def get_two_players(strat1, strat2):
params1 = {'marker': 'red', 'strategy': strat1}
params2 = {'marker': 'blue', 'strategy': strat2}
pl1 = Interaction.Player(params1)
pl2 = Interaction.Player(params2)
return pl1, pl2
def draw(canvas):
global interactions, addedInteractions, numberOfPlatforms, madeGoat, framecount
lv1background.update(canvas)
platforms.draw(canvas)
if not addedInteractions:
for i in range(len(platforms.getCoords())):
interaction = Interaction(player1, platforms.coords[i])
interactions.append(interaction)
addedInteractions = True
for i in range(len(platforms.getCoords())):
platforms.coords[i].p1 = Vector(
platforms.coords[i].getp1().getP()[0],
platforms.coords[i].getp1().getP()[1] + 1)
platforms.coords[i].p2 = Vector(
platforms.coords[i].getp2().getP()[0],
platforms.coords[i].getp2().getP()[1] + 1)
tempPlatform = Platform2(0)
if platforms.coords[i].p1.y > 700:
platforms.coords.pop(i)
if i > 1:
while not (abs(tempPlatform.getx1() -platforms.coords[i-1].getx1()) > platforms.DISTANCE*platforms.difficulty or \
abs(tempPlatform.getx2() - platforms.coords[i - 1].getx2()) > platforms.DISTANCE * platforms.difficulty):
tempPlatform = Platform2(0)
platforms.coords.insert(i, tempPlatform)
tempInteraction = Interaction(player1, tempPlatform)
else:
tempInteraction = Interaction(player1, platforms.coords[i])
interactions.pop(i)
interactions.insert(i, tempInteraction)
numberOfPlatforms += 1
if numberOfPlatforms % 5 == 0 and not madeGoat: #numberOfPlatforms % 5 == 0 and not madeGoat
makeGoat(platforms.coords[len(platforms.coords) - 1])
madeGoat = True
for j in range(len(monsters)):
if platforms.coords[i] == monsters[j].platform:
monsters[j].pos = Vector(
monsters[j].pos.x,
platforms.coords[i].p1.y - platforms.coords[i].thickness -
monsters[j].frameHeight / 2)
monsters[j].update(canvas)
if monsters[j].pos.y > 630:
monsters.pop(j)
madeGoat = False
framecount += 1
for i in range(len(interactions)):
if platforms.coords[i].covers(player1.pos):
interactions[i].update()
platforms.draw(canvas)
player1.update(canvas)
def start(mode):
if mode == 0:
print('Create mode feture')
tname = input('Table name:')
source = input('Source file name:')
cfg.initTable(tname, source)
else:
tname = cfg.modules[mode - 1]
action.go(tname)
def makeChild(self,parentconf,frame=1,usetype='all',makeCellList = True, redobox=False): self.debug = parentconf.debug self.param = parentconf.param # Single frame for the child self.multiopt = "single" # And we have already narrowed down to the types we are looking for self.usetype = "all" self.sigma = parentconf.sigma self.monodisperse = parentconf.monodisperse if parentconf.multiopt=="single": useparts = parentconf.getUseparts(usetype) self.N = len(useparts) self.rval = parentconf.rval[useparts,:] self.vval = parentconf.vval[useparts,:] self.nval = parentconf.nval[useparts,:] self.radius = parentconf.radius[useparts] self.ptype = parentconf.ptype[useparts] self.flag = parentconf.flag[useparts] else: useparts = parentconf.getUseparts(usetype,frame) self.N = len(useparts) self.rval = parentconf.rval[frame,useparts,:] self.vval = parentconf.vval[frame,useparts,:] self.nval = parentconf.nval[frame,useparts,:] self.radius = parentconf.radius[frame,useparts] self.ptype = parentconf.ptype[frame,useparts] self.flag = parentconf.flag[frame,useparts] # For defect tracking vnorm = np.sqrt(self.vval[:,0]**2 + self.vval[:,1]**2+self.vval[:,2]**2) self.vhat = self.vval / np.outer(vnorm,np.ones((3,))) # Generating new interaction assuming that it's not monodisperse and contains a single k #def __init__(self,param,sigma,ignore=False,debug=False): self.inter=Interaction(self.param,self.sigma,False,True) #self.geom=geometries[param.constraint](param) #self.inter = parentconf.inter self.geom = parentconf.geom if makeCellList: if redobox: rmin = np.zeros((3,)) rmax = np.zeros((3,)) rmin[0] = np.amin(self.rval[:,0])-self.sigma rmin[1] = np.amin(self.rval[:,1])-self.sigma rmin[2] = np.amin(self.rval[:,2])-self.sigma rmax[0] = np.amax(self.rval[:,0])+self.sigma rmax[1] = np.amax(self.rval[:,1])+self.sigma rmax[2] = np.amax(self.rval[:,2])+self.sigma self.makeCellList(1,rmin,rmax) # def makeCellList(self,frame=1,rmin='default',rmax='default'): else: self.makeCellList(1)
def draw(canvas):
global interactions , addedInteractions, numberOfPlatforms , framecount,numberOfGoats,goats
lv1background.update(canvas)
platforms.draw(canvas)
if not addedInteractions:
for i in range(len(platforms.getCoords()) ):
interaction = Interaction(player1, platforms.coords[i])
interactions.append(interaction)
addedInteractions = True
for i in range(len(platforms.getCoords())):
platforms.coords[i].p1 = Vector(platforms.coords[i].getp1().getP()[0],platforms.coords[i].getp1().getP()[1] + 1)
platforms.coords[i].p2 = Vector(platforms.coords[i].getp2().getP()[0],platforms.coords[i].getp2().getP()[1] + 1)
tempPlatform = Platform2(0)
if platforms.coords[i].p1.y > 700:
platforms.coords.pop(i)
if i > 1:
while not (abs(tempPlatform.getx1() -platforms.coords[i-1].getx1()) > platforms.DISTANCE*platforms.difficulty or \
abs(tempPlatform.getx2() - platforms.coords[i - 1].getx2()) > platforms.DISTANCE * platforms.difficulty):
tempPlatform = Platform2(0)
platforms.coords.insert(i,tempPlatform)
tempInteraction = Interaction(player1, tempPlatform)
else:
tempInteraction = Interaction(player1, platforms.coords[i])
interactions.pop(i)
interactions.insert(i,tempInteraction)
if random.randint(0,1) > 0.5 and numberOfGoats<3 and platforms.coords[i].p1.y < player1.pos.y: #numberOfPlatforms % 5 == 0 and not madeGoat
makeGoat(platforms.coords[i])
numberOfGoats+=1
madeGoat = True
#print("len monsters:",len(monsters))
monstersToPop = []
for j in range(len(goats)):
print("len monsters:",len(goats))
if platforms.coords[i] ==goats[j].platform:
goats[j].pos = Vector(goats[j].pos.x,platforms.coords[i].p1.y-platforms.coords[i].thickness-goats[j].frameHeight/2)
goats[j].update(canvas)
#print("pos y:",monsters[j].pos.y)
if goats[j].pos.y > 630:
monstersToPop.append(goats[j])
numberOfGoats-=1
print("monsters to pop:",monstersToPop)
for j in range(len(monstersToPop)):
goats.remove(monstersToPop[j])
framecount += 1
for i in range(len(interactions)):
if platforms.coords[i].covers(player1.pos):
interactions[i].update()
platforms.draw(canvas)
player1.update(canvas)
def draw(canvas):
global interactions, addedInteractions
platforms.draw(canvas)
if not addedInteractions:
for i in range(len(platforms.getCoords())):
interaction = Interaction(player1, platforms.coords[i])
interactions.append(interaction)
addedInteractions = True
#platform2.draw(canvas)
for i in range(len(platforms.getCoords())):
platforms.coords[i].p1 = Vector(
platforms.coords[i].getp1().getP()[0],
platforms.coords[i].getp1().getP()[1] + 1)
platforms.coords[i].p2 = Vector(
platforms.coords[i].getp2().getP()[0],
platforms.coords[i].getp2().getP()[1] + 1)
#print("platform: ",platforms.coords[i])
tempPlatform = Platform2(0)
if platforms.coords[i].p1.getP()[1] > 700:
platforms.coords.pop(i)
if i > 1:
while not (abs(tempPlatform.getx1() -platforms.coords[i-1].getx1()) > platforms.DISTANCE*platforms.difficulty or \
abs(tempPlatform.getx2() - platforms.coords[i - 1].getx2()) > platforms.DISTANCE * platforms.difficulty):
tempPlatform = Platform2(0)
platforms.coords.insert(i, tempPlatform)
tempInteraction = Interaction(player1, tempPlatform)
else:
tempInteraction = Interaction(player1, platforms.coords[i])
interactions.pop(i)
interactions.insert(i, tempInteraction)
#print("inserted new interaction:",platforms.coords[i])
for i in range(len(interactions)):
# print(len(interactions))
# print("coords: ",len(platforms.coords))
#print(platforms.coords[i].covers(player1.pos))
#print(player1.pos.getP()[1]-player1.frameHeight/2<platforms.coords[i].p1.getP()[1]) and pos.getP()[1]<self.yCoord //and player1.pos.getP()[1]-player1.frameHeight<platforms.coords[i].p1.getP()[1]
