From 35272b40d30b05effb13f62b13e10784f845fa11 Mon Sep 17 00:00:00 2001
From: SkalskiP <piotr.skalski92@gmail.com>
Date: Fri, 14 Nov 2025 12:38:55 +0100
Subject: [PATCH] remove ultralytics tests

---
 test/detection/test_core.py | 84 -------------------------------------
 1 file changed, 84 deletions(-)

diff --git a/test/detection/test_core.py b/test/detection/test_core.py
index bf27f209..c57bea40 100644
--- a/test/detection/test_core.py
+++ b/test/detection/test_core.py
@@ -815,87 +815,3 @@ def test_merge_inner_detection_object_pair(
     with exception:
         result = merge_inner_detection_object_pair(detection_1, detection_2)
         assert result == expected_result
-
-
-class TestFromUltralytics:
-    """Test suite for Detections.from_ultralytics method."""
-
-    def test_from_ultralytics_with_missing_boxes_attribute(self):
-        """Test that from_ultralytics handles missing boxes attribute gracefully.
-
-        Regression test for issue #2000.
-        """
-
-        # Create a mock ultralytics result without boxes attribute
-        class MockUltralyticsResult:
-            def __init__(self):
-                self.names = {0: "class1", 1: "class2"}
-                # Intentionally not setting 'boxes' or 'obb' attribute
-
-        mock_result = MockUltralyticsResult()
-        detections = Detections.from_ultralytics(mock_result)
-
-        # Should return empty detections instead of crashing
-        assert len(detections) == 0
-        assert detections.xyxy.shape == (0, 4)
-
-    def test_from_ultralytics_with_boxes_none(self):
-        """Test that from_ultralytics handles boxes=None (segmentation-only models)."""
-
-        # Create a mock ultralytics result with boxes=None
-        class MockUltralyticsResult:
-            def __init__(self):
-                self.boxes = None
-                self.names = {0: "class1"}
-                # Mock masks attribute for segmentation
-                self.masks = None
-
-        mock_result = MockUltralyticsResult()
-        # This should handle the segmentation-only case
-        # Note: Will fail if masks are not properly set, but that's expected behavior
-        try:
-            _ = Detections.from_ultralytics(mock_result)
-            # If masks are properly implemented, this should work
-        except (AttributeError, TypeError):
-            # Expected if masks aren't properly mocked
-            pass
-
-    def test_from_ultralytics_with_valid_boxes(self):
-        """Test that from_ultralytics works correctly with valid boxes."""
-
-        # Create a mock ultralytics result with valid boxes
-        class MockBoxes:
-            def __init__(self):
-                self.cls = self._MockTensor([0, 1])
-                self.xyxy = self._MockTensor([[10, 20, 30, 40], [50, 60, 70, 80]])
-                self.conf = self._MockTensor([0.9, 0.8])
-                self.id = None
-
-            class _MockTensor:
-                def __init__(self, data):
-                    self.data = np.array(data)
-
-                def cpu(self):
-                    return self
-
-                def numpy(self):
-                    return self.data
-
-                def astype(self, dtype):
-                    return self.data.astype(dtype)
-
-        class MockUltralyticsResult:
-            def __init__(self):
-                self.boxes = MockBoxes()
-                self.names = {0: "person", 1: "car"}
-                self.masks = None
-
-        mock_result = MockUltralyticsResult()
-        detections = Detections.from_ultralytics(mock_result)
-
-        assert len(detections) == 2
-        assert np.array_equal(
-            detections.xyxy, np.array([[10, 20, 30, 40], [50, 60, 70, 80]])
-        )
-        assert np.array_equal(detections.confidence, np.array([0.9, 0.8]))
-        assert np.array_equal(detections.class_id, np.array([0, 1]))