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"""
Unit tests for nltk.corpus.wordnet
See also nltk/test/wordnet.doctest
"""
import unittest
from nltk.corpus import wordnet as wn
from nltk.corpus import wordnet_ic as wnic
wn.ensure_loaded()
S = wn.synset
L = wn.lemma
class WordnNetDemo(unittest.TestCase):
def test_retrieve_synset(self):
move_synset = S("go.v.21")
self.assertEqual(move_synset.name(), "move.v.15")
self.assertEqual(move_synset.lemma_names(), ["move", "go"])
self.assertEqual(
move_synset.definition(), "have a turn; make one's move in a game"
)
self.assertEqual(move_synset.examples(), ["Can I go now?"])
def test_retrieve_synsets(self):
self.assertEqual(sorted(wn.synsets("zap", pos="n")), [S("zap.n.01")])
self.assertEqual(
sorted(wn.synsets("zap", pos="v")),
[S("microwave.v.01"), S("nuke.v.01"), S("zap.v.01"), S("zap.v.02")],
)
def test_hyperhyponyms(self):
# Not every synset as hypernyms()
self.assertEqual(S("travel.v.01").hypernyms(), [])
self.assertEqual(S("travel.v.02").hypernyms(), [S("travel.v.03")])
self.assertEqual(S("travel.v.03").hypernyms(), [])
# Test hyper-/hyponyms.
self.assertEqual(S("breakfast.n.1").hypernyms(), [S("meal.n.01")])
first_five_meal_hypo = [
S("banquet.n.02"),
S("bite.n.04"),
S("breakfast.n.01"),
S("brunch.n.01"),
S("buffet.n.02"),
]
self.assertEqual(sorted(S("meal.n.1").hyponyms()[:5]), first_five_meal_hypo)
self.assertEqual(S("Austen.n.1").instance_hypernyms(), [S("writer.n.01")])
first_five_composer_hypo = [
S("ambrose.n.01"),
S("bach.n.01"),
S("barber.n.01"),
S("bartok.n.01"),
S("beethoven.n.01"),
]
self.assertEqual(
S("composer.n.1").instance_hyponyms()[:5], first_five_composer_hypo
)
# Test root hyper-/hyponyms
self.assertEqual(S("person.n.01").root_hypernyms(), [S("entity.n.01")])
self.assertEqual(S("sail.v.01").root_hypernyms(), [S("travel.v.01")])
self.assertEqual(
S("fall.v.12").root_hypernyms(), [S("act.v.01"), S("fall.v.17")]
)
def test_derivationally_related_forms(self):
# Test `derivationally_related_forms()`
self.assertEqual(
L("zap.v.03.nuke").derivationally_related_forms(),
[L("atomic_warhead.n.01.nuke")],
)
self.assertEqual(
L("zap.v.03.atomize").derivationally_related_forms(),
[L("atomization.n.02.atomization")],
)
self.assertEqual(
L("zap.v.03.atomise").derivationally_related_forms(),
[L("atomization.n.02.atomisation")],
)
self.assertEqual(L("zap.v.03.zap").derivationally_related_forms(), [])
def test_meronyms_holonyms(self):
# Test meronyms, holonyms.
self.assertEqual(
S("dog.n.01").member_holonyms(), [S("canis.n.01"), S("pack.n.06")]
)
self.assertEqual(S("dog.n.01").part_meronyms(), [S("flag.n.07")])
self.assertEqual(S("faculty.n.2").member_meronyms(), [S("professor.n.01")])
self.assertEqual(S("copilot.n.1").member_holonyms(), [S("crew.n.01")])
self.assertEqual(
S("table.n.2").part_meronyms(),
[S("leg.n.03"), S("tabletop.n.01"), S("tableware.n.01")],
)
self.assertEqual(S("course.n.7").part_holonyms(), [S("meal.n.01")])
self.assertEqual(
S("water.n.1").substance_meronyms(), [S("hydrogen.n.01"), S("oxygen.n.01")]
)
self.assertEqual(
S("gin.n.1").substance_holonyms(),
[
S("gin_and_it.n.01"),
S("gin_and_tonic.n.01"),
S("martini.n.01"),
S("pink_lady.n.01"),
],
)
def test_antonyms(self):
# Test antonyms.
self.assertEqual(
L("leader.n.1.leader").antonyms(), [L("follower.n.01.follower")]
)
self.assertEqual(
L("increase.v.1.increase").antonyms(), [L("decrease.v.01.decrease")]
)
def test_misc_relations(self):
