hunk.code_window:         k for k in list(info_keys) + result_keys if k in checkpoints_df
       ]
       checkpoints_df = checkpoints_df[col_keys]
       if "last_update_time" in checkpoints_df:
           with pd.option_context('mode.use_inf_as_null', True):
               datetime_series = checkpoints_df["last_update_time"].dropna()
           datetime_series = datetime_series.apply(
               lambda t: datetime.fromtimestamp(t).strftime(TIMESTAMP_FORMAT))
           checkpoints_df["last_update_time"] = datetime_series
  
hunk.labels: keep keep keep keep keep replace keep keep keep keep keep
hunk.after_edit:         with pd.option_context("mode.use_inf_as_null", True):
  
hunk.file_path: python/ray/tune/commands.py
hunk.type: replace
file: cartpole-appo-vt:
      env: CartPole-v0
      run: APPO
      stop:
          episode_reward_mean: 100
          timesteps_total: 100000
      config:
          sample_batch_size: 10
          train_batch_size: 10
          num_envs_per_worker: 5
          num_workers: 1
          num_gpus: 0
          vtrace: true
  