feat(psf): complete high-integrity loop for advanced features
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def simulate_calculate_rate(executions, failures):
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if executions == 0:
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return 0
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return (failures / executions) * 100
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if __name__ == "__main__":
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print("--- Test 1: Healthy Skill ---")
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r1 = simulate_calculate_rate(100, 2)
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print(f"Rate: {r1}%")
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status1 = "PASS" if r1 == 2.0 else "FAIL"
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print("\n--- Test 2: Failing Skill (Threshold Breach) ---")
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r2 = simulate_calculate_rate(50, 25)
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print(f"Rate: {r2}%")
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status2 = "PASS" if r2 == 50.0 else "FAIL"
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print("\n--- Test 3: Zero Execution Grace ---")
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r3 = simulate_calculate_rate(0, 0)
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print(f"Rate: {r3}%")
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status3 = "PASS" if r3 == 0 else "FAIL"
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print(f"\nFinal Status: {'PASS' if all(s == 'PASS' for s in [status1, status2, status3]) else 'FAIL'}")
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