⚡️ Speed up method GDAL2Tiles.generate_openlayers by 8%
#30
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📄 8% (0.08x) speedup for
GDAL2Tiles.generate_openlayersinopendm/tiles/gdal2tiles.py⏱️ Runtime :
660 microseconds→613 microseconds(best of28runs)📝 Explanation and details
The optimized code achieves a 7% speedup by replacing inefficient string concatenation with a more performance-friendly approach using list accumulation and a single join operation.
Key optimizations applied:
Dictionary initialization consolidation: The
argsdictionary is now constructed in one go using dictionary literal syntax instead of individual key assignments, reducing dictionary operations from ~10 separate assignments to a single initialization.Conditional expression for
tmsoffset: Replaced an if-else block with a ternary expression ("-1" if self.options.tmscompatible else ""), eliminating a conditional branch.List-based string building: Instead of using repeated string concatenation (
s += ...), which creates new string objects each time, the optimized version useshtml_parts = []andhtml_parts.append()to collect string fragments, then performs a single''.join(html_parts)at the end.Profile variable caching: Stores
self.options.profilein a local variableprofileto avoid repeated attribute lookups in conditional statements.Why this is faster:
+=operation, leading to O(n²) behavior for n concatenationsprofile) is faster than repeated attribute access (self.options.profile)Performance characteristics:
The optimization shows consistent 6-14% improvements across test cases, with particularly strong gains for edge cases like empty strings (13.5% faster) and large-scale operations (12.5% faster for large tile sizes). This suggests the optimization scales well with both simple and complex HTML generation scenarios.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GDAL2Tiles.generate_openlayers-mh5qyktoand push.