code: def find_remove_duplicates(list_of_values):
      """
      # Removes duplicates from a list to return unique values - USED ONLY ONCE
      """
      output = []
      seen = set()
      for value in list_of_values:
          if value not in seen:
              output.append(value)
              seen.add(value)
      return output
  
imports: import numpy
  import pandas
  import random
  import warnings
  from sklearn.exceptions import DataConversionWarning
  import logging
  import pdb
  import copy
  import time
  from sklearn.feature_selection import chi2, mutual_info_regression, mutual_info_classif
  from sklearn.feature_selection import SelectKBest
  from itertools import combinations
  import matplotlib.patches
  import matplotlib.pyplot
  from collections import defaultdict
  from collections import OrderedDict
  import time
label_desc: Use image node_id 4 for calling a global function with example usage: find_remove_duplicates(list_of_values) and returns: output