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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def setup_foreground_minifollowups(workflow, coinc_file, single_triggers, tmpltbank_file, insp_segs, insp_data_name, insp_anal_name, dax_output, out_dir, tags=None):
 """ Create plots that followup the Nth loudest coincident injection from a statmap produced HDF file. Parameters workflow: pycbc.workflow.Workflow The core workflow instance we are populating coinc_file: single_triggers: list of pycbc.workflow.File A list cointaining the file objects associated with the merged single detector trigger files for each ifo. tmpltbank_file: pycbc.workflow.File The file object pointing to the HDF format template bank insp_segs: SegFile The segment file containing the data read and analyzed by each inspiral job. insp_data_name: str The name of the segmentlist storing data read. insp_anal_name: str The name of the segmentlist storing data analyzed. out_dir: path The directory to store minifollowups result plots and files tags: {None, optional} Tags to add to the minifollowups executables Returns ------- layout: list A list of tuples which specify the displayed file layout for the minifollops plots. """

    logging.info('Entering minifollowups module')

    if not workflow.cp.has_section('workflow-minifollowups'):
        logging.info('There is no [workflow-minifollowups] section in configuration file')
        logging.info('Leaving minifollowups')
        return

    tags = [] if tags is None else tags
    makedir(dax_output)

    # turn the config file into a File class
    config_path = os.path.abspath(dax_output + '/' + '_'.join(tags) + 'foreground_minifollowup.ini')
    workflow.cp.write(open(config_path, 'w'))

    config_file = wdax.File(os.path.basename(config_path))
    config_file.PFN(urlparse.urljoin('file:', urllib.pathname2url(config_path)),
                    site='local')

    exe = Executable(workflow.cp, 'foreground_minifollowup', ifos=workflow.ifos, out_dir=dax_output)

    node = exe.create_node()
    node.add_input_opt('--config-files', config_file)
    node.add_input_opt('--bank-file', tmpltbank_file)
    node.add_input_opt('--statmap-file', coinc_file)
    node.add_multiifo_input_list_opt('--single-detector-triggers', single_triggers)
    node.add_input_opt('--inspiral-segments', insp_segs)
    node.add_opt('--inspiral-data-read-name', insp_data_name)
    node.add_opt('--inspiral-data-analyzed-name', insp_anal_name)
    node.new_output_file_opt(workflow.analysis_time, '.dax', '--output-file', tags=tags)
    node.new_output_file_opt(workflow.analysis_time, '.dax.map', '--output-map', tags=tags)
    node.new_output_file_opt(workflow.analysis_time, '.tc.txt', '--transformation-catalog', tags=tags)

    name = node.output_files[0].name
    map_file = node.output_files[1]
    tc_file = node.output_files[2]

    node.add_opt('--workflow-name', name)
    node.add_opt('--output-dir', out_dir)

    workflow += node

    # execute this in a sub-workflow
    fil = node.output_files[0]

    # determine if a staging site has been specified
    try:
        staging_site = workflow.cp.get('workflow-foreground_minifollowups',
                                       'staging-site')
    except:
        staging_site = None

    job = dax.DAX(fil)
    job.addArguments('--basename %s' % os.path.splitext(os.path.basename(name))[0])
    Workflow.set_job_properties(job, map_file, tc_file, staging_site=staging_site)
    workflow._adag.addJob(job)
    dep = dax.Dependency(parent=node._dax_node, child=job)
    workflow._adag.addDependency(dep)
    logging.info('Leaving minifollowups module')