From b1d860cdd769813b43e66c83879e72e28bd19dbc Mon Sep 17 00:00:00 2001 From: Tapajit Dey Date: Wed, 13 Jan 2021 11:12:49 +0000 Subject: [PATCH 1/3] Add file links to README --- README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 92b4f10..183c072 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,10 @@ -# track_hack +# Tracking Hackathon Code Usage +Replication Package for "The Secret Life of Hackathon Code Where does it come from and where does it go?" # Data Processing Steps Listed below using [WoC](https://github.com/woc-hack/tutorial): +Command for getting required data from WoC + ### Get Project to Commit maps (p2c): `$ cat hack_projects | ~/lookup/getValues -f p2c > p2c.csv` @@ -14,3 +17,7 @@ ### Get Project to author maps (p2a): `$ cat hack_projects | ~/lookup/getValues p2a | sed -e 's/;/,/g' -e 's/,/;/1' > p2a.csv` + + +## [Analysis for identifying when and by whom the code was created (RQ1)](./TrackCodeGeneration.ipynb) +## [Analysis for tracking hackathon code reuse (RQ2)](./TrackCodeUsage.ipynb) From a736a1a74f949358af55576f5da21a771e7baf39 Mon Sep 17 00:00:00 2001 From: tapjdey Date: Wed, 13 Jan 2021 07:01:29 -0500 Subject: [PATCH 2/3] RQ3 and project analysis --- Influence_factors.ipynb | 307 +++++++++++++ Project_classification_code_flow.ipynb | 575 +++++++++++++++++++++++++ 2 files changed, 882 insertions(+) create mode 100644 Influence_factors.ipynb create mode 100644 Project_classification_code_flow.ipynb diff --git a/Influence_factors.ipynb b/Influence_factors.ipynb new file mode 100644 index 0000000..bf7fbac --- /dev/null +++ b/Influence_factors.ipynb @@ -0,0 +1,307 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Attaching package: 'dplyr'\n", + "\n", + "\n", + "The following objects are masked from 'package:data.table':\n", + "\n", + " between, first, last\n", + "\n", + "\n", + "The following objects are masked from 'package:stats':\n", + "\n", + " filter, lag\n", + "\n", + "\n", + "The following objects are masked from 'package:base':\n", + "\n", + " intersect, setdiff, setequal, union\n", + "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classes 'data.table' and 'data.frame':\t16063 obs. of 5 variables:\n", + " $ projectID_x : chr \"shreyakate_SheTechs\" \"Madalosso_vanhackathon-mastermind\" \"mdnahian_taylor\" \"gchamp20_AndYetItCompiles\" ...\n", + " $ number-of-technologies: int 6 2 11 40 2 7 7 3 9 4 ...\n", + " $ number-of-participants: int 5 1 4 3 3 4 2 1 4 2 ...\n", + " $ hackathon-is-colocated: logi TRUE FALSE TRUE TRUE TRUE TRUE ...\n", + " $ Ratio : num 0.0833 0 1 0 0 ...\n", + " - attr(*, \".internal.selfref\")= \n", + "Classes 'data.table' and 'data.frame':\t17424 obs. of 4 variables:\n", + " $ ProjectID: chr \"0-Solver-0_CiscoSparkUnityInteraction\" \"00Bren00_ProfHacks2018NonceSolver\" \"0807Jpatel_Hack-Bot\" \"09wakharet_Protest-Smart\" ...\n", + " $ Before : int 14 0 1375 6 2 0 10 2 14 4 ...\n", + " $ During : int 0 5 66 40 0 11 0 11 5 2 ...\n", + " $ After : int 1 0 0 0 0 0 0 8 0 0 ...\n", + " - attr(*, \".internal.selfref\")= \n", + "Classes 'data.table' and 'data.frame':\t22086 obs. of 6 variables:\n", + " $ ProjectID: chr \"0-Solver-0_CiscoSparkUnityInteraction\" \"00Bren00_ProfHacks2018NonceSolver\" \"01bui_ID-4-Faithstrings-\" \"01bui_momApp\" ...\n", + " $ pctOther : num 0.2197 0.0714 0 0 0 ...\n", + " $ pctData : num 0.644 0.357 0 0 0 ...\n", + " $ pctMarkup: num 0 0 0 0 0 ...\n", + " $ pctCode : num 0.114 0.357 0 0 0 ...\n", + " $ pctProse : num 0.0227 0.2143 1 1 1 ...\n", + " - attr(*, \".internal.selfref\")= \n" + ] + } + ], + "source": [ + "library(data.table)\n", + "library(dplyr)\n", + "# data about projects from DEVPOST\n", + "df0 = fread('/da4_data/play/trackhack/Analysis/CodeUsage/RQ3a.csv')\n", + "df0 = df0 %>% select(1,2,4,9,23)\n", + "str(df0)\n", + "# Number of blobs created before, during, after\n", + "df1 = fread('/da4_data/play/trackhack/Analysis/CodeGeneration/Analysis_TF_Pivot.csv')\n", + "str(df1)\n", + "# composition of the project\n", + "df11 = fread('/da4_data/play/trackhack/Analysis/CodeUsage/pivotCodeInfoGroup.csv')\n", + "str(df11)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classes 'data.table' and 'data.frame':\t16063 obs. of 13 variables:\n", + " $ projectID_x : chr \"00Bren00_ProfHacks2018NonceSolver\" \"0807Jpatel_Hack-Bot\" \"09wakharet_Protest-Smart\" \"0lumide_BoilerMake14\" ...\n", + " $ number-of-technologies: int 2 9 4 2 4 6 6 2 5 3 ...\n", + " $ number-of-participants: int 3 1 4 1 1 3 2 2 4 2 ...\n", + " $ hackathon-is-colocated: logi TRUE TRUE TRUE TRUE TRUE TRUE ...\n", + " $ Ratio : num 1 0 0 0 0 1 0 0 1 1 ...\n", + " $ Before : int 0 1375 6 0 2 14 4 41 98 1 ...\n", + " $ During : int 5 66 40 11 11 5 2 57 138 1 ...\n", + " $ After : int 0 0 0 0 8 0 0 0 0 0 ...\n", + " $ pctOther : num 0.0714 0.0896 0.2041 0.6917 0.1875 ...\n", + " $ pctData : num 0.357 0.354 0.051 0.183 0.484 ...\n", + " $ pctMarkup : num 0 0.057 0.224 0 0 ...\n", + " $ pctCode : num 0.3571 0.3948 0.4694 0.0917 0.3281 ...\n", + " $ pctProse : num 0.2143 0.1047 0.051 0.0333 0 ...\n", + " - attr(*, \".internal.selfref\")= \n", + " - attr(*, \"sorted\")= chr \"projectID_x\"\n" + ] + } + ], + "source": [ + "# merging the datasets\n", + "df = merge(merge(df0, df1, by.x='projectID_x', by.y='ProjectID'), df11, by.x='projectID_x', by.y='ProjectID')\n", + "str(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classes 'data.table' and 'data.frame':\t12881 obs. of 10 variables:\n", + " $ no.Technology : int 2 4 6 6 2 5 3 7 1 1 ...\n", + " $ no.Participant: int 3 4 3 2 2 4 2 2 2 4 ...\n", + " $ is.colocated : logi TRUE TRUE TRUE TRUE TRUE TRUE ...\n", + " $ Before : int 0 6 14 4 41 98 1 0 252 13 ...\n", + " $ During : int 5 40 5 2 57 138 1 8 92 13 ...\n", + " $ pctData : num 0.357 0.051 0.325 0.198 0.162 ...\n", + " $ pctMarkup : num 0 0.2245 0.0355 0.0549 0.0154 ...\n", + " $ pctCode : num 0.3571 0.4694 0.1124 0.0659 0.7538 ...\n", + " $ pctProse : num 0.2143 0.051 0.0296 0.0549 0.0615 ...\n", + " $ Y : logi TRUE FALSE TRUE FALSE FALSE TRUE ...\n", + " - attr(*, \".internal.selfref\")= \n" + ] + } + ], + "source": [ + "# preprocessing\n", + "df2 = df\n", + "df2$projectID_x = NULL\n", + "colnames(df2)[c(1,2,3)] = c('no.Technology', 'no.Participant','is.colocated')\n", + "\n", + "dff = df2[complete.cases(df2),]\n", + "\n", + "dfi = dff\n", + "dfi$Y = (ifelse(dfi$Ratio >0, TRUE, FALSE))\n", + "dfi$Ratio = NULL\n", + "\n", + "dfi$pctOther = NULL # prevent sum of 100%\n", + "dfi$After = NULL # prevent data leakage\n", + "dfi = dfi[dfi$no.Participant>1 & dfi$no.Technology>0 ,] # subsetting projects\n", + "str(dfi)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Loading required package: nlme\n", + "\n", + "\n", + "Attaching package: 'nlme'\n", + "\n", + "\n", + "The following object is masked from 'package:dplyr':\n", + "\n", + " collapse\n", + "\n", + "\n", + "This is mgcv 1.8-31. For overview type 'help(\"mgcv-package\")'.\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "\n", + "Family: binomial \n", + "Link function: logit \n", + "\n", + "Formula:\n", + "Y ~ no.Participant + is.colocated + no.Technology + Before + \n", + " During + s(pctProse) + s(pctData) + s(pctCode) + s(pctMarkup)\n", + "\n", + "Parametric coefficients:\n", + " Estimate Std. Error z value Pr(>|z|) \n", + "(Intercept) -1.472e+00 1.188e-01 -12.390 < 2e-16 ***\n", + "no.Participant 2.078e-01 1.815e-02 11.452 < 2e-16 ***\n", + "is.colocatedTRUE 2.034e-01 1.030e-01 1.975 0.0483 * \n", + "no.Technology 2.614e-02 5.963e-03 4.383 1.17e-05 ***\n", + "Before 9.972e-05 1.742e-05 5.725 1.03e-08 ***\n", + "During 3.599e-03 4.255e-04 8.457 < 2e-16 ***\n", + "---\n", + "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", + "\n", + "Approximate significance of smooth terms:\n", + " edf Ref.df Chi.sq p-value \n", + "s(pctProse) 3.898 4.848 13.254 0.0195 * \n", + "s(pctData) 3.715 4.658 5.691 0.2490 \n", + "s(pctCode) 3.842 4.800 12.231 0.0208 * \n", + "s(pctMarkup) 6.678 7.801 32.957 8.98e-05 ***\n", + "---\n", + "Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n", + "\n", + "R-sq.(adj) = 0.0414 Deviance explained = 3.17%\n", + "-REML = 8598.4 Scale est. = 1 n = 12881" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# using GAM modeling\n", + "library(mgcv)\n", + "dfi$is.colocated = factor(dfi$is.colocated )\n", + "gam1 = mgcv::gam(Y~ no.Participant+is.colocated+no.Technology+ Before+ During +\n", + " s(pctProse) + s(pctData)+ s(pctCode)+ s(pctMarkup) , \n", + " data = dfi, family=binomial, method='REML')\n", + "summary(gam1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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J2AgIA1a9ZERUW1atVKdAsE09pBqFAo\nZs6cmZCQUFhY+Oztcrm8d+/e06ZNs7Kyev1nO378eI8ePUquqlQqtYUCAAAAZejHH3/84Ycf\nwsLCOnToILoF4mnhUUZzcnI8PDy6dOkSFxf33BqUyWQqlSosLKx169aenp6PHz8WUggAAAAI\nsWXLlq+++io4OJi3vKGYtg3CjIwMe3v70NDQV94zJCTE0dExKyurDKoAAAAA4aKjo318fBYs\nWDB06FDRLdAUWjUIi4qKBg4ceOrUqf/90gtPsnnkyBE7O7s7d+6UfhoAAAAg0pEjR/r06fPN\nN9+MHz9edAs0iFYNwqVLl8bExDx7i62tbVhYWFZWVkFBQUZGRnx8vJeX17Pj8Ny5c8OGDSvz\nUgAAAKDsnDlzxs3NzdvbOyAgQHQLNIv2DMInT57Mnz+/5KqBgcHcuXMPHjzYu3fv4vNsvv/+\n+506ddqwYUNqamrDhg1L7hkREbFmzRoBxQAAAEDpu3z5spOTU+fOnZctWya6BRpHewZhWFjY\nrVu3Sq7Onz9/ypQpOjov+D/YtGnTw4cPt27duuQWf3//K1eulEUlAAAAUIbu3r3r6uravHnz\nLVu26Orqis6BxtGeQRgbG1ty2cbGZuzYsS+5c40aNUJDQytVqlR8NScnZ9y4caXbBwAAAJSt\nhw8furi4VK1aNSwszNDQUHQONJH2DMIjR46UXJ45c+YLXxt8VoMGDZYvX15yddeuXXFxcaUV\nBwAAAJStvLy8nj17KpXKiIgIExMT0TnQUNozCO/evVt8QU9Pr0uXLq/zEG9vb3t7+5KrEyZM\nKCoqKpU4AAAAoAwVFBR4eHhcv349MjKyWrVqonOgubRnEN6/f7/4Qo0aNV7/BfGlS5eWvJf6\n9OnTGzduLJU4AAAAoKwUFRX5+PicOHEiKirqgw8+EJ0DjaY9g9DY2Lj4glKpfP1HtWzZctSo\nUSVXv/vuu9zcXDWXAQAAAGVo4sSJu3fvjoiIaNSokegWaDrtGYS1a9cuvpCZmfno0aPXf+Cs\nWbNKXka/cePGtGnT1B8HAAAAlInvv/9+1apVu3fvfvag+sC/0cJBKJPJdu3a9foPrFat2uzZ\ns0uuLlmyJDExUZ1lAAAAQJn48ccf586dGxIS0qlTJ9EtKB+0ZxC2a9eu5HJQUFBhYeHrP3bU\nqFE2NjbFl4vfcp2Tk6PmPgAAAKA0bd68+auvvgoODnZzcxPdgnJDewahh4dHyeUTJ0680Ts/\ndXR0Vq5cWXJ0mYsXL7q7uz958kTNiQAAAEDp2L1799ChQxcuXDh06FDRLShPtGcQtm7dukmT\nJiVX586dO2bMmPz8/Nd8uLW19bMbMjY21tPTMzs7W82VAAAAgLodPnx44MCB06dPHzdunOgW\nlDPaMwhlMtmKFSueu9qwYUM/P7+YmJiSsxS+xLRp0549geGuXbuaNWsWGhr6RoctBQAAAMpS\nSkqKm5vb0KFDOTgi3oJcpVKJblCn0aNHr169+oVfMjAwCAwMfPlvTTIzM+3t7f/4449nbzQx\nMWnYsGFycnLJLaXxD634oMBpaWlqf2YAAABoq4sXL3bs2NHBwWHDhg06Olr1Yo82USqVhoaG\nSUlJtra2oluep21/aJYvX+7r6/vCLymVysePH7/84dWrV4+OjjY3N3/2xpycnGfXIAAAAKAJ\n0tPTHR0dbWxsfvnlF9Yg3o62/bnR09NbvXr10qVLTUxM3u4Z6tSpc/ToUU9PT/WGAQAAAGp0\n7949Jyen+vXrb9u2TU9PT3QOyittG4TFxo4de/HixalTpz57mJnXV6lSpW3btu3bt4+zeQIA\nAEADPXr0yNXV1cDAIDw8vEKFCqJzUI5p22cI/1dGRkZqauq1a9cePHjQpk0bOzu7N3p4cnJy\naGjowYMHk5OTHzx4UHwjnyEEAACAKHl5ed27d79x48bBgwdr1aolOgevpsmfIdT+F5dr1KjR\ntWvXt364paWlpaVl8eXbt2/fvXv3zp07akoDAAAA3kxhYaGXl9fFixcTExNZg3h32j8I1ah2\n7dq1a9cWXQEAAACJUqlUvr6+CQkJCQkJZmZmonOgDRiEAAAAQPkwYcKE0NDQuLi4pk2bim6B\nlmAQAgAAAOXA9OnTV61atX//fg58CDViEAIAAACabvny5fPmzQsLC+vUqZPoFmgVBiEAAACg\n0TZt2jR+/PiNGze6ubmJboG2YRC+2s2bNxcvXvzsLQsWLBAVAwAAAEnZtWuXj4/PwoULBwwY\nILoFWohB+GoZGRkLFy589hYGIQAAAMpATEyMp6fnjBkz/Pz8RLdAOzEIy0Jubu7t27dffp+C\nggI9Pf51AAAA4G/Hjh3r06fP6NGjv/32W9Et0FoskLIwc+bMwMDAV96tatWqZRADAAAAzXfm\nzBlXV9e+ffs+99klQL0YhGVh9uzZkydPfvl92rRpI5fLy6YHAAAAmuzSpUtOTk6dO3deu3Yt\nPyKiVDEIX61KlSrv+BFePT29V776p6Oj8y7fAgAAANrhxo0b3bp1s7Cw2LJli66urugcaDkG\n4auZmZlt3bpVdAUAAAC0371795ycnOrUqRMWFmZoaCg6B9qPV6UAAAAAjfDo0SMXFxd9ff29\ne/dWrFhRdA4kgVcIAQAAAPHy8vJ69uyZnZ2dkJBQpUoV0TmQCgYhAAAAIFhBQYGHh8eVK1cS\nExNr1aolOgcSwiAEAAAARCoqKvL29j5+/HhCQoKpqanoHEgLgxAAAAAQRqVSjRo1KioqKj4+\nvkmTJqJzIDmSG4TZ2dk3b958/Ax9ff2KFSuamJhUrFjxgw8+4OzwAAAAKDOTJ0/eunVrZGSk\nhYWF6BZIkfYPwsePH0dERCQkJJw/f/78+fPp6ekvv3/NmjWbNm3arFkzJyenbt26mZiYlE0n\nAAAApCYgIGD58uUREREdOnQQ3QKJkqtUKtENpWXnzp2//PLL/v378/Pz3+4ZDA0Nu3btOmHC\nBAcHB/W2/a9GjRrJZLK0tLTS/kYAAADQBMuWLZswYcKOHTt69OghugWlS6lUGhoaJiUl2dra\nim55nnaeh/DEiROdOnXq3bt3eHj4W69BmUz25MmTffv2OTo62tnZHT16VI2FAAAAkLL169f7\n+/tv2LCBNQixtHAQzp8//5NPPjl48KAanzMpKalTp05r165V43MCAABAmnbs2DFixIgVK1YM\nGDBAdAukTts+QzhjxoyAgID/vb1KlSpt27a1sLD48MMP69WrV716dSMjowoVKujr6yuVyvz8\n/Pz8/KysrPT09Bs3bpw/f/7YsWO3b99+9hmUSuXIkSPv3r377bffltH/GQAAAGidqKioQYMG\nzZ0719fXV3QLoF2DMD4+fsaMGc/eUrNmTS8vLy8vr5YtW8rl8jd6titXrvz666/r16//888/\nS26cPn16hw4d7O3t1VMMAAAAKYmLi3N3d//2228nTpwougWQybTpoDKFhYXm5uYlB2XR0dEZ\nO3bs7Nmz3/EwoUVFRatWrfrmm28ePXpUfEv9+vUvXbqko6Pmd9tyUBkAAADtduzYMUdHRx8f\nn6CgINEtKFMcVKYsxMbGPrumVq1atWTJknc/aYSOjs4XX3wRExNT8lR//fXXgQMH3vFpAQAA\nICmpqamurq59+/ZdsmSJ6BbgH9ozCH/99deSy4MHDx45cqQan7xNmzb/+c9/Sq5u3LhRjU8O\nAAAA7XbhwoVu3bo5OTn99NNPb/o5JqBUac8gPH36dMllf39/tT+/t7d39erViy+fO3dO7c8P\nAAAArfTXX385Ojp+8sknGzZsUPvHjoB3pD1/ItPT04sv6OrqtmzZUu3Pb2ho2Lx58+LL169f\nV/vzAwAAQPvcuXPHxcWlcePG27dv19fXF50DPE97BmF2dnbxBWNjYz29Ujl6askrhCXfCwAA\nAPg39+7dc3BwqFatWnh4uJGRkegc4AW0ZxB+8MEHxReys7OzsrJK41v89ddfz30vAAAA4IUe\nPnzo4uKir6+/d+/edz/SIVBKtGcQNmjQoOTyb7/9pvbnv3TpUkpKSvHlDz/8UO3PDwAAAK2R\nm5vbs2fPJ0+eHDhwoGrVqqJzgH+lPYOwZ8+eJZfnzJmTkZGhxicvKiqaOHFiYWFh8VUHBwc1\nPjkAAAC0iVKp/PTTT2/duhUVFVXymSNAM2nPIBwwYEDJRwevXr3q4uJScpiZd5SXlzds2LDw\n8PDiqzo6OkOGDFHLMwMAAEDLFBQU9O3b9+zZs9HR0XXq1BGdA7yC9gzCmjVrjh8/vuTqqVOn\nmjVrNn/+/Hf5PGF+fv7mzZvNzc3Xr19fcqO3t3e9evXeqRUAAADaqLCw0Nvb+9ixY1FRUfXr\n1xedA7yaXKVSiW5Qm7y8vJYtW168ePHZGw0MDNzc3Dp37tyuXTsLCwtjY+OXP4lSqTx//vzR\no0eTkpLCw8MfPnz47FcbN2588uTJ0vhYcKNGjWQyWVpamtqfGQAAAGVApVL5+vqGh4crFIqS\n05UBMplMqVQaGhomJSXZ2tqKbnleqZyeQZQKFSpER0c7ODhcvny55EalUhkWFhYWFlZ8tXr1\n6vXq1Xv//fcrVKhgZGRkYGBQUFCQn5+fn5+flZV148aNO3fu/NtI/uijj3bu3MlBogAAAPAc\nlUr15ZdfhoSExMbGsgZRjmjVIJTJZPXr109ISBgxYsT+/ftfeIfMzMzMzMy3eGZnZ+etW7dy\nkCgAAAD8r4kTJ27cuDEyMrJ169aiW4A3oD2fISzxwQcf7Nu3b9++fRYWFmp5wnbt2u3du3f/\n/v2sQQAAAPyvadOmrVy5cteuXRr4hkDg5bTtFcISLi4uLi4uJ06c+O2330JDQ5/7YOHraNGi\nRffu3Xv16sV/2AAAAPg3//nPf+bPn79jx44uXbqIbgHemFYdVOYl7ty5c/b/3blzJ+f/5eXl\nGRkZVaxYsWLFiiYmJmZmZo0bN27cuHHz5s3L+DDBHFQGAACg3Fm2bJm/v/+WLVs8PDxEt0Bz\ncVAZ8WrVqlWrVi1+bQMAAAB1Wbdunb+///r161mDKL+kMggBAAAANdq4caOvr+/KlSsHDRok\nugV4e1p4UBkAAACgVO3YsWP48OFLly4dOXKk6BbgnTAIAQAAgDewf//+QYMGzZ49+4svvhDd\nArwrBiEAAADwug4cONCnT5+pU6dOmjRJdAugBgxCAAAA4LUoFAp3d/fx48dPnTpVdAugHgxC\nAAAA4NUOHz7cq1evESNG/PDDD6JbALVhEAIAAACvcOrUKTc3N09PzyVLlohuAdSJQQgAAAC8\nzO+//96tWzd3d/fg4GC5XC46B1AnBiEAAADwr1JTUx0dHR0dHdeuXaujww/P0Db8mQYAAABe\n7MKFC05OTp07d968ebOurq7oHED9GIQAAADAC1y8eLFLly7t2rXbunWrnp6e6BygVDAIAQAA\ngOddu3atW7duLVq0+PXXX/X19UXnAKWFQQgAAAD8l+vXr3fu3Pnjjz8ODw83NDQUnQOUIgYh\nAAAA8I+bN2927drVzMxs586dRkZGonOA0sUgBAAAAP52+/ZtBweH2rVr796929jYWHQOUOoY\nhAAAAIBMJpNlZGQ4OjpWqVJl7969JiYmonOAssAgBAAAAGQZGRkODg6GhoYRERGVK1cWnQOU\nEQYhAAAApO7Bgweurq66urrR0dFVq1YVnQOUHU6oAgAAAEl78OBBt27dnj59GhMTU61aNdE5\nQJliEAKvS6lUpqenX7169caNG7m5uQ8ePMjLy8vLyyu5cP/+/by8PJlMVqFCBQMDg4oVK+rp\n6VWqVEkul1epUkUmk1WtWrVOnToffPDBBx98YGpqykfVAQAQrngNKpXK2NjY6tWri84ByhqD\nEHieSqW6dOnShQsXrl69eu3ateL//euvv27dulVUVKSrq1unTh1jY+NKlSpVqlSpQoUKJiYm\nlStXrly58kcffVS5cmVdXd379+/LZLKHDx8WFRXl5OQUFBSkp6c/efIkNzf3+vXrt27devr0\nqUwmq1q1avEyrFu3br169Zo0adKqVavGjRvr6PBebgAAysKjR49cXFzy8/NZg5AsBiEgU6lU\nFy9ePPn/Tp069fDhQyMjIzMzM1NTU1NTU2dnZzMzs/r165uamn7wwQf6+vrv8v5sSZgAACAA\nSURBVO2Kiopu3759/fr1GzdupKenX79+/ebNmwcOHFi2bFlmZmbFihUtLS1btWplZWVlZWVl\nYWHB+XABACgN2dnZLi4u2dnZcXFxNWrUEJ0DiMEghETdvXtXoVCcOHGieAQ+fPiwWrVq1tbW\nbdu2/eKLL6ytrRs0aFBK31pHR6du3bp169b93y9dv3799P/bu3fv1atX9fX1mzVr1rp1awcH\nB0dHx1q1apVSFQAAkpKTk9O9e/esrCyFQlGzZk3ROYAwcpVKJboBMplM1qhRI5lMlpaWJjpE\nmxUVFR0/fjwiImLfvn0nT56sXLlymzZtrP/fRx99JDrweVlZWcXj8NixY7GxsVlZWZaWlk5O\nTk5OTnZ2drxyCADA23n8+LGbm9vNmzcVCsULf0ULqJdSqTQ0NExKSrK1tRXd8jwGoaZgEJae\nzMzMqKioiIiIyMjIe/futW7d2tXV1c3NzcbGRldXV3Td6yoqKjp58mRUVFRUVNThw4f19fXt\n7e2Lx2GzZs1E1wEAUG7k5ua6ubldv35doVDUq1dPdA4kgUGIV2MQqt2tW7c2btwYHh5+7Nix\nSpUqOTk5ubq6urq6asG7Los/7VA8DtPS0ho2bDho0KBBgwY1bdpUdBoAABotNze3R48e165d\ni4uL+/DDD0XnQCoYhHg1BqG6PH36dN++fWvXro2IiDAzM/Pw8OjevXv79u319LTzE7NXrlwJ\nCQnZvHlzSkqKtbX14MGD+/fvz7tfAAD4X8Vr8OrVqwqFgjWIssQgxKsxCN/d9evXt2zZ8uOP\nP965c6dXr16+vr4ODg5yuVx0Vxk5e/bs9u3bN23adOXKlfbt23t4eHz22WccQRsAgGK5ubm9\nevW6ePGiQqGoX7++6BxIiyYPQk53hnIvLy9v06ZNXbp0MTMz27p168SJE2/durV9+3ZHR0fp\nrEGZTNasWbOAgIC0tDSFQmFhYTFz5sx69er1799foVCITgMAQLDc3NyePXteuXIlISGBNQg8\ni0GIciwrK2vq1Kl169YdM2ZM06ZNjx079vvvv48dO7Zq1aqi04SRy+UdO3ZctWrVrVu3tm3b\nVlBQ4Ojo2KpVq3Xr1uXn54uuAwBAgLy8vF69el25ciUuLs7U1FR0DqBZGIQol+7fvz99+vQG\nDRps3bp14cKFN2/eXLlyZZs2bUR3aRADA4NevXrt2LHj4sWL3bp1mzBhgqmp6XfffXfjxg3R\naQAAlJ3iNXj58mXWIPBCDEKUM9nZ2YGBgR999NGGDRtmzpx59uzZ4cOHGxsbi+7SXPXr11+w\nYMGtW7cWLly4a9cuMzOznj17HjhwQHQXAAClrngNXrhwISYmxszMTHQOoIkYhCg3Hj58OGPG\nDFNT01WrVi1YsCAtLc3Pz4+Ts78mIyMjb2/vlJSUvXv3FhYWOjs7t23bNiQkpKioSHQaAACl\nIi8vz93d/eLFi/Hx8Q0aNBCdA2goBiHKgUePHs2aNatBgwY///xzYGDgn3/+OWLECH19fdFd\n5Y9cLnd2do6IiDh37pyNjc2QIUMsLS1DQ0OZhQAALVO8BtPS0uLi4jiKDPASDEJous2bNzdq\n1GjNmjU//PDDhQsXfH19DQwMREeVe40bN16+fPmlS5e6du3q5eVlZWW1Y8cOTkIDANAOxccU\nZQ0Cr4NBCM115coVFxeXESNGjBkzJi0tbfTo0UxB9apTp05QUNClS5fs7e0HDRpkZWUVHh7O\nLAQAlGuPHz/u0aPHlStX4uPjWYPAKzEIoYmePn0aFBTUsmXL3NzcU6dOTZs2jc8Klp66desu\nXbr02rVrLi4uAwcOtLS0DAkJYRYCAMqjx48fF59vMCYmhmOKAq+DQQiNc/z4cRsbm5kzZy5d\nujQ+Pt7c3Fx0kSTUrFlz3rx5Fy5csLOz++yzz2xsbGJjY0VHAQDwBrKzs11cXNLT0w8ePMhr\ng8BrYhBCg2RnZ/v5+bVv37558+bnzp3z8fGRy+Wio6Tlww8//PHHH9PS0iwtLbt169a7d+8L\nFy6IjgIA4NUePXrk6uqakZGhUCjq1asnOgcoNxiE0BR79+61sLDYvXv33r17N23aVLNmTdFF\n0mVqavrTTz+lpqYqlUoLC4tRo0ZlZGSIjgIA4F89fPjQ2dn53r17sbGxdevWFZ0DlCcMQoiX\nl5c3fPjw3r179+/f/8yZM87OzqKLIJPJZM2aNYuIiAgNDVUoFE2bNl26dGlBQYHoKAAAnvfg\nwQNnZ+dHjx4pFArWIPCmGIQQLC0trX379gcOHEhMTJw/f76xsbHoIvyXXr16nTlzZvr06TNm\nzGjRosXu3btFFwEA8I/79+87OTk9fvw4Li6udu3aonOA8odBCJF27NjRpk2bunXrnjp1qm3b\ntqJz8GL6+vp+fn5paWnOzs59+/Z1dHRMSUkRHQUAgCwzM7Nbt275+fmxsbF82AR4OwxCiFFQ\nUODv79+/f/+vv/56z5491atXF12EV6hWrVpQUFBqaqqxsbG1tfWECRNycnJERwEApOvu3btd\nu3Z9+vRpbGxsjRo1ROcA5RWDEALcuHGjS5cuGzdu3Lt379SpU3V0+HNYbjRp0mTXrl1hYWFh\nYWFNmjTZsGGD6CIAgBTduXPHwcFBT08vJibm/fffF50DlGP8II6yplAo2rRpI5fLk5OTnZyc\nROfgbfTo0eOPP/4YOXKkr6+vg4PDn3/+KboIACAht2/f7tq1q5GRUXR0NG8yAt4RgxBlR6VS\nBQYGduvWzdPTk6NCl3cVKlQICAhITU3V0dGxsrIKCAh48uSJ6CgAgPa7du1ax44dq1WrFhMT\nU61aNdE5QLnHIEQZyc7OdnNzmzt3bkhISFBQkL6+vugiqEGjRo2ioqJWrlz5448/WllZKRQK\n0UUAAG126dKlTp06mZqa7t+/v3LlyqJzAG3AIERZuHPnTufOnS9dunTixInevXuLzoE6yeXy\nIUOGnD9/3s7OzsHBwdvb+969e6KjAABa6MKFC507d27atOmePXsqVqwoOgfQEgxClLq0tDRb\nW1t9ff2kpKSPP/5YdA5KRbVq1YKDgxMTE3///fdmzZpt27ZNdBEAQKucPXvW3t6+VatWO3fu\nrFChgugcQHswCFG6jh8/bmdn17Bhw+joaA4CpvXat29/6tSpCRMmDBkypEePHunp6aKLAADa\n4OzZs46Ojm3atAkNDTU0NBSdA2gVBiFKUURERJcuXXr06BEREVGpUiXROSgLenp6kydPPnHi\nREZGRosWLdatW6dSqURHAQDKsZMnT3bq1Mne3j4sLIw1CKgdgxCl5eeff3Z3d/f391+7dq2e\nnp7oHJQpCwuLQ4cOTZ06dcyYMc7Ozn/99ZfoIgBAuXTo0CEHBwc3N7dNmzbx4wRQGhiEKBVB\nQUG+vr5Lly6dOXOmXC4XnQMBdHV1J0yYcObMmcLCwubNmwcGBhYWFoqOAgCUJ/Hx8S4uLv37\n9//55591dXVF5wDaiUEINSssLPzyyy+/+eabkJCQzz//XHQOBPvoo48OHDiwcOHCOXPmdO7c\nmVPYAwBe0969e11cXEaOHLlq1SodHX5kBUoL/3VBnfLz8z08PH799dfo6GhOL4Ficrn8888/\nP3PmjImJiZWV1ZIlS4qKikRHAQA0Wmho6Keffjpp0qRFixbxViOgVDEIoTb5+fnu7u4nT55M\nTEzs0KGD6BxoFlNT03379i1btuz777/v2rXrlStXRBcBADTUhg0bBg4cOGvWrBkzZohuAbQf\ngxDqoVQqPTw8zp07FxcXZ25uLjoHGmr48OEpKSl6enoWFhZBQUEcgBQA8JzVq1cPGzZs4cKF\nkyZNEt0CSAKDEGqgVCr79u2bnJwcFxf30Ucfic6BRjMzM4uOjl68ePHUqVOdnZ2vX78uuggA\noCmWL18+ZsyY4OBgPz8/0S2AVDAI8a6eXYMNGzYUnYNyQC6X+/r6pqSkKJXKFi1aBAcHiy4C\nAIgXGBg4fvz4devWDRs2THQLICFy3rJVBubOnbtgwYKX3+fhw4eZKlWVKlXKJkmNcnJyCgsL\nK1WqxBHA8Bby8/Pz8vL09fWNjY35IwQAkpWXl5efn29iYqKvry+6BSgVS+7f/yQpydbWVnTI\n8zi/Z1kYPHjwxx9//PL7fPXVV98VFq5YsaJsktSioKBg4cKF165dCwgIeK9WLdE5KJeMZLKM\n69dXrFiRkZHhO2JE27ZtRRcBAMqUSqVau3ZtQkLCpGnTWrRoIToHKBVPnz7dNGjQJ6IzXohX\nCDVFo0aNZDJZWlqa6JDX9eTJk5J3ir5y7gIvV1BQMGfOnDlz5gwePHjp0qWVK1cWXQQAKAsF\nBQVDhw7dt2/fnj17NPCVE0BdlEqloaFhkka+QsgbtPA2lEqlp6fnyZMno6KiWIN4d/r6+gEB\nAYcOHTpy5EjLli0VCoXoIgBAqXvy5En//v1jYmJiY2M18KdkQCIYhHhjxWvw2LFjsbGxnGEC\namRjY3P69Gl3d3cHBwc/P78nT56ILgIAlJbHjx/36NHj5MmTCQkJrVq1Ep0DSBeDEG+moKDA\nw8Pj+PHjCQkJrEGoXYUKFYKCgvbu3RsSEvLJJ5+kpqaKLgIAqF9mZmaXLl3S09MTExMbN24s\nOgeQNAYh3kBRUZGPj8/Ro0fj4uKKP/QIlAYXF5fU1NTGjRvb2NgsWLCgqKhIdBEAQG1u3rxp\nb2//9OnT+Pj4Dz/8UHQOIHUMQrwBPz+/PXv27N+/n1/mobRVr149JCRkzZo1c+bM6dq169Wr\nV0UXAQDU4PLly3Z2dlWrVo2Li6tZs6boHAAMQry277//ft26dXv27OGN/igzXl5eycnJcrm8\nZcuWGzZsEJ0DAHgnZ86csbOza9KkSWRk5HvvvSc6B4BMxiDEawoKCpo7d25ISIidnZ3oFkiL\nmZlZTEzM1KlTfX19PT09s7KyRBcBAN7GsWPHOnfubGdnt3PnTmNjY9E5AP7GIMSrbdiwYcKE\nCevXr+/evbvoFkiRjo7O119/ffTo0XPnzrVs2TI6Olp0EQDgzURHRzs4OPTp02fr1q0GBgai\ncwD8g0GIV9i1a9fw4cMXLlw4cOBA0S2QNEtLy+PHj3/22Weurq6jRo3Kzc0VXQQAeC1hYWG9\nevUaNmxYcHCwrq6u6BwA/4VBiJdRKBT9+/cPCAgYN26c6BZAZmRkNG/evMjIyIiIiDZt2pw6\ndUp0EQDgFVauXOnh4TFjxoygoCC5XC46B8DzGIT4V8nJyX369Bk5cuR3330nugX4h4ODw5kz\nZ6ytrdu1axcQEFBYWCi6CADwYoGBgV999dXq1asnTZokugXAizEI8WLnz593dHTs3bt3UFCQ\n6Bbgee+9997GjRt/+umnJUuWODg4cFIKANA0RUVFY8aMmTlzZlhY2PDhw0XnAPhXDEK8wLVr\n15ycnDp27LhmzRre3QGNVXxSCpVKZWlpuWnTJtE5AIC/KZXKQYMGbdmyJTIyskePHqJzALwM\ngxDPu3fvnrOzc6NGjbZu3aqnpyc6B3gZMzOzuLi4b775Zvjw4QMGDLh//77oIgCQupycnJ49\neyYkJMTHx3O2KkDzMQjxX3Jzc93d3Q0MDH777TdDQ0PROcCr6ejoTJ48+eTJk+fPn2/WrFlE\nRIToIgCQrvv37zs7O6elpSUkJLRo0UJ0DoBXYxDiHwUFBf369btz505UVFSVKlVE5wBvwMLC\n4vDhw56enr169fL398/PzxddBACSc+3atQ4dOuTl5R0+fPjjjz8WnQPgtTAI8TeVSjV8+PBT\np05FRkbWqlVLdA7wxipUqBAUFBQREbFt2zYbG5uUlBTRRQAgIampqba2trVr11YoFPwgAZQj\nDEL87euvvw4PD4+IiGjYsKHoFuDtOTk5/fHHH5aWlm3atOGkFABQNhQKRceOHdu2bRsREVG5\ncmXROQDeAIMQMplMtnDhwuXLl4eHh7du3Vp0C/CuqlSpsmnTpjVr1ixevLhbt27Xrl0TXQQA\n2mz79u0uLi4+Pj4hISFGRkaicwC8GQYhZBs3bpwyZcrGjRu7du0qugVQmyFDhiQnJxcWFrZs\n2ZKTUgBAKQkKCho0aNDs2bMXL16so8MPlkD5w3+3UnfgwIERI0YsWrTIw8NDdAugZvXr11co\nFDNmzBgxYkS/fv3u3bsnuggAtIdKpQoICJg0adKGDRsmTpwoOgfAW2IQStqxY8f69OkzZcoU\nPz8/0S1AqZDL5X5+fidPnrx8+bKFhcXu3btFFwGANnj69OnIkSMXLVq0c+fOQYMGic4B8PYY\nhNKVlpbWs2fPgQMHzpgxQ3QLULqaN29+9OjR0aNH9+nTZ9SoUTk5OaKLAKAcy8nJ6dWr1969\ne+Pj411cXETnAHgnDELp6tu3r62t7cqVK0WHAGVBX18/ICAgJiYmKirK2tr62LFjoosAoFy6\nffu2vb39pUuXDh06xLHoAC3AIJSu9evX//rrr7q6uqJDgLJjb2+fnJzcvn37Dh06BAQEPH36\nVHQRAJQn586ds7W11dfXT0pKatCggegcAGrAIJQuKysrQ0ND0RVAWatcufIvv/yybdu2FStW\ntG/f/ty5c6KLAKB8iI+P79Chg6WlZWxs7Pvvvy86B4B6MAgBSNGnn376xx9/1KtXr3Xr1oGB\ngUVFRaKLAECjhYSEuLi4eHl5hYaGGhsbi84BoDYMQgASVbNmzbCwsA0bNgQGBnbs2PHixYui\niwBAQwUFBQ0cOHDy5MlBQUF82ATQMgxCAJLm4eFx+vRpQ0NDa2vr4OBglUoluggANEhhYeHn\nn38+ZcqUzZs3BwQEiM4BoH4MQgBSZ2ZmFhMTs2DBAn9//+7du9+8eVN0EQBohJycHHd395CQ\nkOjo6P79+4vOAVAqGIQAIJPL5b6+vsePH793717z5s03b94suggABLt586a9vf358+cPHTpk\nZ2cnOgdAaWEQAsDfzM3NDx8+PG7cOB8fn8GDB2dlZYkuAgAxUlJS2rZta2xsfPTo0caNG4vO\nAVCKGIQA8A89Pb3vv//+0KFDycnJFhYWe/bsEV0EAGUtMjKyY8eOHTp0iI6Orl69uugcAKWL\nQQgAz2vTps2JEye8vLx69+7t4+Pz4MED0UUAUEZWrFjRo0ePMWPGbN261cjISHQOgFLHIASA\nFzAyMgoMDExKSjpy5Ii5ufmuXbtEFwFA6SosLJwyZYq/v//atWvnzJkjl8tFFwEoCwxCAPhX\nbdu2PX369JAhQz799FNPT8/79++LLgKAUpGTk9O7d+81a9ZERkYOGTJEdA6AssMgBICXMTIy\nmjdv3sGDB5OTk62srA4cOCC6CADULD09vWPHjn/++eehQ4c6d+4sOgdAmWIQAsCrtW/f/tSp\nUz179nR2dv7yyy9zcnJEFwGAehw+fNja2vr9998/duxYkyZNROcAKGsMQgB4LRUrVly2bNmB\nAwciIiJatmwZExMjuggA3tWWLVu6du366aef7tu3r0qVKqJzAAjAIASAN9ClS5c//vjD09PT\n2dnZ29ubTxUCKKdUKlVgYOCQIUMCAgJWrlypp6cnugiAGAxCAHgzxsbG8+bNi4mJOXToUKtW\nrSIjI0UXAcCbyc3NHThw4Jw5c8LDwydPniw6B4BIDEIAeBv29vYpKSl9+vRxc3MbPnw45yoE\nUF5cv369Y8eOR48eTUxMdHNzE50DQDAGIQC8JWNj4yVLlhw8ePDQoUPm5ubh4eGiiwDgFQ4d\nOvTJJ58YGxsfOXKkZcuWonMAiMcgBIB30r59++JzFfbr18/T0/PevXuiiwDgxTZv3uzg4NCr\nV6+YmJhatWqJzgGgERiEAPCuis9VmJiYeObMmRYtWuzYsUN0EQD8l6dPn/r5+fn4+CxevHj1\n6tUGBgaiiwBoCgYhAKhHu3btTp8+PWLEiAEDBvTt2/fWrVuiiwBAJpPJsrKyXF1dt2zZEh0d\nPXr0aNE5ADQLgxAA1MbQ0HDWrFknT55MT083NzcPDg5WqVSiowBI2oULFzp06HDnzp1jx47Z\n29uLzgGgcRiEAKBmLVq0OHz48Pz58ydMmNC5c+cLFy6ILgIgUfv27fvkk08aNmyYmJjYoEED\n0TkANBGDEADUT0dHx9fX9/Tp07q6ulZWVosXLy4sLBQdBUBCVCrVzJkze/bsOW7cuN27d1eu\nXFl0EQANxSAEgNLy8ccfx8TELFmyZObMmba2tmfOnBFdBEASHj586O7uvmjRopCQkICAALlc\nLroIgObSEx1QujIzM+Pi4tLT0+/du2dqatqkSZOmTZu+xXGW7969e/z48ZKrnMUVwGuSy+Uj\nR450c3P74osvrK2tJ0+e/O233xoZGYnuAqC1/vjjjz59+ujp6R09erRp06aicwBoOq0dhAqF\nYubMmQkJCc+9TUsul/fu3XvatGlWVlav/2zHjx/v0aNHyVWOEgHgjdStWzc8PDw0NPSrr77a\ntm3b6tWrO3fuLDoKgBbavn378OHDnZycfvnll0qVKonOAVAOaOFbRnNycjw8PLp06RIXF/e/\nH9pRqVRhYWGtW7f29PR8/PixkEIA0tSvX79z5865uLg4Ojp6e3tzCnsAalRYWDhlypTBgwdP\nmDAhJCSENQjgNWnbIMzIyLC3tw8NDX3lPUNCQhwdHbOyssqgCgCKvffee0FBQQkJCadOnWrS\npElwcLDoIgDa4N69ey4uLmvXrt27d29AQICOjrb9gAeg9GjV3xdFRUUDBw48derU/35JT+8F\nb449cuSInZ3dnTt3Sj8NAP5ha2t7+vTpSZMm+fn5denShfNSAHgXp0+ftrGxuXfv3vHjx52c\nnETnAChntGoQLl26NCYm5tlbbG1tw8LCsrKyCgoKMjIy4uPjvby8nh2H586dGzZsWJmXApA6\nfX39yZMn//777zKZzMrKasGCBU+fPhUdBaD8+emnn2xtbTt16nTo0CHONAjgLWjPIHzy5Mn8\n+fNLrhoYGMydO/fgwYO9e/euWrWqTCZ7//33O3XqtGHDhtTU1IYNG5bcMyIiYs2aNQKKAUhe\nkyZNYmNjly1bNm/ePBsbmyNHjoguAlBu5ObmDh069Msvv1y0aNH69esrVKggughAuaQ9gzAs\nLOzWrVslV+fPnz9lypQXvoe+adOmhw8fbt26dckt/v7+V65cKYtKAPhvcrl82LBh586ds7Cw\n6NChw+eff37//n3RUQA03fnz59u2bRsfH3/w4MEvvvhCdA6Ackx7BmFsbGzJZRsbm7Fjx77k\nzjVq1AgNDS05AFdOTs64ceNKtw8A/l3NmjU3btwYFxeXkJDw8ccfBwcHc3obAP9mx44d7dq1\nq1+//smTJ21sbETnACjftGcQPvtWq5kzZ77y+FoNGjRYvnx5ydVdu3bFxcWVVhwAvIZOnTr9\n/vvv06dP9/f379y589mzZ0UXAdAsT5488fPz69+//7hx43bu3FmtWjXRRQDKPe0ZhHfv3i2+\noKen16VLl9d5iLe3t729fcnVCRMmFBUVlUocALwefX19Pz+/lJQUY2PjVq1a+fn5ccZUAMWu\nXbtmb2//22+/xcXFcW4JAOqiPX+VlHzqpkaNGoaGhq/5qKVLl+rq6hZfPn369MaNG0slDgDe\nxEcffbRv377ffvstLCysZcuW+/fvF10EQLDdu3e3atXK2Nj4xIkTdnZ2onMAaA/tGYTGxsbF\nF5RK5es/qmXLlqNGjSq5+t133+Xm5qq5DADeSs+ePVNTU7t3796jR4/+/funp6eLLgIgQEFB\nwYQJE/r06ePn53fgwIHatWuLLgKgVbRnEJb8/ZiZmfno0aPXf+CsWbNK3oJ/48aNadOmqT8O\nAN7Ke++9t2zZsqNHj169etXc3HzBggUFBQWiowCUncuXL9vZ2W3atGn//v3ff/89bxMFoHba\n89fKs78w27Vr1+s/sFq1arNnzy65umTJksTERHWWAcC7sba2Pnz48IoVKxYuXNi8efPIyEjR\nRQDKQmhoqLW1tYmJyenTpx0dHUXnANBO2jMI27VrV3I5KCiosLDw9R87atSokqM2FxUV+fj4\n5OTkqLkPAN6BXC739vY+f/68q6urm5tbz549r127JjoKQGnJy8vz8/MbOHCgn59fdHR03bp1\nRRcB0FraMwg9PDxKLp84ceKN3vmpo6OzcuXKkqPLXLx40d3d/cmTJ2pOBIB3U7Vq1aCgoOPH\nj2dmZpqbmwcEBLzRp6YBlAunTp1q1arVzp074+PjOZoogNKmPX/FtG7dukmTJiVX586dO2bM\nmPz8/Nd8uLW19bMbMjY21tPTMzs7W82VAPDOrKysEhMTFy9evHz5cisrK86hCmgNlUq1ePHi\n9u3b29jYpKSk2Nraii4CoP20ZxDKZLIVK1Y8d7Vhw4Z+fn4xMTElZyl8iWnTpj17AsNdu3Y1\na9YsNDSUX8AD0DQ6Ojq+vr5//vmnnZ2do6Ojp6fn1atXRUcBeCd37951c3ObPn36mjVrNm3a\nVLlyZdFFACRBqwahg4PDs+eQkMlkN2/eXLp0qaOjY61atQwNDZcsWfKSh+vo6ISEhDRv3rzk\nlvT0dA8Pj+rVq3/33XelFQ0Ab6t69eqrV68+evRoenp6s2bNZsyYkZeXJzoKwNuIjo62tLS8\ne/fuqVOnvL29RecAkBCtGoQymWz58uW+vr4v/JJSqXz8+PHLH169evXo6Ghzc/Nnb8zJyUlO\nTlZbIgCoVZs2bZKSklatWhUcHGxubh4aGiq6CMAbKD5+jKur6+DBgw8dOtSoUSPRRQCkRdsG\noZ6e3urVq5cuXWpiYvJ2z1CnTp2jR496enqqNwwASo9cLvfy8rpw4cLQoUO9vLy6dOmSkpIi\nOgrAq6WkpLRr1y4kJGT37t0LFy40MDAQXQRAcrRtEBYbO3bsxYsXp06d+uxhZl5fpUqVtm3b\ntm/fvtatW6u9DQBKScWKFQMCAlJTU2vUqGFlZeXt7Z2RkSE6CsCLPX36gC2DLwAAIABJREFU\nNDAw0MbGpkmTJmfOnHF1dRVdBECi5CqVSnRD6crIyEhNTb127dqDBw/atGljZ2f3Rg9PTk4O\nDQ09ePBgcnLygwcPim8sjX9oxW8RSUtLU/szA5Cgffv2jRs3Lisra+bMmSNHjtTT0xNdBOAf\naWlp3t7eaWlpK1eufPa8Wfi/9u48voa7ffz/ZEdCE5EUSVBbEpEgtlhDJKEIwZ2bu3Y3LdrS\nqqKWu3atKtX709Kq6qaW2glCYt+X2JMoIrLJHkRkkZx8/8jjPr/5BclxtjnnzOv518wx835f\nx1yZmevMzHsAU1VcXGxjY3P69GkDHD3Y9AtCLUpLS8vIyEhPTw8KCtJ64xSEALSruLj422+/\nXbx4saur69dff927d2+pIwIglJWV/fDDD9OnT+/Wrdv69et54zwgE4ZcEJrmLaM6UrduXR8f\nH11UgwCgddbW1tOnT4+Pj+/Vq1f//v2DgoJu3LghdVCArKWnpw8cOHDatGnz5s0LDw+nGgRg\nCCgIAcCU1a5de/Xq1VevXrWwsPD19f3ggw+ysrKkDgqQoz///NPLyysjI+Pq1aszZ840N+cc\nDIBBYGcEAKbPy8vr4MGDu3fvPnLkSLNmzVauXFlcXCx1UIBcpKamDhw4cOzYsR999NGpU6ea\nN28udUQA8P+hIAQAuejbt+/169cXLVq0dOnSli1b7tq1S+qIANO3YcMGLy+vhw8fXr58ee7c\nuYzwBMDQUBACgIxYWlp+8MEHd+7c6d+//9ChQ7t3737+/HmpgwJMU2Ji4ttvvz158uTPPvvs\n7NmzLVu2lDoiAHgJfqaqWmpq6qpVq8SffPXVV1IFAwCac3BwWLly5UcffTR37txOnTr169dv\n1apVTZs2lTouwESUlZWtW7fu008/9fLyunLlioeHh9QRAcAr8dqJql27dq1169biT3gPIQCT\ncfHixRkzZpw+fXrs2LELFy588803pY4IMG7379+fMGHCmTNnPv/88+nTp1tYWEgdEQDp8doJ\nAICBat++/dGjR7dt23by5El3d/dly5YVFBRIHRRglEpLS7/55htvb2+FQnHz5s2ZM2dSDQIw\nfBSEAABhwIAB169fX758+X//+9/mzZtv2LBBoVBIHRRgTC5dutSxY8f58+evWLEiKiqqcePG\nUkcEACqhIAQACIIgWFpavvvuu3fu3Bk/fvyUKVN8fHx27drFYwVAlZ48eTJlyhQ/P7+mTZvG\nxsZOnDjRzMxM6qAAQFUMKlM1e3v7YcOGSR0FAOiDra3t559//t577y1ZsmTo0KFt2rRZsmRJ\nr169pI4LMFDbtm2bOnVq9erVw8PDe/fuLXU4APDaGFTGUDCoDABDk5iYuGTJkvXr1/v5+S1b\ntqxbt25SRwQYkJSUlClTpuzdu3fSpElLly61tbWVOiIAhotBZQAAxqdBgwY//PDDjRs36tev\n7+/vHxQUdO3aNamDAqRXUlKyevVqDw+PjIyMK1eurF69mmoQgPGiIAQAVMbT03Pr1q3nzp0T\nBKFt27ajR49OSEiQOihAMsePH2/Tps2iRYu+/fbbEydOeHl5SR0RAGiEghAAULUOHTocPnw4\nIiLi9u3b7u7ukyZNSkxMlDooQK8SExOHDh0aEBDQoUOHuLi4sWPHMngMABNAQQgAUFWvXr3O\nnj27bdu2CxcuNGvW7P33309OTpY6KEDnnj17tmDBAk9Pz6SkpPPnz69fv75OnTpSBwUA2sEo\no/qwZcuWn376qfJlUlNTa9WqpZ94AEBtZmZmISEhISEhkZGRn332WZMmTcaMGTNv3jxXV1ep\nQwN0Yu/evVOmTCkuLl61atX48ePNzfkxHYBJkV1BmJeXl5qami9iZWVla2trZ2dna2vr4uLi\n4OCg9U7r1q3btm3bypeJj493cnLSetcAoCOBgYGBgYGRkZGzZs0qLwv/85//uLi4SB0XoDWx\nsbEfffTRsWPHJk6cuGjRIn63BWCSTL8gzM/P379//4kTJ+Li4uLi4qq8u8nZ2dnDw6NFixbB\nwcFBQUF2dnaax+Dv7+/v71/5Munp6Zp3BAB6FhgYePHixR07dixYsKBp06bvvffezJkz69Wr\nJ3VcgEaysrLmzZu3bt26kJCQ2NjYxo0bSx0RAOiKKb+HcPfu3b/88svBgwcLCwvVa8HGxiYg\nIOCTTz7Rw0uZx44dKwjChg0bdN0RAOiCQqHYvn37woUL7969O3bs2E8//fStt96SOijgtRUU\nFKxevfrLL790cXH55ptvAgMDpY4IgCngPYT6dunSpe7du4eGhu7atUvtalAQhKKiogMHDgQG\nBnbt2vX8+fNajBAATIy5uXlYWNj169c3bdp06dKl5s2bjx49OjY2Vuq4AFWVlpauX7++WbNm\nq1evXrZs2dWrV6kGAciBCRaEy5cv79Chw8mTJ7XY5unTp7t3717lwDAAIHNmZmahoaEXLlw4\nevRoTk5Oy5YtQ0JCLly4IHVcQBUiIyN9fX2nTp06YsSI27dvT5w40dLS9B+rAQDB9J4hXLBg\nwfz581/83N7evmPHji1btnRzc3N1dXV0dKxWrVr16tWtrKyKi4sLCwsLCwtzcnKSk5NTUlLi\n4uIuXLiQlpYmbqG4uHjChAkZGRmzZ8/W05cBAKPVtWvXrl27njlzZtmyZX5+fp07d545c2ZI\nSIjUcQEVnT9/fubMmWfOnBk7dmxERETdunWljggA9MqkCsLjx48vWLBA/Imzs/PIkSNHjhzp\n4+Pzum+PvX///ubNm3/99dfbt28rP/zPf/7TpUuXKkeIAQAIgtC5c+e9e/devXp16dKloaGh\nnTt3nj59ekhICAP3wxDExcXNnj179+7dYWFhsbGxTZo0kToiAJCA6RySS0tLJ0yYoBwjx9zc\nfOrUqffu3VuxYkWrVq1etxoUBOGtt9767LPPYmJivvvuO+VI06WlpWPGjFEoFNoMHQBMWuvW\nrbdu3RoTE+Pu7j506FBPT8+1a9cWFBRIHRfkKz4+fty4cd7e3o8fPz5//vzmzZupBgHIlukU\nhEeOHLlz545ydu3atd98843mL40wNzefPHlyVFSUsqmEhITIyEgNmwUAuXF3d//pp58SEhLC\nwsLmzp3boEGDzz//PCMjQ+q4IC/37t0bN26cu7t7XFxceHh4VFRUu3btpA4KAKRkOgXh5s2b\nldPDhw+fMGGCFhtv167dypUrlbO///67FhsHAPmoW7fu4sWLU1JSvv7667/++svNzW3UqFG3\nbt2SOi6YvoSEhPfee8/DwyMuLm7Hjh1nzpwJDg6WOigAkJ7pFIRXrlxRTk+bNk3r7Y8aNcrR\n0bF8moHUAUATNjY2o0aNunnz5ubNm+Pj4729vUNCQqKiokz41biQ0L1798aOHdusWbObN2+G\nh4efOXOG8Y0AQMl0CsLk5OTyCQsLCx8fH623b2Nj4+XlVT6dlJSk9fYBQG7Mzc0HDRp06tSp\nM2fOVK9evU+fPl5eXt9//31eXp7UocFE3L17d+zYsR4eHn///Xd4ePjp06e5KggAFZhOQag8\ngahRo4aO3h2kvELIyQoAaJGfn9/WrVsTEhKGDBmycOFCV1fXDz/8MC4uTuq4YMQuXLgQFhZG\nKQgAVTKdgtDFxaV8Ii8vLycnRxddJCQkVOgLAKAtLi4uixYtSkxM/Omnn+Li4jw9Pbt27frX\nX3+VlJRIHRqMRllZWWRkZEhISMeOHR8+fLhz505KQQConOkUhG+99ZZyevv27Vpv/969e9ev\nXy+fdnNz03r7AABBEKytrcPCwg4fPnz58uXmzZuPGjWqadOmX3zxRVpamtShwaAVFRWtX7/e\ny8urX79+Tk5ON2/ePHXqFM8KAkCVTKcgFO/0lyxZkpmZqcXGFQrF9OnTS0tLy2d79eqlxcYB\nAC/y9fX9+eefk5OTJ0+evG7dOjc3t9DQ0H379il3xUC53NzcZcuWNWrUaPr06QMHDkxISPj5\n55+Vj/0DACpnOgXhsGHDlI8OPnjwoE+fPsphZjRUUFAwbty4Xbt2lc+am5uPHj1aKy0DACrn\n6Og4Y8aMO3fuHDx4sEaNGmFhYQ0aNJgzZ869e/ekDg3Su3HjxuTJkxs0aLB27doZM2YkJiYu\nW7asXr16UscFAMbEdApCZ2fnjz/+WDkbHR3dokWL5cuXa/I8YWFh4caNGz09PX/99Vflh6NG\njXJ1ddUoVgDA6zA3N+/Vq9eff/6ZkpIyc+bMffv2NWvWLCAgYOPGjYWFhVJHB30rKir6888/\nu3Xr5uPjc+PGjR9//PHu3bsff/xxzZo1pQ4NAIyPmSm99KmgoMDHx+fu3bviD62trfv169ej\nRw8/P7+WLVvWqFGj8kaKi4vj4uLOnz9/+vTpXbt2PX78WPyvzZs3v3z5sp2dndaDHzt2rCAI\nGzZs0HrLAGB6Ll68uH79+k2bNllYWAwbNuydd97p0qWLmZmZ1HFBt+Lj43/88ceff/65sLBw\nxIgRkyZN8vb2ljooAKhacXGxjY3N6dOnO3fuLHUsFZlUQSgIQkJCQq9eveLj41+1gKOjo6ur\na506dapXr16tWjVra+vnz58XFhYWFhbm5OSkpKSkp6e/6v+kcePG4eHhHh4euoicghAAXld+\nfv62bdt+++23Y8eOubm5vfPOO8OHD+fhMdNTWlq6f//+NWvWREREeHt7T5w4cfjw4VwPBGBE\nKAj1KiUlZfz48QcPHtRus7179960aZODg4N2m1WiIAQAtaWkpGzZsmXjxo3R0dGtWrUaPnz4\nv/71L27vNwExMTF//PHHH3/8kZGRERYWNmnSJAM8lwKAKhlyQWg6zxAqubi4HDhw4MCBAy1b\nttRKg35+fuHh4QcPHtRdNQgA0ISLi8u0adMuX74cExMTEhKydu3ahg0b9uzZc926dVlZWVJH\nh9eWkZGxevXq9u3be3l5HTp06JNPPklOTv79998N8EQKAIydCV4hFLt06dL27du3bdtW4cFC\nVXh7e/ft23fAgAH6OfxwhRAAtKWsrOzs2bN//vnnX3/9lZ2d3a1bt0GDBg0aNIi3yBq4goKC\nPXv2/P777xEREfXq1Rs+fPjIkSNbtGghdVwAoClDvkJo4gWhUnp6esz/pKenP/2fgoKCatWq\n2dra2tra2tnZNWzYsHnz5s2bN/fy8tLzuNUUhACgdaWlpadPn965c+fOnTsTExPbtm07ePDg\nQYMG6ehpcKjn+fPnR48e3bJly/bt2xUKxZAhQ0aOHNmjRw9zcxO8jwmAPFEQomoUhACgU9HR\n0Tt27Ni5c2dMTIynp+egQYMGDBjQrl07CwsLqUOTqfz8/IMHD+7atWvfvn3Pnj3r1avXiBEj\nQkNDqxwPHACMjiEXhJZSBwAAgD74+vr6+vouXrz49u3b5dcMv/jiCwcHh6CgoN69e/fu3ZsX\nmutHTk7O3r17d+7ceejQIXNz8z59+vzf//1fv3797O3tpQ4NAOSIK4SGgiuEAKBnGRkZhw4d\nOnjw4KFDh7Kyslq1alVeGXbp0sXa2lrq6ExNXFzc4cOHd+/effz48TfeeCMkJGTQoEFBQUHV\nq1eXOjQA0DmuEAIAYHCcnZ1HjBgxYsQIhUIRHR0dERFx8ODBr7/+ulq1agEBAf7+/t26dWvT\npo2lJcdKNWVkZERFRR0+fDgyMjIpKalRo0b9+/efPXt29+7d+V8FAAPBFUJBEITk5OTs7Ozy\n6VatWkkSA1cIAcAQPH78ODIyMjIy8vjx47GxsXZ2dp07d+7WrZu/v3/79u2rVasmdYCGrqCg\n4OTJk5GRkYcPH7527dobb7zRs2fPoKCgwMDAZs2aSR0dAEjDkK8QUhAKgiBMmjRp7dq15dNS\n/YdQEAKAocnIyDh16tSJEydOnjx57do1S0vLDh06dO/evVOnTm3btq1bt67UARqKhw8fnjt3\n7uzZs+fOnbt48WJpaWmnTp3Ki8D27dszbA8AGHJByA0bAAC8nLOz8+DBgwcPHiwIwpMnT06d\nOnXq1Kljx46tXLmyoKDAxcXF19e37f/Iakya4uLi6Ojoc+fOnT9//uzZsw8ePKhZs2b79u27\nd+8+a9as7t2729nZSR0jAEAlFIQAAFStVq1affv27du3ryAIJSUlMTExly9fvnz5ckRExPLl\ny589e1a/fv3ygUy9vLzc3d3d3d1N6f7S1NTUW7du3bx5MyYm5vr169euXSsuLvbw8PDz85s9\ne3anTp1atGjBlUAAMEYUhAAAvB5LS0sfHx8fH5/yu/1LSkpiY2MvX74cHR195MiR7777Ljs7\n29zcvFGjRu7u7p6enu7u7h4eHp6enk5OTlLHXrWysrKHDx/+/fffMTExN27ciImJuXnzZk5O\njpWVlbu7u5eX14ABAxYsWODn58eLIgDABFAQAgCgEUtLS29vb29v7zFjxpR/kpmZGRsbe/v2\n7du3b8fExOzatSshIUGhUNSqVcvNzc3Nzc3V1dXNza1Bgwaurq6urq4NGjTQ/9vYnz9/npKS\n8uDBgwcPHiQkJDz4n6SkpKKiIgsLi8aNG3t7e3fv3v3999/38vJq3ry5lZWVnoMEAOgaBSEA\nAFrm5OTk5OTUvXt35SeFhYW3b99OSEhITExMSkpKTk4+fPhwUlJSamrq8+fPBUGwt7d3cnJy\n+J/atWuLp+3s7MzMzJRX5N544w1zc3NBEGrWrGlpaVlSUpKXlycIQn5+fnFxsSAIubm5giAU\nFRXl5eVlZ2dnZ2fn5OSIJ7Kysh49eiQIgrm5ef369Rs2bNioUaOOHTuGhYU1bNiwYcOGb731\nlind8goAeBUKQgAAdK5atWqtWrV68c1GCoUiLS0tMTHx4cOHmZmZubm5ubm5OTk5GRkZt2/f\nLp/Ozc19/PixGp06ODhYW1vXrl3b0dHR0dGxdu3aXl5ejo6OderUKZ8tv1zJdT8AkDMKQgAA\nJFN+ga5+/fqqLPz8+fOnT58KglBaWvrkyZPyD3Nzc8svGFpaWtasWVMQBFtbW2tra93FDAAw\nJRSEAAAYBysrKwcHh/LpOnXqSBsMAMA0mEsdAAAAAABAGhSEAAAAACBT3DIqCILg7e3dv39/\nqaMAAAAAAL2iIBQEQZg8efLkyZOljgIAAAAA9IpbRgEAAABApigIAQAAAECmKAgBAAAAQKYo\nCAEAAABApigIAQAAAECmKAgBAAAAQKYoCAEAAABApngPoaGwtrb+8ccff/nlF6kDAQAAAKB9\n1tbWUofwEmZlZWVSxwBBEITc3Nz4+Hh99ujv7z9hwoS2bdvqs1MYtfDw8AsXLixYsEDqQGBM\nRo8ePWPGDC8vL6kDgdHYvn37nTt3Zs2aJXUgMBrPnz8fN27c/PnzmzRpInUsMBobN2588uTJ\nt99+q7ceLS0tW7VqpbfuVMcVQkPh4OCg59rMysrK398/NDRUn53CqKWmpsbHx48YMULqQGBM\nxo4d26tXr8DAQKkDgdH4+++/8/Ly2NVAdQUFBePGjevTp0/Hjh2ljgVGIzo6Oj4+nksjAs8Q\nAgAAAIBsURACAAAAgExREAIAAACATFEQAgAAAIBMMagMAMA4HD9+/O7du4Ig1KtXr2/fvlKH\nAwCQWGZm5pMnTwRBePPNN+3s7KQOx1hREBqZjIyMrVu37tmzJyEhITk5uWbNmq6urm3atBk2\nbFjPnj0tLCxMuHeoR9qtdvXq1b/++uvs2bNpaWlpaWn5+fmOjo7Ozs5+fn49e/YMDQ21sbHR\naQBQjwH+scfExLz99tsFBQWCIPTo0YOC0NBInjOZmZm///57VFTUgwcPEhISLCwsnJ2dO3bs\n2Ldv37CwMCsrK10HADVImDYKhSIiIuLQoUOnTp1KTU3NysqqUaNGnTp1vLy8evbsOWTIEFdX\nV931Dm0ZMmTIyZMnBUHYvHnz0KFDdd2d5Ds6XSmDkXj27NmMGTMsLV9Zwzdv3vz48eOqN2hv\nb79z506peoceaH2rffnllx06dFBx4aioKHd398r3P/Xq1fvmm29KS0vV+n7QCa2njaWl5eHD\nhzWMqqioSPzuph49emjYILRI6zkzb968Xr16qb58Zmbm8OHDK3ndc8OGDXfs2PH63ww6pN20\nefbsmSAI586dU3H5LVu2VH6EsrKyGjNmTHp6urrfD/qQmZmprME2b978uqt//PHHAwcOVHFh\n0z4TpiA0DgkJCc2aNatkz1XOzMxs/vz5KrapekGoi96ha7rYaioWhM+fP584caKZmVmVvZcL\nDAzMyMjQ7OtCO3SRNlopCD/55BNxABSEhkMXOfNaBWFkZGS9evVU2dXMnj1b3W8JLdN62qhe\nEBYVFY0ZM0aVhBEEoW7duseOHdP460JXVq5cqdxYOi0ITf5MmILQCKSkpDRp0uTFtKtZs+ZL\nr00vX75clWZVLAh11Dt0SkdbTcWC8L333nvpjtLBwaFu3bovDaBt27ZPnz7V+HtDIzpKG80L\nwsjIyAq/L1AQGggd5YzqBeHBgwdf2lGtWrVeuhdauXKlZt8YWqCLtFGxIFQoFK+6q9DW1tbc\n/CVDLdra2l68eFFLXx3a9OzZs0aNGim3lO4KQjmcCVMQGoE+ffqI86xBgwZr167NzMwsKysr\nLi6+dOnSO++8I17AzMzs0qVLVTbr7OwcHh4uVe/QKR1ttVWrVnXt2rXyZb799tsKe8a2bdv+\n9ttvjx49Kl+goKBg//797dq1q7BYWFiY5l8cmtBR2tSoUUOTu2iys7NdXFwqZAsFoYHQUc4s\nXLjw7bffrnKx2NjYN954Q9x+v379Dh8+nJeXV1ZWlpWVFRER0aFDB/ECVlZWsbGxmn9xaEIX\naVNUVGRhYREdHV35Yi8eoYKCgiIiIpKTk8vKyp49e3blypXly5dX+EGhQYMGBQUF2vr60JZJ\nkyaJN5MaBeHMmTNVOfeQw5kwBaGhO3jwoDjJ2rRp89I72tesWSP+Zat79+5Vtnz//v2SkhKp\neofu6G6rPXv2LDU1tZIF0tPTK4zxNWvWrJemWUlJycqVKys888OdORLSXdrEx8crFAq1Axsy\nZIjwAgpCQ6C7nHn69GlaWlrlyygUitatWyubtbCw+O67715crLS0dObMmeI4+/fvr+IXhC7o\nLm3u3btX+QK5ubkODg7KNs3Nzf/888+XLvnw4cPOnTuL41y6dKkq3w76ER8f/+KhQY2C8PHj\nx+V1XSVkciZMQWjoWrZsqUwvOzu7xMTEVy05ZcoUccru3r3b2HuHeiTcanPnzhU3+P7771e+\n/LJly8TLBwQEaBgA1GaYf+w///yz8DIUhIZA2pzZtm2buM0vv/zyVUuWlpYGBAQolzQ3N68k\nVOiahGmzYcMGcYPTp0+vZOH4+Hjx75vNmjXTsHdo4vnz53fu3Nm9e/e8efO6dOny0kEK1CgI\nVWGYB0etoyA0aJcuXVLxgFdWVpaXl+fk5KRcODQ01Kh7h3qk3WriQdvq169f5T02JSUlnTp1\nUq5iYWGRlZWlYQxQg2H+sd+9e1d5QlarVi0/Pz9lpxSEkpM2ZxQKhbe3t7LBzp07Vz5Y8a1b\nt8TRrlixQsMAoB5p0+Yf//iHsrVq1apVeYSaNWuWONo7d+5oGADU9uKDAy/SRUFomAdHXXjJ\n47MwHOJfQK2trf/9739XsrCdnd3IkSOVsxEREfn5+cbbO9Qj4VbLzMy8ffu2cvYf//hHtWrV\nKl/FwsJixowZytnS0tJjx46pHQDUZoB/7CUlJSNGjHj69Gn57LfffisePACSkzZnTp48eePG\nDeXsnDlzXjociFKLFi28vLyUs2fPntWkd6hN2rSJj49XTrds2bLKI1SFZ93Fq0PPSktLJenX\nAA+OOkJBaNC2b9+unO7bt6+jo2Ply4sTsXzoDuPtHeqRcKvdvHlTPDtgwABV1vL39xfPJiUl\nqR0A1GaAf+yLFi06d+5c+fSgQYNGjx6t9S6gCWlzZt++fcrpJk2avP3221WusmLFisX/ExQU\npEnvUJu0aZOVlaWcrvI1uYIgtGjRQjybkZGhSe8wRgZ4cNSRV75dEZLLyMi4c+eOcrZHjx5V\nrtKqVSt7e/tHjx6Vz544cSIsLMwYe4d6pN1qDx48EM+Kb+iqhIODg6WlZUlJSfms+IAN/TDA\nP/azZ88uWbKkfLpu3bo//vijFhuH5iTPmb179yqn+/btq8pbT/v06VNhqEDomeRpU7t27cTE\nxPJpVX58TE1NFc+KB6SBnu3YsaO4uLjCh0+fPu3fv7/uOpU8Y/WJK4SGKyYmRjwrftTqVczM\nzDp27KicjYuLM9LeoR5pt5pyDygIgrW1tbOzsyprZWVlKatBQRAaNGigdgBQj6H9sefl5Y0Y\nMUJ5g9D69evr1KmjxfahOWlzJjk5Wbx6YGCg2k1BnyTf1YifQ7t27VqVy1+5cuVVq0PPOnXq\n5P+Crl276rRTyTNWnygIDVeFh+DFwxxVQryYJokobe9Qj7RbrV27dso7sr788ksV14qNjRXP\nqnIbD7TL0P7YP/jgA+WzOhMnTuzbt68WG4dWSJszFdZ98aWmMEyS72pCQ0OV048fP/7pp58q\nWTg/P198b0KjRo18fHw06R1GR/KM1SduGTVc4l8mHB0da9Soocpabm5uyunk5OS8vLyaNWsa\nXe9Qj7RbrWvXrmr8XLdu3TrltJmZmYeHhxpdQxMG9ce+devW3377rXy6adOmK1as0LxNaJ20\nOfP3338rp2vUqFGvXj01GoH+Sb6rGT58+Ny5c9PT08tnP/744y5dunh6er64pEKh+PDDD8W3\nC06dOrXygYtgeiTPWH0iuQ2Xcp8lCIKrq6uKa1VYssId8MbSO9RjdFstLi5u06ZNytnQ0NA3\n33xTb72jnOGkTXJy8sSJE8unLSwsfv/9d1tbW82bhdZJmzPigrBJkybKBwjv3bu3bNkyf3//\nJk2aVK9evXbt2i1atBg2bNjGjRufPHmiXl/QIsl3NdWrV9+zZ49h5vb5AAAO0UlEQVTytP7p\n06e+vr7z588Xp0dZWdnJkyfbt28vfmnhsGHDpk6dqna/MFKSZ6w+cYXQcCnHWxcEQfVHaGrX\nri2eVXvEW2l7h3qMa6tlZWWFhISIHyCs8F576IeBpI1CoRg1alRubm757Jw5c8QvHoRBkTZn\nlOOCCIJQPujf48ePP/30U/HtBoIgFBYW5ubmxsbGbtmyxdHRcc6cOR9++KGlJac9kjGEXU2H\nDh327t37r3/9q3zI0MLCwgULFixcuNDNza1Zs2a5ublxcXHPnj0TrzJq1Kh169apMnARTIwh\nZKzecIXQcIkTsXr16iquVWFJrRSE+u8d6jGirXb//v3evXvfvXtX+UlYWJivr68eukYFBpI2\nK1asOHr0aPl0u3bt5s2bp2GD0B3DOTzZ2tomJCR4e3tXqAYryM7OnjZtWnBwcE5OjnqdQnMG\nsqsJCAi4fv26eMjZsrKyxMTEqKio6OhocTVYu3btrVu3/vrrr9bW1hp2CmNkIBmrHxSEhkuc\niFW+PlVJF0dc/fcO9RjLVvvtt99at24dHR2t/KRjx47i+3OgT4aQNleuXFFWgNWrV//jjz+4\nkmPIpM0Z8Sl7fn5+UFBQhVcI2NjY2Nvbv7ji0aNHe/TowYFJKoawq1FGUlRUVOViZWVl3Gws\nZ4aTsXpAQWi4CgoKlNOq/zplZWUlnlU7EaXtHeox/K12/fr1nj17jh49WnyU9fDwCA8P52kx\nqUieNgUFBcOHD1e+Y+qrr75isFkDJ23OiFc8duyY8kYDV1fXdevWJScnl98sWlhYGBUV1a9f\nP/G6N27cmDBhgnr9QkOS72rKrVq1ytvbW3k/QiVyc3PHjx8fEBAgvksZ8mEgGasfFISGS/xr\nxPPnz1Vcq8KLO9X+lV3a3qEeQ95qOTk5H3zwga+v77Fjx8Sf9+nT5+jRo+UPAkESkqfNJ598\nonz7SHBw8OTJk9VuCvohbc5UeMRLEAQzM7OJEyfeunVr/PjxypfF2djYBAQE7Nu374cffhD/\n3rRp06aTJ0+q1zU0IfmuRhCEhQsXTps2TXyiP2zYsD179iQnJxcVFeXm5l65cuWrr74SD292\n9OjRgICAtLQ0TfqFMTKEjNUbCkLDJT6AFRYWqrhWhSXt7OyMsXeoxzC3mkKhWLt2bbNmzb7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Xv3iy++oA2qM39//99++y0gIGDQoEF/+9vfnj59KnQiAMDrie0O4dKlS5csWfLH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ampo6Oj6BwA0Cj37t0bO3asl5cXtzz8LAYhFCwsLKxhw4a8AvZZZmZm3bp127x5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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": { + "image/png": { + "height": 300, + "width": 600 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot variable effect\n", + "options(repr.plot.width = 10, repr.plot.height = 5)\n", + "\n", + "par(mar = c(5.1, 5.5, 4.1, 2.1))\n", + "plot(gam1, scale = 0, select =1, se=F, ylab = '', xlab = '', cex.axis = 2.5, cex.lab=2.5, shade=T) \n", + "abline(h=0, lty = 1, col = 'red')\n", + "plot(gam1, scale = 0, select =3, se=F, ylab = '', xlab = '', cex.axis = 2.5, cex.lab=2.5, shade=T) \n", + "abline(h=0, lty = 1, col = 'red')\n", + "plot(gam1, scale = 0, select =4, se=F, ylab = '', xlab = '', cex.axis = 2.5, cex.lab=2.5, shade=T) \n", + "abline(h=0, lty = 1, col = 'red')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Project_classification_code_flow.ipynb b/Project_classification_code_flow.ipynb new file mode 100644 index 0000000..05b2c64 --- /dev/null +++ b/Project_classification_code_flow.ipynb @@ -0,0 +1,575 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Project Classification into Small, Medium, Large" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Attaching package: 'bnlearn'\n", + "\n", + "\n", + "The following object is masked from 'package:stats':\n", + "\n", + " sigma\n", + "\n", + "\n" + ] + } + ], + "source": [ + "library(data.table)\n", + "library(bnlearn)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message in eval(expr, envir, enclos):\n", + "\"NAs introduced by coercion\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Classes 'data.table' and 'data.frame':\t961734 obs. of 3 variables:\n", + " $ projectID : chr \"0-admin_bitcoin\" \"00000SZ_node-rms\" \"000fan000_Onboard\" \"000panther_nativescript-plugin-firebase\" ...\n", + " $ numStars : num 10.3 0 8.72 6 5.83 ...\n", + " $ NumAuthors: num 9.56 1.1 4.51 5.25 4.25 ...\n", + " - attr(*, \".internal.selfref\")= \n" + ] + } + ], + "source": [ + "# showing for a smaple data, for actual analysis, full data was collected from multiple files and joined \n", + "df = fread('/da0_data/play/trackhacks/woc-data-ahmed/PrInfo/PrAllInfo.csv', sep=';') # Read list of projects with info\n", + "\n", + "# Preprocessing - remove NA\n", + "df$numStars = as.numeric(df$numStars) # warning is from this step\n", + "df[is.na(df)] = 0\n", + "\n", + "# Subset & log transform for better results\n", + "df3 = df[,c(1,2,3)]\n", + "df3$NumAuthors = log(as.numeric(df3$NumAuthors) +1)\n", + "df3$numStars = log(df3$numStars +1)\n", + "\n", + "str(df3)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " numStars NumAuthors \n", + " [-0.0123,1.23]:921628 [0.682,1.81]:855795 \n", + " (1.23,3.69] : 27925 (1.81,2.94] : 81866 \n", + " (3.69,12.3] : 12181 (2.94,11.9] : 24073 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dfm = bnlearn::discretize(df3[,c(2,3)], 'hartemink', breaks=3, ibreaks=10, idisc='interval') # discretization\n", + "summary(dfm)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " projectID numStars NumAuthors flag \n", + " Length:961734 Min. : 0.0000 Min. : 0.6931 1:837848 \n", + " Class :character 1st Qu.: 0.0000 1st Qu.: 0.6931 2: 95301 \n", + " Mode :character Median : 0.0000 Median : 1.0986 3: 28585 \n", + " Mean : 0.1605 Mean : 1.2006 \n", + " 3rd Qu.: 0.0000 3rd Qu.: 1.3863 \n", + " Max. :12.2870 Max. :11.9031 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "library(dplyr)\n", + "dff = cbind(df3, dfm %>% transmute(\n", + " flag=ifelse(as.numeric(dfm$numStars) == 3| as.numeric(dfm$NumAuthors)==3,3, # If large by either variable -> large\n", + " ifelse(as.numeric(dfm$numStars)==2 | as.numeric(dfm$NumAuthors)==2,2,1)))) # If medium by either variable -> medium\n", + "\n", + "dff$flag = factor(dff$flag)\n", + "summary(dff)\n", + "# flag = 1: Small, 2: Medium, 3: Large" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting Code Reuse over time" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Read weekly reuse data\n", + "data = fread('/da4_data/play/trackhack/Analysis/CodeUsage/pivotWeekData.csv')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Weeks Total re-used code blobs Re-used in Small OSS project\n", + " Min. : 0.00 Min. : 277.0 Min. : 183.0 \n", + " 1st Qu.: 26.25 1st Qu.: 668.8 1st Qu.: 446.2 \n", + " Median : 52.50 Median : 890.5 Median : 626.0 \n", + " Mean : 52.50 Mean : 2538.8 Mean : 1603.4 \n", + " 3rd Qu.: 78.75 3rd Qu.: 1340.2 3rd Qu.: 939.2 \n", + " Max. :105.00 Max. :153973.0 Max. :89225.0 \n", + " Re-used in Medium OSS project Re-used in Large OSS project\n", + " Min. : 20.0 Min. : 8.0 \n", + " 1st Qu.: 89.0 1st Qu.: 48.0 \n", + " Median : 164.0 Median : 100.5 \n", + " Mean : 705.9 Mean : 229.4 \n", + " 3rd Qu.: 269.5 3rd Qu.: 148.5 \n", + " Max. :52311.0 Max. :12437.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Preprocess\n", + "data$TotalUsed = data$TotalUsed - data$`1`\n", + "data$TotalUnused = NULL\n", + "\n", + "data$`1` = NULL\n", + "setcolorder(data, c('WeekNumber','TotalUsed', '3','4','5'))\n", + "colnames(data) = c('Weeks','Total re-used code blobs' , 'Re-used in Small OSS project',\n", + " 'Re-used in Medium OSS project', 'Re-used in Large OSS project')\n", + "# data$`Re-used in Same project` = NULL\n", + "summary(data)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Attaching package: 'reshape2'\n", + "\n", + "\n", + "The following objects are masked from 'package:data.table':\n", + "\n", + " dcast, melt\n", + "\n", + "\n", + "Loading required package: viridisLite\n", + "\n" + ] + } + ], + "source": [ + "# load additional libraries\n", + "library(ggplot2)\n", + "library(reshape2)\n", + "library(viridis)\n", + "library(hrbrthemes)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " Weeks variable value \n", + " Min. : 1 Re-used in Small OSS project :105 Min. : 8.0 \n", + " 1st Qu.: 27 Re-used in Medium OSS project:105 1st Qu.: 95.0 \n", + " Median : 53 Re-used in Large OSS project :105 Median : 190.0 \n", + " Mean : 53 Mean : 365.5 \n", + " 3rd Qu.: 79 3rd Qu.: 490.5 \n", + " Max. :105 Max. :3695.0 \n", + " percentage \n", + " Min. :0.001376 \n", + " 1st Qu.:0.016335 \n", + " Median :0.032670 \n", + " Mean :0.062848 \n", + " 3rd Qu.:0.084339 \n", + " Max. :0.635339 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Get data for plotting\n", + "data2 = data\n", + "data2$`Total re-used code blobs` = NULL\n", + "dplot2 = melt(data2[-1,], id.vars=1)\n", + "\n", + "dplot2 <- dplot2 %>%\n", + " mutate(percentage = value*100 / 581579) # no. of blobs: 581579\n", + "summary(dplot2)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Loading required package: RColorBrewer\n", + "\n", + "Scale for 'fill' is already present. Adding another scale for 'fill', which\n", + "will replace the existing scale.