✅ [Pass] test on new framework and file name

tests/test_tools/test_module_helper.py

@@ -7,7 +7,7 @@
 
 project_root = Path(__file__).resolve().parent.parent.parent
 sys.path.append(str(project_root))
-from yolo.tools.module_helper import auto_pad, get_activation
+from yolo.utils.module_utils import auto_pad, create_activation_function
 
 
 @pytest.mark.parametrize(
@@ -29,10 +29,10 @@ def test_auto_pad(kernel_size, dilation, expected):
     [("ReLU", nn.ReLU), ("leakyrelu", nn.LeakyReLU), ("none", nn.Identity), (None, nn.Identity), (False, nn.Identity)],
 )
 def test_get_activation(activation_name, expected_type):
-    result = get_activation(activation_name)
+    result = create_activation_function(activation_name)
     assert isinstance(result, expected_type), f"get_activation does not return correct type for {activation_name}"
 
 
 def test_get_activation_invalid():
     with pytest.raises(ValueError):
-        get_activation("unsupported_activation")
+        create_activation_function("unsupported_activation")

tests/test_utils/test_dataaugment.py

@@ -9,7 +9,12 @@
 project_root = Path(__file__).resolve().parent.parent.parent
 sys.path.append(str(project_root))
 
-from yolo.utils.data_augmentation import Compose, HorizontalFlip, Mosaic, VerticalFlip
+from yolo.tools.data_augmentation import (
+    AugmentationComposer,
+    HorizontalFlip,
+    Mosaic,
+    VerticalFlip,
+)
 
 
 def test_horizontal_flip():
@@ -33,7 +38,7 @@ def test_compose():
     def mock_transform(image, boxes):
         return image, boxes
 
-    compose = Compose([mock_transform, mock_transform])
+    compose = AugmentationComposer([mock_transform, mock_transform])
     img = Image.new("RGB", (10, 10), color="blue")
     boxes = torch.tensor([[0, 0.2, 0.2, 0.8, 0.8]])
 

tests/test_utils/test_loss.py

@@ -8,7 +8,7 @@
 project_root = Path(__file__).resolve().parent.parent.parent
 sys.path.append(str(project_root))
 
-from yolo.utils.loss_functions import YOLOLoss
+from yolo.tools.loss_functions import YOLOLoss
 
 
 @pytest.fixture