How to use the pyqmc.hdftools.setup_hdf function in pyqmc

def ortho_hdf(hdf_file, data, attr, configs, parameters):

    if hdf_file is not None:
        with h5py.File(hdf_file, "a") as hdf:
            if "configs" not in hdf.keys():
                hdftools.setup_hdf(hdf, data, attr)
                hdf.create_dataset("configs", configs.configs.shape)
                for k, it in parameters.items():
                    hdf.create_dataset("wf/" + k, data=it)

            hdftools.append_hdf(hdf, data)
            hdf["configs"][:, :, :] = configs.configs
            for k, it in parameters.items():
                hdf["wf/" + k][...] = it.copy()

def opt_hdf(hdf_file, data, attr, configs, parameters):
    import pyqmc.hdftools as hdftools

    if hdf_file is not None:
        with h5py.File(hdf_file, "a") as hdf:
            if "configs" not in hdf.keys():
                hdftools.setup_hdf(hdf, data, attr)
                configs.initialize_hdf(hdf)
                hdf.create_group("wf")
                for k, it in parameters.items():
                    hdf.create_dataset("wf/" + k, data=it)
            hdftools.append_hdf(hdf, data)
            configs.to_hdf(hdf)
            for k, it in parameters.items():
                hdf["wf/" + k][...] = it.copy()

def dmc_file(hdf_file, data, attr, configs, weights):
    import pyqmc.hdftools as hdftools

    if hdf_file is not None:
        with h5py.File(hdf_file, "a") as hdf:
            if "configs" not in hdf.keys():
                hdftools.setup_hdf(hdf, data, attr)
                configs.initialize_hdf(hdf)
            if "weights" not in hdf.keys():
                hdf.create_dataset("weights", weights.shape)
            hdftools.append_hdf(hdf, data)
            configs.to_hdf(hdf)
            hdf["weights"][:] = weights

def vmc_file(hdf_file, data, attr, configs):
    import pyqmc.hdftools as hdftools

    if hdf_file is not None:
        with h5py.File(hdf_file, "a") as hdf:
            if "configs" not in hdf.keys():
                hdftools.setup_hdf(hdf, data, attr)
                configs.initialize_hdf(hdf)
            hdftools.append_hdf(hdf, data)
            configs.to_hdf(hdf)