Parallel run and write in python

Do a parallel map(func, tasks) with numProc processes

• func should always return something
• If bar is true, show a progress bar
• Tasks should be an iterable which items are acceptable args for func
• The output of func is loggedgradually in outFileName
• If errFileName is not None, all exceptions produced by func are intercepted and gradually logged in errFileName

How to use

def testFunc(arg):
    ret=str(arg)+str(os.getpid())
    sleep(randint(2,5))
    return ret

def test():
    parallelRunAndWrite(testFunc, range(5), "testplop",  numProc=2, errFileName="errors")