code: def test_dictionary(self):
      a, b, y_true = self._get_raw_data()
  
      rf = {"Alpha": a, "Beta": b}
      target = _get_raw_MetricFrame()
      result = target._process_features("Unused", rf, y_true)
      self._common_validations(result, ["Alpha", "Beta"])
  
imports: import numpy
  import pandas
  import pytest
  import fairlearn.metrics
  from .utils import _get_raw_MetricFrame
label_desc: Use image node_id 8 for calling the TestTwoFeatures obj's underlying member method code with example usage: obj.test_dictionary() without return types