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# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for rouge input/output library."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tempfile
from absl.testing import absltest
from rouge import io
from rouge import rouge_scorer
from rouge import scoring
from rouge import test_util
class IoTest(absltest.TestCase):
def testProducesValidOutput(self):
with tempfile.NamedTemporaryFile() as output_file:
output_filename = output_file.name
scorer = rouge_scorer.RougeScorer(["rouge1"], False)
io.compute_scores_and_write_to_csv(test_util.TARGETS_FILE,
test_util.PREDICTIONS_FILE,
output_filename, scorer,
scoring.BootstrapAggregator())
with open(output_filename) as f:
csv_lines = f.readlines()
output_types = tuple((line.split(",")[0] for line in csv_lines))
self.assertEqual(output_types[0], "score_type")
self.assertSameElements(output_types[1:],
["rouge1-P", "rouge1-R", "rouge1-F"])
def testUnAggregated(self):
with tempfile.NamedTemporaryFile() as output_file:
output_filename = output_file.name
scorer = rouge_scorer.RougeScorer(["rouge1"], False)
io.compute_scores_and_write_to_csv(test_util.TARGETS_FILE,
test_util.PREDICTIONS_FILE,
output_filename, scorer, None)
with open(output_filename) as f:
csv_lines = f.readlines()
ids = tuple((line.split(",")[0] for line in csv_lines))
self.assertEqual(ids[0], "id")
self.assertLen(csv_lines, 3)
def testDelimitedFile(self):
with tempfile.NamedTemporaryFile() as output_file:
output_filename = output_file.name
scorer = rouge_scorer.RougeScorer(["rouge1"], False)
io.compute_scores_and_write_to_csv(
test_util.DELIMITED_FILE,
test_util.DELIMITED_FILE,
output_filename,
scorer,
None,
delimiter=":")
with open(output_filename) as f:
csv_lines = f.readlines()
ids = tuple((line.split(",")[0] for line in csv_lines))
self.assertEqual(ids[0], "id")
self.assertLen(csv_lines, 5)
def testAssertsOnInvalidInputFiles(self):
scorer = rouge_scorer.RougeScorer(["rouge1"], False)
with self.assertRaises(ValueError):
io.compute_scores_and_write_to_csv("invalid*", "invalid*", "invalid",
scorer, scoring.BootstrapAggregator())
def testAssertsOnInvalidRougeTypes(self):
scorer = rouge_scorer.RougeScorer(["rougex"], False)
with self.assertRaises(ValueError):
io.compute_scores_and_write_to_csv(test_util.TARGETS_FILE,
test_util.PREDICTIONS_FILE, "", scorer,
scoring.BootstrapAggregator())
if __name__ == "__main__":
absltest.main()
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