[Python] How to Cache Elements to increase the Runtime Performance with lxml Pythin Library

In the lxml.de website https://lxml.de/performance.html I see the following statement:

A way to improve the normal attribute access time is static instantiation of the Python objects, thus trading memory for speed. Just create a cache dictionary and run:

cache[root] = list(root.iter()) after parsing and:

del cache[root]

Can anyone provide me a suitable Python Code example about how these above mechanism can be used in a Python Function?

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