code: def test_trimmed_mean_ci():
      # Tests the confidence intervals of the trimmed mean.
      data = ma.array(
          [
              545,
              555,
              558,
              572,
              575,
              576,
              578,
              580,
              594,
              605,
              635,
              651,
              653,
              661,
              666,
          ]
      )
      assert_almost_equal(ms.trimmed_mean(data, 0.2), 596.2, 1)
      assert_equal(
          np.round(ms.trimmed_mean_ci(data, (0.2, 0.2)), 1),
          [561.8, 630.6],
      )
  
file_path: catboost/contrib/python/scipy/py3/scipy/stats/tests/test_mstats_extras.py
imports: import numpy
  import numpy.ma
  import scipy.stats.mstats
  from numpy.testing import assert_equal, assert_almost_equal, assert_, assert_allclose
label_desc: Use image node_id 5 for calling a global function with example usage: test_trimmed_mean_ci() without return types