/* Copyright © 2025 filifa This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . */ package graph import ( "gonum.org/v1/gonum/graph" "gonum.org/v1/gonum/graph/multi" "gonum.org/v1/gonum/graph/simple" "gonum.org/v1/gonum/mat" ) // DirectedGraph embeds a multi.WeightedDirectedGraph (as opposed to // simple.WeightedDirectedGraph) to handle self loops. type DirectedGraph struct { *multi.WeightedDirectedGraph } // NewDirectedGraph returns a graph with no nodes or edges. func NewDirectedGraph() *DirectedGraph { return &DirectedGraph{WeightedDirectedGraph: multi.NewWeightedDirectedGraph()} } // AbsorbingNodes returns all the nodes in the Markov chain identified as // absorbing nodes. func (g *DirectedGraph) AbsorbingNodes() []graph.Node { absorbingNodes := make([]graph.Node, 0) for nodes := g.Nodes(); nodes.Next(); { u := nodes.Node() successors := g.From(u.ID()) if successors.Len() != 1 { continue } successors.Next() v := successors.Node() if u == v { absorbingNodes = append(absorbingNodes, u) } } return absorbingNodes } // AdjacencyMatrix returns the graph's adjacency matrix. func (g *DirectedGraph) AdjacencyMatrix() *mat.Dense { adj := simple.NewDirectedMatrix(g.Nodes().Len(), 0, 0, 0) for edges := g.WeightedEdges(); edges.Next(); { e := edges.WeightedEdge() if e.From() == e.To() { continue } adj.SetWeightedEdge(e) } a := mat.DenseCopyOf(adj.Matrix()) nodes := adj.Nodes() for i := 0; nodes.Next(); i++ { id := nodes.Node().ID() u := g.Node(id) e := g.WeightedEdge(u.ID(), u.ID()) if e != nil { a.Set(i, i, e.Weight()) } } return a }