Paste: game of life v3
Author: | Daniel Gabriele |
Mode: | python |
Date: | Sun, 7 Jun 2009 01:58:14 |
Plain Text |
'''
Conway's Game of Life '''
import random
import itertools
import pygame
pygame.init()
colors = pygame.color.THECOLORS
ON, OFF = 1, 0
def randcolor (lower=40, upper=200):
cvals = range(lower, upper)
r, g, b = [random.choice(cvals) for i in range(3)]
return pygame.Color(r, g, b)
def randgreen (lower=90, upper=250):
cvals = range(lower, upper)
g = random.choice(cvals)
return pygame.Color(g-lower, g, 0)
def randred (lower=90, upper=250):
cvals = range(lower, upper)
r = random.choice(cvals)
return pygame.Color(r, r-lower, 0)
class Cell (object):
def __init__ (self, **kwargs):
self.size = (25, 25)
self.alpha = 90
self.oncolor = randgreen()
self.offcolor = colors['black']
self.state = OFF
self.position = None
for k in kwargs:
setattr(self, k, kwargs[k])
self._init_default_config()
@property
def width (self):
return self.size[0]
@property
def height (self):
return self.size[1]
def _init_default_config (self):
self.image = pygame.Surface(self.size)
self.image.set_alpha(0)
self.rect = self.image.get_rect()
if self.state:
self.image.fill(self.oncolor)
else:
self.image.fill(self.offcolor)
if hasattr(self, 'position'):
self.rect.topleft = self.position
def update (self):
if self.state:
self.image.fill(self.oncolor)
self.image.set_alpha(self.alpha)
else:
self.image.set_alpha(90)
self.image.fill(self.offcolor)
def scale_alpha(self, inc):
next_step = self.alpha + inc
if next_step < 255 and next_step > 0:
self.alpha = next_step
def __repr__ (self):
return "<cell>"
class Grid (object):
def __init__ (self, gridsize, cellsize):
self.cell_w, self.cell_h = cellsize
self.w, self.h = gridsize
self.n = self.w * self.h
self.cells = []
self._do_init_config()
def _do_init_config (self):
absx = absy = 0
for i in xrange(self.h):
row = []
for j in xrange(self.w):
if i % random.randint(2,8) == 0:
initstate = random.choice([ON,OFF])
else:
initstate = OFF
nhood = self._get_neighbors(i, j)
cell = Cell( nhood = [n for n in nhood],
size=(self.cell_w, self.cell_h),
position=(absx, absy),
state=initstate,
past=initstate )
row.append(cell)
absx += cell.width
self.cells.append(row)
absy += cell.height
absx = 0
def update (self, surface):
newcolor = randgreen()
for row in self.cells:
for cell in row:
cell.past = cell.state
cell.update()
states = [1 for (i,j) in cell.nhood if self.cells[i][j].past]
score = sum( states )
if score < 4 and score > 1 and cell.past:
cell.oncolor = randred()
cell.state = ON
elif score == 3 and not cell.past:
cell.state = ON
cell.oncolor = newcolor
else:
cell.state = OFF
surface.blit(cell.image, cell.position)
def _get_neighbors (self, x, y):
for point in itertools.product(range(-1,2), range(-1,2)):
_x, _y = point[0]+x, point[1]+y
if (x, y) == (_x, _y): continue
_x %= self.w
_y %= self.h
yield (_x, _y)
def __getitem__ (self, i):
i, j = divmod(i, self.w)
return self.cells[i][j]
class Automaton (object):
def __init__ (self, grid_size, cell_size):
self.grid = Grid(grid_size, cell_size)
self.grid_size = grid_size
self.cell_size = cell_size
self.clock = pygame.time.Clock()
self.running = False
def seed (self):
self.scrsize = [self.grid_size[i] * self.cell_size[i] for i in [0,1]]
self.screen = pygame.display.set_mode(self.scrsize)
self.running = True
while self.running:
self.clock.tick(36)
for e in pygame.event.get():
if hasattr(e, 'pos') and e.type == pygame.MOUSEBUTTONDOWN:
self._mouse_handler(e)
elif hasattr(e, 'key') and e.type == pygame.KEYDOWN:
self._key_handler(e)
self.grid.update(self.screen)
pygame.display.flip()
def _mouse_handler (self, e):
for cell in self.grid:
if e.pos[0] > cell.rect.left and e.pos[0] < cell.rect.right and \
e.pos[1] > cell.rect.top and e.pos[1] < cell.rect.bottom:
for pos in cell.nhood:
self.grid.cells[pos[0]][pos[1]].state = ON
def _key_handler (self, e):
if e.key == pygame.K_q or e.key == pygame.K_ESCAPE:
self.running = False
elif e.key == pygame.K_UP:
for cell in self.grid:
cell.scale_alpha(10)
elif e.key == pygame.K_DOWN:
for cell in self.grid:
cell.scale_alpha(-10)
if __name__ == '__main__':
grid_size = (60, 60)
cell_size = (8, 8)
automaton = Automaton( grid_size, cell_size )
automaton.seed()
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