def test_get_subgroups(self):
# Model group with pointless inner groups
root_group = group = ModelGroup('sequence')
subgroups = []
for k in range(4):
for _ in range(k + 1):
group.append(ParticleMixin())
group.append(ModelGroup('sequence'))
subgroups.append(group)
group = group[-1]
self.assertListEqual(root_group.get_subgroups(group), subgroups)
self.assertListEqual(root_group.get_subgroups(subgroups[-1][0]),
subgroups)
self.assertListEqual(root_group.get_subgroups(subgroups[-2][0]),
subgroups[:-1])
self.assertListEqual(root_group.get_subgroups(subgroups[-3][0]),
subgroups[:-2])
self.assertListEqual(root_group.get_subgroups(subgroups[-4][0]),
subgroups[:-3])
with self.assertRaises(XMLSchemaModelError):
root_group.get_subgroups(ParticleMixin())
# Model group with an excessive depth
root_group = group = ModelGroup('sequence')
for k in range(18):
group.append(ParticleMixin())
group.append(ModelGroup('sequence'))
group = group[1]
with self.assertRaises(XMLSchemaModelDepthError):
root_group.get_subgroups(group)
def test_overall_min_occurs(self):
root_group = group = ModelGroup('sequence')
subgroups = []
for k in range(4):
group.append(ParticleMixin())
group.append(ModelGroup('sequence', max_occurs=10))
subgroups.append(group)
group = group[-1]
self.assertEqual(root_group.overall_min_occurs(group), 1)
root_group[1].min_occurs = 0
self.assertEqual(root_group.overall_min_occurs(group), 0)
root_group[1][1].min_occurs = 2
self.assertEqual(root_group.overall_min_occurs(group), 0)
root_group[1].min_occurs = 1
self.assertEqual(root_group.overall_min_occurs(group), 2)
root_group[1].min_occurs = 3
self.assertEqual(root_group.overall_min_occurs(group), 6)
root_group = group = ModelGroup('choice')
subgroups = []
for k in range(4):
group.append(ParticleMixin())
group.append(ModelGroup('choice', max_occurs=10))
subgroups.append(group)
group = group[-1]
self.assertEqual(root_group.overall_min_occurs(group), 0)
def test_effective_min_occurs(self):
group = ModelGroup('sequence')
self.assertEqual(group.effective_min_occurs, 0)
group.append(ParticleMixin())
self.assertEqual(group.effective_min_occurs, 1)
group.append(ParticleMixin())
group[0].min_occurs = 0
self.assertEqual(group.effective_min_occurs, 1)
group.model = 'choice'
self.assertEqual(group.effective_min_occurs, 0)
group[1].min_occurs = 0
group.model = 'sequence'
self.assertEqual(group.effective_min_occurs, 0)
group.model = 'choice'
group[0].min_occurs = group[1].min_occurs = 1
self.assertEqual(group.effective_min_occurs, 1)
def test_iter_elements(self):
# Model group with pointless inner groups
root_group = group = ModelGroup('sequence')
for k in range(3):
for _ in range(k + 1):
group.append(ParticleMixin())
group.append(ModelGroup('sequence'))
group = group[-1]
particles = [e for e in root_group.iter_elements()]
self.assertEqual(len(particles), 6)
for e in particles:
self.assertIsInstance(e, ParticleMixin)
self.assertNotIsInstance(e, ModelGroup)
# Model group with no-pointless inner groups
root_group = group = ModelGroup('sequence')
for k in range(3):
for _ in range(k + 1):
group.append(ParticleMixin())
group.append(ModelGroup('sequence', max_occurs=None))
group = group[-1]
particles = [e for e in root_group.iter_elements()]
self.assertEqual(len(particles), 6)
for e in particles:
self.assertIsInstance(e, ParticleMixin)
self.assertNotIsInstance(e, ModelGroup)
root_group.min_occurs = root_group.max_occurs = 0
self.assertListEqual(list(root_group.iter_elements()), [])
# Model group with an excessive depth
root_group = group = ModelGroup('sequence')
for k in range(16):
group.append(ParticleMixin())
group.append(ModelGroup('sequence'))
group = group[1]
with self.assertRaises(XMLSchemaModelDepthError):
for _ in root_group.iter_elements():
pass
def test_effective_max_occurs(self):
group = ModelGroup('sequence')
self.assertEqual(group.effective_max_occurs, 0)
group.append(ParticleMixin())
self.assertEqual(group.effective_max_occurs, 1)
group.append(ParticleMixin())
group[0].min_occurs = group[0].max_occurs = 0
self.assertEqual(group.effective_max_occurs, 1)
group[1].min_occurs = group[1].max_occurs = 0
self.assertEqual(group.effective_max_occurs, 0)
group.append(ParticleMixin())
self.assertEqual(group.effective_max_occurs, 1)
group[2].min_occurs = 0
self.assertEqual(group.effective_max_occurs, 1)
group[0].max_occurs = None
self.assertIsNone(group.effective_max_occurs)
group[2].min_occurs = 1
group = ModelGroup('choice')
group.append(ParticleMixin())
self.assertEqual(group.effective_max_occurs, 1)
group.append(ParticleMixin())
group[0].min_occurs = group[0].max_occurs = 0
self.assertEqual(group.effective_max_occurs, 1)
group[0].max_occurs = None
self.assertIsNone(group.effective_max_occurs)
group = ModelGroup('sequence')
group.append(ParticleMixin())
self.assertEqual(group.effective_max_occurs, 1)
group[0].max_occurs = None
self.assertIsNone(group.effective_max_occurs)
def test_has_occurs_restriction(self):
group = ModelGroup('sequence')
other = ModelGroup('sequence')
other.append(ParticleMixin())
self.assertTrue(group.has_occurs_restriction(other))
group.append(ParticleMixin())
self.assertTrue(group.has_occurs_restriction(other))
for model in ['sequence', 'all', 'choice']:
group = ModelGroup(model)
group.append(ParticleMixin())
self.assertTrue(group.has_occurs_restriction(other=ParticleMixin()))
self.assertFalse(group.has_occurs_restriction(other=ParticleMixin(2, 2)))
self.assertTrue(group.has_occurs_restriction(other=ParticleMixin(1, None)))
group.max_occurs = None
self.assertFalse(group.has_occurs_restriction(other=ParticleMixin()))
self.assertTrue(group.has_occurs_restriction(other=ParticleMixin(1, None)))
def test_is_empty(self):
self.assertFalse(self.schema.elements['cars'].is_empty())
self.assertFalse(ParticleMixin().is_empty())
self.assertTrue(ParticleMixin(min_occurs=0, max_occurs=0).is_empty())