clean up and comments

dream/simulation/Examples/OperationalFailures.py

@@ -4,38 +4,49 @@ import random
 from random import Random
 Rnd = Random(3) 
 
+# transition probabilities
 p=0.01
 g=0.01
 r=0.1
 f=0.2
 
+# the capacity of B123
+capacity=35
+
 class OpQueue(Queue):
+    # allow to be locked between the time periods
     def canAccept(self, callerObject=None):
         if self.locked:
             return False
         return Queue.canAccept(self, callerObject)
     
 class OpExit(Exit):
+    # set numGoodParts=0 at every replication
     def initialize(self):
         self.numGoodParts=0
         Exit.initialize(self)
 
+    # allow to be locked between the time periods    
     def canAccept(self, callerObject=None):
         if self.locked:
             return False
         return True    
     
+    # if the status of the entity is 'Good' update numGoodParts
     def getEntity(self):
         activeEntity=Exit.getEntity(self)
         if activeEntity.status=='Good':
             self.numGoodParts+=1
         return activeEntity
     
+    # update the GoodExits list
     def postProcessing(self):
         Exit.postProcessing(self, MaxSimtime=1000.1)
         self.GoodExits.append(self.numGoodParts)
 
 class OpMachine(Machine):
+    # allow to be locked between the time periods
+    # also if there is failure (state=0) do not get new work
     def canAccept(self, callerObject=None):
         if self.locked:
             return False
@@ -43,17 +54,22 @@ class OpMachine(Machine):
             return False
         return Machine.canAccept(self, callerObject)   
     
+    # set state=1 at the start of each replication
     def initialize(self):
         Machine.initialize(self)
         self.state=1
     
+    # if the state is -1 set that the disposed Entity is 'Bad'
     def removeEntity(self, entity):
         activeEntity=Machine.removeEntity(self, entity)
         if self.state==-1:
             activeEntity.status='Bad'
         return activeEntity
 
+# method invoked by the generator at every time period     
 def controllerMethod():
+    
+    # for every machine calculate the state (based on transition probabilities)
     for M in [M1,M2,M3]:
         rn1=createRandomNumber()
         rn2=createRandomNumber()
@@ -69,20 +85,21 @@ def controllerMethod():
             if rn1<f:
                 M.state=0        
     
+    # unlock E and let part get from M3 to E        
     E.locked=False        
     if len(M3.getActiveObjectQueue()) and (not M3.state==0):
-#         print '----> M3->E'
         Controller.sendSignal(sender=M3, receiver=E,signal=E.isRequested)
         yield G.env.timeout(0)   
     E.locked=True
     
+    # unlock M3 and let part get from B123 to M3        
     M3.locked=False
     if len(B123.getActiveObjectQueue()) and (not M3.state==0):
-#         print '----> B123->M3'
         Controller.sendSignal(sender=B123, receiver=M3,signal=M3.isRequested)
         yield G.env.timeout(0)  
     M3.locked=True
     
+    # unlock B123 and let parts get from M1 and M2 to B123        
     B123.locked=False  
     if ((len(M1.getActiveObjectQueue())) and (not M1.state==0) \
         or ((len(M2.getActiveObjectQueue())) and not M2.state==0))\
@@ -97,6 +114,7 @@ def controllerMethod():
                 break    
     B123.locked=True 
     
+    # unlock M1 and M2 and let parts get from NS1 to M1 and from NS2 to M2           
     M1.locked=False
     M2.locked=False    
     if len(M1.getActiveObjectQueue())==0:
@@ -105,13 +123,13 @@ def controllerMethod():
         Controller.sendSignal(sender=NS2, receiver=M2,signal=M2.isRequested)
     while 1:
         yield G.env.timeout(0) 
-#         print G.env.now, len(M1.getActiveObjectQueue()), M1.state, len(M2.getActiveObjectQueue()), M2.state 
         if (len(M1.getActiveObjectQueue()) or M1.state==0) \
                  and (len(M2.getActiveObjectQueue()) or M2.state==0):
             M1.locked=True
             M2.locked=True
             break
 
+# returns a number from the uniform distribution (0,1)
 def createRandomNumber():
     return Rnd.uniform(0,1)
 
@@ -122,7 +140,7 @@ NS2=NonStarvingEntry('NS2','Entry2',entityData={'_class':'Dream.Part','status':'
 M1=OpMachine('M1','Machine1', processingTime={'Fixed':{'mean':0.1}})
 M2=OpMachine('M2','Machine2', processingTime={'Fixed':{'mean':0.1}})
 M3=OpMachine('M3','Machine3', processingTime={'Fixed':{'mean':0.1}})
-B123=OpQueue('B123','Queue', capacity=10)
+B123=OpQueue('B123','Queue', capacity=capacity)
 E=OpExit('E1','Exit')  
 Controller=EventGenerator('EV','Controller',start=0,interval=1,method=controllerMethod)
 
@@ -138,9 +156,11 @@ E.defineRouting(predecessorList=[M3])
 # add all the objects to a list
 objectList=[NS1,NS2,M1,M2,M3,B123,E,Controller]  
 
+# set all objects locked at beginning
 for obj in objectList:
     obj.locked=True
 
+# GoodExits will keep the number of good parts produced in every replication    
 E.GoodExits=[]
     
 # call the runSimulation giving the objects and the length of the experiment