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from math import log
import pytest
import wn
import wn.ic
from wn.constants import ADJ, ADV, NOUN, VERB
from wn.util import synset_id_formatter
synset_id = {
"information": "test-en-0001-n",
"illustration_example": "test-en-0002-n",
"sample": "test-en-0004-n",
"random_sample": "test-en-0005-n",
"random_sample2": "test-en-0008-n", # no hypernyms
"datum": "test-en-0006-n",
"illustrate_exemplify": "test-en-0003-v",
"resignate": "test-en-0007-v",
}
words = [
"For",
"example",
":",
"random sample",
".",
"This",
"will",
"illustrate",
"and",
"exemplify",
".",
"A",
"sample",
"of",
"data",
".",
]
@pytest.mark.usefixtures("mini_db")
def test_compute_nodistribute_nosmoothing():
w = wn.Wordnet("test-en:1")
assert wn.ic.compute(words, w, distribute_weight=False, smoothing=0) == {
NOUN: {
synset_id["information"]: 4.0,
synset_id["illustration_example"]: 3.0,
synset_id["sample"]: 2.0,
synset_id["random_sample"]: 1.0,
synset_id["random_sample2"]: 1.0,
synset_id["datum"]: 1.0,
None: 5.0,
},
VERB: {
synset_id["illustrate_exemplify"]: 2.0,
synset_id["resignate"]: 0.0,
None: 2.0,
},
ADJ: {None: 0.0},
ADV: {None: 0.0},
}
@pytest.mark.usefixtures("mini_db")
def test_compute_nodistribute_smoothing():
w = wn.Wordnet("test-en:1")
assert wn.ic.compute(words, w, distribute_weight=False, smoothing=1.0) == {
NOUN: {
synset_id["information"]: 5.0,
synset_id["illustration_example"]: 4.0,
synset_id["sample"]: 3.0,
synset_id["random_sample"]: 2.0,
synset_id["random_sample2"]: 2.0,
synset_id["datum"]: 2.0,
None: 6.0,
},
VERB: {
synset_id["illustrate_exemplify"]: 3.0,
synset_id["resignate"]: 1.0,
None: 3.0,
},
ADJ: {None: 1.0},
ADV: {None: 1.0},
}
@pytest.mark.usefixtures("mini_db")
def test_compute_distribute_smoothing():
w = wn.Wordnet("test-en:1")
assert wn.ic.compute(words, w, distribute_weight=True, smoothing=1.0) == {
NOUN: {
synset_id["information"]: 4.5,
synset_id["illustration_example"]: 3.5,
synset_id["sample"]: 2.5,
synset_id["random_sample"]: 1.5,
synset_id["random_sample2"]: 1.5,
synset_id["datum"]: 2.0,
None: 5.0,
},
VERB: {
synset_id["illustrate_exemplify"]: 3.0,
synset_id["resignate"]: 1.0,
None: 3.0,
},
ADJ: {None: 1.0},
ADV: {None: 1.0},
}
@pytest.mark.usefixtures("mini_db")
def test_load(tmp_path):
w = wn.Wordnet("test-en:1")
icpath = tmp_path / "foo.dat"
icpath.write_text(
"wnver:1234567890AbCdEf\n"
"1n 4.0 ROOT\n"
"2n 3.0\n"
"4n 2.0\n"
"5n 1.0\n"
"8n 1.0 ROOT\n"
"6n 1.0\n"
"3v 2.0 ROOT\n"
"7v 0.0 ROOT\n"
)
get_synset_id = synset_id_formatter("test-en-{offset:04}-{pos}")
assert wn.ic.load(icpath, w, get_synset_id=get_synset_id) == wn.ic.compute(
words, w, distribute_weight=False, smoothing=0.0
)
@pytest.mark.usefixtures("mini_db")
def test_information_content():
w = wn.Wordnet("test-en:1")
ic = wn.ic.compute(words, w)
info = w.synsets("information")[0]
samp = w.synsets("sample")[0]
# info is a root but not the only one, so its IC is not 0.0
assert wn.ic.information_content(info, ic) == -log(ic["n"][info.id] / ic["n"][None])
assert wn.ic.information_content(samp, ic) == -log(ic["n"][samp.id] / ic["n"][None])
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