John McCardle
fcc0376f31
Benchmark suite measuring entity performance at scale: - B1: Entity creation (measures allocation overhead) - B2: Full iteration (measures cache locality) - B3: Single range query (measures O(n) scan cost) - B4: N×N visibility (the "what can everyone see" problem) - B5: Movement churn (baseline for spatial index overhead) Key findings at 2,000 entities on 100×100 grid: - Creation: 75k entities/sec - Range query: 0.05ms (O(n) - checks all entities) - N×N visibility: 128ms total (O(n²)) - EntityCollection iteration 60× slower than direct iteration Addresses #115, addresses #117 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| benchmarks | ||
| demo | ||
| geometry_demo | ||
| integration | ||
| notes | ||
| regression | ||
| unit | ||
| vllm_demo | ||
| run_tests.py | ||