diff --git a/examples/multimodal/evaluation/evaluate_mmmu.py b/examples/multimodal/evaluation/evaluate_mmmu.py
index 90cf141cd54..2bdc2ebbdc5 100644
--- a/examples/multimodal/evaluation/evaluate_mmmu.py
+++ b/examples/multimodal/evaluation/evaluate_mmmu.py
@@ -1,3 +1,4 @@
+# Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 import argparse
 import glob
 import json
@@ -104,7 +105,7 @@ def mmmu_eval(input_path, groundtruth_path):
     print(output.stderr)
     print(output.stdout)
 
-    m = re.search("'Overall': {'num': \d+, 'acc': (\d.\d+)}", output.stdout)
+    m = re.search(r"'Overall': {'num': \d+, 'acc': (\d\.\d+)}", output.stdout)
 
     return float(m.group(1)) * 100.0
 
diff --git a/megatron/legacy/model/vision/esvit_swin_backbone.py b/megatron/legacy/model/vision/esvit_swin_backbone.py
index 87932040cb7..c7c67b40c64 100644
--- a/megatron/legacy/model/vision/esvit_swin_backbone.py
+++ b/megatron/legacy/model/vision/esvit_swin_backbone.py
@@ -726,7 +726,7 @@ def init_weights(self, pretrained='', pretrained_layers=[], verbose=True):
             for k, v in pretrained_dict.items():
                 need_init = (
                         k.split('.')[0] in pretrained_layers
-                        or pretrained_layers[0] is '*'
+                        or pretrained_layers[0] == '*'
                         or 'relative_position_index' not in k
                         or 'attn_mask' not in k
                 )
@@ -785,7 +785,7 @@ def freeze_pretrained_layers(self, frozen_layers=[]):
             if (
                     name.split('.')[0] in frozen_layers
                     or '.'.join(name.split('.')[0:2]) in frozen_layers
-                    or (len(frozen_layers) > 0 and frozen_layers[0] is '*')
+                    or (len(frozen_layers) > 0 and frozen_layers[0] == '*')
             ):
                 for _name, param in module.named_parameters():
                     param.requires_grad = False
@@ -796,7 +796,7 @@ def freeze_pretrained_layers(self, frozen_layers=[]):
         for name, param in self.named_parameters():
             if (
                     name.split('.')[0] in frozen_layers
-                    or (len(frozen_layers) > 0 and frozen_layers[0] is '*')
+                    or (len(frozen_layers) > 0 and frozen_layers[0] == '*')
                     and param.requires_grad is True
             ):
                 param.requires_grad = False
diff --git a/tests/test_utils/python_scripts/launch_nemo_run_workload.py b/tests/test_utils/python_scripts/launch_nemo_run_workload.py
index 8d006f70d19..bf4bb37aa20 100644
--- a/tests/test_utils/python_scripts/launch_nemo_run_workload.py
+++ b/tests/test_utils/python_scripts/launch_nemo_run_workload.py
@@ -140,10 +140,10 @@ def main(
         succeeded = str(job_dict["status"]) == "SUCCEEDED"
 
         if succeeded:
-            logger.info(f"Job succeeded with status: {job_dict["status"]}")
+            logger.info(f"Job succeeded with status: {job_dict['status']}")
             sys.exit(0)
 
-        logger.error(f"Job failed with status: {job_dict["status"]}")
+        logger.error(f"Job failed with status: {job_dict['status']}")
         log_file_paths = pathlib.Path(os.getcwd()).glob("assets_dir/logs/*/*/attempt_0/*/std*.log")
         all_ranks_all_logs = []
         for log_file_path in log_file_paths: