src/transformers/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.py/ASTFeatureExtractor/__init__
class ASTFeatureExtractor:    def __init__(
        self,
        feature_size=1,
        sampling_rate=16000,
        num_mel_bins=128,
        max_length=1024,
        padding_value=0.0,
        do_normalize=True,
        mean=-4.2677393,
        std=4.5689974,
        return_attention_mask=False,
        **kwargs,
    ):
        super().__init__(feature_size=feature_size, sampling_rate=sampling_rate, padding_value=padding_value, **kwargs)
        self.num_mel_bins = num_mel_bins
        self.max_length = max_length
        self.do_normalize = do_normalize
        self.mean = mean
        self.std = std
        self.return_attention_mask = return_attention_mask