Separate out config functions in search

[Jammy2211]

The AbstractSearch has the following property's, which we can group and move to a separate module within the search package:

    def config_dict_test_mode_from(self, config_dict: Dict) -> Dict:
        raise NotImplementedError

    @property
    def _class_config(self) -> Dict:
        return self.config_type[self.__class__.__name__]

    @cached_property
    def config_dict_search(self) -> Dict:
        config_dict = copy.deepcopy(self._class_config["search"])

        for key, value in config_dict.items():
            try:
                config_dict[key] = self.kwargs[key]
            except KeyError:
                pass

        return config_dict

    @cached_property
    def config_dict_run(self) -> Dict:
        config_dict = copy.deepcopy(self._class_config["run"])

        for key, value in config_dict.items():
            try:
                config_dict[key] = self.kwargs[key]
            except KeyError:
                pass

        if os.environ.get("PYAUTOFIT_TEST_MODE") == "1":
            logger.warning(f"TEST MODE ON: SEARCH WILL SKIP SAMPLING\n\n")

            config_dict = self.config_dict_test_mode_from(config_dict=config_dict)

        return config_dict

    @property
    def config_dict_settings(self) -> Dict:
        return self._class_config["settings"]

    @property
    def config_type(self):
        raise NotImplementedError()

This will likely amount to making a SearchConfig class, or something to that effect.

It is common for searches to overwrite config_dict_test_mode_from method which search speciifc inputs:

    def config_dict_test_mode_from(self, config_dict : Dict) -> Dict:
        """
        Returns a configuration dictionary for test mode meaning that the sampler terminates as quickly as possible.

        Entries which set the total number of samples of the sampler (e.g. maximum calls, maximum likelihood
        evaluations) are reduced to low values meaning it terminates nearly immediately.

        Parameters
        ----------
        config_dict
            The original configuration dictionary for this sampler which includes entries controlling how fast the
            sampler terminates.

        Returns
        -------
        A configuration dictionary where settings which control the sampler's number of samples are reduced so it
        terminates as quickly as possible.
        """
        return {
            **config_dict,
            "n_like_max": 1,
        }

I think we can just input a dictionary into this function in SearchConfig to ensure it stays generic.