tulip module API

Utility functions

Graph management

tlp.newGraph()

Creates and returns a new empty graph.

Return type:tlp.Graph

tlp.loadGraph(filename)

Loads a graph in the tlp format from a file (extension can be .tlp or .tlp.gz). Returns a new graph or None if the import fails.

Parameters:filename (string) – the path to the tlp file Return type:tlp.Graph

tlp.saveGraph(graph, filename)

Saves a graph to a file in the tlp format. Extension of the destination file can be either .tlp (raw export) or .tlp.gz (compressed export). Returns True if the graph has been successfully saved.

Parameters:

• graph (tlp.Graph) – the graph to export
• filename (string) – the path to the destination file

Return type:

boolean

tlp.importGraph(importPluginName[, dataSet, newGraph = None])

Imports a graph using a Tulip import plugin (must be loaded). Returns a new graph or None if the import fails.

Parameters:

• importPluginName (string) – the name of the Tulip import plugin
• dataSet (tlp.DataSet) – a dataset filled with parameters to transmit to the import plugin
• newGraph (tlp.Graph) – if provided, add imported graph elements in that graph

Return type:

tlp.Graph

Throws :

an exception if the requested import plugin is not registered in the plugins database.

tlp.exportGraph(exportPluginName, graph, outputFilePath[, dataSet])

Exports a graph to a file using a Tulip export plugin (must be loaded).

Parameters:

• graph (tlp.Graph) – the graph to export
• outputFilePath (string) – the path of the file the export plugin will write to
• exportPluginName (string) – the name of the Tulip export plugin to execute
• dataSet (tlp.DataSet) – a dataset filled with parameters to transmit to the export plugin

Return type:

boolean

Throws :

an exception if the requested export plugin is not registered in the plugins database.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call import modules (see Loading Tulip plugins)).

tlp.newSubGraph(root[, name = "unnamed"])

Deprecated since version 3.7: use tlp.Graph.addSubGraph() instead

Creates and returns an empty subgraph of a graph.

Parameters:

• root (tlp.Graph) – the graph on which the subgraph will be created
• name (string) – the subgraph name

Return type:

tlp.Graph

tlp.newCloneSubGraph(root[, name = "unnamed"])

Deprecated since version 3.7: use tlp.Graph.addCloneSubGraph() instead

Creates and returns a subgraph of a graph root that is equal to that graph (a clone subgraph).

Parameters:

• root (tlp.Graph) – the graph on which the subgraph will be created
• name (string) – the subgraph name

Return type:

tlp.Graph

tlp.copyToGraph(outGraph, inGraph[, inSelection = None, outSelection = None])

Appends the selected part of a graph (properties, nodes and edges) into another one. If no selection is done, the whole input graph graph is appended. The output selection is used to select the appended nodes & edges

Parameters:

• outGraph (tlp.Graph) – the graph on which to append elements
• inGraph (tlp.Graph) – the graph to append
• inSelection (tlp.BooleanProperty) – boolean property attached to inGraph, only selected elements will be appended if provided
• outSelection (tlp.BooleanProperty) – boolean property attached to outGraph, appended nodes and edges will be selected if provided

Warning

The input selection is extended to all selected edge ends.

tlp.removeFromGraph(inGraph[, inSelection = None])

Removes the selected part of a graph (properties values, nodes and edges). If no selection is done, the whole graph is reseted to default value.

Parameters:

• inGraph (tlp.Graph) – the graph on which to remove elements
• inSelection (tlp.BooleanProperty) – boolean property attached to inGraph, only selected elements will be removed if provided

Warning

The selection is extended to all selected edge ends.

Graph measures and functions

tlp.averagePathLength(graph)

Returns the average path length of a graph, that is the sum of the shortest distances for all pair of distinct nodes in that graph divided by the number of those pairs. For a pair of non connected nodes, the shorted distance is set to 0.

Parameters:graph (tlp.Graph) – the graph on which to compute the average path length Return type:float

tlp.averageClusteringCoefficient(graph)

Returns the clustering coefficient of a graph as the average of the local clustering coefficients (see tlp.clusteringCoefficient()) of all the nodes.

Parameters:graph (tlp.Graph) – the graph on wich to compute the average clustering coefficient Return type:float

tlp.clusteringCoefficient(graph, result[, maxDepth = 1])

Assigns to each node its local clustering coefficient that is the proportion of edges between the nodes within its neighbourhood divided by the number of edges that could possibly exist between them. This quantifies how close its neighbors are to being a clique.

Parameters:

• graph (tlp.Graph) – the graph on which to compute the clustering coefficient for each node
• result (tlp.DoubleProperty) – a graph property in which the results will be stored
• maxDepth (integer) – the maximum distance between each node and its neighbours.

tlp.dagLevel(graph, result)

Assigns to each node of a Directed Acyclic Graph a level such that if the edge e(u,v) exists level(u) < level(v). The algorithm ensures that the number of level used is minimal.

Parameters:

• graph (tlp.Graph) – the graph on which to compute the dag level
• result (tlp.IntegerProperty) – a graph property in which the results will be stored

Warning

The graph must be acyclic (no self loops).

tlp.minDegree(graph)

Returns the minimum degree of the graph’s nodes.

Parameters:graph (tlp.Graph) – the graph on which to compute the minimum degree Return type:integer

tlp.maxDegree(graph)

Returns the maximum degree of the graph’s nodes.

Parameters:graph (tlp.Graph) – the graph on which to compute the maximum degree Return type:integer

tlp.maxDistance(graph, node, result, direction)

Computes the distances from a node to all the other nodes of a graph and return the maximum one.

Parameters:

• graph (tlp.Graph) – the graph on which to compute the maximum distance
• node (tlp.node) – an existing graph node
• result (tlp.IntegerProperty) – a graph property in which the results will be stored
• direction (tlp.DIRECTED, tlp.INV_DIRECTED, tlp.UNDIRECTED) – specify if the graph must be directed or not

Return type:

integer

Throws :

an exception if the node does not belong to the graph

tlp.reachableNodes(graph, startNode, maxDistance, direction)

Returns the nodes that can be reached from a node, according to a direction, at distance less or equal to a maximum one.

Parameters:

• graph (tlp.Graph) – the graph to work on
• startNode (tlp.node) – an existing graph node
• maxDistance (integer) – the maximum distance to reach nodes
• direction (tlp.DIRECTED, tlp.INV_DIRECTED, tlp.UNDIRECTED) – specify if the graph must be directed or not

Return type:

set of tlp.node

Throws :

an exception if the node does not belong to the graph

tlp.bfs(graph[, root])

New in version 4.2.

Performs a breadth-first search on a graph and returns a list containing the nodes of the graph in the order they have been visited.

Parameters:

• graph (tlp.Graph) – The graph to traverse with a BFS.
• root (tlp.node) – The node from whom to start the BFS. If not provided, the root node will be assigned to a source node in the graph (node with input degree equals to 0). If there is no source node in the graph, a random node will be picked.

Return type:

list of tlp.node

Throws :

an exception if the provided root node does not belong to the graph.

tlp.dfs(graph[, root])

New in version 4.2.

Performs a depth-first search on a graph and returns a list containing the nodes of the graph in the order they have been visited.

Parameters:

• graph (tlp.Graph) – The graph to traverse with a DFS.
• root (tlp.node) – The node from whom to start the DFS. If not provided, the root node will be assigned to a source node in the graph (node with input degree equals to 0). If there is no source node in the graph, a random node will be picked.

Return type:

list of tlp.node

Throws :

an exception if the provided root node does not belong to the graph.

Geometry

tlp.computeBoundingBox(graph[, selection = None])

New in version 3.8.

Computes the bounding box of a graph according to nodes positions and edges bends defined in the default layout property “viewLayout”, nodes z-rotations defined in the default double property “viewRotation” and sizes of elements defined in the default size property “viewSize”.

Parameters:

• graph (tlp.Graph) – the graph on which to compute its bounding box
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the bounding box to selected elements (if provided)

Return type:

tlp.BoundingBox

Throws :

an exception if the provided boolean property is not attached to the graph

tlp.computeBoundingBox(graph, layout, size, rotation[, selection = None])

Computes the bounding box of a graph according to nodes positions, edges bends, nodes z-rotations and sizes of elements.

Parameters:

• graph (tlp.Graph) – the graph on which to compute its bounding box
• layout (tlp.LayoutProperty) – a layout property containing positions of the graph elements
• size (tlp.SizeProperty) – a size property containing the sizes of the graph elements.
• rotation (tlp.DoubleProperty) – a double property containing the z-rotations of nodes
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the bounding box to selected elements (if provided)

Return type:

tlp.BoundingBox

Throws :

an exception if the provided properties are not attached to the graph

tlp.computeBoundingRadius(graph[, selection = None])

New in version 3.8.

