04-impute.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "04-`impute`\n====================\n- `impute` or `impute.yai` takes an imputation (object class `yai`) and an optional list of variables and returns a data frame of imputed values for specified variables. \n- Observed values can be requested. \n- In addition, new variables for reference, target, or both observations, are made for these variables using the neighbor relationships found using function `yai`.\n"
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "install.packages(\"yaImpute\")\nlibrary(yaImpute)\nlibrary(magrittr)\nlibrary(dplyr)",
      "execution_count": 12,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "Installing package into '/home/nbcommon/R'\n(as 'lib' is unspecified)\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "data(iris)\n# form some test data\nrefs = sample(rownames(iris),50)\nIDs  = c(refs,setdiff(rownames(iris),refs))\n\nprint(length(refs)) # training set\nprint(length(IDs))  # full set ",
      "execution_count": 13,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "[1] 50\n[1] 150\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "\nx <- iris[,1:3] # Sepal.Length Sepal.Width Petal.Length\ny <- iris[refs,4:5] # Petal.Width Species\n\nprint(head(x,3))\nprint(head(y,3))\n# build a yai object using mahalanobis\n",
      "execution_count": 14,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "  Sepal.Length Sepal.Width Petal.Length\n1          5.1         3.5          1.4\n2          4.9         3.0          1.4\n3          4.7         3.2          1.3\n    Petal.Width    Species\n45          0.4     setosa\n55          1.5 versicolor\n106         2.1  virginica\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "mal <- yai(x=x,y=y,method=\"mahalanobis\")\nhead(mal$yRefs,3)\nhead(mal$xRefs,3)",
      "execution_count": 15,
      "outputs": [
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th></th><th scope=col>Petal.Width</th><th scope=col>Species</th></tr></thead>\n<tbody>\n\t<tr><th scope=row>45</th><td>0.4       </td><td>setosa    </td></tr>\n\t<tr><th scope=row>55</th><td>1.5       </td><td>versicolor</td></tr>\n\t<tr><th scope=row>106</th><td>2.1       </td><td>virginica </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|ll}\n  & Petal.Width & Species\\\\\n\\hline\n\t45 & 0.4        & setosa    \\\\\n\t55 & 1.5        & versicolor\\\\\n\t106 & 2.1        & virginica \\\\\n\\end{tabular}\n",
            "text/markdown": "\n| <!--/--> | Petal.Width | Species | \n|---|---|---|\n| 45 | 0.4        | setosa     | \n| 55 | 1.5        | versicolor | \n| 106 | 2.1        | virginica  | \n\n\n",
            "text/plain": "    Petal.Width Species   \n45  0.4         setosa    \n55  1.5         versicolor\n106 2.1         virginica "
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th></th><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th></tr></thead>\n<tbody>\n\t<tr><th scope=row>45</th><td>5.1</td><td>3.8</td><td>1.9</td></tr>\n\t<tr><th scope=row>55</th><td>6.5</td><td>2.8</td><td>4.6</td></tr>\n\t<tr><th scope=row>106</th><td>7.6</td><td>3.0</td><td>6.6</td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|lll}\n  & Sepal.Length & Sepal.Width & Petal.Length\\\\\n\\hline\n\t45 & 5.1 & 3.8 & 1.9\\\\\n\t55 & 6.5 & 2.8 & 4.6\\\\\n\t106 & 7.6 & 3.0 & 6.6\\\\\n\\end{tabular}\n",
            "text/markdown": "\n| <!--/--> | Sepal.Length | Sepal.Width | Petal.Length | \n|---|---|---|\n| 45 | 5.1 | 3.8 | 1.9 | \n| 55 | 6.5 | 2.8 | 4.6 | \n| 106 | 7.6 | 3.0 | 6.6 | \n\n\n",
            "text/plain": "    Sepal.Length Sepal.Width Petal.Length\n45  5.1          3.8         1.9         \n55  6.5          2.8         4.6         \n106 7.6          3.0         6.6         "
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "# output a data frame of observed and imputed values\n# of all variables and observations.\nimpute(mal) %>% head(4)\nimpute(mal) %>% tail(4)\n",
      "execution_count": 16,
      "outputs": [
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th></th><th scope=col>Petal.Width</th><th scope=col>Petal.Width.o</th><th scope=col>Species</th><th scope=col>Species.o</th></tr></thead>\n<tbody>\n\t<tr><th scope=row>45</th><td>0.2       </td><td>0.4       </td><td>setosa    </td><td>setosa    </td></tr>\n\t<tr><th scope=row>55</th><td>1.3       </td><td>1.5       </td><td>versicolor</td><td>versicolor</td></tr>\n\t<tr><th scope=row>106</th><td>1.8       </td><td>2.1       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><th scope=row>29</th><td>0.3       </td><td>0.2       </td><td>setosa    </td><td>setosa    </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|llll}\n  & Petal.Width & Petal.Width.o & Species & Species.o\\\\\n\\hline\n\t45 & 0.2        & 0.4        & setosa     & setosa    \\\\\n\t55 & 1.3        & 1.5        & versicolor & versicolor\\\\\n\t106 & 1.8        & 2.1        & virginica  & virginica \\\\\n\t29 & 0.3        & 0.2        & setosa     & setosa    \\\\\n\\end{tabular}\n",
            "text/markdown": "\n| <!--/--> | Petal.Width | Petal.Width.o | Species | Species.o | \n|---|---|---|---|\n| 45 | 0.2        | 0.4        | setosa     | setosa     | \n| 55 | 1.3        | 1.5        | versicolor | versicolor | \n| 106 | 1.8        | 2.1        | virginica  | virginica  | \n| 29 | 0.3        | 0.2        | setosa     | setosa     | \n\n\n",
            "text/plain": "    Petal.Width Petal.Width.o Species    Species.o \n45  0.2         0.4           setosa     setosa    \n55  1.3         1.5           versicolor versicolor\n106 1.8         2.1           virginica  virginica \n29  0.3         0.2           setosa     setosa    "
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th></th><th scope=col>Petal.Width</th><th scope=col>Petal.Width.o</th><th scope=col>Species</th><th scope=col>Species.o</th></tr></thead>\n<tbody>\n\t<tr><th scope=row>147</th><td>1.5       </td><td>NA        </td><td>versicolor</td><td>NA        </td></tr>\n\t<tr><th scope=row>148</th><td>1.4       </td><td>NA        </td><td>versicolor</td><td>NA        </td></tr>\n\t<tr><th scope=row>149</th><td>2.4       </td><td>NA        </td><td>virginica </td><td>NA        </td></tr>\n\t<tr><th scope=row>150</th><td>1.5       </td><td>NA        </td><td>versicolor</td><td>NA        </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|llll}\n  & Petal.Width & Petal.Width.o & Species & Species.o\\\\\n\\hline\n\t147 & 1.5        & NA         & versicolor & NA        \\\\\n\t148 & 1.4        & NA         & versicolor & NA        \\\\\n\t149 & 2.4        & NA         & virginica  & NA        \\\\\n\t150 & 1.5        & NA         & versicolor & NA        \\\\\n\\end{tabular}\n",
            "text/markdown": "\n| <!--/--> | Petal.Width | Petal.Width.o | Species | Species.o | \n|---|---|---|---|\n| 147 | 1.5        | NA         | versicolor | NA         | \n| 148 | 1.4        | NA         | versicolor | NA         | \n| 149 | 2.4        | NA         | virginica  | NA         | \n| 150 | 1.5        | NA         | versicolor | NA         | \n\n\n",
            "text/plain": "    Petal.Width Petal.Width.o Species    Species.o\n147 1.5         NA            versicolor NA       \n148 1.4         NA            versicolor NA       \n149 2.4         NA            virginica  NA       \n150 1.5         NA            versicolor NA       "
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "rownames(impute(mal))\nlength(rownames(impute(mal)))",
      "execution_count": 17,
      "outputs": [
        {
          "data": {
            "text/html": "<ol class=list-inline>\n\t<li>'45'</li>\n\t<li>'55'</li>\n\t<li>'106'</li>\n\t<li>'29'</li>\n\t<li>'14'</li>\n\t<li>'49'</li>\n\t<li>'7'</li>\n\t<li>'82'</li>\n\t<li>'4'</li>\n\t<li>'73'</li>\n\t<li>'143'</li>\n\t<li>'24'</li>\n\t<li>'137'</li>\n\t<li>'112'</li>\n\t<li>'126'</li>\n\t<li>'100'</li>\n\t<li>'27'</li>\n\t<li>'47'</li>\n\t<li>'54'</li>\n\t<li>'83'</li>\n\t<li>'139'</li>\n\t<li>'125'</li>\n\t<li>'33'</li>\n\t<li>'98'</li>\n\t<li>'44'</li>\n\t<li>'12'</li>\n\t<li>'102'</li>\n\t<li>'75'</li>\n\t<li>'116'</li>\n\t<li>'18'</li>\n\t<li>'96'</li>\n\t<li>'67'</li>\n\t<li>'61'</li>\n\t<li>'15'</li>\n\t<li>'43'</li>\n\t<li>'110'</li>\n\t<li>'52'</li>\n\t<li>'121'</li>\n\t<li>'38'</li>\n\t<li>'84'</li>\n\t<li>'81'</li>\n\t<li>'65'</li>\n\t<li>'51'</li>\n\t<li>'104'</li>\n\t<li>'11'</li>\n\t<li>'58'</li>\n\t<li>'69'</li>\n\t<li>'131'</li>\n\t<li>'127'</li>\n\t<li>'92'</li>\n\t<li>'1'</li>\n\t<li>'2'</li>\n\t<li>'3'</li>\n\t<li>'5'</li>\n\t<li>'6'</li>\n\t<li>'8'</li>\n\t<li>'9'</li>\n\t<li>'10'</li>\n\t<li>'13'</li>\n\t<li>'16'</li>\n\t<li>'17'</li>\n\t<li>'19'</li>\n\t<li>'20'</li>\n\t<li>'21'</li>\n\t<li>'22'</li>\n\t<li>'23'</li>\n\t<li>'25'</li>\n\t<li>'26'</li>\n\t<li>'28'</li>\n\t<li>'30'</li>\n\t<li>'31'</li>\n\t<li>'32'</li>\n\t<li>'34'</li>\n\t<li>'35'</li>\n\t<li>'36'</li>\n\t<li>'37'</li>\n\t<li>'39'</li>\n\t<li>'40'</li>\n\t<li>'41'</li>\n\t<li>'42'</li>\n\t<li>'46'</li>\n\t<li>'48'</li>\n\t<li>'50'</li>\n\t<li>'53'</li>\n\t<li>'56'</li>\n\t<li>'57'</li>\n\t<li>'59'</li>\n\t<li>'60'</li>\n\t<li>'62'</li>\n\t<li>'63'</li>\n\t<li>'64'</li>\n\t<li>'66'</li>\n\t<li>'68'</li>\n\t<li>'70'</li>\n\t<li>'71'</li>\n\t<li>'72'</li>\n\t<li>'74'</li>\n\t<li>'76'</li>\n\t<li>'77'</li>\n\t<li>'78'</li>\n\t<li>'79'</li>\n\t<li>'80'</li>\n\t<li>'85'</li>\n\t<li>'86'</li>\n\t<li>'87'</li>\n\t<li>'88'</li>\n\t<li>'89'</li>\n\t<li>'90'</li>\n\t<li>'91'</li>\n\t<li>'93'</li>\n\t<li>'94'</li>\n\t<li>'95'</li>\n\t<li>'97'</li>\n\t<li>'99'</li>\n\t<li>'101'</li>\n\t<li>'103'</li>\n\t<li>'105'</li>\n\t<li>'107'</li>\n\t<li>'108'</li>\n\t<li>'109'</li>\n\t<li>'111'</li>\n\t<li>'113'</li>\n\t<li>'114'</li>\n\t<li>'115'</li>\n\t<li>'117'</li>\n\t<li>'118'</li>\n\t<li>'119'</li>\n\t<li>'120'</li>\n\t<li>'122'</li>\n\t<li>'123'</li>\n\t<li>'124'</li>\n\t<li>'128'</li>\n\t<li>'129'</li>\n\t<li>'130'</li>\n\t<li>'132'</li>\n\t<li>'133'</li>\n\t<li>'134'</li>\n\t<li>'135'</li>\n\t<li>'136'</li>\n\t<li>'138'</li>\n\t<li>'140'</li>\n\t<li>'141'</li>\n\t<li>'142'</li>\n\t<li>'144'</li>\n\t<li>'145'</li>\n\t<li>'146'</li>\n\t<li>'147'</li>\n\t<li>'148'</li>\n\t<li>'149'</li>\n\t<li>'150'</li>\n</ol>\n",
