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536 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[1]:·</span><span·class="kn">import</span>·<span·class="nn">numpy.random</span>536 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[1]:·</span><span·class="kn">import</span>·<span·class="nn">numpy.random</span>
  
537 <span·class="gp">In·[2]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>537 <span·class="gp">In·[2]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
538 <span·class="gp">In·[3]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_normal(100000)538 <span·class="gp">In·[3]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_normal(100000)
539 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_normal(100000)539 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_normal(100000)
540 <span·class="gp">···...:·</span>540 <span·class="gp">···...:·</span>
541 <span·class="go">1.39·ms·+-·52.3·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>541 <span·class="go">1.48·ms·+-·31.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
542 <span·class="go">2.55·ms·+-·334·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>542 <span·class="go">2.85·ms·+-·16.6·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
543 </pre></div>543 </pre></div>
544 </div>544 </div>
545 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_exponential(100000)545 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_exponential(100000)
546 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_exponential(100000)546 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_exponential(100000)
547 <span·class="gp">···...:·</span>547 <span·class="gp">···...:·</span>
548 <span·class="go">651·us·+-·126·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>548 <span·class="go">701·us·+-·19.7·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
549 <span·class="go">1.44·ms·+-·108·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>549 <span·class="go">2.04·ms·+-·27.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
550 </pre></div>550 </pre></div>
551 </div>551 </div>
552 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_gamma(3.0,·100000)552 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·rng.standard_gamma(3.0,·100000)
553 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_gamma(3.0,·100000)553 <span·class="gp">···...:·</span><span·class="o">%</span><span·class="k">timeit</span>·-n·1·numpy.random.standard_gamma(3.0,·100000)
554 <span·class="gp">···...:·</span>554 <span·class="gp">···...:·</span>
 555 <span·class="go">2.85·ms·+-·53.4·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
555 <span·class="go">3.15·ms·+-·175·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>556 <span·class="go">6.54·ms·+-·975·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span>
556 <span·class="go">4.58·ms·+-·277·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)</span> 
557 </pre></div>557 </pre></div>
558 </div>558 </div>
559 <ul·class="simple">559 <ul·class="simple">
560 <li><p><a·class="reference·internal"·href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers"·title="numpy.random.Generator.integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">integers</span></code></a>·is·now·the·canonical·way·to·generate·integer560 <li><p><a·class="reference·internal"·href="generated/numpy.random.Generator.integers.html#numpy.random.Generator.integers"·title="numpy.random.Generator.integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">integers</span></code></a>·is·now·the·canonical·way·to·generate·integer
561 random·numbers·from·a·discrete·uniform·distribution.·This·replaces·both561 random·numbers·from·a·discrete·uniform·distribution.·This·replaces·both
562 <a·class="reference·internal"·href="generated/numpy.random.randint.html#numpy.random.randint"·title="numpy.random.randint"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randint</span></code></a>·and·the·deprecated·<a·class="reference·internal"·href="generated/numpy.random.random_integers.html#numpy.random.random_integers"·title="numpy.random.random_integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random_integers</span></code></a>.</p></li>562 <a·class="reference·internal"·href="generated/numpy.random.randint.html#numpy.random.randint"·title="numpy.random.randint"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randint</span></code></a>·and·the·deprecated·<a·class="reference·internal"·href="generated/numpy.random.random_integers.html#numpy.random.random_integers"·title="numpy.random.random_integers"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random_integers</span></code></a>.</p></li>
563 <li><p>The·<a·class="reference·internal"·href="generated/numpy.random.rand.html#numpy.random.rand"·title="numpy.random.rand"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">rand</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.randn.html#numpy.random.randn"·title="numpy.random.randn"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randn</span></code></a>·methods·are·only·available·through·the·legacy563 <li><p>The·<a·class="reference·internal"·href="generated/numpy.random.rand.html#numpy.random.rand"·title="numpy.random.rand"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">rand</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.randn.html#numpy.random.randn"·title="numpy.random.randn"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">randn</span></code></a>·methods·are·only·available·through·the·legacy
Offset 586, 21 lines modifiedOffset 586, 21 lines modified
586 <li><p>Standard·Exponentials·(<a·class="reference·internal"·href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential"·title="numpy.random.Generator.standard_exponential"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">standard_exponential</span></code></a>)</p></li>586 <li><p>Standard·Exponentials·(<a·class="reference·internal"·href="generated/numpy.random.Generator.standard_exponential.html#numpy.random.Generator.standard_exponential"·title="numpy.random.Generator.standard_exponential"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">standard_exponential</span></code></a>)</p></li>
587 </ul>587 </ul>
588 </li>588 </li>
589 </ul>589 </ul>
590 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[6]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>590 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[6]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
591 <span·class="gp">In·[7]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float64</span><span·class="p">)</span>591 <span·class="gp">In·[7]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float64</span><span·class="p">)</span>
592 <span·class="gh">Out[7]:·</span><span·class="go">array([0.70547514,·0.08925294,·0.40291075])</span>592 <span·class="gh">Out[7]:·</span><span·class="go">array([0.1171073·,·0.60991664,·0.51373836])</span>
  
593 <span·class="gp">In·[8]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float32</span><span·class="p">)</span>593 <span·class="gp">In·[8]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">float32</span><span·class="p">)</span>
594 <span·class="gh">Out[8]:·</span><span·class="go">array([0.7055436·,·0.81983244,·0.7707724·],·dtype=float32)</span>594 <span·class="gh">Out[8]:·</span><span·class="go">array([0.14971465,·0.04142678,·0.91847485],·dtype=float32)</span>
  
