def info_w():
branch_json = src.branch_error_check.branch_main.branch_check(
project_assets)
duplicate_json = src.duplicate_key_check.duplicate_main.duplicate_main(
project_assets)
format_json = src.format_char_check.format_main.format_main(
project_assets)
dir_json = src.lang_dir_check.dir_main.dir_main(project_assets)
word_json = src.word_check.word_main.word_check(
project_assets, "./check_words.txt")
time_json = time_gen()
# 重写文件
branch = open("./branch.js", "w", encoding="utf-8")
duplicate = open("./duplicate.js", "w", encoding="utf-8")
format = open("./format.js", "w", encoding="utf-8")
dir = open('./dir.js', "w", encoding="utf-8")
word = open('./word.js', "w", encoding="utf-8")
time = open("./time.js", "w", encoding="utf-8")
# 写 js 数据到文件
branch.write("export let branches=" + branch_json + ";")
duplicate.write("export let duplicates=" + duplicate_json + ";")
format.write("export let formats=" + format_json + ";")
dir.write("export let dirs=" + dir_json + ";")
word.write("export let words=" + word_json + ";")
time.write("export let times=" + time_json + ";")
branch.close()
duplicate.close()
format.close()
dir.close()
word.close()
time.close()
def create_time_skeleton():
with open('FINAL/aktualne/time_plus_3_minutes.csv', 'w') as time:
base = datetime.datetime.strptime('2017-05-01 00:00:00',
"%Y-%m-%d %H:%M:%S")
baseP = datetime.datetime.strptime('2017-05-01 00:03:00',
"%Y-%m-%d %H:%M:%S")
for _ in range(604800):
time.write(
base.strftime("%Y-%m-%d %H:%M:%S") + ';' +
baseP.strftime("%Y-%m-%d %H:%M:%S") + ';\n')
base += datetime.timedelta(seconds=1)
baseP += datetime.timedelta(seconds=1)
def sortedProofs(matrix, files):
shutil.rmtree("in", ignore_errors=True)
shutil.rmtree("out", ignore_errors=True)
os.makedirs(os.getcwd() + "/in")
os.makedirs(os.getcwd() + "/out")
i = 1
genProofs(files)
time = open("timeSorted", "w")
while i <= files:
n, entrada = auxBegin("/in" + str(files))
startRunningTime = time.time()
sorted(entrada, key=itemgetter(1))
endRunningTime = time.time() - startRunningTime
# se escribe el archivo de tiempos
time.write(str(n) + ":" + "{:1.5f}".format(endRunningTime) + "\n")
i += 1
time.close()
tn = telnetlib.Telnet(VSwitch_add, VSwitch_port)
time.sleep(0.3)
tn.write("\x01\x83\x82\x81")
tn.close()
except socket.error:
print 'no connection to VideoSwitch'
def Painting(str1,str2)
try:
tn = telnetlib.Telnet(Relay_add, Relay_port)
time.sleep(1)
tn.write("\n")
time.sleep(1)
tn.write(str1)
time.sleep(1)
time.write(str2)
time.sleep(1)
tn.close()
except socket.error:
print 'no connection to Painting'
try:
soc.bind((host, port)) # Bind to the port
except socket.error as e:
print(str(e))
soc.listen(5) # Now wait for client connection.
print("Waiting for connections..")
