code: def test_guess_requires_x():
      """Regression test for GH #747."""
      x = np.arange(100)
      y = np.exp(-((x - 50) ** 2) / (2 * 10**2))
  
      mod = GaussianModel()
      msg = r"guess\(\) missing 1 required positional argument: 'x'"
      with pytest.raises(TypeError, match=msg):
          mod.guess(y)
  
file_path: lmfit-py/tests/test_builtin_models.py
imports: import inspect
  import numpy
  from numpy.testing import assert_allclose
  import pytest
  from scipy.optimize import fsolve
  from lmfit import lineshapes, models
  from lmfit.models import GaussianModel
label_desc: Use image node_id 8 for calling a global function with example usage: test_guess_requires_x() without return types