code: def __init__(self, *args, **kwargs):
      super(TestONNXDecisionTreeConverter, self).__init__(
          *args, **kwargs
      )
  
imports: import unittest
  import warnings
  import numpy
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  from onnxconverter_common.data_types import FloatTensorType
  from hummingbird.ml import convert
  from hummingbird.ml._utils import onnx_ml_tools_installed, onnx_runtime_installed, xgboost_installed
label_desc: Use image node_id 1 to create a new TestONNXDecisionTreeConverter object from inherited base classes: unittest with example: obj = TestONNXDecisionTreeConverter()