Uri Gilad antishok

What does `NODE_ENV=production` do?

Setting NODE_ENV=production causes these libraries and tools to behave as follows:

npm:

yarn:

constants (no inputs, outputs a value it stores internally) tf.constant(3.0)
operations (inputs to outputs) tf.add(node1, node2) or node1 + node2
(Variables and placeholders are operations too. For variables, an 'assign' op might also be created for assigning the initial value)

3 # a rank 0 tensor; this is a scalar with shape []

	<!-- JSFiddle: http://jsfiddle.net/antishok/pDc7L/2/ -->

	<input id="i" data-bind="ipAddress: ip" />
	<br>
	<input data-bind="value: ip">

	(function($, undefined) {
	$.extend($.support, {
	orientation: "orientation" in window && "onorientationchange" in window
	});
	}(jQuery));


	// throttled resize event
	(function($) {
	$.event.special.throttledresize = {

	beforeShowDay: function(date) {
	var enabled = disabledDates.every(function(disabledDate){
	var from = new Date(disabledDate['from']);
	var to = new Date(disabledDate['to']);

	from.setHours(0);
	from.setMinutes(0);
	from.setSeconds(0);

	to.setHours(23);

	var stream = require('stream');
	var bhttp = require('bhttp');
	var Promise = require('bluebird');

	Promise.try(function() {
	return bhttp.get('http://www.pdf995.com/samples/pdf.pdf');
	}).then(function(response) {
	var bufferStream = new stream.PassThrough();
	bufferStream.end(response.body);
	var data = {

	Listening on port 3000
	express:router dispatching GET /increment +6s
	express:router query : /increment +3ms
	express:router expressInit : /increment +1ms
	express:router session : /increment +2ms
	express-session fetching 9uxMmBYUXEWSBRlZH2f8j0X3IH4eYFyb +5ms
	express-session session found +8ms
	express-session saving 9uxMmBYUXEWSBRlZH2f8j0X3IH4eYFyb +8ms
	express-session split response +1ms
	express:router dispatching GET / +9ms

	import sys
	import numpy as np
	from keras.models import Sequential, load_model
	from keras.layers import Dense, Activation, Dropout, LSTM, Embedding, Lambda
	from keras import optimizers
	from keras import backend as K
	from keras.callbacks import ModelCheckpoint

	filepath = 'input.txt'
	seq_len = 80

	<!doctype html>
	<html>
	<head><title>Log-In</title></head>
	<script>
	if (window.opener) {
	window.opener.postMessage("popup-done", "*");
	setTimeout(function() { window.close() }, 0);
	}
	</script>
	</head>