Explicit shape comparison for dpnp and numpy outputs fee8789

Author: github-actions[bot]

pull/2295/.buildinfo

@@ -1,4 +1,4 @@
 # 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.
-config: 00c03c68b026f079dd3c20dedf219e0e
+config: 2b21481997fe54a24a4a17b6178a8f76
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2295/_modules/dpnp/dpnp_array.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev5+25.g0f4fd881005 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev6+22.gfee87895323 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
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+      <script src="../../_static/documentation_options.js?v=902c1fd5"></script>
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@@ -867,12 +867,14 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.asnumpy.html#dpnp.dpnp_array.dpnp_array.asnumpy">[docs]</a>
     <span class="k">def</span><span class="w"> </span><span class="nf">asnumpy</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">        Copy content of the array into :class:`numpy.ndarray` instance of the same shape and data type.</span>
+<span class="sd">        Copy content of the array into :class:`numpy.ndarray` instance of</span>
+<span class="sd">        the same shape and data type.</span>
 
 <span class="sd">        Returns</span>
 <span class="sd">        -------</span>
-<span class="sd">        numpy.ndarray</span>
-<span class="sd">            An instance of :class:`numpy.ndarray` populated with the array content.</span>
+<span class="sd">        out : numpy.ndarray</span>
+<span class="sd">            An instance of :class:`numpy.ndarray` populated with the array</span>
+<span class="sd">            content.</span>
 
 <span class="sd">        &quot;&quot;&quot;</span>
 
@@ -899,7 +901,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        x1 : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">            Array data type casting.</span>
-<span class="sd">        dtype : dtype</span>
+<span class="sd">        dtype : {None, str, dtype object}</span>
 <span class="sd">            Target data type.</span>
 <span class="sd">        order : {&quot;C&quot;, &quot;F&quot;, &quot;A&quot;, &quot;K&quot;}, optional</span>
 <span class="sd">            Row-major (C-style) or column-major (Fortran-style) order.</span>
@@ -1926,6 +1928,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
         <span class="o">*</span><span class="p">,</span>
         <span class="n">where</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
         <span class="n">mean</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">correction</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Returns the standard deviation of the array elements, along given axis.</span>
@@ -1935,7 +1938,15 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">std</span><span class="p">(</span>
-            <span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">,</span> <span class="n">mean</span><span class="o">=</span><span class="n">mean</span>
+            <span class="bp">self</span><span class="p">,</span>
+            <span class="n">axis</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="p">,</span>
+            <span class="n">out</span><span class="p">,</span>
+            <span class="n">ddof</span><span class="p">,</span>
+            <span class="n">keepdims</span><span class="p">,</span>
+            <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">,</span>
+            <span class="n">mean</span><span class="o">=</span><span class="n">mean</span><span class="p">,</span>
+            <span class="n">correction</span><span class="o">=</span><span class="n">correction</span><span class="p">,</span>
         <span class="p">)</span></div>
 
 
@@ -2056,7 +2067,6 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
     <span class="c1"># &#39;tobytes&#39;,</span>
     <span class="c1"># &#39;tofile&#39;,</span>
     <span class="c1"># &#39;tolist&#39;,</span>
-    <span class="c1"># &#39;tostring&#39;,</span>
 
 <div class="viewcode-block" id="dpnp_array.trace">
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.trace.html#dpnp.dpnp_array.dpnp_array.trace">[docs]</a>
@@ -2157,6 +2167,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
         <span class="o">*</span><span class="p">,</span>
         <span class="n">where</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
         <span class="n">mean</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">correction</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Returns the variance of the array elements, along given axis.</span>
@@ -2166,7 +2177,15 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">var</span><span class="p">(</span>
-            <span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">dtype</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">ddof</span><span class="p">,</span> <span class="n">keepdims</span><span class="p">,</span> <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">,</span> <span class="n">mean</span><span class="o">=</span><span class="n">mean</span>
+            <span class="bp">self</span><span class="p">,</span>
+            <span class="n">axis</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="p">,</span>
+            <span class="n">out</span><span class="p">,</span>
+            <span class="n">ddof</span><span class="p">,</span>
+            <span class="n">keepdims</span><span class="p">,</span>
+            <span class="n">where</span><span class="o">=</span><span class="n">where</span><span class="p">,</span>
+            <span class="n">mean</span><span class="o">=</span><span class="n">mean</span><span class="p">,</span>
+            <span class="n">correction</span><span class="o">=</span><span class="n">correction</span><span class="p">,</span>
         <span class="p">)</span></div>
 </div>
 

pull/2295/_modules/dpnp/fft/dpnp_iface_fft.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.fft.dpnp_iface_fft &mdash; Data Parallel Extension for NumPy 0.17.0dev5+25.g0f4fd881005 documentation</title>
+  <title>dpnp.fft.dpnp_iface_fft &mdash; Data Parallel Extension for NumPy 0.17.0dev6+22.gfee87895323 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=902c1fd5"></script>
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