code: def test_against_anderson_case_0(self):
      # "Case 0" is where loc and scale are known [1]
      rng = np.random.default_rng(7384539336846690410)
      x = np.arange(1, 101)
      # loc that produced critical value of statistic found w/ root_scalar
      known_params = {"loc": 45.01575354024957, "scale": 30}
      res = goodness_of_fit(
          stats.norm,
          x,
          known_params=known_params,
          statistic="ad",
          random_state=rng,
      )
      assert_allclose(res.statistic, 2.492)  # See [1] Table 1A 1.0
      assert_allclose(res.pvalue, 0.05, atol=5e-3)
  
imports: import os
  import numpy
  import numpy.testing
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from scipy import stats
  from scipy.optimize import differential_evolution
  from .test_continuous_basic import distcont
  from scipy.stats._distn_infrastructure import FitError
  from scipy.stats._distr_params import distdiscrete
  from scipy.stats import goodness_of_fit
label_desc: Use image node_id 5 for calling the TestGoodnessOfFit obj's underlying member method code with example usage: obj.test_against_anderson_case_0() without return types