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from math import log
import pytest
import wn
from wn import similarity as sim
from wn.ic import information_content as infocont
from wn.taxonomy import taxonomy_depth
def get_synsets(w):
return {
"information": w.synset("test-en-0001-n"),
"example": w.synset("test-en-0002-n"),
"sample": w.synset("test-en-0004-n"),
"random sample": w.synset("test-en-0005-n"),
"random sample2": w.synset("test-en-0008-n"),
"datum": w.synset("test-en-0006-n"),
"exemplify": w.synset("test-en-0003-v"),
}
# some fake information content; computed using:
# words = ['example', 'example', 'sample', 'random sample', 'illustrate']
# ic = compute(words, wn.Wordnet('test-en'), distribute_weight=False)
ic = {
"n": {
"test-en-0001-n": 5.0, # information
"test-en-0002-n": 5.0, # example, illustration
"test-en-0004-n": 3.0, # sample
"test-en-0005-n": 2.0, # random sample
"test-en-0008-n": 2.0, # random sample 2
"test-en-0006-n": 1.0, # datum
None: 6.0,
},
"v": {
"test-en-0003-v": 2.0, # exemplify, illustrate
"test-en-0007-v": 1.0, # resignate
None: 2.0,
},
"a": {None: 1.0},
"r": {None: 1.0},
}
@pytest.mark.usefixtures("mini_db")
def test_path():
ss = get_synsets(wn.Wordnet("test-en"))
assert sim.path(ss["information"], ss["information"]) == 1 / 1
assert sim.path(ss["information"], ss["example"]) == 1 / 2
assert sim.path(ss["information"], ss["sample"]) == 1 / 3
assert sim.path(ss["information"], ss["random sample"]) == 1 / 4
assert sim.path(ss["random sample"], ss["datum"]) == 1 / 5
assert sim.path(ss["random sample2"], ss["datum"]) == 0
assert sim.path(ss["random sample2"], ss["datum"], simulate_root=True) == 1 / 4
assert (
sim.path(ss["random sample"], ss["random sample2"], simulate_root=True) == 1 / 6
)
with pytest.raises(wn.Error):
sim.path(ss["example"], ss["exemplify"])
with pytest.raises(wn.Error):
sim.wup(ss["example"], ss["exemplify"], simulate_root=True)
@pytest.mark.usefixtures("mini_db")
def test_wup():
ss = get_synsets(wn.Wordnet("test-en"))
assert sim.wup(ss["information"], ss["information"]) == (2 * 1) / (0 + 0 + 2 * 1)
assert sim.wup(ss["information"], ss["example"]) == (2 * 1) / (0 + 1 + 2 * 1)
assert sim.wup(ss["information"], ss["sample"]) == (2 * 1) / (0 + 2 + 2 * 1)
assert sim.wup(ss["information"], ss["random sample"]) == (2 * 1) / (0 + 3 + 2 * 1)
assert sim.wup(ss["random sample"], ss["datum"]) == (2 * 1) / (3 + 1 + 2 * 1)
with pytest.raises(wn.Error):
assert sim.wup(ss["random sample2"], ss["datum"])
assert sim.wup(ss["random sample2"], ss["datum"], simulate_root=True) == (2 * 1) / (
1 + 2 + 2 * 1
)
assert sim.wup(ss["random sample"], ss["random sample2"], simulate_root=True) == (
2 * 1
) / (4 + 1 + 2 * 1)
with pytest.raises(wn.Error):
sim.wup(ss["example"], ss["exemplify"])
with pytest.raises(wn.Error):
sim.wup(ss["example"], ss["exemplify"], simulate_root=True)
@pytest.mark.usefixtures("mini_db")
def test_lch():
w = wn.Wordnet("test-en")
ss = get_synsets(w)
d_n = taxonomy_depth(w, "n")
assert sim.lch(ss["information"], ss["information"], d_n) == -log(
(0 + 1) / (2 * d_n)
)
assert sim.lch(ss["information"], ss["example"], d_n) == -log((1 + 1) / (2 * d_n))
