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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() |