#distPlayerPlat = platforms.coords[i].p1.getP()[1] - player1.pos.getP()[1]-player1.frameHeight
if platforms.coords[i].covers(
player1.pos
): #and player1.pos.getP()[1]-player1.frameHeight<platforms.coords[i].p1.getP()[1]:
interactions[i].update()
#print("i: ",i)
#canvas.draw_line(player1.getCoordinates().getP(),platform2.p1.getP(),3,"blue")
#canvas.draw_line(player1.getCoordinates().getP(),platform2.p2.getP(),3,"blue")
platforms.draw(canvas)
#canvas.draw_line((player1.getCoordinates() + Vector(0,player1.frameHeight/2)).getP(),(abs(platform2.p2.x - platform2.p1.x),platform2.p1.y),3,"yellow")
#platform1.draw(canvas)
#player2.update(canvas)
player1.update(canvas)
def fromPython(self,param,rval,vval,nval,radius,ptype,flag,makeCellList=True,redobox=False):
self.debug = False
self.param = param
self.multiopt = "single"
self.usetype = "all"
self.rval = rval
self.vval = vval
self.nval = nval
self.radius = radius
self.ptype = ptype
self.flag = flag
# For defect tracking
vnorm = np.sqrt(self.vval[:,0]**2 + self.vval[:,1]**2+self.vval[:,2]**2)
self.vhat = self.vval / np.outer(vnorm,np.ones((3,)))
self.N = len(radius)
self.sigma = np.mean(radius)
print("New sigma is " + str(self.sigma))
self.monodisperse = False
# Generating new interaction assuming that it's not monodisperse and contains a single k
#def __init__(self,param,sigma,ignore=False,debug=False):
self.inter=Interaction(self.param,self.sigma,True,False)
print (param.box)
self.geom=geometries[param.constraint](param)
if makeCellList:
# Cut off the boxes. Curently only on minimal z, for cornea. Others is less of a problem
#if self.geom.manifold == 'sphere':
# zmin = np.amin(self.rval[:,2])-self.sigma
#else:
# zmin = 'all'
if redobox:
rmin = np.zeros((3,))
rmax = np.zeros((3,))
rmin[0] = np.amin(self.rval[:,0])-self.sigma
rmin[1] = np.amin(self.rval[:,1])-self.sigma
rmin[2] = np.amin(self.rval[:,2])-self.sigma
rmax[0] = np.amax(self.rval[:,0])+self.sigma
rmax[1] = np.amax(self.rval[:,1])+self.sigma
rmax[2] = np.amax(self.rval[:,2])+self.sigma
# def makeCellList(self,frame=1,rmin='default',rmax='default'):
self.makeCellList(1,rmin,rmax)
else:
self.makeCellList(1)
def test_manager(self):
pl1, pl2 = get_two_players({
'red': 0,
'blue': 1
}, {
'red': 1,
'blue': 1
})
interact = Interaction.Interaction(self.table)
interact.interact(pl1, pl2)
players = [pl1, pl2]
Uni = Interaction.Universe(players, interact)
manag = manager.Manager(Uni)
manag.plot_and_update()
def __init__(self, fn='Text/nhk_easy.txt'):
self.articles = SimpleUI.read_articles(fn)
self.all_wordlist = []
self.all_uniq_wordlist = []
for a in self.articles.values():
self.all_wordlist += a.wordlist
self.all_wordlist = sorted(self.all_wordlist)
self.all_uniq_wordlist = list(set(self.all_wordlist))
self.word_index = {self.all_uniq_wordlist[i]:i for i in xrange(len(self.all_uniq_wordlist))}
#zipf = {w:self.all_wordlist.count(w) for w in self.all_uniq_wordlist}
#print sorted(zipf.values())
#print sum([len(a.wordlist) for a in self.articles]), len(self.all_wordlist)
self.recommender = MasteryRecommender()
self.hci = Interaction(self)
print 'Edge Density:', self.hci.knowledge.EdgeDensity()
self.display_article = 0
def grafic_average(a, s):
file = 'account_results.csv'
# cria listas para os resultados
ag_list = []
sh_list = []
fun_list = []
if os.path.exists(file):
os.remove(file)
with open(file, 'a') as f:
f.write('n_agentes; n_lojas; satisfacao media; custo medio das lojas, media das contas das lojas e a media'
'das contas dos agentes\n')
for i in range(len(a)) and range(len(s)):
# cria lista de resultados para o gráfico
agent, shop = Interaction.main(a[i], s[i])
avg_fun = sum([i.fun for i in agent]) / len(agent)
avg_cost = sum([i.cost for i in shop]) / len(shop)
avg_shop = sum([i.account.balance for i in shop]) / len(shop)
avg_agent = sum([i.account.balance for i in agent]) / len(agent)
f.write('{}; {}; {:.2f}; {:.2f}; {:.2f}; {:.2f}'.format(a[i], s[i], avg_fun, avg_cost, avg_shop, avg_agent))
f.write('\n')
fun_list.append(avg_fun)
ag_list.append(avg_agent)
sh_list.append(avg_shop)
# cria o gráfico
plt.plot(a, fun_list, color='#17a589', label='satisfação média')
plt.plot(a, ag_list, color='red', label='Saldo médio das contas dos agente')
plt.plot(a, sh_list, color='#f4d03f', label='Saldo médio das contas das lojas')
plt.legend(loc='right', shadow=True)
plt.xlabel('número de agentes')
plt.show()
def draw(canvas):
global interactions, addedInteractions
lv1.update(canvas)
platforms.draw(canvas)
if not addedInteractions:
for i in range(len(platforms.getCoords())):
interaction = Interaction(player1, platforms.coords[i])
interactions.append(interaction)
addedInteractions = True
for i in range(len(platforms.getCoords())):
platforms.coords[i].p1 = Vector(
platforms.coords[i].getp1().getP()[0],
platforms.coords[i].getp1().getP()[1] + 0.5)
platforms.coords[i].p2 = Vector(
platforms.coords[i].getp2().getP()[0],
platforms.coords[i].getp2().getP()[1] + 0.5)
tempPlatform = Platform2(0)
if platforms.coords[i].p1.getP()[1] > 700:
platforms.coords.pop(i)
if i > 1:
while not (abs(tempPlatform.getx1() - platforms.coords[
i - 1].getx1()) > platforms.DISTANCE * platforms.difficulty or \
abs(tempPlatform.getx2() - platforms.coords[
i - 1].getx2()) > platforms.DISTANCE * platforms.difficulty):
tempPlatform = Platform2(0)
platforms.coords.insert(i, tempPlatform)
tempInteraction = Interaction(player1, tempPlatform)
else:
tempInteraction = Interaction(player1, platforms.coords[i])
interactions.pop(i)
interactions.insert(i, tempInteraction)
for i in range(len(interactions)):
if platforms.coords[i].covers(player1.pos):
interactions[i].update()
# print("i: ",i)
platforms.draw(canvas)
player1.update(canvas)
def __init__(self,
globalWorkingDir,
localWorkingDir,
pilotJob=None,
rank=None,
nonMPIMode=False,
outputDir=None,
dumpEventOutputs=False):
threading.Thread.__init__(self)
self.globalWorkingDir = globalWorkingDir
self.localWorkingDir = localWorkingDir
self.currentDir = None
# communication channel
self.comm = Interaction.Receiver(rank=rank, nonMPIMode=nonMPIMode)
self.rank = self.comm.getRank()
# database backend
self.db = Database.Backend(self.globalWorkingDir)
# logger
self.tmpLog = Logger.Logger(filename='Yoda.log')
self.tmpLog.info("Global working dir: %s" % self.globalWorkingDir)
self.initWorkingDir()
self.tmpLog.info("Current working dir: %s" % self.currentDir)
self.failed_updates = []
self.outputDir = outputDir
self.dumpEventOutputs = dumpEventOutputs
self.pilotJob = pilotJob
self.cores = 10
self.jobs = []
self.jobRanks = []
self.readyEventRanges = []
self.runningEventRanges = {}
self.finishedEventRanges = []
self.readyJobsEventRanges = {}
self.runningJobsEventRanges = {}
self.finishedJobsEventRanges = {}
self.stagedOutJobsEventRanges = {}
self.updateEventRangesToDBTime = None
self.jobMetrics = {}
self.jobsTimestamp = {}
self.jobsRuningRanks = {}
signal.signal(signal.SIGTERM, self.stop)
signal.signal(signal.SIGQUIT, self.stop)
signal.signal(signal.SIGSEGV, self.stop)
signal.signal(signal.SIGXCPU, self.stop)
signal.signal(signal.SIGUSR1, self.stop)
signal.signal(signal.SIGBUS, self.stop)
def attack(self, gameStateObj):
if self.target_to_interact_with:
if self.item_to_use:
if self.item_to_use in self.unit.items:
self.unit.equip(self.item_to_use)
if self.item_to_use.weapon or self.item_to_use.spell:
self.unit.displaySingleAttack(gameStateObj, self.target_to_interact_with, self.item_to_use)
defender, splash = Interaction.convert_positions(gameStateObj, self.unit, self.unit.position, self.target_to_interact_with, self.item_to_use)
# print('AI', self.unit, defender, self.unit.position, defender.position)
gameStateObj.combatInstance = Interaction.start_combat(gameStateObj, self.unit, defender, self.target_to_interact_with, splash, self.item_to_use, ai_combat=True)