            "text/latex": "\\begin{enumerate*}\n\\item '45'\n\\item '55'\n\\item '106'\n\\item '29'\n\\item '14'\n\\item '49'\n\\item '7'\n\\item '82'\n\\item '4'\n\\item '73'\n\\item '143'\n\\item '24'\n\\item '137'\n\\item '112'\n\\item '126'\n\\item '100'\n\\item '27'\n\\item '47'\n\\item '54'\n\\item '83'\n\\item '139'\n\\item '125'\n\\item '33'\n\\item '98'\n\\item '44'\n\\item '12'\n\\item '102'\n\\item '75'\n\\item '116'\n\\item '18'\n\\item '96'\n\\item '67'\n\\item '61'\n\\item '15'\n\\item '43'\n\\item '110'\n\\item '52'\n\\item '121'\n\\item '38'\n\\item '84'\n\\item '81'\n\\item '65'\n\\item '51'\n\\item '104'\n\\item '11'\n\\item '58'\n\\item '69'\n\\item '131'\n\\item '127'\n\\item '92'\n\\item '1'\n\\item '2'\n\\item '3'\n\\item '5'\n\\item '6'\n\\item '8'\n\\item '9'\n\\item '10'\n\\item '13'\n\\item '16'\n\\item '17'\n\\item '19'\n\\item '20'\n\\item '21'\n\\item '22'\n\\item '23'\n\\item '25'\n\\item '26'\n\\item '28'\n\\item '30'\n\\item '31'\n\\item '32'\n\\item '34'\n\\item '35'\n\\item '36'\n\\item '37'\n\\item '39'\n\\item '40'\n\\item '41'\n\\item '42'\n\\item '46'\n\\item '48'\n\\item '50'\n\\item '53'\n\\item '56'\n\\item '57'\n\\item '59'\n\\item '60'\n\\item '62'\n\\item '63'\n\\item '64'\n\\item '66'\n\\item '68'\n\\item '70'\n\\item '71'\n\\item '72'\n\\item '74'\n\\item '76'\n\\item '77'\n\\item '78'\n\\item '79'\n\\item '80'\n\\item '85'\n\\item '86'\n\\item '87'\n\\item '88'\n\\item '89'\n\\item '90'\n\\item '91'\n\\item '93'\n\\item '94'\n\\item '95'\n\\item '97'\n\\item '99'\n\\item '101'\n\\item '103'\n\\item '105'\n\\item '107'\n\\item '108'\n\\item '109'\n\\item '111'\n\\item '113'\n\\item '114'\n\\item '115'\n\\item '117'\n\\item '118'\n\\item '119'\n\\item '120'\n\\item '122'\n\\item '123'\n\\item '124'\n\\item '128'\n\\item '129'\n\\item '130'\n\\item '132'\n\\item '133'\n\\item '134'\n\\item '135'\n\\item '136'\n\\item '138'\n\\item '140'\n\\item '141'\n\\item '142'\n\\item '144'\n\\item '145'\n\\item '146'\n\\item '147'\n\\item '148'\n\\item '149'\n\\item '150'\n\\end{enumerate*}\n",
            "text/markdown": "1. '45'\n2. '55'\n3. '106'\n4. '29'\n5. '14'\n6. '49'\n7. '7'\n8. '82'\n9. '4'\n10. '73'\n11. '143'\n12. '24'\n13. '137'\n14. '112'\n15. '126'\n16. '100'\n17. '27'\n18. '47'\n19. '54'\n20. '83'\n21. '139'\n22. '125'\n23. '33'\n24. '98'\n25. '44'\n26. '12'\n27. '102'\n28. '75'\n29. '116'\n30. '18'\n31. '96'\n32. '67'\n33. '61'\n34. '15'\n35. '43'\n36. '110'\n37. '52'\n38. '121'\n39. '38'\n40. '84'\n41. '81'\n42. '65'\n43. '51'\n44. '104'\n45. '11'\n46. '58'\n47. '69'\n48. '131'\n49. '127'\n50. '92'\n51. '1'\n52. '2'\n53. '3'\n54. '5'\n55. '6'\n56. '8'\n57. '9'\n58. '10'\n59. '13'\n60. '16'\n61. '17'\n62. '19'\n63. '20'\n64. '21'\n65. '22'\n66. '23'\n67. '25'\n68. '26'\n69. '28'\n70. '30'\n71. '31'\n72. '32'\n73. '34'\n74. '35'\n75. '36'\n76. '37'\n77. '39'\n78. '40'\n79. '41'\n80. '42'\n81. '46'\n82. '48'\n83. '50'\n84. '53'\n85. '56'\n86. '57'\n87. '59'\n88. '60'\n89. '62'\n90. '63'\n91. '64'\n92. '66'\n93. '68'\n94. '70'\n95. '71'\n96. '72'\n97. '74'\n98. '76'\n99. '77'\n100. '78'\n101. '79'\n102. '80'\n103. '85'\n104. '86'\n105. '87'\n106. '88'\n107. '89'\n108. '90'\n109. '91'\n110. '93'\n111. '94'\n112. '95'\n113. '97'\n114. '99'\n115. '101'\n116. '103'\n117. '105'\n118. '107'\n119. '108'\n120. '109'\n121. '111'\n122. '113'\n123. '114'\n124. '115'\n125. '117'\n126. '118'\n127. '119'\n128. '120'\n129. '122'\n130. '123'\n131. '124'\n132. '128'\n133. '129'\n134. '130'\n135. '132'\n136. '133'\n137. '134'\n138. '135'\n139. '136'\n140. '138'\n141. '140'\n142. '141'\n143. '142'\n144. '144'\n145. '145'\n146. '146'\n147. '147'\n148. '148'\n149. '149'\n150. '150'\n\n\n",
            "text/plain": "  [1] \"45\"  \"55\"  \"106\" \"29\"  \"14\"  \"49\"  \"7\"   \"82\"  \"4\"   \"73\"  \"143\" \"24\" \n [13] \"137\" \"112\" \"126\" \"100\" \"27\"  \"47\"  \"54\"  \"83\"  \"139\" \"125\" \"33\"  \"98\" \n [25] \"44\"  \"12\"  \"102\" \"75\"  \"116\" \"18\"  \"96\"  \"67\"  \"61\"  \"15\"  \"43\"  \"110\"\n [37] \"52\"  \"121\" \"38\"  \"84\"  \"81\"  \"65\"  \"51\"  \"104\" \"11\"  \"58\"  \"69\"  \"131\"\n [49] \"127\" \"92\"  \"1\"   \"2\"   \"3\"   \"5\"   \"6\"   \"8\"   \"9\"   \"10\"  \"13\"  \"16\" \n [61] \"17\"  \"19\"  \"20\"  \"21\"  \"22\"  \"23\"  \"25\"  \"26\"  \"28\"  \"30\"  \"31\"  \"32\" \n [73] \"34\"  \"35\"  \"36\"  \"37\"  \"39\"  \"40\"  \"41\"  \"42\"  \"46\"  \"48\"  \"50\"  \"53\" \n [85] \"56\"  \"57\"  \"59\"  \"60\"  \"62\"  \"63\"  \"64\"  \"66\"  \"68\"  \"70\"  \"71\"  \"72\" \n [97] \"74\"  \"76\"  \"77\"  \"78\"  \"79\"  \"80\"  \"85\"  \"86\"  \"87\"  \"88\"  \"89\"  \"90\" \n[109] \"91\"  \"93\"  \"94\"  \"95\"  \"97\"  \"99\"  \"101\" \"103\" \"105\" \"107\" \"108\" \"109\"\n[121] \"111\" \"113\" \"114\" \"115\" \"117\" \"118\" \"119\" \"120\" \"122\" \"123\" \"124\" \"128\"\n[133] \"129\" \"130\" \"132\" \"133\" \"134\" \"135\" \"136\" \"138\" \"140\" \"141\" \"142\" \"144\"\n[145] \"145\" \"146\" \"147\" \"148\" \"149\" \"150\""
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": "150",
            "text/latex": "150",
            "text/markdown": "150",
            "text/plain": "[1] 150"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "malImp=impute(mal,ancillaryData=iris) \n\nmalImp <- malImp %>% mutate(IDs = as.factor(rownames(malImp) )) %>% select(IDs,everything())\n\n\n",
      "execution_count": 18,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "malImp %>% head(5)\nmalImp %>% tail(5)",
      "execution_count": 19,
      "outputs": [
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th scope=col>IDs</th><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th><th scope=col>Sepal.Length.o</th><th scope=col>Sepal.Width.o</th><th scope=col>Petal.Length.o</th><th scope=col>Petal.Width.o</th><th scope=col>Species</th><th scope=col>Species.o</th></tr></thead>\n<tbody>\n\t<tr><td>45        </td><td>5.1       </td><td>3.8       </td><td>1.6       </td><td>0.2       </td><td>5.1       </td><td>3.8       </td><td>1.9       </td><td>0.4       </td><td>setosa    </td><td>setosa    </td></tr>\n\t<tr><td>55        </td><td>6.4       </td><td>2.9       </td><td>4.3       </td><td>1.3       </td><td>6.5       </td><td>2.8       </td><td>4.6       </td><td>1.5       </td><td>versicolor</td><td>versicolor</td></tr>\n\t<tr><td>106       </td><td>7.2       </td><td>3.2       </td><td>6.0       </td><td>1.8       </td><td>7.6       </td><td>3.0       </td><td>6.6       </td><td>2.1       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td>29        </td><td>5.1       </td><td>3.5       </td><td>1.4       </td><td>0.3       </td><td>5.2       </td><td>3.4       </td><td>1.4       </td><td>0.2       </td><td>setosa    </td><td>setosa    </td></tr>\n\t<tr><td>14        </td><td>4.6       </td><td>3.1       </td><td>1.5       </td><td>0.2       </td><td>4.3       </td><td>3.0       </td><td>1.1       </td><td>0.1       </td><td>setosa    </td><td>setosa    </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|lllllllllll}\n IDs & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Sepal.Length.o & Sepal.Width.o & Petal.Length.o & Petal.Width.o & Species & Species.o\\\\\n\\hline\n\t 45         & 5.1        & 3.8        & 1.6        & 0.2        & 5.1        & 3.8        & 1.9        & 0.4        & setosa     & setosa    \\\\\n\t 55         & 6.4        & 2.9        & 4.3        & 1.3        & 6.5        & 2.8        & 4.6        & 1.5        & versicolor & versicolor\\\\\n\t 106        & 7.2        & 3.2        & 6.0        & 1.8        & 7.6        & 3.0        & 6.6        & 2.1        & virginica  & virginica \\\\\n\t 29         & 5.1        & 3.5        & 1.4        & 0.3        & 5.2        & 3.4        & 1.4        & 0.2        & setosa     & setosa    \\\\\n\t 14         & 4.6        & 3.1        & 1.5        & 0.2        & 4.3        & 3.0        & 1.1        & 0.1        & setosa     & setosa    \\\\\n\\end{tabular}\n",
            "text/markdown": "\nIDs | Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Sepal.Length.o | Sepal.Width.o | Petal.Length.o | Petal.Width.o | Species | Species.o | \n|---|---|---|---|---|\n| 45         | 5.1        | 3.8        | 1.6        | 0.2        | 5.1        | 3.8        | 1.9        | 0.4        | setosa     | setosa     | \n| 55         | 6.4        | 2.9        | 4.3        | 1.3        | 6.5        | 2.8        | 4.6        | 1.5        | versicolor | versicolor | \n| 106        | 7.2        | 3.2        | 6.0        | 1.8        | 7.6        | 3.0        | 6.6        | 2.1        | virginica  | virginica  | \n| 29         | 5.1        | 3.5        | 1.4        | 0.3        | 5.2        | 3.4        | 1.4        | 0.2        | setosa     | setosa     | \n| 14         | 4.6        | 3.1        | 1.5        | 0.2        | 4.3        | 3.0        | 1.1        | 0.1        | setosa     | setosa     | \n\n\n",
            "text/plain": "  IDs Sepal.Length Sepal.Width Petal.Length Petal.Width Sepal.Length.o\n1 45  5.1          3.8         1.6          0.2         5.1           \n2 55  6.4          2.9         4.3          1.3         6.5           \n3 106 7.2          3.2         6.0          1.8         7.6           \n4 29  5.1          3.5         1.4          0.3         5.2           \n5 14  4.6          3.1         1.5          0.2         4.3           \n  Sepal.Width.o Petal.Length.o Petal.Width.o Species    Species.o \n1 3.8           1.9            0.4           setosa     setosa    \n2 2.8           4.6            1.5           versicolor versicolor\n3 3.0           6.6            2.1           virginica  virginica \n4 3.4           1.4            0.2           setosa     setosa    \n5 3.0           1.1            0.1           setosa     setosa    "
