def test_Example5():
statemachine = Example5(XIter(testdata), init_state='low')
print(statemachine.__dict__)
# Calling statemachine() should iterate over the test data and return the
# processed values as list::
print(statemachine()) # only printed if something goes wrong
# reset the data iterator as it is "used up" now
statemachine.data = XIter(testdata)
assert statemachine() == [
'l(1)', 'l(2)', 'l(3)', 'h(4)', 'h(5)', 'h(4)', None, 'l(3)', 'l(2)',
'l(1)'
]
def __iter__(self):
"""Generate and return an iterator
* convert `data` to an iterator queue
* convert the state generators into iterators
* (re) set the state_handler attribute to the init-state
* pass control to the active states state_handler
which should call and process next(self.data_iterator.next)
"""
self.data_iterator = XIter(self.data) # queue with `appendleft` method
self._initialize_state_generators()
self.state_handler = getattr(self, self.init_state)
# now start the iteration
while True:
yield self.state_handler()
