code: def cases_test_fitstart():
      for distname, shapes in dict(distcont).items():
          if not isinstance(distname, str) or distname in {
              "studentized_range",
              "recipinvgauss",
          }:  # slow
              continue
          yield distname, shapes
  
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 10 for calling a global function with example usage: cases_test_fitstart() without return types