Передача переменных конфигурации в функции, чтобы они вели себя как константы времени компиляции

В numba я хочу передать переменную конфигурации в функцию как константу времени компиляции. В частности, то, что я хочу сделать, это

    @njit
    def physics(config):
        flagA = config.flagA
        flagB = config.flagB
        aNumbaList = List()
        for i in range(100):
            if flagA:
                aNumbaList.append(i)
            else:
                aNumbaList.append(i/10)
        return aNumbaList

Если переменные конфигурации являются константами времени компиляции, это прошло бы, но это не так, поэтому выдает мне ошибки, говорящие, что есть два кандидата.

There are 2 candidate implementations:
                 - Of which 2 did not match due to:
                 ...
                 ...

Я просмотрел протокол одного из собраний Numba и обнаружил, что есть способ сделать это Встреча Numba: 05.03.2024 Я попробовал это, но все равно выдает ту же ошибку.

Вот код с сообщением об ошибке:

.. code:: ipython3

    from numba import jit, types, njit
    from numba.extending import overload
    from numba.typed import List
    import functools

.. code:: ipython3

    class Config():
        def __init__(self, flagA, flagB):
            self._flagA = flagA
            self._flagB = flagB
    
        @property
        def flagA(self):
            return self._flagA
    
        @property
        def flagB(self):
            return self._flagB

.. code:: ipython3

    @functools.cache
    def obj2strkeydict(obj, config_name):
    
        # unpack object to freevars and close over them
        tmp_a = obj.flagA
        tmp_b = obj.flagB
        assert isinstance(config_name, str)
        tmp_force_heterogeneous = config_name
    
        @njit
        def configurator():
            d = {'flagA': tmp_a,
                 'flagB': tmp_b,
                 'config_name': tmp_force_heterogeneous}
            return d
    
        # return a configuration function that returns a string-key-dict
        # representation of the configuration object.
        return configurator

.. code:: ipython3

    @njit
    def physics(cfig_func):
        config = cfig_func()
        flagA = config['flagA']
        flagB = config['flagB']
        aNumbaList = List()
        for i in range(100):
            if flagA:
                aNumbaList.append(i)
            else:
                aNumbaList.append(i/10)
        return aNumbaList

.. code:: ipython3

    def demo():
        configuration1 = Config(True, False)
        jit_config1 = obj2strkeydict(configuration1, 'config1')
        physics(jit_config1)

.. code:: ipython3

    demo()


::


    ---------------------------------------------------------------------------

    TypingError                               Traceback (most recent call last)

    Cell In[83], line 1
    ----> 1 demo()


    Cell In[82], line 4, in demo()
          2 configuration1 = Config(True, False)
          3 jit_config1 = obj2strkeydict(configuration1, 'config1')
    ----> 4 physics(jit_config1)


    File ~/anaconda3/envs/tardis/lib/python3.11/site-packages/numba/core/dispatcher.py:468, in _DispatcherBase._compile_for_args(self, *args, **kws)
        464         msg = (f"{str(e).rstrip()} \n\nThis error may have been caused "
        465                f"by the following argument(s):\n{args_str}\n")
        466         e.patch_message(msg)
    --> 468     error_rewrite(e, 'typing')
        469 except errors.UnsupportedError as e:
        470     # Something unsupported is present in the user code, add help info
        471     error_rewrite(e, 'unsupported_error')


    File ~/anaconda3/envs/tardis/lib/python3.11/site-packages/numba/core/dispatcher.py:409, in _DispatcherBase._compile_for_args.<locals>.error_rewrite(e, issue_type)
        407     raise e
        408 else:
    --> 409     raise e.with_traceback(None)


    TypingError: Failed in nopython mode pipeline (step: nopython frontend)
    - Resolution failure for literal arguments:
    No implementation of function Function(<function impl_append at 0x7fd87d253920>) found for signature:
    
     >>> impl_append(ListType[int64], float64)
    
    There are 2 candidate implementations:
          - Of which 2 did not match due to:
          Overload in function 'impl_append': File: numba/typed/listobject.py: Line 592.
            With argument(s): '(ListType[int64], float64)':
           Rejected as the implementation raised a specific error:
             TypingError: Failed in nopython mode pipeline (step: nopython frontend)
           No implementation of function Function(<intrinsic _cast>) found for signature:
    
            >>> _cast(float64, class(int64))
    
           There are 2 candidate implementations:
                 - Of which 2 did not match due to:
                 Intrinsic in function '_cast': File: numba/typed/typedobjectutils.py: Line 22.
                   With argument(s): '(float64, class(int64))':
                  Rejected as the implementation raised a specific error:
                    TypingError: cannot safely cast float64 to int64. Please cast explicitly.
             raised from /home/sam/anaconda3/envs/tardis/lib/python3.11/site-packages/numba/typed/typedobjectutils.py:75
           
           During: resolving callee type: Function(<intrinsic _cast>)
           During: typing of call at /home/sam/anaconda3/envs/tardis/lib/python3.11/site-packages/numba/typed/listobject.py (600)
           
           
           File "../anaconda3/envs/tardis/lib/python3.11/site-packages/numba/typed/listobject.py", line 600:
               def impl(l, item):
                   casteditem = _cast(item, itemty)
                   ^
    
      raised from /home/sam/anaconda3/envs/tardis/lib/python3.11/site-packages/numba/core/typeinfer.py:1086
    
    - Resolution failure for non-literal arguments:
    None
    
    During: resolving callee type: BoundFunction((<class 'numba.core.types.containers.ListType'>, 'append') for ListType[int64])
    During: typing of call at /tmp/ipykernel_9889/739598600.py (11)
    
    
    File "../../../tmp/ipykernel_9889/739598600.py", line 11:
    <source missing, REPL/exec in use?>

Любая помощь или любая ссылка на соответствующий материал действительно мне помогут. Спасибо.