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<div class="section" id="ndarray">
<h1><a class="toc-backref" href="#id2">ndarray</a></h1>
<div class="contents topic" id="table-of-contents">
<p class="topic-title">Table of Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#ndarray" id="id2">ndarray</a><ul>
<li><a class="reference internal" href="#synopsis" id="id3">synopsis</a></li>
<li><a class="reference internal" href="#constructors" id="id4">constructors</a></li>
<li><a class="reference internal" href="#accessors" id="id5">accessors</a></li>
<li><a class="reference internal" href="#example-s" id="id6">Example(s)</a></li>
</ul>
</li>
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</div>
<p>A <a class="reference external" href="http://docs.scipy.org/doc/numpy/reference/arrays.ndarray.html">ndarray</a> is an N-dimensional array which contains items of the same type and size, where N is the number of dimensions and is specified in the form of a <code class="docutils literal notranslate"><span class="pre">shape</span></code> tuple. Optionally, the numpy <code class="docutils literal notranslate"><span class="pre">dtype</span></code> for the objects contained may also be specified.</p>
<blockquote>
<div><code class="docutils literal notranslate"><span class="pre">&lt;boost/python/numpy/ndarray.hpp&gt;</span></code> contains the structures and methods necessary to move raw data between C++ and Python and create ndarrays from the data</div></blockquote>
<div class="section" id="synopsis">
<h2><a class="toc-backref" href="#id3">synopsis</a></h2>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="k">namespace</span> <span class="n">boost</span>
<span class="p">{</span>
<span class="k">namespace</span> <span class="n">python</span>
<span class="p">{</span>
<span class="k">namespace</span> <span class="n">numpy</span>
<span class="p">{</span>
<span class="k">class</span> <span class="nc">ndarray</span> <span class="o">:</span> <span class="k">public</span> <span class="n">object</span>
<span class="p">{</span>
<span class="k">public</span><span class="o">:</span>
<span class="k">enum</span> <span class="n">bitflag</span>
<span class="p">{</span>
<span class="n">NONE</span><span class="o">=</span><span class="mh">0x0</span><span class="p">,</span> <span class="n">C_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x1</span><span class="p">,</span> <span class="n">F_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x2</span><span class="p">,</span> <span class="n">V_CONTIGUOUS</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="p">,</span>
<span class="n">ALIGNED</span><span class="o">=</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">WRITEABLE</span><span class="o">=</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">BEHAVED</span><span class="o">=</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
<span class="n">CARRAY_RO</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">CARRAY</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">CARRAY_MIS</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
<span class="n">FARRAY_RO</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">FARRAY</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">FARRAY_MIS</span><span class="o">=</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span>
<span class="n">UPDATE_ALL</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="p">,</span> <span class="n">VARRAY</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x8</span><span class="p">,</span> <span class="n">ALL</span><span class="o">=</span><span class="mh">0x1</span><span class="o">|</span><span class="mh">0x2</span><span class="o">|</span><span class="mh">0x4</span><span class="o">|</span><span class="mh">0x8</span>
<span class="p">};</span>
<span class="n">ndarray</span> <span class="nf">view</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
<span class="n">ndarray</span> <span class="nf">astype</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
<span class="n">ndarray</span> <span class="nf">copy</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="kt">int</span> <span class="k">const</span> <span class="nf">shape</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
<span class="kt">int</span> <span class="k">const</span> <span class="nf">strides</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
<span class="kt">char</span> <span class="o">*</span> <span class="nf">get_data</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">dtype</span> <span class="nf">get_dtype</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="n">get_base</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="kt">void</span> <span class="nf">set_base</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">base</span><span class="p">);</span>
<span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_shape</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_strides</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="kt">int</span> <span class="k">const</span> <span class="nf">get_nd</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">bitflag</span> <span class="k">const</span> <span class="nf">get_flags</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">ndarray</span> <span class="nf">transpose</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">ndarray</span> <span class="nf">squeeze</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="n">ndarray</span> <span class="nf">reshape</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
<span class="n">object</span> <span class="nf">scalarize</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
<span class="p">};</span>
<span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="k">template</span> <span class="o">&lt;</span><span class="k">typename</span> <span class="n">Container</span><span class="o">&gt;</span>
<span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span><span class="n">Container</span> <span class="n">shape</span><span class="p">,</span><span class="n">Container</span> <span class="n">strides</span><span class="p">,</span><span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">owner</span><span class="p">);</span>
