class Runner():
def __init__(self):
self.persist = Persist()
def menu(self):
while True:
print "Enter command: "
s = raw_input()
s = s.split(" ")
if s[0] == 'help':
print ""
print "HELP:"
print "run algo random/db scramble_type"
print "add filename"
print "dump algoname"
print "list"
print "show algoname"
print "rm algoname"
print "rmstats algoname"
print "stats algoname"
print "addsc type count"
print "listsc type"
print "branch algoname tries (algotype)"
print "rmsc (type)"
print "catrun category scramble_type"
print "catstats category"
print "import filename"
print "failshow"
print "removeallresult"
print "failselect id"
print ""
if s[0] == 'run':
name = s[1]
mode = s[2]
scramble_type = ''
if len (s) >= 4:
scramble_type = s[3]
self.run_algo_command(name,mode,scramble_type,scramble_type)
if s[0] == 'add':
algo = Algo_Parser.parse_algo(s[1])
self.persist.add_algo(algo)
if s[0] == 'list':
algos = self.persist.list_algos()
print ""
print "Available algos:"
for a in algos:
name = a['name']
while len(name) < 12:
name = name + " "
print name, 'category:', a['category']
print ""
if s[0] == 'show':
res = self.persist.get_algo(s[1])
print ""
print "Algo ", s[1], "described:"
for key, value in res.items():
print key,":",value
if str(key) == 'steps':
for item in value:
print map(str, item)
print ""
if s[0] == 'rm':
self.persist.remove_algo(s[1])
if s[0] == 'rmstats':
name = s[1]
self.persist.remove_results(name)
if s[0] == 'stats':
name = s[1]
self.stats(name)
if s[0] == 'addsc':
scramble_type = s[1]
cnt = int(s[2])
for i in range(0,cnt):
self.persist.add_scramble({'scramble_type' : scramble_type,
'scramble' : Scrambler.gen_scramble()})
if s[0] == 'listsc':
scramble_type = 'full'
if len(s) > 1:
scramble_type = s[1]
#for s in self.persist.get_scrambles(scramble_type=scramble_type):
for scram in self.persist.get_scrambles():
print scram
if s[0] == 'rmsc':
sctype = None
if len(s) > 1:
sctype = s[1]
self.persist.remove_scrambles(scramble_type = sctype)
if s[0] == 'col':
print self.persist.db.collection_names()
#self.persist.db.problem_state.drop()
if s[0] == 'branch':
name = s[1]
scramble_type = 'full'
cnt = 1
if len(s) > 2:
cnt = int(s[2])
if len(s) > 3:
scramble_type = s[3]
self.branch(name, cnt, scramble_type)
if s[0] == 'catrun':
if len(s) < 3:
print "too few arguments"
return
category = s[1]
scramble_type = s[2]
algos = self.persist.find_algo_category(category)
for algo in algos:
if algo['category'] == category:
print "Running for ", algo['name']
self.run_algo_command(algo['name'], 'db',0, scramble_type)
if s[0] == 'catstats':
category = s[1]
algos = self.persist.find_algo_category(category)
print ""
print "Stats for category", category
print "============================================="
for algo in algos:
self.stats(algo['name'])
print ""
if s[0] == 't':
for rec in self.persist.db.algo.find():
print rec
if rec['name'] == 'standard':
self.persist.db.algo.remove({'name' : rec['name']})
rec['category'] = 'full'
self.persist.db.algo.save(rec)
if s[0] == 'rename':
algo = self.persist.get_algo(s[1])
algo['name'] = s[2]
self.persist.remove_algo(s[1])
self.persist.add_algo(algo)
if s[0] == 'setcat':
algo = self.persist.get_algo(s[1])
algo['category'] = s[2]
self.persist.remove_algo(s[1])
self.persist.add_algo(algo)
if s[0] == 'dump':
algo = self.persist.get_algo(s[1])
