def test_reader__vectorize_empty(self):
"""Check vectorize method on the empty"""
reader = DSReader(dataset_empty_path)
reader.make_dictionary()
X, y = reader.vectorize()
self.assertEqual([], X.tolist())
self.assertEqual([], y.tolist())
def test_reader__split_test_and_train_data_zero_size(self):
"""Check split_test_and_train_data method with argument size equals to zero"""
reader = DSReader(dataset_split_path)
reader.make_dictionary()
X, y = reader.vectorize()
percent = 0
with self.assertRaises(Exception):
X_train, y_train, X_test, y_test = reader.split_train_and_test(
X, y, percent)
def test_reader__split_test_and_train_data_empty(self):
"""Check split_test_and_train_data method on the empty dataset"""
reader = DSReader(dataset_empty_path)
reader.make_dictionary()
X, y = reader.vectorize()
percent = 0.7
with self.assertRaises(Exception):
X_train, y_train, X_test, y_test = reader.split_train_and_test(
X, y, percent)
def test_reader__make_dictionary_valid(self):
"""Check make_dictionary method"""
result = [
"During", "this", "webinar", "we", "will", "cover", "what", "is",
"DevOps", "and", "Cloud", "Native", "New", "came", "up", "storage"
]
reader = DSReader(dataset_path)
reader.make_dictionary()
self.assertEqual(len(set(reader.dictionary)), len(result))
self.assertEqual(sorted(reader.dictionary), sorted(result))
def test_reader__split_test_and_train_data(self):
"""Check split_test_and_train_data method"""
reader = DSReader(dataset_split_path)
reader.make_dictionary()
X, y = reader.vectorize()
percent = 0.7
X_train, y_train, X_test, y_test = reader.split_train_and_test(
X, y, percent)
self.assertEqual(X_train.shape[0], X.shape[0] * percent)
self.assertEqual(X_test.shape[0], X.shape[0] * round(1 - percent, 2))
self.assertEqual(y_train.shape[0], y.shape[0] * percent)
self.assertEqual(y_test.shape[0], y.shape[0] * round(1 - percent, 2))
def test_reader__vectorize(self):
"""Check vectorize method"""
x_result = [
[
'During this webinar we will cover what is DevOps and Cloud Native'
], ['New webinar came up'],
[
'During this webinar we will cover what is DevOps and Cloud Native and storage'
]
]
y_result = [1, 1, 0]
reader = DSReader(dataset_path)
reader.make_dictionary()
X, y = reader.vectorize()
for i, row in enumerate(X):
self.assertEqual(x_result[i], row.tolist())
self.assertEqual(y_result, y.tolist())
def test_reader__make_dictionary_empty(self):
"""Check make_dictionary method on the empty dataset"""
reader = DSReader(dataset_empty_path)
reader.make_dictionary()
self.assertEqual(0, len(reader.dictionary))