def test_observation_set_csv_converter(self):
obs1 = Observation('foo')
obs2 = Observation('bar')
obs_set = ObservationSet([obs1, obs2])
d = obs_set.to_dict()
c = ObservationSetCsvConverter()
# order doesn't matter, so need to check both orders:
converted_input = c.convert('xyz', d, '', '')
self.assertTrue(({
'xyz': 'foo,bar'
} == converted_input)
| ({
'xyz': 'bar,foo'
} == converted_input))
def test_observation_set_list_converter(self):
'''
Tests that we get properly formatted JSON-compatible
arrays (of strings in this case). Used when we need to
supply a WDL job with a list of relevant samples as an
array of strings, for instance.
'''
obs1 = Observation('foo')
obs2 = Observation('bar')
obs_set = ObservationSet([obs1, obs2])
d = obs_set.to_dict()
c = ObservationSetListConverter()
# order doesn't matter, so need to check both orders:
converted_input = c.convert('xyz', d, '', '')
self.assertTrue(({
'xyz': ['foo', 'bar']
} == converted_input)
| ({
'xyz': ['bar', 'foo']
} == converted_input))