595 <span·class="gp">In·[9]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">integers</span><span·class="p">(</span><span·class="mi">0</span><span·class="p">,</span>·<span·class="mi">256</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">uint8</span><span·class="p">)</span>595 <span·class="gp">In·[9]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">integers</span><span·class="p">(</span><span·class="mi">0</span><span·class="p">,</span>·<span·class="mi">256</span><span·class="p">,</span>·<span·class="n">size</span><span·class="o">=</span><span·class="mi">3</span><span·class="p">,</span>·<span·class="n">dtype</span><span·class="o">=</span><span·class="n">np</span><span·class="o">.</span><span·class="n">uint8</span><span·class="p">)</span>
596 <span·class="gh">Out[9]:·</span><span·class="go">array([·48,··53,·194],·dtype=uint8)</span>596 <span·class="gh">Out[9]:·</span><span·class="go">array([198,·105,·169],·dtype=uint8)</span>
597 </pre></div>597 </pre></div>
598 </div>598 </div>
599 <ul>599 <ul>
600 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">out</span></code>·argument·that·allows·existing·arrays·to·be·filled·for600 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">out</span></code>·argument·that·allows·existing·arrays·to·be·filled·for
601 select·distributions</p>601 select·distributions</p>
602 <ul·class="simple">602 <ul·class="simple">
603 <li><p>Uniforms·(<a·class="reference·internal"·href="generated/numpy.random.Generator.random.html#numpy.random.Generator.random"·title="numpy.random.Generator.random"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random</span></code></a>)</p></li>603 <li><p>Uniforms·(<a·class="reference·internal"·href="generated/numpy.random.Generator.random.html#numpy.random.Generator.random"·title="numpy.random.Generator.random"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">random</span></code></a>)</p></li>
Offset 613, 18 lines modifiedOffset 613, 18 lines modified
613 </li>613 </li>
614 </ul>614 </ul>
615 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[10]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>615 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[10]:·</span><span·class="n">rng</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">random</span><span·class="o">.</span><span·class="n">default_rng</span><span·class="p">()</span>
  
616 <span·class="gp">In·[11]:·</span><span·class="n">existing</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">zeros</span><span·class="p">(</span><span·class="mi">4</span><span·class="p">)</span>616 <span·class="gp">In·[11]:·</span><span·class="n">existing</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">zeros</span><span·class="p">(</span><span·class="mi">4</span><span·class="p">)</span>
  
617 <span·class="gp">In·[12]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="n">out</span><span·class="o">=</span><span·class="n">existing</span><span·class="p">[:</span><span·class="mi">2</span><span·class="p">])</span>617 <span·class="gp">In·[12]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">random</span><span·class="p">(</span><span·class="n">out</span><span·class="o">=</span><span·class="n">existing</span><span·class="p">[:</span><span·class="mi">2</span><span·class="p">])</span>
618 <span·class="gh">Out[12]:·</span><span·class="go">array([0.83725004,·0.59525983])</span>618 <span·class="gh">Out[12]:·</span><span·class="go">array([0.46374678,·0.08005731])</span>
  
619 <span·class="gp">In·[13]:·</span><span·class="nb">print</span><span·class="p">(</span><span·class="n">existing</span><span·class="p">)</span>619 <span·class="gp">In·[13]:·</span><span·class="nb">print</span><span·class="p">(</span><span·class="n">existing</span><span·class="p">)</span>
620 <span·class="go">[0.83725004·0.59525983·0.·········0.········]</span>620 <span·class="go">[0.46374678·0.08005731·0.·········0.········]</span>
621 </pre></div>621 </pre></div>
622 </div>622 </div>
623 <ul·class="simple">623 <ul·class="simple">
624 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">axis</span></code>·argument·for·methods·like·<a·class="reference·internal"·href="generated/numpy.random.Generator.choice.html#numpy.random.Generator.choice"·title="numpy.random.Generator.choice"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">choice</span></code></a>,624 <li><p>Optional·<code·class="docutils·literal·notranslate"><span·class="pre">axis</span></code>·argument·for·methods·like·<a·class="reference·internal"·href="generated/numpy.random.Generator.choice.html#numpy.random.Generator.choice"·title="numpy.random.Generator.choice"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">choice</span></code></a>,
625 <a·class="reference·internal"·href="generated/numpy.random.Generator.permutation.html#numpy.random.Generator.permutation"·title="numpy.random.Generator.permutation"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">permutation</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle"·title="numpy.random.Generator.shuffle"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">shuffle</span></code></a>·that·controls·which625 <a·class="reference·internal"·href="generated/numpy.random.Generator.permutation.html#numpy.random.Generator.permutation"·title="numpy.random.Generator.permutation"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">permutation</span></code></a>·and·<a·class="reference·internal"·href="generated/numpy.random.Generator.shuffle.html#numpy.random.Generator.shuffle"·title="numpy.random.Generator.shuffle"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">shuffle</span></code></a>·that·controls·which
626 axis·an·operation·is·performed·over·for·multi-dimensional·arrays.</p></li>626 axis·an·operation·is·performed·over·for·multi-dimensional·arrays.</p></li>
627 </ul>627 </ul>
Offset 636, 17 lines modifiedOffset 636, 17 lines modified
636 <span·class="gh">Out[16]:·</span>636 <span·class="gh">Out[16]:·</span>
637 <span·class="go">array([[·0,··1,··2,··3],</span>637 <span·class="go">array([[·0,··1,··2,··3],</span>
638 <span·class="go">·······[·4,··5,··6,··7],</span>638 <span·class="go">·······[·4,··5,··6,··7],</span>
639 <span·class="go">·······[·8,··9,·10,·11]])</span>639 <span·class="go">·······[·8,··9,·10,·11]])</span>
  
