Add implementation of dpnp.divmod (#2674)

The PR implements `dpnp.divmod` function.

The new `DPNPBinaryTwoOutputsFunc` class is added to support binary
elementwise functions with two output arrays.
Also, the Python built-in function `divmod` is working now with
`dpnp.ndarray`. 4a0d4e1

Author: github-actions[bot]

.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: cee34b4734fbcca04720d97fe0e97773
+config: 11be440c04312d5391642a4407d16185
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_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 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f 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>
-      <script src="../../_static/documentation_options.js?v=01695ec3"></script>
+      <script src="../../_static/documentation_options.js?v=c1764773"></script>
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@@ -301,7 +301,10 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="c1"># &#39;__deepcopy__&#39;,</span>
     <span class="c1"># &#39;__dir__&#39;,</span>
-    <span class="c1"># &#39;__divmod__&#39;,</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="fm">__divmod__</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="o">/</span><span class="p">):</span>
+<span class="w">        </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return :math:`\text{divmod(self, value)}`.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">divmod</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="k">def</span><span class="w"> </span><span class="nf">__dlpack__</span><span class="p">(</span>
         <span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">stream</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">max_version</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dl_device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="kc">None</span>
@@ -582,7 +585,10 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return :math:`\text{value &amp; self}`.&quot;&quot;&quot;</span>
         <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">bitwise_and</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span>
 
-    <span class="c1"># &#39;__rdivmod__&#39;,</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__rdivmod__</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="o">/</span><span class="p">):</span>
+<span class="w">        </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return :math:`\text{divmod(value, self)}`.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">divmod</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span>
+
     <span class="c1"># &#39;__reduce__&#39;,</span>
     <span class="c1"># &#39;__reduce_ex__&#39;,</span>
 
@@ -592,7 +598,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__rfloordiv__</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="o">/</span><span class="p">):</span>
 <span class="w">        </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return :math:`\text{value // self}`.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">floor_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="k">return</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">floor_divide</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__rlshift__</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="o">/</span><span class="p">):</span>
 <span class="w">        </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Return :math:`\text{value &lt;&lt; self}`.&quot;&quot;&quot;</span>

_modules/dpnp/dpnp_array_api_info.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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_modules/dpnp/dpnp_iface_bitwise.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.20.0dev1+22.g225b0db7064 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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+  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.20.0dev1+23.g4a0d4e12d8f documentation</title>
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+      <script src="../../_static/documentation_options.js?v=c1764773"></script>
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