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test_es.py
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# -*- coding: utf-8 -*-
import os, sys; sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
import unittest
import subprocess
from pattern import es
try:
PATH = os.path.dirname(os.path.realpath(__file__))
except:
PATH = ""
#---------------------------------------------------------------------------------------------------
class TestInflection(unittest.TestCase):
def setUp(self):
pass
def test_pluralize(self):
# Assert the accuracy of the pluralization algorithm.
from pattern.db import Datasheet
test = {}
for w, lemma, tag, f in Datasheet.load(os.path.join(PATH, "corpora", "wordforms-es-davies.csv")):
if tag == "n": test.setdefault(lemma, []).append(w)
i, n = 0, 0
for sg, pl in test.items():
pl = sorted(pl, key=len, reverse=True)[0]
if es.pluralize(sg) == pl:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.77)
print "pattern.es.pluralize()"
def test_singularize(self):
# Assert the accuracy of the singularization algorithm.
from pattern.db import Datasheet
test = {}
for w, lemma, tag, f in Datasheet.load(os.path.join(PATH, "corpora", "wordforms-es-davies.csv")):
if tag == "n": test.setdefault(lemma, []).append(w)
i, n = 0, 0
for sg, pl in test.items():
pl = sorted(pl, key=len, reverse=True)[0]
if es.singularize(pl) == sg:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.93)
print "pattern.es.singularize()"
def test_attributive(self):
# Assert "alto" => "altos" (masculine, plural), and others.
for lemma, inflected, gender in (
(u"alto", u"alto", es.MALE + es.SINGULAR),
(u"alto", u"altos", es.MALE + es.PLURAL),
(u"alto", u"alta", es.FEMALE + es.SINGULAR),
(u"alto", u"altas", es.FEMALE + es.PLURAL),
(u"verde", u"verdes", es.MALE + es.PLURAL),
(u"verde", u"verdes", es.FEMALE + es.PLURAL)):
v = es.attributive(lemma, gender)
self.assertEqual(v, inflected)
print "pattern.es.attributive()"
def test_predicative(self):
# Assert the accuracy of the predicative algorithm ("horribles" => "horrible").
from pattern.db import Datasheet
test = {}
for w, lemma, tag, f in Datasheet.load(os.path.join(PATH, "corpora", "wordforms-es-davies.csv")):
if tag == "j": test.setdefault(lemma, []).append(w)
i, n = 0, 0
for pred, attr in test.items():
attr = sorted(attr, key=len, reverse=True)[0]
if es.predicative(attr) == pred:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.92)
print "pattern.es.predicative()"
def test_find_lemma(self):
# Assert the accuracy of the verb lemmatization algorithm.
i, n = 0, 0
for v1, v2 in es.inflect.verbs.inflections.items():
if es.inflect.verbs.find_lemma(v1) == v2:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.80)
print "pattern.es.inflect.verbs.find_lemma()"
def test_find_lexeme(self):
# Assert the accuracy of the verb conjugation algorithm.
i, n = 0, 0
for v, lexeme1 in es.inflect.verbs.infinitives.items():
lexeme2 = es.inflect.verbs.find_lexeme(v)
for j in range(len(lexeme2)):
if lexeme1[j] == lexeme2[j]:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.85)
print "pattern.es.inflect.verbs.find_lexeme()"
def test_conjugate(self):
# Assert different tenses with different conjugations.
for (v1, v2, tense) in (
("ser", u"ser", es.INFINITIVE),
("ser", u"soy", (es.PRESENT, 1, es.SINGULAR)),
("ser", u"eres", (es.PRESENT, 2, es.SINGULAR)),
("ser", u"es", (es.PRESENT, 3, es.SINGULAR)),
("ser", u"somos", (es.PRESENT, 1, es.PLURAL)),
("ser", u"sois", (es.PRESENT, 2, es.PLURAL)),
("ser", u"son", (es.PRESENT, 3, es.PLURAL)),
("ser", u"siendo", (es.PRESENT + es.PARTICIPLE)),
("ser", u"sido", (es.PAST + es.PARTICIPLE)),
("ser", u"era", (es.IMPERFECT, 1, es.SINGULAR)),
("ser", u"eras", (es.IMPERFECT, 2, es.SINGULAR)),
("ser", u"era", (es.IMPERFECT, 3, es.SINGULAR)),
("ser", u"éramos", (es.IMPERFECT, 1, es.PLURAL)),
("ser", u"erais", (es.IMPERFECT, 2, es.PLURAL)),
("ser", u"eran", (es.IMPERFECT, 3, es.PLURAL)),
("ser", u"fui", (es.PRETERITE, 1, es.SINGULAR)),
("ser", u"fuiste", (es.PRETERITE, 2, es.SINGULAR)),
("ser", u"fue", (es.PRETERITE, 3, es.SINGULAR)),
("ser", u"fuimos", (es.PRETERITE, 1, es.PLURAL)),
("ser", u"fuisteis", (es.PRETERITE, 2, es.PLURAL)),
("ser", u"fueron", (es.PRETERITE, 3, es.PLURAL)),
("ser", u"sería", (es.CONDITIONAL, 1, es.SINGULAR)),
("ser", u"serías", (es.CONDITIONAL, 2, es.SINGULAR)),
("ser", u"sería", (es.CONDITIONAL, 3, es.SINGULAR)),
("ser", u"seríamos", (es.CONDITIONAL, 1, es.PLURAL)),
("ser", u"seríais", (es.CONDITIONAL, 2, es.PLURAL)),
("ser", u"serían", (es.CONDITIONAL, 3, es.PLURAL)),
("ser", u"seré", (es.FUTURE, 1, es.SINGULAR)),
("ser", u"serás", (es.FUTURE, 2, es.SINGULAR)),
("ser", u"será", (es.FUTURE, 3, es.SINGULAR)),
("ser", u"seremos", (es.FUTURE, 1, es.PLURAL)),
("ser", u"seréis", (es.FUTURE, 2, es.PLURAL)),
("ser", u"serán", (es.FUTURE, 3, es.PLURAL)),
("ser", u"sé", (es.PRESENT, 2, es.SINGULAR, es.IMPERATIVE)),
("ser", u"sed", (es.PRESENT, 2, es.PLURAL, es.IMPERATIVE)),
("ser", u"sea", (es.PRESENT, 1, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"seas", (es.PRESENT, 2, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"sea", (es.PRESENT, 3, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"seamos", (es.PRESENT, 1, es.PLURAL, es.SUBJUNCTIVE)),
("ser", u"seáis", (es.PRESENT, 2, es.PLURAL, es.SUBJUNCTIVE)),
("ser", u"sean", (es.PRESENT, 3, es.PLURAL, es.SUBJUNCTIVE)),
("ser", u"fuera", (es.PAST, 1, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"fueras", (es.PAST, 2, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"fuera", (es.PAST, 3, es.SINGULAR, es.SUBJUNCTIVE)),
("ser", u"fuéramos", (es.PAST, 1, es.PLURAL, es.SUBJUNCTIVE)),
("ser", u"fuerais", (es.PAST, 2, es.PLURAL, es.SUBJUNCTIVE)),
("ser", u"fueran", (es.PAST, 3, es.PLURAL, es.SUBJUNCTIVE))):
self.assertEqual(es.conjugate(v1, tense), v2)
print "pattern.es.conjugate()"
def test_lexeme(self):
# Assert all inflections of "ser".
v = es.lexeme("ser")
self.assertEqual(v, [
u'ser', u'soy', u'eres', u'es', u'somos', u'sois', u'son', u'siendo',
u'fui', u'fuiste', u'fue', u'fuimos', u'fuisteis', u'fueron', u'sido',
u'era', u'eras', u'éramos', u'erais', u'eran',
u'seré', u'serás', u'será', u'seremos', u'seréis', u'serán',
u'sería', u'serías', u'seríamos', u'seríais', u'serían',
u'sé', u'sed',
u'sea', u'seas', u'seamos', u'seáis', u'sean',
u'fuera', u'fueras', u'fuéramos', u'fuerais', u'fueran'
])
print "pattern.es.inflect.lexeme()"
def test_tenses(self):
