⚡️ Speed up method GDAL2Tiles.generate_leaflet by 110%#29
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⚡️ Speed up method GDAL2Tiles.generate_leaflet by 110%#29codeflash-ai[bot] wants to merge 1 commit intomasterfrom
GDAL2Tiles.generate_leaflet by 110%#29codeflash-ai[bot] wants to merge 1 commit intomasterfrom
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The optimized code achieves a 109% speedup through several key improvements: **1. Efficient zoom parsing**: Replaced the `minmax.extend([''])` + slice pattern with direct conditional logic to parse min/max zoom values. This eliminates unnecessary list operations when splitting the zoom string. **2. Variable caching for repeated access**: Added local variables (`title`, `copyright`, `swne`) to cache frequently accessed object attributes, reducing attribute lookup overhead in the dictionary construction phase. **3. F-string conversion**: Replaced the expensive `% args` string formatting with f-string interpolation. F-strings are significantly faster for large template strings as they avoid the overhead of dictionary key lookups during formatting. **4. Reduced string operations**: By caching `title` and `copyright` in local variables, the `.replace()` calls are made on cached values rather than repeatedly accessing `self.options.title` and `self.options.copyright`. The test results show consistent 40-130% speedups across different scenarios, with the largest gains in cases with many repeated calls (like `test_large_scale_many_generate_leaflet_calls` showing 130% improvement). The optimizations are particularly effective for template-heavy operations where string formatting dominates the runtime, making this ideal for HTML generation workflows that call `generate_leaflet()` frequently.
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📄 110% (1.10x) speedup for
GDAL2Tiles.generate_leafletinopendm/tiles/gdal2tiles.py⏱️ Runtime :
662 microseconds→316 microseconds(best of13runs)📝 Explanation and details
The optimized code achieves a 109% speedup through several key improvements:
1. Efficient zoom parsing: Replaced the
minmax.extend([''])+ slice pattern with direct conditional logic to parse min/max zoom values. This eliminates unnecessary list operations when splitting the zoom string.2. Variable caching for repeated access: Added local variables (
title,copyright,swne) to cache frequently accessed object attributes, reducing attribute lookup overhead in the dictionary construction phase.3. F-string conversion: Replaced the expensive
% argsstring formatting with f-string interpolation. F-strings are significantly faster for large template strings as they avoid the overhead of dictionary key lookups during formatting.4. Reduced string operations: By caching
titleandcopyrightin local variables, the.replace()calls are made on cached values rather than repeatedly accessingself.options.titleandself.options.copyright.The test results show consistent 40-130% speedups across different scenarios, with the largest gains in cases with many repeated calls (like
test_large_scale_many_generate_leaflet_callsshowing 130% improvement). The optimizations are particularly effective for template-heavy operations where string formatting dominates the runtime, making this ideal for HTML generation workflows that callgenerate_leaflet()frequently.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-GDAL2Tiles.generate_leaflet-mh5qqordand push.