import scipp as sc
dim='x'
midpoint = sc.vectors(values=[[0.5, 0.5, 0.5], [1.5, 1.5, 1.5]], dims=[dim], unit='m')
    
ok_vector_edged = sc.DataArray(data=sc.scalar(1), coords={dim: midpoint})
try:
    ok_vector_edged.coords.is_edges(dim)
except sc.DimensionError:
    raise RuntimeError("This should not be triggered")

not_ok_vector_edged = sc.DataArray(
    data=sc.array(values=[[1]], dims=['x', 'y'], unit='V'), 
    coords={
        dim: midpoint,
        'y': sc.array(values=[2], dims=['y'], unit='s'),
        'z': sc.vectors(values=[[[0,1,2],[3,4,5]]], dims=['y', dim], unit='m'), 
    })
try:
    not_ok_vector_edged.coords.is_edges('z')
except sc.DimensionError as er:
    print(f'Failed identifying {dim} as an edges dimension when checking "z", with somewhat cryptic message `{er}`')

def vector_safe_is_edges(x: DataArray, dim: str) -> bool:
    from scipp import DType
    if x.coords[dim].dtype != DType.vector3:
        return x.coords.is_edges(dim)
    return x.coords[dim].sizes[dim] == x.sizes[dim] + 1