def _imitate_values(self):
lazy_value = LazyKnownValues(self._dict_values())
return ValueSet([FakeList(self.inference_state, [lazy_value])])
def _values(self):
return ValueSet([
FakeTuple(self.inference_state,
[LazyKnownValues(self._dict_values())])
])
def py__iter__(self, contextualized_node=None):
for keys, values in self._iterate():
yield LazyKnownValues(keys)
def py__iter__(self, contextualized_node=None):
for set_ in self._iterate():
yield LazyKnownValues(set_)
def unpack(self, funcdef=None):
for values in self._values_list:
yield None, LazyKnownValues(values)
def py__bases__(self):
return [
LazyKnownValues(
self.inference_state.builtins_module.py__getattribute__(
'object'))
]
def py__iter__(self, contextualized_node=None):
for lazy_context in self._wrapped_value.py__iter__(
contextualized_node):
yield lazy_context
yield LazyKnownValues(self._assigned_values)