osnr

If you have a Screenotate screenshot HTML file open in your browser, clicking this bookmarklet will search your old tweets from around the time you took the screenshot, so you can find your original tweet of it (if it exists).

Make a new bookmark with the below as URL, replacing from:rsnous with from:YourTwitterUsername:

javascript:void%20function(){const%20a=new%20Date(document.body.innerHTML.match(/%3Cdd%3E(\d\d\d\d\-\d\d\-\d\d)/)[1]),b=new%20Date(a.getTime());b.setDate(b.getDate()-1);const%20c=new%20Date(a.getTime());c.setDate(c.getDate()+1);const%20d=`from:rsnous%20since:${b.toISOString().slice(0,10)}%20until:${c.toISOString().slice(0,10)}`;window.location.href=`https://twitter.com/search%3Fq=${encodeURIComponent(d)}`}();

Or construct the bookmarklet URL yourself -- here's the source code:

PonteIneptique

<?xml version="1.0" encoding="UTF-8"?>
<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
    xmlns:xs="http://www.w3.org/2001/XMLSchema"
    xmlns:saxon="http://saxon.sf.net/"
    xmlns:my="foo.bar" 
    exclude-result-prefixes="xs my saxon uuid"
    xpath-default-namespace="http://www.w3.org/1999/xhtml"
    version="2.0"
    
    xmlns:uuid="java:java.util.UUID">

JPLeBreton

#!/usr/bin/python

import os, sys, zipfile, tempfile

# wadls (pronounced "waddles", thx joshthenesnerd) - list all maps in a wad/zip/pk3

# requires omgifol module, set path to it here or in env variable
OMG_PATH = os.environ.get('OMG_PATH', None) or '/home/jpl/projects/wadsmoosh'
sys.path.append(OMG_PATH)
import omg

lovasoa

#!/usr/bin/env bash
# Dichotomic search in bash
# This is a bash-specific function that uses bash features.
# This is not guaranteed to work in other shells.
#
# Usage:
#     source dichotomic-bash.sh
#     result=$(dichotomic_search min max command)
#
# Returns the largest i for which `command i` succeeds (exits with a null exit code)

bruce30262

You might want to read this to get an introduction to armel vs armhf.

If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.

Running ARM programs under linux (without starting QEMU VM!)

First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static so that you can run ARM executables directly on linux

If there's no qemu-arm-static in the package list, install qemu-user-static instead

VladimirAlexiev

# Endpoint http://vocab.getty.edu/sparql
select ?t ?name (count(*) as ?c) {
  ?x gvp:placeType ?t. ?t gvp:prefLabelGVP/xl:literalForm ?name
} group by ?t ?name

# 0. Inspired by https://twitter.com/paregorios/status/568513448130187264
# 1. This includes place types AND cultures/styles (eg "religious center" and "Maya")
# 2. Exploring the AAT hierarchy above these types could also be interesting
# 3. We also provide TGN counts as per Mar 2015
# 4. The query is a bit expensive (1.2M places, 2.7M type instances), so be nice and use the attached TSV

ryanfb

diff --git classify/trainingsampleset.cpp classify/trainingsampleset.cpp
index afbf3f4..6121395 100644
--- classify/trainingsampleset.cpp
+++ classify/trainingsampleset.cpp
@@ -693,6 +693,8 @@ void TrainingSampleSet::ComputeCanonicalSamples(const IntFeatureMap& map,
       fcinfo.canonical_sample = fcinfo.samples[0];
       fcinfo.canonical_dist = 0.0f;
       for (int i = 0; i < fcinfo.samples.size(); ++i) {
+        #pragma omp parallel
+        {

bad-usenet-post-extractor.rb

#!/usr/bin/env ruby

require 'pty'
require 'expect'

$rar_divider = "-------------------------------------------------------------------------------\n"

def check_rar_contents(file)
  $stderr.puts "Checking RAR contents for: #{file}"
  rar_contents = `unrar l -v "#{file}" 2>&1`.split($rar_divider)

mcewand

#!/bin/python

# 1. Save this file to your local machine where you want to save the files
# 2. Change 'manuscript' to the one you want
# 3. Change 'lastItem' to the last numbered item of the text section of the manuscript
# 4. Add a directory 'jpgs' that the images will be stored in
# 5. Run "python PennInHand_grabber.py"

import sys
import urllib

acdha

def ocr_file(filename, languages, output_base, temp_dir):
    log.info("Launching tesseract on %s", filename)
    output = subprocess.check_output(['tesseract', filename, output_base,
                                      '-l', '+'.join(languages), TESSERACT_CONFIG],
                                     cwd=temp_dir,
                                     stderr=subprocess.STDOUT)

    with OCR_STORAGE.open('%s/%s/%s.log' % (item_id, group, index), 'w') as log_f:
        log_f.write(output)