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---
title: Utilities
keywords: fastai
sidebar: home_sidebar
summary: "Useful function and utilities"
description: "Useful function and utilities"
nb_path: "nbs\10_utils.ipynb"
---
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<h2 id="Import-Modules">Import Modules<a class="anchor-link" href="#Import-Modules"> </a></h2>
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<h4 id="is_jupyter" class="doc_header"><code>is_jupyter</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L35" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>is_jupyter</code>()</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># For Test Cases (might have duplicate import because it will be in a dedicated file)</span>
<span class="kn">import</span> <span class="nn">requests</span>
<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="kn">from</span> <span class="nn">shutil</span> <span class="kn">import</span> <span class="n">copy</span><span class="p">,</span> <span class="n">rmtree</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
<span class="kn">import</span> <span class="nn">graphviz</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">pytest</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="kn">from</span> <span class="nn">test_common.utils_4_tests</span> <span class="kn">import</span> <span class="n">DATA_DIR</span><span class="p">,</span> <span class="n">IMG_DIR</span><span class="p">,</span> <span class="n">check_no_log</span><span class="p">,</span> <span class="n">check_only_warning</span>
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<h3 id="Cleaning-up-error-image">Cleaning up error image<a class="anchor-link" href="#Cleaning-up-error-image"> </a></h3>
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<p>In some cases, we have error image that will interrupt model trainging. We can use <code>[`clean_error_img`](/unpackai/utils.html#clean_error_img)</code> to clean the image folder</p>
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<p>Check on a single image,
If it's quality is troublesome
we unlink/ditch the image</p>
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<h4 id="clean_error_img" class="doc_header"><code>clean_error_img</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L82" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>clean_error_img</code>(<strong><code>path</code></strong>:<code>Path</code>, <strong><code>progress</code></strong>:<code>bool</code>=<em><code>True</code></em>)</p>
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<ul>
<li>path: an image directory</li>
<li>progress: do we print out progress bar or not
default True</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">images_rob</span> <span class="o">=</span> <span class="nb">list</span><span class="p">((</span><span class="n">IMG_DIR</span> <span class="o">/</span> <span class="s2">"robustness"</span><span class="p">)</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
<span class="n">IMG_RGB</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">new</span><span class="p">(</span><span class="s2">"RGB"</span><span class="p">,</span> <span class="p">(</span><span class="mi">60</span><span class="p">,</span> <span class="mi">30</span><span class="p">),</span> <span class="n">color</span><span class="o">=</span><span class="p">(</span><span class="mi">73</span><span class="p">,</span> <span class="mi">109</span><span class="p">,</span> <span class="mi">137</span><span class="p">))</span>
<span class="n">IMG_RGBA</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">new</span><span class="p">(</span><span class="s2">"RGBA"</span><span class="p">,</span> <span class="p">(</span><span class="mi">60</span><span class="p">,</span> <span class="mi">30</span><span class="p">),</span> <span class="n">color</span><span class="o">=</span><span class="p">(</span><span class="mi">73</span><span class="p">,</span> <span class="mi">109</span><span class="p">,</span> <span class="mi">137</span><span class="p">,</span> <span class="mi">100</span><span class="p">))</span>
<span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span><span class="s2">"img"</span><span class="p">,</span> <span class="n">images_rob</span><span class="p">,</span> <span class="n">ids</span><span class="o">=</span><span class="p">[</span><span class="n">i</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">images_rob</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">test_check_img_error</span><span class="p">(</span><span class="n">img</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">tmpdir</span><span class="p">,</span> <span class="n">caplog</span><span class="p">):</span>
<span class="sd">"""Test check_img with incorrect images"""</span>
<span class="n">img_copy</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span> <span class="o">/</span> <span class="n">img</span><span class="o">.</span><span class="n">name</span>
<span class="n">copy</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">img_copy</span><span class="p">)</span>
<span class="n">check_img</span><span class="p">(</span><span class="n">img_copy</span><span class="p">)</span>
