220 lines
6.4 KiB
Plaintext
220 lines
6.4 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import math"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"contributing_readability = pd.read_csv(\"020125_CONTRIBUTING_readability.csv\")\n",
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"readme_readability = pd.read_csv(\"020125_README_readability.csv\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>filename</th>\n",
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" <th>flesch_reading_ease</th>\n",
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" <th>flesch_kincaid_grade</th>\n",
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" <th>linsear_write_formula</th>\n",
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" <th>dale_chall_readability_score</th>\n",
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" <th>mcalpine_eflaw</th>\n",
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" <th>reading_time</th>\n",
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" <th>char_count</th>\n",
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" <th>word_count</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>pytest-dev_pytest-bdd.git_hullabaloo_CONTRIBUT...</td>\n",
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" <td>40.95</td>\n",
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" <td>10.9</td>\n",
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" <td>10.6000</td>\n",
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" <td>11.61</td>\n",
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" <td>18.2</td>\n",
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" <td>6.58</td>\n",
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" <td>448</td>\n",
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" <td>67</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>lxqt_qterminal.git_hullabaloo_CONTRIBUTING.md</td>\n",
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" <td>51.14</td>\n",
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" <td>9.0</td>\n",
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" <td>8.0000</td>\n",
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" <td>9.63</td>\n",
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" <td>15.3</td>\n",
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" <td>10.44</td>\n",
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" <td>711</td>\n",
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" <td>105</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>rbenv_ruby-build.git_hullabaloo_CONTRIBUTING.md</td>\n",
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" <td>71.14</td>\n",
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" <td>7.6</td>\n",
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" <td>9.0000</td>\n",
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" <td>10.05</td>\n",
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" <td>27.0</td>\n",
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" <td>1.16</td>\n",
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" <td>79</td>\n",
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" <td>17</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>muse-sequencer_muse.git_hullabaloo_CONTRIBUTING</td>\n",
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" <td>-68.97</td>\n",
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" <td>24.1</td>\n",
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" <td>3.5000</td>\n",
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" <td>25.99</td>\n",
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" <td>6.0</td>\n",
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" <td>1.09</td>\n",
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" <td>74</td>\n",
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" <td>5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>mypaint_libmypaint_hullabaloo_CONTRIBUTING.md</td>\n",
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" <td>51.04</td>\n",
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" <td>9.1</td>\n",
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" <td>6.5625</td>\n",
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" <td>9.93</td>\n",
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" <td>16.8</td>\n",
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" <td>8.68</td>\n",
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" <td>591</td>\n",
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" <td>94</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" filename flesch_reading_ease \\\n",
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"0 pytest-dev_pytest-bdd.git_hullabaloo_CONTRIBUT... 40.95 \n",
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"1 lxqt_qterminal.git_hullabaloo_CONTRIBUTING.md 51.14 \n",
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"2 rbenv_ruby-build.git_hullabaloo_CONTRIBUTING.md 71.14 \n",
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"3 muse-sequencer_muse.git_hullabaloo_CONTRIBUTING -68.97 \n",
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"4 mypaint_libmypaint_hullabaloo_CONTRIBUTING.md 51.04 \n",
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"\n",
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" flesch_kincaid_grade linsear_write_formula dale_chall_readability_score \\\n",
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"0 10.9 10.6000 11.61 \n",
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"1 9.0 8.0000 9.63 \n",
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"2 7.6 9.0000 10.05 \n",
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"3 24.1 3.5000 25.99 \n",
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"4 9.1 6.5625 9.93 \n",
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"\n",
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" mcalpine_eflaw reading_time char_count word_count \n",
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"0 18.2 6.58 448 67 \n",
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"1 15.3 10.44 711 105 \n",
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"2 27.0 1.16 79 17 \n",
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"3 6.0 1.09 74 5 \n",
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"4 16.8 8.68 591 94 "
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"contributing_readability.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"214.0"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"contributing_readability['word_count'].median()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"9.1"
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]
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},
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"readme_readability['flesch_kincaid_grade'].median()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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