Viewing file: _searching_functions.py (1.67 KB) -rw-r--r-- Select action/file-type: (+) | (+) | (+) | Code (+) | Session (+) | (+) | SDB (+) | (+) | (+) | (+) | (+) | (+) |
from __future__ import annotations
from ._array_object import Array from ._dtypes import _result_type, _real_numeric_dtypes
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. """ if x.dtype not in _real_numeric_dtypes: raise TypeError("Only real numeric dtypes are allowed in argmax") 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. """ if x.dtype not in _real_numeric_dtypes: raise TypeError("Only real numeric dtypes are allowed in argmin") 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) x1, x2 = Array._normalize_two_args(x1, x2) return Array._new(np.where(condition._array, x1._array, x2._array))
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