gameStateObj.stateMachine.changeState('combat')
if isinstance(defender, UnitObject.UnitObject) and self.unit.checkIfEnemy(defender):
self.unit.handle_fight_quote(defender, gameStateObj)
elif 'steal' in self.unit.status_bundle:
unit = gameStateObj.get_unit_from_pos(self.target_to_interact_with)
unit.remove_item(self.item_to_use)
self.unit.add_item(self.item_to_use)
# Make most recently acquired item droppable
if self.unit.team != 'player':
for item in self.unit.items:
item.droppable = False
self.item_to_use.droppable = True
self.unit.handle_steal_banner(self.item_to_use, gameStateObj)
else:
tile_info = gameStateObj.map.tile_info_dict[self.target_to_interact_with]
tile = gameStateObj.map.tiles[self.target_to_interact_with]
if 'Enemy_Seize' in tile_info:
if self.unit.position != self.target_to_interact_with:
return # Didn't actually reach Seize point
self.unit.seize(gameStateObj)
elif 'Destructible' in tile_info:
gameStateObj.map.destroy(tile, gameStateObj)
elif 'Locked' in tile_info:
self.unit.unlock(self.target_to_interact_with, gameStateObj)
elif 'Escape' or 'Thief_Escape' in tile_info:
if self.unit.position != self.target_to_interact_with:
return # Didn't actually reach ThiefEscape point
self.unit.escape(gameStateObj)
def test_wealth_growth_nd(self):
pl1, pl2 = get_two_players({
'red': 0,
'blue': 0
}, {
'red': 1,
'blue': 1
})
interact = Interaction.Interaction(self.table)
interact.interact(pl1, pl2)
new_wealth_pl1 = pl1.wealth
new_wealth_pl2 = pl2.wealth
self.assertEqual(new_wealth_pl1, self.table[0, 1])
self.assertEqual(new_wealth_pl2, self.table[1, 0])
def __init__(self, globalWorkingDir, localWorkingDir):
self.globalWorkingDir = globalWorkingDir
self.localWorkingDir = localWorkingDir
self.currentDir = None
# communication channel
self.comm = Interaction.Receiver()
self.rank = self.comm.getRank()
# database backend
self.db = Database.Backend(self.globalWorkingDir)
# logger
self.tmpLog = Logger.Logger()
self.tmpLog.info("Global working dir: %s" % self.globalWorkingDir)
self.initWorkingDir()
self.tmpLog.info("Current working dir: %s" % self.currentDir)
self.failed_updates = []
signal.signal(signal.SIGTERM, self.stop)
def __init__(self, gameStateObj, upkeep=True):
# Initial setup
self.upkeep = upkeep # Whether I'm running this on upkeep or on endstep
self.current_phase = gameStateObj.phase.get_current_phase()
self.previous_phase = gameStateObj.phase.get_previous_phase()
affected_units = [
unit for unit in gameStateObj.allunits
if unit.position and unit.status_effects
]
if self.upkeep:
self.units = [
unit for unit in affected_units
if unit.team == self.current_phase
]
else:
self.units = [
unit for unit in affected_units
if unit.team == self.previous_phase
]
logger.info('Building Status_Processor: %s %s %s', self.upkeep,
self.current_phase, self.previous_phase)
# State control
self.current_unit = None
self.current_unit_statuses = []
self.current_status = None
self.status_index = 0
self.state = CustomObjects.StateMachine('begin')
self.state_buffer = False
# Animation properties
self.time_spent_on_each_status = 1200 # Only if it has a onetime animation
self.start_time_for_this_status = Engine.get_time()
# Health bar
self.health_bar = Interaction.HealthBar('splash', None, None)
# Waiting timer
self.wait_time = 200
self.started_waiting = Engine.get_time()
def determine_utility(self, move, target, item, gameStateObj):
defender, splash = Interaction.convert_positions(gameStateObj, self.unit, move, target, item)
if defender or splash:
# if QUICK_MOVE and self.unit.position != move: # Just in case... This is needed!
# self.quick_move(move, gameStateObj, test=True)
if item.spell:
tp = self.compute_priority_spell(defender, splash, move, item, gameStateObj)
elif item.weapon:
tp = self.compute_priority_weapon(defender, splash, move, item, gameStateObj)
else:
tp = self.compute_priority_item(defender, splash, move, item, gameStateObj)
unit = gameStateObj.get_unit_from_pos(target)
if unit:
name = unit.name
else:
name = '--'
logger.debug("Choice %s - Weapon: %s, Position: %s, Target: %s, Target's Position: %s", tp, item.name, move, name, target)
if tp > self.max_tp:
self.target_to_interact_with = target
self.position_to_move_to = move
self.item_to_use = item
self.max_tp = tp
from Interaction import *
hci = Interaction("Genki12")
while True:
response = hci.request()
if response.end_of_assessment:
print 'end'
break
else:
print hci.num_assessment_answered + 1, '.', response.mastery_iter.sentence, response.message
ans = input()
if ans == 1:
hci.response(StudentResponse.UNDERSTOOD)
elif ans == 0:
hci.response(StudentResponse.NOT_UNDERSTOOD)
def GetFile(subtitle_file_io, path, file_name):
"""
Get subtitle file from BytesIO object. subtitle_file_io is file like
object that contains either a single subtitle file or a zip file.
path specify the directory in whice the subtitle will be saved. The
file_name specify the name for the subtitle. If the subtitle_file_io is
a zip file, will extract all the subtitles under it, otherwise, will
save the file in the given location.
Note: will use the original name if:
a. file_name is empty
b. there is more then one file in the archive
In case of success, returns true, else false
"""
from Logs import INFO as INFO_LOGS
from Logs import WARN as WARN_LOGS
from Logs import DIRECTION as DIRC_LOGS
import Interaction
writeLog = Interaction.getInteractor().writeLog
is_success = False
subtitle_directory = os.path.abspath(path)
subtitle_full_path = os.path.join(subtitle_directory, file_name)
writeLog(INFO_LOGS.STARTING_SUBTITLE_DOWNLOAD_PROCEDURE)
writeLog(INFO_LOGS.DESTINATION_DIRECTORY_FOR_SUBTITLE % subtitle_directory)
file_is_zip = zipfile.is_zipfile(subtitle_file_io)
if file_is_zip:
try:
with zipfile.ZipFile(subtitle_file_io, "r") as zfile:
# Get the file names of the subtitles in the archive.
# Filtering out any other file types
filter_func = lambda x: x.lower().endswith(tuple(GetSubtitlesExtensions()))
sub_filenames = myfilter(filter_func, zfile.namelist())
if not sub_filenames:
writeLog(WARN_LOGS.NO_SUBTITLE_FILES_IN_THE_ARCHIVE)
else:
# If we have more than one subtitle file in the archive, we
# keep the original filenames that comes with the archive)
if len(sub_filenames) > 1:
writeLog(INFO_LOGS.GOT_SEVERAL_FILES_IN_THE_ARCHIVE)
for file_name in sub_filenames:
# Write the file with the original filename
file_path = os.path.join(subtitle_directory, file_name)
open(file_path, "wb").write(zfile.open(file_name).read())
writeLog(INFO_LOGS.EXTRACTED_SUBTITLE_FILE % file_name)
else:
# If the file_name was empty, we keep the original also
if not file_name:
subtitle_full_path = os.path.join(subtitle_directory, sub_filenames[0])
sub_content = zfile.open(sub_filenames[0]).read()
open(subtitle_full_path, "wb").write(sub_content)
writeLog(INFO_LOGS.EXTRACTED_SUBTITLE_FILE % subtitle_full_path)
# Notify successful extraction
writeLog(INFO_LOGS.SUCCESSFULL_EXTRACTION_FROM_ARCHIVE)
is_success = True
except Exception as eX:
WriteDebug("Failed constructing ZipFile object: %s" % eX)
writeLog(WARN_LOGS.FAILED_EXTRACTING_SUBTITLE_FILE_FROM_ARCHIVE)
# If the file is simple subtitle text file
else:
try:
with open(subtitle_full_path, "wb") as sub_file:
subtitle_file_io.seek(0)
content = subtitle_file_io.getvalue()
sub_file.write(content)
except Exception as eX:
WriteDebug("Failed saving subtitle as simple text file: %s" % eX)
writeLog(WARN_LOGS.FAILED_SAVING_SUBTITLE_SIMPLE_FILE)
is_success = True
return is_success
#!/usr/bin/env python
import roslib
roslib.load_manifest('pr2_pbd_interaction');
import sys
import signal
import rospy
from Interaction import *
def signal_handler(signal, frame):
# The following makes sure the state of a user study is saved, so that it can be recovered
global interaction
interaction.save_experiment_state()
print 'Program Terminated!!'
