| 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. |
| """ |
| |
| _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)) |
|
|
