mattb’s gists

mattb / summarize_youtube.sh

Created January 1, 2024 23:43

Download the automatic subtitle track from Youtube and summarize it with a local LLM

	yt-dlp --skip-download --write-auto-sub --sub-format ttml --sub-lang en -o /tmp/out $1 &&
	(
	echo 'Summarize the following YouTube transcript:\n' > /tmp/out1
	cat /tmp/out.en.ttml \| grep ^\<p \| cut -d\> -f 2 \| cut -d \< -f 1 >> /tmp/out1
	cat /tmp/out1 \| ollama run mistral
	)

mattb / wordle-word-score.js

Created January 24, 2022 07:21

Calculating scores of first word choice in Wordle

	// node wordle-word-score.js \| sort -n
	const fs = require('fs');
	words = [];
	dict = [];
	idx = {};

	fs.readFileSync('wordledict.txt', 'utf-8').split(/\r?\n/).forEach(line => dict.push(line));
	fs.readFileSync('wordlewords.txt', 'utf-8').split(/\r?\n/).forEach(line => {
	words.push(line);
	line.split("").forEach((letter, i) => {

mattb / .eslintrc

Created May 26, 2017 18:41

	{
	"parserOptions": {
	"ecmaVersion": 8
	},
	"env": {
	"jest": true,
	"browser": true,
	"es6": true,
	"node": true
	},

mattb / gist:93fc9d4e81459c9c99e0

Created December 11, 2014 04:03

	- name: Docker registry
	docker: image=registry:0.9.0 ports=5000:5000 name=registry env="SETTINGS_FLAVOR=s3,AWS_BUCKET=docker-something,STORAGE_PATH=/registry,AWS_KEY=...,AWS_SECRET=...,SEARCH_BACKEND=sqlalchemy" state=running

mattb / gist:22a8b666c2390c16c26c

Created November 16, 2014 03:17

Twitter IDs from 12500 to 12578

	12500 - @phuly Phu
	12501 - @mathie Graeme Mathieson
	12502 - @BenJenkinson Ben Jenkinson
	12503 - @martinsmith Martin Smith
	12504 - @SteveMarshall Steve Marshall
	12505 - @IcepickFIA Calum Heriot
	12506 - @Marchdoe Doug March
	12507 - @pixielauren Lauren
	12508 - @willhowat Will Howat
	12509 - @jiserra Juan Ignacio

mattb / gist:4ea44894266f0665eead

Created November 16, 2014 03:13

Twitter IDs from @tomcoates to @mattb

	12514 - @tomcoates Tom Coates
	12515 - @indranil Indranil Dasgupta
	12517 - @Neil_Ford Neil Ford
	12520 - @LittleRita Rita
	12521 - @josephinesiew Josephine Phua
	12522 - @cc_chapman C.C. Chapman
	12523 - @KDAWG KRISTIN
	12526 - @paul_howard Paul Howard
	12527 - @pincushiontreat Melizza
	12528 - @jw Josh Williams

mattb / gist:ef33b87dd6f2ff623959

Created September 18, 2014 16:21

	### Keybase proof

	I hereby claim:

	* I am mattb on github.
	* I am mattb (https://keybase.io/mattb) on keybase.
	* I have a public key whose fingerprint is 7BB0 E602 A356 DED9 D06D 694D 5A78 41CB AD19 4BE3

	To claim this, I am signing this object:

mattb / gist:90b7d6f9bc1f96ddb3af

Last active August 29, 2015 14:03

Check the mayday.us total once every 60 seconds and print stats.

ruby -rjson -ropen-uri -e 'last = - 1; while true; dollars=(JSON.parse(open("https://pledge.mayday.us/r/total").read)["totalCents"] - 100000000)/100; puts "$#{dollars} raised. $#{5000000-dollars} to go.#{last == -1 ? "" : " #{sprintf("%6s", "$"+(dollars-last).to_s)} in the last 60 seconds. #{"*" * ((dollars-last)/250.0).round}"}"; last = dollars;  sleep 60 ; end'

mattb / gist:d5e4750176275c13e300

Created June 19, 2014 07:26

ASCII-histogram of distribution of distances of NYC cab rides in 2013 - see https://gist.github.com/mattb/da8d779573a10300e512

	************************************************************** 0.25 miles
	***************************************************************************************************************** 0.5 miles
	**************************************************************************************************************************** 0.75 miles
	************************************************************************************************************************* 1.0 miles
	*********************************************************************************************************** 1.25 miles
	************************************************************************************************* 1.5 miles
	************************************************************************************ 1.75 miles
	*************************************************************************** 2.0 miles
	***************************************************************** 2.25 miles
	*********************************************************** 2.5 miles

mattb / gist:da8d779573a10300e512

Last active August 29, 2015 14:02

Calculating the median distance and time of NYC taxi rides in 2013

	// transcribed from an Apache Spark 1.0 spark-shell session
	// using data from http://chriswhong.com/open-data/foil_nyc_taxi/
	// and the QTree algorithm for approximate quantiles over large datasets
	// each of the distanceRange and minutesRange calculations below takes about 15 minutes on my four-core SSD-based Macbook Pro

	import com.twitter.algebird._
	import com.twitter.algebird.Operators._
	implicit val qtSemigroupD = new QTreeSemigroup[Double](6)

	val in = sc.textFile("trip_data") // a directory containing all the trip_data*.csv files downloaded from the above link

Matt Biddulph mattb