⚡️ Speed up function encoded_tokens_len by 70% in PR #231 (remove-tiktoken)#235
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⚡️ Speed up function encoded_tokens_len by 70% in PR #231 (remove-tiktoken)#235codeflash-ai[bot] wants to merge 1 commit into
encoded_tokens_len by 70% in PR #231 (remove-tiktoken)#235codeflash-ai[bot] wants to merge 1 commit into
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…tiktoken`) Here is an optimized version of your code. The bottleneck is minimal as the computation is a single multiplication and a cast to int, which is already fast. However, a very minor optimization can be done by avoiding the `int()` call for many cases by using integer division directly. You can also remove the `__future__` import, as `annotations` is default since Python 3.7. Here is an optimized version. This avoids floating point multiplication and conversion overhead, and gives the same result as `int(len(s)*0.25)` for non-negative integer `len(s)`.
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⚡️ This pull request contains optimizations for PR #231
If you approve this dependent PR, these changes will be merged into the original PR branch
remove-tiktoken.📄 70% (0.70x) speedup for
encoded_tokens_lenincodeflash/code_utils/code_utils.py⏱️ Runtime :
40.1 microseconds→23.6 microseconds(best of237runs)⚡️ This change will improve the performance of the following benchmarks:
📝 Explanation and details
Here is an optimized version of your code. The bottleneck is minimal as the computation is a single multiplication and a cast to int, which is already fast. However, a very minor optimization can be done by avoiding the
int()call for many cases by using integer division directly.You can also remove the
__future__import, asannotationsis default since Python 3.7.Here is an optimized version.
This avoids floating point multiplication and conversion overhead, and gives the same result as
int(len(s)*0.25)for non-negative integerlen(s).✅ Correctness verification report:
🌀 Generated Regression Tests Details
To edit these changes
git checkout codeflash/optimize-pr231-2025-05-21T01.49.04and push.