DPatrickBoyd

#!/bin/bash

# Change the date under CUTOFF_DATE to change how far back you want to delete
# Install the GitHub CLI tool by following the instructions in the official documentation: https://cli.github.com/manual/installation
# Make sure you auth first to github with 'gh auth login'

REPO_OWNER="OWNER"
REPO_NAME="REPO_NAME"
CUTOFF_DATE=$(date --date='30 days ago' +'%Y-%m-%dT%H:%M:%SZ')
PAGE=1

qwe321qwe321qwe321

With GitHub Actions, a workflow can publish artifacts, typically logs or binaries. As of early 2020, the life time of an artifact is hard-coded to 90 days (this may change in the future). After 90 days, an artifact is automatically deleted. But, in the meantime, artifacts for a repository may accumulate and generate mega-bytes or even giga-bytes of data files.

It is unclear if there is a size limit for the total accumulated size of artifacts for a public repository. But GitHub cannot reasonably let multi-giga-bytes of artifacts data accumulate without doing anything. So, if your workflows regularly produce large artifacts (such as "nightly build" procedures for instance), it is wise to cleanup and delete older artifacts without waiting for the 90 days limit.

Using the Web page for the "Actions" of a repository, it is possible to browse old workflow runs and manually delete artifacts. But the procedure is slow and tedious. It is fine to delete one selected artifact. It is not for a regular cleanup. We need

szhu

#!/bin/bash
# Set your desktop background to your screen saver.
# Install and activate with:
#   curl -fsSL https://git.io/vMgM9 | bash
#
# The screen saver is visible only on desktops created before the screen saver
# was started. If you create a desktop and wish to see the screen saver on it
# immediately, just do:
#   open -a ScreenSaverEngine
# to bring it in front of the default desktop background. You can also add

jjones646

# Put this file in /etc/udev/rules.d/ and run this command:
#     $ /etc/init.d/udev restart

# This file contains the udev rule for allowing access to a Yubikey for U2F authentication.

ACTION!="add|change", GOTO="yubikey_u2f_end"
KERNEL=="hidraw*", SUBSYSTEM=="hidraw", ATTRS{idVendor}=="1050", ATTRS{idProduct}=="0113|0114|0115|0116|0120|0402|0403|0406|0407|0410", TAG+="uaccess"
LABEL="yubikey_u2f_end"

Airblader

#!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
# vim:ts=2:sw=2:expandtab

import os
import xcb
from xcb.xproto import *
from PIL import Image

XCB_MAP_STATE_VIEWABLE = 2

nocnokneo

cmake_minimum_required(VERSION 2.8.11)

project(VtkFboInQtQuick)

set(CMAKE_INCLUDE_CURRENT_DIR ON)
set(CMAKE_AUTOMOC ON)

find_package(VTK REQUIRED)
include(${VTK_USE_FILE})

takeshixx

#!/usr/bin/env python2
"""
Author: takeshix <[email protected]>
PoC code for CVE-2014-0160. Original PoC by Jared Stafford ([email protected]).

Supportes all versions of TLS and has STARTTLS support for SMTP,POP3,IMAP,FTP and XMPP.
"""

import sys,struct,socket
from argparse import ArgumentParser

kconragan

# Mac OS X Lion introduced a new, iOS-like context menu when you press and hold a key
# that enables you to choose a character from a menu of options. If you are on Lion
# try it by pressing and holding down 'e' in any app that uses the default NSTextField
# for input.
#
# It's a nice feature and continues the blending of Mac OS X and iOS features. However,
# it's a nightmare to deal with in Sublime Text if you're running Vintage (Vim) mode,
# as it means you cannot press and hold h/j/k/l to move through your file. You have
# to repeatedly press the keys to navigate.

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

sigerello

#!/bin/sh
# chkconfig: 2345 85 15
# description: init.d script for single or multiple unicorn installations. Expects at least one .conf file in /etc/unicorn
# processname: unicorn
#
## A sample /etc/unicorn/my_app.conf
## 
## RAILS_ENV=production
## RAILS_ROOT=/var/apps/www/my_app/current
#