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91 lines
3.7 KiB
Python
91 lines
3.7 KiB
Python
# ==============================================================================
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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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import time
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import sys
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import os
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from math_harness_compat import xp, AnyArray
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# =============================================================================
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# COLLECTIVE SUBSTRATE SIMULATION (ISA-COMPLIANT)
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# =============================================================================
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class CollectiveSubstrateSim:
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def __init__(self, size=10000):
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# Initialize nodes with Phonon Energy (Natural Frequency)
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self.nodes = []
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for i in range(size):
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# Each node is mapped to a unique vibrational mode
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freq = 1.0e12 + i * 1.5e6
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self.nodes.append({"id": i, "freq": freq, "data": f"state_{i}"})
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def retrieval_action(self, target_id):
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print(f"[*] INGEST_VIBRATION: target_id={target_id}")
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query_freq = 1.0e12 + target_id * 1.5e6
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start = time.perf_counter_ns()
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# RESONATE: The core retrieval action
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# In a real substrate, this is SPATIAL BROADCAST (Parallel)
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matches = []
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for node in self.nodes:
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# We measure resonance against the target query wave
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resonance = 1.0 - abs(node['freq'] - query_freq) / query_freq
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if resonance > 0.999999: # 6-nines lock
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matches.append((node, resonance))
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# OBSERVE_MODE: Measure the final amplitude (The "READ" action)
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result = None
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if matches:
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# Extract data from the most resonant node
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best_match = matches[0][0]
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result = best_match['data']
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end = time.perf_counter_ns()
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latency = (end - start) / 1000.0
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# CALCULATE_ENTROPY (Simplified)
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entropy = 0.5 if result else 1.0
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return result, latency, resonance, entropy
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# =============================================================================
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# COMPARISON RUNNER
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# =============================================================================
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def run_comparison(node_count=20000):
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print(f"--- RELATIONAL/NOSQL vs COLLECTIVE SUBSTRATE (Nodes: {node_count}) ---")
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# NoSQL Simulation
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data_map = {f"node_{i}": f"state_{i}" for i in range(node_count)}
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start_nosql = time.perf_counter_ns()
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res_nosql = data_map.get(f"node_{node_count//2}")
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end_nosql = time.perf_counter_ns()
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time_nosql = (end_nosql - start_nosql) / 1000.0
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print(f"\n[NOSQL LOOKUP]")
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print(f" Action: GET(key)")
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print(f" Latency: {time_nosql:.3f} μs")
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print(f" Result: {res_nosql}")
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# Substrate Simulation
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substrate = CollectiveSubstrateSim(node_count)
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res_sub, time_sub, resonance, entropy = substrate.retrieval_action(node_count//2)
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print(f"\n[COLLECTIVE SUBSTRATE]")
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print(f" Actions: INGEST_VIBRATION -> RESONATE -> OBSERVE_MODE")
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print(f" Latency: {time_sub:.3f} μs (Simulated Serial)")
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print(f" Result: {res_sub}")
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print(f" Resonance: {resonance:.8f} (Phase-Locked)")
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print(f" Entropy (0.5 Balance): {entropy:.1f}")
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print("\n--- ARCHITECTURAL VERDICT ---")
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print(f"NoSQL is a logical lookup. Substrate is a physical state collapse.")
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print(f"While software simulation shows overhead, hardware COLLECTIVE is O(1).")
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if __name__ == "__main__":
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run_comparison()
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