\n", + "\n" + ] + }, + { + "data": { + "image/png": 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Vde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\nKEQcWy+OVR/t4N1IYWSkIDK7WqkytPHNR9M0DMPBYs7Lc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xiF/fxEb20mMdbWI8UKB85KTVbSj8/q1y+YkkptlXd2pLpDN1rWUFT4yksE\ni73jVJn1To5RkqIDhHi/yACyvJysr2953dmIUVgkEjz1ZI3SdCjHuaUvwpfTL0RMXEunFE54\nVJ2FiRh1DW9HjAIAKLkcTUxA/Py8OgtgIkb/hgkIYmD4u8yo782gUSEHe2lOQrCIfa7u7P7y\nfe6MXKQsPFp9xIfHenpaLAJ7eI2OCRKsnBJjpYideV+qzHfeRB6uPHRFciXCj/fsjDgUYT77\nDO2yYGSkgI2G+3JXTonx+s6ib2Ow2LYdKdaarPyVj7PT/g4lg2E0Koo9fRr/yVXibVv99/7u\ns+NzwQvPc+6Zi8TFSQy2i6XyzX/m/3Sp2mz1emWMbssPF6tMBMlfsRzx9/f44LxH/oPFx1+v\nVJzMb9eB5Q7FUi0AAPbxkWnMZwpd0VW4XqkAEOR+0Cg+aRL/yVU6s+2DQ0VKw52fpc8UNmZV\nK7HEREdqvLLHjBY885TebNt6pNhBKcL2qJYbtp8so1BMuP4NJDzcnaHagzV6FNqvX0alUqa+\ns69ZZ7Ydz5O+/tuNNT9lrvom/elvr7/x+42Pjhb/cLHqUE7D1fLmMplOqSfIVgdL5Y26/x0r\nIRFU+OYbWHy8Ny6ha+E9+AA6oP+lUnlmVdsbEnsIOe+Rh70X6O0NWGPGCJ571mgltx4urpHr\nd1+phjDMtWK7vRvuksVIUNDJfFnp3yc9znK2qAkAwLmbCRp1HggSvrwWFgp/vVbbppZsmxzK\nkZAUzV18f8/6SLoDe/Ik2M/vQnGToS1Zqts5X9wEAGDPmOHOpKy0VIAgToWL2imWaAAAWFKi\nO7MzdBr42DHs6dM9OCApkzWu7KQC6wyAcYwyMAAAZAYpACDClwsA4LPRtbMTQn04lxou/lX+\np/uDn6g5ntecFxsiXDo22v3RWggSsZ+bOQiBwfeF39Xp6hzpQgN6T/HuAkVBfKho5eSYPrML\nYnCOKH/exPhAuUleqakcFu07b7hXfBAMLci15o+PlRAk7bPuVeHqZ8RbP/Df+7vPF9sFL6zh\nzLsHjY+XGqnLpfKfL1e/sy//yW/S1/16Y+eZ8s4XWepuqAzE7+m1EJcrXP2MZ0dmjR7FXbhA\nrjXfng7sKeqVBvtT2a9Xa0iXgrIzqhQ0AG7mZbOGDxe+uMZso7YdLpI64A20s+tchdpA8JYt\n7di7hw6M8Xl9nZUGnxwrdsTVeEdu1Kp+vFQFC4WizZtgsdj9AW+Bu/h+GgBnI3qUesLx84n8\nevWOU2U0jos2b0T7dYY2Y6eBxcdz779Pobd0kMNb02xIr1Cg/fvjEyd2pm3ugCUnCV97haCh\nj46W1CkMAICr5c2FDRrWsKH4xAldbV03AgkL5SxaqDYSf2U6tCNtkxu1KpWBwCdNhLyvwtzL\n4C5ZjKWk5NaqTuQ5qm4HAGjSmq+WyZGICA8WZnETfMpkfLzXSqZAEGfhAoqmjzn8W6ps0tcp\njKyRI2A3ovZw5/Po7ZTcdIwy+ks9ANjPT/DqK4IXnueveqLvnDT0MhjHKAMDkBikAIAwXy6H\nhbwwKz7Cj5suu/ZH2e+3Cxm5AA3on4p+kBlk05KCx8d5poIyD0efnzlIwEb3VfxVoMh3vCNF\nU98V7KrSVI4a4PfQOEZZleFWIAAeSI2GIejP8r3fFnyjtqjnjYgY2d/rSRx9nIpG3ZdnygEL\n58ydgyYkyMz0lbLmny9Xv7O/4Mld6a/9mvPlmfLjedJSmc6D8u69gNOFsvJGHTstFU9N9dSY\ncECA4GZp0TLPlhZtDU2DA1kNJ/KlWdWuZIwCAJR6orJJjyUlwr6+ro2ADYoTvrHOBiP/O1bi\nlJ9dZ7Z9daachhHBS2vb818gQUGiTRsBm/Pl6fJSh7Um7siZwsZDOQ1ISLBo43rIozlf2OAU\nLD4+r1bleLCVa2RUKnadrwR8vuidtzwidtwdgNhswdoXaBjeebai40/Nn9drSYrmPfRgj6ia\nh/bvL9qwnkKx7adKW0dBfn+xykbR/JWPMxLqLfCffBLCsF+u1LizbJIUfb64CeJw2JMnec60\n3g+WEM978AG1kdjppLodAGB/Zi1NA+6Sxd3BlcNdtFD40lrhulcFLzzv2RXeDmvYMDQ6OrNK\nKdeaHe91vrgJIAh7+jTXJoWFQlZKSq3C0KhxYlI7TVqzykBgiQnd4a/D0DG8hx6EWCwTQXLu\nnSd8aW2P+I5juAXGMcrAAJqMjSRN9g/kvzg7oV8AP6Px+i/Fuz3iFbVjIS27Cr4x28wPjesX\n5c9zczQUgZ+bERcs5pyrP3u+/pyz3a2U9ev8nU3GxikJQbOHhLlpDEMvY2xsQGyIsECRX6Qo\n1BG6Xflfk5T10UkDQn2Yxz/vklGp2LQ35519+U/uSn91T84Xp8uO50lLpdq+nCx/R2gafHO2\nnKRo/tNPeibCCEWFr74CC4W/XK3xdkzu0VzJT5eq3Rkhw55N75JTGIuKEm7aCHD2l6fLCho0\nznYvaNAczZUgIcH8Z9pIKIb4fNHmjbCPz+7LlekVzS6Y1wG/X6u9Vt6MxsUJXnkZeK68F3fx\nYgDAwQ51nD3FheKmX65Uwz4+onffhr1QCKLz4T32KBIaeiJPWnSne0mmMV8saULCQtl33dU5\ntrkMEhIiensz4PF2na/Irla1fkumNh3JkcB+fryHHuwq87oVeGoqa8TwYqn2Wrm7n/fzxU0U\nTbNnzfKIYX0BiM8TvPwSDSNfnSl3oWJJvdKYVa1EB/RnjRzpDfMchzPvHt5jj2qM1jqFkT19\nuvjjj5DICA9PsXABAOBorhNBtQCAy2VyK0mxZ9zlmneSlToWIMj1CheLhJbKdLBQiEZGuta9\nrwGx2bx592CJCZ08LxIRwZ4+rVFjfnVPTpVcj0+eJNq4HmKzO9kMBjdhHKMMDMBG2eRGeZgP\nd0Ag/4Y8Z3fxzx70itppMjb+VPwDhkLPzogTsDGXx4EAWDGxf2yIsFBRsL/CxfqnBqth+43P\n1Rb1otGRngpiZegFsDHk/lGRJEXu+/vWqtXV7in5hY0hz80YxGUxh5/epVSqLZZoGE+oU9Qr\njQez6mE/P96KR9wfjffIw1hCfGaV0kulRT3L9UoF/XeOnlPAgQH+/7cFFgp/uFiZ7urT2h/p\ntTXNBvaUKfi/Y7sgDBOtfwOJjDxVIDuUXd9Ob9ehAfjqbEWJVIuPHcN/YqVHxkRjY1nDhpZI\ntR4Mbu2YY7nS/Vn1SFCQ+J234W4sROAIrBHDObNnSdUmu+78HdmXWW8lKd4DSyEWy9u2uQzs\n4yN65y3Yx+fXqzUXS24V+wIAHMiub9ZZOPPu6WUlEVwAwnHeqpUkRf9wocr9rbNCb8mtVaMD\n+qNxcR4wrrcDi8XC19chQUFHbkgK6p0+4rJzILseAMBdutijpjkHe9Ys/qondGbrloMFm//K\nO1fchEZH+XzyMXvqFE9Ngfbrxxo6pEymq2h0bp03WGyZVUokJAQbnOLCvPbKAC7k0duxx6r3\nuDKjEOb6o67L4BPG++78Uvzcsz7btoo2b0IHxnTa1LxHHgYIsjejTm0kthwozK9Xs4YPF295\nt6d/v/c1GMcoAwMAAEgMDQCAXPmN7wu/o2ivJKvmN+efrDnhx8dXTRsIu5oTsWBUZOrAgFpd\n7XeF37pjp9qi/irvC4vN9MiE/imRPi6Pw9CbmDc8XMxjnak7LTc2tbyY0Zhxrv5skIi9atpA\nJpWHoRvyV0Zto8bMmT3bTUEb1qhR3IUL5Vrz12e9VVrUszTrLNVyPZac5FTBTTgwQLxlCxIQ\n8GdG3WmXdJ/s2Ch6x6kyi40SPPM0EhR081UIEqx5HktOzqlRuRkP29HUJPXJsRKp2sSZdw9n\nwXz3B+Qu6bxw0Rb2Xq87mS9DIiNEb7/VcysqQgKB4Pn/kjT48nQ54VihD6WBOFUgg/38OPfM\n9bZ5rgHxeKK3NiMhIUduSI7ckLTZhrBRP16qAgjCf+bpPp7lyl26BAkMPJEva1AZPTLg2aJG\nAABn1kyPjNaLYY0c6bP9c9aQIQX1mj+uO3Qs0SbVckNenRqLj8eGDPageY7Dvmu6YPXTegv5\n/sFCicpE2Khd5yq+PF1uQTDB2hcFzz/nkUMUzsIFAIKO5rb9ie6Yc8VNAACO8xJMsFDIGpxS\npzDKnM+jt1MqsztGe0yZUYjF4j/ztP+ffwiefcblUj/OgkZFid97V/jaq7Sv3/HchjKZjjVy\nhM8nHwtfX4d4P9gWGzQIT02tlhvSy5sBAGYr+dGR4qvlzWhcnHjr/8GBAd42gMFTMI5RBgYA\nADhVe/Jg5YHvi7zlFbVzpOpwsbIoMUy0aJTTy7SAjT6QFj13aJjSrNyZ9yVB3lk+uGMkesnX\n+TtpQK6+K3Yw4xvt84SIOdOTQ9QW9Yna47e8tb9iX6mqNCVC7MJ9y8Dgbawk9e35ShqC+M89\n63JRJzggQPDiGhsNPj9ZZiQcEqvtDmRUKgEMsxzOpr/pFQ0J3p9Zuy/T3XBOqdq0+3I1xOMJ\nXloLEAQAwHvkP/jkSVVy/faTpRTt4cSL1hgstm2Hi7QmK//xx1yImW0NGhWFjx1T02zIq1N7\nyjwH+ely1eVSOTowRrRxvffCJ2GxmLdiOXv6dG+Ergiefgr28zuQVe9U6YlD2Q0mguTcf183\n9AhDLJZow3p0QP+LJfJfr9Z00DKnRpVdrcISE9h3eVKGuGeBhIVxFi5QG4i/MlzXXLqF3Fq1\nUk/gEydCPHdrT/VWIBaL/9STok0baJHoj/TarYeLXBPxa+FAVj34+4iok8GnTBb89zmjlfzg\ncGGd4h/f+uUy+ca9efVKI3vGDPEnHyHhbgmBwn5+7EkTGzVm1+p6FzdomrRmVloqJBA41ZE1\ndixAUZfDRQEA9UqjwWLrKRGjSGioeNsHnDmzSRhhz5rl+81O3n8e8uo6D/F4/JWP+3z2P2zI\n4IIGzeu/3fj2XPlbf+VtO1JcozDi49J8v9guWPsiEhLiPRt4jy4HEPRbek3Lh9BG0V+cLjuR\nL0UiIny2bUWjorw3O4MHQTZs2NDVNjD0KnQ6ndD7ceNqtVooFCII4kjjY9VH79hGR+iqNJX0\nbQ9yNE3DnqtiBgAoUhQODhiSEhEkUZkkqptCvSRJou0/z7MxZPbQsCenxcaFCNUW9Zd5O5Rm\nV77X7VfX+nKUZmWDvmFo4ODRMYES9T/2uEnHl+MpKIqCYRjyfqRGp12Og/ezO9A0TdN0mxOt\nmjowWMT5tfSXBv2tYVM0oIuUhYMDh6SEB0nVpgYH7pPOuRyKoiAI8uwntL2JOudyOueWvv1y\nxscFTowPzK/TeNCV1TkfHPstrTRY/QV4v5gwYLVa853Qo7sJgog2bkAjwndfrsls56mp0y4H\ngiDH7wGtyTo9KQTCMMup03dsjAQGit/fgoQEH8pp+PlihUcup7rZEOHHC4+NBDSNhIfzH10h\n11m2HCg0EiTw8i1tJMhiiXZsbAA3dawlOwcoXZSx4j3xONq//0+Xqu/4DeiNdSCnVhXhxw2P\ni0b797dcvAgoqoNV2gVYQ4eK3nmLNWIEnjqWu3ABa8gQSCigNRpap3P/cvCJE3kPPVAl1+88\nW9GeG7zNVZqwURgCxfcLBDabNTfXHRtaT+SBXxqCCNe9xho+LLta9eWZstt9TSRJIgjScktX\nNOkmxQexkxPNR48Bwt3j6tZ0zpeO+8ua8JWX0fDwby9UVrevWnb75rNjaAA4LCQ+0o+SN9tK\nSx03ptN2a06t0i7T3uWg/fuL3t6Mjx7VqLVsO1J8rULhzhe3/U5T6IlBYaKggVHWjEyq2cOF\noUH7m098/HjhSy+aSLD1UFGV/NZbSG+2XSyVi7msfjFh7OnTyKYmsrq644na++Bwly7BkpP/\nzKirbHKxejibhSRE+lIKha2kxPFbmrf8ESQ09PuLVXqzKweuFEXBMBIbLAwJ9bMcP0EbvKIN\n6Klvanz8eNHmjUhQ0OUy+f+zd9bhcVTrHz8jOzvrbrGNbNzr7t7SQrEC5VIobkWLy8VKL669\nUC6Fy8WhUKPu3jTWpHFPNrJJ1n3s98eWECKb3Y3Qe3/5PH36tMnsnHl3Zt458z2v/GNnicnh\njdGI+dmZ+KKFgCDJ6mqaJIfSrUEQPm+u6MXnsTHZnQ7i82M1P51tsLtJn5c2WN1HS9v0JleE\nlCdJSeAsW4rIZWR1DeMcmsB28LtEgI0fx1216qLe8uv5novNRY1mimFS4jX4rJnExYt0eyh3\nFkVRwjW3DMXx+sPr9QIA2MPQ8awHIyMThcyoMDrKEPNfKoz2x5ALowRNVFuqxqsmZGtl+XUm\nm5sAfmY/CDwvTX3/goTMKAlBu/fU7f669Cur19p7y0Do80He7mqvt9ZnK7MmxCoMVneTcQge\nGKPCaAj8tcLomGjpFWMiqsxV/RWuJWiiylw1XjU+O1pe2GAesMD/qDAa2ih/iTCaFCa8b35C\nnErAQuAQ+vD0x0gKozAMV7TYpicq+RlpnmPHGVtwFcR4t67BZ8/KrTV+d7quv20uT2HU4SHH\nxEil0eHunbsYj8fPlohSKXpjI6JW78zX/3SuYQjNKdFbJscrhNkZ7AnjHQS9cUdJp/3SkQz3\nJW12epuMzokJSu7UKcT587Q56KsXUasFDz7QYvV8dbJ2wI2Hww8wDMirM8WrBOrkOFSj8Zw6\nxdD00AijCMJbc4vgwQdonLMjT1+it+BsVBoTwR47hrNiOT5jOqJQQB4P3RliKBMsk4lfepFA\nWG/9VurnidCfl67rcMxMVvKSE9179zHuEJNMeww02C8NggTrHsRnzaxosb6/r5yk+pCbegij\nTi/FAJAaq4T5fO/Zc4Ma/c8MxhxWViYrMRHmcQHN+P9uB+kH2NOmclddX9ps+d5vaG2wwigA\nwGB1z0/XIAq5e9dvgX/qf18YhSDOyquETz2JSKVHywwf7CvvsPlz+4HQdaWZHN6pCQpYIvEc\nOTLIffamz8kne/Ik4VNPegD89m+lVW1965UUzeTXm9ptnrQYBW/GNEQqJfILANVvKfY+bxyI\nwxE+sd5Ow5sPV4UcWttu9cxP06AKuXvXb4Fc0hCHw7t5NT53TpPZvT0vxPwMnzlSPpYaISYr\nq8jagZ9ToY0yyCc1xGLx776Lf8daAkL+fbxma04jQdE1BvvhkjaKZmIiZNyJ4/HZs2mLhW4Y\nmtByNC5O+OwznBXLSYy9q0C/6WBlV7hxdy/dbHIdLmkzWN1RCr4oLZmzbCksFJLV1UPy0GEY\nBkYQ4TNPQxLJpgOVZmcfa2MVLTazk8iMV+GzZ5E1tZQ+6Io9o8LoSDIqjI4yxIwKowNi89qM\nbuNYdXZahPhURQdB0b1nPzAETU1UPDA/caJODkHUocaDX5Z8UWmuGEymf38P8k53Z42lJluV\nPSFWYXR4G/pf9g+Qv1AYxVmIhM8W4KhCyBbzsHAJVynEoxX8cAlXpxLEKPhJYcJEjSgtQpwS\nLmqzuF0BNLoJxBwEhhZlhM1NVSeohRFSrlKICzgsDEUYwARYdu0vFEYxFF63KImDwf8q/sxO\n9Kso2by2DnfHGFVWeqTkdGW7f7tGhdHQRhl5YVTMxdYvS2GzIKvXmhahaDI6W8z/TZHjXcIo\nQdEmh3d8vBKNjnYfPBj4HrDx4wX339tu9779WxlB9XtVX57CKACAj6MpERKqSU9W91saFVGp\nRG9sRFSqHfn6n881gCE1x0vSjZ3OKYkqigHv7C7rHjg2Apd0q8VtcXqzEjXsadO853IYS3Da\nKO/WNazExO/P1Dd0DLwoOEx+gGaY3FpjSrhIkZYAi8Wes2cHL4wiKpXopRfxWbM67d539pSd\nqmwvb7EeLTUcLzO0WdwwDMnDFXhGOr5oIWfpEjQiAgCGbm/3Izf0BIKETz+FxkR/d7q+sMHk\nZ8P+vDRJMzTDpMcoIATx5uaGZmaPgbp/aT5VgnfLzay0VDQ8AuJyGJJkHP7OMm/tbZzlVzR2\nOt7cVdZfE7wewigAoMZgHx8nk6QlEbm5dEfoCbP+zQkcfMli0dNPsadPxxcu5F69krfqenzh\nAva0qazMTFZCPBoeDkskEAtlvAQgiMH4AQjHRS++SHO47+4ps/mNhgtBGHURVLScHx4TFlQA\n45C4NUggYCUksMePwxfM515zNSs9lcjNA/Qfj4a/ShiFZTLhs89wli11EMwnhyp/K2gmB5c+\n76PrSmu3ejKiJPKEaO/pM7TJ300dAr0nn9j48aLnnvUC+N3dZeUtAwR8NHY68+qMyWEiSUYy\nNnECUVDY3/JnnzcO54pl7CmT915oLg61PxUAwE1QsUp+WLTGey6H6ugAfi5pCMIXLhC98Dw2\nbpzZTX51otZgDVGG85nDMGBGkpKxWIZ29aX7KIN5UiMateiVV9hTJreaXW/+VnqhW1EakmbK\nmq3HygwYCkdHq7gzprMnTaRbW6mW0PtbQgIB/847BOseQJTKgnrTe3vKz9cau+vdPbw0A0Bj\np/NQSZvZ6dWqhIKMVM7SJRCOk9XVgwzzZxiGO28eZ9nSnOrO/cUt/W1W3+FoMjrH6BTcmdNp\ng4GsCU7dHhVGR5LRLsOjjPIXkGfIjRREzoqcfecc3Xt7y7r/CgJgTIz06vFRYRIORVPH9cf3\n1++zhRolGiA1lupNhR/dmXH3bTPjMAQ+ePG/oCNzDxI0wrkpqrGxMhQO9NE+L0397+O1Z6oG\nmzSkFOJ3ztHpVH0XHiIp2uoiTQ6P1UWanV6L02txEYUNJqN9KNPuBsPizDCFgH1cf6zFMUBN\n+gJDfgQ/Ym7UvPvmJbw56JpWo/zlIDB07/wEIYe1o2Z7hal8XfZDt8/S6Y0XQu4S8Ndypqpj\naoIiPTMDXzDfvbdnqdw+geVyweOPkgz4eH/Ff1Fp0e7k1BivHh/Fnj7NvXdvnxtcUkWVyh15\n+sE06PBDid7ywb5yp5cc8P12ODhc0gYD5m8zdOKNG8yPP0E1BRqbA0ul+Px5nTbP6cqhTx0N\nCjdBvb279MkrUiOWLaVtNstn/xrM3tjTpwvWPQjxeedrOrccq3F4/riwjQ7voZK2QyVtOAtJ\nCROMj1NkRIl5ixfhixcxbrc3L48ovMAQBAAAwrBLZU9ZLIjNBgBACAJxOAAAAMOwQoGNHVOi\ntxzo/21wQA5dbFuYHiZZttT5yy+0oY/O7yHDnjmTf+ftsEwGAOjek41xOsn6eqqunmxooOrq\nyfp6+vcKDJyrV3Kvvabd6n7rt7KgXAFJM/8+UfvEshT+A/ebHljXXUEbefD58wUP3O/wUr8V\nNIu4LLmALeWxpUKpUKVi9erdwjgcZEuL66etoUUIcm9YBSsVuwubu9egkPIxKY9dFWTX7z45\nUtqWHS3BlywmysoG3jpUIC4XjYpCorWoVuv7u0e7GFZmBiyXW//+MjOkpRKChT1lCv+hB2Gh\n8KLesvlQVZ+xaYNnZ77+wYWJ3FXXW1/bMBz77wIbky187hkCgt/fU17aHJBY2Wxy/X3rhZun\nx05LiJV8+L7t3fc8R48FNBiKcq5cQVD0geLBvtocKzNkaSWcRQs9paX9bcNKT+PfdSeq0xEU\nvStfvytf398qS+DUtdu9JH159l9iT50qeOQhiMc7U9XxxbGaPo21uoivTtTuK2pZOS5igk4n\neu1Vb16+4/MtZFVVcINBEL54MW/N32ChsM3i/uZUnf9lue5QNHO4pO1EefvcVNXS7HDBDas4\nVyw3jWJBAAAgAElEQVRz/vSz86efARni3A9CUe7fVlM0M+DMKrfW+Nau0nWLkgSPPgKJRK6f\nt4Y24ijDzagwOsoofw07arZHCCKytPErxkZ+f/LSsyE5XHTNhKg4JZ9hmPNtOXtqd3e6hywA\nwT/11vqPCz66J/Pe1dNiWAgcWt/GkQdnIVPi5XNS1RFSLgCg3WnQO5q9lIeiKYImCJogadL3\nt5f20gztId00YNykO4wftjh6yd1z48fGSL88XhNa9R8AwMwk5Q1TonEWcqG9cG/9HhzhCNlC\nISYUYAIRJuJjfBEmFmD8WJ6g+2Ks00t+eqiqoH6I1+RDQCZgL80KtxP2PbW7A9l+V83OMH5Y\ncnjK9ZO035yqG+ajG2V4uW6iNkEtKOooOtxwiAHMT5U/rUq84YGFiS9tLfIEFul8ufHv4zWv\nXJfFv32t9+w52nwpbAHicCA+H+bxID4f4vNhPg/i8SE+D+bzWdlZsFD43am6oFrHXFa0ml1N\nRmdEVibE5zP2nlYgarXoH68jSuX2vKatOUPWHaU3oXW0GCr2FOoxFmvVZK144wbz+icofUDP\nL87KqyAM251Tezms8djd5Ju7Sp9Zkaq4YRVN055ffmHsQWdvQGw2/6478SWLvST97fGawyVt\n/W3pJqizVe159WYEhhI0wmytJDtaqpgyhR1wIy+7m/zXkerBfHEERW/Lbbx1Zhzvppts77w7\niD39ARqt5d97Dysjg6SZPQXNuwr0Eh4WLuFESHlhEk6ElKtISvqTVGqzkXX1dGcne+YMi5N4\nY1dpCJJTqd5ypqpjki6Oc8Uy17btQ2JICLBnzxI8vM5JUG/sKqn7c7lGFgLLBGwZD5Py2TI+\nJuOzpQK2jIcpYuOET653