code: def create_label_encoder_test():
      y = ["one", "one", "one", "zero", "zero", "two"]
      X = np.random.rand(6, 3)
      pool = [DecisionTreeClassifier().fit(X, y) for _ in range(5)]
      return X, y, pool
  
file_path: DESlib/deslib/tests/conftest.py
imports: import pytest
  import numpy
  from unittest.mock import MagicMock
  from sklearn.tree import DecisionTreeClassifier
label_desc: Use image node_id 9 for calling a global function with example usage: create_label_encoder_test() and returns: X,  y,  pool