﻿£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyÊ¦•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~èŠ©ÊÇí`ÔÑ©úë™µ'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶ê×Ó¼ãžªéUWŸÈË%DÒÕ¬ï‘]/Åcx  ‰ï2ß]ä6G[]S£ÔÏ¯rs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ                  ¯¹ægƒÛowÐø^d™ý½ßB7áyMä9ÜÖUã
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
<html>
from __future__ import annotations

from ._array_object import Array
from ._dtypes import _integer_dtypes

import numpy as np

def take(x: Array, indices: Array, /, *, axis: int) -> Array:
    """
    Array API compatible wrapper for :py:func:`np.take <numpy.take>`.

    See its docstring for more information.
    """    
    if indices.dtype not in _integer_dtypes:
        raise TypeError("Only integer dtypes are allowed in indexing")
    if indices.ndim != 1: 
        raise ValueError("Only 1-dim indices array is supported")
    return Array._new(np.take(x._array, indices._array, axis=axis))
