code: def data():
      X, y = make_blobs(random_state=0, centers=2)
      return train_test_split(X, y, random_state=0)
  
file_path: imbalanced-learn/imblearn/metrics/tests/test_score_objects.py
imports: import pytest
  from sklearn.datasets import make_blobs
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import make_scorer
  from sklearn.model_selection import GridSearchCV, train_test_split
  from imblearn.metrics import geometric_mean_score, make_index_balanced_accuracy, sensitivity_score, specificity_score
label_desc: Use image node_id 1 for calling a global function with example usage: data() and returns: train_test_split