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‎pull/2595/.buildinfo‎

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# Sphinx build info version 1
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# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: e716b57b54f33f5df7d9df88c2335b5c
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config: e498b761b54f32fe98d49838a1d9b0f1
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tags: 645f666f9bcd5a90fca523b33c5a78b7

‎pull/2595/_modules/dpnp/dpnp_array.html‎

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‎pull/2595/_modules/dpnp/dpnp_array_api_info.html‎

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</script>
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<title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.19.0dev6+5.gf615e6b5848 documentation</title>
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<title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev1+7.g64b458904ac documentation</title>
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<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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<div itemprop="articleBody">
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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></span><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"># - 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>

‎pull/2595/_modules/dpnp/dpnp_flatiter.html‎

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<title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.19.0dev6+5.gf615e6b5848 documentation</title>
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<title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev1+7.g64b458904ac documentation</title>
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<h1>Source code for dpnp.dpnp_flatiter</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) 2016-2025, Intel Corporation</span>
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<span></span><span class="c1"># *****************************************************************************</span>
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<span class="c1"># Copyright (c) 2016, 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"># - 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>

‎pull/2595/_modules/dpnp/dpnp_iface.html‎

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<title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.19.0dev6+5.gf615e6b5848 documentation</title>
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<title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.20.0dev1+7.g64b458904ac documentation</title>
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<h1>Source code for dpnp.dpnp_iface</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) 2016-2025, Intel Corporation</span>
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<span></span><span class="c1"># *****************************************************************************</span>
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<span class="c1"># Copyright (c) 2016, 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"># - 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="kn">import</span><span class="w"> </span><span class="nn">dpnp</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.dpnp_algo</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.dpnp_array</span><span class="w"> </span><span class="kn">import</span> <span class="n">dpnp_array</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.fft</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.linalg</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.memory</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.random</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.special</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
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<span class="s2">&quot;are_same_logical_tensors&quot;</span><span class="p">,</span>

‎pull/2595/_modules/dpnp/dpnp_iface_arraycreation.html‎

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<title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.19.0dev6+5.gf615e6b5848 documentation</title>
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<title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.20.0dev1+7.g64b458904ac documentation</title>
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<link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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<h1>Source code for dpnp.dpnp_iface_arraycreation</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) 2016-2025, Intel Corporation</span>
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<span></span><span class="c1"># *****************************************************************************</span>
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<span class="c1"># Copyright (c) 2016, 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"># - 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="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="sd"> --------</span>
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<span class="sd"> :obj:`dpnp.asarray` : Similar function which always returns ndarrays.</span>
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<span class="sd"> :obj:`dpnp.ascontiguousarray` : Convert input to a contiguous array.</span>
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<span class="sd"> :obj:`dpnp.asfarray` : Convert input to a floating point ndarray.</span>
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<span class="sd"> :obj:`dpnp.asfortranarray` : Convert input to an ndarray with column-major</span>
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<span class="sd"> :obj:`dpnp.asarray_chkfinite` : Similar function which checks input</span>
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<span class="sd"> --------</span>
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<span class="sd"> :obj:`dpnp.asanyarray` : Similar function which passes through subclasses.</span>
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<span class="sd"> :obj:`dpnp.ascontiguousarray` : Convert input to a contiguous array.</span>
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<span class="sd"> :obj:`dpnp.asfarray` : Convert input to a floating point ndarray.</span>
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<span class="sd"> :obj:`dpnp.asfortranarray` : Convert input to an ndarray with column-major</span>
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<span class="sd"> :obj:`dpnp.asfortranarray` : Convert input to an ndarray with column-majors</span>
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<span class="sd"> :obj:`dpnp.fromfile` : Construct array from data in a text or binary file.</span>
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<span class="sd"> :obj:`dpnp.fromiter` : Construct array from an iterable object.</span>
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<span class="sd"> :obj:`dpnp.fromstring` : Construct array from the text data in a string.</span>
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<span class="sd"> :obj:`ndarray.tobytes` : Construct Python bytes from the raw data bytes</span>
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<span class="sd"> in the array.</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"> Raises</span>
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<span class="sd"> ------</span>
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<span class="sd"> TypeError</span>
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<span class="sd"> if `obj` does not implement ``__dlpack__`` method</span>
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<span class="sd"> If `x` does not implement ``__dlpack__`` method.</span>
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<span class="sd"> ValueError</span>
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<span class="sd"> if data of the input object resides on an unsupported device</span>
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<span class="sd"> If data of the input object resides on an unsupported device.</span>
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<span class="sd"> DLPackCreationError</span>
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<span class="sd"> a non-default context.</span>
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<span class="sd"> Notes</span>
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<span class="sd"> -----</span>

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