code: def check_retrieving_support(distfn, args):
      loc, scale = 1, 2
      supp = distfn.support(*args)
      supp_loc_scale = distfn.support(*args, loc=loc, scale=scale)
      npt.assert_almost_equal(
          np.array(supp) * scale + loc, np.array(supp_loc_scale)
      )
  
imports: import sys
  import numpy
  import numpy.testing
  import pytest
  from pytest import raises
  from scipy.integrate import IntegrationWarning
  import itertools
  from scipy import stats
  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, check_freezing, check_munp_expect
  from scipy.stats._distr_params import distcont
  from scipy.stats._distn_infrastructure import rv_continuous_frozen
label_desc: Use image node_id 33 for calling a global function with example usage: check_retrieving_support(distfn, args) without return types