<span class="k">template</span> <span class="o">&lt;</span><span class="k">typename</span> <span class="n">Container</span><span class="o">&gt;</span>
<span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="k">const</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span> <span class="n">Container</span> <span class="n">shape</span><span class="p">,</span> <span class="n">Container</span> <span class="n">strides</span><span class="p">,</span> <span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">owner</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</span>
<span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">|</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</span> <span class="p">;</span>
<span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">&amp;</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</div>
<div class="section" id="constructors">
<h2><a class="toc-backref" href="#id4">constructors</a></h2>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">view</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">new ndarray with old ndarray data cast as supplied dtype</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">astype</span><span class="p">(</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">new ndarray with old ndarray data converted to supplied dtype</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">copy</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Copy of calling ndarray object</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">transpose</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">An ndarray with the rows and columns interchanged</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">squeeze</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">An ndarray with all unit-shaped dimensions removed</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">reshape</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
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<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body">The new <code class="docutils literal notranslate"><span class="pre">shape</span></code> of the ndarray must be supplied as a tuple</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An ndarray with the same data but reshaped to the <code class="docutils literal notranslate"><span class="pre">shape</span></code> supplied</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">object</span> <span class="nf">scalarize</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">A scalar if the ndarray has only one element, otherwise it returns the entire array</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">zeros</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied as required :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">shape</span></code> or the size of all dimensions, as a tuple</li>
<li>the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> of the data</li>
<li>the <code class="docutils literal notranslate"><span class="pre">nd</span></code> size for a square shaped ndarray</li>
<li>the <code class="docutils literal notranslate"><span class="pre">shape</span></code> Py_intptr_t</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A new ndarray with the given shape and data type, with data initialized to zero.</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="n">tuple</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">empty</span><span class="p">(</span><span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">shape</span></code> or the size of all dimensions, as a tuple</li>
<li>the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> of the data</li>
<li>the <code class="docutils literal notranslate"><span class="pre">shape</span></code> Py_intptr_t</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A new ndarray with the given shape and data type, with data left uninitialized.</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">);</span>
<span class="n">ndarray</span> <span class="nf">array</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">A new ndarray from an arbitrary Python sequence, with dtype of each element specified optionally</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="k">template</span> <span class="o">&lt;</span><span class="k">typename</span> <span class="n">Container</span><span class="o">&gt;</span>
<span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_data</span><span class="p">(</span><span class="kt">void</span> <span class="o">*</span> <span class="n">data</span><span class="p">,</span><span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span><span class="n">Container</span> <span class="n">shape</span><span class="p">,</span><span class="n">Container</span> <span class="n">strides</span><span class="p">,</span><span class="n">python</span><span class="o">::</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">owner</span><span class="p">)</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">data</span></code> which is a generic C++ data container</li>
<li>the dtype <code class="docutils literal notranslate"><span class="pre">dt</span></code> of the data</li>
<li>the <code class="docutils literal notranslate"><span class="pre">shape</span></code> of the ndarray as Python object</li>
<li>the <code class="docutils literal notranslate"><span class="pre">strides</span></code> of each dimension of the array as a Python object</li>
<li>the <code class="docutils literal notranslate"><span class="pre">owner</span></code> of the data, in case it is not the ndarray itself</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">ndarray with attributes and data supplied</p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Note:</th><td class="field-body"><p class="first last">The <code class="docutils literal notranslate"><span class="pre">Container</span></code> typename must be one that is convertible to a std::vector or python object type</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span><span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>the dtype <code class="docutils literal notranslate"><span class="pre">dt</span></code> of the data</li>
<li>minimum number of dimensions <code class="docutils literal notranslate"><span class="pre">nd_min</span></code> of the ndarray as Python object</li>
<li>maximum number of dimensions <code class="docutils literal notranslate"><span class="pre">nd_max</span></code> of the ndarray as Python object</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray constructed with dimensions and data supplied as parameters</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>the dtype <code class="docutils literal notranslate"><span class="pre">dt</span></code> of the data</li>
<li>number of dimensions <code class="docutils literal notranslate"><span class="pre">nd</span></code> of the ndarray as Python object</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray with dimensions <code class="docutils literal notranslate"><span class="pre">nd</span></code> x <code class="docutils literal notranslate"><span class="pre">nd</span></code> and suplied parameters</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">dtype</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">dt</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>the dtype <code class="docutils literal notranslate"><span class="pre">dt</span></code> of the data</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">Supplied Python object as ndarray</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_min</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd_max</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>minimum number of dimensions <code class="docutils literal notranslate"><span class="pre">nd_min</span></code> of the ndarray as Python object</li>
<li>maximum number of dimensions <code class="docutils literal notranslate"><span class="pre">nd_max</span></code> of the ndarray as Python object</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">ndarray with supplied dimension limits and parameters</p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Note:</th><td class="field-body"><p class="first last">dtype need not be supplied here</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span> <span class="nf">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="kt">int</span> <span class="n">nd</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>the dtype <code class="docutils literal notranslate"><span class="pre">dt</span></code> of the data</li>
<li>number of dimensions <code class="docutils literal notranslate"><span class="pre">nd</span></code> of the ndarray as Python object</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray of <code class="docutils literal notranslate"><span class="pre">nd</span></code> x <code class="docutils literal notranslate"><span class="pre">nd</span></code> dimensions constructed from the supplied object</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span> <span class="n">from_object</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">obj</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">flags</span><span class="o">=</span><span class="n">ndarray</span><span class="o">::</span><span class="n">NONE</span><span class="p">)</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Requirements:</th><td class="field-body"><p class="first">The following parameters must be supplied :</p>
<ul class="simple">
<li>the <code class="docutils literal notranslate"><span class="pre">obj</span></code> Python object to convert to ndarray</li>
<li>optional <code class="docutils literal notranslate"><span class="pre">flags</span></code> bitflags</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">ndarray of same dimensions and dtype as supplied Python object</p>
</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="accessors">
<h2><a class="toc-backref" href="#id5">accessors</a></h2>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kt">int</span> <span class="k">const</span> <span class="nf">shape</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">The size of the n-th dimension of the ndarray</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kt">int</span> <span class="k">const</span> <span class="nf">strides</span><span class="p">(</span><span class="kt">int</span> <span class="n">n</span><span class="p">)</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">The stride of the nth dimension.</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kt">char</span> <span class="o">*</span> <span class="nf">get_data</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Array’s raw data pointer as a char</td>
</tr>
<tr class="field-even field"><th class="field-name">Note:</th><td class="field-body">This returns char so stride math works properly on it.User will have to reinterpret_cast it.</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">dtype</span> <span class="nf">get_dtype</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Array’s data-type descriptor object (dtype)</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">object</span> <span class="nf">get_base</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Object that owns the array’s data, or None if the array owns its own data.</td>
</tr>
</tbody>
</table>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kt">void</span> <span class="nf">set_base</span><span class="p">(</span><span class="n">object</span> <span class="k">const</span> <span class="o">&amp;</span> <span class="n">base</span><span class="p">);</span>
</pre></div>
</div>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Set the object that owns the array’s data. Exercise caution while using this</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_shape</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Shape of the array as an array of integers</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">Py_intptr_t</span> <span class="k">const</span> <span class="o">*</span> <span class="nf">get_strides</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Stride of the array as an array of integers</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kt">int</span> <span class="k">const</span> <span class="nf">get_nd</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Number of array dimensions</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">bitflag</span> <span class="k">const</span> <span class="nf">get_flags</span><span class="p">()</span> <span class="k">const</span><span class="p">;</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">Array flags</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">|</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">bitflag logically OR-ed as (a | b)</td>
