rvl

Pushing to Multiple Git Repos

If a project has to have multiple git repos (e.g. Bitbucket and Github) then it's better that they remain in sync.

Usually this would involve pushing each branch to each repo in turn, but actually Git allows pushing to multiple repos in one go.

If in doubt about what git is doing when you run these commands, just

dtomasi

server {
    listen       80;
    server_name  localhost;
    root       /Users/YOUR_USERNAME/Sites;
 
    access_log  /Library/Logs/default.access.log  main;
 
    location / {
        include   /usr/local/etc/nginx/conf.d/php-fpm;
    }

richardscarrott

An exploration of the different render methods available in react-enzyme.

onjin

postgres:
  image: postgres:9.4
  volumes:
    - ./init.sql:/docker-entrypoint-initdb.d/init.sql

kekru

Run commands on remote Docker host

This is how to connect to another host with your docker client, without modifying your local Docker installation or when you don't have a local Docker installation.

Enable Docker Remote API

First be sure to enable the Docker Remote API on the remote host.

This can easily be done with a container.
For HTTP connection use jarkt/docker-remote-api.

developit

const MODULE_DIR = /(.*([\/\\]node_modules|\.\.)[\/\\](@[^\/\\]+[\/\\])?[^\/\\]+)([\/\\].*)?$/g;

{
	loader: 'babel-loader',
	test: /\.jsx?$/,
	include(filepath) {
		if (filepath.split(/[/\\]/).indexOf('node_modules')===-1) return true;
		let pkg, manifest = path.resolve(filepath.replace(MODULE_DIR, '$1'), 'package.json');
		try { pkg = JSON.parse(fs.readFileSync(manifest)); } catch (e) {}
		return !!(pkg.module || pkg['jsnext:main']);

dusanmarsa

var IMAGE_MIME_REGEX = /^image\/(p?jpeg|gif|png)$/i;

var loadImage = function (file) {
    var reader = new FileReader();
    reader.onload = function(e){
        var img = document.createElement('img');
        img.src = e.target.result;
        
        var range = window.getSelection().getRangeAt(0);
        range.deleteContents();

ceejbot

ESM modules in node: npm edition

The proposal you’re about to read is not just a proposal. We have a working implementation of almost everything we discussed here. We encourage you to checkout and build our branch: our fork, with the relevant branch selected. Building and using the implementation will give you a better understanding of what using it as a developer is like.

Our implementation ended up differing from the proposal on some minor points. As our last action item before making a PR, we’re writing documentation on what we did. While I loathe pointing to tests in lieu of documentation, they will be helpful until we complete writing docs: the unit tests.

This repo also contains a bundled version of npm that has a new command, asset. You can read the documentation for and goals of that comma

gilrosenthal

!pip install fastai
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
from os import path
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())

accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'

!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.3.0.post4-{platform}-linux_x86_64.whl torchvision

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail