⚡️ Speed up method GlobalGeodetic.PixelsToTile by 15%#21
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⚡️ Speed up method GlobalGeodetic.PixelsToTile by 15%#21codeflash-ai[bot] wants to merge 1 commit into
GlobalGeodetic.PixelsToTile by 15%#21codeflash-ai[bot] wants to merge 1 commit into
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The optimization achieves a **15% speedup** by eliminating redundant computations and attribute lookups in the frequently called `PixelsToTile` method: **Key optimizations:** 1. **Eliminated redundant `float()` calls**: The original code called `float(self.tileSize)` twice per method invocation (once for each axis). The optimized version stores `self.tileSize` in a local variable `ts` and lets Python handle implicit float conversion during division, avoiding the function call overhead. 2. **Reduced attribute lookups**: Instead of accessing `self.tileSize` twice per call, the optimized code accesses it once and stores it in the local variable `ts`. Attribute lookups are more expensive than local variable access in Python. 3. **Moved float conversion to initialization**: In `__init__`, the division is now performed with a pre-converted float value, eliminating code duplication between the two branches. **Why this works:** - Function calls like `float()` have overhead in Python's interpreter - Attribute lookups (`self.tileSize`) are slower than local variable access (`ts`) - The `math.ceil()` operation with division automatically handles the int-to-float conversion, making the explicit `float()` call unnecessary **Performance characteristics:** The optimization is most effective for: - **High-frequency tile calculations** (14-28% speedup across test cases) - **Large-scale mapping operations** where `PixelsToTile` is called thousands of times - **Any tile size**, though benefits are slightly more pronounced with standard sizes like 256x256 The line profiler shows the optimization successfully reduced per-hit execution time while maintaining identical mathematical behavior.
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📄 15% (0.15x) speedup for
GlobalGeodetic.PixelsToTileinopendm/tiles/gdal2tiles.py⏱️ Runtime :
125 microseconds→108 microseconds(best of132runs)📝 Explanation and details
The optimization achieves a 15% speedup by eliminating redundant computations and attribute lookups in the frequently called
PixelsToTilemethod:Key optimizations:
Eliminated redundant
float()calls: The original code calledfloat(self.tileSize)twice per method invocation (once for each axis). The optimized version storesself.tileSizein a local variabletsand lets Python handle implicit float conversion during division, avoiding the function call overhead.Reduced attribute lookups: Instead of accessing
self.tileSizetwice per call, the optimized code accesses it once and stores it in the local variablets. Attribute lookups are more expensive than local variable access in Python.Moved float conversion to initialization: In
__init__, the division is now performed with a pre-converted float value, eliminating code duplication between the two branches.Why this works:
float()have overhead in Python's interpreterself.tileSize) are slower than local variable access (ts)math.ceil()operation with division automatically handles the int-to-float conversion, making the explicitfloat()call unnecessaryPerformance characteristics:
The optimization is most effective for:
PixelsToTileis called thousands of timesThe line profiler shows the optimization successfully reduced per-hit execution time while maintaining identical mathematical behavior.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GlobalGeodetic.PixelsToTile-mh4zojevand push.