# src/config.py
from __future__ import annotations

# Paper Table 2: optimum K per performance trait
# K_BY_TARGET = {
#     "jump_power": 165,
#     "jump_accel": 29,
#     "bite": 57,
#     "jump_vel": 16,
#     "endurance": 154,
#     "sprint": 84,
#     "jump_distance": 46,
#     "distance_capacity": 25,  # paper calls this "Stamina"
#     "angle": 34,
# }

K_BY_TARGET = {
  "sprint": 80,
  "endurance": 80,
  "bite": 35,
  "distance_capacity": 95,
  "jump_distance": 35,
  "jump_vel": 5,
  "jump_accel": 20,
  "jump_power": 20,
  "angle": 65
}

N_SPLITS = 5
RANDOM_STATE = 42