code: def example_diversity(create_X_y):
      y_pred_classifier1 = np.array([0, 0, 0, 1, 0, 1, 0, 0, 0, 0])
      y_pred_classifier2 = np.array([1, 0, 0, 1, 1, 0, 0, 0, 1, 1])
  
      y_real = np.array([0, 0, 1, 0, 0, 0, 0, 1, 1, 1])
  
      y_ex1 = create_X_y[1]
      return y_pred_classifier1, y_pred_classifier2, y_real, y_ex1
  
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 1 for calling a global function with example usage: example_diversity(create_X_y) and returns: y_pred_classifier1,  y_pred_classifier2,  y_real,  y_ex1