class_docstr: Client of an MLflow Model Registry Server that creates and manages registered
  models and model versions.
code: def store(self):
      return utils._get_store(self.registry_uri, self.tracking_uri)
  
imports: import logging
  from mlflow.entities.model_registry import ModelVersionTag, RegisteredModelTag
  from mlflow.exceptions import MlflowException
  from mlflow.store.model_registry import SEARCH_MODEL_VERSION_MAX_RESULTS_DEFAULT, SEARCH_REGISTERED_MODEL_MAX_RESULTS_DEFAULT
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS, utils
  from mlflow.utils.arguments_utils import _get_arg_names
label_desc: Use image node_id 2 for calling the ModelRegistryClient obj's underlying member method code with example usage: obj.store() and returns: utils