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import itertools | |
import json | |
import math | |
import string | |
############################ | |
encrypted_hex = """ | |
put the encrypted response here | |
""" |
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#! /bin/env python3 | |
from datetime import datetime | |
start = datetime.now() | |
while True: | |
now = datetime.now() | |
print("\r"+str(now-start), end="") |
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[alias] | |
lg = log --graph --pretty=format:'%Cred%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%cr) %C(cyan)<%an>%Creset' --abbrev-commit --date=relative |
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# Configration for https://github.com/dzamlo/pureline | |
colors[Orange]='\[\e[38;5;208m\]' # 256 Col Orange Foreground | |
colors[On_Orange]='\[\e[48;5;208m\]' # 256 Col Orange Background | |
colors[DarkGrey]='\[\e[38;5;237m\]' # 256 Col Dark Grey Foreground | |
colors[On_DarkGrey]='\[\e[48;5;237m\]' # 256 Col Dark Grey Background | |
colors[Blue]='\[\e[38;5;21m\]' # 256 Col Blue Foreground | |
colors[On_Blue]='\[\e[48;5;21m\]' # 256 Col Blue Background | |
colors[Red]='\[\e[38;5;1m\]' # 256 Col Red Foreground | |
colors[On_Red]='\[\e[48;5;1m\]' # 256 Col Red Background | |
colors[Pink]='\[\e[38;5;13m\]' # 256 Col Pink Foreground |
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import fileinput | |
import tokenize | |
import matplotlib.pyplot as plt | |
from wordcloud import WordCloud | |
if __name__ == '__main__': | |
# If some files don't have the same encoding, this is likely to not work correctly. | |
tokens = tokenize.tokenize(fileinput.input(mode='rb').readline) | |
tokens_no_string = (t for t in tokens if t.type not in [tokenize.ENCODING, tokenize.STRING]) |
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history_dir="${HOME}/.history/$(date +%Y/%m)" | |
mkdir -p "$history_dir" | |
HISTFILE="$history_dir/$(date --iso-8601=seconds)_${HOSTNAME}_$$" | |
export HISTSIZE="NOTHING" | |
export HISTFILESIZE="NOTHING" | |
export HISTTIMEFORMAT='%F %T ' | |
HISTCONTROL=ignoreboth | |
shopt -s histappend | |
shopt -s histverify | |
shopt -s cmdhist |
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ACTION=="add", SUBSYSTEM=="input", ATTRS{name}=="AB Shutter3 ", TAG+="systemd", PROGRAM="/bin/systemd-escape -p --template=lifx-remote@.service $env{DEVNAME}", ENV{SYSTEMD_WANTS}+="%c" |
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import pyopencl as cl | |
import pyopencl.array as clarray | |
import numpy as np | |
context = cl.create_some_context() | |
queue = cl.CommandQueue(context) | |
a = clarray.empty(queue, (10,20), np.float32, order='F') | |
print(a.get()) |