qiwihui qiwihui

Using Swift libraries in Python

So... this is obviously totally, 100%, like for. real. not. supported. by. Apple. …yet?

But still... I thought it was pretty badass. And, seeing how there's already a Swift buildpack for Heroku you could move some slow code into Swift can call it as a library function. But, you know, not in production or anything. That would be silly, right?

Now, having said that, the actual Python/Swift interop may have bugs. I'll leave that as an exercise to the reader.

How to get Python code calling Swift functions:

Use curl to get the JSON response for the latest release
Use grep to find the line containing file URL
Use cut and tr to extract the URL
Use wget to download it

curl -s https://api.github.com/repos/jgm/pandoc/releases/latest \
| grep "browser_download_url.*deb" \
| cut -d : -f 2,3 \
| tr -d \" \

How to use Hexo and deploy to GitHub Pages

1. Install Hexo

$ sudo npm install -g hexo-cli

$ hexo -v
hexo-cli: 0.1.9

使用树莓派3B打造超强路由之一：初装

新款的树莓派3B功能之丰富，性能之强悍，让我垂涎。考虑到家里的网件 WNDR3700v2 也服役四年有余了。还是败了一个树莓派3B回来打造成新的路由。

WARNING 本文所有指令均仅供参考，切勿无脑复制粘贴！

〇安装系统

	# Notes:
	# - Replace <DB_NAME> with your database
	# - Replace <SOME_PROJECT_WITH_A_TEST> with an appname that has an integration test, this will run your migrations

	database:
	override:
	# Preserve Postgres in cache
	- sudo service postgresql stop \|\| exit 0
	- "if [ -d ~/postgres/ ]; then sudo cp -r ~/postgres/* /var/lib/postgresql/9.4; sudo chown -R postgres:postgres /var/lib/postgresql/9.4/*; fi"
	- sudo service postgresql start \|\| exit 0

	/**
	* Base contract that all upgradeable contracts should use.
	*
	* Contracts implementing this interface are all called using delegatecall from
	* a dispatcher. As a result, the _sizes and _dest variables are shared with the
	* dispatcher contract, which allows the called contract to update these at will.
	*
	* _sizes is a map of function signatures to return value sizes. Due to EVM
	* limitations, these need to be populated by the target contract, so the
	* dispatcher knows how many bytes of data to return from called functions.

	func ip2int(ip net.IP) uint32 {
	if len(ip) == 16 {
	return binary.BigEndian.Uint32(ip[12:16])
	}
	return binary.BigEndian.Uint32(ip)
	}

	func int2ip(nn uint32) net.IP {
	ip := make(net.IP, 4)
	binary.BigEndian.PutUint32(ip, nn)

	curl --include \
	--no-buffer \
	--header "Connection: Upgrade" \
	--header "Upgrade: websocket" \
	--header "Host: example.com:80" \
	--header "Origin: http://example.com:80" \
	--header "Sec-WebSocket-Key: SGVsbG8sIHdvcmxkIQ==" \
	--header "Sec-WebSocket-Version: 13" \
	http://example.com:80/

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

	# See https://codeship.com/documentation/docker/browser-testing/
	FROM myapp:base

	# We need wget to set up the PPA and xvfb to have a virtual screen and unzip to install the Chromedriver
	RUN apt-get install -y wget xvfb unzip

	# Set up the Chrome PPA
	RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub \| apt-key add -
	RUN echo "deb http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list