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGQUIT, signal_handler)
if __name__ == "__main__":
global interaction
rospy.init_node('pr2_pbd_interaction', anonymous=True)
interaction = Interaction()
#rospy.spin()
while(not rospy.is_shutdown()):
interaction.update()
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 22 10:41:10 2016
@author: Lina492375qW1188
"""
import Create, Deform, Interaction, Construct
#----------------- Number of atom ------------------#
xmax = 150 # num of atoms in x-dir = (2*xmax+1, 2*xmax)
ymax = 50 # num of atoms in y-dir = ymax*4
#----------------- Initialization ------------------#
create = Create.Create(xmax,ymax)
deform = Deform.Deform()
interaction = Interaction.Interaction(create.ymax)
infile='data.unknown'
construct = Construct.Construct(infile)
#---------- Rolling, Set bond and angle ------------#
# action choices: (a)create plane (b)create paper roll.
action = '(b)'
if action == '(a)':
coord1 = create.trigonal()
elif action == '(b)':
coord1 = deform.rolling(create.trigonal())
bond1 = interaction.bond(coord1)
angle1 = interaction.angle(coord1)
def Game(x, y):
os.system("cls")
varRand = randint(1, 4)
print(' ')
print(x, y)
Description(x, y, descriptionMap)
print(' ')
print("1 = Intéragir")
print("2 = Se déplacer")
print("3 = Ouvrir son inventaire")
print("4 = Ouvrir la MAP")
print("5 = Voir la quête en cours")
print("6 = Vos stats")
print("7 = Sauvegarder")
joueur = int(input())
if joueur == 1:
if str(x) + "," + str(y) in interaction:
if interaction[str(x) + "," + str(y)][4] == "oui":
Interaction(x, y, backpack)
Game(x, y)
else:
print("Il n'y a pas d'interaction possible ici")
Game(x, y)
else:
print("Il n'y a pas d'interaction possible ici")
Game(x, y)
elif joueur == 2:
print("Vous vous déplacez.")
m = Mouvement(x, y)
if varRand == 3:
c = Combat(OrdreDePassage(PickAMonster()))
if c == "perdu":
quit()
AjouterInventaire(backpack, "300", "argent")
Game(m[0], m[1])
elif joueur == 3:
test = False
while test == False:
print(
"Vous êtes dans votre sac magique, veuillez choisir l'une des sacoches :"
)
print("1 = La sacoche à potions")
print("2 = La sacoche à équipements")
print("3 = La sacoche d'objets de quête")
print("4 = Votre bourse d'argent")
print("5 = Retour")
b = int(input())
test = ParcourirInventaire(backpack, b)
Game(x, y)
elif joueur == 4:
fenetre = tk.Tk()
photo = tk.PhotoImage(file='MapPrologue.png')
label = tk.Label(fenetre, image=photo)
label.pack()
print("FERMER LA MAP AVANT TOUTE AUTRE ACTION OU LE JEU CRASHERA")
Game(x, y)
fenetre.mainloop()
elif joueur == 5:
print(dicoQueteActive["g"])
Game(x, y)
elif joueur == 6:
VoirStat()
attendre = input()
Game(x, y)
elif joueur == 7:
Save(x, y, backpack)
Game(x, y)
else:
print("Vous avez mal tapé ! Veuillez recommencer.")
Game(
x,
y,
)
def home_data():
action = request.form['submit']
if action == "infer":
info = {}
info['weather'] = request.form.get("weather")
info['temperature'] = request.form.get("temperature")
info['humidity'] = request.form.get("humidity")
info['wind'] = request.form.get("wind")
info['gender'] = request.form.get("gender")
info['cold'] = request.form.get("cold")
info['style'] = request.form.get("style")
ret = Interaction.GetRet(info)
return render_template('index.html',
Suggestion=ret[0],
Rules=ret[1],
Description=ret[2])
elif action == "all_check":
with open("rules/rules.txt") as f:
rules = f.read()
return render_template('index.html', all=rules.decode('utf-8'))
elif action == "add":
rule = {}
rule["condition"] = request.form.get("add_condition")
rule["result"] = request.form.get("add_result")
rule["description"] = request.form.get("add_description")
ret = Interaction.AddRule(rule)
with open("rules/rules.txt") as f:
rules = f.read()
if ret == True:
flash(u"添加规则成功", 'success')
else:
flash(u"添加规则失败", 'error')
return render_template('index.html', all=rules.decode('utf-8'))
elif action == "delete":
id = request.form.get("delete_id")
ret = Interaction.DeleteRule(int(id))
with open("rules/rules.txt") as f:
rules = f.read()
if ret == True:
flash(u"删除规则成功", 'success')
else:
flash(u"删除规则失败", 'error')
return render_template('index.html', all=rules.decode('utf-8'))
elif action == "modify":
rule = {}
rule["id"] = int(request.form.get("modify_id"))
rule["condition"] = request.form.get("modify_condition")
rule["result"] = request.form.get("modify_result")
rule["description"] = request.form.get("modify_description")
ret = Interaction.ModifyRule(rule)
with open("rules/rules.txt") as f:
rules = f.read()
if ret == True:
flash(u"修改规则成功", 'success')
else:
flash(u"修改规则失败", 'error')
return render_template('index.html', all=rules.decode('utf-8'))
elif action == "reset":
Interaction.Reset()
with open("rules/rules.txt") as f:
rules = f.read()
return render_template('index.html', all=rules.decode('utf-8'))
else:
return render_template('index.html')
def draw(canvas):
global interactions, addedInteractions, numberOfPlatforms, framecount, timer,numberOfGoats,goats
time = Timer()
lv1background.update(canvas)
platforms.draw(canvas)
time.draw(canvas)
scoreCount.update(canvas)
lifeBar.update(canvas)
flood.draw(canvas)
if not addedInteractions:
for i in range(len(platforms.getCoords())):
interaction = Interaction(player1, platforms.coords[i])
interactions.append(interaction)
addedInteractions = True
for i in range(len(platforms.getCoords())):
platforms.coords[i].p1 = Vector(platforms.coords[i].getp1().getP()[0],
platforms.coords[i].getp1().getP()[1] + 1)
platforms.coords[i].p2 = Vector(platforms.coords[i].getp2().getP()[0],
platforms.coords[i].getp2().getP()[1] + 1)
tempPlatform = Platform2(0)
if platforms.coords[i].p1.y > 700:
platforms.coords.pop(i)
if i > 1:
while not (abs(tempPlatform.getx1() - platforms.coords[
i - 1].getx1()) > platforms.DISTANCE * platforms.difficulty or \
abs(tempPlatform.getx2() - platforms.coords[
i - 1].getx2()) > platforms.DISTANCE * platforms.difficulty):
tempPlatform = Platform2(0)
platforms.coords.insert(i, tempPlatform)
tempInteraction = Interaction(player1, tempPlatform)
else:
tempInteraction = Interaction(player1, platforms.coords[i])
interactions.pop(i)
interactions.insert(i, tempInteraction)
if random.randint(0,1) > 0.5 and framecount % 360 == 0 and numberOfGoats <3 and platforms.coords[i].p1.y < player1.pos.y : # numberOfPlatforms % 5 == 0 and not madeGoat
makeGoat(platforms.coords[i])
numberOfGoats+=1
goatsToPop = []
for j in range(len(goats)):
if platforms.coords[i] == goats[j].platform:
goats[j].pos = Vector(goats[j].pos.x,platforms.coords[i].p1.y-platforms.coords[i].thickness-goats[j].frameHeight/2)
goats[j].update(canvas)
if goats[j].isColliding(player1):
if goats[j].harmsPlayer(player1):
player1.lifePoints -=1
print("rekt")
goatsToPop.append(goats[j])
numberOfGoats -= 1
if goats[j].pos.y > 630:
goatsToPop.append(goats[j])
numberOfGoats-=1
for j in range(len(goatsToPop)):
goats.remove(goatsToPop[j])
framecount += 1
for i in range(len(interactions)):
