Fix lint: ruff E721

Author: Nugine

bins/svc/train.py

@@ -80,7 +80,7 @@ def main():
 
     # Data Augmentation
     if (
-        type(cfg.preprocess.data_augment) == list
+        isinstance(cfg.preprocess.data_augment, list)
         and len(cfg.preprocess.data_augment) > 0
     ):
         new_datasets_list = []

bins/tts/train.py

@@ -79,7 +79,7 @@ def main():
 
     # Data Augmentation
     if (
-        type(cfg.preprocess.data_augment) == list
+        isinstance(cfg.preprocess.data_augment, list)
         and len(cfg.preprocess.data_augment) > 0
     ):
         new_datasets_list = []

models/codec/ns3_codec/quantize/rvq.py

@@ -15,7 +15,7 @@ class ResidualVQ(nn.Module):
     def __init__(self, *, num_quantizers, codebook_size, **kwargs):
         super().__init__()
         VQ = FactorizedVectorQuantize
-        if type(codebook_size) == int:
+        if isinstance(codebook_size, int):
             codebook_size = [codebook_size] * num_quantizers
         self.layers = nn.ModuleList(
             [VQ(codebook_size=2**size, **kwargs) for size in codebook_size]

models/svc/base/svc_dataset.py

@@ -317,7 +317,7 @@ def __init__(self, args, cfg, infer_type):
         target_singer = args.target_singer
         self.cfg = cfg
         self.trans_key = args.trans_key
-        assert type(target_singer) == str
+        assert isinstance(target_singer, str)
 
         self.target_singer = target_singer.split("_")[-1]
         self.target_dataset = target_singer.replace(
@@ -483,7 +483,7 @@ def __getitem__(self, index):
                     self.trans_key = int(self.trans_key)
                 except:
                     pass
-                if type(self.trans_key) == int:
+                if isinstance(self.trans_key, int):
                     frame_pitch = transpose_key(frame_pitch, self.trans_key)
                 elif self.trans_key:
                     assert self.target_singer

models/vocoders/vocoder_inference.py

@@ -461,7 +461,7 @@ def tensorize(data, device, n_samples):
     """
     data: a list of numpy array
     """
-    assert type(data) == list
+    assert isinstance(data, list)
     if n_samples:
         data = data[:n_samples]
     data = [torch.as_tensor(x, device=device) for x in data]

modules/wenet_extractor/efficient_conformer/encoder.py

@@ -158,11 +158,13 @@ def __init__(
 
         # efficient conformer configs
         self.stride_layer_idx = (
-            [stride_layer_idx] if type(stride_layer_idx) == int else stride_layer_idx
+            [stride_layer_idx]
+            if isinstance(stride_layer_idx, int)
+            else stride_layer_idx
         )
-        self.stride = [stride] if type(stride) == int else stride
+        self.stride = [stride] if isinstance(stride, int) else stride
         self.group_layer_idx = (
-            [group_layer_idx] if type(group_layer_idx) == int else group_layer_idx
+            [group_layer_idx] if isinstance(group_layer_idx, int) else group_layer_idx
         )
         self.grouped_size = group_size  # group size of every GroupedAttention layer
 

modules/wenet_extractor/squeezeformer/encoder.py

@@ -108,10 +108,10 @@ def __init__(
         super(SqueezeformerEncoder, self).__init__()
         self.global_cmvn = global_cmvn
         self.reduce_idx: Optional[Union[int, List[int]]] = (
-            [reduce_idx] if type(reduce_idx) == int else reduce_idx
+            [reduce_idx] if isinstance(reduce_idx, int) else reduce_idx
         )
         self.recover_idx: Optional[Union[int, List[int]]] = (
-            [recover_idx] if type(recover_idx) == int else recover_idx
+            [recover_idx] if isinstance(recover_idx, int) else recover_idx
         )
         self.check_ascending_list()
         if reduce_idx is None:

utils/HyperParams/hps.py

@@ -14,7 +14,7 @@ class HyperParams:
 
     def __init__(self, **kwargs):
         for k, v in kwargs.items():
-            if type(v) == dict:
+            if isinstance(v, dict):
                 v = HyperParams(**v)
             self[k] = v
 

utils/util.py

@@ -393,7 +393,7 @@ def override_config(base_config, new_config):
         dict: updated configuration dict
     """
     for k, v in new_config.items():
-        if type(v) == dict:
+        if isinstance(v, dict):
             if k not in base_config.keys():
                 base_config[k] = {}
             base_config[k] = override_config(base_config[k], v)
@@ -413,7 +413,7 @@ def get_lowercase_keys_config(cfg):
     """
     updated_cfg = dict()
     for k, v in cfg.items():
-        if type(v) == dict:
+        if isinstance(v, dict):
             v = get_lowercase_keys_config(v)
         updated_cfg[k.lower()] = v
     return updated_cfg
@@ -475,7 +475,7 @@ def save_config(save_path, cfg):
 class JsonHParams:
     def __init__(self, **kwargs):
         for k, v in kwargs.items():
-            if type(v) == dict:
+            if isinstance(v, dict):
                 v = JsonHParams(**v)
             self[k] = v