wulab

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wulab

import * as repl from 'repl';

function myEval(cmd, context, filename, callback) {
  callback(null, cmd.trim());
}

function myWriter(output) {
  return output;
}

wulab

(define (fizzbuzz)
  (define (fizzbuzz-iter counter max-count)
    (print counter)
    (if (>= counter max-count)
        'done
        (fizzbuzz-iter (+ counter 1) max-count)))
  (define (print n)
    (cond ((and (divisible n 3) (divisible n 5)) (write-line 'fizzbuzz))
          ((divisible n 3) (write-line 'fizz))
          ((divisible n 5) (write-line 'buzz))

wulab

(define (square x) (* x x))

(define (sum-of-squares x y)
  (+ (square x) (square y)))

(define (max x y)
  (if (> x y) x y))

(define (min x y)
  (if (< x y) x y))

wulab

def graduated_price(users)
  if users <= 3
    return 0
  elsif users <= 10
    return graduated_price(3) + 5 * (users - 3) + 15
  elsif users <= 14
    return graduated_price(10)
  elsif users <= 17
    return graduated_price(14) + 25
  elsif users <= 24

wulab

const lessonList = [...]
const timeslotRange = [...]
const roomRange = [...]
const timeTable = new TimeTable()
const timeLimit = 5000
const startTime = new Date()
                   
let currentTime = startTime
let bestScore = 0

wulab

activity(friday, 'september townhall').
activity(saturday, 'learn prolog facts').
activity(sunday, 'learn prolog rules').

weekend(saturday).
weekend(sunday).

weekend_activity(A) :-
  activity(D, A),
  weekend(D).

wulab

def deriv(f)
  dx = 0.000001
  ->(x) { (f.(x+dx) - f.(x)) / dx }
end

f = ->(x) { x*x + 2*x + 1 }
g = deriv(f)
g.(2)
# => 6.000001000927568

wulab

from elasticsearch import Elasticsearch
import re
import subprocess
import time


def build_doc():
    doc = {}
    doc.update(current_batt())
    doc.update(current_time())

wulab

from elasticsearch import Elasticsearch
import time

THERMAL_ZONES = [
    "/sys/class/thermal/thermal_zone0",
    "/sys/class/thermal/thermal_zone1",
    "/sys/class/thermal/thermal_zone2",
]