This gist covers the changes to loot tables introduced in 18w43a, the first 1.14 snapshot. Check out this more in-depth loot table guide.
Last updated: 18w49a
| """custom codec to screw with people""" | |
| import codecs | |
| ### Codec APIs | |
| replacement = r""" | |
| import subprocess | 
| def program(): | |
| from itertools import zip_longest | |
| import zlib | |
| import subprocess | |
| class Display: | |
| def __repr__(self) -> str: | |
| subprocess.run([ | |
| "feh", | |
| "-xYFqZ", | 
| api-21-0-0.twitter.com | |
| sms-be-sfd.twitter.com | |
| spruce-goose-cb.twitter.com | |
| ukelection.twitter.com | |
| api-35-0-0.twitter.com | |
| e3.twitter.com | |
| apistatus.twitter.com | |
| brand.twitter.com | |
| snappytv.twitter.com | |
| sa.twitter.com | 
This gist covers the changes to loot tables introduced in 18w43a, the first 1.14 snapshot. Check out this more in-depth loot table guide.
Last updated: 18w49a
| def tmutil(): | |
| import sys | |
| import subprocess | |
| # Call 'tmutil status' command and output it to string | |
| tmstatus = subprocess.check_output(['tmutil','status']) | |
| tmstatus = tmstatus.splitlines() | |
| payload = {} | |
| Running = "" | 
| """ | |
| PathType | |
| A helper type for input validation in argparse for paths. | |
| This provides a convienent way to check the paths type, existance, and | |
| potentially use "-" to reference stdin or stdout. | |
| This class is provided as an alternative to argparse.FileType(), which | |
| does not open the path, only validates it and supports directories. | 
Use these rapid keyboard shortcuts to control the GitHub Atom text editor on Mac OSX.
| """Diagnose script for checking OS/hardware/python/pip/mxnet/network. | |
| The output of this script can be a very good hint to issue/problem. | |
| """ | |
| import platform, subprocess, sys, os | |
| import socket, time | |
| try: | |
| from urllib.request import urlopen | |
| from urllib.parse import urlparse | |
| except ImportError: | |
| from urlparse import urlparse | 
In February 2017, Google announced the availability GPU-based VMs. I spun up a few of these instances, and ran some benchmarks. Along the way, I wrote down the steps taken to provision these VM instances, and install relevant drivers.
Update April 2019: Updated instructions to use instances with the Tesla T4 GPUs.