assert sim.lch(ss["information"], ss["sample"], d_n) == -log((2 + 1) / (2 * d_n))
assert sim.lch(ss["information"], ss["random sample"], d_n) == -log(
(3 + 1) / (2 * d_n)
)
assert sim.lch(ss["random sample"], ss["datum"], d_n) == -log((4 + 1) / (2 * d_n))
with pytest.raises(wn.Error):
assert sim.lch(ss["random sample2"], ss["datum"], d_n)
assert sim.lch(ss["random sample2"], ss["datum"], d_n, simulate_root=True) == -log(
(3 + 1) / (2 * d_n)
)
assert sim.lch(
ss["random sample"], ss["random sample2"], d_n, simulate_root=True
) == -log((5 + 1) / (2 * d_n))
with pytest.raises(wn.Error):
sim.lch(ss["example"], ss["exemplify"], d_n)
with pytest.raises(wn.Error):
sim.lch(ss["example"], ss["exemplify"], d_n, simulate_root=True)
@pytest.mark.usefixtures("mini_db")
def test_res():
w = wn.Wordnet("test-en")
ss = get_synsets(w)
assert sim.res(ss["information"], ss["information"], ic) == infocont(
ss["information"], ic
)
assert sim.res(ss["information"], ss["example"], ic) == infocont(
ss["information"], ic
)
assert sim.res(ss["information"], ss["sample"], ic) == infocont(
ss["information"], ic
)
assert sim.res(ss["information"], ss["random sample"], ic) == infocont(
ss["information"], ic
)
assert sim.res(ss["random sample"], ss["datum"], ic) == infocont(
ss["information"], ic
)
with pytest.raises(wn.Error):
sim.res(ss["random sample2"], ss["datum"], ic)
with pytest.raises(wn.Error):
sim.res(ss["example"], ss["exemplify"], ic)
@pytest.mark.usefixtures("mini_db")
def test_jcn():
w = wn.Wordnet("test-en")
ss = get_synsets(w)
info_ic = infocont(ss["information"], ic)
assert sim.jcn(ss["information"], ss["information"], ic) == float("inf")
assert sim.jcn(ss["information"], ss["example"], ic) == float("inf")
assert sim.jcn(ss["information"], ss["sample"], ic) == 1 / (
(info_ic + infocont(ss["sample"], ic)) - 2 * info_ic
)
assert sim.jcn(ss["information"], ss["random sample"], ic) == 1 / (
(info_ic + infocont(ss["random sample"], ic)) - 2 * info_ic
)
assert sim.jcn(ss["random sample"], ss["datum"], ic) == 1 / (
(infocont(ss["random sample"], ic) + infocont(ss["datum"], ic)) - 2 * info_ic
)
with pytest.raises(wn.Error):
sim.jcn(ss["random sample2"], ss["datum"], ic)
with pytest.raises(wn.Error):
sim.jcn(ss["example"], ss["exemplify"], ic)
@pytest.mark.usefixtures("mini_db")
def test_lin():
w = wn.Wordnet("test-en")
ss = get_synsets(w)
info_ic = infocont(ss["information"], ic)
assert sim.lin(ss["information"], ss["information"], ic) == 1.0
assert sim.lin(ss["information"], ss["example"], ic) == 1.0
assert sim.lin(ss["information"], ss["sample"], ic) == (2 * info_ic) / (
info_ic + infocont(ss["sample"], ic)
)
assert sim.lin(ss["information"], ss["random sample"], ic) == (2 * info_ic) / (
info_ic + infocont(ss["random sample"], ic)
)
assert sim.lin(ss["random sample"], ss["datum"], ic) == (
(2 * info_ic) / (infocont(ss["random sample"], ic) + infocont(ss["datum"], ic))
)
with pytest.raises(wn.Error):
sim.lin(ss["random sample2"], ss["datum"], ic)
with pytest.raises(wn.Error):
sim.lin(ss["example"], ss["exemplify"], ic)
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