def set_global_parameter(name, value , type_restriction=None):
""" Sets all parameters of a given name to the specified value """
for m in connected_models.keys():
if type_restriction and type_restriction != connected_models[m].kind: continue
if name in connected_models[m].parameters.keys():
connected_models[m][name] = value
def apply_probe_modifier(name, modifier , type_restriction=None ):
for m in connected_models.keys():
if type_restriction and type_restriction != connected_models[m].kind: continue
if name in connected_models[m].probes:
exec ('connected_models["%s"].%s = connected_models["%s"].%s%s' % ( m, name, m , name, modifier)) in globals()
def set_estimated_probe(name, value, type_restriction=None):
""" Sets all probes of a given name to the specified value """
for m in connected_models.keys():
if type_restriction and type_restriction != connected_models[m].kind: continue
if name in connected_models[m].probes:
setattr(connected_models[m], name, value )
