code: def lorentz(self, beta, x):
      return (
          beta[0]
          * beta[1]
          * beta[2]
          / np.sqrt(
              np.power(x * x - beta[2] * beta[2], 2.0)
              + np.power(beta[1] * x, 2.0)
          )
      )
  
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 14 for calling the TestODR obj's underlying member method code with example usage: obj.lorentz(beta, x) and returns: unknown