⚡ Optimize GeoJSON label parsing class mapping#47
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Optimized the class mapping logic in `parse_geojson` to reduce redundant dictionary lookups. In the common case where a label is already present in `class_map`, the number of lookups is reduced from two to one. Benchmark results (50,000 features): - Baseline Mean: 2.5618s - Optimized Mean: 2.4908s (~2.7% improvement) - Baseline Min: 2.4794s - Optimized Min: 2.4547s (~1.0% improvement) Co-authored-by: tahamukhtar20 <91777330+tahamukhtar20@users.noreply.github.com>
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💡 What
Optimized the class mapping logic in
parse_geojsonto reduce redundant dictionary lookups. The new implementation usesdict.get()to check for and retrieve the class ID in a single operation for existing labels.🎯 Why
The previous implementation performed up to three dictionary lookups per feature:
if label not in class_map(membership check)class_map[label] = len(class_map) + 1(assignment if missing)class_map[label](retrieval)By using
dict.get(), we reduce this to one lookup in the common case (when the label is already in the map) and two lookups when adding a new label.📊 Measured Improvement
Benchmarks were performed using 50,000 GeoJSON features with 100 unique classes.
The optimization provides a measurable speedup in parsing large GeoJSON files by minimizing dictionary overhead in the hot loop.
PR created automatically by Jules for task 17661455498106698696 started by @tahamukhtar20