code: def compare_evals(fit_eval, calc_eval, skip_header=False):
      csv_fit = csv.reader(open(fit_eval, "r"), dialect="excel-tab")
      csv_calc = csv.reader(open(calc_eval, "r"), dialect="excel-tab")
      if skip_header:
          next(csv_fit)
          next(csv_calc)
      while True:
          try:
              line_fit = next(csv_fit)
              line_calc = next(csv_calc)
              if line_fit[:-1] != line_calc:
                  return False
          except StopIteration:
              break
      return True
  
imports: import collections
  import csv
  import json
  import os
  import random
  import shutil
  import sys
  from pandas import read_csv, DataFrame
  from copy import deepcopy
  import numpy
  from catboost.utils import read_cd
label_desc: Use image node_id 9 for calling a global function with example usage: compare_evals(fit_eval, calc_eval, skip_header) and returns: True, False