code: def test_infeasible_index():
      actual = m.infeasible_index(target_prop={1: 0.5, 0: 0.5}, r=10)
      expected = (1, [3])
      assert (
          actual == expected
      ), f"Infeasible Index calculated wrong, got {actual}, expected {expected}"
  
imports: from aif360.metrics import RegressionDatasetMetric
  from aif360.datasets import RegressionDataset
  import numpy
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: test_infeasible_index() without return types