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92 lines
4.2 KiB
Python
92 lines
4.2 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 hashlib
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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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import os
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import sys
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# ── NE geometry scaffold (geometry-rip branch) ────────────────────────────────
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# Fixes EUCLIDEAN_ASSUMPTION_AUDIT finding #11 (LOWER): L2 on random coords
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# produces approximately constant coupling_strength ≈ weight / sqrt(N/6) for all
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# pairs (all pairwise distances concentrate around sqrt(N/6)).
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# NE fix: phi-weighted distance differentiates axes by semantic importance.
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_USE_NE_GEOMETRY = False
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_phi_ndag = (1 + 5 ** 0.5) / 2
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# ── Complex geometry scaffold (geometry-rip branch) ───────────────────────────
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# Fixes COMPLEX_NUMBER_AUDIT finding #M6 (LOWER): establish_coupling uses L2
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# distance on mod-1 coords without circular wraparound metric.
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# Coordinates are (entropy × PHI^i) % 1.0 — linear distance wraps discontinuously.
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_USE_COMPLEX_GEOMETRY = True
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import sys as _sys_sql, os as _os_sql
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_sql_tools = _os_sql.path.join(_os_sql.path.dirname(_os_sql.path.abspath(__file__)),
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"..", "tools")
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if _sql_tools not in _sys_sql.path:
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_sys_sql.path.insert(0, _sql_tools)
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try:
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import geometry_complex as _cg # noqa: F401
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_CG_AVAILABLE_SQL = True
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except ImportError:
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_CG_AVAILABLE_SQL = False
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class NdagTransmuter:
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"""Transmutes Relational SQL into N-Dimensional Solitons."""
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def __init__(self, dimensions=11):
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self.dimensions = dimensions
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self.phi = (1 + 5**0.5) / 2
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self.manifold = {}
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def transmute_node(self, slug, data):
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"""Converts a SQL Row/Entity into a HyperMassNode."""
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node_id = hashlib.sha256(slug.encode()).hexdigest()
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# Holographic Mapping: Entropy-driven coordinate generation
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entropy = sum(hashlib.sha256(str(data).encode()).digest()) / 256.0
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coords = xp.zeros(self.dimensions)
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for i in range(self.dimensions):
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coords[i] = (entropy * (self.phi ** i)) % 1.0
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self.manifold[node_id] = {
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"coords": coords,
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"frequency": 1.0 / (self.phi * entropy),
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"payload": data
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}
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return node_id
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def establish_coupling(self, node_a, node_b, weight=1.0):
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"""Converts Foreign Keys into Phase-Locked Couplings."""
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if node_a in self.manifold and node_b in self.manifold:
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# Vibrational Edge strength based on topological distance
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ca = self.manifold[node_a]["coords"]
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cb = self.manifold[node_b]["coords"]
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if _USE_COMPLEX_GEOMETRY:
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# COMPLEX_AUDIT #M6: circular metric — mod-1 coords wrap at [0,1) boundary
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# min(|a-b|, 1-|a-b|) is the correct angular distance for unit-circle coords
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_diffs = [min(abs(ca[i] - cb[i]), 1.0 - abs(ca[i] - cb[i]))
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for i in range(len(ca))]
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dist = sum(_phi_ndag**i * _diffs[i]**2
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for i in range(len(ca))) ** 0.5
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elif _USE_NE_GEOMETRY:
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# NE path: φ^i-weighted distance (AUDIT FINDING #11 fix)
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# Avoids concentration of measure: axis-i has weight φ^i
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dist = sum(_phi_ndag**i * (ca[i] - cb[i])**2
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for i in range(len(ca))) ** 0.5
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else:
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# EU path (default): L2 — EUCLIDEAN ASSUMPTION #11
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dist = xp.linalg.norm(ca - cb)
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coupling_strength = weight / (dist + 0.001)
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return coupling_strength
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return 0.0
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if __name__ == "__main__":
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transmuter = NdagTransmuter()
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uid = transmuter.transmute_node("user_001", {"name": "Architect", "level": "SME"})
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print(f"Node Transmuted: {uid}")
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