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 main():
g.setstep(0)
g.setalgo('QuickLife')
velocity = g.getstring('Please specify velocity', '(2,1)c/6')
a, b, p = parse_velocity(velocity)
params = partial_derivatives(a, b, p)
dvdx = params['dvdx']
dudx = params['dudx']
dvdy = params['dvdy']
dudy = params['dudy']
dvdt = params['dvdt']
dudt = params['dudt']
cells = []
for t in xrange(p):
things = g.getcells(g.getrect())
things = zip(things[::2], things[1::2])
cells += [(dudx * x + dudy * y + dudt * t,
dvdx * x + dvdy * y + dvdt * t) for (x, y) in things]
g.step()
g.setlayer(g.addlayer())
g.putcells([x for y in cells for x in y])
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 testkey():
if results and g.getevent().startswith("key x"):
g.setlayer(results_layer)
g.select(g.getrect())
g.copy()
g.select([])
g.setlayer(work_layer)
def test(pat, gen, loc, x, y):
global results
if not all(g.getcell(x + loc, y) for x, y in on_cells):
return
if any(g.getcell(x + loc, y) for x, y in off_cells):
return
begin = start_cells + g.evolve(g.transform(pat, -x, -y), gen)
if finalpop >= 0 and len(g.evolve(begin, 100)) != 2 * finalpop:
return
results += 1
g.setlayer(results_layer)
g.putcells(g.evolve(pat, gen % 8), 50 * results - x, -y)
g.putcells(begin, 50 * results, 50)
g.putcells(g.evolve(begin, delay), 50 * results, 100)
g.setlayer(work_layer)
def main():
g.setstep(0)
g.setalgo('QuickLife')
velocity = g.getstring('Please specify velocity', '(2,1)c/6')
a, b, p = parse_velocity(velocity)
params = partial_derivatives(a, b, p)
dvdy = params['dvdy']
dudy = params['dudy']
dvdt = params['dvdt']
cells = g.getcells(g.getrect())
cells = zip(cells[::2], cells[1::2])
gcells = []
for (u, v) in cells:
for t in xrange(p):
xp = dvdy * u - dudy * v - a * t
yq = v - t * dvdt
if (xp % p != 0):
continue
if (yq % dvdy != 0):
continue
x = xp // p
y = yq // dvdy
gcells.append((t, x, y))
spacing = max([x for (_, x, _) in gcells]) - min([x for (_, x, _) in gcells])
spacing += 10
gcells = [(x + spacing * t, y) for (t, x, y) in gcells]
g.setlayer(g.addlayer())
g.putcells([x for y in gcells for x in y])
g.fit()
# g.note(str(tile[0]))
if not tile == []:
# add a layer
layername = "Topology_Search"
poplayer = -1
for i in xrange(g.numlayers()):
if g.getname(i) == layername:
poplayer = i
break
if poplayer == -1 and g.numlayers() == g.maxlayers():
g.exit("You need to delete a layer.")
if poplayer == -1:
poplayer = g.addlayer()
else:
g.setlayer(poplayer)
tilelayer = g.getlayer()
g.new(layername)
if not g.empty():
g.select(g.getrect())
g.clear(0)
rule = g.getrule().split(':')[0]
rule0 = rule
rule = rule.replace('/', '-')
out = 0
next = 0
posi = 0
input = g.getstring('subset?', '')
poslist = input.split(',')
def prepare_burp():
highway_robber=pattern("""
143bo$143b3o$146bo$145b2o2$126bo42bo$126b3o38b3o$129bo36bo$128b2o11b2o
23b2o7b2o$141b2o32bo$108bo64bobo$108b3o6b2o54b2o$111bo5b2o$110b2o3$
111b2o$111b2o3b2o$116b2o35b2o23bo$154bo22bobo$151b3o8b2o14bo$151bo11bo
$98bo7bo53b3o$86bo11b3o5b3o51bo$84b3o14bo7bo32b2o$68bo14bo16b2o6b2o32b
obo30b2o$68b3o12b2o59bo30bobo$71bo72b2o31bo$70b2o105b2o$159bob2o$159b
2obo$71b2o$71b2o17b2o76b2o$90b2o76b2o5$104b2o$87b2o14bobo$87bo15bo74b
2o$88b3o11b2o74bo$90bo85bobo$84b2o90b2o$84bo$85b3o$87bo2$158b2o$159bo$
68b2o89bobo$67bobo90b2o$67bo25b2o$66b2o25bo$74b2o15bobo$74b2o15b2o98b
2o6bo$187bobo2bo4b3o$185b3ob2o5bo$184bo11b2o$185b3ob2o$177b2o8bob2o$
177b2o2$161b2o32b2o3b2o$161b2o32b2o3b2o$153b2o$88b2o2b2ob2o57bo18b2ob
2o$73b2o13bobo2bobo58bobo16b2obo$72bobo16b2o3bo58b2o21bo26bo$72bo19bob
2o76bob5o25bobo$71b2o16bo2bobo77b2o31bo$88bobobobo80b2o$89b2ob2o82bo$
173b3o$173bo33bo$171bobo31b3o$171b2o31bo$187b2o14bobo$187b2o15bo$83b2o
$83b2o$202b2o$202b2o2$175b2o$175b2o$72b2o123b2o$73bo19b2o102bo$73bobo
17bo76b2o26b3o$74b2o15bobo60b2o14b2o28bo$86bo4b2o62bo$85bobo64b3o$54bo
30bobo64bo$54b3o17b2o10bo$57bo15bobo$56b2o15bo116b2o$72b2o116bo$36b2o
49b2o102b3o$29b2o5b2o49bo105bo$29b2o57b3o6bo$90bo4b3o$94bo$31b2o17b2o
29b2o11b2o14b2o$31b2o17bo30b2o27b2o$25b2o21bobo$25b2o21b2o$116b2o$116b
2o36b2o$112b2o41bo$112b2o41bobo$156b2o$56b2o122b2o$56b2o11b2o109b2o$
69bo47b2o$70b3o44b2o$72bo2$22bo$22b3o55b2o96b2o$25bo53bobo96bo$24b2o
47b2o4bo99b3o$73b2o3b2o101bo$179b2o$76b4o99bo$75bo3bo97bobo$75b2o100b
2o$53b2o33bo22b2o$19b2o32b2o33b3o20bo$20bo70bo20b3o$20bobo67b2o22bo44b
o$21b2o136b3o$162bo$115bo45b2o$35b2o28b2o46b3o$35bobo27b2o45bo$37bo41b
2o6b2o23b2o$37b2o40b2o6bo2b2o$83b2o3b2obo$83b2o4bo89b2o$17bob2o68bo89b
o$17b2obo67b2obob2o18b2o62bobo$87bo2b2ob2o18bobo61b2o$26b2o60bo26bo$
26b2o33b2o26b3ob2o20b2o$60bo2bo27bobo66b2o$61bobo29bo66b2o15b2o$62bo
29b2ob2o80bobo$94bobo82bo$94bo84b2o$93b2o3$160b2o$160bo$158bobo$158b2o
2$16bo$16b3o$19bo33bo121b2obo$18b2o33b3o53b2o64bob2o$56bo52b2o$11bo43b
obo110b2o$11b3o42bo111b2o$14bo123bo$13b2o121b3o$57b2o19bo56bo$57b2o17b
3o19b2o20bo14b2o$75bo23bo19bobo$75b2o22bobo17bobo$100b2o15bobobobo34b
2o$10b2o19b2o79bo4b2o3b2o10bo24bo$10b2o19b2o47b2o29bobo19bobo23bobo$
80b2o29bobo19bobo24b2o$4bo95b2o10bo21bo4b2o$4b3o25b2o65bobo20b2o15bobo
$2o5bo24bo57b2o7bo21bobo17bo$bo4b2o25b3o54bo7b2o21bo19b2o36bo$bobo31bo
52bobo22b2o5b2o55b3o$2b2o29b2o53b2o23bo62bo$33bo17b2o61b3o28b2o29b2o$
31bobo4bo11bobo63bo28bo$31b2o3b3o11bo92bobo$35bo13b2o92b2o$35b2o94b2o$
61b2o68b2o$61b2o$b2o178b2o$b2o178bo$36b2o141bobo$36b2o141b2o3$27b2o37b
2o97b2o$27b2o36bobo51b2o43bobo$65bo54bo43bo$64b2o54bobo40b2o$121b2o2$
181b2obo$181bob2o2$40bo133b2o$38b3o133b2o$37bo$37b2o$138b2o$138b2o$42b
2o$42b2o78b2o$122b2o$114b2o$52b2o61bo18b2ob2o$52bo62bobo16b2obo$50bobo
63b2o21bo$50b2o81bob5o$13b2o118b2o$12bobo121b2o$12bo124bo$11b2o99bobo
19b3o$112b2obo18bo$23b2o90b3o$23b2o87b2o4bo$112bob5o$114bo$113bo3b2o$
108bo3bo3bobo$106b3o3b2o3bo$105bo$28b2o75b2o29b2o39b2o$27bobo106b2o38b
o2bo$27bo149b2o$26b2o2$131b2o$131b2o$135b2o$14b2o119b2o$14b2o35bo$49b
3o$48bo80b2o$48b2o63b2o14b2o$79bo33bo$68b2o7b3o34b3o$69bo6bo39bo$69bob
o4b2o$70b2o$109b2o$109bobo$111bo$111b2o7$103b2o$103bo$104b3o$106bo$13b
o19b2o$12bobo10b2o6bo5b2o41b2o$11bo2bo10bo8b3obobo41bo$12b2o9bobo10bob
o7b2o28b2obo3b3o$23b2o12b2o7b2o28b2ob4o2bo$82bo$64b2o6b2o2b2ob2o$63bob
o6bo4bobo$63bo9b4o2bo$62b2o7bobo2bobo$71b2o4bo!""")