if platforms.coords[i].covers(player1.pos):
interactions[i].update()
platforms.draw(canvas)
player1.update(canvas)
def __init__(self, param, filename, ignore=False, debug=False):
self.param = param
# Outdated list of geometries
#geometries={'sphere':GeometrySphere,'plane':GeometryPeriodicPlane,'none':Geometry,'tube':GeometryTube,'peanut':GeometryPeanut,'hourglass':GeometryHourglass}
geometries = {
'sphere': GeometrySphere,
'plane': GeometryPlane,
'plane_periodic': GeometryPeriodicPlane,
'none': Geometry,
'tube': GeometryTube,
'peanut': GeometryPeanut,
'hourglass': GeometryHourglass
}
print "Processing file : ", filename
data = ReadData(filename)
x, y, z = np.array(data.data[data.keys['x']]), np.array(
data.data[data.keys['y']]), np.array(data.data[data.keys['z']])
vx, vy, vz = np.array(data.data[data.keys['vx']]), np.array(
data.data[data.keys['vy']]), np.array(data.data[data.keys['vz']])
try:
nx, ny, nz = np.array(data.data[data.keys['nx']]), np.array(
data.data[data.keys['ny']]), np.array(
data.data[data.keys['nz']])
except KeyError:
nx, ny, nz = np.zeros(np.shape(x)), np.zeros(
np.shape(y)), np.zeros(np.shape(z))
self.monodisperse = False
self.N = len(x)
if not data.keys.has_key('radius'):
# MISSING: read them in from the initial configuration
self.radius = np.array([1.0 for i in range(self.N)])
self.monodisperse = True
#self.sigma=1.0
else:
self.radius = np.array(data.data[data.keys['radius']])
#self.sigma = np.mean(self.radius)
if data.keys.has_key('type'):
self.ptype = data.data[data.keys['type']]
else:
self.ptype = np.ones((self.N, ))
if data.keys.has_key('flag'):
self.flag = data.data[data.keys['flag']]
self.rval = np.column_stack((x, y, z))
self.vval = np.column_stack((vx, vy, vz))
self.nval = np.column_stack((nx, ny, nz))
# Create the right geometry environment (TBC):
self.geom = geometries[param.constraint](param)
print self.geom
# Create the Interaction class
self.inter = Interaction(self.param, self.radius, ignore)
if self.geom.periodic:
# Apply periodic geomtry conditions just in case (there seem to be some rounding errors floating around)
self.rval = self.geom.ApplyPeriodic2d(self.rval)
self.rval = self.geom.ApplyPeriodic12(np.array([0.0, 0.0, 0.0]),
self.rval)
# unit normal to the surface (only sphere so far)
vel = np.sqrt(self.vval[:, 0]**2 + self.vval[:, 1]**2 +
self.vval[:, 2]**2)
self.vhat = ((self.vval).transpose() / (vel).transpose()).transpose()
# Create the cell list
cellsize = param.nlist_rcut
if cellsize > 5 * self.inter.sigma:
cellsize = 5 * self.inter.sigma
print "Warning! Reduced the cell size to manageable proportions (5 times mean radius). Re-check if simulating very long objects!"
self.clist = CellList(self.geom, cellsize)
# Populate it with all the particles:
for k in range(self.N):
self.clist.add_particle(self.rval[k, :], k)
#self.clist.printMe()
if debug:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(self.rval[:, 0],
self.rval[:, 1],
self.rval[:, 2],
zdir='z',
c='b')
class Configuration:
def __init__(self, param, filename, ignore=False, debug=False):
self.param = param
# Outdated list of geometries
#geometries={'sphere':GeometrySphere,'plane':GeometryPeriodicPlane,'none':Geometry,'tube':GeometryTube,'peanut':GeometryPeanut,'hourglass':GeometryHourglass}
geometries = {
'sphere': GeometrySphere,
'plane': GeometryPlane,
'plane_periodic': GeometryPeriodicPlane,
'none': Geometry,
'tube': GeometryTube,
'peanut': GeometryPeanut,
'hourglass': GeometryHourglass
}
print "Processing file : ", filename
data = ReadData(filename)
x, y, z = np.array(data.data[data.keys['x']]), np.array(
data.data[data.keys['y']]), np.array(data.data[data.keys['z']])
vx, vy, vz = np.array(data.data[data.keys['vx']]), np.array(
data.data[data.keys['vy']]), np.array(data.data[data.keys['vz']])
try:
nx, ny, nz = np.array(data.data[data.keys['nx']]), np.array(
data.data[data.keys['ny']]), np.array(
data.data[data.keys['nz']])
except KeyError:
nx, ny, nz = np.zeros(np.shape(x)), np.zeros(
np.shape(y)), np.zeros(np.shape(z))
self.monodisperse = False
self.N = len(x)
if not data.keys.has_key('radius'):
# MISSING: read them in from the initial configuration
self.radius = np.array([1.0 for i in range(self.N)])
self.monodisperse = True
#self.sigma=1.0
else:
self.radius = np.array(data.data[data.keys['radius']])
#self.sigma = np.mean(self.radius)
if data.keys.has_key('type'):
self.ptype = data.data[data.keys['type']]
else:
self.ptype = np.ones((self.N, ))
if data.keys.has_key('flag'):
self.flag = data.data[data.keys['flag']]
self.rval = np.column_stack((x, y, z))
self.vval = np.column_stack((vx, vy, vz))
self.nval = np.column_stack((nx, ny, nz))
# Create the right geometry environment (TBC):
self.geom = geometries[param.constraint](param)
print self.geom
# Create the Interaction class
self.inter = Interaction(self.param, self.radius, ignore)
if self.geom.periodic:
# Apply periodic geomtry conditions just in case (there seem to be some rounding errors floating around)
self.rval = self.geom.ApplyPeriodic2d(self.rval)
self.rval = self.geom.ApplyPeriodic12(np.array([0.0, 0.0, 0.0]),
self.rval)
# unit normal to the surface (only sphere so far)
vel = np.sqrt(self.vval[:, 0]**2 + self.vval[:, 1]**2 +
self.vval[:, 2]**2)
self.vhat = ((self.vval).transpose() / (vel).transpose()).transpose()
# Create the cell list
cellsize = param.nlist_rcut
if cellsize > 5 * self.inter.sigma:
cellsize = 5 * self.inter.sigma
print "Warning! Reduced the cell size to manageable proportions (5 times mean radius). Re-check if simulating very long objects!"
self.clist = CellList(self.geom, cellsize)
# Populate it with all the particles:
for k in range(self.N):
self.clist.add_particle(self.rval[k, :], k)
#self.clist.printMe()
if debug:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(self.rval[:, 0],
self.rval[:, 1],
self.rval[:, 2],
zdir='z',
c='b')
# Tangent bundle: Coordinates in an appropriate coordinate system defined on the manifold
# and the coordinate vectors themselves, for all the particles
def getTangentBundle(self):
self.x1, self.x2, self.e1, self.e2 = self.geom.TangentBundle(self.rval)
return self.x1, self.x2, self.e1, self.e2
def rotateFrame(self, axis, rot_angle):
self.rval = self.geom.RotateVectorial(self.rval, axis, -rot_angle)
self.vval = self.geom.RotateVectorial(self.vval, axis, -rot_angle)
self.nval = self.geom.RotateVectorial(self.nval, axis, -rot_angle)
self.nval = (
(self.nval).transpose() /
(np.sqrt(np.sum(self.nval**2, axis=1))).transpose()).transpose()
self.vel = np.sqrt(self.vval[:, 0]**2 + self.vval[:, 1]**2 +
self.vval[:, 2]**2)
# Need to redo boxes after something like that
def redoCellList(self):
del self.clist
# Create the cell list
cellsize = self.param.nlist_rcut
if cellsize > 5 * self.inter.sigma:
cellsize = 5 * self.inter.sigma
print "Warning! Reduced the cell size to manageable proportions (5 times mean radius). Re-check if simulating very long objects!"
