def rule_boring():
explode = 0
die = 0
num_trial = 8
for i in range(num_trial):
g.new("")
g.select([0, 0, 32, 32])
g.randfill(50)
g.run(16)
if int(g.getpop()) == 0:
die += 1
continue
r = g.getrect()
if r[2] > 60 and r[3] > 60:
explode += 1
continue
return -1
if explode == num_trial:
return 0
if die == num_trial:
return 1
return -1
def canonise():
p = bijoscar(4)
representation = "#"
for i in range(abs(p)):
rect = g.getrect()
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1], 1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1], -1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1]+rect[3]-1, 1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1]+rect[3]-1, -1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1], 0, 1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1], 0, -1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1]+rect[3]-1, 0, 1, -1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1]+rect[3]-1, 0, -1, -1, 0))
g.run(1)
if (p<0):
prefix = "q"+str(abs(p))
elif (p==1):
prefix = "s"+str(g.getpop())
else:
prefix = "p"+str(p)
return "x"+prefix+"_"+representation
def GunArea(cells, curGunPeriod): maxBox = [] minpop = -100000 for i in xrange(0, curGunPeriod, 4): g.new(str(i)) g.putcells(g.evolve(cells, i)) g.setbase(8) g.setstep(3) g.step() g.step() edgeGlider = EdgeGlider() while PerformDelete(edgeGlider, curGunPeriod): edgeGlider = DevolveGlider(edgeGlider, curGunPeriod) for j in xrange(0, 4): if g.getpop() > minpop: maxpop = g.getpop() maxpopgun = g.getcells(g.getrect()) maxBox = AppendBox(maxBox, g.getrect()) g.run(1) return [BoxValue(maxBox), maxpopgun, maxBox]
def goto(newgen, delay):
g.show("goto running, hit escape to abort...")
oldsecs = time()
# before stepping we advance by 1 generation, for two reasons:
# 1. if we're at the starting gen then the *current* step size
# will be saved (and restored upon Reset/Undo) rather than a
# possibly very large step size
# 2. it increases the chances the user will see updates and so
# get some idea of how long the script will take to finish
# (otherwise if the base is 10 and a gen like 1,000,000,000
# is given then only a single step() of 10^9 would be done)
if delay <= 1.0:
g.run(1)
newgen -= 1
# use fast stepping (thanks to PM 2Ring)
for i, d in enumerate(intbase(newgen, g.getbase())):
if d > 0:
g.setstep(i)
for j in xrange(d):
if g.empty():
g.show("Pattern is empty.")
return
g.step()
newsecs = time()
if newsecs - oldsecs >= delay: # time to do an update?
oldsecs = newsecs
g.update()
g.show("")
def bijoscar(maxsteps):
initpop = int(g.getpop())
initrect = g.getrect()
if (len(initrect) == 0):
return 0
inithash = g.hash(initrect)
for i in xrange(maxsteps):
g.run(1)
if (int(g.getpop()) == initpop):
prect = g.getrect()
phash = g.hash(prect)
if (phash == inithash):
period = i + 1
if (prect == initrect):
return period
else:
return -period
return -1
def bijoscar(maxsteps):
initpop = int(g.getpop())
initrect = g.getrect()
if (len(initrect) == 0):
return 0, None
inithash = g.hash(initrect)
for i in range(maxsteps):
g.run(1)
if (int(g.getpop()) == initpop):
prect = g.getrect()
phash = g.hash(prect)
if (phash == inithash):
period = i + 1
if (prect == initrect):
return period, (0, 0)
else:
dx = prect[0] - initrect[0]
dy = prect[1] - initrect[1]
return period, (dx, dy)
return -1, None
def envelope ():
# draw stacked layers using same location and scale
g.setoption("stacklayers", 1)
g.show("Hit escape key to stop script...")
while True:
g.run(1)
if g.empty():
g.show("Pattern died out.")
break
# copy current pattern to envelope layer;
# we temporarily disable event checking so thumb scrolling
# and other mouse events won't cause confusing changes
currpatt = g.getcells(g.getrect())
g.check(0)
g.setlayer(envindex)
g.putcells(currpatt)
g.setlayer(currindex)
g.check(1)
step = 1
exp = g.getstep()
if exp > 0:
step = g.getbase()**exp
if int(g.getgen()) % step == 0:
# display all 3 layers (envelope, start, current)
g.update()
def SaveForwardSalvoData(dir):
g.new("")
MakeBackwardSalvo(step, 0, 0, 0, True, True)
rectB = g.getrect()
g.new("")
MakeForwardSalvo(step, 0, 0, 0, True, True)
rectF = g.getrect()
g.run(3)
forwardRecipe = FindWssByDirection(True, distForward)
forwardRecipe.reverse()
fRecipe = []
dx = rectB[0] - (rectF[0] + rectF[2]) - 100
dx = int(dx / 8) * 8
for i in xrange(0, len(forwardRecipe)):
x, y, d = forwardRecipe[i]
fRecipe.append((x + dx, y + 1, d))
pickle.dump(
fRecipe, open(path.join(dir,
str(step) + "_ForwardSalvoAuto.pkl"), "wb"))
def goto(newgen, delay):
g.show("goto running, hit escape to abort...")
oldsecs = time()
# before stepping we advance by 1 generation, for two reasons:
# 1. if we're at the starting gen then the *current* step size
# will be saved (and restored upon Reset/Undo) rather than a
# possibly very large step size
# 2. it increases the chances the user will see updates and so
# get some idea of how long the script will take to finish
# (otherwise if the base is 10 and a gen like 1,000,000,000
# is given then only a single step() of 10^9 would be done)
if delay <= 1.0:
g.run(1)
newgen -= 1
# use fast stepping (thanks to PM 2Ring)
for i, d in enumerate(intbase(newgen, g.getbase())):
if d > 0:
g.setstep(i)
for j in range(d):
if g.empty():
g.show("Pattern is empty.")
return
g.step()
newsecs = time()
if newsecs - oldsecs >= delay: # time to do an update?
oldsecs = newsecs
g.update()
g.show("")
def canonise():
p = bijoscar(MAXPERIOD)
if p == -1:
# In rules with photons the pattern may be periodic, but not in CGoL
return ""
representation = "#"
for i in range(abs(p)):
rect = g.getrect()
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1], 1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1], -1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1]+rect[3]-1, 1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1]+rect[3]-1, -1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1], 0, 1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1], 0, -1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1]+rect[3]-1, 0, 1, -1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1]+rect[3]-1, 0, -1, -1, 0))
g.run(1)
if (p<0):
prefix = "xq" + str(abs(p))
elif (p==1):
prefix = "xs" + str(g.getpop())
else:
prefix = "xp" + str(p)
return prefix + "_" + representation
def GunArea(cells, curGunPeriod): maxBox = [10000, 10000, -1000, -1000] for i in xrange(0, curGunPeriod, 4): g.new(str(i)) g.putcells(g.evolve(cells, i)) g.setbase(8) g.setstep(3) g.step() g.step() g.step() g.step() edgeGlider = EdgeGlider() while PerformDelete(edgeGlider, curGunPeriod): edgeGlider = DevolveGlider(edgeGlider, curGunPeriod) for j in xrange(0, 4): maxBox = AppendBox(maxBox, g.getrect()) g.run(1) if i == 0: somegun = g.getcells(g.getrect()) return [BoxValue(maxBox), somegun, maxBox]
def envelope():
# draw stacked layers using same location and scale
g.setoption("stacklayers", 1)
g.show("Hit escape key to stop script...")
while True:
g.run(1)
if g.empty():
g.show("Pattern died out.")
