def test_types(self):
for dataset in config['datasets']:
data = Data(os.path.join(_DATA_DIR, dataset['path']))
result = autolysis.types(data)
yield self.check_type, result, dataset['types'], dataset['table']
def test_detect_types(self):
for dataset in config['datasets']:
for uri in dataset['uris']:
data = Data(uri)
result = al.types(data)
self.check_type(result, dataset['types'], dataset['table'])
print('for %s on %s' % (dataset['table'], getengine(dataset['uris'])))
def test_detect_types(self):
for dataset in config['datasets']:
for uri in dataset['uris']:
data = Data(uri)
result = al.types(data)
self.check_type(result, dataset['types'], dataset['table'])
print('for %s on %s' %
(dataset['table'], getengine(dataset['uris'])))
def test_gains(self):
for dataset in config['datasets']:
for uri in dataset['uris']:
data = Data(uri)
types = al.types(data)
result = al.groupmeans(data, types['groups'], types['numbers'])
self.check_gain(result, dataset['groupmeans']['gain'], uri)
print('for %s on %s' %
(dataset['table'], getengine(dataset['uris'])))
def test_gains(self):
for dataset in config['datasets']:
for uri in dataset['uris']:
data = Data(uri)
types = al.types(data)
result = al.groupmeans(data, types['groups'], types['numbers'])
self.check_gain(result, dataset['groupmeans']['gain'], uri)
print('for %s on %s' % (dataset['table'], getengine(dataset['uris'])))
