python Pool parallel execution

. 1  # - * - Coding: UTF-. 8 - * - 
2  Import Time
 . 3  from multiprocessing Import Pool
 . 4  DEF RUN (Fn):
 . 5    # Fn: function parameter is a data element of the list 
. 6    the time.sleep (. 1 )
 . 7    Print ( * Fn Fn)
 . 8  
. 9  IF  the __name__ == " __main__ " :
 10    testFL = [1,2,3,4,5,6 ]
 . 11    Print ( ' order: ' ) # execution order (i.e. serial execution, single-process ) 
12 is    S =the time.time ()
 13 is    for Fn in testFL:
 14      RUN (Fn)
 15    T1 = the time.time ()
 16    Print ( " execution order Time: " , int (T1 - S))
 . 17  
18 is    Print ( ' Concurrent: ' )   # create multiple processes in parallel execution 
19    the pool = pool (10)   # create 10 process has a number of process pool 
20    # testFL: a list of data to be processed, run: function data processing testFL list of 
21    pool.map (RUN , testFL)
 22    pool.close () # close the process pool, no longer accept new process 
23   pool.join () # main process blocked to wait for the child process exits 
24    T2 = the time.time ()
 25    Print ( " parallel execution time: " , int (T2-T1))

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