code: def test_default_inputs_gauss():
      area = 1
      cen = 0
      std = 0.2
      x = np.arange(-3, 3, 0.01)
      y = gaussian(x, area, cen, std)
  
      g = GaussianModel()
  
      fit_option1 = {"xtol": 1e-2}
      result1 = g.fit(
          y,
          x=x,
          amplitude=1,
          center=0,
          sigma=0.5,
          max_nfev=5000,
          fit_kws=fit_option1,
      )
  
      fit_option2 = {"xtol": 1e-6}
      result2 = g.fit(
          y,
          x=x,
          amplitude=1,
          center=0,
          sigma=0.5,
          max_nfev=5000,
          fit_kws=fit_option2,
      )
  
      assert result1.values != result2.values
  
imports: import numpy
  from lmfit.lineshapes import gaussian
  from lmfit.models import GaussianModel
label_desc: Use image node_id 1 for calling a global function with example usage: test_default_inputs_gauss() without return types