connecting_neck=pattern("""
24bo$22b3o$21bo$21b2o$6b2o$7bo$7bobo$8b2o10bo$19bobo$19bobo$20bo4b2o$
8b2o15bobo$7bobo17bo$7bo19b2o$6b2o6$17b2o$17b2o7$23b2ob2o$22bobobobo$
5b2o16bo2bobo$6bo19bob2o$6bobo16b2o3bo$7b2o13bobo2bobo$22b2o2b2ob2o11$
8b2o15b2o$8b2o15bobo$2o25bo$bo25b2o$bobo$2b2o4$21bo107bo$19b3o106bobo$
18bo109bobo$18b2o106b3ob2o$24bo100bo$22b3o12bo84bo2b4ob2o$21bo15b3o82b
3o3bob2o$21b2o17bo84bo$39b2o83b2o26b2o$152bo$150bobo$150b2o2$24b2o$5b
2o17b2o76bo$5b2o95b3o6b2o$105bo5b2o41b2obo$104b2o48bob2o$4b2o$5bo141b
2o$2b3o12b2o86b2o40b2o$2bo14bo16b2o6b2o61b2o3b2o$18b3o14bo7bo66b2o$20b
o11b3o5b3o$32bo7bo$78bo51b2o3b2o$76b3o13bo38bo3bo$75bo16b3o33b3o5b3o$
50b2o23b2o18bo32bo9bo$45b2o3b2o42b2o42bobo$45b2o92b2o3$44b2o76b2o$45bo
5b2o69b2o$42b3o6b2o104b2o$42bo41b2o71bo$84b2o69bobo$61b2o92b2o$60bobo
62bo$60bo62b3o$59b2o10b2o49bo$72bo48bobo$69b3o9b2o39bo43b2o$69bo11bo
19b2o56b2o6bo$82bo17bobo56bo6bo$81b2o17bo19b2o35bobo6b2o$99b2o19b2o35b
2o$116b2o$116bo$117b3o24b2o$119bo23bobo$143bo25b2o$142b2o25b2o4$146b2o
$145bobo$145bo4b2o$144b2o5bo$148b3o5bo$148bo6bobo$156bo!""")
transmitter2c3=pattern("""
180b2o$180b2o$219bo$219b3o$178b2o42bo$116bo61b2o41b2o$115bobo47b2o99b
2o14bo$116bo49bo74b2o24bo14b3o$166bobo73bo13b2o6b3o18bo$167b2o73bobo
11b2o6bo19b2o12bo$110b2o51b2o78b2o53b3o$110b2o23b2o26b2o136bo$102b2o
31bo164b2o$103bo29bobo$103bobo27b2o$104b2o4b2o$110b2o162b2o$274b2o$
144b2o30b2o$102b2o40bo31b2o$102bo39bobo$104bob2o34b2o43b2o144b2o$103b
2ob2o78bo2bo143b2o$124b2o60bobo23b2o57b2o$103b2ob2o16b2o61bo20bo3b2o
57bo20b2o$104bobo100bobo26b2o14b2o3b2o13bo20bo$104bobo99bobo21b2o5bo
15bo3bo13b2o17b3o61b2o$105bo100bo23bobob3o13b3o5b3o29bo63b2o5b2o$205b
2o16b2o7bobo15bo9bo100b2o$223b2o7b2o152b2o6bo$169b2o125b2o84bobo2bo4b
3o$169b2o124bobo61b2o19b3ob2o5bo$295bo63b2o18bo11b2o$294b2o69b2o13b3ob
2o$365b2o15bob2o$131b2o151bo$131b2o149b3o12b2o$281bo16bo91b2o3b2o$271b
2o8b2o12b3o92b2o3b2o$272bo22bo$272bobo27b2o30b2o$273b2o28bo17b2o11b2o$
39bo82bo136bo27b2o11b3o19bo77bo$38bobo79b3o136b3o25b2o11bo18b3o77bobo$
39bo79bo142bo56bo80bo$108bo10b2o140b2o$37b5o65bobo228b2o$37bo4bo64bobo
177b2o50bo28b2o$40bo2bo61b3ob2o20bo155b2o47b3o29bo$12bo27b2obo60bo24b
3o204bo29bobo$12b3o10b2o10bo5bob2obo49bo6b3ob2o17bo104bo132b2o$15bo9b
2o9bobo4bobob2o49b3o6bob2o17b2o103b3o146b2o$4b2o8b2o20bo2bo2b2obo30b2o
23bo134bo145b2o$5bo31b2o6bo31bo6b2o14b2o133b2o11b2o13b2o$5bobo37b3o29b
obo4b2o39b2o121b2o13b2o$6b2o40bo23b2o4b2o44bo2bo87bo73b2o$47b2o23bobo
50b2o88b3o5b2o64bo$70bobob3o141bo4b2o62bobo$66b2o2b2o5bo139b2o68b2o81b
2o$4bob2o58b2o8b2o292b2o$2b3ob2o384b2o$bo216b2o172bo$2b3ob2o80b2o128b
2o3b2o123b2o15b2o26b3o$4bobo30b2o49b2o23b2o108b2o122bobo15b2o28bo$4bob
o30b2o74bo233bo$5bo108b3o229b2o$116bo77b2o7b2o$100b2o24b2o66b2o7bobo$
28b2o66bo3b2o24bo30b2o42bobob3o$28b2o65bobo29b3o2b2o24bo42b2o5bo40b2o
18b2obo112b2o$34b2o58bobo32bo3bo13b2o6b3o49b2o40bobo17bob2o112bo$34bo
19b2o38bo38bobo11b2o6bo95bo134b3o$30bo5bo16bobo37b2o24b2o13b2o115b2o
135bo$29bobo3b2o16bo65b2o164b2obo$30bo21b2o231bob2o$31b3o$33bo79b2o
163b2o$113b2o163b2o$117b2o46b2o$66b2o49b2o46b2o$66b2o$349b2o$350bo$71b
2o39b2o98b2o136bobo$70bobo39b2o99bo54b2o81b2o$70bo91b2o46b3o56bo105b2o
$69b2o91bo47bo58bobo103b2o$143b2o3b2o13bo106b2o$82b2o60bo3bo13b2o$82b
2o57b3o5b3o$141bo9bo40b2o$193bo$27bo162b3o180b2o$26bobo161bo182bo$26bo
2bo262b2o80b3o$27b2o263bo83bo$118b2o22bo147bobo81b2o$119bo20b3o99bo18b
o28b2ob2o79bo$116b3o20bo102b3o7b2o5b3o31bobo76bobo$116bo22b2o104bo6b2o
4bo34bobo76b2o$5b2o237b2o12b2o10b2o20b2ob2o$5b2o264bo24bo$9b2o104bo
155bobo18b2obo$9b2o104b3o139b2o13b2o18b2obobo56bo$23b2o93bo133b2o3b2o
37b2o56b3o$23b2o92b2o23b2o108b2o103bo$139b2o2bo212b2o28b2o$139bob2o71b
2o56b2o112bo$141bo71bobo55bobo110bobo$141bo71bo49bo7bo108b2o2b2o$116b
2o18b2obob2o69b2o47b3o5b3o108b2o$35b2o78bobo18b2ob2o2bo116bo7bo$35b2o
78bo26bo117b2o6b2o$13b2o99b2o20b2ob3o$14bo122bobo239b2o4b2o$11b3o123bo
241b2o4b2o$11bo90b2o30b2ob2o$102bo31bobo$100bobo5b2o26bo$99bobo6b2o26b
2o140b2o$95b2o3bo177b2o72b2o35bo$95b2o254bobo33b3o$20b2o69b2o194b2o62b
o34bo$21bo70bo194bo62b2o34b2o$18b3o71bobo193b3o63b2o$18bo74b2o195bo63b
2o3bo$233bo47b2o75bobo6b2o$233b3o46bo76bobo5b2o$236bo44bo79bo$235bobo
43b2o78b2o$120b2o4b2o108bo30bo$120b2o4b2o139b3o$270bo$237b2o30b2o8b2o
74bo$237b2o40bo61bo13b3o35b2o$121b2o154bobo59b3o16bo34b2o$121b2o2b2o
150b2o59bo18b2o$125bobo93bo41b2o73b2o$127bo92bobo40b2o26b2o$97b2o28b2o
91bobo68bo23bo72b2o$98bo119b3ob2o65bobo23b3o70b2o$95b3o119bo71b2o27bo
73b2o$95bo118bo2b4ob2o39b2o52b2o73b2o$214b3o3bob2o39b2o$217bo130b2o$
175bo40b2o26b2o102b2o36b2o$113b2o60b3o66bo126b2o13b2o$113bobo46b2o3b2o
9bo14b2o47bobo126bobo$77bo37bo2bo2bo40b2o3b2o8b2o15bo47b2o43b2o84bo$
77b3o35b7o71bo93b2o72b2o10b2o$80bo112b2o113b2o51bo$38b2o39b2o36b5o33b
2o151b2o41b2o9b3o$38b2o77bo4bo2b2o29bo174b2o19bo11bo$120bo2bo2bo29bobo
87b2obo81bobo17bo$120b2obobo31b2o87bob2o83bo17b2o$117bo5bob2o194b2o10b
2o$105b2o9bobo4bo72b2o41b2o80bo$105b2o9bo2bo2b2o72b2o41b2o70b2o9b3o$
117b2o193bo11bo$96b2obo211bo$96bob2o211b2o$160b2o$61b2o98bo60b2o3b2o$
61b2o8b2o85b3o28b2o32bo3bo$72bo85bo31bo15b2o12b3o5b3o29b2o$69b3o117bo
17bo12bo9bo28bobo$47b2o20bo119b2o13b3o23bobo26bo$48bo155bo26b2o25b2o
14b2o$10b2o33b3o70b2o153bo2bo$10b2o33bo29b2o41b2o154b2o$6bo50b2o15bobo
$6b3o48bo16bo98b2o$9bo48b3o12b2o98b2o54b2o$8b2o11bo38bo103b2o64bo$20bo
bo7b2o131bobo51b2o11bobo$20bobo7b2o44b2o85bo54bo12b2o$21bo55bo84b2o54b
obo$74b3o142b2o2b2o$74bo148b2o$81b2o34b2o$82bo34bobo$18b2o59b3o37bo$
