implement dpnp.ndim and dpnp.size (#2014)

* implement dpnp.ndim

* rename direcotry

* implement dpnp.size

* remove parameters section 2f9b2fa

Author: github-actions[bot]

.buildinfo

@@ -1,4 +1,4 @@
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_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 0.16.0dev0+163.g75bb4e78273 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.16.0dev0+164.g2f9b2fac56f documentation</title>
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         <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
               <div class="version">
-                0.16.0dev0+163.g75bb4e78273
+                0.16.0dev0+164.g2f9b2fac56f
               </div>
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@@ -1306,7 +1306,33 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">ndim</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="w">        </span><span class="sd">&quot;&quot;&quot;Number of array dimensions.&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Return the number of dimensions of an array.</span>
+
+<span class="sd">        For full documentation refer to :obj:`numpy.ndarray.ndim`.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        number_of_dimensions : int</span>
+<span class="sd">            The number of dimensions in `a`.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :obj:`dpnp.ndim` : Equivalent method for any array-like input.</span>
+<span class="sd">        :obj:`dpnp.shape` : Return the shape of an array.</span>
+<span class="sd">        :obj:`dpnp.ndarray.shape` : Return the shape of an array.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">        &gt;&gt;&gt; import dpnp as np</span>
+<span class="sd">        &gt;&gt;&gt; x = np.array([1, 2, 3])</span>
+<span class="sd">        &gt;&gt;&gt; x.ndim</span>
+<span class="sd">        1</span>
+<span class="sd">        &gt;&gt;&gt; y = np.zeros((2, 3, 4))</span>
+<span class="sd">        &gt;&gt;&gt; y.ndim</span>
+<span class="sd">        3</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="o">.</span><span class="n">ndim</span>
 
@@ -1607,7 +1633,29 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
     <span class="nd">@property</span>
     <span class="k">def</span> <span class="nf">size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-<span class="w">        </span><span class="sd">&quot;&quot;&quot;Number of elements in the array.&quot;&quot;&quot;</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Number of elements in the array.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        element_count : int</span>
+<span class="sd">            Number of elements in the array.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :obj:`dpnp.size` : Return the number of elements along a given axis.</span>
+<span class="sd">        :obj:`dpnp.shape` : Return the shape of an array.</span>
+<span class="sd">        :obj:`dpnp.ndarray.shape` : Return the shape of an array.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">        &gt;&gt;&gt; import dpnp as np</span>
+<span class="sd">        &gt;&gt;&gt; x = np.zeros((3, 5, 2), dtype=np.complex64)</span>
+<span class="sd">        &gt;&gt;&gt; x.size</span>
+<span class="sd">        30</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="o">.</span><span class="n">size</span>
 
 <div class="viewcode-block" id="dpnp_array.sort">

_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 0.16.0dev0+163.g75bb4e78273 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.16.0dev0+164.g2f9b2fac56f documentation</title>
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             Data Parallel Extension for NumPy
           </a>
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-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+163.g75bb4e78273 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.16.0dev0+164.g2f9b2fac56f documentation</title>
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+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.16.0dev0+164.g2f9b2fac56f documentation</title>
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-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.16.0dev0+163.g75bb4e78273 documentation</title>
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-  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.16.0dev0+163.g75bb4e78273 documentation</title>
+  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.16.0dev0+164.g2f9b2fac56f documentation</title>
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