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from pathlib import Path
from typing import Callable, Optional, Tuple, Union
from torch import Tensor
from torchaudio import AudioMetaData
def load(
filepath: Union[str, Path],
out: Optional[Tensor] = None,
normalization: Union[bool, float, Callable] = True,
channels_first: bool = True,
num_frames: int = 0,
offset: int = 0,
filetype: Optional[str] = None,
) -> Tuple[Tensor, int]:
raise RuntimeError("No audio I/O backend is available.")
def save(filepath: str, src: Tensor, sample_rate: int, precision: int = 16, channels_first: bool = True) -> None:
raise RuntimeError("No audio I/O backend is available.")
def info(filepath: str) -> AudioMetaData:
raise RuntimeError("No audio I/O backend is available.")
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