def test_cnn_sample_wt_fit():
 cnn = CondensedNearestNeighbour(random_state=RND_SEED)
 assert_raises(RuntimeError, cnn.sample, X, Y)

def test_cnn_sample_wt_fit ( ) : cnn = CondensedNearestNeighbour ( random_state = RND_SEED ) assert_raises ( RuntimeError , cnn . sample , X , Y )
test either if an error is raised when sample is called before fitting .