"use strict"; var _ = require("../lodash"); var initOrder = require("./init-order"); var crossCount = require("./cross-count"); var sortSubgraph = require("./sort-subgraph"); var buildLayerGraph = require("./build-layer-graph"); var addSubgraphConstraints = require("./add-subgraph-constraints"); var Graph = require("../graphlib").Graph; var util = require("../util"); module.exports = order; /* * Applies heuristics to minimize edge crossings in the graph and sets the best * order solution as an order attribute on each node. * * Pre-conditions: * * 1. Graph must be DAG * 2. Graph nodes must be objects with a "rank" attribute * 3. Graph edges must have the "weight" attribute * * Post-conditions: * * 1. Graph nodes will have an "order" attribute based on the results of the * algorithm. */ function order(g) { var maxRank = util.maxRank(g), downLayerGraphs = buildLayerGraphs(g, _.range(1, maxRank + 1), "inEdges"), upLayerGraphs = buildLayerGraphs(g, _.range(maxRank - 1, -1, -1), "outEdges"); var layering = initOrder(g); assignOrder(g, layering); var bestCC = Number.POSITIVE_INFINITY, best; for (var i = 0, lastBest = 0; lastBest < 4; ++i, ++lastBest) { sweepLayerGraphs(i % 2 ? downLayerGraphs : upLayerGraphs, i % 4 >= 2); layering = util.buildLayerMatrix(g); var cc = crossCount(g, layering); if (cc < bestCC) { lastBest = 0; best = _.cloneDeep(layering); bestCC = cc; } } assignOrder(g, best); } function buildLayerGraphs(g, ranks, relationship) { return _.map(ranks, function(rank) { return buildLayerGraph(g, rank, relationship); }); } function sweepLayerGraphs(layerGraphs, biasRight) { var cg = new Graph(); _.forEach(layerGraphs, function(lg) { var root = lg.graph().root; var sorted = sortSubgraph(lg, root, cg, biasRight); _.forEach(sorted.vs, function(v, i) { lg.node(v).order = i; }); addSubgraphConstraints(lg, cg, sorted.vs); }); } function assignOrder(g, layering) { _.forEach(layering, function(layer) { _.forEach(layer, function(v, i) { g.node(v).order = i; }); }); }