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chore: import upstream snapshot with attribution
2026-07-13 12:37:51 +08:00

48 lines
1.2 KiB
Python

import pytest
from spacy.lang.zh import Chinese
from ...util import make_tempdir
def zh_tokenizer_serialize(zh_tokenizer):
tokenizer_bytes = zh_tokenizer.to_bytes()
nlp = Chinese()
nlp.tokenizer.from_bytes(tokenizer_bytes)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
with make_tempdir() as d:
file_path = d / "tokenizer"
zh_tokenizer.to_disk(file_path)
nlp = Chinese()
nlp.tokenizer.from_disk(file_path)
assert tokenizer_bytes == nlp.tokenizer.to_bytes()
def test_zh_tokenizer_serialize_char(zh_tokenizer_char):
zh_tokenizer_serialize(zh_tokenizer_char)
def test_zh_tokenizer_serialize_jieba(zh_tokenizer_jieba):
zh_tokenizer_serialize(zh_tokenizer_jieba)
@pytest.mark.slow
def test_zh_tokenizer_serialize_pkuseg_with_processors(zh_tokenizer_pkuseg):
config = {
"nlp": {
"tokenizer": {
"@tokenizers": "spacy.zh.ChineseTokenizer",
"segmenter": "pkuseg",
}
},
"initialize": {
"tokenizer": {
"pkuseg_model": "medicine",
}
},
}
nlp = Chinese.from_config(config)
nlp.initialize()
zh_tokenizer_serialize(nlp.tokenizer)