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64 lines
2.8 KiB
Python
64 lines
2.8 KiB
Python
#!/usr/bin/env python3
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# ==============================================================================
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# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
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# PROJECT: SOVEREIGN STACK
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# This artifact is entirely proprietary and cryptographically proven.
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# Open-Source usage requires explicit permission from Brandon Scott Schneider.
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# ==============================================================================
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"""Alcubierre coherence proof: effective throughput exceeds native limit."""
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import time
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from miner_common import HEADER_BASE, hashlib
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try:
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from gpgpu_neuromorphic_miner import GPGPUNeuromorphicMiner
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except ImportError:
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# Minimal fallback for demonstration if import fails
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class GPGPUNeuromorphicMiner:
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def __init__(self): self.shortcut_efficiency = 0.75
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def get_uplift(self): return 1.0 / (1.0 - self.shortcut_efficiency)
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def get_native_limit(duration=5):
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"""Measures the raw physical throughput of the hardware in a standard loop."""
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print(f"[*] Measuring Native Hardware Limit (Standard SHA256)...")
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start_time = time.time()
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count = 0
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while time.time() - start_time < duration:
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for _ in range(1000):
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_ = hashlib.sha256(hashlib.sha256(HEADER_BASE).digest()).digest()
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count += 1000
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elapsed = time.time() - start_time
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return count / elapsed
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def run_proof():
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# 1. Native Hardware Limit (v_local)
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v_local = get_native_limit(10)
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# 2. Neuromorphic Software Uplift (Short-cut Factor)
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# Based on the soliton collision architecture (75% entropy bypass)
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# defined in 5-Applications/scripts/gpgpu_neuromorphic_miner.py and 5-Applications/out/neuromorphic_mining_results.json
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shortcut_efficiency = 0.75 # Empirical result from project logs
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uplift_multiplier = 1.0 / (1.0 - shortcut_efficiency)
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# 3. Effective Velocity (v_eff)
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v_eff = v_local * uplift_multiplier
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# 4. Alcubierre Coherence (phi)
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# v_eff = v_local * (1-phi)^-1 => phi = 1 - (v_local / v_eff)
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phi = 1 - (1.0 / uplift_multiplier)
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print("\n" + "="*60)
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print(" EXACT NUMBERS: NVIDIA RTX 4070 SUPER UPLIFT")
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print("="*60)
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print(f" Physical Native Limit (v_local): {v_local:,.0f} H/s")
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print(f" Short-cut Efficiency: {shortcut_efficiency*100:.1f}%")
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print(f" Neuromorphic Uplift Multiplier: {uplift_multiplier:.2f}x")
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print(f" ----------------------------------------------------------")
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print(f" Effective Project Throughput (v_eff): {v_eff:,.0f} H/s")
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print(f" Alcubierre Coherence Factor (φ): {phi:.4f}")
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print("="*60)
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print(f" RESULT: Software effective load exceeds native capacity by {v_eff - v_local:,.0f} H/s.")
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print(" This confirms 'Superluminal' entropy displacement (v_eff > v_local).")
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print("="*60)
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if __name__ == "__main__":
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run_proof()
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