def test_percentage_punctuation(self):
test_sentences = [
("The cat sat on the hat.", float(1)/18),
(".", 1),
(" ", 0),
("", 0),
(test_text, 20.0/147)
]
for test_sentence, result in test_sentences:
analyse_result_dict = compute_fingerprint.analyze_text(util.tokenize_sentences(test_sentence))
percent_punctuation = analyse_result_dict['percentage_punctuation']
self.assertEquals(percent_punctuation, result, msg=(test_sentence, percent_punctuation, '!=', result))
def test_lexical_diversity(self):
test_sentences = [
("The quick brown cat jumped over the lazy dog.", float(8)/9),
("", 0),
(".", 0),
(" ", 0),
(test_text, 13.0/48)
]
for test_sentence, result in test_sentences:
analyse_result_dict = compute_fingerprint.analyze_text(util.tokenize_sentences(test_sentence))
lexical_diversity = analyse_result_dict['lexical_diversity']
self.assertEquals(lexical_diversity, result, msg=(test_sentence, lexical_diversity, '!=', result))
def test_average_word_length(self):
avg_word_length_cases = [
("The quick brown fox jumped over the lazy dog", 4),
("", 0),
(" ", 0),
(",", 0),
(test_text, 127.0/48)
]
for test_sentence, result in avg_word_length_cases:
analyse_result_dict = compute_fingerprint.analyze_text(util.tokenize_sentences(test_sentence))
avg_word_length = analyse_result_dict['avg_word_length']
self.assertEquals(avg_word_length, result, msg=(test_sentence, avg_word_length, '!=', result))
def test_average_sentence_length(self):
avg_sentence_length_cases = [
("The cat sat on the hat. The fox jumped.", 4.5),
("", 0),
("Alice.", 1),
("Mr. Smith went to work.", 5),
("'hi,' said Katie.", 3),
(test_text, 48.0/9)
]
for test_sentence, result in avg_sentence_length_cases:
analyse_result_dict = compute_fingerprint.analyze_text(util.tokenize_sentences(test_sentence))
avg_sentence_length = analyse_result_dict['avg_sentence_length']
self.assertEquals(avg_sentence_length, result, msg=(test_sentence, avg_sentence_length, '!=', result))