Stuart Langridge stuartlangridge

Note that this is a very quick thing. In particular, it only handles two levels of documentation in the manual, and it doesn't include images. Both would need to be fixed for this to actually be useful; however, this was entirely sufficient to drop a copy onto my phone where I could read it while my stupid mobile operator pretends to fix my network, sigh, etc.

This is a SCRIPT-8 cassette.

A thing to convert a Gimp image of multiple layered sprites into a sprite sheet.

The way I make pixel art sprites is this: imagine you're drawing, say, a knight. I have all the frames for that knight in one great big Gimp XCF image, organised into groups.

So there's a layer group called "Running"; this defines a whole sprite, in multiple frames. In there, there's a set of layer groups, one per frame, called "Running 1" to "Running 9" (for example). In "Running 1", there's one or more layers which all go together to form that one single frame. This works out neatly because you can make an individual frame out of a few different parts, and edit those parts separately. This makes it easy to copy unchanging parts from one frame to the next, while just changing the bits that are different.

Keybase proof

I hereby claim:

I am stuartlangridge on github.
I am sil (https://keybase.io/sil) on keybase.
I have a public key ASDGq9mbJlRG62EgMM5EdILRa4w4G3NimkeoCWxL6bQbQwo

To claim this, I am signing this object:

	const getSvgNamesForNodes = () => {
	// this is guesswork. When Figma has two nodes with the same name (say, "Union"),
	// it serialises them into SVG with names "Union" and "Union_2", but it's not
	// clear which one becomes "Union" and which "Union_2". It is theorised that this
	// is done in the same order that .findAll returns, so we make use of that.
	// Figma might decide to change this at any time, of course. It would be much
	// nicer if there were an SVG export option which also serialised getPluginData()
	// data as data-* attributes in the output SVG, but there isn't, yet.
	let names = {};
	let nameIndices = {};

	import numpy as np
	import glob
	import markdown
	import re
	from bs4 import BeautifulSoup

	def make_pairs(corpus):
	for i in range(len(corpus)-1):
	yield (corpus[i], corpus[i+1])

	#!/usr/bin/env python3
	"""Daft script to count MPs by first name.
	Expects to find people.json from https://github.com/mysociety/parlparse/tree/master/members
	Run as "python3 mpnames.py Keir" or similar.
	Written to answer Jess Phillips' question at https://twitter.com/sil/status/958750576900296706
	"""
	import json, pprint, sys
	fp = open("people.json", encoding="utf-8")
	data = json.loads(fp.read())
	fp.close()

	~/Scra+/ralight-configs $ python3 -c "import json; print(json.load(open('broken-config.json')))"
	[snip]
	json.decoder.JSONDecodeError: Expecting ',' delimiter: line 10 column 20 (char 151)

	~/Scra+/ralight-configs $ python3 -c "import yaml; print(yaml.safe_load(open('broken-config.yaml')))"
	[snip]
	yaml.scanner.ScannerError: while scanning a simple key
	in "broken-config.yaml", line 9, column 5
	could not found expected ':'
	in "broken-config.yaml", line 10, column 18

	"""2017 general election
	Given the vote totals, we have a hung parliament. Work out how coalitions
	might be put together and display possibilities.
	"""
	import itertools

	# vote totals correct as of about 10.30am Friday 9th June 2017
	votes= {
	'Conservative': 318, 'Sinn Fein': 7, 'DUP': 10,
	'Sylvia Hermon': 1, 'Plaid Cymru': 4, 'Labour': 261, 'SNP': 35,

	#!/usr/bin/env python3
	"""Parses the text of Unsong, and the list of chapter initials, and finds
	longest common subsequences. The idea here is that if the notarikon formed
	by the first letter of each chapter conceals a secret message, then perhaps
	parts of that message have already been revealed in the book... so if there
	were "NIEAC" is somewhere in the list of chapter initials, then that probably
	stands for "Nothing Is Ever A Coincidence", as per the many times that phrase
	is mentioned. Idea from 75thTrombone at
	https://www.reddit.com/r/unsong/comments/69k1im/preemptive_final_exam_suggestion/
	This script calculates those substrings. The answers are not all that promising.