code: def has_converged(self, weight1, weight2):
      for i in range(len(weight1)):
          if abs(weight1[i] - weight2[i]) >= self.converage_threshold:
              return False
      return True
  
file_path: scikit-rebate/skrebate/iter.py
imports: from sklearn.base import BaseEstimator
  import copy
  import numpy
label_desc: Use image node_id 4 for calling the Iter obj's underlying member method code with example usage: obj.has_converged(weight1, weight2) and returns: True, False