Computes a bounding sphere (or a bounding circle if the graph has a 2D layout) of a graph according to nodes positions and edges bends defined in the default layout property “viewLayout”, nodes z-rotations defined in the default double property “viewRotation” and sizes of elements defined in the default size property “viewSize”.

Returns a tuple of tlp.Coord whose first member is the center of the bounding sphere (circle for 2D layout) and second member is the farthest point from the center (computed from graph elements positions). To get the bounding radius, you have to compute the distance between the two members of the tuple (use the tlp.Vec3f.dist() method).

Parameters:

• graph (tlp.Graph) – the graph on which to compute its bounding sphere
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the bounding sphere to selected elements (if provided)

Return type:

(tlp.Coord, tlp.Coord)

Throws :

an exception if the provided boolean property is not attached to the graph

tlp.computeBoundingRadius(graph, layout, size, rotation[, selection = None])

Computes a bounding sphere (or a bounding circle if the graph has a 2D layout) of a graph according to node position edge bends node z-rotation, and size of elements.

Returns a tuple of tlp.Coord whose first member is the center of the bounding sphere (circle for 2D layout) and second member is the farthest point from the center (computed from graph elements positions). To get the bounding radius, you have to compute the distance between the two members of the tuple (use the tlp.Vec3f.dist() method).

Parameters:

• graph (tlp.Graph) – the graph on which to compute its bounding sphere
• layout (tlp.LayoutProperty) – a layout property containing positions of the graph elements
• size (tlp.SizeProperty) – a size property containing the sizes of the graph elements.
• rotation (tlp.DoubleProperty) – a double property containing the z-rotations of nodes
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the bounding sphere to selected elements (if provided)

Return type:

(tlp.Coord, tlp.Coord)

Throws :

an exception if the provided properties are not attached to the graph

tlp.computeConvexHull(points)

New in version 3.8.

Computes a convex hull of a set of points. Only works with 2D layouts. Returns a list of tlp.Coord containing the vertices of the points convex hull correctly ordered.

Parameters:points (:list of class:tlp.Coord) – the points on which to compute a conbex hull Return type:list of tlp.Coord

tlp.computeConvexHull(graph[, selection = None])

New in version 3.8.

Computes a convex hull of a graph according to nodes positions and edges bends defined in the default layout property “viewLayout”, nodes z-rotations defined in the default double property “viewRotation” and sizes of elements defined in the default size property “viewSize”. Only works with 2D layouts. Returns a list of tlp.Coord containing the vertices of the graph convex hull correctly ordered.

Parameters:

• graph (tlp.Graph) – the graph on which to compute its convex hull
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the convex hull to selected elements (if provided)

Return type:

list of tlp.Coord

Throws :

an exception if the provided boolean property is not attached to the graph

tlp.computeConvexHull(graph, layout, size, rotation[, selection = None])

Computes a convex hull of a graph according to nodes positions, edges bends, nodes z-rotations, and sizes of elements. Only works with 2D layouts. Returns a list of tlp.Coord containing the vertices of the graph convex hull correctly ordered.

Parameters:

• graph (tlp.Graph) – the graph on which to compute its convex hull
• layout (tlp.LayoutProperty) – a layout property containing positions of the graph elements
• size (tlp.SizeProperty) – a size property containing the sizes of the graph elements.
• rotation (tlp.DoubleProperty) – a double property containing the z-rotations of nodes
• selection (tlp.BooleanProperty) – a boolean property to restrain the computation of the convex hull to selected elements (if provided)

Return type:

list of tlp.Coord

Throws :

an exception if the provided properties are not attached to the graph

tlp.convexHull2D(points)

New in version 4.2.

Computes the 2D convex hull of a list of points (the z-coordinate is not taken into acccount) using the Qhull library. Returns a list of indexes in the list of points defining the hull polygon in counterclockwise order.

Parameters:points (list of tlp.Coord) – the points on which to compute the 2D convex hull Return type:list of integers

tlp.convexHull(points)

New in version 4.2.

Computes the 2D/3D convex hull of a list of points using the Qhull library. Returns a tuple whose first member is the list of facets defining the convex hull (segments for 2D, triangles for 3D) and second member is the list of neighbors facets for each facet. A facet is defined by a list of indexes in the list of points. The ith element of the neighbors list is a list of indexes in the facets list corresponding to the neighbors facets of the ith facet.

Parameters:points (list of tlp.Coord) – the points on which to compute the 2D/3D convex hull Return type:(list of list of integers, list of list of integers)

tlp.computeLinesIntersection(line1, line2)

New in version 3.8.

Computes the intersection point (if any) of two 3d lines. Returns a tuple whose first member is a boolean indicating if the lines intersect (if False it means that lines are parallel or skew) and second member is the intersection point (if any).

Parameters:

• line1 ((tlp.Coord , tlp.Coord)) – the coordinates of the two points defining the first line
• line2 ((tlp.Coord , tlp.Coord)) – the coordinates of the two points defining the second line

Return type:

(boolean, tlp.Coord)

tlp.computePolygonCentroid(points)

New in version 3.8.

Computes the centroid of a polygon.

Parameters:points (list of tlp.Coord) – the vertices of the polygon correctly ordered Return type:tlp.Coord

tlp.delaunayTriangulation(points)

New in version 3.8.

Computes the delaunay triangulation of a set of points and returns the set of delaunay edges and simplices (triangles in 2d, tetrahedra in 3d). Returns a tuple whose first member is the list of edges and second member is the list of simplices, or None if the triangulation failed. Edges and simplices are defined using indexes into the original list of points.

Parameters:points (list of tlp.Coord) – a list of points on which to compute a delaunay triangulation Return type:(list of (integer, integer), list of integer) or None

class tlp.VoronoiDiagram

New in version 3.8.

That class defines a voronoi diagram. Use the tlp.voronoiDiagram() function to get an instance of it.

cell(cellIdx)

Returns the ith voronoi cell. A cell is defined by a list of indexes in the voronoi vertices.

Parameters:cellIdx (integer) – the index of the cell to return Return type:set of integer

degreeOfVertex(vertexIdx)

Returns the degree (number of incident edges) of the ith voronoi vertex

Parameters:vertexIdx (integer) – the index of the vertex on which to return the degree Return type:integer

edge(edgeIdx)

Returns the ith voronoi edge. An edge is defined by two indexes in the voronoi vertices.

Parameters:edgeIdx (integer) – the index of the edge to return Return type:(integer, integer)

nbEdges()

Returns the number of voronoi edges.

Return type:integer

nbSites()

Returns the number of voronoi sites.

Return type:integer

nbVertices()

Returns the number of voronoi vertices.

Return type:integer

site(siteIdx)

Returns the ith voronoi site.

Parameters:siteIdx (integer) – the index of the site to return Return type:tlp.Coord

vertex(vertexIdx)

Returns the ith voronoi vertex.

Parameters:vertexIdx (integer) – the index of the vertex to return Return type:tlp.Coord

voronoiCellForSite(siteIdx)

Returns the cell associated to the ith site.

Parameters:siteIdx (integer) – the index of the site on which to return the cell Return type:set of integer

voronoiEdgesForSite(siteIdx)

Returns the voronoi edges surrounding the ith site.

Parameters:siteIdx (integer) – the index of the site on which to return edges Return type:list of (integer, integer)

tlp.voronoiDiagram(sites)

New in version 3.8.

Computes the voronoi diagram of a set of sites (for 2d and 3d layouts). It automatically computes the set of all voronoi vertices, edges and cells. In order to not have to deal with infinite voronoi rays, the input layout is enclosed in its convex hull in 2d or in its bounding box in 3d. It enables to have a connected voronoi cell for each input site.

Parameters:sites (list of tlp.Coord) – the sites from which to compute the voronoi diagram Return type:tlp.VoronoiDiagram

Plugins Management

tlp.getTulipRelease()

Returns the current version number of Tulip in the form X.Y.Z, X being the major version, Y the minor version, and Z the patch version.

Return type:string

tlp.initTulipLib()

Looks for the Tulip plugins directory and fills the Tulip path variables : tlp.TulipLibDir, tlp.TulipPluginsPath, tlp.TulipBitmapDir. The plug-ins directory can be defined in different ways, given by order of prevalence:

• the TLP_DIR environment variable, if it has a value
• the appDirPath parameter, if it is not NULL
• at that point, the Tulip paths will be retrieved from the path of the loaded Tulip shared library (you must dispose of a standard Tulip installation for that feature to work, meaning the relative path for the Tulip plugins folder to the Tulip libraries one must be ../lib/tulip/).
• a fallback value of ‘C:/Tulip/lib/’ on windows, or ‘/usr/local/lib/’ on Unix.

tlp.loadPlugins()

Loads C++ plugins installed in the directories listed in the tlp.TulipPluginsPath variable (in the form “<path1>;<path2>” on windows and “<path1>:<path2>” on unix). The tlp.TulipPluginsPath can be initialized with standard Tulip directories by calling the tlp.initTulipLib() function.

tlp.loadPluginsFromDir(pluginsDir)

New in version 4.2.

