code: def test_passthrough_false(create_X_y):
      X, y = create_X_y
      pool = [DecisionTreeClassifier().fit(X, y) for _ in range(5)]
      stacked = StackedClassifier(pool, passthrough=False)
      stacked.fit(X, y)
      assert stacked.meta_classifier_.coef_.shape == (1, 5)
  
file_path: DESlib/deslib/tests/static/test_stacked.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.linear_model import Perceptron
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.static.stacked import StackedClassifier
label_desc: Use image node_id 8 for calling a global function with example usage: test_passthrough_false(create_X_y) without return types