def kpsReview():
c = case2.test(url=Url, data={'user': '******', 'pass': 123})
c.kpsReview(time=50)
def Bpoupload():
#for i in random(1,100):
c = case2.test(url=Url, data={'user': '******', 'pass': 123})
c.BpoUpload(10)
def Review():
c = case2.test(url=Url, data={'user': '******', 'pass': 123})
c.Review(time=500)
def Xps():
c = case2.test(url=Url, data={'user': '******', 'pass': '******'})
c.XpsUpload(time=5)
def Sys():
c = case2.test(url=Url, data={'user': '******', 'pass': '******'})
c.SysUpload(aid=2019012518399152, time=3)
def testphoto():
c = case2.test(url=Url, data={'user': '******', 'pass': 123})
c.testphoto()
c3_training_data, c3_testing_data = get_datapoints("Data3/Class3.txt")
c2_training_data, c2_testing_data = get_datapoints("Data3/Class2.txt")
if (sys.argv[1] == '2'):
c1_training_data, c1_testing_data, c2_training_data, c2_testing_data, c3_training_data, c3_testing_data = get_data(
"Data2/mixed_data.txt")
train_data = [c1_training_data, c2_training_data, c3_training_data]
test_data = [c1_testing_data, c2_testing_data, c3_testing_data]
print(train_data[0])
if (sys.argv[2] == '1'):
print("when covariance of matrix is linier")
ttt = case1.test(train_data)
# ttt.test_result(test_data)
if (sys.argv[2] == '4'):
print("Arbitary covariance matrix")
ttt = case4.test(train_data)
ttt.test_result(test_data)
if (sys.argv[2] == '2'):
print("Same covariance matrix for each class")
ttt = case2.test(train_data)
ttt.test_result(test_data)
if (sys.argv[2] == '3'):
print("Arbitary Digonal matrix")
ttt = case3.test(train_data)
ttt.test_result(test_data)