⚡️ Speed up function _cmpkey by 11%#16
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codeflash-ai[bot] wants to merge 1 commit intoopt-attempt-2from
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⚡️ Speed up function _cmpkey by 11%#16codeflash-ai[bot] wants to merge 1 commit intoopt-attempt-2from
_cmpkey by 11%#16codeflash-ai[bot] wants to merge 1 commit intoopt-attempt-2from
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The optimized code achieves an **11% speedup** through three strategic improvements: ## 1. Fast-Path Optimization in `_strip_trailing_zeros` (Primary Speedup) The original code always iterates backward through the tuple. The optimization adds: - **Early return for empty tuples** (avoids iteration setup) - **Fast-path check**: If the last element is non-zero (common case), return immediately without iteration - **Cached length**: Avoids repeated `len()` calls **Why this matters**: Test results show significant gains when trailing zeros are absent: - `test_large_scale_release_1000_elements` (last element non-zero): **63.8% faster** (1.50μs → 916ns) - `test_basic_no_pre_post_dev_local`: **57.2% faster** (2.29μs → 1.46μs) - Versions with trailing zeros show minimal regression (1-2%), indicating the fast-path successfully handles the common case ## 2. Type Check Optimization: `type(i) is int` vs `isinstance(i, int)` Replaced `isinstance(i, int)` with `type(i) is int` in the local segment parsing. **Why this is faster**: `type(i) is int` performs a direct identity comparison, while `isinstance()` checks the entire class hierarchy. Since the type hints guarantee exact types (`Union[int, str]`), we can use the faster check. Tests with local segments show consistent improvements: - `test_edge_local_all_strs`: **30.3% faster** (57.4μs → 44.0μs) - `test_edge_local_mixed_types`: **40.0% faster** (2.33μs → 1.67μs) ## 3. Streamlined Conditional Logic Restructured the pre/post/dev assignments: - **Nested conditionals for `_pre`**: Reduces redundant `post is None` checks by nesting the dev check - **Inline ternary expressions** for `_post` and `_dev`: More compact and eliminates branch prediction overhead **Impact**: Basic tests without complex segments show strong improvements (30-62% faster), while tests with all segments present show modest gains or slight regressions (controlled by local segment processing). ## Workload Impact Assessment Based on `function_references`, `_cmpkey` is called from `_key()` with caching, meaning it's invoked once per Version object creation. The optimization benefits: - **Version parsing in hot paths** (e.g., dependency resolution, package comparisons) - **Workloads processing many versions** where the fast-path handles versions without trailing zeros (most semantic versions like "1.2.3") - **Scenarios with local version identifiers** (e.g., "1.2.3+local.build"), where the type check optimization provides 13-40% gains The optimization is particularly effective for typical semantic versions (no trailing zeros, minimal local segments) while maintaining acceptable performance for edge cases with extensive trailing zeros or large local segments.
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📄 11% (0.11x) speedup for
_cmpkeyinsrc/packaging/version.py⏱️ Runtime :
734 microseconds→660 microseconds(best of6runs)📝 Explanation and details
The optimized code achieves an 11% speedup through three strategic improvements:
1. Fast-Path Optimization in
_strip_trailing_zeros(Primary Speedup)The original code always iterates backward through the tuple. The optimization adds:
len()callsWhy this matters: Test results show significant gains when trailing zeros are absent:
test_large_scale_release_1000_elements(last element non-zero): 63.8% faster (1.50μs → 916ns)test_basic_no_pre_post_dev_local: 57.2% faster (2.29μs → 1.46μs)2. Type Check Optimization:
type(i) is intvsisinstance(i, int)Replaced
isinstance(i, int)withtype(i) is intin the local segment parsing.Why this is faster:
type(i) is intperforms a direct identity comparison, whileisinstance()checks the entire class hierarchy. Since the type hints guarantee exact types (Union[int, str]), we can use the faster check. Tests with local segments show consistent improvements:test_edge_local_all_strs: 30.3% faster (57.4μs → 44.0μs)test_edge_local_mixed_types: 40.0% faster (2.33μs → 1.67μs)3. Streamlined Conditional Logic
Restructured the pre/post/dev assignments:
_pre: Reduces redundantpost is Nonechecks by nesting the dev check_postand_dev: More compact and eliminates branch prediction overheadImpact: Basic tests without complex segments show strong improvements (30-62% faster), while tests with all segments present show modest gains or slight regressions (controlled by local segment processing).
Workload Impact Assessment
Based on
function_references,_cmpkeyis called from_key()with caching, meaning it's invoked once per Version object creation. The optimization benefits:The optimization is particularly effective for typical semantic versions (no trailing zeros, minimal local segments) while maintaining acceptable performance for edge cases with extensive trailing zeros or large local segments.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
⏪ Click to see Replay Tests
test_benchmark_py__replay_test_0.py::test_src_packaging_version__cmpkey🔎 Click to see Concolic Coverage Tests
codeflash_concolic_ui1l843q/tmp8h843e1l/test_concolic_coverage.py::test__cmpkey_2To edit these changes
git checkout codeflash/optimize-_cmpkey-mjjkdxboand push.