break
# copy current pattern to envelope layer;
# we temporarily disable event checking so thumb scrolling
# and other mouse events won't cause confusing changes
currpatt = g.getcells(g.getrect())
g.check(0)
g.setlayer(envindex)
g.putcells(currpatt)
g.setlayer(currindex)
g.check(1)
step = 1
exp = g.getstep()
if exp > 0:
step = g.getbase()**exp
if int(g.getgen()) % step == 0:
# display all 3 layers (envelope, start, current)
g.update()
def canonise():
p = bijoscar(1000)
representation = "#"
for i in range(abs(p)):
rect = g.getrect()
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1], 1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1], -1, 0, 0, 1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0], rect[1]+rect[3]-1, 1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[2], rect[3], rect[0]+rect[2]-1, rect[1]+rect[3]-1, -1, 0, 0, -1))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1], 0, 1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1], 0, -1, 1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0], rect[1]+rect[3]-1, 0, 1, -1, 0))
representation = compare_representations(representation, canonise_orientation(rect[3], rect[2], rect[0]+rect[2]-1, rect[1]+rect[3]-1, 0, -1, -1, 0))
g.run(1)
if (p<0):
prefix = "q"+str(abs(p))
elif (p==1):
prefix = "s"+str(g.getpop())
else:
prefix = "p"+str(p)
rule = str.replace(g.getrule(),"/","").lower()
webbrowser.open_new("http://catagolue.appspot.com/object?apgcode=x"+prefix+"_"+representation+"&rule="+rule)
def testRule(rulestr):
r = g.getrect()
if r:
g.select(r)
g.clear(0)
g.putcells(origPatt)
g.setrule(rulestr)
g.run(stabGen)
if g.empty():
return ()
pop = int(g.getpop())
if (pop < minPop or pop > maxPop):
return ()
r = g.getrect()
testPatt = g.transform(g.getcells(r), -r[0], -r[1])
testPop = int(g.getpop())
testRect = g.getrect()
stabPatt = list(testPatt)
stabPop = testPop
for ii in xrange(maxGen):
g.run(1)
pop = int(g.getpop())
if (pop < minPop or pop > maxPop):
break
if (pop == testPop):
# Test for periodicity
r = g.getrect()
if testPatt == g.transform(g.getcells(r), -r[0], -r[1]):
period = ii + 1
dy, dx = sss.minmaxofabs(
(r[0] - testRect[0], r[1] - testRect[1]))
if (dx == 0):
# Oscillator (reject if low period or bOsc is False)
if bOsc and period >= minOscP:
return (0, 0, period)
elif (period >= minShipP):
# Spaceship
return (dx, dy, period)
elif ((dx + dy / 1.9) / (period * 1.0) > minSpeed
and period >= fastShipP):
# Fast spaceship
return (dx, dy, period)
break # Pattern is a low period oscillator or spaceship
# Stability check
if (ii % stabCheckP == 0):
r = g.getrect()
# First check for BBox expansion
if maxDim > 0 and max(r[2:4]) > maxDim:
# Pattern is expanding
# XXX Attempt to separate components expanding in different directions
break
currPatt = g.transform(g.getcells(r), -r[0], -r[1])
if (pop == stabPop and currPatt == stabPatt):
# Pattern has stabilised to low period oscillator / spaceship
break
stabPop = pop
stabPatt = list(currPatt)
return ()
def HasEdgeShooter(minx): rect = g.getrect() if len(rect) == 0: return -1 y = rect[1] + rect[3] if y < 100: return -1 if rect[2] > 120: return -1 g.run(4) rect = g.getrect() if y + 2 == rect[1] + rect[3]: maxX = -10000 minL = 10000 minY = 10000 for i in xrange(0, 4): g.run(1) rect = g.getrect() curCells = g.getcells([rect[0], rect[1] + rect[3] - 10, rect[2], 11]) curx, cury = FindRightMost(curCells) curL = len(curCells) if curL <= minL: minL = curL if curx > maxX or (curx == maxX and cury < minY): maxX = curx minY = cury parity = (int(g.getgen()) % 4) + ((cury - curx + 1000000)% 2) * 4 if curL == 22: parity += 8 if curL == 26: parity += 16 if minx - 2 > maxX: cells = g.getcells([-100, -100, 200, 200]) for i in xrange(1, len(cells), 2): if cells[i - 1] - 2 < maxX: return -1 return parity return -1
def trygliders(ginfo):
gdistance = ginfo / 4
phase = ginfo % 4
bstatus = boxstatus
pstatus = popstatus
for num in xrange(8):
tlist = form(celllist, num)
rect = boxform(fullrect, num)
g.new('')
g.putcells(tlist)
gx = rect[0] - 3 - gdistance
gy = rect[1] - 3 - gdistance
for w in xrange(rect[2] + 5):
g.new('')
g.putcells(tlist)
g.putcells(glider[phase], gx + w, gy)
g.fit()
g.update()
for gen in xrange(1000):
g.run(1)
if int(g.getpop()) <= 2:
g.new('')
g.show("Found clean glider destruction.")
status = 0, num, phase, [gx + w, gy]
putcells_and_fit(result(celllist, status))
g.exit()
box = g.getrect()[2:]
# Checking the bounding box size and population against the current lowest found.
if reduce(mul, box) < reduce(mul, bstatus[0]):
bstatus = (box, num, phase, [gx + w, gy])
pop = int(g.getpop())
if pop < pstatus[0]:
pstatus = (pop, num, phase, [gx + w, gy])
# Show results if the user presses certain keys
event = g.getevent()
if event.startswith("key x"):
g.new('')
put_result_pair(celllist, bstatus, pstatus)
g.select(g.getrect())
g.copy()
g.select([])
g.note(
"Minimum bounding box and population collisions copied to clipboard."
)
if event.startswith("key q"):
g.new('')
g.show("Search stopped.")
put_result_pair(celllist, bstatus, pstatus)
g.fit()
g.exit()
g.show(
"Searching for a 1-glider destruction... press <x> to copy minimum bounding box and population results to clipboard; press <q> to quit. Stats: minimum bounding box %dx%d, minimum population %d"
% (bstatus[0][0], bstatus[0][1], pstatus[0]))
return bstatus, pstatus
def goto(newgen):
currgen = int(g.getgen())
if newgen < currgen:
# try to go back to starting gen (not necessarily 0) and
# then forwards to newgen; note that reset() also restores
# algorithm and/or rule, so too bad if user changed those
# after the starting info was saved;
# first save current location and scale
midx, midy = g.getpos()
mag = g.getmag()
g.reset()
# restore location and scale
g.setpos(midx, midy)
g.setmag(mag)
# current gen might be > 0 if user loaded a pattern file
# that set the gen count
currgen = int(g.getgen())
if newgen < currgen:
g.error("Can't go back any further; pattern was saved " +
"at generation " + str(currgen) + ".")
return
if newgen == currgen: return
oldsecs = time()
# before stepping we advance by 1 generation, for two reasons:
# 1. if we're at the starting gen then the *current* step size
# will be saved (and restored upon Reset/Undo) rather than a
# possibly very large step size
# 2. it increases the chances the user will see updates and so
# get some idea of how long the script will take to finish
# (otherwise if the base is 10 and a gen like 1,000,000,000
# is given then only a single step() of 10^9 would be done)
g.run(1)
currgen += 1
# use fast stepping (thanks to PM 2Ring)
oldstep = g.getstep()
for i, d in enumerate(intbase(newgen - currgen, g.getbase())):
if d > 0:
g.setstep(i)
for j in xrange(d):
if g.empty():
g.show("Pattern is empty.")
