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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 run_radia(job, rna_bam, tumor_bam, normal_bam, univ_options, radia_options):
 """ Spawn a RADIA job for each chromosome on the input bam trios. :param dict rna_bam: Dict of bam and bai for tumor DNA-Seq. It can be one of two formats rna_bam: # Just the genomic bam and bai |- 'rna_genome_sorted.bam': fsID +- 'rna_genome_sorted.bam.bai': fsID OR rna_bam: # The output from run_star |- 'rna_transcriptome.bam': fsID |- 'rna_genome': # Only this part will be used |- 'rna_genome_sorted.bam': fsID +- 'rna_genome_sorted.bam.bai': fsID :param dict tumor_bam: Dict of bam and bai for tumor DNA-Seq :param dict normal_bam: Dict of bam and bai for normal DNA-Seq :param dict univ_options: Dict of universal options used by almost all tools :param dict radia_options: Options specific to RADIA :return: Dict of results from running RADIA on every chromosome perchrom_radia: |- 'chr1': fsID |- 'chr2' fsID | | +- 'chrM': fsID :rtype: dict """

    if 'rna_genome' in rna_bam.keys():
        rna_bam = rna_bam['rna_genome']
    elif set(rna_bam.keys()) == {'rna_genome_sorted.bam', 'rna_genome_sorted.bam.bai'}:
        pass
    else:
        raise RuntimeError('An improperly formatted dict was passed to rna_bam.')
        
    bams = {'tumor_rna': rna_bam['rna_genome_sorted.bam'],
            'tumor_rnai': rna_bam['rna_genome_sorted.bam.bai'],
            'tumor_dna': tumor_bam['tumor_dna_fix_pg_sorted.bam'],
            'tumor_dnai': tumor_bam['tumor_dna_fix_pg_sorted.bam.bai'],
            'normal_dna': normal_bam['normal_dna_fix_pg_sorted.bam'],
            'normal_dnai': normal_bam['normal_dna_fix_pg_sorted.bam.bai']}
    # Get a list of chromosomes to process
    if radia_options['chromosomes']:
        chromosomes = radia_options['chromosomes']
    else:
        chromosomes = sample_chromosomes(job, radia_options['genome_fai'])
    perchrom_radia = defaultdict()
    for chrom in chromosomes:
        radia = job.addChildJobFn(run_radia_perchrom, bams, univ_options, radia_options, chrom,
                                  memory='6G',
                                  disk=PromisedRequirement(
                                      radia_disk, tumor_bam['tumor_dna_fix_pg_sorted.bam'],
                                      normal_bam['normal_dna_fix_pg_sorted.bam'],
                                      rna_bam['rna_genome_sorted.bam'],
                                      radia_options['genome_fasta']))
        filter_radia = radia.addChildJobFn(run_filter_radia, bams, radia.rv(), univ_options,
                                           radia_options, chrom, memory='6G',
                                           disk=PromisedRequirement(
                                               radia_disk, tumor_bam['tumor_dna_fix_pg_sorted.bam'],
                                               normal_bam['normal_dna_fix_pg_sorted.bam'],
                                               rna_bam['rna_genome_sorted.bam'],
                                               radia_options['genome_fasta']))
        perchrom_radia[chrom] = filter_radia.rv()
    job.fileStore.logToMaster('Ran spawn_radia on %s successfully' % univ_options['patient'])
    return perchrom_radia