<span class="n">check_only_warning</span><span class="p">(</span><span class="n">caplog</span><span class="p">,</span> <span class="n">img</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
<span class="k">assert</span> <span class="ow">not</span> <span class="n">img_copy</span><span class="o">.</span><span class="n">is_file</span><span class="p">(),</span> <span class="sa">f</span><span class="s2">"File </span><span class="si">{</span><span class="n">img_copy</span><span class="si">}</span><span class="s2"> not be deleted"</span>
<span class="k">def</span> <span class="nf">test_check_img_empty_wrong_suffix</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">,</span> <span class="n">caplog</span><span class="p">):</span>
<span class="sd">"""Test check_img with wrong image that does not have a correct extension"""</span>
<span class="n">img_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span> <span class="o">/</span> <span class="s2">"empty.txt"</span>
<span class="n">img_path</span><span class="o">.</span><span class="n">write_bytes</span><span class="p">(</span><span class="sa">b</span><span class="s2">""</span><span class="p">)</span>
<span class="n">check_img</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
<span class="n">check_no_log</span><span class="p">(</span><span class="n">caplog</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">img_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">(),</span> <span class="sa">f</span><span class="s2">"Image </span><span class="si">{</span><span class="n">img_path</span><span class="si">}</span><span class="s2"> not found"</span>
<span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span><span class="s2">"img"</span><span class="p">,</span> <span class="p">[</span><span class="n">IMG_RGB</span><span class="p">,</span> <span class="n">IMG_RGBA</span><span class="p">])</span>
<span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span><span class="s2">"ext"</span><span class="p">,</span> <span class="p">[</span><span class="s2">"png"</span><span class="p">,</span> <span class="s2">"bmp"</span><span class="p">,</span> <span class="s2">"jpg"</span><span class="p">,</span> <span class="s2">"jpeg"</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">test_check_img_correct</span><span class="p">(</span><span class="n">img</span><span class="p">:</span> <span class="n">Image</span><span class="p">,</span> <span class="n">ext</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">tmpdir</span><span class="p">,</span> <span class="n">caplog</span><span class="p">):</span>
<span class="sd">"""Correct that correct image is not removed"""</span>
<span class="n">alpha_suffix</span> <span class="o">=</span> <span class="s2">"_alpha"</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">img</span><span class="o">.</span><span class="n">getcolors</span><span class="p">()[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">])</span> <span class="o">==</span> <span class="mi">4</span> <span class="k">else</span> <span class="s2">""</span>
<span class="k">if</span> <span class="n">alpha_suffix</span> <span class="ow">and</span> <span class="n">ext</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"jp"</span><span class="p">):</span>
<span class="n">pytest</span><span class="o">.</span><span class="n">skip</span><span class="p">(</span><span class="s2">"JPG does not support RGBA"</span><span class="p">)</span>
<span class="n">img_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"correct_image_blue</span><span class="si">{</span><span class="n">alpha_suffix</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">ext</span><span class="si">}</span><span class="s2">"</span>
<span class="n">img</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
<span class="n">check_img</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>
<span class="n">check_no_log</span><span class="p">(</span><span class="n">caplog</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">img_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">(),</span> <span class="sa">f</span><span class="s2">"Image </span><span class="si">{</span><span class="n">img_path</span><span class="si">}</span><span class="s2"> not found"</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_clean_error_img</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">,</span> <span class="n">monkeypatch</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="sd">"""Test clean_error_img"""</span>
<span class="k">for</span> <span class="n">img</span> <span class="ow">in</span> <span class="n">images_rob</span><span class="p">:</span>
<span class="n">copy</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span> <span class="o">/</span> <span class="n">img</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
<span class="n">monkeypatch</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span>
<span class="n">root</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="s2">"."</span><span class="p">)</span>
<span class="n">sub1</span> <span class="o">=</span> <span class="n">root</span> <span class="o">/</span> <span class="s2">"sub1"</span>
<span class="n">sub2</span> <span class="o">=</span> <span class="n">root</span> <span class="o">/</span> <span class="s2">"sub2"</span>
