def save_game(self):
path = QFileDialog.getSaveFileName(self, 'Create save file',
QDir.currentPath() + '/sav')[0]
if path != '':
save(path, self.play_widget.game, self.play_widget.export_log(),
self.play_widget.move_count)
self.statusbar.showMessage('Game saved', 5000)
def file_save_as(self):
filename = QtWidgets.QFileDialog.getSaveFileName(self, 'Save File', os.getcwd())
filesave=QtCore.QFile(filename[0])
if filesave.open(QtCore.QIODevice.WriteOnly)==None :
print("filesave.open(QtCore.QIODevice.WriteOnly)==None")
return -1
else :
items=[self.scene.lines, self.scene.rects, self.scene.ellipses, self.scene.texts, self.scene.polygons]
save(items, str(filename[0]))
self.statusbar.showMessage('File saved')
def updatebonds(accounts):
global total_bond_worth_issued
save_load.save(accounts)
try:
for item in accounts:
item = accounts[item]
for bond in item.bonds:
bond = item.bonds[bond]
total_bond_worth_issued -= bond.update()
except:
pass
def dft_teacher(layers, recursive=False):
dft_data = pd.read_csv('../input/DFT_samples.csv')
dft_X = dft_data.drop(columns=['Label'])
dft_Y = dft_data.Label.values
clf = teach_nn(dft_X.values, dft_Y, layers, recursive)
model_name = 'mlpc_'
for chunk in layers:
model_name = model_name + '_' + str(chunk)
save(clf, model_name, 'mlpc')
return clf
def mkquote(prefix,influx,sender,debug):
arg = influx[10+len(prefix):]
if debug:
print sender+":"+prefix+"makequote "+str(len(arg))+" Characters"
if len(arg) == 0:
return("Type something to a quote")
else:
files = listdir(directory+"userquotes")
numb = 0
while True:
numb += 1
if sender.lower()+str(numb) in files:
pass
else:
save(directory+"userquotes/"+sender.lower()+str(numb),[arg,sender.lower()])
return("Saved as:"+sender.lower()+str(numb))
break
def mkquote(prefix, influx, sender, debug):
arg = influx[10 + len(prefix):]
if debug:
print sender + ":" + prefix + "makequote " + str(
len(arg)) + " Characters"
if len(arg) == 0:
return ("Type something to a quote")
else:
files = listdir(directory + "userquotes")
numb = 0
while True:
numb += 1
if sender.lower() + str(numb) in files:
pass
else:
save(directory + "userquotes/" + sender.lower() + str(numb),
[arg, sender.lower()])
return ("Saved as:" + sender.lower() + str(numb))
break
def updatebonds(accounts):
global total_bond_worth_issued
save_load.save(accounts)
try:
for item in accounts:
item = accounts[item]
total = 0
todelete = []
for bond in item.bonds:
i = bond
bond = item.bonds[bond]
a, didpayout = bond.update()
total += a
if didpayout:
todelete.append(i)
for i in item.bonds.copy():
if i in todelete:
print(f"deleted bond {i} from account {item.svid}")
del item.bonds[i]
if not total == 0:
svapi.sendtransaction(total, os.getenv("Issuer-SVID"),
item.svid)
except:
pass
from FMLformatter import formatter
from urllib2 import urlopen
try:
from hashlib import md5
except:
from md5 import md5
from save_load import save,load
import CORE_DATA
directory = CORE_DATA.directory
FML = urlopen("http://www.fmylife.com/random")
formatted = formatter(FML.read().split("\n"))
for Quote in formatted:
exact = Quote[:Quote.find("#")]
# print exact
save(directory+"fmlquotes/"+md5(exact).hexdigest()+".txt",exact)
def keyHandle(grid, pasy, pasx,next_lev,call): #pasy and pasx = spot to win #'call' does not do anything right now
while True:
if me.hp<=0:
break
i = input('\nAction: ')
if i == 'w' or i == 'W':
me.y+=yp
try:
print('You walk forward and see '+grid[me.y][me.x].pview, end='')
except:
me.y+=ym
print("Bonk! You can't go that way.")
elif i == 's' or i == 'S':
me.y+=ym
try:
if me.y>=0:
print('You take a few steps backward and turn around. You see '+grid[me.y][me.x].pview, end='')
else:
me.y+=yp
print("Bonk! You can't go that way!")
except:
me.y+=yp
print("Bonk! You can't go that way.")
elif i == 'd' or i == 'D':
me.x+=1
try:
print('You walk to the rightmost room and see '+grid[me.y][me.x].pview, end='')
except:
me.x-=1
print("Bonk! You can't go that way.")
elif i == 'a' or i == 'A':
me.x-=1
try:
if me.x>=0:
print('You turn around and walk to the left. In front of you, you see '+grid[me.y][me.x].pview, end='')
else:
me.x+=1
print("Bonk! You can't go that way.")
except:
me.x+=1
print("Bonk! You can't go that way.")
