Disallow scalar conversion for non-0D arrays cb2c05c

Author: github-actions[bot]

pull/2694/.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: 91cfde2e92d8fb5259c8160ac54b30d8
+config: fa0f69c13a02e7d61e585be0399a2d03
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2694/_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+27.ged2a8d46842 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.20.0dev1+51.gcb2c05c62a5 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <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=1623c62b"></script>
+      <script src="../../_static/documentation_options.js?v=2905085d"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -283,7 +283,6 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__complex__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert a zero-dimensional array to a Python complex object.&quot;&quot;&quot;</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_check_scalar_convertible</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_array_obj</span><span class="o">.</span><span class="fm">__complex__</span><span class="p">()</span>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="o">/</span><span class="p">):</span>
@@ -302,7 +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>
@@ -390,7 +392,6 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__float__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert a zero-dimensional array to a Python float object.&quot;&quot;&quot;</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_check_scalar_convertible</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_array_obj</span><span class="o">.</span><span class="fm">__float__</span><span class="p">()</span>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__floordiv__</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>
@@ -482,7 +483,6 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__int__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert a zero-dimensional array to a Python int object.&quot;&quot;&quot;</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_check_scalar_convertible</span><span class="p">()</span>
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_array_obj</span><span class="o">.</span><span class="fm">__int__</span><span class="p">()</span>
 
     <span class="k">def</span><span class="w"> </span><span class="fm">__invert__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">/</span><span class="p">):</span>
@@ -585,7 +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>
 
@@ -595,7 +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>
@@ -700,14 +703,6 @@ <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{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>
 
-    <span class="k">def</span><span class="w"> </span><span class="nf">_check_scalar_convertible</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="w">        </span><span class="sd">&quot;&quot;&quot;Raise if array cannot be converted to a Python scalar.&quot;&quot;&quot;</span>
-        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
-            <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
-                <span class="s2">&quot;Only 0-dimensional dpnp.ndarray can be converted &quot;</span>
-                <span class="s2">&quot;to a Python scalar&quot;</span>
-            <span class="p">)</span>
-
     <span class="nd">@staticmethod</span>
     <span class="k">def</span><span class="w"> </span><span class="nf">_create_from_usm_ndarray</span><span class="p">(</span><span class="n">usm_ary</span><span class="p">:</span> <span class="n">dpt</span><span class="o">.</span><span class="n">usm_ndarray</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
@@ -2632,7 +2627,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright 2020-2025, Intel Corporation.</p>
+    <p>&#169; Copyright 2020-2026, Intel Corporation.</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a

pull/2694/_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+27.ged2a8d46842 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev1+51.gcb2c05c62a5 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <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=1623c62b"></script>
+      <script src="../../_static/documentation_options.js?v=2905085d"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -123,8 +123,6 @@ <h1>Source code for dpnp.dpnp_array_api_info</h1><div class="highlight"><pre>
 
 <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>
 
-<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;__array_namespace_info__&quot;</span><span class="p">]</span>
-
 
 <div class="viewcode-block" id="__array_namespace_info__">
 <a class="viewcode-back" href="../../reference/generated/dpnp.__array_namespace_info__.html#dpnp.__array_namespace_info__">[docs]</a>
@@ -168,7 +166,7 @@ <h1>Source code for dpnp.dpnp_array_api_info</h1><div class="highlight"><pre>
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright 2020-2025, Intel Corporation.</p>
+    <p>&#169; Copyright 2020-2026, Intel Corporation.</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a

pull/2694/_modules/dpnp/dpnp_flatiter.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev1+27.ged2a8d46842 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev1+51.gcb2c05c62a5 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=e59714d7" />
 
 
       <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=1623c62b"></script>
+      <script src="../../_static/documentation_options.js?v=2905085d"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -185,7 +185,7 @@ <h1>Source code for dpnp.dpnp_flatiter</h1><div class="highlight"><pre>
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright 2020-2025, Intel Corporation.</p>
+    <p>&#169; Copyright 2020-2026, Intel Corporation.</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a