import pytest import nlu @pytest.mark.parametrize("text", ["我喜欢美妆里面的碧唇果酸面膜!"]) def test_tokenizer_sentence(text): tokens = nlu.nlp(text) print (tokens) assert len(tokens['tokens']['words']) == 9 From the unit pytest above, the output is below if I run it: test_tokenizer.py::test_tokenizer_sentence[\u6211\u559c\u6b22\u7f8e\u5986\u91cc\u9762\u7684\u78a7\u5507\u679c\u9178\u9762\u819c!] PASSED [100%]{'text': '我喜欢美妆里面的碧唇果酸面膜!', 'tokens': {'words': ['我', '喜欢', '美妆', '里面', '的', '碧唇', '果酸', '面膜', '!']}} Is there a parameter of pytest.mark.parametrize that can make the unicode to be shown as valid Chinese characters? \u6211\u559c\u6b22\u7f8e\u5986\u91cc\u9762\u7684\u78a7\u5507\u679c\u9178\u9762\u819c! I am using pytest in PyCharm. Continue reading...