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# coding=utf-8
# Copyright 2022 The OpenBMB Team and The HuggingFace Inc. 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 os
import unittest
from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow
from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class CPMAntTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = CpmAntTokenizer
test_rust_tokenizer = False
def setUp(self):
super().setUp()
vocab_tokens = [
"<d>",
"</d>",
"<s>",
"</s>",
"</_>",
"<unk>",
"<pad>",
"</n>",
"我",
"是",
"C",
"P",
"M",
"A",
"n",
"t",
]
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]))
@tooslow
def test_pre_tokenization(self):
tokenizer = CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
texts = "今天天气真好！"
jieba_tokens = ["今天", "天气", "真", "好", "！"]
tokens = tokenizer.tokenize(texts)
self.assertListEqual(tokens, jieba_tokens)
normalized_text = "今天天气真好！"
input_tokens = [tokenizer.bos_token] + tokens
input_jieba_tokens = [6, 9802, 14962, 2082, 831, 244]
self.assertListEqual(tokenizer.convert_tokens_to_ids(input_tokens), input_jieba_tokens)
reconstructed_text = tokenizer.decode(input_jieba_tokens)
self.assertEqual(reconstructed_text, normalized_text)
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