<span class="n">sub1</span><span class="o">.</span><span class="n">mkdir</span><span class="p">()</span>
<span class="n">sub2</span><span class="o">.</span><span class="n">mkdir</span><span class="p">()</span>
<span class="n">sub3</span> <span class="o">=</span> <span class="n">sub2</span> <span class="o">/</span> <span class="s2">"sub3"</span>
<span class="n">sub3</span><span class="o">.</span><span class="n">mkdir</span><span class="p">()</span>
<span class="p">(</span><span class="n">sub1</span> <span class="o">/</span> <span class="s2">"file11.BMP"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"fake image"</span><span class="p">)</span>
<span class="p">(</span><span class="n">sub1</span><span class="o">/</span><span class="s2">"file12 haha.jpg"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"fake image"</span><span class="p">)</span>
<span class="p">(</span><span class="n">sub1</span> <span class="o">/</span> <span class="s2">"file13 haha.txt"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"not image"</span><span class="p">)</span>
<span class="n">IMG_RGB</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sub1</span> <span class="o">/</span> <span class="s2">"img14_good.jpg"</span><span class="p">)</span>
<span class="n">IMG_RGBA</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sub1</span> <span class="o">/</span> <span class="s2">"img15_good.png"</span><span class="p">)</span>
<span class="p">(</span><span class="n">sub2</span> <span class="o">/</span> <span class="s2">"file21.jpg"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"fake image"</span><span class="p">)</span>
<span class="p">(</span><span class="n">sub2</span> <span class="o">/</span> <span class="s2">"file22.jpeg"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"fake image"</span><span class="p">)</span>
<span class="p">(</span><span class="n">sub3</span> <span class="o">/</span> <span class="s2">"file31.jpeg"</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"fake image"</span><span class="p">)</span>
<span class="n">IMG_RGB</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sub3</span> <span class="o">/</span> <span class="s2">"img32_good.jpeg"</span><span class="p">)</span>
<span class="n">IMG_RGBA</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sub3</span> <span class="o">/</span> <span class="s2">"img33_good.bmp"</span><span class="p">)</span>
<span class="n">good</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">()</span>
<span class="n">bad</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"Existing files:"</span><span class="p">)</span>
<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">root</span><span class="o">.</span><span class="n">rglob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">" * </span><span class="si">{</span><span class="n">file</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="k">if</span> <span class="n">file</span><span class="o">.</span><span class="n">suffix</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">".jpg"</span><span class="p">,</span> <span class="s2">".jpeg"</span><span class="p">,</span> <span class="s2">".png"</span><span class="p">,</span> <span class="s2">".bmp"</span><span class="p">]:</span>
<span class="p">(</span><span class="n">good</span> <span class="k">if</span> <span class="s2">"good"</span> <span class="ow">in</span> <span class="n">file</span><span class="o">.</span><span class="n">name</span> <span class="k">else</span> <span class="n">bad</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>
<span class="nb">print</span><span class="p">(</span><span class="s2">" => CLEANING"</span><span class="p">)</span>
<span class="n">clean_error_img</span><span class="p">(</span><span class="n">root</span><span class="p">,</span> <span class="n">progress</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">good_removed</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">good</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">f</span><span class="o">.</span><span class="n">is_file</span><span class="p">()]</span>
<span class="k">assert</span> <span class="ow">not</span> <span class="n">good_removed</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"Good pictures deleted: </span><span class="si">{</span><span class="n">good_removed</span><span class="si">}</span><span class="s2">"</span>
<span class="n">bad_still_here</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">bad</span> <span class="k">if</span> <span class="n">f</span><span class="o">.</span><span class="n">is_file</span><span class="p">()]</span>
<span class="k">assert</span> <span class="ow">not</span> <span class="n">bad_still_here</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"Bad pictures not deleted: </span><span class="si">{</span><span class="n">bad_still_here</span><span class="si">}</span><span class="s2">"</span>
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<h2 id="Magic-function-[`hush`](/unpackai/utils.html#hush)">Magic function <code>[`hush`](/unpackai/utils.html#hush)</code><a class="anchor-link" href="#Magic-function-[`hush`](/unpackai/utils.html#hush)"> </a></h2><blockquote><p>Run things quietly...</p>
