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Plot, profile, animation and appendix
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‎README.md

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@@ -2344,13 +2344,13 @@ Plot
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----
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```python
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# $ pip3 install matplotlib
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from matplotlib import pyplot
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pyplot.plot(<y_data> [, label=<str>])
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pyplot.plot(<x_data>, <y_data>)
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pyplot.legend() # Adds a legend.
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pyplot.savefig(<path>) # Saves the figure.
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pyplot.show() # Displays the figure.
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pyplot.clf() # Clears the figure.
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import matplotlib.pyplot as plt
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plt.plot(<y_data> [, label=<str>])
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plt.plot(<x_data>, <y_data>)
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plt.legend() # Adds a legend.
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plt.savefig(<path>) # Saves the figure.
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plt.show() # Displays the figure.
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plt.clf() # Clears the figure.
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```
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=======================================================
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1 @profile
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2 def main():
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3 1 1128.0 1128.0 27.4 a = [*range(10000)]
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4 1 2994.0 2994.0 72.6 b = {*range(10000)}
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3 1 955.0 955.0 43.7 a = [*range(10000)]
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4 1 1231.0 1231.0 56.3 b = {*range(10000)}
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```
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```text
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$ python3 -m memory_profiler test.py
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Line # Mem usage Increment Line Contents
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=======================================================
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1 35.387 MiB 35.387 MiB @profile
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1 37.668 MiB 37.668 MiB @profile
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2 def main():
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3 35.734 MiB 0.348 MiB a = [*range(10000)]
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4 36.160 MiB 0.426 MiB b = {*range(10000)}
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3 38.012 MiB 0.344 MiB a = [*range(10000)]
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4 38.477 MiB 0.465 MiB b = {*range(10000)}
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```
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### Call Graph
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---------
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#### Creates a GIF of a bouncing ball:
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```python
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# $ pip3 install pillow imageio
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# $ pip3 install imageio
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from PIL import Image, ImageDraw
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import imageio
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WIDTH, R = 126, 10
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#
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from sys import argv, exit
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from collections import Counter, defaultdict, namedtuple
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from collections import defaultdict, namedtuple
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from dataclasses import make_dataclass
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from enum import Enum
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import functools, itertools, operator as op, re

‎index.html

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<div><h2 id="plot"><a href="#plot" name="plot">#</a>Plot</h2><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install matplotlib</span>
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<span class="hljs-keyword">from</span> matplotlib <span class="hljs-keyword">import</span> pyplot
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pyplot.plot(&lt;y_data&gt; [, label=&lt;str&gt;])
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pyplot.plot(&lt;x_data&gt;, &lt;y_data&gt;)
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pyplot.legend() <span class="hljs-comment"># Adds a legend.</span>
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pyplot.savefig(&lt;path&gt;) <span class="hljs-comment"># Saves the figure.</span>
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pyplot.show() <span class="hljs-comment"># Displays the figure.</span>
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pyplot.clf() <span class="hljs-comment"># Clears the figure.</span>
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<span class="hljs-keyword">import</span> matplotlib.pyplot <span class="hljs-keyword">as</span> plt
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plt.plot(&lt;y_data&gt; [, label=&lt;str&gt;])
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plt.plot(&lt;x_data&gt;, &lt;y_data&gt;)
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plt.legend() <span class="hljs-comment"># Adds a legend.</span>
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plt.savefig(&lt;path&gt;) <span class="hljs-comment"># Saves the figure.</span>
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plt.show() <span class="hljs-comment"># Displays the figure.</span>
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plt.clf() <span class="hljs-comment"># Clears the figure.</span>
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</code></pre></div>
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<div><h2 id="table"><a href="#table" name="table">#</a>Table</h2><div><h4 id="printsacsvfileasanasciitable">Prints a CSV file as an ASCII table:</h4><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install tabulate</span>
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=======================================================
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1 @profile
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2 def main():
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3 1 1128.0 1128.0 27.4 a = [*range(10000)]
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4 1 2994.0 2994.0 72.6 b = {*range(10000)}
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3 1 955.0 955.0 43.7 a = [*range(10000)]
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4 1 1231.0 1231.0 56.3 b = {*range(10000)}
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</code></pre>
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<pre><code class="text language-text">$ python3 -m memory_profiler test.py
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Line # Mem usage Increment Line Contents
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=======================================================
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1 35.387 MiB 35.387 MiB @profile
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1 37.668 MiB 37.668 MiB @profile
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2 def main():
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3 35.734 MiB 0.348 MiB a = [*range(10000)]
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4 36.160 MiB 0.426 MiB b = {*range(10000)}
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3 38.012 MiB 0.344 MiB a = [*range(10000)]
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4 38.477 MiB 0.465 MiB b = {*range(10000)}
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</code></pre>
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<div><h3 id="callgraph">Call Graph</h3><div><h4 id="generatesapngimageofacallgraphwithhighlightedbottlenecks">Generates a PNG image of a call graph with highlighted bottlenecks:</h4><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install pycallgraph</span>
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<span class="hljs-keyword">from</span> pycallgraph <span class="hljs-keyword">import</span> output, PyCallGraph
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<li><strong>Use <code class="python hljs"><span class="hljs-string">'outline=&lt;color&gt;'</span></code> to set the secondary color.</strong></li>
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<li><strong>Color can be specified as an int, tuple, <code class="python hljs"><span class="hljs-string">'#rrggbb[aa]'</span></code> string or a color name.</strong></li>
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</ul>
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<div><h2 id="animation"><a href="#animation" name="animation">#</a>Animation</h2><div><h4 id="createsagifofabouncingball">Creates a GIF of a bouncing ball:</h4><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install pillow imageio</span>
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<div><h2 id="animation"><a href="#animation" name="animation">#</a>Animation</h2><div><h4 id="createsagifofabouncingball">Creates a GIF of a bouncing ball:</h4><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install imageio</span>
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<span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image, ImageDraw
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<span class="hljs-keyword">import</span> imageio
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WIDTH, R = <span class="hljs-number">126</span>, <span class="hljs-number">10</span>
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<span class="hljs-comment">#</span>
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<span class="hljs-keyword">from</span> sys <span class="hljs-keyword">import</span> argv, exit
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<span class="hljs-keyword">from</span> collections <span class="hljs-keyword">import</span> Counter, defaultdict, namedtuple
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<span class="hljs-keyword">from</span> collections <span class="hljs-keyword">import</span> defaultdict, namedtuple
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<span class="hljs-keyword">from</span> dataclasses <span class="hljs-keyword">import</span> make_dataclass
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<span class="hljs-keyword">from</span> enum <span class="hljs-keyword">import</span> Enum
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<span class="hljs-keyword">import</span> functools, itertools, operator <span class="hljs-keyword">as</span> op, re

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