diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
index 0b93bcd..ebe4149 100644
--- a/.github/workflows/style.yml
+++ b/.github/workflows/style.yml
@@ -20,4 +20,4 @@ jobs:
           # Check format. To fix, run "ruff format ."
           ruff format --diff .
           # Check PEP8 violations, logic/correctness errors, and sort imports. To fix, run "ruff check --fix ."
-          ruff check --diff .
+          ruff check .
diff --git a/ScaFFold/cli.py b/ScaFFold/cli.py
index b387917..0aa755b 100644
--- a/ScaFFold/cli.py
+++ b/ScaFFold/cli.py
@@ -223,7 +223,7 @@ def main():
         combined_config["point_num"] = int(combined_config["vol_size"] ** 3 / 256)
 
         # Handle Restart / Resume logic
-        if hasattr(args, "restart") and args.restart == True:
+        if hasattr(args, "restart") and args.restart:
             print("Restart flag detected: Forcing train_from_scratch = False")
             combined_config["train_from_scratch"] = False
             combined_config["restart"] = True
diff --git a/ScaFFold/datagen/get_dataset.py b/ScaFFold/datagen/get_dataset.py
index 2e74abe..885377b 100644
--- a/ScaFFold/datagen/get_dataset.py
+++ b/ScaFFold/datagen/get_dataset.py
@@ -87,12 +87,12 @@ def _git_commit_short() -> str:
         )
     except subprocess.CalledProcessError:
         print(
-            f"Tried to get git commit id in non-git repo. No commit id will be enforced for dataset reuse."
+            "Tried to get git commit id in non-git repo. No commit id will be enforced for dataset reuse."
         )
         return "no-commit-id"
     except Exception:
         print(
-            f"Exception when trying to get git commit for dataset. No commit id will be enforced for dataset reuse."
+            "Exception when trying to get git commit for dataset. No commit id will be enforced for dataset reuse."
         )
         return "no-commit-id"
 
diff --git a/ScaFFold/utils/checkpointing.py b/ScaFFold/utils/checkpointing.py
index 92c5203..5a65b09 100644
--- a/ScaFFold/utils/checkpointing.py
+++ b/ScaFFold/utils/checkpointing.py
@@ -12,11 +12,9 @@
 #
 # SPDX-License-Identifier: (Apache-2.0)
 
-import copy
 import math
 import random
 import shutil
-import time
 from concurrent.futures import ThreadPoolExecutor
 from pathlib import Path
 from typing import Any, Dict, Optional
@@ -238,7 +236,7 @@ def save_checkpoint(
                     self.best_ckpt_path,
                     is_best,
                 )
-                self._log(f"Async checkpoint offloaded to background thread.")
+                self._log("Async checkpoint offloaded to background thread.")
             else:
                 # Synchronous Save
                 self._write_to_disk(
@@ -314,7 +312,7 @@ def _get_rng_snapshot(self) -> Dict[str, Any]:
             pass
         try:
             snap["rng_state_python"] = random.getstate()
-        except:
+        except Exception:
             pass
         return snap
 
diff --git a/ScaFFold/utils/create_restart_script.py b/ScaFFold/utils/create_restart_script.py
index cc8bbbc..206eae7 100644
--- a/ScaFFold/utils/create_restart_script.py
+++ b/ScaFFold/utils/create_restart_script.py
@@ -20,7 +20,7 @@
 import stat
 import sys
 from pathlib import Path
-from typing import List, Literal, Optional, Union
+from typing import List, Literal, Union
 
 import torch
 
diff --git a/ScaFFold/utils/distributed.py b/ScaFFold/utils/distributed.py
index 2ca1c71..5e1f92e 100644
--- a/ScaFFold/utils/distributed.py
+++ b/ScaFFold/utils/distributed.py
@@ -98,7 +98,7 @@ def force_cuda_visible_devices(force: bool = False) -> None:
     other GPUs.
 
