implement dpnp.nanargmax, dpnp.nanargmin, dpnp.nanmax, and dpnp.nanmin (#1646)

* implement nanargmax, nanargmin, nanmax, nanmin

* address comments

* suppress overflow warning 680d903

Author: github-actions[bot]

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@@ -223,8 +223,8 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 
 <span class="sd">    Scalar value (including case with 0d array) is expanded to an array</span>
 <span class="sd">    with length=1 in the direction of axis and the shape of the input array `a`</span>
-<span class="sd">    in along all other axes.</span>
-<span class="sd">    Note, if `values` is a scalar. then it is converted to 0d array allocating</span>
+<span class="sd">    along all other axes.</span>
+<span class="sd">    Note, if `values` is a scalar, then it is converted to 0d array allocating</span>
 <span class="sd">    on the same SYCL queue as the input array `a` and with the same USM type.</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -1275,7 +1275,9 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 <span class="sd">    See Also</span>
 <span class="sd">    --------</span>
 <span class="sd">    :obj:`dpnp.maximum` : Element-wise maximum of array elements, propagates NaNs.</span>
-<span class="sd">    :obj:`dpnp.fmin` : Element-wise minimum of array elements, ignore NaNs.</span>
+<span class="sd">    :obj:`dpnp.fmin` : Element-wise minimum of array elements, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.max` : The maximum value of an array along a given axis, propagates NaNs..</span>
+<span class="sd">    :obj:`dpnp.nanmax` : The maximum value of an array along a given axis, ignores NaNs.</span>
 <span class="sd">    :obj:`dpnp.minimum` : Element-wise minimum of array elements, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.fmod` : Calculate the element-wise remainder of division.</span>
 
@@ -1383,7 +1385,9 @@ <h1>Source code for dpnp.dpnp_iface_mathematical</h1><div class="highlight"><pre
 <span class="sd">    See Also</span>
 <span class="sd">    --------</span>
 <span class="sd">    :obj:`dpnp.minimum` : Element-wise minimum of array elements, propagates NaNs.</span>
-<span class="sd">    :obj:`dpnp.fmax` : Element-wise maximum of array elements, ignore NaNs.</span>
+<span class="sd">    :obj:`dpnp.fmax` : Element-wise maximum of array elements, ignores NaNs.</span>
+<span class="sd">    :obj:`dpnp.min` : The minimum value of an array along a given axis, propagates NaNs.</span>
+<span class="sd">    :obj:`dpnp.nanmin` : The minimum value of an array along a given axis, ignores NaNs.</span>
 <span class="sd">    :obj:`dpnp.maximum` : Element-wise maximum of array elements, propagates NaNs.</span>
 <span class="sd">    :obj:`dpnp.fmod` : Calculate the element-wise remainder of division.</span>