def __getattr__(self, name):
if name == 'schedule':
if self.initialized:
return Global.config['dt'] * self.cyInstance.get_schedule()
else:
return self.init['schedule']
elif name == 'rates':
if self.initialized:
if len(self.geometry) > 1:
# unflatten the data
flat_values = self.cyInstance.get_rates()
values = np.zeros(
tuple([len(self.schedule)] + list(self.geometry)))
for x in range(len(self.schedule)):
values[x] = np.reshape(flat_values[x], self.geometry)
return values
else:
return self.cyInstance.get_rates()
else:
return self.init['rates']
elif name == 'period':
if self.initialized:
return self.cyInstance.get_period() * Global.config['dt']
else:
return self.init['period']
else:
return Population.__getattribute__(self, name)
def __getattr__(self, name):
if name == 'schedule':
if self.initialized:
return Global.config['dt'] * self.cyInstance.get_schedule()
else:
return self.init['schedule']
elif name == 'rates':
if self.initialized:
if len(self.geometry) > 1:
# unflatten the data
flat_values = self.cyInstance.get_rates()
values = np.zeros( tuple( [len(self.schedule)] + list(self.geometry) ) )
for x in range(len(self.schedule)):
values[x] = np.reshape( flat_values[x], self.geometry)
return values
else:
return self.cyInstance.get_rates()
else:
return self.init['rates']
elif name == 'period':
if self.initialized:
return self.cyInstance.get_period() * Global.config['dt']
else:
return self.init['period']
else:
return Population.__getattribute__(self, name)
def __getattr__(self, name):
if name == 'spike_times':
if self.initialized:
return [ [Global.config['dt']*time for time in neur] for neur in self.cyInstance.get_spike_times()]
else:
return self.init['spike_times']
else:
return Population.__getattribute__(self, name)
def __getattr__(self, name):
if name == 'spike_times':
if self.initialized:
return [[Global.config['dt'] * time for time in neur]
for neur in self.cyInstance.get_spike_times()]
else:
return self.init['spike_times']
else:
return Population.__getattribute__(self, name)
def __getattr__(self, name):
if name == 'spike_times':
if self.initialized:
return self.cyInstance.get_spike_times()
else:
return object.__getattribute__(self, name)
else:
return Population.__getattribute__(self, name)