640 <span·class="gp">In·[17]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">choice</span><span·class="p">(</span><span·class="n">a</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">size</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>640 <span·class="gp">In·[17]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">choice</span><span·class="p">(</span><span·class="n">a</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">size</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>
641 <span·class="gh">Out[17]:·</span>641 <span·class="gh">Out[17]:·</span>
642 <span·class="go">array([[·2,··0,··0,··3,··3],</span>642 <span·class="go">array([[·2,··3,··1,··1,··3],</span>
643 <span·class="go">·······[·6,··4,··4,··7,··7],</span>643 <span·class="go">·······[·6,··7,··5,··5,··7],</span>
644 <span·class="go">·······[10,··8,··8,·11,·11]])</span>644 <span·class="go">·······[10,·11,··9,··9,·11]])</span>
  
645 <span·class="gp">In·[18]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">shuffle</span><span·class="p">(</span><span·class="n">a</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="c1">#·Shuffle·in-place</span>645 <span·class="gp">In·[18]:·</span><span·class="n">rng</span><span·class="o">.</span><span·class="n">shuffle</span><span·class="p">(</span><span·class="n">a</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="c1">#·Shuffle·in-place</span>
  
646 <span·class="gp">In·[19]:·</span><span·class="n">a</span>646 <span·class="gp">In·[19]:·</span><span·class="n">a</span>
647 <span·class="gh">Out[19]:·</span>647 <span·class="gh">Out[19]:·</span>
648 <span·class="go">array([[·0,··3,··2,··1],</span>648 <span·class="go">array([[·0,··3,··2,··1],</span>
649 <span·class="go">·······[·4,··7,··6,··5],</span>649 <span·class="go">·······[·4,··7,··6,··5],</span>
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Offset 102, 26 lines modifiedOffset 102, 26 lines modified
102 In·[1]:·import·numpy.random102 In·[1]:·import·numpy.random
  
103 In·[2]:·rng·=·np.random.default_rng()103 In·[2]:·rng·=·np.random.default_rng()
  
104 In·[3]:·%timeit·-n·1·rng.standard_normal(100000)104 In·[3]:·%timeit·-n·1·rng.standard_normal(100000)
105 ···...:·%timeit·-n·1·numpy.random.standard_normal(100000)105 ···...:·%timeit·-n·1·numpy.random.standard_normal(100000)
106 ···...:106 ···...:
107 1.39·ms·+-·52.3·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)107 1.48·ms·+-·31.1·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
108 2.55·ms·+-·334·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)108 2.85·ms·+-·16.6·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
109 In·[4]:·%timeit·-n·1·rng.standard_exponential(100000)109 In·[4]:·%timeit·-n·1·rng.standard_exponential(100000)
110 ···...:·%timeit·-n·1·numpy.random.standard_exponential(100000)110 ···...:·%timeit·-n·1·numpy.random.standard_exponential(100000)
111 ···...:111 ···...:
112 651·us·+-·126·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)112 701·us·+-·19.7·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
113 1.44·ms·+-·108·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)113 2.04·ms·+-·27.8·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
114 In·[5]:·%timeit·-n·1·rng.standard_gamma(3.0,·100000)114 In·[5]:·%timeit·-n·1·rng.standard_gamma(3.0,·100000)
115 ···...:·%timeit·-n·1·numpy.random.standard_gamma(3.0,·100000)115 ···...:·%timeit·-n·1·numpy.random.standard_gamma(3.0,·100000)
116 ···...:116 ···...:
 117 2.85·ms·+-·53.4·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
117 3.15·ms·+-·175·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)118 6.54·ms·+-·975·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each)
118 4.58·ms·+-·277·us·per·loop·(mean·+-·std.·dev.·of·7·runs,·1·loop·each) 
119 ····*·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s·is·now·the·canonical·way·to·generate·integer·random·numbers·from119 ····*·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s·is·now·the·canonical·way·to·generate·integer·random·numbers·from
120 ······a·discrete·uniform·distribution.·This·replaces·both·_\x8r_\x8a_\x8n_\x8d_\x8i_\x8n_\x8t·and·the120 ······a·discrete·uniform·distribution.·This·replaces·both·_\x8r_\x8a_\x8n_\x8d_\x8i_\x8n_\x8t·and·the
121 ······deprecated·_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s.121 ······deprecated·_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s.
122 ····*·The·_\x8r_\x8a_\x8n_\x8d·and·_\x8r_\x8a_\x8n_\x8d_\x8n·methods·are·only·available·through·the·legacy122 ····*·The·_\x8r_\x8a_\x8n_\x8d·and·_\x8r_\x8a_\x8n_\x8d_\x8n·methods·are·only·available·through·the·legacy
123 ······_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e.123 ······_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e.
124 ····*·_\x8G_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8o_\x8r_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·is·now·the·canonical·way·to·generate·floating-point124 ····*·_\x8G_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8o_\x8r_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·is·now·the·canonical·way·to·generate·floating-point
125 ······random·numbers,·which·replaces·_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·_\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·and125 ······random·numbers,·which·replaces·_\x8R_\x8a_\x8n_\x8d_\x8o_\x8m_\x8S_\x8t_\x8a_\x8t_\x8e_\x8._\x8r_\x8a_\x8n_\x8d_\x8o_\x8m_\x8__\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·_\x8s_\x8a_\x8m_\x8p_\x8l_\x8e,·and
Offset 140, 38 lines modifiedOffset 140, 38 lines modified
140 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·and·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s)140 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m·and·_\x8i_\x8n_\x8t_\x8e_\x8g_\x8e_\x8r_\x8s)
141 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)141 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)
142 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)142 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)
143 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)143 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)
144 In·[6]:·rng·=·np.random.default_rng()144 In·[6]:·rng·=·np.random.default_rng()
  
