code: def y():
      y_test = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
      y_score = np.array(
          [
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0.5, 0.6, 0.7, 0.8, 0.9, 0.9, 0.8, 0.1, 0.1, 0.3],
          ]
      ).T
      return y_test, y_score
  
file_path: sklearn-evaluation/tests/test_roc.py
imports: import pytest
  import numpy
  from sklearn_evaluation import plot, __version__
label_desc: Use image node_id 1 for calling a global function with example usage: y() and returns: y_test,  y_score