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from __future__ import annotations
from ._array_object import ndarray
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from ._types import Tuple, Union, Array
import numpy as np
def unique(x: Array, /, *, return_counts: bool = False, return_index: bool = False, return_inverse: bool = False) -> Union[Array, Tuple[Array, ...]]:
"""
Array API compatible wrapper for :py:func:`np.unique <numpy.unique>`.
See its docstring for more information.
"""
return ndarray._new(np.unique(x._array, return_counts=return_counts, return_index=return_index, return_inverse=return_inverse))
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