return
g.step()
newsecs = time()
if newsecs - oldsecs >= 1.0: # do an update every sec
oldsecs = newsecs
g.update()
g.setstep(oldstep)
def Placement(self, movementData, idx, attachedPatList, snip):
while True:
event = g.getevent()
if event == "":
self.ManageMove(attachedPatList[idx], movementData)
elif "click" in event:
if "right" in event:
movementData.RevertState()
idx = (idx + 1) % len(attachedPatList)
movementData = self.GetMovementData(attachedPatList, idx)
self.ManageMove(attachedPatList[idx], movementData)
elif "left" in event:
if snip == None:
snip = PlacementSnippet(attachedPatList, idx,
movementData)
self.snippets.append(snip)
else:
snip.Update(attachedPatList, idx, movementData)
movementData.UpdateCellDictionary(self.smarCells, snip.id)
return
elif "key" in event:
if "space" in event:
for i in xrange(0, 30):
g.run(60)
g.update()
g.reset()
g.update()
elif "right" in event:
movementData.delta += 1
elif "left" in event:
movementData.delta -= 1
elif "delete" in event:
movementData.RevertState()
g.update()
return
def goto(newgen):
currgen = int(g.getgen())
if newgen < currgen:
# try to go back to starting gen (not necessarily 0) and
# then forwards to newgen; note that reset() also restores
# algorithm and/or rule, so too bad if user changed those
# after the starting info was saved;
# first save current location and scale
midx, midy = g.getpos()
mag = g.getmag()
g.reset()
# restore location and scale
g.setpos(midx, midy)
g.setmag(mag)
# current gen might be > 0 if user loaded a pattern file
# that set the gen count
currgen = int(g.getgen())
if newgen < currgen:
g.error("Can't go back any further; pattern was saved " +
"at generation " + str(currgen) + ".")
return
if newgen == currgen: return
oldsecs = time()
# before stepping we advance by 1 generation, for two reasons:
# 1. if we're at the starting gen then the *current* step size
# will be saved (and restored upon Reset/Undo) rather than a
# possibly very large step size
# 2. it increases the chances the user will see updates and so
# get some idea of how long the script will take to finish
# (otherwise if the base is 10 and a gen like 1,000,000,000
# is given then only a single step() of 10^9 would be done)
g.run(1)
currgen += 1
# use fast stepping (thanks to PM 2Ring)
oldstep = g.getstep()
for i, d in enumerate(intbase(newgen - currgen, g.getbase())):
if d > 0:
g.setstep(i)
for j in xrange(d):
if g.empty():
g.show("Pattern is empty.")
return
g.step()
newsecs = time()
if newsecs - oldsecs >= 1.0: # do an update every sec
oldsecs = newsecs
g.update()
g.setstep(oldstep)
def Placement(self, movementData, idx, attachedPatList, snip): while True: event = g.getevent() if event == "": self.ManageMove(attachedPatList[idx], movementData) elif "click" in event: if "right" in event: movementData.RevertState() idx = (idx + 1) % len(attachedPatList) movementData = self.GetMovementData(attachedPatList, idx) self.ManageMove(attachedPatList[idx], movementData) elif "left" in event: if snip == None: snip = PlacementSnippet(attachedPatList, idx, movementData) self.snippets.append(snip) else: snip.Update(attachedPatList, idx, movementData) movementData.UpdateCellDictionary(self.smarCells, snip.id) return elif "key" in event: if "space" in event: for i in xrange(0, 30): g.run(60) g.update() g.reset() g.update() elif "right" in event: movementData.delta += 1 elif "left" in event: movementData.delta -= 1 elif "delete" in event: movementData.RevertState() g.update() return
def SaveForwardSalvoData():
g.new("")
MakeForwardSalvo(step, 0, 0, 0, True, True)
g.run(3)
forwardRecipe = FindWssByDirection(True, 750)
forwardRecipe.reverse()
fRecipe = []
for i in xrange(0, len(forwardRecipe)):
x, y, d = forwardRecipe[i]
fRecipe.append((x - 400, y + 1, d))
pickle.dump(fRecipe, open(path.join(dir, str(step) + "_ForwardSalvo.pkl"), "wb"))
def SaveForwardSalvoData():
g.new("")
MakeForwardSalvo(step, 0, 0, 0, True, True)
g.run(3)
forwardRecipe = FindWssByDirection(True, 750)
forwardRecipe.reverse()
fRecipe = []
for i in xrange(0, len(forwardRecipe)):
x, y, d = forwardRecipe[i]
fRecipe.append((x - 400, y + 1, d))
pickle.dump(fRecipe, open(path.join(dir, str(step) + "_ForwardSalvo.pkl"), "wb"))
def CalculateLane(cells):
g.new("")
g.putcells(cells)
cells = g.getcells(g.getrect())
g.new("")
g.putcells(cells, -cells[0], -cells[1])
minx = 1000
maxx = -1000
for i in xrange(0, 4):
rect = g.getrect()
minx = min(minx, rect[0])
maxx = max(maxx, rect[0] + rect[2])
g.run(1)
return (minx, maxx)
def analyse (gogen, glcnt, minpop, maxpop, mingl):
if glcnt < mingl:
return (False, 0)
g.run (gogen)
inrect = g.getrect ()
clean (inrect)
endpop = int (g.getpop ())
if endpop < minpop or endpop > maxpop:
return (False, 0)
rect = g.getrect ()
if rect == []:
return (True, 0)
else:
addmarkers (inrect)
return (True, g.hash (inrect))
def CalculateLane(cells):
g.new("")
g.putcells(cells)
cells = g.getcells(g.getrect())
g.new("")
g.putcells(cells, -cells[0], -cells[1])
minx = 1000
maxx = -1000
for i in xrange(0, 4):
rect = g.getrect()
minx = min(minx, rect[0])
maxx = max(maxx, rect[0] + rect[2])
g.run(1)
return (minx, maxx)
def better_randfill():
g.new('')
g.select([-10, -10, GRID_SIZE[0], GRID_SIZE[1]])
g.randfill(random.randrange(50))
g.select([])
g.autoupdate(True)
cnt = 0
for x in range(0, GENS):
cnt += 1
if not g.empty():
g.run(1)
if is_static():
break
time.sleep(0.05)
else:
break
if cnt % 10 == 0:
g.fit()
def run_patt(known_cells):
global patt_count, meth_count
g.new("PlutoniumSearch")
g.reset()
g.update()
patt_count += 1
#patt = g.parse(known_cells + "!")
patt = g.parse(known_cells[1:] + "!")
#g.note(known_cells[1:] + "!")
