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danaderp
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ds4se
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  1. ---
    2. 

  2. 

  3. title: Exploration of your data
    4. 

  4. 

  5. keywords: fastai
    6. 

  6. sidebar: home_sidebar
    7. 

  7. 

  8. summary: "This module comprises all the statistical and inference techniques to describe the inner properties of software data. The submodules might include:"
    9. 

  9. ---
    10. 

  10. <!--
    11. 

  11. 

  12. #################################################
    13. 

  13. ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
    14. 

  14. #################################################
    15. 

  15. # file to edit: nbs/1.0_exp.i.ipynb
    16. 

  16. # command to build the docs after a change: nbdev_build_docs
    17. 

  17. 

  18. -->
    19. 

  19. 

  20. <div class="container" id="notebook-container">
    21. 

  21.     
    22. 

  22. <div class="cell border-box-sizing code_cell rendered">
    23. 

  23. 

  24. </div>
    25. 

  25. <div class="cell border-box-sizing code_cell rendered">
    26. 

  26. 

  27. </div>
    28. 

  28. <div class="cell border-box-sizing code_cell rendered">
    29. 

  29. <div class="input">
    30. 

  30. 

  31. <div class="inner_cell">
    32. 

  32.     <div class="input_area">
    33. 

  33. <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">nbdev.showdoc</span> <span class="kn">import</span> <span class="o">*</span>
    34. 

  34. </pre></div>
    35. 

  35. 

  36.     </div>
    37. 

  37. </div>
    38. 

  38. </div>
    39. 

  39. 

  40. </div>
    41. 

  41. <div class="cell border-box-sizing text_cell rendered"><div class="inner_cell">
    42. 

  42. <div class="text_cell_render border-box-sizing rendered_html">
    43. 

  43. <h1 id="MOVED-NECESSARY-PIECES-TO-08">MOVED NECESSARY PIECES TO 08<a class="anchor-link" href="#MOVED-NECESSARY-PIECES-TO-08">&#182;</a></h1>
    44. 

  44. </div>
    45. 

  45. </div>
    46. 

  46. </div>
    47. 

  47. <div class="cell border-box-sizing code_cell rendered">
    48. 

  48. <div class="input">
    49. 

  49. 

  50. <div class="inner_cell">
    51. 

  51.     <div class="input_area">
    52. 

  52. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Replace with actual mongo call</span>
    53. 

  53. <span class="sd">&quot;&quot;&quot;</span>
    54. 

  54. 

  55. <span class="sd">:returns: dataframe</span>
    56. 

  56. <span class="sd">&quot;&quot;&quot;</span>
    57. 

  57. <span class="k">def</span> <span class="nf">simulate_getting_dataframes_from_mongo</span><span class="p">():</span>
    58. 

  58.     <span class="n">corpus_data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;file_name&#39;</span><span class="p">:</span> <span class="p">[],</span> <span class="s1">&#39;data_type&#39;</span><span class="p">:</span> <span class="p">[],</span> <span class="s1">&#39;contents&#39;</span><span class="p">:</span> <span class="p">[]}</span>
    59. 

  59.     <span class="n">path</span> <span class="o">=</span> <span class="s2">&quot;./test_data/LibEST_semeru_format/requirements&quot;</span>
    60. 

  60.     <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
    61. 

  61.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;file_name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
    62. 

  62.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;data_type&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;req&#39;</span><span class="p">)</span>
    63. 

  63.         <span class="k">with</span> <span class="nb">open</span> <span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">file</span><span class="p">),</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    64. 

  64.             <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;contents&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
    65. 

  65.     <span class="n">path</span> <span class="o">=</span> <span class="s2">&quot;./test_data/LibEST_semeru_format/source_code&quot;</span>
    66. 

  66.     <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
    67. 

  67.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;file_name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
    68. 

  68.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;data_type&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;src&#39;</span><span class="p">)</span>
    69. 

  69.         <span class="k">with</span> <span class="nb">open</span> <span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">file</span><span class="p">),</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    70. 

  70.             <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;contents&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
    71. 

  71.     <span class="n">path</span> <span class="o">=</span> <span class="s2">&quot;./test_data/LibEST_semeru_format/test&quot;</span>
    72. 

  72.     <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
    73. 

  73.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;file_name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
    74. 

  74.         <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;data_type&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;test&#39;</span><span class="p">)</span>
    75. 

  75.         <span class="k">with</span> <span class="nb">open</span> <span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">file</span><span class="p">),</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    76. 

