Spaces:
Sleeping
Sleeping
Update codex/formulas.py
Browse files- codex/formulas.py +19 -2
codex/formulas.py
CHANGED
|
@@ -1,10 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
| 1 |
class Formula:
|
| 2 |
def __init__(self, expression):
|
| 3 |
self.expression = expression
|
| 4 |
|
| 5 |
def evaluate(self, agent):
|
| 6 |
-
#
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
GVU_FORMULAS = {
|
| 10 |
"Formula_20": Formula("−τ_eff / (τ_c + 19/20) ⋅ P_standard ⋅ τ_eff ⋅ ℯ ⋅ |grad_R_O − grad_T_P| / GVU")
|
|
|
|
| 1 |
+
# Author: Liam Grinstead
|
| 2 |
+
# Dynamic GVU-modulated fitness evaluation
|
| 3 |
+
|
| 4 |
class Formula:
|
| 5 |
def __init__(self, expression):
|
| 6 |
self.expression = expression
|
| 7 |
|
| 8 |
def evaluate(self, agent):
|
| 9 |
+
# Extract collapse torque score
|
| 10 |
+
torque_score = agent.get("collapse_overlay", {}).get("score", 10)
|
| 11 |
+
|
| 12 |
+
# Parse tier level from "Tier_X"
|
| 13 |
+
tier = agent.get("tier", "Tier_1")
|
| 14 |
+
tier_level = int(tier.split("_")[1]) if "_" in tier else 1
|
| 15 |
+
|
| 16 |
+
# Emotional resonance multiplier
|
| 17 |
+
resonance_bonus = 1.5 if agent.get("emotional_resonance") else 1.0
|
| 18 |
+
|
| 19 |
+
# Count symbolic operators
|
| 20 |
+
operator_count = len(agent.get("symbolic_operators", []))
|
| 21 |
+
|
| 22 |
+
# Final fitness score
|
| 23 |
+
score = (torque_score * resonance_bonus) + (tier_level * 0.75) + (operator_count * 0.1)
|
| 24 |
+
return round(score, 4)
|
| 25 |
|
| 26 |
GVU_FORMULAS = {
|
| 27 |
"Formula_20": Formula("−τ_eff / (τ_c + 19/20) ⋅ P_standard ⋅ τ_eff ⋅ ℯ ⋅ |grad_R_O − grad_T_P| / GVU")
|