code: def create_jiant_task_container_from_dict(
      jiant_task_container_config_dict: Dict, verbose: bool = True
  ) -> JiantTaskContainer:
      return create_jiant_task_container(
          task_config_path_dict=jiant_task_container_config_dict[
              "task_config_path_dict"
          ],
          task_cache_config_dict=jiant_task_container_config_dict[
              "task_cache_config_dict"
          ],
          sampler_config=jiant_task_container_config_dict[
              "sampler_config"
          ],
          global_train_config=jiant_task_container_config_dict[
              "global_train_config"
          ],
          task_specific_configs_dict=jiant_task_container_config_dict[
              "task_specific_configs_dict"
          ],
          taskmodels_config=jiant_task_container_config_dict[
              "taskmodels_config"
          ],
          task_run_config=jiant_task_container_config_dict[
              "task_run_config"
          ],
          metric_aggregator_config=jiant_task_container_config_dict[
              "metric_aggregator_config"
          ],
          verbose=verbose,
      )
  
imports: import warnings
  from dataclasses import dataclass
  from typing import Dict, List, Optional
  import jiant.proj.main.components.task_sampler
  import jiant.shared.caching
  from jiant.tasks.core import Task
  from jiant.tasks.retrieval import create_task_from_config_path
  import jiant.utils.python.io
  from jiant.utils.python.datastructures import ExtendedDataClassMixin
label_desc: Use image node_id 6 for calling a global function with example usage: create_jiant_task_container_from_dict(jiant_task_container_config_dict, verbose) and returns: create_jiant_task_container