18b2o59bo39b2o97b2o4b2o$4b2o212b2o4b2o$4b2o$2o$2o162bo$107bob2o3b2o48b
3o$105b3ob2o3bo52bo$104bo10b3o48b2o$105b3ob2o6bo101b2o$107b2o2bo106bob
o$110b2o106bo$217b2o2$164b2o$164b2o$188b2o$188bobo$190bo$24b2o164b2o$
23bobo$24bo4$132bo4b2o$131bobo2bobo7b2o$130bo2b4o9bo$26b2obo100bobo4bo
6bobo$26bob2o99b2ob2o2b2o6b2o$127bo$19b2o103bo2b4ob2o$19b2o103b3o3bob
2o$127bo40b2o$126b2o39bobo$52b2o103bo9bo$52b2o49b2o52b3o5b3o54b2o$104b
o55bo3bo57b2o$91bo11bo55b2o3b2o$9b2o39b2o39b3o9b2o$10bo39b2o42bo$10bob
o24b2o42b2o10b2o$11b2o25bo43bo150b2o$38bobo41bobo91b2o55bo$39b2o42b2o
91b2o53bobo$35b2o69b2o123b2o$35b2o69b2o75bob2o$29b2o152b2obo$29bo188b
2o$27bobo187bobo$27b2o109b2o77bo$132b2o4bobo75b2o$133bo6bo38b2o$48b2o
66b2o12b3o7b2o37bobo$48b2o47b2o18bo12bo50bo$97bo16b3o36b2o26b2o$59b2o
37b3o13bo39bo$58bo2bo38bo50b3o3bob2o59b2o$58bobo23b2o65bo2b4ob2o58bobo
$59bo20bo3b2o68bo64bo$79bobo73b3ob2o57b2o$7b2o69bobo76b2o2bo$7b2o17b2o
50bo81b2o84bo$26b2o49b2o165b3o$243bo$41b2o200b2o$41b2o2$219bo$219b3o$
222bo$221b2o23b2o$243b2o2bo$243bob2o$245bo$245bo$220b2o18b2obob2o$219b
obo18b2ob2o2bo$219bo26bo$218b2o20b2ob3o$241bobo$51bo189bo$12b2o35b3o
186b2ob2o$12b2o34bo189bobo$48b2o190bo$81bo158b2o$81b3o$17b2o65bo$17b2o
64b2o$13b2o$13b2o2$57b2o159b2o$19b2o36b2o158bobo$19b2o13b2o181bo$33bob
o180b2o$33bo181bo$32b2o10b2o74bo94b3o$45bo72b3o97bo$42b3o9b2o61bo99b2o
$42bo11bo20b2o40b2o17bo39bo$55bo20bo59b3o37b3o$54b2o17b3o63bo39bo$73bo
64b2o38b2o12bo$192b3o$159bo35bo19b2o$79b2o78b3o32b2o19b2o$78bobo81bo
76b2o$78bo82b2o11b2o63bobo$77b2o95b2o65bo$241b2o2$80b2o$81bo$78b3o$78b
o$85b2o30b2o$86bo17b2o11b2o$83b3o19bo80b2o$83bo18b3o82bo$102bo81b3o$
184bo2$153b2o$147b2o5bo20b2o13b2o$147bobob3o21bobo11bobo$140b2o7bobo
25bo11bo$140b2o7b2o26b2o9b2o3$191b2o$192bo$189b3o19b2o21b2o$189bo20bob
o21b2o$196b2o12bo17b2o$197bo11b2o17b2o$194b3o$194bo$230b2o$223b2o5b2o$
223b2o5$89b2o$89b2o8$63bo$62bobo$62bobo$61b2ob2o16b2o$82b2o$61b2ob2o$
62bob2o34b2o$60bo39bobo$60b2o40bo$102b2o2$68b2o$62b2o4b2o$61bobo27b2o$
61bo29bobo$60b2o31bo$68b2o23b2o$68b2o$86b2o$82bo3b2o$74bo6bobo$73bobo
4bobo$74bo5bo$79b2o!""")
head2c3=pattern("8b2o$3bo2bo2bo$3b6o2$3b6o$2bo6bo$2bo2b5o$obobo$2o2bo$4bo$3b2o!")
body2c3=pattern("6bo$b6o$o$o2b6o$obo6bo$obo2b5o$b2obo$4bo$4bo$3b2o!")
tail2c3=pattern("5b2o$5b2o2$b6o$o5bo$o2b3o$obo$o2bo$b2o!")
wire2c3=head2c3(625,388) + tail2c3(2143,1905)
for i in range(631,2142,6): # 251 body segments
wire2c3+=body2c3(i,i-236) # first one at (631, 395)
receiver2c3=pattern("""
208bo$207bobo$208bo3$213b2o$188b2o23b2o$189bo31b2o$189bobo29bo$190b2o
27bobo$213b2o4b2o$213b2o2$179b2o$180bo40b2o$180bobo39bo$181b2o34b2obo$
217b2ob2o$199b2o$199b2o16b2ob2o$218bobo$218bobo$219bo8$192b2o$192b2o8$
55b2o$48b2o5b2o$48b2o$85bo$83b3o$50b2o17b2o11bo$50b2o17bo12b2o$44b2o
21bobo20bo$44b2o21b2o19b3o$87bo$87b2o3$90b2o9b2o26b2o7b2o$90bo11bo25bo
bo7b2o$88bobo11bobo21b3obobo$88b2o13b2o20bo5b2o39bo$125b2o45b3o$175bo
14bo$95bo78b2o12b3o$41bo51b3o91bo$41b3o48bo94b2o$44bo47b2o$43b2o$186b
2o$167b2o17b2o$167b2o3$61b2o$61bo$59bobo42b2o$59b2o43b2o11b2o51b2o$
117bo53bo$84b2o32b3o48bo$42b2o40bo35bo48b2o$42b2o15b2o24b3o85b2o$59bob
o25bo12b2o38b2o32bo$61bo38bo39bo30b3o$61b2o38b3o37b3o27bo$103bo39bo3$
42b2o$42bo$40bobo$40b2o4$57b2obo$57bob2o2$50b2o$50b2o122b2o$173bobo$
173bo29b2o$172b2o29bobo$205bo$178b2o25b2o$177bobo4b2o$40b2o135bo7bo$
41bo134b2o4b3o$41bobo138bo$42b2o146b2o$189bobo$189bo$188b2o$61bo$59b3o
$58bo$58b2o$206b2o$182bo23bobo$63b2o117b3o23bo$63b2o120bo22b2o$184b2o
14b2o$200b2o$73b2o$73bo$71bobo$71b2o$34b2o$33bobo$33bo$32b2o2$44b2o$
44b2o$160b2o7b2o30b2o$92b2o66b2o7bobo29bobo$92b2o45bo27bobob3o29bo$
139b3o25b2o5bo28b2o$142bo30b2o$90b2o49b2o$49b2o39b2o$48bobo26b2o43bo$
48bo29bo43b3o$47b2o29bobo44bo$79b2o43b2o11b2o$75b2o60b2o$75b2o4$177b2o
21b2o$66b2o108bobo21b2o$66bo109bo17b2o$64bobo21b2o85b2o17b2o$48b2o14b
2o22b2o$48b2o93b2o$52bo46b2o39b2o2bo2b2o47b2o$48b2o2b3o43bo2bo38b2obo
3bo41b2o5b2o$48b2o5bo42bobo23b2o17bobobo10b2o29b2o$54b2o43bo20bo3b2o
14b2obob2o12bo$119bobo12b2o4bo2bo12b3o$118bobo13b2o6b2o12bo$67b2o49bo$
66bobo48b2o$67bo$81b2o$81b2o4$47b2o$47b2o5$49bo$19b2o28b3o$12b2o5b2o
31bo92bo$12b2o37b2o90b3o11bo$47b2o93bo14b3o$47bo94b2o16bo14bo$14b2o33b
o109b2o12b3o$14b2o32b2o69bo52bo$8b2o109b3o50b2o$8b2o112bo$121b2o$171b
2o$152b2o17b2o$45b2o105b2o$45b2o17b2o$64b2o3$65b2o$65bo89b2o$52b2o12b
3o41bo23b2o20bo$35b2o16bo14bo40bobo22bo19bo$35bo14b3o57bo14b2o8b3o16b
2o$28bo7b3o11bo74bo11bo20b2o$26b3o9bo87b3o30bo$25bo102bo27b3o$25b2o
129bo$17b2o93b2o$17b2o92bobo$111bo$110b2o62b2o$126b2obo44bobo$126bob2o
46bo$176b2o$34b2o83b2o$34bo84b2o$32bobo$32b2o3$166b2o$166b2o2$157b2obo
$157bob2o2$36b2o$36bobo$38bo91b2o44b2o$38b2o90bo44bobo$28b2o98bobo44bo
$28b2o98b2o44b2o$9bob2o$9b2obo2$18b2o135b2o$18b2o136bo$156bobo$157b2o
15b2o$114b2o58b2o$114bo2b2o$115b2obo$116bo40b2o$28b2o86bobo4b2o31bobo$
28bo88b2o5bo31bo$26bobo94bo31b2o$26b2o68b2o25b2o$70bo25bo$58bo11b3o21b
obo$56b3o14bo20b2o$40bo14bo16b2o$40b3o12b2o70b2o44b2o$43bo58b2o24bo44b
o$4b2o36b2o59bo13b2o6b3o46b3o$5bo97bobo11b2o6bo50bo$5bobo96b2o$3b2ob2o
35b2o$2bobo38b2o17b2o$2bobo57b2o$b2ob2o20b2o$bo24bo$2bob2o18bobo108b2o
$obob2o18b2o109b2o$2o$59b2o32b2o$59bo20b2o11b2o$24b2o35bo19bo67b2o21b
2o$24bobo33b2o16b3o67bobo21b2o$26bo29b2o20bo53b2o14bo17b2o$26b3o27bo
75bo14b2o17b2o$29bo27b3o37b2o14b2o3b2o13bo$28b2o29bo38bo15bo3bo13b2o$
95b3o13b3o5b3o46b2o$95bo15bo9bo39b2o5b2o$161b2o4$18b2o$18b2o2$9b2o$10b
o$7b3o45b2o$7bo47b2o$15b2o32b2o$15bo33b2o$16bo$15b2o$51b2o$44b2o5b2o$
44b2o!""")
