code: def _make_hypergeometric_pmf_sum_up_to_one_parameters():
      start = 1000
      end = 10000
      range_length = end - start
      num_chunks = 15
      assert range_length % num_chunks == 0
      chunk_size = int(range_length / num_chunks)
      sub_ranges = [
          (x, x + chunk_size) for x in range(start, end, chunk_size)
      ]
      return [  # pylint: disable=g-complex-comprehension
          dict(
              testcase_name="{}_to_{}".format(a, b),
              test_range=range(a, b),
              n=end,
              y_j=start,
          )
          for a, b in sub_ranges
      ]
  
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 1 for calling a global function with example usage: _make_hypergeometric_pmf_sum_up_to_one_parameters() and returns: unknown