Upload __init__ (1) (1) (1).py
Browse files- __init__ (1) (1) (1).py +67 -0
__init__ (1) (1) (1).py
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import random
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import numpy as np
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class VenomoussaversaiSelfEval:
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def __init__(self):
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# Initialize emotional state (Sai 7 emotions) — values 0 to 1
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self.emotions = {
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"Sai001_Joy": random.random(),
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"Sai002_Sadness": random.random(),
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"Sai003_Anger": random.random(),
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"Sai004_Fear": random.random(),
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"Sai005_Love": random.random(),
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"Sai006_Creativity": random.random(),
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"Sai007_Calm": random.random(),
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}
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self.system_health = {
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"memory_accuracy": random.uniform(0.6, 1.0),
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"response_speed": random.uniform(0.6, 1.0),
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"logic_stability": random.uniform(0.6, 1.0),
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"ethical_alignment": random.uniform(0.6, 1.0)
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}
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self.goals = {
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"learn_new_data": random.uniform(0, 1),
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"assist_user": random.uniform(0, 1),
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"self_improve": random.uniform(0, 1)
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}
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def evaluate_emotions(self):
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balance = 1 - abs(self.emotions["Sai001_Joy"] - self.emotions["Sai004_Fear"])
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return max(min(balance, 1), 0)
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def evaluate_system(self):
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return sum(self.system_health.values()) / len(self.system_health)
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def evaluate_goals(self):
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return sum(self.goals.values()) / len(self.goals)
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def overall_score(self):
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emotional_score = self.evaluate_emotions()
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system_score = self.evaluate_system()
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goal_score = self.evaluate_goals()
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return np.mean([emotional_score, system_score, goal_score])
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def report(self):
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print("\n===== VENOMOUS SAVERSAI SELF EVALUATION =====")
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print("Emotional System Health:")
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for k,v in self.emotions.items():
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print(f" {k}: {v:.2f}")
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print("\nCore System Metrics:")
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for k,v in self.system_health.items():
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print(f" {k}: {v:.2f}")
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print("\nGoal Progress:")
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for k,v in self.goals.items():
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print(f" {k}: {v:.2f}")
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print("\n--------------------------------------------")
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print(f"✅ Overall Integrity Score: {self.overall_score():.2f}")
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print("============================================")
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# Run Self Evaluation
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Venom = VenomoussaversaiSelfEval()
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Venom.report()
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