############
elif i == 'hp' or i == 'HP':
me.printHP()
elif i == 'h' or i == 'H':
print(helplist)
elif i == 'i' or i == 'I':
me.printInvent()
elif i == 'p' or i == 'P':
i = input('Welcome to the Player Editor!\nWhat would you like to change? (w = weapon, n = name) ')
if i == 'w':
ct = 0
for tp in range(0, len(me.invent)):
if me.invent[tp].name in weaponlist:
print(str(tp)+') '+me.invent[tp].name)
ct += 1
if ct == 0:
print('Sorry, you have no weapons in your inventory to choose from.')
else:
try:
i = input('Type weapon number: ')
old_weap = me.weapon
me.weapon = me.invent[int(i)]
del me.invent[int(i)]
me.invent.append(old_weap)
print('Weapon Changed!')
except:
print("That's not a number.")
elif i == 'n':
i = input('Type your name: ')
me.name = i
print('Name Changed!')
print('You: \n\nName: '+me.name+'\nHP: '+str(me.hp)+'\nWeapon: '+me.weapon.name)
elif i == 'xy':
print('\nX: '+str(me.x)+'\nY: '+str(me.y))
elif i == 'wallet':
print(str(me.wallet)+' Gold')
elif i == 'quit':
try:
i = input("Save first? (Y/n) ")
if i == 'Y' or i == 'y':
sl.save('saves/save1.txt','saves/save1inv.txt',me,village)
sys.exit()
except:
print("Save/Load not available")
sys.exit()
elif i == 'map':
mapg(grid)
else:
print('Huh?')
############
if grid[me.y][me.x].name in enemylist:#!= 'bspace':
if musc == True:
m_chan.pause()
s_chan.play(seffect2)
me.hp = atthandle(grid,me.x,me.y,me)
s_chan.stop()
m_chan.unpause()
else:
me.hp = atthandle(grid,me.x,me.y,me)
elif grid[me.y][me.x].name in itemlist:
inp = input(' Pick up? (Y/n) ')
if inp == 'Y' or inp == 'y':
if grid[me.y][me.x].name != 'Gold':
me.invent.append(grid[me.y][me.x])
else:
me.wallet += grid[me.y][me.x].amt
grid[me.y][me.x] = bspace5(me.x,me.y)
print('Item added to inventory')
elif grid[me.y][me.x].name in interlist:
me.wallet = grid[me.y][me.x].act(me)
elif grid[me.y][me.x].name == 'level':
print("")
print("-"*80)
if grid[me.y][me.x].num == 1 and grid[me.y][me.x].locked == False:
Adventure1(0,0,True)
elif grid[me.y][me.x].num == 2 and grid[me.y][me.x].locked == False:
Adventure2(0,0,True)
elif grid[me.y][me.x].num == 3 and grid[me.y][me.x].locked == False:
Adventure3(0,0,True)
elif grid[me.y][me.x].num == 4 and grid[me.y][me.x].locked == False:
Adventure4(0,0,True)
else:
print("That level is locked")
#add more for more levels
#music
if musc == True and m_chan.get_busy() == False:
randnum = random.randint(0,11)
m_chan.play(playlist[randnum])
if me.x == pasx and me.y == pasy:
print('')
print("-"*80)
me.hp = 100
me.x = 0
me.y = 0
if next_lev == 2:
village[5][1].locked = False
elif next_lev == 3:
village[5][2].locked = False
elif next_lev == 4:
village[5][3].locked = False#add more for more levels
print("LEVEL BEAT! NEXT LEVEL UNLOCKED!")
print("-"*80)
i = input('Continue story? (Y/n) ')
if i == 'Y' or i == 'y':
if next_lev == 2:
Adventure2(0,0,True)
elif next_lev == 3:
Adventure3(0,0,True)
elif next_lev == 4:
Adventure4(0,0,True)
elif next_lev == 5:
Adventure2(0,0,True)
elif next_lev == 6:
Adventure2(0,0,True)
elif next_lev == 7:
Adventure2(0,0,True)
else:
print('In the Village')
Village()
# Print model summary
print_model_summary(model)
# Train model
tbCallBack = TensorBoard(log_dir=outfolder,
histogram_freq=0,
write_graph=True,
write_images=True)
model.fit(x_train,
y_train,
validation_split=0.2,
epochs=25,
batch_size=250,
callbacks=[tbCallBack])
save(model, path=outfolder)
# Evaluate model
scores = evaluate_model(model, x_test, y_test)
# Print scores
print('\n\n')
print("Loss: ", backend.get_value(scores[0]))
print("Accuracy: ", backend.get_value(scores[1]) * 100, "%")
# # Create model and print to log file
# model = tanh_model()
# # model = relu_model()
# print_model_summary(model)
# # Train model
optimizer.zero_grad()
output = model.forward(flower_images)
loss = criterion(output, labels)
loss.backward()
optimizer.step()
running_loss += loss.item()
if steps % print_every == 0:
# Set model to evaluation mode, cancels the dropout to make sure the network is tested.
model.eval()
# Make sure the Tensor is not tracking operations on itself, to save memory.
with torch.no_grad():
valid_loss, accuracy = validation(model, validloader,
criterion)
print(
"Epoch: {}/{}".format(e + 1, epochs),
"Training Loss: {}".format(running_loss / print_every),
"Validation Loss: {}".format(valid_loss /
len(validloader)),
"Validation Accuracy: {:.3f}".format(accuracy /
len(validloader)))
running_loss = 0
model.train()
print("Time Elapsed for epoch: {:.3f} seconds".format(time.time() - start))
# saves the model to the specified directory, if none specified it defaults to checkpoint.pth
save_load.save(options.arch, model, options.save_dir)