145 In·[7]:·rng.random(3,·dtype=np.float64)145 In·[7]:·rng.random(3,·dtype=np.float64)
146 Out[7]:·array([0.70547514,·0.08925294,·0.40291075])146 Out[7]:·array([0.1171073·,·0.60991664,·0.51373836])
  
147 In·[8]:·rng.random(3,·dtype=np.float32)147 In·[8]:·rng.random(3,·dtype=np.float32)
148 Out[8]:·array([0.7055436·,·0.81983244,·0.7707724·],·dtype=float32)148 Out[8]:·array([0.14971465,·0.04142678,·0.91847485],·dtype=float32)
  
149 In·[9]:·rng.integers(0,·256,·size=3,·dtype=np.uint8)149 In·[9]:·rng.integers(0,·256,·size=3,·dtype=np.uint8)
150 Out[9]:·array([·48,··53,·194],·dtype=uint8)150 Out[9]:·array([198,·105,·169],·dtype=uint8)
151 ····*·Optional·out·argument·that·allows·existing·arrays·to·be·filled·for·select151 ····*·Optional·out·argument·that·allows·existing·arrays·to·be·filled·for·select
152 ······distributions152 ······distributions
153 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m)153 ··········o·Uniforms·(_\x8r_\x8a_\x8n_\x8d_\x8o_\x8m)
154 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)154 ··········o·Normals·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8n_\x8o_\x8r_\x8m_\x8a_\x8l)
155 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)155 ··········o·Standard·Gammas·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8g_\x8a_\x8m_\x8m_\x8a)
156 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)156 ··········o·Standard·Exponentials·(_\x8s_\x8t_\x8a_\x8n_\x8d_\x8a_\x8r_\x8d_\x8__\x8e_\x8x_\x8p_\x8o_\x8n_\x8e_\x8n_\x8t_\x8i_\x8a_\x8l)
157 ······This·allows·multithreading·to·fill·large·arrays·in·chunks·using·suitable157 ······This·allows·multithreading·to·fill·large·arrays·in·chunks·using·suitable
158 ······BitGenerators·in·parallel.158 ······BitGenerators·in·parallel.
159 In·[10]:·rng·=·np.random.default_rng()159 In·[10]:·rng·=·np.random.default_rng()
  
160 In·[11]:·existing·=·np.zeros(4)160 In·[11]:·existing·=·np.zeros(4)
  
161 In·[12]:·rng.random(out=existing[:2])161 In·[12]:·rng.random(out=existing[:2])
162 Out[12]:·array([0.83725004,·0.59525983])162 Out[12]:·array([0.46374678,·0.08005731])
  
163 In·[13]:·print(existing)163 In·[13]:·print(existing)
164 [0.83725004·0.59525983·0.·········0.········]164 [0.46374678·0.08005731·0.·········0.········]
165 ····*·Optional·axis·argument·for·methods·like·_\x8c_\x8h_\x8o_\x8i_\x8c_\x8e,·_\x8p_\x8e_\x8r_\x8m_\x8u_\x8t_\x8a_\x8t_\x8i_\x8o_\x8n·and·_\x8s_\x8h_\x8u_\x8f_\x8f_\x8l_\x8e165 ····*·Optional·axis·argument·for·methods·like·_\x8c_\x8h_\x8o_\x8i_\x8c_\x8e,·_\x8p_\x8e_\x8r_\x8m_\x8u_\x8t_\x8a_\x8t_\x8i_\x8o_\x8n·and·_\x8s_\x8h_\x8u_\x8f_\x8f_\x8l_\x8e
166 ······that·controls·which·axis·an·operation·is·performed·over·for·multi-166 ······that·controls·which·axis·an·operation·is·performed·over·for·multi-
167 ······dimensional·arrays.167 ······dimensional·arrays.
168 In·[14]:·rng·=·np.random.default_rng()168 In·[14]:·rng·=·np.random.default_rng()
  
169 In·[15]:·a·=·np.arange(12).reshape((3,·4))169 In·[15]:·a·=·np.arange(12).reshape((3,·4))
  
Offset 179, 17 lines modifiedOffset 179, 17 lines modified
179 Out[16]:179 Out[16]:
180 array([[·0,··1,··2,··3],180 array([[·0,··1,··2,··3],
181 ·······[·4,··5,··6,··7],181 ·······[·4,··5,··6,··7],
182 ·······[·8,··9,·10,·11]])182 ·······[·8,··9,·10,·11]])
  
183 In·[17]:·rng.choice(a,·axis=1,·size=5)183 In·[17]:·rng.choice(a,·axis=1,·size=5)
184 Out[17]:184 Out[17]:
185 array([[·2,··0,··0,··3,··3],185 array([[·2,··3,··1,··1,··3],
186 ·······[·6,··4,··4,··7,··7],186 ·······[·6,··7,··5,··5,··7],
187 ·······[10,··8,··8,·11,·11]])187 ·······[10,·11,··9,··9,·11]])
  
