Temporary disable test_minimum_nan for float16 (#2900)

This PR adds skip for known IGC driver issue to unblock the internal CI
until the driver releases the fix. 35010ee

Author: github-actions[bot]

.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: bd198d81e49bc159501420997b3a891c
+config: 09f09d1eee84c06d4b94d887671f6061
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_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 0.21.0dev0 documentation</title>
+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>
@@ -124,6 +124,8 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 
 <span class="kn">import</span><span class="w"> </span><span class="nn">warnings</span>
 
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</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.tensor</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">dpt</span>
 <span class="kn">import</span><span class="w"> </span><span class="nn">dpnp.tensor._type_utils</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">dtu</span>
@@ -132,24 +134,45 @@ <h1>Source code for dpnp.dpnp_array</h1><div class="highlight"><pre>
 <span class="kn">from</span><span class="w"> </span><span class="nn">.exceptions</span><span class="w"> </span><span class="kn">import</span> <span class="n">AxisError</span>
 
 
+<span class="k">def</span><span class="w"> </span><span class="nf">_unwrap_index_element</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Unwrap a single index element for the tensor indexing layer.</span>
+
+<span class="sd">    Converts dpnp arrays to usm_ndarray and array-like objects (range, list)</span>
+<span class="sd">    to numpy arrays with intp dtype for NumPy-compatible advanced indexing.</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">dpt</span><span class="o">.</span><span class="n">usm_ndarray</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">x</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">dpnp_array</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">x</span><span class="o">.</span><span class="n">get_array</span><span class="p">()</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="nb">range</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">numpy</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">numpy</span><span class="o">.</span><span class="n">intp</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+        <span class="c1"># keep boolean lists as boolean</span>
+        <span class="n">arr</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
+        <span class="c1"># cast empty lists (float64 in NumPy) to intp</span>
+        <span class="c1"># for correct tensor indexing</span>
+        <span class="k">if</span> <span class="n">arr</span><span class="o">.</span><span class="n">size</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">arr</span> <span class="o">=</span> <span class="n">arr</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">intp</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">arr</span>
+    <span class="k">return</span> <span class="n">x</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>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Get an unwrapped index key.</span>
 
 <span class="sd">    Return a key where each nested instance of DPNP array is unwrapped into</span>
-<span class="sd">    USM ndarray for further processing in DPCTL advanced indexing functions.</span>
+<span class="sd">    USM ndarray, and array-like objects (range, list) are converted to numpy</span>
+<span class="sd">    arrays for further processing in advanced indexing functions.</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
 
     <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
-        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">dpnp_array</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">key</span><span class="p">):</span>
-            <span class="c1"># create a new tuple from the input key with unwrapped DPNP arrays</span>
-            <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span>
-                <span class="n">x</span><span class="o">.</span><span class="n">get_array</span><span class="p">()</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">dpnp_array</span><span class="p">)</span> <span class="k">else</span> <span class="n">x</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">key</span>
-            <span class="p">)</span>
-    <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">dpnp_array</span><span class="p">):</span>
-        <span class="k">return</span> <span class="n">key</span><span class="o">.</span><span class="n">get_array</span><span class="p">()</span>
-    <span class="k">return</span> <span class="n">key</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">_unwrap_index_element</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">key</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">_unwrap_index_element</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
 
 
 <span class="c1"># pylint: disable=too-many-public-methods</span>

_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 0.21.0dev0 documentation</title>
+  <title>dpnp.dpnp_array_api_info &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_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 0.21.0dev0 documentation</title>
+  <title>dpnp.dpnp_flatiter &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_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 0.21.0dev0 documentation</title>
+  <title>dpnp.dpnp_iface &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_modules/dpnp/dpnp_iface_arraycreation.html

@@ -14,14 +14,14 @@
     </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 documentation</title>
+  <title>dpnp.dpnp_iface_arraycreation &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_modules/dpnp/dpnp_iface_bitwise.html

@@ -14,14 +14,14 @@
     </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 documentation</title>
+  <title>dpnp.dpnp_iface_bitwise &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_modules/dpnp/dpnp_iface_counting.html

@@ -14,14 +14,14 @@
     </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 documentation</title>
+  <title>dpnp.dpnp_iface_counting &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_modules/dpnp/dpnp_iface_functional.html

@@ -14,14 +14,14 @@
     </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 documentation</title>
+  <title>dpnp.dpnp_iface_functional &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=03e43079" />
       <link rel="stylesheet" type="text/css" href="../../_static/css/theme.css?v=9edc463e" />
 
 
       <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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
       <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/js/theme.js"></script>

_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 documentation</title>
+  <title>dpnp.dpnp_iface_histograms &mdash; Data Parallel Extension for NumPy 0.21.0dev0+10.g35010ee5cbf 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=9aecbb74"></script>
+      <script src="../../_static/documentation_options.js?v=72aef6b8"></script>
       <script src="../../_static/doctools.js?v=9bcbadda"></script>
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