inserter2c3=pattern("""
51bo$49b3o$23b2o23bo$24bo23b2o$24bobo$25b2o2b2o37bo$29b2o35b3o15bo9bo$
65bo18b3o5b3o$52b2o11b2o20bo3bo$52b2o32b2o3b2o8$23b2o52b2o$22bobo16b2o
34b2o$22bo18bobo45b2o$21b2o20bo44bo2bo$37b2o4b2o44b2o4b2o$37bo2bo54bob
o$39b2o56bo$30b2o65b2o$30b2o20b2o33b2o$53bo34bo$50b3o32b3o$50bo34bo2$
19bo$19b3o$22bo$21b2o2$85b2o$85bo$86b3o$88bo2$40b2o$40bo$38bobo$38b2o
12$20b2o15b2o$19bobo15b2o$19bo$18b2o6$25bo$25b3o$28bo$27b2o28b2o$57bo$
55bobo$51b2o2b2o$51b2o4$50b2o4b2o$50b2o4b2o5$23b2o35bo$22bobo33b3o$22b
o34bo$21b2o34b2o$25b2o$25b2o3bo$29bobo6b2o$30bobo5b2o$32bo$32b2o$24b2o
$25bo$25bobo$26b2o2b2o$30b2o32b2o$64b2o4$59b2o$59b2o$63b2o$63b2o3$24b
2o31b2o$23bobo16b2o13b2o$23bo18bobo$22b2o20bo$38b2o4b2o$38bo2bo$40b2o$
31b2o$31b2o7$21b2o$22bo$22bobo$23b2o$39bo$37b3o$36bo$36b2o3$10b2o$10b
2o7$43b2o$43b2o4$38b2o$38b2o$2o40b2o$2o40b2o3$36b2o$21b2o13b2o$21bobo$
23bo$23b2o!""")
all=highway_robber(86,0) + connecting_neck(195,262) + transmitter2c3(347,219) \
+ wire2c3 + receiver2c3(2103,1763) + inserter2c3(2024,2042)
while g.numlayers()>1: g.dellayer()
all.display("Stable Pseudo-Heisenburp Device")
g.setmag(0)
setposint(120,200)
g.setname("Highway Robber")
g.clone()
g.setname("2c/3 Transmitter")
setposint(500,400)
g.clone()
g.setname("2c/3 Receiver")
setposint(2175,2000)
g.clone()
g.setname("Stable Pseudo-Heisenburp Device")
g.clone()
g.setname("Glider Fleet")
setposint(330,290)
# since the tiles change size depending on how many layers have been created,
# have to create all five layers before checking visibility of components --
# now go back and check that the critical areas are all visible:
g.setlayer(0)
while not g.visrect([100,100,150,175]): g.setmag(g.getmag()-1)
g.setlayer(1)
while not g.visrect([350,225,400,350]): g.setmag(g.getmag()-1)
g.setlayer(2)
while not g.visrect([2100,1750,225,300]): g.setmag(g.getmag()-1)
g.setlayer(3)
g.fit()
g.setlayer(4)
while not g.visrect([0,200,300,400]): g.setmag(g.getmag()-1)
g.update()
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()
import os
import golly as g
#g.select(g.getrect())
oldrule=g.getrule()
i=0
g.autoupdate(0)
while i==0:
g.run(1)
g.save('temp','rle')
g.setrule('S_input')
g.run(1)
cellindex=g.getlayer()
execfile("histogram_2002_r75.py")
histindex=g.getlayer()
g.setlayer(cellindex)
g.open('temp')
g.setlayer(histindex)
g.fit()
g.update()
g.setlayer(cellindex)
i=+1
for i in xrange(0, len(slist), 2):
livecell[slist[i] - selrect[0]][slist[i + 1] - selrect[1]] = 1
# build a patch pattern based on the current rule
# that fixes the appropriate broken eaters in the rules table
r1, r2 = rulestr.split("/")
if r1[:1] == "B":
Bvalues, Svalues = r1.replace("B", ""), r2.replace("S", "")
elif r1[:1] == "S":
Svalues, Bvalues = r1.replace("S", ""), r2.replace("B", "")
else:
Svalues, Bvalues = r1, r2
# create metafied pattern in separate layer
if metalayer >= 0:
g.setlayer(metalayer) # switch to existing layer
else:
metalayer = g.addlayer() # create new layer
# set rule to Life
rule()
Brle = Srle = "b10$b10$b26$b10$b10$b26$b10$b10$b!"
for ch in Bvalues:
ind = 32 - int(ch) * 4 # because B and S values are highest at the top!
Brle = Brle[:ind] + "o" + Brle[ind + 1:]
for ch in Svalues:
ind = 32 - int(ch) * 4
Srle = Srle[:ind] + "o" + Srle[ind + 1:]
RuleBits = pattern(Brle, 148, 1404) + pattern(Srle, 162, 1406)
envindex = 0
startname = "starting pattern"
envname = "envelope"
if currindex > 1 and g.getname(currindex - 1) == startname \
and g.getname(currindex - 2) == envname :
# continue from where we left off
startindex = currindex - 1
envindex = currindex - 2
elif currindex + 2 < g.numlayers() \
and g.getname(currindex + 1) == startname \
and g.getname(currindex) == envname :
# switch from envelope layer to current layer and continue
currindex += 2
g.setlayer(currindex)
startindex = currindex - 1
envindex = currindex - 2
elif currindex + 1 < g.numlayers() \
and g.getname(currindex) == startname \
and g.getname(currindex - 1) == envname :
# switch from starting layer to current layer and continue
currindex += 1
g.setlayer(currindex)
startindex = currindex - 1
envindex = currindex - 2
else:
# start a new envelope using pattern in current layer
if g.numlayers() + 1 > g.maxlayers():
clist = g.getcells(g.getselrect())
sel = g.getselrect()
for i in range(int(len(clist) / 3)):
clist[3 * i] = clist[3 * i] - sel[0]
clist[3 * i + 1] = clist[3 * i + 1] - sel[1]
clist.insert(0, sel[2])
clist.insert(1, sel[3])
tile.append(clist)
# tile.append(g.getcells(g.getselrect()))
if not tile == []:
if int(g.getstring("make new layer?", "1")):
try:
newindex = g.addlayer()
g.setlayer(newindex)
except:
g.show('too many layers')
input = g.getstring('tilewidth', '100')
wd = int(input)
input = g.getstring('tile to take e.g.: 1,5,7,8,.....', 'all')
poslist = input.split(',')
if len(poslist) == 1:
poslist = range(len(tile))
else:
for i in range(len(poslist)):
poslist[i] = int(poslist[i])
for j in range(len(poslist)):
if output_fname == "/YOUR/PATH/HERE/output-collisions.rle": # don't edit the path in this line
output_fname = g.savedialog("Pick a place for the output file", "RLE files (*.rle)|*.rle", \
defaultfolder, "output-collisions.rle", False)
if output_fname == "":
g.exit("No output filename provided. Script has exited.")
# create an empty output file to append results to
with open(output_fname, "w") as outf:
outf.write("x = 0, y = 0, rule = B3/S23\n")
x, y, count, match = 0, 0, 0, 0
with open(constellation_fname, "r") as f:
rledata = f.readlines()
for rlestr in rledata:
g.setlayer(0)
pat = g.parse(rlestr.replace("\n", ""))
mindiag, maxdiag = 99999, -99999
for i in range(0, len(pat), 2):
diag = pat[i] - pat[i + 1]
if diag < mindiag: mindiag = diag
if diag > maxdiag: maxdiag = diag
g.setlayer(1)
for lane in range(mindiag - 5 + HEIGHT + 2, maxdiag + 5 + HEIGHT + 2):
count += 1
g.new("Test " + str(count))
g.putcells(pat, x, y)
g.putcells(glider, lane, HEIGHT + 2)
rle = giveRLE(g.getcells(g.getrect())).replace("\n",
"").replace("!", "")
g.show("Step %i of %i" % (i+1, numsteps))
fit_if_not_visible()
# save some info before we switch layers
stepsize = "%i^%i" % (g.getbase(), g.getstep())
pattname = g.getname()
# create population plot in separate layer
g.setoption("stacklayers", 0)
g.setoption("tilelayers", 0)
g.setoption("showlayerbar", 1)
if poplayer == -1:
poplayer = g.addlayer()
else:
g.setlayer(poplayer)
g.new(layername)
# use same rule but without any suffix (we don't want a bounded grid)
g.setrule(g.getrule().split(":")[0])
deadr, deadg, deadb = g.getcolor("deadcells")
if (deadr + deadg + deadb) / 3 > 128:
# use black if light background
g.setcolors([1,0,0,0])
else:
# use white if dark background
g.setcolors([1,255,255,255])
minpop = min(poplist)
maxpop = max(poplist)
if parts[1] == "ZZ":
parts = [parts[0], "Z", parts[2], parts[3]]
actions = parts[3].split(", ")
for j in actions:
if j != "":
g.putcells(splitter, -182 - outputdict[j] * 64 + i * 64,
167 + outputdict[j] * 64 + i * 64)
nextstate = parts[2]
if nextstate != "":
offset = statedict[nextstate]
g.putcells(transrefl,
-150 - len(outputlist) * 64 + i * 64 - offset * 16,
165 + len(outputlist) * 64 + i * 64 + offset * 16)
# keep track of the placement of the first reflector, needed to place pattern correctly relative to GPC
if firstreflx == -1:
firstreflx = -150 - len(outputlist) * 64 + i * 64 - offset * 16
firstrefly = 165 + len(outputlist) * 64 + i * 64 + offset * 16
g.putcells(ZNZbackstop, -49 + numstates * 64, -11 + numstates * 64)
g.fit()
if GPClayer != -1:
calcpat = g.getcells(g.getrect())
g.setlayer(GPClayer)
g.putcells(
calcpat, 77924 - firstreflx, 38284 - firstrefly
) # this is the location of the key first reflector in calculator, in the GPC
if g.getname()[:6] == "GPC-2^":
g.setstep(int(g.getname()[6:8]))
envindex = 0
startname = "starting pattern"
envname = "envelope"
if currindex > 1 and g.getname(currindex - 1) == startname \
and g.getname(currindex - 2) == envname :
# continue from where we left off
startindex = currindex - 1
envindex = currindex - 2
elif currindex + 2 < g.numlayers() \
and g.getname(currindex + 1) == startname \
and g.getname(currindex) == envname :
# switch from envelope layer to current layer and continue
currindex += 2
g.setlayer(currindex)
startindex = currindex - 1
envindex = currindex - 2
elif currindex + 1 < g.numlayers() \
and g.getname(currindex) == startname \
and g.getname(currindex - 1) == envname :
# switch from starting layer to current layer and continue
currindex += 1
g.setlayer(currindex)
startindex = currindex - 1
envindex = currindex - 2
else:
# start a new envelope using pattern in current layer
if g.numlayers() + 1 > g.maxlayers():
"""
x = 11, y = 11, rule = Varlife
4.DBD$.F3.B.B$.F2.2B.2B$5.D.2D$D.B2.F.D2.D$3BD2FDF.2B$D4.D2.B.D$5.B2.B$.F2.DBD$.F2.DBD$4.DBD!
"""
# startX = -1610
# startY = 706
startX = 3199
startY = 738
# g.select([startX-3200, startY, 3201, 700])
# g.clear(0)
for layer in range(0, g.numlayers()):
if g.getname(layer) == "ROM-3ins":
g.setlayer(layer)
g.dellayer()
break
#g.addlayer()
#g.new('ROM-3ins')
#g.setrule('Varlife')
#code = g.getclipstr()
#open("c:\\tmp\\glife.log","a").write(code + "\n\n")
code = open("lang/out.asm","r").read()
#code = open("lang/bj-randomer.asm").read()
# code = """0. MLZ -1 A205 205;
else:
popfunc = lambda: g.getpop()
for i in range(numsteps):
g.run(1)
if g.empty():
break
poplist.append(int(popfunc()))
h = int(g.hash(g.getrect()))
if h in hashlist:
break
hashlist.append(h)
layername = "recurrent plot"
poplayer = -1
for i in xrange(g.numlayers()):
if g.getname(i) == layername:
poplayer = i
break
if poplayer == -1 and g.numlayers() == g.maxlayers():
g.exit("You need to delete a layer.")
if poplayer == -1:
poplayer = g.addlayer()
else:
g.setlayer(poplayer)
g.new(layername)
rp_plot(poplist)
for i in xrange(0, len(slist), 2):
livecell[slist[i] - selrect[0]][slist[i+1] - selrect[1]] = 1
# build a patch pattern based on the current rule
# that fixes the appropriate broken eaters in the rules table
r1, r2 = rulestr.split("/")
if r1[:1] == "B":
Bvalues, Svalues = r1.replace("B",""), r2.replace("S","")
elif r1[:1] == "S":
Svalues, Bvalues = r1.replace("S",""), r2.replace("B","")
else:
Svalues, Bvalues = r1, r2
# create metafied pattern in separate layer
if metalayer >= 0:
g.setlayer(metalayer) # switch to existing layer
else:
metalayer = g.addlayer() # create new layer
# set rule to Life
rule()
Brle = Srle = "b10$b10$b26$b10$b10$b26$b10$b10$b!"
for ch in Bvalues:
ind = 32-int(ch)*4 # because B and S values are highest at the top!
Brle = Brle[:ind] + "o" + Brle[ind+1:]
for ch in Svalues:
ind = 32-int(ch)*4
Srle = Srle[:ind] + "o" + Srle[ind+1:]
RuleBits = pattern(Brle, 148, 1404) + pattern(Srle, 162, 1406)
def prepare_burp():
highway_robber=pattern("""