188 In·[18]:·rng.shuffle(a,·axis=1)········#·Shuffle·in-place188 In·[18]:·rng.shuffle(a,·axis=1)········#·Shuffle·in-place
  
189 In·[19]:·a189 In·[19]:·a
190 Out[19]:190 Out[19]:
191 array([[·0,··3,··2,··1],191 array([[·0,··3,··2,··1],
192 ·······[·4,··7,··6,··5],192 ·······[·4,··7,··6,··5],
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./usr/share/doc/python-numpy/html/reference/routines.polynomials.html
    
Offset 609, 31 lines modifiedOffset 609, 31 lines modified
  
609 <span·class="gp">In·[3]:·</span><span·class="n">y</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">arange</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>·<span·class="o">+</span>·<span·class="n">rng</span><span·class="o">.</span><span·class="n">standard_normal</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>609 <span·class="gp">In·[3]:·</span><span·class="n">y</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">arange</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>·<span·class="o">+</span>·<span·class="n">rng</span><span·class="o">.</span><span·class="n">standard_normal</span><span·class="p">(</span><span·class="mi">10</span><span·class="p">)</span>
610 </pre></div>610 </pre></div>
611 </div>611 </div>
612 <p>With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)612 <p>With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)
613 could·be·applied·to·these·data·with·<a·class="reference·internal"·href="generated/numpy.polyfit.html#numpy.polyfit"·title="numpy.polyfit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polyfit</span></code></a>:</p>613 could·be·applied·to·these·data·with·<a·class="reference·internal"·href="generated/numpy.polyfit.html#numpy.polyfit"·title="numpy.polyfit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polyfit</span></code></a>:</p>
614 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="n">np</span><span·class="o">.</span><span·class="n">polyfit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>614 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[4]:·</span><span·class="n">np</span><span·class="o">.</span><span·class="n">polyfit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>
615 <span·class="gh">Out[4]:·</span><span·class="go">array([·1.11425062,·-0.49272213])</span>615 <span·class="gh">Out[4]:·</span><span·class="go">array([0.95430353,·0.03065741])</span>
616 </pre></div>616 </pre></div>
617 </div>617 </div>
618 <p>With·the·new·polynomial·API,·the·<a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomial.fit"·title="numpy.polynomial.polynomial.Polynomial.fit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">fit</span></code></a>618 <p>With·the·new·polynomial·API,·the·<a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.fit.html#numpy.polynomial.polynomial.Polynomial.fit"·title="numpy.polynomial.polynomial.Polynomial.fit"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">fit</span></code></a>
619 class·method·is·preferred:</p>619 class·method·is·preferred:</p>
620 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="n">p_fitted</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">polynomial</span><span·class="o">.</span><span·class="n">Polynomial</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>620 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[5]:·</span><span·class="n">p_fitted</span>·<span·class="o">=</span>·<span·class="n">np</span><span·class="o">.</span><span·class="n">polynomial</span><span·class="o">.</span><span·class="n">Polynomial</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">y</span><span·class="p">,</span>·<span·class="n">deg</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">)</span>
  
621 <span·class="gp">In·[6]:·</span><span·class="n">p_fitted</span>621 <span·class="gp">In·[6]:·</span><span·class="n">p_fitted</span>
622 <span·class="gh">Out[6]:·</span><span·class="go">Polynomial([4.52140567,·5.0141278·],·domain=[0.,·9.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>622 <span·class="gh">Out[6]:·</span><span·class="go">Polynomial([4.32502331,·4.2943659·],·domain=[0.,·9.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>
623 </pre></div>623 </pre></div>
624 </div>624 </div>
625 <p>Note·that·the·coefficients·are·given·<em>in·the·scaled·domain</em>·defined·by·the625 <p>Note·that·the·coefficients·are·given·<em>in·the·scaled·domain</em>·defined·by·the
626 linear·mapping·between·the·<code·class="docutils·literal·notranslate"><span·class="pre">window</span></code>·and·<code·class="docutils·literal·notranslate"><span·class="pre">domain</span></code>.626 linear·mapping·between·the·<code·class="docutils·literal·notranslate"><span·class="pre">window</span></code>·and·<code·class="docutils·literal·notranslate"><span·class="pre">domain</span></code>.
627 <a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert"·title="numpy.polynomial.polynomial.Polynomial.convert"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">convert</span></code></a>·can·be·used·to·get·the627 <a·class="reference·internal"·href="generated/numpy.polynomial.polynomial.Polynomial.convert.html#numpy.polynomial.polynomial.Polynomial.convert"·title="numpy.polynomial.polynomial.Polynomial.convert"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">convert</span></code></a>·can·be·used·to·get·the
628 coefficients·in·the·unscaled·data·domain.</p>628 coefficients·in·the·unscaled·data·domain.</p>
629 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[7]:·</span><span·class="n">p_fitted</span><span·class="o">.</span><span·class="n">convert</span><span·class="p">()</span>629 <div·class="highlight-ipython·notranslate"><div·class="highlight"><pre><span></span><span·class="gp">In·[7]:·</span><span·class="n">p_fitted</span><span·class="o">.</span><span·class="n">convert</span><span·class="p">()</span>
630 <span·class="gh">Out[7]:·</span><span·class="go">Polynomial([-0.49272213,··1.11425062],·domain=[-1.,··1.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>630 <span·class="gh">Out[7]:·</span><span·class="go">Polynomial([0.03065741,·0.95430353],·domain=[-1.,··1.],·window=[-1.,··1.],·symbol=&#39;x&#39;)</span>
631 </pre></div>631 </pre></div>
632 </div>632 </div>
633 </section>633 </section>
634 </section>634 </section>
635 <section·id="documentation-for-the-polynomial-package">635 <section·id="documentation-for-the-polynomial-package">
636 <h2>Documentation·for·the·<a·class="reference·internal"·href="routines.polynomials-package.html#module-numpy.polynomial"·title="numpy.polynomial"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polynomial</span></code></a>·package<a·class="headerlink"·href="#documentation-for-the-polynomial-package"·title="Link·to·this·heading">#</a></h2>636 <h2>Documentation·for·the·<a·class="reference·internal"·href="routines.polynomials-package.html#module-numpy.polynomial"·title="numpy.polynomial"><code·class="xref·py·py-obj·docutils·literal·notranslate"><span·class="pre">polynomial</span></code></a>·package<a·class="headerlink"·href="#documentation-for-the-polynomial-package"·title="Link·to·this·heading">#</a></h2>
637 <p>In·addition·to·standard·power·series·polynomials,·the·polynomial·package637 <p>In·addition·to·standard·power·series·polynomials,·the·polynomial·package
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Offset 150, 26 lines modifiedOffset 150, 26 lines modified
  
