x-or

### Copyright (c) 2015, Sergey Shishmintzev
### License: Apache/GPLv3
### Example video:  http://youtu.be/aJ9IRxgpH10
### Interpreter: Python 2.7.5 with NumPy 1.9.1 and Pillow 2.7.0

power = 19

name = "spiral"

frame_count = 15000

x-or

### Copyright (c) 2015, Sergey Shishmintzev
### License: Apache/GPLv3
### Examples: http://youtu.be/aSRwEo0MdqM
### Interpreter: Python 2.7.5 with NumPy 1.9.1 and Pillow 2.7.0

power = 19

name = "transit"

frame_count = 511

x-or

### Copyright (c) 2015, Sergey Shishmintzev
### License: Apache/GPLv3
### Examples: http://youtu.be/2kckHKCVvDs https://youtu.be/aFN02gJUJ0o
### Interpreter: Python 2.7.5 with NumPy 1.9.1 and Pillow 2.7.0

power = 19

name = "spiral"

frame_count = 12000

x-or

var React = require('react/addons');
var ReactIgnore = {
    displayName: 'ReactIgnore',
    shouldComponentUpdate (){
        return false;
    },

    render (){
        return React.Children.only(this.props.children);
    }

x-or

import numpy as np
from PIL import Image

def digital_reverse(n, length, base):
    r = 0
    for _ in range(length):
      r = base*r + n % base
      n /= base
    return r

x-or

import numpy as np
from PIL import Image

def digital_reverse(n, length, base):
    r = 0
    for _ in range(length):
      r = base*r + n % base
      n /= base
    return r

x-or

# -*- coding: utf-8 -*-
#   Copyright (C) 2012, Almar Klein, Ant1, Marius van Voorden
#
#   This code is subject to the (new) BSD license:
#
#   Redistribution and use in source and binary forms, with or without
#   modification, are permitted provided that the following conditions are met:
#     * Redistributions of source code must retain the above copyright
#       notice, this list of conditions and the following disclaimer.
#     * Redistributions in binary form must reproduce the above copyright

x-or

import numpy as np
from PIL import Image

def digital_reverse(n, length, base):
  r = 0
  for _ in range(length):
    r = base*r + n % base
    n /= base
  return r

x-or

#
# Manifestation of Permuted Diagonal Line generator
#
import numpy as np
from PIL import Image

def digital_reverse(n, length, base):
  r = 0
  for _ in range(length):
    r = base*r + n % base

x-or

def digital_reverse(n, length, base):
  r = 0
  for _ in xrange(length):
    r = base*r + n % base
    n /= base
  return r

assert digital_reverse(123, 3, 10) == 321
assert digital_reverse(54321, 5, 10) == 12345
assert digital_reverse(0x123, 3, 16) == 0x321