code: def test_unequal_y_sizes(self):
      y_true = [0, 1, 0, 1, 0, 1, 1]
      y_pred = [0, 0, 1, 1]
      expected_msg = "Found input variables with inconsistent numbers of samples: [7, 4]"
  
      with pytest.raises(ValueError) as error:
          metrics.count(y_true, y_pred)
      assert str(error.value) == expected_msg
  
imports: import numpy
  import pytest
  import sklearn.metrics
  import fairlearn.metrics
  from fairlearn.metrics._base_metrics import _get_labels_for_confusion_matrix
label_desc: Use image node_id 4 for calling the TestCount obj's underlying member method code with example usage: obj.test_unequal_y_sizes() without return types