algo.pop("_id", None)
f = open(s[1] + '-dump.algo', 'w')
json.dump(algo, f)
f.close()
if s[0] == 'import':
f = open(s[1], 'r')
algo = {}
for line in f:
split = line[:-1].split('#')
algo[split[0]] = split[1]
print line
f.close()
self.persist.add_algo(algo)
if s[0] == 'failshow':
fails = self.persist.result.find({'success' : False})
for nr, fail in enumerate(fails):
if nr >= 10:
break
print "============================ ITEM", nr,"==============================="
print "algoname:",fail['name']
if s[0] == 'failselect':
chosen_nr = int(s[1])
fails = self.persist.result.find({'success' : False})
success = False
for nr, fail in enumerate(fails):
if nr == chosen_nr:
self.persist.save_latest_solve(fail)
success = True
if success:
print "Done"
else:
print "Unknown id"
if s[0] == 'removeallresult':
self.persist.result.remove()
if s[0] == 'export':
algoname = s[1]
res = self.persist.result.find({'name' : algoname})
min_cnt = 1000000
max_cnt = 0
tot = 0
result_cnt = 0.0
out = ""
fail = 0
move_cnt_array = []
for r in res:
result_cnt += 1
if not r['success']:
fail += 1
continue
move_cnt = r['move_cnt']
min_cnt = min(min_cnt, move_cnt)
max_cnt = max(max_cnt, move_cnt)
tot += move_cnt
move_cnt_array.append(move_cnt)
bar_chart = [0] * (max_cnt/5 + 1)
for move in move_cnt_array:
bar_chart[move/5] += 1
fst_label = 0
while(bar_chart[0] == 0):
fst_label += 5
bar_chart = bar_chart[1:]
print bar_chart
value = ""
for b in bar_chart:
value += str(fst_label) + '-' + str(fst_label + 4) + "," + str(b) + '\n'
fst_label += 5
value = value[:-1]
fout = open('stats.csv','w')
fout.write(value)
fout.close()
print 'total problem instances:', result_cnt
print 'fail count:', fail
print 'min:', min_cnt
print 'max:', max_cnt
print 'mean:', tot/result_cnt
print 'successrate:', 1- fail/result_cnt
def stats(self, name):
res = self.get_algo_result(name)
success_cnt = res['success_cnt']
tot_cnt = res['tot_cnt']
tot_success_moves = res['tot_success_moves']
search_cnt = res['search_cnt']
if success_cnt > 0:
print "Total stats for ", name,":"
print "==========================="
print "Succes %:",(success_cnt)/(tot_cnt+0.0)*100.0, "(",success_cnt,"/",tot_cnt,")"
print "Avg moves:",tot_success_moves/success_cnt
print "Search count:", search_cnt
print "Avg time:", res['avg_time']
print ""
else:
print "No successful data for ", name
def branch(self, name, cnt, scramble_type):
for i in range(0, cnt):
limit = random.uniform(0.1, 0.5)
keep_limit = random.uniform(0.0, 0.20)
original = self.persist.get_algo(name)
print "Original steps:"
new_name = ''.join(random.choice(string.ascii_lowercase) for x in range(5))
steps = []
for line in original['steps']:
if str(line[0]) == 'set_moves':
cmds = ""
#try adding some stuff:
cmd_list = []
for move in line[1].split(","):
if random.random() > keep_limit:
cmd_list.append(move)# += "," + move
cands = 'r,f,l,u,d,b,U,D,R,F,L,B,rp,fp,lp,up,dp,bp,Dp,r2,f2,l2,u2,d2,b2,U2,D2,R2,F2,L2,B2,r U rp,rp U r, b U bp,bp U b,fp U f,F,R,L,B,Fp,Rp,Lp,Bp'
for move in cands.split(','):
if random.random() > limit and move not in cmd_list:
cmd_list.append(move)
random.shuffle(cmd_list)
for c in cmd_list:
cmds += "," + c
if len(cmds) > 0:
steps.append([line[0], cmds[1:]])
else:
steps.append(line)
algo = { 'name' : new_name,
'category' : original['category'],
'steps' : steps }