  76.             <span class="n">corpus_data</span><span class="p">[</span><span class="s1">&#39;contents&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
    77. 

  77.     <span class="n">corpus_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">corpus_data</span><span class="p">)</span>
    78. 

  78.     <span class="k">return</span> <span class="n">corpus_df</span>
    79. 

  79. </pre></div>
    80. 

  80. 

  81.     </div>
    82. 

  82. </div>
    83. 

  83. </div>
    84. 

  84. 

  85. </div>
    86. 

  86. <div class="cell border-box-sizing code_cell rendered">
    87. 

  87. <div class="input">
    88. 

  88. 

  89. <div class="inner_cell">
    90. 

  90.     <div class="input_area">
    91. 

  91. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Hide</span>
    92. 

  92. <span class="c1">#This isn&#39;t actually used so we don&#39;t need to test it but here you can see how a data frame is organized</span>
    93. 

  93. <span class="c1">#df = simulate_getting_dataframes_from_mongo()</span>
    94. 

  94. <span class="n">datas</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Form does not differ from the void, and the void does not differ from the form.&quot;</span><span class="p">,</span> <span class="s2">&quot;Form is the void, and the void is form.&quot;</span><span class="p">]</span>
    95. 

  95. <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">datas</span><span class="p">,</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;contents&#39;</span><span class="p">]</span> <span class="p">)</span>
    96. 

  96. <span class="n">df</span>
    97. 

  97. </pre></div>
    98. 

  98. 

  99.     </div>
    100. 

  100. </div>
    101. 

  101. </div>
    102. 

  102. 

  103. <div class="output_wrapper">
    104. 

  104. <div class="output">
    105. 

  105. 

  106. <div class="output_area">
    107. 

  107. 

  108. 

  109. <div class="output_html rendered_html output_subarea output_execute_result">
    110. 

  110. <div>
    111. 

  111. <style scoped>
    112. 

  112.     .dataframe tbody tr th:only-of-type {
    113. 

  113.         vertical-align: middle;
    114. 

  114.     }
    115. 

  115. 

  116.     .dataframe tbody tr th {
    117. 

  117.         vertical-align: top;
    118. 

  118.     }
    119. 

  119. 

  120.     .dataframe thead th {
    121. 

  121.         text-align: right;
    122. 

  122.     }
    123. 

  123. </style>
    124. 

  124. <table border="1" class="dataframe">
    125. 

  125.   <thead>
    126. 

  126.     <tr style="text-align: right;">
    127. 

  127.       <th></th>
    128. 

  128.       <th>contents</th>
    129. 

  129.     </tr>
    130. 

  130.   </thead>
    131. 

  131.   <tbody>
    132. 

  132.     <tr>
    133. 

  133.       <th>0</th>
    134. 

  134.       <td>Form does not differ from the void, and the vo...</td>
    135. 

  135.     </tr>
    136. 

  136.     <tr>
    137. 

  137.       <th>1</th>
    138. 

  138.       <td>Form is the void, and the void is form.</td>
    139. 

  139.     </tr>
    140. 

  140.   </tbody>
    141. 

  141. </table>
    142. 

  142. </div>
    143. 

  143. </div>
    144. 

  144. 

  145. </div>
    146. 

  146. 

  147. </div>
    148. 

  148. </div>
    149. 

  149. 

  150. </div>
    151. 

  151. <div class="cell border-box-sizing code_cell rendered">
    152. 

  152. 

  153. </div>
    154. 

  154. <div class="cell border-box-sizing code_cell rendered">
    155. 

  155. 

  156. <div class="output_wrapper">
    157. 

  157. <div class="output">
    158. 

  158. 

  159. <div class="output_area">
    160. 

  160. 

  161. 

  162. <div class="output_markdown rendered_html output_subarea ">
    163. 

  163. <h4 id="df_to_txt_file" class="doc_header"><code>df_to_txt_file</code><a href="ds4se/exp/i.py#L30" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>df_to_txt_file</code>(<strong><code>df</code></strong>, <strong><code>output</code></strong>, <strong><code>cols</code></strong>)</p>
    164. 

  164. </blockquote>
    165. 

  165. 

  166. </div>
    167. 

  167. 

  168. </div>
    169. 

  169. 

  170. </div>
    171. 

  171. </div>
    172. 

  172. 

  173. </div>
    174. 

  174. <div class="cell border-box-sizing code_cell rendered">
    175. 

  175. <div class="input">
    176. 

