code: def get_taskmodel_and_task_names(
      task_to_taskmodel_map: Dict[str, str]
  ) -> Dict[str, List[str]]:
      """Get mapping from task model name to the list of task names associated with that task model.
  
      Args:
          task_to_taskmodel_map (Dict[str, str]): map from task name to task model name.
  
      Returns:
          Dict[str, List[str]] map of task model names to lists of task names using that task model.
  
      """
      taskmodel_and_task_names = {}
      for task_name, taskmodel_name in task_to_taskmodel_map.items():
          if taskmodel_name not in taskmodel_and_task_names:
              taskmodel_and_task_names[taskmodel_name] = []
          taskmodel_and_task_names[taskmodel_name].append(task_name)
      return taskmodel_and_task_names
  
imports: from dataclasses import dataclass
  from typing import Any
  from typing import Dict
  from typing import List
  import torch
  import torch.nn
  import transformers
  import warnings
  import jiant.proj.main.components.container_setup
  import jiant.proj.main.modeling.primary
  import jiant.utils.python.strings
  from jiant.proj.main.modeling.heads import JiantHeadFactory
  from jiant.proj.main.modeling.taskmodels import JiantTaskModelFactory, Taskmodel, MLMModel
  from jiant.shared.model_resolution import ModelArchitectures
  from jiant.tasks.core import Task
label_desc: Use image node_id 9 for calling a global function with example usage: get_taskmodel_and_task_names(task_to_taskmodel_map) and returns: taskmodel_and_task_names