# Assert tense recognition.
self.assertTrue((es.PRESENT, 3, es.SG) in es.tenses("es"))
self.assertTrue("2sg" in es.tenses("eres"))
# The CONDITIONAL is sometimes described as a mood,
# and sometimes as a tense of the indicative mood (e.g., in Spanish):
t1 = (es.CONDITIONAL, 1, es.SG)
t2 = (es.PRESENT, 1, es.SG, es.CONDITIONAL)
self.assertTrue("1sg->" in es.tenses(u"sería"))
self.assertTrue(t1 in es.tenses(u"sería"))
self.assertTrue(t2 in es.tenses(u"sería"))
self.assertTrue(t1 in es.tenses(es.conjugate("ser", mood=es.INDICATIVE, tense=es.CONDITIONAL)))
self.assertTrue(t2 in es.tenses(es.conjugate("ser", mood=es.CONDITIONAL)))
print "pattern.es.tenses()"
#---------------------------------------------------------------------------------------------------
class TestParser(unittest.TestCase):
def setUp(self):
pass
def test_find_lemmata(self):
# Assert lemmata for nouns, adjectives, verbs and determiners.
v = es.parser.find_lemmata([
["Los", "DT"], ["gatos", "NNS"], [u"negros", "JJ"], ["se", "PRP"], [u"sentó", "VB"],
["en", "IN"], ["la", "DT"], ["alfombra", "NN"]])
self.assertEqual(v, [
["Los", "DT", "el"],
["gatos", "NNS", "gato"],
["negros", "JJ", "negro"],
["se", "PRP", "se"],
[u"sentó", "VB", "sentar"],
["en", "IN", "en"],
["la", "DT", "el"],
["alfombra", "NN", "alfombra"]])
print "pattern.es.parser.find_lemmata()"
def test_parse(self):
# Assert parsed output with Penn Treebank II tags (slash-formatted).
# "el gato negro" is a noun phrase, "en la alfombra" is a prepositional noun phrase.
v = es.parser.parse(u"El gato negro se sentó en la alfombra.")
self.assertEqual(v, # XXX - shouldn't "se" be part of the verb phrase?
u"El/DT/B-NP/O gato/NN/I-NP/O negro/JJ/I-NP/O " + \
u"se/PRP/B-NP/O sentó/VB/B-VP/O " + \
u"en/IN/B-PP/B-PNP la/DT/B-NP/I-PNP alfombra/NN/I-NP/I-PNP ././O/O"
)
# Assert the accuracy of the Spanish tagger.
i, n = 0, 0
for sentence in open(os.path.join(PATH, "corpora", "tagged-es-wikicorpus.txt")).readlines():
sentence = sentence.decode("utf-8").strip()
s1 = [w.split("/") for w in sentence.split(" ")]
s2 = [[w for w, pos in s1]]
s2 = es.parse(s2, tokenize=False, tagset=es.PAROLE)
s2 = [w.split("/") for w in s2.split(" ")]
for j in range(len(s1)):
if s1[j][1] == s2[j][1]:
i += 1
n += 1
#print float(i) / n
self.assertTrue(float(i) / n > 0.92)
print "pattern.es.parser.parse()"
def test_tag(self):
# Assert [("el", "DT"), ("gato", "NN"), ("negro", "JJ")].
v = es.tag("el gato negro")
self.assertEqual(v, [("el", "DT"), ("gato", "NN"), ("negro", "JJ")])
print "pattern.es.tag()"
def test_command_line(self):
# Assert parsed output from the command-line (example from the documentation).
p = ["python", "-m", "pattern.es", "-s", "El gato negro.", "-OTCRL"]
p = subprocess.Popen(p, stdout=subprocess.PIPE)
p.wait()
v = p.stdout.read()
v = v.strip()
self.assertEqual(v, "El/DT/B-NP/O/O/el gato/NN/I-NP/O/O/gato negro/JJ/I-NP/O/O/negro ././O/O/O/.")
print "python -m pattern.es"
#---------------------------------------------------------------------------------------------------
def suite():
suite = unittest.TestSuite()
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestInflection))
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestParser))
return suite
if __name__ == "__main__":
unittest.TextTestRunner(verbosity=1).run(suite())