code: def test_ransac_unknown_base_estimator():
      base_estimator = DummyRegressor()
      estimator = RANSACRegressor(
          base_estimator=base_estimator, random_state=1
      )
      estimator.fit([[1], [2], [3]], [1, 2, 3])
  
      assembler = RANSACModelAssembler(estimator)
  
      with pytest.raises(
          NotImplementedError,
          match="Model 'sklearn_DummyRegressor' is not supported",
      ):
          assembler.assemble()
  
file_path: m2cgen/tests/assemblers/test_meta.py
imports: import pytest
  from sklearn.dummy import DummyRegressor
  from sklearn.linear_model import RANSACRegressor
  from sklearn.tree import DecisionTreeRegressor
  from m2cgen import ast
  from m2cgen.assemblers import RANSACModelAssembler
  from tests.utils import cmp_exprs
label_desc: Use image node_id 2 for calling a global function with example usage: test_ransac_unknown_base_estimator() without return types