diff --git a/egs/reazonspeech/ASR/local/compute_fbank_musan.py b/egs/reazonspeech/ASR/local/compute_fbank_musan.py
index 72c61f326..ac9d80720 100755
--- a/egs/reazonspeech/ASR/local/compute_fbank_musan.py
+++ b/egs/reazonspeech/ASR/local/compute_fbank_musan.py
@@ -55,7 +55,9 @@ def is_cut_long(c: MonoCut) -> bool:
 
 
 def compute_fbank_musan(
-    num_mel_bins: int = 80, whisper_fbank: bool = False, output_dir: str = "data/manifests"
+    num_mel_bins: int = 80,
+    whisper_fbank: bool = False,
+    output_dir: str = "data/manifests",
 ):
     src_dir = Path("data/manifests")
     output_dir = Path(output_dir)
diff --git a/egs/reazonspeech/ASR/local/utils/asr_datamodule.py b/egs/reazonspeech/ASR/local/utils/asr_datamodule.py
index 60e4147be..bbede6c38 100644
--- a/egs/reazonspeech/ASR/local/utils/asr_datamodule.py
+++ b/egs/reazonspeech/ASR/local/utils/asr_datamodule.py
@@ -180,8 +180,8 @@ class ReazonSpeechAsrDataModule:
         )
 
     def train_dataloaders(
-        self, 
-        cuts_train: CutSet, 
+        self,
+        cuts_train: CutSet,
         sampler_state_dict: Optional[Dict[str, Any]] = None,
         cuts_musan: Optional[CutSet] = None,
     ) -> DataLoader:
diff --git a/egs/reazonspeech/ASR/zipformer/train.py b/egs/reazonspeech/ASR/zipformer/train.py
index ca7691406..6e63cfd44 100755
--- a/egs/reazonspeech/ASR/zipformer/train.py
+++ b/egs/reazonspeech/ASR/zipformer/train.py
@@ -65,10 +65,10 @@ import torch.nn as nn
 from asr_datamodule import ReazonSpeechAsrDataModule
 from decoder import Decoder
 from joiner import Joiner
+from lhotse import load_manifest
 from lhotse.cut import Cut
 from lhotse.dataset.sampling.base import CutSampler
 from lhotse.utils import fix_random_seed
-from lhotse import load_manifest
 from model import AsrModel
 from optim import Eden, ScaledAdam
 from scaling import ScheduledFloat
@@ -1226,14 +1226,16 @@ def run(rank, world_size, args):
             cuts_musan = load_manifest(musan_path)
             logging.info(f"Loaded MUSAN manifest from {musan_path}")
         else:
-            logging.warning(f"MUSAN manifest not found at {musan_path}, disabling MUSAN augmentation")
+            logging.warning(
+                f"MUSAN manifest not found at {musan_path}, disabling MUSAN augmentation"
+            )
             cuts_musan = None
     else:
         cuts_musan = None
 
     train_dl = reazonspeech_corpus.train_dataloaders(
-        train_cuts, 
-        sampler_state_dict=sampler_state_dict, 
+        train_cuts,
+        sampler_state_dict=sampler_state_dict,
         cuts_musan=cuts_musan,
     )