code: def test_standard_scaler_onnx_ff(self, rtol=1e-06, atol=1e-06):
      model = StandardScaler(with_mean=False, with_std=False)
  
      # Expect that this raises an error due to unsuppoted model type
      self.assertRaises(
          RuntimeError, self._test_scaler_converter, model
      )
  
file_path: hummingbird/tests/test_onnxml_scaler_converter.py
imports: import unittest
  import warnings
  import numpy
  from sklearn.preprocessing import MaxAbsScaler, MinMaxScaler, StandardScaler, RobustScaler
  import torch
  from hummingbird.ml._utils import onnx_ml_tools_installed, onnx_runtime_installed
  from hummingbird.ml import convert
label_desc: Use image node_id 4 for calling the TestONNXScaler obj's underlying member method code with example usage: obj.test_standard_scaler_onnx_ff(rtol, atol) without return types