def test_pop_2(self):
q = Queue()
q.put(2)
q.put(1)
self.assertEqual(q.pop(), 2)
self.assertEqual(q.pop(), 1)
self.assertTrue(q.empty())
class EventsHub:
"""Implements an event aggregator to gather events from both interfaces as well as the application itself.
Similar to an Observer pattern.
Warning:
Events need to be processed regularly by calling `.handle_events()`
to avoid overflowing the event queue.
Events types:
- pygame events (mouse / key press / quit)
- tkinter events (mouse / key press / quit)
- all buttons
- application events, like "AnimationFinished" event
"""
def __init__(self):
self._events = Queue()
self._callbacks = {}
def raise_event(self, event):
self._events.put(event)
def add_callback(self, event_name, callback):
self._callbacks.setdefault(event_name, []).append(callback)
def handle_events(self):
while not self._events.empty():
event = self._events.pop()
if event.type in [Event.QUIT, Event.NEWFRAME]:
# print("Handling", event, self._callbacks.get(event.type, []))
pass
for callback in self._callbacks.get(event.type, []):
callback(event)
def print_weights(self):
q = Queue()
layer = 0
for neuron in self.input_layer:
q.put((neuron, layer + 1))
while not q.empty():
neuron, cur_layer = q.pop()
if cur_layer > layer and cur_layer < self.nlayers:
print "\nlayer %d:" % cur_layer,
layer = cur_layer
for connection in neuron.outputs:
q.put((connection.tar, layer + 1))
for connection in neuron.outputs:
print connection.w,
print # print new line
def test_put_1(self):
q = Queue()
q.put(1)
self.assertEqual(q.top(), 1)
def test_pop_exception(self):
with self.assertRaises(AssertionError):
q = Queue()
q.put(1)
q.pop()
q.pop()
def test_put_2(self):
q = Queue()
q.put(2)
self.assertFalse(q.empty())
q.put(1)
self.assertEqual(q.top(), 2)
