code: def performance_over_time_is_plausible(poT) -> bool:
      if len(poT) < 1:
          return False
      if len(poT.drop(columns=["Timestamp"]).dropna()) < 1:
          return False
      if not poT["Timestamp"].is_monotonic:
          return False
      return True
  
file_path: auto-sklearn/test/test_automl/automl_utils.py
imports: import typing
  import glob
  import os
  import re
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: performance_over_time_is_plausible(poT) and returns: True, False, False, False