Add tests folder to dpnp conda package 25fb080

pull/2116/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3ff3c039482bd6bad620d6dee14c2675
+config: 80b883dc4fbd5cfbb90235ded7c95d88
 tags: 645f666f9bcd5a90fca523b33c5a78b7

pull/2116/_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 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=8f2594aa"></script>
+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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@@ -1098,13 +1098,16 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Fill the array with a scalar value.</span>
 
+<span class="sd">        For full documentation refer to :obj:`numpy.ndarray.fill`.</span>
+
 <span class="sd">        Parameters</span>
 <span class="sd">        ----------</span>
-<span class="sd">        value : scalar</span>
+<span class="sd">        value : {dpnp.ndarray, usm_ndarray, scalar}</span>
 <span class="sd">            All elements of `a` will be assigned this value.</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])</span>
 <span class="sd">        &gt;&gt;&gt; a.fill(0)</span>
 <span class="sd">        &gt;&gt;&gt; a</span>
@@ -1116,8 +1119,10 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="sd">        &quot;&quot;&quot;</span>
 
-        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">size</span><span class="p">):</span>
-            <span class="bp">self</span><span class="o">.</span><span class="n">flat</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span></div>
+        <span class="c1"># lazy import avoids circular imports</span>
+        <span class="kn">from</span> <span class="nn">.dpnp_algo.dpnp_fill</span> <span class="kn">import</span> <span class="n">dpnp_fill</span>
+
+        <span class="n">dpnp_fill</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span></div>
 
 
     <span class="nd">@property</span>

pull/2116/_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 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=8f2594aa"></script>
+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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pull/2116/_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 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=7ab3649f" />
 
 
       <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=8f2594aa"></script>
+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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@@ -146,7 +146,6 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
     <span class="s2">&quot;as_usm_ndarray&quot;</span><span class="p">,</span>
     <span class="s2">&quot;check_limitations&quot;</span><span class="p">,</span>
     <span class="s2">&quot;check_supported_arrays_type&quot;</span><span class="p">,</span>
-    <span class="s2">&quot;convert_single_elem_array_to_scalar&quot;</span><span class="p">,</span>
     <span class="s2">&quot;default_float_type&quot;</span><span class="p">,</span>
     <span class="s2">&quot;from_dlpack&quot;</span><span class="p">,</span>
     <span class="s2">&quot;get_dpnp_descriptor&quot;</span><span class="p">,</span>
@@ -498,15 +497,6 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="kc">True</span>
 
 
-<span class="k">def</span> <span class="nf">convert_single_elem_array_to_scalar</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
-<span class="w">    </span><span class="sd">&quot;&quot;&quot;Convert array with single element to scalar.&quot;&quot;&quot;</span>
-
-    <span class="k">if</span> <span class="p">(</span><span class="n">obj</span><span class="o">.</span><span class="n">ndim</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">obj</span><span class="o">.</span><span class="n">size</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">keepdims</span> <span class="ow">is</span> <span class="kc">False</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">obj</span><span class="o">.</span><span class="n">dtype</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">obj</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
-
-    <span class="k">return</span> <span class="n">obj</span>
-
-
 <span class="k">def</span> <span class="nf">default_float_type</span><span class="p">(</span><span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">sycl_queue</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 a floating type used by default in DPNP depending on device</span>

pull/2116/_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 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
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+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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pull/2116/_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 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
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+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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pull/2116/_modules/dpnp/dpnp_iface_histograms.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
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       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=8f2594aa"></script>
+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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pull/2116/_modules/dpnp/dpnp_iface_indexing.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_indexing &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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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=86335db5"></script>
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pull/2116/_modules/dpnp/dpnp_iface_libmath.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_libmath &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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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=86335db5"></script>
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pull/2116/_modules/dpnp/dpnp_iface_linearalgebra.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_linearalgebra &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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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=86335db5"></script>
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pull/2116/_modules/dpnp/dpnp_iface_logic.html

