class complex_value(HasTraits):
num1 = Trait(1, TraitRange(1, 5), TraitRange(-5, -1))
num2 = Trait(
1,
TraitRange(1, 5),
TraitPrefixList("one", "two", "three", "four", "five"),
)
num3 = Trait(
1,
TraitRange(1, 5),
TraitPrefixMap({"one": 1, "two": 2, "three": 3, "four": 4, "five": 5}),
)
num4 = Trait(1, Trait(1, Tuple, slow), 10)
num5 = Trait(1, 10, Trait(1, Tuple, slow))
class AnOddClass(HasTraits):
oddball = Trait(1, TraitOddInteger())
very_odd = Trait(-1, TraitOddInteger(), TraitRange(-10, -1))
class FloatRangeTrait(HasTraits):
value = Trait(3.0, TraitRange(2.0, 5.0))
class IntRangeTrait(HasTraits):
value = Trait(3, TraitRange(2, 5))
# Uncommenting the following line allows
# the last assertions to pass. However, this
# may not be intended behavior, so keeping
# the line commented.
# del parent2.value
self.assertEqual(obj.value, 99.0)
self.assertEqual(parent1.value, 99.0)
self.assertEqual(parent2.value, 99.0)
self.assertEqual(parent3.value, 99.0)
# Complex(i.e. 'composite') Traits tests:
# Make a TraitCompound handler that does not have a fast_validate so we can
# check for a particular regression.
slow = Trait(1, TraitRange(1, 3), TraitRange(-3, -1))
try:
del slow.handler.fast_validate
except AttributeError:
pass
class complex_value(HasTraits):
num1 = Trait(1, TraitRange(1, 5), TraitRange(-5, -1))
num2 = Trait(
1,
TraitRange(1, 5),
TraitPrefixList("one", "two", "three", "four", "five"),
)
num3 = Trait(
1,