def gen_diff(cls, pattern):
# Generate a diff string for each direction and store it
SOLVED_CUBE_STR = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz01"
cube = Cube(SOLVED_CUBE_STR)
s1 = cube.flat_str()
cube.sequence(pattern)
s2 = cube.flat_str()
return [s1.index(s2[i]) for i in range(len(s1))]
def test(self):
if not (self.fwd and self.rev):
return False
c = Cube(self.initial)
c.sequence(self.fwd)
c.sequence(self.rev)
return (c.flat_str() == self.initial)
def data_generator():
c = Cube(SOLVED_STATE)
print_cube(c)
for x in np.random.randint(0, 12, 100):
getattr(c, actions[x])() #scramble cube
print(f"action={actions[x]}")
print_cube(c)
str = c.flat_str()
print("12 children")
for a in actions:
c_working = Cube(str)
getattr(c_working, a)()
print_cube(c_working)
print("--------------------")
def main():
global log
# Parse arguments and initialize logging
parser = ArgumentParser(
__name__, "Find permutations of PLL algorithms " +
"that return the cube to a solved state. If " +
"neither '--anki' or '--trainer' is specified, " +
"print all identified sequences and their " +
"patterns' respective steps.")
parser.add_argument(action="store",
nargs="*",
dest="algorithms",
help="Override the list of algorithms that will be " +
"tested. If not specified, use all algorithms found " +
" in ./pll.json")
parser.add_argument("-d",
"--max-depth",
default=4,
help="Set maximum " + "recursion depth (default: 4)")
parser.add_argument("-a",
"--anki",
action="store_true",
default=False,
help="Print all identified patterns in Anki's flash " +
"card format")
parser.add_argument("-s",
"--search",
action="store",
nargs="+",
help="Only include sequences that use at least one " +
"of the specified patterns")
parser.add_argument("-t",
"--trainer",
action="store_true",
default=False,
help="Pick a random sequence and present the steps " +
"one by one. Calculate time to solve each step, as " +
"well as total time and average time per step. " +
"Advance from one step to the next by pressing any " +
"key")
parser.add_argument("-v",
nargs="?",
action=VAction,
dest="verbosity",
help="Set log level. Accepted up to 3 times (e.g. " +
"-vvv)")
args = parser.parse_args()
log = init_logging(args)
# Read available algorithms from './pll.json' and parse them into Sequence
# objects.
#
# TODO: Make the file path user-controllable
pll = {}
with open('./pll.json') as f:
_pll = json.load(f)
for j in _pll["algorithms"]:
pll[j["name"]] = Sequence(j["name"], j["fwd"], j["rev"], j["fmt"])
if "variants" in j:
for variant in j["variants"]:
v_fwd = variant
if len(v_fwd) == 1:
v_rev = f"{v_fwd}i"
v_fmt = v_fwd
elif len(v_fwd) == 2 and v_fwd[1] == "i":
v_rev = v_fwd[:-1]
v_fmt = f"{v_rev}'"
else:
continue
v = (v_fwd, v_rev, v_fmt)
pll[f"{v[2]}+{j['name']}"] = Sequence(
f"{v[2]}+{j['name']}", f"{v[0]} {j['fwd']}",
f"{j['rev']} {v[1]}", f"{v[2]} {j['fmt']}")
log.debug(f"Parsed sequence {j['name']:<2}: {j['fmt']}")
## TODO:
# "Na": "Z D Ri U R R Di R D Ui Ri U R R Di R Ui R",
# "Nb": "Z Ui R Di R R U Ri D Ui R Di R R U Ri D Ri",
# "Gc": "Ri Ri Ui E R Ui R U Ri U Ei R R Fi S Ri Si F",
# "V": "Ri U Ri Di Ei Ri Fi R R Ui Ri U Ri F R F",
# Test all sequences
for name, seq in pll.items():
if not seq.test():
log.error(f"Sequence {name} did not return cube to solved state")
# Create a cube object and place it in the solved state
cube = Cube(Sequence.initial)
if args.algorithms:
# If a list of algorithms was provided, drop any invalid entries
sequences = list(set(args.algorithms).intersection(set(pll.keys())))
else:
# Otherwise, use the full set
sequences = list(pll.keys())
starting_sequences = set(sequences)
limit_one = args.trainer
patterns = find_pattern(cube.flat_str(),
pll,
sequences,
int(args.max_depth),
limit_one=limit_one)
used_sequences = set()
for p in patterns:
pattern = p.split()
# If a whitelist was provided, use it to filter the pattern list
if (not args.search) or len(
set(args.search).intersection(set(pattern))) > 0:
if args.anki:
# Print the raw list of matched sequences in Anki's flashcard
# format ([front],[back],[tags])
out = f"{' -> '.join(pattern[:-1])} -> _,"
tags = []
# Print each pattern wrapped in a <div>
for a in pattern:
out = f"{out}<div>{str(pll[a])}</div>"
tags.append(a)
out = f"{out},{' '.join(tags)}"
print(out)
elif not args.trainer:
