Resisty

Me: "at least you're not using throwaway variables"

>>> _ = 'hardware'
>>> __ = 'hwardhware'
>>> ___ = {_: {__: 'hwhwhwhwhwhw'}}
>>> ____ = [_____ for _____ in ___ for ______ in ___[_____]]
>>> ____
['hardware']

Coworker: "oh god oh fuck oh no"

Resisty

def chunks(lst, num):
    """ Divide list 'lst' into num-sized chunks
    """
    for i in range(0, len(lst), num):
        yield lst[i: i+num]

Resisty

def fb(i, n):
    try:
        assert i <= n
        three = i % 3
        five = i % 5
        p0d = 1/(three+five)
        pve = int('0'*five)
        pke = {1:'',2:''}[three]
        print i
    except ZeroDivisionError:

Resisty

#!/usr/bin/env bash
# This was done as a joke at work when we were talking about interview questions.
# I am unashamed.
string="$1"
for (( i=0; i<${#string}; i++ ));
do
    { eval "sleep \$(expr \${#string} - \$i) && printf '%s' '${string:$i:1}'" & } 2>/dev/null
done
echo

Resisty

" vimrc file for following the coding standards specified in PEP 7 & 8.
"
" To use this file, source it in your own personal .vimrc file (``source
" <filename>``) or, if you don't have a .vimrc file, you can just symlink to it
" (``ln -s <this file> ~/.vimrc``).  All options are protected by autocmds
" (read below for an explanation of the command) so blind sourcing of this file
" is safe and will not affect your settings for non-Python or non-C files.
"
"
" All setting are protected by 'au' ('autocmd') statements.  Only files ending

Resisty

#!/usr/bin/env python
''' Helper script for working with AWS KMS
'''
import sys
import base64
import argparse
import boto3
def decrypt_args(args):
    ''' Check args for decrypt function and call it appropriately
    '''

Resisty

#!/usr/bin/env python
''' This module serves as a weird example for some nonsense for a friend
    Place this file in chbuildstatus/
'''

import argparse
import logging
import re
import requests
FORMAT = """[%(asctime)s] '%(message)s'"""

Resisty

Rationale

This snippet is a sample showing how to implement CloudWatch Logs streaming to ElasticSearch using terraform. I wrote this gist because I didn't found a clear, end-to-end example on how to achieve this task. In particular, I understood the resource "aws_lambda_permission" "cloudwatch_allow" part by reading a couple of bug reports plus this stackoverflow post.

The js file is actually the Lambda function automatically created by AWS when creating this pipeline through the web console. I only added a endpoint variable handling so it is configurable from terraform.

Resisty

#!/bin/python3

import sys
import collections

n,m = input().strip().split(' ')
n,m = [int(n),int(m)]
topic = []
topic_i = 0
for topic_i in range(n):

Resisty

#!/bin/python3

ROW = 0
COL = 1

def num_queen_attacks(boardlen, queen, obs):
    counts = [0] * 8 # queen can attack in eight directions, moving clockwise:
                     # 0 is North, 1 is NE, etc
    counts[0] = queen[ROW]
    counts[1] = min([queen[ROW], boardlen - queen[COL] - 1])