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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def run_conditional_decorators(self, context):
 """Evaluate the step decorators to decide whether to run step or not. Use pypyr.dsl.Step.run_step if you intend on executing the step the same way pypyr does. Args: context: (pypyr.context.Context) The pypyr context. This arg will mutate. """

        logger.debug("starting")

        # The decorator attributes might contain formatting expressions that
        # change whether they evaluate True or False, thus apply formatting at
        # last possible instant.
        run_me = context.get_formatted_as_type(self.run_me, out_type=bool)
        skip_me = context.get_formatted_as_type(self.skip_me, out_type=bool)
        swallow_me = context.get_formatted_as_type(self.swallow_me,
                                                   out_type=bool)

        if run_me:
            if not skip_me:
                try:
                    if self.retry_decorator:
                        self.retry_decorator.retry_loop(context,
                                                        self.invoke_step)
                    else:
                        self.invoke_step(context=context)
                except Exception as ex_info:
                    if swallow_me:
                        logger.error(
                            f"{self.name} Ignoring error because swallow "
                            "is True for this step.\n"
                            f"{type(ex_info).__name__}: {ex_info}")
                    else:
                        raise
            else:
                logger.info(
                    f"{self.name} not running because skip is True.")
        else:
            logger.info(f"{self.name} not running because run is False.")

        logger.debug("done")