def test_add_numpy():
        d_data = {
                'x' : numpy.array([1, 2, 3]),
                'y' : numpy.array([4, 5, 6]),
                }
    
        rdf = RDF.MakeNumpyDataFrame(d_data)
        rdf = rdf.Define('z', 'ROOT::RVec<int>({1, 2, 3})')
        rdf = rdf.Define('w', 'true')
    
        arr_val = numpy.array([10, 20, 30])
    
>       rdf = add_numpy_column(rdf, arr_val, 'values')

arr_val    = array([10, 20, 30])
d_data     = {'x': array([1, 2, 3]), 'y': array([4, 5, 6])}
rdf        = <cppyy.gbl.ROOT.RDF.RInterface<ROOT::Detail::RDF::RLoopManager,void> object at 0x7fe19e4605c0>

tests/test_3373_rdataframe.py:85: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/test_3373_rdataframe.py:69: in add_numpy_column
    rdf = ak.to_rdataframe(d_data)
        arr_val    = array([10, 20, 30])
        col        = 'z'
        d_data     = {'values': array([10, 20, 30]),
 'w': <Array [True, True, True] type='3 * bool'>,
 'x': <Array [1, 2, 3] type='3 * int64'>,
 'y': <Array [4, 5, 6] type='3 * int64'>,
 'z': <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>}
        data       = <Array [{w: True, x: 1, y: 4, ...}, ..., {...}] type='3 * {w: bool, x: int6...'>
        l_col      = ['w', 'x', 'y', 'z']
        l_col_org  = ['w', 'x', 'y', 'z']
        name       = 'values'
        rdf        = <cppyy.gbl.ROOT.RDF.RInterface<ROOT::Detail::RDF::RLoopManager,void> object at 0x7fe19e4605c0>
        v_col_org  = <cppyy.gbl.std.vector<string> object at 0x7fe19e455620>
src/awkward/_dispatch.py:38: in dispatch
    with OperationErrorContext(name, args, kwargs):
        args       = ({'values': array([10, 20, 30]),
  'w': <Array [True, True, True] type='3 * bool'>,
  'x': <Array [1, 2, 3] type='3 * int64'>,
  'y': <Array [4, 5, 6] type='3 * int64'>,
  'z': <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>},)
        array_like = array([10, 20, 30])
        array_likes = dict_values([<Array [True, True, True] type='3 * bool'>, <Array [1, 2, 3] type='3 * int64'>, <Array [4, 5, 6] type='3 * int64'>, <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>, array([10, 20, 30])])
        dispatch   = <function to_rdataframe at 0x14e033f40>
        func       = <function to_rdataframe at 0x14e033eb0>
        gen_or_result = <generator object to_rdataframe at 0x14e12f060>
        kwargs     = {}
        name       = 'ak.to_rdataframe'
src/awkward/_errors.py:80: in __exit__
    raise self.decorate_exception(exception_type, exception_value)
        exception_type = <class 'AssertionError'>
        exception_value = AssertionError()
        self       = <awkward._errors.OperationErrorContext object at 0x16a08eec0>
        traceback  = <traceback object at 0x16a0d2980>
src/awkward/_dispatch.py:64: in dispatch
    next(gen_or_result)
        args       = ({'values': array([10, 20, 30]),
  'w': <Array [True, True, True] type='3 * bool'>,
  'x': <Array [1, 2, 3] type='3 * int64'>,
  'y': <Array [4, 5, 6] type='3 * int64'>,
  'z': <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>},)
        array_like = array([10, 20, 30])
        array_likes = dict_values([<Array [True, True, True] type='3 * bool'>, <Array [1, 2, 3] type='3 * int64'>, <Array [4, 5, 6] type='3 * int64'>, <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>, array([10, 20, 30])])
        dispatch   = <function to_rdataframe at 0x14e033f40>
        func       = <function to_rdataframe at 0x14e033eb0>
        gen_or_result = <generator object to_rdataframe at 0x14e12f060>
        kwargs     = {}
        name       = 'ak.to_rdataframe'
src/awkward/operations/ak_to_rdataframe.py:53: in to_rdataframe
    return _impl(
        arrays     = {'values': array([10, 20, 30]),
 'w': <Array [True, True, True] type='3 * bool'>,
 'x': <Array [1, 2, 3] type='3 * int64'>,
 'y': <Array [4, 5, 6] type='3 * int64'>,
 'z': <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>}
        flatlist_as_rvec = True
src/awkward/operations/ak_to_rdataframe.py:77: in _impl
    layouts[name] = ak.operations.ak_to_layout._impl(
        array      = array([10, 20, 30])
        arrays     = {'values': array([10, 20, 30]),
 'w': <Array [True, True, True] type='3 * bool'>,
 'x': <Array [1, 2, 3] type='3 * int64'>,
 'y': <Array [4, 5, 6] type='3 * int64'>,
 'z': <Array [[1, 2, 3], [1, 2, 3], [1, 2, 3]] type='3 * var * int32'>}
        awkward    = <module 'awkward' from '/Users/yana/Projects/IS3373/awkward/src/awkward/__init__.py'>
        flatlist_as_rvec = True
        layouts    = {'w': <NumpyArray dtype='bool' len='3'>[ True  True  True]</NumpyArray>,
 'x': <NumpyArray dtype='int64' len='3'>[1 2 3]</NumpyArray>,
 'y': <NumpyArray dtype='int64' len='3'>[4 5 6]</NumpyArray>,
 'z': <ListOffsetArray len='3'>
    <offsets><Index dtype='int64' len='4'>
        [0 3 6 9]
    </Index></offsets>
    <content><NumpyArray dtype='int32' len='9'>[1 2 3 1 2 3 1 2 3]</NumpyArray></content>
</ListOffsetArray>}
        length     = 3
        name       = 'values'
src/awkward/operations/ak_to_layout.py:184: in _impl
    return _handle_array_like(
        allow_record = False
        allow_unknown = False
        none_policy = 'error'
        obj        = array([10, 20, 30])
        primitive_policy = 'forbid'
        promoted_layout = <NumpyArray dtype='int64' len='3'>[10 20 30]</NumpyArray>
        regulararray = True
        string_policy = 'as-characters'
        use_from_iter = True
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj = array([10, 20, 30]), layout = <NumpyArray dtype='int64' len='3'>[10 20 30]</NumpyArray>

    def _handle_array_like(obj, layout, *, primitive_policy):
>       assert primitive_policy in ("pass-through", "promote", "error")
E       AssertionError
E       
E       
E       See if this has been reported at https://github.com/scikit-hep/awkward/issues

layout     = <NumpyArray dtype='int64' len='3'>[10 20 30]</NumpyArray>
obj        = array([10, 20, 30])
primitive_policy = 'forbid'

src/awkward/operations/ak_to_layout.py:140: AssertionError