g.putcells(patt)
g.update()
hashlist = {}
for gene in range(999):
if g.empty():
break
if g.hash(g.getrect()) in hashlist:
p = int(g.getgen()) - hashlist[g.hash(g.getrect())]
if not p in boring_periods:
g.reset()
g.save("p" + str(p) + "_" + str(cnt[p]) + ".rle", "rle")
cnt[p] += 1
break
else:
hashlist[g.hash(g.getrect())] = int(g.getgen())
g.run(1)
"""
except:
# Pattern dies
if int(g.getgen()) > min_lifespan:
meth_count += 1
newlifespan = int(g.getgen())
g.new("Saving methuselah")
g.putcells(patt)
try:
g.save("diehard-" + str(newlifespan) + ".rle", "rle")
except:
pass
g.update()
#max_final_pop = newpop
break"""
#g.warn(str(hashlist))
g.show(str(patt_count) + "/" + str(2**(bx * by)))
def PeriodCalculator(): g.setbase(8) g.setstep(3) g.step() g.step() cells = g.getrect() rect = g.getrect() cells = g.getcells(rect) for i in xrange(0, 10000): g.run(1) if str(g.getcells(rect)) == str(cells): #g.show(str(i + 1)) #g.reset return i + 1 return -1
def construct(self):
g.new('')
g.setrule("LifeHistory")
events = sorted(self.timeline, reverse=True)
time = -240 * 20
nextrow = time + 240
top_y = 0
for y in range(60):
g.setcell(self.left, y, 6)
g.setcell(self.right, y, 6)
rephasing = [0] * len(self.columns)
while events:
if events[-1][0] < nextrow:
t, c = events.pop()
g.run(t-time)
time = t
x, y, excess = self.columns[c]
#place bhep, reflecting in the odd columns
g.putcells(self.b_hep,
x + (c%2),
rephasing[c] + y,
-1 if (c%2) else 1)
#add blocks to absorb excess gliders
for i in range(excess):
g.putcells(self.absorber,
x + (c%2),
rephasing[c] + y - 31 * i,
-1 if (c%2) else 1)
rephasing[c] += 31 - 9
else:
for x, y, _ in self.columns:
g.putcells(g.parse("2o$2o!", x, 2*top_y+y))
g.putcells(g.parse("2o$2o!", x, 2*top_y-31+y))
for _ in range(31):
top_y -= 1
g.setcell(self.left, top_y, 6)
g.setcell(self.right, top_y, 6)
g.run(nextrow-time)
time = nextrow
nextrow += 240
def PerformDelete(glider, gunPeriod):
initCells = g.getcells(g.getrect())
for j in xrange(0, len(glider), 2):
if g.getcell(glider[j], glider[j + 1]) != 1:
return False
Erase(glider)
rect = g.getrect()
cells = g.getcells(rect)
g.run(gunPeriod)
if str(g.getcells(rect)) == str(cells):
g.new("")
g.putcells(cells)
return True
else:
g.new("")
g.putcells(initCells)
return False
def EdgeGlider(): for i in xrange(0, 4): rect = g.getrect() x0 = rect[0] + rect[2] - 3 y0 = rect[1] + rect[3] - 3 gldFound = True for j in xrange(0, len(gld), 2): if g.getcell(x0 + gld[j], y0 + gld[j + 1]) == 0: gldFound = False break if gldFound: return g.getcells([x0, y0, 3, 3]) g.run(1) return -1
def main( step = 1, start = 0 ): # set dir name from current date d = datetime.datetime.today() dirName = "shiki_%02d-%02d-%02d-%02d" % (d.day, d.hour, d.minute, d.second) # create directory exportDir = "%s/%s" % (dstDir, dirName) if not os.path.exists( exportDir ): os.makedirs( exportDir ) # get bound size = getImageSize( srcPath ) bound = [ -expand, -expand, size[0] + expand * 2, size[1] + expand * 2 ] # loop for f in xrange( repeat ): g.show( "Processing... %d / %d" % (f+1, repeat) ) loadImage( srcPath ) g.run( 1 ) g.update() for i in xrange( interval ): g.run( 1 ) g.update() frame = f * interval + i saveImage( bound, "%s/%s/%s_%06d.png" % (dstDir, dirName, dirName, frame) )
def explode_dense():
num_trial = 2
for i in range(num_trial):
g.new("")
g.select([0, 0, 32, 32])
g.randfill(50)
g.run(128)
total = 0
for i in range(32):
total += len(g.getcells([0, 0, 32, 32])) / 2
g.run(32)
total /= 32
if total >= 300:
return True
return False
def SaveForwardSalvoData(dir):
g.new("")
MakeBackwardSalvo(step, 0, 0, 0, True, True)
rectB = g.getrect()
g.new("")
MakeForwardSalvo(step, 0, 0, 0, True, True)
rectF = g.getrect()
g.run(3)
forwardRecipe = FindWssByDirection(True, distForward)
forwardRecipe.reverse()
fRecipe = []
dx = rectB[0] - (rectF[0] + rectF[2]) - 100
dx = int(dx / 8) * 8
for i in xrange(0, len(forwardRecipe)):
x, y, d = forwardRecipe[i]
fRecipe.append((x + dx, y + 1, d))
pickle.dump(fRecipe, open(path.join(dir, str(step) + "_ForwardSalvoAuto.pkl"), "wb"))
def EventLoop():
global volume, genspersec
nextgen = 0.0
running = True
while True:
space = False
event = g.getevent()
if len(event) == 0:
sleep(0.005) # don't hog CPU if idle
elif event == "key space none":
running = False
space = True
nextgen = 0
elif event == "key return none":
running = not running
elif event == "key h none":
ShowHelp()
elif event == "key up none":
volume = min(1.0, volume + 0.1)
ShowInfo()
elif event == "key down none":
volume = max(0.0, volume - 0.1)
ShowInfo()
elif event == "key = none" or event == "key + none":
genspersec = min(30, genspersec + 1)
ShowInfo()
elif event == "key - none":
genspersec = max(1, genspersec - 1)
ShowInfo()
else:
g.doevent(event) # might be a keyboard shortcut
if (running or space) and time() >= nextgen:
g.run(1)
if g.empty(): g.exit("The pattern died.")
PlaySound()
g.update()
if not space: nextgen = time() + 1.0 / genspersec
def HasEdgeShooter(minx): rect = g.getrect() y = rect[1] + rect[3] if y < 100: return False g.run(4) rect = g.getrect() if y + 2 == rect[1] + rect[3]: maxX = -10000 maxL = -10000 for i in xrange(0, 4): g.run(1) rect = g.getrect() curCells = g.getcells([rect[0], rect[1] + rect[3] - 10, rect[2], 11]) curx = FindRightMost(curCells) curL = len(curCells) if curx > maxX: maxX = curx if curL > maxL: maxL = curL if minx - 2 > maxL: return 100 * maxL return maxL return False
def add_shooter(cost, inserter_cells, left_g, right_g=[], flip=True):
global shoot_defs
g.new('')
g.putcells(inserter_cells)
g.putcells(left_g)
g.putcells(right_g)
g.run(2048)
reaction_cells = g.getcells([-150,-150,300,300])
g.run(512)
if not all(g.getcell(x, y) for x, y in gld_pairs):
g.fit()
g.update()
assert(False)
stable_cells = set(zip(reaction_cells[::2], reaction_cells[1::2]))
for _ in range(4):
g.run(1)
for i in range(0, len(reaction_cells), 2):
tup = reaction_cells[i], reaction_cells[i+1]
if tup in stable_cells and not g.getcell(*tup):
stable_cells.remove(tup)
stable_cells2 = []
for x, y in stable_cells:
stable_cells2.append(x)
stable_cells2.append(y)
stable_cells = stable_cells2
tup = (cost, inserter_cells, left_g, right_g, reaction_cells, stable_cells)
shoot_defs.append(tup)
if flip:
shoot_defs.append((cost,
f(inserter_cells),
f(right_g),
f(left_g),
f(reaction_cells),
f(stable_cells)))
def burp():
test_signal=pattern("""
40bo$41bo$39b3o17$40bo4bo4bo4bo4bo$41bo4bo4bo4bo4bo$39b3o2b3o2b3o2b3o
2b3o3$40bo4bo4bo4bo4bo$41bo4bo4bo4bo4bo$39b3o2b3o2b3o2b3o2b3o3$40bo4bo
4bo4bo4bo$41bo4bo4bo4bo4bo$39b3o2b3o2b3o2b3o2b3o3$40bo4bo4bo4bo4bo$41b
o4bo4bo4bo4bo$39b3o2b3o2b3o2b3o2b3o3$bo38bo4bo4bo4bo4bo18bo$2bo38bo4bo
4bo4bo4bo18bo$3o36b3o2b3o2b3o2b3o2b3o16b3o37$40bo$41bo$39b3o!""")
prepare_burp()
ticks=0
tickstep=5
last_signal=-99999
viewport_speed=16
sel_speed=0.0
delta_sel=0.0
delay=-1.0
run_flag=False
ch=""
selx=600.0
sely=365.0
place_signal=3
helpstring="""Use ENTER and SPACE to run or halt the pattern;
use + and - to change the step size or delay value;
use arrow keys and mouse tools to pan and zoom in any pane;
T toggles between a tiled view and a single-pane view;
S creates another signal fleet near the detection mechanism;
R resets the Heisenburp device to its initial state;
Q quits out of the script and restores original settings."""