  176. 

  177. <div class="inner_cell">
    178. 

  178.     <div class="input_area">
    179. 

  179. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#df_to_txt_file(df,&#39;alexTest&#39;, None)</span>
    180. 

  180. </pre></div>
    181. 

  181. 

  182.     </div>
    183. 

  183. </div>
    184. 

  184. </div>
    185. 

  185. 

  186. </div>
    187. 

  187. <div class="cell border-box-sizing code_cell rendered">
    188. 

  188. <div class="input">
    189. 

  189. 

  190. <div class="inner_cell">
    191. 

  191.     <div class="input_area">
    192. 

  192. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#ExpTest</span>
    193. 

  193. 

  194. <span class="c1">#Create a file</span>
    195. 

  195. <span class="n">df_to_txt_file</span><span class="p">(</span><span class="n">df</span><span class="p">,</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
    196. 

  196. <span class="c1">#Is it there?</span>
    197. 

  197. <span class="n">test_bool</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="s1">&#39;./output_text.txt&#39;</span><span class="p">)</span>
    198. 

  198. <span class="k">assert</span><span class="p">(</span><span class="n">test_bool</span> <span class="o">==</span> <span class="kc">True</span><span class="p">)</span>
    199. 

  199. 

  200. <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;./output_text.txt&#39;</span><span class="p">)</span>
    201. 

  201. </pre></div>
    202. 

  202. 

  203.     </div>
    204. 

  204. </div>
    205. 

  205. </div>
    206. 

  206. 

  207. </div>
    208. 

  208. <div class="cell border-box-sizing code_cell rendered">
    209. 

  209. 

  210. </div>
    211. 

  211. <div class="cell border-box-sizing code_cell rendered">
    212. 

  212. 

  213. <div class="output_wrapper">
    214. 

  214. <div class="output">
    215. 

  215. 

  216. <div class="output_area">
    217. 

  217. 

  218. 

  219. <div class="output_markdown rendered_html output_subarea ">
    220. 

  220. <h4 id="gen_sp_model" class="doc_header"><code>gen_sp_model</code><a href="ds4se/exp/i.py#L47" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>gen_sp_model</code>(<strong><code>df</code></strong>, <strong><code>output</code></strong>, <strong><code>model_name</code></strong>, <strong><code>cols</code></strong>=<em><code>None</code></em>)</p>
    221. 

  221. </blockquote>
    222. 

  222. 

  223. </div>
    224. 

  224. 

  225. </div>
    226. 

  226. 

  227. </div>
    228. 

  228. </div>
    229. 

  229. 

  230. </div>
    231. 

  231. <div class="cell border-box-sizing code_cell rendered">
    232. 

  232. <div class="input">
    233. 

  233. 

  234. <div class="inner_cell">
    235. 

  235.     <div class="input_area">
    236. 

  236. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#ExpTest</span>
    237. 

  237. 

  238. <span class="c1">#Here we test the gen sp model method to see if it properly creates files</span>
    239. 

  239. <span class="n">actual</span> <span class="o">=</span> <span class="n">gen_sp_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span><span class="s1">&#39;output&#39;</span><span class="p">,</span><span class="s1">&#39;_sp_bpe_modal&#39;</span><span class="p">,</span><span class="n">cols</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;contents&quot;</span><span class="p">])</span>
    240. 

  240. <span class="n">expected</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="s1">&#39;./&#39;</span> <span class="o">+</span> <span class="n">actual</span> <span class="o">+</span> <span class="s1">&#39;.model&#39;</span><span class="p">)</span>
    241. 

  241. <span class="k">assert</span><span class="p">(</span><span class="n">expected</span><span class="p">)</span>
    242. 

  242. <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;./&#39;</span> <span class="o">+</span> <span class="n">actual</span> <span class="o">+</span> <span class="s1">&#39;.model&#39;</span><span class="p">)</span>
    243. 

  243. <span class="n">expected2</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="s1">&#39;./&#39;</span><span class="o">+</span> <span class="n">actual</span> <span class="o">+</span> <span class="s1">&#39;.vocab&#39;</span><span class="p">)</span>
    244. 

  244. <span class="k">assert</span><span class="p">(</span><span class="n">expected2</span><span class="p">)</span>
    245. 

  245. <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;./&#39;</span><span class="o">+</span> <span class="n">actual</span> <span class="o">+</span> <span class="s1">&#39;.vocab&#39;</span><span class="p">)</span>
    246. 

  246. 

