fogleman

from math import sin, cos, tan, pi, atan2
import cairo
import random

COLORS = [
    0x477984,
    0xEEAA4D,
    0xC03C44,
    0xFEF5EB,
]

fogleman

from tile import Model, Shape

def normalize(x, y):
    return (round(x + 3.5, 6), round(y + 3.5, 6))

def create_model():
    model = Model(width=700, height=700, scale=100)
    model.append(Shape(6))
    a = model.add(0, range(6), 4)
    b = model.add(a, 1, 3)

fogleman

act
air
ant
arm
art
bag
bat
bed
bee
bit

fogleman

from math import hypot, atan2, sin, cos, pi, radians
import cairo
import colorsys
import random

class Model(object):
    def __init__(self):
        self.particles = []
    def add(self, x, y, m=1.0):
        self.particles.append((x, y, m))

fogleman

from math import pi, sin, cos, hypot, floor
import cairocffi as cairo
import random

R = 0.012

class Grid(object):
    def __init__(self, r):
        self.r = r
        self.size = r / 2 ** 0.5

fogleman

from math import pi, sin, cos, hypot, floor
from pyhull.voronoi import VoronoiTess
from shapely.geometry import Polygon
import cairocffi as cairo
import colorsys
import random

R = 0.02

FILL = 0x422B36

fogleman

from collections import deque
from math import sin, cos, pi, atan2, hypot
import random
import time
import wx

SIZE = 600
COUNT = 64
SPEED = 100
FOLLOWERS = 4

fogleman

Mnemonic Encoding Word List

http://web.archive.org/web/20090918202746/http://tothink.com/mnemonic/wordlist.html

• The wordlist contains 1626 words.
• All words are between 4 and 7 letters long.
• No word in the list is a prefix of another word (e.g. visit, visitor).
• Five letter prefixes of words are sufficient to be unique.
• The words should be usable by people all over the world. The list is far from perfect in that respect. It is heavily biased towards western culture and English in particular. The international vocabulary is simply not big enough. One can argue that even words like "hotel" or "radio" are not truly international. You will find many English words in the list but I have tried to limit them to words that are part of a beginner's vocabulary or words that have close relatives in other european languages. In some cases a word has a different meaning in another language or is pronounced very differently but for the purpose of the encoding it is still ok - I assume that when the encoding is

fogleman

def split(values, func):
    group = []
    previous = None
    for value in values:
        if previous and func(previous, value):
            yield group
            group = []
        group.append(value)
        previous = value
    if group:

fogleman

from PIL import Image
from pyhull.delaunay import DelaunayTri
import numpy as np
import gdal
import operator
import struct
import sys

def load(path):
    print 'load'