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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 _segment_normalized_cnvkit(cnr_file, work_dir, paired):
 """Segmentation of normalized inputs using CNVkit. """

    cnvkit_base = os.path.join(utils.safe_makedir(os.path.join(work_dir, "cnvkit")),
                                dd.get_sample_name(paired.tumor_data))
    cnr_file = chromhacks.bed_to_standardonly(cnr_file, paired.tumor_data, headers="chromosome",
                                                include_sex_chroms=True,
                                                out_dir=os.path.dirname(cnvkit_base))
    cnr_file = _remove_overlaps(cnr_file, os.path.dirname(cnvkit_base), paired.tumor_data)
    seg_file = cnvkit.segment_from_cnr(cnr_file, paired.tumor_data, cnvkit_base)
    return cnr_file, seg_file