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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46 lines
1.2 KiB
46 lines
1.2 KiB
var mdnProperties = require('mdn-data/css/properties.json');
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var mdnSyntaxes = require('mdn-data/css/syntaxes.json');
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var patch = require('./patch.json');
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var data = {
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properties: {},
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types: {}
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};
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function normalizeSyntax(syntax) {
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return syntax
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.replace(/</g, '<')
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.replace(/>/g, '>')
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.replace(/ /g, ' ')
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.replace(/&/g, '&');
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}
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function patchDict(dict, patchDict) {
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for (var key in patchDict) {
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if (key in dict) {
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if (patchDict[key].syntax) {
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dict[key].syntax = patchDict[key].syntax;
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} else {
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delete dict[key];
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}
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} else {
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if (patchDict[key].syntax) {
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dict[key] = patchDict[key];
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}
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}
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}
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}
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// apply patch
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patchDict(mdnProperties, patch.properties);
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patchDict(mdnSyntaxes, patch.syntaxes);
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// normalize source mdnProperties syntaxes, since it uses html token
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for (var key in mdnProperties) {
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data.properties[key] = normalizeSyntax(mdnProperties[key].syntax);
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}
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for (var key in mdnSyntaxes) {
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data.types[key] = normalizeSyntax(mdnSyntaxes[key].syntax);
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}
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module.exports = data;
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