@@ -14,14 +14,14 @@
     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface_logic &mdash; Data Parallel Extension for NumPy 0.17.0dev0+69.gd22f8d5af09 documentation</title>
+  <title>dpnp.dpnp_iface_logic &mdash; Data Parallel Extension for NumPy 0.17.0dev0+83.g25fb080b039 documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=fa44fd50" />
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       <script src="../../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
-      <script src="../../_static/documentation_options.js?v=8f2594aa"></script>
+      <script src="../../_static/documentation_options.js?v=86335db5"></script>
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@@ -149,6 +149,7 @@ <h1>Source code for dpnp.dpnp_iface_logic</h1><div class="highlight"><pre>
     <span class="s2">&quot;iscomplex&quot;</span><span class="p">,</span>
     <span class="s2">&quot;iscomplexobj&quot;</span><span class="p">,</span>
     <span class="s2">&quot;isfinite&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;isfortran&quot;</span><span class="p">,</span>
     <span class="s2">&quot;isinf&quot;</span><span class="p">,</span>
     <span class="s2">&quot;isnan&quot;</span><span class="p">,</span>
     <span class="s2">&quot;isneginf&quot;</span><span class="p">,</span>
@@ -1100,6 +1101,79 @@ <h1>Source code for dpnp.dpnp_iface_logic</h1><div class="highlight"><pre>
 <span class="p">)</span>
 
 
+<div class="viewcode-block" id="isfortran">
+<a class="viewcode-back" href="../../reference/generated/dpnp.isfortran.html#dpnp.isfortran">[docs]</a>
+<span class="k">def</span> <span class="nf">isfortran</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Check if the array is Fortran contiguous but *not* C contiguous.</span>
+
+<span class="sd">    This function is obsolete. If you only want to check if an array is Fortran</span>
+<span class="sd">    contiguous use ``a.flags.f_contiguous`` instead.</span>
+
+<span class="sd">    For full documentation refer to :obj:`numpy.isfortran`.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    a : {dpnp.ndarray, usm_ndarray}</span>
+<span class="sd">        Input array.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    isfortran : bool</span>
+<span class="sd">        Returns ``True`` if the array is Fortran contiguous</span>
+<span class="sd">        but *not* C contiguous.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    :obj:`dpnp.array` allows to specify whether the array is written in</span>
+<span class="sd">    C-contiguous order (last index varies the fastest), or FORTRAN-contiguous</span>
+<span class="sd">    order in memory (first index varies the fastest).</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, 5, 6]], order=&#39;C&#39;)</span>
+<span class="sd">    &gt;&gt;&gt; a</span>
+<span class="sd">    array([[1, 2, 3],</span>
+<span class="sd">           [4, 5, 6]])</span>
+<span class="sd">    &gt;&gt;&gt; np.isfortran(a)</span>
+<span class="sd">    False</span>
+
+<span class="sd">    &gt;&gt;&gt; b = np.array([[1, 2, 3], [4, 5, 6]], order=&#39;F&#39;)</span>
+<span class="sd">    &gt;&gt;&gt; b</span>
+<span class="sd">    array([[1, 2, 3],</span>
+<span class="sd">           [4, 5, 6]])</span>
+<span class="sd">    &gt;&gt;&gt; np.isfortran(b)</span>
+<span class="sd">    True</span>
+
+<span class="sd">    The transpose of a C-ordered array is a FORTRAN-ordered array.</span>
+
+<span class="sd">    &gt;&gt;&gt; a = np.array([[1, 2, 3], [4, 5, 6]], order=&#39;C&#39;)</span>
+<span class="sd">    &gt;&gt;&gt; a</span>
+<span class="sd">    array([[1, 2, 3],</span>
+<span class="sd">           [4, 5, 6]])</span>
+<span class="sd">    &gt;&gt;&gt; np.isfortran(a)</span>
+<span class="sd">    False</span>
+<span class="sd">    &gt;&gt;&gt; b = a.T</span>
+<span class="sd">    &gt;&gt;&gt; b</span>
+<span class="sd">    array([[1, 4],</span>
+<span class="sd">           [2, 5],</span>
+<span class="sd">           [3, 6]])</span>
+<span class="sd">    &gt;&gt;&gt; np.isfortran(b)</span>
+<span class="sd">    True</span>
+
+<span class="sd">    C-ordered arrays evaluate as ``False`` even if they are also</span>
+<span class="sd">    FORTRAN-ordered.</span>
+
+<span class="sd">    &gt;&gt;&gt; np.isfortran(np.array([1, 2], order=&#39;F&#39;))</span>
+<span class="sd">    False</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">dpnp</span><span class="o">.</span><span class="n">check_supported_arrays_type</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">flags</span><span class="o">.</span><span class="n">fnc</span></div>
+
+
+
 <span class="n">_ISINF_DOCSTRING</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
 <span class="s2">Test if each element of input array is an infinity.</span>