCw8t7DQ8WlZuwjIVeciMjnSquu01Om40wUvVETG8llchUSpv2L/3/sUlRKFmNTCFcv6V5CL8p5IPs6W7rddkKvOFboCrAlbYzB/582dBncFKc4iWcrx0NwyJ+NPovMfnXEz+aY1w5IlFvYkUKnMD7xV0Afz6/NfWzMcm1Nr1DZrinQk9ghWXVpV6OffeHzDouX1vwALymVBzzfmdNxprA1fa9F6S6OZp2bi36h/7bJtZbYSao14bBJLcmmrVhXF4VHmI9Hj7y9+j+knppt9jqmmfWqNGlceXbFabNZk6WdTDsYdGmeV/qfNf29epOdLOc6Z+7G7+dpmHLxzEBqNBhqNxuq5TMtJw+brm62yrmx1Nu4o71hlXWGJYXj171etsq7C2hu512rrMnXcsOdn0xpX7Ddf24zVYaslLz/20Firtuww9hr0xxYy12S//87+Fm8zIyfD6PTSdJzNycvBFye/KNI6Pjn6CX66lH+nmuUhyw3mLwtehpP3TgIALj+8XKRtFYa1fpuEJ4aX6LuvlAQs7ElQp04dk/N0fxClZRtvbrTx2sYCt3HoziG7nvkPTQgV/n867jRe3Pqi3WKxJW0uNRoNHmc9Fs3T/1KVctZW+5ylwUutFGHRdPujm83Wffb+Wbvdxq/T1k7Cl6+Wuc9lSWCtL+zOf3QWr1djvk90u03tTM57nPUYA/cMlLTdk/dOIiEjQdKylohRxhhtjl3S82ktX576Uvj/yXsnEZceV+QmuPonvSwh9epUs9+bmWw2qt3X/4n8B0P+HWIylwV9Jmzd7Prv23/j6qOreHnny0Ve18+XfpbUDcxWdFu+mdJ3R1+rbMtYPm0xNoMx5rYhdd8NfhCM8/fPm10mR/1k3z5171ShC/ve23uLHpva538L/w3D/h0mWs7Ua9Xv7y7lffff7G90utTjrHYb6TnpeO3v1yQ9x5TCfhdm5WUV2NWkoLfiQcYDJGUlSdre4H2DAZS8CwFS4pl1ehbi0uLMLlPaW78Ulc0K+9LeX+hpFBMjrflUhy0dCr2NeWfn4XDM4UI/v6iG/jtU+H92XjYAGDRPAvKvMJkSnhiOwJhAs9u5n34fcemGB58i/TDVOegN/3e42WW1uQxPDEenbZ1E8zJzDQchKehAaKsDpe6PDEskZBatEDPXr04Bhd36ceVp8gzeE6mfS8B0nnbd2iXeTjGd8S7KwHUFDcZkbD8ujPGHx+No7FGT88/eP1uo9T7IeIDz8YY/sgvKpzJbadAVpzTaeSu/INNeQbyRdMNq924fEzDGoIWHFFJ/l3T9s6vR6dp9MjEzEdEp0ZI/m2fvn8W+yH2S4zQnOy/bavu+FJuvb0ZIQoikZdeFrzM5r7DHAt1tm+oOZo0uO/fS7hnNp0YjbVC4ojL3HavMVlplG6o8FVptaCWaVlAxlZSVJDo+ar87jN0lRwHDsXjUGrXo+8bcd6upWLLzsvHP7X/Qcav0bntSP5va9z0zN1N0Qn/TtU2St1WcUlQpJluanok7Y9G6zOXiQPQBi9ZlDfZoSSBHJX7wvHv37mHIkCGoXLkyXF1d0bRpUwQFPTl7rNFo8OWXX6J69epwdXVF9+7dcfOmuA9GUlISBg8eDA8PD1SoUAEjR45EWprtBrkorXJzrXev1sTMRJy4e8LovJJ20ic9J91gmv5VU13/3P4HK0JXmF2nqfuJm/ri6ryts9nbyel/6ev/0NJ/T7W5zNUY5nT84fGG6y8gJzbLmYTDhCU/YqX+eOy3s5/JefY+26u/fWt8Lmeemil6bO970Ov2BzSloCv25li6v34b9C2iU6KNxmSuWNEy9jxTsReUz4ycDNx4fAMPMx4a5K0kKmgAwu9CvjM63ZJC73bybdF7fDrutEFLpIJYcnUqWZVscp5uXs3lUne5/VH7RS3ainKMWRa8zKYj3qeoUgp9pf/bYOvfFk73vboQ/2QsmLCH1h3Mt/f23kbzWWxX7M0cs6T+ni5oHzd1zP0+5HvMOj3L6LyzcWfxUeBHwuMWG1oY/+xqYPKKsX5cpl6r/oUP7XJ30+7ifyf/Z/ZzqS8zOxNB8UEG791HgR+JWilot6Gf40XnF0nelrCuQu4nlhybpp+Yjnln5xldhzVvSfzpsU8BlLy7yphz/O5xSctZ6wRzSSW5sE9IKPgK2YkTTwq5q1evFnn038ePH+OFF16As7Mz/v33X1y9ehXffvstKlasKCzzzTff4Pvvv8eqVatw7tw5uLm5oVevXsjKevLBHTx4MK5cuYKAgADs2bMHx48fx+jRo4sUmxzVq1fP7HxLTtacvHcSHx7+sEjrsDZTfbEstfn65kI3YTL1+h9lPTLZxaEw6tWrh4ikCNxIKrivvpTXYs9it92mdsXaX1p7BwBtP1p7034uNRpNgSPLSqX9AWavvH5+/HOhP6ApGmgkXynUZ8nr0mg0yMjNQP9d/Qt9lUJ772UpCjrOasWlxxm0tJCiuPdbyQMQFmFXG/D3APx9+28AMHnCWFoIRdvf9d9XqbksyPG7x7EydKXB+lV5KlEzZiC/ubIlt+iy9LZ7GTkZFvXNv5t6V/KyUm9zJsW7+941mKY9ob4vcp/FJ34A4/mUehu3orLWsdhUrOb2mbupdy3KozEaaLAtYhvO3T8nTEvLTjPaSlH/tWrHFDI4AVCE9+Rc3jm8f+B9g/fjaOxR/HjxR4NtWCPHtmzaro1TrVEXuuWn/vGloHgt/U26J3KPydikfidZmodpJ6bhn9v/IE+dJ1y0mnZiGh6kPxBt+2D0QeFxcdyVwZ4kF/ZNmjTBX3/9ZXReZmYmJk6ciG7dnvR79fX1haOjY5GC+/rrr+Hr64u1a9eiXbt2qF27Nnr27Im6desCyE/W8uXLMWPGDLz66qto1qwZfv/9d8TFxWHXrl0AgGvXrmH//v1YvXo1/P398eKLL+KHH37A1q1bERdnvp/G0+bqzasmrzRb+mEzdUAurrPfxujfDkc4oNsgHgeF5Y1hLH2PdZtj6b+G27dv48eLP+LH0PwvMHMnNQo64Oap8xCtjBYex6fHY2LgxALj+/vW30J3h6IqaD0zTs7AP7f/sWidZpsEajRo9nszTD0x1aJ1/nnjT6SoUtDi9xYWPU+XAgrRD+sPD3yIPZF7EPwgGK02tjLzTGk/LLLzsu0+sFx8enyB/QGLq/+f7naMdQ0pbBymPs+RkfljjNxOvm21z4euQXsHCYM/ajSaInX/0Xfq3qnCD6BZxHRqj2GFHXHbWic7dLvqaHNpsC0jL9bc9oMeBOGfSMPjlypPhYsJFw3Wbcl3lvZ9s+aJY119dvSRvKyxLg7mTl5denhJ6NIhRZuNbRCrjMXUE1MRlhiGGSdnSH4uYDqf1vqNYO572NxvBmscC5/f8rzJdVvjd5mxGDts6YA14WtE83Q/B7nqXGTlZhXc9agQLz8+0fSo+Fl5hlfs/7phvL4pDpYcm07FnSrUNox9HxW0XUu73U4/Md2ghnh99+sWrUMK3f0pKD4Id5R3DPa/BxlPCvscdQ4+OfaJ1eMoqSRXH1OnTsWwYcMwaNAgPH785EzoiRMn0LRpU+zfvx9HjhyxanC7d+9GmzZt8NZbb8HLywstW7bEr7/+KsyPiopCfHw8unfvLkzz9PSEv78/zpzJ72ty5swZVKhQAW3atBGW6d69OxwcHHDu3JMziwQsubkEy4OXW2Vdpr6kNNAUqujVKkr/Qv0vLu2BoDD98wo6IJo7sQEA3f/sbjionYnnvPb3a/l9v/Q2+fY/bxt9bkZOBgYGDRRN7/5Xd5hj7u4A+s2BEzIScCS24M/6jFMzDAYly1Pnid47qT9YjN2+RVfQgyBEplhnUEbdfoL3UsVN2wpq9TH3zFzceHwDeZr8Jo/GunlIodsUNiItAvdS7yEjV1qLE1Mn57TCEsOM9lVdE7bGKveCNka/OV9YYsHNaKUWpMY+i9Y8Wae7/rCHYdKvPJiIQa3Of10D/h5gtA++se2acyD6gKgJ4q3kW3isyj+2bL+5HS/vfNlqRe3Z+2ex4+YOq6wLyD/BI5U1ihtrFC9C012FQsilFNpjgokVG/0eSswwfrXdkpPA2vdN6o/0whQARWGuu0lhmttnq5+cLNO28tBl7jeO0Xxa8aX7b/bH3dS7iEiKMJhntil+EYJ4mPHQaBNl3e4cmbmZNr3tm+7nXPe1rL+yHh8c/MBgeaHQL0JM5lq3GTsOFLV5dkJmAn4K/Qmp2amFHjuoKKQc29QatWh8KEv3KymDzOrHcfOxbW9Pp60p7N2FsiSRXGF98sknCAoKwq1bt9C4cWP89ddfmDRpErp27Yq+ffvi0qVLeOGFF6waXGRkJFauXIlnn30WBw4cwLhx4zBx4kSsX78ewJP7VFarVk30vGrVqgnz4uPj4eXlJZrv5OSESpUqmb3PpUqlglKpFP3JXZ5zXqGLZqlf/GqNulAfQG1hsDR4qaT+hcZ+JJk6oTDjlOmz+pm5mVh/Zb3RW/nFpcWJBpXRLV5MfUlr36cHGQ8Mij5T78ut5FtGmxWm5Ri/AqP9UtH9EWqqGV5mbiZy1Dk4dveYyWX0xxvQjqgqxZpwcbHYe0dvnLlv2QAvAHDs7rEi3w4GMP0DQ5e2Kb4xpkbgFT1fJ4/tN7dH241tRfNjlbFmB0PS33ccHR0tOhnWZmObghfS2VZ8ejxO3zuNE/dOIOSB+abvTdc3Nbiyod2n14WvMzparakfA+aOGclZyUjKlDbCrzGFbVZpLO/30+8L/39337tGx62wJIYGDRoUKjZT/oz4E3tu7xEe676viZmJiE2NRZTSfD94qdQateh1GSu8HmU+Mv7DtpT97tp0bZPJk4Xa20mZy6X+8fxa0jWhWbzBnUlMHG9Ssg1PuGbnZYvW/cPFH/D1+a8x/+x8k3ecMTUOQnZeNl7f/brZkdGTspIKfZWwJFoTbvoksbF8Wrvl0Oqw1Zh9erbReT3+6mHQQsNS2n1jxIERAPK7eUw4PMFguYA7AQDyfysdu3tMeN69tHuFOvkuxbdB3yIyJVLY/9Ny0ox2FbH0dr/Gvkt2PyhglPn/WLsgfHP3m9h+YzsA8xdMLG1JVVCcxvKUnpOOSw8vCY8zczMx6cgks88xp9ufBd+NqCgX7oz58eKPZrsTFWUsHrmyKAONGjXC2bNn0alTJ7zzzjv47bffcOjQIXz//fdwdXW1enBqtRqtWrXCggUL0LJlS4wePRqjRo3CqlWFvz+4VAsXLoSnp6fw5+vra/Nt2ltmVqbks8YhD0IwNmCs0XnAkx8uDzMeig9gGuM/eAu6yqiVnpMuaYRY7e1vdPub6m9XysHgQfoDLAlaYvRWfkdijwgDjOgzdR903fdC6oAy5rTZ2Mbgx7bu+s29xsjkSFH/dVNfNGavNBXgrxt/iW6VFJ8ebzR/UpoMF3g7GCNe2vaS6Iutx189RNs0RgGFwVWaXy7/YvQWe8b6jOrnQrfZHwAM+XcItlzbUmDsh2MOY2nQUmTkZOSfbJBw8ixXbflAe4djDmPikYmSvyDnnJljdPq3wd/iyqMrmH92vmgQH2O3fCvIqIBROBcvrUWV/ufox4s/Gj0RV1i63VD+26BZh2MOm81DRITh1TqtwJhAyQMAPQnHsN+kNo/aebp9SotC/8SssdtC9t7e2+gI8AXdSaQg2u1acj9z3R/Wmbnmv9/0LTq/CNuubxNN0/+MmMvl7ZTbwv+12512YprRZbWfbd2TSMCT16x755b90fsR8fjJdqNSohCZEoltEduMNlvXaDQmx0HYdG0Tbj6+adEtzyKSInDrsW1uB/pHxB/45sI3kn8PmCPlWJaiShF1UTCWT6mj4ltylwZj61Mg/ySrsWJQu3/oX+nv+kdXo8sBTwYaNHeiGnjSzU1bkPXe3rvAATGNkfL9dO3RtfyYdLpBmnue/nFMn/a3xN00y8YH0H3/s3KzDHK35XrB38+mJKuShf3X3G+n5r83F/4v5bbLUpuS67ZIOXnvJIbsGyLpedZibN+++fim0ZYZRp+v97n9+fLP6PJHF5PLay9gmft9b2z/ycnLscpxpiSyqLDPycnBzJkzsWPHDrzzzjtwdnbGggULcPdu0QbdMKV69epo1KiRaNpzzz0n3MbC29sbAPDgwQPRMg8ePBDmeXt7Gwz8l5ubi6SkJGEZY6ZPn46UlBThLza26LdTKQ1MfRnqT7+Xdk90Fl+/v6zDf7tW1z+7im4XZewDpspToc3GNsjIySjwy9FY0WVKXFocNl/fLAziF/wgWNoTdZj6QtH+wDP2pWRuFNFHWU9enypXhQmHJwhfTgX9EDl696hw6yhtbKo8lUEM2lYEGo1GtD19Ug9qUs8s56hzjDa70n8PPzv2mcEy+6L2Sb7vuKlta/fB+WfnC/tRUlaSyZYI2ubK+hwUDkLMSVlJeGXXK1gTtsbgFnvRKdFG+4yau5Wedp3mfihq94M1YWuw9spaqNQqKKAwe6cGrV7bexW4jL7gB8HCvqB7Qq6wrXe2RWwr8D0AzP/osaTQOBJzBJuubUKeOg8zT81EtDLa5JXW9Jx0bLm+BclZyZLXr89Uf1GtyUcmF/oWeX/d+Mton+OcvBxhcKs8dZ7oZJUGGtHVcG18ao1aOFYau6Wn7olZSxR0RSYrL8tobo2dmLNkjAHt65LSjUPrxa0vCtu4lnRN8vO0Nl/fDCD/BO/DjIfipvhmjtfa/UL/2Kk7sJgxP4WKB5TUbkv/mKnKFR+7T8edBvDkKqxU2s+90C1NGVtgM+KlwUsLHPgSAA5GHxROAEht0Xc96TqC4oPQZmMbBD8ILtJt3qQU458e+xQLzy80mF6YK9ad/+gsaTlTrRa1OTRGG8OJe+KBIx9mPhR1D9M/FgDSr0jrLvfq368azLdGX2nt6yio6DIWky7tiPX7o/abXU6K1WGrhdYNWgvOLTBYLj49XnLXIWPx6O5Tx2KPFbiO0IRQSd/5+sy1SDE4CWzic6n7O9NSDkbKyvj0eKMngbUsHeBTV0GtgMMehuHLU18aTF8avNTob1E5kFzYh4aGolWrVti6dSsOHDiAzZs3IywsDI6OjmjSpAnWrDHfB7YwXnjhBYMzqDdu3BBG269duza8vb1x+PCT+6IrlUqcO3cOHTrk9yfr0KEDkpOTERz8pKgLDAyEWq2Gv7/pZrUuLi7w8PAQ/cmdi4uL0Q/Ib+G/mWz2/ePFH6HMVhqcUdP9UlVr1NBoNIhNjYUG+SNQH75zWLj1ivbHz6pLq4Szesaa9ALioqsgvbb3wsOMh8JAZJb+6AHMf+ncTbsLNaQVvcZuMxP+KBzH7h5DStZ/Z+glfDfpfrForwrqx6jtWmAuNmNXIUwd5E0VYPuj94sehyeGG//yl5Cux1mPDa+MWiAhI0Ho+7stYhviM+KxLHgZgPwrKbpn4PvtyL/VnbGzwCfvnUS0MlrYJ1NzUhGVEmW0f7upEyNfnjb8EtGne4/cyJRI0f5hrHBQKBTYGrG1wPUWpm+f9nOh+wU5cM9AfBv0regLtzBXccwpzIjvxkw+OhmLzi9CriZXWKepL/oYZQwWnFuAjts6Gu3bG3AnQDgR5L/J+PeDlONPWGKYyav2us19zf0A1N3OkdgjwiBlcWlxBldh9FsIbbi6AR8FfmR2HBFjzaunHp9q8tgL5O8j6TnpBkV6YW+zZOw90u+6IsXog6NNngy6mHARP1/6WdJ6Jh+ZbHT6l6e/xMLzC0U5UUBRYLcKbbPqgrqVaNdralRw/WNjribXbJ6MrVvKdvvu7IsjMQWPn6LWqIVWcQAw+/RsgxPaC84twKGYQ5Ji1NI9afTe/vcKVdiMOzQOgGFfev3xUT4K/Ai56lzRPqjNZ7PfmwHIb2Vy5dEVOMAB4w6NK9IdGbR0Tw41Xd9UuHXuhqsb8ucb+R421wIo6EGQ6LH+MaWgE3HfBn2rfaJZBfWV1t3PTN1dRP9EV0G/57Td7/Tfk4N38kc41972TWpLHO3+pPseqTVqk9+bUSlRCH4QjIF7BqLHXz2w8JzhSSB9uvnVjVv3HvMTAg27RuhbEbrC7Ojt8enxBRbghe1GYewWpdqWJAWNSTXr9KwCb2Wrz9hvsRx1juTfM+b28VvJt7AvyrAFmTJbWag7Z5QGkgt7f39/dOjQAZcvX0aXLvlJeOaZZ7Bv3z4sWbIEU6ZMQd++fQtYi2U+/vhjnD17FgsWLMCtW7ewefNm/PLLLxg/Pv+WBgqFApMnT8b8+fOxe/duhIWFYdiwYfDx8cGAAQMA5F/h7927N0aNGoXz58/j1KlTmDBhAgYOHAgfHx+rxlsapOekmzw7pm2Kf+vxLdFVzmXBy3A39a74StV////58s+4n3bfYF26B1qNRoP49Hj03dEXao0aP4X+hMlHJxucLMhWZyNXnYvM3EyTVx6339xustDcE7nHoKmj1CbMJpl4qgaa/C/i/+abOpBpf+yEPwo3mKctLIydxdZn7ItLe0XVVJN7/SvVuu+DsR/12hMBGTkZoiaopq7cXn+UfxVQv0+eJUz9oDUlIycDf0T8AcB8ywgFFEKT5quProrOwBsbVTtGGYOOWzs+ae2ge9VTj/7YCJY0DdbuJ7otXF7d9arx26UpdP9r+z5kcWlxwhdkjjoH2yK2CSdHAGm3NTN26yApP7qsMTiX9kpBek66QfcHrbf3PBlw0liT9+N3jwtdU0wNVijlat5PoT/hzwjjAxHqnqw21mpEe6wQRl5PjhQ1vS7wqovmSd963WWltILYF7UPsamxSM9JF8bGmBg4UbjCpNaocT/9Pr44+QXO338y8F/v7b1F65FadBpjKnfmnLl/xuTrC00IFU6kFfQ5Ohxz2Ox8U03xNRqN0VHntesrqKmwqf3I3A9WY9+Rlp5g0R7vdI9zBX1ez94/ixx1jugHvrGCV/u99DjrsUUFRkEtYgqi7c6g+5kB8sdH0T12n7h7wuC1RkREiG6TtepSfrdPhUKB03GnDbpKFMTYPqm/D2m3oZtr/ZYsul3ITNkXuc/o/ltQPrXHO/3PRqwyP7/W7GOv3c90B6A0l2PtsaCgY57+VWLdE+cbrm4QTsJrB+HVPbabe39iU2Ox4eoG4T3Sj0NbkOr+RsrMzTR6nNEWqboD15prkXL2/lmzx6vrSdeNFuDmmBpAutUG83fbAZ6cFCno6vrft/82uKik3xJJinln5mH+2fkFLmeqK6pCoci/qGhi/9UdJFluJBf2u3btwi+//ILy5csbzPvggw9w+fJl5ORYdyTItm3bYufOndiyZQuaNGmCefPmYfny5Rg8+MngXZ9//jk++ugjjB49Gm3btkVaWhr279+PsmXLCsts2rQJDRs2RLdu3dC3b1+8+OKL+OUXed/H0JSfL/9s0OxI31v/vGW0j6QpBd2nVHs7FX3Clan//t10bROildGi595Lu4fWG1obfZ7WzFMzhSvzuv25dbev66PAjwp6SSafa2p+UfrqCF92hS3eNDB+tl0vdO2t74D84sfgIP/f+3o37S7mnyv4gKpt8tV7e28kq5JN9g2WcvA01lf91uNbBk3f7qXdE87Sm6P72qQM5tJvZz8kq5KFx8I+ZiR0/T6QpvrNGqO7n4QmhJpdtqDXkKPOKfC+9pcfXjbarNCYhMyEJ1caLPjCM9bsXBS73teM/o/WFFWKcIVMCpNdBP7b5Ml7J402+zP4MWjqzh0FFBMaaIQCSndZ/e5IUgbZm35ieoHjIhR05cZYfAqFAlEpUdh09ckPXCkDPwLABwc/QHRKNOaemYus3Cwcu3sMd9Pu4vCdw6L9YtqJaaIfVNoBo4D87xmpsVqLfisx7Ym/ggobKQNC6Xa7MnbFKvhBsNFR57WDgBU48JW58T4KUNAxQPc9jk+PFxUW2v/rbr+gbao1auFYL5zQNvGU1OxUdNrWyejry8nLMTgBtC1im6jbiKn9Y96Z/O8AKSerdAsR3a5+Gmjy79Kitw3dgdt056k1aosHBmu7ybD1ie4VXWMUCgVab2wt+aSG9likHdNBP39S78yi/7y+Oy27UGfJYHDaPOgWV+uvrJf8/ILGJ9I21QeAby58g79v/S2ar9tazEHhIHqvrySKbwWr+77oX1RKzEzExYSLaLepndl4dGO+nfxk7I0XtpgfcNzc/maNk/3a1y3lyripz6Kx46cDHJCiShHGETB2YasgSVlJBd4SVxvXdyHfGb0N68TAiZh1epbR5xU09kRpJvkodeHCBWRkmL7dkp+fHwICLG/qXJCXX34ZYWFhyMrKwrVr1zBq1CjRfIVCgblz5yI+Ph5ZWVk4dOgQ6tevL1qmUqVK2Lx5M1JTU5GSkoLffvvN6AmKp4HuYHL6yriUMXmwMPcBMHZA12/2pl2vsR/lugUVID4opmWniW5fYyyWXbd24X76faN93lf/v707j2+izP8A/pkkbXqHQmlLOYvKUeRQkFrPVboWFldYXH/AohyruKCuq/VEkYqu4oGIB4LKLSKIiydYwQp4UK4Ccl8CYoG2XG16p0me3x8hIcckmYSUNunn/Xr1BZnMPHlmvnM9M8+xc7bDE3gADj3Ze+NuW7l7o7tw90LFaVs5P8UOFOft5K19mHV+f9ofCwi31cLk9h3nt+3OMa6sq8So3FE+XeztSZJkq7HgbdxrT0005JozWNfH3QVDjlzh955v7/G4jLtj0Xoz/frm1z2O6ABYRjBw7gjoYjorkjPue9e22s7NCOw530T4+lCs78d9ZZfxtddgT/OvOrrKfTpCuLyhBoCXNrzksF+7uylzrr697+w+nKo65fK2VS4GI78d6fr2Suaz9TxbXneh1o4vN97WNB9b95htuUfWPoKl+x07k7PfhltLXEdU8NZniqd9cfXvqzE6d7TXvFpvxO33M/uHJfaFB7lzrJIhnOzZt3Pu3Lkzaow1GPPdGNl55WqweNomzvukkmvC2sK1Xuex+njvx3jqx6dcpjs0MbD7TecCi7ObP70ZgPt93VoQktuXF+5Z6LVPEHf77KcHLLW2Xsh/wePygHw1X2vaW0u2OuyDnTt3vlCLTGbfDESP3+46KfU19tZ93Prg1l0P7Eof7Lr7Pft8ydVKsQ6763wf56yqrspW48G+lqJ1O0/dMtXtst6uR9Y8yr3YAeDxZYBzcwCHfoycmizKvbwY+e1It2nL1T7xdB62Nt2ZuX2mLW/uKLpf9HIZt8+ft5d57s7VcudPlaRCjbFG0TXH3TxKmhDZ58va5Naep3u/UO5JX/FZavLkyaiokG9nTaGhprbG7VMsTzdgcgemfXVKd8uerDwJo9nocnFX8sbAynojLSAw89eZsnl39+bsYp5Suvte7ubWG+c39nm/y1Sns68BIVxv5L111uKSBgSGrxju8L31SfK83a5PPr3xtH8oefNQUlXi8NBn9s7ZstXUnNuauhs2SIKE4irLAx1vvYx7Gj7R04XJWj1PidPVpyGEwLpC953mWHvGtcZp+6nttu/s37pYOwE7W3PW52YQzjd/3xz+xuGzc9tAf0YisE/H+f8AoJbUXpf3dtztOu36BsDTeaO0ptTj8WDvu6PfeXzjLNckyfn/ntJ37jfmobyH8NmBz2QfFgCON3dyQ2G5nA8C0KzBut9bjx0lN0Fyv+utQzFPcS6pKpGNs70aYw2GrRjmMY+BeDNjbbrk8GZbkpC7LVf2raxtHmvB3i5vg74c5LZKrH2nnQfOHfDr5vPfeU410hSsurvznLcONK3nE0/b3pIF10zY3yPc9518j9neOjysqKvwuo/4wv7YXLhn4YURdWTi6I27KstmyFcdth7nSt+wX/XRVQ6fnR+6+Upu3Zzfxj7xo2tnY0o7pVy8b7GtYG/7Lcn3WjvVxmrXc/n57empHxqj2SjbjHP176sdHqpuKrrQxEhAuDz4V9ou22g2yjbb8rS+1n3Z2jmlksK70vbscvFdvHex7T7rqZ9cH/jJGfntSO+dXPtwzrX2l2Dl64N+f+89yw3lXms7BSvFBftA3CxQw/MWR7k3DMD5k5FwnQ+wjO3s6XfcVT37v2/+T7ZavP2FQm48U7mbkOPllhPzqWrXKt3uWDurser/v/6oNlZj2pZpDnmXI1e4BpQ90Xd+e+vcxv6RtY94TcN5ebmTtnP1J29vTq0dF/pzE+xpGU9P8q3b0XrxtJ5o3e2nzoXw/x38n+x8F8u6j8nlw13enKvo2t+gTfhpAmpNtXjyxyfd/qbtJlnmWJn560zb/637mBACv5761aFTHququiqXQvy1i6/FDUtucEjf+SbFWm3eOZ7ONXDcsS63cM+FmivOnS45F+ztt6d1mDq5bWzfcZHc955uguw7kvM2//8O/s/jcWz/VshTr+7u0lepHNP21oGU87EtV+XQnpLj1746qBznc6y75lb+1DKyDsPlyZJ9S2RrYDn8viQ5VNXst6yf25tu5wJa7tFcTNsyTfYNpDtyTcoMwjX+3Rd0tz1UlO0bpc61sOzcYeJnBz7D2FVjHfZDpTehvrzBl+PPkJlyDwC8DZ9p30RH6dCWcpR06ukcf4fv7GKqUqlsbyDt30Ra46jk+v7Bjg8ghHC7HYUQHtORa5ZmZW1T7akTP+ee85WS2zYlVSUO28ddZ4ZKenm3P4dYR7bwdoxb2c8zbcs0l344rNvTXad9gKUDUrkHo87sXyjI5U1JJ8yvbHoF41aPc7nHlEvT2kGg3HfWmNiPguL8Xa+PemFM7hi3NTY8WfX7KsU9wz/z8zO2/ysZzURpmdH5fOj8ssHr77ipjeWuDb11P/z+2Pd+jZQSDHyqVxToqsLUuISFhSmOsa0n1Yskd6Gw7/HZ/mTiibenjXJvV52fDB6vOI5yQ7nDG2tv/RFYWXs9VnLhH7vKsTmJL1VkAZmqtwpPoPZ583Qyv5ihwOTYPwH35vn85x0++3vO8Xs5p6rovsTmnW3vOHyur/FjbQX783mUG9IwfXG6y1N164MGT+1pbdvNbpeqMFQobp9tLcR7au7ifIzY78+L9i5yu5x16DHnZZQwCde2tJ72EU9vzaZvnW77v33P+t7a8Hdf0B115jp07NjRJR/Wmxn7PFkfiH171LHHe3cPs3wZnnDwl4M9fu/cb8Srm1+VnU/psFX2PN18W7208SWUG8pdmuh4+v1qY7Utbg5NQSC5FLK2Fm/FvN3zHJqyuGuv7amX+FatWslOt7/5zz2a69CRqf06WZtHOW87ufPO7jO78fnBzx2m2fdM746SuNjvu+9ue9fDnPLsH94aTAZMK5jm2DGkXBYCcDvpaThXe9ZtcLrG9S26/bp37NgRk/Mn25Zx3nbWY3r5weVuj7d3tr3j8bqx8shK+YdbtlOv5TfddUBZUlViG8LXG7lhLt25mPt7a0eb9vafdayZZL+drTXvfBnlyErJ6DBy/Hlg5SlvO07t8Ljs8YrjLm3E//bl31xGMfBUK87ayZ/cvYR9vLYUb1H88N2Zp2EW3VGyrygdMcoTJc1mPR1rcvfGStrtBzufCvadOnVC8+bNPf5R4+bpgKw11Lp9yuXcSZzSCypgeVs26ItBPubUPV8LwgBkx0iXq4rvUNNACIenoPYnBOferK0dzfhTdfIfKyw1HjzFxn4EAdmq+ApOtErzZn0I4unNgbO5u+YqntcTl/4W/Lz7k1vOlype1rfvcgULuePDYDK4FOSc3x4qvXHyts7W7603Km6bIyjZJ5zmscbc/qJs3yTAG2sPz778pjNrb8xyXt/8OgD5c4DXvgOEzDR3efAypI+Vw9sd50KA3eXV2s5VCIFDhxw79pMg2X7Pfh2Uto218tYe2h2j2ejSOZ+i3tX9LAcIIWydV9kXYrov6I6vf/vaNp99Z5/u0lEyZGe1sdp2g+w8v30v4g/lyQ9B9fCahy+k7xTjwuOee7uXJAlPrHvCba/41t7Ond8oz9g+A2drzrqcU5zbjCrdT72xP979GZXA3o1LbrTVKrG+2TtR6VpItY5ucjG8Fa6srNtXrj20fUydj00r63pY45GzPgd9P+7rtsaHP7XenM9H7vofkKuh5c5dX9+lOF8X0+ZYromZ8wgCzsfzyYqTAWvnrJJUXpvG+XPfKLe9rOcQb8O1yvV9cqj0kMf7KgFhG7YXsHQgLMdkNrlsOyUvlQL1ctb5t+VGxnJ3PXZ+aO4uT576hFL6QFnuO+caF6FYG92ngv3kyZPx5ptvevyjxs1b1UZPywkI9FnUx2P6vxz/BaU1pZiyyXG8T3dDR/nDnxO0HLmes78+fOHG0rlTkOfXP297m+2u2pM/J05r4dF5WbfVSv18Y++rW5fdqnhe+xusWz+VX05JnwYSJOT9nmd7iBLIgr23fRe48ADF1/GTP9n3idt2s4Fmrcq+5g/Lm0R3bzXdtWX3tI9a24U6P+BSSsk6228nuTdX83fPd9vpjXW63DlA7g3B3778m9u8+btv2deE8NT3hf12tnZgKEGCRqNxO589b30RWDsO86dfD3u1plqX2iZK+Lu/m2F2qOkw6ttRtreT3poIeCOXB/v+EgrLLQVsuX3a2qu427SdOp49W3PWpVnF4bLDDp9/Oe46rCjg+GB8x6kdbvuBcb6B9Wef9bWqsyeHSw97ncf+Wm99uzrpl0m2aS/kv4BFexZ5HTbLnTG5Yxw+KxmBQem+aX9sfrTnI9ty1s40nbe/p6ZV9ttUydtUa9re7m/qq+ZsoK9X3tZj6f6liocj9pY3FVSyL298ScPNQrKmbJziUntGjkOszqflbrhmK2szBcD9ffMPf/zgV8He27ZWUsVe7rcm/DzB9bfcbDyXTmJl8jRi5QjZZrhW9jX73DazkeT3Qefrqj9NGBo7jfdZLhg2bBgSExPrKy90iW0v2Y6XNr6EZX+1VKPSaDQXPe77uO/H4bWbXgtUFmXV5xAVPxz7we3vrPljDUbmuu8BFZA/uVpvJr1xbm+WfyIff+mobMgZJTd8Sm4Idp7a6XUeOfbbyl0/B85V8+RIkBz6GFiwZ4Ff+fH35sfbyAEAZC/2BpPBawyU1oDwls7es3txefzlXtNxd6G3fxPs/FtqleWi56lTOAB44HtlVUHl2Bdidp/ejTYxbRy+9zgUlLWphNw5SmaS7eGdzEXe333EvraO/UMV5+0kWzCXgHbt2jlNupAP+/ax3m7Ulh1YhkkZkzzOI8f5RuZi3pr5sw2dHxptLdmqqA3zisMrXH/fKe+2vjHcXCM2FW1yO3a0PwXNloktAbvazkprptnXFBixcgQ0KvlbMfvtYRZm2/HpC/ttMX/3fPl5FF7zfanabc/+4dOXh7702sTCE+eqzHK9YTvzdM9gP7xZu3btALvm/s59Hzjvn87V5a0d3woIh2Ye6YvTseb/HJt0OO9v/gw16itPcd540v9+DmR/y8t6WB/EBqLKttxLGpf8+HFfe6DUtXApQXJoFubp9+wfXFu3h33BPZA8DbHn7ntnbxa8iaf6eu9ET0lNKXfhV3K98VYTx76fKnf7mclsgr7W9VzvfAyHYhNzxW/sQ3Hlm7oz1WccLtQGw4XCiXO8fXlLHqg36vbj7doLxBtqd0/QncdCdlZr9Fyd23nMbnfpyP42JIcTlrt+A+SqeD269lFF6Xtj7Y3VZwpCIhc3lxvhAJ1m/C2s+HPjDMg3h3CO+4DlAxSlJff0256njpPsuWuf5ulJuFxhVC5uBcUFivIg5+qPrnZM34cbWWtc5d56eGsPaV8bJ1Dst4PSBweHDx92aNforjAbiKG15GQuywxIOpIk+XWc2bd1tbZTtqbj6fiTq2or28krgN6LertN55WNr/h9fXPex3YfUz4yhifWbeKpH4jRuaP9e2Ov4PhSWrgKRM27iynU+8vTPYN9M4HDh+VrJFi3oXMnZs7b1v6htLVvGWvNu0fWPOIwr1yhA7jQQZ7Ve9sdr8mKHj77QWlHwYrT87Kc2WzGW1vf8tr2ffg3w70Wht09rHP4PT/uS523vS/pCAjZJk2e+kLxaVs7nQrkrhfO+4q3cpzSERmcWTsLtefpnLJg9wLb/b0/ZUv7DjPdxWPEyhEOw71a1dd1tTFhr/hNxLxd81yHqHA+niT3BSJfbr4D9cTZ3ZvuY+XHLnqYCneddNk/KfTU14A7cicpd+0r5Zb1VhW1zlznUmBTemwquSmsz5Oe3Nsi57aX/ty4fnbgM9eJCpNx7shQI/lUicnGLMwuefc2rq873jp3ce5MzR13HZ55Yntjb7dPyVZ7D9DDO1/PFdbjS+7hhLe0nDttU9SO3AfON6jW/eFo2VHbtF2nd+FAzQFb7//28zkLVPtpZ/ZtqM3iwtBb9h28KeFSFV/hecj+fPjhzg8dvlPSR4NVQXGBSx6UdCBohtklr0oelgkIl+VmHp3pZu7AuFRjLcvFzrmACfh/TmtoSs8zWq1Wdrr1fOd833C47LB8Qdvu525aehMA14cC7ppfOLMfEQVw7aRVjtuXIh62g7umP96qjrvj7WWDNV1vhcldZ3Z5re2m5NyjpCmgEi9ueNGv5RR1YnkR987O5+9tJdt8bmKl9P7PeT7na+nq31d7vEeYumUqhn4zFG9vfdun/Mnx+R7iEp1TG5Liu3iz2cxq+EFsWsE0l84+nN8uqzVqrDiyQvZAOVJ2RHEVone2+t5eU46nE4OnXmED1aZQtoMumW1j30GN3MXDl06CZu1wvLF1vlFdfnC5Sy/NSk9sSp6MytU4UMJbHqYVTHMZr1SOPz27yj0tVnrydh56UOmFzbktrbchjALNuX2f3w+6nDaTRqXBlqItDoU/b2NQA0BxpWsMlDCYDLIdL9mzf9Bhjat9z/RW3o7pi30Y6G20COeCvXV/+OsXf7VNW3V0FXJ25zjsPxez33Rf0N3hs7dhp5zn77mwp+3/1jb7SgkIh5tyf25KrTf3/ry1OV553GW5od8M9Tkd4NK/RVbartO5rxp/uDsu7Kuwm2F2GQ979s7ZLsvU19tiABjy1RCv8/j7ME5px6kxLWIcPlu3nacHRnLnFSWFYeftrWQoNqXcdernqYrzpX6TGcgmB0pqnDi/KKrvl5X+9IU0rWCa4nbuuUdyHT47PyCZsX2G7Te7L+iuqKnR/w7+T9H9qvU6bN9vkf0LFudhEuWWBZQ1ofCkwlBhu+4qfYFWVFV/57DGwr/XU9Tojfp2FLaWbEVORg4GXz4YwIWb4Q5xHVBWW2Y78P79w7/xdN+n8UfFhTdEbxa8iXV/rMOwLp47JJEj1wOuP5740XFItvd/vdBJzoaTG1xuUq2UDGvircdlQNlQQoBju8Nvj7i+TVXaEdvDPzzscsMn19N1/knHXnFl31jLWLp/qdd5nMdAfuYnZcMNertoHTjr+oZV7ibRn/GM5Yaj8veprJIxgBfsWeCyzc/UnMHnh7x3puNs6T7vMZHj/Pb5tc3+9WtRaXC8GdDX6jHmO8fOqZTcgGV+5r16967Tu9CtRTeHae9ufxc6rc5hmvNbwTPVZ9A8wjLiiqcbZm/59Ge4I6uSqhL0W9bP4zzO1UHlhoCSqynkrk8Kf3h7SCJn0R5LnnKP5nqZ01FRZZHD2yslQxMBjs0XrJ3LyfVW7s28XfNkO7D674b/elyuqq7Kpb2+krHQgcB1AuuuY1Tnzvach6Ly57wmV524qq4Kt39++4UJAli4Z6HXtJRcQ/xlHSrTE2snlL76+1d/9/j9ysMrAQCjV412mO6tQ0UAgAQ8mPegwyRrx6aeKHmY5O4ex5m1cz9bltw8KBv3/Ti3aagltWxtsfoaHuzjvR8rnte51oIzdw8y7Dk35fG0LQLB+cWQc98Q7iitIeHtfkMFleJaIfbe3ub6Fn3EihEOn3ee3olyQ7nDAzPrMJEA8MqmV3BTm5tk07fvp2rNH2twc5ubfc4jYKm5Yj+ai9I+IpzPh2eqz7jcgwQ7SbCOvSJ6vR46nQ5lZWWIi4tr6Ox4pPRiEKrax7VX1KEO1Z8F/RdgVO4o2+cIdcRFD6Pki7Hdx7pU861PqbpUxYWD+tBR19GlFkGgTL15Kh5f97jPy7WLbefSu/1NbW7Cj4U/+pzWyLSRXgsed1x2h8cxgQNt+i3TXdrNElHTckPrG3weRSXQMlplODzwvyrxqoDWAKDQUJ/3Cf6K18a7DB99KSVFJeH7u75vsN9XypcyKAv2CgVLwb7CUIGMTzIaOhtERERERESN1s5R9TNSQSD5UgYN/e4Bm5g7vrijobNARERERERElxAL9iEmkO01iYiIiIiIQtHF9L/TGLFgT0RERERERE1KoIbvbSyaVMF+xowZ6NChAyIiIpCeno5NmzY1dJaIiIiIiIjoEuMb+yC1dOlSZGdnIycnB1u3bkXPnj2RlZWFkpKShs4aERERERERXUJ8Yx+kpk2bhrFjx2LMmDFIS0vDrFmzEBUVhblz5zZ01oiIiIiIiOgSqjJWNXQWAqpJFOwNBgMKCgqQmZlpm6ZSqZCZmYn8/HzZZWpra6HX6x3+iIiIiIiIKPiV1ZY1dBYCqkkU7E+fPg2TyYSkpCSH6UlJSSgqKpJdZsqUKdDpdLa/tm3bXoqsXrRvh3zrMu1Pbf4UkLSTopJcpjWPaO4yLVIT6TUtleS460WHRUOC5DCto66jy3IalcZr2nLLKZHWIs3hc7cW3VzmcV43jeSan9YxrV2myW2nZtpmXvPUKrqVx88AcGWLK72mExsW63WaSlIhOizaYZrzNogNd01HSUyUilBH+DVP3+S+Dp/ltq1zXJz3N6WSo5MVzaeW1F7nSYxK9DpPmBTmMk2r1jp8dj6e5ISrwhGuCneYJhdPJa5Luc5rnuLCXcdavSL+CofPcsdKp/hODp/Vklp2Pmc9Enp4nUfJdpLTPaG7w+dW0a1czgVhKtc4KdnHbmt/m1956tHScX17JPRwOc8kRnrfv5SSWz9nXZt3dficEJngMo/zOQZQFhfntJWS+z1nSq5Z7ePa+/X7cnRanV/LKTk/OvP3POfvuUHOTW1ucvgsF2/n8wcAtIlpE5Dfl9sPlWwX5zy1iGih6Pf8uSbGhMUoms/feDqTi4HceVbJdSwQywDy2yA9Od3rckr3E+d1lrsvUiJeG+/wWS7eSu8TnMkdBx3iOjh8Tm/lfZu0jmntci+cqkv1K09K901vrkq8ymWaktglRia6xCpKE+V1uQEdBnj9veYRzXF5s8u9phVMAndHHmImTJiA7Oxs22e9Xh8Uhfs2sW2wc9ROv5YtKSlBYmLgbgSp4TCWoYOxDC2MZ+hgLEML4xk6GMvQ4m88X7v5tXrITePWJN7YJyQkQK1Wo7i42GF6cXExkpPln6pptVrExcU5/IU6diQYOhjL0MFYhhbGM3QwlqGF8QwdjGVoYTyVaxIF+/DwcPTu3Rt5eXm2aWazGXl5ecjIyGjAnDUuLVooq2ZGjR9jGToYy9DCeIYOxjK0MJ6hg7EMLYynck2mKn52djZGjRqFPn36oG/fvpg+fToqKysxZsyYhs4aERERERERkd+aTMF+6NChOHXqFCZNmoSioiL06tULubm5Lh3quSOEAICQ7h3/999/R3S0946GqPFjLEMHYxlaGM/QwViGFsYzdDCWoaWpx9Na9rSWRT2RhJK5CIWFhUHReR4RERERERGFjj/++ANt2ngeSYAFe4XMZjNOnDiB2NhYSFJghhtpTKy9/v/xxx9NoqPAUMZYhg7GMrQwnqGDsQwtjGfoYCxDC+NpeVNfXl6OlJQUqFSeu8drMlXxL5ZKpfL6lCQUNJURAJoCxjJ0MJahhfEMHYxlaGE8QwdjGVqaejx1Op2i+ZpEr/hEREREREREoYoFeyIiIiIiIqIgxoI9AQC0Wi1ycnKg1WobOit0kRjL0MFYhhbGM3QwlqGF8QwdjGVoYTx9w87ziIiIiIiIiIIY39gTERERERERBTEW7ImIiIiIiIiCGAv2REREREREREGMBXsiIiIiIiKiIMaCPREREREREVEQY8GeiIiIiIiIKIixYE9EREREREQUxFiwJyIiIiIiIgpiLNgTERERERERBTEW7ImIiIiIiIiCGAv2REREREREREGMBXsiIiIiIiKiIKZp6AwEC7PZjBMnTiA2NhaSJDV0doiIiIiIiCiECSFQXl6OlJQUqFSe38mzYK/QiRMn0LZt24bOBhERERERETUhf/zxB9q0aeNxnkZXsP/xxx/x+uuvo6CgACdPnsTnn3+OwYMHe1xm7dq1yM7Oxu7du9G2bVtMnDgRo0ePdphnxowZeP3111FUVISePXvinXfeQd++fRXnKzY2FoBlo8bFxfm6WkGhrKwMOp2uobNBAcBYhg7GMrQwnqGDsQwtjGfoYCxDS1OPp16vR9u2bW1lUU8aXcG+srISPXv2xD//+U8MGTLE6/xHjhzBwIEDMW7cOHz88cfIy8vDfffdh1atWiErKwsAsHTpUmRnZ2PWrFlIT0/H9OnTkZWVhf379yMxMVFRvqzV7+Pi4kK2YH/s2DHWSggRjGXoYCxDC+MZOhjL0MJ4hg7GMrQwnhZKmoI3uoL9gAEDMGDAAMXzz5o1C6mpqXjjjTcAAF27dsXPP/+MN99801awnzZtGsaOHYsxY8bYllmxYgXmzp2Lp59+OvArEaRiYmIaOgsUIIxl6GAsQwvjGToYy9DCeIYOxjK0MJ7KBX2v+Pn5+cjMzHSYlpWVhfz8fACAwWBAQUGBwzwqlQqZmZm2ecgiVGsiNEWMZehgLEML4xk6GMvQwniGDsYytDCeyjW6N/a+KioqQlJSksO0pKQk6PV6VFdX49y5czCZTLLz7Nu3z226tbW1qK2ttX3W6/WBzXg9K/3fcpS8+SY6/fwTzi78CMUvvwwAaPXSS4BKhbLly1G1eTMAoMX4caj88SfU7N6NYgCJTz2Fs3PnQhiNMJ07Z0szefJkFOXkXPiRsDDEZWVB/803HvMSlZ6Oqo0bfV6H2D//GeWrV19I55prbHn2VVi7dqg7dszjPHF//Sv0X3/tV/qNUXFDZ4ACpqnHMvKqq1C9bZvHeRL+/RBOv/Nuvfx+7J8zUb76e4/zNLvrLpQuW6YovaYez2CkSU6GsajIZbp9LHV3DkHZ/5ZfukwFUIt//Qtn3n/f4zySVgthd18kR6XTwVxWFsisXVLejk1Ny5YwnjrlcZ7o669H5S+/BC5TIUqTlARjsectHpaSgroTJ/xK32ssW7WC8eRJv9KuL+pmzWAqLfV5nsSnnkLJq6/WX8Yagfq4bqqiotB5a0E9pNxwJCGEaOhMuCNJktfO8zp16oQxY8ZgwoQJtmkrV67EwIEDUVVVhXPnzqF169ZYv349MjIybPM8+eSTWLduHTa6KXA+//zzmDx5ssv0srKyoHhytLdLVwBA1317bf8nIiIiIiIiSzmpsdPr9dDpdIrKoEFfFT85ORnFTk/8iouLERcXh8jISCQkJECtVsvOk5yc7DbdCRMmoKyszPb3xx9/1Ev+iYiIiIiIiC5G0BfsMzIykJeX5zBt9erVtrfz4eHh6N27t8M8ZrMZeXl5Dm/wnWm1WlsP+KHcEz4REREREREFt0ZXsK+oqMD27duxfft2AJbh7LZv345j59tHT5gwASNHjrTNP27cOBw+fBhPPvkk9u3bh/feew+ffvopHn30Uds82dnZ+PDDD7FgwQLs3bsX48ePR2Vlpa2XfCIiIiIiIqJg1eg6z9uyZQtuueUW2+fs7GwAwKhRozB//nycPHnSVsgHgNTUVKxYsQKPPvoo3nrrLbRp0wazZ8+2DXUHAEOHDsWpU6cwadIkFBUVoVevXsjNzXXpUI+IiIiIiIgo2DTqzvMaE186LmgM2HkeERERERGRPHaeR0RERERERESNBgv2REREREREREGMBXsiIiIiIiKiIMaCPREREREREVEQY8GeiIiIiIiIKIixYE9EREREREQUxFiwJyIiIiIiIgpiLNgTERERERERBTEW7ImIiIiIiIiCGAv2REREREREREGMBXsiIiIiIiKiIMaCPREREREREVEQY8GeiIiIiIiIKIixYE9EREREREQUxDQXm8DBgwfx5Zdf4ujRo5AkCampqRg8eDA6duwYiPwRERERERERkQcXVbCfMmUKJk2aBLPZjMTERAghcOrUKTz99NN4+eWX8fjjjwcqn0REREREREQkw++q+GvWrMHEiRPx7LPP4vTp0zh58iSKiopsBfunn34aP/74YyDzSkRERERERERO/C7Yz5o1C/fddx+ef/55xMfH26Y3b94cL7zwAv75z39i5syZfqU9Y8YMdOjQAREREUhPT8emTZvczvunP/0JkiS5/A0cONA2z+jRo12+79+/v195IyIiIiIiImpM/C7Yb9q0Cffcc4/b7++55x5s2LDB53SXLl2K7Oxs5OTkYOvWrejZsyeysrJQUlIiO//y5ctx8uRJ29+uXbugVqtx1113OczXv39/h/k++eQTn/NGRERERERE1Nj4XbAvLi5Ghw4d3H6fmpqKoqIin9OdNm0axo4dizFjxiAtLQ2zZs1CVFQU5s6dKzt/8+bNkZycbPtbvXo1oqKiXAr2Wq3WYT77WgZEREREREREwcrvgn1NTQ3Cw8Pdfh8WFgaDweBTmgaDAQUFBcjMzLyQQZUKmZmZyM/PV5TGnDlzMGzYMERHRztMX7t2LRITE9G5c2eMHz8eZ86c8ZhObW0t9Hq9wx8RERERERFRY3NRveLPnj0bMTExst+Vl5f7nN7p06dhMpmQlJTkMD0pKQn79u3zuvymTZuwa9cuzJkzx2F6//79MWTIEKSmpuK3337DM888gwEDBiA/Px9qtVo2rSlTpmDy5Mk+rwMRERERERHRpeR3wb5du3b48MMPvc5zKc2ZMwfdu3dH3759HaYPGzbM9v/u3bujR48euOyyy7B27Vr069dPNq0JEyYgOzvb9lmv16Nt27b1k3EiIiIiIiIiP/ldsD969GgAs2GRkJAAtVqN4uJih+nFxcVITk72uGxlZSWWLFmCF154wevvdOzYEQkJCTh06JDbgr1Wq4VWq1WeeSIiIiIiIqIG4Hcb+/oQHh6O3r17Iy8vzzbNbDYjLy8PGRkZHpddtmwZamtrcffdd3v9ncLCQpw5cwatWrW66DwTERERERERNSS/39jbV1O3p9Pp0KlTJwwZMsSvN97Z2dkYNWoU+vTpg759+2L69OmorKzEmDFjAAAjR45E69atMWXKFIfl5syZg8GDB6NFixYO0ysqKjB58mTceeedSE5Oxm+//YYnn3wSl19+ObKysnzOHxEREREREVFj4nfBftu2bbLTS0tLcejQITz33HP44YcffG5nP3ToUJw6dQqTJk1CUVERevXqhdzcXFuHeseOHYNK5VjRYP/+/fj555+xatUql/TUajV27NiBBQsWoLS0FCkpKbjtttvw4osvsqo9ERERERERBT1JCCECnaher8eIESMQGxuLxYsXBzr5BqHX66HT6VBWVoa4uLiGzo5Xe7t0BQB03bfX9n8iIiIiIiKylJMaO1/KoPXSxj4uLg7PPfccfvnll/pInoiIiIiIiIjOq7fO8xISEnD27Nn6Sp6IiIiIiIiIUI8F+w0bNuCyyy6rr+SJiIiIiIiICBfRed6OHTtkp5eVlaGgoAAvv/wycnJy/M4YEREREREREXnnd8G+V69ekCQJcn3vJSQkIDs7G+PHj7+ozBERERERERGRZ34X7I8cOSI7PS4uDvHx8X5niIiIiIiIiIiU87tg3759e4/fm81mrFy5Erfffru/P0FEREREREREXvhdsHfn0KFDmDt3LubPn49Tp06hrq4u0D9BREREREREROcFpFf86upqLFy4EDfddBM6d+6M9evXY9KkSSgsLAxE8kRERERERETkxkW9sd+8eTNmz56NJUuW4LLLLsOIESOwfv16vPfee0hLSwtUHomIiIiIiIjIDb8L9j169IBer8c//vEPrF+/Ht26dQMAPP300wHLHBERERERERF55ndV/P379+Omm27CLbfcwrfzRERERERERA3E74L94cOH0blzZ4wfPx5t2rTB448/jm3btkGSpEDmj4iIiIiIiIg88Ltg37p1azz77LM4dOgQPvroIxQVFeH666+H0WjE/PnzceDAgUDmk4iIiIiIiIhkBKRX/FtvvRWLFi3CyZMn8e677+KHH35Aly5d0KNHj0AkT0RERERERERuBKRgb6XT6fDAAw9gy5Yt2Lp1KzIyMgKZPBERERERERE5CWjB3qq2thY//PADvvzyS7+WnzFjBjp06ICIiAikp6dj06ZNbuedP38+JEly+IuIiHCYRwiBSZMmoVWrVoiMjERmZiYOHjzoV96IiIiIiIiIGhO/C/a1tbWYMGEC+vTpg+uuuw5ffPEFAGDevHlITU3Fm2++iUcffdTndJcuXYrs7Gzk5ORg69at6NmzJ7KyslBSUuJ2mbi4OJw8edL29/vvvzt8/9prr+Htt9/GrFmzsHHjRkRHRyMrKws1NTU+54+IiIiIiIioMfG7YD9p0iTMnDkTHTp0wNGjR3HXXXfh/vvvx5tvvolp06bh6NGjeOqpp3xOd9q0aRg7dizGjBmDtLQ0zJo1C1FRUZg7d67bZSRJQnJysu0vKSnJ9p0QAtOnT8fEiRMxaNAg9OjRAwsXLsSJEydsDyNCmRCiobNARERERERE9cjvgv2yZcuwcOFCfPbZZ1i1ahVMJhOMRiN+/fVXDBs2DGq12uc0DQYDCgoKkJmZeSGDKhUyMzORn5/vdrmKigq0b98ebdu2xaBBg7B7927bd0eOHEFRUZFDmjqdDunp6R7TJCIiIiIiIgoGfhfsCwsL0bt3bwDAlVdeCa1Wi0cfffSixrE/ffo0TCaTwxt3AEhKSkJRUZHsMp07d8bcuXPx5ZdfYtGiRTCbzbjuuutQWFgIALblfEkTsDQ10Ov1Dn9EREREREREjY3fBXuTyYTw8HDbZ41Gg5iYmIBkyhcZGRkYOXIkevXqhZtvvhnLly9Hy5Yt8f77719UulOmTIFOp7P9tW3bNkA5JiIiIiIiIgocjb8LCiEwevRoaLVaAEBNTQ3GjRuH6Ohoh/mWL1+uOM2EhASo1WoUFxc7TC8uLkZycrKiNMLCwnDVVVfh0KFDAGBbrri4GK1atXJIs1evXm7TmTBhArKzs22f9Xp9cBbu2caeiIiIiIgopPn9xn7kyJFITEy0vdG+++67kZKS4vCWW6fT+ZRmeHg4evfujby8PNs0s9mMvLw8ZGRkKErDZDJh586dtkJ8amoqkpOTHdLU6/XYuHGjxzS1Wi3i4uIc/oiIiIiIiIgaG7/f2M+fPz+A2bggOzsbo0aNQp8+fdC3b19Mnz4dlZWVGDNmDADLA4XWrVtjypQpAIAXXngB1157LS6//HKUlpbi9ddfx++//4777rsPgKXH/EceeQT//e9/ccUVVyA1NRXPPfccUlJSMHjw4HpZByIiIiIiIqJLxe+C/eHDh5GamnpRneXJGTp0KE6dOoVJkyahqKgIvXr1Qm5urq3zu2PHjkGlulDR4Ny5cxg7diyKiooQHx+P3r17Y/369UhLS7PN8+STT6KyshL3338/SktLccMNNyA3NxcREREBzTsRERERERHRpSYJPwc6V6vVOHnyJBITEwFYCuRvv/22S+/zoUKv10On06GsrCwoquXv7dIVANBl9y7s63ZlA+eGiIiIiIio8ei6b29DZ8ErX8qgfrexd34esHLlSlRWVvqbHBERERERERH5we+CPRERERERERE1PL8L9pIkubSvD3R7eyIiIiIiIiLyrFGNY0/1gOPYExERERERhTS/C/ajRo1y+Hz33XdfdGaIiIiIiIiIyDd+F+znzZvn0/yFhYVISUlxGKqOiIiIiIiIiC7OJStlp6Wl4ejRo5fq58iKVfGJiIiIiIhC2iUr2DsPj0dEREREREREF4/14omIiIiIiIiCGAv2REREREREREGMBftQxyYQREREREREIe2SFewlSbpUP0VERERERETUZLDzPCIiIiIiIqIg5nfBvqSkxOs8P/30k+3/e/bsQfv27f39OSIiIiIiIiKS4XfB/sorr8Rnn30m+111dTUefvhh9OvXzzatbdu2UKvV/v4c+Yn1JIiIiIiIiEKb3wX7p556CiNHjsTw4cNx7tw52/SffvoJ3bt3R25uLtasWROQTBIRERERERGRPL8L9o899hi2bNmCQ4cOoVu3bvjss8/wn//8B7feeiv+8pe/4Ndff8X1118fyLwSERERERERkZOL6jwvLS0NGzZswE033YShQ4di7ty5+P777/H2228jMjLS73RnzJiBDh06ICIiAunp6di0aZPbeT/88EPceOONiI+PR3x8PDIzM13mHz16NCRJcvjr37+/3/kjIiIiIiIiaiwuqmBfV1eH5557DsuXL8fQoUMRFhaGl19+GYWFhX6nuXTpUmRnZyMnJwdbt25Fz549kZWV5bazvrVr12L48OFYs2YN8vPz0bZtW9x22204fvy4w3z9+/fHyZMnbX+ffPKJ33kMKhyNgIiIiIiIKKT5XbDfvn07rr76aixZsgTfffcdFi9ejJ07d0KtVuPKK6/EnDlz/Ep32rRpGDt2LMaMGYO0tDTMmjULUVFRmDt3ruz8H3/8MR544AH06tULXbp0wezZs2E2m5GXl+cwn1arRXJysu0vPj7er/wRERERERERNSZ+F+zT09ORkZGBHTt24JZbbgEAtG7dGitXrsTUqVORnZ2Nv/zlLz6laTAYUFBQgMzMzAsZVKmQmZmJ/Px8RWlUVVWhrq4OzZs3d5i+du1aJCYmonPnzhg/fjzOnDnjMZ3a2lro9XqHPyIiIiIiIqLGxu+C/RdffIEPPvgAMTExLt/dd9992LFjB+rq6nxK8/Tp0zCZTEhKSnKYnpSUhKKiIkVpPPXUU0hJSXF4ONC/f38sXLgQeXl5ePXVV7Fu3ToMGDAAJpPJbTpTpkyBTqez/bVt29andWk0WBWfiIiIiIgopGn8XXDz5s24+eabERUVJft9+/btsXr1ar8z5o9XXnkFS5Yswdq1axEREWGbPmzYMNv/u3fvjh49euCyyy7D2rVr0a9fP9m0JkyYgOzsbNtnvV4fvIV7IiIiIiIiCll+v7GfPHkyKioqApkXJCQkQK1Wo7i42GF6cXExkpOTPS47depUvPLKK1i1ahV69Ojhcd6OHTsiISEBhw4dcjuPVqtFXFycwx8RERERERFRY+N3wV7UQxXv8PBw9O7d26HjO2tHeBkZGW6Xe+211/Diiy8iNzcXffr08fo7hYWFOHPmDFq1ahWQfBMRERERERE1lIsa7k6SpEDlwyY7OxsffvghFixYgL1792L8+PGorKzEmDFjAAAjR47EhAkTbPO/+uqreO655zB37lx06NABRUVFKCoqstUmqKiowBNPPIENGzbg6NGjyMvLw6BBg3D55ZcjKysr4PlvdNjGnoiIiIiIKKT53cYeADp16uS1cH/27Fmf0hw6dChOnTqFSZMmoaioCL169UJubq6tQ71jx45BpbrwPGLmzJkwGAz4+9//7pBOTk4Onn/+eajVauzYsQMLFixAaWkpUlJScNttt+HFF1+EVqv1KW9EREREREREjY0k/KxTr1KpMH36dOh0Oo/zjRo1yq+MNTZ6vR46nQ5lZWVB0d5+b5euAIDO27Zi/1VXN3BuiIiIiIiIGo+u+/Y2dBa88qUMelFv7IcNG4bExMSLSYKIiIiIiIiILoLfbezro3091QO2sSciIiIiIgppjapXfCIiIiIiIiLyjd9V8c1mcyDzQURERERERER+uKjh7oiIiIiIiIioYbFgH+rYZIKIiIiIiCiksWBPREREREREFMRYsCciIiIiIiIKYizYExEREREREQUxFuxDHJvYExERERERhTYW7ImIiIiIiIiCGAv2REREREREREGMBfuQx7r4REREREREoYwFeyIiIiIiIqIgxoI9ERERERERURBjwZ6IiIiIiIgoiDXKgv2MGTPQoUMHREREID09HZs2bfI4/7Jly9ClSxdERESge/fuWLlypcP3QghMmjQJrVq1QmRkJDIzM3Hw4MH6XIXGg+PdERERERERhbRGV7BfunQpsrOzkZOTg61bt6Jnz57IyspCSUmJ7Pzr16/H8OHDce+992Lbtm0YPHgwBg8ejF27dtnmee211/D2229j1qxZ2LhxI6Kjo5GVlYWamppLtVpERERERERE9UISonG90k1PT8c111yDd999FwBgNpvRtm1b/Pvf/8bTTz/tMv/QoUNRWVmJb775xjbt2muvRa9evTBr1iwIIZCSkoLHHnsMjz/+OACgrKwMSUlJmD9/PoYNG6YoX3q9HjqdDmVlZYiLiwvAmtavvV26AgA6bd6EA9f0beDcEBERERERNR5d9+1t6Cx45UsZtFG9sTcYDCgoKEBmZqZtmkqlQmZmJvLz82WXyc/Pd5gfALKysmzzHzlyBEVFRQ7z6HQ6pKenu02TiIiIiIiIKFhoGjoD9k6fPg2TyYSkpCSH6UlJSdi3b5/sMkVFRbLzFxUV2b63TnM3j5za2lrU1tbaPuv1euUr0oD0361C1ZYtts8lU99owNwQERERERE1PqbycqhjYxs6GwHTqAr2jcmUKVMwefLkhs6Gz6L6XoOIbt0Q/4/hEHV1UEVFo/noUTBXVUHUGqBpHg8hBERdHWAyQdTWQhUbCwiB04XH0bxFc6hiYiAMdZBUkmU5gwFSZBRUUVEQtTUwV1QAKhVU0dGQwsNh1uthrjVAFRUFKTwcoroKkCSYyiugio6CWqeD6exZCJMZACCpVVDFxsF07qytcz9VTAygUsFcVgZhMkMdGwNVnA7minKYa2ogSRLUzZrBXF0NCAFTeQUklQRVbBwAYZluMgFCQKXTQVRVQRiNlrTj4iCFhcF0rhSQAGGog1oXB2E0wlxVBSksDOrYWEhaLUylpTBXVFi2CQApLBzG06egCg8HNBpIGg2Eoc6y/SQJqqhISOGW5SSVBCk83DKP0QhzZSWg1kAVHQUpLByizgBzRSUgSVDrdJbP1dWAWUAVoYUUEWFZzrp9o6IgacJgLtdDmAVUkRGQwrUAYJlmMtvSNldWwlxTDUmlghQRgdLKSujCwiGMdZDUakhh4YDZBFFXB2EyQRUdA1WEFia9HjCbLfnUhkOKjLKsr1YLKSwMklZry5OkVgOSZR3NVdWA2QRJq4UqOgYwm2A8cxZSmAaq6BjL9i49B0CybEdtOFTh4TCePWfZRmoVpLAwCKMJwmQETCaooqMt+TMYLDuzZNnHYDLCXFMLSaOGqKuDukULmPV6S3xVKkhqDdS6OJj05RC1NZDCtVDr4mCuroEwGCAMtYAQUCckQNTUwFxZCSlca8lTRARMZWWWfTw8HOr45jCdOQ1hMkGYTFDHWNbFXFkJYTRC0mggRURa0gQAISDMZqjj4mA6d87y2WSGKirSknZ5BSBJlt9v1swSNyEgqVSASg11Mx3MVVUwl5cDarVlX4yJQV1JiWVfjo5GWa0B8bExMFVWAkYjoNFA07IljCdPWo5Jk8lyjJXpLduvrg7q2BhIkVGWfBsMkLThUOt0MJ46bdnuhlpIGg2gUkMKD7uwz0VGApBg0pdB0oRB0qihjouDucayLc3V1ZDCwqGOjbFsX5MRwmCAKiIC6ubNYTp3DqLOCClMY0vfXFkJqCTbhdNcUQGzwWBbV2E2QxjqYK6qtKTTogVMpaUQ5x+sSmHhUDePh7HkFGAyWvKsDQeM5/eLsDBoWjSHFBkJY3ExRJ0RqqhIy7lFpbbsP7UGQALUumYwV1VC1NRYfl+ngzCZYSotBYQZkCRoWrSAubbWEhOVGpJaBU1SEoynT8NcUQl13PkbAJXadiwCQFjbdjCVlcJcWQVhrIMqIuL8+U4NU0WFZT2aNcPZUyXQqVSWY0mjgTo+Hubqast2kqzHvdqyfWtrIIVb9lNx/nwt6uoghYVBFRNjOQ6FGcJstiynVlv2p6oqSOFay35y6hREneWYUkVFQxUTDWNxCaCSoIqIhDouFuaaGkCSYK6sgqRRA5LKsv3MJstysXGWc391teV4qKmBKjLq/DmkHKLOALVOZ8lTRcWFYyw83HKuFGbAbIYUEQFAskwzm84fK1EQhlrLeV6lAtRqqKKiLIdXba0lnhFaqGJjYbT2taNWQxUZBUmtgvHcOcv5SqOxnHfKK6CK0Fr2jfBwSOFhgNEIU0WFZb7ISEgqFUz68gvnsKio8/u45bonRUYCZjNM5eWQ1BpAJSEsKQnGs2ctx1htLVQxMSjV66GLiLTEW6tFWEoKTHo9TOfOWc6fGg2g0UDUWtYPADQtWwJ1dTCVV0CYjBfOX+XlkNRqiNpaSJGRUEVGwlxVDXN1FSRJspwLVWrLOa3OACks3LJ9DQbLPmA0Wc6rEREXroeSBE1ikuX6UFFuOVdFR9tiaD3Xqlu0gCoqynKMnb9OaJKSIaqrYDx3Djh/jlPF6WA6dw7mqiqoIiMs5wu1xnJeO79fqlskwFxZCVNZKSSN9XqggbmyCubqKqgiLMvZzmeSBFVUFFTR0TCePm25zqhUUEVEQIqMhOlcqW1/0SS3gllfBnNVFaBSQR0XZzl/nN++0vnrk6SNgKiphtlggNp6/dfrLfmOiLRct9VqSx7MZtu2LC3XI9ZksqQdHQ1hMkMKD7Psh0YjVDExUEVFwXSuFOaaaku+I6NgrrbcX0ElQR0dbVmXs+dgrqq0nGOMlmucubbWdl5VRUZa7mPUKsu9kRBQx8Va9ksIQFJB3azZheu90QRVhBZQq2GurrZsEwBqne78/qy3XDOiLPdqprIyQAiYz5+fpXAtRE01IEkQRhOgkiz7W50RwmS0XOu0WkvatbWASgWYBdSxMRB1dZZjPjr6/HlVZTnP1Rks907nr5HmmlrbsQqTCabKSsu5KjzcEiejETALy/6rVkPTsiXqiorPX0vNUMXEQhWhhfHMWcvnyEiodDqYzp47fz6osRy/YWEwl5db9n+TCeq48/dTVdWWtDUa6CHBWmFZCgu7cK2tqACEsNtXz5+v1GrLfVBMNIwlJZb9KCzMck6trLRd61UREZA0GpgNBsBksqzf+WPTdO4chMkIVXg4VLFxlm1SXQUpPBya5s0BAMazZ88fmyrL/dv52AmjEaroGKjjm8F09iwgqSzHYfN4CJMZxtOnALNlG1nuX02WY/r8cR/WqhUMhcct8Tl/vyyqqyzXPpPlXkmTkGCJb03NhWNDozl/ba+BOjYGUGssx051NaBSW+5Nw8Nt123L9UljuV8+a7mHV0VGWu4VDQaY9OWQtOGW/VwlQQgBc0Wl5R6kWTPAbIa5osKyLc9fQ4xnzlr2eSFs1w1TWSmk8HDLPh6nw5mjR9CseXOIWsu9mioywnL/WFN94f41PBzGc+cgSRKg1kDTPN6ybU0mSNb7G7XGEvOaGsv1r5nu/H1P6GhUBfuEhASo1WoUFxc7TC8uLkZycrLsMsnJyR7nt/5bXFyMVq1aOczTq1cvt3mZMGECsrOzbZ/1ej3atm3r0/o0BE18PBAf79ey52pq0PrKKwOco/M6dqyfdEnWkV276i+WIa9TQ2cAEWlptv8f2bULKXKx7ORHPjt3vohcNTAF66tNTa23n9cG6Bx2bpe4tMdmZ5nt1q3bpfv9QOrSpUF/Xuv0OdTOs/V5/ASDw+7OtX5w3ldInvaKK+ol3aMXE8sgPT+Gd+jQ0FmoN6US0CaEzrX1qVG1sQ8PD0fv3r2Rl5dnm2Y2m5GXl4eMjAzZZTIyMhzmB4DVq1fb5k9NTUVycrLDPHq9Hhs3bnSbJgBotVrExcU5/IW6Fi1aNHQWKEAYy9DBWIYWxjN0MJahhfEMHYxlaGE8lWtUb+wBIDs7G6NGjUKfPn3Qt29fTJ8+HZWVlRgzZgwAYOTIkWjdujWmTJkCAPjPf/6Dm2++GW+88QYGDhyIJUuWYMuWLfjggw8AAJIk4ZFHHsF///tfXHHFFUhNTcVzzz2HlJQUDB48uKFWk4iIiIiIiCggGl3BfujQoTh16hQmTZqEoqIi9OrVC7m5ubbO744dOwaV6kJFg+uuuw6LFy/GxIkT8cwzz+CKK67AF198gSvtqmw8+eSTqKysxP3334/S0lLccMMNyM3NRcT5NpBKWEcFDJZO9Pzx+++/Izo6uqGzQQHAWIYOxjK0MJ6hg7EMLYxn6GAsQ0tTj6e17KlkhPpGN459Y1VYWBgUbeyJiIiIiIgodPzxxx9o06aNx3lYsFfIbDbjxIkTiI2NtfS4GGKsnQP+8ccfTaI/gVDGWIYOxjK0MJ6hg7EMLYxn6GAsQwvjaXlTX15ejpSUFIda63IaXVX8xkqlUnl9ShIKmkpHgU0BYxk6GMvQwniGDsYytDCeoYOxDC1NPZ46nU7RfI2qV3wiIiIiIiIi8g0L9kRERERERERBjAV7AgBotVrk5ORAq9U2dFboIjGWoYOxDC2MZ+hgLEML4xk6GMvQwnj6hp3nEREREREREQUxvrEnIiIiIiIiCmIs2BMREREREREFMRbsiYiIiIiIiIIYC/ZEREREREREQYwF+0tsypQpuOaaaxAbG4vExEQMHjwY+/fvd5inpqYGDz74IFq0aIGYmBjceeedKC4udpjn4YcfRu/evaHVatGrVy/Z3/ruu+9w7bXXIjY2Fi1btsSdd96Jo0ePes3jsmXL0KVLF0RERKB79+5YuXKl23nHjRsHSZIwffp0r+keO3YMAwcORFRUFBITE/HEE0/AaDTKzvvLL79Ao9G4XbfGoKnG8tdff8Xw4cPRtm1bREZGomvXrnjrrbdc5psxYwa6du2KyMhIdO7cGQsXLvSa34YSCrEcPXo0JEly+Ovfv7/HNJXG0ioYjksgNOIJAHv37sUdd9wBnU6H6OhoXHPNNTh27JjHdF966SVcd911iIqKQrNmzWTn2bx5M/r164dmzZohPj4eWVlZ+PXXX73muSGEQiydj0vr3+uvv+4xXW953r9/P2655RYkJSUhIiICHTt2xMSJE1FXV+c1zw0lFOJZUVGBhx56CG3atEFkZCTS0tIwa9Ysr+mePXsWI0aMQFxcHJo1a4Z7770XFRUVtu+ff/552f0kOjraa9oNIRRiWVxcjNGjRyMlJQVRUVHo378/Dh486DVdb7GsqanB6NGj0b17d2g0GgwePNhrmg2tqcbz6NGjuPfee5GamorIyEhcdtllyMnJgcFgcJhPCIGpU6eiU6dO0Gq1aN26NV566SWveb7UWLC/xNatW4cHH3wQGzZswOrVq1FXV4fbbrsNlZWVtnkeffRRfP3111i2bBnWrVuHEydOYMiQIS5p/fOf/8TQoUNlf+fIkSMYNGgQbr31Vmzfvh3fffcdTp8+LZuOvfXr12P48OG49957sW3bNgwePBiDBw/Grl27XOb9/PPPsWHDBqSkpHhdb5PJhIEDB8JgMGD9+vVYsGAB5s+fj0mTJrnMW1paipEjR6Jfv35e021ITTWWBQUFSExMxKJFi7B79248++yzmDBhAt59913bPDNnzsSECRPw/PPPY/fu3Zg8eTIefPBBfP31117TbwihEsv+/fvj5MmTtr9PPvnEY7pKYmkVLMclEBrx/O2333DDDTegS5cuWLt2LXbs2IHnnnsOERERHtM2GAy46667MH78eNnvKyoq0L9/f7Rr1w4bN27Ezz//jNjYWGRlZTXKAmEoxNL+mDx58iTmzp0LSZJw5513el1/T3kOCwvDyJEjsWrVKuzfvx/Tp0/Hhx9+iJycHK/pNpRQiGd2djZyc3OxaNEi7N27F4888ggeeughfPXVVx7THjFiBHbv3o3Vq1fjm2++wY8//oj777/f9v3jjz/usq+kpaXhrrvu8phuQwn2WAohMHjwYBw+fBhffvkltm3bhvbt2yMzM9NhHeR4i6XJZEJkZCQefvhhZGZmekyrsWiq8dy3bx/MZjPef/997N69G2+++SZmzZqFZ555xmG+//znP5g9ezamTp2Kffv24auvvkLfvn095rlBCGpQJSUlAoBYt26dEEKI0tJSERYWJpYtW2abZ+/evQKAyM/Pd1k+JydH9OzZ02X6smXLhEajESaTyTbtq6++EpIkCYPB4DY///d//ycGDhzoMC09PV3861//cphWWFgoWrduLXbt2iXat28v3nzzTY/ruXLlSqFSqURRUZFt2syZM0VcXJyora11mHfo0KFi4sSJbtetsWoqsZTzwAMPiFtuucX2OSMjQzz++OMO82RnZ4vrr7/e57QbQjDGctSoUWLQoEFKV9Et51haBetxKURwxnPo0KHi7rvvVryOzubNmyd0Op3L9M2bNwsA4tixY7ZpO3bsEADEwYMH/f69SyUYY+ls0KBB4tZbb3X7vdI8y3n00UfFDTfcoDjthhaM8ezWrZt44YUXHOa5+uqrxbPPPus23T179ggAYvPmzbZp3377rZAkSRw/flx2me3btwsA4scff3SbbmMSbLHcv3+/ACB27dpl+95kMomWLVuKDz/80G26vsYyUNfmS62pxFPOa6+9JlJTU22f9+zZIzQajdi3b59P6TQEvrFvYGVlZQCA5s2bA7C8Qaurq3N4wtelSxe0a9cO+fn5itPt3bs3VCoV5s2bB5PJhLKyMnz00UfIzMxEWFiY2+Xy8/Ndni5mZWU5/LbZbMY999yDJ554At26dVOUn/z8fHTv3h1JSUkO6er1euzevds2bd68eTh8+HCjfuPgTlOJpZyysjLbegNAbW2ty5vFyMhIbNq0qVG+FXQWjLEEgLVr1yIxMRGdO3fG+PHjcebMGcV5s3KOJRDcxyUQfPE0m81YsWIFOnXqhKysLCQmJiI9PR1ffPGF4ry507lzZ7Ro0QJz5syBwWBAdXU15syZg65du6JDhw4XnX59C7ZYOisuLsaKFStw7733Ks6bUocOHUJubi5uvvnmgKddX4Ixntdddx2++uorHD9+HEIIrFmzBgcOHMBtt93mMd1mzZqhT58+tmmZmZlQqVTYuHGj7DKzZ89Gp06dcOONNypd7QYVbLGsra0FAId7FZVKBa1Wi59//tljur7GMhg1lXjKcb4P+vrrr9GxY0d88803SE1NRYcOHXDffffh7NmzPqV7KbBg34DMZjMeeeQRXH/99bjyyisBAEVFRQgPD3dpG5mUlISioiLFaaempmLVqlV45plnoNVq0axZMxQWFuLTTz/1uFxRUZFD4Vvut1999VVoNBo8/PDDivPjLl3rdwBw8OBBPP3001i0aBE0Go3itBuDphRLZ+vXr8fSpUsdqqFlZWVh9uzZKCgogBACW7ZswezZs1FXV4fTp0/7/VuXQrDGsn///li4cCHy8vLw6quvYt26dRgwYABMJpPi/MnFMpiPSyA441lSUoKKigq88sor6N+/P1atWoW//e1vGDJkCNatW6c4f3JiY2Oxdu1aLFq0CJGRkYiJiUFubi6+/fbbRh/fYIylswULFiA2NtZrtVNfXHfddYiIiMAVV1yBG2+8ES+88ELA0q5PwRrPd955B2lpaWjTpg3Cw8PRv39/zJgxAzfddJPHdBMTEx2maTQaNG/eXHa9ampq8PHHH9fLA6D6EIyxtBZKJ0yYgHPnzsFgMODVV19FYWEhTp486TFdX2IZjJpSPJ0dOnQI77zzDv71r3/Zph0+fBi///47li1bhoULF2L+/PkoKCjA3//+d8XpXios2DegBx98ELt27cKSJUsCnnZRURHGjh2LUaNGYfPmzVi3bh3Cw8Px97//HUIIHDt2DDExMba/l19+WVG6BQUFeOuttzB//nxIkiQ7z4ABA2zpKn0LbDKZ8I9//AOTJ09Gp06dFK9nY9FUY7lr1y4MGjQIOTk5Dm8rnnvuOQwYMADXXnstwsLCMGjQIIwaNQqA5QlqYxaMsQSAYcOG4Y477kD37t0xePBgfPPNN9i8eTPWrl0LwL9YBvtxCQRnPM1mMwBg0KBBePTRR9GrVy88/fTTuP32222ddI0bN84hbaWqq6tx77334vrrr8eGDRvwyy+/4Morr8TAgQNRXV3t+0a4hIIxls7mzp2LESNGOLxV8ueaaW/p0qXYunUrFi9ejBUrVmDq1Kl+5e1SC9Z4vvPOO9iwYQO++uorFBQU4I033sCDDz6I77//HoD/x6a9zz//HOXl5bbrZmMXjLEMCwvD8uXLceDAATRv3hxRUVFYs2YNBgwYYLtPCUQsg1FTjefx48fRv39/3HXXXRg7dqxtutlsRm1tLRYuXIgbb7wRf/rTnzBnzhysWbPGpYPBhta4H8+HsIceesjW4UabNm1s05OTk2EwGFBaWurwVKy4uBjJycmK058xYwZ0Oh1ee+0127RFixahbdu22LhxI/r06YPt27fbvrNWOUlOTnbp4dL+t3/66SeUlJSgXbt2tu9NJhMee+wxTJ8+HUePHsXs2bNtN4jWajXJycnYtGmTS7rW78rLy7FlyxZs27YNDz30EADLgSSEgEajwapVq3DrrbcqXv9LqanF0mrPnj3o168f7r//fkycONHhu8jISMydOxfvv/8+iouL0apVK3zwwQe2HlAbq2CNpZyOHTsiISEBhw4dQr9+/fyKZTAfl0DwxjMhIQEajQZpaWkO83Tt2tVWpfCFF17A448/rjivVosXL8bRo0eRn59vu9lZvHgx4uPj8eWXX2LYsGE+p3kpBGss7f3000/Yv38/li5d6jDd07GpRNu2bQEAaWlpMJlMuP/++/HYY49BrVb7nNalEqzxrK6uxjPPPIPPP/8cAwcOBAD06NED27dvx9SpU5GZmSl7bCYnJ6OkpMRhmtFoxNmzZ2XXa/bs2bj99ttd3lA2RsEaS8BSLXz79u0oKyuDwWBAy5YtkZ6ebqtmH4hYBpumFk+rEydO4JZbbsF1112HDz74wOG7Vq1aQaPROLzg6Nq1KwDLiF+dO3dWvP71jQX7S0wIgX//+9/4/PPPsXbtWqSmpjp837t3b4SFhSEvL8/WY+7+/ftx7NgxZGRkKP6dqqoqlzej1ou82WyGRqPB5Zdf7rJcRkYG8vLy8Mgjj9imrV692vbb99xzj2wbl3vuuQdjxowBALRu3Vo23ZdeegklJSW2KkyrV69GXFwc0tLSEBYWhp07dzos89577+GHH37AZ5995rKdGoOmGksA2L17N2699VaMGjXK43AfYWFhtgvDkiVLcPvttzfKN/bBHks5hYWFOHPmDFq1agXAv1jGxcUF3XEJBH88w8PDcc0117i8CThw4ADat28PAEhMTHSpDupLnu1r6Vg/W2sKNCbBHkt7c+bMQe/evdGzZ0+H6e6OTX+YzWbU1dXBbDY3yoJ9sMezrq4OdXV1smlbjx+5YzMjIwOlpaUoKChA7969AQA//PADzGYz0tPTHeY9cuQI1qxZ47WX/YYW7LG0p9PpAFianm3ZsgUvvvgigIuPZTBpqvEELG/qb7nlFvTu3Rvz5s1zyd/1118Po9GI3377DZdddhkAy/UYgO2a3Ghc2r76aPz48UKn04m1a9eKkydP2v6qqqps84wbN060a9dO/PDDD2LLli0iIyNDZGRkOKRz8OBBsW3bNvGvf/1LdOrUSWzbtk1s27bN1sN8Xl6ekCRJTJ48WRw4cEAUFBSIrKws0b59e4ffcvbLL78IjUYjpk6dKvbu3StycnJEWFiY2Llzp9tllPSkbjQaxZVXXiluu+02sX37dpGbmytatmwpJkyY4HaZxt77dlON5c6dO0XLli3F3Xff7bDeJSUltnn2798vPvroI3HgwAGxceNGMXToUNG8eXNx5MgRj2k3lGCPZXl5uXj88cdFfn6+OHLkiPj+++/F1VdfLa644gpRU1PjNl0lsXTW2I9LIYI/nkIIsXz5chEWFiY++OADcfDgQfHOO+8ItVotfvrpJ4/r/vvvv4tt27aJyZMni5iYGFuey8vLhRCWXoy1Wq0YP3682LNnj9i1a5e4++67hU6nEydOnPB5W9e3UIilEEKUlZWJqKgoMXPmTMXr7i3PixYtEkuXLhV79uwRv/32m1i6dKlISUkRI0aMUPwbl1ooxPPmm28W3bp1E2vWrBGHDx8W8+bNExEREeK9997zuO79+/cXV111ldi4caP4+eefxRVXXCGGDx/uMt/EiRNFSkqKMBqNirZpQwmFWH766adizZo14rfffhNffPGFaN++vRgyZIjXdVcSy927d4tt27aJv/71r+JPf/qTbb0aq6Yaz8LCQnH55ZeLfv36icLCQod1tzKZTOLqq68WN910k9i6davYsmWLSE9PF3/+85992saXAgv2lxgA2b958+bZ5qmurhYPPPCAiI+PF1FRUeJvf/ubww4mhOXCIpeOfcHpk08+EVdddZWIjo4WLVu2FHfccYfYu3ev1zx++umnolOnTiI8PFx069ZNrFixwuP8SodIO3r0qBgwYICIjIwUCQkJ4rHHHhN1dXVu52/sBYimGsucnBzZ/LZv3942z549e0SvXr1EZGSkiIuLE4MGDWrUw4QEeyyrqqrEbbfdJlq2bCnCwsJE+/btxdixYx2Gl5SjJJZyyzTm41KI4I+n1Zw5c8Tll18uIiIiRM+ePcUXX3zhNd1Ro0bJ5nnNmjW2eVatWiWuv/56odPpRHx8vLj11ltlhytqDEIllu+//76IjIwUpaWlitfdW56XLFkirr76ahETEyOio6NFWlqaePnll0V1dbXi37jUQiGeJ0+eFKNHjxYpKSkiIiJCdO7cWbzxxhvCbDZ7TPfMmTNi+PDhIiYmRsTFxYkxY8bYHrhZmUwm0aZNG/HMM894zWdDC4VYvvXWW6JNmzYiLCxMtGvXTkycONFlCGY5SmLZvn172fVqrJpqPOfNm+d23e0dP35cDBkyRMTExIikpCQxevRocebMGa95vtQkIYQAEREREREREQWlxtfYlYiIiIiIiIgUY8GeiIiIiIiIKIixYE9EREREREQUxFiwJyIiIiIiIgpiLNgTERERERERBTEW7ImIiIiIiIiCGAv2REREREREREGMBXsiIiIiIiKiIMaCPREREREREVEQY8GeiIiIiIiIKIixYE9EREREREQUxFiwJyIiIiIiIgpi/w+pA0k6UkNjAAAAAABJRU5ErkJggg==", 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" ] @@ -507,13 +686,13 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 8, "id": "f4d33be4-458c-493c-88d8-9072a82ef792", "metadata": {}, "outputs": [ { "data": { - "image/png": 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ld1xcmVEDqdydMoDTk2+uo/f85AREtghBYVk1/rPuMI7nleJadDA0nUJ5ib17/rcHTHm3FRilf2YiVd7FaALA03Y8MibOY9DDrczX16tTeKfLJSWvFP2jW+LSqBb415WxCApyGV4HpGRZrCFQnlHlIsSqdoOvgwBw16e7kXS6GJ9tz8Ctgzpbphtq2leh7TLS9ueXVOHjrazHxqwRsabJ3iy9UYNT2kwnQVfqbSY3l7oH2gGVu31Q2duDGrnz3dWMmOVWanxJ3eOs2vtp5GobidydsqdVb75J90rq7YyJyUvs3Y9f0don9qYK8ZWI2FLlPTmO/Z9vO7S63PLRIherO/6PjInD3Kt7YOmfJ5FfWq1rW4GUXZSSWX5enup3qCkXJ3pIcDq4M/0sxi3agtPnKnFt3w6orqk3vM7I5Z+0fRXaruN5pYba/vzSavx320n8d9tJU2VvRH3m0OIer6bNDKTBPx3U20x1tf+7gzgRKnf7oLK3BzVyP5Zbgrc3puJYrv4jkoj2WBN0AK0c6BjpWqgkdycN4PTmm6Sjp3cCQ0pevxz27lRXV0sPJp2Mr7i2Ssm25oL0Hlc9+1vVysWOyTJDBzsqB8Zmtq1OmXgUwsmVrxvPTIrHzQM7ITG6pWF1Rin/JLIX2q6U3FKMX7wVKbmlttt+O1Gr53w5XtmlmazcnKq3ZkHd720mNjbW7iQEJFTu9kFlbw9q5H62vMb9u1UzdtVNyyz3+qQcPLXuEFwNwbG2nyjCuEVb8MLkPri2rzpXVCtdu410LVSSu5X5UsJsl0oj9EGNvHzV1jjBtVUPnNzFVsi4Dvy4+HaqXYPVyMVI26MWu1YGzdJ3LbK0w0OC043DZ4qx9M+T+OnB4YjvEK772ST5J5G90Ha9uD4ZPxzMxvX9OmLBtfGG2H6+vP11ZZovx2ZBdaiobyQqNzttgF1YvlL/0EMPoWvXrnC5XDhw4IDidT7Lly+Hy+XCunXr3Nfy8/NxzTXXIC4uDgkJCdi6dau5GTCYzMxMu5MQkFC52weVvT3sP5aueoWstKpG1yw36cpaUcNzi2Ser/UYHC0YudqmpO9W5ksJI/MthhEr0Grk5au2xuxyMJvMzExTVsjUyIVU14yOjG1kvtUOjM3Sd70eEsdySkyPPm5mnSHJP4nsOdtVX89g8e/HcffwS7DzybGYP6EXAP22v7CsGgvWHXL/v2DdIZ9YmVar5/w2IDMzU1JuvuLxZCSWD+pvueUWbNu2zSuohNR1joyMDCxduhRDhw71uD5v3jwMHToUqampWL58OaZNm4aamhrT0m80tbW1dichIKFytw8qe2W0djTlvldA6OJWWFaNJVvYY4Ge/SEZJwrKNLsGkgzACsuq8cqGYwCAVzYck+yEkHbanHZ8jZK++/oATg1GTGCokZdeWyOnS07TMyex+USx5JYSq1ZwSXXNyL3fRm6l4Q+MZ32+B8dylLdCmdW2qqm3YjK4dcl20/bXi9VDo3WMJP+1tbWKNoGzUcIo+kLbpcX2r0/KwcjXNuHQ6WI0aRSEJo2CcOh0MUa+vsnR7vxaJsH48uHrvFBuTpowtwrVg/qjR4/i22+/xbfffotjx46pfuGIESPQuXNn4usAUF9fj3vuuQfvvvsuQkI8I1l+/fXX+Pe//w0AGDx4MDp27IgtW7aoTpdddOvWze4kBCRU7vYRqLJXMwjQ2tGU+150dLTi99cn5WDMm1uQml8GAKhnGNTVM5iY0EHTLLfSAIzrAJ45xx5DdOZcpe49hU47viZQ9V0Mqycw9MpeTpfU6pkRkwCkz7B7wqEkKEx0hexA1jnL9rfaMVlm1Mogf2A8vFskcoqrcOuS7Yp20Sxbo9dDok+nCFPSBXjXQ7s8RLp162Z528Ov5yl5pegQEYrRPaPw9/yr8Pf8qzC6Z1t0CG/q2JVpIybB5HQ+kCbMOYgH9VVVVbjhhhswaNAgvPDCC3j++ecxcOBA3HjjjaYHvlq0aBGuuOIKDBw40ON6UVERampq0L59e/e1rl27SrrBVFdXo6SkxOPHbtLT0+1OQkBC5W4fgSp7uwebp8+cASC/evFTUjYqLtSiRWgwJvZpj4hmjVFVU4f1SdmmzHJzHcD3pw0AALw/bYDfuccFqr47ASfJ3oj6T/oMu23NxBjGa4VsUt+O+HbvaUcEhORj5KquUSuD/IHxvAk9AQB9OkUo2kUn6LuYDDj3crO9M+wMOqpG9kbpHL+ePzImDr/NGYllMwcjskUIIluEYNnMIfhtzgjHrkwbMQnmBJ13EsSB8l577TUAwJkzZ9CyZUsAwLlz53D33Xfj1VdfxdNPP21KAg8fPow1a9YYslf+5ZdfxsKFCw1IlXHU19fbnYSAhMrdPvxR9kafyau10Zf6XmFZNT7aVQRA/GxnLv0dI0Ixtlc7ryBk3aJauO81cpb7kTFxOFtxAfd+vhcA8NbGVCy5YyBaN2ui+ZlCGVh1XrIU/qjvvoJe2cvVQ1XHe5VUYeWOU7rSovh8G3XcCxGhOCkgJIfRZ94btTLID/qWc571tpg/oRd6d5QP+ma0rdGiV8K8Gi1jIfx6aKeO1dfXE9kEs+Thi6vSRgQEpe2rJ8Qr9WvXrsUnn3ziHtADQKtWrbBkyRKsXbvWjLQBAP78809kZGQgLi4OXbt2xY4dOzBr1ix8+OGHaNOmDYKDgz3Oh8zIyEBMTIzos+bPn4/i4mL3T1ZWlmnpJqVHjx52JyEgoXK3D3+UPckRcKSDADXug8nZxZiyZDuSs4slv8etXuSW10uuXnAz/jf07yS60vTI2O6KMtDCL4dziY8nI0FMBnavWvqCvtvtrm0WemQvVw/Vuvjml1Zj1W62v6FndY777sodpzzKSqjjdp/LLCZ3p+1vddJRkkK4gY5Qz85WSB8VCBhva6RsJ6m9MFvGQvncPjTGNh2L7NRV0SYYLQ+76zmH1vbDiImIHj16+G37pQXiQX11dTUiIyO9rrdt2xZVVeYJcvbs2cjJyUFGRgYyMjIwdOhQfPzxx5g9ezYA4NZbb8VHH30EANi9ezfOnDmDkSNHij4rJCQE4eHhHj92k5KSYncSAhIqd/vwR9nzj4ATg3QQoLbRP55Xhp0nz+LrPaclv8etXrw7sZ2ii1uQy9rZfiOj00rJ7s/UQhNSTo4v6LvdEx9moVX2cvVQS8f8PG8wpnWfL9+GrNqd5aiz2YWIyd1pK4lOj4ytRc+ssjWk9sJMGYvJZ/ziraLyMVvH1ifl4Oq3/lQsKyPl4YR6zmFn+5GSkuK37ZcWiN3vmzZtKvlZs2bNiF947733Yv369cjNzcX48eMRFhaGtLQ0yetKvPrqq7jjjjsQFxeHJk2a4IsvvkDjxo2J00OhUHwfx7mf8lBzVqpW98Gc4kr39+rrGSz9Mx1p+WU4nlfqdnE7fPgwAHEXN7tm/Pnud1wZLry+tyZ3RCnZnSoqB2D/agbFOjhdGhghHg1cyV7I1UMGUFVH1yflYN53SQCA4d0ikZxTovqsZL4NGd4tEtvSCjF75T68clNfXNu3g1u3/0wtxMdbTwTUucxaMcL110w4HXx4TBx+OZyLB0d3w9sbUy3drqC3XTBTxk7azpGSV4qEdqF4Z/rlsmkxSh6BdP66k/t2ToR4UH/ixAncdNNNXtcZhlEVqGDJkiWqrgvZvHmzx//t2rXDb7/9Rvx+p+ELrpn+CJW7fRgpe3fnvUtLvL0xFePi21lu+PlHwC3ZcgLD4yI9BqVqOh9SjX7u+Uos/v24V8PGdbaujm+Pmweyp4ccPlOMpX+exE8PDkd8h3D384Ryl3Lx1LvHT00jzM8rN9suVYZKzxWT3fOTE3DvZ+x+fTP2c5KgR9+t6tA4xY3TKDhdWjd7qOznUrqm1PlW0zE/kHUOjRrur6ypw+pZQ7H49+OqBh98G5Jzvgrb3tvmDpx2WVlrd/39bHsG+se0wmu39LV1oKPXxpup90rPdsoeZPdk7Jlit64qDQCNbFvl2gVSe2GEd4ZUeTlpUuaRMXGoG3WJe0FRKi1Geas4aUIDMLb9EJa3kq3u0aMHjuVVGPZ+X4fY/f7tt9/GDTfc4PUzefJkvPXWWyYm0b/xBddMf4TK3T70yF64d4oz+FJu72YjPAIuNb8MY970dLtTs5dUqnEvLL/g5V52PK8UT31/CADw9A+Hxd3pec8Tk7sZex7NcoVTeq5Qdu68Fdm7Z1aXvlvgVmiHG6dVeyAzMjI0fU+u862mY74+KQff7MlCUMOK2snCckxZsh2T+nb0qP9K8uBsCAB3WVXX1qNdeIhH/a2qqcP+zHPYmX4WgH371vW2r2bqva+46gYFuUQDLMoNAI3q18i1C2bbC6k2XlhehWXVonXGjkmZoCCXqi0neu2fk+JTGK0PauvnzoPJjtmG4ASIV+pnzJhhZjooFApFEaVZW6tnavlHwF3RLRJ/pRWivLoW65Oy3W5wZuwlff6nZCzbdhIA0CEiFLnFVRi/eCvuGn4JJid2AkAmCyfN+Bu9WuykvDkVu9w4leqxXpR0yCrPhJS8Ugy7NFJcB3nyVZJHUJBLtKye+zEZPTuE478zBsnquFNWnynqMCrAolqkbOf6pGzT7QWpbTDbhpiJ3rQ7JT6FFe2HnK1en5SD+T9mIzg42O+3IZBCPKh/5513ZD9/6KGHdCcmEKFu4PZA5W4fUrLX4nLJGXrO/d1qF2vuqDe5I+DkIM2zsGE7dKYYUeEh+Pzuy9C9XRiO55Xijk92Yn/mORzIOg/AWxZSEamNdmHUMmAi2QKg9rl2uWcKy1SPrTF78OmPEx98XfrsSBWGD6z20CWzj9jiI6aDC6/vjS8aoter6dCLldVTaw+hR/twrxU7u/eF621flfRej3u+6qMIbdzPKwywqKSrRvVrpGznm7+lgIF3e2emvfCVrUGB2Kc0o/3gl7eSreYmTV+8yd7tRk6C2P1+//79kj8HDhwwMYn+DXUDtwcqd/uQkr3aY+EKy6rx8Or9AFi393Hx7Sx3sZ4ztruuI+BIXM3E3Nu+vPsy7HxyLLq3CwMAdG8Xhqcn9cbJwnJJV3q9EalJXAa1uOKRbAHQ8ly7VjO4Mj2WW4rFvx/H9v1HND3HCrd4u9w4SQZtWtxThbqUllfioUtWH2MmWo9Kq/HO/9I86jzJwEWsrD66Y5DkNh47j3lKSUlxvz85u1hVOkj0ntRFVygDLUcR2uWqvz4pB7NX7gPABli0Mvq9lI2Uau+MtBdygzp+eTltsK9G9k5Lu1bk2g8t9odf3g+v3o8xb8rb6kfGxOHBAU0dsQ3BKRAP6pcvXy75s2zZMvd9f/31lykJ9VeCgoiLgGIgVO72ISZ7du9gJgCyY+E4g59dXIn2EaFoERqMPRln8fj4HpYeS8SP3M5vwIwaOEoNQn5NzvO6V+m4HBKdl2uIlTq4WgdMSul28nnScpxtiINwvlp9z82qPNsx8WHkoE2IUJc+ur6zhy458Rgz0oGm2rKya0CaX1KFL5OK3ZO0x/PKiNNhtN7zZeBrdkQswKKSrprdrzEq8J1UG0M6qHPScW4cpLJ3Ytq1IqcPau2PsH5mF1ei4kItHh/fQ9JWszFOgkzrf/kixO73pDz44IPYt2+f0Y/1W2JjY+1OQkBC5W4fYrLPL60WHahyCPdubTyah7p6Bguv741pl3Vxu13lFFfZ4n6qdY+c0oy9EZHzOVmQ6LyevX5aXfGU0u1rLuLCMu3UqZPqZ/hankkxew+mUJcG9I7D5QND3brkhIjZfP3wx6Op8kur8WXSeQzppT54Kanea1np1FKn7FpRdQdYDApy68WUJdvxwuQ+mJDQXvJ7vtCvkWpjpNr4529IwD+HxFi6r18LJLL3x/puFML6mV9ahWe+P4KcYnagLmWrY2NjkVbku/EVjMbwQT3j6/4kFpOWloaEhAS7kxFwULnbR1paGqJiunnsVeTvHSQ5Fo4z+Hkl7Cyw3JFTToVkb6+aQYjSKopenVfq4GodMCml2wkDMVL4ZbpkKxvnISsrCwNjo1Q9xxfyrGW/sZmDNsBblzid564b7ZmgVgbCOj8gpqVpkzdmDkjV5FtNOkj0Xk1MBP671dYpK2MvCCENsCjEaf0aNXpCOqizY18/CSSyd/pkrZExJPTGwIkKCyU6FjAtLQ1oFa0rrf6E4b46LpfzO9NOIjjY8HkVCgFU7hexeu9lcHCwl1vkv7+46N1DciwcZ/CFe6fsGsyrbcBIXUGNHISQ6DyX/pUNgbw4SFwGzXLlNtNF3Ejd55fp2PgopDUcc/jGX0WqXSydEt1YDi3u3SR7+I10TzXbzquRgVid/2ZPFib17Ui8J5RUX00/dkwm38LgpdyxmyTpUNJ7NS70Qhmc5U0cK73Tbld9rp7U1zNY/Ptx1NczRHuFndavEdMTqbaStI23Yl+/Fkhk76Sj6MQwasuOlTFwgoOD/SZGgRHQjcU2ExMTY3cSApJAljvpObBmIZT9d/tOo6y6FgDQqlljNAtphIoL7LFwHE4e5GhpwOzY26uk8/x8rNqd5fN72kkwUve5Mn18fA/szTiHFqHBaNsiBDllNRjz5mafkJfZE3x6B21q02eEnTdKJmJ1ftilkaJ1Xs8+eTX1VUvexM5O5+AHL03JK0XjRi5UVNehcSMXUnJLddsNObvJzwsngxP5ZYiLaoET+WWq3m137AV3rBZBeSu1d07v18i1laRtvFP7AiSytzLtUnXbbBtvRH9BTRqbt2nvNzEKjMDwQT11v1dHenq63UkISAJZ7nZG9AVY2XNm4s/UQmxLLUDjRi6MjY+Cy+WCC0DvjhHEx8LZidYGzI4Zezmd5+djeLdIAMDslfuwPinH9g6ur8CVaXZxFYbGtsEfc0di+Z2DUVfP6rMvyEuNbTBjdURJ19TaLiPsPMmqNKlruRV1Xk191dIWSJ2dztmQ7OJKtGnWCI0bsd3LBRN7YWyvdpg6JFq33ZCNts3LCyeD96b1R2p+Gd6b1l/Vu52+oiqF0/o1wvgR/jo5DDhP9lJ12yh7JoUR/QVSu7Q+KQfXvrfdb3VKC4b46rz11lt45JFHAAAPPPCAEY8MGEJCrNmjRfEkUOUutspitetSRX0jvMqdI709A5d3i8Trt/bz2GPWvV2YYR2o5OxiLPwxGc9cF4/4jhGGPJND6x45O1Yb5HSen4+c81XY9t429OnEDkT17u+2+6xnOYzUfbEYALkN+0GfnNgL8R3C9b/EIZi139joWAJm2nm1MjCizheVXfD4LYbZ8Rikzk7nbMjCG3qjODcLEe2j8cz3R1BaXet+f1CQS1c6SGXIyeDwmWIAQMtmTVTJwCmrwST2iW9fndSvsTJ+hBMwW/bCdtTodpVfXrM+34PlMwejp4Y2y8p4MCl5pejXoRkW3z7UL3VKC4as1C9atMj99913323EIwOG9u2lI5lSzCNQ5X4st8RjlcXq41XWJ+Vg1tpM98xqVU0dDmSdx870swA8V0SM6kAdzyvDzpNncTyvzJDn8eGv6OSXVOHz7aew8PrejlzRkdN5Lh8A3PpQXVuP2y6L0d3BNcMzxAgXQrN0ny8XfqfcbvdQEkgGEWpX3NSUlZKuqZ2EMcLOi73TjlXHwrJqvPLLUQDAK78c1XT0nbAstMQCkTo7nbMhUWGhaN++vdeeaKVghXoRq2vC/PlCHeSQs0/8cuTbV6f0a8Tqx1e7M+EC3IM7X/F+IMVs2QvbUaV2VapuK9mz4d0ikVNchVuXbNdkz4yYECO1S4+MicMHtw3wOY8aMzFkUE9d7rVz6pT43jSKuQSK3IWduFNFFe7P5M6BJXmWFlLyShHftonbNWvVv4aiTfMm2J95zuM+X+l88dPJb2SdmH45nQ8Kcol2xMa/tdWRrmx6JwqsGJT52nnEpOlV615pZ/AlvXZe6p1Wb0nh9PXM+UoAwImCMk1xGvhloUWecmen820eX+7u/eEm7uUVy4uv1T8+irElJOqUlf0aufIUqx8JnVri58O5Xml2YlupBSf1KaV0n8SezZvQEwDcnnpOSbsYQUEuUbn7i05pwRD3exrxXjtNmza1OwkBSaDInX8m7O6Mc3jll2MAgMToljiWWyJ6DqyU65KeM8w5HhkTh5Oxjdwzq7X1DNIKyrHoHx21Z1IBGhmVRUnnzTpux4nyN/toIf55xKNiw5CUV+7o84jVnJ9sx3F7Ws931mPn5d5ptQw4fZ12WQzu+GQXLtQxGNQQp0GLvm5LLcSSrSdUyVPN2elicjei/ZBKl7CcRr62CXABIcGNfPI8cDX2iW9fm1nYr5ErT7H68eTEXpj07jbL0mc1Zvcphe2oVLsqZbduGtAZ3+07rWjPcs6zkzTzJ/RC747WbhnTYucDpS9PCvGgfu7cuaLXGYZBcXGxYQkKNCIjI+1OQkDiVLnr2Sel9N0DWecQ1DABV11Th3X3X4G3/0j1OgfWzM55UJBLVPZmzawezyt1H6n01PeH0LtTOLq3CzPlXU4cvPJR0nl+w87p0sLre+vaK23W3mu9sjZ7UMbvlDeuq0JNo1BH7/VTM4hQ615pZPAltZMweuy87DslOphm2bFHxsThbMUF3Pv5Xve1+0ZdissvVZc/rgwyispVy1PN2elWtq9i5fTPJdsBuLD6XvP22poZK0TJPnHleK78At7amAqAta+v3+AMt2OxeuD09lEvZuq8sB19+aY+ku2qlN06dKZY0Z6Z1V6TosXOO7UvbxcuhtB3fuHChbKfP/PMM4YkyEpKSkoQERGB4uJihIfbE8To8OHDSEhIsOXdgYyT5M7vHOSXVmPSu9vw04PDkdBJXVC3w2eKvb576HQxrntvG564pic+3JyGigt1qK1nEBzkQvOQYLx0I7vKQtIZ5Z714wPD0aez9oBzfNkb9Uwxnv8pGcu2nQQAtI8IdQctu2v4JfjPpHhD31VYVo17P9+LvafOYWCXVrKNoV2B49TovFCXtKSZP+s+7NI22H6iCAzD6F4tUyNru+CCggGecudfdxJS6eJf16IDRpUVSfrE0qjHzpO+0wr4dSm+Qzi2pRUiLDQYr9zUl7gu8ctiQExLfDx9kFdZyOVNjTzE5G6WrRd7Pzf4FbtuVNmJtbdWwC/HRkEuhIUG44pukdh+ogi1tbWYN7E38kqqTG9f1JSnL9hsKUjtnll9SmE7uiWlAOXVtWgeEoyRPdp6tatSOl5bW4/gYO8d19z9ZrXXatBic7XK3ckBfMUgHa8S76l/5plnJH/uu+8+QxIdiLRo4fxju/wRJ8ndrCPm+LOuS7acQMWFOrQIDca1fTugRWiw+yx4kk6OkfsTOdmbvefx0JliRIWH4Nc5I7B9/hj8OmcEosJD3BGRjUJ14DCbjhTUo/Na0mzGvmNfORaJX6f4cnfigB4gW31XqwNGlhWpd4AwjXp03ikR0IGLdWn1rKGorKkDADQKcuFA1jmFb7IIyyKjqEK0LOTypkYeQrmbaevF3h8U5JK87svwyzEuqgWCXKy37MSEDvhtzggkdmqBQ6fPm96+qClPX7HZUpDaPbP6lMJ2dOqQaESFh2DqkGjRdlVKx8UG9Pz7nXB0rRabq1Xudh/tbBaa99QzDINffvkF//3vf/H777+jtNT5Z/A6Ebs8BAIds+Sud/ZPj4ua8ExY/t6kP5Jz4XIB867p6bF/nuQseK37WaUIDw83/JlifHn3ZR4NWfd2Ydj55FjU1tYb8nwOs/dnG4UanTfCVVKNiztpvfEVWfOxysY7beXBCWXlS+2rXPk9MiYOvxzOxZQl2z1s5rd7TyMxupWizTS6LJR0jS93vq0f0ysKf6UVYsybm/HSjcpeBk7TaT52uJPzy7F1syY4W3HBw4X6rVt643R5kPuEGzNQ23Zr1T0nl70YZtkaYTs6f0IvLLg23usUAb1bx8Ta64XX98YXO04hv6TKsWXgSzbeClRHv09PT8eCBQsQHR2Nm2++GVdffbWmqI/Lly+Hy+XCunXrAAAvvfQSevTogaCgIPc1DrnPGIbBs88+i+7du6NPnz4YPXq06rTYSXZ2tt1JCEj0yl0q8quW2T/+/jitqxnCmfMDWec8Zl3/fOIqjO3Vzmv//CNjuys+2+gZ3OzsbEtmhaVmpqWua4V/rB2gfKyKXXsLSXVebBVGS5rVzLqT1ptHxsRh4fW98fl2tqPhC0fYWGXjzV55UKsDauuFEQjT6Evtq1z5BQW5dNlMo8tCSdf4cuene87Y7qiqqUfvjmSRtZ26mmZXZH1+OQYFubzKMTs72x242qz2Ra0eatU9ruyP5ZaadmoCCaR2zyxbI2wvpY6G1OuFItUuv/O/NMfVPz7Z2dmaTtbw1xgPxL3blStX4qqrrsKwYcNQXV2NDRs2oH379vj3v/+N1q1bq3ppRkYGli5diqFDh7qvjR07Fr/88gtGjBjhdb/cZ++88w6SkpJw+PBhHDp0CKtWrVKVFruhs0z2ICd3EgMh1tnIL6nCyh3qJrj4nYOZn+7GiYIy1S5qYu5t3+zJwqS+Hd0NqfDMYA6ShkBto6wkv/DwcEs7/GYdpcQ9V8150XYes6Rka/JLqnDfF3u9jjkc8+ZmPLx6PwD7j4YKCnKJ1j0nu9X6g43XordWu6+LpdEfZM+hx2ZaXRZ8uQvTDQBPTuzl6Ik4Oex0J1cqx7rgZqa3L2r1UK/unSwsdw/urUaN3fMnW6MGM4+qJCE8PFz15J8vH3epBPGg/o477kBwcDAOHTqEN954AwkJCZqOsquvr8c999yDd999FyEhF438kCFDEBsbK/oduc9ef/11vPLKK2jSpAkAoH379qL3OZVmzZrZnYSARE7uWlcH8kur3W5vJLN/SvvjSFdhxGbOh10aKfpdLZ04tY2ykvyaNWtmaSfTrNUeO/cYa0HJ1uSXVuPnw7no3THcrUuPj++Bigt1yCmuMjXN/jprDlhn482Sod16S4JUGv/OqrQ7acQolZ+T9vgrpZWv8/z08b9Hkm4n2gUn7D0WY31SDqZ/lWp6PbVKD7kyL66sAQCcLb9g6POVUGv3/LEvT1L/7PamUSt3X2jP9EA8qN+4cSPatWuHXr164bbbbsMff/wBwsD5HixatAhXXHEFBg4cqPq7QkpKSpCXl4fvv/8el112GS677DJ89dVXkvdXV1ejpKTE48ducnNz7U5CQJKcflrX7KKYsTtfcbHRIZn943cOfn2EDeZ2ecNgXM0qjB1urnpwis6bPcMsfL7dnUFSuT85sZdbl7KLqzC2VztseWyUYppJ5Sm8T+2suRM7+nJYoe9mrjzYrbckSKXxYEaB3UkjwpdWjkjSmpubq7ueO1UmTm1vU/JK0bttE0fXU1L4Zf/dvtMArLf3au2eU/o1RmFl/dPTF8vNzXXrxsqG/f9y+EJ7pgfiQf3o0aPx+eefIz09HcOHD8e8efNw5swZPPnkkzhy5AjRMw4fPow1a9bgqaee0pxgPrW1taitrUVlZSV27tyJr776CnPmzMHBgwdF73/55ZcRERHh/omOjjYkHXpo1aqV3UkIKNwu07UhkrOLSoMGMWO3PikHs1fuAwAM7xZJNPuntD8OIJv9lrqnsKzaFrcoJfmZpfNSDYNUevTOMCvlk//8/JIqgGE8zn23ujOoJHex/HA6ygXJkUszqTz596mdNXdqR18Os2282SsPTh3E8JFK430ju9qbMAJ8aeWINK2tWrXSVc/594/pFYUj2cUY8+ZmR8jESR4TfB4ZE4fXb+ju6HpKAr/sx8ZHIetsBQDgjd+Oydp7oyfp1do9f+rLq6mvRkyy6+qLhbRw9wlW7c5SHJz7QnumB9URoyIiIjB79mzs2bMHu3fvRmlpKUaOHEn03T///BMZGRmIi4tD165dsWPHDsyaNQsffvih6oQDQOvWrdGiRQvcfvvtAICuXbviiiuuwO7du0Xvnz9/PoqLi90/WVnmRQglpXHjxnYnIWDgjP7bG1NRViNugZQGDVLG7rt9p9GooVGvrKnD6llDFWf/zO4c2OEWRTLoktJ5vY2yWH7NGgSqfa5cwBkjyptEdnK2prCsGgvWHQIALFh3yJ0fLTq6cqfybDmHmllzXxr88DHbxpu98uDUQQwfqbSENGzLczK+tHJEmlahzqvNo57gek7Dqj3HQUEuUVvjpHpKAlf2j4/vgd0nzwIN23xziqtkJ3aM7u+otXtW9eWt0CfS+mr3JPv6pBzctjIFJwvLMbxbJABg9sp9sn0CX2jP9KD5SDsA6NevH95991288cYbRPfPnj0bs2fPdv8/atQoPPLII5g8ebLmNEydOhUbNmzAfffdh7Nnz2LXrl147LHHRO8NCQnx2MfvBPLz8xEVFWV3MgIC/p734mJ26wV/dpHkqBax41nuWbEH29IK0Dyksft7U5ZsxwuT+2BCgm/FeNAD6VE3UjrPNcrj4tsZcnyKUnq0zjCT5pP/fA3hR1RBIjspuXP5qWs4EiejYbCs9nhBLr+rdmXhtsu6SKaDLxc1x9454Yg0LZht49XIMNDwhfbVl8qPNK35+flgWrKekGrrufA9uQ0ntjw5sRfiO/heMDKj2zXZd/mAvivBlf3sL/ai4kIdwkKDcUW3SPyVWojyC7VYn5Rt2LG3RmKV7K3QJ5L6auSxxFr7Yil5pegd1QTvTL8cOeersO29bejTKcLxfQIzIR7U33nnnZKB8VwuFz755BNdCXnhhRfw0UcfoaCgAIcPH8YDDzyA/fv3o23btrKfvfzyy7jzzjvxwQcfAACeeOIJDBkyRFdarKRNmzZ2J8FvkTvn9PvjrEvXsz8ewZI7WFcckkED39hxzx/UpRXah4fihRtFvmdj42P13mPSQZdZOi/Mr1x6Litr7THDzOkACST5FM5gPzI2ziNtdiAldy4/t10Wg9s/2YUPbhuAlTszVTWM/PwCnvElpO6Tk7vYrDlJR8OJZxubbeP9feVBD77QvvpS+cmllV/3XE3D8YzGei68rja4XiDjC/quBFfG3aJaAIBXO8tdF2J3rBW1spdqq5zQhpHUS6Mm2Un7BGI8MiYORy4JxZItJ7Dz5FkAQHVtPW67LIb4/f6GiyGMdvf+++97XauoqMCHH36I7OxsVFXZc5yBHkpKShAREYHi4mLbjqPIyclBhw6BOaNkFFJG8PCZYkx6dxt+enA4EjpF4M/jBbhj2S4AQKMg4Kqe7bD31DkwDONeVRczZvX1jOh17vk/PHAF+nZuSfw9Kygsq8a9n+/F3lPnMLBLK1WGUitS+RVel9L5Q6eLcd172/DjA8PRp3OEqneL5bd1syai6fnpYDb+8/1huFwuDLu0DbafKHLrAMkkjFI++TPYwy5tg7/SClFaVYu6esa0siCRnZTcuXQLn1Ffz6CwrFqxg8HPb3yHcGxLK0RYaDBeuamvhzyFcpGTu9aOjbDOm4HatFEbbx9U9tbB1b151/TEh5tT0ahRI032lY8d7ZjR6GnX1OJP+k7anwCcoSdqZS/VVim1YVbqkxxqykcK0j6BXJv72o/78cFf2QgPDcaV3dvqsjdOhnS8Sryn/v7773f/3HfffQgJCcG7776LoUOH4ujRo4YkOhApKiqyOwk+hdh+IpK9VKt3ZWLmp2yshcaNXAht5MKuk0XoH90SidEtcTyvVPOKSZCEB4tdA3q79h6Tyk9M5/XszZIKqvTLYfFotMfzy3TtYVXKJ38/2sQE1s0/yAXERbUwpSxIZSdla4KCXKLPkDoTXgiX39WzhqKypg4A0CjIhQNZ50TvI5G73cfkyKE2bdTGWw/XTqRm5SneY9f5yv7KqaJy9I4K0R0jwFdjaPCxes+xWlvjhDoglQbS/oRaPTErz1bYebv3sPMxwsOItE8g1+aeyCsGAHxw2wDHxySxAtV76r///nvMnz8fMTEx+P7779G/f38z0hUw+Pr+J6tRs5+I80H5M7UQb/9xHEEuYFSvttifWYya2jq0Cw/FxmP5+OnB4Zr26tnt7iWF0/ceC3Ve794sfn5zi6uw8Wg+BsS0ksyv2XtY+c9PySvF5ZeyaWvdrAnOVlwwtCzUyE7K1sg9o0sb5TNgHxkTh18O52LKku0ez/h272kkRrdyp8OKvcNOrJPUxlsP1058dlu84j1W7HUOBLg6988hMegQ0t4rurTaeu70dkwJI/cck6LW1jihDuhNg1o9MSvPamUv1VZJXbdDn8zGiD7BP4fE4Ne0o4ho2kTzM/wJ4kH9X3/9hSeeeAI1NTV4//33MXr0aDPTFTDU1NTYnQSf4mx5tcdvQNwI8mc0P9uegWGXtsHrt/ZzG/3/W7UbHVqH43heGQD1q+p69gGZjdMDL+Wcr8DKg8fdrlR6O29qgyqZvYeV/xyzy0KN7KRsjdwzYlqzg3q5QXJQkIsoHWrkrmVwblWdVJu2QLbxdu8Pra2ttfydpOSXVOHjrekAgFkjYh0xsaC1vPh177mfkrFwbEcIxzjCffdKz3d6O6aEHZMSgWhrnKInamQv1VbJtWG+PsklBmmfQKrNLSyrxqJNmQC85RWo8TeI3e+vvPJK5OTkYNiwYfjxxx8xd+5cjx+KNs6dO6d8UwAjdJU6W17j8VvqzHi+O1ZVTR0OZJ3HznQ2kEZkixD837CW+OcQNpiGlujnTnYLVApmZLe73cmcIg9XKr3nhjo5qJLZEwhSsps6ONqrnKVsjdQzbrsshtjVz8izX7W4GFpVJ7WkLZBtvF3bKDg7UFJSoniPEV4dWuxqfmk1/rvtJP677aRjtploKa/1STkY8+YWJGeXYGyvKJwsLMe0L46K1j01z/elAIJi2HEetlpb4wTPJr1pUKsnZuWZVPZSbdXzPyXLtmH+fr66FFJtLifHU2crHdkPtwviQf3TTz+N6dOno1WrVoiIiPD6oWijffvAOfJMC/xOQGFZNZZsPQEAWLL1BFbvyhQ1gj8lZXvs0/l97kivPTZNwtrguZ+SAajfm+RL5woLccJe5cjISI//jeq8OWm/mVVIyaiw/IJXOUvZGrFnrE/Kwfi3thIPko0qQ62DcyvqpNa0URtvLXw7sOxgmagdMNpWOMGu2kVKXil6dwxHZU0dHhnbHb/NGYFBMb55pryR2DEpocbWOKG9tDoNZr6PVPZSbdWhM8WybZivT3JpQa7N5eT47V2JPtcPNxNi9/tnn33WxGQELhUVFXYnwbHkl1Rh5Y5TAIBtqYVYsvWE+yztM+cq8ewPR9CzQzj+O2OQhztSXFQLzL26h/s5Qnes9Uk5ePK7g2jUqJGmvUlGuHvZ7ZZqJ5WV7GqWkTPl/rjfzGjU2Bq7XP20vtcKF0ytaQtkG2/1SqDQDmw7nu9lB5xiK/gycUoMCC3l9ciYOCTnlGDSu9sAsHXv2XGd0blztCHPp5BDamuMrgNa+jNW10Oz30cqe6m2qra2HsHBQV7XjWjDfLW/KdfmcnLMzGTd731te45ZEA/qf/jhB9nPr7/+et2JCUTk3AMDDaHhyS+txqrdWQCAjKJy9I9phcKyaiSdLkbXyOZo07wJ+nZuSRyQhx+8rHdUCN6ZfrmmAYsRM6Z2Baixu1NVWFaNRVvYMjVy37M/7jfTg1g5q7E1du1TVPtepc6KkasYUmnLPV+Jxb8fl0xDoNp4O+KOCO3Atj0HsfJYrYcdMMNWqLWrhWXVWLDukPv/BesOYdnMwbbGZdFaXkFBLq/8l5SUiB475tQ4NE5F7WCM1NYYXQe09GesbrPNfp+Y7MXKT6pN4g/o+RjRhjkhIKIW5PoD3HWh3P3Zc4EE4nPq5QLjuVwu/O9//zMsUVbhhHPqz549i9atW9vybqfAGb6BXVpi+rLd7vM5t6UW4PZP2HPlL2nTDGcratAoyPM8y+duSMB1/Tqqel99PYPz5895yV3LufJOPk9biN1nuXIz5QzD4Io4Y88TNeLMVMDaGW2z3iVVzlK2xldn8QF76pHaNASijSc9f9hohPWdkz3/ulG2gkOtXV2flIPHvz2Iigt1aNyI7cjX1NWjWUgjvHZzP1s8i/SUl1j+gy6Ue+i82frgyzZMDrX2jdTWGF0HtNhho9Ng9/vEZM/J5bO7hmDvqXO26acT2kmzCJT21fBz6jdt2iT544sDeqcQqKs4fLhZRC74HcB2Amav3AcAGN4tEjklVai4UIvHx/fw2D+Tll+m+n1BQS5RuWsx7Fr3Utrhlmp3cD9upnz5Py41fA+UUfvNrNwba8a75MpZytYE8n5gKwhEG29X3BFhfedkz79u5N5ULXY1Ja8UHSJCMbpnFP6efxX+nn8VRvdsiw7hTW3bD6q1vKTy/8P+LEOeTwq1YSyktsbo/dla+jNW7xE3+31ysj8rEuPGSuz20DSTQGxf5SB2v1cSnF0r3b5OWZn6Qam/wR1PV1x5AQBreA5knXPPOJVU1mDd/Vfg7T9SkdNwZJled2C1cjdyJcAJbql2uKdzrlSHDx8GQPdAmYFcOXcJumB38gzHCZ0VpTQEoo13yjFTZstei119ZEycl3yWzRxiqx3UWl5S+U/J9Rys85/PtaULr+8t2u7566q7FtTaNztsjb9tq9Cqf2Kyd0L75G/lIyQQ21c5iFfqW7ZsiVatWqFVq1Zo2bKlx0+rVq3MTKNfEx3tHUzG19B7TBq3Qv/pX2xQvIdX78dXu7PA2cGMonJM/XgHJvXt6HV8h9ZZVrVyl1oJUGu07Voxd8JxKFxZCWXvpD1QVjbCZrxLrpyldN4JHQ8t+Er0Zn+w8WpxSqRms2Wvxa4GBblE5SB1XQtq22St5SWV/8evTZB8Dr8tFXu+llV3X7Vhcmixb1bbGid4ABqNVq8Poez55ced2sTXTyuOF7ayfNTmx6j8B2L7Koeqc+oHDRqEDz74AOfPn0d9fb37p66uzsw0+jWFhYV2J0E3x3JL8PbGVBzLVe8GU1hWjdd/PQYAyDxXgXHx7ZBdXInKmjrMGNYVAPDBbQPcrnr82X4lgyB3jxq586PwC9OuttF1iluq0nUzcarOWzlINOtdcuUsJncnDIy14ITOJGkanKrvgYDZsneSXeVjlTu6VD7PFhWZ+l4+vmrD5NBq36y2NVb0Z4T9OCsGw1rgy55ffmPjo9zbRB9evd+tn1bUUav6m1yZqMmPUfmn7asnxO73W7ZswYkTJ7Bs2TIMGjQIl112Ge6++26MGjXKxOT5P5WVlXYnQTfcSjt/TzwJXPCc8upaAEDTxkHYk3EWT0+Kx5+phShoMH4RTZt4uQKSRPOUu0eN3PlR+LmZVq3HozjFLdVOnKjzVh6vY9eRWkK5O+VoLy04YTsJaRqcqO+BApW9PcjJXWlVXc2quy/bMDm02jer9d2K/oywH2d2JHetXh982XPlN7J7W7y64RhahAYjNLgRcoqr3PrZpU0zA1MtjlX9TX4f2WqojfeEeKUeAC699FK8+OKLOHbsGCZPnowpU6Zg0aJFZqUtIOjSpYvdSdCEEbOlKXml6B/TCj3ahwEAYtu2QP+YVsgrqcbzkxOQmsfObnKz70a6Jq4/xRCn/XzFxb3IXFq0zoA6dWXHSpyo81Z6UNjlrSGUu13pMAInbCchTYMT9T1QkJO9U1f8jMBqd3ShLKXkrrSqrnbV3ZdtmBxa7ZuZtkasvvhbf0aP1wdf9lz5ZRdXYWhsG/wxdyR2PDkGS6cPBAD8lVZgSR21o3xI82NU/mn76omqQT0A7N27Fw888AD+7//+DzfffDM9n14nubm5didBNXxXm+N5pViyhd0vtGTLCVVGMC6qBfZnnsOZ81W4tm8HnD5Xif2Z51BaVcO6LhVJu56RGASpe/JLq/Hhn5lEbj/CKPxcWuKiWtg2qPC1zqgwvXI6b1fezBgkSuXFiHdpkZNQ7k4YGGvFCZ1JpTRwZXQk/bRlaTIKX7AxJGmUtTV+GjHdDnd0oSzF5K7kUq7F5dyXbZgcWu2bmf1Jqfpitq0Q9uPUDgZJ06d3Sxdf9lw5CfWzsOwCzlXUoGf7ML/aMnKu3HvhSw4jbZQvjqHMhHhQ//bbb2PAgAF48sknMWLECBw7dgwffPABunXrZmb6/J7qat+pzJxxPJZb4na1+fcX+5DasF8oNb8MY94kN4Kp+WWis+yHs0tkZ99JDIJRRuNA1jk0ajDQlTV1WD1rqOxRelYMKnytMypMr5zO25U3MwaJUnnR+y4t+9cAb7k7YWBsFXYMUrnyzz1fYdk7jcIXbAxJGn2pfTUCJ8SaAMTlrrSqrmXVPZBsGAl26LuZtkLYjzueV6q6X0eaPr1eH2Kyl9LDVzek6K6jTpl4Xb0rEzM/3Q0AaNWsMU4UlMnmxwgbxc97oNl4JYj31M+ZMwf9+/dHs2bN8PXXX+Prr7/2+Py7774zPHGBQGxsrN1JIIYzjm9NSXRfq6qpQ4vQYFzRLRJ/pRWivLoW65OyifazSe33qa2tR3BwkNf1+nqGaA+d0j2kM73rk3LwzZ4sBAUFuZ8zZcl2vDC5DyYktCcXHMUDX9J5J6J1/1ogy93sfZhydO7c2dL3US4ip/P+GDHdrlgTQlmKyV1pfy+NN6MfM2281fVF2I/bklKA8Yu3onlIsCnxE/TqH4nsOdldGtUCy2YO1lVH7WzTONYn5eDZH44gyAWMjo/CvlNsEPWukS0k82OEjeLnPZD7NWIQD+qXL19uZjoClszMTPTs2dPuZHiRX1KFj7emAwBmjYj1MBqlVRcD4rUIDcbX9w5D93Zh7srZLaoF0TukZjH5A3rhmaEkBkHunsvKWhOf2ZmSV4phl0aKv8vGIDy+1hkVpldO530tb3JYkZeisgtY/PtxojN1nWpr/BWu3HNycoFL29mbGJX4Qj0kSaOUzvvr2c12DIzFZFl42lvuSqvqdNVdP2bZeLn6YpatEPbjXlyfjB8OZuP6fh2x4Np44sEgafr06p+U7Lk+7LDY1njq+0MAgBMFZThbfgGRLUJ8evIqJa8Uo3q0xQs39vHoI3dvFya5BcZoG0X7NZ4Qu9/PmDFD8mfKlCnEL6yursYDDzyAuLg49OnTB7fffrvH58uXL4fL5cK6devc11566SX06NEDQUFBHtcBYNeuXRg6dCj69++PXr164bXXXiNOixOora21OwmiHMstwX+3ncR/t510uy1xRvHZH5IBAC2bsnNCU5Zsx/qkHHflfGRsd8PSIXSdItlDJ3VPXFQLt9vPlV2aKbr9OHG/nq8d3yOWXimdNyNvdrmomVlO/P1rr/xylNj10am2xgqM6niS6hO//D/YWeD4esqHRHftdv0krV9iOu8UF3UzsHpgLCXLzSeKVT3Hbn3yF8yw8XL1xcx2Ttj/mj+hF3Y+ORbzJ/QCQNYfs7K/JCV7rg87delOVFTXoUNEKCqq6zB+8VY8/1Oy+z61dVRrm2ZkXXtkTBw+umOQaB9ZrS1Sk39+3gO5XyOGqkB5DMOgiHf+6IULF/DWW2+pcn+YN28eXC4Xjh8/jkOHDuGNN95wf5aRkYGlS5di6NChHt8ZO3YsfvnlF4wYMcLrebNmzcKTTz6J/fv346+//sIbb7yB5ORkr/ucilNjEgiPpyssq8bDq/cDAOoZBiO7t0VQUBAYhkGXNs099h2ZObNOYhCk7jnO28O/9M5hinumnLZy4GudUan0plWHEd+rN2927A02s5yE+9eyzrPHufyZqnxWq1NtjdkY2bEj0Sdh+eeW1zu6nvIh1V0799yrqV9iOu+vEdPtQEqWpUHeNl4OX4jh4AuYYeOlynh9Urap/RFhP0vKo0OqP2Z1f0lJ9q2aN8Gvc0Zg+/wx+HXOCESFh+DwGXWTXxx62jQj65odfWRh3lu1jzHtXb4Isfv9zz//jKlTp6KsrAxXXXUVXnzxRUyZMgVt27bF6tWriZ5RXl6OTz75BKdPn4bLxRZ6+/bs3uT6+nrcc889ePfdd/Hoo496fG/IkCGSz3S5XDh//rz7+U2aNEHr1q1Js2U76enpiI+PtzsZXm7ufP5MLcTHW0+gsqYO7cJDUF1bj6TT5/HENT2x5XiBrKuNXox07eK7/SQnJyM+Ph4Lr++NL3acQn5Jle59SXIyNAInnM2tBqn07ko5jckDxY9XU5s3s2WuBbPKSWz/Gph6AMCponLF7zvF1liJHedYC8v/772H8PnRC46tp3x8wcaoSaOYzgfC3m2r7KKULA8fOWLaOynSmGHjpcr4zd9SwACOtRVW2zIp2XN91xV3DkH3duxkV/d2Ydj55FjU1tarfo8dbZpVKNktsbxPePcvvHxzomLendhXNAPiQf2CBQvw5ZdfYsyYMfjmm29w1VVX4YknnsB//vMf4pedOHECrVu3xksvvYQ//vgDTZs2xbPPPosxY8Zg0aJFuOKKKzBw4EBVGVi+fDluuOEGPPXUUygoKMCSJUvcEwVCqqurPSIllpSUqHqXGdTXq6/URiBUcH7giaAgF97/X6r73uV/nUT/mFZ45eY+iAoLdRvHnOIqd2dI7cwcSQUzet8jP42c3PNLq/HO/9Jwde/2+gf1Jgcu8bXOqFR6kw4dIr5XKW9KMtc7KaSlITCrnIT7147nleIfS7YDqENqXhkKy6pl64ddtsZOjO7YkeiTsPzDQ1yOrqd8SHXXzj33auqXmM47zQPLDKwKoiUpM5WKYaY+BUpnHjDHxkuV8Zyx3R3dH5k2JBqrdmW502Nk+sR0Skz2Sn1YfvwoUvS2aU6Ol6Jkt8Ty/tBnfxPl3QmBBa2AWKMYhsG1116L0NBQ3HHHHWjTpo2qAT3A7n04deoU4uPjsWfPHrzzzjuYMmUKtmzZgjVr1uCpp55SnYFXXnkFL7/8MjIzM3HkyBEsWLBA0v3+5ZdfRkREhPsnOjpa9fuMpkePHra891huCd7emIpjuZ4TG9tSCzHitU1ILWBX/lxgK8POk0XYffIcAO+9TFo6Q0ouQGa7Ttkldz34WmdUKl29RIKamJE3I9yutbiqmVVO/P1r65NyMGXJdgS5XLi2TwecLFKuH76o83oxMi4GqT4Jy5mTuxPrqXB/JYnu2h3XQ039CkSddwJq5H4spwSzPt8DwBx9CiTXfiv13ez+iN6934VlF1QdKasqbSI6JZS9WX1YPW2a3bZbL2J5X/Gv4Zo9hf0xlgfxoD4oyPPWNm3aqH5ZTEwMgoKCcNtttwEA+vfvj0suuQRJSUnIyMhAXFwcunbtih07dmDWrFn48MMPZZ9XWFiItWvXYtq0aQDYIyWGDh2Kv/76S/T++fPno7i42P2TlaX+WCijSUlJseW93J557jc3a7c1tQBVNXVo3MiFsfFRiGjWGMFBQFhIsNeeQzM7qWbve+TkbuSspZNnQJ2EkTovJXNfiz9AAr++edSP28jqh122xk6M6njq0Scny13tgMfX6pWTZW8mdrdFpHJfn5SDfyzZjpziKlzZLdLx+uR0/EnffW0yRih7s/qwWts0X7DdSnZLLI8pKSlE7bnYs31Nx0ggdr9PSkry2KteUlKC1q1bg2EYuFwunD17VvEZkZGRGDNmDH799VdMnDgRJ0+exMmTJ3HTTTfhwQcfdN83atQoPPLII5g8ebLs81q1aoXmzZvjf//7H6666ioUFhZi586dmDt3ruj9ISEhCAnx/WNr9JJfUoVfDl2syPzZu/SCMozs3hav39rPw7UnLqqFofvmlSqvFa7mRrr3++sRSU5GTuZGuV3b3TmWwte2Yvg6vrDX3AiUXJX1ysFsV+hAcrWWwpfaopS8UiR0isDfJ4rwxISeaB8Rani9cqoNp5iL6CDOIPugZRuW3W20U9swrkwmJLQ3zW75kk3Ui4thyEzdqVOnZD/v0qWL7Occ6enpuPvuu1FYWIigoCA8/fTTuPnmmz3uEQ7qX3jhBXz00UcoKChAWFgYQkNDsX//frRt2xZ//PEHnnjiCdTW1qKmpgb33HOP5KBeSElJCSIiIlBcXIzw8HCi7xhNTU0NGjdubOk7fzp4Bg+sOgAA6NQyFGXVdWgU5MKwS9vg7zQ2irYw6IbaffNyxrOwrBr3fr4Xe0+dw8AurUypYErG+4f9WXjmx6Nwudh8bz9RBIZhNAUb4QfvkHuWP3Y4teRJTudJn6ckcyl9VaPHVuipkSjJzg5b4y/o0Sez5a7Hrhw6XYzr3tuGHx8Yjj6dI3D4TDEmvbsNPz04HAmdIrzu11uvlJ6vF+HzA03nSdsiI5DTO1K519czOJJd4qGD3HUj4vT4mg3Xiz/oO1eOA2JaYsby3R56QYpUuRthf6Se7XTZG9EnMgOuTMJDgxHcKEi13VKSu5xNjGndzMv2OBXS8Sqx+32XLl0kfyIjI4kTFhsbi02bNuHQoUM4ePCg14AeADZv3uyxSv/UU0/h9OnTqK6uRmFhIU6fPo22bdsCYI+727t3Lw4ePIjk5GTiAb1TsNJdKr+kCvd9sRePfZvkvpZ9vgrl1bV4fHwPvD9tAH6fO1LURUh1Ayvh1mKVC5CSW8325FOGuUaJuVklRrfEZ9szPPbqiKXJ1/f0CPNEkh85nSd1h1JybdPrdu0LrmpClGTnT66ZVqNHn8yWO7/c1dgTLfsrfS2uR6DpvJXH9cnZG1K5n624IKqDRsTpkbLhX+7M9Ok2Vw5/0HeuHF/ZcAwAuW3ibN+XO0+Z1nbL9QucLnun2+6EThHEdovfzinJXcomHsg659PxBaQgdr8fNmwYtm/fDgC444478Pnnn7s/u/LKK7Fv3z7jU0cxlPzSavx8OBdcHU6MbomThWWouFCHrccL8M8hMaa7CDnFBWhq3wj07dPH/b+efIu5WT16dQ9Mencb8kurZVfP/C0ip1X5Mdu1zSl6SqGogbT+SR2LNGvEpQDMc1U22xU60F2tnebyK4fZR3NJ2fBDp89j1e4sv2lz/Y1tqay36Jlzlar0grN9UwdHS7bdMa2bAdBuH+T6BV1ot0ATXFnMn9DLK/iflN3it3NKiNnESX07+u2xgMSD+qqqi7OaRwRnkBJ68FNEMDtaKd8ljSO0cSNUXKhDdU0dvvn35Vj8+3F0i2rh8T29s3dSnSurOh1KnTuxCOyAtnyTfscfO5xa8iSn86TPM3vW2Zc6xxxC2QndUWkkcHswW+78cncRqr9Y5/Txbw/is+0ZAMzZd2j2vkax5weazlu5Gidnq0nkbvZxk5JHqmaxg3p/hJO7L2/1yyhiT156f9oAXNm9rWq9mHpZDPp2bun+nyv3/JIqzF7JLj5qtT9CnaqvZ9C9XRimDo5Gm+bEwylZpMrOl8tUCqU2gcRuKdka0eB6frxoo/6QRHgP4l2kPQmKF0a67Ii5XvJd0v5smAGtrmHP00zNL8OtH23HpL4d8cjY7oalQ86t04pOB4lbqdmuUsIOhlSanDDQ17oFQCxPJPmRkr2TjltxuquaEDHZCd1Rne4e6K+okbvauigs93MVFwAo2xPh0UA7089if+Z5VNfUm7LdxOztLFLP/+Q36kFoBkq2mkTnzT5uUspWc/1Vf5pc5+Dk7qtRvQvLqt0u129tTEVhWTWxXnDl6YJ3ua9PysH4t7bqtj9CneLkXFh+wbD2VarsfLVMpdDTJvD7mUpyF2tTjbQ9ToN4UM8fuNNBvHEIjwrUAqe03NnzYpX+fMUFLNlyouE/BuPi26FFaDAqLtRifVK221hpGeDxv2P3XmTS9xshdymEHYzVuzJF07R6V6YjBrFaGgsxOY95czMeXr0fgNI53t6yD8T9j0bx5c5TGP7q/3Aiv8xDdtwkHodanfeleA9GpNWs/KqRu5q6KKwzJwrKMHP5bgDK9kTYOXXvO5xr0hGiJuz19thXKfH8zOJaQ9Lvr2jReZI2lkTn7Thu0kkTx2ZgZr/GbLhyzCiqEC1HOb1QnGSyINaEL8veDrSWibCsS6rlZ+fE2lRfW7RRA7G/yMGDB91H2nHH2QHsqn1ZWZk5qQsAYmNjdT+DU9q3piR6fcbNaM1euQ8XauvQPiIUVTV12JNxFvOu6Yktxws8XO+17Inmf8dutxbS9xshdzHE9gk++8MR9OwQjv/OGORO0z0r9uDZH4+gWZNgn9zTI5Tz6l2Z+M/3h3GhtkoxP2Kyp/sftXPodDGqaurx3+mDMDzuorviqQY3Rs4GqNV5X4r3YERazcqvWbaGX2d2pp/FttRCBLmA2KgW7g4xqT0xe7uJGc/nl5fU8ysqKnWl29/RovMkbaxZOq81PYD5e/idACd3J3gAqkVr35GkXM2yb3w5G6XzUmXni2Uqh5YyESvr+34qw4uNI/2mDuuFeFCfnp5uZjoClrS0NCQkJGj+fn5JFVbu8DxuUMzlu1GQC98/MBw924e7jWVOcZXh+4Tt3otM+n69cpdCrGF6au0h9Ggf7uHqM6J7W7QPD8ULN9q/p0dLYyGUc3ZxFcb2aoeF1/dGVHiobH7EZB+I+x+NYuplMVi1OwstmzUBwMru+ckJuPezvQAu7lXLzRDXeX/cq+ck1NgaNXWRX2dS8kpx+aWs3WndrAnOVlwQrX9SZc2ve2bog9krI1LPSU8/YYqdD2RI2liz2let6QH8ex8tR1paGtp3jfPJM7m19h1JytUM+yNcMZ4zuDmGD+qn+Xliz+TKzhfOWVfbbmgpE7Gyfuizv2XrsL9NhihBPKifN28eVq1aZWZaApLgYH3BNY7llrgHPZx7/bM/HsGtAzvj1Q3H4HK5MLFPe+xIP4upH+9wz17yjSW/EqmtAPklVfiiYVKBYex3ayF9vx65yxkvsYbpozsGeTVMdk9+cGhtLITyVJMfMdkXllWLytSf9z8aBbeHkJOR1MrF7CGtIdbPllqt86XG0Ii0mpVfUlvDr4uzPt+D5TMHo2cHmfNoefWNtP6RrMz6iocGSXnpbV/9HS06T9LGWil30jbfKW2uHpQGTn+frsKH323xSW8ErX1HO8pVdMX4x2K83CRKs5yl2u2bBnTGd/tOaypTKyfsrWg3xMr66as6oHt38b3wvjAZYjTEm0COHTtmZjoClpiYGOWbZDhVVOH+OzW/DOPi2+FkYTme/eEIurRpjt/mjMAHtw0U3a8iNJZa9psdzyvF6oZJBV/ao6ZH7nL7XkkbJrsnPwBjg1epyY+Y7MVk6u/7H41ATEZSe9XO1zfV9VynYkRazcwvia3h18Xh3SKRU1yFW5dsJ66LTrAnVkJaXnrbV3/Gbp23Gn+oI0oxN87VNzV977jTsKNczdijL/XMQ2eKNb/L34LrSfUnxa7bHd/LLjQFyqMYh55tDV/uPIXnfkoGAEQ0bYwWocHYk3EWj4/vgVE92mJk97bE0R21VID1STm4r+GIkCu7RfpUpaHbSawJHiMGiezV6KMvBXQzEikZxUW1EI3sek10vehzhKt1vtQYGpFWs/NLou/8ujhvAnvcZp9OEYbXRZKVWad7aKgpL6vsvK/ZICfoPEUZtXo1IbresqjeenTe1+qLELHo6Q8NbKZLzlIR2b+8+zKfiNRudrshpTNStsau/q3dEPtIJSUluYPj8WEYBi6XC2fPnjU0YYFCSIh2V5A/UwtQU8fWoI4RoXh7an8s/v04coqrRF2+AenZSy37zVLySpHQKQJ/nyjC49f0RIeWoar2qNm5l1eP3LVsUXDinmW73BHFZC+UqRp99BV3YaORklFavnjg0qah3rIRc0/zpb2nRqTV7PyS2Bp+Xcw5z3Za5k/ohd4dpd3v1ULiiugL7opqykuPnQfIbbev2SAn6LxenNqu6oWfL6FeKfU9xGw8YM6qtR6d97X6IkRMniEhIbrkLPXd4GDxtVeSOChWTdBa0W5I6UxISIho/qX6t7nnK7H49+N+Zzc4iAf1PXr0wM8//2xmWgKS9u3ba/relztP4bcjee7/uTPnX7qxDyYksM9UY2C0DPBuHxqDv9LYY7O4iqxmUGinYdcqdy3GS00+reyo2OWOKJS9mEyJ9wiLBIrUKkNf6ySqrbNCuUvt4XvuhgTMHded+Ll2YsTElNmTWyS2hnu/WZ0jkgjRRkcHzy+pwsdb2VWUWSNiDauLasqL1M5Lvc/XBx9SOEHn9WJH2VjRRvDzxYfENlghd4o4dspeWBfyS6qw9M907DzJLrZqaUtI7bfdp0q0b98ep0q8bYFUP7aw/IJf2nQOYvf7kJAQdOnSRfKHoo1Tp04p3yTC+qQcNCzSIzG6peiZ82pQO8Bbn5SD8Yu3irrv+cIeNS1yt8It2d/2QInBl72UTH85nCv6XaFu5ZdWuwNFcrPRWmXoa7JXW2eFOi/lnia10u/Eem3ExJTZk1uktsZM+0Liimi0u2J+aTX+u+0k/rvtpKF1UU15kcpeb913+pYFIU7ReV/D6jaC06c/UwuJbIOVctej875WX0hwks5/t+8Mlv55Ehk62hJS+22Vm7uUzjhJ7k6AeKWe8afa5yCaNiUPXgVcnCkOC23kvlZdU4ev7x2Gxb8f9zhz3kyMcN+z07CrlTvgmef6egZL/0xHWn6ZYp75+fS11WAz4Mterx6dr7jg/pubjTYbJ5YhSZqEOu8P0aB9AVJbY6ZLNElZ+6M+KMmeqzcDu7QU/ZykjfKFLQtWo6V9VYsvDQxJ7DN3z4CYlgCAc+UX8NbGVADAZ9sz0D+mFV67pa+sbbBC7oA+nfe1+kLa3pPK3oz+g7AunCoqBwB8cNsADI9ra+oWOivaDTmdqWAa4zveCVxK+JLd0ALxSv3+/fvNTEfAEhkZqer+Y7kleHtjKjanFLivca73k/p2xCNju8t8WxnSACZSQT1Ig3fYHV1brdwBzzznl1Zj6Z8n8ejVPWTzLMzn8bxS2Zl+NQbHV4PN8GWvR4/WJ+VgdkOgxuG8QI1/prJbQtQabVLZO3FFnyRNQp1Xs1qnRtd8VS/NgtTW6LWpcpCUtdGrt/x6ZFZdVEJJ9ly9OVte4/U+kjbKl4JKWomW9lUNdvUftOoliX3m7nllA3vS1MxPd+NEQRmu7dsBVTV12J95DjvTWXdqKdtgptw5u/7lzlOadd4X6wtpe08qe6P7D2J14Z9D2NMnIpo2YdOmoS0htd9me/0o6cy5uhDiE7jsHndYAfGgnmIOWVlZxPey+4czAQBVtWwta9WsMZqFNNLleu/xDkKDo6ciO8Gwq5E7h5YtCsJ8coNQMdQaHCcNLtUM5Piy16NHB7LOoVHDfZU1dVg9ayj6x7TEZ9szAKgz2v5q7PnlokXn3c9RoWtO0ksnQCp3fzhyi6OwrBoL1h1y/79g3SFVdZH7rprviUEq+yVbTwC4WPf5tntMrygcyS7GmDc3e7VRfNfTZybF4+YBnZAY3dLvIywrocfWKGFX/8FIvRRjW8Nk9JlzlYiLaoEgF+shOzGhA36fO1LUpVloG8yUO2fXD53WfsSa2a7adk4omyl7KcTqwpg3N2POVwcAePdlSNsSPfbbaOR0Zn1SDuauYU8AUzqBywnjDisgdr+nmEOLFuTu8vml1fg1mQ2O1ygIGN0zCvtOnYeLYdC7Y4Rlrvd6cUJ0bTVyF4Nkxl4snw+t2o+/TxR5fc/uYCN6URO0SK/sAVZe3+zJQlBQkFteN77/F+ACQho1UiVDtbJ3ovuWVJr45WKE3CnqCTS5r0/KwePfHkTFhTo0acSuGxw6XYyRr2/Cazf3I6qLdQ2umxkNHS+tdlBJ9n/yBlL8uj80to3bducWV2Hj0XwMiGnl1UbxXU8PnynG0j9P4qcHhyO+g3GnFvgiZuq8Hf0HvXpJ0mZkNLhMvz9tAK7oFomzFRcu5qtvByKXZitszdTLYtC3c0v3/2rcrc121TYjeCJpe08qeyP7D8K6sHpXJv7z/WFcqK3S3I/UY7/NQE5n3tqYih5RzbDvTLniCVxOGHdYAR3U20x4OHnjn1F4MYBVbJvmeOWmvgCA/6w7jO7twgxx07RiwOKEvZtq5C6EdE+YMJ8AUF1bL/o9LQbHiYNLEvTIniMlrxTDLo30kNc/l2wH4MLqe4eqMtpqZK9nP6BZe/FJ01QdFKr5KBfirQklVfhCxf62QMAIffclUvJK0SEiFDFtmuO1W9g26vFvDyKzqJK4Lt52WQxu/2QXPrhtAFbuzNTc8ZKTfWFZtdurp2tkcyy8vjcAtj2Ni2qBuVf3AADkFrOrfk9O7OU1WPcn7wojMVPn7eg/6NFL0qMkudXqtzamolfHcNF8KemVmXLn7LkL2nXe1+qLmvY+PDxcsY03Op6AsC5kF1dhbK92WHh9b0SFh2o+4lWr/TYDOZ25fWgMthxjgyorncDlhHGHFbiYAI6AV1JSgoiICBQXF9vW8Tp8+DASEhIU7/ty5yk8/f0R1DYoYHCQC81DgvHSjewMXH09o9swFpZV497P92LvqXMY2KUVscFxSuAwNekglbsQ/qrusEvbYPuJIjAMo2o1WOx7UuUndV1rWZnFodPFuO69bfjxgeHo0zlC9l6tsucjJhfOOItdl6sbpLLXWvYch88UY9K72/DTg8OR0EleRqQopYlfLidOpOGRX3JVv1+Nrv108AweWHUAAByhl07ACH33JeTqodh14T1BQS4ve6K1fRPKnmsj2oWH4PVfUwAAl3eLlLXHpLZNjQ30dw4fPoyomG6O6BcYgVa9JGkz9LYrfMyyNb7SNzSyDqotl8OHDwOtoiXbeCPLWQq1/UipZwDi9ju/pAqrdmeZVp5q9MXtPVNXhyt7tDNFnk6CdLxq+Z766upqPPDAA4iLi0OfPn1w++23e3y+fPlyuFwurFu3zn1t1KhRuOSSS5CYmIjExEQsXryY6DNfgHQy4es9We4BfVhosMc+ekD/TKee/SZO2UOrJh1qJnH4+7S07glT+h7JDLYRgWrMQO1+dCMm0MTkFRTkkryu9lli1606ukUNcmkSlkt9sPpGWI1dWJ+UgyfWsPvwEqNb2q6XTiHQVurl6iFJXRSzJ2raN769FspeuC/497kjZe0xqW2zOyaH04JThoeHO6ZfYARa9VLrUZKJ0WxsGLXlaYat8ZW+odF1UG17ryR7K/oPRh3xKmW/uTPejSxPvu0S6oucXePk+fnUHo7pjzkBy93v582bB5fLhePHj8PlciE39+J51BkZGVi6dCmGDh3q9b3Fixdj8uTJos+U+8zpNGvWTPGe9Uk5OHy62P2/q+HHyH30gbLfhINE7hz8fVpaXXiMcP3h0jF1cLRjykpLLAA1sncSesvQjO0SUmn66WA2xi3a4lEuT/9Wovr9auxCSl4pukW1wMHTxZh5eVcMj4v0axtCiq/qux0YEVuEb6/bS8ieZF8waVqcEA/FjL3EemjWrBlKfH8s70ZrGWs9SvLRq3tg0rvbkF9arao8zbA1vtA3NKMOqm3vmzVrhoadOqJtbKC4f6uFb7vkPhPWA06ehYVsXBQqTxZLB/Xl5eX45JNPcPr0abhcrHK3b98eAFBfX4977rkH7777Lh599FErk2Urubm5ikdhpOSVIq5dGI7msjNQXSObI7JFCPp0ijBkHz2gz+A4ZW+3mnSQyF0MrTOhRu4l0xOoxmi0NPhaZW83esrQrLN5pd59PL/Mo1yO55Xi5ve3qX6/Grtw+9AY/H6EnaRdsuUEhsdF0kYWvqvvdmD0AEIoezX7gknT4guDHqvJzc0F0zIagP39AiPQWsZ6jpLUghm2xhf6hmbUQbXt/bGMM1i8mw12KNbG+lo8ATHMLk81z+fkJtR5X5KnGVjqfn/ixAm0bt0aL730EgYNGoQrr7wSGzduBAAsWrQIV1xxBQYOHCj63Xnz5qFPnz6YMmUK0tPTiT/jU11djZKSEo8fu2nVqpXiPe3DQ3A8jw2SFxYajMyzFdifeQ7doloYpsBaDY7dboda00Eidw6nTVroCVRjNFrO1lYje3/AjqNU+OWyPikHU5ZsR6MgF67to+79pHaBzeNWpOazdio1vwxj3mTfEeiNbKDpux602BMhfHvNl73aNoI0LUakWS9OaaPchLRwRL/AKKwuY63laYat8YW+od11cH1SDu7/KccxWyLNwKzy5HT8XPkFr+eT1APavnpi6aC+trYWp06dQnx8PPbs2YN33nkHU6ZMwZYtW7BmzRo89dRTot/7/PPPcezYMSQlJeHKK6/EpEmTiD4T8vLLLyMiIsL9Ex0dbXge1dK4cWPZz9cn5WDhj8mob9Dqygt1qKtn0KVNc6Tll8l+12yccu6jlnQoyZ3DVyctrEJLg08qe3/Bjr34YiuOq2f2wfu3mfP+n5KyUXGhFi1Cg3Ft3w5oERrsEfMjkAk0fdeD3tUsoZ0srWGva2kjSNNi9wqc09qG9Uk5uG1liu39AiOxsoz1lKdTbI3VfUO762BKXikGRoc7Kt6OkZhVnnxdn/npbpwoKHM/f8ybm/Hw6v0A5OuBU3TeKVga/b6wsBDt2rXDhQsX0KhRIwDA4MGDMX36dLz00ksICWFn2XJzcxEeHo6FCxdi9uzZXs8JDQ3FmTNn0KZNG1WfVVdXo7r6omKUlJQgOjra0dHvZ3+xF78n56JFaGNc0S0Sf6UVory6FuN6tcN70wbYugq26PfjSM0r9XJ56t4uDHPGdXd0OkiixFoRrZQEp6TDKAIxGrjeiLRGvF8odyPf/+ZvKUjLL/Oqg/yjwQKVQNN3uxCzk7W1tXj55kSk5JU6oq0yGie2DYt+P449qWfwzvTL/UrWVqD7hBWH2Bqn9A2tor6eQXLyES/ZW9XGm40Z5cnX9TbNmyCjqBzNmjTCSzf2RWlVDf7z/WEEBwXhql5RsvXAKTpvNqTR7y0/0u7qq6/GI488gokTJ+LkyZMYPHgwDh48iE6dOrnvGTVqFB555BFMnjwZtbW1KCoqQrt2bBCFNWvWYO7cuTh16pTsZyQ44Ui7nJwcdOggbayd3Fm2e7CiJx1Kcgec0zA5JR1GQSJ7ivGYKXen2AInQvXdGsTs5GOr96Bvl7Z4WLAvmMPX9dOJbUN9PYO8vFwvnfd1WVuB3vJ0iq0JxPbAKbI3AzPKk6/rrZs1wdmKC25dZwCk5pVi4fW9ERUeKlsP/FnufBw7qE9PT8fdd9+NwsJCBAUF4emnn8bNN9/scQ9/UF9eXo6RI0eiuroaQUFBiIyMxKJFi9CvXz/Zz0jwhUF9IBpHKyAxBE6RvVPSYRSBYoSdBpW7PVC5W4OYPczJyUG7du190k6S4NS2geq8NvSWJ5W7fVDZq0NO1wHxrRNSNj4Q5E46XrX8SLvY2Fhs2rRJ9p7Nmze7/27evDn27Nkjep/cZyRw8xl2Bsw7deoUmjdvbtv7AxUqd/ugsrcHKnd7oHK3Dyp7e6Bytwcqd/ugsreHQJE7N05VWoe3fFDvJEpL2SAWTgiYR6FQKBQKhUKhUCgUipDS0lJERERIfm65+72TqK+vR3Z2NsLCwuByWe+qxgXqy8rKss39PxChcrcPKnt7oHK3Byp3+6Cytwcqd3ugcrcPKnt7CCS5MwyD0tJSdOzYEUFB0gfXBfRKfVBQEDp37mx3MhAeHu73CulEqNztg8reHqjc7YHK3T6o7O2Byt0eqNztg8reHgJF7nIr9ByWnlNPoVAoFAqFQqFQKBQKxTjooJ5CoVAoFAqFQqFQKBQfhQ7qbSQkJATPPPMMQkJC7E5KQEHlbh9U9vZA5W4PVO72QWVvD1Tu9kDlbh9U9vZA5e5NQAfKo1AoFAqFQqFQKBQKxZehK/UUCoVCoVAoFAqFQqH4KHRQT6FQKBQKhUKhUCgUio9CB/UUCoVCoVAoFAqFQqH4KHRQD6CqqgqTJ09G9+7d0a9fP4wbNw5paWkAgPz8fFxzzTWIi4tDQkICtm7d6v7eSy+9hB49eiAoKAjr1q3zeOauXbswdOhQ9O/fH7169cJrr70m+f6KigpMnToV3bp1Q/fu3fHtt9+6P1uwYAH69OmDxMREJCYmYvXq1ZLPkbtX7h124WS5cxw9ehTNmjXDI488Ivmc9evXY+DAgQgJCfG6Ly8vDzfddBP69u2LXr164a233lKUi9k4We4zZ85Ep06d3Dr82GOPaXpOamoqxo0bh379+qF379746quv1IrJFPxF9k8++SR69uyJfv36YdCgQfj111/dn1Gd90bJ1nzwwQfo1asX+vTpg379+qGqqkr0OcuWLUOfPn0QHBzsJdfU1FSMHj0aiYmJ6NmzJx599FHU19erkJLxOFnuN954o1vXExMTERQUhB9++EH0OfX19XjwwQdx6aWXolu3bnjvvffcnxUUFOC6665z6/uMGTNQWVmpRVyG4i+yf+edd5CQkIA+ffqgb9+++OKLL9yfVVZWYvr06UhISEBCQgKuv/56FBQUaBGXYThZ7mpshFy/5v777/cov9DQULzzzjsqJWU8Tpc9aZ9Ezt4AwJo1a9CnTx+33mdkZKiQkvH4i9zlbA0AbNmyBYMHD0bv3r0RHx+P7du3qxGTNTAUprKyklm/fj1TX1/PMAzDvPvuu8zIkSMZhmGYO++8k3nmmWcYhmGYXbt2MZ06dWIuXLjAMAzD7Ny5kzlx4gQzcuRIZu3atR7P7NevH/P9998zDMMwRUVFTNu2bZkjR46Ivn/hwoXMjBkzGIZhmPT0dKZt27ZMYWEhwzAMc+7cOfd9p0+fZsLCwpiCggLR58jdK/cOu3Cy3BmGYS5cuMAMHz6cmTZtGvPwww9L5iMlJYU5cOAAs2DBAq/7pk2bxixYsIBhGIYpKytj+vXrx+zatUtJNKbiZLnPmDGDWbx4MVE+5J5z+eWXM0uXLmUYhmHy8/OZmJgY5vTp00TPNRN/kf3PP//MVFRUMAzDMAcOHGDCw8OZsrIyhmGozoshJ/d169Yxl19+OXP+/HmGYVh9ra2tFX3OgQMHmOTkZOaOO+7wKqsbbriBefvtt935TUhIYNavX08mIJNwstz57N69m2nTpg1TXV0t+pwVK1YwV111FVNbW8sUFRUxMTExzOHDhxmGYZiHH36YmTNnDsMwDFNbW8uMHz+eef/998kEZCL+Ivs//vjDXTcyMzOZNm3aMGlpaQzDMMzixYuZm2++2Z3He+65h3nssccIpGMeTpa7Ghsh16/hk5OTw4SGhjI5OTmycrECJ8teTZ9Ezt7s27eP6dGjB3PmzBmGYRimpKSEKS8vVykpY/EXucvZmjNnzjBdunRhkpOTGYZhmKqqKo8xl1OgK/UAQkNDMXHiRLhcLgDA0KFD3TNfX3/9Nf79738DAAYPHoyOHTtiy5YtAIAhQ4YgNjZW9Jkulwvnz58HAJSXl6NJkyZo3bq16L1fffWV+x2XXHIJRo0ahbVr1wIAWrZs6b6vrKwMDMNIzqzK3Sv3DrtwstwB4LnnnsOtt96KuLg42Xxws5PBwcFenx08eBATJ04EADRv3hwjRozA559/Lvs8s3G63EmRew5f7m3btkW/fv0csVrvL7KfMGECmjZtCgDo06cPGIZxr5BRnfdGTu6vv/46nnnmGURERABg9bVRo0aiz+nXrx969eqFoCDvptvlcqG4uBgAu4JZU1ODDh06yMrFbJwsdz6ffPIJbr/9djRp0kTyOf/617/QqFEjtG7dGlOmTMGqVavc6SktLUV9fT0uXLiAiooKdO7cmUA65uIvsh8zZoy7bkRHR6N9+/bIyspyp6eiogI1NTWora1FWVmZ7bJ3stzV2Ai5fg2fFStWYPz48Wjfvr3sfVbgZNmr6ZPI2Zs333wTc+fORceOHQEAYWFhaNasGbGMzMBf5C5naz744ANMmzYNvXr1AsAep8cfczkFOqgX4e2338YNN9yAoqIi1NTUeBirrl27IjMzU/EZy5cvx3/+8x/ExMSge/fueOmllySNXmZmJrp06SL5jnfeeQc9evTAgAED8PHHHyMqKkryvVL3Kr3DCThJ7jt37sT27dvx4IMP6srTwIED8eWXX6K+vh4FBQX49ddfbXeVEuIkuXPp6du3LyZNmoQDBw5IvlPuOQMHDnS7TqWnp+Pvv/92nNwB35W98P2xsbHu51Kd90ZO7snJydizZw+uuOIKDBo0SLMb61tvvYVvvvkGHTt2RMeOHTF9+nT0799f07PMwkly56isrMSqVatw9913S75T7jn/+c9/kJaWhvbt2yMqKgq9evXC9ddfr5gPq/FV2fP5448/cO7cOQwePBgAcO+99yIsLAxRUVFo164diouL8cADDxA9yyqcJHczbMSyZcuIy89qnCR7NX0SpfYiMzMTI0eORP/+/fGf//wHdXV1ivmwEl+VOx+hrUlOTkZlZSXGjh2LxMREPPjggygvL1d8jtXQQb2Al156CWlpaXj55Zd1PeeVV17Byy+/jMzMTBw5cgQLFixAcnKypmc99NBDSElJwd9//42XXnoJRUVFhtzrJJwk94qKCtx3331YunSpe+ZRK2+++SbKysrQv39/TJs2DaNGjVKc+bYSJ8kdAF588UWcOHECSUlJuPvuuzFhwgSUlZWpfs6KFSuwc+dOJCYmYs6cORgzZoyj5A74h+w3btyIhQsX4quvvnLXFarz6qitrcXJkyexdetWbNiwAUuWLMFPP/2k+jkffPABpk6diuzsbJw6dQorV67E77//rvo5ZuE0uXN8++236N69O/r06aPp+6tXr0Z8fDxycnKQnZ2N48eP47///a/m9JiBP8j+0KFDuPPOO/HVV1+hefPmAIDffvsN9fX1yM3NRU5ODlq2bImnn35ac3qMxmlyN9pG/PnnnygtLXWvhDoJp8neqD5JbW0t9u/fjw0bNmDbtm34+++/8eGHH6p+jln4g9zFbE1tbS22bt2Kb775Brt378a5c+fwzDPPaMqbmdBBPY833ngD3333HX755Rc0a9YMbdq0QXBwMHJzc933ZGRkICYmRvY5hYWFWLt2LaZNmwYAiI2NxdChQ/HXX38hOTnZHVzk/vvvBwDExMTg1KlTiu/o168fOnXqhM2bN4s+R+peNe+wA6fJ/cSJE8jMzMTo0aPRtWtXvPXWW1i2bBlmzJiB8+fPu59z4403KuYtMjISn376KQ4ePIjff/8dLpcLvXv31iImw3Ga3AGgU6dObtfiG2+8EeHh4UhJSVH9nK5du2LNmjU4cOAAvv/+exQXFztG7oDvyx5gg8bceeed+PHHH9GjRw/3darz6uQeExODqVOnolGjRoiMjMTEiROxY8cORRsv5P3338eMGTMAAFFRUZg4caLb/tuNE+XO8cknn3isNIrZeLnnfPDBB7jtttvQqFEjhIWF4ZZbbsGmTZu0iMkUfF32ALtKNmnSJCxbtgzDhw93X//4449x4403IjQ0FE2aNMFtt93mGNk7Ue5SNkJtv4bjk08+wYwZMyS3C9mFE2Uv1SdRa29iYmJw8803o2nTpmjevDluuukm7NixwwCp6cfX5Q5I25qYmBhce+21aNWqFRo3boypU6c6Ru4e2Lyn3zG8+eabzIABA5izZ896XJ8xY4ZHkIeOHTu6gzxwCIM81NbWMq1atWI2btzIMAzDFBQUMNHR0czff/8t+u5nnnnGK8gDF+COHxgiLS2NiYqKcgdqECJ3r9w77MSpchfeJxcoRu6+wsJCd7r37dvHtGvXjsnOzlZ8ltk4Ve5ZWVnu+7Zv3860adPGHbhEzXNyc3OZuro6hmEYZsOGDUx0dLQ7sJvd+IPst2zZwkRHRzP79u3z+ozqvDdycn/xxRfdwb0qKiqYQYMGMV9//bVsXsSCGvbp04f55JNPGIZhAxQOHDiQ+fLLL2WfYwVOlTvDMExqairTvHlzpri4WDYPy5cv9wpclZSUxDAMw1x33XXMf/7zH4Zh2OCq1113HfPSSy/JC8Ui/EH2ycnJTJcuXZgNGzZ4ffbggw8yM2bMYOrr65n6+npm9uzZzKxZs2SfZwVOlbsWGyHV/ykuLmaaN2/OHD9+XPb7VuNU2avpk8jZm5UrVzJTpkxh6urqmJqaGub6669nXnvtNXIBmYQ/yF3O1vz111/M8OHDmaqqKoZhGOb+++9n7rvvPhmJ2AMd1DNsZxYAExsby/Tr14/p168fM2TIEIZhWIUYN24c061bNyY+Pp753//+5/7e888/z3Tq1Ilp0qQJ06ZNG6ZTp05Mfn4+wzAM8/vvvzMDBgxg+vbty/Tq1Yt58803Jd9fVlbG/OMf/2BiY2OZuLg45quvvnJ/du211zLx8fFMv379mIEDB8p29uTulXuHXThZ7nyUBvV//PEH06lTJyYsLIxp0aIF06lTJ3fUzp9//pnp1q0b07NnT2bw4MHMli1b1IrJcJws9zFjxjAJCQlMv379mKFDh3q8X81zli5dylx66aVM9+7dmVGjRjGHDh3SLC8j8RfZd+vWjYmKinLnoV+/fu5OB9V5b+TkXllZyUyfPp3p1asXEx8f7x4girF8+XKmU6dOTLNmzZiIiAimU6dO7omVffv2MZdffjnTt29fpmfPnszjjz/ujkZsF06WO8MwzPz585np06cr5qO2tpa57777mEsuuYSJjY1l3nrrLfdn6enpzNVXX80kJCQwvXr1Yu666y6msrJSlZzMwF9kP3bsWKZly5YetobrdBcVFTE333wzEx8fz8THxzM33XST7YsVTpa7Ghsh169hGIZZsmQJM2LECF2yMhony15Nn0TO3tTV1TGPPvoo07NnT6Z3797Mv//9b8mTI6zCX+QuZ2sYhmFee+01plevXkxCQgIzZcoUR0a/dzEMw9jlJUChUCgUCoVCoVAoFApFO3RPPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD4KHdRTKBQKhUKhUCgUCoXio9BBPYVCoVAoFAqFQqFQKD5KsN0JsJP6+npkZ2cjLCwMLpfL7uRQKBQKhUKhUCgUCoUCAGAYBqWlpejYsSOCgqTX4wN6UJ+dnY3o6Gi7k0GhUCgUCoVCoVAoFIooWVlZ6Ny5s+TnAT2oDwsLA8AKKTw83JY0JCcnIz4+3pZ3BzJU7vZhqOxL84D9XwD9bwfC2hnzTD+F6rw9ULnbB5W9PVC52wOVu31Q2dtDoMi9pKQE0dHR7nGrFAE9qOdc7sPDw20b1Hfr1o383aW5wJ7lwKA7gbD25ibMz1Eld4qhGCr7snRgz1vAgBsBWp6yUJ23Byp3+6Cytwcqd3ugcrcPKnt7CDS5K20Vp4HybKaiooL85tJcYMsr7G+KLlTJnWIoVPb2QOVuD1Tu9kFlbw9U7vZA5W4fVPb2QOXuCR3U20xJSYndSQhIVMm9NBfY9DKdTDEIY3WeEfymSEFtjT1QudsHlb09ULnbA5W7fVDZ2wOVuyd0UG8zHTt2VHE3HcAYhSq5Uw8JQ1Gn8zKUFQC/PMH+/csT7P8USQyTO0UVVO72QWVvD1Tu9kDlbh9U9vZA5e4JHdTbDPEsEx3AGAqd3bMPQ2R/ZC3w/hCgKA3ofSP7+/0h7HWKKH6j8z7mOeM3cvdBAlr2NtaTgJa7jVC52weVvT1QuXtCB/U2U1ZWpnwTHcAYDpHc3VAPCSNRJ3sJ8o8CXYcD9+0Ebv2U/d11OJB/TP+z/RRD5O4EfMxzxm/k7oMEtOxtrCcBLXcboXK3Dyp7e6By9ySgo987gejoaOWbuAHMtYuAFm3ZVfr1c9kBTG/z0+iPEMkd8PaQmLKSLQOKZohlL8fIeUAQb06yRVtgyudAfb3+Z/sphsidohoqd/ugsrcHKnd7oHK3Dyp7e6By94Su1NtMYWGh8k0j57EDFm4wyQ1gRj5hbuL8GCK5Uw8JUyCSvRJBEqZL6jrFGLk7At/ynPEfufsegS17++pJYMvdPqjc7YPK3h6o3D2hPWCbqaysVL6JDmAMh0ju1MXbFIhkTzEcv5C7D8YW8Qu5+ygBK3ub60nAyt1mqNztg8reHqjcPXExDOMbyx0mUFJSgoiICBQXFyM8PNyWNJSWliIsLMyWdwcyRHKvrxefOJG6TiGC6rw9+Lzcj6wFfpoLuFzAJSOAk1sBhgEmLWI9aRyKz8vdhwlI2TugngSk3B0Albt9UNkLKM0F9iwHBt0JhLU37zUBInfS8SodmdhMbq5vBHvyN4jkTj0kTIHqvD34vNx91HPG5+XuwwSk7B1QTwJS7mag8gQDKnf7oLIXYFGgTip3T2igPJuprq62OwkBCZW7fVDZ24PPy91HgyP6vNx9mICUvQPqSUDKXS9iK5vcwKjHBKLVTip3+6Cytwcqd0/okqPNxMbG2p2EgITK3T6o7O3B5+Vuh+eMAWd9+7zcfZiAlL0DPMwCUu56MWBl01K5G2AbDcXm9FCdF2JNoE4qd0/ooN5mMjMz7U5CQELlbh9U9hbC6+hQuWvAgI42lbt9UNnbA5W7UagbGFkqd4vcq4mxOT1U53lYGKiTyt0TOqi3mdraWruTEJAEjNydNpsOG2TvQBlYBq+jEzA67zCo3O2Dyt4eqNy1IBjAaxgYUbnbB5V9AxYfBU3l7gkd1NtMt27d7E5CYNEwwOvW3v+jZQKwffZaDMt13oEysANqa7Sg34WQyt0+qOztgcpdJcIB/N4VmgZG1srdGvdqcuxND9X5BiwO1Enl7okhg/otW7YY8ZiAJD093e4kBBYNA7zslH12pyRgoTpvJRc7OlTuKtHrQtgwgZh5ZJfxaaMQQXXeHqjcVSC2svnL40DrWNUDI8vkbqF7ta+kh+p8AyPnsYE5W7Rl/+cCdY58wpTXUbl7Ysigfs6cOUY8JiCpd3jkZn8lcOTutNl0O2TvPBlYgqCj46oosjc9voQRLoQNE4hBFTZ3eAOYwLHzzoLKXQViK5vdxgHdxqoeGFkid4vdq30lPVTnG7A4UCeVuyeGHGnHMAHWWTaQHj162J2EAIPV1S5dYmxOhwUIZ6+nrLzYSbARS3XeSTIQO7LILI6sBX6aC7hcbEfn5Fb03DgdaLqI/Z8iD9fRvnYRqy9lBcD6uexKWW91j+rSpYs5aaQoQttXe6ByV4HYEYT//EL8CEKFgZElcjfQNvpTeqjO2wOVuycuxoAReefOnfH4449Lfv7QQw8RPeehhx7CDz/8gFOnTmH//v1ITEwEAPz888946qmnUF9fj9raWjz22GOYMWMGACA/Px/Tp0/HiRMnEBISgg8++AAjRowgel9JSQkiIiJQXFyM8PBwou8YzeHDh5GQkGDLuwOOsgLgq9uArJ0ob9MHze9c64hBrinwB3WXjABObgUYBphk/6DOMp13mgyyDwAfjwRmbQE6Jpr7rk0vsZ0dXkeneNU9iOg2FBg939x3+wP19eIdaKnrYmTvBz4ehbQxn6DblbcYmz4KEbR9tQcqd3uwRO5G2EY/TA/VeXsIFLmTjlcNWamvrKzE/v37RT9zuVzEz7nlllvw+OOPY/jw4e5rDMPg9ttvx+bNm9G3b19kZGSgZ8+euOmmmxAWFoZ58+Zh6NCh2LBhA3bv3o0bb7wRJ0+eROPGjXXni+JHCFYuQ1I3sS5aDhjkmoJDZq9txQgZWLm6biQiqz9Zw15ERHy8fWnyJfS6EPI8RDoceAvoP9J/JxCdSEO9DW4xTPS6uz77av2mUAB79Ndi92pFnJYeCsVGDBnUx8TEYPny5bqfI7XC7nK5cP78eQDsbEWbNm0QEhICAPj666+RlpYGABg8eDA6duyILVu2YOzYsbrTYwXUdcQiBAM85nw28OsTzhjkmtEwi7n0Tflc3KXPYizTeSNkwEXO7zHBgLKxcG+/SIemR48etKNjBYIJxGYnt/r3BKITaai3l961UfS6uz4bWr8pHLRfYxEC/aVytw9HyT6AJisdJXcH4PgensvlwldffYWbbroJXbp0wfDhw7FixQo0adIERUVFqKmpQfv2F5W2a9euyMzMFH1WdXU1SkpKPH7sJiUlxe4kBAaCiJwpp8+aGpFTFWYcuebg2WvLdN5JMnBAdF5qayxCEPjq2FUrTD3ShyLNqVOn7E5CQEJtjT1QuduHo2QfQMf4OkruDsCQ3u2///1vIx4jSm1tLV544QV89913OHXqFDZu3Ig77rgDhYWFqp/18ssvIyIiwv0THR1tQoopptJwTJRqYyU1kCvP1/Y8vWjNB8ViDFhdd0h0XopFCCYQ60JbOWcCkQS/sE1S9VZ4PUBPxrAbv9AxFZiWX6q/FArlIoYM6ps2bYrPPvtM8kcPBw4cQHZ2tts1f/DgwejcuTP279+PNm3aIDg4GLm5Fw1lRkYGYmLEI5vPnz8fxcXF7p+srCxdaTMCv3UdMasRM2gG0i13rc/Tmz+P9wZWw+wzOm/U6rrYkUU2rNw6Wu5md/KtHEQIJhDdcneAl4wXYnLx9VUeXr2NTVlysd4K63PeMdu9Z/wVRVvj6zqmFjPyK9I+OdrG+znOkn3g9CmdJXf7MaSX8eOPP3r9/PTTT3j22Wdx55136np2dHQ0cnJycPToUQBAWloaTpw44S7IW2+9FR999BEAYPfu3Thz5gxGjhwp+qyQkBCEh4d7/NiN37qOOLzR1i13o/JXeS7gOpY+ofNGrq4LVm6Jzhw2YRDqaLmbbS9stEcBLXerEdTb+vzj7P8b5nvW57wjwIdDgbxk6j1jAo7WeX9Aon3K2fih3SkLWByj8w7Y6mcljpG7QzAkUN4333zj8X9KSgrmz2ePTVqxYgXxc+69916sX78eubm5GD9+PMLCwpCWloaPP/4Y//jHPxAUFIT6+nq899577tX4V199FXfccQfi4uLQpEkTfPHFFz4V+T7Iias3HI4MtmHMDORFuds1o9nwvq+nA40au88SD4SAWo7WeQ65yPkxKuuFlr39JgTw8gm5+yG+J3cfXuUR1NsT+7ahR+oSIOegZ33+dQFweA2QcAsw/oXAPB3ERJR13od1TBMG51eifWpakmHM8ymqcYSdFwRpDYQ+pSPk7iAMGdRz5Obm4umnn8b69evxxBNPYPXq1WjSpAnx95csWSJ6ferUqZg6daroZ+3atcNvv/2mKb1OIDY21u4kSKNrYGFCoy2cgZyyUvMxUbGxsTqfpyN//PcGNQJm/Ay06xkwHUtH6zyHXOT83CSfjJjtbLmb3cm3bxDhU3I30MbagqDedokfBAwYDtTVAo143Z1xzwPjX7x4EoaDTgfxB2R13igdc+Sigwhm1CmJ9imsskLfcymacYSdD8CjjB0hdwdhyBRHaWkpnnzySSQmJqJDhw44duwYHnroIVUD+kCFO47PrzDS/YdzQ96z3NBgY/mbP9b+PD3547vNxU8GXEHApxPY6yRu2XL4SPAhn9B52yPnGz8IdazczXYXtNkd0WfkvneF7wd0FNRPt+wbBYvfJ6zPvrDq4wN2XlLnjdzW5AtbR8wKkiqhp2kn0vU9l6IZR9h5LVv9jMImu+QIuTsIQ1qwSy65BF999RWee+45DBw4EJs2bcIPP/zg/qFIExxsqLOEwWgYWBjdiHENd/Z+Q4ONNSvN0PY8vfnjB037xwrx92rtWPpCJwdO13kSTF71NWkQ6ki5m30ygANOHvAZuf/yONA61vaAjkbiSNnrxQfsvKTczQoa6tSJDouDpPqlvvsIumRvlP7auRiRd4S1S3lHzH8XD6rznhgijYSEBLhcLqxatcrrM5fLheuvv96I1/glUpH6bUery5hZ7j8DZwKdBlz8X6e7ZLOJzwHNW6h/nt78ybl1Ox2D3B0dq/MkmO2ebOKeOEfKXao+Ze1h65Re11oHuCNaKnfSOioml5/mAO16e6/y+IJtksCROi+Fke7kVrimy7wjJiZG/HND2z/e5KoJMUgMweL23qf03c/QJXun6q8aKoo8f1sE1XlPDJm+2bx5MzZt2iT687///c+IV/gt6ekOdJfSs7pluPtPQ8Ptcol/rHEGMv1khrbnKeVPaca1PF/8c0NmUk1eQRZbIdIww+xInSfBilVftSs7KuSvKHc7Vruk6lOfW4xZjbTTHbEBS/WddBVXTC7//EJcLr7gki4BseyN0H1DjzmVg8DOW7GaL/OO9PR08c+NWkkUTq5WnlP3fauweOXUclvjBO8Ih6TDZ/s1RsEwnr8twm1rHKADTsAQy5KUlOTxc+jQIeTl5RnxaL8nJCTE7iR4o8dlzMhGzMS9sJrlrpQ/pYGvWZ0tu/YNa8iPI3WeBCtcKdUOQlXIX1Hudrj1StUnqUk8o55v4UDVkfruALlYAbHsjdB9K+qPjxxXZarOi02ufj294cNAiaYvjqW2xinbQBySDn2y9+HTIEpzgV+fAra9yf7/9zuW2qWQkBDH6IATMKQFv+GGGzx+rr/+enTr1g2JiYlITU014hV+S/v2DnS1ccDqltmropbK3SiDIzUbadm+YWMaHkfqPAlW1AsTB1u+JXcf7uQIsFbu/iM3TQhspF/pvCo7b4UeSL+DlbtJaRBOrs74mT1FBnD0RIcV+Ja+m4gNK7eaZe8jE3WSHFwFbH8XKGwIWFdwDHh/sGVxa6jOe2LIoP7kyZNeP6WlpZg7dy4efvhhI17ht5w6dUrfA8wwXiSr0WYbTJNXRXXLXRKljoyOjo7U5IAVK8iSDY/6/Jgne5NxyuqmR/0jl7+y3B0yIPT1To4Ay/Tdz+SmCYGNJJe9Ebpv0DGnUmVHauet0AOFd5xOOWBeGviTq0fWsqfHuIKAeB89scFArG1bLWovFPubIumwYeVWk+wdEMhVNyc2sb+bNGPzEBIGVJeZmweeTrByd0jfxQGY2hudPn06cnOpO4QcTZs2JbtRyrDZ4XYifKcZg3yTV0WJ5a4GpYFv5VlzOjpmryBLNTx7V2jKT9OmTekeKD1w9S//qCr5y+q8UwaE/tDJEWCKrRHih3IzAiLZG6H7JM/Q62lFYue5ZxUeB9r2ZH8brQdK6T2yFt1/v908XeRPonqcJvOpX5zYoAdLbA1gbXsh18d1SrsFjbK3+HQEU2jZhf39j8/YPNy/mw34F9nTvHfydKIFKh2jA07A9CWmuro6s1/h00RGRpLdaPXgXc2gy4y0mbwqSix3KTj55CSxv/csVx74rryV7WRp7uhIzEaavYIs1vC0jmXzpaHjFhkZaa4+B8qEwdczLsq/8DjwVgKrhxJI6rxcJ91qWfpDJ0eAbltDgh/KTRueNlJR9kZMhpA+Q6+nlZSnnNgg95blrBvsLcuN1wOl9OYfRX30MGt00QlbBR2EJbbGKROIsumwfuVWk+x9TX+FtqesgLUzALD5FfZ/Lg+j5pmfnvRNiPnpVvt10UEYcqRdSUmJ17WioiIsWbIE/fr1M+IVfktWVhYiIiJ0PEGD8SI57kb2iA3fd3XRLXdOPm0uZX8PmOF9RNSqf7ID3ybN2FWTs+lsZND4G4AJr4sfrSVVNmYfpSaH2LE83cYA4R01HRWWlZWFiNYiHxh1DJM/HA8jhC8brt517AfcvIyV/4lNwOeTgewDko+Q1Hm5Y99aXWKtLH35yEcJ9Nt4AvxQbqoRsZFZWXnysjfiyMP8o0DnwUBkd+DyBwBXI3OPOZWzb9yzODvQtJXxeiCV3uJstsM/cCZS2p5FghVHIxoxoW3G8X9mPJMAS2yN5ceESvQ3pdJxei+w40P2Hgv7Sppk75QtfaTwbU/mdvnjd03NQ4MunD2J0jb9EHH9S0DyD8CIx9jJBQuPrHUahki9ZcuWaNWqFVq2bOn+GTZsGHJycvDWW28Z8Qq/pUWLFso3ARA1bFpdj/Sskoq+0/cG+eRyJ2TgTO8Z125jgLhx7ErF7O3AnGTgkhGswZGakRUrG7tnxsWMs44ZZlb2ztgH5zOIudzXVl/8vGkr9vfAmZKPkNR5J60WWN3JscATgdjW6EmLr3UOjUbCRkYV/i3/PSN0f+Q8YPSTbLCo0lyZZ1jgaeX+juBdRuqB1LPK81kbVZbP6rycR4GdCNNlRrtjU1tmeL9GDCvbC7k+rlg6Em4CDqy0pa9EJHt/8iLkJlVm/AhE9mB/W+EdxteJ/KMoHv40UFfD1re6Gmd7OliAIVa2vr4edXV1qK+vd//k5uZixYoVaN1abEmOwhEeHq58E1+Jf5rDHh8h5e5tmPES6YCIdZzeGwSsuYf93If2sxDJXZYGuTANqw9iR3DxG52gIPHGj6Sj40TXWh0d0YjgCybvgfK9SSZi+C73XP37ejpQUch+LnMSnKTOBwWJdzaCguDXsgQs6XwT2xo6qaUdCRsZVnFa/ntGDKhJnpF3BFh9G/u3bpunUCcdsM84PDxcnz6bOfjx43qmv19DgFUTiEqLGWLvs7GvRCR7n9c9nu3h+rdGDKhJ67tQJ86eQOfvbwbSN3neJ6eL/jSxIoKhtfDkyZNYs2YN1qxZg4yMDCMf7bdkZ2fL3+ClxOnsisCRtTqMl8ZOgdBgjnkGqKkASs743H4WRbkL4RsCvnzWP8r+Fus8aWr8RMrGSSupejmyFmGfjTVvH5wDOrTmwHO559f59n2B5O+B359hP5fJs6zOi3U2/FaW1qLa1lDUI2EjT0TfYu57uXaBm1QTs11H1gLLJrDtZOxofe2kUp201avrov3WpfOcTC0b/JgxcWnPZKhf2RotA3Sr+0o5ScDyiUBOkn/JXgyh7akoEr9Py+SO3GQHv+8tohOlbfoBZzMabiaobz4/sSKPIYP6mpoaTJ8+HQkJCXj++efx/PPPo3fv3pg+fTpqamqMeIXfoji7J1TiW1ew11t21Wa89HQKhAaz5AzQ/RrgoYPOWUEmRPWMNmcIDq5i5ZF3BAhqDFwoY3/nJevvPEmVjT+51uYfxYWOQ7wb6tN79Q8g7ezQmjn7y9cLvst9i7ZAt6vYv4uzFPOsSuft3vJhGeZ3vsnl7nCvCCevcEgEkQuPaGnue7l2QW5SLf8o0DGR/Xvss9rbSZI6qXelUmsZC9qulo1roFmfS3OBfZ+q+44qeOkyY+LSxslQS1bqrULLAN3qvlLBMeDUX0DBMULZO9zGS2FnUEL+IFxEJ0pHPAvkJ7P/08UHYwb1zz77LCoqKpCVlYUDBw7gwIEDyMzMREVFBZ5++mkjXuG3NGvWTP4GoRI3bcn+lto7K2e89iwH3uojH4FdrlMgfDaXtrB27P9OWkEuzQU2LAB+XSDaQVGUuxRnT7LyGDgT6HI5ey1mGPu/ngmNQBlEjZyHikkfmbMPzs5tCmbN/irpxdmT7O9bP1XMs7zOCxpmLvhXv2nANa/41IQdMWZ3vhsGSM2ZMvvTYgS+sMIhSKOszhsxScG5fcpNqo2cB4xb2PAPo72dJLFvelcqtZTxkbXsNqDcJKD7BKAoDR2/u+HitrzVtwG5R8if54HBAwV+PVtzD/D+YGPbXJvbcc39GieiNEB32CSjoux9wcZLIWV7jFiMAeCu5xWF8mUq1Ikja9FxLeuGT17ffHRihRBDBvXffPMNvvjiC4/9823atMFnn32Gb7/91ohX+C25uQoGia/EfKPw6zz1FSh7P1BbyR5zY0SnwMkryKW5wI73gO3viRoIRbl70WAABs5g5THueWDcc+y1qxv+1jOh4cR982YQFOQte6PyLqa7E19nTxwgPZrRyk4CyfvkZFNWAOQcZO/b+JzncTIieiip82KdDeLgXwZipfyt6Hw3DJDOZR61Py3+CIG+yNp5IyYpSCbVKorUeWBJQdI229Em5x8FOvQDairZY6zGPAPUlF/cblByBlh+Dbk+V569+LeRgx9hPSs+A1SXsek1qs21uR1X36/xYZwwycjFVGLq5WVvh41XWNhShZlBCfn9j9+fESlTmUF4/lHW/Z60vvnyxAohhlj6xo0bIzQ01Ot6s2bN0KRJE+LnPPTQQ+jatStcLhcOHDgAAKiqqsLkyZPRvXt39OvXD+PGjUNaWpr7O/n5+bjmmmsQFxeHhIQEbN26VXd+rKRVq1ZkNxphFLjVfS5StlM6BTZALHfA0xBsmM/+LwwixgUb2/KqNgPqT/vmFfCSvVF5F9PR0lxgK2GZ6OokaJj9JXmflGza9mDr/7mGQcXZdMUgQqI6z7cr3SewewTfGwQc/V48PUp2QOvAXO0+Wr0TABZ2vlVvsXLshJ4BKxxGTtyI1h/PNKqy82opK2DLDvA+o5mzXUZ25i1pmzWU8ch5Fye4AaDkDKq7XMVuyxv7LHutQyKZPu9dAay8lf27aWvWq9CowY+wnj18kD2aq6RhL7QRba7N7bip+k7xJO/YxZhK6x9FW0jsMQc8de+aV1gPuHZ9gF1LzZuU4C9s5R0hs7tS9tmsoIReE21Z7HXOA0ppED5yHsomfkBW3wJk8tyQ1qBRo0bIzMz0up6RkYEgFQ3OLbfcgm3btqFLly4e12fNmoWUlBQcPHgQN9xwA+655x73Z/PmzcPQoUORmpqK5cuXY9q0aT61j79x48ZkNxpRgdwR2gUNtp8N2FkYib9ZiOUuZQj2rvA2NnoGhb4+maKis+4lezV5d5jLHQDphseItErJpuAYW/+5GBu3rlC0B6I6z7cro+axnjzt+zY8x6SJCqnvqdlHq3eVxpLONyu34EaNHJAWnRi1wmHm6ppIGuXtvI5JCq5dkHL75Oqtz0zYQHsZCye4R85D6YT3G7blNVy/+jllfT6yFvjlccAVBPSYyPZXGAZoHWuMvIT1LKydeD3T0+aa3Y4rtCmNGzd2ZhsJmJAuG92oN8wHPhwKXCgHwjsBF8oR9e0N7HUx+LpXmst6wA24nd2Pb9YJD3uWX/y/oojM7grts1yZGdFuCe3jLQ39mbxk9qSf9wZ6bOvxGoQHBYnbeNJJiE6DzJ1YsQFDLM3cuXMxYcIE/PrrryguLkZxcTE2bNiAa6+9FnPmzCF+zogRI9C5c2ePa6GhoZg4cSJcDQPSoUOHekTW//rrr/Hvf/8bADB48GB07NgRW7Zs0Z8pi8jPzye7UW8FCgC3EzdlBcBPcy/+/9Ncr/wSy13MELSOZWUoHOgLj9UIJFR01ollr/M9LGoafg2dBLnZ37wjbFrzjlxMu0cDqaNTMnAmEBUPMHXs/01bKtoDUbkL7QrAbicZdJeN9sKCTprZnW+evQ3Z9LS8/ITv5PSkXEc9MRLHrnDw6o9EGqv2rRb/qt72kHSw7gsTNoC+MhaJip2fn08eLZsj/yjQbRwwJxmYuoqV6SUjgG5jjZGXL06cC9sMhfYvPz/fGW7pYhiZLq3116iJhZwDQFh7YPYOYG4yMHsHakPbXNwOJ8RqHfOaJNfYpsqVmRH1aeQ8dovk7v+y/aT/NcQeyTkIJK8DWl96cVuPhI0l6k+W5rIimPi6py2+aoF5Eys2YYimzZw5Ew8//DDuuecetG7dGq1bt8asWbPw4IMP4q677jLiFW7efvtt3HDDDQCAoqIi1NTUoH379u7Pu3btKuo1AADV1dUoKSnx+LGbNm3akN2opwI5tlOmgBYDfGQt8E4iGz+gURP2J3s/e42XX2K5i3XKuo0B4sZ5d+jUHKsRwBDLnhQpPVHT8GvtJMh17rlOLPeb30DqHVSU5YtH3ZaxB6Jy97i/QW/TNwEfDNVoLzROVKjeR+vgYDcCextaflqdvbWjUy5naw1dbSYMiKSEsP6c3uPt3tppEFrViDzfiPaQdLDuKwNJrWUsIcuuKUvVy3jkPOCfX4jL1CnysiPuigpbYHjb6kSk6u+e5cplY5Rtnf4j8OgxoF1P9v92PVE4Yxsw/QeCLzfYQG4/vhltWOU5z/+3LiJ8l8Xtqnvb6ivssZ9n09nrJWfY350HXbxXwsa2Da0jK3fSbZg+jmGWctasWcjKykJubi5yc3ORmZnpXkE3ipdeeglpaWl4+eWXNX3/5ZdfRkREhPsnOjra0PQ5Fl91O5EzwFKNa/5RILwjEHc1O+M/J5n9O7yTtk6oWGdCrEN37SJtx2o41VVONVY1BiLvEdMTNR13PZ182c69hEzSN+kfVJBE3VYDf5C0aykb+V5tB1/rRIXafbRO9zoS2NvCf/zkXJdrDjlba9Rqs2JAJELE6uv+lWzgJr5761ULUDbwfu/vGzFJ4SuDdVK0lrGELBsXHlYvYzNkanT7avsqOEk7a2BbzJefblkalC6p+pt9wLqyaRSs7joH3wZy+/H1bmcSlsmRtcCqqezfQY3Zn8KGerfmHul3ibarFg7yOyZe3E7IxeLg4l3w3y+wB0EVBdbGQnI4hrRASUlJ7p+cnBzk5OR4XDOCN954A9999x1++eUX99ERbdq0QXBwsEfUyYyMDMTExIg+Y/78+e7tAcXFxcjKyjIkbXooKlJwSePQY1CFDTZTxw58xdxOrBxk6nmXVOM6ssFN57av2fy2aMv+fd8Ojw4KsdzFEDlWQ3Z/pZZ8GAGpfPWWucpBlmbZq3mPmo67nk6+VIezogj46x3277/e8WwguWMR9QwqVBxlxyEpd+EgqaYSOL0bOLWN/Zykg69mYoSvb2r30fqC15HA3hZUQOUg2GEdDT2DLa6s9yyXD4ikBrH6esmVovpSdPac9/d9xSXeSrSWsYQsU4e9SS5jM/sctg/CoTN/PFtA0P6dP5OmfcJTLJ18+Qn/Jlkd5e7hp/2nOcCvTxkfD0XqmGcPzLOtiv0aru3KO8J6kF4oZ3/nJWtvw8T0O30rUHeB/TuiM9CkGdCoMdAkjF0BF3uXWLv63qCLx1KaOnneUBbjFl48snvvpw152az4/uLiYvJ38Mvd6YsDGjFkUJ+YmIhJkyZh8uTJuOGGGzx+Jk+erPv5ixYtwqpVq/D777+jZcuWHp/deuut+OijjwAAu3fvxpkzZzBy5EjR54SEhCA8PNzjx26ioqLIbhSrvKSNhdieTamgVFY2gorv0mCAg4LEOyKC68RyJ8GpwZBIy1JPmWsYZGmSvex7RPRETcddaydfqv5x5zYXNJR/wTHg3QEXG8j8o6xnh574GEpRt0WQlLtQf2f8BDSPBLL2eN4n18FXUwf4+qZ2H63wPdN/FE+rnQjk5JY7ySDYto6GoA4ZNdDiyjp7v3hAJPeWJZHvaQ7QdDEvojpv94qwr3tn8dMvIbOo9h3FvysV/NSIPoclctXQJ9GaP74tWHMP8P5g+Xb2yFr0+OMO7ROeatJJci93z8FVnm332XTWk+bgKrJ0CZGqp1wcaCkbZvI+fMV+Ddd2DZwJdL+G3Y/f/Rr2f6P6i0fWAoe+ZRfuYkezab5QAUx8E5iXyZ5IIealK2xXxzwD1FQAxaeBtj2Vvee01j2PyZ65wDd3NqQnmZ2IIJj4aO0+8UGiToqVuy8sDmjEkEH9HXfcgZCQEEyZMgW//fYbTp486f5JT08nfs69996Lzp074/Tp0xg/fjy6deuG06dP49FHH8X58+cxevRoJCYm4rLLLnN/59VXX8Xff/+NuLg4zJw5E1988QV5ZHMHoCtSP6lhla1sEhWhosjejoeiAZZwwyZMs6EnJOha+XHYqpxaNExoaJK91HtO71V3BrTUhA/pvXyk6t+RtWyDGBLGNhjBIUB1CXA+s6FTc0K8AVETH0PoFcLtJ+QHVxPUB0m5CyPz7vqYbcT73KKcHuEzmIb9bUwdWR1Qu49WWNfqa9Sn1WKI9d2ujoaYrTV6cnfgzIvlVlYAbGnYQpefLN65lnu/XH0V5KWuxKL2S++AyAw3cRtXv00/gUhpVdmNge2rlRNuwqNGz2YA1WXsYEuqnc0/iuoOGrZNycKXX8Pfe5YpBz3kI/RMu1VhQk8LSjZMj20lrNuKOs8FhWvcnP3dridrE8c9p8NTSKDf+UeBTv3Zv8c+63lsY1AQe+KDWHA4YbtacoadcPjnKnZR4pbl8rqkpb3gl0nnIezE77mT7JHbjZqwWbr6BfmJj7ICNP+z4ThNsTopV+5OXIgzAIUNIGSsWLECpaWlWL16NWbMmIHg4GDcdddd+Mc//uF2lSdhyZIlotcZRtogt2vXDr/99pvqNDuFc+fOoVOnTgR38gzq6CfZyJskcJWtx4SL3xEGpZqykhf9mhfISPg9w5FocI+sZWftXC62Ip7cylbESYvY/4UGnEu/WF4lIJc7AVoHhVL5MAzSDo2Ojs/IeZ755AZl9fWSX9Eke7H3JNwkryd2EdmDdSHnVuN/XQAcXgP0vhm45kW23NfPZRuQ3iqfzU1ucM/mnpV9gPW+4eu+oD5Iyp0vV74Xj/sITAK4ZwjroGgd4Omb2rojuUqjIq1GU5rLTqoMulPU7hDru1TZatETUqRs7RUPGfSChrLmykfJtutB5Nltv54E3PC2vfaABBVtly3PU4k6G69j9Vsuf0a2r7r0VkP++Lag5Axw/Begy4iLe4zF2tmR83AiORkJwglSmbZYNp3CVVSOfSuA9n0I8tTw2cAZQKeBFy9zLtYDZpAlS8G+epVN+mbgrQRgGC+ehgW2VVHnuaBwW18Fek68mBeuTVPrKSSm3yPnAbkHgY9HAWAuHtuopAPCd3P9rewD7P9NW6nUJQL4ZbJ7KfsOhgE6DWBP3/n5/4Dq0ovvDQryfH9DuTeqq5euk1LlHtkTuOrJi89SXVeciyGDegAICwvDv/71L/zrX//Cb7/9httvvx35+fl4/PHHjXqFX8KP3C8Jv/LuW8EqbFh7aGos9q5glRrwDEo1aRHQZfjF93D7gfkoGVc1yDW4cgYYMo1rq0uIXy8rdyPzKYWZnVuAvEOjt+OjYUKDSOdJnmfHIMgDifo3ar5nesc9D4x/8WKDwdSxx9GRdmr4SE2inNmveM67ermb4D1i+ESWAzxdFAYYxHLXMEGmG6k6ZMRJHmJlTVxndQ6EGp5dt/YBBFtiD9Sk1wE6qwvl9BPrvJI9UNUW89JldPuqta3Rau/4toCLBH7180D7vp738e1FUJC43LVs+0m8DfjjWVZ+nYewMVYAIKo3kH/E895rFwNHf/AsI/7zNsy/mG/+9V/nkclDaQJHWDYnNgGfTwYKUhpuYHTaVrL6qqlfoxUp/R77LHBgJXsPX9/ETrmRy4/7fsG9krqkwabxy4T/NzeA55eP2MRHQ7kXD1uANjE9xeuk2nL31UCnPAzLQW1tLdasWYOJEyfi0Ucfxf/93//hzjvvNOrxfktFRYX8DXz3kdjR7LWvp7ODcyJXMEFDJxWU6sg65UBGRrlkKrlCybmzy7p7kxsWWblbEVfAiH34cnu65eQrFbzKKHdfBddPRdmTuo3yzzgtzbU24JWcK6awYRA2SJx+aTmHnHQ/ocff7G9FWwNoOFpOiMy2GKP1zUcC3RDJHdC3DcSoIKp6TvLgI2WD2vZQ3qqktVxF8pI38nVpe2CUi7ohR2caPdA3aeKAMK+SOl+aC2xYwHovkdgDybZYZlWZf8Th9B9Zz6npP+pzr9WyxU6Py7fUIEzBFhDbGo7SXODrGWwMGH46f3mc7RfetxO4dDR7glDc1UDzhvy7gti91kVpwPJrPMtIKt8b5pvT3xCWTdOGPdbnMtjfvzwhvV1AKsaDWIA/hbpNJnuD6qVYbJngELbc5ORrxjG/Wu21YEJK9m8xW91Q7uVo8AYXq5P+dkoJAYbkbM6cOejZsyd+++03PP300zh06BAef/xxtG1rpCuxf1JSUiJ/A7/yjn2GvRbeia08XOUtPM66G+1Z7vldsYZOKihVZPeL75nwOtD6UvZ7u5Ya31lWGtDKVUSpxnXQXeSGpTQXodsX2xuoyIgIzFIdHiX5SgWvMmpfkcKkiKzOq5lQ4Z9xyr9fLDCkkUGspCLFfj3dHp0Sa1RFrinaGrVHy5GkAzBH38zYf655kCffUVOUu170TEIaeZIHn6zd7ABgxo+eZV1wXD4dhg2EWEpKSqTbEyMmb404OlNugl6LTpo12aUir5I6X5oL7HgP2P6ednsgzN/eFdJHHNbXsGVcX6NvwlfL4MCIifu8I8Dq29i/CcpSta0pzQWS1wEd+nmms9s4tl/Yoi3bV7nta7b/eWYv+732fdgz2e/bCXRI9HwmP9/D57J9yXZ9gJyDGuWhMBAWloHe416lAvzxnyNSLxVlb2S9FIstU5oDRA+Rlq8Zx/xaFQdGpp/nljtXJloWS/wIQ9zv3377bcTFxWHXrl3YvXu31+f79u0z4jV+SceOElFiOTj3Eb5BqC5hB+M3vO/pbsTtfwHE3XMKjgPXLfYeSPJdXOTc1lp1bXi4zllGPa5QYo2oWle70lxEHV0GXDlDwqXPAvdIM2cQSeU7cCa7f0npPoNR1HmjUbO/lOReMVfMb+8Ckr8HQlsBo+crvMdA/RLT/XcS2c+CQzzqQ9ehjwKbfhR3ZRV68WTtZPWgzaVk2xlk7UbDthgj9c2MrRda9iETuNdaru96MEqufW4BdrwP1DUEjyIta+79I+exLr1XPsaWicZyNV32auQldu+qf7J606SZeNulVifN3NYll9eYXA83eSK5E9kDga0Uy98vjwPtEoCpq73TJdySZ+UKnd7tNEfWAj88DFQXs16auUmKZalZ38c959kv/OcX3v3CHx4GLpReTMsHQ9m0XP3cxT3cgGe+0zcBp3cBNy0Fet/keY47iTzKCtgj8AD297Rv5N31ywrYhSiAnUyY8Dr7txYbxgX4E9P3Vpd41UtR2XPbR8LaAxufM65eSunxuOel+/d6bZXYvXZtgeRty3HL3eY4Ik7BkEH9pk2blG+iiFJSUoLWrVtL3yA20E7fcvEc6d43XnQ34p/TqaayiexT8fre6b3Ajg/Ze4SdV7V70I0e0BppWEwPXmckEoNDRfk23C8VXEx3x0d55dKt80LdqShkr3O/db7LFMQ6a1c/D3w8kt3XLlcPjNYvMd3/dCIAFzBzvUd9YE7vA1LXiDd63NFykxZ71qGoeLLVLbk6yE0GGqlvduw/F0I4gFK08boxsA4YJVdXwzO4U1S4OkFy7jkXoInroOkoV3nZE8hNqW1TIy+xe7uNAcI7GtcpNrOTLZfX3CSPDrW03HmyVrIHpDEZfpoDtOt98eSNQXfy0nXQ+71Wobefk38U6JgInNzC7pUO76RYluptjUwdEPYLxdIi1y8U0khiuCElD86+MnXs/2fT5QfC3P2Atz3WEjBQGOBPqO8CRGXPDTQHzDB58EtQjnptldi9lrXDgvzxBvDl52vQ+uAS1ktBDVbEzrIBQ6YtR44cKfozfPhwnDt3zohX+C1lZWXKNwnduO7fJXBb4gZpvO9ode8W+17CTWzwDbk92nrcGPXubSTNK/ce94BRYAB96exKra5cZu9DJni+h87zdaesAPi9YYvJ788op404L2oGPQT3ykZ0l8EM/RLT/enfA/GTL3aGGupDXvQE+efIHS2nVEeN2BajBqmOYHm+DltCqCecLLJ2E7mTEtl4raitz0rlaNiEa4MMuVNUSMvDqPc35LOqIEP8c1K5KbVteo/OVGy7VE7YGLGtSwoVeRXV+bICzyjqP82VlruamAz//ILNn7CsKorsjblhRL9m3MKGfxiislRla9TYDrG0KPULAYCp9/ytBq7fyx2Bd+sKeXd97v77d6nb1slHGOBPTCZBQRCrl7Ky5x/pCbCu8hVF7HGFeiEtRzOO+bViz7pY/rgYCRVFqC7KbIhRJNGvl8KK2Fk2YIovUkpKCh5//HF06tQJL7zwghmv8Buio6OVb5JrqKX2XGmtbHJRxs0601Fv5SLNK/cebuAoNIBm59MotA4OzZ60IHy+qM6nb2Lv5QI0FmfJp400L2YEhpH7HgBUSExkmqFfYrpfls8emyOoT+3c0XkVVmXErmsZ3BxZy7poWjlJJpZOks61mrLn3tHnFqIBFJGN14KW+mxFR8YjwvUCjQ/R6X3QkM9OESKrg06avJWrd1rskW2BoTzLy0vnj6xltwVl7weCGrOeHNn72GticpeylUoxGfjvs7uMtdY1zl4VHBUvf5myJLY1auUjNkGi1J7lHQPWP8r+vf5R9n81cP1e7gi8pi3lJzX0Tmjp7FOIy17CK7LgGHtWfJGEPpPiBD03E37+uk8AcpLY+EXHN7CflxeiXbt27N9/v8P+dnDQXCswzNJXVFRg+fLluOKKKzB69GgsXboUmzdvxp49e4x6hV9SWEjgZiwVofPbO4Fl49kjT2JHm1ehjV5NIMWo6MQcvAAqZV3GqYu67ySkglApDQ7zjwKdBwP9pgHXvGL8pAXhoNVT5xt0Ju8Im6dJi9n/byGclee/q9Mgdj+dUhRePYFhpL5XeJwNLgcAX97CBm8SYqd+lRUg+PeGARZJMC4j6p6dk2R7ll9Mu1LnWmvZu8gGUEQ2XgtiEZCbRwJZNra5wtNayhv0jH+KihIGehOdP3/e+6IqvWywT3uWWbuiY2UAKr31XKS8vHQ+/yi7zSDuauC2b9iV2+hhrBu3mNz5trI0lz3hZOLrCraS1w+RK2Oj+xVGw9mrZRNUlz+xrVFTB7ScZLFhPvDhUOBCOVvGF8rZ/zfMJ5cDN7HF31NfVqB+4krNdgclmcjUSy/Zy9mxyvOev7XiKwtRWuHnb9Q8oLaSPXXhyDr28z/fRPDvT7F/qw6MaMPWTQswZE/9v/71L3z33XcYMWIE5s2bhwkTJiAuLg49e/Y04vF+TWVlpbYvclFLOw5gZ7wJ91xpQs1qgqY9whKVy+jAF2dPsr9v/RQZlVFI6NrOU16+cvyF1iBUI+exe8E+Hsk+o2OisfufCPdXuXWerzt5yUBhCvDnIvb/LS+zutSsDfm7rlrA5q00l9UXMwLDCMk/yh79c/YEOxvfYyKQ9gebr9Bwz71/lumXoD417DVsXFdPHozL65qGBtCWfe8N6VOKbcBHddmrk4VmG6+EUL71Nezk0o0fy3zJ5I4MX5Z5hy8O5nctBRJvV24bDAv0xuavurrK+yNSveTbp30r2PdbtffSqgBUettYifJq3G8OcOlDF+8bOc8zXgIATHjF+9x1Dn75kKRR2A/5x+dAWLuLn8vs/zcPnXWtaUv2lKJ2vYnLn9jWqLHNUroo5zWRc4CV7e3rgHY92VX6LyazEfBJUbunXi8kMpGpl5Vt47zTLmXHqs6z93G/zUyzL8PPX8kZ9nf+0YtbjYuz0LSm4ShBNYERfSp2ljoMGdSvXr0agwYNwr333ovx48fD5XLBJRUEheJBly5d9D3gsn8Da2fBY8+VVRXaiA6YVZWLcxcDgM2voOukJcbLy6rAG4QrhMSfGzWo5PZeC2UgeH6XLl28def4r+yHZ9PJdIkkzWYEhhH7HgDkGxjsSg8ywaWqRj2HFu0uUZ8+rXXU6kky4TaISm4bhELnWk3Za5CFbhsvhZQcpdpeK2wtJ8sja4EfGgZ1hJG7ARgzmOXl85KjHwL9R3rmk0Qv+fYpdjQ7OfH1dOD6d8wZUAjxlc66RHm1c52VaQ959dEIWyDWD+EiswvLyqoJel11rUE+50+pnrgntjVqbLMWXZz+o2dgvHY9gUePAXW1ZOkDLurWoLvY051uXcF6zJjVrpLIREYWXcrLvdMuZscij11cvPhzEdDzelY+HGr6kb6yEKUVj3w01It28UBtNbuYWVvNXmvZla0vJIERzTwhxAEYUvI5OTm4/fbb8dxzz6FLly546qmnUFNTY8Sj/Z7cXK0uYA0KLraPxKoKrdf1R9HF0KBVJZGzl5suG3nxPUbJy7LAG3rkYvJKHYEMcnNzvXWn53Xshz2v06ZLXEMIwJ03MwLDiH1O4lZvhcungptkTkmtRPrEdKLhby7WgdP37Hm4fY9ir309Xf4McA7SstfoEq3dxqtFpm5b5c7Nyez0HiCoEft3TQUw42ey+qxmi4pYnRLkk5HKp1J95Nunsc+w1zokWufWalVnXfVpIwIkyivzkqnibYGmrRUKbZbqfoiKNlCL3dZT1yQnJhtQKH9TbI0WXZSKdC91XQy1e+qtQEYWHrKXsmPVJew2hNoGj4raSu9tCVJ9KKdvGzETfr04vRs4d5J1w+cmsAdOJw+M6OdbFgxpIVq0aIG7774bf//9NzZs2ICqqipcuHABl19+OT744AMjXuG3VFdXq/9SWQGw5h7274JjrMuvHZ1tvXuE5SqXkVHaRd5TFtnfNyuxHrmYHfleCkFjVF1d7ak7ZQWskQbY32UF2nRp36fs31YHSpGKDi/mQmpGg6wUjb3BTdLL1kgF4+Jf27WUjcNw3042DkO/aWzsAqfVHa6Oz/gZqGnoMDF17BnWRg1kNXYGNNl4tSjVbSs7MkfWAvtXsh5FnNw/ncBGy1aqz2oGEGJ1SpDP1HFfiOdTqT5y9gm4KNe6anbV0F9Qe9oIH87mlOeLflx9QWRRR8tgl6TNUtMP0XJahJSeSA2ytNY1qYlJFfbKEltjFVLtk52r0DIDaw/ZS6Ux5wAbO4jbdtK+L/t/zkHe6UxF0u/2t2jtJBMV/HrRtifbrjAM66XMyXH3J+xvuVOvuHf4SuwsjRheO+Lj4/HGG2/gzJkzePTRR7F+/Xr3Z35lcAwiNjZW3Rc4BS8+wwaeCQkDMncAY56xfrZJ72oCV7m482WZOvb/tj2MXVUSqcSNb1tlQiU2eRVczwqAZVFSRWQgaIxiY2Mv6ojQi+LsCc90kejSkbXA1zPYv80MGCmH3kjHehpqwmjsXrZGTCfeSWR/uGs1lezM+Klt7Hu2v8vGLpCrO2atKMg9d+BMtrFfPv5i2uvrgfo61jYaMZDV2BlQbePVQlK3rezI5B8FLrlSfFBjdodckM8u8QO15ZPbQiCU6wdDneelogV3P4LwtBEhCvaO1XlBW6B2sEvaZpnsaSOJlAy01jWxicmgRuxZ8ISYbmusxImR3WX0PjY2VrqN4q4n3ALU17L7w3vfyP6urwUG3X3x2WqPZjMLKzwDuDyTek3N3g7MSQbadGO9G86fQm2P64Haqou6IXXqFfd8P9+yYFougoODcfPNN3sM6ocNG2bW63yWzMxMdV/gFPzhg8C/NrHBhzoNAkqyfW+2Seq4rIJjxq4qiVTWzMxM88/SNBo9q23uDsOPQGQP9rfRk0CEMvDQeSNWEPOPAh37sX+Pfcah7lQSEz5Gzr4rxFo4k7LPs/HkZD+9QSem/8hOFIZ3ulge9+8Sl6Vc3TFrRUHuuWX5bODQDv0upv3hg2wwrJJs9h69A1kSjwwRVNt4tZDUITXHfurtyFk2gSBSpwRl5Ja9V/4JJmCV5OrL7rDuM8A/Zf+/9VNDbeaZ4we82wK1emF0BHtNbY2GiXqtg4aR81hvlk95Ue9dQcD+z9kVe4K8mm5rzMBojwer0icgMzNT3nV+yyvsirxYngp5QQclj2YzedFIiJWeAfs+VfaaatGWrUMt2gLdxgBx44D7diKt/wKH9vnswZBAeaQwjM0zTw6ktlZF4BDAM1BH9gF25WzWlotuKFbPNpkRHM6CIEGq5S6HVYE39MiFH3mYi/xrpEzlZNCqa8NNbP33kL0RZT3obiB9M/s3F5TI8qBSMg2u6QHKyBp7V1meZ9RnMZ24byd7M1cmHlGjucjFDrbj4567KNuwduJ6oMdGkkTiFthEQ22NGEbaSy5/0UO023UrVkLk6hSvjGprRbo4pPVRSa5Gn86iB7Xt8Mh5rJvvV7ex/29+Rf60ES/k4zdc8vPDQHCwvqCncvLXEsFebT1R1BODB1lBQeIB1r69C0j+Hhg+VzGvptsaM5CqR04JFslPn0yZS8qeH+9n4Eyg04CLn/Hz9Pfb7DXuaDZ+veky3E+jtRPUHYXgjbW1eQq6YfFkiM1YOgKkEfG96datm7ovOM11xJDZPEGlsyCPquUuh1UzynrkYrZMpWRweq/Xio2H7PWm68ha1iVWzEXPrkjH/Nl1s4NBqvAQiY6O9rwgFTBQ7HpFkQpPFLMa0YbnVRSKrJzIvNOOiU6eTTTU1ohhRt2uKHLu/k0Vbrleslfj0uu0tlYOte3w0e/F5XD0e+XvEsRvcEltv+DSSrLKbrT81TxPSU/M8swT82a4+nnir5tua7SixbPCafWv8pxsmbOyl9h+yMX7kRoDVRSx8WsAICIaCO980ZvyyDqbtiGYPBgWBoWsOCd9rxCeDsj2J+2KI2UjDmydxKmursYDDzyAuLg49OnTB7fffjsAIDU1FZdffjm6d++OwYMH48iRIzanVB3p6ek6vu0HM1A2VTp9chfgU4E3TNIZMRkk3AQcWOnVGBVsWWrce7N2s4FmZvxoj4ueUufPzGCQYu9+b5Ckq+aZ06cb/hKWvYJOqBkImVWf+c/9/RnPAYylNkR9/THU1piOD7QpipOoF/PgJXtDJ2B1yspO930jgrnJxG9I6bfAuz0cMIPNb94R4xcCjEZOPmbu9RYdsJLn1bG2RnbSyek2pyFdX0+XLfNTyXvE2yH+CQZi7ROnTzWV7LOLs1gP3NTf2HoT2d17m5zZfRyz21Quz4XHgaat2Wtf3sKeVqMSSZ13YkwGC7B0UK/H/X7evHlwuVw4fvw4Dh06hDfeeAMAcO+992LWrFk4fvw4nnjiCcycOdOg1FpDvVZXIsfMQDWU6Z5l6hrp0lw2uNl7g2ypdKrkLux8Cf+XjMz8qrNWuszUGTEZSHSMQs4b2PHocwtQmHLxPF+mDoiKZzuQVqDUOZaa8DEiGKTYu9v3ZV01hXpXVoB2+xvOxuWXvZRO8HWcdABgViMqfC4X3Ct9k7UNN3H98eykarbxVsPP318N+zrlOtp2DUrlJlEFZeQSRpI2agLWCFtq6J5VlQMjvcHcFOI3iOp8eT6bX6no3qRY0feRk4+Ve71V5rWevzXEyrqp9X1Gl6XR+eanL6gRG8RQrMyPrMWlG6Z5t0Mb5rOTAYB0EF9On+7fxT771oaB7dkM9veo+Q2u5TVs/SnL1dfHUZKRFW1q/lGgdUNQR5eLPcHLFcTKWuV76uvrxfPklJgMFmPpoH7o0KGavldeXo5PPvkEL774otuFv3379sjPz8eePXvcq/Y333wzsrKykJaWZliazaZHjx7qvmDzYNgDvsHbt4KtRKSU5noHtrKw0qmSu7DzRdIZc9rxI/yZ0bY92d9m64xEx6jVja8Y9w5hcDh3BFnxo5YMR6lzLOUqaEQwSFJXzYayb1aZ7d3hkGq8+fpLOgAwqxEVPvcWXqfHqoabtKMj0klVbePtgJ+/HhNZ/QTYo1OlOtp22TipOiXiUt5zo+BIMCNcep22AqRmYMR1fqXsI0kwNwJb4KHz3Du5wTyjcgKCj1Wyl9MTqzzzNOTVLXer66bi+0TK3IyyNDLf/PTFT2b7Gp9OYK8Lyzz/KIJiR4hsP9zNTgYAQE0FOykgbJ+E+tS0JfubG7QLdZHbGqW1j6MkIyva1JHz2GB3XRu26UxdxUa1jxun+j09evQQz5NQrlYv+NiEIYP6hQsXoq6uzut6fn4+brzxYmCUDz/8UNPzT5w4gdatW+Oll17CoEGDcOWVV2Ljxo3IyspChw4dEBzMBsNxuVyIiYmRjABaXV2NkpISjx+7SUlJUfcFmwfDbjzOVB3NXlN5pioAz8BWFrqtnzjwF7BhAfDrAucMvAHzZtg5Q33LcrbDfsty83VGomOUcjzVwJfY7LqnJ9Kx3o4hqatmQ9kfu2qFp72QisRLGuleeN2szi7/uWUFwJaXG/KVzAZJtKKDTdLRkeik5mzU1u5ZCpe/Mc+wR6SGhAFhHdkjl3zFZVGkjEpa99Vv44Q22bBOrwG2S+1krd5BD6Et8OjXCI/qkozuTYATVt+s2uutIa+q+5NWIDXpJJW/rD3mehmQ9rH46fvHCvlTRUbOQ3LCPO/th4Vp7GQA1x58OoG9zm+f+HrDl9Wv8+Sj31cUmSMnKyatDJwck9R5qaPtrFrwsQlDot8fOXIEQ4YMwWeffYbevXsDAL788ks8+uijuP/++3U/v7a2FqdOnUJ8fDxeeeUV7N+/H+PGjfM4Lo+El19+GQsXLtSdHkcgNhi20s2TH6W15DTw8SagQyJr8HqTPMDewFbBVUXAjvfYf/rcqhBVVphWks6Yxg6bWRGV+ZHOAaBpK3siyRqJWHRiuwf5pJjRMZSK1txQ9nWHD7OfcfairhZoxGsC9Ea615Mnuejd3PfFTlj4YKh4VG2jbQhJJGaxyNX/396bx0dRpfv/n+5O0llIQhZC1g6GmI2EhABeQEYQdVDUKIs4IhJwH5FxZH7jDCLDoCMwKl/R66CAGL3igoKM65UBVxRUciGiRIGAkCDEhAgJIQt0+vz+aKqo3pd091NJP29feUl3V506531OPXVOLafen4vw5p+8364/3i5iD6l8nyy2LMOpX4AP/j8Hcb0b+1qA3ppSN/JRxBYUdC9d65jsi1m5ffVGDKnNDbsVePl64JZ/mx+Fc/s47CXe1N/H5+4iavzRfDdI3deevyVGLTOiB4IxfzUPQHY8f96z22UN9HHQwfacvRXHUV3+vAtYPdb8LvL/qwCuXAqkDO5ePpS428fypK05evzwgt/YHA/M+6ad9u7MlXL2e+nRqLbjXvYVXTgK1Ekrn26nh/T7AoBPaumNN97A3LlzccUVV+CRRx7B5MmTsWzZMmzatAkPPfRQt9M3GAzQarW4+Wbz61eGDBmCCy64AIcPH8axY8fkV0kIIVBbWwuDwWA3nXnz5qG5uVn+q6ur63beuovnt2bSDoZlhs4038pyugF4737zd2dOmTsXrlDBfACZmZnuLWid119+dJ13d55TDjRy27BqPwQzyeamxnbfg6NJ4jbcbv49SGY6lXF2K+O5OraJNToH53Q9muneR7hzBZHyKp07HRB/PG4SqNtoFVecLMogvRbQ+upJd2O4P8plp45yc3PV1xntzm3H1scQqb4i4syfpZO1Dq92+ajz66L+LGLNwU/M/29tAGJSzXeB1H5lvivE0/1XbTOi+xOt1r5nJ2XNzc0NfP/K2facxWxH5ZBmiD9xCDj85flHgbqTD2/wsK3ZHF89vRLtyJVy9nvlo1EfPexxkdTQ9/Y1uenxXs1101vxWSS8+eab8eCDD2LhwoWorKzE5s2bMXiwu2fXnJOYmIjLLrsMmzZtAgD89NNP+Omnn3DxxRejtLQUa9euBQBs2LAB6enpDl/rodfrERMTY/FHjUe3S6lph2w9N+nNC1cBv56b+OzXg+YrZ846Jyp5HvHw4UOKTw52cuu8/rIHeHYE8Eu147w7K59bHVk/Bh6VtJ/De75xv0Pv6ESI9QHwsoXmZ9ZaflbHc66Bxo0Br1uxxlH7raygOyElofa3TATkcRM/405HNhAx3EcnQH1zO7KPY7JyX71yKVA8DUgb5t7g1voY4snJ2gDGf9l7a+P5V3UlFQB3fg7M3mEuf8vR8/sv5QlvT1B5Po999Gxg+1euYoFXMduL/c2jmOSfPpZNrPH0BJQjV9Ls99aPRp0+t/9KJ81coZK+t0/ZsxEaR680VqKSvm8g8MmgvqWlBbfccgtWr16Nbdu24cYbb8SwYcOwZcsWXyQPAHjuuefw+OOPo6ioCNdffz1WrlyJtLQ0rFy5EitXrkROTg6WLl2KiooKn21TVbizQ3bngCOte2y3Z2mklpyfrfOGl1yfeff0aps/DqKtjUjZ+cT5z+/Ntb+TW+d16EzzbU5DZzrOe3euJvoz8PTUgO7oRIj1AbDlZyDnSuAP39p6V3lHzCeM+Ssw4XHzrZqn6r2fFMZR+z1a5ecrxm50tILpKp2MCq8u+OSOCRflUstEo/6IycrYdare/PqqcfPdOzklTTannEHenTz6PP670S5tXtVVa/58+AvbyUTVUt+uCHg+Pdv/w5sPBvZuJlexwNOYrWzL375u/r9w43EDd2OSmgd3jpxIs9+3/HxulvwdwF2fA0nnnq/5ZrV75VDDfBRKfNEva/gBp/sN8WquG9X3fb1EI7rznrlzZGZm4uabb8aiRYsQGhoKAPjyyy8xa9YsXHbZZV5PkOdvWlpaEBsbi+bmZrKr9mfPnpWdOeWTxead0vr5nKQC4NJ55mWOVgGrxgB3fmYebHuCtO6k1cBbd7hO4+guYNVY4M5PzZ+lf6cOMT9z5ChAOfrN0ffdKZM99mwE3r4X4sxpaHTnvHedBcKigOuesXzWyTpP0mdH3zsrh/ScstKTdb6k56kuuMT8PJUQnj1v6Ax32k+AOFu7A6EvXG7pwdEzmu7Wv1Pvu33bhtSK0hVgU2a3Yo0jj9Jzjq4cevOsbWsjsO5m8zO2Gf/l/fPFKsXtGG+NWr14GsOtcadcPor7XrsH/B+TAc/LuXsd8NadwKRVwOAb3c+jL+O/G/V39uxZhH7xuPvb9PVx3l8EMp/u7v+KmHtWH4fQML3tMu7um57S3VigRNmWU0qAAx+Zvw8JB+74DOif1718+Hl/7lascQepLN6Ww926CtQ8Lr7Yl0wmnO3qsvWuLJOK+r7dwd3xqs+eqV+8eLGF2Isvvhi7du2CTqfzxSZ6LW7fHqimW0+VZzvfm2v+A86f+XQWzKmvtjX8AMSk4lTySPMrNO6vBi78LRCT5nrWb+mzo+/t/Sbh6jllf59FVUv7aW3EmbfPzcFgPd+A3Ssgbl6poG5XPQC3Yo3D5xylf7ioB0+vZAXBWXSvbgFXs5fu7Gtul8s3dyh06/b7gFzZ8qCcrY3nJ8n68mnzZ3fz6Kv472b97d2718NtqvCOFLsEKJ+e7P+KmOvwUR9/HQd9edyV2nJ+GXDgYwAa84De2GF+7PFDJwMwZ/mQrgjX7fDr/rx3717/3hUoldHbuORuXfWUu2YAQKu1H+PdmOtGNY/t+RifzH6/fPlyvPbaazbfR0VF4ZlnnvHFJnotWneDn1s7ZHcOOOfWkW91cvKcuXSWMP0i83s4AfO/pQOPL69k+PogOuavwJi/4siPP6JA2slvfsO/s+c6m9VU8uTvWX3VMOg950FvMtl6iLvAdnlfzRDdYzqM3cVeOc//2+1YY43P6sEODmaM9/vs3QHEI+/SVZLOU73Tizv17cP25nWbB/wfkz0pp3QMEedeHdxcZ46dVz8BXPqg6zz6Kv67ub9qtVr3t+nP+OJLAplPL+Nit9o7NdL+VnFuNvfp/zZfnf+lGlg7yfwKVsDzK8nSIPWOT4C00vPf+3h/1iofI/H124uU9Jo3QPimX+ayzauh7xtAfFIqVb4bs4eQlZXlm4S686yQct33/+Q8DeVZwoGXmq9yX/hbYOA431/J8MfzT+c6GzbenXVCuos7Z1aDIfCc82C88ws7Hs4F9soXzAdGX12pVPMzdL7E1d0z8DLWeFwPDg7Ujq5gBMFZdI+8S53Coinq9uLtFSlX9e3jOxS6dXz1Z0z2tJwNPwDpw4HYc2/2iTWYPzfu818e7eGo/krLLdqD2957yqSLgb5zxsu7HHzWn6RAarMz3gX+9OP52+37F5g/z3jH/NnbK8ka//axAube733FAFwE8WG/rEe3eT/Qi0YMPZOampruJ9KdA4607i97AF0YcOa0+f+/VNtPQ3mwGfNX81Xum98wH2x82fH080HUJ97dJQgGLm5xzkPNsWbzZ8nDsFvPB/idL5k7sL649VXNtzD7EmU50y8yz3dxdJfl3TN7NnrX5j2pB2cHakcdsSA4meWVdz93QLuNtx1rV/Xt41veAxrnPcHTcvbLM98V11xr/txca/7cLzdgWQbguP5ON1i0B7e9SycriqeZ3wTgj0ccfHE7caAnGXO1n0gnKn7ZYxFzf/p+h3/yE0gcvWrV0fcuCcydeuY238PvCgzERRAf98tUG+OJ8Mnt97t370Z8fLzN90IIaDQa/Prrr77YTK8kJMQHVdCdW1ildfsagJO1wNj5wKePAn0zgZOHbdNw9Py4O8+V+6JMdZXmPHVzEg+feHeXIBi4uMW58lq4Vz6akHWp+fUsb8wArl3u3m2lzgiCW7sBWJZzx+rz76xOHQL87lW5zCEp+Z6n7e6tfu48YhKkeBZriDuFgZokyRE+vrU0oHHeEzwtZ+OP5n182K3Ay9eb3zRT+QLQqM67JN32Puav5ycyLZpinjBLjbcSq+2WZ+lExVfPmge752Luhf+5GYh4qpfHXA/noQjQIxN6Ywvwv393f1vdjbW+jtWBOob7uF+m2hhPhE9s5Obm4oMPPvBFUkGHwWDofiLdOeBI6ypni5TWlb4PFMog5ahM0izc3XxmySfeGa+wcK8M8C1HgFWfmGe+9cVtpWrriPkLZTmV/5b24XNlNnR0eJ629JygdefBuh5cHqh7+BWMbuB2rFHDs8VuPxPqp/r08QlQ1cZ5b95hrdWa78ABgIi+Kotllu3Bbe8BOeHtg7ZKdWLe1cAttQSYvOZ8zH3nvt530lqJN/NQBOJE856NyN50v/kOK3e31d3n7339/H53BtuenGDwcb9MtTGeCJ9EJL1ej8zMTId/jGMOHjzY/US6c8BxNaN7IK8mK2+TczgLt8b+9x7iE++MV1i4lx5NAM4frLs6zVekukuw3CHh5t0zXrd5d25fdfaISbDMa+AAt7z3pEdFelB9djvO+3M2a0/Qau17V0Mss5Mvh97t+vTjCb8e1Fbt4uqtMFcssoi5Pw5+sPc+1ufNPBSBemSi4Qe0xBer5x3w3tCdx0Q9ecTFx/2ygwcPqidOqwCfHBF88Kr7oEWvt/NOUcYJvukAsHc6LNxL7121PlivGKHOAU0PxqM27+lB0tEB+Ye3e85g1U+45T3Qz+w6xEV8VdPJBzfaaLfjvFpe76Qm727kK6F+q/3lrX36c9CtVmfdxYkzvV6vjhM9/sDTGBnIuYzG/BUNY5/wcFvd7cv6+GRYD70Iotfr1ROnVYBPamvXrl2+SCYoSU4meG4RUOmZLRdBytMOgJMyknlnbN2rZkDTu/GozVscJD3sPCj3u2Cv21P1MBx8xXWcVcNkmu7EV2/q01/HGjc6cr0mzqt1P3KQr/iuX1yv6+9Bt1qdeYRV7HXhrMe0d2cxwVdvSgnkIFWrte/eemJDX53MUt0dKHSP1/WYNh8g1H0KJgg4fPgwzYbVdmbLVZDypgPgpIxk3hlb92oY0AQBXrX59hOedx6U+12w1+2peui3P+k6zlJfJXE3vnpTn4THmu7HeZXMBaHW/chBvvanTnKwgsKnvwfdUt5El3lAJbrU4cxd7PWJXDjrMf0aZzGhh74pxal7ZZm6ezJLbXegEJ9gMHtXSZxWAerYG4KYiIgI6izQ406Q8nEHgL3TYeNe5Qfr3oJnbf7cwfGNGe53HqSrEW1N57/juu0ZuBtfqevT4oqX645ct+K8mq6GUXt3hIPtR0RG2X5p7XPYbf49UaG8SqocJFI7cwdHfaJ+uU6dcb+GDrfdd7cvq6Y7UPxxgsHDO7v6oF09cVoF8LsAiElMTCTasorObLkz66ZXM2Y6LiOdd8ahe+rXafVy3G7zys63VgeUfwD0z3M9G67UeZ646twXKogt5KgozjrDr2+K8KEDqY0ZRgCfLjF/52QWbK/jPL+i0XtO1SNt//8ASb8/H8ft+Vwxwr7PnjDo9jeO+kQu3grTc/o1zmJCD4mZVjh3ryhTd2Otmt7q44/XBnsyq/+ejTC8d7/ZB8dpAHylnpy6urrAb1RNVyAA924t9PRKhYsyknhXKwGeX8Gh+0DfpqvKeSX8h1ttXnnmveB68yt6XrzK/L27V9K2PW3+vxpiCyVqi7PO8NeVYH85eKPcratDXsd5NV0N62mcqkf4V8st4yqpzx44SPTycYse0a9xFhN6Usy0wqF76zIp72RT4m6sVdNdO756LMjbvljDDziV0MPfOuBjeFBPTJ8+fQK7QbU9jwN0P0hZBwQ3yhhw72omwINp1bhX27wSfsYt78rO99SX7B8kHe2XBz8x/7+5Tj2xhQpFDDo94LfB6cIvx5pzA7NU9zpyXscatT7D3lOh8tlTB4le9olUc2x1hLOYoMa+qQfYdd/Dy+QSX51g8HZi3jF/xYkrnuI4rYBvvycmJiYmsBv0x+0y1FjfruNGGQPunZFx7L4HXlHpQbjV5r29ta+1Efhmtfnf8QOBqx43/7unxxZvUcSgzjM6RIV1BZ8LXx9rlAM0Y+f57520Ua/jvJquhvU47MRxCp9B+AiF6vs1zmICRI/um9p13xv72/6k/YRbj1XJaLX2vQdxnOZBPTFHjx5FfHx84Daopudx/IUbZQy4d1UT2MG0XffWV1RcBXOfEFwnEdxq8950vqXOM2Dbee5tscVdFDHo6PffI76wMPhc+PJY484AzU4b5TgfYEjiuAOCcECl+vbuKib04L6pXffB0N/2CYqJeXWhHp2EU32bDzC94nTG/v37MWrUKOTk5GD48OHYs2cPdZbcJuBnVnvlFQirwZkbZVT9Ge1AQXB7oo17ilvUeuptmd3Ab21e6jzP/sb+7dA9OrZ4iaNYE0wufHms8fKZbI7zAUT5yMkF4+lvNQ7CRyhU396dxQRfP4YZYDy6YhxMxwFX2JuYl2O81/SKK/V33XUX7rzzTsycORPr16/HzJkzsWPHDupsuUVkZCR1Fno2Xl4ZYO8guz3Rxn2gr6gE4W2ZgB/bPF+NcArHGh/gZRtj9wFEEcfbOzSIChe0V8aDcEAV1O3dk1nT/UBQu/cWZV+s4Hrg0FbzxLxSX4xjvMf0+OjW0NCAyspKTJ8+HQAwefJk1NXVoaamhjhn7lFfHxyTdPmFblzhZe8gm5HYxn2gr6gE6czWfmvzQdh59gSONT7AyzbG7gOIIo7X19cHxZVxtcHtnQ527wXdmZj3HOzdkh5/pb6urg4pKSkICTEXRaPRwGAwoLa2FtnZ2RbLdnZ2orPz/AQ7LS0tAc2rPeLi4qiz0HPpxhVe9g6yK6w27gM9KAzSK8vc5mlg73Sw+wCiiKkW3vnkXsAI7vZOO0dOcLv3Eh/0xdi7JT1+UO8JS5YswaJFi6izYUFoaCh1Fnou3QgI7B1kV1jJ3QfplWVy70EKe6eD3dPA3mkIWu8qmKAxaN13Bx/0xdi7JT2+F5uRkYFjx47BaDQCAIQQqK2thcFgsFl23rx5aG5ulv/q6uoCnV0bGhoaqLPQc+lGQGDvdLB7Gtg7DeydDnZPA3unISi9q+Rd8EHpXgWwd0t6/KA+KSkJpaWlWLt2LQBgw4YNSE9Pt7n1HgD0ej1iYmIs/qhJSEigzkJQwt7pYPc0sHca2Dsd7J4G9k5DUHpXyRw5QeleBbB3S3rF7fcrV67EzJkzsXjxYsTExKCiooI6SwzDMAzDMAzD+IsgnSOHYezRKwb1ubm52L59u8frCWGeUINywrzDhw8jKiqKbPvBCnung93TwN5pYO90sHsa2DsN7J0Odk9DsHiXxqnSuNURvWJQ7y2nTp0CYH4un2EYhmEYhmEYhmHUxqlTpxAbG+vwd41wNezvxZhMJhw9ehTR0dHQaDQB335LSwsyMjJQV1eniuf7gwX2Tge7p4G908De6WD3NLB3Gtg7HeyehmDyLoTAqVOnkJqaCq2TycCD+kq9VqtFeno6dTZUM2lfsMHe6WD3NLB3Gtg7HeyeBvZOA3ung93TECzenV2hl+jxs98zDMMwDMMwDMMwTLDCg3qGYRiGYRiGYRiG6aHwoJ4QvV6PhQsXQq/XU2clqGDvdLB7Gtg7DeydDnZPA3ungb3Twe5pYO+2BPVEeQzDMAzDMAzDMAzTk+Er9QzDMAzDMAzDMAzTQ+FBPcMwDMMwDMMwDMP0UHhQD6CjowPXX389cnJyUFxcjCuuuAI1NTUAgIaGBlx55ZW48MILUVhYiM8//1xeb/HixcjNzYVWq8W///1vizS/+eYbjBgxAkOGDEF+fj4ee+wxh9tva2vDTTfdhOzsbOTk5GD9+vXyb/Pnz0dRURFKSkpQUlKC119/3WE6zpZ1tg0q1Oxd4ocffkBkZCT++Mc/Okzn/fffx9ChQ6HX622W++WXXzBp0iQMHjwY+fn5WL58uUsv/kbN3mfOnIm0tDS5Df/5z3/2Kp39+/fjiiuuQHFxMQYNGoR169Z5qskv9Bb3Dz74IPLy8lBcXIxhw4Zh06ZN8m/c5m1xFWtWrFiB/Px8FBUVobi4GB0dHXbTeeGFF1BUVISQkBAbr/v378ell16KkpIS5OXl4U9/+hNMJpMHlnyPmr1PnDhRbuslJSXQarV455137KZjMpkwZ84cDBw4ENnZ2XjmmWfk3xobG3HttdfK7b28vBzt7e3e6PIpvcX9008/jcLCQhQVFWHw4MFYu3at/Ft7eztmzJiBwsJCFBYWoqysDI2Njd7o8hlq9u5JjHDWr5k9e7ZF/YWHh+Ppp5/20JTvUbt7d/skzuINAGzYsAFFRUVyuz906JAHlnxPb/HuLNYAwGeffYbhw4dj0KBBKCgowPbt2z3RFBgEI9rb28X7778vTCaTEEKI//7v/xZjxowRQggxa9YssXDhQiGEEN98841IS0sTZ86cEUII8fXXX4sDBw6IMWPGiI0bN1qkWVxcLN5++20hhBBNTU2iX79+Ys+ePXa3v2jRIlFeXi6EEOLgwYOiX79+4vjx40IIIU6cOCEvd+TIEREdHS0aGxvtpuNsWWfboELN3oUQ4syZM2L06NFi2rRp4r777nNYjr1794qqqioxf/58m+WmTZsm5s+fL4QQorW1VRQXF4tvvvnGlRq/ombv5eXl4sknn3SrHM7SGTVqlFi9erUQQoiGhgZhMBjEkSNH3ErXn/QW9x988IFoa2sTQghRVVUlYmJiRGtrqxCC27w9nHn/97//LUaNGiVOnjwphDC3V6PRaDedqqoqUV1dLW655RaburruuuvEU089JZe3sLBQvP/+++4J8hNq9q5kx44dIiEhQXR2dtpN56WXXhLjxo0TRqNRNDU1CYPBIL7//nshhBD33XefuP/++4UQQhiNRjF+/Hjxr3/9yz1BfqS3uN+yZYu8b9TW1oqEhARRU1MjhBDiySefFJMnT5bLePvtt4s///nPbtjxH2r27kmMcNavUXLs2DERHh4ujh075tRLIFCze0/6JM7izc6dO0Vubq74+eefhRBCtLS0iNOnT3toyrf0Fu/OYs3PP/8sMjMzRXV1tRBCiI6ODosxl1rgK/UAwsPDMWHCBGg0GgDAiBEj5DNfb7zxBu6++24AwPDhw5GamorPPvsMAHDRRRchKyvLbpoajQYnT54EAJw+fRphYWGIj4+3u+y6devkbVxwwQUYO3YsNm7cCADo27evvFxrayuEEA7PrDpb1tk2qFCzdwB4+OGHccMNN+DCCy90Wg7p7GRISIjNb99++y0mTJgAAIiKisIll1yCl19+2Wl6/kbt3t3FWTpK7/369UNxcbEqrtb3FvdXXXUVIiIiAABFRUUQQshXyLjN2+LM++OPP46FCxciNjYWgLm96nQ6u+kUFxcjPz8fWq3toVuj0aC5uRmA+Qrm2bNnkZKS4tSLv1GzdyVr1qzB9OnTERYW5jCdO+64AzqdDvHx8bjxxhvx2muvyfk5deoUTCYTzpw5g7a2NqSnp7thx7/0FveXXXaZvG9kZGQgOTkZdXV1cn7a2tpw9uxZGI1GtLa2krtXs3dPYoSzfo2Sl156CePHj0dycrLT5QKBmt170idxFm+WLVuGuXPnIjU1FQAQHR2NyMhItx35g97i3VmsWbFiBaZNm4b8/HwA5pn3lWMutcCDejs89dRTuO6669DU1ISzZ89aBKsBAwagtrbWZRoVFRVYsGABDAYDcnJysHjxYodBr7a2FpmZmQ638fTTTyM3NxelpaVYtWoVkpKSHG7X0bKutqEG1OT966+/xvbt2zFnzpxulWno0KF49dVXYTKZ0NjYiE2bNpHfKmWNmrxL+Rk8eDCuueYaVFVVOdyms3SGDh0q3zp18OBBbNu2TXXegZ7r3nr7WVlZcrrc5m1x5r26uhqVlZW4+OKLMWzYMK9vY12+fDnefPNNpKamIjU1FTNmzMCQIUO8SstfqMm7RHt7O1577TXcdtttDrfpLJ0FCxagpqYGycnJSEpKQn5+PsrKylyWI9D0VPdKtmzZghMnTmD48OEAgLvuugvR0dFISkpC//790dzcjHvvvdettAKFmrz7I0a88MILbtdfoFGTe0/6JK6OF7W1tRgzZgyGDBmCBQsWoKury2U5AklP9a7EOtZUV1ejvb0dl19+OUpKSjBnzhycPn3aZTqBhgf1VixevBg1NTVYsmRJt9JZunQplixZgtraWuzZswfz589HdXW1V2n94Q9/wN69e7Ft2zYsXrwYTU1NPllWTajJe1tbG+655x6sXr1aPvPoLcuWLUNrayuGDBmCadOmYezYsS7PfAcSNXkHgEcffRQHDhzA7t27cdttt+Gqq65Ca2urx+m89NJL+Prrr1FSUoL7778fl112maq8A73D/UcffYRFixZh3bp18r7Cbd4zjEYjfvrpJ3z++ef48MMPsXLlSrz33nsep7NixQrcdNNNOHr0KA4fPoxXXnkFmzdv9jgdf6E27xLr169HTk4OioqKvFr/9ddfR0FBAY4dO4ajR49i3759eP75573Ojz/oDe6/++47zJo1C+vWrUNUVBQA4D//+Q9MJhPq6+tx7Ngx9O3bF3/729+8zo+vUZt3X8eIrVu34tSpU/KVUDWhNve+6pMYjUbs2rULH374Ib744gts27YNzz77rMfp+Ive4N1erDEajfj888/x5ptvYseOHThx4gQWLlzoVdn8CQ/qFTzxxBN466238L//+7+IjIxEQkICQkJCUF9fLy9z6NAhGAwGp+kcP34cGzduxLRp0wAAWVlZGDFiBL788ktUV1fLk4vMnj0bAGAwGHD48GGX2yguLkZaWho+/fRTu+k4WtaTbVCgNu8HDhxAbW0tLr30UgwYMADLly/HCy+8gPLycpw8eVJOZ+LEiS7LlpiYiBdffBHffvstNm/eDI1Gg0GDBnmjyeeozTsApKWlybcWT5w4ETExMdi7d6/H6QwYMAAbNmxAVVUV3n77bTQ3N6vGO9Dz3QPmSWNmzZqFd999F7m5ufL33OY9824wGHDTTTdBp9MhMTEREyZMwFdffeUyxlvzr3/9C+Xl5QCApKQkTJgwQY7/1KjRu8SaNWssrjTai/HO0lmxYgVuvvlm6HQ6REdHY8qUKfjkk0+80eQXerp7wHyV7JprrsELL7yA0aNHy9+vWrUKEydORHh4OMLCwnDzzTerxr0avTuKEZ72ayTWrFmD8vJyh48LUaFG9476JJ7GG4PBgMmTJyMiIgJRUVGYNGkSvvrqKx9Y6z493TvgONYYDAZcffXViIuLQ2hoKG666SbVeLeA+Jl+1bBs2TJRWloqfv31V4vvy8vLLSZ5SE1NlSd5kLCe5MFoNIq4uDjx0UcfCSGEaGxsFBkZGWLbtm12t71w4UKbSR6kCe6UE0PU1NSIpKQkeaIGa5wt62wblKjVu/VyziaKcbbc8ePH5Xzv3LlT9O/fXxw9etRlWv5Grd7r6urk5bZv3y4SEhLkiUs8Sae+vl50dXUJIYT48MMPRUZGhjyxGzW9wf1nn30mMjIyxM6dO21+4zZvizPvjz76qDy5V1tbmxg2bJh44403nJbF3qSGRUVFYs2aNUII8wSFQ4cOFa+++qrTdAKBWr0LIcT+/ftFVFSUaG5udlqGiooKm4mrdu/eLYQQ4tprrxULFiwQQpgnV7322mvF4sWLnUsJEL3BfXV1tcjMzBQffvihzW9z5swR5eXlwmQyCZPJJH7/+9+LO++802l6gUCt3r2JEY76P83NzSIqKkrs27fP6fqBRq3uPemTOIs3r7zyirjxxhtFV1eXOHv2rCgrKxOPPfaY+4L8RG/w7izWfPnll2L06NGio6NDCCHE7NmzxT333OPECA08qBfmziwAkZWVJYqLi0VxcbG46KKLhBDmBnHFFVeI7OxsUVBQID7++GN5vUceeUSkpaWJsLAwkZCQINLS0kRDQ4MQQojNmzeL0tJSMXjwYJGfny+WLVvmcPutra1i6tSpIisrS1x44YVi3bp18m9XX321KCgoEMXFxWLo0KFOO3vOlnW2DSrU7F2Jq0H9li1bRFpamoiOjhZ9+vQRaWlp8qydH3zwgcjOzhZ5eXli+PDh4rPPPvNUk89Rs/fLLrtMFBYWiuLiYjFixAiL7XuSzurVq8XAgQNFTk6OGDt2rPjuu++89uVLeov77OxskZSUJJehuLhY7nRwm7fFmff29nYxY8YMkZ+fLwoKCuQBoj0qKipEWlqaiIyMFLGxsSItLU0+sbJz504xatQoMXjwYJGXlyceeOABeTZiKtTsXQgh5s2bJ2bMmOGyHEajUdxzzz3iggsuEFlZWWL58uXybwcPHhS//e1vRWFhocjPzxe33nqraG9v98iTP+gt7i+//HLRt29fi1gjdbqbmprE5MmTRUFBgSgoKBCTJk0iv1ihZu+exAhn/RohhFi5cqW45JJLuuXK16jZvSd9EmfxpqurS/zpT38SeXl5YtCgQeLuu+92+OaIQNFbvDuLNUII8dhjj4n8/HxRWFgobrzxRlXOfq8RQgiquwQYhmEYhmEYhmEYhvEefqaeYRiGYRiGYRiGYXooPKhnGIZhGIZhGIZhmB4KD+oZhmEYhmEYhmEYpofCg3qGYRiGYRiGYRiG6aHwoJ5hGIZhGIZhGIZheig8qGcYhmEYhmEYhmGYHgoP6hmGYRiGYRiGYRimh8KDeoZhGIZhGIZhGIbpofCgnmEYhmEYhmEYhmF6KDyoZxiGYRiGYRiGYZgeCg/qGYZhGIZhGIZhGKaHwoN6hmEYhmEYhmEYhumh8KCeYRiGYRiGYRiGYXooPKhnGIZhGIZhGIZhmB4KD+oZhmEYhmEYhmEYpocSQp0BSkwmE44ePYro6GhoNBrq7DAMwzAMwzAMwzAMAEAIgVOnTiE1NRVarePr8UE9qD969CgyMjKos8EwDMMwDMMwDMMwdqmrq0N6errD30kH9X/4wx/wzjvv4PDhw9i1axdKSkrsLrdmzRosXboUJpMJ48aNw4oVKxAaGuryN1dER0cDMEuKiYnxSZk8pbq6GgUFBW4te7ztODbWbMTE7IlIjEz0c856N5549wZ366q31ak75amurkbSgCSflLu3+fMn/m7zjH3YOx3sngb2fp5AHqPYOx3snoZg8d7S0oKMjAx53OoI0kH9lClT8MADD2D06NEOl/npp5+wYMEC7Ny5E/3798d1112HVatWYfbs2U5/cwfplvuYmBiyQX12drbb2z5y9ghePPAirsq/iiy/vQVPvHuDu3XV2+rUnfJkZ2ejQdPgk3L3Nn/+xN9tnrEPe6eD3dPA3s8TyGMUe6eD3dMQbN5dPSpOOlHeJZdc4vQ2AgBYv349ysrKkJycDI1Gg7vvvhuvvfaay996Cm1tbdRZCErYOx3sngb2TgN7p4Pd08DeaWDvdLB7Gti7Jap/pr62thaZmZny5wEDBqC2ttblb/bo7OxEZ2en/LmlpcUPOfYMT/IgICz+z3iPv+ve3brqbXXqTnlaWlqgidK4XM5X22PMqCHeBSPsnQ52TwN7P08gj1HsnQ52TwN7tySoXmm3ZMkSxMbGyn9qmCQvNTXVreWa2puw9OulAIClXy9FU3uTP7PV63HXuze4W1e9rU7dLU9EQoRPyt3b/Pkbf7Z5xjHsnQ52TwN7NxPoYxR7p4Pd08DeLVH9oN5gMODw4cPy50OHDsFgMLj8zR7z5s1Dc3Oz/FdXV+e/jLuJO2eZNh3ahOvfvh6HWw5j/IDxONxyGNe/fT02HdoUgBz2Tvx1ds/duuptdepJuW/5+JZul7u3+QsEfEabBvZOB7ungb3THKPYOx3sngb2bonqb7+fPHkyRo8ejb///e/o378/nnvuOfzud79z+Zs99Ho99Hp9oLLuFq2trS6XqTlZg+HJwzH/v+YjISIBTe1NePTrR3Hg5IEA5LB34o53b3C3rnpbnXpS7vw++Xjst491q9y9zV8g8FebZ5zD3ulg9zSwd5pjFHung93TwN4t0QghyB5Gveuuu/D++++jvr4eCQkJiI6ORk1NDW6//XaUlZWhrKwMALB69WosXWq+hWns2LF47rnn5NfWOfvNFS0tLYiNjUVzczPZ7InNzc2IjY11uoxJmKDV2N5U4eh7xjXuePcGd+uqt9WpJ+U+1XLKxr2n5e5t/gKBv9o84xz2Tge7p4G90xyj2Dsd7J6GYPHu7niVdFBPjRoG9QcOHMDAgQNJth3MsHc62D0N7J0G9k4Hu6eBvdPA3ulg9zQEi3d3x6t8SYuY9vZ26iwEJeydDnZPA3ungb3Twe5pYO80sHc62D0N7N0SHtQTo3wlHxM42Dsd7J4G9k4De6eD3dPA3mlg73SwexrYuyU8qCemvr6eOgtBCXung93TwN5pYO90sHsa2DsN7J0Odk8De7eEB/XEdHZ2UmchKGHvdLB7Gtg7DeydDnZPA3ungb3Twe5pYO+W8ER5xBPltbW1ITIykmTbwQx7p4Pd08DeaWDvdLB7Gtg7DeydDnZPQ7B454nyegi1tbXUWQhK2Dsd7J4G9k4De6eD3dPA3mlg73SwexrYuyU8qCfGaDRSZyEoYe90sHsa2DsN7J0Odk8De6eBvdPB7mlg75bw7ffEt993dHQgPDycZNvBDHung93TwN5pYO90sHsa2DsN7J0Odk9DsHjn2+97CAcPHqTOQlDC3ulg9zSwdxrYOx3sngb2TgN7p4Pd08DeLeFBPTEmk4k6C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t4Rvvye+/f7s2bMIDQ0l2XYww97pYPc0sHca2Dsd7J4G9k4De6eD3dMQLN759vsewt69e6mzEJSwdzrYPQ3snQb2Tge7p4G908De6WD3NLB3S3hQzzAMwzAMwzAMwzA9FL79nm+/D0rYOx3sngb2TgN7p4Pd08DeaWDvdLB7GoLFO99+30PgW0doYO90sHsa2DsN7J0Odk8De6eBvdPB7mlg75Z0a1B/6tQpVFZWorKyEq2trV6lsX//fowaNQo5OTkYPnw49uzZY7NMRUUFSkpK5L/ExERMmjQJAHDo0CHodDqL3w8cONCdYjEMwzAMwzAMwzBMj8Cr2+9NJhPuv/9+PPvss4iMjIQQAh0dHbjnnnvw//7f/4NGo3E7rXHjxmHGjBmYOXMm1q9fj3/+85/YsWOH03UKCwuxaNEiTJ48GYcOHUJJSQlOnjzpaTH49vsghr3Twe5pYO80sHc62D0N7J0G9k4Hu6chWLz79fb7Z555BpWVlfjuu+9w8uRJNDc3Y/fu3aisrMQzzzzjdjoNDQ2orKzE9OnTAQCTJ09GXV0dampqHK7z9ddfo6GhAWVlZd5kXXXwrSM0sHc62D0N7J0G9k4Hu6eBvdPA3ulg9zSwd0u8GtS/8soreOWVV5Cbmyt/l5ubi5dffhlr1651O526ujqkpKQgJCQEAKDRaGAwGFBbW+twnTVr1uCWW26xODNz+vRpDB8+HKWlpXj44YfR1dVld93Ozk60tLRY/FGj1fK0BhSwdzrYPQ3snQb2Tge7p4G908De6WD3NLB3S7yycfLkSQwYMMDm+wEDBqC5ubm7eXLI6dOn8frrr+O2226Tv0tJScHPP/+MHTt2YMuWLdi6dSuWLVtmd/0lS5YgNjZW/svIyPBbXt0lKyuLOgtBCXung93TwN5pYO90sHsa2DsN7J0Odk8De7fEq0F9nz59HP4WFRXldjoZGRk4duwYjEYjAEAIgdraWhgMBrvLv/nmmxg0aBAKCgrk7/R6PZKSkgAA8fHxuPXWW7F161a768+bNw/Nzc3yX11dndt59RfOHjVg/Ad7p4Pd08DeaWDvdLB7Gtg7DeydDnZPA3u3JMSblerq6jB37lyb74UQOHLkiNvpJCUlobS0FGvXrsXMmTOxYcMGpKenIzs72+7ya9assbhKD5ify4+Li0NoaCg6Ozvx1ltvYciQIXbX1+v10Ov1bucvEEiPHjCBhb3Twe5pYO80sHc62D0N7J0G9k4Hu6eBvVvi1ez3ixYtcvr7woUL3U5r7969mDlzJpqamhATE4OKigoUFRXh9ttvR1lZmTwh3t69ezFs2DAcPXoU0dHR8vpvvfUW/va3v0Gn08FoNGLcuHF44okn3Bq8q2H2+7a2NkRGRpJsO5hh73SwexrYOw3snQ52TwN7p4G908HuaQgW7+6OV70a1PcW1DCo//7771FYWEiy7WCGvdPB7mlg7zSwdzrYPQ3snQb2Tge7pyFYvLs7XvXqvoWnn37a4rNGo0FSUhJ+85vfIDU11Zskgxa1PQ4QLLB3Otg9DeydBvZOB7ungb3TwN7pYPc0sHdLvBrU79q1y+a748ePY86cOVi7di1++9vfdjtjwUJycjJ1FoIS9k4Hu6eBvdPA3ulg9zSwdxrYOx3sngb2bolXg/qKigq73//444+YOXMmD+o94PDhw0Fx64jaYO90sHsa2DsN7J0Odk8De6eBvdPB7mlg75Z49Uo7R+Tl5eHMmTO+TLLXExERQZ2FoIS908HuaWDvNLB3Otg9DeydBvZOB7ungb1b4tNBfUdHB7q6unyZZK8nMTGROgtBCXung93TwN5pYO90sHsa2DsN7J0Odk8De7fEq9vv33nnHZvvmpqa8PLLL2Py5MndzlQwUVdXh9jYWOpsBB3snQ52TwN7p4G908HuaWDvNLB3Otg9DezdEq8G9U8++aTFZ41Gg379+mH69OmYNWuWTzIWLPTp04c6C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t8SrQf0nn3zi8Dej0YiQEK+SDUqcvW+Q8R/snQ52TwN7p4G908HuaWDvNLB3Otg9DezdEp89U19dXY25c+ciLS3NV0kGBUePHqXOQlDC3ulg9zSwdxrYOx3sngb2TgN7p4Pd08DeLenWoL61tRXPP/88RowYgSFDhkCv12PLli2+yltQwGeZaGDvdLB7Gtg7DeydDnZPA3ungb3Twe5pYO+WeDWo//LLL3HrrbciIyMDH374IRYsWICUlBQsWbIERUVFvs5jryYyMpI6C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t8SrQf1vfvMbHDlyBD/88APWr1+Pq6++GlqtT9+OFzTU19dTZyEoYe90sHsa2DsN7J0Odk8De6eBvdPB7mlg75Z4NRJfs2YN2tvbMXz4cMyfPx/79+/3db6Chri4OOosBCXsnQ52TwN7p4G908HuaWDvNLB3Otg9DezdEq8G9bNmzcLWrVuxZcsWGI1GXHLJJaivr8fq1atx4sQJX+exVxMaGkqdhaCEvdPB7mlg7zSwdzrYPQ3snQb2Tge7p4G9W9Kte+Zzc3Pxz3/+E0eOHMGrr76Kd999FxkZGb7KW1DQ0NBAnYWghL3Twe5pYO80sHc62D0N7J0G9k4Hu6eBvVvikwfhdTodrr/+eqxatQrTpk3zaN39+/dj1KhRyMnJwfDhw7Fnzx6bZT799FNERESgpKRE/mtvb5d/X7NmDS688EIMHDgQd9xxB86ePdvtMgWKhIQE6iwEJeydDnZPA3ungb3Twe5pYO80sHc62D0N7N0Srwb1jY2NuPfee3HttdfilVdewZkzZ/DXv/4VOTk56Orq8iitu+66C3feeSf27duHv/zlL5g5c6bd5XJzc1FVVSX/RUREAAB++uknLFiwAFu3bkVNTQ1++eUXrFq1yptiMQzDMAzDMAzDMEyPwqtB/R133IHGxkZcffXVeO211zBu3Dhs2bIFn3/+OdasWeN2Og0NDaisrMT06dMBAJMnT0ZdXR1qamrcTmP9+vUoKytDcnIyNBoN7r77brz22msel4mKpqYm6iwEJeydDnZPA3ungb3Twe5pYO80sHc62D0N7N2SEG9W2rdvH6qrqwGYJ83r168famtr0bdvX4/SqaurQ0pKCkJCzNnQaDQwGAyora1Fdna2xbIHDhxAaWkpdDodZs2ahXvuuQcAUFtbi8zMTHm5AQMGoLa21u72Ojs70dnZKX9uaWnxKL/+ICkpiToLQQl7p4Pd08DeaWDvdLB7Gtg7DeydDnZPA3u3xKtBfXh4uPxvvV6P7Oxsjwf0nlBaWoojR44gNjYWR44cwYQJE5CYmIipU6d6lM6SJUuwaNEiP+XSO3rS8/+9CfZOB7ungb3TwN7pYPc0sHca2Dsd7J4G9m6JV7ffHzlyBHPnzpX/rD+7S0ZGBo4dOwaj0QgAEEKgtrYWBoPBYrmYmBjExsYCANLT03HTTTdh69atAACDwYDDhw/Lyx46dMhmfYl58+ahublZ/qurq/Oo3P6AXwFIA3ung93TwN5pYO90sHsa2DsN7J0Odk8De7fEq0H97NmzERsbK/9Zf3aXpKQklJaWYu3atQCADRs2ID093ebW+2PHjsFkMgEATp06hffeew9DhgwBYH4O/5133kF9fT2EEHjuuefwu9/9zu729Ho9YmJiLP6oSU5Ops5CUMLe6WD3NLB3Gtg7HeyeBvZOA3ung93TwN4t8er2+4ULF/osAytXrsTMmTOxePFixMTEoKKiAgBw++23o6ysDGVlZdiwYQOeffZZhISEwGg04oYbbsCsWbMAAFlZWVi0aBEuvvhiAMDYsWNx1113+Sx//qatrY06C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t8SrQf2dd94pvzbu7bffxnXXXed1BnJzc7F9+3ab759//nn53/feey/uvfdeh2nccccduOOOO7zOAyVqmKwvGGHvdLB7Gtg7DeydDnZPA3ungb3Twe5pYO+WeHX7fWVlpfxvtU0819NITU2lzkJQwt7pYPc0sHca2Dsd7J4G9k4De6eD3dPA3i3xalCvRAjhi3wELXyWiQb2Tge7p4G908De6WD3NLB3Gtg7HeyeBvZuiVe337e3t+O7776DEAIdHR3yvyUGDx7sswz2dlpbW6mzEJSwdzrYPQ3snQb2Tge7p4G908De6WD3NLB3SzTCi0vtAwYMgEajsZ+gRoODBw92O2OBoKWlBbGxsWhubiabCb+5udmjNwYwvoG908HuaWDvNLB3Otg9DeydBvZOB7unIVi8uzte9epK/aFDh9xarrOzE3q93ptNBA3Hjx8PigapNtg7HeyeBvZOA3ung93TwN5pYO90sHsa2Lsl3X6m3hkjR470Z/K9gvb2duosBCXsnQ52TwN7p4G908HuaWDvNLB3Otg9DezdEr8O6nkSPddkZmZSZyEoYe90sHsa2DsN7J0Odk8De6eBvdPB7mlg75b4dVDv6Ll75jz19fXUWQhK2Dsd7J4G9k4De6eD3dPA3mlg73SwexrYuyV+HdQzruns7KTOQlDC3ulg9zSwdxrYOx3sngb2TgN7p4Pd08DeLeHb74nJysqizkJQwt7pYPc0sHca2Dsd7J4G9k4De6eD3dPA3i3x66B+xIgR/ky+V1BbW0udhaCEvdPB7mlg7zSwdzrYPQ3snQb2Tge7p4G9W+LVoH7RokXo6uqy+b6hoQETJ06UPz/77LPe5yxIMBqN1FkIStg7HeyeBvZOA3ung93TwN5pYO90sHsa2LslXg3q9+zZg4suugh79uyRv3v11VdRXFyMoUOH+ixzwUB2djZ1FoIS9k4Hu6eBvdPA3ulg9zSwdxrYOx3sngb2bolXg/o33ngDc+fOxRVXXIFHHnkEkydPxrJly7Bp0yY89NBDvs5jr+bgwYPUWQhK2Dsd7J4G9k4De6eD3dPA3mlg73SwexrYuyUh3q54880348SJE/jDH/6AjIwM7Nq1C/Hx8b7MW1BgMpmosxCUsHc62D0N7J0G9k4Hu6eBvdPA3ulg9zSwd0u8ulLf0tKCW265BatXr8a2bdtw4403YtiwYdiyZYvHae3fvx+jRo1CTk4Ohg8fbnFLv8THH3+Miy66CAUFBRg0aBAeeOABuSIPHToEnU6HkpIS+e/AgQPeFIuE3Nxc6iwEJeydDnZPA3ungb3Twe5pYO80sHc62D0N7N0Srwb1RUVFyMjIQGVlJUaMGIHHHnsML7/8Mu655x78/ve/9yitu+66C3feeSf27duHv/zlL5g5c6bNMnFxcXj99ddRXV2N//u//8O2bdvwP//zP/Lv0dHRqKqqkv8GDhzoTbFI2Lt3L3UWghL2Tge7p4G908De6WD3NLB3Gtg7HeyeBvZuidfP1C9evBihoaHydxdffDF27doFnU7ndjoNDQ2orKzE9OnTAQCTJ09GXV0dampqLJYbMmSI/C7C8PBwlJSU4NChQ95knWEYhmEYhmEYhmF6DV4N6pcvX273+6ioKDzzzDNup1NXV4eUlBSEhJgf7ddoNDAYDE7fO1hfX4/169fjmmuukb87ffo0hg8fjtLSUjz88MN2X7cHAJ2dnWhpabH4o4ZvHaGBvdPB7mlg7zSwdzrYPQ3snQb2Tge7p4G9W+LVoJ7qdoeWlhZce+21eOCBBzBs2DAAQEpKCn7++Wfs2LEDW7ZswdatW7Fs2TK76y9ZsgSxsbHyX0ZGRiCzbxe+dYQG9k4Hu6eBvdPA3ulg9zSwdxrYOx3sngb2bolXg3pfkZGRgWPHjsFoNAIAhBCora2FwWCwWfbUqVO48sorcd1112Hu3Lny93q9HklJSQCA+Ph43Hrrrdi6davd7c2bNw/Nzc3yX11dnR9KxTAMwzAMwzAMwzCBwatX2u3evdvu6+uEENBoNPj111/dSicpKQmlpaVYu3YtZs6ciQ0bNiA9PR3Z2dkWy7W2tuLKK6/ElVdeiYceesjit4aGBsTFxSE0NBSdnZ146623MGTIELvb0+v10Ov1bpYyMPCtIzSwdzrYPQ3snQb2Tge7p4G908De6WD3NLB3S7y6Up+bm4tdu3bZ/FVVVWHXrl0epbVy5UqsXLkSOTk5WLp0KSoqKgAAt99+O9555x0AwFNPPYVvvvkGb731lvzaukcffRQA8MUXX2DIkCEoLi5GaWkpkpOTMX/+fG+KRQLfOkIDe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t8SrK/V6vR6ZmZk+yUBubi62b99u8/3zzz8v/3v+/PkOB+qTJk3CpEmTfJIXCrRa0icgghb2Tge7p4G908De6WD3NLB3Gtg7HeyeBvZuiVc2hBC+zkfQIr2qjwks7J0Odk8De6eBvdPB7mlg7zSwdzrYPQ3s3RKvBvWe3mLPOKampoY6C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t4TvWyAmJMSrJyCYbsLe6WD3NLB3Gtg7HeyeBvZOA3ung93TwN4t4UE9MfZe38f4H/ZOB7ungb3TwN7pYPc0sHca2Dsd7J4G9m4JD+qJOXjwIHUWghL2Tge7p4G908De6WD3NLB3Gtg7HeyeBvZuCQ/qidHr9dRZCErYOx3sngb2TgN7p4Pd08DeaWDvdLB7Gti7JTyoJyY5OZk6C0EJe6eD3dPA3mlg73SwexrYOw3snQ52TwN7t4QH9cQcPnyYOgtBCXung93TwN5pYO90sHsa2DsN7J0Odk8De7eEB/XEREREUGchKGHvdLB7Gtg7DeydDnZPA3ungb3Twe5pYO+W8KCemMTEROosBCXsnQ52TwN7p4G908HuaWDvNLB3Otg9DezdEh7UE1NXV0edhaCEvdPB7mlg7zSwdzrYPQ3snQb2Tge7p4G9W8KDemL69OlDnYWghL3Twe5pYO80sHc62D0N7J0G9k4Hu6eBvVvCg3piYmJiqLMQlLB3Otg9DeydBvZOB7ungb3TwN7pYPc0sHdLeFBPzNGjR6mzEJSwdzrYPQ3snQb2Tge7p4G908De6WD3NLB3S3hQTwyfZaKBvdPB7mlg7zSwdzrYPQ3snQb2Tge7p4G9WxJCnYH9+/ejvLwcx48fR2xsLF588UUMGjTIZrk1a9Zg6dKlMJlMGDduHFasWIHQ0FCXv6mdyMhIt5b7selHPPLVI0iKSEJDewPuLbkX/zn8H1Q1VkEDDUr6lWBq7lR8XPcxbsi5Af0i+wEAGtsa8ea+N3FDzg0AgDf3vYkh/YbgyZ1PQgMNFo1ahLyEPHm5If2GYNV3qzA1ZyrW/rAWuXG5+H3J79Evsp+8zLiMcXj34LsAgGuzrsVz3z6H7ce24+8j/46rsq6y2a6UFyWNbY14cc+LAIDRqaOx6rtVuLPoTuxq3CWv82PTj/jbtr9Z5PPHph/xzx3/tFhWKte4jHFy+QFgRdUK7DuxDwtGLJDL+OKeF9F2tg0dHR0IPxJuroPQSMwcNNOuMykfj3z1iOxCSntP0x4MjB2I+Ih4zBw0E03tTRbLWadn7U2ZV2l7Te1N+OeOf+Ivw/+CvIQ8G2fKcirLq6wf5WfJsVS+7T9vx0NfPoSLki/C3GFz5fI52qa97dtrX9burfOh/NyubceKqhU2bfKxysdwvO04+kX2w+LRiy3apaO0pLoxRBsQHhIu51WqUwBYVrkMO+p34B8X/wMj00Y6LI89X+6WueZEjVOvCREJcnu8t+Re7GrcZdEelO3PUd6U+7GUz8KEQjxR+QRy43JxvOM4BsYOtPCgdHH07FEs/HChTT0rY8vPp3/GwNiBaDe2o6qxCkP6DUHf8L5oN7bjYPNBFCYUWrRt6/axrHIZth3dhsSIRIs6VHq1bh8AbNqlvWWUMeqZqmeQG5crxzzlqm5lhgAAKWdJREFUPmHt1F692vPsbJuetBHrfGZGZOL+xPvtOrP2J8UnZft1FkeVeXTWnuyV1zqmf1z3sZxn6TgjxU57rhw5VZalqb3Jot1I5ZGOM45izvaft2Ph9oVYNHKRw3225kSNzTLSMaPD2IGIkAjcX3A/DDDYdbVu7zrsadqDwoRCu8dOZXrKY5B1GQHzMUxqk/b2D+WyUuy3Ph7Yqzvr+tr+83bM+2Ie4sPj5f1LyqcyhtuL8/bSs17P1XFbSkM6/kn1qox/5YPK8d6R9zDIOAhPVD6BwYmDkRqdimuzrsW6vetQ+UslWjpbMCp1FOYOm2tz3FS2LUdeHB2Tlcd7R/XnSZmd+UqISHC6nquYZ8+r9X4cp4/DM7ueQVp0GpaNWSZv01G8i4yMdBrvHG3TnfinrKepuVOxbu86+Xj2xdEvbLYntRPrZazr1Hq7kuOpOVPxxr43cHHqxVjz/Rr8bcTfcFXWVQ77QRfEXCC3t77hfQGYj33WfS1Xbtypc2W8lOJYYmSi3bYlxcG6U3WYnj8da39Yi9iwWHzf9L18nEyISLDpD9s7Tiv7vvaOg8q+r7J/qnTgqo+p3PekOlb2oa3biHXMtR5TuBoDNLU3Ye+JvQjThmHmoJlY+8NaGKINcr7fPfgu2s62yfU5c9BMOfbfX3o/Pj/0Oap2VOF423GMTh+NB//rQZtjvPK4ai/+utpPehLkg/q77roLd955J2bOnIn169dj5syZ2LFjh8UyP/30ExYsWICdO3eif//+uO6667Bq1SrMnj3b6W89gfr6erdeyVDTXIPdx3fLn3c37cb6/evlz/tP7kdpcime/fZZjM0Yez6wtjfK3wHAs98+i3uH3Isffv1BTjcvIU9e7t4h96Lyl0pk9c3C7uO7sfv4bkzJnWLuAJ5bxhBjwP9U/w8AID8hHx/VfQQAqGyoPD+oV2zX7g7d3iinEaOPQeUvlRiROsJinZrmGpt81jTX2CwrlcsQY7D4TvKjLKO0TWuuzrrarjMpH0oXyrSl/F2ddTUONh+0caZMz9qbdf7HZozFweaDqPylUs6ztTNlOZXlVdaP8rO0Pal8u5t2o6G9Ae/99B5uGXSLXD5H27S3fXvty9q9s3ztO7oPz/5g2yZrTtYAAE6eOWnTLh2lpawbe3UKAO//9D4A8z5jMUBww5e7ZXbl1QST3GZ2N+22aQ/K9ucob0q/0npTc6eiob0BDe0NFu3RnouqI1V269k6tijT2FK3xSKdH379waJtK2lsb5Rdn+g8YXe/k+rE2qm1P3vLKGOUVOdSzFPuE/bq0B3PzrbpSRuxySd2Y3rxdNeDeqv45MiVvfVctSd75bWO6co8SyjbiqM2aG9b1mWR2o1UHuk44yjm7G7ajWOnjzndZ+0tozxmAEDVkSqMGDjCritlDLd37LROzzqv1scwe7Hf3rJS7Lc+HtjzaV1fu5t2o6mjCU0dTRb5sY7h9uKRvfSs13N13JbSULqbkjvFYnsXp1+Ml/a/hKlac2ySYkh+Qr5Fn0XKm/VxE4BLL86OydZeHPUh3CmzM18mmJyu5yrm2fNq3S7+K/m/0IUu1J6qtdimo3hnqjdBm6J1GQfslc9eHpW/K+upNLnU4njmqO3aW8a6Tq23KznO6puFyl8qodPo0Hq2Ve5fOuoHScdC62OWdV/L0xhpr86V8VL6zdhmxKHIQzZtSxkHKxsqLeKrdJw0wWTTH7Z3nFb2fe0dB637vlLbVzpw1cdU1pO9PrR1G7GOue7GEnv9ccmP5EjZViSuzrpajv2VDZV4r+49+bcttVtwx+A7bI7xyjTsxV9X+0lPgvT2+4aGBlRWVmL69OkAgMmTJ6Ourg41NTUWy61fvx5lZWVITk6GRqPB3Xffjddee83lbz2BuLg46iwwTECJjo6mzkJQEhUVRZ0Fhgko3OaZYIL7k3Swe0YNkF6pr6urQ0pKCkJCzNnQaDQwGAyora1Fdna2vFxtbS0yMzPlzwMGDEBtba3L36zp7OxEZ2en/LmlpcWn5fEGdx8TEEI4/az8TuD8b9K/Lb4Ttv+WlxPCdhnYX8bpv+1s1yKvdvLjKC92l7FXVjvfOfveYX6clddJeRwt57Q8VsvZ8+8oHRtfDv7vqizOtml3+07Sderx3P+l/d1Rm/SkbM7y7KgduMqf278p8ujKq7P2bjevbtSpvTI5QkBAq9PaXcfdNBzl1dH3ztqEzb9d7DvKf7sTFyyWd5CeO8t400Y8iRv28uIsH87WczdOOcurs7bhsA3a2Zar71zFHIf5UeTBbp1bLS+1eZv1XcQbe+k5yovNcl6U3eWxw0nbt5emp+k5irf2sFf/zvJiL78O13Xm303fnjpyVmZnvtxZz9m/HW7LSZmd7a8CAqGhoW5vz175HP3bUR07za+j+nKzn+Swb+poOVexxI24ZZG+szq3s+3Q0FCIDvt5tVd25XfuxEan+7iLPq69voqzPqar9L3puznblqu0rNdztwx2P7vR/+rJaISnPTof8n//93+YNm0a9u7dK3930UUXYenSpRg3bpz83Zw5c5Camop58+YBAKqrq3HllVeitrbW6W/W/P3vf8eiRYtsvm9ubiabbOH7779HYWGh02VqTtTg5vdvRltXm9PlInQRaO9qR0m/Eiy/dDkA4I+f/BFVjVUYlDAIGmjwfdP3NuusuHwFntr5FKoaq6CFFiaYLJbJi8vDkt8swaLti1DVWIVIXaSclzCE4QzOyMs+NfYpFCcVy9uV8pIQkSAv09TehNkfzcaepj0AIG9T+n9JvxLcV3of7tl8D9pN7XI+l/5mKR784kGcNp6Wl1WWKyokCqeNpzEoYRA6jZ2oaTbf8REZEol/XfYvPFH5hLxNawoTCvHMZc9YOJPyMXvLbLm82bHmk01S2hLZsdn4ufVntHe1y86eu+I5i/SU3iJDItFmbLPIf25cLupO1aHN2IaokCisnbAW2XHZsjMpHamc0v9L+pVg4ciFcv1Inx/68iG5vIUJhbij6A788dM/ygEsu2825v/XfNz70b1yesptKlFu3177UrqXyuMoX3/56C/Yd3qfwzYJAOG6cDx7+bNyu7SXlnXdWJMXl4cOYwcOnTokt7M149dgWPIwm/LY8/XIxY9YbM9RmQfGDsTB5oMOvUbqIpEUmWSRDxNMFu1Ban8JEQl28yblY1DCIHSZuvDjiR/tltkR2bHZqDtVh05Tp0U9uxtbrL0+d8VzNvv0bZtuw4HmA/J3Uh0q97u8uDyEaEPk9rH80uX4qfkn3LrpVtnfgJgB6BPax2IZpXcNNPKyUsyT6sLa6SMXP2JTr/Y8W7db622620aUdaXMpz1nSqxjoiNX1usry+CoPdlb1jqvkj9lngFznHplwiuIC4+zcKVsg9bbslcWwNwGw0PC8X3T9/I+YC/mVNZX4rZNt8nHBHv77MDYgfip+SeLZfrq+2Lae9PkYwYA6LV6vH7N68iOy7ZYP0IbYbGc9bEzISIBNSdqLNKL0EXg1atfldNSltFZXVsvK8V+ZX1J21f6tG5/swbNwn2f3ifnOVwXjteuNt+VOP2D6XIMn3fRPCzYtsAiHj3/2+dt0ruv9D6L2P/MZc9YxFtH7e2uzXdh74nzfbaMqAwcOX1E3l64LhwdXR2wJlwbjg6T5fcZfTJwvP24XPbs2GyEaEPktmXPy4mOExYxy/qYLLVZADb1p+xDuCqz9f6i9BWpi4QhxoAfT/xodz1lfXdnP1YSqgnFwL4D8eOJHx3Guxn9Z+ClX16yG++s8ST+5cbloralVq4LvUaPTmG+QKZs+8q2q2wn9mK2PTdKx/b4x6h/YP3+9Xb7QY5Q9rWcxS1rJ87qXNqmMo7dbbgbz9U+Z9G2nPU5JfRaPTKiM+T2ay821pyokfdx6Xd7Tq37vtYOXPUxle1Wub9KfWjrfeVExwmbmGs9pnBnDOAIZVuRGBA9ALWnam3GKRIXxFyAiisr5GO89XbsxV9n+4laaGlpQWxsrMvxKumgvqGhAdnZ2fj1118REhICIQRSUlLwxRdfWFypf/zxx3HgwAE895x5kPTBBx9g8eLF+OKLL5z+Zo29K/UZGRmkg/pjx44hJSXF4e+P7XgML1e/7HZ6Wo0WESER8lkovU4PQ4wBuxt3Oz0bpdVoYRL2dxIJvU4Po8mILtHldDmdRoeYsBhclHIRvjn2DQQEHhrxEMYPGI9Nhzbhb1/+De3GdmigsbtjusqLdcdT2qZJmKDVaC3yZ29ZR4RpwxCiDYFep8dFKRfh09pP0WmyPXA5Q7lciDYEYdowaKBBR1eHjTdlcE6ISMDx9uMAgFh9LFo6zXeRTC+YjuJ+xfjHV//A2a6zOGM6g7Oms3IaodpQaDVanOk6g8jQSIxOG40vjnwhH+RCteY7QZTr2CM5Mhm/tP0ib/OB4Q/Iv206tAn/+Oof0EAj12ln13kvZ0xnYDQZZfcaaDC432DUnKgxB09FvtqMbYjQReDC+AtdtknA3ObGZoyV15XSUtaNp+TH5+PY6WNyeZz5igqNwui00Q7LDDg/y9s3rC9OnjnpND9S240IicDknMl498C7FnmTyp3dNxvfNn7rVZkllG0rLz7P4TP4rtDr9Hh09KPyPv3Xz/8KozA6XD5UGwqTMMn7QHG/YtS21OLUmVMO15OWkbx3mbrcrnOdRmexv0n1ajQZbTxL8REABvcbbLFNKRa400akutJpdXLbcORMiRQT24z2T6xIHpRxVFpPigvK+KJsTw9f/LBcR8p9WMprmC4MJmFyGR/0Oj0iQ8ydWqkN6jQ6aDVa2enDFz8MAE7LokSKlRpo5Jgz+6PZ+PzI5wAsB4fKfVan1cmxMlQb6jLvAHBJ+iXY3bgbZ7vOot3Y7vC4ExESgVBtKAb3Gyznw15alfWVTo9hUl1LPtqN7TbHJntIdReqDbU4Fn10+COn+5cGGvSP7I/6tnq7v2s1WoTrwu0e25Ijk+X1pHhrfdwGzO3twa0P4ozpjN1tdAfr46v1xQXJi06jkz3YOya7e5x2VWYAFvuL0pcypmfGZKKls8ViPam+Q7QhdmOeu/uxI+z1j1zFOykOSCjjgav4F6OPweGWwy6dajVa8xXrc7HeWXsFLOu4uF8xfmz60a34roUWOq3Orf3e3rbsxS17MdJRnVv7t25zyrblLcrYmBefhx9//VH+7Kh9u2r7yt/t9TEdxSnlesp95fTZ005jgaNY4up45wt0Gh2m5U/Dhn0bXG7H3vFSjbg7qCd9pj4pKQmlpaVYu3YtAGDDhg1IT0+3GNAD5mft33nnHdTX10MIgeeeew6/+93vXP5mjV6vR0xMjMWf2qluqkZkSCSiQ6ORGJGI8ZmWDa5PaB+kRKaYAx10iA2LxZQLpyA5KhnJUcnYeN1GjEwdid+k/waxYbHQQos4fRxGpozE1JypCNeFQwMNInQRSIpMQk5cDnQaHfpH9kdiRCIKEgrkjk5eXB4yYzIxMmUkMqMzoYEGAJAUkYTygnIUJxbL+dp43UY8MeYJbLxuI4YnD8eBk+YreDUna5AclYzfpP8GRYlFSIxIREpkCqJColCWVYakyCRE6CLkPG0s24iNZRuh0+gAAIkRibg883JUjK9AZEgkYsNikRmdicyYTLxV9hYyYzKh1+oRpg3D1Jyp+GTqJ0jvkw4NNNBr9TBEG5DeJx16rR4RugikR6Wb14/ORGRopOzsiTFPIC8+DzqNDul90vHJ1E8wNWeqXL7o0GiMTBmJYUnDZA8RugjMKJiBjWUbkRiRiBBNCJKjkjElZ4qFt8xo879j9DHIjM7EJemXIFQbisSIRIxMGYlpedPwVtlb6BfZDz80/YCakzUYnjwcU3KmYGzGWEzNmYqkyCRMzZmKsRljkReXh36R/TDlwil4YswTmJIzBZEhkciMzsTmKZuxecpm6LV6AEBKVAo+nfopKsZXyGWZmjMVm2/YbLFNJdL2lXUqtS8pT5J7qTyjUkdhSs4Um3z1i+yHCekTLNqkRKg2FOMzx6Ovvq/8XV58nsW6UlpS3USHRsMQbUBKlHkfCNGEID0q3SLdsqwyfDr1UwxLGgadRoe6U3UW5bHnKzM6E1EhUfL2HJU5TGc+aROnj0N5QbmN19/l/w7RodHQQIPEiERckn4JUiJToIEG0WHRGJM+BtPzp+OS9EuQHJWM6qZqm7xJ5R6ZOhKGaAMSIxIRFRIl7/MaaBAREmFRZ9L+kx5lbus6jQ7JEckWbavuVJ0cWyJCItA/or9NGlLb1kCD9Kh0pEelI1IXiciQSIt9Wqc1759x+jhUjK/AsKRhcjqxYbHYPGUzpudPR2JEIjKjMzEqdRQ2XrcROq05/8P6D8OnUz9F2cAyeV+VlpG858XnITIkEsP6D0NmdCbS+6QjXBeOUG0oCuILEBkSifQ+6bLTzOhMhGpCLerVnmepLUrtVrlNT9qIVFcJ+gQ5n2PSx+Ca9GuQGJFo4cx6/0qOSoYh2oBL0i/BxrKN5nh0bntSnpRxVLlfKuOLdXtS1pG9dpUXl4exGWNREF8AnUaHUG0owrRhGJ85HokRiYgOjUaoJhSRIZGyK6kNTs+fbuH0wMkDclliwmIQERKBYf2HYWTKSESHRkN37r+okChUjK/A5ZmXY2rOVIuYs//Efuh1elSMr8CO6TtQMb4Cep3eYp+V8jgsaRhuL7odFeMr5Haq0+gQHx6Pp8Y+hfjweGihRag2FPtP7JddxehjEK4LR3x4PAriCxAfHo8IbYR87ByePBz7T+xHiCYE8eHx8jEoPjxeTkt5DIsIiUCcPg6Z0ZmYmjPVoq6VxzupXtL7pCNUE4r0PuZjT2xYLOLD45EZnSkvY30sSgg3X0EK14VjY9lGVIyvQKgmVI6bb5W9hc03bEZiuHnS3T6hfeQ4L51Ytj626XV6OfZPzZkKvU4vx1tH7S0yNBIRIREYmTISG8s2IkwbJnsvTizGsP7n9/uokCgkRiRiYOxAi/beP7K/xXFTAw1mFMzA1JypcgwvSiwyz4Bt5UWn1SFUE4qRKSMtjskaaOTj/ciUkdCe69oq60/qQxQkFLgss/X+ovT1u/zfYWTKSCRGJKJfRD+b9aT6dhTz3NmPle1Z6qMo4+nUnKl2412IJsRuvLOOO8ryuYp/iRGJiAiJQHx4PIoTi+XjWZg2DLFhsYjTxyFSF4mixCK57eq0OiRGJGJqzlQYog2I08chRBMCvVYv16nU/5PcSI4TwxORFJmEcJ35LS7pUelIikyS+wVajdaiHxShi5DbW0RIBKJCoqCBBlpozY6i0hGjj0FsWKzDuGUvRtqr84gQc5woiC+AXqdHWVYZLs+8HInhidBAY9G2dBpzvEuMSEROXI7cJqV67avvK+/Dyv1lWNIwXBB7gRwb607VoV9kP0zNmYrLMy9HTlyOvI9Lx8H48HjodXrotXpooZX7pymRKdDB3E8K04UhMiTSYR9TGadiwmIQqg1FelQ6ZhTMQHqfdOg0Oot9JTI00twHsYq5Ur/BUSxRHiNCNCGI08ehT0gf2YMGGjl2a6Ax9+n6pGNkykjoYN6H+4T0gV6nl9cJ0YRgWNIw6HH+u+qmaovjqhSbpWOact9xtJ/0REiv1APA3r17MXPmTDQ1NSEmJgYVFRUoKirC7bffjrKyMpSVlQEAVq9ejaVLlwIAxo4di+eee05+Ht3Zb85obm5G3759UVdXRzbAr66uRkFBgcPfpSugJmGSz/yahAlGkxEhWvOzyVqNOVhIZw+lz9K/pSvYRpMRJmFCmC7MYnkpvfCQcHl70rrK7UvfSZ87jB2IDI20+M1oMsppKZHyYL2sVCZlfjuMHQjRhsjbkjxI6SjzL6WrLKvRZJSvQEnfSX+SM3vepeWV27ROW7lNKa0zXeazldb1cabrjPydMg1rt9KVdmW5rPOgrEfr/ys9Wp9FVuZFSkeZtuRE2WaUbcs6P8rvrLehLJv1v5X//37P9ygoKLBoLyHaEIsySE4lz/bKrPxsnVdlO7DO45muMxbt01lZXH0neVXmUelVWi9EGyLXsdSGANiUTbmedXmU2+4wdshpKb+X2pwyHcmv1OalvCvTsN7P7NWhvXwpXSv3CSkte3WrTFfpT5muVA7l8tbbtK4/633Veh3l8tb1o6xj6zy62x7s5R0Avt/zPQoHFVrsy0pcpW39vTt5dbQPWtefVD9S3qxjp/KOA2Wstk7TOr+OYqm0D1jnVcqHMg4q6TB2yPusvVhpNBnl75VtcPf3u1FQUCAfN5Tx2zp2Kr+3bpcS1jHTOj5LbpTHDmtf1sct5bHden1n8RsA2s62WZTZ3v4v+VN6t3fMUPqwrkfp39b1KuVL2UbOdJ3B93u+x+DCwXLbUtah0rFyPeU2JQ/uxAvr5aV8mYTJIs7ba8uOyiylp1zXuo6U3yvXU/7uah91tEzb2TbznX6KNhuiDUHrmVbZoXJb0rpSrLHe163LY2/7jvKibIuSQ6melcc+KY/KfqZ1Otb7odKp9XFSai/WsUF6NZmUV+vjmJSO9L3SgbLerd1Yx0h7de7o2H2m6wxq9tYgJy/HYh2pr6GMf5JLpUMpXam9KrcpeXDW91HuT8r9X+lWGbesj/nWx07r9ZXtRtmvkNJR7j/KmOCsL6P0aH1nm7ItKeOesq6lP8m78nup7qzLpWzDyvhibx9VG9Kd5SdPnkRsbKzD5cgH9ZQcOXIEGRkZ1NlgGIZhGIZhGIZhGLvU1dUhPT3d4e9BPag3mUw4evQooqOjodFoAr596cwL5Z0CwQh7p4Pd08DeaWDvdLB7Gtg7DeydDnZPQzB5F0Lg1KlTSE1NhVbr+G4C0lfaUaPVap2e8QgUPeX5/t4Ge6eD3dPA3mlg73SwexrYOw3snQ52T0OweHd2272EOh8eYBiGYRiGYRiGYRjGJTyoZxiGYRiGYRiGYZgeCg/qCdHr9Vi4cCH0er3rhRmfwd7pYPc0sHca2Dsd7J4G9k4De6eD3dPA3m0J6onyGIZhGIZhGIZhGKYnw1fqGYZhGIZhGIZhGKaHwoN6hmEYhmEYhmEYhumh8KCeYRiGYRiGYRiGYXooPKgH0NHRgeuvvx45OTkoLi7GFVdcgZqaGgBAQ0MDrrzySlx44YUoLCzE559/Lq+3ePFi5ObmQqvV4t///rdFmt988w1GjBiBIUOGID8/H4899pjD7be1teGmm25CdnY2cnJysH79evm3+fPno6ioCCUlJSgpKcHrr7/uMB1nyzrbBhVq9i7xww8/IDIyEn/84x8dpvP+++9j6NCh0Ov1Nsv98ssvmDRpEgYPHoz8/HwsX77cpRd/o2bvM2fORFpamtyG//znP3uVzv79+3HFFVeguLgYgwYNwrp16zzV5Bd6i/sHH3wQeXl5KC4uxrBhw7Bp0yb5N27ztriKNStWrEB+fj6KiopQXFyMjo4Ou+m88MILKCoqQkhIiI3X/fv349JLL0VJSQny8vLwpz/9CSaTyQNLvkfN3idOnCi39ZKSEmi1Wrzzzjt20zGZTJgzZw4GDhyI7OxsPPPMM/JvjY2NuPbaa+X2Xl5ejvb2dm90+ZTe4v7pp59GYWEhioqKMHjwYKxdu1b+rb29HTNmzEBhYSEKCwtRVlaGxsZGb3T5DDV79yRGOOvXzJ4926L+wsPD8fTTT3toyveo3b27fRJn8QYANmzYgKKiIrndHzp0yANLvqe3eHcWawDgs88+w/DhwzFo0CAUFBRg+/btnmgKDIIR7e3t4v333xcmk0kIIcR///d/izFjxgghhJg1a5ZYuHChEEKIb775RqSlpYkzZ84IIYT4+uuvxYEDB8SYMWPExo0bLdIsLi4Wb7/9thBCiKamJtGvXz+xZ88eu9tftGiRKC8vF0IIcfDgQdGvXz9x/PhxIYQQJ06ckJc7cuSIiI6OFo2NjXbTcbass21QoWbvQghx5swZMXr0aDFt2jRx3333OSzH3r17RVVVlZg/f77NctOmTRPz588XQgjR2toqiouLxTfffONKjV9Rs/fy8nLx5JNPulUOZ+mMGjVKrF69WgghRENDgzAYDOLIkSNupetPeov7Dz74QLS1tQkhhKiqqhIxMTGitbVVCMFt3h7OvP/73/8Wo0aNEidPnhRCmNur0Wi0m05VVZWorq4Wt9xyi01dXXfddeKpp56Sy1tYWCjef/999wT5CTV7V7Jjxw6RkJAgOjs77abz0ksviXHjxgmj0SiampqEwWAQ33//vRBCiPvuu0/cf//9QgghjEajGD9+vPjXv/7lniA/0lvcb9myRd43amtrRUJCgqipqRFCCPHkk0+KyZMny2W8/fbbxZ///Gc37PgPNXv3JEY469coOXbsmAgPDxfHjh1z6iUQqNm9J30SZ/Fm586dIjc3V/z8889CCCFaWlrE6dOnPTTlW3qLd2ex5ueffxaZmZmiurpaCCFER0eHxZhLLfCVegDh4eGYMGECNBoNAGDEiBHyma833ngDd999NwBg+PDhSE1NxWeffQYAuOiii5CVlWU3TY1Gg5MnTwIATp8+jbCwMMTHx9tddt26dfI2LrjgAowdOxYbN24EAPTt21derrW1FUIIh2dWnS3rbBtUqNk7ADz88MO44YYbcOGFFzoth3R2MiQkxOa3b7/9FhMmTAAAREVF4ZJLLsHLL7/sND1/o3bv7uIsHaX3fv36obi4WBVX63uL+6uuugoREREAgKKiIggh5Ctk3OZtceb98ccfx8KFCxEbGwvA3F51Op3ddIqLi5Gfnw+t1vbQrdFo0NzcDMB8BfPs2bNISUlx6sXfqNm7kjVr1mD69OkICwtzmM4dd9wBnU6H+Ph43HjjjXjttdfk/Jw6dQomkwlnzpxBW1sb0tPT3bDjX3qL+8suu0zeNzIyMpCcnIy6ujo5P21tbTh79iyMRiNaW1vJ3avZuycxwlm/RslLL72E8ePHIzk52elygUDN7j3pkziLN8uWLcPcuXORmpoKAIiOjkZkZKTbjvxBb/HuLNasWLEC06ZNQ35+PgDz6/SUYy61wIN6Ozz11FO47rrr0NTUhLNnz1oEqwEDBqC2ttZlGhUVFViwYAEMBgNycnKwePFih0GvtrYWmZmZDrfx9NNPIzc3F6WlpVi1ahWSkpIcbtfRsq62oQbU5P3rr7/G9u3bMWfOnG6VaejQoXj11VdhMpnQ2NiITZs2kd8qZY2avEv5GTx4MK655hpUVVU53KazdIYOHSrfOnXw4EFs27ZNdd6BnuveevtZWVlyutzmbXHmvbq6GpWVlbj44osxbNgwr29jXb58Od58802kpqYiNTUVM2bMwJAhQ7xKy1+oybtEe3s7XnvtNdx2220Ot+ksnQULFqCmpgbJyclISkpCfn4+ysrKXJYj0PRU90q2bNmCEydOYPjw4QCAu+66C9HR0UhKSkL//v3R3NyMe++91620AoWavPsjRrzwwgtu11+gUZN7T/okro4XtbW1GDNmDIYMGYIFCxagq6vLZTkCSU/1rsQ61lRXV6O9vR2XX345SkpKMGfOHJw+fdplOoGGB/VWLF68GDU1NViyZEm30lm6dCmWLFmC2tpa7NmzB/Pnz0d1dbVXaf3hD3/A3r17sW3bNixevBhNTU0+WVZNqMl7W1sb7rnnHqxevVo+8+gty5YtQ2trK4YMGYJp06Zh7NixLs98BxI1eQeARx99FAcOHMDu3btx22234aqrrkJra6vH6bz00kv4+uuvUVJSgvvvvx+XXXaZqrwDvcP9Rx99hEWLFmHdunXyvsJt3jOMRiN++uknfP755/jwww+xcuVKvPfeex6ns2LFCtx00004evQoDh8+jFdeeQWbN2/2OB1/oTbvEuvXr0dOTg6Kioq8Wv/1119HQUEBjh07hqNHj2Lfvn14/vnnvc6PP+gN7r/77jvMmjUL69atQ1RUFADgP//5D0wmE+rr63Hs2DH07dsXf/vb37zOj69Rm3dfx4itW7fi1KlT8pVQNaE2977qkxiNRuzatQsffvghvvjiC2zbtg3PPvusx+n4i97g3V6sMRqN+Pzzz/Hmm29ix44dOHHiBBYuXOhV2fwJD+oVPPHEE3jrrbfwv//7v4iMjERCQgJCQkJQX18vL3Po0CEYDAan6Rw/fhwbN27EtGnTAABZWVkYMWIEvvzyS1RXV8uTi8yePRsAYDAYcPjwYZfbKC4uRlpaGj799FO76Tha1pNtUKA27wcOHEBtbS0uvfRSDBgwAMuXL8cLL7yA8vJynDx5Uk5n4sSJLsuWmJiIF198Ed9++y02b94MjUaDQYMGeaPJ56jNOwCkpaXJtxZPnDgRMTEx2Lt3r8fpDBgwABs2bEBVVRXefvttNDc3q8Y70PPdA+ZJY2bNmoV3330Xubm58vfc5j3zbjAYcNNNN0Gn0yExMRETJkzAV1995TLGW/Ovf/0L5eXlAICkpCRMmDBBjv/UqNG7xJo1ayyuNNqL8c7SWbFiBW6++WbodDpER0djypQp+OSTT7zR5Bd6unvAfJXsmmuuwQsvvIDRo0fL369atQoTJ05EeHg4wsLCcPPNN6vGvRq9O4oRnvZrJNasWYPy8nKHjwtRoUb3jvoknsYbg8GAyZMnIyIiAlFRUZg0aRK++uorH1jrPj3dO+A41hgMBlx99dWIi4tDaGgobrrpJtV4t4D4mX7VsGzZMlFaWip+/fVXi+/Ly8stJnlITU2VJ3mQsJ7kwWg0iri4OPHRRx8JIYRobGwUGRkZYtu2bXa3vXDhQptJHqQJ7pQTQ9TU1IikpCR5ogZrnC3rbBuUqNW79XLOJopxttzx48flfO/cuVP0799fHD161GVa/kat3uvq6uTltm/fLhISEuSJSzxJp76+XnR1dQkhhPjwww9FRkaGPLEbNb3B/WeffSYyMjLEzp07bX7jNm+LM++PPvqoPLlXW1ubGDZsmHjjjTeclsXepIZFRUVizZo1QgjzBIVDhw4Vr776qtN0AoFavQshxP79+0VUVJRobm52WoaKigqbiat2794thBDi2muvFQsWLBBCmCdXvfbaa8XixYudSwkQvcF9dXW1yMzMFB9++KHNb3PmzBHl5eXCZDIJk8kkfv/734s777zTaXqBQK3evYkRjvo/zc3NIioqSuzbt8/p+oFGre496ZM4izevvPKKuPHGG0VXV5c4e/asKCsrE4899pj7gvxEb/DuLNZ8+eWXYvTo0aKjo0MIIcTs2bPFPffc48QIDTyoF+bOLACRlZUliouLRXFxsbjooouEEOYGccUVV4js7GxRUFAgPv74Y3m9Rx55RKSlpYmwsDCRkJAg0tLSRENDgxBCiM2bN4vS0lIxePBgkZ+fL5YtW+Zw+62trWLq1KkiKytLXHjhhWLdunXyb1dffbUoKCgQxcXFYujQoU47e86WdbYNKtTsXYmrQf2WLVtEWlqaiI6OFn369BFpaWnyrJ0ffPCByM7OFnl5eWL48OHis88+81STz1Gz98suu0wUFhaK4uJiMWLECIvte5LO6tWrxcCBA0VOTo4YO3as+O6777z25Ut6i/vs7GyRlJQkl6G4uFjudHCbt8WZ9/b2djFjxgyRn58vCgoK5AGiPSoqKkRaWpqIjIwUsbGxIi0tTT6xsnPnTjFq1CgxePBgkZeXJx544AF5NmIq1OxdCCHmzZsnZsyY4bIcRqNR3HPPPeKCCy4QWVlZYvny5fJvBw8eFL/97W9FYWGhyM/PF7feeqtob2/3yJM/6C3uL7/8ctG3b1+LWCN1upuamsTkyZNFQUGBKCgoEJMmTSK/WKFm757ECGf9GiGEWLlypbjkkku65crXqNm9J30SZ/Gmq6tL/OlPfxJ5eXli0KBB4u6773b45ohA0Vu8O4s1Qgjx2GOPifz8fFFYWChuvPFGVc5+rxFCCKq7BBiGYRiGYRiGYRiG8R5+pp5hGIZhGIZhGIZheig8qGcYhmEYhmEYhmGYHgoP6hmGYRiGYRiGYRimh8KDeoZhGIZhGIZhGIbpofCgnmEYhmEYhmEYhmF6KDyoZxiGYRiGYRiGYZgeCg/qGYZhGIZhGIZhGKaHwoN6hmEYhmEYhmEYhumh8KCeYRiGYRiGYRiGYXooPKhnGIZhGIZhGIZhmB4KD+oZhmEYhmEYhmEYpofy/wMVDvdgbTUgQAAAAABJRU5ErkJggg==", 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", 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" ] @@ -549,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 9, "id": "5f5a8647-21ec-42c0-9af0-149727037ba6", "metadata": {}, "outputs": [ @@ -656,13 +835,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 10, "id": "90d2cef6-56bf-49d4-8b10-fe44b47df616", "metadata": {}, "outputs": [ { "data": { - "image/png": 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SnQ33jO+Ne4dFIb4jP7gW39GGN2bk4u7xvRmnrP1DNs8G0p0dpD0bSHc2kO7sIO3ZQLo7YuiT+oqKCmRmZmLEiBEIC2vb/nrNmjUurzt27Bjuu+8+pKamYty4cQD4p+6bNm3Cs88+i+uvvx69e/dGaGgo3nvvPb/Z+R4AmpqaWCchICHd2WC1WmS1t1pdv6aD8B6yeTaQ7uwg7dlAurOBdGcHac8G0t0RC8cZt//08uXLZY/PmjXLqCQ4UFVVhejoaFRWVjJ7z+G5c+ccBjgIYyDdfUN51Tm8v6kQ1w1LRkKUvL6kPRtIdzaQ7uwg7dlAurOBdGcHac+GQNFdbX/V0Cf1rDrvZubQoUPo168f62QEHKS7byivrscr3x/AhH5dFDv1pD0bSHc2kO7sIO3ZQLqzgXRnB2nPBtLdEUM79Uqvr1uyZImRyTAVLS0trJMQkJDu7CDt2UC6s4F0ZwdpzwbSnQ2kOztIezaQ7o4Y2qnPzc21/3/u3Dl89NFHGDRokJFJMB3p6emskxCQkO6+QVjM42pRD2nPBtKdDaQ7O0h7NpDubCDd2UHas4F0d8TQ3e9vv/12++e+++7Dd999h7179xqZBNOxb98+1kkISEh3/TlRU4/HPssHADz2WT5O1Mi/P5S0ZwPpzgbSnR2kPRtIdzaQ7uwg7dlAujtiaKdeSlhYGI4dO8YyCQRB6MC6XSWY8OIGHD5xFpcO6IbDJ85iwosbsG5XCeukEQRBEARBEES7xtDd7++99177/83Nzdi6dSu6deuG1atXG5UEB8yw+31jY6NfvYKvvUC668uL3+7HgbJqPHlVJuI72nCiph6PfPwH+nSJxNwJfRzOJe3ZQLqzgXRnB2nPBtKdDaQ7O0h7NgSK7mr7q4Y+qY+OjrZ/EhIScNddd2HFihVGJsF00NQRNpDu+nLP+N54Y0Yu4jvaAADxHW14Y0Yu7h7f2+lc0p4NpDsbSHd2kPZsIN3ZQLqzg7RnA+nuiKEb5T366KNGRkcQhEFYrRZNxwmCIAiCIAiC0AdDn9T//e9/x5kzZ8BxHC699FLEx8fjo48+MjIJpoN2bmQD6c4O0p4NpDsbSHd2kPZsIN3ZQLqzg7RnA+nuiKGd+k8++QQxMTH47rvvEBwcjJ9//hlPPfWUkUkwHTR1hA2kOztIezaQ7mwg3dlB2rOBdGcD6c4O0p4NpLsjhnbqrVY+ug0bNuCaa65Beno6LJbAnp4raEIYC+nODtKeDaQ7G0h3dpD2bCDd2UC6s4O0ZwPp7oiha+o7dOiAZ599Fh988AF+/vlncByHhoYGI5NgOlJTU1knISAh3dlB2rOBdGcD6c4O0p4NpDsbSHd2kPZsIN0dMXSIY9myZSgpKcFzzz2HLl264ODBg5gxY4aRSTAdBQUFrJMQkJDu7CDt2UC6s4F0ZwdpzwbSnQ2kOztIezaQ7o4Y2qlPS0vDyy+/jClTpti/z5s3z/779ddfr3jtXXfdhZSUFFgsFuzcudN+PCUlBenp6cjJyUFOTg5Wrlzps/T7guBgQydLEK2Q7uwg7dlAurOBdGcHac8G0p0NpDs7SHs2kO6OmEqN/Px8xd+mTp2KBx54AKNGjXL6beXKlcjJyfFhynxHcnIy6yQEJKQ7O0h7NpDubCDd2UHas4F0ZwPpzg7Sng2kuyN+s8PA6NGj0aNHD6/CqK+vR1VVlcOHNYcOHWKdhICEdGcHac8G0p0NpDs7SHs2kO5sIN3ZQdqzgXR3xG869a6YOXMmsrKycNNNN6GiokLxvIULFyI6Otr+SUpKMjCV8thsNtZJCEhId3aQ9mwg3dlAurODtGcD6c4G0p0dpD0bSHdH/L5T/+OPP2LXrl3Yvn074uPjMWvWLMVz58+fj8rKSvunqKjIwJTK07VrV9ZJCEhId3aQ9mwg3dlAurODtGcD6c4G0p0dpD0bSHdHTNWpDwoK0nyNsJ4iJCQE99xzD/73v/8pnmuz2RAVFeXwYc3Ro0dZJyEgId3ZQdqzgXRnA+nODtKeDaQ7G0h3dpD2bCDdHTF0o7zCwkKnYzExMfbO9ZYtWzSFd/bsWTQ2NiImJgYAsGLFCgwcONDrdBpJeHg46yQEJKQ7O0h7NpDubCDd2UHas4F0ZwPpzg7Sng2kuyOGdupzc3Nx6tQphISEAAAaGxvRsWNH9OjRA++//77LHeznzJmDdevWobS0FBdffDEiIyPxzTff4Oqrr0ZzczM4jkNqaireeecdg3KjD/Hx8ayTEJCQ7uwg7dlAurOBdGcHac8G0p0NpDs7SHs2kO6OGNqpv+mmm5CRkYFZs2aB4zi89957+OOPP3D++efjjjvuwE8//aR47eLFi2WP79ixw1fJNYSioiJER0ezTkbAQbqzg7RnA+nOBtKdHaQ9G0h3NpDu7CDt2UC6O2Lomvqvv/4aeXl5sFgssFqtmDlzJr777jtceeWVqKysNDIppqFjx46skxCQkO7sIO3ZQLqzgXRnB2nPBtKdDaQ7O0h7NpDujhjaqa+vr8eBAwfs3w8cOIBz584B8GyTvPaAGTbrC0RId3aQ9mwg3dlAurODtGcD6c4G0p0dpD0bSHdHDO3UL1y4ECNGjMD48eMxfvx4jBw5EgsXLkRNTQ2uvfZaI5NiGoqLi1knISAh3dlB2rOBdGcD6c4O0p4NpDsbSHd2kPZsIN0dMXRN/ZVXXokRI0Zg06ZNAIDhw4ejc+fOAPh3yAciNMrEBtKdHaQ9G0h3NpDu7CDt2UC6s4F0ZwdpzwbS3RFDO/UAkJCQgMsvv9zoaE1LREQE6yQEJKQ7O0h7NpDubCDd2UHas4F0ZwPpzg7Sng2kuyOGTr//6quvkJGRgdDQUAQFBcFqtQbsWnqB0tJS1kkISEh3dpD2bCDd2UC6s4O0ZwPpzgbSnR2kPRtId0cMfVJ/11134Z///CdGjBgR8J15gdjYWNZJCEhId3aQ9mwg3dlAurODtGcD6c4G0p0dpD0bSHdHDO3UR0VF4eKLLzYyStMTEhLCOgkBCenODtKeDaQ7G0h3dpD2bCDd2UC6s4O0ZwPp7oih0+8vu+wyfPzxx0ZGaXrKy8tZJyEgId3ZQdqzgXRnA+nODtKeDaR7G+VV5/DSt/tRXnXO93GR7swg7dlAujti6JP6V155BZWVlQgPD4fNZgPHcbBYLDh16pSRyTAVcXFxrJMQkJDu7CDt2UC6s4F0ZwdpzwbSvY3y6nq88v0BTOjXBQlRYT6Ni3RnB2nPBtLdEUM79Tt37jQyOoIgCIIgCIIgCIJo1xg6/b5nz56yn0Dm5MmTrJMQkJDu7CDt2UC6s4F0ZwdpzwbSvQ2Oc/zrS0h3dpD2bCDdHTHkSf20adOwYsUKDBw4EBaLxen37du3G5EMU5KQkMA6CQEJ6c4O0p4NpDsbSHd2kPZsIN15TtTU47HP8gEAj32Wj8XX5yK+o81n8ZHu7CDt2UC6O2JIp/6vf/0rAODll1/2OIy77roLn376KY4ePYodO3YgJycHAHDgwAHMmjULJ06cQHR0NJYtW4b+/fvrkGpjaGxsZJ2EgIR0ZwdpzwbSnQ2kOztIezaQ7sC6XSV4+OPfYbFYcOmAbth48CQmvLgBT12VhUsHdPNJnKQ7O0h7NpDujhgy/T43NxcA0KlTJ4wZM8bpo4apU6fip59+cpquP2fOHMyePRv79+/Hgw8+iLy8PL2T71NOnz7NOgkBCenODtKeDaQ7G0h3dpD2bCDdgX1l1RieGodv5o7Ga9MH4Zu5ozE8NQ77y6p9Fifpzg7Sng2kuyMWjjNipQ/Peeedh06dOuGGG27A9OnTERMTozmMlJQUfPzxx8jJyUF5eTnS0tJw6tQpBAcHg+M4dOvWDT/99BPS0tKcrq2vr0d9fb39e1VVFZKSklBZWYmoqChvsuYxJ06cQHx8PJO4AxnSnR2kPRtIdzaQ7uwg7dlAugMtLRysVuflpkrH9YB0Zwdpz4ZA0b2qqgrR0dFu+6uGbpR38OBB/OMf/8DmzZuRlpaGadOm4dtvv/U4vKKiInTr1g3BwfwqAovFguTkZBQWFsqev3DhQkRHR9s/SUlJHsetF7W1tayTEJCQ7uwg7dlAurOBdGcHac8G0h2KHXdfdegB0p0lpD0bSHdHDO3UA8DYsWOxbNkyHD16FDExMbjkkksMi3v+/PmorKy0f4qKigyLW4mqqirWSQhISHd2kPZsIN3ZQLqzg7RnA+nOBtKdHaQ9G0h3Rwx9Tz0AlJeX491338XSpUvBcRyeffZZj8NKSkpCSUkJmpqa7NPvCwsLkZycLHu+zWaDzea7nUc9ITExkXUSAhLSnR2kPRtIdzaQ7uwg7dlAurOBdGcHac8G0t0RQ5/UX3755cjMzERBQQGWLFmC/Px8+874npCQkIBBgwbhvffeAwB89NFH6NGjh+x6erNCo0xsIN3ZQdqzgXRnA+nODtKeDaQ7G0h3dpD2bCDdHTH0Sf20adPw4YcfIiwsTPO1c+bMwbp161BaWoqLL74YkZGRKCgowOLFi5GXl4cFCxYgKioKS5cu9UHKfUdNTQ3rJAQkpDs7SHs2kO5sIN3ZQdqzgXRnA+nODtKeDaS7I4bufg8AmzdvxnfffQcAmDBhAoYMGWJk9A6o3U3Ql1RWViI6OppJ3IEM6c4O0p4NpDsbSHd2kPZsIN3ZQLqzg7RnQ6Dobsrd7998801MnToV5eXlqKiowNSpU/Hvf//byCSYjhMnTrBOQkBCurODtGcD6c4G0p0dpD0bSHc2kO7sIO3ZQLo7Yuj0+0WLFmHbtm3o3LkzAOBvf/sbxo8fj5tvvtnIZJiKuro61kkISEh3dpD2bCDd2UC6s4O0ZwPpzgbSnR2kPRtId0cMf6Wd0KGX/h+o9OzZk3USAhLSnR2kPRtIdzaQ7uwg7dlAurOBdGcHac8G0t0RQzv1vXv3xkMPPYTCwkIUFhbikUceQe/evY1MgukoLS1lnYSAhHRnB2nPBtKdDaQ7O0h7NpDubCDd2UHas4F0d8TQTv2//vUvHDx4EIMGDcKgQYNQUFCAN954w8gkmI76+nrWSQhISHd2kPZsIN3ZQLqzg7RnA+nOBtKdHUZpX151Di99ux/lVecMic/skM07Yvju92bCDLvf19bWIiIigkncgQzpzg7Sng2kOxtId3aQ9mwg3dlAurPDKO3/OF6Jy/75Ez6/cxQyu7f/Xd/dESg2b8rd7wHgyy+/xKuvvooXX3zR/glkCgsLWSchICHd2UHas4F0ZwPpzg7Sng2kOxtId3aQ9mwg3R0xdPf76667Drt378bAgQMRFBQEALBYLEYmwXQ0NTWxTkJAQrqzg7RnA+nOBtKdHaQ9G0h3NpDu7DBKe2FudeDOsXaEbN4RQ6ffZ2RkID8/396hZ40Zpt+fO3cOYWFhTOIOZEh3dpD2bCDd2UC6s4O0ZwPpzgbSnR1GaH+iph5z3t2GbUdPI7dnLBZfn4v4jjafxml2AsXmTTn9PiUlhTY1kHDo0CHWSQhISHd2kPZsIN3ZQLqzg7RnA+nOBtKdHb7Wft2uEkx4cQMOnziLSwd0w+ETZzHhxQ1Yt6vEp/GaHbJ5Rwydfv/CCy/gwgsvxNixYx1GVv7+978bmQxT0dLSwjoJAQnpzg7Sng2kOxtId3aQ9mwg3dlAurPD19rvK6vG8NQ4PHlVJuI72nCiph6PfPwH9pdV41J082ncZoZs3hFDp99fccUVqKqqwqBBgxym4P/jH/8wKgkOmGH6fWNjI0JCQpjEHciQ7uwg7dlAurOBdGcHac8G0p0NpDs7fK19SwsHq9V5DzKl44FCoNi82v6qoU/q9+3bh3379hkZpenZt28fMjMzWScj4CDd2UHas4F0ZwPpzg7Sng2kOxtId3b4Wnuljnsgd+gBsnkphq6pT09PR1VVlZFREgRBEARBEARBEES7xdDp99deey22bduGiy66yGFNvR7vqk9JSYHNZkN4eDgAYP78+bj22mtdXkPT7wMX0p0dpD0bSHc2kO7sIO3ZQLqzgXRnB2nPhkDR3ZS73/fr1w/XX389unTpgujoaPtHL1auXImdO3di586dbjv0ZoGWI7CBdGcHac8G0p0NpDs7SHs2kO5sIN3ZQdqzgXR3xNA19Y8++qiR0TlRX1/v8Eo9WgpAEARBEARBEARB+DOGTr+XY/v27Rg0aJDX4aSkpCAqKgocx2Ho0KF45pln0LlzZ4dzHnvsMTz++ONO19L0+8CDdGcHac8G0p0NpDs7SHs2kO5sIN3ZQdqzIVB0N+X0ezkeeeQRXcL58ccfsWvXLmzfvh3x8fGYNWuW0znz589HZWWl/VNUVKRL3N5AU0fYQLqzg7RnA+nOBtKdHaQ9G0h3NpDu7CDt2UC6O2Lo9Hs51q1bp0s4ycnJAICQkBDcc8896NOnj9M5NpsNNptNl/j0wmplPq4SkJDu7CDt2UC6s4F0ZwdpzwbSnQ2kOztIezaQ7o60CzXOnj2LM2fO2L+vWLECAwcOZJcgDaSmprJOQkBCurODtGcD6c4G0p0dpD0bSHc2kO7sIO3ZQLo7YkinfuDAgRg0aJDix1vKysowbtw4DBgwAFlZWdiwYQPeeecdHVLuewoKClgnISAh3dlB2rOBdGcD6c4O0p4NpDsbSHd2kPZsIN0dMWT6/csvv+zT8FNTU7Fjxw6fxuErgoOZr4AISEh3dpD2bCDd2UC6s4O0ZwPpzgbSnR2kPRtId0eY737PErW7CfqS2tpaREREMIk7kCHd2UHas4F0ZwPpzg7Sng2kOxtId3aQ9mwIFN1Nuft9XV0dnnvuOUyfPh1TpkyxfwKZQ4cOsU5CQEK6s4O0ZwPpzgbSnR2kPRtIdzaQ7uwg7dlAujtiaKf+lltuwZEjR/DLL79g3LhxOHr0KHr27GlkEkyH2XbjDxRId3aQ9mwg3dlAurODtGcD6c4G0p0dpD0bSHdHDO3U//bbb3j99dcRFRWFO++8Ez/88AO2bdtmZBJMR9euXVknISAh3dlB2rOBdGcD6c4O0p4NpDsbSHd2kPZsIN0dMbRTHx4eDoDf2ODs2bOIjIxERUWFkUkwHUePHmWdhICEdGcHac8G0p0NpDs7SHs2kO5sIN3ZQdqzgXR3xNBtAzt16oTTp09j0qRJuPjiixEfH48ePXoYmQTTIQx0EMZCurODtGcD6c4G0p0dpD0bSHc2kO7sIO3ZQLo7Yminft26dQgKCsKTTz6J999/H2fOnMHMmTONTILpiI+PZ52EgIR0ZwdpzwbSnQ2kOztIezaQ7mwg3dlB2rOBdHfE0On3QUFBAACLxYIZM2bgjjvuYPYqObNQVFTEOgkBCenODtKeDaQ7G0h3dpD2bCDd2UC6s4O0ZwPp7oihnfrt27fjkksuQZ8+fZCammr/BDIdO3ZknYSAo7zqHD7cU4vdxZV46dv9KK86xyQNcnErHW9P1FtsuuVRqld51Tk89fluPPX5bs3htyft5fKi1te0Jx3cYUReycezw532gWTrRuJKd6M19/d7rCX97dHX+Mv9a4/a+wNqdJdrF/qLXWnF0E79rFmzMHnyZKxevRqfffaZ/RPIBPpMBRaUV9dj+bYK7C+rwSvfH0B5dT2TNMjFrXS8PXHOYtMtj1K9yqvr8e+fDuPfPx3WHH570l4uL2p9TXvSwR1G5JV8PDvcaR9Itm4krnQ3WnN/v8da0t8efY2/3L/2qL0/oEZ3uXahv9iVVgxdUx8UFIQ5c+YYGaXpKS4uRqdOnVgngyAMI9DfeMEK8jVsIN3ZQdqzgXRnA+nODtKeDaS7I4Y+qT///POxdetWI6M0PTS6ZzwcJ/+XZRrcHW9PdOjAT5fSI4+u7qXW8NuT9nJ5Uetr2pMO7jAir+Tj2eFO+0CydSNxpbvRmvv7PdaS/vboa/zl/rVH7f0BNbrLtQv9xa60YuE447KUlZWFffv2IS0tDWFhYfbj27dvNyoJDlRVVSE6OhqVlZXMCuSJEydU7d64u7gSD6zehbqGJoSHBmPexAx88XsJth09DQDI7RmLGcN74uv8Mlw3LBkJUby+5VXn8P6mQlw3LBkA8P6mQgxJicUzX+4FADw3dQD6JUbbzxuSEot//rcAM4YnY8lPR9C3WyTuubAPEqLC7Odc3L8L1mw/DgCYMqg7/vn9Afx44ASeuToLl2d3d4pXSIuY8qpzePPHQwCAsemd8c//FuDOC9Kw5chp+zVCnsXp3F1cicc/2+1wrpCvi/t3secfAF7+bj/2lFTj6cmZ9jy+8t0BfLunDOXV9QgJsqCxmUO36DAszRuCjG5RsmnfXVyJh9b+YddCCHvXsUr0TuiIuI42zB6dihM19fbzxPdCnL4124+jrqEZvxdXYtexSgzoHo2sHlEIDwnG1NweeGD1Luw6zh9fcsMQxHe0OWgmzqc4v+L7I/4uaDx7dCoSosLw04EK/PXD3zDivDjMn9jXnr/HP9uNRy/vh36J0Yo2KHdPpWkS51cuXVarBTcu+RW7imuQ2zMWT1+ViS//KMWQlFg8+flulFWdQ9foMLz45xwHu1QK6/q3N2FPSTU6RYRgeGocNh8+hRNnGwAAA3pE47mrB2DxhoPYeOgknr8mG6N6d5bNj9VqwZx3t2Hb0dMO9qA2z/vLql3qGt/RZrfH+y7qgy1HTjuUI+H+KGktLcfCfc1OisbT6/agb7dIVFQ3oHdCR1gswE8FJ1FeXY+ESBsm9OuCu8f3xoGiMrz6U7HTfRbsu2uUDYdPnMWJsw04UdOAYCvwp96d0S06DHUNzThQXoMBPaLt/kDOPhZ+sQcb9lcgIcrmcA/Fdii1DwBOdil3jthHvfDNfodyJi4TUk3lygEAnKipt99zsS0q+U+lsJTulZDOXrEhmHfZAFnNpPq9+eMh1DY0ISI0WFErueukfllqT+7sStBPSHPXKBtKq+rtvlN6rdgG5eIS8nKypt7BboT8CPWMks/56UAFHvxoF569eoBimd1fVu10jrSenD8+Gef37ymr1b//dwhf55fhbEMzBnSPxrDUTrjlT455kauDpHkE+DpMsEm58iE+d8qg7k62OmVQd9l7J71fPx2owNyVOxHXMdRevoR0in24nJ+XC096nbt6WwhDqP+E+yr2f7f8KRVrtxzGgJTOeHrdHgxMjkH3mAhMGdQd//7fIXz5eynqmloQ3zEU7900DC0c51S/irWS00WpThbX9wDwS0EFbnlnG3+Pe0RjSd4QlFedU51nV3rFd7S5vM6dz5PTVVqOw0IsWLSeD2dA92g8N3UAvvyjVNHfWRtq0BLa0WXZVMqfXBrFv0vbN+/9etRen/2wr8IpPsFOpOdI76k0XkHjGcOTsfTnI6iorkfR6TqkJXTAB7NHoKWFk20HpSV0sNtbbEQoACAiNNhe3tT4LbX3XOwvBT+WENqI8oYQJ9sS/OCRk7W4cVQKlvx0BDHhwfjtWKW9nozvaHNqD8vV0+KwxWVA2t6Utk/FGpyoqVds70n9lHCPxW1oqY1Ifa60T+GuD3Cyph67S6oQEmTFnDGpWPLTEaTERdjTvWb7cdQ2NNnv5+zRqXbfP29iBtbnH8e2YzUorzqHsRkJePyKTIf49pZUYeaSzfZp9n27RSI3ORa7jvNtcGn736yo7a8aOv1+0aJFPgn3wIEDmDVrFk6cOIHo6GgsW7YM/fv390lcelNaWqqqU7+/rAZ/FFfZv+8oPIP/bG7b9XFfWQ2G9orDK98fwIR+Xdoca+u6kQn9ugAAXvn+AO6b0Mce1v6yGr4Atp5334Q+2HT4FHondMSOojPYUXQG04f15BuAref0iu+Af/90GACQ2T0aX+aXAQA2HTrV1qkXxStboFvXuABAdHgINh0+hVGFZxyuEedZSOf+shqnc4V89Yrv4HBM0Ee4ds3243h/cyEAwGoBGps5BFmAkspzuGbxRjwzZQAuHdDNKe37y2octBCHLaTvqoHdUVDedp74XojTJ+Q5KiwYlw7ohv/tr8Cu45UAgFVb2+7nkZNnMeHFDXjqqixcOqCbg6ZCPsX5Fd8f8XchvqsGdkdCVBh2FJ5BaVU91u4oxk2jUu3523T4lF0nJeTuqTRN4vxK0xUeEoTFPx5Ec3MzLh3QDRsPnsQ1izei+lwT7pvQB/vKagAAZ+pqnOxSKayG5hYAwKnaRnzxRykAINhqgdViwe/HKnHV6z/jXCN/zo7CM44dBElYFosFo9Li8VPBCbs99IyLUJVnd7q2cG02s6PVdsX2INwfJa2l5Vi4bsawZJRW1aO0qt7BHgFgYI8Y7Dh2Bu9vKkSP2Ag0VVXI3mfBvsX0jA3H0dN1WL/PcanEH8VVdn8gZx9rdxbb74f4HorzKbUPQROxfnLniH2UtJyJy4RUU7lysG5XCR7++HdYLBYnW1Tyn0phKd2rtnQCN46pd9+pF4XtSiu569zZk/RcaVoF/YQ0C4htRckG5eKS5kWwGyE/Qj2j5HN2FJ7B8TPnFMusUOak50jrye0HSxw79a3XV9Y1Ys0O3lZzkmJwqKIGu45XolMHG24de55D/qV1kFweo8NDnOpLJT0yu0fL1qNyekrv147CM6ioaUBFTYNDeqQ+XM4fyYUnvc5dvS2EIa7/pg/r6RDfmD4JeGvjccxoCUJpVT2+/INvHzS1cHbNAeBETQOuWbwRUwb2cKpf3eniqk4W8rJuVwkeWP0bzjY0AwCOnODr1Cuyu6vOsyu9WjjlsqnG58npKrWLYKvF/vuRk2ftPkrJ3+F0KRCb5NYPyOVPLo3i36XtG3F9pmS7cudI76k0XkHj0CArtheeQUgQr8GxU3WY8OIGzB59nmw7SKgLBXsTEMqbGr8lzbPSPRf7S/tvIadR0BjrZFtiP7jp0CkH/yrUky0cnNrDcvW0+Li4DEjbm9L2qViDgnLl9p7UT0nLlFxZkfpctb5Eqo1YH0Ejsa0IXDWwu933bzp0Cmt2tbVRvvyjDLeP622Pb92uEvz1w52oa2yxtwv3lFRjT0k1wkOCnNp7QlvbnzF0+v2YMWNkP94yZ84czJ49G/v378eDDz6IvLw87xNrELGxsayTEDAcPXnW/n9653AAQP/uvFPL6h6N/WXVhqXl9esG4bXpg/D6dYPsxzK7R9u/v37dIAxPjTM0Tb7m6MmzGJ4ah//M6IvXpg/CN3NHI6u78iCCmrDmXZLh9NuyG4bgl/kXYFxGZ8R3sMlcLR/WN3NHY95EPjyj7cEXzDo/xf5/4cmz6Nihg+pr/9Sns/uT/Jh9ZdX2e+6tLRLmRcnmSyrr7P/njUyx+91CUR1B6ItYc4Gs7tEolTmuB/vKqpGW0LYztlCn+io+XxAVHmL///XrBrn1Ue2pPXmmjp9xN7o3/9DrhvNTMDw1zrRltD1p317YV1aNuNbZrkK7MDGa/35J/y7tqr0nYEin/r777gMATJ48GVOmTHH6eEN5eTm2bt2KGTNmAACuvvpqFBUVoaCgwOnc+vp6VFVVOXxYExIS4v4kKK+9ljumtH7E3e9qwlD6zd01Smn1Ng1y+RIfEx//y9Bk+7FrB3UFANwwshcAYP7Evrh7fG9V6VDSXovu0eGhDn+FNIiPvzEj154mdxqoSbe7Y+4W4qgNQyncvwxNxhszcpEQHQEAiO9os0+1dre3gFJYHW3O5Sc6PBTxHW1YkjcUr4kGTZTiEMKK72izHxPsQWuePflda/7V7hsg/u0vQ5NhCQpyGZe7Y+5+U7M/hDs/pOYcrb5J7tg943vb7zmgbIue+iRX+VNCTj81ZVNLfFrSrBSmGht05yPV1g+ubEpNvgWbl/5+Ub+uDscEvyuuI9yF7cp+pWgp/1rtT4/ztNQFruzUVRhizQXmT+yLi/o73gsturi65p7xvZHXWr8DbXWqEJ+aPKvxw2rut6flOL1LpEP6pT5KGk9ISIgmv6O2PHl6X9T8r6RxVutT5JDWMhweEow3ZuTay6gnvsRbH+nqN7H2avyp+Jia8qOmjEvDcvW7Wj+lNm415yrF5S4s6TG1ebhnfG+8Np1vAwrtwjdmDAYA5J3fy36uuP3v7xiypv6zzz7D5ZdfjuXLl8v+PmvWLI/D3rZtG6ZPn459+/bZjw0dOhTPPPMMLrjgAodzH3vsMTz++ONOYbBcU//HH38gMzPT5Tn7y6px5aL/oa7R9a0KDwlCXWMzcnvGYvH1uQBgXzM6oAfvIHcdq3S6ZtmNQ/DcV/uw7ehpWC1AiySaft2i8PJfcjB/ze/YdvQ0IkKtqG3gpzSHWoHWfwEAb87MxaDkWIe1qouvz3VYG36iph43LttiT4sQp/A3t2csHrgkHXlLNtnzHB4ShFem5WDuyp04W99sP1ecrw62IJyt59fOnWtowv5yfkQ3IjQIS28YgqfX7bHHGRZswbkmzn6NnGZCOm5Yutme3z4JHQFw9rAF+iR0QNHpOtS1TvUW7oU4fWLdBvSIxvPXZOOvH/5mT1O/bpEIDrJi17FKJ93E63+FNIvTvnBKlv3+CN/FYQ/oEY07LkjDnHe2Qbi9fbp0xJNXZeLGZVvs4a297Xz0ETUkxPdMek/FWom1F/Irl67F1+ei9MgBZGZmOoQpJSzEiuU3DrXbpVxY0nsjIKydBIDpb2603yurBVgxeziG9Ypzmx+ltMvluU9CBxwoP6uoa0SoFV2jwnDoRK2DvUvtYUkev4eCNG3idAzoEY2m5hbsLnE/qhweYrXbY5+EDig8VWu3eeE+7y+rxlWv/eSkoSv6dYvCOzcNdSrTYq3F91Bc7uRs/GBFDf6y+Fe7fqmdI9DRFuJwjlh3C2A/Vyhnwr1wV8bEOotRaw/SsJ6/Jtup3AnfxemU00wav9gnKmnlKt1K9qSUR3FaBf3EaQZ43/nx7eejU4dQh7pEbIPSuOTyAvC+Myw0CLuOVdrLgJzP2XT4JKa9+au9TpArs30SOqCg4qzDObERoU71pC3Igs/u+hP6dIl0uD48xCKqW6zoFd8Ru0uqHHSW1rvhIUH45I7z7WGJ8+jqXkvPjQgNQm2Do62Ky6rYf4nv15wxqZj9zjZ73sJCrPj0jlEAgMmv/2z34Y9f0R/3f7jLwR/955bhTuE9cEm6g+9fkjfEwd8q2dvMtzc5+J+encJReKrOHl9YiNW+5EmMUOeKSY2PQEnlOZGf6ojgIIs9fDldTp1tcPBZ0jpZsFkADuf16xaFR6/opzrP0vIi1isi1IqUOGebkbvf3pRjMUmx4YjtEOrQ1pGW+Tk5EVi8s9atv5PGKa23pf6vX7dIHD5x1n4vbEEW1Dfz91Js+2LbFduJo89uu6dSbcQaS7FagH9dn4vFGw7JtoOUEMqbO78l1cTVPRfiFPuxucNj8dKvpx1sS1z3KWELtqBnpw7YX15jz6fUN+4vq3Yo4y9dm4N7Ptgh8h9t7U1x21eqQb9ukThysha1Dc7tPandisur0IaWlpVTZxucfK60T6GmD6CE2FYEUuMjcORkrVM/ReC8zh2wcs4IVW0pAC7LpZlQu6be0I3yfIGWTn19fT3q69veSVhVVYWkpCSmnfqSkhJ066a8juPJz3fjbcmaEldYLfxmEhzHARbAFhyElLgI7Cg8A1c3OsgCNLuxhLBgKxpbWtDspv0fZLUgOjwEI86Lw8aDJ8FxnH1tuLDOrbahGRaZAQQ1abFYnEfogqwWtLRwsFrhkD7pIEWw1YImSaQhQRbYgoMcNBtxXhy+312Gc00tsuGoQVyRia+XpiE0yIoWjrMfG5QcgyMna+26AcDDH/+OxmYO9U3NaBSJExJkQZDFgvqmFnSwBWNMemds2FeBmvome9gA7GvPlegWHYbSynMAgBtH9cIjl/Wz/yZefyzc0/rGZsACWGBBfVMzmprbtLcAGJgcg/1lNThb32RPl2AL943tgdiYWDz88e+oa2i2ayxHWLAV4/t1wYZ9FQ5hie+NHLZgKxqbW2TvWWZiFI6fqZPNj3DvpfEp5RmAy3IVExGCM7WNLrUPtlrQ3MIhwhaEvwxJxprtx+xpE6ejT5eO2F54xmVYcojtMCYiBJWt6emfGOWwFk4LtmArXvxzjr1M3/3BDqdyJUbJxqvqGhWvE84RdG9u5lzeczFyZQwAGptbEGELwnNXZ9vXz7myb7E9KJWpjqJyd7a+CcFWCxpl8iTWTIx07a+SDmI/Kk53YzOHusYmu98T25OQT2kehbTagq1o5jgHnyKHLdiKDrZgpMRF2G1QWKMo1hSAy7yIEfy4BW0+58ZlW/DfveUAHDuH4jIbbAXKq/mpucJmp+64ICMBOwpPo7GZQ21Dk6xf6BXfAZV1jeA4DgOTY+3pkAtr06GTLusw4V4LetQ2NCNIpu6RIty70GArglvrpRHnxeGbP0plbUrAAqBrdBhKWn24lCArEBYSJFu3dRNdJ/hbab0N8PZ276qdqFdZBrUgHUySq7ebWzgHDeXqZLXH3OUZgEN5Eesl9ulimxGuE+53iJt63V05ViKoVQsxWvydOE6LxWJvHwJ8vS32ubbgIESHB+Nw64C0K6yt5Tk02IrmFs6trYvvy6DkGOwurlLl34OsaPU76htk0vaX1G/J+Uiley61J2l7tJuLcqgWoTxYwNfT+a31tLSMi8uNtAwphQk4tgNuHNULg5JjFf2U+DpxWTlb3+TSFyj5Enf1nR4EWS3IG5nisi0ltXlpuTQbajv1hq6pLykpwYMPPogpU6bgiiuusH+8ISkpCSUlJWhq4htcHMehsLAQycnJTufabDZERUU5fMzO78crEWLlGzJxHUJxmcTgIm1BSIwOg9XCd4ajw0MwbWgSukWHoVtUOL6ZOxqjenfGuIwERIcHwwogNiIEo9LiMGNYMsKDrbCAr/C7RNnQt2skgixA1ygbOncMRVb3KESEWBESZEG/xCj0iuuAUWnxSImLgLCFS5dIG275Uy8MTOJHvizgHNaqiteG7yurRrfoMIzLSEBOUgw6R9qQGB2GDqFBmDqoO7pE2RAWEgQL+FG6b+aOxjdzRyO4NbKEyFBc0r8rVs4Zjg6hQYgJD0FKXAR6xXXA13NHo1dcB9iCLQgNtmDGsGRsfuhCJMWGwwIgJjwEN5yfggsyEpAYFYIOoUGYMSwZF/bt4qTZa9MHoV9iFIIsQHJsODY/dCFmDGuzqaiwYIxKi8fQlFi7DuEhVgxKjsGotHjERYTAFmxFr7gIpMRFIDo8BKPS4nFBRmfccH4KUuIiEGK1oFdcBH6ZfwFuOD8FnSNDkRIXgT/17uygm7D+d9rQJFzYtwtmDEtGlyibPe39EqOQEGXDtKFJeG36IEwbmoQOoUH2sH+ZfwFsrQJ2jwnD1ocvxMo5w+15mTEsGRvnj8fXc0cjIcqGP447jp7KrT8WtBLSJGjfKy4C4zI640+9O2Pa0CSHdAl5Onyyzh5mv8QouxMKCbLgsqyuiA1v27+zX2KUPU/isIR7ExXGdzSG9eqEuIgQRIfz3yNCeRsKDbZi5Zzh2PrwhRiaEosgi+Maeml+hGNyaZfLs621/MRGhOCWP/Vy0nXmiBREhQXD0mq7F2QkIDE6DJZWGxLsYVxGZ3SLCsfvxysd0iZOx6jenZESF4HOkaHoEBpkL/MW8E/9+bIHBLceCw+xIiUuAl2ibAgNtiAxMgSzRqTY7/PRk2fRITQIUWHBiAgNwqDkGLstC2GFtG7UZAH/pCgpNhwRIVZEhAY5lGlhQ6fYiBCsnDMcQ1Pa1hfGhIco2niw1QILgGG9OmHrwxfi6kHdYQH/9EI4R9C9X2IUOoQGYVivTkiJi0BybDjCg3nflNWd/y05NlyxjAn7LHSLCndYP+fKvsX3QVqmUuIi0CE0yKHcJUTZENcx1J7OCzI6Y0pWHDp3DHXQTFq+ukWHISUuAhdkJOCbuaPtNiznD6TpnjY0ye6XpfYkvkdydtUvMQoX9u2CrO58eQoN4n3nZVld0bljKCLDghBitSAiNMhelwg2eMP5KU6aCnmJDudtalivThiVFoeosGAEtdprh9AgrJwzHJf074oZw5IdfM7e0irYWsvs3icnYuWc4bAFWx3KbHCQFaHBVgxNicVtY9Owcs5wu90K9eSbM3MRFxGCoFa/sq+0yq5VdHgI4jqEYlRaHAYlxyCuQygiQqxIiLTZdd5bWoUQqwVxHULtdVBcRIg9LHEdFhEahNgIvh6aMSzZ4V6L6zuh7kmKDUeI1YLk2HCkxEUgJjwYcR34ciHcu4jQIAf7i+vILw8Ia60TV84ZjhBrm9/8eu5obJw/HgmR/HmRtiC7nw9t3WhMWrfZgq123z9jWDJswVa7v1Wyt4jQIESE8htMfTN3tD3sICvfMRvWq+190R1Cg9A5MhS9Exz3NegeE+ZQbwZbgZv/1AszhiXDauE7XTlJMfwO2BJdgq0WhFj5DU3FdbKl1d9ufuhCjEqLgxV850s4j/c1bee5y7O0vIj1mjkiBaPS4tG5Y6iDzUjvt7t63VU5FrSJtPE+IDU+wn5+r7gOmDEsWdbfBVvh1t9J/YHQPhTqban/6xwZhojQIMR1CMWg5Bh7fRYaZEFMeDBiI0IQEWJFTlKM3XaDrRZ0juTbKClxEYiNCEGwlR/sEu4p3/5r00bQOCEyFF2ibOgUEdKa33B0ibIhvkMIrBYgLDjIoR0k1H0dQoMQEWpFh9a6n3/AFYSk2HBEh4cgJjxY0W/J+Ui5ex4RYkV0eAiyuvO/TR3UHZf074qEyFBYAGR1j7LbluDvOkfy7WrRnocIsgCx4cEIEa0O4suLDUNTYnFe545233j05FkkRNnsZTyrO99viQoLxs1/6uXQ3rQFW2C1tLVPE6PDEGQBIsOCYAu2tpbdOId2wB/HK538VHR4MEKDLEiKDcfNf+qFpNhwBFngUFYiQoNglfG5ltbyqORLxHVEsNWC2IgQdLS1CWEB7PfaAt4fJMeGY1RaHFrdDTraghAW3NZ9DbYCQ1NiYbMKYXBu21JSm28ve1gZ+qR+xIgRyM3NxdChQxEkWut23XXXeRXu2LFjkZeXh7y8PKxevRrPPPMMtm7d6va6yspKxMTEoKioiFkHf/fu3ejXr5/i702ikbDgYCtaWji0tHBoamqB1WqxfwCgRRjBFnkPq/0JtgVNTS1oaeEQGhrkcL4QXlhYsD1c4Vrhuzhs4fu5c02IiAhx+K2pqcUelhghDdJzhTyJ03vuXBOCg60OeRN0kKZfCFec16amFoSGBjnEKU3/H/n56Ne3n8N14jQIcUrDFscZ3OpUGlpHHIW8iI8L/4uPi3UX6ynVR3pPxedI76sQt1JeGhqanexFsAdBawEhPOm9k95PaRzStErTLSBoL7ZJQU/hf0FT6XFxnsXfpfdMbNPSdDc0NMsel+ZFmnZXuorTKNZVfO8bGprtdimEJc2b+DppOsRxnzvXZA9LfFycfyEcoTyIdQfgEIagoVh3cRqVbEKstbhMCPEK18nZpxCf+Drx/RfsUqm8KN07pWvc3Wt39iC999JjcmkHeHvP7N/fwWfLxaUUtlJaXfkMd2VQ6juEtEl9p1z9IxemNL1K5VIoA9K0CukQfpdy7lyTvcyKzxFfLxwX2+CuP/5Av4x+9npDWsbEvlPqu6X2LJwv9pnieyqt25TqYWm9JYQnd70r/w0AtbWNDnkWbE/qR4SyLr4fSn5VyfeL0y1Nl9hGGhqa8cfefAzol2m3LfF9k/M1SuVTjb+Qni/EBcDBloR0SOtcuTwL54mvld4j8XHxdeLf3ZVRpXPE91VsmzVnGxAR7riPjPjaP3bnI7Nff5f+Til+pbSIbVHQULjP4rpPSKO4nSkNR64cin212AcIf6W+QfAFQlql9ZgQjnBcrIHY5qXaSH2k3D1XqrsbGppRULAPffpkOFwjtDXE/k/QUqyhEK7g48Rxin2fkC65to9cO1SsrdhvifOq1M6Vts3F90i4TghHXH7EPsFVW0bavpCLR9rPEd9r4VNwcB/69M5wOC5udyjF78r+zYgws/zMmTOIjo5WPM/QTv2AAQOwa9cu3cPdt28f8vLycPLkSURFRWHp0qXIyspye92xY8eQlJSke3oIgiAIgiAIgiAIQg+KiorQo0cPxd8NfU99bm4uDhw4gN699d1lMD09HRs3btR8XWJiIoqKihAZGQmLxfjRGWHkheVMgUCEdGcHac8G0p0NpDs7SHs2kO5sIN3ZQdqzIZB05zgO1dXVSExMdHmeoZ36e++9FyNHjkTv3r0RFhZmP/7f//7XyGTYsVqtLkc8jMJf1ve3N0h3dpD2bCDd2UC6s4O0ZwPpzgbSnR2kPRsCRXdX0+4FDO3Uz5gxA7feeisGDx7ssKaeIAiCIAiCIAiCIAjtGNqpB4AnnnjC6CgJgiAIgiAIgiAIol1i6Cvtzj//fOzcudPIKE2NzWbDo48+CpvNxjopAQXpzg7Sng2kOxtId3aQ9mwg3dlAurODtGcD6e6MobvfZ2VlYd++fUhLS3NYU799+3ajkkAQBEEQBEEQBEEQ7QZDp98vWrTIyOgIgiAIgiAIgiAIol1j2JP65uZmZGVlYffu3UZERxAEQRAEQRAEQRDtHsPW1AcFBaFz586ora01KkqCIAiCIAiCIAiCaNcYOv0+LS0N559/Pq655hp07NjRfvyuu+4yMhkEQRAEQRAEQRAE0S4wdPf7lpYW5OTk4MCBA9ixYwd27Nhhit3wz507h6uuugp9+vRBdnY2JkyYgIKCAgBAeXk5LrnkEvTu3RuZmZn48ccf7dctWLAA6enpsFqt+Pjjjx3C3Lx5M4YPH46BAweib9++eO655xTjr62txbRp05CWloY+ffpg9erV9t8eeughZGVlIScnBzk5Ofjggw8Uw3F1rqs4WGFm3QX27NmDiIgI3HPPPYrhrFu3Drm5ubDZbE7nlZWVYcqUKRgwYAD69u2Ll19+2a0uvsbMuufl5aF79+52G77//vs9CufAgQOYMGECsrOz0b9/f6xcuVKrTD6hvWj/t7/9DRkZGcjOzsbgwYPx9ddf238jm3fGna95/fXX0bdvX2RlZSE7Oxvnzp2TDWfJkiXIyspCcHCwk64HDhzAuHHjkJOTg4yMDNx3331oaWnRoJL+mFn3yZMn2209JycHVqsVn376qWw4LS0tuPPOO3HeeechLS3NYX+giooKXH755XZ7nzVrFurq6jyRS1fai/avvvoqMjMzkZWVhQEDBuC9996z/1ZXV4eZM2ciMzMTmZmZuOKKK1BRUeGJXLphZt21+AhX7Zrbb7/d4f6FhYXh1Vdf1aiU/phde7VtElf+BgA++ugjZGVl2e3+yJEjGlTSn/aiuytfAwAbNmzAkCFD0L9/f/Tr1w8bN27UIpMxcARXV1fHrVu3jmtpaeE4juP++c9/cmPGjOE4juNuuOEG7tFHH+U4juM2b97Mde/enWtoaOA4juM2bdrEHTx4kBszZgy3du1ahzCzs7O5Tz75hOM4jjt58iTXuXNnLj8/Xzb+xx9/nJs1axbHcRx36NAhrnPnztyJEyc4juO406dP2887duwYFxkZyVVUVMiG4+pcV3Gwwsy6cxzHNTQ0cKNGjeKmT5/O3X333Yr52LdvH7dz507uoYcecjpv+vTp3EMPPcRxHMfV1NRw2dnZ3ObNm91J41PMrPusWbO4l156SVU+XIUzcuRI7q233uI4juPKy8u55ORk7tixY6rC9SXtRfsvvviCq62t5TiO43bu3MlFRUVxNTU1HMeRzcvhSvePP/6YGzlyJHfmzBmO43h7bWpqkg1n586d3O7du7nrr7/e6V5deeWV3CuvvGLPb2ZmJrdu3Tp1AvkIM+suZsuWLVxcXBxXX18vG87y5cu5Cy64gGtqauJOnjzJJScnc3/88QfHcRx39913c3PnzuU4juOampq4iy++mHvttdfUCeRD2ov23333nb1sFBYWcnFxcVxBQQHHcRz30ksvcVdffbU9jzfffDN3//33q1DHd5hZdy0+wlW7RkxJSQkXFhbGlZSUuNTFCMysvZY2iSt/s337di49PZ07fvw4x3EcV1VVxZ09e1ajUvrSXnR35WuOHz/O9ezZk9u9ezfHcRx37tw5hz6XWTD0SX1lZSXuuOMOXH755QCA3bt3Y8WKFUYmQZawsDBMmjQJFosFADB8+HD7yNeqVavwf//3fwCAIUOGIDExERs2bAAADB06FKmpqbJhWiwWnDlzBgBw9uxZhIaGolOnTrLnrly50h5Hr169MHbsWKxduxYAEBMTYz+vpqYGHMcpjqy6OtdVHKwws+4A8MQTT+Caa65B7969XeZDGJ0MDnZezfLbb79h0qRJAIAOHTpg9OjRePfdd12G52vMrrtaXIUj1r1z587Izs42xdP69qL9xIkTER4eDoB/VSnHcfYnZGTzzrjS/R//+AceffRRREdHA+DtNSgoSDac7Oxs9O3bF1arc9VtsVhQWVkJgH+C2djYiG7durnUxdeYWXcxb7/9NmbMmIHQ0FDFcG655RYEBQWhU6dOuPbaa+1tF4vFgurqarS0tKChoQG1tbXo0aOHCnV8S3vRfvz48faykZSUhK5du6KoqMientraWjQ2NqKpqQk1NTXMtTez7lp8hKt2jZjly5fj4osvRteuXV2eZwRm1l5Lm8SVv3nhhRdw7733IjExEQAQGRmJiIgI1Rr5gvaiuytf8/rrr2P69Ono27cvAMBmszn0ucyCoZ36OXPmoGvXrjh8+DAAXvxnn33WyCSo4pVXXsGVV16JkydPorGx0cFZpaSkoLCw0G0YS5cuxSOPPILk5GT06dMHCxYsUHR6hYWF6Nmzp2Icr776KtLT0zFo0CC8+eabSEhIUIxX6Vx3cZgBM+m+adMmbNy4EXfeeadXecrNzcV//vMftLS0oKKiAl9//TXzqVJSzKS7kJ4BAwbgsssuc7k8x1U4ubm59qlThw4dwi+//GI63QH/1V4af2pqqj1csnlnXOm+e/dubN26Feeffz4GDx7s8TTWl19+GR9++CESExORmJiImTNnYuDAgR6F5SvMpLtAXV0dVqxYgZtuukkxTlfhPPLIIygoKEDXrl2RkJCAvn374oorrnCbD6PxV+3FfPfddzh9+jSGDBkCgG9TRkZGIiEhAV26dLE/ODITZtLdFz5iyZIlqu+f0ZhJey1tEnf1RWFhIcaMGYOBAwfikUceQXNzs9t8GIm/6i5G6mt2796Nuro6XHjhhcjJycGdd96Js2fPug3HaAzt1O/fvx8PP/wwQkJCAADh4eHgjHmjnmoWLFiAgoICLFy40KtwnnnmGSxcuBCFhYXIz8/HQw895PHr/O666y7s27cPv/zyCxYsWICTJ0/qcq6ZMJPutbW1uO222/DWW2/ZRx495YUXXkBNTQ0GDhyI6dOnY+zYsW5Hvo3ETLoDwNNPP42DBw9i165duOmmmzBx4kTU1NRoDmf58uXYtGkTcnJyMHfuXIwfP95UugPtQ/vvv/8ejz/+OFauXGkvK2Tz2mhqasLhw4fx448/4quvvsLixYvx+eefaw7n9ddfx7Rp01BcXIyjR4/i/fffx7fffqs5HF9hNt0FVq9ejT59+iArK8uj6z/44AP069cPJSUlKC4uxv79+/Hvf//b4/T4gvag/e+//44bbrgBK1euRIcOHQAA33zzDVpaWlBaWoqSkhLExMTg73//u8fp0Ruz6a63j/jf//6H6upq+5NQM2E27fVqkzQ1NWHHjh346quv8NNPP+GXX37BG2+8oTkcX9EedJfzNU1NTfjxxx/x4YcfYsuWLTh9+jQeffRRj/LmSwzt1EunV9XV1ZmqU//8889jzZo1+PLLLxEREYG4uDgEBwejtLTUfs6RI0eQnJzsMpwTJ05g7dq1mD59OgAgNTUVw4cPx88//4zdu3fbNxe5/fbbAQDJyck4evSo2ziys7PRvXt3/PDDD7LhKJ2rJQ4WmE33gwcPorCwEOPGjUNKSgpefvllLFmyBLNmzcKZM2fs4UyePNlt3uLj47Fs2TL89ttv+Pbbb2GxWNC/f39PZNIds+kOAN27d7dPLZ48eTKioqKwb98+zeGkpKTgo48+ws6dO/HJJ5+gsrLSNLoD/q89wG8ac8MNN+Czzz5Denq6/TjZvDbdk5OTMW3aNAQFBSE+Ph6TJk3Cr7/+6tbHS3nttdcwa9YsAEBCQgImTZpk9/+sMaPuAm+//bbDk0Y5H+8qnNdffx3XXXcdgoKCEBkZialTp2L9+vWeyOQT/F17gH9Kdtlll2HJkiUYNWqU/fibb76JyZMnIywsDKGhobjuuutMo70ZdVfyEVrbNQJvv/02Zs2apbhciBVm1F6pTaLV3yQnJ+Pqq69GeHg4OnTogClTpuDXX3/VQTXv8XfdAWVfk5ycjEsvvRSxsbEICQnBtGnTTKO7A0Yu4J83bx731FNPcRkZGdy3337LTZo0ifv73/9uZBIUeeGFF7hBgwZxp06dcjg+a9Ysh00eEhMT7Zs8CEg3eWhqauJiY2O577//nuM4jquoqOCSkpK4X375RTbuRx991GmTB2GDO/HGEAUFBVxCQoJ9owYprs51FQdLzKq79DxXG8W4Ou/EiRP2dG/fvp3r0qULV1xc7DYsX2NW3YuKiuznbdy4kYuLi7NvXKIlnNLSUq65uZnjOI776quvuKSkJPvGbqxpD9pv2LCBS0pK4rZv3+70G9m8M650f/rpp+2be9XW1nKDBw/mVq1a5TIvcpsaZmVlcW+//TbHcfwGhbm5udx//vMfl+EYgVl15ziOO3DgANehQweusrLSZR6WLl3qtHHVrl27OI7juMsvv5x75JFHOI7jN1e9/PLLuQULFrgWxSDag/a7d+/mevbsyX311VdOv915553crFmzuJaWFq6lpYW79dZbudmzZ7sMzwjMqrsnPkKp/VNZWcl16NCB279/v8vrjcas2mtpk7jyN++//z537bXXcs3NzVxjYyN3xRVXcM8995x6gXxEe9Ddla/5+eefuVGjRnHnzp3jOI7jbr/9du62225zoQgbDO3UNzY2cgsWLOCGDh3KDRkyhHv66aftYrOkqKiIA8ClpqZy2dnZXHZ2Njd06FCO43iDmDBhApeWlsb169eP++9//2u/7sknn+S6d+/OhYaGcnFxcVz37t258vJyjuM47ttvv+UGDRrEDRgwgOvbty/3wgsvKMZfU1PD/fnPf+ZSU1O53r17cytXrrT/dumll3L9+vXjsrOzudzcXJeNPVfnuoqDFWbWXYy7Tv13333Hde/enYuMjOQ6duzIde/e3b5r5xdffMGlpaVxGRkZ3JAhQ7gNGzZolUl3zKz7+PHjuczMTC47O5sbPny4Q/xawnnrrbe48847j+vTpw83duxY7vfff/dYLz1pL9qnpaVxCQkJ9jxkZ2fbGx1k88640r2uro6bOXMm17dvX65fv372DqIcS5cu5bp3785FRERw0dHRXPfu3e0DK9u3b+dGjhzJDRgwgMvIyOAeeOAB+27ErDCz7hzHcfPnz+dmzpzpNh9NTU3cbbfdxvXq1YtLTU3lXn75Zftvhw4d4i666CIuMzOT69u3L3fjjTdydXV1mnTyBe1F+wsvvJCLiYlx8DVCo/vkyZPc1VdfzfXr14/r168fN2XKFOYPK8ysuxYf4apdw3Ect3jxYm706NFeaaU3ZtZeS5vElb9pbm7m7rvvPi4jI4Pr378/93//93+Kb44wivaiuytfw3Ec99xzz3F9+/blMjMzuWuvvdaUu99bOM64+e+7du3CgAED3B4jCIIgCIIgCIIgCMI9hq6pz8vLU3WMIAiCIAiCIAiCIAj3GLIlcXl5OUpLS1FXV4fff//dvjleZWWlKV8JQBAEQRAEQRAEQRD+gCGd+hUrVuDll19GcXGxw/tbo6Oj8cADDxiRBIIgCIIgCIIgCIJodxi6pv7JJ5/EI488ovj74cOH0atXL6OSQxAEQRAEQRAEQRB+jaGdencMGjQI27dvZ50MgiAIgiAIgiAIgvALDN0ozx0mGl8gCIIgCIIgCIIgCNNjqk69xWJhnQSCIAiCIAiCIAiC8BtM1aknCIIgCIIgCIIgCEI9purU0/R7giAIgiAIgiAIglCPYZ365uZmvPrqqy7PmTJlikGpIQiCIAiCIAiCIAj/x9Dd73Nzc7Ft2zajoiMIgiAIgiAIgiCIdo2h0+8nTJiA999/38goCYIgCIIgCIIgCKLdYuiT+tjYWFRWViI0NBQRERHgOA4WiwWnTp0yKgkEQRAEQRAEQRAE0W4INjKynTt3GhkdQRAEQRAEQRAEQbRrDH1SDwAlJSXYt28fxo4di6amJrS0tCA0NNTIJBAEQRAEQRAEQRBEu8DQNfWrV6/G8OHDkZeXBwDIz8/HVVddZWQSCIIgCIIgCIIgCKLdYGinfuHChdi+fTtiY2MBANnZ2Th69KiRSSAIgiAIgiAIgiCIdoOhnfqgoCDExcU5HKOp9wRBEARBEARBEAThGYZ26iMjI1FWVgaLxQIA+P7779GpUycjk0AQBEEQBEEQBEEQ7QZDN8rbunUrZs+ejUOHDiEzMxOHDx/GunXrkJOTY1QSCIIgCIIgCIIgCKLdYPju95WVlfjll1/AcRxGjhyJmJgYI6MnCIIgCIIgCIIgiHaDodPvAb5Tf/LkSZw+fRrV1dVGR08QBEEQBEEQBEEQ7QZDO/X/+c9/MHDgQKxZswarV6/GoEGD8MEHHxiZBIIgCIIgCIIgCIJoNxg6/T4jIwNffvklevXqBQA4cuQILrnkEuzdu9eoJBAEQRAEQRAEQRBEu8HQJ/URERH2Dj0ApKSkICIiwsgkEARBEARBEARBEES7wdAn9Y888giCgoJw8803g+M4LF26FM3NzbjvvvsAAFFRUUYlhSAIgiAIgiAIgiD8HkM79Var8sQAi8WC5uZmo5JCEARBEARBEARBEH6P4a+0IwiCIAiCIAiCIAhCHwx/pR1BEARBEARBEARBEPoQzDoBLGlpaUFxcTEiIyNhsVhYJ4cgCIIgCIIgCIIgAAAcx6G6uhqJiYkul7IHdKe+uLgYSUlJrJNBEARBEARBEARBELIUFRWhR48eir8HdKc+MjISAC8Sq533KysrER0dzSTuQIZ0Z4eu2leXATveAwbOACK76BNmO4Vsng2kOztIezaQ7mwg3dlB2rMhUHSvqqpCUlKSvd+qREB36oUp91FRUcw69RUVFerjri4Fti4FBt8ARHb1bcLaOZp0J3RFV+1rDgFbXwYGTQbofrqEbJ4NpDs7SHs2kO5sIN3ZQdqzIdB0d7dUnDbKY0xdXZ36k6tLgQ3P8H8Jr9CkO6ErpD0bSHc2kO7sIO3ZQLqzgXRnB2nPBtLdEerUM6Znz56skxCQaNK9uhRYv5AGU3RCX5vnJH8JJcjXsIF0ZwdpzwbSnQ2kOztIezaQ7o5Qp54xpaVaOorUgdELTbrTDAld0WbzLqipAL58kP//ywf574QiuulOaIJ0ZwdpzwbSnQ2kOztIezaQ7o5Qp54x9fX16k6kDoyuqNad0B1dtM9fC7w2FDhZAPSfzP99bSh/nJCl3di8n82caTe6+yEBrT3DchLQujOEdGcHac8G0t0R6tQzJjU11f1J1IHRHVW626EZEnqiTXsFyvcAKaOA2zYB1yzj/6aMAsr3eh92O0UX3c2An82caTe6+yEBrT3DchLQujOEdGcHac8G0t0R6tQzprCw0P1J1IHRHVW6AzRDwgeo1t4VY+YB174LdOzMf+/Ymf8+5kHvw26n6KI7oRnSnR2kPRtIdzaQ7uwg7dlAujsS0K+0MwNNTU3uTxozD7CKxl+EDkxLi+8S1s5RpXv+WuDzewGLhZ8hcfhHfobEZS/y3wmPUKW9O6wK45FKxwl9dDcF/jVzpv3o7n8Etvbsyklg684O0p0dpD0bSHdHqAXMmLS0NPcnUQdGd1TpTjMkfIIq7QndaRe6++HMmXahu58SsNozLicBqztjSHd2kPYSDNrTg3R3hHqFjDl06BDrJAQkqnSnKd4+gWyeDX6vu5/uLeL3uvsxAam9CcpJQOpuAkh3dpD2Egza04N0d4Q69YxpoSn0TFClO82Q8Alk82zwe939dOaM3+vuxwSk9iYoJwGpu7fIPdnU+LSTdGcHac8G0t0RC8dx/rEw0QdUVVUhOjoalZWViIqKYpKGxsZGhISEMIk7kCHd2UHas8HvdW9pkR9QUzpuEvxedz8mILU3QTkJSN29pXgn8OYYYPYGIDFH+ZgLSHd2kPYSincAb44FZv8AJA70WTSBorva/qp5W0IBwr59+1gnISAh3dlB2huI6EmP3+vOYuaMDusC/V53PyYgtTfBDLOA1N0EGKq7QWumVcM4PWTzIgzc04N0d4Q69QRBtG/M1vgwEj97p7vpIP0IgjAEubcVmPhNH2bzjWZLT6Bigj09AhldOvUbNmzQI5iAJD09nXUSAovWDl56YjTrlBiDCTu0hts8VfYAyNewgnRnB2nPBtJdI3JPNj142km6s4O0b8XgPT1Id0d06dTPnTtXj2ACEpo6YjCtHbyj+ZtZp8QYTNihJZs3krYnPaS7J3jxpKx1QO3gzp91TRGhHrJ5NpDuGpB7svlqDv/R+LTTWN3NNouAbXrI5lsx+K1RpLsjunTqA3ivPYIgTI/ZGh8GIXnSE3TuNNv0+BvergtsHVALPndS/7QRBNE+kHuyGZUIRHU375s+DFwz7ZfpCWRMsKdHIKPL7vc9evTAAw88oPj7XXfd5W0UPoF2vw9AWnfkbLzxO4QkD2GdGt9j0A6kWjDU5msqgJXXAUWbgKRhwLXvt40gG011KbB1KTD4BiCyq2/jyl8LfH4vYLEAvUYDh38Ex3GwXPYi/+SHcI2MfuA4QIt+rTtXN974PUKSB/s0uYQ8VL+ygXTXgNxbCYTXdMkdd9E5MkR3PXxjO0wP2TwbAkV3Q3e/r6urw44dO2Q/O3fu1COKdgtNHTEQ0Whuwydz2/9orklHrw2zebNt2GLkUgiZpz9VnQaY50mP2dFlXSA/Xn706BFfpJBQAdWvbCDdNSDXSbdalY+7wBDdDV4z7S/pIZtnA+nuSLAegSQnJ2Pp0qVeh3PXXXfh008/xdGjR7Fjxw7k5OQAAL744gs8/PDDaGlpQVNTE+6//37MmjULAFBeXo6ZM2fi4MGDsNlseP311zF69Giv02IUVpqSYgzi0dz+k2ErWM938Mzw5NIXT3Al+cXhH02TX8NsXqjsL32RfzpfUwGsu5ev7PurDMPIp+t6MmaeYwOwY2ccP38hojMy2KXJn5DRD9e+2/YEzR2iAbXEnS8DA8ewmyESiLSW29Co82WP28uzv5Zvk0PtGoOQ2K8hunvrG9tpekxl8wHk10yluwkwlRpTp07FTz/9hJ49e9qPcRyHGTNmYNmyZdi5cyc+//xzzJkzB9XV1QCAefPmYfjw4Thw4ACWLl2K6dOno7GxkVUWNJOamso6CYGBZDS3afZP5lmj5osnuCYZvZbDMJvXY8MWXe+NgWv7ZSq61NRUWtemFm/WBUpmiITXFtMrfYymtdz2jAuTPW4vzybcSLQ9QO0ag5DYryG6m23NtEnSYyqbDyC/ZirdTYAuVv9///d/egSD0aNHo0ePHk7HLRYLzpw5A4BfVxAXFwebzQYAWLVqlT3+IUOGIDExUfEVe/X19aiqqnL4sKagoIB1EgIDSQevoKSS/z5oFptXvvn6VXMG70CqBcNs3iSVPQBTLIUgX2MQkgG1veOXm2ZALdAoKipinYSAxK2vMeGrVn2KQfklH88O0p4NpLsjuky/Dw8PxzvvvKP4+8yZMz0O22KxYOXKlZgyZQo6dOiA06dPY82aNQgNDcXJkyfR2NiIrl3bppekpKSgsLBQNqyFCxfi8ccf9zgtviA4WJdbYD58Nf3H03AlHTm77mfL+RHN9InawvM2f8JIavpE+OQJrpk6tBL8y+Z1uDcmWQrhX7rrjJHTESXTQS2sp6dqpV1M3eTLa1CQ1N9Jy3OAvhnDx7j1NeL6z29tTAM+y6+j/Qa0j2eMubQPHL9mLt3Zo0sL/7PPPnP6fP7553jsscdwww03eBV2U1MTnnrqKaxZswZHjx7F999/j+uvvx4nTpzQHNb8+fNRWVlp/5hhFD85OZl1EnyDr6b/6BSu17rrlb+608yf4BqN39i8Xk/XPVkK4YMnO6bW3ddPsoycjigZOLPrboIBNSfkdPf3qZuicpuc/1pbuZWW57K9Aed7jcLUvqa9IFM/ke7sMI32JpgVaCSm0d0k6NLK+PDDDx0+Tz31FJqamgAAy5cv9yrsnTt3ori42L753ZAhQ9CjRw/s2LEDcXFxCA4ORmlpW+PjyJEjijfZZrMhKirK4cOaQ4cOsU5CQNKmO6sRzdb4Vs00z+7sBuEXNu9q53ytHVBPlkL4oGNlat39vSPpAtLdQCTllqs4wH//ar5jeS7LB94YDpTtDijfaxTubT5wniTy6JxfhfrpxI//1id8QjOm8PNme+OPAZhCdxOh66OD0tJSzJ49GxdccAHGjh2LvXv3YsaMGV6FmZSUhJKSEuzZswcAv37i4MGDSE9PBwBcc801+Ne//gUA2LJlC44fP44xY8Z4lxEDEfYGMCVePT3zVaWtT7g2m83LEU0v0iGO1xoEzPrCdJvZ+RJT27yAq6frWjtCJlkK4Re6+wx2nQj/092PO1ySclt4+Sr+e8lvjuU5N4+fBp2bF1C+1yhc2rxeTxL9ZV2+L56cKtRPHc7KLz0lfI8p/LyJN0j2FabQ3URYOI7zuuaurq7GwoULsWTJEsyZMwd//etfERkZqTmcOXPmYN26dSgtLUVcXBwiIyNRUFCAFStWYMGCBbBarWhpacH8+fMxffp0AEBZWRmuv/56HD58GKGhoVi0aBHGjRunKr6qqipER0ejsrKS2VP76upqj7QyhOKdwJtjgNkbgMQc9dfVVAArrwOKNgFJw4Br3/f8dU7i9Z2WIN3Crdu6AuHf/41f59xrNL/OmePUrXP2Jn/i9dUpfwKO/M853pYWzzp8frIW1tQ2L6B0D1pagNJdnpULLRTvAN4cC8z+AUgcqEuQptbdB/m1o6c/8gC/0p2xVl4jKbd27ZubgKBg5/Ok5dxT32skfuDnFW1eXP9prXeleNo+MRI98ytGwU6rqyoRGRXtRYIJTzGFn3fVbvG1X2Pkl0yhuwGo7a/qcpd79eqFlStX4oknnkBubi7Wr1+PTz/91P5Ry+LFi3Hs2DE0NTWhrKzMvqvhtGnT8Pvvv+O3337D77//bu/QA0CXLl3wzTff4MCBA8jPz1fdoTcLR48eZZ0EfdF7+o/wVPS3FbqGW31wk2cjmt7mTzyS+ufl8vF66nz9ZCqtX9i8y6frPn6S6aM1cabV3ZdrAE0wHdFvdN+2nLlWXiMpt3btg4Llz5OWc7N36AG/8POKNu+rJ4lmfWrvq/wq2OnRQvb7RAUqXvl5veyX5azAsnzeL5Xl+z4uEaatXxmhy7aBmZmZsFgsWLFihdNvFosFV1xxhR7RtEvCw8NZJ8EFHnRehErs0hf5Jzw1FcC6e/lKrL8XSTl1WNdwq3NvR0Ja77YDaneo9jZ/kp2xVcdrBnQaiTW3zbtB2hHS+0mmD3fKN6XuSvkd/3fe3rwd9feVP9KAobqrLaNyun/5ANAlE5j2ATOt9MaUNq+Enk+6jHhq5iKO8PBw+d91rf9E7ROz7qZvcH3vV/bezvBKe7ParxZqTzr+NQiyeUd06dT/8MMPegQTkMTHx7NOgjyedl50r8RaK+7cWUD3XN3Cje+cIP+DuxFNd/lz15g6Wy7/uy4jqT5+gixX8XjQeDStzbvDiFfTae2EatDfre4sps8p5bd4J7B9mfeNHBMMohlq72obh3K6fz4X6NLfeUNHfxhwVEC19nrYvp6vOXV5vQo/b0QnwUUc8fHxQPVh59/1epIobZ+Mna8x8QZh8JNTw32NGZaBmCQdftuu0QthJbf3K7o1wfsac9iAGdDFs+zatcvh8/vvv6OsrEyPoNs9ZnitnhPeTFnVsxITV9xfzZefluth5eix7u7yJzc1Ujy1ypupk66maLF6jYkH+TGlzavBiE1otO6Ur0F/t7qzmNarlN/cPH3CN8Emhaa0dznd//KevJ35w5R0AYmPVK29HrZvRPnxk9dV+dTm5donq2a2/uiHmzvqiKG+xizLQEySDu+09+PNSatLga8fBn56gf/+y6uG+qWioiLT2IAZ0KW2vvLKKx0+V1xxBdLS0pCTk4MDBw7oEUW7pWPHjt4F4Iu1ZGbYQdPHa2G91l0LejkcpXAMWzesT8VjqPZ64smr6bSiphPqYZk3pe5K+bUI//hhI0eCsbqrLKMmGOzwCRIfaUqbV8TNvdPk543oJCjHwevuozRI2yezvuDfIgOYeqDDCPzL3n0Igz0WPNbeTwbqFPltBbDxn8AJfg80VOwFXhti2F4sZPOO6FKDHz582OlTXV2Ne++9F3fffbceUbRbvN513xcjVO46L0Y4TB8PLPjubQfuGjI+aOgYMQijWPFozw+rN014jVk6Qg5lXr3+7nU3ydMCf2/kSDDM3tuZbnqgXns9bF+n15wq3Tu1ft4IO3ATR3Rwg+/SIG6f5K8Flk0ELFagn59u7qgjxtatBtUXbtubMulg8OTWI+1NsJGr1xxcz/8NjeDzYIsE6mt8mweRTfC6m6TtYgJ82hqdOXMmSktpOoQriouL1Z1o5Mij1inmvkibj5+KqtZdCSHPJbva8u6u41t3ysuGjoLj8vUTZKWKZ9tyj/JTXFzsW3s2607IelN3uk3/z+fyU+Bc5NmlzZulQ9geGjkSvPY1amiHunmGo49Upb0etq8mDCW/pPbeqfHzQlgn9gOdM/i/etuBu/Tmr0XkOxf6zhbF7ROHt8ksC4j3crvCEF8DGFtfuOqgm6Xegofam2FWrLfE9OT//vkdPg+3b+H30YjP8F2cIpsoO5RvGhswAz5/xNTc3OzrKPwa1aN7io7NRyNUWjpGvhgV9fFTUd1mSFTsdf3KPXHH9/1r+EaWq4aOku6uKi9fP0GWq3g6pfLp8KDhFhUV5duR9Pa4vsrBLlrL+qqZbfqfOsRPgfvN+Q0kAoo276qRbvQASXto5Egw5OlZO9RNMzI+0q32egyGqA1DyS+pvXfiQXVxmZTr5E5dytdNU5fqbwfu0lu+Bw2JQ42xRSOWRPkRhvgaswwgukyH8U9uPdLe3+xX6ntqKng/AwA/PMN/F/Iwdp7v03NoPfp8O4O9LZoIXXa/r6qqcjp28uRJLF68GNnZ2XpE0W6JiIjw/GJPd6hXs1Oky91z/X+qi1e6yyH3yr0Vf+HvS2gE/9Tk1CF+Z9B+VwIT/yG/q7mc7kbsuu4KuR3E08YDUYkevSosIiICaDjl/APtYKqMYBfJw4EfFvLHrEH8etIuGfwUuHevAk4dUQxC0eZd7bgf28vYV+0YvVu9ATanu6+RwwS7/DNFwUfGjHkcSJ6pfJ0erzws3wP0GALE9wFG3gFYgnz7mlNXdbMQVvFO/nt4rP52oJTeymK+wZ+bh9qs2Yjgmvjvg2/wnS16MqAtLfO+8AGM6jJDfI3hrwlVaG8qpePYNuDXN/hzfPHaWQVUaS+1C7Ms6VOL2PcUbnTdLvVpHlpt4dRhNPUYjqCL/g7s/hQYfT8/uODHr2H1Fl1Uj4mJQWxsLGJiYuyfESNGoKSkBC+//LIeUbRb1C9PaDXi2hN8Rbl1qeejpd48yZR9Yux/nXzvl4UIr+9obajkznIecU0bD/SewD+puHUjMHc30Gs073C0jMiyfgon55y9GGHmtfflOjj/s0fVrJrFl/V+V/HrSJdN5Mt8eAz/+6BZipcq2vyYecCkfwBb/s1rz/JpgdGNHANmdaj2Nd7MivC3xqHeKPjIc0d3uL5OjydlY+YB4/7Gz5RxWX4U/JKe985+jSQuPe1AKayz5XxZqinnbV5atsxii3LLB/X2AYxmixmy3NXIp8uuZijKpSNzCrDzfSZPblVp355mEQo+d9ZnQHw6/9fTdqmWuk9sE+V7cKjvHUBzI69rc6N7W2znyzN1eVLfEihPA3xAbGys+5PERvzto0DZH3zj3aejpTINELmnIYsGAx1a389p4Kiot6jSXQnx/Vh3H//3q/nOeVfzBMapoSOjuxmfwnnREI0La/FshokaPJ29Ynpa7SExG7h6SVuZ//g2YONrQEsT//vX8xTzrGjzVqv80z+rFe16gMQgVPsal7OjCJco+MjGY25eM6VHh1pNGGX5wAfX8f977ZfclEkT+EDe5j1c21pdCvz8T/4NGCPvpLKgAa/aNWoxagDR3QxFufiMnkVQsgv4ah5wyTOIjY3zQQRmQ+R7xLOChHrL03ap2rpPxib6fDsD+NM9jue5m6nTjutZXUvh4cOH8dFHH+Gjjz7CkSNH9Ay63RISEuL6BOm6ocrWRkpsTy9GSzU2CoTRUenTkPGPAo21QNVxv1vP4lZ3KcLonjBDoiwfsIYADTX837LdznnXWvkp6d6ensLlr0WX1Vf4Zh2cWdb66Y3YLprq24537AykjASObeGXdrjJs2abN9EmRL7D94MWmnU3K2Z+wqGw3jwk1ObbeIX4ak+0HpCxo/y1wJKJfD2ZOs47v+SuTHrrA726x21libd5D8tWdSnw6yJg4yIf2Zo0Xb7wAWwGQ9uNrwE8m6Fo9Br1ir3A0Z+Bir0qtffjQXKp76k9KX+e3u1SsU+SsYnG7sNEyw79UFed0UX9xsZGzJw5E5mZmXjyySfx5JNPon///pg5cyYaGxv1iKLdUl5e7uYEiRFPXc4fP10of767EaqvH+Z3yga0NwqkDrPqONDnEuCu38y3OVN1KfDVQ8DXD8k2DNzqLhfehmeA4h18HnPzgJ4j+d+SR/Dfvcl7e+2QSinfg+q4bOeK+tg27zuQLJcp+KrD484uTh3m/16z3G2eXdu8pLGRv5afhVO6C+gzsX3ao68HLVpt4tTR3SovMHmDzx+mjkrSqNnPexrft4/y3+XsqHwPkJjD/3/hY577JTV1hLc+0NN7LJmJcObApray9cF1QGm+tvB8hbTMl+3V3wcwHAz1ub0biSevVmb4AMSt9v48SO7zTQkly4vF91Tsk2Rs4nC/O4Hy1jpWla4mr2e9RBdLf+yxx1BbW4uioiLs3LkTO3fuRGFhIWpra/H3v/9djyjaLXFxbqbsiI24pgLY0LpJVvlu7U7htxX8uj9XT/VcNQqkjlFIW2QX/ruZdu50M9rvVnclcvP4PE54EpjwBH/sotb/vck763XzRjFmHmov+5dv1sF5O0rvTcfck8awmvjc2UXfy/i/XOtbRlzkWdHm5Rob5XuAbtlAYx2/i60R9mjkk2AjBtFabSLO1uT+XH9u8JkYl35eD3s7tJ7/W1mkbEdj5gETHm/9wnleT6qpI1jspi2diVCWj97fXs/PXksdxx9feomGssUp/K9DOsVlviwfeGM4n069fADjwXmP2zVmROurlVkg7KnEtbjWnoVduHmwpQkl36PHwxjp8mJX91RqE/lrkf7dDODUQXW6BkA9q0un/sMPP8R7772HTp062Y/FxcXhnXfewerVq/WIInARjFjqFE4d1O4U1DzV09IoaE/Twt3S2riwWPi/0vXGQp49zbu/vdrEU1ytg/N2QEMu7OpSYMOz7F7N6G18ruyipgL4rrWz8O2j6l5zKEXsV/pM5NcILhoMdE5vG7SSxusLhA6WUfqbaRDNb2bpmOwJh2ynXEMa9Sjv9jp1mbId1Z7UtqxKCTV1hNd1sgf3WDoTITcPLRGd+QHwCx/jj3fLUVe2air4NbMCn9+rX8NbWuZz8/g1tbl5+vkAM/kVwreU7W3bU2ndfQg6VaB8rpxddB8MbH7Ld/Wd+MFWWb66AUylgU5fbUqotLxYGCwF4NInle9BfTeVr8/0m3rWO3TpfYWEhCAsLMzpeEREBEJDQ1WHc9dddyElJQUWiwU7d+4EAJw7dw5XXXUV+vTpg+zsbEyYMAEFBW2Fp7y8HJdccgl69+6NzMxM/Pjjj17nx0hOnlRYlyJFj8oit3VnbGGnbJ80CsyC69F+1boD8qN7cscCefdqDXl30t6XAxqGddRlKh49ngQq3f89n/AVklAJVha5raBkbV7sV8bOA5rqgK4DgIr9kM2TO3v0NM/VpcD2ZdrO90ZbQwbReN0qK8+4Ps0fOgJ6PeHQczaGtGzLpFGTn9eKMKMFcH5Hs2BHejYkfV1HeHqPpTMRJjyJPZPWtg4KtvqOi55wX7by1wKv5vBL3IJC+U/xDv6YHg1vaZmf8CRw3962wUs9fICv/Yqb8nPy5Enz7n2he7oYDjJ+NZ+f5dFwFojqDjScRecPL+ePyyG2i+pS/k0zw/+PX4/vi/skvDpPoPakunaQ3Jsh1i/k32whRY96S2l5sbBGXrrBqNQnjZmHg7mPqitvLAZWGKBLbRAUFITCQuc13keOHIFVQ4UzdepU/PTTT+jZs6fD8dmzZ2Pfvn347bffcOWVV+Lmm2+2/zZv3jwMHz4cBw4cwNKlSzF9+nS/WsefkJCg7kRvK4uaijaHIy0c/tJxVIuK0X7Vuss1yl7N4T/ShtpvK9hPB2OFhs6zk/ZaGqs+bbB42EhQagyX5fOalLWuJ3VKuxeNkqItQIfOwGUv8d+nLndbocravNSvAPxyksE3etbA12UQxYCnrAZ2kJLzX3Otn/QecM1AQj+Xryc0FD07pr4aZFNIY1LVNhcXeVH+hPiUpn0KduQPAzaAd/dYOhOh9iTva2SOu6R8DxCVCPS+iH/969zd/P9R3fXRS1q2lWbXeeMD9PYr0jrDTflJSEgwx7R0OfRMl6cDUHq1H0p28rM8bv0VuHc3cOuvaOmQAJT8Jn+++P4LOrgrD97gNEju4cCHq3um1+tAhdfpluUD/20dHDy2FfjPtcCSi11vMGq1yrdrpOWtupSXYNI/HNN7wUO+G1hhhC4tmHvvvRcTJ07E119/jcrKSlRWVuKrr77CpZdeirlz56oOZ/To0ejRo4fDsbCwMEyaNAmW1mnPw4cPd9hZf9WqVfi///s/AMCQIUOQmJiIDRs2yIZfX1+Pqqoqhw9rVA9AeFNZ+Ou0E08csMrRftW6yzXKohL5hoa0oWbfgZNwhVeDbnKVjEs7Udlw97SR4KpsCZW28Fecdm+ffGZNBU7sA/73Iv99w0L+NT4uKlRZ3R38R6tGh9YDrw831l/UnWr739/XuklsIujMYdf6yTVANjwj/3TEV7gqQ77omNae1KFxLSrb4jRe8gyQPR3oPhiWEwpp9Lb8qdXEX5ZVeXqPFfxf+I9Pam9zjJnHx3vdKl6njp35/2/71Tx6Gf0UXGNH2J8eaHmMUp27dan7e6PXwMLMz/hZHl0y+O9dMlA6fT0w81P1YXA+nGlQd9rx+48vqoxLQ5r0eh2ocE+WTOT3+wKAM0eA/V8BEa2vy3axwWhzZbG6+/6jymWYfo4unfq8vDzcfffduPnmm9GpUyd06tQJs2fPxp133okbb7xRjyjsvPLKK7jyyisB8FONGhsb0bVrV/vvKSkpsrMGAGDhwoWIjo62f5KSknRNmyecPn3a/Une4q/TTlw5YKXKVeVov2rd5Rplt23iGxrShpr9yZoGJ23WqXKaUV8Z6G7zSnaituHuzaCXy8awgiaH1ns/yHa4deBSukHXnk8UL3Gpu1irzW8BPYZ42InzoKGybTnw/jX8/+GdgBP7VehhsvXdYiQ2sf/Cd835dFaMr5/I2Gm9X7UnvGtcS8v24Jscp7du/CdwwUMo7DXN+Vo9BrnVauIvy6o8vccK/s9aukv7IIHVKq+L0nE16F2/Mn8K7trv8T5eR98o1s9rLXVKl1KdK7wv3Yh7ExTsdOj06dOyx51pzf8vr/J/9V7OlL8WWNHq96wh/EcY3PzoZuW4ZNtLBtaziTn8fl8AcGHrE/su/dviV/BJZ0sPenHfTdyO8BDdapbZs2ejqKgIpaWlKC0tRWFhof0Jul4sWLAABQUFWLhwoUfXz58/3z6ToLKyEkVFRbqmzxPEAxIu8cahyk3vjEqUn3ZiZCfTm7iUKleVo/2qdVfbyKipAL6ex/9v+HRlF2F7szmKWjQ+9VKtvSwqnbCWhrs3TyKVGsODbwR+bq20f37VsYI8ddj7J59qNuiSoKi7VKvGOuDYFuDoT455ctfAV2sHYnvLXwt8+QBgsQLpk/iNKDkO6JSqnBez72ArsYnOKX01doJN1tDwpmMqvtfi+yaUDU+QK9uvD5ct2127JTpfr8fMA3/prKvF0yVQCv6v7s8r1Q8S+LLNwbwTDi/zJ/IFKvxet6hgz32jXDrF+kn/V/N0VK7sfz6Xf7Wyp/dEqc7NzVNxsQe+VeX9U9WuqangO9YA/4779En6L2c69CPQ3MD/H90DCI0AgkKA0Eh+KrtcXHI+ddHgtrT6tJ5tvRcTHm/b78vWkf8rtHNcbDCq7o0PMvfd7O0ID9GlBtq1a5f9U1JSgpKSEodjevD8889jzZo1+PLLLxEREQGAv5nBwcEoLW0z6CNHjiA5OVk2DJvNhqioKIcPa2pra9WdqHnasfi6Z52vU9qUSohH7W6Z3uC2wvXAAasc7VetuxrMurxBbYPGm4aPB3n3WHtFJyxjJ1oa7p4+pZIrW0CbJhWtcVXsBf45qK2CLN/DT5X3Zn8Mdxt0yaCou1SrWZ8DHeKBoq2O57nqsGixA7G9le8B0ibwM2qmreDT0Gs0kHahfF6k8ZzYD7yc6bgpEGskOtl1V9PhY9bQkJQhvTpawr3+bYWKXY4l13m8HKAtL7I274sp8Vr0MmLg3KiOsoJN155rkL9W8Q0lOnS8DXkg4WGn0JP8iX3BRzcDrw1x7V/z1yLm/Ys9b4doSaeac5XK/qlD/Eya31aoS5cUJT9qEf5R8GHerMNXoYvbdo1Qd1Ue5x+q2SKBwl+B8Y/qN5Mrfy3w+2r+wV3qOD7NDbXApBeAeYXAXb/Jz9KV+tTxjwKNtUDlMaBzhvvZc56WPYfBnnvb9sL67G7+74l9bgc+zp2ra/1PoUzK3Xezttl1QJdOfU5ODi677DJcddVVuPLKKx0+V111ldfhv/jii1ixYgW+/fZbxMTEOPx2zTXX4F//+hcAYMuWLTh+/DjGjBnjdZxG4dW6fi2O1W3HWYLa3TJ9hVsHLFO5anAsuu6n4NWTH5M9ldOKB3n3SHslJ7xtubydGPFqRqWylb+WrxBtkXxag21AfRVwptD16yi17I8h3aBLWE8oXoctKQ+Kukt35t38Jl+JZ011nx4BwQ5mfQbEp/N/1ZSBMfOAv7wnf5/UvP5w6lKg6Rw/9dKkqLZ3Vg0NpTd56On/xbNTJv4D6HQef3zzW/KNa0+XA0jycrb8qPP1vnjK7m2HqJ1NE/f5fkXunirb0bF+NXLATfqq0VNHgPoavrOlVM+W70FNfI7OmzKK9Wv9f+sSbZu8SWemCVOs9dyDSG4mgLBRrTAjzMe+1a3Nl+/hl7UNvgm4ZT1w+xZel6pi75czCX/L9wDdB/L/X/gYcPdvQPpEPg6rFYjsIr85nNSnVh0H+lwC/GUF/1Bi6lLXtuSJvxHfkx5D+b2vircD1mC+TocFCLK5HvioqUDUz0/z/8uVSVf33R82MPUANQtA3HL99dfjl19+wdSpU3HjjTeid+/eHoUzZ84crFu3DqWlpbj44osRGRmJH374Affddx9SU1Mxbtw4APwT902bNgEAnn32WVx//fXo3bs3QkND8d577yEkJESPbBlCYqLM9EBZRA513N/4nTc9Rbop1bXvi3a/dlEJVpfynYfBN3gXvx2FuPLX8iN2FgtfEA//yBfEy17kv0srVyH9gmNJn+g2fep1V8GYeY4NQqGR2dLi+jqlfOiG2gaNFw0fD/LukfZCZ054wl1TAaz4C69baIS8nchhxPTY+HR+CrmQ1q8fAv74COh/NXDJ03za193LVyD93QfngJwO6+7lO7XblznavqQ8KOou3ZlXmMVjscieLotgB8K6xvSJLuxAZG9aO1hSewuP5f+qmnrpI9z4RdX2rnRvPbETtSj52vPv0imC1nudOwvonuvet6vB1WseJWGnf3c9EP6S+rBZoaHuYo/7+kKbj/fi6bcrvfSsX72yWw/yJ/YFVceB/V8CPUfznTNAvp4dMw/N2WeAjp2Uz9GSTulTVIHty4GuWW3nKvo/SdkXEKZYq327h7t2p/TeHPwv30Fsrm87xyvfqu7+ubX5MfOA0l3Am2OAAdfwa8jF90dr20TOvsfMA0p/A94cy6c3sos6G5DGLa7PAb6e1WRLKhDfky1v8XGcLOA79VOX8Zv/xvQEzhxtG/gQx99638M5KJdJpfsenwFc8Le2sDSXFfOiS6d++fLlqK6uxgcffIBZs2YhODgYN954I/785z/bp8qrYfHixbLHOU65MHXp0gXffPON5jSbhaqqKnTq1Mn1SeLCu305b7CRXaHO2UjO2bacN2rAcVOqy14Eeo6SWfMoeRKuV8PDVYXrygHDReUa20t19C511zp44cmTHz0at65wpa84f5Yg7xo+HuRdlc1LkRs8SBvPT2MzshPkgEL5GzvfMa0TngQufrqtwvDmlWVKgyjHd7h9z7t23TUue1Fz3NuGtlM8rWnUMP6gO278omrdPR0c9GawVcnX2p+iefGEU3yvv5rP32vVjWsvO0KtYdd9+H/ooOQPdB2k1pJeI2Zn+SgOleVXtc27C0/TPRLlWahfwTlOH/a0fvW0U+ipvxP7gqrj/N+LngS6DnA8T+wvrFZ53T1Z9pNzHfDdY3z7pMdQfo8VAEjoD5TnO547dr6z/5Mr+4JuwvGv56nTw127U3pvDq4H3r2qbQAEnDbf6mH7yK3N6zlDSNp+PPQDvwxt3EPA3s+d0yv3lhtXvsF+vuRcxbR64G/E90T4XzzAIdwf6XGB1vt+bMA9SO6bK18mtdap/ronigjdchAZGYlbbrkFv/zyCx5++GE88MADWLRokV7Bt1tqampcnyCePpLKz1TAqpnK044dApc46m3LlTelyv+4LZ70SW3rgV3tlukp7qZCuZpe6clu41KqSxGx6RXlqUJGTF3UY7MmpSmb7vRVWuum15Q0N1NJXdq80rVyzlb8jtPqUmNfFyUtW6WiPSjcvQ9Z0N+TV5apXU/o8D//162vAXR4tZxMGRTu6dal+tqb3tNhfbQmV5XugP7LQNQg52svfREo381/91RXJR/UOd39shhP76tMXg4PeVzZH+jl57WkV8u+IEIatdqkr6aJa5jCrGjz1aXAVw/xs5fU+APFe+TiqfKXD/LvuU4ZxU8bVjN92B2e7MPgzZRvpU6YG1+g2tcIVJcCq2bxm6KJ0/nlA3y78LZNwHnj+DcI9RoDNLSGb7HygyUnC/j2qBjp0oGSXXz4X833TXtDem+EmQDiTdaUlgu42uNBY/tInfY6DbYpLUP771Ou06uLr/LwPCmSASn7X7njZ8ud/WDrfa9qtvHf5cpke9vQVAW65aypqQkfffQRJk2ahPvuuw9//etfccMNN+gVfLvF7Wv1xIX3wkf5Y1Hd+cLjarMouQrlywf4kVa5Tani+/DxjH+UX8NiiwQiEyW7ZfrIIUk7tK4KoqvdxtU6lupSJOxZwm6/AECfzZqUGjxqBwz02IVdS7pacWnzWhra4necis+Xe++3nptYyZWtpZfw6WDxekK5SlXmWHJsqOv0efRqOTfpANruUfEO/ezNF2skPe7kufaLZnh1qiLSsqK0Z4NWXYu2AB0683sriO91xX7X6dCtI8STlJTk2waclvRq3RcE0G6Tvlw7rGEgWtHmq0uBXxcBGxd57g/kHlZI87zjfSBzStvyHGH6sKcDvp50DvQYuC/LBz64jv9fRYdJs6+pLgV2fwx0y3ZMZ9oEvl3YsTPfVrluFTDqHn4qNMBPv5/5KX9ut5zWwFr9nzjfQ28Bmur4JWklv3moh5t2p/geiHeXV7HJmktctY9k2gmy2ovP03OwzWkgo9XOk4cp66uHr1Kza74v9oFx0c6z6y5o7cnDknaELtPv586di88++wzjx4/H3//+dwwfPlyPYAOCEydOIDo6WvkEYfqI2CHUV/Gd8Stfc5xuJN4sSm662Odz+fc+SjuS4qkt6xc4XlddBnzxV+DYNuDXN/jzXE3nVjON0dNppkIapeg+ld2A6ZG+HEF0q29rvqRr3QxaV+Rg81LbEUbUtWzE4w4ty0bUnCtXtlbfCBz5kZ8C77Yc6Ghfcrb/ag7/W7DNoTw0ZMwAdrwqnzfpq+WKNvF2EHeeuuUMrsqgsCwmNw/oPqjtGm/sjcX6czlUTK916+O9Rkd70kvXrKnAr68BzY38d7X3Woh/zDxgz6fAn+7ny6OH99W19ip0c1e3adFLr31BXOHLcuGqXpHopMrmVfkDyT2S8zNfPgB0yQQuf9XZZmJTHK838gmdN+0cgM/rp3cD9ZX8LM3SXW5tw2NfM+EJx3bhX95zbBcKaQHa0vL6cH4zNmHtunhdt5BvoR4fejPQf4rje9zV6CG0WwH+7/QPlafrC7bRWMcvy2us4x9QXfgYUPCdhjKgon1UusupnSCrvdCeCAnjl7Tq1UZVWoYmvY9ifb31VXLnsqqHRf7mdOERRJ9YDyQN9aN9SXyHLp36V155Bb1798bmzZuxZcsWp9+3b9+uRzTtkrq6OtcnCA7VYf3Mhrb3SPefLL9ZlFyFInbU0jiUrovswo94u+o0a11rL/ck1Zu1jWodixBP0pDWAzKNOZ9vXqcnCo1SVwMGSmvd1FzvbbpacbB5qe3UnuCPC3+9jMsnyJWti55o3ZzGDXrbl5ztL5sEwALkrXMoD9bTR1yHkzYBuOwlxzKU0I9/uuVN50ZoWCttvOeJvXnbYJZF/fIdbF3K6/D9E24bam59vDdotSd391EvXS2iRv36hW3xubvXmjZcdEFrPhs7jgDOO8/5d7W6uavbtOjl0b4gGv2bT8pFK67qFYlOyjYvyoc7fyB3j1w9rGhpdLSZ6jJg1fWO1xtZl58tly9rav1d+R5+M7XDG/iOaVR3tx0m7b7GhX1J1y8nZvM+7sJHgageKgekROEHKXQ3lPQQ2r1cM//91CHXHWHBNiY9z7dbhbIkt8maEl60j1xqLzz1t6/73wCszuP/eruHkjtfJl23LqDVV8md60t/44DEToU3GyQNRdOZM/z/U97SFqTuG3+bA1069evXr9cjmICkZ8+e7k9y1WBOLm2bdi+uIz19EuzqNVK+Go3zdgM+tY5FiKdLJv9d6gB9vXmdnnjSOTQifyrSpWjzNRVtGzT+/CqQeoHrPKnWQEvDWMW5rjZ/A4Da0/LX+UJ/Oduf+QmwdVlbY6i1PNgO/A848ilk8+aqDMk02lVf76uGtZIfk2tIq6m8tZQnQYtBs1T5RVU+3hM8sSd391G3GUStNrZ1Cb9xk6cDvp7G35rPpBlfOv+mZznUkl6lfUGUyp0nPt4ka0hlbb6mwnEX9c/vBaavks+T0j269Hn+7T8C4ocVpbvcX29kXe5pu0bwV7l5/LVvjgXAqeowafI1Wuxr8E38Zmzic90NSGmtz6UI7c7BN/IzUa9ZzvsTpXanu3aguzKgyWac2wny2is89T9bxu9f03OE6zS5Q0uavfVVcseN8DdiO/3gOn62hmhGZ7duPfj/OS3tPPjZG0fUo4vyY8aMkf2MGjUKp08rNHAJAEBpaan7k+TWX0/6B2/ER39u2/XaV+9Odbv+20dPS9WuhVbrWA61Dj5VFqE6eYLz+h891sAZwdalwMtZ/JpnLeuYhPekZk8HLnlG//ypXF/laPOtNrPnUz5Pwpq9yiLXeZKLa9FgftMesb34YmMYuXSc2M+vQweA/0zl13lK8YV9ydl+TTnw47NOOli/bm0My67blZyvdX2a0rKY14cb+951oaIW+w1365I9XReYm6dqXwxVPt4TpPY08zOgQzxQtNU38alFXI6EnZg1o0+dcvKkzDIeTeVQNDjhi70ylOquPZ8Yt1ZVl31AHO+Xk83nr+WXBRXvAKwh/EyO4u38Mbk8ie/RJc/wdVb3wW72ZBClwdU99tGGmLoh+KuKffL1kYsOk2pfo3V9tZwfd7XpZf5avj4WNlyu2Mt/12K/QrtTGJzmml3vi+BtB1OtX1BoJzhpL33qL9ee0PLaWG/S7K9INwqvOs7vXyS8jaHuNBp/bX1r2i+tA0i+6gf5Cbo8qZeyb98+vP3223jnnXfQo0cPXHXVVb6Ipl1QX1/v/iSlHTp/fBYI7ch/V7nmyiPUTuf2+EmcQgNO75E0YTfUa5bhaF0CMlO6OI4sGzaVyEuKd/Cbz0xbwe9Mq3bmhPg9qVlTnd+T6i0qZ3TYbd7hVY3v8HmKzeAbAJ3O4zfaUsqT0rr23Z8Ao+7l7UXLKLanT3bK9/C7BJ86yF+bPolfv/flg0BYlOO1rOyrNW8hzS3ql884HfOgk8Vy3buqvQ08TWerBiqXE6jy8Z4gtaeWRn5wafKbLi7y8XIVcTlKHdc2kHpoPe9v1KBjndLQIKO92nKo+CpZAzCq7OhRx8rcLyebL9/DP9WN7QUMv5V/8po0gn9aKZcn8T0q3gls/Ccwe4PzK92U0vDnd/kp2AJu1kP7Bi/L2n+u1bzXgmpfo8f6alcDLPlrgcZafsPl1LH8U/6Gs/xbltS2TYX25beP8t+/fRTomu27JRRq/IKLdkI911vVeeg/Gahrfdgp/PVlmv0Zse1VHQfeXM8vCcz/mP9942uIER4EVext2w9IVT+IwdJNA9CtU19bW4uVK1fi3//+Nw4fPoy6ujps3LgRGRkZekXRLklNTfUugPg+/Ii3sM7JyM2i9JjiZtQa9poK3kEAwA/PIPWKf6ufnqV2pNeoNTq5eXwjU9hLQa0j9/VUqTHz+Ce7W/7dpoFMulJTU51tZ99X/I9nCtts6fQRIPsvynE5rWt/kh+wEPDFxjBy6QCAclfrYlsxbGqspLJqzVvDBU8juHOy9g6CHu9aBgxqcMhV0G4qby3p9EALr328EoqvN1QYbDDC14rLUdnvbZ36zW8BOTOMWSIkymevvf8CBo6RX2MqRXxcbnBi1UzgileNmb7tL411hfvVe8IzQHV8W304Zp7jfgkAMPEZ5U66Fl8pl4bXh2ubgqw3XpW1Vj/VXA9MXalp4F61r/HF+mox8en8TFJpnRifri59gPOaemH2nq+WUKixORfthNRhF6s6D/F7HQcqUsYAXUT9JC3tSJMst/EZYturOsb/Lc/nN0EE2mZ22qIAa5D6jRH9au8sbehy52+55RYkJSXh008/xbx581BYWIiYmBjq0KugsLDQwysFx9/A/xUM1Kj3dAPeT/1xOwVMp5E0mdc0hb41qi0evRygEe+3B0SNdokuqvLhw9FJla+YKywsdLadvlfwP2ZcLnkF1j7luMQIFSEAe960vDbQ01cMWq3qrjVqyqfc1MDW9BWerFVIn5xNtP5/aL2urxhzedxb5PY2ULOkQm06PZym77mP14qLsm3Uq4eEsrDvC8fXIzbWql8ipLZOkStTknxyJw7Ix+uuPMq9SrZbjnHTWo0qO5o3JpWgcL+qD252rAusVlHaRXbqcFwJN3WW5naIhjrQE7/tTVmT+jABlfWRal/ji/XVYsbOl68Tx85Tlz6g7b5es4z/fs0y9lPLXdT1DtornVdfBbwxnJ+VCPB/3xjOT88XUGpHmn3ZiC+Q2zSzvgYI7QB0zgCsrc+lEwcCt2/h7UPYGFGprBhVFzJClxrigw8+wIABAzBnzhxcdtllCA4OhsXbtSIBQlNTk/aLxO/iFKaciA3TqFE6b9+17qoy1vOdnjLxnO080D/XHXmji56aakFSGTU1NTnaTk0FcLp1acTpw/x3T2xJureErxsu4nPkKlzxtb4c8BHi3rpUvrLa8wkAGV8jt3xG+o77zW/x+zBI17aarezI7W3w/hTglWz9Km8PBzE98vFacVe2jVp7KUy9Fb8e0WLhn9p1SnUfn5Y6Ra5MSfJ5YMJ78vl0Vx6FdABtujbX85t2tRekU5u11AeCz1HYV6I0Y5ZynFrqIDXna7EZrfG7shOlTpanZc1h/fBY/tiqmY7+yk19ZIivUYMeg1Jj5vFPun94hv/+wzP8d6MeWslxtlz+nlutjtor5bNkJ//0feoy/vvUZfz3kt/a7Enpdb5GPTQykupS4KuHgK8fUrfnTXw6EBQCwAIM+7+2mT4nC/i/4nIv3ANpOW3n+xDo0vsrKSnBjBkz8MQTT6Bnz554+OGH0djYqEfQ7Z60tDRtFwgGXnmcX6Nmi+SnnIx/1HjD9NZxizdCWb+wbSOUzun6jqTJVPq261f6oHIwYL2qp7oYNjopo4GkMkpLS2uzEeksilMHHdOlxpby1wKrWhuRqePYjLx6WuHqMfouxF28w2VlldY10jEuOZt4NYf/CMca69pen1ldyq9tveAh12XHV08UXIVbtAUIDgO4lra9DQD+Scj4R/WpvD0cxNTs47Wipmx7OwCrBeH1iHN38/t+3LYJ6DUaSLtQ3cwXLcelSPLZK3OIZ/kUBiekur4+vH080bG3I4r47+42JpUi+Jwa+Y0003r3gew75rXUQWrP9/FMG0WUfL6nZU3obMz6om16sTUIOPSjan/qc19jJEqbRbYOUjPBRT2flpamXEcJx6e8Bcz5H7DpDf74pjf47zM/bQv7rDBrhvFabyNmBlSXAr8uAjYuUjdr6rZf+XolLo2f3XDmKJozrgCazik/1JTeMyPrQgbo0qnv2LEjbrrpJvzyyy/46quvcO7cOTQ0NGDkyJF4/fXX9Yii3XLo0CFtFwgGfvdvwC3r+XWK3Qe7n3JiRsQjaeJCV7FX35E0mUr/0KFDvnvthq+egnszwmhvMHzGj3bO+kz/QSCVGjjYvB6jpsI7dAF+qqwpR14VBnz0HH13sxt78b7tjnEJ2s9stYmZn/EDhVHd2+7H7ZvltXRVdnz1RMFVuFlTgepifor0bZv4zuS9e4GMy3jfCHhfeauZkSGkU3SOZh+vFTVlSG3HR0h7yS7PG3Rj5vGvGZOzQ11nkcmUKck9smvvFK+KAVh3uvrzdFgfT20+unurc12g1dfrvYO9R3WNBwP1ng5MjZkHZE4Blk1s68harMAfq1X7U5/7Gl+g94wHo9In4dChQ/J1lHD9hmeA3z+UH6jY+1nb+Yq7uBu8sZtZZgaIO+FWK/83bTzQewJw2ybsGzBfm220830IdN/9vl+/fnj++efxzDPP4JNPPsGSJUtw2223AeB35rTZbHpH6de0aN34xt2usEYbpi82hzNgkyDNurvCqHfieqOLeJMiYedfPTV1pUFsSutJfGXkoL0e91ruHbqGbyrlosL1+aYsrXG62Y3dyeblbOK2TQ7XOO4a/ZtjfGbC0preCU+0aRvZRd4OvPGRanYLl5yjq6+RQ09/KaQ97jzPdwg3+t3F0jIl0r+lRaaJo7Y8utNV77ezeIPWenjMPH6a78rr+O8/PMPrEBGnMkLX+zec99XdQHCw+3fMu7JTV/p7soO91nLi1k507mRZrcpvdTnyo6ogfO5rfIFSOTLLZpHi9Lm454raV5e2LQ08dVh5A73TR/hzzhTy68VP7G9rQ/Uc1U43dpPZx0eKXL0hso2WljI3tmHwYAhjfNYDDA4OxtVXX41169bZj40YMcJX0fkt6enp2i4w2yiTLqN5kkJnQB416+4KI9erajmu17VqUNLg2DanJzYO2nubrq1L+XXTJ/Y7T6lktdOxeHTd15tBapgh0rNnsmNcSnsLyB2vPalhJoqvKtHW8GpPyDw5cREn4xF4XX2NHGarE3yNhmnUTtprmYLtT7pqrYe9mdqsYv8Ga+po57pAeAWa9MmnVp091V/rjvqu7MRXM/PkpgZf9ETrj+79qc99jad4MrPCbOWv7rTLe85r76buy50lP5tu8I38/jUAP1uuYi8wdSlfbvI/btsvRtzZ9/kyIB93hmsq+AdBAp/fq74ciWzAZXuS1T5SDDG0dHBcYIyUaGHfPoXdvVXRDkagGBU6Tbq7q5D8ao2Oj2xGToPMKcDO950aRiXfv6FfvMU7+HXTU5fyDciZnwEd4oGirfrF4Qp3jT9fbgYpF/eiwfzmSlJbralAwydzFeJS2AdBsHktHSFflWdxuN8+6tiBMdSHqCk/jud45+ONpjXtXIvjdzlYTT93O4japr+T9roOwHrpS1lO39djMzcX+zfszpznXB8OmsXntyxf/wcBeuNKH1/uT+Nlp8S0vsbloJOO99InZao1XatmurznBb/9Kn+v6k61BfXVfOd7mL+W36ujsY4Pu7qEP16yky838X1425u6lO/sT3rBuzaOGo18Xafmr+X37ineAQSF8p/iHfwxjeVI0ebb+S73ShjaqfdmR/z6+nrccccd6N27N7KysjBjxgwAwIEDBzBy5Ej06dMHQ4YMQX5+vl7JNTemGYFqdXhbl2hzpNWl/OZmiwabv9BJKyQ1TxqqS4ENz7JfjySmpgL4vLVj9/lcfW1GTgOFhlFY5WH94s3N4/+Gx/J/Wxr5keysqfrF4Qp3jWOlAR89NoOUi7vrAGD3J45211q52aqLnONS8iNim1fbAfBVJSoNV9jc69B6YytuNT7XNH7ZA8RpX3cf/9dVHlituXQ1iCrRP+jcafXXakGP+6yrfho7Rt5u5ubJ/g1ny/n8Ku3urRYjypgrfYyameeNbzN6wMjT+PS+l3r7JHH6rEH8JoZy9zx/LXp/c53zvfrsHsdXe8o9ZRfs6fbNfNhTl/PHTx3h/wqvBxTaOFyzd20cdxoZUaeW7+FnJPS+iN/4bu5u/v+o7p6VIzn7k5ZTox/4MEL3NfW+Yt68ebBYLNi/fz8sFgtKS/mbN2fOHMyePRt5eXlYvXo18vLysGXLFsapVY/m6VLVpbyTOfQD72R8uYbbHWKHt305H7fa9W3VpcDuj4FeY4Cr33ZeX9TfZ6kGAKQnRvOv0rAAGHmntjWRHqyr1RS23nsUAG1r3rlm/vupQ763GYU1cbEN9frFYR8o5BSO+xh36/6UGrjCZpBya+vU2r5c3Bc9Cbw5xvG81sqNu/hZICaxLa78j13sg9BLfR4l8XiVJzmk4RasB967im/0NNb5Jk4pavbNUDgnY+I/AGTqmBgfIKS9uYF/atJwlv9btptN3eIKpTK15xMn/TO+nwmEi9LuyZReqU82ag8VtUgHa6d/qLze1l39omYzNxW+wKFdI8SZNJT/zmkcgBBjlPau7MSotd4e+FO77kbv9+A2Ppl7rnQvx/+dD0/vNpBWxOnrdxVw5H/8JoaCrYnvubDk5LKX2u7Vir8A29/lbSV9ElC0iT8/7jzHeyi2p5oKYMPC1jB3t73eF4CThnWn+I6s3jr5qh4XM2aeczm6bpVHZSg9PR2oyHe2P2n4wgOfyW96mXhzY2in3tPp92fPnsXbb7+NY8eO2Z/2d+3aFeXl5di6dSu++eYbAMDVV1+NO+64AwUFBbKv9qivr0d9fVuHoqqqyqP06Mm+ffuQmamhwce4M2xH7PBSx/FPzVbNBK54VVvlKt7YysCNUI7mb0bar4v4L1nXuHGKBi5z8FVlLDjqwTcC714FXLOcn13hS5tRaBjt239Am80rIbeRkdFLUrzZ6djbhqFsHDL5b41r3x9/IDMmsS2u/z7NT7OWq7zFmxuqzaOvGruuGj3j/sZviKd3nFLUNHQUzjm152ckDPDiqYovBvmkCGmPSeY3ahr7EPDD00BMT+DMUQU/4UVZ80W+ZPSvWnEzor31cVKfrFujVwdfpXWw1tv6RfzGGvH9k/gCh3aNEKfQmBbv7q11wy8jOhzuMGqttwf+VHN70giUNhxUupfFO/mN5eLSgG1LgUueAboNUBmZijKl1veosTXh/oyZh927dyNT3JZNGw9EdnPs6K+7F0jo5zgjRvx6X6UBK/FGeT+3lp/aEx6WZTcaGTFopWMZ2rdvHzI7aQjLqAc+jDC0Uz98+HCPrjt48CA6deqEBQsW4LvvvkN4eDgee+wxxMTEoFu3bggO5rNhsViQnJyMwsJC2U79woUL8fjjj3uVB9PAqDNsp2gL0KEzcM1Sfg3QofVA574aKlcXjsVMGxF53HFUWKdsRANdDvtO5zv47+ExbHaS1Qu5CnDRYH56FWD+HWJ90TBUajwphTl2vnzlXV0GrLreORx3eJMnV2XDVaPn9eHyHRgWDWyFc8p/34UET+M16ombkPaWlrY8CPkTjovx9o0OvsiXjP5FI55GdL9++oTvIh7NvtRT/aTlhMVgrZAOrffvv0/yfyv2tj251PqU3Sw7ohuB8HpGqV9U5dsMHtxWis9VR1XpXh7fwXfqTx8Bjv7M24uaTr3aMqXWdrXYmpsd2p2ud7VcUTqIIJ5Rlz4JOMA/xMT3TyinXQk1Gpltg0JVeNgmb4focpcef/xxNDc3Ox0vLy/H5MltzvqNNzzbIKupqQlHjx5Fv379sHXrVrz66qu49tpr0dTUpCmc+fPno7Ky0v4pKiryKD16on23UpN0hrOmAif2ATXl/MZVANB4lm9cuMME607bdgIHFAu50kZkH93M/651Xa2q9V4+cjxWq3y6GDjq9MRo9evv1L7DdvyjQGMtUHXc3Psz+AoV6+CcfI3Srs+vD3cOZ+tS367RVFM2WL63WE1DR+Gc9Iy+PkiQzghpl+ZB7rhZNyCS0T89PV0HHyfxyd42er1dKy0uJ8La7/AY/rswWKu4Nt6Yhq2Drzm0nv9bU86vo7VFAoW/8j5b63vnWXc4WKxV17BGPD093fj2lav4XPlsxSepwj8abNQXPkmjramqX10dV9rHQdgob/yjfLmxRQKRicDZVp2F8uUOs/ptL0nv0al973WjEV08YX5+PoYOHeqwSd1//vMfZGdnIzc31+vwk5OTYbVacd11/DtVBw4ciF69euHo0aMoKSmxd+45jkNhYSGSk5Nlw7HZbIiKinL4sEbTbqXuDNObCke4tmSXujCE90KvmtW2cVVlEd8hcOUktDoWX1SiNRVoWHtn23elV2l40nH0xnH60vGYyKEfzd+svqGi1KiRVoBVx4E+lwB3/WZ8h88MlO8BegwBsqfz0xVlNoVR5WuUGmHCu+xZbvzoV2+ZaKPdveFEl8EVN/nSye97vRu4L3yyWL9LnuHLbPfB6vQTNpkT/moZrNU1L67vn133moq2V3Ul9ANm/wjcvoXPf1VxW/lltemiVkyezpLv3zC2nnfXrtDqs8U2+tsH/F9OxSwMTT7JNz7Va1/jakbdte/ybZyUUXz5mfMjkNA6FWfzW+rKMstBcV+RvxYWuYcQerXJ/RBdOvWrVq3CvffeiwkTJuDJJ5/E1VdfjRdeeAFff/01Hn74Ya/Dj4+Px/jx4/H1118DAA4fPozDhw/j/PPPx6BBg/Dee+8BAD766CP06NFDduq9WbHqObrvTYUjXFuxV2UYrQ4xMbttt86py907Ca2ORe9KtPVVGhGn97p/lYYnHUeX+XNRmfja8ZjIocvavNZGvNx67mvfbVtfLW48sHx1lFGMmcevL9/4Tz6fMm8BUOVrlBphwlsG3OGx1ioaWqyf0nmIah8vxaxPF7wdXFGTL538vsfaA77zyWL9qkv5MnvBQ+r0qz3h+FdtGvXMi4r7Z7Va2+IUXtVVWch/P/qTo72YvPyyReUa8VafG1512Nh63l27QovPFtvoeeOBUwf545/dDZS5Sb9an+RDn+qVr3EdMP9XyOPRn3idzhzly1XTOXVlWa1GRrWX9IinfA9qEwa5tncTtX2NQLc19ddddx1Onz6Nu+66C0lJSdixYwc6dZLbvcAz/vWvf+Gmm27Cgw8+CKvVisWLF6N79+5YvHgx8vLysGDBAkRFRWHp0qW6xWkEqamp6k40wwYxAmLHWF8D/Ld1bc+GhfwanYg45WtZr4lrfZVGS3RPBE1uXQ7yye38+i2plp5sBKZ0jrt1yr6+v6x1F9G9e2Lrf5L9BmTXuakcVXfVeDB6J2AWqNgURpWv8XZKpCdae7s+2+So9vFizLbDuhhvBlcMzpdH2gv4yid7ql9NRdsmWT+/CqReoD6NeuVF5f1LTU0FNn7sOk6H/JpwRoosBqbTgzXikZc/DYRHtP3m63pez3aFYKMRccC2ZQAsQLCN77S+MRwYfitwyUL5a93V/1uX8vXR90/4zPekpqb6dt8kIY+elmW1fseo9pIe8YyZh9ARDUBYGP9dS5u8Pe7DAZ069VVVVbj99tuxa9cu/PLLL1izZg0GDx6MN998ExdeeKEeUSA1NRXr1zuvHUlPT8fGjRt1iYMFBQUF6nYrVWWY3lQ4rdfYpzq5WGcuVOo9hgLHWl8f2GNo2+i/KyepuUGjcyXa+iqNPeKdStW+SsPTdbVqGkK+djxmecpZU4Gmz+6DDXDfgWvnnT39kSsrbf+r9jVSfHkfzNx51QlNuguNwvpq8wzi6onqBqk+ft9jmwcMagyqzKd0l/vKIr6cXPo8P0PHXRr1yovK+1dQUIBMtXH6i583Mp0e+sWCg4fk7d3XT5H1iE+wl6WtnbwZHwNdMvjXar43BSj5jT9Pa8dZ6DwOmuVTn1pQUIDMTk2+7xAHWCfVJVarvI9XsddNe50hpEuusrKykJSUhK1bt2L48OF47rnn8O677+K2227DrbfeqkcU7RZh5363uDNMb6YVia9dd5/rMMRTWc4bB/S+iP+cd4H+01p8MVXKagWsVmfdW4/7BDXTfwLB8bROr7PVFMlMAW1t1G5dwlfCuk599ZenQF4gLiuf38t/AIdyo9rXiNF8HxS0VrvhYTucGqdJd6EBmjXV3PsHeDp1Us0UUB39vkc2L+Brn6wln8KeGdGt+wVFJ/PfK/arS6NeeVG6f4NmOdhDcHCwujiNWO+qxzRfo9flerhG3Ct7Z41gFzM/A+7by3foAaBLP/77zE/5754uzcnN86lPNUx7n7cVjWov6ROPX9u8D9BtTf2CBQsQEhJiP3b++edjx44dCAoK0iOKdovSpn6a8KbCEa4ty+fXlzec5f+W7ZYPQ1ypj5nHP+W+bhXvGPV0kj6uRHXRXS1+usGX7rQ2VBpu/p9jQ+XYtrbG7fbl/Hl6dfbMui5ZT8RlpcdQfo+I4h2Os2fy13pm81rugyut1W542A7Lhke6WxgN8qntAHnasHbXINXZ7xvq57WgNZ+dM/hZcZWF/PfKQv5753T5832F0v07W+5gD6p1l27w6YtBPT32ZzB68NGdXxTKaVm+g89NjouQD8+fCFLopCkdd0trp1Hp/eQ6+VTe5jV0VL0dbPLRJtKGtJd0jMe0Pp4Ruljzyy+/LHu8Q4cOWLRokR5RtFsOHTrkfSDeVDjCtbl5/CZwt/7K/83Nkw9DaVqLmuku7hA7KaU8FW3VxZHportaAuEpvBpaGyqHyqr47x07A5lTgJ3v843a1HH88VUz+caqt529QNn1VOXsGY9sXm2n21OtA6BsaNOd8awS1rt769x5MtTPa0FrPiv28r9f07op7TWtm9JWeLnjto9Qrbt0g0+zDuoZPfjozi8K5XTJRAefG/rWqPZXvzmhwUcaOKh/dPc2bXF562t9sYm0N6/aVNsu17ldZlofzwhd5i14/SqHAMZms3kfiDdrbIRrW1rawhCuFY4bhXjjDKU8Hd8BvDXW6zVLuuhOaKP1fjpoL16jWXUMeHM90C1H/bRSV5hpc0lfIi4r4v+FMtxanm0HD2oPW7zRkHgNo/Q+uNU6AJZAKKDa1/jL2mIAPrufOq8XNa2f15pP4fziHfx34X30pllH62gPirpLfYkhg3o62CqrwUd368cTc4Cr37b73LqVsxHZ3uo3MVp8pJH7teSvRZ9v7+ZnE/jr3jDetJe0bHqnc7vMtD6eEbQYgTFdu+qwmYY3FY5wjtIaPFZPzFTs5u0NuuhOeISD9kJjVVxZN9cDg2/0PqJA2VBG5ewZj21eTYXtSmu/6qzqjyrdTbNhoIoOkC/vp5a6TMWGWV77eV/tZq21zpb6SDOVI5l0Keou60t8OOBnVs3U4u6tMBMed5w98Od3gA4dDE+mIWj1kUYO6pfvQUvy+Qi68lUNcXlr9z7YRNqI9pLO8XTt2tW3bx3wM3Tpse3atQudOnVy+sTGxur6Wrv2yNGjR9lEbMp3d6txUvo4Mma6E47ai99nLJ6O9fpw76cRBsDUbi1osnmt/kGsqfjaPZ8ExhIIJapLUffF393raIYNA9VMVTXTkhYV00+99vOslyMImEl3Fek6/bPKVwv7cnq0WTXzFheaHT161P/rN702VTVyycSYediX/ZD6uLy1e19tIq3luAMa2uU6t8uOHj1qHj9tAnQp/enp6dixY4fTZ+fOndixY4ceUbRbwsPD2URstkKgxklpdWQuOibMdCectTdDhyYA0GTzDv5B40Ca+NpAv7fVpUjYs8S9n2W9YaDaDpAn95PhAHK78fNmLUcK6epYW6RwgciX+LrTLaRt1mdAfDr/1wyaaULie91o5jf27son6LWpqpGD+larvPbiPRCE/Hpr92YbrGK8GbHf2LxB6DL93mazoWfPnnoEFXDEx8ezTgJ71Eyr8mR6qotpw6Q7O5y0D5Rp8ozxyObrTgM/LOT/dzd9VZgClzS07RjdW3WwnlWidqqqJ/dTy3pLTbgfbPLez5tkLwizliOFdAWdOe18rrTx32OIb6dH2/ch2Nlmf2bQTC1ySwfclFO/add44hNY+0g3uNRenF9vlwWYaa8gXywb0ziVPj4+Hjjbuvkyaz9tAnTp1HMcCekpRUVFiI6OZhCzSRorgDonpbMjY6c74aS9eDRbzSZKhEdos/lWv7BqJhAUoq7CFhouk99sC8PkDTHfYyI/6wq1nUbW91PwEf2uULVW2is/b6b12Kx1V0Jhr4P6r58FJj3Y1iiXa/xX7Acuf8n5yatenW6zaqYGpc7Spc/zbwsQkGjWPto1fuIzJajW3tsBOjMN8PligEHjgE/xgV2I/u1J/gtrP20CdPFuNMXeczp27Gh8pGZ7d7eaaVUeTU9VrhyY6G5WDJ4eq6i90UtCTLmvhO9QbfNi/2ANAmZ9oW3K7y+v8n/N4FtYYjY/6wqfdoB0bKQrvMpLafqpx37ebFNc/Qm5JSdy0/R7/Unel+je6fbDTqLScgs3b4Xxn3aNwj3xJ58pwbX2ovx662vNNFil17IxT9ti+WvR59sZ5KdF+MGQZfsmKirK2AjN2FhR46RcnSPnENxUDobrbmYM7kybRnuz7SvhY1TpLvYP/a4CLFZg2UT+uLsK+9B6/m9lkXl8CytEOtb3vjRwtfBVIz0xR9X6co99jVnXsPsrrPaM8NdOood6maZudYXSPTFj21QDitr7qw2qQa8BBk/38Cnfg+Yew8lPi6BOPWOKi4uNjbA9NlaknTMVlYPhuhN2lLX3wycqfoQqmxf7hz8vl/cPchV2TQWw+S3+/07nARP/0T58i6eIdDyQ/bfA1MInjXSFV3kpdHg89vOsNy70a2T8OIuni/7cSfRQL9O3a1zdEz9vm8pq7882yIK609oGQMbMw/6Bj5CfFkHvqWeM4SOrZlqP4ytUrPPxixFtwzC2My2rPZP1q4E1iKDK5j3xD8L6T8B57X178y1qEekYFVXXPv2sO/Reb+nOR8h0eDz282aa4upPmGkfAjNtKGYQpm/XuLonft42ldU+AG3QMzzYwwcArFZ53QPYT1u4AN7lrqqqCtHR0aisrGTmDE+cOOE/O5aaleIdwJtjgdk/AIkD+UpArlCLjpPurdRUACuvA4o2AUnDDGmEOWkv3hSo12jemXOcdzuouoNBvlnjM5tfv4BvvEgbLgn9gHHz9Y/PzwhYX6PCD6vGQx8RsNqzQHSP6hOHwVa8yfd+3BV62p+fYHp79+U90bhrut7Iah+ANqgZcVssPBbI+wrokqG6HWF6m9cJtf3VdmFVBw4cwMiRI9GnTx8MGTIE+fn5rJOkmtLSwFjP6zPk1iupeMpCuoPZ1DAn7Y2edhegU+J8ZvM0VdklAetr9Hza7aGPCFjtWSBecpLzEPvp0wE428L09u7Le8J4jxxZ7QPQBjXhzR4+rZje5g2mXUy/nzNnDmbPno28vDysXr0aeXl52LJlC+tkqSI2NpZ1EvwXL96RSbqD2dQwJ+2NnnYXoFPifGbz1HBxCfkaHfDQR5D2BiK6R7GxDX43fbo9QPbODtLeA9S0xdy0I0h3R/y+U19eXo6tW7fim2++AQBcffXVuOOOO1BQUIC0tDSHc+vr61FfX2//XlVVZWha5QgJCWGdBP/Fi84Z6Q5ma9ictDe6U+jna/c8hWyeDaS7DnjoI0h7AxHdCwfdaXDPMALb3tnukRPY2nuIDm0x0t0Rv/e2RUVF6NatG4KD+fEJi8WC5ORkFBYWOp27cOFCREdH2z9JSUlGJ9eJ8vJy1knwX7yY9ku6g9kTVubaB+iTZea6ByikOztIezaQ7mwIWN1N8Nq4gNXeG3Roi5HujrTvVqyE+fPno7Ky0v4pKipinSTExcWxToL/4oVDIN3ZQdqzgXRnA+nODtKeDaQ7GwJSd5PskROQ2psA0t0Rv59+n5SUhJKSEjQ1NSE4OBgcx6GwsBDJyclO59psNthsNgapJAiCIAiCIAhCNwJ0jxyCkMPvO/UJCQkYNGgQ3nvvPeTl5eGjjz5Cjx49nNbTyyG8zY/l2vqjR4+iQ4cOzOIPVEh3dpD2bCDd2UC6s4O0ZwPpzoaA1H3gbfzszBYAVVUAbMDE1/h12Qa27QNSexMQKLoL/VR3b6FvF++p37dvH/Ly8nDy5ElERUVh6dKlyMrKcnvdsWPHTLGuniAIgiAIgiAIgiDkKCoqQo8ePRR/bxedek9paWlBcXExIiMjYbFYDI+/qqoKSUlJKCoqQlRUlOHxByqkOztIezaQ7mwg3dlB2rOBdGcD6c4O0p4NgaQ7x3Gorq5GYmIirC72DfP76ffeYLVaXY54GEVUVFS7N0gzQrqzg7RnA+nOBtKdHaQ9G0h3NpDu7CDt2RAoukdHR7s9J6B2vycIgiAIgiAIgiCI9gR16gmCIAiCIAiCIAjCT6FOPUNsNhseffRRes2ewZDu7CDt2UC6s4F0ZwdpzwbSnQ2kOztIezaQ7s4E9EZ5BEEQBEEQBEEQBOHP0JN6giAIgiAIgiAIgvBTqFNPEARBEARBEARBEH4KdeoJgiAIgiAIgiAIwk+hTj1BEARBEARBEARB+CnUqQdw7tw5XHXVVejTpw+ys7MxYcIEFBQUAADKy8txySWXoHfv3sjMzMSPP/5ov27BggVIT0+H1WrFxx9/7BDm5s2bMXz4cAwcOBB9+/bFc889pxh/bW0tpk2bhrS0NPTp0werV6+2//bQQw8hKysLOTk5yMnJwQcffKAYjqtzXcXBCjPrLrBnzx5ERETgnnvuUQxn3bp1yM3Nhc1mczqvrKwMU6ZMwYABA9C3b1+8/PLLbnXxNWbWPS8vD927d7fb8P333+9ROAcOHMCECROQnZ2N/v37Y+XKlVpl8gntRfu//e1vyMjIQHZ2NgYPHoyvv/7a/hvZvDPufM3rr7+Ovn37IisrC9nZ2Th37pxsOEuWLEFWVhaCg4OddD1w4ADGjRuHnJwcZGRk4L777kNLS4sGlfTHzLpPnjzZbus5OTmwWq349NNPZcNpaWnBnXfeifPOOw9paWlYtGiR/beKigpcfvnldnufNWsW6urqPJFLV9qL9q+++ioyMzORlZWFAQMG4L333rP/VldXh5kzZyIzMxOZmZm44oorUFFR4YlcumFm3bX4CFftmttvv93h/oWFheHVV1/VqJT+mF17tW2S/2fvzuOiqP8/gL/2gF1A7kOQyxBBEAXPr1dmWmmpdFhaZl4dllr96ttlpoblUd/8aqWVlmllh2ZZaX0ttfIoK8k8MQURQblR7mVh2c/vj3XGmb04YvkA+3764CE7OzvzmdfMfnY/zGc+Y6++AYAvvvgCvXr1Eo/7rKysJqTU8jpK7vbqGgDYu3cvBgwYgJ49eyI+Ph4HDx5sSkytgxGm0+nYt99+y4xGI2OMsTfffJNdd911jDHGZsyYwRYtWsQYY+yPP/5goaGhrLa2ljHG2O+//87Onj3LrrvuOrZt2zbZMhMTE9nXX3/NGGOspKSEBQYGspMnT1pdf0pKCps2bRpjjLHMzEwWGBjIiouLGWOMXb58WZzvwoULzNPTkxUVFVldjr157a2Dl7acO2OM1dbWsmHDhrHJkyezxx9/3OZ2nD59mh05coTNnz/fYr7Jkyez+fPnM8YYq6ysZImJieyPP/5oKBqHasu5T5s2ja1cubJR22FvOUOGDGHvvvsuY4yxwsJCFhERwS5cuNCo5TpSR8n+u+++Y9XV1Ywxxo4cOcK8vLxYZWUlY4yOeWvs5f7VV1+xIUOGsNLSUsaY6Xg1GAxWl3PkyBGWlpbG7rvvPot9deutt7LXX39d3N6EhAT27bffNi4gB2nLuUsdOnSI+fv7M71eb3U5H3zwARs5ciQzGAyspKSERUREsBMnTjDGGHv88cfZE088wRhjzGAwsNGjR7M1a9Y0LiAH6ijZ7969W3xvZGdnM39/f5aRkcEYY2zlypVswoQJ4jY+8MAD7Omnn25EOo7TlnNvSh1h73uNVF5eHtNqtSwvL89uLq2hLWfflO8k9uqbw4cPs9jYWHbx4kXGGGPl5eWsqqqqiUm1rI6Su7265uLFiywyMpKlpaUxxhirqamRtbnaCjpTD0Cr1eKWW26BQqEAAAwaNEj8y9eWLVvw8MMPAwAGDBiALl26YO/evQCAgQMHIioqyuoyFQoFSktLAQBVVVVwdXWFn5+f1Xk3b94sruOaa67BiBEjsG3bNgCAj4+POF9lZSUYYzb/smpvXnvr4KUt5w4Aixcvxl133YXu3bvb3Q7hr5NqtdriuaNHj+KWW24BAHh4eGD48OH46KOP7C7P0dp67o1lbznS3AMDA5GYmNgmztZ3lOxvvvlmuLm5AQB69eoFxph4hoyOeUv2cv/Pf/6DRYsWwdvbG4DpeFWpVFaXk5iYiLi4OCiVlh/dCoUCZWVlAExnMOvq6hASEmI3F0dry7lLrV+/HlOmTIGrq6vN5Tz44INQqVTw8/PDpEmT8Omnn4rlqaiogNFoRG1tLaqrqxEWFtaIdByro2Q/atQo8b0RHh6O4OBg5OTkiOWprq5GXV0dDAYDKisruWfflnNvSh1h73uN1AcffIDRo0cjODjY7nytoS1n35TvJPbqmxUrVuDJJ59Ely5dAACenp5wd3dvdEaO0FFyt1fXvPXWW5g8eTLi4uIAABqNRtbmaiuoUW/F66+/jltvvRUlJSWoq6uTVVZdu3ZFdnZ2g8vYsGEDFixYgIiICMTExGDp0qU2K73s7GxERkbaXMcbb7yB2NhY9O3bF+vWrUNQUJDN9dqat6F1tAVtKffff/8dBw8exKOPPvqPtqlfv3745JNPYDQaUVRUhO+//557VylzbSl3oTy9e/fGuHHjcOTIEZvrtLecfv36iV2nMjMz8euvv7a53IH2m735+qOiosTl0jFvyV7uaWlpSE1NxdChQ9G/f/9md2NdtWoVPv/8c3Tp0gVdunTB1KlT0adPn2Yty1HaUu4CnU6HTz/9FPfff7/NddpbzoIFC5CRkYHg4GAEBQUhLi4OycnJDW5Ha2uv2Uvt3r0bly9fxoABAwAAs2bNgqenJ4KCgtC5c2eUlZVh7ty5jVpWa2lLuTuijnj//fcbvf9aW1vKvinfSRr6vMjOzsZ1112HPn36YMGCBaivr29wO1pTe81dyryuSUtLg06nww033ICkpCQ8+uijqKqqanA5rY0a9WaWLl2KjIwMLFu27B8tZ/ny5Vi2bBmys7Nx8uRJzJ8/H2lpac1a1mOPPYbTp0/j119/xdKlS1FSUtIi87YlbSn36upqzJ49G++++674l8fmWrFiBSorK9GnTx9MnjwZI0aMaPAv362pLeUOAEuWLMHZs2dx7Ngx3H///bj55ptRWVnZ5OV88MEH+P3335GUlIQnnngCo0aNalO5Ax0j+z179iAlJQWbN28W3yt0zDeNwWDAuXPnsG/fPuzcuRNr167Fjh07mryct956C/fccw9yc3Nx/vx5fPzxx9i1a1eTl+MobS13wdatWxETE4NevXo16/WfffYZ4uPjkZeXh9zcXJw5cwbvvfdes8vjCB0h++PHj2PGjBnYvHkzPDw8AAA//PADjEYj8vPzkZeXBx8fHyxcuLDZ5WlpbS33lq4j9u/fj4qKCvFMaFvS1rJvqe8kBoMBf/31F3bu3IkDBw7g119/xdtvv93k5ThKR8jdWl1jMBiwb98+fP755zh06BAuX76MRYsWNWvbHIka9RKvvfYavvzyS/zvf/+Du7s7/P39oVarkZ+fL86TlZWFiIgIu8spLi7Gtm3bMHnyZABAVFQUBg0ahF9++QVpaWni4CJz5swBAEREROD8+fMNriMxMRGhoaH4+eefrS7H1rxNWQcPbS33s2fPIjs7G9dffz26du2KVatW4f3338e0adNQWloqLuf2229vcNsCAgKwceNGHD16FLt27YJCoUDPnj2bE1OLa2u5A0BoaKjYtfj222+Hl5cXTp8+3eTldO3aFV988QWOHDmCr7/+GmVlZW0md6D9Zw+YBo2ZMWMGtm/fjtjYWHE6HfNNyz0iIgL33HMPVCoVAgICcMstt+C3335rsI43t2bNGkybNg0AEBQUhFtuuUWs/3lri7kL1q9fLzvTaK2Ot7ect956C/feey9UKhU8PT1x55134qeffmpOTA7R3rMHTGfJxo0bh/fffx/Dhg0Tp69btw633347tFotXF1dce+997aZ7Nti7rbqiKZ+rxGsX78e06ZNs3m5EC9tMXtb30maWt9ERERgwoQJcHNzg4eHB+644w789ttvLZDaP9fecwds1zUREREYO3YsfH194eLignvuuafN5C7D+Zr+NmPFihWsb9++7NKlS7Lp06ZNkw3y0KVLF3GQB4H5IA8Gg4H5+vqyPXv2MMYYKyoqYuHh4ezXX3+1uu5FixZZDPIgDHAnHRgiIyODBQUFiQM1mLM3r7118NRWczefz95AMfbmKy4uFst9+PBh1rlzZ5abm9vgshytreaek5Mjznfw4EHm7+8vDlzSlOXk5+ez+vp6xhhjO3fuZOHh4eLAbrx1hOz37t3LwsPD2eHDhy2eo2Pekr3clyxZIg7uVV1dzfr378+2bNlid1usDWrYq1cvtn79esaYaYDCfv36sU8++cTuclpDW82dMcbS09OZh4cHKysrs7sNGzZssBi46tixY4wxxsaPH88WLFjAGDMNrjp+/Hi2dOlS+6G0ko6QfVpaGouMjGQ7d+60eO7RRx9l06ZNY0ajkRmNRvbII4+whx56yO7yWkNbzb05dYSt7z9lZWXMw8ODnTlzxu7rW1tbzb4p30ns1Tcff/wxmzRpEquvr2d1dXUsOTmZvfrqq40PyEE6Qu726ppffvmFDRs2jNXU1DDGGJszZw6bPXu2nUT4oEY9M32ZBcCioqJYYmIiS0xMZAMHDmSMmQ6IG2+8kUVHR7P4+Hj2448/iq976aWXWGhoKHN1dWX+/v4sNDSUFRYWMsYY27VrF+vbty/r3bs3i4uLYytWrLC5/srKSjZx4kQWFRXFunfvzjZv3iw+N3bsWBYfH88SExNZv3797H7ZszevvXXw0pZzl2qoUb97924WGhrKPD09WadOnVhoaKg4aud3333HoqOjWY8ePdiAAQPY3r17mxpTi2vLuY8aNYolJCSwxMRENmjQINn6m7Kcd999l3Xr1o3FxMSwESNGsOPHjzc7r5bUUbKPjo5mQUFB4jYkJiaKXzromLdkL3edTsemTp3K4uLiWHx8vNhAtGbDhg0sNDSUubu7M29vbxYaGir+YeXw4cNsyJAhrHfv3