Mini Shell
from typing import Any
import numpy as np
import numpy.typing as npt
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_U: list[str]
AR_o: npt.NDArray[np.object_]
OUT_f: npt.NDArray[np.float64]
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Any
reveal_type(np.einsum("i,i->i", AR_o, AR_o)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Any
reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f)) # E: ndarray[Any, dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f)) # E: ndarray[Any, dtype[{float64}]
reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")) # E: Any
reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")) # E: Any
reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str]
reveal_type(np.einsum([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Any
reveal_type(np.einsum_path([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
Zerion Mini Shell 1.0