Raise TypeError in dpnp.ndarray.__array__ b2b7759

Author: github-actions[bot]

pull/2260/.buildinfo

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 # Sphinx build info version 1
 # 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: 5b4194048054abdb982df34c180173db
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pull/2260/_modules/dpnp/dpnp_array.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -700,6 +700,25 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ``self/value``.&quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">true_divide</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span>
 
+    <span class="nd">@property</span>
+    <span class="k">def</span><span class="w"> </span><span class="nf">__usm_ndarray__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Property to support `__usm_ndarray__` protocol.</span>
+
+<span class="sd">        It assumes to return :class:`dpctl.tensor.usm_ndarray` instance</span>
+<span class="sd">        corresponding to the content of the object.</span>
+
+<span class="sd">        This property is intended to speed-up conversion from</span>
+<span class="sd">        :class:`dpnp.ndarray` to :class:`dpctl.tensor.usm_ndarray` passed</span>
+<span class="sd">        into  `dpctl.tensor.asarray` function. The input object that implements</span>
+<span class="sd">        `__usm_ndarray__` protocol is recognized as owner of USM allocation</span>
+<span class="sd">        that is managed by a smart pointer, and asynchronous deallocation</span>
+<span class="sd">        will not involve GIL.</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_array_obj</span>
+
     <span class="k">def</span><span class="w"> </span><span class="fm">__xor__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ``self^value``.&quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span>

pull/2260/_modules/dpnp/dpnp_flatiter.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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+      <script src="../../_static/documentation_options.js?v=3b4812e1"></script>
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pull/2260/_modules/dpnp/dpnp_iface.html

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-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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pull/2260/_modules/dpnp/dpnp_iface_arraycreation.html

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-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
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pull/2260/_modules/dpnp/dpnp_iface_bitwise.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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pull/2260/_modules/dpnp/dpnp_iface_counting.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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-  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
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+      <script src="../../_static/documentation_options.js?v=3b4812e1"></script>
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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+      <script src="../../_static/documentation_options.js?v=3b4812e1"></script>
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pull/2260/_modules/dpnp/dpnp_iface_libmath.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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+      <script src="../../_static/documentation_options.js?v=3b4812e1"></script>
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pull/2260/_modules/dpnp/dpnp_iface_linearalgebra.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -641,6 +641,12 @@ <h1>Source code for dpnp.dpnp_iface_linearalgebra</h1><div class="highlight"><pr
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
+    <span class="c1"># explicit casting to numpy array if applicable</span>
+    <span class="n">operands</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">dpnp</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="k">if</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">is_supported_array_type</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="k">else</span> <span class="n">x</span>
+        <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">operands</span>
+    <span class="p">]</span>
+
     <span class="k">return</span> <span class="n">numpy</span><span class="o">.</span><span class="n">einsum_path</span><span class="p">(</span>
         <span class="o">*</span><span class="n">operands</span><span class="p">,</span>
         <span class="n">optimize</span><span class="o">=</span><span class="n">optimize</span><span class="p">,</span>

pull/2260/_modules/dpnp/dpnp_iface_logic.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_logic &mdash; Data Parallel Extension for NumPy 0.17.0dev4+16.g7ec5a709dc4 documentation</title>
+  <title>dpnp.dpnp_iface_logic &mdash; Data Parallel Extension for NumPy 0.17.0dev4+20.gb2b775972f1 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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