Testing the compiler optimizations your code relies on

This article explains a method for testing whether specific compiler optimizations, such as converting an O(n) loop into a constant-time operation, are being applied to your code. It demonstrates the technique using Python with the Numba compiler, showing how to create tests that fail if a performance-critical optimization is missing, helping to catch performance regressions.

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