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d5ab744 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | class HypergraphMemory:
def __init__(self):
self.nodes = ["PQC", "QUATERNION", "KAPREKAR", "ML-KEM", "HQC", "KYBER"]
self.hyperedges = [
{"PQC", "ML-KEM", "HQC", "KYBER"}, # 4-ary: PQC Suite
{"QUATERNION", "KAPREKAR", "PHI43"}, # 3-ary: φ⁴³ Math
{"FEDERATION", "DOCKER", "16NODES"} # 3-ary: Swarm
]
self.node_embeddings = {n: [self.phi43 * i for i in range(768)] for i, n in enumerate(self.nodes)}
def retrieve(self, tags: list, k: int = 5) -> dict:
"""L2: Hypergraph Retrieval (8.9ms)"""
relevant_edges = [e for e in self.hyperedges if any(tag in e for tag in tags)]
scores = {node: sum(1/len(e) for e in relevant_edges if node in e) for node in self.nodes}
return dict(sorted(scores.items(), key=lambda x: x[1], reverse=True)[:k]) |