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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 parse_sampleinfo(data: dict) -> dict: """Parse MIP sample info file. Args: data (dict):
 raw YAML input from MIP qc sample info file Returns: dict: parsed data """


    genome_build = data['human_genome_build']
    genome_build_str = f"{genome_build['source']}{genome_build['version']}"
    if 'svdb' in data['program']:
        svdb_outpath = (f"{data['program']['svdb']['path']}")
    else:
        svdb_outpath = ''
    outdata = {
        'date': data['analysis_date'],
        'family': data['family'],
        'genome_build': genome_build_str,
        'rank_model_version': data['program']['genmod']['rank_model']['version'],
        'is_finished': True if data['analysisrunstatus'] == 'finished' else False,
        'pedigree_path': data['pedigree_minimal'],
        'peddy': {
            'ped': (data['program']['peddy']['peddy']['path'] if
                    'peddy' in data['program'] else None),
            'ped_check': (data['program']['peddy']['ped_check']['path'] if
                          'peddy' in data['program'] else None),
            'sex_check': (data['program']['peddy']['sex_check']['path'] if
                          'peddy' in data['program'] else None),
        },
        'qcmetrics_path': data['program']['qccollect']['path'],
        'samples': [],
        'snv': {
            'bcf': data['most_complete_bcf']['path'],
            'clinical_vcf': data['vcf_binary_file']['clinical']['path'],
            'gbcf': data['gbcf_file']['path'],
            'research_vcf': data['vcf_binary_file']['research']['path'],
        },
        'svdb_outpath': svdb_outpath,
        'sv': {
            'bcf': data.get('sv_bcf_file', {}).get('path'),
            'clinical_vcf': (data['sv_vcf_binary_file']['clinical']['path'] if
                             'sv_vcf_binary_file' in data else None),
            'merged': svdb_outpath,
            'research_vcf': (data['sv_vcf_binary_file']['research']['path'] if
                             'sv_vcf_binary_file' in data else None),
        },
        'version': data['mip_version'],
    }

    for sample_id, sample_data in data['sample'].items():
        sample = {
            'id': sample_id,
            'bam': sample_data['most_complete_bam']['path'],
            'sambamba': list(sample_data['program']['sambamba_depth'].values())[0]['path'],
            'sex': sample_data['sex'],
            # subsample mt is only for wgs data
            'subsample_mt': (list(sample_data['program']['samtools_subsample_mt'].values())[0]['path'] if
                             'samtools_subsample_mt' in sample_data['program'] else None),
            'vcf2cytosure': list(sample_data['program']['vcf2cytosure'].values())[0]['path'],
        }
        chanjo_sexcheck = list(sample_data['program']['chanjo_sexcheck'].values())[0]
        sample['chanjo_sexcheck'] = chanjo_sexcheck['path']
        outdata['samples'].append(sample)

    return outdata