import numpy as np
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import numpy.typing as npt
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i8: np.int64
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AR_b: npt.NDArray[np.bool]
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AR_u1: npt.NDArray[np.uint8]
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AR_i8: npt.NDArray[np.int64]
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AR_f8: npt.NDArray[np.float64]
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AR_M: npt.NDArray[np.datetime64]
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M: np.datetime64
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AR_LIKE_f: list[float]
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def func(a: int) -> None: ...
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np.where(AR_b, 1) # type: ignore[call-overload]
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np.can_cast(AR_f8, 1) # type: ignore[arg-type]
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np.vdot(AR_M, AR_M) # type: ignore[arg-type]
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np.copyto(AR_LIKE_f, AR_f8) # type: ignore[arg-type]
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np.putmask(AR_LIKE_f, [True, True, False], 1.5) # type: ignore[arg-type]
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np.packbits(AR_f8) # type: ignore[arg-type]
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np.packbits(AR_u1, bitorder=">") # type: ignore[arg-type]
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np.unpackbits(AR_i8) # type: ignore[arg-type]
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np.unpackbits(AR_u1, bitorder=">") # type: ignore[arg-type]
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np.shares_memory(1, 1, max_work=i8) # type: ignore[arg-type]
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np.may_share_memory(1, 1, max_work=i8) # type: ignore[arg-type]
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np.arange(stop=10) # type: ignore[call-overload]
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np.datetime_data(int) # type: ignore[arg-type]
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np.busday_offset("2012", 10) # type: ignore[call-overload]
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np.datetime_as_string("2012") # type: ignore[call-overload]
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np.char.compare_chararrays("a", b"a", "==", False) # type: ignore[call-overload]
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np.nested_iters([AR_i8, AR_i8]) # type: ignore[call-arg]
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np.nested_iters([AR_i8, AR_i8], 0) # type: ignore[arg-type]
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np.nested_iters([AR_i8, AR_i8], [0]) # type: ignore[list-item]
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np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["test"]) # type: ignore[list-item]
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np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["test"]]) # type: ignore[list-item]
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np.nested_iters([AR_i8, AR_i8], [[0], [1]], buffersize=1.0) # type: ignore[arg-type]
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