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Upload __init__ (1) (1) (1).py

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  1. __init__ (1) (1) (1).py +67 -0
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+ import random
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+ import numpy as np
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ def evaluate_goals(self):
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+ return sum(self.goals.values()) / len(self.goals)
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+
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+ # Run Self Evaluation
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+ Venom = VenomoussaversaiSelfEval()
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+ Venom.report()