Fix lint: ruff E722

Author: Nugine

bins/svc/preprocess.py

@@ -101,7 +101,7 @@ def preprocess(cfg, args):
                 new_datasets_list.extend(new_datasets)
             cfg.dataset.extend(new_datasets_list)
             print("Augmentation datasets: ", cfg.dataset)
-    except:
+    except Exception: # TODO: better exception handling
         print("No Data Augmentation.")
 
     # Dump metadata of datasets (singers, train/test durations, etc.)

bins/tta/preprocess.py

@@ -108,7 +108,7 @@ def preprocess(cfg, args):
                 new_datasets_list.extend(new_datasets)
             cfg.dataset.extend(new_datasets_list)
             print("Augmentation datasets: ", cfg.dataset)
-    except:
+    except Exception: # TODO: better exception handling
         print("No Data Augmentation.")
 
     # Dump metadata of datasets (singers, train/test durations, etc.)

bins/tts/preprocess.py

@@ -134,7 +134,7 @@ def preprocess(cfg, args):
                 new_datasets_list.extend(new_datasets)
             cfg.dataset.extend(new_datasets_list)
             print("Augmentation datasets: ", cfg.dataset)
-    except:
+    except Exception: # TODO: better exception handling
         print("No Data Augmentation.")
 
     # json files

bins/vocoder/preprocess.py

@@ -78,7 +78,7 @@ def preprocess(cfg, args):
                 new_datasets_list.extend(new_datasets)
             cfg.dataset.extend(new_datasets_list)
             print("Augmentation datasets: ", cfg.dataset)
-    except:
+    except Exception: # TODO: better exception handling
         print("No Data Augmentation.")
 
     # Dump metadata of datasets (singers, train/test durations, etc.)

evaluation/metrics/similarity/speaker_similarity.py

@@ -108,7 +108,7 @@ def extract_similarity(path_ref, path_deg, **kwargs):
                 "microsoft/wavlm-base-plus-sv"
             )
             model = WavLMForXVector.from_pretrained("microsoft/wavlm-base-plus-sv")
-        except:
+        except Exception: # TODO: better exception handling
             feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(
                 "pretrained/wavlm", sampling_rate=16000
             )

models/svc/base/svc_dataset.py

@@ -481,7 +481,7 @@ def __getitem__(self, index):
             if self.trans_key:
                 try:
                     self.trans_key = int(self.trans_key)
-                except:
+                except Exception: # TODO: better exception handling
                     pass
                 if isinstance(self.trans_key, int):
                     frame_pitch = transpose_key(frame_pitch, self.trans_key)

processors/content_extractor.py

@@ -129,7 +129,7 @@ def offline_resolution_transformation(self, content, target_len):
             try:
                 with open(err_log_dir, "r") as f:
                     err_num = int(f.read())
-            except:
+            except Exception: # TODO: better exception handling
                 with open(err_log_dir, "w") as f:
                     f.write("0")
                 err_num = 0
@@ -154,7 +154,7 @@ def log_for_ReTrans(self, err):
         try:
             with open(err_log_dir, "r") as f:
                 err_num = int(f.read())
-        except:
+        except Exception: # TODO: better exception handling
             with open(err_log_dir, "w") as f:
                 f.write("0")
             err_num = 0

utils/util.py

@@ -20,7 +20,7 @@
 
 try:
     from ruamel.yaml import YAML as yaml
-except:
+except ImportError:
     from ruamel_yaml import YAML as yaml
 
 import torch