[Bug]: [milvus_client_p2] The parameter "partition_names" of "hybrid_search" in error message is "partition_name_array"

[binbinlv]

Is there an existing issue for this?

• I have searched the existing issues

Describe the bug

The parameter "partition_names" of "hybrid_search" in error message is "partition_name_array"

input invalid value for partition_names, it reports error:

code=1, message=`partition_name_array` value 1 is illegal

Expected Behavior

The parameter "partition_names" of "hybrid_search" in error message is "partition_names" too.

Steps/Code To Reproduce behavior

    @pytest.mark.tags(CaseLabel.L1)
    @pytest.mark.parametrize("invalid_partition_names", [1, "1"])
    def test_milvus_client_hybrid_search_invalid_partition_names(self, invalid_partition_names):
        """
        target: test hybrid search with inconsistent metric type (default is IP) with that of index
        method: create connection, collection, insert and search with not consistent metric type
        expected: Raise exception
        """
        client = self._client()
        collection_name = cf.gen_unique_str(prefix)
        # 1. create collection
        self.create_collection(client, collection_name, default_dim)
        # 2. hybrid search
        rng = np.random.default_rng(seed=19530)
        vectors_to_search = rng.random((1, 8))
        sub_search1 = AnnSearchRequest(vectors_to_search, "embeddings", {"level": 1}, 20, expr="id<100")
        ranker = WeightedRanker(0.2, 0.8)
        error = {ct.err_code: 1,
                 ct.err_msg: f"`partition_name_array` value {invalid_partition_names} is illegal"}
        self.hybrid_search(client, collection_name, [sub_search1], ranker, limit=default_limit,
                           partition_names=invalid_partition_names, check_task=CheckTasks.err_res, check_items=error)
        self.drop_collection(client, collection_name)

Environment details

- Hardware/Softward conditions (OS, CPU, GPU, Memory):
- Method of installation (Docker, or from source):
- Milvus version (v0.3.1, or v0.4.0):  all
- Pymilvus version: 2.5.4rc1
- Milvus configuration (Settings you made in `server_config.yaml`):

Anything else?

No response