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th></th><th scope=col>IDs</th><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th><th scope=col>Sepal.Length.o</th><th scope=col>Sepal.Width.o</th><th scope=col>Petal.Length.o</th><th scope=col>Petal.Width.o</th><th scope=col>Species</th><th scope=col>Species.o</th></tr></thead>\n<tbody>\n\t<tr><th scope=row>146</th><td>146       </td><td>6.4       </td><td>3.2       </td><td>4.5       </td><td>1.5       </td><td>6.7       </td><td>3.0       </td><td>5.2       </td><td>2.3       </td><td>versicolor</td><td>virginica </td></tr>\n\t<tr><th scope=row>147</th><td>147       </td><td>6.3       </td><td>2.5       </td><td>4.9       </td><td>1.5       </td><td>6.3       </td><td>2.5       </td><td>5.0       </td><td>1.9       </td><td>versicolor</td><td>virginica </td></tr>\n\t<tr><th scope=row>148</th><td>148       </td><td>6.1       </td><td>3.0       </td><td>4.6       </td><td>1.4       </td><td>6.5       </td><td>3.0       </td><td>5.2       </td><td>2.0       </td><td>versicolor</td><td>virginica </td></tr>\n\t<tr><th scope=row>149</th><td>149       </td><td>6.3       </td><td>3.4       </td><td>5.6       </td><td>2.4       </td><td>6.2       </td><td>3.4       </td><td>5.4       </td><td>2.3       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><th scope=row>150</th><td>150       </td><td>5.6       </td><td>3.0       </td><td>4.5       </td><td>1.5       </td><td>5.9       </td><td>3.0       </td><td>5.1       </td><td>1.8       </td><td>versicolor</td><td>virginica </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|lllllllllll}\n  & IDs & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Sepal.Length.o & Sepal.Width.o & Petal.Length.o & Petal.Width.o & Species & Species.o\\\\\n\\hline\n\t146 & 146        & 6.4        & 3.2        & 4.5        & 1.5        & 6.7        & 3.0        & 5.2        & 2.3        & versicolor & virginica \\\\\n\t147 & 147        & 6.3        & 2.5        & 4.9        & 1.5        & 6.3        & 2.5        & 5.0        & 1.9        & versicolor & virginica \\\\\n\t148 & 148        & 6.1        & 3.0        & 4.6        & 1.4        & 6.5        & 3.0        & 5.2        & 2.0        & versicolor & virginica \\\\\n\t149 & 149        & 6.3        & 3.4        & 5.6        & 2.4        & 6.2        & 3.4        & 5.4        & 2.3        & virginica  & virginica \\\\\n\t150 & 150        & 5.6        & 3.0        & 4.5        & 1.5        & 5.9        & 3.0        & 5.1        & 1.8        & versicolor & virginica \\\\\n\\end{tabular}\n",
            "text/markdown": "\n| <!--/--> | IDs | Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Sepal.Length.o | Sepal.Width.o | Petal.Length.o | Petal.Width.o | Species | Species.o | \n|---|---|---|---|---|\n| 146 | 146        | 6.4        | 3.2        | 4.5        | 1.5        | 6.7        | 3.0        | 5.2        | 2.3        | versicolor | virginica  | \n| 147 | 147        | 6.3        | 2.5        | 4.9        | 1.5        | 6.3        | 2.5        | 5.0        | 1.9        | versicolor | virginica  | \n| 148 | 148        | 6.1        | 3.0        | 4.6        | 1.4        | 6.5        | 3.0        | 5.2        | 2.0        | versicolor | virginica  | \n| 149 | 149        | 6.3        | 3.4        | 5.6        | 2.4        | 6.2        | 3.4        | 5.4        | 2.3        | virginica  | virginica  | \n| 150 | 150        | 5.6        | 3.0        | 4.5        | 1.5        | 5.9        | 3.0        | 5.1        | 1.8        | versicolor | virginica  | \n\n\n",
            "text/plain": "    IDs Sepal.Length Sepal.Width Petal.Length Petal.Width Sepal.Length.o\n146 146 6.4          3.2         4.5          1.5         6.7           \n147 147 6.3          2.5         4.9          1.5         6.3           \n148 148 6.1          3.0         4.6          1.4         6.5           \n149 149 6.3          3.4         5.6          2.4         6.2           \n150 150 5.6          3.0         4.5          1.5         5.9           \n    Sepal.Width.o Petal.Length.o Petal.Width.o Species    Species.o\n146 3.0           5.2            2.3           versicolor virginica\n147 2.5           5.0            1.9           versicolor virginica\n148 3.0           5.2            2.0           versicolor virginica\n149 3.4           5.4            2.3           virginica  virginica\n150 3.0           5.1            1.8           versicolor virginica"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "\nmalImp <- malImp %>% mutate(IDs =as.numeric(IDs)) %>% arrange(IDs) \n\nmalImp %>% head(10)\n",
      "execution_count": 20,
      "outputs": [
        {
          "data": {
            "text/html": "<table>\n<thead><tr><th scope=col>IDs</th><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th><th scope=col>Sepal.Length.o</th><th scope=col>Sepal.Width.o</th><th scope=col>Petal.Length.o</th><th scope=col>Petal.Width.o</th><th scope=col>Species</th><th scope=col>Species.o</th></tr></thead>\n<tbody>\n\t<tr><td> 1        </td><td>5.1       </td><td>3.5       </td><td>1.4       </td><td>0.3       </td><td>5.1       </td><td>3.5       </td><td>1.4       </td><td>0.2       </td><td>setosa    </td><td>setosa    </td></tr>\n\t<tr><td> 2        </td><td>5.1       </td><td>3.3       </td><td>1.7       </td><td>0.5       </td><td>4.9       </td><td>3.1       </td><td>1.5       </td><td>0.1       </td><td>setosa    </td><td>setosa    </td></tr>\n\t<tr><td> 3        </td><td>5.6       </td><td>2.9       </td><td>3.6       </td><td>1.3       </td><td>5.7       </td><td>2.8       </td><td>4.1       </td><td>1.3       </td><td>versicolor</td><td>versicolor</td></tr>\n\t<tr><td> 4        </td><td>6.3       </td><td>3.4       </td><td>5.6       </td><td>2.4       </td><td>6.3       </td><td>3.3       </td><td>6.0       </td><td>2.5       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td> 5        </td><td>5.8       </td><td>2.7       </td><td>5.1       </td><td>1.9       </td><td>5.8       </td><td>2.7       </td><td>5.1       </td><td>1.9       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td> 6        </td><td>7.2       </td><td>3.2       </td><td>6.0       </td><td>1.8       </td><td>7.1       </td><td>3.0       </td><td>5.9       </td><td>2.1       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td> 7        </td><td>6.0       </td><td>3.0       </td><td>4.8       </td><td>1.8       </td><td>6.3       </td><td>2.9       </td><td>5.6       </td><td>1.8       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td> 8        </td><td>6.3       </td><td>2.9       </td><td>5.6       </td><td>1.8       </td><td>6.5       </td><td>3.0       </td><td>5.8       </td><td>2.2       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td> 9        </td><td>7.2       </td><td>3.2       </td><td>6.0       </td><td>1.8       </td><td>7.6       </td><td>3.0       </td><td>6.6       </td><td>2.1       </td><td>virginica </td><td>virginica </td></tr>\n\t<tr><td>10        </td><td>5.8       </td><td>2.7       </td><td>5.1       </td><td>1.9       </td><td>4.9       </td><td>2.5       </td><td>4.5       </td><td>1.7       </td><td>virginica </td><td>virginica </td></tr>\n</tbody>\n</table>\n",
            "text/latex": "\\begin{tabular}{r|lllllllllll}\n IDs & Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Sepal.Length.o & Sepal.Width.o & Petal.Length.o & Petal.Width.o & Species & Species.o\\\\\n\\hline\n\t  1         & 5.1        & 3.5        & 1.4        & 0.3        & 5.1        & 3.5        & 1.4        & 0.2        & setosa     & setosa    \\\\\n\t  2         & 5.1        & 3.3        & 1.7        & 0.5        & 4.9        & 3.1        & 1.5        & 0.1        & setosa     & setosa    \\\\\n\t  3         & 5.6        & 2.9        & 3.6        & 1.3        & 5.7        & 2.8        & 4.1        & 1.3        & versicolor & versicolor\\\\\n\t  4         & 6.3        & 3.4        & 5.6        & 2.4        & 6.3        & 3.3        & 6.0        & 2.5        & virginica  & virginica \\\\\n\t  5         & 5.8        & 2.7        & 5.1        & 1.9        & 5.8        & 2.7        & 5.1        & 1.9        & virginica  & virginica \\\\\n\t  6         & 7.2        & 3.2        & 6.0        & 1.8        & 7.1        & 3.0        & 5.9        & 2.1        & virginica  & virginica \\\\\n\t  7         & 6.0        & 3.0        & 4.8        & 1.8        & 6.3        & 2.9        & 5.6        & 1.8        & virginica  & virginica \\\\\n\t  8         & 6.3        & 2.9        & 5.6        & 1.8        & 6.5        & 3.0        & 5.8        & 2.2        & virginica  & virginica \\\\\n\t  9         & 7.2        & 3.2        & 6.0        & 1.8        & 7.6        & 3.0        & 6.6        & 2.1        & virginica  & virginica \\\\\n\t 10         & 5.8        & 2.7        & 5.1        & 1.9        & 4.9        & 2.5        & 4.5        & 1.7        & virginica  & virginica \\\\\n\\end{tabular}\n",
