code: def test_y_dataset(y_dataset_classifier):
      assert (
          y_dataset_classifier.shape[0] == 20
      ), "Number of rows should be 20"
      assert list(y_dataset_classifier) == [
          0,
          1,
          1,
          1,
          0,
          0,
          0,
          0,
          1,
          1,
          1,
          1,
          0,
          0,
          0,
          1,
          0,
          1,
          0,
          1,
      ]
  
imports: import joblib
  import numpy
  import pytest
  import xgboost
  from dtreeviz.models.xgb_decision_tree import ShadowXGBDTree
label_desc: Use image node_id 4 for calling a global function with example usage: test_y_dataset(y_dataset_classifier) without return types