def test_mrr_empty_zero():
rr = lm.recip_rank([], [1, 3])
assert rr == approx(0)
def test_mrr_array_late():
"deep -> 0.1"
rr = lm.recip_rank(np.arange(1, 21, 1, 'u4'), [20, 10])
assert rr == approx(0.1)
def test_mrr_series_idx():
"second relevant -> 0.5 in pd series w/ index"
rr = lm.recip_rank(pd.Series([1, 2, 3]), pd.Index([5, 2, 3]))
assert rr == approx(0.5)
def test_mrr_second_one_half():
"second relevant -> 0.5"
rr = lm.recip_rank([1, 2, 3], [5, 2, 3])
assert rr == approx(0.5)
def test_mrr_first_one():
"first relevant -> one"
rr = lm.recip_rank([1, 2, 3], [1, 4])
assert rr == approx(1.0)
def test_mrr_norel_zero():
"no relevant items -> zero"
rr = lm.recip_rank([1, 2, 3], [4, 5])
assert rr == approx(0)