git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git
cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream
git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git
cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream
| #!/usr/bin/env ruby | |
| require 'base64' | |
| require 'openssl' | |
| require 'digest/sha1' | |
| require 'net/http' | |
| require "uri" | |
| require 'time' | |
| DEBUG = false |
Look at LSB init scripts for more information.
Copy to /etc/init.d:
# replace "$YOUR_SERVICE_NAME" with your service's name (whenever it's not enough obvious)Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000| FILE SPACING: | |
| # double space a file | |
| sed G | |
| # double space a file which already has blank lines in it. Output file | |
| # should contain no more than one blank line between lines of text. | |
| sed '/^$/d;G' |
When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:
const Article = require('../../../../app/models/article');Those suck for maintenance and they're ugly.
| // Logging levels: | |
| // | |
| // INFO | |
| // WARN | |
| // ERROR | |
| // FATAL | |
| // | |
| // Usage: | |
| // var log = require('./logger.js'); | |
| // |
This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.
A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:
Should be work with 0.18
Destructuring(or pattern matching) is a way used to extract data from a data structure(tuple, list, record) that mirros the construction. Compare to other languages, Elm support much less destructuring but let's see what it got !
myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))When receiving JSON data from other resources(server API etc), we need Json.Decode to convert the JSON values into Elm values. This gist let you quickly learn how to do that.
I like to follow working example code so this is how the boilerplate will look like:
import Graphics.Element exposing (Element, show)
import Task exposing (Task, andThen)
import Json.Decode exposing (Decoder, int, string, object3, (:=))
import Http