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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 wrap_rankboost(job, rsem_files, merged_mhc_calls, transgene_out, univ_options, rankboost_options):
 """ A wrapper for boost_ranks. :param dict rsem_files: Dict of results from rsem :param dict merged_mhc_calls: Dict of results from merging mhc peptide binding predictions :param dict transgene_out: Dict of results from running Transgene :param dict univ_options: Dict of universal options used by almost all tools :param dict rankboost_options: Options specific to rankboost :return: Dict of concise and detailed results for mhci and mhcii output_files: |- 'mhcii_rankboost_concise_results.tsv': fsID |- 'mhcii_rankboost_detailed_results.txt': fsID |- 'mhci_rankboost_concise_results.tsv': fsID +- 'mhci_rankboost_detailed_results.txt': fsID :rtype: dict """

    rankboost = job.addChildJobFn(boost_ranks, rsem_files['rsem.isoforms.results'],
                                  merged_mhc_calls, transgene_out, univ_options, rankboost_options)

    return rankboost.rv()