FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
https://doi.org/10.1109/TVCG.2022.3141040
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42 lines
1.2 KiB
42 lines
1.2 KiB
4 years ago
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'use strict'
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require('./check-versions')()
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process.env.NODE_ENV = 'production'
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const ora = require('ora')
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const rm = require('rimraf')
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const path = require('path')
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const chalk = require('chalk')
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const webpack = require('webpack')
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const config = require('../config')
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const webpackConfig = require('./webpack.prod.conf')
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const spinner = ora('building for production...')
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spinner.start()
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rm(path.join(config.build.assetsRoot, config.build.assetsSubDirectory), err => {
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if (err) throw err
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webpack(webpackConfig, (err, stats) => {
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spinner.stop()
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if (err) throw err
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process.stdout.write(stats.toString({
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colors: true,
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modules: false,
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children: false, // If you are using ts-loader, setting this to true will make TypeScript errors show up during build.
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chunks: false,
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chunkModules: false
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}) + '\n\n')
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if (stats.hasErrors()) {
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console.log(chalk.red(' Build failed with errors.\n'))
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process.exit(1)
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}
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console.log(chalk.cyan(' Build complete.\n'))
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console.log(chalk.yellow(
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' Tip: built files are meant to be served over an HTTP server.\n' +
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' Opening index.html over file:// won\'t work.\n'
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))
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})
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})
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