code: def test_lorentz(self):
      l_sy = np.array([0.29] * 18)
      l_sx = np.array(
          [
              0.000972971,
              0.000948268,
              0.000707632,
              0.000706679,
              0.000706074,
              0.000703918,
              0.000698955,
              0.000456856,
              0.000455207,
              0.000662717,
              0.000654619,
              0.000652694,
              0.000000859202,
              0.00106589,
              0.00106378,
              0.00125483,
              0.00140818,
              0.00241839,
          ]
      )
  
      l_dat = RealData(
          [
              3.9094,
              3.85945,
              3.84976,
              3.84716,
              3.84551,
              3.83964,
              3.82608,
              3.78847,
              3.78163,
              3.72558,
              3.70274,
              3.6973,
              3.67373,
              3.65982,
              3.6562,
              3.62498,
              3.55525,
              3.41886,
          ],
          [
              652,
              910.5,
              984,
              1000,
              1007.5,
              1053,
              1160.5,
              1409.5,
              1430,
              1122,
              957.5,
              920,
              777.5,
              709.5,
              698,
              578.5,
              418.5,
              275.5,
          ],
          sx=l_sx,
          sy=l_sy,
      )
      l_mod = Model(self.lorentz, meta=dict(name="Lorentz Peak"))
      l_odr = ODR(l_dat, l_mod, beta0=(1000.0, 0.1, 3.8))
  
      out = l_odr.run()
      assert_array_almost_equal(
          out.beta,
          np.array(
              [
                  1.4306780846149925e03,
                  1.3390509034538309e-01,
                  3.7798193600109009e00,
              ]
          ),
      )
      assert_array_almost_equal(
          out.sd_beta,
          np.array(
              [
                  7.3621186811330963e-01,
                  3.5068899941471650e-04,
                  2.4451209281408992e-04,
              ]
          ),
      )
      assert_array_almost_equal(
          out.cov_beta,
          np.array(
              [
                  [
                      2.4714409064597873e-01,
                      -6.9067261911110836e-05,
                      -3.1236953270424990e-05,
                  ],
                  [
                      -6.9067261911110836e-05,
                      5.6077531517333009e-08,
                      3.6133261832722601e-08,
                  ],
                  [
                      -3.1236953270424990e-05,
                      3.6133261832722601e-08,
                      2.7261220025171730e-08,
                  ],
              ]
          ),
      )
  
imports: import tempfile
  import shutil
  import os
  import numpy
  from numpy import pi
  from numpy.testing import assert_array_almost_equal, assert_equal, assert_warns
  import pytest
  from pytest import raises
  from scipy.odr import Data, Model, ODR, RealData, OdrStop, OdrWarning, multilinear, exponential, unilinear, quadratic, polynomial
label_desc: Use image node_id 15 for calling the TestODR obj's underlying member method code with example usage: obj.test_lorentz() without return types