stuartlangridge

#!/usr/bin/env python3

import requests
import requests_cache
import urllib.parse
import os.path

requests_cache.install_cache(os.path.join(os.path.dirname(__file__), 'million_sellers'))

#https://www.officialcharts.com/chart-news/the-best-selling-singles-of-all-time-on-the-official-uk-chart__21298/

stuartlangridge

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.

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.

stuartlangridge

This is a SCRIPT-8 cassette.

stuartlangridge

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])

stuartlangridge

#!/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()

stuartlangridge

~/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

stuartlangridge

"""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, 

stuartlangridge

#!/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.

stuartlangridge

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: