def test_grammarizer_reset_definite_nouns(self):
paragraph = [
[Noun('money'), Verb('grab'), Noun('tea'), EXCLAMATION],
[Pronoun.IT, Verb('have', 'had'), Noun('watch'), PERIOD]
]
grammarizer = Grammarizer(paragraph)
grammarizer.generate_paragraph()
for noun_dict in grammarizer.noun_info.values():
self.assertTrue(noun_dict['definite'])
grammarizer.reset_definite_nouns()
for noun_dict in grammarizer.noun_info.values():
self.assertFalse(noun_dict['definite'])
def test_generate_paragraph_plural_countable_noun(self):
raw_paragraph = [[Noun('cat'), Verb('grab'), Noun('cat'), EXCLAMATION]]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0, probability_plural_noun=1.0)
paragraph = grammarizer.generate_paragraph()
expected = [[Noun('Cats', '', 'cat', tags=self.plural), Verb('grab'),
Noun('the cats', '', 'cat', tags=self.definite_plural), EXCLAMATION]]
self.assertEqual(paragraph, expected)
def test_generate_paragraph_present_tense_third_person_negative(self):
raw_paragraph = [
[Noun.uncountable_noun('water'), Verb('grab'), Noun.uncountable_noun('water'), EXCLAMATION],
[Noun('cat'), Verb('grab'), Noun('cat'), EXCLAMATION],
[Noun.proper_noun('Joe'), Verb('grab'), Noun('cat')]
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=1.0, probability_plural_noun=0.0)
paragraph = grammarizer.generate_paragraph()
target_verb = Verb("doesn't grab", '', 'grab', tags=self.negative_third_person)
for sentence in paragraph:
self.assertEqual(sentence[1], target_verb)
def test_generate_paragraph_uncountable_noun(self):
raw_paragraph = [
[Noun.uncountable_noun('water'), Verb('grab'), Noun.uncountable_noun('water'), PERIOD]
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0, probability_plural_noun=1.0)
paragraph = grammarizer.generate_paragraph()
expected = [[
Noun('Water', '', 'water', tags=self.uncountable), Verb('grabs', '', 'grab', tags=self.third_person),
Noun('the water', '', 'water', tags=self.definite_uncountable), PERIOD
]]
self.assertEqual(paragraph, expected)
def test_generate_paragraph_returns_sentences_with_capitals(self):
paragraph = [
[Noun('money'), Verb('grab'), Noun('tea'), EXCLAMATION],
[Noun('tea'), Verb('ride', 'rode', ''), Noun('apple'), PERIOD],
[Noun('apple'), Verb('surprise'), Noun('gold'), PERIOD],
[Noun.proper_noun('the Dude'), Verb('cut', 'cut', ''), Pronoun.IT, PERIOD],
[Pronoun.IT, Verb('have', 'had', ''), Noun('watch'), PERIOD]
]
grammarizer = Grammarizer(paragraph)
paragraph = grammarizer.generate_paragraph()
for sentence in paragraph:
self.assertIn(sentence[0].value[0], string.ascii_uppercase)
def test_generate_paragraph_present_tense_not_third_person_negative(self):
raw_paragraph = [[Noun('cat'), Verb('grab'), Noun('cat'), EXCLAMATION],
[Pronoun.I, Verb('grab'), Noun('cat'), EXCLAMATION],
[Pronoun.YOU, Verb('grab'), Noun('cat'), EXCLAMATION],
[Pronoun.WE, Verb('grab'), Noun('cat'), EXCLAMATION],
[Pronoun.THEY, Verb('grab'), Noun('cat'), EXCLAMATION],
[Noun.proper_noun('Taiwanese', plural=True), Verb('grab'), Noun('cat'), EXCLAMATION]
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=1.0, probability_plural_noun=1.0)
paragraph = grammarizer.generate_paragraph()
target_verb = Verb("don't grab", '', 'grab', tags=self.negative)
for sentence in paragraph:
self.assertEqual(sentence[1], target_verb)
def test_assign_negatives_no_negative(self):
raw_paragraph = 5 * [
[Noun.uncountable_noun('money'), Verb('grab'), Noun('cat'), EXCLAMATION],
[Noun('witch'), Verb('play'), Noun('dog'), PERIOD],
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0)
paragraph = grammarizer.generate_paragraph()
for sentence in paragraph:
for word in sentence:
if isinstance(word, Verb):
value = word.value
tests_false = value.startswith("don't ") or value.startswith("doesn't ")
self.assertFalse(tests_false)
def test_generate_paragraph_past_tense_positive(self):
raw_paragraph = [[Noun.uncountable_noun('water'), Verb('grab'), Noun('cat'), EXCLAMATION],
[Noun('cat'), Verb('eat', 'ate', ''), Noun('cat'), EXCLAMATION],
[Pronoun.I, Verb('sing', 'sang', ''), Noun('cat'), EXCLAMATION],
