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test_tokenization_deberta.py
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Sat, Jul 5, 18:07

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

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