code: def test_2d_array(self):
      a, b, y_true = self._get_raw_data()
      # Specify dtype to avoid unwanted string conversion
      rf = np.asarray([a, b], dtype=object).transpose()
  
      target = _get_raw_MetricFrame()
      result = target._process_features("CF", rf, y_true)
      self._common_validations(result, ["CF0", "CF1"])
  
imports: import numpy
  import pandas
  import pytest
  import fairlearn.metrics
  from .utils import _get_raw_MetricFrame
label_desc: Use image node_id 4 for calling the TestTwoFeatures obj's underlying member method code with example usage: obj.test_2d_array() without return types