text: import pandas as pd
  from datetime import datetime
  from .utils import mars
  
  def recorddf(record):
      return pd.DataFrame(record)
  
  ## The following are the callbacks for trainer
  
  def print_all(record):
      df = recorddf(record)
      mars(df)
  
  
  def stat(record):
      """
      Print out track statistics
      :param record: self.track[epoch] in trainer.run(self.epoch)
      :param dataset: train dataset or val_dataset
      """
      df = recorddf(record)
      start = datetime.strptime(list(df["ts"])[0], "%Y-%m-%d %H:%M:%S.%f").timestamp()
      end = datetime.strptime(list(df["ts"])[-1], "%Y-%m-%d %H:%M:%S.%f").timestamp()
  
      des = df.describe().loc[["mean", "min", "max"], :]
      des["timestamp"] = [(end - start) / len(df), 0, end - start]
      mars(des)
  
  
  