code: def test_2m_1cf(self, mf_2m_1cf):
      assert isinstance(mf_2m_1cf.overall_ci, list)
      for item in mf_2m_1cf.overall_ci:
          assert isinstance(item, type(mf_2m_1cf.overall))
      assert len(mf_2m_1cf.overall_ci) == len(QUANTILES)
      assert mf_2m_1cf.ci_quantiles == QUANTILES
  
      # Overall value should be close to quantile 0.5
      for m in ["mse", "group_frac"]:
          for cf in np.unique(g_2):
              assert mf_2m_1cf.overall_ci[1][m][cf] == pytest.approx(
                  mf_2m_1cf.overall[m][cf], abs=ABS_TOL
              )
  
imports: import numpy
  import pytest
  import sklearn.metrics
  from fairlearn.metrics import MetricFrame, count
  from .data_for_test import g_1, g_2, y_p, y_t
label_desc: Use image node_id 4 for calling the TestOverallQuantiles obj's underlying member method code with example usage: obj.test_2m_1cf(mf_2m_1cf) without return types