How to use the pyiron.base.generic.hdfio.ProjectHDFio function in pyiron

def setUp(self):
            if self.project.load('trial') is not None:
                self.project.remove_job("trial")
            self.job = self.project.create_job("Yaff", "trial")

            if self.project.load('yaff_complete') is not None:
                self.project.remove_job("yaff_complete")
            self.job_complete = Yaff(
                project=ProjectHDFio(project=self.project, file_name="yaff_complete"),
                job_name="yaff_complete",
            )

def setUpClass(cls):
            cls.execution_path = os.path.dirname(os.path.abspath(__file__))
            cls.project = Project(os.path.join(cls.execution_path, "test_quickff"))
            cls.job = cls.project.create_job("QuickFF", "trial")
            cls.job_complete = QuickFF(
                project=ProjectHDFio(project=cls.project, file_name="quickff_complete"),
                job_name="quickff_complete",
            )

cls.pl = InputList([
                {"foo": "bar"},
                2,
                42,
                {"next":
                    [0,
                        {"depth": 23}
                    ]
                }
        ], table_name = "input")
        cls.pl["tail"] = InputList([2,4,8])

        file_location = os.path.dirname(os.path.abspath(__file__))
        pr = Project(file_location)
        cls.file_name = os.path.join(file_location, "input.h5")
        cls.hdf = ProjectHDFio(project=pr, file_name=cls.file_name,
                               h5_path="/test", mode="a")

def test_to_object(self):
        filename = os.path.join(
            os.path.dirname(os.path.abspath(__file__)),
            "../../static/atomistics",
        )
        abs_filename = os.path.abspath(filename)
        hdf_obj = ProjectHDFio(
            project=Project(abs_filename),
            file_name="test.h5"
        )
        pos, cell = generate_fcc_lattice()
        basis_store = Atoms(symbols="Al", positions=pos, cell=cell)
        basis_store.set_repeat([2, 2, 2])
        basis_store.to_hdf(hdf_obj, "simple_structure")
        basis = hdf_obj["simple_structure"].to_object()
        self.assertEqual(len(basis), 8)
        self.assertEqual(basis.get_majority_species()["symbol"], "Al")
        self.assertEqual(basis.get_spacegroup()["Number"], 225)

db_entry = db.get_item_by_id(job_id)
        if db_entry is None:
            raise ValueError("job ID {0} does not exist!".format(job_id))

        job_name = db_entry["job"]

        h5_path = None
        sub_job = db_entry["subjob"]

        if sub_job is not None:
            if len(sub_job.strip()) > 0:
                h5_path = '/'.join(sub_job.split('/')[:-1])
        hdf5_file = sub_job.split('/')[1] + '.h5'

        gp = GenericPath(root_path=db_entry["projectpath"], project_path=db_entry["project"])
        hdf_project = ProjectHDFio(project=Project(path=gp, user=user), file_name=hdf5_file, h5_path=h5_path, mode="r")
        super(JobPath, self).__init__(hdf_project, job_name)

        self.__name__ = db_entry["hamilton"]
        self.__version__ = db_entry["hamversion"]

        if 'id' in db_entry:
            self._job_id = db_entry["id"]
        self._status = db_entry["status"]
        self._master_id = db_entry["masterid"]
        self._parent_id = db_entry["parentid"]

convert_to_object (bool): convert the object to an pyiron object or only access the HDF5 file - default=True
                                      accessing only the HDF5 file is about an order of magnitude faster, but only
                                      provides limited functionality. Compare the GenericJob object to JobCore object.

        Returns:
            Project, GenericJob, JobCore, dict, list, float: basically any kind of item inside the project.
        """
        if item == "..":
            return self.parent_group
        if item in self.list_nodes():
            if self._inspect_mode or not convert_to_object:
                return self.inspect(item)
            return self.load(item)
        if item in self.list_files(extension="h5"):
            file_name = posixpath.join(self.path, "{}.h5".format(item))
            return ProjectHDFio(project=self, file_name=file_name)
        if item in self.list_files():
            file_name = posixpath.join(self.path, "{}".format(item))
            with open(file_name) as f:
                return f.readlines()
        if item in self.list_dirs():
            with self.open(item) as new_item:
                return new_item.copy()
        raise ValueError("Unknown item: {}".format(item))

convert_to_object (bool): convert the object to an pyiron object or only access the HDF5 file - default=True
                                      accessing only the HDF5 file is about an order of magnitude faster, but only
                                      provides limited functionality. Compare the GenericJob object to JobCore object.

        Returns:
            Project, GenericJob, JobCore, dict, list, float: basically any kind of item inside the project.
        """
        if item == "..":
            return self.parent_group
        if item in self.list_nodes():
            if self._inspect_mode or not convert_to_object:
                return self.inspect(item)
            return self.load(item)
        if item in self.list_files(extension="h5"):
            file_name = posixpath.join(self.path, "{}.h5".format(item))
            return ProjectHDFio(project=self, file_name=file_name)
        if item in self.list_files():
            file_name = posixpath.join(self.path, "{}".format(item))
            with open(file_name) as f:
                return f.readlines()
        if item in self.list_dirs():
            with self.open(item) as new_item:
                return new_item.copy()
        raise ValueError("Unknown item: {}".format(item))

def copy(self):
        """
        Copy the ProjectHDFio object - copying just the Python object but maintaining the same pyiron path

        Returns:
            ProjectHDFio: copy of the ProjectHDFio object
        """
        new_h5 = ProjectHDFio(project=self._project, file_name=self._file_name, h5_path=self._h5_path)
        new_h5._filter = self._filter
        return new_h5

- 'SerialMaster': series of jobs run in serial
        - 'ParallelMaster': series of jobs run in parallel
        - 'ScriptJob': Python script or jupyter notebook job container
        - 'ListMaster': list of jobs

        Args:
            job_type (str): job type can be ['ExampleJob', 'SerialMaster', 'ParallelMaster', 'ScriptJob', 'ListMaster']
            job_name (str): name of the job

        Returns:
            GenericJob: job object depending on the job_type selected
        """
        job_name = job_name.replace(".", "_")
        job = JobType(
            job_type,
            project=ProjectHDFio(project=self.copy(), file_name=job_name),
            job_name=job_name,
            job_class_dict=self.job_type.job_class_dict,
        )
        if self.user is not None:
            job.user = self.user
        return job