⚡️ Speed up function encoded_tokens_len by 39% in PR #231 (remove-tiktoken)#236
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⚡️ Speed up function encoded_tokens_len by 39% in PR #231 (remove-tiktoken)#236codeflash-ai[bot] wants to merge 1 commit into
encoded_tokens_len by 39% in PR #231 (remove-tiktoken)#236codeflash-ai[bot] wants to merge 1 commit into
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…tiktoken`) Here is an optimized version of your code. The multiplication and conversion to int are very fast, but calling `len()` on a Python string first computes the length. To minimize overhead, we can use integer arithmetic to avoid the float operations in `len(s)*0.3`. Multiplying by 0.3 is equivalent to multiplying by 3 and integer dividing by 10. Here's the optimized code. This avoids floating point multiplication and `int()` casting, and is slightly faster. All comments and signatures are preserved.
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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.📄 39% (0.39x) speedup for
encoded_tokens_lenincodeflash/code_utils/code_utils.py⏱️ Runtime :
42.8 microseconds→30.8 microseconds(best of277runs)⚡️ This change will improve the performance of the following benchmarks:
📝 Explanation and details
Here is an optimized version of your code.
The multiplication and conversion to int are very fast, but calling
len()on a Python string first computes the length.To minimize overhead, we can use integer arithmetic to avoid the float operations in
len(s)*0.3. Multiplying by 0.3 is equivalent to multiplying by 3 and integer dividing by 10.Here's the optimized code.
This avoids floating point multiplication and
int()casting, and is slightly faster.All comments and signatures are preserved.
✅ Correctness verification report:
🌀 Generated Regression Tests Details
To edit these changes
git checkout codeflash/optimize-pr231-2025-05-21T01.49.34and push.