diff --git a/tests/model_integration_test_manual.py b/tests/model_integration_test_manual.py
index ed5b931..8decfa9 100644
--- a/tests/model_integration_test_manual.py
+++ b/tests/model_integration_test_manual.py
@@ -6,7 +6,7 @@
 import logging
 
 MODEL_ID = "YOUR_MODEL_ID_HERE"
-MODEL_ID = 23 #"00023_PIX2PIXHD_BREAST_DCEMRI" #"00002_DCGAN_MMG_MASS_ROI"  # "00007_BEZIERCURVE_TUMOUR_MASK"
+MODEL_ID = 23  # "00023_PIX2PIXHD_BREAST_DCEMRI" #"00002_DCGAN_MMG_MASS_ROI"  # "00007_BEZIERCURVE_TUMOUR_MASK"
 NUM_SAMPLES = 2
 OUTPUT_PATH = f"output/{MODEL_ID}/"
 try:
@@ -22,10 +22,9 @@
     num_samples=NUM_SAMPLES,
     output_path=OUTPUT_PATH,
     input_path="input/",
-    gpu_id= 0,
+    gpu_id=0,
     image_size=448,
     install_dependencies=True,
-
 )
 
 data_loader = generators.get_as_torch_dataloader(
@@ -42,7 +41,8 @@
 
 if len(data_loader) != NUM_SAMPLES:
     logging.warning(
-        f"{MODEL_ID}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={NUM_SAMPLES}).")
+        f"{MODEL_ID}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={NUM_SAMPLES})."
+    )
 
 #### Get the object at index 0 from the dataloader
 data_dict = next(iter(data_loader))
diff --git a/tests/test_model_executor.py b/tests/test_model_executor.py
index d3327ed..82a23a8 100644
--- a/tests/test_model_executor.py
+++ b/tests/test_model_executor.py
@@ -264,8 +264,10 @@ def test_get_dataloader_method(self, model_id):
         self.logger.debug(f"{model_id}: len(data_loader): {len(data_loader)}")
 
         if len(data_loader) != self.num_samples:
-            logging.warning(f"{model_id}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={self.num_samples}). "
-                            f"Hint: Revise if the model's internal generate() function returned tuples as required in get_as_torch_dataloader().")
+            logging.warning(
+                f"{model_id}: The number of samples in the dataloader (={len(data_loader)}) is not equal the number of samples requested (={self.num_samples}). "
+                f"Hint: Revise if the model's internal generate() function returned tuples as required in get_as_torch_dataloader()."
+            )
 
         #### Get the object at index 0 from the dataloader
         data_dict = next(iter(data_loader))