143bo$143b3o$146bo$145b2o2$126bo42bo$126b3o38b3o$129bo36bo$128b2o11b2o
23b2o7b2o$141b2o32bo$108bo64bobo$108b3o6b2o54b2o$111bo5b2o$110b2o3$
111b2o$111b2o3b2o$116b2o35b2o23bo$154bo22bobo$151b3o8b2o14bo$151bo11bo
$98bo7bo53b3o$86bo11b3o5b3o51bo$84b3o14bo7bo32b2o$68bo14bo16b2o6b2o32b
obo30b2o$68b3o12b2o59bo30bobo$71bo72b2o31bo$70b2o105b2o$159bob2o$159b
2obo$71b2o$71b2o17b2o76b2o$90b2o76b2o5$104b2o$87b2o14bobo$87bo15bo74b
2o$88b3o11b2o74bo$90bo85bobo$84b2o90b2o$84bo$85b3o$87bo2$158b2o$159bo$
68b2o89bobo$67bobo90b2o$67bo25b2o$66b2o25bo$74b2o15bobo$74b2o15b2o98b
2o6bo$187bobo2bo4b3o$185b3ob2o5bo$184bo11b2o$185b3ob2o$177b2o8bob2o$
177b2o2$161b2o32b2o3b2o$161b2o32b2o3b2o$153b2o$88b2o2b2ob2o57bo18b2ob
2o$73b2o13bobo2bobo58bobo16b2obo$72bobo16b2o3bo58b2o21bo26bo$72bo19bob
2o76bob5o25bobo$71b2o16bo2bobo77b2o31bo$88bobobobo80b2o$89b2ob2o82bo$
173b3o$173bo33bo$171bobo31b3o$171b2o31bo$187b2o14bobo$187b2o15bo$83b2o
$83b2o$202b2o$202b2o2$175b2o$175b2o$72b2o123b2o$73bo19b2o102bo$73bobo
17bo76b2o26b3o$74b2o15bobo60b2o14b2o28bo$86bo4b2o62bo$85bobo64b3o$54bo
30bobo64bo$54b3o17b2o10bo$57bo15bobo$56b2o15bo116b2o$72b2o116bo$36b2o
49b2o102b3o$29b2o5b2o49bo105bo$29b2o57b3o6bo$90bo4b3o$94bo$31b2o17b2o
29b2o11b2o14b2o$31b2o17bo30b2o27b2o$25b2o21bobo$25b2o21b2o$116b2o$116b
2o36b2o$112b2o41bo$112b2o41bobo$156b2o$56b2o122b2o$56b2o11b2o109b2o$
69bo47b2o$70b3o44b2o$72bo2$22bo$22b3o55b2o96b2o$25bo53bobo96bo$24b2o
47b2o4bo99b3o$73b2o3b2o101bo$179b2o$76b4o99bo$75bo3bo97bobo$75b2o100b
2o$53b2o33bo22b2o$19b2o32b2o33b3o20bo$20bo70bo20b3o$20bobo67b2o22bo44b
o$21b2o136b3o$162bo$115bo45b2o$35b2o28b2o46b3o$35bobo27b2o45bo$37bo41b
2o6b2o23b2o$37b2o40b2o6bo2b2o$83b2o3b2obo$83b2o4bo89b2o$17bob2o68bo89b
o$17b2obo67b2obob2o18b2o62bobo$87bo2b2ob2o18bobo61b2o$26b2o60bo26bo$
26b2o33b2o26b3ob2o20b2o$60bo2bo27bobo66b2o$61bobo29bo66b2o15b2o$62bo
29b2ob2o80bobo$94bobo82bo$94bo84b2o$93b2o3$160b2o$160bo$158bobo$158b2o
2$16bo$16b3o$19bo33bo121b2obo$18b2o33b3o53b2o64bob2o$56bo52b2o$11bo43b
obo110b2o$11b3o42bo111b2o$14bo123bo$13b2o121b3o$57b2o19bo56bo$57b2o17b
3o19b2o20bo14b2o$75bo23bo19bobo$75b2o22bobo17bobo$100b2o15bobobobo34b
2o$10b2o19b2o79bo4b2o3b2o10bo24bo$10b2o19b2o47b2o29bobo19bobo23bobo$
80b2o29bobo19bobo24b2o$4bo95b2o10bo21bo4b2o$4b3o25b2o65bobo20b2o15bobo
$2o5bo24bo57b2o7bo21bobo17bo$bo4b2o25b3o54bo7b2o21bo19b2o36bo$bobo31bo
52bobo22b2o5b2o55b3o$2b2o29b2o53b2o23bo62bo$33bo17b2o61b3o28b2o29b2o$
31bobo4bo11bobo63bo28bo$31b2o3b3o11bo92bobo$35bo13b2o92b2o$35b2o94b2o$
61b2o68b2o$61b2o$b2o178b2o$b2o178bo$36b2o141bobo$36b2o141b2o3$27b2o37b
2o97b2o$27b2o36bobo51b2o43bobo$65bo54bo43bo$64b2o54bobo40b2o$121b2o2$
181b2obo$181bob2o2$40bo133b2o$38b3o133b2o$37bo$37b2o$138b2o$138b2o$42b
2o$42b2o78b2o$122b2o$114b2o$52b2o61bo18b2ob2o$52bo62bobo16b2obo$50bobo
63b2o21bo$50b2o81bob5o$13b2o118b2o$12bobo121b2o$12bo124bo$11b2o99bobo
19b3o$112b2obo18bo$23b2o90b3o$23b2o87b2o4bo$112bob5o$114bo$113bo3b2o$
108bo3bo3bobo$106b3o3b2o3bo$105bo$28b2o75b2o29b2o39b2o$27bobo106b2o38b
o2bo$27bo149b2o$26b2o2$131b2o$131b2o$135b2o$14b2o119b2o$14b2o35bo$49b
3o$48bo80b2o$48b2o63b2o14b2o$79bo33bo$68b2o7b3o34b3o$69bo6bo39bo$69bob
o4b2o$70b2o$109b2o$109bobo$111bo$111b2o7$103b2o$103bo$104b3o$106bo$13b
o19b2o$12bobo10b2o6bo5b2o41b2o$11bo2bo10bo8b3obobo41bo$12b2o9bobo10bob
o7b2o28b2obo3b3o$23b2o12b2o7b2o28b2ob4o2bo$82bo$64b2o6b2o2b2ob2o$63bob
o6bo4bobo$63bo9b4o2bo$62b2o7bobo2bobo$71b2o4bo!""")
connecting_neck=pattern("""
24bo$22b3o$21bo$21b2o$6b2o$7bo$7bobo$8b2o10bo$19bobo$19bobo$20bo4b2o$
8b2o15bobo$7bobo17bo$7bo19b2o$6b2o6$17b2o$17b2o7$23b2ob2o$22bobobobo$
5b2o16bo2bobo$6bo19bob2o$6bobo16b2o3bo$7b2o13bobo2bobo$22b2o2b2ob2o11$
8b2o15b2o$8b2o15bobo$2o25bo$bo25b2o$bobo$2b2o4$21bo107bo$19b3o106bobo$
18bo109bobo$18b2o106b3ob2o$24bo100bo$22b3o12bo84bo2b4ob2o$21bo15b3o82b
3o3bob2o$21b2o17bo84bo$39b2o83b2o26b2o$152bo$150bobo$150b2o2$24b2o$5b
2o17b2o76bo$5b2o95b3o6b2o$105bo5b2o41b2obo$104b2o48bob2o$4b2o$5bo141b
2o$2b3o12b2o86b2o40b2o$2bo14bo16b2o6b2o61b2o3b2o$18b3o14bo7bo66b2o$20b
o11b3o5b3o$32bo7bo$78bo51b2o3b2o$76b3o13bo38bo3bo$75bo16b3o33b3o5b3o$
50b2o23b2o18bo32bo9bo$45b2o3b2o42b2o42bobo$45b2o92b2o3$44b2o76b2o$45bo
5b2o69b2o$42b3o6b2o104b2o$42bo41b2o71bo$84b2o69bobo$61b2o92b2o$60bobo
62bo$60bo62b3o$59b2o10b2o49bo$72bo48bobo$69b3o9b2o39bo43b2o$69bo11bo
19b2o56b2o6bo$82bo17bobo56bo6bo$81b2o17bo19b2o35bobo6b2o$99b2o19b2o35b
2o$116b2o$116bo$117b3o24b2o$119bo23bobo$143bo25b2o$142b2o25b2o4$146b2o
$145bobo$145bo4b2o$144b2o5bo$148b3o5bo$148bo6bobo$156bo!""")
transmitter2c3=pattern("""
180b2o$180b2o$219bo$219b3o$178b2o42bo$116bo61b2o41b2o$115bobo47b2o99b
2o14bo$116bo49bo74b2o24bo14b3o$166bobo73bo13b2o6b3o18bo$167b2o73bobo
11b2o6bo19b2o12bo$110b2o51b2o78b2o53b3o$110b2o23b2o26b2o136bo$102b2o
31bo164b2o$103bo29bobo$103bobo27b2o$104b2o4b2o$110b2o162b2o$274b2o$
144b2o30b2o$102b2o40bo31b2o$102bo39bobo$104bob2o34b2o43b2o144b2o$103b
2ob2o78bo2bo143b2o$124b2o60bobo23b2o57b2o$103b2ob2o16b2o61bo20bo3b2o
57bo20b2o$104bobo100bobo26b2o14b2o3b2o13bo20bo$104bobo99bobo21b2o5bo
15bo3bo13b2o17b3o61b2o$105bo100bo23bobob3o13b3o5b3o29bo63b2o5b2o$205b
2o16b2o7bobo15bo9bo100b2o$223b2o7b2o152b2o6bo$169b2o125b2o84bobo2bo4b
3o$169b2o124bobo61b2o19b3ob2o5bo$295bo63b2o18bo11b2o$294b2o69b2o13b3ob
2o$365b2o15bob2o$131b2o151bo$131b2o149b3o12b2o$281bo16bo91b2o3b2o$271b
2o8b2o12b3o92b2o3b2o$272bo22bo$272bobo27b2o30b2o$273b2o28bo17b2o11b2o$
39bo82bo136bo27b2o11b3o19bo77bo$38bobo79b3o136b3o25b2o11bo18b3o77bobo$
39bo79bo142bo56bo80bo$108bo10b2o140b2o$37b5o65bobo228b2o$37bo4bo64bobo
177b2o50bo28b2o$40bo2bo61b3ob2o20bo155b2o47b3o29bo$12bo27b2obo60bo24b
