pyg.clock.unschedule(cell_action)
pyg.clock.unschedule(update_product_count)
action_scheduled = False
def remove_label(time, label):
cell_labels_list[0] = hld = pyg.text.Label(" ")
#Setting up the environment including the products
myurn = AC_Products.Urn(URN+"-"+REPRO, TYPES, RNG,INITIAL_ENERGY,
PRODUCT_COUNT)
# Creating all of the rules
myrules = AC_ProductRules.create_RuleSet(CHEM,TYPES, RULE_COUNT, RNG)
#Creating a network object for compatible rules
myRuleNet = AC_ProductRuleNet.ProductRuleNet()
# creating the actual cells with Sprites
cell_image = image.load("cell.png")
cells = []
cell_radius = .005
for i in range(20):
sprite = cell_Sprite(cell_image,cell_batch, str(i+1))
sprite.scale = 3./ (space_width)
sprite.color = (150,150,150)
cell_list.append(sprite)
sprite.scale = 3.25/VARS.SPACE_WIDTH
sprites.append(sprite)
new_cell = AC_Cells.Cell(i+1, sprite, VARS)
cells.append(new_cell)
sprite.add_cell(new_cell)
VARS.CELLS = cells
VARS.SPRITES = sprites
# Creating a network of neighbors on torus grid
VARS.SPACE = AC_Space.Space(VARS)
# Creating all of the rules and
# passing out to cells at random
rules = AC_ProductRules.create_RuleSet(VARS)
VARS.RNG.shuffle(rules)
if VARS.SIMPLE:
if len(rules) == len(VARS.CELLS):
for i in range(len(rules)):
VARS.CELLS[i].add_ProductRule(rules[i])
else:
raise ValueError("For simple cells, there must be the same number of cells and rules")
else:
for rule in rules:
cell = VARS.RNG.choice(VARS.CELLS)
cell.add_ProductRule(rule)
for cell in VARS.CELLS:
