code: def test_x_dataset(x_dataset_classifier):
      n_rows, n_cols = x_dataset_classifier.shape
      assert n_rows == 20, "Number of rows should be 20"
      assert n_cols == 6, "Number of columns shoud be 6"
  
imports: import joblib
  import numpy
  import pytest
  from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier
  from dtreeviz.models.sklearn_decision_trees import ShadowSKDTree
label_desc: Use image node_id 3 for calling a global function with example usage: test_x_dataset(x_dataset_classifier) without return types