def METHOD_NAME(self):
    from pymilvus import Collection
    from pymilvus import FieldSchema, CollectionSchema
    from pymilvus import DataType
    coll_name = gen_collection_name()
    fields = [
        FieldSchema("int64", DataType.INT64),
        FieldSchema("float", DataType.FLOAT),
        FieldSchema("float_vector", DataType.FLOAT_VECTOR, dim=128)
    ]
    prefix = "pymilvus.client.grpc_handler.GrpcHandler"
    collection_schema = CollectionSchema(fields, primary_field="int64")
    with mock.patch(f"{prefix}.__init__", return_value=None):
        with mock.patch(f"{prefix}._wait_for_channel_ready", return_value=None):
            connections.connect()
    with mock.patch(f"{prefix}.create_collection", return_value=None):
        with mock.patch(f"{prefix}.has_collection", return_value=False):
            collection = Collection(name=coll_name, schema=collection_schema)
    with mock.patch(f"{prefix}.create_collection", return_value=None):
        with mock.patch(f"{prefix}.has_collection", return_value=True):
            with mock.patch(f"{prefix}.describe_collection", return_value=collection_schema.to_dict()):
                collection = Collection(name=coll_name)
    with mock.patch(f"{prefix}.drop_collection", return_value=None):
        with mock.patch(f"{prefix}.list_indexes", return_value=[]):
            with mock.patch(f"{prefix}.release_collection", return_value=None):
                collection.drop()
    with mock.patch(f"{prefix}.close", return_value=None):
        connections.disconnect("default")