# OpenKiwi: Open-Source Machine Translation Quality Estimation
# Copyright (C) 2019 Unbabel <openkiwi@unbabel.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
from torchtext import data
[docs]class AlignmentField(data.Field):
[docs] def process(self, batch, *args, **kwargs):
""" Process a list of examples to create a batch.
Postprocess the batch with user-provided Pipeline.
Args:
batch (list(object)): A list of object from a batch of examples.
Returns:
object: Processed object given the input and custom
postprocessing Pipeline.
"""
if self.postprocessing is not None:
batch = self.postprocessing(batch)
return batch