code: def test_get_registered_model(store):
      name = "model_1"
      tags = [
          RegisteredModelTag("key", "value"),
          RegisteredModelTag("anotherKey", "some other value"),
      ]
      # use fake clock
      with mock.patch("time.time", return_value=1234):
          rm = _rm_maker(store, name, tags)
          assert rm.name == name
      rmd = store.get_registered_model(name=name)
      assert rmd.name == name
      assert rmd.creation_timestamp == 1234000
      assert rmd.last_updated_timestamp == 1234000
      assert rmd.description is None
      assert rmd.latest_versions == []
      assert rmd.tags == {tag.key: tag.value for tag in tags}
  
imports: import time
  import uuid
  from unittest import mock
  import pytest
  from mlflow.entities.model_registry import ModelVersion, ModelVersionTag, RegisteredModelTag
  from mlflow.environment_variables import MLFLOW_TRACKING_URI
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE, RESOURCE_ALREADY_EXISTS, RESOURCE_DOES_NOT_EXIST, ErrorCode
  from mlflow.store.model_registry.dbmodels.models import SqlModelVersion, SqlModelVersionTag, SqlRegisteredModel, SqlRegisteredModelTag
  from mlflow.store.model_registry.sqlalchemy_store import SqlAlchemyStore
  from tests.helper_functions import random_str
label_desc: Use image node_id 6 for calling a global function with example usage: test_get_registered_model(store) without return types