Wrapping std::array in Cython and Exposing it to memory views

It seems that there is currently a pull request in Cython's repo to wrap c++ std::array but until then, I could use some help. I am currently wrapping the std::array like so:

cdef extern from "<array>" namespace "std" nogil:
    cdef cppclass array2 "std::array<double, 2>":
        array2() except+
        double& operator[](size_t)

This works, but I have to loop over a cython memory view say, double arr[:], and copy the values one by one. Is there an easier way to do this? Essentially I'd like to do the following:

cdef double arr[2]
arr[0] = 1.0
arr[1] = 2.0
cdef array2 array2_arr = arr
#and the reverse
cdef array2 reverse
reverse[0] = 1.0
reverse[1] = 2.0 
cdef double reverse_arr[2] = reverse

Is this completely unreasonable? As a result, working with std::array is extremely tedious because I have a to have a for-loop to copy values from cython to c++ and from c++ to cython. Furthermore, since cython doesn't give us the ability to have non-type template parameters, I have to define a wrapper for every variation of std::array in my code. Any suggestions on how to efficiently work with std::array would be greatly appreciated.