def check_word_in_sentence(sentence):
doc = nlp(sentence)
tokenized = [token.text for token in doc]
awl_words = []
for word in tokenized:
if (check_word_in_list(word) is not None):
index = tokenized.index(word)
awl_words.append({
"index": index,
"word": word,
"meta": check_word_in_list(word)
})
else:
continue
return {"data": {"sentence": sentence, "awl_words": awl_words}}
def test_word_not_in_awl(self):
word = 'simple'
result = check_word_in_list(word)
self.assertEqual(result, None)
def test_list_input(self):
word = ['this', 'is', 'not', 'a', 'string']
result = check_word_in_list(word)
self.assertEqual(result, None)
def test_numeric_input(self):
word = 1234
result = check_word_in_list(word)
self.assertEqual(result, None)
def test_empty_input(self):
word = ''
result = check_word_in_list(word)
self.assertEqual(result, None)
def test_sublist_word_in_awl(self):
word = 'economical'
expected = {'head': 'economy', 'sublist': 1}
result = check_word_in_list(word)
self.assertEqual(expected, result)