# Default case (not Anki or trainer mode): Print each sequence,
# including both the list of patterns and their respective
# steps.
print(f"{' -> '.join(pattern)}")
for a in pattern:
print(f"{a:<2} - {str(pll[a])}")
print()
used_sequences = used_sequences.union(set(pattern))
# Print a list of all sequences that were not used at least once
not_used = starting_sequences - used_sequences
if len(not_used):
log.debug(f"Not used: {', '.join(list(not_used))}")
##
# Whenever a key is pressed, add it to the queue to be handled inside the
# timer loop.
##
def read_input(_queue):
# Source: https://stackoverflow.com/questions/510357/21659588#21659588
fd = sys.stdin.fileno()
old_settings = termios.tcgetattr(fd)
try:
tty.setraw(sys.stdin.fileno())
ch = sys.stdin.read(1)
# Handle arrow keys, which consist of 3-character ANSI escape
# sequences. Source: https://stackoverflow.com/questions/22397289
if ord(ch) == 27:
ch = sys.stdin.read(2)
_queue.put(' ')
else:
_queue.put(ch)
finally:
termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
##
# Create a separate thread to listen for (blocking) keyboard input events
##
def spawn_thread(_queue):
thread = threading.Thread(target=read_input, args=(_queue, ))
thread.start()
# 'Trainer' mode: select a random sequence from the identified list and step
# through it. Each step is timed; advance steps by pressing any key. Press
# ESC, Ctrl+C, or Ctrl+D to terminate, or advance through the last step.
if args.trainer:
if not len(patterns):
log.critical("No patterns found; cannot continue")
return 1
pattern = random.choice(list(patterns)).split(" ")
interval = 0.01
elapsed = 0
spacer = ""
out = ""
_queue = queue.Queue()
spawn_thread(_queue)
if len(pattern):
last = False
cont = True
total = 0
count = len(pattern)
out = f"\x1bc{pattern.pop(0)}"
while cont:
try:
val = _queue.get(False)
if val:
if ord(val) in [3, 4, 27]:
total += elapsed
print(f"\nTotal: {total:.2f}s")
sys.exit(0)
try:
total += elapsed
out = f"{out} [{elapsed:.2f}s]"
# If the next step is the last one, mask it while
# the timer is running.
if len(pattern) == 1:
last_pattern = pattern.pop(0)
out = f"{out} -> _"
else:
out = f"{out} -> {pattern.pop(0)}"
elapsed = 0
except IndexError:
pass
if last:
cont = False
else:
# Spawn a new listener thread if there are more
# queued steps.
spawn_thread(_queue)
if not len(pattern):
last = True
except queue.Empty:
pass
sys.stdout.write("\r")
sys.stdout.write(f"{out} [{elapsed:.2f}s]")
sys.stdout.flush()
time.sleep(interval)
elapsed += interval
sys.stdout.write("\r")
sys.stdout.flush()
print(out.replace(" -> _", f" -> {last_pattern}"))
print(f"Total: {total:.2f}s")
print(f"Avg: {total/count:.2f}s")
