run isort

tests/models/encodec/test_modeling_encodec.py

@@ -17,38 +17,32 @@
 import copy
 import inspect
 import os
+import random
 import tempfile
 import unittest
-import torchaudio
-import random
-import torch.nn.functional as F
+
 import numpy as np
+import torch.nn.functional as F
+import torchaudio
 from datasets import Audio, load_dataset
 
 from transformers import AutoProcessor, EncodecConfig
 from transformers.models.encodec.loss_encodec import (
-    Balancer,
-    compute_discriminator_loss,
-    compute_generator_adv_loss,
-    compute_feature_matching_loss,
-)
-
-from transformers.testing_utils import (
-    is_torch_available,
-    require_torch,
-    slow,
-    torch_device,
-)
+    Balancer, compute_discriminator_loss, compute_feature_matching_loss,
+    compute_generator_adv_loss)
+from transformers.testing_utils import (is_torch_available, require_torch,
+                                        slow, torch_device)
 
 from ...test_configuration_common import ConfigTester
-from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
+from ...test_modeling_common import (ModelTesterMixin, _config_zero_init,
+                                     floats_tensor, ids_tensor)
 from ...test_pipeline_mixin import PipelineTesterMixin
 
-
 if is_torch_available():
     import torch
 
-    from transformers import EncodecDiscriminator, EncodecDiscriminatorConfig, EncodecModel
+    from transformers import (EncodecDiscriminator, EncodecDiscriminatorConfig,
+                              EncodecModel)
 
 def prepare_inputs_dict(
     config,