code: def check_loc_scale(distfn, arg, m, v, msg):
      loc, scale = 10.0, 10.0
      mt, vt = distfn.stats(loc=loc, scale=scale, *arg)
      npt.assert_allclose(m * scale + loc, mt)
      npt.assert_allclose(v * scale * scale, vt)
  
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 19 for calling a global function with example usage: check_loc_scale(distfn, arg, m, v, msg) without return types