  247. <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;./output_text.txt&#39;</span><span class="p">)</span>
    248. 

  248. </pre></div>
    249. 

  249. 

  250.     </div>
    251. 

  251. </div>
    252. 

  252. </div>
    253. 

  253. 

  254. </div>
    255. 

  255. <div class="cell border-box-sizing code_cell rendered">
    256. 

  256. 

  257. </div>
    258. 

  258. <div class="cell border-box-sizing code_cell rendered">
    259. 

  259. 

  260. <div class="output_wrapper">
    261. 

  261. <div class="output">
    262. 

  262. 

  263. <div class="output_area">
    264. 

  264. 

  265. 

  266. <div class="output_markdown rendered_html output_subarea ">
    267. 

  267. <h4 id="encode_text" class="doc_header"><code>encode_text</code><a href="ds4se/exp/i.py#L59" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>encode_text</code>(<strong><code>text</code></strong>, <strong><code>model_prefix</code></strong>)</p>
    268. 

  268. </blockquote>
    269. 

  269. 

  270. </div>
    271. 

  271. 

  272. </div>
    273. 

  273. 

  274. </div>
    275. 

  275. </div>
    276. 

  276. 

  277. </div>
    278. 

  278. <div class="cell border-box-sizing code_cell rendered">
    279. 

  279. <div class="input">
    280. 

  280. 

  281. <div class="inner_cell">
    282. 

  282.     <div class="input_area">
    283. 

  283. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#ExpTest</span>
    284. 

  284. 

  285. <span class="c1">#This tests the encode text method assuming the sp model(?)</span>
    286. 

  286. 

  287. <span class="n">sp_model</span> <span class="o">=</span> <span class="n">gen_sp_model</span><span class="p">(</span><span class="n">df</span><span class="p">,</span><span class="s1">&#39;output&#39;</span><span class="p">,</span><span class="s1">&#39;_sp_bpe_modal&#39;</span><span class="p">,</span><span class="n">cols</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;contents&quot;</span><span class="p">])</span>
    288. 

  288. 

  289. <span class="n">actual</span> <span class="o">=</span> <span class="n">encode_text</span><span class="p">(</span><span class="s2">&quot;Form does not differ from the void, and the void does not differ from the form.&quot;</span><span class="p">,</span> <span class="s1">&#39;output_sp_bpe_modal&#39;</span><span class="p">)</span>
    290. 

  290. 

  291. <span class="n">expected</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">({</span><span class="s1">&#39;▁the&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;▁does&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁not&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁differ&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁from&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁void&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁Form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;,&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁and&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;.&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">})</span>
    292. 

  292. <span class="c1">#Clean up Test</span>
    293. 

  293. <span class="k">assert</span><span class="p">(</span><span class="n">actual</span> <span class="o">==</span> <span class="n">expected</span><span class="p">)</span>
    294. 

  294. <span class="nb">print</span><span class="p">(</span><span class="n">actual</span><span class="p">)</span>
    295. 

  295. </pre></div>
    296. 

  296. 

  297.     </div>
    298. 

  298. </div>
    299. 

  299. </div>
    300. 

  300. 

  301. <div class="output_wrapper">
    302. 

  302. <div class="output">
    303. 

  303. 

  304. <div class="output_area">
    305. 

  305. 

  306. <div class="output_subarea output_stream output_stdout output_text">
    307. 

  307. <pre>Counter({&#39;▁the&#39;: 3, &#39;▁does&#39;: 2, &#39;▁not&#39;: 2, &#39;▁differ&#39;: 2, &#39;▁from&#39;: 2, &#39;▁void&#39;: 2, &#39;▁Form&#39;: 1, &#39;,&#39;: 1, &#39;▁and&#39;: 1, &#39;▁form&#39;: 1, &#39;.&#39;: 1})
    308. 

  308. </pre>
    309. 

  309. </div>
    310. 

  310. </div>
    311. 

  311. 

  312. </div>
    313. 

  313. </div>
    314. 

  314. 

  315. </div>
    316. 

  316. <div class="cell border-box-sizing code_cell rendered">
    317. 

  317. 

  318. </div>
    319. 

  319. <div class="cell border-box-sizing code_cell rendered">
    320. 

  320. 

  321. <div class="output_wrapper">
    322. 

  322. <div class="output">
    323. 

  323. 

  324. <div class="output_area">
    325. 

  325. 

  326. 

  327. <div class="output_markdown rendered_html output_subarea ">
    328. 

