code: def _est_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 do not converge with sample size <= 10000
  
      for distname, arg in distcont:
          yield check_cont_fit, distname, arg
  
imports: import numpy
  from scipy import stats
  from .distparams import distcont
label_desc: Use image node_id 1 for calling a global function with example usage: _est_cont_fit() without return types