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context = document.createElement('canvas').getContext("2d");
measure = (s) => context.measureText(s).width;
input = document.querySelector("input");
context.font = window.getComputedStyle(input).font;
searchHeight = parseInt(window.getComputedStyle(input).height, 10);

tokens = ['from:', 'to:', 'mention:', 'mentioned:'];

function makeDiv() {
    let div = document.createElement('div');

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Start an instance

• Go to AWS. https://console.aws.amazon.com.
• Be sure to set the region as North Virginia (us-east-1).
  • Many services are separated by region, and some services are only available in us-east-1.
  • us-east-1 is the safe/default choice.
  • The UI is also separated by region. If you aren't finding something that you thought you created, it might be in a different region.
• Navigate to EC2 and start the instance launch process.
• Search for the "deep learning" image. Choose an Ubuntu image. The first one is fine.
  • This image is useful if you don't want to figure out how to install specific libraries.
• In the long run, I recommend getting familiar with Dockerfiles.

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import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# from itertools import chain, combinations
from IPython.display import SVG


# named colors
_colors = matplotlib.colors.cnames

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## Interface: 30000
## Title: TargetNotes
## Notes: Store notes about a target.  The notes will be visible whenever the target is seen again.
## SavedVariables: TARGETNOTES_DB, TARGETNOTES_INDEX

database.lua
target_ui.xml
search_ui.xml
search_ui.lua
main.lua

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(* Cellular Automata on Cylindrical Geometry *)

graphicsSize = {600, 400};
gridControlHeight = 14;
shapeChoicesIconSize = {25, 25};

{widthDefault, widthMin, widthMax} = {40, 30, 60};
{iterationsDefault, iterationsMin, iterationsMax} = {60, 10, 80};

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/*
 * made for my website http://www.oftenpaper.net
 */

jQuery(document).ready( function($) {

    // construct is called on each flipbook
    var constructFlipbook = function( $, flipbook ) {
        var lis = flipbook.children('li');

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(* title: Graphical L-systems demonstration *)

(* a live version of this demonstration can be found at
   http://demonstrations.wolfram.com/GraphicalLSystems/ *)

imageSize = {400, 400};
thumbSize = {26, 26};
thumbPadding = 2;
nextStyle = {RGBColor[1, .6, .6], Dashing[1 / (40 + 3^(i+1))]};
maxIterations = 5; (* initialized so it's not Null *)

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;co - an implementation of symmetric coroutines/generators/iterators in Arc

;Arc is a Lisp dialect built on top of MzScheme. It uses that
;language's call-with-current-continuation (ccc in Arc).
;This code is so short it almost looks easy, but it took some
;headaches to figure out how to do it.

;Within the body, 'yield is the function which holds the exit
;continuation. Since it's a function, it can be passed around at
;will, such as into higher-order functions. (example below)

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package com.hudcalc.hudcalc;

import com.hudcalc.hudcalc.SymbolList.Symbol;

public class StateMachine
{
    // maximum input length for each number, in digits
    int maxLength = 8;
    
    enum State {

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#light

// parser-executer for a simple LOGO language

// was to form part of a larger project which I
// ultimately chose to pursue in C# with embedded Lua

module parser

open System