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)] )
