code: def test_generate_possible_contribution_bounds(self):
      # Even though it is private function, we test it explicitly because
      # testing it through public API requires a complicated test setup.
      upper_bound = 999999
  
      bounds = private_contribution_bounds.generate_possible_contribution_bounds(
          upper_bound
      )
  
      expected = (
          list(range(1, 1000, 1))
          + list(range(1000, 10000, 10))
          + list(range(10000, 100000, 100))
          + list(range(100000, 1000000, 1000))
      )
      self.assertEqual(bounds, expected)
  
file_path: pipelinedp/tests/private_contribution_bounds_test.py
imports: import unittest
  import pipeline_dp
  from pipeline_dp.dataset_histograms import histograms
  from pipeline_dp import private_contribution_bounds
label_desc: Use image node_id 3 for calling the PrivateL0CalculatorTest obj's underlying member method code with example usage: obj.test_generate_possible_contribution_bounds() without return types