pickle cython class

Question

I have to save and load a cython class instance. My cython class is this plus several methods:

import numpy as np
cimport numpy as np
cimport cython    
cdef class Perceptron_avg_my:
    cdef int wlen,freePos
    cdef np.ndarray w,wtot,wac,wtotc #np.ndarray[np.int32_t]
    cdef np.ndarray wmean  #np.ndarray[np.float32_t]    
    cdef public dict fpos    

    def __cinit__(self,np.int64_t wlen=4*10**7):
        self.fpos= dict()
        self.freePos=1
        self.wlen=wlen
        self.w=np.zeros(wlen,np.int32)
        self.wtot=np.zeros(wlen,np.int32)
        self.wac=np.zeros(wlen,np.int32)
        self.wtotc=np.zeros(wlen,np.int32)
        self.wmean=np.zeros(wlen,np.float32)

    cpdef evaluate_noavg(self,list f):
        cdef np.ndarray[np.int32_t] w = self.w
        cdef dict fpos = self.fpos        
        cdef bytes ff
        cdef int i
        cdef long int score=0

        for ff in f:
            i=fpos.get(ff,0)  
            if i != 0: 
                score += w[i]
        return score

I was thinking to use the cPickle module. I understand that I have to implement a __reduce__(self) method but I have some problem to find an example and to understand well the documentation

I tried to add something like this to Perceptron_avg_my but not works:

    def rebuild(self,l):
        self.fpos=l[0]
        self.freePos=l[1]

    def __reduce__(self):
        #print 'reduce call'
        return (Perceptron_avg_my.rebuild,(self.fpos,self.freePos))

any suggestions? Thanks a lot!!!

Answer 1

I don't know if you found it, but the official Python documentation has a section on pickling extension types (unfortunately there doesn't seem to be a Python 3 version of this doc, but it works the same in Python 3).

I think you have three problems here. Firstly, the function returned by __reduce__ is supposed to create a new object from scratch and return it, whereas your rebuild function just sets some attributes. Secondly, the tuple returned by __reduce__ must itself be picklable, and as a method, Perceptron_avg_my.rebuild is not picklable (I think this is expected to be fixed in python 3.3 or 3.4). Instead, you could turn it into a module-level function. Finally, the arguments (self.fpos,self.freePos) are passed to rebuild individually - you don't have to unpack the tuple yourself.

The following seems to work for me (though you probably want to store the values of the other attributes too, otherwise they will just have the initial values set by __init__):

#inside the class definition
def __reduce__(self):
    return (rebuild, (self.wlen, self.fpos, self.freePos))

#standalone function
def rebuild(wlen, fpos, freePos):
    p = Perceptron_avg_my(wlen)
    p.fpos = fpos
    p.freePos = freePos
    return p