How to properly declare numpy arrays in cython

I am trying to Cythonise my code, and remove as many python interactions as I can. I am running into some issue when I am working with numpy arrays. I have a function which does the following. There are some if, else statements and for loops, which don't show any python interactions when I use %%cython --annotate, and I am happy with that. However, despite using the declaration for the array, those lines of code are highlighted in yellow, indicating python interactions.

cdef func(input1, input2):
    cdef np.ndarray[np.double_t, ndim=2] array = np.zeros((length, 6))
    ...
    "Some computations"

        array[index] = [val1, val2, val3, val4, val5, val6]
     "..."
   array = array[~np.all(array ==0., axis=1)]
   return array
    

    

clicking on the little plus sign at the line where it says cdef np.ndarray, I get the error message shown below, unfortunately I am not experience enough to make sense of it.

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readint the tutorial here I thought using the decorators @cython.boundscheck(False) # Deactivate bounds checking @cython.wraparound(False) # Deactivate negative indexing. might help, but that just fails to compile altogether

cdef func(input1, input2):
    @cython.wraparound(False)
    @cython.boundscheck(False)
    cdef np.ndarray[np.double_t, ndim=2] array = np.zeros((length, 6))
    ...
    "Some computations"

        array[index] = [val1, val2, val3, val4, val5, val6]
     "..."
   array = array[~np.all(array ==0., axis=1)]
   return array