def main():
start_time = time.time();
fileNames = ['HitchcockData.mat']
for fileName in fileNames:
f,data = readMat2(fileName)
threads = []
for subject in xrange(len(data)):
newfileName = fileName[:-4]+str(subject)+'.dat'
t = threading.Thread(target=dft_worker, args=(f,data,subject,newfileName))
threads.append(t)
t.start()
print("--- total run time: %s seconds ---" % str(time.time() - start_time))
def main():
start_time = time.time()
fileNames = ["HitchcockData.mat"]
for fileName in fileNames:
try:
f, data = readMat2(fileName)
except:
sys.exit("not found file " + fileName + ": exiting")
threads = []
for subject in xrange(len(data)):
newfileName = fileName[:-4] + str(subject) + "sample.dat"
t = threading.Thread(target=dft_worker, args=(f, data, subject, newfileName))
threads.append(t)
t.start()
print ("--- total run time: %s seconds ---" % str(time.time() - start_time))
def main():
start_time = time.time();
fileNames = ['HitchcockData.mat']
for fileName in fileNames:
try:
f,data = readMat2(fileName)
except:
sys.exit('not found file '+fileName+': exiting')
processes = []
#this result_dict should be a giant dictionary of the form
#key -- x,y,z
#value -- dictionary2
#dictionary2:
#key: subject number
#value: array of time series
#Warning: This is a expoitation of the GIL global interpreter lock. If you are not using cython then problem might occur.
#the only lock that I deployed here are at the time when creating a new dictionary2 inside the original dictionary
#manager = Manager()
#result_dict = manager.dict()
result_dict = {}
for subject in xrange(len(data)):
#newfileName = fileName[:-4]+str(subject)+'.dat'
#p = Process(target=subject_worker, args=(f,data,subject,result_dict))
subject_worker(f,data,subject,result_dict)
#processes.append(p)
#p.start()
# Wait for all of them to finish
#for x in processes:
# x.join()
#so now assume all threads finished running:
#we have a dictionary of the described one
#now we need to normalize it based on person
#result_dict = normalize_columns(result_dict)
print("--- total run time: %s seconds ---" % str(time.time() - start_time))
f = open('result.dat','w')
for key in result_dict.keys():
f.write(key)
f.write(';')
for subject in sorted(result_dict[key].keys()):
f.write(','.join(map(str,result_dict[key][subject])))
f.write(',')
f.write('\n')
f.close()
'''
cluster.shutdown()
"""
def tryInsert(session, s, time):
try:
session.execute(s)
except:
print ("failed to insert, retrying: " + s[0:100] + " " + str(time))
tryInsert(session, s, time + 1)
# reading data from file specified in fileNames array.
for fileName in fileNames:
try:
f, data = readMat2(fileName)
except:
sys.exit("not found file " + fileName + ": exiting")
try:
session = getSession(username="******", password="******")
session.default_timeout = 30 # this is in *seconds* setting the default timeout will prevent the exception.
except:
print "not able to start db session"
# processing the data.
tempInsert = ""
tempCreate = prepareCreateTable(fileName[:-4] + "total2")
print ("creating table:" + tempCreate)
tryInsert(session, tempCreate, 1)
for subject in xrange(len(data)):