Loads C++ and Python plugins installed in a specific directory.

tlp.loadPlugin(filename)

Loads a C++ plugin or a Python plugin from a specific file (shared library or Python source file). Returns True if the plugin was correctly loaded.

Parameters:filename (string) – the path to the shared library containing the Tulip plugin (file extension : .so on linux, .dylib on mac, .dll on windows) Return type:boolean

tlp.loadPluginsCheckDependencies()

Checks the dependencies of all C++ plugins loaded so far. If a plugin does not have all its dependencies fulfilled, it is unloaded and removed from the current plugins database.

tlp.getDefaultPluginParameters(pluginName[, graph = None])

Returns a dataset filled with default parameters (if any) for a given plugin (algorithm, import, property algorithm, ...).

Parameters:

• pluginName (string) – the name of the plugin on which to retrieve its default parameters
• graph (tlp.Graph) – if provided, property parameters will be retrieved from the graph if they exist

Return type:

tlp.DataSet

tlp.getImportPluginsList()

Return a list containing the names of the import plugins (written in C++ or Python) loaded so far. Import plugins are objects implementing the tlp::ImportModule interface in C++ or the tlp.ImportModule interface in Python.

Return type:list of string

tlp.getExportPluginsList()

Return a list containing the names of the export plugins (written in C++ or Python) loaded so far. Export plugins are objects implementing the tlp::ExportModule interface in C++ or the tlp.ExportModule interface in Python.

Return type:list of string

tlp.getAlgorithmPluginsList()

Return a list containing the names of the algorithm plugins (written in C++ or Python) loaded so far. Algorithm plugins are objects implementing the tlp::Algorithm interface in C++ or the tlp.Algorithm interface in Python.

Return type:list of string

tlp.getBooleanAlgorithmPluginsList()

Return a list containing the names of the boolean algorithm plugins (written in C++ or Python) loaded so far. Boolean algorithm plugins are objects implementing the tlp::BooleanAlgorithm interface in C++ or the tlp.BooleanAlgorithm interface in Python.

Return type:list of string

tlp.getColorAlgorithmPluginsList()

Return a list containing the names of the color algorithm plugins (written in C++ or Python) loaded so far. Color algorithm plugins are objects implementing the tlp::ColorAlgorithm interface in C++ or the tlp.ColorAlgorithm interface in Python.

Return type:list of string

tlp.getDoubleAlgorithmPluginsList()

Return a list containing the names of the double algorithm plugins (written in C++ or Python) loaded so far. Double algorithm plugins are objects implementing the tlp::DoubleAlgorithm interface in C++ or the tlp.DoubleAlgorithm interface in Python.

Return type:list of string

tlp.getIntegerAlgorithmPluginsList()

Return a list containing the names of the integer algorithm plugins (written in C++ or Python) loaded so far. Integer algorithm plugins are objects implementing the tlp::IntegerAlgorithm interface in C++ or the tlp.IntegerAlgorithm interface in Python.

Return type:list of string

tlp.getLayoutAlgorithmPluginsList()

Return a list containing the names of the layout algorithm plugins (written in C++ or Python) loaded so far. Layout algorithm plugins are objects implementing the tlp::LayoutAlgorithm interface in C++ or the tlp.LayoutAlgorithm interface in Python.

Return type:list of string

tlp.getSizeAlgorithmPluginsList()

Return a list containing the names of the size algorithm plugins (written in C++ or Python) loaded so far. Size algorithm plugins are objects implementing the tlp::SizeAlgorithm interface in C++ or the tlp.SizeAlgorithm interface in Python.

Return type:list of string

tlp.getStringAlgorithmPluginsList()

Return a list containing the names of the string algorithm plugins (written in C++ or Python) loaded so far. String algorithm plugins are objects implementing the tlp::StringAlgorithm interface in C++ or the tlp.StringAlgorithm interface in Python.

Return type:list of string

Graph elements classes

tlp.node

class tlp.node

An instance of this class represent a node in a Tulip graph. It encapsulates an integer identifier. Use specific methods in the tlp.Graph class to get references on such objects ( for instance tlp.Graph.addNode(), tlp.Graph.getNodes(), tlp.Graph.getOutNodes(), ...). Node objects can be used as keys in a Python dictionnary.

The node identifier can be accessed through the id class member.

isValid()

Returns True if the node is a valid one, meaning it is attached to a graph.

Return type:boolean

tlp.edge

class tlp.edge

An instance of this class represent an edge in a Tulip graph. It encapsulates an integer identifier. Use specific methods in the tlp.Graph class to get references on such objects ( for instance tlp.Graph.addEdge(), tlp.Graph.getEdges(), tlp.Graph.getInEdges(), ...). Edge objects can be used as keys in a Python dictionnary.

The edge identifier can be accessed through the id class member.

isValid()

Returns True if the edge is a valid one, meaning it is attached to a graph.

Return type:boolean

The tlp.Graph class

class tlp.Graph

This is the main Tulip class. It enables to :

• create a directed graph
• create and manipulate a sub-graphs hierarchy
• get semantic iterators on graph elements
• create and retrieve properties of different types to get/set data on the graph

This class can not be instanced directly. Use tlp.newGraph() to create a new empty graph.

Modification of the graph structure

tlp.Graph.clear()

Remove all nodes, edges and subgraphs from the graph .

tlp.Graph.addNode()

Adds a new node in the graph and returns it. This node is also added in all the graph’s ancestors to maintain the sub-graph relation between graphs.

Return type:tlp.node

tlp.Graph.addNodes(nbNodes)

New in version 3.7.

Adds new nodes in the graph and returns them in a list. The new nodes are also added in all the graph ancestors to maintain the sub-graph relation between graphs.

Parameters:nbNodes (integer) – the number of nodes to add in the graph Return type:list of tlp.node

Warning

the addedNodes vector is cleared before adding nodes.

tlp.Graph.addNode(node)

Adds an existing node in the graph. This node is also added in all the graph ancestors to maintain the sub-graph relation between graphs.

Parameters:node (tlp.node) – an existing node to add to the graph Throws :an exception if the node does not belong to the root graph

Warning

The node must be an element of the graph hierarchy, thus it must be an element of the root graph.

Warning

One can’t add an existing node to the root graph.

tlp.Graph.addNodes(itNodes)

New in version 3.7.

Adds existing nodes in the graph. The nodes are also added in all the graph ancestors to maintain the sub-graph relation between graphs.

Parameters:itNodes (a Tulip iterator on tlp.node objects) – an iterator on nodes to add Throws :an exception if one of the node to add is not an element of the root graph.

Warning

The added nodes must be elements of the graph hierarchy, thus they must be elements of the root graph.

Warning

One can’t add existing nodes to the root graph.

tlp.Graph.delNode(node[, deleteInAllGraphs = False])

Deletes a node in the graph. This node is also removed in all the sub-graphs of the graph to maintain the sub-graph relation between graphs.

Parameters:

• node (tlp.node) – the node to delete
• deleteInAllGraphs (boolean) – if True, remove the node in all the hierarchy of graphs

Throws :

an exception if the node does not belong to the graph

tlp.Graph.delNodes(itNodes[, deleteInAllGraphs=False])

New in version 3.7.

Deletes nodes in the graph. These nodes are also removed in the sub-graphs hierarchy of the current graph to maintain the sub-graph relation between graphs.

Parameters:

• itNodes (a Tulip iterator on tlp.node objects) – an iterator on the nodes to add
• deleteInAllGraphs (boolean) – if True, these nodes are deleted in the whole hierarchy of graphs.

Throws :

an exception if one of the node to delete is not an element of the graph.

tlp.Graph.addEdge(src, tgt)

Adds a new edge in the graph and returns it. This edge is also added in all the graph’s ancestors to maintain the sub-graph relation between graphs.

Parameters:

• src (tlp.node) – the source node of the new edge
• tgt (tlp.node) – the target node of the new edge

Return type:

tlp.edge

Throws :

an exception if the provided source or target node does not belong to the graph

tlp.Graph.addEdges(edges)

New in version 4.5.

Adds existing edges in the graph. The edges are also added in all the graph ancestors to maintain the sub-graph relation between graphs.