xsU6tnwRlKSLRERwr15pcni793BDYOiRxcnhUu43J+v8xE8FSFGj\nudPukc6cYf/00xDuBT+gCfHsGdNRbTSijUKUyu6/Mju8+iaL3uTUG51NJleHzX3n7PjUsWNF\nr7xkeeHvjGto0imCAsJx/t134YsWkhT9w+m6vRdahs9b5dcZm4zOiOnTkMhIqnG4nhes9HTh\nC89TKOvDveXFTUG0vPOQ9GeHq8qbrTdPixE+9aQrPd1z7PgfD3QeDxLwGQ4XFQogHh8S/P7Q\n53AAACfKDAPWgBqQwgaT2ekVzZoJbfpn74sBUat5a29lT58OAMip6fz+TP3gCx34IGmm2mBL\njoyARSI6wKwICOKuuh7Val3btxMl/cq4gwJF+Xes5axYQVD018dqjpT2+7jx0WZxv7+nNDG8\n9bqJ2qQx2Vh2lufoUceX/+4vehTi8yAOF+LgEIcLc7mQWMRduRKN13lIeue5ht0XWsj+U3z6\ng6DoPRdajpQaFqRrFmVqeGtuQWNjrRteByH1iuResQxRqw+XtLUFEExQ1mJ9bfvFx5Yki+64\nHZaIHf/aEtqgowwrUO9uM6OMMhj0en14ePhwj1JXVxceHs5isQLZ+OEj60IbhWGYYU2f5LP4\nj457XISJ39xZ5CCYayZEpUWIAQAXO4t31ewaMHwvWCiKAgD4T87S8DT3ZN4rwIRbcxpDq4mT\nGiFK1ghyak31g07J949ayF6QETYlQYGzEJqhL3YWn9SfqDBVMCBQn6bgKm9KWq0Vas1O7+dH\nay70tfDIMIzX6+0zuUCAs26dGTsmWuqhPFsrfz7XetbPWDAECzCBABMIMVEYP2yhdhECo9tz\nm37NbfT5YIIgAryeBwNN0xRFdR/o/vkJ42Jl35d/d6bldIA74aCch8c8ouAqNx+uOlnRd5jP\nyJhDkiQEQSOQ5D4y5hAEgSDICFQG8JkzPlZ23/yEdlf727lvuclLU/zrEldN1kw+W9Wx6WDl\nIEfxeDwjkJVD0zRN09299OLMsOsnaSmDAZCkTw8Ffq+Q8zWdH+2vGNBrjIw5FEWFUB1ixdiI\nq8ZF2t56x71/f/ef+1FFR8YcgiBQFB3unFOGYQiCwDBsaVb4tROj6I4O8+NPUC0D6DKQQCD7\n9xc2gD72TV6ABU9GwA8ohPjTy1MlPIwhCO+5c56Dh7w5530hnAOCRmsFTz2JarV6k3PTgcoB\nK4b3NidSxo1V8CEIImnaQ9AAAJph3L4+WgC4fo+jdHooBgC7m3B5B46E8u+lERh69dpMtZBt\nvOueQQoxFIaJbruVc8UygCDFTeb/nKxr7asqCAuBwySccAk3XOr7mysXsCEAXF5qw/aLDZ0D\nzFu8Xi+Lxep9SYu52Ibrs3DCbbz9zsGnITMMQ5JkUBcbe/o04ZNPuGnwxq7S6oADNpV89PEr\n0hVC3JuTY339H4G3dhG99io2JnvTgYqz1X8s3s9NVd88Lcb37+/P1O8uvDSJpUMtm7t8TMTK\n8ZH2jze5tu8IZPsB3RoSFsZbcwt7+jQAQQAAm5tsMjqaTa4mo1NvcumNzu7h1T5YCHzf/IQs\nrYQoKbU89zzjcJAkCcPwCDypPR4PLz1d+MTjSHh4s8m16WBl40DXZwj08AMTdfJ75sa79x+w\nvfX2EI7SNflkpaaIXnmZZuMfH6jIrQ1xOS1Cyr13XkKYhONnGw9JOz2k00s6PJTNRXxzuq5z\nKGTKaydGLc0Kt7z5lnPP3q6JB8ThcFddz7nqSgjD6jscX5+qqxii5Imus3PVuMgVYyOsL73i\nOXVq4I/BsGDdA/jChZd2Ulzs/OEnb05Of0pcCJNPRK0WPv0kmpDQanF/tL8iwCuzy5yMSPG1\nE7WRMi4gSc+5cwAAiMOBeXyIy4E4HIjD6a+RfU5N57en6/yn3PXnpXvAY6MPL07SqQSuX361\nf/JpIMf/J3Bc9uUWgid44tv8wJfTFEL8sSXJKhHu3n/A9u57gZSv8Xg8EYeDKA8VGjabjWGY\nEUhyHxmZKGRGhdFRhphRYTQoIgVRD2Y/yDAIisAQANXm6l21O2otw1JdOxBhFACg4CrvzbxP\nzBZ3VaMLBBiCxsVKl2aFa+U8AAADQEGd6dfcxiGXR1EYGhsrm5OiStQIAQBWr/VMy+nTzafM\nniCWnbsdNjwvav6C6IUwhBwtbfvudH2PNJD+hNHMKMnaWXFCDqvWUvN16X+CDeyNEkTdmrZW\nzBZfaDR/crDS4SH/EmE0JVy0fllKo63hndy3AxeUAQAqruqhMY8gEPbatot9htqNCqOhjTJi\nwmiUQvjCynQYpt7Lf6fZ/scaDAqzHsx+MFIQ9c2pun1Fgwr5+auEUQSGnrgiVafiOz2Uw0M6\nvaTTSzk9pNNDOjyU00s6PaTT6/sV5fSQrRZXIPOgy1kYDZNwXrsuy3v2nOWFF7t+iGjU4o0b\nYaViW27TL+d7Sk7/k8Io+F1JoQ3t5sfXU23+Ali4q2/irb7px7MNuwoCbYYwMn5AiCMzk1RT\nk1RqEQ4AYGw2z/Hj7oOHiZISPwEmnKVLeHfdCWHYkdK2b07VBSL1XiZeekKc7N55CZ7jJ6yv\nvhbiGBCEz5vHu20NLJF02Dzfnq4LSnDBWYhGzLG5iUDCu/y8cs9P09w0Ndpz+Ih14z+COPi+\nCFYYZU+eJHzmaQ+A39pVUtEaRBq7x+ORiXj3zUtIDhdRTU2WF18KpBIFe/p04TNPleotG3eW\ndP2Qx0Y3rspmsagtxf+6KXm1ABP+fK5hR74eDEIYlfCwN28cwzTUm+6+N0Bz+nNrsETMvfFG\nzuJFAEXrOxzbcpuq2mwBhhCiMHTX3PjxsTKyotL8zLOEyTQSwigMYyuvEq25hUHRg8WtP5yt\nD3D9Jlh6+AEYgjZcn6Xioca1d/h3oUHhm3xy0tLEG15lOJxPDlZ2l9RDAGch89PVOAtx/v5Y\n9z3frQ63l4YcHnKY8gBUIvz1VdnExYud6x5GURRAED5/Hm/NLbBUanESP+U0nCg3DKGy0nV2\nUsNFjy9LcW39xf7pZv8fgVgswZPr2VOnNnY6fs1tmpOqTg0XAQDIujrXDz+5jx3rnTke7OST\nPWWy4JFHID7vbHXnlqPVgdcK6H6xQRCYEq9YOS5SJrh0zzIMcHpJl5dyE5SboDwE3f2/boKq\narUF4t8CFEYBAAIcfWZFmlrMsW/+LNj0du7Nq3k33RhChSIhh/XokmStnOfev9/21jsDbj8q\njI4ko8LoKEPMqDAaLBPUE29IulFvb9pVs6vUWDLwB0IlQGEUACDDZfdm3S/FpXsvtHx3us6/\nj2Ah8LRExaKMMJUIZxjmYmdxQWv+TO2sSEEUA0BhvenX3MYeWV2hIeOzZ6WoZiYphRwWAKDS\nVHmq+URRRxHFDLZ8T4Qg4qakm9U8tcHq3ny4qrLbc7e3MMpG4VWTo2elqGiG2lO3+1DDwdA6\nYvFZ/JtTbkmQJLTbPB/sLa9uNY+wMIrA0MvXZGok+Ht579Zb64LdVZo8/bbUtSYn8eLPF3q/\nXVwmr9xDxf+YMIoA+qXrssMl3G/K/pPTmtPjtxJc+ujYx3CEu3HHxaDesXvwVwmjw8TlLIwC\nAF67LkvDRztX3eiL+epSRX/Nbfq1lyoKAjMHgkCiWogicFDZjt0ZeWEUAHDluMgrx0ZQra3m\n9U/0V7kS4nCkX25x49xHv84LJOzRx8j4AYqiaJpmsVhxSv7keMWEOJnvkUe1tnoOH3YfOtIj\nshLi8wUPrWNPm+r0kluO1uTUBCo3XCZeGgLgxasztDKuad1DZEXQgepovI5/372spCSCon8r\naN5VoB8m/ciHn1duGIJeWJmulXHNTz5FFF4YzChBCaPY+HHC558jIOSd3WUBlmvswucHEBi6\nYXL0vDQ1Y3dYN2705pz38xGIw5F++k9GJn/up8Lu1UVXT42Zl6beVbvzQP1+JVd5b+b9IrbI\n539CFkYBAA8uTBwTLTU//gRRVBSgOb0PmHv1Ss7VKyEOp93m2ZrTcKaqI9h3XwSGbp+lmxwv\nJ2trOx9/Alitw/qkhrhc4VNPYuPHWV3EZ0eq+8xnGip6+4HpScq1M+Oo5mbbm28NVRY2TdNw\nTIz8rTcAj7/5SNWpfpKNBs8IuLUnr0hNChO233Y7Syrl33UnGq8jKHpfUcuOvCEoJ9qDLnNw\nFvLRmvFMVZXpQX+vtBCHI3rheVZWZkWr7d3dl8olRyt4SzLDx8VKYQiiDAbXz1vde/Yynj/W\ngYKYfKIof+1tnCtXEDTz7am6Q/1Xa/Fvzh/7gyEJn+0hKA9BDVUFp8CFUQCAQsB+9sp0EQe1\nbnwj8GrLsEQs/fxfDgh9/Nv8wKcQXXAw5OnlaZEyruW55/37WzAqjI4so13pRxliRrvSB4ve\nrj9ad+R48/F213BNFHwE3hjURboutBemytMyIlRCLnahse85GQdDFqaH3TMvYaJOzsGg8205\nX5d9dVx/rM5Ul2M412hrVHAViUr1zGRVjILfZnGHVi2egyEZkZJrJ0b9bXpMkkbIQN7TLWe+\nK/9mf+2+NldbUHGO/WH1Ws+2nsVgVopCNy1RiaFwRauN/n3i3F0cj1XyH1uakh4pNjjbNhd9\nUmDID/kAvLQ3z5CLwmiqMn5agtJo9zSZhr18VffGoAvSNVPiFTmt507oj4ewK4PTACCQrkyK\nUwlOV7b3WJv/b+lKz8VQpRDXynkJGkGWVjpJJ5+SoIiQclkIbHMTJMV0DfS/1JX+jtm61Ajx\nqeaT++v39/6tm3TpHfrxqnEZkZLTVR2+jNoQGOGu9MM90GXbld6HiMtKipBQ9Q1kbS2i0Yj/\nsRFWKn493/hrbt/xX/7NCZNwFmaErZ0VtyBdMyVBYXERoS1ujdgl3f0OLWu2IgicFB/GnjTJ\nc/IU4+wjo5yzYjl7yuQ9hS3d++cGNcrw0eWlTQ7vhUbzvqKWGoMdgoA6TI5nZnCWX8GeMB5i\ns+m2NsbtZqUkiza8xkpOrmqzvbGrNKimN5ePl+60e6YkKBClynPoUOB7hoVC/l13CB58AFEo\n8uqMb+0szm8wD3e52N5d6btgAGg0OmckqbDERNfuPYPswhTg2cGys4UvPE8h6Pv7yi/qg+64\n7fMDDAMuNJqNDm9GnII7exbweImSfhfpeX+7GZswfu+Flu6NK8Ml3Ntmxpk8xv+U/odmaAfh\nKO4sSpdnZEepWCh8sckMguxK34XLS02OV+Dz52HjxsIiEW2zMZZ+k5R7ujUU5SxdInzuWWzC\nBDsF/Xyu4bPDVQ2dA5SY6BOGAXl1RimPHRMfgU+a6Dl5CriHq0UholSKXn+NlZpyscn0xq7S\nAcs7DJLeV1pTp5ODITpdGGf+fAjDiOLiwbcUQ3U66euvQULhlmPVJ8qH8WVnBNwazYCxMVJ8\n4kTuVVfCMllOTef7e8tzaozkMDifLnNImsmOlsjCla5ffu2vWRAsEolfe5WVmlLYYHpvT1mX\nSmt2Ejk1nWeqOlAYjoxUcCaMx5cugdhsqq7eJ48O8KRGUTQqipWZgc+awb99LXvKlDar563f\nSkNok9D77NAMcHpID0kPoev246V74/RSpc2WyfEK3tTJREkJ3RqQ1Mu77VZWWuqPZ+vLW0KJ\nHiAppq7dMSNJiaWluffs9d/9abQr/UgyGjE6yhAzGjEaAiMWiwQCixj1IcSE92Tep+apT5S3\nf360mu7mK8RcbEG6ZnaKioMhHspzpuX0kcbDXcns3c1JlqUs0i6KEmoBAAX1pm25TYE0OUFh\nSKcSpESIUsNF0Qo+AkMAgGa7/mTzydy28x7KAwAgSTLwJ1+A6MS6G5NukuDSxk7np4crGzud\nXRGjCAwtyw5fPiYChsEJ/Ykd1dsIerB13H1kKDJvSLwRR/GDF1u/PVUXwtQKQ2GlENcbnQN+\nsitiVMhhbVyVDcHe1869avOGGBUIAejWtLXp8vSDF1u/OvGn+g/DsWiPsxA+jvJxVICzeGyU\nj6NcFoyxEJJiCIoBABAU7YsVon6vi8cA4Pq9ZBiOIRIeJuFhEi4m4WMSLiblszG031c1hgHN\nZmd1m72yzVauN7XbieF+Wo5MxOi8NPXqqTENtoYP8t8j6X5nYwu0CxfHLClvsf5jZ0loE9bR\niNEQCDliNFLGffmaTM/pM47Nn4k3boAVil/ON27rRxUF/Zgj5mITdbIp8QpfRRQv5S3uKEqU\nJnFR3ieHKrvrIAHyl0SM+rhuonZJVhilbzavf4Lu/FMQJcRiSb/4nBRJHv06z+YOwo2PcMRo\nj5/jLGRcjHRygiIlTARBAFAUUVrKSk5mYGRXgf6X843B3qcjYA7OQh5alGhzEf88VOX/8J5c\nnpqkETp//IluM9AOO2N3MA47bbczdgdjt/dsCA7DnMWLeGtugQSCNov765O1FxrNI3N2BoxF\nunVG7MxklWPLF87vfwh5lAAjRlnp6aJXXqJY2If7ykPr5djDD+hUggcWJIq4LPehQ/Z33+/d\nhx2JjJRu+sjooZ/+vqB7cNzjy1JSw0VbLn5+ob2w64dSXHpv1v0yXLansPmbkzVwSHIVBMD8\ndM1EnTxWwfd965S+2XP6tPfMWaKkpIdg94c5EMSeMZ13y9+QsDAPSe+70PJboT6EwK7eB7N6\nWszcVDXV3Gx+8qn+AtIHAyspSfjC87BEfLS0bfPBMpSFDfyZwdHfjZMcLrp9VpyMzyara2xv\nvEnW1YW2f1gq5d28Gl+4gIHhr47XBBtjGCwj4AcwFH5n9VgeG63vcHx7qq7MbzlRuYBtd5Mh\nR5J2N2fV5OhFGRrLM896c/N6bwkrFeJXX0EiI09Vtv/rSHV//lbEZS1I18xJUXMwhHG73Xv2\nOrdu9eib/5h8Igii0aDRWkSrRaO1qFaLhIWBblOsc9WdW45Vh3Y3jcDZQWFoZpKi2ewubQ6i\nzGtahPjhxUmwy2l+bD1ZO0A5O0Sjlm7+tMNFPf71eQYKfca+arJ2UUaYa9s2+6ZP/Gw2GjE6\nkowKo6MMMaPCaAhcnsIoAIDP4t+deW84P/xMVcfmw1UUzahF+OKs8KnxchSB7YT9eNOxE83H\nncSfVuB7m5MsTVkYvUgr1AIAChtM23Kbagw95VEIgEgZLzVClBIuStQIfYoVzdB6e1OFqaK4\no6juz+newyGMAgBwFL9Kt3KCeiJJ0b+cb/qtQO/2eKKUojtn6+JUAqvX+m3ZN2XGIe7wqOSq\nbk29Vc3TVLXZPtpfYXIEFFrLQuCMKPGEWFlWtJSNwm0W97Eyw4kKg8XZ76t+lzB6+yzdtETF\nr1W/HG06MpgjZyPsh8c+quKqPjlUebryD91kMLOfMAlnaoKiS/3k4yiPjfJxFgoP5bl2kS6L\nx2L2mK1ei8ltsnqtFo/Z7LF4KLeGFxYtio4WxkQKIlnwJSucXrK6zV7dZqtqs1cbbIN/xerN\nCAijcSrBU8tTPZTzrdw3TW5/ZfggAK1NvyNVlrrnQst3p+tCGGtUGA2BkIVRAMDrq7JVHJix\nWmG5fMDued3NwVnImBjplHh5SrgIhiCaoStMFbltOUUdRR7KEymIujfzPhbMfn9veWGQGZ29\nhVEUhmYkKSkGtJiczWaX3e0vUCJgGIaiIKTnNXDD5OiFGRqqsdG8/snu/XDwJUsED96/r6jl\nm1N1/e1Rxmdz2YiboJ0e0k1QvpfMv1YY7ULCwybp5FPi5ZEyntnp3XyoKoRQQTD85kAQWLcw\nKUsrAQAcKW374liNn411KsEzK9L6e54zBNFdKoXlMjQ62kPS23Ob9hZd6k18mQijfBzdcH02\nH6JMd9xFGQyhjRKIMMpKSRa9+sogm9j0dmtSHvbgwqRoBY+sqLD8/eUeiwqiDa9i2dkfH6g4\n161A5Jho6YMLEytNFR8XftRj/2K2+N6s+xUcxf6ilm9ODVCXyT8iLitLKx0TLUkJF7EQGABA\nW63es2e9p8968/IYt7vLHFZWJv+229CEeIpmjpcbfj3fFFq6Up9AAFwzIXJpdgRlMFieeGrA\nJm9BwZ45Q/DoI4CF/XC2fndhcyAPHTEXWzMjVsRlbTpQabCGEsTq58bhYMjqqTFTExQMQTi/\n/Mr5889B9dHuXsSg1eL6+kRNUdPQtCTyw8j4gSSNQICj5+tM/r8PnUrw5PLUunb7hu0XQ1tg\n7m6O70Zzfvut48uvemyGREWKX30FVij2FbV8G8CNxsGQ2SmqBekaMRcDJOk8dJhuamLFxiBR\nUUhkJNTtC/SQdLPJqTe69Can3uhsMjn9Nz4K3JzhQICz7l+Q4GtBUdlq25HXFHhSyNQExe2z\ndUxnp+nhR/yveQifWM+ePWvz4aqjJS2DmXxiKPzqtZkKAdv88KNEWVl/m40KoyPJqDA6yhAz\nKoyGwGUrjAIAuCj3roy7o4TagnoTSdFjY2QQBDrdnUcaD59tOdNn1GR/5iRLUxZGL9QKowEA\nFxpM23Kbqg12hYCdEiFOCRelhAsF+KUT2u5qrzCVV5oqKs2VPVTXLoZJGPWRJk+/PuF6Piao\nbLWdrTJcMzEaZyGF7YU/VnzvIIYlrQlhkNVpf8tSZFldxMcHKsr6X+pEYSgtUjwhTpatlXIw\nBABgcpuaHc2JkkQURimaKag3HS0zFDea6V7u3SeMJkVIn70yrc3R+ub5fwy+QquKq3p47KOA\nYb38S1FXH+SQZz8KIf78VWldVwIAwEN5nITTSTrshMNJOByEw0k6HYTDSThsHhvFUDCMsBEM\ngRAAAAthoTALAIBCKIZgAAAEQnz/cJEui8ds9pitXqvZY/ZSA8/tEAgJF0REC6Mj+VFx4lgJ\nLvX93BdMWtfuMNq9FpfX4iQsTq/FRZgd3sHUSBpuYVSAs/5+TYaEy9qU/1GldeBafhyU88jY\nx2Qc+cf7KwIvXNjFqDAaAoMRRq+eEHVFdjgAYEBVFADg8Xi4HDw1XDQ5XjEmRspGYQBAk63p\nfFtOniHP5v2T/9GJdXdl3E3TyNu/lfqPjulBD2GUx0bvX5CQHCbq2sDmJppNrhaz69LfZpfR\n5vEzKxVxWQoBLhew5QK2QsCWC3C5gC0TsN1e6o1dJT16/UEA3DQ1Zl6ammpoMK9/kjabAQAA\nQaSfbWZUqvXf5Bn7WYLyBY8g3VZiCIp2E5TLSzk9lJuk3L+3g3B6qC7ZdEAcHvJ4uWHAjQcU\nRrtQiXCbi3R6QxSXh/sd9fpJ2sWZYVWmKh6Lq+GHdW9T3ieRMq6Mz+ayUS6GcDGUy0Z5GMJl\no1z2pf9yMYTHRgEADADnqju/P13X/QxeJsIoAGBGkvK2mXGe02esf38ptFEGFEbRxETxa68w\nXG6fTWy0cp6Mz3YTVFfrEg9B9xmz1qdbw1D4tplxk3Ry2mi0vvwqUXppJZg9Y7rw6acu6i1v\ndOu5hCLwa9dlygXYm+ffaHH0cX5FbNE9mfepuKrDJW3/PlEz+JdONgqnRYqztdJMrUSAowAA\nxusl8gs8Z864a2pFN6/Gxo1lAMirNf54rqHVPPQVikiSvHZS9IqxkXRnp/nJp3vU/A0RCOLe\nsIp382oPxXxysDKvzggCeOhMjJP9bXqs76ZweMiP91eEsEYy4I0zNka6ZkasAGcRxcW2N9+m\nWlsH3imC4AsX8FbfBEulNje5LbfxYHGLlwiin1jIjNjyFcMw/iceIi7r7yszxDwMALCrQP/j\n2eBa9Pjobo4AR9+/ZTxZVGR+/Inu26AJCaJXXoKFwkAe/X/6IAJPTVAsyQxTiXDfT0iKbja7\nmk2uJqNTb3I2GV0dNvdw9JIaDqJkvHULE2UCdnF7MYogSdJkAEBtu31Hnj6/zhiIEcuyw6+Z\nEEU1NJgeeYyx953diMbFST58v8nkeu7HQoIkBzn5TA0XPbYshaqrN93/QH8J9aPC6EgyKoyO\nMsSMCqMhcDkLowAAHMXvSL8rVhQLAGi26w82Hiww5PvpOOTfnCRp8sLoRdHCaACA2eH1TRoA\nADavrdJcUWGqqDBV+I9l8zGswigAgI8Jrku4Pl2eDgBwk+5fqraeaz07TGMBAAiCwFjYrMjZ\ny2KvYBjox7P1ey+0dPfOCAylhIsmxsnHxEi4GAoAsHgshe0FBe35dZY6BjA8Fm+cavwkzVGu\nv/AAACAASURBVGQ1Tw0AMDq8x8sMx8oNnd067dI0TdPUy9eNiVHwNxV+VGGqGJKDz1Zm/y1l\nTavF/fetF3yhlKHNfrgY+uyVaWESzq7anRc7in0CqJ907xFuviTEhNGimBhhjFaojRREonAf\nBnpI2uTwWp1es5OwuLxWJ2FyemsM9uYACsgOqzAKQ9CjS5NTw0V76/bsqNwe4NkJ44evy36I\nppGXfikKxITujAqjITAYYTRMwnlmRdruwuad+QO0WY9R8CfESqYmqnxdfUxuY25bbq7hfKuj\n3zfeVFnarWm3eQmwcefFwOuNdhdGFUL8kcVJGjGnpPPixc6LKq5KxVMrOUoJLun+EQ9Jt5pd\nLWaX3uTstHtFHFaXBqoQsn2RYt1xkS6zx6TmaSxO4uVfizv/3FgcAuDm6bFzUlRkXZ1l/ZO0\n1cqeM1u4/vFjZYbPj1b3ecyRMt7Ty1MxFOS05bARNhvB2AiOo2wc4bBRNo7gKBz6xZZXZ9x0\noJKg/C2fBC6MDpIeXhoCYFFm2NQExRfHaoKqVdon0xOVa2fFdbg63jr3BhtlPzr+MT5L+NGB\nivPBL7H0gIuhLBTqnRhx+QijEADPXJmmUwmc333v/Pa77k1OAsS/MIrGxYk3buiviU16pPih\nRX+S9S/tEwCnh3R7f1f2SdrpIS0Oz6FSQ2/fDgGwJCv8mglRgCTsH3zo3rcf4nCkmz+hpbLn\nfixs6aY2Ls0Kv3Zi1En9iZ8qf+zPHB7Kuy/rfg0/7Hi5YcvRmt5LtqEBQ5BOLcjWSsZES7uU\nHQBARYv1+7MN1YO+hvuDJEkYhpePjbxmQhRtMlueejrkNHMfEIvFf3gdPmeOyeF9d09Z1wKP\nn4cOj43ePC1mkk5O0MTOmh0UTV0VvxIw8Pdn6vcVBRfEGsiNI+Swbp0Rlx0tYVwu+yefuvfs\n9bMxNmEC//bbkKgoL0nvL27Zma93eanunT+HlctEGEVg6IllKQka4aGGg1nKbAlb+vbu0qJg\nSlr76GHOa9dlaXhI59XXMsQlB4hlZQlfeA7gnK9OhFimAIJAapiAzUL1Jle7zTOsZZqH7+yM\nj5XdPluHodD++n3bK7ahKKoVRS/QLkiRpUIAaux0bs9rOl/bOaDvuXlazNxUNVFcbHn62d61\nRAAAoldfxsaOfXdPWX6dcUgkAl8Cn+Or/zi//qbPDUaF0ZFkVBgdZYgZFUZD4DIXRgEAGILN\nipjdaGssM5YO2G4oEHOSpEkLtAvD+OHV5uoKU3mluaLF3hJUI6PhFkZ9jFONTxAn7K3f0+ke\n7Oucf7qmCzqx7paUNXxMcK668/Oj1V6STg4TToiTjY2R8XEUAGDz2nx6aI25ps9vLEYUM0kz\nOUuRjSEYw4DiJvOxMkN+nZGkGZqmZyQqbp+TUNhe+MXFz4fw+K/SrZwRMfN8TedH+yuYkGY/\nCAw9siQ5NVx0XH98a+VPgXzkL+xKj0CIgqsQYiIhJhRgAhFbxGfxRWyxABMIMAEX5XbfmKKZ\nb0/XHSgeIM5iWIXRq8dHXTEmvMxY+umFT7yEN/CzM149/sak1S1m19+3FgVVJ+t/QxjlYMiY\naOkknTwpTFjWbD1RbsitM5F+ha3BMBhhdEDkAvaUeMXkeLlGzAEAuEhXQXtBbltOf56kB2NV\n425KWm33kBu2XwxQJe8SRnUqwbpFiQKcdVx//Neqrd3X1dgIW8lVqbhKn06q5qllHLkvALw7\nXsrb6e40uo1Gd6fRbex0dRrdRpPb6CSdDMPMiZi7PH5Fs8n16rZih+dPSykQAGtmxM5MVpE1\nNZYnnxb9YyOsjXrq+4I2Sx9pp1Ie9txV6WIe65vS/5xv69kr1ucHEBhhI2wOysERnI2w+1wg\n6ZMF2gVxYl2p3vLe3nI/t9JfIozy2Ogds3W+tHc3Qb27uyyo0OAeJGiE65elkLT7vfx3myxN\nEATFiGPuy3oAMOjrOy72LqQzJFw+wigAIELKfeKKFAHOojs67J9v8Rw+ElQOsh9hFI2OFv3j\ndUgo3HK0+lhZz1T9cAn32SvTMBQcaNiPwiiGsHGEzUbYOIrjKAdH2GwEZyMYjnK6PmJxEq9u\nK+4zCzszSnL33HgOhrh++RUwDGflVT0C38Rc7PVVWTTwvHbuFT/JNDRNc1He/WMeCOeHn67s\n2Hy4aqi00S7CJJxsrTRazj1Z2RFaudXA8QmjMAwvSNfcMCWasVotzzxLVlaFtjdYKBS+8Bwr\nNbW+w/HunrLulZT6e4amR4pvmxkn4WGNtoavS//T5mwDAMSJdWtSb+Wz+MfLDV8erw38IRX4\njTM9SXnTlGichXjPnrO9+173+iQ+0Hgd//bbWZkZDANOVrZvzWnoSrv+/yaM3jQ1en6aprij\n+PPiz6KE2geyH3S46ed/uhBsVYce5twyPXZ2isr8yKNESSkAgD1tquCJ9RSCbj7UR+R4UKOM\nQIF7MDxnB4LAVeMirxgTQVDeb8u+Lmgv6O6lw/nh87ULM+QZEAQ1m1w78/Vnqjr8+B8Ygu6b\nnzA2Ruo5cdL66ms9/DYrK1P8+oaKVttr24qHSiLgsdEN12cJUGC6736qoY/w81FhdCQZFUZH\nGWJGhdEQuPyF0aAYGXNGRhjtar40rKOAP08XxGzxmtRbtcLodqubzUJ8UV0OwlHYXlDQXlBt\nrvITrtsFjuJjlGMnaSZFCqIAAFYXcbKi/Vx1x8OLk3GMeT1nQyBhuYGDQMh9WQ/EiGK+O12/\n50JzCLMfX8+KUmPJZ0WbAzEQ/KXCqH9QmCXABCJMyMcEMlw2X7uAx+KdrGj/8niNt/9c++Gb\nm2ZpJesWJZndxrdy33QQjmDNuSbh2qlh03JqOj/eXxH4jOG/Whj1FfCdpJNnRkl89Y4tHouI\nLQIAODzk6cqO4+WGHonbQ8JwCKM8Njo+VjYlXh6vEUIAUDRVYiw53XSq0lrhJxy7T6aGT7sm\n/lqjw/vqtp6xmX3iE0Yn6uR3zNYhMNhW/euxpqMDfgqBEBlHruapxWyx1Ws1ujqNbqOd6FdN\n8zVfujHtpqlh08pbrG/sKu0hCkAQuG1m3PREJd3ZCctkZ6s7Nx3oI1iegyFPL0+LlHF/q921\nv35fn+YM5qWOBbNuSb01VZZaY7C/vbu0v/qqIy+MxqkE986NlwnY1ebqgvb8q3QrSQq8u6es\nJKTSpQoB+/mV6Tw2srno0zJjaZeXTpdn3Jp6m81NvvRLUUcAF0+wXFbCKACAi6HLx0bMS1Oj\nMESUlTn++QlRVh7gKP0Jo0hUpPgfGyGxuM8mNkIO6/mr0mUC7Nuyr3Nac/wP4dNJs+TZK+Kv\nbLe6X9lW3Gd1co2Ys25RklqEAwCMdu9T3+d3Lxdz+2zdtATF1sqfj+uP+RmLpmmGYQS44O6M\neyIFUeeqOz85VDkcgWkjNvn0CaMAgNkpqr9NiwVOh+XZ57tqDgQOEhUp+vvfEY06t9b46aHK\nHqV4epvDRuHrJmnnpKoZht5fv29//b7u1ZCkuHRt2u1h/PCqNtsH+8r9lJvvTlA3jlzAvmO2\nLlEjpK1W+/sfeE6cvGSIUslbcwt79iwAQRf1lu9P1zd0/un5+P9KGJ2kk989N77daXg77203\n6QIAzImae0Xs8hK95Y1dJUHpLj3MmRwvv2tOvOPzLc4ffsQXLxI8cL+HBh/uK+8zFlWAszgY\nEkjl2f9eYRRnIXfNic+Olpjcxn8Vf6a360FfXlrNU8+PWpClzIYhuM3i3lmgP1XR3p8LwlD4\n8aUp8WqBa9t2+6Z//vELCJK8+zaamPjqtuLKVtsQSgQT42T3zEsgLpaYH3u89xLaqDA6kiAv\nvvjiX30Mo/xPYbPZRuC+MpvNQqEwQEFkb92ekAdiGGYEHhUjI7/6VkH+Z8yhaRqG4eEWRsEI\nmtN1Pbspd05bDp/FT5LHUpAnry13Z+2Onyt/vNhZbHR3BhhXS9Jko63xdMvp4o4imqEjhOrk\nMOmsZBWbhexv2FfcUTS0x88ApsxUOk41LjNKUd5iNVhcQemVizLClmWHtziaPy36pM/CtX1C\n0/Twhdf1GCgoc2iGdpMus8dscBrqrXUF7fk6sS5Vo8mIkhQ1mftr3DRMl7RCiD+6JBmG6U8v\n/LPD1QGCN6fcVJ4oSUpRa9wEHXiO7YA3Dh9HJ+nkV0+IumFytJDDqu9w+FGN+4NhmCH00jAE\npUSIlo+JWDtLNzVBES7hmjydJ5tP/FT5w8+lP5WYSyiaDBOokjTS2SmqsTFSFgIbrO4QDrs/\nGIaBIGhIrgEUgbOjJddMiFozI3ZMjFQqwGottQca9n9b/s251rN6SxPcKy19QBptDTRDZyiT\ns6Ik56o7B6yoS9P08rFRt8yIpRjiy5ItA4o1PhjAOAhHm7Ot3lrf6mi1eC1eeoAoG5qmKy2V\nEYKIZGWkWsQ5X9szdqag3qQU4FGRcgaATw5VWV09nQwCQ+sWJunUgjMtp7dXb+tvlMEsw9AM\nXdheIOfIU1TRmVpJXq2pz7hR3yU9Aus9NE2jCLIoQ3P33HguGznYcODb8q/rrfWtztZsZebE\nOEVdhyPYdi4cDFl/RYpcgP9a/Utu23nQzUsbnG0e2pOpTE2NEJ2u7CCpIdbFBnl2AoSiqABX\nZAmKLm4yn6vukAvwcF0kvnAhEh5GlpUzroCirXubg0ZrxRtegyWSb0/VHbjYM/+AhcCPLUmO\nkHIP1O8PpKciSZNuyl3eUc7BOGnKhLQI0ZmqPk6K3U2equiIkvNUIvyzI1WNxj9qvscp+aun\nxbQ5Wr8r/9b/tMQ3+aQYqqC9QCfWpWrCImXc3FrjkEujIzZb6/LSde2OTpsnO16Fz5zBuD2A\nIGiLJcDoYCw7W/zqK7BMuruwecuxarLX19HDnDiV4LGlKemR4nZn2+aiT3MNuT2+dhfpOt+W\no+QqU5TaiTp5RYstkPjEoG4cp5c6WdHu9tJJMQrurJmIRkNVV3NvuF7w+GOoTtdkcm0+XPXL\n+UZLLwc7km5tBEbx8z4VKeM+tCiJZLz/vLDJ7LkUVFtnqdMKtcmqCIpmKlqCKPLQwxyXl1qY\noQEEgSiV/LvudBD0m7+V9tmTQC3Cn70qfXFmWFWrfcCFqBF7nxras6MU4uuvSEnQCKvN1ZsK\nP+5K7Ovtpe2E/UJHYX57Phth62SRY6Nl0xIUJEU3Gl29o0cpmsmrM46Jlkqy0oDHQ5RcKqnM\nnj6Nc9VV+XWm334vlj1Uk0+9yRWt4IfHRzEWC1nRc9WWoijhmlsGP4p/vF4vAGAEFpZGRiYK\nmdGI0VGGmNGI0RAYjRgNgf/hiNEuFFyl0d1J0UPQAJ0FszIVWZM0k2AI2VT4UeDiY1DESxLu\nzrjH6iKf+S7PQQT6cBkTLX1gQaKdsL6T905QcayXbcRob1gw67rEVeNU42xu8uMDFaV9hWIN\nx6I9C4GfvTJNK+f9WPHDqeaTXQMFa46YLX503OMchPfGzpIAc2z78wNCDmtMtHR8rCwpTOgr\nhOelvBiCubzU7sLmfUUtQSXsD0nEKARAnEowSSefECfzBWhbvdYCQ36eIbfeWt/DHARG0mRp\nE9QTk6TJMASTNJNfZzxe3t5nu7NgGXzEKARAvEY4JV4+Plbma8phcBpy287ntp3vXg9kMF56\nedyK2ZFzGjsdG7aX+On8g8DQ36ZGz0xRWzyWz4o/bbIF0RQiKHwRoxiGYQh2X+b9UULtngvN\n352u77EZDEE3Ton2kvQPZ3v+CgJg7SzdtERFmbF0c9Gn/UWsD0m0CwSgq+OvmRo+rd3meWNn\nSW/lccQiRjGYuXt+0phoqYNw/Kf0qzLjH/FuqbK0Nam3Agb+cH9F4InJMAQ9tCgxI0pyuvnU\nDxXf+37Yw0tfm3DdlLCpF5ssb+8uHdqYwcstYrQ7qRGiGyZHR0i5jNvt/PEn108/+y882j1i\nFNXp2JMmYpMnoXFxAIAfztb/VtCzxxEEwN3zEibGyQoM+f8u+TLwqkQejwdn46uSbpignlje\nYn3rt9I+l3kgCCiFePfqExAAz16ZFqcSbCr8uMI0QCSsL2LUdw2wEfadGXfHimILG0wf7KsY\n2rIkIx8x6mOiTn7nbJ3vcca4XGRFJVFSQpSVkaVltLXvxyW+ZIngvnsoCP7yeE3vkgg+usxB\nYWjF2Mil2WEQBI43HdtZs8PPFA4C0HztgkUxiwmS2XKs+nRlh39zQrtxwiXcO+fotHKe778m\nh3fr+caT5e39PQT/n0SMcjH0xavTlUL83yVf5Bvyu/+KjwkeH7eehwo27rhY0RqoNtrbnLdu\nHCPjYwCCTA7vm7tK9aY++tNqxJwnlqWIeRjN0F6S2bijpLbdXwGTIZl8irmYWoSrxBy1CFeJ\ncCmP7SJIu5u0uUmHm7R7CLubtDjcbhLY3YTdQ/aXMxEgqeGie+cn8NjoqeaTWyt/7h467d9L\ny3DZnKi5E9WTEBgxObzfnKrrs7moXMB+9so0MYdlfeNNz6HDAEGkn/4TCgt77scLvu+8t0SA\nwNCCdE2skk8zwPX71Kirto/LS/luDl/DRoZhChvMXUsXUh726nVZOOU13nk33f6nytGjEaMj\nyagwOsoQMyqMhsCoMBoC/x+E0SFnBOam86LmL41dVtZseWNXQO+9Wjnv6RVpMEx9WPBBg7Wn\nYOGf/yJh1MeMiJkr4q5kGOjHsw17LvR8uR0OYfS2mXEzkpTn23K+Lv1P94FCMMenetvdVIB1\nsnr4ARGXNS5GNi5WmqgRwhAEANDb9YXtBYXtBWaPeXr4jDlRc7ko1+oituc1HSlp6x0+0yeD\nFEbDJdxJ8fJJOrlCwAYAuEjXhfbCPENuVa+CFb3dmogtGqcaP1E9UcFVAgDMDu+JivYT5YbW\nvopXBshghFEeG12YoZkSr5AL2AAAu9eWZ8jLbTvfYOujGe5gvDQEoOsSV03STKpqs72xs6TP\nuFEuht6/ICElXNRsb95c9InZE3TTicDpEkYBAHwWf92Yh+Uc+dcn6/YXB9qE5MqxEVeOi9Tb\n9R/kv+eh+lWshtBLL4lZOl+7wOz0vrmrtMn4pzfbkRFGY5X8e+bGK4R4jaXmq5Ive5+gJGny\nbWlrIYBuOlCRWxvQetUNk6MXZmiqzJX/LNzU9Zraw0vDEHxH+l1J0qSjZYYt/fS/Co3LWRgF\nACAwNDNJedX4KAGO0oZ2++dbPEeP9htaiCBwaip3+jT2xImwUgEAoGimotV6vLy9d7clAMDK\n8ZHLx0TUW+s/KvggqFVPnx+AIfjW1NvS5On5daYP95cH8uCekqC4c7auuKPoX8WfDbhxd2EU\nAIAh2B3pd+rE8Ua7t67Drje5mozOZpOzxeQK0O37N2cwewiE3sIoAEAlwlPDRTqVIE4l6N4J\nitLridIysrSUKC0j6+oATQMY5t++lrPyKoeH/HBfRWlzvwUrfOZESLl3zNZp5Tyzx/xt2dcB\n9sxMl6fflHwzG2H/VtD807kGP4t2Id84CAytGBsxLVF5pKRtz4Vm/5kT/x+EUQgCDy1KyoyS\nHGk8vK36196fipck3JNxr8lBPPdTYY9a2P3R25w75+imxCvaLO43dpX0GQoaJuE8sSxVxGXt\nrNlhcptWJ99s91Abthf7qQwe7OSTgyFqEUclwjWXZFCOWozjrD9NxRnAQMCfn2QAsLtJh5sw\nOrzlLdZSvaXGYA/QAyxI11w/SQsg+pfKrSebT/T4bSBeWswWz4maO1kzBYXRM1UdX52o7X1G\nomS8p5ancmDG8twLsEYtePCB4+WGfx259NjqIRFESLm3z9JFK3iBHL8Ps9O7cUdJVy+7uanq\nm6fFeM+es7zwYvfNRoXRkWRUGA0FgiCOHDly6tSpuro6i8UiEAiio6OnTZs2e/bswYhoIe92\nmI4nNEaF0RAYFUZDYFQYDYERmJtCALot7fY0edruwubvzwwgdEp42PNXpYt5rC8vflHYXhDs\nWP91wijwdUhIWcPHBGerOj4/Wt1dVBpCYVTIYWVpJWNjpJlRkmZ783v573ipP6TMkM2ZGzVv\nWewVNMOYnUSnzdNp9xjtXqPD02HzdNq9Rrun+8zS5wckPGxcjGx8rDReLfTdrI22hsL2wsL2\nAl9efxcclDMnau6M8JkYgnXYPL+cbzxV2T7gDCU0YRRD4fGxstkpKp1KAAAgaOJiR3GeIbfU\nWNpf2U0/bi1WFDtBPTFLmc1G2ACA2na700s5PSRJMR6ScnkpkmLcBOUhKYKknV6KoGjfPzrt\nnh453aEJoygMzU1TLx8TwWOjXspb3Fl0vu18ubHMT63eQXppGIJvTrklS5FV3GR+d3dZj5cZ\nhYD98OLkMAmnpOPilyVfDJgIP0i6C6MAADlHvm7MwzyU/+H+8kAUvWkJirWzdRaP+d28ty0e\nf1U1h9ZLz4qcvTxuhdNDvbO7rHuFiuEWRiEA5qdrrpukRWBwqOHgb7W7+rtOEiQJa9PuQCDW\npwF09piRpLxtZlyHq+OdvLecxB9Sb28vjaP4g9nrNLywPoMfQ+YyF0Z98Njo8jER89LUCAwR\nJaX2f37SPXES4vOwcePZkydh48ZCPB4AwE1QRY3m/DpTYYOpPyVlSoLijtk6s9v4Tt7bNm9w\nrdi7/AALZt2VcU+cOO54ueHzI9X+/S7OQl6/PovPgTfmbOjhxvukhzAKAMAQ7PrEVSnSlO5t\noCiaMVjdTUan3uTSG516k7PN4g4qrPgvFEa7I8DROJUgTiWIVwmiFbwuwYhxucjyCoDArPT0\nNov7nT1lrWZ/dRW8Xs/ycTFXT4hkIfD5tpytlT+7yIDqMPjQ8DRr0+6QcWQXGkybDlb2V8Pn\nf2by6eMvFEZ9C2xV5qpNhR/151QXxyxZoF2YV2f8YG95IFd2b3NiFPzZKaqfzjX0LggDAIiQ\nctcvSxFyWNuqfz3SeBgAMCVs6jUJ15odxGvbitv7yakPcPKpFnNumhKtlfN8iTVdUAzV6eps\ndxnane0Gl6Hd2d7uMlg8FgzBuCiXx+L5/nBZPA7MEbAFXBaXi3b9kNvVrdRL0pWtttJmS2mz\nta7d3ue9jyLwLdNjpicq7YT9i4tbqs19ND0L3Eureeobk1ZHCiLNTu+WozWFDT3TI1LDRQ8v\nSUbcLsbjpYTCJ78r6LRf+g67JAIEhpZkha0YG4nCUF5b7t76vRRDIhDimxBCEIwjl1ZKuL+7\nOxzlqLiqWZGzLU5i485L3SwhCDy1PC1BLbBu2Og5+kc19lFhdCQZFUaDpqWl5eWXX25q6iMp\nLDIy8vnnn1epVCO522E6npAZFUZDYFQYDYFRYTQERmZuykE5j4x9VMZRfLjPnzCBs5Cnlqdq\n5bxdNTsPNOwPYaD/RmEUACBmi29NWxsliGrsdH6wr7wrl3bwwqhGzBkTLc2OlsQpBb47w+Bs\n21z0aY9315DNgQC0NHaZThwvwSUCTNA7HMBD0r8Lph6T3Z0WJfUdCQOYBmu9Tw81+q2WIMSE\nC7QLJ4VNRiBEb3L+fK4xr87f9sEKo2ESzqxk1dQEBY+NMoCpMlWeaz1b1FHkJ07wkmkDuTU2\nws5UZE3UTIwRxgbol0iaOV3R/lthc1fIQAjC6NgY6XUTtSoR7ibdBxr2n9AfH9AWMBReGoGR\n29PuTJIm5dR0bjpQ2RWRFKcSrFuYKOSwTupPfF/6HYwMe+WyHsIoAEArjL438z7AoP/YWeK/\nKm5quOiRJckE7X4//70WxwARpkPupSdpJl2bcD1Bgff3ll1suqTJDqswysXQtbPixsZIHYTj\nq+Ivyy0DJEHHiePuSL+LBWOfHanuM1bRR5JG+NiyFIJ2v5v3jsH5p6ZAfXppCS55aMwjApbw\n4wMVfaYxhsB/hTDqQy3m3DBZmxklAQzjPnjItX07KzkZmzQRS08HKAoAMDm8ebWdBQ3m0mar\n/2TzBI1w/dJkkvG+n//ugBdwb7r7ARzlPJD1QBg/fMBFzWsmRC3LDj/YcGBnzY5ARuktjHYh\nZovVPLWGF6bmqdU8jYqr8qkJPkiaaTW79EZnYYM5p6aTGCjv/jIRRrsDQ1CElBuvFsQp+V3B\npGUt1g/3lftPJY5T8q+ZEJkcLnYQjh8rvi9sLwzhUHks3i0pa+IlCa1m17t7y/vUYf+XJp/g\nrxNGM6MkDy1KsnjNb+e+6Wd9Aobg+7LujxXFBZjTEJQ5kTLu+mUpfBzdVvVr90LDviVtg9X9\n2raLfab7BDL5zIgU3z0vnouhvur53WRQg9FtDLBjap/mCDChTqyLF8frJPEKjsL3QzdBVbRY\nS5utZc3W/2PvzuObKPM/gD+T+2x63zetUKCUU06liBwqi4quyHqsuguyini7h+APr911vd11\nWRV0PVAUOQQUUQ4ROQQKQmnLUUoPWnpfuc/5/TE4G9M0JNMmfUI/75cvX0MySZ5vPsk0+Wbm\nmapmI/cBQ6eSPjB9YE6Cts5Qu/L4iu4+TAa0lRYz4qszpk3LmC5mxLtPNH68r9LjJ4TxubEL\nrsplCPGYoodrEWTGR3A7iupt+jWnPi0O5PwNhWlTrh9wg3tvNClS+ezNw0T6zrYFC/lZONAY\nDSU0RgOj1+sffvjhxkbv08EQQpKSkl599VWVShWauw3SeHoCjVEB0BgVAI1RAUL22TRBkfDo\n5Y87HKKn1x3zemQxw5DF0weNyIw6UP/jJyc+FvYoYdoYJYRIRNKbc28emzTOaHX8Z/tp7oyi\nwhqjIobJSdCMyIwekRnNnTuYZdlqffXx5uLjLcX1Rs9zdJBeKkcikkTKIyPlkVGKqCh5dKQi\nKkoeGSmPilZEy8QXWlQsy1Z2nuX6oQEdTB2rjJ2Zec3I+FEMw5xp0K85UO319ALE78aoRCwa\nkx1dmJcwMCmCEGK0Gw/U/7jv/L4mU7d/PT0EtFlTSpQSkVQmlirEColIIhcr5GKZRCRRSJRS\nkVQqkiolSqlIOiRmaIwyhmXJ4crWr36qPdNoCKgxmhWnuXV8xsCkCBfr2n9+35bKYpF15AAA\nIABJREFULQa/9xfrla20TCxbOOwPWbrs3Sca3911hiVkTHbM/Ck5UjHzxZkNu859x52VPvSN\nUULI0Nj8u4fcY7K6nvvieHe7ZaVGq568fqhMQt4u/o8/B6gGYytdEFdwe96dhBX9Z0f5oYoW\nEszGaFac5r6rc+MiFGc7zn5Q+t8mQ5M/j5Kly1qQf69crHz3+zO7vU2GGB+heOrGfJVc9Hbx\nWydbT3hc291WOk2bvmj4A4SVvLCp5Eyjr/nv/BRGjVHO0NTI30zITI763y6T51pNRyrbDle2\nnm3U272dld5DfIRi6Y35arnoneK33aeI9Z/HdkAri1g84sFYZeyn+6u2HPW+M29chOKvtxSY\nnYa//vicP7/BEJ+NUQ8MYaIV0VyTNFGdlKhKTFQnSERSQojB4vjhVNN3ZQ0+9rKksDHqQauQ\nJkcpyxv03e0JGx+hGJ8bOz43jvtrXtJS8unJ1XqbX/N6eyViRDfk3HhFypUmm2P5ttNdT18e\n7DeORMQMTI4YlhYZp5U36W2NnRbuv2a9tXdnGeb0SWM0PkLxf3PyFVLmnz+9UdVZ6fu2kfLI\nx0Y/IRcpn91wvKrZ6Htl/8tJj1E/PmuwRiFef3rt7trdHtfOyv7V1PSrz7Wa/raxpOu+5xf9\n8HlNQfKvx6a7WOfnp9f8eH6/P+Px6qLl6OS63MjLcqNyB0TmxChiuAtNNsfJOn15g37q0MRo\ntexo008fn1jlfhSUBwFb6VRt6m8G3Z6kTmrRW1fuOlP6y9MATBuaNC439pWvytyfOhFDrilI\nunF0ukQsOtxYtO70WqP9Iml2xfVGO832v2+60BudPTJ1zpg0y7fb9C+/wq2DxmgooTEamDfe\neGPbtm2EEIZhZs+ePWXKlLi4uNbW1l27dq1bt87lchFCrr322oULF4bmboM0np5AY1QANEYF\nQGNUgFD+aD8xbdK8Qb8512p6dn1x11kIbx2fOXNY0pn28uXH/i347FLh2xjlTEyedGPOHIYR\nrT9Ys/lIrS2QxqhMIspPixyeETU8I0qrkBJCHC77qbZTx1uOlzQf7/T5PSrYLzaVVBUpj5IT\neau9xfexyb4la5KvzZo1JGYIIaS4pv3zA9Vdv0VctDGaqFMUDk6YeFm8ViEhhJxpP7P3/J5j\nTUe7O2S+O8HYrIkYUUHc8KnpU1M0qYSQE3Wdmw7XHK9pZy72GohWy26+PH18bhzDkLLW0o1n\nvvDaAfeht8pRSpT3D38gRZPy9bHzerP95rHpdqfto7IPuP0m+rAxSgiZmDLp5txfN3Vant1w\nvOtRh1Fq2dIb8qM00k9OrDpYf9CfBwrSG2dg9KB7hvxOIpK+933F7hONQWqMXj008dZxGWIx\n813Nzi8rNjtZZwBfuSMy7h22UClRfbC7YmfpL3YIVcrES2/IT45Srjv9eddv48TnVjo/Nv/u\nIb/TWxzPrC++6HmTLyrsGqOEELGIKcxLyE+LLK3tOFLZyh/o6n7ype6o5ZIlNwxNilR+fnrN\nnlrPWfb81HU7EKuMXTziQY0sYuV35T+c9LKP8APTB47Kiv74xKqD9Qf8fBT/G6NdiRhRgipx\nbNLY0Qlj1FI1S8jJus6dZQ1FZ1u77ktLf2O0OxqFZOyA2PG5sQMStAwhDpe9pKV0b80Ppzr9\nmlH0osYljbsp99ciRvz9icbj5zpO1nXof95fNUhvnAiltCAjanh61JBUncfskxyni201WBs7\nrXyrtLHT0thh8Tpptf9C3xiVSURLbxiaFvOLU1z6NiRm6O/yf9/YYf2/tcd8n23Sz3IyYtVP\nzBqskovXnvq865ybhBCGML++7JbxyRPONOhf/LLM40F9NEZlEtHdVw4Ynxurt3W+V/Lu2Y6z\nFx2MDwGlE62IzonMzY3KzYnMjZRHEkJYwn59dsu3Vd/4Pr+csK20RCSZmXnNlLSrGEa0o6T+\ns/1VPl6KqdGq3xUOyIrT6G36Nac+K24+FtBjueN7oy9sKq1tM4lFzNM3DUuNVnX85Unb4SME\njdHQQmM0AI2NjQsWLOC6jY8++ujkyZPdr929e/eLL75ICBGLxStWrIiJiQn23QZpPD2ExqgA\naIwKgMaoACE+mmnuwFvHJY3fe7rp7R2/mAaoMC/hriuzm0yNrx151X02ukCFe2OUEJKly7pr\nyD0Rsoiis63//rbM7iQen00lIiZCKY1UyyKU0kiVLFIl1Sql8RGKgUkRMomIEGK0G0tbSo63\nHD/RWubjJ/TQlOOut7YDWbrsWdmzsnUDWEJKz3U0dloMVofRYjdYHAarQ2+2dZpsFgdrsDrc\nP85IRMyorOjCwQmDknUMISa76WDDgX11ext+eZxv6MvxalD0oKvSpuZGXUYIqW4xfvVT3cGK\nFq970yik4muHJ88cliyTiM4bz39xZkPXffT80YvlaGXaB4Yv5s5A1WnrXFH8Ts3Pp3vq28Yo\n+Xk3mbNNhhc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p6fHx8Q4U1R5nzpxRD/fa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\nWtV1BVPfdSw+s83Ly5s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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": { + "image/png": { + "height": 