code: def test_ci_symmetry_array(count, method):
      n = 100
      a = proportion_confint([count, count], n, method=method)
      b = proportion_confint([n - count, n - count], n, method=method)
      assert_allclose(np.array(a), 1.0 - np.array(b[::-1]))
  
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 26 for calling a global function with example usage: test_ci_symmetry_array(count, method) without return types