self.clist = CellList(self.geom, cellsize)
# Populate it with all the particles:
for k in range(self.N):
self.clist.add_particle(self.rval[k, :], k)
#self.clist.printMe()
def getNeighbours(self, i, mult, dmax):
# Find potential neighbours from neighbour list first
cneighbours = self.clist.get_neighbours(self.rval[i, :])
#print "Cell list neighbours: " + str(len(cneighbours))
drvec0 = self.geom.ApplyPeriodic2d(self.rval[cneighbours, :] -
self.rval[i, :])
dist = np.sqrt(drvec0[:, 0]**2 + drvec0[:, 1]**2 + drvec0[:, 2]**2)
#dist=self.geom.GeodesicDistance12(self.rval[cneighbours,:],self.rval[i,:])
#print "Mean cutoff: " + str(mult*dmax)
if self.monodisperse:
neighbours = [
cneighbours[index] for index, value in enumerate(dist)
if value < mult * dmax
]
else:
neighbours = [
cneighbours[index] for index, value in enumerate(dist)
if value < mult *
(self.radius[i] + self.radius[cneighbours[index]])
]
## Stupid one for debugging purposes:
#dist=self.geom.GeodesicDistance12(self.rval,self.rval[i,:])
#neighbours = [index for index, value in enumerate(dist) if value < mult*(self.radius[i]+self.radius[index])]
neighbours.remove(i)
#print "Contact neighbours: " + str(len(neighbours))
#print neighbours
drvec = self.geom.ApplyPeriodic2d(self.rval[neighbours, :] -
self.rval[i, :])
dr = np.sqrt(drvec[:, 0]**2 + drvec[:, 1]**2 + drvec[:, 2]**2)
return neighbours, drvec, dr
def compute_energy_and_pressure(self):
eng = np.zeros(self.N)
press = np.zeros(self.N)
ncon = np.zeros(self.N)
stress = np.zeros((self.N, 3, 3))
for i in range(self.N):
neighbours, drvec, dr = self.getNeighbours(i, self.inter.getMult(),
self.inter.getDmax())
ncon[i] = len(neighbours)
eng[neighbours] += self.inter.getEnergy(i, neighbours, drvec, dr)
press_val, stress_val = self.inter.getStresses(
i, neighbours, drvec, dr)
stress[neighbours, :, :] += stress_val
press[neighbours] += press_val
return [eng, press, ncon, stress]
# Flat case statistics (or other geometry statistics, if desired)
def getStatsBasic(self, debug=False):
vel2 = self.vval[:, 0]**2 + self.vval[:, 1]**2 + self.vval[:, 2]**2
vel2av = np.mean(vel2)
phival = np.pi * np.sum(self.radius**2) / self.geom.area
ndensity = self.N / self.geom.area
eng, press, ncon, stress = self.compute_energy_and_pressure()
pressure = np.sum(press) / self.geom.area
fmoment = np.mean(press)
energy = np.mean(eng)
energytot = np.sum(eng)
zav = np.mean(ncon)
return vel2av, phival, ndensity, pressure, fmoment, energy, energytot, zav
def getStatsBand(self, debug=False):
ez = np.array([0, 0, 1]) # lab frame z-axis
# The order parameter with v_0 still in it. Normalize in final polish
orderparV = np.sum(vval, axis=0) / len(vval)
orderpar = np.sum(nval, axis=0) / len(nval)
print orderpar
print orderparV
direction = orderpar / np.linalg.norm(orderpar)
directionV = orderparV / np.linalg.norm(orderparV)
axisorth = np.cross(direction, directionV)
axisval = np.linalg.norm(axisorth)
alpha = np.arcsin(axisval)
axisorth = axisorth / axisval
axisnorm = np.cross(ez, directionV)
axisnorm /= np.linalg.norm(axisnorm)
print directionV
print axisorth
vel = np.sqrt(self.vval[:, 0]**2 + self.vval[:, 1]**2 +
self.vval[:, 2]**2)
velnorm = ((self.vval).transpose() / (vel).transpose()).transpose()
eng, press, stress = self.compute_energy_and_pressure()
print np.shape(stress)
# Project the stresses into the e,theta,phi components. The rr component hast to be 0, and the r cross components
# belong to the projection. So they are not all that interesting.
# We want the theta theta, theta phi, phi theta ant phi phi components (implicitly testing symmetries ...)
# I give up on the notation. Stress is (N,3,3), the axes are (N,3). We want e_i sigma_ij e_j
s_tt = np.sum(axisnorm * np.einsum('kij,j->ki', stress, axisnorm),
axis=1)
s_tp = np.sum(axisnorm * np.einsum('kij,j->ki', stress, directionV),
axis=1)
s_pt = np.sum(directionV * np.einsum('kij,j->ki', stress, axisnorm),
axis=1)
s_pp = np.sum(directionV * np.einsum('kij,j->ki', stress, directionV),
axis=1)
print np.shape(s_tt)
# Mean density really makes no sense? Determined by the initial conditions in periodic boundary conditions.
# I do not wish to set up artificial bins in a translationally invariant system
vel_av = np.mean(vel)
eng_av = np.mean(eng)
press_av = np.mean(press)
s_tt_av = np.mean(s_tt)
s_tp_av = np.mean(s_tp)
s_pt_av = np.mean(s_pt)
s_pp_av = np.mean(s_pp)
# Debugging output
if debug == True:
if HAS_MATPLOTLIB:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(rval[:, 0], rval[:, 1], rval[:, 2], zdir='z', c='b')
else:
print 'Error: Matplotlib does not exist on this machine, cannot plot system'
return [
vel_av, eng_av, press_av, s_tt_av, s_tp_av, s_pt_av, s_pp_av,
alpha, direction, directionV, orderpar, orderparV
]
def Mpi_slave(self, result_out, buffer_size, compair):
"""
Slave process
@param compair: Comparison object
"""
ar=Parse()
status = MPI.Status()
self.comm.send(1,dest=0, tag=1)
root=Interaction()
buffer=buffer_size
flag_soft=True
part=0
while(status.tag!=0):
#Mise en sommeil pour la reduction de consommation de ressource
while not self.comm.Iprobe(source=0, tag=MPI.ANY_TAG):
time.sleep(0.1)
data = self.comm.recv(source=0, tag=MPI.ANY_TAG,status=status)
if(status.tag==1):
#Cree le noeud du soft
if(flag_soft):
#compteur et nom du soft
root.setSoft(data[1],data[4])
flag_soft=False
#Lancement de la comparaison
result = compair.runComparison(data[0])
#Parsing de la sortie
ar.runParsing(data[1], data[2], data[3], data[5], data[6], result, root)
#Renvoyer le resultat de la ligne de commande
self.comm.send(1,dest=status.source, tag=1)
#Decrease the buffer
buffer-=1
#Vider le buffer
if(buffer==0):
#Envoie des resultats
#self.comm.send(zlib.compress(root.getResult()), dest=1, tag=2)
self.Mpi_write_data(root, result_out, data[1], data[4], self.myrank, part)
#Vider le buffer
del(root)
#Remise a zero de l'arbre
root=Interaction()
#Reinitialisation du buffer
buffer=buffer_size
#Reinitialisation du flag soft
flag_soft=True
#Incrementation du numero de partie
part+=1
#Changement de soft
elif(status.tag==2):
#Envoie des resultats
#self.comm.send(zlib.compress(root.getResult()), dest=1, tag=2)
#Write data
if(buffer!=buffer_size):
self.Mpi_write_data(root, result_out, data[0], data[1], self.myrank, part)
#Reinitialisation du buffer
buffer=buffer_size
#Vider le buffer
del(root)
#Remise a zero de l'arbre
root=Interaction()
#Reinitialisation du flag soft
flag_soft=True
#Reinitialisation du numero de partie
part=0
import Neighbour
#import pexmd
# Inicializo parametros
# Particulas
part = Particles.PointParticles(8)
pos = np.array([.5, .5, .5]) + np.array([[0, 0, 0], [0, 0, 1], [0, 1, 0],
[0, 1, 1], [1, 0, 0], [1, 0, 1],
[1, 1, 0], [1, 1, 1]])
part.x = pos
part.mass = np.zeros((8, 1), dtype=np.float32) + 1
# Caja
bx = Box.Box([0, 0, 0], [2, 2, 2], 'Fixed')
# Interaccion
LJ = Interaction.LennardJones(1.2, 1, 0.2)
# Integrador
verlet = Integrator.VelVerlet(0.01)
# Vecinos
vecinos = Neighbour.Neighbour()
pares = vecinos.build_list(part.x, "None")
def energia_cinetica(v):
return 0.5 * sum(sum(v**2))
# Termalizamos
N = 2000
Epot = np.zeros((N, 1))
Ecin = np.zeros((N, 1))
for face in faces:
print('anger: {}'.format(likelihood_name[face.anger_likelihood]))
print('joy: {}'.format(likelihood_name[face.joy_likelihood]))
print('surprise: {}'.format(likelihood_name[face.surprise_likelihood]))
print(face.joy_likelihood)
print("^-^")
GlobalVariables.emotionJoy = face.joy_likelihood
vertices = ([
'({},{})'.format(vertex.x, vertex.y)
for vertex in face.bounding_poly.vertices
])
print('face bounds: {}'.format(','.join(vertices)))
if response.error.message:
raise Exception('{}\nFor more info on error messages, check: '
'https://cloud.google.com/apis/design/errors'.format(
response.error.message))
def run_local(args):
if args.command == 'faces':
detect_faces2(args.path)
if __name__ == '__main__':
interact = Interaction.Webpage()
startcycle()
#!/usr/bin/env python
import roslib
roslib.load_manifest('pr2_pbd_interaction');
import sys
import signal
import rospy
from Interaction import *
def signal_handler(signal, frame):
# The following makes sure the state of a user study is saved, so that it can be recovered
global interaction
interaction.saveExperimentState()
print 'Program Terminated!!'
