v0.1.0-beta – First Prototype

First – learning is happening but currently slower than naive linear scan.

Real numbers (5k items, 20k Zipf queries α=1.5):
Naive: ~140 steps/query
CYLA: ~230–250 steps/query
→ -67% efficiency (1.67× slower)

Included:
• engine.py (core logic)
• test.py (passing tests)
• basic benchmark

Planned next: Neural Network Implementation
Feel free to share your ideas for next release
@Elitsuv