def __init__(self, simulation=None, name=None, does_require_simulation=True, **kwargs): if does_require_simulation: assert simulation is not None if simulation is not None and not simulation in NamedSimulationObject._obj_names: NamedSimulationObject._obj_names[simulation] = set() if not name: name = ObjectLabeller.get_next_unamed_object_name( obj_type=NamedSimulationObject, prefix='AnonObj') if does_require_simulation: assert not name in NamedSimulationObject._obj_names[ simulation], 'Duplicate name:%s' % name NamedSimulationObject._obj_names[simulation].add(name) self._name = name self._simulation = simulation super(NamedSimulationObject, self).__init__(**kwargs)
def save_dot(cls, graph, format, **kwargs): from morphforge.core import ObjectLabeller name = ObjectLabeller.get_next_unamed_object_name(type(graph)) tmp_dir = LocMgr.get_tmp_path() fname = '%s/dotout_%s.%s' % (tmp_dir, name, format) graph.write_pdf(fname, **kwargs) return fname
def __init__(self, **kwargs): super(Neuron_NeuroUnitEqnsetMechanism, self).__init__(**kwargs) self.nmodl_txt, self.buildparameters = WriteToNMODL( self.eqnset, neuron_suffix="NRNEQNSET" + ObjectLabeller.get_next_unamed_object_name( Neuron_NeuroUnitEqnsetMechanism, prefix="")) assert self.buildparameters.mechanismtype == MechanismType.Distributed self.units = {} for (param_str, value) in self._parameters.iteritems(): sym = self.eqnset.get_terminal_obj(param_str) param_default_unit = self.buildparameters.symbol_units[sym] self.units[param_str] = param_default_unit.as_quantities_unit() self.NRNSUFFIX = self.buildparameters.suffix
def __init__(self, **kwargs): super(NEURONPostSynapticTemplate_NeuroUnitEquationSetPostSynaptic, self).__init__(**kwargs) self.is_mod_built = False self.nmodl_txt, self.buildparameters = WriteToNMODL( self.eqnset, neuron_suffix="NRNEQNSETSYN" + ObjectLabeller.get_next_unamed_object_name(type(self), prefix="")) assert self.buildparameters.mechanismtype == MechanismType.Point self.units = {} for (param_str, value) in self._default_parameters.iteritems(): sym = self.eqnset.get_terminal_obj(param_str) param_default_unit = self.buildparameters.symbol_units[sym] self.units[param_str] = param_default_unit.as_quantities_unit() self.NRNSUFFIX = self.buildparameters.suffix
def __init__(self, simulation=None, name=None, does_require_simulation=True, **kwargs): if does_require_simulation: assert simulation is not None if simulation is not None and not simulation in NamedSimulationObject._obj_names: NamedSimulationObject._obj_names[simulation] = set() if not name: name = ObjectLabeller.get_next_unamed_object_name( obj_type=NamedSimulationObject, prefix='AnonObj') if does_require_simulation: assert not name in NamedSimulationObject._obj_names[simulation], 'Duplicate name:%s' % name NamedSimulationObject._obj_names[simulation].add(name) self._name = name self._simulation = simulation super(NamedSimulationObject, self).__init__(**kwargs)
def __init__(self, **kwargs): super(NEURONPostSynapticTemplate_NeuroUnitEquationSetPostSynaptic, self).__init__( **kwargs) self.is_mod_built = False self.nmodl_txt, self.buildparameters = WriteToNMODL(self.eqnset, neuron_suffix="NRNEQNSETSYN"+ObjectLabeller.get_next_unamed_object_name(type(self), prefix="")) assert self.buildparameters.mechanismtype == MechanismType.Point self.units = {} for (param_str, value) in self._default_parameters.iteritems(): sym = self.eqnset.get_terminal_obj(param_str) param_default_unit = self.buildparameters.symbol_units[sym] self.units[param_str] = param_default_unit.as_quantities_unit() self.NRNSUFFIX = self.buildparameters.suffix
def __init__(self, **kwargs): super(Neuron_NeuroUnitEqnsetMechanism, self).__init__(**kwargs) self.nmodl_txt, self.buildparameters = WriteToNMODL(self.eqnset, neuron_suffix="NRNEQNSET"+ObjectLabeller.get_next_unamed_object_name(Neuron_NeuroUnitEqnsetMechanism, prefix="")) assert self.buildparameters.mechanismtype == MechanismType.Distributed self.units = {} for (param_str, value) in self._parameters.iteritems(): sym = self.eqnset.get_terminal_obj(param_str) param_default_unit = self.buildparameters.symbol_units[sym] self.units[param_str] = param_default_unit.as_quantities_unit() self.NRNSUFFIX = self.buildparameters.suffix
def __init__(self, **kwargs): super(NEURONChl_Base, self).__init__(**kwargs) self.mm_neuronNumber = ObjectLabeller.get_next_count_for_type( NEURONChl_Base) self.cachedNeuronSuffix = None