Improve handling of large values by inverse hyperbolic and trigonometric functions 9c8422c

Author: github-actions[bot]

pull/2928/.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: 4b93c8a98f3591519b5649d88fb760e1
+config: ccb9676684755343ce57602892065b9f
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2928/_modules/dpnp/dpnp_array.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -1948,7 +1948,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../reference/generated/dpnp.dpnp_array.dpnp_array.reshape.html#dpnp.dpnp_array.dpnp_array.reshape">[docs]</a>
     <span class="k">def</span><span class="w"> </span><span class="nf">reshape</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="n">shape</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Return an array containing the same data with a new shape.</span>
+<span class="sd">        Return a reshaped array without changing data.</span>
 
 <span class="sd">        Refer to :obj:`dpnp.reshape` for full documentation.</span>
 
@@ -2606,6 +2606,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">            * ``tuple or list of ints``: `i` in the `j`-th place in the</span>
 <span class="sd">              tuple/list means that the array’s `i`-th axis becomes the</span>
 <span class="sd">              transposed array’s `j`-th axis.</span>
+<span class="sd">              Negative indices can also be used to specify axes.</span>
 <span class="sd">            * ``n ints``: same as an n-tuple/n-list of the same integers (this</span>
 <span class="sd">              form is intended simply as a “convenience” alternative to the</span>
 <span class="sd">              tuple form).</span>
@@ -2620,8 +2621,8 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        :obj:`dpnp.transpose` : Equivalent function.</span>
 <span class="sd">        :obj:`dpnp.ndarray.ndarray.T` : Array property returning the array</span>
 <span class="sd">            transposed.</span>
-<span class="sd">        :obj:`dpnp.ndarray.reshape` : Give a new shape to an array without</span>
-<span class="sd">            changing its data.</span>
+<span class="sd">        :obj:`dpnp.ndarray.reshape` : Return a reshaped ndarray without</span>
+<span class="sd">            changing data.</span>
 
 <span class="sd">        Examples</span>
 <span class="sd">        --------</span>

pull/2928/_modules/dpnp/dpnp_array_api_info.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
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pull/2928/_modules/dpnp/dpnp_flatiter.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
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pull/2928/_modules/dpnp/dpnp_iface.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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pull/2928/_modules/dpnp/dpnp_iface_arraycreation.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -3202,7 +3202,7 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 <a class="viewcode-back" href="../../reference/generated/dpnp.meshgrid.html#dpnp.meshgrid">[docs]</a>
 <span class="k">def</span><span class="w"> </span><span class="nf">meshgrid</span><span class="p">(</span><span class="o">*</span><span class="n">xi</span><span class="p">,</span> <span class="n">copy</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sparse</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">indexing</span><span class="o">=</span><span class="s2">&quot;xy&quot;</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">    Return coordinate matrices from coordinate vectors.</span>
+<span class="sd">    Return a tuple of coordinate matrices from coordinate vectors.</span>
 
 <span class="sd">    Make N-D coordinate arrays for vectorized evaluations of</span>
 <span class="sd">    N-D scalar/vector fields over N-D grids, given</span>
@@ -3235,6 +3235,13 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 <span class="sd">        the elements of `xi` repeated to fill the matrix along the first</span>
 <span class="sd">        dimension for `x1`, the second for `x2` and so on.</span>
 
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    :obj:`dpnp.mgrid` : Construct a multi-dimensional &quot;meshgrid&quot; using</span>
+<span class="sd">        indexing notation.</span>
+<span class="sd">    :obj:`dpnp.ogrid` : Construct an open multi-dimensional &quot;meshgrid&quot; using</span>
+<span class="sd">        indexing notation.</span>
+
 <span class="sd">    Examples</span>
 <span class="sd">    --------</span>
 <span class="sd">    &gt;&gt;&gt; import dpnp as np</span>
@@ -3331,9 +3338,9 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 
 <span class="sd">    Returns</span>
 <span class="sd">    -------</span>
-<span class="sd">    out : one dpnp.ndarray or tuple of dpnp.ndarray</span>
-<span class="sd">        Returns one array of grid indices,</span>
-<span class="sd">        ``grid.shape = (len(dimensions),) + tuple(dimensions)``.</span>
+<span class="sd">    out : dpnp.ndarray</span>
+<span class="sd">        A single array, containing a set of arrays all of the same dimensions,</span>
+<span class="sd">        stacked along the first axis.</span>
 
