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  <section id="ones">
<h1>ones<a class="headerlink" href="#ones" 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.ones">
<code class="sig-prename descclassname">treetensor.numpy.</code><code class="sig-name descname">ones</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">shape</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#ones"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#treetensor.numpy.ones" 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.ones.html">numpy.ones</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">Return a new array of given shape and type, filled with ones.</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>shape : int or sequence of ints</dt><dd><p>Shape of the new array, e.g., <code class="docutils literal notranslate"><span class="pre">(2,</span> <span class="pre">3)</span></code> or <code class="docutils literal notranslate"><span class="pre">2</span></code>.</p>
</dd>
<dt>dtype : data-type, optional</dt><dd><p>The desired data-type for the array, e.g., <cite>numpy.int8</cite>.  Default is
<cite>numpy.float64</cite>.</p>
</dd>
<dt>order : {‘C’, ‘F’}, optional, default: C</dt><dd><p>Whether to store multi-dimensional data in row-major
(C-style) or column-major (Fortran-style) order in
memory.</p>
</dd>
<dt>like : array_like</dt><dd><p>Reference object to allow the creation of arrays which are not
NumPy arrays. If an array-like passed in as <code class="docutils literal notranslate"><span class="pre">like</span></code> supports
the <code class="docutils literal notranslate"><span class="pre">__array_function__</span></code> protocol, the result will be defined
by it. In this case, it ensures the creation of an array object
compatible with that passed in via this argument.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 1.20.0.</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>out : ndarray</dt><dd><p>Array of ones with the given shape, dtype, and order.</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><p>ones_like : Return an array of ones with shape and type of input.
empty : Return a new uninitialized array.
zeros : Return a new array setting values to zero.
full : Return a new array of given shape filled with value.</p>
</div></blockquote>
</section>
<section id="examples">
<h3>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h3>
<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">ones</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="go">array([1., 1., 1., 1., 1.])</span>
</pre></div>
</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">ones</span><span class="p">((</span><span class="mi">5</span><span class="p">,),</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)</span>
<span class="go">array([1, 1, 1, 1, 1])</span>
</pre></div>
</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">ones</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="go">array([[1.],</span>
<span class="go">       [1.]])</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="go">array([[1.,  1.],</span>
<span class="go">       [1.,  1.]])</span>
</pre></div>
</div>
</section>
</section>
</section>


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