class TestTransformer(object):
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(self.data_stream)
def test_close(self):
# Transformer.close should call its wrapped stream's close method
self.transformer.close()
assert self.data_stream.close_called
def test_reset(self):
# Transformer.reset should call its wrapped stream's reset method
self.transformer.reset()
assert self.data_stream.reset_called
def test_next_epoch(self):
# Transformer.next_epoch should call its wrapped stream's next_epoch
# method
self.transformer.next_epoch()
assert self.data_stream.next_epoch_called
def test_get_data_from_example_not_implemented(self):
self.transformer.batch_input = False
assert_raises(NotImplementedError, self.transformer.get_data)
def test_get_data_from_batch_not_implemented(self):
self.transformer.batch_input = True
assert_raises(NotImplementedError, self.transformer.get_data)
class TestTransformer(object):
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(self.data_stream)
def test_close(self):
# Transformer.close should call its wrapped stream's close method
self.transformer.close()
assert self.data_stream.close_called
def test_reset(self):
# Transformer.reset should call its wrapped stream's reset method
self.transformer.reset()
assert self.data_stream.reset_called
def test_next_epoch(self):
# Transformer.next_epoch should call its wrapped stream's next_epoch
# method
self.transformer.next_epoch()
assert self.data_stream.next_epoch_called
def test_get_data_from_example_not_implemented(self):
self.transformer.batch_input = False
assert_raises(NotImplementedError, self.transformer.get_data)
def test_get_data_from_batch_not_implemented(self):
self.transformer.batch_input = True
assert_raises(NotImplementedError, self.transformer.get_data)
class TestTransformer(object):
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(
self.data_stream, produces_examples=True)
def test_close(self):
# Transformer.close should call its wrapped stream's close method
self.transformer.close()
assert self.data_stream.close_called
def test_reset(self):
# Transformer.reset should call its wrapped stream's reset method
self.transformer.reset()
assert self.data_stream.reset_called
def test_next_epoch(self):
# Transformer.next_epoch should call its wrapped stream's next_epoch
# method
self.transformer.next_epoch()
assert self.data_stream.next_epoch_called
def test_value_error_on_request(self):
assert_raises(ValueError, self.transformer.get_data, [0, 1])
def test_batch_to_example_and_vice_versa_not_implemented(self):
self.transformer.produces_examples = False
self.transformer.get_epoch_iterator()
assert_raises(NotImplementedError, self.transformer.get_data)
def test_transform_example_not_implemented_by_default(self):
assert_raises(
NotImplementedError, self.transformer.transform_example, None)
def test_transform_batch_not_implemented_by_default(self):
assert_raises(
NotImplementedError, self.transformer.transform_batch, None)
class TestTransformer(object):
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(
self.data_stream, produces_examples=True)
def test_close(self):
# Transformer.close should call its wrapped stream's close method
self.transformer.close()
assert self.data_stream.close_called
def test_reset(self):
# Transformer.reset should call its wrapped stream's reset method
self.transformer.reset()
assert self.data_stream.reset_called
def test_next_epoch(self):
# Transformer.next_epoch should call its wrapped stream's next_epoch
# method
self.transformer.next_epoch()
assert self.data_stream.next_epoch_called
def test_value_error_on_request(self):
assert_raises(ValueError, self.transformer.get_data, [0, 1])
def test_batch_to_example_and_vice_versa_not_implemented(self):
self.transformer.produces_examples = False
self.transformer.get_epoch_iterator()
assert_raises(NotImplementedError, self.transformer.get_data)
def test_transform_example_not_implemented_by_default(self):
assert_raises(
NotImplementedError, self.transformer.transform_example, None)
def test_transform_batch_not_implemented_by_default(self):
assert_raises(
NotImplementedError, self.transformer.transform_batch, None)
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(self.data_stream)
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(
self.data_stream, produces_examples=True)
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(
self.data_stream, produces_examples=True)
def setUp(self):
self.data_stream = FlagDataStream(IterableDataset([1, 2, 3]))
self.transformer = Transformer(self.data_stream)
