code: def test_export_scale_bias(self):
      dataset = Dataset("higgs")
      model = self.fit("RMSE", dataset)
      scale, bias = "0.1234566", "0.6654322"
      for format in ["Cpp", "Json", "Python"]:
          text_model = self.set_scale_bias(model, scale, bias, format)
          assert (
              scale in open(text_model).read()
          ), "Missing scale in {}".format(text_model)
          assert (
              bias in open(text_model).read()
          ), "Missing bias in {}".format(text_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 11 for calling the TestModeNormalizeModel obj's underlying member method code with example usage: obj.test_export_scale_bias() without return types