def test_get_peptide(self): r = Run([], {}, "run1", "file1.txt", filename="file1.csv", aligned_filename="file1.tsv") r.all_precursor_groups_ = dict( [ (str(i), MockPrecursorGroup(i)) for i in range(5) ] ) self.assertEqual( r.getPrecursorGroup("2").id_, 2) self.assertIsNone( r.getPrecursorGroup("9_dummy")) ids = sorted([p.id_ for p in r]) self.assertEqual( ids, range(5))
def test_get_best_peaks(self): r = Run([], {}, "run1", "file1.txt", filename="file1.csv", aligned_filename="file1.tsv") r.all_precursor_groups_ = dict([(str(i), MockPrecursorGroup(i)) for i in range(5)]) self.assertEqual(r.get_best_peaks(), ["42" for i in range(5)])
def test_get_peptide(self): r = Run([], {}, "run1", "file1.txt", filename="file1.csv", aligned_filename="file1.tsv") r.all_precursor_groups_ = dict([(str(i), MockPrecursorGroup(i)) for i in range(5)]) self.assertEqual(r.getPrecursorGroup("2").id_, 2) self.assertIsNone(r.getPrecursorGroup("9_dummy")) ids = sorted([p.id_ for p in r]) self.assertEqual(ids, list(range(5)))
def test_get_best_peaks(self): r = Run([], {}, "run1", "file1.txt", filename="file1.csv", aligned_filename="file1.tsv") r.all_precursor_groups_ = dict( [ (str(i), MockPrecursorGroup(i)) for i in range(5) ] ) self.assertEqual( r.get_best_peaks(), ["42" for i in range(5)] )