  328. <h4 id="dit_shannon" class="doc_header"><code>dit_shannon</code><a href="ds4se/exp/i.py#L76" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>dit_shannon</code>(<strong><code>token_counts</code></strong>)</p>
    329. 

  329. </blockquote>
    330. 

  330. 

  331. </div>
    332. 

  332. 

  333. </div>
    334. 

  334. 

  335. </div>
    336. 

  336. </div>
    337. 

  337. 

  338. </div>
    339. 

  339. <div class="cell border-box-sizing code_cell rendered">
    340. 

  340. <div class="input">
    341. 

  341. 

  342. <div class="inner_cell">
    343. 

  343.     <div class="input_area">
    344. 

  344. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#ExpTest</span>
    345. 

  345. <span class="c1">#This test takes a sample string and creates a counter that it runs dit shannon on to verify the shannon functionality</span>
    346. 

  346. <span class="n">sample_txt</span> <span class="o">=</span> <span class="s2">&quot;Form does not differ from the void, and the void does not differ from the form.&quot;</span>
    347. 

  347. <span class="n">sample_tcnt</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="n">sample_txt</span><span class="p">)</span>
    348. 

  348. 

  349. <span class="n">answer</span> <span class="o">=</span> <span class="n">dit_shannon</span><span class="p">(</span><span class="n">sample_tcnt</span><span class="p">)</span>
    350. 

  350. <span class="n">expected</span> <span class="o">=</span> <span class="mf">3.6783847516036627</span>
    351. 

  351. <span class="c1">#assert(answer == expected)</span>
    352. 

  352. <span class="nb">print</span><span class="p">(</span><span class="n">answer</span><span class="p">)</span>
    353. 

  353. <span class="nb">print</span><span class="p">(</span><span class="n">expected</span><span class="p">)</span>
    354. 

  354. <span class="nb">print</span><span class="p">(</span><span class="n">sample_tcnt</span><span class="p">)</span>
    355. 

  355. </pre></div>
    356. 

  356. 

  357.     </div>
    358. 

  358. </div>
    359. 

  359. </div>
    360. 

  360. 

  361. <div class="output_wrapper">
    362. 

  362. <div class="output">
    363. 

  363. 

  364. <div class="output_area">
    365. 

  365. 

  366. <div class="output_subarea output_stream output_stdout output_text">
    367. 

  367. <pre>3.6783847516036627
    368. 

  368. 3.6783847516036627
    369. 

  369. Counter({&#39; &#39;: 15, &#39;o&#39;: 10, &#39;d&#39;: 7, &#39;e&#39;: 7, &#39;f&#39;: 7, &#39;r&#39;: 6, &#39;t&#39;: 5, &#39;m&#39;: 4, &#39;i&#39;: 4, &#39;n&#39;: 3, &#39;h&#39;: 3, &#39;s&#39;: 2, &#39;v&#39;: 2, &#39;F&#39;: 1, &#39;,&#39;: 1, &#39;a&#39;: 1, &#39;.&#39;: 1})
    370. 

  370. </pre>
    371. 

  371. </div>
    372. 

  372. </div>
    373. 

  373. 

  374. </div>
    375. 

  375. </div>
    376. 

  376. 

  377. </div>
    378. 

  378. <div class="cell border-box-sizing code_cell rendered">
    379. 

  379. 

  380. </div>
    381. 

  381. <div class="cell border-box-sizing code_cell rendered">
    382. 

  382. 

  383. <div class="output_wrapper">
    384. 

  384. <div class="output">
    385. 

  385. 

  386. <div class="output_area">
    387. 

  387. 

  388. 

  389. <div class="output_markdown rendered_html output_subarea ">
    390. 

  390. <h4 id="entropies_of_df_entries" class="doc_header"><code>entropies_of_df_entries</code><a href="ds4se/exp/i.py#L95" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>entropies_of_df_entries</code>(<strong><code>df</code></strong>, <strong><code>col</code></strong>, <strong><code>model_prefix</code></strong>)</p>
    391. 

  391. </blockquote>
    392. 

  392. <p>Returns a list of the entropies of each entry in a dataframe column</p>
    393. 

  393. 

  394. </div>
    395. 

  395. 

  396. </div>
    397. 

  397. 

  398. </div>
    399. 

  399. </div>
    400. 

  400. 

  401. </div>
    402. 

  402. <div class="cell border-box-sizing code_cell rendered">
    403. 

  403. <div class="input">
    404. 

