code: def get_scale_bias(self, model):
      scale_bias_txt = get_test_output_path("scale_bias{}.txt")
      with open(scale_bias_txt, "wt") as to_scale_bias_txt:
          yc.execute(
              [
                  CATBOOST_PATH,
                  "normalize-model",
                  "-m",
                  model,
                  "--print-scale-and-bias",
              ],
              stdout=to_scale_bias_txt,
          )
      for line in open(scale_bias_txt).readlines():
          m = re.match(r"Input model scale (\S+) bias (\S+)", line)
          if m:
              return float(m.group(1)), float(m.group(2))
      raise ValueError("No scale/bias in model {}".format(model))
  
imports: import os
  import pytest
  import re
  import yatest.common
  from lib import data_file, get_limited_precision_dsv_diff_tool
label_desc: Use image node_id 4 for calling the TestModeNormalizeModel obj's underlying member method code with example usage: obj.get_scale_bias(model) and returns: float,  float