            "text/markdown": "\nIDs | Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Sepal.Length.o | Sepal.Width.o | Petal.Length.o | Petal.Width.o | Species | Species.o | \n|---|---|---|---|---|---|---|---|---|---|\n|  1         | 5.1        | 3.5        | 1.4        | 0.3        | 5.1        | 3.5        | 1.4        | 0.2        | setosa     | setosa     | \n|  2         | 5.1        | 3.3        | 1.7        | 0.5        | 4.9        | 3.1        | 1.5        | 0.1        | setosa     | setosa     | \n|  3         | 5.6        | 2.9        | 3.6        | 1.3        | 5.7        | 2.8        | 4.1        | 1.3        | versicolor | versicolor | \n|  4         | 6.3        | 3.4        | 5.6        | 2.4        | 6.3        | 3.3        | 6.0        | 2.5        | virginica  | virginica  | \n|  5         | 5.8        | 2.7        | 5.1        | 1.9        | 5.8        | 2.7        | 5.1        | 1.9        | virginica  | virginica  | \n|  6         | 7.2        | 3.2        | 6.0        | 1.8        | 7.1        | 3.0        | 5.9        | 2.1        | virginica  | virginica  | \n|  7         | 6.0        | 3.0        | 4.8        | 1.8        | 6.3        | 2.9        | 5.6        | 1.8        | virginica  | virginica  | \n|  8         | 6.3        | 2.9        | 5.6        | 1.8        | 6.5        | 3.0        | 5.8        | 2.2        | virginica  | virginica  | \n|  9         | 7.2        | 3.2        | 6.0        | 1.8        | 7.6        | 3.0        | 6.6        | 2.1        | virginica  | virginica  | \n| 10         | 5.8        | 2.7        | 5.1        | 1.9        | 4.9        | 2.5        | 4.5        | 1.7        | virginica  | virginica  | \n\n\n",
            "text/plain": "   IDs Sepal.Length Sepal.Width Petal.Length Petal.Width Sepal.Length.o\n1   1  5.1          3.5         1.4          0.3         5.1           \n2   2  5.1          3.3         1.7          0.5         4.9           \n3   3  5.6          2.9         3.6          1.3         5.7           \n4   4  6.3          3.4         5.6          2.4         6.3           \n5   5  5.8          2.7         5.1          1.9         5.8           \n6   6  7.2          3.2         6.0          1.8         7.1           \n7   7  6.0          3.0         4.8          1.8         6.3           \n8   8  6.3          2.9         5.6          1.8         6.5           \n9   9  7.2          3.2         6.0          1.8         7.6           \n10 10  5.8          2.7         5.1          1.9         4.9           \n   Sepal.Width.o Petal.Length.o Petal.Width.o Species    Species.o \n1  3.5           1.4            0.2           setosa     setosa    \n2  3.1           1.5            0.1           setosa     setosa    \n3  2.8           4.1            1.3           versicolor versicolor\n4  3.3           6.0            2.5           virginica  virginica \n5  2.7           5.1            1.9           virginica  virginica \n6  3.0           5.9            2.1           virginica  virginica \n7  2.9           5.6            1.8           virginica  virginica \n8  3.0           5.8            2.2           virginica  virginica \n9  3.0           6.6            2.1           virginica  virginica \n10 2.5           4.5            1.7           virginica  virginica "
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "table(malImp[,10],malImp[,9])",
      "execution_count": 21,
      "outputs": [
        {
          "data": {
            "text/plain": "            \n             0.1 0.2 0.3 0.4 0.5 0.6  1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9  2\n  setosa       5  29   6   7   1   1  0   0   0   0   0   0   0   0   0   0  0\n  versicolor   0   0   1   0   0   0  7   3   2  13   5   9   0   1   4   1  2\n  virginica    0   0   0   0   0   0  0   0   3   0   3   3   4   1   8   4  4\n            \n             2.1 2.2 2.3 2.4 2.5\n  setosa       0   0   0   0   0\n  versicolor   1   0   2   0   0\n  virginica    5   3   6   3   3"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "cell_type": "code",
      "source": "plot(malImp)",
      "execution_count": 22,
      "outputs": [
        {
          "data": {
            "image/png": 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qR0Wf6QOjDMOFJbmLT9mQxNqNwAa9S9U89sOEdZ4PdY0OKL/3Hz96emjoXZreSM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SKbQ3eTl7RfvtVJMhJU++423Go3OTii+HcwKHVAw6x2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L6ydMHywiLQV9DyAaXOpE2mB7FZ8cEW14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\nnkWk9If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FMMjrQ91HLN3fJVmz3dmq9g\n7iNtiQHIMPltHhvHrDVfsUlx4kch4A8tkX6z3LPfjNBkf/Usiky6rn0ff7xq9rJp6n0kFZFG\ncXtwugjJCHkUW/nuM1xu+96Sc2vVH03ygiHSWc+rqILDyUxb5IIh0vXS3oEmAdOlSCS3SUTy\ncqKJaBXxILQxdBB9ziXv5C3eyYJAdJRQJNygS6Rqr3Obt5t49AHSkxFeqk62XRQina7ZJy0Y\nluBHwDPnNvvaZBBEOtJU3gmKc9BxSdZxsvQEPLyo7mvt1xrsl2X4jwN06fOlk3szxjMEfCC8\n+K95wZGfRvkPIG36mBgmEH0CCmiJdOpBobSlvGjt5RLKiU4YEi2vKGg2ZFVEOhuOIhxeUy61\n4MSNZPrZdFBk9vhgiOQZezT3ZoMekc7KCagr+OFLkUhRX4lFXSe0ibUubNNq6txhMO2al/FE\n307PqggQUa4dITPyqNsOu/L6oZdIv462cIW7MD5EG4NIOrLwXBhVNb3Qps7oRSDSS/nIIu3E\n9sI4m8Mb6Qhxea0uE4hIVb3k0/BZCTyumtkEcvFV5H3m6gp4eVGzLp3etOgrnxTlnPTQdnyi\nwVxDW/45hoAXhBeLW+E7fUeKEHK02zZvjspXrlJAARWR/prvJiqi5GCC3iYUbQhxboidtubU\nuQj58lcgIuHV8rkQ2g9EpDYJF2Kt0bFilomeBv3ulivX/cU6IqTB5/LbaH24EZUNLVIGMYn0\nrqwMqbpi3MpNujbOskPCruAsD+miwYh0CL4g/+80SNdQnpM2eZaWep7eY73rnWXg6PHKQoAr\nOODMLrcD7VIk4LW02q7p83unmj/FPDjamoBen9wOD5DPierd6gtPpHcNV73iJFMTN70gEya1\nOdH/gmkgInUj7cdMBqRUl7SwojZdpUuks0VRIdf3ocdomoaBOHybhbopWYHgGLVf8TNDwAvC\ni0kjn6WqF2l1Rt9hK30EINK02Gv4LnQ51mAhPcCHLZeV3EaKQLpAVCzv1QUi0ssoBOykO+Tm\nI7oL2MVWNpWUy3U5q70RgiLSagBrAfMGHttjnwabiBKUg0DtAzKZ3nnz9jpG9e5VPdFgRMJh\n9LZZX2ti99cx/pbeuKnp5G2qmSv29yP969TfcwymwuJEGPUJ2EwvKhLwEOldnraUHlNPgoEH\nWQE+TxQrjKPV/dGFJ9K4y/BmeuJPpGZIWsK3GL9PxyYfAhGJGwDNcJm0wnIvxrtB1WZ0ifQY\nDwb3yGbAT5auU3cCQ88q3NNCm8HqMJaAF9vEwjCrixeoCtlasm0bAHUT6bSwrVdZH5r/578i\nzOw5qZiPKpoJSX9h/LNFJmkgIrWg5wZLSFbWcDmQ1C/XdF3eud9DV4k+V+RBEekluopl+AdE\nagnRFlG7atdTHJ1WgCysZOuPhiPSGvPcR9tA2UPjhd0Yj4+8bWM/xzfyw/P8Joc9PgSMKQbU\nJrR0IPSpMSaYmUR6RNrgW9DlZjKn7eACyRp6EcR0DVFPkS4CkUqX4GV0tdBNuvg2BxHXqoXS\nw10AIh2EzvAEXkfaIZko5ZcgXuNrhE2k31w8dA8JMQJaKxkdatPRCAnFosBPfXSu+R6GgA/b\nhBW3IwiV9Bja/tfpvHmtQJ1E+hz+Fy8m09Rs39sARc4Ew6QeXEZS6w2r09vL+kEgIoUDOPvx\nUAwjWiIYlgBx+a6MuPikHj61PigidfMsurBeISgikYaU2U7LxI+Bb91Uc0uJ4vDKqWVXVLJX\naHTQcETCj7WM5qkL5qltiHqyrCB24Gfep+mtsqI+y6dLSNa0/FgLdNgHdjaR3uGpSbJeZESi\n7yet8VdNMAFoPSRfeCKNHYzpBe+I6jTSHYbHmhEKe9//ecARaSAZS/NAAPw41dA/1OSATaSb\no0DY+q1oAv4KqSXO6lnkBC7szu0dols+xhLwgfBiVax0Y4qeGo+Bus2P48Aj0vaoREglCSYk\nkIktb4rqE9tkCrw9NilzjufSQSAi2cEgDL0SHJCLUiGmV6e+kxPt9oz5tV1KUETaKt+++ftE\nagJuAz3Cpgq+LT5FMGgsORDsNLWedt209lbWQV89NCCRqO1LajbhOY0/8rv51BKjaEQoBwRp\nn9wc4kBKpx8eIlW1Ltr23kzTx9sBXL3NQCdGiSi3KefU+Km+8ER6W5y7hyik0WG0FrPjYbzq\neSAidSFzJLrnlHTGCSgXJWlywCbSkLam6LCbHZQQpRGAxLxrugMa2lXU1iqDSJdHyFcB6Qpq\nmEZAjQBzpClxIZwoyIYoAEYYo+jhG7u/w/NARAoBTjryitqScRnjtSqb+8HPkZDtnxBpJhnS\nrFoLdqNp78wxXF8UPCj9t0WziFkHGpRIf/JU+b0zR/20pokI4o17aKPiPTcDbDqrdoeHGyB/\nBz4q7zsgarB4C70KV65O8yKs2m3NBnq5BpDbACfxcFDd/Qq4atdFWnUNw5dzhhD8rPq6mh6R\nZhfb+xIWCe3oYU/kiDiHS9rCXjwrV/MGDCINFDO8tvwjAg5IgYh0Zg6tKqO08GZwbOhPXS7+\nD/lbdw1EpBjOLC+4kf4oG+P5ndQ5CIpIH4L+OnVQRFroWU9QBc+j6yYcw3eLXVbqzrpZv6iD\nBiUSHpz/wV/bwpZpHj8rQr/3O4Y54GCvK0/jP05GPKDvsa9KsgZtQzdsvJyaIekl2T+IU118\nuUj7SCfP41gY8z8ekUH2J3hU+TCIfaSD5zYi83MZIr0yatWYlGcT6W3RPfjtQU7xLfLnH9Xp\nwiPHhabcy/g9TuMCT7vYcHAwhwbdw/MzIlJaBmHdMOA+0npLQudtiSaxPBEPm/wMX3Lq626F\n/iYCAhGpCAbuez0GpuGDbZugw09aNb4kgyLSduBuWTviHxDpGgh/7rHxoL6e8aFh2YlfUKI2\nfpdptKxPXdeV9Ys6aFgiHe1PutKZSu+hNbvve/HcSto5x65Bx4fToaXKul2fSDW71m47h/fT\nriyEKNOjpPt7oaVYhYtCpHPb1j5PdVH+W3ojQuWBLiCRzr+8dkf1cvrm1FWYqLHNzyDS5xue\n+G0j3UByeFy4dutoITNl7n28w6xxUawhEh3uyfhhJT+Z9732bTRgEOnPZ9e94xeyiCpm3J3P\nhNT0mIuLBICWCruRTCLtue95rx3tSfScoYnunf3UlIwIWpYERaR90oUwE9M4loZIN6zdrtkR\nuku6zubUOHB5nF79YfgL/qHQmFeab252UPtIFw1LJIx/fPM35ZOT7Q2Z1qzvyuPXf3K4c3v8\nqPU1fG5mxHFdIh1vY8i05JJX2D5Pcvj2KvSrJkquxr/AxSDSgRxrpqHdjnmF/BZ8ONaoci8c\niEiHmpozjSW/nV7XB2bh6j7qe58sIs3iU0NDXjz97tZ3vHcB7gp57e0+IfFnD7UYqM2eRrX7\nYp0wnUehSLQd1cRmQEukD+Kd6cJlfpQ9tnfXM+blh90DhNe3Gx9/5xvlOMcg0uluYoYt7Qv5\n+3PGJx5+Ya4h90d8uFXXt7QXJIIjErbwphAeqe2vSlATyS1mmpuobbIe5nJf2HAb0ixY4TMf\nfM7yIYtr3n9s9eMf1sdicYMTSYMp2QfxsW5t/+wiJBtpNzmbi3dGvKLvjHli/k/4905+ZgOn\nIaJi99OkezGI1KHrMfxjzmR8Kpb0iRonJYGI1L/0CD5cTFtKXzLbQ1ofFxoirbK8js/PC/Hv\niqrHc4lWg5BiKNEuxrLO2q2gVjotFvvfI1Jh2qjT+L9RS5TBj9lDQ8AcxysdbVIwiHR16nf4\nj77eGfz1fJw75InWYoqh6DArB8ERKYMj5c8znYSoiRR2L/6tTR91rLs5JPgbtfEDk0h/Axec\nSInU4/AH6Dh+c8MOqaf74uFnj9fh1TyaLvG+xfu5zfn86ulqW874ohDpJEevem6kW1uPTrz5\nmPpxACJVmak/ii1O2q/tvfJqxsa5hkgDaZ9Z7XheEbzvwRdOvrZhl2o4lAUOKL5LvBjU8a7V\nz/xm36qNroWGSNmSPbslaj361yc3ffL0I4w7tgwiZdNrzp+DlzZfP/L077jm9Q2vMvKPgyTS\nYfhg6YQN9zAdTrHmSK8aNRcsf1lQrnNSCpVWSFih2eb7d/wj6RLJRZ2yyOvi/tAjUo2NNoH/\nQsDNsItApF+kU09bNKv5HgQg0kmOTjZeE/WdsWqI1JVuw+G4R5ixtWASqZ90QyhmUzAJaIiU\nwdGjhHdrVnb0wCBSDF2S+RlYN9sZCIpIX0pnNB5lOnthEekDVA/bWkJskYRWBzSP/hX/SKYy\nHUTFkY8cszq4pZpI4Z4HEQnkI8uql5wPue2VCQxLDSiiRIKaSIWaKJYc8hEfqZOAS02ktsrn\nznTykRyinwONW5dM68CysvaoZ5Bv0Euz2EAC82zBp9FWTSQnX1xWNjgsOcgMlBWqiZRQFhs9\nuKws3xhkAqlqIuUyIg02FJCP6DhWAuGLlAlEtCwrS3cEm38Ck3KT+2+jgYj0w5RyHZSJEQXx\nXA9N+O3KBN7zhg8WIgviuF56ydVCtRj9QmAJFZRGI/B6bYweXFxBhFimIz9ZZcHpFtXzflxM\nQRQ/QD8DU5XD7tmrJoTY8jL4wqDf4CrlaPfrVBI2wW3LS+ebBpfALco32De5HUoucFtGBZ2D\n9coEXikvH2YIK0hAXYJNQKVwPcqM1AUlFIQZhzGfqRwLTooqiOH6Bp3/8vIpP2ANqu/qf+vv\npDz7ax/pooGI1IhG/P8HN8be0KETtWRbD5lGIjWiESrEv4vPd1vaSKRGNOIfwXIS428i/9dI\npEY04p+gxeJqjK/vtb+RSI1oxD/AW5HO7/GZXhofgXWhkUiNaIQaJ1/7A+Pq7TfXQ6SRSI1o\nRAOgkUiNaEQDoJFIjWhEA6CRSI1oRAOgkUiNaEQDoJFIjWhEA6CRSI1oRAOgkUiNaEQDoIGI\n9GFJUXZBUVHT7MKCZPJ/TkrTogBQuUh4NlB8f8QnFxUVtleam7qDFTEhkXzEprFTUV0BmFWf\nHEjYoUxgQFBZTyFZj8mQ/m7+pUL+j7aBxQuzMzNzCzKzM/Ppt7ZKw0JfNlfEzcnPzs/KIB/Z\nupUxQPkGO4J4gcLswuyc9Kym2dk55NssZQLr6xDMzi9qmpWW0bQJyVBt6B3KBBYEkQNfTmIy\nyUtOUCYwqh4J5MbkFRVlMS+31x8NdbHPPoWfX1GxNKZzKrewomIKdKmoGyPUF/tSAgj4YRY0\nr6joyisNLw1roY24CDLJp5VjptJEfbGvT/A5kBCjvtg3IbDMJGhLPgWD9EVQX+ybG1C+c5gg\njJjHh8Qnky9zNSaL/aNeD5ehgaasJvFtQvrqpDZBfbEvJvAb9AqfDbmphglpeXBtRR/1xb4m\nunKz4aqKyxwu69Ibrf34yd7QFuqLfV0D58CLPLiyoiJRZRM+ckTwCYShRRUVFpbJ4r+BBrtq\nvla6lztjYFwy/V/oEUBA3xxXYMyBoxjf6FARiXHVfK3k8Xkg+x2DczRWB4Kwa6fBFZI180LE\nElDfHGdhUIc0OIyz25eGMASUN8dfER9MXNL6rvxre46YpJNaYP9IWowdvzm0xa0ly29u49gS\n2K1LLf5DKnx2/5xYjLvNz62fNwodpFLLqR1UhgCYdu10YKM+U6JCgheoCw1GpG3UC+IWC49Q\np5IQFwzyf7p/VFFvpUWPv02kfQVWEwLUH99oCECkn8IRwAjyR6a307o+wpJS23b/BSKN5mUT\nd2FGvL+pNYRXlkkQRHo2ySJye07ZCowAfJquD1mCNy/LhsFcoqVZaEhBRFznu2Vbb1WjQqwF\n+5gCFHUSafeApkPex/iGNu9xhbFCpF0Ewd1MZaZUl0g7+2Wi1/HK3KxY/LbBgFoOiTUZEzb9\nMyJ1lPx7CspANpGq7+9aMkXjnCOON1B79MH/Yl1oMCJtEgB5fXXGcABNas3mfGzqXTnZoHCk\n8HeJ9KXX91taIijNY6mJVMWBMxRg4tu9Jb9m35PeHPL6h9VKXXQiNQfJyVrKnlbQ/3vB3Lsl\npCueByTSJ2HSq9tLHLI57h5QoXjux4ut/MjbrWBJkYuLMxtHSME5qEUfK/8VQ0BCXUR6gh9X\nOVi4r7NJNjltlPzAGbiPFZH0iLRRmLjciR59z8QJIxGSXE5yJJ01/4hIrwftsQ/PdMxZ3jJK\nbRDsmkvRY5+b56Vq7vG8ZLQ7LcEY4TPT15uW1jqrwlLo3yRSIgi0CdGuSOXXRk2kbkCY+4hU\nUubOKWDAJ+FyEhzrM3d0sYnUmvSesSC50yvEHY0nMBYjFBECEemEBZpxHg+iGa2dTcEOMxUR\n/HiRfR0+ykd5nWiFxSUDNdm9DTZgfNJUyhCQUBeR4peSjzH80Dyn1x9goSUEbL0UkfSIFE6K\n6huSHYfkiReESADbOCcy/yMiJQZNpO/JaIiriq9SBVsuJSKd/F3CetF9K36U5GrpBlrGX48Q\nwTXfGydm05tLl78On/nL1Z9Io0MjYkglVkHXu6DJJOjXXvlYTaRwaR4iiHfyQqnTLMLIJ+E7\nEnCFzyXBxSYSssA4XAylYGpxTQRHNXOTUjGqi0iLS/InZpOhfvIZwSISjQRnrbCaOFAumtXy\n4hT3Nt4lvsE1hbaGKDtCKBVm4OPrmnPUc2bLMK2AjDqIdARmLv/8THPUgY91QTJYIQRegTRk\nV5ph0yHSj/ANPrxmuOmzc+9cYyjkzfxSCIVsiIAOzf8BkRDkImQMhkjPuH+466YXb1Q3MaLX\ncLx4aRBpn8/NLipxyiO2d+AHuNUTqUlboWUzTumupz5Emikgw11mjzfgAZB1DKIGwNXtlZHU\nRMqAKjzVBdwBbwYFoBb2evsGsotNJMgFLnQseL0aoyurTXGKCLpEen0Y73uJcJAcah5pe2MR\nJ+qOSDXOZ/FnMJYTULzgrZ/2oXGpkP0bmaSnagVk1EGkcshpKoRyPpfMpKLvsQwFR4Eilg6R\nTvFvvOpKyeBazeFbEGXCyXHeTIFR6a+nfkQKdkTay1uy25oS1Fa+4RIakWo+eV/CUMkpD82W\nx+c6bxIReCxVjkbr8I85SGG9qh5EagGSEfXRNkilPDWT7rAp8IEMRD4ItgyPg6p4mCU5k0Hv\n43u5nt4IF51IIHu0MVwjeyeGJBSuiKBHpFU+p+DpiANRnES9us5z8dBCX7Ubn7P/vB3MIXLX\n7XlZBAAAIABJREFUJskj9NRh3lhWfTUsYAhI0CfSM5bOTb8pQiDU+ic3W3sakaC8+6an2vUt\niZz1XsKVsdwruBXJkdWbhksApXnh+hCJNArKSGUgk0iHuCbHataisapg6lxbx+1S/dFAyUwn\nZQxNwA8jjVbg5Gnt7Hhkg7y0VdKXmu8+otY860EkEPEukjSGKAxej93opUBEOplL42UckPxk\nhQNMgxjaojJ9puAuumoHCdL08aM4MmC360BzpzQ7rUOkHw1JHHBRlIQG6h22JLkMXDIzVHb5\n/XhxohcpKjKQ+/QFsMGAiJoNlMndWAIS9Ik0/bJfWpBEeM9o6qvlEKWLDD0i/VpEer9hOwts\nRxakRvs1kjtCeasi4oUZkXYYMziDoVRtEvxSGpG8mI6MtI7E2jJy3mCFqI3SwxmDPutA3ro1\nVdC/JOOLc219iLQJrpCSbQ+xGKIpPVD61QFNFs+h2kP+a3RKKhf4OMiKSF6wpzbGRR+R5FYd\ncUJeA0CikQtmH6nSBEoIV5ziiRbtuuX5LXXtI72VomzyQJry1/gBx+JPdARwXUS6ok2k/OPe\nTNCPsEULgt1H+gA9vsG7psvxvoz1DjEr90MvDJFeNJPfRjndVcGXJpHEy8EBAm3yhXI5JRlt\nbnmt+Ul7WfzEEmRstuSzv7Lzx5d34W4LjkhPEp08PZt04ML9PJ14dYYr3HCPbFuzbiI9IdUU\n/x0pWarckJ68CCpcit+4qESqntscZRVQHQ01KyUfDyIINWlMFh+Q/3h+7k3vbLjqtn0reqSH\niOBbewNoRdTl9X/h+bDz0O+4rg3Zo2PyTDzhKkdGLc7b9Dk49FenMraADB0ifV9x1RCqsvO1\nw5GJQ9cfDuxoTMJf908bOJgPRcbWpCvpmkMdMaaTXsVI/ucikHLlUodIH/VtNlbjxIALmkgH\nQDQJVuiiCqaDukY3/LtoMCIhg6eH8Gn0aJhTXl+oKaM+TUlwpjgDRaUjMmmdEgyRhvg6P8k5\nuOzM1Lt2WzeRWslZmI4rfK0wbI7SzffFJNLZMBSOvMODxykrBwYmkWoGWXq0AFu/FCT6jyce\nSSuKC4WeCgEffLz4XORqheQ/yWyCgwFJsT8yBTxgE+kFS0E/EdRw01WCYIj0W1aYiVfKItqz\neaA8bMcm0t3IGMUZvlSF8kET6UE5Zpwq+JIckQB5ZrXy4G+mbcDs3fz8CKLDLo8wAZeOxF3i\nKxNDm5jmB0EkgJe4IsIGKcXtABaz0enbgqyDSOU0D2nS2I/IVMGcZOQ5qnYqfU9eRCJtFwFF\nvCgRSHJn2lXqVkazjwg96P4KX5EkflMYSjJtE/zJxDeHH6bnt7xPKeAD5cXP45PTZyUa/aTC\nZSbxpPF2X/mHRsAfTCKdDV2Iv5fGd++YRN8jQbJbHgyRLi/u0t7okjbAkNexs2f1g/S5iUpv\nXmwiCRaOKDvpqtDgVbsBYAw3JQBSBV+SREIt5CVvlCbXnhGSHIZvPE8f58Jn9mrPiZRrfUqm\nkOrg0gMT6TSYnwCHt1sNh5YYH7pp/reep/pEGgch3QBylyJvd7x3xuoMaDdmp1Lg4hFpD+lT\nmiPqlBLQeyJEwGr8ci8w6py1Gz8O4+x7E9dI+o9vRKGwtuaNv2gFfCC8OJHaasO92SRuul//\nT4Y298L+MBhOqTIWFJGok5RxigGF5CjinPQsGCKlt6RZVwxIqBWfAJ02/e+xBDGYfaS9AKEJ\nVlAdT60HkdI8yoAq+FIi0nct5BPpESDy7UFEnlqXPMZmJ3qbaiUP8pNk8sRk52A0EpWrNWwi\nmchUx+Irf3rkk8Cj1+gTiY+Qy0jq/yxOWStR90YXkUgT6e/Hr5aHBYKXSbsi/cPLekQaS4i0\nRiISgqV+Opr8HlM0Aj4QXtyVfJo65rLDSKUUUQmtSD3ZDppIDxqQIjHgzC9Jz4Ihkgv4qUpp\nBHkC3Y1oN4J3BkOkl9k8QLK7dGUgk0g5bMpcSkT6s1I+kV5K6q6A8+ghRqoBk3c0e4r5XAaX\n7b/2ZIh7mw9HShduWiIdywIohshascztEP7Vz5kgt18mke5snj+rmp5UVSnlpOo1HnovFpFe\n8MuFjRYQ3kyV4KV6p78fcn2BpySK32ZQ9VhUEglBoZ9vdQaRJo3cfGXPfsA5o5RiHELW8Rqn\necGpdmEL0i3KXBhDi5dLzwISqfrRqby5vR2U8uRfmCUunE9KyQ+GSKvZLT74xYa2lz6RvJhO\n50YyjcIRb5PfEXGyC+wP0ArBb6JNm3VXNyg95mqIdMg3OfegOYqS7iDwSdJzFpHaQngcikSk\ndv/0/RqdLyWSmnxAneWLRaQ4n3Imdwod9QS8iw2DTd1KkDVX2/goD82uUrWAD4QXN4Vaw0QE\nqqIjCsFyVtaCW2zYKiqT4yEsNOI/0qNARKrq4hqCQNOrUUQLBoFrMiEYIm1mt/jgFxvi/z9E\nJJRVzKGBHJnbT40zukjBxzzHAZL3/l6w7yvwL0OibIkmpJxlaogUAVvwaqlJeOshRZDOyVld\n0nMGkZ6hp6F3IycM+2oelaTZINokLaoeoLmTc5GIVCl1HHukGltLKLVYV8DHixfm3fxuJTd6\npNMsvbrgIxIiJReZphXwgPBiJbSK+rAn0WrTFMqYECkoo/oElHllEuk9QanYoVR7RIzs7DkQ\nke6J+BG7Uvy2FxEYSQKoPyRG/lARhc4GdWi1H7vFOyGMFo4ykEkkKzsBOuALlxqRuPD+EaSc\n3JGoSZjD0/TDkU3SJg4ihw0EztcepD+Q0lOahkicZbNU/rW6TbQJXsT4KyiRnjOINNJA/0jO\noD2/paVfN0qvUGhq6KIQabe/SsvnmBRztbou9j0Zjgv7q5e/aXFwg9gCWOLFjFIzQFZ6oqLg\nCIZEs5zKBkWkY1cYNfmI8fjJC0SkEeUYL9C+Q95BaAX/xX34mqCIlMTmwQ6AqISgRiQTOwHm\nasXfRYMR6ZOOPGdFQp+wcF6qRaN4bUiIWx52inmj96imtzBtSHmoXUMkXtEQhJKhgLoIkN0E\noYPScwaRxouk5bYUXPjzJXvxGj/pklgATUNSEynUw4sT3t2mbTTC/lz2C5NYaS2UQQwinRd8\neYiTt4i/0Bfw8eLNecPmVrhr0rQ0oikc1gp4M2xc0651l8KF+5L6ma94OcRf6tHwpxgvEZhI\nNS/0N2hoFAveO3KBiDR2/L29hw3yE5WatOPQvUTNuGU07wruGkV/Ng/ktacUZRiTSHZ2AsK/\nS6TiXxiB0zmMtxt2PUgIYkmB6+/hgDdkQOZg+Wm/FN8ZZOkDQTsjKJuhmkjrPBFBWuoSwWEH\ndORAIseFvytHYBDpZSgfTwUMxzE+SfXiZO8PCjZOvfSrIZJxvPz/j96M1UkkEisIIt3vPy6U\n4k/rFPDyYhKHDIgTVlohzKpeawD0plbAi218RiYgPhVBFBJEv5kJatHLwqq1gEQ63c7gqQS/\nxKaNzPc+D0SkhzmVeMWZQgSGnoiLMGf2yBsWHJHa6BCJdGc/sryaa2BkJxBDOmj+3yDSzRLM\ncxjeLiiR8LW8xQyxpKQ+wDPogGLOOCQ/nRmG1EsHTlAyR02k2uORnJdS2YoIrMUG6Qw67fQG\nnUQ+2tIfE9AKTZbVRArrjZclZ9+NB9jmVY2Nzr9dQSTpyY6JgzJm1lRNTunVex+JlabiGINI\nDr9MqLdB9Ij0uMVwz5YcxAmgBC8FPKgV+H/snQd8FNX2+M+dtn03m94b6aQSINSE3pHepQkC\nAhHpIMWuIIKKDUVFLKDYEFHEWED06bNgQQULgqCCBQUBKSG5/3tndpOdmbvZWQgPf59/znuG\nZOaeM+1+b7/n1MgWE36NByvohBOEx3VXx4FBejFF5KCjxqAlJupTb4JAIF3pM/+qDHyTogFx\niHNz4WWh2b8aA2mwX5AwNgSSnxqpVHmvLLPBSzAgdYLSPn36iF18gj3/ee1cWYrRqS8Ok1br\nrGdvX3ojvxLj97vaJj912pPqAUAm9dBPCIJFKtsakL71pDtHlDaSyiieNFT2qFIwh78HQ5ky\ng2uFfPtBkGszKZJrP0ITgJyKFiRp3LYeJ47k7yR1zc5BlUcifUFSzlTYD5+KPbi2T9VHsIvW\nSJLagBak6pXKWg/5M3KtsE7YII1vE/eANCVE2VYuvzQuW/4lmuTBDIZCjRAuZvXqKtaMkHoK\nL5J7XR/rr44DgnSPKbIEaP/WK4hOEY96+GhNikAgWemSe/nxyX+iAOj2FH6Ju/+EGQ/9+Oh1\n688Y9Nkw60JBimcbKHENDY+2RTEUzkOCAalqaaPtpC/hu1zrpyGDZElDNoDuO4GOd29w2G55\n7SaLdyEL/viJjHDR82VrcweoA8P7gPThE+9UfQhInkUzQSi8JhfsMFZ9MzqQhq1/7UQ5HAZ0\nfzz5bMIS2C43zlEsDGc+jRakiBWLUktKMp+nTbtfXpwl+IKknKnoiXHH78Y+Rbq/Mkg5agNa\nkJY7agd+mcUeA6S9T786tDTFuQqnltWU5DQTmpV5oZwjWgVfIVyUDygOcdCBTgvUbKEgdfkn\nzDfAAul0xVPenczn7A/n9QTeoqqPQgRfb35MkD598i3v5goOJYOzSQ2H5JYiF7bOOlGrYAik\nAcGAdPMT71ZrE9nZBkaYe720XoxhmQ1egmshfpi54KwKJK+Uo8d/39m8XfJMjM92HrA6y5T9\nqOfMye5cHIRGmQtlkDiRF+lPUk6/qjJQA9Lxznyc0HQpyQvyoCU3CEhtcmzUg9orakEajGIs\n8U+RPn2/b1FsFPBVkZxSIaD+WlVF9KN2C0hNevQ0QWRbk9V7EnxBUs5UjKMgjSIgpe4y0EeK\ncpLMzCk8xLLuQA/SAiHK5nTy8NMW3umzxjXH8id+Ttr48u9Yq6D6mzTtnnZIyfKMAd1E4UEg\n3K+HKj1Iu9JMcWiUMnm9Gw5f1chn6Frgzc1fbyT+6aPAAOl0XxQn5XoWcgnAR8d426hPHIkL\n7R7iHnbAR8EQSO2DAMnNxQktftMk8jNqt8bVwRluymWZDV6C7Gr9Pbq5lQ0S+fENrLM0G50W\nrRrYnpb2HY7JsMsLgJM5CEOZJHeFQITLD0g9nJ1u/aE1XZ8lN4kmcvrFPbLoQOqDT42PbysX\n4GOJat/jRQCNfsFpSX4eRQ/S1qYnjiQfPFiMFy6uruArt0ys3F2tgKScUUB6uG/VTtK0Kw4E\n0lGIqV2XwRyy0IH0gGkrPnO1ZCYACsUgpHvqJA7dh4+2767T1w829BguIeSZj+WBM9vE6FRt\nrvJV0IGUPfA4/iRcmb39E33yh8fByCDZYFL0yFx1i5wB0vzE3fhIF09DNk9phoQD3aN+ebQw\nW3sHhkC6KQiQwu/FPzfXFp3RnhepOVzV3Tn0MhjIMhu8BD1m8fToI4yj8mBDJb9t38LRt6s3\njqSswXh6DHdnC0Ep3FzKAEKGZjOOF6SFqM205OwKUorxDqVEXc6+D1Yf6R/xnVtIp2hSCCC5\nOqM+Kzs7/DyIHqTqxSlJa/GZ/Om7S5MmXD59y8TfoXI3HxUVdbVyRgHp7BUpg7v+TFIFAOkc\n4sHT82/VhNkQ14E0cAzVczRBQlxoBiA+QmkWxqQ5ip2Z+vJLB5I0Y/yjOYQ7Tx2AzJnulXk6\nNR8FLUg58nqTG9sof3Zp8Z9IZ02F5BooRLu46SoFBkiy88ddHgcdW73K9EncQqfTWCOGQFod\nTNOOVL8V5rPqg/0870OrXPXUhGmh61lmg5d6W9lAfryJ/tCfcb2E8alepIztcb+LI40ODin+\ntKR/VMk8IP3Ambbg4+nl0E1+9EhI2+/niszBhpCNnmo8DU9PiIUN5F2F5rC08flPyL69Hh9r\nQjsBASZkj4NZXq4K/fAZK2OogQFSJ3luLRptbk86h+FyIWpqac2dXLlx+Qtn9PrM/UhZFpO3\nSThxy9TSfuwOoo+Cj6zI4OhXuc/zyn4pA44bla2Yi+M/3PPAKs2eIAZIMTRj/gJKwuWhNT01\nu2vFW/o7MATSx0GCtBMdVR98XNEPYRmI/reBNHrDsvCrGWc6jiA/bo3cSt7sifd2lJE63io9\ns+e1ZLs6mQekDZFtx2I8Jz3x9DBSFOcLcX6vqAVpyASMX+MO/gJjSE97jOzINpkfeE08et2P\ngfMF6ddBbYupP6JAIJ2AXCuIZhCHTYvgdrIs6UCakXkS43dRIsZfvX754JkCqVOGJYY4v2cp\nYz8gZbp/mh9GWlPdnM1drflO5i+Yqj4KPrKiwPQEKXvajfEeSCs/gKtIExm5hLheuj48E6Te\ntF11p1tZIDt48p+LXES9sZhrfkivbhCk3fKyW2A66daCFElAmpupSbSJ7hTmoQnLwL8NJK5z\nZONlZxlnPrO0u24A751XP7s0wxr2X/JLvMZnswek12z/NXW8LgVtwviFSE5so+le+4gWpEGh\ni8abF+K/uY8qf65+Qt4M+Vd7iYva4M/AxV4iVGnie87oyltbiFwcezmrDqQvMzIWTLL1iKRZ\ndvgEXPnJCJdo6fo5Uxn7AWmIM3PBJIv0StWDBTZrSJcP63oCfR/pbmHk4qZhNcMBLW4jPw5A\nvMkUP+84wwADpN32NtcN4RVnHXg8LUWfEy1We/FTOmUqhkA6RFq5iBcaMU7pQAopuK43v1WT\naJtUSnJCj34sA/8SkCo3bZClu3660SvfT2o38gOfv3cIz+Lqu8VwdSoPSH+Fz/p6YqHAmPLV\niq5GKuo4kOJa1vlP/GM2w6O+Vi76Wrs+hcPKRjT271aeMWp3bFGnAU/94ry+Cr9u2hTwBpgg\nrbeM7tS/d9ifTA2NMIa/tw5pP712EcRNMV/jk8MydPsvvMIa/t4/pd0Ir4+ZF81v4HOLXL/6\nvQNjnlaL2wxuNzJBN1JBRQtSRIeyMZ9qEx2PLj+LP3A+wjLwLwHp63C3LCY/Y2ssuV1MiLZN\n9rND9vXw0FS+XK+kE38b+/blWDPEMlbxqZGLDtLhInOmqTmj2+hHoYaLjSHhKfy1gW+A7bPh\nGj41NOy1wNrYwBKhs/2FNEeSLmPWSMD9SHP5lDB3HUWCMZD2pNvSxa6nWKcMTcjityPdjfiJ\njLbpvwYkr5T7r5H08sPj63/26/zkz+ce/UqnwRC/O2TPvvbQduYr08jFX/19ruKhN/0W5nqF\nWi5+27BG6+mDJX6cn3z96LOsgVWGGFj9/eHDm3SrFGsl8A7ZPWs2+G+eG45GcfqV1e+xDRgD\nCR99/hE/ncX/yyBRuZD4SLIEchAZUC5JfKS6FIzER6pTQctFQDmf+EgqCSI+ElsuxIm+LAZB\n8i8NIJWp/24AqQEk3ABSA0gNIFFpAKlOkA79oOsq1AVS9T5dcDW9nC9IZ7/xzNZdLJB+/b6u\nfhFDwSu+XPy9hzEBq5XzAen373y8wLBBOrNH7f2uDmGAVPmtoQFDj+hAWvSNzqNqnaID6Ynd\nJ5gJ/cn/IZB2NQNI2Kw5WAdIr6cCFPhZr1wr5wnSHXaAgfJI2sUBaXdLgNgXjBnwC9KxUQgs\n1wccMQkepO/bAUTW7hVmgVR9gwXQyGOBLCmiB2mVG6CngXLQI1qQWpoA+texOlAnWpBCeeCv\n0q1EqkP+LSB5Ao1N4B5avF6Zj/37kcVP0Cc5Mq9j7+m3rLtzYXTr8T2bipppRf8gfWt3cVxY\nXB3DxrIEBVIMxylO3Z6wPPrLjnw5LMFFAelkRq9duQiSDBlgg3RyWhzPhbUrd64MpG8EpHmR\n9tieGzZdf+/3axevOZLf6bODS4R3/SlQkFohzjYwbYShB9CDlIpsNqs58jtj6gyQBOCjuhnV\nxnqQHDwI4dcwk7LlXwJSbaCx+HahuXTU9evY2Hbh6YfwBxa6G4cD6q6BbjGLOXHs5gETbxo9\ndJW8WcUPSP/cMShRsfdkgCsHAdIpxaJgyfm5/ZhkS+hVQP0eXASQrjZz4NnO2ZOto1FQ/Slz\n8dwA7x4mE3MmX6fgIwyQlFCTwIXQLyBwaGJmfO/eV9w9eNwmlgIBSdlMitATBu6fAZI3Nzjb\nXnvIiAEtSEpcTeM1mg4kOT8KRqY/PPIvAakm0Bg6ffajUFfL+8+26H8afxnpbObdJ1+zrSbE\nmlieBC0nhnWkrXQWSB9THe9uRgBznbOKRkEqo9dv6uMyl4ayfrO7zeTULLa/YJAkDwLKNih3\nYAM6kJpmJqtcX3FWgbMM3OtH3QBIs8EJtpo969SNg7y5UsxJRHHTumY00ezxXZFT8/bNE7W2\nWOIXJNKYd33L1lGJFiRljevL7MQsYYIEgZozPvIvAckr5cgiCOnu6ZIAhZ/8FJ5nS1Y5KaQu\n1M2h0sPiYsuxn0LXYiZIR0Erdc1KGgSpELgI8PVjgCAqBWK4LkNFzWKMCwbJ66iEZNws8s+C\ngAZ0ILV36V5BAi8wd1IqCvtUf+tBigcTF66xSG6T59zXAOQ+3BPUC7JX1DpMsQsfaI0xpA6Q\nABwb2Uq+ogVJuYFsdmKWsEF627iBfx1Ir/aMsofn5yLUNXR8i002vUs24Y7RmU1Oi9vxEJrl\nGSBlAR/vE