qxHjx7smWeeEUcj5qUt584YY/PmzWNTp05tcDsMBgObPXs2u+aaa1hUVBRbtWqV+FxmZia76aabWEJCAouLi2MzZ85kOp2uSTk5QkfJ/oYbbmA+Pj6yukb40l1SUsImTJjA4uPjWXx8PLvjjju4n6xoy7k3pY6w972GMcbWrl3Lhg8f/o+yamltOfumfCexV9/U19ezf//736xHjx6sZ8+e7OGHH7Z554jW0lFyt1fXMMbYq6++yuLi4lhCQgKbNGlSmxz9XsEYY7x6CRBCCCGEEEIIIaT56Jp6QgghhBBCCCGknaJGPSGEEEIIIYQQ0k5Ro54QQgghhBBCCGmnqFFPCCGEEEIIIYS0U9SoJ4QQQgghhBBC2ilq1BNCCCGEEEIIIe0UNeoJIYQQQgghhJB2ihr1hBBCCCGEEEJIO0WNekIIIYQQQgghpJ2iRj0hhBBCCCGEENJOUaOeEEIIIYQQQghpp6hRTwghhBBCCCGEtFPUqCeEEEIIIYQQQtopatQTQgghhBBCCCHtFDXqCSGEEEIIIYSQdooa9YQQQgghhBBCSDtFjXpCCCGEEEIIIaSdokY9IYQQQgghhBDSTlGjnhBCCCGEEEIIaaeoUU8IIYQQQgghhLRT1KgnhBBCCCGEEELaKWrUE0IIIYQQQggh7RQ16gkhhBBCCCGEkHaKGvWEEEIIIYQQQkg7RY16QgghhBBCCCGknaJGPSGEEEIIIYQQ0k5Ro54QQgghhBBCCGmnqFFPCCGEEEIIIYS0U9SoJ4QQQgghhBBC2ik17wLwZDQakZubC09PTygUCt7FIYQQQgghhBBCAACMMVRUVKBLly5QKm2fj3fqRn1ubi7Cw8N5F4MQQgghhBBCCLEqJycHYWFhNp936ka9p6cnAFNIXl5eXMpQVlYGb2/vRs1bXF2MbRnbcHv07QhwD3BwyTq2puTeHI3dVx1tnzZme8rKylDnUtci293R8nMkRx/zxDrKnR/Kng/K/arW/Iyi3Pmh7PlwltzLy8sRHh4utltt4dqof+yxx/DNN9/g/Pnz+Ouvv5CUlGR1vvXr12P58uUwGo0YOXIk3nrrLbi4uDT4XEOELvdeXl7cGvVFRUWNXveFugvYeHYjbo67mVt5O4qm5N4cjd1XHW2fNmZ7ioqKoHfXt8h2d7T8HMnRxzyxjnLnh7Lng3K/qjU/oyh3fih7Ppwt94YuFec6UN6dd96JAwcOIDIy0uY8586dw4IFC7B//35kZGSgoKAA69ata/C59kKn0/EuglOi3Pmh7Pmg3Pmg3Pmh7Pmg3Pmg3Pmh7Pmg3OW4NuqHDx9u99oAANi6dSuSk5MRHBwMhUKBhx9+GJ9++mmDz1mj1+tRXl4u++HN3h80zDEw2f+k+ZqSe3M0dl91tH3amO2JjIxsse3uaPk5kqOPeWId5c4PZc8H5X5Va35GUe78UPZ8UO5ybf6WdtnZ2bKd1rVrV2RnZzf4nDXLli2Dt7e3+NMWBsnLz89v1HwluhIs/305AGD578tRoitxZLE6vMbm3hyN3VcdbZ82dnv+zv67Rba7o+XnaI485oltlDs/lD0flLtJa39GUe78UPZ8UO5ybb5R35LmzZuHsrIy8ScnJ4d3kaDX6xuc5/us73Hb17fhfPl5jO46GufLz+O2r2/D91nft0IJO6bG5N4cjd1XHW2fNmW7H/vrsX+83R0tv9bgqGOe2Ee580PZ80G58/mMotz5oez5oNzl2vzo9xERETh79qz4OCsrCxEREQ0+Z41Go4FGo3FcYZshKiqqwXkySjMwIHgA5v9rPvzd/FGiK8GS35fgbOnZBl9LrGtM7s3R2H3V0fZpU7d70dBF/2i7O1p+rcFRxzyxj3Lnh7Lng3Ln8xlFufND2fNBucspGGPcL0bt2rUrvvrqK6uj32dmZmLYsGE4fPgwOnfujFtvvRU33XQT5s6da/e5xigvL4e3tzfKysq4jZ74999/o0ePHnbnMTIjlArLThW2ppOGNSb35mjsvupo+7Qp233m9BmL7Ju63R0tv9bgqGOe2Ee580PZ80G58/mMotz5oez5cJbcG9te5frtd9asWQgLC8OFCxcwevRoREdHAwAeeOABfPPNNwBMf4VJSUnB0KFDER0djcDAQMyaNavB59oLg8HQ4Dy2PgCo8dJ8jcm9ORq7rzraPm3KdlvLvqnb3dHyaw2OOuaJfZQ7P5Q9H5Q7n88oyp0fyp4Pyl2uTZyp56UtnKmvqamBVqvlsm5nRrnzQ9nzQbnzQbnzQ9nzQbnzQbnzQ9nz4Sy5t4sz9cR0eQFpfZQ7P5Q9H5Q7H5Q7P5Q9H5Q7H5Q7P5Q9H5S7HDXqOTMajbyL4JQod34oez4odz4od34oez4odz4od34oez4odznqfs+5+31dXR1cXFy4rNuZUe78UPZ8UO58UO78UPZ8UO58UO78UPZ8OEvu1P2+nTh9+jTvIjglyp0fyp4Pyp0Pyp0fyp4Pyp0Pyp0fyp4Pyl2OGvWEEEIIIYQQQkg7Rd3vqfu9U6Lc+aHs+aDc+aDc+aHs+aDc+aDc+aHs+XCW3Kn7fTtBXUf4oNz5oez5oNz5oNz5oez5oNz5oNz5oez5oNzlqFFPCCGEEEIIIYS0U9T9nrrfOyXKnR/Kng/KnQ/KnR/Kng/KnQ/KnR/Kng9nyZ2637cT1HWED8qdH8qeD8qdD8qdH8qeD8qdD8qdH8qeD8pdjhr1nCmVtAt4oNz5oez5oNz5oNz5oez5oNz5oNz5oez5oNzl/lH3+4qKCvGvJD169ECnTp1arGCtoS10v6+pqYFWq+WybmdGufND2fNBufNBufND2fNBufNBufND2fPhLLk7tPu90WjE448/Dn9/f9xwww0YNWoU/P398cQTT8CJL9FvloyMDN5FcEqUOz+UPR+UOx+UOz+UPR+UOx+UOz+UPR+Uu1yzGvWrV69Gamoqjh8/jtLSUpSVleHYsWNITU3F6tWrm7Ss9PR0DBkyBDExMRgwYABOnjxpMc+GDRuQlJQk/gQEBOCOO+4AAGRlZUGlUsmeP3v2bHM2iwu1Ws27CE6JcueHsueDcueDcueHsueDcueDcueHsueDcpdrVvf7f/3rX9i8eTO6du0qm56VlYVJkybh999/b/SyRo4cialTp2L69OnYunUrXnnlFRw6dMjuaxISEpCSkoIJEyYgKysLSUlJKC0tbepmtInu99XV1XB3d+eybmdGufND2fNBufNBufND2fNBufNBufND2fPhLLk7tPt9aWmpRYMeALp27YqysrJGL6ewsBCpqamYMmUKAGDChAnIycmx253i999/R2FhIZKTk5tcbr1ej/LyctkPb5mZmbyL4JQod34oez4odz4od34oez4odz4od34oez4od7lmNertDYjn4eHR6OXk5OQgJCRE7D6hUCgQERGB7Oxsm69Zv3497rvvPtl9CauqqjBgwAD07dsXixcvRn19vdXXLlu2DN7e3uJPeHh4o8vqKBqNhncRnBLlzg9lzwflzgflzg9lzwflzgflzg9lzwflLtesixFycnLw5JNPWkxnjOHChQv/uFC2VFVV4bPPPsNvv/0mTgsJCcHFixcRFBSES5cuYdKkSVixYgWeeeYZi9fPmzdPVu7y8nLuDfvg4GCu63dWlDs/lD0flDsflDs/lD0flDsflDs/lD0flLtcs87Uz5kzR3bGW/jx8fHB7NmzG72c8PBw5OXlwWAwADD9USA7OxsRERFW5//888/Rs2dPxMfHi9M0Gg2CgoIAAH5+fpg5cyb2799v9fUajQZeXl6yH97Onz/PuwhOiXLnh7Lng3Lng3Lnh7Lng3Lng3Lnh7Lng3KXa9aZ+kWLFrXIyoOCgtC3b19s2rQJ06dPxxdffIGwsDBER0dbnX/9+vW4//77ZdMKCwvh6+sLFxcX6PV6fPnll+jTp0+LlK81uLm58S6CU6Lc+aHs+aDc+aDc+aHs+aDc+aDc+aHs+aDc5ZrVqH/jjTdkjxUKBYKCgnDttdeiS5cuTVrW2rVrMX36dCxduhReXl7YsGEDAOCBBx5AcnKyOCDe6dOnceTIEXz33Xey1x84cAALFy6ESqWCwWDAyJEjMX/+/OZsFhcBAQG8i+CUKHd+KHs+KHc+KHd+KHs+KHc+KHd+KHs+KHe5ZjXq//rrL4tpxcXFePTRR7Fp0ybcdNNNjV5WbGwsDh48aDH9vffes5ivoqLCYr477rhDvGd9e5STkwNvb2/exXA6lDs/lD0flDsflDs/lD0flDsflDs/lD0flLtcsxr1wtl0c3///TemT5/epEa9s7N3JwHiOJQ7P5Q9H5Q7H5Q7P5Q9H5Q7H5Q7P5Q9H5S7XLMGyrOlR48eqK2tbclFdnhtYbA+Z0S580PZ80G580G580PZ80G580G580PZ80G5y7Voo76mpsbmPeKJdbm5ubyL4JQod34oez4odz4od34oez4odz4od34oez4od7lmdb//5ptvLKaVlJTgo48+woQJE/5xoZwJ/ZWJD8qdH8qeD8qdD8qdH8qeD8qdD8qdH8qeD8pdrlmN+pUrV8oeKxQKBAYGYsqUKZgxY0aLFMxZuLu78y6CU6Lc+aHs+aDc+aDc+aHs+aDc+aDc+aHs+aDc5ZrVqP/pp59sPmcwGKBWN2uxTik/P59uycAB5c4PZc8H5c4H5c4PZc8H5c4H5c4PZc8H5S7XYtfUp6Wl4cknn0RoaGhLLdIp+Pr68i6CU6Lc+aHs+aDc+aDc+aHs+aDc+aDc+aHs+aDc5f5Ro76yshLvvfceBg0ahD59+kCj0WD37t0tVTan4OLiwrsIToly54ey54Ny54Ny54ey54Ny54Ny54ey54Nyl2tWo/6XX37BzJkzER4ejp07d2LBggUICQnBsmXL0KtXr5YuY4dWWFjIuwhOiXLnh7Lng3Lng3Lnh7Lng3Lng3Lnh7Lng3KXa1aj/tprr8WFCxdw6tQpbN26FWPHjoVS2aJ3x3Ma/v7+vIvglCh3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3uWa1xNevXw+dTocBAwZg/vz5SE9Pb+lyEUIIIYQQQgghpAHNatTPmDED+/fvx+7du2EwGDB8+HDk5+fj3XffxeXLl1u6jB1aSUkJ7yI4JcqdH8qeD8qdD8qdH8qeD8qdD8qdH8qeD8pd7h/1mY+NjcUrr7yCCxcu4JNPPsH27dsRHh7eUmVzCkFBQbyL4JQod34oez4odz4od34oez4odz4od34oez4od7kWuRBepVLhtttuw7p16zB58uQmvTY9PR1DhgxBTEwMBgwYgJMnT1rM8/PPP8PNzQ1JSUnij06nE59fv349unfvjm7duuHBBx9EXV3dP96m1tKeytqRUO78UPZ8UO58UO78UPZ8UO58UO78UPZ8UO5yzWrUFxUVYe7cuRg/fjw+/vhj1NbW4rnnnkNMTAzq6+ubtKxZs2bhoYcewpkzZ/Dss89i+vTpVueLjY3FkSNHxB83NzcAwLlz57BgwQLs378fGRkZKCgowLp165qzWVzQ5Qp8UO78UPZ8UO58UO78UPZ8UO58UO78UPZ8UO5yzWrUP/jggygqKsLYsWPx6aefYuTIkdi9ezf27duH9evXN3o5hYWFSE1NxZQpUwAAEyZMQE5ODjIyMhq9jK1btyI5ORnBwcFQKBR4+OGH8emnn1qdV6/Xo7y8XPbDW3BwMO8iOCXKnR/Kng/KnQ/KnR/Kng/KnQ/KnR/Kng/KXU7dnBedOXMGaWlpAEyD5gUGBiI7Oxs+Pj5NWk5OTg5CQkKgVpuKoVAoEBERgezsbERHR8vmPXv2LPr27QuVSoUZM2Zg9uzZAIDs7GxERkaK83Xt2hXZ2dlW17ds2TKkpKQ0qYyOVl1dzbsIToly54ey54Ny54Ny54ey54Ny54Ny54ey54Nyl2tWo16r1Yq/azQaREdHN7lB3xR9+/bFhQsX4O3tjQsXLuCWW25BQEAAJk6c2KTlzJs3D08++aT4uLy8nPvAfm2ht4Azotz5oez5oNz5oNz5oez5oNz5oNz5oez5oNzlmtWov3DhgqxxbP74v//9b6OWEx4ejry8PBgMBqjVajDGkJ2djYiICNl8Xl5e4u9hYWG45557sH//fkycOBERERE4e/as+HxWVpbF6wUajQYajaZRZWstXbp04V0Ep0S580PZ80G580G580PZ80G580G580PZ80G5yzXrmvo5c+bA29tb/DF/3FhBQUHo27cvNm3aBAD44osvEBYWZtH1Pi8vD0ajEQBQUVGBHTt2oE+fPgBM1+F/8803yM/PB2MM77zzDu6+++7mbBYX9FcmPih3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3uWadqV+0aFGLFWDt2rWYPn06li5dCi8vL2zYsAEA8MADDyA5ORnJycn44osv8Pbbb0OtVsNgMOCuu+7CjBkzAABRUVFISUnB0KFDAQAjRozArFmzWqx8jlZZWcm7CE6JcueHsueDcueDcueHsueDcueDcueHsueDcpdTMMZYU1/00EMPibeN+/rrr3Hrrbe2eMFaQ3l5Oby9vVFWVibr4t+aysrKmtS7gbQMyp0fyp4Pyp0Pyp0fyp4Pyp0Pyp0fyp4PZ8m9se3VZnW/T01NFX9va6PJtzfFxcW8i+CUKHd+KHs+KHc+KHd+KHs+KHc+KHd+KHs+KHe5ZjXqpZpxop9I6HQ63kVwSpQ7P5Q9H5Q7H5Q7P5Q9H5Q7H5Q7P5Q9H5S7XLOuqdfpdDh+/DgYY6ipqRF/F/Tu3bvFCtjRRUZG8i6CU6Lc+aHs+aDc+aDc+aHs+aDc+aDc+aHs+aDc5ZrdqE9OThYfS39XKBTIzMz85yVzEvn5+fD09ORdDKdDufND2fNBufNBufND2fNBufNBufND2fNBucs1q1GflZXVqPn0en2buy98W6PX63kXwSlR7vxQ9nxQ7nxQ7vxQ9nxQ7nxQ7vxQ9nxQ7nL/+Jp6ewYPHuzIxXcIUVFRvIvglCh3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3OYc26mkQvYZlZ2fzLoJTotz5oez5oNz5oNz5oez5oNz5oNz5oez5oNzlHNqoVygUjlx8h2AwGHgXwSlR7vxQ9nxQ7nxQ7vxQ9nxQ7nxQ7vxQ9nxQ7nIObdSThkVHR/MuglOi3Pmh7Pmg3Pmg3Pmh7Pmg3Pmg3Pmh7Pmg3OWo+z1ndKcAPih3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3OYc26gcNGuTIxXcIRqORdxGcEuXOD2XPB+XOB+XOD2XPB+XOB+XOD2XPB+Uup2DNOJ2ekpKCF154ASqVSja9sLAQs2bNwrZt21qsgI5UXl4Ob29vlJWVwcvLi0sZ6urq4OLiwmXdzoxy54ey54Ny54Ny54ey54Ny54Ny54ey58NZcm9se7VZZ+pPnjyJgQMH4uTJk+K0Tz75BImJiejXr19zFum0Tp8+zbsIToly54ey54Ny54Ny54ey54Ny54Ny54ey54Nyl1M350VbtmzBxx9/jBtvvBGPPPIIjhw5gqysLHz//ffo3bt3S5eREEIIIYQQQgghVjSr+71g9erVeOyxxxAeHo6//voLfn5+TV5Geno6pk2bhuLiYnh7e2Pjxo3o2bOnbJ4ff/wRzz33HCorK6FQKDB27FgsX74cSqUSWVlZ6NatG3r16iXO/8UXX6Bbt24Nrpu63zsvyp0fyp4Pyp0Pyp0fyp4Pyp0Pyp0fyp4PZ8ndod3vy8vLcd999+Hdd9/Fr7/+ikmTJqF///7YvXt3k5c1a9YsPPTQQzhz5gyeffZZTJ8+3WIeX19ffPbZZ0hLS8Off/6JX3/9FR9++KH4vKenJ44cOSL+NKZB31ZQ1xE+KHd+KHs+KHc+KHd+KHs+KHc+KHd+KHs+KHe5ZjXqe/XqhfDwcKSmpmLQoEF49dVX8dFHH2H27Nl45JFHGr2cwsJCpKamYsqUKQCACRMmICcnBxkZGbL5+vTpg6ioKACAVqtFUlISsrKymlxuvV6P8vJy2Q8hhBBCCCGEENJeNatRv2XLFixdulTW5WHo0KH466+/LEbEtycnJwchISFQq02X9isUCkRERCA7O9vma/Lz87F161aMGzdOnFZVVYUBAwagb9++WLx4Merr662+dtmyZfD29hZ/wsPDG11WR4mNjeVdBKdEufND2fNBufNBufND2fNBufNBufND2fNBucs1q1G/atUqq9M9PDywevXqf1Ieu8rLyzF+/Hg888wz6N+/PwAgJCQEFy9exKFDh7B7927s378fK1assPr6efPmoaysTPzJyclxWFkbi7qO8EG580PZ80G580G580PZ80G580G580PZ80G5yzWrUd9SIYaHhyMvLw8GgwEAwBhDdnY2IiIiLOatqKjAmDFjcOutt+LJJ58Up2s0GgQFBQEA/Pz8MHPmTOzfv9/q+jQaDby8vGQ/vCmVzdoF5B+i3Pmh7Pmg3Pmg3Pmh7Pmg3Pmg3Pmh7Pmg3OW4phEUFIS+ffti06ZNAEyj1oeFhSE6Olo2X2VlJcaMGYMxY8bghRdekD1XWFiIuro6AKZr5r/88kv06dOndTagBQhjBZDWRbnzQ9nzQbnzQbnzQ9nzQbnzQbnzQ9nzQbnLNatRf+zYMfj5+Vn8+Pr6Nvm2dmvXrsXatWsRExOD5cuXY8OGDQCABx54AN988w0A4PXXX8cff/yBL7/8EklJSUhKSsKSJUsAAAcOHECfPn2QmJiIvn37Ijg4GPPnz2/OZnFhPiggaR2UOz+UPR+UOx+UOz+UPR+UOx+UOz+UPR+Uu5y6OS+KjY3Fd9991yIFiI2NxcGDBy2mv/fee+Lv8+fPt9lQv+OOO3DHHXe0SFl4EAYJJK2LcueHsueDcueDcueHsueDcueDcueHsueDcpdrVhoajQaRkZEtXRanZG38AOJ4lDs/lD0flDsflDs/lD0flDsflDs/lD0flLtcs7rfM8ZauhxOKzMzk3cRnBLlzg9lzwflzgflzg9lzwflzgflzg9lzwflLtesRv1ff/3V0uVwWhqNhncRnBLlzg9lzwflzgflzg9lzwflzgflzg9lzwflLkf3AuAsODiYdxGcEuXOD2XPB+XOB+XOD2XPB+XOB+XOD2XPB+UuR416zs6fP8+7CE6JcueHsueDcueDcueHsueDcueDcueHsueDcpejRj1nbm5uvIvglCh3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3OWrUcxYQEMC7CE6JcueHsueDcueDcueHsueDcueDcueHsueDcpejRj1nOTk5vIvglCh3fih7Pih3Pih3fih7Pih3Pih3fih7Pih3OWrUc9apUyfeRXBKlDs/lD0flDsflDs/lD0flDsflDs/lD0flLscNeo58/Ly4l0Ep0S580PZ80G580G580PZ80G580G580PZ80G5y1GjnrPc3FzeRXBKlDs/lD0flDsflDs/lD0flDsflDs/lD0flLscNeo5o78y8UG580PZ80G580G580PZ80G580G580PZ80G5y6l5F8DZubu7N2q+v0v+xku/vYQgtyAU6goxN2kufjj/A44UHYECCiQFJmFi7ET8mPMj7oq5C4HugQCAouoifH7mc9wVcxcA4PMzn6NPYB+sPLwSCiiQMiQFPfx7iPP1CeyDdcfXYWLMRGw6tQmxvrF4JOkRBLoHivOMDB+J7ZnbAQDjo8bjnaPv4GDeQbw4+EXcHHWzxXqFskgVVRdh48mNAIBhXYZh3fF1eKjXQ/ir6C/xNX+X/I2Fvy6UlfPvkr/xyqFXZPMK2zUyfKS4/QDw1pG3cObyGSwYtEDcxo0nN6K6rho1NTXQXtCa9oGLO6b3nG41M6EcL/32kpiFsOyTJSfRzbsb/Nz8ML3ndJToSmTzmS/PPDdpWYX1lehK8MqhV/DsgGfRw7+HRWbS7ZRur3T/SB8LGQvbd/DiQbzwywsYGDwQT/Z/Utw+W+u0tn5rx5d59ublkD7WKXV468hbFsfkq6mvori6GIHugVg6bKnsuLS1LGHfRHhGQKvWimUV9ikArEhdgUP5h/Dy0JcxOHSwze2xlldjtznjcobdXP3d/MXjcW7SXPxV9JfseJAef7bKJn0fC+VM8E/Aa6mvIdY3FsU1xejm3U2WgzSL3LpcLNq5yGI/S+uWi1UX0c27G3QGHY4UHUGfwD7w0fpAZ9AhsywTCf4JsmPb/PhYkboCv+b+igC3ANk+lOZqfnwAsDgurc0jraNWH1mNWN9Ysc6TvifMM7W2X63lbG+dTTlGzMsZ6RaJJwKesJqZeX5C/SQ9fu3Vo9Iy2juerG2veZ3+Y86PYpmFzxmh7rSWla1MpdtSoiuRHTfC9gifM7bqnIMXD2LRwUVIGZxi8z2bcTnDYh7hM6PGUAM3tRueiH8CEYiwmtXm05txsuQkEvwTrH52Spcn/Qwy30bA9BkmHJPW3h/SeYW63/zzwNq+M99fBy8exLwD8+Cn9RPfX0I5pXW4tXre2vLMX9fQ57awDOHzT9iv0vpvWs9p2HFhB3oaeuK11NfQO6A3unh2wfio8dh8ejNSC1JRri/HkC5D8GT/Jy0+N6XHlq1cbH0mSz/vbe2/pmyzvbz83fztvq6hOs9arubvY1+NL1b/tRqhnqFYcd0KcZ226jt3d3e79Z2tdTam/pPup4mxE7H59Gbx8+xA7gGL9QnHifk85vvUfL1CxhNjJmLLmS0Y2mUo1p9Yj4WDFuLmqJttfg+6xusa8Xjz0foAMH32mX/XaiibxuxzaX0p1GMB7gFWjy2hHsypyMGUuCnYdGoTvF29caLkhPg56e/mb/F92NrntPS7r7XPQel3X+n3U2kGDX3HlL73hH0s/Q5tfoyY17nmbYqG2gAluhKcvnwarkpXTO85HZtObUKEZ4RY7u2Z21FdVy3uz+k9p4t1/xN9n8C+rH04cugIiquLMSxsGJ7/1/MWn/HSz1Vr9W9D75P2hHujPj09HdOmTUNxcTG8vb2xceNG9OzZ02K+9evXY/ny5TAajRg5ciTeeustuLi4NPhcW5efn9+oWzJklGXgWPEx8fGxkmPYmr5VfJxemo6+wX3x9tG3MSJ8xNWKVVckTgOAt4++jbl95uLUpVPicnv49xDnm9tnLlILUhHlE4VjxcdwrPgY7oy90/QF8Mo8EV4R+DDtQwBAnH8c9uTsAQCkFqZebdRL1mv1Da0rEpfhpfFCakEqBnUZJHtNRlmGRTkzyjIs5hW2K8IrQjZNyEe6jcI6zY2NGms1M6Ec0iykyxbKNzZqLDLLMi0yky7PPDfz8o8IH4HMskykFqSKZTbPTLqd0u2V7h/pY2F9wvYdKzmGQl0hdpzbgft63idun611Wlu/tePLPHt75TqTewZvn7I8JjNKMwAApbWlFselrWVJ9421fQoA3577FoDpPSNrIDQir8Zuc0O5GmEUj5ljJccsjgfp8WerbNJ8hddNjJ2IQl0hCnWFsuPRWhZHLhyxup/N6xbpMnbn7JYt59SlU7JjW6pIVyRmfVl/2er7Ttgn5pma52dtHmkdJexzoc6Tvies7cPG5GxvnU05RizKiWOYkjil4Ua9Wf1kKytrr2voeLK2veZ1urTMAumxYusYtLYu820Rjhthe4TPGVt1zrGSY8iryrP7nrU2j/QzAwCOXDiCQd0GWc1KWodb++w0X555Wc0/w6zV/dbmFep+888Da3ma769jJcdQUlOCkpoSWXnM63Br9ZG15Zm/rqHPbWEZ0uzujL1Ttr6hYUPxQfoHmKg01U1CHRLnHyf7ziKUzfxzE0CDudj7TDbPxdZ3iMZss728jDDafV1DdZ61XM2Pi38F/wv1qEd2RbZsnbbqO2O+EcoQZYP1gLXts1ZG6fPS/dQ3uK/s88zWsWttHvN9ar5eIeMonyikFqRCpVChsq5S/H5p63uQ8Flo/pll/l2rqXWktX0urS+F5wzVBmS5Z1kcW9J6MLUwVVa/Cp+TRhgtvg9b+5yWfve19jlo/t1XOPalGTT0HVO6n6x9hzY/Rszr3MbWJda+jwv5CBlJjxXB2KixYt2fWpiKHTk7xOd2Z+/Gg70ftPiMly7DWv3b0PukPeHe/X7WrFl46KGHcObMGTz77LOYPn26xTznzp3DggULsH//fmRkZKCgoADr1q1r8Ln2wNfXl3cRCGlVnp6evIvglDw8PHgXgZBWRcc8cSb0fZIfyp60BVwb9YWFhUhNTcWUKVMAABMmTEBOTg4yMjJk823duhXJyckIDg6GQqHAww8/jE8//bTB58zp9XqUl5fLfnhrbI8Cxpjdx9JpDFefE35nV/6Zv9b8NeJjZn0Ztl7f0GssygorZbBRFqvzMNvbJZ1mbbkNlsfe9potWzbdyvY3uD3S8kuWYXX/2thHFuW1kr2tbbG2PFsas1zz7bH2v1qttpzXxvHd0LLsldnWcWBre+weAw1tcwO52jvezZff0Hbb2yZbGBiUKqXV1zR2GbbKamu6rfrIaqY23mONfh81ot6yWkYruTb5OGjEsWmv7rFXtobq0aaur6Gy2js2bB6DVtZls45sYH3m67X3nrW6z83mF455i9c3UN9YW56tsljM10AeDZW70Z9FTXwf2FuerfrWGqvHqZ2yWCuvzdfaqd8aU19YPNfI7xDWtsvac9bq9Ab3dwu9j2XrtLGfXVxcGnxv2tq+huq4pnzvs1Z2W/M3+phs4Ltqg3VJI+ot8202X769dbu4uNgsu7Vtl05rqH5oaHttbaPV5xvxHdPe8u3N19C8ttbV0LLMX9fYbbD6uBHfv9ozBWvqN7oW9Oeff2Ly5Mk4ffq0OG3gwIFYvnw5Ro4cKU579NFH0aVLF8ybNw8AkJaWhjFjxiA7O9vuc+ZefPFFpKSkWEwvKyvjNtjCiRMnkJCQYHeejMsZuPfbe1FdX213PjeVG3T1OiQFJmHV9asAAP/30//hSNER9PTvCQUUOFFywuI1b93wFl4//DqOFB2BEkoYYZTN08O3B5ZduwwpB1NwpOgI3FXuYllc4Ypa1Irzvj7idSQGJYrrFcri7+YvzlOiK8GcPXNwsuQkAIjrFP5PCkzC430fx+xds6Ez6sRyLr92OZ4/8DyqDFXivNLt8lB7oMpQhZ7+PaE36JFRZvrjkLvaHWtGrcFrqa+J6zSX4J+A1aNWyzITyjFn9xxxe6O9o037pEz+h6do72hcrLwIXb1OzOydG9+RLU+am7vaHdWGaln5Y31jkVORg2pDNTzUHth0yyZE+0aLmQnLEbZT+D8pMAmLBi8S94/w+IVfXhC3N8E/AQ/2ehD/9/P/iRVYtE805v9rPubumSsuT7pOKen6rR1f0uyF7bFVrmf3PIszVWdsHpMAoFVp8fYNb4vHpbVlme8bcz18e6DGUIOsiizxOFs/ej36B/e32B5reb009CXZ+mxtczfvbsgsy7SZq7vKHUHuQbJyGGGUHQ/C8efv5m+1bEI5evr3RL2xHn9f/tvqNtsS7R2NnIoc6I162X5ubN1inus7N75j8Z6+//v7cbbsrDhN2IfS910P3x5QK9Xi8bHq+lU4V3YOM7+fKebX1asrOrl0ks0jzV0BhTivUOcJ+8I805eGvmSxX63lbH7cmq+zsceIdF9Jy2ktMynzOtFWVuavl26DrePJ2rzmZRXyk5YZMNVTH9/yMXy1vrKspMeg+bqsbQtgOga1ai1OlJwQ3wPW6pzU/FTc//394meCtfdsN+9uOFd2TjaPj8YHk3dMFj8zAECj1OCzcZ8h2jda9no3pZtsPvPPTn83f2RczpAtz03lhk/GfiIuS7qN9va1+bxC3S/dX8L6pXmaH38zes7A4z8/LpZZq9Li07GmExhTvpsi1uHzBs7Dgl8XyOqj9256z2J5j/d9XFb3rx61Wlbf2jreZu2ahdOXr35nC/cIx4WqC+L6tCotauprYE6r1KLGKJ8e3ikcxbpicdujvaOhVqrFY8taLpdrLsvqLPPPZOGYBWCx/6TfIRraZvP3izQvd5U7Irwi8Pflv62+Trq//8n7WMpF4YJuPt3w9+W/bdZ3UztPxQcFH1it78w1pf6L9Y1Fdnm2uC80Cg30TA9AfuxLj13pcWKtzraWjTRja14e8jK2pm+1+j3IFul3LXv1lnkm9va5sE5pPfZwxMN4J/sd2bFl7zunQKPUINwzXDx+rdWNGZczxPe48Ly1TM2/+5pn0NB3TOlxK32/Ct+hzd8rl2suW9S55m2KxrQBbJEeK4Kunl2RXZFt0U4RXON1DTaM2SB+xpuvx1r9a+990laUl5fD29u7wfaqUzXq9Xo99Hq9+Li8vBzh4eFcG/V5eXkICQmx+fyrh17FR2kfNXp5SoUSbmo38a9QGpUGEV4ROFZ0zO5fo5QKJYzM+ptEoFFpYDAaUM/q7c6nUqjg5eqFgSED8UfeH2BgeGHQCxjddTS+z/oeC39ZCJ1BBwUUVt+YDZXF/IunsE4jM0KpUMrKZ21eW1yVrlAr1dCoNBgYMhA/Z/8MvdHyg8se6XxqpRquSlcooEBNfY1FbtLK2d/NH8W6YgCAt8Yb5XpTL5Ip8VOQGJiIl397GXX1dag11qLOWCcuw0XpAqVCidr6Wri7uGNY6DAcuHBA/JBzUZp6gkhfY02wezAKqgvEdT4z4Bnxue+zvsfLv70MBRTiPtXXX82l1lgLg9EgZq+AAr0DeyPjcoap8pSUq9pQDTeVG7r7dW/wmARMx9yI8BHia4VlSfdNU8X5xSGvKk/cHnt5ebh4YFjoMJvbDNj/K6+Pqw9Ka0vtlkc4dt3UbpgQMwHbz26XlU3Y7mifaBwtOtqsbRZIj60efj1sXoPfEI1KgyXDlojv6ef2PQcDM9ic30XpAiMziu+BxMBEZJdno6K2wubrhHmE3OuN9Y3e5yqFSvZ+E/arwWiwyFmoHwGgd2Bv2TqFuqAxx4iwr1RKlXhs2MpMSqgTqw3W/7Ai5CCtR4XXCfWCtH6RHk+Lhy4W95H0PSyU1VXlCiMzNlg/aFQauKtNX2qFY1ClUEGpUIqZLh66GADsbouUUFcqoBDrnDl75mDfhX0A5I1D6XtWpVSJdaWL0qXBsgPA8LDhOFZ0DHX1ddAZdDY/d9zUbnBRuqB3YG+xHNaWlZqfavczTNjXQh46g87is8kaYd+5KF1kn0V7zu+x+/5SQIHO7p2RX51v9XmlQgmtSmv1sy3YPVh8nVDfmn9uA6bj7fn9z6PWWGt1Hf+E+eer+ckFIReVQiXmYO0zubGf0w1tMwDZ+0Wal7ROj/SKRLm+XPY6YX+rlWqrdV5j38e2WPt+1FB9J9QDAml90FD956Xxwvny8w1mqlQoTWesr9T19o5XQL6PEwMT8XfJ342q35VQQqVUNep9b21d1uota3WkrX1unr/5MSc9tppLWjf28OuBvy/9LT62dXw3dOxLn7f2HdNWPSV9nfS9UlVXZbcusFWXNPR51xJUChUmx03GF2e+aHA91j4v26LGNuq5dr8PDw9HXl4eDIYrX44ZQ3Z2NiIiImTzRURE4Pz5q5VKVlaWOI+958xpNBp4eXnJftq6tJI0uKvd4eniiQC3AIyOlB9wnVw6IcQ9xFTRQQVvV2/c2f1OBHsEI9gjGNtu3YbBXQbj2rBr4e3qDSWU8NX4YnDIYEyMmQitSgsFFHBTuSHIPQgxvjFQKVTo7N4ZAW4BiPePF7/o9PDtgUivSAwOGYxIz0gooAAABLkFYVr8NCQGJIrl2nbrNrx23WvYdus2DAgegLOlpjN4GaUZCPYIxrVh16JXQC8EuAUgxD0EHmoPJEclI8g9CG4qN7FM25K3YVvyNqgUKgBAgFsAboi8ARtGb4C72h3ert6I9IxEpFckvkz+EpFekdAoNXBVumJizET8NPEnhHUKgwIKaJQaRHhGIKxTGDRKDdxUbgjzCDO93jMS7i7uYmavXfcaevj1gEqhQlinMPw08SdMjJkobp+niycGhwxG/6D+Yg5uKjdMjZ+KbcnbEOAWALVCjWCPYNwZc6cst0hP0+9eGi9EekZieNhwuChdEOAWgMEhgzG5x2R8mfwlAt0DcarkFDJKMzAgeADujLkTI8JHYGLMRAS5B2FizESMCB+BHr49EOgeiDu734nXrnsNd8bcCXe1OyI9I7Hrzl3YdecuaJQaAECIRwh+nvgzNozeIG7LxJiJ2HXXLtk6pYT1S/epcHwJZRKyF7ZnSJchuDPmTotyBboH4pawW2THpMBF6YLRkaPho/ERp/Xw6yF7rbAsYd94ungiwjMCIR6m94BaoUaYR5hsuclRyfh54s/oH9QfKoUKORU5su2xllekZyQ81B7i+mxts6vK9EcbX40vpsVPs8j17ri74eniCQUUCHALwPCw4QhxD4ECCni6euK6sOswJW4KhocNR7BHMNJK0izKJmz34C6DEeEZgQC3AHioPcT3vAIKuKndZPtMeP+EeZiOdZVChWC3YNmxlVORI9Ytbmo3dHbrbLEM4dhWQIEwjzCEeYTBXeUOd7W77D2tUpren74aX2wYvQH9g/qLy/F29cauO3dhStwUBLgFINIzEkO6DMG2W7dBpTSVv3/n/vh54s9I7pYsvleFeYTce/j1gLvaHf0790ekZyTCOoVBq9LCRemCeL94uKvdEdYpTMw00jMSLgoX2X61lrNwLArHrXSdTTlGhH3lr/EXy3ld2HUYFzYOAW4BsszM31/BHsGI8IzA8LDh2Ja8zVQfXVmfUCZpPSp9X0rrF/PjSbqPrB1XPXx7YET4CMT7xUOlUMFF6QJXpStGR45GgFsAPF084aJwgbvaXcxKOAanxE2RZXq29Ky4LV6uXnBTu6F/5/4YHDIYni6eUF3556H2wIbRG3BD5A2YGDNRVuekX06HRqXBhtEbcGjKIWwYvQEalUb2nhXK2D+oPx7o9QA2jN4gHqcqhQp+Wj+8PuJ1+Gn9oIQSLkoXpF9OF7Py0nhBq9LCT+uHeL94+Gn94KZ0Ez87BwQPQPrldKgVavhp/cTPID+tn7gs6WeYm9oNvhpfRHpGYmLMRNm+ln7eCfslrFMYXBQuCOtk+uzxdvWGn9YPkZ6R4jzmn0X+WtMZJK1Ki23J27Bh9Aa4KFzEevPL5C+x665dCNCaBt3t5NJJrOeFPyybf7ZpVBqx7p8YMxEalUasb20db+4u7nBTu2FwyGBsS94GV6WrmHtiQCL6d776vvdQeyDALQDdvLvJjvfO7p1ln5sKKDA1fiomxkwU6/BeAb1MI2Cb5aJSquCicMHgkMGyz2QFFOLn/eCQwVBe+Wor3X/Cd4h4//gGt9n8/SLN6+64uzE4ZDAC3AIQ6BZo8Tphf9uq8xrzPpYez8J3FGl9OjFmotX6Tq1QW63vzOsd6fY1VP8FuAXATe0GP60fEgMSxc8zV6UrvF294avxhbvKHb0CeonHrkqpQoBbACbGTESEZwR8Nb5QK9TQKDXiPhW+/wnZCBkHaAMQ5B4Ercp0F5cwjzAEuQeJ3wuUCqXse5Cbyk083tzUbvBQe0ABBZRQmjLyCIOXxgvert426y1rdaS1fe6mNtUT8X7x0Kg0SI5Kxg2RNyBAGwAFFLJjS6Uw1XcBbgGI8Y0Rj0lhv/pofMT3sPT90j+oP67xvkasG3MqchDoHoiJMRNxQ+QNiPGNEd/jwuegn9YPGpUGGqUGSijF76ch7iFQwfQ9yVXlCne1u83vmNJ6ysvVCy5KF4R5hGFq/FSEdQqDSqGSvVfcXdxN30HM6lzhe4OtukT6GaFWqOGr8UUndScxBwUUYt2tgML0na5TGAaHDIYKpvdwJ3UnaFQa8TVqhRr9g/pDg6vT0krSZJ+rQt0sfKZJ3zu23iftEdcz9QAwYsQITJ8+HdOnT8fWrVuxfPlypKamyubJzMzEsGHDcPjwYXTu3Bm33norbrrpJsydO9fucw0pKyuDj48PcnJyuDXw09LSEB8fb/N54QyokRnFv/wamREGowFqpenaZKXCVFkIfz0UHgu/C2ewDUYDjMwIV5WrbH5heVq1Vlyf8Frp+oVpwuMaQw3cXdxlzxmMBnFZUkIZzOcVtkla3hpDDdRKtbguIQdhOdLyC8uVbqvBaBDPQAnThB8hM2u5C/NL12m+bOk6hWXV1pv+Wmm+P2rra8Vp0mWYZyucaZdul3kZpPvR/H9pjuZ/RZaWRViOdNlCJtJjRnpsmZdHOs18HdJtM/9d+v+JkycQHx8vO17USrVsG4RMhZytbbP0sXlZpceBeRlr62tlx6e9bWlompCrtIzSXIXXqZVqcR8LxxAAi22Tvs58e6TrrjHUiMuSTheOOelyhHyFY14ou3QZ5u8za/vQWrmkWUvfE8KyrO1b6XKl+UmXK2yHdH7zdZrvP/P3qvlrpPOb7x/pPjYvY2OPB2tlB4ATJ08goWeC7L0s1dCyzac3pqy23oPm+0/YP0LZzOtOaY8DaV1tvkzz8tqqS4X3gHlZhXJI60GpGkON+J61VlcajAZxuvQYPHbiGOLj48XPDWn9bV53SqebH5cC8zrTvH4WspF+dpjnZf65Jf1sN3+9vfobAKrrqmXbbO39L+Qnzd3aZ4Y0D/P9KPxuvl+FckmPkdr6Wpw4eQK9E3qLx5Z0H0ozlr5Ouk4hh8bUF+bzC+UyMqOsnrd2LNvaZmF50tea7yPpdOnrpM839B61NU91XbWpp5/kmFUr1aisrRQzlK5LeK1Q15i/1823x9r6bZVFeiwKGQr7WfrZJ5RR+j3TfDnm70Nppuafk8LxYl43CLcmE8pq/jkmLEeYLs1Aut/NszGvI63tc1uf3bX1tcg4nYGYHjGy1wjfNaT1n5ClNENhucLxKl2nkIO97z7S95P0/S/NVlpvmX/mm392mr9eetxIv1cIy5G+f6R1gr3vMtIczXu2SY8lab0n3dfCj5C7dLqw78y3S3oMS+sXa+/RtkboWV5aWgpvb2/bMzLO/v77bzZo0CDWvXt31q9fP3bs2DHGGGP3338/+/rrr8X51q1bx6KiolhUVBSbOXMmq62tbdRz9uTk5DAA9EM/9EM/9EM/9EM/9EM/9EM/9EM/bfInJyfHbruW+5l6noxGI3Jzc+Hp6QmFQtHq6xf+8sKzp4Azotz5oez5oNz5oNz5oez5oNz5oNz5oez5cKbcGWOoqKhAly5doFTa7k2gtvmME1AqlQgLC+NdjHZzfX9HQ7nzQ9nzQbnzQbnzQ9nzQbnzQbnzQ9nz4Sy52+12f0XbvHiAEEIIIYQQQgghDaJGPSGEEEIIIYQQ0k5Ro54jjUaDRYsWQaPRNDwzaTGUOz+UPR+UOx+UOz+UPR+UOx+UOz+UPR+UuyWnHiiPEEIIIYQQQghpz+hMPSGEEEIIIYQQ0k5Ro54QQgghhBBCCGmnqFFPCCGEEEIIIYS0U9SoJ4QQQgghhBBC2ilq1AOoqanBbbfdhpiYGCQmJuLGG29ERkYGAKCwsBBjxoxB9+7dkZCQgH379omvW7p0KWJjY6FUKvHVV1/JlvnHH39g0KBB6NOnD+Li4vDqq6/aXH91dTXuueceREdHIyYmBlu3bhWfmz9/Pnr16oWkpCQkJSXhs88+s7kce/PaWwcvbTl3walTp+Du7o7/+7//s7mcb7/9Fv369YNGo7GYr6CgAHfccQd69+6NuLg4rFq1qsFcHK0t5z59+nSEhoaKx/DTTz/drOWkp6fjxhtvRGJiInr27InNmzc3NSaH6CjZP//88+jRowcSExPRv39/fP/99+JzdMxbaqiueeuttxAXF4devXohMTERNTU1Vpfz/vvvo1evXlCr1Ra5pqen4/rrr0dSUhJ69OiBf//73zAajU1IqeW15dxvv/128VhPSkqCUqnEN998Y3U5RqMRjz76KLp164bo6GisXr1afK6oqAjjx48Xj/dp06ZBp9M1J64W1VGyf+ONN5CQkIBevXqhd+/e2LRpk/icTqfD1KlTkZCQgISEBCQnJ6OoqKg5cbWYtpx7U+oIe99r5syZI9t/Wq0Wb7zxRhOTanltPfvGfiexV98AwBdffIFevXqJx31WVlYTUmp5HSV3e3UNAOzduxcDBgxAz549ER8fj4MHDzYlptbBCNPpdOzbb79lRqORMcbYm2++ya677jrGGGMzZsxgixYtYowx9scff7DQ0FBWW1vLGGPs999/Z2fPnmXXXXcd27Ztm2yZiYmJ7Ouvv2aMMVZSUsICAwPZyZMnra4/JSWFTZs2jTHGWGZmJgsMDGTFxcWMMcYuX74sznfhwgXm6enJioqKrC7H3rz21sFLW86dMcZqa2vZsGHD2OTJk9njjz9ucztOnz7Njhw5wubPn28x3+TJk9n8+fMZY4xVVlayxMRE9scffzQUjUO15dynTZvGVq5c2ajtsLecIUOGsHfffZcxxlhhYSGLiIhgFy5caNRyHamjZP/dd9+x6upqxhhjR44cYV5eXqyyspIxRse8NfZy/+qrr9iQIUNYaWkpY8x0vBoMBqvLOXLkCEtLS2P33Xefxb669dZb2euvvy5ub0JCAvv2228bF5CDtOXcpQ4dOsT8/f2ZXq+3upwPPviAjRw5khkMBlZSUsIiIiLYiRMnGGOMPf744+yJJ55gjDFmMBjY6NGj2Zo1axoXkAN1lOx3794tvjeys7OZv78/y8jIYIwxtnLlSjZhwgRxGx944AH29NNPNyIdx2nLuTeljrD3vUYqLy+PabValpeXZzeX1tCWs2/KdxJ79c3hw4dZbGwsu3jxImOMsfLyclZVVdXEpFpWR8ndXl1z8eJFFhkZydLS0hhjjNXU1MjaXG0FnakHoNVqccstt0ChUAAABg0aJP7la8uWLXj44YcBAAMGDECXLl2wd+9eAMDAgQMRFRVldZkKhQKlpaUAgKqqKri6usLPz8/qvJs3bxbXcc0112DEiBHYtm0bAMDHx0ecr7KyEowxm39ZtTevvXXw0pZzB4DFixfjrrvuQvfu3e1uh/DXSbVabfHc0aNHccsttwAAPDw8MHz4cHz00Ud2l+dobT33xrK3HGnugYGBSExMbBNn6ztK9jfffDPc3NwAAL169QJjTDxDRse8JXu5/+c//8GiRYvg7e0NwHS8qlQqq8tJTExEXFwclErLj26FQoGysjIApjOYdXV1CAkJsZuLo7Xl3KXWr1+PKVOmwNXV1eZyHnzwQahUKvj5+WHSpEn49NNPxfJUVFTAaDSitrYW1dXVCAsLa0Q6jtVRsh81apT43ggPD0dwcDBycnLE8lRXV6Ourg4GgwGVlZXcs2/LuTeljrD3vUbqgw8+wOjRoxEcHGx3vtbQlrNvyncSe/XNihUr8OSTT6JLly4AAE9PT7i7uzc6I0foKLnbq2veeustTJ48GXFxcQAAjUYja3O1FdSot+L111/HrbfeipKSEtTV1ckqq65duyI7O7vBZWzYsAELFixAREQEYmJisHTpUpuVXnZ2NiIjI22u44033kBsbCz69u2LdevWISgoyOZ6bc3b0DragraU+++//46DBw/i0Ucf/Ufb1K9fP3zyyScwGo0oKirC999/z72rlLm2lLtQnt69e2PcuHE4cuSIzXXaW06/fv3ErlOZmZn49ddf21zuQPvN3nz9UVFR4nLpmLdkL/e0tDSkpqZi6NCh6N+/f7O7sa5atQqff/45unTpgi5dumDq1Kno06dPs5blKG0pd4FOp8Onn36K+++/3+Y67S1nwYIFyMjIQHBwMIKCghAXF4fk5OQGt6O1tdfspXbv3o3Lly9jwIABAIBZs2bB09MTQUFB6Ny5M8rKyjB37txGLau1tKXcHVFHvP/++43ef62tLWXflO8kDX1eZGdn47rrrkOfPn2wYMEC1NfXN7gdram95i5lXtekpaVBp9PhhhtuQFJSEh599FFUVVU1uJzWRo16M0uXLkVGRgaWLVv2j5azfPlyLFu2DNnZ2Th58iTmz5+PtLS0Zi3rsccew+nTp/Hrr79i6dKlKCkpaZF525K2lHt1dTVmz56Nd999V/zLY3OtWLEClZWV6NOnDyZPnowRI0Y0+Jfv1tSWcgeAJUuW4OzZszh27Bjuv/9+3HzzzaisrGzycj744AP8/vvvSEpKwhNPPIFRo0a1qdyBjpH9nj17kJKSgs2bN4vvFTrmm8ZgMODcuXPYt28fdu7cibVr12LHjh1NXs5bb72Fe+65B7m5uTh//jw+/vhj7Nq1q8nLcZS2lrtg69atiImJQa9evZr1+s8++wzx8fHIy8tDbm4uzpw5g/fee6/Z5XGEjpD98ePHMWPGDGzevBkeHh4AgB9++AFGoxH5+fnIy8uDj48PFi5c2OzytLS2lntL1xH79+9HRUWFeCa0LWlr2bfUdxKDwYC//voLO3fuxIEDB/Drr7/i7bffbvJyHKUj5G6trjEYDNi3bx8+//xzHDp0CJcvX8aiRYuatW2ORI16iddeew1ffvkl/ve//8Hd3R3+/v5Qq9XIz88X58nKykJERITd5RQXF2Pbtm2YPHkyACAqKgqDBg3CL7/8grS0NHFwkTlz5gAAYolGcgABAABJREFUIiIicP78+QbXkZiYiNDQUPz8889Wl2Nr3qasg4e2lvvZs2eRnZ2N66+/Hl27dsWqVavw/vvvY9q0aSgtLRWXc/vttze4bQEBAdi4cSOOHj2KXbt2QaFQoGfPns2JqcW1tdwBIDQ0VOxafPvtt8PLywunT59u8nK6du2KL774AkeOHMHXX3+NsrKyNpM70P6zB0yDxsyYMQPbt29HbGysOJ2O+ablHhERgXvuuQcqlQoBAQG45ZZb8NtvvzVYx5tbs2YNpk2bBgAICgrCLbfcItb/vLXF3AXr16+XnWm0VsfbW85bb72Fe++9FyqVCp6enrjzzjvx008/NScmh2jv2QOms2Tjxo3D+++/j2HDhonT161bh9tvvx1arRaurq64995720z2bTF3W3VEU7/XCNavX49p06bZvFyIl7aYva3vJE2tbyIiIjBhwgS4ubnBw8MDd9xxB3777bcWSO2fa++5A7brmoiICIwdOxa+vr5wcXHBPffc02Zyl+F8TX+bsWLFCta3b1926dIl2fRp06bJBnno0qWLOMiDwHyQB4PBwHx9fdmePXsYY4wVFRWx8PBw9uuvv1pd96JFiywGeRAGuJMODJGRkcGCgoLEgRrM2ZvX3jp4aqu5m89nb6AYe/MVFxeL5T58+DDr3Lkzy83NbXBZjtZWc8/JyRHnO3jwIPP39xcHLmnKcvLz81l9fT1jjLGdO3ey8PBwcWA33jpC9nv37mXh4eHs8OHDFs/RMW/JXu5LliwRB/eqrq5m/fv3Z1u2bLG7LdYGNezVqxdbv349Y8w0QGG/fv3YJ598Ync5raGt5s4YY+np6czDw4OVlZXZ3YYNGzZYDFx17Ngxxhhj48ePZwsWLGCMmQZXHT9+PFu6dKn9UFpJR8g+LS2NRUZGsp07d1o89+ijj7Jp06Yxo9HIjEYje+SRR9hDDz1kd3mtoa3m3pw6wtb3n7KyMubh4cHOnDlj9/Wtra1m35TvJPbqm48//phNmjSJ1dfXs7q6OpacnMxeffXVxgfkIB0hd3t1zS+//MKGDRvGampqGGOMzZkzh82ePdtOInxQo56ZvswCYFFRUSwxMZElJiaygQMHMsZMB8SNN97IoqOjWXx8PPvxxx/F17300kssNDSUubq6Mn9/fxYaGsoKCwsZY4zt2rWL9e3bl/Xu3ZvFxcWxFStW2Fx/ZWUlmzhxIouKimLdu3dnmzdvFp8bO3Ysi4+PZ4mJiaxfv352v+zZm9feOnhpy7lLNdSo3717NwsNDWWenp6sU6dOLDQ0VBy187vvvmPR0dGsR48ebMCAAWzv3r1NjanFteXcR40axRISElhiYiIbNGiQbP1NWc67777LunXrxmJiYtiIESPY8ePHm51XS+oo2UdHR7OgoCBxGxITE8UvHXTMW7KXu06nY1OnTmVxcXEsPj5ebCBas2HDBhYaGsrc3d2Zt7c3Cw0NFf+wcvjwYTZkyBDWu3dv1qNHD/bMM8+IoxHz0pZzZ4yxefPmsalTpza4HQaDgc2ePZtdc801LCoqiq1atUp8LjMzk910000sISGBxcXFsZkzZzKdTteknByho2R/ww03MB8fH1ldI3zpLikpYRMmTGDx8fEsPj6e3XHHHdxPVrTl3JtSR9j7XsMYY2vXrmXDhw//R1m1tLacfVO+k9irb+rr69m///1v1qNHD9azZ0/28MMP27xzRGvpKLnbq2sYY+zVV19lcXFxLCEhgU2aNKlNjn6vYIwxXr0ECCGEEEIIIYQQ0nx0TT0hhBBCCCGEENJOUaOeEEIIIYQQQghpp6hRTwghhBBCCCGEtFPUqCeEEEIIIYQQQtopatQTQgghhBBCCCHtFDXqCSGEEEIIIYSQdooa9YQQQgghhBBCSDtFjXpCCCGEEEIIIaSdokY9IYQQQgghhBDSTlGjnhBCCCGEEEIIaaeoUU8IIYQQQgghhLRT1KgnhBBCCCGEEELaKWrUE0IIIYQQQggh7RQ16gkhhBBCCCGEkHaKGvWEEEIIIYQQQkg7RY16QgghhBBCCCGknaJGPSGEEEIIIYQQ0k5Ro/6Kffv2Yfz48ejSpQsUCgW++uqrJi+DMYbXXnsNMTEx0Gg0CA0NxZIlS1q+sIQQQgghhBBCCAA17wK0FVVVVUhMTMTMmTNxxx13NGsZjz/+OH744Qe89tpr6NWrFy5duoRLly61cEkJIYQQQgghhBATBWOM8S5EW6NQKLBt2zbcdttt4jS9Xo/58+fj008/RWlpKRISEvDKK69gxIgRAIBTp06hd+/eOHHiBGJjY/kUnBBCCCGEEEKIU6Hu9400d+5cHDx4EJ999hmOHTuGu+66C2PGjEF6ejoAYPv27YiKisKOHTtwzTXXoGvXrnjggQfoTD0hhBBCCCGEEIehRn0jZGdnY8OGDfj8889x7bXXolu3bnjqqacwbNgwbNiwAQCQmZmJ8+fP4/PPP8eHH36IjRs34s8//8Sdd97JufSEEEIIIYQQQjoquqa+EY4fP476+nrExMTIpuv1evj7+wMAjEYj9Ho9PvzwQ3G+9evXo1+/fjh9+jR1ySeEEEIIIYQQ0uKoUd8IlZWVUKlU+PPPP6FSqWTPderUCQAQEhICtVota/jHxcUBMJ3pp0Y9IYQQQgghhJCWRo36RujTpw/q6+tRWFiIa6+91uo8Q4cOhcFgwNmzZ9GtWzcAwJkzZwAAkZGRrVZWQgghhBBCCCHOg0a/v6KyshIZGRkATI34//73v7j++uvh5+eHiIgITJkyBb/88gtWrFiBPn36oKioCHv27EHv3r0xduxYGI1GDBgwAJ06dcKqVatgNBoxZ84ceHl54YcffuC8dYQQQgghhBBCOiJq1F/x888/4/rrr7eYPm3aNGzcuBF1dXV4+eWX8eGHH+LixYsICAjAoEGDkJKSgl69egEAcnNz8eijj+KHH36Ah4cHbr75ZqxYsQJ+fn6tvTmEEEIIIYQQQpwANeoJIYQQQgghhJB2im5pRwghhBBCCCGEtFNOPVCe0WhEbm4uPD09oVAoeBeHEEIIIYQQQggBADDGUFFRgS5dukCptH0+3qkb9bm5uQgPD+ddDEIIIYQQQgghxKqcnByEhYXZfN6pG/Wenp4ATCF5eXlxKUNZWRm8vb25rNuZUe78UPZ8UO58UO78UPZ8UO58UO78UPZ8NJR7XVERLn+0CfU6HZRubvC65RZU/fwzPEaMQMV334EB8LtvClwCA1uv0M1QXl6O8PBwsd1qi1M36oUu915eXtwa9UVFRdzW7cwod34oez4odz4od34oez4odz4od34o+9ZXV1iIi//9L2pOnIShqAidrr0WwQtegEtQkDiPLicHhZ99BgAwAtD064tL778Pv7geuHRluvtdd8Ktney7hi4Vd+pGfVug0+l4F8EpUe78UPZ8UO58UO78UPZ8UO58UO78UPYto66wEJfe3wAGwDs5GeXffIP66moAgNLdHf4zZ6DmTDryFy6E3/33A//bCcOV11bu2gXDw7NkjXpnQ416ziIjI3kXwSlR7vxQ9nxQ7nxQ7vxQ9nxQ7nxQ7vxQ9k0jNN7rSkqg//tvKFxc4DdzJi69/z70aWkAAG3PeFzauFH2Ou/x41Bz/BgMubmozUhveEXmN203Mvn/1uZpx+iWdpzl5+fzLoJTotz5oez5oNz5oNz5oez5oNz5oNz5cebs6woLkbdwEc5Nuhu6tFPitKI3V6OusNDqawxFRbi0cSMqtm9HbXo69Glp0P2ZKjboG8VaY1wyzVBSgvwXX5Q9nZ+SIvtf+N1QUtL49bZh1KjnTK/X8y6CU6Lc+aHs+aDc+aDc+aHs+aDc+aDc+XGG7K011HVpp5B9/wMo3bIFNUePQn82A4Cp0V68Zg0MRUXNX6HRSqudXZ1evnu3xdO5zzwDQ0kJynfuxNkbb0LNiRPyl1/pyi/8D5UKNSdO4OxNo1G+c2fzy9pGUPd7zqKiongXwSlR7vxQ9nxQ7nxQ7vxQ9nxQ7nxQ7vx0hOzNr2cv/ewz1Jw+jeBFi+AWHyc21DuNvF68bl1/NgO16Y3oBm/OSnvdWC0flyDP7Cw7AFx8+mnUZWWZ5i8utni+NjMT6cOvg+cNo6AODgarr4fmmmugDglGxa7dMOr1YDU1cOncGa7dukETFQV9ZibqLlyAPj0DGNP0TWlLqFHPWXZ2Nnr06MG7GE6HcueHsueDcueDcueHsueDcueDcuenLWWvSzuF/JQUuEREQO3vD+/kZFTu2QOfSRNhKC5BwbJl6DxvHtzi42SvE7rEA6br2Uu3bAFgaribz2uTcHZdaLRbabxb6xYPAOVff222IZaDD9adO2cxTdGpE7Q9ekB3/DhwpceEa7dohK5caXpeqQQzGhGyaBGMBoM4TZgu/N8RtNnu94899hi6du0KhUKBI0eO2Jzv+PHjGDFiBOLi4hAXF4cvv/yy9QrZAgwGQ8MzkRZHufND2fNBufNBufND2fNBufNBufPTWtkLXeArDvyCc5PuRu7CRdClnRK7xdcVFqL47bdRc/QoKrZvx+WNG6E/myF2hdefzYDu0CGxm3yTWGmo15dXyGbJT0lBVWoqCpYsAQAULFkiu17dVrd4q1QqQK2GS1gY3AcPNj0GoAwOht8jj6DLe++CqdVQeXmh66aP0OOvw4g9cRzd/0xF4Nw5YsMdgPi/Uq2GUq22mC6dtz1rs2fq77zzTjzzzDMYNmyYzXmqq6tx66234sMPP8SwYcNQX1+PS5cutWIp/7no6GjeRXBKlDs/lD0flDsflDs/lD0flDsflDs//zT7usJClG7eAm2fPihZu9biTLou7RQKli2Dz8SJKF6zBgGPP4aao0dRc/Qo3Af0F7vFA6ZbuzWL9Ky69Hp2I4OhpETWUA9b/SbKtm9H4fJX5Iuorkb2lPug0GjgefMYVP/2OzLHjkPwi4vgNWYM9GfSoQ4OhqGkBMaqKig9PcHq6sCqqgAXF4AxuHbvjvqiIrhERiJy4waxwW2oqYHK1VVcl0KphCb1EFzMGuZKdZtt2jpcm93y4cOHNzjPJ598gkGDBokNf5VKhcDAQJvz6/V62WAW5eXl/7yg/1BmZibi4+N5F8PpUO78UPZ8UO58UO78UPZ8UO58UO782MtebJBPmoTLH30Ehbc3ak6cgEtAALosXw51gD+KV69B6ZYtCHj8MfFMurRRL5xh9xgyuOmFk3aJt3ZLN1h2ic9btOjq7wsWQKnVQKFSiw31jOtHgtXWWl+fUglNXBzCVq40LTdlsXi9esDcOQiYO0fs7q5Uq2E0GMSz5ObTpQ10tVZrsSo65uXadV+DtLQ0aDQajBs3DklJSZg6dSqK7Iy0uGzZMnh7e4s/4eHhrVha64wd5DqO9oZy54ey54Ny54Ny54ey54Ny54Nyb126tFPIum8qdGmnYDQaZY8B09n3guWvoHDlSugOHYLuz1TUHD0K3b59YJcuofbMGejPZsBQVCRev95oZmfSAQAMqM3OsZhVuH1b3gsviL8XLF6MmgxTF3yxS/zJk2IXd9TUmP5XKIDaWhjLK+B5040IW7kSUTu2Q+HuDqjV0A4ahO6/HMA1O7ZDFRAAhY8P/B9+GJGbPgIAqP39EfbG6wiYM9u0OMnZdKHBLnSHtza9wRjomJdps2fqG8NgMGD37t347bff0KVLFzz//PN45JFHsHXrVqvzz5s3D08++aT4uLy8nHvDPjY2luv6nRXlzg9lzwflzgflzg9lzwflzgfl3vKEs+yd582DOsAfpZu3oNOoUajcswdKX1/xrHrsmDGo2rlTdpZdOvBco9k4ky48LvvKNJhc8erV4lPCGfacWbNQb+V+66y6GlAooP/7bwCAyscH9WVlODc+GX7TpkLp7gF1cDBcIyLges01KP3ySxirq6Hu3BleN94I3alTqDl+HPpM0yB1an9/dD+wH8DVhrfa3x8xB/aLZ93Nr0931PXqdMzLOSRlpVIJlUpl86elRERE4Prrr0doaCgUCgWmTJmC3377zeb8Go0GXl5esh/eTp8+zbsIToly54ey54Ny54Ny54ey54Ny54Nyb5i1e63be146sJxwSzdh4DljxdVLeBuVvbX7rhsZ6kvLxIfFa9YAkJ9Jr8nIQP7ChabynT9vmpFdXRbT6QCF4mqD3sUFUKuv/nh6AhoNFO7ucB88GL733otrtn8DdWAgdCfTEDB3DqJ2bEf4O28j6Omn0P2XA4g7fgzRP3yPoKefQteNGxB76A9EbHhfXKf0jLqUdBC61kDHvJxDztRXVFSAMYZVq1ZBp9PhkUceAQC88847cHNza7H1TJw4EevXr0d5eTm8vLzw3XffITExscWWTwghhBBCCGm7pLdxU15pZyjd3WW3cwMgXrsuvde6lLV7sdvEzM6qm/9v1oYv3bzZYhF58+fLGugwGgGFAsaqKpwbnwxtXBxqTp0CGINCowG7Mi6YqnNnKLVaoL4e9dXVMFZXQxUYCM0118AtIQF+905G3osp0MbEwP+Rh8GMRrHBLdzGrfu+vbLr2QFYHTHefDppuxzSqPfw8AAAbNu2DX/++ac4/eWXX0a/fv0wf/78Bpcxa9YsfPvtt8jPz8fo0aPh6emJjIwMPPDAA0hOTkZycjIiIiLw/PPPY8iQIVAqlQgNDcW6descsUkOQ11H+KDc+aHs+aDc+aDc+aHs+aDc+XCG3IVR4oUu8ML/UKvF0eCltD3jZSPDN/vadSO72ki/Mq1k3bsATGfVuyxdgoLFi8XHLqFdcPHx/2t4+cKt8Fxdgbo6wM0N2u7R0MbFo/LHH6HPzoY6MBBh770Lt5gYVP/9Ny48+BBcIyIQ+cFGAKYGd31trUWjPfzNN8TfpaSP2/tI8c5wzDeFQ//sUlFRgUJJF5fCwkJUVFTYecVVa9euxYULF2AwGFBQUICMK91Q3nvvPSQnJ4vz3XfffThx4gSOHTuG//3vf9yvkW8q6jrCB+XOD2XPB+XOB+XOD2XPB+XOR3vM3by7uzDYXOmOb5F131QUrl2Hv/sPQOmObwHAogu8eA/2woKmrdhKT3jZdGbq9i401PNTUpC3YAGAK2fXAbCaGqiDgmCsqkL+4/8HY1UV1MHBMFZVIXvKfVavbwcAqFRQ+PiYuskDgEIBTa9e6H5gPzyHDUOnYdcieOECdN+3F9EH9qP7vr1wi4kBALj36IGY/fsQseF92dlzlaurzTPsHVl7POYdyaF/ovn3v/+NxMRE3HLLLQCAnTt34kXJLRMIIYQQQgghHUddYSGKV69BzenTCHj0UVQfOAAGwDs5GeXffAMGwH/mDIvu7sI17JrobtAdOgSoVWCVldD9mQqfcWNtr9BWI13SFb6+7Oq168K91tX+/uI06b3YLzzyCAzFxQAApY8PjKWl0J86BSiVV8+uu7mB1dZCHRaGuosXoYmPR9QXW5GXkoLSLZ8D7u7ovvN/MBoMyFuwEPrsbHjffDMC58yGUq0Wz64LXeCVajXC3nhddnbd2m3cgPZ/hp04hkOPilmzZmHo0KH46aefAABPPvkkevbs6chVtjvUdYQPyp0fyp4Pyp0Pyp0fyp4Pyp2P1srdVoPdf+YM8Tp06W3aao4fE0eB1/aMF3/3Hj+u6Ss36wIv/F/65ZdWZxdu4XbxiSdQl5sLwDT6e+25c8gcOw7BLy6C15gxKN+5E/kvpgAKBTxvHoOKH3YBAAKfeRqsohLVR45A99dfUGi1CN/wPi699TZcQkNRd/EiXLp1g9/sR6BSKAAAwQsWIHjBAvE6dgCIXLdWvAe79Oy69H9BRz+73pKorpFz+J96EhISkJCQ4OjVtFunT5+mfDig3Pmh7Pmg3Pmg3Pmh7Pmg3Plo6dyF69d9Jk2EobgE+Skp0MTGwvPGG6022L3Hj2t4cDlzzOx/W4POGZnsTLrQLV7oCo/aWuuLr64GlErU5Zju367t2RN1ublg9fVwvaYr9OkZwBhAfyYd7gMHInjRQqj9/VFbUIDCJUvBKqsQMHeOeK260FB3l5xRZ0YjTqalidlb6wZv7TH556iukXNIo/6ee+7Bp59+ij59+kBx5S9XUocPH3bEatslJb3JuaDc+aHs+aDc+aDc+aHs+aDc+Whq7tJGOwDxd+nZdqFrvD4zUxyIzn1A/4YXLu0OL72Vm+T3+tIy8X7rBUuWIPDfT4qNdWGkeN3vv4uPy3fsAAAoXFxgrKoyLUToCm9OrYbC1RUqPz8Yq6qg9PQUR4b3nXwP8lMWQ9O9OwLmzAYAseEucO3c2aIrvPkI8NLpdMzzQbnLOaRR/9RTTwEAVq1a5YjFdyhRUVG8i+CUKHd+KHs+KHc+KHd+KHs+KPfWUVdYiEvvbxC7vkdFRVlMs3fmXNpoB9D0W7kB8gb7lV8NJSXIe+EFcbLQcAeAPMm4WjkPPQSVpyc8bx6Dyh9/QvaU++yu1lhVBZWfHzyGDoXK3w+Ve36Ewt8fxuJidBo5EvWXLsElNBSG3Fyoo6LQ+bFHTcW60jCXjgxvrcFuTWPPrtMxzwflLueQRn2/fv0AANddd53d+e677z589NFHjihCu5GRkUFdRzig3Pmh7Pmg3Pmg3Pmh7Pmg3FtGySefonDJEqhDQxG2ahXUAf6y27lpk5JkXd/PFhaim0Lxz7rDS0m7xksa78Vr3rr6u6TBnp+SAp+Jd6HgpZfBpN3hpX8E0OlM/ysUQH09jLW18Bo9GnV5+dCfOgWllxcUCgUM5eVATQ1UYWFQ1NYCnTrBkJWFer3+aoN80SIYDQYo1WpZV3jp/4Dt0eBbsjs8HfN8UO5yXIdPPHnyJM/VtwlqGsGSC8qdH8qeD8qdD8qdH8qeD8q96aT3XxdGh9efOwfU18OQnQ392QyAGVG8Zg1cukaieM0ahPznVdky1Go1UF/f+JWaX88u+V16/XreCy9Af/781bJKfhcb7Eolak6cQP7ff0Ph6gKVlxc8b7wBVb8eRH15OYwVFYBKBZWHB5Senuh0/fWoPXcOdRcuQJ+egchNH4kjwqtcXWGoqYFaqxUb7cL/hpoaAFcb5MJAdOYN+Na+fp2OeT4odzlKg7OIiAjeRXBKlDs/lD0flDsflDs/lD0fzp67tAu8+S3cbJ05F7rCu3SNFM+0uw0eZH9FTN71PSIiAsg8J5tmi7TRnv/ii6Yz5zBd2+59x+0oWvFfQKGAS9eu0P/9t+UClEqo/PzA6uth1OuhjYmBytsbtTk58Bw9Gp0ff0w22rvRYAAzGqFydZVNtzUivHArN6HRLvxv6xZvvDn7Mc8L5S5HIwxwlpmZybsIToly54ey54Ny54Ny54ey56Oj5q5LO4Ws+6ZCl3YKdYWFKHpzNeoKCy3mMxQV4dLGjbi8cSP0ZzPE3w1FRU1bofm162YjxJesXSc+nZ+Sgsy9e00NdMk0Q0mJxWLLd+5E5thxqM3KgjYpCTUnT6LmxAm4JSWhNisLBS8vgUtkBKJ2bIc6IAAKNzeo/PzgO306Ir/aBlVAABReXvCZOBGxB39Fj9RDiNz0ESLWvoNuO7Yj6NG5AOQDyynVarHBLp1uPvhce9VRj/m2jnKXozP1nGk0Gt5FcEqUOz+UPR+UOx+UOz+UPR/tKXfpCPDmZ9HNn9OfzYDu0CFZV/hGDSzXGOa3dAOg++138fe8BQug6dYNAJC/cCEAoPbsWcDFBQoANcePQ/XEk6iBaXR4AKg5cQJnbxqNkCUvw2vMGHFZ0tu3Xf74E6h9fMAYg1tCAsLWrEbeiynQxsRA7e+PiI0bLAaZizmwH0aDwWrDvCM00JujPR3zHQnlLse1Ua9SqXiuvk0IDg7mXQSnRLnzQ9nzQbnzQbnzQ9nz0VZy16WdEkdhD3n5ZbjFx0GXdgoFy5ah87x5cIuPk40Ab944t/ecXbZu52ajO7ysK3xKivWZamuhP3UKUCrB9HrTNJUKSjc3BD39FEreW4+6ixfhEhqKrp98DADIfX6+eM06rrbpZbdvk/4uNNrD33xD7BavlFyzLG2wK+laZpm2csw7G8pdzuF/UjMajcjNzUV2drb4Izh06JDN1z322GPo2rUrFAoFjhw5YnWeH3/8EQMHDkR8fDx69uyJZ555BsYrFVF7cV464AhpNZQ7P5Q9H5Q7H5Q7P5Q9H47OXZd2Cucm3Y3chYtQV1iIusJC5C1chHOT7oYu7ZQ4n/5sBvRpaaafsxniNPFse1MJDXRpV3izhrqhpETWBT6vge7wQld4/ZkzgEoFVl0tX6CbGzQJPcWHSm9vdP3ma3S68Ub4TZ0Kj0GDYMgvQLf/fYf6TR+h2/++g9rf33SWfe07iNr+jXgvdkFjRoN31jPuzUV1DR+Uu5xD/9S2ceNGPPbYY3BxcYFS6JqjUKDQyjVI5u68804888wzGDZsmM15fH198dlnnyEqKgo1NTW44YYb8OGHH2L69OkttQkO5+bmxrsIToly54ey54Ny54Ny54ey5+Of5N6YQeb0ZzNQc/Qoao4ehe+kiQCA0i1bxOfc4uMav0IbjXPz52oyMlCweDEAU+PcNTISgGlgubDVb0Lt74/ynTuR9/x8GHU6QKUyjUQv3MJNpbLaHV7oCu8SGorKvXuhDg6GAYB79+6oy8pC3YUL6DT8OkRt3YraykqotVoo1WrxbLq0W7ybp6dFY5wa562D6ho+KHc5hzbqX3rpJRw6dAixsbFNfu3w4cMbnKdPnz7i71qtFklJScjKyrI5v16vh17otgSgvLy8yeVqaQEBAbyL4JQod34oez4odz4od34oez6kuUtv1Vb62WeoOnQI9WVl8Bg6FJ2ffgqG4hLkp6RAExuLwLlzxEHmAEDbM/6f3XPdyCx/l/wv7fYubZwD8i7xFx55BIbiYgCA0scHxtJS6E+dgmvXrqjNykLm2HEIfnER9GfSoQ4OhmtEBFyvuQYVP/4IY0UFlJ6e8Bw5EvrMTIvu8EL3d2Y0Iujppyy6wjNJ71PXTp1km2d+HTsd7/xQ9nxQ7nIObdQHBAQ0q0HfHPn5+di6dSt27Nhhc55ly5Yhxdb1Spzk5OTA29ubdzGcDuXOD2XPB+XOB+XOD2XfOioO/IK8+fPhPnAg/GfMwIVPPwX7179Q+J//QBMTg+r9++HSNVI8mw4AFdu3w3/6NOgzMy3OujfI3nXqV56ryciQd31/8UUoO3lcPdu+cCEUGlcoVGp43jwG1b/9LjbOTfOnAAoFPG8eg4ofdgEAAp95GqyiEtVHjkB/5gxUgYGI/HgT8lMWQ5+egYC5c6w20q3dwk1ga4C55gw8R8c7P5Q9H5S7nEMb9bfddhtWrVqFyZMnQyu5t6SXl1eLrqe8vBzjx4/HM888g/79+9ucb968eXjyySdlrwsPD2/RsjRVJ7O/vJLWQbnzQ9nzQbnzQbnzQ9m3vLrCQhSvXgPdiRPQJiQgcO4c1Bw/hvqCAlRs345Ow6+F8vPPoVOrUF9QgOqCgqatoIFB5moyMmSDyeXOmyd7eX5KCqoO/oryr76WL1anw8U5plutqYODYcjPB9Pr4TNpIkKuXOsuNM7BmDg6vNrfH7UFBShcshSssko2sJzRYIBSrUbYG6+LZ9YFPK5Vp+OdH8qeD8pdzqGN+vnz5wOArCGtUChQX1/fYuuoqKjAmDFjcOutt8rWY41Go2lztz9o6T9wkMah3Pmh7Pmg3Pmg3Pmh7O0zHwne3u3dBIaioqvXr6elNe/suoDJp9eXlqFo5Urxsfkgc9r4OJRuvnK2X6EAGENtevrV5SkUYNXVpga9QgGVry8iPvwAAHDu1tuA+npoevZE1BdboTtzBhceeBD6zHMAALW/v9g4B+SNb9fOna023G2NDM8LHe/8UPZ8UO5yDq2FjEajxU9LNugrKysxZswYjBkzBi9cuW1Je5Obm8u7CE6JcueHsueDcueDcufHWbOvOPALzlw3AheefgZ1koGJ6woLUfTmanGa+Ujwwi3cDEVFTVuhvWvXr5A20AUXnnxSNj3nwQdRc/KkaZA5wGKQudLPtwIaDdyHDEH3A/vhc8/dpucVCvjcfTe6H9gP98GDTSPG9+2LmF9/gTY6GtroaMQePYLYE8fRdfNnAAC3mBh037cXERvel5VJes91c22h4W6Psx7vbQFlzwflLufwGionJweffPIJPvnkE1y8eLHRr5s1axbCwsJw4cIFjB49GtHR0QCABx54AN988w0A4PXXX8cff/yBL7/8EklJSUhKSsKSKwObtBf0VyY+KHd+KHs+KHc+KHd+Olr2FQd+welh1+Js8q2yW7fp0k4h676p4jRpd3hpA73ZjXYpsxPuupNpKF69Wnycv8h0TXrp5s1mM+osFmXIzjZNVyhME66cJfe49lq4REZC5ecHl8hI063bhg+HOjIS/vffj8j310Pt74/gBQsQe+I4Yo8fQ/DCBVD7+yNyw/vo8Wcqun6wUbYupVot/phP7yg62vHenlD2fFDucg6tzb7++mvcf//9GDZsGBQKBf7v//4P69evx/jx4xt87dq1a61Of++998Tf58+fL3bxb6/c3d15F8EpUe78UPZ8UO58UO78tPXspSPDW7t1m3l3+Jrjx2AsLkZtcbHs1m3SM+5Nup2b+Vl1e7d3g2lE+DyzXpEFCxfKHrOaGrurVHXuDNfwcOj+/BNgDFAo4Dd9Orxuvw3ZM2YCRiO08fEIf2tNowaZs3b23N7Z9o6srR/vHRllzwflLufQRn1KSgp+++038Sx7RkYGJk6c2KhGvbPIz8+nWzJwQLnzQ9nzQbnzQbnz01ayN7/3euWePeIt3kq3bIFL10irt24Tzqx3Gnl9027nZmt0eBv3XS9YvBguoV1QtOK/psdmt3cDgPKdO5H7zLNgtbWW61Mo4HHddTBWVUF36BAYAFVQENzi4qD08UHFt98CCgX8H3wQgVcGmquXLEepVkOhVCL2lwMwGgyyRnlrDTLXEbSV490ZUfZ8UO5yDm3U19fXiw16AIiOjobR7C+tzs7X15d3EZwS5c4PZc8H5c4H5c6PI7OXNtQ9hg1D8ZtvivdaN2+Am997vXjNGotbvDWKtWvXpb8bGapSU2Xd4XPnzUPkxg0AYPW+68JI8NlT7oNCo7G4vZvXGNMN1fVn0qFwdwdUKrj16YPOz89D7uKXoD9+HEqtFtr4eAQ99ijqa2txIScHEddcI55dV7yyHPW1tWLjHQBUrq5WN7EjdYdvbVTX8EPZ80G5yzm09gwKCsJ7772HmTNnAgA2bNiAwMBAR66y3XFxceFdBKdEufND2fNBufNBufPzT7PXpZ0Su5uHvPyyrGu7tKGu8vaS3Wu9SWfVgUadWa9KTUXxm2+KT+UvWgRtz3gAEM+4582bJ16XLqhNT0f6tcOhdHODwtXV4r7rATNmIC8lBWVfboMmLg5hK1fKb+9matMjYO4c+M9+RHYWPerDD8CMRtmo8CpXV7h5elqcabfViCcth+oafih7Pih3OYc26t955x3ce++9mD17NhQKBfr27YtNmzY5cpXtTmFhIYKa+gWA/GOUOz+UPR+UOx+UOz/m2UuvYS/97DPxXuu+d9+Nyj17LG7lpj+bAX1amvh7k65Xl7Jy7/X68gpxkvS+6/kpKQh/520AV8+sZ8+cCWN5uXyRNTU4N+7KpYwKhXjGHTBdtx715RfQnzuH7Jn3A/X1UAcHI/LDDyzuuw4AwQsWIGTRIhgNBgCWt3cDmnb9Oh3zfFDu/FD2fFDucg5t1Hfr1g2//fYbKisrAQCdOnVy5OraJX/JNWuk9VDu/FD2fFDufFDurUc4s27U6aB0c4P3E/8ne164Rl3a9V2flgb3Af2bfu26lYa6xXSYBpfLN7vfOgAUvvTS1ZdUV5t+uXLrtoyRo6BQq6+eWd/5PQBA4eGBrps/Q31pqWlQubo6wMUF12z7EtroaFSlpeHirIfhGhEBtb8/1P7+iDt2FIaaGqhcXcXGt/S+68DVs+nmXd+bew07HfN8UO78UPZ8UO5yDmnUp6eno3v37jh27JjV53v37u2I1RJCCCGkndOlnULBsmXoPG+e7Oy4dDT4mjPpyF+4EMGLF8Nz2FAA8jPrAKDMygKuvbb5BbFxDbt5Q116DXveggWIeO9dqP39Ub5zJ/Kenw+jTme693p9/dUGPHD1Vm5KJTSxsfD417+gz8yE7tgxqP38xDPr+mfyULBkKdxiY6G9Mk5R3PFjqKuuhsrVVWyMe8THI2b/PvGMu0Ct1VrdPBp4jhBCOg6HNOqfeOIJ7NixA7feeqvFcwqFApmZmY5YbbtUUlKCkJAQ3sVwOpQ7P5Q9H5Q7H5S7JVuNdkH14cPQHTqE6sOHLa5jF86o1xw/BkNuLmqOHxMb9eYqKyrlE4R2udHsdLr5Ld1gGh0+T3qG/cUXoe0Zj9qMjKsNdaXSdA07u/pC/alTyBg5Cl1eWQ79mXSog4PhGhEB12uuQe25c6jJyIDh0iX4JCfDUFICl9BQGHJzoeneHQFzZkOhVFqMAK8JCUHE6jctbunmYuN2TrwHm6Njng/KnR/Kng/KXc4hNf+OHTsAAOfOnXPE4jsUuhaED8qdH8qeD8qdD2fMXRgZvq6kBLVnz0KbkIDAuXMAAKWbt0Dp62v3vurGinLZ/41m1lj39vIUfzeUlIjXqEsb6wDEs+7CrdxK3n0XlzZ+IJuH6XQ4N248tImJYkPdUFoK/enTUGi1UHl5wWPwYFTs3g1WXw99egYC5s5BwJVbuAmDyZlfpy6dbqsbvHT+9sAZj/m2gHLnh7Lng3KXc+ifc2+77TZ89dVXDU5zZnV1dbyL4JQod34oez4odz46Su7Sru8AxNu5+c+cYfcWboDpunXfK68rXrMGAY8/Zn9lwplvZnZGXTIavPQ2boDlmXUAqHxtBWoGDUJtRgbyX0wBq6sznV3X6eSLvXLWXX/mDDLHjoPK3w9Qq6Hy8kLEh6bG/fmp02CsqABcXBC1Y7vFGXWhsR7y4iKLM+0ArN533d709qyjHPPtDeXOD2XPB+Uu59BGfXZ2tsW0s2fPOnKV7c7ly5cRGhrKuxhOh3Lnh7Lng3Lnoz3kLjTYtX36oPjNN6EKCkJ9YSGCFy0Sz6RLu74DEBvt3uPHNf0WbkzeIJeqychAybp3AQAl696F5003QRsdLTvTnvvcc6i9chlf8Zo10Keno2LnTsvVXBkhXpuYCPeBA+ESGorSbdvAamqgdHeHOiQEhrw81Ot0UGq18LntNtRdvAiXbt0QOGe27Ix57K+/iNeqWzujLm2U8+7+zlt7OOY7IsqdH8qeD8pdziGfPGvXrsU777yDM2fOoG/fvuL0srIy9OzZ0xGrbLeCg4N5F8EpUe78UPZ8UO58tKXcpWfbXYKCrjbmk5LEM+g1R4+K8zf7Nm6WbXXZNKHRXrB4MbQ948XB3wqWL8elDz4UG/2spgbnxiej03XDoTtyFFAooAoMRG1GBgBA4eICVld3tUGvUkHl7Y3glxYjb8FCGEtLTQPUubiIo70H/vtJ8Sy60WCAUq2W3WvdvCu8lLM31hurLR3zzoRy54ey54Nyl3PIJ9SYMWMQGxuLRx55BCtXrhSne3l50cj3ZqqlI+GSVkO580PZ80G58+Ho3KX3Xi//5hubXeIB+dl2l6Ag8XHIf15teEXM7H/z6cI6zEaGF+TOm4f6y5dNL6mpgfrK+s+NT4bftKno/NxzqNy/HwCg8PREp2FDUXngF7DKSlQfPQaPgQMRvGghzt15F+DqCrfeveHxr3/BffAgZM+YCaW/P7rv3iU2vL1GjUJWZiYiIiLEMph3iRfmtdVVnjQP1TV8UO78UPZ8UO5yDmnUR0ZGIjIyEocPH4ZWq4Xiym1bGGPQ6/VQqVSNWk56ejqmTZuG4uJieHt7Y+PGjRZn+o1GI5566ins3LkTarUa/v7+ePfddxF95S//bV15eRMHAiItgnLnh7Lng3Lnoym5CwPMCQ1zALIz69ZI773e7C7xtrrDX3ks7fqe/+KLYPX14iz5KSkIf+dt+S3crHzRqk1PN/2iVkPh5gZWW4vAZ57G5Q0boTtpug1dpxtvQl1mJoIXLYTa39/0B4KUxVBHRSH4/x4HAER9vxMqV1dTsa+cUY87fgz1tbUWZ9Irq6vp7DoHVNfwQbnzQ9nzQbnLOfTP0aNGjZIFXl5ejhtuuKHRr581axYeeughnDlzBs8++yymT59uMc8333yDX375BUePHsWxY8cwatQoPP/88y1R/FbRpUsX3kVwSpQ7P5Q9H5Q7H43Nva6wEMWr1+DSxo24vHEjDEVFYoPdUFTUMoUxP9t+5f9L698HIL/fOmBqsJds3IjMseNQm5UFbVISak6cgP7UKUClgsLFBTUnTuDsTaNRvnOneAs3pbc3FG5ucBswAO6DB0Ph6WnqBu/piYBZsxC9839wHzgQrLIK3fftRcQG0/qDHnsUYW+8DrW/PwBA7e+PsDdeR+fHHhXLJDToAfkZdel0AR3zfFDufFDu/FD2fFDucg79E3Z1dTW8vb3Fx97e3qisrLTziqsKCwuRmpqKH374AQAwYcIEzJ07FxkZGbKz8AqFAnq9HjU1NVCr1SgvL0dYWJjVZer1euj1evFxW/gLT3l5Ofz8/HgXw+lQ7vxQ9nxQ7o5h8zr1K4PO1XXpAs95zzV45txQVITSLVuaXgBr9163ck279Gx7wZIlCH5pMXKfegoAoD9z5srr5C9k1dUoXP4KXCIj0fWTj3H5409Qf/kyjFVV8B4/Hv4P3I/c5+ej7sIF2S3cpNenAxBHg5dOF65xB+Td4K1pbnd4Oub5oNz5oNz5oez5oNzlHNqoNxqNqKysRKdOnQCYwjdcGT22ITk5OQgJCYFa+LBXKBAREYHs7GxZo378+PH46aefEBwcDE9PT4SGhmLv3r1Wl7ls2TKkpKT8w61qWY39IwdpWZQ7P5Q9H5R701lrsJvfys3WderioHNHj8LwwP3NGCHexu8Ssm7xks82aZd4ACjfuRP5L6YACgU8bx6Dqn37cW58MqBWQ925MwzFxUB9PaDVAkYjOo0aBd2hQ6jX64H6eqiDgqD297d63/WIte+IjXNbt2ez1Wh39LXrdMzzQbnzQbnzQ9nzQbnLOfQT9d5778UNN9yAjRs3YuPGjbjpppswbdq0Fl1HamoqTpw4gYsXLyI3NxejRo3Cww8/bHXeefPmoaysTPzJyclp0bI0R3h4OO8iOCXKnR/Kng/K3VJdYSGK3lyNusJC2e8C8+7vwv3Xhe7xLam+tEz2OG/BArGhXrBkCQwlJbLny3fuRObYcaaz7CoVmHAdu0ol6xIPAPoz6XAfOBBRO7YjbOVK+EycCHVgIHzvvRfd9/6Mbj/uQacbb4TfjBmIO3YUYSteQ8yB/Yg9+Ct6pB4Su8dLz76bDyzXFgeXo2OeD8qdD8qdH8qeD8pdzqFn6p999lkEBwfj22+/BQDMnTsXU6ZMadRrw8PDkZeXB4PBALVaDcYYsrOzZSPZAsCHH36IkSNHwsfHBwAwbdo03HTTTVaXqdFooNFomr9BDiAMAkhaF+XOD2XPhzPkbu1MurVpAvN7r0vPuDeajevUG+oOL3X588+Rv+hF0wOFAlAqTdetA3BLSkJtVhYyx45D8IuL4DVmDICrDXWX0FBU7t0LdXAwFC4u0ERFQZ+ZKXaJxxiIZ9cFQU8/hc7PPiOeYXft3Bnhb75hcca9oW7xbZ0zHPNtEeXOB+XOD2XPB+Uu5/BhYadNm9ass/NBQUHo27cvNm3ahOnTp+OLL75AWFiYxaj2UVFR+O677/DUU0/B1dUVO3bsQEJCQksV3+F0Oh3vIjglyp0fyp6P9p67+bXqmthY+N59Nyr37EGnUaNQuWcPtElJFiPAC2fXpdMazVaD/crv1q5TFx5LB53LW7AAEe+9K3aHlyrfuRMFL5teowoMBKuthVGng9LdHSo/P3gMHYqwNauRn7JYbKQDkHWDD3r6KbHhLXSLFxrogO1u763dHb61tfdjvr2i3Pmg3Pmh7Pmg3OUc3qjfsmULjhw5gpqaGnHaf//730a9du3atZg+fTqWLl0KLy8vbNiwAQDwwAMPIDk5GcnJyZgzZw5OnTqFxMREuLi4IDg4GO+8845DtsURIiMjeRfBKVHu/FD2fLTl3CsO/IK8+fPhPnAgOj9tGrzN/FZu5teq1xw9CvcB/cXbuTX6futSNhrrgPUGu/T+6xeffBL1ZWVQKJXy69SFW7ZKBp3TnzqFjJGj0OWV5eKZdvG5M+nwGD4cwQsXwCUwEIaSEuS9mAJtTAwC5swGAIuB5YRp0v8bmu6M2vIx35FR7nxQ7vxQ9nxQ7nIObdQ/9thjOHfuHP7880/cc889+Pzzz3HjjTc2+vWxsbE4ePCgxfT33ntP/F2j0eDdd99tkfLykJ+fD09PT97FcDqUOz+UPR+8cm/Mvddrjh9DfUEBKrZvh/90U8+u5nWFt9Ll3caAc+b3XodCAcDUgPe+43YUrfivfGC5ceMBAAoXF9N2ZWcDKhWCX1wE37vuQsErr6L822/BFAoYKyqg7dkTSnd3VHm4Q/XHIbD6etmZdoF513i1v7/YFb6jn0l3NKpr+KDc+aDc+aHs+aDc5RzaqP/pp59w9OhR9OnTBytWrMDTTz/d4gPltXfSW+yR1kO580PZ8+Ho3OsKC1H4n9dQ8csvcAkIQJfly+EWH2fR/R34h9euS69VF36/8n/J2nXiU/kpKQhZtlR2dl0YFb760CFxNHhtUpJplHpcvX694OUl0PSIRfhbb0Ht74+CV17F5c2boQ4MRNdPPgYAXJz3PAwXL8KQXwDg6nXq9bW1UKrVYgP8xLFjiPvvf8Xbuplr6du4kauoruGDcueDcueHsueDcpdzaKNeq9VCqVRCoVCgrq4OwcHByM3NdeQq252oqCjeRXBKlDs/lD0fDeWuSzuF/JQUuEREwFhTA91ff8GtTx+ofX1h1OlQe/YstAkJCJw7x2pj3FBUhPLt2wEAtZcuQX82A27xcY0rnK1B5ax0hZdeqy402PMXLjSt9+xZwMUFCgA1x49bnF0XRoX3GDYU7gMHInjRQlz++BOofXzAGINbQgLC1qwWu78L18AHPf0Ugq5cFiA0tiPXrbXaHV7l6irbtKgr48AIg86R1kN1DR+UOx+UOz+UPR+Uu5xDv2V4enqiuroaw4YNw5QpUxAcHAx3d3dHrrLdyc7ORo8ePXgXw+lQ7vxQ9nyc//lnuH36GTrPmydrbAuNeYVWK16rLqjatUu2DH1aGnwl3eYbxdb91q/8XpWaKmuoX3z6aag6dQIg7wpvFAbEkXSxZ1emMeGv9SoVlG5uCHr6KZS8tx51ublw6dJFPLue+/x81F24ANdu0Qh67FEA8u7vQpd36UjwwD87m07HOz+UPR+UOx+UOz+UPR+Uu5xDG/Wffvop1Go1/vOf/+C///0vLl++jK1btzpyle2OwWDgXQSnRLnzQ9m3HGGAOdfYWBiLi+HarRuUbm6yeZTu7vCfOQP1WeehO3TI4gy6/myGrCHfbOa3bTMyGEpKZN3f8xYsgOLKGeuCJUugcNOi+lf5uCl1586hDpZd4aFQQn/mDLQ9e8JQWAjU16OuuBior4f3HXeg/tIluIaFoe5Kl/hu//tObKQLje+Ite/IGuuA5f3Wrf3+T9Dxzg9lzwflzgflzg9lzwflLufQRn3nzp3F3+fOnYucnByEh4c7cpXtjvkt+kjroNz5oewbJty+TRhMTvoYgDjwHFQq1BcUQFdguq5bn5ZmdXne48ehc3BnFLdE4azcc91QUoLc556TTct74QUo1CqwGj0ULi5gRqPFvdfrS0sBhQJu/fsjbNVKFLz2Gsq/+hpwdRVv5SZ0hfd/5GGxgS5tmEsb7tLbuUkb81Ktfa06He/8UPZ8UO58UO78UPZ8UO5yDv12M2bMGJSWlqKyshKJiYkYN24cFl659pGYZGZm8i6CU6Lc+XH27OsKC1H05mro0k6hYPkryF/+CuoKC2XzCLdvMxQVWTwWBp67vHEjWHVVo9dbdKXhL7t+3drjBuQtWABDSYn4uHznTqRfNwK1GRnyGevqwHQ1cAkNRfTPP8Fv6lSoAgLgEhkJj6FDEbVjO9xHjoT/I4+g60cfQu3vjy5LliDuVBpiDv2BgDmzxZHgA+bMlg0+JzTYFUqlxXTp/22Bsx/vPFH2fFDufFDu/FD2fFDucg795lNQUAAfHx989913uPXWW3HmzBls27bNkatsd4xmXUFJ66Dc+emo2QuNdaGBrks7haz7pkKXdgp1hYXIW7gI5ybdjarf/0DxmjXQn80QG+dC473JWOMa5LXZOcCVkeELFi9GzZUGeE1GBvLmz2/SKoV7rpfv3Gl6fCZdvDe70tcXEZs+glv//qaZFQqoQ0Kg9vdH0NNPIebAfnT733digz1yzWoEzp0jLls62JwjusLz0FGP9/aAsueDcueDcueHsueDcpdzaPf7uro6AMC+ffswZswYuLq6Qk0jAMvExsbyLoJTotz5ae/ZC13hO40ahco9e+AzaSJqzqQj77nnUF9cLN6qTX82Q7yGHcyI0i1bTK8fcV3DKzG/x7q1e64DKP1sc6PKnPvEE1AoFFAHB8NQUIBz45OhjYtDjY3u+gDE+7aDMVPjPDQUAGC4dAkKjUa853rA3Dnwe3iWeNYcADw2fQRmNMpu42brLHp7brA3Rns/3tszyp4Pyp0Pyp0fyp4Pyl3Ood+mEhIScPPNN2PHjh0YOXIkqqurHbm6dun06dO8i+CUKHd+2mr2dYWFFt3hzc++A1e7wuvPZohd4muOH0N9cROvWLdxGzfp7dsKlixBTUaG+Dj/xReRt2BBs7aPubig83PP4prt30AdGAh9djYU7u7QDhqE6P370PWbrwFfXyh8fOA/ezZijh5BzNEjiD1xHDFHjyD6h+8R/cP36JF6CN3370PAnNkATI1ylaurxS3bbE13Nm31eHcGlD0flDsflDs/lD0flLucQ79tbdy4ETt37kRiYiLc3d1x8eJFLFu2zJGrJIQQUV1hIQr/8xqq/vgDIUuWwHPYUNlz0sHohGvVAdPAcsK04jVrxLPvjSI00IVGu5HJGu1lX30NAMhPSRGn5aekIPydt1F96BDyX0wBFAp43jwGVfv249z4ZCjd3aFNSkLNkSNWV6nw8gQrr5BMUECh1ULl7w+mUECpVKLWYIA+PQNeY8ag+769MNTUyLq5uwQGIu7gr+LZdXtn0Dv62XVCCCGEkPbEoY16rVaL2267TXwcGhqK0CtdOIkJdR3hg3LnpyWzF27ppu3dG2pfX3G6cBs3Q1ERyrdvBwDUHD8ma9Q3q8EOWDbaGWCsvDpgXcGSJQj895MoWLwYgKnBrpbcCaTu/HlAqQQTei6pVKg5cQJnbxoNj2FD4T5wIIIXLYTa3x8Fr7yK8m+/hdfYsVC6uaH+8mUYq6rQ6ZZbEPjgA7j4/HwYLl6E15gxCJw7B/W1tVCq1WBGo8UZ8rq6Ori4uIiP1Vqt1c1z9jPrLY3qGn4oez4odz4od34oez4odzmHnm7ZuXMnevToAVdXV6hUKiiVSqiuDKjUGOnp6RgyZAhiYmIwYMAAnDx50ua8jDGMHDkSPj4+LVDy1kNdR/ig3Pmxlb10MDld2ilxmrT7u/njmuPHUF9QgKpdu1C2ZYv406zB55iV383+l3WNv9JovzB3Li6tXy++VHfiBLKn3AdjVRWUPj5g1dWoO3dOvi6jEeqQEHhcdx38pk6Fx/DhUAcHw7VbNMLeeB1qf38AQNDTT6H7vr0IevopBMydg27/+w4xB/Yj5Lln4RIYiK7vrkO3HdsROHcOFEol1FotlGq1eAZe+nMmPZ3OsHNAdQ0/lD0flDsflDs/lD0flLucQ0/JPPbYY3jzzTcxePDgJjXmBbNmzcJDDz2E6dOnY+vWrZg+fToOHTpkdd6VK1eiW7duOHz48D8tNiHEkS5fRsHyV8AAeCcno3LPHmj79EHBkiVi41d/NgNu8XEWZ9ObfHZd2lA3v3WbpMFuKClB/osvik/lp6QgZNlS2bXt3nfcjqIV/wWrq4PCxQXG6mpAoYAhP9/0IrUaMBiAujpAoYDPpElQ+/mh5KOPwCor4RoXh8h31+HCv5+C7tgxuISFIWLtO7J7q5trzOBy1FAnhBBCCHFuDm3Ue3l5YfTo0c16bWFhIVJTU/HDDz8AACZMmIC5c+ciIyMD0dHRsnlPnjyJr776Chs2bMDnn39uc5l6vR56vV58XF5e3qyytSTqOsIH5d6ypCPCl3/zDRgA/5kz4BIUZHHteqSXFy5cuXZd2zMexWvWIODxxyzPZjeGnXus15eWoUAyhkfxmjVw/9dAePTvLzvjnvvUU6grLATT6aC40j295vhxnBs3HkoPD3jePAbVv/2OgpeXQNMjFu59+6Hu4kUEPPYozk24E6irg1vfvvD417/gPngQsmfMhDowEMELTQPa+c9+BEq1GkaDAUq1Gl03bgAzGsVGfGvdW52OeT4od34oez4odz4od34oez4odzmHfoscN24cvvrqq2a9NicnByEhIeIt8BQKBSIiIpCdnS2br66uDg8++CDWrl3bYG+AZcuWwdvbW/wJDw9vVtlaEnUd4YNybzprI8EL02pOn7F573Xh7Lrw+Pz58w2vTHK9uq3/q1JTUbx6tc1F5Nx/P2qv3I/dtEwjsqfch3N3TEDm2HGozcqC581jUJefD1ZTA01cHKJ//gnRP/8El8hIKDw84DNxIsJWrkTUju3wGD4cnYZdi6Cnn0LYG69DGx2NmEN/oMeJ4+i66SMEzJkNj/79EXf8GKJ2/k/s9i5coy69Vl06vbXQMc8H5c4PZc8H5c4H5c4PZc8H5S7n0Eb966+/jjvuuAMeHh7w8/ODr68v/Pz8WnQdKSkpuOOOOxAXF9fgvPPmzUNZWZn4k5OT06JlaQ4ldZ3lwplzN2+c69JOIeu+qeJ17LaYN86l0+pLLzd6/Urh/ueA2HiXDjQHmLq/V6Wm2ry1W/bMmciecp/pHuoN8J87B91/OQC3/v0BlQr67Gy4DxyIqB3bEbZyJbrt+gGdRo2C5/XXQ+3vD7W/P7r97zvEHvoDQU8/BQBQ+/sj/M03EDBntuyMunT0ePPpbY0zH/M8Ue78UPZ8UO58UO78UPZ8UO5yDj1VdMTG7ZcaIzw8HHl5eTAYDFCr1WCMITs7GxEREbL59u7di+zsbKxevRoGgwHl5eXo2rUrDh06hMDAQNm8Go0GGo2m2WVyhKioKN5FcErOkHtdYSEuvb9B1hW+4sAvyHvuOdQXF4vXpevPZkB36JB4HXuzMMnt28Rplv8bSkqg2bARtVcmCbd1kw40BwCsuhrZU+6DQqOxuLWb581jULHzewCA0tcXKi8vGGtqUF9QACgUUIeGAkoljEYj1BoNFMzUKO+66SMwoxH1tbWykd9dAgMR/uYbsmvabXWFb8/XrzvDMd8WUe78UPZ8UO58UO78UPZ8UO5yDm3UR0ZGNvu1QUFB6Nu3LzZt2oTp06fjiy++QFhYmMX19Pv37xd/z8rKQlJSErKyspq93taWkZGBhIQE3sVwOu0xd+l165V79oj/C9eqN+a+6zXHj6G+uLh5BTBvpEt+v7T+fQCW916XDjYnXLtu1OmgUKmA+vqrt3WzRqGAJi4OYStXym7t1vnZZ6B/Jg+FS5dB0707AufOEV8iXLduc5FXRoi39VxH1h6P+Y6AcueHsueDcueDcueHsueDcpdz6LfYwsJCPPLIIxgyZAj69u0r/jTW2rVrsXbtWsTExGD58uXYsGEDAOCBBx7AN99846hityo13ROai7aUu7Q7vL2u8EJXd/3ZDNn/tq5db5D5/dbtDDonu5XbkiUwlJTAUFKC3KdM3dP16emASiW/9/qVweb0Z87Irl1XXHMN/KZORacRI6Dw9DTN7+oK98GD4XP33VD6+QFqNbT9+iFy00cA5Ld2AwBNSAjC33xDvJWb8GPtVm4dvbHeWG3pmHcmlDs/lD0flDsflDs/lD0flLucQ9O4//77MWzYMOzZswcrVqzA2rVr0adPn0a/PjY2FgcPHrSY/t5771mdv2vXrigtLW1ucbkwv5yAtI7WzN3ayPDCrdw6jRqF0s8+Q+mWLeg08nroMzP/eVd4gZUz6tJr1wuWLEHgv58U77desHgxtD3joTXrDVO+cyfyX0wBFApxJPizN94EKBRg9fVQd+4MQ2kpUFcH15gYuISEQBMVhYoff4ShuBg+Eyei87PPoK6oCPmLX4LqmmsQ9H+PQ6FUwmgwgBmNUKrV4m3dQl5cBKPBAODq4HKNubUbsY/qGj4od34oez4odz4od34oez4odzmHfiPOycnBs88+C41Gg/Hjx+PLL7/E7t27HbnKdiczM5N3EZzSP81dl3YK5ybdjQtPP4P85a+IZ9nPTbobuQsXQZd2Sjz7Lj3DLowMLz3bXrplS+NWauvMuo1r183vu17wn//Irl3XnTiB7Cn3wVhVBXVwMIzV1Tg3PhkFy5fLVqs/ky4bWC5qx3aog4OhDg5Gt10/oPvenxG9exc6jRoFrxtvRMTadxD09FMWg80J165fumGU2BhXqtVWB5tTqtWtPjp8R0d1DR+UOz+UPR+UOx+UOz+UPR+Uu5xDvzW7XhkBWqvVoqSkBL6+vihu7vW8HVRbG7jPWdjL3fzadF3aKeSnpEATGytev1389tuoOXoUNUePAjBds67PzBSnuQ/oj+I1a9Bp5PWNLxSDza7wsu7vkjPrgOmMe/BLixu873rN8ePCxgN6PVBXBygU8Jk0CSEvLkJNRgZyZt4P3ck02boDrnRxF6j9/RG1YzuAq41w88Hm7J1B17i5NT4T0mKoruGDcueHsueDcueDcueHsueDcpdzaKM+JiYGJSUlmDJlCv71r3/By8sL/fr1c+Qq253g4GDeRXAawmjw9dXVcDXUIVdtavAq3d3F0eGBq9emS0eHFxrrvpMmAgAqd+1q/IrNz7BLfq8vrxAn5f0/e+cdHkW1/vHvbirpBUJISIAQEhICoYtSRbEhiHoVwYKoV0WseIteRUSv4PVnLygocr0qiIrYUBREKVKlh2AghBRSSEjZZNOTPb8/wg67my0zuzN7ZrPv53l8JLuzc85855z3nPeU9zz9NFoKCwGYL4U3Ln9nra3Q+PnBUN+xhN5QXw+Nnx+asrPNIsPrf/0NrKUFAWlpSHx/BQDg5OTLgOZmhM2YgfgXl6L+jz9QOPcu+PbogdhnFgIAApOTMWDbVmHpuxFrDror0eGpzPOBdOcD6c4P0p4PpDsfSHd+kPZ8IN3NUdSp/+STTwAAjzzyCEaOHInq6mpcddVVSibpcRQUFFDkRhexjAofcd7xPvf2O2jKyUHsokXolp5mFg3eEmN0eKcxnWXHhX+31+hw7u23AXSODA8A5c8/DwDQ+Puj+c8/AQA+ERFo1+lwetp0RM25A9qgYASNHg2/+Hi0FhfDJzoK+l+2IGTyZLRXVXUs8S8pESLDG/euB6akwDc6GgCQsm+v2XL24JEjkXb0CNpbWjo54kove6cyzwfSnQ+kOz9Iez6Q7nwg3flB2vOBdDdHsd57e3s7Bg8ejOzsjqW8Y8eOVSopj6YbLUW2S2P2cZxduhQ9n3wS3dLThL+j77sPTQcPImLmzcLMul/fPmZL3o171SUHnbPco25x9npLUVGnn5Q8+SRazpwR/jbuZy+6915oAwLMI8MD5ke5+fqCtbUBGg38BwxA2JQpCL36KmEpfJ+P/isEkRP+v2iR8LfxGDfj0ndr5677nN8KY4mtz5WEyjwfSHc+kO78IO35QLrzgXTnB2nPB9LdHMWceh8fH/To0QMNDQ0ICgpSKhmPp3v37ryzwAXjUngGIHjcOFQuX27mqBv3shc//jhaT58WHPPmU7lo3LcPTZdc7NyedQffWR7d1uPxBWYz7IX33AODlRMWWk6eNL9dY6Pwb0NbG3y6RyOgfzJai4s7vm9vR1tVFSKmT0d7VRV8evVCe2kpAgYMQPf5D0Cj1QpL4S2DyFkLKmf6txG1Rob31jLPG9KdD6Q7P0h7PpDufCDd+UHa84F0N0fRdbbJyckYO3YsbrrpJoSEhAifP/zww0om61EUFRUhPDycdzZkxzLYnCWmS+F9wsM6OerGveytp087TsxyRt3SeTewTtHgLSlbvBgRN9+EildeFY5u02/5FYW33d5xgUYDMHbBoffzAxgD/P2BpibAYICmWzcEpKZCGxSEpj//BDMYEHn99Wg5cwYBAwYg5uGHzGbPjXSahTdxxrtiBPiuWubVDunOB9KdH6Q9H0h3PpDu/CDt+UC6m6Oox1BWVoahQ4fipMksZkVFBTn1JpgOdqgdW+etn3v3XdTv3InYxYsRce1UAJ2DzbmMZVR4K3vWjdHgy559FobmZuGnpQsXQuOjBWtssnn7pqNHUfbnnwhMT0PCsmXwjY7G6VtmoenoUfj16oW+az9Dxdtvo+aLL4GgIETfdhuibp2NssXPwa9/f3Sfd7+wBN7oiBtn2Y3OOuA4wJxaZ9flxJPKfFeCdOcD6c4P0p4PpDsfSHd+kPZ8IN3NUdSpLy0txYYNG8w+Gz58uJJJehxhYWG8swDggsMeOGwYKpcvR8TMmaj++GPhGDe/mBizvevGWfbAQelCJPjG/X8ITr1DTGfTbZy73lpaJlxy9rnnoA0JFhz3c++8A+DCnnWNnx8MDQ2Ajw+asrIu3FujAVpawABoQ0PhExXVsfT93DloNBr4REdD4+PTca2PD0LGjReCy/X55GMzZzt24UL0WrTIzFnv/eYbZrPrtmbZvcFZF4tayry3QbrzgXTnB2nPB9KdD6Q7P0h7PpDu5iji1Le0tKCpqQnt7e2oq6sDYx1emk6nQ/3547iIDkpKShAVFaXY/U2XwQMQHPeKV18FAPT697+FyPDn3nkH3R95GI379iEgub/ZMW6SZ9stg82ZYLkU3uigG/9/9oUX4NuzJ+o2buy4QKOBob4exfMfFP6GcRk7YzC0tSEwPQ29XngBxQ8/gpbiYoAxRNxwA3o89CDOPP43NB45Av/UVPT930cAgGNZWRjkIGKm5dJ3yz3slp8T4lC6zBPWId35QLrzg7TnA+nOB9KdH6Q9H0h3cxRx6pcuXYrFixdDo9GY7XUICwvD448/rkSSHosro0yN2cdR+vTTYK2t6DZsGCJvuUU40s3amesABMe9+fypBJIiw9s5b93035bB5nq//ZYw+127cSNK//UUDI2NgFbb4ZwbHfTz/288fFj4tzY6GoaqKiEJnx49EDRsGCLvuB3Fjy2AX3w8fHv0QGBKCgKTk5H0/Xcdgen8/YUZ9L7/XQVmMJjNqIdFRJAzzgkaWeUD6c4H0p0fpD0fSHc+kO78IO35QLqbo4hTv2jRIixatAjz5s3Du+++q0QSXQaxJwMYHXhDYyO03bqhx4IFqFm7VnDOW06eRNCokc7vY7d02C2OcTN11E2jwZcuXCj8u2btWmhDgqFb95UQbK5h9x7kTb0Wsc8uQthVV6H5xEn4xsbCPzERbTU1aD1zBho/P7TX1iJ0yhQ07NyJ9vp6sJYWRNx4I3o9uwhNubkouHMuAvr1Q8LKD4Rj2FK2b+t0nJtGqxW+N3XajcvljdCJDPwg7flAuvOBdOcHac8H0p0PpDs/SHs+kO7mKLqn3lWH/uTJk5gzZw7OnTuH8PBw/Pe//8WgQYM6Xbdy5Uq8+OKLMBgMmDx5MpYtWwY/Pz+X0nYXZWVloo5kaD6VKzjwANB09Iiwl90u1pbBW8yumzrsxiXwNWvXCpeceeQRGPR6oK2t03nraGkxS65q5YfQhoai/8Yf4Rsd3bHUfvFzaD6ZC1wFdH9wPro/ON/q+epAh/Pd1tQE38BA4fPA5GSk7tguXG+KrePcHCFWd0J+SHs+kO58IN35QdrzgXTnA+nOD9KeD6S7Oao+L+u+++7DvffeizvvvBNffvkl7rzzTuzbt8/smtOnT2PhwoU4cOAAevbsieuuuw4rVqzA/PnzOeVaGpGRkfLdzCLQnNns+rPPduxFB3DurbeEn5QuXAhtYABY83nn3MqRa23FxYBWi+AJE9BaWAjf2Fi0FhejtbAQYAzamBhETJ2KhgMH0HT4MBhjwnJ73+hoIZgcYD2QnKVD7hsYaPVzOY93k1V3QhKkPR9Idz6Q7vwg7flAuvOBdOcHac8H0t0c1Tr15eXl+OOPP/Dzzz8DAG688UY8+OCDyM3NRXJysnDdl19+ienTpyM2NhYAcP/992PJkiVWnfrm5mY0mxx1Vltbq/BTOEb0igKDecS5topznS4xBp87+8ILCL/heuHM9cChQ9F0+HDHueqWtLTA0NICnx7dodGEQxsViZaTufDp3h1ob4dvz55oLSsDDAYEpqcjYdk7whFtbU1N8AsKMnPYmcGAdovZe+N3asJTVnJ0RUh7PpDufCDd+UHa84F05wPpzg/Sng+kuzmqdeqLiorQq1cv+BpnczUaJCYmorCw0MypLywsRJ8+fYS/+/bti8LCQqv3NAbwUxPl5eWIcbD/vSk3F6Um0eIBoGb16k7XsfPB55pPnMDZf7+AgIGpSFi2DNWfroZvRAQaDh6Eoa4O2vBwBA4cCP8+faD76ScwvR6+iX2Q9OknwnFtAMyWyJse42b8zu/8XhbLvevGmXY1I0Z3QhlIez6Q7nwg3flB2vOBdOcD6c4P0p4PpLs5qnXqleDJJ5/EggULhL9ra2uRkJDAMUdA9Pll6rY4++KLqPrvR7Yv0GgAHx9hFl4bFoaIGTPQcuYMAlNS4BsdbbaHnRkMQiA5ZjCg17Md564bsbVnXc6l72rAke6EcpD2fCDd+UC684O05wPpzgfSnR+kPR9Id3NU66klJCSgtLQUbW1t8PX1BWMMhYWFSExMNLsuMTERp06dEv7Oz8/vdI2RgIAABAQEKJpvuWnMOgb4+gKMwSc8HEEXXYS6n38G2tsBX18EZmQIR7pFz7sfwIVI75b72MWeu04QBEEQBEEQBEF4Bqr15mJiYjB8+HB88sknuPPOO7Fu3Tr07t3bbOk90LHXfty4cXj22WfRs2dPvPfee7jllltEpcHOz27z3FtfUFCA4OBgm99HvPkGIs7/2xgpPmzxs51m15nBAL1pVHrCLo50J5SDtOcD6c4H0p0fpD0fSHc+kO78IO354C26G/1UZi02mgka5ugKjuTk5ODOO+9EZWUlwsLCsGrVKgwePBj33HMPpk+fjunTpwMA3n//fbz44osAgEmTJuG9994TFTzhzJkz3JffEwRBEARBEARBEIQtioqK0Lt3b5vfq9qpVxqDwYCSkhKEhoZCc/64N3di3NNfVFSEsLAwt6fvrZDu/CDt+UC684F05wdpzwfSnQ+kOz9Iez54k+6MMdTV1SEuLg5aO6eJqXb5vTvQarV2RzzcRVhYWJcvkGqEdOcHac8H0p0PpDs/SHs+kO58IN35QdrzwVt0Dw8Pd3iNug4PJwiCIAiCIAiCIAhCNOTUEwRBEARBEARBEISHQk49RwICArBo0SKPO2bP0yHd+UHa84F05wPpzg/Sng+kOx9Id36Q9nwg3Tvj1YHyCIIgCIIgCIIgCMKToZl6giAIgiAIgiAIgvBQyKknCIIgCIIgCIIgCA+FnHqCIAiCIAiCIAiC8FDIqScIgiAIgiAIgiAID4WcegBNTU2YMWMGUlJSkJmZiSlTpiA3NxcAUF5ejquuugoDBgxARkYGtm3bJvxuyZIlSE1NhVarxddff212z71792LMmDEYNmwY0tLS8NJLL9lMv6GhAbNmzUJycjJSUlLw5ZdfCt899dRTGDx4MIYOHYqhQ4fis88+s3kfe9faS4MXatbdyPHjxxEUFIRHH33U5n02bNiAESNGICAgoNN1Z8+exQ033IAhQ4YgLS0Nr7/+ukNdlEbNut95552Ij48XyvDf//53p+5z8uRJTJkyBZmZmRg0aBDWrl0rVSZF6Cra/+tf/8LAgQORmZmJkSNH4qeffhK+ozLfGUe2ZtmyZUhLS8PgwYORmZmJpqYmq/f58MMPMXjwYPj6+nbS9eTJk7j00ksxdOhQDBw4EI8//jgMBoMEleRHzbpff/31QlkfOnQotFotvv32W6v3MRgMeOihh9C/f38kJyfj7bffFr6rqKjAtGnThPI+Z84cNDY2OiOXrHQV7d98801kZGRg8ODBGDJkCD755BPhu8bGRtxxxx3IyMhARkYGpk+fjoqKCmfkkg016y7FRtjr18yfP9/s/QUGBuLNN9+UqJT8qF17sX0Se/YGANatW4fBgwcL5T4/P1+CSvLTVXS3Z2sAYOvWrRg1ahQGDRqE9PR07Nq1S4pM7oERrLGxkW3YsIEZDAbGGGNvvfUWmzhxImOMsblz57JFixYxxhjbu3cvi4+PZy0tLYwxxvbs2cNOnTrFJk6cyNavX292z8zMTPbNN98wxhirrKxkPXr0YMeOHbOa/uLFi9mcOXMYY4zl5eWxHj16sHPnzjHGGKuurhauO3PmDAsNDWUVFRVW72PvWntp8ELNujPGWEtLCxs3bhybPXs2e+SRR2w+R05ODjt06BB76qmnOl03e/Zs9tRTTzHGGNPr9SwzM5Pt3bvXkTSKombd58yZw1577TVRz2HvPpdccgl7//33GWOMlZeXs8TERHbmzBlR91WSrqL9Dz/8wBoaGhhjjB06dIiFhYUxvV7PGKMybw17un/99dfskksuYTU1NYyxjvLa1tZm9T6HDh1i2dnZ7Pbbb+/0rq677jr2xhtvCM+bkZHBNmzYIE4ghVCz7qbs27ePRUdHs+bmZqv3+eijj9jkyZNZW1sbq6ysZImJiSwrK4sxxtgjjzzCHnvsMcYYY21tbezKK69k77zzjjiBFKSraL9582ahbhQWFrLo6GiWm5vLGGPstddeYzfeeKPwjPfccw/7+9//LkId5VCz7lJshL1+jSmlpaUsMDCQlZaW2tXFHahZeyl9Env25sCBAyw1NZUVFxczxhirra1l9fX1EpWSl66iuz1bU1xczPr06cOys7MZY4w1NTWZ+VxqgWbqAQQGBuKaa66BRqMBAIwZM0YY+fr8889x//33AwBGjRqFuLg4bN26FQAwevRoJCUlWb2nRqNBTU0NAKC+vh7+/v6Iioqyeu3atWuFNPr164dJkyZh/fr1AICIiAjhOr1eD8aYzZFVe9faS4MXatYdAJ577jncdNNNGDBggN3nMI5O+vr6dvru8OHDuOaaawAAwcHBmDBhAj7++GO791MatesuFnv3MdW9R48eyMzMVMVsfVfR/uqrr0a3bt0AAIMHDwZjTJghozLfGXu6/9///R8WLVqE8PBwAB3l1cfHx+p9MjMzkZaWBq22c9Ot0Wig0+kAdMxgtra2olevXnZ1URo1627KypUrcdttt8Hf39/mff7617/Cx8cHUVFRmDlzJtasWSPkp66uDgaDAS0tLWhoaEDv3r1FqKMsXUX7yy67TKgbCQkJiI2NRVFRkZCfhoYGtLa2oq2tDXq9nrv2atZdio2w168x5aOPPsKVV16J2NhYu9e5AzVrL6VPYs/evPLKK1iwYAHi4uIAAKGhoQgKChKtkRJ0Fd3t2Zply5Zh9uzZSEtLAwAEBASY+VxqgZx6K7zxxhu47rrrUFlZidbWVjNj1bdvXxQWFjq8x6pVq7Bw4UIkJiYiJSUFS5YssWn0CgsL0adPH5tpvPnmm0hNTcXw4cOxYsUKxMTE2EzX1rWO0lADatJ9z5492LVrFx566CGXnmnEiBFYvXo1DAYDKioq8NNPP3FfKmWJmnQ35mfIkCG49tprcejQIZtp2rvPiBEjhKVTeXl52Llzp+p0BzxXe8v0k5KShPtSme+MPd2zs7Pxxx9/YOzYsRg5cqTTy1hff/11fPHFF4iLi0NcXBzuuOMODBs2zKl7KYWadDfS2NiINWvW4O6777aZpr37LFy4ELm5uYiNjUVMTAzS0tIwffp0h8/hbjxVe1M2b96M6upqjBo1CgBw3333ITQ0FDExMejZsyd0Oh0efPBBUfdyF2rSXQkb8eGHH4p+f+5GTdpL6ZM4ai8KCwsxceJEDBs2DAsXLkR7e7vD53Annqq7KZa2Jjs7G42Njbj88ssxdOhQPPTQQ6ivr3d4H3dDTr0FS5YsQW5uLpYuXerSfV588UUsXboUhYWFOHbsGJ566ilkZ2c7da+HH34YOTk52LlzJ5YsWYLKykpZrlUTatK9oaEBDzzwAN5//31h5NFZXnnlFej1egwbNgyzZ8/GpEmTHI58uxM16Q4AL7zwAk6dOoUjR47g7rvvxtVXXw29Xi/5Ph999BH27NmDoUOH4rHHHsNll12mKt2BrqH9L7/8gsWLF2Pt2rVCXaEyL422tjacPn0a27Ztw8aNG7F8+XJ8//33ku+zbNkyzJo1CyUlJSgoKMCnn36KTZs2Sb6PUqhNdyNffvklUlJSMHjwYKd+/9lnnyE9PR2lpaUoKSnBiRMn8MEHHzidHyXoCtofPXoUc+fOxdq1axEcHAwA+Pnnn2EwGFBWVobS0lJERETgmWeecTo/cqM23eW2Edu3b0ddXZ0wE6om1Ka9XH2StrY2HDx4EBs3bsSOHTuwc+dOvPvuu5LvoxRdQXdrtqatrQ3btm3DF198gX379qG6uhqLFi1y6tmUhJx6E15++WV89dVX+PHHHxEUFITo6Gj4+vqirKxMuCY/Px+JiYl273Pu3DmsX78es2fPBgAkJSVhzJgx+P3335GdnS0EF5k/fz4AIDExEQUFBQ7TyMzMRHx8PH777Ter97F1rZQ0eKA23U+dOoXCwkJceuml6Nu3L15//XV8+OGHmDNnDmpqaoT7XH/99Q6frXv37vjvf/+Lw4cPY9OmTdBoNBg0aJAzMsmO2nQHgPj4eGFp8fXXX4+wsDDk5ORIvk/fvn2xbt06HDp0CN988w10Op1qdAc8X3ugI2jM3Llz8d133yE1NVX4nMq8NN0TExMxa9Ys+Pj4oHv37rjmmmuwe/duhzbeknfeeQdz5swBAMTExOCaa64R7D9v1Ki7kZUrV5rNNFqz8fbus2zZMtx6663w8fFBaGgo/vKXv+DXX391RiZF8HTtgY5ZsmuvvRYffvghxo0bJ3y+YsUKXH/99QgMDIS/vz9uvfVW1WivRt1t2Qip/RojK1euxJw5c2xuF+KFGrW31SeRam8SExNx4403olu3bggODsYNN9yA3bt3y6Ca63i67oBtW5OYmIipU6ciMjISfn5+mDVrlmp0N4Pznn7V8Morr7Dhw4ezqqoqs8/nzJljFuQhLi5OCPJgxDLIQ1tbG4uMjGS//PILY4yxiooKlpCQwHbu3Gk17UWLFnUK8mAMcGcaGCI3N5fFxMQIgRossXetvTR4olbdLa+zFyjG3nXnzp0T8n3gwAHWs2dPVlJS4vBeSqNW3YuKioTrdu3axaKjo4XAJVLuU1ZWxtrb2xljjG3cuJElJCQIgd140xW037p1K0tISGAHDhzo9B2V+c7Y0/2FF14Qgns1NDSwkSNHss8//9zus1gLajh48GC2cuVKxlhHgMIRI0aw1atX272PO1Cr7owxdvLkSRYcHMx0Op3dZ1i1alWnwFVHjhxhjDE2bdo0tnDhQsZYR3DVadOmsSVLltgXxU10Be2zs7NZnz592MaNGzt999BDD7E5c+Ywg8HADAYDmzdvHrv33nvt3s8dqFV3Z2yErf6PTqdjwcHB7MSJE3Z/727Uqr2UPok9e/Ppp5+ymTNnsvb2dtba2sqmT5/OXnrpJfECKURX0N2erfn999/ZuHHjWFNTE2OMsfnz57MHHnjAjiJ8IKeedXRmAbCkpCSWmZnJMjMz2ejRoxljHQViypQpLDk5maWnp7MtW7YIv3v++edZfHw88/f3Z9HR0Sw+Pp6Vl5czxhjbtGkTGz58OBsyZAhLS0tjr7zyis309Xo9u/nmm1lSUhIbMGAAW7t2rfDd1KlTWXp6OsvMzGQjRoyw29mzd629NHihZt1NceTUb968mcXHx7PQ0FAWEhLC4uPjhaidP/zwA0tOTmYDBw5ko0aNYlu3bpUqk+yoWffLLruMZWRksMzMTDZmzBiz9KXc5/3332f9+/dnKSkpbNKkSezo0aNO6yUnXUX75ORkFhMTIzxDZmam0OmgMt8Ze7o3NjayO+64g6WlpbH09HTBQbTGqlWrWHx8PAsKCmLh4eEsPj5eGFg5cOAAu+SSS9iQIUPYwIED2T/+8Q8hGjEv1Kw7Y4w9+eST7I477nD4HG1tbeyBBx5g/fr1Y0lJSez1118XvsvLy2NXXHEFy8jIYGlpaeyuu+5ijY2NknRSgq6i/eWXX84iIiLMbI2x011ZWcluvPFGlp6eztLT09kNN9zAfbJCzbpLsRH2+jWMMbZ8+XI2YcIEl7SSGzVrL6VPYs/etLe3s8cff5wNHDiQDRo0iN1///02T45wF11Fd3u2hjHGXnrpJZaWlsYyMjLYzJkzVRn9XsMYY7xWCRAEQRAEQRAEQRAE4Ty0p54gCIIgCIIgCIIgPBRy6gmCIAiCIAiCIAjCQyGnniAIgiAIgiAIgiA8FHLqCYIgCIIgCIIgCMJDIaeeIAiCIAiCIAiCIDwUcuoJgiAIgiAIgiAIwkMhp54gCIIgCIIgCIIgPBRy6gmCIAiCIAiCIAjCQyGnniAIgiAIgiAIgiA8FHLqCYIgCIIgCIIgCMJDIaeeIAiCIAiCIAiCIDwUcuoJgiAIgiAIgiAIwkMhp54gCIIgCIIgCIIgPBRy6gmCIAiCIAiCIAjCQyGnniAIgiAIgiAIgiA8FHLqCYIgCIIgCIIgCMJDIaeeIAiCIAiCIAiCIDwUcuoJgiAIgiAIgiAIwkMhp54gCIIgCIIgCIIgPBRy6gmCIAiCIAiCIAjCQyGnniAIgiAIgiAIgiA8FHLqCYIgCIIgCIIgCMJDIaeeIAiCIAiCIAiCIDwUcuoJgiAIgiAIgiAIwkMhp54gCIIgCIIgCIIgPBRy6gmCIAiCIAiCIAjCQyGnniAIgiAIgiAIgiA8FHLqCYIgCIIgCIIgCMJDIaeeIAiCIAiCIAiCIDwUX94Z4InBYEBJSQlCQ0Oh0Wh4Z4cgCIIgCIIgCIIgAACMMdTV1SEuLg5are35eK926ktKSpCQkMA7GwRBEARBEARBEARhlaKiIvTu3dvm917t1IeGhgLoECksLIxLHnQ6HcLDw7mk7c2Q7vwg7flAuvOBdOcHac8H0p0PpDs/7Glfr2vG8Z0lSLskDsHhAU5f09Vw9plNf9eGJq8o87W1tUhISBD8Vlt4tVNvXHIfFhbGzamvqKjglrY3Q7rzg7TnA+nOB9KdH6Q9HxzpXq9rxrFtxRg0IR4AhH97izOjFFTe3YtpOW5pabGpfXNNHY7/WonBFychLMy6Uybmmq6Gs89s+ruG1lqvKvOOtopToDzONDY28s6CV0K684O05wPpzgfSnR+kPR/s6V6va8be7/Kwb0M+GnQtaNC1CP8mpGHUsl7XDMC18m55L8IxpmXXW20N73Ljrbrbgpx6zvTp04d3FrwS0p0fpD0fSHc+kO78IO35YE/3Bl0LsneUujE3XRfLARFXyjsNrriGPe0ZY2b/d/YaNeJKuXH2mU1/RzbeHHLqOVNWVsY7C14J6c4P0p4PpDsfvFF3nrM3pml7o/Y8sHzfYnVnjHmsM+MIHnXAm8s7D71Ny64t7RtqW7B97UkAwPa1J9FQ29n5FXNNV8PZZ7b8XUFesWJ59ETIqedMczMtdeIB6c4P0p4PpLt05OgoeqLurj43z1k/07Q9UXtTeC9tFYvl+7ane6P+Qpn4bXUOtq7OASCtY+8JurijDlgOiLhS3j19cMWod2Wx3i1lw9K5rKvuvAw8d3851izeg5ryBiSPiEFNeQPWLN6D3P3lkq5RM86UG2ef2drvfl9V6jFauQNy6jmTlJTEOwteCenOD9KeD11Fd3d26OXomIvVXU2OiicsxRWjl6eXeU94D9awpfuxHSX4/u0jAAC/AB9UFNShvKAOsUlhkpwZT9VFTqzNdDpb3rvSTHGTvlXxsmHNuTywtqZT2a0s0SM+JQKznrkIV/41A7OeuQjxKREoy6sRbFdliR49+4Vh4JhYjLt5gHBNVYlesfzLhbPlxpYujp7Z8nfXPToMwWEBKMurcfVRugzk1HOmsLCQdxa8EtKdH6Q9H3jqLqfD6mkderG6e9pz2cPR7I0c5cGWXqZpk61xD5bv25ruufvLsX3tCWg0QN8h3WEwMGh9NOiRGIKEtCjFnBleg2VKznzbmunctzlHtntZG1xR08CjJe5YaWB8/rI8XSenNKyXb6eyO3pqP1x132AEhfkDAILC/HHVfYORMipWsF2jp/bDRdOTcGhzERp0LcI1o6b2U+w55MCVFQa2dHH0zJa/YwYGXXkTUkbF2v2dmsut3Hj1kXZqoK2tjXcWvBLSnR+kPR946m50wPpl9vCoY6vk6Ch6Ynl35bktZ2+uvv9CJ0y4RqHyYJl2v0l+st2bB56wJNra+7ZW5itL9OgzKAoTZw9EUJg/6muasX3tCUTFBWPU1H7QaDW46r7BYAbHzypFFx62R0wdcAXjjOWEWakICvNHQ20Ltq3JQV1FvWz3qirRAyNizK5Vqx031fvgz0UAlKkzxue/6cmRiOlz4Ri1oDB/pF8VhkHp5k6pRmv9+DHTz8Vco0aklBtLnH1mZ3+n1nKrBOTUcyY5OZl3FrwS0p0fpD0fnNXd9CxeNTSI7nJ05OqYi9VdLQ6cK8+du7+8Y4+0BkgeEYMzOdVYs3gPJs5ORbKDjp5ULPWylvaBtQxhPuWyp+0OlHYM5cDW+77kpg7nxtR2jD7vuBsJjggQnHgxTo4RteuSu78cv336J9rbDOg7JBplebWy1wFLLY0znY0N0o/3snUvMYMr9nBXu2FaBvsO6Y6CrEoAwKYPs3H948MVKRvWzgpPTk4W7Yhb2i45bX+9rhkHfy4ANBoMm5KomPZKlRspqKXNVBO0/J4zeXl5vLPglZDu/CDt+SBFd9PlanIsC5drOba79n7KGbxIjO5q2dPq6nOL3SvpamfMml7W0g6L9fGIvamWeErwLFvvOy+7IyK1qe2QY0bSGV3c3fGvLNGjR0Io2loMGH1tkkvbCmzZRVuanc4/LTkNKe/FmRUSSm8nMpbBMTP6o+yUDv7dfBAcEQB9dZPsdcbe84ttXy1tV2WJXlbb36BrweFfzuDw+eX8SiHnCgNnlsdLaTO9yfmnmXrOGAwG3lnwSkh3fpD2fJCie2WxHvs25CO2fzi6hbg20yHXcmx3zgK7srTQEke6u/O5HOHqc4uZvXF1ptWWXhNmpeCiaRcChQWF+SP96vBOS2I9ATnLn5LYet9Hjx61+RtXZnCl6sJjVn/01H44d0aPz5fsA+DaDKbUZcNKtq1qXSFhLIN7vssTygZjDAc3FaKmrF62OuPo+cVob2m7Co5V4rPn9sIv0Ie77eeJ1HJuqmOP5ADUlDXY1E2t5VYpyKnnTGpqKu8seCWkOz9Iez4kxPbD3u/yRHWmm/Stwv8Dgzv2JTszyi3WYTUec2V63JUl7nR05Fxa6Ki8q8mBc/W5Hc3eyDGAYUuv6tLO+4lTU1NVvzfVGmpY2ioGW9oOHDgQgPUZMlf2t0rRRWxZk3uZuEarsfrc7iiHSrWtztRbUw2UXIpv1NW0bFQU1uHw5iLc/K9R6N47xOU0xDy/GO2NtmvktX2Rd6ACAUG+yD96DgNG9sTYvwyQxfablrmuOjNt2gb4ddOgtZFZ1U1NA+buQrJTf/z4cRw7dgwAkJGRIRhvsTz88MP49ttvUVBQgIMHD2Lo0KF2Pzdl1apVuOuuu7B+/XrMmDEDAFBeXo477rgDp06dQkBAAJYtW4YJEyZIfSxu5OTkICMjg3c2vA7SnR+kPR+yj5zAgQ3VojrTxr5Ac0ObS6PcYh3WxrpWs/9bw52OjpxLCx2VdzU5cEoHbZJjAEOKXp5qazw1eJaRnJwcJCWmyD5DJkUXsWVN7iBacs4MSl02rFR5d3WFxKhr+ykeqEzJOiPm+cVob7RdFYV1QsC9SbcOFGyXq7a/obYFv62+cALC1tU5mDo/U/Uz01LLuWkbkJWVhYyMDKu6qWnA3F2Iduqbmpowc+ZMbN68GQMGDABjDLm5ubjiiivw2WefISBAXEX9y1/+gn/84x8YN26cqM+N5Ofn4/3338eYMWPMPn/iiScwZswYbNy4Efv27cP111+P06dPw8/Ps6PeEgThvTg7syHHjEhDbUtHoB0A2z8/Af9uvk6Pcotdjn1wU8cRWAc3FSIhLcpqJ0Rsp01tgf0c4ekOnBTkGMBwp172ypKnlTN3UpHbhD2r9lidIQvrHghA+VlEHoNlcs4MmjrGP7x7FNc+mCnLrLMzuLpC4qcVWYrlzVo9lHsPtdjnd2QTLG2UMeBep8+dsGW5+8ux5X/H0drcDq1vx+/LC+rwycJdmHxHmmpnpp0ZBBPbBqhpwNxdiA6U99JLLwEAiouLcejQIRw+fBhnzpyBRqPBf/7zH9EJTpgwAb179xb9OdCxV+Wee+7BW2+91Wnw4PPPP8f9998PABg1ahTi4uKwdetWq/dpbm5GbW2t2X+8oaXIfCDd+eGt2ksJBuNskCF7v+vTpw8A+x2d3P3lWP3sblSVNnRca+g4C7b/8BinAj6JWY69ZvEe1FU2AQDqKl0PbqS28969tbxbw90DGK5qb68sSS1ncpyVLPYevM9lDkSE1QB6Z0/r3BYQUmxZk9MBFBso0hGmAQF7p0WivqYZ618+4NAuKmVrnFkhYapBTJ+OwQglj5kz1kMlgo6Kef7U1FTRNkGuMmdazytL9AiJDECfwdGYs2Qs5iwZiz4Z0QiJDFBtsFA5AoLaK/PeNGBuRLRTv379eqxcuRIRERHCZ5GRkVi+fDnWr1+vRN4EXn31VYwdOxYjRoww+7yyshKtra2IjY0VPuvbty8KCwut3mfp0qUIDw8X/ktISFA032LIyclxfBEhO6Q7P7qi9mI60TydzYbaFvzycce2KWsdHWP+/9xditbmdvgH+qD/8B4ICPJFW4sBufvPCqPco6bKF3isskSPnklhCI/pBgAIj+mGnklhsnZCeDs4XbG8ewpq0d5YBl2t/7ZsiGUZ5z2wFdK/EVfdd2HGLSjMH8kje+LPXWWqiugvtwM4emq/Ts/tjM00dYwvub7jSMyYPiEO7aLc5d0Z22mpAQC0tXY4r0oP5PA8NUKs9nKWOdN6PnpqP8x65iJce365fVCYP659MBOznrlI1jZbTuQYBFOLjVcLopffNzc3o3v37p0+79GjB5qammTNlClZWVlYt24dtm3b5vK9nnzySSxYsED4u7a2VhWOPUEQno3c+zKdHcm39jvjcsj29jabS0KN+U8b2wv9hnTvtActMjZIuJ+co9xRvYKR9Vux2VLNunNNSL0o1vGPbWCpgdzvhvAe7NVDqcd7Ze8olTdzFvdXUxm3do632va3KhFES66ZQdNlw/rqjv71xTcko0dCqFP5chZnypXps7ojUJlpPeRdxhzZBCX18MRZaW9cHq80op36bt262fwuKCjI5neusn37duTn52PAgAEAgLKyMtx7770oLS3FvHnz4Ovri7KyMmG2Pj8/H4mJiVbvFRAQIHrvv7ugpZl8IN350RW1FxO9XawTIGWPWUVRHXZ8fgLjbk5BcHiA1d8ZOzqX3JSEsKhgux2djAnxiOkTJvytdCNbVVovOpK5GKxpxxtPKO9ddX+4K9rbq4euBENzZcmt8bdZ285g9LQkm++K97nM1nRXWweetwNoD6NOUsuZu2yNWHuhtMaW+lx1bwaCIy7kx51lLDGuHzZ98KeQF2vvSm49eNdzI862H3IMRKSmpnbZ9ssZRC+/P3XqFG644YZO/11//fXIy8tTLIPz5s1DaWkp8vPzkZ+fjzFjxmDFihWYN28eAOCmm27Ce++9BwDYt28fiouLMXHiRMXyIze0dIQPpDs/lNCe9xJrR9HbxS65k7p8sLq0HiUndfhzZ6nwu75DolFRVIfVi3Yjd3+5sByysOQ0AOtLQh11CpQa7Tddqlmva0bW1jMYf0uKU8sFbWlXmF0FgF/HxxNsDe/l2nJjtAdHDmTb/d6WvbBXD51Z4ms62OfskltTG5K9oxSVxRcGvkw790rsKZaKtTKvtplEuZbKK4WxnFWX1SOyVxCqy+odljO5bY0tp1GsvVBSY2v18LPn91rVR+kylru/HGue2+vQJsiphxrquZAXBdsPR7Y6Jyeny7VfriB6pv6NN96w+Z3xeDkx3HfffdiwYQPKyspw5ZVXIjQ0FLm5uTY/d8R//vMf3H777RgwYAD8/f3xySefeFTke61W9LgKISOkOz/k1N44QhvbP5zb8lNH0dulLLmzNZJflleDqhK9zZFofXWT8Lv6mmbkH9mHXuf3phvTsNTd2dkgR0gZNTftbDla6unovta02/K/48jaeka2Z3MGV8o7zUA4h7Esjbwl2u73tsqavRk1BkiabTu2o6Sj/gMIDPZD9dl6yUtuTW1I77RInDneEVH80tsHIm5AhFB/N63MRqO+BRqthuu5zK7aeCXLvdQI5bwwlsH08fH47s1DmPbwUGRvL7Y7qytn2ypHuyDHQI6t96WmlRaVJXpExvvj2vtG2c2LXANbXfn8dcv37chWU1/eHNFO/Zw5c2RJcPny5ZI+t+S3334z+7tnz574+eefXc0WN5KSknhnwSsh3fnhiva2DP6Uu9JlzKF4jI2r4fzyPmP0dtPGVUrnw9YS1fL8Wnzx4h+dGjbjssJ+md0x8OI4AEB9TceI9iU3DjA7Asma7kp0DpTa3+vovpbalZyswdnTtdw7Pq6Ud3ftlXb3Mk53DVbEx8c79TtHS8WlHO+1fe0JaDRAnyHdUZanAwxAeM9uZvVfyoCVvroJXxz/AzF9QpC7/6xZ/T195ByYgWHCrFQMGhfHzdFxtX1VstyrLf6ALUZP7YeGuhbs/a5jJWy3ED+HS8nl6tc4aheUtBdinbpB4+KQvaNEyAPP7Ryjp/ZD5pQ4BAaaz8Dbyour9k9NAxqAvO2H1PqZlJSE2rMtsqXv6Yh26t9880273z/88MMuZ8Ybyc3NRUZGBu9seB2kOz9c0d6WwTfacncbdWP09obaFlQU1CE8phuCwvzNGlcpe0mlHh20dc0JAMC2z06iR58wRMeFmDWwZkGLrOiups6Bqx0DS43U8mxqtzVyr9QQlabCjpWxDBUVFaH3gM4Bfh2VNWdm1GzV0T6DojBx9kCzMhgVF2y25FbsgJXpu2prZYiODDQr4/U1zdi+9gTqzwdX4+XoqL3MewIarcYswKKxrNorg3Lpbs92NpisDFHCXoi1DY11rVav47HSQqPVWNXeVl5ctX9qik+hdPvhyFZnHzmB07+1Kpa+pyHaqT948KDN76xFOiXE4esr+hUQMkK688OW9s6MXhsN/cGfCwC436iLid5uz0EQ+8yWDduOL07i8C9FAICQyADoq5vx2XN7kT4+DlXn99paamFNdyU6B84452I6BlLvy6vjY/lOXbE1Ss+gd8VlnKZl6dR2PTJHtpiVJXcOYlgrg+NvSUHW1mI01LVIiihu7V1Vl9Vj0q0DhfwHRwRYLePudnRcbV8dlXtXZjql1Cne21+a6i/EaBFTVuXq19iynSf/OIs1i/e41V6oJRicI9zZp1RLfAol2g978UEsy3/u/nL8sboKPr4+Xab9chXRpXDVqlWirvv9998xduxYpzPkbdiK1E8oC+nOD1vaVxbrsW9DPmL7h4uK6txQ24JNKzsCYVWVNqDv+eWt7jTqrkZvFzNib61hKy+sRXCEP6Y9PBTRcSGoLNFj/csH8OfvpfAP8rXawFnTXUrnQEwH1xmHSUzHwJn78ur4GN9pbP9wHNtWjKRRzh3P5w7nk9dqBqWcNsuyVPRnlVlZcvcghrWy1qBrwR8/5CNp6IU6L8ZxkfKupAwYKkFiYqKQfr+hPXD6UIXofIgp92JnOjst5ZZYp3gu1c/dX45fP+mIpt47LRLnivQOy6pc/RpbNtJWeyenvRDr1KnN2Zeivdry7iz2bFJ9crhk+2P6vsXEB6ks0SMuJQKTb0vnvtJQLcg+tPTQQw/hwIEDct+2y5KXl0fL1DhAuvPDmvb1umZkbSsGADTpHUeQNxr8tlYDgiMC0NbSjrJTOoy5vj+KjlW6zagbZzSMEVoHTYiXdTbYlhMy/pYBSDFxFqPjQjD40t6oKtZ3Wupr1EJMmbfnCDjq4DrrMDlyVjx1NrlJ37E8tD1Yh+6xwyT91l3PzGM1g5xOmyWWZenA3iMoP6gRypJatmSYItbRlPqueDmk9bpm/PrlEQy5eAD2bchHRM8g0fmQu9ybalCaq/MoO3L2tA6a8zHA2poNmLFgGPZ9d9puWVW6XyOHvbDbxoh06uIU3gLgDGK157HdSSnslYdzZ/SS7I9l3RcTH2T01H44ln0MjDFF+l+eiOxOvaePPLmbgAD1BmrpypDu/AgICLAaDOf0oXMALuyPN8WWwR9/SwoyxscLBr++usmtRl2IIG/RgRY7G+xoxN6WE1JT1tDpWkcdLjFl3hVHwFmHyVG+1eiI2cPynfr7S++wueuZXVnN4MxMsNKDFZZlKTSyG4bfN0AoS3IPYriyZYgxJkkPtSy5BRwP/hXsa0DKYOuDs/YQW+6dmel0pk7xmlHN3V+O4ztLzRzar185iImzU9F/WA+bv1O6XyO1DForJ7baGLFOnWVwSLUMzojRXu0D1FLtmZw2ybJ+iokPotFqEBDQOZiiWk6w4IHsTj3tr5dGbKxzSzMJ1yDd+REbG4uGanMjbLp38ODPBZ2OhbNl8BvOR3q3F51arYgZsZczyJ6rZd5RB9dZh8lRvtUUFMgRpu/04M8dMQ+io60fq2YPT3hmZwaAlHTagM5lyVjmjZ/L7RhL1cCyzscmhSk2eKOkQyrmuYXgpQbx+RBT7qXMdJpqIHmlA8cZ1coSPXqnRlotF/acP7X1a6TUD7FO3Z5v8wAG1Q3yitFe7QPUcq7ucTUGjtj4ILGxsWiqdimrXQo64I8zBQUFvLPglZDuFzAuHa/XNbslPUvtc/eX48flR4W/q0obsPrZ3cjdXy58NnpqP1x134VOldHgm0aQBvg581IbsNz95VizeA9qyhuQPCIGNeUNWLN4j9kzA/I6IWLKvDH/WdvOmJUHyw5uQ22L6Dy5+k6UnKGUs+ybvtO+Q7qj6nxchS0f5VjVyx5qmpWVE8t6bOyom0WCF1HWxKImO2+tzh/fWYrkkT3t6mGK2PIqp4ZSsQxeajyhQ0w+HJV7sXYT6KxBo41tXdbSlJKOEhjriXFZMWPMbrkwoqbybgtbbaXYNn70tY5tCA/EaC/G/nUFnLE/zrZ5BQUFXSZGgRzI7tSTqNLo1q0b7yx4Jd6su2XH0Dg626BzT8evW7duZkb4z92laG1qBwAEBvvBL1CL1uZ25O4/K/xGzU6OMw2YccR+1jMX4cq/ZmDWMxchPiWiY8ReIRyVedPnyN5RisrzUfR5d3CVRM6yb3ynY2b0R9kpHfy7+aBbmD8ade1YvWi3R+glZZDDmY6Uq06b1EEYOey8vTSlaGCtzvdOjbRa5x0dhWWvvEqpr84ManXEPzkDoPNzmwYvrSyph9ZHg9bmdmh9NKgs0btsN+zZTdNnMWpQXVaPyF5BqC6rl5Q2D/tsiuW2LuP7dtTeqa1fY1k/7LWVYtt4tfYFxGjvzrzbqtty2TNbyNFfkGKXtAZ/bgOYakQWp/71118X/v3ggw/KcUuvoXv3zmfoEsrjrbobjaU7nXhLQgLDzYLhFGVXQuujQd8h3QENoIEGPRJDERkbJEt6FUV1WP/KflQU1clyP1OcbcB4jNjbK/Omz9E7LRIA8NOKLOTuL3e5g+vulSC8ML5TfXUT4lMiMHvRGEx7MBNgQI/EELc5BK4gdpBDqZlgR2VN6iCMHHbeVppSNZCjzjfqW8z+bw0p9dWZQa2qknrh7HTT5zbakLrqJgSF+8HHp8NRueQvyeg3pDsGjYtz2TG2p6Hpsxg1uOKeDFSXNuCKezIkpe1JM6qm9lVN/RrL+nFsR0mXHRwGlO9TWrajjtpVm3ZLhD374d2jOHfGuXoqx4CYWLuUu78cO/9b2mXLlDPIsqf+1VdfxaOPPgoAuPvuu+W4pddQVFSE8PBw3tnwOrxV9wZdi9AhM+LOpUu5+8vxy8fH4OvreyEYDgMmzjYPhhMVFyxbB6q6tB4lJ3WoLq1Hj4RQWe5pxNk9cjxmG+yVedPn0Fc34YvjfyCmT4cj6ur+bp7HQjlCzrJvLQZA/fmYD5fcOADde4e4nIYaUDLYk9yxBJSy885oIEedb6xrMfu/NZSMx2B6zFpCWiQqTI5ZM9qQ8TNTcPrMSfTrPQDb155Aa2ObkL5Gq3EpH2I1NGpQUdgxkNstxE+SBmqZDRZjn0zt69ladfRrrNWP7WtPoHvvEFwzb4gq95O7itJ9Sst2VM521fR99U6LxJnj1Vj/8gFcevtAyTbdnfFgKkv0CO3li2n3jeqSZcoZZHHqacm984SEdI2OnqfhrbqbzvA4OgdWCSpL9OjeJwhX3z3MYYRT3svpxGDmwJ2PHDv+lhQEharviBp7Zd74HKbloa2VYdCEeNV0cE2R4wxupcq+qS6mnXJPKM9yn5cOSHtXjsqa1EEYOey8tTR5BLxqqG0Rgi8e/LkICWnRVsurPQ0t34VUPStL9OiRGIrinGqMmdEfIZGBwnOb2sKQmpBOga4cBSt0FWt1zfL5PKEOGrFnn0zfoylq6ddYqx+/fHQMbS0G4V2oMfinK6hFeyO26rYje1Zf04zPj+8TBvWl2jM5+gti7dLoqf3Qc7C204qarlKmnEGW5fcU8d55wsLCeGfBK/EW3S2XaOnKG4XvNq3Mxupnd4teuiTHMurRU/vh0jkDLnRGNUBUXDDSx8WZXSdn50uIvqyAoTfNp+mSMTV2Hu2VeY1WY3UrwWfP7XV5KZsSK0Fc3QvvjjgBPIOVOYPY/EpdmixX3AJn9HTVzttK093Ls4Wl7VUdg5/VZ+uditNg+i6c0TNjfDzaWw3CbwAIz21q80x1Nx30VGobjrVn8bT6Z4oj+2T6Hk3tqzv7Nfbep7X6Mea6ZJSc1HWyA2psK51Bae0t21F77aqtsi/Gnhnvd/ENyVy2m0iptxqtxqruXaVMOYPomfoFCxZY/ZwxBp1OJ1uGvI2SkhJERUXxzobXoVbdXZmBdHQmbP7RSmz/vCMSsX83X9RVN4IZ0OkcWFujs3Is99JoNWbam94zJDLQqXvao7JEL0Rf3rrmBLonhiI6Tl0j6u7CUZk3Ha1njOHQpkJUl9W7NPvI81goeyg902q6nLFHcgBqyhpUdR6xJWo/L93ZJf+u2Hk5l9i7SmWJHj37haGxrgXlBXUwtDFE9gl2urwWHa/CwZ8LJT2bFD2s6a7UNhxr+fpk4S4AgI+fVrHzwOVYLWQLsfapqb4Ve787DaDDvvab5Ieo0e7p19h7n97oVCnZp7RsRyfdlmqzXbVVT1PHxCJnd5nd+su7vXbG5qq1L88L0U69vb0ithx+wjHeMmOsNtSku2nnwJWOj73fFh2vwt7vTwPQAOgYifXx1SIyNtjq0nclcZf2O744icO/dCxXDYkMgL66GZ89txeZlyVg3E0DZE9P7Iy0kp1BezjS3XT5bEVhHQ5tLsLN/xqF7r1DnMqzknuvXZ39V3rfn2mn/FxNGbpHxKp6r58YJ8LZcivHSg2xTo5lHl2xNWo6UzqqVzCyfis22/NaVVyPIZf2lnQf4zvQlTdIfjYperizfbWWr69fPQAAmLFguGLvTslYIY7sk/E9blyRBa2PRrCvf6xpR0BzMeprmt3evjjCU48dE2v3lCrzlu1owbFKfPbcXvgF+lhtV23V04rCWrv1V8n2WizO2FxndefVD1Ma0U79okWLbH5XUVEhS2a8kaAgeSJ8E9JQk+6mnQO5MevEpUagsa4VFQV1CI/phqAwf8Qkhoo+612uRtlUeyUb+vLCWgRH+GPaw0MRHReCyhI9vnvzECoKa2VPS8oIN6/AcY7KvL0ZWGfyrJRTJMdsgtKzzaad8qCWINXv9RMzyOFMGZBr5kfsIIxlHl2x8+4M+OSIqtJ6q4Esq0vrRd/D9F1UltQLAcsAcc8mRQ9ruitl663la9YzFwG4UJ/VXv8ssWuLTd6jRgvMWDAM0XEhHccJfnQU5QW1yN5Rqnj7IuV98p4BdgWxdk+pPqVlO/r7lydx8o+zGDCyJ8b+ZUCndtVWPTW0GaD11Xb63Fgn1DCI6YzNdVZ3NQfwdQWn99QzxvDDDz/ghhtuQFJSkpx58irKysp4Z8ErUUp3V/cNutLxsXcmbPGJGpzNq0VdZROSR8SgrrIJZ/NqEdkrWJQjI+f+RKP2Su95nPHIMNz54jhhuX10XAjufHEcrntkmKzpeMo57lLKvBwdcCn7jsXWG0/R2rROmequ5LJUV2yPEoMccr4rZ/Pnip139zYDMXuUgQt72Y2BLMVg+S50FY1W34W9ZzP9zjSv1n5jqbuzx2WJKdPW0tdoNTY/lwseM8+m77H/8B7QaDT4+pWDyN1fjqAwf/S/NACDxokrE64gpe121g542lGoSvUpLdvRS25Ixp0vjsMlNyQD6Nyu2irjpg69Kaantli21+NvSQFjcNs7cMbmkg9ljmSnPi8vD0899RQSEhJw44034oorrkBBQYESefMKIiMjeWfBK3FVd1sNjjNBoYydgka9806uozNh9TXNaG1ux5gZ/c3ODhUz0yO3IxUZGekW58xWI2brc2eRei4rr2WIYsu8tQ6bM3mW0kCLrTfGvcUDx8Ri3M0DnDoD1924y8bLFZDOFs5ESnf1vGJX8+hJ7au99+dqIEu534Wjsmaqu2m+e6dFor6mGetfPiAq30qXaWfhFYTP9D1ede/gTu8xMjKyY4cdlGtfpLbdzpY947uvLNZzde7F2j2lbI1le2nrFAlXB6xstct//KC++mdKZGSkUwNAnrodxBGie7effvopJk+ejIsvvhjNzc3YuHEjYmNjcf/99zsVpGDVqlUdo4xffw0AWLJkCVJTU6HVaoXPjNj7jjGGZ599FikpKRg8eDAuvfRSyXnhiZ+fH+8seCX2dBdjIKx1Nup1zcjadkZSPkw7B9+/fQTVZ+slO7nWGtnta08gPKab0JDe/vzF6Deke6f982Kim0ptlB3p5+fn59YOv1Ij/sb7DhoXJ3pGmmdEZke2pl7XjI0rjnY6EWH1s7ux6cNsAPyjSI+e2g8XTU/Coc1FaNC1KB51XA66go13pty6O0K8tTx2Be2NuGIz3f0uTHU3zfcl13fMLgrHZXkgPFcLOXqP7c0axdsXqeXQ1bKnK28QnHt3I8XudSVbIwXeKyr8/PwkD/558skYjhC9p/7222/H5ZdfjqNHjyImpmN/hbNH2eXn5+P999/HmDFjhM8uv/xy3HLLLbjrrrs6XW/vuzfffBNHjhxBVlYW/P39PW4pRnl5uaAn4T6KTpcif4/eapAMZ/faNOhakL2jFIC40T/TwCSRvYI6jptjQP/hMRg/M0X0fiZre6G2rv4T0fEhQkNqeWawETGju1L3OTnSr7y8HKOnDnLbflVb+XE1UIqjyP0NdS1m9+cdiMaRrWnQteDUgQr0To3ElLsHISjMH8d2lGDbmhy0tzU5zLNYPa1dJ3bUnEfkdVdxl41XaubB2XLrzndlK49J47shZoZntK+O3p8re/zlfheO8lpeXo7ggPCOej4uTrCP+vODyhffkIweCaEup8MDnnuP7b3H3P3l+OXjHPj6+iravkgth86WPeM7b6pv7fi/vtWZ7DqNVLvXFfvyYuqfHHvTXemLlZeXo2dYHwBA1rZijJ7Wz+49ePfDlEa0U//LL7/gww8/RFpaGq666irMnTvXKUNrMBhwzz334K233sLjjz8ufD569Gibv7H33f/93/9hy5Yt8PfvcF5iY2NtXtvc3Izm5gujSbW18gfMkkp0dDTvLHgl3fxC8asLhsiasTM2PoC4YDCmnYNuIX5o1LcKnYPkETGiO2zWGtmr7x9i9bfOdOLk7hBGR0erwjlTOlCK5f15B6IRa2suuTFZKLf66ib0G9Id429JQXB4gN08i9XT8jqpQZTU2NG3hztsvJKBqHiXWzHYyqOh0TPKiJj3pwabCYjLa3R0dKdBT6llVK3B1dQUQNGUyhI9YvqF4Mq5mYrWU3eUQ9N3n7P7LAD323updq+r9eXdWf9c6YtFR0eDtXSUjewdJchwMDDgCe2ZK4h26i+99FJceuml0Ol0WL16NZ544gkUFxfjX//6F2699VYMGjRI1H1effVVjB07FiNGjHA600Zqa2tx9uxZfPPNN/jyyy8BdByvN3PmTKvXL126FIsXL3Y5XcJzMY4I+kW02bzGkdNgzdiVnKzBr5/8CaDjyKFzRXqHo39iOgdiGkpb11jOFLsLXk6XrdFepfIj5b71umaAMYy/JUVSxGl3Yu15lO7ASh01V2tHnydKzzyo1YkxxVYeS0pKOOZKHJ40c+RsXqX+zvT6vkOiUXS8GqsX7cak2wZy10QtgyuWjJ7aD2Vnu6m2fRGL+bvvjvyj5wAAu785jYS0aJv2Xu4jyjzB7imFlPrKe5C9qb4NB746Kfzd6GBFR1d/r5IjRoWHh2PevHn4448/sG/fPtTV1WHixImifpuVlYV169bh6aeflpxRa7S1taGtrQ2NjY3Ys2cP1q5di8ceewyHDx+2ev2TTz4JnU4n/FdUVCRLPlyhsrKSdxa8BuPen30b8lF1VgegsyFytNfG1n66P3eXQnO+NrU1GzBjwTCH+x2V7hzwCDIkZq+SrTLv6t4sa89rLz+uNEZintP0/h0BZwpsBsFyFTHa2bM1HVs2cgAAW1fnCM8jpYwanzdr2xm7+TDVRcr+TE+JfG+J0jZe6fgUanViTLGVl6qqKjfnRDo8Ago6i9i8VlZWOl3PLdMZfW0S2lsN6JHomfvw3bXnWKPVWLU1aqqnYjC++zEz+qM0twbGXb766iasfna3TXsvd39Hqt1zV1/eHeVJbH2Va2+6s32x3P3l+Pnt3I4gnAM7AhX+tCLLbp/AE9ozVxA9U2+NzMxMvPXWW3j55ZdFXb99+3bk5+djwIABADqOIrj33ntRWlqKefPmSU4/KioKISEhuO222wAAffv2xdixY7Fv3z5kZmZ2uj4gIAABAeo6j7Cr7cFRE5Yjt6Z73kuPdozmmc72iRmdNF26wxjDoU2FOJNTjTPHq+AXeGEv29evHMTE2anoP0z+s+fVitjRXVtlXu7l8PbyEzcgwukZXzHPadnYjbpW2UBuYrSzpbvxeYwj1bryRskzhabPm72jFP2H97SaD0tdrro3A8ERF66zN2ouZtmc3LM1cqC0je/qMw+u4Antqye9P3t5Na17YUFRTtdzy3Tqazqcl0tuHIDuvUOUejTFcOd52J5Q3h1hfPc/rjiK1uZ2+HfzRcLAKBT9WYXWpnbk7j/LfbWGNaRqb6utctSGuaM8ibFJcq0wcmX1XWWJHt0TgxEdG4aKgjoAgNYHOHtap8oy4g5EO/Vz5861GRhPo9Fg5cqVDu8xb948M+d90qRJePTRRzFjxgyx2ejErFmzsHHjRjzwwAOoqqrC3r178fe//93p+7mb1lb3Bv/wJuwZvwZdSydDJMZpMDV2FYV1OLS5COnj4hDWvRsmWvkdT8Pi7mVRYvcqKVXmLZ/XVn5y9591qTFy9JzWGrufVmSZ5Y0HtnQ3Ps+gCfH49o1DuPLeDBzbVix6j5np8/ZOi8SZ4x3Pe+nt5ktlreny2fN7repubdRcTEfDnR1osSht47v6zIMreEL76knvz15ejXXP198H+zfmQ+ujdaqeW35uatfVqIma8ITy7gjjO46KDYaGoVM7GxkbbPV3vJeBS9XeVlulhjZMTL2UY2+6qwMDo6f2Q8OXehzbUoKAbhcm1f7cVYae/cK90rEX7dSPHDmy02cNDQ149913UVJSIsqpt8e///1vvPfee6ioqEBWVhYefPBBHDx4ED169LD73dKlSzF37lwsW7YMAPDPf/7TbmA9tVFdXY34+Hje2fBoxM7ONeovLA0KCNVi/MwUABAMkbN73AeNj0NMnzC7v3M3PPYei51xslXm5VwOf/X9g23mZ8+3eYCVzoLYxsjRc1o2dpUlenz9ygGzvMn9LsRoZ0t34/OUF3QEDg0I8rU6+2arbpk+r766CV8c/+PCkVUmekrpBFhLVy3Oj9TVAGTj+UHaux9dRSPC4nwx7b5RLgei6goxNNzpbHal8j76WvErWNRQTtylPe/BCyNyrDAS2yew1eZqtBpUlXVsCbjy3gwkpEV1ucB3UhHt1M+fP1/4N2MMK1euxH/+8x+MGzcOL7zwglOJ//bbb8K/n376aZt77e19Fx0djW+//dap9NWAvWj9RGesVW5bI5umxu/YjhJhz3BgsB9a9AasXrQbvdMiO4KXhfpLdhqcPX5LaXgFXhKrn7Uy70qjLDWokpTOgpjnsfzctLG7kDcN+g+PQfEJ+d+FWO1s2RqNVmPzHmJmDYzPa3qPtlaGQRPirV5nxG4nzcnZCnd0eKTmjWy8+zG2E70ybEekVuNWDU/GWOfSx/XC4JDuLgds86QAgrZwt7Mp1daooQ7Yc9isYfm51HKi1DNL1d5WW2WvDVPD4IUROQbZxfYJ7LW5GRPiUZZ9CgFBvnbv4S1IDpT3zTffYNCgQfjyyy/xzTffYPXq1ejXT9n9ol2ZhoYG3lnwKCqL9di3IR+VxfYD5pgav00rs7H9sxxozkdThQYwMAOCIwNw6kAFGnQtkh1wuQKEKIHaAy9VldeaBXpxNQCa1KBKSs/4WluiNuuZi3DVvfK/Cyna2bI1rupvPCPZ8h6fPbfX7B6KB4ZUaZ30ZhvvriBhlhg7gdUVdQ6vcWcgUVPqdc3Y8cUJ7PjypNv1sYWz78u07u34PBfVFZ2PC9ZoNZLur/Z2zBE8AntKtTW864AceZBaTpR6Zina22qr7LVhnhoo1h6u9gkaaluw//tiAJ318tatOqJn6n///Xf885//RGtrK9555x1ceumlSubLa6it7dz4ERewHFVtOn9cRZPJsRWWI5uWI7enj5yDwcAwcfZADBoXh4baFny3fB9ieoWhqqRecp7UPoMgNpgRr5H5yjIdDmyolu38djUHVVI6CJYt7cryalBVojd7z7ZsjT39w7oHAnA88y332a9SZ9zdWSel5s2bbTzv/aH1eun23al0nLCrDboWHP7lDAAgdXSsKlYLOPO+cveX47dP/0R7mwF9h0SjLK8WW5bXQnN7SKe6J+X+nhRA0Bo8zsP2RlujlnIiVntbbVXqmFjk7C6z2YZ19fPV7WGtzTXq2N7epsp+OC9EO/Xjx49Hv379MG3aNHz33Xf47rvvzL5/9dVXZc+cNxAXF8c7C6rGshNgrNPG/1tbjmRp/OprmrF97QnUVzcB6DD6U+5OQ2utL7J3lEpeqqt24yommBHPICw9evQAUC387WqjrOagSkrPTtvSrjy/Fl+8+IfZe7Zla2zdo17XjI3LOwL8OVrqJ2fHypklhu6qk87kjWy8+zHagQ5bY/8aObZqqMGu8qKyRI8eCaE4k1ON0dcmITgiAJs/Oupy3VNLDA1n4eFsSrU1atif7WoenN02Kfczi9XeVltVUVhrtw1Ty+CFu7HV5hp1HHJ1DOISe6quH84L0U79M888YzP6PeE8tbW1iIqK4p0NVVKva0bWtjPC3w21LTj4cwEA4ODPBWhrNWD3+lOdRjYnzErBRdOShN8FRwR0Mn4VpdXI2lADQPreJDmMqxpmzHlRX98xe2ZsVOXqvKlpv5m7kKKdLVtj7VqpM99yvUNnZ9zd0eFxNm/ebON5OA2mdmDv1wWI6xPTyQ6owVaYasI76JURZ97X6Kn9cO6MHp8v2Qego+4NmRaNPol9ZLm/p8JjUEKKrZGzDjjbn3F3PVQyPbHa22qrDG0GaH21nT43tmGulCdP7W/aa3ONOubn5wPwnkEOR4h26p999lkFs+G96PWesT/MHdg7V74wuxIHfy5ES1M7AKCqtAHbP8tB94RQXDNviNnIZnWp9SWXpsHLfvu4EL6+vk4t25GjseY1s8O7U9VQ24IjGzv2gMnZqKp9S4S7sfaepdgaXqtRpKbrqLMiZwdaylYHU7zVxvNwnC3tQMGxik52QAlbIdWuNtS24LfzgVsBYOvqHEydn8l1ENLZ96XRajo9v16v71T31DCQ4mlIdcbE2hq564Cz2zbc2WYrnZ417aWc4mLq0JsiRxvmqSuJ7PUHjO/MUndPWcmjFKKdekcR5qdPn+5yZryRhIQE3lngjtHwxfYPNzM8TfUX9s0f/LkQrc3t8A/0QUJaFIqOV6GlqQ0hkQGSo+xWlugRlxyOy+7IcNlh8aQRUN6dKmOjysBkb1TlckLd+T6VSsvWe7Zla6zlg9dSP6npurOzImWrgyneaON5DbJZ2oGzxedw8PtSMzsg94CVVLuau78cW/53HK3N7dD6dpSn8oI6fLJwFybfkcZlENKV92Xt+S3LvNLlwZPaYSlItW9ibY0athC6Ow9Kp2dNe+P7i+0f3iXLp9KI6Q94Y/tqD9FO/WuvvWbzO41GQ069k5w7dw7h4eG8s8EVY0T78bcMED7L3V+OLR8fBwD0Sg7H2fyOICQX35AsBLvbtiYHkbFBne7naKRu9NR+yDudJ2kwwFanQc1Hb5mihplsY6OaeHEA0oekyNqoyuWEutNJVCIte+9ZE1Fn1dZYywev/axq3kfrbN680cbzchos7YC+SdfJDsg5YOWMXa0s0SMkMgBhPbph8u1pAIAt/zuO2nON3PaDOvu+bD3/wMvCMfaaIVbvzxjDoU2FqC6rt3p/Z4MOeuJMpNyItTVyD9o6u23DnQPHYtNzdoDInvZN+lau5ZP3Ck1nEdPmemP7ag/RTv2vv/6qZD68lsbGRt5Z4I4xkn1LQxuADsNz9rQOxmrb0tiOm54ciT++zzcLdudsA6DRaqzqbq9zLmengceMuRpG5o2NalZWR/A1ORtxNTuD7sTeew4K6Hq2Rg2dFUd58EYbz2ulh2V9N2pv+rmctsIZuzp6ar9O+lz7YCbXvaDOvi9bz2+5Bc70/hWFdTi0uQg3/2uU1RNKyEG/gFT7JtbWyFkHXNm2IVcexCA2PWfLnzXt1dA+8V6hqTTe2L7aQ7RT7+i4hrCwMJcz44306dM5mIyn4erSN6O9+3N3GYCOc+Ub6pqB84EZ66qa8M2rhzBxdir6DzOPZuxsAyCX7mo+essUNURONaZvqb2aHG93NsJKpGXvPevrre+3VEPHwxnU0FkRk4euYOOlopZBNqW1d8auukMbqW2ys3my9fy1OvP+otLP7Kk2zB7O2Dd32xo1rABUC5bam76/gz8XATAvn+7YMuLO9yP1eeR6fm9sX+1hPTKDFSIiIhAZGYnIyEhERESY/RcZGalkHrs0ZWVlvLPgMsbl85XF0gNCNdS2YPc3pwAAteca0XdId9RVN6GtxYDBk3oDAK78awbiUyJQVXIh+E69rhl7v8tDva7Z5r3tXSNFd9Mo/KZG2bLRbahtcXgv48zGrGcuwpV/zcCsZy4Snk1J1NLJBtRb5p15n2pLy957tqa7O59ZTnL3l2PN4j2oKW9A8ogY1JQ3YM3iPcjdX666PKi1vHsDSmuvJrtqinG2sUGnbH229Zxny8/a/I0jB9yZoIOeaMPs4ax9c7etcUd/xrIfJ6bv5wrODhCZam/6/voO6Y6q8ytXNn2YLZRPd9RRd/U3je9EyvPI9fzUvpoj2qkfP348Ro4ciWXLlqGmpgYGg0H4r729Xck8dmmam5UxTEpjaliNy+eN/xdL7v5yrH52N/RVHRowBpTm1mDczQOQkBaFnN0dke/3fX8aE2alYtTUfsJvxRgEW9fU65qRs61SdKNQVVIvROE3dhqcbXRHT+2Hq+4b3Gk/v+mzdXXUWObd6STyckgtdVeDY+wsvAbHnMmDGsu7t2BPe6WdA2/CUktbujtywKU66J5sw+zhrH1T0tZYqy/u6M9Y9uOUdIZdGSAy1d74/sbM6I+yUzr4d/NBcEQAaisb8N8nduDA+aOZlcZd/U3Tk6rcDbWv5ohefr9161acOnUKH374IUaOHImLLroId999NyZNmqRg9ro+SUlJji9SIab7jowDmlJXvuXuP9sR0b6bDxLTo1F0vAqtze34c2cpdOWNii0ZatC1oGBfAxqmtDhc9pO7vxy/fvInACAhLRIVRXqsWbwH8akRTu1RV+vMjjtRY5l3Z8wBXvENLHVXQ5wFZ1HDdhKxeVBjefcW7Gnflfduu3s5uqWW1nR3tBTY2aCDnmrD7OGsfVPS1qgpoKoSuLpU3VR74/vb812eWfk88lsRtn92EmV5OvRO7VjhrGQd5fF+xD6PXDaK2ldzRDv1ANC/f3+88MILeP7557F+/XrMnDkT//znP7FgwQKl8tflKSwsxMCBA3lnQxKmy9Gb6ltx8Pyo48GfC5CQFiV6X2tEbBD6se6dGuSGuhaHDbUYgyCH0ags0aNHYiiKc6oxZkZ/hEQGClH3L5reX7jOnU6Fpx3fY5lfe2We17Mp4STaehY50nJGJ0vd1eAYO4saOpOO8mB8RwFxjcgcMcht+ZIDT7AxYvLoie2rq6gh1oQ13R054M4GHfRUG2YPZ+0bj/KutK2w7MdJ7deJzZ+rA0Sm2hvfk2X5DAzyAwAkpEZyr6Ny0qi/sKJBzPPIaaO80cbbQ/TyeyP79+/Hgw8+iL/97W+48cYb6Sg7F2lra+OdBdEYl19VFuuFpTY/Lj+KqtIGAEBVaQNWP7tb9NK3i65Nsro0aMajw+wuGRKzRMreNVIahYzx8WhvNQj3AYCr7huM0ddaHx10h1Phrv2ScmGZX3tlntezKeEk2noWV9NyZv8a0Fl3NTjG7oLHUmtPq6emeELexeTRnq3pisHVeC1Ht9TSmu6OlgI7s1TYm2yYGJTsT9qqL+5cDl9Zope8PF5s/lxdqm5Ne8tyaBxs2vV1nst1VC3bh47tKMH3bx8BAAQG+6H6bL3d55HDRpk+uyf5UO5AtFP/xhtvYPjw4fjXv/6FCRMm4M8//8SyZcuQnJysZP66PGrVr17XjB1fnMCOL08KRsNoHGsrLhwh0drUDr9ALZJHxMA/0Aetze3I3W87SI4pthpere+FYmlaeTVajSiDYO8aKXumcveX47Pn91q9j7d2GuRArWXeUzDdv9aobxHdsHuz7jyd1ISEBLenSXRgq8x3xeBqAJ9YE9a0tKa7IwecHHTXUcrG86gvlv24yhI9PntuLypL9IoMWLla/mxpb+zDnjlRha1rTgAA2lrbcdV9GS7VUTUMvObuL8f2tSeg0QB9h3QHNAAYEB7TzebzyGGjTJ/dm/s11hC9/P6xxx7DsGHDEBQUhM8//xyff/652fdfffWV7JnzBvLy8pCens47G52oLNbj8C8dS+xTR8eaLVva+VVHtPqQ6AA01LRAAw36D4/B+JkpwtJ0ubDcxyVmiZSta3L3nxX2TMUMCERNaYPdPVNq3a/naTNMlvm1V+blfjaey4jd8Z4a68TvC1arrfEkpJQn43svLi5G7wHd3ZE92XBUdtWwPF9M/bJW5rvyMVzuXo5uS8v+E4Ix6brhou+jhvLUFVDCxjuqL0q1c5b9r9+/PImTf5zFgJE9MfYvA0T3x9zVX7KlvbEPiw0dfwdH+KO+pgVfv3IQmZclYNxNA9y6ZUTOulZZokefQVGYOHugWR85Ki7Y5goHuW0U9WvMEe3Ur1q1SpYEm5ub8fjjj+Onn35CYGAgMjMz8cknn5ilc9ddd2H9+vWYMWMGAGDJkiX46KOPcPLkSXz11VfC5wCwd+9ePPzww2hubkZTUxPmzp2Lf/zjH7Lk1R0YDAbeWbCKtUj2RqN4/vh4BIcF4Nr5mdj33WlUnR89Vdo4iTEItq7Z820ewIAJs1KRV3gCSYkpdhsFNe7XU8N+SSlYy6+tMq/Es/EKhqXkezLdv2Y8/1YMarU17kCujp3Y8mT6/k/8VovBw1tUXU9NEVN2eQeZE1u/rJV5tQ7WyoG7Z7ttaak/Vy/pPrzLU1dBCRtvr740DIhQrJ2z7H9dckMyxv5lgND/EtMfc2d/yZH23UL8cN2CYYiOC0FliR7fvXkIFYW1wvdS66izbZqcdc1eH1mqLZLy/KbP7s39GmuIdurnzJlj87umpibRCT7xxBPQaDQ4ceIENBrzs5Pz8/Px/vvvY8yYMWa/ufzyy3HLLbfgrrvu6nS/e++9F8899xymT5+OqqoqDBw4ENdee63HjNykpqbyzgKAzqN3pnaCMYaG2hZsWpkNAGhtMaDvkO4oy9Ph61cOYuLsVPQf1kO4Xs4OhKXhEmMQbF0z+toLBig1NRV+fn4Yf0sKsrYWo17X3MnASTU+Ss82eNoMk638jpvZX/S1jp5NjTM8Sr6nYztKOu6Njv1rtZUdW2EKs6vQIzHU7m/VYmvcjbsHwjq//ypV11NTPMHGSMmjtTKvxsFauXGXXbSlZUtz19jO4GkoYeNtveOTf5zFmsV7FLMVlv0sW9s0bPXH3G3LbGlv7Lte+1AmouNCAADRcSG488VxMLQ555CqZXJH7kFEMXbL8tmn3CMuSJ4a+4pKIClQHmMMlZWVwt8tLS14/fXXRR8pUF9fj5UrV+KFF16A5vx0b2xsLICOUa577rkHb731FgICzAUfPXq0zTQ0Gg1qamqE+/v7+yMqKsrqtc3NzaitrTX7jzc5OTlc0rUMsmG6R6WhtgX7f8wXrv3p/SysfnY36qqbEBwRAP9AH5Sd0mHMjP7CXhiplVhMkA+593GZ5tGoe4OuBX/8IM++JKX3OKnhbG4p2MrvyaOFoq919GyONHd1htaZYDRKvSfL/WuMMbS1tAMAsraecVg/eNkansgdOExMebJ8/8NujlB1PTVFbNnluQVISv2yVua9Ye+2u/bb2tLsxMkTku6jZHlSS0Axd6CEjbf1jqtK61XdHynL06FbqB+ue2yo7PmzVqasae+oD2saP0osrrZpat6+6chuWX325/aKenY1xCBwB6Jn6n/44QfMmjULer0ekydPxgsvvICZM2eiR48e+Oyzz0Td49SpU4iKisKSJUuwefNmdOvWDc8++ywuu+wyvPrqqxg7dixGjBgh6QFWrVqF6667Dk8//TQqKiqwfPlyYaDAkqVLl2Lx4sWS7t9VqSzWY9+GfMT2DzcbtSo6XoV9G06jreXCCGLtuSZotB3L1jPGxwvLr+qrm5ye4XC0BMgTZozcjafNMNnK79GjR0Vf68qzyTGa7cxSNaXek+n+tZKTNSjNrYFGq0FEz25orGv1+vphDTmXWostT5bv3z9Ii6vuy1BlPbWcvRBTdnnPEnmaHSTsc664Dj++19EmKFGeaGm/MihdD12dWU0Z3ROHfykCa5c/f2LKlFJ9WFfaNN6221WsPft3y/c5vXWqK87ei3bqn3rqKaxevRqXXXYZvvjiC0yePBn//Oc/sXDhQtGJtbW1oaCgAOnp6XjxxRdx8OBBTJkyBevWrcO6deuwbds2yQ/w4osvYunSpZg9ezby8vIwceJEjBw50ury+yeffBILFiwQ/q6treUemZjHktiOc+aLAVzYO28ctSvMrkRbqwFaHw0SB0WjNLcGzY1tHRWopmNU0tI4KjHDofS+R6Puco5aKj0C6mkzTLbyZe1MUWefzZbmPAeFlHpPpp2oyhI9eqdGYsKsVHQL8UOjvtVh/fDG5fdydTyllCfL92zUXY311LJz2lDXYrWTY8y7q/VKjk6UvfpleX9vLPMA/9k4sbrn7i/Hr5/8iZbGNiSkRaKiSE+Dky7gzvKudH/E1cEY42pgU5R04iy1V6oP62ybptaJMtN34shuWXv2Gx4dDV8fx66stXt3xQE/0Ws/GGOYOnUqAgMDcfvttyM6OlqSQw8AiYmJ0Gq1uPXWWwEAw4YNQ79+/XDkyBHk5+djwIAB6Nu3L3bv3o17770X7777rt37nTt3DuvXr8fs2bMBAElJSRgzZgx+//13q9cHBAQgLCzM7D/e8FgS26BrwelD5wAAjJmP3lWXNSBxUBTmLB2LqQ8Mwexnx6D/0B5Iu6RXp2iWrhhvMZXXlTNDHZGTkyPr8v6uekSSEshV5u1pLtcSeN6dY1NM65tp/dBoNaLqhzcuv5er4+lKefIk3R0tUXS1Xim9BNLy/p6kvVyooS0Sq3tliR4x52OBXHx9siJLuNVkw5XGG8u7Lew5ca7aH2v3ttReqT6ss22aWrdvGt9JVUm9Q7tl7RlzcnIcPrsabKK7EO3Ua7Xml0ZHR0tOrHv37rjsssvw008/AQBOnz6N06dP44YbbkBpaSny8/ORn5+PMWPGYMWKFZg3b57d+0VGRiI4OBhbtmwB0OHk79mzBxkZGZLz5k3UlF+ITLv7m1NY/exuYY9Ke5sB5afrUHKyBsAFQzT62iRJHWF7+9jEVDBXO+OO9tFV5DbJttdW7B6nrri3T+5nEns/R5rL0aCquSGwVg/qdc3Yt+F0lypfakHpQUZXcKUOSnV41KwDIX8MCXvIYftHT+2Hi2/oCJzKGHOpPFnLj5ptOGEd43tsqOt4V84Mxij53sXeW20rK9VuuzeuyFLEbtmziV1xwE/08vsjR46YBaCrra1FVFQUGGPQaDSoqqoSdZ/33nsPd999N/75z39Cq9Vi+fLliI+Pt/ubf//733jvvfdQUVGBrKwsPPjggzh48CB69OiBzz//HH//+9/R1taG1tZWPProo7j44ovFPhZ33Llcql7XjO1rT6Ag60KwQ31VM7Q+GkyYlYpB4+JsLhGSaohsLWtx1xIgR8tqAhGB+JQAWZZGWVtmteV/2Tj6WxF6JV+IWWAtT56+p8fymcQ8j70yL3Y5lKOlba42qGpdqmYPR9p561JkOXClPCmtu+l7ByDanljbX+mok+NqvVK6E2V5f28r8+48rs+evRGre6O+1eoeX2ccH8v82LLhY2Ykob6m2WPbXHt0hfJufI/RvTsixYvd+23sewRHBGD313lW2+6w7oEAnLc/9voFqUPUrb3aBhmMGN9Fj8RQXHH3IFF2y7Sf6ajM27KJZ0/rcPiXjiOBPTG+gC1EO/WnTp2SJcGkpCT8+uuvdq/57bffzP5++umn8fTTT1u99vLLL8f+/ftlyRsPcnJyFF1ZYFr4G3QtOHWgQvjOv5svGAxob2Eoyq7EoHFxigcdUssZwSH9G3HxjMHC3648t7V9PhdN74/Pl+xDg67F/nnWXWxPj5jnkaPMKx2kRy3l1BUsB1iUtjWEddypu1h7Yq1zuvrZ3egW2tGpUSRgmcJBmqzdP6/whFeVebUEERRT5pUeOLVlw8sLapG9o7TLtLmmGHX35MmCouMdE4T6yiZJ5cJo+9LHxSnmxFmWqXNn9Pj5gyyU5dWgKaBcFltj69158ju1hanNbm+9EJzbkd0ybedOFxXY1d2aTUwe2dPjJm3EItqp79Onj83v6uvrbX5H2MdyW4PcmBZ+o7HUaAF2vv5oNVpEJQYhMjbI7Heujt7ZmpFxV6fD0YyQj4+P1c+deW61zFLxwJlnslfmxd5P6VFntXSOpWCpnaWDp7StIayjtO6m791acChrWHZOj+0owbY1OWhvk9aRFovSDpyt+/efEAx4j0/v1tk4e7ZaTJmXe+DUMj+2bHh5fodT3xUx6u7JkwW68gYAwBV/HYTE9GjJ5WLQ+DjE9LkQL0tOJ86yTDEDQ3VZAy6/Mx3nGs5IeErb2Hp3nvxOrSGmTRBjtxzZGmv36AqTNrYQ7dRffPHF2LVrFwDg9ttvx8cffyx8N378eBw4cED+3HkBSUlJst3L0Uie0VhGxAShuqwB4THdEBTmj5jEUFn31dibkXFHp0PMjJCculujk4NlI09qcPSdHQF2ZvkuYFt7NR23otalarawpp0lSpd5wjpSdJdaFy3f+6hrO+y4I3ti2TnVVzeh35DuGH9LSkcUfJk7OUp3omzd39/g+Z1fNeLIVosp83IOnEpqO84n2ZUG1414uo1vqG1BZUnHJOG+7/PRvXeo6HJh733KZX/s9Qs8XXt348o7Me1nOtLdWpvqiZM2YhE9hdDU1CT8+9ixY2bfdUXj6C5yc3NdvocxsIjx7HnTyJ7Gd9Oob0HxiRoAQE15I/oO6Y66yiaczatFZK9goYA7E/zG9DfuDNRjDbHpy6G7LSw7GMd2lFjN07EdJaoI4uNMRFhrOq9+djc2fZgNwP7zWNPe1ns7tr24ywUXlJtj24vx8VM7UX223ky7wuyOlTlGGyC1zHtSYEc58qrU80rRXUpdtKwz1WX1+P7twwAc2xPLzqkxiJKx0yN3ECUlgjSZvi9b9w9NVn/Z5YkzZV5MGyumzMs1cCqlz9HVA+cZdVfDZIFUjO9RV9Fo9T3aKxeO3qtSQeJMdZarT2nr3XniO7WHs+/E8l1nHzlh/3orbaqnTdpIwal1gZaFSuySP6Izvr6iF0tYxdgo79uQL5w5b8S08H//9hHoa5oQHBEA/0AflJ3SYcyM/ohPiUB16YXtE844eKa/4X1shtj0XdXdFtY6GNvXnkB4TDezPIX36IYda09wG/xwFUudx8zoj9bmduirmxw+jzXtbb238oJaRY/A6gqUF9ShrdWAK+/JELTr2S8MWVs7lgMaOzm2yrytjr3Sx4/JiRx5Vep5lbI1pnWm/3DjckUgsleQ5BM4TDszptfI1clRohNl+r5s3cfPz8/p+3sDzpR5MW2sUmXe2fwA7j0ZgBe+vr4eO3DhbN9RzHtVxP5Y6Gxocd1W2np3nvBOpQ4QOvNOrL3rP1ZXdak67CqiLa+p405OvHwkJia69PvKYr2wP8w41sIYM9uvEtkrCLryRvj4ajHupgGIGxCBbWtyUF/d5PKSk3pdM7K2XdhLxHtZi9j0XdHd3hJZa0uKtq7+E9HxIWYjkgmDohAcGYCJKtjT48wIsCvLd61pP2hcHLJ3lAh58Ib9j3IxaHyHdoHBHQ5MyckanD1d2znq8419rf6+q+3VUxtSbI2x/GdtO4PR05Lsvg/TOlhZokfv1EhMmJWKbiF+aNS3Wq1/Yt51VyoPrravRGfEtLHu1F1sm98V9tE62p7TXhWMNe/v8cgAYM72HXm8V2v7wfd+Wo8gVu60zrb2mKeOiUXO7jKn3qk7g+u5o92wetLUJ9l233VXW+HgCNFO/eHDh4Uj7YzH2QEdQun17pmF7Yrk5eW5FDHTdHb+4M8FADpG8mKTwoTCb9nJSx4RY2YszQJ/SKwADboWk0EFxn1Zi9j0XdHdnvGy1jBdff+QTg0T78EPI87uY7e2fFfs81jTvrGu1bqmXXj/o9wYNbLVyTl9vBiDLkmQfD9P0F6OvCr1vGJtjWldzN5Riv7De9rtHJnWN7XYE3ci5n252r52dZwp82LaWHfqLrbN7wp1xJHjdPp4sccOXDjbd+TxXq21sd8t3+eSzrba7YrCWqffaVcaoAWsv+u+E3wxKN36kn01xWlyF6KX3+fl5eHgwYM4ePAgTp06Jfz70KFDiu5P7uoEBDhf0ep1zcjZUyb8XVXagL5DuqOmvAHHd5YieWRP4cxXa/tVLI2lM0t8muovDCqodVmQNVzR3R5iGybegx+AvMsRpTyPWO3FlkdP2vstN9Y0srVXLWV8lNV7WOvYe8JyPyNy5FXJ5xVT3k3rYu+0SADATyuyRNdFsfVPjBPnCYM5Yt+XUnbeEk+0QbzLvLtRQ5srFanlKmV8lCJ7x+XIm1y/tYTHe7XWxg6fEeOSzrba7eseGea2d+oKSrcb9bpm7NtwulOZCQgIsPquvWG7jTVEO/VPPPEE+vTpY/M/wjliY2Od/u2BnwpQeOzCMXV+gVphr3zv1Eire5FsGTpnKkDu/nJsXJEFAOidFim50vDsCLmiu1TjpdYOH6/4B9a0t9RUUvAjD9r7LSe2NDp1sMLq9b169er0mbWOvSc1hnLkVennFWNrTOvixTP6AwBi+oTIWhfFOHGeMJgj5X25YucB8bbb02yQGsq8q6i1XXUV0+eyLFeO+h7WbDygjIPrSpn3tPpiiTU9Y2NjXdLZ1m+1vtbdNFtxUExx1wCtO9oNW2UmNjbW6vPb6t+W5dV0SbthRLRT/+effyqZD6+loKDAqd8d216MI7+anoupARgQHtNN2CsvZSTPGQfv7GkdNOdLUFuzATMWDJPkFPI07M7q7ozxkvKc7uyoKBUR1hGW2lvTVGx5tIzpYPzMGQ09rZMotc5a6m67Y3+Wa7BLKcgxMKX04JYYW2OsiwCEutDWyjBoQrwseRAVsVxmR69e14wdX5zAji9PyloXpbwvsXa+KwSLlIIayryr8Hg37mgjbD2XmL6HO3QnrMNTe8syU69rxu9fnuzYow/nHG2x9pv3JEBBQYHVOmNzxeKo2C5p0404FSiPkI9u3bo59bvc/eXA+cG3nn3DUFPegNbmdoREBghOmZRRQ6n7knL3l+P4zlJotBoheMfXrxzExNmp6D+sh1PP5E6c0d1WIBM5g9C4cw8Ur+WIptrb0nTCrBRcNO3C+aO2yqNlTAfjZ85o6Gn7z6TWWcsyb2sPX2RsEC6a3l/0fXkix35KpfdkirE1Gq3Gal347Lm9stgXMcGk5A441aBrweFfOgbcUkfHylYXpbwvsXbe1brvCVsWTFFDmfdE3N1GGMtTYXYlDm0qctj3cKfurpR5T6svYlBTmc/ZXYZDm4sQ0M3X6b6qWPvtrkCFtsqMLd09cbuNHIh26o8cOSIExzOFMQaNRoOqqipZM+YtdO/eXdL1xmiWfoEXFlm0tbbj+r8Nx77vTiMyNsipQiu1AphGW7asyGKNBk/DLlV3wNx4McZwaFMhqsvqHRov0+d0ZzRStWKqva0GwfSYRVMsy6NlTIer7x+sTKZNUMs7tFx+5yhPlmVeasdejY2hHA230o2/WFujZOdIzLv2lEBiUt6XI+2N9Sa2f7jV78W0UZ4YjEktZd4VPMkxFGOfjdf0TOooi436Fuz7Ph8AcPS3YvRMCsPk29Ps2gZ36A64VuY9rb6Ibe/Faq9E/8GyLugqGgEAV96bgYS0KEUDJrqj3bBXZoL8w4Xje8XYAk+yG84gevl9amqqEBzP9L9Dhw7h4MGDSuaxS1NUVCTp+spiPfZtyBf20gMdAfLWv3wAySN7YvS1SXZ+7Rixy8tcXbrNe++mVN0B82du0LXg0OYiXDS9v91ntnzOyuJ6u0t/pBgcT1subsRUe1fKka2YDoXZHXVDqtEWq70al+SKyZNlmZfSsZdS1jy1XCqFWFuj5HYYMe9abkfPtB4pVRcd4Uh7Y71prGvtlJ6YNor30lO14kz7KgVe/Qdny6UY+2y8Ztf6UwCA798+guqz9UgeEYO21naczatFyckaALZtg5K6G+36se3FTpd5T6wvYtt7sdrL3X+wVhfSx3XEVggI6pi3daYtEWu/lR4gdFRmTh4tEFZrOrIFvP0OdyDaqQ8ICKBAeQoQEhIi+tqO/cPFAID21o5KFhjsB79ALVqb25G7/6zLFUmswXGlIqvBsEvR3YjUZ7b2nD+dd0KtIdXgqMm5lOLImWrvSjmyFtOhZ78wYdRWitHuqsbe9L04U+aNSClraiqXakCs7l1puWBDbQt+O7+fEwC2rs6RVBeNe0Gl/M4aYrU/uKkQgPVgkX2HRKOiqA6rF+3u1EaZ7k0fd/MADBwTi579QlUZf8KduGJrHMGr/yBnubRG0fGOwWh9ZRMiewVBowHAgP7DYzB70RirMQ8sbYOSuhvtenlBndPxGJSO5cBzQFlJ7W1hrS6sfnY3Nq86DqBzX0ZsW+KK/ZYbe2Umd385jv9UBwBIcBCsWw1+hzsQvfy+qy5V4E1YWJjoayuL9Th96ByAjmj3fTK6oyxPBw3ToEdiKCJjg5TKpqy4aw+OPaTobg0xI/bWnnPTyiycyanp9Dt37NdXEil7DV3VHrAe02Hdf/YDAHz8tJI0lKq9s7M1Si7bt5Un0/fih27Y+12eotsGrAUu9HbkKO+eRO7+cmz533G0NrdD69vRiSwvqMMnC3dh8h1pouqicemmrrzRJTvoSPvC7EoAQF1lk1ndj0+NEGx3fU0z8o/sQ6+ksE5tlOnS04rCOhzaXISb/zUK3Xu7v4OvJpQs8zz6D66WSzFthq68AQBwxV8HIWFgFBr1rWZbGsUsaXaHrRk0Pg4xfS6kI2W5tdJLtZWIeSC2vQ8LCxPVxsu5/NuyLhzbUYJta3LQ3tbkdD/SFfutBPbKzN4NpxHdOwhnT+kxZkZ/hEQG2rQFavA73IFop56W2CtDSUmJ1VgF1qg9v08GACJignDpbQMBANvW5CAqLliWZZru2G+ihr2bUnS3ROyeMMvnBDoiWlv7nTMGx1P3BrmivRFrMR2+fvUAAGDGguGSjLYU7V3aS6hQkCWxeSrMK8GBDdVOpS9la4Jl4EJvR47y7klUlugREhmAsB7dMPn2NADAlv8dR+25RtF1cdCEeHz7xiFceW8Gjm0rdrrjZU/7htoWHP2tY+VbeEw3jJ+ZAgCdgkXW13TM+l1y44BOznpXWl0hJ0qWeR79B1fKpRj73HHiS0ccmX3f56N771Crz+WoXCmpuyN7LqbMe1p9kdLel5SUoGdYH7ttvNzxBCzrgr66Cf2GdMf4W1IQHB7glOPqiv1WAntlJmN8PE7s77DhRj1t2QI1+B3uQLRTTyiD2JHVY9uLsf3zk8LfNeWNWP3sbky6daBQMF1eeu+kwZE6A6mUYZeSD2dHtKXM6po+j6PfSTU4ags2I2WAQY7ZBGt6zXrmIgAXdBdrtMVqr8bVFI7yZPpegkOCAVRLTkNKWaspvxDgUA3lUg1420z96Kn9OtWpax/MlDSTV15QC6BjT6grHS9L7Y1tRHBEAHZ/nQcG1qneWKZnWofstVGeOsiqBGJnLZ2Bh2PobLkU02Y4ukbKcylla9zVN3QVOeug1PbekfZK9B8sy4Zcp8HYst/G7Q1KvU8p5cWop8HQLkpPTxtQchZy6jkTFCRuyXz27yUwtHdUTP9uPoAGwj56qYbfGq4YHLUcBSYlH2J1B8wNjbNLeBz9TozBseyQqsW5lNrgS9HeFtb0ctZoi/2dq8u3lOj028tTw4AIs/eSOiFKcvpS7ELu/nL8+nHHPjzjMZu8Bz3UgBzl3ZNwpfOk0WpcHrA0tdeW2hvbiPRxcaLssdi88B5kVcuJHEaCgoJU0y+QA2fLpbNHSW75XzaO/laEXsnhkrRTwtZ4St9Q7jootb0PCgqCod52G++O5d9KnwbTWNcq+/s0tV2W5cWeXTPqmXFlD/TuG9tll9NLxe1OfXNzMx5//HH89NNPCAwMRGZmJj755BPh+1WrVuGuu+7C+vXrMWPGDADApEmTUFBQgPDwjqM+5syZg8cee8zhd55AWVmZw6MwcveXo7ygTvi7tdkAvwCtrPvovWW/iRExuhsxNTTOjoTKMYIqtkPqTpxp8KVoryZceYdKdfpt5enkH2exZvEe4b0UHa/C1o90ktOXYhfMAhe2dQQu3Pfd6S5rQ8TiqeWdB3LMZpna67O11rUXsy9YbF7UsIJHbQ50WVkZeoZ1nQDKzr5jZ4+SvGh6f3y+ZB8adC2S3qcStsYT+oZK1EGp7X1hXglO/9Zxioa1NtZbln9LxdR22fvOsh4Y9czKykJvxJKe53G7U//EE09Ao9HgxIkT0Gg0KCsrE77Lz8/H+++/jzFjxnT63WuvvSY4+VK+UzuRkZEOr8ndf1b4t3EGrLW5HSGRAS4fYWfEFYOjlmWHUvIhRndrKD0bLAZXAtXIjTMNvrPa88bZd6hkp99W2lWl9cJ7KTlZg6LjVdBqgfCYIEkz6FK2JhzfWQqg49q6yiZ8/cpBTJydiv7DOjfW3oSnlnceyO1AWGovZV+w2Lx4gtPjbiIjI8Ha1NEvkANn37ErR0k6gxK2xhP6hkrUQSntfe7+cuxfUw2tj+0gvV1h+bfS71PK/Y26WZZ5T9JTCdzq1NfX12PlypU4c+YMNJoO4WNjYwEABoMB99xzD9566y08/vjjiqTf3NyM5uYLR13U1tYqko4U/Pz8HF4TEhkA/wAftDS1o621Hdf/bTj2fXcakbFBshVgZw0O72WHzuZDjO5G1DZoYQsexsyZBl+K9l0BHp1+0/diDCqYPiUaCX17mUVVdpS+lK0Jsf3D0VDbgoqCOoTHdENQmL8Qudmb8bby7gpyzGaZ2mtT7aW2EWLzooYZOLW0UUbamzXY/SX/foFcuPsdO/s+lbA1ntA35F0HK0v06NEvGFfcOaTLDuwp9T6NZbxR34J93+eb3V9MPaD21RzR59TLwalTpxAVFYUlS5Zg5MiRGD9+PH755RcAwKuvvoqxY8dixIgRVn/7xBNPYPDgwZg5cyby8vJEf2fK0qVLER4eLvyXkJAg38M5SXm5/TMSjTNgrS0GAEBVaQPWv3wAySN7yjZL7yxqOffRmXw40t2IWs4vV0s+LHGmwRerfVdh9NR+uOq+Cw2gscMhx2kVtjDV35h+bUMVNFqNIulH9QrG2bxa4WiwusomnM2rRWSvYNnS8FS8rby7gquzWZZ28kx+x0pAZ9oIsXnhPQOntrYhd385fnwzh3u/QE7c+Y5deZ9qsTXu7hvyroOjp/ZD8uRAt7bx7kSp92la1r9/+wiqz9YL91/97G5s+jAbgP16oJYyrxbcOlPf1taGgoICpKen48UXX8TBgwcxZcoUrFu3DuvWrcO2bdus/u7jjz9GQkICGGN45513cO211yI7O9vhd5Y8+eSTWLBggfB3bW0td8c+Ojra7ve5+8+ircUA/0AfJKRFoeh4lVmAPJ6oZdmhM/lwpDugjr2SasqHXIjRvivBu8NhTMdSdznTN13ub1oHq0vrHf+4i+Nt5Z0X1uzk/jUGhPmUq6atkhs1tg2VJXrE9AvBlXMzu5TW7sDV96kWW9NV65stNFqNVe27ylJwJd6naVmP7BUEXXkjwID+w2PQOy0K29bkoL2tyWE9UEuZVwsa5sb1WufOnUPPnj3R0tICHx8fAMCoUaNwxx13YMmSJQgI6AiEUFZWhrCwMCxevBjz5s3rdJ/AwEAUFxdbfZn2vrOktrYW4eHh0Ol03I4dKi0tRa9evWx+v/vbU6gpbehUmSJ7XThHlxe2jtGT43g9pfPhSHcA2PNdHqpL6jtpHxUXjNHT3LdKQi35kAsx2hPyo6TuarEFaoTKu3uwZid/WnUY8UnRGGWxPNeIp5dPNbYNzMBQdrasU5n3dK3dgavvUy22xhvbA7VorwRKvE/Tst4txE/YFhgVFwwGoLqkHuNvSUFweIDdetCVdTdFrL/qVqceAK644go8+uijuOaaa3D69GmMGjUKhw8fRnx8vHDNpEmT8Oijj2LGjBloa2tDZWUlevbsCQBYt24dFixYgIKCArvfiUGn0yEiIgJFRUXcnPrs7Gykp6fb/N4bjaM7cKQ7oB7t1ZIPuRCjPSE/pDsfSHf3YM0eZmdnI21gmkfaSTGotW2gMu8crr5P0p0fpL007JV1wPoqB1s23ht0N64sr6mpEU57s4bbo9+/9957uPvuu/HPf/4TWq0Wy5cvN3PoLWlubsbUqVPR3NwMrVaL7t2749tvv3X4nRjq6jqOieO9BJ8gCIIgCIIgCIIgrFFXV2fXqXf7TL2aMBgMKCkpQWhoqBCN350YR154rhTwRkh3fpD2fCDd+UC684O05wPpzgfSnR+kPR+8SXfGGOrq6hAXFwet1naMe7fP1KsJrVaL3r17884GwsLCunyBVCOkOz9Iez6Q7nwg3flB2vOBdOcD6c4P0p4P3qK7vRl6I2490o4gCIIgCIIgCIIgCPkgp54gCIIgCIIgCIIgPBRy6jkSEBCARYsWCUf5Ee6BdOcHac8H0p0PpDs/SHs+kO58IN35QdrzgXTvjFcHyiMIgiAIgiAIgiAIT0bRmfrly5dDp9MBAObPn4+RI0di27ZtSiZJEARBEARBEARBEF6Dok79O++8g/DwcPz+++/IysrCCy+8gL/97W9KJkkQBEEQBEEQBEEQXoOiTr2vb8eJeVu2bMEdd9yBK6+8Em1tbUomSRAEQRAEQRAEQRBeg6JOvVarxdq1a7F27VpcfvnlAICWlhYlkyQIgiAIgiAIgiAIr0FRp/7tt9/GmjVr8Ne//hV9+vTBiRMnMHnyZCWTdIqmpibMmDEDKSkpyMzMxJQpU5CbmwsAKC8vx1VXXYUBAwYgIyPDLCbAkiVLkJqaCq1Wi6+//trsnnv37sWYMWMwbNgwpKWl4aWXXrKZfkNDA2bNmoXk5GSkpKTgyy+/FL576qmnMHjwYAwdOhRDhw7FZ599ZvM+9q61lwYv1Ky7kePHjyMoKAiPPvqozfts2LABI0aMQEBAQKfrzp49ixtuuAFDhgxBWloaXn/9dYe6KI2adb/zzjsRHx8vlOG///3vTt3n5MmTmDJlCjIzMzFo0CCsXbtWqkyK0FW0/9e//oWBAwciMzMTI0eOxE8//SR8R2W+M45szbJly5CWlobBgwcjMzMTTU1NVu/z4YcfYvDgwfD19e2k68mTJ3HppZdi6NChGDhwIB5//HEYDAYJKsmPmnW//vrrhbI+dOhQaLVafPvtt1bvYzAY8NBDD6F///5ITk7G22+/LXxXUVGBadOmCeV9zpw5aGxsdEYuWekq2r/55pvIyMjA4MGDMWTIEHzyySfCd42NjbjjjjuQkZGBjIwMTJ8+HRUVFc7IJRtq1l2KjbDXr5k/f77Z+wsMDMSbb74pUSn5Ubv2Yvsk9uwNAKxbtw6DBw8Wyn1+fr4EleSnq+huz9YAwNatWzFq1CgMGjQI6enp2LVrlxSZ3AMjWGNjI9uwYQMzGAyMMcbeeustNnHiRMYYY3PnzmWLFi1ijDG2d+9eFh8fz1paWhhjjO3Zs4edOnWKTZw4ka1fv97snpmZmeybb75hjDFWWVnJevTowY4dO2Y1/cWLF7M5c+YwxhjLy8tjPXr0YOfOnWOMMVZdXS1cd+bMGRYaGsoqKiqs3sfetfbS4IWadWeMsZaWFjZu3Dg2e/Zs9sgjj9h8jpycHHbo0CH21FNPdbpu9uzZ7KmnnmKMMabX61lmZibbu3evI2kURc26z5kzh7322muinsPefS655BL2/vvvM8YYKy8vZ4mJiezMmTOi7qskXUX7H374gTU0NDDGGDt06BALCwtjer2eMUZl3hr2dP/666/ZJZdcwmpqahhjHeW1ra3N6n0OHTrEsrOz2e23397pXV133XXsjTfeEJ43IyODbdiwQZxACqFm3U3Zt28fi46OZs3NzVbv89FHH7HJkyeztrY2VllZyRITE1lWVhZjjLFHHnmEPfbYY4wxxtra2tiVV17J3nnnHXECKUhX0X7z5s1C3SgsLGTR0dEsNzeXMcbYa6+9xm688UbhGe+55x7297//XYQ6yqFm3aXYCHv9GlNKS0tZYGAgKy0ttauLO1Cz9lL6JPbszYEDB1hqaiorLi5mjDFWW1vL6uvrJSolL11Fd3u2pri4mPXp04dlZ2czxhhramoy87nUgiIz9XPnzsVdd91l8z+1ERgYiGuuuQYajQYAMGbMGGHk6/PPP8f9998PABg1ahTi4uKwdetWAMDo0aORlJRk9Z4ajQY1NTUAgPr6evj7+yMqKsrqtWvXrhXS6NevHyZNmoT169cDACIiIoTr9Ho9GGM2R1btXWsvDV6oWXcAeO6553DTTTdhwIABdp/DODppjCFhyuHDh3HNNdcAAIKDgzFhwgR8/PHHdu+nNGrXXSz27mOqe48ePZCZmamK2fquov3VV1+Nbt26AQAGDx4MxpgwQ0ZlvjP2dP+///s/LFq0COHh4QA6yquPj4/V+2RmZiItLQ1abeemW6PRCKfNNDY2orW1Fb169bKri9KoWXdTVq5cidtuuw3+/v427/PXv/4VPj4+iIqKwsyZM7FmzRohP3V1dTAYDGhpaUFDQwN69+4tQh1l6SraX3bZZULdSEhIQGxsLIqKioT8NDQ0oLW1FW1tbdDr9dy1V7PuUmyEvX6NKR999BGuvPJKxMbG2r3OHahZeyl9Env25pVXXsGCBQsQFxcHAAgNDUVQUJBojZSgq+huz9YsW7YMs2fPRlpaGgAgICDAzOdSC4o49SNHjsSIESPg7++P3bt3IykpCf3798fevXsREBCgRJKy8sYbb+C6665DZWUlWltbzYxV3759UVhY6PAeq1atwsKFC5GYmIiUlBQsWbLEptErLCxEnz59bKbx5ptvIjU1FcOHD8eKFSsQExNjM11b1zpKQw2oSfc9e/Zg165deOihh1x6phEjRmD16tUwGAyoqKjATz/9xH2plCVq0t2YnyFDhuDaa6/FoUOHbKZp7z4jRowQlk7l5eVh586dqtMd8FztLdNPSkoS7ktlvjP2dM/OzsYff/yBsWPHYuTIkU4vY3399dfxxRdfIC4uDnFxcbjjjjswbNgwp+6lFGrS3UhjYyPWrFmDu+++22aa9u6zcOFC5ObmIjY2FjExMUhLS8P06dMdPoe78VTtTdm8eTOqq6sxatQoAMB9992H0NBQxMTEoGfPntDpdHjwwQdF3ctdqEl3JWzEhx9+KPr9uRs1aS+lT+KovSgsLMTEiRMxbNgwLFy4EO3t7Q6fw514qu6mWNqa7OxsNDY24vLLL8fQoUPx0EMPob6+3uF93I0iTv38+fMxf/58ZGdnY/fu3Xj66afx1FNPYefOnTh27JgSScrGkiVLkJubi6VLl7p0nxdffBFLly5FYWEhjh07hqeeegrZ2dlO3evhhx9GTk4Odu7ciSVLlqCyslKWa9WEmnRvaGjAAw88gPfff18YeXSWV155BXq9HsOGDcPs2bMxadIkhyPf7kRNugPACy+8gFOnTuHIkSO4++67cfXVV0Ov10u+z0cffYQ9e/Zg6NCheOyxx3DZZZepSnega2j/yy+/YPHixVi7dq1QV6jMS6OtrQ2nT5/Gtm3bsHHjRixfvhzff/+95PssW7YMs2bNQklJCQoKCvDpp59i06ZNku+jFGrT3ciXX36JlJQUDB482Knff/bZZ0hPT0dpaSlKSkpw4sQJfPDBB07nRwm6gvZHjx7F3LlzsXbtWgQHBwMAfv75ZxgMBpSVlaG0tBQRERF45plnnM6P3KhNd7ltxPbt21FXVyfMhKoJtWkvV5+kra0NBw8exMaNG7Fjxw7s3LkT7777ruT7KEVX0N2arWlra8O2bdvwxRdfYN++faiursaiRYucejYlUTRQXkVFBcLCwoS/w8LCuAcxscfLL7+Mr776Cj/++COCgoIQHR0NX19flJWVCdfk5+cjMTHR7n3OnTuH9evXY/bs2QCApKQkjBkzBr///juys7OF4CLz588HACQmJqKgoMBhGpmZmYiPj8dvv/1m9T62rpWSBg/UpvupU6dQWFiISy+9FH379sXrr7+ODz/8EHPmzEFNTY1wn+uvv97hs3Xv3h3//e9/cfjwYWzatAkajQaDBg1yRibZUZvuABAfHy8sLb7++usRFhaGnJwcyffp27cv1q1bh0OHDuGbb76BTqdTje6A52sPdASNmTt3Lr777jukpqYKn1OZl6Z7YmIiZs2aBR8fH3Tv3h3XXHMNdu/e7dDGW/LOO+9gzpw5AICYmBhcc801gv3njRp1N7Jy5UqzmUZrNt7efZYtW4Zbb70VPj4+CA0NxV/+8hf8+uuvzsikCJ6uPdAxS3bttdfiww8/xLhx44TPV6xYgeuvvx6BgYHw9/fHrbfeqhrt1ai7LRshtV9jZOXKlZgzZ47N7UK8UKP2tvokUu1NYmIibrzxRnTr1g3BwcG44YYbsHv3bhlUcx1P1x2wbWsSExMxdepUREZGws/PD7NmzVKN7mYouWF/5syZbM6cOWzbtm1s27ZtbO7cuWzmzJlKJuk0r7zyChs+fDirqqoy+3zOnDlmQR7i4uKEIA9GLIM8tLW1scjISPbLL78wxhirqKhgCQkJbOfOnVbTXrRoUacgD8YAd6aBIXJzc1lMTIwQqMESe9faS4MnatXd8jp7gWLsXXfu3Dkh3wcOHGA9e/ZkJSUlDu+lNGrVvaioSLhu165dLDo6WghcIuU+ZWVlrL29nTHG2MaNG1lCQoIQ2I03XUH7rVu3soSEBHbgwIFO31GZ74w93V944QUhuFdDQwMbOXIk+/zzz+0+i7WghoMHD2YrV65kjHUEKBwxYgRbvXq13fu4A7XqzhhjJ0+eZMHBwUyn09l9hlWrVnUKXHXkyBHGGGPTpk1jCxcuZIx1BFedNm0aW7JkiX1R3ERX0D47O5v16dOHbdy4sdN3Dz30EJszZw4zGAzMYDCwefPmsXvvvdfu/dyBWnV3xkbY6v/odDoWHBzMTpw4Yff37kat2kvpk9izN59++imbOXMma29vZ62trWz69OnspZdeEi+QQnQF3e3Zmt9//52NGzeONTU1McYYmz9/PnvggQfsKMIHRZ36uro69re//Y0NHz6cDR8+nP3jH/9gdXV1SibpFEVFRQwAS0pKYpmZmSwzM5ONHj2aMdZRIKZMmcKSk5NZeno627Jli/C7559/nsXHxzN/f38WHR3N4uPjWXl5OWOMsU2bNrHhw4ezIUOGsLS0NPbKK6/YTF+v17Obb76ZJSUlsQEDBrC1a9cK302dOpWlp6ezzMxMNmLECLudPXvX2kuDF2rW3RRHTv3mzZtZfHw8Cw0NZSEhISw+Pl6I2vnDDz+w5ORkNnDgQDZq1Ci2detWqTLJjpp1v+yyy1hGRgbLzMxkY8aMMUtfyn3ef/991r9/f5aSksImTZrEjh496rRectJVtE9OTmYxMTHCM2RmZgqdDirznbGne2NjI7vjjjtYWloaS09PFxxEa6xatYrFx8ezoKAgFh4ezuLj44WBlQMHDrBLLrmEDRkyhA0cOJD94x//EKIR80LNujPG2JNPPsnuuOMOh8/R1tbGHnjgAdavXz+WlJTEXn/9deG7vLw8dsUVV7CMjAyWlpbG7rrrLtbY2ChJJyXoKtpffvnlLCIiwszWGDvdlZWV7MYbb2Tp6eksPT2d3XDDDdwnK9SsuxQbYa9fwxhjy5cvZxMmTHBJK7lRs/ZS+iT27E17ezt7/PHH2cCBA9mgQYPY/fffb/PkCHfRVXS3Z2sYY+yll15iaWlpLCMjg82cOVOV0e81jDHGa5UAQRAEQRAEQRAEQRDOo2j0oueee87q52oKZEIQBEEQBEEQBEEQnoqiTn1dXZ3w76amJvzwww+4+OKLlUySIAiCIAiCIAiCILwGty6/r6ysxJ133onvvvvOXUkSBEEQBEEQBEEQRJdF0SPtLImOjkZeXp47kyQIgiAIgiAIgiCILouiy+/ffPNN4d/t7e3Yu3cvYmNjlUySIAiCIAiCIAiCILwGRZ36gwcPXkjI1xdDhw7Fvffeq2SSBEEQBEEQBEEQBOE10JF2BEEQBEEQBEEQBOGhKDpTDwAlJSXIyspCU1OT8Nn06dOVTpYgCIIgCIIgCIIgujyKztR/+OGHeO6551BVVYUBAwbg8OHDGDNmDHbs2KFUkgRBEARBEARBEAThNSga/f61117DwYMH0b9/f+zfvx9btmxBSkqKkkkSBEEQBEEQBEEQhNegqFPv7++PyMhItLW1AQAmTJiAQ4cOKZkkQRAEQRAEQRAEQXgNiu6pDwgIAGMMKSkpeP3119GnTx/o9XolkyQIgiAIgiAIgiAIr0HRPfVbtmzBiBEjcO7cOdx///2oqanB0qVLcfnllyuVJEEQBEEQBEEQBEF4DYrN1Le3tyMrKwuTJ09GeHg4Nm3apFRSBEEQBEEQBEEQBOGVKLan3sfHBx999JFStycIgiAIgiAIgiAIr0fRQHlTpkzBp59+qmQSBEEQBEEQBEEQBOG1KLqnPjIyEjqdDv7+/ggKCgJjDBqNBlVVVUolSRAEQRAEQRAEQRBegyJ76qurqxEZGUnH1xEEQRAEQRAEQRCEgigyUz98+HAcOHAAN998Mz7//HO5b08QBEEQBEEQBEEQBBSaqW9sbMSePXtw9OhRHD16FJbjBkOGDFEiWYIgCIIgCIIgCILwKhSZqV++fDneeOMN5OXloVevXuYJajTIy8uTO0mCIAiCIAiCIAiC8DoUDZR300034YsvvlDq9gRBEARBEARBEATh1Sjq1Dvisssuwy+//MIreYIgCIIgCIIgCILwaBQ9p94RdLQdQRAEQRAEQRAEQTgPV6deo9HwTJ4gCIIgCIIgCIIgPBquTj1BEARBEARBEARBEM5DTj1BEARBEARBEARBeChcnfqEhASeyRMEQRAEQRAEQRCER6N49Pvjx4/j5MmTaGtrEz674YYblEySIAiCIAiCIAiCILwCRZ36xx9/HJ9++inS09Ph4+PTkaBGg59//lmpJCVhMBhQUlKC0NBQCtpHEARBEARBEARBqAbGGOrq6hAXFwet1vYie0Wd+uTkZBw5cgRBQUFKJeESZ86coS0ABEEQBEEQBEEQhGopKipC7969bX7vq2TiCQkJCAwMVDIJlwgNDQXQIVJYWBiXPOh0OoSHh3NJ25sh3fnRFbXPzzqMX1a+g94DB2PszbciJDIK5QWnsX31fzF+9p0ICgvH3q+/wLkzBRh9/UycPfkn+g0fjZyd2wAAw66ahpDIKOF++uoqHPttEwZNmoKQyCizvwHg4MbvAAA9+iXj97UfoXtCPzTqqhEZ1xt+/gFmefMLDMSwq6ahoqQYB779EuNn34mYPv3cpAzRFcu7p0Da84F05wPpzg/Sng/eonttbS0SEhIEv9UWijr1L730Em666SZceeWVZs79HXfcoWSyojEuuQ8LC+Pm1FdUVHBL25sh3fnRFbWvLy2GQa9H4R+7MOHGmQgLC8OZmipU5Z1ES00VQoODcWrnVuHaIz98g/ikZPy55ScAwMgpV5tp0niuHEd++AZDxl+KsLAws78BCL/zn6KFQa9H+fGjAIC6kjNW8zdyytWoLjkj5CdscKZiWhDmdMXy7imQ9nwg3flAuvODtOeDt+nuaKu4ok79e++9hyNHjoAxZranXi1OvRpobGzknQWvhHTnB2nPh5aWFt5Z8EqovPODtOcD6c4H0p0fpD0fSHdzFHXqf/vtN+Tk5MDXV9FkPJo+ffrwzoJXQrrzg7SXEQkRUaKjo5XLB2ETKu/8IO35QLrzgXTnB2nPB9LdHEXPqU9KSoLCJ+Z5PGVlZbyz4JWQ7vzoatoXZWdh5+efCn//uOw1FGVnYfMHywAAm95/Bxveeln4ftcXnwqfG9n8wTto0NUAABp0NdiyajkAYMuq5ThXVCD8ven9d/DTe28Ivzuy