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<!DOCTYPE html>
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<title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev0+16.gea1f6919d27 documentation</title>
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<h1>Source code for dpnp.dpnp_array_api_info</h1><div class="highlight"><pre>
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<span></span><span class="c1"># -*- coding: utf-8 -*-</span>
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<span class="c1"># *****************************************************************************</span>
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<span class="c1"># Copyright (c) 2025, Intel Corporation</span>
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<span class="c1"># All rights reserved.</span>
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<span class="c1">#</span>
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<span class="c1"># Redistribution and use in source and binary forms, with or without</span>
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<span class="c1"># modification, are permitted provided that the following conditions are met:</span>
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<span class="c1"># - Redistributions of source code must retain the above copyright notice,</span>
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<span class="c1"># this list of conditions and the following disclaimer.</span>
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<span class="c1"># - Redistributions in binary form must reproduce the above copyright notice,</span>
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<span class="c1"># this list of conditions and the following disclaimer in the documentation</span>
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<span class="c1"># and/or other materials provided with the distribution.</span>
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<span class="c1"># - Neither the name of the copyright holder nor the names of its contributors</span>
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<span class="c1"># may be used to endorse or promote products derived from this software</span>
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<span class="c1"># without specific prior written permission.</span>
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<span class="c1">#</span>
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<span class="c1"># THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot;</span>
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<span class="c1"># AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE</span>
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<span class="c1"># IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE</span>
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<span class="c1"># ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE</span>
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<span class="c1"># LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR</span>
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<span class="c1"># CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF</span>
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<span class="c1"># SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS</span>
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<span class="c1"># INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN</span>
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<span class="c1"># CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)</span>
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<span class="c1"># ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF</span>
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<span class="c1"># THE POSSIBILITY OF SUCH DAMAGE.</span>
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<span class="c1"># *****************************************************************************</span>
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<span class="sd">&quot;&quot;&quot;</span>
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<span class="sd">Array API Inspection namespace</span>
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<span class="sd">This is the namespace for inspection functions as defined by the array API</span>
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<span class="sd">standard. See</span>
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<span class="sd">https://data-apis.org/array-api/latest/API_specification/inspection.html for</span>
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<span class="sd">more details.</span>
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<span class="sd">&quot;&quot;&quot;</span>
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<span class="kn">import</span><span class="w"> </span><span class="nn">dpctl.tensor</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">dpt</span>
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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;__array_namespace_info__&quot;</span><span class="p">]</span>
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<div class="viewcode-block" id="__array_namespace_info__">
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<a class="viewcode-back" href="../../reference/generated/dpnp.__array_namespace_info__.html#dpnp.__array_namespace_info__">[docs]</a>
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<span class="k">def</span><span class="w"> </span><span class="nf">__array_namespace_info__</span><span class="p">():</span>
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<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
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<span class="sd"> Returns a namespace with Array API namespace inspection utilities.</span>
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<span class="sd"> The array API inspection namespace defines the following functions:</span>
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<span class="sd"> - capabilities()</span>
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<span class="sd"> - default_device()</span>
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<span class="sd"> - default_dtypes()</span>
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<span class="sd"> - dtypes()</span>
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<span class="sd"> - devices()</span>
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<span class="sd"> Returns</span>
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<span class="sd"> -------</span>
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<span class="sd"> info : ModuleType</span>
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<span class="sd"> The array API inspection namespace for DPNP.</span>
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<span class="sd"> Examples</span>
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<span class="sd"> --------</span>
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<span class="sd"> &gt;&gt;&gt; import dpnp as np</span>
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<span class="sd"> &gt;&gt;&gt; info = np.__array_namespace_info__()</span>
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<span class="sd"> &gt;&gt;&gt; info.default_dtypes() # may vary and depends on default device</span>
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<span class="sd"> {&#39;real floating&#39;: dtype(&#39;float64&#39;),</span>
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<span class="sd"> &#39;complex floating&#39;: dtype(&#39;complex128&#39;),</span>
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<span class="sd"> &#39;integral&#39;: dtype(&#39;int64&#39;),</span>
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<span class="sd"> &#39;indexing&#39;: dtype(&#39;int64&#39;)}</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="k">return</span> <span class="n">dpt</span><span class="o">.</span><span class="n">__array_namespace_info__</span><span class="p">()</span></div>
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</pre></div>
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