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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 fr
try:
PATH = os.path.dirname(os.path.realpath(__file__))
except:
PATH = ""
#---------------------------------------------------------------------------------------------------
class TestInflection(unittest.TestCase):
def setUp(self):
pass
def test_predicative(self):
# Assert the accuracy of the predicative algorithm ("belles" => "beau").
from pattern.db import Datasheet
i, n = 0, 0
for pred, attr, tag in Datasheet.load(os.path.join(PATH, "corpora", "wordforms-fr-lexique.csv")):
if tag == "a":
if fr.predicative(attr) == pred:
i +=1
n += 1
self.assertTrue(float(i) / n > 0.95)
print("pattern.fr.predicative()")
def test_find_lemma(self):
# Assert the accuracy of the verb lemmatization algorithm.
i, n = 0, 0
for v1, v2 in fr.inflect.verbs.inflections.items():
if fr.inflect.verbs.find_lemma(v1) == v2:
i += 1
n += 1
self.assertTrue(float(i) / n > 0.80)
print("pattern.fr.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 fr.inflect.verbs.infinitives.items():
lexeme2 = fr.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.fr.inflect.verbs.find_lexeme()")
def test_conjugate(self):
# Assert different tenses with different conjugations.
for (v1, v2, tense) in (
(u"être", u"être", fr.INFINITIVE),
(u"être", u"suis", (fr.PRESENT, 1, fr.SINGULAR)),
(u"être", u"es", (fr.PRESENT, 2, fr.SINGULAR)),
(u"être", u"est", (fr.PRESENT, 3, fr.SINGULAR)),
(u"être", u"sommes", (fr.PRESENT, 1, fr.PLURAL)),
(u"être", u"êtes", (fr.PRESENT, 2, fr.PLURAL)),
(u"être", u"sont", (fr.PRESENT, 3, fr.PLURAL)),
(u"être", u"étant", (fr.PRESENT + fr.PARTICIPLE)),
(u"être", u"été", (fr.PAST + fr.PARTICIPLE)),
(u"être", u"étais", (fr.IMPERFECT, 1, fr.SINGULAR)),
(u"être", u"étais", (fr.IMPERFECT, 2, fr.SINGULAR)),
(u"être", u"était", (fr.IMPERFECT, 3, fr.SINGULAR)),
(u"être", u"étions", (fr.IMPERFECT, 1, fr.PLURAL)),
(u"être", u"étiez", (fr.IMPERFECT, 2, fr.PLURAL)),
(u"être", u"étaient", (fr.IMPERFECT, 3, fr.PLURAL)),
(u"être", u"fus", (fr.PRETERITE, 1, fr.SINGULAR)),
(u"être", u"fus", (fr.PRETERITE, 2, fr.SINGULAR)),
(u"être", u"fut", (fr.PRETERITE, 3, fr.SINGULAR)),
(u"être", u"fûmes", (fr.PRETERITE, 1, fr.PLURAL)),
(u"être", u"fûtes", (fr.PRETERITE, 2, fr.PLURAL)),
(u"être", u"furent", (fr.PRETERITE, 3, fr.PLURAL)),
(u"être", u"serais", (fr.CONDITIONAL, 1, fr.SINGULAR)),
(u"être", u"serais", (fr.CONDITIONAL, 2, fr.SINGULAR)),
(u"être", u"serait", (fr.CONDITIONAL, 3, fr.SINGULAR)),
(u"être", u"serions", (fr.CONDITIONAL, 1, fr.PLURAL)),
(u"être", u"seriez", (fr.CONDITIONAL, 2, fr.PLURAL)),
(u"être", u"seraient", (fr.CONDITIONAL, 3, fr.PLURAL)),
(u"être", u"serai", (fr.FUTURE, 1, fr.SINGULAR)),
(u"être", u"seras", (fr.FUTURE, 2, fr.SINGULAR)),
(u"être", u"sera", (fr.FUTURE, 3, fr.SINGULAR)),
(u"être", u"serons", (fr.FUTURE, 1, fr.PLURAL)),
(u"être", u"serez", (fr.FUTURE, 2, fr.PLURAL)),
(u"être", u"seront", (fr.FUTURE, 3, fr.PLURAL)),
(u"être", u"sois", (fr.PRESENT, 2, fr.SINGULAR, fr.IMPERATIVE)),
(u"être", u"soyons", (fr.PRESENT, 1, fr.PLURAL, fr.IMPERATIVE)),
(u"être", u"soyez", (fr.PRESENT, 2, fr.PLURAL, fr.IMPERATIVE)),
(u"être", u"sois", (fr.PRESENT, 1, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"sois", (fr.PRESENT, 2, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"soit", (fr.PRESENT, 3, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"soyons", (fr.PRESENT, 1, fr.PLURAL, fr.SUBJUNCTIVE)),
(u"être", u"soyez", (fr.PRESENT, 2, fr.PLURAL, fr.SUBJUNCTIVE)),
(u"être", u"soient", (fr.PRESENT, 3, fr.PLURAL, fr.SUBJUNCTIVE)),
(u"être", u"fusse", (fr.PAST, 1, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"fusses", (fr.PAST, 2, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"fût", (fr.PAST, 3, fr.SINGULAR, fr.SUBJUNCTIVE)),
(u"être", u"fussions", (fr.PAST, 1, fr.PLURAL, fr.SUBJUNCTIVE)),
(u"être", u"fussiez", (fr.PAST, 2, fr.PLURAL, fr.SUBJUNCTIVE)),
(u"être", u"fussent", (fr.PAST, 3, fr.PLURAL, fr.SUBJUNCTIVE))):
self.assertEqual(fr.conjugate(v1, tense), v2)
print("pattern.fr.conjugate()")
def test_lexeme(self):