3o204bo29bobo$12b3o10b2o10bo5bob2obo49bo6b3ob2o17bo104bo132b2o$15bo9b
2o9bobo4bobob2o49b3o6bob2o17b2o103b3o146b2o$4b2o8b2o20bo2bo2b2obo30b2o
23bo134bo145b2o$5bo31b2o6bo31bo6b2o14b2o133b2o11b2o13b2o$5bobo37b3o29b
obo4b2o39b2o121b2o13b2o$6b2o40bo23b2o4b2o44bo2bo87bo73b2o$47b2o23bobo
50b2o88b3o5b2o64bo$70bobob3o141bo4b2o62bobo$66b2o2b2o5bo139b2o68b2o81b
2o$4bob2o58b2o8b2o292b2o$2b3ob2o384b2o$bo216b2o172bo$2b3ob2o80b2o128b
2o3b2o123b2o15b2o26b3o$4bobo30b2o49b2o23b2o108b2o122bobo15b2o28bo$4bob
o30b2o74bo233bo$5bo108b3o229b2o$116bo77b2o7b2o$100b2o24b2o66b2o7bobo$
28b2o66bo3b2o24bo30b2o42bobob3o$28b2o65bobo29b3o2b2o24bo42b2o5bo40b2o
18b2obo112b2o$34b2o58bobo32bo3bo13b2o6b3o49b2o40bobo17bob2o112bo$34bo
19b2o38bo38bobo11b2o6bo95bo134b3o$30bo5bo16bobo37b2o24b2o13b2o115b2o
135bo$29bobo3b2o16bo65b2o164b2obo$30bo21b2o231bob2o$31b3o$33bo79b2o
163b2o$113b2o163b2o$117b2o46b2o$66b2o49b2o46b2o$66b2o$349b2o$350bo$71b
2o39b2o98b2o136bobo$70bobo39b2o99bo54b2o81b2o$70bo91b2o46b3o56bo105b2o
$69b2o91bo47bo58bobo103b2o$143b2o3b2o13bo106b2o$82b2o60bo3bo13b2o$82b
2o57b3o5b3o$141bo9bo40b2o$193bo$27bo162b3o180b2o$26bobo161bo182bo$26bo
2bo262b2o80b3o$27b2o263bo83bo$118b2o22bo147bobo81b2o$119bo20b3o99bo18b
o28b2ob2o79bo$116b3o20bo102b3o7b2o5b3o31bobo76bobo$116bo22b2o104bo6b2o
4bo34bobo76b2o$5b2o237b2o12b2o10b2o20b2ob2o$5b2o264bo24bo$9b2o104bo
155bobo18b2obo$9b2o104b3o139b2o13b2o18b2obobo56bo$23b2o93bo133b2o3b2o
37b2o56b3o$23b2o92b2o23b2o108b2o103bo$139b2o2bo212b2o28b2o$139bob2o71b
2o56b2o112bo$141bo71bobo55bobo110bobo$141bo71bo49bo7bo108b2o2b2o$116b
2o18b2obob2o69b2o47b3o5b3o108b2o$35b2o78bobo18b2ob2o2bo116bo7bo$35b2o
78bo26bo117b2o6b2o$13b2o99b2o20b2ob3o$14bo122bobo239b2o4b2o$11b3o123bo
241b2o4b2o$11bo90b2o30b2ob2o$102bo31bobo$100bobo5b2o26bo$99bobo6b2o26b
2o140b2o$95b2o3bo177b2o72b2o35bo$95b2o254bobo33b3o$20b2o69b2o194b2o62b
o34bo$21bo70bo194bo62b2o34b2o$18b3o71bobo193b3o63b2o$18bo74b2o195bo63b
2o3bo$233bo47b2o75bobo6b2o$233b3o46bo76bobo5b2o$236bo44bo79bo$235bobo
43b2o78b2o$120b2o4b2o108bo30bo$120b2o4b2o139b3o$270bo$237b2o30b2o8b2o
74bo$237b2o40bo61bo13b3o35b2o$121b2o154bobo59b3o16bo34b2o$121b2o2b2o
150b2o59bo18b2o$125bobo93bo41b2o73b2o$127bo92bobo40b2o26b2o$97b2o28b2o
91bobo68bo23bo72b2o$98bo119b3ob2o65bobo23b3o70b2o$95b3o119bo71b2o27bo
73b2o$95bo118bo2b4ob2o39b2o52b2o73b2o$214b3o3bob2o39b2o$217bo130b2o$
175bo40b2o26b2o102b2o36b2o$113b2o60b3o66bo126b2o13b2o$113bobo46b2o3b2o
9bo14b2o47bobo126bobo$77bo37bo2bo2bo40b2o3b2o8b2o15bo47b2o43b2o84bo$
77b3o35b7o71bo93b2o72b2o10b2o$80bo112b2o113b2o51bo$38b2o39b2o36b5o33b
2o151b2o41b2o9b3o$38b2o77bo4bo2b2o29bo174b2o19bo11bo$120bo2bo2bo29bobo
87b2obo81bobo17bo$120b2obobo31b2o87bob2o83bo17b2o$117bo5bob2o194b2o10b
2o$105b2o9bobo4bo72b2o41b2o80bo$105b2o9bo2bo2b2o72b2o41b2o70b2o9b3o$
117b2o193bo11bo$96b2obo211bo$96bob2o211b2o$160b2o$61b2o98bo60b2o3b2o$
61b2o8b2o85b3o28b2o32bo3bo$72bo85bo31bo15b2o12b3o5b3o29b2o$69b3o117bo
17bo12bo9bo28bobo$47b2o20bo119b2o13b3o23bobo26bo$48bo155bo26b2o25b2o
14b2o$10b2o33b3o70b2o153bo2bo$10b2o33bo29b2o41b2o154b2o$6bo50b2o15bobo
$6b3o48bo16bo98b2o$9bo48b3o12b2o98b2o54b2o$8b2o11bo38bo103b2o64bo$20bo
bo7b2o131bobo51b2o11bobo$20bobo7b2o44b2o85bo54bo12b2o$21bo55bo84b2o54b
obo$74b3o142b2o2b2o$74bo148b2o$81b2o34b2o$82bo34bobo$18b2o59b3o37bo$
18b2o59bo39b2o97b2o4b2o$4b2o212b2o4b2o$4b2o$2o$2o162bo$107bob2o3b2o48b
3o$105b3ob2o3bo52bo$104bo10b3o48b2o$105b3ob2o6bo101b2o$107b2o2bo106bob
o$110b2o106bo$217b2o2$164b2o$164b2o$188b2o$188bobo$190bo$24b2o164b2o$
23bobo$24bo4$132bo4b2o$131bobo2bobo7b2o$130bo2b4o9bo$26b2obo100bobo4bo
6bobo$26bob2o99b2ob2o2b2o6b2o$127bo$19b2o103bo2b4ob2o$19b2o103b3o3bob
2o$127bo40b2o$126b2o39bobo$52b2o103bo9bo$52b2o49b2o52b3o5b3o54b2o$104b
o55bo3bo57b2o$91bo11bo55b2o3b2o$9b2o39b2o39b3o9b2o$10bo39b2o42bo$10bob
o24b2o42b2o10b2o$11b2o25bo43bo150b2o$38bobo41bobo91b2o55bo$39b2o42b2o
91b2o53bobo$35b2o69b2o123b2o$35b2o69b2o75bob2o$29b2o152b2obo$29bo188b
2o$27bobo187bobo$27b2o109b2o77bo$132b2o4bobo75b2o$133bo6bo38b2o$48b2o
66b2o12b3o7b2o37bobo$48b2o47b2o18bo12bo50bo$97bo16b3o36b2o26b2o$59b2o
37b3o13bo39bo$58bo2bo38bo50b3o3bob2o59b2o$58bobo23b2o65bo2b4ob2o58bobo
$59bo20bo3b2o68bo64bo$79bobo73b3ob2o57b2o$7b2o69bobo76b2o2bo$7b2o17b2o
50bo81b2o84bo$26b2o49b2o165b3o$243bo$41b2o200b2o$41b2o2$219bo$219b3o$
222bo$221b2o23b2o$243b2o2bo$243bob2o$245bo$245bo$220b2o18b2obob2o$219b
obo18b2ob2o2bo$219bo26bo$218b2o20b2ob3o$241bobo$51bo189bo$12b2o35b3o
186b2ob2o$12b2o34bo189bobo$48b2o190bo$81bo158b2o$81b3o$17b2o65bo$17b2o
64b2o$13b2o$13b2o2$57b2o159b2o$19b2o36b2o158bobo$19b2o13b2o181bo$33bob
o180b2o$33bo181bo$32b2o10b2o74bo94b3o$45bo72b3o97bo$42b3o9b2o61bo99b2o
$42bo11bo20b2o40b2o17bo39bo$55bo20bo59b3o37b3o$54b2o17b3o63bo39bo$73bo
64b2o38b2o12bo$192b3o$159bo35bo19b2o$79b2o78b3o32b2o19b2o$78bobo81bo
76b2o$78bo82b2o11b2o63bobo$77b2o95b2o65bo$241b2o2$80b2o$81bo$78b3o$78b
o$85b2o30b2o$86bo17b2o11b2o$83b3o19bo80b2o$83bo18b3o82bo$102bo81b3o$
184bo2$153b2o$147b2o5bo20b2o13b2o$147bobob3o21bobo11bobo$140b2o7bobo
25bo11bo$140b2o7b2o26b2o9b2o3$191b2o$192bo$189b3o19b2o21b2o$189bo20bob
o21b2o$196b2o12bo17b2o$197bo11b2o17b2o$194b3o$194bo$230b2o$223b2o5b2o$
223b2o5$89b2o$89b2o8$63bo$62bobo$62bobo$61b2ob2o16b2o$82b2o$61b2ob2o$
62bob2o34b2o$60bo39bobo$60b2o40bo$102b2o2$68b2o$62b2o4b2o$61bobo27b2o$
61bo29bobo$60b2o31bo$68b2o23b2o$68b2o$86b2o$82bo3b2o$74bo6bobo$73bobo
4bobo$74bo5bo$79b2o!""")
head2c3=pattern("8b2o$3bo2bo2bo$3b6o2$3b6o$2bo6bo$2bo2b5o$obobo$2o2bo$4bo$3b2o!")
body2c3=pattern("6bo$b6o$o$o2b6o$obo6bo$obo2b5o$b2obo$4bo$4bo$3b2o!")
tail2c3=pattern("5b2o$5b2o2$b6o$o5bo$o2b3o$obo$o2bo$b2o!")
