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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 get_relative_abundance(biomfile):
 """ Return arcsine transformed relative abundance from a BIOM format file. :type biomfile: BIOM format file :param biomfile: BIOM format file used to obtain relative abundances for each OTU in a SampleID, which are used as node sizes in network plots. :type return: Dictionary of dictionaries. :return: Dictionary keyed on SampleID whose value is a dictionarykeyed on OTU Name whose value is the arc sine tranfsormed relative abundance value for that SampleID-OTU Name pair. """

    biomf = biom.load_table(biomfile)
    norm_biomf = biomf.norm(inplace=False)
    rel_abd = {}
    for sid in norm_biomf.ids():
        rel_abd[sid] = {}
        for otuid in norm_biomf.ids("observation"):
            otuname = oc.otu_name(norm_biomf.metadata(otuid, axis="observation")["taxonomy"])
            otuname = " ".join(otuname.split("_"))
            abd = norm_biomf.get_value_by_ids(otuid, sid)
            rel_abd[sid][otuname] = abd
    ast_rel_abd = bc.arcsine_sqrt_transform(rel_abd)
    return ast_rel_abd