python线程池ThreadPoolExecutor,传单个参数和多个参数方式

from concurrent.futures import ThreadPoolExecutor,as_completed
def test(a):
        print(a)

qq = {"a":"1","b":"2","c":"3"}
with ThreadPoolExecutor() as pool:
    for j ,k in qq.items():
        res = pool.submit(test,j)
        kk = res.result()

from concurrent.futures import ThreadPoolExecutor,as_completed
def test(a,b):
        print(a,b)

qq = {"a":"1","b":"2","c":"3"}
with ThreadPoolExecutor() as pool:
    for j ,k in qq.items():
        res = pool.submit(lambda cxp:test(*cxp),(j ,k))
        last= res.result())

from concurrent.futures import ThreadPoolExecutor,as_completed
  
def doFileParse(filepath,segment,wordslist):
      print(filepath)
      print(segment)
  
#调用方法
#实质就是通过lambda表达式过渡。传入的参数是一个，但是通过lambda表达多后拆散为多个传入。这是很巧妙的方法，实际 就是 *p 这个表达式。
args =[filepath,thu1,Words]
 
newTask=executor.submit(lambda p: doFileParse(*p),args)