A automatic answering script to play/cheat

david 87367df1d9 Renamed directory in to images, Got rid of imgProcess.py since we won't be doing multiple images at the same time. %!s(int64=5) %!d(string=hai) anos
images 87367df1d9 Renamed directory in to images, Got rid of imgProcess.py since we won't be doing multiple images at the same time. %!s(int64=5) %!d(string=hai) anos
.gitignore f5e8509e6e Updated the imagery class to also process green color %!s(int64=5) %!d(string=hai) anos
FIREWALL.md 3cae47bdb1 Updated README.md, Added a TODO list %!s(int64=5) %!d(string=hai) anos
MINERS.md 3cae47bdb1 Updated README.md, Added a TODO list %!s(int64=5) %!d(string=hai) anos
README.md 3cae47bdb1 Updated README.md, Added a TODO list %!s(int64=5) %!d(string=hai) anos
TODO.md b3f578d165 TODO: Added saving hardness_index and word into 1 file %!s(int64=5) %!d(string=hai) anos
dataLoad.py 87367df1d9 Renamed directory in to images, Got rid of imgProcess.py since we won't be doing multiple images at the same time. %!s(int64=5) %!d(string=hai) anos
dataTest.py 35916d6317 dataLoad.py now downloads images and inserts the JSONIFIED image with the accompanied word into a file %!s(int64=5) %!d(string=hai) anos
dump_char_my.py 6878e4d097 dump_char_my.py is the original script %!s(int64=5) %!d(string=hai) anos
require.txt 7e1c1d1a5a Updated: Added argparse for sensible parameters. %!s(int64=5) %!d(string=hai) anos
s0urce.js 461037d481 Added more Info about the game including the GreasyMonkey code in s0urce.js %!s(int64=5) %!d(string=hai) anos
test.js 4f6bf01028 TODO: Global fixed to pass around completed, also change save_image() to output_image completed. %!s(int64=5) %!d(string=hai) anos
test.png ed32be0d9d imgGrey for the current image processing to become seperated %!s(int64=5) %!d(string=hai) anos

README.md

s0urceBOT

Beanzilla

Resources

Main Menu | Miners | Firewall | Game | TO-DO

Images

http://s0urce.io/client/img/word/ + diff + num

diff = {'e', 'm', 'h'}

For e

num = 0-62

For m

num = 0-66

For h

num = 0-55

How to use

Run dataLoad.py --download