Merge pull request #447 from datafold/apply-args-by-chunks

Prevent `Maximum call stack exceeded` by apply args to `Math.min`, `Math.max` in chunks

Author: rustedgrail

lib/nesting-graph.js

@@ -31,7 +31,8 @@ module.exports = {
 function run(g) {
   let root = util.addDummyNode(g, "root", {}, "_root");
   let depths = treeDepths(g);
-  let height = Math.max(...Object.values(depths)) - 1; // Note: depths is an Object not an array
+  let depthsArr = Object.values(depths);
+  let height = util.applyWithChunking(Math.max, depthsArr) - 1; // Note: depths is an Object not an array
   let nodeSep = 2 * height + 1;
 
   g.graph().nestingRoot = root;

lib/order/init-order.js

@@ -18,7 +18,8 @@ module.exports = initOrder;
 function initOrder(g) {
   let visited = {};
   let simpleNodes = g.nodes().filter(v => !g.children(v).length);
-  let maxRank = Math.max(...simpleNodes.map(v => g.node(v).rank));
+  let simpleNodesRanks = simpleNodes.map(v => g.node(v).rank);
+  let maxRank = util.applyWithChunking(Math.max, simpleNodesRanks);
   let layers = util.range(maxRank + 1).map(() => []);
 
   function dfs(v) {

lib/position/bk.js

@@ -313,8 +313,8 @@ function findSmallestWidthAlignment(g, xss) {
  */
 function alignCoordinates(xss, alignTo) {
   let alignToVals = Object.values(alignTo),
-    alignToMin = Math.min(...alignToVals),
-    alignToMax = Math.max(...alignToVals);
+    alignToMin = util.applyWithChunking(Math.min, alignToVals),
+    alignToMax = util.applyWithChunking(Math.max, alignToVals);
 
   ["u", "d"].forEach(vert => {
     ["l", "r"].forEach(horiz => {
@@ -324,9 +324,9 @@ function alignCoordinates(xss, alignTo) {
       if (xs === alignTo) return;
 
       let xsVals = Object.values(xs);
-      let delta = alignToMin - Math.min(...xsVals);
+      let delta = alignToMin - util.applyWithChunking(Math.min, xsVals);
       if (horiz !== "l") {
-        delta = alignToMax - Math.max(...xsVals);
+        delta = alignToMax - util.applyWithChunking(Math.max,xsVals);
       }
 
       if (delta) {

lib/rank/util.js

@@ -1,5 +1,7 @@
 "use strict";
 
+const { applyWithChunking } = require("../util");
+
 module.exports = {
   longestPath: longestPath,
   slack: slack
@@ -36,13 +38,15 @@ function longestPath(g) {
     }
     visited[v] = true;
 
-    var rank = Math.min(...g.outEdges(v).map(e => {
+    let outEdgesMinLens = g.outEdges(v).map(e => {
       if (e == null) {
         return Number.POSITIVE_INFINITY;
       }
 
       return dfs(e.w) - g.edge(e).minlen;
-    }));
+    });
+
+    var rank = applyWithChunking(Math.min, outEdgesMinLens);
 
     if (rank === Number.POSITIVE_INFINITY) {
       rank = 0;

lib/util.js

@@ -7,6 +7,7 @@ let Graph = require("@dagrejs/graphlib").Graph;
 module.exports = {
   addBorderNode,
   addDummyNode,
+  applyWithChunking,
   asNonCompoundGraph,
   buildLayerMatrix,
   intersectRect,
@@ -153,14 +154,15 @@ function buildLayerMatrix(g) {
  * rank(v) >= 0 and at least one node w has rank(w) = 0.
  */
 function normalizeRanks(g) {
-  let min = Math.min(...g.nodes().map(v => {
+  let nodeRanks = g.nodes().map(v => {
     let rank = g.node(v).rank;
     if (rank === undefined) {
       return Number.MAX_VALUE;
     }
 
     return rank;
-  }));
+  });
+  let min = applyWithChunking(Math.min, nodeRanks);
   g.nodes().forEach(v => {
     let node = g.node(v);
     if (node.hasOwnProperty("rank")) {
@@ -171,7 +173,8 @@ function normalizeRanks(g) {
 
 function removeEmptyRanks(g) {
   // Ranks may not start at 0, so we need to offset them
-  let offset = Math.min(...g.nodes().map(v => g.node(v).rank));
+  let nodeRanks = g.nodes().map(v => g.node(v).rank);
+  let offset = applyWithChunking(Math.min, nodeRanks);
 
   let layers = [];
   g.nodes().forEach(v => {
@@ -205,15 +208,37 @@ function addBorderNode(g, prefix, rank, order) {
   return addDummyNode(g, "border", node, prefix);
 }
 
+function splitToChunks(array, chunkSize = CHUNKING_THRESHOLD) {
+  const chunks = [];
+  for (let i = 0; i < array.length; i += chunkSize) {
+    const chunk = array.slice(i, i + chunkSize);
+    chunks.push(chunk);
+  }
+  return chunks;
+}
+
+const CHUNKING_THRESHOLD = 65535;
+
+function applyWithChunking(fn, argsArray) {
+  if(argsArray.length > CHUNKING_THRESHOLD) {
+    const chunks = splitToChunks(argsArray);
+    return fn.apply(null, chunks.map(chunk => fn.apply(null, chunk)));
+  } else {
+    return fn.apply(null, argsArray);
+  }
+}
+
 function maxRank(g) {
-  return Math.max(...g.nodes().map(v => {
+  const nodes = g.nodes();
+  const nodeRanks = nodes.map(v => {
     let rank = g.node(v).rank;
     if (rank === undefined) {
       return Number.MIN_VALUE;
     }
-
     return rank;
-  }));
+  });
+
+  return applyWithChunking(Math.max, nodeRanks);
 }
 
 /*