mirror of
https://github.com/allaunthefox/Research-Stack.git
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126 lines
5.7 KiB
Python
126 lines
5.7 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 re
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# ------------- UPDATE PYTHON CONTROL -------------
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ctrl_path = "TSM_COMPILER.py"
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with open(ctrl_path, "r") as f:
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py_text = f.read()
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new_router = """class PhysicsMoE_Router:
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def __init__(self):
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print("[pi-MoE] Initializing the 'Wall of Physics' (Massive MoE Matrix)...")
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self.experts = {
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"QCD": "Quantum Chromodynamics",
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"QED": "Quantum Electrodynamics",
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"ACOUSTICS": "Acoustic Metamaterials",
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"THERMO": "High-Energy Thermodynamics",
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"RELATIVITY": "Hyper-Relativity",
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"M_THEORY": "11-Dimensional String Theory",
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"LQG": "Loop Quantum Gravity",
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"BEC": "Bose-Einstein Condensate",
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"MHD": "Magnetohydrodynamics",
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"DARK_FLUID": "Dark Energy Fluidics",
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"HIGGS": "Higgs Field Interaction",
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"TACHYON": "Tachyonic Condensation",
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"HOLOGRAPHIC": "Holographic Entropy Gate",
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"TOPOLOGICAL": "Topological Defect Routing",
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"COGNITIVE": "Native Synthetic Cognitive Core"
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}
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# Simulate a dense neural network layer for the wall (15x15 dimensional space)
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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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self.wall_matrix = xp.random.uniform(0.9, 1.1, (len(self.experts), len(self.experts)))
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def _synthetic_expert_gate(self, tensor_data) -> float:
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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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# Normalize and pad incoming tensor to match wall dimensions
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tensor_array = xp.array(tensor_data, dtype=float)
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padded_tensor = xp.pad(tensor_array, (0, max(0, len(self.experts) - len(tensor_array))), 'constant')[:len(self.experts)]
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# Matrix multiplication: smashing the acoustic tensor against the Wall of Physics
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wall_activation = xp.dot(self.wall_matrix, padded_tensor)
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# Calculate thermodynamics/entropy of the collision
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entropy = xp.sum(wall_activation * xp.log(xp.maximum(wall_activation, 1e-9)))
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std_dev = xp.std(wall_activation)
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# Softmax weighting to find which physics expert takes the domain lead
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exp_act = xp.exp(wall_activation - xp.max(wall_activation))
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weights = exp_act / xp.sum(exp_act)
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dominant_idx = xp.argmax(weights)
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dominant_expert = list(self.experts.values())[dominant_idx]
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print(f"[p-MoE-WALL] Tensor fractured and distributed across {len(self.experts)} physics domains.")
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print(f"[p-MoE-WALL] Dominant physics engine: {dominant_expert} (Confidence: {weights[dominant_idx]*100:.2f}%)")
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gated_multiplier = 1.0 + (xp.mean(weights) * (std_dev / max(abs(entropy), 1)))
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final_multiplier = max(0.1, min(10.0, gated_multiplier))
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print(f"[p-MoE-WALL] Wall synthesized unified harmonic shift: {final_multiplier:.6f}")
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return final_multiplier
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def forward_pass(self, tensor: list) -> float:
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# Pushes any size tensor directly into the massive computational wall
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return self._synthetic_expert_gate(tensor)
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"""
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py_text = re.sub(r"class PhysicsMoE_Router:.*?class TSM_Compiler:", new_router + "\nclass TSM_Compiler:", py_text, flags=re.DOTALL)
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new_main = """if __name__ == "__main__":
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compiler = TSM_Compiler()
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print("\\n=== Initializing routing matrix ===")
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print("[TSM] Constructing a test network...")
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# Establish a cascading network of 5 tunnel intersections
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baselines = [
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(1.2e12, 4.4e14), # Node 1 → Node 2
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(4.4e14, 8.8e15), # Node 2 → Node 3
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(8.8e15, 2.1e16), # Node 3 → Node 4
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(2.1e16, 9.9e18), # Node 4 → Node 5
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(9.9e18, 1.2e12) # Node 5 → Node 1 (loopback)
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]
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for i, (src, dst) in enumerate(baselines):
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print(f"\\n--- Wall Intersection {i+1} ---")
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compiler.route_spatial_fold(src, dst)
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print("\\n[TSM] 'Wall of Physics' fully established. Sub-space is structurally locked.")
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"""
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py_text = re.sub(r"if __name__ == \"__main__\":.*", new_main, py_text, flags=re.DOTALL)
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with open(ctrl_path, "w") as f:
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f.write(py_text)
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# ------------- UPDATE DOC -------------
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doc_path = "KDA_DOC.tex"
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with open(doc_path, "r") as f:
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text = f.read()
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wall_section = """
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\\subsection{The Wall of Physics (Massive MoE Architecture)}
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By dramatically scaling the pi-MoE router, TSM now processes tensors through a dense computational barrier known as "The Wall." Instead of simple binary gating, the incoming frequency tensor is smashed against a 15-dimensional matrix representing discrete branches of theoretical physics (from Quantum Electrodynamics to 11-Dimensional String Theory and Holographic Entropy).
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The Wall fractures the harmonic load, distributes it across all 15 domains simultaneously, and calculates the resulting synthesis using softmax activation to output a unified physics multiplier. This allows for the construction of cascading, networked spatial folds rather than isolated bridges.
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"""
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if r"\end{document}" in text:
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text = text.replace(r"\end{document}", wall_section + "\n\\end{document}")
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else:
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text += "\n" + wall_section
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with open(doc_path, "w") as f:
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f.write(text)
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