Matthew Bernhardt matt-bernhardt

This is a demonstration Mermaid diagram which implements a description tag. Does the VoiceOver screenreader find it?

graph LR;
      accTitle: Big Decisions;
      accDescr: This is the description for this Mermaid diagram. The diagram depicts the Bob's Burgers process for making big decisions;
      A[Identify Big Descision] --> B{Make Big Decision};
      B --> D[Be done];

If you are hearing this text, then you have left the diagram, and should have already heard the description contents.

---
title: Theory of search
---
flowchart
  direction LR
  Capture --> Interpret
  Interpret --> Match
  Match --> Rank
 Rank --&gt; Present

ID	Team	Year1	Pts1	GP1	PPG1	Playoffs1	Playoffs1Int	Year2	Pts2	GP2	PPG2	Playoffs2	Playoffs2Int
1	Colorado Rapids	1996	29	32	0.9063	Did Not Qualify	0	1997	38	32	1.1875	Finalist	4
2	Columbus Crew	1996	37	32	1.1563	Quarterfinalist	2	1997	39	32	1.2188	Semifinalist	3
3	D.C. United	1996	46	32	1.4375	Champion	5	1997	55	32	1.7188	Champion	5
4	FC Dallas	1996	41	32	1.2813	Quarterfinalist	2	1997	42	32	1.3125	Semifinalist	3
5	Los Angeles Galaxy	1996	49	32	1.5313	Finalist	4	1997	44	32	1.375	Quarterfinalist	2
6	New England Revolution	1996	33	32	1.0313	Did Not Qualify	0	1997	37	32	1.1563	Quarterfinalist	2
7	New York Red Bulls	1996	39	32	1.2188	Quarterfinalist	2	1997	35	32	1.0938	Did Not Qualify	0
8	San Jose Earthquakes	1996	39	32	1.2188	Quarterfinalist	2	1997	30	32	0.9375	Did Not Qualify	0
9	Sporting Kansas City	1996	41	32	1.2813	Semifinalist	3	1997	49	32	1.5313	Quarterfinalist	2

This content has been migrated to https://github.com/MITLibraries/vvv-custom

This should allow you to get a rudimentary copy of the MIT Libraries' WordPress network running under your VVV box.

Defining the network

Clone https://github.com/Varying-Vagrant-Vagrants/VVV **Do not run vagrant up yet
Clone vvv-custom.yml into the vagrant root from this repository (as a sibling to vvv-config.yml)

	@-moz-document url-prefix("https://mit.primo.exlibrisgroup.com/discovery/search?vid=01MIT_INST:MIT&lang=en") {
	/* Insert code here... */
	body {
	font-size: 16px;
	}
	div.header {
	border-top: 2rem solid white;
	}
	.__xl div.header {
	border-top-color: red;

	-- Bundled by luabundle {"rootModuleName":"Yellow Machine.46ccee.lua","version":"1.6.0"}
	local __bundle_require, __bundle_loaded, __bundle_register, __bundle_modules = (function(superRequire)
	local loadingPlaceholder = {[{}] = true}

	local register
	local modules = {}

	local require
	local loaded = {}

	from __future__ import absolute_import
	import csv
	from time import time
	from sklearn.model_selection import train_test_split
	from sklearn.feature_extraction import text
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.decomposition import LatentDirichletAllocation

	# This attempts to perform LDA on the text of the notes from ArchivesSpace.

	<?php
	/**
	* Plugin Name: MITlib Content Model
	*
	* @package mitlib-content-model
	* @version 0.0.1
	*/

	/**
	* Register content types

Navigation Menu

Matthew Bernhardt matt-bernhardt

This content has been migrated to https://github.com/MITLibraries/vvv-custom

Defining the network