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author | czgdp1807 <gdp.1807@gmail.com> | 2021-09-03 12:17:26 +0530 |
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committer | czgdp1807 <gdp.1807@gmail.com> | 2021-09-03 12:17:26 +0530 |
commit | 781d0a7ac61ce007e65abcd4e30f2181e729ae61 (patch) | |
tree | f45f38a246bcefbca9ca8a08bd8ba55cbc6cdb15 /numpy/array_api/_searching_functions.py | |
parent | b341e4c3249817d2e14ddf71aa850a8a896b9303 (diff) | |
parent | 2ae1e068710174dc57b5ba5ad688517608efcf26 (diff) | |
download | numpy-781d0a7ac61ce007e65abcd4e30f2181e729ae61.tar.gz |
resolved conflicts
Diffstat (limited to 'numpy/array_api/_searching_functions.py')
-rw-r--r-- | numpy/array_api/_searching_functions.py | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/numpy/array_api/_searching_functions.py b/numpy/array_api/_searching_functions.py new file mode 100644 index 000000000..3dcef61c3 --- /dev/null +++ b/numpy/array_api/_searching_functions.py @@ -0,0 +1,46 @@ +from __future__ import annotations + +from ._array_object import Array +from ._dtypes import _result_type + +from typing import Optional, Tuple + +import numpy as np + + +def argmax(x: Array, /, *, axis: Optional[int] = None, keepdims: bool = False) -> Array: + """ + Array API compatible wrapper for :py:func:`np.argmax <numpy.argmax>`. + + See its docstring for more information. + """ + return Array._new(np.asarray(np.argmax(x._array, axis=axis, keepdims=keepdims))) + + +def argmin(x: Array, /, *, axis: Optional[int] = None, keepdims: bool = False) -> Array: + """ + Array API compatible wrapper for :py:func:`np.argmin <numpy.argmin>`. + + See its docstring for more information. + """ + return Array._new(np.asarray(np.argmin(x._array, axis=axis, keepdims=keepdims))) + + +def nonzero(x: Array, /) -> Tuple[Array, ...]: + """ + Array API compatible wrapper for :py:func:`np.nonzero <numpy.nonzero>`. + + See its docstring for more information. + """ + return tuple(Array._new(i) for i in np.nonzero(x._array)) + + +def where(condition: Array, x1: Array, x2: Array, /) -> Array: + """ + Array API compatible wrapper for :py:func:`np.where <numpy.where>`. + + See its docstring for more information. + """ + # Call result type here just to raise on disallowed type combinations + _result_type(x1.dtype, x2.dtype) + return Array._new(np.where(condition._array, x1._array, x2._array)) |