bkanuka

#!/usr/bin/bash

# gist id: a6e0b75a356e1aa451de971317962441

# Exit on any error
set -e

BACKED_UP=false
backup_firmware () {
  if [[ $BACKED_UP != true ]]; then

bkanuka

#!/usr/bin/env bash

## Uses transmission-remote to remove public torrents only
## This keeps private torrents up to keep seeding

TORRENTS=$(transmission-remote -t all -i | \
    grep -e 'Id:' -e 'Name:' -e 'Percent Done:' -e 'Public torrent:' | \
    cut -d':' -f2 | sed -e 's/^[[:space:]]*//' | \
    paste -sd '\t\t\t\n')

bkanuka

#!/usr/bin/env python3

import socket
import uuid
import paho.mqtt.client as mqtt
import trio

client_id = 'paho-mqtt-python/issue72/' + str(uuid.uuid4())
topic = client_id
print("Using client_id / topic: " + client_id)

bkanuka

#!/usr/bin/env bash

HEADER="
127.0.0.1 localhost

# The following lines are desirable for IPv6 capable hosts
::1     ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes

bkanuka

#!/usr/bin/env bash

TRACKPOINT_NAME="DualPoint Stick"
TRACKPAD_NAME="AlpsPS/2 ALPS GlidePoint"
POLL_INTERVAL=1.0s

point_xid=$(xinput --list --id-only "$TRACKPOINT_NAME")
pad_xid=$(xinput --list --id-only "$TRACKPAD_NAME")

is_enabled() {

bkanuka

fsdf

bkanuka

#!/usr/bin/env bash

TRACKPOINT_NAME="DualPoint Stick"
TRACKPAD_NAME="AlpsPS/2 ALPS GlidePoint"
POLL_INTERVAL=1.0s

point_xid=$(xinput --list --id-only "$TRACKPOINT_NAME")
pad_xid=$(xinput --list --id-only "$TRACKPAD_NAME")

is_enabled() {

bkanuka

#!/usr/bin/env bash

TRACKPOINT_NAME="DualPoint Stick"
TRACKPAD_NAME="AlpsPS/2 ALPS GlidePoint"
POLL_INTERVAL=1.0s

point_xid=$(xinput --list --id-only "$TRACKPOINT_NAME")
pad_xid=$(xinput --list --id-only "$TRACKPAD_NAME")

is_enabled() {

bkanuka

import olap.xmla.xmla as xmla
provider = xmla.XMLAProvider()
con = provider.connect(location='http://{server}/OLAP/msmdpump.dll'.format(server='YOUR SERVER IP'))

# Verify that we are connected
print c.getMDSchemaCubes()

# Write MDX query
cmd = """SELECT NON EMPTY { [Measures].[Count] } ON COLUMNS FROM [OLAP]"""
cur = con.Execute(cmd)

bkanuka

import numpy as np
import matplotlib as mpl
mpl.use('pgf')

def figsize(scale):
    fig_width_pt = 469.755                          # Get this from LaTeX using \the\textwidth
    inches_per_pt = 1.0/72.27                       # Convert pt to inch
    golden_mean = (np.sqrt(5.0)-1.0)/2.0            # Aesthetic ratio (you could change this)
    fig_width = fig_width_pt*inches_per_pt*scale    # width in inches
    fig_height = fig_width*golden_mean              # height in inches