text: # coding=utf-8
  # Copyright 2020 The Google Research Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """List all available tasks."""
  
  from tcc.evaluation.algo_loss import AlgoLoss
  from tcc.evaluation.classification import Classification
  from tcc.evaluation.event_completion import EventCompletion
  from tcc.evaluation.few_shot_classification import FewShotClassification
  from tcc.evaluation.kendalls_tau import KendallsTau
  
  TASK_NAME_TO_TASK_CLASS = {
      'algo_loss': AlgoLoss,
      'kendalls_tau': KendallsTau,
      'classification': Classification,
      'event_completion': EventCompletion,
      'few_shot_classification': FewShotClassification,
  }
  
  
  def get_tasks(task_names):
    """Returns evaluation tasks."""
    iterator_tasks = {}
    embedding_tasks = {}
  
    for task_name in list(set(task_names)):
      if task_name not in TASK_NAME_TO_TASK_CLASS.keys():
        raise ValueError('%s not supported yet.' % task_name)
  
      task = TASK_NAME_TO_TASK_CLASS[task_name]()
      if task.downstream_task:
        embedding_tasks[task_name] = task
      else:
        iterator_tasks[task_name] = task
  
    return iterator_tasks, embedding_tasks
  