StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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50 lines
1.2 KiB
50 lines
1.2 KiB
4 years ago
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var falafel = require('../');
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var vm = require('vm');
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var termExps = [
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'Identifier',
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'CallExpression',
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'BinaryExpression',
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'UpdateExpression',
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'UnaryExpression'
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].reduce(function (acc, key) { acc[key] = true; return acc }, {});
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function terminated (node) {
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for (var p = node; p.parent; p = p.parent) {
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if (termExps[p.type]) return true;
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}
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return false;
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}
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var src = '{"a":[2,~9,prompt(":d")],"b":4,"c":prompt("beep"),"d":6}';
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var offsets = [];
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var output = falafel('(' + src + ')', function (node) {
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var isLeaf = node.parent
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&& !terminated(node.parent) && terminated(node)
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;
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if (isLeaf) {
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var s = node.source();
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var prompted = false;
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var res = vm.runInNewContext('(' + s + ')', {
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prompt : function (x) {
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setTimeout(function () {
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node.update(x.toUpperCase());
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}, Math.random() * 50);
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prompted = true;
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}
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});
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if (!prompted) {
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var s_ = JSON.stringify(res);
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node.update(s_);
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}
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}
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});
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setTimeout(function () {
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console.log(src);
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console.log('---');
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console.log(output);
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}, 200);
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