code: def test_gauss_sigmalevel():
      """Test that dely increases as sigma increases."""
      x, y, model, params = get_gaussianmodel(
          amplitude=50.0, center=4.5, sigma=0.78, noise=0.1
      )
      ret = model.fit(y, params, x=x)
  
      dely_sigma1 = ret.eval_uncertainty(sigma=1)
      dely_sigma2 = ret.eval_uncertainty(sigma=2)
      dely_sigma3 = ret.eval_uncertainty(sigma=3)
  
      assert dely_sigma3.mean() > 1.5 * dely_sigma2.mean()
      assert dely_sigma2.mean() > 1.5 * dely_sigma1.mean()
  
file_path: lmfit-py/tests/test_model_uncertainties.py
imports: import os
  import numpy
  from numpy.testing import assert_allclose
  from lmfit.lineshapes import gaussian
  from lmfit.models import ExponentialModel, GaussianModel, LinearModel
label_desc: Use image node_id 5 for calling a global function with example usage: test_gauss_sigmalevel() without return types