fix Lint check

mozilla_voice_tts/tts/datasets/TTSDataset.py

@@ -199,7 +199,7 @@ class MyDataset(Dataset):
                             for idx in ids_sorted_decreasing]
             # get speaker embeddings
             if self.speaker_mapping  is not None:
-                wav_files_names = [batch[idx]['wav_file_name'] for idx in ids_sorted_decreasing]       
+                wav_files_names = [batch[idx]['wav_file_name'] for idx in ids_sorted_decreasing]
                 speaker_embedding = [self.speaker_mapping[w]['embedding'] for w in wav_files_names]
             else:
                 speaker_embedding = None

mozilla_voice_tts/tts/datasets/preprocess.py

@@ -229,14 +229,14 @@ def vctk(root_path, meta_files=None, wavs_path='wav48'):
     items = []
     meta_files = glob(f"{os.path.join(root_path,'txt')}/**/*.txt", recursive=True)
     for meta_file in meta_files:
-        txt, speaker_id, txt_file = os.path.relpath(meta_file,root_path).split(os.sep)
+        _, speaker_id, txt_file = os.path.relpath(meta_file, root_path).split(os.sep)
         file_id = txt_file.split('.')[0]
         if isinstance(test_speakers, list): # if is list ignore this speakers ids
             if speaker_id in test_speakers:
                 continue
         with open(meta_file) as file_text:
             text = file_text.readlines()[0]
-        wav_file = os.path.join(root_path, wavs_path, speaker_id,file_id+'.wav')
+        wav_file = os.path.join(root_path, wavs_path, speaker_id, file_id+'.wav')
         items.append([text, wav_file, speaker_id])
     
     return items

mozilla_voice_tts/tts/models/tacotron.py

@@ -55,7 +55,7 @@ class Tacotron(TacotronAbstract):
             self.embeddings_per_sample = True
 
         # speaker and gst embeddings is concat in decoder input
-        if num_speakers > 1: 
+        if num_speakers > 1:
             decoder_in_features = decoder_in_features + speaker_embedding_dim # add speaker embedding dim
         if self.gst:
             decoder_in_features = decoder_in_features + gst_embedding_dim # add gst embedding dim

mozilla_voice_tts/tts/utils/text/cleaners.py

@@ -119,7 +119,7 @@ def english_cleaners(text):
     return text
 
 def portuguese_cleaners(text):
-    '''Basic pipeline for Portuguese text. There is no need to expand abbreviation and 
+    '''Basic pipeline for Portuguese text. There is no need to expand abbreviation and
         numbers, phonemizer already does that'''
     text = lowercase(text)
     text = replace_symbols(text, lang='pt')

mozilla_voice_tts/utils/generic_utils.py

@@ -147,7 +147,6 @@ def check_argument(name, c, enum_list=None, max_val=None, min_val=None, restrict
         if enum_list:
             assert c[name].lower() in enum_list, f' [!] {name} is not a valid value'
         if isinstance(val_type, list):
-            valid_types = val_type
             is_valid = False
             for typ in val_type:
                 if isinstance(c[name], typ):