⚡️ Speed up function getAutoLayoutComponentDimensions by 50%#43
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⚡️ Speed up function getAutoLayoutComponentDimensions by 50%#43codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
getAutoLayoutComponentDimensions by 50%#43codeflash-ai[bot] wants to merge 1 commit intoreleasefrom
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The optimized code achieves a **50% runtime improvement** (43.3μs → 28.9μs) by eliminating unnecessary variable mutations and redundant conditional checks. **Key optimizations:** 1. **Replaced mutable `let` variables with immutable `const` ternary expressions**: The original code initialized `left`, `right`, `top`, and `bottom` with desktop values, then conditionally reassigned them in a nested if-block. The optimized version uses single ternary expressions that directly compute the final value. This eliminates 4 variable initializations and up to 4 reassignments per call. 2. **Consolidated conditional logic**: Instead of checking `isMobile` once and then performing 4 separate conditional checks inside, the optimized version performs the complete condition (`isMobile && mobileValue !== undefined && parentSpace !== 1`) in one expression per dimension. This reduces branching overhead and makes the code more predictable for JavaScript engines' branch predictors. 3. **Improved JIT optimization potential**: By using `const` instead of `let`, the optimizer can better reason about value flow and eliminate dead code paths. Monomorphic inline caches can be established more easily when variables aren't mutated. **Why this matters for performance:** - **Reduced memory writes**: 4 fewer variable reassignments per invocation - **Better branch prediction**: Consolidated conditions are easier for the CPU to predict - **Faster variable lookups**: Constants are slightly cheaper than mutable bindings in JavaScript engines - **Eliminated unused imports**: Removed unused `GridDefaults`, `LayoutSystemTypes`, and `memo` imports, reducing module overhead **Test case performance:** The optimization shows consistent improvements across all test patterns: - Basic non-mobile cases: 12.7% faster - Mobile override cases: 8.1% faster - Edge cases with NaN handling: 89.8% faster - Performance loops (500 iterations): Maintains 6-8% per-call speedup - Large-scale tests show 68-95% improvements in aggregate The optimization particularly excels in scenarios with frequent function calls and varied input patterns, making it highly beneficial for layout calculation hot paths in UI rendering engines.
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📄 50% (0.50x) speedup for
getAutoLayoutComponentDimensionsinapp/client/src/layoutSystems/common/utils/ComponentSizeUtils.ts⏱️ Runtime :
43.3 microseconds→28.9 microseconds(best of250runs)📝 Explanation and details
The optimized code achieves a 50% runtime improvement (43.3μs → 28.9μs) by eliminating unnecessary variable mutations and redundant conditional checks.
Key optimizations:
Replaced mutable
letvariables with immutableconstternary expressions: The original code initializedleft,right,top, andbottomwith desktop values, then conditionally reassigned them in a nested if-block. The optimized version uses single ternary expressions that directly compute the final value. This eliminates 4 variable initializations and up to 4 reassignments per call.Consolidated conditional logic: Instead of checking
isMobileonce and then performing 4 separate conditional checks inside, the optimized version performs the complete condition (isMobile && mobileValue !== undefined && parentSpace !== 1) in one expression per dimension. This reduces branching overhead and makes the code more predictable for JavaScript engines' branch predictors.Improved JIT optimization potential: By using
constinstead oflet, the optimizer can better reason about value flow and eliminate dead code paths. Monomorphic inline caches can be established more easily when variables aren't mutated.Why this matters for performance:
GridDefaults,LayoutSystemTypes, andmemoimports, reducing module overheadTest case performance:
The optimization shows consistent improvements across all test patterns:
The optimization particularly excels in scenarios with frequent function calls and varied input patterns, making it highly beneficial for layout calculation hot paths in UI rendering engines.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-getAutoLayoutComponentDimensions-ml26sb2rand push.