150 In·[2]:·x·=·np.arange(10)150 In·[2]:·x·=·np.arange(10)
  
151 In·[3]:·y·=·np.arange(10)·+·rng.standard_normal(10)151 In·[3]:·y·=·np.arange(10)·+·rng.standard_normal(10)
152 With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)152 With·the·legacy·polynomial·module,·a·linear·fit·(i.e.·polynomial·of·degree·1)
153 could·be·applied·to·these·data·with·_\x8p_\x8o_\x8l_\x8y_\x8f_\x8i_\x8t:153 could·be·applied·to·these·data·with·_\x8p_\x8o_\x8l_\x8y_\x8f_\x8i_\x8t:
154 In·[4]:·np.polyfit(x,·y,·deg=1)154 In·[4]:·np.polyfit(x,·y,·deg=1)
155 Out[4]:·array([·1.11425062,·-0.49272213])155 Out[4]:·array([0.95430353,·0.03065741])
156 With·the·new·polynomial·API,·the·_\x8f_\x8i_\x8t·class·method·is·preferred:156 With·the·new·polynomial·API,·the·_\x8f_\x8i_\x8t·class·method·is·preferred:
157 In·[5]:·p_fitted·=·np.polynomial.Polynomial.fit(x,·y,·deg=1)157 In·[5]:·p_fitted·=·np.polynomial.Polynomial.fit(x,·y,·deg=1)
  
