Hi DaveA,

Thank for your responses even though my problem has been solved based on Miles' suggestion. I am writing programs by using the SimPy library, which is a discrete-event simulator library. Below is my actual code segment

class RAID(Process):
   def ReqServ(self):
       while(now()<TM_End):
           yield get, self, self.queue, 1
           orig_req=self.got[0]
           ....
           for devno in range (5):
               ...
               #---- Segment A begins
              new_loc= calcfunc(orig_req.loc)
              new_len= calcfunc(orig_req.len)
              new_req1=   Req(self.cn_req, new_loc, new_len)
              yield put, self, self.disks[devno].queue,[new_req]
              self.cn_req+=1
              new_req2=   Req(self.cn_req, new_loc, new_len)
              yield put, self, self.disks[devno+5].queue,[new_req]
              self.cn_req+=1
              #--- Segment A ends
              ...

In the above example, ReqServ may pause at three lines of yield and return something. However, if I move the code segment A into a second function as following, then ReqServ will not pause and return things back to its caller after calling SegmentA().

class RAID(Process):
   def ReqServ(self):
       while(now()<TM_End):
           yield get, self, self.queue, 1
           orig_req=self.got[0]
           ....
           for devno in range (5):
               ...
               self.SegmentA(orig_req.loc,orig_req.len)
               ...

   def SegmentA(self,loc,len):
       new_loc= calcfunc(loc)
       new_len= calcfunc(len)
       new_req1=   Req(self.cn_req, new_loc, new_len)
       yield put, self, self.disks[devno].queue,[new_req]
       self.cn_req+=1
       new_req2=   Req(self.cn_req, new_loc, new_len)
       yield put, self, self.disks[devno+5].queue,[new_req]
       self.cn_req+=1

Based on Miles's suggestion, we can solve the problem by using 'return' in SegmentA() and keeping 'yield' in ReqServ(). For example,

class RAID(Process):
   def ReqServ(self):
       while(now()<TM_End):
           yield get, self, self.queue, 1
           orig_req=self.got[0]
           ....
           for devno in range (5):
               ...
               yield self.SegmentA(orig_req.loc,orig_req.len,0)
               yield self.SegmentA(orig_req.loc,orig_req.len,5)
               ...

   def SegmentA(self,loc,len,shiftno):
       new_loc= calcfunc(loc)
       new_len= calcfunc(len)
       new_req=   Req(self.cn_req, new_loc, new_len)
       self.cn_req+=1
       return put, self, self.disks[devno+shiftno].queue,[new_req]


Regards,
Weafon

Dave Angel wrote:
weafon wrote:
<div class="moz-text-flowed" style="font-family: -moz-fixed">Hi guys,

I have a question about the usage of yield. As shown in the below example, in general, if there is a code segment commonly used by two or more functions, we may isolate the segment into a function and then call it from other functions if necessary.

def func1():
   ....
   while(cond):
       .....
       commoncode()
       ...


def func2():
   ....
   while(cond):
       .....
       commoncode()
       ...

def commoncode()
   AAAA
   BBBB
   CCCC

However, if there is a 'yield' operation in the common code segment, the isolation causes that func1 and func2 become a non-generator function!! Although I can prevent such an isolation by just duplicating the segment in func1 and func2 to keep both of them being generator functions, the code may become ugly and hard to maintain particularly when coomoncode() is long.

The problem may be resolved if I can define the commoncode() as an inline function or marco. Unfortunately, inline and marco do not seems to be implemented in python. Thus, how can I isolate a common segment into a function when there are yield operations in the common segment?

Thanks,
Weafon

You are implying there's something special or unique about yield in this. Return has the same problem, and many other flow control constructs. Also, variable definitions and scoping.

So you can't just copy any old bunch of adjacent lines out of two functions, put it into a third, and call it factoring. Give us a specific example you're puzzled about, and we can try to solve it.

DaveA


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