Testing the compiler optimizations your code relies on
Read OriginalThis 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.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Quoting Thariq Shihipar
Simon Willison
•
2 votes
2
Top picks — 2026 January
Paweł Grzybek
•
1 votes
3
In Praise of –dry-run
Henrik Warne
•
1 votes
4
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
5
Vibe coding your first iOS app
William Denniss
•
1 votes
6
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
7
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes