def __init__(self, *args, **kvargs):
if 'toolkit' in kvargs:
self.toolkit = kvargs['toolkit']
del kvargs['toolkit']
else:
self.toolkit = default_toolkit
self.nodenames = {}
## Add terminal nodes
self.add_terminals(self.terminals)
## Set temporary terminal mapping information for use by instantiation
## method in higher hierarchy
self.terminalhook = dict(zip(self.terminals, args))
## Create instance parameters
self.iparv = ParameterDict(*self.instparams)
self.ipar = ParameterDict(*self.instparams)
## Subscribe to changes on ipar
self.ipar.attach(self, updatemethod='_ipar_changed')
## set instance parameters from arguments
self.ipar.set(**kvargs)
## Subscribe to updates of instance parameters
if hasattr(self, 'update'):
self.iparv.attach(self)
self.update(self.ipar)
@property
def V(self):
return Quantity('V', self)
@property
def I(self):
return Quantity('I', self)
def __repr__(self):
return 'Branch(' + repr(self.plus) + ',' + repr(self.minus) + ')'
### Default reference node
gnd = Node("gnd", isglobal=True)
defaultepar = ParameterDict(
Parameter("T", "Temperature", unit="K", default=300))
class Circuit(object):
"""Basic circuit class
The circuit class models electric circuits but could be used for
any conservative system. A circuit object contains a list of nodes and
branches which are associated with node voltages and branch currents in the
modelled system. Note that the values of these quantities are
stored in separate analysis classes, never inside a circuit object.
The nodes are connected to the outside through terminals. When the circuit
is instanciated, the outside nodes are passed to the object via the
terminals.
def __init__(self, sim, **parvalues):
self.sim = sim
self.par = ParameterDict(*self.parameters, **parvalues)
