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KeyError:0在python中使用多处理

[英]KeyError: 0 using multiprocessing in python

I have the following code inwhich I try to call a function compute_cluster which do some computations and write the results in a txt file (each process write its results in different txt files independently), however, when I run the following code: 我有以下代码,我尝试调用函数compute_cluster进行一些计算并将结果写入txt文件(每个进程独立地将结果写入不同的txt文件),但是,当我运行以下代码时:

def main():
  p = Pool(19)
  p.map(compute_cluster, [(l, r) for l in range(6, 25) for r in range(1, 4)]) 
  p.close()
if __name__ == "__main__":
   main()                

it crashes with the following errors: 它崩溃时出现以下错误:

File "RMSD_calc.py", line 124, in <module>
  main()                
File "RMSD_calc.py", line 120, in main
  p.map(compute_cluster, [(l, r) for l in range(6, 25) for r in range(1, 4)]) 
File "/usr/local/lib/python2.7/multiprocessing/pool.py", line 225, in map
  return self.map_async(func, iterable, chunksize).get()
File "/usr/local/lib/python2.7/multiprocessing/pool.py", line 522, in get
  raise self._value
  KeyError: 0

and when I searched online for the meaning of "KeyError: 0" i didn't find anything helpful so any suggestions why this error happens is highly appreciated 当我在网上搜索“KeyError:0”的含义时,我没有找到任何有用的信息,所以任何有关此错误发生的建议都非常感谢

KeyError happens in compute_cluster() in a child process and p.map() reraises it for you in the parent: KeyError发生在compute_cluster()中的一个子进程和p.map() reraises为您在父:

from multiprocessing import Pool

def f(args):
    d = {}
    d[0] # <-- raises KeyError

if __name__=="__main__":
    p = Pool()
    p.map(f, [None])

Output 产量

Traceback (most recent call last):
  File "raise-exception-in-child.py", line 9, in <module>
    p.map(f, [None])
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 227, in map
    return self.map_async(func, iterable, chunksize).get()
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 528, in get
    raise self._value
KeyError: 0

To see the full traceback, catch the exception in the child process: 要查看完整的回溯,请在子进程中捕获异常:

import logging
from multiprocessing import Pool

def f(args):
    d = {}
    d[0] # <-- raises KeyError

def f_mp(args):
    try:
        return f(args)
    except Exception:
        logging.exception("f(%r) failed" % (args,))

if __name__=="__main__":
    p = Pool()
    p.map(f_mp, [None])

Output 产量

ERROR:root:f(None) failed
Traceback (most recent call last):
  File "raise-exception-in-child.py", line 10, in f_mp
    return f(args)
  File "raise-exception-in-child.py", line 6, in f
    d[0] # <-- raises KeyError
KeyError: 0

It shows that d[0] caused the exception. 它表明d[0]引起了异常。

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