j0hn

#!/usr/bin/env python
# coding: utf-8

"""
String to Brainfuck.

Converts a string to a brainfuck code that prints that string.

Author: j0hn <j0hn.com.ar@gmail.com>
"""

j0hn

#!/bin/sh
# file .git/hooks/pre-commit

exec < /dev/tty
read -p "Did you run the tests? [yN]: " yn
case $yn in
    [Yy]* ) echo "Ok, your good to go";;
    * ) echo "What are you waiting for then?" && exit 1;;
esac

j0hn

#!/usr/bin/env python
# coding: utf-8

import os
import math
import random
from PIL import Image
from simpleai.machine_learning import ClassificationProblem, is_attribute, NaiveBayes, precision, KNearestNeighbors

BASE_PATH = os.path.dirname(os.path.abspath(__file__))

j0hn

#!/usr/bin/env python
# coding: utf-8

import math
from simpleai.search import SearchProblem, astar

MAP = """
##############################
#         #              #   #
# ####    ########       #   #

j0hn

# -*- coding: utf-8 -*-

import numpy
import cvxopt


cvxopt.solvers.options['show_progress'] = False


class SVMClassifier(object):

j0hn

"""
Corpus preprocessing script

Usage:
    preprocess.py
    preprocess.py [<modulo> <modulo_result>] [options]
    preprocess.py --increment-ner
    preprocess.py -h | --help | --version

Options:

j0hn

#!/bin/bash

if [ -z "$1" ] || [ -z "$2" ]; then
    echo "Usage: scancan.sh <number of scans> <preparation time>"
    exit
fi

echo "Waiting $2"
sleep $2

j0hn

# -*- coding: utf-8 -*-

import markovify
import codecs

# Get raw text as string.
with codecs.open("corpus.txt", encoding="utf-8") as f:
    text = f.read()

# Build the model.

j0hn

# Variables
  set $mod Mod4

# Colors
  set $base00 #101218
  set $base01 #1f222d
  set $base02 #252936
  set $base03 #7780a1
  set $base04 #C0C5CE
  set $base05 #d1d4e0

j0hn

# github.com/rafi i3status config

# i3status configuration file
# see "man i3status" for documentation.

# It is important that this file is edited as UTF-8.
# The following line should contain a sharp s:
# ß
# If the above line is not correctly displayed, fix your editor first!