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<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="kr">inline</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="k">operator</span><span class="o">&amp;</span><span class="p">(</span><span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">a</span><span class="p">,</span> <span class="n">ndarray</span><span class="o">::</span><span class="n">bitflag</span> <span class="n">b</span><span class="p">)</span>
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<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body">bitflag logically AND-ed as (a &amp; b)</td>
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<div class="section" id="example-s">
<h2><a class="toc-backref" href="#id6">Example(s)</a></h2>
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="k">namespace</span> <span class="n">p</span> <span class="o">=</span> <span class="n">boost</span><span class="o">::</span><span class="n">python</span><span class="p">;</span>
<span class="k">namespace</span> <span class="n">np</span> <span class="o">=</span> <span class="n">boost</span><span class="o">::</span><span class="n">python</span><span class="o">::</span><span class="n">numpy</span><span class="p">;</span>
<span class="n">p</span><span class="o">::</span><span class="n">object</span> <span class="n">tu</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="sc">&#39;a&#39;</span><span class="p">,</span><span class="sc">&#39;b&#39;</span><span class="p">,</span><span class="sc">&#39;c&#39;</span><span class="p">)</span> <span class="p">;</span>
<span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_tuple</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="n">tu</span><span class="p">)</span> <span class="p">;</span>
<span class="n">p</span><span class="o">::</span><span class="n">list</span> <span class="n">l</span> <span class="p">;</span>
<span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_list</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="n">l</span><span class="p">)</span> <span class="p">;</span>
<span class="n">np</span><span class="o">::</span><span class="n">dtype</span> <span class="n">dt</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">dtype</span><span class="o">::</span><span class="n">get_builtin</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;</span><span class="p">();</span>
<span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">example_list1</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="n">l</span><span class="p">,</span><span class="n">dt</span><span class="p">);</span>
<span class="kt">int</span> <span class="n">data</span><span class="p">[]</span> <span class="o">=</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="mi">4</span><span class="p">}</span> <span class="p">;</span>
<span class="n">p</span><span class="o">::</span><span class="n">tuple</span> <span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="p">;</span>
<span class="n">p</span><span class="o">::</span><span class="n">tuple</span> <span class="n">stride</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span> <span class="p">;</span>
<span class="n">p</span><span class="o">::</span><span class="n">object</span> <span class="n">own</span> <span class="p">;</span>
<span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">dt</span><span class="p">,</span><span class="n">shape</span><span class="p">,</span><span class="n">stride</span><span class="p">,</span><span class="n">own</span><span class="p">);</span>
<span class="kt">uint8_t</span> <span class="n">mul_data</span><span class="p">[][</span><span class="mi">4</span><span class="p">]</span> <span class="o">=</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="mi">4</span><span class="p">},{</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">8</span><span class="p">},{</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">7</span><span class="p">}};</span>
<span class="n">shape</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span> <span class="p">;</span>
<span class="n">stride</span> <span class="o">=</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span> <span class="p">;</span>
<span class="n">np</span><span class="o">::</span><span class="n">dtype</span> <span class="n">dt1</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">dtype</span><span class="o">::</span><span class="n">get_builtin</span><span class="o">&lt;</span><span class="kt">uint8_t</span><span class="o">&gt;</span><span class="p">();</span>
<span class="n">np</span><span class="o">::</span><span class="n">ndarray</span> <span class="n">mul_data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">mul_data</span><span class="p">,</span><span class="n">dt1</span><span class="p">,</span> <span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span><span class="n">p</span><span class="o">::</span><span class="n">make_tuple</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="n">p</span><span class="o">::</span><span class="n">object</span><span class="p">());</span>
<span class="n">mul_data_ex</span> <span class="o">=</span> <span class="n">np</span><span class="o">::</span><span class="n">from_data</span><span class="p">(</span><span class="n">mul_data</span><span class="p">,</span><span class="n">dt1</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span><span class="n">stride</span><span class="p">,</span><span class="n">p</span><span class="o">::</span><span class="n">object</span><span class="p">());</span>
</pre></div>
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