Unified public API definitions in dpnp.linalg and dpnp.scipy e92d930

Author: github-actions[bot]

pull/2663/.buildinfo

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pull/2663/_modules/dpnp/dpnp_array.html

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   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.20.0dev0+44.g63cd4cdd118 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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@@ -125,7 +125,8 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="kn">from</span><span class="w"> </span><span class="nn">dpctl.tensor._numpy_helper</span><span class="w"> </span><span class="kn">import</span> <span class="n">AxisError</span>
 
 <span class="kn">import</span><span class="w"> </span><span class="nn">dpnp</span>
-<span class="kn">import</span><span class="w"> </span><span class="nn">dpnp.memory</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">dpm</span>
+
+<span class="kn">from</span><span class="w"> </span><span class="nn">.</span><span class="w"> </span><span class="kn">import</span> <span class="n">memory</span> <span class="k">as</span> <span class="n">dpm</span>
 
 
 <span class="k">def</span><span class="w"> </span><span class="nf">_get_unwrapped_index_key</span><span class="p">(</span><span class="n">key</span><span class="p">):</span>

pull/2663/_modules/dpnp/dpnp_array_api_info.html

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-  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev0+44.g63cd4cdd118 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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pull/2663/_modules/dpnp/dpnp_flatiter.html

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-  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev0+44.g63cd4cdd118 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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pull/2663/_modules/dpnp/dpnp_iface.html

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     </script>
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.20.0dev0+44.g63cd4cdd118 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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@@ -138,9 +138,6 @@ <h1>Source code for dpnp.dpnp_iface</h1><div class="highlight"><pre>
 <span class="kn">import</span><span class="w"> </span><span class="nn">dpnp</span>
 <span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.dpnp_algo</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
 <span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.dpnp_array</span><span class="w"> </span><span class="kn">import</span> <span class="n">dpnp_array</span>
-<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.fft</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
-<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.memory</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
-<span class="kn">from</span><span class="w"> </span><span class="nn">dpnp.random</span><span class="w"> </span><span class="kn">import</span> <span class="o">*</span>
 
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
     <span class="s2">&quot;are_same_logical_tensors&quot;</span><span class="p">,</span>

pull/2663/_modules/dpnp/dpnp_iface_arraycreation.html

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-  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.20.0dev0+44.g63cd4cdd118 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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pull/2663/_modules/dpnp/dpnp_iface_bitwise.html

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+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.20.0dev0+46.ge92d9309432 documentation</title>
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