robertfeldt’s gists

robertfeldt / got_sw3_generate_text_example.jl

Created January 27, 2023 15:48

Example of generating text with GPT-SW3 from Julia

	# Setup step 0: Build PyCall.jl for right Python binary
	#
	# Might be needed to ensure the right python is used, here for my homebrew
	# installed python3 on a M1 MacBook Pro:
	# ENV["PYTHON"] = "/opt/homebrew/bin/python3"
	# using Pkg
	# Pkg.build("PyCall")

	# Setup step 1: Ensuring you have access to GPT-SW3 by setting up a token on Hugging Face
	# a. login on HF: https://huggingface.co/login

robertfeldt / boxes_puzzle.jl

Created July 6, 2022 03:14

Checking the "Boxes puzzle" solution strategy via stochastic simulation

	# Checking the "Boxes puzzle" solution strategy via stochastic simulation.
	# [email protected] 2022

	using Random # We need randperm below

	# Fill N boxes by getting a random permutation of length N.
	fillboxes(N) = randperm(N)

	# Given a strategy, simulate its use by N people and return true iff strategy
	# worked for them all.

Created October 21, 2020 11:54

Optimized speeding up of StringDistances.jl qgram distances with precalculation of qgram counts (here in a sorted array of counts per qgram)

	using StringDistances

	function countdict(qgrams)
	d = Dict{eltype(qgrams), Int32}()
	for qg in qgrams
	index = Base.ht_keyindex2!(d, qg)
	if index > 0
	d.age += 1
	@inbounds d.keys[index] = qg
	@inbounds d.vals[index] = d.vals[index][1] + 1

Created October 21, 2020 08:06

Speeding up StringDistances.jl qgram distances with precalculation of qgram counts (here in a sorted array of counts per qgram)

	using StringDistances

	function countdict(qgrams)
	d = Dict{eltype(qgrams), Int32}()
	for qg in qgrams
	index = Base.ht_keyindex2!(d, qg)
	if index > 0
	d.age += 1
	@inbounds d.keys[index] = qg
	@inbounds d.vals[index] = d.vals[index][1] + 1

robertfeldt / speeding_up_qgram_distances_with_precalculation.jl

Created October 20, 2020 09:36

Speeding up StringDistances.jl qgram distances with precalculation of qgram counts (here in count dict)

	using StringDistances

	function countdict(qgrams)
	d = Dict{eltype(qgrams), Int32}()
	for qg in qgrams
	index = Base.ht_keyindex2!(d, qg)
	if index > 0
	d.age += 1
	@inbounds d.keys[index] = qg
	@inbounds d.vals[index] = d.vals[index][1] + 1

robertfeldt / dynamically_updating_VegaLite_from_Julia.jl

Created March 18, 2020 15:44

VegaLite frontend with data pushed over websocket from Julia backend

	using HTTP, JSON

	const VegaLiteWebsocketFrontEndTemplate = """
	<!DOCTYPE html>
	<head>
	<meta charset="utf-8">
	<script src="https://cdn.jsdelivr.net/npm/vega@3"></script>
	<script src="https://cdn.jsdelivr.net/npm/vega-lite@2"></script>
	<script src="https://cdn.jsdelivr.net/npm/vega-embed@3"></script>
	</head>

robertfeldt / multithreaded_optimization.jl

Last active January 4, 2020 13:19

MultiThreadedEvaluator testing and example scripts

	if Threads.nthreads() < 2
	exit("Multiple threads NOT found! Makes no sense to test this without them... Start as, for example: JULIA_NUM_THREADS=4 julia multithreaded_optimization.jl")
	end

	using BlackBoxOptim

	# Functions to optimize. Should be thread-safe.
	function rosenbrock(x)
	sleep(0.01) # So that there is some benefit in the thread switching...
	sum(i -> 100*abs2(x[i+1] - x[i]^2) + abs2(x[i] - 1), Base.OneTo(length(x)-1))

robertfeldt / fake_emsej_review_data.json

Last active September 30, 2019 14:55

EMSEJ Paper Review Data

robertfeldt / icse19_attendees_per_capita.jl

Last active May 30, 2019 15:30

	# Output when running this script:
	# ICSE 2019 attendees per million capita:
	# 1. Luxembourg, 15, 25.126
	# 2. Canada, 330, 8.852
	# 3. Sweden, 41, 4.078
	# 4. Ireland, 16, 3.301
	# 5. Switzerland, 27, 3.137
	# 6. Singapore, 17, 2.897
	# 7. Norway, 15, 2.777
	# 8. Netherlands, 32, 1.868

robertfeldt / emse_april17_paper_downloads.jl

Created April 26, 2017 06:12

	using HypothesisTests

	# Checked num downloads from each papers page in SpringerLink 2017-04-26 08:05 CET
	OpenAccessPaperDownloads = [2400, 589] # says 2.4k downloads, approximates with 2400
	NonOAPaperDownloads = [134, 126, 85, 104, 56, 228, 112]

	println(pvalue(MannWhitneyUTest(OpenAccessPaperDownloads, NonOAPaperDownloads)))
	# p-value is 0.055
	# Executed 2017-04-26 08:10 CET on MacBook Pro 13" 2015 running Julia 0.5.1 with HypothesisTests version 0.5.1

Robert Feldt robertfeldt