Improve handling of large values by inverse hyperbolic and trigonometric functions e19bdef

Author: github-actions[bot]

pull/2928/.buildinfo

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 # 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: ccb9676684755343ce57602892065b9f
+config: dd2fd8ab9618cb7610062f05179f99a3
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pull/2928/_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 0.21.0dev1+33.g9c8422ce329 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.21.0dev2+17.ge19bdef7456 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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@@ -2022,10 +2022,11 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="sd">        For full documentation refer to :obj:`numpy.ndarray.shape`.</span>
 
-<span class="sd">        Note</span>
-<span class="sd">        ----</span>
+<span class="sd">        Warnings</span>
+<span class="sd">        --------</span>
+<span class="sd">        Setting ``a.shape`` is deprecated and may be removed in the future.</span>
 <span class="sd">        Using :obj:`dpnp.ndarray.reshape` or :obj:`dpnp.reshape` is the</span>
-<span class="sd">        preferred approach to set new shape of an array.</span>
+<span class="sd">        preferred approach.</span>
 
 <span class="sd">        See Also</span>
 <span class="sd">        --------</span>
@@ -2043,15 +2044,6 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; y.shape</span>
 <span class="sd">        (2, 3, 4)</span>
 
-<span class="sd">        &gt;&gt;&gt; y.shape = (3, 8)</span>
-<span class="sd">        &gt;&gt;&gt; y</span>
-<span class="sd">        array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],</span>
-<span class="sd">               [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],</span>
-<span class="sd">               [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])</span>
-<span class="sd">        &gt;&gt;&gt; y.shape = (3, 6)</span>
-<span class="sd">        ...</span>
-<span class="sd">        TypeError: Can not reshape array of size 24 into (3, 6)</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">shape</span>
@@ -2077,8 +2069,15 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="sd">            New shape. Only non-negative values are supported. The new shape</span>
 <span class="sd">            may not lead to the change in the number of elements in the array.</span>
 
+<span class="sd">        Warnings</span>
+<span class="sd">        --------</span>
+<span class="sd">        Setting ``a.shape`` is deprecated and may be removed in the future.</span>
+<span class="sd">        Using :obj:`dpnp.ndarray.reshape` or :obj:`dpnp.reshape` is the</span>
+<span class="sd">        preferred approach.</span>
+
 <span class="sd">        &quot;&quot;&quot;</span>
 
+        <span class="c1"># the underlying usm_ndarray shape setter raises a deprecation warning</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_array_obj</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">newshape</span>
 
     <span class="nd">@property</span>
@@ -2413,7 +2412,7 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="sd">        Parameters</span>
 <span class="sd">        ----------</span>
-<span class="sd">        device : {None, string, SyclDevice, SyclQueue, Device}, optional</span>
+<span class="sd">        device : {None, string, SyclDevice, SyclQueue, Device}</span>
 <span class="sd">            An array API concept of device where the output array is created.</span>
 <span class="sd">            `device` can be ``None``, a oneAPI filter selector string,</span>
 <span class="sd">            an instance of :class:`dpctl.SyclDevice` corresponding to</span>

pull/2928/_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 0.21.0dev1+33.g9c8422ce329 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev2+17.ge19bdef7456 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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pull/2928/_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 0.21.0dev1+33.g9c8422ce329 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev2+17.ge19bdef7456 documentation</title>
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pull/2928/_modules/dpnp/dpnp_iface.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev1+33.g9c8422ce329 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev2+17.ge19bdef7456 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
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-      <script src="../../_static/documentation_options.js?v=672ae725"></script>
+      <script src="../../_static/documentation_options.js?v=55ed6351"></script>
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@@ -541,6 +541,8 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="sd">        and implementing `__sycl_usm_array_interface__` protocol, an instance</span>
 <span class="sd">        of `numpy.ndarray`, an object supporting Python buffer protocol,</span>
 <span class="sd">        a Python scalar, or a (possibly nested) sequence of Python scalars.</span>
+
+<span class="sd">        Default: ``None``.</span>
 <span class="sd">    sycl_queue : {None, class:`dpctl.SyclQueue`}, optional</span>
 <span class="sd">        A queue which explicitly indicates where USM allocation is done</span>
 <span class="sd">        and the population code (if any) is executed.</span>
@@ -592,7 +594,7 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="sd">    ----------</span>
 <span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
 <span class="sd">        Input array.</span>
-<span class="sd">    out : {None, dpnp.ndarray, usm_ndarray}</span>
+<span class="sd">    out : {None, dpnp.ndarray, usm_ndarray}, optional</span>
 <span class="sd">        If provided, value of `a` array will be copied into it</span>
 <span class="sd">        according to ``safe`` casting rule.</span>
 <span class="sd">        It should be of the appropriate shape.</span>