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101 lines
4.0 KiB
Python
101 lines
4.0 KiB
Python
# Copyright 2023 The HuggingFace Inc. 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 json
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import os
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import unittest
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from functools import lru_cache
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from transformers import MgpstrTokenizer
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from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
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from transformers.testing_utils import require_tokenizers
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from ...test_tokenization_common import TokenizerTesterMixin, use_cache_if_possible
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@require_tokenizers
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class MgpstrTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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from_pretrained_id = "alibaba-damo/mgp-str-base"
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tokenizer_class = MgpstrTokenizer
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test_rust_tokenizer = False
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from_pretrained_kwargs = {}
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test_seq2seq = False
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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vocab = ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] # fmt: skip
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vocab_tokens = dict(zip(vocab, range(len(vocab))))
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cls.vocab_file = os.path.join(cls.tmpdirname, VOCAB_FILES_NAMES["vocab_file"])
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with open(cls.vocab_file, "w", encoding="utf-8") as fp:
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fp.write(json.dumps(vocab_tokens) + "\n")
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@classmethod
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@use_cache_if_possible
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@lru_cache(maxsize=64)
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def get_tokenizer(cls, pretrained_name=None, **kwargs):
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pretrained_name = pretrained_name or cls.tmpdirname
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return MgpstrTokenizer.from_pretrained(pretrained_name, **kwargs)
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def get_input_output_texts(self, tokenizer):
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input_text = "tester"
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output_text = "tester"
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return input_text, output_text
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@unittest.skip(reason="MGP-STR always lower cases letters.")
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def test_added_tokens_do_lower_case(self):
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pass
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def test_add_special_tokens(self):
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tokenizers = self.get_tokenizers(do_lower_case=False)
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for tokenizer in tokenizers:
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with self.subTest(f"{tokenizer.__class__.__name__}"):
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special_token = "[SPECIAL_TOKEN]"
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tokenizer.add_special_tokens({"cls_token": special_token})
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encoded_special_token = tokenizer.encode([special_token], add_special_tokens=False)
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self.assertEqual(len(encoded_special_token), 1)
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decoded = tokenizer.decode(encoded_special_token, skip_special_tokens=True)
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self.assertTrue(special_token not in decoded)
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def test_internal_consistency(self):
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tokenizers = self.get_tokenizers()
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for tokenizer in tokenizers:
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with self.subTest(f"{tokenizer.__class__.__name__}"):
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input_text, output_text = self.get_input_output_texts(tokenizer)
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tokens = tokenizer.tokenize(input_text)
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ids = tokenizer.convert_tokens_to_ids(tokens)
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ids_2 = tokenizer.encode(input_text, add_special_tokens=False)
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self.assertListEqual(ids, ids_2)
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tokens_2 = tokenizer.convert_ids_to_tokens(ids)
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self.assertNotEqual(len(tokens_2), 0)
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text_2 = tokenizer.decode(ids)
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self.assertIsInstance(text_2, str)
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self.assertEqual(text_2.replace(" ", ""), output_text)
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@unittest.skip(reason="MGP-STR tokenizer only handles one sequence.")
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def test_maximum_encoding_length_pair_input(self):
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pass
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@unittest.skip(reason="inputs cannot be pretokenized in MgpstrTokenizer")
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def test_pretokenized_inputs(self):
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pass
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