code: def test_scalar_minimizers(self):
      # test all the scalar minimizers
      for method in SCALAR_METHODS:
          if method in [
              "newton",
              "dogleg",
              "trust-ncg",
              "cg",
              "trust-exact",
              "trust-krylov",
              "trust-constr",
          ]:
              continue
          self.minimizer = SCALAR_METHODS[method]
          if method == "Nelder-Mead":
              sig = 0.2
          else:
              sig = 0.15
          self.scalar_minimizer(sig=sig)
  
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 4 for calling the CommonMinimizerTest obj's underlying member method code with example usage: obj.test_scalar_minimizers() without return types