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<p>This is a magical cell function, so remember to use the <code>%%</code></p>
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<p>Now we have 2 versions of hush, the 1st on is the backup one, that using ipywidget as event trigger</p>
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<p>But this version of <code>toggle action</code> will be stuck by the ongoing interactive</p>
<p>If the process is working on some thing, you can't toggle until the end of the execution.</p>
<p>The further improvement will be move the toggle entirely to JavaScript, hence the second version</p>
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<h3 id="Hush-event-in-JS">Hush event in JS<a class="anchor-link" href="#Hush-event-in-JS"> </a></h3><blockquote><p>As not going through any amount of python backend after run</p>
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<h4 id="hush" class="doc_header"><code>hush</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L114" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>hush</code>(<strong><code>line</code></strong>, <strong><code>cell</code></strong>)</p>
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<p>A magic cell function to collapse the print out
%%hush
how_loud = 100
how_verbose = "very"
do_some_python_thing(how_loud, how_verbose)</p>
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<h3 id="Try-hushing-various-kinds-of-info">Try hushing various kinds of info<a class="anchor-link" href="#Try-hushing-various-kinds-of-info"> </a></h3>
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<ul>
<li>html display</li>
<li>print</li>
<li>logging</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">hush</span>
import pandas as pd
import logging
logging.getLogger().setLevel('DEBUG')
a = 1
for i in range(1000):
print(i, end="\t")
logging.info("a lots of text, VERBOSITY!!"*100)
# a big dataframe
display(pd.DataFrame({"a":[1,2]*50}))
# a big output
pd.DataFrame({"b":range(100)})
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console.info("loading toggle event: 00d9724d-55e4-4ab8-b426-5e92f71f593c")
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var op = document.querySelector(".hush_output_00d9724d-55e4-4ab8-b426-5e92f71f593c");
if(op.style.display=="none"){
op.style.display="block"
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<h3 id="Capable-of-open/close-verbosity-during-the-main-process">Capable of open/close verbosity during the main process<a class="anchor-link" href="#Capable-of-open/close-verbosity-during-the-main-process"> </a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">hush</span>
from time import sleep
for i in tqdm(range(10)):
sleep(1)
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<h3 id="But-we-still-want-the-error-to-be-loud">But we still want the error to be loud<a class="anchor-link" href="#But-we-still-want-the-error-to-be-loud"> </a></h3><blockquote><p>As such information should interrupt the user</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">hush</span>
def _test_hush():
for i in range(20):
print(f"some logging:\t{i}!")
raise ValueError("but some error, because life!")
# Testing hush when exception is raised
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var op = document.querySelector(".hush_output_33d84ffd-6fef-48a7-8ddc-26ef5ec8513b");
if(op.style.display=="none"){
op.style.display="block"
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<p>Return static path</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">test_find_static</span><span class="p">():</span>
<span class="n">error_report_html</span> <span class="o">=</span> <span class="n">STATIC</span><span class="o">/</span><span class="s2">"html"</span><span class="o">/</span><span class="s2">"bug"</span><span class="o">/</span><span class="s2">"error_report.html"</span>
<span class="k">assert</span> <span class="p">(</span><span class="n">error_report_html</span><span class="p">)</span><span class="o">.</span><span class="n">is_file</span><span class="p">(),</span> <span class="sa">f</span><span class="s2">"'</span><span class="si">{</span><span class="n">STATIC</span><span class="si">}</span><span class="s2">' is not a valid static path"</span>
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<h2 id="Listing-files-in-DataFrame">Listing files in DataFrame<a class="anchor-link" href="#Listing-files-in-DataFrame"> </a></h2>
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<p>Convert a size in bytes (as float) to a size with unit (as a string)</p>
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<h4 id="ls" class="doc_header"><code>ls</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L240" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>ls</code>(<strong><code>root</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>], <strong><code>exclude</code></strong>:<code>List</code>[<code>str</code>]=<em><code>None</code></em>, <strong><code>hide_info</code></strong>=<em><code>False</code></em>)</p>
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<p>Return a DataFrame with list of files & directories in a given path.</p>
<p>Args:
root: root path to look for files and directories recursively
exclude: optional list of names to exclude in the search (e.g. <code>[".git"]</code>)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span>
<span class="s2">"size,exp"</span><span class="p">,</span>
<span class="p">[</span>
<span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="s2">"0.00 B"</span><span class="p">),</span>
<span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="s2">"1.00 B"</span><span class="p">),</span>
<span class="p">(</span><span class="mi">1024</span><span class="p">,</span> <span class="s2">"1.00 KB"</span><span class="p">),</span>
<span class="p">(</span><span class="mi">1024</span> <span class="o">**</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"1.00 MB"</span><span class="p">),</span>
<span class="p">(</span><span class="mi">1024</span> <span class="o">**</span> <span class="mi">3</span> <span class="o">*</span> <span class="mf">3.14</span><span class="p">,</span> <span class="s2">"3.14 GB"</span><span class="p">),</span>
<span class="p">],</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">test_friendly_size</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">exp</span><span class="p">):</span>
<span class="sd">"""Test computation of friendly size (human readable)"""</span>
<span class="k">assert</span> <span class="n">friendly_size</span><span class="p">(</span><span class="n">size</span><span class="p">)</span> <span class="o">==</span> <span class="n">exp</span>
</pre></div>
</div>
</div>
</div>
</div>
{% endraw %}
{% raw %}
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="nd">@pytest</span><span class="o">.</span><span class="n">fixture</span>
<span class="k">def</span> <span class="nf">populated_tmp_dir</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">):</span>
<span class="sd">"""Create files to test `ls` function"""</span>
<span class="n">tmpdir</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span>
<span class="k">for</span> <span class="n">dir_</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"dir1/subdir1"</span><span class="p">,</span> <span class="s2">"dir1/subdir2"</span><span class="p">,</span> <span class="s2">"dir2"</span><span class="p">]:</span>
<span class="p">(</span><span class="n">tmpdir</span> <span class="o">/</span> <span class="n">dir_</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"at_root.txt"</span><span class="p">,</span> <span class="s2">"dir1/subdir1/at_subdir.txt"</span><span class="p">,</span> <span class="s2">"dir2/at_dir.txt"</span><span class="p">]:</span>
<span class="p">(</span><span class="n">tmpdir</span> <span class="o">/</span> <span class="n">file</span><span class="p">)</span><span class="o">.</span><span class="n">write_text</span><span class="p">(</span><span class="s2">"unpackai"</span><span class="p">)</span>
<span class="p">(</span><span class="n">tmpdir</span> <span class="o">/</span> <span class="s2">"dir1"</span> <span class="o">/</span> <span class="s2">"subdir2"</span> <span class="o">/</span> <span class="s2">"some_pickle.pkl"</span><span class="p">)</span><span class="o">.</span><span class="n">write_bytes</span><span class="p">(</span><span class="sa">b</span><span class="s2">"3141590000"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">tmpdir</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="n">exp_columns</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"Name"</span><span class="p">,</span>
<span class="s2">"Parent"</span><span class="p">,</span>
<span class="s2">"Path"</span><span class="p">,</span>
<span class="s2">"Level"</span><span class="p">,</span>
<span class="s2">"Last_Modif"</span><span class="p">,</span>
<span class="s2">"FileDir"</span><span class="p">,</span>
<span class="s2">"Extension"</span><span class="p">,</span>
<span class="s2">"Type"</span><span class="p">,</span>
<span class="s2">"Size"</span><span class="p">,</span>
<span class="s2">"Friendly_Size"</span><span class="p">,</span>
<span class="p">]</span>
<span class="k">def</span> <span class="nf">test_ls</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">):</span>
<span class="sd">"""Test DataFrame generated by `ls` function"""</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">ls</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">)</span>
<span class="n">now</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
<span class="k">assert</span> <span class="nb">list</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">==</span> <span class="n">exp_columns</span><span class="p">,</span> <span class="s2">"Incorrect columns in DF"</span>
<span class="c1"># We want to copy the list of expecgted columns to keep it intact</span>
<span class="n">columns</span> <span class="o">=</span> <span class="n">exp_columns</span><span class="p">[:]</span>
<span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="n">now</span> <span class="o">-</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span> <span class="o"><</span> <span class="n">date</span> <span class="o"><</span> <span class="n">now</span> <span class="k">for</span> <span class="n">date</span> <span class="ow">in</span> <span class="n">df</span><span class="p">[</span><span class="s2">"Last_Modif"</span><span class="p">])</span>
