From 6e57d829cb6628610e163524f203245b247a2839 Mon Sep 17 00:00:00 2001 From: Aaron Meurer Date: Wed, 4 Aug 2021 16:47:05 -0600 Subject: Rename numpy._array_api to numpy.array_api Instead of the leading underscore, the experimentalness of the module will be indicated by omitting a warning on import. That we, we do not have to change the API from underscore to no underscore when the module is no longer experimental. --- numpy/array_api/_statistical_functions.py | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 numpy/array_api/_statistical_functions.py (limited to 'numpy/array_api/_statistical_functions.py') diff --git a/numpy/array_api/_statistical_functions.py b/numpy/array_api/_statistical_functions.py new file mode 100644 index 000000000..61fc60c46 --- /dev/null +++ b/numpy/array_api/_statistical_functions.py @@ -0,0 +1,30 @@ +from __future__ import annotations + +from ._array_object import Array + +from typing import Optional, Tuple, Union + +import numpy as np + +def max(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: + return Array._new(np.max(x._array, axis=axis, keepdims=keepdims)) + +def mean(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: + return Array._new(np.asarray(np.mean(x._array, axis=axis, keepdims=keepdims))) + +def min(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: + return Array._new(np.min(x._array, axis=axis, keepdims=keepdims)) + +def prod(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: + return Array._new(np.asarray(np.prod(x._array, axis=axis, keepdims=keepdims))) + +def std(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, correction: Union[int, float] = 0.0, keepdims: bool = False) -> Array: + # Note: the keyword argument correction is different here + return Array._new(np.asarray(np.std(x._array, axis=axis, ddof=correction, keepdims=keepdims))) + +def sum(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: + return Array._new(np.asarray(np.sum(x._array, axis=axis, keepdims=keepdims))) + +def var(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, correction: Union[int, float] = 0.0, keepdims: bool = False) -> Array: + # Note: the keyword argument correction is different here + return Array._new(np.asarray(np.var(x._array, axis=axis, ddof=correction, keepdims=keepdims))) -- cgit v1.2.1