human
Solve the following python programming problem given the following code:
def __getitem__(self, index) : 
    '
        Get an element from a sparse N-dim array.

        Examples
        ========

        >>> from sympy.tensor.array import MutableSparseNDimArray
        >>> a = MutableSparseNDimArray(range(4), (2, 2))
        >>> a
        [[0, 1], [2, 3]]
        >>> a[0, 0]
        0
        >>> a[1, 1]
        3
        >>> a[0]
        0
        >>> a[2]
        2

        ' 
    if (isinstance (index, tuple) and any ([isinstance (i, slice) for i in index])) : 
        def slice_expand(s, dim) : 
            if (not isinstance (s, slice)) : 
                return (s,) 
(start, stop, step) = s.indices (dim) 
            return [(start + (i * step)) for i in range (((stop - start) // step))] 
sl_factors = [slice_expand (i, slice_expand) for (i, dim) in zip (index, self.shape)] 
        eindices = itertools.product (* sl_factors) 
        array = [self._sparse_array.get (self._parse_index (i), S.Zero) for i in eindices] 
        nshape = [len (el) for (i, el) in enumerate (sl_factors) if isinstance (index [i], slice)] 
        return type (self) (array, nshape) 
else : 
        if isinstance (index, slice) : 
            (start, stop, step) = index.indices (self._loop_size) 
            retvec = [self._sparse_array.get (ind, S.Zero) for ind in range (start, stop, step)] 
            return retvec 
else : 
            index = self._parse_index (index) 
            return self._sparse_array.get (index, S.Zero) 

    
    

    Fix the buggy line: sl_factors = [slice_expand (i, slice_expand) for (i, dim) in zip (index, self.shape)]
assistant
#Here is Python program to fix the buggy line: sl_factors = [slice_expand (i, slice_expand) for (i, dim) in zip (index, self.

sl_factors = [slice_expand (i, dim) for (i, dim) in zip (index, self.shape)]