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Author: github-actions[bot]

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_modules/dpnp/dpnp_array.html

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-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.15.0dev1+9.g5f7518807b documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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@@ -23,7 +23,7 @@
 
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@@ -43,7 +43,7 @@
             Data Parallel Extension for NumPy
           </a>
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+                0.15.0dev1+7.g7a8a3bdd39
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@@ -1552,31 +1552,21 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="sd">        For full documentation refer to :obj:`numpy.ndarray.transpose`.</span>
 
-<span class="sd">        Parameters</span>
-<span class="sd">        ----------</span>
-<span class="sd">        axes : None, tuple or list of ints, n ints, optional</span>
-<span class="sd">            * ``None`` or no argument: reverses the order of the axes.</span>
-<span class="sd">            * tuple or list of ints: `i` in the `j`-th place in the tuple/list</span>
-<span class="sd">            means that the array’s `i`-th axis becomes the transposed</span>
-<span class="sd">            array’s `j`-th axis.</span>
-<span class="sd">            * n ints: same as an n-tuple/n-list of the same ints (this form is</span>
-<span class="sd">            intended simply as a “convenience” alternative to the tuple form).</span>
-
 <span class="sd">        Returns</span>
 <span class="sd">        -------</span>
-<span class="sd">        out : dpnp.ndarray</span>
+<span class="sd">        y : dpnp.ndarray</span>
 <span class="sd">            View of the array with its axes suitably permuted.</span>
 
 <span class="sd">        See Also</span>
 <span class="sd">        --------</span>
-<span class="sd">        :obj:`dpnp.transpose` : Equivalent function.</span>
-<span class="sd">        :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array transposed.</span>
-<span class="sd">        :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without changing its data.</span>
+<span class="sd">            :obj:`dpnp.transpose` : Equivalent function.</span>
+<span class="sd">            :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array transposed.</span>
+<span class="sd">            :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without changing its data.</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; a = np.array([[1, 2], [3, 4]])</span>
+<span class="sd">        &gt;&gt;&gt; import dpnp as dp</span>
+<span class="sd">        &gt;&gt;&gt; a = dp.array([[1, 2], [3, 4]])</span>
 <span class="sd">        &gt;&gt;&gt; a</span>
 <span class="sd">        array([[1, 2],</span>
 <span class="sd">               [3, 4]])</span>
@@ -1587,7 +1577,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        array([[1, 3],</span>
 <span class="sd">               [2, 4]])</span>
 
-<span class="sd">        &gt;&gt;&gt; a = np.array([1, 2, 3, 4])</span>
+<span class="sd">        &gt;&gt;&gt; a = dp.array([1, 2, 3, 4])</span>
 <span class="sd">        &gt;&gt;&gt; a</span>
 <span class="sd">        array([1, 2, 3, 4])</span>
 <span class="sd">        &gt;&gt;&gt; a.transpose()</span>
@@ -1600,7 +1590,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
             <span class="k">return</span> <span class="bp">self</span>
 
         <span class="n">axes_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">axes</span><span class="p">)</span>
-        <span class="k">if</span> <span class="n">axes_len</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">)):</span>
+        <span class="k">if</span> <span class="n">axes_len</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">tuple</span><span class="p">):</span>
             <span class="n">axes</span> <span class="o">=</span> <span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
 
         <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="n">dpnp_array</span><span class="p">)</span>

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+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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-  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.15.0dev1+9.g5f7518807b documentation</title>
+  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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+  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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+  <title>dpnp.dpnp_iface_logic &mdash; Data Parallel Extension for NumPy 0.15.0dev1+7.g7a8a3bdd39 documentation</title>
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