code: def calc(self):
      data_file = open(self.data_file_name, "r")
      predict_file = open(self.predict_file_name, "r")
  
      N = 0
      _loss_acc = 0.0
  
      for data_line, predict_line in zip(data_file, predict_file):
          # Get data
          pred = self.get_predict_action(predict_line)
          logd, L_s, P_s = self.get_logged_data(data_line)
          #       L_s = 1
          # Compute losses
          if math.isclose(pred, logd, abs_tol=self.hh):
              H_new = min(self.max_val, logd + self.hh) - max(
                  self.min_val, logd - self.hh
              )
              _loss_acc += L_s / (P_s * H_new)
          N += 1
  
      _loss = _loss_acc / float(N)
  
      # print("_loss=",_loss,", _loss_acc=",_loss_acc,", N=",N,)
  
      return _loss, N
  
file_path: vowpal_wabbit/demo/cats/utility/srm.py
imports: import sys
  import getopt
  import math
label_desc: Use image node_id 2 for calling the SRM obj's underlying member method code with example usage: obj.calc() and returns: _loss,  N