  404. 

  405. <div class="inner_cell">
    406. 

  406.     <div class="input_area">
    407. 

  407. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#ExpTest</span>
    408. 

  408. <span class="c1">#Entropies of df test</span>
    409. 

  409. <span class="n">enty</span> <span class="o">=</span> <span class="n">entropies_of_df_entries</span><span class="p">(</span><span class="n">df</span><span class="p">,</span><span class="s1">&#39;contents&#39;</span><span class="p">,</span><span class="s1">&#39;output_sp_bpe_modal&#39;</span><span class="p">)</span>
    410. 

  410. 

  411. <span class="n">entropy1</span> <span class="o">=</span> <span class="n">dit_shannon</span><span class="p">(</span><span class="n">Counter</span><span class="p">({</span><span class="s1">&#39;▁the&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;▁does&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁not&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁differ&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁from&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> 
    412. 

  412.                                 <span class="s1">&#39;▁void&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁Form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;,&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁and&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;.&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">}))</span>
    413. 

  413. 

  414. <span class="n">entropy2</span> <span class="o">=</span> <span class="n">dit_shannon</span><span class="p">(</span><span class="n">Counter</span><span class="p">({</span><span class="s1">&#39;▁is&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁the&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁void&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;▁Form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;,&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁and&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;▁form&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;.&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">}))</span>
    415. 

  415. 

  416. <span class="k">assert</span><span class="p">(</span><span class="n">enty</span> <span class="o">==</span> <span class="p">[</span><span class="n">entropy1</span><span class="p">,</span> <span class="n">entropy2</span><span class="p">])</span>
    417. 

  417. </pre></div>
    418. 

  418. 

  419.     </div>
    420. 

  420. </div>
    421. 

  421. </div>
    422. 

  422. 

  423. </div>
    424. 

  424. <div class="cell border-box-sizing code_cell rendered">
    425. 

  425. <div class="input">
    426. 

  426. 

  427. <div class="inner_cell">
    428. 

  428.     <div class="input_area">
    429. 

  429. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Finish this such that is finds the entropy of the entire corpus \</span>
    430. 

  430. <span class="c1">#       and preserves the individual token frequencies so that we can   \</span>
    431. 

  431. <span class="c1">#      compute the most common tokens</span>
    432. 

  432. 

  433. <span class="c1"># def entropy_of_whole_corpus(df, col, model_prefix):</span>
    434. 

  434. <span class="c1">#     &#39;&#39;&#39;Returns a dictionary of the entropies of each token in a dataframe corpus&#39;&#39;&#39;</span>
    435. 

  435. <span class="c1">#     entropies = {}</span>
    436. 

  436. <span class="c1">#     token_counts = encode_text(pd.concat[col], model_prefix)</span>
    437. 

  437. <span class="c1">#     entropies.append(dit_shannon(token_counts))</span>
    438. 

  438. <span class="c1">#     return entropies</span>
    439. 

  439. </pre></div>
    440. 

  440. 

  441.     </div>
    442. 

  442. </div>
    443. 

  443. </div>
    444. 

  444. 

  445. </div>
    446. 

  446. <div class="cell border-box-sizing code_cell rendered">
    447. 

  447. <div class="input">
    448. 

  448. 

  449. <div class="inner_cell">
    450. 

  450.     <div class="input_area">
    451. 

  451. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#FLAG DELETE</span>
    452. 

  452. <span class="c1"># TODO: Do we need this function?</span>
    453. 

  453. <span class="kn">import</span> <span class="nn">math</span>
    454. 

  454. <span class="k">def</span> <span class="nf">manual_shannon</span><span class="p">(</span><span class="n">token_freqs</span><span class="p">):</span>
    455. 

  455.     <span class="nb">sum</span> <span class="o">=</span> <span class="mi">0</span>
    456. 

  456.     <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">token_freqs</span><span class="p">:</span>
    457. 

  457.         <span class="nb">sum</span> <span class="o">+=</span> <span class="n">i</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">i</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
    458. 

  458.     <span class="k">return</span> <span class="nb">sum</span>
    459. 

  459. </pre></div>
    460. 

  460. 

  461.     </div>
    462. 

  462. </div>
    463. 

  463. </div>
    464. 

  464. 

  465. </div>
    466. 

  466. <div class="cell border-box-sizing code_cell rendered">
    467. 

  467. <div class="input">
    468. 

  468. 

  469. <div class="inner_cell">
    470. 

  470.     <div class="input_area">
    471. 

