from LifeGenes.lifegenes_core.genetic_sampler import collect_dna
import logging
from LifeGenes.lifegenes_core.setupLog import setupLog
setupLog('genetic_sampler.log')
collect_dna()
# this script creates a cell genome for each cell in the current layer,
# and then displays the genetic 'color' of each cell by creating another
# layer using the custom rule 'constant.table' which allows for 255
# unchanging states (and thus a nice range of colors).
# Please see the [LifeGenes project for genetic cellular automaton](https://github.com/7yl4r/LifeGenes) for more info.
from LifeGenes.lifegenes_core.environment import environment as lifegenes_environment
from LifeGenes.lifegenes_core.setupLog import setupLog
import logging
setupLog('drawColors.log')
import golly as g
lg_envmt = lifegenes_environment()
lg_envmt.drawColor()
# this script allows for testing of lifegenes functionality from the python command line rather than the golly environment. Currently this is accomplished by using a mock-golly module called folly (short for fake-golly). The folly module does not actually perform all functions as golly would, it just looks like it for testing.
try: # print a nice message if someone tries to open this script from w/in golly
import golly as g
g.exit('this script is for dev test only and cannot be run from within golly, check out the scripts in the "LifeGenes" folder instead')
except:
from LifeGenes.lifegenes_core.tests.folly import folly as g
from LifeGenes.lifegenes_core.setupLog import setupLog
from LifeGenes.lifegenes_core.tests.optimization_tools import timedRuns
from os import system
import logging
setupLog('__test_LifeGenes.log')
def wait():
try:
system('pause') #windows, doesn't require enter
except:
system('read -p "Press any key to continue"') #linux
# MAIN
logging.info('script started')
nruns = 10
print 'testing environment...'
from LifeGenes.lifegenes_core.environment import environment as lifegenes_environment
lg_envmt = lifegenes_environment()
testNames = list()
testTimes = list()
#this script allows the user to select a genetic sample saved pallate and draw cells.
import golly as g
from LifeGenes.lifegenes_core.cellList import cellList
from LifeGenes.lifegenes_core.environment import environment
from LifeGenes.lifegenes_core.cell import Cell
import logging
from LifeGenes.lifegenes_core.setupLog import setupLog
setupLog('genetic_filler.log')
from LifeGenes.lifegenes_core.cellPallate import cellPallate
def draw_dna():
logging.debug('loading cell pallate')
pallate = cellPallate()
pallate.load()
logging.debug('getting default pallate selection')
chosenCell = pallate.getUserChoice()
chosenName = pallate.getSelectedCellName()
g.show('now drawing with DNA from '+chosenName)
logging.debug('now drawing with DNA from '+chosenName+'='+str(chosenCell))
# prepare environment
env = environment()
logging.debug('turning on golly even script access')
event = g.getevent(True) # turn on golly event script access
# === let user draw
g.setcursor("Draw")
try: #this try statement is just to ensure the 'finally' block is run
# then displays the genetic 'color' of each cell.
# The script then begins cycling between rounds of cell movement and cell evolution.
# Please see the [LifeGenes project for genetic cellular automaton](https://github.com/7yl4r/LifeGenes) for more info.
try:
import golly as g
except ImportError:
from LifeGenes.lifegenes_core.tests.folly import folly as g
from LifeGenes.lifegenes_core.environment import environment as lifegenes_environment
from time import time #for debugging timers
from LifeGenes.lifegenes_core.setupLog import setupLog
import logging
setupLog('stressTest.log')
def makeCheckerBoard(size):
for x in range(size):
for y in range(size):
g.setcell(x,y,(x+y)%2)
class run():
def __init__(self):
try:
g.show('setting up test')
testSize = 100 #this is the size of one side of the square testing area
g.select([-testSize/2,-testSize/2,testSize,testSize])
# this script creates a cell genome for each cell in the current layer,
# then displays the genetic 'color' of each cell.
# The script then begins cycling between rounds of cell movement and cell evolution.
# Please see the [LifeGenes project for genetic cellular automaton](https://github.com/7yl4r/LifeGenes) for more info.
import golly as g
from LifeGenes.lifegenes_core.environment import environment as lifegenes_environment
# import time #for delays when debugging
from LifeGenes.lifegenes_core.setupLog import setupLog
import logging
setupLog('movingCells.log')
class run():
def __init__(self):
logging.info('script started')
lg_envmt = lifegenes_environment()
lg_envmt.drawColor()
logging.info('setup complete; beginning evolution cycles')
try:
while(True): #until stopped by golly
g.show('cells moving')
for i in range(5): # rounds of cell movement
#logging.debug('movement round '+str(i))
lg_envmt.cellMotions()
#logging.debug('cells moved')
lg_envmt.drawColor()
# this script creates a cell genome for each cell in the current layer,
# and then displays the genetic 'color' of each cell by creating another
# layer using the custom rule 'constant.table' which allows for 255
# unchanging states (and thus a nice range of colors).
# Please see the [LifeGenes project for genetic cellular automaton](https://github.com/7yl4r/LifeGenes) for more info.
from LifeGenes.lifegenes_core.environment import environment as lifegenes_environment
from LifeGenes.lifegenes_core.setupLog import setupLog
import golly as g
import logging
setupLog('evolveCellsWithColor.log')
class run():
def __init__(self):
logging.info('script started')
lg_envmt = lifegenes_environment()
lg_envmt.drawColor()
logging.info('setup complete; beginning evolution cycles')
try:
while(True): #until stopped by golly
g.step()
#g.update()
lg_envmt.update()
lg_envmt.drawColor()
g.update()
finally:
logging.info('cycling halted from external source (probably golly)')
g.show('closing gracefully, hold on just a sec...')
lg_envmt.teardown()
