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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53 lines
1.2 KiB
53 lines
1.2 KiB
var fs = require('fs')
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var exec = require('child_process').exec
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var wget = require('node-wget')
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var common = require('./common')
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fs.readFile(common.pathToConfig, 'utf8', main)
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function main (err, configFile) {
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if (err) throw err
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var config = JSON.parse(configFile)
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var bar = common.makeBar(
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'Downloading shapefiles: [:bar] :current/:total',
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[config.resolutions, config.vectors]
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)
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function unzip (r, v) {
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return [
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'unzip -o',
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common.wgetDir + common.srcPrefix + common.bn(r, v.src, 'zip'),
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'-d', common.wgetDir
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].join(' ')
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}
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config.resolutions.forEach(function (r) {
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config.vectors.forEach(function (v) {
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var url = [
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common.urlBase,
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r, 'm/', v.type + '/',
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common.srcPrefix,
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common.bn(r, v.src, 'zip')
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].join('')
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var dest = [
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common.wgetDir,
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common.srcPrefix,
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common.bn(r, v.src, 'zip')
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].join('')
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if (common.DEBUG) console.log('wget ' + url + '\n')
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wget({ url: url, dest: dest }, function (err) {
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if (err) throw err
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setTimeout(function () {
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exec(unzip(r, v), function (err) {
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if (err) throw err
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bar.tick()
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})
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}, 1000)
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})
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})
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})
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}
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