code: def test_evaluate_same(self):
      # emd(x, x) = 0
      expected = 0
      actual = _evaluate(sd1, sd1, num_iters=1000)
      assert (
          abs(expected - actual) < 1e-8
      ), f"EMD between two equal distributions must be 0, got {actual}"
  
imports: import numpy
  import pandas
  from aif360.metrics.ot_metric import _normalize, _transform, _evaluate
  from aif360.sklearn.metrics import ot_distance
  from ot import emd2
  import unittest
  from unittest import TestCase
label_desc: Use image node_id 3 for calling the TestEvaluate obj's underlying member method code with example usage: obj.test_evaluate_same() without return types