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Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
tests	[ DIR ]	drwxr-xr-x
__init__.py	10.11 KB	-rw-r--r--
_array_object.py	42.71 KB	-rw-r--r--
_constants.py	66 B	-rw-r--r--
_creation_functions.py	9.81 KB	-rw-r--r--
_data_type_functions.py	6.14 KB	-rw-r--r--
_dtypes.py	4.71 KB	-rw-r--r--
_elementwise_functions.py	25.38 KB	-rw-r--r--
_indexing_functions.py	601 B	-rw-r--r--
_manipulation_functions.py	3.24 KB	-rw-r--r--
_searching_functions.py	1.67 KB	-rw-r--r--
_set_functions.py	2.88 KB	-rw-r--r--
_sorting_functions.py	1.98 KB	-rw-r--r--
_statistical_functions.py	3.5 KB	-rw-r--r--
_typing.py	1.2 KB	-rw-r--r--
_utility_functions.py	824 B	-rw-r--r--
linalg.py	17.79 KB	-rw-r--r--
setup.py	341 B	-rw-r--r--

Code Editor : _searching_functions.py

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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Code Editor : _searching_functions.py