AlkantarClanX12
Current Path : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/ |
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal/shape_base.pyi |
import numpy as np from numpy._typing import NDArray from typing import Any i8: np.int64 f8: np.float64 AR_b: NDArray[np.bool_] AR_i8: NDArray[np.int64] AR_f8: NDArray[np.float64] AR_LIKE_f8: list[float] reveal_type(np.take_along_axis(AR_f8, AR_i8, axis=1)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.take_along_axis(f8, AR_i8, axis=None)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.put_along_axis(AR_f8, AR_i8, "1.0", axis=1)) # E: None reveal_type(np.expand_dims(AR_i8, 2)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.expand_dims(AR_LIKE_f8, 2)) # E: ndarray[Any, dtype[Any]] reveal_type(np.column_stack([AR_i8])) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.column_stack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]] reveal_type(np.dstack([AR_i8])) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.dstack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]] reveal_type(np.row_stack([AR_i8])) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.row_stack([AR_LIKE_f8])) # E: ndarray[Any, dtype[Any]] reveal_type(np.array_split(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]] reveal_type(np.array_split(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.split(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]] reveal_type(np.split(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.hsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]] reveal_type(np.hsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.vsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]] reveal_type(np.vsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.dsplit(AR_i8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[{int64}]]] reveal_type(np.dsplit(AR_LIKE_f8, [3, 5, 6, 10])) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.lib.shape_base.get_array_prepare(AR_i8)) # E: lib.shape_base._ArrayPrepare reveal_type(np.lib.shape_base.get_array_prepare(AR_i8, 1)) # E: Union[None, lib.shape_base._ArrayPrepare] reveal_type(np.get_array_wrap(AR_i8)) # E: lib.shape_base._ArrayWrap reveal_type(np.get_array_wrap(AR_i8, 1)) # E: Union[None, lib.shape_base._ArrayWrap] reveal_type(np.kron(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.kron(AR_b, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(np.kron(AR_f8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.tile(AR_i8, 5)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.tile(AR_LIKE_f8, [2, 2])) # E: ndarray[Any, dtype[Any]]