code: def cases_test_cont_fit():
      # this tests the closeness of the estimated parameters to the true
      # parameters with fit method of continuous distributions
      # Note: is slow, some distributions don't converge with sample
      # size <= 10000
      for distname, arg in distcont:
          if distname not in skip_fit:
              yield distname, arg
  
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 1 for calling a global function with example usage: cases_test_cont_fit() without return types