 <span class="sd">    Examples</span>
 <span class="sd">    --------</span>
@@ -3350,6 +3357,13 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 <span class="sd">            [0, 1, 2, 3, 4],</span>
 <span class="sd">            [0, 1, 2, 3, 4]]])</span>
 
+<span class="sd">    &gt;&gt;&gt; np.mgrid[0:4].shape</span>
+<span class="sd">    (4,)</span>
+<span class="sd">    &gt;&gt;&gt; np.mgrid[0:4, 0:5].shape</span>
+<span class="sd">    (2, 4, 5)</span>
+<span class="sd">    &gt;&gt;&gt; np.mgrid[0:4, 0:5, 0:6].shape</span>
+<span class="sd">    (3, 4, 5, 6)</span>
+
 <span class="sd">    Creating an array on a different device or with a specified usm_type</span>
 
 <span class="sd">    &gt;&gt;&gt; x = np.mgrid[-1:1:5j] # default case</span>
@@ -3410,20 +3424,20 @@ <h1>Source code for dpnp.dpnp_iface_arraycreation</h1><div class="highlight"><pr
 
 <span class="sd">    Returns</span>
 <span class="sd">    -------</span>
-<span class="sd">    out : one dpnp.ndarray or tuple of dpnp.ndarray</span>
-<span class="sd">        Returns a tuple of arrays,</span>
-<span class="sd">        with grid[i].shape = (1, ..., 1, dimensions[i], 1, ..., 1)</span>
-<span class="sd">        with dimensions[i] in the i-th place.</span>
+<span class="sd">    out : dpnp.ndarray or tuple of dpnp.ndarray</span>
+<span class="sd">        If the input is a single slice, returns an array.</span>
+<span class="sd">        If the input is multiple slices, returns a tuple of arrays, with</span>
+<span class="sd">        only one dimension not equal to 1.</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; np.ogrid[0:5, 0:5]</span>
-<span class="sd">    [array([[0],</span>
+<span class="sd">    (array([[0],</span>
 <span class="sd">            [1],</span>
 <span class="sd">            [2],</span>
 <span class="sd">            [3],</span>
-<span class="sd">            [4]]), array([[0, 1, 2, 3, 4]])]</span>
+<span class="sd">            [4]]), array([[0, 1, 2, 3, 4]]))</span>
 
 <span class="sd">    Creating an array on a different device or with a specified usm_type</span>
 

pull/2928/_modules/dpnp/dpnp_iface_bitwise.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
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+      <script src="../../_static/documentation_options.js?v=672ae725"></script>
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pull/2928/_modules/dpnp/dpnp_iface_counting.html

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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 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 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>
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+      <script src="../../_static/documentation_options.js?v=672ae725"></script>
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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 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>
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+      <script src="../../_static/documentation_options.js?v=672ae725"></script>
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pull/2928/_modules/dpnp/dpnp_iface_histograms.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.21.0dev0+54.g6de8359fe50 documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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       <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=e9834f9c"></script>
+      <script src="../../_static/documentation_options.js?v=672ae725"></script>
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@@ -1254,7 +1254,7 @@ <h1>Source code for dpnp.dpnp_iface_histograms</h1><div class="highlight"><pre>
 <span class="sd">    H : dpnp.ndarray</span>
 <span class="sd">        The multidimensional histogram of sample x. See density and weights</span>
 <span class="sd">        for the different possible semantics.</span>
-<span class="sd">    edges : list of {dpnp.ndarray or usm_ndarray}</span>
+<span class="sd">    edges : list of dpnp.ndarray</span>
 <span class="sd">        A list of D arrays describing the bin edges for each dimension.</span>
 
 <span class="sd">    See Also</span>