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| from typing import Literal | |
| from os import PathLike | |
| import numpy as np | |
| from numpy.typing import NDArray | |
| DEFAULT_NDARRAY = NDArray[np.float64 | np.float32 | np.int32 | np.int16] | |
| def read( | |
| file: int | str | PathLike[str] | PathLike[bytes], | |
| frames: int = -1, | |
| start: int = 0, | |
| stop: int | None = None, | |
| dtype: Literal["float64", "float32", "int32", "int16"] = "float64", | |
| always_2d: bool = False, | |
| fill_value: float | None = None, | |
| out: DEFAULT_NDARRAY | None = None, | |
| samplerate: int | None = None, | |
| channels: int | None = None, | |
| format: str | None = None, | |
| subtype: str | None = None, | |
| endian: Literal["FILE", "LITTLE", "BIG", "CPU"] | None = None, | |
| closefd: bool | None = True, | |
| ) -> tuple[DEFAULT_NDARRAY, int]: ... | |
| def write( | |
| file: int | str | PathLike[str] | PathLike[bytes], | |
| data: DEFAULT_NDARRAY, | |
| samplerate: int, | |
| subtype: str | None = None, | |
| endian: Literal["FILE", "LITTLE", "BIG", "CPU"] | None = None, | |
| format: str | None = None, | |
| closefd: bool | None = True, | |
| ) -> None: ... | |