SIENTIAPDE-1241: Linted files

scripts/run_training_test.py

@@ -82,8 +82,8 @@ def upload_to_minio(source_path: Path) -> str:
     object_name = f'test-model-data-{timestamp}.csv'
     target_uri = f'{MINIO_ALIAS}/{MINIO_BUCKET}/{object_name}'
 
-    subprocess.run(
-        ['mc', 'cp', str(source_path), target_uri],
+    subprocess.run(  # noqa: S603
+        ['mc', 'cp', str(source_path), target_uri],  # noqa: S607
         check=True,
     )
     return object_name

tests/utils/repository/test_training_repository.py

@@ -1,6 +1,6 @@
 """Unit tests for TrainingRepository."""
 
-from unittest.mock import MagicMock, Mock, patch
+from unittest.mock import MagicMock
 
 import numpy as np
 import pandas as pd
@@ -236,9 +236,10 @@ class TestInitScalerDict:
 
     def test_init_scaler_dict_with_minmax_scaler(self, training_repo, sample_params):
         """Test scaler dict initialization with MinMaxScaler."""
-        from model_manager.sientia.models import DataPreprocessor
         from sientia_do.operations.normalization import MinMaxScaler
 
+        from model_manager.sientia.models import DataPreprocessor
+
         sample_params.use_scaler = True
 
         # Create mock MinMaxScaler
@@ -268,9 +269,10 @@ class TestInitScalerDict:
 
     def test_init_scaler_dict_with_z_scaler(self, training_repo, sample_params):
         """Test scaler dict initialization with Z_Scaler."""
-        from model_manager.sientia.models import DataPreprocessor
         from sientia_do.operations.normalization import Z_Scaler
 
+        from model_manager.sientia.models import DataPreprocessor
+
         sample_params.use_scaler = True
 
         # Create mock Z_Scaler