def test_scalar_set_default():
el = Integer()
el.set_default()
assert el.value is None
el = Integer(default=10)
el.set_default()
assert el.value == 10
el = Integer(default_factory=lambda e: 20)
el.set_default()
assert el.value == 20
def test_scalar_set_signal():
data = []
sentinel = lambda sender, adapted: data.append((sender, adapted))
Integer(0)
with element_set.connected_to(sentinel):
Integer(1)
Integer(u'bogus')
assert len(data) == 2
assert data[0][0].value == 1
assert data[0][1] is True
assert data[1][0].raw == u'bogus'
assert data[1][1] is False
def test_sparsedict_flattening():
schema = SparseDict.named(u'top').\
of(Integer.named(u'x'), Integer.named(u'y'))
els = [
schema({u'x': 123, u'y': 456}),
schema(),
schema(),
schema(),
]
els[1].set({u'x': 123, u'y': 456})
els[2][u'x'] = 123
els[2][u'y'] = 456
els[3][u'x'] = Integer(123)
els[3][u'y'] = Integer(456)
wanted = [(u'top_x', u'123'), (u'top_y', u'456')]
for el in els:
got = sorted(el.flatten())
assert wanted == got
def test_binops():
schema = Dict.of(Integer.named(u'main'),
Ref.named(u'aux').to(u'../main'), Integer.named(u'other'))
el = schema({u'main': 5})
assert el[u'aux'] == Integer(5)
assert el[u'aux'].value == 5
assert el[u'aux'].u == u'5'
assert Integer(5) == el[u'aux']
assert 5 == el[u'aux'].value
assert u'5' == el[u'aux'].u
assert el[u'aux'] != Integer(6)
assert el[u'aux'].value != 6
assert el[u'aux'].u != u'6'
assert Integer(6) != el[u'aux']
assert 6 != el[u'aux']
assert u'6' != el[u'aux']
assert el[u'aux'] == el[u'main']
assert el[u'main'] == el[u'aux']
assert el[u'aux'] != el[u'other']
assert el[u'other'] != el[u'aux']
def integer_scalar(value):
return Integer(value, name=u'test')