tetsuok

% Note: works only for XeLaTeX.
\documentclass[border=1mm]{standalone}
\usepackage{tikz}
\usepackage{zxjatype}
\setjamainfont[Scale=0.8]{Hiragino Kaku Gothic Pro W3}
\setmainfont[Mapping=tex-text,Scale=MatchLowercase]{Helvetica} % \sffamily
\setsansfont[Scale=MatchLowercase]{Helvetica} % \sffamily のフォント
\usepackage{xltxtra}

\begin{document}

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

dypsilon

Frontend Development

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---

Deraen

• (:identity req) is auth backend independent way to access user data
• login and logout implementation depends on auth backend
• :current-user doesn't imply that authentication is required, route should also have :auth-rules if authentication is required

convert-html-entities.py

import html
import re

pua = {
    '63233': 'ิ',
    '63234': 'ี',
    '63235': 'ึ',
    '63236': 'ื',
    '63237': '่',
    '63238': '้',

lukyth

// npm install mailparser
// node parse_mail.js
var MailParser = require('mailparser').MailParser
var fs = require('fs')
var dirname = 'sample/'
var resultDir = 'result/'

if (!fs.existsSync(resultDir)){
  fs.mkdirSync(resultDir)
}

p1d1d1

GeoSPARQL support: Triple Stores comparison

I have been planning since months to put in a readable form some tests I did to check how Triple Stores deal with GeoSPARQL. Then a twitter discussion has eventually given me the motivation to start these notes. The word "benchmarking" I used in the mentioned twitter discussion is actually not the right one. It is not my intention to measure performance (how quick is the store to load data, how many trillions triples are managed, how fast is the response to a federated query over tens services): my main interest here is simply to load some geodata and run a basic GeoSPARQL query and see how the stores behave. I decided to use docker and run the images with the default configurations available in Docker Hub: sometimes I have quikly further investigated in case of failure.

Dataset

For the tests I used a simple dataset containing the 26 Swiss Ca

visibletrap

(ns playground.transducer)

(def f1 (comp #(map str %) #(filter even? %) #(map inc %))) ; right -> left

(def nums [4 7 8 9 5 3])

(f1 nums)

(defn f2 [x]
  (map str (filter even? (map inc x))))

anon-hui

. /dev/null

set -- "$1" "`wc -c -- "$1" | tee /dev/stderr | awk '{print$1}'`" '' :
echo "${@:2}" ; 

set -- "$1" "$2" "`gzip -c -- "$1" | wc -c`" "${@:4}"
echo "${@:2}" ; (( "$3" < "$2" )) && set -- "$1" "$3" '' gzip
set -- "$1" "$2" "`gzip -c -9 -- "$1" | wc -c`" "${@:4}"
echo "${@:2}" ; (( "$3" < "$2" )) && set -- "$1" "$3" '' gzip -9

RStankov

# frozen_string_literal: true

module Handle::NetworkErrors
  extend self

  ERRORS = [
    EOFError,
    Errno::ECONNREFUSED,
    Errno::ECONNRESET,
    Errno::EFAULT,