chore(format): run black on dev (#111)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

infer/modules/train/extract_f0_print.py

@@ -98,8 +98,9 @@ if __name__ == "__main__":
     # f = open("%s/log_extract_f0.log"%exp_dir, "w")
 
     from configs import Config
+
     Config.use_insecure_load()
-    
+
     printt(" ".join(sys.argv))
     featureInput = FeatureInput(is_half, device)
     paths = []

infer/modules/train/extract_feature_print.py

@@ -30,6 +30,7 @@ import torch
 import torch.nn.functional as F
 
 from configs import Config
+
 Config.use_insecure_load()
 
 if "privateuseone" not in device:

infer/modules/train/preprocess.py

@@ -143,5 +143,6 @@ def preprocess_trainset(inp_root, sr, n_p, exp_dir, per):
 
 if __name__ == "__main__":
     from configs import Config
+
     Config.use_insecure_load()
     preprocess_trainset(inp_root, sr, n_p, exp_dir, per)