instr="Press H for help. "
g.show(instr + str(tickstep))
g.select([selx,sely,50,50])
# keyboard handling
while ch<>"q":
if place_signal>0:
if ticks-last_signal>1846:
test_signal.put(-150,60)
last_signal=ticks
place_signal-=1
if place_signal>0 and run_flag==True:
show_status_text("Next signal placement in " \
+ str(1847 - ticks + last_signal) + " ticks. " + instr, delay, tickstep)
else:
show_status_text(instr,delay,tickstep)
event = g.getevent()
if event.startswith("key"):
evt, ch, mods = event.split()
else:
ch = ""
if ch=="r":
prepare_burp()
ticks=0
last_signal=-99999
viewport_speed=16
sel_speed=0
run_flag=False
selx=600.0
sely=365.0
place_signal=3
g.select([selx,sely,50,50])
elif ch=="h":
g.note(helpstring)
elif ch=="t":
g.setoption("tilelayers",1-g.getoption("tilelayers"))
elif ch=="=" or ch=="+":
if delay>.01:
delay/=2
elif delay==.01:
delay=-1
else:
if tickstep==1:
tickstep=3
elif tickstep<250:
tickstep=(tickstep-1)*2+1
elif ch=="-" or ch=="_":
if delay==-1:
if tickstep==1:
delay=.01
else:
if tickstep==3:
tickstep=1
else:
tickstep=(tickstep-1)/2+1
else:
if delay<1:
delay*=2
elif ch=="space":
run_flag=False
elif ch=="return":
run_flag=not run_flag
elif ch=="s":
place_signal+=1
else:
# just pass any other keyboard/mouse event through to Golly
g.doevent(event)
# generation and selection speed handling
if ch=="space" or run_flag==True:
g.run(tickstep)
currlayer = g.getlayer()
if currlayer != 4:
# user has switched layer so temporarily change it back
# so we only change location of bottom right layer
g.check(False)
g.setlayer(4)
x, y = getposint()
oldticks=ticks
ticks+=tickstep
delta_view=int(ticks/viewport_speed) - int(oldticks/viewport_speed)
if delta_view <> 0: # assumes diagonal motion for now
setposint(x + delta_view, y + delta_view)
sel = g.getselrect()
if len(sel)<>0:
x, y, w, h = sel
if int(selx)<>x: # user changed selection
# prepare to move new selection instead (!?!)
# -- use floating-point selx, sely to account for fractional speeds
selx=x
sely=y
else:
selx+=sel_speed*tickstep
sely+=sel_speed*tickstep
g.select([selx, sely, w, h])
else:
g.select([selx, sely, 50, 50])
if currlayer != 4:
g.setlayer(currlayer)
g.check(True)
# change viewport speed at appropriate times to follow the action
if oldticks<4570 and ticks>=4570:
sel_speed=.666667
# one-time correction to catch up with the signal at high sim speeds
g.select([600+(ticks-4570)*1.5, 365+(ticks-4570)*1.5, w, h])
if selx>2125:
sel_speed=0
g.select([2125, sely+2125-selx, w, h])
if oldticks<4750 and ticks>=4750: viewport_speed=1.5
if oldticks<6125 and ticks>=6125: viewport_speed=16
if oldticks>=11995: viewport_speed=99999.9
# stop automatically after the last signal passes through the device
if oldticks - last_signal<8705 and ticks - last_signal>=8705:
run_flag=False
if run_flag==True and delay>0:
sleep(delay)
g.update()
soupfilepath = "/home/scorbie/Apps/ptbtest/random"
nsoups = int(g.getstring("How many soups?", "1000"))
soupsize = 10 # int(g.getstring('Soup size?', '10'))
if g.getrule() == "LifeHistory":
g.setrule("B3/S23")
if g.numstates() > 2:
g.exit("This script only works with two-state rules.")
soups = []
x, y, w, h = r = [0, 0, soupsize, soupsize]
cellchar = [".", "a"]
while len(soups) < nsoups:
g.new("Generating Soups")
g.select(r)
g.randfill(40)
g.run(250)
# To avoid 'Empty Pattern!' messages in status bar.
if int(g.getpop()) == 0:
continue
if not q.testquiescence(60):
g.reset()
soupstr = "!".join(
"".join(cellchar[g.getcell(i, j)] for j in xrange(0, soupsize + 1)) for i in xrange(0, soupsize + 1)
)
soups.append(soupstr)
g.show("Soup {}/{}".format(len(soups), nsoups))
with open(soupfilepath, "w") as soupfile:
soupfile.write("\n".join(soups))
g.show("Soups successfully saved in {}.".format(soupfilepath))
lines.append(line)
res = []
for i in xrange(0, len(splitVals)):
res.append(int(splitVals[i]))
recipes.append(res)
gld = g.parse("3o$o$bo!")
block = g.parse("2o$2o!", 0, 0)
d = 0
for r in recipes:
g.putcells(block, d)
for i in xrange(0, len(r)):
g.putcells(gld, 200 * (i + 1) + d, 200 * (i + 1) + r[i])
d += 1000
g.run(50000)
wssList = pickle.load(open(path.join(g.getdir("data"),"WssData.pkl"),"rb") )
objects = FindObjects(wssList)
objects.sort()
res = "Gen:50000,Step:200\n"
for i in xrange(0, len(objects)):
x, y, val = object[i]
x -= 1000 * i
res += str((x, y)) + ":" + lines[i] + "\n"
with open(outputFile, "w") as text_file:
text_file.write(res)
genlist.insert(pos, int(g.getgen()))
poplist.insert(pos, int(g.getpop()))
boxlist.insert(pos, pbox)
return False
# --------------------------------------------------------------------
def fit_if_not_visible():
# fit pattern in viewport if not empty and not completely visible
r = rect(g.getselrect())
if (not r.empty) and (not r.visible()): g.fit()
# --------------------------------------------------------------------
g.show("Checking for oscillation... (hit escape to abort)")
oldsecs = time()
while not oscillating():
g.run(1)
newsecs = time()
if newsecs - oldsecs >= 1.0: # show pattern every second
oldsecs = newsecs
fit_if_not_visible()
g.update()
fit_if_not_visible()
totalperiod = 1
for period in periodlist:
totalperiod = lcm(period, totalperiod)
longest = [], 0
for soupnum in range(soups):
g.new('')
g.select([0, 0, 5, 5])
g.randfill(50)
currsoup = g.getcells([0, 0, 5, 5])
currpop = g.getpop()
sameaslast = 0
totalgens = 0
success = False
while totalgens < maxgens:
g.run(totalperiod)
totalgens += totalperiod
if g.getpop() == currpop:
sameaslast += 1
else:
sameaslast == 0
currpop = g.getpop()
if sameaslast == 5:
# We assume it's stabilized
success = True
totalgens -= totalperiod * 5
if totalgens > longest[1]:
longest = currsoup, totalgens
break
if not success:
g.new('')
# store hash/gen/pop/box info at same position in various lists
hashlist.insert(pos, h)
genlist.insert(pos, int(g.getgen()))
poplist.insert(pos, int(g.getpop()))
boxlist.insert(pos, pbox)
return False
# --------------------------------------------------------------------
def fit_if_not_visible():
# fit pattern in viewport if not empty and not completely visible
r = rect(g.getrect())
if (not r.empty) and (not r.visible()): g.fit()
