def gen_fn(*input_values):
if not self.test(*input_values):
return
# TODO: recover input_objects from input_values
selected_objects = select_inputs(stream_instance, inputs)
#for _ in irange(self.num):
for _ in irange(stream_instance.num_optimistic):
yield [tuple(SharedOptValue(stream.name, inputs, selected_objects, out)
for out in stream.outputs)]
def gen_fn(*input_values):
if not self.test(*input_values):
return
# TODO: recover input_objects from input_values
selected_objects = select_inputs(instance, inputs)
for idx in irange(instance.num_optimistic): # self.num
# if len(inputs) == len(external.inputs):
# yield [tuple(UniqueOptValue(instance, idx, out)
# for out in external.outputs)]
# else:
yield [
tuple(
SharedOptValue(external.name, inputs, selected_objects,
out) for out in external.outputs)
]