feat: migrate multi-vector query and reranker logic to C++

examples/c/CMakeLists.txt

@@ -123,4 +123,4 @@ if(CMAKE_BUILD_TYPE STREQUAL "Release" AND ANDROID)
     set_property(TARGET c_api_basic_example c_api_collection_schema_example c_api_doc_example
                  c_api_index_example c_api_field_schema_example c_api_optimized_example
                  PROPERTY INTERPROCEDURAL_OPTIMIZATION TRUE)
-endif()
+endif()

python/tests/detail/test_collection_dql.py

@@ -843,7 +843,7 @@ def test_query_multivector_rrf(self, full_collection: Collection, doc_num):
             )
             expected_score = expected_rrf_scores[doc_id]
             actual_score = doc.score
-            assert abs(actual_score - expected_score) < 1e-10, (
+            assert abs(actual_score - expected_score) < 1e-6, (
                 f"RRF score mismatch for document {doc_id}: expected {expected_score}, got {actual_score}"
             )
             assert doc.score <= prev_score, (
@@ -876,9 +876,8 @@ def test_query_multivector_weighted(
         batchdoc_and_check(full_collection, multiple_docs, doc_num, operator="insert")
         doc_fields, doc_vectors = generate_vectordict_random(full_collection.schema)
 
-        weighted_reranker = WeightedReRanker(
-            topn=3, weights=weights, metric=MetricType.IP
-        )
+        metrics = {field: MetricType.IP for field in weights}
+        weighted_reranker = WeightedReRanker(topn=3, weights=weights, metrics=metrics)
 
         single_query_results = {}
         for k, v in DEFAULT_VECTOR_FIELD_NAME.items():
@@ -911,7 +910,7 @@ def test_query_multivector_weighted(
             )
             expected_score = expected_weighted_scores[doc_id]
             actual_score = doc.score
-            assert abs(actual_score - expected_score) < 1e-10, (
+            assert abs(actual_score - expected_score) < 1e-6, (
                 f"score mismatch for document {doc_id}: expected {expected_score}, got {actual_score}"
             )
             assert doc.score <= prev_score, (