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tomwhite committed Oct 4, 2024
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const DOCUMENTATION_OPTIONS = {
VERSION: '2065794',
VERSION: '7ca5ae9',
LANGUAGE: 'en',
COLLAPSE_INDEX: false,
BUILDER: 'html',
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<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<script src="_static/sphinx_highlight.js?v=dc90522c"></script>
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<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<script src="../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

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<script src="../_static/documentation_options.js?v=65c7ec97"></script>
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<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
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<script src="../_static/doctools.js?v=9a2dae69"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
<script src="../_static/documentation_options.js?v=65c7ec97"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
<script src="../_static/documentation_options.js?v=65c7ec97"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
<script src="../_static/documentation_options.js?v=65c7ec97"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
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<h1>cubed.nanmean<a class="headerlink" href="#cubed-nanmean" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="cubed.nanmean">
<span class="sig-prename descclassname"><span class="pre">cubed.</span></span><span class="sig-name descname"><span class="pre">nanmean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keepdims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_new_impl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_every</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cubed.nanmean" title="Link to this definition">#</a></dt>
<span class="sig-prename descclassname"><span class="pre">cubed.</span></span><span class="sig-name descname"><span class="pre">nanmean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keepdims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_every</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cubed.nanmean" title="Link to this definition">#</a></dt>
<dd><p>Compute the arithmetic mean along the specified axis, ignoring NaNs.</p>
</dd></dl>

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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
<script src="../_static/documentation_options.js?v=65c7ec97"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
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<script src="../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
Expand Down Expand Up @@ -366,7 +366,7 @@ <h2> Contents </h2>
<h1>cubed.nansum<a class="headerlink" href="#cubed-nansum" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="cubed.nansum">
<span class="sig-prename descclassname"><span class="pre">cubed.</span></span><span class="sig-name descname"><span class="pre">nansum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keepdims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_new_impl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_every</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cubed.nansum" title="Link to this definition">#</a></dt>
<span class="sig-prename descclassname"><span class="pre">cubed.</span></span><span class="sig-name descname"><span class="pre">nansum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keepdims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_every</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#cubed.nansum" title="Link to this definition">#</a></dt>
<dd><p>Return the sum of array elements over a given axis treating NaNs as zero.</p>
</dd></dl>

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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
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<script src="../_static/doctools.js?v=9a2dae69"></script>
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2 changes: 1 addition & 1 deletion generated/cubed.random.random.html
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<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>

<script src="../_static/documentation_options.js?v=afdda1ca"></script>
<script src="../_static/documentation_options.js?v=65c7ec97"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
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