def test_renn_sample_wt_fit():
 renn = RepeatedEditedNearestNeighbours(random_state=RND_SEED)
 assert_raises(RuntimeError, renn.sample, X, Y)

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