human
What is a the Python code you requested given the following:
Complete the below
def make_array(array_type):

    ''''Return the Structure representation of the given *array_type*
    (an instance of types.ArrayCompatible).
    Note this does not call __array_wrap__ in case a new array structure
    is being created (rather than populated).'
    '''
assistant
#Here is the Python code you requested.
    real_array_type = array_type.as_array
    base = cgutils.create_struct_proxy(real_array_type)
    ndim = real_array_type.ndim
    class ArrayStruct(base, ):
        def _make_refs(self, ref):
            sig = signature(real_array_type, array_type)
            try:
                array_impl = self._context.get_function('__array__', sig)
            except NotImplementedError:
                return super(ArrayStruct, self)._make_refs(ref)
            datamodel = self._context.data_model_manager[array_type]
            be_type = self._get_be_type(datamodel)
            if (ref is None):
                outer_ref = cgutils.alloca_once(self._builder, be_type, zfill=True)
            else:
                outer_ref = ref
            ref = array_impl(self._builder, (outer_ref,))
            return (outer_ref, ref)
        @property
        def shape(self):
            '\n                                                Override    .shape    to    inform    LLVM    that    its    elements    are    all    positive.\n                                                '
            builder = self._builder
            if (ndim == 0):
                return base.__getattr__(self, 'shape')
            ptr = self._get_ptr_by_name('shape')
            dims = []
            for i in range(ndim):
                dimptr = cgutils.gep_inbounds(builder, ptr, 0, i)
                load = builder.load(dimptr)
                dims.append(load)
                mark_positive(builder, load)
            return cgutils.pack_array(builder, dims)
    return ArrayStruct