Median 1d via sycl kernel 99ea09d

Author: github-actions[bot]

pull/2423/.buildinfo

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+config: 9bc605217f4e25477c6731c3d67703a3
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pull/2423/_modules/dpnp/dpnp_array.html

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-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.18.0dev1+12.g1051c8f07aa documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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-  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.18.0dev1+12.g1051c8f07aa documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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pull/2423/_modules/dpnp/dpnp_iface.html

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-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.18.0dev1+12.g1051c8f07aa documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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pull/2423/_modules/dpnp/dpnp_iface_arraycreation.html

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+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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+  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.18.0dev1+12.g1051c8f07aa documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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pull/2423/_modules/dpnp/dpnp_iface_indexing.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.18.0dev1+12.g1051c8f07aa documentation</title>
+  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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@@ -2355,7 +2355,7 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 
 <div class="viewcode-block" id="take_along_axis">
 <a class="viewcode-back" href="../../reference/generated/dpnp.take_along_axis.html#dpnp.take_along_axis">[docs]</a>
-<span class="k">def</span><span class="w"> </span><span class="nf">take_along_axis</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;wrap&quot;</span><span class="p">):</span>
+<span class="k">def</span><span class="w"> </span><span class="nf">take_along_axis</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;wrap&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Take values from the input array by matching 1d index and data slices.</span>
 
@@ -2377,9 +2377,12 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 <span class="sd">        dimension of the input array, but dimensions ``Ni`` and ``Nj``</span>
 <span class="sd">        only need to broadcast against `a`.</span>
 <span class="sd">    axis : {None, int}</span>
-<span class="sd">        The axis to take 1d slices along. If axis is ``None``, the input</span>
-<span class="sd">        array is treated as if it had first been flattened to 1d,</span>
-<span class="sd">        for consistency with :obj:`dpnp.sort` and :obj:`dpnp.argsort`.</span>
+<span class="sd">        The axis to take 1d slices along. If axis is ``None``, the input array</span>
+<span class="sd">        is treated as if it had first been flattened to 1d. The default is</span>
+<span class="sd">        ``-1``, which takes 1d slices along the last axis. These behaviors are</span>
+<span class="sd">        consistent with :obj:`dpnp.sort` and :obj:`dpnp.argsort`.</span>
+
+<span class="sd">        Default: ``-1``.</span>
 <span class="sd">    mode : {&quot;wrap&quot;, &quot;clip&quot;}, optional</span>
 <span class="sd">        Specifies how out-of-bounds indices will be handled. Possible values</span>
 <span class="sd">        are:</span>
@@ -2424,8 +2427,8 @@ <h1>Source code for dpnp.dpnp_iface_indexing</h1><div class="highlight"><pre>
 <span class="sd">    array([[10, 20, 30],</span>
 <span class="sd">           [40, 50, 60]])</span>
 
-<span class="sd">    The same works for max and min, if you maintain the trivial dimension</span>
-<span class="sd">    with ``keepdims``:</span>
+<span class="sd">    The same works for :obj:`dpnp.max` and :obj:`dpnp.min`, if you maintain</span>
+<span class="sd">    the trivial dimension with ``keepdims``:</span>
 
 <span class="sd">    &gt;&gt;&gt; np.max(a, axis=1, keepdims=True)</span>
 <span class="sd">    array([[30],</span>

pull/2423/_modules/dpnp/dpnp_iface_libmath.html

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+  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.18.0dev3+12.g99ea09d52fa documentation</title>
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