add test case

Author: kevincheng2

tests/multimodal/test_hasher.py

@@ -0,0 +1,46 @@
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import hashlib
+import pickle
+import unittest
+
+import numpy as np
+
+from fastdeploy.multimodal.hasher import MultimodalHasher
+
+
+class TestHashFeatures(unittest.TestCase):
+    def test_hash_features_ndarray(self):
+        """Test hash features with numpy ndarray"""
+        arr = np.random.randint(low=0, high=255, size=(28, 28), dtype=np.uint8)
+        arr_hash = MultimodalHasher.hash_features(arr)
+        target_hash = hashlib.sha256((arr.tobytes())).hexdigest()
+        assert arr_hash == target_hash, f"Ndarray hash mismatch: {arr_hash} != {target_hash}"
+
+    def test_hash_features_object(self):
+        """Test hash features with unsupported object type"""
+        obj = {"key": "value"}
+        obj_hash = MultimodalHasher.hash_features(obj)
+        target_hash = hashlib.sha256((pickle.dumps(obj))).hexdigest()
+        assert obj_hash == target_hash, f"Dict hash mismatch: {obj_hash} != {target_hash}"
+
+        obj = "test hasher str"
+        obj_hash = MultimodalHasher.hash_features(obj)
+        target_hash = hashlib.sha256((pickle.dumps(obj))).hexdigest()
+        assert obj_hash == target_hash, f"Str hash mismatch: {obj_hash} != {target_hash}"
+
+
+if __name__ == "__main__":
+    unittest.main()