code: def is_grid_search_published(self):
      if self.models is None or len(self.models) == 0:
          warnings.warn(
              "The grid search instance doesn't contain any trained model."
          )
          return True
      else:
          mlops_connection = create_mlops_connection()
          project = get_or_create_project(mlops_connection)
          return all(
              [
                  _is_model_published(
                      mlops_connection, project, model.model_id
                  )
                  for model in self.models
              ]
          )
  
imports: import h2o.h2o
  from .connect import *
  from .utils import *
  from .status import _is_model_published
  from .deploy import deploy
  import warnings
  import os
  import mimetypes
  import h2o_mlops_client
  import h2o_cloud_extensions
label_desc: Use image node_id 11 for calling a global function with example usage: is_grid_search_published() and returns: True, all