flake8 changes

enhancer/data/fileprocessor.py

@@ -1,6 +1,5 @@
 import glob
 import os
-from re import S
 import numpy as np
 from scipy.io import wavfile
 

enhancer/loss.py

@@ -119,7 +119,8 @@ class Avergeloss(nn.Module):
     def validate_loss(self, loss: str):
         if loss not in LOSS_MAP.keys():
             raise ValueError(
-                f"Invalid loss function {loss}, available loss functions are {tuple([loss for loss in LOSS_MAP.keys()])}"
+                f"""Invalid loss function {loss}, available loss functions are
+                    {tuple([loss for loss in LOSS_MAP.keys()])}"""
             )
         else:
             return LOSS_MAP[loss]

enhancer/models/model.py

@@ -1,16 +1,10 @@
-try:
-    from functools import cached_property
-except ImportError:
-    from backports.cached_property import cached_property
 from importlib import import_module
 from huggingface_hub import cached_download, hf_hub_url
-import logging
 import numpy as np
 import os
 from typing import Optional, Union, List, Text, Dict, Any
 from torch.optim import Adam
 import torch
-from torch.nn.functional import pad
 import pytorch_lightning as pl
 from pytorch_lightning.utilities.cloud_io import load as pl_load
 from urllib.parse import urlparse
@@ -19,7 +13,6 @@ from pathlib import Path
 
 from enhancer import __version__
 from enhancer.data.dataset import EnhancerDataset
-from enhancer.utils.io import Audio
 from enhancer.loss import Avergeloss
 from enhancer.inference import Inference
 

enhancer/utils/utils.py

@@ -19,6 +19,7 @@ def check_files(root_dir: str, files: Files):
 
 
 def merge_dict(default_dict: dict, custom: Optional[dict] = None):
+
     params = dict(default_dict)
     if custom:
         params.update(custom)