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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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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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Venom = VenomoussaversaiSelfEval() |
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Venom.report() |