600, + "width": 900 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "options(repr.plot.width = 15, repr.plot.height = 10) # bigger plot area\n", + "require(RColorBrewer)\n", + "\n", + "ggplot(dplot2, aes(x=Weeks, y=percentage, fill=variable))+\n", + " geom_area(size=0.5, alpha=0.8, color='white')+\n", + " scale_fill_viridis(discrete = TRUE)+\n", + " theme_ipsum(base_size = 25, axis_title_size = 25, plot_title_size = 35)+\n", + " ggtitle(\"Hackathon code usage over time\")+\n", + " xlab(\"Weeks Since Hackathon End\")+ylab(\"Percentage of Hackathon code blobs\")+\n", + " scale_x_continuous(breaks = round(seq(0, 105, by = 5),1))+\n", + " theme(text = element_text(size=20), legend.title=element_blank(), legend.position=\"bottom\",\n", + " axis.text.x = element_text(angle=0), legend.text=element_text(size=25), \n", + " axis.title=element_text(size=20,face=\"bold\"))+\n", + " scale_fill_brewer(palette=\"Set1\")\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generating plot for RQ1 result visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
A data.frame: 4 x 5
TimingFlagCo-ContributorOther AuthorProject MemberTotal-TimingType
<chr><dbl><dbl><dbl><dbl>
After 0.08 0.29 4.93 5.30
Before 0.8069.0915.67 85.56
During 0.11 0.16 8.87 9.14
Total-AuthorType0.9969.5429.47100.00
\n" + ], + "text/latex": [ + "A data.frame: 4 x 5\n", + "\\begin{tabular}{lllll}\n", + " TimingFlag & Co-Contributor & Other Author & Project Member & Total-TimingType\\\\\n", + " & & & & \\\\\n", + "\\hline\n", + "\t After & 0.08 & 0.29 & 4.93 & 5.30\\\\\n", + "\t Before & 0.80 & 69.09 & 15.67 & 85.56\\\\\n", + "\t During & 0.11 & 0.16 & 8.87 & 9.14\\\\\n", + "\t Total-AuthorType & 0.99 & 69.54 & 29.47 & 100.00\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "A data.frame: 4 x 5\n", + "\n", + "| TimingFlag <chr> | Co-Contributor <dbl> | Other Author <dbl> | Project Member <dbl> | Total-TimingType <dbl> |\n", + "|---|---|---|---|---|\n", + "| After | 0.08 | 0.29 | 4.93 | 5.30 |\n", + "| Before | 0.80 | 69.09 | 15.67 | 85.56 |\n", + "| During | 0.11 | 0.16 | 8.87 | 9.14 |\n", + "| Total-AuthorType | 0.99 | 69.54 | 29.47 | 100.00 |\n", + "\n" + ], + "text/plain": [ + " TimingFlag Co-Contributor Other Author Project Member Total-TimingType\n", + "1 After 0.08 0.29 4.93 5.30 \n", + "2 Before 0.80 69.09 15.67 85.56 \n", + "3 During 0.11 0.16 8.87 9.14 \n", + "4 Total-AuthorType 0.99 69.54 29.47 100.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Read and preprocess data\n", + "tdf = fread('/da4_data/play/trackhack/Analysis/CodeGeneration/RQ1Pivot.csv')\n", + "\n", + "v = t(matrix(c(\"Total-AuthorType\",as.numeric(colSums(tdf[,c(2:4)])))))\n", + "colnames(v) = colnames(tdf)\n", + "tdf = rbind(tdf,v ) %>% mutate_each_(as.numeric, c(2,3,4))\n", + "\n", + "v = data.frame('Total TimingType'= rowSums(tdf %>% select(c(2,3,4))))\n", + "tdf = cbind(tdf,v)\n", + "colnames(tdf) = c('TimingFlag', 'Co-Contributor', 'Other Author', 'Project Member', 'Total-TimingType')\n", + "\n", + "tdf\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
A data.frame: 16 x 3
TimingFlagvariablevalue
<fct><fct><dbl>
Total-AuthorTypeCo-Contributor 0.99
After Co-Contributor 0.08
During Co-Contributor 0.11
Before Co-Contributor 0.80
Total-AuthorTypeOther Author 69.54
After Other Author 0.29
During Other Author 0.16
Before Other Author 69.09
Total-AuthorTypeProject Member 29.47
After Project Member 4.93
During Project Member 8.87
Before Project Member 15.67
Total-AuthorTypeTotal-TimingType100.00
After Total-TimingType 5.30
During Total-TimingType 9.14
Before Total-TimingType 85.56
\n" + ], + "text/latex": [ + "A data.frame: 16 x 3\n", + "\\begin{tabular}{lll}\n", + " TimingFlag & variable & value\\\\\n", + " & & \\\\\n", + "\\hline\n", + "\t Total-AuthorType & Co-Contributor & 0.99\\\\\n", + "\t After & Co-Contributor & 0.08\\\\\n", + "\t During & Co-Contributor & 0.11\\\\\n", + "\t Before & Co-Contributor & 0.80\\\\\n", + "\t Total-AuthorType & Other Author & 69.54\\\\\n", + "\t After & Other Author & 0.29\\\\\n", + "\t During & Other Author & 0.16\\\\\n", + "\t Before & Other Author & 69.09\\\\\n", + "\t Total-AuthorType & Project Member & 29.47\\\\\n", + "\t After & Project Member & 4.93\\\\\n", + "\t During & Project Member & 8.87\\\\\n", + "\t Before & Project Member & 15.67\\\\\n", + "\t Total-AuthorType & Total-TimingType & 100.00\\\\\n", + "\t After & Total-TimingType & 5.30\\\\\n", + "\t During & Total-TimingType & 9.14\\\\\n", + "\t Before & Total-TimingType & 85.56\\\\\n", + "\\end{tabular}\n" + ], + "text/markdown": [ + "\n", + "A data.frame: 16 x 3\n", + "\n", + "| TimingFlag <fct> | variable <fct> | value <dbl> |\n", + "|---|---|---|\n", + "| Total-AuthorType | Co-Contributor | 0.99 |\n", + "| After | Co-Contributor | 0.08 |\n", + "| During | Co-Contributor | 0.11 |\n", + "| Before | Co-Contributor | 0.80 |\n", + "| Total-AuthorType | Other Author | 69.54 |\n", + "| After | Other Author | 0.29 |\n", + "| During | Other Author | 0.16 |\n", + "| Before | Other Author | 69.09 |\n", + "| Total-AuthorType | Project Member | 29.47 |\n", + "| After | Project Member | 4.93 |\n", + "| During | Project Member | 8.87 |\n", + "| Before | Project Member | 15.67 |\n", + "| Total-AuthorType | Total-TimingType | 100.00 |\n", + "| After | Total-TimingType | 5.30 |\n", + "| During | Total-TimingType | 9.14 |\n", + "| Before | Total-TimingType | 85.56 |\n", + "\n" + ], + "text/plain": [ + " TimingFlag variable value \n", + "1 Total-AuthorType Co-Contributor 0.99\n", + "2 After Co-Contributor 0.08\n", + "3 During Co-Contributor 0.11\n", + "4 Before Co-Contributor 0.80\n", + "5 Total-AuthorType Other Author 69.54\n", + "6 After Other Author 0.29\n", + "7 During Other Author 0.16\n", + "8 Before Other Author 69.09\n", + "9 Total-AuthorType Project Member 29.47\n", + "10 After Project Member 4.93\n", + "11 During Project Member 8.87\n", + "12 Before Project Member 15.67\n", + "13 Total-AuthorType Total-TimingType 100.00\n", + "14 After Total-TimingType 5.30\n", + "15 During Total-TimingType 9.14\n", + "16 Before Total-TimingType 85.56" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# preparing data for plot\n", + "pdf = tdf\n", + "pdf$TimingFlag = factor(pdf$TimingFlag, levels=c('Total-AuthorType','After','During','Before'))\n", + "pdf = pdf %>% arrange(TimingFlag)\n", + "# pdf$AuthorFlag = colnames(pdf)[c(2:5)]\n", + "pdf = melt(pdf, id.vars=c(1))\n", + "# pdf$value = paste0(pdf$value, '%')\n", + "pdf" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning message:\n", + "\"Vectorized input to `element_text()` is not officially supported.\n", + "Results may be unexpected or may change in future versions of ggplot2.\"\n", + "Warning message:\n", + "\"Vectorized input to `element_text()` is not officially supported.\n", + "Results may be unexpected or may change in future versions of ggplot2.\"\n" + ] + }, + { + "data": { + "image/png": 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0Pvz2E3tNTSNaF2wcHBkydP7vBPffr0Ye7uVAZPY1pROTo6rlixQtOHz507NzAw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\nVVhYyB53lWGi4mY4FFgbY9IdanhRHTJkCHN6Uc8Tsd27d4+e0KP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HWltXzWUGKUEEKIq3ANIs0P67VHD4KaCQDQ/YNs/Ea7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ffvopIyNDd/Puu+/297dwuemHH35oaNAngJYsWWlknjgAACAASURBVPLkk0/6Nl18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\n0wO1B3f8mGNFql5Pq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8pZ0F04oSev5u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fUZAu7Mvi0oIGqkzd/f0nJ1/D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\nF4EA9DJ3EEqMEuJYxsvnjZfV2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hLsEH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\nDhJ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HGZvE49W1qiMg0Fxt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\nczpdH7pJyy9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U6xzarhvWurMIGIuWQQajRxEyjHXDI6orYF+GyJoh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\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i6hZ6gHoZdTsOPjYOH6weRfZbfnVaRr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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": { + "image/png": { + "height": 600, + "width": 900 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "library(ggplot2) \n", + "ggplot(pdf, aes( variable, TimingFlag)) + \n", + "geom_point(aes(size = value, color = variable)) + \n", + "theme_bw() + xlab(\"\") + ylab(\"\")+scale_size_continuous(range=c(40,80)) + scale_x_discrete(position = \"top\") +\n", + "geom_text(aes(label = paste0(value,'%')), size=10) + theme(legend.position=\"none\", text = element_text(size=30))+\n", + "theme(axis.text.x=element_text(face=c('plain','plain','plain','bold')), \n", + " axis.text.y=element_text(face=c('bold','plain','plain','plain')) )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.6.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From cefa1e56bd0959d9699194c66323918d4c3e6102 Mon Sep 17 00:00:00 2001 From: Tapajit Dey Date: Wed, 13 Jan 2021 12:04:50 +0000 Subject: [PATCH 3/3] Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 183c072..1fc0696 100644 --- a/README.md +++ b/README.md @@ -21,3 +21,6 @@ Command for getting required data from WoC ## [Analysis for identifying when and by whom the code was created (RQ1)](./TrackCodeGeneration.ipynb) ## [Analysis for tracking hackathon code reuse (RQ2)](./TrackCodeUsage.ipynb) +## [Analysis for identifying factors that affect code reuse (RQ3)](./Influence_factors.ipynb) + +## [Classifying projects and plot generation](./Project_classification_code_flow.ipynb)