def test_dataset_summary():
for ds in datasets.itervalues():
s = ds.summary()
ok_(s.startswith(str(ds)[1:-1])) # we strip surrounding '<...>'
# TODO: actual test of what was returned; to do that properly
# RF the summary() so it is a dictionary
summaries = ['Sequence statistics']
if 'targets' in ds.sa and 'chunks' in ds.sa:
summaries += ['Summary for targets', 'Summary for chunks']
# By default we should get all kinds of summaries
if not 'Number of unique targets >' in s:
for summary in summaries:
ok_(summary in s)
# If we give "wrong" targets_attr we should see none of summaries
s2 = ds.summary(targets_attr='bogus')
for summary in summaries:
ok_(not summary in s2)
def test_dataset_summary():
for ds in datasets.itervalues():
s = ds.summary()
ok_(s.startswith(str(ds)[1:-1])) # we strip surrounding '<...>'
