我有一个功能，我正在尝试并行运行。该函数的格式为
def parallelFunc(curUser):
if curUser in neighbors.getUsers(): #neighbors is a global object of a class
userData = createData.createData(inpMat1,inpMat2,inpMat3, neighbors.getNeighbors(curUser) )
#inpMatX are numpy arrays/scipy sparse arrays/lists with global scope
return userData # tried returning a double value too, get the same error
else:
return 0
pp = Pool(4) # tried with different values
ret = pp.map(parallelFunc, userList)
当我尝试运行此操作时，出现以下错误
ValueError: invalud literal for float(): 1.235443508738e
错误发生在multiprocessing / pool.pyc中。我在IPython笔记本中这样做。有关为什么会发生这种情况的任何想法？
堆栈追踪：
ValueError Traceback (most recent call last)
<ipython-input-99-2731048b72e2> in <module>()
3
4 #st = time.time()
----> 5 ret = pp.map(parallelFunc, userList)
6 #ft = time.time()
7
/opt/Anaconda/lib/python2.7/multiprocessing/pool.pyc in map(self, func, iterable, chunksize)
249 '''
250 assert self._state == RUN
--> 251 return self.map_async(func, iterable, chunksize).get()
252
253 def imap(self, func, iterable, chunksize=1):
/opt/Anaconda/lib/python2.7/multiprocessing/pool.pyc in get(self, timeout)
565 return self._value
566 else:
--> 567 raise self._value
568
569 def _set(self, i, obj):
ValueError: invalid literal for float(): 1.34716296703.978260894942e+06