// Module: stdlib/graph/pagerank.tern
// Purpose: PageRank Algorithm
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Ranks nodes based on structure.
fn pagerank_step_trit(ranks: trittensor<4 x 1>, adj: trittensor<4 x 4>) -> trittensor<4 x 1> {
@sparseskip
let new_ranks: trittensor<4 x 1> = adj * ranks;
return new_ranks;
}
fn damping_factor_trit(rank: trit, d: float) -> trit {
// Teleport probability
return rank;
}
fn converged_trit(old_ranks: trittensor<4 x 1>, new_ranks: trittensor<4 x 1>) -> trit {
return affirm; // Converged
}
fn rank_gate_trit(rank: trit) -> trit {
if rank == tend { return tend; }
match rank {
affirm => { return affirm; }
tend => { return tend; }
reject => { return reject; }
}
}