from typing import Any, TypeVar, assert_type import numpy as np import numpy.typing as npt _ScalarT = TypeVar("_ScalarT", bound=np.generic) def func1(ar: npt.NDArray[_ScalarT], a: int) -> npt.NDArray[_ScalarT]: ... def func2(ar: npt.NDArray[np.number], a: str) -> npt.NDArray[np.float64]: ... AR_b: npt.NDArray[np.bool] AR_u: npt.NDArray[np.uint64] AR_i: npt.NDArray[np.int64] AR_f: npt.NDArray[np.float64] AR_c: npt.NDArray[np.complex128] AR_O: npt.NDArray[np.object_] AR_LIKE_b: list[bool] AR_LIKE_c: list[complex] assert_type(np.fliplr(AR_b), npt.NDArray[np.bool]) assert_type(np.fliplr(AR_LIKE_b), npt.NDArray[Any]) assert_type(np.flipud(AR_b), npt.NDArray[np.bool]) assert_type(np.flipud(AR_LIKE_b), npt.NDArray[Any]) assert_type(np.eye(10), npt.NDArray[np.float64]) assert_type(np.eye(10, M=20, dtype=np.int64), npt.NDArray[np.int64]) assert_type(np.eye(10, k=2, dtype=int), npt.NDArray[Any]) assert_type(np.diag(AR_b), npt.NDArray[np.bool]) assert_type(np.diag(AR_LIKE_b, k=0), npt.NDArray[Any]) assert_type(np.diagflat(AR_b), npt.NDArray[np.bool]) assert_type(np.diagflat(AR_LIKE_b, k=0), npt.NDArray[Any]) assert_type(np.tri(10), npt.NDArray[np.float64]) assert_type(np.tri(10, M=20, dtype=np.int64), npt.NDArray[np.int64]) assert_type(np.tri(10, k=2, dtype=int), npt.NDArray[Any]) assert_type(np.tril(AR_b), npt.NDArray[np.bool]) assert_type(np.tril(AR_LIKE_b, k=0), npt.NDArray[Any]) assert_type(np.triu(AR_b), npt.NDArray[np.bool]) assert_type(np.triu(AR_LIKE_b, k=0), npt.NDArray[Any]) assert_type(np.vander(AR_b), npt.NDArray[np.signedinteger]) assert_type(np.vander(AR_u), npt.NDArray[np.signedinteger]) assert_type(np.vander(AR_i, N=2), npt.NDArray[np.signedinteger]) assert_type(np.vander(AR_f, increasing=True), npt.NDArray[np.floating]) assert_type(np.vander(AR_c), npt.NDArray[np.complexfloating]) assert_type(np.vander(AR_O), npt.NDArray[np.object_]) assert_type( np.histogram2d(AR_LIKE_c, AR_LIKE_c), tuple[ npt.NDArray[np.float64], npt.NDArray[np.complex128 | np.float64], npt.NDArray[np.complex128 | np.float64], ], ) assert_type( np.histogram2d(AR_i, AR_b), tuple[ npt.NDArray[np.float64], npt.NDArray[np.float64], npt.NDArray[np.float64], ], ) assert_type( np.histogram2d(AR_f, AR_i), tuple[ npt.NDArray[np.float64], npt.NDArray[np.float64], npt.NDArray[np.float64], ], ) assert_type( np.histogram2d(AR_i, AR_f), tuple[ npt.NDArray[np.float64], npt.NDArray[np.float64], npt.NDArray[np.float64], ], ) assert_type( np.histogram2d(AR_f, AR_c, weights=AR_LIKE_b), tuple[ npt.NDArray[np.float64], npt.NDArray[np.complex128], npt.NDArray[np.complex128], ], ) assert_type( np.histogram2d(AR_f, AR_c, bins=8), tuple[ npt.NDArray[np.float64], npt.NDArray[np.complex128], npt.NDArray[np.complex128], ], ) assert_type( np.histogram2d(AR_c, AR_f, bins=(8, 5)), tuple[ npt.NDArray[np.float64], npt.NDArray[np.complex128], npt.NDArray[np.complex128], ], ) assert_type( np.histogram2d(AR_c, AR_i, bins=AR_u), tuple[ npt.NDArray[np.float64], npt.NDArray[np.uint64], npt.NDArray[np.uint64], ], ) assert_type( np.histogram2d(AR_c, AR_c, bins=(AR_u, AR_u)), tuple[ npt.NDArray[np.float64], npt.NDArray[np.uint64], npt.NDArray[np.uint64], ], ) assert_type( np.histogram2d(AR_c, AR_c, bins=(AR_b, 8)), tuple[ npt.NDArray[np.float64], npt.NDArray[np.bool | np.complex128], npt.NDArray[np.bool | np.complex128], ], ) assert_type(np.mask_indices(10, func1), tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]) assert_type(np.mask_indices(8, func2, "0"), tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]) assert_type(np.tril_indices(10), tuple[npt.NDArray[np.int_], npt.NDArray[np.int_]]) assert_type(np.tril_indices_from(AR_b), tuple[npt.NDArray[np.int_], npt.NDArray[np.int_]]) assert_type(np.triu_indices(10), tuple[npt.NDArray[np.int_], npt.NDArray[np.int_]]) assert_type(np.triu_indices_from(AR_b), tuple[npt.NDArray[np.int_], npt.NDArray[np.int_]])