<span class="n">df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">"Last_Modif"</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">columns</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s2">"Last_Modif"</span><span class="p">)</span>
<span class="c1"># We check the file "at_root.txt" and do some cleanup</span>
<span class="n">at_root</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s2">"Name"</span><span class="p">]</span> <span class="o">==</span> <span class="s2">"at_root.txt"</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">assert</span> <span class="n">Path</span><span class="p">(</span><span class="n">at_root</span><span class="p">[</span><span class="s2">"Path"</span><span class="p">])</span> <span class="o">==</span> <span class="n">populated_tmp_dir</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span> <span class="o">/</span> <span class="s2">"at_root.txt"</span>
<span class="k">assert</span> <span class="n">at_root</span><span class="p">[</span><span class="s2">"Friendly_Size"</span><span class="p">]</span> <span class="o">==</span> <span class="n">friendly_size</span><span class="p">(</span><span class="n">at_root</span><span class="p">[</span><span class="s2">"Size"</span><span class="p">])</span>
<span class="n">df</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s2">"Path"</span><span class="p">,</span> <span class="s2">"Friendly_Size"</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">columns</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s2">"Path"</span><span class="p">)</span>
<span class="n">columns</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s2">"Friendly_Size"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"===TRUNCATED DF FOR LIST OF FILES/DIR==="</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"="</span> <span class="o">*</span> <span class="mi">20</span><span class="p">)</span>
<span class="n">exp_root_dir</span> <span class="o">=</span> <span class="n">populated_tmp_dir</span><span class="o">.</span><span class="n">name</span>
<span class="n">df_exp</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="p">[</span>
<span class="p">(</span><span class="s2">"at_root.txt"</span><span class="p">,</span> <span class="n">exp_root_dir</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"File"</span><span class="p">,</span> <span class="s2">".txt"</span><span class="p">,</span> <span class="s2">"text/plain"</span><span class="p">,</span> <span class="mf">8.0</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"dir1"</span><span class="p">,</span> <span class="n">exp_root_dir</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"Dir"</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"subdir1"</span><span class="p">,</span> <span class="s2">"dir1"</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"Dir"</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"at_subdir.txt"</span><span class="p">,</span> <span class="s2">"subdir1"</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"File"</span><span class="p">,</span> <span class="s2">".txt"</span><span class="p">,</span> <span class="s2">"text/plain"</span><span class="p">,</span> <span class="mf">8.0</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"subdir2"</span><span class="p">,</span> <span class="s2">"dir1"</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"Dir"</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"some_pickle.pkl"</span><span class="p">,</span> <span class="s2">"subdir2"</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="s2">"File"</span><span class="p">,</span> <span class="s2">".pkl"</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"dir2"</span><span class="p">,</span> <span class="n">exp_root_dir</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"Dir"</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">),</span>
<span class="p">(</span><span class="s2">"at_dir.txt"</span><span class="p">,</span> <span class="s2">"dir2"</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">"File"</span><span class="p">,</span> <span class="s2">".txt"</span><span class="p">,</span> <span class="s2">"text/plain"</span><span class="p">,</span> <span class="mf">8.0</span><span class="p">),</span>
<span class="p">],</span>
<span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span>
<span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"===EXPECTED DF FOR LIST OF FILES/DIR==="</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df_exp</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"="</span> <span class="o">*</span> <span class="mi">20</span><span class="p">)</span>
<span class="n">compare_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">compare</span><span class="p">(</span><span class="n">df_exp</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
<span class="k">assert</span> <span class="n">compare_df</span><span class="o">.</span><span class="n">empty</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"Differences found when checking DF:</span><span class="se">\n</span><span class="si">{</span><span class="n">compare_df</span><span class="si">}</span><span class="s2">"</span>
