code: def y():
      y_true = np.array([0, 0, 0, 0, 1, 1, 1, 1])
      y_pred = np.array([1, 0, 1, 0, 0, 1, 1, 0])
      return y_true, y_pred
  
file_path: sklearn-evaluation/tests/test_classification_report.py
imports: import pytest
  import numpy
  from sklearn_evaluation import plot, __version__
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: y() and returns: y_true,  y_pred