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import matplotlib.pyplot as plt

# If you want to move the data into a CSV file you can use Pandas:
#import pandas as pd
# 
#df = pd.read_csv('histogram.csv', sep=',', header=None)
#data = df.values

# Otherwise a Python array works
data = [2.8, 7, 15.1, 3.8, 27.2, 10.3, 12.9, 8.1, 18.9, 9.2, 16.3]

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#!/usr/bin/env bash
set -eo pipefail

RED='\033[1;31m'
NC='\033[0m' # No Color
FORK=automaticrippingmachine
TAG=latest
function usage() {
    echo -e "\nUsage: docker_setup.sh [OPTIONS]"
    echo -e " -f <fork>\tSpecify the fork to pull from on DockerHub. \n\t\tDefault is \"$FORK\""

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# See this wiki page for more info:
# https://github.com/dylanaraps/neofetch/wiki/Customizing-Info
print_info() {
    #info title
    #info underline

    info "OS\t\t" distro 
    info "Host\t" model 
    #info "Kernel" kernel
    info "Uptime\t" uptime 

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#!/usr/bin/python3
# Battery 
# Shows battery status

import psutil
battery = psutil.sensors_battery()

icons = {
    'charging': {
        '0': '',

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// Make use of the CMake build system or compile manually, e.g. with:
// gcc -std=c99 example.c -lsweep

#include <assert.h>
#include <inttypes.h>
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>

#include sweep.h

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// CONFIGURATION
var host = 'localhost';
var port = 8080;
var httpRoot = './http';
// -------------------------------------------------- //

const http = require('http');
const fs = require('fs');
const url = require('url');

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import threading
import platform, subprocess, random

crazyMode = True

def ip():
    DETACHED_PROCESS = 0x00000008
    def myping(host):
        parameter = '-n' if platform.system().lower()=='windows' else '-c'

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function clear()
	print("\033[H\033[2J")
end

function add(a, b)
	return a + b
end

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