You can read the theory here: https://bbs.pinggu.org/thread-3129531-1-1.html (Chapter 9)
For Python code see this book: https://bbs.pinggu.org/thread-3593630-1-1.html (Chapter 12)
Also the arch library is good in practice: https://arch.readthedocs.io/en/latest/univariate/univariate.html
The link websites only offer you the software/algorithm/usage of the code, not the statistical theory about the hypothese testing, you might find the estimating and testing in the pdf as the following link.
The required parameters from the formula in the pdf would be provided by standard package from different software, such as R, python, Eview etc. Hopefully, it will help you to get start.
I think it is also important to answer "假设性检验具体指什么" before you build/test your model.
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