print 'new_algo:', algo
self.persist.add_algo(algo)
#run the algo on type full
success_rate = self.run_algo_command(new_name,'db',0,scramble_type, break_early=True)
if success_rate < 0.80:#remove everything that fails more than some %
self.persist.remove_algo(new_name)
print "removing algo",new_name,"since successrate is too low"
print "success rate is", success_rate
def run_algo(self,algo_name, scramble,save_last=False):
self.persist = Persist()
print "Starting run"
solver = Solver()
result = solver.solve(algo_name, scramble)
print "Run complete, result:", result['success'], "total time:", result['time']
self.persist.save_result(result)
if save_last:
self.persist.save_latest_solve(result)
return result['success']
def run_algo_command(self, name, mode, num_times, scramble_type, break_early=False):
scrambles = []
print scramble_type
if mode == 'random':
num_times = 1
for i in range(0,num_times):
scrambles.append(Scrambler.gen_scramble())
if mode == 'db':
tmp = self.persist.get_scrambles( scramble_type)
for scr in tmp:
scram = scr['scramble']
scrambles.append(scram)
if mode == 'last':
res = self.persist.get_latest_solve()
scrambles.append(res['scramble'])
print "scram len:", len(scrambles)
success_cnt = 0.0
fail_cnt = 0.0
for scram in scrambles:
if self.run_algo(name, scram, save_last=mode == 'last'):
success_cnt += 1
else:
fail_cnt += 1
if break_early and fail_cnt / len(scrambles) > 1 - REQ_SUCCESS + 0.01: #epsilon
return 0
if success_cnt == 0:
return 0.0
success_rate = (success_cnt)/(success_cnt + fail_cnt)
return success_rate
def get_algo_result(self, name):
algos = self.persist.list_results(name=name)
success_cnt = 0
fail_cnt = 0
tot_success_moves = 0
search_cnt = 0
tot_time = 0
for algo in algos:
if algo['success']:
success_cnt += 1
tot_success_moves += algo['move_cnt']
search_cnt += algo['search_cnt']
tot_time += algo['time']
else:
fail_cnt += 1
tot_cnt = success_cnt + fail_cnt
avg_time = 0
if tot_cnt > 0:
search_cnt /= tot_cnt
avg_time = tot_time / tot_cnt
ret = {'success_cnt' : success_cnt,
'fail_cnt' : fail_cnt,
'tot_success_moves' : tot_success_moves,
'search_cnt' : search_cnt,
'tot_cnt' : tot_cnt,
'avg_time' : avg_time}
return ret
class Solver():
def __init__(self):
self.persist = Persist()
pass
def solve(self, algo_name, scramble):
c = Cube()
dbalgo = self.persist.get_algo(algo_name)
algo = Imported_Algo(c, dbalgo)
move_cnt = 0
solution = []
print scramble
for move in scramble.split(' '):
c.rotate([move])
done = False
success = False
t0 = time.time()
while True:
fst = True
while len(algo.queued_moves) > 0 or fst:
fst = False
move = algo.next_move()
if move == 'fail':
done = True
if move != None and move != ' ' and move != '' and move != 'fail':
move_cnt += 1
c.rotate([move])
solution.append(move)
if len(algo.algo_steps) == 0:
done = True
success = True
else:
step = algo.algo_steps[0]
if step['type'] == 'comment':
print "Comment:", step['value']
if step['value'] == "done":
done = True
success = True
if done:
break
#next step in algo
res = algo.parse_algo()
result = {'scramble' : scramble,
'move_cnt' : move_cnt,
'success' : success,
'rules' : algo.rules,
'moves' : solution,
'name' : algo_name,
'date' : datetime.now(),
'time' : time.time() - t0,
'search_cnt' : algo.search_cnt,
'rnd' : random.randrange(0,1000000000000)}
return result