implement dpnp.blackman 1d50889

Author: github-actions[bot]

pull/2363/.buildinfo

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pull/2363/_modules/dpnp/dpnp_array.html

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+  <title>dpnp.dpnp_array &mdash; Data Parallel Extension for NumPy 0.18.0dev0+28.g1d50889fd81 documentation</title>
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pull/2363/_modules/dpnp/dpnp_array_api_info.html

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pull/2363/_modules/dpnp/dpnp_flatiter.html

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pull/2363/_modules/dpnp/dpnp_iface.html

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pull/2363/_modules/dpnp/dpnp_iface_arraycreation.html

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pull/2363/_modules/dpnp/dpnp_iface_bitwise.html

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pull/2363/_modules/dpnp/dpnp_iface_counting.html

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@@ -145,16 +145,19 @@ <h1>Source code for dpnp.dpnp_iface_counting</h1><div class="highlight"><pre>
 <span class="sd">        Axis or tuple of axes along which to count non-zeros.</span>
 <span class="sd">        Default value means that non-zeros will be counted along a flattened</span>
 <span class="sd">        version of `a`.</span>
+
 <span class="sd">        Default: ``None``.</span>
-<span class="sd">    keepdims : bool, optional</span>
+<span class="sd">    keepdims : {None, bool}, optional</span>
 <span class="sd">        If this is set to ``True``, the axes that are counted are left in the</span>
 <span class="sd">        result as dimensions with size one. With this option, the result will</span>
 <span class="sd">        broadcast correctly against the input array.</span>
+
 <span class="sd">        Default: ``False``.</span>
 <span class="sd">    out : {None, dpnp.ndarray, usm_ndarray}, optional</span>
 <span class="sd">        The array into which the result is written. The data type of `out` must</span>
 <span class="sd">        match the expected shape and the expected data type of the result.</span>
 <span class="sd">        If ``None`` then a new array is returned.</span>
+
 <span class="sd">        Default: ``None``.</span>
 
 <span class="sd">    Returns</span>

pull/2363/_modules/dpnp/dpnp_iface_functional.html

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