+UdRefzxnVex/eMPzqe1DOeKCqQ+JuEkXa28exKkPR9Idz6Q7vwg7flAupuj6BR6UlISJk2ahOuuu85sT/3DDz+sZLIeRXNzM+8seCWkOz+6kvZfvbgYpw/uM/ussqgAny9+AgAQGBKKJn0dqk32uhsHOtuamwAAWh8flOXl4oOH/4rBk69E9vYt0ABIuXg88g/+gY/+/iD8AwPRK2UgSk/86VQ+K88UXshPvR4f/f1BDL/6Olw65x6n7keIpyuVd0+DtOcD6c4H0p0fpD0fSHdzFHXqW1pakJKSguPHjwuf0Xnw5iQlJfHOgldCuvOjK2l/rigfGq0W8anpmPbYE6gsPiM49JlTrkG3sHAc/PFbNDc2ICg8ArFJyagoPI26c+cQEBSMuIFpiI5LQGVJEXRnz6L8dC4S0jNw+d0PICg8Ar99vBI5v2/FwLET4RsQiMbaWrQ0NaK1qQltLR2NGTMY4BcYiNampgsZ02jg6+ePoPAI1NdUwdDejpCoaGRMuhwpY8Zh3QsLUX46l4dkXkdXKu+eBmnPB9KdD6Q7P0h7PpDu5ih6Tr3aqa2tRXh4OHQ6HbfoiX/++ScGDhzIJW1vhnTnR1fSvr2lBVpfX2i0F3YyGdrawAwGaM/HEjH+u72lBT7+/mAGA5jBAADQ+vqCGQzQaLXC51qTGCSm3xnRaLVoa2oS7mX6uTE/pvcxtLVB6+sr6G7Mq/FzQlm6Unn3NEh7PpDufCDd+UHa88FbdBfrryrao/vf//5n9XOKfn+BtrY23lnwSkh3fnQl7X38/Tt9ZukoG51o47UardZsEMD4b8vPLb8zxff8diZbn1vLY/v5AQJb+SSUoSuVd0+DtOcD6c4H0p0fpD0fSHdzFJ2pv+mmm4R/NzU1YceOHRgzZgx+/FFccCelUcNMfVNTk1m8AcI9kO78IO35QLrzgXTnB2nPB9KdD6Q7P0h7PniL7mL9VUWj33/xxRfCf9999x0OHDiAyMhIyfdZtWoVNBoNvv76607f5efnw8fHB0OHDhX+O3XqlAy5dw95eXm8s+CVkO78IO35QLrzgXTnB2nPB9KdD6Q7P0h7PpDu5rh1/WW/fv1w7NgxSb/Jz8/H+++/jzFjxti8JjQ0FIcOHXIxd3wwmOyJJdwH6c4P0p4PpDsfSHd+kPZ8IN35QLrzg7TnA+lujqJO/bfffiv8u729HXv27EFAQIDo3xsMBtxzzz1466238Pjjj7ucn+bmZrPjD2pra12+p6ukpqbyzoJXQrrzg7TnA+nOB9KdH6Q9H0h3PpDu/CDt+UC6m6Po8vvXXntN+G/ZsmXQ6XRYu3at6N+/+uqrGDt2LEaMGGH3uvr6eowaNQrDhw/Hc889h/b2dqvXLV26FOHh4cJ/CQkJkp5HCXJycnhnwSsh3flB2vOBdOcD6c4P0p4PpDsfSHd+kPZ8IN3NUXSm/tdff3X6t1lZWVi3bh22bdtm97pevXqhuLgYMTExqKqqwsyZM/HKK6/gH//4R6drn3zySSxYsED4u7a2VhWOPUEQBEEQBEEQBEE4g6Iz9d99952wxP3ll1/GX/7yF2RlZYn67fbt25Gfn48BAwagb9++2L17N+699168++67ZtcFBAQgJiYGABAVFYW77roL27dvt3rPgIAAhIWFmf3HG1o6wgfSnR+kPR9Idz6Q7vwg7flAuvOBdOcHac8H0t0cRZ36p556CmFhYTh8+DA++eQTTJkyBfPmzRP123nz5qG0tBT5+fnIz8/HmDFjsGLFik6/Ly8vR2trK4COPfNfffUVhg0bJvuzKAUtHeED6c4P0p4PpDsfSHd+kPZ8IN35QLrzg7TnA+lujqJOva9vx+r+n3/+Gffeey/uu+8+1NfXu3zfZ555Bu+99x4AYMeOHRg2bBgyMzMxfPhwxMbG4qmnnnI5DYIgCIIgCIIgCIJQOxrGGFPq5pmZmVixYgUeeeQRrFq1CmlpaRg8eDCOHj2qVJKSqK2tRXh4OHQ6Hbel+K2trfDz8+OStjdDuvNDrdrrq6vwx3dfAQBGTrsBIZFR0FdX4cjmHzHk8qsREhklXHdk84/oP+pinNq3y+w7NWNL97P5efjl/XcQHB2F2vJyRPVOQHBYhKAB4RpqLe/eAGnPB9KdD6Q7P0h7PniL7mL9VUVn6v/973/jvvvuw7hx45CWloacnBykpKQomaTHQUtH+EC680Ot2tdXV2H/hq+xf8PXqK+uEj7b9eUa4W/TzyqLCjp9p2Zs6V5ZVIDS3Bzk7tmF8tOn8Of238w0IFxDreXdGyDt+UC684F05wdpzwfS3RxFnfpp06bh0KFDePnllwF0BDRYt26d8P0bb7yhZPIegVar6CsgbEC684O05wPpzgfSnR+kPR9Idz6Q7vwg7flAupvDVY2PPvqIZ/KqICkpiXcWvBLSnR+kPR9Idz6Q7vwg7flAuvOBdOcHac8H0t0crk69gtv5PYbc3FzeWfBKSHd+qFH7Bl0NNr3/jvD35g/ewbmiAmxZtRwAsGXVcjToatCgqxE+2/zBMrPv1I413c8VFZg9tymbP3jHI55L7aixvHsLpD0fSHc+kO78IO35QLqb48szcY1GwzN5VWA8IYBwL6Q7P9Smfc6uHfjpvTfQ2twEn/N5Kzt1Eh/9bT78u3VDysXjUZR1GB88/FcAgAaA1tcXrc1N0Pr64lxRPlY9/gAuv/sBpF48juOT2MdS918/+gAHfvja5vVlp07ig4f/iivvf0TVz6V21FbevQnSng+kOx9Id36Q9nwg3c0hNTiTmJjIOwteCenOD7Vpf66oAKHR0Yjo2QtX3v8IAGDNM39HfU0Nhlx2FSbefjcadDVYu/gJABr0GzYStRVncclNt2LnF58ivEdP6CrOovJMAQD1Or+Wup89nQu/wEBotT4wtLcjIDgYDbU6+Pr5wWBg8PX1RVBEpOqfS+2orbx7E6Q9H0h3PpDu/CDt+UC6m6PokXaOGDZsGA4ePMgreVUcaZeVlYWMjAwuaXszpDs/1KY9MxgAABqTgCvGz0w/t/aZ8XONViv8X61Y6m5oa+uUb41Wa/NzwjnUVt69CdKeD6Q7H0h3fpD2fPAW3cX6q1xn6v/73//yTF4VBAQE8M6CV0K680Nt2ltzWMV+Zvq52h1fS92155etWebb1ueEc6itvHsTpD0fSHc+kO78IO35QLqbo6hT369fv0775iMiInDxxRfj+eefR2ZmppLJewSxsbG8s+CVkO78IO35QLrzgXTnB2nPB9KdD6Q7P0h7PpDu5ig6FXPbbbdh0qRJ+Pjjj/Hxxx9j8uTJmDx5MgIDA3H//fcrmbTHUFBQwDsLXgnpzg/Sng+kOx9Id36Q9nwg3flAuvODtOcD6W6OojP1P//8M/bs2SP8fckll+Ciiy7C3r17kZ6ermTSHkO3bt14Z8ErId35QdrzgXTnA+nOD9KeD6Q7H0h3fpD2fCDdzVF0pr6qqgoNDQ3C3w0NDaipqQEABAYGKpm0x9C9e3feWfBKSHd+kPZ8IN35QLrzg7TnA+nOB9KdH6Q9H0h3cxR16mfPno0xY8bg+eefx/PPP4+xY8di1qxZ0Ov16Nu3r5JJewxFRUW8s+CVkO78IO35QLrzgXTnB2nPB9KdD6Q7P0h7PpDu5ii6/H7x4sUYPXo0tmzZAgB44YUXMHXqVADAV199pWTSHkNISAjvLHglpDs/SHs+kO58IN35QdrzgXTnA+nOD9KeD6S7OYofaTd16lTBkSc6Y++8QUI5SHd+kPZ8IN35QLrzg7TnA+nOB9KdH6Q9H0h3cxRdfp+fn4958+bhiiuuECLfT548WckkPY6SkhLeWfBKSHd+kPZ8IN35QLrzg7TnA+nOB9KdH6Q9H0h3cxSdqb/55ptx2WWX4cEHH4SPj4+SSXksNMrEB9JdOvrqKhzZ/COGXH41QiKjnL6PO7XXV1dh2ycfoij7KK6Y9yj6DRlm9p0cz+MpSNH99JGD+Ond19BrwEAEhYShtbkJlcVF6Nl/AC75y2yrehm1zj9yEEERkbh6/gL07JsEfXUV/viuY7vVyGk3AEAn3Y3pJQzKxMRb51q9xvi+eqWmY9faT9C9bz9kTrkGp/btQv9RFwv/P75ti5BWSGQU9/dMtoYfpD0fSHc+kO78IO35QLqbo6hT39TUhKVLlzr9+yuuuAJlZWXQarUIDQ3Fm2++iWHDhnW6buXKlXjxxRdhMBgwefJkLFu2DH5+fq5k3W0EBQXxzoJXQrpLp766Cru+XIP+Iy5yyTlyp/b11VU4vuM3AEDZyRwzp16u5/EUpOhedjIH9VVVyN2z0+zz8tOnkHnZVVb1MtW6sVaHyqIC9OybhPrqKuzf8DUAIG3cJADopLsxvT+3/4qR11xn9Rrj+7rk5ttQmpuD0twc9B44CLu+XIOI2Djh/6ZphURGcX/PZGv4QdrzgXTnA+nOD9KeD6S7OYouv8/IyEBhYaHTv//8889x5MgRHDp0CAsWLMCdd97Z6ZrTp09j4cKF2L59O3Jzc3H27FmsWLHChVy7l7KyMt5Z8EpId36Q9nwg3flAuvODtOcD6c4H0p0fpD0fSHdzFJ2pr6ioQGZmJi6++GKzc+nFRr6PiIgQ/q3T6aDRaDpd8+WXX2L69OmIjY0FANx///1YsmQJ5s+f3+na5uZmNDc3C3/X1taKfRTFiIyM5J0Fr4R05wdpzwfSnQ+kOz9Iez6Q7nwg3flB2vOBdDdH0Zn62267Da+//jpmzpyJ6667TvhPCnfccQcSEhKwcOFCfPzxx52+LywsRJ8+fYS/+/bta3N1wNKlSxEeHi78l5CQIO2BFMBTtgl0NUh3aTToarBl1XIAwJZVy9Ggq3H6Xu7SvkFXgx/feVX4e9cXn6IoO0v4Tq7n8RTE6l6UnYWdn39q8/uflr/ZSS9LrQFg04q3UZSdhU3vv3Pht++9gc0fdPxt1N0yvQ1vvdzpGtP3ZXrtpvffBgBs/mDZ+b8vpLX5g3dwrqiA+3smW8MP0p4PpDsfSHd+kPZ8IN3N0TDGGO9MiOGjjz7C2rVr8cMPP5h9/tBDDyEuLg5PPvkkACA7OxtXXXWVVcfe2kx9QkICdDodt2ALWVlZyMjI4JK2N0O6iydn1w5sXrkMGgAJGZkoyjoMBuDyux9A6sXjJN/PHdrn7NqBH956GYb2tk7fxfTtj9rKCtmex1MQo/tXLy7G6YP7HN7Lx88fV89fgNSLx9nVWrje1xfMYIDBYAAA9BowEDVlJWhuaLD5O+M1ba2tAADW3o621haHeQMArY8PDO3tAAD/bt3Qd+hIbu+ZbA0/SHs+kO58IN35QdrzwVt0r62tRXh4uEN/VZHl96+88goef/xxLFiwwOr3r776qtXP7TFnzhzcf//9qKysRHR0tPB5YmIiTp06Jfydn5+PxMREq/cICAhAQECA5LSVxPRZCPdBuovnXFEBEtIzcPndDyAoPAINuhpsXrkMlWcKAEh3jtyh/bmiAmh8tPDR+uHGfz2P6Pje+Pa1JSjJ+RM1Z0vRZ8hQ2Z7HUxCj+7mifGi0WoRERcPH1w/1NdVobWoEAIT16AkAaKjVwc/fX9DLqDXagW6hYZi24F/4/fP/ofh4NgAgMCQUc199F3u/XYfjO36Df2A39M0chqF/fxorHrwLaAd6p2Vg2mNPYOsnq5C9fQt8fH2Fa9YufgKABgFBwThXlI+e/ZKhr64EMzDU11TBYDCgR2JfVJWcQVBYBKJ690Z0XAJy/9iN+poaDLnsKky8/W5u75lsDT9Iez6Q7nwg3flB2vOBdDdHkZn65cuX47777sPixYutfr9o0SKH96ipqUFDQwPi4uIAAF9//TUefPBBFBUVme2tz8vLw7hx43DgwAH07NkT1113Ha644go8+OCDDtMQO/KhJKWlpejVqxeXtL0Z0l08zGCARtt5p46tzx3hDu2ZwQBDWxt8/P07fd7e0gJfkxgfpt858zyeghjd21taoPW9MNZr1MTQ1mb1c41WK2it0WrNrjG0tQm/056fqTdeDwAarRbtLS1mvzNeY8yH6fWWaZrmxXg/4/9Nvzf9zvQ+7oJsDT9Iez6Q7nwg3flB2vPBW3TnOlN/3333AQCefvppp8+n1+l0uOmmm9DY2AitVosePXrg+++/h0ajwT333IPp06dj+vTpSEpKwuLFizF27FgAwKRJk4T0PYHKykqvKJBqg3QXjy0HyFnHyB3aa7TaTg698XNrDr3xu66MGN0tNTNqYutz47+taW105i1/Y/pbMelZ+52tf9v7TMx3SkC2hh+kPR9Idz6Q7vwg7flAupuj6J76Xr164fbbb8fcuXORlpamVDJOo4aZ+vLycsTExHBJ25sh3flB2vOBdOcD6c4P0p4PpDsfSHd+kPZ88Bbdxfqrik5Z7Nq1C0FBQZg6dSouuugiLF++XBXHyKmJ1vNBoAj3Qrrzg7TnA+nOB9KdH6Q9H0h3PpDu/CDt+UC6m6OoU9+3b188++yzyMvLw3/+8x/8+uuvtEzCgurqat5Z8EpId36Q9nwg3flAuvODtOcD6c4H0p0fpD0fSHdz3LK5cP/+/fjiiy+wZcsWXHrppe5I0mOIjY3lnQWvhHTnB2nPB9KdD6Q7P0h7PpDufCDd+UHa84F0N0eRQHlGXnnlFfz3v/9Fe3s77rzzThw+fJhm6i1oaGjgnQWvhHTnB2nPB9KdD6Q7P0h7PpDufCDd+UHa84F0N0dRpz4nJwcrVqzAxRdfrGQyHg3FGOAD6c4P0p4PpDsfSHd+kPZ8IN35QLrzg7TnA+lujqJO/YoVK9DQ0ICdO3cCAIYOHYqgoCAlk/Q44uLieGfBKyHd+UHa84F05wPpzg/Sng+kOx9Id36Q9nwg3c1RPPp9//798cADD2D+/PlITk7Grl27lEzS46BRJj6Q7vwg7flAuvOBdOcHac8H0p0PpDs/SHs+kO7mKDpT/9hjj+HLL7/E2LFjAQA7d+7EY489ht27dyuZrEeh1+t5Z8ErId35QdrzgXTnA+nOD9KeD6Q7H0h3fpD2fCDdzVHUqW9sbBQcegC45JJL0NTUpGSSHkdCQgLvLHgl3qK7vroKRzb/iCGXX42QyCicPnIQP737GhIGZWLirXMREhmFs/l5+O2/KzDpznvRs2+SU/fvP+pinNq3C/1HXYzj27YAAEZOuwEhkVGd8hAdGoLf/vcBACBtwmSc2rcLvVLTsfWjD1BfU4XgqGhcPX8BevZN6vRbW8/Ta8BABIWECfnyCwwU0ic68JYybw3LcmPtcwBWr3EVb9adN6Q9H0h3PpDu/CDt+UC6m6Po8vuQkBBs3rxZ+PuXX35BcHCwkkl6HOfOneOdBa/EW3Svr67Cri/XoL66CgBQdjIH9VVV+HP7r8Jnlf/P3pmHR1Flbfzt7ux7CEsWEiAEQkIgYVNkUFFEBRXEdcQFHB113JdvnFGHcZwZwXF03HHQwX1DEUVBccRR3EBB9i2QBEKA7JCls/V2vz9ild2V6u7q6tq6+/yeh0dTXXXvue8999St7jr31lTjyN5daK6pll1+c001/9+f1nyIn9Z8yJcvtOFY9SH+HO66ugPlaD5SjW5rO5oPH+JtEV7rrT0VP3yPHV+s5f+510/0Eik+L4bQb8SOezsnWCJZd70h7fWBdNcH0l0/SHt9IN09UfWX+qeeegoXX3wxLBYLAMDlcmHlypVqVhlydHV16W1CREK660dPT4/eJkQk5PP6QLrrB2mvD6S7PpDu+kHa6wPp7omqD/UTJ05ERUUFysvLAQCFhYWIjo5Ws8qQY8iQIXqbEJGQ7vqRmZmptwkRCfm8PpDu+kHa6wPprg+ku36Q9vpAunui6uv3QO+3KC6XCzabDTt37sSWLVvUrjKkqKur09uEiCQSdO9sbcH/Xl4KAPjfy0txYNNGfP/um/znny55AjV7dmHdf5YAANb9ZwmaAngF3718rozPX3yO/3zdf55DU021hw29f//b4xwA+P7dNzzK/vyFZ1GzZ5fItd7bI2Tdf55DZ2uL5PaEO5Hg82IIxwHnE+7HP3/xOd4X3c9RgkjV3QiQ9vpAuusD6a4fpL0+kO6emBhjTK3Cn3jiCfz5z3/GwIEDYTb3fn9gMpmwf/9+taoMiLa2NqSmpqK1tRUpKSn+L1CBXbt2oaSkRJe6I5lw1718w7dYt2wJTAByS0pR8eMGuJwOr+cnZfSH9XgzAGD8zDk4Y/71ksp32e1wOOxwOTzLNlsscDmdAICY+HgMLZuIQ1s3w9bd+6qU2WyGy+Xy246omBjkTzi599qebsTExWFo2US/7eGIjovHOTfdgcJTpvo9N9wJd58XQzgOanZtBwNQfOqZ2PPN/2ACkJaVjdoDvW+TZRUUoqXuGBiAs667WRG/iUTdjQJprw+kuz6Q7vpB2utDpOgu9XlV1dfvn3nmGZSXlyM7O1vNakKa/PzAVhsnlCHcdW+qqUZucQnOuu5mJKSmYenv5sN6vBnJ/QfgqkVPoPnoEbz70B8BAKUzZuGs629GU0013n94IRoOVkguP2XAILQ11iMhJRV7vvkSCSlp6Dd4MDKyc1GxeSM6Wlowdvq5OP3q6/DV68uwY92nSEhNQ8GkU3Di2BEc2bcHts4OAIA5KgoFk07B4R1b0d3Ru03JgCH5uODOP+Cr15eh/Lv1GPWr03H61dfx7YmJT0BCahoctp7eLyVMJqT0Hwjzz+t4mC0WNB+pBkAP9eHu82IIx0FnawvWLVuChoMV/PGtn61BfFIyGBgy80eg7Pd/wrplSxTzm0jU3SiQ9vpAuusD6a4fpL0+kO6eqPpL/amnnopvvvlGreKDxgi/1O/btw+jRo3Spe5IJtx1Zy4XTOZfsmucNhvMUb3f4XHHXQ4HmMsFc1SUx7kuh4M/11/57v/lEP4tPMZpbzKb4XI44HI4YDKbYYmJ4ctz2mz8deaoqD71ce0RttOb7e7nRCrh7vNiCP2Dw91P3M/x9v/BEIm6GwXSXh9Id30g3fWDtNeHSNHdEL/U33///bj99ttx/vnnIy4ujj9+2mmnqVltSOFw+H+FmFCecNdd+DBiiYnpc463B3d/D/Tu5Qv/661+92NOt4clc1SUR33ccaG9wnq4z6W0k+gl3H1eDG8P5WI+5+v/gyESdTcKpL0+kO76QLrrB2mvD6S7J6r+Uv/nP/8ZTz/9NPLz8/lt7UwmE3788Ue1qgwII/xS393d7fGFB6ENpLt+kPb6QLrrA+muH6S9PpDu+kC66wdprw+RorvU51VV30l97bXXcOjQIWzZsgWbNm3Cpk2bJD/Q33777Rg6dChMJhO2bdsmes5XX32F+Ph4lJWV8f9Cbc/CqqoqvU2ISEh3/SDt9YF01wfSXT9Ie30g3fWBdNcP0l4fSHdPVH39fsiQIUhLS5N17SWXXIJ7770XU6f6XqiosLDQ60N/KCBlBXBCeUh3/SDt9YF01wfSXT9Ie30g3fWBdNcP0l4fSHdPVH2onzRpEi677DJccsklHq9HzJ492++1auTd9/T0oKenh/+7ra1N8ToCpbCwUG8TIhLSXT9Ie30g3fWBdNcP0l4fSHd9IN31g7TXB9LdE1Vfv//pp5/Q2NiI559/Hk888QSeeOIJPPnkk4rWUVlZifHjx2PSpElYsmSJz3MXL16M1NRU/l9ubq6itsihvLxcbxMiEtJdP0h7fSDd9YF01w/SXh9Id30g3fWDtNcH0t0TVX+p//LLL9UsHuPHj8eRI0eQmpqKI0eOYNasWejfvz8uu+wy0fPvu+8+3H333fzfbW1thniwJwiCIAiCIAiCIAg5qLr6vRIMHToUH374IcrKyvyeu3jxYhw7dgzPPPOMpLKNsPq93W5HdHS0LnVHMqS7fpD2+kC66wPprh+kvT6Q7vpAuusHaa8PkaK7IVa/F2P8+PGKlVVbW8svktDe3o7Vq1dj3LhxipWvBfTqiD6Q7vpB2usD6a4PpLt+kPb6QLrrA+muH6S9PpDunqj2UO90OvGHP/yhz/E1a9ZIuv7GG2/E4MGDceTIEZxzzjkoKCgAAFx//fX46KOPAADvv/8+xowZg9LSUkyePBkzZszAtddeq1wjCIIgCIIgCIIgCMLAqPr6/UknnSR5X3o9oNfv5WE9cRybP14JACg67UxsfP9tVO/YhrNuuA3FvzqNP2fHuk8x9qyZSErv57OMIWUT8OPK5TjpostRW76Hv6b+UBX++/xTgAk4+6Y7MGhoPuoPVeGrV17wOBcAdqz7FMMnnYLKTRv4YxveewuNhw9i+vW3YNDQfL5Oe3c3XC4XzObe77Si4+Iw8YKLeDuFttcfqsIXLz6H/kOHYcol8/iy66oOoN/gXCSmpGHiBReho7WFP690xiwPWzj79n79P163yk0bPI5xZXz1yguYtuAGDBqa30cz93a6tzcpvV8fu/31gV6Eos+HA6R74IiNKS5ucTHD3zgj3fWDtNcH0l0fAtXdPXYB6BPH3D8Xzm92/PcTNB4+iFMuuwrV234CgD7zKG4O5n5O0Wlnesx5hPVyc7wxM2Zh5+efIK9sAjZ/+B6m//ZWFP/qNK/zoLTsXHz9xn+QNWIUEpJ65/PRcXH8XItrozB++9LE3Z5pC25AYmqaR91ZhcX4ceVyTFtwA/rl5OL40RqP+Rt3v+hsbUFLfS3KZs7Btk9WITY5CfWVFUhIS8fMW+5GYmpan/mwcA4onPtmFRZjw/I3ROebwvmpuwa+5pihSKTEGqnPq6oulDdr1iw8/PDDuPbaa5GUlMQf1+sB2oiUl5ejpKREbzMCouPEcfy05kMAwMBhw1Hx4wYAwNG9O/mH+o4Tx7FhxdsYPuFk0cDpXkZsYhKO7N2FvANlHtc011Sj4VAlAKC5phqDhuajuaa6z7kAsGHF20jLzPY4tuOLtR7XutcppGjqNN5Ooe3NNdWorShHbUU5Sqef61F2w8FK/vrmozX8eYNHjRa1z1034TGujCN7d/E2CzVzb6d7e5PS+/Wx218f6EUo+nw4QLoHjtiYch+vUsYZ6a4fpL0+kO76EKju7rELQJ845v65cH7DzYHqDpT3iYnctWLnDBw23ON8Yb3cHK/f4Fwc2bsLsJhh6+rk55fe5kFjZ8xEx/HjqPjhe482cnMtro1itnrTxN2e5ppqwOXyqHPKZVfxnzVaO2E+0egxfxPOOQcM3Ynail9eF+9qa+XLFc6HhXNA4dx3ymVXeZ1vCuen7hr4mmOGIhRrPFH1of6vf/0rAGDhwoUwmUxgjMFkMsHpdKpZbUjB/VpMEJEC+bw+kO76QLrrB2mvD6S7PpDu+kHa6wPp7omqarhcLv6f0+nk/0v8Qn5+6H9TxmPofRQIoxBWPh9CkO76QLrrB2mvD6S7PoSV7szLf/2drxOStKc5suKElc8rgOpb2v3000/Ys2cPrr76arS0tKCrqwtZWVlqVikZI+TU79q1K6ReHelsbcHKRx5CfdUBAIApKgrM4eA/n/1/f0LOyFFY9djDOLZ/L7JHFmHO/z2AhNQ072Xwb3GYwZgL2SOLMPWK+Xh/8YNw2noAAFGxsZh12+/x6bOPw97dxZ87KH8ETCagrvIAouPiYe/uwqD8EXDYetB85DCA3ryquX/4C9a/voyvU0jm8BGY+4cHAcDD9qlXzMfKR/4CR083ACAjdwjAGF82R8bgPLQ21sPR84u9jp4eD/uiYuP4cqLj4mDv7vY4ljE4D21NDbB3dyM6Lh7z/v4Y+ucO4TXj7OLayf03e2QRZtxwKz5/4VnebuHfwj7Qk1Dz+YoRNy8AAOToSURBVHCBdA8M9zHHjam1S57kY0jm8BE453d3+h1npLt+kPb6QLrrQyC6u8c393kKF8eAX+ZCA4YMw4m6Y/z8xhwdDZfd3qdM93nUiocXorH6YJ9zuLkRAAwYMgyWqCi+3qlXzMcH/3gI9u4uUZvP+d1d2PnFWtF5kDe4udag/BFwOR28TZytwrmpcP7H2RMVG4f0rGw0Hqri6+TmodFx8SiefSn2fPQeb9PcPzzoc87JYYmOQVpmVu9r+PhlPuw+B2yqqcZbf/o/jzoBE7hvCdznm+5zX6EGA4YMQ0t9regcM1SJlFgj9XlV1Yf6JUuWYOnSpbBaraisrERlZSWuv/56fPnll2pVGRBGeKjft28fRo0apUvdgVK+4Vt89u+nYO/phtlk4rcTFGIymxGXmITcklLU7NoOBuCs625G4SlTPcowARBzP5PZDOal7N4TTIDgOpPZAsZcvQHR7VouQErBEh0Ds8WCqOho5JaUomrzD3DYbV7r9M8vQRcmM8CktSkuKRndHVYAwPiZc5A9chTWLVsCl90Oh8MOl9uXKOaoKJjNZjjsdsTExWFo2UQc2roZtp5u/m9hH+hNKPl8OEG6S6d8w7dYt2wJTAByS0p7x9TPE0dLVG/WmvPncRgTH+9znJHu+kHa6wPprg9SdXePb2lZ2ag90JvnnVVQiJa6Y3D8/MAeFR2N2KQktNQe81umyWwGYwyWqGgwlwsup8P/+T/P1bJGjELjoapf5ls+LzTBbLF4zIMkGMfPv8wWC58GHB0bh3NuuoOfm7rHfPf5X1xSMrqt7T9Xzz1U/2KP+9wwKaM/rM1N0m0TNxgAA0wmDBySj4bqqt46fM5D3eabfj4XzjHPmH99kPbqR6TEGkMslPfCCy9g48aNmDJlCgBg+PDhaGxsVLPKkCMvL09vEyTTVFON5IwMpA3KQnr2YGz5ZBWYy4WE9AwU/+o0HCnfjboD+wGYsODxJUhITUNnawvWLVuC5iPVAKZ6lNHV3o62xnqYoyzotnZgxMlTcHjHVvR0df38zWgsrnz4XwCA1+69rbeutHTkFBZh3Lmz8cE//gJLVDTikpJgtkThgrv+iI+fWIzWhnoAQMm0GZhy6Ty8+ad70NZQD0t0DJIz+oO5nOhoOQHAhITUNJgtFgBAd4cVCSmpuPzBxUhITcNbf/o/1FXuR0r/gZj398fw/XtvYvvnnwIAYhMSkTl8BBwOG47u2wswhqiYWAwYMgwxcXFoOFQFe083kvv1BwNDd0cHBg3NR2tjPUwwwelywtrcjOSM/ug3eDAaDx1EV3sbEtP6YfTpZ2Lk5Kl4/+GFaDhYgZj4eOQWlyBlwCC0NdYjISUVlZt/wPCJk9HZ1gLr8eNob2rAqF+djtOvvg5fvb4M5d+t5/8W9oHehJLPhxOku3SaaqqRW1yCs667GQmpafjq9WXYse5TJKX1w6//+igA4O0//x4dLS0YO/1cn+OMdNcP0l4fSHd9kKq7e3zb+tkaxCclg4EhM38Eyn7/Jyx/6I8ATLj8wcX46IlH0HH8OKJiY5E2KAvHj9agp6sTFosF0bFxgNkEh82OAXlDEZechNoD+2Hv6UZicjoKJk1G9c7t6O5oR09nJ8xmC2Li4xGbkIj45BS0NtYjJi4eQ0vHAQAaDlUiLjEJJpMJXR1WOG02pAwYBJfDDofDge72NpjNFgyfcBI/D+rp7IS9p/eXZ27dLnt3F2AyITomFvEpqb1fyLpcMEdHo3jqNEyafTHW/vtJtNbXe8xN3WP+W3/6PzQcqkTJtBmIT0lF7f69OLp/L6JjYpEyYCCaaqpROOU02Lu7cKx8LzpaWzBw6HBc/ciTWPef57Dji88AAAkpqYhPSUPzkWr+SwyT2YzY+ATYerr5Lyei4+IRExeHtKwsdLW1I7d4DCo3b0RLfS2S0tIxfOLJ6GxrxYnaWjQdPoiY+AQkpKaCuRhsXb0aMMbgcjoRExePzOEjcLz2CKzHjyMmLg4OhwNmkxlZIwuRU1jsMccMZSjWeKLqL/Unn3wyfvjhB4wbNw5bt24FAJSVlWHbtm1qVRkQRvilPpReHXEPSMzlgtNmQ1RcnMdxl8MBl8OBqLi4Pte6fzPLnWuOivL8Zd1shqO7G+aoKJjMZph+XgSDC3zM5YIlJob/f65cd7tcDgcsMTEedXL/zD//yrZr9y6UjPbUnTvfvU5h2e51cmU5bb3f5nJtcT/O/T933L2t7vU5bTbeZq4+dxu4+sX+666j2OfC+vQmlHw+nCDdpSM2dji442LHxK4l3fWDtNcH0l0fpOruHqPE/l84T+PmINw8zBwVBafNxs+D3OdXLoeDn6cJy3E/LpwTcX9zcyFHdzei4uL4+Q133N7ZieiEBN5WR3d3n/meOSqKP86VzdktbC9nnzBuC+en7nNAYVlOmw179+9H8ahRHtdwc2ROQ04zTjfub65cbt7sXieng/t8T2gvV7a7XUJtuWPCa7l2hiqREmsM8Uv9gAEDsH//fphMJgDAK6+8Qt+qCIiNjdXbBMm4BzyT2cwHIPfj5qgo0QDhHnzczxUeA9DnCwH3c4VlCq81mc18IHevU3heXFy86LW+6hQrBwBfn7AMseNCDYXn+rJBWAb3X6GOYnWJ/a0XoeTz4QTpLh0pY8fbeBIeJ931g7TXB9JdH6Tq7m0e4mueJvx/4fxGOB/xVY77+cL/cuVy80DuOu54dEKCx/nCeajwuJT2Cv/fvV7hOWLXWGJiEBsb2+caYRuEc1t3Dd1xr0PYPm/zZl/zTV/3s1B+oAco1ghRtTeffPJJXHHFFdi3bx9yc3ORkpKC1atXq1llyJGZmam3CREJ6a4fpL0+kO76QLrrB2mvD6S7PpDu+kHa6wPp7omqP90VFBTghx9+wE8//YTPPvsMO3bswLBhw9SsMuSorq7W24SIhHTXD9JeH0h3fSDd9YO01wfSXR9Id/0g7fWBdPdE9fcurFYr7PbeRS62b98OABg/frza1YYM8fHxepsQkZDu+kHa6wPprg+ku36Q9vpAuusD6a4fpL0+kO6eqPpQ/8QTT+DPf/4zBgwYAMvPK4ybTCbs379fzWpDiv79++ttQkRCuusHaa8PpLs+kO76QdrrA+muD6S7fpD2+kC6e6Lq6/fPPPMMysvLUVVVhQMHDuDAgQP0QC+gpqZGbxMiEtJdP0h7fSDd9YF01w/SXh9Id30g3fWDtNcH0t0TVR/qc3JykJ2drWYVIU9SUpLeJkQkpLt+kPb6QLrrA+muH6S9PpDu+kC66wdprw+kuyeqvn5///334/bbb8f555+POLetHE477TQ1qw0pfO03SKgH6a4fpL0+kO76QLrrB2mvD6S7PpDu+kHa6wPp7omqD/UbNmzAa6+9hm+//dYjp/7HH39Us9qQ4tixY+jXr5/eZkQcpLt+kPb6QLrrA+muH6S9PpDu+kC66wdprw+kuyeqPtS/9tprOHToENLS0tSsJqShb5n0gXTXD9JeH0h3fSDd9YO01wfSXR9Id/0g7fWBdPdE1Yf6IUOG0AO9HxISEiSdV3+oCv99/inYbd2Ijo3D1HkLULHxOxzdvxcAkF1YhNIZs1C5aQPGnjUTSem931xZTxzHjnWfYuxZMwEAO9Z9iqzCYnz75iuACTj7pjswaGg+f15WYTF+XLkcY2bMwrZPVqH/0GGYcsk8JKX38yiLKz9Ukao7oTykvT6Q7trgHks3LH8DSYOy0O/q3/iNmdYTx7H545Wwd3cjOi4OEy+4CAD8xlyuvuGTTsHer/8HAJh4wUWi5wtjuPu1lZs28DYnZvRDx/HjmH79LRg0NL/PtQCw+eOVXuvi2tLZ2oLmozUYNHwEplwyj28Pd5+ZtuAGvnx3Du7Yis+XPo0ZN96OYWPHidrfWFPd5xzhffKky68B8vJEtdrx309QV3UAg4aPEL13upfnfq8UthEAhpRNwIblb3jcL8X0AICi085E5aYNHv1VdNqZon0n7K+DO7bi0+ceR0JKGmbecjdvT/2hKnz1ygu8ngd3bMVnzz+B3NGlOP3Ka72WJ7xOyj3eeuI4Nrz3Fq/dlEvmobGmmq9v4vlzsX/9F7AWFOLrN/6DrBGjkNp/IIpOOxM7/vsJavbuRLfViiGl43H6ldeio7UFX7z4HK+du29506X+UFWfaza89xYaDx/08Fmx/gukzb70SkxN83mdvzaI6Socx7Epqfh++etIHTgIF9x1H18nN16FYz4hIcGjbl/1EcoSDvdXod/u+O8nHmNKbKwIY67wmcJbLHG/RzRUH4QlKgoTLrgY2z5ZhdSsLCSmpPFjx97dDQD8fZGL/VPnXYuKn37Efyv2wXriBIaVTcD039zkUZ/wvioWf8NpnKj6UD9p0iRcdtlluOSSSzxy6mfPni3p+gMHDmD+/PloampCamoqXnnlFYwePbrPecuWLcMjjzwCl8uFM888E0uWLEF0dLRi7VCTuro6SVsyNNdUo+FQ5S/XHSjHji/Wenw+eNRobFjxNoZPOJl30I4Tx/ljALBhxduYctlVfFnNNdUYNDSfP2/KZVfhyN5d6Dc4F7UV5aitKEfp9HORlN7Po6xQHwBSdSeUh7TXB9JdG9xjaW1FOVBRjpPPv9BvzOw4cRw/rfmQ/7to6jQA8BtzufrSMrP564umThM9XxjD3a/1tLn3fO7+ILwWgM+6hG1pOFiJ0unn8u3h7jPu5btTd6Ac7U2NqDtQ7vFQ726D2DnC+2T1vj0oHDdBVCvu/tlwsFL03iksT2irextjE5P63C+96TFw2PA+/TVw2HBRPYX9VXegHF0tLehqafGwp7mm2kPPugPl6Dh+HPu++RITZ83xWp7wOin3+I4Txz20K51+rkd9w0rHY/snq8BmzETH8eOo+OF7vo3ucxbOtuajNR7aAfCrS3NNdZ9ruLKFugj7L5A2+9ILLpfP6/y1QUxXoV8MLhkLuFxorav1qJMbr8Ix39jZjQEJcZLqI5QlHO6vQr8VjimxsSKMuVJjifAeAQBH9+7kxzVng/CcoqnT+Nh/dO9OHPjuK/6zih+/x+S5l3nUJ6xHLP6G0zhR9aH+p59+AgA8//zz/DGTyST5of7GG2/EDTfcgAULFmDFihVYsGABNm3a5HHOwYMHsXDhQmzZsgWDBg3CnDlz8MILL+CWW25RriEqkp6errcJEQnprh+kvT6Q7kSkkZiYqLcJBKEZ6enpQE+X3mZEJHR/JYyAqg/1X375pexrGxoasHnzZvz3v/8FAFx88cW49dZbUVFRgYKCAv68FStWYPbs2cjMzAQA3HTTTVi0aJHoQ31PTw96enr4v9va2mTbpxSGfaOA6W2AuhhW9wiAtNcH0p2INCxmVXftJXwR5nMITQhQw+joaDB6qNcFur8qQKAxg2JMH0yMMVVlee+99/D5558DAM455xxcfPHFkq776aefMG/ePJSXl/PHTjrpJDzyyCM488wz+WO33XYbsrOzcd999wEA9uzZg3PPPReHDx/uU+Zf/vIXPPTQQ32Ot7a26rbYwq5du1BSUuLznKaaarxx/91w2np8nhcVGwtHTw+yRxZhzv89AABY9djDOLZ/Lwblj4DJBNRVHuhzzUV/fAjfvv0qju3fC5PJDMZcHucMGJqPWbfeg89feBbH9u/ly09ITQu8wQZBiu6EOpD2+kC6q09nawsfcwETuFnHgKH5uOT+v3qNmZ2tLVj5yEOor/olPg8YMgyWqCjUVR7wGnPd64uKjYOjpzf3MHP4CMz9w4Me57ufmz2yCDNuuJWP6dFx8bB3d3nYDPTmMM77++NISEn1uJe4nA40Vh8UrUusLQCQkTsE0TExqKs8wN9nouPiMe/vj6F/7hD+vJo9u/DeX+8HYy6YTGZc+udFyC0u8bA/Y3Aejh+tAWOMPyc+ObnPfdIcHY2rFz+J/rlDPK63xMR6nCe8dyakpvW570bFxuLKh//FlyXWRrG+Fp4bHRcHe3e3R39x9bvrCcCjvybOvhgfPfb3X2yOicWVi/4FAHjrT/8He3cXouPicea1N+Gz55/k+zEjdwguW/hwn/KmXjEfH/zjIf66uX94kJ8H+PK3FQ8v5PseAFIHZaG1vtbDLofIXMUSEwOnzeZxLHVQFjpajvNtz8gdArPZzJcvpktnWyvefOAeXruM3CEAY2g+cpjXd97fHweAPv0367bf49NnH5fUZuF4cdcrKjYO6VnZaDxUJXqde3+LtUHqOHbHHBWFjMF5aDxUxY9X4ZjPn3E+Kv+7mq/bW32E8oT6/VXot+7jNTouDnP/8Jc+Y6WzrbVPzBU+U4jFEl/x0x33scORnpWDlrpj8Pbomp49GL/+yyNISE0TrUcs/obCOGlra0Nqaqrf51VVH+r/+te/4sMPP8Q111wDk8mE119/HRdeeCH+9Kc/+b1WjYd6sV/qc3NzdX2or62tRVZWltfPv3z1P9jyyYeSyzOZzIiOiwXXq1HR0UjLykbtgXLAR1ebzGYwl8vr5wAQEx+PoWUTUbNrOxiAs667GYWnTJVsm5HwpzuhHqS9PpDu6lK+4VusW7YEju5uOOy2Pp9bomMw85a7+8TM8g3f4rN/P/XzQ3VfskaM6p3EwDPmcvW57HbYbT18/DZbLHC5XIiOjcM5N92BwlOm8ueaAOSWlOLQ1s2w9XQjKjoaLpcLLofDZ9ss0TGIiYvrvZfs38fXYzKZ4HQ6+boA+GyLByZT7z3JZML4mXNwxvzrsfKRh3Bwa2+KXVRMDBw/TyoHDh2OtuZGmACYLBZ0tpzotSEqyq/tADBs3CTUVpTDZbfD1tMtei/k7p3mqGhkFRTydoiVdWTvLth7unu/AhEpi+trXo+ebphNJrj83GO5vrNERcNssSAqOhq5JaWo+HEDXE4f7TSZkNQvA9bmJvGPzWZExcTy5VVt/oH30aSM/vx1UTExyJ9wsug9vnzDt/j0uX/BKeLbweP5ZZJwPsLpYjZbftGB8x/3Ukwmr5N9d/y1GYDHeHHXKy4pGd3WdgBAWlYOeqztHtd562+xcQl4H8delRL54cVsscDldPJ/W6J6X8J1H5uhOlcLFUL5/srfg8TilNs4cx8rtu5un7HAWyzxd79TApPZjHHnzsbO/33mtx5v49JoSH2oV/XdtBUrVuDbb7/FnXfeiTvuuAPr16/Hu+++K+na3Nxc1NbWwvHzDZsxhsOHDyPPbSVbAMjLy0N1dTX/96FDh/qcwxEbG4uUlBSPf0an/mBF7+TJbEFCSipGnnKqx+cx8QlI7t8fMJkBsxlxSUkYO/1cJGdkIDmjPxY8vgRDxoxD/riJiE1MAkwmxCenIG9MKUpnzEJUTAxgMiEqJhZJ6f3QP28YTGYzkvplICE1DQOHFSAqNhbmqCiMnX4uLrjzD1jw+BLkFpeg+Ui1F6sJgiAii6aaauQWl2DA0HxEx8VhcFEJho2fiIIppyMhNQ0xcXGiMbOpphrJGRlIy8xG/vhJmP/Yc0jLzEJ0bBzSMrMxtHScaMzl6htz1rlIz8rGkDFlGDZ+IsbPnI1h4yYgOaM/fz537oLHl+CCO/+AMWedi6S0dAwYko/hE07CoPwCmMxmmKOiYImOxshTTkVCahpiExJgtkQhJi6Ov5ekZWYjIS0d42fOxg1LXvGoi2tLbGISomN7NcgbU4qYhESYzGaYzGZEx8XjsgcfwYiTTkHpjFlISktHw8GKn+08BEt0NC578BHc8fpKXPbgI7BER6Olvpa33/KzjTlFxTj5wktx2YOP8Jpw98nZ//cnxCenACYTzFFRaKo5xGsVl5SEqJhYxKekYlB+AeJTUmGJieXvnbnFJWiqOQSzpbes+Y89h/mPPYf45BS+rOSMDOSPm4jMgkJEx8YhLjkZaZnZKJ0xy6OvOT3yx03EuFlzkD9+ElIGDoLZEoXUgZlIy8xCXGIS4lNSkZaZzfdddFwcf/++4M4/ICE1FUDvRHn+Y8/hsgcfgcliAdD7xcb8fz6LG5e8gsS03rzemPgE/O6FN3DZg4/A/PMDnnt5A4bmwxIdjdIZs3DjkldQOmMmLNHRGDAk3+s9vqmmGtFxsYiOjcOQMWWY/9hzMEdF/6y7GVkjRmFw0S+/VEbHxSMhLR39BnvOx5L6ZSCnqPiXAyYTJp5/IUpnzITJZIbZYkHm8JFIy8zuo4vJYobZEoUhY8rwu6Wvo3TGTL6Y0hmzcNPS15E3prT3QQTw6D/Tz6kYA4cV+G2zcLy461V2zvkYMqYMCalpSEpL73Ode3+LtcF9XHobx+7+nDJgENKycvhjcUlJKJ0xE9FxcUgdmMmP+bTMLJgsFqRnZuOGJa/0GZsE4Q2h38YmJsEcFYWUAYMw8bwLkTJwEExms8dYiY6LBUymvjEXAEwmr7HE/R5htlgQn5yCmPh4D3viU1JhMpl747fFgtSBmcgbU8qP4ej4BFhiYvjzzRYLcoqKYYriUiBMaDhY4XFfLZ0xEwlp6YhJSOTjr7f7ZSij6i/1Y8aMwc6dO/0e88a0adOwYMECfqG8Rx55BJs3b/Y4p6qqClOnTvVYKO/ss8/Grbfe6rf81tZWpKWloaamRrcH/D179qC4uNjr5+6/QpijosBcLrCff1nhJkmco3Pf8Jrc8gi5b7xNZjNcDgeYy8UPBu58rryouDi+XO5a7m+uDPeyuWOhiD/dCfUg7fWBdFcX9zjrHit3796F0aNL+hx3v45DGMvFjgv/Xxj3xY4LY7W7rdyv3dzflpgYj885uPuPWJlCe4X3C658p80GS0xMH1s5O7jPhTi6uxH18w467ue4X88d5x5iAWDXrh0oHlXM3/e4+ydnG1ev8LjTZuO/5HCHu4eao6L69LW7Nu73UaFe7nVxbRBqK/QVzh6h/9g7Oz3a7LTZ+LLcbXd0d3vo7t5u4RzB/TqhncJ+5exy9xGnzYbd+3ahpHisx5sUXB+6a+x+nXudnA5CXYX9wtnkfj5nF3O5eJ/h2uxen682c+W5XyvsI/fj7te597e//3fX2P24vbOz9ws2N581R0XBZrXyGorVtXvPLowuLukz1oXtIZQnlO+vQv8UxiT38zh/52KhME66xwSxWOL+3MGdI3zbiqtH+JzDxTHORuZyobyyAqNGjPQ4zo1L92cZ4T3NPb6IjUujwb1Z3tLSgtSfv+QVQ9WH+uuuuw42mw2//e1vAfRuPRcVFYVly5ZJur68vBwLFixAc3MzUlJS8PLLL2PMmDG4/vrrMXv2bH4V/RdffBGPPNL7bf20adPw73//W9KiFUeOHEFubq7M1hEEQRAEQRAEQRCEutTU1GDw4MFeP1f1ob6jowN/+9vfsG7dOgDAWWedhYULFxpmmxmXy4Vjx44hOTkZpp9f19IS7psXPd8UiERId/0g7fWBdNcH0l0/SHt9IN31gXTXD9JeHyJJd8YY2tvbkZ2dDbOPtwlU3dKusrKS/wWdY8eOHRg7dqya1UrGbDb7/MZDK0Ilvz/cIN31g7TXB9JdH0h3/SDt9YF01wfSXT9Ie32IFN19vXbPoWrywIIFCyQdIwiCIAiCIAiCIAgicFT5pb6hoQF1dXXo6urCzp07+S1GWltb0dHRoUaVBEEQBEEQBEEQBBFxqPJQ//bbb+PJJ5/EsWPH+MXsgN5XJO699141qgxJYmNj8eCDDyI2NlZvUyIK0l0/SHt9IN31gXTXD9JeH0h3fSDd9YO01wfSvS+qLpT3t7/9DQsXLlSreIIgCIIgCIIgCIKIaFTNqT/33HPR2dkJAHj33Xfxf//3fzh27JiaVRIEQRAEQRAEQRBExKDqQ/3111+P2NhYHDhwAA888ACio6Nx7bXXqlklQRAEQRAEQRAEQUQMqj7UWywWWCwWfPrpp/jd736HxYsXo6GhQc0qCYIgCIIgCIIgCCJiUPWhvqenB/X19fj4448xbdo0AIDT6VSzSoIgCIIgCIIgCIKIGFR9qL/rrrtQWFiI1NRUjB8/HpWVlUhPT1ezSll0d3fjwgsvxMiRI1FaWooZM2agoqICQO/2fOeeey5GjBiBkpISfP311/x1ixYtQmFhIcxmMz788EOPMn/88UdMnjwZ48aNQ1FRER599FGv9Xd2duKKK65AQUEBRo4ciRUrVvCfPfDAAxgzZgzKyspQVlaGd955x2s5vs71VYdeGFl3jr179yIhIQF33nmn13LWrFmDCRMmIDY2ts959fX1uOiiizB27FgUFRXhySef9KuL2hhZ9wULFiAnJ4f34d///veyyjlw4ABmzJiB0tJSjB49GsuXLw9UJlUIF+3vv/9+jBo1CqWlpZg4cSI+++wz/jPy+b74izVLlixBUVERxowZg9LSUnR3d4uW89JLL2HMmDGIiorqo+uBAwdwxhlnoKysDKNGjcI999wDl8sVgErKY2Td586dy/t6WVkZzGYzPvroI9FyXC4XbrvtNgwfPhwFBQV49tln+c8aGxtxwQUX8P4+f/58dHV1yZFLUcJF+6effholJSUYM2YMxo4dizfeeIP/rKurC9dccw1KSkpQUlKC2bNno7GxUY5cimFk3QOJEb7mNbfccotH/8XFxeHpp58OUCnlMbr2UuckvuINALz//vsYM2YM7/eHDh0KQCXlCRfdfcUaAFi/fj0mTZqE0aNHo7i4GBs2bAhEJm1gGuJ0OllPT4+WVUqiq6uLrVmzhrlcLsYYY8888ww7/fTTGWOMXXvttezBBx9kjDH2448/spycHGaz2RhjjP3www+ssrKSnX766eyDDz7wKLO0tJStWrWKMcZYc3MzGzBgANu9e7do/Q899BCbP38+Y4yxqqoqNmDAANbU1MQYY+zEiRP8eUeOHGHJycmssbFRtBxf5/qqQy+MrDtjjNlsNjZ16lQ2b948dscdd3htR3l5Odu2bRt74IEH+pw3b9489sADDzDGGLNaray0tJT9+OOP/qRRFSPrPn/+fPbEE09IaoevcqZMmcJefPFFxhhjDQ0NLC8vjx05ckRSuWoSLtp/8sknrLOzkzHG2LZt21hKSgqzWq2MMfJ5MXzp/uGHH7IpU6awlpYWxlivvzocDtFytm3bxvbs2cOuvvrqPn01Z84c9tRTT/HtLSkpYWvWrJEmkEoYWXd3Nm3axDIyMrzOT1599VV25plnMofDwZqbm1leXh7btWsXY4yxO+64g911112MMcYcDgc755xz2HPPPSdNIBUJF+3XrVvHj43Dhw+zjIwMVlFRwRhj7IknnmAXX3wx38brr7+e/f73v5egjnoYWfdAYoSveY07tbW1LC4ujtXW1vrURQuMrH0gcxJf8WbLli2ssLCQHT16lDHGWFtbG+vo6AhQKWUJF919xZqjR4+yIUOGsD179jDGGOvu7vZ45jIKqv5S/9prr3n8e+ONN3z+0qwXcXFxmDVrFkwmEwBg8uTJ/Ddf7777Lm666SYAwKRJk5CdnY3169cDAE466STk5+eLlmkymdDS0gIA6OjoQExMDPr16yd67vLly/k6hg0bhmnTpuGDDz4AAKSlpfHnWa1WMMa8frPq61xfdeiFkXUHgL/+9a+49NJLMWLECJ/t4L6djIqK6vPZ9u3bMWvWLABAYmIiTjvtNLz++us+y1Mbo+suFV/luOs+YMAAlJaWGuLX+nDRfubMmYiPjwcAjBkzBowx/hcy8vm++NL9n//8Jx588EGkpqYC6PVXi8UiWk5paSmKiopgNve9dZtMJrS2tgLo/QXTbrcjKyvLpy5qY2Td3Vm2bBmuuuoqxMTEeC3nt7/9LSwWC/r164fLL78cb7/9Nm9Pe3s7XC4XbDYbOjs7MXjwYAnqqEu4aD99+nR+bOTm5iIzMxM1NTW8PZ2dnbDb7XA4HLBarbprb2TdA4kRvuY17rz66qs455xzkJmZ6fM8LTCy9oHMSXzFm8cffxx33303srOzAQDJyclISEiQrJEahIvuvmLNkiVLMG/ePBQVFQEAYmNjPZ65jIKqD/Uff/wx/++9997DHXfcwTumkXnqqacwZ84cNDc3w263ewSroUOH4vDhw37LePnll7Fw4ULk5eVh5MiRWLRokdegd/jwYQwZMsRrHU8//TQKCwsxfvx4vPDCCxg4cKDXer2d668OI2Ak3X/44Qds2LABt912W1BtmjBhAt566y24XC40Njbis88+0/1VKSFG0p2zZ+zYsTj//POxbds2r3X6KmfChAn8q1NVVVX4/vvvDac7ELraC+vPz8/nyyWf74sv3ffs2YPNmzfjV7/6FSZOnCj7NdYnn3wS7733HrKzs5GdnY1rrrkG48aNk1WWWhhJd46uri68/fbbuO6667zW6auchQsXoqKiApmZmRg4cCCKioowe/Zsv+3QmlDV3p1169bhxIkTmDRpEgDgxhtvRHJyMgYOHIhBgwahtbUVt956q6SytMJIuqsRI1566SXJ/ac1RtI+kDmJv/vF4cOHcfrpp2PcuHFYuHCh4dYqC1Xd3RHGmj179qCrqwtnnXUWysrKcNttt6Gjo8NvOVqj6kP9e++9x//7+OOPsWXLFkPm1LuzaNEiVFRUYPHixUGV88gjj2Dx4sU4fPgwdu/ejQceeAB79uyRVdbtt9+O8vJyfP/991i0aBGam5sVOddIGEn3zs5O3HzzzXjxxRf5bx7l8vjjj8NqtWLcuHGYN28epk2b5vebby0xku4A8PDDD6OyshI7duzAddddh5kzZ8JqtQZczquvvooffvgBZWVluOuuuzB9+nRD6Q6Eh/ZffPEFHnroISxfvpwfK+TzgeFwOHDw4EF8/fXXWLt2LZYuXYrVq1cHXM6SJUtwxRVX4NixY6iursabb76Jzz//POBy1MJounOsWLECI0eOxJgxY2Rd/84776C4uBi1tbU4duwY9u/fj//85z+y7VGDcNB+586duPbaa7F8+XIkJiYCAP773//C5XKhrq4OtbW1SEtLw5///GfZ9iiN0XRXOkZ88803aG9v538JNRJG016pOYnD4cDWrVuxdu1afPvtt/j+++/x/PPPB1yOWoSD7mKxxuFw4Ouvv8Z7772HTZs24cSJE3jwwQdltU1NVH2oFzJs2DDs3r1byyoD4rHHHsPKlSvx6aefIiEhARkZGYiKikJdXR1/zqFDh5CXl+eznKamJnzwwQeYN28eACA/Px+TJ0/Gd999hz179vCLi9xyyy0AgLy8PFRXV/uto7S0FDk5Ofjqq69Ey/F2biB16IHRdK+srMThw4dxxhlnYOjQoXjyySfx0ksvYf78+WhpaeHLmTt3rt+29e/fH6+88gq2b9+Ozz//HCaTCaNHj5Yjk+IYTXcAyMnJ4V8tnjt3LlJSUlBeXh5wOUOHDsX777+Pbdu2YdWqVWhtbTWM7kDoaw/0Lhpz7bXX4uOPP0ZhYSF/nHw+MN3z8vJwxRVXwGKxoH///pg1axY2btzoN8YLee655zB//nwAwMCBAzFr1iw+/uuNEXXnWLZsmccvjWIx3lc5S5YswZVXXgmLxYLk5GRccskl+PLLL+XIpAqhrj3Q+yvZ+eefj5deeglTp07lj7/wwguYO3cu4uLiEBMTgyuvvNIw2htRd28xItB5DceyZcswf/58r+lCemFE7b3NSQKNN3l5ebj44osRHx+PxMREXHTRRdi4caMCqgVPqOsOeI81eXl5OO+885Ceno7o6GhcccUVhtHdAzUT9letWsX/W7lyJfvDH/7AJk2apGaVsnn88cfZ+PHj2fHjxz2Oz58/32ORh+zsbH6RBw7hIg8Oh4Olp6ezL774gjHGWGNjI8vNzWXff/+9aN0PPvhgn0UeuAXu3BeGqKioYAMHDuQXahDi61xfdeiJUXUXnudroRhf5zU1NfF2b9myhQ0aNIgdO3bMb1lqY1Tda2pq+PM2bNjAMjIy+IVLAimnrq6OOZ1Oxhhja9euZbm5ufzCbnoTDtqvX7+e5ebmsi1btvT5jHy+L750f/jhh/nFvTo7O9nEiRPZu+++67MtYosajhkzhi1btowx1rtA4YQJE9hbb73lsxwtMKrujDF24MABlpiYyFpbW3224eWXX+6zcNWOHTsYY4xdcMEFbOHChYyx3sVVL7jgArZo0SLfomhEOGi/Z88eNmTIELZ27do+n912221s/vz5zOVyMZfLxX73u9+xG264wWd5WmBU3eXECG/zn9bWVpaYmMj279/v83qtMar2gcxJfMWbN998k11++eXM6XQyu93OZs+ezR599FHpAqlEOOjuK9Z89913bOrUqay7u5sxxtgtt9zCbr75Zh+K6IOqD/XTpk3j/5111lnspptuYlVVVWpWKYuamhoGgOXn57PS0lJWWlrKTjrpJMZYr0PMmDGDFRQUsOLiYva///2Pv+5vf/sby8nJYTExMSwjI4Pl5OSwhoYGxhhjn3/+ORs/fjwbO3YsKyoqYo8//rjX+q1WK7vssstYfn4+GzFiBFu+fDn/2XnnnceKi4tZaWkpmzBhgs/Jnq9zfdWhF0bW3R1/D/Xr1q1jOTk5LDk5mSUlJbGcnBx+1c5PPvmEFRQUsFGjRrFJkyax9evXByqT4hhZ9+nTp7OSkhJWWlrKJk+e7FF/IOW8+OKLbPjw4WzkyJFs2rRpbOfOnbL1UpJw0b6goIANHDiQb0NpaSk/6SCf74sv3bu6utg111zDioqKWHFxMf+AKMbLL7/McnJyWEJCAktNTWU5OTn8FytbtmxhU6ZMYWPHjmWjRo1i9957L78asV4YWXfGGLvvvvvYNddc47cdDoeD3XzzzWzYsGEsPz+fPfnkk/xnVVVV7Oyzz2YlJSWsqKiI/eY3v2FdXV0B6aQG4aL9WWedxdLS0jxiDTfpbm5uZhdffDErLi5mxcXF7KKLLtL9xwoj6x5IjPA1r2GMsaVLl7LTTjstKK2UxsjaBzIn8RVvnE4nu+eee9ioUaPY6NGj2U033aT7rmLhoruvWMMYY48++igrKipiJSUl7PLLLzfk6vcmxhjT6y0BgiAIgiAIgiAIgiDko2pO/QsvvIDjx4/zfzc3N+PFF19Us0qCIAiCIAiCIAiCiBhU/aW+rKysz7ZI48aNw9atW9WqkiAIgiAIgiAIgiAiBlV/qRf7vsBo+ykSBEEQBEEQBEEQRKii6kN9VlYW3n33Xf7v5cuXIysrS80qCYIgCIIgCIIgCCJiUPX1+3379mHOnDno6ekBACQkJGDVqlUYMWKEWlUSBEEQBEEQBEEQRMSg+ur3TqcT5eXlAIDCwkJYLBb+s4MHD2LYsGFqVk8QBEEQBEEQBEEQYYuuW9qNHz8eW7Zs0at6giAIgiAIgiAIgghpVM2p94eO3ycQBEEQBEEQBEEQRMij60O9yWTSs3qCIAiCIAiCIAiCCGl0fagnCIIgCIIgCIIgCEI+9Po9QRAEQRAEQRAEQYQoqj3UO51OPP300z7Pueiii9SqniAIgiAIgiAIgiDCHlVXv58wYQJ++ukntYonCIIgCIIgCIIgiIhG1dfvZ8yYgTfffFPNKgiCIAiCIAiCIAgiYlH1l/r09HS0trYiJiYGCQkJYIzBZDLh+PHjalVJEARBEARBEARBEBFDlJqFb9u2Tc3iCYIgCIIgCIIgCCKiUfWXegCora1FeXk5pk2bBofDAZfLhZiYGDWrJAiCIAiCIAiCIIiIQNWc+hUrVmDy5MlYsGABAGD37t248MIL1aySIAiCIAiCIAiCICIGVR/qFy9ejC1btiA9PR0AUFpaiurqajWrJAiCIAiCIAiCIIiIQdWHeovFgoyMDI9j9Oo9QRAEQRAEQRAEQSiDqg/1ycnJqK+vh8lkAgB88cUX6Nevn5pVEgRBEARBEARBEETEoOpCeZs3b8YNN9yAqqoqlJSU4ODBg1izZg3KysrUqpIgCIIgCIIgCIIgIgbVV79vbW3F999/D8YYpkyZgrS0NDWrIwiCIAiCIAiCIIiIQdXX74Heh/rm5macOHEC7e3taldHEARBEARBEARBEBGDqg/1b731FsaNG4eVK1dixYoVGD9+PN555x01qyQIgiAIgiAIgiCIiEHV1+9HjRqFTz/9FMOGDQMAHDp0COeeey727dunVpUEQRAEQRAEQRAEETGo+kt9QkIC/0APAEOHDkVCQoKaVRIEQRAEQRAEQRBExKDqL/ULFy6ExWLB9ddfD8YYXn75ZTidTtxzzz0AgJSUFLWqJgiCIAiCIAiCIIiwR9WHerPZ+4sAJpMJTqdTUjnd3d349a9/jT179iA+Ph4DBw7E888/j4KCAv6c//3vf5gxYwYef/xx3HnnncGaThAEQRAEQRAEQRCGJ0rNwl0ul2Jl3XDDDZg5cyZMJhOeffZZXH/99fjqq68A9K6w/8c//hGzZs0K2L5jx44hOTkZJpNJMVsJgiAIgiAIgiAIIhgYY2hvb0d2drbPH8xVfahXiri4OI8H9smTJ+Oxxx7j/7711lvxpz/9CStXrvRZTk9PD3p6evi/jx49iuLiYuUNJgiCIAiCIAiCIAgFqKmpweDBg71+HhIP9UKeeuopzJkzBwCwYsUKmM1mzJ492+9D/eLFi/HQQw/1OV5TU6Nbfn9raytSU1N1qTuSId31g7TXB9JdH0h3/SDt9UEp3Z1tNlg31yFpYiYsKTEKWBbekL/rB2kvn2DGeaTo3tbWhtzcXCQnJ/s8L+Qe6hctWoSKigp88cUXqKurw9///nf+NXx/3Hfffbj77rv5vzmRUlJSdHuob2xspAUDdYB01w/SXh9Id30g3fWDtNcHpXS3tVvRsfEEEicNRUxKkgKWhTfk7/pB2ssnmHEeabr7SxUPqYf6xx57DCtXrsS6deuQkJCAL7/8ErW1tSgrKwMANDU14aOPPkJjYyMefvjhPtfHxsYiNjZWY6t909XVpbcJEQnprh+kvT6Q7vpAuusHaa8PpLs+kO76QdrrA+nuScg81P/rX//C22+/jXXr1iEtLQ0AcN5556G+vp4/Z8GCBSgrKwup1e+HDBmitwkRCemuH6S9PpDu+kC66wdprw+K6c5tzqTeJk1hBfm7fpD2QRDEOCfdPfG+hJ6BOHLkCO655x60tLTgjDPOQFlZGU4++WS9zVKEuro6vU2ISJTS3dlmQ+vn1XC22RQpLxLQ0ufV7J9Q63uKNfpAuuuHP+1DbQyHCkr4vNNqQ8vHVQCAlo+r4LRGRh8F45PhFGtCbWyGk/ZaInWce/MH0t2TkPilfvDgwWASvsF55ZVX1DdGYdxX4ye0Qyndne02tH9xGPHFGbSQj0S09Hk1+yfU+p5ijT6Q7vrhT/tQG8OhQrA+37mjES0fVgAmIH5sf/RUtqD+Xz8h7cICJIwdoJCVxiQYnwynWBNqYzOctNeKQMa5N38g3T0JiYf6cCY/P19vEyIS0l0/SHt9IN31gXTXD9JeH4LV3V7fidj8VKRdWABLUkzvr3kfVsBe36mQheEJ+bt+kPaBo8Q4J909CYnX78OZw4cP622CB3q88qRHnYrpLiEXKNReI1Mbd+2V1Ea0LDVzMg2Q7xmIfkaLNUZAi7FJumsP1681+w76PpHit+I422yoW7U3KL1Spuch46piWJJ6f5GzJMUg46pipEzPU8pM4xLEfSUUYo3k8WSA+2sghIL2RoMb53ABrZ9XAy54H+de/MGf7pEWv+mhXmccDofeJnjAveLibNfwoV6HOpXQXXIukA7tMzLu2iupjbAsNXMyjZLvGYh+Ros1RkCLsUm6aw/Xr652u/dzKH6rgrPdhpjtnUHpZTKLb9vk7Xi4EOx9JRRijZTxZJT7ayCEgvZGgxvPQp8QjnNf/uBP90iL3/RQrzMFBQV6mxCRBKt7545G1P/rJziaOhE/tj8cTZ2o/9dP6NzRqJCF4YsWPq9m/4Rq31Os0QfSXT9yc3NFj4fqGCbCFyV8MhxiTaiOzXDQ3oj48wfS3RPKqdeZqqoqFBcX623GL+jxypMOdQare0C5QCH2GpnaeGivpDZuZamZk2mofM8A9DNcrDECGoxN0l0Hfu7PI0ePYlR+Rp+PKX6rCOklCyXuKyERa/z4h6HurwEQEtobFR8+4c8f/OoeYfFIs1/qnU4nObwILpdLs7r85Zbo8cqT02rDiQ8rAAAnPqzQps42G2K2dmiS8xeKr5GpDefzSmojLCtxcqZqOZlGyff0pp+3ce4v1ohdFyr5aHLs1GpsGinGRwLu/Rr3o1W0XwOJ31rfn0IZut/9QqBjUYn7ipaxRg5S/MMo99dACVR7ubFa6nWhci8Q8wl32335g7+5fCTGI80e6i0WCwYMGIDOTmN/26Y1hYWFmtXlK7dEj1eefqmzGwDgaOrW5DUrZ7sNcTu7Vc/5C9XXyNSmsLBQUW3Eymp4YotoWUrkZBoh39OXft7Gub9YI3ZdqOSjBWqnlmPTKDE+EhD2a3SHSbRfA4vf2t6fQhV37WNL+kX8/S7QsajEfUXLWBMoUmOuEe6vcghUe7mxWup1oXAv8OYTHVvqedt9+YOvuXykzr81ff2+oKAAv/rVr3DppZciKSmJP3777bdraYahKC8vR0lJid5m6PLKE1dn4slZaFq2CxlXjkLHD7WGf81KKqH6GpnalJeXI7c+WTFtIlFnX22OyogXvcYoscYIaOkzpLt2CPt19+YdyNwXFVRcCdf7k9K4a7/30H4UXTgh7OOw0TByrAn3+7SRtTcq3nzC0dytWtnh4m/e0PSh3uVyoaysDAcOHOCPmUzG/vYtrPCRW5IyPc/jGzHuFRfmUi8PhavTdqQdAGCOj1K9TgCa5djooWmooKQ2kaizrzbbj1l7Dwbq32LjIlTy0QK0M2x9JlT6SyWE/crizEHHFc3vTyFK2I4puUT4WBRC/iFArn9IvS4E/M+bT/TUtKNzU11QbYxUf9N09fuXX365z7+XXnpJSxMMh1avS/nLLeG3lhDk4aj5ypPJbBK1S806Fc3j9pOz5PO1oRDJd1KDwsJCr9q4rPaAdQm11/Wk9L1U3xKeZ6/vRNPrewD09W9fsUYsdzhU8tHk2KmVzzjbbMg5mqDJOA+V/lITYf9xPi+nX/W4P4Uy7rq4xxoxvcL9/qf2WPSmn6apPgH2YaAxN9R8JBDt5fqH5G04g/A/LXUXjQ1WG1pXB9/GUJsXKoWmD/Wvvfaa6L9Ipry8XPU6Askt0TIPR+ucF/f6bEOig64vGK1CId9JLXz5fCToImmfXhl5c507GtG4dDtcrTbEFqT18W9vuovlDtc9ugl1/9xs+Hw0o+fNOdtt6PjyqOr+bHQd9CKY+ytpKh9/uodznNfCb7zpp8V80p8NoVK+0kjVXq5/SL0uWP/TU3c5bVRiLh9OaPr6/ccff8z/f3d3N7799ltMnjwZ11xzjZZmRBxGzS3R2i5hzt+QoSMNoQNBKIG9vhMxOcnoqWxB6sxhsKTGSPJvsdzhlo8qAQADbhxrqJghxKixTWtIB+UhTQk5kN8QvpDrH1KvC2X/k9NGmst7oulD/Xvvvefx98GDB/HAAw9oaYLh0OJ1qYBySzTMw9E658W9vsLCQliio4OrLxitQiDfSS18+nwk6CKljTLy5lKm58F+zIqGZ7cBjPUZT950F8sdHnTXBAC/vKpm1Hw0w+fN0foduhLM/ZU0lY9f3cM4zmviN17003T1e7X7MMR8RKr2cv1D6nVB+5+OustpoyJz+TBC09fvhQwbNgy7d+/W0wTdCfR1KTn5LlJzS7TOydQ658W9XHfd5dQXVM6S3HyqEMsx84Y3n4+EnGApbQwkb849D97e2Cl6Heff3nQXyx12ddpFx4WUsaLlfvdGzpvT0p+D1UHr2GI7ZkXD0u2wcYs6KgzXnv1b98ouIxBN5bYnXGK6EPdYI2xjuMd5tWOSL/20ev1e9TUDQiQn3B2p2stdv0rqGk3B+J8eY1OK7cK1lpScy4cbmj7Uf/TRR/y/Dz74AH/84x8RGxsr6drbb78dQ4cOhclkwrZt2/jjn3zyCcaPH4+ysjKUlJTg1VdfVcl6dTCbA+sCtfJdIi1/MFDd3QlGq2CuDbUcM2+IaR8J/ieljYHnlPXmwdvrO9HwxBbY6zq8XufN55XWPpT3u1cKd03tQ2IM789a94+9vhO2g22qvS7JtcfSo0rxfZDbnnAdF+6xRrjuR7jHeTXxp18w8xqlbNC7fL3GlJ5zeSXK0mtsBrvGkBY+H0po+vr9E0888UvFUVEoKCjA8uXLJV17ySWX4N5778XUqVP5Y4wxXHXVVfjqq68wduxYHDp0CKNGjcJFF12E5ORkxe1Xg/z8fL1NABDaeThyCEb3YLSKNJ3FENM+EnSR0sZAc8q4PPj4kgz0VLYivnQA0s/LF73Om89HgvZa466pPcqFaIeZNNWBwTk5epsQkVCsUQd/+mkxn1S7D0PVR4wyl5cL6R4eaPpQ/+WXX8q+9rTTThM9bjKZ0NLSAgBoa2tDRkaG11//e3p60NPzy1f3bW1tsu1RioqKCpSUlEi/QKV8l0jLHwxYdzeC0SoonUMsx8wbYtpHgv9JaWOgOWVcHnzSlGxkXD6KP0/sOm8+r7j2obzfvUK4a7p31y6UlJQY25+17h+N8nFrampQlJ+hTh0i9am253SI4RFrBOt+hHucVxN/+gUzr1HKBt3L12lM6TqXV6As3cZmkGsMaeHzoYTm7y289957uOGGG3DDDTfg/fffD6osk8mE5cuX46KLLsKQIUMwdepUvPrqq4iJiRE9f/HixUhNTeX/5ebmBlW/EkRFSf9eRc18F6XzwIyeKxiI7kKC2X9ers7hlIcopn2o5QTLQUobpeogzINvXX1QdA9t97+9+bySY1/MT5X23VDra3fd5a5JoCZaxxZbfQdaVvXurtCyqhK2+g5Fy3dvT8JPXYZtTzjFdCGcz4ut1SHm38KcWaMgdywqOYYDyZcOZl4jFW6ec2J1FVpWV/nMCZeig9TccqPmhHPoNZdXqqxg5wFy1hURrgskZ40hLXw+lND0of6vf/0rFi9ejOLiYowePRqLFy/G3//+d9nlORwO/P3vf8fKlStRXV2NL774AldffTWamppEz7/vvvvQ2trK/6upqZFdt1Lk5eVJOi/UctGMnisoVfdAUaPdodb3/lBDe6P7m9LI8Qm1fN6XTWrsdx9qfR2o7lq2T+vY0rK6Eg1PbAHrccKSGgPW40TDE1vQsrpSkfKF7YmywpDtCbeYLiQvL89rGzu21IfMmhty7dIrX1rtGM/hbLeh49ujsH57VHYudCDnSEHvMaXHXF7vNrsT6LoiwnWBHE3dstYY0srnQwVNv+JYsWIFNm7ciISEBADA9ddfj1NOOQV/+tOfZJW3bds2HDt2jH81f9KkSRg8eDC2bt2KGTNm9Dk/NjZW8sJ8WlFVVSXp1ZFQzXcxKlJ1NwLh1vehpL1RkeMTausuZlPj0h0AjL/fvZoY2d+1ji22o1aYU2LQ/7oSxAxKhK2+A03LdsF2VJlV8IXt2b15BzL3RRmuPeEW04VUVVUhtz5ZtI2O5m69zQtbjBxr1EbvMaXHXF7vNgeDcF2gjCtHoeOH2oDXGIpknxdD04d6xhj/QA8AiYmJYEHkgOTm5qK2thZ79+5FUVERKioqUFlZqe1enUEi9UuGkMtFM3iuoGpf7qjQ7pDrez+oor3B/U1p5PiE2l9oitmkyn73IdbXAeuuYfu0ji39rxsDc9QvLwjGDEpE9v0nw+VwKVK+sD0xqfHIuGqE4doTbjFdSGxsrNc29tS0o3NTXWisuWGEtRICKEuzH63E+s7XecGeIwG9x5Qec3m92+xBgP0oXBfIHB8la40ho/1Qqzeavn5/0kkn4eqrr8bXX3+Nr7/+GvPnz8dJJ50k6dobb7wRgwcPxpEjR3DOOeegoKAAgwYNwgsvvIDLLrsMpaWlmDt3Lp599tmQeh0jMzNT0nnB5HErjb/6tMhrCnYvbKm6B2STSu028l7ccvClvRxfDufcVG/I8Qk1fF6sbmEOqNz97sWQkoNnNALRXWtfDsSP+uw3LmOsuj8ASznuzwYhQrs57ZXK95Vqt9hxpfaSDgUyMzPFNbfa0LLKc/waNX7LtUt0XRG5ufkBxju1Y7zQJsB3LnSw+dKB4G0urOSY8hUDlZjLB4rUfd2lItdPxdYVkRKrbbUdaHp9T+91P/e/u+1StArU50NhTZ5g0PSh/umnn0Z2djbuvvtu3H333cjKysLTTz8t6dqlS5fiyJEjcDgcqK+vR0VFb7C44oorsHPnTmzfvh07d+7EvHnz1GyC4lRXVwddhtb5aL7q0yrHJ9i9sJXQ3R0j5TYZHV/aB+rLpLt0lPZ5b6gVj6Tk4BkRqbob3ZeF/apHHnSgdQYba4y2l3SoIKa72PhVY80NJZA7FgNZR0C6DdLjndoxvnNHI+oe3QT7EStgMQEWE+xHrKj752YvudDB5UsHitpjzFcM1Or+KgUt14Lwuq7IJ5U+y+rc0YjGpdvharUhtiBN9lgJVPdwj8Oavn6fmJiIf/zjH1pWaXji4+P1NkFRQiXHR2ndQ6XdRkBJ7Ul36YR6rJGSg2dEpOpOvqw8oe7zoYqY7mLjt+Wj3l/3jLbmhtyx6O06OesIyIl3avu7vb4TltRYRGXEIf2SkQCAEyv2w9HcLZoLHWy+dCgRqbHG27oi9oYun9fZ6zsRk5OMnsoWpM4cBktqjKyxEqm6e0PTh3qHw4H3338flZWVcDgc/PE///nPWpphKPr37x98IQbaY1izHJ8g98JWRHc3DJXbZHB8ai8zL4uDdPeO0j7vFZXikZQcPCMiVXfD+7KwX/XIgw6wzqBjjcH2kg4VxHQXG7+qrLmhAHLHYkDrCEi0IZB4p3aMT5me16eN/ReU9LFJqXzpgFF7jPmIgZrdX6Wg4VoQ3tYV6a5uQ9Pz272WlTI9D/ZjVjQ8uw1gTPZYCVj3MI/Dmr5+/+tf/xrPPPMMmpqa0N7ezv+LZALdVk+YDyKWkyKnHMn1+8kX0yJXUIm9sJXezlCLfK5wwZv2cvLrjJSbqkTOsZoE4vNi+xBLuk7F/FiT2SRavtHHmFTdjeTLQoS62+o7NM+DluNbvmKNlvm+Rs0bDwZf8U1Md7Hx6+q0i/q3kvvWy4nDcnOVva0j0Lo68L6XE++CnU9KscnbGinux6XYHmy863O/9TLGlLoP+4uBRw54fw1cyh7uatkZzFoQUjBHmUX7ou2Tgz7LcnXaRefxUsaKe30BzWvCMA4L0fShfufOnfjmm2/wr3/9C//85z/5f5FMUlJSQOe754N4y0mRkpMkJ69EyXwxuSi1F3aguksh3HN1lEJMe6PnE0vBCDnHvgjE56XuQ+yO2n0Yqj6iRqzREqHu9jorGp7YAntdh2b9ILfvfccabfJ9Q9Vv/eErvgUb4426loGWa77IuTaY+aSSaOHzwrmwt/qUaKOUGJiyut1r+6Ts4a6GncGuBSG1v6T2ha/6ApnHu9cn1efDNQ4L0fT1+9zcXNhsNtqCwI2UlBTZ13rLSVErJ0nJfDElbZCzF3YwuhPBIaZ9uOXXGRG1fV7tPgxVHwn1WCPUvWVNFTq3NyK+dADSz8vXpB/k9r2vWKNVvm+o+m0wUIzvJZg2y7nWKLFG6772VV9URvA511JiYMO7e3X3ZaXXglAr3ik1jwek+3ykxB9NHuq5Fe4LCgowbdo0zJ07F3Fxcfznt99+uxZmGJJjx46hX79+0i9wywfxlpMiKSdJRl6JkvliclFqL+yAdZdCmOfqKIWY9obPJ5aCEXKOfRCQz0vdh9gNtfswVH1ElVijIULdU2cOQ9p5+bzuWvSD3L73FWu0yvcNVb/1i4/4FnSMN+paBhqu+SLn2mDmk0qiic8L5sLe6rNzr7wH0UYpMbD5JAsyi71sp63R+h1KrwUhub8k9oWv+gKax7vVJ9XnwzYOC9Dk9futW7di69at6OnpwahRo7B3717+2LZt27QwwbAE8s2qMB/E3tgpmhfoLydJ7l7PUvedVRMp+VwcYvlvXC5OiiXB42+98piCqtNgOdtSEfN5I+cTS8EIOcf+kBprnFYbjr+/n/9b6rgOds/cQPcg93dcb7g8ypSe0Hszzdc6Kdzf3o77KksugfS9e33eYo3a+b5ybZeLVI21ut/5ivFCG4Q6KL2WgZy5jrey1FzzxZ8u/soEgptPKr3+SSDHA0VsbQYxxPK25eAt1rnf21JSUkTbJ7aHu7/2BGunVF8SXif1uDtS+8JffPW1XoOv+lKiEnuPh9n8QS6aPNS//PLLXv+99NJL/HnvvfeeFuYYioSEBEnnecvpcfz86ojUPZuV3OvZ6PtG+9rLPs4V7fWcQNErV8doOdtSkerzoYIRco6lIEV3bh9iR+3Pr6SZxfchDgSpfhqq/uwNLo8ypiP0Jg1GzWkOtD4xnw/H3Eotx5gU/XzFGl82qLOWgZJzHW1yxOUidz4ZSmNAqu1a95mY9l73cF9dqaqdWsVcrf1IrD7z8lrF1k4IBzTNqffH4sWLcemll+pthqbU1dVJ2pLBW05PbH4qurY1St6zWcm9nkN132gAaG5qxkDkKlJWpOTqKIVUnw8VjJBzLAUpunP7EJsTo2E71Ib+146G9bujffYhJqTT2tKKTL2NiFDEfJ7idXBI0U9ujFcjt1fJuY7RfUbufNKo7RFDqu1at1FMe297uNuO/rIKfiT0hZr1Vb+2RbG1E8IBQz3UM4PknmpJenq6pPNSpufBZbXDuqEWSSdn8Tk9PTXt6NrWKHnPZiX3eubK6tjWAABwdtgVz1Fxttlg/aG3zZaUmICudVntHv91ttlg3VgLAEjmXlMTyWMSq9OXHZwO3Os/SSdnBaSD7DYaLGdbKunp6QFrbGS8jU0lc46laONPU2+xxtlmQ9vXR2ACkHRqjsdaHeb4KNF9iANCqp+q6M+6+NbP7UhMTNSmPgURxk65uMdczeKUmx+J+XwguZVGjEmiNmk4xqTox+kuxVb3c9RYy0A413G09PD3aal9Guw9XhIifWM7ZkXLx5VIu2A4YrL9r/IdyHwyVPOLpdqudV6/mPZe93CvaUPD0u1Iu2C4OnYqdC/1F/+09iOxcRg7JxcpWdmKrJ0QDmi6pZ0/TKbQe00xWKKjoyWdZzKbPF4v4fIChXs6SsmdUWqvZ66sts979+ds+7xa8X2j5b5S47Ta0Lq2d5/M1rUH4bTaYK/v6F3QD4Dpm2avec++XtsXs4PPYxKcI3m/VRltDOX9NqOjowPW2MiIjU3uuPA8uUjRxp+m3mKN+/Z1LqtdNA/RW76bX7sl+qna/qy1b7nnUeKrJtE8SqMiFjvl4h5ztYhTQj+KsvvP0fR13Igxqc/WmRqPMSn6cbFGiq1isVNqnf7sFKvP1WEPuE+Dvcf7w1vfSNkKzZ1A5pOBHDcSUm3XOq9fLNa4P9B7XNvUzfer0nYquiaFn/intR+JjcPo6GjF1k4IBwz1UB+JNDQ0yLpOr/0oxcpy/1XHCHlZfBtP9AAAHCd6UPfoJjS/tgcAEFuQBmdDtyHznqUQyvlwgHyfJ4JDiu7dB05ovj93qPuzkD55lHbWJ4/SqIjFzmD6v/nNvQB6Y64e+ZY9L1eFrB9JwahjTCzWeLOh+8AJVWzQuj65KNk3dG/VBqPGmnC7l0rhxKYjEddmX9Dr9zqTkZEh/WS3V2qMtB9lTH4qWj+qQso5Q2CralU2n0bGa0R8Lt1JmWh6aTcy5hWi5eMqMIcLzhM9SD13KHq+PwhzRZdo3nNUv7i+daq5JUmA14VyDhbws887RdocoukEANS3Xa7/uR3zGmvcznc0d2m+P7cm/qyhbwnzKI/uOgTTR/UeeZRGRSx2dvxYJ7v/Y3KS0FPZitRzh8KSFqt5vmXtO7uCq8+IMUnGPEDrewYfayTY6mju9jxXIVSpTwV/8L3HushcxAcBzScJ2QQda1SKK4qPcyPGP8DDrqSeGMTmx4XsfFhpTEyjJ2mn04kFCxbg9ddf93rOp59+ipkzZ2phDgCgra0NqampaG1tDWgrECWpra1FVlaW3/OcVhuaX98LW3UbYoakoN9VoxCV3HerJOZiPl998fa5v+u8lWVv7ETjku1gPU6YYi0YcHMpogckKPL6jbDNGVcXwZLkPweOuRhcnXaPa1PnDkfrygrYDrcjZkgK7DPSkVOQ16fdjrYeHH9zn0ed9roONL++F6zH6dUOubbKuS7YPlQyT1RObvyxyhpE/fe4R5sBoOmV3bAfsSJ6cBL6LxjdG6A1zmmVU5+3PlTKdrHy4YJH2aLnAB7HHGf3Q/bw3D5lc7oDQFROIgZcW9KnfOZivesGBNAeqX7qrWw5MUkMuWPTa3mCfhX+7XK4PF675GK88LjSyF13wR2x2JlxdRHMCdEB94WjvQfH39jXR3cp/Spn7HDlul/b0NGMzEGZfbdFkqKVwn7Tp3wFYo2veYD7mDInifefUmMMQB/dByZn9LHVxEx949Zre/j7spIai7UtmPrU8gdvfdBTa0XT89vBbC6YYswYcEsZYgb1XZ9DqLuU+WQko8R9WazPamtrRWONEFt9R585s1i/KmWXr+O+CMTf1Zyn9bnfCuzi5vJClIxtRkDq86pmr99bLBbs37/f5zm+Huhvv/12DB06FCaTid/bvru7GxdeeCFGjhyJ0tJSzJgxAxUVFUqarTrNzc1+zxF7pabhiS2ir5eouR+lkNZPqkS362j9pCrgsoQE8xpR166mPluMNT65Ffb6X8pyvn4YnTsaPdrduaMRDU9u8aiz7tFNaHplN1iPE9G5yaJ2aJ0KEWwfqr1dlb8tixyvVffRuO6fm0W3HtJzOywp+OpDNbeP6thSz5ctds4vmv5yzPFadR+/rXt0U+8DvcUEWExwHO1A3T83e5QP9F03QAqB5D6Kla3EDVmL7YKEfwsf3LkYr+YDvZgdcs4Rxk5Or65dTQHZ0rmjsXfLVRHdJX3xKGPsiOVbNjc3y8qVN+IWZoHOA9TKVfeGe31tW2pFbRWNW81dqmgsbFsw9anpD2J90LK6Eo1PbQWzuQAAzObymsIj9HfCN0rcl8X6zFuscUfKFnfBoNQ4D9Tf1ZynuZctZhc3lxcSTg/0gaDp6/dnnHEGbrjhBixYsABJSb+s5Dl27Fi/115yySW49957MXXqVI/jN9xwA2bOnAmTyYRnn30W119/Pb766iulTVeNgQMH+j3HqK9bS9muQy7BtFnKFmN1y3dLekWxcekOuLqdcLXbkDQlG3Ej0vrYYYRUiFDBXt8JS14iBl0+2kNjAEibPbzP1kNG36bE96uTwdvu9xVSL+dwmg64cSx/TOjz3PZ1URlxSL9kJADgxIr9cDR3e5QfyhhhjEmJ8UZBKb2MoDsgX3uj2G90m7yRbI8TfSXWX9zSOj1D7pxCbVu5uVXa+fk4/tY+9Js3Ci2rq/zOrUIp1oQbUrRXc86sJEaNNWJ2ic3lIxlNH+qXL18OAPj888/5YyaTCVVV/n/ZPe200/oci4uLw6xZs/i/J0+ejMcee8xrGT09Pejp6eH/bmtrk2S3mtjt/rcMMur2I96263A5XEGXHUybhdeKbTGGcwciJSvbb52D7pqAjq0NaHlvP8CYqB1ybdWtX5XMk/KTxy0kZXoerLVR/GtcnMYA+C1J3LdZ1HybkgC18dWHStjurfyemvbeVcUZ8+q3wC/fVov5fMr0vD7XctvX2Y5a+fJ51MyvU6lsTbYL8mO7lBivCAqs+6GUXkGXE4w/uOdxe9NeIx2k2imFgG3SOh/WrT7XxBRkDB7MfyQ1bmmxHZac+rS2lZtbcdvxRfWL8z63kuLvxC+olc8uQXs158xKYqhY41a2mF1ic/lIRtPV7w8ePNjnn5QHeqk89dRTmDNnjtfPFy9ejNTUVP5fbm6u13O14sQJ/yux6rX9CLcXpLNN/JUab6+TSn3NVFi++9/BtNnb1ibux0+cOCFpCxR7YydaP+p9NaplVSW/NZW9rgMNS7fDdswq21ZNXokUahzEdidSyhI9JuhXoc+bzCbRLUmkblPiz08lt0+GNlxf2Y5ZeX8AIGq7HDtFXx0WbGXp6uw7mRDbgk7o8962qXN12vtslSlVG6EOUlB6Ozul4oho2QJbvW2L6Y6UGB8sUjSUco5SegVTjtNqw4kPe9PoTnxYEViMErSxpbbv68ha6sDXqUAc9mWTsHxbbQeaXt8TUPnBIGxPa91x0Tb7i1tceyTVGWA8VXJOEci1cjBHmXvHwfsHAAAn3j8Ap9UG1unw6Uecvyt1TwwGrW2QUp+aW6eeOHFC1Ab3Y9zcWHie2qlZgRKIvysZa/zFSS5muJ934sQJuKx23f3dKOjiST09PWhra+P/KcGiRYtQUVGBxYsXez3nvvvuQ2trK/+vpqZGkbqDITMzU28TvKJ2PrO/3FQ1kaK7r/ynQPeP1Qt/+UiB5AX6K0ssj1uY/w301T6QssRsVTN3Xao27v4gJQ9eDzul+HywfRHouNAi510phLba66yStsVUO8ZL0TBUtjr6xc6+62tIv/aXNqausRpCByXjsJTyG5duh6vVpttWgqlrrH7X/TDqODcCvF7Hfx4Hx7slraXC+bsRtDHaejhqj/3MzEzJawwZoX+UQOlYIzVOup/nTfdIRdPX7zdu3Ihrr722z4J5TqczqHIfe+wxrFy5EuvWrUNCQoLX82JjYxEb23elWD3p7DT2Q2G4IkV3X/lP0TnJGlipLGpsZ+gvj1uYRwn01T6QsoyYbym1LCXy1IOxU4rPa90XRs3dE0PKWh1itqsd46VoGCo681vqnZzVZ30Nqde6t/HYWzsNp4PaNvRuJZiMnsoWpM4cBktqjOax89hbO3XNnw91+O2Ch6ehdVUlUs4dCltli19NOX83+lo0eqC2D3Z2diLFEqdIWaGCmrFG6npFkai7LzR9qL/jjjvwyiuv4KabbsLXX3+Np59+GnFxwXXGv/71L7z99ttYt24d0tLSlDFUQ4yQ1+8Vrffe1jAHUIruvvKfurhvIo22f6cQP/lIcvNcpeZxC/Mogb7aB1KWqK0K+I3a2ojpoLWdUnxe677QJOddIaSs1SFmu9oxXoqGRl2XRQhnJ5dL7L6+htRrOSxJMWidEovBxXk+z9F6HRO1fT5leh7sx6xoeHab13VglMSb7gNTM9XNnzfqHtoKwOnVsaUeAGCOtUhak4Dzd83XohFDxzUdxFB77Le1tSEzLb2vDQGuOxRKKB5rJMZJd//2qnuEounr93a7HSeffDIcDgeSk5PxwAMP4J133pF07Y033ojBgwfjyJEjOOecc1BQUIAjR47gnnvuQUtLC8444wyUlZXh5JNPVrkVypKdLW2BB2ebDSdWV6FldZVoDrrSqJl7JFa+t9xUSXlSMnSQoru3PCdHcxdaVvXNs5eClnlm3vKRhEjNc/VXlliOtjCP0mm19dGe34pKkAstZpdY+Ur4aTA5k7b6Dg9/sDf2/ZZaTAdA3bxQYdlSfN6b5lL6wlbfgZafc6FbPqyQNC7UznlXMz9fbK0Osb+lxni5SNHQqOuyiNkj1oeiuZyC9RvEzsnOzpakg5o5mcHEYTl5wvbGTtE1CaRoKAexcrNSB0rOn/e1to431J6f6I3JbOpzX+k+2OJX0+zsbMlr0aiJv7V1fCF3XRZ/63CoHQOzUgf2sUHqukNK4i+vX8myXZ12ybHGb9mCPvQWM4T+nRndT3d/NxKaPtRHR0cDADIyMrBlyxY0NjaisVFa7sXSpUtx5MgROBwO1NfXo6KiAoMHDwZjDJWVldi2bRu2bduGH374Qc0mKI7UX3Gc7TZ0fHsU1m+Pqp6DrnbuUSC5qUrsvSyG3F/Pgt1nVKvcHyX7UG5Z3q5r31oner6Se8RrhRR/UHsve28Iy1bzF2NeBwn7KquFUfN2Df02lsqoOaalrN8QyP3ViPfSQPOEuXup42dN/K1JoMbaMJ07GtG57IDsPa71zo02AmL3laalO2E7avXZ5vatdbprE+yaMvLXZQl8HQ6l+MXnf7FBbC2aQNankYuaOfziOe/B6y61LLF41/Vypd91bSIJTV+///Wvf43m5mbcf//9OP3002G32/H3v/9dSxMMh9VqrP0pAW1y/qTmpqqVGyZX90jcZ1RuWd6u66yT/maDGnYpiRR/UHsve6moGWvk7qusJEbwBzGMGOONitJ9qLf2et1LY/NT0bWtMaA1CZTCXt8J+0ALsq8Zr0mbjTLOlUR4Xzn+wQF0/lSP6OwEZMwr8tpme10Hkgy6ZoQSa8r4qk/OOhxK2mAfaEH2jELehpafd01yX4tG67WC1ERJ3aWWJRbv2jYfQ8LETJ/r2kQSmj7U33XXXQCAs88+G8ePH0d3dzeSk0NvwTElkbytnq98nFDY29lH+b5yUyXlhsnQQe52hkHvM6pRLpWSfSi3LG/XWVpaxC8wQj52gEjxB7X3sveKQE81t/AMaF9llTBq3q4Rtk7VDTXHtISyA76/Gu1eGmCeMHcv7alpR9e2Rv9rEqjQ7pTpecBJab17SEPGHtc650YbAeF9JX1OAfrNHcHHU29t7n/eCI+1pfTQJug1ZWTGDDnrcCgF5/PmdjNvg9haNAGtTyMXNXP4RXLeldBdalli8c40NQMpySkAwjMWBIomr99//fXXff5t2LABW7duxddff62FCYalqanJ7znuuSZAb76JlP2RveEvZ0ntvENhHp233FQpe317y0/yl0MkRXcxzFFm0bKl7DMaTJ6ZFOTuz+3PBrllebuuubnv3tHdFSfQ+OJOANL3pBfLx/Rlrxp463f3417Hk4q5j2K+JtfnpcDtqyysU+r+u3LyaoUEmzOpxF7iYgSiuxH2l1aKYPZiF+ogun6DhHVNpN5f1RqHwfiklHub2HoOTqsNLas881xF8+klaiiGcA4htKmpqUm0D/2NMSnzmmDnJ6EwxoRxk2uzt+McYvdWsfOkIlUrf/d9b2vKCBHzSSnzE7GxIne+Kvfe01RT32ftDLHxKWV9Grl2KZ3D716n2NogUtc/8YfUtVTE/m5qaurT13Lv+eGAJg/199xzD+655x7ceeedmDZtGn7zm9/guuuuw7Rp03DnnXdqYYJh6erq8vl5545G1D26CfYjVsBiAiwm2I9I2x/ZG3Lz6JTMO5SbNyd171t/5fvTPRjb5bYnWOT2j5b9CvTVvnNHI5pf2wvW40R0bnJAe9KH6v6kauaFeivbsa9VAcsDq1Nu7rAe/arWXuKBxJpQ9WchauaSB7KuiZT7q945yIHa5Usbqbmpwa4NI5xDCG3q6urym9sbyNo6UpA6dsJljIkRzLxGDCU0lTrGvPrkJ5VBzxXVaLPQhuj3GjTPlRfaINQh2Bx+rs6OLfWKl+3PdqlleYs1gbQvnGKBJq/fb9q0CQDwm9/8Bv/4xz8wY8YMAMC6deskr34frgwZMsTn5/b6TlhSYxGVEYf0S0YCABqe3w5Xuw0JJ4VvHomUvKxgcpX96a40WueZGRmh9vb6TkQNjIf9iBVJU7IRNyIt7PxZiJp5od7KjlYx3IdbnquS7dE61hgBNf0hkHVNpNxfjei3cu9tUnNT1V4bZsiQIYCfNQoDWVuHkIYRY43UMebNJ+0Nvr+oMMLcyl7fiZhhKRhwyShDrWWgVA6/o7lbtbK92S61LCmxJpLQNKd+8+bNeOmll/i/zzrrLNxzzz1ammA46urqfK4rkDI9r08eSeY9Ez3OUTpPT/HrZJQlJS8rmFxlf7oHY7sYau5dHoxdQV0nsyyh9inT8xCVEYcT7+73v9dpgPmXRkXNvFBvZR/Yvx8Dgi49sDplxyQ9+lWlvcQDijUh6s9C1MwlD2RdEyn3VyPmZ8u9t0nNTVV8bRjBf+vq6jAkPrOvnT7GmK+1dWTZFOx5IUhQ8xoxFNBU6hjz5pPd1W1oen57UHPFgJA5v2uorECm1HUk5CBjzhx0Dv/PdSWeNAixuSnKlu3HdqlleY01UgjDWKDplnYWiwVffvkl//f69ethNmtqguHo6enx+TmXgyO2h7e/fBOgb86Itzw6fzmtcnPXxZCS4+MtL8s9V1DqPpZi5fvTPRjbxQgmz0xJu8T61d/+rkrbINTe3tgp6pP+9qS31XcEZbvcPG65eVhy1zwIFG9l9Nik+YQYctfhkBKThD4YyHohSuTiczbI3Uvcn01SY41R9t5WIs9QjVxyDm7iL7RTbL0TKfdXuXaK2aAU3uq313ei6fU9AMS1kZqbKmUtEG+I7Z8urM/W2uV3z27hGPO2to5UnxG7F6i1ToZY2cGepwQ9PT3K7UkudU7h5zypY0zM95xWG1q5fn3/gM+5ojD/W87cKpj5nVisUSqOyJ0zB5XD71Zn6+qDov0qt2yp10gpSyzWiKFmLDASmj5RP/fcc5g/fz6GDx+O4cOH45prrsHzzz+vpQmGIz8/X9J5SuSM+Mqj85XTquQ+28HveR7YPpbeypequxK2G6ks9fcZ9W+Du/ZSczuD3Y9ZDLl53KGav+XN56XYpeR+1r580F7fGVBerRK5+ErnVQttkBJrjJTbraefyo1l3o7JifOBoKVWnTsa0bh0O1ytNsQWpIlqo7YfSdk/ve7RTUj9qN3vnt3KryHS9z6m1joZgDFz+PPz8xWpT6pWmqwNc/znfj3u+x7vK/87sDmmvLYEE2uUWJNASYx0P/JF545GpK2xSprDqhkLjISmr99PmTIFlZWV2LdvHwBg1KhRiI6O1tIEw3H48GGMGjVKk7p85dEljBvk9Tol99kOds/zQPex9Fa+HN2NsPe7kmWpsc+oFBvctZea22nE/ZhDDS1jjVSEPhhfkoGeylZN82rVzquWortRc7u1RmkdjOjzcrHXdyImJxk9lS1InTkMltSYPtqo7UdS9k9vXLoDNpsNAy8Z5XPPbqXXEBG7j7nPTyJhjB0+fBj5yYODLkeqVlqsDRMzPA2tqyqRcu5Q2Cpb/JYtlv8dyHxIblvUijV6+G2ojBV7fSfsAy3IPGtkQHPYUGmfHDR9qAd6X8HPyMiAw+FAbW0tACAvL09rMwyDw+GQdqIC+dK+8ugcdR3i9QSZuy4k2D3PA93H0lv5knVXwHZDlaXyPqNSbHDXXmpuZ9D7MYshN4/bCGsXyMCrz0uxS6V1F4Q+mDQlGxmXj5KeV6tALr7iedUCG6TEGkPlduvop0HvUy9D+6DQUKuU6XmwH7Oi4dltXtceUduPpOyfPuiuCdi9excy43unl9727FZ6DRGx+5j7/ETtcR70eQrgcDgUqU+qVlqsDdOxpR4AYI61SLoXiOV/BzLHDPQ6jqBijQJrEiiJoe5HPkiZnoearHaY3WJNIHNfDqO2Tw6avn7/yiuvIC0tDWPGjMGECRMwYcIETJw40f+FYUxBQYHfc+TmfgivY93iQYd1O3zuFRtM7roQubkzcvex9HZciu5SbVR773el7BLmHSq9z6jU4+7aS83t9LYfszBvTmpfSN0fWak8LLXzt6TkUYr5vBS7gtnP2l99Qh/kcvdE+1uBPa7FUHIsiukpJdYEs/e2kjm7ttoOnznbwdapVFwU01ksr1pOnJeK0mPanzbe7rfu2qi9RoBw3QKuXEdDJ7/mhslsQn7WUL97dku1S/Y+5QK9vM5jZOxnrlS+ebAItcnPHKLInuRS/UgsLoudJweT2SR67/G63pKP/G9ftvqzWWpb5MaaYNYk0HpNDyX6VUlMZhPyM4f0ifv+7hfBrJljdDR9qP/b3/6GTZs2obm5GY2NjWhsbERDQ4OWJhiOqqoqn58Hn4MeWE6U1L1itc5JUbo+f7oHi97500LE8g7VzHP0hRLaB5N7G4jPK5GHpcVYkeJvQt2l2BXsftb+6gvEB9Xc41oJvOl5+H97ZZcppV+VijVScraDrVOtfN9f/MgztzIY7QO1IVh/M0JerVx/c19zo3NHI5qe2a5Z7rqScUUKRsg3F7M9WN2NtlaM3PV21IhbUpAzrwnWR4w2z9SaX3zee059OOfPi6Hp6/f9+/dHYWGhllUaHpfL9xYyweZLB5oTJXWvWK1zUpSuz5/u4YZY3qGaeY6+UEL7YPwhEJ9XIifTKPlbQt2l2KXkftZK7qNrxD2uvenZeUL+mw1aIiVn2wj48qO02cM9civV0j7U739qYq/vhGNQFHKuGa+bNkruoS2lPqPMkbTUXW3krrdjlPurFIxie6jC+fzAGYVec+ojTWMTY9olzi1evBjx8fGYN28e4uLi+OMpKSk+rlKPtrY2pKamorW1VTcb7Ha7z8UCmYuJvhLi7Xig13n7W+p5gdolF6Xr86d7sNiOtKPh2W0YeGsZYgYruG+sTDid3O2Kzk4C0PeVI7X6kEMJ7QPxB2FfBOLzXA4rp5eaYzEYpPibUHcpdrkcLtEUCW/HfSFWH5fDJsUHhb4rJ26pibe6bD02xMTGyCpTSr8qFWuE/s6VJWVMKdkeKXZ68yOh/cFoH6gNvo5LwZc2Wt1v5fpbx5Z6nHh3P9IvG4mEsoFwOB19YrxcW/3ZpGRckeKTcudW/o7LQRgTg9FdzzEthtR7TzBzASWRM68J1keMNs/UGuZicDgdYPXdXud4Wj+rqIXU51VNX79/4IEHcPfddyMzMxPp6elIS0tDenq6liYYjvLycp+fy82nCSQnSuxvYZ6Z3Nx1pVC6vvLyctXykbzlSGm5X62wPi7vUJhTLzfPMRj2b92r2D7YQk2F4yKQdRiEx6XmZEpaD0Kk7+XkcgLy8/yFsUZKHrfY3t+Alz2FZeRLm8zS9roNZo9rJcednJi7/8B+WWVL6ddgc3bd63R12kX3+5WSzy6pLoXyi735i1jOuVTtlbDB13F/SM2rFYt3SiHX34R5z/bGTtF5jVq5677iij+95Pik3LmVv+OBIhYTxXSXtG6B1DUCNNzrm7vHCOv0t96Ot+Nqr2/gby7P2yFj7QLhdUDo77OuxH3ZZDZh//a9Pud4obI+gFJo+lDvcrn4f06nk/9vsPT09ODWW2/FiBEjMGbMGFx11VUKWGt81MyniYRcHTXa6Ct/R2tN1dqTPljMXS7FdPC1V7Xc/WoB9fcu93Ys0LK0yO3Vez9mI+UdahVzpbRZib7vO1Z8xwejrivhrfzoauPfv4yQEyzX32of+VE07zluc99XW9XKXfeFEdYpUAMl/V2u/xlpnQd/GKmvjXrf1xql+jX547aQ1kFpNN/S7qeffsKePXtw9dVXo6WlBV1dXcjKygqqzD/+8Y8wmUzYv38/TCYT6urqFLJWfWiNAX0oLCwEa+hRvFxf+Tvu+dlao+Se9MEyZOhQHMdO1euRu18tEDp5WIHYGaqxJlT6whtydJfSZiV14caKv/hg1HUlvJUfHxXn/2KdMYJ/y/W3un/9BJhdGHBLmUfec3J38CkPevlMKMQVJf3dqGNaSbSwVcv7ayhpryb2+k7ED09Hv4tGRLQO7mj6UL9kyRIsXboUVqsVV199NZqbm3H99dfjyy+/lF1mR0cHli1bhiNHjsBk6n2dIjMzU/Tcnp4e9PT88iDX1tYmu16lKC8vR0lJibyLBXtbOttssP5Qi6STs2BJCfKmqvOe2mpTXl6OkWlDev9QsI2+9r903zNXE1Takz5Yqg8dQrK7fcHgY69qufvVAurvXe71WIBlBWLn/q17Mbg11X98kLv3u0oxI+i+UNIuGWVJjvEB9qsiPioYK/7iQyB1ut+P1N4X2Fv5u3buhNET/ALRxmW1e/xXSxvEzsm6/2SPFJqYQYnIvv9k7NqxA4OElQQ4dnzZJHmuY7D9v5VCSX8PSAeZ956g5qYKzHO16GuxOC+01dlmg3Vjbe+HQd737XUdaH5zL9IuGI6Y7KSQ8V0eBe7LKdPzsHvPbgxI6vWDUBrDaqHp6/cvvPACNm7cyCf5Dx8+HI2Nwb0mUVlZiX79+mHRokWYOHEiTj31VHzxxRei5y5evBipqan8v9zc3KDq1hPRfXoVejUv1HN1pGDqdqnSRq95yl72GFYLf/uBB7MnfbB2xf/8amawOnjbq1rKfrX+UDIPy5+dweQlB5LnLyXtQVi+1L3f1YwZwfSFknap2UY5/RqsjwrHilhfB5Mn7H4/Ujuv0Ws5JuPnTQaSE9y69iAAoHWteGxT0wbRmBJlFr/W7Dm1VDp3XdLWe0Hs/210lPR3uTnpgdx7ZL9yrtA8V6++Ftpqr+9A56beN4mDve+7byPJEQq+C6i7voqv45GApqvfn3zyyfjhhx8wbtw4bN26FQBQVlaGbdu2yS5zy5YtmDBhAl599VVcc8012Lp1K2bMmIHdu3dj0CDP74rFfqnPzc019Or3YnTuaETLhxWACYgdnoaeyhaAAUmnDUbb2kMYeNs4xOQkybLHW9lpFxYgYewAWWUajc4djTjxYQVMGrVRa03F6mN2F2AywRRl0q1fObsYgLiC4GwwahvVtDNYP+qsbsHx53d6jQ/C8rvLj4P1uGCKtSCuMN1rfUaNGUraFUxZ/mK8HvrJ7etAsB21ouGZrUHdj4JF7V1OtIKPnS6AdTtgiouCyaz/GPOGu+5q+Lc/3zJqTFIbtfw9WD3lxAI157lqIKa9e7sdzV04sfIAWLcTsQVpsNdag7rvx5cOQMeGWqRfXojEcQNVbp1yKD02wyXG+0Pq6veavn4/YMAAPu8dAF555RXk5eUFVWZeXh7MZjOuvPJKAMC4ceMwbNgw7Ny5s89DfWxsLGJjY4OqT2nkvH7vLZ/G0dy7yFEwr7NEQq6Ovb4TPf1NGKLjPrrhtG9voHbVjXJg9MSioGwwahvVtDNYP/KX9iB373ejxgwl7QqmLH8xXg/95PZ1QBgghSuo9DYDwa+JclImml7ajYx5hej4sU73MeYNd91V8W8/vmXUmKQ2avl70HrKiAVqznPVQFR7t3bb6zsRk5OEnspWpJ47FJa02KDu+85Wm2cdIYLSYzNcYrxSaPpLfUVFBa644grs3r0bGRkZSElJwerVqzFs2LCgyj377LNx5513YtasWTh48CAmTZqE7du3Iycnx+d1Rtinfs+ePSguLg7oGrH9FZ1WG5pf2wPb4XbEDElBxtVFsCQFnldvpD0dbcesaPm4ks8ZUgrmYti3ZTeyTyR75GWp1UalNfWXUxbsvr1qwdUl9Hk5NgTSxp4j7WhdU6W4H0lByb7w5Ucuq71v7p7731Ybapb+hKhGh9f44G2fZX/7LxspZkipXyl/k1qWvxivh35y+1oqTqsNza/vha26Laj7UbDIub9KRck1bKTEdFenvY+m5oRoQ75q6q674vc/qw1Nr+yG/YgV0YOT0H/BaL+xLNg6tUaub6nl78HoKTcWqDnPDQSxvhA7JtRe2O7UucPR+kFlHx3k3Pdt9R1ofG4bmK337aoBN5ciZlCipPZInVcrukaXG4H4khQb9m7e1WcuLwW12qcWhtynvqCgAD/88AN++uknfPbZZ9ixY0fQD/QA8O9//xv//Oc/MWbMGFx44YVYunSp3wd6o5Cfnx/wNULH57e3aO4KelsHI+WoiOUMKYHJbEJuv6w+eVlqtVHxPY395JT52rdXKRvkwNUl9Hk5NgTSRkdjlyp+JAUl+yKQHFOx7W+iO+AzPnjLn/aXV22kmCGlfqX8TWpZ/mK8HvrJ7WspGGm7JTn3V6louVVi164mUU27djUFXbcauOuupH9L3ZrVqDFJKnJ9Sy1/l6tnMLFAzXluIEjdjtZde2G77XVWND65Ffa6jj62B3rfb1ld2buNpM3lsY1ky+pKSe2ROq9Wa/tMueuyeENsLi+FcN22W5PX74WrzHMP3B0dHQAQ9K/k+fn5Qa2grycVFRVBvzoSqa+aBUNNTU3vq8iE5ijh84R0lEx7IAIn0vzdSPejcNHeSJpKQS3djbQ1qxExmr8bJQVKC9y1VzO9yXbUCnNKDPpfV+KxjaTtqFXpJoUENJf3RJOH+rS0NJhMJri/6c/9bTKZ4HQ6tTDDkERFBd8Fobw1i09UzMm0WCyqla06BshVDQYlfD4gQlwvSfjYho6LD4379gEIo/gQImju7zpjpPuRqtpruFWikTSVglq6G2lrVlWR6VtGizVK+q1uY0DidrTu2gttTZ05DGnn5fO2BmN7/+vGwBz1y0vW3DaSLodLWgE6b1EbEBJskD2XN0L7VECT1+9dLhecTidcLhf/j/s7kh/oAcheKNDZZkPr59Vwtqm/XZAe2Oo70LKq93WillWVsNV3KFa202pDyrbe7ViMtmWfe7+Kfh4G2w0GuzimL4T6qelHRsHfNnTc1kOD07M8tBF93c2P/xGBo6a/GxEj3Y/U0j6YOCwcY1LKMpKmUlBLd5PZJKqXy2oPm7gVjG8ZLdZokQIl1vdK3ccC2Y7WXXs105vcH+ilHHdH6nzICPNMKTbIncsboX1qoWlOPdGXqqoqWdeFaz4I4JYz1OOUlTPkCy7Xydaof76nGL761Ui5qsEg1+el4K6fmn5kFMRy9xqe2CKau1ez76D/vZ3DOK7ohZr+TvhGDe2DjcNi612EekwXopbPe9OrY0t9WMStYP0hEmON1Jz3QBHri7pHN6Hun5tF+8fo2kudDxkhJkmxQe5c3gjtUxNN39U5cOAAbr/9dmzfvh3d3d388ePHj2tphqEw2hZ7RkDNnCEu16ljrBl5Y0cZLi/LF0bPKZOKVj4fCblngeTuReuw+jhBMV5P1NA+kvKE5aKWz/vd5izECdYfKNYoR6Db0cYONbb2UudDRohJUmyQO5c3QvvURNMt7aZNm4bf/e53+Otf/4p33nkHzzzzDIYOHYr7779fKxM8MMKWdu3t7UhODnyZB9uRdjQ8uw0Dby1DzODwWibC5XCJvkrk7XggcNtmCHU3ylY3vvo11Lfp4ZDr81Jw1y8qM1E1PzIKgWxN1lrRAOtL+33GjHCOK3qhpr8TvlFD+2DjsPsYi85OCouYLkQtn/emS09NOxqfC/24FaxvRWKsEbtnKXEfC3Q7WmuH1dDaS51XG2GeKcUGuXN5I7RPDobc0q6trQ2XX345zGYzxowZg6VLl+LDDz/U0gTDUV1dHfA14ZwPAgSXM+QPbtAKdTfCYHZabTjxYQUA4MSHFX36NdTyKr0hx+elIBwXrNshel64PNAD0nP3XJ12tHz8cy6dj/y0UIkroZT7r5a/E/4Raq+E3wQTh4VjjFvvQk5ZRkYtnxddB8RqQ+vq0Ihb/gj2Hh8qsUaPnPdACXQ7WqW0tx2zomHpdtiOBf9GobvOUufVRphnSrGB+//Dew/6XSso0LJDGU1nt9HR0QCA5ORkHDp0CD09PWhqMuY+q1oRHx8f0Pnhng+iFYHqrjZS998NB9TQnsaFdzhtLO3Mb35aqOgXSrn/Ros1kYRQez39JtTGWDBo5fORpKkUQiXW6JHzrjZKaS91H3kphNJ9Ui7xLDrs2xgImubUn3baaWhubsatt96KCRMmICYmBr/+9a+1NMFw9O/fP6Dzwz0fRCsC1V1tImn/XTW0p3HhHU4b85mDkJ6d4TM/jfRTHqPFmkjCSNpH0hjTSvdI0lQKRvJ3tQk0511tIkl7I5GWloZORPaPw+5o/lBvsVgwb948nHrqqTh48CDa29u1NMFw1NTUIDU1VfL5obZfrVEJVHe1iZj9d6GO9jQuvMNps2vXLqRnZ4hqE3L6hdAes0aLNZFEH+119JuQG2NBoJXPR5KmUgiZWKPAOBTr+0F3TQDwy6vUWvqDYtorGaNC6D4pl/q6eiQDYd3GQND09fuFCxciLS0NAJCbm4tTTz0VCxcu1NIEw5GUlBTQ+eGeD6IVgequNt723w3HflVD+0geF/7yEzkNhLqL5ad5u9ZIhFLuP2C8WKMFRlnzwF17tf1G6jiUejyU0crnI0lTKaipu5p58HIINOddLlLbLUV7f2VJ3UdeCqF2n5SD02pD0pYeAL7baJT7kRboumKUyWSC0+nU0wTd0WvV/UjHaLpHUm6g0bQPdaTmzYWD7qE4TsJB90AxSi4np70WfmOUNhuBSPR5I6Cm7mrlwRs9fit5f/VVltR95KUQijoHCtdGU5vTbxsjKTZr+vp9cnIyvv/+e0yZMgUA8N133xl6CwgtOHbsGPr166e3GRGH0XSPpNxAo2kfKYSD7qE4TsJB91CF0z4U/SaUIZ/XB6PrHs7jMFjtpe4jL4Vw1pmDa2PdKAcGTywKyzbKQdOH+kcffRRz587FqFGjAAAHDhzABx98oKUJhoO+0dYHo+keSbmBRtM+5JGYNxcOuofiOAkH3QPGILmcnPaa+I1B2mwEItLnDYCququUB2/0+K3o/dVHWf2vG+OxvVzMoERk338yXA6XZFN5W0JR5wDh2thx+DAAP22MoNis6ev3p5xyCvbu3Yt7770X9957L3bv3o2TTjpJSxMMR0JCgt4myCLUc1SMpnuo5wYG4g9G0z6UCSRvLhx0D8VxEg66B4KRcjk57dX2GyO12QhEms8bBbV0d1ptOPFhBQDgxIcViubB+zquN0reX/2VJXUfeSmEms5y4Noi1F3YxkiLzZrn1Kenp2PWrFmYNWsWv2hesBw4cABTpkzByJEjMWnSJOzevVuRcrWgrq5ObxNkEeo5KqGqu1EJxB9Ie2UING+OdNeHSNLdaLmcWmhvtDYbgUjyeSOhhu6/+Hc3AMDR1B0R/q3k/ZVihHqQ7p5o+vq9Wtx444244YYbsGDBAqxYsQILFizApk2b9DZLEunp6XqbEJGQ7vpB2itDoHlzpLs+RJLuRsvl1EJ7o7XZCESSzxsJNXTn/Dvx5Cw0LduFjCtHoeOH2rD3byXvrxQj1IN09yTkH+obGhqwefNm/Pe//wUAXHzxxbj11ltRUVGBgoICj3N7enrQ09PD/93W1qaprWJER0frbYI8QjxHJWR1NyoB+ANprwyB5s2R7voQSbobLZdTC+2N1mYjEEk+byTU0J3zb9uRdgCAOT4qIvxbyfsrxQj1IN090XVLOyWoqalBVlYWoqJ6v58wmUzIy8vD4Z8XT3Bn8eLFSE1N5f/l5uZqbW4fGhoa9DYhYMIhRyUUdTcqgfoDaa8MgebNke76EEm6Gy2XUwvtjdZmIxBJPm8k1NDdZDaJ3uPD3b+VvL9SjFAP0t2TkH+oD4T77rsPra2t/L+amhq9TUJGRobeJgREuOSohJruRkWOP5D2+kC66wPprh+kvT6Q7vqghu7hMudTG/J5fSDdPQn51+9zc3NRW1sLh8OBqKgoMMZw+PBh5OXl9Tk3NjYWsbGxOlgZPkRijgrhHfIHgiAIgghP6B5PEKFDyD/UDxw4EOPHj8cbb7yBBQsW4P3338fgwYP75NOLwX7O/9Uzt766uhqJiYm61R8wk9IQbU5Hh6sbaOtdDTV69mAwFzPEGgVSCTndjYoMfyDt9YF01wfSXT9Ie30g3fVBFd3DZM6nNuTz+hApunNjjflZt8rE/J0RApSXl2PBggVobm5GSkoKXn75ZYwZM8bvdUeOHDFEXj1BEARBEARBEARBiFFTU4PBgwd7/TwsHurl4nK5cOzYMSQnJ8Nk0n7hhLa2NuTm5qKmpgYpKSma1x+pkO76QdrrA+muD6S7fpD2+kC66wPprh+kvT5Eku6MMbS3tyM7Oxtms/fl8EL+9ftgMJvNPr/x0IqUlJSwd0gjQrrrB2mvD6S7PpDu+kHa6wPprg+ku36Q9voQKbqnpqb6PSeiVr8nCIIgCIIgCIIgiHCCHuoJgiAIgiAIgiAIIkShh3odiY2NxYMPPkjb7GkM6a4fpL0+kO76QLrrB2mvD6S7PpDu+kHa6wPp3peIXiiPIAiCIAiCIAiCIEIZ+qWeIAiCIAiCIAiCIEIUeqgnCIIgCIIgCIIgiBCFHuoJgiAIgiAIgiAIIkShh3qCIAiCIAiCIAiCCFHooR5Ad3c3LrzwQowcORKlpaWYMWMGKioqAAANDQ0499xzMWLECJSUlODrr7/mr1u0aBEKCwthNpvx4YcfepT5448/YvLkyRg3bhyKiorw6KOPeq2/s7MTV1xxBQoKCjBy5EisWLGC/+yBBx7AmDFjUFZWhrKyMrzzzjtey/F1rq869MLIunPs3bsXCQkJuPPOO72Ws2bNGkyYMAGxsbF9zquvr8dFF12EsWPHoqioCE8++aRfXdTGyLovWLAAOTk5vA///ve/l1XOgQMHMGPGDJSWlmL06NFYvnx5oDKpQrhof//992PUqFEoLS3FxIkT8dlnn/Gfkc/3xV+sWbJkCYqKijBmzBiUlpaiu7tbtJyXXnoJY8aMQVRUVB9dDxw4gDPOOANlZWUYNWoU7rnnHrhcrgBUUh4j6z537lze18vKymA2m/HRRx+JluNyuXDbbbdh+PDhKCgowLPPPst/1tjYiAsuuID39/nz56Orq0uOXIoSLto//fTTKCkpwZgxYzB27Fi88cYb/GddXV245pprUFJSgpKSEsyePRuNjY1y5FIMI+seSIzwNa+55ZZbPPovLi4OTz/9dIBKKY/RtZc6J/EVbwDg/fffx5gxY3i/P3ToUAAqKU+46O4r1gDA+vXrMWnSJIwePRrFxcXYsGFDIDJpAyNYV1cXW7NmDXO5XIwxxp555hl2+umnM8YYu/baa9mDDz7IGGPsxx9/ZDk5OcxmszHGGPvhhx9YZWUlO/3009kHH3zgUWZpaSlbtWoVY4yx5uZmNmDAALZ7927R+h966CE2f/58xhhjVVVVbMCAAaypqYkxxtiJEyf4844cOcKSk5NZY2OjaDm+zvVVh14YWXfGGLPZbGzq1Kls3rx57I477vDajvLycrZt2zb2wAMP9Dlv3rx57IEHHmCMMWa1WllpaSn78ccf/UmjKkbWff78+eyJJ56Q1A5f5UyZMoW9+OKLjDHGGhoaWF5eHjty5IikctUkXLT/5JNPWGdnJ2OMsW3btrGUlBRmtVoZY+TzYvjS/cMPP2RTpkxhLS0tjLFef3U4HKLlbNu2je3Zs4ddffXVffpqzpw57KmnnuLbW1JSwtasWSNNIJUwsu7ubNq0iWVkZLCenh7Rcl599VV25plnMofDwZqbm1leXh7btWsXY4yxO+64g911112MMcYcDgc755xz2HPPPSdNIBUJF+3XrVvHj43Dhw+zjIwMVlFRwRhj7IknnmAXX3wx38brr7+e/f73v5egjnoYWfdAYoSveY07tbW1LC4ujtXW1vrURQuMrH0gcxJf8WbLli2ssLCQHT16lDHGWFtbG+vo6AhQKWUJF919xZqjR4+yIUOGsD179jDGGOvu7vZ45jIK9Es9gLi4OMyaNQsmkwkAMHnyZP6br3fffRc33XQTAGDSpEnIzs7G+vXrAQAnnXQS8vPzRcs0mUxoaWkBAHR0dCAmJgb9+vUTPXf58uV8HcOGDcO0adPwwQcfAADS0tL486xWKxhjXr9Z9XWurzr0wsi6A8Bf//pXXHrppRgxYoTPdnDfTkZFRfX5bPv27Zg1axYAIDExEaeddhpef/11n+WpjdF1l4qvctx1HzBgAEpLSw3xa324aD9z5kzEx8cDAMaMGQPGGP8LGfl8X3zp/s9//hMPPvggUlNTAfT6q8ViES2ntLQURUVFMJv73rpNJhNaW1sB9P6CabfbkZWV5VMXtTGy7u4sW7YMV111FWJiYryW89vf/hYWiwX9+vXD5Zdfjrfffpu3p729HS6XCzabDZ2dnRg8eLAEddQlXLSfPn06PzZyc3ORmZmJmpoa3p7Ozk7Y7XY4HA5YrVbdtTey7oHECF/zGndeffVVnHPOOcjMzPR5nhYYWftA5iS+4s3jjz+Ou+++G9nZ2QCA5ORkJCQkSNZIDcJFd1+xZsmSJZg3bx6KiooAALGxsR7PXEaBHupFeOqppzBnzhw0NzfDbrd7BKuhQ4fi8OHDfst4+eWXsXDhQuTl5WHkyJFYtGiR16B3+PBhDBkyxGsdTz/9NAoLCzF+/Hi88MILGDhwoNd6vZ3rrw4jYCTdf/jhB2zYsAG33XZbUG2aMGEC3nrrLbhcLjQ2NuKzzz7T/VUpIUbSnbNn7NixOP/887Ft2zavdfoqZ8KECfyrU1VVVfj+++8NpzsQutoL68/Pz+fLJZ/viy/d9+zZg82bN+NXv/oVJk6cKPs11ieffBLvvfcesrOzkZ2djWuuuQbjxo2TVZZaGEl3jq6uLrz99tu47rrrvNbpq5yFCxeioqICmZmZGDhwIIqKijB79my/7dCaUNXenXXr1uHEiROYNGkSAODGG29EcnIyBg4ciEGDBqG1tRW33nqrpLK0wki6qxEjXnrpJcn9pzVG0j6QOYm/+8Xhw4dx+umnY9y4cVi4cCGcTqffdmhJqOrujjDW7NmzB11dXTjrrLNQVlaG2267DR0dHX7L0Rp6qBewaNEiVFRUYPHixUGV88gjj2Dx4sU4fPgwdu/ejQceeAB79uyRVdbtt9+O8vJyfP/991i0aBGam5sVOddIGEn3zs5O3HzzzXjxxRf5bx7l8vjjj8NqtWLcuHGYN28epk2b5vebby0xku4A8PDDD6OyshI7duzAddddh5kzZ8JqtQZczquvvooffvgBZWVluOuuuzB9+nRD6Q6Eh/ZffPEFHnroISxfvpwfK+TzgeFwOHDw4EF8/fXXWLt2LZYuXYrVq1cHXM6SJUtwxRVX4NixY6iursabb76Jzz//POBy1MJounOsWLECI0eOxJgxY2Rd/84776C4uBi1tbU4duwY9u/fj//85z+y7VGDcNB+586duPbaa7F8+XIkJiYCAP773//C5XKhrq4OtbW1SEtLw5///GfZ9iiN0XRXOkZ88803aG9v538JNRJG016pOYnD4cDWrVuxdu1afPvtt/j+++/x/PPPB1yOWoSD7mKxxuFw4Ouvv8Z7772HTZs24cSJE3jwwQdltU1N6KHejcceewwrV67Ep59+ioSEBGRkZCAqKgp1dXX8OYcOHUJeXp7PcpqamvDBBx9g3rx5AID8/HxMnjwZ3333Hfbs2cMvLnLLLbcAAPLy8lBdXe23jtLSUuTk5OCrr74SLcfbuYHUoQdG072yshKHDx/GGWecgaFDh+LJJ5/ESy+9hPnz56OlpYUvZ+7cuX7b1r9/f7zyyivYvn07Pv/8c5hMJowePVqOTIpjNN0BICcnh3+1eO7cuUhJSUF5eXnA5QwdOhTvv/8+tm3bhlWrVqG1tdUwugOhrz3Qu2jMtddei48//hiFhYX8cfL5wHTPy8vDFVdcAYvFgv79+2PWrFnYuHGj3xgv5LnnnsP8+fMBAAMHDsSsWbP4+K83RtSdY9myZR6/NIrFeF/lLFmyBFdeeSUsFguSk5NxySWX4Msvv5QjkyqEuvZA769k559/Pl566SVMnTqVP/7CCy9g7ty5iIuLQ0xMDK688krDaG9E3b3FiEDnNRzLli3D/PnzvaYL6YURtfc2Jwk03uTl5eHiiy9GfHw8EhMTcdFFF2Hjxo0KqBY8oa474D3W5OXl4bzzzkN6ejqio6NxxRVXGEZ3D3TO6TcMjz/+OBs/fjw7fvy4x/H58+d7LPKQnZ3NL/LAIVzkweFwsPT0dPbFF18wxhhrbGxkubm57Pvvvxet+8EHH+yzyAO3wJ37whAVFRVs4MCB/EINQnyd66sOPTGq7sLzfC0U4+u8pqYm3u4tW7awQYMGsWPHjvktS22MqntNTQ1/3oYNG1hGRga/cEkg5dTV1TGn08kYY2zt2rUsNzeXX9hNb8JB+/Xr17Pc3Fy2ZcuWPp+Rz/fFl+4PP/wwv7hXZ2cnmzhxInv33Xd9tkVsUcMxY8awZcuWMcZ6FyicMGECe+utt3yWowVG1Z0xxg4cOMASExNZa2urzza8/PLLfRau2rFjB2OMsQsuuIAtXLiQMda7uOoFF1zAFi1a5FsUjQgH7ffs2cOGDBnC1q5d2+ez2267jc2fP5+5XC7mcrnY7373O3bDDTf4LE8LjKq7nBjhbf7T2trKEhMT2f79+31erzVG1T6QOYmvePPmm2+yyy+/nDmdTma329ns2bPZo48+Kl0glQgH3X3Fmu+++45NnTqVdXd3M8YYu+WWW9jNN9/sQxF9oId61juZBcDy8/NZaWkpKy0tZSeddBJjrNchZsyYwQoKClhxcTH73//+x1/3t7/9jeXk5LCYmBiWkZHBcnJyWENDA2OMsc8//5yNHz+ejR07lhUVFbHHH3/ca/1Wq5VddtllLD8/n40YMYItX76c/+y8885jxcXFrLS0lE2YMMHnZM/Xub7q0Asj6+6Ov4f6devWsZycHJacnMySkpJYTk4Ov2rnJ598wgoKCtioUaPYpEmT2Pr16wOVSXGMrPv06dNZSUkJKy0tZZMnT/aoP5ByXnzxRTZ8+HA2cuRINm3aNLZz507ZeilJuGhfUFDABg4cyLehtLSUn3SQz/fFl+5dXV3smmuuYUVFRay4uJh/QBTj5ZdfZjk5OSwhIYGlpqaynJwc/ouVLVu2sClTprCxY8eyUaNGsXvvvZdfjVgvjKw7Y4zdd9997JprrvHbDofDwW6++WY2bNgwlp+fz5588kn+s6qqKnb22WezkpISVlRUxH7zm9+wrq6ugHRSg3DR/qyzzmJpaWkesYabdDc3N7OLL76YFRcXs+LiYnbRRRfp/mOFkXUPJEb4mtcwxtjSpUvZaaedFpRWSmNk7QOZk/iKN06nk91zzz1s1KhRbPTo0eymm27yunOEVoSL7r5iDWOMPfroo6yoqIiVlJSwyy+/3JCr35sYY0yvtwQIgiAIgiAIgiAIgpAP5dQTBEEQBEEQBEEQRIhCD/UEQRAEQRAEQRAEEaLQQz1BEARBEARBEARBhCj0UE8QBEEQBEEQBEEQIQo91BMEQRAEQRAEQRBEiEIP9QRBEARBEARBEAQRotBDPUEQBEEQBEEQBEGEKPRQTxAEQRAEQRAEQRAhCj3UEwRBEARBEARBEESIQg/1BEEQBEEQBEEQBBGi0EM9QRAEQRAEQRAEQYQo9FBPEARBEARBEARBECEKPdQTBEEQBEEQBEEQRIhCD/UEQRAEQRAEQRAEEaLQQz1BEARBEARBEARBhCj0UE8QBEEQBEEQBEEQIQo91BMEQRAEQRAEQRBEiEIP9QRBEARBEARBEAQRoqj6UM8Y63Oss7NTzSoJgiAIgiAIgiAIImJQ9aH+5ptv9vi7u7sbF1xwgZpVEgRBEARBEARBEETEoOpDvdVqxT/+8Q8AgMPhwKWXXopf/epXalZJEARBEARBEARBEBGDiYm9I68QNpsNM2fOxLXXXouPP/4YgwcPxuOPP65WdQRBEARBEARBEAQRUaj6UA8Ara2tmDp1KqZOnYrnn39ezaoIgiAIgiAIgiAIIqJQ5aE+PT0dJpOJ/7unpwfR0dEwm3vf9j9+/LjSVRIEQRAEQRAEQRBExBGlRqHbtm1To1iCIAiCIAiCIAiCINxQ/fX72tpalJeXY9q0aXA4HHC5XIiJiVGzSoIgCIIgCIIgCIKICFRd/X7FihWYPHkyFixYAADYvXs3LrzwQjWrJAiCIAiCIAiCIIiIQdWH+sWLF2PLli1IT08HAJSWlqK6ulrNKgmCIAiCIAiCIAgiYlD1od5isSAjI8PjGL16TxAEQRAEQRAEQRDKoMpCeRzJycmor6/nV8L/4osv0K9fPzWrDAiXy4Vjx44hOTnZY7V+giAIgiAIgiAIgtATxhja29uRnZ3N7yQnhqoL5W3evBk33HADqqqqUFJSgoMHD2LNmjUoKytTq8qAOHLkCHJzc/U2gyAIgiAIgiAIgiBEqampweDBg71+rvrq962trfj+++/BGMOUKVOQlpamZnUB0drairS0NNTU1CAlJUU3G1JTU/2eV1dXhzVr1sButyMmJgazZs1CZmamBhb+Qnt7O7Zu3YqRI0di//79GDduHJKTkzW1oa6uDuvWrcMpp5yCo0ePyrZBqu5itLe345tvvkFdXR369++PhIQEnHzyyZppYYR+ENoSiA3BaC+ksrISn3zyCbKyspCYmIjo6GhN+0JoR15eHs4880xN6xf6Y3R0tKgOSuruzY7//e9/qKqqQlJSEi644AJdYtTGjRthMpl08QPOhq1btyInJwfffPMN0tPTNfcJveH6oaurC01NTcjKysLUqVM110Btn5eKEfySsyPQeC0HMd25OHX48GF0d3dj2LBhuowLbg5x1llnaR6f1CZQf9fKH3zVC0AXG5Qm2DmlUeKDnnbU1dVh7dq16Nevn+R5tVFivNq0tbUhNzcXLS0tPtur6uv3AFBRUYGmpiZcffXVaGlpQW1tLbKysiRd29PTg3vuuQefffYZ4uLiUFpaijfeeKPPecuWLcMjjzwCl8uFM888E0uWLEF0dLTf8rlX7lNSUnR7qG9sbJRU96FDh9Da2goA6OzsRHd3t+Y2W61WbN68GXl5edi8eTPGjx+vuQ2HDh1CQ0MD2tragrJBqu5iWK1W7Nu3DwDQ0tICAJg8ebJmWhihH4S2BGJDMNoLaWtrg91ux+HDh/ljWvaF0I7KykpMnz5d0/rF/BHoq4OSunuzo7KyEkDv5ECvGLVz504A+vgBZ8PmzZuRnJyM48eP4/jx45r7hN649wPQ65ennnqq5hqo7fNSMYJfcnZocc8Q0909TgHQJVYCv8wh9IhPahOov2vlD77qBaD7PEYJgp1TGiU+6GnHoUOH+HumVBuMEuO1wl+quKoL5S1ZsgS/+c1v8Je//AUA0NzcjHnz5km+/o9//CNMJhP279+PnTt34rHHHutzzsGDB7Fw4UJ88803qKioQH19PV544QWlmqA6XV1depsQkZDu+kHa6wPpTkQa5PP6QLrrA+muH6S9PpDunqj6UP/CCy9g48aN/Lcow4cPR2Njo6RrOzo6sGzZMjz88MP8NxNir0qtWLECs2fPRmZmJkwmE2666Sa8/fbbomX29PSgra3N45/eDBkyRNJ5wiwJlbMmfGKEuoO1QaruRkbPfggGJbU3igZGscMXWvt8KGiiJpHefiMQDnE+FDGy7krNIYyIkXUPd0j74JEzJkl3T1R9qI+NjUV8fLzHsagoaW/8V1ZWol+/fli0aBEmTpyIU089FV988UWf8w4fPuzRqUOHDvV4FdedxYsXIzU1lf9nhEXy6urq/J5TX1+Pjz/+2OPY6tWrUV9fr5ZZfbBarfj0008BAGvWrAEAfPrpp7BarZrZUF9fz9e9fv36oGyQorsYVqsVq1at6nN89erVmmhhhH4QsyUQG+RqL+TgwYP46quv+hzXqi+82fHBBx9oVr83fwT66qCU7t7s+OCDDzyOffzxx5rHqNWrV/N/a+0HnA3cmHD3iY8++kiXMaoHwn7g0EMDNX1eKkbwS84OOfFaDkLdvcUpLWMl4DmHWLNmjabxSQsC8Xct/cFbvatXr+bHhl7zGKUIZk5plPigpx319fV97htSbDBCjDcSqi6Ud/755+Nf//oXfv3rX2PLli145ZVXsHLlSnz00Ud+r92yZQsmTJiAV199Fddccw22bt2KGTNmYPfu3Rg0aBB/3m233Ybs7Gzcd999AIA9e/bg3HPPFX2w7+npQU9PD/83t/BAa2urbjkZu3btQklJidfP165di40bN3r9fPLkyTj33HPVMI1n9+7dWL16NZxOJ//PYrHw/84//3yMHj1aVRvcdTCZTPw3elFRUYiOjg7YBn+6i7F792588MEHcDgcop/HxMRgzpw5qmlhhH4Q2mIymTBs2DAcPHgQjDFJNsjRXsibb76JAwcOeP1c7b7wZ4fZbMbFF1+sav3+/BHw1EEJ3b3Z8f7778Plcol+rlWMWrVqFWw2GywWCwDA6XRq5gecDatXr4bdbhftk6ioKMydO1ezMaoH7v0ghtYaqOXzUjGCX3J2yI3XcnDX3V+c0iJWAp5ziJSUFP5NTS3ik1ZI9Xet/UGs3n79+uHIkSMAgMGDB+P48eOa2KAWcueURokPetrh6znHnw16x3itaGtrQ2pqqt/nVVUXynvyySdxxRVXYN++fcjNzUVKSoroN/hi5OXlwWw248orrwQAjBs3DsOGDcPOnTs9Hurz8vL4xZmA3oUW8vLyRMuMjY1FbGxsEC1Snvz8fJ+f19bW8nsSxsfH47zzzsPq1avR1dUFs9mM2tpa1W1saGjA0KFDkZaWhpaWFkybNg1fffUV/3dDQ4Pqg762thbJyckYOXIkOjs7cdJJJ2HlypVITU1FcnJywDb4012MhoYGREdHw2QyITExEf369YPD4UBtbS2ioqKQmJioqhZG6AehLeeddx6SkpJgtVqxZs0aSTbI0V6sfpPJhJSUFFgsFiQkJODYsWMwmUxITU2F2WzWRA/Ojry8PFx66aVobGzEG2+8AZPJpHr9Qn8Eer+4tNvtiI6ORnx8vIcOSujuzQ6z2QyXy4WEhARceuml+PLLL3H48GGYTCbNYlRKSgrS09MxZ84cAMCqVatw4sQJzcYFNyba29vR0NCArKwsxMTEICEhARUVFWCMaTpG9YDrB6vVCqfTye+pe+LECXR0dCA6OlpTDdTyeakYwS85O+TGazm4687FKYfDAZPJhJycHJjNZhw9ehROp1OzWM3NIa666ioMGjQI9fX1eOONNzSJT1oh1d+19gexejdt2sS/yZudnY1f//rXmtigFnLnlEaJD3raUVtby98rBwwYgClTpmDFihVwuVx+59V6x3ijofqWdi6XC+Xl5WCMobCwkP8WSApnn3027rzzTsyaNQsHDx7EpEmTsH37duTk5PDnVFVVYerUqdiyZQsGDRqEOXPm4Oyzz8att97qt3yp33yoyb59+zBq1CivnzudTv7/3bXzdlwNXC4XP2nnvmDwdVwNuF+lhXV5O+4Pf7qL4XK5wBjj13jg6vN2XGmM0A/COqUed0eO9kIcDodHPdz/ezuuFlx9wnq8HVcSod8B4P1A7LgSunuzw+VywWQyecQib8fVgHtLQKi3t+Nq2WA2m+F0OmEymfg69+7di6Kioj7HwxFOb87/3GOk2HG1UcvnpWIEv+Tqkxuv5eCuOxePGGMeMdHbcbXg5gpSj4ciUv1da38QK1/K/4cScueUgDHig552cPdGYV3ejrujd4zXCkP8Uv/3v/8dM2bMwKRJk2Q5xb///W9cd911+MMf/gCz2YylS5ciJycH119/PWbPno3Zs2cjPz8fDz30EH71q18BAKZNm4Ybb7xR6aaohq9XZwHvD+xa3oS4vhP2obfjasC1V1iXt+P+8Ke7GN7q0CrwGqEfhHVKPe6OHO2FeFubQ+qaHUqhpx2B9oESunurT6xOLSbq7nUFclxNG4SxmfsCNlweHHxhhH5wRy2fl4pR9NDaDnfdjaKBEeZSaiPV3/XqE29fuGv5RbxahOKc0ih2BDM29Y7xRkPVX+r/9re/4fPPP8eePXswZcoUnHXWWZg+fbphXq0xwi/13d3diIuL06XuSIZ01w/SXh9Id30g3fWDtNcH0l0fSHf9IO31IVJ0l/q8qurXMAsXLsTXX3+N6upqXHLJJXjiiScwduxYNasMOaqqqvQ2ISIh3fWDtNcH0l0fSHf9IO31gXTXB9JdP0h7fSDdPVH1HdF169Zh3bp1+N///geXy4VLL70UM2bMULPKkMPbitGEupDu+kHa6wPprg+ku36Q9vpAuusD6a4fpL0+kO6eqPr6vdlsxpQpU7B48WKceuqpalUjGyO8fs+tVE1oC+muH6S9PpDu+kC66wdprw+kuz6Q7vpB2utDpOhuiNfvd+3ahcsuuwz//Oc/UVxcjAULFuDNN99Us8qQo7y8XG8TIhLSXT9Ie30g3fWBdNcP0l4fSHd9IN31g7TXB9LdE1Uf6ouLi3H77bfjqaeewq233or169dj/vz5alZJEARBEARBEARBEBGDqq/f33jjjfjiiy8AgF/5fvr06ejXr59aVQYEvX7vndraWqxevRqZmZmYNm0akpOTdbFh1apVMJlMmD17NrKyshQrOxDdjaAFALS3t2Pz5s2YOHGiLjYoVX8wPq+3Bu42jBo1Cvv27dPclvb2dnz33XcwmUzIysrCF198gQsuuAAFBQU+rzNqrJGDsA/06gt3W7zVrbbu7lps374dJpMJU6ZM0W186Al3z7Db7YiJicGsWbOQm5urSd1GiE0cFRUVWLVqFYYOHYqzzz5bc3vsdjuqq6uxatUq5OTkID09XRefVHMOIRX3eK22BkaN8e4ajB07VtdYrVZfSNGem0vGx8fj6NGjSE5Oxty5czX1y9raWqxduxbnnnuuLuOBg+uLzs5O1NXVwWKxyBqjcn1ey3GpBIZ4/X7ixIn4/PPPUVFRgX//+9+49NJLPR7oe3p61Kw+JDDqqyONjY04evQofvrpJ7S3t+tmQ11dHWpra9HY2Kho2YHobgQtgN4gtH79et1sUKr+YHxebw3cbWhsbNTFlvb2dmzcuBEbNmzA4cOH0draiqNHj/q9zqixRg7CPtCrL9xt8Va32rq7a8H5hZ7jQ0+4e0ZzczNqa2uxY8cOzeo2QmziOHr0KNrb27Fz505d7CkvL+dt2Ldvn24+qeYcQiru8VptDYwa49010DtWq9UXUrTn5pIVFRXo6upCQ0OD5n7Z2NiI6upq3cYDB9cXO3bsQENDg+wxKtfntRyXWqLqQ/1vf/tbDBs2zOvnp5xyiprVEwRBEARBEARBEERYo+pDvT9UfPM/ZCgsLNTbBFGM0DfuNihtTyC6G0GLcMKoPh8oRvALzgYptoSL7u4E0n690Ep3I2ugFUIN9Hy9VE/09oXCwkLdbQDUnUMYkVCI8eHaD1K0F2u71noY+Z4px6ZQ8Hkt0fWh3mQy6Vm9ITDi61L19fVYvXo1//dHH30Eq9WquQ0ff/wx//fq1atRX1+vWPlSdTeCFgBgtVrx6aefAgA+/fRTzW1Qsn65Pq+3BkIb1qxZo7ktVqvVwx9/+uknAMD69etx8OBBn9caMdbIQawP9OgLoS3e6lZTd/f63f1i9erVuowPPRHeM4Bev1DyvuENI8QmjoMHD+Krr77i//7ggw80t+fbb7/1sAHQ3ifVnkNIQRiv1dbAiDFeTANAn1itZl/40144l+T4+OOPNfPL+vp6j3um1uOBQ9gXHHLGqByf13pcaomqC+X5Y/z48diyZYte1Rtiobw9e/aguLhYl7rFWLt2LTZu3Aig90sXzj2ioqIwd+5cjB49WlMbhEyePBnnnntu0HVI0d0IWgDA7t27sXr1aphMJgwbNgwHDx4EYwznn3++JjYoXb8cn9dbA3cbnE4n/89isfD/1LZl9+7dWLVqFWw2m9dzRowYgSuvvFL0M6PFGjmI9QGHln3hbos/n1RLd3ctHA4HXC4XAMBsNsPlciEmJgZz5szRbHzoia97BqDcfUMMI8QmjjfffBMHDhzoc9xsNuPiiy/WxB5vNgDQzCe1mEP4wz1eWywWAIDT6VRVA6PFeHcNuLgE9PpjVFSUprFa7b7wpb2/+ASo75fuNqSkpKCtrU2TeoVImccEYlOgPq/HuFQCqc+rURra1Acjvv6hNfn5+Xqb4EFtbS1iYmIwePBgXHTRRejo6MBrr70GxhgaGho0cfja2lqYzWbEx8fjmmuuAQC8+uqr6OnpQW1trSJ1SNHdCFoAQENDA4YOHYrzzjsPSUlJsFqtWLNmjWY2KF2/HJ/XWwN3G9LS0tDS0oJp06bhq6++4v9W25aGhgakpKQgPT0ddXV16OzsRGZmJnp6epCTk4Pdu3ejoaHB6/VGizVyEPZBQkIC9u/fj8LCQnR0dGjWF+62+PNJtXR31+LAgQNISUmBxWJB//790dTUhBMnTmg6PvSEu2cAQHx8PM477zysXr0anZ2dsFgsit03xDBCbHK3xWQyIS8vD5deeikaGxvxxhtvwGQyaXq/MJlMSElJwcCBAzFu3Di8//77AHofJrSwQ4s5hD/c4/WcOXMAAKtWrVJ1XBotxrtrwMUlh8OB9vZ2jBgx4v/bO/fopqq0/3+TtOVS2lLKpRRayp1CS7kqP8bRqoDlIhXUUS4CXkZRccbLOzPLYRhHZ4346uvojKOjeFcYRUEspEMdGaEySAVaEGihUij0QkhC6SWhpTTJ/v3Rdc6cpEmaptlnn7bPZ62sNjsn+3n2dz/72XvnnJyomqt594U/7aW1pPRBdM+ePaHT6eByudDU1ASdTsc9Lk0mE6KiorB8+XIMGjQIZrMZGzduVG08SEh9YbfbcfXqVfTs2RP9+/dHfX097HY7GGPt8qm9MS9iXKoJlzP169evx9NPP41vvvkGN910k8/jHn74Yfz9738PtfmA0cKZ+uPHjyM1NVWIbW84nU7odDp5gdRWOS8fAMiforVVHgyB6K4FLQDA5XJ5teWrXOv2g4l50RoobXna9FXOwz7QcpbD4XAgLCzMb7knWss1weCpdVt/1fClrXJeuivbCkC26au8K+N5xYbE0aNH5UVaKOYNb2ghN0k4HA7o9fpWdn2V8/LhxIkTmDBhgps9yQeAf0yqsYZoC1/jj+e41FqO97x6SJmjvJWr4Ucg5cHgT3tpzehyuaDT6dzOEHsr54F0ZWGg5byQNJe2npJtX+Vt0d6YFzEuQ4HQn7T7/PPPAQD/8z//4/e4QDf077//PnQ6Hb788stWr509exYGgwGTJk2SH6dPn263z6LwtQAXhcFg8BrUvsp5+eBtQPsqD4ZAdNeCFoDvJKOWD6G2H0zMi9ZAacvTploLVeWiXKmhr3JPtJZrgsFT67b+quFLW+W8dFe2VWnTV3lXRvnVCyUREREhnTe8oYXcJBEWFubVrq9yXj6Eh4d7HQdqxaQaa4i28NVWnhpoLccr2+qZo9TO1bz7wp/20ppR+spBW+U88FW/mht64L+ae45FX+Vt0d6YFzEu1YRLBujduzfmzp2LsrIyLF68uNXrX3zxRcB1nT17Fm+//TZmzJjh85ioqCgcOXIkGFeFk5SUJNqFbgnpLg7SXgykuxhId3GQ9mIg3cVAuouDtBcD6e4Ol48lduzYgVWrViE6OhpZWVmtHoHicrnwwAMP4LXXXkOPHj067FdTUxPq6+vdHqI5c+aMaBe6JaS7OEh7MZDuYiDdxUHai4F0FwPpLg7SXgykuztcztTHxsbirrvuQv/+/XHzzTcHXc+f//xn/OQnP8HUqVP9Hnf58mVMnz4dTqcTt912G9auXev18o3169fj2WefDdofHoTiwwqi/ZDu4iDtxUC6i4F0FwdpLwbSXQykuzhIezGQ7u5w/QLBDTfcgJdeeglz5szBnDlz8PLLL8PhcAT03uPHj2Pr1q343e9+5/e4wYMHo6qqCgcPHsSuXbuwd+9evPzyy16Pffrpp1FXVyc/Kioq2t2mUBMfHy/ahW4J6S4O0l4MpLsYSHdxkPZiIN3FQLqLg7QXA+nuDtdN/VNPPYU9e/bgkUcewaOPPoo9e/bgySefDOi9e/fuxdmzZzF69GgkJycjPz8fDz74YKub6/Xo0QMDBw4EAPTr1w/33Xcf9u7d67XOHj16IDo62u0hmnPnzol2oVtCuouDtBcD6S4G0l0cpL0YSHcxkO7iIO3FQLq7w/VWmbt378aRI0fkOwrOnz8fU6ZMCei9Dz/8MB5++GH5eUZGBh5//HHcdtttbsdZLBbExsYiPDwcTU1N+OKLLzB58uSQtYE3vXr1Eu0CAMBms+HQoUNITEzE3r17kZmZicGDBwvxYdq0aYiKiuJqy5/uavrhiclkQm5urhD91aI9MS+yL7RgP5R+BJtrbDYbdu/eDZPJhISEBGRkZAjtC9E5at++fdDpdJg5c2ZAOmglx4eSYHQINaWlpdixYwduvfVWjBo1yusxPLVXajBy5EhhMQmInzdKS0uRnZ2N5ORkzJw5Ez/++COGDRumWlxIOcpisWD+/PnC505R46NXr16aGJuA2D5RajBx4kScPHmS+xzuLddIfjQ0NODSpUtCdDh06BDGjRunigYiCCTHi4gHUXA9U88Yk3/7T3ou/QZhR/j973+PN998EwDwn//8B5MnT0Z6ejqmTJmC+Ph4rF27tsM21KJ///6iXQDQEvR5eXmoqqrCuXPnYLVahflgs9m42/Knu5p+eGK1WoXprxbtiXmRfaEF+6H0I9hcY7PZUFhYCJPJhIKCAuF9ITpH5efnY//+/QHroJUcH0qC0SHUVFVVoa6uDlVVVT6P4am9UgORMQmInzeqqqpgs9lw7NgxWK1WHD16VNW4kHJUZWWlJuZOUeOjf//+mhibgNg+UWpgtVpVmcO95RrJj6NHjwrTIS8vTzUNRBBIjhcRD6LgeqY+MzMTc+bMwapVqwAAH330EebOnRtUXXv27JH/f+655+T/Fy9e7PVn8zoLFRUViImJEe1Gt4N0FwdpLwbSXQykuzhIe6I7UVFRgX79+ol2o1tCuUYMpLs7XDf1//u//4sNGzZg+/btAIA77rgDDz74IE+TnY4+ffqIdsEN6UqKUFxRoWW0prtEd9Bfq9p3dbqK7p1tjHQV3bVGIHGglvaiY1Ir9kX6oBX7ItFqrhHZJ2rZDkR7LYzPrkZ7Y74rawFwvvxer9dj9erV2LJlC7Zs2YLVq1fL368HgN/85jc8zXcKtHCzPrvdjp07dwIA8vLyAAA5OTkwm81CfNi5cyfsdjtXe750V9sPJWazGTk5OQDU119NAo15kX2hBfuh9iOYXGO325Gdne1Wtn37dqF9ITJHGY1G+bnRaAxIBy3k+FASrA6hpKysTI6DvLw8lJWVeT2Ol/aeGoiKSUD8vFFWVuZ2JeWOHTsAqJczPXOU0WgUOneKHB9hYWHCxyYgtk+86Q/wj0fPXOPph+SLmjpIc6aUH0SuY3jRVo4XFQ+i0DGBH1tMmTIFhYWFosyjvr4eMTExqKurE7bwOn78OFJTU4XYBoCioiIYjUY0NzfLPzeo0+nkT7NmzJiBzMxMVXzQ6XQYPnw4ysrKwBjDggULMGHCBC42vekuwg+J3Nxc5OfnA2hJUvX19QDU0V9tAol5kX2hBfs8/GhvrikqKsK2bdu8/gxpWFgYFi1apGpfiM5R2dnZuHr1KgwGAwDA6XQiIiICWVlZfnUQneNDSUd0CBWbNm3CqVOnALTEoRQTo0ePxrJly9yO5aG9UgNlHCpRK2+LnjeUfeFJREQEDAYD15zpmaPUzgve/BE1PpRaiBqbnn4A6vaJUn+9Xi/f00uv1yMsLIxrPCpzjdIPb6ihg9FohNPplB8Gg0F+qL2O4Ym/HC8yHkJNoPtVrpfft0VXvwwiEESfxbFYLEhOTobNZkNdXR0WL16MAwcOIDIyEiUlJTCZTKr5MH/+fPTp0wd2ux05OTmwWCzcBps33UX4IWEymRAVFYXly5dj0KBBMJvN2Lhxoyr6q00gMS+yL7Rgn4cf7c01FosF4eHh0Ol0SExMxC233ILc3FxUVlYiPDxc9b4QnaOio6MRGxuLrKwsAEB2djZqamra1EF0jg8lHdEhlD6EhYVh2bJl8gddmzZtgsViaXUsD+2VGjQ2NqK2thb9+vVDQ0MDkpOTVYtJQPy8YbFYoNPpkJSUhISEBJw/fx4VFRXQ6XSYOnUqamtrucaFlKN69uyJe+65B5GRkdi6dSuqqqqEzJ0ix4fFYkFkZCQGDhwobGxKfojqE6X+/fv3x8WLF+FwOGCz2TB69Giu8ajMNZIfdrsdYWFhuP322/Hdd9/BarWioaFBFR2Sk5PRt29f1NbWIiMjA3v27JGfq72O4Ym/HC8yHkRBZ+oFn6m/ePGi0Lsju1wu6PV6+ZO8tsp5+hBoeSjwprsIPyR86ayG/moTSMyL7Ast2OfhR3tzjcvlAmMMOp3OzZavcl5oJUcBaNVeX+VKROf4UNIRHUKFw+FAWFjr8xHeynlor2yrMvZ8lfNE9LzhcDig1+vls2BS/5vNZgwYMKBVeaiRcpFnW32V80bk+HC5XKiursaAAQNUt+1pT1SfKNuqjDtf5aFEmWske57t9VUeaqQ2erbVV3lnxl+OFxkPoSbQ/ar2W9LFuXDhglD7UjB7Jhhf5Tx9CLQ8FHjTXYQfEr507mobeiCwmBfZF1qwz8OP9uYavV4Pg8HQypavcl5oJUd5a6+vciWic3wo6YgOocLbht5XOQ/tlW1Vxp6vcp6InjfCwsLkNiv732q1ei0PNVIuCrScNyLHh16v9/p9bTXHpmRPVJ8o26pss6/yUKLMNZI9b3OWWjoo/7ZV3pnxl+NFxoMohLaGLr8HYmNjRbvQLSHdxUHai4F0FwPpLg7SXgykuxhId3GQ9mIg3d3huql/66230NDQ4PP1f/3rXzzNdwrCw8NFu9AtId3FQdqLgXQXA+kuDtJeDKS7GEh3cZD2YiDd3eG6qf/2228xYsQIPPHEEygtLW31uud3f7oj3m7uQ/CHdBcHaS8G0l0MpLs4SHsxkO5iIN3FQdqLgXR3h+umftOmTfjhhx8QFxeHm2++GXPnzsU///lPniY7HXFxcaJd6JaQ7uIg7cVAuouBdBcHaS8G0l0MpLs4SHsxkO7ucP9O/aBBg/C73/0OH374IYqKirB8+XKMGzcO//73v3mbJgiCIAiCIAiCIIguDddN/ZUrV/DOO+9g8uTJWLt2LV566SVYrVZs3LgR999/P0/TnYbq6mrRLnRLSHdxkPZiIN3FQLqLg7QXA+kuBtJdHKS9GEh3d7z/NkyISE5OxuzZs7FhwwZMnz5dLp82bRpmz57N03SnYeDAgarbNJlMyM7Ohk6nw8KFCzF48GDVfbDZbNi3bx90Oh1GjhyJvXv3IjMzUzVfIiMjkZubi+bmZkRERGDmzJmIiopSxbYSpQ6ifDCZTMjNzVVNf28xbzKZ8MUXX8ButyMqKgqLFi1SPS610BdKXw4dOoRp06aFzI9Aco2kQV1dHcrLy5GYmIjY2FjV9eDRflF+dCTHa0UHrfjSXh9EzK88KS0txbZt2xAZGSkkRwItfbB7926YTCYkJCQgIyOjVV/w1t1kMsFoNCI+Pt6rfTXQynhQzlki4l30vCn1Q1xcHL7++msMGTJEyJw1cOBA1ddS3ghkfKrlhxrjo62Y18I4VROuZ+oPHz6Mjz/+2G1DL/H222+3+f45c+Zg4sSJmDRpEn7605/i8OHDXo979913MXr0aIwcORI///nP0dzc3GHf1UKEr1arFRcuXIDJZILValXdPtAy0PLz87F//35UVVXh3LlzqvpSX1+P/Px8FBQUYP/+/bDZbKrZVqLUQZQPVqtVVf29xbzVaoXVakVjYyMsFouQuNRCXyh9ycvLC6kfgeQaSYMTJ07g8uXLOHnypBA9eLRflB8dyfFa0UErvrTXh860FgiEqqoqXL58WViOBFr6oLCwECaTCQUFBV77grfuVqsVVVVVPu2rgVbGg3LOEhHvoudNqR/Ky8ths9mEzVnNzc2qr6W8Ecj4VMsPNcZHWzGvhXGqJlw39YMHD8b58+fxr3/9C9u3b5cfgfLZZ5/h6NGjOHLkCJ588kmsWrWq1TFlZWVYt24d9u7di9LSUpjNZmzYsCGEreBLTU2NaBe6JfX19aJd6LZQzIuBdBcD6S4O0l4MpLsYSHdxkPZiIN3d4bqpf++99zBz5kzccccdePbZZ7F48WK8+OKLAb+/b9++8v91dXXQ6XStjtmyZQsWLlyI+Ph46HQ6rF69Gp988onX+pqamlBfX+/2EE18fLzqNhljXv8XheSDmr7QHTP/i9r6e4t5T9taiMuuhohcQ5DuIulq2mtt7vYFb9213HaRdLV4bw+iYyI+Pl7IWra7051j3htcN/WvvPIKDh8+jJEjR6KgoADffPMNxowZ0646VqxYgcTERKxbtw4ff/xxq9fLy8sxbNgw+XlycjLKy8u91rV+/XrExMTIj8TExPY1iAMNDQ2q2jObzdixY4f83Gg0wmw2q+qD3W6H0WiUn+fl5QEAcnJyVPHFbrfjm2++cSszGo2w2+3cbXv6odRBhA9msxk5OTkA1NPfM+bNZnOrK3h27NihalxqoS+UvuzcuRMAsHPnzpD50Vau8dRAiZp68Gq/KD+CzfFa0UErvgTjg9rzK0/KysqwZ88e+bnaORJo6YPs7Gy3su3bt7fqC566m81mtzzlzT5vtDIePOcstW8aJnreVPZDQUGB22tq+1JVVaX6WsqTQMenGn6oNT785RotjFO10TGOHylNnToVBQUFSEtLw7FjxwAAU6ZMQWFhYbvr+vDDD7F58+ZWv3P/2GOPISEhAU8//TQAoLi4GJmZmV439k1NTWhqapKf19fXIzExEXV1dYiOjm63T6Hg+PHjSE1NVcVWbm4u8vPzvb42Y8YMZGZmcvehqKgI2dnZuHr1KnQ6nddPNHn6orTvSUREBLKysjBhwgQutn35YTAYAABOp1NVH5TxEB0dLV+5wjsWlDHvLybV8AXQRl8ofTEajdDpdBg+fDjKysrAGMOCBQs67Ie/XONvXEiooQfP9ovyI5gcrxUdtOJLsD6oOb/yZNOmTTh16pTX19Scu7dt2waHw9HqtbCwMCxatEjuC166K+cL5frB0z5PtDIevM1Zausgct6U+qGpqQkul8vrMWr5ImotpaQ945O3H2qOD1+5RgvjNJTU19cjJiamzf0q17vf9+jRA4wxjBkzBq+++iqGDRsW9CclK1euxOrVq1FdXe126XRSUhJOnz4tPz979iySkpJ8+tOjR4+g7PMiISFBNVsmkwl6vR69evXCihUrALR8WNLU1ASTyaSKDxaLBdHR0YiNjUVjYyNqa2vRr18/NDQ0IDk5GSUlJVx9kew3Nzdj4MCBmDVrFnbt2oXq6mro9XpYLBZVBrxSh6ysLABAdnY2ampqVPPBZDIhKioKy5cvx6BBg2A2m7Fx40busaCMeaWt3r17Y8GCBdixYwcaGxuh0+lUiUst9IXSl+TkZMyfPx99+vSB3W5HTk5OSPzwl2skDWpqauByudCnTx84nU7o9XrY7XYYDAZER0dz14Nn+0X5EUyO14oOWvElWB/UnF95YrFYALTkyJUrV6KhoQEff/wxGGOqzt3h4eHQ6XRITEzELbfcgtzcXFRWViI8PNytL3jpbjKZEBERgaFDh2Lx4sW4fPkyPvroIzDGVJ27tTAevM1ZFy9e7DZrGKkfKisrYbfb0adPHzDGkJSUhJKSEgBQZc4CWuIyMjISK1asUHUtpaQ945O3H2qOD1+5RgvjVARcz9R/8803mDp1Ki5evIjVq1ejtrYW69evx6xZs9p8b21tLRoaGuQO+/LLL7FmzRpUVFS4fbf+zJkzuO6661BYWIhBgwYhKysLc+bMwZo1a9q0EegnHzw5e/YskpOTVbHldDoBQP5Uta1yHkifqOr1ejidTtmmr3Je9s+dO4fhw4e3Kpd84I2yvYGU88CXzjz1B9xj3ul0gjEGnU7nZtNXOQ+00BdKm97s+SpvD/5yjdRWpR29Xu+znBc82y/Kj2ByvFZ00Iovwfqg5vzKE4fD4TUX+irngcvlknOyUnNv5bx0dzqdrez7K+eBVsYD0DoXl5WVYdiwYd1iDSPp7XA4Ws1Z3sp54nQ6UVFR0Srmea+llLRnfPL2Q83x4SvXaGGchhJNnKm/6aabAAAxMTH4+uuv2/Xeuro63HnnnWhsbIRer8eAAQPkSykeeOABLFy4EAsXLsSIESPw7LPP4ic/+QkAICMjAw899FDI28ILNb/j4Su5qJV0APfkqrTrq5yX/cuXL/v0Sw182VPTD1HxoIx5rcVkIOU84emLv1zja/Gj1qLI016g5Z3Bj2ByvFZ08GdTTV+C9aGrfIcyLMz7Us1XOQ/a0we8dKf5wr+ty5cvd5tcLdnxHAO+ynliMBi8xnx3i0sRfvjKNVrRQ224nKl/7rnn/L7++9//PtQmg0ILZ+rr6uoQExMjxHZ3hnQXB2kvBtJdDKS7OEh7MZDuYiDdxUHai6G76B7ofpXLRxY2mw02mw0nTpzA3/72N5SXl6OiogKvv/46Tp48ycNkp+XixYuiXeiWkO7iIO3FQLqLgXQXB2kvBtJdDKS7OEh7MZDu7nC5PuWll14CAMyZMwdHjhyRvxf/3HPPYdWqVTxMdloaGxtFu9AtId3FQdqLgXQXA+kuDtJeDKS7GEh3cZD2YiDd3eH65YLz58+73Zlw8ODBqKqq4mmy0zFs2DDRLnRLSHdxkPZiIN3FQLqLg7QXA+kuBtJdHKS9GEh3d7hu6ocOHYpnnnkGFRUVqKiowB/+8AcMHTqUp8lOx4ULF0S70C0h3cVB2ouBdBcD6S4O0l4MpLsYSHdxkPZiIN3d4bqp/+CDD3DixAlMmjQJkydPxsmTJ/HBBx/wNNnpaGpqEu1Ct4R0FwdpLwbSXQykuzhIezGQ7mIg3cVB2ouBdHeH6+/Ut8Xnn3+OO++8U5R5Tdz9vqGhAb179+ZWv81mw6FDhzBt2jQAkP+PioriZlOr2Gw27Nu3D83NzdDpdLjhhhtU1UGyr9PpMHHiRJw8eVL1vigtLUV2djaSk5MxZ84cIXFgsVhQWFgoVAfAfWyI0EEZDzNnzuTug69cYzKZYDQaER0dDZvNhvnz52Pw4MFcffFEC3HJKx4CzfHK/BQREaFKTHiihVgAWuJhx44duPXWWzFq1Kig6+no/GoymZCdnQ2dToeFCxeqroXoHBUsoVzXaEkDk8mE3NxcZGZmChkXkhbjxo3zOm/yXE9KuSE+Ph7Tpk3DwYMHYbFYVM8RbWmgpg+JiYnYu3cvMjMzERMTw3Ut74lnf4jSQsqR0ryldp4sKyvDjh07UF9fj1GjRmH+/PnC8wQPhN79PlDWr18v0rwmKC8v51q/zWZDXl6e/IsE0v/dEZvNhvz8fBQUFODQoUOq6yDZ379/P6xWq5C+qKqqgs1mw7Fjx4TFQWlpqXAdAAgfD8p4UMMHX7nGarWiqqoKJ06cQGVlJaxWK3dfPNFCXPKKh0BzvDI/qRUTnmghFoCWeKirq+vwPXg6Or9arVZcuHABJpNJiBaic1SwhHJdoyUNrFYrzp07J2xcSFr4mjd5riel3FBQUACr1YrCwkIhOaItDdT0oaqqSo4H3mt5Tzz7Q5QWUo6srq4WkidLSkpw6dIlOBwOnDx5UhN5QiRCN/UCLxLQDA6HQ7QLBKEqTqdTtAvdEso1YiDdxUHai4F0FwPpLg7SXgy0nnRH6KZep9OJNK8JOnJpIdF5EfWBlhY+SEtMTJT/14I/3QVfucazD0T0SVeOg86U47UQC0q7HbXfUe2V9rtyjIaazhTz7SFUcRkqPzzhqbuvsSA6R4hEGQ9qx7wW+sCbbbV9GTRokKr2tI7QTT0BnDlzhlvddrsdO3fuBAAYjUYYjUYAwM6dO2G327nZ1SJ2u11uv4TRaFRNB0/7IvqirKwMe/bskZ9v27ZN9Tiw2+3Izs6Wn4uKSeXYEDEevMUDbx+85Rqz2ex1XJjNZq6+KNFKXPKKh0ByvOj8BGgjFoCWeMjLywMA5OXloaysLOi6OjK/ms1m7NixQ36uthaic1RHCNW6RksamM1m5OTkAABycnJUHxdKLSQ/PDXhtZ70zA3bt2+X/1dzXASigZo+SHkqJycHhw8fVs0Hz/4QtY7yzJGSL2rFg7c5a+vWrZ0qV4YaoTfKmzx5sqoDwRMt3Cjv+PHjSE1NDXm9RUVFMBqN0Ol06NevHyorKwG0/MzgpUuXwBjDggULMGHChJDb1hpFRUXIzs7G1atXW70WERGBrKwsrjoo7ev1erhcLgCAXq9HWFgYDAYD977YtGkTTp061apcr9fj9ttvVyUOtKCD5Ic0NoYPH46ysjJVx4NSB4PBAKDlEjLeseiZa3Jzc5Gfn+/z+BkzZiAzM5OLLxJaiUue8dBWjhednwBtxALgHg9hYWHyJa2jR4/GsmXL2l1fsPOrPz3U0EJ0juoooVjXaEkDZTxER0ejvr4egHrjQtLC6XTKD4PBID8kTXisJ9vKDRK8tQhUA55IPjQ3N8u5SafTyWen1YgHX/2h0+kQHh6umhai5wx/9nU6He64445OkSsDJdD9ahgvB5xOJ1atWoWPP/7Y5zHPP/88L/OdhrFjx3Kp12KxIDk5GfPnz8fBgwfRq1cvAEBCQgLuvvtu5OTkwGKxdKmg94XFYkF0dDRcLhfi4uIwa9YsfP3117h06RL0ej13HST7sbGx6N+/Py5evAiHwwGbzYbRo0ejtrZWFR90Oh2SkpJw5513wmq1YuPGjdDpdKrFgaRD3759MWDAACE6SH5IY6NPnz6w2+2qjgdlPGRlZQEAsrOzUVNTw9UHz1xjMpkQEREhLwbmzZuHnJwcOJ1OuFwumEwmLn4o0Upc8oyHtnK8t/y0a9cuVFdXq5KfAG3EAtCiRVhYGJYtWyZv5DZt2gSLxRJUfcHOryaTCXq9Hr169cKKFSsAAB9++CGamppUGxcic1RHCcW6RksamEwmREVFYfny5Rg0aBDMZjM2btyo6rhITk5G3759UVtbi4yMDOzZs0d+LmnCYz0p5YahQ4di0KBBKCwsRFNTE3r27InJkyfjwoULqKqq4q5FoBqo4YPNZkNdXR0WL16MAwcOIDIyEiUlJarEg2d/mM1m+bfa09PTVdNCypEA0KtXL8yfPx9GoxGNjY3Q6/XctVDWP3ToUNx8883YvHkzrly5our6QWtwPVN/7bXX4vvvv+dVfYfpymfqXS6XPOAC+b8rI50RBiC39/jx4xg/fnyrcp72pbPTSv29lfPA4XBAr9e3suGrnAdSe4uLizF+/HghOkj2vNlQazwo2xtIeajwzDVOp1M+yyBdMeCvnAdaiUue8dBWjveWn/yV80ALsQC09HtYWOtzDb7K2yLY+VW6+ZJnm32VhxrROaqjhGJdoyUNpLPCgZaHGqnNnm33LOexnpRygGRHygW+ynkRqAY8kWx49rvL5UJxcTFSUlK4x4On7lKbfZXz9EPCc87wVs7DvsvlwsmTJ5GWltaq3GAwdIpcGSjCz9QDwI033ogHH3wQq1atQp8+feTyiRMn8jRLwH0RGMj/XRlf7VSr/VroC18L4mAWysGiBR382RARDyLsS/iacNVYpEpoLS4DKe9q9gFtxAKgjXgAxOuhhZgQjZY00Eo8eLbdV3koUbZRacdXOS9EauBpy7PffZXzQCv9IXpMSF+78LzhulTeXeF6pn748OGtDep0Ad3M4xe/+AW2b9+Oc+fO4fDhw5g0aVKrY/bs2YO5c+e6XXK0f/9++VLzttDCmfrm5maEh4cLsd2dId3FQdqLgXQXA+kuDtJeDKS7GEh3cZD2Yuguuge6X+X6cU5ZWVmrR6B357zjjjvwn//8B8OGDfN73NixY3HkyBH5EeiGXiuUlJSIdqFbQrqLg7QXA+kuBtJdHKS9GEh3MZDu4iDtxUC6u6PKNW1NTU1oamqSnwdyVvz666/n7od0B1OCIAiCIAiCIAiC6IxwPVOfn5+PlJQU9O7dG7GxsfIjlJw+fRpTpkzB9OnT8cYbb/g9dv369YiJiZEfiYmJIfUlGHjd/Z7wD+kuDtJeDKS7GEh3cZD2YiDdxUC6i4O0FwPp7g7XTf0vf/lLfPDBB5g4cSJqa2vx3HPP4cUXXwxZ/VOmTEFlZSUKCwuxbds2vPnmm/jss898Hv/000+jrq5OflRUVITMl2ChS0fEQLqLg7QXA+kuBtJdHKS9GEh3MZDu4iDtxUC6u8N1U9/c3Ixrr70WDocDUVFRWLt2LT799NOQ1R8dHY2YmBgALb9TuGTJEuzdu9fn8T169EB0dLTbQzTd6W62WoJ0FwdpLwbSXQykuzhIezGQ7mIg3cVB2ouBdHeHqxrSHQnj4uJQWFgIq9UKq9UasvpNJpP8W742mw1GoxGTJ08OWf1qMGLEiJDVZbPZsHv3bthstpDV2Vl9sdls2L59O9555x2YTKZWr4dSd1/2pfaL0sJmsyE3NxdfffWV0JjwbD9v7T0pLS3FK6+8gtLSUlXtKlHGY2lpqZB4iIyMxPvvv+91PKiJ6Nygti9qx3t7kNpvMpk00yehJFDtRcekVnN1sHQk5pVaiI5LkXP37t27kZeXh2effRZ/+ctfAsrboc41oscFABw9ehTr16/H0aNHhdg3mUzyvOlPD955XvJD1PoB0EY8AP9d0x09ehRVVVXC/dESXDf1d999N6qrq/Hb3/4WN9xwAxITE7FmzZqA3vvQQw9h6NChqKysxC233IJRo0YBAB544AFs374dALB161akpaUhPT0dM2bMwOzZs3Hvvfdyaw8PQrnRsNlsyMvL00SAi/bFZrOhsLAQlZWVXj9I4r3BU7ZflBY2mw35+fnYv3+/8IWisv1qb66rqqpQV1eHqqoqVe0qUcZjVVWVkHg4fvw4zp07F9IPVoNBdG5Q2xeRHya1hdR+q9WqmT4JJYFqLzomtZqrg6UjMa/UQnRcipy78/LyUFZWBsYYampqAsrboc41oscFAJSXl6OpqQnl5eVC7FutVnne9KcH7zwv+SFq/QBoIx6A/67pysvLsW/fPuH+aAmud79/4oknAABz5szBpUuXcOXKFURFRQX03rfeestr+TvvvCP/v2bNmoA/JNAqYWGq/AAB4QHpLg7SXgwGg0G0C90SindxkPZiIN3FQLqLg7QntACXKPz222/9vs7j5+o6K0lJSaJd6PIwxlqVke7iUFt7qf+9xYEIRPkRFxcn1H53pTPkmq4aE51B+65IqHTvqnEZDIFo0RXjXfT8Hah93tqL1kFLkBa+4XL5/VNPPYWnnnoKjz/+ODIyMnDffffh/vvvR0ZGBh5//HEeJjstZ86cCUk9drsdO3fuBADs3LkTdrs9JPV2Rl/sdjuys7Pl50ajEWaz2e2YUOnuy77UfqPRCKPRCEBdLex2u2xX8kNETHiLBZ7ae1JWVoa8vDwAkC9nVBvPeJT8UTMezGYzvvrqKwBATk5Oq/GgFqJzgwhf1Iz39qBsf05ODgDxfRJqAtFedExqOVcHS7Ax702LUPgTrC8i4kJp9+zZs3L59u3b28zbocw1oscFABQXF6OgoAAAUFBQgOLiYlXtm81mOTcajUb5q7/e9OCZ55V+iFg/ANqIB8B9TSfFRlebtzqCjnH8qOO+++7DkiVLMHv2bADArl278Omnn7pdQi+S+vp6xMTEoK6uTtid8E+dOoXRo0d3qI6ioiIYjUbodDoMHz5c/h7WggULMGHChBB52jl8KSoqwrZt2+BwOAAAOp1O/jRvxowZyMzMBBAa3X3Zl9rfr18/VFZWAmj5dYZLly6pokVRURGys7Nx9epV+ZJrp9OJiIgIZGVlqRYTvmJh6tSpmDVrFnf7mzZtwqlTpwC0XBonxcTo0aOxbNky7vaB1vGoJCwsDOHh4dzjITc3F/n5+QBafjGkvr4egPt4UAPRuUGUL7xyTUeQ2u90OuWHwWCQHyL6hAdtaS86JrWeq4PVIZiYV2qh1+vlmyDr9XqEhYWpGpei4kKy29jY6PMYf3k7VLlG9LgAgDfffBMXLlwA4L6Oi4+Px+rVq7nbV86bvXr1kvukX79+uHLlSis9eOV5pR9KHdRaPwDaiAfAfU2nxGAwICIiosvMW94IdL/K9Usghw4dwnvvvSc/nzVrFp566imeJjsd8fHxHa7DYrEgOTkZ8+fPR58+fWC325GTkwOLxaJ6gIv2xWKxIDw8HD179sQ999yDyMhIbN26FVVVVW53jw2F7r7sS+0/ePAgevXqBQBISEjA3XffrYoWFosF0dHRiI2NRVZWFgAgOzsbNTU1qsaEr1hwOp2q2Q8LC8OyZcvkiWjTpk2wWCyq2Jd8kOJx7NixqK+vR1NTEy5cuICBAwciKiqKe5+YTCZERUVh8eLFGD58OMxmMzZu3Kj6XfBF5wZRvvDKNR1Ban/fvn1RW1uLjIwM7NmzR34uok940Jb2omNS67k6WB+CiXmlFv3798fFixfhcDhgs9kwevRoVeNSVFxIdktKSuByudCjRw8kJCQgPDwcP/74IwD4zduhyjWixwUA1NTUQKfT4c4778T48eNRXFyMzz//HDU1NarYl+bN5cuXo7i4GBUVFTCbzYiKisJ9993XSg9eeV7yY8yYMWhoaMA111yDL774AjExMaqsHwBtxIPkR1hYGCZMmICrV68iLS0NW7duRe/evTF06NAuM291BK5n6idPnow///nPuPHGGwG0XDby+OOP4/Dhw7xMtgstnKk/fvw4UlNTO1SHy+Xy+luNvsp5ItoXl8sFxlirm4J5lodCd1/2pXYG8j8PlGc4Ainn6Yc3W8eOHUNaWhp3+w6Hw+vNa3yV80AZd54x4K2cB9JZWM+Yl8rVQnRuEOULr1zTEaR2erbXV3lnpS3tRcek1nN1sDoEE/PKNnvmSm/lPBEVF1L90pUbUn72Ve5JqHKN6HEBAM3NzfLPYgdSHmqU86Oy3b7KeeV5yZ6n9r7KeaCFeAD+u3bz1H3cuHGtyrsamjhT//rrr+Puu++WB6DD4cDmzZt5mux0SGdyO4KvIBYR3KJ9CdR+KHRvy04g//P2IZBytf3o3bu3KvZ9bdzVvEutFuJBWoB4xrzad8PXSlz6s8nDF165piNI7fRsr6/yzkpb2ouOSdH2efkRTMxrIVe2ZUetuTsiIiKgck9ClWu0EJe+Nu5qbOgB9/lR2W5f5bzyvGTPU3tf5TzQQjwA/127eerurby7wnV1O3PmTJw+fRonT54EAIwbN061AdlZ6N+/v2gXuiWkuzhIezGQ7mIg3cVB2ouBdBcD6S4O0l4MpLs73D/WMBgMiIuLQ0xMDEwmE8rLy3mb7FRUVFSIdqFbQrqLg7QXA+kuBtJdHKS9GEh3MZDu4iDtxUC6u8P1TP0HH3yAX/ziFwgPD5cvi9DpdKreqErr9OnTR7QL3RLSXRykvRhIdzGQ7uIg7cVAuouBdBcHaS8G0t0drpv6P/7xjzh48CDGjh3L00ynRtQN+ro7pLs4SHsxkO5iIN3FQdqLgXQXA+kuDtJeDKS7O1wvv+/fvz9t6Nvg/Pnzol3olpDu4iDtxUC6i4F0FwdpLwbSXQykuzhIezGQ7u5w3dTfdtttePXVV2GxWFBfXy8/iP9CnzKJgXQXB2kvBtJdDKS7OEh7MZDuYiDdxUHai4F0d4fr5fdr164FADz55JPQ6XRgjEGn08HpdPI026kI9ue9bDYbdu/ejcrKSgBAYmIiMjIyEBUVFUr3/No/dOgQxo0bh7y8PJw5cwYLFizAxIkTVbHvy5eTJ09i2rRpberA42fVTCYTjEYj4uPjVe0LCUmHQNrPy/a4cePwww8/QKfTYebMmV794PmTdjabDfv27ZPtAxCmiclkQm5uLjIzMzF48GBVbUs6NDc3IyIiAjNnzlTtpwR9+eIvJrqyfVG6e0NkjlDaT0xMxN69e7mPDU/tlXnq4MGDMJlMSEhIEDZ3tpUrecMrR7Un5rvzvOnNj/asYzzpSK7Rig5STE6dOhUFBQWqz5/B6hCqPC9y3aBE2mNYLBbMnz9fiC/KdQwAeS2j7Bctza9agOuZepfLJT+cTqf8N1BOnTqFmTNnYsyYMZg+fTqKioq8Hvfuu+9i9OjRGDlyJH7+85/LAdAZuHDhQlDvs9lsKCwshMVigcViQUFBAWw2W4i9828/Ly8PVqsVJ0+exNWrV4X9soHSl7y8vIB0CFZ3f1itVlRVVaneFxKSDiJtW61W5OfnY//+/T794KG90g+lfZGaWK1WnDt3DlarVXXbkg4FBQWyFjx1D8QXfzHRle2L0t0bIseD0n5VVZUqY8NTe2WeKiwshMlkEjp3ioxLgF+Oak/Md+d505sf7VnHeNKRXKMVHaSYLC8vFzJ/BqtDqPK8yHWDEmmPUVlZKcwX5TpGuZZRoqX5VQtw/0m7goICfPzxxwCA2tpamEymgN/70EMP4cEHH8SPP/6I3/zmN1i1alWrY8rKyrBu3Trs3bsXpaWlMJvN2LBhQ6jc505sbKxoF7olpLs4SHsxkO5iIN3FQdqLgXQXA+kuDtJeDKS7O1w39W+88Qbuu+8+/OEPfwAAVFdXY+nSpQG912Kx4NChQ1i+fDkA4Pbbb0dFRQVKS0vdjtuyZQsWLlyI+Ph46HQ6rF69Gp988onXOpuamty+26+F7/eHh4eLdqFDMMa8/i+C9tjnobvo9muBQDTo7DEfKJIWWomL7qK71iDdW6PW2PClvRbGpJZ8CLUv7Yl5LeigJTqiR1fINZ4x2VniI1Taa7HdWvLFk64Q86GE66Z+w4YNyM/Pl29kMHLkyIAv46ioqMDgwYMRFtbytX+dToekpKRWl3iXl5dj2LBh8vPk5GSfl4GvX78eMTEx8iMxMTGYZoUUi8XS7vfY7XZkZ2e3Kt++fTvsdnso3GrT/s6dOwHAzY+CggIUFxdzt+/Ll5ycHADAzp0729QhGN39YTabYTQa5edq9YWEUodA2s/LtlIDo9Ho1Y9Qa6/0Q2k/Oztbfq62JmazWY7HnJwcmM1m1Wx76gC09IWIr8d4+uIrJrqqfYBfvLcXkTnC035eXh4A/mNDqb3S/o4dO9yOEzF3io5Lnjkq0JjvzvOmLz/as47xJNhcoxUdlDFZUFAAQN35syM6hCLPi1w3KPHcYxiNRtV98baOkXxR9otW5letoGMcP4K59tpr8f3332Py5Mk4fPgwAGDSpEk4cuRIm+8tKCjA0qVLUVJSIpddc801eOGFF3DTTTfJZY899hgSEhLw9NNPAwCKi4uRmZnpdQHb1NSEpqYm+Xl9fT0SExNRV1cn7A6KJpOpXTegKCoqwrZt2+BwOLy+HhYWhkWLFmHChAmhcrGVfaPRCKfTiatXr3o9Jj4+HqtXr+Zi35cv0sNgMMiPBQsW+NShvbr7Izc3F/n5+QAg3xAS4N8XEpIOOp0Ow4cPR1lZGRhjftsfattOpxMOhwMulwsAoNfr4XK5EBERgaysLDc/Qqm90o/s7GxcvXoVBoMBjDHZl6FDh+LSpUuqaaKMh+joaPmKoBkzZiAzM5OrbaUOnoSHh+O2227j3n5vvhgMBgCA0+n0GhNd0b4Ej3hvLyJzhNJ+c3OzPHcpcyWvsSFpr8xTzc3NXs88qTl3BporecE7RwUS89153vTmRzDrGE+CyTVa0UEZD97gPX92VIeO5nmR6wYlnnsMNfK0Nx98rWMAuOVKLcyvalBfX4+YmJg296tc734/YMAA/Pjjj9DpdACADz74AElJSQG9NzExESaTCQ6HA2FhYWCMoby8vNX7k5KScPr0afn52bNnfdro0aMHevToEWRrtIHFYkF4eDhcLhcMBgMSEhLAGMP58+flhYHFYuGWjC0WC5KTk9G3b1/k5+eDMYYhQ4bIV1FUVVWhpqaGi21/vtTW1iIjIwN79uyRn/PUQYnJZEJERASGDh2KxYsX4/Lly/joo4/AGFPFB0mH+fPno0+fPrDb7cjJyVHVdt++fXHq1ClER0fDYDCgf//+uHjxImpqalTzIzo6GrGxscjKysK+fftw7NgxREREYOTIkbj77rtV08RkMiEqKgrLly/HoEGDYDabsXHjxnbdTyRYJB1cLhfi4uIwa9Ys7Nq1C9XV1XC5XKqNCaUvUp8ALVdPiIoJte1rCZE5QmnfZrOhrq4OixcvxoEDBxAZGYmSkhLuY0OZp44cOQKHw4Hw8HCMHz8e1dXVqKysRHh4uGpzp8hcCYjNUUofuuu86c0PUesYreggxaTkw9y5c7Fz5075uVo5QpQOWhiTwH/3GD179sQ999yDyMhIbN26FVVVVar5olzHAEDfvn3BGENdXR2Alg9Cu9scHihcz9SXlpZiyZIlKCoqQlxcHKKjo2E0GjF8+PCA3p+RkYFVq1Zh1apV2LJlC1544QUcOnTI7ZgzZ87guuuuQ2FhIQYNGoSsrCzMmTMHa9asabP+uro69O3bFxUVFcLO1BcXF2P8+PEBH+9yueRPzXQ6HfR6vd/yUONyueQzC06nU/4+i69ynihtKtvrq1xJe3X3h9Pp9Kq5r/JQ46ud/tofatvKs07+yoHQaq/0IxD7amginWkJtDyUSO0F0GpMnDhxAikpKdzb7+mLpz1f5V3NvgSPeG8vInOE0o7nGPBVHiok7ZX5QPppXeUc4VnOg2ByJS9456hAYr47z5ve7AWzjvEkmFyjFR2k2POMQV/loaajOnQ0z4tcNyiRcqGnTV/lvHxQosyVnuVamF/VQLqyvLa2FjExMT6P47qpB1o6oaSkBIwxjB07tl0BUVJSglWrVqG6uhrR0dF4//33kZaWhgceeAALFy7EwoULAQBvv/02XnjhBQAtHwS8+eabAW0qKysrNfG9eoIgCIIgCIIgCILwRkVFBYYOHerzdS6b+rbuKi/qrLgnLpcL58+fR1RUlPwVATWRPnkReaVAd4R0FwdpLwbSXQykuzhIezGQ7mIg3cVB2ouhO+nOGIPNZkNCQoLfK0e4fKe+b9++bjdXAP57swWdTgen08nDbLvR6/V+P/FQi+jo6C4fkFqEdBcHaS8G0l0MpLs4SHsxkO5iIN3FQdqLobvo7u+yewkum3rP7z0QBEEQBEEQBEEQBBF61LsLBkEQBEEQBEEQBEEQIYXrpv7UqVOYO3cuEhIS0K9fP/lBtNCjRw8888wznf5n9jobpLs4SHsxkO5iIN3FQdqLgXQXA+kuDtJeDKR7a7je/T4jIwMPP/wwnnvuOXz66ad47bXXkJycjN/+9re8TBIEQRAEQRAEQRBEt4Hrpn7KlCkoLCxEWloajh07BsYYrr32Whw4cICXSYIgCIIgCIIgCILoNnC9/F76rfioqCicPXsWTU1NuHjxIk+TBEEQBEEQBEEQBNFt4HL3e4nrr78e1dXVWLNmDaZOnYqIiAjcfffdPE0SBEEQBEEQBEEQRLeB+6beYDBg6dKl+OlPf4qysjLYbDaeJgmCIAiCIAiCIAii28D18vt169ahb9++AIDExET89Kc/xbp163iaDIorV67gtttuw5gxY5Ceno7Zs2ejtLQUAGCxWJCZmYnRo0cjNTUV3377rfy+559/HmPHjoVer8eXX37pVueBAwcwY8YMTJ48GSkpKXjxxRd92m9oaMCSJUswatQojBkzBlu2bJFfW7t2LdLS0jBp0iRMmjQJn376qc96/B3rz4YotKy7xIkTJ9C7d288/vjjPuvJycnB1KlT0aNHj1bHmc1mLF68GBMnTkRKSgpeffXVNnXhjZZ1X7VqFYYMGSLH8K9+9aug6jl16hRmz56N9PR0TJgwAZs3b26vTFzoKtr/9re/xbhx45Ceno5p06bhq6++kl+jmG9NW7nmjTfeQEpKCtLS0pCeno4rV654ree9995DWloawsLCWul66tQp3HjjjZg0aRLGjRuHp556Ci6Xqx0qhR4t675o0SI51idNmgS9Xo/t27d7rcflcuGxxx7DyJEjMWrUKPztb3+TX7Narbj11lvleF+5ciUaGxuDkSukdBXt//rXvyI1NRVpaWmYOHEiNm7cKL/W2NiIFStWIDU1FampqVi4cCGsVmswcoUMLevenhzhb13z6KOPuvVfz5498de//rWdSoUerWsf6JrEX74BgK1btyItLU2O+7Nnz7ZDpdDTVXT3l2sAIC8vD9OnT8eECRMwfvx47N+/vz0yqQPjSHp6equyiRMn8jQZFI2NjSwnJ4e5XC7GGGOvvfYau+GGGxhjjN17773smWeeYYwxduDAATZkyBB29epVxhhj33//PTt9+jS74YYb2LZt29zqTE9PZ9nZ2Ywxxqqrq9mAAQNYUVGRV/vPPvssW7lyJWOMsTNnzrABAwawixcvMsYYq6mpkY+rrKxkUVFRzGq1eq3H37H+bIhCy7ozxtjVq1fZddddx5YuXcp++ctf+mxHSUkJO3LkCFu7dm2r45YuXcrWrl3LGGPMbrez9PR0duDAgbak4YqWdV+5ciV75ZVXAmqHv3pmzpzJ3n77bcYYYxaLhSUlJbHKysqA6uVJV9H+n//8J2toaGCMMXbkyBEWHR3N7HY7Y4xi3hv+dP/yyy/ZzJkzWW1tLWOsJV4dDofXeo4cOcKKi4vZPffc06qvsrKy2F/+8he5vampqSwnJycwgTihZd2VHDx4kMXFxbGmpiav9Xz44YfspptuYg6Hg1VXV7OkpCR2/Phxxhhjv/zlL9kTTzzBGGPM4XCwW265hb3++uuBCcSRrqL9rl275LFRXl7O4uLiWGlpKWOMsVdeeYXdfvvtchsfeOAB9qtf/SoAdfihZd3bkyP8rWuUmEwm1rNnT2YymfzqogZa1r49axJ/+aawsJCNHTuWVVVVMcYYq6+vZ5cvX26nUqGlq+juL9dUVVWxYcOGseLiYsYYY1euXHHbc2kFrmfqo6Ki8N1338nP9+3bh6ioKJ4mg6Jnz56YN28edDodAGDGjBnyJ1+fffYZVq9eDQCYPn06EhISkJeXBwC45pprMGLECK916nQ61NbWAgAuX76MiIgI9OvXz+uxmzdvlm0MHz4cGRkZ2LZtGwDIVzoAgN1uB2PM5yer/o71Z0MUWtYdAJ577jnceeedGD16tN92SJ9OhoW1/jbLDz/8gHnz5gEAIiMjcf311+Pjjz/2Wx9vtK57oPirR6n7gAEDkJ6eromz9V1F+7lz56JXr14AgLS0NDDG5DNkFPOt8af7Sy+9hGeeeQYxMTEAWuLVYDB4rSc9PR0pKSnQ61tP3TqdDnV1dQBazmA2Nzdj8ODBfnXhjZZ1V/Luu+9i+fLliIiI8FnPz3/+cxgMBvTr1w933XUXPvnkE9kfm80Gl8uFq1evoqGhAUOHDg1AHb50Fe1vvvlmeWwkJiYiPj4eFRUVsj8NDQ1obm6Gw+GA3W4Xrr2WdW9PjvC3rlHy4Ycf4pZbbkF8fLzf49RAy9q3Z03iL9+8/PLLePLJJ5GQkACgZZ/Vu3fvgDXiQVfR3V+ueeONN7B06VKkpKQAAHr06OG259IKXDf1L774IhYvXoyMjAxkZGTgZz/7Gf785z/zNBkS/vKXvyArKwvV1dVobm52S1bJyckoLy9vs473338f69atQ1JSEsaMGYPnn3/eZ9IrLy/HsGHDfNr461//irFjx2LKlCnYsGEDBg4c6NOur2PbsqEFtKT7999/j/379+Oxxx7rUJumTp2Kf/zjH3C5XLBarfjqq6+EXyrliZZ0l/yZOHEiFixYgCNHjvi06a+eqVOnypdOnTlzBt99953mdAc6r/ae9keMGCHXSzHfGn+6FxcX49ChQ/jJT36CadOmBX0Z66uvvorPP/8cCQkJSEhIwIoVKzB58uSg6uKFlnSXaGxsxCeffIL777/fp01/9axbtw6lpaWIj4/HwIEDkZKSgoULF7bZDrXprNor2bVrF2pqajB9+nQAwEMPPYSoqCgMHDgQgwYNQl1dHdasWRNQXWqhJd155Ij33nsv4P5TGy1p3541SVvzRXl5OW644QZMnjwZ69atg9PpbLMdatJZdVfimWuKi4vR2NiIWbNmYdKkSXjsscdw+fLlNutRG66b+v/3//4fTpw4gV//+tf49a9/jaKiIlxzzTU8TXaY559/HqWlpVi/fn2H6nnhhRewfv16lJeXo6ioCGvXrkVxcXFQdf3iF79ASUkJvvvuOzz//POorq4OybFaQku6NzQ04JFHHsHbb78tf/IYLC+//DLsdjsmT56MpUuXIiMjo81PvtVES7oDwJ/+9CecPn0aR48exf3334+5c+fCbre3u54PP/wQ33//PSZNmoQnnngCN998s6Z0B7qG9v/+97/x7LPPYvPmzfJYoZhvHw6HA2VlZfj222+Rm5uLt956C0ajsd31vPHGG1iyZAnOnz+Pc+fOYdOmTfj666/bXQ8vtKa7xJYtWzBmzBikpaUF9f5PP/0U48ePh8lkwvnz5/Hjjz/inXfeCdofHnQF7Y8dO4Z7770XmzdvRmRkJADgX//6F1wuFy5cuACTyYS+ffvi97//fdD+hBqt6R7qHLF3717YbDb5TKiW0Jr2oVqTOBwOHD58GLm5ufjPf/6D7777Dn//+9/bXQ8vuoLu3nKNw+HAt99+i88//xwHDx5ETU0NnnnmmaDaxhOum3oAiI2Nxbx58zBv3jxNXqqg5P/+7//wxRdfYOfOnejduzfi4uIQFhaGCxcuyMecPXsWSUlJfuu5ePEitm3bhqVLlwIARowYgRkzZmDfvn0oLi6Wby7y6KOPAgCSkpJw7ty5Nm2kp6djyJAh2LNnj9d6fB3bHhsi0Jrup0+fRnl5OW688UYkJyfj1VdfxXvvvYeVK1eitrZWrmfRokVttq1///744IMP8MMPP+Drr7+GTqfDhAkTgpEp5GhNdwAYMmSIfGnxokWLEB0djZKSknbXk5ycjK1bt+LIkSPIzs5GXV2dZnQHOr/2QMtNY+69917s2LEDY8eOlcsp5tune1JSEpYsWQKDwYD+/ftj3rx5yM/PbzPHe/L6669j5cqVAICBAwdi3rx5cv4XjRZ1l3j33XfdzjR6y/H+6nnjjTewbNkyGAwGREVF4Y477sDu3buDkYkLnV17oOUs2YIFC/Dee+/huuuuk8s3bNiARYsWoWfPnoiIiMCyZcs0o70WdfeVI9q7rpF49913sXLlSp9fFxKFFrX3tSZpb75JSkrC7bffjl69eiEyMhKLFy9Gfn5+CFTrOJ1dd8B3rklKSsL8+fMRGxuL8PBwLFmyRDO6uyH4O/2a4eWXX2ZTpkxhly5dcitfuXKl200eEhIS5Js8SHje5MHhcLDY2Fj273//mzHGmNVqZYmJiey7777zavuZZ55pdZMH6QZ3yhtDlJaWsoEDB8o3avDE37H+bIhEq7p7HufvRjH+jrt48aLsd2FhIRs0aBA7f/58m3XxRqu6V1RUyMft37+fxcXFyTcuaU89Fy5cYE6nkzHGWG5uLktMTJRv7CaarqB9Xl4eS0xMZIWFha1eo5hvjT/d//SnP8k392poaGDTpk1jn332md+2eLupYVpaGnv33XcZYy03KJw6dSr7xz/+4bceNdCq7owxdurUKRYZGcnq6ur8tuH9999vdeOqo0ePMsYYu/XWW9m6desYYy03V7311lvZ888/718UlegK2hcXF7Nhw4ax3NzcVq899thjbOXKlczlcjGXy8Uefvhh9uCDD/qtTw20qnswOcLX+qeuro5FRkayH3/80e/71Uar2rdnTeIv32zatIndddddzOl0submZrZw4UL24osvBi4QJ7qC7v5yzb59+9h1113Hrly5whhj7NFHH2WPPPKIH0XEQJt61rKYBcBGjBjB0tPTWXp6OrvmmmsYYy0BMXv2bDZq1Cg2fvx49s0338jv++Mf/8iGDBnCIiIiWFxcHBsyZAizWCyMMca+/vprNmXKFDZx4kSWkpLCXn75ZZ/27XY7+9nPfsZGjBjBRo8ezTZv3iy/Nn/+fDZ+/HiWnp7Opk6d6nex5+9YfzZEoWXdlbS1qd+1axcbMmQIi4qKYn369GFDhgyR79r5z3/+k40aNYqNGzeOTZ8+neXl5bVXppCjZd1vvvlmlpqaytLT09mMGTPc7LennrfffpuNHDmSjRkzhmVkZLBjx44FrVco6Srajxo1ig0cOFBuQ3p6urzooJhvjT/dGxsb2YoVK1hKSgobP368vEH0xvvvv8+GDBnCevfuzWJiYtiQIUPkD1YKCwvZzJkz2cSJE9m4cePYr3/9a/luxKLQsu6MMfb000+zFStWtNkOh8PBHnnkETZ8+HA2YsQI9uqrr8qvnTlzhs2ZM4elpqaylJQUdt9997HGxsZ26cSDrqL9rFmzWN++fd1yjbTorq6uZrfffjsbP348Gz9+PFu8eLHwkxVa1r09OcLfuoYxxt566y12/fXXd0irUKNl7duzJvGXb5xOJ3vqqafYuHHj2IQJE9jq1at9/nKEWnQV3f3lGsYYe/HFF1lKSgpLTU1ld911lybvfq9jjDFRVwkQBEEQBEEQBEEQBBE83L9TTxAEQRAEQRAEQRAEH2hTTxAEQRAEQRAEQRCdFNrUEwRBEARBEARBEEQnhTb1BEEQBEEQBEEQBNFJoU09QRAEQRAEQRAEQXRSaFNPEARBEARBEARBEJ0U2tQTBEEQBEEQBEEQRCeFNvUEQRAEQRAEQRAE0UmhTT1BEARBEARBEARBdFJoU08QBEEQBEEQBEEQnZT/D2K4BGlxfWVxAAAAAElFTkSuQmCC", + "image/png": 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", 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" ] @@ -690,7 +869,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 11, "id": "3906c313-2c8e-4ab6-89c8-e5fe80c66ba2", "metadata": {}, "outputs": [ @@ -744,7 +923,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 12, "id": "099c17ac-6efd-4409-9b94-4914a7095ccf", "metadata": {}, "outputs": [ @@ -754,13 +933,13 @@ "" ] }, - "execution_count": 38, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -794,15 +973,15 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 13, "id": "85c005c2-c59c-4c25-abc7-f0fe4727145f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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", 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -881,7 +1060,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 15, "id": "3d10b205-aef8-4688-97b2-5e9f0ae35582", "metadata": {}, "outputs": [ @@ -899,7 +1078,7 @@ " ('calendar_day_of_week', int32)]" ] }, - "execution_count": 41, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -919,12 +1098,12 @@ "source": [ "## Train a model\n", "\n", - "We first convert the Temporal EventSets into Pandas DataFrames. Then, we use the `tfdf.keras.pd_dataframe_to_tf_dataset` function to convert these DataFrames into TensorFlow datasets that can be used by TensorFlow Decision Forests." + "We first convert the Temporal EventSets into Pandas DataFrames. YDF consumes Pandas DataFrames natively." ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 16, "id": "254e72c9-f36c-409a-baca-cb7c3d43d3e7", "metadata": {}, "outputs": [ @@ -943,11 +1122,7 @@ "dataset_test_pd = tp.to_pandas(augmented_dataset_test_tp, timestamp_to_datetime=False)\n", "\n", "print(f\"Train example: {len(dataset_train_pd)}\")\n", - "print(f\"Test example: {len(dataset_test_pd)}\")\n", - "\n", - "# Pandas DataFrame to TensorFlow Dataset\n", - "dataset_train_tf = tfdf.keras.pd_dataframe_to_tf_dataset(dataset_train_pd, label=\"TX_FRAUD\")\n", - "dataset_test_tf = tfdf.keras.pd_dataframe_to_tf_dataset(dataset_test_pd, label=\"TX_FRAUD\")" + "print(f\"Test example: {len(dataset_test_pd)}\")" ] }, { @@ -960,35 +1135,460 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 19, "id": "e5425639-7bef-4f5d-b7ec-c6555987471d", "metadata": { - "scrolled": true + "scrolled": true, + "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[INFO 23-07-24 14:53:17.6808 -03 kernel.cc:1243] Loading model from path tmp/temporian_bank_fraud_detection/gbm.model/assets/ with prefix 1c67ef1ccf4444f1\n", - "[INFO 23-07-24 14:53:17.6898 -03 abstract_model.cc:1312] Engine \"GradientBoostedTreesQuickScorerExtended\" built\n", - "[INFO 23-07-24 14:53:17.6898 -03 kernel.cc:1075] Use fast generic engine\n" + "Warning: ydf.verbose(2) but logs cannot be displayed in the cell. Check colab logs or install wurlitzer with 'pip install wurlitzer'\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train model on 1466282 examples\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 24-03-26 19:30:36.0728 CET dataset.cc:400] max_vocab_count = -1 for column TX_FRAUD, the dictionary will not be pruned by size.\n", + "[WARNING 24-03-26 19:30:36.1534 CET gradient_boosted_trees.cc:1840] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", + "[WARNING 24-03-26 19:30:36.1534 CET gradient_boosted_trees.cc:1851] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", + "[WARNING 24-03-26 19:30:36.1535 CET gradient_boosted_trees.cc:1865] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", + "[INFO 24-03-26 19:30:36.1535 CET abstract_learner.cc:128] No input feature explicitly specified. Using all the available input features.\n", + "[INFO 24-03-26 19:30:36.1535 CET abstract_learner.cc:142] The label \"TX_FRAUD\" was removed from the input feature set.\n", + "[INFO 24-03-26 19:30:36.1535 CET gradient_boosted_trees.cc:544] Default loss set to BINOMIAL_LOG_LIKELIHOOD\n", + "[INFO 24-03-26 19:30:36.1535 CET gradient_boosted_trees.cc:1171] Training gradient boosted tree on 1466282 example(s) and 4 feature(s).\n", + "[INFO 24-03-26 19:30:36.1924 CET gradient_boosted_trees.cc:1214] 1319613 examples used for training and 146669 examples used for validation\n", + "[INFO 24-03-26 19:30:36.6044 CET gradient_boosted_trees.cc:1590] \tnum-trees:1 train-loss:0.074777 train-accuracy:0.991936 valid-loss:0.072254 valid-accuracy:0.992152\n", + "[INFO 24-03-26 19:30:36.9006 CET gradient_boosted_trees.cc:1592] \tnum-trees:2 train-loss:0.074167 train-accuracy:0.992011 valid-loss:0.071683 valid-accuracy:0.992186\n", + "[INFO 24-03-26 19:31:07.2584 CET gradient_boosted_trees.cc:1592] \tnum-trees:93 train-loss:0.070782 train-accuracy:0.992315 valid-loss:0.068867 valid-accuracy:0.992418\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model trained in 0:00:34.875405\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO 24-03-26 19:31:11.0267 CET early_stopping.cc:53] Early stop of the training because the validation loss does not decrease anymore. Best valid-loss: 0.0688434\n", + "[INFO 24-03-26 19:31:11.0267 CET gradient_boosted_trees.cc:270] Truncates the model to 73 tree(s) i.e. 73 iteration(s).\n", + "[INFO 24-03-26 19:31:11.0270 CET gradient_boosted_trees.cc:333] Final model num-trees:73 valid-loss:0.068843 valid-accuracy:0.992432\n" ] } ], "source": [ - "model_path = path_tmp / \"gbm.model\"\n", + "model_path = path_tmp / \"ydf_model\"\n", "if model_path.exists():\n", - " model = tf.keras.models.load_model(model_path)\n", + " model = ydf.load_model(str(model_path))\n", "else:\n", - " model = tfdf.keras.GradientBoostedTreesModel(features=[tfdf.keras.FeatureUsage(\"per_customer.moving_sum_frauds\"),\n", - " tfdf.keras.FeatureUsage(\"per_terminal.moving_sum_frauds\"),\n", - " tfdf.keras.FeatureUsage(\"calendar_hour\"),\n", - " tfdf.keras.FeatureUsage(\"calendar_day_of_week\"),\n", - " ],\n", - " exclude_non_specified_features=True)\n", - " model.fit(dataset_train_tf, verbose=2)\n", - " model.save(model_path)" + " ydf.verbose(2)\n", + " learner = ydf.GradientBoostedTreesLearner(\n", + " label=\"TX_FRAUD\",\n", + " features=[\"per_customer.moving_sum_frauds\",\n", + " \"per_terminal.moving_sum_frauds\",\n", + " \"calendar_hour\",\n", + " \"calendar_day_of_week\"])\n", + " model = learner.train(dataset_train_pd)\n", + " ydf.verbose(1)\n", + " model.save(str(model_path))" + ] + }, + { + "cell_type": "markdown", + "id": "28c2cbd3-6339-4faa-a859-1ef83af934fb", + "metadata": {}, + "source": [ + "It is a good idea to look at the model." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "4aa44abe-bc61-4202-86ef-64d9a6d66f2b", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "
ModelDataspecTrainingVariable importancesStructure
Name : GRADIENT_BOOSTED_TREES
Task : CLASSIFICATION
Label : TX_FRAUD
Features (4) : per_customer.moving_sum_frauds per_terminal.moving_sum_frauds calendar_hour calendar_day_of_week
Weights : None
Trained with tuner : No
Model size : 1016 kB
Number of records: 1466282\n",
+       "Number of columns: 5\n",
+       "\n",
+       "Number of columns by type:\n",
+       "\tNUMERICAL: 4 (80%)\n",
+       "\tCATEGORICAL: 1 (20%)\n",
+       "\n",
+       "Columns:\n",
+       "\n",
+       "NUMERICAL: 4 (80%)\n",
+       "\t0: "per_customer.moving_sum_frauds" NUMERICAL mean:0.504242 min:0 max:30 sd:1.61012\n",
+       "\t1: "per_terminal.moving_sum_frauds" NUMERICAL mean:0.197961 min:0 max:53 sd:1.59567\n",
+       "\t2: "calendar_hour" NUMERICAL mean:11.5006 min:0 max:23 sd:5.05715\n",
+       "\t3: "calendar_day_of_week" NUMERICAL mean:2.98623 min:0 max:6 sd:2.00086\n",
+       "\n",
+       "CATEGORICAL: 1 (20%)\n",
+       "\t4: "TX_FRAUD" CATEGORICAL has-dict vocab-size:3 zero-ood-items most-frequent:"0" 1454148 (99.1725%)\n",
+       "\n",
+       "Terminology:\n",
+       "\tnas: Number of non-available (i.e. missing) values.\n",
+       "\tood: Out of dictionary.\n",
+       "\tmanually-defined: Attribute whose type is manually defined by the user, i.e., the type was not automatically inferred.\n",
+       "\ttokenized: The attribute value is obtained through tokenization.\n",
+       "\thas-dict: The attribute is attached to a string dictionary e.g. a categorical attribute stored as a string.\n",
+       "\tvocab-size: Number of unique values.\n",
+       "

