alexose

#!/bin/bash

if [ "$#" -ne 3 ]; then
    echo "Usage: $0 <image1> <image2> <image3>"
    exit 1
fi

image1="$1"
image2="$2"
image3="$3"

alexose

/* 
 * YouTube to Podcast using Node.js and not much else
 *
 * I got annoyed by all of the clunky and/or paid solutions to this problem, so I
 * thought I'd just roll my own.  My guess was that it'd be about 200 lines of code,
 * and I wasn't too far off.  It's not perfect but it works and it's relatively easy
 * to follow.
 *
 * No half-hour Docker installs or 20gb Go libraries to download.  Just throw it on a 
 * free EC2 micro server and serve the files using nginx like the good ol days.  It

alexose

const PlexAPI = require("plex-api");
const spawn = require("child_process").spawn;
const http = require("http");

const identifier = "cli12345";
const session = "123456789";
const dvr = 7; // Find by querying '/livetv/dvrs' and looking for tv.plex.providers.epg.cloud:<number>
const channel = process.argv[2];

if (!channel) {

alexose

Keybase proof

I hereby claim:

• I am alexose on github.
• I am alexose (https://keybase.io/alexose) on keybase.
• I have a public key ASAhtsPORvCBn7MyJcmks4HZpcK9E1yFUIKzW9fXyAnNMAo

To claim this, I am signing this object:

alexose

// location: ./assertions/compareScreenshot.js
var resemblejs = require('node-resemble-js'),
    fs = require('fs');

exports.assertion = function(filename, expected) {
    var screenshotPath = 'test/screenshots/',
        baselinePath = screenshotPath + 'baseline/' + filename,
        resultPath = screenshotPath + 'results/' + filename,
        diffPath = screenshotPath + 'diffs/' + filename;

alexose

Zoomable raster world map on an Lambert Conic Conformal aka Massachusetts State Plane.

Based off Jason Davies map which is a combination of Mike Bostock’s raster reprojection, automatic projection tiles and a MapBox terrain example.

Thanks to Mike Bostock and Nelson Minar for their comments and encouragement! And Obviously Jason Davies for making the original.

alexose

A demo of Mike Bostock’s TopoJSON using states & provinces boundaries from Natural Earth.

With simplification turned on (-s 100), this reduces the original 57MB GeoJSON file to a mere 515KB!