How to use the gseapy.parser.gsea_gmt_parser function in gseapy

def test_get_df(self):
        """Test getting the genes out of the csv file."""
        fc_df = read_fold_change_df(FOLD_CHANGES_EXAMPLE)

        significant_genes = filter_p_value(fc_df)
        gene_sets = gsea_gmt_parser(GMT_EXAMPLE)

        self.assertEqual(significant_genes, {'C', 'A'})
        self.assertEqual(gene_sets, {'pathway1': ['A', 'B', 'C', 'D'], 'pathway2': ['E', 'F', 'G', 'H']})

        enriched_pathways_df = perform_hypergeometric_test(
            significant_genes,
            {('pathway1', 'kegg'): ['A', 'B', 'C', 'D'], ('pathway2', 'kegg'): ['E', 'F', 'G', 'H']},
            apply_threshold=True,
        )

        self.assertIsInstance(enriched_pathways_df, pd.DataFrame)
        self.assertEqual(enriched_pathways_df.shape, (1, 4))

:return: | a dictionary where key is a gene set and values are:
        | { es: enrichment score, 
        | nes: normalized enrichment score, 
        | p: P-value, 
        | fdr: FDR, 
        | size: gene set size,
        | matched_size: genes matched to the data, 
        | genes: gene names from the data set }

    """
    assert len(data) > 1
    assert permutation_type in ["phenotype", "gene_set"]
    
    data = pd.read_table(data)
    classes = gsea_cls_parser(cls)[2]
    gmt = gsea_gmt_parser(gene_sets)
    gmt.sort()
    #Ecompute ES, NES, pval, FDR, RES
    if rank_metric is None:
        dat = ranking_metric(data,method= method,classes = classes ,ascending=ascending)
        results,hit_ind,RES = gsea_compute(data = dat, gene_list = None,rankings = None,
                    n=permutation_n,gmt = gmt, weighted_score_type=weighted_score_type,
                    permutation_type=permutation_type)
    else:
        dat = pd.read_table(rank_metric)
        results,hit_ind,RES = gsea_compute(data = None, gene_list = rank_metric['gene_name'],rankings = rank_metric['rank'].values,
                                           n=permutation_n,gmt = gmt, weighted_score_type=weighted_score_type,
                                           permutation_type=permutation_type)
    
    res = {}

    for gs, gseale in zip(gmt.keys(), list(results)):