The following evaluation is computed on the validation or out-of-bag dataset.

Task: CLASSIFICATION\n",
+       "Label: TX_FRAUD\n",
+       "Loss (BINOMIAL_LOG_LIKELIHOOD): 0.0688434\n",
+       "\n",
+       "Accuracy: 0.992432  CI95[W][0 1]\n",
+       "ErrorRate: : 0.00756806\n",
+       "\n",
+       "\n",
+       "Confusion Table:\n",
+       "truth\\prediction\n",
+       "            0    1\n",
+       "    0  145310  191\n",
+       "    1     919  249\n",
+       "Total: 146669\n",
+       "\n",
+       "
\n", + "
\n", + "\n", + "
\n", + "
\n", + "\n", + "

Variable importances measure the importance of an input feature for a model.

    1. "per_terminal.moving_sum_frauds"  0.859896 ################\n",
+       "    2. "per_customer.moving_sum_frauds"  0.241117 \n",
+       "    3.                  "calendar_hour"  0.240364 \n",
+       "    4.           "calendar_day_of_week"  0.203979 \n",
+       "
    1. "per_terminal.moving_sum_frauds" 63.000000 ################\n",
+       "    2. "per_customer.moving_sum_frauds"  8.000000 #\n",
+       "    3.                  "calendar_hour"  2.000000 \n",
+       "
    1. "per_terminal.moving_sum_frauds" 697.000000 ################\n",
+       "    2.                  "calendar_hour" 568.000000 ##########\n",
+       "    3. "per_customer.moving_sum_frauds" 458.000000 #####\n",
+       "    4.           "calendar_day_of_week" 342.000000 \n",
+       "
    1. "per_terminal.moving_sum_frauds" 2452.551309 ################\n",
+       "    2. "per_customer.moving_sum_frauds" 212.165475 \n",
+       "    3.                  "calendar_hour" 195.976629 \n",
+       "    4.           "calendar_day_of_week" 121.874625 \n",
+       "