while True:
if ball.xcor() > 340 and ball.xcor() < 350 and ball.ycor() < paddle_b.ycor() + 40 and ball.ycor() > paddle_b.ycor() - 40:
ball.setx(340)
ball.dx *=-1
if ball.xcor() <-340 and ball.xcor() > -350 and ball.ycor() < paddle_a.ycor() + 40 and ball.ycor() > paddle_a.ycor() - 40:
ball.setx(-340)
ball.dx *=-1
#for calculating score in endless mode using time
elapsed_time = time.time() - start_time
score = int(elapsed_time)#FOR DETERMINING HIGHSCORE(NEEDED)
if score_a==5: # game end
something(score)
WRITE_SCORE(user_name,score)
time=turtle.Turtle()
time.speed(0)
time.color("white")
time.penup()
time.hideturtle()
time.goto(0,-260)
time.write( "SCORE ACHIEVED: {} HIGHSCORE: {}".format( int(elapsed_time), getHighScore()) , align="center", font=("Courier", 20,"normal"))
sys.exit()
import time #импортирование времени
t = time.time()
from time import time#импортирование времени и только его
import time as f#импортирование как переменная
t = f.time()
sys.path#путс системы
import imp
imp.reload(foo)#перезагрузка модуля
import os#работа с файловой системой
os.getcwd()#где находимся
os.chdir()#смена каталога
os.listdir()#файлы в каталоге
os.path.splittext('filename.ext') == '.ext'#
os.isfile() os.isdir()#что именно
f = open(a)
text = """123"""
f.write(text)
f.close()
g.read() #считывание по символам
g.read(2)
#docs.python.org - документация
def runTrajectories(self,theta, fonction):
'''
Generates all the trajectories of the experimental setup and return the mean cost. This function is used by cmaes to optimize the controller.
Input: -theta: vector of parameters, one dimension normalized numpy array
Ouput: -meanAll: the mean of the cost of all trajectories generated, float
'''
#c = Chrono()
self.initTheta(theta)
#print "theta avant appel :", theta
#compute all the trajectories x times each, x = numberOfRepeat
meanCost, meanTime = fonction(self.numberOfRepeat)
#cma.plot()
#opt = cma.CMAOptions()
#print "CMAES options :", opt
#c.stop()
#print("Indiv #: ", self.call, "\n Cost: ", meanCost)
if (self.call==0):
self.localBestCost = meanCost
self.localWorstCost = meanCost
self.localBestTime = meanTime
self.localWorstTime = meanTime
self.periodMeanCost = 0.0
self.periodMeanTime = 0.0
else:
if meanCost>self.localBestCost:
self.localBestCost = meanCost
elif meanCost<self.localWorstCost:
self.localWorstCost = meanCost
if meanTime>self.localBestTime:
self.localBestTime = meanTime
elif meanTime<self.localWorstTime:
self.localWorstTime = meanTime
if meanCost>self.bestCost:
self.bestCost = meanCost
if meanCost>0:
extension = ".save" + str(meanCost)
filename = findDataFilename(self.foldername+"Theta/", "theta", extension)
np.savetxt(filename, self.theta)
filename2 = self.foldername + "Best.theta"
np.savetxt(filename2, self.theta)
self.periodMeanCost += meanCost
self.periodMeanTime += meanTime
self.call += 1
self.call = self.call%self.period
if (self.call==0):
self.periodMeanCost = self.periodMeanCost/self.period
self.periodMeanTime = self.periodMeanTime/self.period
self.CMAESCostStore.append((self.localWorstCost,self.periodMeanCost,self.localBestCost))
self.CMAESTimeStore.append((self.localWorstTime,self.periodMeanTime,self.localBestTime))
costfoldername = self.foldername+"Cost/"
checkIfFolderExists(costfoldername)
cost = open(costfoldername+"cmaesCost.log","a")
time = open(costfoldername+"cmaesTime.log","a")
cost.write(str(self.localWorstCost)+" "+str(self.periodMeanCost)+" "+str(self.localBestCost)+"\n")
time.write(str(self.localWorstTime)+" "+str(self.periodMeanTime)+" "+str(self.localBestTime)+"\n")
cost.close()
time.close()
#np.savetxt(costfoldername+"cmaesCost.log",self.CMAESCostStore) #Note: inefficient, should rather add to the file
#np.savetxt(costfoldername+"cmaesTime.log",self.CMAESTimeStore) #Note: inefficient, should rather add to the file
return 10.0*(self.rs.rhoCF-meanCost)/self.rs.rhoCF