code: def test_process_predictions_ones_zeros(example_diversity_ones_zeros):
      y, y_pred_ones, y_pred_zeros = example_diversity_ones_zeros
      N00, N10, N01, N11 = _process_predictions(
          y, y_pred_ones, y_pred_zeros
      )
      assert (
          N00 == 0.0
          and N11 == 0.0
          and N01 == 9.0 / 15.0
          and N10 == 6.0 / 15.0
      )
  
imports: import sys
  import numpy
  import pytest
  from deslib.util.diversity import _process_predictions, double_fault, Q_statistic, ratio_errors, agreement_measure, disagreement_measure, correlation_coefficient
label_desc: Use image node_id 3 for calling a global function with example usage: test_process_predictions_ones_zeros(example_diversity_ones_zeros) without return types