39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
# Copyright 2020 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import tempfile
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import unittest
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from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
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from transformers.testing_utils import slow
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from transformers.utils import cached_property
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@unittest.skipUnless(os.path.exists(DEFAULT_REPO), "Tatoeba directory does not exist.")
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class TatoebaConversionTester(unittest.TestCase):
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@cached_property
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def resolver(self):
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tmp_dir = tempfile.mkdtemp()
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return TatoebaConverter(save_dir=tmp_dir)
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@slow
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def test_resolver(self):
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self.resolver.convert_models(["heb-eng"])
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@slow
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def test_model_card(self):
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content, mmeta = self.resolver.write_model_card("opus-mt-he-en", dry_run=True)
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assert mmeta["long_pair"] == "heb-eng"
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