75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
# coding=utf-8
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# Copyright 2018 Microsoft.
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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 re
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import unittest
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from typing import Tuple
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from transformers.testing_utils import require_torch
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from transformers.tokenization_deberta import DebertaTokenizer
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from .test_tokenization_common import TokenizerTesterMixin
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@require_torch
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class DebertaTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = DebertaTokenizer
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def setUp(self):
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super().setUp()
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def get_tokenizer(self, name="microsoft/deberta-base", **kwargs):
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return DebertaTokenizer.from_pretrained(name, **kwargs)
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def get_input_output_texts(self, tokenizer):
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input_text = "lower newer"
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output_text = "lower newer"
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return input_text, output_text
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def get_clean_sequence(self, tokenizer, with_prefix_space=False, max_length=20) -> Tuple[str, list]:
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toks = [
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(i, tokenizer.decode([i], clean_up_tokenization_spaces=False))
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for i in range(5, min(len(tokenizer), 50260))
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]
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toks = list(filter(lambda t: re.match(r"^[ a-zA-Z]+$", t[1]), toks))
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toks = list(filter(lambda t: [t[0]] == tokenizer.encode(t[1], add_special_tokens=False), toks))
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if max_length is not None and len(toks) > max_length:
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toks = toks[:max_length]
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# toks_str = [t[1] for t in toks]
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toks_ids = [t[0] for t in toks]
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# Ensure consistency
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output_txt = tokenizer.decode(toks_ids, clean_up_tokenization_spaces=False)
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if " " not in output_txt and len(toks_ids) > 1:
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output_txt = (
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tokenizer.decode([toks_ids[0]], clean_up_tokenization_spaces=False)
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+ " "
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+ tokenizer.decode(toks_ids[1:], clean_up_tokenization_spaces=False)
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)
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if with_prefix_space and not output_txt.startswith(" "):
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output_txt = " " + output_txt
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output_ids = tokenizer.encode(output_txt, add_special_tokens=False)
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return output_txt, output_ids
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def test_full_tokenizer(self):
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tokenizer = self.get_tokenizer("microsoft/deberta-base")
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input_str = "UNwant\u00E9d,running"
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tokens = tokenizer.tokenize(input_str)
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token_ids = tokenizer.convert_tokens_to_ids(tokens)
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self.assertEqual(tokenizer.decode(token_ids), input_str)
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