     """
-    print(f"force_cuda_visible_devices is deprecated. Skipping...")
+    print("force_cuda_visible_devices is deprecated. Skipping...")
 
 
 def get_device() -> torch.device:
diff --git a/ScaFFold/utils/evaluate.py b/ScaFFold/utils/evaluate.py
index fbecf90..440f18f 100644
--- a/ScaFFold/utils/evaluate.py
+++ b/ScaFFold/utils/evaluate.py
@@ -14,19 +14,15 @@
 
 import math
 
-import numpy as np
 import torch
 import torch.nn.functional as F
 from distconv import DCTensor
-from torch.distributed.tensor import DTensor, Replicate, Shard, distribute_tensor
+from torch.distributed.tensor import DTensor, Replicate, Shard
 from tqdm import tqdm
 
 from ScaFFold.utils.dice_score import (
     SpatialAllReduce,
     compute_sharded_dice,
-    dice_coeff,
-    dice_loss,
-    multiclass_dice_coeff,
 )
 from ScaFFold.utils.perf_measure import annotate
 
diff --git a/ScaFFold/utils/trainer.py b/ScaFFold/utils/trainer.py
index 2a69637..fe923a1 100644
--- a/ScaFFold/utils/trainer.py
+++ b/ScaFFold/utils/trainer.py
@@ -13,18 +13,14 @@
 # SPDX-License-Identifier: (Apache-2.0)
 
 # Standard library
-import json
 import math
 import os
-import random
 import shutil
 import time
 from pathlib import Path
 
 # Third party
-import numpy as np
 import torch
-import torch.distributed as dist
 import torch.nn as nn
 import torch.nn.functional as F
 from distconv import DCTensor
@@ -35,7 +31,7 @@
 
 from ScaFFold.utils.checkpointing import CheckpointManager
 from ScaFFold.utils.data_loading import FractalDataset
-from ScaFFold.utils.dice_score import SpatialAllReduce, compute_sharded_dice, dice_loss
+from ScaFFold.utils.dice_score import SpatialAllReduce, compute_sharded_dice
 from ScaFFold.utils.distributed import get_local_rank, get_world_rank, get_world_size
 
 # Local
@@ -389,9 +385,9 @@ def warmup(self):
                 enabled=self.config.torch_amp,
             ):
                 # Forward on DCTensor
-                self.log.debug(f"  warmup: running forward pass")
+                self.log.debug("  warmup: running forward pass")
                 masks_pred_dc = self.model(images_dc)
-                self.log.debug(f"  warmup: forward pass complete")
+                self.log.debug("  warmup: forward pass complete")
 
                 # Extract the underlying PyTorch local tensors
                 local_preds = masks_pred_dc
@@ -442,14 +438,14 @@ def warmup(self):
                 loss = loss_ce + loss_dice
 
             self.log.debug(
-                f"  warmup: loss calculation complete. Proceeding to backward pass"
+                "  warmup: loss calculation complete. Proceeding to backward pass"
             )
 
             # Backward pass
             self.grad_scaler.scale(loss).backward()
             self.grad_scaler.unscale_(self.optimizer)
             torch.nn.utils.clip_grad_norm_(self.model.parameters(), max_norm=1.0)
-            self.log.debug(f"  warmup: backward pass complete. Stepping optimizer")
+            self.log.debug("  warmup: backward pass complete. Stepping optimizer")
 
             self.grad_scaler.step(self.optimizer)
             self.grad_scaler.update()
diff --git a/ScaFFold/worker.py b/ScaFFold/worker.py
index ab20c4e..f0279e1 100644
--- a/ScaFFold/worker.py
+++ b/ScaFFold/worker.py
@@ -31,7 +31,6 @@
 from ScaFFold.unet import UNet
 from ScaFFold.utils.distributed import (
     get_device,
-    get_job_id,
     get_local_rank,
     get_local_size,
     get_world_rank,
@@ -266,7 +265,7 @@ def main(kwargs_dict: dict = {}):
     # Generate plots
     #
     if rank == 0:
-        log.info(f"Generating figures on rank 0...")
+        log.info("Generating figures on rank 0...")
         begin_code_region("generate_figures")
         standard_viz.main(config)
         end_code_region("generate_figures")