code: def update_deployment(
      flavor, model_uri, target, name, config, endpoint
  ):
      """
      Update the deployment with ID `deployment_id` in the specified target.
      You can update the URI of the model and/or the flavor of the deployed model (in which case the
      model URI must also be specified).
  
      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)
  
      sig = signature(client.update_deployment)
      if "endpoint" in sig.parameters:
          ret = client.update_deployment(
              name,
              model_uri=model_uri,
              flavor=flavor,
              config=config_dict,
              endpoint=endpoint,
          )
      else:
          ret = client.update_deployment(
              name,
              model_uri=model_uri,
              flavor=flavor,
              config=config_dict,
          )
      click.echo(
          "Deployment {} is updated (with flavor {})".format(
              name, ret["flavor"]
          )
      )
  
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 4 for calling a global function with example usage: update_deployment(flavor, model_uri, target, name, config, endpoint) without return types