2 # NEPI, a framework to manage network experiments
3 # Copyright (C) 2014 INRIA
5 # This program is free software: you can redistribute it and/or modify
6 # it under the terms of the GNU General Public License version 2 as
7 # published by the Free Software Foundation;
9 # This program is distributed in the hope that it will be useful,
10 # but WITHOUT ANY WARRANTY; without even the implied warranty of
11 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 # GNU General Public License for more details.
14 # You should have received a copy of the GNU General Public License
15 # along with this program. If not, see <http://www.gnu.org/licenses/>.
18 from nepi.execution.attribute import Attribute, Flags, Types
19 from nepi.execution.trace import Trace, TraceAttr
20 from nepi.execution.resource import ResourceManager, clsinit_copy, \
22 from nepi.resources.ns3.ns3propagationlossmodel import NS3BasePropagationLossModel
25 class NS3RandomPropagationLossModel(NS3BasePropagationLossModel):
26 _rtype = "ns3::RandomPropagationLossModel"
29 def _register_attributes(cls):
31 attr_variable = Attribute("Variable",
32 "The random variable used to pick a loss everytime CalcRxPower is invoked.",
34 default = "ns3::ConstantRandomVariable[Constant=1.0]",
37 flags = Flags.Reserved | Flags.Construct)
39 cls._register_attribute(attr_variable)
44 def _register_traces(cls):
47 def __init__(self, ec, guid):
48 super(NS3RandomPropagationLossModel, self).__init__(ec, guid)
49 self._home = "ns3-random-propagation-loss-model-%s" % self.guid