Parameters:edges (a list of tlp.edge objects) – a vector of edges to add Throws :an exception if one of the edge to add is not an element of the root graph or if one of the edges extremities is not an element of the graph.

Warning

The added edges must be elements of the graph hierarchy, thus they must be elements of the root graph.

Warning

One can’t add existing edges to the root graph.

tlp.Graph.addEdge(edge)

Adds an existing edge in the graph. This edge is also added in all the graph’s ancestors to maintain the sub-graph relation between graphs.

Parameters:edge (tlp.edge) – an existing edge to add to the graph Throws :an exception if the edge does not belong to the root graph of if the source and target node of the edge are not elements of the graph

Warning

The edge must be an element of the graph hierarchy, thus it must be an element of the root graph.

Warning

One can’t add an existing edge to the root graph.

tlp.Graph.addEdges(itEdges)

New in version 3.7.

Adds existing edges in the graph. The edges are also added in all the graph ancestors to maintain the sub-graph relation between graphs.

Parameters:itEdges (a Tulip iterator on tlp.edge objects) – an iterator on the edges to add Throws :an exception if one of the edge to add is not an element of the root graph or if one of the edges extremities is not an element of the graph.

Warning

The added edges must be elements of the graph hierarchy, thus they must be elements of the root graph.

tlp.Graph.delEdge(edge[, deleteInAllGraphs = False])

Deletes an edge in the graph. This edge is also removed in all the sub-graphs of the graph to maintain the sub-graph relation between graphs. The ordering of edges is preserved.

Parameters:

• edge (tlp.edge) – the edge to delete
• deleteInAllGraphs (boolean) – if True, remove the edge in all the hierarchy of graphs

Throws :

an exception if the edge does not belong to the graph

tlp.Graph.delEdges(itEdges[, deleteInAllGraphs=False])

New in version 3.7.

Deletes edges in the graph. These edges are also removed in the sub-graphs hierarchy of the current graph to maintain the sub-graph relation between graphs. The ordering of remaining edges is preserved.

Parameters:

• itEdges (a Tulip iterator on tlp.edge objects) – an iterator on the edges to delete
• deleteInAllGraphs – If True, the edges are deleted in the whole hierarchy of graphs.
• deleteInAllGraphs – boolean

Throws :

an exception if one of the edge to delete is not an element of the graph

tlp.Graph.setEdgeOrder(node, edges)

Sets the order of the edges around a node. This operation ensures that adjacent edges of a node will be ordered as they are in the list of edges given in parameter.

Parameters:

• node (tlp.node) – the node on which to set edges ordering
• edges (list of tlp.edge) – the list of edges adjacent to the node

Throws :

an exception if the node does not belong to the graph

tlp.Graph.swapEdgeOrder(node, edge1, edge2)

Swaps two edges in the adjacency list of a node.

Parameters:

• node (tlp.node) – the node on which swapping two edges in its adjacency list
• edge1 (tlp.edge) – an edge adjacent to the node
• edge2 (tlp.edge) – another edge adjacent to the node

Throws :

an exception if the node or one of the edges does not belong to the graph

tlp.Graph.setSource(edge, src)

Sets the source of an existing edge.

Parameters:

• edge (tlp.edge) – the edge on which to change the source node
• src (tlp.node) – the new source node of the edge

Throws :

an exception if the edge or the node does not belong to the graph

tlp.Graph.setTarget(edge, tgt)

Sets the target of an existing edge.

Parameters:

• edge (tlp.edge) – the edge on which to change the target node
• tgt (tlp.node) – the new target node of the edge

Throws :

an exception if the edge or node does not belong to the graph

tlp.Graph.setEnds(edge, src, tgt)

Sets both the source and target of an existing edge.

Parameters:

• edge (tlp.edge) – the edge on which to change the source and target nodes
• src (tlp.node) – the new source node of the edge
• tgt (tlp.node) – the new target node of the edge

Throws :

an exception if the edge or one of the nodes does not belong to the graph

tlp.Graph.reverse(edge)

Reverses the direction of an edge, the source becomes the target and the target becomes the source.

Parameters:edge (tlp.edge) – the edge on which to revert the direction. Throws :an exception if the edge does not belong to the graph

Warning

The ordering is global to the entire graph hierarchy. Thus, by changing the ordering in a graph you change the ordering in the hierarchy.

Creation and Modification of the sub-graphs hierarchy

tlp.Graph.addSubGraph([selection = None, name = "unnamed"])

Creates and returns a new sub-graph. The elements of the new sub-graph are those selected in the selection. If there is no selection an empty sub-graph is returned.

Parameters:

• selection (tlp.BooleanProperty) – a Boolean property whose selected elements will be added to the sub-graph
• name (string) – The name of the newly created subgraph. Defaults to “unnamed”.

Return type:

tlp.Graph

tlp.Graph.addSubGraph(name)

New in version 3.7.

Creates and returns a new named sub-graph of this graph.

Parameters:name (string) – The name of the newly created subgraph. Return type:tlp.Graph

tlp.Graph.addCloneSubGraph(name = "unnamed", addSibling = false)

New in version 4.5.

Creates and returns a subgraph of this graph (or the parent of this graph) that contains all its elements.

Parameters:

• name (string) – The name of the newly created subgraph. Defaults to “unnamed”.
• addSibling (bool) – if true a sibling of this graph will be created; a subgraph of this graph if not. Defaults to false

Return type:

tlp.Graph

tlp.Graph.inducedSubGraph(nodeSet)

Creates and returns a new sub-graph of the graph induced by a set of nodes. The sub-graph contains all the nodes of the set and all the existing edges between two nodes of the set including self-loops.

Parameters:nodeSet (list or set of tlp.node) – the set of nodes from which to build the induced sub-graph Return type:tlp.Graph

tlp.Graph.delSubGraph(subgraph)

Delete a sub-graph of this graph. The sub-graph’s sub-graphs become sub-graphs of the graph.

Parameters:subgraph (tlp.Graph) – the sub-graph to remove

tlp.Graph.delAllSubGraphs(subgraph)

Delete a sub-graph of this graph and all its sub-graphs.

Parameters:subgraph (tlp.Graph) – the sub-graph to remove

tlp.Graph.getSuperGraph()

Returns the parent of the graph, if it has no parent (is the root graph), it returns itself.

Return type:tlp.Graph

tlp.Graph.getRoot()

Returns the root graph of the graph hierarchy.

Return type:tlp.Graph

tlp.Graph.setSuperGraph(superGraph)

Sets the parent of the graph (use very carefully). Standard users should never use this method.

Parameters:superGraph (tlp.Graph) – the new parent for the graph in the hierarchy.

tlp.Graph.getSubGraphs()

Returns an iterator on all the sub-graphs of the graph.

Return type:a Tulip iterator on tlp.Graph objects

tlp.Graph.isSubGraph(graph)

Returns True if the graph argument is a direct sub-graph of the graph.

Parameters:graph (tlp.Graph) – a graph Return type:boolean

tlp.Graph.isDescendantGraph(graph)

Returns True if the graph argument is a descendant of this graph.

Parameters:graph (tlp.Graph) – a graph Return type:boolean

tlp.Graph.getSubGraph(id)

Returns the sub-graph with the corresponding id or None if there is no sub-graph with that id.

Parameters:id (integer) – a graph id Return type:tlp.Graph or None

tlp.Graph.getSubGraph(name)

New in version 3.7.

Returns the sub-graph with the corresponding name or None if there is no sub-graph with that name.

Parameters:name (string) – the name of the sub-graph to return Return type:tlp.Graph or None

tlp.Graph.getDescendantGraph(id)

Returns the descendant graph with the corresponding id or None if there is no descendant with that id.

Parameters:id (integer) – a graph id Return type:tlp.Graph or None

tlp.Graph.getNthSubGraph(n)

New in version 3.7.

Returns the nth subgraph or None if there is no such sub-graph. Since order cannot be ensured in every implementation, this method should be equivalent to:

i = 0
for sg in graph.getSubGraphs():
  if i++ == n:
    return sg
return None    

Parameters:n (integer) – the index of the sub-graph to return Return type:tlp.Graph or None

tlp.Graph.numberOfSubGraphs()

New in version 3.7.

Returns the number of direct sub-graphs.

Return type:integer

tlp.Graph.numberOfDescendantGraphs()

New in version 3.7.

Returns the number of descendant graphs.

Return type:integer

Iterators on the graph structure

All the provided iterators are stable, meaning you can safely delete a node/edge/subgraph from the graph while iterating on its nodes/edges/subgraphs.

tlp.Graph.getOneNode()

Returns an existing node of the graph.

