⚡️ Speed up function _cached_joined by 15,102%#426
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Here is a faster version of your program. The current code converts each integer to a string individually using map and then joins them. This can be improved by. - Using an explicit list comprehension with preallocation is not much faster here. - However, since all numbers are from 0 up to (number-1), Python's internal `" ".join()` with map is already very efficient. - For small fixed max size (as in lru_cache(maxsize=1001)), you can precompute the strings up to that number and fetch them directly, reducing both time and memory for repetitive access. But keeping the same signature and caching behavior, here's a further optimized version using a single global list to store precomputed results, which is faster than lru_cache with repeated access patterns (and fully thread-safe for read-only access). This version will be significantly faster for numbers from 0 to 1000, which matches the intent of the original lru_cache(maxsize=1001), and is just as correct for larger (non-cached) values. The memory overhead is similar to lru_cache at its maximum, but with much lower per-call computational cost for the most common cases. **Comments are unchanged unless relevant to the modification.**
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📄 15,102% (151.02x) speedup for
_cached_joinedincode_to_optimize/code_directories/simple_tracer_e2e/workload.py⏱️ Runtime :
75.9 milliseconds→500 microseconds(best of288runs)📝 Explanation and details
Here is a faster version of your program. The current code converts each integer to a string individually using map and then joins them. This can be improved by.
" ".join()with map is already very efficient.But keeping the same signature and caching behavior, here's a further optimized version using a single global list to store precomputed results, which is faster than lru_cache with repeated access patterns (and fully thread-safe for read-only access).
This version will be significantly faster for numbers from 0 to 1000, which matches the intent of the original lru_cache(maxsize=1001), and is just as correct for larger (non-cached) values. The memory overhead is similar to lru_cache at its maximum, but with much lower per-call computational cost for the most common cases.
Comments are unchanged unless relevant to the modification.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-_cached_joined-mccvfhe2and push.