code: def residual(self, pars, x, data=None):
      amp = pars["amp"]
      per = pars["period"]
      shift = pars["shift"]
      decay = pars["decay"]
  
      if abs(shift) > pi / 2:
          shift = shift - np.sign(shift) * pi
      model = (
          amp * np.sin(shift + x / per) * np.exp(-x * x * decay * decay)
      )
      if data is None:
          return model
      return model - data
  
imports: import sys
  import unittest
  import numpy
  from numpy import pi
  from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
  import pytest
  from scipy.optimize import rosen_der
  from uncertainties import ufloat
  from lmfit import Minimizer, Parameters, minimize
  from lmfit.lineshapes import gaussian
  from lmfit.minimizer import HAS_EMCEE, SCALAR_METHODS, MinimizerResult, coerce_float64
  from lmfit.models import SineModel
label_desc: Use image node_id 2 for calling the CommonMinimizerTest obj's underlying member method code with example usage: obj.residual(pars, x, data) and returns: unknown, model