wire2c3=head2c3(625,388) + tail2c3(2143,1905)
for i in range(631,2142,6): # 251 body segments
wire2c3+=body2c3(i,i-236) # first one at (631, 395)
receiver2c3=pattern("""
208bo$207bobo$208bo3$213b2o$188b2o23b2o$189bo31b2o$189bobo29bo$190b2o
27bobo$213b2o4b2o$213b2o2$179b2o$180bo40b2o$180bobo39bo$181b2o34b2obo$
217b2ob2o$199b2o$199b2o16b2ob2o$218bobo$218bobo$219bo8$192b2o$192b2o8$
55b2o$48b2o5b2o$48b2o$85bo$83b3o$50b2o17b2o11bo$50b2o17bo12b2o$44b2o
21bobo20bo$44b2o21b2o19b3o$87bo$87b2o3$90b2o9b2o26b2o7b2o$90bo11bo25bo
bo7b2o$88bobo11bobo21b3obobo$88b2o13b2o20bo5b2o39bo$125b2o45b3o$175bo
14bo$95bo78b2o12b3o$41bo51b3o91bo$41b3o48bo94b2o$44bo47b2o$43b2o$186b
2o$167b2o17b2o$167b2o3$61b2o$61bo$59bobo42b2o$59b2o43b2o11b2o51b2o$
117bo53bo$84b2o32b3o48bo$42b2o40bo35bo48b2o$42b2o15b2o24b3o85b2o$59bob
o25bo12b2o38b2o32bo$61bo38bo39bo30b3o$61b2o38b3o37b3o27bo$103bo39bo3$
42b2o$42bo$40bobo$40b2o4$57b2obo$57bob2o2$50b2o$50b2o122b2o$173bobo$
173bo29b2o$172b2o29bobo$205bo$178b2o25b2o$177bobo4b2o$40b2o135bo7bo$
41bo134b2o4b3o$41bobo138bo$42b2o146b2o$189bobo$189bo$188b2o$61bo$59b3o
$58bo$58b2o$206b2o$182bo23bobo$63b2o117b3o23bo$63b2o120bo22b2o$184b2o
14b2o$200b2o$73b2o$73bo$71bobo$71b2o$34b2o$33bobo$33bo$32b2o2$44b2o$
44b2o$160b2o7b2o30b2o$92b2o66b2o7bobo29bobo$92b2o45bo27bobob3o29bo$
139b3o25b2o5bo28b2o$142bo30b2o$90b2o49b2o$49b2o39b2o$48bobo26b2o43bo$
48bo29bo43b3o$47b2o29bobo44bo$79b2o43b2o11b2o$75b2o60b2o$75b2o4$177b2o
21b2o$66b2o108bobo21b2o$66bo109bo17b2o$64bobo21b2o85b2o17b2o$48b2o14b
2o22b2o$48b2o93b2o$52bo46b2o39b2o2bo2b2o47b2o$48b2o2b3o43bo2bo38b2obo
3bo41b2o5b2o$48b2o5bo42bobo23b2o17bobobo10b2o29b2o$54b2o43bo20bo3b2o
14b2obob2o12bo$119bobo12b2o4bo2bo12b3o$118bobo13b2o6b2o12bo$67b2o49bo$
66bobo48b2o$67bo$81b2o$81b2o4$47b2o$47b2o5$49bo$19b2o28b3o$12b2o5b2o
31bo92bo$12b2o37b2o90b3o11bo$47b2o93bo14b3o$47bo94b2o16bo14bo$14b2o33b
o109b2o12b3o$14b2o32b2o69bo52bo$8b2o109b3o50b2o$8b2o112bo$121b2o$171b
2o$152b2o17b2o$45b2o105b2o$45b2o17b2o$64b2o3$65b2o$65bo89b2o$52b2o12b
3o41bo23b2o20bo$35b2o16bo14bo40bobo22bo19bo$35bo14b3o57bo14b2o8b3o16b
2o$28bo7b3o11bo74bo11bo20b2o$26b3o9bo87b3o30bo$25bo102bo27b3o$25b2o
129bo$17b2o93b2o$17b2o92bobo$111bo$110b2o62b2o$126b2obo44bobo$126bob2o
46bo$176b2o$34b2o83b2o$34bo84b2o$32bobo$32b2o3$166b2o$166b2o2$157b2obo
$157bob2o2$36b2o$36bobo$38bo91b2o44b2o$38b2o90bo44bobo$28b2o98bobo44bo
$28b2o98b2o44b2o$9bob2o$9b2obo2$18b2o135b2o$18b2o136bo$156bobo$157b2o
15b2o$114b2o58b2o$114bo2b2o$115b2obo$116bo40b2o$28b2o86bobo4b2o31bobo$
28bo88b2o5bo31bo$26bobo94bo31b2o$26b2o68b2o25b2o$70bo25bo$58bo11b3o21b
obo$56b3o14bo20b2o$40bo14bo16b2o$40b3o12b2o70b2o44b2o$43bo58b2o24bo44b
o$4b2o36b2o59bo13b2o6b3o46b3o$5bo97bobo11b2o6bo50bo$5bobo96b2o$3b2ob2o
35b2o$2bobo38b2o17b2o$2bobo57b2o$b2ob2o20b2o$bo24bo$2bob2o18bobo108b2o
$obob2o18b2o109b2o$2o$59b2o32b2o$59bo20b2o11b2o$24b2o35bo19bo67b2o21b
2o$24bobo33b2o16b3o67bobo21b2o$26bo29b2o20bo53b2o14bo17b2o$26b3o27bo
75bo14b2o17b2o$29bo27b3o37b2o14b2o3b2o13bo$28b2o29bo38bo15bo3bo13b2o$
95b3o13b3o5b3o46b2o$95bo15bo9bo39b2o5b2o$161b2o4$18b2o$18b2o2$9b2o$10b
o$7b3o45b2o$7bo47b2o$15b2o32b2o$15bo33b2o$16bo$15b2o$51b2o$44b2o5b2o$
44b2o!""")
inserter2c3=pattern("""
51bo$49b3o$23b2o23bo$24bo23b2o$24bobo$25b2o2b2o37bo$29b2o35b3o15bo9bo$
65bo18b3o5b3o$52b2o11b2o20bo3bo$52b2o32b2o3b2o8$23b2o52b2o$22bobo16b2o
34b2o$22bo18bobo45b2o$21b2o20bo44bo2bo$37b2o4b2o44b2o4b2o$37bo2bo54bob
o$39b2o56bo$30b2o65b2o$30b2o20b2o33b2o$53bo34bo$50b3o32b3o$50bo34bo2$
19bo$19b3o$22bo$21b2o2$85b2o$85bo$86b3o$88bo2$40b2o$40bo$38bobo$38b2o
12$20b2o15b2o$19bobo15b2o$19bo$18b2o6$25bo$25b3o$28bo$27b2o28b2o$57bo$
55bobo$51b2o2b2o$51b2o4$50b2o4b2o$50b2o4b2o5$23b2o35bo$22bobo33b3o$22b
o34bo$21b2o34b2o$25b2o$25b2o3bo$29bobo6b2o$30bobo5b2o$32bo$32b2o$24b2o
$25bo$25bobo$26b2o2b2o$30b2o32b2o$64b2o4$59b2o$59b2o$63b2o$63b2o3$24b
2o31b2o$23bobo16b2o13b2o$23bo18bobo$22b2o20bo$38b2o4b2o$38bo2bo$40b2o$
31b2o$31b2o7$21b2o$22bo$22bobo$23b2o$39bo$37b3o$36bo$36b2o3$10b2o$10b
2o7$43b2o$43b2o4$38b2o$38b2o$2o40b2o$2o40b2o3$36b2o$21b2o13b2o$21bobo$
23bo$23b2o!""")
all=highway_robber(86,0) + connecting_neck(195,262) + transmitter2c3(347,219) \
+ wire2c3 + receiver2c3(2103,1763) + inserter2c3(2024,2042)
while g.numlayers()>1: g.dellayer()
all.display("Stable Pseudo-Heisenburp Device")
g.setmag(0)
setposint(120,200)
g.setname("Highway Robber")
g.clone()
g.setname("2c/3 Transmitter")
setposint(500,400)
g.clone()
g.setname("2c/3 Receiver")
setposint(2175,2000)
g.clone()
g.setname("Stable Pseudo-Heisenburp Device")
g.clone()
g.setname("Glider Fleet")
setposint(330,290)
# since the tiles change size depending on how many layers have been created,
# have to create all five layers before checking visibility of components --
# now go back and check that the critical areas are all visible:
g.setlayer(0)
while not g.visrect([100,100,150,175]): g.setmag(g.getmag()-1)
g.setlayer(1)
while not g.visrect([350,225,400,350]): g.setmag(g.getmag()-1)
g.setlayer(2)
while not g.visrect([2100,1750,225,300]): g.setmag(g.getmag()-1)
g.setlayer(3)
g.fit()
g.setlayer(4)
while not g.visrect([0,200,300,400]): g.setmag(g.getmag()-1)
g.update()
for i in range(0, len(cells), 2):
idx = a * cells[i] + b * cells[i + 1]
if idx > current_max:
current_max = idx
ox = cells[i]
oy = cells[i + 1]
if gen > 0 and current_max >= all_max + increase:
loc = 256
while loc in locs:
loc += 256
locs.add(loc)
q.append((gen, loc, ox, oy))
g.putcells(cells, loc - ox, -oy)
g.putcells(start_cells, loc)
if q and q[0][0] + delay == gen:
test(pat, *q[0])
g.select([-128 + q[0][1], -128, 256, 256])
g.clear(0)
locs.remove(q[0][1])
q.popleft()
all_max = max(all_max, current_max)
g.run(1)
testkey()
g.dellayer()
g.setlayer(results_layer)
g.fit()
# save current layer's info before we switch layers
currname = g.getname()
currcursor = g.getcursor()
currcolors = g.getcolors()
currstates = g.numstates()
deads, deadr, deadg, deadb = g.getcolors(0)
# create histogram in separate layer
g.setoption("stacklayers", 0)
g.setoption("tilelayers", 0)
g.setoption("showlayerbar", 1)
if histlayer == -1:
histlayer = g.addlayer()
else:
g.setlayer(histlayer)
g.new(histname)
g.setcursor(currcursor)
# use a Generations rule so we can append extra state for drawing text & lines
g.setrule("//" + str(currstates + 1))
extrastate = currstates
currcolors.append(extrastate)
if (deadr + deadg + deadb) / 3 > 128:
# use black if light background
currcolors.append(0)
currcolors.append(0)
currcolors.append(0)
else:
# use white if dark background
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()
