g_eland = g.eland_results
g2_eland = g2.eland_results
- for lane in g_eland.results[0].keys():
- g_results = g_eland.results[0][lane]
- g2_results = g2_eland.results[0][lane]
+ for key in g_eland:
+ g_results = g_eland[key]
+ g2_results = g2_eland[key]
self.failUnlessEqual(g_results.reads,
g2_results.reads)
self.failUnlessEqual(len(g_results.mapped_reads),
5:hg_map, 6:hg_map, 7:hg_map, 8:hg_map }
eland = gerald.eland(self.gerald_dir, genome_maps=genome_maps)
- for i in range(1,9):
- lane = eland.results[0][i]
+ for key in eland:
+ lane = eland[key]
self.failUnlessEqual(lane.reads, 6)
self.failUnlessEqual(lane.sample_name, "s")
- self.failUnlessEqual(lane.lane_id, i)
+ self.failUnlessEqual(lane.lane_id, key.lane)
self.failUnlessEqual(len(lane.mapped_reads), 17)
self.failUnlessEqual(lane.mapped_reads['hg18/chr5.fa'], 4)
self.failUnlessEqual(lane.match_codes['U0'], 3)
xml_str = ElementTree.tostring(xml)
e2 = gerald.ELAND(xml=xml)
- for i in range(1,9):
- l1 = eland.results[0][i]
- l2 = e2.results[0][i]
+ for key in eland:
+ l1 = eland[key]
+ l2 = e2[key]
self.failUnlessEqual(l1.reads, l2.reads)
self.failUnlessEqual(l1.sample_name, l2.sample_name)
self.failUnlessEqual(l1.lane_id, l2.lane_id)