manveru

package main

import (
  "sdl"
  "gl"
  "time"
  . "math"
  . "fmt"
)

gourneau

#!/usr/bin/python

# This work is licensed under the Creative Commons Attribution 3.0 United 
# States License. To view a copy of this license, visit 
# http://creativecommons.org/licenses/by/3.0/us/ or send a letter to Creative
# Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA.

# from http://oranlooney.com/make-css-sprites-python-image-library/ 
# Orignial Author Oran Looney <olooney@gmail.com>

slikts

#wrapper_header,
#adtop,
#topchapter,
#bottomchapter,
#adfooter,
#zoomer,
#wrapper_footer,
.zoomimg {
    display: none;
}

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

jpillora

package main

import (
	"log"
	"net/smtp"
)

func main() {
	send("hello there")
}

harlow

Golang Workers / Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

jbrodriguez

package pool

type Task interface {
	Execute(id int)
}

type Pool struct {
	tasks chan Task
	kill  chan bool
}

liulixiang1988

import os
# We'll render HTML templates and access data sent by POST
# using the request object from flask. Redirect and url_for
# will be used to redirect the user once the upload is done
# and send_from_directory will help us to send/show on the
# browser the file that the user just uploaded
from flask import Flask, render_template, request, redirect, url_for, send_from_directory
from werkzeug import secure_filename

# Initialize the Flask application

qhwa

package main

import (
	"fmt"
	"io"
	"net"
)

func main() {
	ln, err := net.Listen("tcp", ":8080")

haasn

-- Allow changing a property with by zoom-adjusted amount
function zoom_invariant_add(prop, amt)
    amt = amt / 2 ^ mp.get_property_number("video-zoom")
    mp.set_property_number(prop, mp.get_property_number(prop) + amt)
end

-- Resets the pan if the entire image would be visible
function zoom_check_center()
    local zoom = mp.get_property_number("video-zoom")
    local rot = mp.get_property_number("video-rotate") * math.pi / 180