def __init__(self):
super(OptionsScreen, self).__init__()
self.font = utils.getFont('VolterGoldfish', 44)
self.infofont = utils.getFont('VolterGoldfish', 18)
self.keyfont = utils.getFont('VolterGoldfish', 24)
self.background = pygame.image.load("../img/backgrounds/options.png").convert()
self.soundBar = pygame.image.load("../img/backgrounds/soundBar.png").convert_alpha()
self.musicBar = pygame.image.load("../img/backgrounds/soundBar.png").convert_alpha()
self.keyImg = pygame.image.load("../img/backgrounds/key.png").convert_alpha()
self.volumeTest = pygame.mixer.Sound("../sounds/volumeTest.wav")
self.menuEntries = ["Music","Sound","Controls","Back"]
self.menuPositions = [(200,100),(200,200),(200,300),(200,500)]
self.menuChoice = 0
self.activeColor = THECOLORS["black"]
self.inactiveColor = THECOLORS["grey64"]
self.soundLevel = 0
if exist('soundLevel'):
self.soundLevel = load('soundLevel')
self.musicLevel = 0
if exist('musicLevel'):
self.musicLevel = load('musicLevel')
self.actionKeys = ['slow time','shield','trap','left','jump','right']
self.keys = ['w','x','c','<','^','>']
self.actionKeysPos = [(200,450),(330,450),(430,450),(530,450),(630,450),(730,450)]
def imwrite(path, data, data_format="byxc"):
if not exist(parent(path)):
mkdir(parent(path))
if data.ndim != 4:
raise ValueError("iomanager.imwrite: image's dimension is not 4d")
if data_format.lower() == "byxc":
pass
elif data_format.lower() == "bcyx":
data = np.transpose(data, (0, 3, 1, 2))
else:
raise ValueError(
'iomanager.imwrite: this data format is not supported. format:({})'
.format(data_format))
b, y, x, c = data.shape
if b != 1 or (c != 1 and c != 3 and c != 4):
raise ValueError(
"iomanager.imwrite: not appropriate b,y,x,c ({},{},{},{})".format(
b, y, x, c))
if c == 3 or c == 4:
img = np.clip((data[0] * 255), 0, 255).astype(np.uint8)
elif c == 1:
img = np.clip((data[0, :, :, 0] * 255), 0, 255).astype(np.uint8)
imageio.imsave(path, img)
def __init__(self, levelInd):
super(GameScreen, self).__init__()
self.fadeScreen = pygame.image.load("../img/backgrounds/blackscreen.png").convert()
self.font = getFont("VolterGoldfish", 20)
self.nextColorIcon = pygame.image.load("../img/hud/nextColor23.png").convert_alpha()
self.progressIcon = pygame.image.load("../img/hud/progress.png").convert_alpha()
self.timebar = pygame.image.load("../img/hud/timebar.png").convert_alpha()
self.shieldbar = pygame.image.load("../img/hud/shieldbar.png").convert_alpha()
self.lifebar_ = pygame.image.load("../img/hud/lifebar_.png").convert()
self.level = Level(levelInd)
self.camera = Camera(640, 800, 3200)
# running = True
self.retry = False
self.frame_number = 0
self.anims = []
self.stopDelay = 0
self.stopped = False
self.killFragments = []
self.dust = []
self.starting = True
self.ending = False
self.alpha = 255
# Music load
# pygame.mixer.music.load("../sounds/piano.wav")
# pygame.mixer.music.play(-1)
pygame.mixer.music.set_volume(0.5)
# Player
self.player = Player()
self.fire = Rect((0,3200),(800,5))
self.playerDown = False
self.answerPos = [(100,300),(100,400),(100,500)]
self.answerChoice = 0
self.activecolor = THECOLORS['white']
self.inactivecolor = THECOLORS['grey21']
if exist('powers'):
self.player.timePower, self.player.mines, self.player.shields = load('powers')
def get_dtd(file):
if file in files:
# static files
f = files[file]
else:
# dynamic generate files
f = {'lang': {'java': False, 'php': False}}
url = ''
# protocol
if exist(request.args.get('f')):
url += 'file'
elif exist(request.args.get('j')):
url += 'jar'
f['lang']['java'] = True
elif exist(request.args.get('p')):
url += 'php'
f['lang']['php'] = True
elif exist(request.args.get('ft')):
url += 'ftp'
else:
return "No url scheme specified."
url += '://'
if valid(request.args.get('fu')):
url += request.args.get('fu')
else:
return "No url content specified."
f['url'] = url
# language
if not f['lang']['java'] and not f['lang']['php']:
if exist(request.args.get('lj')):
f['lang']['java'] = True
elif exist(request.args.get('lp')):
f['lang']['php'] = True
elif exist(request.args.get('lpb')):
f['lang']['php'] = True
f['base64'] = True
else:
return "No language specified."
f['domain'] = host
f['port'] = port
return render_template('dtd.html', file=f)
def latest_idx(fdir, fname, fext="pth", pattern=None):
"""
:param fdir: 모델이 저장된 폴더
:param fname: iteration 번호를 제외한 model 이름
:param fext: 확장자
:param pattern: model 이름 패턴. 기본적으로는 ".*{}-(\d+).{}$".format(join(fdir, fname, fext)) 형태
:return: 해당 파일이 있으면 iteration 인덱스를 줌, 없으면 None
"""
# 경로 없으면 None
if not exist(fdir):
return None
# 폴더인지 여부
if not is_dir(fdir):
raise ValueError("pc6.util_pt.saver.latest_idx: path ({}) not dir".format(fdir))
# 인덱스 찾아서 리턴
files, idxs = ls_model(fdir, fname, fext, pattern=pattern)
if len(idxs) == 0:
return None
else:
return idxs[-1]
def gaVRPTW(instName,
unitCost,
initCost,
waitCost,
delayCost,
indSize,
popSize,
cxPb,
mutPb,
NGen,
exportCSV=False,
customizeData=False):
if customizeData:
jsonDataDir = os.path.join(BASE_DIR, 'data', 'json_customize')
else:
jsonDataDir = os.path.join(BASE_DIR, 'data', 'json')
jsonFile = os.path.join(jsonDataDir, '%s.json' % instName)
with open(jsonFile) as f:
instance = load(f)
creator.create('FitnessMax', base.Fitness, weights=(1.0, ))
creator.create('Individual', list, fitness=creator.FitnessMax)
toolbox = base.Toolbox()
# Attribute generator
toolbox.register('indexes', random.sample, range(1, indSize + 1), indSize)
# Structure initializers
toolbox.register('individual', tools.initIterate, creator.Individual,
toolbox.indexes)
toolbox.register('population', tools.initRepeat, list, toolbox.individual)
# Operator registering
toolbox.register('evaluate',
evalVRPTW,
instance=instance,
unitCost=unitCost,
initCost=initCost,
waitCost=waitCost,
delayCost=delayCost)
toolbox.register('select', tools.selRoulette)
toolbox.register('mate', cxPartialyMatched)
toolbox.register('mutate', mutInverseIndexes)
pop = toolbox.population(n=popSize)
# Results holders for exporting results to CSV file
csvData = []
print 'Start of evolution'
# Evaluate the entire population
fitnesses = list(map(toolbox.evaluate, pop))
for ind, fit in zip(pop, fitnesses):
ind.fitness.values = fit
print ' Evaluated %d individuals' % len(pop)
# Begin the evolution
for g in range(NGen):
print '-- Generation %d --' % g
# Select the next generation individuals
offspring = toolbox.select(pop, len(pop))
# Clone the selected individuals
offspring = list(map(toolbox.clone, offspring))
# Apply crossover and mutation on the offspring
for child1, child2 in zip(offspring[::2], offspring[1::2]):
if random.random() < cxPb:
toolbox.mate(child1, child2)
del child1.fitness.values
del child2.fitness.values
for mutant in offspring:
if random.random() < mutPb:
toolbox.mutate(mutant)
del mutant.fitness.values
# Evaluate the individuals with an invalid fitness
invalidInd = [ind for ind in offspring if not ind.fitness.valid]
fitnesses = map(toolbox.evaluate, invalidInd)
for ind, fit in zip(invalidInd, fitnesses):
ind.fitness.values = fit
print ' Evaluated %d individuals' % len(invalidInd)
# The population is entirely replaced by the offspring
pop[:] = offspring
# Gather all the fitnesses in one list and print the stats
fits = [ind.fitness.values[0] for ind in pop]
length = len(pop)
mean = sum(fits) / length
sum2 = sum(x * x for x in fits)
std = abs(sum2 / length - mean**2)**0.5
print ' Min %s' % min(fits)
print ' Max %s' % max(fits)
print ' Avg %s' % mean
print ' Std %s' % std
# Write data to holders for exporting results to CSV file
if exportCSV:
csvRow = {
'generation': g,
'evaluated_individuals': len(invalidInd),
'min_fitness': min(fits),
'max_fitness': max(fits),
'avg_fitness': mean,
'std_fitness': std,
}
csvData.append(csvRow)
print '-- End of (successful) evolution --'
bestInd = tools.selBest(pop, 1)[0]
#print 'Best individual: %s' % bestInd
#print 'Fitness: %s' % bestInd.fitness.values[0]
#printRoute(ind2route(bestInd, instance))
#print 'Total cost: %s' % (1 / bestInd.fitness.values[0])
# We need returning json, not print on console and/or writing csv
return_json = {}
our_order = bestInd[:]
return_json['order'] = order_map(our_order)
return_json['route'] = route_map(ind2route(bestInd, instance))
return_json['Fitness'] = bestInd.fitness.values[0]
return_json['cost'] = 1 / bestInd.fitness.values[0]
return return_json
if exportCSV:
csvFilename = '%s_uC%s_iC%s_wC%s_dC%s_iS%s_pS%s_cP%s_mP%s_nG%s.csv' % (
instName, unitCost, initCost, waitCost, delayCost, indSize,
popSize, cxPb, mutPb, NGen)
csvPathname = os.path.join(BASE_DIR, 'results', csvFilename)
print 'Write to file: %s' % csvPathname
makeDirsForFile(pathname=csvPathname)
if not exist(pathname=csvPathname, overwrite=True):
with open(csvPathname, 'w') as f:
fieldnames = [
'generation', 'evaluated_individuals', 'min_fitness',
'max_fitness', 'avg_fitness', 'std_fitness'
]
writer = DictWriter(f, fieldnames=fieldnames, dialect='excel')
writer.writeheader()
for csvRow in csvData:
writer.writerow(csvRow)
