chore(format): run black on dev

infer/modules/train/extract_f0_print.py

@@ -42,6 +42,7 @@ is_half = sys.argv[5] == "True"
 if importlib.util.find_spec("torch_directml") is not None:
     import torch_directml  # use side effect
 
+
 class FeatureInput(object):
     def __init__(self, is_half: bool, device="cpu", samplerate=16000, hop_size=160):
         self.fs = samplerate