wehub-resource-sync
83 lines
3.1 KiB
Python
83 lines
3.1 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# 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 unittest
|
|
|
|
from paddlenlp.transformers import XLMRobertaTokenizer
|
|
|
|
from ..test_tokenizer_common import TokenizerTesterMixin
|
|
|
|
# VOCAB_FILES_NAMES = XLMRobertaTokenizer.resource_files_names
|
|
|
|
|
|
class XLMRobertaTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
|
|
test_offsets = False
|
|
tokenizer_class = XLMRobertaTokenizer
|
|
|
|
# Set up method called before each test
|
|
def setUp(self):
|
|
super().setUp()
|
|
self.vocab_file = "BAAI/bge-m3"
|
|
self.special_tokens_map = {"unk_token": "<unk>"}
|
|
|
|
# Method to get a tokenizer instance with specified keyword arguments
|
|
def get_tokenizer(self, **kwargs):
|
|
kwargs.update(self.special_tokens_map)
|
|
return XLMRobertaTokenizer.from_pretrained(self.vocab_file, **kwargs)
|
|
|
|
# Test method to check tokenization
|
|
def test_tokenization(self):
|
|
tokenizer = self.get_tokenizer()
|
|
text = "Hello, how are you?"
|
|
tokens = tokenizer.tokenize(text)
|
|
self.assertIsInstance(tokens, list)
|
|
self.assertGreater(len(tokens), 0)
|
|
|
|
# Test method to check conversion of token to ID
|
|
def test_token_to_id(self):
|
|
tokenizer = self.get_tokenizer()
|
|
token = "Hello"
|
|
token_id = tokenizer.convert_tokens_to_ids(token)
|
|
self.assertIsInstance(token_id, int)
|
|
|
|
# Test method to check conversion of ID to token
|
|
def test_id_to_token(self):
|
|
tokenizer = self.get_tokenizer()
|
|
token_id = tokenizer.convert_tokens_to_ids("How")
|
|
token = tokenizer.convert_ids_to_tokens(token_id)
|
|
self.assertEqual(token, "How")
|
|
|
|
# Test method to check special tokens
|
|
def test_special_tokens(self):
|
|
tokenizer = self.get_tokenizer(
|
|
vocab_file=self.vocab_file, cls_token="<cls>", sep_token="<sep>", pad_token="<pad>"
|
|
)
|
|
self.assertEqual(tokenizer.cls_token, "<cls>")
|
|
self.assertEqual(tokenizer.sep_token, "<sep>")
|
|
self.assertEqual(tokenizer.pad_token, "<pad>")
|
|
|
|
# Test method to check building inputs with special tokens
|
|
def test_build_inputs_with_special_tokens(self):
|
|
tokenizer = self.get_tokenizer()
|
|
token_ids_0 = tokenizer.convert_tokens_to_ids(["Hello", "world"])
|
|
token_ids_1 = tokenizer.convert_tokens_to_ids(["How", "are", "you"])
|
|
|
|
input_ids = tokenizer.build_inputs_with_special_tokens(token_ids_0, token_ids_1)
|
|
self.assertEqual(input_ids[0], tokenizer.cls_token_id)
|
|
self.assertEqual(input_ids[-1], tokenizer.sep_token_id)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|