Updated ticker_new.py

Multiprocessing test/mp_test_4.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python2
  
 import sys #exit
 import gobject
@@ -297,4 +297,4 @@ if __name__ == '__main__':
     
     print "finished"
     sys.exit()
- 
+ 

Multiprocessing test/ticker_new.py

@@ -3,16 +3,12 @@ import multiprocessing
 import time
 import sys
 
-def network_worker(tq, wq):
+def handler(tq, wq):
     while tq.empty() is not True:
         ticker = tq.get(0.1)
-        print(threading.currentThread().getName(),"received ",ticker)
         wq.put(ticker-1000)
-        #simulate work
         time.sleep(0.01)
         tq.task_done()
-    for i in range(8):
-        wq.put(None)
 
 def worker(wq, i):
     while True:
@@ -21,13 +17,9 @@ def worker(wq, i):
             if task is None:
                 break
             i.value += 1
-        print(multiprocessing.current_process().name, task, wq.qsize(), i.value)
-        #simulate work
         time.sleep(0.001)
         wq.task_done()
-    print(task)
     wq.task_done()
-    print("Closing: ", multiprocessing.current_process().name)
         
 
 ticker_queue = multiprocessing.JoinableQueue()
@@ -37,34 +29,37 @@ tickers = range(1000)
 processes = []
 threads = []
 
-for i in tickers:
-    ticker_queue.put(i)
+def looprun(n):
+    for i in tickers:
+        ticker_queue.put(i)
 
-for i in range(20):
-    t = threading.Thread(target=network_worker, args = (ticker_queue, work_queue))
-    t.deamon = True
-    print("Starting: ",t.name)
-    t.start()
-    threads.append(t)
+    for i in range(20):
+        t = threading.Thread(target = handler, args = (ticker_queue, work_queue))
+        t.deamon = True
+        t.start()
+        threads.append(t)
 
-for i in range(8):
-    p = multiprocessing.Process(target = worker, args = (work_queue, iterations, ))
-    p.deamon = True
-    print("Starting: ",p.name)
-    p.start()
-    processes.append(p)
-
-print("Closing down threads")
-for t in threads:
-    print("Closing: ",t.name)
-    t.join()
-
-print("Closing down workers")
-for p in processes:
-    p.join()
-print("Total number of iterations:", iterations.value)
+    for i in range(8):
+        p = multiprocessing.Process(target = worker, args = (work_queue, iterations, ))
+        p.deamon = True
+        p.start()
+        processes.append(p)
 
+    ticker_queue.join()
+    for i in range(8):
+        work_queue.put(None)
 
+    work_queue.join()
+
+    print("Closing down workers")
+    for p in processes:
+        p.join()
+    print("Run:",n)
+    print("Total number of iterations:", iterations.value)
+    return
+
+for n in range(1):
+    looprun(n)