arsdragonfly

#!/bin/bash
#Don't change my filename.
#Put it into your worlds/(worldname)/players folder
#and execute this script.
FILES=./*
	  for f in $FILES
	  do
	  if [ "$f"x = "./checkpae.shx" ]; then
	  continue 
	  else

arsdragonfly

findChanges :: Money -> [Money] -> Maybe [Money]
findChanges bill changes
  | bill == 0 = Just changes
  | bill < 0 = Nothing
  | [] <- changes = Nothing
  | (x : xs) <- changes = let result = findChanges (bill - x) xs in case result of Just c -> Just c
                                                                                   Nothing -> findChanges bill xs

arsdragonfly

[10:56:33 PM][spawn Spawn1]
[10:56:33 PM]room
[10:56:33 PM][room W4N8]
[10:56:33 PM]name
[10:56:33 PM]([(Right "Bella")] : Nil)
[10:56:33 PM][structure (controller) #946b07739d98cb7]
[10:56:33 PM]structureType
[10:56:33 PM][spawn Spawn1]
[10:56:33 PM]structureType
[10:56:33 PM][spawn Spawn1]

arsdragonfly

Zheyu Shen's Portfolio

Roll a Ball

Legend of Zelda P1

TheGodGame P2

arsdragonfly

import * as R from 'ramda'

let points = [31000, 31000, 31000, 7000]
let uma = [30000, 10000, -10000, -30000]

let points_and_uma = R.zip(points, uma)
let grouped_by_tie = R.groupWith((a, b) => a[0] == b[0], points_and_uma)
let process_ties = (ties: [number, number][]) => {
    let total_uma = R.sum(R.map(t => t[1], ties))
    let average_uma = total_uma / ties.length

arsdragonfly

import std/num/random

effect control eat-icecream() : ()
effect control check-cost() : int // returns the cost in int

fun my-eat-icecream() {
    eat-icecream();
    val cost = check-cost();
    if (cost > 2)
    {

arsdragonfly

module Main

import Data.List

data Creep : Type where [external]

data Flag : Type where [external]

moveTo : (HasIO io) => Creep -> Flag -> io ()
moveTo creep flag = pure ()

arsdragonfly

Get-NetConnectionProfile

arsdragonfly

Set-NetConnectionProfile -Name "Network" -NetworkCategory Private

arsdragonfly

# game of life
import cupy as cp
import cudf
import time

dim_x = 1024 * 8
dim_y = 1024 * 8


df = cudf.DataFrame({