How to use the smelli.util.get_datapath function in smelli

def _get_yaml_path(self, name):
        """Return a path for the YAML file specified by `name`.
        If a YAML file with that name is found in the package's data
        directory, that is used. Otherwise, `name` is assumed to be a path.

        Raises `FileNotFoundError` if path does not exists.
        """
        path = get_datapath('smelli', 'data/yaml/' + name)
        if os.path.exists(path):
            return path
        path = get_datapath('smelli', 'data/yaml/' + name + '.yaml')
        if os.path.exists(path):
            return path
        if os.path.exists(name):
            return name
        if os.path.exists(name + '.yaml'):
            return name + '.yaml'
        else:
            raise FileNotFoundError("Likelihood YAML file '{}' was not found".format(name))

def _get_yaml_path(self, name):
        """Return a path for the YAML file specified by `name`.
        If a YAML file with that name is found in the package's data
        directory, that is used. Otherwise, `name` is assumed to be a path.

        Raises `FileNotFoundError` if path does not exists.
        """
        path = get_datapath('smelli', 'data/yaml/' + name)
        if os.path.exists(path):
            return path
        path = get_datapath('smelli', 'data/yaml/' + name + '.yaml')
        if os.path.exists(path):
            return path
        if os.path.exists(name):
            return name
        if os.path.exists(name + '.yaml'):
            return name + '.yaml'
        else:
            raise FileNotFoundError("Likelihood YAML file '{}' was not found".format(name))

self._ckm_scheme_name = ckm_scheme
        except:
            raise ValueError("CKM scheme '{}' is not defined.".format(ckm_scheme))
        self.likelihoods = {}
        self.fast_likelihoods = {}
        self._custom_likelihoods_dict = custom_likelihoods or {}
        self.custom_likelihoods = {}
        self._load_likelihoods(include_likelihoods=include_likelihoods,
                               exclude_likelihoods=exclude_likelihoods)
        self._Nexp = Nexp
        if exp_cov_folder is not None:
            self.load_exp_covariances(exp_cov_folder)
        self._sm_cov_loaded = False
        try:
            if sm_cov_folder is None:
                self.load_sm_covariances(get_datapath('smelli', 'data/cache'))
            else:
                self.load_sm_covariances(sm_cov_folder)
            self._sm_cov_loaded = True
            self.make_measurement()
        except (KeyboardInterrupt, SystemExit):
            raise
        except:
            warnings.warn("There was a problem loading the SM covariances. "
                          "Please recompute them with `make_measurement`.")
        self._log_likelihood_sm = None
        self._obstable_sm = None