def test_vector_lengths(self):
vectorizer = CharVectorizer("abc", map_unknown_chars_to="1",
fill_left_char="2", fill_right_char="3")
self.assertEquals(vectorizer.get_one_char_vector_length(),
len("abc123"))
self.assertEquals(vectorizer.get_vector_length(2),
len("abc123") * 2)
def test_vector_lengths(self):
vectorizer = CharVectorizer("abc",
map_unknown_chars_to="1",
fill_left_char="2",
fill_right_char="3")
self.assertEquals(vectorizer.get_one_char_vector_length(),
len("abc123"))
self.assertEquals(vectorizer.get_vector_length(2), len("abc123") * 2)
def test_sanity(self):
count_chars = 20
count_texts = 10
vectorizer = CharVectorizer(ALPHABET_LOWERCASE)
texts = create_random_texts(ALPHABET_LOWERCASE, count_chars,
count_texts)
matrix = vectorizer.transform(texts, count_chars)
ones = 0
zeros = 0
for cell in np.nditer(matrix):
if cell == 1:
ones += 1
else:
zeros += 1
self.assertEqual(ones, count_chars * count_texts)
self.assertEqual(ones + zeros,
vectorizer.get_one_char_vector_length()
* count_chars * count_texts)
def test_sanity(self):
count_chars = 20
count_texts = 10
vectorizer = CharVectorizer(ALPHABET_LOWERCASE)
texts = create_random_texts(ALPHABET_LOWERCASE, count_chars,
count_texts)
matrix = vectorizer.transform(texts, count_chars)
ones = 0
zeros = 0
for cell in np.nditer(matrix):
if cell == 1:
ones += 1
else:
zeros += 1
self.assertEqual(ones, count_chars * count_texts)
self.assertEqual(
ones + zeros,
vectorizer.get_one_char_vector_length() * count_chars *
count_texts)