Those variable importances are computed during training. More, and possibly more informative, variable importances are available when analyzing a model on a test dataset.

Num trees : 73

Only printing the first tree.

Tree #0:\n",
+       "    "per_terminal.moving_sum_frauds">=2.5 [s:0.00122549 n:1319613 np:10761 miss:0] ; pred:5.39188e-09\n",
+       "        ├─(pos)─ "per_terminal.moving_sum_frauds">=18.5 [s:0.0176001 n:10761 np:3536 miss:0] ; pred:4.68486\n",
+       "        |        ├─(pos)─ "per_terminal.moving_sum_frauds">=25.5 [s:0.00442454 n:3536 np:1480 miss:0] ; pred:2.38372\n",
+       "        |        |        ├─(pos)─ "per_terminal.moving_sum_frauds">=37.5 [s:0.000963484 n:1480 np:183 miss:0] ; pred:1.43237\n",
+       "        |        |        |        ├─(pos)─ "per_terminal.moving_sum_frauds">=42.5 [s:0.000909302 n:183 np:59 miss:0] ; pred:0.429633\n",
+       "        |        |        |        |        ├─(pos)─ pred:-0.100838\n",
+       "        |        |        |        |        └─(neg)─ pred:0.682034\n",
+       "        |        |        |        └─(neg)─ "per_customer.moving_sum_frauds">=15 [s:0.000825983 n:1297 np:5 miss:0] ; pred:1.57386\n",
+       "        |        |        |                 ├─(pos)─ pred:5\n",
+       "        |        |        |                 └─(neg)─ pred:1.55216\n",
+       "        |        |        └─(neg)─ "per_terminal.moving_sum_frauds">=22.5 [s:0.000892859 n:2056 np:721 miss:0] ; pred:3.06854\n",
+       "        |        |                 ├─(pos)─ "calendar_hour">=8.5 [s:0.00249672 n:721 np:526 miss:1] ; pred:2.57515\n",
+       "        |        |                 |        ├─(pos)─ pred:2.94433\n",
+       "        |        |                 |        └─(neg)─ pred:1.57933\n",
+       "        |        |                 └─(neg)─ "calendar_day_of_week">=5.5 [s:0.000665012 n:1335 np:187 miss:0] ; pred:3.335\n",
+       "        |        |                          ├─(pos)─ pred:2.55967\n",
+       "        |        |                          └─(neg)─ pred:3.4613\n",
+       "        |        └─(neg)─ "per_terminal.moving_sum_frauds">=3.5 [s:0.00906797 n:7225 np:6188 miss:0] ; pred:5\n",
+       "        |                 ├─(pos)─ "per_terminal.moving_sum_frauds">=9.5 [s:0.0036483 n:6188 np:3617 miss:0] ; pred:5\n",
+       "        |                 |        ├─(pos)─ "per_terminal.moving_sum_frauds">=15.5 [s:0.00202378 n:3617 np:1087 miss:0] ; pred:5\n",
+       "        |                 |        |        ├─(pos)─ pred:4.83334\n",
+       "        |                 |        |        └─(neg)─ pred:5\n",
+       "        |                 |        └─(neg)─ "per_terminal.moving_sum_frauds">=5.5 [s:0.0014287 n:2571 np:1679 miss:0] ; pred:5\n",
+       "        |                 |                 ├─(pos)─ pred:5\n",
+       "        |                 |                 └─(neg)─ pred:5\n",
+       "        |                 └─(neg)─ "per_customer.moving_sum_frauds">=4.5 [s:0.00150037 n:1037 np:55 miss:0] ; pred:2.98837\n",
+       "        |                          ├─(pos)─ "calendar_hour">=15.5 [s:0.00309917 n:55 np:15 miss:0] ; pred:1.0023\n",
+       "        |                          |        ├─(pos)─ pred:-0.100838\n",
+       "        |                          |        └─(neg)─ pred:1.41598\n",
+       "        |                          └─(neg)─ "per_customer.moving_sum_frauds">=0.5 [s:0.00156966 n:982 np:275 miss:1] ; pred:3.09961\n",
+       "        |                                   ├─(pos)─ pred:3.87046\n",
+       "        |                                   └─(neg)─ pred:2.79977\n",
+       "        └─(neg)─ "per_customer.moving_sum_frauds">=3.5 [s:9.99603e-06 n:1308852 np:34423 miss:0] ; pred:-0.0385175\n",
+       "                 ├─(pos)─ "per_customer.moving_sum_frauds">=10.5 [s:9.78865e-05 n:34423 np:8963 miss:0] ; pred:0.194919\n",
+       "                 |        ├─(pos)─ "per_customer.moving_sum_frauds">=12.5 [s:1.71467e-05 n:8963 np:6754 miss:0] ; pred:-0.00742264\n",
+       "                 |        |        ├─(pos)─ "calendar_hour">=18.5 [s:3.59056e-06 n:6754 np:620 miss:0] ; pred:-0.0361589\n",
+       "                 |        |        |        ├─(pos)─ pred:0.0361646\n",
+       "                 |        |        |        └─(neg)─ pred:-0.043469\n",
+       "                 |        |        └─(neg)─ "calendar_hour">=5.5 [s:3.33246e-05 n:2209 np:1922 miss:1] ; pred:0.0804382\n",
+       "                 |        |                 ├─(pos)─ pred:0.107507\n",
+       "                 |        |                 └─(neg)─ pred:-0.100838\n",
+       "                 |        └─(neg)─ "per_customer.moving_sum_frauds">=4.5 [s:5.82315e-05 n:25460 np:14304 miss:0] ; pred:0.266153\n",
+       "                 |                 ├─(pos)─ "per_customer.moving_sum_frauds">=8.5 [s:2.2442e-05 n:14304 np:2840 miss:0] ; pred:0.347929\n",
+       "                 |                 |        ├─(pos)─ pred:0.232434\n",
+       "                 |                 |        └─(neg)─ pred:0.376541\n",
+       "                 |                 └─(neg)─ "per_terminal.moving_sum_frauds">=0.5 [s:1.75842e-05 n:11156 np:1074 miss:0] ; pred:0.161301\n",
+       "                 |                          ├─(pos)─ pred:0.317204\n",
+       "                 |                          └─(neg)─ pred:0.144693\n",
+       "                 └─(neg)─ "per_terminal.moving_sum_frauds">=1.5 [s:6.43231e-06 n:1274429 np:7365 miss:0] ; pred:-0.0448228\n",
+       "                          ├─(pos)─ "per_customer.moving_sum_frauds">=0.5 [s:1.24714e-05 n:7365 np:1866 miss:1] ; pred:0.35884\n",
+       "                          |        ├─(pos)─ "calendar_hour">=13.5 [s:0.000145744 n:1866 np:679 miss:0] ; pred:0.432404\n",
+       "                          |        |        ├─(pos)─ pred:0.238714\n",
+       "                          |        |        └─(neg)─ pred:0.543201\n",
+       "                          |        └─(neg)─ "calendar_hour">=12.5 [s:2.62393e-05 n:5499 np:2374 miss:0] ; pred:0.333877\n",
+       "                          |                 ├─(pos)─ pred:0.405193\n",
+       "                          |                 └─(neg)─ pred:0.2797\n",
+       "                          └─(neg)─ "per_customer.moving_sum_frauds">=0.5 [s:2.1902e-06 n:1267064 np:256151 miss:1] ; pred:-0.0471692\n",
+       "                                   ├─(pos)─ "per_customer.moving_sum_frauds">=2.5 [s:3.175e-06 n:256151 np:25561 miss:0] ; pred:-0.0114934\n",
+       "                                   |        ├─(pos)─ pred:0.0534486\n",
+       "                                   |        └─(neg)─ pred:-0.0186923\n",
+       "                                   └─(neg)─ "per_terminal.moving_sum_frauds">=0.5 [s:4.92022e-07 n:1010913 np:60759 miss:0] ; pred:-0.0562089\n",
+       "                                            ├─(pos)─ pred:-0.0225495\n",
+       "                                            └─(neg)─ pred:-0.0583613\n",
+       "
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.describe()" ] }, { @@ -1003,42 +1603,400 @@ }, { "cell_type": "code", - "execution_count": 44, - "id": "0a5e0db4-23be-46d6-b18c-5ac43e2d1d9a", - "metadata": {}, + "execution_count": 24, + "id": "675004c9-b5df-4a7c-b3ce-2338371329b1", + "metadata": { + "tags": [] + }, "outputs": [ { "data": { - "image/png": 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", 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accuracy:
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0.991055
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AUC: '1' vs others:
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0.794674
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PR-AUC: '1' vs others:
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0.2325
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loss:
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0.037454
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\n", + " num examples:\n", + "
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287873
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287873
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Label \\ Pred01
02847522001
1574546
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" + "Evaluation()" ] }, + "execution_count": 24, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "# Predictions of the model\n", - "test_predictions = model.predict(dataset_test_tf, verbose=0)[:,0]\n", - "\n", - "# The real fraud information\n", - "test_labels = dataset_test_pd[\"TX_FRAUD\"].values\n", - "\n", - "# Compute the ROC and AUC.\n", - "fpr, tpr, thresholds = sk_metrics.roc_curve(test_labels, test_predictions)\n", - "auc = sk_metrics.roc_auc_score(test_labels, test_predictions)\n", - "\n", - "# Plot\n", - "plt.figure(figsize=(8, 6))\n", - "plt.plot(fpr, tpr)\n", - "plt.plot([0, 1], [0, 1], 'k--')\n", - "plt.xlim([0.0, 1.0])\n", - "plt.ylim([0.0, 1.05])\n", - "plt.xlabel('False Positive Rate')\n", - "plt.ylabel('True Positive Rate')\n", - "plt.title('Receiver Operating Characteristic (AUC = %0.3f)' % auc )\n", - "plt.show()" + "model.evaluate(dataset_test_pd)" ] }, { @@ -1080,7 +2038,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.10" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/docs/src/tutorials/m5_competition.ipynb b/docs/src/tutorials/m5_competition.ipynb index 2829c966c..d66b697a0 100644 --- a/docs/src/tutorials/m5_competition.ipynb +++ b/docs/src/tutorials/m5_competition.ipynb @@ -1,7 +1,6 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "id": "98a0068b-af99-47d9-a6b2-9b36debd2880", "metadata": {}, @@ -22,7 +21,7 @@ "\n", "- Loading the dataset and initial cleaning using Pandas.\n", "- Temporal feature engineering using Temporian.\n", - "- Training and evaluation of a model using TensorFlow Decision Forests.\n", + "- Training and evaluation of a model using [YDF](https://ydf.readthedocs.io).\n", "\n", "The following preprocessing operations will be applied using Temporian:\n", "\n", @@ -36,7 +35,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "93035f73-8297-4a5f-8a47-1af913f002c8", "metadata": {}, @@ -46,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 80, "id": "52cc838e-e565-4d86-9eae-8a686ad6b0c7", "metadata": {}, "outputs": [ @@ -55,11 +53,11 @@ "output_type": "stream", "text": [ "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Note: you may need to restart the kernel to use updated packages.\n", "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Note: you may need to restart the kernel to use updated packages.\n" ] @@ -75,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 81, "id": "4e0d9e3a-b105-48e1-a47d-295312604774", "metadata": {}, "outputs": [], @@ -92,33 +90,59 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "34b3515b-9368-4ff5-80bf-181be1fe6593", "metadata": {}, "source": [ "## Download the raw data\n", "\n", - "The M5 dataset is a collection of csv files.\n" + "The M5 dataset is a collection of csv files." ] }, { "cell_type": "code", - "execution_count": 3, - "id": "ddb18926-5aec-4f36-8b04-008488eade04", + "execution_count": 82, + "id": "5cab6be3-0032-406a-a93b-b59bfb074126", "metadata": {}, "outputs": [], "source": [ "# Directory to download the raw M5 dataset and to export the result.\n", "work_directory = \"tmp/temporian_m5\"\n", - "os.makedirs(work_directory, exist_ok=True)\n", - "\n", - "# Download the M5 dataset\n", - "raw_data_zip = os.path.join(work_directory, \"raw.zip\")\n", - "if not os.path.exists(raw_data_zip):\n", - " url = \"https://docs.google.com/uc?export=download&id=1NYHXmgrcXg50zR4CVWPPntHx9vvU5jbM&confirm=t\"\n", - " urllib.request.urlretrieve(url, raw_data_zip)\n", + "os.makedirs(work_directory, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "26499fe1-03cb-44ab-9f34-0df30db5f234", + "metadata": {}, + "source": [ + "Download a copy of the M5 [here](https://docs.google.com/uc?export=download&id=1NYHXmgrcXg50zR4CVWPPntHx9vvU5jbM&confirm=t) and update the following path:" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "643efe0d-eb44-4b21-88df-ecafb91e2d6d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "raw_data_zip = os.path.join(work_directory, \"m5-forecasting-accuracy.zip\")\n", "\n", + "# Downloading the dataset automatically does not work anymore.\n", + "# if not os.path.exists(raw_data_zip):\n", + "# url = \"https://docs.google.com/uc?export=download&id=1NYHXmgrcXg50zR4CVWPPntHx9vvU5jbM&confirm=t\"\n", + "# urllib.request.urlretrieve(url, raw_data_zip)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "ddb18926-5aec-4f36-8b04-008488eade04", + "metadata": {}, + "outputs": [], + "source": [ "# Extract the M5 dataset\n", "raw_data_dir = os.path.join(work_directory, \"raw\")\n", "if not os.path.exists(raw_data_dir):\n", @@ -128,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 85, "id": "105c5f4a-0ab1-4de1-b46b-5b80254a5ee1", "metadata": {}, "outputs": [ @@ -137,11 +161,11 @@ "output_type": "stream", "text": [ "total 430M\n", - "-rw-r----- 1 gbm primarygroup 102K Aug 18 21:48 calendar.csv\n", - "-rw-r----- 1 gbm primarygroup 117M Aug 18 21:48 sales_train_evaluation.csv\n", - "-rw-r----- 1 gbm primarygroup 115M Aug 18 21:48 sales_train_validation.csv\n", - "-rw-r----- 1 gbm primarygroup 5.0M Aug 18 21:48 sample_submission.csv\n", - "-rw-r----- 1 gbm primarygroup 194M Aug 18 21:48 sell_prices.csv\n" + "-rw-r----- 1 gbm primarygroup 102K Mar 26 19:41 calendar.csv\n", + "-rw-r----- 1 gbm primarygroup 117M Mar 26 19:41 sales_train_evaluation.csv\n", + "-rw-r----- 1 gbm primarygroup 115M Mar 26 19:41 sales_train_validation.csv\n", + "-rw-r----- 1 gbm primarygroup 5.0M Mar 26 19:41 sample_submission.csv\n", + "-rw-r----- 1 gbm primarygroup 194M Mar 26 19:41 sell_prices.csv\n" ] } ], @@ -150,7 +174,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "5537c78f-e441-4e55-8e5b-b6fe06bf281c", "metadata": {}, @@ -162,7 +185,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 86, "id": "e144ebe2-dc46-46e3-8d89-67355aed7000", "metadata": {}, "outputs": [ @@ -236,7 +259,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "bb1c2481-84e0-4876-91e3-8fee0e1b11ce", "metadata": {}, @@ -252,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 87, "id": "be833bab-ef50-4809-8341-23938b1279f4", "metadata": {}, "outputs": [ @@ -283,7 +305,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "f1886f09-6ae1-4791-a0d6-b4d17387600c", "metadata": {}, @@ -298,7 +319,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "00c50ff7-02b1-459b-a5cd-7781580d3595", "metadata": {}, @@ -310,7 +330,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 88, "id": "df78d002-e33d-4b02-aec0-d5deca909805", "metadata": {}, "outputs": [ @@ -509,7 +529,7 @@ "[5 rows x 1947 columns]" ] }, - "execution_count": 7, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" } @@ -519,7 +539,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "3081b911-48df-4a39-8678-171a1dde8149", "metadata": {}, @@ -545,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 89, "id": "6b55d1f4-cf72-4f62-92ee-c988b94fc01d", "metadata": {}, "outputs": [], @@ -560,7 +579,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "594e5f2c-2b7a-4aeb-8165-8e9527929690", "metadata": {}, @@ -571,7 +589,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 90, "id": "cfe44b50-afbc-40ab-bd64-7ec231baf123", "metadata": {}, "outputs": [], @@ -583,7 +601,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "33aafd0d-79d8-41bc-accb-375307ab7660", "metadata": {}, @@ -593,7 +610,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 91, "id": "4688a3e7-adff-449c-a5dc-0e052b52c96d", "metadata": {}, "outputs": [], @@ -602,7 +619,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "04b4620c-7312-409e-80df-d2acee173e6d", "metadata": {}, @@ -612,7 +628,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 92, "id": "6fa03718-4050-400b-b5cb-f8402a95766a", "metadata": {}, "outputs": [ @@ -723,7 +739,7 @@ "4 2011-01-29 00:00:00+00:00 " ] }, - "execution_count": 11, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -733,7 +749,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "8deb0ffd-0380-4540-9596-44bdde8b50e1", "metadata": {}, @@ -743,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 93, "id": "801c3ab0-de0b-400d-9416-a74917c507dc", "metadata": {}, "outputs": [ @@ -751,47 +766,554 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING:root:Feature \"item_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"dept_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"cat_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"store_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"state_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" + "WARNING:root:Feature \"item_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"dept_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"cat_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"store_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"state_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" ] }, { "data": { "text/html": [ - "
80 indexes × 2 features (memory usage: 3.8 MB)

Index: (item_id=FOODS_3_090, dept_id=FOODS_3, cat_id=FOODS, store_id=CA_1, state_id=CA)

1941 events
timestampdaysales
2011-01-29 00:00:00+00:001107
2011-01-30 00:00:00+00:002182
2011-01-31 00:00:00+00:00347
2011-02-01 00:00:00+00:00447
2011-02-02 00:00:00+00:00562
2011-02-03 00:00:00+00:00690
2011-02-04 00:00:00+00:00781
2011-02-05 00:00:00+00:008124
2011-02-06 00:00:00+00:009134
2011-02-07 00:00:00+00:001065
2011-02-08 00:00:00+00:00110
2011-02-09 00:00:00+00:00120
2011-02-10 00:00:00+00:00130
2011-02-11 00:00:00+00:00140
2011-02-12 00:00:00+00:00150
2011-02-13 00:00:00+00:00160
2011-02-14 00:00:00+00:00170
2011-02-15 00:00:00+00:00180
2011-02-16 00:00:00+00:00190
2011-02-17 00:00:00+00:00200
………

Index: (item_id=FOODS_3_090, dept_id=FOODS_3, cat_id=FOODS, store_id=CA_2, state_id=CA)

1941 events
timestampdaysales
2011-01-29 00:00:00+00:001116
2011-01-30 00:00:00+00:00290
2011-01-31 00:00:00+00:00335
2011-02-01 00:00:00+00:00433
2011-02-02 00:00:00+00:00526
2011-02-03 00:00:00+00:00638
2011-02-04 00:00:00+00:007100
2011-02-05 00:00:00+00:00889
2011-02-06 00:00:00+00:00971
2011-02-07 00:00:00+00:00100
2011-02-08 00:00:00+00:00110
2011-02-09 00:00:00+00:00120
2011-02-10 00:00:00+00:00130
2011-02-11 00:00:00+00:00140
2011-02-12 00:00:00+00:00150
2011-02-13 00:00:00+00:00160
2011-02-14 00:00:00+00:00170
2011-02-15 00:00:00+00:00180
2011-02-16 00:00:00+00:00190
2011-02-17 00:00:00+00:00200
………

Index: (item_id=FOODS_3_090, dept_id=FOODS_3, cat_id=FOODS, store_id=CA_3, state_id=CA)

1941 events
timestampdaysales
2011-01-29 00:00:00+00:001108
2011-01-30 00:00:00+00:002132
2011-01-31 00:00:00+00:003102
2011-02-01 00:00:00+00:004120
2011-02-02 00:00:00+00:005106
2011-02-03 00:00:00+00:006123
2011-02-04 00:00:00+00:007279
2011-02-05 00:00:00+00:008175
2011-02-06 00:00:00+00:009186
2011-02-07 00:00:00+00:0010120
2011-02-08 00:00:00+00:00110
2011-02-09 00:00:00+00:00120
2011-02-10 00:00:00+00:00130
2011-02-11 00:00:00+00:00140
2011-02-12 00:00:00+00:00150
2011-02-13 00:00:00+00:00160
2011-02-14 00:00:00+00:00170
2011-02-15 00:00:00+00:00180
2011-02-16 00:00:00+00:00190
2011-02-17 00:00:00+00:00200
………

Index: (item_id=FOODS_3_090, dept_id=FOODS_3, cat_id=FOODS, store_id=CA_4, state_id=CA)

1941 events
timestampdaysales
2011-01-29 00:00:00+00:00169
2011-01-30 00:00:00+00:00249
2011-01-31 00:00:00+00:00337
2011-02-01 00:00:00+00:00440
2011-02-02 00:00:00+00:00538
2011-02-03 00:00:00+00:00639
2011-02-04 00:00:00+00:00761
2011-02-05 00:00:00+00:00879
2011-02-06 00:00:00+00:009102
2011-02-07 00:00:00+00:001086
2011-02-08 00:00:00+00:00110
2011-02-09 00:00:00+00:00120
2011-02-10 00:00:00+00:00130
2011-02-11 00:00:00+00:00140
2011-02-12 00:00:00+00:00150
2011-02-13 00:00:00+00:00160
2011-02-14 00:00:00+00:00170
2011-02-15 00:00:00+00:00180
2011-02-16 00:00:00+00:00190
2011-02-17 00:00:00+00:00200
………

Index: (item_id=FOODS_3_090, dept_id=FOODS_3, cat_id=FOODS, store_id=TX_1, state_id=TX)

1941 events
timestampdaysales
2011-01-29 00:00:00+00:00175
2011-01-30 00:00:00+00:00254
2011-01-31 00:00:00+00:00374
2011-02-01 00:00:00+00:00462
2011-02-02 00:00:00+00:00560
2011-02-03 00:00:00+00:006106
2011-02-04 00:00:00+00:00796
2011-02-05 00:00:00+00:008118
2011-02-06 00:00:00+00:009177
2011-02-07 00:00:00+00:001051
2011-02-08 00:00:00+00:00110
2011-02-09 00:00:00+00:00120
2011-02-10 00:00:00+00:00130
2011-02-11 00:00:00+00:00140
2011-02-12 00:00:00+00:00150
2011-02-13 00:00:00+00:00160
2011-02-14 00:00:00+00:00170
2011-02-15 00:00:00+00:00180
2011-02-16 00:00:00+00:00190
2011-02-17 00:00:00+00:00200
………
… (75 more indexes not shown)
" + "
\n", + "
\n", + "
\n", + " \n", + " features\n", + " [2]:\n", + " \n", + " day\n", + " (int64)\n", + " , \n", + " sales\n", + " (int64)\n", + "
\n", + "
\n", + " \n", + " indexes\n", + " [5]:\n", + " \n", + " item_id\n", + " (str_)\n", + " , \n", + " dept_id\n", + " (str_)\n", + " , \n", + " cat_id\n", + " (str_)\n", + " , \n", + " store_id\n", + " (str_)\n", + " , \n", + " state_id\n", + " (str_)\n", + "
\n", + "
\n", + " events: \n", + " 155280\n", + "
\n", + "
\n", + " index values: \n", + " 80\n", + "
\n", + "
\n", + " memory usage: \n", + " 3.8 MB\n", + "
\n", + "
\n", + "
\n", + " index\n", + " (\n", + " item_id: \n", + " FOODS_3_090\n", + " , \n", + " dept_id: \n", + " FOODS_3\n", + " , \n", + " cat_id: \n", + " FOODS\n", + " , \n", + " store_id: \n", + " CA_1\n", + " , \n", + " state_id: \n", + " CA\n", + " ) with 1941 events\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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " day\n", + " \n", + " \n", + " \n", + " sales\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 1\n", + " \n", + " 107\n", + "
\n", + " 2011-01-30 00:00:00+00:00\n", + " \n", + " 2\n", + " \n", + " 182\n", + "
\n", + " 2011-01-31 00:00:00+00:00\n", + " \n", + " 3\n", + " \n", + " 47\n", + "
\n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-05-20 00:00:00+00:00\n", + " \n", + " 1939\n", + " \n", + " 69\n", + "
\n", + " 2016-05-21 00:00:00+00:00\n", + " \n", + " 1940\n", + " \n", + " 67\n", + "
\n", + " 2016-05-22 00:00:00+00:00\n", + " \n", + " 1941\n", + " \n", + " 64\n", + "
\n", + "
\n", + " index\n", + " (\n", + " item_id: \n", + " FOODS_3_090\n", + " , \n", + " dept_id: \n", + " FOODS_3\n", + " , \n", + " cat_id: \n", + " FOODS\n", + " , \n", + " store_id: \n", + " CA_2\n", + " , \n", + " state_id: \n", + " CA\n", + " ) with 1941 events\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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " day\n", + " \n", + " \n", + " \n", + " sales\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 1\n", + " \n", + " 116\n", + "
\n", + " 2011-01-30 00:00:00+00:00\n", + " \n", + " 2\n", + " \n", + " 90\n", + "
\n", + " 2011-01-31 00:00:00+00:00\n", + " \n", + " 3\n", + " \n", + " 35\n", + "
\n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-05-20 00:00:00+00:00\n", + " \n", + " 1939\n", + " \n", + " 66\n", + "
\n", + " 2016-05-21 00:00:00+00:00\n", + " \n", + " 1940\n", + " \n", + " 63\n", + "
\n", + " 2016-05-22 00:00:00+00:00\n", + " \n", + " 1941\n", + " \n", + " 59\n", + "
\n", + "
\n", + " index\n", + " (\n", + " item_id: \n", + " FOODS_3_090\n", + " , \n", + " dept_id: \n", + " FOODS_3\n", + " , \n", + " cat_id: \n", + " FOODS\n", + " , \n", + " store_id: \n", + " CA_3\n", + " , \n", + " state_id: \n", + " CA\n", + " ) with 1941 events\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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " day\n", + " \n", + " \n", + " \n", + " sales\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 1\n", + " \n", + " 108\n", + "
\n", + " 2011-01-30 00:00:00+00:00\n", + " \n", + " 2\n", + " \n", + " 132\n", + "
\n", + " 2011-01-31 00:00:00+00:00\n", + " \n", + " 3\n", + " \n", + " 102\n", + "
\n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-05-20 00:00:00+00:00\n", + " \n", + " 1939\n", + " \n", + " 110\n", + "
\n", + " 2016-05-21 00:00:00+00:00\n", + " \n", + " 1940\n", + " \n", + " 156\n", + "
\n", + " 2016-05-22 00:00:00+00:00\n", + " \n", + " 1941\n", + " \n", + " 99\n", + "
\n", + "
\n", + " index\n", + " (\n", + " item_id: \n", + " FOODS_3_090\n", + " , \n", + " dept_id: \n", + " FOODS_3\n", + " , \n", + " cat_id: \n", + " FOODS\n", + " , \n", + " store_id: \n", + " CA_4\n", + " , \n", + " state_id: \n", + " CA\n", + " ) with 1941 events\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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " day\n", + " \n", + " \n", + " \n", + " sales\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 1\n", + " \n", + " 69\n", + "
\n", + " 2011-01-30 00:00:00+00:00\n", + " \n", + " 2\n", + " \n", + " 49\n", + "
\n", + " 2011-01-31 00:00:00+00:00\n", + " \n", + " 3\n", + " \n", + " 37\n", + "
\n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-05-20 00:00:00+00:00\n", + " \n", + " 1939\n", + " \n", + " 22\n", + "
\n", + " 2016-05-21 00:00:00+00:00\n", + " \n", + " 1940\n", + " \n", + " 16\n", + "
\n", + " 2016-05-22 00:00:00+00:00\n", + " \n", + " 1941\n", + " \n", + " 38\n", + "
\n", + " … (76 more indexes not shown)\n", + "
\n" ], "text/plain": [ "indexes: [('item_id', str_), ('dept_id', str_), ('cat_id', str_), ('store_id', str_), ('state_id', str_)]\n", "features: [('day', int64), ('sales', int64)]\n", "events:\n", " item_id=b'FOODS_3_090' dept_id=b'FOODS_3' cat_id=b'FOODS' store_id=b'CA_1' state_id=b'CA' (1941 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4637e+09 1.4638e+09 1.4639e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-01-30T00:00:00' '2011-01-31T00:00:00' ...\n", + " '2016-05-20T00:00:00' '2016-05-21T00:00:00' '2016-05-22T00:00:00']\n", " 'day': [ 1 2 3 ... 1939 1940 1941]\n", " 'sales': [107 182 47 ... 69 67 64]\n", " item_id=b'FOODS_3_090' dept_id=b'FOODS_3' cat_id=b'FOODS' store_id=b'CA_2' state_id=b'CA' (1941 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4637e+09 1.4638e+09 1.4639e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-01-30T00:00:00' '2011-01-31T00:00:00' ...\n", + " '2016-05-20T00:00:00' '2016-05-21T00:00:00' '2016-05-22T00:00:00']\n", " 'day': [ 1 2 3 ... 1939 1940 1941]\n", " 'sales': [116 90 35 ... 66 63 59]\n", " item_id=b'FOODS_3_090' dept_id=b'FOODS_3' cat_id=b'FOODS' store_id=b'CA_3' state_id=b'CA' (1941 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4637e+09 1.4638e+09 1.4639e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-01-30T00:00:00' '2011-01-31T00:00:00' ...\n", + " '2016-05-20T00:00:00' '2016-05-21T00:00:00' '2016-05-22T00:00:00']\n", " 'day': [ 1 2 3 ... 1939 1940 1941]\n", " 'sales': [108 132 102 ... 110 156 99]\n", " item_id=b'FOODS_3_090' dept_id=b'FOODS_3' cat_id=b'FOODS' store_id=b'CA_4' state_id=b'CA' (1941 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4637e+09 1.4638e+09 1.4639e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-01-30T00:00:00' '2011-01-31T00:00:00' ...\n", + " '2016-05-20T00:00:00' '2016-05-21T00:00:00' '2016-05-22T00:00:00']\n", " 'day': [ 1 2 3 ... 1939 1940 1941]\n", " 'sales': [69 49 37 ... 22 16 38]\n", - " item_id=b'FOODS_3_090' dept_id=b'FOODS_3' cat_id=b'FOODS' store_id=b'TX_1' state_id=b'TX' (1941 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4637e+09 1.4638e+09 1.4639e+09]\n", - " 'day': [ 1 2 3 ... 1939 1940 1941]\n", - " 'sales': [75 54 74 ... 68 62 82]\n", - " ... (showing 5 of 80 indexes)\n", + " ... (showing 4 of 80 indexes)\n", "memory usage: 3.8 MB" ] }, - "execution_count": 12, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -806,7 +1328,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "40dd83fa-742f-41d1-b23b-cfab43f4ad3d", "metadata": {}, @@ -816,7 +1337,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 94, "id": "bb44fde1-d2b4-4ff8-b0c2-4367ee95e514", "metadata": {}, "outputs": [ @@ -824,13 +1345,290 @@ "name": "stdout", "output_type": "stream", "text": [ - "The number of plots (160) is larger than \"options.max_num_plots=4\". Only the first plots will be printed.\n" + "The number of plots (8) is larger than \"options.max_num_plots=4\". Only the first plots will be printed.\n" ] }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -839,7 +1637,7 @@ "data": { "text/html": [ "\n", - "
\n" + "
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      -                  	                                                               	                                                 #                        &            $   $            +   !   .   #   '       /   H   B   #   :   )   "   1   ?             ;      %   (      !      "      "   '   2         5   /   L   @      $   /      $   ,   .   2   "   *                                        "         *   +   2   )   -   +   )   "   #   &   (   $         (      '   ,      #      &         )   %         !   )   A   B   /   A   (         ,   1      5   ,   )   1   2   1   )         "   !   !                      3   -   !   .   (   "      '            *   "   )   ,   (   "   '   "         "                     (   #   !         '   2   "   *   )   !   %      $   '   -   7   "   .   3   )   -   )   #         /            #   !   &         3      +   9   $   &   )   )   )   )   *   4   /       &      #   %   !   3      $   &   +   2      "         ,      0   !   %   %   $               $      '   $      $                        %   (            !   !            0   .   %   .   ;   :   ,   ,   +   +      '   4   0   (   5   +   *      1   "   6   %   /   '   #   /   /   7   ;   >   /   )   -   -   +   8   ,       (      !                               $         1   *   %   2   /   -   (   #         (   #            !   (   -         '   "                           "   -         (   7   /   2   !   )   &   $       ,      $   !         .   !   #   &   +   +   1                         "      5      0   5            '   %   '      %         &   %   "                                     !   (            )      &   #               (   $   )   "   6       !   (      1       '                              #   *   /   %      $   &      '   '      $       !      7   "   %   +   ,   ,         &   !      "   %      (   *   1       "   &   3   -      -   2   )   1   .   3   "   *   %   !            $   #   5         )   )   2   9   )   (   3   2   *   )   3   $   %   &   %   +   7   /   -   &   )               '         #   +   '   .               '   3   0   1   #       !   %   *   %   "                ,   ,   +   "      !      %      #         &   &   /   &      "       &      *   ,   #   !   #      *   .   !      '   )   (   -   2   .      ,   %                                "   $   2                                             $                  ,               %   ,   9   +   '   !   .      *   )   0   '      *   <   0   (   5      %   %   .   4   8   )            ,   B   D   ;   7   $   3   *   )   6   2   &      !       ,   &                                           $   !         .      )   +   !      (   &   1   -   ,               !      +                   (                  *   &   #   (   -   ,      1       D   (   *            %   ,               #   )                     .      #   -   $      -   !         "         (               (                                              *   1   (   +   !   -   %   $   "   5   #   &   $   '      0   )   0      '            #   '      "         /   >   )   1   #   $   *   /   8   !   0         (   2   "      $                  $   #   #         %   #   &   %   3   )   (   ,   &   0   (   ,   &   /   #   '   '   %      %            "      !                      *      ,   ,   .   !                   &   (   0         $                                                "   6   *   7   "   1   #      $   $         %      )   3   )         !   #      (   %   '          )      #      -      !      #                         #      )   #   &      %       (      "   %       *                  *   -            !      #         +                                                                     #            #   +               !   +   3               %      '                )          %               &   /         #      $                                                            !      '   )                        /      )            "                                  
      !   5   #                  *                      *      %               !                            %            "   ,   "   $      )      "   *   !                  "                                 !   )   *       "   !   -                %   $      &   (   4      -      !   '                           '   #   .   $   &      !   $   )            "   &   *      ,          !      $   $                         !      =   !         $          &          '   !   #   "       %         "   "                                    &   (   $             !   +   $   (   "         %   !       &   $                                     1          &      &      #      #      (         #   '               !   $            +   (                     #   )   *          %          %         "   $            +   !                                  $                           *         "                                                                "   !   $   $               5   7   .   <   0      #   $   (   !   "   #   (   *   -   &   '   '         ,   ,   -   *   (   .   *   -   ,   #   #   5   '   '   1   $      *   (   )      &   "      -   ;   !         %   #   4   ,   )       !   $   %   %   +   "   -   %      -   )   ,   4   &                 !            %   #   )   $                )   )      '            0    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                     	         1                                 	                                                                              	   	                                          
                  
      	                                                                  	                                                               	                                       	                                                      ,                  #   )                  #   '   %                  !               :   )   %               	   !                        $            !      #   (   "         !      6   E   2   '       (      $                                             %                                                                  !                  *   #         #         1   .                  +                     A   %               *   &   (                  (               %      ,   '            !   (   9                  (   !   %                  #                                                               *   !                  &   "                  %                               
         $   *                     (                     ,                        #                     "                *   %   '                           (      "   "   $                     !                  $   '                                          2            #                           &      $   #               $            "         5                        "               )   &                     (                      (                )         $               *   /                      (   "               !      $                  +                  #   ,   !            /   G   -   !                  (                     !                  "   7       *   #             '                     (                                                      	                                                                            %                                       !                                 	                                         
                                  2                                                   
                                                           "                                       %                                                               "                     )                      (                                                                                 '                        5   "               "                         )   "               &      #                        )                                                                                                                                                                         	                                                         #                                     '   "                      #                     !   %                   .   9   (      #   &       &                                     
   
                                                                     $                     "   %                  !   $            	   	   *                     +                      3   &                                                
                  
                                             
                  
   
                  	                                                                                                                                                                                                
                                                                                    
         &            	                                                                                                                                                       	            	                                                                      
                                                                     	                                           /   1                        1                     #                  "      !                                                       
                                 
                                    "                                                                            
                                                      "         	                     	                                                                        "                                                                                     
                            \"},\"shape\":[1941],\"dtype\":\"int32\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p12195\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p12196\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p12191\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#d95f02\"}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p12192\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#d95f02\",\"line_alpha\":0.1}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p12193\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#d95f02\",\"line_alpha\":0.2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p12104\",\"attributes\":{\"tools\":[{\"id\":\"p12167\"},{\"id\":\"p12168\"},{\"id\":\"p12169\"},{\"id\":\"p12170\"},{\"id\":\"p12171\"},{\"id\":\"p12173\"},{\"id\":\"p12174\"},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p12175\"},{\"id\":\"p12176\"}]}},\"toolbar_location\":null,\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p12160\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p12163\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p12161\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p12162\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p12117\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"DatetimeTicker\",\"id\":\"p12120\",\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p12121\",\"attributes\":{\"num_minor_ticks\":0,\"mantissas\":[1,2,5],\"max_interval\":500.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p12122\",\"attributes\":{\"num_minor_ticks\":0,\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"min_interval\":1000.0,\"max_interval\":1800000.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p12123\",\"attributes\":{\"num_minor_ticks\":0,\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"min_interval\":3600000.0,\"max_interval\":43200000.0}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p12124\",\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p12125\",\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p12126\",\"attributes\":{\"days\":[1,8,15,22]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p12127\",\"attributes\":{\"days\":[1,15]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p12128\",\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p12129\",\"attributes\":{\"months\":[0,2,4,6,8,10]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p12130\",\"attributes\":{\"months\":[0,4,8]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p12131\",\"attributes\":{\"months\":[0,6]}},{\"type\":\"object\",\"name\":\"YearsTicker\",\"id\":\"p12132\"}]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p12118\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p12119\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p12159\",\"attributes\":{\"axis\":{\"id\":\"p12117\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p12166\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p12160\"}}}]}},3,0]]}}],\"callbacks\":{\"type\":\"map\"}}};\n", + " const render_items = [{\"docid\":\"8c3fe325-71be-4f99-bf9a-943c9f0fdce6\",\"roots\":{\"p12366\":\"c240b385-0f65-4ae8-ac30-6878cf7a165f\"},\"root_ids\":[\"p12366\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "p1560" + "id": "p12366" } }, "output_type": "display_data" @@ -863,7 +1686,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "502fe9ef-b650-439d-99c1-05c7d50c7dd6", "metadata": {}, @@ -877,7 +1699,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 95, "id": "f9adcbde-35b6-4a61-a12d-4e0bd2ae62fa", "metadata": {}, "outputs": [ @@ -1024,7 +1846,7 @@ "4 NaN NaN NaN 1 0 1 " ] }, - "execution_count": 14, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } @@ -1035,14 +1857,14 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 96, "id": "4530d2e8-2c12-4a05-b3cc-ef2eed90fe5f", "metadata": {}, "outputs": [], "source": [ "cleaned_calendar = raw_calendar.copy()\n", "\n", - "# Temporian and TensorFlow Decision Forests (after) treat NaN values as \"missing\".\n", + "# Temporian and YDF (see later) treat NaN values as \"missing\".\n", "# In this dataset, a NaN means that there is not calendar event on this day.\n", "cleaned_calendar.fillna(\"no_event\", inplace=True)\n", "\n", @@ -1063,7 +1885,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "39ef4a73-8f45-4795-a099-d82bf946f054", "metadata": {}, @@ -1073,7 +1894,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 97, "id": "59b58a95-86e1-4eae-87b7-fe18f95a2d50", "metadata": {}, "outputs": [ @@ -1184,7 +2005,7 @@ "4 1 2011-02-02 " ] }, - "execution_count": 16, + "execution_count": 97, "metadata": {}, "output_type": "execute_result" } @@ -1194,7 +2015,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "98db7450-143b-402a-a1c7-57f8e01574f0", "metadata": {}, @@ -1204,7 +2024,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 98, "id": "e667774f-c040-4006-b214-ae841d9e6d88", "metadata": {}, "outputs": [ @@ -1212,23 +2032,303 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING:root:Feature \"event_name_1\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"event_type_1\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"event_name_2\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"event_type_2\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" + "WARNING:root:Feature \"event_name_1\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"event_type_1\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"event_name_2\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"event_type_2\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" ] }, { "data": { "text/html": [ - "
1 indexes × 7 features (memory usage: 164.6 kB)

Index: ()

1969 events
timestampevent_name_1event_type_1event_name_2event_type_2snap_CAsnap_TXsnap_WI
2011-01-29 00:00:00+00:00no_eventno_eventno_eventno_event000
2011-01-30 00:00:00+00:00no_eventno_eventno_eventno_event000
2011-01-31 00:00:00+00:00no_eventno_eventno_eventno_event000
2011-02-01 00:00:00+00:00no_eventno_eventno_eventno_event110
2011-02-02 00:00:00+00:00no_eventno_eventno_eventno_event101
2011-02-03 00:00:00+00:00no_eventno_eventno_eventno_event111
2011-02-04 00:00:00+00:00no_eventno_eventno_eventno_event100
2011-02-05 00:00:00+00:00no_eventno_eventno_eventno_event111
2011-02-06 00:00:00+00:00SuperBowlSportingno_eventno_event111
2011-02-07 00:00:00+00:00no_eventno_eventno_eventno_event110
2011-02-08 00:00:00+00:00no_eventno_eventno_eventno_event101
2011-02-09 00:00:00+00:00no_eventno_eventno_eventno_event111
2011-02-10 00:00:00+00:00no_eventno_eventno_eventno_event100
2011-02-11 00:00:00+00:00no_eventno_eventno_eventno_event011
2011-02-12 00:00:00+00:00no_eventno_eventno_eventno_event011
2011-02-13 00:00:00+00:00no_eventno_eventno_eventno_event010
2011-02-14 00:00:00+00:00ValentinesDayCulturalno_eventno_event001
2011-02-15 00:00:00+00:00no_eventno_eventno_eventno_event011
2011-02-16 00:00:00+00:00no_eventno_eventno_eventno_event000
2011-02-17 00:00:00+00:00no_eventno_eventno_eventno_event000
……………………
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\n", + "
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\n", + "
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\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + " 2011-01-30 00:00:00+00:00\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + " 2011-01-31 00:00:00+00:00\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-06-17 00:00:00+00:00\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + " 2016-06-18 00:00:00+00:00\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " no_event\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + " 2016-06-19 00:00:00+00:00\n", + " \n", + " NBAFinalsEnd\n", + " \n", + " Sporting\n", + " \n", + " Father's day\n", + " \n", + " Cultural\n", + " \n", + " 0\n", + " \n", + " 0\n", + " \n", + " 0\n", + "
\n", + "
\n" ], "text/plain": [ "indexes: []\n", "features: [('event_name_1', str_), ('event_type_1', str_), ('event_name_2', str_), ('event_type_2', str_), ('snap_CA', int64), ('snap_TX', int64), ('snap_WI', int64)]\n", "events:\n", " (1969 events):\n", - " timestamps: [1.2963e+09 1.2963e+09 1.2964e+09 ... 1.4661e+09 1.4662e+09 1.4663e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-01-30T00:00:00' '2011-01-31T00:00:00' ...\n", + " '2016-06-17T00:00:00' '2016-06-18T00:00:00' '2016-06-19T00:00:00']\n", " 'event_name_1': [b'no_event' b'no_event' b'no_event' ... b'no_event' b'no_event'\n", " b'NBAFinalsEnd']\n", " 'event_type_1': [b'no_event' b'no_event' b'no_event' ... b'no_event' b'no_event'\n", @@ -1240,10 +2340,10 @@ " 'snap_CA': [0 0 0 ... 0 0 0]\n", " 'snap_TX': [0 0 0 ... 0 0 0]\n", " 'snap_WI': [0 0 0 ... 0 0 0]\n", - "memory usage: 164.6 kB" + "memory usage: 117.4 kB" ] }, - "execution_count": 17, + "execution_count": 98, "metadata": {}, "output_type": "execute_result" } @@ -1255,7 +2355,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "3eb96d26-34fa-4eff-91c7-37b8329d40ef", "metadata": {}, @@ -1267,7 +2366,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 99, "id": "1ce4218a-594b-41d6-b7de-418a9414b089", "metadata": {}, "outputs": [ @@ -1347,7 +2446,7 @@ "4 CA_1 HOBBIES_1_001 11329 8.26" ] }, - "execution_count": 18, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -1357,7 +2456,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "cd139685-4a54-4fae-a32e-0ebf079ff1cc", "metadata": {}, @@ -1368,7 +2466,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 100, "id": "6279d6dc-06f7-4c06-b329-40d58ec69144", "metadata": {}, "outputs": [], @@ -1390,7 +2488,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "92fb02e3-5b37-4b79-895c-0cbfa2b9a082", "metadata": {}, @@ -1400,7 +2497,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 101, "id": "f3dc338e-6d84-4be6-aac2-416d1acabd99", "metadata": {}, "outputs": [ @@ -1480,7 +2577,7 @@ "4 CA_1 HOBBIES_1_001 8.26 2013-08-10" ] }, - "execution_count": 20, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -1490,7 +2587,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "38a23ace-df0f-49f2-9f65-20febf5ce33f", "metadata": {}, @@ -1500,7 +2596,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 102, "id": "7fa7a3ed-f033-4e5c-b41f-6cf5fa71bb52", "metadata": {}, "outputs": [ @@ -1508,39 +2604,395 @@ "name": "stderr", "output_type": "stream", "text": [ - "WARNING:root:Feature \"store_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", - "WARNING:root:Feature \"item_id\" is an array of numpy.object_ and was casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" + "WARNING:root:Feature \"store_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n", + "WARNING:root:Feature \"item_id\" is an array of numpy.object_ and will be casted to numpy.string_ (Note: numpy.string_ is equivalent to numpy.bytes_).\n" ] }, { "data": { "text/html": [ - "
30490 indexes × 1 features (memory usage: 119.3 MB)

Index: (store_id=CA_1, item_id=FOODS_1_001)

282 events
timestampsell_price
2011-01-29 00:00:00+00:002
2011-02-05 00:00:00+00:002
2011-02-12 00:00:00+00:002
2011-02-19 00:00:00+00:002
2011-02-26 00:00:00+00:002
2011-03-05 00:00:00+00:002
2011-03-12 00:00:00+00:002
2011-03-19 00:00:00+00:002
2011-03-26 00:00:00+00:002
2011-04-02 00:00:00+00:002
2011-04-09 00:00:00+00:002
2011-04-16 00:00:00+00:002
2011-04-23 00:00:00+00:002
2011-04-30 00:00:00+00:002
2011-05-07 00:00:00+00:002
2011-05-14 00:00:00+00:002
2011-05-21 00:00:00+00:002
2011-05-28 00:00:00+00:002
2011-06-04 00:00:00+00:002
2011-06-11 00:00:00+00:002
……

Index: (store_id=CA_1, item_id=FOODS_1_002)

282 events
timestampsell_price
2011-01-29 00:00:00+00:007.88
2011-02-05 00:00:00+00:007.88
2011-02-12 00:00:00+00:007.88
2011-02-19 00:00:00+00:007.88
2011-02-26 00:00:00+00:007.88
2011-03-05 00:00:00+00:007.88
2011-03-12 00:00:00+00:007.88
2011-03-19 00:00:00+00:007.88
2011-03-26 00:00:00+00:007.88
2011-04-02 00:00:00+00:007.88
2011-04-09 00:00:00+00:007.88
2011-04-16 00:00:00+00:007.88
2011-04-23 00:00:00+00:007.88
2011-04-30 00:00:00+00:007.88
2011-05-07 00:00:00+00:007.88
2011-05-14 00:00:00+00:007.88
2011-05-21 00:00:00+00:007.88
2011-05-28 00:00:00+00:007.88
2011-06-04 00:00:00+00:007.88
2011-06-11 00:00:00+00:007.88
……

Index: (store_id=CA_1, item_id=FOODS_1_003)

282 events
timestampsell_price
2011-01-29 00:00:00+00:002.88
2011-02-05 00:00:00+00:002.88
2011-02-12 00:00:00+00:002.88
2011-02-19 00:00:00+00:002.88
2011-02-26 00:00:00+00:002.88
2011-03-05 00:00:00+00:002.88
2011-03-12 00:00:00+00:002.88
2011-03-19 00:00:00+00:002.88
2011-03-26 00:00:00+00:002.88
2011-04-02 00:00:00+00:002.88
2011-04-09 00:00:00+00:002.88
2011-04-16 00:00:00+00:002.88
2011-04-23 00:00:00+00:002.88
2011-04-30 00:00:00+00:002.88
2011-05-07 00:00:00+00:002.88
2011-05-14 00:00:00+00:002.88
2011-05-21 00:00:00+00:002.88
2011-05-28 00:00:00+00:002.88
2011-06-04 00:00:00+00:002.88
2011-06-11 00:00:00+00:002.88
……

Index: (store_id=CA_1, item_id=FOODS_1_004)

225 events
timestampsell_price
2012-03-03 00:00:00+00:001.78
2012-03-10 00:00:00+00:001.78
2012-03-17 00:00:00+00:001.78
2012-03-24 00:00:00+00:001.78
2012-03-31 00:00:00+00:001.78
2012-04-07 00:00:00+00:001.78
2012-04-14 00:00:00+00:001.78
2012-04-21 00:00:00+00:001.78
2012-04-28 00:00:00+00:001.78
2012-05-05 00:00:00+00:001.78
2012-05-12 00:00:00+00:001.78
2012-05-19 00:00:00+00:001.78
2012-05-26 00:00:00+00:001.78
2012-06-02 00:00:00+00:001.78
2012-06-09 00:00:00+00:001.78
2012-06-16 00:00:00+00:001.78
2012-06-23 00:00:00+00:001.78
2012-06-30 00:00:00+00:001.78
2012-07-07 00:00:00+00:001.78
2012-07-14 00:00:00+00:001.78
……

Index: (store_id=CA_1, item_id=FOODS_1_005)

