hunk.code_window:         checkpoints_df = checkpoints_df.sort_values(by=sort)
       print_format_output(checkpoints_df)
   def list_experiments(project_path,
                        sort=None,
  
hunk.labels: keep keep keep add keep keep keep
hunk.after_edit:     if output:
           experiment_path = os.path.expanduser(experiment_path)
           output_path = os.path.join(experiment_path, output)
           file_extension = os.path.splitext(output)[1].lower()
           if file_extension in (".p", ".pkl", ".pickle"):
               checkpoints_df.to_pickle(output_path)
           elif file_extension == ".csv":
               checkpoints_df.to_csv(output_path, index=False)
           else:
               raise ValueError("Unsupported filetype: {}".format(output))
           print("Output saved at:", output_path)
  
hunk.file_path: python/ray/tune/commands.py
hunk.type: add
file: from ray.rllib.models.catalog import ModelCatalog, MODEL_DEFAULTS
  from ray.rllib.models.extra_spaces import Simplex
  from ray.rllib.models.action_dist import (
      ActionDistribution, Categorical, DiagGaussian, Deterministic, Dirichlet)
  from ray.rllib.models.model import Model
  from ray.rllib.models.preprocessors import Preprocessor
  from ray.rllib.models.fcnet import FullyConnectedNetwork
  from ray.rllib.models.lstm import LSTM
  
  __all__ = [
      "ActionDistribution",
      "Categorical",
      "DiagGaussian",
      "Deterministic",
      "Dirichlet",
      "ModelCatalog",
      "Model",
      "Preprocessor",
      "FullyConnectedNetwork",
      "LSTM",
      "MODEL_DEFAULTS",
      "Simplex",
  ]
  