adrian17

#include <cmath>
#include <vector>

#include "windows.h"

#include "lodepng.h"
#include "SDL.h"

typedef std::vector<unsigned char> Image;

adrian17

#include <cmath>
#include <functional>
#include <set>

#include "windows.h"

#include "lodepng.h"
#include "SDL.h"

const int MIN_RECT_SIZE = 2;

adrian17

#include <iostream>
#include <vector>
#include <string>
#include <array>
#include <fstream>

using std::cout;
using std::endl;

typedef std::vector<std::array<char, 4>> Board;

adrian17

#include <iostream>
#include <string>
#include <vector>
#include <fstream>
#include <tuple>
#include <algorithm>
#include <climits>
#include <map>
#include <set>

adrian17

# [2015-01-23] Challenge #198 [Hard] Words with Enemies -- The Game!
# http://www.reddit.com/r/dailyprogrammer/comments/2tfs0b/20150123_challenge_198_hard_words_with_enemies/

from functools import lru_cache
import random
import string

@lru_cache(maxsize=1)
def load_wordlist(filename="enable1.txt"):
    return open(filename).read().splitlines()

adrian17

#Ugly but working
dataz="""\
 _  _  _  _  _  _  _  _  _ 
| || || || || || || || || |
|_||_||_||_||_||_||_||_||_|


  |  |  |  |  |  |  |  |  |
  |  |  |  |  |  |  |  |  |

adrian17

prime_sieve =: 3 : 0
 sieve_size =. y
 sieve =. sieve_size # 0
 indices =. i. sieve_size
 sieve =. 1 (0 1) } sieve
 result =. ''
 while. sieve_size ~: +/ sieve do. NB. while it has at least one 0
  num =. {. (-. sieve) # indices   NB. get first number not marked with 1
  result =. result, num
  divisible =. 0 = num | indices

adrian17

s44 =: 4 4 $ 0 0 0 0 0 0 2 1 3 0 0 4 0 0 0 0

box =: (] #"1 ] # ([: i. 2 # ]))

indices =: 3 : 0
 yy =. {. y
 a =. yy #"0 i. yy
 b =. |: a
 c =. a ,/"0 b
)

adrian17

load 'viewmat'

gen_table =: 4 : '(0j1*(i: x)) +/ i: y'
fractal =: 1 : 0
:
 x u"0 (y +~ 30000 %~ 150 gen_table 150) NB. resolution and scale, not sure how to decouple them
)

collatz =: 4 %~ 2 + (7*]) - (2+5*])* 2 o. o.
is_bounded_c =: 4 : '((0: collatz^:x) :: 1:) y' NB. collatz

adrian17

import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt

header, *lines = open("map2.txt").read().splitlines()
R = float(header.split()[2])
H, W = len(lines), len(lines[0])
crops = []
for y, line in enumerate(lines):
    for x, c in enumerate(line):