code: def test_rbf_kernel():
      estimator = SVC(kernel="rbf", random_state=1, gamma=2.0)
  
      estimator.fit([[1], [2]], [1, 2])
  
      assembler = SklearnSVMModelAssembler(estimator)
      actual = assembler.assemble()
  
      kernels = [
          utils._svm_rbf_kernel_ast(estimator, 1.0),
          utils._svm_rbf_kernel_ast(estimator, 2.0),
      ]
      expected = utils._create_expected_svm_single_output_ast(
          estimator.dual_coef_, estimator.intercept_, kernels
      )
  
      assert cmp_exprs(actual, expected)
  
file_path: m2cgen/tests/assemblers/test_svm_sklearn.py
imports: import numpy
  import pytest
  from sklearn.svm import SVC
  from m2cgen import ast
  from m2cgen.assemblers import SklearnSVMModelAssembler
  from tests.assemblers import utils
  from tests.utils import cmp_exprs
label_desc: Use image node_id 1 for calling a global function with example usage: test_rbf_kernel() without return types