jasonrdsouza

Background

Rob Heaton wrote a post about shrinking serialized data as part of his excellent PFAB series, and while he talked about a variety of tricks for making the serialization format itself more space efficient, he left out the easiest optimization trick in the book... compression. (It should be noted that he's been splitting up his thoughts on the particular program under analysis across a few posts, so it very well may be the case that he's just saving compression for a later post)

Regardless, I wanted to use his current analysis as a jumping of point to run a quick test and see how various compression algorithms stacked up in terms of space savings.

Generate RGB Map

Python session to gen

jasonrdsouza

from collections import namedtuple

Node = namedtuple('Node', 'row col')

class IslandCounter:
  def __init__(self, ocean_map):
    self.map = ocean_map
    self.max_row = len(ocean_map)
    self.max_col = len(ocean_map[0])

jasonrdsouza

import 'dart:math';

List<String> contestants = [
  'Jason',
  'Matt',
  'Gabe',
  'Ishan',
  'Luis',
  'Katie',
  'Andrew',

jasonrdsouza

import nest # https://pypi.org/project/python-nest/
import configparser

config = configparser.ConfigParser()
config.read('config.ini')

napi = nest.Nest(client_id=config['NEST']['client_id'], client_secret=config['NEST']['client_secret'], access_token_cache_file='token_cache')

if napi.authorization_required:
    print('Go to ' + napi.authorize_url + ' to authorize, then enter PIN below')

jasonrdsouza

/*
 * The basic idea is to make a Grocery List progressive web app in Dartlang,
 * using Firestore (https://firebase.google.com/docs/firestore/) as the backend.
 * This pad is a quick sketch of the logic necessary to get the app working.
 */

enum Categories {
  produce,
  dairy,
  household,

jasonrdsouza

'''
Helper script to quickly restart all of the instances of a specific app
Assumes lots of things about the setup of the app (load balancer, ssh access, supervisor, etc.)
'''
import boto3
import subprocess
import argparse


def load_balancer_instances(name):

jasonrdsouza

class Heap:
    def __init__(self):
        self.data = []
        self.length = 0

    def push(self, val):
        if len(self.data) <= self.length: # need to expand the array
            self.data.append(val)
        else:
            self.data[self.length] = val

jasonrdsouza

'''This script can be used to export data from Pocket (getpocket.com)
Uses include migrating to a different "read it later" service, saving
specific articles to another service, backing up your reading history,
and more.

Currently it can be used to export links and metadata for archived
articles with a given tag, which are more recent than a given timestamp.

An example use case is to export all articles you have tagged as
"to-export", which are newer than 10 days old. The timestamp functionality

jasonrdsouza

'''
This script performs efficient concatenation of files stored in S3. Given a
folder, output location, and optional suffix, all files with the given suffix
will be concatenated into one file stored in the output location.

Concatenation is performed within S3 when possible, falling back to local
operations when necessary.

Run `python combineS3Files.py -h` for more info.
'''

jasonrdsouza

"""
Code to crack Google Security Key Challenge #3
Accompanying blog post: http://www.jasondsouza.org/post/caesar-cipher-decryption/
@author: Jason Dsouza
"""

from string import punctuation

ALPHABET = "abcdefghijklmnopqrstuvwxyz"
KEY_SPACE = len(ALPHABET)