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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 # E: Need type annotation
- _2 = AR_LIKE_b - AR_b # E: Need type annotation
- AR_i - bytes() # E: No overload variant
- AR_f - AR_LIKE_m # E: Unsupported operand types
- AR_f - AR_LIKE_M # E: Unsupported operand types
- AR_c - AR_LIKE_m # E: Unsupported operand types
- AR_c - AR_LIKE_M # E: Unsupported operand types
- AR_m - AR_LIKE_f # E: Unsupported operand types
- AR_M - AR_LIKE_f # E: Unsupported operand types
- AR_m - AR_LIKE_c # E: Unsupported operand types
- AR_M - AR_LIKE_c # E: Unsupported operand types
- AR_m - AR_LIKE_M # E: Unsupported operand types
- AR_LIKE_m - AR_M # E: Unsupported operand types
- # array floor division
- AR_M // AR_LIKE_b # E: Unsupported operand types
- AR_M // AR_LIKE_u # E: Unsupported operand types
- AR_M // AR_LIKE_i # E: Unsupported operand types
- AR_M // AR_LIKE_f # E: Unsupported operand types
- AR_M // AR_LIKE_c # E: Unsupported operand types
- AR_M // AR_LIKE_m # E: Unsupported operand types
- AR_M // AR_LIKE_M # E: Unsupported operand types
- AR_b // AR_LIKE_M # E: Unsupported operand types
- AR_u // AR_LIKE_M # E: Unsupported operand types
- AR_i // AR_LIKE_M # E: Unsupported operand types
- AR_f // AR_LIKE_M # E: Unsupported operand types
- AR_c // AR_LIKE_M # E: Unsupported operand types
- AR_m // AR_LIKE_M # E: Unsupported operand types
- AR_M // AR_LIKE_M # E: Unsupported operand types
- _3 = AR_m // AR_LIKE_b # E: Need type annotation
- AR_m // AR_LIKE_c # E: Unsupported operand types
- AR_b // AR_LIKE_m # E: Unsupported operand types
- AR_u // AR_LIKE_m # E: Unsupported operand types
- AR_i // AR_LIKE_m # E: Unsupported operand types
- AR_f // AR_LIKE_m # E: Unsupported operand types
- AR_c // AR_LIKE_m # E: Unsupported operand types
- # 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 # E: incompatible type
- AR_b *= AR_LIKE_i # E: incompatible type
- AR_b *= AR_LIKE_f # E: incompatible type
- AR_b *= AR_LIKE_c # E: incompatible type
- AR_b *= AR_LIKE_m # E: incompatible type
- AR_u *= AR_LIKE_i # E: incompatible type
- AR_u *= AR_LIKE_f # E: incompatible type
- AR_u *= AR_LIKE_c # E: incompatible type
- AR_u *= AR_LIKE_m # E: incompatible type
- AR_i *= AR_LIKE_f # E: incompatible type
- AR_i *= AR_LIKE_c # E: incompatible type
- AR_i *= AR_LIKE_m # E: incompatible type
- AR_f *= AR_LIKE_c # E: incompatible type
- AR_f *= AR_LIKE_m # E: incompatible type
- # Array power
- AR_b **= AR_LIKE_b # E: Invalid self argument
- AR_b **= AR_LIKE_u # E: Invalid self argument
- AR_b **= AR_LIKE_i # E: Invalid self argument
- AR_b **= AR_LIKE_f # E: Invalid self argument
- AR_b **= AR_LIKE_c # E: Invalid self argument
- AR_u **= AR_LIKE_i # E: incompatible type
- AR_u **= AR_LIKE_f # E: incompatible type
- AR_u **= AR_LIKE_c # E: incompatible type
- AR_i **= AR_LIKE_f # E: incompatible type
- AR_i **= AR_LIKE_c # E: incompatible type
- AR_f **= AR_LIKE_c # E: incompatible type
- # Scalars
- b_ - b_ # E: No overload variant
- dt + dt # E: Unsupported operand types
- td - dt # E: Unsupported operand types
- td % 1 # E: Unsupported operand types
- td / dt # E: No overload
- td % dt # E: Unsupported operand types
- -b_ # E: Unsupported operand type
- +b_ # E: Unsupported operand type
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