nakosung

#!/bin/bash
 
function clean_up {
	# Perform program exit housekeeping
	rm $TEMP_FILE
	exit
}
 
trap clean_up SIGHUP SIGINT SIGTERM
 

notro

# FBTFT xorg config file
#
# startx -- -layout TFT
# startx -- -layout HDMI
#
# startx
# When -layout is not set, the first is used: TFT
#

Section "ServerLayout"

mazgi

[root@btrfs-testdrive] # btrfs qgroup create 1/100 /mnt/btrfs
[root@btrfs-testdrive] # btrfs qgroup assign 0/276 1/100 /mnt/btrfs
[root@btrfs-testdrive] # btrfs qgroup show /mnt/btrfs
qgroupid rfer       excl       
-------- ----       ----       
0/5      16384      16384      
0/256    2864136192 2864136192 
0/258    833703936  833703936  
0/259    52510720   52510720   

lexszero

import Control.Monad.State
import Text.Printf

initiallyRequired = 0.3
maintenanceRequired = 0.15
takerFee = 0.002

type Amount = Double
type Price = Double

maximilize

#!/usr/bin/env python
import subprocess
import re
from collections import namedtuple
import binascii
import time
import json

IGNORE = """
nm-applet

mapio

#!/bin/bash

if [ -r USB.vmdk ]; then
	VBoxManage storageattach "BootFromUSB" --storagectl "SATA" --port 0 --device 0 --medium none
	VBoxManage closemedium disk USB.vmdk --delete
fi

sudo chown  $USER /dev/disk1*
VBoxManage internalcommands createrawvmdk -filename USB.vmdk -rawdisk /dev/disk1 -partitions 1,2

dannguyen

How to download, import, and analyze San Francisco restaurant inspection data using SQLite3 and csvkit from the command-line.

A quick example of doing data wrangling from the command-line, as well as getting to know one of San Francisco's data sets: the San Francisco restaurant inspections, courtesy of the SF Department of Public Health. I don't normally do database work from the command-line, but importing bulk data into SQLite is pretty frustrating using the available GUIs or just the shell.

So thank goodness for Christopher Groskopf's csvkit, a suite of Unix-like tools that use Python to robustly handle CSV files. There's a lot of great tools in csvkit, but for this gist, I just use csvsql, which can parse a CSV and turn it into properly-flavored SQL to pass directly into your database app of choice.

viluon

FROM archlinux:20200205 AS arch-ghc-build-env

RUN pacman -Syu --noconfirm
RUN pacman -S --noconfirm git base-devel go python python-sphinx libedit numactl exa

# use all possible cores for subsequent package builds
RUN sed -i 's,#MAKEFLAGS="-j2",MAKEFLAGS="-j$(nproc)",g' /etc/makepkg.conf
# don't compress the packages built here
RUN sed -i "s,PKGEXT='.pkg.tar.xz',PKGEXT='.pkg.tar',g" /etc/makepkg.conf
# set up the packager user

ruyjfs

# Run container Nginx | Debian
docker run -it -v /var/www/:/var/www/ --name webserver-nginx-debian -p 80:80 culturagovbr/web-nginx-debian:0.1

# Run container Nginx | PHP 5 | Debian
docker run -it -v /var/www/:/var/www/ --name webserver-nginx-debian -p 80:80 --add-host local.salic:127.0.0.1 culturagovbr/web-nginx-php5-debian

# Run container Nginx | PHP 7 | Debian
docker run -it -v /var/www/:/var/www/ --name webserver-nginx-debian -p 80:80 culturagovbr/web-nginx-php7-debian:0.1

# Run container Apache | Debian

Odomontois

use std::io::stdin;
use std::io::prelude::*;
use std::iter::*;
use std::str::SplitWhitespace;

fn main() {
    let mut inp = InRead::new();
    let t = inp.int();
    for _ in 0..t {
        let n = inp.int();