code: def list_diff(first_list, second_list):
      """Utility function to calculate list difference (first_list-second_list)
  
      Parameters
      ----------
      first_list : list
          First list.
  
      second_list : list
          Second list.
  
      Returns
      -------
      diff : different elements.
  
      """
      second_list = set(second_list)
      return [item for item in first_list if item not in second_list]
  
imports: import numpy
  from numpy import percentile
  from sklearn.metrics import precision_score
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils import column_or_1d
  from sklearn.utils import check_array
  from sklearn.utils import check_consistent_length
  from sklearn.utils import check_random_state
  from sklearn.utils.random import sample_without_replacement
  from pyod.utils.utility import check_parameter
label_desc: Use image node_id 11 for calling a global function with example usage: list_diff(first_list, second_list) and returns: unknown