Files
wehub-resource-sync 2aaeece67c
Codestyle Check / Lint (push) Has been cancelled
Codestyle Check / Check bypass (push) Has been cancelled
Pipelines-Test / Pipelines-Test (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

57 lines
1.7 KiB
Python

# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2020 The HuggingFace Team. 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 os
import unittest
from paddlenlp.transformers import FunnelTokenizer
from ..test_tokenizer_common import TokenizerTesterMixin
class TestTokenizationFunnel(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = FunnelTokenizer
test_offsets = False
def setUp(self):
super().setUp()
vocab_tokens = [
"<unk>",
"<cls>",
"<sep>",
"<pad>",
"<mask>",
"want",
"##want",
"##ed",
"wa",
"un",
"runn",
"##ing",
",",
"low",
"lowest",
]
self.vocab_file = os.path.join(self.tmpdirname, FunnelTokenizer.resource_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_input_output_texts(self, tokenizer):
input_text = "UNwant\u00E9d,running"
output_text = "unwanted, running"
return input_text, output_text