Return type:tlp.node

tlp.Graph.getNodes()

Returns an iterator on the nodes.

Return type:a Tulip iterator on tlp.node objects

tlp.Graph.getInNode(node, i)

Returns the ith predecessor of a node.

Parameters:

• node (tlp.node) – an existing node of the graph
• i (integer) – the position in the predecessor nodes list (warning : first index is 1 not 0)

Return type:

tlp.node

Throws :

an exception if the node does not belong to the graph or if the requested index is lesser than the number of predecessor nodes

tlp.Graph.getInNodes(node)

Return an iterator on the predecessors of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.node objects Throws :an exception if the node does not belong to the graph

tlp.Graph.getOutNode(node, i)

Returns the ith successor of a node.

Parameters:

• node (tlp.node) – an existing node of the graph
• i (integer) – the position in the successor nodes list (warning : first index is 1 not 0)

Return type:

tlp.node

Throws :

an exception if the node does not belong to the graph or if the requested index is lesser than the number of successor nodes

tlp.Graph.getOutNodes(node)

Returns an iterator on the successors of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.node objects Throws :an exception if the node does not belong to the graph

tlp.Graph.getInOutNodes(node)

Returns an iterator on the neighbours of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.node objects Throws :an exception if the node does not belong to the graph

tlp.Graph.bfs([root])

New in version 4.2.

Returns an iterator performing a breadth-first search on the graph.

Parameters:root (tlp.node) – The node from whom to start the BFS. If not provided, the root node will be assigned to a source node in the graph (node with input degree equals to 0). If there is no source node in the graph, a random node will be picked. Return type:a Tulip iterator on tlp.node objects in the BFS order. Throws :an exception if the provided root node does not belong to the graph.

tlp.Graph.dfs([root])

New in version 4.2.

Returns an iterator performing a depth-first search on the graph.

Parameters:root (tlp.node) – The node from whom to start the DFS. If not provided, the root node will be assigned to a source node in the graph (node with input degree equals to 0). If there is no source node in the graph, a random node will be picked. Return type:a Tulip iterator on tlp.node objects in the DFS order. Throws :an exception if the provided root node does not belong to the graph.

tlp.Graph.getNodeMetaInfo(node)

Returns the underlying graph of a meta node.

Parameters:node (tlp.node) – an existing node of the graph Return type:tlp.Graph Throws :an exception if the node does not belong to the graph

tlp.Graph.getOneEdge()

Returns an existing edge of the graph.

Return type:tlp.edge

tlp.Graph.getEdges()

Returns an iterator on the edges.

Return type:a Tulip iterator on tlp.edge objects

tlp.Graph.getOutEdges(node)

Returns a Tulip iterator on the outgoing edges of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.edge objects Throws :an exception if the node does not belong to the graph

tlp.Graph.getInOutEdges(node)

Returns an iterator on the incoming and outgoing edges of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.edge objects Throws :an exception if the node does not belong to the graph

tlp.Graph.getInEdges(node)

Returns an iterator on the incoming edges of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:a Tulip iterator on tlp.edge objects Throws :an exception if the node does not belong to the graph

tlp.Graph.getEdgeMetaInfo(edge)

Returns an iterator on the underlying edges of a meta edge.

Parameters:edge (tlp.edge) – an existing edge of the graph Return type:a Tulip iterator on tlp.edge objects Throws :an exception if the edge does not belong to the graph

Informations about the graph stucture

tlp.Graph.getId()

Returns the graph’s id. This id is unique.

Return type:integer

tlp.Graph.getName()

Returns the name of the graph.

Return type:string

tlp.Graph.setName(name)

Sets the name of the graph.

Parameters:name (string) – the new name of the graph

tlp.Graph.getAttributes()

New in version 4.4.

Returns all the attributes of the graph.

Return type:tlp.DataSet

tlp.Graph.getAttribute(name)

Returns a reference on an attribute of the graph or None if it does not exist.

Parameters:name (string) – the name of the attribute to return. Return type:object Throws :an exception is the attribute does not exist

tlp.Graph.setAttribute(name, val)

Sets an attribute of the graph.

Parameters:

• name (string) – the name of the attribute to set
• val – the value of the attribute
• type – object

tlp.Graph.removeAttribute(name)

New in version 4.4.

Removes an attribute of the graph.

Parameters:name (string) – the name of the attribute to return. Return type:object Throws :an exception is the attribute does not exist

tlp.Graph.attributeExist(name)

New in version 4.4.

Checks if an attribute with a specific name exists in the graph.

Parameters:name (string) – the name of the attribute to test existence. Return type:boolean

tlp.Graph.numberOfNodes()

Returns the number of nodes in the graph.

Return type:integer

tlp.Graph.numberOfEdges()

Returns the number of edges in the graph.

Return type:integer

tlp.Graph.deg(node)

Returns the degree of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:integer Throws :an exception if the node does not belong to the graph

tlp.Graph.indeg(node)

Returns the incoming degree of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:integer Throws :an exception if the node does not belong to the graph

tlp.Graph.outdeg(node)

Returns the outgoing degree of a node.

Parameters:node (tlp.node) – an existing node of the graph Return type:integer Throws :an exception if the node does not belong to the graph

tlp.Graph.source(edge)

Returns the source of the edge.

Parameters:edge (tlp.edge) – an existing edge of the graph Return type:tlp.node Throws :an exception if the edge does not belong to the graph

tlp.Graph.target(edge)

Returns the target of the edge.

Parameters:edge (tlp.edge) – an existing edge of the graph Return type:tlp.node Throws :an exception if the edge does not belong to the graph

tlp.Graph.ends(edge)

Returns a tuple containing the two end nodes of an edge

Parameters:edge – an existing edge of the graph Return type:(tlp.node, tlp.node) Throws :an exception if the edge does not belong to the graph

tlp.Graph.opposite(edge, node)

Returns the opposite node of the edge for the given node.

Parameters:edge (tlp.edge) – an existing edge of the graph Return type:tlp.node Throws :an exception if the edge does not belong to the graph or if the given node is not linked by the edge

tlp.Graph.isElement(node)

Returns True if the node is an element of the graph.

Parameters:node (tlp.node) – a node Return type:boolean

tlp.Graph.isMetaNode(node)

Returns True if the node is a meta-node.

Parameters:node (tlp.edge) – an existing node of the graph Return type:boolean Throws :an exception if the node does not belong to the graph

tlp.Graph.isElement(edge)

Returns True if the edge is an element of the graph.

Parameters:edge (tlp.edge) – an edge Return type:boolean

tlp.Graph.isElement(node)

Parameters:node (tlp.node) – a node Return type:boolean

tlp.Graph.isMetaEdge(edge)

Returns True if the edge is a meta-edge.

Parameters:edge – an existing edge of the graph Return type:boolean Throws :an exception if the edge does not belong to the graph

tlp.Graph.existEdge(node1, node2[, directed=True])

Returns the first edge found between two nodes. If no edge is found, returns an invalid edge.

Parameters:

• node1 (tlp.node) – an existing node of the graph
• node2 (tlp.node) – an existing node of the graph
• directed (boolean) – indicates if the direction of the edge (from source to target) must be taken in to account

Return type:

tlp.edge

Throws :

an exception if one of the nodes does not belong to the graph

tlp.Graph.getSource()

New in version 3.7.

Finds the first node whose input degree equals 0. Returns the found node (invalid if there is no source);

Return type:tlp.node

Create/Access graph properties

tlp.Graph.getBooleanProperty(name)

Returns the boolean property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the boolean property to return or to create Return type:tlp.BooleanProperty

tlp.Graph.getLocalBooleanProperty(name)

Returns the boolean property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the boolean property to return or to create Return type:tlp.BooleanProperty

tlp.Graph.getBooleanVectorProperty(name)

Returns the boolean vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the boolean vector property to return or to create Return type:tlp.BooleanVectorProperty

tlp.Graph.getLocalBooleanVectorProperty(name)

Returns the boolean vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the boolean vector property to return or for n in graph.getNodes(): print nto create Return type:tlp.BooleanVectorProperty

tlp.Graph.getColorProperty(name)

Returns the color property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the color property to return or to create Return type:tlp.ColorProperty

tlp.Graph.getLocalColorProperty(name)

Returns the color property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the color property to return or to create Return type:tlp.ColorProperty

tlp.Graph.getColorVectorProperty(name)

Returns the color vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the color vector property to return or to create Return type:tlp.ColorVectorProperty

tlp.Graph.getLocalColorVectorProperty(name)

Returns the color vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the color vector property to return or to create Return type:tlp.ColorVectorProperty

tlp.Graph.getDoubleProperty(name)