[Pronoun.YOU, Verb('grab'), Noun('cat'), EXCLAMATION],
[Pronoun.WE, Verb('sing', 'sang', ''), Noun('cat'), EXCLAMATION],
[Pronoun.THEY, Verb('eat', 'ate', ''), Noun('cat'), EXCLAMATION],
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0,
probability_plural_noun=1.0, present_tense=False)
paragraph = grammarizer.generate_paragraph()
target_verbs = [Verb('grabbed', '', 'grab', tags=self.past), Verb('ate', 'ate', 'eat', tags=self.past),
Verb('sang', 'sang', 'sing', tags=self.past)]
for sentence in paragraph:
self.assertIn(sentence[1], target_verbs)
def test_generate_paragraph_multiple_times_resets_indefinte(self):
raw_paragraph = [
[Noun.uncountable_noun('money'), Verb('grab'), Noun.uncountable_noun('money'), EXCLAMATION],
[Noun('cat'), Verb('grab'), Noun('cat'), EXCLAMATION],
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0, probability_plural_noun=0.0)
paragraph_1 = grammarizer.generate_paragraph()
paragraph_2 = grammarizer.generate_paragraph()
answer = [
[Noun.uncountable_noun('money').capitalize(), Verb('grabs', '', 'grab', tags=self.third_person),
Noun('the money', base='money', tags=self.definite_uncountable), EXCLAMATION],
[Noun('A cat', base='cat', tags=self.indefinite), Verb('grabs', '', 'grab', tags=self.third_person),
Noun('the cat', base='cat', tags=self.definite), EXCLAMATION]
]
self.assertEqual(answer, paragraph_1)
self.assertEqual(answer, paragraph_2)
def test_assign_negatives_some_negative(self):
random.seed(3)
raw_paragraph = 10 * [
[Noun.uncountable_noun('money'), Verb('grab'), Noun('cat'), EXCLAMATION],
]
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.5)
paragraph = grammarizer.generate_paragraph()
negatives = [1, 4, 5, 7, 8]
for index, sentence in enumerate(paragraph):
for word in sentence:
if isinstance(word, Verb):
value = word.value
is_negative = value.startswith("don't ") or value.startswith("doesn't ")
if index in negatives:
self.assertTrue(is_negative)
else:
self.assertFalse(is_negative)
def create_paragraph(self):
paragraph_generator = self._create_paragraph_generator()
paragraph_size = self._options['paragraph_size']
if self._options['paragraph_type'] == 'pool':
subj_pool = self._options['subject_pool']
raw_paragraph = paragraph_generator.create_pool_paragraph(
subj_pool, paragraph_size)
else:
raw_paragraph = paragraph_generator.create_chain_paragraph(
paragraph_size)
present_tense = self._get_present_tense_bool()
kwargs = self._get_kwargs('probability_plural_noun',
'probability_negative_verb')
grammarizer = Grammarizer(raw_paragraph,
present_tense=present_tense,
**kwargs)
return grammarizer.generate_paragraph()
def test_proper_noun_and_plural_proper_noun_do_not_change_except_capitalize(self):
raw_paragraph = [
[Noun.proper_noun('Joe'), Verb('grab'), Noun.proper_noun('the Guys', plural=True), PERIOD],
[Noun.proper_noun('the Guys', plural=True), Verb('grab'), Noun.proper_noun('Joe'), PERIOD],
]
expected = [
[Noun.proper_noun('Joe'), Verb('grabs', '', 'grab', tags=self.third_person),
Noun.proper_noun('the Guys', plural=True), PERIOD],
[Noun('The Guys', '', 'the Guys', tags=self.plural_proper),
Verb('grab'), Noun.proper_noun('Joe'), PERIOD],
]
for probility_plural in (0.0, 0.2, 0.5, 1.0):
grammarizer = Grammarizer(raw_paragraph, probability_negative_verb=0.0,
probability_plural_noun=probility_plural)
answer = grammarizer.generate_paragraph()
self.assertEqual(answer, expected)
def test_generate_paragraph_makes_nouns_indefinite_in_first_instance_and_definite_later(self):
raw_paragraph = 5 * [
[Noun('money'), Verb('grab'), Noun('cat'), EXCLAMATION],
[Noun('witch'), Verb('play'), Noun('dog'), PERIOD],
]
grammarizer = Grammarizer(raw_paragraph)
paragraph = grammarizer.generate_paragraph()
self.assertEqual(len(paragraph), 10)
indefinite_part = paragraph[:2]
definite_part = paragraph[2:]
for sentence in indefinite_part:
for word in sentence:
self.assertFalse(word.has_tags(WordTag.DEFINITE))
for sentence in definite_part:
for word in sentence:
if isinstance(word, Noun):
self.assertTrue(word.has_tags(WordTag.DEFINITE))