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGQUIT, signal_handler)
if __name__ == "__main__":
global interaction
rospy.init_node('pr2_pbd_interaction', anonymous=True)
interaction = Interaction()
#rospy.spin()
while(not rospy.is_shutdown()):
interaction.update()
class SimpleUI:
def __init__(self, fn='Text/nhk_easy.txt'):
self.articles = SimpleUI.read_articles(fn)
self.all_wordlist = []
self.all_uniq_wordlist = []
for a in self.articles.values():
self.all_wordlist += a.wordlist
self.all_wordlist = sorted(self.all_wordlist)
self.all_uniq_wordlist = list(set(self.all_wordlist))
self.word_index = {self.all_uniq_wordlist[i]:i for i in xrange(len(self.all_uniq_wordlist))}
#zipf = {w:self.all_wordlist.count(w) for w in self.all_uniq_wordlist}
#print sorted(zipf.values())
#print sum([len(a.wordlist) for a in self.articles]), len(self.all_wordlist)
self.recommender = MasteryRecommender()
self.hci = Interaction(self)
print 'Edge Density:', self.hci.knowledge.EdgeDensity()
self.display_article = 0
@staticmethod
def read_articles(fn='Text/nhk_easy.txt', if_article=True, if_para=True, if_sentence=True):
f = open(fn)
articles ={}
line_match = re.compile(r'(k\d{14})\s{4}(.*)\n')
for line in f:
match = line_match.match(line)
if match:
news_id = match.group(1)
text = match.group(2)
if if_article:
articles[news_id] = Article(news_id, text)
if not if_para:
continue
paras = re.split(' ',text)
for pid in xrange(len(paras)):
news_para_id = news_id + '_para' + str(pid + 1)
if len(paras[pid].strip()) > 0:
articles[news_para_id] = Article(news_para_id, paras[pid].strip())
#print news_para_id, paras[pid]
if not if_sentence:
continue
sentences = re.split('。', paras[pid].strip())
for sid in xrange(len(sentences)):
news_para_sentence_id = news_para_id + '_s' + str(sid + 1)
if (len(sentences[sid].strip())) > 0:
articles[news_para_sentence_id] = Article(news_para_sentence_id, sentences[sid].strip() + '。')
#print news_para_sentence_id, sentences[sid].strip()
return articles
def mastery_iter(self, textbox, m, e):
self.recommender.response(self.display_article, m, e)
self.display_article = self.recommender.request(self.articles)
textbox.delete('1.0', END)
textbox.insert(END, self.display_article.text.replace(' ', '\n\n'))
#textbox.insert(END, self.iter_news.next().replace(' ', '\n\n'))
def kb_iter(self, textbox, m, e):
if e > 0:
self.hci.response(StudentResponse.UNDERSTOOD)
else:
self.hci.response(StudentResponse.NOT_UNDERSTOOD)
res = self.hci.request()
if res.process:
self.display_article = self.articles[res.process.doc_id]
else:
return
kb = self.hci.knowledge_boundary()
print sum([kb.ProcessStatus[up.uniq_id] for up in kb.Knowledge.UniqueProcesses]),'/', len(kb.Knowledge.UniqueProcesses)
textbox.delete('1.0', END)
textbox.insert(END, self.display_article.text.replace(' ', '\n\n'))
def build_graph(self):
INTER_RATE = 0.6
graph = [[False] * len(self.articles) for i in xrange(len(self.articles))]
cnt = 0
for i in xrange(len(self.articles)):
for j in xrange(i+1, len(self.articles)):
inter = self.articles.values()[i].inter(self.articles.values()[j])
l1 = len(self.articles.values()[i].wordlist)
l2 = len(self.articles.values()[j].wordlist)
if l1 < l2 and inter >= l1 * INTER_RATE:
graph[i][j] = True
cnt += 1
if l2 < l1 and inter >= l2 * INTER_RATE:
graph[j][i] = True
cnt += 1
#print cnt, len(self.articles)
return graph
def main(self):
#k = Knowledge(self)
#return
#self.build_graph()
#return
tk = Tk()
tk.title('SimpleUI NHK_easy Sona Tithew')
tk.resizable(0,0)
textbox = Text(tk, font=tkFont.Font(size=12))
self.display_article = self.recommender.request(self.articles)
textbox.insert(END, self.display_article.text.replace(' ', '\n\n'))
textbox.grid(row=0, column=0, columnspan=5)
m = IntVar()
m.set(2)
Radiobutton(tk, text='0%', variable=m, value=4).grid(row=1, column=0, sticky=N + S + E + W)
Radiobutton(tk, text='25%', variable=m, value=3).grid(row=1, column=1, sticky=N + S + E + W)
Radiobutton(tk, text='50%', variable=m, value=2).grid(row=1, column=2, sticky=N + S + E + W)
Radiobutton(tk, text='75%', variable=m, value=1).grid(row=1, column=3, sticky=N + S + E + W)
Radiobutton(tk, text='100%', variable=m, value=0).grid(row=1, column=4, sticky=N + S + E + W)
e = IntVar()
e.set(1)
#Radiobutton(tk, text='I prefer easier articles.', variable=e, value=0).grid(row=2, column=1, sticky=N + S + E + W)
#Radiobutton(tk, text='I enjoy this article!', variable=e, value=1).grid(row=2, column=2, sticky=N + S + E + W)
#Radiobutton(tk, text='I prefer harder articles.', variable=e, value=2).grid(row=2, column=3, sticky=N + S + E + W)
#Button(tk, text='Submit', height=1, width=12, font=tkFont.Font(size=24), command = lambda: self.kb_iter(textbox, m.get(), e.get())).grid(row=3, column=1, columnspan=3)
Button(tk, text='I prefer easier articles.', height=1, width=22, font=tkFont.Font(size=10),
command=lambda: self.kb_iter(textbox, m.get(), 0)).grid(row=2, column=1, sticky=N + S + E + W)
Button(tk, text='I enjoy this article.', height=1, width=18, font=tkFont.Font(size=10),
command=lambda: self.kb_iter(textbox, m.get(), 1)).grid(row=2, column=2, sticky=N + S + E + W)
Button(tk, text='I prefer harder articles.', height=1, width=22, font=tkFont.Font(size=10),
command=lambda: self.kb_iter(textbox, m.get(), 2)).grid(row=2, column=3, sticky=N + S + E + W)
tk.mainloop()
def __init__(self,
param,
filename_cells,
filename_faces,
ignore=False,
debug=False):
self.param = param
# Read the local data
geometries = {
'sphere': GeometrySphere,
'plane': GeometryPlane,
'plane_periodic': GeometryPeriodicPlane,
'none': Geometry,
'tube': GeometryTube,
'peanut': GeometryPeanut,
'hourglass': GeometryHourglass
}
print "Processing file : ", filename_cells
data = ReadData(filename_cells)
if data.keys.has_key('x'):
x, y, z = np.array(data.data[data.keys['x']]), np.array(
data.data[data.keys['y']]), np.array(data.data[data.keys['z']])
else:
print "Error: did not find positions in data file!"
