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from math import log
import pytest
import wn
from wn import similarity as sim
from wn.taxonomy import taxonomy_depth
from wn.ic import information_content as infocont
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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