Example #1
0
    def upon(self, input, enter, outputs, collector=list):
        """
        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.
        """
        inputSpec = getArgsSpec(input.method)
        for output in outputs:
            outputSpec = getArgsSpec(output.method)
            if inputSpec != outputSpec:
                raise TypeError(
                    "method {input} signature {inputSignature} "
                    "does not match output {output} "
                    "signature {outputSignature}".format(
                        input=input.method.__name__,
                        output=output.method.__name__,
                        inputSignature=inputSpec,
                        outputSignature=outputSpec,
                ))
        self.machine._oneTransition(self, input, enter, outputs, collector)
Example #2
0
    def upon(self, input, enter, outputs, collector=list):
        """
        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.
        """
        inputArgs = _getArgNames(input.argSpec)
        for output in outputs:
            outputArgs = _getArgNames(output.argSpec)
            if not outputArgs.issubset(inputArgs):
                raise TypeError(
                    "method {input} signature {inputSignature} "
                    "does not match output {output} "
                    "signature {outputSignature}".format(
                        input=input.method.__name__,
                        output=output.method.__name__,
                        inputSignature=getArgsSpec(input.method),
                        outputSignature=getArgsSpec(output.method),
                ))
        self.machine._oneTransition(self, input, enter, outputs, collector)
Example #3
0
 def upon(self, input, enter, outputs, collector=list):
     """
     Declare a state transition within the L{MethodicalMachine} associated
     with this L{MethodicalState}: upon the receipt of the input C{input},
     enter the state C{enter}, emitting each output in C{outputs}.
     """
     inputSpec = getArgsSpec(input.method)
     for output in outputs:
         outputSpec = getArgsSpec(output.method)
         if inputSpec != outputSpec:
             raise TypeError(
                 "method {input} signature {inputSignature} "
                 "does not match output {output} "
                 "signature {outputSignature}".format(
                     input=input.method.__name__,
                     output=output.method.__name__,
                     inputSignature=inputSpec,
                     outputSignature=outputSpec,
             ))
     self.machine._oneTransition(self, input, enter, outputs, collector)
Example #4
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def _getArgSpec(func):
    """
    Normalize inspect.ArgSpec across python versions
    and convert mutable attributes to immutable types.

    :param Callable func: A function.
    :return: The function's ArgSpec.
    :rtype: ArgSpec
    """
    spec = getArgsSpec(func)
    return ArgSpec(
        args=tuple(spec.args),
        varargs=spec.varargs,
        varkw=spec.varkw if six.PY3 else spec.keywords,
        defaults=spec.defaults if spec.defaults else (),
        kwonlyargs=tuple(spec.kwonlyargs) if six.PY3 else (),
        kwonlydefaults=(
            tuple(spec.kwonlydefaults.items()) if spec.kwonlydefaults else
            ()) if six.PY3 else (),
        annotations=tuple(spec.annotations.items()) if six.PY3 else (),
    )
Example #5
0
def _getArgSpec(func):
    """
    Normalize inspect.ArgSpec across python versions
    and convert mutable attributes to immutable types.

    :param Callable func: A function.
    :return: The function's ArgSpec.
    :rtype: ArgSpec
    """
    spec = getArgsSpec(func)
    return ArgSpec(
        args=tuple(spec.args),
        varargs=spec.varargs,
        varkw=spec.varkw if six.PY3 else spec.keywords,
        defaults=spec.defaults if spec.defaults else (),
        kwonlyargs=tuple(spec.kwonlyargs) if six.PY3 else (),
        kwonlydefaults=(
            tuple(spec.kwonlydefaults.items())
            if spec.kwonlydefaults else ()
        ) if six.PY3 else (),
        annotations=tuple(spec.annotations.items()) if six.PY3 else (),
    )