fix(augmentation): fix Mix augmentation import

pyannote/audio/augmentation/mix.py

@@ -25,7 +25,7 @@
 
 import torch
 from torch import Tensor
-from torch_audiomentations import Mix
+from torch_audiomentations.augmentations.mix import Mix
 
 
 class MixSpeakerDiarization(Mix):
@@ -85,7 +85,6 @@ def randomize_parameters(
         targets: Optional[Tensor] = None,
         target_rate: Optional[int] = None,
     ):
-
         batch_size, num_channels, num_samples = samples.shape
         snr_distribution = torch.distributions.Uniform(
             low=torch.tensor(
@@ -116,7 +115,6 @@ def randomize_parameters(
             batch_size, dtype=torch.int64
         )
         for n in range(max_num_speakers + 1):
-
             # indices of samples with exactly n speakers
             samples_with_n_speakers = torch.where(num_speakers == n)[0]
             num_samples_with_n_speakers = len(samples_with_n_speakers)