Nigel Thorne NigelThorne

## karabiner.json
"complex_modifications": {
                "rules": [
                    {
                        "manipulators": [
                            {
                                "description": "Change caps_lock to command+control+option+shift. Escape if no other key used.",
                                "from": {
                                    "key_code": "caps_lock",
                                    "modifiers": {
                                        "optional": [

## howto-manually-add-trust-cert-to-rubygems.md

      
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                / howto-manually-add-trust-cert-to-rubygems.md
            
            
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              April 9, 2016 06:37
            
              
                Workaround RubyGems' SSL errors on Ruby for Windows (RubyInstaller)
              
          
    SSL upgrades on rubygems.org and RubyInstaller versions

UPDATE 2014-12-21: RubyGems 1.8.30, 2.0.15 and 2.2.3 have been released.
It requires manual installation, please see instructions below.

Hello,
If you reached this page, means you've hit this SSL error when trying to

  
## _service.md

      
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              August 29, 2015 14:15
                — forked from naholyr/_service.md
            
          
    Sample service script for debianoids

Look at LSB init scripts for more information.
Usage

Copy to /etc/init.d:
# replace "$YOUR_SERVICE_NAME" with your service's name (whenever it's not enough obvious)

  
## cache_cache.rb
require 'memcached'

# Provides a hybrid of memoization and memcacheing. Designed for storing an entire (small)
# table in memory, in every instance of the app. Works well for reference-type tables
# (e.g., Category) which won't ever get big or change often, but are read-heavy. This
# allows you to avoid joins, but also avoid the n+1 queries antipattern.
#
# A pure memoization solution fails when the data *does* change -- all app instances have
# to be restarted for the in-memory caches to be correct. A pure memcached solution solves
# that, but requires a largish amount of data to be retrieved from memcached for every
	"complex_modifications": {
	"rules": [
	{
	"manipulators": [
	{
	"description": "Change caps_lock to command+control+option+shift. Escape if no other key used.",
	"from": {
	"key_code": "caps_lock",
	"modifiers": {
	"optional": [
	require 'memcached'

	# Provides a hybrid of memoization and memcacheing. Designed for storing an entire (small)
	# table in memory, in every instance of the app. Works well for reference-type tables
	# (e.g., Category) which won't ever get big or change often, but are read-heavy. This
	# allows you to avoid joins, but also avoid the n+1 queries antipattern.
	#
	# A pure memoization solution fails when the data does change -- all app instances have
	# to be restarted for the in-memory caches to be correct. A pure memcached solution solves
	# that, but requires a largish amount of data to be retrieved from memcached for every