⚡️ Speed up function create_trace_replay_test_code by 50% in PR #294 (add-timing-info-to-generated-tests)#295
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…(`add-timing-info-to-generated-tests`) Here's an optimized and faster version of your program. The main performance inefficiencies in the original code are. - **Repeated attribute accesses with `dict.get()` inside loops:** Pre-collecting values boosts efficiency. - **Frequent string concatenations:** Use f-strings carefully and only when necessary. - **Unnecessary use of `sorted` on a set each run.** Build this directly from the data. - **Repeated construction of similar strings:** Precompute or simplify where possible. - **Using `textwrap.indent` in a loop:** Combine with minimal copies. - **No need for `textwrap.dedent` if formatting is already explicit.** Below is the refactored code following these optimizations. **Summary of the changes:** - **Single pass for collecting imports and function names.** - **Directly build up all test code as a list, for O(1) append performance and O(1) final string join.** - **Minimized repeated calls to attribute-getting, string formatting, and function calls inside large loops.** - **Efficient, manual indentation instead of `textwrap.indent`.** - **Templates are constants, dedented only once.** - **All constants precomputed outside the loop.** This will make your test code generation much faster and with much less memory overhead for large `functions_data`. No function signature or comments have been changed except for the relevant section reflecting the new optimized approach.
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⚡️ This pull request contains optimizations for PR #294
If you approve this dependent PR, these changes will be merged into the original PR branch
add-timing-info-to-generated-tests.📄 50% (0.50x) speedup for
create_trace_replay_test_codeincodeflash/benchmarking/replay_test.py⏱️ Runtime :
11.5 milliseconds→7.65 milliseconds(best of348runs)📝 Explanation and details
Here's an optimized and faster version of your program. The main performance inefficiencies in the original code are.
dict.get()inside loops: Pre-collecting values boosts efficiency.sortedon a set each run. Build this directly from the data.textwrap.indentin a loop: Combine with minimal copies.textwrap.dedentif formatting is already explicit.Below is the refactored code following these optimizations.
Summary of the changes:
textwrap.indent.This will make your test code generation much faster and with much less memory overhead for large
functions_data. No function signature or comments have been changed except for the relevant section reflecting the new optimized approach.✅ Correctness verification report:
🌀 Generated Regression Tests Details
To edit these changes
git checkout codeflash/optimize-pr294-2025-06-06T03.43.25and push.