code: def test_against_mathematica(self):
      # Results obtained from Mathematica by computing
      #
      # PDF[VoigtDistribution[gamma, sigma], x]
      #
      points = np.array(
          [
              [-7.89, 45.06, 6.66, 0.0077921073660388806401],
              [-0.05, 7.98, 24.13, 0.012068223646769913478],
              [-13.98, 16.83, 42.37, 0.0062442236362132357833],
              [-12.66, 0.21, 6.32, 0.010052516161087379402],
              [11.34, 4.25, 21.96, 0.0113698923627278917805],
              [-11.56, 20.40, 30.53, 0.0076332760432097464987],
              [-9.17, 25.61, 8.32, 0.011646345779083005429],
              [16.59, 18.05, 2.50, 0.013637768837526809181],
              [9.11, 2.12, 39.33, 0.0076644040807277677585],
              [-43.33, 0.30, 45.68, 0.0036680463875330150996],
          ]
      )
      FuncData(
          sc.voigt_profile, points, (0, 1, 2), 3, atol=0, rtol=1e-15
      ).check()
  
file_path: scipy/scipy/special/tests/test_faddeeva.py
imports: import pytest
  import numpy
  from numpy.testing import assert_allclose
  import scipy.special
  from scipy.special._testutils import FuncData
label_desc: Use image node_id 3 for calling the TestVoigtProfile obj's underlying member method code with example usage: obj.test_against_mathematica() without return types