Returns the double property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the double property to return or to create Return type:tlp.DoubleProperty

tlp.Graph.getLocalDoubleProperty(name)

Returns the double property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the double property to return or to create Return type:tlp.DoubleProperty

tlp.Graph.getDoubleVectorProperty(name)

Returns the double vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the double vector property to return or to create Return type:tlp.DoubleVectorProperty

tlp.Graph.getLocalDoubleVectorProperty(name)

Returns the double vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the double vector property to return or to create Return type:tlp.DoubleVectorProperty

tlp.Graph.getIntegerProperty(name)

Returns the integer property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the integer property to return or to create Return type:tlp.IntegerProperty

tlp.Graph.getLocalIntegerProperty(name)

Returns the integer property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the integer property to return or to create Return type:tlp.IntegerProperty

tlp.Graph.getIntegerVectorProperty(name)

Returns the integer vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the integer vector property to return or to create Return type:tlp.IntegerVectorProperty

tlp.Graph.getLocalIntegerVectorProperty(name)

Returns the integer vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the integer vector property to return or to create Return type:tlp.IntegerVectorProperty

tlp.Graph.getGraphProperty(name)

Returns the meta-graph property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the meta-graph property to return or to create Return type:tlp.GraphProperty

tlp.Graph.getLocalGraphProperty(name)

Returns the meta-graph property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the meta-graph property to return or to create Return type:tlp.GraphProperty

tlp.Graph.getLayoutProperty(name)

Returns the layout property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the layout property to return or to create Return type:tlp.LayoutProperty

tlp.Graph.getLocalLayoutProperty(name)

Returns the layout property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the layout property to return or to create Return type:tlp.LayoutProperty

tlp.Graph.getCoordVectorProperty(name)

Returns the coord vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the coord vector property to return or to create Return type:tlp.CoordVectorProperty

tlp.Graph.getLocalCoordVectorProperty(name)

Returns the coord vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the coord vector property to return or to create Return type:tlp.CoordVectorProperty

tlp.Graph.getSizeProperty(name)

Returns the size property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the size property to return or to create Return type:tlp.SizeProperty

tlp.Graph.getLocalSizeProperty(name)

Returns the size property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the size property to return or to create Return type:tlp.SizeProperty

tlp.Graph.getSizeVectorProperty(name)

Returns the size vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the size vector property to return or to create Return type:tlp.SizeVectorProperty

tlp.Graph.getLocalSizeVectorProperty(name)

Returns the size vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the size vector property to return or to create Return type:tlp.SizeVectorProperty

tlp.Graph.getStringProperty(name)

Returns the string property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the string property to return or to create Return type:tlp.StringProperty

tlp.Graph.getLocalStringProperty(name)

Returns the string property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the string property to return or to create Return type:tlp.StringProperty

tlp.Graph.getStringVectorProperty(name)

Returns the string vector property associated to name in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the string vector property to return or to create Return type:tlp.StringVectorProperty

tlp.Graph.getLocalStringVectorProperty(name)

Returns the string vector property associated to name in the graph properties pool. If the property is not registered in the pool, it creates a new one and returns it. Using of del on that property will cause a segmentation violation (use tlp.Graph.delLocalProperty() instead).

Parameters:name (string) – the name of the string vector property to return or to create Return type:tlp.StringVectorProperty

tlp.Graph.getProperty(name)

Returns the property associated to name in the graph properties pool. The returned property is referenced by its base class tlp.PropertyInterface meaning getting and setting values can only be done via the use of strings. To get the property correctly typed, use the methods described above. If the property does not exist it returns None.

Parameters:name (string) – the name of the property to return Return type:tlp.PropertyInterface

tlp.Graph.existProperty(name)

Returns True if a property of that name exists in the graph properties pool or in the pool of an ancestor in the sub-graphs hierarchy.

Parameters:name (string) – the name of the property Return type:boolean

tlp.Graph.existLocalProperty(name)

Returns True if a property of that name exists in the graph properties pool.

Parameters:name (string) – the name of the property Return type:boolean

tlp.Graph.delLocalProperty(name)

Removes and deletes the property associated to name in the graph properties pool.

Parameters:name (string) – the name of the property to delete

tlp.Graph.getLocalProperties()

Returns an iterator on the names of the properties local to the graph.

Return type:a Tulip iterator on string objects

tlp.Graph.getInheritedProperties()

Returns an iterator on the names of the properties inherited from the graph’s ancestors.

Return type:a Tulip iterator on string objects

tlp.Graph.getProperties()

Returns an iterator on the names of all the properties attached to the graph.

Return type:a Tulip iterator on string objects

Application of algorithms

tlp.Graph.applyAlgorithm(algoName[, dataSet])

New in version 3.7.

Applies an algorithm plugin, identified by its name. Algorithm plugins are objects implementing the tlp::Algorithm interface in C++ or the tlp.Algorithm interface in Python. Parameters can be transmit to the algorithm using a tlp.DataSet. To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – The name of the algorithm to apply.
• dataSet (tlp.DataSet) – The parameters to the algorithm. Defaults to None.

Return type:

(boolean, string)

tlp.Graph.applyBooleanAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a boolean property on the current graph using an external named boolean algorithm (plugin). Boolean algorithm plugins are objects implementing the tlp::BooleanAlgorithm interface in C++ or the tlp.BooleanAlgorithm interface in Python. The list of currently loaded boolean algorithm plugins can be retrieved through the tlp.getBooleanAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the boolean algorithm to call
• result (tlp.BooleanProperty) – a boolean property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested boolean algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call boolean algorithms (see Loading Tulip plugins)).

tlp.Graph.applyColorAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a color property on the current graph using an external named color algorithm (plugin). Color algorithm plugins are objects implementing the tlp::ColorAlgorithm interface in C++ or the tlp.ColorAlgorithm interface in Python. The list of currently loaded color algorithm plugins can be retrieved through the tlp.getColorAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the color algorithm to call
• result (tlp.ColorProperty) – a color property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested color algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call color algorithms (see Loading Tulip plugins)).

tlp.Graph.applyDoubleAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a double property on the current graph using an external named double algorithm (plugin). Double algorithm plugins are objects implementing the tlp::DoubleAlgorithm interface in C++ or the tlp.DoubleAlgorithm interface in Python. The list of currently loaded double algorithm plugins can be retrieved through the tlp.getDoubleAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the double algorithm to call
• result (tlp.DoublrProperty) – a double property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested double algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call double algorithms (see Loading Tulip plugins)).

tlp.Graph.applyIntegerAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes an integer property on the current graph using an external named integer algorithm (plugin). Integer algorithm plugins are objects implementing the tlp::IntegerAlgorithm interface in C++ or the tlp.IntegerAlgorithm interface in Python. The list of currently loaded integer algorithm plugins can be retrieved through the tlp.getIntegerAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the integer algorithm to call
• result (tlp.IntegerProperty) – an integer property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested integer algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call integer algorithms (see Loading Tulip plugins)).

tlp.Graph.applyLayoutAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a layout property on the current graph using an external named layout algorithm (plugin). Layout algorithm plugins are objects implementing the tlp::LayoutAlgorithm interface in C++ or the tlp.LayoutAlgorithm interface in Python. The list of currently loaded layout algorithm plugins can be retrieved through the tlp.getLayoutAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the layout algorithm to call
• result (tlp.LayoutProperty) – a layout property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested layout algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call layout algorithms (see Loading Tulip plugins)).

tlp.Graph.applySizeAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a size property on the current graph using an external named size algorithm (plugin). Size algorithm plugins are objects implementing the tlp::SizeAlgorithm interface in C++ or the tlp.SizeAlgorithm interface in Python. The list of currently loaded size algorithm plugins can be retrieved through the tlp.getSizeAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the size algorithm to call
• result (tlp.SizeProperty) – a size property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested size algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call size algorithms (see Loading Tulip plugins)).

tlp.Graph.applyStringAlgorithm(algoName, result[, dataSet = None])

New in version 3.8.

