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  <section id="array-equal">
<h1>array_equal<a class="headerlink" href="#array-equal" title="Permalink to this headline">¶</a></h1>
<section id="documentation">
<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h2>
<dl class="py function">
<dt id="treetensor.numpy.array_equal">
<code class="sig-prename descclassname">treetensor.numpy.</code><code class="sig-name descname">array_equal</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">a1</span></em>, <em class="sig-param"><span class="n">a2</span></em>, <em class="sig-param"><span class="o">*</span><span class="n">args</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">kwargs</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/treetensor/numpy/funcs.html#array_equal"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#treetensor.numpy.array_equal" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>

<div class="tip admonition">
<p class="admonition-title">Numpy Version Related</p>
<p>This documentation is based on
<a class="reference external" href="https://numpy.org/doc/1.21/reference/generated/numpy.array_equal.html">numpy.array_equal</a>
in <a class="reference external" href="https://numpy.org/doc/1.21/">numpy v1.21.6</a>.
<strong>Its arguments’ arrangements depend on the version of numpy you installed</strong>.</p>
<p>If some arguments listed here are not working properly, please check your numpy’s version
with the following command and find its documentation.</p>
<div class="highlight-shell notranslate"><div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span>python -c <span class="s1">&#39;import numpy as np;print(np.__version__)&#39;</span>
</pre></div></td></tr></table></div>
</div>
<p>The arguments and keyword arguments supported in numpy v1.21.6 is listed below.</p>
</div>
</section>
<section id="description-from-numpy-v1-21">
<h2>Description From Numpy v1.21<a class="headerlink" href="#description-from-numpy-v1-21" title="Permalink to this headline">¶</a></h2>
<dl class="py function">
<dt>
<code class="sig-name descname">True if two arrays have the same shape and elements, False otherwise.</code></dt>
<dd></dd></dl>

<section id="parameters">
<h3>Parameters<a class="headerlink" href="#parameters" title="Permalink to this headline">¶</a></h3>
<blockquote>
<div><dl>
<dt>a1, a2 : array_like</dt><dd><p>Input arrays.</p>
</dd>
<dt>equal_nan : bool</dt><dd><p>Whether to compare NaN’s as equal. If the dtype of a1 and a2 is
complex, values will be considered equal if either the real or the
imaginary component of a given value is <code class="docutils literal notranslate"><span class="pre">nan</span></code>.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 1.19.0.</span></p>
</div>
</dd>
</dl>
</div></blockquote>
</section>
<section id="returns">
<h3>Returns<a class="headerlink" href="#returns" title="Permalink to this headline">¶</a></h3>
<blockquote>
<div><dl class="simple">
<dt>b : bool</dt><dd><p>Returns True if the arrays are equal.</p>
</dd>
</dl>
</div></blockquote>
</section>
<section id="see-also">
<h3>See Also<a class="headerlink" href="#see-also" title="Permalink to this headline">¶</a></h3>
<blockquote>
<div><dl class="simple">
<dt>allclose: Returns True if two arrays are element-wise equal within a</dt><dd><p>tolerance.</p>
</dd>
<dt>array_equiv: Returns True if input arrays are shape consistent and all</dt><dd><p>elements equal.</p>
</dd>
</dl>
</div></blockquote>
</section>
<section id="examples">
<h3>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h3>
<blockquote>
<div><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
<span class="go">True</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
<span class="go">True</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
<span class="go">False</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>
<span class="go">False</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</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="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">a</span><span class="p">)</span>
<span class="go">False</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">equal_nan</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="go">True</span>
</pre></div>
</div>
<p>When <code class="docutils literal notranslate"><span class="pre">equal_nan</span></code> is True, complex values with nan components are
considered equal if either the real <em>or</em> the imaginary components are nan.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span> <span class="o">+</span> <span class="mi">1</span><span class="n">j</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">a</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">real</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span><span class="o">.</span><span class="n">imag</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">equal_nan</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="go">True</span>
</pre></div>
</div>
</div></blockquote>
</section>
</section>
</section>


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