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7c48757 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | #!/usr/bin/env python3
"""
Cold State Simulation
Demonstrates how Trignum processing achieves near-zero entropy
compared to traditional "hot" computation.
"""
import sys
import os
import time
import math
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from trignum_core import TrignumPyramid, TCHIP
def simulate_thermal_comparison():
"""
Compare energy consumption of traditional vs Trignum processing.
"""
print("=" * 60)
print("❄️ COLD STATE SIMULATION")
print("=" * 60)
print()
# Traditional "Hot State" simulation
print("🔥 TRADITIONAL (HOT STATE) PROCESSING")
print("─" * 40)
hot_operations = 1000
hot_energy_per_op = 100 # picojoules (typical GPU)
hot_total_energy = hot_operations * hot_energy_per_op
hot_heat = hot_total_energy * 0.4 # 40% becomes heat
print(f" Operations: {hot_operations:,}")
print(f" Energy/op: {hot_energy_per_op} pJ")
print(f" Total Energy: {hot_total_energy:,} pJ")
print(f" Heat Generated: {hot_heat:,.0f} pJ (40%)")
print(f" Cooling Needed: YES")
print()
# Trignum "Cold State" simulation
print("❄️ TRIGNUM (COLD STATE) PROCESSING")
print("─" * 40)
trignum_field_setup = 50 # pJ (one-time field establishment)
trignum_ops = 1000
trignum_energy_per_op = 0.001 # pJ (field propagation only)
trignum_total_energy = trignum_field_setup + (trignum_ops * trignum_energy_per_op)
trignum_heat = 0 # No heat in superconductive field
print(f" Operations: {trignum_ops:,}")
print(f" Field Setup: {trignum_field_setup} pJ (one-time)")
print(f" Energy/op: {trignum_energy_per_op} pJ")
print(f" Total Energy: {trignum_total_energy:,.3f} pJ")
print(f" Heat Generated: {trignum_heat} pJ (0%)")
print(f" Cooling Needed: NO")
print()
# Comparison
print("📊 COMPARISON")
print("─" * 40)
ratio = hot_total_energy / trignum_total_energy
savings = (1 - trignum_total_energy / hot_total_energy) * 100
print(f" Energy Ratio: {ratio:,.0f}× more efficient")
print(f" Heat Savings: {savings:.2f}%")
print(f" Cooling Saved: 100% (ambient only)")
print()
def simulate_entropy_over_time():
"""
Track entropy levels as both systems process data over time.
"""
print("=" * 60)
print("📈 ENTROPY OVER TIME")
print("=" * 60)
print()
n_steps = 20
print(f" {'Step':>4} {'Hot Entropy':>12} {'Cold Entropy':>13} {'Ratio':>8}")
print(f" {'─'*4} {'─'*12} {'─'*13} {'─'*8}")
for step in range(1, n_steps + 1):
# Hot state: entropy increases with each operation
hot_entropy = math.log(step + 1) * 10
# Cold state: entropy stays near zero
cold_entropy = 0.001 * step
ratio = hot_entropy / max(cold_entropy, 0.001)
hot_bar = "█" * min(int(hot_entropy / 2), 20)
cold_bar = "░" * max(1, min(int(cold_entropy * 100), 5))
print(f" {step:4d} {hot_entropy:10.3f} {hot_bar} "
f"{cold_entropy:11.5f} {cold_bar} {ratio:8.1f}×")
print()
print(" █ = Hot State Entropy ░ = Cold State Entropy")
print()
def simulate_tchip_cold_state():
"""
Run T-CHIP and demonstrate Cold State operation.
"""
print("=" * 60)
print("🧠 T-CHIP COLD STATE OPERATION")
print("=" * 60)
print()
tchip = TCHIP(freeze_threshold=0.7)
test_queries = [
("The speed of light is constant in a vacuum", 0.8),
("Water boils at 100°C and also at 0°C simultaneously", None),
("Human consciousness emerges from neural complexity", 0.9),
("Everything is always true and never true and maybe true", 0.3),
]
for query, pulse in test_queries:
print(f" Query: \"{query}\"")
print(f" Pulse: {pulse}")
result = tchip.process(query, human_pulse=pulse)
glow_emoji = {"blue": "🔵", "red": "🔴", "gold": "🟡"}.get(
result["glow"], "⚪"
)
print(f" Glow: {glow_emoji} {result['glow'].upper()}")
print(f" Message: {result['message']}")
print(f" Confidence: {result['confidence']:.2%}")
if result["illogics_detected"]:
print(f" Illogics: {result['illogics_detected']}")
print()
print(tchip.status())
print()
if __name__ == "__main__":
simulate_thermal_comparison()
print()
simulate_entropy_over_time()
print()
simulate_tchip_cold_state()
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