PyANGDTA.DTAManager¶

class DTAManager¶

Synopsis¶

Methods¶

def __init__()
def getAttractivenessWeight()
def getCurrentIter()
def getDescription()
def getMaxTurnAttractiveness()
def getNetwork()
def getNextRandom()
def getTotalPathsInDUE()
def getTotalPathsInOneShot()
def getTurnCost()
def getTurnTravelTime()
def getUserDefinedCostWeight()
def getVehicleTypeFromUserClass()
def isDUEContinue()

Note

This documentation may contain snippets that were automatically translated from C++ to Python. We always welcome contributions to the snippet translation. If you see an issue with the translation, you can also let us know by creating a ticket on https:/bugreports.qt.io/projects/PYSIDE

__init__([sim=None])¶

Parameters:: sim – DTASimulator

getAttractivenessWeight()¶

Return type:: float

getCurrentIter()¶

Return type:: int

getDescription()¶

Return type:: DTADescription

getMaxTurnAttractiveness()¶

Return type:: float

getNetwork()¶

Return type:: DTANetwork

getNextRandom()¶

Return type:: float

getTotalPathsInDUE(totalMemory)¶

Parameters:: totalMemory – .std.pairdouble,double
Return type:: .std.pairuint,uint

getTotalPathsInOneShot(totalMemory)¶

Parameters:: totalMemory – .std.pairdouble,double
Return type:: .std.pairuint,uint

getTurnCost(context, turning, iteration)¶

Parameters:

context – GKFunctionCostContext
turning – DTATurning
iteration – int

Return type:

float

getTurnTravelTime(context, turning, iteration)¶

Parameters:

context – GKFunctionCostContext
turning – DTATurning
iteration – int

Return type:

float

getUserDefinedCostWeight()¶

Return type:: float

getVehicleTypeFromUserClass(userclass)¶

Parameters:: userclass – GKUserClass
Return type:: DTAVehicleType

isDUEContinue()¶

Return type:: bool