no-reply

# The ruby-rdf vocabulary loader is used to maintain the vocabularies in the core library.
# There's a rake task that is the main way it is used and serves as a good reference.
# https://github.com/ruby-rdf/rdf/blob/develop/Rakefile

rake gen_vocabs

# Generate lib/rdf/vocab/cc.rb
# Generate lib/rdf/vocab/cert.rb
# Generate lib/rdf/vocab/dc.rb
# Generate lib/rdf/vocab/dc11.rb

escowles

{
    "states": ["pending", "metadata_review", "final_review", "complete", "flagged", "takedown"],
    "state_groups":[
      {"name":"suppressed", "states":["pending", "metadata_review", "final_review", "takedown"]}
    ],
    "events":[
      { "from":"pending",         "to":"metadata_review", "name":"finalize_digitization" },
      { "from":"metadata_review", "to":"final_review",    "name":"finalize_metadata" },
      { "from":"final_review",    "to":"complete",        "name":"complete" },
      { "from":"complete",        "to":"takedown",        "name":"takedown" },

no-reply

# RdfResource is a subclass of RDF::Graph with property configuration, accessors, and some other methods 
# for managing "resources" as discrete subgraphs which can be managed by a Hydra datastream model.
#
# The relevant modules and class are:
# 
# https://github.com/OregonDigital/oregondigital/tree/master/lib/oregon_digital/rdf/rdf_configurable.rb
# https://github.com/OregonDigital/oregondigital/tree/master/lib/oregon_digital/rdf/rdf_properties.rb
# https://github.com/OregonDigital/oregondigital/tree/master/lib/oregon_digital/rdf/rdf_resource.rb

bnode = OregonDigital::RDF::RdfResource.new

bradmontgomery

# Install rvm system-wide
bash -s stable < <(curl -s https://raw.github.com/wayneeseguin/rvm/master/binscripts/rvm-installer )

# Update the packages
apt-get update
apt-get upgrade
apt-get install build-essential

# get the packages required by ruby
rvm pkg install zlib

mnot

#!/usr/bin/env python

"""
HTTP Link Header Parsing

Simple routines to parse and manipulate Link headers.
"""

__license__ = """
Copyright (c) 2009 Mark Nottingham

edsu

#!/usr/bin/env python

"""
Hack to look for user agent strings in typical Apache style log and 
count up the number of requests by bots vs non-bots. The list of bot
user agents comes from http://www.user-agents.org/ but has had some
agents added to it, since the user-agents.org list is pretty out of date, e.g.
no Bing?!
"""

zhengjia

=Navigating=
    visit('/projects')
    visit(post_comments_path(post))

=Clicking links and buttons=
    click_link('id-of-link')
    click_link('Link Text')
    click_button('Save')
    click('Link Text') # Click either a link or a button
    click('Button Value')

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = martin.larralde@embl.de
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

peterjmit

#!/bin/bash
# REQUIRES SUDO
# Benchmark runner

repeats=20
output_file='benchmark_results.csv'
command_to_run='echo 1'

run_tests() {
    # --------------------------------------------------------------------------

cosimo

#!/bin/bash
#
# Example of how to parse short/long options with 'getopt'
#

OPTS=`getopt -o vhns: --long verbose,dry-run,help,stack-size: -n 'parse-options' -- "$@"`

if [ $? != 0 ] ; then echo "Failed parsing options." >&2 ; exit 1 ; fi

echo "$OPTS"