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import os
from functools import lru_cache

import requests
import urllib.parse

from flask import Flask
from flask import request
from flask import flash
from flask import url_for

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#!/bin/bash

# Dependencies: imagemagick, i3lock-color-git, scrot

# IMAGE=$(mktemp).png
# scrot $IMAGE
# # convert $IMAGE -level 0%,100%,0.6 -filter Gaussian -resize 30% -define filter:sigma=2.5 -resize 333.33% $IMAGE
# convert -scale 10% -scale 1000% $IMAGE $IMAGE
# i3lock -i $IMAGE
# rm $IMAGE

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# 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!

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# Variables
  set $mod Mod4

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

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# -*- 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.

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#!/bin/bash

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

echo "Waiting $2"
sleep $2

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"""
Corpus preprocessing script

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

Options:

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

import numpy
import cvxopt


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


class SVMClassifier(object):

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

import math
from simpleai.search import SearchProblem, astar

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

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#!/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__))