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import numpy as np
import numpy.typing as npt
i8: np.int64
AR_b: npt.NDArray[np.bool_]
AR_u1: npt.NDArray[np.uint8]
AR_i8: npt.NDArray[np.int64]
AR_f8: npt.NDArray[np.float64]
AR_M: npt.NDArray[np.datetime64]
M: np.datetime64
AR_LIKE_f: list[float]
def func(a: int) -> None: ...
np.where(AR_b, 1) # E: No overload variant
np.can_cast(AR_f8, 1) # E: incompatible type
np.vdot(AR_M, AR_M) # E: incompatible type
np.copyto(AR_LIKE_f, AR_f8) # E: incompatible type
np.putmask(AR_LIKE_f, [True, True, False], 1.5) # E: incompatible type
np.packbits(AR_f8) # E: incompatible type
np.packbits(AR_u1, bitorder=">") # E: incompatible type
np.unpackbits(AR_i8) # E: incompatible type
np.unpackbits(AR_u1, bitorder=">") # E: incompatible type
np.shares_memory(1, 1, max_work=i8) # E: incompatible type
np.may_share_memory(1, 1, max_work=i8) # E: incompatible type
np.arange(M) # E: No overload variant
np.arange(stop=10) # E: No overload variant
np.datetime_data(int) # E: incompatible type
np.busday_offset("2012", 10) # E: No overload variant
np.datetime_as_string("2012") # E: No overload variant
np.compare_chararrays("a", b"a", "==", False) # E: No overload variant
np.add_docstring(func, None) # E: incompatible type
np.nested_iters([AR_i8, AR_i8]) # E: Missing positional argument
np.nested_iters([AR_i8, AR_i8], 0) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [0]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["test"]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["test"]]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], buffersize=1.0) # E: incompatible type