duyet duyet

This is the follow up to a post I wrote recently called From Require.js to Webpack - Party 1 (the why) which was published in my personal blog.

In that post I talked about 3 main reasons for moving from require.js to webpack:

Common JS support
NPM support
a healthy loader/plugin ecosystem.

Here I'll instead talk about some of the technical challenges that we faced during the migration. Despite the clear benefits in developer experience (DX) the setup was fairly difficult and I'd like to cover some of the challanges we faced to make the transition a bit easier.

Các hồ sơ cần thiết khi tiến hành thanh lý tài sản cố định hữu hình

Lập hội đồng xác định giá tài sản cố định
Quyết định thanh lý tài sản cố định
Biên bản kiểm kê tài sản cố định [mẫu]
Biên bản đánh giá lại tài sản cố định [mẫu]
Hợp đồng kinh tế bán tài sản cố định được thanh lý
Biên bản giao nhận tài sản cố định [mẫu]
Biên bản hủy tài sản cố định
Thanh lý hợp đồng kinh tế bán tài sản cố định

Install python3, pip, posgres, virtualenv

sudo apt-get install python3 python3-dev python-pip 
sudo apt-get install libpq-dev libjpeg-dev build-essential python-dev # fix
sudo apt-get install libtiff5-dev libjpeg8-dev zlib1g-dev libfreetype6-dev liblcms2-dev libwebp-dev tcl8.6-dev tk8.6-dev python-tk
sudo apt-get install apache2 libapache2-mod-wsgi-py3
sudo apt-get install postgresql postgresql-contrib
sudo pip install virtualenv

	[[local\|localrc]]
	# Modify to your environment
	#FIXED_RANGE=10.0.0.0/24
	#FLOATING_RANGE=192.168.1.224/27
	#PUBLIC_NETWORK_GATEWAY=192.168.1.225
	#PUBLIC_INTERFACE=em1
	#PHYSICAL_NETWORK=public
	#OVS_PHYSICAL_BRIDGE=br-ex

	#HOST_IP=104.199.204.70

	[[local\|localrc]]
	# Modify to your environment
	#FIXED_RANGE=10.0.0.0/24
	#FLOATING_RANGE=192.168.1.224/27
	#PUBLIC_NETWORK_GATEWAY=192.168.1.225
	#PUBLIC_INTERFACE=em1
	#PHYSICAL_NETWORK=public
	#OVS_PHYSICAL_BRIDGE=br-ex

	PUBLIC_INTERFACE=eth0

	def convert(sqlContext: SQLContext, filename: String, schema: StructType, tablename: String) {
	// import text-based table first into a data frame.
	// make sure to use com.databricks:spark-csv version 1.3+
	// which has consistent treatment of empty strings as nulls.
	val df = sqlContext.read
	.format("com.databricks.spark.csv")
	.schema(schema)
	.option("delimiter","\|")
	.option("nullValue","")
	.option("treatEmptyValuesAsNulls","true")

	#/etc/init.d/dropbox

	start() {
	echo "Starting dropbox..."
	start-stop-daemon -b -o -c dropbox -S -x /dropbox/.dropbox-dist/dropboxd
	}

	stop() {
	echo "Stopping dropbox..."
	start-stop-daemon -o -c dropbox -K -x /dropbox/.dropbox-dist/dropboxd

	$( "#result" ).load( "ajax/test.html", function() {
	alert( "Load was performed." );
	});

	// ----------------

	function show_me (message) {
	console.log(message);
	}