code: def check_pdf_logpdf(distfn, args, msg):
      # compares pdf at several points with the log of the pdf
      points = np.array([0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])
      vals = distfn.ppf(points, *args)
      pdf = distfn.pdf(vals, *args)
      logpdf = distfn.logpdf(vals, *args)
      pdf = pdf[pdf != 0]
      logpdf = logpdf[np.isfinite(logpdf)]
      msg += " - logpdf-log(pdf) relationship"
      npt.assert_almost_equal(
          np.log(pdf), logpdf, decimal=7, err_msg=msg
      )
  
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 14 for calling a global function with example usage: check_pdf_logpdf(distfn, args, msg) without return types