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from typing import Any
import numpy as np
import numpy.typing as npt
b_ = np.bool()
dt = np.datetime64(0, "D")
td = np.timedelta64(0, "D")
AR_b: npt.NDArray[np.bool]
AR_u: npt.NDArray[np.uint32]
AR_i: npt.NDArray[np.int64]
AR_f: npt.NDArray[np.longdouble]
AR_c: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_M: npt.NDArray[np.datetime64]
ANY: Any
AR_LIKE_b: list[bool]
AR_LIKE_u: list[np.uint32]
AR_LIKE_i: list[int]
AR_LIKE_f: list[float]
AR_LIKE_c: list[complex]
AR_LIKE_m: list[np.timedelta64]
AR_LIKE_M: list[np.datetime64]
# Array subtraction
# NOTE: mypys `NoReturn` errors are, unfortunately, not that great
_1 = AR_b - AR_LIKE_b # type: ignore[var-annotated]
_2 = AR_LIKE_b - AR_b # type: ignore[var-annotated]
AR_i - bytes() # type: ignore[operator]
AR_f - AR_LIKE_m # type: ignore[operator]
AR_f - AR_LIKE_M # type: ignore[operator]
AR_c - AR_LIKE_m # type: ignore[operator]
AR_c - AR_LIKE_M # type: ignore[operator]
AR_m - AR_LIKE_f # type: ignore[operator]
AR_M - AR_LIKE_f # type: ignore[operator]
AR_m - AR_LIKE_c # type: ignore[operator]
AR_M - AR_LIKE_c # type: ignore[operator]
AR_m - AR_LIKE_M # type: ignore[operator]
AR_LIKE_m - AR_M # type: ignore[operator]
# array floor division
AR_M // AR_LIKE_b # type: ignore[operator]
AR_M // AR_LIKE_u # type: ignore[operator]
AR_M // AR_LIKE_i # type: ignore[operator]
AR_M // AR_LIKE_f # type: ignore[operator]
AR_M // AR_LIKE_c # type: ignore[operator]
AR_M // AR_LIKE_m # type: ignore[operator]
AR_M // AR_LIKE_M # type: ignore[operator]
AR_b // AR_LIKE_M # type: ignore[operator]
AR_u // AR_LIKE_M # type: ignore[operator]
AR_i // AR_LIKE_M # type: ignore[operator]
AR_f // AR_LIKE_M # type: ignore[operator]
AR_c // AR_LIKE_M # type: ignore[operator]
AR_m // AR_LIKE_M # type: ignore[operator]
AR_M // AR_LIKE_M # type: ignore[operator]
_3 = AR_m // AR_LIKE_b # type: ignore[var-annotated]
AR_m // AR_LIKE_c # type: ignore[operator]
AR_b // AR_LIKE_m # type: ignore[operator]
AR_u // AR_LIKE_m # type: ignore[operator]
AR_i // AR_LIKE_m # type: ignore[operator]
AR_f // AR_LIKE_m # type: ignore[operator]
AR_c // AR_LIKE_m # type: ignore[operator]
# regression tests for https://github.com/numpy/numpy/issues/28957
AR_c // 2 # type: ignore[operator]
AR_c // AR_i # type: ignore[operator]
AR_c // AR_c # type: ignore[operator]
# Array multiplication
AR_b *= AR_LIKE_u # type: ignore[arg-type]
AR_b *= AR_LIKE_i # type: ignore[arg-type]
AR_b *= AR_LIKE_f # type: ignore[arg-type]
AR_b *= AR_LIKE_c # type: ignore[arg-type]
AR_b *= AR_LIKE_m # type: ignore[arg-type]
AR_u *= AR_LIKE_f # type: ignore[arg-type]
AR_u *= AR_LIKE_c # type: ignore[arg-type]
AR_u *= AR_LIKE_m # type: ignore[arg-type]
AR_i *= AR_LIKE_f # type: ignore[arg-type]
AR_i *= AR_LIKE_c # type: ignore[arg-type]
AR_i *= AR_LIKE_m # type: ignore[arg-type]
AR_f *= AR_LIKE_c # type: ignore[arg-type]
AR_f *= AR_LIKE_m # type: ignore[arg-type]
# Array power
AR_b **= AR_LIKE_b # type: ignore[misc]
AR_b **= AR_LIKE_u # type: ignore[misc]
AR_b **= AR_LIKE_i # type: ignore[misc]
AR_b **= AR_LIKE_f # type: ignore[misc]
AR_b **= AR_LIKE_c # type: ignore[misc]
AR_u **= AR_LIKE_f # type: ignore[arg-type]
AR_u **= AR_LIKE_c # type: ignore[arg-type]
AR_i **= AR_LIKE_f # type: ignore[arg-type]
AR_i **= AR_LIKE_c # type: ignore[arg-type]
AR_f **= AR_LIKE_c # type: ignore[arg-type]
# Scalars
b_ - b_ # type: ignore[call-overload]
dt + dt # type: ignore[operator]
td - dt # type: ignore[operator]
td % 1 # type: ignore[operator]
td / dt # type: ignore[operator]
td % dt # type: ignore[operator]
-b_ # type: ignore[operator]
+b_ # type: ignore[operator]
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