# --------------------------------------------------------------------
g.show("Checking for oscillation... (hit escape to abort)")
oldsecs = time()
while not oscillating():
g.run(1)
newsecs = time()
if newsecs - oldsecs >= 1.0: # show pattern every second
oldsecs = newsecs
fit_if_not_visible()
g.update()
fit_if_not_visible()
rect = g.getrect()
cells = g.getcells([rect[0], rect[1], rect[2], 4 * distBack])
g.new("")
g.putcells(cells)
for i in xrange(4):
cRecipe = FindWssByDirection(True, distForward)
x1, y1, id1 = cRecipe[0]
ConvertToRelative(cRecipe, distForward)
if str(forwardRecipe) == str(cRecipe):
break
g.run(1)
dgen = int(g.getgen())
cells = g.getcells(g.getrect())
dx = x1 - x0
dy = y1 - y0
g.new("")
g.putcells(cells, -dx, -dy)
SaveBackwardSalvoData(dir)
#'''
#This code creates the Head of the caterloopillar
rect = g.getrect()
cells = g.getcells([rect[0], rect[1], rect[2], 4 * distBack])
g.new("")
g.putcells(cells)
for i in xrange(4):
cRecipe = FindWssByDirection(True, distForward)
x1, y1, id1 = cRecipe[0]
ConvertToRelative(cRecipe, distForward)
if str(forwardRecipe) == str(cRecipe):
break
g.run(1)
dgen = int(g.getgen())
cells = g.getcells(g.getrect())
dx = x1 - x0
dy = y1 - y0
g.new("")
g.putcells(cells, -dx, -dy)
SaveBackwardSalvoData(dir)
#'''
#This code creates the Head of the caterloopillar
def FindAllHs(cells):
g.new("")
g.putcells(cells)
rect = g.getrect()
min = 10000
max = -10000
for i in xrange(1, len(cells), 2):
cx = cells[i - 1]
cy = cells[i]
dx = 40 - cx
cy += dx
if cy < min:
min = cy
if cy > max:
max = cy
answer = [[],[]]
if (min - 9) % 2 != 0:
min += 1
for i in xrange(min - 9 - 40, max + 6 - 40, 2):
g.new("")
g.putcells(cells)
g.putcells(gld, 40, 40 + i)
g.setstep(3)
g.step()
g.step()
if int(g.getpop()) > 80 or int(g.getpop()) == 0:
continue
if g.getrect()[0] < -120:
continue
rect = g.getrect()
if rect[2] > 25 or rect[3] > 25:
continue
s = str(g.getcells(g.getrect()))
g.run(1)
if s == str(g.getcells(g.getrect())):
key = str(rect) + ":" + str(g.getpop())
SLs = []
if rect[2] < 8 and rect[3] < 8:
SLs = CountSL()
if len(SLs) == 1:
SLs[0].sort(key=lambda r: 100000 * r[1] + r[0])
x1 = SLs[0][0][0]
y1 = SLs[0][0][1]
for o in xrange(0, len(SLs[0])):
SLs[0][o][0] -= x1
SLs[0][o][1] -= y1
answer[0].append([i, x1, y1, SLs[0]])
if not (key in existingKeys):
existingDic[key] = []
existingKeys.append(key)
if s in existingDic[key]:
continue
else:
existingDic[key].append(s)
answer[1].append(i)
return answer
def main(): g.run(35328)
def quiescent (boundrect, period, clist, el, em, eh, sl, sm, sh, wl, wm ,wh, nl, nm, nh, se, sw, nw, ne):
if boundrect == []:
boundrect = g.getrect ()
if boundrect != []:
boundrect[0] = boundrect [0] - 1
boundrect[1] = boundrect [1] - 1
boundrect[2] = boundrect [2] + 2
boundrect[3] = boundrect [3] + 2
eastcells = allcells (el + em + eh)
clist = clistdiff (clist, eastcells)
if clist == []:
return (True)
if (eastcells != []) and (max (clist[::2]) + (2 * (period + 1)) > min (eastcells[::2])):
return (False)
southcells = allcells (sl + sm + sh)
clist = clistdiff (clist, southcells)
if clist == []:
return (True)
if (southcells != []) and (max (clist[1::2]) + (2 * (period + 1)) > min (southcells[1::2])):
return (False)
westcells = allcells (wl + wm + wh)
clist = clistdiff (clist, westcells)
if clist == []:
return (True)
if (westcells != []) and (min (clist[::2]) - (2 * (period + 1)) < max (westcells[::2])):
return (False)
northcells = allcells (nl + nm + nh)
clist = clistdiff (clist, northcells)
if clist == []:
return (True)
if (northcells != []) and (min (clist[1::2]) - (2 * (period + 1)) < max (northcells[1::2])):
return (False)
secells = allcells (se)
clist = clistdiff (clist, secells)
if clist == []:
return (True)
if (secells != []) and \
(max ([clist [n] + clist [n+1] for n in range (0, len (clist) - 1, 2)]) + (2 * (period + 1)) > \
min ([secells [n] + secells [n+1] for n in range (0, len (secells) - 1, 2)])):
return (False)
swcells = allcells (sw)
clist = clistdiff (clist, swcells)
if clist == []:
return (True)
if (swcells != []) and \
(max ([clist [n+1] - clist [n] for n in range (0, len (clist) - 1, 2)]) + (2 * (period + 1)) > \
min ([swcells [n+1] - swcells [n] for n in range (0, len (swcells) - 1, 2)])):
return (False)
nwcells = allcells (nw)
clist = clistdiff (clist, nwcells)
if clist == []:
return (True)
if (nwcells != []) and \
(min ([clist [n] + clist [n+1] for n in range (0, len (clist) - 1, 2)]) - (2 * (period + 1)) < \
max ([nwcells [n] + nwcells [n+1] for n in range (0, len (nwcells) - 1, 2)])):
return (False)
necells = allcells (ne)
clist = clistdiff (clist, necells)
if clist == []:
return (True)
if (necells != []) and \
(max ([clist [n] - clist [n+1] for n in range (0, len (clist) - 1, 2)]) + (2 * (period + 1)) > \
min ([necells [n] - necells [n+1] for n in range (0, len (necells) - 1, 2)])):
return (False)
wssmove = period/2
if eastcells != []:
for n in range (0, len(eastcells) - 1, 2):
eastcells[n] += wssmove
if southcells != []:
for n in range (1, len(southcells), 2):
southcells[n] += wssmove
if westcells != []:
for n in range (0, len(westcells) - 1, 2):
westcells[n] -= wssmove
if northcells != []:
for n in range (1, len(northcells), 2):
northcells[n] -= wssmove
glimove = period/4
if secells != []:
for n in range (0, len (secells) - 1, 2):
secells[n] += glimove
secells[n+1] += glimove
if swcells != []:
for n in range (0, len (swcells) - 1, 2):
swcells[n] -= glimove
swcells[n+1] += glimove
if nwcells != []:
for n in range (0, len (nwcells) - 1, 2):
nwcells[n] -= glimove
nwcells[n+1] -= glimove
if necells != []:
for n in range (0, len (necells) - 1, 2):
necells[n] += glimove
necells[n+1] -= glimove
g.run (period)
boundrect[0] = boundrect [0] - period/2
boundrect[1] = boundrect [1] - period/2
boundrect[2] = boundrect [2] + period
boundrect[3] = boundrect [3] + period
newclist = g.getcells (boundrect)
checkclist = northcells + nwcells + necells + westcells + clist + eastcells + swcells + secells + southcells
return (clistssame (newclist, checkclist))
def main(step=1, start=0):
global bound, expand, duration
# get selection and set to boundary
bound = g.getselrect()
if duration == None:
duration = int(g.getgen())
if isReset:
g.reset()
if len(bound) == 0:
g.note("No selection.")
