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)
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)