GraphAnalyzer

Inheritance diagram

Inheritance diagram of ORSModel.ors.GraphAnalyzer, ORSModel.ors.Unmanaged, ORSModel.ors.ORSBaseClass

Classes

GraphAnalyzer

class ORSModel.ors.GraphAnalyzer(self)

Bases: Unmanaged

computeStatisticsFor(self, denseGraph: ORSModel.ors.Graph, aTimeStep: int, edgeSlotIndex: int, pProgress: ORSModel.ors.Progress, sourceIndex: int) bool
Parameters:
Returns:

output (bool) –

getClassNameStatic() str

getClassNameStatic

Returns:

output (str) –

getDijkstraDistanceMap(self) ORSModel.ors.ArrayDouble
Returns:

output (ORSModel.ors.ArrayDouble) –

getDijkstraPredecessorMap(self) ORSModel.ors.ArrayUnsignedLong
Returns:

output (ORSModel.ors.ArrayUnsignedLong) –

getDistancesBasedOnPredecessorMapForEdgeSlotIndex(self, anEdgeSlotIndex: int, destinationVerticesz: ORSModel.ors.ArrayUnsignedLong) ORSModel.ors.ArrayDouble
Parameters:
Returns:

output (ORSModel.ors.ArrayDouble) –

getEdgesOfPath(self, anEdgeSlotIndex: int, lastIndexInPath: int) ORSModel.ors.ArrayDouble
Parameters:
  • anEdgeSlotIndex (int) –

  • lastIndexInPath (int) –

Returns:

output (ORSModel.ors.ArrayDouble) –

getFirstAndLastVertexIndicesOfPathFromPredecessorMap(self, firstAndLastVertexIndicesInPath: ORSModel.ors.ArrayUnsignedLong) ORSModel.ors.ArrayUnsignedLong
Parameters:

firstAndLastVertexIndicesInPath (ORSModel.ors.ArrayUnsignedLong) –

Returns:

output (ORSModel.ors.ArrayUnsignedLong) –

getTimeStep(self) int
Returns:

output (int) –

initializeFor(self, denseGraph: ORSModel.ors.Graph)
Parameters:

denseGraph (ORSModel.ors.Graph) –

none() GraphAnalyzer
Returns:

output (GraphAnalyzer) –

Unmanaged

class ORSModel.ors.Unmanaged

Bases: ORSBaseClass

atomicLoad(sFilename: str) Unmanaged

Creates an object from a file where an object was saved.

Parameters:

sFilename (str) – path of the file to load

Returns:

output (Unmanaged) – an unmanaged object, or none() if the load fails

atomicSave(self, aFilename: str) int

Saves the object to a file.

Parameters:

aFilename (str) – path of the file to save

Returns:

output (int) – 0 if successful, otherwise an error code

createFromPythonRepresentation(aPythonRepresentation: str) ORSModel.ors.Unmanaged

Create aUnmanaged Object from a python representation a static method.

Parameters:

aPythonRepresentation (str) –

Returns:

output (ORSModel.ors.Unmanaged) –

fromPythonRepresentation(self, aPythonRepresentation: str) bool

Create aUnmanaged object from a Python string representation.

Parameters:

aPythonRepresentation (str) – a Python evaluable string representation (a string)

Returns:

output (bool) – true if parsing worked, false otherwise (a bool)

getClassName(self) str

Retrieves the class name of the core object wrapped by this Interface object.

Returns:

output (str) –

getClassNameStatic() str

getClassNameStatic

Returns:

output (str) –

getDataChecksum(self) str
Returns:

output (str) –

getIsInstanceOf(self, pProgId: str) bool

Queries the object to know if it is an instance of a certain class.

Parameters:

pProgId (str) –

Returns:

output (bool) –

getPythonRepresentation(self) str

Gets a Python evaluable string representation.

Returns:

output (str) –

isNone(self) bool

Checks if the receiver is none.

Returns:

output (bool) –

isNotNone(self) bool

Checks if the receiver is not none.

Returns:

output (bool) –

none() Unmanaged
Returns:

output (Unmanaged) –

ORSBaseClass

class ORSModel.ors.ORSBaseClass(self)
getPythonTraceBack() List[str]

Set the python traceback for a call from python.

Returns:

output (List[str]) –

isManaged(self) bool
Returns:

output (bool) –

isNone(self) bool
Returns:

output (bool) –

setPythonTraceBack(tb: List[str])

Set the python traceback for a call from python.

Parameters:

tb (List[str]) –