import numpy as np import numpy.typing as npt AR_f8: npt.NDArray[np.float64] AR_O: npt.NDArray[np.object_] AR_M: npt.NDArray[np.datetime64] np.linalg.tensorsolve(AR_O, AR_O) # E: incompatible type np.linalg.solve(AR_O, AR_O) # E: incompatible type np.linalg.tensorinv(AR_O) # E: incompatible type np.linalg.inv(AR_O) # E: incompatible type np.linalg.matrix_power(AR_M, 5) # E: incompatible type np.linalg.cholesky(AR_O) # E: incompatible type np.linalg.qr(AR_O) # E: incompatible type np.linalg.qr(AR_f8, mode="bob") # E: No overload variant np.linalg.eigvals(AR_O) # E: incompatible type np.linalg.eigvalsh(AR_O) # E: incompatible type np.linalg.eigvalsh(AR_O, UPLO="bob") # E: No overload variant np.linalg.eig(AR_O) # E: incompatible type np.linalg.eigh(AR_O) # E: incompatible type np.linalg.eigh(AR_O, UPLO="bob") # E: No overload variant np.linalg.svd(AR_O) # E: incompatible type np.linalg.cond(AR_O) # E: incompatible type np.linalg.cond(AR_f8, p="bob") # E: incompatible type np.linalg.matrix_rank(AR_O) # E: incompatible type np.linalg.pinv(AR_O) # E: incompatible type np.linalg.slogdet(AR_O) # E: incompatible type np.linalg.det(AR_O) # E: incompatible type np.linalg.norm(AR_f8, ord="bob") # E: No overload variant np.linalg.multi_dot([AR_M]) # E: incompatible type