How to use the fitlins.interfaces.bids.BIDSDataSink function in fitlins

field_to_metadata_map={
                    'effect_maps': {'stat': 'effect'},
                    'variance_maps': {'stat': 'variance'},
                    'pvalue_maps': {'stat': 'p'},
                    'zscore_maps': {'stat': 'z'},
                }),
            name=f'collate_{level}_outputs')

        ds_contrast_maps = pe.Node(
            BIDSDataSink(base_directory=out_dir,
                         path_patterns=contrast_pattern),
            run_without_submitting=True,
            name='ds_{}_contrast_maps'.format(level))

        ds_contrast_plots = pe.Node(
            BIDSDataSink(base_directory=out_dir,
                         path_patterns=contrast_plot_pattern),
            run_without_submitting=True,
            name='ds_{}_contrast_plots'.format(level))

        if ix == 0:
            wf.connect([
                (loader, select_entities, [('entities', 'inlist')]),
                (select_entities, getter,  [('out', 'entities')]),
                (select_entities, ds_model_warnings,  [('out', 'entities')]),
                (select_entities, ds_design, [('out', 'entities')]),
                (select_entities, ds_design_matrix, [('out', 'entities')]),
                (plot_design, ds_design, [('figure', 'in_file')]),
                (select_contrasts, plot_l1_contrast_matrix,  [('out', 'contrast_info')]),
                (select_contrasts, plot_corr,  [('out', 'contrast_info')]),
                (select_entities, ds_l1_contrasts, [('out', 'entities')]),
                (select_entities, ds_corr, [('out', 'entities')]),

name='plot_corr')

    plot_l1_contrast_matrix = pe.MapNode(
        ContrastMatrixPlot(image_type='svg'),
        iterfield=['data', 'contrast_info'],
        name='plot_l1_contrast_matrix')

    ds_design = pe.MapNode(
        BIDSDataSink(base_directory=out_dir, fixed_entities={'suffix': 'design'},
                     path_patterns=image_pattern),
        iterfield=['entities', 'in_file'],
        run_without_submitting=True,
        name='ds_design')

    ds_design_matrix = pe.MapNode(
        BIDSDataSink(base_directory=out_dir, fixed_entities={'suffix': 'design'},
                     path_patterns=design_matrix_pattern),
        iterfield=['entities', 'in_file'],
        run_without_submitting=True,
        name='ds_design_matrix')

    ds_corr = pe.MapNode(
        BIDSDataSink(base_directory=out_dir, fixed_entities={'suffix': 'corr'},
                     path_patterns=image_pattern),
        iterfield=['entities', 'in_file'],
        run_without_submitting=True,
        name='ds_corr')

    ds_l1_contrasts = pe.MapNode(
        BIDSDataSink(base_directory=out_dir, fixed_entities={'suffix': 'contrasts'},
                     path_patterns=image_pattern),
        iterfield=['entities', 'in_file'],

'[sub-{subject}_][ses-{session}_]task-{task}[_acq-{acquisition}]' \
        '[_rec-{reconstruction}][_run-{run}][_echo-{echo}][_space-{space}]_' \
        'contrast-{contrast}_stat-{stat}_statmap.nii.gz'

    # Set up general interfaces
    #
    # HTML snippets to be included directly in report, not
    # saved as individual derivative files
    #

    reportlet_dir = Path(base_dir) / 'reportlets' / 'fitlins'
    reportlet_dir.mkdir(parents=True, exist_ok=True)
    snippet_pattern = '[sub-{subject}/][ses-{session}/][sub-{subject}_]' \
        '[ses-{session}_]task-{task}_[run-{run}_]snippet.html'
    ds_model_warnings = pe.MapNode(
        BIDSDataSink(base_directory=str(reportlet_dir),
                     path_patterns=snippet_pattern),
        iterfield=['entities', 'in_file'],
        run_without_submitting=True,
        name='ds_model_warning')

    plot_design = pe.MapNode(
        DesignPlot(image_type='svg'),
        iterfield='data',
        name='plot_design')

    plot_corr = pe.MapNode(
        DesignCorrelationPlot(image_type='svg'),
        iterfield=['data', 'contrast_info'],
        name='plot_corr')

    plot_l1_contrast_matrix = pe.MapNode(