282 events
timestampsell_price
2011-01-29 00:00:00+00:002.94
2011-02-05 00:00:00+00:002.94
2011-02-12 00:00:00+00:002.94
2011-02-19 00:00:00+00:002.94
2011-02-26 00:00:00+00:002.94
2011-03-05 00:00:00+00:002.94
2011-03-12 00:00:00+00:002.94
2011-03-19 00:00:00+00:002.94
2011-03-26 00:00:00+00:002.94
2011-04-02 00:00:00+00:002.94
2011-04-09 00:00:00+00:002.94
2011-04-16 00:00:00+00:002.94
2011-04-23 00:00:00+00:002.94
2011-04-30 00:00:00+00:002.94
2011-05-07 00:00:00+00:002.94
2011-05-14 00:00:00+00:002.94
2011-05-21 00:00:00+00:002.94
2011-05-28 00:00:00+00:002.94
2011-06-04 00:00:00+00:002.94
2011-06-11 00:00:00+00:002.94
……
… (30485 more indexes not shown)
" + "
\n", + "
\n", + "
\n", + " \n", + " features\n", + " [1]:\n", + " \n", + " sell_price\n", + " (float64)\n", + "
\n", + "
\n", + " \n", + " indexes\n", + " [2]:\n", + " \n", + " store_id\n", + " (str_)\n", + " , \n", + " item_id\n", + " (str_)\n", + "
\n", + "
\n", + " events: \n", + " 6841121\n", + "
\n", + "
\n", + " index values: \n", + " 30490\n", + "
\n", + "
\n", + " memory usage: \n", + " 119.3 MB\n", + "
\n", + "
\n", + "
\n", + " index\n", + " (\n", + " store_id: \n", + " CA_1\n", + " , \n", + " item_id: \n", + " FOODS_1_001\n", + " ) with 282 events\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", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " sell_price\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 2\n", + "
\n", + " 2011-02-05 00:00:00+00:00\n", + " \n", + " 2\n", + "
\n", + " 2011-02-12 00:00:00+00:00\n", + " \n", + " 2\n", + "
\n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-06-04 00:00:00+00:00\n", + " \n", + " 2.24\n", + "
\n", + " 2016-06-11 00:00:00+00:00\n", + " \n", + " 2.24\n", + "
\n", + " 2016-06-18 00:00:00+00:00\n", + " \n", + " 2.24\n", + "
\n", + "
\n", + " index\n", + " (\n", + " store_id: \n", + " CA_1\n", + " , \n", + " item_id: \n", + " FOODS_1_002\n", + " ) with 282 events\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", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " sell_price\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 7.88\n", + "
\n", + " 2011-02-05 00:00:00+00:00\n", + " \n", + " 7.88\n", + "
\n", + " 2011-02-12 00:00:00+00:00\n", + " \n", + " 7.88\n", + "
\n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-06-04 00:00:00+00:00\n", + " \n", + " 9.48\n", + "
\n", + " 2016-06-11 00:00:00+00:00\n", + " \n", + " 9.48\n", + "
\n", + " 2016-06-18 00:00:00+00:00\n", + " \n", + " 9.48\n", + "
\n", + "
\n", + " index\n", + " (\n", + " store_id: \n", + " CA_1\n", + " , \n", + " item_id: \n", + " FOODS_1_003\n", + " ) with 282 events\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", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " sell_price\n", + " \n", + "
\n", + " 2011-01-29 00:00:00+00:00\n", + " \n", + " 2.88\n", + "
\n", + " 2011-02-05 00:00:00+00:00\n", + " \n", + " 2.88\n", + "
\n", + " 2011-02-12 00:00:00+00:00\n", + " \n", + " 2.88\n", + "
\n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-06-04 00:00:00+00:00\n", + " \n", + " 3.23\n", + "
\n", + " 2016-06-11 00:00:00+00:00\n", + " \n", + " 3.23\n", + "
\n", + " 2016-06-18 00:00:00+00:00\n", + " \n", + " 3.23\n", + "
\n", + "
\n", + " index\n", + " (\n", + " store_id: \n", + " CA_1\n", + " , \n", + " item_id: \n", + " FOODS_1_004\n", + " ) with 225 events\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", + " \n", + " \n", + " \n", + " \n", + "
\n", + " \n", + " timestamp\n", + " \n", + " \n", + " \n", + " sell_price\n", + " \n", + "
\n", + " 2012-03-03 00:00:00+00:00\n", + " \n", + " 1.78\n", + "
\n", + " 2012-03-10 00:00:00+00:00\n", + " \n", + " 1.78\n", + "
\n", + " 2012-03-17 00:00:00+00:00\n", + " \n", + " 1.78\n", + "
\n", + " …\n", + " \n", + " …\n", + "
\n", + " 2016-06-04 00:00:00+00:00\n", + " \n", + " 1.96\n", + "
\n", + " 2016-06-11 00:00:00+00:00\n", + " \n", + " 1.96\n", + "
\n", + " 2016-06-18 00:00:00+00:00\n", + " \n", + " 1.96\n", + "
\n", + " … (30486 more indexes not shown)\n", + "
\n" ], "text/plain": [ "indexes: [('store_id', str_), ('item_id', str_)]\n", "features: [('sell_price', float64)]\n", "events:\n", " store_id=b'CA_1' item_id=b'FOODS_1_001' (282 events):\n", - " timestamps: [1.2963e+09 1.2969e+09 1.2975e+09 ... 1.4650e+09 1.4656e+09 1.4662e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-02-05T00:00:00' '2011-02-12T00:00:00' ...\n", + " '2016-06-04T00:00:00' '2016-06-11T00:00:00' '2016-06-18T00:00:00']\n", " 'sell_price': [2. 2. 2. ... 2.24 2.24 2.24]\n", " store_id=b'CA_1' item_id=b'FOODS_1_002' (282 events):\n", - " timestamps: [1.2963e+09 1.2969e+09 1.2975e+09 ... 1.4650e+09 1.4656e+09 1.4662e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-02-05T00:00:00' '2011-02-12T00:00:00' ...\n", + " '2016-06-04T00:00:00' '2016-06-11T00:00:00' '2016-06-18T00:00:00']\n", " 'sell_price': [7.88 7.88 7.88 ... 9.48 9.48 9.48]\n", " store_id=b'CA_1' item_id=b'FOODS_1_003' (282 events):\n", - " timestamps: [1.2963e+09 1.2969e+09 1.2975e+09 ... 1.4650e+09 1.4656e+09 1.4662e+09]\n", + " timestamps: ['2011-01-29T00:00:00' '2011-02-05T00:00:00' '2011-02-12T00:00:00' ...\n", + " '2016-06-04T00:00:00' '2016-06-11T00:00:00' '2016-06-18T00:00:00']\n", " 'sell_price': [2.88 2.88 2.88 ... 3.23 3.23 3.23]\n", " store_id=b'CA_1' item_id=b'FOODS_1_004' (225 events):\n", - " timestamps: [1.3307e+09 1.3313e+09 1.3319e+09 ... 1.4650e+09 1.4656e+09 1.4662e+09]\n", + " timestamps: ['2012-03-03T00:00:00' '2012-03-10T00:00:00' '2012-03-17T00:00:00' ...\n", + " '2016-06-04T00:00:00' '2016-06-11T00:00:00' '2016-06-18T00:00:00']\n", " 'sell_price': [1.78 1.78 1.78 ... 1.96 1.96 1.96]\n", - " store_id=b'CA_1' item_id=b'FOODS_1_005' (282 events):\n", - " timestamps: [1.2963e+09 1.2969e+09 1.2975e+09 ... 1.4650e+09 1.4656e+09 1.4662e+09]\n", - " 'sell_price': [2.94 2.94 2.94 ... 3.54 3.54 3.54]\n", - " ... (showing 5 of 30490 indexes)\n", + " ... (showing 4 of 30490 indexes)\n", "memory usage: 119.3 MB" ] }, - "execution_count": 21, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -1554,7 +3006,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "9ee43d5a-24ea-445e-b14e-05cc7a316fda", "metadata": {}, @@ -1564,7 +3015,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 103, "id": "f2c824aa-7aa4-4ce6-a0cb-17a6d69ef084", "metadata": {}, "outputs": [], @@ -1575,7 +3026,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "3b312c55-5673-49a6-8733-13c376b2c1e7", "metadata": {}, @@ -1588,7 +3038,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 104, "id": "0447be99-3c1c-4fd5-9b25-47a8f3fc9eca", "metadata": {}, "outputs": [ @@ -1608,7 +3058,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "c721f1f9-7885-49c3-bf28-410aeec4fc13", "metadata": {}, @@ -1618,7 +3067,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 105, "id": "396f6d0e-4555-4835-8e84-712a6e892e64", "metadata": {}, "outputs": [], @@ -1637,7 +3086,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "68aef8af-c9e7-4faa-b50c-b5d44abcae29", "metadata": {}, @@ -1647,7 +3095,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 106, "id": "d8cec8ef-62a0-4d99-b46c-a217ae012f9c", "metadata": {}, "outputs": [], @@ -1659,7 +3107,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "f69e7c80-c30f-499b-8c08-b5b4876b0d9d", "metadata": {}, @@ -1671,7 +3118,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 107, "id": "07e74746-76f7-4992-a9c6-2d68d06bbaa2", "metadata": {}, "outputs": [], @@ -1698,7 +3145,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "0fd31e0b-3c98-4d03-b3d7-6b8538b01bfc", "metadata": {}, @@ -1708,7 +3154,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 108, "id": "2fa783ac-4c30-4d0e-9dfa-2dd05c6bd696", "metadata": {}, "outputs": [ @@ -1721,44 +3167,345 @@ }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", "\n", - "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": "(function(root) {\n function embed_document(root) {\n const docs_json = {\"de453ab9-c30d-44ca-bcf4-cf811458adeb\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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* Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "\n", + "
\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function embed_document(root) {\n", + " const docs_json = {\"303bd9e1-3a3f-424e-9e4d-7ea531d54d0d\":{\"version\":\"3.1.1\",\"title\":\"Bokeh Application\",\"defs\":[],\"roots\":[{\"type\":\"object\",\"name\":\"GridPlot\",\"id\":\"p14710\",\"attributes\":{\"rows\":null,\"cols\":null,\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p14709\",\"attributes\":{\"logo\":null,\"tools\":[{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14700\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14219\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14316\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14413\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14510\",\"attributes\":{\"dimensions\":\"width\"}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14701\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14220\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14317\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14414\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p14511\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14702\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14221\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14318\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14415\",\"attributes\":{\"dimensions\":\"width\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14512\",\"attributes\":{\"dimensions\":\"width\"}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14703\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14222\",\"attributes\":{\"dimensions\":\"height\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14319\",\"attributes\":{\"dimensions\":\"height\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14416\",\"attributes\":{\"dimensions\":\"height\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p14513\",\"attributes\":{\"dimensions\":\"height\"}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14704\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p14223\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p14224\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p14320\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p14321\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p14417\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p14418\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p14514\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p14515\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"bottom_units\":\"canvas\",\"top_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14705\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p14225\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p14322\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p14419\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p14516\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14706\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"UndoTool\",\"id\":\"p14226\"},{\"type\":\"object\",\"name\":\"UndoTool\",\"id\":\"p14323\"},{\"type\":\"object\",\"name\":\"UndoTool\",\"id\":\"p14420\"},{\"type\":\"object\",\"name\":\"UndoTool\",\"id\":\"p14517\"}]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p14707\"},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p14708\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p14228\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p14325\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p14422\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p14519\",\"attributes\":{\"renderers\":\"auto\"}}]}}]}},\"toolbar_location\":\"right\",\"children\":[[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p14152\",\"attributes\":{\"height\":150,\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p14151\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:start\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p14540\",\"attributes\":{\"args\":{\"type\":\"map\",\"entries\":[[\"p1_x_range\",{\"id\":\"p14151\"}],[\"p2_x_range\",{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p14249\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:start\",[{\"id\":\"p14540\"}]],[\"change:end\",[{\"id\":\"p14540\"}]]]},\"start\":1420070400000.0,\"end\":1451520000000.0}}],[\"p3_x_range\",{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p14346\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:start\",[{\"id\":\"p14540\"}]],[\"change:end\",[{\"id\":\"p14540\"}]]]},\"start\":1420070400000.0,\"end\":1451520000000.0}}],[\"p4_x_range\",{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p14443\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:start\",[{\"id\":\"p14540\"}]],[\"change:end\",[{\"id\":\"p14540\"}]]]},\"start\":1420070400000.0,\"end\":1451520000000.0}}]]},\"code\":\"\\n 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Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1812,7 +3836,7 @@ "data": { "text/html": [ "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1820,12 +3844,37 @@ }, { "data": { - "application/javascript": "(function(root) {\n function embed_document(root) {\n const docs_json = {\"fe1897c3-a6c9-4bf4-ac00-c8b4a8700605\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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+ " const render_items = [{\"docid\":\"b076b25a-0227-4dfc-9977-324c9ef257c6\",\"roots\":{\"p17210\":\"cbabd62e-d129-4ce7-97d5-8faebe5c10f7\"},\"root_ids\":[\"p17210\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "p4670" + "id": "p17210" } }, "output_type": "display_data" @@ -1836,7 +3885,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "2f9ac1d2-58a5-43a2-932d-8a0d0c4634cb", "metadata": {}, @@ -1848,7 +3896,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 111, "id": "995ea19e-d39a-4f94-a010-6cd130e623c9", "metadata": {}, "outputs": [], @@ -1879,7 +3927,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 112, "id": "70161a5f-9e63-4e01-ab98-c5e4a96f59e1", "metadata": {}, "outputs": [ @@ -1892,8 +3940,285 @@ }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data 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and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1902,7 +4227,7 @@ "data": { "text/html": [ "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1910,12 +4235,37 @@ }, { "data": { - "application/javascript": "(function(root) {\n function embed_document(root) {\n const docs_json = {\"192ae905-6ddc-450a-aa50-788adfe45e29\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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+ " const render_items = [{\"docid\":\"1835120d-8f18-4de1-9327-a0547d79d360\",\"roots\":{\"p19998\":\"d27befaf-6c8b-41e9-89d9-7273320ae0cd\"},\"root_ids\":[\"p19998\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "p6591" + "id": "p19998" } }, "output_type": "display_data" @@ -1926,7 +4276,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "ed0d8bd0-a243-44d8-8d89-34ac9166d18e", "metadata": {}, @@ -1938,7 +4287,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 113, "id": "5e67fff6-d75a-4d04-991c-649e0c5374a7", "metadata": {}, "outputs": [], @@ -1954,14 +4303,291 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 114, "id": "63294d29-6e78-4e01-b098-fcb704065ca3", "metadata": {}, "outputs": [ { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1970,7 +4596,7 @@ "data": { "text/html": [ "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -1978,12 +4604,37 @@ }, { "data": { - "application/javascript": "(function(root) {\n function embed_document(root) {\n const docs_json = {\"97172bdc-7f9c-4349-ae2e-eea385b6ed94\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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is larger than \"options.max_num_plots=3\". Only the first plots will be printed.\n" - ] - }, { "data": { - "image/png": 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", + "image/png": 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LCwuBc8vLy6m99gBARkYGffr0ob5bWVlBTU0N0dHR6Nu3b6vLGh0djR49ekBOTo465ujoKBSvbo+GONjZ2QnMhXF0dERRURFSUlJgbGws8pxZs2Zh06ZN1Pf6k5ZJM3bsaU7cxs7ncDgAAD09PQQEBCAiIgIPHz7EkydP4O7ujmPHjuHWrVtCPRWiUFZWRmhoKIqKiuDj44M1a9bA1NRUrMmimZmZSE1NxbBhwxqMc+/ePezevRsxMTEoKChAVVUVysrKUFJSIpF5SdHR0TA0NIS+vj51TFRbaah+G8LIyAidO3cWSJPP5yM2Nha6uroizxkyZAiOHDlCfVdUVBQIb8u2UptGbVtRVFTEjRs38ObNG/j6+iIwMBBfffUVDh06hICAALHqYunSpZg0aRJCQkIwYsQITJgwAQMGDGgwfkFBAVJTUzFw4ECB4wMHDkRYWJjAsd69e1P/FxcX482bN5g/fz4WLlxIHa+qqmrRPTk6OlrgvgcItxEZGZlm30/69+9PXd/aNPft24fq6mpIS0sLxa9dcVdZWQk/Pz/qN+bs7Ixff/0VQE3PhCR6ICIiIvDJJ59g27ZtGDFihNjnNbeOASAjIwObN2+Gn58fMjMzUV1djZKSEiQnJzd6XlhYGB4/fizQs1RdXd2i+0NHeWa4uLhg165dSEtLg5+fHwYNGgRpaWk4Ozvj6NGjAGrqeMCAAR1qPpbEjKaTJ09KKqmPgqKiIkhLSyM4OFjoR98RhyKbKtPs2bOphtpSVFVVRf7Qag3L6OhoODg4CIVHR0dTcerGFXUDio6OhrW1dZNliY6OBgBqcnEttra2sLW1xbJly7BkyRIMHjwYDx48EOvmKyUlRemzt7dHdHQ0du/eLZbR1NQkxsTERIwdOxZLly7Frl27oKGhAX9/f8yfPx8VFRVtOpnbxsam0WHMwYMHw9vbu1V5KCoqimwrZmZm4HA4iI6OxqeffioUHh0dDXV1dXTq1KlZ7aoxsrOzkZWVJdRWunbtiq5du2LBggXYtGkTLCwscOHCBcybN6/JNEeNGoWkpCTcvHkTd+/exbBhw7B8+XLs3bu3yXOboq6BWbuQwdPTU8jYEWWMSILk5OQmf4PffPMNvvnmmxbnMWTIEBQXF+PZs2fw9fXF2rVrAdQYTZ9//jlycnIQFBSExYsXtzgPAIiKisKwYcOwaNEibN68uVnntqSO3d3dkZ2djUOHDsHY2Bg8Hg+Ojo5CCxbqU1RUhG+//RYTJ04UCqtr/EgSup8ZAwcOBJfLha+vL3x9feHs7AwA6NOnD96/f4/4+Hj4+fm1uo4lTcdZMtGB6Nq1K2RlZREUFEQtZ83NzUVcXBxVsQ4ODqiurkZmZiYGDx7cYFpVVVV4/vw51asUGxuLvLw8dOvWDUDNvK/6y+ibQ7du3fD777+jrKyM+vEEBgYKxWtq6auKiorA97CwMJSWllIP+8DAQCgpKcHQ0LDZZbS3t4eVlRUOHDiA6dOnC/TqhIWFUT0sADBixAhoaGhg3759QkbTtWvX8OrVK+zYsaPJPGvn/7i6ujYYp/bGX1xc3GxNQM0codotgppCWVkZJiYm8PHxEWmgBQcHg8/nY9++fdT1uXjxokAcSbSVlJQUpKWlQU9PD4DotnLz5s1GV2XVNwCTk5ORmppK9WAFBgZCSkpKoGdWXDQ1NTF8+HD88ssvWL16tUBe6enp8PLywpw5c8DhcJrVrhrj0KFDkJKSatTPjImJCRQUFJrVVjp16gR3d3e4u7tj8ODBWLt2Lfbu3QsulwsAAnWpoqICfX19PH78mLrHAMDjx48b7ZHW0dGBvr4+4uPjMWvWLLHL1hDdunXDtWvXBI7VbyP6+vpN3k/qzw0KCgoSStPc3LxBw65r164wNDTEtWvXEBoaSl2Tzp07o3Pnzti3bx8qKipa1dMUGRmJoUOHwt3dvUVzg4Dm1TFQU5+//PILRo8eDaBmDtn79+8F4sjKygqd17NnT8TGxja790cUHeWZIS8vj379+sHPzw8PHjygDGNZWVn0798fx48fR0pKSseazwTQt3ruzz//JFOmTCH9+vUjDg4OAp+PgSVLlhBjY2Pi4+NDwsPDyfjx44mSkpLACrFZs2YRExMTcunSJRIfH0+CgoKIh4cH+eeffwghNXNQZGVlSd++fUlgYCB5/vw56d+/P+nfvz+VhpeXF1FUVCQvXrwgWVlZYs2bQJ0x3cLCQqKlpUVmz55NIiMjyY0bN4iZmVmrV0IoKSmRGTNmUGnq6OiQDRs2NHhOY6vnCKmZM6CgoEAmTJhAgoKCSFJSErl48SIxNDQkAwYMEND9559/EmlpabJw4UISFhZGEhISyLFjx4i6ujqZPHmywNwI/LviMC0tjSQmJpI7d+6QSZMmEWlpaeLl5UXFW7JkCfnuu++Iv78/SUxMJAEBAWTMmDGkU6dO5P37901eEw8PD3Lnzh3y5s0bEhUVRfbu3UtkZGSIp6dnk+fWcurUKSInJ0cOHTpE4uLiSHBwMPnxxx8JITWrvfDvfJU3b96QM2fOkM6dOwvMJXn8+DEBQO7du0eysrIE5g80RN15PNXV1cTa2poMHz6chIaGkocPH5JevXq1evWcoqIicXV1pdK0sLAg06dPb/CcplbPxcXFES0tLTJ48GDy4MEDkpycTLy9vYmtrS0xNzcXmC/TnHZlbGxMvvvuO5KWlkaSk5PJgwcPyMKFC4VW2W3bto2sXbuW+Pr6kvj4eBISEkLmzp1L5OXlqRV2TbFlyxZy9epV8urVKxIREUHGjh1L+vbtSwipmRMkLy9Pdu7cSdLT06mVhgcOHCAqKirk/PnzJCYmhqxfv57IysqSuLg4QkjD82Q8PT2JvLw8OXToEImNjSUvX74kJ06cIPv27WuynPXTTEpKIlwul3z99dckJiaGeHl5EV1d3VavnlNSUiKrV68mMTEx5OzZs0RRUZEcPXq00fNqV8BaWVkJHJ83bx5RVlam5sM0pKUxwsPDSadOncjs2bNJWloa9cnMzBRbV0vq2MHBgQwfPpxERUWRwMBAMnjwYCIvLy8w187c3JwsXbqUpKWlUat/b926RWRkZMj27dtJREQEiYqKIufOnRN7jmRHfGYQUrNyVVlZmSgrKwusBPz222+JsrIyUVRUJBUVFQ1qaQ9oMZoOHTpElJSUyBdffEG4XC5ZvHgxcXV1JaqqquSbb76hI0uJU1hYSGbPnk0UFBSIjo4O+eGHH4QMg4qKCrJ161ZiYmJCZGVliZ6eHvn000/Jy5cvCSEfJu5eunSJmJqaEh6PR1xdXUlSUhKVRllZGZk0aRJRU1NrscuBgIAAYmdnR7hcLrG3tyeXLl2SyPLRrVu3Ek1NTaKkpEQWLlzYqEHXlNFECCEvX74kkyZNIhoaGkRWVpZ07dqVbN68WeTD/+HDh8TNzY2oqKgQLpdLbGxsyN69e0lVVZVAPNRZnisnJ0e6du1K3N3dBZbxEkLIX3/9RUaPHk309PQIl8sl+vr6ZNKkSVRdNcWmTZuImZkZkZOTI+rq6sTR0VHA9YG4HD16lFhaWlLtZcWKFVTY/v37iZ6eHpGXlydubm7kzJkzQg+rJUuWEE1NzRa7HIiNjSWDBg0iXC6XWFhYkFu3bknE5cAvv/xC9PX1iZycHJk8eTJ1sxdFU0YTITWT0d3d3YmOjg6RlZUlhoaGZMWKFSINXHHbVd3l3FwulxgZGZGpU6eS+/fvC8S7f/8+mTRpEjE0NCRcLpfo6OiQkSNHkkePHol9XXbs2EG6detG5OXliYaGBvnkk09IfHw8Fe7p6UkMDQ2JlJSUgMuB7du3k86dOxNZWdkGXQ6I+l17eXkRe3t7wuVyibq6OnFyciKXL19uspyi0rx+/TrlImXw4MHkxIkTrTaali1bRpYsWUJUVFSIuro6+eabbwRefkRRu5Cm1sVELadOnSIAyOLFi5vU0hDbtm0TcguAekv8m6IldRwSEkJ69+5N5OTkiLm5Ofnzzz+FfqPXrl0jZmZmREZGRqA8t27dIgMGDCDy8vJERUWF9O3bl/z2229ilbUjPjMI+eBKZeTIkQLH/fz8CADi5ubWpJa2hvNvISSKlZUVtm3bhhkzZkBZWRlhYWEwNTXF1q1bkZOTw1gHYvU5deoUVq1axe63x8LCwsLCwgBo8dOUnJxMzUeRl5enfFB89tlnYvlNYWFhYWFhYWHpaNC2YW/tVgdGRkbUJLOEhASJLA9mMl5eXg06E7OxsWnv4jGWxpy4PXr0qL2LJ5JHjx41Wm4WFg8PD7GdlDKJJUuWiO2U8WOHfWa0LbQMzy1YsACGhobYtm0bDh8+jLVr12LgwIF4/vw5Jk6ciOPHj0s6S8ZQWFiIjIwMkWGysrLN9qHDIh51N4utT+fOnTvOvkd1KC0txbt37xoMl8RKG5aPm5ycHIG9+uoiLy8v4F+LSWRmZqKgoEBkmIqKCrS1tdu4RPTBPjPaFlqMJj6fDz6fT20Cef78eTx58gTm5uZYvHgxtRyThYWFhYWFheVjgRajiYWFhYWFhYWFadAyp+nWrVvw9/envh8+fBj29vaYOXMmcnNz6ciShYWFhYWFhYVWaOlp6t69O77//nuMHj0a4eHh6N27N7766iv4+vrCysqKkVuu8Pl8pKamQllZWWCPJRYWFhYWFpamIYSgsLAQ+vr6Yu0H2h7Qso1KQkICtUXFpUuXMG7cOHh4eCAkJIRyH880UlNTW7TFCAsLCwsLC8sHUlJSYGBg0N7FEAktRhOXy0VJSQmAmp3b58yZA6BmP6KGVjQ0xLt377B+/Xp4e3ujpKQEZmZmOHnyJLXTNyEE27Ztg6enJ/Ly8jBw4EAcOXIE5ubmVBo5OTlYsWIFrl+/DikpKUyaNAmHDh0SWJb98uVLLF++HM+ePUOnTp2wYsUKrFu3TuxyKisrA6ip7Pp78rSG/Pz8Fu1W3tFhqi6AudqYqgtgrjam6gKYq42puoCmtRUUFMDQ0JB6nnZEaDGaBg0ahDVr1mDgwIF4+vQpLly4AACIi4trlvWYm5uLgQMHYsiQIfD29kanTp3w6tUrqKurU3F++OEH/Pjjjzh9+jS6dOmCLVu2wM3NDVFRUdRmhLNmzUJaWhru3r2LyspKzJs3D4sWLcLZs2cB1FTUiBEj4OrqiqNHjyI8PByff/451NTUsGjRIrHKWjskp6KiIlGjKSsrS6LpdRSYqgtgrjam6gKYq42pugDmamOqLkB8bR15igstRtPPP/+MZcuW4a+//sKRI0coXyDe3t4YOXKk2Ol8//33MDQ0FJgD1aVLF+p/QggOHjyIzZs345NPPgEAnDlzBjo6Orh69SqmT5+O6Oho3Lp1C8+ePaN6p3766SeMHj0ae/fuhb6+Pry8vFBRUYETJ06Ay+XCxsYGoaGh2L9/v9hGE12Ulpa2a/50wVRdAHO1MVUXwFxtTNUFMFcbU3UBzNBGy0wrIyMj/PPPPwgLC8P8+fOp4wcOHMCPP/5Ifd+zZ0+j+7Jdu3YNvXv3xpQpU6CtrQ0HBwd4enpS4QkJCUhPT4erqyt1TFVVFf369UNAQAAAICAgAGpqapTBBACurq6QkpJCUFAQFcfJyUnAf5SbmxtiY2PbfbUfUx2TMVUXwFxtTNUFMFcbU3UBzNXWUXQVllXi1OMEpOeX4V2eZIydjqKtNbTr9HQPD48GvdUCQHx8PDU/6fbt21i6dCm+/PJLnD59GgCQnp4OANDR0RE4T0dHhwpLT08X8v4qIyMDDQ0NgTii0qibR33Ky8tRUFAg8KGDhvL/2GGqLoC52piqC2CuNqbqApirjS5dhBCYbLiBR6+ykPC+GEXlVY3G93wYj+3Xo9B/tw8G7rmPiip+q8vAhDprV6OpKW8HfD4fPXv2hIeHBxwcHLBo0SIsXLgQR48ebaMSNszu3buhqqpKfehaOVdeXk5Luu0NU3UBorV123IL1fyP24/sf63OmABTdQHM1UaXrrT8Mgw008SZgCRs/TsCdyIbN2DeF1fg0bohCNs6AvMGmiD+fVGry8CEOuuYjhD+RU9Pj3JdUEu3bt2QnJwMoGZjYABC++5kZGRQYbq6usjMzBQIr6qqQk5OjkAcUWnUzaM+GzduRH5+PvVJSUlpicQmMTU1pSXd9oapugBhbUXlVSitrEZ20cd9w/gv1RlTYKougLna6NL18m0+xvbQh5uNLhwM1RAU3/AoDwCk5ZXCQF0eqgqy+NShM9b++bLVL35MqLMObTQNHDgQsbGxAsfi4uKocdEuXbpAV1cXPj4+VHhBQQGCgoLg6OgIAHB0dEReXh6Cg4OpOPfv3wefz0e/fv2oOA8fPkRlZSUV5+7du7C0tBRYqVcXHo9HrZST9Iq5utQaiEyDqboAYW0JWcUAgOziivYojsT4L9UZU2CqLoC52ujS9fJtHnoYqGJyLwOsHm6B90XlKC6vEjniU80n4HA41Cq2HgZqmNzLAH8+b13nABPqrEMbTatXr0ZgYCA8PDzw+vVrnD17Fr/99huWL18OoGZZ4qpVq7Bz505cu3YN4eHhmDNnDvT19TFhwgQANT1TI0eOxMKFC/H06VM8fvwYX3zxBaZPnw59fX0AwMyZM8HlcjF//nxERkbiwoULOHToENasWdNe0imqqhofd/5YYaouQFhbQPx7DDbXwrWwVPTacRcFZZUNnNmx+S/VGVNgqi6Audro0hWXUQQLnRr/RxwOB1V8Apttt/FX8FuBeLu9o2H/7R0YayoIHJ/ZzwgbLodjy9WIFpeBEXVG2hElJSXy5s2bRuNcv36d2NraEh6PR6ysrMhvv/0mEM7n88mWLVuIjo4O4fF4ZNiwYSQ2NlYgTnZ2NpkxYwZRUlIiKioqZN68eaSwsFAgTlhYGBk0aBDh8Xikc+fOZM+ePc3Skp+fTwCQ/Pz8Zp3XFKWlpRJNr6PAVF2ECGoLePOeGK//h0S+yyfG6/8hxuv/IaceJ7Rf4VrBf6XOmARTdRHCXG106OLz+WTuiSCBY9lF5eRFci6Zf+qpwPHPjgeRz08+JSf944XSiUkrIAtOP2txOZrSRtdzVJK0q9E0atQokpqa2p5FkBh0VXZkZKRE0+soMFUXIYLavveOJjdf1rTx7KJy8tuDN2TRmWckOCmnvYrXYv4rdcYkmKqLkPbVVl3NJzde0vPsokNX4vsisvVquMiwuSeCSHllNZn+awC58CyZbL4STvh8PuHz+SLjzzv5VORxcWhK28dgNNHi3BIAqqurceXKFURHRwOoGSabMGECZGQ+ZHnz5k26smcMfH7rl3l2RJiqC/igLaOgDI9evceXw2q29NFQ5GKhkyl+3fkGE395gqffDIO2ihytZamo4oPDAWSlWz8S/7HW2ZoLobDSU8Yip64NxvlYtTUFU3UB7aftn5epCHiTDa+gZEzqaYB9U+0ajJueX4adN6JgqKGAr0dYQlqqaU/XdOgKf5cP286ity9RU+Dif7djEJyUi4D4bAR9M6xRj9xcaSnkl1aCJyMFOVnpZpWDCe2RQ0gT6/5bQGRkJMaPH4/09HRYWloCqJnA3alTJ1y/fh22traSzrLdKSgogKqqKvLz8yU6KbyyshKysrISS6+jwFRdQI02GRkZjDr0CNb6Ktg/1V4ozrmnyVCTl8Wo7nq0luX802Sk5Zdh9XALobD8kkpISQHKcuLVw8dYZ3w+wQzPQGQWluPzQV3wWX/RzvU+Rm3iwFRdQPtp++x4ECx0lDHSVhf778TB0703lHiC/Q98PsGdqAzEphfCWl8FL5Jz8YvfGyTuGdNk+nTo2uMdg0/s9dFNT/jZlPi+GC57/eD7tQt0VHhQ4Dbel3L1xTs8evUeHA6wd0rDBqMomtJG13NUktAyEXzBggWwsbHB27dvERISgpCQEKSkpKBHjx7tvi3Jx0b91YNMgam6gBpt7/JK0cdEQ6TBBADWeiqISS+kvSxvsopw/lkyxv70CHejMlBWWU2FLfz9OXbdiBY7rY+xzi48T4GGIhdHZ/fCCf8E5JWIXsH4MWoTB6bqAtpHW2peKfRU5bBlrDX6mGjA2bITvveOQcS7fIF492MysetmFA77vUYfE3WsdbPEIDOtJn0TAvToepVRCHNtJZFhJlqKOP15X3TRUmzSYAIAF8tOKCyrxI5Pmt/5wYT2SIvRFBoait27dwss11dXV8euXbvw4sULOrL8T1HNJ9h9M1qsHyBL+xCbXggL3YZ36jbXUcKrTPqNpuScEpyY2wcR7wqw8MxzWG25RYWl5pWCJ9OhF9C2mvsxmTg43R6WusrY9aktFp0JBv8jdzLK0n5cefEObjYffPdN6WWA3wOTsPavlzj5OIG6J9+OTMf5RY54+s0wqClwweFw0FlNHpmFbe+rLauwHFwZKcg0MkTvbNFJ7PTUFLj4bU5vyHObNzTHFGi5Y1pYWAg5iwSAzMxMmJmZ0ZElY6kd3qxLTnEFfn0Yjy4bP945YaJ0MQVLS0vEZhTCUqdho0mBK4PSiuoGwyVBZTUfZZV82OirIuibYXi+2RUTe3aG58N45JVUgCcjhdMBSYjPEs/Tb/064/MJjvsnICm7mI7iS4Sqaj54MjU39wFdteBkoYU7UcL3Jqa2R6bqAtpeW35JJZ4l5mCo1YdtuTSVePD72gXnF/VHTFohxv/8GG+yipBeUIbOavJQU/iwn6lNZxVEpYrebutdXimy/jWoJK0rOq0AfUw0JJpmS2FCe6TFaNq9eze+/PJL/PXXX3j79i3evn2Lv/76C6tWrcL3339P+35tTEJUd2Z2cTk+sa/xMZX7kTpMZEI3bUPExsYiLr1xowkA5GSlUVJBn98Sn+gMDDLTAgDoqMhBS4mH/022Q3RaAey/u4ueRuq4u9oJvz6IFyu9unV24VkyTL+5ifC3eTj1JJGO4rea9PwydFLmCRxbMNgUZwIShXqbmNoemaoLaHttv/i9xvQ+RkKTpE20FKEqL4vvJ/fA6O562HgpXOTcObNOSnhT7wUlp7gCY358hIF77qPPrnsISc6VuK6Y9AJY6TV+L2ormNAeaVk9N3bsWADA1KlTqQZW2205btw46juHw0F1Nb1v20wkp6gC3TurwqyTEhKyi6GuyG36JJY2JbekEqoKjU/mdDBSQ2hyHgb8a9i0lPzSSvD5RKgdXHz+FgfqzamSluJg31Q77Pq0OwBAniuNkspqvM0tgYG6oDO7higqr8L6S+E4u7AfBnTVgvuJp60qP13EZ31w5leLnKw0cksqsfDMcxyf26edSsbysVFZzcevD+PxeteoRuMNNNPE97di8PNMB6Ewa30V7PaOgZ2hGgzU5RHxrgCnniSge2dVnJjbB7HphZjpGYhfx31YHFJWWd3sFWr1CUnKw+Re9OyN+l+EFqPJ19eXjmT/k4jqznxfXAEtJR7Kq6qpLt2PDSZ00zaEorYRdFUSm4xnoK6AtPwysdIMTspBXkklhnXTETieX1qJwd/fR0FZFWb0NYTHp93B4XBQWc1HaUW1SMONw+EIzEeY0ccQf4emYvmQxofOa+ss/G0+No6ywoCuNcaemoIs8koqBIYi2hs+n+B0QCI+628iFPbbZ72w7q+XAseY2h4b0xWZmg85WWl07SR6gnBHpy3r7I/AJEzuZdDovCAA6N5ZFf+b3EOohxOomQt0cLo9hu17QB0783lfOP07n0hHRQ4Hp9njTW4JBlbzIS3FgdWWW4jZMbLFhlNlNR/5pZXQ6CAv1kz4ndFiNDk7O9OR7H+S2NhYIRcNOUXlMO2khOp/l7UOs9Ju8sfc0RCliyn4hsSgh6FOk/E6KfNwMzwNI211ochr+KdYVF6FDZfCYaihgMevs7F13IdNrO9FZWBmP2N8NcIC316PRFBCDvqbauK3h/HQUBLvRtm3iwZ+fRiP5UMaj1dbZxefp2CJ8wefRz0M1PDybT518+8I/PYoHspysuhnKjyXw1BDAQpcaVRV86nfDVPboyhdZZXVKCyrwsrzobDSVcbPM3vSln9pRTVuRabhUwcDiafdlnX2IjkP331i02Q8DoeDKb0b7tXp2kkJwZtdUV7FR2J2MfXiUctQKx3YbruFIw8TMNq2ZsJ5YnYxrHRbtvz+bW5phxmaA5jxO6PtSfvo0SPMnj0bAwYMwLt37wAAv//+O/z9/enKkpFISQlXUXZxBTSVuOhloo5zT5PxNLHx3ao7IqJ0MYW8coJOSsJvmvXpaaSOk48TYbPtNhLeC0+mjkkvwJC9fvB/lYVpfQxxYm4fvM0tQWFZJar5BLOPBWHPrRh8MdQMstJSGNtDHxeepfzrRyVLaGiuIWSkpdBJmYed/0Q12nMpJSWFyNR88GSkYFlnZaC9oSrCUvLEyqutiEwtwNZx1g069bTSUxZw+dCe7TE+qwiFNO1HWF9XWWU1Zh8LwvKzIZDiACU0L0aISM3H6gthtKTdVnVGCEF+aaXEelI1lXjQV5MXMpgAgCsjhYW9NfDzDAcEJeRgsLkW3mS2fKHF88QcdNFSbE1xJQoT7vu0KLh06RLc3NwgLy+PkJAQlJfX3Ijz8/Ph4eFBR5aMxdTUVOhYdnEFNBV5UJGTxY8zHLD9WmQ7lKx1iNLFFEqkFGGo0fT8IGkpDs4u7IeD0+xx/lkySM22Rjjhn4CTjxPg+TABs/sbY8kfIXCxrFmxM9xaBz7RmfCOSENmYRlG2epSjvXsDNRw5cU7bLoSjt0Te4DbDHcCEx0645h/AvrsuofXmUV48vq9UBxTU1OEpeTDtd4QoY2+KsLe5omdV1tQUFoJlUacdtobqmPNxVDqe3u1x6zCcsz0DML+u3G0pF9fV0hyLoZ108Gh6fbY8Ykt1BRk8TpTvNWTLeFmeBoUufQseGirOot/XwzTTm1neKwYZY9+ppq4tcoJa4ZbtLh+olILsPavl3Cx0G46chvBhPs+LUbTzp07cfToUXh6egp4/xw4cCBCQkLoyJKxvH79WuhYTlEFNUY93k5f7Am8HQlRuphAfmkl/gpOEZqA3BADumphgkNnxKUXYteNaLjuf4CghGx4R6Qjs7AM8wd1QcS3bjD71zGdm60uboSn4UrIO1xeNhDf1XEwJ8+VRuKeMYj8bmSz3y4HmGkhYfdofPeJDVz3P8DMY0FCfsBev36NlNwSGGjICxyXk5UGIegw/o9uhqdBt4ntaRy7aiIu48PDqD3aIyEEa/8Kw6Yx3ZBdVAHv8DSJ51Ff1/WwVAy31oGeqjz6mWrC3dEEp2la/XjcPwHRaQVwH2BCiyPXtqgz7/A0jPvJH/26tN2S/bq6zHWUceBeHPZ4xzQ7neP+Cfh7+UAYaXac5wMT7vu0GE2xsbFwcnISOq6qqoq8vLwWp7tnzx5wOBysWrWKOubi4gIOhyPwWbJkicB5ycnJGDNmDBQUFKCtrY21a9eiqkrwzcfPzw89e/YEj8eDmZkZTp061eJySpK6e/XVUlnNF+hFkJeVxuWQt21ZrFYjShcTiEotwARrNbH2mKqLPFcaj99kw85ADbs+7Y4pvQwwd4AJAAhs0aAiJ4ug+GxoKnGFtm5oLRwOB3McTTCpZ838k8TsEgS8ycbj1++RU1wBGRkZpOSUwFCEkd5ZXR7v8kqblV9BWSX23ZH8EuRjj+KxxKXhfeaAmms60kaXGhZrj/aYml+GwPhsDLXSxt4pdrj4PAU5EnYhUldXWWU10vPLKAMcAHoYqCKzsAxp+c2rO3F4EJeFcwv7o6eROkKT8ySePt11RgiBV1Aygr4ZhhHWuk2fICHq6lLiyeDVrlHwi83E0j+CxU6DEIL3ReWwM1SjoYQthwn3fVqMJl1dXZEWpb+/f4u75549e4Zff/0VPXr0EApbuHAh0tLSqM8PP/xAhVVXV2PMmDGoqKjAkydPcPr0aZw6dQpbt26l4iQkJGDMmDEYMmQIQkNDsWrVKixYsAC3b99uUVkliZGRUZNxPCZ2x+mAJBy8R08XPx2Io+tjJDWvFD1Mm7+f3DIXM6wZboH90+yhpcTDlN6GQivlajm/yBGbxliLDJMEm8Z0w+Yx3TBkrx9+e/gGs44FoeeOu1hxMx2B8dkiJ62b6ygjLqN5vQkR7/Lx0/3XiEzNbzryvxSXV2HGb4ENhpdWVENHRU6snrZP7PUpH1Xt0R5fZRRiw0grKPJkwJWRwpge+nj0KkuieRgZGaGsshomG26g29ZbQpP1ORwOVg6zwDeXwyW6w8DLt3kwUJcHh8PBIHMt3IpIR1W1ZDdrpbvOPG5Gw8lCC8pyspBq5ktQa6ivS1ZaCtvH2yD8XT4yC8vEqqf498Udai5TLUy479NiNC1cuBArV65EUFAQOBwOUlNT4eXlha+//hpLly5tdnpFRUWYNWsWPD09BbZmqUVBQQG6urrUp+5Gf3fu3EFUVBT++OMP2NvbY9SoUdixYwcOHz6Mioqat7qjR4+iS5cu2LdvH7p164YvvvgCkydPxoEDB1p+ESREfHzTjgdV5WXx52JHPEvM6dDemesijq6PkfdF5ajIF54P1BS2nVUx3LrpFXdAjb8XVXn6NirVUORiwWBT9DFRR/i7fJxd0A9/LnHEThcNPNvkKvIcC20lgeEucYhOK8SOCbbNGh4KeJON0JS8Bo2LiNR8WIvYlFQUI2x0kV1cjvsxGe3SHt9kFaNrnV4fJ3MtPIxruu00x7iJj4/H29yaXiSvBf0wo6/wQ8taXwWWuioISc4VO92muBT8Fp8P7AKgZvi2t4m6xIfo6Kwz35hMZBSUY5FT4z2WdCBKV39TTeye2B3OP/jhq4tNT6x//Po95di2I8GE+z4tRtOGDRswc+ZMDBs2DEVFRXBycsKCBQuwePFirFixotnpLV++HGPGjIGrq+gbtpeXF7S0tGBra4uNGzeipKSECgsICED37t2ho/PhgeTm5oaCggJERkZSceqn7ebmhoCAgGaXVdLweIKrsCqq+CJXBHFlpDCuhz4iG3DT39Gor4spZBdXQFtFvumIHwEn5vbBhlHdMMBMC31MNKChLC/kDbkWixb0NAW8eY9P7PWRVViOSjF7IR6+ysKFxf3hFZjcQJrZ6N9VU6y0pKU4WOVqgethae3SHoOTcmBax0eStooc3hcJr158/Po9Vl8IBSEE5VXVGP2jPy4+SxErDx6Ph+ScYuz4xAYDumo16O9nnJ0e7kVntkyICJJzStC1zuTpPiYaeCbhVb7i1JlfbGazhzwrq/n4xe81vp8kPKrRFjSky85QDaWV1bj84h2Ckxq/loHx2SLdbbQ3TLjv02I0cTgcbNq0CTk5OYiIiEBgYCCysrKwY8eOZqd1/vx5hISEYPfu3SLDZ86ciT/++AO+vr7YuHEjfv/9d8yePZsKT09PFzCYAFDf09PTG41TUFCA0lLRY/3l5eUC28HQtSWMrq7gWHrOv+4GRDHUShvnniZ/FBv51tfFFN4XlcPCuPnDcx0RZTlZTO71wb9OY3WmrshFfmnTy+azCsux9e8I3IpIh7GmIlTkZGGtr4JYMXshUnJK0L2zKqr4fJH5haXkwc5ATay0gBqHgoVllVBWb5u38pKKKrj8zxc/+bwCh8OBvqrghHV9NXlYb72FmPSa+0lseiG2/h2Biio+roa+g+XmW3ibW4JrYaliuSnQ1dXF+acp6GfauCFppauC0OQ8FJW3fpXbmouhMO2kJGBg9zRWR3CS5HqyANHtkc8n1MrPCYcf45vL4fj81DMc908AIF4vXVB8DlwstdttQ9qGfmcqcrJ4tWsUQrcOp/SI4lZEOm6Gp0O5kdWj7QUT7vu0Ok3gcrmwtrZG3759oaTUfK+zKSkpWLlyJby8vCAnJ3o1zKJFi+Dm5obu3btj1qxZOHPmDK5cuYI3b960tviNsnv3bqiqqlIfQ0N63NQnJSUJfH9fVA7NBnwAaavIwUZfFQFvsmkpS2NUVPGbZazV18UUCkqrkJvxrr2LQQtN1ZkUB6huZAUdIQQeN6OhocjFkj+CMbNfzVBR986qGPuTP9b9FYZjj+KRX1IpMp3a9sXhcDDOTh+nnySiqLwKxx7Fo6qaj4oqPjgcNMvVAlCzw/v1Z6+adU5L+e1hPGb3N4Z3RDo2jLQS6rlbPqQrNJW4iE6rMZr2343Fl8PMsetTW3g+TICNvgpCt46Ak4UWAuOb7rlJSExEeRW/ydWc0lIcrBhqhs9PPmuV4cTnE2QVlmPLWME5d6rysigsq2r1C93ThBws9wpBQVmlyPb4IiUPs48Hoc+ue1DiyeDJxmH4YXIPeD6Mx8XnKeiy8SaC4rPhG5uJ4KQcIcObEIKlXsFws2m/h3tjvzNZaSmoKXBxMzy9QZ9q/7xMRdjWEXQVr1Uw4b4vsansEydOFDvu5cuXxYoXHByMzMxM9Oz5wWNtdXU1Hj58iJ9//hnl5eWQlhZ8G+jXrx+AmqWNXbt2ha6uLp4+FdwbKyOjZpfzWqtXV1eXOlY3joqKCuTlRQ+1bNy4EWvWrKG+FxQU0GI41c//fVE5tBrx9DxvoAn2eMe0ej+z5rDbOxpnniShtLIaARuHQk+16eGphq5rc6ndw7AjUM0nqKjmQ0Gh4yzxlSRN1ZmxpiLC3uahp5HwvEMAePImG9nFFdg3xQ4z+xlBW7nmRahvF038MKkH1l16CR0VHnbeiMbGUVZY7Cw4nySzsBy6//bMuNnoYvLRJ9h/Nw7KPBk4dtWEAlcGRhrNn/w60lYPa88lY2Gzz2w+YSl58JzTGwsGi14QY6CugGNz+sDt4EPceJmG4KRcHJnVC1JSHNxcOZhq7+Ps9LH3dhyGWWk3Okk5Npegj4no+qjPADMtJOWUYP2llzjcQi/h4e/y0cNAVWSYiaYCkrJLYNLCCcrp+WX40ecV/F+/R09jdbjo1bTHgrJKhCbnYbC5Fl5lFOKXWT2x5I8Q+HxVszOFhY4yLizujwWnn2Niz86Y9lsghlvroLKaD7/YLJxf1B/9/+2JC3+Xj9n9jQVWGLY14twbvx5hgeScEpHbtRSXVzW572V7Ian7fnsiMaNJVfXDD4UQgitXrkBVVRW9e/cGUGMA5eXlNcu4GjZsGMLDwwWOzZs3D1ZWVli/fr2QwQQAoaGhAAA9vZohEkdHR+zatQuZmZnQ1q5x8nX37l2oqKjA2tqainPz5k2BdO7evQtHR8cGy8bj8dpkfFZLS9D4yS6qcWzZEDoqcoh4l48T/glwH2DS7KXvzSWvpAKXgt9i3kATGGsq4GZ4OvJLKjCjn1GjxlN9Xc2lsKwSP/q8QmB8Dq59MbBDGE6hKXmwN1BttbaOSlO65g00wf67cUJG027vaMRnFUNeVhrbxllDSopDGUxAzcTzqX0M4WqtA3UFWfwZ/BbxWcW4F5UBPbWa3lOg5vrW7pMmJyuNXz/rDVkpDsLe5uNFch60lXno0gInhJ2UeSBSsqisFj1fUFKUV1VDWkqqyS2PLHSU8GjdEKy+EIrbq5wEjKLadq6rIod70RlYf+klto23Eel+YvnZENyJTMeDtU3sj1OHab0NcS8qo+mIDeAXm4UhlqKdKfbpooF70RkNGowN4R2ehisv3uFOVAYuLnbEzzMdsPlqBCZ374qswnKsvhCKpJxipOSUYoK9PlYMMxfar81YUxF319QYUfvreMq/FZGOR6+y0N9UE3klFXiakIPexuIZmXQhzv3DUlcFUan56FWvrHklFbQuEmktTLg3SuwOcfLkSeqjo6ODqVOnIiEhAZcvX8bly5cRHx+P6dOnN+uiKSsrw9bWVuCjqKgITU1N2Nra4s2bN9ixYweCg4ORmJiIa9euYc6cOXBycqJcE4wYMQLW1tb47LPPEBYWhtu3b2Pz5s1Yvnw5ZfQsWbIE8fHxWLduHWJiYvDLL7/g4sWLWL16taQuT4tJSRGc8Jld3HhPEwBsHG2F7/6JwuxjQY0Ol0iCZ4m5WDnMHOtGWmFsD30cvBeHH++/xqkmVkTV19UcXr7NQ/ftd+D5KAHh7/LhI8EJrK3haUIOBphptUpbR6YpXQbqCigorRTw/hwYn43k7Jo3Yr/YTJhoNmzUaChyweFwMMG+M25HpmPBmeeY+MsTKvzisxRM7PlhjlVnNXloq8jBwUgNL5Lz8DQhp8VOCPXlqxHxTnzXBy3h5dt82BuK7oWpC4fDgaGGAv5aOgDaDTjp5HA4CN06HAPNtLDy3Auh8DdZRVDiyuDydEPoq4n/di8lxUHtHSMyNR9ng5JFbvHTEGFv8xr0DeRmowu/WPFdKhBSM9R35MEbDDbXQtR3bujbRQNqClxU8wlCYhKw7q8wVPMJ7q52xqWljrA3VIOplqLYG9wOMtfCq4wilFVWY9qvgdh/Nw5929CRpSjEuX84dtXE49fC0zCiUguol4yOCBPujbS8Vp04cQJff/21QE+QtLQ01qxZgxMnTkgsHy6Xi3v37mHEiBGwsrLCV199hUmTJuH69esC+f7zzz+QlpaGo6MjZs+ejTlz5uC7776j4nTp0gU3btzA3bt3YWdnh3379uHYsWNwc3OTWFlbSv25YO+LGp4IXstQKx3Ee4xGQHw2hu9/0Gjc1hIUn01NMlXkySB483DEe4xucmJvS+a41XLxeQoOTbdH4p4xWOxsKtGl0q3hTVYRzLSVWqWtIyOOrsHmnfCkzs389JNEfDveBh6fdkfo1hFi9XxyZaRwdflAPN/siuHWOljmFQyTDTegrSIncrd2LSUeXmUWwicmE+YtHFax0VdBVBq9K0+fJuSgbxfxVvaJA4fDwQSHzlCWkxFwLHrE7w1GH3qE2f2Noazc/M1apTgcpOSU4MyTJGy6Go5lXiF4IcZvLKOgDMpyMg321slKS6GaTzDy4MNG5za9SM6FyYYb6LLxJjZdCYfHp93xmaMJFLgfetPcB5jAJ7FmTs+5Rf0hJyuNXsYamDuwS7N6nZV4MrgTlQGrLbfgZKGFi4sd230CtTi/MyWeDMqqqoWuY1p+WbOM5LaGCfdGWtxzVlVVISYmBpaWlgLHY2JiwOe3zsGZn58f9b+hoSEePGjaKDA2NhYafquPi4sLXrwQfmNrb+r6nAL+XT3XyPBcLVJSHCTuGYM1F0JrvDiLsRdacwhLyUNqXileZRbBrM6y6dpJuAWllTDZcAOJe8aIPL++LnGpqOLjbW4pdk7oDABYM9wCc44/beKstqGmbriQqmiZto6OOHU2xFIbB+7FwdVaB3w+QUlFNdVb0hwHgbVDDKNs9bD8bAi8Vw6mhuZEsdS5K54m5rR4mHawpS6W/RWLIZbatD10XiTnYf6gLhJPd2ofQ2z7OwLH3PsAAG6Ep+K3Ob3R3UAVOTnN35B3hI0OBv/gC10VOcR7jEZWUTmW/B6MS0sHNHp9H8RmNelrbM0ICyz9Ixi7vWOw3MVMYO4Nn08Qm1GInTeiYW+ohtCUPHRWl4dtZ+Gek35dNPDj3SqMd2j9PNKE3aORVVgORZ6MSMetbY2490YdZTlkFZVTQ93778TW9PLP60Nn8VpFS+/7HQlaeprmzZuH+fPnY//+/fD394e/vz/27duHBQsWYN68eXRkyVhSU1MFvueVVEKlGWPWcweaYJlXCCLe5Utsb7DKaj62XYvEhecpUOBKi3wYfj3CEg5Gag32ONXXJS7PEnPQx+RD9zlPRhopOSXwf9V8h5KSpHaz3VpnrkxEHF1GmgqoqObj3b8GtYVO694sx/TQw8vtI9BNT6XRVXGjuuth2zibFudTmJMJ005K+PzUM1pcdqTnl0GBKy32sFFzGNBVC7qqcnidWYiqaj50VeTg/K/n75a0xSm9DJCwezQCNg4Fh1Mz/2ycnT6GH3jY6Hkx6YVNOhbtY6KBG18Oxs3wNPwemEgdf5Gci/mnn2HpH8GIeJePP5c44taqwVg1zEJkOhwOB98MVMV0Ec46mwuHw4G2ilyHMJgA8evMprMK7v47/4wQgpfv8vHbZ73QoxkuN9oaJtwbaTGa9u7di3Xr1mHfvn1wcnKCk5MT9u/fj7Vr1+J///sfHVkylvqWOSGkWZO7exioYbydPmZ4BuLH+5JZVh2XUQjHrpr4dryNSA/DQM1KnJ9n9mwwz5a+cdwMT8O4HvoCx/ZPs8fs40E4GyTa4WFbUOM/q6YHkAlvU6IQV9esvka4FPwWAW/eU6uSWpVvGwyXqKio4KcZDnCx1Bbbn9Cg7++Lnf75Z8mY3ocetyQAMLW3If4MfotnibkCfqpa0hbr7uNZy7yBXdCviwaei3BQmVFQhhXnXiAiNR/GjcxZq0VHRQ7nFvbH+6Iap5OZBWXwuBkN286qOLuwP9YMt4CstBSsdFUaXQX2X/+dTetjiL9fpOJBXBam/RaIPiYaGGGjK3IIu6PAhDqjxWiSkpLCunXr8O7dO+Tl5SEvLw/v3r3DunXrBOY5PX78GOXlon1NsNRQf/l6S0YfFjqZ4uW2EYhOKxDpcbi5vHybDzsDVRhrKgrtZVWXzmryKK+sFukJuCXL8gkhSM4pEdq1u7+pJl5uH4E/g1NQWtH84YjWUlXNx7mnyTD9d+UWU10OiKurv6kmghKy8eRNtkSMpragVtvs/kY4+7Rp4/tmeBre5paKNXn8dmTNnn2OYnoqbwndO6viVUYR7sdkYLjNhyEySbbFOY4muPAsherdAIDDvq/Rz8MHMlIcxGUUiv1Cp6Ygi9ySGqPpTlQG5g/qgq9GWEJfTV7I1URD/Nd/ZzwZaWwdZw33E0+xdaw1lg8xo7lkrYcJdUarc0ugxrJsyLocNWoU3r1jpiNASVHrtby1cDgcfNbfBL8HtN652Mu3eWJ3AS8bYoalfwQjs7BM4HitrqzCcpx6nICg+OwmneqFJOfCvoGVOSpysujbRUOgy7+tCHubh7134mCoXnNDkFSddTTE1SUlxcEQS21EvMvvMEMeTVGrrXYFYG4TW288iM3CIidTfH8rpsm0/whMwsm5fWl1i8HhcMCVlsLThByYa3+Y/C3Jtmiho4QXKXlYeOY5gJoe54dxWbi72gn7ptjBe+VgsdNS4skg4l0+qqr58H/1HoPMG375aoj/+u8MqFnA8Pv8viLnfXVEmFBntBtNjfExbPfR3tTdoLiiig8ZqZZXWT9TjVYvqyaE4G1uKfRURS+Frk9PI3WsdbMU2oi0VtfVF++w40Y0Vpx7gWH7/Bp9WHmHp2N094a3KPlyqDn+CEwWex8zSRGXUYQJ9vrUUmVRm0ozgeboWjDYFL5rXegrjISpq21MDz18diKowbg5xRV4X1SOjaOswJORQlllw72b2UXl6KTEa5MtOeYNNEFheZVAb48k2yKHw8G9Nc6Y3d8Iie+LcSnkLVYPt4C5jjKkpDhiObWtm9bcASbYfj0S1YSI9DPVFOzvrOY6Dm6BwdleMKHO2tVoYmkaWdkPY/q5JRVQb8V4tay0FJTlZJrc7LEx4t8Xo4uWYrPemj+x74w/n6fgs+NBlKEsKyuLiio+7sdkIvq7kXiyYSim9zGCT0zDPpdiMwphpdvwEmpFngzmOBrjJ5+22RKjltj0QqxytYDOv6vE6tYZk2iuLp5M++zd1RLqavvUwQCG6goIS8kTipdbXIGf7r/CxJ4G4HA4KK2sxuoLoQ2m+/Jtwx6yJU0/U03c/8pF4BgdbXGEtS5G//gIng/jG/T+Lg7T+xrBNyYLW8ZYNx1ZBOzv7OODCdpYo6mDk5n5wYioXdLeGr4Z0w3/ux3b4t6Yqy/eYVAzt2iRk5XGrk+7IzqtEJ+feobsonLsuxOH7ttvY6iVNrgyNV6SZ/UzwtmgJGz9O0Lo7f39v0trmzLW5g4wwTH/BPg2YnxJmsTsYhjXmWdVt86YBFN1AcLavhndDfNOPcPVFx+mD/zzMhWfn34GQ3UFjPh33tBx9z6orG64x9z/9fsmN8ulEzrqbLC5Fu6sdkLktyObvc9fXWSlpfB4w1ChOYriwtT2yFRdADO0sUZTB0dT88MNN7e4dT1NAKCtLAcni054liC6tykkORf77sTCZMMNvM4sRGRqPh6/fo/QlDzcDE/Di+S8Rid/N4SZthKeb3ZF3y6aOHAvDlHZVdg7xQ5Te39YUaStIocfJveAjoocTj5OpI5fC0vF5CNP0E2vaUd9MtJS2DvFDvNOPUO3LbdoHwIuq6wGV1pKwJirW2dMgqm6AGFthhoKeLbJFZdC3lLHrr5IhYqcLOY4GlMOHOVkpUEIafAl5HVmUaO9o3RDR51xOBwYqCu0yZBjYzC1PTJVF8AMbe06S7Mj7Bf2MZFdXAENxdZ3b/brogH/V9kiN/W9HPIW6fnl2D/VDqsuhCKjoBxZheXoYaAKaz0V7J7YvVW+Zqb1MUTPHXdxbJolXO30hcLNtJVhoK6AFf9uDUEIwZf//l9/n6WGqF3FNt5OHwnvi2HaiFPE1hKV1rG3LWBpOdJSHGgocpFfWgllngwqqvk483lfoXjaKjyM+8kffy0dIDA3p6qaD66MFHufY2FhEBLvaSKEIDk5GWVlZWLFZWmc7OwPW1LkllRAQwxv4E3RvbMawt/liQxLySmF55xemNjTAFeWDcTfywcicc8YdFLiIf59cas9i9f6EFEhJQ3GkZOV/tebdBWm/RYIOwNVxHuMhoOY8ycstJXh+7UL5g6sGaqjk9DkPNjV20+sbp0xCabqAhrW1q+LJm5FpCEqraBBx40bRnWDuY6ykA+j1LwydG7nLS3+i3X2scNUXQAztNFiNJmZmYm1MV9hYSFMTZu34/V/DW3tDzuGZxdVQEOh9Y7LuDJSkOJwhJb41+6QXftmLCstRW0p0c9UA+8LJeNT6+k3w2BioNtonD5dNDD2J398Yq+Pc4v6N2sLDikpDrpoKaKbngre5pbSumlxcFKuUA9Y3TpjEkzVBTSsbUpvA6y/FI6D917ByUL0XD5VeVlM72OIwPgcgWG6pJzWv2S0lv9inX3sMFUXwAxtEjeapKSkYG5uzgiLsiNQWVlJ/Z9bUgGNJjbrFZdP7Dvjr+eChu3ThBz0aWCH73kDu+DK8oESyVtbRU5AlyjcHU0wwloXM/saCWzU2Vx6GamL7eG5uRSVV6Gsslpog8+mtH2sMFUX0LA2WWkpPNkwFPeiM9DbWPRvAwAsdZVx9MEbmG/yhs3WW0h4X4zE98Uwbmej6b9YZx87TNUFMEMbLRPB9+zZg7Vr1yIiIqLVaR05cgQ9evSgnGQ6OjrC29ubCi8rK8Py5cuhqakJJSUlTJo0CRkZGQJpJCcnY8yYMVBQUIC2tjbWrl2LqirBXhY/Pz/07NkTPB4PZmZmOHXqVKvLLglycz888HNLKqHWjH3nGsPNRgfbr0fBZMMNqicmODkXfUxED4HJSktRm6hKgrq6RCHPlcaGUVatng8y1k4Pf4fS40DV/9V7DLESfnNqStvHClN1AY1r01eTx4stwxtdKaalxEPinjE4Mbc3iiuqMWSvH769HgUz7fbd1f2/WmcfM0zVBTBDGy1G05w5c/D06VPY2dlBXl4eGhoaAp/mYGBggD179iA4OBjPnz/H0KFD8cknnyAyMhIAsHr1aly/fh1//vknHjx4gNTUVEycOJE6v7q6GmPGjEFFRQWePHmC06dP49SpU9i6dSsVJyEhAWPGjMGQIUMQGhqKVatWYcGCBbh9+7ZkLkgr0NX9MIxVWlEFBQmtWJGRlsKZz/tivJ0+un5zE+N/9se10FQBb8J0UlcXnXTtpIR3eaVNxiurrMbJx82b/+T/OguDzYWHbNpKW1vDVF1A09rEXbU61EoHv33WC/fWOKOXsbqAK4r24L9cZx8rTNUFMEMbLavnDh48KLG0xo0bJ/B9165dOHLkCAIDA2FgYIDjx4/j7NmzGDp0KADg5MmT6NatGwIDA9G/f3/cuXMHUVFRuHfvHnR0dGBvb48dO3Zg/fr12L59O7hcLo4ePYouXbpg3759AIBu3brB398fBw4cgJubm8S0tISSkg8TpgmR7IpDJ4tOcLLohIPT7PGz72tceJbSrM2AW0NdXXSjJi/bqLuGaj7BtF8DEPY2H5N7GQgNt4miooqPN5nFIjcobUttbQlTdQGS1TbCpubBcGGxo8TSbClsnX18MFUXwAxttBhN7u7udCSL6upq/PnnnyguLoajoyOCg4NRWVkJV1dXKo6VlRWMjIwQEBCA/v37IyAgAN27d4eOzodNLN3c3LB06VJERkbCwcEBAQEBAmnUxlm1ahUtOppDQUEB7XlISXHw5TBzfDnMnPa8amkLXbXYGaoh9G0ehliKnoQYmZqPgWZamONogj+fv8Xng7o0mearzELYG6mJDGtLbW0JU3UBzNXGVF0Ac7UxVRfADG20Obd88+YNNm/ejBkzZlBeQL29valhteYQHh4OJSUl8Hg8LFmyBFeuXIG1tTXS09PB5XKhpqYmEF9HR4faGDA9PV3AYKoNrw1rLE5BQQFKS0UP7ZSXl6OgoEDgQwf6+sK+jJhAW+pyMFJHYLzohQmpeaX44VYs+nbRwHAbHdyLzsCDuKwm09z2dySGW+uIDGPr7OODqdqYqgtgrjam6gKYoY0Wo+nBgwfo3r07goKCcPnyZRQVFQEAwsLCsG3btmanZ2lpidDQUAQFBWHp0qVwd3dHVFSUpIvdLHbv3g1VVVXqY2ho2PRJLYAJlrko2rSnyUAVUakFIv2CbbsWibT8UvQ31YSKnCz2TrGDd3hak2mqKcg2uO8WW2cfH0zVxlRdAHO1MVUXwAxttBhNGzZswM6dO3H37l1wuR/mkQwdOhSBgYHNTo/L5cLMzAy9evXC7t27YWdnh0OHDkFXVxcVFRXIy8sTiJ+RkUFNONPV1RVaTVf7vak4KioqkJcX7Zxu48aNyM/Ppz7i+KVqCbUGZ2U1v83mG7UFtbraAg6HgxHWOhj0va/A8eyicsjLSsPnKxfKy7m+mjze5paivKrhnevzSysbdYPQltraEqbqApirjam6AOZqY6ougBnaaDGawsPD8emnnwod19bWxvv371udPp/PR3l5OXr16gVZWVn4+PhQYbGxsUhOToajY80kTEdHR4SHhwtsFHj37l2oqKjA2tqailM3jdo4tWmIgsfjUW4Qaj90UNuDVVhWJdYE5Y8FunrmGuIzRxM4GKkhu+iDg877MZkYKsJlwJTeBvjR51WDaR33T4BrA0NzQNtrayuYqgtgrjam6gKYq42pugBmaKPFaFJTU0NamvAQx4sXL9C5c+dmpbVx40Y8fPgQiYmJCA8Px8aNG+Hn54dZs2ZBVVUV8+fPx5o1a+Dr64vg4GDMmzcPjo6O6N+/PwBgxIgRsLa2xmeffYawsDDcvn0bmzdvxvLly8Hj1WxJsmTJEsTHx2PdunWIiYnBL7/8gosXL2L16tWtvxitpNbIrNlChTlGkySM5+bSz1QTL5LzqO9+sVlwsRTefHi8nT6uh6XBZMMN3AxPQ2nFh16nR6+yEJWaj7Hd9RrMpz20tQVM1QUwVxtTdQHM1cZUXQAztNFiNE2fPh3r169Heno6OBwO+Hw+Hj9+jK+//hpz5sxpVlqZmZmYM2cOLC0tMWzYMDx79gy3b9/G8OHDAQAHDhzA2LFjMWnSJDg5OUFXVxeXL1+mzpeWlsY///wDaWlpODo6Yvbs2ZgzZw6+++47Kk6XLl1w48YN3L17F3Z2dti3bx+OHTvW7u4GAFAT0RtbMv8x0tAEezqx0VfBy7d5AGq8eZdX8aEmYlsaDoeDe2ucsXeKHW6Ep2HMT4+w4twLVFXz8b/bsdg61qbRbV3aQ1tbwFRdAHO1MVUXwFxtTNUFMEMbh9Cwa25FRQWWL1+OU6dOobq6GjIyMqiursbMmTNx6tQpSEtLxkFjR6KgoACqqqrIz8+X6FBdYWEhlJWVcScyHTnFFZje10hiabcntbraEj6fYOaxQPz6WW/85PMKfbpowM2maWdrMekF8I3Jwve3YmCsqYAHa4c0Gr89tLUFTNUFMFcbU3UBzNXGVF1A09roeo5KElr8NHG5XHh6emLLli2IiIhAUVERHBwcYG7edn6AmEJ6ejqUlZWRW8KsnqZaXW2JlBQHi527wu7bOwCADaOsxDrPSlcFljrK+MReHznFFU3Gbw9tbQFTdQHM1cZUXQBztTFVF8AMbbQYTbUYGRlRE78k6cn6v0R5ec3E5dySSph2at99rCRJra62ZoilNmb0NcTXIywhIy3+6DSHw4G+mjz01USvpqxLe2mjG6bqApirjam6AOZqY6ougBnaaHNuefz4cdja2kJOTg5ycnKwtbXFsWPH6MqOsZiamgL4d06TAnMmgtfqag92T+wBTSUebem3pzY6YaougLnamKoLYK42puoCmKGNFqNp69atWLlyJcaNG4c///wTf/75J8aNG4fVq1cLbJTL0jTJyckAgJziCqiLmLT8sVKri4kwVRtTdQHM1cZUXQBztTFVF8AMbbQMzx05cgSenp6YMWMGdWz8+PHo0aMHVqxYIbByjaVxqqqqAAB5pZVQlWdOT1OtLibCVG1M1QUwVxtTdQHM1cZUXQAztNHS01RZWYnevXsLHe/VqxcjLlpbYmZmBqBm5Vdz5uB0dGp1MRGmamOqLoC52piqC2CuNqbqApihjZan8GeffYYjR44IHf/tt98wa9YsOrJkLPHx8e1dBFpgqi6AudqYqgtgrjam6gKYq42pugBmaKNt9dzx48dx584dyjN3UFAQkpOTMWfOHKxZs4aKt3//frqKwAj4fD4IIWDa4kM+n9/eRaANpmpjqi6AudqYqgtgrjam6gKYoY0W55ZDhjTu/I/KnMPB/fv3JZ19u0CXU67KykpU8DnYeDkcP85wkFi67U1lZSVkZZkzR6suTNXGVF0Ac7UxVRfAXG1M1QU0re0/69zS19e36UgA3r59Cz6fDykp5szVkTSxsbHQMjSDkhytLrXanNjYWNja2rZ3MWiBqdqYqgtgrjam6gKYq42pugBmaGtXa8Xa2hqJiYntWYSPgqLySigzzGhiYWFhYWH52GhXo4mGkUHGYWlpiYKyKijzmGU0WVpatncRaIOp2piqC2CuNqbqApirjam6AGZo6/DjYg8fPsS4ceOgr68PDoeDq1evCoTPnTsXHA5H4DNy5EiBODk5OZg1axZUVFSgpqaG+fPno6ioSCDOy5cvMXjwYMjJycHQ0BA//PAD3dLEIjY2FkVlVVCWY9YYd2xsbHsXgTaYqo2pugDmamOqLoC52piqC2CGtg5vNBUXF8POzg6HDx9uMM7IkSORlpZGfc6dOycQPmvWLERGRuLu3bv4559/8PDhQyxatIgKLygowIgRI2BsbIzg4GD873//w/bt2/Hbb7/Rpqs5FJVXQYlhPU0sLCwsLCwfGx3+STxq1CiMGjWq0Tg8Hg+6uroiw6Kjo3Hr1i08e/aMcrj5008/YfTo0di7dy/09fXh5eWFiooKnDhxAlwuFzY2NggNDcX+/fsFjKv2wNLSEpGhaYzaQgVgRjdtQzBVG1N1AczVxlRdAHO1MVUXwAxt7drTxJGQ8yE/Pz9oa2vD0tISS5cuRXZ2NhUWEBAANTU1AQ/lrq6ukJKSQlBQEBXHyckJXO4Hw8TNzQ2xsbHIzc0VmWd5eTkKCgoEPnQQGxuLwrIqRq6eYypM1cZUXQBztTFVF8BcbUzVBTBD20c/EXzkyJE4c+YMfHx88P333+PBgwcYNWoUqqurAQDp6enQ1tYWOEdGRgYaGhpIT0+n4ujo6AjEqf1eG6c+u3fvhqqqKvUxNDRstRZRSElJobCsCioMm9PEZDcTTNXGVF0Ac7UxVRfAXG1M1QUwQ1ubdV/UeLUW7FmKioqCvr5+q9KdPn069X/37t3Ro0cPdO3aFX5+fhg2bFir0m6MjRs3Cng2LygooMVwMjU1RVF8POPmNJmamrZ3EWiDqdqYqgtgrjam6gKYq42pugBmaJOo2VdeXo6vv/4aTk5O+P777wEAO3fuhJKSEpSVlTFz5kyBYSxDQ0NIS0tLsggwNTWFlpYWXr9+DQDQ1dVFZmamQJyqqirk5ORQ86B0dXWRkZEhEKf2e0NzpXg8HlRUVAQ+dPD69WsUljHPT1Nt/TARpmpjqi6AudqYqgtgrjam6gKYoU2iRtPGjRtx7tw59O3bF6dPn8by5cvh6emJX3/9FZ6ennj27Bk2b94sySyFePv2LbKzs6GnpwcAcHR0RF5eHoKDg6k49+/fB5/PR79+/ag4Dx8+RGVlJRXn7t27sLS0hLq6Oq3lbQoZGZma1XMMM5pkZJilpy5M1cZUXQBztTFVF8BcbUzVBTBEG5EghoaG5O7du4QQQt68eUOkpKTI1atXqfA7d+4QY2PjZqVZWFhIXrx4QV68eEEAkP3795MXL16QpKQkUlhYSL7++msSEBBAEhISyL1790jPnj2Jubk5KSsro9IYOXIkcXBwIEFBQcTf35+Ym5uTGTNmUOF5eXlER0eHfPbZZyQiIoKcP3+eKCgokF9//VXscubn5xMAJD8/v1n6mqK4uJjMP/VUoml2BIqLi9u7CLTBVG1M1UUIc7UxVRchzNXGVF2ENK2NrueoJJFoT9P79+9hYWEBoGaYTFpaGmZmZlS4ubk5srKympXm8+fP4eDgAAeHms1q16xZAwcHB2zduhXS0tJ4+fIlxo8fDwsLC8yfPx+9evXCo0ePwOPxqDS8vLxgZWWFYcOGYfTo0Rg0aJCADyZVVVXcuXMHCQkJ6NWrF7766its3bq13d0NAEB8fHx7F4EWmKoLYK42puoCmKuNqboA5mpjqi6AGdok2ldmZGSEgIAAGBkZ4dmzZ+BwOHj69ClsbGwAAEFBQejcuXOz0nRxcWl0ld3t27ebTENDQwNnz55tNE6PHj3w6NGjZpWtLagx/krbuxgSp65RyzSYqo2pugDmamOqLoC52piqC2CGNokaTUuWLMHcuXNx7NgxBAcHY+/evfjmm28QExMDKSkpHDlyBF999ZUks2Q8NRPR89q7GBKnoQn2TICp2piqC2CuNqbqApirjam6AGZok+jw3KpVq3D8+HFYWVnh8OHDWLFiBc6dO4eAgADcvXsXq1evxqZNmySZJeOJT0iElIScgHYkkpKS2rsItMFUbUzVBTBXG1N1AczVxlRdADO0SXwq+8yZMzFz5kzqu4uLCx4+fCjpbP4zVHC4UFdovRPQjoa8vHx7F4E2mKqNqboA5mpjqi6AudqYqgtghjYGrP9jNlLyytBQYp7RpKWl1d5FoA2mamOqLoC52piqC2CuNqbqApihTeI+zW/evIkFCxZg3bp1iImJEQjLzc3F0KFDJZ0lo4lNTIUGwzbrBYCUlJT2LgJtMFUbU3UBzNXGVF0Ac7UxVRfADG0SNZrOnj2L8ePHIz09HQEBAXBwcICXlxcVXlFRgQcPHkgyS8ZTwZGFhiLzjCYlJaX2LgJtMFUbU3UBzNXGVF0Ac7UxVRfADG0SHZ773//+h/379+PLL78EAFy8eBGff/45ysrKMH/+fElm9Z+hHLIwZqDRRNe2Mx0Bpmpjqi6AudqYqgtgrjam6gKYoU2iPU2vXr3CuHHjqO9Tp07F9evXsWrVKhw9elSSWf1nSM7IYWRPU2pqansXgTaYqo2pugDmamOqLoC52piqC2CGNon2NKmoqCAjIwNdunShjg0ZMgT//PMPxo4di7dv30oyu/8EZUSGkUYTE944GoKp2piqC2CuNqbqApirjam6AGZok2hPU9++feHt7S103NnZGdevX8fBgwclmd1/gqJKMNJoUlBQaO8i0AZTtTFVF8BcbUzVBTBXG1N1AczQJlGjafXq1ZCTkxMZ5uLiguvXr2POnDmSzJLx5BaWQIEr3d7FkDjp6entXQTaYKo2puoCmKuNqboA5mpjqi6AGdokOjzn7OwMZ2fnBsOHDBmCIUOGSDJLxiPLlQWHgR7B1dXV27sItMFUbUzVBTBXG1N1AczVxlRdADO0SdxPU10yMzMRERGBly9fCnw6MocPH4aJiQnk5OTQr18/PH36tF3LI8WhtYraDVlZ2fYuAm0wVRtTdQHM1cZUXQBztTFVF8AMbbQ8kYODg2Fraws9PT306NED9vb2cHBwoP52VC5cuIA1a9Zg27ZtCAkJgZ2dHdzc3JCZmdluZVrZV7nd8qaT9rymdMNUbUzVBTBXG1N1AczVxlRdADO00WI0ff7557CwsMCTJ08QHx+PhIQEgb8dlf3792PhwoWYN28erK2tcfToUSgoKODEiRPtVqbOOp3aLW860dTUbO8i0AZTtTFVF8BcbUzVBTBXG1N1AczQRsvec/Hx8bh06RLMzMzoSJ4WKioqEBwcjI0bN1LHpKSk4OrqioCAAKH45eXlKC8vp74XFBS0STlZWFhYWFhY2gdajKZhw4YhLCzsozKa3r9/j+rqaujo6Agc19HREdpDDwB2796Nb7/9Vui4pI2npKQkKCoqSjTNjgBTdQHM1cZUXQBztTFVF8BcbUzVBTStrfb5SUjH3aSeFqPp2LFjcHd3R0REBGxtbYUmf40fP56ObNuUjRs3Ys2aNdT3d+/ewdraGoaGhu1YKhYWFhYWlo+bwsJCqKqqtncxREKL0RQQEIDHjx+LdHTJ4XBQXV1NR7atQktLC9LS0sjIyBA4npGRAV1dXaH4PB4PPB6P+q6kpISUlBQoKytLzEVAQUEBDA0NkZKSwghPqrUwVRfAXG1M1QUwVxtTdQHM1cZUXYB42gghKCwshL6+fhuXTnxoMZpWrFiB2bNnY8uWLULDXR0VLpeLXr16wcfHBxMmTAAA8Pl8+Pj44IsvvmjyfCkpKRgYGNBSNhUVFcb9gADm6gKYq42pugDmamOqLoC52piqC2haW0ftYaqFFqMpOzsbq1ev/mgMplrWrFkDd3d39O7dG3379sXBgwdRXFyMefPmtXfRWFhYWFhYWNoZWoymiRMnwtfXF127dqUjedqYNm0asrKysHXrVqSnp8Pe3h63bt366Iw/FhYWFhYWFslDi9FkYWGBjRs3wt/fH927dxeaCP7ll1/Ska1E+OKLL8QajmsLeDwetm3bJjB3igkwVRfAXG1M1QUwVxtTdQHM1cZUXQBztHEIDWv7unTp0nCGHE6HdnDJwsLCwsLCwiIKWowmFhYWFhYWFhamwczdYFlYWFhYWFhYJAwtc5o+//zzRsPbcy83FhYWFhYWFpaWQIvRlJubK/C9srISERERyMvLw9ChQ+nIkoWFhYWFhYWFVmgxmiZMmAAtLS2MGTMGALBu3Tr4+/tDTk4OlpaWdGTJwsLCwsLCwkIrtMxp8vDwgLy8PICaLVUOHz6MH374AdbW1jhw4AAdWbKwsLCwsLCw0AotPU0pKSkwMzMDAFy9ehWTJk3CokWLUF1dDT8/PzqyZGFhYWFhYWGhFVpcDigoKGDixInQ1tbGH3/8gZ49e0JNTQ3Xr19HRUUFKisrJZ0lCwsLCwsLCwut0GI06ejooKSkBEpKSsjMzMTAgQOhr68PTU1NPHjwABEREZLOkoWFhYWFhYWFVmiZ0xQbGwt3d3f07dsXN27cwMOHD3H+/HloaWlhxowZdGTJwsLCwsLCwkIrtPQ0lZaWghACBQUFAEBSUhKuXLkCa2trjBgxQtLZsbCwsLCwsLDQDi1G04gRI9C9e3dkZGQgLi4O8fHxkJeXR0ZGBlasWIF9+/ZJOksWFhYWFhYWFlqhZXguICAAv/zyC+Tl5fHixQtoaWkhKSkJn332GX799Vc6smRhYWFhYWFhoRVajKbi4mJ4eHjA09MTAODm5gYpKSlMnjwZxcXFdGTJwsLCwsLCwkIrtG3Ym5eXh5SUFFRVVWHw4MEAgIqKCrqyY2FhYWFhYWGhFdpcDmRnZ4MQAg6Hg7i4OJiammLKlCnw9vZGUVGRpLNkYWFhYWFhYaEVWnqaVq1aha5du+LkyZNQUFBAamoqvLy84OPjg1WrVlHx3r59Cz6fT0cRaMHFxUWg/O0Fh8PB1atXGwxPTEwEh8NBaGhoi9KfO3cuJkyY0KJzWToWJiYmOHjwYKNxmmpPjbF9+3bY29u36FyW9kece4Wfnx84HA7y8vJalEdHuW/+l2HvA5KDFqNpw4YNmDNnDpYtW4aioiI4OTlhwYIFWL58OXbu3EnFs7a2RmJiIh1F+GhoSWNLS0vDqFGj6CmQmMydOxfbt2+nvru4uIDD4Qh9qqqqqDiRkZGYOnUqOnXqBB6PBwsLC2zduhUlJSVC6T958gSjR4+Guro65OTk0L17d+zfvx/V1dUC8ermpaioCHNzc8ydOxfBwcFCaXp6esLOzg5KSkpQU1ODg4MDdu/eLZbey5cvo3fv3lBTU4OioiLs7e3x+++/C8RxcXHBqVOnxEqvJZw6dQpqamrNOufZs2dYtGgRPQUSk+3bt2Pu3LnU97lz54psK69fv6bipKSk4PPPP4e+vj64XC6MjY2xcuVKZGdnC6UvbrsyMTGh8pKXl4eJiQmmTp2K+/fvC6V55coV9O/fH6qqqlBWVoaNjY3Ag//UqVNwcXFp0fVo7UuNJDE0NERaWhpsbW3btRx1fzvTp0/HyJEjBcJv3boFDocjcM8BatqWkZERgOZf1y+//BK9evUCj8cTeQ/28/ODiYlJM5V8oKVGiDgGTnPpaPeBo0ePQllZWeD5UFRUBFlZWaHfVa3R/ubNGwDC18fExKRNt2ejxWjicDjYtGkTcnJyEBERgcDAQGRlZWHHjh0C8WgYGfxPoKurCx6P197FEGLhwoVIS0sT+MjI1GxvGBgYiH79+qGiogI3btxAXFwcdu3ahVOnTmH48OEC892uXLkCZ2dnGBgYwNfXFzExMVi5ciV27tyJ6dOnC7WbkydPIi0tDZGRkTh8+DCKiorQr18/nDlzhopz4sQJrFq1Cl9++SVCQ0Px+PFjrFu3TuyhYg0NDWzatAkBAQF4+fIl5s2bh3nz5uH27dsSuHL00alTJ8pfWkdi5MiRQm2lS5cuAID4+Hj07t0br169wrlz5/D69WscPXoUPj4+cHR0RE5ODpVOc9oVAHz33XdIS0tDbGwszpw5AzU1Nbi6umLXrl1UHB8fH0ybNg2TJk3C06dPERwcjF27dnXI7Z9aWyZpaWno6upSv9OOwJAhQ/D48WOBB6qvry8MDQ2FHo6+vr4YMmRIi/P6/PPPMW3atBaf/7HQ0e4DQ4YMQVFREZ4/f04de/ToEXR1dREUFISysjLquK+vL4yMjNC1a9f2KKowpB1RUlIib968ac8iNEhRURH57LPPiKKiItHV1SV79+4lzs7OZOXKlVScsrIy8tVXXxF9fX2ioKBA+vbtS3x9fanwkydPElVVVXLlyhViZmZGeDweGTFiBElOTqbCAQh8Tp482WTZAJArV65Q34OCgoi9vT3h8XikV69e5PLlywQAefHiRYu0u7u7k08++YRs376daGlpEWVlZbJ48WJSXl4uEGfbtm3U9/rXpi58Pp9YW1uT3r17k+rqaoGw0NBQwuFwyJ49ewghNdddU1OTTJw4USida9euEQDk/Pnz1LH616KWOXPmEGVlZZKTk0MIIeSTTz4hc+fOFfcSiIWDgwPZvHkz9d3Z2bnJ+jt+/DixtrYmXC6X6OrqkuXLl1Nh+/btI7a2tkRBQYEYGBiQpUuXksLCQkIIIb6+vkJtpe71bwhjY2Ny4MAB6ntcXBwZPHgw4fF4pFu3buTOnTsNXkNx2LZtG7GzsyNHjx4lBgYGRF5enkyZMoXk5eUJxHF3d6e+17avhhg5ciQxMDAgJSUlAsfT0tKIgoICWbJkCSGkee2KEOFrUcvWrVuJlJQUiYmJIYQQsnLlSuLi4tKo7pMnTxJnZ+cGw3NycsjMmTOJlpYWkZOTI2ZmZuTEiROEECJUj7XpVFdXk2+//ZZ07tyZcLlcYmdnR7y9vak0ExISqPbv5OREeDwe1d48PT2JlZUV4fF4xNLSkhw+fLjR8tdPs+694saNG8Tc3JzIyckRFxcX6j6Vm5srVpr1cXZ2JsuXLyfLly8nKioqRFNTk2zevJnw+XyBOLVaYmNjCQASEBBAhfft25ccPnyYyMnJkdLSUkIIIaWlpQLXQJQWcahtw/Xx9fUlxsbGDZ5XXl5Oli9fTnR1dQmPxyNGRkbEw8ODEFLT1urWcW06r1+/JuPHjyfa2tpEUVGR9O7dm9y9e1fgOtRvH7U8evSIDBo0iMjJyREDAwOyYsUKUlRUJJbGjngf0NPTI7t376a+r1u3jixfvpx069ZN4Dnq5OQkcF59LcbGxgLx6UZiPU0TJ04U+/MxsHbtWjx48AB///037ty5Az8/P4SEhAjE+eKLLxAQEIDz58/j5cuXmDJlCkaOHIlXr15RcUpKSrBr1y6cOXMGjx8/Rl5eHqZPnw4AmDZtGr766ivY2NhQb9vNfespKirC2LFjYW1tjeDgYGzfvh1ff/21UDwlJaVGP0uWLBGI7+Pjg+joaPj5+eHcuXO4fPkyvv3222aVrZbQ0FBERUVhzZo1kJISbHJ2dnZwdXXFuXPnAAB37txBdna2SA3jxo2DhYUFFbcxVq9ejcLCQty9exdATe9cYGAgkpKSWqShLoQQ+Pj4IDY2Fk5OTmKfd+TIESxfvhyLFi1CeHg4rl27BjMzMypcSkoKP/74IyIjI3H69Gncv38f69atAwAMGDAABw8ehIqKCtVWRF2jxuDz+Zg4cSK4XC6CgoJw9OhRrF+/XiiejY1No22l/tDw69evcfHiRVy/fh23bt3CixcvsGzZsmaVrZacnBzcvn0by5Ytg7y8vECYrq4uZs2ahQsXLoAQ0qx21RgrV64EIQR///03lU9kZGSr9sjcsmULoqKi4O3tjejoaBw5cgRaWloAgKdPnwIA7t27h7S0NFy+fBkAcOjQIezbtw979+7Fy5cv4ebmhvHjxwvcT4Ca6Q8rV65EdHQ03Nzc4OXlha1bt2LXrl2Ijo6Gh4cHtmzZgtOnTze73CkpKZg4cSLGjRuH0NBQLFiwABs2bBCIk5yc3OT9xMPDQ+Cc06dPQ0ZGBk+fPsWhQ4ewf/9+HDt2TGQZLCwsoK+vD19fXwBAYWEhQkJCMGXKFJiYmCAgIABAzRB+eXl5q3qaWsOPP/6Ia9eu4eLFi4iNjYWXlxc1nPfs2TMAH3rBa78XFRVh9OjR8PHxwYsXLzBy5EiMGzcOycnJAGqmARgYGFA9omlpaQCAN2/eYOTIkZg0aRJevnyJCxcuwN/fH1988UWzy91R7gNDhgyh6hio6VFycXGBs7Mzdby0tBRBQUHtVscikZT1NXfuXLE/tXTUnqbCwkLC5XLJxYsXqWPZ2dlEXl6e6k1JSkoi0tLS5N27dwLnDhs2jGzcuJEQ8qEnKTAwkAqPjo4mAEhQUBAhpOG3nMZAnTeCX3/9lWhqalJvX4QQcuTIEaE3rlevXjX6ycjIoOK6u7sTDQ0NUlxcLJCmkpKS0Bt9Lc7OzkRWVpYoKipSnzVr1hBCCDl//nyjb4BffvklkZeXJ4QQsmfPnkbfasePH0+6desm8lrUpbS0lAAg33//PSGEkNTUVNK/f38CgFhYWBB3d3dy4cKFBvWIIi8vjygqKhIZGRnC4/HI8ePHxT6XEEL09fXJpk2bxI7/559/Ek1NTep7bc9lc6j7Vnb79m0iIyMj0Ga9vb2FrmFiYmKjbeXt27dU3G3bthFpaWmBY97e3kRKSoqkpaWJLJO7uzuRlpYWaCuTJ08mhBASGBjY6Bvv/v37CQCSkZHRrHZV/1rUR0dHhyxdupQQUtPbOXr0aKqHYNq0aeT48eOkrKxM5LmiGDduHJk3b57IsIZ6RPT19cmuXbsEjvXp04csW7ZM4LyDBw8KxOnatSs5e/aswLEdO3YQR0fHJstZvywbN24k1tbWAnHWr18v8JusrKxs8n6SnZ1Nne/s7Ey6desm0LO0fv16gd9xfWbNmkVGjBhBCKnp+aot06JFi8jWrVsJIYRs2bKFdOnSpUEt4tKSezAhhKxYsYIMHTpUQFddGmvHdbGxsSE//fQT9V1UO50/fz5ZtGiRwLFHjx4RKSkpgXt/Q3TE+4CnpydRVFQklZWVpKCggMjIyJDMzExy9uxZ4uTkRAghxMfHhwAgSUlJjV6ftkRiA9mrV6+Gra2t0BtfY3A4HEllL1HevHmDiooK9OvXjzqmoaEBS0tL6nt4eDiqq6thYWEhcG55eTk0NTWp7zIyMujTpw/13crKCmpqaoiOjkbfvn1bXdbo6Gj06NEDcnJy1DFHR0eheHV7NMTBzs5OYAzc0dERRUVFSElJgbGxschzZs2ahU2bNlHf609aJs2Yw9acuI2dX9vG9PT0EBAQgIiICDx8+BBPnjyBu7s7jh07hlu3bonVbpWVlREaGoqioiL4+PhgzZo1MDU1FWtCcGZmJlJTUzFs2LAG49y7dw+7d+9GTEwMCgoKUFVVhbKyMpSUlEhkPkJ0dDQMDQ2hr69PHRPVVhqq34YwMjJC586dBdLk8/mIjY2Frq6uyHOGDBmCI0eOUN8VFRUFwtuyrdSmUdtWFBUVcePGDbx58wa+vr4IDAzEV199hUOHDiEgIECsuli6dCkmTZqEkJAQjBgxAhMmTMCAAQMajF9QUIDU1FQMHDhQ4PjAgQMRFhYmcKx3797U/8XFxXjz5g3mz5+PhQsXUserqqqgqqoqlva6REdHC9z3AOE2IiMj0+z7Sf/+/QXu946Ojti3bx+qq6shLS0tFL92xV1lZSX8/Pyo35izszO1q4Sfn1+79kDMnTsXw4cPh6WlJUaOHImxY8c2ubdqUVERtm/fjhs3biAtLQ1VVVUoLS2lepoaIiwsDC9fvoSXlxd1jBACPp+PhIQEdOvWTexyd5T7gIuLC4qLi/Hs2TPk5ubCwsICnTp1grOzM+bNm4eysjL4+fnB1NSUmuzfEZDY8JyDgwPev38PADA1NRW5yqU+krjZtRdFRUWQlpZGcHAwQkNDqU90dDQOHTrU3sUTornDcy1BVVUVZmZm1Kd2OKLWsIyOjhZ5XnR0NBWnOXEbo/b82snFtdja2mLZsmX4448/cPfuXdy9excPHjwQQ13N8JmZmRns7e3x1VdfYfLkyWKvvqs/1FSfxMREjB07Fj169MClS5cQHByMw4cPA2h7p7DN7ZZvCYqKigJtRU9PD0CNcc/hcBqtf3V1dXTq1ElibSU7OxtZWVlCbaVr165YsGABjh07hpCQEERFReHChQti6Rs1ahSSkpKwevVqylhu7nBqQ9Q1MGsXMnh6egrch2oX4NBBS4bnmsuQIUOoB6qvry+cnZ0B1BhNQUFByMnJQVBQEIYOHSoJSS2iZ8+eSEhIwI4dO1BaWoqpU6di8uTJjZ7z9ddf48qVK/Dw8MCjR48QGhqK7t27N/kbLyoqwuLFiwXqOCwsDK9evaJtgjTd9wEzMzNqsU/dOtbX14ehoSGePHkCX1/fdq1jUUisp0lNTQ0JCQnQ1tZGYmIi/v77b9y6dQvJyclCDaJ2blBUVJSAtdtR6Nq1K2RlZREUFERZuLm5uYiLi6Mq1sHBAdXV1cjMzKQ8nouiqqoKz58/p3qVYmNjkZeXR70ZcLlcoWX0zaFbt274/fffUVZWRvU2ibpZNrUMV0VFReB7WFgYSktLqYd9YGAglJSUYGho2Owy2tvbw8rKCgcOHMD06dMFenXCwsKoHhagZrNnDQ0N7Nu3T+jN/Nq1a3j16pXQKkxR1M7/cXV1bTCOtbU1ALR4ax8+n4/y8nKx4iorK8PExAQ+Pj4i346Dg4PB5/Oxb98+6vpcvHhRII4k2kpKSgrS0tIoI0VUW7l582ajq7LqG4DJyclITU2lfsuBgYGQkpIS6JkVF01NTQwfPhy//PILVq9eLZBXeno6vLy8MGfOHHA4nGa1q8Y4dOgQpKSkGvVNZmJiAgUFhWa1lU6dOsHd3R3u7u4YPHgw1q5di71794LL5QKAQF2qqKhAX18fjx8/pu4xAPD48eNGe6R1dHSgr6+P+Ph4zJo1S+yyNUS3bt1w7do1gWP124i+vn6T9xMNDQ2B70FBQUJpmpubi+xlAmruwYaGhrh27RpCQ0Opa9K5c2d07twZ+/btQ0VFRbvPdVFRUcG0adMwbdo0TJ48GSNHjkROTg40NDQgKysr9Ht9/Pgx5s6di08//RRAjTFU3+2OqN95z549ERUV1ewePlF0pPvAkCFD4Ofnh9zcXKxdu5Y67uTkBG9vbzx9+hRLly5tlj7akdQ438KFCwmPxyMmJiaEw+EQDodDVFRUCACirKxM5OTkiJSUVLPnZLQXS5YsIcbGxsTHx4eEh4eT8ePHEyUlJYEVYrNmzSImJibk0qVLJD4+ngQFBREPDw/yzz//EEJq5qDIysqSvn37ksDAQPL8+XPSv39/0r9/fyoNLy8voqioSF68eEGysrLEmjeBOmPPhYWFREtLi8yePZtERkaSGzduEDMzs1avnlNSUiIzZsyg0tTR0SEbNmxo8JzGVs8RQsjjx4+JgoICmTBhAgkKCiJJSUnk4sWLxNDQkAwYMEBA959//kmkpaXJwoULSVhYGElISCDHjh0j6urqZPLkyQJzCPDvisO0tDSSmJhI7ty5QyZNmkSkpaWJl5cXFW/JkiXku+++I/7+/iQxMZEEBASQMWPGkE6dOpH37983eU08PDzInTt3yJs3b0hUVBTZu3cvkZGRIZ6enk2eW8upU6eInJwcOXToEImLiyPBwcHkxx9/JITUrPbCv/NV3rx5Q86cOUM6d+4sMJfk8ePHBAC5d+8eycrKEphz1hB1x/+rq6uJtbU1GT58OAkNDSUPHz4kvXr1avWqGUVFReLq6kqlaWFhQaZPn97gOU2tnouLiyNaWlpk8ODB5MGDByQ5OZl4e3sTW1tbYm5uLjBfpjntytjYmHz33XckLS2NJCcnkwcPHpCFCxcKrbLbtm0bWbt2LfH19SXx8fEkJCSEzJ07l8jLy1Mr7Jpiy5Yt5OrVq+TVq1ckIiKCjB07lvTt25cQUjMnSF5enuzcuZOkp6dTK4wOHDhAVFRUyPnz50lMTAxZv349kZWVJXFxcYSQhufseHp6Enl5eXLo0CESGxtLXr58SU6cOEH27dvXZDnrp5mUlES4XC75+uuvSUxMDPHy8iK6urqtXj2npKREVq9eTWJiYsjZs2eJoqIiOXr0aKPn1a6AtbKyEjg+b948oqysTCwsLBrV0hSvXr0iL168IIsXLyYWFhbkxYsX5MWLFwKrhBtj37595OzZsyQ6OprExsaS+fPnE11dXWqepLm5OVm6dClJS0ujVvF++umnxN7enrx48YKEhoaScePGEWVlZYF75/Dhw8n48ePJ27dvSVZWFiGEkLCwMCIvL0+WL19OXrx4QeLi4sjVq1cFVt82Rke8DxBCyIkTJ4i8vDyRkZEh6enp1PHTp08TZWVlAoCkpqY2qKU9kKjLAW9vb/LTTz8RAGTKlCnk4MGDhMfjkc2bN5ODBw+SESNGkEGDBkkyS9ooLCwks2fPJgoKCkRHR4f88MMPQoZBRUUF2bp1KzExMSGysrJET0+PfPrpp+Tly5eEkA8Tdy9dukRMTU0Jj8cjrq6uApPaysrKyKRJk4iamlqLXQ4EBAQQOzs7wuVyib29Pbl06ZJEXA5s3bqVaGpqEiUlJbJw4cJGDbqmjCZCCHn58iWZNGkS0dDQILKysqRr165k8+bNIh/+Dx8+JG5ubkRFRYVwuVxiY2ND9u7dS6qqqgTioc7SXDk5OdK1a1fi7u5OgoODBeL99ddfZPTo0URPT49wuVyir69PJk2aRNVVU2zatImYmZkROTk5oq6uThwdHQVcH4jL0aNHiaWlJdVeVqxYQYXt37+f6OnpEXl5eeLm5kbOnDkj9LBasmQJ0dTUbLHLgdjYWDJo0CDC5XKJhYUFuXXrlkSWGv/yyy9EX1+fyMnJkcmTJ1MPCVE0ZTQRUjMJ1d3dnejo6BBZWVliaGhIVqxYIdLAFbdd1V0GzuVyiZGREZk6dSq5f/++QLz79++TSZMmEUNDQ8LlcomOjg4ZOXIkefTokdjXZceOHaRbt25EXl6eaGhokE8++YTEx8dT4Z6ensTQ0JBISUkJuBzYvn076dy5M5GVlW3Q5YCo37WXlxext7cnXC6XqKurEycnJ3L58uUmyykqzevXr1MuUgYPHkxOnDjRaqNp2bJlZMmSJURFRYWoq6uTb775psEJ1LXULqSpdTFRy6lTpwgAsnjx4ia1NFWuuveP2k9CQoJY5//222/E3t6eKCoqEhUVFTJs2DASEhJChV+7do2YmZkRGRkZyuVAQkICGTJkCJGXlyeGhobk559/Frp3BgQEkB49ehAejyfgcuDp06dk+PDhRElJiSgqKpIePXoILRxoiI54HyDkQ53VN4wTExMJAGJpadmklraGlr3nZGRkEBYWBhsbG2hra+Pu3buws7PDq1ev0L9/f7HmOzGBU6dOYdWqVS3efoCFhYWFhYWl40CLR3AjIyNqHpORkRE1XpqQkPBRT/5mYWFhYWFh+e9Ci9E0dOhQajLhvHnzsHr1agwfPhzTpk2jJsCxiMbLy6vB1Qo2NjbtXTzG0tgqkUePHrV38UTy6NGjRsvNwuLh4UHrKsiOypIlS2hdKdyRYO8DbQstw3N8Ph98Pp/az+j8+fN48uQJzM3NsXjxYmr1CIswhYWFyMjIEBkmKyvbbN8ZLOJRd7PY+nTu3LlJlwHtQWlpKd69e9dguCRW2rB83OTk5Ajs1VcXeXl5Ab86TCIzMxMFBQUiw1RUVKCtrd3GJaIP9j7QttBiNLGwsLCwsLCwMA1ahudu3boFf39/6vvhw4dhb2+PmTNnIjc3l44sWVhYWFhYWFhohRajae3atVTXaHh4ONasWYPRo0cjISEBa9asoSNLFhYWFhYWFhZakZhH8LokJCRQ3pYvXbqEcePGwcPDAyEhIRg9ejQdWbY7fD4fqampUFZW7rB76rGwsLCwsHRUCCEoLCyEvr5+s/axbUtoMZq4XC5KSkoA1GxCOmfOHAA1rvUbmpz3sZOamtqiLUZYWFhYWFhYPpCSkgIDA4P2LoZIaDGaBg0ahDVr1mDgwIF4+vQptcllXFxch70QrUVZWRlATWXX38etNeTn57dot/KODlN1AczVxlRdAHO1MVUXwFxtTNUFNK2toKAAhoaG1PO0I0KL0fTzzz9j2bJl+Ouvv3DkyBFqWau3tzdGjhxJR5btTu2QnIqKikSNpqysLImm11Fgqi6AudqYqgtgrjam6gKYq42pugDxtXXkKS60GE1GRkb4559/hI4fOHBA4PuePXuwZMkSqKmp0VEMRlBaWtreRaAFpuoCmKuNqboA5mpjqi6AudqYqgtghrZ2nWnl4eHRoOO1Wt69e4fZs2dDU1MT8vLy6N69O54/f06FE0KwdetW6OnpQV5eHq6urnj16pVAGjk5OZg1axZUVFSgpqaG+fPno6ioSCDOy5cvMXjwYMjJycHQ0BA//PCD5IS2AqY6s2SqLuDj0ZZTXIH8kkqYbLiBuIzCJuN/LLpaAlO1MVUXwFxtTNUFMENbuxpNTfnVzM3NxcCBAyErKwtvb29ERUVh3759UFdXp+L88MMP+PHHH3H06FEEBQVBUVERbm5uKCsro+LMmjULkZGRuHv3Lv755x88fPgQixYtosILCgowYsQIGBsbIzg4GP/73/+wfft2/Pbbb5IX3UzS09Pbuwi0wFRdQMfSllFQho2XX4oMW3n+Bey+u4OunRTx+alnTabVkXRJGqZqY6ougLnamKoLYIY2WobnJMX3338PQ0NDnDx5kjrWpUsX6n9CCA4ePIjNmzfjk08+AQCcOXMGOjo6uHr1KqZPn47o6GjcunULz549Q+/evQEAP/30E0aPHo29e/dCX18fXl5eqKiowIkTJ8DlcmFjY4PQ0FDs379fwLhqD8rLy9s1f7pgqi6gY2nLKCjDuacp8Pi0u9A8gZKKagCAz1cuWH0hFGn5pdBTbXi7mI6kS9IwVRtTdQHM1cZUXQAztHVMRwj/cu3aNfTu3RtTpkyBtrY2HBwc4OnpSYUnJCQgPT0drq6u1DFVVVX069cPAQEBAICAgACoqalRBhMAuLq6QkpKCkFBQVQcJycngT3x3NzcEBsb26AH8/LychQUFAh86MDU1JSWdNsbpuoCOpa2gtIqAMDbXOG5BMYaCjjuXvO7mNXPCCf8ExpNqyPpkjRM1cZUXQBztTFVF8AMbR3aaIqPj8eRI0dgbm6O27dvY+nSpfjyyy9x+vRpAB+6+nR0dATO09HRocLS09OFNmeUkZGBhoaGQBxRadTNoz67d++Gqqoq9aHLR1NycjIt6bY3TNUFdCxtuSUVGNNdD5dDhDf0LCqvgpNFJwBAbxMNxGYUoaCsssG0OpIuScNUbUzVBTBXG1N1AczQ1qGNJj6fj549e8LDwwMODg5YtGgRFi5ciKNHj7Z30bBx40bk5+dTn5SUFFryqaqqoiXd9oapuoCOpS2vtBLj7fURmZovcPx5Yg6KK6ogK/3hFjC8mzYC32Q3mFZH0iVpmKqNqboA5mpjqi6AGdra1WgaPHgw5OUbnkOhp6dHbcdSS7du3ShrVVdXFwCQkZEhECcjI4MK09XVRWZmpkB4VVUVcnJyBOKISqNuHvXh8XiUTyZJ+2aqi5mZGS3ptjdM1QV0LG15xRXQVuahspqPvJIKFJVXobCsEpOPBiAoXnDl6iDzTvB//b7BtDqSLknDVG1M1QUwVxtTdQHM0Eab0VRdXY2//voLO3bswI4dO/DXX38JWZk3b96Enp5eg2kMHDgQsbGxAsfi4uKoZYtdunSBrq4ufHx8qPCCggIEBQXB0dERAODo6Ii8vDwEBwdTce7fvw8+n49+/fpRcR4+fIjKyg9DE3fv3oWlpaXASr32ID4+vl3zpwum6gI6lra80kqoKXChLCeL/rt9sOp8KK6GpmKQmRaq+IKrV000FZCYXdJgWh1Jl6Rhqjam6gKYq42pugBmaKPFaIqMjISFhQXc3d1x5coVXLlyBXPnzoW5uTkiIiLETmf16tUIDAyEh4cHXr9+jbNnz+K3337D8uXLAdR4DV21ahV27tyJa9euITw8HHPmzIG+vj4mTJgAoKZnauTIkVi4cCGePn2Kx48f44svvsD06dOhr68PAJg5cya4XC7mz5+PyMhIXLhwAYcOHcKaNWskfm2aC5/Pb+8i0AJTdQEdS1teSSXUFWSx1KUrzi7sjz4m6thyNQKbxnTDl8PMBeJyOBx0UuIhq1D0CpeOpEvSMFUbU3UBzNXGVF0AQ7QRGujfvz8ZN24cycnJoY7l5OSQ8ePHE0dHx2aldf36dWJra0t4PB6xsrIiv/32m0A4n88nW7ZsITo6OoTH45Fhw4aR2NhYgTjZ2dlkxowZRElJiaioqJB58+aRwsJCgThhYWFk0KBBhMfjkc6dO5M9e/Y0q5z5+fkEAMnPz2/WeU1RUVEh0fQ6CkzVRUjH0jb/1DNSVc0XO/4Rv9ck8M17kWEdSZekYao2UbrC3+aR0oqqdiiNZPkv1RlTaEobXc9RScIhpAkPky1AXl4ez58/h42NjcDxiIgI9OnThxGu1OtTUFAAVVVV5OfnS3R+U0REBGxtbSWWXkeBqbqAjqVt/qlnOD63j9jxn7x5j5CkXHwx1FworCPpkjRM1VZfVzWfoOs3N3F+UX/0N9Vsx5K1nv9KnTGJprTR9RyVJLQMz1lYWAhNrAaAzMxMRkwEY2FhKjZ6qojPKm7vYrDQRNjbPLhYdsL/bseioooBQyUsLG0MLUbT7t278eWXX+Kvv/7C27dv8fbtW/z1119YtWoVvv/+e9odQjIJS0vL9i4CLTBVF9BxtFVU8SEj3bzdwlXkZRr01dRRdNEBU7XV6qodUPCLzcKKoeYYZauLB3FZqKr+eA0nptcZE2GCNlqMprFjxyIqKgpTp06FsbExjI2NMXXqVERERGDcuHFQV1eHmppau69M+xiov3qQKTBVF9BxtKXnlzW6LYoo6m+1UpeOoosOmKqtVtesY0GYe/IpniXkwN5QDXaGalj0+3MsPPO8iRQ6LkyvMybCBG207D3n6+tLR7IsLCzNIDW/FHqqcu1dDJZ2pqKKD1lpKQw27wQrXWVIS3HQTU8FhNR4ha+s5gs4OWVhYWkYWiaC/xehawJbZWUlZGVlJZZeR4GpuoCOo+16WCqq+Hx86mDQrPMWnH6O3z7rBSkpwV6njqKruey9HYsFg7tATYHbYJyPVVtTVFZW4jf/JMhIcbDYuatA2NOEHKTmleLv0HcY20Mfo7rrQoHbofdwF4DJdcZEXUDT2v6zE8EB4NGjR5g9ezYGDBiAd+9q9r36/fff4e/vT1eWjIQJ3ZmiYKouoONoe19UDi0lXrPPU1eQRW5JhdDxjqKrOfzo8wo/+76G56N4NPZ++DFqE4fI6Bj8+uAN3AeYCIX17aKBCQ6dYW+ojq/+DMPpJ0ltX8BWwNQ6Y6ougBnaaDGaLl26BDc3N8jLyyMkJATl5TXO8vLz8+Hh4UFHloxFSoqZ3eZM1QV0HG1ZheXopNx8o0lTiYf3RcJGU0fR1RyCk3IR+a0bDvu+wf2YzAbjfYzaxCG9qBrT+hhCTla6wTgrXc0Ru3Mk/ghMQmhKXtsVrpUwtc6YqgtghjZaFOzcuRNHjx6Fp6enQFfcwIEDERISQkeWjMXU1LS9i0ALTNUFdBxtLe1p0lLiIqOgTOh4R9ElLknZxVDiyUCRJ4M7q52w80Z0g71NH5s2camQ00DXTkpNxuPJSENHhYcJhx/jiN+bNihZ62FqnTFVF8AMbbQYTbGxsXBychI6rqqqiry8PDqyZCyvX79u7yLQAlN1AR1HW3ZRBTQVG57H0xhzTjwVOtZRdIlDVGoBpv0aiLVuNUucLXSU0d9UE08TckTG/5i0iUtZZTV8Xiaiu4GqWPEvLR2A618MwnH/BLgdeIjXmUU0l7B1MLHOAObqApihjRajSVdXV+TF8ff3Z4Sl2ZbIyHw8EzObA1N1AR1HG0HjLgQawkq3ZgJm/V6ZjqJLHB6/fo+9U+xgoqVIHfusvzH84rJExv+YtInLgbtxiMqqgLWeeBNqORwOuhuoop+pBpJyivHVxVDw+R13nRAT6wxgri6AGdpoMZoWLlyIlStXIigoCBwOB6mpqfDy8sLXX3+NpUuX0pElYzEyMmrvItACU3UBHUNbTnEF1BtZLdYYg8y1MLOfEd7lCW531BF0iUtwUi7sjdQEjmkpcZEnYoI78HFpE5fMwnKcnten2Ybzrgm2uLfGGYYaCrgWlkpT6YSN8ubCxDoDmKsLYIY2WoymDRs2YObMmRg2bBiKiorg5OSEBQsWYPHixVixYkWL092zZw84HA5WrVpFHXNxcQGHwxH4LFmyROC85ORkjBkzBgoKCtDW1sbatWtRVVUlEMfPzw89e/YEj8eDmZkZTp061eJySpL4+Pj2LgItMFUX0DG0vcoohJl203NZGsJaTwXRaYUCxzqCLnHIKa5AFZ9AiSf4VquqIIvAeNHDcx+LNnFJeF+M3JIK5KSnNPtcNQUuDNQV8O14G9wMT6OhdMCDuCwcedC6uVNMq7NamKoLYIY2WowmDoeDTZs2IScnBxEREQgMDERWVhZ27NjR4jSfPXuGX3/9FT169BAKW7hwIdLS0qjPDz/8QIVVV1djzJgxqKiowJMnT3D69GmcOnUKW7dupeIkJCRgzJgxGDJkCEJDQ7Fq1SosWLAAt2/fbnF5JQWP1/yJvB8DTNUFdAxtz5Ny4VCvp6U5dNNTQXSa4DZHHUGXOOQUl8O0k6LQcZ6MNDILypBdVC4c1gJtlR10C5JXGYUYceABxtvpt6rONJV4UJKTQXq+8KKA1nIp+C1yRKzQbA4dpT1Kuh10FF10wARttK7/43K5sLa2Rt++faGk1PK33qKiIsyaNQuenp4it15RUFCArq4u9anrFOvOnTuIiorCH3/8AXt7e4waNQo7duzA4cOHUVFR86M9evQounTpgn379qFbt2744osvMHnyZBw4cKDFZZYUurq67V0EWmCqLqBjaEvKLm5VT5OVrjJi0wV7mjqCLnHIL62EqrxoB3pbxlrj4L1XyC8R3F+vJdrMN3m3qHzNpbyqGt5i9vgQQuBxMxreK50wsadBq+tslK0evCNa3ttECIHtttuIeJdPfS8ur0JSdjGKK6pbVbb2bo+3ItKx8vwLmG/yRvjbfIml29666IQJ2iRmNE2cOFHsT3NZvnw5xowZA1dXV5HhXl5e0NLSgq2tLTZu3IiSkhIqLCAgAN27d4eOjg51zM3NDQUFBYiMjKTi1E/bzc0NAQEBDZapvLxcYONhujYfTkr6uBzOiQtTdQEdQ1tOcQU0WjinCQAUeTIoqxR8qNXVFZNegP/djmlx+q2hqbkwGQXl0FISrX1Kb0OEpuTBYccdgePNrbP80hqjq6SiqomYrSc4MRdLvUJg/90dpOWXYuhePzxPFD3M+Ph1Nmz0VSmDubVtcbC5Fu7HZLZ4/lFWUTl6Gatj7E/+6OdxD1ZbbuGLsyH4fFCXVl+79v6deQUlgQOgp5Eaxv3sD/9X7yWSbnvrohMmaJPYVHZV1Q/LWgkhuHLlClRVVdG7d28A+D975x3W1PXG8W8SSJhhypIlggNBQFTEPVDcs+66Rx1t3Vpbq7bOWrVqa9VqXa22bn91D9wKqChTQGXvvUeA5Pz+oEQCCSQhETjN53nyQO4999zzzTn33vee8573ICAgALm5uTIbTX///TdevXqFFy9eiN0/ZcoU2NjYwMLCAsHBwVizZg0iIyNx8eJFAEBqaqqIwQRA+D01NbXONPn5+SgpKYGmZu1FT7dt24bvvvtOJi3yIO7cNECrLqBpaCMEtZZBkRUBISCECB2Jq3RlFfKw5nwwghLzMLiDudgp7bnFZXUuWyIvmYU8dN58F27W+tg70Q3WRlq10tx9k4YV3uJXU2cxGTi/0BNL/w4UKaOsdXbxVSIs9DTguP4Wrn3ZEx0spJvWLyuFvAocfxaLJQMc8OhdBmYcfQ5jXQ6OPYtFZ1vDWumjMwvR2fZDb3xD26KGOgvd7IxwOTBJ5uV4gErj3aklFz+O74j3aYXQ0VBDSl4pvNqb4mpww/ylGvM6qwocu3uCKwCgiFeBmceeo525rlyx0arTFO4fyoIGbQrraTp27JjwY2pqigkTJiAmJgYXL17ExYsXER0djUmTJsHY2FjqPBMSErBkyRKcOnUKGhriFx6dP38+vL294ezsjKlTp+LkyZO4dOkSoqKUG6Bt7dq1yMvLE34SEmR3uJQGWX6v5gStugB6tDm11BOZPWVsbIz0glK4b74rdBIf8csT3H2TJkxTXFaB4T8/huv3dxCbWaTwMvlGZaGdmS4+9bDBxithtXpAKvgCZBWVoaW+5JszR40FdxsDPHn/oWdA1jpLyC7B0VldAADD9j3BZ3+8lBgDqiFcepUIW2NtLBvYBpcW9cBot5aY38sOJWV8sb0/8VnFsDT4YEgqoi3O62WHdZdCcUgOx+2qWZwmuhrobm+Mjpb68O5gBhaTAV5Fw3yBGus6e5tWgC5b7sKj1QejVZujBu8OZhj5c8OXCaPl/iEOGrQpxafp6NGjWLlyJVisD6H7WSwWli9fjqNHj0qdT0BAANLT09GpUyeoqalBTU0NDx8+xL59+6CmpgY+v/aYuIeHB4APQbTMzMyQlpYmkqbqe9X4qqQ0XC5XomXM4XDA5XJFPspAWcZYY0OrLqDxtZWW88FWa/ilvbifPf7wjRNO009ISMCRxzG4uKg73m4ZgphtQ/HHnK6Ye/Il0v+NIL7mQgiMtDm4sLA7DjyIUpgTcTlfAL6A4H5kOo7M6Ixx7pZwsuDifqTo0NGr+Fy429T2e6zJ2E6WOPksThiHSNY6i80qgq2RNl5/OxDOLfVQXMbHhEO+Cjec/KKz8Xl/e+H3RX3t4eVoChNdDjIKaju0x2cXw9rwg9GkiLbIVmMiaMMgvI7PRU5R3c7bZRUC3AxNQWRqAdLzSxGdUQQrw9q9gQBgoaeBhOxisfukobGus98fx2D14LYY7GQusn12j1bQ4qghLqthLwuNff9QJjRoU4rRVFFRgYiI2v4OEREREAikf7sYMGAAQkJCEBgYKPx07twZU6dORWBgoIhRVkVgYCAAwNy8skF7enoiJCQE6ekf1p26c+cOuFwuHB0dhWl8fHxE8rlz5w48PT2lLquyaIgDfVOmobrSC0ph+9U1sQ+Oxqax6yw9nwdTrvieWVnQUGfBTE8Drt/fQUJ2MZgcTbxNK0An60qjhMFgoJdDC+wY1xHPorLw5F0m/KOzcGJ2V7jbGMBAm42FpwLk8l3JKy7Ho7cZ4AsIXsXnoNcP9+Hy3W1kFpYJe1Lm92mNvT7v4bbpjtA4exGbjS5ihq1qYqjNxlBnM6y9GIIiXkW9dSYQENh+dQ03QlKw5dobWBtqQUOdBQNtNq580RN/zPHA6bke2H+/4RGPyyoEiM8qxsI/A1DGF4CrUdup3a6FNr6/+kY4wzEsOQ/hKfko5wtEDGZFtUU1FhODncxwJzxNYhpCCMYeeIp/gpIx7Xd/dN3qg3WXQ9HTXnzvwqfdbNBrx32c8o9DUEIutl4PlymYZmNcZ4W8CuSWlGFRX/takw2YTAa+6G+PgLgclJbz5TYIJenKLOShuKwCfAHBd2J6WZsDjX1vVARKCc85a9YszJkzB1FRUejatSsAwN/fH9u3b8esWbOkzkdXVxdOTk4i27S1tWFkZAQnJydERUXh9OnTGDp0KIyMjBAcHIxly5ahd+/ewtAEgwYNgqOjI6ZNm4YdO3YgNTUV69atw+LFi4XTHxcsWIBffvkFq1evxuzZs3Hv3j2cPXsW165dU9AvIj/K6sFqbBqq6/fHMehpbyz3orTKpLHr7H1Ggdgp9/Lw4ycuGN7RAnNPvERkWgF2jKsd8sPDzhATD/nBylATywa2EW7/akg7XAhIxNWgFEzoYiXTeScc8kVkWgHYLCZMuBycX+iJlvqaqP6c0OGo4fRcD0SmFeDw42isHtwWD99mYE7PVlKdY2aPVvjqQjC6bfXB1M5mmGVYClOuBmIyi/AyNhvjO38o84O36RjbqSUWnnqFz/vZ45thtX2mutsb468XCcgrLoeelvjZe9LQ98f7SM4rxa9TO8FJgq/UxM7WSM9/h7UXQ/DDuI745lIocovLMNBR1DdTkW3R3cYAhx9HY0Jn0bosqxAgq4iH6Iwi9GhtjLVD2wOofMin5pVCmyP+MePUUg8v13mh8+a7sNDTgK2xNp5GZaKXQ4taaQtKy/EyLgf92pooRZu03AxNhUcrI4n73W0MsONmJNILeLgVlooLC7pL7Vv46G0GPOwMxeryi87C91feIL2gFDZG2giIy8HCvq1hotvwl6OPSWPfGxWBUoymnTt3wszMDLt27UJKSqWzn7m5OVatWoUVK1Yo7DxsNht3797Fnj17UFRUBCsrK4wbNw7r1q0TpmGxWLh69SoWLlwIT09PaGtrY8aMGfj++++FaVq1aoVr165h2bJl2Lt3LywtLXHkyBF4e3srrKzykpycDEPD+t+cmxvy6IrLKsKT95mY0tUab1Ly0a+dCbKKml5PU2PXWXBiHvq0qf3gkQdNNguDnczQxlQHv90OrPVQBgAbI234fT1A7PHDOppj7K/PMKyjucSHZ3W2XQ9HfmkF3Kz1cXaBJ96nFyIqoxAt9TX/DV4rml6bo4ZO1gbYeSsS514m4pNOltBQr90DLYnt4zrCQJsN/8gkEBYbuhpq2Hn7LZgMwNGCiw4WesgtLsOyM0G4vLgHPnG3hKed5Iemg4kOYrKK4KqlL3UZqhOekg99LTZ2TXCFZ2vJ59HTUse64Y5w+e42Rvz8BKsHt4WbtQHam+uKpFNkWzThcpCeL3q9vU8vxK8P3iMwPhd8QnDli57CfcY6nHqdoo11OIjdPgwxmUVgqzGx+/bbWkbTaf94fH0pBIbabPRra4LXCTmY0NkKPY1KPtp1RghBSFIe/heYhMPTO0tMZ2mgBVsjLcRmFmFcJ0t8dTEYBtpsOJjo4kpQMk7M7ir2uKiMQnz2RwC2jHFCG3auUFdJGR8a6kxsux6OfZNdwdVQx67bb+FmpY/8kvJmZzQ19r1RETCIkvv4qqbii7Mwnz59is6dO1MR8Co/Px96enrIy8tTqDUdHx9PRej5msiiq6SMj9UXguEblQmAARsjLQxxMkNHS30sOxOIL/rbY1LXpvMbNXadffbHS+yd5CaT8SAN8uracu0NCAHWDXcU2R6XVYRNV8OxdYwTeu24D16FAN3sDDHD0xaDncxkWv7j+NMYbLzyBq+/HQgDORYpjo6JQ/9DofBqb4pD09yRnFuCNReCcWCqO+6Ep2HluSDEbh9Wbz5nXsQjs7AMi/vZ15u2JoQQfPHXayz1coC9iW79B/zLkcfRGOxkJuIAXoWi2+Lwnx/jfXohxrhZIquQh9tv0rDUywFLvdogNa8UZnoNe4hPP/ocx2d2AZPJQE5RGcb8+hQOprpwstCDl6MJMgvL8OVfr+FpZ4SZbnro5iT77ywPnTbdQXZRGZ6s6Sf2d5bEk3eZWHkuCBrqTLQ108Uq73a14qdFpOZj1blgfD20PXbficQPg1vCztYGAPDdlTBoqrOQlFuCvZPchMfsv/8e3ewM4W6jXAOk+uxZRVBfe1TWc1SRKH31vLqEDxkyBIGBgapFfOtAS0v6C7Q5IYuuS6+TYKzDxoNV/aClzsK9iHQMaG+CnOJyJOWW4GpwSpMymhqzzggh4FUIFG4wAfLr+maYI6b97g+BgIgMVey//x6dbPSx6nwwlg1sA0dzLnraG8sVKmGKhw202GpyGUwAwNXVxp6JrujX1gQsJgNWhlr4or8D9vq8Q0sDTfw5x0OqfPq3M8Vnf7zEgj6twZJBRyGvAivPBqGlgaZMBhMAzO0l+f6p6LZ4aFpnBCfkIjAhF93sDPHjeBehb09DDSagcvmeNyn5aG/OhdumOxjj1hK7J7iIPLiDNgxCWHIejj96i1bWpXj4NgNWBlp19szJy+9PYnDiWSz6tTWBi5VenbMyxdHTwVjYC/surQBeux/iyuc9hWE6yioEGLznMVZ5t4VnayN4J5vhVSoPdraVx8dlFSMuq6hW75aRNhuJOSVwt2mwRIkU8SrgsdUHlxd3l7lNSoKG51mjLjncHB3ZPjapqalUTNOsiSy6ojMKMa2bjXAtMa9/h4gM/vUbaWumi6NPYjDFw1opxoIsvI7PwZJTr9C/Q0uMcrWAm3X9M7kUSVZRWYPjxEiiIW2xvTkXb9ML0M6s8iUqNa8UxWV8LOprj0V9G142thpTZr+p6qSmpmK0m6j/pGdrI/z2qHKaff92JuIOq0ULXQ5exefir+fx+LSbdE+0i68SsfxsEFZ5t8XcXtL5Y0mLou8fLfU10VJfE0OczetPLAd2xtr4+0U8/vSLBwBsHNFBbE9HBws9xGUUYNaxFzDlclAhIHiXXoDpnrYKLc+LmGwcmdEZplwNiVHmpcXBVBdnP/PE+YAEZBbyYG+ig1P+8djxSUehn9j4zlZw+/42kgoZ+HKAPQgh8FnRt1ZewzqaY/Hp13C3MZCp50sWDj2Mwszutpj0mz/81vZHaYUA2YVlYmOjSQsNz7NGNZpU1I+4ZWNoQBZd+aXl4Iq5YTEYDERvHYpygQDjDjzD/4KS8eecrtAVM9tIVmIyi3A7LBWf9WktUzl33IzET6MdMO7EG/hEpOHhyn5gMhlILyj9KP4HcVnFsG3ATa0uGtIWLQ00kZpXKjSazr5MwGjXlooqWoORpI2jxkJYch7MZexFYUoxpJFXUo47byqH/qK3Dm1wMFJxNLf7h4W+JlZfCMbj1f2gq6FWp0P9572t0crKAlaGWijkVWDYvscY6mwO36gsDOpgCo5aw16g/glKBovFQBtTxfSyAICbtT6uh6Tgn6BkXHqdhFk9bDHe/UPQUD1NdczrZo4n7zOQnFsi0SDS1VCHkTYbPX+4L9WwcRWEEGQU8vDkXSbcbQxgYyQ6YSQlrwTHnsaiT5sWeJNSgMPT3WFrrI0OG26ho6UeLPQ1UVzGx+HpnWv1HEtDc2uP4lDq2nMqGo66esMNgKaINLoKSstRWs7H2ZeJYqddA5XTfDlqLFz9ohf6OBjjh5sNX9qjuKwCX10IxpkXCbWWEqmLv/zjMc7dElZG2ojaOhQTO1vhyJNoLPn7Nbpu8UFJA9fakob4bMlxcRpKQ9qim5UBZh57gaCEXGy++gaP32Wgp0PTeeOUpG20mwWMdTky9WCeW+ApXGalOoQQXHyViONPY1BWIcCNkBQcehiFw9M7K8VgAprf/cOEW9lLamWoVW9E+XbmXGFb1+GoYXJXa8w7+RL3I9Kx7XrD7gOEEJx7mYB91fyIFIE6i4mNIzvgp4muiN0+DBvE9KTN8bTE2c880d3eCPN7Sx563TneBf3bmeB+ZLrENDXZ8E8Yum7xwYVXiVh5LgjbrocjPCUfz2Oy0WH9TYz79RnyiiuN+U2jK8s2rlNL/DTRFRrqLOyd5Aa+gKCkjI8v/notu/5m1h7FoTKamjjV40s1JWYcfY5nUfKvtVSfrvSCUvTb+QDtvr2JsZ1aShWscfmgtojPLpG7THwBwY6bEfDY4oOScj6mdrPB2Zf1B2Pb+E8YbL+6hrvhaRjtaoH09HSwmAyM7WSJP/3ioanOwrxereC95xEiUwsgEBCceRGPgtLaD9aGEp9VIhLcUJE0pC06W+rh7vI++PSIP0y4HJxb0L3Rh1KrI0nbYCdz7J/SSaa8THQ5SC+oHdTzwqsk+Edn401KPr786zUuvk7C+QXdxc5IVBRN9f4hCQcTHbz6dqBUaWtqG+9uiU/cLbFrggvepRfgbVoBfn3wHsvPBmLhnwEAgNCkPKlehPbcfYchTuYy+aUpivT0dDAYDIxybVnnCxCLycBSLwf8dOctwpLrXzB4+40IZBWW4eU6L5ya2w2tW+ggMq0A048+x8I/A/Db9M54sKoffvikIzaO7ABzvUr/LQaDgaHO5vjjX7++9ua6WHsxGL3byP7S09zaozgadXhOkV75tGJkJNm5MTazCLbGionHIwvhKflgMRk48CAKlvpaKC6vEA67SEtdugDg0qsk/DjeBUbabDi3lH5dLxNdDpJyS2R22ASAleeCkF1Uht0TXTHQ0RR8AcFnf7zEYCcziUNrpeV8XA1Owc7xLrA10oIaiynUZqGviUer+wGodPg05Wpg7K9P4dnaCL5RWQiIy8GOT1xkLmddpObLp10a6quz+mjdQhu/Te+MbnZNb8pxQ7VVx0RXA8eexmLloLbCMAu5xWVYeS4IEZsGQ0AI/glMRpdWhg2K5yQNitT1MWAwGDCU0pm/pjYjHQ6melT6kW0Y0QFjf32G/u1MYK6vgYwCHi6+SsSGf8JQViHAidld0U1C6IjQpDzs9XmHmG1DGyZGTmSps46W+tgz0RU/3IzAoWmSQyHEZRUhObcE+6d+eAHYLibmmjTM790avz+OxvCOFjIf29zaozgU3tNECEF8fDxKS+tfPkHlCC4fhBBEphag784HwuUrPiYhSXkY49YS0z1tseJcIL786zW+uhAsdkhCHl7EZuNBZAZ6/btWlSzG9cQuVvj7ebzM5/SPzoKBFhsnZncVvvmzmAxM97TFKT/J+R17GouvhrTDJ+6WYhdQrYKtxsTcXnY4MbsrDLTY8P/GC2UVAsQoeH22jIIyGCnJEbyhMBgMeLY2ov5lSZPNwkBHU/hGZQm33YtIx7axztBQZ0GLrYZJXa3RukXzj47cVGljqovgDYOwb7Ib1g5pj0V9W2P//fe4v7Ivrn3ZC3/6xUkcLr/8OglXPu/ZbNqpXQsdaLHV0HvHfbHPVL6AYNPVN1jUT3r/zLrQ01TH8movBP81lGI02dvbS7XGTEFBgSrcQD1kZWXV2pZXUg7vPY9gbaiFx+/kHyKTF5/wNPR2aIGBjqY4t6A7zn3WHcl5pbganFz/wf8iTlfVBX/xVSJ+GNcRaizZm2dnGwO8is+RaTkGADj8OEbsTaWXg7HE/Mr5Atx+k4oxbqIOzeK0CctnWzlNW4ejhi8GOGDwnkf42ecdyhq4eGkVhBClDSnUpau5o2hts3u0QlRGIZJyS1BWIcD5gMRa7eRj8F+us+p+YvYmuvBZ0RfGOhy0bqGN9uZcLPgzAHkl5ajgf7j2BAKCiNQCOLVsvBhB8tTZV0PawdJAE+/SC2vtexaViQ4WejKPBigDGtqjwo0mJpMJBwcHKn6cpoCJSe2pzpmFPAxxMsPZzzyx4lwQ/vSL+2jlqVo4tfqwgp6WOg5M7YQnMhhw4nRtvxmBT4/4IyAuR+5prQwGA84tK2P/SEtybgkMtdXFTtVnMBgY0M4Eq84HIzpD9IYUlJCLXg4tahkp4rSJo3ULHawf4QiOOhMb/gmVurySUHbPrbS6miOK1tahJRd33qShx/Z7aLPuBj5xly1SuaJQ1VltGAwGFvezx/CO5nD57jb+qHb/DIjPgbuNQaP2Msmjy5SrgU+72SAwPldke3p+KQ48iMKsHraKKVwDoaE9KsURfPv27Vi1ahVCQxv+IPivU15ee8grObcUXVsZwkxPA79O7YTrISlIzy/F85hspT44gxJyMfPYc7Q2qT2soM1RQzmfICG7GM9jshGalFenEVVTV0kZH1HplcukfNHfoUHlbGWshQuvEqX+LV7EZsPVSvJU2GmettDTVIfX7oe4HZYq7BW68CoJo11rj+uLqzNJTPWwwfzerZGSVypc2Da7qAyFvAo8eZeJIXsfY97Jl1jwRwAiUwvqzCujkKe0GE2AbLqaG4rWxtVQh4edIVYPbounX/XH2E6W9R+kBFR1Jpnxna0QvHEQXsblCLfdDE3FEGezhhatQciry9VKH68TckS2fX/1DWZ2t613JuLHgob2qJRByenTp6O4uBguLi5gs9nQ1BR1TM3OzlbGaakkJycHLVuKdutHZxSi1b8O4EOdzVHOF2DTtXA8j8nCau92GOeu+Bs0IQS77rzF5K7WEtfemt/bDr123Ed7cy7UmAyEJOXBq70pMgt52Dm+o0hU2eq6ingV6LDhFmb1sJUp5ogkqmacJGSX1NtjlZhTjFP+8Tg2s4vENCwmA+tHOGJqN2t8fvo1TvnHo5eDMXjlfNiJ8UsRV2f10b+dCa6HpGJ4R3MsPRMIv+gsGGqxsXWsE6LSi8BRZ2LtxWBcWNhd4lvw+7TCWks0KBJ5dDUXlKFtlXc7heYnD6o6qxuuhjoSs4tx+FE07E118CwqC+uGtVdQCeVDXl3mehpIy+ehnC9Aal4pvr4UAgMtNgZ1aFwjsDo0tEelrD134sSJOvfPmDFD6rwOHDiAAwcOIDY2FgDQoUMHrF+/HkOGDAEAlJaWYsWKFfj777/B4/Hg7e2NX3/9FaamH6bxxsfHY+HChbh//z50dHQwY8YMbNu2DWpqH2zGBw8eYPny5QgLC4OVlRXWrVuHmTNnSl1OZa2Zk5mZWSuC6vr/hWJeL7ta01HLKgT45OAz/DHbQ+5ZOcVlFdBiq6G4rAKsf2MgAcC9iDTcj8jAptFOEo8lhCA6swimXA38eDMC9iY64FUIwGIycCUoGafndRMOUVTX9bPPO7Qx04W3gi5uQghuhaXhfXoBPq+j1yq3uAxdt/rg4sLucJJyhh4hBH/4xUGdxcQYt5Zih1zE1Vl9JOWWYN6Jl3iTkg/vDqZY6tUGEan5GOP2wQDedPUNXK30McJF/KyVk76xsDLQQj8po1fLijy6mgu0aqNVF6A4bY/fZWDuiZcw4XJwa2lvaLEb18G5IbpG/fIEFQKCsOR87Jvshm6tDGHCbTqL+tanrTmsPQfSxPnnn3/ItWvXyNu3b0lkZCT5+uuvibq6OgkNDSWEELJgwQJiZWVFfHx8yMuXL0m3bt1I9+7dhcdXVFQQJycn4uXlRV6/fk2uX79OjI2Nydq1a4VpoqOjiZaWFlm+fDl58+YN+fnnnwmLxSI3b96Uupx5eXkEAMnLy1OceEJIXFxcrW2zjz0nFXyB2PRBCTlkzP4n5PLrRBKbWUiyC3mEEEJS80pISm4J4ZXzCSGE8PkCklFQShJzioXH/nQnkgzc/YBcepVIPLbcJbtuR5KJh56R409jyPiDz0hStbSycujhe7LzVoSIrtyiMpJdyCPTf/cnAoF4PfJSwReQvj/eJ35RmbX2CQQC4hOeSrx/ekhuhaYo9LyEiK8zaXnyLkNYRzXJKuSRUb88kbh//eUQEp9VJPe566Mhupo6tGqjVRchitX2MjZLqdeOLDREl82aq+Skbyx5/DZD4fdURVCfNmU9RxWJ0kzqqKgoHDt2DFFRUdi7dy9MTExw48YNWFtbo0OHDlLnM2LECJHvW7ZswYEDB+Dn5wdLS0v8/vvvOH36NPr37w8AOHbsGNq3bw8/Pz9069YNt2/fxps3b3D37l2YmprC1dUVmzZtwpo1a7Bx40aw2WwcPHgQrVq1wq5duwAA7du3x5MnT/DTTz/B29tbcT+KHOTn54t8J4RAUMcMqY6W+jg6swu+vhSCJX8HwtGci32TXfHZHwEo5xPEZxdjqLMZCnl8PHqbAQCw0NPAaLeWSMkrxZ9zPTDql6dY5d0Wvz+JwZuUfERlFOHpmv5SBZiUxPzerbHwzwBEZxTCroUOnr5Lx9pfQ2BrpIU9k9wU7njJYjKwb5Ib1v8Tih/GdRRZCuF/gcm4G54GU66GUgIL1qwzWehhL/ktzFCbjbGdWuLrSyHYOb52fKfEnBJYKClGE9AwXU0dWrXRqgtQrDZ3m6YTO6whuvQ01WGoxW5S0farQ0V7VIYl9uDBA6KpqUm8vLwIm80mUVFRhBBCtm3bRsaNGyd3vhUVFeSvv/4ibDabhIWFER8fHwKA5OTkiKSztrYmu3fvJoQQ8u233xIXFxeR/dHR0QQAefXqFSGEkF69epElS5aIpDl69CjhcrkSy1JaWkry8vKEn4SEBKVYyFlZWSLf0/JLyKpzgVIf/zY1n3TbepdcfJVA+HwBKa/gk8D4HHLaP47w+QJyLTiZBCfkEps1V0lOEU9sHop6Y0nILiL9frxP7oSlkgm/PibBCbkkOVf+3itpOPwoirRbd4PEZhYSQip/v74/3idp+SVKO2fNOlM0s449J/klZeReeBrJLS4T2a5MlK2rMaFVG626CKFXW0N0FZSWN8kepirq09YcepqUMnvuq6++wubNm3Hnzh2w2R+89vv37w8/Pz+Z8wsJCYGOjg44HA4WLFiAS5cuwdHREampqWCz2dDX1xdJb2pqitTUVACVqypX92+q2l+1r640+fn5KCkRvyzHtm3boKenJ/xYWcm/wnpd1LTMU3JLZepNcDDVhe/aARjjZgkmkwE1FhMuVvqY3NUaTGZleHxnSz28+MZL4gwLRfUCWRpo4X+f98DCUwHo3FITzpZ6wlD9ymJuLzucmueBPj8+wLgDz/D1xVBsHu2k1MVzlf02pa+ljnknX2LW8RdYcTYQGQW8jxIoloq3RAnQqo1WXQC92hqiS4ej1qSDctJQZ0oZngsJCcHp06drbTcxMUFmpuzBGNu2bYvAwEDk5eXh/PnzmDFjBh4+fKiIosrN2rVrsXz5cuH3/Px8pRhOhYWisYHSC3gwVYJjXwvdjxNFWldDHZcW9UBFluxRu+Wlk7UB3nzvDV65AAZSLtHQEGrWmaL5dlhlbCctthr+CUrG4tOvsH9KJ+goOUKvsnU1JrRqo1UXQK82WnUBdGhTyl1WX18fKSkpaNWqlcj2169fyzXdkM1mw97eHgDg7u6OFy9eYO/evZg4cSLKysqQm5sr0tuUlpYGM7PKmVhmZmZ4/vy5SH5paWnCfVV/q7ZVT8PlcmuFS6iCw+GAw1G+oVHTEEvLL4W5XtOZDSEPTi31kKdj/VHPqcVWw8cKVaKsXscqqht+I10soMZkYOv1cJhyldsela2rMaFVG626AHq10aoLoEObUobnJk2ahDVr1iA1NRUMBgMCgQBPnz7FypUrMX369AbnLxAIwOPx4O7uDnV1dfj4+Aj3RUZGIj4+Hp6engAAT09PhISEiKyufOfOHXC5XDg6OgrTVM+jKk1VHo1JzZ45ZfU0fWzk6XFsLnxsbd4dzHA9JEWpQ46Aqs6aI7TqAujVRqsugA5tSulp2rp1KxYvXgwrKyvw+Xw4OjqCz+djypQpWLdunUx5rV27FkOGDIG1tTUKCgpw+vRpPHjwALdu3YKenh7mzJmD5cuXw9DQEFwuF1988QU8PT3RrVs3AMCgQYPg6OiIadOmYceOHUhNTcW6deuwePFiYU/RggUL8Msvv2D16tWYPXs27t27h7Nnz+LatWsK/21kpaZPVUZBKUyU3KPwMZDkK0YDH1sbi8kAr0Kg9AU0VXXW/KBVF0CvNlp1AZRoU6aXeVxcHLl27Ro5c+YMefv2rVx5zJ49m9jY2BA2m01atGhBBgwYQG7fvi3cX1JSQhYtWkQMDAyIlpYWGTNmDElJEY29ExsbS4YMGUI0NTWJsbExWbFiBSkvLxdJc//+feLq6krYbDaxs7Mjx44dk6mcyvL6z8/PF/k+98QLiTGamhM1ddFEY2jbfDWMPH2XodRzqOqs+UGrLkLo1UarLkLq19YcZs8pJSJ4DaMMgOJmYDVVlBXJ9N27d3Bw+BDVevbxFzhax5IfzYWaumiCVm206gLo1UarLoBebbTqAurX1hwigivFpwkAfv/9dzg5OUFDQwMaGhpwcnLCkSNHlHU6auHxeML/BQICWkzP6rpog1ZttOoC6NVGqy6AXm206gLo0KYUJ4j169dj9+7dQv8iAPD19cWyZcsQHx+P77//XhmnpRI7Ozvh/6n5pTBr5jPnqqiuizZo1UarLoBebbTqAujVRqsugA5tSulpOnDgAA4fPoxt27Zh5MiRGDlyJLZt24bffvsNv/76qzJOSS3x8R/iGcVmFqGVsXYjlkZxVNdFG7Rqo1UXQK82WnUB9GqjVRdAhzalGE3l5eXo3Llzre3u7u6oqKhQximppfrvFZtVDBsjOowmmtsBrdpo1QXQq41WXQC92mjVBdChTSlG07Rp03DgwIFa23/77TdMnTpVGaeklqqgnkBlYEtlBzD8WFTXRRu0aqNVF0CvNlp1AfRqo1UXQIc2pTuCz507F3PnzoWzszMOHz4MJpOJ5cuXCz8q6iY6Olr4f2YhD8Y6dBhN1XXRBq3aaNUF0KuNVl0Avdpo1QXQoU0pjuChoaHo1KkTACAqKgoAYGxsDGNjY4SGhgrT0R6GQBEIBALh/1mFZTDS+UhrgSiZ6rpog1ZttOoC6NVGqy6AXm206gLo0Kb0OE11kZiYCAsLCzCZSuvw+mgoK75EeXk51NXVAQBzjr/A7xTEaAJEddEGrdpo1QXQq41WXQC92mjVBdSv7T8dp0kaHB0dERsb25hFaPJERkYK/6epY666LtqgVRutugB6tdGqC6BXG626ADq0NarR1IidXCpUqFChQoUKFTLR/MfFKKdt27YAgJIyPjjqrEYujeKo0kUjtGqjVRdArzZadQH0aqNVF0CHtiZvND169AgjRoyAhYUFGAwGLl++LLJ/5syZYDAYIp/BgweLpMnOzsbUqVPB5XKhr6+POXPmoLCwUCRNcHAwevXqBQ0NDVhZWWHHjh3KliYVVd2ZyXklMOfSEQ0coKObVhK0aqNVF0CvNlp1AfRqo1UXQIe2Jm80FRUVwcXFBfv375eYZvDgwUhJSRF+/vrrL5H9U6dORVhYGO7cuYOrV6/i0aNHmD9/vnB/fn4+Bg0aBBsbGwQEBODHH3/Exo0b8dtvvylNl6wk5ZTA0kCzsYuhQoUKFSpU/GdRSsgBaZEm5MCQIUMwZMiQOtNwOByYmZmJ3RceHo6bN2/ixYsXwijlP//8M4YOHYqdO3fCwsICp06dQllZGY4ePQo2m40OHTogMDAQu3fvFjGuGoOq7szEnBJYGmg1alkUCQ3dtJKgVRutugB6tdGqC6BXG626ADq0UeEI/uDBA5iYmKBt27ZYuHAhsrKyhPt8fX2hr68vsqyLl5cXmEwm/P39hWl69+4NNvtDDCRvb29ERkYiJydH7Dl5PB7y8/NFPsqgqjszPrsYVob0GE00dNNKglZttOoC6NVGqy6AXm206gLo0PbRjCZxBtKbN29gY2PToHwHDx6MkydPwsfHBz/88AMePnyIIUOGgM/nAwBSU1NhYmIicoyamhoMDQ2RmpoqTGNqaiqSpup7VZqabNu2DXp6esKPlZVVg3RIoiqGVVRGIexa0LHuHAAqYnNJglZttOoC6NVGqy6AXm206gLo0KZQBTweDytXrkTv3r3xww8/AAA2b94MHR0d6OrqYsqUKSI9MlZWVmCxGjYjbNKkSRg5ciScnZ0xevRoXL16FS9evMCDBw8alG99rF27Fnl5ecJPQkKCUs5jZ2cHAKjgC6DOav4NrooqXTRCqzZadQH0aqNVF0CvNlp1AXRoU+hTeO3atfjrr7/QtWtXnDhxAosXL8bhw4dx6NAhHD58GC9evMC6desUecpa2NnZwdjYGO/fvwcAmJmZIT09XSRNRUUFsrOzhX5QZmZmSEtLE0lT9V2SrxSHwwGXyxX5KIP379+DV8EHR42ecAMAhPVDI7Rqo1UXQK82WnUB9GqjVRdAhzaFOoKfP38eJ06cgJeXFxYtWgQHBwdcvHgRo0aNAlC5/ty8efOwb98+RZ5WhMTERGRlZcHc3BwA4OnpidzcXAQEBMDd3R0AcO/ePQgEAnh4eAjTfPPNNyIh3u/cuYO2bdvCwMBAaWWVBjU1NaTn82DCpWOh3irU1Bp1DoJSoVUbrboAerXRqgugVxutugA6tCm0pykzMxNt2rQBUNnjw2KxYG9vL9zv4OCAjIwMmfIsLCxEYGAgAgMDAQAxMTEIDAxEfHw8CgsLsWrVKvj5+SE2NhY+Pj4YNWoU7O3t4e3tDQBo3749Bg8ejHnz5uH58+d4+vQpPv/8c0yaNAkWFhYAgClTpoDNZmPOnDkICwvDmTNnsHfvXixfvlwBv0rDsLa2RlZRGYy06TKarK2tG7sISoNWbbTqAujVRqsugF5ttOoC6NCmUKPJ2toavr6+AIAXL16AwWDg+fPnwv3+/v5o2bKlTHm+fPkSbm5ucHNzAwAsX74cbm5uWL9+PVgsFoKDgzFy5Ei0adMGc+bMgbu7Ox4/fgwO54ORcerUKbRr1w4DBgzA0KFD0bNnT5EYTHp6erh9+zZiYmLg7u6OFStWYP369Y0ebgAAoqOjkVNcBgNtuhZwjI6ObuwiKA1atdGqC6BXG626AHq10aoLoEObQvvKFixYgJkzZ+LIkSMICAjAzp078fXXXyMiIgJMJhMHDhzAihUrZMqzb9++dYYmuHXrVr15GBoa4vTp03Wm6dixIx4/fixT2T4GHA4HuYVl0Ndi15+4GVHdqKUNWrXRqgugVxutugB6tdGqC6BDm0KNpqVLl8LExAS+vr6YPXs2Jk+eDGdnZ6xfvx7FxcVYtmwZvvnmG0WeknrMzMzwOCgTDqY6jV0UhSLJwZ4GaNVGqy6AXm206gLo1UarLoAObQqfwz5lyhT8/PPPmDx5MoDKnqJHjx7h5cuX2LBhAxVxGj4mcXFxyC0ugwFlPU1xcXGNXQSlQas2WnUB9GqjVRdArzZadQF0aFNZME0cTU1N5BSXQ1+LLp8mTU1619GjVRutugB6tdGqC6BXG626ADq0Kdxoun79OubOnYvVq1cjIiJCZF9OTg769++v6FNSjbGxMbKKeDDWaf5jwdUxNjZu7CIoDVq10aoLoFcbrboAerXRqgugQ5tCjabTp09j5MiRSE1Nha+vL9zc3HDq1Cnh/rKyMjx8+FCRp6SehIQE8MoF0FCnK7ilsiKoNwVo1UarLoBebbTqAujVRqsugA5tCnUE//HHH7F79258+eWXAICzZ89i9uzZKC0txZw5cxR5qv8MOjo6AEoauxgKp1IXndCqjVZdAL3aaNUF0KuNVl0AHdoUajS9e/cOI0aMEH6fMGECWrRogZEjR6K8vBxjxoxR5On+E+jq6gKQLSBoc0BZy840BWjVRqsugF5ttOoC6NVGqy6ADm0KHZ7jcrm11nDr168frl69ilWrVuHnn39W5On+E9x6HQMzPY3GLobCSU5ObuwiKA1atdGqC6BXG626AHq10aoLoEObQo2mrl274saNG7W29+nTB1euXMGePXsUebr/BAlFDAzraN7YxVA4NLxxSIJWbbTqAujVRqsugF5ttOoC6NCmUKNp2bJl0NAQ3yvSt29fXLlyBdOnT1fkKakns0QAa0Otxi6GwtHSok9TFbRqo1UXQK82WnUB9GqjVRdAhzaFGk19+vTB2rVrJe7v168fjh07pshTUk9CZgHMuPQNz6WmpjZ2EZQGrdpo1QXQq41WXQC92mjVBdChTanBLdPT0xEaGorg4GCRT1Nm//79sLW1hYaGBjw8PEQWHG4MWGrqUGPRF4PUwMCgsYugNGjVRqsugF5ttOoC6NVGqy6ADm0KnT1XRUBAAGbMmIHw8HDhYrsMBgOEEDAYDPD5fGWctsGcOXMGy5cvx8GDB+Hh4YE9e/bA29sbkZGRMDExaZQydbPVb5TzKht1dboinFeHVm206gLo1UarLoBebbTqAujQppQujNmzZ6NNmzZ49uwZoqOjERMTI/K3qbJ7927MmzcPs2bNgqOjIw4ePAgtLS0cPXq00crUz5LRaOdWJunp6Y1dBKVBqzZadQH0aqNVF0CvNlp1AXRoU0pPU3R0NC5cuAB7e3tlZK8UysrKEBAQIOKTxWQy4eXlBV9f31rpeTweeDye8Ht+fr5SymVkZKSUfBsbWnUB9GqjVRdArzZadQH0aqNVF0CHNqX0NA0YMABBQUHKyFppZGZmgs/nw9TUVGS7qampWOe1bdu2QU9PT/ixsrL6WEVVoUKFChUqVDQCSulpOnLkCGbMmIHQ0FA4OTnVGsccOXKkMk77UVm7di2WL18u/J6Xlwdra2uF9zjFxcVBW1tboXk2BWjVBdCrjVZdAL3aaNUF0KuNVl1A/dqqnp9VvtBNEaUYTb6+vnj69KnYQJdN1RHc2NgYLBarVkTztLQ0mJmZ1UrP4XDA4XCE36sqW9XjpEKFChUqVMhPQUEB9PT0GrsYYmEQJZh0tra2GD58OL799ttaw11NGQ8PD3Tt2lW43ItAIIC1tTU+//xzfPXVV3UeKxAIkJycDF1dXTAYinHezs/Ph5WVFRISEqiIpFoFrboAerXRqgugVxutugB6tdGqC5BOGyEEBQUFsLCwAJPZNEPtKKWnKSsrC8uWLWtWBhMALF++HDNmzEDnzp3RtWtX7NmzB0VFRZg1a1a9xzKZTFhaWiqlXFwul7oLCKBXF0CvNlp1AfRqo1UXQK82WnUB9Wtrqj1MVSjFaBo7dizu37+P1q1bKyN7pTFx4kRkZGRg/fr1SE1NhaurK27evNnsjD8VKlSoUKFCheJRitHUpk0brF27Fk+ePIGzs3MtR/Avv/xSGadVCJ9//jk+//zzxi6GChUqVKhQoaKJobTZczo6Onj48CEePnwoso/BYDRpo6kpweFwsGHDBhGHcxqgVRdArzZadQH0aqNVF0CvNlp1AfRoU4ojuAoVKlSoUKFCBW00Tfd0FSpUqFChQoWKJoZShudmz55d5/7GXMtNhQoVKlSoUKFCHpRiNOXk5Ih8Ly8vR2hoKHJzc9G/f39lnFKFChUqVKhQoUKpKMVounTpUq1tAoEACxcubHZhCFSoUKFChQoVKgA5fZpOnDiBa9euCb+vXr0a+vr66N69O+Li4sSfiMnE8uXL8dNPP8lXUhUqVKhQoUKFikZELqNp69at0NTUBFC5ztz+/fuxY8cOGBsbY9myZRKPi4qKQkVFhXwlVaFChQoVKlSoaETkGp5LSEiAvb09AODy5csYN24c5s+fjx49eqBv375Yvny5SHpCCFJSUnDt2jXMmDGj4aVWoUKFChUqVKj4yMhlNOno6CArKwvW1ta4ffu20EjS0NBASUkJXr9+LZKeyWSiRYsW2LVrV70z61SoUKFChQoVKpoichlNAwcOxNy5c+Hm5oa3b99i6NChAICwsDDY2tri/v37Ci2kChUqVKhQoUJFYyOXT9P+/fvh6emJjIwMXLhwAUZGRgCAgIAATJ48GSUlJSguLhamj4uLw549e3D79m3FlFqFChUqVKhQoeIjo5RlVAYNGoSxY8diwYIFyM3NRdu2bcFms5GZmYndu3dj4cKFij6lChUqVKhQoUKFUpF7GZXHjx/j008/Rffu3ZGUlAQA+OOPP/DkyRO8evUKvXr1AgCcP38eZmZmiIuLw8mTJ7Fv3z7FlFyFChUqVKhQoeIjIpfRdOHCBXh7e0NTUxOvXr0Cj8cDAOTl5WHr1q0oLi6Grq4uAOD27dsYO3YsmEwmunXrJjGOkwoVKlSoUKFCRVNGLqNp8+bNOHjwIA4fPgx1dXXh9h49euDVq1ewt7fH5cuXkZCQgFu3bmHQoEEAgPT0dHC5XMWUXIUKFSpUqFCh4iMil9EUGRmJ3r1719qup6eH3NxcrF+/HitXroStrS08PDzg6ekJoLLXyc3NrWElVqFChQoVKlSoaATkMprMzMzw/v37WtufPHkCOzs7fPLJJ4iPj8fLly9x8+ZN4f4BAwaILKOSmJgIgUAgTxE+On379sXSpUsbuxhgMBi4fPmyxP2xsbFgMBgIDAyUK/+ZM2di9OjRch2romlha2uLPXv21JmmvvZUFxs3boSrq6tcx6pofKS5Vzx48AAMBgO5ublynaOp3Df/y0hTB9LcKyRx/Phx6Ovry3Vsc0Quo2nevHlYsmQJ/P39wWAwkJycjFOnTmHlypXCmXFmZmZwc3MDk/nhFF27dkW7du2E3x0dHREbG9swBc0YeR46KSkpGDJkiHIKJCUzZ87Exo0bhd/79u0LBoNR61N9yZywsDBMmDABLVq0AIfDQZs2bbB+/XqR0BRVPHv2DEOHDoWBgQE0NDTg7OyM3bt3g8/ni6Srfi5tbW04ODhg5syZCAgIqJXn4cOH4eLiAh0dHejr68PNzQ3btm2TSu/FixfRuXNn6OvrQ1tbG66urvjjjz9E0vTt2xfHjx+XKj95kOfG9OLFC8yfP185BZKSjRs3YubMmcLvM2fOFNtWqr+EJSQkYPbs2bCwsACbzYaNjQ2WLFmCrKysWvlL265sbW2F59LU1IStrS0mTJiAe/fu1crz0qVL6NatG/T09KCrq4sOHTqIPHSOHz+Ovn37yvV7NPSlRpFYWVkhJSUFTk5OjVqOqmunykCr6/PgwQOsWbMGtra2KCgoEMlnxIgR6N27t1Qv4p999hlat24NTU1NtGjRAqNGjUJERIRwf1U9yYu8RogyjMyLFy9i06ZNCs1TVqpfM9WvRXGfmTNnIigoCGw2G//8849IPhcuXICGhgZCQ0MB1L6/fAzkMpq++uorTJkyBQMGDEBhYSF69+6NuXPn4rPPPsMXX3whdT5KiHZAPWZmZuBwOI1djFrMmzcPKSkpIh81tcrYqX5+fvDw8EBZWRmuXbuGt2/fYsuWLTh+/DgGDhyIsrIyYT6XLl1Cnz59YGlpifv37yMiIgJLlizB5s2bMWnSpFpt5tixY0hJSUFYWBj279+PwsJCeHh44OTJk8I0R48exdKlS/Hll18iMDAQT58+xerVq1FYWCiVNkNDQ3zzzTfw9fVFcHAwZs2ahVmzZuHWrVsK+OWUR4sWLaClpdXYxajF4MGDa7WVVq1aAQCio6PRuXNnvHv3Dn/99Rfev3+PgwcPwsfHB56ensjOzhbmI0u7AoDvv/8eKSkpiIyMxMmTJ6Gvrw8vLy9s2bJFmMbHxwcTJ07EuHHj8Pz5cwQEBGDLli0oLy//OD+ODDS0TCwWC2ZmZsLrtLHp3r27SJuYMGFCrbbSvXt3fP/999DR0RFZruvo0aO4f/8+jh07JvKiLgl3d3ccO3YM4eHhuHXrFgghGDRoUK0XMxowNDQUTsxqCrx48UJYnxcuXABQ6fJTtW3v3r1wcXHB+vXrMX/+fOHLUnp6OhYsWIDvvvuucQ190gB4PB4JCwsj/v7+pKCgQObjdXR0SFRUVEOKoBQKCwvJtGnTiLa2NjEzMyM7d+4kffr0IUuWLBGmKS0tJStWrCAWFhZES0uLdO3aldy/f1+4/9ixY0RPT49cunSJ2NvbEw6HQwYNGkTi4+OF+wGIfI4dO1Zv2QCQS5cuCb/7+/sTV1dXwuFwiLu7O7l48SIBQF6/fi2X9hkzZpBRo0aRjRs3EmNjY6Krq0s+++wzwuPxRNJs2LBB+L3mb1MdgUBAHB0dSefOnQmfzxfZFxgYSBgMBtm+fTshpPJ3NzIyImPHjq2Vzz///EMAkL///lu4reZvUcX06dOJrq4uyc7OJoQQMmrUKDJz5kxpfwKpcHNzI+vWrRN+79OnT7319/vvvxNHR0fCZrOJmZkZWbx4sXDfrl27iJOTE9HS0iKWlpZk4cKFwmvq/v37tdpK9d9fEjY2NuSnn34Sfn/79i3p1asX4XA4pH379uT27dsSf0Np2LBhA3FxcSEHDx4klpaWRFNTk4wfP57k5uaKpJkxY4bwe1X7ksTgwYOJpaUlKS4uFtmekpJCtLS0yIIFCwghsrUrQmr/FlWsX7+eMJlMEhERQQghZMmSJaRv37516j527Bjp06ePxP3Z2dlkypQpxNjYmGhoaBB7e3ty9OhRQgipVY9V+fD5fPLdd9+Rli1bEjabTVxcXMiNGzeEecbExAjbf+/evQmHwxG2t8OHD5N27doRDodD2rZtS/bv319n+WvmWf1ece3aNeLg4EA0NDRI3759hfepnJwcqfKsSZ8+fcjixYvJ4sWLCZfLJUZGRmTdunVEIBCIpBF37dTVVl6+fEnU1dXJjRs3SFxcHOFyuVLrFkdQUBABQN6/f08I+fDbSEIgEJANGzYQKysrwmazibm5Ofniiy+EemrWMyGEZGZmkkmTJhELCwuiqalJnJycyOnTp0X01jwuJiaGEEJISEgIGTx4MNHW1iYmJibk008/JRkZGVJpq3l/TktLI8OHDycaGhrE1taW/PnnnxKvD2mo71lXlUbcNVN1bxPXvioqKkiXLl3IxIkTCSGEjB49mnh6epKKigphmpr3l4+B3HGaAIDNZsPR0RFdu3aFjo5OQ7JqUqxatQoPHz7E//73P9y+fRsPHjzAq1evRNJ8/vnn8PX1xd9//43g4GCMHz8egwcPxrt374RpiouLsWXLFpw8eRJPnz5Fbm4uJk2aBACYOHEiVqxYgQ4dOggt7IkTJ8pUzsLCQgwfPhyOjo4ICAjAxo0bsXLlylrpdHR06vwsWLBAJL2Pjw/Cw8Px4MED/PXXX7h48SK+++47mcpWRWBgIN68eYPly5fXegN0cXGBl5cX/vrrLwCVEwWysrLEahgxYgTatGkjTFsXy5YtQ0FBAe7cuQOgsnfOz89PIeEuCCHw8fGROBlCEgcOHMDixYsxf/58hISE4J9//hEueg1Urs+4b98+hIWF4cSJE7h37x5Wr14NoPINfM+ePeByucK2Iu43qguBQICxY8eCzWbD398fBw8exJo1a2ql69ChQ51tpebQ8Pv373H27FlcuXIFN2/exOvXr7Fo0SKZylZFdnY2bt26hUWLFkFTU1Nkn5mZGaZOnYozZ86AECJTu6qLJUuWgBCC//3vf8LzhIWFCbv/5eHbb7/FmzdvcOPGDYSHh+PAgQMwNjYGADx//hwAcPfuXaSkpODixYsAgL1792LXrl3YuXMngoOD4e3tjZEjR4rcT4DKXv4lS5YgPDwc3t7eOHXqFNavX48tW7YgPDwcW7duxbfffosTJ07IXO6EhASMHTsWI0aMQGBgIObOnYuvvvpKJE18fHy995OtW7eKHHPixAmoqanh+fPn2Lt3L3bv3o0jR47IXL7quLu7Y+3atZg7dy6mTZuGrl27yh00uaioCMeOHUOrVq1gZWUl1TEXLlzATz/9hEOHDuHdu3e4fPkynJ2dAVQOh1laWgp7NlNSUgAApaWlcHd3x7Vr1xAaGor58+dj2rRpwjaxd+9eeHp6ivTaW1lZITc3F/3794ebm5vQTzgtLQ0TJkyQS+/MmTORkJCA+/fv4/z58/j111+Rnp4ukmbIkCF11nGHDh1E0tf1rJMXFouFEydO4H//+x+mTJmCW7du4fjx42CxWA3Kt8FIa12NGTNG6o+0NMWepoKCAsJms8nZs2eF27KysoimpqbQWo+LiyMsFoskJSWJHDtgwACydu1aQsiHniQ/Pz/h/vDwcAKA+Pv7E0I+vKnLAqr1DBw6dIgYGRmRkpIS4f4DBw7Uent89+5dnZ+0tDRh2hkzZhBDQ0NSVFQkkqeOjk6tN/oq+vTpQ9TV1Ym2trbws3z5ckIIIX///XedPV9ffvkl0dTUJIQQsn379jrfakeOHEnat28v9reoTklJCQFAfvjhB0IIIcnJyaRbt24EAGnTpg2ZMWMGOXPmjEQ94sjNzSXa2tpETU2NcDgc8vvvv0t9LCGEWFhYkG+++Ubq9OfOnSNGRkbC71Vvc7JQ/e3x1q1bRE1NTaTN3rhxo9ZvGBsbW2dbSUxMFKbdsGEDYbFYIttu3LhBmEwmSUlJEVumGTNmEBaLJdJWPvnkE0IIIX5+fnX2fO3evZsAIGlpaTK1q5q/RU1MTU3JwoULCSGVvZ1Dhw4lAIiNjQ2ZOHEi+f3330lpaanYY8UxYsQIMmvWLLH7xPXuEFLZPrZs2SKyrUuXLmTRokUix+3Zs0ckTevWrUV6KwghZNOmTcTT07PectYsy9q1a4mjo6NImjVr1ohck+Xl5fXeT7KysoTH9+nTh7Rv316kZ2nNmjUi17Ek6uuVLCsrI1ZWVoTD4ZC4uLh686vJ/v37iba2NgFA2rZtK+xlkoZdu3aRNm3akLKyMrH7pe25GTZsGFmxYoXwu7he+02bNpFBgwaJbEtISCAASGRkZL3nqJ5nZGQkAUCeP38u3F/1XKpe3sTExDrrODY2VphWmmedJOrqaariq6++ErmfNzZSD2br6enVuT87OxsGBgYyOc81xNFOWURFRaGsrAweHh7CbYaGhmjbtq3we0hICPh8Ptq0aSNyLI/HE67DBwBqamro0qWL8Hu7du2gr6+P8PBwdO3atcFlDQ8PR8eOHaGhoSHcVhXeoTrVezSkwcXFRcQXxtPTE4WFhUhISICNjY3YY6ZOnYpvvvlG+L2m0zKRwX9NlrR1HV/VvszNzeHr64vQ0FA8evQIz549w4wZM3DkyBHcvHlTKh8IXV1dBAYGorCwED4+Pli+fDns7OykcghOT09HcnIyBgwYIDHN3bt3sW3bNkRERCA/Px8VFRUoLS1FcXGxQvySwsPDYWVlBQsLC+E2cW1FUv1KwtraGi1bthTJUyAQIDIyEmZmZmKP6devHw4cOCD8rq2tLbL/Y7aVqjyq2oq2tjauXbuGqKgo3L9/H35+flixYgX27t0LX19fqepi4cKFGDduHF69eoVBgwZh9OjR6N69u8T0+fn5SE5ORo8ePUS29+jRA0FBQSLbOnfuLPy/qKgIUVFRmDNnDubNmyfcXlFRUe/9Whzh4eEi9z2gdhtRU1OT+X7SrVs3kXu9p6cndu3aBT6f36Begzt37iA1NRVApZ+MtbW1TMdPnToVAwcOREpKCnbu3IkJEybg6dOnIvdTSYwfPx579uyBnZ0dBg8ejKFDh2LEiBF1+ofx+Xxs3boVZ8+eRVJSEsrKysDj8eptU0FBQbh//77Y0ZyoqKhaz6G6CA8Ph5qaGtzd3YXbqp5L1al+TUuDsp51hYWFOHPmDLS0tPD48WNh73tjIrXRdOzYsTr3s1gspKSkwMTEBHZ2dnjx4oWIASEORdzwGoPCwkKwWCwEBATUuuib4jBlfWX69NNPcfDgwQadQ09PT+zNtOqCDg8PFxujKzw8XJimelpxD5nw8HA4OjrWW5bw8HAAEDoXV+Hk5AQnJycsWrQICxYsQK9evfDw4UP069ev3jyZTKZQn6urK8LDw7Ft2zapjKaaQ001iY2NxfDhw7Fw4UJs2bIFhoaGePLkCebMmYOysrKP6szdoUOHOocxe/XqhRs3bjToHNra2mLbir29PRgMBsLDwzFmzJha+8PDw2FgYIAWLVrI1K7qIisrCxkZGbXaSuvWrdG6dWvMnTsX33zzDdq0aYMzZ85g1qxZ9eY5ZMgQxMXF4fr167hz5w4GDBiAxYsXY+fOnfUeWx/VDcyqiQyHDx+uZewoawgjPj6+3mvw66+/xtdff62U81eRk5ODefPmYd26dSCEYNGiRejTp49wGFQa9PT0oKenBwcHB3Tr1g0GBga4dOkSJk+eXO+xVlZWiIyMxN27d3Hnzh0sWrQIP/74Ix4+fCgS8Lk6P/74I/bu3Ys9e/bA2dkZ2traWLp0aa0JCzUpLCzEiBEj8MMPP9TaZ25uLp1YGRkyZAgeP34scb+NjQ3CwsKUcu7qrFq1ChoaGnj27Bm6deuGkydPYvr06Uo/b10obNqEvr4+YmJiYGJigtjYWKmmfb5580bkzbcp0Lp1a6irq8Pf31/45pKTk4O3b9+iT58+AAA3Nzfw+Xykp6cL19gTR0VFBV6+fCm0tCMjI5Gbm4v27dsDqPQJa8hsjfbt2+OPP/5AaWmp8O3Iz8+vVrr6pjfXjNIeFBSEkpIS4cPez88POjo6Uo/3V8fV1RXt2rXDTz/9hEmTJon06gQFBQl7WIDKhZ4NDQ2xa9euWkbTP//8g3fv3kk1dbbK/8fLy0timqobf1FRkcyagEofoarlg+pDV1cXtra28PHxEWugBQQEQCAQYNeuXcLf5+zZsyJpFNFWEhISkJKSIrzRimsr169fr3NWVk0DMD4+HsnJycLr2M/PD0wmU6RnVlqMjIwwcOBA/Prrr1i2bJnIuVJTU3Hq1ClMnz4dDAZDpnZVF3v37gWTyawzNpmtrS20tLRkaistWrTAjBkzMGPGDPTq1QurVq3Czp07wWazAUCkLrlcLiwsLPD06VPhPQYAnj59WudbuqmpKSwsLBAdHY2pU6dKXTZJtG/fvtYU75ptxMLCot77iaGhoch3f3//Wnk6ODg0yLD74osvYGZmJjTO/ve//2Hx4sU4c+aMXPkRQkAIkfqaBiqvhREjRmDEiBFYvHgx2rVrh5CQEHTq1Ens9fr06VOMGjUKn376KYDKe8jbt29FjFBxx3Xq1AkXLlyAra1tg2c6tmvXDhUVFQgICBD2DFU9l6pz5MgRlJSUSMynpmFY37NOHu7cuYMjR47g2bNncHFxwebNm7F06VIMHDhQacaiVMg7rnfu3Dkyfvx44uHhQdzc3IiRkRFhMBiEzWYTJpNJrK2tSatWrcR+mjoLFiwgNjY2xMfHh4SEhJCRI0cSHR0dkbHmqVOnEltbW3LhwgUSHR1N/P39ydatW8nVq1cJIZXjvOrq6qRr167Ez8+PvHz5knTr1o1069ZNmMepU6eItrY2ef36NcnIyJDKbwLVfD4KCgqIsbEx+fTTT0lYWBi5du0asbe3b/DsOR0dHTJ58mRhnqampuSrr76SeExds+cIIeTp06dES0uLjB49mvj7+5O4uDhy9uxZYmVlRbp37y6i+9y5c4TFYpF58+aRoKAgEhMTQ44cOUIMDAzIJ598IuIbgX9nHKakpJDY2Fhy+/ZtMm7cOMJiscipU6eE6RYsWEC+//578uTJExIbG0t8fX3JsGHDSIsWLUhmZma9v8nWrVvJ7du3SVRUFHnz5g3ZuXMnUVNTI4cPH6732CqOHz9ONDQ0yN69e8nbt29JQEAA2bdvHyGkcrYX/vVXiYqKIidPniQtW7YUGet/+vQpAUDu3r1LMjIyRHzOJFHdr4LP5xNHR0cycOBAEhgYSB49ekTc3d0bPHtOW1ubeHl5CfNs06YNmTRpksRj6vNTefv2LTE2Nia9evUiDx8+JPHx8eTGjRvEycmJODg4iPjLyNKubGxsyPfff09SUlJIfHw8efjwIZk3b16tWXYbNmwgq1atIvfv3yfR0dHk1atXZObMmURTU1M4w64+vv32W3L58mXy7t07EhoaSoYPH066du1KCKn0CdLU1CSbN28mqampwpmGP/30E+FyueTvv/8mERERZM2aNURdXZ28ffuWECLZF+rw4cNEU1OT7N27l0RGRpLg4GBy9OhRsmvXrnrLWTPPuLg4wmazycqVK0lERAQ5deoUMTMza/DsOR0dHbJs2TISERFBTp8+TbS1tcnBgwfrPVZSW7l48SJhs9kkJCREuC04OJiw2Wxy/vz5evONiooiW7duJS9fviRxcXHk6dOnZMSIEcTQ0FDEv7Mujh07Ro4cOUJCQkJIVFQUWbduHdHU1BTeTwYOHEhGjhxJEhMThbPcli1bRqysrMjTp0/JmzdvyNy5cwmXyxXROG/ePNKlSxcSExNDMjIyCJ/PJ0lJSaRFixbkk08+Ic+fPyfv378nN2/eJDNnzhSZSSaJmvfnwYMHEzc3N+FzqWfPnkRTU7NBs+fqe9ZJQpJPU15eHrGyshL6CBNSeQ/r0aMHGT58uFzlVBRyGU179+4lOjo65PPPPydsNpt89tlnxMvLi2hra5NBgwYRBoNBNm3aRPbs2SP209QpKCggn376KdHS0iKmpqZkx44dtRpeWVkZWb9+PbG1tSXq6urE3NycjBkzhgQHBxNCPjjuXrhwgdjZ2REOh0O8vLxEHBZLS0vJuHHjiL6+vtwhB3x9fYmLiwths9nE1dWVXLhwQSEhB9avX0+MjIyIjo4OmTdvXp0GXX1GEyGVN7Vx48YRQ0NDoq6uTlq3bk3WrVsn9uH/6NEj4u3tTbhcLmGz2aRDhw5k586dtW4QqDY1V0NDg7Ru3ZrMmDGDBAQEiKQ7f/48GTp0KDE3NydsNptYWFiQcePGCeuqPr755htib29PNDQ0iIGBAfH09BQJfSAtBw8eJG3bthW2l6opyoRUOjmbm5sTTU1N4u3tTU6ePFnrZrJgwQJiZGQkd8iByMhI0rNnT8Jms0mbNm3IzZs3FRJy4NdffyUWFhZEQ0ODfPLJJ8JQD+Koz2gipNIZfcaMGcTU1JSoq6sTKysr8sUXX4g1cKVtVzY2NsK2wmazibW1NZkwYQK5d++eSLp79+6RcePGCaeSm5qaksGDB5PHjx9L/bts2rSJtG/fnmhqahJDQ0MyatQoEh0dLdx/+PBhYmVlRZhMpkjIgY0bN5KWLVsSdXV1iSEHxF3Xp06dIq6uroTNZhMDAwPSu3dvcvHixXrLKS7PK1euCKeN9+rVixw9erTBRtOiRYvIggULCJfLJQYGBuTrr78WefmRhLi2kpGRQUxMTGo5zRNCyJYtW4iJiUm9U/GTkpLIkCFDiImJCVFXVyeWlpZkypQpUhvFhBBy6dIl4uHhQbhcLtHW1ibdunUjd+/eFe739fUlHTt2JBwORxhyICsri4waNYro6OgQExMTsm7dOjJ9+nQRjZGRkaRbt25EU1NTJOTA27dvyZgxY4i+vj7R1NQk7dq1I0uXLpXqd6x5f05JSSHDhg0jHA6HWFtbk5MnTyok5EBdzzpJSDKaZs2aRZycnERC3RBS+TtoaWmREydOyFVWRcAgRHbHonbt2mHDhg2YPHkydHV1ERQUBDs7O6xfvx7Z2dkoKirCvn37mlRArY/N8ePHsXTpUrmXH1ChQoUKFSpUNC3kGiCNj48X+pxoamoKw9lPmzYN3bp1E7vcgQoVKlSoUKFCRXNG7gV7q5YzsLa2FjoLxsTENNsZcU2BU6dOSR1MTIXiqCuIW10zSBqTx48f11luFSq2bt0qdZBSmvgv3UfrCzYaHx/f2EWkDrmG5+bOnQsrKyts2LAB+/fvx6pVq9CjRw+8fPkSY8eOxe+//66MslJPQUEB0tLSxO5TV1eXOYaOCumovlhsTVq2bFlvyIDGoKSkBElJSRL3yxpLRwV9ZGdni6zVVx1NTU2ZY/E0F/5L99GKioo6F71XxIw7FaLIZTQJBAIIBAJhZfz999949uwZHBwc8Nlnnwmn1apQoUKFChUqVNCCXEaTChUqVKhQoULFfw25fJpu3ryJJ0+eCL/v378frq6umDJlCnJychRWOBUqVKhQoUKFiqaCXD1Nzs7O+OGHHzB06FCEhISgc+fOWLFiBe7fv4927drVu+QKjQgEAiQnJ0NXV7dJrqmnQoUKFSpUNGUIISgoKICFhYVUa4I2BnJ5iMXExAhDv1+4cAEjRozA1q1b8erVKwwdOlShBWwuJCcny7XMiAoVKlSoUKHiAwkJCbC0tGzsYohFLqOJzWajuLgYQOXq7FUL6BkaGiI/P19xpWtGVAXyTEhIqLWWW0PIy8uTa8Xypg6tugB6tdGqC6BXG626AHq10aoLqF9bfn4+rKysmnRgbLmMpp49e2L58uXo0aMHnj9/Llwk8e3bt03WOlQ2VUNyXC5XoUZTRkaGQvNrKtCqC6BXG626AHq10aoLoFcbrboA6bU1ZRcXuQYNf/nlF6ipqeH8+fM4cOCAMN7HjRs3MHjwYIUW8L9OXStNN2do1QXQq41WXQC92mjVBdCrjVZdAB3alBpyYPv27ViwYAH09fWVdYomQ35+PvT09JCXl6fQt4SCgoIm3VUpL7TqAujV1lx1+UdnoWsrwzrfXpurtvqgVRdArzZadQH1a1PWc1SRKNU9fevWrRIj0qqQjtTU1MYuglKorosvIMgpKmvE0iiW/0KdNScm/uaH0KS6fS2bq7b6oFUXQK82WnUBdGhTqtGkipvZcHg8XmMXQSlU1/X3i3i4bbqDYfua5jpvsvJfqLPmQnZRGWyNtHDnTd036+aoTRpo1QXQq41WXQAd2ppmIAQVQuzs7Bq7CDJTXFaBQw+j6kxTXZd/dDa2j3WGsQ4HWYXN/6JqjnUmDc1JVxGvAuV8Af4JTMKcXnYIiK876G5z0iYLtOoC6NVGqy6ADm0qo6mJ09xWqSaEYO3FEGy7EYH80nKJ6ap0EUKQV1KOSV2t0bdtC4z85Snmn3yJtPzSj1VkhdPc6kxampOuxadfof23N/GnfzwmdbGCgRYbxWUVEtM3J22yQKsugF5ttOoC6NCmMpqaOBUVkm/0TZGk3BKU8wXYNtYZj95mSExXpSujgAdzPQ0AwMzutvi8vz1iMovwsNqxT99nIjVPshH1y713KOJVNJnhYEXVWQVfgAq+QCF5KYLm1BbVWUxUCAh+nuwGdRbz315MyX5zzUmbLNCqC2g62soqFHuNNhVdyoAGbY1qND169AgjRoyAhYUFGAwGLl++LLKfEIL169fD3Nwcmpqa8PLywrt370TSZGdnY+rUqeByudDX18ecOXNQWFgokiY4OBi9evWChoYGrKyssGPHjlplOXfuHNq1awcNDQ04Ozvj+vXrCtcrD/b29o1dBJkITcpHb4cWGNDOBPci0iWmq9IVl10MayMtAJWxOSZ3tcbZzzzx9H2mMO3xZ7E4H5BQK4/ojEL8dOctdt5+iz4/3seGf8IUrEY+Glpnz95nYvbxF1h9PhgrzgUpqFQNpzm1Rb6AIHb7MLQ3r5yBY6TNRlYdkw2akzZZoFUX0DS0/XLvHdqsu4H5J19CICAIiMtBSRm/QXk2BV3KggZtSjWaevXqBU1NTYn7i4qK4OLigv3794vdv2PHDuzbtw8HDx6Ev78/tLW14e3tjdLSD70OU6dORVhYGO7cuYOrV6/i0aNHmD9/vnB/fn4+Bg0aBBsbGwQEBODHH3/Exo0b8dtvvwnTPHv2DJMnT8acOXPw+vVrjB49GqNHj0ZoaKgCfoWGER0d3dhFkImw5Dx0sNCDCVcDWYVlEntKqnTFZRXD1khbZJ+BNhu5xeXgCyp7jngVAvjH1J6F+So+F3t93oHNYuJ/n/dEfHaxgtXIR0Pr7G54Ogp5FYjNKkJ2E5pV2FzaYjlfUOvBZVSPv1xz0SYrtOoCmoa24MQ8hH8/GC/jcrD8bCDGHXiGm2EpDcqzKehSFjRok9to4vP5OH/+PDZt2oRNmzbh/Pnztbrerl+/DnNzc4l5DBkyBJs3b8aYMWNq7SOEYM+ePVi3bh1GjRqFjh074uTJk0hOThb2SIWHh+PmzZs4cuQIPDw80LNnT/z888/4+++/kZycDAA4deoUysrKcPToUXTo0AGTJk3Cl19+id27dwvPtXfvXgwePBirVq1C+/btsWnTJnTq1Am//PKLvD+PwhAIms7wjDREphagjZkOAKCNqQ5is8QbMlW63qcXwq6Fdq39LpZ6+PtFPHgVfGiqM6GvxYbzxlt4GZuNnKIyEEKE3eJ7J7mipb4m1FlM8Coa9panCBpaZ8m5JVg+sA1GubaEkTYboUl5CipZw2gubfHI4xiosURjMhnpsJFZh9HUXLTJCq26gMbXllXIg4AQaLJZuL2sNy4HJuPv+d0QEFf3pIP6aGxdyoQGbXIZTWFhYWjTpg1mzJiBS5cu4dKlS5g5cyYcHBwU1jsTExOD1NRUeHl5Cbfp6enBw8MDvr6+AABfX1/o6+ujc+fOwjReXl5gMpnw9/cXpunduzfYbLYwjbe3NyIjI5GTkyNMU/08VWmqziMOHo+H/Px8kY8yaNu2rVLyrY/Scj7isopkPq6cLwBHjQUAsDTQQmKOeKOpSld0RiHsjHVq7Z/sYY1Lr5IwZM9jFPH42DDCEQc/dcfP995j4E8P0WrtdXx9KQQAMMS50jBvb6aL8JQCmcusaOStM0IItlx7g+JyPrrZGWFGd1vM7WWHK8HJCi6hfDRWW5SV5zFZODKjs8g2SwNNJGRLjkbcXLTJCq26gMbXtuZCCGb3bAUAMNbh4OoXPdHV1hApuQ2bxNLYupQJDdrkMprmzp2LDh06IDExEa9evcKrV6+QkJCAjh07igyNNYSqIFimpqYi201NTYX7UlNTYWJiIrJfTU0NhoaGImnE5VH9HJLS1BWIa9u2bdDT0xN+rKysZJUoFZGRkUrJtz4OPYzGiJ+fIDlX+rD3d9+kwd7kgwHkZq2PZ1FZYtNW6SrnC8BWq90MzfU0cW6BJ/ZMcsXWMZXhCHrYG+PE7K7YO8kNZz/zBADcX9lXeEyfti3q9KP6WMhbZ6n5pQhNyseqQR9uLB0suHiT3DQWwW6stigLafmlMNBmCw33KloZayMmU/JLQHPQJg+06gIaT1t6QSmW/P0aOhwWurc2Fm53aqkHJpOBhk5HUdVZ00YuoykwMBDbtm2DgYGBcJuBgQG2bNmC169fK6xwTZm1a9ciLy9P+ElIqO2o3JwJScrFr1Pd0X37PamHhy69TsJSrzbC784t9eAfnYW8EvGhB/KKy6GroS4xPwaDgY6W+kJH8Sp62BujaytDTOpiBSuDDz5zrlYG8IvKahJDdPIQk1GEPm1bwNnywyrgDAYDlgaaMhmv/2ViM4vQ1rT2Mg1abLU6Qw6oqOR5TDYm/+bX2MVo0vz9PAGRqQUY6ize9cREl4OI1KbxoqNC8chlNLVp0wZpaWm1tqenpyvMO97MzAwAap0nLS1NuM/MzAzp6aI9CxUVFcjOzhZJIy6P6ueQlKZqvzg4HA64XK7IRxk0RnemQEAgIEBPB2OcX+CJ4T8/waxjz+s8pqxCgPzScmhz1ITbGAwGxne2gq+Y3qa2bdvi7xfx6Neuhdzl3D6uI9RYH5owi8lAUVkFjjyOkTtPRSBvnV0OTIJ3h9ptrp0ZF5Fp8g075haXYZ/PO4WELmgOXesZhTyYcDli92lx1CTGDmsO2uRBVl2/PYqGb3QWRv7yROFT6RVNY9RZSRkfftFZuP5lLwwSc60CwBIvBxx8UHdw37qgtS0CdGiTy2jatm0bvvzyS5w/fx6JiYlITEzE+fPnsXTpUvzwww8K8fNp1aoVzMzM4OPjI9yWn58Pf39/eHpWDs14enoiNzcXAQEBwjT37t2DQCCAh4eHMM2jR49QXv7hZnnnzh20bdtW2FPm6ekpcp6qNFXnaUwaozszLrsYNv/27nS2NUTvNi2QkFNSZ9ylp+8z0c3OqNZ2Vyt9vEmu3VMV+iYCN8NSMbyjheIKDuCPOR54n15Yf0IlIk+dxWYWoYjHRyvj2k7xDiY6eJ8mn6bozCLsvvMWZ18mynV8dZpD13p6Pg8tdDTE7utiY4CXseLXwmwO2uRBFl2EEAgIwcNVfaHDUUN0ZuNeR/XRGHV2/FksxnWyBJMpefFncz1Nib3r0kBrWwTo0CaX0TR8+HC8efMGEyZMgI2NDWxsbDBhwgSEhoZixIgRMDAwgL6+vsjwnTgKCwsRGBiIwMBAAJXO34GBgYiPjweDwcDSpUuxefNm/PPPPwgJCcH06dNhYWGB0aNHAwDat2+PwYMHY968eXj+/DmePn2Kzz//HJMmTYKFReXDeMqUKWCz2ZgzZw7CwsJw5swZ7N27F8uXLxeWY8mSJbh58yZ27dqFiIgIbNy4ES9fvsTnn38uz8/T7HkVlwNXK33h95Ozu2LneBd8fvoVcotrT4F/n16IWcdfwLN1baPJroU2IlJr95I8jivCxM5WUGcpNuqFoTa7SU3Tl5Y9d99i9WDxb2EOprqISC1AaFKe2ACefAFBabn4IcnMAh6+HtpOJO4VzWQU8tBCV3xPU9dWRvCPVi0gLomw5HzYm+jAxkgbk7ta4+6bNMw7+bKxi9VkeB2fg4C4HIxzt6w3LUeN1eB4TSqaJmr1J6nN/fv3FXLyly9fol+/fsLvVYbMjBkzcPz4caxevRpFRUWYP38+cnNz0bNnT9y8eRMaGh/eJE+dOoXPP/8cAwYMAJPJxLhx47Bv3z7hfj09Pdy+fRuLFy+Gu7s7jI2NsX79ehGH9e7du+P06dNYt24dvv76azg4OODy5ctwcnJSiM6GIKk7kxACBkPy205DuBWWih2fdBTZ5mqlj10TXPHt/8Kwbawz/vCNQ+82xuhgoYdzLxNwYaEnOlnXNpK12GrQYrMQlJALl2qGWGwJB2PsjWulVwT6WurILy0Htw5/KWUiaxd01VIyNka1e5kAwFiHjbyScgz/+Ql8VvRB6xYfnO1jMovQb+cDtNTXxP2VfWs51acX8GBvooPH7zLBq+DXcpCWhebQtZ5RwIOJBKOpnZkudkgY5mwO2uRBFl0vYrPRwaLSzWBQB1Ns+F8Y7rxJQ2k5Hxrq8rcbZfEx62zN+WC8is/B0ZldpEpvZaiJu+FpGOEie086rW0RoEQbUaEQ8vLyCACSl5en0HxDQkJqbSvilRObNVcVep4qnr3PJB3W3xS7r7yCT4bte0Rs1lwl266Hk0mHfAmfLyAzj/oTPl8gMc+sQh754vQr4XdeOZ+M2+uj8LJXsft2JAlOyJXrWIFAsg5pCQkJkSmf1LwSsuZ8UL3prgUnE++fHpKSsgpCSGU7+PSIH3mXVkAOP4oiX10IJnGZReRqULLwmF23IkhIYi45/jSGTPvdn+SXlMku6F/EtcWmxpzjz+tsi7OPid/fHLTJg7S6ErKLiMM310lkar7I9t23I8nr+BwllKzhfKw6K+ZVEJs1V8mY/U+kPiYoIYd8cuCpXOejtS0SUr82ZT1HFYncYyOPHz/Gp59+iu7duyMpKQkA8Mcff+DJkycKMudUAACTWbuK0vMlB+lrKH/6xWHt0HZi96mxmNg53gVOLblY1K81HEx1cDc8DWZ6GnWO8Rtqs1HI+zBz6W1aAVobsSWmbyjGOmxkFYn/jf70i8NGCcutPHufiVZrryMytQC5xWUISZQvqGRxBUGrtddRWs7HvYg0CAR1T0KOSC1AW7PaM75qMqC9CXo5GAt9y076xmFiFyvYm+hgqLM5/noej70+77D49Cvsvh0JQgjSCyodo0e5WiCrkIeN/7zB9KPP8dujKCTnliC9oFTskKs4xLXFpkRZhQAFpRV1tkVjHY7Y5VSaujZ5kVZXYEIutox2QpsaMw+dW+ohpIkEV63Jx6qzoMRcOLfUw/zeraU+pqOlPnQ4avVe++KgtS0CdGiTS8GFCxfg7e0NTU1NvHr1Cjxe5QMqLy8PW7duVWgB/+vY2dnV2pZeUPl7v5VzRpUkhu59jJziMkz1sJGYpp0ZF1e/6AWuhjramuli5bkgLOgj3c2E/OuP8yYlH57tlBPXCqhchqXmjD1CCBadCsDN0FS8Sy/AL/fe1TruwqsknJzdFXt93uLw42jMPfkCEw754llU3f5A5XwBEqot4VKobgRTLgejfnmK2cdf1hs76vHbDDi31KszDVDpJzGtmy0evM0AX0Dw5F0mhjhVTnu20NfEhYXd8SAyHVe/6In3GYVYdzkUmYVlMNLmQF+Ljatf9ISFvgZexGTj3MtELD0TiK5bfOD6/R08F7NMTU3EtcWmxMvYbPRta1JnGjM9DbGLPzd1bfIira7gxDyR4fMqnC31ECrny4Oy+Vh1du5lIr4f1QGDnSTPphaHXQsdRNcRG0zicZS2RYAObXIZTZs3b8bBgwdx+PBhqKt/8Bvp0aMHXr16pbDCqQDev39fa1t6QSnM9TQw6KdHCjsPIQRMJvDTRFepj3G10kfXVoYSfXGqU33B1DfJ+dAuU55DrqE2G4ceRaO82jT78wGJeB6TDT0tdRhosbHz9lscffIhNEFZhQBp+aXo5WCMsgoBfMLT8dNEV3S2McCaC8F19sY8epuBXjvu49LrRKy7HILvr4TipwmumNOzFa592RM3w1IlxgjiCwjepheis62hVNqsjbTgF5WF1l9fh5meBljVelXcbQwQ8O1AOLXUw9YxzjjlH4+AuGxhGgaDgRWD2iJ802B0sjZASl5l7KelXg4iv4UkxLXFpkIRrwLfX30DD7u6f0eupjp+uvtWxMgFmra2hiCtrvfphSK+clWYcjWQkFMsci01FT5GnQUn5oJXwYebGH/N+qjspcuV+Thl67r8Ogn77zdOe6fhOpPLaIqMjETv3r1rbdfT00Nubm5Dy6SiGmpqtX310/J5WDGoLdqa6sI3KgsZBbIN1xFCcOZFPP56Hi/clpJXCueWejDlip+uLY4OFno4MkM6x0gbIy3EZRWB/+9K4C31pT+PrBhqVw79hf0bSTs0KQ/XQ1Jwc2lvfDO0PX6Z0gmvvx2I+5GVPUDxWcXots0HHS31wGAwsG6YIw586o7urY2xenA7rBncDv8EJSM1r7TWVGJCiHAx4WVngvAmOR+TOhrAs7URJnSxQgcLPbyMzYbj+lsIT6kdgiMwIQculvX3MlVniZcDfhjnjM2jJU9U0NdiI3jjIFxc1EPsfhMuB4QA4d8PxlKvNrgZlopt18PrPK+4tthU+Pnee7xLL4STRd2/5RAnM9yLSMfaiyEi25uytoYgSVdeSbmw5zevpBwMQMQAr04vhxYSI/s3JvLUGSEEfX+8j8fvJIdPqSI6oxCHHkXj2+GO8hQPnawNsOxMkNgZr3WhzLaYWcjD3y/i8eOtSAQn5qKkjN+g8AiyQsN1JpfRZGZmJtZifPLkCRXdb00Ja2vrWtvSC0rR0VIP60c4Yu3FYHhsvStxyrk4fKOy8CwqC6f944UB7H57FI3eDvIHmqwPGyNtxGUV43ZYKtys9WFrI3kIsKHo/Btg0z+68kb/26No7PjEBcY6HFjoV0YQN9Bmw9pQCyN+foKbYSmY07MVFvStHGa0NdYWiZfk1d4UJ57Fots2H7h8dxu/PngvDBb5w81IhCXnIXb7MMRuH4aLi3pget8OIjMb905yww/jnMVGVg+IyxEbqqEuRrm2xMQu1vXOaOJqqIuN+wQAJlwNJOeWQJNdmcfNpb3gG51VZ9RscW2xKUAIQVhyHqK2DhW7JE91LPQ1Eb11KNRrLOjbVLU1lCpdVT2pVXhu88GIX54gr6Qcx57GYGYPW4l5DHQ0wYPIxl+eqCby1NmDyAw4tdTD7jtvseJsUJ1px/z6DNeCU2R6kRQpn5EWxrq1xLyTAXWmS8otwerzH8qizLa49Vo4lg9sixUD22DztXBsuvYGi099vNEhGq4zuYymefPmYcmSJfD39weDwUBycjJOnTqFlStXYuHChYou43+a6OjoWtsy8nkw1dWAs6UeBARY2Lc12n17E3nFkt8YeBWVTsmEEPzpH4dvhrXHSBcLPH2ficScYhx/Fov+7ev2B2kItv8aTf8LTMbygW3E6lIULfU14bd2gPDtuKC0XGzsni1jnLHSuy22Xo/AECcziSEKNNRZuPZlL4R9542Dn7pjx81I3AhNxaGHUYjLKsKfczxE0tfU5mKlj+6tjYU9W9V5n14IB5P6ncAVjYkuB9V9VNuZcfHN0Pb49rJ4J3mgtq4fb0XgWVRmow/dRGUUyfQbMpkM6Gioi0QHV2Z7bEyqdB1+HI1v/l3g+rR/PFq30EFoUj5cvruNPXffiayhVpPWLXQQlyV+4e3GRFKdPYvKxG+PxEfkfhWfgwV9WuPcZ57ILORJbLuFvAr0tDeG39oBDSrjuuGO0Oawai1+HpqUh8m/+WHa7/7osf0eAhNyhb52ymqL6QWl4FUI0LWVIb4Y4ICJna1w2j8e6QWlMo9WyAsN15lcfWVfffUVBAIBBgwYgOLiYvTu3RscDgcrV67EF198oegy/qfhcGo/7PNKysHVVAODwcCj1f2EvikXXiUKV92uyS/33uNeRDpO+sbBwUQHJroa8O5ghgMP3yMmUxcHP3VvUAyf+mjVQhu+17JgxtWAvhYbGWJ0KQoGgwEzPQ2oMRlIzSuFobbkc/W0N8asHrawrccvq6pXZ7CTGd587w3H9bfQwYKLq1/0rBUvS1ydWRlqQYejhoTsYlgZVkZbLygtR3oBD8Y6yptJKInONgY4PU/U2POwM8Lp5/FIzSuFmV7tt+vquq6HpOBNcj7234/CumHtMatHK4nDO8pEICD4+lIIFveTbfkmJwsuQpPyhMaCuDqjAQ6HA0IIfKOyoM5i4GVsNo48icaBqe5oa6aLx+8yEJlaUGfdMRgMNELV1oukOnsYmYFDj6LBZjExtKM5THQ/tOV3aYVY3E8Haiwm3Kz1EZyYC3eb2n5w9yLS0c3OUOx1IAuG2my42xggOqNI6PtZyKuoNGAZDPRp1QJe7U1hY6SFi68TsaivvdLa4oqzQSLXyTh3S4x2a4krQcnosf0edk90UfgKDTWh4TqTq6eJwWDgm2++QXZ2NkJDQ+Hn54eMjAxs2rRJ0eX7zyNp/bvqD2pzPU0s9WqD08/jsfZiCIp4tYdYghPzcGxmFxSUVuCrIe0BVHYfJ+aU4H5kOvq2Vd7QHFA5ZOZmrY85/xp1da3rpyiCk/LQbZsP+reT3IPGYjKwYUSHOqep10SLrYbHq/uJNZgAydq6tzZGQFwOboWl4tLrREw85IfX8blKC1JaF0Y6HLG9CxM7W+HMC/GLT3O4lcOIe+6+xYEHUTg0rTNCNg7CjdBUtPv2hsS3e2XyJiUfnawN0KeNbO3X3cYAL2NzhN8/RntsDMzMzBCXVYzWLbSxYUQHbLwSBhdLfWGIi14OLTC3V/0uFYRAZt8cZSOpzsJTC3BvRR+c9IvD5N/8cOl1IvKKyzHylydIzisRvgD1sDfGs/fifbWuBCVjbKf6I39LQ1tTXTystgTVg8h0jHCxwP8W98DygW0wo7stejm0wJN3mSCEKKUtVvAFYLOYtZa6YjEZGO3WEgRE4nWvSGi4zhoUNIHNZsPR0RFdu3aFjk7tmRcqGk5cXJxU6dRZTJya64H47CKc8hc95kVsNkx0OTDhauDCwu4ib5Ve7U3hZm3wUSL+rh3SXjitWVpdDWHbGGc8WdMPQ50Vf6FaGWpJNHYkaXO10odfdBaOPI7G8rNB0NFQa3D3v6LxbG2E57FZteLL5BWXo/dPvhi69zEKSitw5YueYKsxoauhjgsLu+Pm0t446RuHxadf1ZqZJi1Xg5Pxh28sJv/mh63Xw/HFX69xKyxV4npxAOAXnSWzTxhQuTRNTLXp4B+jPTYGcXFxeB6bjS6tDGFrrI2NIzpg48gOMufT3pyLl3E59Sf8iIirs7DkPNgaacGuhQ7ureiLKR42WHYmCC7f30ZbU138MrmTMK2rlT4ev6+MlF+dvOJysFlMkcXHG0JnW0MUlFZg0E8PkV5Qihcx2ehX40WOxWSgnRkX79MLldIWz75MREdLfYn7320Z+lGWoKLhOpO6VYwdO1bqTC9evChXYVTURlNTU+Q7IQSSOiZMuRr4fUYXtPv2JiJTC7FrgguASh8GSeuazehuq8jiSk1NXcrAy9FU6ecQhyRtNkZauByYhIOfuoPNYsLFSl/oiN1UYDAYaN1CB19dDMaOT1yE2/1jsrC0pyk8HVvBQ8zCzK1b6ODhqn64FpKCJX+/xi9TOsFcT6PeXrS8knKceBYLA202boSkQIuthnbmuojPKsbNsFRcCUoGAOwcNnr6uQAAQ0tJREFU74KScj6mdrUW6RX0i87GpK6yO5dyNdREZg19jPbYGGhqauJFeDZWelde/9KGtqjJNE8bfH0xBF1myne8MhBXZyGJeSI9qHN6tsJUD2vkl5TDSIcj8sKozmJiYHtT+EVni/RUhqfmo6OMM1rrgsVkYMcnHXHoURS6bqlcGF6c4drLwRiP32Wij7li22JKXgnuhqdh/5ROdabrYW+MbdfDsWJQ2wYPS0qChutM6p4mPT094YfL5cLHxwcvX35YzDEgIAA+Pj7Q01NcYwMAW1tbMBiMWp/FixcDAPr27Vtr34IFC0TyiI+Px7Bhw6ClpQUTExOsWrUKFRWiQ1gPHjxAp06dwOFwYG9vj+PHjytUh7wYG4sOoRTyKoSzw8Shoc7CydldUSEQ4MSzWGQXlaGIVwFzvabVWGvqoglJ2hgMBkI2eqNvWxN0tzdW2JusotFks3D2ZSLOvkhABV+AS68TsfDUK7jYmog1mKpgMRkY6WKBUa4t0X37PXx35U2d5+ELKgOO7r7zFmdexGPHJx1xZEZnbBjRAQenuePdliGI3DwY77cMwXdXwrDhf6HY6/MOhbwKHHoYhWfvM8HVUKvzepAEg8EAIUTYK9ac2mN8VjEKSqWbJm5kZITU/FK5Z4BVYcrVgLm+Bm6GpmL37UjwKvgITcqTOpq8MhBXZ6HJecL186rQUGfBhKsh1m+rrZkuYjIKRbZV9ztUFCwmAzO72+LcAk98N7KD2JeJrq0M4R+TpfC2+E9gMmZ2t633BW2oszlYTAYm/eYrnFWtaJrTdSYJqe82x44dE/6/Zs0aTJgwAQcPHgSLVVkRfD4fixYtApfLlZSFXLx48QJ8/ofu09DQUAwcOBDjx48Xbps3bx6+//574XctrQ8Nns/nY9iwYTAzM8OzZ8+QkpKC6dOnQ11dXRi9PCYmBsOGDcOCBQtw6tQp+Pj4YO7cuTA3N4e3t7dC9chKQkKCiCGaW1wOfa26HYd7t2mBLraGGPHLE2z4Jwz7Jrspu5gyU1MXTdSlTZ3V9JcRYDEYsDbUwvXQFPzhF4eYzCLcWtobpemxUh0/o7stZnS3xaJTATj4MArjOlmKnb34p18cPFoZ4djMrmJDBVT/rV6u80JJGR/jD/ri0usk8Cr4SMvn1XJml4WvhrTH9psR2D+lU7Nqj1OO+KFHa2P8UGNRbXEEvo2FpYFiDIBlXm0w89gLqLMY2HfvPTpZ66NrKyN8NUT8skvKpmadEUIQlV4ESwPpXxCtDLXwIFI0ZlNCTgkGtld8L7UWWw1dbA3RRUJvnzZHDeV8gpi4eLh2dAZQudqAGpOBcj4BX0Dk6pl+EZtTZ0iJKnQ4atg+riN8wtOw8UoYto5xlvlc9dGcrjNJyPWqe/ToUTx58kRoMAEAi8XC8uXL0b17d/z4448KK2CLFqIOntu3b0fr1q3Rp08f4TYtLS2JDma3b9/GmzdvcPfuXZiamsLV1RWbNm3CmjVrsHHjRrDZbBw8eBCtWrXCrl27AADt27fHkydP8NNPPzW60VTTVyyvpBx6muKnxldHk83C3eV9kJhT3OC3TGVAsw9cc9f2eX97zOxuiy/+eg11FgMvvvGCJpuF2GLZdC3uZ49fH0ThekgKfp3aSfjwrlp25lZYKk7M7iqVIclRY4GjxsI/n/fEg8h0DHE2l0tbddqa6YJXLkBqXmmzqLPScj5WngvC4A5mCEvO/3eovu7hz5QSFhwtFPMia6TDwZUvegKAME7ZhEO+yCzkwVhH+llRURmFKCnjw9GcK9UEjD98Y1FaLsC83qIO6zXr7NzLRPSwN5JpYkVLfU3E1ggHkJhdDCvDxumZd7XSxz/vcuD6rz08fN8TMBiV61N6tDLE3/O7yaRPICAQECLTzOgB7U1xyj8epeV8hfu6NofrrD7keu2tqKhAREREre0REREQCJQXs6WsrAx//vknZs+eLdJwTp06BWNjYzg5OWHt2rUoLv7giOrr6wtnZ2eYmn54c/D29kZ+fj7CwsKEaby8vETO5e3tDV9fX4ll4fF4yM/PF/kog5o9d5U9TfUbTVVYGmg1yd4NRfdINiWauzYtthpMuBo4NM0df871EL7dyqqrg4Ue9k/phMX97DHj6HM8eZeJm6GpGHfgGfrveoge9sYyt01NNkshBlMVC/rY4fiz2GZRZ3fD0+DRyhDrhjuinbkufKPrj9IdX0DgaK54bWosJtRYTKwe3A7fX3kjMaq0QEAQ/e/wV1mFAN9cCsGk3/yw5Vo4fOpZk7EK/5hsXA1JqbW9Zp1dC0mRaiZgddhqTLTU18TX/8awKuRVIK2gVKoXU2XQp00LHH2RgZO+sQAAc30NLB/YBo9X94OrtT6uhaTg8uskqfN7k5IPBxPZDZWBjqbw3OaD4T8/RmJOMa4F1/79xa3fWR/N4TqrD7l6mmbNmoU5c+YgKioKXbt2BQD4+/tj+/btmDVrlkILWJ3Lly8jNzcXM2fOFG6bMmUKbGxsYGFhgeDgYKxZswaRkZFCZ/TU1FQRgwmA8HtqamqdafLz81FSUiLWeW3btm347rvvFClPLMnJyTA0/NCdm1tSJpPR1FSpqYsmaNFWcxhYXl3eHcyQlFOCT3/3BwCsH+6IP2Z7QEej8X263G0MsNfnHSJjePBswnWWV1KOGyGp2PTv0jmL+9njy79ew9GcK3G4XiAgePouHUsHyz5bTlq62RkhIC4HLt/dxq7xLvB2MhPxMYvLLkb/XQ9xdGZnHH8Wh842Bri7rA/CUvIQllT/iyYhBHkl5XCz0od/dJaIT1319vgurQBWhppy9YxsGu2EuSdeoIhXgZ993iExp6RRwoAAlYFwr0y1xui/3sCMqwEjbQ4GdagcRene2hgzjj5HD3sjOLXkwl6KgK4/3IzAplGSl1uSxKQuVhjpYoHvr7xBzx/uQ53FwPWQFOhpqaO9ORffXg4FAHze30GmfGm4N8p119q5cyfMzMywa9cupKRUWqDm5uZYtWoVVqxYodACVuf333/HkCFDYGHxIQDX/Pnzhf87OzvD3NwcAwYMQFRUFFq3bq20sqxduxbLly8Xfs/Pz4eVlZXCzyOup6mlftNy6pYHGt44JEGrtobomu5pg862BnVOe24MGAwGZvdshX8CY+Dp3tilEQ+vgo8um+/ChMsRrqtorMPB/N52OOUfLzGwp19MFrrY6Ck1aC1QacB1b22EtRdDkJRbgi8HfHiQpuSWwKu9CWYff4nP+9kL97XQ4SCzqP4o1O/+jZg/u6cthu17gpndbbFsYBsAou3x0uskjHeX//472MkcN0NTkV9agbOfecqdjyLQ09PDvRV2GPnLUxz89EOj7N7aCMdmdoGjBRcrzwXhjzl1+/OV8wXgqLFgK2EppbpgMBjQ5qhhUb/WOPMyAe+2DEVoUh6G//wEo10tcH6BJ3QlrKBQFzTcG+Uat2EymVi9ejWSkpKQm5uL3NxcJCUlYfXq1SJ+Tk+fPgWPp5jw7HFxcbh79y7mzp1bZzoPj8qGVLU2npmZGdLS0kTSVH2v8oOSlIbL5UqcIsnhcMDlckU+yqC6Uzvwr08TBT1NNXXRBK3aGqJLjcVscgZTFf3amiAhr6LOeFCNyZN3mVg2sA2uL+klsr2nvbFwseiaEELw461IjHJRboTnKtysDXDty161Yjkl55VijJslYrcPE4Y9AABdDXUUlEpe57AKn/B0eLU3gaWBFoI2DEJQYq5wKLB6e3ybVgCnlvI7GA92MsOOWxH463m80DBtLLS0tGBjpI2gDYNEYpCps5jo184EplwNGGmz61w2CwB+uBEBN2v9BpXFxkgbz7+ujCXn1FIPsduHYc8kN3S2NRQGSJUFGu6NDXZ2qctgGDJkCJKSpB9/rYtjx47BxMQEw4YNqzNdYGAggMqeLwDw9PRESEgI0tM/jJ/fuXMHXC4Xjo6OwjQ+Pj4i+dy5cweeno37xgF8GEKsIqeoDPqNNN6uSGrqoglatdGqCwDmu2rjtH98YxejFgIBwV/PEzCuU8taayOqsZgw43KQnFtS67g3KflwtzYAs+TjBaRkMRmwM9bGJweeCbdFZxTCQr/2RBRdDbU6jSZCCCYc8sXN0BSR2FLTutngwIPKyPPV26OAoEHL+Ohw1PD7jC4AGn+GqzTXmbm+JlKrLcBcE0IInsdmY24v8ctqyYKJAicS0XAPUWrrUFTYfYFAgGPHjmHGjBlQU/swohgVFYVNmzYhICAAsbGx+OeffzB9+nT07t0bHTtWTj8YNGgQHB0dMW3aNAQFBeHWrVtYt24dFi9eLFwHZ8GCBYiOjsbq1asRERGBX3/9FWfPnsWyZcsUUv6GYGBgIPI9s5AHYzHTt5sbNXXRBK3aaNUFAK1btkBmUZlwVlhTgBCCHbci0clGX+KDq4e9sViH6v8FJmOEi8VHr7MVg9ogq6gMecXl2Ho9HCl5pXAW0wOkxWYhq1DyKERSbgkSs4uxxMtBJBxFv7YmCE+p9IWq0vY+vQDWCoirVNWT0thIU2cCAcHCUwES94ck5cGjlaHSh2ZlhYZ7SNObViWGu3fvIj4+HrNnzxbZzmazcffuXQwaNAjt2rXDihUrMG7cOFy5ckWYhsVi4erVq2CxWPD09MSnn36K6dOni8R1atWqFa5du4Y7d+7AxcUFu3btwpEjRxo93AAAqKuLvl0W8iqg20SDIspCTV00Qas2WnUBldqcW3IRkVrQ2EVBaTkfRbwKtFp7Ha/icrCor+TFiAc6muKGmJllb9MK0NFS76PXma6GOnaOd8G8ky+RV1yOnya6Qk1Mzw2DwYC5nibSJfSW3I/MwKrBbdG/negEHSaTAQt9DZwPSBRquxWWhkGNFP1fGUhTZ0u92sDBRAfpBeJ/v4eRGRjo2PTWeaPhHtIsnr6DBg0S22tlZWWFhw8f1nu8jY0Nrl+/Xmeavn374vXr13KXUVmkp6fDxOTDOkWEoNFmdiiSmrpoglZttOoCKrV1sm6B1/E5DfKNUQS/P4nBj7cioc5iYJqnTZ1ptdhqaGWsLRLF2i86Cy31NcFgMBqlztxtDHB2Qf2uDT0djPA0KhNj3GovjOsTnobfpnUWe9z3o5yw7Ewg2EXASBMTvIjNxvzesoUaaMpIU2eabBbGuFliyJ7HeLnOS+SZUMEXwC8mCwv6Km8ilLzQcA9pFj1N/2WMjGRfjLQ5QKsugF5ttOoCKrW5WunjdXxuo5Yjr7gc9yLScf3LXniwqh9GSOHIbW+iI7L48O9PYvD10PYAmnad9XZogd8exaC0nC+yUGxcVhFMdTXERokHKn2Oxne2wvsCJrKLyqCrod7ofkiKRNo6G+xkhk/cLRGSlAeBgIAQggq+AMvOBsHNyqBJ/iZNuT1Ki1J7mmjoEWlKlPMFUGOpflMVKpSBkQ4HBbwKnPSNxbRuNo1y/zrzMh7ze9vJFMXbuaUeHr3NQO82LUAIQTlf0GTXNayOkQ4Hzi25GLrvMeyMteFgqot+bU0w4ZAvzszvVuexnaz1ceLxWzx+lyGy2O5/jXHulphwyBdqTCY6WHARnVkIO2MdkZmKKhSLzKYoIQTx8fEoLZXsuV89rYqGkZX1IepvdlEZDLWbvxM4IKqLNmjVRqsu4IO236a5o5BXgdXngxulHIEJuejeWra38U7WBvCLyUYFX4DEnBJYVVtrrqnX2eJ+9mAAODy9cihuz9230OWooWurugMg6mqoI7+IhytByejfrnkP99REljprY6qL3g4tcO3LnmAxGUjILsHIjxRmQh6aenuUBplfRwghsLe3R1hYGBwc6o4GWlDQ+E6VzZ3q478ZBTyxC582R5r7uHZd0KqNVl3AB20MBgOL+tpj2ZlAvE8vhL0cS1DIS1YhD+V8InPQQCaTgWHO5rjwKhFabDV0tPzgk9XU68zaUAun51Wup7ZmcOXCv3xB/WvqAUBbcy5yy5iNHldJ0chaZ1ULsh+d2QW2X12DNqdpzZirTlNvj9Igc08Tk8mEg4MDFRZjc6C8/EMAs4xCeoym6rpog1ZttOoCamtb2Lc1fn8S/dHOz6uoXIx3xaA2ch0/1cMat8PSEJyYCxcrfeH2pl5nDAaj1oLi0sZbam+iiSke1sooVqPSkDo7t8ATnnbGCiyNYmnq7VEa5PIU2759O1atWoXQ0FBFl0dFDXJyPgSnyyjgoYUOHW9V1XXRBq3aaNUF1NbWxlQXucXlyKwjlpAi+fKv15juaYt2ZvKtLKDGYkJACN6k5KN1iw+9YzTXmasRQQ/7pmsgyEtD6qyLrWGTXjGChvYol9E0ffp0PH/+HC4uLtDU1IShoaHIR4XiqFrqBQByi8tgIGFxzuZGdV20Qas2WnUB4rVN6GyFi68Shd+zi8pQLkXwy5IyPgSCD/6cpeX8OtMXlJaDEKBfA31zTHQ1wGYxRXpq/mt1RgO06gLo0CbXFIs9e/YouBgqJFFcXCz8P6+kHFwKllABRHXRBq3aaNUFiNfW3d4Ip/zjMb935fdDj6LgaM7FKNeWdeY1/tAzOFnoYd1wR1wPScHq88GI2TZUop/OkccxGN+54Yt9rx3aDoIac2/+a3VGA7TqAujQJpfRNGPGDEWXQ4UE8vPzP/xfUkGN0VRdF23Qqo1WXYB4bZVLUBDwKvjgqLGQmleKlNzSOo2m4rIKhCblIzQpHy5W+vhfYBKWebXBjluRMONqoLiMj1GuFjDX0wCDwcDT95l48j4TSwbUPalGGvTF9EL/1+qMBmjVBdChTe7oV1FRUVi3bh0mT54sXAz3xo0bCAsLU1jhVAAWFh+mj+aXlkOPEqOpui7aoFUbrboAydrcrA0QlJAHAEjP54HBAJ69zxTurxlW5dHbTHzRv3LZE//oLLhaGeCzPnZoZ6YLMz0NxGUVofv2e/CPyQYA/P0iAb9O7QRmAxabrYv/Yp01d2jVBdChTS6j6eHDh3B2doa/vz8uXryIwsJCAEBQUBA2bNig0AJu3LgRDAZD5NOuXTvh/tLSUixevBhGRkbQ0dHBuHHjkJaWJpJHfHw8hg0bBi0tLZiYmGDVqlWoqBBdYfvBgwfo1KkTOBwO7O3tcfz4cYXqkJfqlnkRrwLa7KY7nVQWaHjjkASt2mjVBUjW1s3OCM+iMpFXXA4zPQ2sH+6IcwGVfk6j9j9Fq7XXEZ/1YcjhWkgKJne1xvaxzrgcmIyRLhbQUGdhlGtLeHcww/ZxHfHsq/44+zIB5XwBinkVtWaPfQxdNECrNlp1AXRok8to+uqrr7B582bcuXMHbPaHLuH+/fvDz89PYYWrokOHDkhJSRF+njx5Ity3bNkyXLlyBefOncPDhw+RnJyMsWPHCvfz+XwMGzYMZWVlePbsGU6cOIHjx49j/fr1wjQxMTEYNmwY+vXrh8DAQCxduhRz587FrVu3FK5FVqoMUoCedecAUV20Qas2WnUBkrV1tNTDteAUnH+VCBdLPRjpcJBRwMOPtyIQlJALAOiz8z4AICQxD1wNNVjoa2JSV2sErR8kNrK3hb4msgrLcD4gER2UvM7df7HOmju06gIo0UbkQFtbm0RHRxNCCNHR0SFRUVGEEEJiYmIIh8ORJ0uJbNiwgbi4uIjdl5ubS9TV1cm5c+eE28LDwwkA4uvrSwgh5Pr164TJZJLU1FRhmgMHDhAul0t4PB4hhJDVq1eTDh06iOQ9ceJE4u3tLXU58/LyCACSl5cn9THSkJubK/x/9rHnCs27MamuizZo1UarLkLq1vYiJovYrLlKsgsr7xf+0Vnk7It4ciEggSw+FUCc1t8khBCy+WoYCUuS7vq/+CqB2Ky5Sp7HZDW88HXwX62z5gytugipX5uynqOKRK6eJn19faSkpNTa/vr1a7RsWffMEnl49+4dLCwsYGdnh6lTpyI+Ph4AEBAQgPLycnh5eQnTtmvXDtbW1vD19QUA+Pr6wtnZGaampsI03t7eyM/PF/pf+fr6iuRRlaYqD3HweDzk5+eLfJRBZmZm/YmaIbTqAujVRqsuoG5tnawNAAD6/8a/6drKEOM7W2FsJ0v8MqUTurQyhEBAEJVRhPbmulKdb4ybJWK3D0MXW+WGaPmv1llzhlZdAB3a5DKaJk2ahDVr1iA1NRUMBgMCgQBPnz7FypUrMX36dIUW0MPDA8ePH8fNmzdx4MABxMTEoFevXigoKEBqairYbDb09fVFjjE1NUVqaioAIDU1VcRgqtpfta+uNPn5+SgpKRFbrm3btkFPT0/4sbJq+JRhcVQ/PyUjcwAg8XelAVq10aoLqFsbk8nAhYWeEofGLfQ18DohF+/TC5vc8Pl/tc6aM7TqAujQJlfIga1bt2Lx4sWwsrICn8+Ho6Mj+Hw+pkyZgnXr1im0gEOGDBH+37FjR3h4eMDGxgZnz56FpqamQs8lC2vXrsXy5cuF3/Pz85ViONnY2ACoXGZBnSX3ZMcmR5UuGqFVG626gPq1udtI7hFqoaOBjf+EYaizuaKL1WD+y3XWXKFVF0CHNrmewmw2G4cPH0ZUVBSuXr2KP//8ExEREfjjjz/AYil3dpe+vj7atGmD9+/fw8zMDGVlZcjNzRVJk5aWJow8amZmVms2XdX3+tJwuVyJhhmHwwGXyxX5KIOq3rC8YnrCDQAfdNEIrdpo1QU0TJuZHgcFpeVYM7itAkukGFR11vygVRdAh7YGdV1YW1tjyJAhGD9+PBwcGh6cTRoKCwsRFRUFc3NzuLu7Q11dHT4+PsL9kZGRiI+Ph6enJwDA09MTISEhwlhSAHDnzh1wuVw4OjoK01TPoypNVR6NCY9XufZVRiEPxjp0LNYLfNBFI7Rqo1UX0DBt492tcHd5nyY3NAeo6qw5QqsugA5tchtNv//+O5ycnKChoQENDQ04OTnhyJEjiiwbAGDlypV4+PAhYmNj8ezZM4wZMwYsFguTJ0+Gnp4e5syZg+XLl+P+/fsICAjArFmz4OnpiW7dugEABg0aBEdHR0ybNg1BQUG4desW1q1bh8WLF4PDqTRCFixYgOjoaKxevRoRERH49ddfcfbsWSxbtkzhemTFzs4OwL+L9erSYzRV6aIRWrXRqgtomDYmkwG1Jjp0rqqz5getugA6tMl1pa9fvx5LlizBiBEjcO7cOZw7dw4jRozAsmXLROIfKYLExERMnjwZbdu2xYQJE2BkZAQ/Pz+0aNECAPDTTz9h+PDhGDduHHr37g0zMzNcvHhReDyLxcLVq1fBYrHg6emJTz/9FNOnT8f3338vTNOqVStcu3YNd+7cgYuLC3bt2oUjR47A29tboVrkoWqmYGJOCSwNGs+HS9FU6aIRWrXRqgugVxutugB6tdGqC6BDm1yO4AcOHMDhw4cxefJk4baRI0eiY8eO+OKLL0QMkoby999/17lfQ0MD+/fvx/79+yWmsbGxwfXr1+vMp2/fvnj9+rVcZVQmVZHLE3KK0bWVcqcnf0xqRmSnCVq10aoLoFcbrboAerXRqgugQ5tcPU3l5eXo3Llzre3u7u5U/ChNCXv7ynWsErNLYGWg1cilURxVumiEVm206gLo1UarLoBebbTqAujQJpfRNG3aNBw4cKDW9t9++w1Tp05tcKFUfCA6OhoAUFLOhyYl684BH3TRCK3aaNUF0KuNVl0Avdpo1QXQoU2u4Tmg0hH89u3bQodrf39/xMfHY/r06SLxi3bv3t3wUv6HEQgEAICmNy+nYVTpohFatdGqC6BXG626AHq10aoLoEMbgxBCZD2oX79+0mXOYODevXsyF6o5kp+fDz09PeTl5Sk0ZlN5eTkYTBYW/PkKR2bUHhJtrpSXl0NdnZ64U9WhVRutugB6tdGqC6BXG626gPq1Kes5qkjk6mm6f/++VOkSExMhEAjAZDbN6bjNgcjISBhb2aOFLruxi6JQIiMj4eTk1NjFUAq0aqNVF0CvNlp1AfRqo1UXQIc2pVozjo6OiI2NVeYp/hNkFfFgpE1PjCYVKlSoUKGiOaJUo0mOkT8VNWjbti2KeHxoc+R2P2uStG3b9JacUBS0aqNVF0CvNlp1AfRqo1UXQIc21bhZEycyMhJFvArocOiZOQdU6qIVWrXRqgugVxutugB6tdGqC6BDm8poagYU8iqgo0FXT5MKFSpUqFDR3FAZTU2cyuG5Cmiz6TKaaOimlQSt2mjVBdCrjVZdAL3aaNUF0KFNqUaTIlb93rZtG7p06QJdXV2YmJhg9OjRtbr4+vbtCwaDIfJZsGCBSJr4+HgMGzYMWlpaMDExwapVq2pFL3/w4AE6deoEDocDe3t7HD9+vMHlbyiRkZGVPU2U+TTR0E0rCVq10aoLoFcbrboAerXRqgugQ1uTdwR/+PAhFi9eDD8/P9y5cwfl5eUYNGgQioqKRNLNmzcPKSkpws+OHTuE+/h8PoYNG4aysjI8e/YMJ06cwPHjx0UWF46JicGwYcPQr18/BAYGYunSpZg7dy5u3brVYA0NgclkUukITnMYClq10aoLoFcbrboAerXRqgugQ5tcwS3FQQip1bOUkJAACwsLsFiKc2LOyMiAiYkJHj58iN69ewOo7GlydXXFnj17xB5z48YNDB8+HMnJyTA1NQUAHDx4EGvWrEFGRgbYbDbWrFmDa9euITQ0VHjcpEmTkJubi5s3b9ZbLmUF5SotLcXuezGY0NkK9iY6Csu3sSktLYWGhkZjF0Mp0KqNVl0Avdpo1QXQq41WXUD92ppDcEuZzD4ej4eVK1eid+/e+OGHHwAAmzdvho6ODnR1dTFlyhTk5+cL01tZWSnUYAKAvLw8AIChoaHI9lOnTsHY2BhOTk5Yu3YtiouLhft8fX3h7OwsNJgAwNvbG/n5+QgLCxOm8fLyEsnT29sbvr6+YsvB4/GQn58v8lEG79+/R0FpBXQpcwR///59YxdBadCqjVZdAL3aaNUF0KuNVl0AHdpkehKvXbsWZ86cweTJk3HixAnEx8fj6tWrOHToEJhMJtavX49169Zh3759SimsQCDA0qVL0aNHD5GoolOmTIGNjQ0sLCwQHByMNWvWIDIyEhcvXgQApKamihhMAITfU1NT60yTn5+PkpISaGpqiuzbtm0bvvvuO4VrrImamhpyi4ugr0VXWH01NbqMwOrQqo1WXQC92mjVBdCrjVZdAB3aZFJw/vx5nDhxAl5eXli0aBEcHBxw8eJFjBo1CgBgbGyMefPmKc1oWrx4MUJDQ/HkyROR7fPnzxf+7+zsDHNzcwwYMABRUVFo3bq1Usqydu1akYWJ8/PzYWX1//bOPC7Kav/jnxkGZthd2FclIUUUFQNxA5dUSkFxSyzJDS3Qm8v1ttgPvZnllt6sa7lhqYiQ1xRJEoGw3MUxIYRQSUUFLhjoVRMcvr8/vPNchlkYhiHsdN6v17x48cyZ83zfc855znnO88x53I2+Hw8PD9Sd/glSCVvrNHl4eLR1CK0Gq26segHsurHqBbDrxqoXwIZbsy7PVVZWwsfHBwDg5eUFExMTdOnSRXjf29sb//73v40b4X+Ji4vDoUOHkJ2dDTc3N51pg4KCAPxvKtDJyQnl5eUqaZT/Ozk56UxjY2OjNssEAFKpFDY2Niqv1uDq1autkm9bw6oXwK4bq14Au26segHsurHqBbDh1qxBk4eHh3CPz9mzZyESiXDmzBnh/dOnT8PV1dWoARIR4uLisH//fmRlZaFz585NfubChQsAAGdnZwBAcHAw8vLyUFFRIaTJyMiAjY0NfH19hTSZmZkq+WRkZCA4ONhIJoYhlbL5zDlWvQB23Vj1Ath1Y9ULYNeNVS+ADbdmXZ6bO3cuXn31VWzduhW5ublYu3Yt3n77bRQWFkIsFmPTpk1YtGiRUQOMjY1FYmIiDhw4AGtra+EeJFtbW5ibm+PKlStITEzECy+8gI4dO+LixYtYsGABBg8ejJ49ewIARowYAV9fX7zyyitYvXo1ysrKsHTpUsTGxgqFOHfuXHzyySdYsmQJZsyYgaysLCQnJyMtLc2oPs2lo70DTMQ1bRpDa6Cc4WMRVt1Y9QLYdWPVC2DXjVUvgBE3aia7d++muLg4SkxMJCKi7OxsGjRoEAUEBNCyZctIoVA0N0udAND4SkhIICKi69ev0+DBg6lDhw4klUqpS5cu9Ne//pVqampU8vnll18oLCyMzM3Nyc7OjhYtWkR1dXUqabKzs6lXr15kZmZGXl5ewj70oaamhgCo7belfHdaTm/uu2jUPJ8G8vLy2jqEVoNVN1a9iNh1Y9WLiF03Vr2ImnZrrX7UmDT7VvaoqChERUUJ/4eGhuLYsWNGGcBpgppYRsrd3R05OTlN5uPp6YlvvvlGZ5rQ0FDI5fJmxdfa/AZT2Fn98X9x0BhN94mxAqturHoB7Lqx6gWw68aqF8CGG3u9MWPUm1qio6VR1h99qrCzs2vrEFoNVt1Y9QLYdWPVC2DXjVUvgA23Zq9p/s0332DWrFlYsmQJCgsLVd779ddfMXToUKMFxwEul5ahg9Uf/+a5xty4caOtQ2g1WHVj1Qtg141VL4BdN1a9ADbcmjVoSkxMRHh4OMrKynDy5En07t0bu3fvFt6vra3V61IZR39+q5ego6VZW4dhdKys2HkkTGNYdWPVC2DXjVUvgF03Vr0ANtyadXluzZo1+OijjzB//nwAQHJyMmbMmIHffvsNM2fObJUA/+w8goS51cABPLXPFTIGrLqx6gWw68aqF8CuG6teABtuzZppKi4uxpgxY4T/J02ahNTUVLzxxhv47LPPjB4cByi7cxc2MvYGTbdu3WrrEFoNVt1Y9QLYdWPVC2DXjVUvgA23Zs002djYoLy8XGWBySFDhuDQoUMYPXo0SktLjR7gn51aMoGNOXuDJhbOOLTBqhurXgC7bqx6Aey6seoFsOHWrJmmwMBAHD58WG17SEgIUlNTsWHDBmPFxfkvvykAayl7P3K0sLBo6xBaDVbdWPUC2HVj1Qtg141VL4ANt2YNmhYsWACZTKbxvdDQUKSmpmLatGlGCYzzhIe/PYJYLGrrMIyOcmV3FmHVjVUvgF03Vr0Adt1Y9QLYcGvWFEZISAhCQkK0vj9kyBAMGTKkxUFx/oeZKXuX5gCgffv2bR1Cq8GqG6teALturHoB7Lqx6gWw4dai6z4VFRWoqKhAfX29ynblM984LUfE4CwTAJgyOhgE2HVj1Qtg141VL4BdN1a9ADbcmr24JQDk5ubCz88Pzs7O6NmzJ3r16oXevXsLfznGY3rPP/66FpqoqKho6xBaDVbdWPUC2HVj1Qtg141VL4ANN4NmmmbMmAEfHx9s27YNjo6OEInYnA15GvD1dGzrEFqFjh07tnUIrQarbqx6Aey6seoFsOvGqhfAhptBg6arV69i37596NKli7Hj4XA4HA6Hw3kqMWjQNGzYMPz444980NQAoicP1b17965R87127RosLS2NmufTAKteALturHoB7Lqx6gWw68aqF9C0m7L/VPanTyMiMiC6yspKREdHIzAwEH5+fmo3d4WHhxstwD8KpaWlcHd3b+swOBwOh8P5Q3Pjxg24ubm1dRgaMWjQlJqaildeeUXjrIpIJIJCoTBKcH8k6uvrcevWLVhbWxvtHq+7d+/C3d0dN27cYGIlVSWsegHsurHqBbDrxqoXwK4bq16Afm5EhHv37sHFxQVisUG/U2t1DLo8N2/ePLz88st499134ejI5o3KzUUsFrfayNjGxoa5BgSw6wWw68aqF8CuG6teALturHoBTbvZ2tr+jtE0H4OGclVVVViwYAEfMHE4HA6Hw/nTYNCgKTIyEtnZ2caOhcPhcDgcDuepxaDLcz4+Pnjrrbfwww8/oEePHmo3gs+fP98owf3ZkUqliI+Ph1QqbetQjAqrXgC7bqx6Aey6seoFsOvGqhfAjptBN4J37txZe4YiEa5evdqioDgcDofD4XCeNgwaNHE4HA6Hw+H82Xg6f9PH4XA4HA6H85Rh8LPndLF9+3aDguFwOBwOh8N5WjFo0PTrr7+q/F9XV4f8/HxUV1dj6NChRgmMw+FwOBwO56mCjIRCoaCYmBhatWqVsbL83Vi5ciX17duXrKysyN7eniIiIqiwsFAlzcOHD+n111+nDh06kKWlJUVGRlJZWZlKmnnz5lGfPn3IzMyM/P391fbz8OFDio6OJj8/PzIxMaGIiAi9Y0xOTqZnn32WpFIp+fn5UVpamsr7+/bto+eff546dOhAAEgulzfpVVJSQtOmTSNra2sCQCKRiLp27UrXr19XyTsuLo5cXV1JJBKRSCQiFxcXWrFiRYu98vPzKTIykjw9PQkArV+/XmO6Tz75hDw9PUkqlVJgYCCdPn26SbeqqiqaPHkymZqakkgkIolEQuHh4UKZFRYWUmhoKJmbm5NIJCIA5ODgQLW1tSr7zs7OpvDwcHJyciILCwvy9/enXbt26eWnKe7GnDhxgoYMGUIWFhZkbW1NnTp1oj59+uisi0VFReTh4UEACAB5e3tTaWmpSpqQkBCSSqUEgKRSKX3xxRcq7yv9HRwcSCqVUufOnemdd95R82+uV1VVFcXFxZGPjw/JZDJyd3enefPmUXV1tc4yU9YhX19fEolEZGpqqrOd+fj4EACSyWRq8RnqlpOTQ6NHjyZnZ2cCQPv371dLU19fT++++y45OTmRTCajYcOG0cKFC3XWxQsXLtDEiRPJ0tJSaGc9e/ZU8dq3bx+5u7uTiYkJASALCwtKT0/XGmtxcTFZWVmRra2tTiclhtTFQYMG0fLly7W6XbhwgV566SVydXUlExMTEovFZGZmplZmn3zyCbVv3144fnh4eKjtu6SkRKjPDV8nT55ssVtMTAx5eXmRTCYjOzs7Cg8PpwULFjR5zD9z5oxQF0QiEfn5+anVxZiYGLK3txfSeHt7qxybDfXSpy5qOuYTNd2frVixgoKCgsjExIREIpHGdjZv3jyyt7cXykxTf0b0pD2sWbOGvL29yczMTK1v0EZT/Zmm7wwArV69Wme+TfXBRETp6ekUFBREVlZWZGdnR5GRkVRSUtJkzEqMdk+TWCzGwoULsX79emNl+buRk5OD2NhYnDp1ChkZGairq8OIESNw//59Ic2CBQuQmpqKlJQU5OTk4NatW4iMjFTLa8aMGZg8ebLG/SgUCpibm2P+/PkYPny43vGdOHECU6ZMwcyZMyGXyzF27FiMHTsW+fn5Qpr79+9j4MCBWLVqld5ehYWFOH36NGQyGXbu3Im1a9fi8uXL6Nevn8r+jx07hrq6OoSEhKBr1644ePAgAgMDW+z14MEDeHl54cMPP4STk5PGNHv37sXChQsRHx+P8+fPw9/fHyNHjkRGRoZOt6lTp+Lo0aPo0KED1q9fDycnJxw/flwoM1NTU0ybNg1jx47F8uXLERoaijt37iA+Pl7tu+/Zsyf27duHixcvYvr06Zg2bRoOHTqk001b3BUVFUKakydPYtSoURgxYgTOnDmDs2fPwtbWFnPnztXqpVAoEBwcjPLycnz++ef4xz/+gZKSEgQFBQn5btq0CSdOnEBUVBTGjh0LJycnxMbGIjU1VUij9D9y5AiKioqwYcMGbNmyRc2/uV63bt3CrVu3sHbtWuTn52PHjh1IT0/HzJkzddZHZR2yt7eHVCrFc889p7WdPXr0CFVVVXB2dtYYo6Fu9+/fh7+/Pz799FOtaVavXo2PP/4Yn332GU6fPg1LS0ts2rQJMTExWsssNzcXhYWFsLS0xM6dO7F8+XLk5eUhODhYyPfYsWNwd3fHwoULERERASsrK4wZMwZyuVwthrq6OkyZMgWDBg3S6aPE0LoYFxeHH374QWuZ5ebmwsHBAQEBAXBwcMCSJUsgEolw/vx5ocw2bdqEt956C0FBQYiPj8fAgQNRWlqqUhcbcvToUdy+fVt4BQQEtNgtICAACQkJuHTpEr799lsQETZt2oTXXntNa5ndvXsXISEhqKmpwbZt27BixQr89NNPGDBggJBvbW0tvv76a9jb22PkyJHo2rUrtmzZAldX1xZ76VMXNR3zgaaP+7W1tTAxMYGFhQUsLCy0tjNfX18899xzaNeundYY/vKXv2Dr1q1Yu3YtCgsL1foGTejTnzX8rm7fvo3t27dDJBJh/PjxOvMGdPfBJSUliIiIwNChQ3HhwgV8++23qKys1NiXa0Xv4ZUepKWlkZ2dnTGzbBMqKioIAOXk5BARUXV1NZmamlJKSoqQ5tKlS1rPGOLj47WOcpVER0frPSMzadIkevHFF1W2BQUF0Zw5c9TSKs9slGcdDdHHa/HixSpeBQUFJJFIqLCw0OheDfH09NQ40xQYGEixsbHC/wqFglxcXOiDDz7Q6lZQUEAASCKRCG6HDx/WeZYXHx9P9vb2NHDgwCZjfeGFF2j69Ok60+gTd1BQEC1dulRnPo3LLCUlhQDQli1bVGIHQMeOHSMiouDgYFq8eLHwnr+/Py1cuJAGDBigc18LFixo0l/f8mhIcnIymZmZUV1dnU43ZX0MCQkR6pCmdjZ58mRaunQphYSEaJxpMtStIdBwdl9fX09OTk60Zs0aYVt1dTVJpVLas2dPk14N29mUKVOaPH74+vrS8uXL1d5fsmQJvfzyy5SQkKDXTJOx6qI+bq+//joFBgYKbg3rotLN3t5erS7qOm611K0xP/74IwGgy5cva/Vat24dAVAp11mzZqmU2aZNm8jLy4tqa2u1HhsN9WqIprrYnH1oK7PXX39dqD/a+rP4+HhydHTU6Nawb2gOzenPlERERNDQoUP13oe28khJSSGJREIKhULYdvDgQRKJRHrNshMZONO0cOFCldeCBQvw0ksvYfLkyVpHeH8kampqAAAdOnQA8ORMsa6uTmUWpWvXrvDw8MDJkydbPZ6TJ0+qzeCMHDmy2fvWx0sqlcLMzEzIOzU1FV5eXjh06BA2bNiAgoICzJo1C3fu3GmJkl7U1tYiNzdXJT6xWIzhw4eruTd0O3nyJCwtLfH48WPhs8OHD4eJiQns7Ow0fm937twRzi6boqamRvgODY27oqICp0+fhoODA/r37w9HR0eEhITghx9+0OoFAAcOHAAATJgwQUgTHR0NAPj6668BPJmJkclkKvmYm5vjzJkzqKur0xjz5cuXkZ6ertO/OeXR2MHGxgYSiURte0M3ZX10cXER0jRuZwkJCbh69WqTs0bNddOHkpISlJWVqfjb2toiKChIxV+fdiYWi2FhYaHze7t3755aPcvKykJKSorOGYiGGLMu6uNWU1MDd3d3ocw01UWRSKS1LoaHh8PBwQEDBw7EwYMHW+zWmPv37yMhIQGdO3eGu7u7Vq/Dhw8DAEaNGiWkiYqKAgBkZmYCAA4ePIjg4GDExsZizZo1KCoqwsqVKzU+sL45XsZGW5l1795dSGNIf9awb+jcuTM6deqkV9/Q3P6svLwcaWlpmDlzpt6xaSMgIABisRgJCQlQKBSoqanBzp07MXz4cLVFurVh0KBJLpervC5evAgAWLduHTZs2GBIlk8N9fX1eOONNzBgwAD4+fkBAMrKymBmZqY2Teno6IiysrJWj6msrEztOX/N3bc+XpcvX8bGjRvh4uIi5H316lVcu3YNKSkpGDduHDw8PJCbm6vSabcWlZWVUCgUTbo3disrK4O1tbWKm0QiQYcOHWBpaany2f79+0Mmk2Hjxo2wsrLC3//+d50xJScn4+zZs5g+fXqL4lYuALts2TLMnj0b6enp6NOnD4YNG4bi4mKNXgBw8+ZNiEQilbqo3M/169cBPDkAbd26Fbm5uSAiPHjwAFu3bkVdXR0qKytVYlL6e3t7Y9CgQTr99S2Pxp957733EBMTo7JdV300MzPTmH9xcTHefPNN7Nq1S20AponmuOmD0lGXvz7t7MSJE9i7dy/c3Ny0fm8VFRX4z3/+g0mTJgnbqqqq8Oqrr2LHjh16P8zVWHVRHzelV0xMjJB/47p469Yt3LlzR60uWllZYd26dUhJSUFaWhoGDhyIsWPH6hxgNKc+/vOf/4SVlRWsrKxw+PBhZGRkCPVMm5dYLNbYzkpKSoTv7auvvoJCocDUqVPh6OiIdevWYcWKFS3yMia6yszCwkIlbXP7lIZ9w5dffokdO3bo1Tc0tz/74osvYG1t3bxLaFro3Lkzjhw5grfffhtSqRTt2rVDaWkpkpOT9c7DoEFTdna2yiszMxNJSUmIiYnR62D2NBMbG4v8/HwkJSX97vu+fv260LCtrKywcuVKo+Xdo0cPfPPNNzh//jysrKzU3r958yZGjRqFiRMnwt7eXtheX1+PR48e4csvv4SnpyesrKywbds2ZGdno6ioqM295s6dC6lUKrg1l7179wr3YNy9exdr167VmjY7OxvTp0/Hli1bhLO077//XsVt9+7deu23vr4eADBnzhxMnz4dvXv3xvr16/Hss88KS3Z06tRJ8Gp4VtgU7777LsLCwtCvXz+89957KCkpEWajxGLVJq/0T0xMRFpamuBvqFdD7t69ixdffBG+vr5YtmyZsL179+5Cmel7dldfX4+oqCgsX74cPj4+en2mNd200VSZ5efnIyIiAvHx8Vqf5p6Xl4eysjIkJyfDwcFB2D579mxERUVh8ODBGj/XmnUxLCxMKLOG9wtp8hoxYoSwvWFdNDU1xZ49e4QZj4Z10c7ODgsXLkRQUBCee+45fPjhh3j55ZexZs2aFrkpmTp1KuRyOXJycuDj44NJkybht99+E/atLLOwsDC986yvr4eDgwM2b94MFxcXtGvXDu+88w4+++yz381LFy09NjZFw75h0KBBCA0NVekbjHXc3759O6ZOnaoyYxkWFibk25xjY1lZGWbPno3o6GicPXsWOTk5MDMzw4QJE0B6rvNt0Ajn4cOHICJhpHrt2jXs378fvr6+Kg3mj0ZcXBwOHTqEY8eOwc3NTdju5OSE2tpaVFdXq5x5lJeXa72B2RBcXFxw4cIF4X/lwcXJyQnl5eUqaZuz77i4OFRXVyMzM1NlSlrpdenSJURERKB///7YvHkzOnfuLOTt7OwMiUSi0lF169YNwJPB0LPPPmuwV1PY2dnBxMREp3tdXR3s7OyQmJgouDk5OeHevXsqZfb48WPcuXMHRKTyvSk/06NHD5w7dw7Lli3DokWLYGJiorLPnJwcjBkzBuvXr8e0adOE7X379lVxc3R0hFQqbTJu5U3Mvr6+Kmm6deuG69evIy4uDo8fPxbKTDm4cHV1BRGp1EXlfjw8PAA8uRS3fft2fP755/jb3/6GrKwsdOrUCdbW1ioD4ob+vr6+UCgUiImJwaJFiwz2UnLv3j2MGjUK1tbW2L9/v8rgqG/fvrhz5w4SExNV6pWyPtbW1qrl3759e5w7dw5yuRxxcXEAIFwGkUgkOHLkiNpyJ81x0welY3l5ucpN6OXl5ejVq5fWMlN6nTp1ChEREYiJicHSpUuxZcsWte8tKSkJBw8eRKdOndQuYWRlZeHgwYPC4I+IUF9fD4lEgs2bN2PKlCmtUheVeSnbmZeXl8p3UltbiyFDhgheDfNvWBfLy8uxefNmJCQkaKyLjQkKCkJGRgYAw9uZEltbW9ja2sLb2xv9+vVD+/btsX//fhw/fhwymUwoM3Nzc8FLuYxO43amfIyYs7MzTE1NVY4V3bp1Q1lZGWpra9VmTPX1Mhaajo1Kt9raWjx48EAlfXP7s6b6hiFDhrS4P/v+++9RVFSEvXv3qmzfunUrHj58CAB6n3gBwKeffgpbW1usXr1a2LZr1y64u7vj9OnTaj+C0oRBg6aIiAhERkZi7ty5qK6uRmBgIMzMzFBZWYmPPvoIr732miHZthlEhHnz5mH//v347rvv1J6tFxAQAFNTU2RmZgp37ytH0g1/AdNSJBIJunTporY9ODgYmZmZeOONN4RtGRkZTe67sZe3t7fK+0qvoUOHIjQ0FAkJCSguLlbxGjBgAB4/fowrV64In/v5558BAJ6eni3yagozMzMEBAQgMzMTY8eOBfDk7CYzMxOxsbGIi4tDeno6jh07puIWHByM+/fvQyKRCGWWlZUFhUKByspKnd9bXV0d6uvrVQ6E3333HUaPHo1Vq1apXWYyNzfX6KYtbmWH36lTJ7i4uKjN1hUVFcHExARlZWXIyclRK7OIiAjs2rUL//rXv4RFZnfu3Cm81xBTU1PhMk5SUhJGjx6tNtPUkPr6esHfUC/gyQzTyJEjIZVKcfDgQeEMUVkfjx49qlZmyrxNTU1x+/ZtYRZG2c5CQ0ORl5enkn769OnIy8vDuXPndD4PU1+3plCeTGRmZqJXr16C66lTpyCTyZCfn6+xzAICAiCRSDBy5EjMmTMH77//vsbjx549ezBjxgyMHz8ehYWFavs/efKkyv0yBw4cwKpVq3DixAm4uroavS7+/PPPGDVqFOLi4pCRkaGxzJQnzv3798f7778PQPOx0dTUFG5ubhCLxfj1118RHh6usy4CwIULF4QBXUvqY2OUg82tW7eisLBQY5mFhYXh6NGj+Pbbb4X7dJVXH4YNGwbgybExMTFRmKlTfmfOzs5aB0z6erUEZTvTdGwE/tfOCgoKhG2G9GcN+4ZnnnkGgGrfYIz+bNu2bQgICIC/v7/Kdk2/UNSHBw8eqNU75bG+YTnqRO/b0RvQsWNHys/PJyKiLVu2UM+ePUmhUFBycjJ17drVkCzblNdee41sbW3pu+++o9u3bwuvBw8eCGnmzp1LHh4elJWVRefOnaPg4GAKDg5Wyae4uJjkcjnNmTOHfHx8SC6Xk1wup0ePHglpfvrpJ5LL5TRmzBgKDQ0V0uji+PHjJJFIaO3atXTp0iWKj48nU1NTysvLE9JUVVWRXC6ntLQ0AkBJSUk0ceJEsrGx0epVWlpKNjY2JJPJaO/evZSenk59+/alvn37CvkqFAry9fWlPn360Pjx48nDw4P8/PyoX79+LfZ69OiRkM7Z2ZkWL15McrmciouLhTRJSUkklUppx44dVFBQQDExMdSuXTuKjo7WWWajRo0iOzs7cnJyoo8//pjc3d3Jzs5OKLNdu3bR3r176fDhw5SamkrDhw8nExMTCgsLUymzrKwssrCwoLfeektlP1VVVTrdtMXdcC2U9evXk42NDaWkpFBxcTEtXbqUTExMyNraWqvX48ePqUOHDiSTyWjLli20ceNGkkgk5OrqKuRbVFREa9eupa+//prGjRtH1tbWZGNjQ2lpaYKX0r+goICuXLlCe/fuJRcXF5o6dWqLvGpqaigoKIh69OhBly9fVnGYO3euzjL76aefaMKECWRubk7+/v60e/du6tmzp9Z2FhAQQFKpVK2dGep27949IS8A9NFHH5FcLqdr164JaT788ENq164dHThwgC5evEgRERFkbW2t0ysvL49kMhlZWlrSV199pbGd7d69m0xMTOjNN9+kV155hZ555hnKyMigY8eOqbSzhuj76zlD66JMJqOoqCitbnl5eWRvb0/e3t7k6uqq4qYss6KiItq5cydlZGTQzp076ZlnniGxWExpaWkqZbZjxw5KTEykS5cu0aVLl+j9998nsVhM27dvb5HblStXaOXKlXTu3Dm6du0aHT9+nMaMGUNSqVTnsbG6uprMzc3J0tKStm/fTitXriSxWExeXl7Cvq9fv06WlpY0efJkmjx5Mrm6ulL79u0pNja2xV761EVNx3y5XN7ksfHatWs0YcIEsrW1JZlMJrSzwMBAIe/i4mI6cOAAjR8/nmxtbcnT05OSkpLozJkzgptCoaA+ffrQ4MGD6fz583Tu3DkKCgqi559/XqebPv0Z0ZNjiYWFBW3atElnfg1pqg/OzMwkkUhEy5cvp59//plyc3Np5MiR5OnpqdLf68KgQZO5ublQeBMnTqRly5YR0ZNKZG5ubkiWbQq0LKSVkJAgpFEubtm+fXuysLCgcePG0e3bt1XyCQkJ0ZhPw4WzlAs5Nn41RXJyMvn4+JCZmRl1795dbTGwhIQErR7avHR9piHBwcGt4qVt4beQkBCVdBs3biQPDw8yMzOjwMBAOnXqVJNuVVVVNGnSJDI1NRWWHxgzZoxQZklJSdSnTx8Si8U63aKjo/WKUROa4m7MBx98QG5ubmRhYaH1e25cFwsLC1UWt+zSpQvduHFDeL+goEBYSFGbl9LfysqKLC0tydfXl1auXEkPHz5skVd2drbe9bCxm7Y61Nx2Zqibttijo6OFNMrFLR0dHUkqldKwYcOa9FIuCdH45ebm1qRT43bWEH0HTU2VmZLGdfH777/X6abNy9zcXCizgoIC6tWrV5PtbMeOHdStWzeysLAgGxsbCgwMVFmiwVC3mzdvUlhYGDk4OJCpqSm5ublRVFSUXu2s8eKW3bt3V6uLvXv3bhUvfepic475Dd20HdP27dsn5K1vfbx58yZFRkaSlZUVOTo60quvvtrkCSVR0/0ZEdHnn39O5ubmVF1d3WR+TcXdMOY9e/ZQ796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"text/plain": [ - "
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" ] }, "metadata": {}, @@ -2086,7 +4727,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "ffb3b2b5-18f5-4187-b72f-e8848e0a9f7b", "metadata": {}, @@ -2098,7 +4738,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 118, "id": "6d6b8394-de68-4ce6-898b-02f5d2baed2c", "metadata": {}, "outputs": [], @@ -2110,22 +4750,15 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 119, "id": "44dfa773-1cff-47c9-babc-a003bd2c9315", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The number of plots (80) is larger than \"options.max_num_plots=3\". Only the first plots will be printed.\n" - ] - }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -2137,7 +4770,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "210c3230-06b8-4f13-8a71-ec68ff667cf9", "metadata": {}, @@ -2149,7 +4781,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 120, "id": "14f08bd5-5c88-424e-9db4-42e241fb51bd", "metadata": {}, "outputs": [], @@ -2179,7 +4811,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 121, "id": "af507fc1-a9ea-45c3-86ea-d37661847a7c", "metadata": {}, "outputs": [ @@ -2192,8 +4824,285 @@ }, { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " const force = true;\n", + "\n", + " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", + " root._bokeh_onload_callbacks = [];\n", + " root._bokeh_is_loading = undefined;\n", + " }\n", + "\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", + "\n", + " /**\n", + " * Render data to the DOM node\n", + " */\n", + " function render(props, node) {\n", + " const script = document.createElement(\"script\");\n", + " node.appendChild(script);\n", + " }\n", + "\n", + " /**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + " function handleClearOutput(event, handle) {\n", + " const cell = handle.cell;\n", + "\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", + " // Clean up Bokeh references\n", + " if (id != null && id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + "\n", + " if (server_id !== undefined) {\n", + " // Clean up Bokeh references\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", + " iopub: {\n", + " output: function(msg) {\n", + " const id = msg.content.text.trim();\n", + " if (id in Bokeh.index) {\n", + " Bokeh.index[id].model.document.clear();\n", + " delete Bokeh.index[id];\n", + " }\n", + " }\n", + " }\n", + " });\n", + " // Destroy server and session\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", + " }\n", + " }\n", + "\n", + " /**\n", + " * Handle when a new output is added\n", + " */\n", + " function handleAddOutput(event, handle) {\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", + "\n", + " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", + " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + "\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + "\n", + " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", + " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", + " // store reference to embed id on output_area\n", + " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " }\n", + " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " const bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + " }\n", + "\n", + " function register_renderer(events, OutputArea) {\n", + "\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " const toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[toinsert.length - 1]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " /* Handle when an output is cleared or removed */\n", + " events.on('clear_output.CodeCell', handleClearOutput);\n", + " events.on('delete.Cell', handleClearOutput);\n", + "\n", + " /* Handle when a new output is added */\n", + " events.on('output_added.OutputArea', handleAddOutput);\n", + "\n", + " /**\n", + " * Register the mime type and append_mime function with output_area\n", + " */\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " /* Is output safe? */\n", + " safe: true,\n", + " /* Index of renderer in `output_area.display_order` */\n", + " index: 0\n", + " });\n", + " }\n", + "\n", + " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", + " if (root.Jupyter !== undefined) {\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", + "\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " }\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", + " \"
\\n\"+\n", + " \"

