\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5×\D6?\BDê\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2€ \00 $\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// from __future__ import annotations from ._array_object import Array from ._data_type_functions import result_type from typing import List, Optional, Tuple, Union import numpy as np # Note: the function name is different here def concat( arrays: Union[Tuple[Array, ...], List[Array]], /, *, axis: Optional[int] = 0 ) -> Array: """ Array API compatible wrapper for :py:func:`np.concatenate `. See its docstring for more information. """ # Note: Casting rules here are different from the np.concatenate default # (no for scalars with axis=None, no cross-kind casting) dtype = result_type(*arrays) arrays = tuple(a._array for a in arrays) return Array._new(np.concatenate(arrays, axis=axis, dtype=dtype)) def expand_dims(x: Array, /, *, axis: int) -> Array: """ Array API compatible wrapper for :py:func:`np.expand_dims `. See its docstring for more information. """ return Array._new(np.expand_dims(x._array, axis)) def flip(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> Array: """ Array API compatible wrapper for :py:func:`np.flip `. See its docstring for more information. """ return Array._new(np.flip(x._array, axis=axis)) # Note: The function name is different here (see also matrix_transpose). # Unlike transpose(), the axes argument is required. def permute_dims(x: Array, /, axes: Tuple[int, ...]) -> Array: """ Array API compatible wrapper for :py:func:`np.transpose