def execute(self):
super().execute()
Collector.collect(
self.get_int_value(Key.AMOUNT),
self.get_int_value(Key.SIZE),
self.arguments.get(Key.NAME),
self.arguments.get(Key.PATH),
)
def execute(self):
super().execute()
Collector.collect(
amount=self.get_int_value(Key.AMOUNT),
size=self.get_int_value(Key.SIZE),
name=self.arguments.get(Key.NAME),
path=self.arguments.get(Key.PATH),
)
def test_collect():
data = Collector.collect(5, 128, 'unlabeled_matrices',
'modules/shared/data/')
assert len(data) == 5
for matrix in data:
plt.spy(matrix.todense())
plt.show()
created_file = h5py.File('modules/shared/data/unlabeled_matrices.hdf5',
'r')
print(created_file['dense_matrices'])
def __register_output_service(self):
Collector.set_output_service(self.__output_service)
LabelingModule.set_output_service(self.__output_service)
TrainingModule.set_output_service(self.__output_service)
Classifier.set_output_service(self.__output_service)
def test_saver_has_calls(mocked_saver):
Collector.collect(5, 128, "name", " path")
mocked_saver.assert_called_once()
def test_collector_raises_exception_when_not_on_linux():
with pytest.raises(InvalidOSException):
Collector.collect(0, 0, "", "")
def test_collect():
data = Collector.collect(5, 128, 'unlabeled_matrices', 'data/')
assert len(data) == 5
created_file = h5py.File('data/unlabeled_matrices.hdf5', 'r')
print(created_file['dense_matrices'])