158 In·[6]:·p_fitted158 In·[6]:·p_fitted
159 Out[6]:·Polynomial([4.52140567,·5.0141278·],·domain=[0.,·9.],·window=[-1.,159 Out[6]:·Polynomial([4.32502331,·4.2943659·],·domain=[0.,·9.],·window=[-1.,
160 1.],·symbol='x')160 1.],·symbol='x')
161 Note·that·the·coefficients·are·given·i\x8in\x8n·t\x8th\x8he\x8e·s\x8sc\x8ca\x8al\x8le\x8ed\x8d·d\x8do\x8om\x8ma\x8ai\x8in\x8n·defined·by·the·linear161 Note·that·the·coefficients·are·given·i\x8in\x8n·t\x8th\x8he\x8e·s\x8sc\x8ca\x8al\x8le\x8ed\x8d·d\x8do\x8om\x8ma\x8ai\x8in\x8n·defined·by·the·linear
162 mapping·between·the·window·and·domain.·_\x8c_\x8o_\x8n_\x8v_\x8e_\x8r_\x8t·can·be·used·to·get·the162 mapping·between·the·window·and·domain.·_\x8c_\x8o_\x8n_\x8v_\x8e_\x8r_\x8t·can·be·used·to·get·the
163 coefficients·in·the·unscaled·data·domain.163 coefficients·in·the·unscaled·data·domain.
164 In·[7]:·p_fitted.convert()164 In·[7]:·p_fitted.convert()
165 Out[7]:·Polynomial([-0.49272213,··1.11425062],·domain=[-1.,··1.],·window=[-1.,165 Out[7]:·Polynomial([0.03065741,·0.95430353],·domain=[-1.,··1.],·window=[-1.,
166 1.],·symbol='x')166 1.],·symbol='x')
167 *\x8**\x8**\x8**\x8**\x8*·D\x8Do\x8oc\x8cu\x8um\x8me\x8en\x8nt\x8ta\x8at\x8ti\x8io\x8on\x8n·f\x8fo\x8or\x8r·t\x8th\x8he\x8e·_\x8p\x8p_\x8o\x8o_\x8l\x8l_\x8y\x8y_\x8n\x8n_\x8o\x8o_\x8m\x8m_\x8i\x8i_\x8a\x8a_\x8l\x8l·p\x8pa\x8ac\x8ck\x8ka\x8ag\x8ge\x8e_\x8#\x8#·*\x8**\x8**\x8**\x8**\x8*167 *\x8**\x8**\x8**\x8**\x8*·D\x8Do\x8oc\x8cu\x8um\x8me\x8en\x8nt\x8ta\x8at\x8ti\x8io\x8on\x8n·f\x8fo\x8or\x8r·t\x8th\x8he\x8e·_\x8p\x8p_\x8o\x8o_\x8l\x8l_\x8y\x8y_\x8n\x8n_\x8o\x8o_\x8m\x8m_\x8i\x8i_\x8a\x8a_\x8l\x8l·p\x8pa\x8ac\x8ck\x8ka\x8ag\x8ge\x8e_\x8#\x8#·*\x8**\x8**\x8**\x8**\x8*
168 In·addition·to·standard·power·series·polynomials,·the·polynomial·package168 In·addition·to·standard·power·series·polynomials,·the·polynomial·package
169 provides·several·additional·kinds·of·polynomials·including·Chebyshev,·Hermite169 provides·several·additional·kinds·of·polynomials·including·Chebyshev,·Hermite
170 (two·subtypes),·Laguerre,·and·Legendre·polynomials.·Each·of·these·has·an170 (two·subtypes),·Laguerre,·and·Legendre·polynomials.·Each·of·these·has·an
171 associated·c\x8co\x8on\x8nv\x8ve\x8en\x8ni\x8ie\x8en\x8nc\x8ce\x8e·c\x8cl\x8la\x8as\x8ss\x8s·available·from·the·_\x8n_\x8u_\x8m_\x8p_\x8y_\x8._\x8p_\x8o_\x8l_\x8y_\x8n_\x8o_\x8m_\x8i_\x8a_\x8l·namespace·that171 associated·c\x8co\x8on\x8nv\x8ve\x8en\x8ni\x8ie\x8en\x8nc\x8ce\x8e·c\x8cl\x8la\x8as\x8ss\x8s·available·from·the·_\x8n_\x8u_\x8m_\x8p_\x8y_\x8._\x8p_\x8o_\x8l_\x8y_\x8n_\x8o_\x8m_\x8i_\x8a_\x8l·namespace·that
172 provides·a·consistent·interface·for·working·with·polynomials·regardless·of172 provides·a·consistent·interface·for·working·with·polynomials·regardless·of
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32346 ········"0100":·1519,32346 ········"0100":·1519,
32347 ········"01041667":·1585,32347 ········"01041667":·1585,
32348 ········"011":·[1602,·1659,·1716,·1773,·1830,·1886],32348 ········"011":·[1602,·1659,·1716,·1773,·1830,·1886],
32349 ········"012":·[1602,·1659,·1716,·1773,·1830,·1886],32349 ········"012":·[1602,·1659,·1716,·1773,·1830,·1886],
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32351 ········"01280782":·[2335,·2378,·2425],32351 ········"01280782":·[2335,·2378,·2425],
32352 ········"0141278":·2488, 
32353 ········"016":·[648,·653],32352 ········"016":·[648,·653],
32354 ········"01652764":·2635,32353 ········"01652764":·2635,
32355 ········"01666667":·1544,32354 ········"01666667":·1544,
32356 ········"016j":·2105,32355 ········"016j":·2105,
32357 ········"01831564":·1660,32356 ········"01831564":·1660,
32358 ········"018318":·[2353,·2400,·2450],32357 ········"018318":·[2353,·2400,·2450],
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32370 ········"02654825":·1891,32369 ········"02654825":·1891,
32371 ········"02658058e":·2666,32370 ········"02658058e":·2666,
32372 ········"02755911":·2666,32371 ········"02755911":·2666,
32373 ········"027559113243068367":·2666,32372 ········"027559113243068367":·2666,
32374 ········"02785049":·1867,32373 ········"02785049":·1867,
32375 ········"02i":·[513,·2644],32374 ········"02i":·[513,·2644],
32376 ········"03":·[55,·67,·163,·566,·669,·1335,·1586,·1816,·2658],32375 ········"03":·[55,·67,·163,·566,·669,·1335,·1586,·1816,·2658],
 32376 ········"03065741":·2488,
32377 ········"03125":·[1585,·2491],32377 ········"03125":·[1585,·2491],
32378 ········"0326911":·[2335,·2378,·2425],32378 ········"0326911":·[2335,·2378,·2425],
32379 ········"0361":·2607,32379 ········"0361":·2607,
32380 ········"03703704":·1809,32380 ········"03703704":·1809,
32381 ········"03943254e":·2104,32381 ········"03943254e":·2104,
32382 ········"03968254":·[1113,·1543],32382 ········"03968254":·[1113,·1543],
32383 ········"0396842":·680,32383 ········"0396842":·680,
32384 ········"03t13":·55,32384 ········"03t13":·55,
32385 ········"04":·[54,·55,·164,·410,·547,·1586,·2463,·2594,·2659],32385 ········"04":·[54,·55,·164,·410,·547,·1586,·2461,·2463,·2594,·2659],
32386 ········"0400":·360,32386 ········"0400":·360,
32387 ········"04097352":·2635,32387 ········"04097352":·2635,
 32388 ········"04142678":·2461,
32388 ········"04166667":·[1544,·1585],32389 ········"04166667":·[1544,·1585],
32389 ········"04211c6":·2521,32390 ········"04211c6":·2521,
