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Add support of dpnp.ndindex class (#2157)
* Leverage dpnp.ndindex on numpy class * Remove TODO in the code with dpnp.ndindex * Add tests to dpnp.ndindex * Inherit ndindex from numpy class * Instantiate instance of numpy class * Remove TODO in dpnp/dpnp_iface_functional.py * Add tests for __next__() method ffd3829
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# Sphinx build info version 1
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<span class="sd">&quot;&quot;&quot;</span>
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<span class="kn">import</span> <span class="nn">numpy</span>
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<span class="kn">from</span> <span class="nn">dpctl.tensor._numpy_helper</span> <span class="kn">import</span> <span class="p">(</span>
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<span class="n">normalize_axis_index</span><span class="p">,</span>
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<span class="n">normalize_axis_tuple</span><span class="p">,</span>
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<span class="c1"># compute indices for the iteration axes, and append a trailing ellipsis to</span>
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<span class="c1"># prevent 0d arrays decaying to scalars</span>
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<span class="c1"># TODO: replace with dpnp.ndindex</span>
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<span class="n">inds</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">ndindex</span><span class="p">(</span><span class="n">inarr_view</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
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<span class="n">inds</span> <span class="o">=</span> <span class="n">dpnp</span><span class="o">.</span><span class="n">ndindex</span><span class="p">(</span><span class="n">inarr_view</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
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<span class="n">inds</span> <span class="o">=</span> <span class="p">(</span><span class="n">ind</span> <span class="o">+</span> <span class="p">(</span><span class="bp">Ellipsis</span><span class="p">,)</span> <span class="k">for</span> <span class="n">ind</span> <span class="ow">in</span> <span class="n">inds</span><span class="p">)</span>
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<span class="c1"># invoke the function on the first item</span>

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<span class="s2">&quot;indices&quot;</span><span class="p">,</span>
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<span class="c1"># pylint: disable=invalid-name</span>
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<span class="c1"># pylint: disable=too-few-public-methods</span>
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<div class="viewcode-block" id="ndindex">
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<a class="viewcode-back" href="../../reference/generated/dpnp.ndindex.html#dpnp.ndindex">[docs]</a>
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<span class="k">class</span> <span class="nc">ndindex</span><span class="p">:</span>
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<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
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<span class="sd"> An N-dimensional iterator object to index arrays.</span>
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<span class="sd"> Given the shape of an array, an :obj:`dpnp.ndindex` instance iterates over</span>
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<span class="sd"> the N-dimensional index of the array. At each iteration a tuple of indices</span>
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<span class="sd"> is returned, the last dimension is iterated over first.</span>
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<span class="sd"> For full documentation refer to :obj:`numpy.ndindex`.</span>
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<span class="sd"> Parameters</span>
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<span class="sd"> ----------</span>
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<span class="sd"> shape : ints, or a single tuple of ints</span>
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<span class="sd"> The size of each dimension of the array can be passed as individual</span>
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<span class="sd"> parameters or as the elements of a tuple.</span>
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<span class="sd"> See Also</span>
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<span class="sd"> --------</span>
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<span class="sd"> :obj:`dpnp.ndenumerate` : Multidimensional index iterator.</span>
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<span class="sd"> :obj:`dpnp.flatiter` : Flat iterator object to iterate over arrays.</span>
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<span class="sd"> Examples</span>
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<span class="sd"> --------</span>
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<span class="sd"> &gt;&gt;&gt; import dpnp as np</span>
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<span class="sd"> (0, 0, 0)</span>
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<span class="sd"> (0, 1, 0)</span>
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<span class="sd"> (1, 0, 0)</span>
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<span class="sd"> (1, 1, 0)</span>
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<span class="sd"> (2, 0, 0)</span>
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<span class="sd"> (2, 1, 0)</span>
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<span class="sd"> Same dimensions - but in a tuple ``(3, 2, 1)``</span>
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<span class="sd"> &gt;&gt;&gt; for index in np.ndindex((3, 2, 1)):</span>
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<span class="sd"> ... print(index)</span>
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<span class="sd"> (0, 0, 0)</span>
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<span class="sd"> (0, 1, 0)</span>
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<span class="sd"> (1, 0, 0)</span>
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<span class="sd"> (1, 1, 0)</span>
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<span class="sd"> (2, 0, 0)</span>
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<span class="sd"> (2, 1, 0)</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">shape</span><span class="p">):</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">ndindex_</span>
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<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
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<span class="sd"> Standard iterator method, updates the index and returns the index tuple.</span>
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<span class="sd"> Returns</span>
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<span class="sd"> -------</span>
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<span class="sd"> val : tuple of ints</span>
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<span class="sd"> Returns a tuple containing the indices of the current iteration.</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="k">def</span> <span class="nf">nonzero</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>

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