修正 mini_npz 深度数据职责

tests/test_worker.py

@@ -157,40 +157,6 @@ class WorkerTest(unittest.TestCase):
         )
         self.assertEqual(args.remove_background_model_dir, "ben2")
 
-    def test_ai_depth_is_converted_for_positive_displacement(self):
-        prediction = SimpleNamespace(
-            depth=np.array([[[0.25, 1.0], [1.5, 2.0]]]),
-            conf=np.array([[[0.1, 0.2], [0.3, 0.4]]]),
-        )
-
-        self.worker.convert_ai_depth_for_displacement(prediction)
-
-        np.testing.assert_array_equal(
-            prediction.depth,
-            [[[0.75, 0.0], [-0.5, -1.0]]],
-        )
-        np.testing.assert_array_equal(
-            prediction.conf,
-            [[[0.1, 0.2], [0.3, 0.4]]],
-        )
-
-    def test_npz_reference_depth_preserves_prediction_arrays(self):
-        with tempfile.TemporaryDirectory() as directory:
-            npz_path = Path(directory) / "results.npz"
-            depth = np.array([[[1.0, 2.0]]], dtype=np.float32)
-            confidence = np.array([[[0.2, 0.8]]], dtype=np.float32)
-            np.savez_compressed(npz_path, depth=depth, conf=confidence)
-
-            self.worker.write_npz_reference_depth(npz_path, 1.5)
-
-            with np.load(npz_path, allow_pickle=False) as archive:
-                np.testing.assert_array_equal(archive["depth"], depth)
-                np.testing.assert_array_equal(archive["conf"], confidence)
-                self.assertEqual(
-                    float(archive[self.worker.REFERENCE_DEPTH_KEY]),
-                    1.5,
-                )
-
     def test_prepares_a_single_image_file(self):
         with tempfile.TemporaryDirectory() as directory:
             image_path = Path(directory) / "input.png"
@@ -1013,12 +979,9 @@ class WorkerTest(unittest.TestCase):
             _export_dir,
             options,
         ) in export_calls:
-            expected_depth = (
-                -1.0 if export_format == "mini_npz" else 2.0
-            )
             np.testing.assert_array_equal(
                 _prediction.depth,
-                np.full((1, 2, 2), expected_depth, dtype=np.float32),
+                np.full((1, 2, 2), 2.0, dtype=np.float32),
             )
             if export_format == "glb":
                 self.assertEqual(