class TestDuplicate(object):
def setUp(self):
rng = numpy.random.RandomState(123)
self.stream = DataStream(
IndexableDataset(
OrderedDict([('features', rng.rand(4, 2, 2)),
('targets', numpy.array([0, 1, 0, 1]))]),
axis_labels={'features': ('batch', 'width', 'height'),
'targets': ('batch',)}),
iteration_scheme=SequentialScheme(4, 2))
self.duplicate = Duplicate(self.stream, 'features')
def test_init(self):
duplicate = Duplicate(self.stream)
assert_equal(duplicate.which_sources, self.stream.sources)
assert_equal(self.duplicate.which_sources, ['features'])
def test_sources(self):
assert_equal(self.duplicate.sources, ['features',
'features_duplicate',
'targets'])
def test_get_data(self):
self.duplicate.get_epoch_iterator()
assert_raises(ValueError, self.duplicate.get_data, **{'request': 'k'})
data = self.duplicate.get_data()
assert_equal(data[0], data[1])
class TestDuplicate(object):
def setUp(self):
rng = numpy.random.RandomState(123)
self.stream = DataStream(IndexableDataset(OrderedDict([
('features', rng.rand(4, 2, 2)),
('targets', numpy.array([0, 1, 0, 1]))
]),
axis_labels={
'features':
('batch', 'width',
'height'),
'targets': ('batch', )
}),
iteration_scheme=SequentialScheme(4, 2))
self.duplicate = Duplicate(self.stream, 'features')
def test_init(self):
duplicate = Duplicate(self.stream)
assert_equal(duplicate.which_sources, self.stream.sources)
assert_equal(self.duplicate.which_sources, ['features'])
def test_sources(self):
assert_equal(self.duplicate.sources,
['features', 'features_duplicate', 'targets'])
def test_get_data(self):
self.duplicate.get_epoch_iterator()
assert_raises(ValueError, self.duplicate.get_data, **{'request': 'k'})
data = self.duplicate.get_data()
assert_equal(data[0], data[1])
def setUp(self):
rng = numpy.random.RandomState(123)
self.stream = DataStream(IndexableDataset(OrderedDict([
('features', rng.rand(4, 2, 2)),
('targets', numpy.array([0, 1, 0, 1]))
]),
axis_labels={
'features':
('batch', 'width',
'height'),
'targets': ('batch', )
}),
iteration_scheme=SequentialScheme(4, 2))
self.duplicate = Duplicate(self.stream, 'features')
def setUp(self):
rng = numpy.random.RandomState(123)
self.stream = DataStream(
IndexableDataset(
OrderedDict([('features', rng.rand(4, 2, 2)),
('targets', numpy.array([0, 1, 0, 1]))]),
axis_labels={'features': ('batch', 'width', 'height'),
'targets': ('batch',)}),
iteration_scheme=SequentialScheme(4, 2))
self.duplicate = Duplicate(self.stream, 'features')
def test_init(self):
duplicate = Duplicate(self.stream)
assert_equal(duplicate.which_sources, self.stream.sources)
assert_equal(self.duplicate.which_sources, ['features'])