\\n\"+\n", + " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", + " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", + " \"

\\n\"+\n", + " \"
    \\n\"+\n", + " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n", + " \"
  • use INLINE resources instead, as so:
    • \\n\"+\n", + " \"
\\n\"+\n", + " \"\\n\"+\n", + " \"from bokeh.resources import INLINE\\n\"+\n", + " \"output_notebook(resources=INLINE)\\n\"+\n", + " \"\\n\"+\n", + " \"
\"}};\n", + "\n", + " function display_loaded() {\n", + " const el = document.getElementById(null);\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS is loading...\";\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " if (el != null) {\n", + " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(display_loaded, 100)\n", + " }\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls == null || js_urls.length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + "\n", + " function on_error(url) {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error.bind(null, url);\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n", + " const css_urls = [];\n", + "\n", + " const inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {\n", + " }\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if (root.Bokeh !== undefined || force === true) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + "} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " } else if (force !== true) {\n", + " const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n", + " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", + " }\n", + " }\n", + "\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", + " run_inline_js();\n", + " } else {\n", + " load_libs(css_urls, js_urls, function() {\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", + " });\n", + " }\n", + "}(window));" + ], + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
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+ " const render_items = [{\"docid\":\"b3884ed2-a22a-44bf-86d6-93a1f6c90dfc\",\"roots\":{\"p25514\":\"decbb314-6113-41ee-9f7a-8005c47acf13\"},\"root_ids\":[\"p25514\"]}];\n", + " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", + " }\n", + " if (root.Bokeh !== undefined) {\n", + " embed_document(root);\n", + " } else {\n", + " let attempts = 0;\n", + " const timer = setInterval(function(root) {\n", + " if (root.Bokeh !== undefined) {\n", + " clearInterval(timer);\n", + " embed_document(root);\n", + " } else {\n", + " attempts++;\n", + " if (attempts > 100) {\n", + " clearInterval(timer);\n", + " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", + " }\n", + " }\n", + " }, 10, root)\n", + " }\n", + "})(window);" + ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { - "id": "p10373" + "id": "p25514" } }, "output_type": "display_data" @@ -2226,7 +5160,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "e3a6532f-e01f-477e-80e2-90f0a6cd75eb", "metadata": {}, @@ -2239,7 +5172,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 122, "id": "7ed92623-3363-4313-9e9b-5e803a4202f2", "metadata": {}, "outputs": [ @@ -2251,7 +5184,7 @@ "is_unix_timestamp: True" ] }, - "execution_count": 41, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -2263,7 +5196,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "9a7eb607-f492-4b3a-96b7-44d5fed6a1af", "metadata": {}, @@ -2279,7 +5211,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 123, "id": "d8c0e672-7a16-42df-82cd-994132ee0fcc", "metadata": {}, "outputs": [], @@ -2291,7 +5223,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "acd1995c-141f-4703-81f0-fa7bd2839079", "metadata": {}, @@ -2301,7 +5232,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 124, "id": "a08b642e-6750-44b6-b4eb-a26b2bcdcf98", "metadata": {}, "outputs": [ @@ -2521,7 +5452,7 @@ "[5 rows x 70 columns]" ] }, - "execution_count": 43, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -2533,7 +5464,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "de0d77b6-216f-4f54-a173-b2f600fa2d2d", "metadata": {}, @@ -2543,7 +5473,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 125, "id": "799a0b07-50a8-4af3-8ed4-9131b5a102ad", "metadata": {}, "outputs": [ @@ -2763,7 +5693,7 @@ "[5 rows x 70 columns]" ] }, - "execution_count": 44, + "execution_count": 125, "metadata": {}, "output_type": "execute_result" } @@ -2775,7 +5705,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "b90b6f49-82ca-4f36-924b-28d61a77210f", "metadata": {}, @@ -2785,7 +5714,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 126, "id": "c936ac9a-ef09-4243-bf69-4b9ff73a2efe", "metadata": {}, "outputs": [], @@ -2796,7 +5725,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 127, "id": "a4f231d2-499e-4a77-b635-21e469f1dce6", "metadata": { "scrolled": true @@ -2819,19 +5748,20 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "6190ebbc-daba-4a58-8b0e-224f230c877d", "metadata": {}, "source": [ "### Training and evaluating a simple model\n", "\n", - "Now that we have pre-processed data, we can train a model. We will train a collection of Gradient Boosted Trees using TensorFlow Decision Forests.\n" + "Now that we have pre-processed data, we can train a model. We will train a collection of Gradient Boosted Trees using YDF: We train one model for each horizon.\n", + "\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 128, "id": "18d6d3b1-32d0-4d4c-b829-814277353ad2", "metadata": {}, "outputs": [ @@ -2840,34 +5770,21 @@ "output_type": "stream", "text": [ "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.1.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Note: you may need to restart the kernel to use updated packages.\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2023-08-22 17:19:07.938517: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", - "2023-08-22 17:19:07.941786: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2023-08-22 17:19:08.021257: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2023-08-22 17:19:08.022287: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", - "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "2023-08-22 17:19:09.593394: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" - ] } ], "source": [ - "%pip install tensorflow tensorflow_decision_forests -q\n", + "%pip install ydf -q\n", "\n", - "import tensorflow as tf\n", - "import tensorflow_decision_forests as tfdf" + "import ydf" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 129, "id": "f6666033-3849-4418-bfc8-5a791221e5d1", "metadata": {}, "outputs": [ @@ -2896,33 +5813,14 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "de1f639f-c66e-439e-a5c9-871178f50720", "metadata": {}, "source": [ - "The Pandas DataFrame can be converted into a TensorFlow dataset.\n" + "YDF consumes natively Pandas Dataframes." ] }, { - "cell_type": "code", - "execution_count": 49, - "id": "6a46a286-1825-49ec-a147-f539987da590", - "metadata": {}, - "outputs": [], - "source": [ - "def dataset_pandas_to_tensorflow_dataset(df):\n", - " features = {k: df[k] for k in feature_names}\n", - " labels = {k: df[k] for k in label_names}\n", - " return tf.data.Dataset.from_tensor_slices((features, labels)).batch(100)\n", - "\n", - "\n", - "tf_test_dataset = dataset_pandas_to_tensorflow_dataset(test_dataset)\n", - "tf_train_dataset = dataset_pandas_to_tensorflow_dataset(train_dataset)" - ] - }, - { - "attachments": {}, "cell_type": "markdown", "id": "328a6972-fd28-4c8d-b81b-d78481c29c67", "metadata": {}, @@ -2932,1118 +5830,68 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 130, "id": "4a7580bf-bd81-4806-9dde-1465b0a6fb00", "metadata": { - "scrolled": true + "scrolled": true, + "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Use /tmp/tmpfn9n19rs as temporary training directory\n", - "Reading training dataset...\n", - "Training tensor examples:\n", - "Features: {'f_sales': , 'f_sales_lag_1_d': , 'f_sales_lag_2_d': , 'f_sales_lag_3_d': , 'f_sales_lag_7_d': , 'f_sales_lag_14_d': , 'f_sma_7_sales': , 'f_sd_7_sales': , 'f_sum_7_sales': , 'f_sma_14_sales': , 'f_sd_14_sales': , 'f_sum_14_sales': , 'f_sma_28_sales': , 'f_sd_28_sales': , 'f_sum_28_sales': , 'f_sma_84_sales': , 'f_sd_84_sales': , 'f_sum_84_sales': , 'f_calendar_day_of_month': , 'f_calendar_day_of_week': , 'f_calendar_month': , 'f_sum28_per_dep_sales': , 'f_event_name_1': , 'f_event_type_1': , 'f_event_name_2': , 'f_event_type_2': , 'f_snap_CA': , 'f_snap_TX': , 'f_snap_WI': , 'f_leak5_event_name_1': , 'f_leak5_event_type_1': , 'f_leak5_event_name_2': , 'f_leak5_event_type_2': , 'f_leak5_snap_CA': , 'f_leak5_snap_TX': , 'f_leak5_snap_WI': , 'dept_id': , 'cat_id': , 'store_id': , 'state_id': }\n", - "Label: {'label_horizon_1_days': , 'label_horizon_2_days': , 'label_horizon_3_days': , 'label_horizon_4_days': , 'label_horizon_5_days': , 'label_horizon_6_days': , 'label_horizon_7_days': , 'label_horizon_8_days': , 'label_horizon_9_days': , 'label_horizon_10_days': , 'label_horizon_11_days': , 'label_horizon_12_days': , 'label_horizon_13_days': , 'label_horizon_14_days': , 'label_horizon_15_days': , 'label_horizon_16_days': , 'label_horizon_17_days': , 'label_horizon_18_days': , 'label_horizon_19_days': , 'label_horizon_20_days': , 'label_horizon_21_days': , 'label_horizon_22_days': , 'label_horizon_23_days': , 'label_horizon_24_days': , 'label_horizon_25_days': , 'label_horizon_26_days': , 'label_horizon_27_days': }\n", - "Weights: None\n", - "Normalized tensor features:\n", - " {'f_sales': SemanticTensor(semantic=, tensor=), 'f_sales_lag_1_d': SemanticTensor(semantic=, tensor=), 'f_sales_lag_2_d': SemanticTensor(semantic=, tensor=), 'f_sales_lag_3_d': SemanticTensor(semantic=, tensor=), 'f_sales_lag_7_d': SemanticTensor(semantic=, tensor=), 'f_sales_lag_14_d': SemanticTensor(semantic=, tensor=), 'f_sma_7_sales': SemanticTensor(semantic=, tensor=), 'f_sd_7_sales': SemanticTensor(semantic=, tensor=), 'f_sum_7_sales': SemanticTensor(semantic=, tensor=), 'f_sma_14_sales': SemanticTensor(semantic=, tensor=), 'f_sd_14_sales': SemanticTensor(semantic=, tensor=), 'f_sum_14_sales': SemanticTensor(semantic=, tensor=), 'f_sma_28_sales': SemanticTensor(semantic=, tensor=), 'f_sd_28_sales': SemanticTensor(semantic=, tensor=), 'f_sum_28_sales': SemanticTensor(semantic=, tensor=), 'f_sma_84_sales': SemanticTensor(semantic=, tensor=), 'f_sd_84_sales': SemanticTensor(semantic=, tensor=), 'f_sum_84_sales': SemanticTensor(semantic=, tensor=), 'f_calendar_day_of_month': SemanticTensor(semantic=, tensor=), 'f_calendar_day_of_week': SemanticTensor(semantic=, tensor=), 'f_calendar_month': SemanticTensor(semantic=, tensor=), 'f_sum28_per_dep_sales': SemanticTensor(semantic=, tensor=), 'f_event_name_1': SemanticTensor(semantic=, tensor=), 'f_event_type_1': SemanticTensor(semantic=, tensor=), 'f_event_name_2': SemanticTensor(semantic=, tensor=), 'f_event_type_2': SemanticTensor(semantic=, tensor=), 'f_snap_CA': SemanticTensor(semantic=, tensor=), 'f_snap_TX': SemanticTensor(semantic=, tensor=), 'f_snap_WI': SemanticTensor(semantic=, tensor=), 'f_leak5_event_name_1': SemanticTensor(semantic=, tensor=), 'f_leak5_event_type_1': SemanticTensor(semantic=, tensor=), 'f_leak5_event_name_2': SemanticTensor(semantic=, tensor=), 'f_leak5_event_type_2': SemanticTensor(semantic=, tensor=), 'f_leak5_snap_CA': SemanticTensor(semantic=, tensor=), 'f_leak5_snap_TX': SemanticTensor(semantic=, tensor=), 'f_leak5_snap_WI': SemanticTensor(semantic=, tensor=), 'dept_id': SemanticTensor(semantic=, tensor=), 'cat_id': SemanticTensor(semantic=, tensor=), 'store_id': SemanticTensor(semantic=, tensor=), 'state_id': SemanticTensor(semantic=, tensor=)}\n", - "Training dataset read in 0:00:15.636382. Found 150720 examples.\n", - "Training model...\n", - "Standard output detected as not visible to the user e.g. running in a notebook. Creating a training log redirection. If training gets stuck, try calling tfdf.keras.set_training_logs_redirection(False).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO 23-08-22 17:19:27.7980 CEST kernel.cc:773] Start Yggdrasil model training\n", - "[INFO 23-08-22 17:19:27.7980 CEST kernel.cc:774] Collect training examples\n", - "[INFO 23-08-22 17:19:27.7981 CEST kernel.cc:787] Dataspec guide:\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_1_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_2_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_3_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_4_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_5_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_6_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_7_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_8_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_9_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_10_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_11_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_12_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_13_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_14_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_15_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_16_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_17_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_18_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_19_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_20_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_21_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_22_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_23_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_24_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_25_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_26_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "column_guides {\n", - " column_name_pattern: \"^label_horizon_27_days$\"\n", - " type: NUMERICAL\n", - "}\n", - "default_column_guide {\n", - " categorial {\n", - " max_vocab_count: 2000\n", - " }\n", - " discretized_numerical {\n", - " maximum_num_bins: 255\n", - " }\n", - "}\n", - "ignore_columns_without_guides: false\n", - "detect_numerical_as_discretized_numerical: false\n", - "\n", - "[INFO 23-08-22 17:19:27.8163 CEST kernel.cc:393] Number of batches: 1508\n", - "[INFO 23-08-22 17:19:27.8163 CEST kernel.cc:394] Number of examples: 150720\n", - "[INFO 23-08-22 17:19:28.0986 CEST kernel.cc:794] Training dataset:\n", - "Number of records: 150720\n", - "Number of columns: 67\n", - "\n", - "Number of columns by type:\n", - "\tNUMERICAL: 55 (82.0896%)\n", - "\tCATEGORICAL: 12 (17.9104%)\n", - "\n", - "Columns:\n", - "\n", - "NUMERICAL: 55 (82.0896%)\n", - "\t2: \"f_calendar_day_of_month\" NUMERICAL mean:15.7107 min:1 max:31 sd:8.79464\n", - "\t3: \"f_calendar_day_of_week\" NUMERICAL mean:3.00159 min:0 max:6 sd:2.00066\n", - "\t4: \"f_calendar_month\" NUMERICAL mean:6.42622 min:1 max:12 sd:3.44017\n", - "\t13: \"f_leak5_snap_CA\" NUMERICAL mean:0.327495 min:0 max:1 sd:0.469299\n", - "\t14: \"f_leak5_snap_TX\" NUMERICAL mean:0.328025 min:0 max:1 sd:0.469494\n", - "\t15: \"f_leak5_snap_WI\" NUMERICAL mean:0.328025 min:0 max:1 sd:0.469494\n", - "\t16: \"f_sales\" NUMERICAL mean:29.5872 min:0 max:763 sd:31.5277\n", - "\t17: \"f_sales_lag_14_d\" NUMERICAL mean:29.5573 min:0 max:763 sd:31.5369\n", - "\t18: \"f_sales_lag_1_d\" NUMERICAL mean:29.5861 min:0 max:763 sd:31.5303\n", - "\t19: \"f_sales_lag_2_d\" NUMERICAL mean:29.5797 min:0 max:763 sd:31.5265\n", - "\t20: \"f_sales_lag_3_d\" NUMERICAL mean:29.5746 min:0 max:763 sd:31.5255\n", - "\t21: \"f_sales_lag_7_d\" NUMERICAL mean:29.5707 min:0 max:763 sd:31.5324\n", - "\t22: \"f_sd_14_sales\" NUMERICAL mean:10.0323 min:0 max:203.329 sd:10.8368\n", - "\t23: \"f_sd_28_sales\" NUMERICAL mean:10.8908 min:0 max:192.891 sd:11.4905\n", - "\t24: \"f_sd_7_sales\" NUMERICAL mean:9.12405 min:0 max:235.264 sd:10.209\n", - "\t25: \"f_sd_84_sales\" NUMERICAL mean:12.2336 min:0 max:173.639 sd:12.8959\n", - "\t26: \"f_sma_14_sales\" NUMERICAL mean:29.5678 min:0 max:468.643 sd:27.8563\n", - "\t27: \"f_sma_28_sales\" NUMERICAL mean:29.5606 min:0 max:442.75 sd:27.2844\n", - "\t28: \"f_sma_7_sales\" NUMERICAL mean:29.5773 min:0 max:602.857 sd:28.3994\n", - "\t29: \"f_sma_84_sales\" NUMERICAL mean:29.5427 min:0 max:279.786 sd:26.147\n", - "\t30: \"f_snap_CA\" NUMERICAL mean:0.329087 min:0 max:1 sd:0.469882\n", - "\t31: \"f_snap_TX\" NUMERICAL mean:0.329087 min:0 max:1 sd:0.469882\n", - "\t32: \"f_snap_WI\" NUMERICAL mean:0.329087 min:0 max:1 sd:0.469882\n", - "\t33: \"f_sum28_per_dep_sales\" NUMERICAL mean:6621.58 min:1333 max:19255 sd:2895.7\n", - "\t34: \"f_sum_14_sales\" NUMERICAL mean:413.949 min:0 max:6561 sd:389.988\n", - "\t35: \"f_sum_28_sales\" NUMERICAL mean:827.698 min:0 max:12397 sd:763.964\n", - "\t36: \"f_sum_7_sales\" NUMERICAL mean:207.041 min:0 max:4220 sd:198.796\n", - "\t37: \"f_sum_84_sales\" NUMERICAL mean:2460.49 min:0 max:23502 sd:2194.56\n", - "\t38: \"label_horizon_10_days\" NUMERICAL mean:29.6007 min:0 max:763 sd:31.5209\n", - "\t39: \"label_horizon_11_days\" NUMERICAL mean:29.6038 min:0 max:763 sd:31.5202\n", - "\t40: \"label_horizon_12_days\" NUMERICAL mean:29.6097 min:0 max:763 sd:31.5218\n", - "\t41: \"label_horizon_13_days\" NUMERICAL mean:29.6176 min:0 max:763 sd:31.5275\n", - "\t42: \"label_horizon_14_days\" NUMERICAL mean:29.6194 min:0 max:763 sd:31.5271\n", - "\t43: \"label_horizon_15_days\" NUMERICAL mean:29.6189 min:0 max:763 sd:31.5249\n", - "\t44: \"label_horizon_16_days\" NUMERICAL mean:29.6204 min:0 max:763 sd:31.5241\n", - "\t45: \"label_horizon_17_days\" NUMERICAL mean:29.6229 min:0 max:763 sd:31.5229\n", - "\t46: \"label_horizon_18_days\" NUMERICAL mean:29.6257 min:0 max:763 sd:31.5219\n", - "\t47: \"label_horizon_19_days\" NUMERICAL mean:29.6304 min:0 max:763 sd:31.523\n", - "\t48: \"label_horizon_1_days\" NUMERICAL mean:29.5853 min:0 max:763 sd:31.5245\n", - "\t49: \"label_horizon_20_days\" NUMERICAL mean:29.6377 min:0 max:763 sd:31.5259\n", - "\t50: \"label_horizon_21_days\" NUMERICAL mean:29.6423 min:0 max:763 sd:31.5277\n", - "\t51: \"label_horizon_22_days\" NUMERICAL mean:29.6404 min:0 max:763 sd:31.5232\n", - "\t52: \"label_horizon_23_days\" NUMERICAL mean:29.6433 min:0 max:763 sd:31.5218\n", - "\t53: \"label_horizon_24_days\" NUMERICAL mean:29.6473 min:0 max:763 sd:31.5202\n", - "\t54: \"label_horizon_25_days\" NUMERICAL mean:29.6505 min:0 max:763 sd:31.518\n", - "\t55: \"label_horizon_26_days\" NUMERICAL mean:29.6582 min:0 max:763 sd:31.5185\n", - "\t56: \"label_horizon_27_days\" NUMERICAL mean:29.6661 min:0 max:763 sd:31.5204\n", - "\t57: \"label_horizon_2_days\" NUMERICAL mean:29.5869 min:0 max:763 sd:31.5242\n", - "\t58: \"label_horizon_3_days\" NUMERICAL mean:29.5863 min:0 max:763 sd:31.5234\n", - "\t59: \"label_horizon_4_days\" NUMERICAL mean:29.5873 min:0 max:763 sd:31.5224\n", - "\t60: \"label_horizon_5_days\" NUMERICAL mean:29.5916 min:0 max:763 sd:31.525\n", - "\t61: \"label_horizon_6_days\" NUMERICAL mean:29.5976 min:0 max:763 sd:31.5282\n", - "\t62: \"label_horizon_7_days\" NUMERICAL mean:29.5993 min:0 max:763 sd:31.5276\n", - "\t63: \"label_horizon_8_days\" NUMERICAL mean:29.5965 min:0 max:763 sd:31.5239\n", - "\t64: \"label_horizon_9_days\" NUMERICAL mean:29.5992 min:0 max:763 sd:31.5224\n", - "\n", - "CATEGORICAL: 12 (17.9104%)\n", - "\t0: \"cat_id\" CATEGORICAL has-dict vocab-size:2 zero-ood-items most-frequent:\"FOODS\" 150720 (100%)\n", - "\t1: \"dept_id\" CATEGORICAL has-dict vocab-size:2 zero-ood-items most-frequent:\"FOODS_3\" 150720 (100%)\n", - "\t5: \"f_event_name_1\" CATEGORICAL has-dict vocab-size:32 zero-ood-items most-frequent:\"no_event\" 138640 (91.9851%)\n", - "\t6: \"f_event_name_2\" CATEGORICAL has-dict vocab-size:6 zero-ood-items most-frequent:\"no_event\" 150400 (99.7877%)\n", - "\t7: \"f_event_type_1\" CATEGORICAL has-dict vocab-size:6 zero-ood-items most-frequent:\"no_event\" 138640 (91.9851%)\n", - "\t8: \"f_event_type_2\" CATEGORICAL has-dict vocab-size:4 zero-ood-items most-frequent:\"no_event\" 150400 (99.7877%)\n", - "\t9: \"f_leak5_event_name_1\" CATEGORICAL has-dict vocab-size:32 zero-ood-items most-frequent:\"no_event\" 138640 (91.9851%)\n", - "\t10: \"f_leak5_event_name_2\" CATEGORICAL has-dict vocab-size:6 zero-ood-items most-frequent:\"no_event\" 150400 (99.7877%)\n", - "\t11: \"f_leak5_event_type_1\" CATEGORICAL has-dict vocab-size:6 zero-ood-items most-frequent:\"no_event\" 138640 (91.9851%)\n", - "\t12: \"f_leak5_event_type_2\" CATEGORICAL has-dict vocab-size:4 zero-ood-items most-frequent:\"no_event\" 150400 (99.7877%)\n", - "\t65: \"state_id\" CATEGORICAL has-dict vocab-size:4 zero-ood-items most-frequent:\"CA\" 60288 (40%)\n", - "\t66: \"store_id\" CATEGORICAL has-dict vocab-size:11 zero-ood-items most-frequent:\"CA_1\" 15072 (10%)\n", - "\n", - "Terminology:\n", - "\tnas: Number of non-available (i.e. missing) values.\n", - "\tood: Out of dictionary.\n", - "\tmanually-defined: Attribute which type is manually defined by the user i.e. the type was not automatically inferred.\n", - "\ttokenized: The attribute value is obtained through tokenization.\n", - "\thas-dict: The attribute is attached to a string dictionary e.g. a categorical attribute stored as a string.\n", - "\tvocab-size: Number of unique values.\n", - "\n", - "[INFO 23-08-22 17:19:28.1055 CEST kernel.cc:810] Configure learner\n", - "[INFO 23-08-22 17:19:28.1057 CEST kernel.cc:824] Training config:\n", - "learner: \"MULTITASKER\"\n", - "features: \"^cat_id$\"\n", - "features: \"^dept_id$\"\n", - "features: \"^f_calendar_day_of_month$\"\n", - "features: \"^f_calendar_day_of_week$\"\n", - "features: \"^f_calendar_month$\"\n", - "features: \"^f_event_name_1$\"\n", - "features: \"^f_event_name_2$\"\n", - "features: \"^f_event_type_1$\"\n", - "features: \"^f_event_type_2$\"\n", - "features: \"^f_leak5_event_name_1$\"\n", - "features: \"^f_leak5_event_name_2$\"\n", - "features: \"^f_leak5_event_type_1$\"\n", - "features: \"^f_leak5_event_type_2$\"\n", - "features: \"^f_leak5_snap_CA$\"\n", - "features: \"^f_leak5_snap_TX$\"\n", - "features: \"^f_leak5_snap_WI$\"\n", - "features: \"^f_sales$\"\n", - "features: \"^f_sales_lag_14_d$\"\n", - "features: \"^f_sales_lag_1_d$\"\n", - "features: \"^f_sales_lag_2_d$\"\n", - "features: \"^f_sales_lag_3_d$\"\n", - "features: \"^f_sales_lag_7_d$\"\n", - "features: \"^f_sd_14_sales$\"\n", - "features: \"^f_sd_28_sales$\"\n", - "features: \"^f_sd_7_sales$\"\n", - "features: \"^f_sd_84_sales$\"\n", - "features: \"^f_sma_14_sales$\"\n", - "features: \"^f_sma_28_sales$\"\n", - "features: \"^f_sma_7_sales$\"\n", - "features: \"^f_sma_84_sales$\"\n", - "features: \"^f_snap_CA$\"\n", - "features: \"^f_snap_TX$\"\n", - "features: \"^f_snap_WI$\"\n", - "features: \"^f_sum28_per_dep_sales$\"\n", - "features: \"^f_sum_14_sales$\"\n", - "features: \"^f_sum_28_sales$\"\n", - "features: \"^f_sum_7_sales$\"\n", - "features: \"^f_sum_84_sales$\"\n", - "features: \"^state_id$\"\n", - "features: \"^store_id$\"\n", - "label: \"^label_horizon_1_days$\"\n", - "task: REGRESSION\n", - "metadata {\n", - " framework: \"TF Keras\"\n", - "}\n", - "[yggdrasil_decision_forests.model.multitasker.proto.multitasker_config] {\n", - " base_learner {\n", - " learner: \"GRADIENT_BOOSTED_TREES\"\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_1_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_2_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_3_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_4_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_5_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_6_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_7_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_8_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_9_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_10_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_11_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_12_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_13_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_14_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_15_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_16_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_17_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_18_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_19_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_20_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_21_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_22_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_23_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_24_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_25_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_26_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - " subtasks {\n", - " primary: true\n", - " train_config {\n", - " label: \"^label_horizon_27_days$\"\n", - " task: REGRESSION\n", - " }\n", - " }\n", - "}\n", - "\n", - "[INFO 23-08-22 17:19:28.1066 CEST kernel.cc:827] Deployment config:\n", - "cache_path: \"/tmp/tmpfn9n19rs/working_cache\"\n", - "num_threads: 8\n", - "try_resume_training: true\n", - "\n", - "[INFO 23-08-22 17:19:28.1118 CEST kernel.cc:889] Train model\n", - "[INFO 23-08-22 17:19:28.1495 CEST multitasker.cc:286] Train multitasker primary tasks with 27 model(s)\n", - "[WARNING[ 23-08-22 17:19:28.1574 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING[[WARNING[WARNINGWARNINGWARNING 23-08-22 17:19:28.1575 CEST gradient_boosted_trees.cc: 23-08-22 17:19:28.1575 CEST gradient_boosted_trees.cc:1818 23-08-22 17:19:28.1575 CEST gradient_boosted_trees.cc] 1818\"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "] 23-08-22 17:19:28.1575 CEST gradient_boosted_trees.cc:[WARNING 23-08-22 17:19:28.1576 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1576 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - " 23-08-22 17:19:28.1574 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1577 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[WARNING 23-08-22 17:19:28.1580 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1581 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1581 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "\"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1581 CEST gradient_boosted_trees.cc:1829] [WARNING 23-08-22 17:19:28.1582 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1582 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1582 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[WARNING 23-08-22 17:19:28.1584 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1584 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1584 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "\"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1598 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1600 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1600 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - ":1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1602 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:19:28.1602 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:19:32.0507 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.0614 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.1276 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.1455 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.4159 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.4160 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.5365 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.5365 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.6083 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.6084 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.8171 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:32.8182 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.8183 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:32.9276 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:32.9277 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:33.1349 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:19:33.1350 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:19:33.1581 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:34.0283 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:34.1116 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:34.3145 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:34.8990 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:35.1325 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.267696 train-rmse:29.267696 valid-loss:29.130789 valid-rmse:29.130789\n", - "[INFO 23-08-22 17:19:35.1814 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:35.3696 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:19:35.9690 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.335985 train-rmse:29.335985 valid-loss:29.099661 valid-rmse:29.099661\n", - "[INFO 23-08-22 17:19:37.9991 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.214186 train-rmse:29.214186 valid-loss:29.899080 valid-rmse:29.899080\n", - "[INFO 23-08-22 17:19:38.5385 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.303213 train-rmse:29.303213 valid-loss:29.393198 valid-rmse:29.393198\n", - "[INFO 23-08-22 17:19:38.5435 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.399338 train-rmse:29.399338 valid-loss:29.028122 valid-rmse:29.028122\n", - "[INFO 23-08-22 17:19:38.6758 CEST gradient_boosted_trees.cc:1544] \tnum-trees:2 train-loss:27.390989 train-rmse:27.390989 valid-loss:27.127483 valid-rmse:27.127483\n", - "[INFO 23-08-22 17:19:38.9145 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.124109 train-rmse:29.124109 valid-loss:29.133936 valid-rmse:29.133936\n", - "[INFO 23-08-22 17:19:39.5908 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.295769 train-rmse:29.295769 valid-loss:28.769020 valid-rmse:28.769020\n", - "[INFO 23-08-22 17:19:39.7044 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.323404 train-rmse:29.323404 valid-loss:28.357626 valid-rmse:28.357626\n", - "[INFO 23-08-22 17:20:09.1838 CEST gradient_boosted_trees.cc:1544] \tnum-trees:15 train-loss:16.286356 train-rmse:16.286356 valid-loss:17.388578 valid-rmse:17.388578\n", - "[INFO 23-08-22 17:20:39.5899 CEST gradient_boosted_trees.cc:1544] \tnum-trees:26 train-loss:15.550566 train-rmse:15.550566 valid-loss:15.613172 valid-rmse:15.613172\n", - "[INFO 23-08-22 17:21:09.7584 CEST gradient_boosted_trees.cc:1544] \tnum-trees:36 train-loss:12.604913 train-rmse:12.604913 valid-loss:12.728271 valid-rmse:12.728271\n", - "[INFO 23-08-22 17:21:29.1166 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:13.866138 train-rmse:13.866138 valid-loss:15.359539 valid-rmse:15.359539\n", - "[INFO 23-08-22 17:21:29.1166 CEST gradient_boosted_trees.cc:247] Truncates the model to 48 tree(s) i.e. 48 iteration(s).\n", - "[INFO 23-08-22 17:21:29.1167 CEST gradient_boosted_trees.cc:310] Final model num-trees:48 valid-loss:15.355445 valid-rmse:15.355445\n", - "[WARNING 23-08-22 17:21:29.1246 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:29.1246 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:29.1246 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:30.4713 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:30.4714 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:30.6207 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:30.8606 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:13.575471 train-rmse:13.575471 valid-loss:15.029240 valid-rmse:15.029240\n", - "[INFO 23-08-22 17:21:30.8838 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:21:30.8877 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.029240 valid-rmse:15.029240\n", - "[WARNING 23-08-22 17:21:30.9208 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:30.9309 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:30.9312 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:31.0555 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:13.423209 train-rmse:13.423209 valid-loss:13.453820 valid-rmse:13.453820\n", - "[INFO 23-08-22 17:21:31.0684 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:21:31.0688 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:13.453820 valid-rmse:13.453820\n", - "[WARNING 23-08-22 17:21:31.0988 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.0991 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.0993 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:31.5115 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.071945 train-rmse:14.071945 valid-loss:14.601532 valid-rmse:14.601532\n", - "[INFO 23-08-22 17:21:31.5116 CEST gradient_boosted_trees.cc:247] Truncates the model to 47 tree(s) i.e. 47 iteration(s).\n", - "[INFO 23-08-22 17:21:31.5116 CEST gradient_boosted_trees.cc:310] Final model num-trees:47 valid-loss:14.593384 valid-rmse:14.593384\n", - "[WARNING 23-08-22 17:21:31.5663 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.5663 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.5663 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:31.7412 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:13.070064 train-rmse:13.070064 valid-loss:13.403740 valid-rmse:13.403740\n", - "[INFO 23-08-22 17:21:31.7490 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:21:31.7490 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:13.403740 valid-rmse:13.403740\n", - "[WARNING 23-08-22 17:21:31.8163 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.8618 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:31.8654 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:32.1903 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.487211 train-rmse:29.487211 valid-loss:28.607134 valid-rmse:28.607134\n", - "[INFO 23-08-22 17:21:33.1783 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:33.1786 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:33.3258 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:33.4076 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:12.181689 train-rmse:12.181689 valid-loss:12.686768 valid-rmse:12.686768\n", - "[INFO 23-08-22 17:21:33.4866 CEST gradient_boosted_trees.cc:247] Truncates the model to 41 tree(s) i.e. 41 iteration(s).\n", - "[INFO 23-08-22 17:21:33.4872 CEST gradient_boosted_trees.cc:310] Final model num-trees:41 valid-loss:12.684937 valid-rmse:12.684937\n", - "[WARNING 23-08-22 17:21:33.5223 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:33.5226 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:33.5228 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:34.5676 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:34.5677 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:34.7348 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:34.8318 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.497025 train-rmse:29.497025 valid-loss:28.542063 valid-rmse:28.542063\n", - "[INFO 23-08-22 17:21:35.1272 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:35.1273 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:35.2377 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:35.8849 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:35.9068 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:36.0690 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:36.0691 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:36.1502 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:36.6343 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:36.8570 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.453743 train-rmse:29.453743 valid-loss:29.037130 valid-rmse:29.037130\n", - "[INFO 23-08-22 17:21:37.0224 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:13.252879 train-rmse:13.252879 valid-loss:13.566219 valid-rmse:13.566219\n", - "[INFO 23-08-22 17:21:37.0225 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:21:37.0225 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:13.566219 valid-rmse:13.566219\n", - "[WARNING 23-08-22 17:21:37.0245 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:37.0245 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:37.0245 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:37.1079 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.470354 train-rmse:29.470354 valid-loss:28.912182 valid-rmse:28.912182\n", - "[INFO 23-08-22 17:21:37.2099 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.514459 train-rmse:14.514459 valid-loss:14.994228 valid-rmse:14.994228\n", - "[INFO 23-08-22 17:21:37.2436 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:21:37.2473 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:14.994228 valid-rmse:14.994228\n", - "[WARNING 23-08-22 17:21:37.3063 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:37.3167 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:21:37.3167 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:21:37.8581 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.474899 train-rmse:29.474899 valid-loss:28.634254 valid-rmse:28.634254\n", - "[INFO 23-08-22 17:21:38.7341 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.421598 train-rmse:29.421598 valid-loss:29.626032 valid-rmse:29.626032\n", - "[INFO 23-08-22 17:21:39.3875 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:39.3893 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:39.5529 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:39.8978 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:21:39.8978 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:21:40.0404 CEST gradient_boosted_trees.cc:1544] \tnum-trees:6 train-loss:22.339996 train-rmse:22.339996 valid-loss:21.602955 valid-rmse:21.602955\n", - "[INFO 23-08-22 17:21:40.3224 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:21:41.1769 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.545298 train-rmse:29.545298 valid-loss:29.298836 valid-rmse:29.298836\n", - "[INFO 23-08-22 17:21:43.4812 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.541935 train-rmse:29.541935 valid-loss:28.897583 valid-rmse:28.897583\n", - "[INFO 23-08-22 17:22:10.7016 CEST gradient_boosted_trees.cc:1544] \tnum-trees:13 train-loss:18.213362 train-rmse:18.213362 valid-loss:18.072496 valid-rmse:18.072496\n", - "[INFO 23-08-22 17:22:41.1286 CEST gradient_boosted_trees.cc:1544] \tnum-trees:23 train-loss:16.149427 train-rmse:16.149427 valid-loss:16.552889 valid-rmse:16.552889\n", - "[INFO 23-08-22 17:23:11.2261 CEST gradient_boosted_trees.cc:1544] \tnum-trees:41 train-loss:15.091777 train-rmse:15.091777 valid-loss:15.722352 valid-rmse:15.722352\n", - "[INFO 23-08-22 17:23:37.3905 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.713874 train-rmse:14.713874 valid-loss:15.431265 valid-rmse:15.431265\n", - "[INFO 23-08-22 17:23:37.4181 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:37.4187 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.431265 valid-rmse:15.431265\n", - "[WARNING 23-08-22 17:23:37.5522 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:37.5523 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:37.5524 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:41.2318 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.750937 train-rmse:14.750937 valid-loss:15.528153 valid-rmse:15.528153\n", - "[INFO 23-08-22 17:23:41.2319 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:41.2319 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.528153 valid-rmse:15.528153\n", - "[WARNING 23-08-22 17:23:41.2358 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:41.2358 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:41.2358 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:41.6881 CEST gradient_boosted_trees.cc:1544] \tnum-trees:46 train-loss:15.416377 train-rmse:15.416377 valid-loss:15.507325 valid-rmse:15.507325\n", - "[INFO 23-08-22 17:23:41.9143 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.019258 train-rmse:15.019258 valid-loss:15.995070 valid-rmse:15.995070\n", - "[INFO 23-08-22 17:23:41.9144 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:41.9144 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.995070 valid-rmse:15.995070\n", - "[WARNING 23-08-22 17:23:41.9572 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:41.9962 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:41.9966 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:42.3678 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.769040 train-rmse:14.769040 valid-loss:15.246088 valid-rmse:15.246088\n", - "[INFO 23-08-22 17:23:42.3678 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:42.3679 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.246088 valid-rmse:15.246088\n", - "[WARNING 23-08-22 17:23:42.4095 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:42.4095 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:42.4095 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:44.4584 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:44.4585 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:45.0821 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:45.3081 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:45.3082 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:45.5279 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:45.7003 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.393883 train-rmse:15.393883 valid-loss:15.816501 valid-rmse:15.816501\n", - "[INFO 23-08-22 17:23:45.7003 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:45.7004 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.816501 valid-rmse:15.816501\n", - "[WARNING 23-08-22 17:23:45.7447 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:45.7448 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:45.7448 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:47.3018 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.870501 train-rmse:14.870501 valid-loss:15.861364 valid-rmse:15.861364\n", - "[INFO 23-08-22 17:23:47.3018 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:47.3019 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.861364 valid-rmse:15.861364\n", - "[WARNING 23-08-22 17:23:47.4206 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:47.4727 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:47.4728 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:47.6738 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:47.6739 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:47.9977 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:48.3165 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.561636 train-rmse:29.561636 valid-loss:28.802879 valid-rmse:28.802879\n", - "[INFO 23-08-22 17:23:48.4621 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.545330 train-rmse:29.545330 valid-loss:28.827353 valid-rmse:28.827353\n", - "[INFO 23-08-22 17:23:50.4980 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:50.5432 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:50.5479 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:50.5480 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:50.6301 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:14.620991 train-rmse:14.620991 valid-loss:15.723470 valid-rmse:15.723470\n", - "[INFO 23-08-22 17:23:50.6547 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:50.6548 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.723470 valid-rmse:15.723470\n", - "[WARNING 23-08-22 17:23:50.6926 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:50.6927 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:50.6927 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:51.0291 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:51.1478 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.277184 train-rmse:15.277184 valid-loss:15.470344 valid-rmse:15.470344\n", - "[INFO 23-08-22 17:23:51.1479 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:23:51.1479 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:15.470344 valid-rmse:15.470344\n", - "[WARNING 23-08-22 17:23:51.1515 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:51.1515 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:23:51.1516 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:23:51.4062 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:51.4393 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.519100 train-rmse:29.519100 valid-loss:28.915615 valid-rmse:28.915615\n", - "[INFO 23-08-22 17:23:51.4788 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:51.4788 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:51.6864 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:53.6416 CEST [INFO 23-08-22 17:23:53.6617 CEST gradient_boosted_trees.cc:gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.555222 train-rmse:29.555222 valid-loss:29.081779 valid-rmse:29.081779\n", - "1542] \tnum-trees:1 train-loss:29.580265 train-rmse:29.580265 valid-loss:28.985928 valid-rmse:28.985928\n", - "[INFO 23-08-22 17:23:53.8442 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:53.8442 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:53.9488 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:53.9779 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.485874 train-rmse:29.485874 valid-loss:29.859213 valid-rmse:29.859213\n", - "[INFO 23-08-22 17:23:54.5426 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:23:54.5427 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:23:54.6690 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:23:55.6092 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.552290 train-rmse:29.552290 valid-loss:29.436209 valid-rmse:29.436209\n", - "[INFO 23-08-22 17:23:57.1400 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.592987 train-rmse:29.592987 valid-loss:29.220953 valid-rmse:29.220953\n", - "[INFO 23-08-22 17:24:11.9398 CEST gradient_boosted_trees.cc:1544] \tnum-trees:12 train-loss:19.211472 train-rmse:19.211472 valid-loss:19.920101 valid-rmse:19.920101\n", - "[INFO 23-08-22 17:24:42.3389 CEST gradient_boosted_trees.cc:1544] \tnum-trees:22 train-loss:16.972153 train-rmse:16.972153 valid-loss:17.439720 valid-rmse:17.439720\n", - "[INFO 23-08-22 17:25:12.4270 CEST gradient_boosted_trees.cc:1544] \tnum-trees:32 train-loss:16.314236 train-rmse:16.314236 valid-loss:16.762869 valid-rmse:16.762869\n", - "[INFO 23-08-22 17:25:42.6012 CEST gradient_boosted_trees.cc:1544] \tnum-trees:48 train-loss:15.584856 train-rmse:15.584856 valid-loss:16.379702 valid-rmse:16.379702\n", - "[INFO 23-08-22 17:25:43.3731 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.488959 train-rmse:15.488959 valid-loss:16.052216 valid-rmse:16.052216\n", - "[INFO 23-08-22 17:25:43.3966 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:43.3967 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.052216 valid-rmse:16.052216\n", - "[WARNING 23-08-22 17:25:43.4003 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:43.4004 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:43.4004 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:25:47.8493 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.795024 train-rmse:15.795024 valid-loss:17.031176 valid-rmse:17.031176\n", - "[INFO 23-08-22 17:25:47.8494 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:47.8495 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:17.031176 valid-rmse:17.031176\n", - "[WARNING 23-08-22 17:25:47.9558 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:47.9558 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:47.9559 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:25:48.0492 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.498506 train-rmse:15.498506 valid-loss:16.925005 valid-rmse:16.925005\n", - "[INFO 23-08-22 17:25:48.0493 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:48.0493 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.925005 valid-rmse:16.925005\n", - "[WARNING 23-08-22 17:25:48.1019 CEST gradient_boosted_trees.cc:1818] \"goss_alpha\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:48.1020 CEST gradient_boosted_trees.cc:1829] \"goss_beta\" set but \"sampling_method\" not equal to \"GOSS\".\n", - "[WARNING 23-08-22 17:25:48.1020 CEST gradient_boosted_trees.cc:1843] \"selective_gradient_boosting_ratio\" set but \"sampling_method\" not equal to \"SELGB\".\n", - "[INFO 23-08-22 17:25:49.0721 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.436479 train-rmse:15.436479 valid-loss:16.489502 valid-rmse:16.489502\n", - "[INFO 23-08-22 17:25:49.0858 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:49.0859 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.489502 valid-rmse:16.489502\n", - "[INFO 23-08-22 17:25:49.3451 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.940226 train-rmse:15.940226 valid-loss:16.628620 valid-rmse:16.628620\n", - "[INFO 23-08-22 17:25:49.3730 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:49.3731 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.628620 valid-rmse:16.628620\n", - "[INFO 23-08-22 17:25:49.5604 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.528732 train-rmse:15.528732 valid-loss:16.360813 valid-rmse:16.360813\n", - "[INFO 23-08-22 17:25:49.5826 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:49.5827 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.360813 valid-rmse:16.360813\n", - "[INFO 23-08-22 17:25:49.7487 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:25:49.7488 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:25:49.8992 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.585465 train-rmse:15.585465 valid-loss:16.446827 valid-rmse:16.446827\n", - "[INFO 23-08-22 17:25:49.9236 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:49.9237 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.446827 valid-rmse:16.446827\n", - "[INFO 23-08-22 17:25:50.0453 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:25:51.9348 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:25:51.9349 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - "[INFO 23-08-22 17:25:52.1247 CEST gradient_boosted_trees.cc[INFO 23-08-22 17:25:52.1449 CEST gradient_boosted_trees.cc:459] Default loss set to SQUARED_ERROR\n", - "[INFO 23-08-22 17:25:52.1450 CEST gradient_boosted_trees.cc:1085] Training gradient boosted tree on 150720 example(s) and 40 feature(s).\n", - ":1542] \tnum-trees:1 train-loss:29.473177 train-rmse:29.473177 valid-loss:30.028440 valid-rmse:30.028440\n", - "[INFO 23-08-22 17:25:52.1676 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:25:52.8560 CEST gradient_boosted_trees.cc:1128] 135737 examples used for training and 14983 examples used for validation\n", - "[INFO 23-08-22 17:25:53.4240 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.958979 train-rmse:15.958979 valid-loss:17.016514 valid-rmse:17.016514\n", - "[INFO 23-08-22 17:25:53.4504 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:25:53.4529 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:17.016514 valid-rmse:17.016514\n", - "[INFO 23-08-22 17:25:54.2969 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.512590 train-rmse:29.512590 valid-loss:29.749025 valid-rmse:29.749025\n", - "[INFO 23-08-22 17:25:55.0639 CEST gradient_boosted_trees.cc:1542] \tnum-trees:1 train-loss:29.433599 train-rmse:29.433599 valid-loss:30.823900 valid-rmse:30.823900\n", - "[INFO 23-08-22 17:26:12.6080 CEST gradient_boosted_trees.cc:1544] \tnum-trees:14 train-loss:18.923498 train-rmse:18.923498 valid-loss:19.393936 valid-rmse:19.393936\n", - "[INFO 23-08-22 17:26:42.7529 CEST gradient_boosted_trees.cc:1544] \tnum-trees:46 train-loss:16.113173 train-rmse:16.113173 valid-loss:17.555851 valid-rmse:17.555851\n", - "[INFO 23-08-22 17:26:45.2334 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.972644 train-rmse:15.972644 valid-loss:17.476349 valid-rmse:17.476349\n", - "[INFO 23-08-22 17:26:45.2351 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:26:45.2352 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:17.476349 valid-rmse:17.476349\n", - "[INFO 23-08-22 17:26:46.1924 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.949216 train-rmse:15.949216 valid-loss:16.998175 valid-rmse:16.998175\n", - "[INFO 23-08-22 17:26:46.1925 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:26:46.1925 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:16.998175 valid-rmse:16.998175\n", - "[INFO 23-08-22 17:26:46.2895 CEST gradient_boosted_trees.cc:1542] \tnum-trees:50 train-loss:15.933821 train-rmse:15.933821 valid-loss:18.116308 valid-rmse:18.116308\n", - "[INFO 23-08-22 17:26:46.2895 CEST gradient_boosted_trees.cc:247] Truncates the model to 50 tree(s) i.e. 50 iteration(s).\n", - "[INFO 23-08-22 17:26:46.2895 CEST gradient_boosted_trees.cc:310] Final model num-trees:50 valid-loss:18.116308 valid-rmse:18.116308\n", - "[INFO 23-08-22 17:26:46.2920 CEST kernel.cc:926] Export model in log directory: /tmp/tmpfn9n19rs with prefix 5b2c1467920142a0\n", - "[INFO 23-08-22 17:26:46.3781 CEST kernel.cc:944] Save model in resources\n", - "[WARNING 23-08-22 17:26:46.3801 CEST abstract_model.cc:1058] Validation evaluation not supported for MULTITASKER\n", - "[INFO 23-08-22 17:26:46.3803 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 12.6849\n", - "\n", - "RMSE: 3.56159\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3808 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 13.4037\n", - "\n", - "RMSE: 3.66111\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3813 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 13.4538\n", - "\n", - "RMSE: 3.66794\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3818 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 13.5662\n", - "\n", - "RMSE: 3.68323\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3823 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.0292\n", - "\n", - "RMSE: 3.87676\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3828 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.3554\n", - "\n", - "RMSE: 3.9186\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3833 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 14.5934\n", - "\n", - "RMSE: 3.82013\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3836 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 14.9942\n", - "\n", - "RMSE: 3.87224\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3841 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.4313\n", - "\n", - "RMSE: 3.92826\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3846 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.5282\n", - "\n", - "RMSE: 3.94058\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3850 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.7235\n", - "\n", - "RMSE: 3.96528\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3854 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.2461\n", - "\n", - "RMSE: 3.90462\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3858 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.8614\n", - "\n", - "RMSE: 3.98263\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3862 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.9951\n", - "\n", - "RMSE: 3.99938\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3865 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.4703\n", - "\n", - "RMSE: 3.93324\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3869 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 15.8165\n", - "\n", - "RMSE: 3.977\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3872 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.0522\n", - "\n", - "RMSE: 4.00652\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3876 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.4895\n", - "\n", - "RMSE: 4.06073\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3881 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.3608\n", - "\n", - "RMSE: 4.04485\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3885 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.925\n", - "\n", - "RMSE: 4.114\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3888 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.4468\n", - "\n", - "RMSE: 4.05547\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3892 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 17.0312\n", - "\n", - "RMSE: 4.12688\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3896 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.6286\n", - "\n", - "RMSE: 4.07782\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3900 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 17.0165\n", - "\n", - "RMSE: 4.12511\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3905 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 17.4763\n", - "\n", - "RMSE: 4.18047\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3909 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 16.9982\n", - "\n", - "RMSE: 4.12288\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.3912 CEST abstract_model.cc:849] Model self evaluation:\n", - "Number of predictions (with weights): 1\n", - "Task: REGRESSION\n", - "Loss (SQUARED_ERROR): 18.1163\n", - "\n", - "RMSE: 4.25633\n", - "Default RMSE: : 0\n", - "\n", - "[INFO 23-08-22 17:26:46.4543 CEST kernel.cc:1243] Loading model from path /tmp/tmpfn9n19rs/model/ with prefix 5b2c1467920142a0_0\n", - "[INFO 23-08-22 17:26:46.4598 CEST abstract_model.cc:1311] Engine \"GradientBoostedTreesQuickScorerExtended\" built\n", - "[INFO 23-08-22 17:26:46.4599 CEST kernel.cc:1075] Use fast generic engine\n", - "[INFO 23-08-22 17:26:46.6703 CEST kernel.cc:1243] Loading model from path /tmp/tmpfn9n19rs/model/ with prefix 5b2c1467920142a0_1\n", - "[INFO 23-08-22 17:26:46.6773 CEST kernel.cc:1075] Use fast generic engine\n", - "[INFO 23-08-22 17:26:46.7141 CEST kernel.cc:1243] Loading model from path /tmp/tmpfn9n19rs/model/ with prefix 5b2c1467920142a0_2\n", - "[INFO 23-08-22 17:26:46.7188 CEST kernel.cc:1075] Use fast generic engine\n", - "[INFO 23-08-22 17:26:46.7456 CEST kernel.cc:1243] Loading model from path /tmp/tmpfn9n19rs/model/ with prefix 5b2c1467920142a0_3\n", - 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"Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n", - "Cause: could not get source code\n", - "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: AutoGraph could not transform and will run it as-is.\n", - "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n", - "Cause: could not get source code\n", - "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n", - "Model compiled.\n" + "Load model for label 'label_horizon_1_days'\n", + "Load model for label 'label_horizon_2_days'\n", + "Load model for label 'label_horizon_3_days'\n", + "Load model for label 'label_horizon_4_days'\n", + "Load model for label 'label_horizon_5_days'\n", + "Load model for label 'label_horizon_6_days'\n", + "Load model for label 'label_horizon_7_days'\n", + "Load model for label 'label_horizon_8_days'\n", + "Load model for label 'label_horizon_9_days'\n", + "Load model for label 'label_horizon_10_days'\n", + "Load model for label 'label_horizon_11_days'\n", + "Load model for label 'label_horizon_12_days'\n", + "Load model for label 'label_horizon_13_days'\n", + "Load model for label 'label_horizon_14_days'\n", + "Load model for label 'label_horizon_15_days'\n", + "Load model for label 'label_horizon_16_days'\n", + "Load model for label 'label_horizon_17_days'\n", + "Load model for label 'label_horizon_18_days'\n", + "Load model for label 'label_horizon_19_days'\n", + "Load model for label 'label_horizon_20_days'\n", + "Load model for label 'label_horizon_21_days'\n", + "Load model for label 'label_horizon_22_days'\n", + "Load model for label 'label_horizon_23_days'\n", + "Load model for label 'label_horizon_24_days'\n", + "Load model for label 'label_horizon_25_days'\n", + "Load model for label 'label_horizon_26_days'\n", + "Load model for label 'label_horizon_27_days'\n" ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "model_path = os.path.join(work_directory, \"cache_model\")\n", - "if os.path.exists(model_path):\n", - " # Load the model if it was already trained.\n", - " # If you change the dataset or the model parameters, change the \"model_path\". \n", - " # Note that loading the model won't display the training logs.\n", - " model = tf.keras.models.load_model(model_path)\n", - "else:\n", - " model = tfdf.keras.GradientBoostedTreesModel(\n", - " multitask=[\n", - " tfdf.keras.MultiTaskItem(x, task=tfdf.keras.Task.REGRESSION)\n", - " for x in label_names\n", - " ],\n", - " num_trees=40, # Increase the number of trees (e.g., 100) for a better model.\n", - " verbose=2, # Remove to make the training less verbose.\n", - " )\n", - " model.fit(tf_train_dataset)" + "models = []\n", + "for label_name in label_names:\n", + " model_path = os.path.join(work_directory, f\"ydf_model_{label_name}\")\n", + " if os.path.exists(model_path):\n", + " print(f\"Load model for label {label_name!r}\")\n", + " models.append(ydf.load_model(model_path))\n", + " else:\n", + " print(f\"Train model for label {label_name!r}\")\n", + " learner = ydf.GradientBoostedTreesLearner(\n", + " task=ydf.Task.REGRESSION,\n", + " label=label_name,\n", + " num_trees=40, # Increase the number of trees (e.g., 100) for a better model.\n", + " features=feature_names,\n", + " )\n", + " model = learner.train(train_dataset)\n", + " model.save(model_path)\n", + " models.append(model)" ] }, { - "attachments": {}, "cell_type": "markdown", "id": "95da6100-af7c-4ad5-85ff-a5f2361d6bca", "metadata": {}, @@ -4053,28 +5901,31 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 131, "id": "e985dba0-dc14-4341-b0c8-ad145fef7ca3", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ - "tf_predictions = model.predict(tf_test_dataset, verbose=0)" + "raw_predictions = [model.predict(test_dataset) for model in models]" ] }, { - "attachments": {}, "cell_type": "markdown", "id": "bf450d44-4fb7-4de5-9611-e3fbe9c6c48a", "metadata": {}, "source": [ - "Let's convert those TensorFlow predictions into a Temporian EventSet. This way we will be able to plot the predictions alongside the real sales.\n" + "Let's convert those YDF predictions (stored as a Numpy array) into a Temporian EventSet. This way we will be able to plot the predictions alongside the real sales.\n" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 132, "id": "068ea997-52ae-40eb-b18e-a118a3d7b026", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ "index_names = tabular_test.schema.index_names()\n", @@ -4089,13 +5940,13 @@ " )\n", "\n", " # For each prediction horizon\n", - " for horizon, predictions in zip(horizons, tf_predictions.values()):\n", + " for horizon, predictions in zip(horizons, raw_predictions):\n", " timestamps.append(original_timestamp + timedelta(days=horizon))\n", "\n", " for k in index_names:\n", " raw_predicted_sales[k].append(test_dataset[k][row_idx])\n", "\n", - " raw_predicted_sales[\"prediction_sales\"].append(predictions[row_idx, 0])\n", + " raw_predicted_sales[\"prediction_sales\"].append(predictions[row_idx])\n", "\n", "# Convert the dictionary of values into an event set.\n", "prediction_evset = tp.event_set(\n", @@ -4104,7 +5955,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "35c68a22-738b-41fd-8493-d1f359724e0a", "metadata": {}, @@ -4128,20 +5978,15 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 133, "id": "978fc1ff-7914-43df-af04-e5b054a9e9f2", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The number of plots (80) is larger than \"options.max_num_plots=6\". Only the first plots will be printed.\n" - ] - }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -4165,11 +6010,10 @@ " max_num_plots=3*2,\n", " width_px=600,\n", " merge=True,\n", - ")\n" + ")" ] }, { - "attachments": {}, "cell_type": "markdown", "id": "f145087c-4629-4639-b7fb-4d19531fbc8e", "metadata": {}, @@ -4196,7 +6040,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.11.7" } }, "nbformat": 4,