code: def test_from_dict_failure(self):
      r_f, y_true = self._get_raw_data()
      raw_feature = {"Mine!": np.asarray(r_f).reshape(-1, 1)}
      target = _get_raw_MetricFrame()
      msg = (
          "DataFrame.from_dict() failed on sensitive features. "
          "Please ensure each array is strictly 1-D. "
          "The __cause__ field of this exception may contain further information."
      )
      with pytest.raises(ValueError) as ve:
          _ = target._process_features("Unused", raw_feature, y_true)
      assert msg == ve.value.args[0]
      assert ve.value.__cause__ is not None
  
imports: import numpy
  import pandas
  import pytest
  import fairlearn.metrics
  from .utils import _get_raw_MetricFrame
label_desc: Use image node_id 11 for calling the TestSingleFeature obj's underlying member method code with example usage: obj.test_from_dict_failure() without return types