def test_attributes(self):
lang = Nlp('en')
treat = lang.attributes("I am a doggy !")
assert isinstance(treat, list)
assert treat[0] == [0, 1, 2, 3, 4]
assert treat[1] == ['I', 'am', 'a', 'doggy', '!']
assert treat[2] == ['nsubj', 'ROOT', 'det', 'attr', 'punct']
assert treat[3] == [True, True, True, True, False]
assert treat[4] == [False, False, False, False, True]
assert treat[5] == [False, False, False, False, False]
def test_french(self):
"""Test Nlp.french() returns a list"""
lang = Nlp('fr')
french = lang.french('Coucou, ça va ?')
assert isinstance(french, list)
def test_named_entities(self):
lang = Nlp('en')
treat = lang.named_entities('I work at Apple and Google')
assert treat == [('Apple', 'ORG'), ('Google', 'ORG')]
def test_percentages(self):
lang = Nlp('en')
treat = lang.check_percentages('hello, 50%')
assert treat == 'percentage : 50 %'
def test_get_slice(self):
"""Test Nlp.get_slice() returns str"""
lang = Nlp('en')
treat = lang.get_slice('Hello kitty cat', 1, 4)
assert isinstance(treat, str)
assert treat == 'kitty cat'
def test_get_index(self):
"""Test Nlp.get_index() returns str"""
lang = Nlp('en')
treat = lang.get_index('hi i am a kitty')
assert isinstance(treat, str)
def test_english(self):
"""Test Nlp.english() returns a list"""
lang = Nlp('en')
en = lang.english('hello, whats up ?')
assert isinstance(en, list)
from helloworld import Nlp
from match import Match
if __name__ == '__main__':
# init class with english or french language
# 'fr' or 'en'
nlp = Nlp(lang='en')
nlp_matcher = Match()
if nlp.lang == 'fr':
print(nlp.french('Bonjour, je suis un chaton'))
print(nlp.get_index("Chaton très mignon !"))
print(nlp.get_slice("Chaton très mignon !", 1, 4))
else:
print(nlp.english('Hi ! Im Abd'))
print(nlp.get_index("Cute Kitten !"))
print(nlp.get_slice("Cute Kitten !", 1, 4))
print(nlp.attributes("I am a doggy !"))
print(nlp.check_percentages('There is 90% of population that...'))
print(nlp.named_entities('I work at Google'))
nlp_matcher.process_pattern_on_input(
'Hello, I love to listen to Nina Simone !', [{
'TEXT': 'Nina'
}, {
'TEXT': 'Simone'
}])
nlp_matcher.match_lexical_attr('2018 FIFA World Cup: France won!')