Philipp Wille Yord

Benchmark	Description	pxi	gawk	jq	mlr	fx
JSON 1	Select an attribute on small JSON objects	11s	15s	46s	–	284s
JSON 2	Select an attribute on large JSON objects	20s	20s	97s	–	301s
JSON 3	Pick a single attribute on small JSON objects	15s	21s	68s	91s	368s
JSON 4	Pick a single attribute on large JSON objects	26s	27s	130s	257s	420s
JSON to CSV 1	Convert a small JSON to CSV format	15s	–	77s	60s	–
JSON to CSV 2	Convert a large JSON to CSV format	38s	–	264s	237s	–
CSV 1	Select a column from a small csv file	11s	8s	37s	23s	–
CSV 2	Select a column from a large csv file	19s	9s	66s	72s	–
CSV to JSON 1	Convert a small CSV to JSON format	15s	–	–	120s	–

Warcaster

	\documentclass{article}

	\input{list}

	\def\times#1#2{\newcount\int\int\numexpr#1*#2\relax\the\int}

	\begin{document}

	\List[new]{numbers}{1,2,3,4,5,6,7,8,9}

	import util.Random
	import io.Source

	object MultipleChoice extends App {

	implicit def colorString(string: String) = new ColoredString(string)

	val buffer = Source fromFile "mc.txt"
	val Line = """^([wf]):(.+)$""".r
	val questions = buffer.getLines flatMap (_ match {

	// If you haven't already, watch Brian Lonsdorf's "Hey Underscore, You're Doing It Wrong!":
	// http://functionaltalks.org/2013/05/27/brian-lonsdorf-hey-underscore-youre-doing-it-wrong/

	const { append, eqProps, identity, map, mergeWith, nthArg, pipe, reject, when } = require('Ramda');

	const idEquals = eqProps('id');



	// Reducers as data-less action function (returns a function that

	console.log('["lisp",{"dot":"json"}]\n')

	// import { and, apply, assoc, concat, contains, dissoc, equals, head, init, is, isEmpty, isNil, keys, last, map, o, pick, pipe, prepend, propOr, reduce, reverse, tail, type } from 'ramda'

	// HELPERS

	const isUndefined = a => typeof(a) === 'undefined'

	//const may = (err, res) => ({ err, res })
	const res = res => ({ res })

	// Ramda 0.25.0
	import { defaultTo, eqBy, chain, flatten, head, ifElse, join, length, map, of, pipe, split, tail, transpose, trim, zipObj } from 'ramda'

	const interleave = pipe(transpose, flatten)
	const trimmedValues = separator => pipe(split(separator), map(trim))

	const csv = separator => (strings, ...expressions) => {
	const lines = pipe(
	interleave,
	join(''),

	// Paste e.g. in https://scastie.scala-lang.org

	object Foo {
	def main(args: Array[String]): Unit = {
	def some[A](a: A): Option[A] = Some(a)

	val inc: Int => Int = _ + 1

	println(
	map(inc)(List(1, 2, 3, 4))