diff --git a/TTS/tts/layers/generic/transformer.py b/TTS/tts/layers/generic/transformer.py
index 2fe9bcc4..9b7ecee2 100644
--- a/TTS/tts/layers/generic/transformer.py
+++ b/TTS/tts/layers/generic/transformer.py
@@ -70,7 +70,9 @@ class FFTransformerBlock(nn.Module):
 
 
 class FFTDurationPredictor:
-    def __init__(self, in_channels, hidden_channels, num_heads, num_layers, dropout_p=0.1, cond_channels=None):  # pylint: disable=unused-argument
+    def __init__(
+        self, in_channels, hidden_channels, num_heads, num_layers, dropout_p=0.1, cond_channels=None
+    ):  # pylint: disable=unused-argument
         self.fft = FFTransformerBlock(in_channels, num_heads, hidden_channels, num_layers, dropout_p)
         self.proj = nn.Linear(in_channels, 1)
 
diff --git a/TTS/tts/utils/data.py b/TTS/tts/utils/data.py
index 7a766958..d91a828e 100644
--- a/TTS/tts/utils/data.py
+++ b/TTS/tts/utils/data.py
@@ -52,5 +52,3 @@ def prepare_stop_target(inputs, out_steps):
 
 def pad_per_step(inputs, pad_len):
     return np.pad(inputs, [[0, 0], [0, 0], [0, pad_len]], mode="constant", constant_values=0.0)
-
-
diff --git a/tests/data_tests/test_loader.py b/tests/data_tests/test_loader.py
index 0fbb6bde..18066ef3 100644
--- a/tests/data_tests/test_loader.py
+++ b/tests/data_tests/test_loader.py
@@ -68,15 +68,15 @@ class TestTTSDataset(unittest.TestCase):
             for i, data in enumerate(dataloader):
                 if i == self.max_loader_iter:
                     break
-                text_input = data['text']
-                text_lengths = data['text_lengths']
-                speaker_name = data['speaker_names']
-                linear_input = data['linear']
-                mel_input = data['mel']
-                mel_lengths = data['mel_lengths']
-                stop_target = data['stop_targets']
-                item_idx = data['item_idxs']
-                wavs = data['waveform']
+                text_input = data["text"]
+                text_lengths = data["text_lengths"]
+                speaker_name = data["speaker_names"]
+                linear_input = data["linear"]
+                mel_input = data["mel"]
+                mel_lengths = data["mel_lengths"]
+                stop_target = data["stop_targets"]
+                item_idx = data["item_idxs"]
+                wavs = data["waveform"]
 
                 neg_values = text_input[text_input < 0]
                 check_count = len(neg_values)
@@ -113,14 +113,14 @@ class TestTTSDataset(unittest.TestCase):
             for i, data in enumerate(dataloader):
                 if i == self.max_loader_iter:
                     break
-                text_input = data['text']
-                text_lengths = data['text_lengths']
-                speaker_name = data['speaker_names']
-                linear_input = data['linear']
-                mel_input = data['mel']
-                mel_lengths = data['mel_lengths']
-                stop_target = data['stop_targets']
-                item_idx = data['item_idxs']
+                text_input = data["text"]
+                text_lengths = data["text_lengths"]
+                speaker_name = data["speaker_names"]
+                linear_input = data["linear"]
+                mel_input = data["mel"]
+                mel_lengths = data["mel_lengths"]
+                stop_target = data["stop_targets"]
+                item_idx = data["item_idxs"]
 
                 avg_length = mel_lengths.numpy().mean()
                 assert avg_length >= last_length
@@ -139,14 +139,14 @@ class TestTTSDataset(unittest.TestCase):
             for i, data in enumerate(dataloader):
                 if i == self.max_loader_iter:
                     break
-                text_input = data['text']
-                text_lengths = data['text_lengths']
-                speaker_name = data['speaker_names']
-                linear_input = data['linear']
-                mel_input = data['mel']
-                mel_lengths = data['mel_lengths']
-                stop_target = data['stop_targets']
-                item_idx = data['item_idxs']
+                text_input = data["text"]
+                text_lengths = data["text_lengths"]
+                speaker_name = data["speaker_names"]
+                linear_input = data["linear"]
+                mel_input = data["mel"]
+                mel_lengths = data["mel_lengths"]
+                stop_target = data["stop_targets"]
+                item_idx = data["item_idxs"]
 
                 # check mel_spec consistency
                 wav = np.asarray(self.ap.load_wav(item_idx[0]), dtype=np.float32)
@@ -188,14 +188,14 @@ class TestTTSDataset(unittest.TestCase):
             for i, data in enumerate(dataloader):
                 if i == self.max_loader_iter:
                     break
-                text_input = data['text']
-                text_lengths = data['text_lengths']
-                speaker_name = data['speaker_names']
-                linear_input = data['linear']
-                mel_input = data['mel']
-                mel_lengths = data['mel_lengths']
-                stop_target = data['stop_targets']
-                item_idx = data['item_idxs']
+                text_input = data["text"]
+                text_lengths = data["text_lengths"]
+                speaker_name = data["speaker_names"]
+                linear_input = data["linear"]
+                mel_input = data["mel"]
+                mel_lengths = data["mel_lengths"]
+                stop_target = data["stop_targets"]
+                item_idx = data["item_idxs"]
 
                 if mel_lengths[0] > mel_lengths[1]:
                     idx = 0