code: def test_gnb_prior_large_bias():
      """Test if good prediction when class prior favor largely one class"""
      clf = GaussianNB(priors=np.array([0.01, 0.99]))
      clf.fit(X, y)
      assert clf.predict([[-0.1, -0.1]]) == np.array([2])
  
imports: import re
  import warnings
  import numpy
  import pytest
  from scipy.special import logsumexp
  from sklearn.datasets import load_digits, load_iris
  from sklearn.model_selection import cross_val_score, train_test_split
  from sklearn.naive_bayes import BernoulliNB, CategoricalNB, ComplementNB, GaussianNB, MultinomialNB
  from sklearn.utils._testing import assert_allclose, assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 11 for calling a global function with example usage: test_gnb_prior_large_bias() without return types