code: def test_deriv_zero_warning(self):
      func = lambda x: x**2 - 2.0
      dfunc = lambda x: 2 * x
      assert_warns(
          RuntimeWarning, zeros.newton, func, 0.0, dfunc, disp=False
      )
      with pytest.raises(RuntimeError, match="Derivative was zero"):
          zeros.newton(func, 0.0, dfunc)
  
imports: import pytest
  from math import sqrt, exp, sin, cos
  from functools import lru_cache
  from numpy.testing import assert_warns, assert_, assert_allclose, assert_equal, assert_array_equal, suppress_warnings
  import numpy
  from numpy import finfo, power, nan, isclose
  from scipy.optimize import zeros, newton, root_scalar
  from scipy._lib._util import getfullargspec_no_self
  from scipy.optimize._tstutils import get_tests, functions, fstrings
label_desc: Use image node_id 32 for calling the TestBasic obj's underlying member method code with example usage: obj.test_deriv_zero_warning() without return types