code: def check_distribution_rvs(dist, args, alpha, rvs):
      # test from scipy.stats.tests
      # this version reuses existing random variables
      D, pval = stats.kstest(rvs, dist, args=args, N=1000)
      if pval < alpha:
          D, pval = stats.kstest(dist, "", args=args, N=1000)
          npt.assert_(
              pval > alpha,
              "D = "
              + str(D)
              + "; pval = "
              + str(pval)
              + "; alpha = "
              + str(alpha)
              + "\nargs = "
              + str(args),
          )
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  import numpy.testing
  import pytest
  from pytest import raises
  from scipy._lib._numpy_compat import suppress_warnings
  from scipy.integrate import IntegrationWarning
  from scipy import stats
  from scipy.special import betainc
  from .common_tests import check_normalization, check_moment, check_mean_expect, check_var_expect, check_skew_expect, check_kurt_expect, check_entropy, check_private_entropy, check_entropy_vect_scale, check_edge_support, check_named_args, check_random_state_property, check_meth_dtype, check_ppf_dtype, check_cmplx_deriv, check_pickling, check_rvs_broadcast
  from scipy.stats._distr_params import distcont
label_desc: Use image node_id 17 for calling a global function with example usage: check_distribution_rvs(dist, args, alpha, rvs) without return types