⚡️ Speed up method GDAL2Tiles.generate_openlayers by 8%#30
Open
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
Open
⚡️ Speed up method GDAL2Tiles.generate_openlayers by 8%#30codeflash-ai[bot] wants to merge 1 commit intomasterfrom
GDAL2Tiles.generate_openlayers by 8%#30codeflash-ai[bot] wants to merge 1 commit intomasterfrom
Conversation
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:** 1. **Dictionary initialization consolidation**: The `args` dictionary 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. 2. **Conditional expression for `tmsoffset`**: Replaced an if-else block with a ternary expression (`"-1" if self.options.tmscompatible else ""`), eliminating a conditional branch. 3. **List-based string building**: Instead of using repeated string concatenation (`s += ...`), which creates new string objects each time, the optimized version uses `html_parts = []` and `html_parts.append()` to collect string fragments, then performs a single `''.join(html_parts)` at the end. 4. **Profile variable caching**: Stores `self.options.profile` in a local variable `profile` to avoid repeated attribute lookups in conditional statements. **Why this is faster:** - String concatenation in Python creates new string objects for each `+=` operation, leading to O(n²) behavior for n concatenations - List append operations are O(1), and the final join is O(n), making the overall complexity O(n) - Fewer dictionary key assignments reduce overhead during initialization - Local variable access (`profile`) 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.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
📄 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.