32390 ········"04551152e":·2104,32391 ········"04551152e":·2104,
32391 ········"04719755":·1911,32392 ········"04719755":·1911,
32392 ········"05":·[55,·91,·163,·410,·548,·669,·896,·1095,·1871,·2083,·2173,·2252,·2353,·2400,·2450,·2648],32393 ········"05":·[55,·91,·163,·410,·548,·669,·896,·1095,·1871,·2083,·2173,·2252,·2353,·2400,·2450,·2648],
32393 ········"0500":·360,32394 ········"0500":·360,
32394 ········"05093587":·2635,32395 ········"05093587":·2635,
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32408 ········"07106781e":·514,32409 ········"07106781e":·514,
32409 ········"07407407":·1809,32410 ········"07407407":·1809,
32410 ········"07779185":·2458,32411 ········"07779185":·2458,
32411 ········"07937323":·524,32412 ········"07937323":·524,
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32414 ········"0800":·2525,32415 ········"0800":·2525,
 32416 ········"08005731":·2461,
32415 ········"08187135":·54,32417 ········"08187135":·54,
32416 ········"08333333":·[1645,·1871],32418 ········"08333333":·[1645,·1871],
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32418 ········"0855":·2642,32420 ········"0855":·2642,
32419 ········"08553692":·38,32421 ········"08553692":·38,
32420 ········"085537":·2642,32422 ········"085537":·2642,
32421 ········"0856306":·1154,32423 ········"0856306":·1154,
32422 ········"08618131":·1526,32424 ········"08618131":·1526,
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32425 ········"08925294":·2461, 
32426 ········"09":·[55,·2171,·2323,·2367,·2414],32427 ········"09":·[55,·2171,·2323,·2367,·2414],
32427 ········"090097550553843":·2642,32428 ········"090097550553843":·2642,
32428 ········"09417735":·[349,·2457,·2639],32429 ········"09417735":·[349,·2457,·2639],
32429 ········"0943951":·1911,32430 ········"0943951":·1911,
32430 ········"09640474436813":·675,32431 ········"09640474436813":·675,
32431 ········"09861229":·[657,·2655],32432 ········"09861229":·[657,·2655],
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32527 ········"10424":·2536,32528 ········"10424":·2536,
32528 ········"10425":·2536,32529 ········"10425":·2536,
32529 ········"10431":·2536,32530 ········"10431":·2536,
32530 ········"10435":·2536,32531 ········"10435":·2536,
32531 ········"1049":·2098,32532 ········"1049":·2098,
32532 ········"105":·2463,32533 ········"105":·[2461,·2463],
32533 ········"10534":·2536,32534 ········"10534":·2536,
32534 ········"10536":·2536,32535 ········"10536":·2536,
32535 ········"10537":·2536,32536 ········"10537":·2536,
32536 ········"10539":·2536,32537 ········"10539":·2536,
32537 ········"10540":·2536,32538 ········"10540":·2536,
32538 ········"10541":·2536,32539 ········"10541":·2536,
32539 ········"10542":·2536,32540 ········"10542":·2536,
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32564 ········"1071":·2463,32565 ········"1071":·2463,
32565 ········"10725":·2537,32566 ········"10725":·2537,
32566 ········"10726":·2537,32567 ········"10726":·2537,
32567 ········"10727":·2537,32568 ········"10727":·2537,
32568 ········"10729":·2537,32569 ········"10729":·2537,
32569 ········"1073741821":·[420,·421,·947,·948,·1923],32570 ········"1073741821":·[420,·421,·947,·948,·1923],
32570 ········"1078":·2622,32571 ········"1078":·2622,
32571 ········"108":·[524,·2461,·2463],32572 ········"108":·[524,·2463],
32572 ········"10862":·2538,32573 ········"10862":·2538,
32573 ········"10868":·2538,32574 ········"10868":·2538,
32574 ········"1088311":·2343,32575 ········"1088311":·2343,
32575 ········"10898":·2542,32576 ········"10898":·2542,
32576 ········"109":·[136,·523,·2463],32577 ········"109":·[136,·523,·2463],
32577 ········"10905":·2538,32578 ········"10905":·2538,
32578 ········"10941":·2328,32579 ········"10941":·2328,
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32620 ········"11294":·2540,32621 ········"11294":·2540,
32621 ········"113":·[674,·2463,·2666],32622 ········"113":·[674,·2463,·2666],
32622 ········"11308":·2542,32623 ········"11308":·2542,
32623 ········"1138":·2612,32624 ········"1138":·2612,
32624 ········"114":·2463,32625 ········"114":·2463,
32625 ········"11407192":·1822,32626 ········"11407192":·1822,
32626 ········"1142":·[2353,·2400,·2450],32627 ········"1142":·[2353,·2400,·2450],
32627 ········"11425062":·2488, 
32628 ········"1149":·2612,32628 ········"1149":·2612,
32629 ········"115":·[1654,·2463],32629 ········"115":·[1654,·2463],
32630 ········"1151":·657,32630 ········"1151":·657,
32631 ········"11525":·2547,32631 ········"11525":·2547,
32632 ········"116":·2463,32632 ········"116":·2463,
32633 ········"11625":·[2543,·2544,·2545,·2546],32633 ········"11625":·[2543,·2544,·2545,·2546],
32634 ········"11647":·2543,32634 ········"11647":·2543,
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32637 ········"11659149":·[2345,·2391,·2439],32637 ········"11659149":·[2345,·2391,·2439],
32638 ········"11661":·2543,32638 ········"11661":·2543,
32639 ········"11665":·2543,32639 ········"11665":·2543,
32640 ········"11675684e":·1586,32640 ········"11675684e":·1586,
32641 ········"11682":·2543,32641 ········"11682":·2543,
32642 ········"11698":·2543,32642 ········"11698":·2543,
32643 ········"11700":·2543,32643 ········"11700":·2543,
 32644 ········"1171073":·2461,
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