def test_result_exporter(self):
polarity = -1
exp_settings = ExperimentalSettings(10, polarity, is_dims_experiment=False)
peakels = PeakListReader(op.normcase("mzos/ressources/peaks_matrix_NEG.tsv"), exp_settings).get_peakels()
##annotation##
peakels_annotator = PeakelsAnnotator(peakels, exp_settings)
best_monos = peakels_annotator.annotate_()
##database finding##
db_search = DatabaseSearch('hmdb', exp_settings)
nb_metabs, not_found = db_search.assign_formula(peakels, exp_settings.mz_tol_ppm)
##scoring
#first simplistic
model = StatsModel(peakels, exp_settings.mz_tol_ppm * 1.5)
#populate annotations objects
model.calculate_score()
##scoring 2##
bi = BayesianInferer(peakels, exp_settings)
#populate annotations object
bi.infer_assignment_probabilities()
exporter = ResultsExporter(op.normcase("annotations.tsv"), peakels)
exporter.write()