g.exit()
# get current Golly states
bound[0] -= expand
bound[1] -= expand
bound[2] += expand * 2
bound[3] += expand * 2
left = bound[0]
top = bound[1]
width = bound[2]
height = bound[3]
palette = getPalette()
cells = g.getcells(bound)
isMultiStates = len(cells) % 2 == 1
cellW = 3 if isMultiStates else 2
# create image and destination directory
dstDir = "%s/%s" % (exportDir, name)
if not os.path.exists(dstDir):
os.makedirs(dstDir)
# else:
# g.note( "destination folder already exists" )
# g.exit()
# log( cells )
for i in xrange(duration):
g.show("Processing... %d / %d" % (i + 1, duration))
g.run(1)
g.update()
cells = g.getcells(bound)
# create image
img = Image.new("RGB", (width, height))
cellLen = int(floor(len(cells) / cellW) * cellW)
for i in xrange(0, cellLen, cellW):
x = cells[i]
y = cells[i + 1]
state = cells[i + 2] if isMultiStates else 1
img.putpixel((x - left, y - top), palette[state])
# save
gen = int(g.getgen())
img.save("%s/%s_%08d.png" % (dstDir, name, gen))
def runn(n,t):
while n>0:
g.run(1)
g.update()
sleep(t)
n=n-1
def FindAllHs(cells, minx):
g.new("")
g.putcells(cells)
rect = g.getrect()
min = 10000
max = -10000
for i in xrange(1, len(cells), 2):
cx = cells[i - 1]
cy = cells[i]
dx = 40 - cx
cy += dx
if cy < min:
min = cy
if cy > max:
max = cy
answer = [[],[]]
if (min - 9) % 2 != 0:
min += 1
for i in xrange(min - 9 - 40, max + 6 - 40, 2):
g.new("")
g.putcells(cells)
g.putcells(gld, 40, 40 + i)
g.setstep(3)
g.step()
g.step()
if int(g.getpop()) > 60:
continue
if int(g.getpop()) == 0:
continue
if g.getrect()[0] < -120:
continue
edgeType = HasEdgeShooter(minx)
if edgeType != False:
answer[0].append([i, 0, 0, [edgeType]])
rect = g.getrect()
if rect[2] > 12 or rect[3] > 12:
continue
s = str(g.getcells(g.getrect()))
g.run(2)
if s == str(g.getcells(g.getrect())):
key = str(rect) + ":" + str(g.getpop())
if not (key in existingKeys):
existingDic[key] = []
existingKeys.append(key)
if s in existingDic[key]:
continue
else:
existingDic[key].append(s)
answer[1].append(i)
return answer
def main( step = 1, start = 0 ):
global bound, expand
g.reset()
g.run(otcaDur)
# get current Golly states
cellWidth = 2048
bound[ 0 ] = bound[0] * cellWidth
bound[ 1 ] = bound[1] * cellWidth
bound[ 2 ] = bound[2] * cellWidth
bound[ 3 ] = bound[3] * cellWidth
left = bound[ 0 ]
top = bound[ 1 ]
width = bound[ 2 ]
height = bound[ 3 ]
palette = getPalette()
cells = g.getcells( [0, 0, 1, 1] )
isMultiStates = len(cells) % 2 == 1
cellW = 2
# create image and destination directory
dstDir = "%s/%s" % (exportDir, name)
if not os.path.exists( dstDir ):
os.makedirs( dstDir )
# else:
# g.note( "destination folder already exists" )
# g.exit()
imgWidth = int( width / ratio )
imgHeight = int ( height / ratio )
boundWidth = ratio / subdiv
pb = [0, 0, boundWidth, boundWidth] # pixel bound
i = x = y = bx = by = 0
frameCount = 0
step = int(otcaDur / duration)
for i in xrange(0, duration):
g.show("Processing... %d / %d" % (i+1, duration))
g.run(step)
g.update()
img = Image.new("RGB", (imgWidth, imgHeight))
for y in xrange(imgHeight):
for x in xrange(imgWidth):
for by in xrange(0, subdiv, skipBound):
for bx in xrange(0, subdiv, skipBound):
pb[0] = left + x * ratio + bx * boundWidth
pb[1] = top + y * ratio + by * boundWidth
cells = g.getcells(pb)
if len( cells ) > 0:
img.putpixel((x, y), (255, 255, 255))
break
else:
continue
break
# save
# img.save( "%s/%s_%02dx_%s_%08d.png" % (dstDir, name, ratio, mode, i) )
# img.save( "%s/%s_%02dx_%08d.png" % (dstDir, name, ratio, i) )
img.save("%s/%s_%04d.png" % (dstDir, name, i))
g.show("Done.")
def score_pair(g, seed1, seed2, width_factor, height_factor, \
time_factor, num_trials):
"""
Put seed1 and seed2 into the Immigration Game g and see which
one wins and which one loses. Note that this function does
not update the histories of the seeds.
"""
#
# Make copies of the original two seeds, so that the following
# manipulations do not change the originals.
#
s1 = copy.deepcopy(seed1)
s2 = copy.deepcopy(seed2)
#
# Initialize scores
#
score1 = 0.0
score2 = 0.0
#
# Run several trials with different rotations and locations.
#
for trial in range(num_trials):
#
# Randomly rotate and flip s1 and s2
#
s1 = s1.random_rotate()
s2 = s2.random_rotate()
#
# Switch cells in the second seed (s2) from state 1 (red) to state 2 (blue)
#
s2.red2blue()
#
# Rule file is "Immigration.rule"
# Set toroidal universe of height yspan and width xspan
# Base the s1ze of the universe on the s1zes of the seeds
#
# g = the Golly universe
#
[g_width, g_height, g_time] = dimensions(s1, s2, \
width_factor, height_factor, time_factor)
#
# set algorithm -- "HashLife" or "QuickLife"
#
g.setalgo("QuickLife") # use "HashLife" or "QuickLife"
g.autoupdate(False) # do not update the view unless requested
g.new("Immigration") # initialize cells to state 0
g.setrule("Immigration:T" + str(g_width) + "," +
str(g_height)) # make a toroid
#
# Find the min and max of the Golly toroid coordinates
#
[g_xmin, g_xmax, g_ymin, g_ymax] = get_minmax(g)
#
# Set magnification for Golly viewer
#
g.setmag(set_mag(g))
#
# Randomly place seed s1 somewhere in the left s1de of the toroid
#
s1.insert(g, g_xmin, -1, g_ymin, g_ymax)
#
# Randomly place seed s2 somewhere in the right s1de of the toroid
#
s2.insert(g, +1, g_xmax, g_ymin, g_ymax)
#
# Run for a fixed number of generations.
# Base the number of generations on the sizes of the seeds.
# Note that these are generations ins1de one Game of Life, not
# generations in an evolutionary sense. Generations in the
# Game of Life correspond to growth and decay of a phenotype,
# whereas generations in evolution correspond to the reproduction
# of a genotype.
#
g.run(g_time) # run the Game of Life for g_time time steps
g.update() # need to update Golly to get counts
#
# Count the populations of the two colours. State 1 = red = seed1.
# State 2 = blue = seed2.
#
[count1, count2] = count_pops(g)
#
if (count1 > count2):
score1 = score1 + 1.0
elif (count2 > count1):
score2 = score2 + 1.0
else:
score1 = score1 + 0.5
score2 = score2 + 0.5
#
#
# Normalize the scores
#
score1 = score1 / num_trials
score2 = score2 / num_trials
#
return [score1, score2]
# to change behavior at center, comment out one of the lines below
all += eater(6018,5924,rccw) + eater(6037,5943,rccw) # true p1100 gun
# all += block(6018,6787) # synch center to recreate original p1100x5
center = block(1081,6791) + block(2731,6791) + block(3831,6791) \
+ block(9108,6791) + block(10208,6791) + block(11308,6791) \
+ passthrough(8475,6737) + passthrough[39](3365,6737,flip_x) \
+ passthrough(9575,6737) + passthrough[39](2265,6737,flip_x) \
+ passthrough(10675,6737) + passthrough[39](1715,6737,flip_x)
# add asymmetric Equator to mirror-symmetric North and South
MWSSrecipes += MWSSrecipes(0,13583,flip_y)
all += all(0,13583,flip_y) + center
g.putcells(all)
g.fit()
# Different glider paths are different lengths, so incomplete
# glider recipes must be overwritten for a while to prevent disaster.
for i in range(46):
g.show("Filling glider tracks -- " \
+ str(49500 - i*1100) + " ticks left.")
g.update()
g.putcells(MWSSrecipes)
g.run(1100)
g.show("")
# reset gen count to 0
g.setgen("0")
# g.note(str([basegun+"_special_p" + ("0000"+period)[-5:], (basegun+"_special_p" + ("0000"+period)[-5:] in specialguns)]))
if basegun == "fixed" or basegun + "_special_p" + (
"0000" + period)[-5:] in specialguns:
if basegun == "fixed":
fixedname = "p" + ("0000" + period)[-5:]
folder = fixedfolder
else:
# g.note(basegun) #################
fixedname = basegun + "_special_p" + ("0000" +
period)[-5:] + ",0,0,0"
folder = specialfolder
g.open(os.path.join(folder, fixedname + ".rle"))
bb = g.getrect()
usebb = 1
g.setrule("LifeHistoryToLife")
g.run(1)
g.setrule("Life")
if basegun == "fixed":
g.save(os.path.join(outfolder, fixedname) + "_fixed.rle", "rle")
g.show("[fixed]")
countfixed += 1
else:
g.save(
os.path.join(outfolder, "p" +
("0000" + period)[-5:] + "_custom") + ".rle",
"rle")
countspecial += 1
r = g.getrect()
else:
datalist = basegun.split("_")
if len(datalist) == 2:
def score_pair(g, seed1, seed2, width_factor, height_factor, \
time_factor, num_trials):
"""
Put seed1 and seed2 into the Immigration Game g and see which
one wins and which one loses. Note that this function does
not update the histories of the seeds. For updating histories,
use update_history().
"""
#
# Make copies of the original two seeds, so that the following
# manipulations do not change the originals.
#
s1 = copy.deepcopy(seed1)
s2 = copy.deepcopy(seed2)
#
# Check the number of living cells in the seeds. If the number
# is zero, it is probably a mistake. The number is initially
# set to zero and it should be updated when the seed is filled
# with living cells. We could use s1.count_ones() here, but
# we're trying to be efficient by counting only once and
# storing the count.
#
assert s1.num_living > 0
assert s2.num_living > 0
#
# Initialize scores
#
score1 = 0.0
score2 = 0.0
#
# Run several trials with different rotations and locations.
#
for trial in range(num_trials):
#
# Randomly rotate and flip s1 and s2
#
s1 = s1.random_rotate()
s2 = s2.random_rotate()
#
# Switch cells in the second seed (s2) from state 1 (red) to state 2 (blue)
#
s2.red2blue()
#
# Rule file
#
rule_name = "Immigration"
#
# Set toroidal universe of height yspan and width xspan
# Base the s1ze of the universe on the s1zes of the seeds
#
# g = the Golly universe
#
[g_width, g_height, g_time] = dimensions(s1, s2, \
width_factor, height_factor, time_factor)
#
# set algorithm -- "HashLife" or "QuickLife"
#
g.setalgo("QuickLife") # use "HashLife" or "QuickLife"
g.autoupdate(False) # do not update the view unless requested
g.new(rule_name) # initialize cells to state 0
g.setrule(rule_name + ":T" + str(g_width) + "," +
str(g_height)) # make a toroid
#
# Find the min and max of the Golly toroid coordinates
#
[g_xmin, g_xmax, g_ymin, g_ymax] = get_minmax(g)
#
# Set magnification for Golly viewer
#
g.setmag(set_mag(g))
#
# Randomly place seed s1 somewhere in the left s1de of the toroid
#
s1.insert(g, g_xmin, -1, g_ymin, g_ymax)
#
# Randomly place seed s2 somewhere in the right s1de of the toroid
#
s2.insert(g, +1, g_xmax, g_ymin, g_ymax)
#
# Run for a fixed number of generations.
# Base the number of generations on the sizes of the seeds.
# Note that these are generations ins1de one Game of Life, not
# generations in an evolutionary sense. Generations in the
# Game of Life correspond to growth and decay of a phenotype,
# whereas generations in evolution correspond to the reproduction
# of a genotype.
#
g.run(g_time) # run the Game of Life for g_time time steps
g.update() # need to update Golly to get counts
#
# Count the populations of the two colours. State 1 = red = seed1.
# State 2 = blue = seed2.
#
[count1, count2] = count_pops(g)
#
# We need to make an adjustment to these counts. We don't want to
# use the total count of living cells; instead we want to use
# the increase in the number of living cells over the course of
# the contest between the two organisms. The idea here is that
# we want to reward seeds according to their growth during the
# contest, not according to their initial states. This should
# avoid an evolutionary bias towards larger seeds simply due
# to size rather than due to functional properties. It should
# also encourage efficient use of living cells, as opposed to
# simply ignoring useless living cells.
#
# s1.num_living = initial number of living cells in s1
# s2.num_living = initial number of living cells in s2
#
if (s1.num_living < count1):
count1 = count1 - s1.num_living
else:
count1 = 0
#
if (s2.num_living < count2):
count2 = count2 - s2.num_living
else:
count2 = 0
#
# Now we are ready to determine the winner.
#
if (count1 > count2):
score1 = score1 + 1.0
elif (count2 > count1):
score2 = score2 + 1.0
else:
score1 = score1 + 0.5
score2 = score2 + 0.5
#
#
# Normalize the scores
#
score1 = score1 / num_trials
score2 = score2 / num_trials
#
return [score1, score2]
g.show("Starting....")
g.update()
g.setstep(6)
start_time = time.time()
open(RESULTS_FN,"a").write("BOOTING..\n")
PATTERN_FN = os.path.join(BASE_RESULTS_PATH, "pattern.dat")
results = add_data(PATTERN_FN)
open(RESULTS_FN,"a").write(results + "\n")
boot_completed = False
for x in range(0, 40):
g.run(1000000)
end_time = time.time() - start_time
val_last_ins = g.getcell(-1575, 2049)
val_cutoff = g.getcell(-1618, 1618)
g.show("Took {} secs state = {}\n".format(end_time, val_last_ins))
g.update()
if val_cutoff == 6:
open(RESULTS_FN, "a+").write("System booted in {}\n".format(end_time, val_last_ins))
boot_completed = True
break
elif val_last_ins == 7:
open(RESULTS_FN, "a+").write("#{} Bootup signal not sent \n".format(x+1, end_time))
break
def Main(self):
g.show("left click on a pattern to change, 'h' for help")
gollyMode = False
while True:
event = g.getevent()
if ("key" in event and "return" in event) or (gollyMode and " a " in event):
gollyMode = not gollyMode
if gollyMode:
g.show("In golly mode")
g.update()
else:
g.show("left click on a pattern, right click to finish")
g.setrule("B3/S23")
g.setalgo("HashLife")
g.reset()
g.update()
continue
if gollyMode:
if " delete " in event:
g.clear(0)
if "click" in event and "ctrl" in event and g.getxy() != "":
x, y = g.getxy().split()
cell = g.getcell(int(x), int(y))
if cell >= 0 and cell <= 1:
g.setcell(int(x), int(y), 1 - cell)
g.update()
if " c " in event and "ctrl" in event and g.getselrect() != []:
g.copy()
if " v " in event and "ctrl" in event and g.getxy() != "":
x, y = g.getxy().split()
g.paste(int(x), int(y), "or")
if " space " in event:
if "ctrl" in event:
g.run(10)
else:
g.run(1)
g.doevent(event)
continue
if "click" in event:
if "left" in event:
if self.ExistinCircuitHandler() == None:
if self.SignalClickHandler(event) == None:
g.show("left click on a pattern, h for help")
elif "key" in event:
if " space " in event:
for i in xrange(0, 30):
g.run(60)
g.update()
g.reset()
g.update()
if " a " in event:
if g.getrule() == "Perrier":
g.setrule("B3/S23")
g.setalgo("HashLife")
g.update()
else:
g.setrule("Perrier")
for key in self.smarCells:
x, y = key.split(":")
g.setcell(int(x), int(y), self.smarCells[key] + 2)
gollyMode = True
g.show("In golly mode")
g.update()
if " s " in event:
fname = os.path.join(g.getdir("data"), "MetadataManager.json")
#self.Save(fname)
if " h " in event:
noteMessage = "Viewing and Selecting\n\n"
noteMessage += "'left click' to chose gun or glider\n"
noteMessage += "'a' to see in colors, a to go back \n"
noteMessage += "'space' see ahead 1800 generations \n"
noteMessage += "'enter' gollyMode, stays in the script \n"
noteMessage += "\n Editing Gun \n\n"
noteMessage += "'left click' to place\n"
noteMessage += "'right click' to switch gun/orientation \n"
noteMessage += "'delete' to delete the gun \n"
noteMessage += "'left-right arrow' - one step adjustment\n"
noteMessage += "\n In Golly Mode \n\n"
noteMessage += "'delete' to clear selection\n"
noteMessage += "'ctrl' + 'click' to draw \n"
noteMessage += "'ctrl' + 'c' to copy selection \n"
noteMessage += "'ctrl' + 'v' to paste in mouse location \n"
noteMessage += "'space' + to run 1 generation \n"
noteMessage += "'ctrl' +'space' to run 10 generations \n"
g.note(noteMessage)