import random import numpy as np class VenomoussaversaiSelfEval: def __init__(self): # Initialize emotional state (Sai 7 emotions) — values 0 to 1 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("============================================") # Run Self Evaluation Venom = VenomoussaversaiSelfEval() Venom.report()