# Assert all inflections of "être".
v = fr.lexeme(u"être")
self.assertEqual(v, [
u"être", u"suis", u"es", u"est", u"sommes", u"êtes", u"sont", u"étant", u"été",
u"fus", u"fut", u"fûmes", u"fûtes", u"furent",
u"étais", u"était", u"étions", u"étiez", u"étaient",
u"serai", u"seras", u"sera", u"serons", u"serez", u"seront",
u"serais", u"serait", u"serions", u"seriez", u"seraient",
u"sois", u"soyons", u"soyez", u"soit", u"soient",
u"fusse", u"fusses", u"fût", u"fussions", u"fussiez", u"fussent"
])
print("pattern.fr.inflect.lexeme()")
def test_tenses(self):
# Assert tense recognition.
self.assertTrue((fr.PRESENT, 3, fr.SG) in fr.tenses("est"))
self.assertTrue("2sg" in fr.tenses("es"))
print("pattern.fr.tenses()")
#---------------------------------------------------------------------------------------------------
class TestParser(unittest.TestCase):
def setUp(self):
pass
def test_find_prepositions(self):
v = fr.parser.parse("Parce que c'est comme ça.")
def test_find_lemmata(self):
# Assert lemmata for nouns, adjectives, verbs and determiners.
v = fr.parser.find_lemmata([
["Les", "DT"], ["chats", "NNS"], ["noirs", "JJ"], ["s'", "PRP"], [u"étaient", "VB"], ["assis", "VB"],
["sur", "IN"], ["le", "DT"], ["tapis", "NN"]])
self.assertEqual(v, [
["Les", "DT", "le"],
["chats", "NNS", "chat"],
["noirs", "JJ", "noir"],
["s'", "PRP", "se"],
[u"étaient", "VB", u"être"],
["assis", "VB", "asseoir"],
["sur", "IN", "sur"],
["le", "DT", "le"],
["tapis", "NN", "tapis"]])
print("pattern.fr.parser.find_lemmata()")
def test_parse(self):
# Assert parsed output with Penn Treebank II tags (slash-formatted).
# "le chat noir" is a noun phrase, "sur le tapis" is a prepositional noun phrase.
v = fr.parser.parse(u"Le chat noir s'était assis sur le tapis.")
self.assertEqual(v,
u"Le/DT/B-NP/O chat/NN/I-NP/O noir/JJ/I-NP/O " + \
u"s'/PRP/B-NP/O était/VB/B-VP/O assis/VBN/I-VP/O " + \
u"sur/IN/B-PP/B-PNP le/DT/B-NP/I-PNP tapis/NN/I-NP/I-PNP ././O/O"
)
print("pattern.fr.parser.parse()")
def test_tag(self):
# Assert [("le", "DT"), ("chat", "NN"), ("noir", "JJ")].
v = fr.tag("le chat noir")
self.assertEqual(v, [("le", "DT"), ("chat", "NN"), ("noir", "JJ")])
print("pattern.fr.tag()")
def test_command_line(self):
# Assert parsed output from the command-line (example from the documentation).
p = ["python", "-m", "pattern.fr", "-s", u"Le chat noir.", "-OTCRL"]
p = subprocess.Popen(p, stdout=subprocess.PIPE)
p.wait()
v = p.stdout.read()
v = v.strip()
self.assertEqual(v, "Le/DT/B-NP/O/O/le chat/NN/I-NP/O/O/chat noir/JJ/I-NP/O/O/noir ././O/O/O/.")
print("python -m pattern.fr")
#---------------------------------------------------------------------------------------------------
class TestSentiment(unittest.TestCase):
def setUp(self):
pass
def test_sentiment(self):
# Assert < 0 for negative adjectives and > 0 for positive adjectives.
self.assertTrue(fr.sentiment("fabuleux")[0] > 0)
self.assertTrue(fr.sentiment("terrible")[0] < 0)
# Assert the accuracy of the sentiment analysis.
# Given are the scores for 1,500 book reviews.
# The baseline should increase (not decrease) when the algorithm is modified.
from pattern.db import Datasheet
from pattern.metrics import test
reviews = []
for review, score in Datasheet.load(os.path.join(PATH, "corpora", "polarity-fr-amazon.csv")):
reviews.append((review, int(score) > 0))
A, P, R, F = test(lambda review: fr.positive(review), reviews)
#print(A, P, R, F)
self.assertTrue(A > 0.751)
self.assertTrue(P > 0.765)
self.assertTrue(R > 0.725)
self.assertTrue(F > 0.744)
print("pattern.fr.sentiment()")
def test_tokenizer(self):
# Assert that french sentiment() uses French tokenizer. ("t'aime" => "t' aime").
v1 = fr.sentiment("je t'aime")
v2 = fr.sentiment("je ne t'aime pas")
self.assertTrue(v1[0] > 0)
self.assertTrue(v2[0] < 0)
self.assertTrue(v1.assessments[0][0] == ["aime"])
self.assertTrue(v2.assessments[0][0] == ["ne", "aime"])
#---------------------------------------------------------------------------------------------------
def suite():
suite = unittest.TestSuite()
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestInflection))
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestParser))
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(TestSentiment))
return suite
if __name__ == "__main__":
unittest.TextTestRunner(verbosity=1).run(suite())
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