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fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 fc4389b 0387ed1 | 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 | from fso_domain_transfer import MultiModalFibrator
from fso_hardware_monitor import HardwareTopologicalMonitor
from fso_math_engine import SymbolicPathMapper
from fso_tgi_ingestor import TGI_Universal_Ingestor
from fso_subgroup_decomposer import SubgroupDecomposer
from fso_hamiltonian_repair import HamiltonianRepair
import hashlib
class TGIEngine:
"""
Law XII: Universal Intelligence Convergence
Enhanced with External Fiber Reasoning.
"""
def __init__(self, m=256, k=4):
self.m = m
self.k = k
self.fibrator = MultiModalFibrator(m, k)
self.hardware = HardwareTopologicalMonitor(m, k)
self.math = SymbolicPathMapper(m, k)
self.ingestor = TGI_Universal_Ingestor(m, k)
self.decomposer = SubgroupDecomposer(m, k)
self.repair_engine = HamiltonianRepair(m, k)
def reason_with_external_fiber(self, api_bridge, prompt):
"""
Uses an external model to interpret complex goals through the FSO lens.
"""
print(f"\n--- [LAW XII]: Reasoning with External Fiber ---")
system_context = (
"You are the reasoning core of the Sovereign TGI OS. "
"You interpret all data as topological structures in Z_m^k. "
"Respond using the vocabulary of fibers, manifolds, and Hamiltonian paths."
)
full_prompt = f"{system_context}\n\nTask: {prompt}\n\nTopological Reasoning:"
response = api_bridge.hf_query(
"mistralai/Mistral-7B-Instruct-v0.2",
full_prompt
)
if isinstance(response, list) and len(response) > 0:
return response[0].get('generated_text', "").split("Topological Reasoning:")[-1].strip()
return "Coherence maintained. External fiber unavailable."
def synthesize_knowledge_between_fibers(self, query_a, fiber_a, query_b, fiber_b):
h_a = hashlib.sha256(query_a.strip().encode('utf-8')).digest()
coord_a = tuple([h_a[i % len(h_a)] % self.m for i in range(self.k - 1)] + [(fiber_a - sum([h_a[i % len(h_a)] % self.m for i in range(self.k - 1)])) % self.m])
h_b = hashlib.sha256(query_b.strip().encode('utf-8')).digest()
coord_b = tuple([h_b[i % len(h_b)] % self.m for i in range(self.k - 1)] + [(fiber_b - sum([h_b[i % len(h_b)] % self.m for i in range(self.k - 1)])) % self.m])
atom_a, atom_b = self.ingestor.topological_manifold.get(coord_a), self.ingestor.topological_manifold.get(coord_b)
if atom_a and atom_b:
return tuple((b - a) % self.m for a, b in zip(coord_a, coord_b))
return None
def topological_search(self, query_string, target_fiber=2):
h = hashlib.sha256(query_string.strip().encode('utf-8')).digest()
coords = [h[i % len(h)] % self.m for i in range(self.k - 1)]
w = (target_fiber - sum(coords)) % self.m
coord = tuple(coords + [w])
return self.ingestor.topological_manifold.get(coord)
def execute_cross_reasoning(self, problem_coeffs, target, domain_data):
print(f"\n=========================================================")
print(f" TGI ENGINE: CROSS-DOMAIN TOPOLOGICAL REASONING")
print(f"=========================================================")
math_nodes = self.math.map_equation_to_path(problem_coeffs, target)
data_coord = self.fibrator.map_to_manifold(domain_data)
check_sum = sum(c * x for c, x in zip(problem_coeffs, data_coord)) % self.m
print(f"Topological Alignment Test: {check_sum} == {target} ? {check_sum == target}")
self.hardware.verify_hamiltonian_health()
print("=========================================================\n")
if __name__ == "__main__":
tgi = TGIEngine()
print("TGI Engine Production Ready.")
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