X-Git-Url: http://git.onelab.eu/?a=blobdiff_plain;f=doc%2Fsphinx%2F_build%2Fhtml%2F_modules%2Fnepi%2Fresources%2Fns3%2Fclasses%2Fnakagami_propagation_loss_model.html;fp=doc%2Fsphinx%2F_build%2Fhtml%2F_modules%2Fnepi%2Fresources%2Fns3%2Fclasses%2Fnakagami_propagation_loss_model.html;h=17d6e92ec4612a0b7d513221509d26e4f7773af1;hb=590481ab47520f9bfdfda34630408a09a770f5a1;hp=0000000000000000000000000000000000000000;hpb=206ba8e9c3a5fd5842e9b1a0d678293da6670d3b;p=nepi.git diff --git a/doc/sphinx/_build/html/_modules/nepi/resources/ns3/classes/nakagami_propagation_loss_model.html b/doc/sphinx/_build/html/_modules/nepi/resources/ns3/classes/nakagami_propagation_loss_model.html new file mode 100644 index 00000000..17d6e92e --- /dev/null +++ b/doc/sphinx/_build/html/_modules/nepi/resources/ns3/classes/nakagami_propagation_loss_model.html @@ -0,0 +1,201 @@ + + + + + + + + nepi.resources.ns3.classes.nakagami_propagation_loss_model — NEPI 3.0 documentation + + + + + + + + + + + + + +
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Source code for nepi.resources.ns3.classes.nakagami_propagation_loss_model

+#
+#    NEPI, a framework to manage network experiments
+#    Copyright (C) 2014 INRIA
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU General Public License version 2 as
+#    published by the Free Software Foundation;
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU General Public License for more details.
+#
+#    You should have received a copy of the GNU General Public License
+#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+#
+
+from nepi.execution.attribute import Attribute, Flags, Types
+from nepi.execution.trace import Trace, TraceAttr
+from nepi.execution.resource import ResourceManager, clsinit_copy, \
+        ResourceState
+from nepi.resources.ns3.ns3propagationlossmodel import NS3BasePropagationLossModel 
+
+@clsinit_copy
+
[docs]class NS3NakagamiPropagationLossModel(NS3BasePropagationLossModel): + _rtype = "ns3::NakagamiPropagationLossModel" + + @classmethod + def _register_attributes(cls): + + attr_distance1 = Attribute("Distance1", + "Beginning of the second distance field. Default is 80m.", + type = Types.Double, + default = "80", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_distance1) + + attr_distance2 = Attribute("Distance2", + "Beginning of the third distance field. Default is 200m.", + type = Types.Double, + default = "200", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_distance2) + + attr_m0 = Attribute("m0", + "m0 for distances smaller than Distance1. Default is 1.5.", + type = Types.Double, + default = "1.5", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_m0) + + attr_m1 = Attribute("m1", + "m1 for distances smaller than Distance2. Default is 0.75.", + type = Types.Double, + default = "0.75", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_m1) + + attr_m2 = Attribute("m2", + "m2 for distances greater than Distance2. Default is 0.75.", + type = Types.Double, + default = "0.75", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_m2) + + attr_erlangrv = Attribute("ErlangRv", + "Access to the underlying ErlangRandomVariable", + type = Types.String, + default = "ns3::ErlangRandomVariable", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_erlangrv) + + attr_gammarv = Attribute("GammaRv", + "Access to the underlying GammaRandomVariable", + type = Types.String, + default = "ns3::GammaRandomVariable", + allowed = None, + range = None, + flags = Flags.Reserved | Flags.Construct) + + cls._register_attribute(attr_gammarv) + + + + @classmethod + def _register_traces(cls): + pass + + def __init__(self, ec, guid): + super(NS3NakagamiPropagationLossModel, self).__init__(ec, guid) + self._home = "ns3-nakagami-propagation-loss-model-%s" % self.guid
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+ + + + \ No newline at end of file