def time_dropout()

in augment/effects.py [0:0]

• 3 lines of code
• 1 McCabe index (conditional complexity)

    def time_dropout(self, max_frames: Optional[int] = None, max_seconds: Optional[float] = None):
        """
        >>> np.random.seed(1)
        >>> chain = EffectChain().time_dropout(max_seconds=0.1)
        >>> t = torch.ones([1, 16000])
        >>> x = chain.apply(t, {'rate': 16000}, {'rate': 16000})
        >>> x.min().item(), x.max().item()
        (0.0, 1.0)
        >>> (x == 0).sum().item()
        1061
        >>> (x[:, 235:1296] == 0).all().item()
        True
        >>> (x[:, :235] == 0).any().item()
        False
        >>> (x[:, 235 + 1061 + 1:] == 0).any().item()
        False
        """
        self._chain.append(TimeDropout(max_frames, max_seconds))

        return self