Computes a string property on the current graph using an external named string algorithm (plugin). String algorithm plugins are objects implementing the tlp::StringAlgorithm interface in C++ or the tlp.StringAlgorithm interface in Python. The list of currently loaded string algorithm plugins can be retrieved through the tlp.getStringAlgorithmPluginsList() function. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the string algorithm to call
• result (tlp.StringProperty) – a string property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested string algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Warning

If you are using the bindings through the classical Python interpreter, Tulip plugins must be loaded in order to be able to call string algorithms (see Loading Tulip plugins)).

tlp.Graph.computeBooleanProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyBooleanAlgorithm() instead

Computes a boolean property on the current graph using an external named boolean algorithm (plugin). Boolean algorithm plugins are objects implementing the tlp::BooleanAlgorithm interface in C++ or the tlp.BooleanAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the boolean algorithm to call
• result (tlp.BooleanProperty) – a boolean property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested boolean algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeColorProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyColorAlgorithm() instead

Computes a color property on the current graph using an external named color algorithm (plugin). Color algorithm plugins are objects implementing the tlp::ColorAlgorithm interface in C++ or the tlp.ColorAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the color algorithm to call
• result (tlp.ColorProperty) – a color property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested color algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeDoubleProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyDoubleAlgorithm() instead

Computes a double property on the current graph using an external named double algorithm (plugin). Double algorithm plugins are objects implementing the tlp::DoubleAlgorithm interface in C++ or the tlp.DoubleAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the double algorithm to call
• result (tlp.DoublrProperty) – a double property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested double algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeIntegerProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyIntegerAlgorithm() instead

Computes an integer property on the current graph using an external named integer algorithm (plugin). Integer algorithm plugins are objects implementing the tlp::IntegerAlgorithm interface in C++ or the tlp.IntegerAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the integer algorithm to call
• result (tlp.IntegerProperty) – an integer property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested integer algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeLayoutProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyLayoutAlgorithm() instead

Computes a layout property on the current graph using an external named layout algorithm (plugin). Layout algorithm plugins are objects implementing the tlp::LayoutAlgorithm interface in C++ or the tlp.LayoutAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the layout algorithm to call
• result (tlp.LayoutProperty) – a layout property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested layout algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeSizeProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applySizeAlgorithm() instead

Computes a size property on the current graph using an external named size algorithm (plugin). Size algorithm plugins are objects implementing the tlp::SizeAlgorithm interface in C++ or the tlp.SizeAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the size algorithm to call
• result (tlp.SizeProperty) – a size property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested size algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

tlp.Graph.computeStringProperty(algoName, result[, dataSet = None])

Deprecated since version 3.8: use tlp.Graph.applyStringAlgorithm() instead

Computes a string property on the current graph using an external named string algorithm (plugin). String algorithm plugins are objects implementing the tlp::StringAlgorithm interface in C++ or the tlp.StringAlgorithm interface in Python. The computed values will be stored in result. Parameters can be transmit to the algorithm using a tlp.DataSet . In some cases, algorithms can use this tlp.DataSet in order to return some external information (not stored in result). To determine a plugin’s parameters, you can either:

• refer to its documentation
• call the tlp.getDefaultPluginParameters() with the name of the plugin

Returns a tuple whose first member is a boolean indicating if the algorithm terminates successfully and second member is a string which can contain an error message.

Parameters:

• algoName (string) – the name of the string algorithm to call
• result (tlp.StringProperty) – a string property in which result of the algorithm will be stored
• dataSet (tlp.DataSet) – a data set containing some parameters to transmit to the algorithm

Return type:

(boolean, string)

Throws :

an exception if the requested string algorithm plugin is not registered in the plugins database.

Warning

Previous values stored in result will be deleted.

Update management

tlp.Graph.push([unpopAllowed=True])

Marks the state of the current root graph in the hierarchy. The next updates will be recorded in order to be undone at the next call of the tlp.Graph.pop() method. Be careful that all the updates are undone except those who affect the ordering of edges.

Parameters:unpopAllowed (boolean) – If set to False, the next updates could not be replayed after undone. If some previously undonevupdates exist they could no longer be replayed.

tlp.Graph.pop([unpopAllowed=True])

Restores a previously marked state of the current root graph in the hierarchy. The restored state does not remain marked.

Parameters:unpopAllowed (boolean) – If set to False, the undone updates could not be replayed.

tlp.Graph.unpop()

Marks again the current state of the root graph hierarchy and replays the last updates previously undone.

tlp.Graph.canPop()

Returns True if a previously marked state can be restored.

Return type:boolean

tlp.Graph.canUnpop()

Returns True if some previously undone updates can be replayed.

Return type:boolean

tlp.Graph.canPopThenUnpop()

Returns True if the current state updates can be undone then replayed.

Return type:boolean

Meta-nodes management

tlp.Graph.createMetaNode(nodeSet[, multiEdges=True, delAllEdge=True])

Closes a set of existing nodes into a metanode and returns it. Edges from nodes in the set to other nodes are replaced with edges from the metanode to the other nodes.

Parameters:

• nodeSet (set of tlp.node) – a list or set of existing nodes
• multiEdges (boolean) – indicates if a meta edge will be created for each underlying edge
• delAllEdge (boolean) – indicates if the underlying edges will be removed from the entire hierarchy

Return type:

tlp.node

Throws :

an exception if one of the provided nodes does not belong to the graph.

Warning

This method will fail when called on the root graph.

tlp.Graph.createMetaNodes(itGraph, quotientGraph)

Populates a quotient graph with one meta node for each iterated graph. Returns a list of created meta-nodes.

Parameters:

• itGraph (a Tulip iterator on tlp.Graph objects) – a graph iterator, (typically a subgraph iterator)
• quotientGraph (tlp.Graph) – the graph that will contain the meta nodes

Return type:

list of tlp.node

tlp.Graph.createMetaNode(subgraph[, multiEdges=True, delAllEdge=True])

Closes a subgraph into a metanode and returns it. Edges from nodes in the subgraph to nodes outside the subgraph are replaced with edges from the metanode to the nodes outside the subgraph.

The provided subgraph can not be a descendant of the current graph in the graph hierarchy. When creating a metanode, all nodes that are closed in it are first deleted from the graph. These nodes are also deleted in the subgraphs of the graph and in all descendant subgraphs. So if the provided subgraph is a descendant of the graph, all its nodes and edges will be deleted and the meta-node will point to an empty subgraph.

Parameters:

• subgraph (tlp.Graph) – an existing subgraph
• multiEdges (boolean) – indicates if a meta edge will be created for each underlying edge
• delAllEdge (boolean) – indicates if the underlying edges will be removed from the entire hierarchy

Return type:

tlp.node

Throws :

an exception if the provided subgraph is a descandent of the graph in the graph hierarchy or if one of the element in the subgraph does not belong to the graph.

Warning

This method will fail when called on the root graph.

tlp.Graph.openMetaNode(metaNode[, updateProperties=True])

Opens a metanode and replaces all edges between that meta node and other nodes in the graph.

Parameters:

• metaNode (tlp.node) – the meta-node to open
• updateProperties (boolean) – If True, open meta node will update inner nodes layout, color, size, etc...

Warning

This method will fail when called on the root graph.

Tulip datatypes

tlp.Vec3f

class tlp.Vec3f

This class represents a vector with 3 floating point components. It can be instantiated as illustrated in the code below:

# Initializes a Vec3f with all components set to 0.0
v = tlp.Vec3f()

# Initializes a Vec3f with all components set to 1.0
v2 = tlp.Vec3f(1.0)

# Initializes a Vec3f by specifying the value of each component
v3 = tlp.Vec3f(1.0, 2.0, 3.0) 

# Initializes a Vec3f by copy
v4 = tlp.Vec3f(v3)

Numerous mathematical operations are available to work with vectors. The sample code below illustrates them:

# Instantiate two vectors
v = tlp.Vec3f(4.5, 1.0, 3.0)
v2 = tlp.Vec3f(1.5, 2.0, 6.0)

# Add two vectors, operator += is also available
v3 = v + v2

# Add a value to all components of a vector, operator += is also available
v4 = v + 2.0

# Subtract two vectors, operator -= is also available
v5 = v - v2

# Subtract a value to all components of a vector, operator -= is also available
v6 = v - 3.0

# Multiply two vectors (not vector product), operator *= is also available
v7 = v * v2

# Multiply each component of a vector by a value, operator *= is also available
v8 = v * 2.0

# Divide two vectors, operator /= is also available
v9 = v / v2

# Divide each component of a vector by a value, operator /= is also available
v10 = v / 2.0

# Perform a vector product, operator ^= is also available
v11 = v ^ v2

Each component of the vector can be read / written through the [] operator:

v = tlp.Vec3f(1.0, 2.0, 3.0)

# read first component
a = v[0]

# write third component
v[2] = 4.0

Operators for vectors equality (==), vectors difference (!=) and vectors comparison (<, >) are also available.

depth()

Convenient method. Returns the third component of the vector.

Return type:float

dist(v)

Computes and returns the distance between the vector (3d point) and another one.

Parameters:v (tlp.Vec3f) – a vector Return type:float

dotProduct(v)

Computes and returns the dot product (scalar product) of the vector with another one

Parameters:v (tlp.Vec3f) – a vector Return type:float

fill(val)

Set the same value to each component of the vector.

