code: def _verify_registered_model(fs, name, rm_data):
      rm = fs.get_registered_model(name)
      assert rm.name == name
      assert (
          rm.creation_timestamp == rm_data[name]["creation_timestamp"]
      )
      assert (
          rm.last_updated_timestamp
          == rm_data[name]["last_updated_timestamp"]
      )
      assert rm.description == rm_data[name]["description"]
      assert rm.latest_versions == rm_data[name]["latest_versions"]
      assert rm.tags == rm_data[name]["tags"]
  
imports: import time
  import uuid
  from typing import List, NamedTuple
  from unittest import mock
  import pytest
  from mlflow.entities.model_registry import ModelVersion, ModelVersionTag, RegisteredModelTag
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE, RESOURCE_DOES_NOT_EXIST, ErrorCode
  from mlflow.store.model_registry.file_store import FileStore
  from mlflow.utils.file_utils import path_to_local_file_uri, write_yaml
  from mlflow.utils.time import get_current_time_millis
  from tests.helper_functions import random_int, random_str
label_desc: Use image node_id 6 for calling a global function with example usage: _verify_registered_model(fs, name, rm_data) without return types