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  <canvas id="myCanvas" width="578" height="500"></canvas>
  <script type="text/javascript">
		var canvas = document.getElementById('myCanvas');
		var context = canvas.getContext('2d');
		
		


		context.lineWidth = 10;

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  <canvas id="myCanvas" width="578" height="500"></canvas>
  <script type="text/javascript">
		var canvas = document.getElementById('myCanvas');
		var context = canvas.getContext('2d');
		
		


		context.lineWidth = 10;

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<?php if (WP_THEME_DEBUG) { ?>
<script>
var require = {
	baseUrl: '<?php echo get_template_directory_uri(); ?>/js/',
	paths: {
		'jquery': 'libs/jquery-1.7.2.min',
		'jquery.mousewheel': 'libs/jquery.mousewheel'
	},
	shim: {
		'jquery.mousewheel': ['jquery']

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Zero downtime deploys with unicorn + nginx + runit + rvm + chef

Below are the actual files we use in one of our latest production applications at Agora Games to achieve zero downtime deploys with unicorn. You've probably already read the GitHub blog post on Unicorn and would like to try zero downtime deploys for your application. I hope these files and notes help. I am happy to update these files or these notes if there are comments/questions. YMMV (of course).

Other application notes:

• Our application uses MongoDB, so we don't have database migrations to worry about as with MySQL or postgresql. That does not mean that we won't have to worry about issues with the database with indexes being built in MongoDB or what have you.
• We use capistrano for deployment.

Salient points for each file:

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add_theme_support( 'menus' ); 

/*
http://codex.wordpress.org/Function_Reference/register_nav_menus#Examples
*/
register_nav_menus( array(
	'main-menu' => 'Main Menu' // registers the menu in the WordPress admin menu editor
) );

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OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

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<?php
/*
Plugin Name: Disable Comment Querying
Description: Disables comment queries
Version: 0.1
License: GPL version 2 or any later version
Author: Mark Jaquith
Author URI: http://coveredwebservices.com/
*/

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Tensorflow 1.7 with CUDA on macOS High Sierra 10.13.4 for eGPU

Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.

Requirements

• NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
• CUDA-Drivers 387.178
• CUDA 9.1 Toolkit

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Tensorflow 1.7 with CUDA on macOS High Sierra 10.13.3 and default python 2.7

Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27.

Requirements

• NVIDIA Web-Drivers 387.10.10.10.25.156 for 10.13.3
• CUDA-Drivers 387.178
• CUDA 9.1 Toolkit
• cuDNN 7.0.5 (latest release for mac os)

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Tensorflow 1.6 on macOS High Sierra 10.13.3 with GPU Acceleration (without disabling SIP)

This gist (based on a blog post at byai.io) documents how to set up TensorFlow 1.6 with (e)GPU support without the need to disable SIP. Following the original gist got me a saystem in which training TF on eGPU was successful, but there were various visual glitches due to the newer / less stable version of the driver.

As pointed out by ronchigram, many people are having issues with newer NVIDIA drivers, so it's worth using the nvidia-update script by Benjamin Dobell that installs the latest stable NVIDIA web driver, and if necessary patches it to run on your system. We also don't need to disable SIP when using nvidia-update.

I have als