<span class="n">exp_files</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"at_root.txt"</span><span class="p">,</span>
<span class="s2">"dir1"</span><span class="p">,</span>
<span class="s2">"subdir1"</span><span class="p">,</span>
<span class="s2">"at_subdir.txt"</span><span class="p">,</span>
<span class="s2">"subdir2"</span><span class="p">,</span>
<span class="s2">"some_pickle.pkl"</span><span class="p">,</span>
<span class="s2">"dir2"</span><span class="p">,</span>
<span class="s2">"at_dir.txt"</span><span class="p">,</span>
<span class="p">]</span>
<span class="n">exp_dir1</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"at_root.txt"</span><span class="p">,</span> <span class="s2">"dir2"</span><span class="p">,</span> <span class="s2">"at_dir.txt"</span><span class="p">]</span>
<span class="n">exp_dir2</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"at_root.txt"</span><span class="p">,</span>
<span class="s2">"dir1"</span><span class="p">,</span>
<span class="s2">"subdir1"</span><span class="p">,</span>
<span class="s2">"subdir2"</span><span class="p">,</span>
<span class="s2">"at_subdir.txt"</span><span class="p">,</span>
<span class="s2">"some_pickle.pkl"</span><span class="p">,</span>
<span class="p">]</span>
<span class="n">exp_subdir</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"at_root.txt"</span><span class="p">,</span>
<span class="s2">"dir1"</span><span class="p">,</span>
<span class="s2">"dir2"</span><span class="p">,</span>
<span class="s2">"subdir2"</span><span class="p">,</span>
<span class="s2">"some_pickle.pkl"</span><span class="p">,</span>
<span class="s2">"at_dir.txt"</span><span class="p">,</span>
<span class="p">]</span>
<span class="n">exp_dir2_subdir</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"at_root.txt"</span><span class="p">,</span> <span class="s2">"dir1"</span><span class="p">,</span> <span class="s2">"subdir2"</span><span class="p">,</span> <span class="s2">"some_pickle.pkl"</span><span class="p">]</span>
<span class="k">def</span> <span class="nf">test_ls_path_as_str</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">):</span>
<span class="sd">"""Test `ls` function called with a string for path"""</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">ls</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">))</span>
<span class="k">assert</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"Name"</span><span class="p">])</span> <span class="o">==</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">exp_files</span><span class="p">)</span>
<span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span>
<span class="s2">"exclude, exp"</span><span class="p">,</span>
<span class="p">[</span>
<span class="p">([],</span> <span class="n">exp_files</span><span class="p">),</span>
<span class="p">([</span><span class="s2">"I am not a Dir"</span><span class="p">],</span> <span class="n">exp_files</span><span class="p">),</span>
<span class="p">([</span><span class="s2">"dir1"</span><span class="p">],</span> <span class="n">exp_dir1</span><span class="p">),</span>
<span class="p">([</span><span class="s2">"dir2"</span><span class="p">],</span> <span class="n">exp_dir2</span><span class="p">),</span>
<span class="p">([</span><span class="s2">"subdir1"</span><span class="p">],</span> <span class="n">exp_subdir</span><span class="p">),</span>
<span class="p">([</span><span class="s2">"subdir1"</span><span class="p">,</span> <span class="s2">"dir2"</span><span class="p">],</span> <span class="n">exp_dir2_subdir</span><span class="p">),</span>
<span class="p">],</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">test_ls_exclude</span><span class="p">(</span><span class="n">exclude</span><span class="p">,</span> <span class="n">exp</span><span class="p">,</span> <span class="n">populated_tmp_dir</span><span class="p">):</span>
<span class="sd">"""Test `ls` function with an exclusion of some directories"""</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">ls</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">,</span> <span class="n">exclude</span><span class="o">=</span><span class="n">exclude</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">"Name"</span><span class="p">])</span> <span class="o">==</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">exp</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">test_ls_no_info</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">):</span>
<span class="sd">"""Test `ls` function with `hide_info` set to True"""</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">ls</span><span class="p">(</span><span class="n">populated_tmp_dir</span><span class="p">,</span> <span class="n">hide_info</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">set</span><span class="p">(</span><span class="n">exp_columns</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">==</span> <span class="p">{</span><span class="s2">"Size"</span><span class="p">,</span> <span class="s2">"Friendly_Size"</span><span class="p">}</span>
<span class="k">def</span> <span class="nf">test_ls_not_exist</span><span class="p">():</span>
<span class="sd">"""Test `ls` when path does not exist"""</span>
<span class="k">with</span> <span class="n">pytest</span><span class="o">.</span><span class="n">raises</span><span class="p">(</span><span class="ne">FileNotFoundError</span><span class="p">):</span>
<span class="n">ls</span><span class="p">(</span><span class="s2">"this_path_does_not_exist"</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">test_not_dir</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">):</span>
<span class="sd">"""Test `ls` if root is a file and not a dir"""</span>
<span class="n">file_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">tmpdir</span><span class="p">)</span> <span class="o">/</span> <span class="s2">"toto.txt"</span>
<span class="n">file_path</span><span class="o">.</span><span class="n">touch</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">with</span> <span class="n">pytest</span><span class="o">.</span><span class="n">raises</span><span class="p">(</span><span class="ne">FileNotFoundError</span><span class="p">):</span>
<span class="n">ls</span><span class="p">(</span><span class="n">file_path</span><span class="p">)</span>
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<h2 id="GraphViz">GraphViz<a class="anchor-link" href="#GraphViz"> </a></h2><p>Drawing a Graphviz Graph in Jupyter</p>
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<h4 id="gv" class="doc_header"><code>gv</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/utils.py#L257" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>gv</code>(<strong><code>source</code></strong>:<code>str</code>, <strong><code>rankdir</code></strong>=<em><code>'LR'</code></em>)</p>
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<p>Generate a GraphViz diagram, with a settable orientation (i.e. rankdir)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gv</span><span class="p">(</span><span class="s2">"program[shape=box3d width=1 height=0.7] inputs->program->results"</span><span class="p">)</span><span class="o">.</span><span class="vm">__dict__</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nd">@pytest</span><span class="o">.</span><span class="n">mark</span><span class="o">.</span><span class="n">parametrize</span><span class="p">(</span><span class="s2">"rankdir"</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="s2">"LR"</span><span class="p">,</span> <span class="s2">"TD"</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">test_gv</span><span class="p">(</span><span class="n">rankdir</span><span class="p">):</span>
<span class="sd">"""Test Graphviz Generation via `gv`"""</span>
<span class="n">src</span> <span class="o">=</span> <span class="s2">"inputs->program->results"</span>
<span class="k">if</span> <span class="n">rankdir</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">graph</span> <span class="o">=</span> <span class="n">gv</span><span class="p">(</span><span class="n">src</span><span class="p">)</span>
<span class="n">rankdir</span> <span class="o">=</span> <span class="s2">"LR"</span> <span class="c1"># default orientation</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">graph</span> <span class="o">=</span> <span class="n">gv</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">rankdir</span><span class="o">=</span><span class="n">rankdir</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span>
<span class="n">graph</span><span class="p">,</span> <span class="n">graphviz</span><span class="o">.</span><span class="n">Source</span>
<span class="p">),</span> <span class="sa">f</span><span class="s2">"Output shall be a GraphViz Source (but is </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">graph</span><span class="p">)</span><span class="si">}</span><span class="s2">)"</span>
<span class="n">gv_src</span> <span class="o">=</span> <span class="n">graph</span><span class="o">.</span><span class="n">source</span>
<span class="k">assert</span> <span class="n">gv_src</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"digraph"</span><span class="p">),</span> <span class="sa">f</span><span class="s2">"Source is not a digraph: </span><span class="si">{</span><span class="n">gv_src</span><span class="si">}</span><span class="s2">"</span>
<span class="k">assert</span> <span class="n">src</span> <span class="ow">in</span> <span class="n">gv_src</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"Source input not in Graph Source: </span><span class="si">{</span><span class="n">gv_src</span><span class="si">}</span><span class="s2">"</span>
<span class="k">assert</span> <span class="sa">f</span><span class="s1">'rankdir="</span><span class="si">{</span><span class="n">rankdir</span><span class="si">}</span><span class="s1">"'</span> <span class="ow">in</span> <span class="n">gv_src</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"Rankdir </span><span class="si">{</span><span class="n">rankdir</span><span class="si">}</span><span class="s2"> not found: </span><span class="si">{</span><span class="n">gv_src</span><span class="si">}</span><span class="s2">"</span>
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<h2 id="Download-and-unzip-utilities">Download and unzip utilities<a class="anchor-link" href="#Download-and-unzip-utilities"> </a></h2>
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