def test_spikequeue():
N = 100
synapses, delays = create_one_to_one(N)
queue = SpikeQueue()
queue.compress(delays, synapses, N)
queue.push(np.arange(N, dtype=np.int32), delays)
for i in xrange(N):
assert_equal(queue.peek(), np.array([i]))
queue.next()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.next()
synapses, delays = create_all_to_all(N)
queue = SpikeQueue()
queue.compress(delays, synapses, N * N)
queue.push(np.arange(N * N, dtype=np.int32), delays)
for i in xrange(N):
assert_equal(queue.peek(), i * N + np.arange(N))
queue.next()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.next()
def test_spikequeue():
N = 100
dt = float(0.1*ms)
synapses, delays = create_one_to_one(N, dt)
queue = SpikeQueue(source_start=0, source_end=N)
queue.prepare(delays[:], dt, synapses)
queue.push(np.arange(N, dtype=np.int32))
for i in xrange(N):
assert_equal(queue.peek(), np.array([i]))
queue.advance()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.advance()
synapses, delays = create_all_to_all(N, dt)
queue = SpikeQueue(source_start=0, source_end=N)
queue.prepare(delays[:], dt, synapses)
queue.push(np.arange(N*N, dtype=np.int32))
for i in xrange(N):
assert_equal(queue.peek(), i*N + np.arange(N))
queue.advance()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.advance()
def test_spikequeue():
N = 100
synapses, delays = create_one_to_one(N)
queue = SpikeQueue()
queue.compress(delays, synapses, N)
queue.push(np.arange(N, dtype=np.int32), delays)
for i in xrange(N):
assert_equal(queue.peek(), np.array([i]))
queue.next()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.next()
synapses, delays = create_all_to_all(N)
queue = SpikeQueue()
queue.compress(delays, synapses, N*N)
queue.push(np.arange(N*N, dtype=np.int32), delays)
for i in xrange(N):
assert_equal(queue.peek(), i*N + np.arange(N))
queue.next()
for i in xrange(N):
assert_equal(queue.peek(), np.array([]))
queue.next()