southpolemonkey

import numpy as np
import matplotlib.pyplot as plt

# data to plot
n_groups = 4
means_frank = (90, 55, 40, 65)
means_guido = (85, 62, 54, 20)

# create plot
fig, ax = plt.subplots()

southpolemonkey

import asyncio
from dask.distributed import Client


def inc(x: int) -> int:
    return x + 1


async def f():
    async with Client(asynchronous=True) as client:

southpolemonkey

import numpy as np
import matplotlib.pyplot as plt

# data to plot
n_groups = 4
means_frank = (90, 55, 40, 65)
means_guido = (85, 62, 54, 20)

# create plot
fig, ax = plt.subplots()

southpolemonkey

import os
import glob

i = 0
for file in glob.glob('<filepattern>'):
  new_filename = 'example_' + str(i) + '.txt'
  os.rename(file, new_filename)

#   placeholder: filepattern

southpolemonkey

#!/usr/bin/env bash

pronounce_word () {
  declare -a myArray
  # echo "$args"
  # myArray=(`cat "$args"`)
  myArray=(`cat $dir`)

  say "test begin[[slnc 2000]]"

southpolemonkey

/* Merge sort in C */
#include<stdio.h>
#include<stdlib.h>

// Function to Merge Arrays L and R into A. 
// lefCount = number of elements in L
// rightCount = number of elements in R. 
void Merge(int *A,int *L,int leftCount,int *R,int rightCount) {
	int i,j,k;