# Test misc relations.
self.assertEqual(S("snore.v.1").entailments(), [S("sleep.v.01")])
self.assertEqual(
S("heavy.a.1").similar_tos(),
[
S("dense.s.03"),
S("doughy.s.01"),
S("heavier-than-air.s.01"),
S("hefty.s.02"),
S("massive.s.04"),
S("non-buoyant.s.01"),
S("ponderous.s.02"),
],
)
self.assertEqual(S("light.a.1").attributes(), [S("weight.n.01")])
self.assertEqual(S("heavy.a.1").attributes(), [S("weight.n.01")])
# Test pertainyms.
self.assertEqual(
L("English.a.1.English").pertainyms(), [L("england.n.01.England")]
)
def test_lch(self):
# Test LCH.
self.assertEqual(
S("person.n.01").lowest_common_hypernyms(S("dog.n.01")),
[S("organism.n.01")],
)
self.assertEqual(
S("woman.n.01").lowest_common_hypernyms(S("girlfriend.n.02")),
[S("woman.n.01")],
)
def test_domains(self):
# Test domains.
self.assertEqual(S("code.n.03").topic_domains(), [S("computer_science.n.01")])
self.assertEqual(S("pukka.a.01").region_domains(), [S("india.n.01")])
self.assertEqual(S("freaky.a.01").usage_domains(), [S("slang.n.02")])
def test_in_topic_domains(self):
# Test in domains.
self.assertEqual(
S("computer_science.n.01").in_topic_domains()[0], S("access.n.05")
)
self.assertEqual(S("germany.n.01").in_region_domains()[23], S("trillion.n.02"))
self.assertEqual(S("slang.n.02").in_usage_domains()[1], S("airhead.n.01"))
def test_wordnet_similarities(self):
# Path based similarities.
self.assertAlmostEqual(S("cat.n.01").path_similarity(S("cat.n.01")), 1.0)
self.assertAlmostEqual(S("dog.n.01").path_similarity(S("cat.n.01")), 0.2)
self.assertAlmostEqual(
S("car.n.01").path_similarity(S("automobile.v.01")),
S("automobile.v.01").path_similarity(S("car.n.01")),
)
self.assertAlmostEqual(
S("big.a.01").path_similarity(S("dog.n.01")),
S("dog.n.01").path_similarity(S("big.a.01")),
)
self.assertAlmostEqual(
S("big.a.01").path_similarity(S("long.a.01")),
S("long.a.01").path_similarity(S("big.a.01")),
)
self.assertAlmostEqual(
S("dog.n.01").lch_similarity(S("cat.n.01")), 2.028, places=3
)
self.assertAlmostEqual(
S("dog.n.01").wup_similarity(S("cat.n.01")), 0.8571, places=3
)
self.assertAlmostEqual(
S("car.n.01").wup_similarity(S("automobile.v.01")),
S("automobile.v.01").wup_similarity(S("car.n.01")),
)
self.assertAlmostEqual(
S("big.a.01").wup_similarity(S("dog.n.01")),
S("dog.n.01").wup_similarity(S("big.a.01")),
)
self.assertAlmostEqual(
S("big.a.01").wup_similarity(S("long.a.01")),
S("long.a.01").wup_similarity(S("big.a.01")),
)
self.assertAlmostEqual(
S("big.a.01").lch_similarity(S("long.a.01")),
S("long.a.01").lch_similarity(S("big.a.01")),
)
# Information Content similarities.
brown_ic = wnic.ic("ic-brown.dat")
self.assertAlmostEqual(
S("dog.n.01").jcn_similarity(S("cat.n.01"), brown_ic), 0.4497, places=3
)
semcor_ic = wnic.ic("ic-semcor.dat")
self.assertAlmostEqual(
S("dog.n.01").lin_similarity(S("cat.n.01"), semcor_ic), 0.8863, places=3
)
def test_omw_lemma_no_trailing_underscore(self):
expected = sorted(
[
"popolna_sprememba_v_mišljenju",
"popoln_obrat",
"preobrat",
"preobrat_v_mišljenju",
]
)
self.assertEqual(sorted(S("about-face.n.02").lemma_names(lang="slv")), expected)
def test_iterable_type_for_all_lemma_names(self):
# Duck-test for iterables.
# See https://stackoverflow.com/a/36230057/610569
cat_lemmas = wn.all_lemma_names(lang="cat")
eng_lemmas = wn.all_lemma_names(lang="eng")
self.assertTrue(hasattr(eng_lemmas, "__iter__"))
self.assertTrue(hasattr(eng_lemmas, "__next__") or hasattr(eng_lemmas, "next"))
self.assertTrue(eng_lemmas.__iter__() is eng_lemmas)
self.assertTrue(hasattr(cat_lemmas, "__iter__"))
self.assertTrue(hasattr(cat_lemmas, "__next__") or hasattr(eng_lemmas, "next"))
self.assertTrue(cat_lemmas.__iter__() is cat_lemmas)
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