  471. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#FLAG DELETE</span>
    472. 

  472. <span class="c1"># TODO: Do we need this function?</span>
    473. 

  473. <span class="k">def</span> <span class="nf">sort_token_data</span><span class="p">(</span><span class="n">token_data</span><span class="p">):</span>
    474. 

  474.     <span class="k">return</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">token_data</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="p">,</span>  <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s2">&quot;Occurrences&quot;</span><span class="p">])</span>
    475. 

  475. </pre></div>
    476. 

  476. 

  477.     </div>
    478. 

  478. </div>
    479. 

  479. </div>
    480. 

  480. 

  481. </div>
    482. 

  482. <div class="cell border-box-sizing text_cell rendered"><div class="inner_cell">
    483. 

  483. <div class="text_cell_render border-box-sizing rendered_html">
    484. 

  484. <h1 id="EXPLORATORY-ANALYSIS">EXPLORATORY ANALYSIS<a class="anchor-link" href="#EXPLORATORY-ANALYSIS">&#182;</a></h1>
    485. 

  485. </div>
    486. 

  486. </div>
    487. 

  487. </div>
    488. 

  488. <div class="cell border-box-sizing text_cell rendered"><div class="inner_cell">
    489. 

  489. <div class="text_cell_render border-box-sizing rendered_html">
    490. 

  490. <h2 id="LIBest-Corpus">LIBest Corpus<a class="anchor-link" href="#LIBest-Corpus">&#182;</a></h2>
    491. 

  491. </div>
    492. 

  492. </div>
    493. 

  493. </div>
    494. 

  494. <div class="cell border-box-sizing code_cell rendered">
    495. 

  495. <div class="input">
    496. 

  496. 

  497. <div class="inner_cell">
    498. 

  498.     <div class="input_area">
    499. 

  499. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Hide</span>
    500. 

  500. <span class="c1"># Create a dataframe of the requirements, source code and test case data for LIBest</span>
    501. 

  501. <span class="c1"># Create a sentencepiece model using the entire LIBest corpus</span>
    502. 

  502. <span class="n">LIB_corpus_df</span> <span class="o">=</span> <span class="n">simulate_getting_dataframes_from_mongo</span><span class="p">()</span>
    503. 

  503. <span class="n">LIB_model</span> <span class="o">=</span> <span class="n">gen_sp_model</span><span class="p">(</span><span class="n">LIB_corpus_df</span><span class="p">,</span> <span class="n">output</span><span class="o">=</span><span class="s1">&#39;LIBest&#39;</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="s1">&#39;_sp_bpe_modal&#39;</span><span class="p">,</span> <span class="n">cols</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;contents&#39;</span><span class="p">])</span>
    504. 

  504. </pre></div>
    505. 

  505. 

  506.     </div>
    507. 

  507. </div>
    508. 

  508. </div>
    509. 

  509. 

  510. </div>
    511. 

  511. <div class="cell border-box-sizing text_cell rendered"><div class="inner_cell">
    512. 

  512. <div class="text_cell_render border-box-sizing rendered_html">
    513. 

  513. <h2 id="Looking-at-Individual-Files">Looking at Individual Files<a class="anchor-link" href="#Looking-at-Individual-Files">&#182;</a></h2>
    514. 

  514. </div>
    515. 

  515. </div>
    516. 

  516. </div>
    517. 

  517. <div class="cell border-box-sizing code_cell rendered">
    518. 

  518. <div class="input">
    519. 

  519. 

  520. <div class="inner_cell">
    521. 

  521.     <div class="input_area">
    522. 

  522. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Hide</span>
    523. 

  523. <span class="c1"># Use the model to compute each file&#39;s entropy</span>
    524. 

  524. <span class="n">LIB_entropies</span> <span class="o">=</span> <span class="n">entropies_of_df_entries</span><span class="p">(</span><span class="n">LIB_corpus_df</span><span class="p">,</span> <span class="s1">&#39;contents&#39;</span><span class="p">,</span> <span class="n">LIB_model</span><span class="p">)</span>
    525. 

  525. </pre></div>
    526. 

  526. 

  527.     </div>
    528. 

  528. </div>
    529. 

  529. </div>
    530. 

  530. 

  531. </div>
    532. 

  532. <div class="cell border-box-sizing code_cell rendered">
    533. 

  533. <div class="input">
    534. 

  534. 

  535. <div class="inner_cell">
    536. 

  536.     <div class="input_area">
    537. 

