code: def testHypergeometricPmf_LargeN(self):
      expected_results = [
          (0, 0.9508937),
          (1, 0.0482198),
          (2, 0.0008794),
          (3, 7.1e-06),
          (4, 2.5e-08),
          (5, 0.0),
      ]
      results = list(info_theory._hypergeometric_pmf(1000, 5, 10))
      for expected_result, result in zip(expected_results, results):
          self.assertEqual(expected_result[0], result[0])
          self.assertNear(expected_result[1], result[1], EPSILON)
  
file_path: transform/tensorflow_transform/info_theory_test.py
imports: from tensorflow_transform import info_theory
  from tensorflow_transform import test_case
  import unittest
label_desc: Use image node_id 2 for calling the InfoTheoryTest obj's underlying member method code with example usage: obj.testHypergeometricPmf_LargeN() without return types