Esempio n. 1
0
 def test_setlogin(self):
     self.login = login()
     self.login.login()
     self.a = self.login.login1()
     sleep(2)
     if self.a == "第一次登陆":
         self.project = project()
         self.project.project()
     self.dow = download()
     self.dow.download()
     self.DropDown = DropDown()
     print(self)
     # def test_affiche(self):
     self.rpage = Returnpage()
     self.taffiche = Affiche()
     try:
         self.taffiche.affiche()
         self.title = self.taffiche.Unread()
     except BaseException as e:
         self.assertEqual(0, 1, "公告模块,未读测试未通过")
     if self.title != '无未读公告':
         try:
             self.taffiche.Read(self.title)
         except BaseException:
             self.assertEqual(0, 1, "公告模块,已读测试未通过")
     else:
         print('无未读公告')
     sleep(1)
     self.rpage.returnpage()
 def __init__(self, tx=None, y=None, z=None, num_components=50):
     [D, self.WW, self.mu] = pca(tx, num_components)
     self.y = y
     self.tx = tx
     self.z = z
     for xi in tx:
         self.projections.append(
             project(self.WW, xi.reshape(1, -1), self.mu))
 def predict(self, X):
     #in classification, use of RPCA will take a long time, therefore I put it in annotation
     #X= RPCA.robust_pca(X)
     testx = X
     minDist = np.finfo('float').max
     minClass = -1
     Q = project(self.WW, testx.reshape(1, -1), self.mu)
     rank = []
     k = []
     for i in xrange(len(self.projections)):
         dist = self.EuclideanDistance(self.projections[i], Q)
         rank.append(dist)
         if dist < minDist:
             minDist = dist
             minClass = self.y[i]
             k.append(minClass)
     t = rank
     rank.sort()
     i = []
     i.append(t.index(min(rank)))
     return minClass
    def predicttwo(self, X):
        #in classification, use of RPCA will take a long time, therefore I put it in annotation
        #X= RPCA.robust_pca(X)
        testx = X
        minDist = np.finfo('float').max
        minDistwo = np.finfo('float').max
        minClass = -1
        minClasstwo = -1
        Q = project(self.WW, testx.reshape(1, -1), self.mu)
        for i in xrange(len(self.projections)):
            dist = self.EuclideanDistance(self.projections[i], Q)
            if dist < minDist:
                minDist = dist
                minClass = self.y[i]

        for i in xrange(len(self.projections)):
            dist = self.EuclideanDistance(self.projections[i], Q)
            if dist < minDistwo:
                minDistwo = dist
                minClasstwo = self.z[i]

        return minClass, minClasstwo
Esempio n. 5
0
from Affiche import AfficheMenu
from requirement import RequirmentMenu
from Asset import AssetMenu
from WorkOrder import WorkOrderMenu
from Energy import EnergyMenu
from Maintain import MaintainMenu
from Visitor import VisitorMenu
from inspection import InspectionMenu
from Knowledge import KnowledgeMenu
from payment import paymentMenu
login = login()
login.login()
a = login.login1()
sleep(2)
if a == "第一次登陆":
    project = project()
    project.project()
dow = download()
dow.download()
DropDown = DropDown()
# 公告
affiche = AfficheMenu()
# # 巡检
# inspection=PatrolMenu()
# # 服务台
# requirment=RequirmentMenu()
# # 工单(未走)
# wordorder=WorkOrderMenu()
# # 计划性维护
# maintain=MaintainMenu()
# # 资产