Implement optimized collision detection system using NumPy

- Introduced a hybrid collision detection approach that utilizes NumPy for vectorized operations, improving performance for games with many entities (200+).
- Added a spatial grid for efficient lookups and AABB (Axis-Aligned Bounding Box) collision detection.
- Implemented a new `CollisionSystem` class with methods for registering units, checking collisions, and managing spatial data.
- Created performance tests to benchmark the new collision system against the old O(n²) method, demonstrating significant speed improvements.
- Updated existing code to integrate the new collision detection system and ensure compatibility with game logic.

This commit is contained in:

John Doe

2025-10-24 19:13:30 +02:00

parent 47028c95ae

commit 12836dd2d2

17 changed files with 1591 additions and 64 deletions

requirements.txt

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@@ -1,3 +1,4 @@
 pysdl2
 Pillow
 pyaml
 pyaml
 numpy