⚡️ Speed up method GlobalMercator.TileBounds by 69%#17
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⚡️ Speed up method GlobalMercator.TileBounds by 69%#17codeflash-ai[bot] wants to merge 1 commit intomasterfrom
GlobalMercator.TileBounds by 69%#17codeflash-ai[bot] wants to merge 1 commit intomasterfrom
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The optimization achieves a 68% speedup through two key improvements: **1. Resolution Caching with Memoization** Added `_resolution_cache` dictionary to store computed resolution values per zoom level. Since `Resolution(zoom)` involves expensive division by `2**zoom`, caching eliminates redundant calculations when the same zoom level is accessed multiple times. The line profiler shows this dramatically reduces time spent in `Resolution()` calls. **2. TileBounds Method Restructuring** The original `TileBounds` made two separate calls to `PixelsToMeters`, each triggering a `Resolution(zoom)` lookup. The optimized version: - Calls `Resolution(zoom)` only once and stores the result - Performs the coordinate calculations inline using cached local variables (`ts`, `res`, `ox`) - Eliminates the overhead of 2 function calls and 4 parameter passing operations **Performance Impact by Test Case:** - **High-zoom scenarios** (zoom 8-10): 56-69% faster due to resolution caching benefits - **Repeated tile calculations**: 48-60% faster from reduced function call overhead - **Large-scale operations**: Most dramatic gains (68-69%) when processing many tiles at the same zoom level The optimizations are particularly effective for tile mapping applications where the same zoom levels are accessed frequently, making the resolution cache highly beneficial while the streamlined `TileBounds` reduces per-tile computation overhead.
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📄 69% (0.69x) speedup for
GlobalMercator.TileBoundsinopendm/tiles/gdal2tiles.py⏱️ Runtime :
2.02 milliseconds→1.20 milliseconds(best of398runs)📝 Explanation and details
The optimization achieves a 68% speedup through two key improvements:
1. Resolution Caching with Memoization
Added
_resolution_cachedictionary to store computed resolution values per zoom level. SinceResolution(zoom)involves expensive division by2**zoom, caching eliminates redundant calculations when the same zoom level is accessed multiple times. The line profiler shows this dramatically reduces time spent inResolution()calls.2. TileBounds Method Restructuring
The original
TileBoundsmade two separate calls toPixelsToMeters, each triggering aResolution(zoom)lookup. The optimized version:Resolution(zoom)only once and stores the resultts,res,ox)Performance Impact by Test Case:
The optimizations are particularly effective for tile mapping applications where the same zoom levels are accessed frequently, making the resolution cache highly beneficial while the streamlined
TileBoundsreduces per-tile computation overhead.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GlobalMercator.TileBounds-mh4jllz8and push.