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Normalize inspect.ArgSpec across python versions
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:param Callable func: A function.
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Get the name of all arguments defined in a function signature.
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Decorate a function so all its arguments must be passed by keyword.
A useful utility for decorators that take arguments so that they don't
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argument.
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A state for a L{MethodicalMachine}.
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Declare a state transition within the :class:`automat.MethodicalMachine`
associated with this :class:`automat.MethodicalState`:
upon the receipt of the `input`, enter the `state`,
emitting each output in `outputs`.
:param MethodicalInput input: The input triggering a state transition.
:param MethodicalState enter: The resulting state.
:param Iterable[MethodicalOutput] outputs: The outputs to be triggered
as a result of the declared state transition.
:param Callable collector: The function to be used when collecting
output return values.
:raises TypeError: if any of the `outputs` signatures do not match
the `inputs` signature.
:raises ValueError: if the state transition from `self` via `input`
has already been defined.
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Get a L{Transitioner}
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Filter out arguments that were passed to input that output won't accept.
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:return: The args and kwargs that output will accept.
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An input for a L{MethodicalMachine}.
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Return a function that takes no arguments and returns values returned
by output functions produced by the given L{MethodicalInput} in
C{oself}'s current state.
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An output for a L{MethodicalMachine}.
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Outputs are private, so raise an exception when we attempt to get one.
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Call the underlying method.
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r� c @ s. e Zd Zejdd�Zejdd�Zddd�ZdS )�MethodicalTracerFr* Nc s t || j| j�� � fdd�}|S )Nc s � � | � d S r! )�setTrace)�tracer�rP r r r� ) s z*MethodicalTracer.__get__.<locals>.setTrace)rQ rN rO )r" rM r� r� r r� r r� & s
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Create a unique Python identifier.
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A :class:`MethodicalMachine` is an interface to an `Automaton`
that uses methods on a class.
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_automaton� _reducersr� �_symbolr@ r r r �__init__> s zMethodicalMachine.__init__Nc C s |durt d��| S )z�
L{MethodicalMachine} is an implementation detail for setting up
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Declare a state, possibly an initial state or a terminal state.
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not to be callable any more.
:param bool initial: is this state the initial state?
Only one state on this :class:`automat.MethodicalMachine`
may be an initial state; more than one is an error.
:param bool terminal: Is this state a terminal state?
i.e. a state that the machine can end up in?
(This is purely informational at this point.)
:param Hashable serialized: a serializable value
to be used to represent this state to external systems.
This value should be hashable;
:py:func:`unicode` is a good type to use.
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Declare an input.
This is a decorator for methods.
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Declare an output.
This is a decorator for methods.
This method will be called when the state machine transitions to this
state as specified in the decorated `output` method.
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See L{MethodicalState.upon}.
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serializer� s z MethodicalMachine.serializerc r� )r� c r� )Nc sR � | g|�R i |��}i }�j �� D ]}|||j< qt| �j�j �}|| |_d S r! )r� �statesrH rQ r� r| )rM r
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Generate a L{graphviz.Digraph} that represents this machine's
states and transitions.
@return: L{graphviz.Digraph} object; for more information, please
see the documentation for
U{graphviz<https://graphviz.readthedocs.io/>}
r )� makeDigraphc S r> r! r? )r� r r r �<lambda>� � z-MethodicalMachine.asDigraph.<locals>.<lambda>c S r> r! r? )r, r r r r� � r� c S r> r! r? )r- r r r r� � r� )�
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