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This article mainly explains "how to use Laboratory Python". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn how to use Laboratory Python.

Laboratory is a Python library that handles refactoring critical paths.

Imagine that you are implementing a complex caching strategy, so how do you test to ensure that the data in the production environment is accurate under a certain amount of pressure?

Laboratory can:

Run both new and old code

Compare the results of different codes

Record the execution time of all code

Record the exception of the new code

Release the above information

Sample code:

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