I am tring to use multiprocessing
in my code for better performance.
However, I got an error as follows:
Traceback (most recent call last):
File "D:EpubBuilderTinyEpub.py", line 49, in <module>
e.epub2txt()
File "D:EpubBuilderTinyEpub.py", line 43, in epub2txt
tempread = self.get_text()
File "D:EpubBuilderTinyEpub.py", line 29, in get_text
txtlist = pool.map(self.char2text,charlist)
File "C:Python34libmultiprocessingpool.py", line 260, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "C:Python34libmultiprocessingpool.py", line 599, in get
raise self._value
File "C:Python34libmultiprocessingpool.py", line 383, in _handle_tasks
put(task)
File "C:Python34libmultiprocessingconnection.py", line 206, in send
self._send_bytes(ForkingPickler.dumps(obj))
File "C:Python34libmultiprocessing
eduction.py", line 50, in dumps
cls(buf, protocol).dump(obj)
TypeError: cannot serialize '_io.BufferedReader' object
I have tried it an other way and got this error:
TypeError: cannot serialize '_io.TextIOWrapper' object
My code looks like this:
from multiprocessing import Pool
class Book(object):
def __init__(self, arg):
self.namelist = arg
def format_char(self,char):
char = char + "a"
return char
def format_book(self):
self.tempread = ""
charlist = [f.read() for f in self.namelist] #list of char
with Pool() as pool:
txtlist = pool.map(self.format_char,charlist)
self.tempread = "".join(txtlist)
return self.tempread
if __name__ == '__main__':
import os
b = Book([open(f) for f in os.listdir()])
t = b.format_book()
print(t)
I think that the error is raised because of not using the Pool
in the main function.
Is my conjecture right? And how can I modify my code to fix the error?
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