Parameters:val (float) – a value

get()

Returns the vector as a tuple.

Return type:(float, float, float)

getD()

Convenient method. Returns the third component of the vector.

Return type:float

getH()

Convenient method. Returns the second component of the vector.

Return type:float

getW()

Convenient method. Returns the first component of the vector.

Return type:float

getX()

Convenient method. Returns the first component of the vector.

Return type:float

getY()

Convenient method. Returns the second component of the vector.

Return type:float

getZ()

Convenient method. Returns the third component of the vector.

Return type:float

height()

Convenient method. Returns the second component of the vector.

Return type:float

norm()

Computes and returns the euclidean norm of the vector.

Return type:float

set(x, y, z)

Sets each component of the vector.

Parameters:

• x (float) – the first component value
• y (float) – the second componant value
• z (float) – the third component value

setD(depth)

Convenient method. Sets the third component of the vector.

Parameters:depth (float) – a value

setH(height)

Convenient method. Sets the second component of the vector.

Parameters:height (float) – a value

setW(width)

Convenient method. Sets the first component of the vector.

Parameters:width (float) – a value

setX(x)

Convenient method. Sets the first component of the vector.

Parameters:x (float) – a value

setY(y)

Convenient method. Sets the second component of the vector.

Parameters:y (float) – a value

setZ(z)

Convenient method. Sets the third component of the vector.

Parameters:z (float) – a value

width()

Convenient method. Returns the first component of the vector.

Return type:float

x()

Convenient method. Returns the first component of the vector.

Return type:float

y()

Convenient method. Returns the second component of the vector.

Return type:float

z()

Convenient method. Returns the third component of the vector.

Return type:float

tlp.Vec4f

class tlp.Vec4f

This class represents a vector with 4 floating point components. Constructors, operators and methods are similar to those from the tlp.Vec3f class.

tlp.Vec4i

class tlp.Vec4i

This class represents a vector with 4 integer components. Constructors, operators and methods are similar to those from the tlp.Vec3f class.

tlp.Coord

tlp.Coord

alias of Vec3f

tlp.BoundingBox

class tlp.BoundingBox

This class represents the 3D bounding box of an object. It is defined by two 3d points, the first one being the lowest point (bottom-left corner), the second being the highest (top-right corner).

A bounding box can be instantiated and manipulated the following ways:

# Initialize a non-valid bounding box.
# The minimum is (1, 1, 1) and the maximum is (-1, -1, -1).
bb = tlp.BoundingBox()

# Initialize a bounding box by specifying the lowest and highest point.
# The validity of the bounding box is checked in debug mode (an assertion is raised if it is not valid). 
bb2 = tlp.BoundingBox(tlp.Vec3f(0,0,0), tlp.Vec3f(10,10,10))

# Reading / writing the bounding box components can be done through the [] operator
min = bb2[0]
max = bb2[1]

center()

Returns the geometrical center of the bounding box.

Return type:tlp.Vec3f

contains(point)

New in version 3.7.

Checks if the given point is inside the current bounding box. If the bounding box is invalid the result is always False.

Parameters:point (tlp.Vec3f) – a point in the 3D space. Return type:boolean

depth()

Returns the depth of the bounding box.

Return type:float

expand(point)

Expands the bounding box to one containing the vector passed as parameter. If the vector is inside the bounding box, it remains unchanged.

Parameters:point (tlp.Vec3f) – A point in the 3D space we want the bounding box to encompass.

height()

Returns the height of the bounding box.

Return type:float

intersect(boundingBox)

New in version 3.7.

Checks if the given bounding box intersects the current one. If one of the bounding boxes is invalid returns False.

Parameters:boundingBox (tlp.BoundingBox) – the bounding box on which to check intersection Return type:boolean

intersect(segStart, segEnd)

New in version 3.7.

Checks if the bounding box intersects the given line segment. If the bounding box is invalid the result is always False.

Parameters:

• segStart (tlp.Vec3f) – the start point of the line segment on which to check intersection
• segEnd (tlp.Vec3f) – the end point of the line segment on which to check intersection

Return type:

boolean

isValid()

Checks whether the bounding box’s lowest point is less than it’s highest point. “Less Than” means axis-by-axis comparison, i.e. x1 < x2 && y1 < y2 && z1 < z2.

Return type:boolean

translate(displacement)

Translates the bounding box by the displacement given by the vector passed as parameter.

Parameters:displacement (tlp.Vec3f) – The displacement vector in 3D space to translate this bounding box by.

width()

Returns the width of the bounding box.

Return type:float

tlp.Size

tlp.Size

alias of Vec3f

tlp.Color

class tlp.Color

This class represents a color using the RGBA color space. It can be instantiated the following way:

# Each component must be in the range [0, 255]
redOpaque = tlp.Color(255, 0, 0)

blueTranslucent = tlp.Color(0, 0, 255, 100)

The value of each component can be read / written using the [] operator.

getA()

Returns the alpha component of the color.

Return type:integer

getAGL()

Returns the alpha component of the color in the OpenGL format (a float value between 0.0 and 1.0).

Return type:float

getB()

Returns the blue component of the color.

Return type:integer

getBGL()

Returns the blue component of the color in the OpenGL format (a float value between 0.0 and 1.0).

Return type:float

getG()

Returns the green component of the color.

Return type:integer

getGGL()

Returns the green component of the color in the OpenGL format (a float value between 0.0 and 1.0).

Return type:float

getH()

Returns the hue component (in the range [0, 360]) of the color in the HSV color space.

Return type:integer

getR()

Returns the red component of the color.

Return type:integer

getRGL()

Returns the red component of the color in the OpenGL format (a float value between 0.0 and 1.0).

Return type:float

getS()

Returns the saturation component (in the range [0, 255]) of the color in the HSV color space.

Return type:integer

getV()

Returns the value component (in the range [0, 255]) of the color in the HSV color space.

Return type:integer

set(red, green, blue, alpha)

Sets each component of the color. Each component must be in the range [0, 255].

Parameters:

• red (integer) – the red component value
• green (integer) – the green component value
• blue (integer) – the blue component value
• alpha (integer) – the alpha component value

setA(alpha)

Sets the alpha component of the color (must be in the range [0, 255]).

Parameters:alpha (integer) – the alpha component value

setB(blue)

Sets the blue component of the color (must be in the range [0, 255]).

Parameters:blue (integer) – the blue component value

setG(green)

Sets the green component of the color (must be in the range [0, 255]).

Parameters:green (integer) – the green component value

setH(hue)

Sets the hue component of the color in the HSV color space (must be in the range [0, 360]).

Parameters:hue (integer) – the hue component value

setR(red)

Sets the red component of the color (must be in the range [0, 255]).

Parameters:red (integer) – the red component value

setS(saturation)

Sets the saturation component of the color in the HSV color space (must be in the range [0, 255]).

Parameters:saturation (integer) – the saturation component value

setV(value)

Sets the value component of the color in the HSV color space (must be in the range [0, 255]).

Parameters:value (integer) – the value component value

tlp.ColorScale

class tlp.ColorScale

This class represents a color scale to perform color mapping. The color scale can be either gradient (default) or predefined colors steps. If the color scale is a gradient, returned colors are interpolated in function of the position. If the color scale isn’t a gradient returned colors are the predefined colors steps.

The sample code below illustrates how to create and manipulate a color scale:

# Creating an empty color scale (default constructor creates a heatmap from blue to red).
colorScale = tlp.ColorScale([])

# Color scale initialization : from blue to red with gradient.
colorScale.setColorAtPos(0.0, tlp.Color(0,0,255))
colorScale.setColorAtPos(1.0, tlp.Color(255,0,0))

# The following syntax could also be used
# colors = [tlp.Color(0,0,255), tlp.Color(255,0,0)]
# colorScale.setColorScale(colors)
#    or
# colorScale = tlp.ColorScale(colors)

# Get the color for the position 0.5, i.e. Color(127,0,127).
color = colorScale.getColorAtPos(0.5);

# Reinitialize the color scale : from blue to red without gradient.
newColors = []
newColors.append(tlp.Color(0,0,255))
newColors.append(tlp.Color(255,0,0))
colorScale.setColorScale(newColors,False)

# Get the color for the position 0.3, i.e. Color(0,0,255).
color = colorScale.getColorAtPos(0.3)

# Get the color for the position 0.7, i.e. Color(255,0,0).
color = colorScale.getColorAtPos(0.7)

getColorAtPos(pos)

This method computes the color associated to a specific position in the color scale and returns it.

Parameters:pos (float) – This value defines the position of the color in the scale and must be between 0.0 and 1.0 (it will be clamped otherwise). