Creating classes and determining progression over time

I have half of the assignment completed but I really am struggling with Part III and IV; willing to negotiate. Basically I need to have an attribute of the class (age and income) to update everytime somone runs the "predictIncome" function.


Then Part 4 wants to run select scenarios in the future.

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{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "Data Mining- Final", "provenance": [], "collapsed_sections": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "LAJMSNJ49cAu" }, "source": [ "<b>\n", "\n", "<p>\n", "<center>\n", "<font size=\"5\">\n", "Introduction to Data Science, Spring 2020\n", "</font>\n", "</center>\n", "</p>\n", "\n", "<p>\n", "<center>\n", "<font size=\"4\">\n", "Final Exam\n", "</font>\n", "</center>\n", "</p>\n", "\n", "<p>\n", "<center>\n", "<font size=\"3\">\n", "Data Science, Columbian College of Arts & Sciences, George Washington University\n", "</font>\n", "</center>\n", "</p>\n", "\n", "<p>\n", "<center>\n", "<font size=\"3\">\n", "Author: Johnny Thomas\n", "</font>\n", "</center>\n", "</p>\n", "\n", "</b>" ] }, { "cell_type": "markdown", "metadata": { "id": "GARVVu2k8W2j", "colab_type": "text" }, "source": [ "*My VSCode was giving me an unbearable level of difficulty so I am doing the project using Google Collaborate*\n", "\n" ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "vLkEiMBMXkJ-", "outputId": "8aee3ecb-527b-4da9-aa63-b3bb0cc7617d", "colab": { "base_uri": "https://localhost:8080/", "height": 35 } }, "source": [ "from google.colab import drive\n", "drive.mount('/content/drive', force_remount=True)\n" ], "execution_count": 56, "outputs": [ { "output_type": "stream", "text": [ "Mounted at /content/drive\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "asLqW5qtQb5s", "colab": {} }, "source": [ "import warnings\n", "\n", "# Ignore warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "\n", "abspath = '/content/drive/My Drive/Colab Notebooks/Data Mining Final/'" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "NlsWYtIF9OY6", "colab_type": "text" }, "source": [ "**Import the Data**" ] }, { "cell_type": "code", "metadata": { "id": "QZI0FC5Q8xSJ", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 87 }, "outputId": "7e243fa3-6442-4dfa-f01e-1e905727693b" }, "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "world1 = pd.read_csv(abspath +'Final2020s_World1.csv', index_col=\"id\")\n", "world2 = pd.read_csv(abspath +'Final2020s_World2.csv', index_col=\"id\")\n", "print(\"\\nReady to continue.\")\n", "\n", "# Standard quick checks\n", "def dfChkBasics(dframe, valCnt = False): \n", " cnt = 1\n", " print('\\ndataframe Basic Check function -')\n", " \n", " try:\n", " print(f'\\n{cnt}: info(): ')\n", " cnt+=1\n", " print(dframe.info())\n", " except: pass\n", "\n", " print(f'\\n{cnt}: describe(): ')\n", " cnt+=1\n", " print(dframe.describe())\n", "\n", " # print(f'\\n{cnt}: dtypes: ')\n", " # cnt+=1\n", " # print(dframe.dtypes)\n", "\n", " # try:\n", " # print(f'\\n{cnt}: columns: ')\n", " # cnt+=1\n", " # print(dframe.columns)\n", " # except: pass\n", "\n", " print(f'\\n{cnt}: head() -- ')\n", " cnt+=1\n", " print(dframe.head())\n", "\n", " print(f'\\n{cnt}: shape: ')\n", " cnt+=1\n", " print(dframe.shape)\n", "\n", " if (valCnt):\n", " print('\\nValue Counts for each feature -')\n", " for colname in dframe.columns :\n", " print(f'\\n{cnt}: {colname} value_counts(): ')\n", " print(dframe[colname].value_counts())\n", " cnt +=1\n", "\n", "# examples:\n", "# dfChkBasics(df, True)\n", "\n", "print(\"\\nReady to continue.\")\n" ], "execution_count": 58, "outputs": [ { "output_type": "stream", "text": [ "\n", "Ready to continue.\n", "\n", "Ready to continue.\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "GrCeqctu9x-2", "colab_type": "text" }, "source": [ "# Two Worlds (Part I - 25%)\n", "\n", "The last few days, I was searching for utopia, and came to the conclusion: If you want to do it right, do it yourself. \n", "So in a couple of days, I created two worlds. (No biblical implications.) \n", "\n", "# Data dictionary:\n", "* age00: the age at the time of creation. This is only the population from age 30-60. \n", "* education: years of education they have had. Education assumed to have stopped. A static data column. \n", "* marital: 0-never married, 1-married, 2-divorced, 3-widowed \n", "* gender: 0-female, 1-male (for simplicity) \n", "* ethnic: 0, 1, 2 (just made up) \n", "* income00: annual income at the time of creation \n", "* industry: (ordered with increasing average annual salary, according to govt data.) \n", " * 0. leisure n hospitality \n", " * 1. retail \n", " * 2. Education \n", " * 3. Health \n", " * 4. construction \n", " * 5. manufacturing \n", " * 6. professional n business \n", " * 7. finance \n", "\n", "Please do whatever analysis you need, convince your audience both, one, or none of these worlds is fair, or close to a utopia. \n", "\n", "Use plots, tests, models, whatever you deem appropriate and convincing to draw your conclusions. \n", "\n", "There are no must-dos, should-dos, cannot-dos. The more convenicing your analysis, the higher the grade. It's an art.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "5nmh-Tsc-Zo5", "colab_type": "text" }, "source": [ "\n", "\n", "---\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "pOUeOCLY-bZr", "colab_type": "text" }, "source": [ "In determining if a world is utopia, we need to define exactly what constitutes utopia.\n", "\n", "We will assume this is a capitalistic society (which is inherently non-utopian, but that's a discussion for another time). Thus to determine if either of these worlds are fair (or close to it) we will look at the distribution of annual income (income00) across various groups. Fair means it is not set up so certain people are more advantageous than others due to the system itself.\n", "\n", "In theory, anything out of your control should not stop you from attaining the income of others. This boils down to gender and ethnicity. We do not include 'age' because the argument can be made that the lack of experience can skew the data and some jobs cannot be done by older folks.\n", "\n", "So for a world to be utopian, it needs to be fair and thus set up for you to suceed despite your biological condition." ] }, { "cell_type": "markdown", "metadata": { "id": "6mPYmeEx-ufa", "colab_type": "text" }, "source": [ "**Gender**" ] }, { "cell_type": "markdown", "metadata": { "id": "LjjUzO-v-yLd", "colab_type": "text" }, "source": [ "Frequency Table of Gender in the Worlds" ] }, { "cell_type": "code", "metadata": { "id": "chOAy9c7-0z9", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 211 }, "outputId": "b97302e0-9c07-45c3-d8c0-5a82aeadceec" }, "source": [ "# Gender\n", "print(\"World 1\")\n", "print(pd.crosstab(index=world1[\"gender\"], columns=\"count\"))\n", "print(\"\")\n", "print(\"World 2\")\n", "print(pd.crosstab(index=world2[\"gender\"], columns=\"count\"))" ], "execution_count": 59, "outputs": [ { "output_type": "stream", "text": [ "World 1\n", "col_0 count\n", "gender \n", "0 12143\n", "1 11857\n", "\n", "World 2\n", "col_0 count\n", "gender \n", "0 12310\n", "1 11690\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "28lmKrDf-_z5", "colab_type": "text" }, "source": [ "Ratio of male to female is comparable in both worlds, slightly higher in female." ] }, { "cell_type": "markdown", "metadata": { "id": "9W1N9hyOC5g3", "colab_type": "text" }, "source": [ "**World 1 Gender**" ] }, { "cell_type": "code", "metadata": { "id": "XWln-oHfAWPt", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 339 }, "outputId": "37170579-903e-4d9e-f1e2-9513d6531e0c" }, "source": [ "import seaborn as sns\n", "\n", "x1_world1 = world1.loc[world1.gender== 0 , ['income00']]\n", "x2_world1 = world1.loc[world1.gender== 1 , ['income00']]\n", "\n", "# plot\n", "fig, axes = plt.subplots(1, 2, figsize=(10, 3), sharey=True, dpi=100)\n", "sns.distplot(x1_world1 , color=\"dodgerblue\", ax=axes[0], axlabel='Female')\n", "sns.distplot(x2_world1 , color=\"deeppink\", ax=axes[1], axlabel='Male')\n" ], "execution_count": 60, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fad981e65f8>" ] }, "metadata": { "tags": [] }, "execution_count": 60 }, { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "<Figure size 1000x300 with 2 Axes>" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "ZGbnNmsrCcXg", "colab_type": "text" }, "source": [ "We see here there is an obvious peak in income of women in the lower income values, as well as less spread compared to men. To better illustrate the difference, we run a t-test." ] }, { "cell_type": "code", "metadata": { "id": "skcI3g9RC-SW", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "outputId": "b6061eab-908a-4ca4-ee70-a130ddef7d8f" }, "source": [ "from scipy.stats import ttest_ind\n", "\n", "ttest,pval = ttest_ind(x1_world1,x2_world1)\n", "print(\"p-value\",pval)" ], "execution_count": 61, "outputs": [ { "output_type": "stream", "text": [ "p-value [5.35576097e-199]\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "4Qki-gecDOWK", "colab_type": "text" }, "source": [ "The two groups are recieving significantly different income in world 1 according to this extremely low p-value; NOT FAIR! NOT UTOPIAN!" ] }, { "cell_type": "markdown", "metadata": { "id": "ie4YKDTDDfiO", "colab_type": "text" }, "source": [ "**World 2 Gender**" ] }, { "cell_type": "code", "metadata": { "id": "Qy7IIOHXDiwh", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 339 }, "outputId": "2fe6f212-fdf0-4a3d-e857-7bf6ec8be61d" }, "source": [ "x1_world2 = world2.loc[world2.gender== 0 , ['income00']]\n", "x2_world2 = world2.loc[world2.gender== 1 , ['income00']]\n", "\n", "# plot\n", "fig, axes = plt.subplots(1, 2, figsize=(10, 3), sharey=True, dpi=100)\n", "sns.distplot(x1_world2 , color=\"dodgerblue\", ax=axes[0], axlabel='Female')\n", "sns.distplot(x2_world2 , color=\"deeppink\", ax=axes[1], axlabel='Male')\n" ], "execution_count": 62, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fad98085b38>" ] }, "metadata": { "tags": [] }, "execution_count": 62 }, { "output_type": "display_data", "data": { "image/png": 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EVCx+rm7D9xxdFWybgDfNbHzwencgHShr8L4yoIjG3QlURG0pVyd0S9DL1DsBm+TJvXyF13V7YfbasKMREWkzKd82sTboZeqTBx1jeV+2DRTnwshu/o7kbz4JOxoRiTPtnjQ551Y6537nnJvvnHvPOXcj8B7wvVO47N1AQdTWpw1CTShHkqb8cONojawMmBr8if2v1hMUkeSR8m0TGyv944CCcONorfNL/ONTK2HngXBjEZG4EtbAqA+AYPAwu4A6oLDBOYXA9sbe7Jyrcc5VRjZgX7tFGqe2BO1SnwTsaQKfNGWlw8Iy+LjRP2URkcSitgnYXOUfE7Vx6p8P4wuhpg4ePMEQRBFJSWH1nY/FD9vDOVdrZvOBC4FnAcwsLXh+b0jxxY1Zi48/VlnjCykYfjRBIsrNhM+fBk8ugwcWwITisCMSEZFTUlcPW4OkqW+CJk1mcMvp8PVX4f+WwLcn+Dt8IpLyWrNOU66ZjTWzscGhAcHzkuD1u81sZtT53zWzy81ssJmNMrNfARcAv4m67D3AzWZ2vZkNB+7Dlzaf0dovlswiQ/N65Pihbonqb4P/g15aA9urwo1FRERO0Y4DcKjeJxndOoUdTetdNsiv3bTzADy9KuxoRCROtGZ43kTgk2ADn/B8AvwseF4MlESdnwn8ElgM/BU4Hfgb59xrkROcc48DdwTXWIDvibrEOdewOIRwdGheIhaBiDayB0zpDYfr4aFFYUcjIiKnJDI0r3euX/MoUXVIh5tG+/3fLdDEWxEBWjE8zzn3Jn5k2Ilev6HB818Av2jGde9Fw/GaJZEr5zV0w+kwbwvMWgLfnpx4xZZERCSwOWicEnU+U8TMJZCZ5rel5fCTd3z58emjwo5MREKkFXISUCRp6pOAlfMaumiQT/52H4TnV4YdjYiItFqyJE0A2R1gYrDqyVupVzleRI6npCnBVNbAvgQvAhEtIw2mj/H7MxZqFISISEKqd0eLQPRJgsYJ4JygYvyycpUfFxElTYlmczCfqWcOZCZ4QZ9Zi/2WkQYd0mDZTvjXd8KOSkREWmzHAait90PaemSHHU3b6JENI7r5/bfV2ySS6pQ0JZgtSTT6ISK7A4wNRkG8tyncWEREpBU2R022TeQiEA1Feps+3A57q8ONRURCpaQpwWwN2qVeSTCfKdqZQbu0dOfR6oAiIpIgjsxnSpKheRGDO0Nxju9Fe2hZ2NGISIiUNCWYHfv9Y1FOuHG0taJcGNQFHDBT5cdFRBJLpNx4Mg2DAL/Y7dnBXb2ZS/zcLRFJSUqaEkhtHewJRgf0TLKkCY72Nj22FKoPhxuLiIg0U3QRiN5J1tMEMK4ndEyH0kr4q8aQi6QqJU0JZNcB3xOT3QFyOoQdTdsb1h06Z/lh43/WIuwiIolhbw3U1EG6Qc8kKQIRLTMdJgQTbx9cEm4sIhIaJU0JpCwYmtcz248YSDZpBlN6+/2HNERPRCQxRMaN9+gE6Un6s2JqsX98ZT1s3x9uLCISiiT91y057YwkTUk4NC9iYi9/U29BGSwqCzsaERE5qbJgDaPCJG6cinNhcjHUOZi1POxoRCQESpoSyI6gXUrmpCk3Ez4z2O+rt0lEJAFEel4Kk3BoXrTrR/rHh5ZCXX24sYhIzGWEHYA0344U6GkCX0kP4OkVcFo3P4crYtrocGISEZETSIWeJoB9NdApw5dX//HbMDxY+Hb6qHDjEpGYUE9TgjhcD+UH/X6yJ00l+X4kxOF6mL8t7GhEROSEnDs64TbZe5o6pMOkoCDE3K3hxiIiMaekKUHsOuCrumalQ35m2NG0LzM4IygIMW+LlsUQEYlblbVQXQcG9EjypAngjKAgxLJyX+pVRFKGkqYEsTNqPlMyVs5r6PRCnyCWH4Q1u8OORkREGhXpZereCTJS4CdFYQ4MLPDrf8zbHnY0IhJDKfAvXHI4MvohyYfmRWRlwPjght68LeHGIiIiJ5Aq85miTe3lH+dtU0EIkRSipClBHFkGI4XapcgQveW7NApCRCQuHUmaUmBoXsSYHn6F+YoaWK6hECKpQklTgtgRtbBtquiZAwM7+1EQH6i3SUQk/qTaMAjwwxAjBSHmqVqRSKpocdJkZueY2QtmttXMnJldcZLzv2BmfzGznWZWaWZzzeziBuf8U3Ct6G1FS2NLVnX1vhAEpFa7BHBGH//44VZfTU9EROJIKvY0AUwJxo8vL4ftVeHGIiIx0ZqephxgIXBrM88/B/gL8BlgAvAG8IKZjWtw3lKgOGo7qxWxJaXd1X4R8g5pUNAx7Ghia0R3Xy2w6hAs3Rl2NCIickRVLew/5CvnpdIwCPDft3++Hwrx+MqwoxGRGGjx4rbOuZeBlwGsGWXcnHPfbXDoH8zscuBzwCdRxw8755pVisbMsoCsqEN5zXlfoor0MnXPhrQUqJwXLT0NJvWG19bD+5vDjkZE5MRSrW060svUtSNkpocbSximFENpJcxaBt8ZnxqlbUVSWMznNJlZGr4haTh7ckgw5G+dmT1iZiVNXOZOoCJqS+qf05FFbbun2I28iMm9fLJYWgErdoUdjYjICaVU23RkPlOq9TJFnN7Dr42xrgLe19wmkWQXRiGIO4Bc4ImoY/OAG4BLgG8AA4C3zexEd+nuBgqitj7tFWw8KA9u5nXrFG4cYcnP8sP0AB5aFG4sIiJNSKm2iR2RBQRTNGnKyvCJE8Ajy8KNRUTaXUyTJjObBvwU+LJzbkfkuHPuZefck865Rc652fj5T52BLzd2HedcjXOuMrIB+2IRf1giPU2pmjTB0YIQT6+AfTXhxiIi0phUa5vYFTROPVI0aQKYHBSEeGEN7KsNNxYRaVcxS5rM7BrgD/iEaU5T5zrn9gKrgMGxiC3epXpPE/jS4z2y4cAhnziJiEjIIklT9xRunPrnw5AucOAwPLs67GhEpB3FJGkys68AM4CvOOdebMb5ucAgIOUHCR+uhz3Bwq7dUvhmntnRxW4fWgTOhRuPiEhKq6uH8qBxSuWkyQyuHe73NURPJKm1Zp2mXDMba2Zjg0MDguclwet3m9nMqPOnATOB24F5ZlYUbAVR5/ynmZ1rZv3N7EzgGaAOePQUvltS2FvtK5p2SIO8zLCjCdf4YuiUAat3wzwtdisiEp49NVDv/EKvBVknPz+ZfWmY/+8wvwxWlIcdjYi0k9b0NE3ElwqPlAu/J9j/WfC8GIiufPd1fGnz3+B7jiLbr6PO6YNPkFbiC0SUA2c451J+ZZ4j85myVc20YwZcOczvqyCEiEiIjgzN65h6a2E01DMbLurv92ctDzUUEWk/rVmn6U38UnYnev2GBs/Pa8Y1r2lpHKlC85mOdd0YmLUEXlnrq90W5oQdkYhICopeQFBg2nB4aR08sQJ+PDU1160SSXJhlByXFtilynnHGNEDJhb7uV6PLQk7GhGRFKUiEMe6sB8UZvt5Xq+Whh2NiLQDJU1xTuXGj3fdGP84a4lPnkREJMaUNB01cwnMWgYjgwUFfzHPHxORpKKkKc6VawTEcS4d7JPI7VUwZ13Y0YiIpKCdkTWalDQdMbnIP67YDRVaUFAk2ShpimPHlBtXu3REVgZcM9Lvz1RBCBGR2DpcD7tVbvw4PbJhYIEvefvh9rCjEZE2pqQpjm3dd7Sia16KV3RtaNpoX43k3U2wZnfY0YiIpJBNUY1TvhqnY0wKeps+2KYFBUWSjJKmOFa61z9266SKrg31yYcLB/j9RxaHG4uISEpZFzRO3dU4Hef0npCV7gtCvLc17GhEpA0paYpj66OSJjlepCDEU8vgwKFwYxERSRmRpEnzmY6XlQ5je/r9WcvCjUVE2pSSpji2QUlTk87pByUFUFkLz60MOxoRkRSxrsI/qnFq3JRgiN4La6FSBSFEkkWLF7eV2CmNtEuqnHfErAZD8Ub2gI0VviDENSPBNFJERKR9rQ8aJ/U0Na4k36/ZVHYAnlkN148KOyIRaQPqaYpjG4N2qavapROaUOznIi/bCZ+oWJGISPuLntMkxzODycV+f9bycGMRkTajpClOOQebKv1+l47hxhLPcjr4ebcAD6n8uIhI+zpc76vngZKmpkwo9Hf0Pi6D5eVhRyMibUBJU5zaeQCqD/uy2p2VNDVpSh//+OfVsPtguLGIiCS1LVU+cVK58ablZcLF/f3+IyoIIZIMlDTFqUgvU0GWb5vkxPrmQ+88qK2DO1/z854im4iItKENkcm2HVVu/GSmjfCPT670DZSIJDT9HI9Tm4J2qYtGPzTLGb3947wtfs1FERFpBxuCO3pdNQTipC4o8QUhdlfDK+vDjkZETpGSpji1Ue1Si4wphE4ZsKcaVmn4uIhI+yhVufFmy0iDa4b7fRWEEEl4SprilHqaWiYz3VfSA3h/S7ixiIgkrdLgjl433dFrlmlB0vTGRthaFW4sInJKlDTFqcicJpUbb74pwRC9VeUqCCEi0i42aC2MFhnYGab28uPGH1Vvk0giU9IUp470NOlmXrN1z4YhXcHh5zaJiEgb26CepmabucRv/fP98/sXwgOqUCSSqFqcNJnZOWb2gpltNTNnZlc04z3nmdnHZlZjZmvM7IZGzrnVzErNrNrM5pnZ5JbGliwO1R3txdfNvJaJFIT4aJv/7ygiIm1kbzXsrfH7apyab3QPyEqH8uqjCwOLSMJpTU9TDrAQuLU5J5vZAOBF4A1gLPAr4A9mdnHUOVcD9wB3AeOD6882s56tiC/hbavyPflZ6X6pB2m+Yd2hcxYcOASLd4QdjYhIEon0MvXI9g2UNE9WOowLfs58sD3cWESk1VqcNDnnXnbO/dg590wz33ILsN45d7tzbrlz7l7gKeB7UefcBtzvnJvhnFsWvOcAcGNjFzSzLDPLj2xAXku/RzzbGAzN65MPpmUwWiTNYHLQ2zRXQ/REJIaSvW06kjRFhptJ800OKhUt3AkVNeHGIiKtEos5TVOBOQ2OzQ6OY2aZwIToc5xz9cHzqSe45p1ARdS2uW1DDlekCERJQbhxJKpJvSDdYHMlLNBNPRGJnaRum44kTf2UNLVYSR4U5cDhenhiRdjRiEgrxCJpKgLKGhwrA/LNrBPQHUg/wTlFJ7jm3UBB1NanzaKNA5EiEH3VLrVKbqZftwlg5qJwYxGRlJLUbdORynn9dEevxcxgatDb9MAScFqFXSTRJGT1POdcjXOuMrIB+8KOqS1FFrbtq3ap1aYGP1VeWAW7DoQbi4ikhmRvm9TTdIomFEFmGqzaA+9tDTsaEWmhWCRN24HCBscKgUrn3EFgF1B3gnNScnBVpKepRO1Sq/XNhz55UFsHjy0JOxoRkSRQqqTplHTKgPHBT50ZKj0ukmhikTTNBS5scOzTwXGcc7XA/OhzzCwteD43BvHFnU3qaWoTkd6m338MDy2EWYuPbiIi0gKH62Fz0HHWX41Tq53Zyz++uA7K9ocbi4i0SGvWaco1s7FmNjY4NCB4XhK8freZzYx6y/8CA83sF2Y2zMy+CXwZ+K+oc+4Bbjaz681sOHAfvrT5jNZ8qUS2vxbKD/p9zWk6NaN7Qk4HX6ho+a6woxERSWBbq3zilJnmCxpI6/TOg0lF/r/lI8vDjkZEWqA1PU0TgU+CDXzC8wnws+B5MVASOdk5tx74LL53aSFwO/A159zsqHMeB+4IrrEAv57TJc65hsUhkl6kl6kgC/Kzwo0l0XVI95X0AOYmVw0rEZHYisxnKsn3aztI690wyj8+sFirsIskkNas0/Smc84a2W4IXr/BOXdeI+8Z55zLcs4Ncs490Mh173XO9QvOmeKcm9fK75TQNDSvbU3pDYZfhH17VdjRiIgkqFJVzmszlw+BHp1g237487qwoxGRZkrI6nnJbKOKQLSpzh1hRA+//74WuxURaZ3oniY5NVnpR3ub7l8Ybiwi0mxKmuKMepraXqQgxMfb4OChcGMREUlIkaRpgJKmNnH9KOiQBh9uh49TbiaCSEJS0hRntLBt2xvYGQpz4FA9zE/JIvYiIqdIC9u2rcIcuHKI3/+9eptEEoGSpjgT6WkqUbvUZsyO9ja9twnqtRC7iEjLaGHbtvf10/3jc2s06VYkAShpiiPOHZ3TpJ6mtjWuyK8ruKcalu0MOxoRkbl3MyMAACAASURBVARSWQO7q/2+kqZTN3OJ3xbugIEFvvz4d17zx0QkbilpihOzFsP9H8PBw77a2zsbtQhrW8pM95X0AN7dFG4sIiIJJdLL1L0T5GaGG0uyOb+vf3xvqybdisQ5JU1xZHewqG1eFmToT6bNTe0D6eYr5y7U3CYRkebR0Lz2M6ybXyy4ps4nTiISt/TTPI7sCUY/dO0YbhzJKj8LxhT6/T980vS5IiISOFIEQklTm0uzo71Nb2/2w01EJC4paYoje4Kepi6dwo0jmZ0VtE0vrobNleHGIiKSEI70NKlCUbsY1xO6ZMG+Q/D4irCjEZETUNIURyLD89TT1H565cGgLlDn4Pcfhx2NiEgCKNXwvHaVngbnBnf0/mc+1NaFG4+INEpJUxyJFCdST1P7Or+ff3xsCezcH24sIiJxLzI8r7+SpnYzpRjyMmHjPnh0edjRiEgjlDTFkT3qaYqJgV18CfKaOpixIOxoRETi2AOLjw7P+2j70XLZ0rYy0+HCEr9/z0dQrblNIvFGSVOcqKuHvTV+Xz1N7csMbp3k92cugoqacOMREYlbFTV+PHO6QUFW2NEktzOKoTgHtlbBQ0vDjkZEGlDSFCcqa6A+aJfy1S61uwsHwGndYF8tPLgw7GhEROJUeaRCUUdf6U3aT4d0+N5Ev/+r+aqkJxJnlDTFich8ps5ql2IizeBbQW/T/fNhb3W48YiIxKXy4B/Hbho3HhPXjoC+ebDjAPxO48dF4omSpjhxZD6ThubFzGVDYXh3qKyF//0o7GhEROJQpKxrNzVOMZGZDnee4fd/NR/KVK1IJF4oaYoTRyrn6WZezKQZfH+q3/+/BVBWFW48IiJxp1yrrsfcVUP92k37D8G/zQs7GhEJtCppMrNbzazUzKrNbJ6ZTW7i3DfNzDWyvRh1zgONvP5Ka2JLVOppCscFA2BCsa+k998fhB2NiEicKVdPU8ylGfz8bL//yDJYsivceEQEaEXSZGZXA/cAdwHjgYXAbDPreYK3fAEojtpGAXXAkw3Oe6XBeV9paWyJbLeSplCYwQ8/5fcfWwqrd4cbj4hIXNmtOU2hmFIMlw8GB/z4bXAu7IhEUl5reppuA+53zs1wzi0DbgEOADc2drJzbrdzbntkAz4dnN8waaqJPs85t6cVsSWsPRqeF5opveFvBsDhevjJG2qbREQAqKqFqkN+X3f0Yu8nZ0LHdHh3Czy+IuxoRFJei5ImM8sEJgBzIsecc/XB86nNvMxNwGPOuYazG88zsx1mttLM7jOzbk3EkWVm+ZENyGvJ94g31Yd96WvQGk1h+em5kJUO722GF1aFHY2IJKJka5soDRa1zc6AThnhxpKKSvLh+8Hsh5++C7sOhhuPSIpraU9TdyAdKGtwvAwoOtmbg7lPo4A/NHjpFWA6cCHwQ+Bc4GUzSz/Bpe4EKqK2zc2MPy5tCtqlrHTfNkn7m7X42O2djXB2sBj7z9/2N1hFRFooqdomNlT4R81nCs83xsLIbn6Y5E/fCTsakZQW65/oNwGLnXPHTLl3zj0W9XSxmS0C1gLnAa81cp278fOqIvJI4MZpY9Aude3k59hIOM4p8XOaNlTAf7wHd50XdkQikmCSqm1iQ3BHT/OZYmfmkuOPXdgPlpXDEyuhIAuGdT362vRRsYtNJMW1tKdpF76IQ2GD44XA9qbeaGY5wDXAH0/2Ic65dcFnDT7B6zXOucrIBuxrRuxxK9LTpPlM4eqQDj8/3+8/sBDe3hBuPCKSWJKtbToyPE89TeHqlw9n9fb7j63QUAiRkLQoaXLO1QLz8cPoADCztOD53JO8/UtAFvDwyT7HzPoA3YBtLYkvUW0Kepo0nyl85/aDr472+7f/BfZWhxuPiEhoIsPztEZT+D4zEHpm+wnQT61SxSKRELSmet49wM1mdr2ZDQfuA3KAGQBmNtPM7m7kfTcBzzrnyqMPmlmumf2HmZ1hZv3N7ELgOWANMLsV8SWcSE+T2qX48I9nw8DOfiH2O19T2yQiKSoyPK+77uiFLjMdrh0O6QaLd8EHTQ7uEZF20OKkyTn3OHAH8DNgATAWuMQ5FykOUYJfZ+kIMzsNOIvGh+bVAWOA54FVwTnzgbOdczUtjS8RqacpvmR3gF9fAhlp8NIa+L8FYUckIhJjdfVRd/TUOMWFPnlwyQC//+xq2FYVbjwiKaY1PU045+51zvVzzmU556Y45+ZFvXaec+6GBuevdM6Zc+4vjVzroHPuYudcT+dcpnOuv3Pu61FJWFJzTu1SPBpTCHcGi97+89vwV81vEpFUsn0/1NZDmkHnrLCjkYjz+sLQLv7P5oGlUJkS95ZF4kKrkiZpOxU1UWs0aXheXLlpHHxpONQ7+NZLsDalllsWkZRWGjVuPE1lXeNGmvlhel2y/LpN35rjGykRaXdKmkIWGZqXm+mHLEv8MIN/uQAmFENlLVz3DGyuDDsqEZEYUBGI+JWbCdNH+vlNL6+H//zg5O8RkVOmpVRDtlHlxuPKrMXHH7t4EOw5COv2wleehieuguK82McmIhIzG1RuPK6V5MNVQ/3aTf/xIQzoDF86LeyoRJKaeppCtilqYVuJT3mZ8OhVUFLgFyKe9rR6nEQkyWlh2/g3pRi+Pd7vf/c1mLs13HhEkpySppCp3HhiKMqFR78AvfN8j9OVT8DSnWFHJSLSTiLD89TTFN9+PBUuG+QLQ0x/EZaXn/w9ItIqSppCFkmaVG48vs1aDG9t8AvfFubAjv1wxePw2vqwIxMRaQcbdEcvIaQZ/OZvYGIh7K2BLz0HpRVhRyWSlJQ0hWyT5tomlM4d4ZYJMKgL1NbBjc/Dv78Lh+vDjkxEpI1U1cLOg35fPU3xL7sDzPocDO8KZQfgi8/Bdq3hJNLWlDSFqN7B5n1+Xz1NiaNjBtxwOpzR2z//7Udw9VNQujfcuERE2sSRCkVZ0En1ohJCl47wxOXQP9/3El7+jBa/FWlj+tcwRGVVvrci3aBAawcmlIw0uPw0mH46/GAOfLQNLnoYbpsKXxvnXxcRSUiRoXn9CsKNQ05u5pJjn08bDvctgHUVcMHj8I3T/RCJiOmjYhufSBLRT7sQReYz9cqDdP1JJKTPDoGXp8Gn+kJNHdz9DnxmFrxZCk7rDYpIIjqSNOWHG4e0XLdO8M2xfsz/roPwmwWw80DYUYkkBfU0hSgynKtEN/MSVmRdp88OhqIceGkNrCyH65+Ds/rCP5wNI3scf35jpo1u31hFRJplfTDZtkRJU0LqGiRO9y2A8mq49xP42mjoqz9PkVOh/o0QRZKmAZ3DjUNOnRlM7AV3TPXJUmY6vLMJPjsLbn8Vtu0LO0IRkWZaFzROg9Q4JawuHf0aTn1yoeoQ/HYBLNkVdlQiCU1JU4jWK2lKOtkd/JC9166Dzw8FBzy1HM6bCffM9XPYRETi2lolTUkhLxO+MRaGdvHrOM1YAv82D+pU7lWkNZQ0hUg9TcmrpAD+51J47mqY1AuqD8OvP4BfzoX523zlRBGRuHPw8NGyroO7hBuLnLqOGX5o3tlBuddffgjXvABbVVlPpKWUNIXEuaieJrVLSWtsETz5RfjtZ/xw8spa3/P0m49UolxE4lBphe8iL8iCblpAMCmkp8EVQ2DaMF9C/s1NcNYseHiZKhaJtICSppCU7fc39NJNczOTnZkfsjfnOrhkEGSlw9Z98PuP4flVUHM47AhFRALRQ/PMwo1F2taEIpjzZZhQCPtq4Xuvw0VPwusblDyJNIOq54Uk0svUNx86pIcbi7S9E1XJO7cfTCiG2Wv92k5zN8OKXfDlEbGNT0SkUZrPlNyGdoUXr4LfLYR//wAW7ICrX4BJRXDDKPjc4GMXNG64DlSE1nuSFKSeppCs3+Mf+6tdSjm5mXDVcLhxLHTOgj3VcP8ncO8HmuskIiFT0pT80tPgm+Pgo+vgltP98IcPt8Otc2DMDLjtdXhrExxWwQiRaK1KmszsVjMrNbNqM5tnZpObOPcGM3MNtuoG55iZ/czMtpnZQTObY2ZDWhNbotB8JhnSFb47BcYW+mTpP+bCdc/Ajv1hRyYiKWtNcEdPSVPy65ENPz/bJ08/mgJ982BvDTy0DK56zidQf1rlE2nd0RNpedJkZlcD9wB3AeOBhcBsM+vZxNsqgeKorV+D138AfAe4BZgC7A+umbSzUFU5TwCyMvzQvKuC+bnvbILPzIK3N4QdmYikJK3RlHqKcuH2SfDhdfCny+G6EdC1I+w8CO9t9Ws8/XwuPLMaNlSEHa1IaFrT03QbcL9zboZzbhk+0TkA3NjEe5xzbnvUVhZ5wcwM+C7wz86555xzi4DpQC/gisYuZmZZZpYf2YC8VnyPUK1T0iSByMK4L3wFTusGOw/Adc/Cv70Dh7Suk0jCSPi2aU81lAcDQQYUhBuLxF56GpzTF+65AJb8LTz+OZhc5O/oVdbCO1vgvz+B//kYXlmv3idJOS1KmswsE5gAzIkcc87VB8+nNvHWXDPbYGabzOw5MxsZ9doAoKjBNSuAeU1c806gImrb3JLvEba6etgY3KzR8DyJGNIVnr8Grh3lK/7eNx+uelKlyUUSSEK3TUfu5hXn+MmXkro6pMMF/eDqYfBPZ/q1niYU+pK/pZVw3Ytw0RPw7pawIxWJmZZWz+sOpANlDY6XAcNO8J6V+F6oRUABcAfwnpmNdM5txidMkWs0vGYRjbsbP0QwIo8Eapy2VkFtHWSmQ6/csKOReNIxA/71Qji7H/xwDiws88P1fn4+fGGYKgCLxLmEbptUBCIFnKgaXlMy0mB4N79dNhDe2uyH7S3cCVc8A6O7w+WDoUswo0KV9SRJtXvJcefcXGBu5LmZvQcsB/4O+H+tvGYNUBN1zVOMMrZKg3m2JQW+N1wEji9TfssEeGKZLxpy26vw1w3w8/OgIGln+okktkRvm44kTYM1BEJOID8LLhsE5/aF2aXw/lZYvAtW7oaLB8DZvcOOUKTdtPQn+y6gDihscLwQ2N6cCzjnDgGfAIODQ5H3tfqaiSYyAmKgbuZJEzp3hK+Ng9un+hERz62E82bCE0s1lFxE2sEa9TRJM+VlwheHwu0T/fy32np4YS38aj58lJQ/3URaljQ552qB+cCFkWNmlhY8n3ui90Uzs3RgNLAtOLQenxxFXzMfX0WvWddMNJE5KlqjSU4mzaB7J7h5PPTMgd0H4ftz4OwH4I1SLeIuIm1ore7oSQsV58I3x8KXT4PsDNi6Hz7zFHz/TaioOenbRRJJawaH3QPcbGbXm9lw4D4gB5gBYGYzzezuyMlm9hMzu8jMBprZeOBhfMnxP4Avqwf8CvixmX3ezEYDM4GtwLOn8N3iVmSNpoEaASHN1K8AvjMJLh3s58JtroQbnoPLH4enlsGBQ2FHKCIJrd4dbZzU0yQtkWYwpRh+OBkmFvpKRg8sgamPwNOrdHdPkkaL5zQ55x43sx7Az/CFGhYAl0SVES8BopeR7gLcH5y7B99TdWZQrjziF/jE6/dAZ+Cd4JrHLIKbLNYGc5rU0yQtkZ4G55TAuEJ4eyN8uM0Xirj9L/CTN+GiQf71nfshL+v4908bHfOQRSRRbK2CA4f9pP+SxKqULnEiNxO+Mhx+PBXueNMP9/y7V2HGEvjRZPhUn7AjFDkl5pLgDkAwnK+ioqKC/Pz8sMNp0oFDMOK3/kbMxzdDt2x/vGERAJGTuWgQzFoCf1oGpQ3WGyzIgsJcXzm4KNdvt07yi+mKtLXKykoKCgoACpxzlWHHEy8SqW3iL6Uw7c8wvCu8Ne3o8dZUW5PUNn0U1NTBvR/Df33k9wHO7AVfGwOXDPAlzUXaUXu0S/oJFWNrdvuEqUf20YRJpDW6Z8N3JsO3J8FH2+D19fDWRliyww8lr6iBVeVHz7/3Q9+7Oaw7jCmEsYUwtsiXOReRFLc8+MdiWLdw45DEF0m0e3TyQ/Ze2wDvb/Nlyt/b6o9fPgQ+3Q/O7K1GSBKG/k+NsZVBuzSka7hxSPIwg0m9/PbDT8H/fQLbq6BsP2yrgrIq/1hT54eGrt0DL6727+2QBmeVwIUD4LIh0KVTuN9FREKyYrd/HK6kSdpQQRZ8YSicXwJVh2DWcthxAP6wyG8d02FkdxjTE07vAWN6wLCu6omSuKSkKcYiSdNp3cONQ5JXxwzfoxQ9Z845qKw9mkBtroQNFbCv1lfhe6MUfvqm74Wa3Msn9deOCekLiEjsLQsaJyVN0h66dIS/nwg/mAyvb4TZ6+EvG2D7fphf5reIrHQY0Q1O7+mTqDE9/P+XmUEidaIho1pUV9qZkqYYiwyXOk3tksSQmb/hV5AFQ4P/95zz7dWqclhU5ueBL93pt8IcyMyAK4f5eeEiksQO18Nq9TRJO4tOdsYGPUu7DvoS9wt3wsIdsGinv8P3yQ6/RWSYP++0rjCym5/jIBJjSppiLJI0DVW7JCEz80tsFOfCuf38kL4Pt/r5UWX74Y6/wH0fwQ/OhIsH+fNFJAmt2+sXJ83uAH1VOU9ixMwnP/tqYWCB3y4f7Bck3FQFm/f5bUsVHDwMq/b47YW10CcXxhfCxCLI6RD2N5EUoaQphipq/NAo0JwmOXVtXXGxKBc+NxT+ZgB8sNUXlVi7B/7uReibD5cOggFdVLpcJOksj/QydfVr7oiEJc18laPu2TCupz/mHJQdgJW7/dy7NXtgc5XfXloPEwrhHJUzl/anpCmGIr1MvXIhv5F1dETiQacOvudpSm+fOL2zETZVwu8/8cNKz+yrNcZEkspyzWeSOGYGRTl+O7cvVNX64XzztvleqHnb4INtfl2oH0yGwV3CjliSlGYrxNBqDc2TBNIxAy4aCHdM9QlUmvlCJhc9DP/9AdQcDjtCEWkTK1RuXBJIbiZ8qjd8bwJ8axyM7u7XcnlmNXxqFvzgTdhTHXaUkoSUNMWQKudJIsrPgitOg+9O8Tfwaurgl3Ph0lkwd3PY0YnIKYtUzhuhpEkSiBkMKIAbRsFtE/yiufUOZiyBMx6Gh5f5oX0ibURJUwytVOU8SWA9suHGsfDfl/j9tXvgmj/Bba9ChW7qiSSmA4egtMLvD9NkW0lQvfPgoc/Cs1f4/493V8P3XoerX/ClYUXagOY0xdCRynlqlyRBmcHlp8F5/eEX78Iji+FPy+HdTfDLT/uFckUkgaza7Yc25XaAl9eFHY1I60VKmt84Ct7aDK+shzc2wtmz4L8ugM8PDjc+SXjqaYqRXQeg/CAYMFhJkySwWYvhxVUwsgfcMsEXOdpeBdc+A3f9Fao110kkcUQq5xXlhBuHSFtJT4PzS+C2ib6EfmUt3PQK/OQdOFQXdnSSwNTTFCORXqZ+Bb46mUgyKCmAb0+Cl9bAvC3wfwvgz6vh6hHQK2q5F5UpF4lTkcp5xUqaJMkU5sC3x/my5G9ugvsWwOz1cN0IP1l3+qiwI5QEo6QpRhYHC1vnZLb9+joiYcpM94UihnWDP62AHfvhtx/BZ4bA1N5aFFckri0IGqdeueHGIdIe0tPgc4OgXz48tgLWVcA982H6iLAjkwSk4XkxsrDMP/bNDzcOkfYyrDv8/WQY0R3qHLywCh5fBrUaDSESnw7Xw8IgaeqnxkmS2Jge8N0JUJQN+2p9r9MfFqm6nrSIkqYYWbDdPyppkmSWmwlfHQ2fHezXdVpY5nud1u0JOzIROc7ycjhwGPIzfUlMkWTWMxu+Mx7G9YR64M634Ptvap6TNJuSphjYsR+27PNFIHrnnfR0kYRm5qvofW0c5GVC2X743GPw8pqwIxORY3wcDIEYV+jvcogku6wMuHY4XDbQ/yh7cCl86XnYfTDsyCQBKGmKgcjQvKHd/N9XkVQwoLMvEjGgM1TVwi0vwr++40cEiUgcmB80TuMLw41DJJbMfHW9hz/rS+2/uwUufhJWlIcdmcS5ViVNZnarmZWaWbWZzTOzyU2ce7OZvW1me4JtTsPzzewBM3MNtldaE1s8+iQYmne62iVJMXlZcNNYuHm8f/67+XDdM1B+INy4RASYHzROE9Q4SQq6aAC8/EU/n6+0Ei59Cl5dH3ZUEsdanDSZ2dXAPcBdwHhgITDbzHqe4C3nAY8C5wNTgU3Aq2bWu8F5rwDFUdtXWhpbvFoYtEvjisKNQyQM6Wnw47PhN5dCdgd4bzNc9ujRvxciEoLKGlgdTDZUT5OkqmHdYPaX4MxeUHUIvvoi3PuxCkRIo1rT03QbcL9zboZzbhlwC3AAuLGxk51z1zrnfuucW+CcWwF8LfjcCxucWuOc2x61nXDquJllmVl+ZAPidqZQvTs6PO90JU2SomYt9r/Rvj4OunWCrVVw5RPw6JKwIxNpO4nUNvHJDnD4u+wqAiGpaOYSv724Fi4fDGcU+78Td70H35oDB7VSuxyrRUmTmWUCE4A5kWPOufrg+dRmXiYb6ADsbnD8PDPbYWYrzew+M+vWxDXuBCqits3N/OyYW7vHV7fsmAGnNfWNRFJAYS58a9LRsuQ/es1vNWqbJDkkTNuk+UwiUTLS4ItD4crB/pfxEyvhM09BaUXYkUkcaWlPU3cgHShrcLwMaG4/yr8DW4lKvPBD86bje59+CJwLvGxm6Se4xt1AQdTWp5mfHXORIUije/q/kyKprmMGXDsaLgqKFz26BL70FGzdF3ZkIqcsYdomPg4aJyVNIp4ZnNUHbj4dunWEJbvgwsfhFc1zEi+mP+PN7EfANcCVzrnqyHHn3GPOueedc4udc88ClwGT8POhjuOcq3HOVUY2IG5/bkWKQIzV0DyRI9IMzu8PD14BnTv6IayXzoIXV4cdmUjrJUzb5NzRniYVgRA51tAu8Po1MKkIKmvhuhfhn+eq9Ku0OGnaBdQBDf+VLQSanNZtZncAPwIucs4taupc59y64LMGtzC+uLMgaJfGql0SOc6WSrh5nF+/bG81fPMluPwxqKgJOzKRJLa+AnYdhA5pMLpH2NGIxJ85pX643tlBzbJfz4ezZ8H2qlDDknC1KGlyztUC84kq4mBmkaIOc0/0PjP7AfD/gEuccx+d7HPMrA/QDdjWkvjiTfkBWLrD70/qFW4sIvGqaye4ZQKc388P11tQBpc8DO9uCjsykST1xkb/OKnIj5cVkeNlpMEVQ+CrIyAzDdbshXMf03C9FNaa4Xn3ADeb2fVmNhy4D8gBZgCY2Uwzuztyspn9EPg5vrpeqZkVBVtu8Hqumf2HmZ1hZv3N7ELgOWANMPuUvl3I3t7oC7EM7+4nwItI4zLS4KJB8HcTfBK1tQqmPQ0/fdNX3RORNvTaBv94Yb9w4xBJBON6wncnQK9c2F3th+v94K+qrpeCWpw0OeceB+4AfgYsAMbie5AixSFK8OssRXwDyASewvccRbY7gtfrgDHA88Aq4I/43qyznXMJ/XPpzaBdOk/tkkiz9CuA70yCaaP88wcWwvkPwhNLffl+ETlF1YfhnS1+/wI1TiLNUpgDfz8ezg1qu8xYDJNmwr+978uWS0poVb+8c+5e4N4TvHZeg+f9T3Ktg8DFrYkjntU7eCtIms7tH2ooIgklKwPuvhAuHex7mtbthe/PgVlL4K5ztd6ZyCl5f6u/Q16UAyO1DoZIs2WkwecHw2ld4dHlUHbAz3W6bBBcN9JX35OkpiLY7WTJDig/CLmZMKH45OeLyLHO6Qezvwr/cBbkdPCVKD//ONz+KmzU0hkirRMZmndBiX7kibTGaV3h9kkwvCscdvDsGpj2Z9h5IOzIpJ0paWonkaF5n+oLmSdabUpEmpSZ7uc5vXE9XDXcH3tqOZz7IHzxSfjNBzBrcbgxiiSU14IiEJrPJNJ6eZlw02i/GG6GwZwNvrres1o3I5mpbE47+Wupf9R8JpGWaywRmlgMPbNhznpYvRs+3Aofb/M9uef2g975sY9TJKFsrITVeyDd4Ny+YUcjktgii+EO6gwvr4el5XDzbHh+Dfz7udAjO+wIpY2pp6kdVFQfXWz9XCVNIm2mpABuHAt/Nx4GdYE6Bx9shXMehO/NhmU7w45QJI69HvQyTSyCgqxwYxFJFsW5MH0kfLqfX7n9hbUwcSZ873W/kLQkDfU0tYM3N/hCEEO66u63SHvo3xm+Ng7W74U563yxiKdX+G1wFz8fanAXuHZM2JGKxJE/r/WPGpon0rYy0uCSATCqOzy2Arbth4eX+cnt/3I29NWPwWSgpKkdPL7UP14yONw4RJLdgM5w83jYVAnvbITFO2DNHr8V5fh10q4Y5guyiKS00gr46ya/gvQXhoYdjUhy6pPn13R6bQPM2eiH7b25Cb43Eb4xVotJJzgNz2tjpXvh3aBdumZk2NGIpIa++fCVUXDHVDizjy8gsX0//OMbMOWP8I+vw4pdYUcpEqKHl/nH80qgn+56i7SbjDS4eADcPhHO7OVL/P/r+zD1EXhihRYdTGBKmtrYrGCNs/P6Qx+1SyIx1bUTfG4o/OhM+OwQGNgZqmrh4cVw8SNw1RO+yERFQi+bLdJCh+pg1nK/P11380RioigHnr0S7vs09MqFzfvg1jlwzqPw+Ar/91ISipKmNlRzGJ4MbuZdOzrcWERSWacOcFZfeH06PHKlXyg33eCjbXDn6zDpfvjmS34+lNotSXqvrPdryPTMhov7hx2NSOp4aCkcOATfGQefHQgd02HlbvjWHJj8MNzzEWyvCjtKaSYNrmxDs9fC7oNQlAvn9w87GhExg7NK/FZWBc+shKeXw8pyeHG137I7wIjuMLIHDO4K008PO2qRNjYzmGg7bTh00MKBIjHXId0vKD21F7y3BT7c7nue7n4ffjHPLwFw2SBfTEKlyuOWkqY24hw8tMjvXzPSD2kVkfhRmAu3TPDlyn85Fz7ZDgvK/PC9j7b5LSvdr/908SA4uwQKOoYdtcgpWlHuJ6IDfFVD80RC1SnDV6/834v9ek4PLYV52/xyAK9vhNvegBHdYEovn2BNtk+CbAAAFpBJREFULfZ34iUuKGlqIy+v8evFZKbD1WqXROJCY4vkAvTK89slg3xRsaU7YekOqKyF51f5Lc3g9EK/1to5/fy+boZIQnEOfvSW3//sQBWAEIkXnTLg6mF+W7vHr+304jpYsAOWlfttRtCA9c+Hrh3939+SfD8/KtIYTR8V3ndIQUqa2kBVLdwVtEu3TPA/xkQk/qWn+UVyB3WBy4bA5kqfQK3YBTsO+N6oT7bDr+ZBfiZM7AWTe/ttdE9/k0Qkbj2zGt7d4udR/OyssKMRkYiZS4593rUjXDcCZl0G72+F97fB3K2wdBeUVvrt4x3+3AyD3nk+icrLgklFvtS5tDslTW3g1/P8PL6++XDrpLCjEZHWSDMoKfDbpYNhbzWs3g2ryv26T5W18Hqp38AvtzGuCKb0hkm9/H6O1oOSeLGvFn7yjt//7kR/h1pE4tvL6/zjaV38dvAwbKiADftgY6XfDhyGDZV+e2uzP///t3fnUXaUZR7Hv0/2penOSgckIRACJIAEg0BkGRZZVMaFGZWDOoIeEQZnBhdkmJEDgwwBRAZnQISjEJkBwRkRDiBEg+ICGNliiOyBICGdfWk6O8kzfzzvpSvl7dt77tK/zzl1um/VW3Wfevveevqteuut3evg8N1iOmy36OLXX10jepoaTd00fxn84Jn4/bJj9dwykVoxYkg0ht67O2zbDk0t8Ry219ZGl74NW+HxxTFBPJutcXicPNmjHr44HSaPVpc+KQN3uPh3sGwDTGyA8w4pd0Qi0hVDB8D+o2OC+G6v3BiNp0JD6s0WWNISV5Z/+nKUG9IfZryrtSF1SCMMH1i+/agR+he/G55bAZ+5B7Z53Dh+/F7ljkhEekP/ftEQ2qM+RuLb7jGC8zuNqLXx7Kel62N6oilG6hs2MLrxHdwIU8fGKH17j9QAZtKL3OHSR+H256Ilf9UxOpsnUivMYnS9scNg+riYt3kbvNEMr62LaVEzbNoGv/pzTBBn76aOjumAMfFzymiN1NdJOpJ20Qsr4Yy7owvPtEa45sRyRyQiO0s/i6tKjcOjex5Eo2lxc+Suxc2wbH3c7zj3zZgKBvWHyaOiATVlLEwZEw2qERqpT7rLHa6cC9+dF6+/fRwcv2d5YxKR3jW4P+wzMiaIs3pNLbDr8BiZb25TXImavyKmrLFDY7190/qT07THLpHoZAddajSZ2XnABcA44I/AP7j7H0qU/zjwTWAi8DJwobv/LLPcgH8DvgCMAB4FznX3l7sSX2/a9Dbc9BTc+GR0NX33rnDbx6B+cLkjE5FyahgMDWPjeU8Qo2guXAPzlsL85fD8ihj9uWVLGq1vBfB86/q71UUDat/RaRoVz40aqh4V0hHPrYQLfxM3kQNccTR8RkO5ivQ5/dJAEQBHvSum1ZvgzbdgyfpoUDWth1UbYUWaHl+y4zYG9ourULsOg5Mmtjam9h4RXQb7qE7vuZl9ErgWOAeYC5wPzDaz/dx9eZHy7wN+BFwE3A+cAdxjZu9x98LwIV8H/hH4LPAa0cCabWZT3X1T53erZ7nDghXwi4Xwk+fjeWQAR+wBN38o/lkSEcm660+tv08dE9N2j6vTTS3Q9Fb62QJrNrX+XhhoAqJ31fiGuDK176jo2rf7LtFNcLc6GNx3c5dAtMDnvA73L4xpm8OwAXDpkXDWQeWOTkQqxaghMR00tnXe5m0xTOzyDbB8fevvKzbC1u1xdWpJSwyDXmDEoDKTM1el9hkJ43eJBlaNDylr7t65FczmAk+4+5fS637AG8B/ufuVRcrfBQx391Mz834PzHP3c9JVpiXAt939mrS8AVgGnOnud3Ygpnpg3bp166iv7/wIQc8ugxdXQctWWL8F1qef6zbHvQoL10Dz5tbyu9XBvxwFf71vdC/tjLaeGyMifdemt6PBtLQluvUtT9P6raXXGzssemA0DI4H8dYPjt/rBkUX9gH94oThwP6tvw/oV7zXxaihcb9WVzQ3N9PQ0ADQ4O7NXdtK7elubuLnr8VgDuu3xmh4LVvi5/IN8NKaGD1reyaHnzoJvnlU14Yfzg+BLCJ907btcWWq0IiqHwwvr4ljzrrNpdcdNQQah0Xf9UIyGj4Q6gbGz8EDoL9FIupvaeoXw6j3a2PUpP1Hxf1XndQbealT5ynNbBAwHZhZmOfu281sDjCjjdVmEFemsmYDH02/70V085uT2ea61DibAfxFo8nMBgPZ6zu7QFRQV9z+JNzeTr4Y0h+OnADHT4xBH4YOhLfe6vx7bWjpUogiUuMaB0DjCKKDcrJ+S9zvtHANvLI67pdqaoElb8VJwmWbYNnqnnn/gxvhjtO6tm5Xj721pqdzE9+YAwvXli6zZwOcshd8cK/oL45DV95vo5KTiCR1QN0Q2DvdbDt1OPi74urCyo0xEtKooXF8enVtjIC0dXssW7kG/lRy653zT9PjsQmd1Bt5qbOdO8YA/YmrQFnLgP3bWGdcG+XHZZbTTpm8i4BL8jPHjx/fRvGe8Qrww159BxGR8lgMNJzV7c3sAvTlFtTOz02rgWfInMoUEakhl1DkqNopPZaXqrVH/Ez+8urVKCJ9QFTQYmAPoAvXg8pO8ZdXNcdfzbGD4i+n7sa+C9HVui+r5dxUzbFDdcdfzbFDdcdfzbFDdcffE7H3aF7qbKNpJbANaMzNbwSWtrHO0nbKL83Ma8qVmVdsg+6+Gch3rHynFWmtNxq9VY396xV/eVVz/NUcOyj+cuqB2Ktqf3tDLeemao4dqjv+ao4dqjv+ao4dqjv+Hoq9R/e5U8+qd/ctwFPACYV5aSCIE4DH21jt8Wz55MRM+deIhlN2m/XA4SW2KSIiIiIislN0pXvetcAPzexJ4A/EkOPDgVsBzOw24E13vyiV/w7wazP7KvAAcDpwKHA2gLu7mV0HfMPMXqZ1yPElwD1d3TEREREREZGe0OlGk7vfZWZjgcuIgRrmAae4e2EghwnA9kz5x8zsDOBy4Ari4bYfzTyjCeBqouF1MzF21O/SNrv6jKbNxMNy2xkbsWIp/vKq5virOXZQ/OVUzbFXi2qu42qOHao7/mqOHao7/mqOHao7/oqLvdPPaRIREREREelLOnVPk4iIiIiISF+jRpOIiIiIiEgJajSJiIiIiIiUoEaTiIiIiIhIKe5ecxNwHrAI2ATMBQ7r5fe7CHiCeGLxcmKo9P1yZR4BPDd9L1dmAjEs+4a0nW8BA3JljgWeJkYTeQU4s7v7D1xaJLYXMsuHADcAq4AW4CdAYyXEntZZVCR+B26oxLoHjgHuI4bVd2I0yexyI0anbAI2AnOAybkyo4DbiQe3rQV+ANTlyrwb+G2K5Q3g60Vi+TjwQirzLPDBdmJ5EvhlsdiBgcBVaTvrU5nbgN078Pf6550Q+xzgjHbqflaR2B6qkLrvSPzFvgcOXFAh9T85v52+MqG81GfyUhvfMeUk5STlpCrPSb12wC7XBHySOICcBUwlhjFfA+zai+/5EHAmcABwMHGgex0YninzSIplXGaqzyzvn/7IvwCmAR8AVgBXZMrsRXzxvw1MAb4EvA2c3J39J5LTglxsYzLLbwT+DBwPTCceOvxoJcSe1hubi/396Ut3bCXWfdr+5cDHKH6QuZA48H2EOFDcC7wKDMmUeZAY7v9w4ChiKP87MsvriYdG/w/xuTydSL5nZ8q8L+3DBWmfvglsAQ4sEcvjaZ8+kY8daEh1+AlgP+AIIkk/mdu/RcDFub/H8J0Q+73EwXJmibqfleo2G9vIXJly1X1H4h+Xm84iHgGxd4XU/w6f474yobzUp/ISyknKScpJhXVqKieVPZn09JS+ENdnXvcD3iTXau3lGMamD88xmXmPANeVWOcDwDYyZ8qAc4B1wKD0+ipgQW69O8mcdejK/hPJaV4byxrSB+9vM/P2T/t3RLljbyPm64izboUh9Su57vMHeSMOQl/L/Q02Aaen11PSeodmypxCHIh2T6/PBVYX4k/zrmTHM7V3Affn4vk96Yxne7HkY29j/96byk3IzFsEnF9inV6PvVjdp3mzgHtKxFYRdd9W/EXivQd4ODevIuq/L00oL/XpvIRyEignKSd59eekmrqnycwGEWec5hTmufv29HrGTgylIf1cnZv/KTNbaWYLzGymmQ3LLJsBPOutDwkGmE20sA/IlJnDjman+d3d/8lmtsTMXjWz281sQpo/nbjEnd3mC8QZvsI2yx37O9J2Pg3c4ulbkVRy3WftRZxlyW5nHZH8svW91t2fzKw3hzhIHp4p8xt335KLdz8zG9mRfepgLO1pIA6ka3Pz/9nMVpnZM2Z2gZllH7Rd7tiPNbPlZvaimd1oZqNzsVVF3ZtZI/AhoqtGXiXXf01RXurbeUk5qbKOiygnlSN+oDZy0oD2i1SVMcRl7WW5+cuIs1C9zsz6EWeVHnX3BZlFdxBdI5YQlwWvIi4Xn5aWj6N43IVlpcrUm9lQYCRd2/+5RDeOF4HdgEuA35rZgek9t7h7/gCzrANx7YzY8z4KjCDOzhRUct3nFd6v2HaysSzPLnT3t81sda7Ma0W2UVi2hrb3KbuN9mJpk5kNIer6R+7enFn0n0Q//NXEJfWZxOfuKxUQ+0PA3en9JwFXAA+a2Qx330aV1H3yWeJ+lrtz8yu5/muR8lLfzkvKSa1llJOUk6o6J9Vao6kS3AAcSPQrfYe735x5+ayZNQEPm9kkd1+4MwPMc/cHMy/nm9lc4oD+CeJmuWryeeBBd19SmFHJdV+rzGwg8GPikvi52WXufm3m5Xwz2wLcZGYXufvmnRjmX3D3OzMvnzWz+cBC4obrh8sSVNd9Drjd3TdlZ1Zy/UuvUV4qH+WkCqCcVBGqPifVVPc8YCWpH3BufiNxE1mvMrPrgVOB49x9cTvF56af+6SfSyked2FZqTLN7r6RHtr/dPbupRTbUmCQmY0osc2KiN3M9iRuuP1+O0Urtu4zZUttZymwa3ZhupQ9qgPx0oEyS3PlOrVPmeS0J3Bi7oxeMXOJEzgTyx17nru/Svxts5+Viq37TExHE2eu2/suQAXXf41QXuqjeUk5qTKOi8pJ5Y+/VnJSTTWaUn/Hp4ATCvNSt4QTiBFWeoWF64nRQ4539/xlxGKmpZ9N6efjwEFmlv3wn0gMIflcpswJ7OjENL/H9t/M6ojLwE1pe1tz29yPGA61sM1Kif0s4jL1A+2Uq9i6Jy5BL81tp57om5yt7xFmNj2z3vHE93lupswxKVlk433R3dd0ZJ86GMsOMslpMvB+d1/Vzv5C/D2209rFoCyxt7E/ewCj2fGzUpF1n/N54Cl3/2MHylZs/dcC5aU+nZeUk5STlJNCbeSkjo4YUS0TMcTmJqLv5BTgJqK/Y2Mvvud3iZsK/4odh0wcmpZPIoZTnE60nD9MXF79dWYbhSFGZxPDw56cPjDFhhi9muiT/PcUH2K0U/sPXJNin0j0J/0FMbzp2LT8RqJbxHFpHx4DHquE2DPr9ksxXpmbX3F1D9QRB4VpxA2pX06/T0jLL0zrfRg4iBhtptjwrk8DhwFHEmdgs0OMNhAHiNuIG4c/meLPD9G5Ffhq2qdLKT5EZzaW+4DF6X13iJ24Mfte4hkKB7Pjd6Ew4tMM4Py0fG/gU6muf7gTYr+HOHAeVqzu09/lW8SwtBOJg+tTqW4HV0Ddl4w/s159er9zinxPyl3/fXnIceWlPpSXUE5STlJOqrmcVPZk0hsT8byC14nnE8wFDu/l9/M2pjPT8vHAr4mH8G0ixtC/msxzGVK5PYGfEePPryCSRrGH2T2T9m0hxR9m16n9J4YpXZLKL06vJ2WWDyH6xK9OH9S7gXGVEHtmvZNSne+bm19xdZ+2U+zzMistLzyAbWmKeU6R/RpF3Ez8FjEM7S2UfpjdYuDCIrF8nLjRejPxTJS2HgZXiOWptmInDuptfReOTdt7DzEM6FrivoTniIdwDt4Jsc8hRrFqK/6hxD8py4mD7SLiuSb5fzDKVfcl48+sdzbxOW4o8p7lrv9989vpKxPKS30qL6GcpJyknFRYr2ZyUuGZASIiIiIiIlJETd3TJCIiIiIi0tPUaBIRERERESlBjSYREREREZES1GgSEREREREpQY0mERERERGREtRoEhERERERKUGNJhERERERkRLUaBIRERERESlBjSaRKmZmi8zs/HLHISIitc/MJpqZm9m0cscisrOp0STSQWY2KyWL/LRPuWMTEREpJpO7vldk2Q1p2awyhCZSVdRoEumch4DdctNrZY1IRESktDeA081saGGGmQ0BzgD+XLaoRKqIGk0inbPZ3Zfmpm1m9hEze9rMNpnZq2Z2iZkNKKyUzuR90czuN7MNZva8mc0ws33M7BEzW29mj5nZpMw6k8zsXjNbZmYtZvaEmb2/VHBmNsLMvm9mK8ys2cx+aWYH92aFiIhIxXuaaDidlpl3GtFgeqYww8xOMbPfmdlaM1uVctYkSjCzA83swZSnlpnZf5vZmF7ZC5EyUqNJpJvM7GjgNuA7wFTgi8CZwL/mil6cyk0DXgDuAG4CZgKHAgZcnylfB/wMOAE4hLjKdZ+ZTSgRzv8CuwIfAKYTifJhMxvV5R0UEZFacAtwVub154Bbc2WGA9cSOekEYDvwUzMr+v+imY0Afkk0vA4FTgEagR/3aOQiFcDcvdwxiFSF1Of708CmzOwHgZHAw+4+M1P208DV7r57eu3A5e5+cXp9BPA48Hl3vyXNOx241d2H0gYzWwB8z92vT68XAde5+3VmdhTwALCru2/OrPNKiuXmblaBiIhUmZS7RgBfIK427ZcWvQCMB74PrHX3M4usOwZYARzk7gvMbCLRJf0Qd59nZt8Ajnb3kzPr7FF4H3d/qZd2S2SnG9B+ERHJ+BVwbub1emA+cKSZZa8s9QeGmNkwd9+Q5s3PLF+Wfj6bmzfEzOrdvdnM6oBLgQ8R904NAIYCbV1pOpi4OrXKzLLzhwIlu1eIiEhtc/cVZvYA0RPCgAfcfWU2X5jZZOAy4HBgDK09kiYAC4ps9mDgODNrKbJsEqBGk9QMNZpEOme9u7+SnZEaN5cAdxcpn70qtTXzu5eYV0hS1wAnAl8DXgE2Av8HDGojtjqgCTi2yLK1bawjIiJ9xy20dgM/r8jy+4DXiatSS4h8tIDSeec+4MIiy5q6FalIhVGjSaT7nia6IbzSbsnOORKY5e4/hXcaZxPbiWMc8La7L+rhWEREpPo9RDSAHJidXWBmo4mue19w99+meUe1s72ngb8BFrn72z0frkjl0EAQIt13GfB3acS8A8xsipmdbmaXd3O7LwOnmdm0NALeHZT+zs4h7pO6x8xOSg8hfJ+Z/buZHdrNWEREpMq5+zZgCjA1/Z61BlgFnJ1Gdj2eGBSilBuAUcCPzOy9adTXk83sVjPr3+M7IFJGajSJdJO7zwZOBU4CngB+D3yZ6OLQHV8hkthjRPeH2cRZvbbicOCDwG+IEZFeAu4E9qT1HioREenD3L3Z3ZuLzN8OnE6MvLoA+A/ggna2tYToFdEf+Dlxn+51RJfw7T0buUh5afQ8ERERERGREnSlSUREREREpAQ1mkREREREREpQo0lERERERKQENZpERERERERKUKNJRERERESkBDWaRERERERESlCjSUREREREpAQ1mkREREREREpQo0lERERERKQENZpERERERERKUKNJRERERESkhP8HUDdZLXoFX6sAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 1000x300 with 2 Axes>" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "g9n6vDY_D8F3", "colab_type": "text" }, "source": [ "This seem too look similar! Let's bring it down to the t-test." ] }, { "cell_type": "code", "metadata": { "id": "gqZkretWEBDV", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 35 }, "outputId": "d792413e-79ff-4b88-99ca-330612118626" }, "source": [ "ttest,pval = ttest_ind(x1_world2,x2_world2)\n", "print(\"p-value\",pval)" ], "execution_count": 63, "outputs": [ { "output_type": "stream", "text": [ "p-value [0.39670653]\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "sGg7v50lEE_U", "colab_type": "text" }, "source": [ "High p-value here indicates the two genders are not statisticall different. That is fair! And a good indicator of utopian." ] }, { "cell_type": "markdown", "metadata": { "id": "V0-NMLVcFeHt", "colab_type": "text" }, "source": [ "**Ethnicity**" ] }, { "cell_type": "markdown", "metadata": { "id": "eFPLqQonFlYB", "colab_type": "text" }, "source": [ "Frequency Table of Ethnicity in the Worlds" ] }, { "cell_type": "code", "metadata": { "id": "ga1REs1eFnI8", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 246 }, "outputId": "855e53c1-b22d-412e-af82-f1c58716d760" }, "source": [ "# Ethnicity\n", "print(\"World 1\")\n", "print(pd.crosstab(index=world1[\"ethnic\"], columns=\"count\"))\n", "print(\"\")\n", "print(\"World 2\")\n", "print(pd.crosstab(index=world2[\"ethnic\"], columns=\"count\"))" ], "execution_count": 64, "outputs": [ { "output_type": "stream", "text": [ "World 1\n", "col_0 count\n", "ethnic \n", "0 7980\n", "1 8003\n", "2 8017\n", "\n", "World 2\n", "col_0 count\n", "ethnic \n", "0 7971\n", "1 8035\n", "2 7994\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "-4aAEQS-Fv_m", "colab_type": "text" }, "source": [ "Ratio of ethnicities is comparable in both worlds.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "cLmbmu_nF3cW", "colab_type": "text" }, "source": [ "**World 1 - Ethnicity**" ] }, { "cell_type": "code", "metadata": { "id": "1sc6JMUSF6HG", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 339 }, "outputId": "b931404b-3437-4362-c14f-2fd12f2de99a" }, "source": [ "ethx0_world1 = world1.loc[world1.ethnic== 0 , ['income00']]\n", "ethx1_world1 = world1.loc[world1.ethnic== 1 , ['income00']]\n", "ethx2_world1 = world1.loc[world1.ethnic== 2 , ['income00']]\n", "\n", "# plot\n", "fig, axes = plt.subplots(1, 3, figsize=(10, 3), sharey=True, dpi=100)\n", "sns.distplot(ethx0_world1 , color=\"dodgerblue\", ax=axes[0], axlabel='Ethnicity 0')\n", "sns.distplot(ethx1_world1 , color=\"deeppink\", ax=axes[1], axlabel='Ethnicity 1')\n", "sns.distplot(ethx2_world1 , color=\"lightgreen\", ax=axes[2], axlabel='Ethnicity 2')" ], "execution_count": 65, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7fad97e775c0>" ] }, "metadata": { "tags": [] }, "execution_count": 65 }, { "output_type": "display_data", "data": { "image/png": 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

id age00 education marital gender ethnic industry income00 0 51.965 17 0 1 0 5 76110.0 1 41.807 12 1 0 0 1 43216.0 2 36.331 12 1 0 1 3 52118.0 3 56.758 9 1 1 2 2 47770.0 4 31.051 14 0 0 0 0 34197.0 5 38.566 16 1 0 1 3 47409.0 6 33.908 14 0 1 1 0 29312.0 7 30.427 16 1 0 0 0 28161.0 8 47.262 16 2 0 2 1 37783.0 9 46.042 16 1 0 1 1 34490.0 10 47.074 16 0 1 2 5 70042.0 11 41.847 18 1 0 1 1 34447.0 12 52.254 12 1 0 1 5 92834.0 13 38.679 16 1 1 2 1 45089.0 14 52.662 14 1 0 0 7 118033.0 15 36.542 11 2 0 2 5 77203.0 16 45.266 12 1 1 0 0 27667.0 17 37.33 16 0 1 2 7 129729.0 18 38.109 19 2 0 0 0 24791.0 19 36.564 14 0 1 0 4 54484.0 20 50.081 17 0 0 1 0 28722.0 21 56.908 13 3 1 0 6 116690.0 22 45.678 17 1 0 1 1 27086.0 23 42.226 16 0 1 1 5 72511.0 24 36.883 20 1 1 0 4 74495.0 25 33.349 11 1 0 0 1 28482.0 26 52.475 16 0 0 1 6 81115.0 27 48.411 12 1 0 2 6 69597.0 28 48.199 17 0 1 1 4 49839.0 29 59.2 17 1 0 2 5 65212.0 30 58.395 16 2 1 1 3 40759.0 31 45.061 16 1 0 1 3 45851.0 32 44.847 12 0 0 2 5 64317.0 33 48.881 9 1 1 0 0 27625.0 34 40.123 18 1 0 1 0 30986.0 35 33.745 18 2 0 2 6 85817.0 36 54.07 17 1 0 0 1 37700.0 37 51.855 18 0 1 0 7 134363.0 38 31.226 16 1 1 1 4 67915.0 39 38.472 20 0 1 1 4 63504.0 40 35.542 18 2 1 2 2 42694.0 41 48.444 17 1 0 2 1 30046.0 42 57.725 12 0 0 1 2 48540.0 43 54.937 16 1 0 0 3 52517.0 44 58.597 12 1 0 2 0 28203.0 45 35.992 16 0 0 1 2 43426.0 46 37.466 16 0 1 2 6 91656.0 47 35.208 20 0 1 2 2 50227.0 48 52.923 16 0 1 0 4 64567.0 49 47.62 16 1 0 0 1 42592.0 50 43.256 16 0 0 1 1 39730.0 51 33.697 12 0 1 0 1 42939.0 52 47.343 12 1 1 2 6 103086.0 53 48.137 17 0 1 2 7 98931.0 54 42.618 16 1 1 0 4 61128.0 55 30.005 17 3 1 0 4 63903.0 56 57.372 12 1 1 2 6 99229.0 57 47.005 14 1 0 0 7 85493.0 58 45.169 16 0 0 0 7 97437.0 59 51.976 18 0 1 1 5 48477.0 60 42.237 16 1 0 2 5 68886.0 61 55.993 12 3 1 2 7 78634.0 62 59.078 18 2 1 1 2 47296.0 63 48.115 14 1 1 2 7 105304.0 64 55.103 16 0 1 2 5 88473.0 65 39.45 18 1 0 0 1 41508.0 66 44.711 18 0 0 2 2 41952.0 67 41.898 16 1 1 2 0 27436.0 68 50.534 12 1 1 1 4 58821.0 69 34.86 12 1 1 2 5 91726.0 70 37.402 12 1 1 1 0 28014.0 71 46.407 0 0 0 2 7 128862.0 72 33.048 12 0 1 2 1 32686.0 73 41.646 14 0 0 1 2 42077.0 74 36.529 17 2 1 2 6 112913.0 75 34.579 16 1 1 1 6 103966.0 76 31.186 14 1 1 0 6 126408.0 77 34.063 17 2 0 0 2 37310.0 78 46.909 12 1 0 2 5 44772.0 79 35.704 14 2 0 1 1 36775.0 80 53.478 16 0 0 2 7 77118.0 81 38.216 12 1 0 0 3 53374.0 82 39.071 13 1 0 1 3 53695.0 83 49.046 16 0 0 1 7 103177.0 84 53.262 16 1 0 0 3 50425.0 85 41.858 18 1 0 2 6 104737.0 86 41.093 19 1 1 1 0 25211.0 87 34.462 16 0 1 0 0 25521.0 88 46.278 16 1 0 2 0 28313.0 89 37.799 16 0 0 1 3 43914.0 90 39.587 12 0 0 0 1 30828.0 91 55.401 14 1 0 1 1 30532.0 92 45.801 13 0 1 0 4 73565.0 93 55.228 16 2 0 0 3 69192.0 94 39.29 16 2 1 1 6 65309.0 95 44.145 8 0 0 1 6 112081.0 96 33.699 16 1 1 1 4 48843.0 97 39.954 12 1 1 2 5 61367.0 98 33.478 14 0 0 1 2 43584.0 99 50.031 14 1 1 2 6 102002.0 100 42.055 12 1 1 1 5 48661.0 101 50.011 14 2 0 2 5 69890.0 102 46.002 14 2 0 1 1 36175.0 103 34.161 12 0 0 2 3 66367.0 104 41.88 19 1 0 1 1 48091.0 105 47.1 20 1 0 1 5 75456.0 106 35.843 16 0 0 1 0 27682.0 107 48.022 12 0 1 2 7 114451.0 108 38.567 12 1 0 1 7 121982.0 109 39.925 12 3 0 1 3 57985.0 110 55.033 20 0 1 2 5 44979.0 111 35.553 14 0 0 2 3 54777.0 112 45.184 16 0 0 0 3 64158.0 113 44.625 16 1 1 0 5 78375.0 114 37.469 16 1 1 1 1 46892.0 115 41.397 18 1 0 2 6 97955.0 116 45.882 13 1 1 0 2 35971.0 117 39.055 18 2 1 2 5 64039.0 118 38.863 17 1 0 0 3 55894.0 119 36.752 16 1 0 2 5 69389.0 120 37.539 12 1 1 0 4 64545.0 121 44.909 17 2 1 2 1 41884.0 122 37.88 19 1 0 2 7 104767.0 123 33.524 14 1 1 0 7 134221.0 124 51.305 18 1 1 0 2 32457.0 125 35.68 16 2 1 1 3 51847.0 126 54.59 17 0 1 1 0 31817.0 127 43.352 16 1 0 1 1 28530.0 128 33.938 13 1 0 2 7 115709.0 129 44.699 18 1 1 0 1 42614.0 130 31.986 14 1 1 2 6 81802.0 131 44.004 22 1 0 2 5 64205.0 132 59.284 18 2 1 2 6 59457.0 133 53.745 16 1 1 1 3 38630.0 134 37.438 13 0 1 1 7 156134.0 135 38.852 14 2 1 1 4 58283.0 136 31.032 12 1 0 1 0 29869.0 137 54.505 17 1 1 1 7 115004.0 138 37.849 12 1 1 0 7 115052.0 139 32.833 12 1 0 2 5 61902.0 140 54.724 12 0 0 0 5 85771.0 141 47.404 12 0 1 1 4 71398.0 142 50.397 16 1 0 2 3 59304.0 143 40.178 14 1 0 1 1 29921.0 144 49.96 16 1 0 2 2 39708.0 145 50.512 16 0 1 0 0 32025.0 146 49.987 12 1 1 0 5 46942.0 147 53.115 18 2 0 0 1 41175.0 148 42.937 16 0 1 1 0 26863.0 149 50.367 16 1 1 2 1 31818.0 150 51.57 12 0 0 1 0 33257.0 151 58.472 16 0 1 1 0 33167.0 152 38.236 17 1 1 0 4 54371.0 153 52.361 16 2 0 0 1 46481.0 154 50.783 16 1 0 1 2 34526.0 155 46.921 16 1 1 1 0 25454.0 156 51.435 12 0 1 0 2 40217.0 157 54.55 12 1 1 1 0 32320.0 158 52.804 16 0 1 1 0 31404.0 159 53.046 14 0 1 1 6 90207.0 160 59.807 12 3 0 0 3 53854.0 161 45.782 18 0 1 0 6 93047.0 162 46.305 16 1 1 0 4 58205.0 163 38.411 18 1 1 2 6 109630.0 164 42.824 12 0 1 0 1 44136.0 165 43.549 16 0 0 0 3 53801.0 166 44.193 18 0 0 1 3 57937.0 167 56.445 12 2 1 1 0 20252.0 168 43.418 20 0 0 0 7 142733.0 169 34.858 16 0 0 2 5 60020.0 170 45.227 0 0 1 2 4 53738.0 171 56.07 16 0 1 2 6 107830.0 172 42.074 16 1 1 1 4 67934.0 173 51.225 14 0 0 1 5 66341.0 174 32.159 12 0 1 0 5 65454.0 175 32.798 16 1 1 2 5 64846.0 176 52.359 16 0 0 0 1 41437.0 177 46.978 13 0 1 1 7 95415.0 178 43.298 14 0 0 1 5 59966.0 179 42.278 14 2 1 2 6 92342.0 180 54.88 16 0 0 2 1 33168.0 181 31.795 16 1 0 2 6 92979.0 182 49.376 13 1 0 2 0 23264.0 183 49.525 12 1 1 1 0 27847.0 184 42.017 14 0 0 1 4 65054.0 185 33.97 17 0 1 0 3 52142.0 186 42.746 18 0 1 0 1 33005.0 187 34.042 20 2 1 0 4 69014.0 188 59.142 16 1 1 0 3 38512.0 189 45.27 12 0 1 2 5 65171.0 190 55.734 12 0 1 1 3 53002.0 191 40.852 14 1 1 0 1 35384.0 192 45.17 18 1 1 2 7 148730.0 193 36.495 16 1 0 2 1 32453.0 194 53.316 16 1 1 1 1 40913.0 195 31.937 13 0 1 1 2 50332.0 196 33.931 18 0 1 0 5 62885.0 197 33.344 12 2 1 2 6 91830.0 198 34.964 16 1 0 2 5 66015.0 199 31.132 16 1 1 0 4 62046.0 200 49.918 16 2 1 0 4 60775.0 201 47.081 14 3 1 2 6 67944.0 202 55.14 19 2 0 1 2 53126.0 203 45.129 18 1 1 1 4 70147.0 204 53.113 12 1 1 1 4 57952.0 205 41.559 14 1 0 0 3 61813.0 206 56.237 20 2 0 0 6 111993.0 207 43.659 13 2 0 2 3 53727.0 208 52.935 16 2 0 0 3 52578.0 209 36.077 14 0 1 2 6 120126.0 210 32.714 20 0 0 0 0 25846.0 211 44.014 19 1 1 0 1 30278.0 212 31.445 20 0 0 2 5 79423.0 213 51.408 16 1 0 0 1 34638.0 214 45.24 18 0 0 2 3 48623.0 215 32.614 12 1 0 2 6 73276.0 216 31.609 18 1 0 2 5 71272.0 217 51.296 16 0 1 1 1 35227.0 218 48.248 14 0 1 2 6 91555.0 219 50.488 16 1 0 2 2 41940.0 220 45.796 17 3 0 1 0 31641.0 221 48.13 16 1 0 1 6 123941.0 222 35.323 20 0 1 0 4 66875.0 223 37.456 20 0 0 1 2 48183.0 224 31.741 13 1 0 0 6 84554.0 225 50.503 18 3 1 1 1 43442.0 226 40.307 13 0 0 2 6 81991.0 227 41.755 18 1 0 0 1 31332.0 228 59.644 14 2 0 2 0 28804.0 229 40.217 12 1 1 2 5 49853.0 230 32.24 16 1 1 1 4 79761.0 231 44.368 10 2 1 0 4 60311.0 232 51.704 12 1 0 1 1 38536.0 233 52.69 20 1 0 0 2 38993.0 234 31.186 21 0 0 2 2 40399.0 235 48.99 12 0 0 1 2 49763.0 236 51.905 16 1 0 0 2 43738.0 237 40.09 16 1 1 0 1 36080.0 238 50.618 12 1 0 2 1 40017.0 239 38.163 16 1 1 0 7 84992.0 240 44.554 12 0 0 0 2 44725.0 241 33.292 12 0 0 2 6 91075.0 242 56.53 20 1 1 1 0 25915.0 243 53.734 12 0 1 2 6 117059.0 244 36.593 12 1 0 0 3 46066.0 245 58.347 18 1 0 1 2 40076.0 246 32.571 16 1 0 2 2 43617.0 247 36.666 0 1 0 1 0 32639.0 248 49.339 18 3 0 2 2 54704.0 249 41.482 13 1 1 0 6 102756.0 250 57.583 16 1 1 1 1 41623.0 251 55.247 12 1 0 2 0 21091.0 252 35.048 17 1 1 0 0 22234.0 253 45.263 16 1 1 2 6 80901.0 254 56.486 16 1 0 2 7 72841.0 255 46.748 16 1 1 2 5 64284.0 256 39.98 14 1 1 0 3 60989.0 257 42.026 18 1 0 1 0 29009.0 258 50.613 16 1 0 2 3 43347.0 259 47.592 8 0 1 1 4 57432.0 260 44.647 21 3 0 0 3 58805.0 261 44.383 20 0 0 1 6 102995.0 262 46.996 16 1 0 2 5 72460.0 263 35.104 12 1 0 1 0 33497.0 264 44.407 17 1 0 0 6 127100.0 265 57.085 12 0 0 0 1 44240.0 266 39.97 14 1 1 1 1 25271.0 267 31.538 17 1 1 1 3 51549.0 268 39.845 16 1 0 2 1 30997.0 269 37.957 21 1 1 2 5 62102.0 270 44.025 12 1 0 0 2 34742.0 271 30.788 0 1 1 2 6 78436.0 272 38.552 16 0 0 2 0 28372.0 273 46.582 12 0 0 1 0 24915.0 274 50.585 13 1 1 1 3 48034.0 275 37.055 16 2 0 0 6 55847.0 276 35.285 16 0 0 2 5 66987.0 277 34.322 12 0 0 0 2 54742.0 278 43.219 13 0 0 1 1 44450.0 279 30.344 17 1 0 0 0 32088.0 280 41.202 16 0 1 1 2 47254.0 281 46.862 17 1 0 1 3 54995.0 282 56.352 12 0 1 2 1 33906.0 283 43.557 12 1 0 1 0 33694.0 284 52.018 18 2 0 1 6 89265.0 285 34.342 16 1 0 1 5 67708.0 286 56.503 13 0 0 0 1 34594.0 287 59.119 14 1 0 1 0 31369.0 288 49.444 17 0 0 0 1 31803.0 289 52.749 16 2 0 0 3 53211.0 290 34.005 14 3 0 1 1 42028.0 291 36.237 16 1 0 1 0 28898.0 292 33.941 16 1 0 2 2 47374.0 293 42.95 16 1 0 2 5 74909.0 294 45.862 14 1 1 1 4 56479.0 295 38.466 17 1 0 2 5 58123.0 296 36.331 16 0 0 2 5 89461.0 297 32.163 18 1 1 1 4 65442.0 298 41.567 17 3 0 0 3 41521.0 299 47.716 13 2 0 0 7 121831.0 300 42.276 14 1 1 0 6 75485.0 301 52.739 14 1 0 2 7 125968.0 302 39.446 16 1 0 1 3 56784.0 303 54.777 11 0 1 0 3 57384.0 304 31.042 14 1 0 2 6 90267.0 305 44.003 16 1 1 2 7 114157.0 306 36.615 18 1 0 1 0 33214.0 307 38.306 16 2 1 2 2 42083.0 308 33.514 16 1 1 1 7 113008.0 309 32.487 12 1 1 2 6 104397.0 310 54.142 17 0 0 1 2 40328.0 311 36.459 16 0 0 2 6 86294.0 312 54.428 16 0 0 1 1 45604.0 313 43.48 16 1 0 1 0 29658.0 314 43.232 19 1 0 1 3 61204.0 315 56.369 18 1 1 2 7 135456.0 316 36.755 20 1 1 2 2 44857.0 317 42.826 13 1 1 0 2 38302.0 318 52.692 16 0 1 1 4 59409.0 319 33.478 13 1 0 1 3 55140.0 320 38.897 12 0 0 0 7 99422.0 321 55.825 17 0 1 1 3 40289.0 322 52.354 16 1 1 1 1 41983.0 323 49.019 12 0 1 2 5 44471.0 324 42.434 12 1 0 0 1 28592.0 325 43.31 18 3 1 1 4 57368.0 326 39.565 13 1 0 0 0 33858.0 327 34.264 14 1 1 1 3 50375.0 328 31.692 18 1 0 2 5 88826.0 329 42.505 16 1 1 2 7 115673.0 330 49.004 16 3 1 1 3 57717.0 331 33.948 13 0 0 1 5 75382.0 332 32.039 12 3 0 2 2 48587.0 333 57.402 12 1 1 1 4 62198.0 334 50.979 16 1 0 2 0 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0 1 3 59323.0 834 50.612 17 1 0 2 5 83104.0 835 38.922 16 1 1 2 6 78692.0 836 32.677 14 1 1 1 3 52595.0 837 57.813 12 1 0 1 1 35358.0 838 40.608 16 3 1 2 5 69594.0 839 56.923 14 1 0 0 1 41361.0 840 49.891 18 1 1 0 2 40999.0 841 54.618 16 3 0 2 2 41599.0 842 37.441 16 0 1 2 2 44271.0 843 34.803 17 1 1 0 4 48663.0 844 45.118 14 1 0 2 0 27534.0 845 37.562 16 1 0 1 2 46237.0 846 38.024 12 3 0 1 0 29436.0 847 51.111 12 0 1 0 3 48278.0 848 43.267 12 1 0 1 3 50278.0 849 50.839 16 1 0 0 2 48484.0 850 41.325 16 0 0 2 6 84669.0 851 35.949 20 1 1 0 5 74078.0 852 50.324 12 2 0 0 0 29657.0 853 53.777 16 1 0 0 1 34653.0 854 39.011 16 3 0 0 3 55853.0 855 45.275 18 1 0 2 3 53640.0 856 41.481 13 1 1 2 7 139027.0 857 36.419 12 2 0 2 2 46218.0 858 33.573 16 2 1 2 7 76414.0 859 45.607 14 1 0 2 2 33863.0 860 50.117 14 2 1 2 1 46185.0 861 33.969 16 1 0 1 1 43151.0 862 39.472 18 2 1 1 1 32648.0 863 51.593 14 1 0 2 1 27802.0 864 37.997 12 0 0 0 3 40137.0 865 30.042 16 0 0 2 5 71978.0 866 56.167 13 1 1 0 2 57562.0 867 39.796 16 2 1 1 4 57576.0 868 38.421 16 1 1 2 0 31089.0 869 56.244 16 1 0 2 3 39868.0 870 44.866 13 0 0 2 7 119334.0 871 47.012 16 1 1 1 3 66628.0 872 55.732 16 0 0 1 0 32676.0 873 51.62 12 1 1 1 4 67548.0 874 47.625 14 1 1 1 5 67939.0 875 46.453 19 1 1 1 0 28279.0 876 36.88 17 0 0 1 3 66637.0 877 42.425 17 1 1 1 7 135627.0 878 43.274 12 0 0 0 3 58712.0 879 43.766 16 1 1 2 6 117598.0 880 59.914 14 1 1 2 7 98940.0 881 57.994 16 0 0 0 2 42259.0 882 39.983 17 1 1 2 6 97110.0 883 41.089 12 1 1 1 0 34940.0 884 46.863 16 0 0 0 1 42278.0 885 37.052 14 1 1 2 5 63725.0 886 44.018 12 0 1 2 5 57983.0 887 42.244 14 0 0 0 1 39361.0 888 30.405 13 0 0 2 5 61304.0 889 38.729 16 1 0 2 5 63804.0 890 32.332 16 1 1 2 6 108528.0 891 46.738 16 1 1 2 5 70826.0 892 45.97 12 2 1 1 4 66592.0 893 49.986 22 0 1 0 6 75134.0 894 34.546 18 1 1 1 6 92249.0 895 53.329 20 1 1 0 4 65588.0 896 42.221 12 1 1 2 6 98510.0 897 53.604 16 1 1 2 3 65028.0 898 46.581 21 0 1 2 1 40969.0 899 59.063 20 1 1 1 5 81915.0 900 45.917 12 0 0 1 3 49830.0 901 35.382 18 2 1 0 6 88287.0 902 49.189 16 3 0 0 2 42580.0 903 42.764 16 1 1 2 3 46570.0 904 43.492 20 1 1 0 1 41052.0 905 50.44 17 2 0 0 1 33584.0 906 33.804 18 1 0 0 2 44877.0 907 42.069 18 0 0 0 1 36091.0 908 32.403 12 1 1 0 6 61659.0 909 44.719 17 0 0 2 6 102858.0 910 47.664 16 2 0 0 0 25203.0 911 42.531 16 1 0 0 0 29942.0 912 33.174 17 1 0 2 5 56545.0 913 53.135 16 1 1 2 3 44813.0 914 36.523 20 1 1 1 4 64281.0 915 35.948 16 1 0 2 5 73670.0 916 53.978 16 1 0 1 3 68591.0 917 52.198 16 3 0 0 0 30728.0 918 44.322 16 1 1 2 7 83665.0 919 37.834 18 1 1 2 7 86983.0 920 44.961 16 1 0 2 5 71957.0 921 35.09 12 1 1 2 7 119115.0 922 45.967 18 1 1 0 2 48289.0 923 59.038 17 0 1 1 2 42532.0 924 37.801 20 1 0 0 1 41649.0 925 50.536 16 1 0 0 2 57993.0 926 42.986 8 1 1 0 1 34025.0 927 31.721 12 1 0 0 1 27702.0 928 59.566 16 1 1 1 4 52041.0 929 48.723 16 1 0 1 3 46733.0 930 33.073 12 1 0 0 3 44416.0 931 37.891 16 0 1 1 4 62200.0 932 35.169 12 2 0 1 5 47345.0 933 36.317 12 1 1 1 2 40982.0 934 31.162 18 2 1 0 3 38770.0 935 47.209 17 0 0 0 1 31459.0 936 47.401 12 1 0 0 1 34866.0 937 52.256 16 0 1 1 7 107937.0 938 50.304 12 3 1 1 1 34328.0 939 58.602 16 1 0 0 1 33685.0 940 56.416 12 2 0 0 3 61538.0 941 34.296 12 1 0 2 7 116394.0 942 32.274 17 2 0 2 6 123025.0 943 39.956 16 2 1 2 6 97784.0 944 57.593 16 1 0 1 3 61467.0 945 30.814 14 2 1 0 5 62245.0 946 34.549 17 0 1 2 6 73188.0 947 30.861 16 1 1 2 5 68510.0 948 54.462 16 1 0 0 0 26708.0 949 39.185 0 1 0 0 0 34766.0 950 38.599 16 0 1 0 5 75892.0 951 43.275 16 1 1 2 5 64111.0 952 42.32 12 0 0 1 5 44264.0 953 40.711 12 0 0 2 1 42042.0 954 51.119 12 1 1 2 5 74011.0 955 39.792 13 1 0 0 1 38629.0 956 39.608 12 1 1 1 3 52334.0 957 56.813 12 1 1 1 3 55754.0 958 32.948 14 1 1 1 1 35865.0 959 33.764 18 0 0 0 3 40946.0 960 40.399 19 1 1 1 2 45425.0 961 50.952 12 1 1 2 7 108807.0 962 45.06 14 3 1 1 3 57259.0 963 33.638 14 0 1 1 5 78949.0 964 56.718 16 1 1 1 6 104014.0 965 47.817 14 1 0 2 3 52586.0 966 41.427 16 1 1 2 5 82514.0 967 58.481 14 1 1 1 7 114524.0 968 48.101 16 1 0 1 0 28642.0 969 43.318 16 0 0 0 3 62452.0 970 41.862 17 2 0 1 1 41623.0 971 32.928 16 1 1 2 6 56421.0 972 52.071 19 1 0 0 1 35392.0 973 44.199 18 1 0 2 0 31371.0 974 50.868 12 0 1 0 6 125568.0 975 43.049 12 0 1 1 7 152094.0 976 36.973 12 0 0 1 3 57791.0 977 54.482 12 1 0 0 1 34043.0 978 47.265 16 1 1 2 2 58375.0 979 52.097 16 0 1 0 4 61094.0 980 39.066 14 1 1 2 5 63172.0 981 51.194 16 1 0 2 5 50323.0 982 41.086 12 1 1 2 7 149326.0 983 44.387 12 0 1 0 4 56648.0 984 53.015 12 1 0 0 1 35149.0 985 48.669 8 0 0 0 6 84130.0 986 49.024 13 0 1 1 0 29943.0 987 42.655 20 1 1 1 0 24096.0 988 55.451 14 1 1 1 1 29866.0 989 49.495 18 0 0 1 0 25112.0 990 33.522 12 1 1 0 6 89872.0 991 37.234 16 2 1 0 3 61176.0 992 40.053 20 1 1 1 0 22517.0 993 33.08 16 1 0 1 2 41307.0 994 49.709 13 1 1 1 0 26217.0 995 59.585 16 3 1 2 0 31057.0 996 50.28 16 1 0 2 3 47594.0 997 51.522 16 1 0 1 0 19949.0 998 37.03 17 1 1 2 1 40312.0 999 57.752 12 1 1 1 0 25303.0 1000 48.08 16 0 0 0 0 27338.0 1001 49.177 18 0 0 2 3 55197.0 1002 50.112 18 0 0 1 1 39064.0 1003 37.789 16 1 1 0 5 67665.0 1004 33.254 14 0 0 1 3 53983.0 1005 57.711 9 1 0 0 6 93753.0 1006 37.486 14 1 0 1 0 30029.0 1007 41.069 16 0 0 1 3 47550.0 1008 58.365 12 2 0 1 2 51072.0 1009 42.852 20 2 0 2 1 41560.0 1010 32.068 14 1 1 0 6 81335.0 1011 59.661 13 1 0 2 3 46408.0 1012 32.819 12 3 1 0 2 35478.0 1013 50.731 20 0 1 2 7 114072.0 1014 35.386 14 1 0 0 2 45429.0 1015 41.118 14 1 0 1 3 55986.0 1016 38.064 12 3 0 1 0 23031.0 1017 39.049 12 2 0 1 3 45367.0 1018 43.202 18 1 1 2 6 107576.0 1019 37.562 0 1 0 1 1 35419.0 1020 53.83 16 0 0 1 7 86428.0 1021 37.94 12 3 1 0 4 61934.0 1022 34.812 18 0 1 2 2 42732.0 1023 56.69 18 1 1 1 7 123654.0 1024 34.712 17 0 0 1 0 28198.0 1025 47.066 16 0 0 2 7 66424.0 1026 34.401 9 1 0 0 3 51397.0 1027 50.582 12 1 1 2 6 89774.0 1028 44.432 13 1 0 2 2 58445.0 1029 52.025 12 0 0 0 0 29875.0 1030 58.963 14 3 1 2 3 46324.0 1031 36.282 12 2 0 2 3 46630.0 1032 57.74 18 1 1 0 4 48716.0 1033 46.466 16 0 0 2 7 89710.0 1034 40.184 18 0 1 2 6 74523.0 1035 33.646 9 1 0 1 0 35664.0 1036 47.141 18 1 0 0 1 42464.0 1037 34.488 20 0 0 1 1 40761.0 1038 33.596 21 1 1 2 6 106724.0 1039 49.42 12 1 1 1 4 62913.0 1040 33.066 12 1 0 0 2 44828.0 1041 58.928 17 1 0 0 1 37564.0 1042 39.931 11 1 0 2 1 31814.0 1043 34.715 18 1 0 1 5 67505.0 1044 52.43 17 1 1 2 6 128563.0 1045 36.702 12 0 1 1 7 127434.0 1046 43.855 16 3 1 1 1 40602.0 1047 30.057 12 0 0 0 3 52092.0 1048 50.018 0 1 0 1 4 69847.0 1049 34.505 16 2 1 0 0 25797.0 1050 36.214 16 1 1 2 1 32289.0 1051 46.995 9 0 1 1 0 27800.0 1052 35.377 21 0 1 2 3 45503.0 1053 42.726 12 1 0 1 0 29464.0 1054 42.915 14 2 0 1 0 25638.0 1055 47.9 12 1 0 1 0 35879.0 1056 32.529 20 1 0 0 3 52561.0 1057 35.138 12 1 0 2 6 92570.0 1058 57.941 12 2 0 2 5 64543.0 1059 45.039 16 2 0 2 5 74022.0 1060 52.481 18 3 1 0 5 60713.0 1061 36.433 12 1 0 0 2 59352.0 1062 36.367 16 1 0 2 2 49161.0 1063 39.699 17 1 1 0 4 61922.0 1064 30.677 16 1 1 2 7 80192.0 1065 41.314 18 0 0 0 3 59399.0 1066 44.348 18 1 1 2 5 64070.0 1067 51.295 16 2 0 2 5 61315.0 1068 45.465 16 0 1 0 3 42881.0 1069 35.46 0 1 1 0 3 51212.0 1070 51.91 13 1 0 2 5 79281.0 1071 35.161 16 0 1 2 7 113929.0 1072 30.917 12 3 0 0 3 56422.0 1073 36.265 16 0 0 1 0 29031.0 1074 33.712 12 1 1 2 7 153904.0 1075 51.193 16 0 0 1 6 126753.0 1076 47.599 16 1 1 0 4 52174.0 1077 34.013 17 2 1 0 2 36898.0 1078 50.057 14 2 1 1 0 32399.0 1079 58.065 14 0 1 2 2 47342.0 1080 57.171 13 1 0 2 7 108190.0 1081 56.012 20 1 1 0 4 45640.0 1082 47.608 17 1 0 0 1 43029.0 1083 39.671 20 0 1 1 4 74222.0 1084 49.779 14 0 1 1 4 47952.0 1085 38.981 11 1 1 2 6 97708.0 1086 46.653 14 1 1 0 3 54868.0 1087 51.496 14 1 1 1 7 140939.0 1088 43.76 16 1 1 1 5 87644.0 1089 46.597 16 1 1 1 7 122446.0 1090 50.893 12 1 0 2 2 50224.0 1091 30.542 17 1 0 2 5 69315.0 1092 49.662 12 1 0 1 2 55730.0 1093 47.803 16 1 1 0 4 57896.0 1094 30.523 20 0 0 2 0 30315.0 1095 32.59 16 0 0 1 1 42129.0 1096 36.377 14 0 1 0 6 117117.0 1097 55.209 12 1 1 0 2 35516.0 1098 39.335 16 1 1 2 7 124951.0 1099 36.072 16 1 0 0 1 26887.0 1100 47.689 16 1 1 0 3 57728.0 1101 33.023 16 1 1 2 7 105180.0 1102 37.634 12 1 0 0 6 88910.0 1103 31.089 18 0 0 1 5 73669.0 1104 33.179 14 3 1 1 1 41016.0 1105 36.315 18 3 1 2 5 62815.0 1106 47.133 16 0 1 2 1 31538.0 1107 38.999 16 1 0 0 3 55602.0 1108 59.535 16 1 0 1 5 78489.0 1109 52.411 14 0 1 2 2 50257.0 1110 58.087 21 0 0 0 1 32967.0 1111 56.198 16 2 1 0 4 59060.0 1112 43.645 12 2 1 0 4 71058.0 1113 33.249 11 2 1 0 6 96023.0 1114 56.589 14 1 0 2 5 64701.0 1115 32.958 16 0 0 0 6 114012.0 1116 48.305 16 1 1 1 2 54347.0 1117 33.024 12 1 1 0 4 58218.0 1118 45.641 12 3 0 0 3 49658.0 1119 53.22 12 0 0 0 0 25305.0 1120 30.346 12 0 1 1 1 34214.0 1121 41.001 17 0 0 0 1 40852.0 1122 52.319 17 0 1 0 6 87362.0 1123 43.892 12 2 0 2 5 65015.0 1124 48.565 19 1 0 1 0 35212.0 1125 41.829 16 0 1 2 6 82973.0 1126 43.935 16 1 0 0 6 91316.0 1127 30.86 16 1 0 1 3 50566.0 1128 51.869 16 0 1 2 6 126108.0 1129 48.995 16 1 0 1 0 32952.0 1130 34.835 16 1 0 2 5 71512.0 1131 52.876 18 2 0 1 2 55927.0 1132 38.3 16 0 0 0 2 54133.0 1133 51.467 14 1 1 0 7 131903.0 1134 44.058 16 0 0 1 0 29045.0 1135 51.131 16 1 1 2 2 44141.0 1136 56.493 16 1 0 1 1 38773.0 1137 58.22 16 1 1 2 5 86018.0 1138 31.662 16 1 0 2 6 118036.0 1139 49.5 20 2 1 2 6 83429.0 1140 52.605 14 1 1 0 5 66492.0 1141 38.977 20 0 1 2 2 48812.0 1142 38.346 16 0 0 2 6 129317.0 1143 52.486 18 0 0 2 3 39046.0 1144 47.503 16 1 1 2 6 87516.0 1145 31.272 12 0 1 1 4 66898.0 1146 57.071 16 1 0 2 5 60116.0 1147 51.675 16 1 1 2 1 41054.0 1148 34.299 18 1 1 1 1 40336.0 1149 43.925 20 1 0 2 5 55970.0 1150 39.736 12 1 0 1 1 36826.0 1151 50.189 17 0 0 1 2 40657.0 1152 38.584 16 0 1 2 1 35505.0 1153 38.7 14 1 0 1 7 112858.0 1154 36.941 16 1 1 2 6 94038.0 1155 54.349 16 1 1 0 0 24643.0 1156 53.085 20 0 1 2 5 76901.0 1157 31.995 16 2 1 0 3 52647.0 1158 34.386 0 1 0 0 1 32635.0 1159 30.647 12 1 0 2 1 35708.0 1160 39.185 16 1 1 1 1 31059.0 1161 33.166 16 1 0 2 5 67022.0 1162 59.678 16 1 0 0 6 81195.0 1163 43.209 16 1 1 0 3 55489.0 1164 46.86 16 0 0 0 3 48117.0 1165 49.934 14 2 0 2 2 43249.0 1166 42.939 17 1 0 0 0 33561.0 1167 30.204 18 1 0 0 2 38248.0 1168 36.399 11 1 1 1 4 61046.0 1169 30.191 16 1 0 1 3 45875.0 1170 42.354 12 1 0 2 3 43201.0 1171 59.198 12 1 0 2 5 56371.0 1172 49.317 12 1 1 1 2 46005.0 1173 45.446 14 3 0 0 2 35942.0 1174 56.936 14 0 0 1 5 61270.0 1175 49.181 16 0 0 2 6 97328.0 1176 46.309 20 1 0 2 1 35174.0 1177 44.315 13 0 0 0 2 46828.0 1178 47.612 16 3 0 0 1 35800.0 1179 50.219 16 1 1 0 5 66625.0 1180 36.01 12 3 0 0 3 59377.0 1181 41.765 16 1 1 0 5 64537.0 1182 32.38 16 0 1 2 1 34131.0 1183 31.995 14 1 0 0 0 24138.0 1184 32.524 16 1 1 2 2 39943.0 1185 44.475 16 2 1 0 4 63566.0 1186 36.801 16 0 1 0 6 72626.0 1187 43.287 18 1 1 1 4 66825.0 1188 53.191 16 0 0 2 7 110163.0 1189 49.683 12 1 1 2 3 48515.0 1190 48.465 16 0 0 1 0 37009.0 1191 37.939 12 1 0 1 2 41624.0 1192 47.684 14 1 1 2 1 33250.0 1193 46.05 16 1 1 0 5 49267.0 1194 43.037 14 1 1 1 3 46461.0 1195 33.467 16 2 1 0 1 34511.0 1196 34.538 12 1 0 0 2 52132.0 1197 43.263 12 1 1 0 7 114541.0 1198 52.711 18 0 0 0 1 37082.0 1199 33.457 16 1 0 0 1 27831.0 1200 48.694 14 2 0 2 7 129095.0 1201 48.681 14 0 0 0 3 50841.0 1202 55.703 19 0 0 0 1 38260.0 1203 55.937 14 1 1 0 4 55194.0 1204 30.479 12 1 1 0 0 28222.0 1205 56.029 16 1 1 1 7 107286.0 1206 41.487 12 0 0 1 7 117756.0 1207 37.285 21 1 1 0 7 143011.0 1208 57.222 13 0 1 1 4 61223.0 1209 35.343 14 0 1 1 3 62754.0 1210 50.758 14 1 1 0 1 44440.0 1211 56.354 14 0 1 1 1 27089.0 1212 44.405 20 2 1 2 2 54769.0 1213 42.04 20 0 0 1 5 85456.0 1214 51.878 17 1 1 1 2 40927.0 1215 39.786 14 1 1 0 2 50740.0 1216 30.077 16 1 0 0 1 31126.0 1217 43.68 9 3 1 1 2 57143.0 1218 54.26 12 0 1 0 5 69578.0 1219 57.214 16 0 0 0 3 56210.0 1220 46.942 9 0 1 2 6 126178.0 1221 45.053 16 0 1 0 7 131919.0 1222 37.418 12 1 1 0 4 67352.0 1223 50.252 16 3 0 0 2 37564.0 1224 57.404 18 1 1 2 6 105853.0 1225 30.154 16 1 1 0 7 108486.0 1226 48.603 16 0 1 1 4 55858.0 1227 41.119 12 0 0 2 2 43491.0 1228 53.428 18 0 0 0 2 46962.0 1229 53.425 12 1 0 2 2 43923.0 1230 46.16 14 1 0 0 0 33746.0 1231 36.426 16 1 0 0 5 80989.0 1232 43.158 16 1 1 1 4 53456.0 1233 57.003 16 0 1 1 1 33398.0 1234 50.357 14 0 1 1 2 35731.0 1235 38.955 16 1 0 0 6 87696.0 1236 56.306 14 0 1 2 4 63895.0 1237 49.494 16 2 1 0 4 73868.0 1238 51.223 18 1 0 1 0 27349.0 1239 42.32 16 0 1 1 4 50133.0 1240 32.215 12 3 0 0 1 39687.0 1241 39.625 18 1 0 2 6 102648.0 1242 42.545 12 1 1 0 6 66794.0 1243 54.32 16 1 1 0 3 66703.0 1244 43.187 12 2 1 0 2 53153.0 1245 48.264 18 0 0 2 5 61314.0 1246 39.518 13 1 0 1 4 79524.0 1247 50.214 0 1 0 1 2 32082.0 1248 43.476 16 3 0 1 3 48835.0 1249 55.534 16 1 1 2 6 128625.0 1250 44.795 22 0 1 1 3 53482.0 1251 45.761 16 1 1 2 0 36974.0 1252 36.367 16 0 0 2 0 27181.0 1253 54.057 16 1 0 0 6 124269.0 1254 45.745 18 0 1 2 1 42260.0 1255 43.136 16 1 0 2 5 67050.0 1256 44.367 16 2 1 1 6 63579.0 1257 31.558 16 2 1 0 6 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94073.0 1742 52.825 12 0 0 2 5 69762.0 1743 47.296 14 1 0 0 6 70175.0 1744 52.395 13 0 1 0 1 28554.0 1745 34.565 10 3 1 0 6 75595.0 1746 37.515 17 0 0 0 3 57269.0 1747 44.843 17 0 0 0 2 37418.0 1748 39.614 12 1 1 1 4 50350.0 1749 36.994 20 1 1 0 4 77475.0 1750 49.207 19 1 1 0 4 77545.0 1751 43.027 14 0 1 1 6 108277.0 1752 30.792 14 1 1 1 3 61464.0 1753 48.608 14 1 1 2 2 43456.0 1754 50.246 18 0 0 1 0 23954.0 1755 32.376 18 0 1 1 1 36705.0 1756 41.767 12 0 1 1 2 44621.0 1757 46.023 16 1 0 1 6 101128.0 1758 57.891 20 3 0 0 6 90002.0 1759 41.738 11 1 1 1 4 46865.0 1760 30.177 18 0 1 1 3 43975.0 1761 53.972 18 0 0 1 0 33392.0 1762 35.627 12 2 1 2 6 102395.0 1763 32.33 14 1 0 0 3 53312.0 1764 56.899 18 1 0 1 1 31670.0 1765 55.541 18 1 0 1 2 46625.0 1766 58.852 12 0 0 2 7 91991.0 1767 40.499 16 2 0 2 2 43495.0 1768 40.373 20 1 1 0 4 63497.0 1769 53.861 16 0 1 0 1 32913.0 1770 35.498 20 1 1 2 2 35218.0 1771 48.315 14 1 0 2 2 45335.0 1772 43.369 16 2 1 1 3 61287.0 1773 43.388 14 0 0 1 1 38692.0 1774 44.037 12 1 1 0 4 73923.0 1775 38.577 16 1 0 1 0 27416.0 1776 40.828 16 1 1 1 6 105877.0 1777 46.888 12 1 1 1 0 28753.0 1778 46.089 12 3 1 2 7 142809.0 1779 46.85 12 0 0 2 5 61376.0 1780 58.61 14 1 1 1 4 71012.0 1781 31.871 12 0 0 0 2 44877.0 1782 41.381 8 3 0 1 3 51515.0 1783 45.321 17 1 0 2 5 70648.0 1784 32.91 17 0 1 1 1 42678.0 1785 58.105 14 1 0 2 2 44220.0 1786 41.483 17 1 0 2 7 147315.0 1787 35.268 16 1 0 2 2 41740.0 1788 46.861 16 0 0 0 3 53810.0 1789 59.043 16 1 1 2 7 112083.0 1790 30.231 18 1 0 1 1 30008.0 1791 37.925 12 0 0 0 5 81578.0 1792 56.722 14 0 0 0 1 33071.0 1793 38.506 20 0 0 1 3 53901.0 1794 51.782 20 1 0 2 2 44890.0 1795 57.452 16 1 0 2 0 29837.0 1796 36.251 16 1 0 1 2 37309.0 1797 39.867 17 1 1 2 5 66374.0 1798 54.354 17 1 0 2 7 103158.0 1799 31.226 16 0 0 1 3 51249.0 1800 37.317 13 1 0 2 5 55855.0 1801 55.661 8 0 1 2 6 99890.0 1802 46.768 14 3 1 2 6 95482.0 1803 36.139 12 1 0 0 0 27173.0 1804 48.665 16 0 1 0 4 72417.0 1805 47.333 14 0 1 2 2 50863.0 1806 37.706 14 1 0 1 0 29960.0 1807 58.788 20 0 1 0 1 38234.0 1808 46.266 16 0 0 1 1 44331.0 1809 42.772 20 1 1 0 2 42045.0 1810 34.347 12 0 1 0 1 30729.0 1811 49.229 8 0 1 2 1 38096.0 1812 30.458 16 3 0 0 3 56929.0 1813 31.715 16 0 0 0 1 28928.0 1814 41.087 16 1 0 2 2 56737.0 1815 47.65 14 2 1 2 3 57890.0 1816 36.157 12 1 1 2 7 130196.0 1817 37.486 11 0 1 0 1 30762.0 1818 53.773 18 1 1 0 4 73587.0 1819 43.6 18 1 0 1 2 44985.0 1820 34.625 16 0 1 0 5 56647.0 1821 38.842 12 0 1 1 6 113652.0 1822 36.817 19 1 1 2 5 54530.0 1823 30.392 14 1 0 0 1 46694.0 1824 57.787 12 0 0 0 2 47704.0 1825 49.747 12 0 1 0 4 60310.0 1826 55.715 16 0 0 1 2 60336.0 1827 48.181 14 1 0 2 5 78798.0 1828 50.299 19 0 1 2 5 74757.0 1829 38.486 14 1 0 0 1 45172.0 1830 48.026 14 2 1 1 3 50624.0 1831 35.536 9 0 1 0 0 21719.0 1832 49.896 16 1 1 2 5 61801.0 1833 53.827 16 1 1 0 5 72558.0 1834 31.316 12 0 0 1 2 40227.0 1835 55.044 16 1 0 2 2 44040.0 1836 51.081 20 0 1 1 4 54863.0 1837 49.573 19 1 0 0 5 58244.0 1838 40.154 12 3 0 1 0 30316.0 1839 41.439 14 1 0 2 7 136159.0 1840 59.354 16 1 0 2 6 121368.0 1841 46.714 12 1 0 1 1 37752.0 1842 35.093 10 0 1 1 4 51273.0 1843 46.433 11 1 1 2 2 44236.0 1844 50.403 16 1 0 1 3 61636.0 1845 32.812 21 0 1 1 4 80045.0 1846 52.179 12 1 0 0 5 61961.0 1847 32.321 18 1 1 0 3 63710.0 1848 37.698 12 0 1 1 3 50118.0 1849 40.073 14 1 0 0 6 104460.0 1850 53.722 12 0 1 2 6 91318.0 1851 30.191 17 1 0 1 3 59852.0 1852 55.725 12 1 0 0 1 44817.0 1853 50.566 16 1 1 2 5 87840.0 1854 37.355 18 1 1 2 5 87247.0 1855 41.838 16 1 1 0 2 41187.0 1856 39.973 16 1 1 0 7 116024.0 1857 34.699 14 0 0 1 2 36870.0 1858 35.71 16 0 0 0 1 27662.0 1859 32.276 19 1 1 0 7 99693.0 1860 37.047 16 0 1 0 3 51839.0 1861 40.465 16 1 0 2 1 33792.0 1862 55.486 13 1 0 0 3 41188.0 1863 39.33 8 2 0 1 1 37281.0 1864 41.176 12 1 1 0 1 30751.0 1865 44.932 16 3 1 1 2 59906.0 1866 59.03 16 1 1 1 4 50898.0 1867 59.384 21 1 1 2 6 91729.0 1868 43.536 16 0 0 1 3 48617.0 1869 45.798 12 1 0 2 2 43634.0 1870 31.338 16 1 1 1 1 38882.0 1871 47.933 20 1 0 1 3 52505.0 1872 34.075 13 0 0 2 1 30501.0 1873 50.425 11 1 0 1 0 37222.0 1874 50.169 17 0 0 2 1 32173.0 1875 39.562 14 1 0 0 3 59041.0 1876 58.563 12 1 1 2 6 80475.0 1877 32.965 8 0 0 0 3 56770.0 1878 32.094 17 0 0 1 3 59799.0 1879 48.108 14 1 1 2 1 46297.0 1880 47.073 16 1 0 1 5 73504.0 1881 37.606 16 1 1 1 1 44378.0 1882 43.004 18 3 0 2 5 84452.0 1883 30.297 16 1 1 1 6 119109.0 1884 37.561 16 0 0 0 3 67696.0 1885 49.986 14 2 1 1 4 69748.0 1886 52.522 12 1 0 2 7 110816.0 1887 43.419 18 1 1 1 1 37981.0 1888 48.849 16 1 1 1 0 30130.0 1889 44.074 16 2 1 0 6 104255.0 1890 47.904 16 1 0 2 0 28300.0 1891 43.505 17 1 0 0 1 31962.0 1892 45.792 14 0 1 0 1 32295.0 1893 36.146 21 1 1 2 6 94063.0 1894 53.263 14 0 0 1 2 38968.0 1895 49.645 16 1 1 0 1 38252.0 1896 47.799 16 1 0 2 6 112427.0 1897 53.354 20 0 0 1 0 30909.0 1898 34.158 16 1 0 1 3 48777.0 1899 42.332 14 0 1 0 6 80193.0 1900 35.978 16 1 0 2 1 33285.0 1901 30.372 20 1 1 0 4 53285.0 1902 46.767 18 1 0 1 1 34045.0 1903 37.602 13 1 0 0 1 42471.0 1904 37.948 21 1 0 1 1 32262.0 1905 40.358 12 0 0 2 2 37025.0 1906 56.06 12 0 0 1 1 41444.0 1907 32.933 14 2 1 1 4 58730.0 1908 58.653 16 1 0 1 3 56777.0 1909 50.342 18 1 0 1 0 34054.0 1910 51.782 14 1 0 1 3 54109.0 1911 34.743 16 0 0 1 1 35354.0 1912 54.76 18 2 1 2 7 132107.0 1913 31.561 18 3 0 2 1 36754.0 1914 55.046 12 1 0 2 2 35077.0 1915 42.552 16 3 0 2 5 70591.0 1916 55.936 16 1 1 0 6 83760.0 1917 35.381 17 1 1 0 7 88865.0 1918 32.0 17 0 1 0 3 47814.0 1919 40.316 16 0 0 2 5 61543.0 1920 31.214 0 0 0 0 0 25712.0 1921 53.282 12 0 1 1 6 89310.0 1922 43.927 16 1 1 1 0 28340.0 1923 48.954 17 1 1 1 4 66677.0 1924 33.476 16 2 1 2 5 46604.0 1925 38.431 13 0 0 0 3 48194.0 1926 53.16 14 1 1 2 2 41986.0 1927 40.124 16 0 1 1 4 68485.0 1928 35.861 17 1 0 0 0 33775.0 1929 33.45 16 0 0 0 3 62452.0 1930 52.848 14 0 0 1 1 38940.0 1931 39.505 13 1 1 1 0 29508.0 1932 30.864 16 2 1 1 2 42341.0 1933 35.378 17 2 0 2 6 79513.0 1934 43.999 12 1 0 1 2 39089.0 1935 45.643 17 3 0 1 0 23554.0 1936 50.938 16 0 0 1 0 20564.0 1937 57.491 14 1 0 1 3 55389.0 1938 35.392 16 0 0 0 1 30856.0 1939 31.6 18 2 0 0 2 39256.0 1940 38.048 12 1 0 1 0 31454.0 1941 56.312 12 1 1 0 4 59873.0 1942 38.342 18 0 1 1 4 44483.0 1943 52.191 0 0 1 2 6 121594.0 1944 39.294 16 0 0 1 0 35379.0 1945 31.088 13 0 1 1 7 83422.0 1946 57.204 0 0 1 2 1 36417.0 1947 44.076 10 3 1 1 3 53882.0 1948 35.093 16 1 1 0 2 46867.0 1949 34.439 14 1 0 2 2 57167.0 1950 38.317 18 1 1 0 2 39629.0 1951 32.605 17 0 1 0 4 72803.0 1952 32.089 16 0 0 2 5 75652.0 1953 45.643 12 1 1 1 0 32203.0 1954 37.111 16 0 1 1 0 33488.0 1955 59.66 20 1 1 1 3 54278.0 1956 53.24 12 1 0 0 6 113487.0 1957 36.216 12 1 0 0 1 38147.0 1958 45.417 12 1 0 1 2 40793.0 1959 41.965 17 0 0 1 2 35202.0 1960 41.718 16 0 0 0 1 38332.0 1961 45.413 19 1 1 1 4 48852.0 1962 50.039 16 1 0 1 3 54075.0 1963 53.716 17 1 0 2 5 86273.0 1964 53.426 14 1 0 0 6 89301.0 1965 35.74 16 1 0 1 1 35697.0 1966 32.585 16 0 1 1 2 43904.0 1967 39.545 17 1 1 1 4 50043.0 1968 38.002 17 2 0 1 3 56922.0 1969 40.678 18 1 0 0 0 25145.0 1970 45.459 14 0 1 2 7 87035.0 1971 46.634 16 2 1 2 6 86252.0 1972 32.233 12 1 0 1 0 29060.0 1973 52.955 14 0 0 2 1 36236.0 1974 33.983 17 0 0 2 0 27510.0 1975 33.943 12 0 0 2 6 101184.0 1976 38.607 16 1 0 1 3 50166.0 1977 54.235 16 1 1 1 4 60166.0 1978 43.45 16 1 1 2 7 99253.0 1979 49.628 16 1 0 0 0 22876.0 1980 31.77 12 3 1 0 3 52635.0 1981 51.854 17 0 1 0 3 57322.0 1982 42.236 12 1 1 1 4 59580.0 1983 57.068 12 1 1 0 5 47440.0 1984 55.58 12 0 1 2 5 54028.0 1985 47.682 21 1 0 2 2 41701.0 1986 59.08 16 0 0 1 2 49864.0 1987 38.77 16 0 1 2 5 63228.0 1988 35.984 12 0 0 0 2 44002.0 1989 55.797 16 0 1 2 7 80756.0 1990 43.627 18 1 1 2 4 55252.0 1991 37.173 12 2 1 1 3 54849.0 1992 54.473 20 0 0 0 1 33094.0 1993 54.605 16 1 1 0 6 67575.0 1994 42.539 0 2 1 1 1 36327.0 1995 39.377 18 3 0 1 3 60562.0 1996 45.283 13 1 0 2 7 104871.0 1997 33.355 14 1 0 1 3 43578.0 1998 52.777 16 0 1 1 0 27635.0 1999 52.607 14 1 0 2 0 31827.0 2000 51.042 16 1 1 2 7 141719.0 2001 39.613 16 1 0 0 0 25176.0 2002 58.479 16 2 0 2 2 48189.0 2003 47.212 16 0 0 0 1 39403.0 2004 51.994 17 2 0 1 0 28897.0 2005 47.944 12 0 1 2 5 79520.0 2006 40.017 18 1 0 2 6 111236.0 2007 40.934 14 0 1 1 3 57207.0 2008 57.045 18 0 0 1 2 45174.0 2009 51.3 16 3 1 2 7 98948.0 2010 36.188 16 3 1 0 1 39479.0 2011 56.468 12 0 1 0 4 60083.0 2012 49.583 12 1 1 0 7 128089.0 2013 35.015 16 1 0 2 2 53708.0 2014 44.503 13 2 0 0 1 40365.0 2015 41.862 14 0 0 1 6 90513.0 2016 37.922 16 1 1 1 4 49476.0 2017 40.042 12 2 0 0 5 63213.0 2018 54.148 16 1 0 0 2 56368.0 2019 35.67 18 1 0 0 6 130422.0 2020 56.68 20 0 0 2 2 53523.0 2021 44.406 18 1 1 1 7 110669.0 2022 48.579 16 3 0 0 2 56663.0 2023 44.172 10 1 1 0 2 53638.0 2024 52.628 18 0 1 0 4 79747.0 2025 41.889 18 2 0 2 5 66788.0 2026 42.981 16 0 0 0 3 64835.0 2027 38.94 12 1 0 2 2 39901.0 2028 49.536 16 2 0 1 1 33510.0 2029 31.462 17 3 0 0 0 31645.0 2030 55.506 16 0 0 1 2 38042.0 2031 41.658 9 1 1 1 2 42859.0 2032 55.754 13 0 0 1 0 27789.0 2033 51.457 0 1 0 0 1 39195.0 2034 43.821 12 1 1 2 5 46149.0 2035 52.931 12 1 0 1 0 27779.0 2036 35.303 16 2 1 1 2 39711.0 2037 34.516 12 1 0 0 2 44037.0 2038 51.611 16 0 1 0 1 34373.0 2039 30.056 12 2 1 2 5 58369.0 2040 44.631 18 1 1 1 6 77540.0 2041 58.316 20 0 1 0 0 22833.0 2042 56.413 16 0 0 0 3 54904.0 2043 34.622 16 0 0 1 1 35073.0 2044 55.791 14 1 1 2 6 88019.0 2045 38.852 14 1 0 1 1 35372.0 2046 39.234 12 2 0 1 1 37888.0 2047 55.061 20 1 0 0 2 39736.0 2048 47.773 14 1 1 2 7 122518.0 2049 50.442 16 1 1 2 5 64312.0 2050 33.914 16 1 1 1 5 69357.0 2051 45.567 13 2 1 1 1 33825.0 2052 41.658 16 1 0 0 2 52191.0 2053 44.748 16 1 0 1 3 55119.0 2054 36.764 16 1 0 2 7 94136.0 2055 50.03 17 2 0 2 6 94765.0 2056 48.548 16 0 1 1 4 69735.0 2057 53.383 16 1 0 1 5 67979.0 2058 54.359 17 0 0 0 1 40424.0 2059 48.88 16 1 1 1 2 37945.0 2060 43.294 14 1 0 2 6 113059.0 2061 45.3 16 3 0 1 0 35941.0 2062 54.109 16 1 0 1 6 71309.0 2063 58.58 13 1 1 2 7 96245.0 2064 57.383 18 1 0 1 0 34698.0 2065 55.99 11 1 0 1 0 33369.0 2066 37.913 17 2 0 1 3 56009.0 2067 48.553 8 3 1 1 5 41891.0 2068 45.59 16 1 1 0 4 63986.0 2069 47.714 17 3 1 2 1 32639.0 2070 37.615 16 1 1 0 5 81760.0 2071 49.325 16 1 0 1 3 46780.0 2072 47.872 12 2 0 2 2 43732.0 2073 46.166 16 0 1 0 5 63837.0 2074 40.618 18 0 1 2 5 67069.0 2075 49.676 18 1 1 0 7 120036.0 2076 40.597 17 1 1 1 4 59783.0 2077 47.436 14 1 0 2 0 34422.0 2078 45.146 18 1 0 0 3 54934.0 2079 43.994 19 0 0 1 0 21437.0 2080 47.057 20 1 1 0 4 50114.0 2081 35.133 14 0 0 1 1 36816.0 2082 58.206 16 1 1 0 1 33306.0 2083 58.249 14 1 1 0 1 34373.0 2084 34.233 16 1 1 1 4 55007.0 2085 38.282 16 1 0 2 1 35381.0 2086 36.89 16 0 0 0 0 26080.0 2087 32.48 19 0 1 0 0 24858.0 2088 57.808 16 1 1 2 6 78531.0 2089 36.626 12 1 0 2 3 57545.0 2090 51.836 12 1 1 0 1 39635.0 2091 51.777 16 0 0 2 6 96425.0 2092 41.028 17 0 1 2 6 75233.0 2093 36.769 18 1 0 1 0 29211.0 2094 35.315 16 3 0 2 7 127359.0 2095 54.386 16 2 1 2 7 126752.0 2096 34.05 16 1 1 1 4 65117.0 2097 36.01 18 1 1 1 4 52204.0 2098 48.276 14 0 1 1 3 52237.0 2099 51.859 14 1 1 2 5 69647.0 2100 32.228 12 1 1 1 1 36487.0 2101 58.299 12 0 0 2 6 115370.0 2102 56.077 16 2 0 0 3 52763.0 2103 35.706 16 0 1 0 1 29677.0 2104 32.429 16 0 1 1 4 71193.0 2105 49.173 16 1 1 0 4 62514.0 2106 49.087 12 0 0 1 3 50713.0 2107 47.655 12 0 0 0 0 22412.0 2108 49.537 18 0 1 1 7 77340.0 2109 42.875 16 0 1 0 6 87003.0 2110 30.45 12 1 0 1 2 41845.0 2111 53.268 16 0 0 0 2 32988.0 2112 31.348 12 1 1 0 3 58027.0 2113 57.613 16 1 1 2 7 126525.0 2114 54.422 12 1 0 2 0 31289.0 2115 38.561 20 1 0 1 0 31709.0 2116 39.541 12 0 1 2 6 89877.0 2117 33.72 16 1 1 0 1 36399.0 2118 46.759 16 1 1 0 7 111204.0 2119 45.687 16 1 0 1 7 135578.0 2120 51.908 13 0 0 0 2 57489.0 2121 53.338 16 1 1 0 4 79907.0 2122 42.881 13 1 0 0 3 65453.0 2123 42.199 16 1 0 2 3 53245.0 2124 32.505 8 0 1 2 2 43302.0 2125 52.272 18 1 1 0 7 112241.0 2126 45.284 17 2 0 0 3 49285.0 2127 32.719 19 1 0 2 6 121560.0 2128 34.673 14 0 1 2 5 67596.0 2129 55.28 13 1 1 0 4 57415.0 2130 31.119 14 0 0 1 1 41704.0 2131 34.005 16 0 0 1 0 23999.0 2132 53.181 18 2 1 0 6 75329.0 2133 51.274 14 1 1 0 4 60715.0 2134 41.991 16 1 0 2 3 43029.0 2135 49.794 16 2 1 0 6 100509.0 2136 32.176 12 1 0 0 2 42466.0 2137 45.288 20 0 0 1 4 59838.0 2138 50.813 12 1 1 2 5 64812.0 2139 30.911 22 1 0 0 1 35162.0 2140 45.444 16 0 1 0 1 32571.0 2141 53.444 16 1 0 0 1 37125.0 2142 57.856 16 0 1 2 5 74979.0 2143 30.274 13 1 1 1 4 81261.0 2144 47.936 20 1 1 1 0 33459.0 2145 59.649 12 1 0 2 0 28784.0 2146 47.799 16 3 1 2 4 59739.0 2147 34.445 14 1 0 0 0 27920.0 2148 53.433 12 1 1 0 2 47619.0 2149 40.872 17 0 1 1 4 57415.0 2150 57.445 12 1 1 1 0 29969.0 2151 48.611 16 0 1 2 6 119750.0 2152 31.786 16 0 0 0 2 50320.0 2153 43.785 12 1 1 1 4 62783.0 2154 54.918 16 0 1 0 3 49404.0 2155 38.301 16 1 1 0 0 33253.0 2156 55.694 16 0 0 0 2 55964.0 2157 34.249 18 3 1 2 6 120674.0 2158 41.51 12 1 0 1 1 32430.0 2159 32.939 16 1 0 1 1 35979.0 2160 51.407 18 1 1 1 0 28595.0 2161 47.933 14 1 1 2 6 70962.0 2162 49.124 18 2 0 2 5 49576.0 2163 58.708 18 0 1 1 7 115854.0 2164 32.612 12 0 0 2 2 53708.0 2165 43.771 18 3 1 2 6 107555.0 2166 37.204 16 0 0 0 0 21448.0 2167 53.752 14 3 1 2 5 66081.0 2168 49.825 16 0 1 1 5 65111.0 2169 54.124 14 1 1 0 1 37345.0 2170 36.303 14 0 1 1 7 136190.0 2171 56.135 20 1 1 1 4 49956.0 2172 38.84 12 1 0 2 6 112196.0 2173 57.721 18 0 1 0 7 112667.0 2174 44.228 14 1 0 1 0 25059.0 2175 39.584 14 1 1 2 7 113145.0 2176 33.862 12 0 1 0 6 76904.0 2177 56.806 13 0 0 2 2 50698.0 2178 55.241 16 0 0 0 1 39280.0 2179 42.579 11 0 0 2 5 61506.0 2180 53.51 13 1 1 1 0 27519.0 2181 45.842 14 0 0 0 3 42365.0 2182 31.91 17 0 0 0 0 29391.0 2183 35.963 16 2 1 0 4 61294.0 2184 50.12 16 0 0 0 3 42836.0 2185 33.24 14 1 0 1 2 48858.0 2186 40.993 16 1 1 2 1 32109.0 2187 37.778 16 1 1 2 6 93248.0 2188 47.119 19 1 0 1 0 24871.0 2189 41.591 20 3 1 1 4 66921.0 2190 59.75 12 1 0 2 7 101388.0 2191 33.886 18 1 0 0 1 35134.0 2192 58.375 14 0 1 1 0 24133.0 2193 57.663 21 0 0 0 3 41319.0 2194 37.596 20 3 1 2 4 71356.0 2195 54.656 10 1 1 0 7 102244.0 2196 35.046 19 1 0 0 1 32609.0 2197 35.289 12 1 1 1 0 31794.0 2198 48.005 16 1 1 1 0 27785.0 2199 57.344 12 1 0 1 5 60525.0 2200 34.342 18 1 0 2 6 88319.0 2201 38.687 16 1 1 2 5 60714.0 2202 44.289 18 2 0 1 3 57488.0 2203 57.227 16 0 1 0 7 134431.0 2204 34.789 16 1 1 0 2 44297.0 2205 51.422 18 1 0 0 3 56865.0 2206 42.162 14 0 0 1 1 32440.0 2207 33.893 12 1 0 1 1 30353.0 2208 42.392 14 1 1 2 6 90403.0 2209 56.936 16 1 1 2 6 82163.0 2210 44.585 16 1 0 0 1 42707.0 2211 57.682 13 1 1 1 0 34071.0 2212 52.073 16 1 0 0 1 36455.0 2213 31.427 21 0 0 2 6 113032.0 2214 39.662 14 0 1 1 1 35091.0 2215 34.837 16 1 0 0 1 40288.0 2216 57.294 9 0 1 1 4 77098.0 2217 33.244 14 1 0 2 7 128373.0 2218 42.456 18 1 0 1 3 43234.0 2219 36.602 12 0 1 2 6 94135.0 2220 37.935 16 1 0 2 0 26435.0 2221 50.767 18 0 1 1 7 116496.0 2222 46.747 16 1 0 1 5 84845.0 2223 46.256 16 0 0 0 0 28383.0 2224 49.686 21 1 1 0 4 60652.0 2225 56.96 18 1 0 1 1 36101.0 2226 34.771 16 1 1 2 7 91751.0 2227 42.359 16 2 1 2 5 72984.0 2228 35.882 12 2 0 1 3 50930.0 2229 55.956 14 1 0 1 6 92566.0 2230 39.57 18 0 1 0 4 58310.0 2231 41.385 17 0 0 0 3 49049.0 2232 48.069 16 0 0 1 2 43507.0 2233 31.467 17 1 0 2 7 104368.0 2234 36.142 14 1 0 1 3 55765.0 2235 41.441 16 0 1 0 2 44422.0 2236 53.493 18 1 1 2 2 39491.0 2237 37.658 9 1 0 2 6 122613.0 2238 32.099 16 0 1 0 2 49790.0 2239 46.031 14 1 0 2 2 51037.0 2240 47.887 11 0 0 1 3 59868.0 2241 38.101 13 2 1 1 4 69525.0 2242 53.631 16 1 1 2 6 86169.0 2243 37.54 16 1 0 1 2 55395.0 2244 41.73 12 0 0 2 2 40968.0 2245 48.322 20 2 1 1 3 50530.0 2246 43.03 10 1 1 1 2 46327.0 2247 44.56 13 1 1 1 1 33159.0 2248 42.419 16 1 1 2 6 96040.0 2249 54.301 12 0 0 2 6 104844.0 2250 55.187 12 1 0 2 2 37599.0 2251 34.852 18 2 0 0 6 73147.0 2252 56.195 16 0 1 1 4 56226.0 2253 47.663 10 3 0 1 7 86647.0 2254 45.365 16 3 1 2 6 60281.0 2255 58.967 16 0 1 0 0 24725.0 2256 55.532 0 1 1 1 4 60694.0 2257 39.285 14 0 1 1 5 60544.0 2258 46.477 16 0 0 1 5 82642.0 2259 42.518 14 1 1 2 5 63373.0 2260 46.309 12 1 0 0 2 57812.0 2261 51.592 16 3 1 2 0 32401.0 2262 48.975 12 1 1 0 2 55637.0 2263 30.105 16 1 1 1 3 39261.0 2264 46.883 17 1 0 0 2 33892.0 2265 45.206 16 0 1 0 2 48022.0 2266 53.453 16 0 1 1 4 64817.0 2267 34.577 17 0 0 0 2 56382.0 2268 38.606 11 1 1 0 5 60458.0 2269 58.279 16 1 0 0 6 71613.0 2270 31.04 16 1 0 2 1 35417.0 2271 35.451 14 0 0 1 6 81330.0 2272 54.984 16 2 1 0 3 44910.0 2273 43.814 12 0 1 0 3 66977.0 2274 42.367 18 1 0 2 5 61835.0 2275 37.465 18 1 0 0 7 109562.0 2276 33.051 16 1 0 1 2 58153.0 2277 36.743 20 0 1 0 0 30553.0 2278 55.085 16 1 0 2 2 48537.0 2279 39.987 14 0 1 2 5 72126.0 2280 40.666 14 2 0 2 3 43103.0 2281 43.445 17 1 1 1 0 27402.0 2282 53.181 12 1 0 2 5 71708.0 2283 30.085 16 0 0 0 0 30322.0 2284 49.989 14 1 0 1 7 89439.0 2285 54.718 12 1 0 1 7 64828.0 2286 43.426 16 0 0 2 6 78752.0 2287 56.445 16 0 0 1 2 37292.0 2288 41.591 18 2 1 2 6 86668.0 2289 47.213 21 1 1 0 2 43858.0 2290 38.721 12 0 0 0 3 46085.0 2291 43.04 14 0 0 1 2 50536.0 2292 40.34 18 2 0 1 2 43828.0 2293 34.835 16 0 0 0 5 82601.0 2294 41.754 8 1 1 2 5 51053.0 2295 34.937 16 0 1 2 7 97095.0 2296 45.396 16 1 0 2 6 63425.0 2297 37.813 19 2 0 2 6 80130.0 2298 54.004 14 0 0 0 5 78925.0 2299 35.504 16 1 1 1 3 56717.0 2300 43.568 21 0 1 2 5 53985.0 2301 50.477 16 1 0 2 5 66772.0 2302 48.311 12 1 1 0 6 108628.0 2303 30.817 14 0 1 2 7 110693.0 2304 43.655 17 2 1 2 2 54224.0 2305 34.519 16 0 1 0 0 29363.0 2306 32.357 18 1 0 1 7 98508.0 2307 31.111 16 2 0 1 1 31477.0 2308 35.627 14 1 0 0 3 41500.0 2309 37.015 12 0 1 0 4 55771.0 2310 52.547 20 1 1 1 4 61773.0 2311 37.408 18 0 1 2 6 114457.0 2312 45.907 20 1 0 2 7 132573.0 2313 48.964 13 1 1 1 3 63598.0 2314 31.375 14 1 0 0 2 44292.0 2315 54.645 16 0 0 2 5 48602.0 2316 39.414 12 0 1 1 7 136468.0 2317 36.174 16 1 0 1 1 28960.0 2318 50.324 16 3 0 2 5 44979.0 2319 48.423 16 1 1 1 4 68252.0 2320 40.184 20 1 0 0 3 46325.0 2321 42.104 19 1 1 1 4 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7 115661.0 2741 30.118 8 0 1 2 0 31650.0 2742 44.224 18 0 1 1 0 20569.0 2743 39.686 9 1 1 2 5 57465.0 2744 38.676 17 3 1 1 3 50396.0 2745 49.026 12 0 1 0 3 56750.0 2746 58.626 14 1 0 1 5 92566.0 2747 45.48 12 1 0 2 5 59844.0 2748 33.798 14 1 1 1 4 64398.0 2749 49.253 21 1 0 1 1 34769.0 2750 56.865 16 3 0 2 5 63916.0 2751 31.193 12 1 0 2 2 49808.0 2752 53.032 18 1 1 1 6 91172.0 2753 51.151 13 1 1 0 3 51727.0 2754 49.758 12 1 1 0 1 32939.0 2755 40.372 16 1 1 2 5 67166.0 2756 42.836 12 0 0 1 2 49092.0 2757 54.875 20 0 0 1 3 51623.0 2758 50.255 16 0 0 2 0 24385.0 2759 36.919 16 0 1 0 6 120232.0 2760 55.222 12 1 1 1 0 22116.0 2761 50.135 14 1 1 1 6 105215.0 2762 33.889 18 0 1 2 6 110349.0 2763 35.114 14 1 0 2 6 106098.0 2764 39.728 16 1 0 0 3 46786.0 2765 35.75 20 3 0 1 1 37308.0 2766 38.56 16 2 0 2 6 118749.0 2767 44.909 20 1 0 1 1 35295.0 2768 45.462 20 1 1 0 3 60657.0 2769 47.55 12 1 1 1 1 36852.0 2770 30.913 14 1 0 0 1 32090.0 2771 46.059 16 2 1 2 2 36715.0 2772 36.545 14 1 1 0 6 94791.0 2773 37.69 12 0 0 0 1 40366.0 2774 34.677 12 0 0 0 2 55216.0 2775 42.292 16 0 0 0 2 41169.0 2776 36.101 14 1 0 1 7 147215.0 2777 38.928 21 1 0 2 2 47636.0 2778 50.542 12 0 1 0 4 60426.0 2779 43.869 12 0 0 2 2 53722.0 2780 38.968 20 0 1 1 1 38849.0 2781 40.04 20 1 1 1 3 43061.0 2782 53.772 20 1 0 0 3 50097.0 2783 46.42 14 1 1 1 4 58471.0 2784 42.7 14 0 0 0 1 44443.0 2785 38.503 16 1 0 1 3 65143.0 2786 31.84 14 0 1 1 4 48693.0 2787 37.542 12 0 1 2 5 87990.0 2788 59.951 12 0 0 1 2 45057.0 2789 43.178 14 0 1 2 6 99291.0 2790 41.535 13 1 0 0 6 86446.0 2791 37.559 13 0 1 1 3 49796.0 2792 34.344 17 0 1 1 7 109455.0 2793 55.268 14 1 0 0 3 66039.0 2794 42.032 12 1 0 2 7 88735.0 2795 42.039 13 1 1 2 5 68834.0 2796 36.703 17 1 1 2 6 94298.0 2797 30.053 12 1 0 2 0 23726.0 2798 35.818 8 1 1 2 7 135240.0 2799 49.128 12 1 0 2 6 108523.0 2800 49.635 16 1 0 2 5 60420.0 2801 31.704 16 1 0 2 1 32393.0 2802 30.769 12 1 1 2 2 53606.0 2803 31.593 16 1 0 1 5 71915.0 2804 45.852 18 1 0 2 6 84087.0 2805 46.854 16 1 1 1 1 27661.0 2806 52.01 12 1 1 0 2 46420.0 2807 43.678 12 1 0 0 1 32335.0 2808 55.146 16 0 1 1 1 30722.0 2809 35.206 14 3 1 2 6 128172.0 2810 45.595 14 0 1 1 3 50233.0 2811 38.409 12 1 0 0 6 109013.0 2812 51.877 14 1 1 1 3 47456.0 2813 48.687 12 1 1 2 7 96700.0 2814 40.739 17 0 1 1 3 54145.0 2815 35.581 20 0 0 0 6 110516.0 2816 52.682 17 0 0 0 2 42545.0 2817 52.356 20 1 1 1 1 34512.0 2818 56.143 16 1 1 2 5 69163.0 2819 56.11 14 1 0 0 2 42400.0 2820 58.146 16 0 0 2 6 100007.0 2821 49.227 14 1 1 2 6 97287.0 2822 41.756 16 0 0 1 0 26941.0 2823 38.215 19 1 1 1 1 30235.0 2824 48.094 16 3 0 0 3 51156.0 2825 50.985 16 1 1 0 1 35705.0 2826 41.262 18 3 1 2 3 48759.0 2827 54.866 12 0 0 1 3 68747.0 2828 40.045 12 0 0 2 0 33626.0 2829 51.194 16 0 0 1 3 59934.0 2830 52.921 12 1 0 1 2 43888.0 2831 30.545 18 0 0 2 7 124893.0 2832 54.606 16 0 1 1 1 31338.0 2833 31.879 18 1 1 0 6 87248.0 2834 57.527 12 1 1 2 6 110458.0 2835 35.862 16 0 1 1 0 25327.0 2836 34.002 16 2 1 1 1 34163.0 2837 34.42 13 1 0 0 2 46508.0 2838 42.099 12 1 0 0 2 57394.0 2839 54.052 12 1 1 1 6 111385.0 2840 59.52 16 1 1 2 7 102753.0 2841 52.776 17 0 0 2 5 63855.0 2842 34.659 16 1 1 1 1 45753.0 2843 43.195 16 0 1 2 5 48213.0 2844 40.344 16 1 0 2 1 39677.0 2845 48.202 12 0 0 1 3 53452.0 2846 45.687 18 1 1 2 5 66262.0 2847 58.734 20 3 1 1 3 61611.0 2848 44.093 14 3 1 0 6 64537.0 2849 45.529 12 2 0 0 3 57645.0 2850 41.557 16 0 1 2 7 111280.0 2851 43.1 16 1 0 0 3 62028.0 2852 51.497 18 1 0 1 0 29516.0 2853 57.819 14 1 1 1 3 40936.0 2854 39.709 16 2 1 1 4 63302.0 2855 51.461 18 1 0 1 2 51300.0 2856 44.351 18 1 1 2 7 133026.0 2857 44.19 12 2 0 1 1 33858.0 2858 38.393 14 1 1 2 6 112622.0 2859 31.915 20 1 0 1 0 26849.0 2860 41.753 12 0 1 0 7 71501.0 2861 32.281 16 0 1 2 3 56991.0 2862 37.29 16 1 1 0 1 30469.0 2863 52.243 21 1 0 0 3 67923.0 2864 39.093 16 0 1 1 0 26267.0 2865 39.118 14 1 0 0 3 49259.0 2866 37.713 12 0 0 1 1 37333.0 2867 52.52 12 0 1 2 0 30173.0 2868 44.415 16 2 1 2 1 38195.0 2869 41.782 16 3 0 1 3 56527.0 2870 34.578 18 0 1 2 1 41827.0 2871 51.869 19 0 0 2 5 56362.0 2872 44.688 16 1 1 0 6 109931.0 2873 30.296 17 0 0 1 1 35240.0 2874 45.316 12 0 0 1 2 48058.0 2875 31.982 14 0 0 2 5 82754.0 2876 33.668 13 1 0 0 2 46629.0 2877 53.18 13 2 0 0 0 27124.0 2878 48.913 16 1 1 1 5 85767.0 2879 33.211 16 1 0 2 5 57989.0 2880 50.025 12 0 1 2 6 105242.0 2881 36.168 16 2 1 0 5 77319.0 2882 52.084 16 1 1 2 0 26902.0 2883 54.979 12 0 1 1 1 39039.0 2884 57.716 16 0 0 0 5 86568.0 2885 57.17 16 0 1 0 1 31732.0 2886 41.214 16 2 1 0 4 63969.0 2887 33.685 12 2 0 2 5 52564.0 2888 38.907 17 2 0 1 1 33617.0 2889 49.568 16 1 0 2 6 103829.0 2890 39.07 20 0 0 0 3 43200.0 2891 44.524 18 3 0 2 3 56010.0 2892 54.714 12 1 1 1 7 94809.0 2893 48.181 21 1 1 0 2 45462.0 2894 51.083 12 0 0 0 7 96255.0 2895 47.35 16 1 0 2 7 134842.0 2896 30.547 14 1 1 1 3 52279.0 2897 58.419 12 1 0 1 2 44002.0 2898 39.828 14 0 1 1 1 32614.0 2899 34.078 11 0 0 1 0 28215.0 2900 48.159 16 1 0 0 1 35170.0 2901 44.373 14 0 1 2 1 46248.0 2902 51.486 13 1 1 0 5 68087.0 2903 36.439 13 0 1 2 5 81685.0 2904 35.812 18 1 0 0 0 29571.0 2905 35.304 13 1 1 0 3 46491.0 2906 59.64 18 0 1 1 3 60706.0 2907 45.383 16 0 1 1 2 50995.0 2908 49.47 16 1 0 0 2 51596.0 2909 49.384 13 1 1 1 2 44814.0 2910 40.493 12 0 0 0 5 71679.0 2911 39.122 16 0 0 1 3 47473.0 2912 42.97 16 1 0 0 5 79964.0 2913 35.669 0 0 0 1 6 103897.0 2914 53.728 16 0 1 1 0 25649.0 2915 38.01 14 1 0 2 0 34179.0 2916 57.547 14 0 0 1 3 47619.0 2917 39.305 17 0 0 0 2 44411.0 2918 59.343 16 0 0 1 0 21475.0 2919 49.525 16 2 1 1 0 30850.0 2920 53.623 10 1 0 2 2 49068.0 2921 37.576 12 1 1 2 7 100725.0 2922 49.776 12 1 0 0 1 40782.0 2923 59.036 18 2 1 2 6 93787.0 2924 47.301 16 1 1 2 7 108057.0 2925 53.603 8 1 0 2 0 32977.0 2926 36.551 8 1 1 2 6 110484.0 2927 57.458 13 1 0 0 3 55987.0 2928 35.513 16 0 1 1 4 69862.0 2929 52.181 16 1 0 0 3 44542.0 2930 30.119 18 0 1 0 2 40836.0 2931 32.901 16 1 1 0 1 38828.0 2932 49.369 8 1 1 2 7 122704.0 2933 59.205 14 1 1 1 1 41585.0 2934 48.35 12 0 0 1 1 38207.0 2935 35.046 16 1 0 2 1 28867.0 2936 57.789 14 3 0 1 0 33054.0 2937 47.288 11 1 1 0 1 41829.0 2938 34.54 16 1 0 1 1 37198.0 2939 56.317 13 1 1 0 6 102272.0 2940 32.821 14 1 0 2 5 72385.0 2941 33.894 11 1 0 1 2 56227.0 2942 49.761 12 2 0 1 0 27342.0 2943 40.416 16 2 1 0 5 56884.0 2944 34.241 18 0 1 0 1 42739.0 2945 35.65 14 3 0 2 3 58554.0 2946 40.148 18 1 1 1 1 33664.0 2947 36.002 18 0 1 1 1 41830.0 2948 56.461 16 0 1 1 4 65917.0 2949 59.087 20 1 0 2 1 34336.0 2950 52.687 19 2 0 1 6 69790.0 2951 40.897 17 1 0 2 1 41320.0 2952 58.13 18 0 0 0 1 48189.0 2953 46.592 12 0 0 2 0 26363.0 2954 40.235 16 1 0 0 1 32266.0 2955 43.12 19 1 1 0 4 69822.0 2956 41.592 11 0 0 2 1 39438.0 2957 52.137 12 0 1 0 3 63559.0 2958 36.228 12 0 1 2 1 41903.0 2959 56.722 13 0 1 1 3 58468.0 2960 38.446 16 0 1 1 5 76661.0 2961 56.06 13 2 0 0 5 82504.0 2962 47.734 12 1 1 2 6 125818.0 2963 43.824 20 1 0 2 5 79775.0 2964 41.2 16 2 1 2 7 116809.0 2965 41.329 16 1 1 2 5 64743.0 2966 34.809 19 0 1 2 6 122227.0 2967 40.326 20 1 1 2 5 63834.0 2968 53.008 16 0 0 1 1 37233.0 2969 42.213 13 1 1 0 0 29654.0 2970 34.815 16 1 1 1 0 27869.0 2971 49.361 16 1 1 0 4 75747.0 2972 48.953 16 0 0 1 6 76650.0 2973 58.288 12 3 0 2 1 34026.0 2974 43.049 12 2 1 2 5 59761.0 2975 47.476 21 1 0 1 0 35749.0 2976 34.472 14 1 0 0 0 26038.0 2977 53.459 12 0 0 2 6 75819.0 2978 50.976 16 0 0 0 1 36420.0 2979 55.215 16 1 0 2 7 126637.0 2980 31.925 12 1 0 2 6 113828.0 2981 46.245 16 1 0 0 3 52642.0 2982 36.025 9 1 1 2 6 82575.0 2983 48.279 14 2 1 2 7 132594.0 2984 47.155 16 1 0 1 6 68142.0 2985 45.048 12 0 0 2 5 59981.0 2986 53.618 16 0 0 2 7 103139.0 2987 59.96 12 0 1 0 6 93986.0 2988 37.745 16 0 0 0 6 82948.0 2989 49.007 14 0 1 2 6 105646.0 2990 42.717 18 1 0 1 3 61563.0 2991 48.613 16 1 0 2 7 99801.0 2992 40.264 16 0 1 1 2 39180.0 2993 52.034 12 1 0 2 3 39320.0 2994 42.718 16 1 0 1 0 32167.0 2995 57.531 16 1 0 0 0 28446.0 2996 56.596 14 0 1 2 6 112711.0 2997 59.379 14 1 0 1 0 29953.0 2998 36.709 12 2 0 1 1 42417.0 2999 51.441 18 0 1 2 6 101387.0 3000 54.995 14 1 0 2 7 107325.0 3001 43.961 16 1 1 2 5 66076.0 3002 59.645 12 0 0 2 6 125189.0 3003 36.043 14 1 1 2 6 90649.0 3004 35.492 18 0 0 1 0 33684.0 3005 45.232 18 1 0 1 2 44522.0 3006 34.704 20 1 1 1 1 35406.0 3007 51.169 18 0 1 0 6 100784.0 3008 39.601 12 0 0 0 7 125890.0 3009 42.39 12 0 0 0 7 79332.0 3010 45.861 18 1 0 2 3 45605.0 3011 44.92 16 0 1 2 5 72179.0 3012 45.268 12 1 0 2 0 27878.0 3013 55.973 18 0 1 0 4 66434.0 3014 55.788 16 1 0 0 7 73306.0 3015 42.878 18 2 1 0 5 59918.0 3016 46.729 16 0 1 2 1 44179.0 3017 45.974 12 0 0 1 3 42908.0 3018 54.211 18 1 0 0 1 33170.0 3019 30.043 16 0 1 1 1 32036.0 3020 55.559 12 1 1 1 6 97641.0 3021 40.592 14 1 1 1 1 36747.0 3022 59.271 16 1 0 0 2 40515.0 3023 38.378 14 3 0 2 5 61560.0 3024 55.678 9 0 1 1 2 44312.0 3025 50.791 16 1 0 1 5 60671.0 3026 44.764 12 0 1 1 4 56344.0 3027 31.8 18 1 1 2 3 58308.0 3028 40.078 14 0 0 0 3 45423.0 3029 58.826 12 0 0 1 0 29316.0 3030 40.948 16 1 1 1 0 25434.0 3031 33.478 17 0 1 1 0 28068.0 3032 47.803 17 1 0 1 3 51182.0 3033 44.589 16 0 0 0 3 61626.0 3034 40.289 12 1 0 0 1 44612.0 3035 51.854 14 0 1 1 3 51106.0 3036 52.265 12 1 1 1 0 23945.0 3037 40.605 12 0 1 0 4 62326.0 3038 48.539 16 3 1 0 6 84510.0 3039 32.836 16 0 1 1 4 60180.0 3040 35.79 16 1 0 0 2 45965.0 3041 50.671 16 1 0 1 2 51049.0 3042 44.528 16 2 0 0 1 30724.0 3043 57.413 14 1 1 2 6 101013.0 3044 55.974 18 0 0 2 5 71533.0 3045 39.996 20 1 1 0 7 76081.0 3046 47.326 11 1 1 1 4 68683.0 3047 32.395 14 0 0 0 2 47795.0 3048 31.581 17 1 1 2 6 101741.0 3049 32.217 12 0 0 2 6 62071.0 3050 53.568 16 0 1 2 5 63651.0 3051 58.245 11 1 1 2 6 103598.0 3052 33.612 18 1 0 0 3 48439.0 3053 43.042 14 0 0 2 3 48452.0 3054 54.846 14 1 1 2 6 100040.0 3055 32.349 14 1 0 0 3 45501.0 3056 52.224 16 0 1 0 5 63971.0 3057 52.786 16 1 1 0 6 96092.0 3058 35.102 18 0 1 0 4 77911.0 3059 33.475 16 1 1 2 0 34763.0 3060 46.62 16 2 0 2 5 55235.0 3061 50.481 12 1 1 0 4 45311.0 3062 39.141 17 1 0 0 3 46119.0 3063 34.405 18 0 1 1 1 33389.0 3064 46.913 14 1 0 1 0 21374.0 3065 32.177 17 0 1 0 3 63572.0 3066 44.57 14 1 1 1 1 41543.0 3067 48.589 18 1 1 0 3 48488.0 3068 42.667 16 1 1 2 1 42177.0 3069 54.531 16 1 1 1 2 47499.0 3070 44.124 12 1 0 1 2 46274.0 3071 48.313 19 2 1 1 4 73663.0 3072 30.033 16 1 0 0 0 35064.0 3073 40.303 18 1 0 2 1 37826.0 3074 59.24 16 0 1 0 1 30544.0 3075 45.616 12 1 0 1 0 26062.0 3076 58.007 14 1 1 0 4 60994.0 3077 38.227 16 0 1 2 3 50006.0 3078 36.31 21 1 1 1 7 112054.0 3079 50.876 16 0 1 1 0 30576.0 3080 36.125 14 1 0 1 3 55130.0 3081 43.062 18 3 1 2 6 72565.0 3082 46.627 16 1 0 1 3 46318.0 3083 59.419 14 0 1 2 7 149856.0 3084 44.258 16 1 1 1 5 75085.0 3085 34.112 16 0 0 1 3 66154.0 3086 42.009 18 0 1 0 3 52029.0 3087 56.737 12 0 1 1 4 75816.0 3088 52.77 14 1 1 1 7 142933.0 3089 52.125 0 1 0 1 5 50114.0 3090 37.443 18 0 1 2 5 59706.0 3091 45.615 16 0 1 0 1 44461.0 3092 46.312 14 1 0 0 1 40047.0 3093 53.058 14 1 1 1 3 57283.0 3094 43.012 16 0 0 0 4 57311.0 3095 30.197 14 2 0 0 4 65135.0 3096 33.95 13 2 0 1 1 45061.0 3097 47.948 16 1 1 1 7 111680.0 3098 49.913 16 0 0 1 5 71368.0 3099 54.411 11 1 0 2 5 55105.0 3100 33.796 14 1 0 1 0 25172.0 3101 50.579 16 1 1 2 6 78997.0 3102 37.859 16 0 0 2 2 53852.0 3103 38.02 16 0 0 0 2 52594.0 3104 40.48 16 1 1 1 3 55242.0 3105 41.499 12 1 0 2 1 33895.0 3106 58.324 14 2 1 0 6 83468.0 3107 33.228 16 1 1 1 3 55111.0 3108 36.87 16 1 0 1 7 92202.0 3109 46.843 16 1 1 0 0 23772.0 3110 43.256 16 1 1 1 4 62622.0 3111 39.075 16 0 0 2 1 41737.0 3112 57.548 10 0 0 0 3 44580.0 3113 34.387 13 0 1 1 3 58305.0 3114 40.254 16 1 1 2 5 86353.0 3115 38.37 13 1 0 2 5 62716.0 3116 51.981 14 0 0 1 1 32447.0 3117 45.098 13 2 1 1 4 55328.0 3118 32.101 20 0 0 2 5 64325.0 3119 55.74 18 3 1 2 7 116948.0 3120 57.063 13 1 1 1 5 47087.0 3121 49.855 14 0 1 0 5 76221.0 3122 54.313 12 1 1 0 7 115414.0 3123 40.904 16 1 1 2 6 77456.0 3124 52.812 19 1 1 0 0 32339.0 3125 30.24 12 0 0 0 1 31398.0 3126 50.694 16 1 1 0 0 26489.0 3127 41.581 18 1 1 0 6 107657.0 3128 40.336 16 1 0 2 7 135008.0 3129 35.247 16 2 0 2 1 46438.0 3130 56.632 17 1 0 2 3 46867.0 3131 45.884 12 1 1 2 5 62277.0 3132 52.82 16 0 0 0 3 50201.0 3133 35.863 18 1 0 2 3 55715.0 3134 53.582 16 0 0 0 2 57852.0 3135 34.288 16 0 1 2 6 93417.0 3136 52.904 12 2 0 0 3 62905.0 3137 38.895 12 2 0 2 2 43043.0 3138 43.433 20 0 0 1 1 34996.0 3139 50.729 12 0 1 2 6 108918.0 3140 42.367 16 1 0 1 5 69977.0 3141 31.142 16 1 0 0 6 79265.0 3142 47.284 17 1 1 0 4 75216.0 3143 49.213 13 0 1 2 2 50159.0 3144 50.055 18 0 1 2 1 32712.0 3145 49.359 13 3 1 0 2 51411.0 3146 56.723 17 1 1 1 7 96905.0 3147 45.628 20 1 0 0 3 65219.0 3148 39.109 16 0 1 1 0 27088.0 3149 59.297 16 2 0 1 0 26358.0 3150 48.262 18 0 1 1 0 32806.0 3151 49.445 16 0 0 1 1 34607.0 3152 35.254 12 2 0 2 1 44140.0 3153 49.826 18 1 1 0 6 106117.0 3154 50.806 12 2 1 2 5 59295.0 3155 37.829 12 1 0 2 0 26942.0 3156 56.22 14 1 0 0 3 51174.0 3157 39.436 12 0 0 2 7 102239.0 3158 59.753 20 3 0 2 1 28071.

id age00 education marital gender ethnic industry income00 0 34.629 12 0 0 2 4 52533.0 1 48.403 16 1 1 1 0 29507.0 2 50.327 14 1 1 2 7 122156.0 3 45.059 11 1 1 1 2 53249.0 4 59.616 16 0 1 0 4 75917.0 5 38.149 16 1 1 0 4 81456.0 6 39.728 14 1 1 0 6 79712.0 7 40.735 14 0 1 1 3 52545.0 8 41.527 14 2 0 1 2 43000.0 9 44.089 16 1 0 1 3 70149.0 10 49.191 16 1 1 1 6 81328.0 11 49.933 16 3 0 0 1 30238.0 12 53.792 16 3 0 2 7 116711.0 13 51.252 18 1 1 2 2 42236.0 14 44.117 21 1 0 2 7 112518.0 15 41.415 16 2 0 1 3 38306.0 16 57.094 12 0 1 2 3 53730.0 17 54.776 18 1 1 0 1 31902.0 18 37.528 14 0 1 2 3 65531.0 19 43.026 16 0 1 2 2 39490.0 20 38.185 12 1 1 0 1 43079.0 21 59.764 16 0 0 2 2 53746.0 22 44.752 14 0 1 2 5 62651.0 23 32.271 16 3 1 0 6 79787.0 24 55.861 16 1 0 2 4 70602.0 25 50.098 12 1 1 2 2 42077.0 26 47.108 14 1 1 2 5 88573.0 27 46.441 14 1 1 2 7 97291.0 28 33.557 20 1 0 0 5 88694.0 29 39.921 16 0 1 0 3 59825.0 30 49.307 18 2 1 0 6 71658.0 31 55.276 12 1 1 2 1 31737.0 32 42.628 16 0 1 1 7 114757.0 33 38.186 16 0 1 0 0 32761.0 34 55.452 19 1 0 2 2 51240.0 35 44.911 17 0 0 0 1 36566.0 36 49.521 12 2 0 2 0 25063.0 37 31.25 14 0 1 0 0 29524.0 38 47.34 16 0 1 0 5 55727.0 39 33.08 16 0 1 1 5 57224.0 40 45.136 12 0 1 1 6 66065.0 41 47.347 13 0 0 1 6 89859.0 42 47.849 18 3 0 1 1 35313.0 43 44.347 16 0 1 2 4 67574.0 44 51.762 19 0 0 0 2 40387.0 45 43.595 16 1 1 1 2 48224.0 46 52.656 14 1 0 0 7 158204.0 47 40.797 16 1 0 2 7 156039.0 48 50.814 14 1 0 2 0 22275.0 49 42.964 18 1 0 2 6 67330.0 50 48.903 16 1 0 1 5 70844.0 51 39.789 18 0 1 1 0 23721.0 52 36.121 17 1 1 2 3 48820.0 53 50.708 12 1 0 1 0 21190.0 54 44.478 14 1 1 2 1 29243.0 55 38.518 14 0 0 2 3 61842.0 56 39.385 16 1 0 0 3 52711.0 57 34.026 12 0 1 2 5 76889.0 58 35.393 12 3 0 0 6 81109.0 59 32.339 16 1 1 2 0 28834.0 60 45.196 14 2 0 1 7 124669.0 61 33.502 14 2 1 1 3 48422.0 62 51.827 12 0 1 0 0 25186.0 63 41.996 17 1 1 1 6 116970.0 64 58.54 14 1 1 1 0 27218.0 65 58.279 16 1 0 2 3 53751.0 66 48.88 16 1 0 2 1 31644.0 67 57.013 14 1 1 2 0 25386.0 68 42.255 16 1 1 0 0 25621.0 69 37.279 17 0 1 0 6 105758.0 70 54.455 16 1 0 2 0 23731.0 71 32.07 16 1 1 0 0 31668.0 72 50.162 21 1 1 2 7 106141.0 73 55.253 16 1 1 2 0 36083.0 74 34.73 13 0 1 0 3 52236.0 75 32.786 16 1 1 1 3 54014.0 76 50.176 12 1 0 2 5 70945.0 77 57.099 16 1 1 1 0 27843.0 78 45.104 12 0 0 2 1 31718.0 79 31.386 12 0 0 0 0 25461.0 80 45.55 9 1 1 1 3 63663.0 81 58.772 12 2 0 2 2 55767.0 82 37.207 16 2 0 0 6 60908.0 83 40.837 13 1 0 2 4 61118.0 84 50.066 21 1 0 2 7 102450.0 85 50.781 14 2 0 2 0 34077.0 86 45.163 16 1 1 0 3 47409.0 87 40.186 21 2 1 1 1 28787.0 88 59.372 0 2 0 1 5 67425.0 89 58.378 16 1 1 0 1 40638.0 90 36.604 12 1 0 0 7 133384.0 91 42.064 16 0 0 2 3 50667.0 92 44.603 14 1 1 0 5 56137.0 93 33.859 12 0 1 1 0 27366.0 94 51.263 17 1 0 1 4 55189.0 95 36.388 9 2 0 0 6 125009.0 96 54.867 14 1 0 1 6 107394.0 97 55.043 16 0 0 1 1 33412.0 98 34.039 12 1 0 2 6 71946.0 99 48.122 16 1 1 0 4 75679.0 100 42.22 14 1 0 2 1 26290.0 101 43.219 16 3 0 1 0 30976.0 102 31.695 16 1 1 1 0 27537.0 103 38.522 16 3 0 2 0 28700.0 104 46.277 17 1 0 2 4 54785.0 105 30.403 16 1 0 1 4 75918.0 106 51.755 16 1 0 0 5 60206.0 107 35.902 12 1 1 1 1 40751.0 108 58.536 17 1 1 2 4 73133.0 109 33.089 12 1 0 2 6 91282.0 110 34.185 18 1 0 1 2 49295.0 111 35.755 19 0 1 1 7 84023.0 112 44.703 12 0 0 1 7 117959.0 113 45.983 12 0 0 2 1 35159.0 114 36.771 12 1 0 0 6 84099.0 115 48.813 17 1 1 0 6 63355.0 116 55.149 16 3 0 0 3 52216.0 117 40.979 12 1 0 1 6 107920.0 118 32.629 19 2 0 2 0 27935.0 119 34.51 18 2 1 0 1 35030.0 120 54.618 14 1 0 0 7 123832.0 121 35.776 18 0 0 1 1 46755.0 122 56.162 14 1 0 1 1 33787.0 123 50.957 14 1 1 2 0 27332.0 124 42.139 16 1 1 1 2 40932.0 125 43.403 18 0 1 0 6 90550.0 126 50.737 16 1 0 2 7 139005.0 127 52.137 16 0 1 0 0 25961.0 128 56.996 18 2 1 0 0 30390.0 129 47.353 16 2 1 2 2 44254.0 130 30.178 14 1 1 0 5 63987.0 131 45.854 16 3 0 1 3 63258.0 132 31.327 16 1 1 1 2 42001.0 133 36.67 12 0 1 0 2 40501.0 134 44.389 16 1 1 2 7 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25637.0 668 59.653 21 1 0 1 5 52651.0 669 45.928 16 0 1 2 3 50305.0 670 49.426 16 1 0 1 0 25168.0 671 33.233 16 3 0 1 1 30593.0 672 43.194 13 1 1 1 2 50640.0 673 44.469 13 2 1 1 6 112274.0 674 46.545 16 1 1 2 1 38080.0 675 42.831 18 1 1 1 1 41568.0 676 51.896 16 1 0 0 2 52545.0 677 44.522 16 1 0 0 2 41028.0 678 32.091 14 1 1 0 0 23458.0 679 57.352 16 1 1 1 1 26153.0 680 55.582 12 1 0 1 7 156957.0 681 49.603 14 2 0 0 4 67057.0 682 40.289 16 1 0 2 6 110860.0 683 49.371 17 1 0 1 1 31212.0 684 37.623 14 0 0 2 7 148732.0 685 47.788 16 1 0 1 1 41907.0 686 46.395 12 0 0 1 6 69371.0 687 43.402 16 0 0 1 6 89077.0 688 48.356 16 0 0 0 1 40169.0 689 48.271 16 2 1 1 6 105662.0 690 37.143 13 0 1 2 6 121357.0 691 37.673 14 3 0 1 5 45490.0 692 40.846 10 1 1 2 2 35738.0 693 50.917 16 0 1 0 4 64578.0 694 50.661 12 1 0 1 2 54357.0 695 55.825 14 1 0 0 3 55064.0 696 36.287 16 3 0 2 3 57722.0 697 39.847 16 0 0 2 4 74413.0 698 36.513 16 0 1 2 1 38179.0 699 38.502 12 1 0 1 0 24032.0 700 46.641 17 0 1 0 5 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36.462 18 2 0 1 3 58386.0 735 38.358 16 1 1 0 1 32283.0 736 44.117 16 1 0 1 3 67535.0 737 45.181 20 0 1 0 5 50002.0 738 44.805 18 0 1 0 6 99315.0 739 55.163 17 0 0 0 2 51729.0 740 50.734 20 1 0 2 7 91917.0 741 36.499 17 1 0 0 3 68355.0 742 34.693 17 2 1 1 5 78449.0 743 45.048 13 1 0 0 6 104878.0 744 32.517 16 0 1 2 2 40876.0 745 38.801 16 1 1 1 0 21028.0 746 48.814 16 1 1 0 3 58563.0 747 45.363 16 2 0 0 0 22996.0 748 30.71 13 0 0 1 4 67426.0 749 38.172 16 0 1 1 3 47804.0 750 59.594 14 0 1 1 4 61153.0 751 36.255 17 1 0 1 3 62074.0 752 45.373 16 2 1 2 6 91811.0 753 59.906 12 0 1 0 0 21644.0 754 48.481 12 1 0 0 6 98367.0 755 43.111 14 0 1 0 1 43993.0 756 54.207 16 0 0 2 3 65002.0 757 38.372 16 0 1 2 5 63893.0 758 31.418 12 2 0 0 7 111685.0 759 42.035 12 0 1 1 0 31566.0 760 43.486 17 2 0 0 1 32043.0 761 48.332 16 0 0 2 0 27734.0 762 46.345 16 0 1 2 6 111675.0 763 35.227 16 1 1 1 5 70470.0 764 44.633 12 0 0 2 5 60507.0 765 50.629 21 1 1 0 0 29072.0 766 55.016 16 0 1 0 6 68254.0 767 30.055 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47.164 12 1 1 2 3 59839.0 835 57.68 16 0 0 2 6 76115.0 836 44.391 13 2 0 1 5 72005.0 837 55.897 12 1 0 2 6 94781.0 838 47.262 8 1 1 2 6 116649.0 839 43.188 16 0 0 1 4 65334.0 840 42.817 12 0 1 1 6 107599.0 841 32.22 16 1 0 0 2 46084.0 842 37.931 12 1 0 2 4 50175.0 843 40.125 20 0 1 0 6 100903.0 844 36.474 12 0 0 0 4 48307.0 845 47.617 16 2 0 2 2 45022.0 846 54.591 12 1 0 0 1 42420.0 847 30.274 16 0 1 0 3 42221.0 848 58.433 13 0 0 0 6 68050.0 849 41.03 16 0 1 0 6 90399.0 850 37.508 18 2 1 1 0 25744.0 851 56.83 18 1 0 2 7 111080.0 852 58.349 16 0 1 2 5 60964.0 853 45.243 14 1 1 1 4 58957.0 854 44.268 18 0 1 1 3 58193.0 855 45.404 16 0 0 2 4 59708.0 856 33.617 16 0 1 2 2 54888.0 857 45.441 16 1 1 1 2 49057.0 858 40.984 17 0 0 2 6 93867.0 859 38.097 14 1 0 2 6 70997.0 860 57.995 14 0 1 1 6 99687.0 861 33.014 14 1 0 0 3 55741.0 862 33.607 18 1 0 2 1 40016.0 863 48.608 18 0 1 2 7 116594.0 864 59.605 14 3 0 2 6 117865.0 865 45.383 18 2 0 1 0 25072.0 866 34.173 11 0 0 0 6 88886.0 867 39.046 16 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934 45.035 13 0 1 1 0 23484.0 935 35.771 18 1 0 0 1 36689.0 936 32.032 16 1 0 0 4 54067.0 937 30.73 18 1 0 2 6 70878.0 938 59.915 14 1 0 2 7 119049.0 939 39.535 17 0 1 1 5 89192.0 940 37.865 19 2 0 0 7 98412.0 941 53.394 16 1 1 1 5 48869.0 942 35.933 18 1 0 1 4 47206.0 943 39.759 16 1 1 0 5 62151.0 944 55.541 14 1 0 0 1 34463.0 945 45.242 18 1 1 1 5 91234.0 946 49.395 16 2 1 1 1 37938.0 947 45.091 18 1 0 2 1 41161.0 948 38.155 8 1 1 0 2 49553.0 949 43.082 13 0 1 1 7 104044.0 950 34.344 16 1 0 2 2 36927.0 951 47.062 12 1 1 0 0 21084.0 952 35.427 16 1 1 2 7 123165.0 953 48.843 16 0 1 1 0 31277.0 954 57.804 18 1 1 0 2 43626.0 955 36.961 18 3 0 2 3 48414.0 956 40.125 16 0 0 1 3 70183.0 957 37.221 12 1 1 2 1 37011.0 958 33.001 17 0 1 1 1 33427.0 959 32.106 16 2 1 2 2 52095.0 960 44.86 16 1 0 0 4 53033.0 961 31.762 16 1 1 1 3 57582.0 962 42.364 16 1 1 2 5 75919.0 963 36.089 20 2 0 0 1 43228.0 964 32.811 16 1 1 0 2 49542.0 965 41.267 16 2 1 0 4 63022.0 966 59.92 18 0 1 2 5 66162.0 967 43.045 14 0 0 1 6 100566.0 968 43.438 16 2 1 2 6 80526.0 969 36.138 11 0 0 2 7 139110.0 970 35.328 13 0 1 0 1 36710.0 971 54.432 16 1 1 0 1 37200.0 972 59.661 16 0 0 2 7 107932.0 973 43.881 12 0 0 0 4 67397.0 974 56.79 16 1 1 2 7 113132.0 975 40.948 14 1 0 2 6 72529.0 976 32.527 20 2 0 0 6 112184.0 977 55.246 13 0 1 2 3 52409.0 978 38.22 16 1 1 1 0 22079.0 979 51.652 12 0 1 2 1 41051.0 980 41.317 22 1 1 0 0 24069.0 981 36.655 12 0 1 1 1 40749.0 982 31.738 12 1 1 2 7 144634.0 983 42.482 16 1 1 0 4 47946.0 984 57.32 16 1 1 2 7 139587.0 985 51.548 17 0 1 0 3 51767.0 986 33.608 12 2 1 1 3 60285.0 987 36.523 12 0 0 1 4 67786.0 988 47.041 16 0 1 1 3 59205.0 989 47.125 17 1 1 0 1 42989.0 990 44.375 12 0 0 0 2 44114.0 991 33.742 12 0 0 2 6 73640.0 992 39.47 9 1 1 1 1 44476.0 993 59.378 17 1 0 2 1 32248.0 994 40.739 18 0 0 2 0 26504.0 995 40.523 16 1 0 0 6 117515.0 996 42.895 14 2 1 2 5 71180.0 997 55.46 16 1 1 2 1 46312.0 998 59.644 12 0 0 0 6 83959.0 999 32.022 17 3 0 2 5 74272.0 1000 51.986 20 3 1 1 5 65235.0 1001 54.698 17 1 0 1 3 58033.0 1002 33.394 16 1 0 1 0 30890.0 1003 35.88 14 1 0 2 4 65806.0 1004 48.868 18 1 1 0 7 125745.0 1005 59.135 17 2 1 0 6 108658.0 1006 38.926 13 2 0 1 3 48372.0 1007 33.259 12 1 1 1 3 52433.0 1008 51.659 12 1 1 0 5 82619.0 1009 50.615 22 0 1 2 2 46804.0 1010 35.051 16 0 1 0 2 36484.0 1011 53.276 14 1 1 2 6 90286.0 1012 41.147 12 1 1 0 5 53300.0 1013 41.955 13 1 1 1 5 62583.0 1014 46.215 16 0 1 2 0 29880.0 1015 33.54 12 1 1 0 2 53356.0 1016 39.591 16 1 1 1 1 38164.0 1017 50.579 12 0 0 1 0 25634.0 1018 36.3 14 0 0 0 5 52541.0 1019 33.231 19 0 1 2 2 51442.0 1020 46.024 20 2 0 1 6 122193.0 1021 58.634 12 1 1 0 0 29170.0 1022 58.997 12 1 1 2 6 92795.0 1023 32.946 13 0 0 2 1 32505.0 1024 38.276 16 0 1 2 0 25008.0 1025 44.225 16 1 1 1 1 34560.0 1026 49.505 14 0 0 2 2 45882.0 1027 41.464 16 1 1 2 5 46214.0 1028 30.798 13 1 1 1 0 29807.0 1029 38.409 17 1 1 1 4 51412.0 1030 49.315 19 1 0 0 0 26397.0 1031 31.177 12 1 1 0 0 27801.0 1032 48.33 18 1 1 1 5 69579.0 1033 36.406 14 1 1 2 5 78397.0 1034 41.347 12 0 0 2 0 27657.0 1035 53.222 18 1 1 0 4 67493.0 1036 44.02 18 1 1 2 6 81461.0 1037 42.247 12 0 1 1 3 50171.0 1038 47.981 14 1 0 2 3 51816.0 1039 32.897 12 2 0 1 0 32799.0 1040 57.171 16 2 0 2 3 65309.0 1041 37.73 14 3 0 2 5 81981.0 1042 38.346 18 1 0 0 2 41461.0 1043 36.573 18 0 0 1 3 59983.0 1044 40.269 12 1 0 1 4 58182.0 1045 35.573 16 0 0 0 6 108921.0 1046 40.788 12 1 1 1 2 39445.0 1047 51.249 14 1 1 2 1 33040.0 1048 44.062 16 0 0 0 7 114918.0 1049 45.886 16 1 0 2 1 29160.0 1050 56.343 12 3 0 2 3 53152.0 1051 30.178 16 1 0 0 6 97702.0 1052 53.441 14 1 0 2 3 64620.0 1053 39.987 18 0 0 2 1 29962.0 1054 51.045 13 1 0 0 5 57147.0 1055 35.228 20 1 0 2 2 51989.0 1056 54.599 11 1 0 1 6 96816.0 1057 58.952 16 0 1 2 7 106450.0 1058 30.376 16 0 0 0 3 46179.0 1059 45.714 12 1 1 2 3 53117.0 1060 42.096 14 1 1 2 3 61180.0 1061 33.281 14 1 0 2 1 37309.0 1062 31.148 14 1 1 1 7 95897.0 1063 34.642 12 2 1 0 2 35696.0 1064 35.034 12 1 1 2 3 50057.0 1065 57.883 12 1 1 1 3 49645.0 1066 40.375 20 1 0 2 3 62100.0 1067 48.324 16 1 1 1 3 45855.0 1068 38.267 21 0 0 1 5 53484.0 1069 37.528 18 0 0 1 1 35717.0 1070 31.859 21 0 0 2 6 76733.0 1071 46.501 16 2 0 1 2 54530.0 1072 47.664 14 0 0 1 5 91842.0 1073 43.501 14 1 0 1 0 24985.0 1074 43.604 16 2 1 0 1 42443.0 1075 54.452 16 2 1 0 1 40683.0 1076 42.571 18 1 0 0 0 27994.0 1077 34.823 16 3 0 2 5 60117.0 1078 39.397 12 0 1 1 0 25065.0 1079 40.188 18 2 0 0 6 109378.0 1080 34.592 12 0 1 1 5 56428.0 1081 50.043 12 1 0 1 3 53824.0 1082 55.608 12 2 0 0 6 106429.0 1083 30.956 14 2 0 1 1 35878.0 1084 43.038 17 2 0 0 2 50780.0 1085 57.08 18 2 0 2 7 86802.0 1086 45.331 16 0 1 0 2 45016.0 1087 48.552 20 0 0 0 5 58864.0 1088 43.714 17 0 0 0 0 31504.0 1089 39.368 13 1 0 1 5 75941.0 1090 36.415 16 1 0 0 2 44900.0 1091 31.502 16 3 0 0 0 35629.0 1092 32.157 14 0 0 0 3 51772.0 1093 45.387 16 2 1 2 7 95197.0 1094 52.043 16 0 1 0 1 33694.0 1095 48.394 13 0 0 2 1 33195.0 1096 58.889 20 1 1 2 5 79965.0 1097 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55.892 18 0 1 2 4 64837.0 1582 47.816 13 1 0 2 5 68031.0 1583 31.861 14 1 1 0 4 70426.0 1584 51.468 17 1 1 0 2 50653.0 1585 49.641 14 0 1 0 3 57893.0 1586 53.579 12 0 1 0 6 103212.0 1587 48.682 20 2 0 1 3 53134.0 1588 31.481 17 1 1 0 4 67696.0 1589 36.171 13 0 1 0 2 37753.0 1590 36.761 13 1 0 1 0 28549.0 1591 36.774 12 0 1 1 1 40525.0 1592 31.892 0 0 0 1 6 110971.0 1593 46.763 22 0 1 0 3 47461.0 1594 38.795 16 0 1 0 1 36219.0 1595 40.313 16 1 1 1 6 67802.0 1596 36.694 16 0 0 1 1 33911.0 1597 52.665 12 3 0 0 4 56135.0 1598 45.699 16 2 0 1 6 120135.0 1599 53.158 21 0 0 0 2 36710.0 1600 47.417 18 1 1 2 5 66652.0 1601 53.166 14 1 0 1 3 61945.0 1602 58.623 16 2 0 2 2 52574.0 1603 45.285 16 0 1 1 6 100096.0 1604 33.903 14 1 1 1 2 54934.0 1605 46.48 16 1 1 0 6 96493.0 1606 37.104 14 0 1 2 1 39695.0 1607 58.337 16 0 0 2 0 28060.0 1608 53.029 14 0 1 1 1 26529.0 1609 51.854 12 0 0 1 6 115527.0 1610 33.81 16 1 0 1 3 63496.0 1611 58.515 9 1 1 2 5 43897.0 1612 39.914 14 1 1 0 4 63491.0 1613 50.343 16 1 0 2 2 54880.0 1614 55.894 16 2 0 2 1 43894.0 1615 34.471 16 0 1 0 6 109372.0 1616 39.758 12 0 0 0 2 49738.0 1617 53.379 13 0 1 1 2 44565.0 1618 43.263 16 1 0 0 1 30850.0 1619 41.241 14 1 1 0 6 117492.0 1620 33.374 17 2 0 0 1 29553.0 1621 30.086 16 1 1 1 2 42120.0 1622 42.95 18 3 0 2 2 39439.0 1623 37.035 16 0 0 2 1 36806.0 1624 57.853 16 1 1 2 2 47119.0 1625 46.582 16 0 0 1 3 50623.0 1626 40.424 14 0 0 0 6 121253.0 1627 44.411 12 0 0 2 5 69154.0 1628 35.856 16 1 1 2 4 60247.0 1629 47.13 12 1 0 2 1 33740.0 1630 46.512 12 1 1 2 5 81411.0 1631 57.604 13 1 1 2 2 52773.0 1632 48.361 16 0 1 1 1 41631.0 1633 40.805 13 0 1 2 5 82975.0 1634 36.546 16 0 1 1 1 30852.0 1635 51.677 12 1 0 0 5 46482.0 1636 54.826 12 1 0 0 5 68730.0 1637 35.305 14 2 1 1 6 113640.0 1638 59.069 16 0 1 0 2 35508.0 1639 39.73 16 1 0 1 2 37585.0 1640 36.225 18 0 0 1 2 57980.0 1641 46.227 17 1 1 2 4 61907.0 1642 46.733 16 3 0 2 1 31207.0 1643 49.342 16 0 1 2 1 41343.0 1644 51.101 20 0 1 0 5 73548.0 1645 30.858 20 1 0 0 6 105420.0 1646 35.586 20 1 1 0 1 32306.0 1647 32.075 14 1 0 2 1 28529.0 1648 56.856 16 1 1 1 6 124785.0 1649 33.765 17 0 0 0 6 61154.0 1650 37.694 14 0 0 2 6 66173.0 1651 47.726 13 2 0 0 5 83218.0 1652 32.799 14 2 1 0 5 72417.0 1653 47.448 16 0 1 0 0 27382.0 1654 55.97 16 1 1 2 3 41048.0 1655 32.577 19 0 1 1 0 32251.0 1656 58.027 14 1 1 0 4 60989.0 1657 44.946 20 1 0 2 5 65779.0 1658 43.359 12 0 0 1 5 83922.0 1659 55.563 18 1 0 2 2 41075.0 1660 35.725 18 1 0 2 3 48564.0 1661 51.01 16 2 0 2 4 48556.0 1662 34.038 20 0 0 2 3 46695.0 1663 43.27 12 1 1 1 6 64936.0 1664 45.127 16 2 0 2 6 124290.0 1665 42.754 14 1 1 1 3 44610.0 1666 39.818 20 2 0 1 5 62245.0 1667 50.528 18 1 0 0 4 58333.0 1668 37.256 18 0 1 0 6 131226.0 1669 36.857 14 1 0 0 4 79080.0 1670 38.798 16 1 1 2 0 34055.0 1671 31.325 14 0 1 0 7 116282.0 1672 31.624 16 0 1 2 7 109940.0 1673 44.321 21 1 1 2 2 44900.0 1674 49.774 16 2 0 2 0 28296.0 1675 48.163 16 0 0 0 2 47584.0 1676 44.833 13 1 1 2 2 44889.0 1677 56.913 21 0 0 0 3 64251.0 1678 41.298 13 1 1 2 1 31757.0 1679 53.439 21 0 1 1 3 63686.0 1680 47.45 18 1 1 1 4 47500.0 1681 35.917 12 0 1 2 0 34889.0 1682 35.608 16 1 0 1 4 49856.0 1683 41.905 16 2 1 0 4 60361.0 1684 56.215 10 1 1 0 7 144203.0 1685 31.046 13 1 0 2 1 36459.0 1686 58.176 16 1 1 2 6 114296.0 1687 38.976 16 0 0 0 3 53355.0 1688 40.423 18 1 0 1 2 45782.0 1689 30.765 16 1 0 0 1 40515.0 1690 51.097 16 1 1 1 6 83192.0 1691 45.91 16 0 1 0 4 54938.0 1692 58.574 16 1 0 2 3 62008.0 1693 51.356 17 0 1 0 2 43864.0 1694 41.122 17 2 0 2 5 67956.0 1695 33.391 16 2 1 2 4 58089.0 1696 49.17 13 1 1 2 4 65471.0 1697 47.04 16 1 1 1 3 39615.0 1698 35.371 12 1 1 2 3 51590.0 1699 49.284 13 0 1 2 1 32088.0 1700 53.504 18 3 0 0 1 31460.0 1701 43.466 17 0 0 1 1 38737.0 1702 40.025 18 1 0 2 3 50281.0 1703 31.888 14 0 1 1 4 53711.0 1704 40.707 19 1 0 2 0 34666.0 1705 46.51 16 1 0 1 2 43992.0 1706 45.836 18 0 1 2 2 47433.0 1707 54.955 17 1 1 0 2 54087.0 1708 37.683 12 1 0 0 6 112284.0 1709 47.046 12 1 1 0 5 60418.0 1710 39.017 16 1 1 2 3 57567.0 1711 54.337 16 0 0 1 0 32696.0 1712 46.994 12 0 1 0 3 51843.0 1713 49.676 16 0 0 1 0 26271.0 1714 57.91 11 1 0 1 3 49268.0 1715 42.272 16 1 1 2 7 113923.0 1716 30.042 22 0 1 0 1 30006.0 1717 39.939 14 1 1 2 7 123851.0 1718 54.885 17 3 0 1 6 91329.0 1719 32.536 11 1 0 0 1 31849.0 1720 32.663 14 1 1 0 7 152962.0 1721 33.093 12 1 0 1 5 61973.0 1722 44.556 14 1 1 2 3 55310.0 1723 35.979 12 0 0 0 6 126403.0 1724 37.896 18 0 0 0 5 56705.0 1725 40.594 16 1 0 2 1 34980.0 1726 50.987 18 1 1 1 3 44395.0 1727 59.782 14 2 0 2 7 137915.0 1728 52.232 16 0 1 1 4 57959.0 1729 40.021 16 0 0 2 5 66306.0 1730 38.068 16 1 1 1 5 60963.0 1731 30.473 16 1 0 2 1 35479.0 1732 31.838 16 1 1 1 5 73125.0 1733 53.076 16 1 0 1 5 54903.0 1734 35.537 14 0 1 2 0 31446.0 1735 35.277 12 0 0 2 6 91026.0 1736 44.38 16 1 1 1 2 47147.0 1737 51.032 20 1 0 2 3 60133.0 1738 34.745 22 0 1 1 2 39743.0 1739 42.441 16 2 1 0 2 37104.0 1740 58.7 12 0 1 0 1 29321.0 1741 53.206 12 1 1 0 3 42993.0 1742 50.41 16 0 1 0 2 53935.0 1743 32.285 20 0 1 2 1 43843.0 1744 53.009 13 1 0 2 0 22710.0 1745 31.207 14 0 0 2 4 75998.0 1746 37.124 14 3 0 0 7 105835.0 1747 48.595 18 1 0 1 2 54982.0 1748 40.041 13 0 0 1 6 78003.0 1749 59.098 12 1 0 0 0 31776.0 1750 46.588 13 0 1 0 5 77786.0 1751 34.05 17 2 0 1 3 58351.0 1752 56.991 18 2 0 1 6 55638.0 1753 45.293 12 0 0 2 4 63072.0 1754 46.194 12 0 0 0 5 71970.0 1755 46.819 20 1 1 0 5 74935.0 1756 58.87 12 1 0 2 3 46965.0 1757 32.465 12 1 1 0 6 86852.0 1758 37.861 10 1 1 2 2 43148.0 1759 52.034 12 1 0 2 2 36350.0 1760 30.756 20 0 0 2 7 99658.0 1761 56.078 13 1 1 0 1 46925.0 1762 33.863 16 0 0 1 5 63371.0 1763 52.305 20 0 0 0 6 98635.0 1764 40.439 18 1 0 1 2 52152.0 1765 35.717 16 1 0 0 0 33477.0 1766 43.88 8 1 1 0 6 83168.0 1767 34.387 12 2 1 1 2 51860.0 1768 39.61 20 1 1 2 5 83598.0 1769 48.949 12 3 0 1 6 92135.0 1770 46.298 18 1 1 1 3 52837.0 1771 43.213 12 0 1 1 3 56353.0 1772 57.192 17 1 1 2 6 104577.0 1773 38.31 14 1 1 0 7 113566.0 1774 55.602 14 1 0 1 4 62674.0 1775 50.195 16 1 1 0 5 83055.0 1776 46.133 16 0 0 2 1 35483.0 1777 46.437 16 0 0 1 0 23133.0 1778 55.163 14 0 1 0 1 35573.0 1779 37.846 16 1 0 0 4 62163.0 1780 54.685 18 0 1 1 1 39432.0 1781 44.618 11 3 1 1 6 92606.0 1782 58.109 18 1 0 0 2 45232.0 1783 51.653 18 1 0 1 6 112238.0 1784 58.328 13 3 1 1 4 60664.0 1785 53.353 18 0 1 2 0 23877.0 1786 32.38 18 2 1 1 2 33021.0 1787 30.065 16 1 0 2 7 98422.0 1788 30.95 18 0 0 2 6 103142.0 1789 32.667 16 1 1 1 6 85844.0 1790 50.097 14 1 0 0 0 27457.0 1791 54.317 13 1 1 2 6 103498.0 1792 42.861 18 0 0 0 6 110830.0 1793 36.628 16 1 1 0 4 74923.0 1794 45.91 18 0 1 2 5 65513.0 1795 32.546 12 1 1 1 2 39586.0 1796 40.8 12 0 0 2 6 64496.0 1797 39.75 19 1 0 2 1 29658.0 1798 47.5 18 1 0 2 6 90324.0 1799 40.076 16 0 1 2 5 56316.0 1800 32.761 16 1 1 1 3 50889.0 1801 34.952 18 0 0 2 6 99711.0 1802 50.879 16 1 0 0 4 62274.0 1803 43.672 12 0 1 2 6 122417.0 1804 43.218 18 0 1 0 7 127085.0 1805 40.713 13 1 1 1 4 58193.0 1806 41.916 14 2 1 2 2 48866.0 1807 38.267 16 0 0 2 3 50041.0 1808 59.772 9 0 1 0 2 35288.0 1809 53.204 12 1 1 0 6 107385.0 1810 56.664 19 1 0 1 4 52745.0 1811 39.142 18 1 1 1 0 27244.0 1812 33.25 14 0 1 0 1 29002.0 1813 39.246 20 1 1 1 0 34403.0 1814 45.448 17 1 0 2 1 30050.0 1815 30.24 12 1 0 0 2 43821.0 1816 48.34 12 1 0 0 2 57764.0 1817 36.54 13 3 1 0 1 31395.0 1818 33.166 18 0 1 1 2 38066.0 1819 54.948 13 3 0 0 3 47588.0 1820 58.207 16 0 1 1 3 69748.0 1821 46.243 20 1 0 0 5 58816.0 1822 45.742 14 1 1 1 3 43780.0 1823 46.884 13 1 1 2 4 61618.0 1824 40.832 19 1 1 0 7 98711.0 1825 52.847 12 1 0 0 5 66711.0 1826 46.809 16 0 0 0 4 61430.0 1827 52.165 14 1 1 1 2 47261.0 1828 59.298 19 2 1 0 2 46071.0 1829 55.8 20 1 0 1 5 88130.0 1830 32.412 13 1 0 1 2 46370.0 1831 53.435 12 1 0 0 1 43649.0 1832 52.366 14 1 1 0 1 38815.0 1833 47.159 12 0 1 0 1 27613.0 1834 41.203 14 1 0 2 4 68247.0 1835 36.364 12 1 1 0 4 56502.0 1836 55.644 14 1 1 2 5 77349.0 1837 30.893 14 0 1 0 3 47559.0 1838 47.826 16 3 0 1 5 74362.0 1839 54.227 14 1 1 0 0 29858.0 1840 46.698 12 3 1 2 6 90588.0 1841 40.436 12 0 1 0 4 57229.0 1842 52.716 12 1 0 0 7 76122.0 1843 56.707 16 1 0 0 1 31570.0 1844 30.407 12 1 1 2 2 41874.0 1845 50.909 12 0 0 0 3 48725.0 1846 32.932 14 0 1 1 4 64546.0 1847 46.178 16 0 0 2 0 35976.0 1848 33.885 14 0 1 0 0 35077.0 1849 40.696 12 0 1 0 6 83352.0 1850 54.698 16 1 1 2 4 73375.0 1851 55.517 16 1 0 2 5 77582.0 1852 43.046 14 1 0 0 7 124932.0 1853 37.454 11 0 0 2 3 52904.0 1854 37.425 14 1 1 0 3 42235.0 1855 33.745 14 2 0 0 2 45247.0 1856 55.544 18 2 1 2 5 59014.0 1857 37.882 16 1 0 0 6 68529.0 1858 32.659 12 0 1 0 4 58796.0 1859 47.49 17 1 0 1 4 50667.0 1860 42.289 16 2 0 1 6 87028.0 1861 59.215 21 0 0 0 4 45912.0 1862 59.119 12 0 1 2 6 124784.0 1863 44.272 16 0 1 2 3 47940.0 1864 31.783 18 1 0 0 4 66652.0 1865 38.137 16 3 0 2 2 46530.0 1866 31.893 18 1 0 2 6 84095.0 1867 58.491 18 1 0 0 7 107166.0 1868 32.492 16 0 1 2 4 79328.0 1869 34.909 14 1 1 2 1 37156.0 1870 54.582 12 2 0 0 3 51024.0 1871 44.837 16 0 0 0 6 109449.0 1872 40.12 16 1 1 2 6 111976.0 1873 38.79 18 1 1 2 3 57053.0 1874 41.184 18 1 0 0 5 68647.0 1875 40.884 18 1 0 1 0 32488.0 1876 50.882 12 2 0 1 2 41065.0 1877 52.475 16 0 1 2 1 31806.0 1878 55.081 16 1 0 0 6 96347.0 1879 36.102 12 1 0 2 2 49425.0 1880 31.369 16 2 1 1 0 28732.0 1881 51.451 18 0 0 1 6 85087.0 1882 54.637 16 1 1 2 0 28312.0 1883 47.982 12 1 1 2 1 32487.0 1884 38.044 14 1 0 2 4 72864.0 1885 38.858 14 1 0 2 3 50689.0 1886 34.4 16 0 0 0 6 90984.0 1887 50.918 12 1 0 2 7 109241.0 1888 40.172 16 0 0 0 2 41326.0 1889 52.67 12 0 1 2 6 104412.0 1890 57.723 18 1 0 2 4 57971.0 1891 33.256 12 1 1 1 4 58870.0 1892 31.173 8 1 1 2 7 102332.0 1893 38.395 13 1 1 1 7 136812.0 1894 30.51 16 2 0 0 0 23497.0 1895 47.432 12 1 0 1 2 45259.0 1896 59.729 13 1 0 1 3 45686.0 1897 43.795 12 0 0 1 6 108561.0 1898 33.398 16 0 0 1 7 144990.0 1899 46.68 12 0 0 2 4 67721.0 1900 31.976 16 1 0 0 6 112437.0 1901 32.763 18 1 0 1 4 69767.0 1902 46.68 20 1 0 0 6 76029.0 1903 39.379 11 3 0 1 1 34357.0 1904 33.939 16 0 1 2 7 127607.0 1905 35.506 16 1 1 1 3 54484.0 1906 42.111 13 1 1 1 5 65346.0 1907 35.977 16 1 1 0 1 35810.0 1908 43.113 14 0 0 2 2 58795.0 1909 41.573 14 0 1 0 1 30376.0 1910 37.45 16 1 1 2 0 32458.0 1911 57.835 12 0 1 2 7 125954.0 1912 49.45 16 1 1 1 3 61642.0 1913 40.724 16 0 1 1 3 69888.0 1914 37.223 14 0 0 0 1 43126.0 1915 53.366 12 1 1 2 7 144787.0 1916 49.484 17 1 0 0 5 81291.0 1917 43.092 16 0 1 1 5 75315.0 1918 37.209 18 1 1 2 3 52927.0 1919 49.247 13 0 0 2 6 71509.0 1920 39.784 13 3 0 0 1 33677.0 1921 44.002 13 1 0 0 1 33146.0 1922 43.116 17 1 0 1 1 33301.0 1923 31.364 14 1 0 1 1 26661.0 1924 52.797 21 3 0 2 0 20008.0 1925 43.612 18 1 1 2 6 87878.0 1926 30.425 17 1 0 0 3 63049.0 1927 44.591 20 1 1 1 6 62155.0 1928 33.531 18 0 0 0 3 44502.0 1929 53.162 21 1 0 0 0 26101.0 1930 31.9 16 0 0 2 0 25969.0 1931 34.333 14 1 1 2 4 67686.0 1932 40.244 14 1 0 0 3 54814.0 1933 42.598 13 0 0 1 0 26297.0 1934 52.355 18 3 0 0 2 47608.0 1935 31.12 14 0 1 0 5 76599.0 1936 48.192 14 1 1 2 1 36038.0 1937 40.453 14 1 0 0 5 61297.0 1938 53.613 16 0 0 0 2 53795.0 1939 44.219 16 1 0 1 4 70770.0 1940 38.256 16 0 0 2 2 40343.0 1941 55.653 16 0 1 0 7 119544.0 1942 45.785 16 1 0 1 1 30714.0 1943 54.151 16 1 0 0 5 55268.0 1944 32.619 18 1 0 2 2 40745.0 1945 52.21 12 0 1 2 1 34853.0 1946 39.35 12 1 1 0 1 43431.0 1947 53.358 13 1 1 0 6 93103.0 1948 31.767 13 0 1 1 1 40171.0 1949 31.269 16 0 1 1 3 54532.0 1950 58.561 14 0 1 2 0 30513.0 1951 53.831 16 0 0 1 7 111389.0 1952 57.951 14 0 1 2 7 83755.0 1953 44.901 12 2 0 0 2 44687.0 1954 44.791 16 0 0 0 3 45523.0 1955 31.944 0 0 0 0 2 41237.0 1956 31.735 16 2 1 1 3 41302.0 1957 39.68 16 0 0 2 7 141637.0 1958 55.804 14 1 0 0 6 127130.0 1959 31.918 16 2 0 1 2 41913.0 1960 50.744 16 0 1 2 7 106583.0 1961 36.28 12 2 0 1 3 48276.0 1962 54.478 16 1 1 2 2 49657.0 1963 39.055 14 1 1 1 1 38848.0 1964 47.721 12 0 1 0 2 40567.0 1965 31.744 12 1 0 0 7 128487.0 1966 44.783 21 0 1 2 0 26296.0 1967 38.798 17 3 0 1 1 28226.0 1968 43.536 8 1 1 0 2 34551.0 1969 51.141 12 2 1 0 0 22502.0 1970 34.487 16 0 1 1 2 43608.0 1971 33.938 14 1 0 1 2 45399.0 1972 44.738 12 1 1 0 2 42694.0 1973 39.401 14 0 1 2 1 30062.0 1974 56.332 16 0 1 1 1 30596.0 1975 40.109 14 1 0 1 1 32465.0 1976 39.693 17 0 1 1 2 54420.0 1977 41.278 14 0 0 2 5 66955.0 1978 35.716 11 0 0 1 3 66725.0 1979 30.456 17 1 0 2 1 44027.0 1980 53.044 14 1 0 2 6 95657.0 1981 40.734 20 1 0 0 4 71619.0 1982 43.285 12 2 0 2 5 70749.0 1983 46.292 21 0 1 1 6 88452.0 1984 31.459 12 0 0 0 4 61777.0 1985 44.801 13 0 0 1 5 65503.0 1986 34.786 19 1 0 2 1 34756.0 1987 43.089 13 1 1 1 6 115975.0 1988 46.52 12 0 1 0 6 97053.0 1989 34.3 16 0 1 2 7 145216.0 1990 54.306 16 1 1 1 6 93029.0 1991 48.198 16 1 1 1 6 83158.0 1992 31.378 21 3 1 2 2 40632.0 1993 51.899 12 1 0 1 7 78500.0 1994 44.406 16 1 1 1 1 42939.0 1995 57.899 14 0 0 1 6 101229.0 1996 49.056 16 1 1 1 5 75481.0 1997 34.226 14 1 0 1 3 39860.0 1998 52.665 16 1 0 2 6 109112.0 1999 48.772 12 0 0 2 0 29731.0 2000 45.645 14 1 1 0 0 30266.0 2001 36.466 14 1 1 2 5 73829.0 2002 37.854 21 2 1 2 6 102837.0 2003 43.817 16 2 0 0 4 75986.0 2004 56.786 0 1 0 1 7 150745.0 2005 49.922 16 1 0 1 2 41864.0 2006 57.451 12 0 1 0 5 71304.0 2007 40.288 12 1 0 1 0 30166.0 2008 31.134 12 0 0 1 3 42792.0 2009 42.113 17 1 1 1 1 34325.0 2010 34.467 14 0 1 1 0 25209.0 2011 48.391 12 1 0 2 5 57942.0 2012 47.541 16 1 0 0 1 36682.0 2013 58.816 16 1 0 0 0 30057.0 2014 42.221 12 0 0 0 6 81388.0 2015 52.941 20 0 0 0 6 73731.0 2016 46.57 14 0 1 1 5 68301.0 2017 30.545 18 1 1 0 1 30141.0 2018 40.517 16 1 0 2 4 51823.0 2019 37.783 12 0 1 2 6 80388.0 2020 44.581 16 0 1 2 2 56270.0 2021 57.283 17 0 1 0 2 49478.0 2022 47.24 12 1 0 0 1 30082.0 2023 49.51 16 1 1 0 4 55904.0 2024 34.681 16 0 1 1 1 38797.0 2025 42.066 18 1 1 2 6 87409.0 2026 47.31 19 1 1 1 2 47726.0 2027 56.914 16 1 1 2 7 157007.0 2028 52.001 16 1 0 1 5 76545.0 2029 46.418 16 0 1 1 1 34271.0 2030 45.553 17 0 1 2 6 73544.0 2031 56.345 16 0 1 2 5 73730.0 2032 50.121 20 0 1 1 5 58366.0 2033 43.538 16 0 0 1 6 60312.0 2034 37.911 16 1 0 2 0 34539.0 2035 54.549 18 0 0 1 6 90863.0 2036 33.25 16 0 1 2 3 63753.0 2037 37.576 14 1 0 2 5 78082.0 2038 44.756 18 0 1 0 1 31642.0 2039 53.011 12 2 1 2 0 23548.0 2040 38.99 16 0 1 0 4 72392.0 2041 48.705 14 1 1 2 2 43184.0 2042 52.901 14 1 1 0 3 50759.0 2043 52.024 19 1 0 2 0 30162.0 2044 58.512 16 0 1 0 6 74680.0 2045 58.874 16 0 1 1 3 55090.0 2046 54.717 14 1 1 2 6 62803.0 2047 47.516 16 2 0 0 3 55372.0 2048 35.184 14 0 1 2 6 110276.0 2049 31.937 16 1 1 1 2 38891.0 2050 51.992 14 0 0 1 0 29898.0 2051 37.59 16 1 0 1 1 28512.0 2052 46.421 13 1 0 2 5 56444.0 2053 53.509 18 1 0 1 2 43373.0 2054 41.223 16 0 0 2 0 25272.0 2055 40.73 16 1 0 0 5 55615.0 2056 43.215 14 0 1 1 6 70103.0 2057 54.86 18 0 0 0 5 50161.0 2058 34.397 21 1 0 2 7 158042.0 2059 46.314 16 1 1 0 1 29633.0 2060 30.531 16 1 0 2 0 27748.0 2061 44.978 12 1 0 1 4 60236.0 2062 32.339 16 0 0 1 0 23704.0 2063 53.424 14 1 1 2 3 63983.0 2064 51.82 14 1 1 1 7 78355.0 2065 32.314 12 2 0 1 5 75660.0 2066 44.732 14 2 0 1 3 53828.0 2067 53.635 18 1 1 2 2 57978.0 2068 56.352 16 1 1 2 4 63315.0 2069 47.985 14 0 1 0 4 55834.0 2070 36.042 16 1 1 0 5 73071.0 2071 57.312 17 0 0 1 4 60118.0 2072 58.812 16 0 1 2 6 98953.0 2073 30.538 17 1 1 1 6 65223.0 2074 34.989 12 0 1 0 5 67452.0 2075 50.003 14 1 1 1 3 46830.0 2076 44.654 12 1 0 2 5 83053.0 2077 52.012 14 1 1 0 5 56709.0 2078 41.385 12 0 1 1 6 86062.0 2079 32.785 16 1 1 0 6 114924.0 2080 48.133 16 1 0 2 1 32513.0 2081 47.6 16 0 1 1 5 87261.0 2082 43.427 14 1 1 1 0 32164.0 2083 44.414 14 0 0 0 6 119702.0 2084 38.808 14 3 0 1 2 47303.0 2085 34.084 14 0 0 1 0 30952.0 2086 42.378 16 0 1 0 4 62912.0 2087 59.347 14 1 1 1 0 35052.0 2088 42.234 16 3 0 1 5 52578.0 2089 41.488 14 3 1 0 2 35604.0 2090 43.784 16 2 1 0 5 65332.0 2091 48.923 16 1 1 2 5 61801.0 2092 47.015 18 1 1 0 5 87290.0 2093 31.6 16 1 0 1 6 65488.0 2094 35.694 12 1 0 1 0 34088.0 2095 39.638 16 1 0 1 2 43312.0 2096 46.473 14 1 1 1 1 40482.0 2097 30.44 9 0 0 0 2 44017.0 2098 45.677 13 1 0 2 1 32806.0 2099 52.683 16 0 0 0 2 49857.0 2100 45.641 12 1 0 0 3 62095.0 2101 53.14 16 0 1 1 3 50164.0 2102 48.709 18 1 1 2 7 118456.0 2103 43.798 16 0 1 1 4 54765.0 2104 55.744 12 0 1 0 6 102003.0 2105 57.725 14 1 1 2 1 40429.0 2106 58.339 16 0 0 2 5 72523.0 2107 34.918 14 1 1 2 1 33176.0 2108 49.237 12 0 1 0 1 36210.0 2109 43.799 16 1 0 2 0 27988.0 2110 36.1 16 1 0 2 3 58507.0 2111 49.747 16 1 0 2 3 60434.0 2112 45.868 12 0 1 0 1 33997.0 2113 52.202 20 1 1 2 4 52370.0 2114 38.934 14 2 0 2 1 33790.0 2115 30.181 16 0 0 2 2 45304.0 2116 40.62 16 1 1 1 2 36700.0 2117 42.308 16 1 0 1 4 69633.0 2118 47.878 12 1 0 1 2 55664.0 2119 47.124 9 1 1 0 1 33827.0 2120 31.314 12 0 1 0 7 118522.0 2121 37.602 16 2 1 1 3 48756.0 2122 46.771 18 0 1 0 4 47122.0 2123 39.579 16 1 0 1 7 104299.0 2124 56.736 16 3 0 1 0 24031.0 2125 48.485 16 1 0 2 1 41128.0 2126 31.422 16 1 1 0 1 44993.0 2127 34.323 16 3 0 2 1 34240.0 2128 36.153 14 1 1 2 1 27389.0 2129 54.143 16 1 1 0 7 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35.799 14 0 0 0 1 38487.0 3033 33.743 14 1 0 0 7 149878.0 3034 48.741 14 3 1 2 1 42505.0 3035 45.964 20 1 1 1 3 46801.0 3036 52.341 13 1 0 1 6 91270.0 3037 50.836 16 1 1 2 2 37835.0 3038 59.477 18 2 1 1 3 40008.0 3039 45.054 16 0 1 2 3 52099.0 3040 49.784 14 1 0 0 4 65587.0 3041 35.193 16 1 0 1 5 56487.0 3042 50.168 12 1 0 2 4 66180.0 3043 33.091 18 0 0 0 2 47655.0 3044 40.093 17 1 0 1 3 61186.0 3045 45.947 16 1 0 1 6 96759.0 3046 43.428 20 2 0 2 5 87489.0 3047 36.765 16 1 1 0 5 71223.0 3048 45.013 16 0 1 0 7 124881.0 3049 59.452 16 3 0 0 3 60537.0 3050 46.961 16 0 0 0 2 48324.0 3051 30.537 12 2 0 0 6 69396.0 3052 41.176 14 0 0 0 0 24894.0 3053 34.678 10 2 0 0 3 47875.0 3054 44.46 16 3 0 1 5 53385.0 3055 37.722 14 2 0 2 5 72471.0 3056 59.746 16 2 0 2 6 92145.0 3057 48.527 20 0 0 0 0 27687.0 3058 46.955 18 1 1 0 7 91753.0 3059 34.355 14 0 1 1 7 79793.0 3060 38.362 17 1 1 1 0 32370.0 3061 32.141 14 0 0 0 7 133812.0 3062 33.526 18 1 1 1 3 52251.0 3063 37.744 16 1 1 1 0 24802.0 3064 40.432 12 1 1 1 6 64544.0 3065 47.978 16 1 1 0 1 36246.0 3066 40.387 13 1 1 2 1 27797.0 3067 41.438 12 1 1 2 4 58455.0 3068 52.319 16 1 0 2 1 27693.0 3069 45.097 16 0 0 1 3 48602.0 3070 49.894 16 1 1 1 6 116051.0 3071 40.052 12 1 0 0 7 105696.0 3072 51.846 12 2 0 0 3 54073.0 3073 50.465 14 1 0 1 2 52759.0 3074 34.781 16 1 1 2 2 44819.0 3075 35.43 17 1 0 2 4 74782.0 3076 38.384 12 1 1 0 0 31827.0 3077 59.037 16 1 0 2 2 40429.0 3078 59.985 21 3 1 0 1 31893.0 3079 48.052 20 1 0 2 4 49086.0 3080 56.309 16 1 1 2 2 47557.0 3081 32.728 16 1 1 2 6 90206.0 3082 48.415 14 0 1 0 5 73862.0 3083 57.634 16 1 1 2 1 44400.0 3084 44.727 18 1 1 1 3 39703.0 3085 39.732 16 1 1 0 2 41457.0 3086 51.151 16 0 0 0 4 59740.0 3087 45.358 12 1 0 0 6 86710.0 3088 35.161 13 1 1 0 7 96426.0 3089 33.812 16 3 0 0 2 46349.0 3090 59.515 13 2 1 2 4 64098.0 3091 52.761 14 1 0 0 0 29705.0 3092 31.266 16 0 1 2 5 93384.0 3093 37.279 12 0 1 0 0 21738.0 3094 53.96 18 1 1 0 2 45009.0 3095 37.821 16 2 0 2 3 58376.0 3096 33.932 12 1 1 1 1 36390.0 3097 44.45 18 1 1 2 2 43497.0 3098 30.539 14 1 0 1 5 49606.0 3099 38.393 16 0 0 2 6 89057.0 3100 51.885 13 1 1 2 4 46978.0 3101 35.572 12 0 0 2 6 73354.0 3102 57.234 18 0 1 0 0 36323.0 3103 42.165 12 1 1 0 1 43807.0 3104 38.542 12 1 0 2 3 59088.0 3105 31.405 17 1 1 0 4 57674.0 3106 32.562 18 1 0 1 7 66149.0 3107 37.313 13 1 0 1 2 41125.0 3108 45.741 16 1 0 2 5 51621.0 3109 42.372 14 1 1 0 7 133422.0 3110 33.526 16 1 0 0 5 64867.0 3111 44.463 16 1 0 2 3 47248.0 3112 40.253 8 1 0 0 1 34471.0 3113 49.588 16 0 1 2 5 58290.0 3114 30.897 16 1 1 2 5 59797.0 3115 47.182 12 1 1 0 3 49965.0 3116 58.372 16 2 1 2 0 32747.0 3117 40.664 12 1 1 0 3 58744.0 3118 46.577 8 1 1 2 1 29660.0 3119 31.293 14 2 0 1 3 46970.0 3120 42.02 14 1 0 2 4 63239.0 3121 40.585 21 1 1 2 7 119679.0 3122 47.063 12 0 1 0 3 66094.0 3123 30.067 14 2 1 2 1 40028.0 3124 50.726 12 1 1 0 3 60425.0 3125 46.343 16 1 1 1 1 34329.0 3126 53.67 16 2 0 2 6 72344.0 3127 51.077 18 0 0 2 4 58301.0 3128 51.015 17 0 1 2 0 31945.0 3129 51.032 16 1 1 1 6 97368.0 3130 56.684 16 1 0 1 4 67167.0 3131 37.898 16 0 1 1 1 26805.0 3132 46.718 14 0 0 0 1 44906.0 3133 34.904 12 1 0 1 1 34632.0 3134 31.207 17 1 1 2 7 106724.0 3135 52.401 18 1 0 0 2 47738.0 3136 47.005 12 1 0 2 1 45675.0 3137 56.376 13 0 1 1 7 97554.0 3138 55.746 21 2 1 2 2 39859.0 3139 39.652 13 1 1 1 2 48943.0 3140 43.998 18 1 0 1 2 44615.0 3141 42.774 14 1 0 0 0 26457.0 3142 37.511 16 1 1 2 0 26188.0 3143 38.539 12 1 1 0 0 24139.0 3144 35.434 12 1 1 1 4 71731.0 3145 40.952 18 1 0 1 3 57790.0 3146 44.805 16 3 0 2 6 67716.0 3147 42.244 14 2 1 2 1 30681.0 3148 32.401 12 1 0 1 0 33081.0 3149 51.816 17 1 1 0 6 103346.0 3150 51.569 18 2 0 0 6 84452.0 3151 38.611 21 0 0 0 2 44742.0 3152 31.695 12 1 0 2 3 44056.0 3153 53.925 16 1 1 1 2 48617.0 3154 35.59 16 0 0 1 5 93139.0 3155 54.289 16 1 0 2 4 75360.0 3156 46.445 16 1 1 2 1 39616.0 3157 31.317 16 0 1 1 0 28042.0 3158 35.166 14 1 1 2 4 68277.0 3159 49.09

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