return 1
self.N = len(x)
if data.keys.has_key('vx'):
vx, vy, vz = np.array(data.data[data.keys['vx']]), np.array(
data.data[data.keys['vy']]), np.array(
data.data[data.keys['vz']])
else:
vx, vy, vz = np.zeros(np.shape(x)), np.zeros(
np.shape(y)), np.zeros(np.shape(z))
try:
nx, ny, nz = np.array(data.data[data.keys['nx']]), np.array(
data.data[data.keys['ny']]), np.array(
data.data[data.keys['nz']])
except KeyError:
nx, ny, nz = np.zeros(np.shape(x)), np.zeros(
np.shape(y)), np.zeros(np.shape(z))
if data.keys.has_key('fx'):
fx, fy, fz = np.array(data.data[data.keys['fx']]), np.array(
data.data[data.keys['fy']]), np.array(
data.data[data.keys['fz']])
# Now some cell-specific things:
# area cell_area cell_perim cont_num boundary
if data.keys.has_key('area'):
self.area_native = np.array(data.data[data.keys['area']])
else:
# Assume the default of pi
self.area_native = 3.141592 * np.ones(np.shape(x))
if data.keys.has_key('cell_area'):
self.area = np.array(data.data[data.keys['cell_area']])
if data.keys.has_key('cell_perim'):
self.perim = np.array(data.data[data.keys['cell_perim']])
if data.keys.has_key('cont_num'):
self.ncon = np.array(data.data[data.keys['cont_num']])
if data.keys.has_key('boundary'):
self.boundary = np.array(data.data[data.keys['boundary']])
if data.keys.has_key('type'):
self.ptype = data.data[data.keys['type']]
else:
self.ptype = np.ones((self.N, ))
if data.keys.has_key('flag'):
self.flag = data.data[data.keys['flag']]
self.rval = np.column_stack((x, y, z))
self.vval = np.column_stack((vx, vy, vz))
self.nval = np.column_stack((nx, ny, nz))
self.fval = np.column_stack((fx, fy, fz))
# Create the right geometry environment (TBC):
self.geom = geometries[param.constraint](param)
print self.geom
# Create the Interaction class
# Not yet created for the active vertex model
#self.inter=Interaction(self.param,self.radius,ignore)
# Again, not implemented yet. Keep it however, since this should eventually happen
if self.geom.periodic:
# Apply periodic geomtry conditions just in case (there seem to be some rounding errors floating around)
self.rval = self.geom.ApplyPeriodic2d(self.rval)
self.rval = self.geom.ApplyPeriodic12(np.array([0.0, 0.0, 0.0]),
self.rval)
# unit normal to the surface (only sphere so far)
vel = np.sqrt(self.vval[:, 0]**2 + self.vval[:, 1]**2 +
self.vval[:, 2]**2)
self.vhat = ((self.vval).transpose() / (vel).transpose()).transpose()
# Now get the connectivity here from the faces files
#print "Processing file : ", filename_faces
data_faces = ReadFaces(filename_faces)
self.Faces = data_faces.Faces
self.NFaces = data_faces.Nfaces
# Create the Interaction class
# This is essentially dummy for now
self.radius = 1
self.inter = Interaction(self.param, self.radius, True)
# Create the cell list
# This is provisional, again. Here a lot more info from the nlist / triangulation should come in
cellsize = param.nlist_rcut
if cellsize > 5 * self.inter.sigma:
cellsize = 5 * self.inter.sigma
print "Warning! Reduced the cell size to manageable proportions (5 times mean radius). Re-check if simulating very long objects!"
self.clist = CellList(self.geom, cellsize)
# Populate it with all the particles:
for k in range(self.N):
self.clist.add_particle(self.rval[k, :], k)
#self.clist.printMe()
if debug:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(self.rval[:, 0],
self.rval[:, 1],
self.rval[:, 2],
zdir='z',
c='b')
return_value = setNextSubProviderInModule()
writeLog(INFO_LOGS.SETTING_PROVIDER % getSubProvider().PROVIDER_NAME)
return return_value
from SubStages.QuerySubStage import QuerySubStage
from Settings.Config import SubiTConfig
from Logs import INFO as INFO_LOGS
from Logs import WARN as WARN_LOGS
from Logs import DIRECTION as DIRC_LOGS
from Logs import FINISH as FINISH_LOGS
from Logs import BuildLog
import Interaction
Interactor = Interaction.getInteractor()
writeLog = Interactor.writeLog
from Utils import WriteDebug
from Utils import SplitToFileAndDirectory
class SubFlow(object):
""" SubFlow is the core of SubiT. That's where all the modules are joined
together in order to get the subtitles.
The scope of a SubFlow instance is a single SingleInput instance. i.e.
SubFlow is not responsible for retrieving movie files from directories
or figure out whether the given file has a subtitle already downloaded
or not (That's the job of whoever calling the instance).
def GetSubtitleDownloadDirectory(dir_by_flow = None, interactive = False):
""" Get the full path for the subtitle download directory. The argument
dir_by_flow specify the directory in which the movie file exists.
If dir_by_flow is missing, and interactive is false, the function will
back-off to the path stored in default_directory param in the config,
even if the flag of always_use_default_directory is turned off.
"""
from Settings import DEFAULT_DIRECTORY_DEFAULT_VAL
from Settings.Config import SubiTConfig
from Logs import WARN as WARN_LOGS
from Logs import DIRECTION as DIRC_LOGS
download_directory = None
conf_default_directory = SubiTConfig.Singleton().getStr\
('Global', 'default_directory', DEFAULT_DIRECTORY_DEFAULT_VAL)
conf_always_use_default_dir = SubiTConfig.Singleton().getBoolean\
('Global', 'always_use_default_directory', False)
if conf_default_directory == DEFAULT_DIRECTORY_DEFAULT_VAL:
WriteDebug('conf_default_directory is: [%s], giving os.getcwd() [%s]' % (conf_default_directory, os.getcwd()))
conf_default_directory = os.getcwd()
elif not os.path.exists(conf_default_directory):
WriteDebug('conf_default_directory [%s] is missing, giving os.getcwd() [%s]' % (conf_default_directory, os.getcwd()))
conf_default_directory = os.getcwd()
# In order to avoid failure of the os.path.exists function (by calling them
# with None object). we replace the None value with empty string.
if dir_by_flow is None:
dir_by_flow = ''
# The result of these 4 lines is simple. If dir_by_flow exists, and the conf
# of always_use_default_dir is False, we return the dir_by_flow, if it's True
# we return the conf_default_directory. In any other case, we return None
if os.path.exists(dir_by_flow):
WriteDebug('Setting download_directory to be dir_by_flow [%s]' % dir_by_flow)
download_directory = dir_by_flow
if conf_always_use_default_dir:
WriteDebug('Setting download_directory to be conf_default_directory [%s]' % conf_default_directory)
download_directory = conf_default_directory
if not download_directory and interactive:
import Interaction
Interactor = Interaction.getInteractor()
writeLog = Interactor.writeLog
while not download_directory:
user_dir_choice = Interactor.getDestinationDirectoryInput\
(conf_default_directory, DIRC_LOGS.INSERT_LOCATION_FOR_SUBTITLE_DOWNLOAD)
if os.path.exists(user_dir_choice):
WriteDebug('User enter legit path, using it: %s' % user_dir_choice)
download_directory = user_dir_choice
else:
WriteDebug('User enter non-legit path [%s], asking again!' % user_dir_choice)
writeLog(WARN_LOGS.ERROR_DIRECTORY_DOESNT_EXISTS % user_dir_choice)
elif not download_directory:
WriteDebug('To avoid problems, setting download_directory to conf_default_directory: %s' % conf_default_directory)
download_directory = conf_default_directory
return download_directory
def __init__(self,
globalWorkingDir,
localWorkingDir,
pilotJob=None,
rank=None,
nonMPIMode=False,
outputDir=None,
dumpEventOutputs=False):
threading.Thread.__init__(self)
self.globalWorkingDir = globalWorkingDir
self.localWorkingDir = localWorkingDir
self.currentDir = None
# database backend
self.db = Database.Backend(self.globalWorkingDir)
# logger
self.tmpLog = Logger.Logger(filename='Yoda.log')
# communication channel
self.comm = Interaction.Receiver(rank=rank,
nonMPIMode=nonMPIMode,
logger=self.tmpLog)
self.rank = self.comm.getRank()
self.tmpLog.info("Global working dir: %s" % self.globalWorkingDir)
self.initWorkingDir()
self.tmpLog.info("Current working dir: %s" % self.currentDir)
self.failed_updates = []
self.outputDir = outputDir
self.dumpEventOutputs = dumpEventOutputs
self.pilotJob = pilotJob
self.cores = 10
self.jobs = []
# jobs which needs more than one rank
self.jobRanks = []
self.totalJobRanks = 0
# jobs which needs less than one rank
self.jobRanksSmallPiece = []
self.totalJobRanksSmallPiece = 0
self.rankJobsTries = {}
# scheduler policy:
self.bigJobFirst = True
self.lastRankForBigJobFirst = int(self.getTotalRanks() * 0.9)
self.readyEventRanges = []
self.runningEventRanges = {}
self.finishedEventRanges = []
self.readyJobsEventRanges = {}
self.runningJobsEventRanges = {}
self.finishedJobsEventRanges = {}
self.stagedOutJobsEventRanges = {}
self.updateEventRangesToDBTime = None
self.jobMetrics = {}
self.jobsTimestamp = {}
self.jobsRuningRanks = {}
self.originSigHandler = {}
for sig in [
signal.SIGTERM, signal.SIGQUIT, signal.SIGSEGV, signal.SIGXCPU,
signal.SIGUSR1, signal.SIGBUS
]:
self.originSigHandler[sig] = signal.getsignal(sig)
signal.signal(signal.SIGTERM, self.stop)
signal.signal(signal.SIGQUIT, self.stop)
signal.signal(signal.SIGSEGV, self.stop)
signal.signal(signal.SIGXCPU, self.stopYoda)
signal.signal(signal.SIGUSR1, self.stopYoda)
signal.signal(signal.SIGBUS, self.stopYoda)