/* * A function that takes a layering (an array of layers, each with an array of * ordererd nodes) and a graph and returns a weighted crossing count. * * Pre-conditions: * * 1. Input graph must be simple (not a multigraph), directed, and include * only simple edges. * 2. Edges in the input graph must have assigned weights. * * Post-conditions: * * 1. The graph and layering matrix are left unchanged. * * This algorithm is derived from Barth, et al., "Bilayer Cross Counting." */ import type { ID } from '../../../types'; import { DagreGraph } from '../graph'; import { zipObject } from '../util'; const twoLayerCrossCount = ( g: DagreGraph, northLayer: ID[], southLayer: ID[], ) => { // Sort all of the edges between the north and south layers by their position // in the north layer and then the south. Map these edges to the position of // their head in the south layer. const southPos = zipObject( southLayer, southLayer.map((v, i) => i), ); const unflat = northLayer.map((v) => { const unsort = g.getRelatedEdges(v, 'out').map((e) => { return { pos: southPos[e.target] || 0, weight: e.data.weight }; }); return unsort?.sort((a, b) => a.pos - b.pos); }); const southEntries = unflat.flat().filter((entry) => entry !== undefined); // Build the accumulator tree let firstIndex = 1; while (firstIndex < southLayer.length) firstIndex <<= 1; const treeSize = 2 * firstIndex - 1; firstIndex -= 1; const tree = Array(treeSize).fill(0, 0, treeSize); // Calculate the weighted crossings let cc = 0; southEntries?.forEach((entry) => { if (entry) { let index = entry.pos + firstIndex; tree[index] += entry.weight; let weightSum = 0; while (index > 0) { if (index % 2) { weightSum += tree[index + 1]; } index = (index - 1) >> 1; tree[index] += entry.weight; } cc += entry.weight! * weightSum; } }); return cc; }; export const crossCount = (g: DagreGraph, layering: ID[][]) => { let cc = 0; for (let i = 1; i < layering?.length; i += 1) { cc += twoLayerCrossCount(g, layering[i - 1], layering[i]); } return cc; };