Return an identical vindex but slices are replaced by arrays

def _arrayize_vectorized_indexer(indexer, shape):
    """ Return an identical vindex but slices are replaced by arrays """
    slices = [v for v in indexer.tuple if isinstance(v, slice)]
    if len(slices) == 0:
        return indexer

    arrays = [v for v in indexer.tuple if isinstance(v, np.ndarray)]
    n_dim = arrays[0].ndim if len(arrays) > 0 else 0
    i_dim = 0
    new_key = []
    for v, size in zip(indexer.tuple, shape):
        if isinstance(v, np.ndarray):
            new_key.append(np.reshape(v, v.shape + (1, ) * len(slices)))
        else:  # slice
            shape = ((1,) * (n_dim + i_dim) + (-1,) +
                     (1,) * (len(slices) - i_dim - 1))
            new_key.append(np.arange(*v.indices(size)).reshape(shape))
            i_dim += 1
    return VectorizedIndexer(tuple(new_key))