| import random |
| import numpy as np |
|
|
| class VenomoussaversaiSelfEval: |
| def __init__(self): |
| |
| self.emotions = { |
| "Sai001_Joy": random.random(), |
| "Sai002_Sadness": random.random(), |
| "Sai003_Anger": random.random(), |
| "Sai004_Fear": random.random(), |
| "Sai005_Love": random.random(), |
| "Sai006_Creativity": random.random(), |
| "Sai007_Calm": random.random(), |
| } |
|
|
| self.system_health = { |
| "memory_accuracy": random.uniform(0.6, 1.0), |
| "response_speed": random.uniform(0.6, 1.0), |
| "logic_stability": random.uniform(0.6, 1.0), |
| "ethical_alignment": random.uniform(0.6, 1.0) |
| } |
|
|
| self.goals = { |
| "learn_new_data": random.uniform(0, 1), |
| "assist_user": random.uniform(0, 1), |
| "self_improve": random.uniform(0, 1) |
| } |
|
|
| def evaluate_emotions(self): |
| balance = 1 - abs(self.emotions["Sai001_Joy"] - self.emotions["Sai004_Fear"]) |
| return max(min(balance, 1), 0) |
|
|
| def evaluate_system(self): |
| return sum(self.system_health.values()) / len(self.system_health) |
|
|
| def evaluate_goals(self): |
| return sum(self.goals.values()) / len(self.goals) |
|
|
| def overall_score(self): |
| emotional_score = self.evaluate_emotions() |
| system_score = self.evaluate_system() |
| goal_score = self.evaluate_goals() |
| return np.mean([emotional_score, system_score, goal_score]) |
|
|
| def report(self): |
| print("\n===== VENOMOUS SAVERSAI SELF EVALUATION =====") |
| print("Emotional System Health:") |
| for k,v in self.emotions.items(): |
| print(f" {k}: {v:.2f}") |
|
|
| print("\nCore System Metrics:") |
| for k,v in self.system_health.items(): |
| print(f" {k}: {v:.2f}") |
|
|
| print("\nGoal Progress:") |
| for k,v in self.goals.items(): |
| print(f" {k}: {v:.2f}") |
|
|
| print("\n--------------------------------------------") |
| print(f"✅ Overall Integrity Score: {self.overall_score():.2f}") |
| print("============================================") |
|
|
|
|
| |
| Venom = VenomoussaversaiSelfEval() |
| Venom.report() |