code: def test_exp_output_transform():
      estimator = lgb.LGBMRegressor(
          n_estimators=2,
          random_state=1,
          max_depth=1,
          objective="poisson",
      )
      utils.get_regression_model_trainer()(estimator)
  
      assembler = LightGBMModelAssembler(estimator)
      actual = assembler.assemble()
  
      expected = ast.ExpExpr(
          ast.BinNumExpr(
              ast.IfExpr(
                  ast.CompExpr(
                      ast.FeatureRef(12),
                      ast.NumVal(9.725),
                      ast.CompOpType.GT,
                  ),
                  ast.NumVal(3.1043985065105892),
                  ast.NumVal(3.1318783133960197),
              ),
              ast.IfExpr(
                  ast.CompExpr(
                      ast.FeatureRef(5),
                      ast.NumVal(6.8375),
                      ast.CompOpType.GT,
                  ),
                  ast.NumVal(0.028409619436010138),
                  ast.NumVal(-0.0060740730485278754),
              ),
              ast.BinNumOpType.ADD,
          )
      )
  
      assert utils.cmp_exprs(actual, expected)
  
file_path: m2cgen/tests/assemblers/test_boosting_lightgbm.py
imports: import lightgbm
  import numpy
  import pytest
  from m2cgen import ast
  from m2cgen.assemblers import LightGBMModelAssembler
  from tests import utils
label_desc: Use image node_id 9 for calling a global function with example usage: test_exp_output_transform() without return types