  537. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Hide</span>
    538. 

  538. <span class="c1"># Calculate metrics on the LIBest corpus entropies</span>
    539. 

  539. <span class="c1">#print(&quot;Max entropy:&quot;, max(LIB_entropies))</span>
    540. 

  540. <span class="c1">#print(&quot;Min entropy:&quot;, min(LIB_entropies))</span>
    541. 

  541. <span class="c1">#print(&quot;Average entropy:&quot;, mean(LIB_entropies))</span>
    542. 

  542. <span class="c1">#print(&quot;Median entropy:&quot;, stat.median(LIB_entropies))</span>
    543. 

  543. 

  544. <span class="c1">#print(&quot;Entropy Standard Deviation:&quot;, std(LIB_entropies))</span>
    545. 

  545. 

  546. <span class="c1">#confidence = 0.95</span>
    547. 

  547. <span class="c1">#n = len(LIB_entropies)</span>
    548. 

  548. <span class="c1">#m = mean(LIB_entropies)</span>
    549. 

  549. <span class="c1">#std_err = sem(LIB_entropies)</span>
    550. 

  550. <span class="c1">#h = std_err * t.ppf((1 + confidence) / 2, n - 1)</span>
    551. 

  551. 

  552. <span class="c1">#start = m - h</span>
    553. 

  553. <span class="c1">#end = m + h</span>
    554. 

  554. <span class="c1">#print(f&quot;95% of entropies fall within {start} and {end}&quot;)</span>
    555. 

  555. </pre></div>
    556. 

  556. 

  557.     </div>
    558. 

  558. </div>
    559. 

  559. </div>
    560. 

  560. 

  561. <div class="output_wrapper">
    562. 

  562. <div class="output">
    563. 

  563. 

  564. <div class="output_area">
    565. 

  565. 

  566. <div class="output_subarea output_stream output_stdout output_text">
    567. 

  567. <pre>Max entropy: 8.736686724450998
    568. 

  568. Min entropy: 3.979797585487148
    569. 

  569. Average entropy: 6.9103334297633525
    570. 

  570. Median entropy: 7.086176924292342
    571. 

  571. Entropy Standard Deviation: 1.069417835431708
    572. 

  572. 95% of entropies fall within 6.681088254680821 and 7.139578604845884
    573. 

  573. </pre>
    574. 

  574. </div>
    575. 

  575. </div>
    576. 

  576. 

  577. </div>
    578. 

  578. </div>
    579. 

  579. 

  580. </div>
    581. 

  581. <div class="cell border-box-sizing code_cell rendered">
    582. 

  582. <div class="input">
    583. 

  583. 

  584. <div class="inner_cell">
    585. 

  585.     <div class="input_area">
    586. 

  586. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Hide</span>
    587. 

  587. <span class="c1"># Create a histogram of the entropy distribution</span>
    588. 

  588. <span class="c1">#plt.hist(LIB_entropies, bins = 20)</span>
    589. 

  589. <span class="c1">#plt.ylabel(&quot;Num Files&quot;)</span>
    590. 

  590. <span class="c1">#plt.xlabel(&quot;Entropy&quot;)</span>
    591. 

  591. <span class="c1">#plt.show()</span>
    592. 

  592. </pre></div>
    593. 

  593. 

  594.     </div>
    595. 

  595. </div>
    596. 

  596. </div>
    597. 

  597. 

  598. <div class="output_wrapper">
    599. 

  599. <div class="output">
    600. 

  600. 

  601. <div class="output_area">
    602. 

  602. 

  603. 

  604. 

  605. <div class="output_png output_subarea ">
    606. 

  606. <img src="data:image/png;base64,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
    607. 

  607. "
    608. 

  608. >
    609. 

  609. </div>
    610. 

  610. 

  611. </div>
    612. 

  612. 

  613. </div>
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    615. 

  615. 

  616. </div>
    617. 

  617. <div class="cell border-box-sizing text_cell rendered"><div class="inner_cell">
    618. 

  618. <div class="text_cell_render border-box-sizing rendered_html">
    619. 

  619. <h2 id="Looking-at-the-Corpus-as-a-Whole">Looking at the Corpus as a Whole<a class="anchor-link" href="#Looking-at-the-Corpus-as-a-Whole">&#182;</a></h2>
    620. 

  620. </div>
    621. 

  621. </div>
    622. 

  622. </div>
    623. 

  623. </div>
    624. 

  624.  
    625. 

  625.
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