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)