def unpickle_SpikeContainer(m, allspikes):
newsc = SpikeContainer(m)
for spikes in allspikes[::-1]:
newsc.push(spikes)
return newsc
def unpickle_SpikeContainer(m, allspikes):
newsc = SpikeContainer(m)
for spikes in allspikes[::-1]:
newsc.push(spikes)
return newsc
import pickle
def unpickle_SpikeContainer(m, allspikes):
newsc = SpikeContainer(m)
for spikes in allspikes[::-1]:
newsc.push(spikes)
return newsc
#class SpikeContainer(SpikeContainer):
# def __init__(self, m, useweave=False, compiler=None):
# super(SpikeContainer, self).__init__(m)
# self.m = m
# def __reduce__(self):
# return (unpickle_SpikeContainer, (self.m, tuple(self[i].copy() for i in xrange(self.m))))
sc = SpikeContainer(10)
# push some spikes into sc
for i in xrange(100):
sc.push(randint(1000, size=randint(5)))
print sc.lastspikes()
print sc[0], sc[1], sc[2], sc[9]
s = pickle.dumps(sc)
sc = pickle.loads(s)
print sc.lastspikes()
print sc[0], sc[1], sc[2], sc[9]
def unpickle_SpikeContainer(m, allspikes):
newsc = SpikeContainer(m)
for spikes in allspikes[::-1]:
newsc.push(spikes)
return newsc
#class SpikeContainer(SpikeContainer):
# def __init__(self, m, useweave=False, compiler=None):
# super(SpikeContainer, self).__init__(m)
# self.m = m
# def __reduce__(self):
# return (unpickle_SpikeContainer, (self.m, tuple(self[i].copy() for i in xrange(self.m))))
sc = SpikeContainer(10)
# push some spikes into sc
for i in xrange(100):
sc.push(randint(1000, size=randint(5)))
print sc.lastspikes()
print sc[0], sc[1], sc[2], sc[9]
s = pickle.dumps(sc)
sc = pickle.loads(s)
print sc.lastspikes()
print sc[0], sc[1], sc[2], sc[9]
