82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
# coding=utf-8
|
|
# Copyright 2018 The Google AI Language Team 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.
|
|
from __future__ import absolute_import, division, print_function, unicode_literals
|
|
|
|
import os
|
|
import unittest
|
|
import pytest
|
|
from io import open
|
|
|
|
from transformers import is_torch_available
|
|
|
|
if is_torch_available():
|
|
import torch
|
|
from transformers.tokenization_transfo_xl import TransfoXLTokenizer, VOCAB_FILES_NAMES
|
|
else:
|
|
pytestmark = pytest.mark.skip("Require Torch") # TODO: untangle Transfo-XL tokenizer from torch.load and torch.save
|
|
|
|
from .tokenization_tests_commons import CommonTestCases
|
|
|
|
class TransfoXLTokenizationTest(CommonTestCases.CommonTokenizerTester):
|
|
|
|
tokenizer_class = TransfoXLTokenizer if is_torch_available() else None
|
|
|
|
def setUp(self):
|
|
super(TransfoXLTokenizationTest, self).setUp()
|
|
|
|
vocab_tokens = [
|
|
"<unk>", "[CLS]", "[SEP]", "want", "unwanted", "wa", "un",
|
|
"running", ",", "low", "l",
|
|
]
|
|
self.vocab_file = os.path.join(self.tmpdirname, VOCAB_FILES_NAMES['vocab_file'])
|
|
with open(self.vocab_file, "w", encoding='utf-8') as vocab_writer:
|
|
vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
|
|
|
|
def get_tokenizer(self, **kwargs):
|
|
kwargs['lower_case'] = True
|
|
return TransfoXLTokenizer.from_pretrained(self.tmpdirname, **kwargs)
|
|
|
|
def get_input_output_texts(self):
|
|
input_text = u"<unk> UNwanted , running"
|
|
output_text = u"<unk> unwanted, running"
|
|
return input_text, output_text
|
|
|
|
def test_full_tokenizer(self):
|
|
tokenizer = TransfoXLTokenizer(vocab_file=self.vocab_file, lower_case=True)
|
|
|
|
tokens = tokenizer.tokenize(u"<unk> UNwanted , running")
|
|
self.assertListEqual(tokens, ["<unk>", "unwanted", ",", "running"])
|
|
|
|
self.assertListEqual(
|
|
tokenizer.convert_tokens_to_ids(tokens), [0, 4, 8, 7])
|
|
|
|
def test_full_tokenizer_lower(self):
|
|
tokenizer = TransfoXLTokenizer(lower_case=True)
|
|
|
|
self.assertListEqual(
|
|
tokenizer.tokenize(u" \tHeLLo ! how \n Are yoU ? "),
|
|
["hello", "!", "how", "are", "you", "?"])
|
|
|
|
def test_full_tokenizer_no_lower(self):
|
|
tokenizer = TransfoXLTokenizer(lower_case=False)
|
|
|
|
self.assertListEqual(
|
|
tokenizer.tokenize(u" \tHeLLo ! how \n Are yoU ? "),
|
|
["HeLLo", "!", "how", "Are", "yoU", "?"])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|