/SP5MekOq5oECS6Zlh1G414cMv73AcJ6pT1BhLJqHEkv9a1EUgRHUjmVrq3lvI5\nimctqlcU9qn+1oPkhjhajqg+Bo27F+Z6QWqJft4iqJ2UrfBJaL494P37B4naudYivB3QgBYk\nkxwUUGAnZokeJMriVOMG/nUgVTe71Z7k/MuWOrYoZWGPfK0PHFIrXP+MM+Mo+uS3nKYPntSD\nFEMy394hzXw1OIl9MVmMgbQJxJaH6IZCry9sHgnQVXahMExzB/UAktcrbLwZQhBzC5JKdCBN\njVS/Mp60xKpDUkr96AcGKVfx3KB48hFk5yUITLwpvP0CuNH26haTf5C4KQHv3x9ISA6AdEPy\n2L4BDWhBSpdonK0gJiW1IFkkZIZgdr3+60AqiHPY8op/Q+ucbrsj6hFO5ZGNfqCBUbNzTG0S\n3rejVrHJ+rV2dP9s0mO8rwqqq59hCKRZ8ld9SZU7Y6kziGMEJM3W2QsGSVXuF+k9UupEBxKn\nqcfpOzgnpvmb5QwI0ipNLAv6p5u8ECE2rQ+6HX2+RaoDpDkB77+uph0P6ZMfCNxE09dI8rUN\nXNoj7KZdZ+MG/m0gcTd1FFKHODrnV/4Sn86v+l3X2rf/0waibChSQovxybKBOpDycGOAsVmq\nbDSvjisaAgmFitCG96kdFUdG84Xkr44lax79gkFSR7UrY+qoRAeSaYH2raGQQiT4Wz0dCKSf\nTLOU+FKaMLRRxK69oyXtzEqkzkU+ICGbkcmwuvpIrf+ecFlAA+w+UpmBS3uEDdJRZlqmXAqQ\npnhFf6ocbf+oCQ3W+uRHY10/rLBy2hAEAnD8oHs2fHWvPCTzbASjj+TxZVcb9Zq5o9ErRkDa\nDE/+ILvxudaLJpVW+/ATtMWTpk5cfzVS+IMt2mknoFmiAwkQaOoQIqLet2WNwj7V31qQngu/\nK63W54JvbWcRqBsa8pHU201W1Lrwysg0skCgDpASP7tZ0G6w04sWJKXM8/vEetGCpLy/A8y0\nTLkUID0SlqMFqTbQmADFW9/Z2o388x+Mj7676/SbjX0+3ZXV322TnVb/Qb1rsUHCj5CEnLdc\nd4ypeyeBQZAwXhlCnrGX90Zs8+Uzpzas6lPf80jeis/OTq4XHUhFFuBVrTvL0CVb/S+ZMQBS\nwYw2/RpxtXMQEHnt6gde+/j0n+98VXVw21rtPFINdqirv/3tKtGB5HVdiGJNkGQgi2pBcv9/\nARJeqJtc8AYaG8A1KZSJ8vyjSOPcPF7ILsgSuSY1xyxhTYqL7O7UaLWhGyzFxaEQnVdcXJhT\nnJ2VWRxIYjWrXIdFMBKBUFycBzz9NTM9P6M42+dcqIa8ooSA11SLVR1HGEupWfkIJRk3wKkn\nyvYDn4lSTFwOl1rYODu3uCivoG79PFB7hnmNU5/P52JQDMdHc9EouzilOLW4QPV1iovTLeon\nuMvKA5+SKiGUa+wJEjSrXCdxkBmTJUG6JiP4lQhN/68kIixHBEOqijhuUBsITQop5JBx/WIx\n2FWufiQokHau9nfmzzuWsGWsyZHqNF1ee6A8Pr9TVvKCJZom+A+C04bC/Bhhyna1gU9Yadoh\nyc1zk9kGvlQbeD2Yi1NZ9pPaQDvRLXAjgjCwQt2wqppvsofxXE5Sc6MGHlAvjz2+QnN+QFyC\nUxKdsfGd/RjQlMY/LRvrFExm3tbP6B1oPMt8ea3AhZhRrlH1JUs0ayqX8W4TampcfcntP6gN\n9BXcIuoThIE7glljW4fU02BDgzTI/9/SAFKDNEg9SANIDdIg9SANIDVIg9SDNIDUIA1SD9IA\nUoM0SD1IA0gN0iD1IA0gNUiDaGTrcVy9ru+QF4PRaQCpQRpEI6bd+GHH7MXRjwZOWiMNIDVI\ng2iEgNT8WYzfDWKnbgNIDdIgWiEgpX6P8V/BONxsAKlBGkQjprs+HbEK4yeygtBpAKlBGkQj\nV7aJgkT8vBDMwvAGkBqkQfRy7Ev8yWfBKNQTSNvU+6wNSDO1gdX6raEBZKTawJxg9eFmtYHL\ngtXnn1EbyAjWgEkdWfZISLAGHOqgQTtNgVXUkqF+gmf4wCpq6aU2cHOw+qDxDDEyWH1Os529\nWWAVtfDTcL1IPYG03hEDEGWbXVHxEnJVVFQMjXcCpK+u8CsLtDtkC/wm3RBFnrfRFvn3JDf5\nsRpmVlSMKlMbGNrL/8UqKqbS7autyC9ZNu+h9todslfVZcAjbak/krsqKtbBuIo0rafVWw0Y\n8BVJu0P2SWayJ/OBbll9pfbICuGFZn0riruCOhNskfxc6CoLzTKtX5gJD5O/QpK9x2/V7pBN\nC3TLc8lnTWuJAKUWV8xzPMelqw1MbB/woTt2qKiIHQUl5EWGAQia8rRsVEADNdIXkY+KNJ6m\nohYYN5Av0L3D1r2yqPdIyvJpYNeEtVJfIJmm/nJoIsx/+pUNAJ8fXNYC5h/5vm+aN9hP7gmQ\nAAAgAElEQVTbH1sfesYTh+/0u5upR9ogwrqkiasWhqDm5LdVrU0t6BH+qqBcFneXwlDOzqWA\ntmE8lfcePQ+XxT/GQ/5MkbOdIf3Rwf+rsC770qOi5rdCpuYPL3i6CuNft2z/59FUnLYaz2kP\naifXLN/fx998bFFXLklqH5eQ2/8q+eFbh/lTqCusyze3zHz86yf42c+1N/G3oTmmVngX/BGW\nqE5UR1iXc/9df9N1O78YHznj4EvcjULsezuAH/RnKVL7dQgmrEtLiLZaJI2bTz9hXY7MHv6q\n7mAEZETWegjZpTv/kjY6el1SXyBZq/H+pirnHUPPnLRUKGcfsVOfb30oVh824q3iDcGAdBJu\nkduNbU/JLZfbMf4AnggCpJPy3RTgX0AkDZHCGhdfwYM0xPto1+JvYNn/CKSZPNS+1JDdKywW\nIf4+4VDPCbhsvLZG0oP0cmTtBzFzDwINch5a4E+hDpBGKDY8fikQRJjxwxG/6GokvyB9W1Dj\njAJRB3tJ60TyM2dCstpdfzAg5Snm1AfZIN1CL56oPerxdKWEgQjC8RBT6gskJynpygRuAFip\n86cQFA2h83CqEkf6I7G48Jv59uQpJFcnjjyON5qeCwKknRAOsXgCbQkMwdcBLJ9lDq0MAiQE\nLpwA8DvOhdAH2kDNlwoapEOkV0NytZU0bObbbCf/NyA9Yr/NSl2XxNLce6M1THiq+uTkyJYF\nN/B5lvkaf2V6kA44+kGy4vkkEizwhds86+5M2OxPwT9IqyGpya4IMNkA4qg1kx1KbCPzGxWo\nk/kFqbqoI5+60QowfSGApSdADkLm1wWUnKf2fhkMSG6A8dchIyD9jGzf4qHQQ3OYAH3LlVoS\nqVSt7LP0T1L59zF+M/UGkuXoYbgPDbOB1IyALvUrNqenf8d/JJ9c1M5cgauTJ0RjvF36hxwY\nPywIkKpIxsW4xKL4pR9KMlQGdc9uGCT6pq5BpEr6BiGQZtYcDxqk/rAqHTJ4uILcQvLn/6OI\nfT1mHSSvE8TutErpeCdQ56Xn3GvHOHkr54avVWn1ID2S2t4VYuPMYIPW0BH2fJuBwP6AXwX/\nILUIM72JI7kkgpCVvEaurQUk3jnmJqMR+/bCDXAEh0NGct9+gELakKfpC2OLO4qRat9uwYCE\nSOEAohGQZstv1m3VHCYFPi1k9Omvj1vUrkMl+SDGb6beQDIXXg8O1DGOi5pn4SHsIzOSzEmX\nKeE1JvaHL8i3uFKqxM9G0AOLOgbTRxoMUJ4PpC7iptIvMpwcqihISG+jTsUG6cPieIphFwT8\nFTbpV19vI0GDlAOHXgYJ0df/OF7QqFHU/wKkpsvwGNocot1i0TkKhi5plt7UecUZTP4XyB3X\nwTtbRITahBC5dceTPDdk7Wl8vA4F/yClJ8OXZ0VzU9nZJHkFIuL3ngki9OX7aBr3/TITKrBE\nNiMthGqTAAkuSHSBqHZeEhxIHNJxwASpv5woWetSHFgGqCR8iM91ufXSgBQ5KbymBUx/0oHU\nkR4fgw/GJtyEf7D0bYbx9+g9jM8WzQkGJFIlca5b5NwQgfPhK1KjkUwFaJ8qFROkRTQhvKnc\nUqY61lnQID0CSV5//DgWeF4bueWigDShtOqMiDzxNHivc3Ep5whDQcPFK7ZYJBME3v5Np4jM\n3+pQqAOkQXzsLTiNNBNrBFleCAKk4+JiEPJFSiBRvb+CQ7I/ZvIkp1TpggHJariP9CxcTW6B\n02Q5r2tchmVS2nwf9dslASl6v4R4jpbXytvmeMnhzWinC2O4PEe0sI38Xu6cubRp7G9BBWN+\nDGRf8LfLuSKSvBKIPoevgBhVIrbLYtc/npkFlAX3q88FP9jAy71+G3n/M2AyxuGaAaOLAtKB\nsNa3t/bkXT6Z1CrIUWACa8oVDAU1F6fCr7EsQL4+2C/Hx0pG+leoC6QjZgFFko9bWGOMywo5\nFkQw5qUmBA4anymalgcih3JoNYtaIfU8UDAgtZFHPQwNNkRCVBYHOzRHbXLRxCCg5MYqjBf0\n2H1JQFrnatIlPskqcmApIS0AYcCXC2scXv69MC8ifrDswqzqkS4lVx8OMqr5fTQ3HMd3EZxK\nyJ8r4GPSjrWpXa2zQNoKNBQTneekwV1y1CfPY/ibVroc8KkQS1sJRTb12YszandgYvPuSTbZ\nWaopdjapCKD1fXxmaTJDQc3Fh9y6sJX53RxIaRlyMJgcfCrOv0Kdo3YHWlrFkExHcQY1Z7KI\nkB8hvR1MVPMFQrhJJIWQkBwRzYfBHFxGSoVtk0IjVamCAUlURlHUB9kgnSsT+bAK7VElSgGD\ngPejXPvxqR6uSwLSPNFkd0fwtEPfqgug8J53Lq75zj9O7dB/UFnj4oHP4L2T2zVv02P5GUMg\nlZL3lEr+PdAmDMnFP8SSH0sEECYFAukJJZTJ3eTXTiBP2oFmCWLQIA2gn83+Ff7KQixXEpA0\nvonrC6QTN3Xpv+LqjsMfHBzvMnG8vaSt05Ew3NFC3EJalwSkH7CQ6UZi0m7/IO3Is4u08OGE\ndBEJlpABT3Jj4Cly4ulotoIifkB6fWjH6UujBZ5GE+TEkGho7BYg28pFNm6rKZyYIB0o7zBi\nfiMLSk0PtQpIIjckdICpjSSIgoOTwsJVaYMBSWBx4GceKZ1kS507dr8g4ePb/yZl/tabjN9M\n/Q1/83QERan05fvrGyl646bscbS+WkI2F9fWMtbaLsOELotpt84ASKmyORs+IJpaWyhD3WEK\nxpPkgqh0KkSoEqtBesPbAjmMfybV90qMm8NytfVgQWrhebpX5BYmj3H0xWna/ZOXOv9yFLW4\nFATJ+0K5CDNyo10PcSTzoDEzae0Uj9B2fyBt9Ik/4SJA2a8QYSp3ZTU+VTaEqeARNkh3i6MW\nhdf64KcBgRGp4gRIFZ3cHlVSFkjfOFstzqaTBuCzjAyBixzgQ3uhrqrEwYDU1HAfCZvkmJFa\nkjwvqZMsvX5iKRqXelvZ0EYb24evmeXo26d6ROeu3ImHxByIW21bHoNsQm8DIJGXdK5UsSbN\n4ugXdOLV5GtE95WPfaVKrAYJQRrUrDyTA1KAug0RLEhf0D57sTfihEUCTtJ6y68nkFYkHcOD\nW3E7E+M5O524qmGCE8DjDR8BV3D9bpTkD6SIeHORNq6FeJMjZ2BC4s9MBY8wQTpuegKv90wK\nq2y6y19BDvVUCwuk/k1iJbABjfIs+apTIE0gHlMlDgYk3jBIK8DKIxto49Z5PuZcWa69QNfF\n9QWS6I3Co9wdEsHadpbnZNxTOOOhDvD1JLgSJZvjzQgaI+RSG2CA9A/JqUnyy6c2JyHRPgQ/\nS34XQVznhvA6h7/pBKTns5Ncl0Teuc7/f3AgKXdxhfyTo3OSfEzYxRn+pveVsiZjGaSSQn8S\nUuW8aMSTtl0EDyuWJnSPlPyBxE2BXqpML0riUvzLkin3nmAreIQJ0n/4U+/xnEUTQJPj4ZaC\nbFd4rCotC6RQSOxBFAQeqS0A6b3FS4PViYMb/jYKUjZASlNRN6wALAPnK/UFEoKUMhrVSin9\noRS4lKRbPSdz78ElS3rCTgTfoJmNoNEIdDTCpYnKxqyRxG9hoAzSp8BxsBTTgZa/IG8qXDcE\nppWpE2tBskC5nPt4OSRpO9D43A8SpKZwmZwNODl45NaPAJperAnZyYMwbnJH5FNCFmlB3idX\nq+QZEuWIK80n/CrkJpnt8A/eZ7La/YEkDUdDwQVh8i2bSbvGcY/cW9SKIZC+hkPtOwtCLQWk\nfiEtuyT46ni8EN5YlZYFkhCGD0EMXGmKJUWgGZnCgM7EmaEVn4+WRGrCugQHUkuME42AlAMk\nc5xhgPQcjQNj/Ip1SX2BRN5vpFmZGqB9pFiIa8N593Ncm/D1LZHp3HVC7hRbymXAF7Z/mHfC\nYZUBdtMuBcaT1+6CZQLpJ9BGLHKQ9u5dkIS4ulc2WOV4qTTnNyJIYfw79NdaDwokM2Cfhs3I\nvwA2XSyQtogv4cV2x68d5SUEoUr5j1A4ebcR4lM4QZgFHSHyCCnpu/kDqZkQaa5pHcSQmqBN\nK/4exg0YAqkqa5B7jdnn6fNRGG19xHQ7nCWI16rSskBC9q8OkKKgiMbcpP+jPyzkf9EgoKgS\ngyBV/qA/Rgz9iA0NNrQH7qujZQyQxL+/+7fVSJy2TW7hu3lPnulH2iP0vDlmaw9KmtvaOx6d\nVRlggbTO2zCRM4RcpIoC3iX/tS7AEiFv+elyk1xI14ot0VoPCqQo2PMfz83IrX06nn6xlgjd\nJEY6TCheNPu2hFA8+XGNiY+H8HdQB1q8QJjfUbu/otTfAnEOszoWk0bBI+zBhs8boRB1o4x+\n6gKeVlKuM6qkLJCs0cgJGkE8L3M+fIIhkI40IdccqT1qvGk3X0mpma74dzbtrMA3k0RAdlIR\ncLQBVMiv/dt79kx2+h3rOojhWWtfvEWKdDpvetIeovmGDJAOLXwsEaCJ0jqBUHltS0fIOvQi\nB91PsdfaVe3YQmfK997xEPIMNThIR8P8+EIElVrzQYF0A2nLyQWqZRWd3BVg4UVca7f/6Zf/\n+vyJN76fD+6e+QIIESTLRNGx56ihrjRY1qRMXPHZoATn70yQTm1988sD+DLR6VYi5tL/wqy9\nEtWxmHwUfMTP8PfpMfY5ZoSQd40ET0Eo/+zRbsKYgPNIZ3d3QqVWG2GZ9JUkiEWJIRTsWPKf\nzT1eF7GPDVKWkOPIg3LN0Zb04QzVSIdJvpTs0FFzmLwhOl/NumLwUm/zSC20pQ65y2s8uXe7\n6UjVXNWQDRRrBtH0IGXVFH6eUmwCPSqvPaYrT1kgrSMVHz//TCxNs6eJ6nrXas0HBZL3LmaF\nen6h+9Eu7qLVPYwXKr8G6Pr7424eUnYwJ2Rv5JXiA0C1Xdb8LOsGDIL0YY7uLtKfTgQu7OmA\nE7LPRNHeqlcaqb9J7iljIP2uJHdojysrv9THmCB9rox1XqE5fD0wDJyv1BtIeLBD6D0VhTln\nc5aFdyCBn5wDLs9rebjRh+NCCgn9dHkNeritGL8n4IRsf4jZdB2CPTd6anCeg5V43/QJTw6Z\nKReuDJD284nbPm8LcTDoYyfYuMS+JFO5wq0gxebYQ6o09oMBSZIjgUOMC9ZAr5U/TFTC215U\nkE5l97iDTxLIZSVKhI2+hYIhHBJfpsFdj7//yRnmyoYt0JifnEQSP/OASFDyjP702dgr4yTW\nizGQ/ogZ2QXJy2ZBXmAR7kqQ4v88/fH7JwKubPhQvPXwt72JTrygLMdx8RnEijXUJCQvWhp+\nszGQNhIVM2stz/M2c8p16kNMkB4AsNt5MGkOJwAnSv+6GqnSMraw+v7I1OSlkHpngfzSueRk\n5exjCHmi9NKfQ06H8jsCgiTR3ZxPQ3NlK5nVgcCdKe/oL1POM0CajShiIZCPcQcBuFMHfKLd\nX9ConXfo9zjpqdTGRr6oIG0z/d25fWY/b3FOSyCldi7xo4BlLjraJw7ApyABzcCjoJ03NDIM\nP2F+g3EDxkB6KuZXVRepyzZUErFBPhUIpGk9Md1ZmeGZQUIws+vgQnksKok8WZNGxkCa4bkw\n6+a0wZj9jNoxDXjG45V959t1JW1wUm8gvQplffG8pkLW6AG2PFL4LOiRJZqEc/TkmfSwLGXF\nDumwSCA+l2Tqf0cgkJCY0ah4oHfPLckSfLQDYg8dLwBlVJ0BUl8Lxt/2s9CNFh8gECdLRJWn\nfVK8Q9JHyjYE0i+zRz85nvbzQSJfI5YDn51sWpCQM2Si52sc8wbb3UIvMpwkHNYP49WXPSE3\n00fsIOcrxvkFac/Ka+5emogz73BZPWukPatFw5LIH4/qFbwXM22IiSvruf5nCLeb7xkEnoxC\nG3sbGz3CeDoDIH2w8qrihFbgnQmmP91z4Z5my+SzgUDqN+2VK6Z/6tM+bzYiTUShWY1Js+GT\nT6L4akMgRdIL++nMGALJyTYAED/nau+dCV8yFIOQ+gLJJvAi/+5yjuP51lY6QHf/z8ChPPnk\nx9x40ArS7LLSgrTRJ61naYnFjiiXQpKcgAHSEvh0nmz7jLeH5akEMZ4AunVTRkB6gEOC1448\n9OT2mYjX10j7Gz2v/HrQW2/IID04CFenxFXiccuP/kgPjthBzvsH6VqOCvqurwW0Qpf7tNAp\neGULH0569aZogbBjd6nedhH/of7pAoN0th/P8O4UJR20KYOAgUBaaANRZcCJQmIgWloOLYST\nuIdkrEa6xqPMOGUMpEi2AWU8/l/WtLN8fY/FJLpASrrd7M7uBxxfRG7ycfnkK2YBVCutwDzZ\nBBtUBrQgid61WTabt12BEmXfHVZldwYDpDMuCUwuvjHwlyWD1buahsj03hzdkaIWAyD9xecc\nd3qNyBnZdzsPo2k36RZ8W0r2vbivfV7l6Ji85QpIe+LxF127v48bf1Qx7tTopPbtd5DzFb17\nI/X6Gg8XL0vWGypvtHKRyZqVAEombpSuVaiRLdK5Z8lbowhZwn2VTMD3rNY9nQGQbooJ4QZp\nPa0J5v7ZbZRhpEAgTYWI3Ajfp1B2dbhcgNo+dw0vGauRegFrnbcihkCKYBsIIV0G078NpDBc\nvZY0fkKy4xPbxtpMdN0/RHhG5n4CB+krCr4fg0fcaJUBDUgHwOXZtwVTcj2/hI2CjRh/4ekl\nsEbt9scAl7id7vhSPpj3E3KmGLpHVy0GQHoEft3ve9dI5UdOD9K3KS9t63HiSP5OUuPsHFR5\nJFIBqTrq4J23r7jxqKuyYtzKwed2c3KNZPvNHKLS93AxqXVUNVFpUcSpObLKL/AdfpBWoUYI\nF/Na2kljWDCpVRHEsEa/A4PUciLHpWo4QlJI6tWehWmBQMoUGIWBaLaYIb8ovFWPVsZqpLYe\nRdYjGAJJYBtopGQOltngpb5AoqvhT/FAJ6CfF9s5izgrV8g/5zmbgXhvsSa/VxuQ5kc3lQEN\nSDs8o7eUhxgAah1c5yRIyUTcITkFcx5pEhzHS02ANjeHJJut5np5EZCiu2UDIC2BM3ILye65\n+dWqs7o+kjtyWtWi1JKSzOdp0+6XF2cJCkh48IZen3zZtqIbac8Nfgvj5jJIvbA5T6Xv4WJ4\naRret8iZOoCCFOp5abSrZKfPIpmOaBVqhHAxeXB5/6TmkpnuZvFpAyD2hoBAIO0Nz4BG72hQ\nEL+vTRAIJBtMG8P5rrF7Cw8Q0TUzHT2EK+4aIOwwBlLshYLEsQ20BqlH6b8NJDup6x+2RN9I\nyt8+3Nt7x2a6Ue9t3rNzQFswkZZHb5UBbdMOvBzJilvo25yED6XzXJxn0TcTpI+hS3tZkedX\nQmcPSGHAiV3P6W7ZAEjfwNRa+kFcoz7LHLVbsBLjo6cJKNuarN6T4AHpvqnJVdVJc24jIA19\nE+MW3j4SE6S7o7iVlhzE+8y7ueWfaXT8uGS/TqFGCBdrQ+OTzd6JU6f3rXPSW7pn8yioRAPS\nVnMEaYM1qr0Pno42+DqiCwySQ7kZrxsv/GvUksjYTmuqK3rn052ehkC64kJBsrINlJkKbS7k\nZJkNXuptG0XjGQP4Bzfy3Wc2cwp0T+/bJs/qkX3lXWJtvhwhpaJROzesAen5nkmNRn+Ka9Ly\nsH2LsgNLfUUtSEOKewzd5PF1lkwXqjbyXHNFZ/YzBgbpr0WhPrd9THuaCdLWpieOJB88WIwX\nLq6u4Cu3TKzcXY2/dA7AeJTzPULPfQMqadOumA3S8Zt6DnmqqR1EJBWCr/Ceh7lVo6AysIUf\nXW7irNZa9j0vkR/OfAMskN4a2W32r8pf1XHzflYNWRBLNrWXYxZIB6/pOuZ9z9+hvndCIBSm\nRrc+29anejQE0uggQIro3OVKnatHP4MN48Jjpo7Tba85T6k35yeLeo57B+NPJ/Wc/VOrYedw\n5cAy5cwXtrbzBW54LGlncMWecRIzHdRWh0PzgjRX4hNCbfwijxOVZvIOxgpSrGmfVwvSIPfc\nMdL1uAPJdIX0899edRVduInWHBK0a6wUCQjSkaQEVJsRGukMMEGqXpyStBafyZ++uzRpwuXT\nt0z8HSpxdfj9GD9pOUPoOT06vv3lO8h5FkhfZaXNGW+ZVgy2GHd6rdsSJHLz7nPzvJixUaOw\nT/X3Funyvrdle510hsjvmhNI5u/hZ45ED9J9wvB5RZHKHrcf4McDbu+6IHkduTuU51R1GwOk\nb5wt5w/g1yt/J9a+P9LWjA9FHe4684HkM6VnCKR5QYAUkrugu6CdM4tjG3g8ZGH/YSiJZTZ4\nqb+VDbWyy505PCPM43Ot81Bc7R4ei3EJRNGPIn9lQpWkdiHrAWkvVzAKn8wsjYYc7FlPciX7\niroaiaTbzP+0Geid0AFgngPXFOBI+azbrC9LQJBmF8R5GxUkUx/BWqn/CdmZ6ccx3o442I2P\nxgAX6WkW5UP08Cz35zp95lq7KC4y0duSsoMDkKR3MapS8JEVBebHMD5XOlb+6yf4bnT71cin\nRomVkPqlMUDq06ca4ztCFXRpyRmiVIoA/WKyRpou6yVO9VEwBNKyIECKJE27Wdq4Ro3ZBqr7\n2Pp3pXsx6kMuBkj496UTb//D83sIKUUHNoUD/5Sifj0tCGWJEWCOtsTyTJCeibKR43Pbklf/\nDXXoxoVpQj7UCKuPVB2ycSdV3AxwppnFPhjjl1LdBXvZBgKC1G4WzDWDQDsolvb/6A3UP0id\nZtB/3dF5w8/gYYASl5AcwLWZsPA/t09c8ptenwmSk49wOxGQzg0Mu3v7vDaNCuf7vQEdSBkc\nfc57PZuMskdm3/97OCn12kQRmmZ9PqSg2ytqBQZIsevIvz+DvIgKl4gSNKaenqM7hliueuAU\nfmX6TJWzb0MgPUI55I33kT5BGv/DQ0mfGZn0q+qqn7t6DooslqUFY6NGMHJRQPKVJFLGHUqG\nlpGJM/kCG0JFEm3x53KewTeveEDaao0hH2JCZ0FpnrhZFhVhgXRK2n7YU4EEvuWAIPWZwi1o\nJFcKWheditQ/SP1pVXDO4vo0OqaN1wGGbmmTr8I+1d8yF6kOzjP4vSzgDehAygb6VW5urfz5\nSZSU7GgiKtVboU4bM0HKpl7PvgKF+ytTkfIhbZywTa9uEKQdnhqRZYAF0ptm9RYdvFIxoPbf\n5hHUaoksK3w2D1/CqOb+QZqasRf/0a7xjY+fxLtWdAt79o5JyLny3q6C2nuMF6SjkbnZ+9+2\nZHftUhxlSUjzH2FCB9Lgvvj0pNgT2O2IsMSKeUwdlQQE6WFn05aWEhMn8O8wDdQ/SPdb3sBn\nZ4a6Fh5Zc7lQWNI6KjV6TB36TJCmQ2tb/0iwWgwsedH3kTKHnMCfRy71/H10gP3Oc8Nt7nap\ndva6cAZIc5K/wX919yy/2GQaYG6bIHV2tJukbxpTMbaNghPDLFEQyzqlBYn0Rg+36KtJ9Csf\nHWpNRuOYtrW7M/AljWruH6QTnYRkU96Pyh+Vg7kka5gUHeYo97PW7s0Iuk648KeDBVKy0J45\njaiIDiSU4IjZgfH7pDUGob8GvuWAIFVfxdFqQZL8FO0XYdHqHD7eFfH6y6EhscLigG/Aj1+7\n5rID06RPDNyAHqTPUqyJ3PCauYLKIVyixSwkS00Pa3VlYYB0qiefbM76znNgoWADzhL/gb87\nMAbSWtmZHqNxqwfJzbNu9l6ONA7ZhasfkC5VVHM/IB396h984LlH3/j+B+8KlU/XvHbqx/XP\n/up39ffRl67p8xj5kufeXKOOR6cRXdNuyOMvyzsJTy0b9xBTY9tqVa5kgnT0Ad9v/vWaW5bd\nun4/ZsvFWP397ZMbj+JzHy+etzvwG/DnIHLrpPErXtXumjj11V/4wCZNtcAY/v5ny6L7P69d\n4U6/1z871rztZ9hPB9LQb3/8+vU1mz6vedPfP3X3/ZtPaPVqRAfS3Ps+ZiQ7Oq70OrYBXdNu\n+sgnGDf7y+KJOrd2ivgB6VJFNWeC9PcoBFIk6WkmAqS9rT7nF6QzNPST6wAOJEEEGpPlSdrU\n7+RzgAVSCR1R9PPGdXKxtlG8SGdfuLmB9QM50a+V6hssdPMyQJuquhQISE/RlbJohG7SjC06\nkOQ5rCQB+KtOGzKgBYnuvzHVXXyoRQsSXc7iPsRMyhYmSJcuqvn66C+3ekvuPa/J42TVHzSN\nuWttiDj8TTO/8LHRIeqC3S9IadB/oU3rMo4hQYF0T0wjJN69NRtm1B5jgDQcittbEc8YoWPJ\nRQJpp4ikgjhJdoxatxgB6ZtR3WY99Ott1iW/RKKcr6ajvnUprCj6nndyrhBI8O96WCU6kBK4\nZqEin/jzlviZbA2NaEHKd4REc1r/c3WJDqRQZ6zGdWjdwgLpEkY1X28FExpLlwT/2Q1MMPQ0\n/kneyEDX+FBvA4gLUzs69QsSKpZX2WnGIvQSDEiCd8zG4uNNjwGSRfZrApr4vv7k4oB0yu2Z\n9AjXeZnQigGQunhmgARwAg/d/+5lrkthRVG5MuBn5v23xnxFB5Ln3h2frg9lLTfXiRYkZVmd\nPkqlX9GCpAwS6heE+RUWSPjSRTVfb9+L34u+jvw2JH83/ihpJi7hRkGxhGy8xIGtWa9osYym\n+/XZp5Txen8gnaPe2Lr3ALgqwBWDACkOxH1pQGujeBF//OirSiQRBkjkK7jm5BldWH9xQKJr\nBemaU+ACungLDNITpFDrHAUIBjYV4GVIuWI2PL7bv8KKosakaduflju7sRHRgYRo/BkEFuf1\nYCiWpBakBKkN+VKzDV1cFi1IorNtNACrn+VH/IAUtNRnH+nebIzPmug6gscSfofcB0FwABdv\nyQAUIvA2usZmvSM8TpQHV/3XSJ5CLVD9HgRIhAx5icLAc0JEfyHZliovxmKA5PAsy7nMUGl6\ncUAye5fVaZ3+6yUwSBnQ3kmen5M3Gluk560CSuSv8auwosjhXcZw0NATsGokevs2cKPOLC8R\nWtGCpGwK78ZOzBItSBb5+kF0krjuG2R54Yzu1CWJah5+15L3XgzBe26W2/YVpi13HZUAACAA\nSURBVM+hR6Fooeu9TAjQTbPBlozxD5Zl1fhZgU7LMEG6LzdrEfmUbvnDB7hiUCBthiJlmd+g\n2K/x8QE5FBQ2SIg6AhUfNvLM9Q/Sd0/f8Ki8xpAzNKkcGKQwlBuPFdeWxCzXD+A6vN26zp/C\niiIbePaT6/xpMsU/SNJt6bqtlAzRgpQqX12/58WvaEGS5OuzvGH6Ec7iliV6j+7UJYlqLuWX\n8Nnt7xPzJY40yqY1Pys5zbXLtMAOsQMwfjiNpu1GB6RYIDWW9+N5lNirCWolCJA4KPOunCym\nc0I/At1SowdJmcJPBJimndFjSv2DlBZaGu2zM3u1H71ahX2qv/UgdYBW3L5uPkvBF5ODVw73\np7CiKMGbEK008gT++kgIHsOPpBowoAVJWW0+lZ2YJVqQlEcNIkR59HrjaeuSegNp8j1lUMjf\ngp/ihfFDucvmDUHewk0uX03coGV3t4yhm4nkHMwA6W4IEQVrzVeXmtfZ2zYK0mY759nZ45bb\n78ia+AD6BDNAyvZmIv56httXvdQ/SNFj713iu//BOmJA816P+H0NgUE65bupjv4WabE6nM4e\nvea8x1JYkV+T2iIa6SX5AwnQJvxCqAEDWpCUnUOz2IlZwgbpK2ZapjBBOnzn5EGTVhiY1a+V\n+gLJ3TU7RIqyCI/j12NCQ0OG+GwHU8Q1SOTbImE9PhxBV14wQCrSbv/j6yLJIEhzfdbxe7aM\nIhDoJIcOpJq64Is8A5M4FwOk1GFqL5qUfs7S/JQffQOjdlcy3D7Qoi2RX8pQWFHrVBKFrTLw\nBH5BApgxsLsBA1qQlPXuTQ1oeoQNUhAzUSyQ3jC3nnLtlDIbc3mgH6m/wYZrMwe1zr7HdhRf\n3izpt7088nUGTj6QMC2nxeWXm6Wp4dHdr/lRDxJpCULbZfHjaj82kv2Z+hNjIN1ICuFXT8p3\nUqi8Y7k7e3x2cnTMaHXSmgoJklL/YtnSSv2DNDeFXj7eJ8ejmPlizM1+9AODtAzFkNfIy+6I\nwpQiBdE1w325LLSsvEdPjcvEFbXYSchIYeIfJHLViX+wlXxFC5KyqT/JwKU9ogVJIfEF4wZY\nIOU/Jv+zyX8kUL3U28Y+XDrDfavwmumtve7COfhJJ6oNp02Fh8ZL1yZVPYQac91mt7Lv0oFE\nwy2Il81wez6DjJKljisaAqk3UHdQjwwGiAVeGZHq44LFkAAZTZAmWnxszb1mGmti1z9ISpWp\naoyJrrD2Xf3oBwRprmCiY4AmuZ5zKxYRMvOxoqWNGRrNLoKPVOlX+CJ8ISDRRxiWFxN48IwN\nksBOzBJ2jTTNuAEWSA6lUXemjs0HOqm3reY9I6XeVQsF1MHe67Lp+BnqnDHB57vwUHjzw2k0\nRvt1GFcP7qwDqYR6R0K18NGZFPbWVkWMgHQOMiD7nMl0WU32JF2kAnga4F6M+2jGBXNq3MgN\n1ltiSf2DxMnBWFSO4MSvuYJefvQDgfQdNwC1E0k/NaLGXDxnRibBZi2+Q8wV/9girFMp+NRI\ncEFNO0TaIIcqW00IaIA92BDE0gY2SIF3kNQIC6ROU+iqzZPXdjZupt5ACp1RErYfV19uHv90\n9cqI7w7S4bdt9JmUZreAzAsTsidVzQmHb0nyTU5GH2mMkoe8M/vka9T1IEZAWgebEbzbg0Lk\niuBriuUwucgbpllIUuhUgDfcVa1/kCYm0x32NS7pJBru8gVkucuPfiCQ1sXOQM05O6AIT0Fi\nUmKPcVAgzIWnLa9vkfyCJF3QYAMd4/gV350f0IAWJCV+zAUMfwvy8Mrjxg2wQPqx0JTbKs/S\nJPCKz1qpvz7SmU6W0jQ73UJ57jJTG1UsBDn3thW4Vo2cGznamngigTX8Lbe9UHbN16xzBNwI\nSB/AylWypWnyaJDgiZMDzVEVAUntVQ4XpnnO+t0RopH6B8keo31rNHBJrr8FL4FA2ux8IALp\nhi9kiZKsT/P/1YFkq0nA+6NXJXUMNsApfGNpQANakJQZCH9tWYawaySd+xP/why1q/54/X1P\n7zQ0Le+VegLpWebnqkvi1AZuCtqAJtrN5UEb0Dx6RtD6mqkWe2ANjaidSRwMWl+z/qAiaH1e\nDdLKoA1oxtemBG3gcrUBrTfKwKLx2McuN+oSZsCb4KWeQDr9ZoVaXh/YLtVsi7OF2k2iyd5k\nWM2JJ9t3Htahy6YKzQbOvxxup6m4oqKbyR4mcvHZkcmvVNQtmj32P7PSzDVbw822p5U/yk3k\nD/tz9NdREUmZEZpozivN8iZ4vl+A69aKZtPdZ4YVPfKWpqp5KTYqjBcSIjKbxyYnprYr7dw0\nMqln6Vz/BjSjvOfe0py/rbQoweWMyyudV/F8x1ZJ4bbolNI+W+WPM6RTZNPhnbqrhwOOD2ov\nlwYoaq3BR/hWfQe/vsojgQNT4zBz26Ht6aUCyc9qA7IfwXSDF5dFM8Aqj70ODEL/TWP7PQJK\nPYHUIA3y/7c0gNQgDVIP0gBSgzRIPUgDSA3SIPUgDSA1SIPUgzSA1CANUg/SAFKDNEg9SANI\nDdIg9SANIDVIg9SDNIDUIA1SD9IAUoM0SD1IA0gN0iD1IA0gNUiD1IPUE0jV+/cGKX+qDZz7\nIVgDGqe6p4LV36vxCPh3sPr7NFEP/gjWgHbf2KFgDWi3ch8I1oDGq0LVvmAN/K02cCZY/b0a\nxy4ngtX/QbOC/s9gDewPateRf7lAkP4onyBLu6C3gWi8ni0LrKGRHmoD4wJraGSG2kDroA1o\noseEBW3gNpX+YT6whlp4dSCgHUHfQJj6CR4K2kBrtYEZQRvQBP/qEbQBjSfL4Dc0GfIYFVgu\nEKSfhw6SJQ3JeL+Y77TBwJdGl+anBSgIVup8NhgqPwb0mtGhiR2s8/ZOK1MbGDpck3R3c7Mp\nc2ft3x/B8oFlV04q8P7dW+uOa6GhO9g7tmUox2c6H9ybo90huyaQ6s0u0XWz/NvwLrM69hK7\nqPT3wXZjd+CV7dodsqbac6+PKB2xtF+7q67r0XnhHu/BddLK3h1m9Bjo/XuN1h1XjrELrzbl\nTHurjQ3iSxqrDUzsHVC326Dy9n0XoxSnM2s9eQ/a+EjTjD/+7bEpPCdpgoFFrTRuYGLTcI7n\nNdvSzlfqqWlXzuGzz98+D5mQCVyo+bwi2FS3gl/f33VLh9CERjTABYwMuNXcBqGRwNPNd6/f\n8dgRjD8FfuCcZraajeQBI/b5kV7UoQGg+4Peal51GfCxolIR9gxLnTkOclTntTvHA0odW83f\nkTrPz4DOs0NQi3Zhbb3+AdfZzVfMSgvrwFCQZYUx/1PXS2homhwcVuLVO/smBg4H0ywkZ3Yz\nQCAhG2wwGLGPLbcgEEXtPueoIEKxDCQPIBgJN2xE6g2kQzmuEsSbHz7NQfhoPDI9vm6F8wSp\nJS8iwurr8SgQSOVwH8bboC0+3cXSNDbsHXwcxpK+XGxNRN7zBckESfl8NgwNFqSjzUCIiNsV\nJjsv6iARtMVIVYL6BKmwHB+VOhe9LaCQAt7ymOfoa9QL8jFza4aCLMZA+ol/JXdBFiAndAFr\nP9UpAyDl2/9ow9tA/HhuerL7gkAqAT4rH10ASCHAF6VrDZyv1BtIA1r/dQJFwAl8FSTHDJFe\ngJ/qVDhPkLJRUyi0wSP3wRVl6jNakLLlDGt14+sT9uPKyfFnd4F17urBwoWCtAugxQPjEOnj\nBQnSxCyYd2pQ4Wygu6t72tqsuhWlqRLUI0j/8P/B28Vt/DQ0vAl+g/MGfHrGHHnzqjJrR72C\nIsZAeslV/TIPZhCvlZBDHSHZSI1kTo4SbFCQ/hnMhaoLASkUIpffa7kAkHjIuv92jhksPXgJ\nCiT/LpHLOdfL+BzfhHzaNcCh+M0fcn8zktXKeYKUmDEanEuhayjEaxzYaEFqQV/QOV4IcdDA\n4H+iTw/A8rbpfWcVeBOcJ0h3I/7K7OIUEGNDNR89AEipD8NI/BU0htD2/8FjB1yR1VRQe8up\nR5Cq7K/iz9EQTuLGknZcuCfGON5qXdosc8ywOpzoG7nsdmleIzNp2T2Iu4NT3ToNDNKeaDNn\nFYbAFFgvTeIvqEYKhUJJsGg4CAYkAaUKkhgo7IlBCQYkhkvkqrcVFxJ9OUvFpnGhCPp/JgDX\nuzSxbQe/ZmQ5T5CKxO0hqBcyIxSL/qs6owVpHeScw+kQ29LKbcX4JP8+LuxzDO+OX+hNcJ4g\nLXFCe3wYILu1qZH6TACQYtZbuYofALiWRaZPnzdX4EpB7a6qPpt2g5v9ctbOFbYGaH/qaTTQ\nc/SviOln8TbreoaCLMZAOm6231HMgb3XYTeI6jGvQCBV3WUOMbmjo0M5JxS1MuVcEEi9gG/T\nmruAGikOrK1aGQ0rF0iCMcNwifxVjfujsixTn7ayH0Jk5RNR7I912woepG9Wr33hvhEOTnEt\nnO/i1OPfusEGOeojKmzn5DLvXz7A/APenW5J5vvWzB6dH0hVVynBLbi2bXmn+lQAkAZ0eVce\n347PiLI0XT2BTwhBaqfe9QnS7yVSktwVB+AF0/h1dJz89MZ7l0W6ErgZLAVZjIH0ihxRUPYH\ni5xqHzx1gvTH0/e3M9nbCCCByFM/jq4HHhhwASDdqmQ89cFgQOov61+Cpl0dLpHLuZcglJcQ\nRNCIsaKjyfgAtoIG6SYh1QJxIZKraREHJndjjlPnY72DyB29W4PL1ZjcFMn6Dsez+PRrj/r4\nuj4vkA44gAdkQ0hMTkYa1+QBQNofmdE3ivreNhEMGwnTn3jRxI5qbljqchBZtW2W8Cma2ZxG\n1kGZ0a6N+Ns0Z2NTi6cf38NWoGIIpEW0OCAgWZCYc43WQWQdIL0WGhlHyEuSBLuQn8t3Gzst\nLCILpajnQ4MBafyFglQi61+CUbs6XCKXc30JQLlfd4JE7rNP3WXiDQFsBQvS2+LL18ffYNpF\n6nJIhV6nyRXVHqJZnla/hGYn8BzqfDM64Wb7L+qT5wVShvnTD+Oos/unME7W+HoPAFL1XFJB\nFEPq8W9EEPEmYZufqObGpW5Pq9/BXTHfSNSbOLet6jrXby17Hcc/ZU/2r2AMpNdF6gCZT0KR\nwpwqnadV/yAdDZ9zbhQScvBa1IQY6Hbk74hZ5/BAUT2rHQxIzak77AsZtXOzDJyvBGOmDpfI\n5chizno7a3gXlGQf8e34ZHjO9+yOLjFNV6sX1AQL0rzuuMVSnDlLgO0P2MFyw+HLQJ0LdCD9\nNSMjHmLePkyKwf7vF8IXUc+oz58XSPzU36L7FYEAA/fuDRPV5wKAtNL59JpcDhL/uzQakVKw\n67yLDFJ1WYZ9Mcfdl+JA9saLQp5ENEj3mmT/CgFAeqZFTCm54RlNAIX0EN3QQnhX77LYD0jV\nT5aEcq/hjq4h3OIDIor6/p3cvm+ZzmI8KUMdHDEYkGLBGR8rGgLp9K358f10Lt0laPn+Zv5S\nDH/7d4lcDteaEqq3cRKyFKYDSFxs909qTu4QLuueb1K/omBBmjIIN74Px1rsKBzl09B7Eqee\nhdGCVNkq64ElIMjhgDjb5fBcmiYwbHAgbWye0pt0NNDCx+LsZginIVlFo027hTlZU6tw4dw8\nFNNUjk8kEAQHTbnIIOFfaC9x5bvkgkJppOVO2EuOPRdeh0KdID1onjstE+X0TDWBEEXrpPiY\nk4ZButt67UgeTRiG+hWR+tw68/I5N5JOAGlkTmqs9jztB6StLVK67tcejADOaI00Mry0Ta5r\nn+aoSMPooEswaleHlMPzN0BEEo13YOfvCAGI4tBa78lObfhuY9zoCKklNj7pmQoPDqQ9D15m\ne6Z9Vor85DZAVgvPCVeokmhBetnx5XPrQjhTutyhBLiB0zhJDgqkEWCKE4TdOCx+HOksy0Ek\nE5AmtqM/kHIgPgbsuxwIhTtIpuZCgc/DB91PXmyQ8Mk5PI2IC/Si8ELcYrq4olddCnWBFHXP\nIIk3KcFMzXY6pPQ2w4k+G6TqkAcXcijRFCUhd7KIHAltYmlgEPQGHu9cqErJBul6MDl57mPN\n0SzSaOUN9ZG+Ba5pm3Cb5oPTxZH0cZi3HLSchxnfqOlfmb2jdtPwIFr8c7zVTP4JtZDy4pgn\nUaS4hn71Kw68HB4Szc85QKr04EC6GnG0XEUQYoGJ0O8K4BqDQ1KvffYF6dyBM/jWDEdYtIDC\n2oEnNlI/jdEgQDrbjr7yTGvWSSW4xfzNAGmlXLE6lR+Q7oObu8r1kBl9iGnEC/LxuwwJ61x1\nMUGib+DjRHuo8vB0eGDJZqHTtKKQb/0oyFIHSL/CVYi3+oRhDKcNfIMg/QgZ4OIQHylwzVrY\nzGaeNLchlgPTWIdTPd3IBKmK4+gQT4LmcHMWB0yQHoEQWzhnTtIcTmKNVpyvnIcZ36jpXr/t\nfZEwpS25qcZTaablTKqsmyGew/h98g1QjIl+VNPcymBAOtUVwEsDgINzp8DlPfkyzcLjWpCq\nb7WDOOU2dPsn0SS9N5it2aFeKh0ESOtEb+7h5LuQctryXNnwpOXqZGyQtnuUESDz7NtstFVK\no+gJdzPCuuzzdwds8Q/SMicIV6aM/Gd3bdAy++4vp/aZf8iPgiL+QdrbyecT0F8scgQBgyCd\nRkrQKznWT7IVakNGSC3UKZkgvQXMcepsw6N2S+WiBGni+GDzJQaJJeXclhgwXZ9uMoUt2E7v\nrsUsDjhPCMmrYcOv4wQUvkJAziiTkLchcmEwIJULSpmaQdsTogVgABqXMdb/Wrt7HGv3bkps\nxY+xCQLty5DsTzJzDP+UWsEwSLtpdYjkkOjhpG1DMegpmY4ZWyL0l1nOfflIhMhoLmkACIO2\ncZC0ORvtuHggPWh7dO8rcXDkTDdvhjWDEFqlM2AYpFONG4lyGD76MC5CpwDf0eMGQXqVBsCO\nQQhxfYdbeyKuEWmdQ1wsAjGNvAZfYYK0gXx/ntPl+HRADruhPtKtpEPL85rRKYxJsWi2XgqQ\nsm/TfwuPlHPnLOkJfbM5Pmvx5EiAiCNXkWrXEzjtbyvhgJPioiHa4XBFWvHaCOMgnbqPthgt\n5D2anaRQIb8nkcJ92HH/IOXdTn5sFrJjaEOTFskWsRUHk7hr1AqGQfJEXiINAZsLwkIgiZZk\nswwGGluhFOMu6Alodhb5vd/pqVwiXzTP0vXigVRMZ3qXw4e5nLcS4dFUeENnwDBIb/DhtVWK\nWaCRsj+kx42BtFnw3IZJfHlGzBBAze4iB6ZzAsyMSxytSsoE6V7SDgkx63J8DK3ZDIE01NMk\n0BwGiLbYtUsjzleCMWMa1PMHP6fKueUQozSgBedY+bbJH97X+gpPynN0k510cOAxQJU74ZhR\nkP7MjPI2KpAofw7SXxr9a10R+2w0auCPILX3BDdWpAVcq1YwDFJsTZsG2ZRmOUBbbBCkUrlD\nTNowHT1P8djb+aS9bwch6+KB5H6R/NhNq4Ha5/8abtEZMAzSAsgHX2PAifLWVmMg5U2GVCVL\nCFKJu7aFyKFHHXltVUmZII3xvDrN4VjDTbum5OYlvQG4VE070+4Pm83QjULKUs5ZLE45viRS\nchokRPA1u2CHIk7iOgrR9H0IfOTZe+KN1ki/Tyl40Of7EZjA1nQnPcMG6fQxUh4vxH9UrbOn\ng0oQ97ZawTBIbsj3dDVqehxylDdDIBVDB8j03IFSLHLKygBIu2ggHW0xB3+7N0X9+DfDBzoD\nhkGapH6X5PYVYgyBdFbI97w7Up6aal4FOZQ2KilGHbCZCdIqNkgZhkEqYyPDXTqQ8NlbIruu\n/Kz20C/DvDtk5buyIZ+42GD3rAD/AGU5HaRip4FyabOIF24xBFL18jBQGUQwgHQ1fpdPskDa\n242Honef5Ul3VvQtPxUp3qlSMAjSM0nqslj+pvItGAHpSDJdkFarSB6+uSdEprT74oD0ejZp\nyCHQCbrmH60BwyDlaO2hPvJsorEayeKs1VP+EWl1RH8ROPU0KROkp9kcuA2DNEFJqV0MhC4h\nSKR8eWW4T5DkP6YqPhtyAcrIW+ITZJ4i5dkLieNPyokWxjTmOr1HA/26IulgbFyoq7irJqY4\nC6T77Ku6iD6tM+SmNdJq5SQDpJPZHd/5eJzzVslCknGgdoFg5uMjVGNWxkCqEG4aDOpsRP6i\nc5tGQKruEVvTLATItUbRlq8cd5v8SK4bpC30/nZr9nJ75dhqXDGOBdLRK7i48m4g9w3tvrcM\nQsQErRWjIP2heQOAIsxyAF1jIInIIX8LznMvEvnPE7rdzKnX8DNBeo0NErNCYYLkWZWnnXpl\nmz1PCRokIif0p8oRf6MQDijMIvci4sjP+Lmc5ztNKkGTkuktx8k56PNiM5qcyqvdCLFAyr7j\nMPSoHcDlpMMlt02B/ygnGSBtch0nebd5KD/gLjrwHeJVlK56GEHL8AizKucbA6n/OPyB5/Le\nLEnQlus2AyB9D9sVtVzOQjfIu2yAQiMhhcvsA0gSzx+kgyVskE7luTNuiONbC6shtLYl6rQi\nSCNwndRYMQrSBjVGxK44L4OeMATScY9a41LawA4l5Sx5hTxBiTNfnRA/VpWWCdLb7BxP2ze6\nIQgmSG3ZBsiThIRcCpAe/cvvqXLoYLUqnQDP/yE02gZKI3B1BIitrLSBZBYAmURox8U9KFyn\nMqAH6YuXxZXzfUtC3mTjoq2iJzcwQFrR5OSOLRXdUTeMw1RFKG3pTOTeNnXyVTAGUt5KfA8H\nKvEO/xgA6TXzx0gpzblmysuBAnlmi2QAB8/rQLrn6maJN+LK0TF5y1Ug3ZaSfS8hp3/GtOrK\niak9eu7qa59X0bsjjFEZIFysimvdfuUnMDjW7i3zQS5SECyEHvCF5vYMgnQDr62R4O63BeoH\nKzBIv219JQOUdr/SQrYqBixg4bKdawwNNiz3BxLjKBOkfH8gsY6ep9TXPBLK/WGR5Mk0yhP2\nf7C3fY188kwzrmWGclh5o5O59C7W3ioDWpB+70Deda0xBSQ+vKV4lycBA6TN1hh5n0sO3Y6v\nFcfYszbVNYyBNHDEAJ0pUHa2GgDpB5Kda5t28tMjUFbvQxdRB9Lme+L/PJb3n52DKo9E+oK0\nrceJI/k7K+yHT8UeXNun6iPYRWsk2ycad1qEi4mUUg7Fo7baPqIJ4uEzjLUKKmGD9Bnv1Ngi\nvY2lsveegCDdZTUjCXwWRHjHXORxJ9NVCXHq/TZMkNayczxvGKSi/0sgSW2X5fGIh4hOnvdF\n3p/kySknOwlmrgaKEAS598abr1QZ0ILUr3geUg1fA0S1K2s18BVvAgZIB/iY+NZFpGsw8D+h\n8g14xUze+bSKXtIiXwVjIO3gXBJnU+UiTmnZGQGp0ilCmk9pztH9SE1oZ5KHxqKuaffAPeSe\nltyOf3lxluAL0qLUkpLM5yt6Ytzxu7F0A4cMUq99UKIyQLjoD91so3LIlWbYQVWNZAouATRO\nOQ2CdBN/NfKtlIlZ+zKr3FUNBNIbwhNVjUrldpwv05H5KNYuud1WPolXw80E6X52jrcaBimd\nbeCSjdox5PRzG2TpzpGvh4pQvrmmKwGWUHS3J1nVUlCWenokZmoobFUZ0oB0nE8jTQH1cMF8\nVQoGSOsjO4NY2rqEtJw1vhZJRjBJGdJXOy9vNdy7t48B0onr23dZWel7cEMfgQNQte24lMyz\n8jk9SK8PbDVhr++hz1E41C5ukn+K0sMxEbS1GWbXbez75p6FGC+9bVuT1XsSfEFaQHr2R09X\njKMgjSIgpe7y9JF0IDUhja6mnHwpn5pQXl0REgVHaKp/bunYefkZr4JKVhR9MarVMO0w+Qg+\nXv02QYKkVfIpPUi/XN26b+0Wmsl95pfZOmu0wfwj7t/kiwF0Xjdc45GgTbNW/V/WXB9fz+bA\nwToa3rbVsP9qEuJItgHhXwTSN+mpsriQUNSjMUAreWlbIy5C/obmGq8G74BQ4HkaXmnhONSG\nVCAduifV07CjkqWooVUqBQZIdxe8bj6Nxw1v4m2IK58NwTH8IvCie/2bQnH7Yp4S/O3yG9vr\nQDrdJDw11eHrunORudA3Q8ocQa5nxFYHUkcurbSxbbfPoQqfoZIaqG9sideESMj6im7U7v17\nso7+1fi9hYurK/jKLRMrd1crIG1teuJI8kEFpIf7Vu0kTbtiNkg54S5JiLZ0Saq5LkIiuKJK\nSK+sOezGe1cszklcOD+6WzX+57FF12hBShf63FLGtZ6y7mzNsf13JWrG/xPfajbac1IHUt+I\nkus6CYWzHlEGpPqEJLYP9TZpQRlJJf8P//F3Oj+d29qldRBZ4kxKFTXvtcZ/q+ZwGuuoMyI5\nmX9FkzKBbcD0LwLJK+VgaZfOIZRuNyPSqOCsEEoLLtimnH6UbtRXqglloh+BXW3AF6Q3XbEI\nNP3bcAG+USkwQHpHep/bcjx5QUHfV0wqZYxfEF596xjOckZ3jHESuh+VCko5je+SwjtXieC0\ngc/E7WHOLIFG8vp4qywtSCLiebPL1dPn0H9q9Tx50YTgNet+fPSlsHsYE7L3DCmMuxHvLk2a\ncPn0LRN/h8rdfFRU1NXVi1OS1mIFpLNXpAzu+vOZ/OlMkEbwu97cUQFR6vGR6G7Dk6Z9/oDj\n3JOmvCzUrQrvt20+kBLVMRR9rzKwwjalerDEIc6W620FPmfJ1A40dI7I9PoM14GU1uaPvBAR\nxPB42XIXTiqthXAVvavGiDTYpY3/SDP34upuaRqQCsAtIkEzungTm4Ni1lEbCuVRrCaln8EG\nOpulX8J3nlJvIO3HJ0CMEWhFkge2Vghiu8xMgnh5dd5P5ls9E3AePqjfAvU+Wx+QKmNmTENj\naz8c1bC1cWj2G7EmZPtHtpbc1CXCOFDN5C4vt9xEkpxCJf/gf9rA8Z/MpHbrqdmXV3hnETyG\n8XSoHZB9EV3Ha7ORtWZphxYkCUYf69AtwaeEOJTq+xTeOvbH7rHX3ZpeeJoF0rK6XrIsb6/H\nx5pUehVUpwhIf1mkLmWcOVx9z00/NXFTJ4irfrXdha/pFH4/7Yv06ngSVU9+1gAAIABJREFU\nv8StUxlYYXnrEXdKX1huzvP45D7qGqV2aU5ex+hHazye6EAKvePKok6dTd3Se8pttiYos4v6\nViypdDjI4tgGtM5a7dKA1GIKriyAd9QHl7I5iGEdDVuN/woDzfByFtvAv6lp55VydAC/D6ix\nJT0UxllHuVIQGpnXV0CQw4H5qsedmTRf1+ZtdDnAoyoDPiB9ASXIt5MTIkBok04PahbMskD6\nf+x9B3wVxfb/ma23l/TeQwohhCS0UJLQey8iVTrSqx0UpIgKCNJEsIAFVGxgQ0Ef9q6o2LEg\nz4ogCtIy/5nd23Z2b3IvJE8/v3++7xmS2T2zbb4zZ86cOefMrZWZihFeoG6iChT+lnRZO9Bh\n63kQ0ansMvjroahxEaYYJox/0cpoTgShG/J385vgPh+VER1hyVzLv3dCNyIBEjiuTPb+XbXW\n4u86eAHmA2+m7m9//r2svOXVx422UYRApJ8Gtil51CegOUSnPIfLLIJfC/WgeE/jyBQrlzHJ\nWYUXtZrSH+8z86jvCfy0xBJpaw5PPtOHMZd7tqS/IFv7aGhE6j7hF9ARKb6SnJCJnoSHJMq2\nnPjIQNc6oN52wB1EGWircu+LY1nVTgSuANZrC6825oGbOtKwPqcuHsQsYEIvRhtXIIPNrHMf\nv1DUGpF6Ht0NEJn6Q4obF11hul4U6BfhAEW3SjClo8WX0+at7Owlv7ThiP63UVNBAJHepf4L\nAT0g8LxBsMkgTqunAJJ6uxShKR5xCfCfDaIj3DFJfKRTdESjk9ukRtufTWU8RopuobsECNm7\n+IqeRRqzYeuepGvzN34DItGzfJO/lR7PAnXbi40bCzCUEtOXyaROXIQ+t7fUjgH0kcSKeBQ5\n+2aJ7zy7M5Ji9wrCXVLcQD2Roshcl0oI/T276J6RsgPnR9SOLQcI6IiUTpQNutsKxgjUIakM\nnBzn60wcXRuSd8HvKEavwtqi7r/hN6NaMERS7WsPaAu9nn7M46eC6YFdAlOqhDNhiWQ1riAK\n7EhA/0SkVQP8cVTBeJQrKD77yDwV95x1v1P9HgDRVzZMJJRqz1Ebst3zRgW6u0dj3gok0sdM\nQ/iPqTF7VRyUSJ9ALva/OUqjJPICt3GoqITjnMr1Y/BDQFS73iyRPB5ZdIeEB8d8M6QI8G4F\n9ptrWSJ55mU+1S5+NpT6TBVDXXKUZ2TzzQDqhEgzy5PSkNu/cCCIAiQ8ibj0JGjLQZ4A1Jte\n2oE7VMJXu3mGSA19r61SLflVdJsZ5XZvgICOSGb1CxO1QElW0IUD3re0OKzYlqlEG+RuWoMe\n+KxAiESjJzBEUj26maAAQ4150MKolDc602JcQSvl1thdSheIiyTSAd9bjk0yCXwKDwV//ha9\nFf+2kAxHbqKhWfZ/11gAl7K3tLC56gKs/MfEsgog0i3gm1Ap4GSDsEXBiLQeBmOPmUatQyJj\nPS6H5/FZ6kTM2cmN4Duj+Mp+IhPfsagI1MlnQJ6PwZ6VeDq0KooJwAe+gyyRBNA4KR+DuTDD\n8xycy0ndVHge2WXweVjVCZG6XGEaKFD7v5fCRDVoEReLNr/fUpml8VLZWsj5/Nzn0VybJPSJ\npoIVWd7+gvO6Qo736HMq4l0wKVBARySERMW5PUkNqd07FZl8lP78XFQ6xn0lS/dWPJkJnN3/\n8Ge6SKtZyqefry2coX2xXpDpgSSzDnQmRaHV5sjwLc8zFdxslRMTIBHXCi52RPrwbQWDuU1x\nHT8/eF0sGrsip+Q0mYk0Nxc0VYywKAZgAsR5WqlFQg1puxSitPUEEClf0wEiNOw4NkAQIv0C\naMrGoUSZ8czJTE4LUbZyuTO76ChlWVxKmnubh+V9V09vlaqtoCjNc8UAd9rtHESrTsamAaqv\nKed3NGSJxHu2UPf2/B15KwglKrvQNUMc8kTF2hCw4blOiHR5j7j8HM6/AioKIjeab6JwISKq\nXJCd5+8lfzR6/z0YMkbWVrgiw8uZBt72edqJvBZQExnWIgrPBAroiKR+MmiwfLaicczqUMyb\nSj08qOwhZWL8rbthRVvHVI8AS6R85Vxmcf5JYx5sE2kUIW10Q2X7OILntIVBfO3+yMqorODa\n4lpBrc2REsUGpB/4AeU2mUt3mG9o4Fam/WDxbI5EFvKMDnDOVncsxTu1FXiJ9Mccu4ZHkXy+\n7mIKgm3sI10Sou0oNp3qJH3dUsLonIOxXutzJHWLNrctrHj1kzwmLJ0yIintoL0vXs2xKMJ+\nOhRFZ1QUQ3J6tpDiF9ATyVuBcwgN2HxNrFldQeEtQxqXzM+8ozmXlZ7F+aMU1AmR3pbaqM4U\nyM7JiDMLpqJWo+grR8pXID+mCGZ0RZe4xu2qdAuyed5H4PhfMD63Ksfe/HoqSh8jKoYTU6/Q\ndmrGRAJlCKfLsh+aBnEe9RhZ+EbTaJyNL0fktVrnTVjJEkk1C2gdWfFPag0M6/FnnCs7i42B\nr34EZtPcE2oFbMwG/NPkwqa2e9jSC0OtEenecULUzydHpnlMo18KnNZeAyldXfB9mVrAD+iL\nXtVU4CFSVQ+NO44Acl/TGfZiCoIQ6UV13XdAE9ImyiNyOh/Fn6VNinT7PrBK7Nc7I7AxuTOL\nvB5ZkGtVw/qeWNK3hzJVNkUfwMdddheIfdAxn0BQItENpBPO47PjVbNZpwruHnx+meXryL5m\nMPfx+8fVOpGkUf1vOfVIhOcmxKvPXcVdeumgEZxGU0YQA5eRuUibnww8G3wDmdzsDL7Ofcv9\nzZHPbTFzhI3VsYMSiVqaLj2K8UO+dfWIn9akxdzEPgJLJPX0W5izVM8E1o/vnjjSmqyM7VV9\n0t+0hS+pt2DoABX3gFFp+AiHSM+ewFX39xn8qMGhqdwjq8rAbE5501NwSpcQVUYC9LCW0q/a\nYIytre0pTQUeIr2nleEve/iAkk9ID2Mi3cZzSDYXya7RH9287vviaxpKKVyPOdqGlD8MtuMT\nP+pchHxs4zsqO3eOZWVOa4QmyhllHELJJv7WPTc8+A34N6LprXaByMEvy6hjM2kY76ywoyi3\n48E/0WuP3fDYa6ju5kj88ClJjQtSxjhR8wmw0HwW7xSRIJAh0f/wypvoSVSH7I0GLkK5vhdV\nYtt1Wn74SHwE4URk2oef9UM2i+MR9g6CEolcqcSc+NPvFmSKgpK74I63M83R0GfzBsaOwBJJ\nNQtUagv/Vr20WJPTja2+WXNrM633uIdITAi81aq1mNlLSnBgw13R/wCR5IP4Tvvc+XFb9Iem\nIlckmcdatn/3xbnjH5Gm8oHPyxdoB01+CM7pwL+HvxmF4AD+QLAbEemRgEULRJovFDqiI/RX\nozAk0lHRBhGCa1prFMHnpJil588+f8/+jxJ8VdL/7O/eBfOwga+d3xtijhLq68qGJ/HQDshl\nKeTNSfc81ybeVOiKChgf9QuyAXxFsKlwCPyC+4PM5fG2YY8QVSk11lZoi033CdSFave7K/K3\nPsp+nwj4FPdGkqrTCqQl0vFRkCMiJHSWagyvGxDJ5nsCZ/ObPoafR7kgGoGUdxXORQlRprvZ\nOwhGJBGSYYu9+YTeCMUkyvAkmopPPds52ZKSw2sjZ7BEUgJ0ALPp8wOQbckSz+7Le9wkp2Wz\nMbbUx2VGvitBdify7HSKlJNGgiazpReGMInU7CGMXw7If/tNpw4KktFm2y5LyUSebjcHcfa5\nY0jr6gkmawvkpunypiZLpJJsWU+kGzSGVtcDZI64dTrXwPhmDIn0NBoBd35iSxnDoYZ3roni\nvsLnZgesSdE74m5fYFI8l3RE8nv3dR1GCyoXYHx1G0j4+ZS7AVEWBqLB2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XCrJ9Ir1jQpM/rLj03PB5OvCyK1Rd0G2Vpzn4ZWgY5IAxom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\nuwNej65YaYeLvjB31SWZlrhP+ve0eiwz/4aro/sIS3F2IMYWAzWYH9X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c+1Ck2c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\nivqPXtz16MdPkpenHvrikS2EfP11Yrm/T+w9tn/Pd69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            "text/plain": "plot without title"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": false
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "r",
      "display_name": "R",
      "language": "R"
    },
    "language_info": {
      "mimetype": "text/x-r-source",
      "name": "R",
      "pygments_lexer": "r",
      "version": "3.4.1",
      "file_extension": ".r",
      "codemirror_mode": "r"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}