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_changed_types(self):
# Issue #24
for dataset in config['datasets']:
if 'changedtypes' not in dataset:
continue
for uri in dataset['uris']:
data = Data(uri)
types = dataset['changedtypes']
result = al.groupmeans(data, types['groups'], types['numbers'])
self.check_gain(result, types['groupmeans']['gain'], uri)
print('for %s on %s' % (dataset['table'], getengine(dataset['uris'])))
def test_gains_changed_types(self):
# Issue #24
for dataset in config['datasets']:
if 'changedtypes' not in dataset:
continue
for uri in dataset['uris']:
data = Data(uri)
types = dataset['changedtypes']
result = al.groupmeans(data, types['groups'], types['numbers'])
self.check_gain(result, types['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'])))