code: def test_find_candidate_parameters_more_candidates_for_l_inf_when_not_so_many_l_0_candidates(
      self,
  ):
      mock_l0_histogram = histograms.Histogram(
          histograms.HistogramType.L0_CONTRIBUTIONS, bins=[]
      )
      mock_l0_histogram.max_value = mock.Mock(return_value=2)
      mock_linf_histogram = histograms.Histogram(
          histograms.HistogramType.LINF_CONTRIBUTIONS, bins=[]
      )
      mock_linf_histogram.max_value = mock.Mock(return_value=4)
  
      mock_histograms = histograms.DatasetHistograms(
          mock_l0_histogram,
          None,
          mock_linf_histogram,
          None,
          None,
          None,
          None,
      )
      parameters_to_tune = parameter_tuning.ParametersToTune(
          max_partitions_contributed=True,
          max_contributions_per_partition=True,
      )
  
      candidates = parameter_tuning._find_candidate_parameters(
          mock_histograms,
          parameters_to_tune,
          pipeline_dp.Metrics.COUNT,
          max_candidates=9,
      )
      # sqrt(9) = 3, but l_0 has only 2 possible values,
      # therefore for l_inf we can take 9 / 2 = 4 values,
      # we take all 4 possible values (1, 2, 3, 4).
      self.assertEqual(
          [1, 1, 1, 1, 2, 2, 2, 2],
          candidates.max_partitions_contributed,
      )
      self.assertEqual(
          [1, 2, 3, 4, 1, 2, 3, 4],
          candidates.max_contributions_per_partition,
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from unittest import mock
  from unittest.mock import patch
  from typing import List, Optional
  import pipeline_dp
  import analysis
  from analysis import metrics
  from analysis import parameter_tuning
  from pipeline_dp.dataset_histograms import histograms
  from pipeline_dp.dataset_histograms import computing_histograms
label_desc: Use image node_id 3 for calling the ParameterTuning obj's underlying member method code with example usage: obj.test_find_candidate_parameters_more_candidates_for_l_inf_when_not_so_many_l_0_candidates() without return types