format

infer/lib/train/data_utils.py

@@ -1,10 +1,12 @@
-import os, traceback
+import os
+import traceback
+
 import numpy as np
 import torch
 import torch.utils.data
 
 from infer.lib.train.mel_processing import spectrogram_torch
-from infer.lib.train.utils import load_wav_to_torch, load_filepaths_and_text
+from infer.lib.train.utils import load_filepaths_and_text, load_wav_to_torch
 
 
 class TextAudioLoaderMultiNSFsid(torch.utils.data.Dataset):

infer/lib/train/mel_processing.py

@@ -2,7 +2,6 @@ import torch
 import torch.utils.data
 from librosa.filters import mel as librosa_mel_fn
 
-
 MAX_WAV_VALUE = 32768.0
 
 

infer/lib/train/process_ckpt.py

@@ -1,7 +1,10 @@
-import torch, traceback, os, sys
-
-
+import os
+import sys
+import traceback
 from collections import OrderedDict
+
+import torch
+
 from i18n.i18n import I18nAuto
 
 i18n = I18nAuto()

infer/lib/train/utils.py

@@ -1,13 +1,15 @@
-import os, traceback
-import glob
-import sys
 import argparse
-import logging
+import glob
 import json
+import logging
+import os
 import subprocess
+import sys
+import traceback
+
 import numpy as np
-from scipy.io.wavfile import read
 import torch
+from scipy.io.wavfile import read
 
 MATPLOTLIB_FLAG = False