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

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Dec 20, 2023
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implement dpnp.nanargmax, dpnp.nanargmin, dpnp.nanmax, and dpnp.nanmin #1646

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b4258f6
implement nanargmax, nanargmin, nanmax, nanmin
vtavana Nov 23, 2023
f3a5c25
address comments
vtavana Dec 19, 2023
21e8eab
suppress overflow warning
vtavana Dec 20, 2023
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12 changes: 8 additions & 4 deletions dpnp/dpnp_iface_mathematical.py
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Original file line number Diff line number Diff line change
Expand Up @@ -133,8 +133,8 @@ def _append_to_diff_array(a, axis, combined, values):

Scalar value (including case with 0d array) is expanded to an array
with length=1 in the direction of axis and the shape of the input array `a`
in along all other axes.
Note, if `values` is a scalar. then it is converted to 0d array allocating
along all other axes.
Note, if `values` is a scalar, then it is converted to 0d array allocating
on the same SYCL queue as the input array `a` and with the same USM type.

"""
Expand Down Expand Up @@ -1132,7 +1132,9 @@ def fmax(x1, x2, /, out=None, *, where=True, dtype=None, subok=True, **kwargs):
See Also
--------
:obj:`dpnp.maximum` : Element-wise maximum of array elements, propagates NaNs.
:obj:`dpnp.fmin` : Element-wise minimum of array elements, ignore NaNs.
:obj:`dpnp.fmin` : Element-wise minimum of array elements, ignores NaNs.
:obj:`dpnp.max` : The maximum value of an array along a given axis, propagates NaNs..
:obj:`dpnp.nanmax` : The maximum value of an array along a given axis, ignores NaNs.
:obj:`dpnp.minimum` : Element-wise minimum of array elements, propagates NaNs.
:obj:`dpnp.fmod` : Calculate the element-wise remainder of division.

Expand Down Expand Up @@ -1237,7 +1239,9 @@ def fmin(x1, x2, /, out=None, *, where=True, dtype=None, subok=True, **kwargs):
See Also
--------
:obj:`dpnp.minimum` : Element-wise minimum of array elements, propagates NaNs.
:obj:`dpnp.fmax` : Element-wise maximum of array elements, ignore NaNs.
:obj:`dpnp.fmax` : Element-wise maximum of array elements, ignores NaNs.
:obj:`dpnp.min` : The minimum value of an array along a given axis, propagates NaNs.
:obj:`dpnp.nanmin` : The minimum value of an array along a given axis, ignores NaNs.
:obj:`dpnp.maximum` : Element-wise maximum of array elements, propagates NaNs.
:obj:`dpnp.fmod` : Calculate the element-wise remainder of division.

Expand Down
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