code: def test_invalid_metric_frame():
      """Tests handling of invalid metric frame."""
      with pytest.raises(ValueError) as exc:
          plot_metric_frame(
              "not_metric_frame",
              metrics=["Recall"],
              conf_intervals=["Recall Bounds Flipped"],
          )
      assert str(exc.value) == _METRIC_FRAME_INVALID_ERROR
  
imports: import matplotlib
  import matplotlib.pyplot
  import numpy
  import pytest
  from sklearn.metrics import accuracy_score, confusion_matrix, recall_score
  from sklearn.utils import check_consistent_length
  from fairlearn.experimental.enable_metric_frame_plotting import plot_metric_frame
  from fairlearn.metrics import MetricFrame
  from fairlearn.metrics._plotter import _CONF_INTERVALS_FLIPPED_BOUNDS_ERROR, _CONF_INTERVALS_MUST_BE_ARRAY, _METRIC_FRAME_INVALID_ERROR
  from .data_for_test import g_1, y_p, y_t
label_desc: Use image node_id 8 for calling a global function with example usage: test_invalid_metric_frame() without return types