Implement of dpnp.linalg.cholesky() eafb369

Author: github-actions[bot]

pull/1638/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: df4b187186ca21eb3df4e89dbc362387
+config: af9fb6a3eb261c493408ad011a766972
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/1638/_modules/dpnp/dpnp_array.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.13.1dev1+23.gd469a12e52 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.13.1dev2+30.geafb369c67 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=19f00094" />
 
@@ -23,7 +23,7 @@
 
         <script src="../../_static/jquery.js?v=5d32c60e"></script>
         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script src="../../_static/documentation_options.js?v=7183143b"></script>
+        <script src="../../_static/documentation_options.js?v=c6f38219"></script>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.13.1dev1+23.gd469a12e52
+                0.13.1dev2+30.geafb369c67
               </div>
 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
@@ -90,7 +90,7 @@
   <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span></span><span class="c1"># -*- coding: utf-8 -*-</span>
 <span class="c1"># *****************************************************************************</span>
-<span class="c1"># Copyright (c) 2016-2023, Intel Corporation</span>
+<span class="c1"># Copyright (c) 2016-2024, Intel Corporation</span>
 <span class="c1"># All rights reserved.</span>
 <span class="c1">#</span>
 <span class="c1"># Redistribution and use in source and binary forms, with or without</span>
@@ -777,7 +777,19 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">choose</span><span class="p">(</span><span class="nb">input</span><span class="p">,</span> <span class="n">choices</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">mode</span><span class="p">)</span></div>
 
 
-    <span class="c1"># &#39;clip&#39;,</span>
+<div class="viewcode-block" id="dpnp_array.clip">
+<a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.clip">[docs]</a>
+    <span class="k">def</span> <span class="nf">clip</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Clip (limit) the values in an array.</span>
+
+<span class="sd">        Refer to :obj:`dpnp.clip` for full documentation.</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">min</span><span class="p">,</span> <span class="nb">max</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">out</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
     <span class="c1"># &#39;compress&#39;,</span>
 
 <div class="viewcode-block" id="dpnp_array.conj">
@@ -1381,15 +1393,23 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <div class="viewcode-block" id="dpnp_array.std">
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.std">[docs]</a>
-    <span class="k">def</span> <span class="nf">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
-<span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns the variance of the array elements, along given axis.</span>
-
-<span class="sd">        .. seealso::</span>
-<span class="sd">           :obj:`dpnp.var` for full documentation,</span>
+    <span class="k">def</span> <span class="nf">std</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <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="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>
 
+<span class="sd">        Refer to :obj:`dpnp.std` for full documentation.</span>
 <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></div>
+        <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></div>
 
 
     <span class="nd">@property</span>
@@ -1424,10 +1444,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Returns the sum along a given axis.</span>
 
-<span class="sd">        .. seealso::</span>
-<span class="sd">           :obj:`dpnp.sum` for full documentation,</span>
-<span class="sd">           :meth:`dpnp.dparray.sum`</span>
-
+<span class="sd">        For full documentation refer to :obj:`dpnp.sum`.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span>
@@ -1536,23 +1553,22 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <div class="viewcode-block" id="dpnp_array.var">
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.html#dpnp.dpnp_array.dpnp_array.var">[docs]</a>
-    <span class="k">def</span> <span class="nf">var</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">var</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <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="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>
-
-<span class="sd">        Masked entries are ignored, and result elements which are not</span>
-<span class="sd">        finite will be masked.</span>
-
-<span class="sd">        Refer to `numpy.var` for full documentation.</span>
-
-<span class="sd">        See Also</span>
-<span class="sd">        --------</span>
-<span class="sd">        :obj:`numpy.ndarray.var` : corresponding function for ndarrays</span>
-<span class="sd">        :obj:`numpy.var` : Equivalent function</span>
+<span class="sd">        Returns the variance of the array elements, along given axis.</span>
 
+<span class="sd">        Refer to :obj:`dpnp.var` for full documentation.</span>
 <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></div>
+        <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></div>
 </div>
 
 
@@ -1567,7 +1583,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright 2020-2023, Intel Corporation.</p>
+    <p>&#169; Copyright 2020-2024, Intel Corporation.</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a

pull/1638/_modules/dpnp/dpnp_flatiter.html

@@ -12,7 +12,7 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.13.1dev1+23.gd469a12e52 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.13.1dev2+30.geafb369c67 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=19f00094" />
 
@@ -23,7 +23,7 @@
 
         <script src="../../_static/jquery.js?v=5d32c60e"></script>
         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-        <script src="../../_static/documentation_options.js?v=7183143b"></script>
+        <script src="../../_static/documentation_options.js?v=c6f38219"></script>
         <script src="../../_static/doctools.js?v=888ff710"></script>
         <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.13.1dev1+23.gd469a12e52
+                0.13.1dev2+30.geafb369c67
               </div>
 <div role="search">
   <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
@@ -90,7 +90,7 @@
   <h1>Source code for dpnp.dpnp_flatiter</h1><div class="highlight"><pre>
 <span></span><span class="c1"># -*- coding: utf-8 -*-</span>
 <span class="c1"># *****************************************************************************</span>
-<span class="c1"># Copyright (c) 2016-2023, Intel Corporation</span>
+<span class="c1"># Copyright (c) 2016-2024, Intel Corporation</span>
 <span class="c1"># All rights reserved.</span>
 <span class="c1">#</span>
 <span class="c1"># Redistribution and use in source and binary forms, with or without</span>
@@ -200,7 +200,7 @@ <h1>Source code for dpnp.dpnp_flatiter</h1><div class="highlight"><pre>
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright 2020-2023, Intel Corporation.</p>
+    <p>&#169; Copyright 2020-2024, Intel Corporation.</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a