Runtime

[ss111628]

When consuming large lib files (~500MB) generated for modern processes (7nm and below) the runtime is very large - about 2 hours in my testcase for each lib file
Is there a way to optimize the implementation to reduce runtime ?

Also, can you handle compressed (gziped) lib files natively ?

[mirkat1206]

The simpliest way is to wrap python into exe file first, then execute it.
Since python is an interpreted language, this way should speed up to some extend.

I am not an expert in python, so I don't really know exactly where I can optimize more.
Perhaps rewrite the whole project into other efficient language could help, like Rust or C++.

Or, if you could profile my code and find out which part is the most time-consuming part, I can see if I can do anything.

Handling compressed lib files is a good idea.
But for now, I do not plan to develop this repo further.