for i in range(1,9):
lane = eland.results[0][i]
- self.failUnlessEqual(lane.reads, 4)
+ self.failUnlessEqual(lane.reads, 6)
self.failUnlessEqual(lane.sample_name, "s")
self.failUnlessEqual(lane.lane_id, i)
- self.failUnlessEqual(len(lane.mapped_reads), 15)
+ self.failUnlessEqual(len(lane.mapped_reads), 17)
self.failUnlessEqual(lane.mapped_reads['hg18/chr5.fa'], 4)
- self.failUnlessEqual(lane.match_codes['U0'], 1)
+ self.failUnlessEqual(lane.mapped_reads['spike.fa/sample1'], 1)
+ self.failUnlessEqual(lane.mapped_reads['spike.fa/sample2'], 1)
+ self.failUnlessEqual(lane.match_codes['U0'], 3)
self.failUnlessEqual(lane.match_codes['R0'], 2)
self.failUnlessEqual(lane.match_codes['U1'], 1)
self.failUnlessEqual(lane.match_codes['R1'], 9)
self.failUnlessEqual(l1.sample_name, l2.sample_name)
self.failUnlessEqual(l1.lane_id, l2.lane_id)
self.failUnlessEqual(len(l1.mapped_reads), len(l2.mapped_reads))
- self.failUnlessEqual(len(l1.mapped_reads), 15)
+ self.failUnlessEqual(len(l1.mapped_reads), 17)
for k in l1.mapped_reads.keys():
self.failUnlessEqual(l1.mapped_reads[k],
l2.mapped_reads[k])