code: def test_confint_multinomial_proportions():
      from .results.results_multinomial_proportions import (
          res_multinomial,
      )
  
      for (method, description), values in res_multinomial.items():
          cis = multinomial_proportions_confint(
              values.proportions, 0.05, method=method
          )
          assert_almost_equal(
              values.cis,
              cis,
              decimal=values.precision,
              err_msg='"{}" method, {}'.format(method, description),
          )
  
imports: import warnings
  import numpy
  from numpy.testing import assert_allclose, assert_almost_equal, assert_array_less, assert_equal, assert_raises
  import pandas
  import pytest
  import statsmodels.stats.proportion
  from statsmodels.stats.proportion import confint_proportions_2indep, multinomial_proportions_confint, power_proportions_2indep, proportion_confint, samplesize_proportions_2indep_onetail, score_test_proportions_2indep
  from statsmodels.tools.sm_exceptions import HypothesisTestWarning
  from statsmodels.tools.testing import Holder
  from statsmodels.stats.tests.results.results_proportion import res_binom, res_binom_methods
label_desc: Use image node_id 5 for calling a global function with example usage: test_confint_multinomial_proportions() without return types