code: def update_endpoint(target, endpoint, config):
      """
      Update the specified endpoint at the specified target.
  
      Additional plugin-specific arguments may also be passed to this command, via `-C key=value`
      """
      config_dict = _user_args_to_dict(config)
      client = interface.get_deploy_client(target)
      client.update_endpoint(endpoint, config=config_dict)
      click.echo(f"\nEndpoint {endpoint} is updated")
  
imports: import json
  import sys
  from inspect import signature
  import click
  from mlflow.deployments import interface
  from mlflow.environment_variables import MLFLOW_DEPLOYMENTS_CONFIG
  from mlflow.utils import cli_args
  from mlflow.utils.annotations import experimental
  from mlflow.utils.proto_json_utils import NumpyEncoder, _get_jsonable_obj
label_desc: Use image node_id 14 for calling a global function with example usage: update_endpoint(target, endpoint, config) without return types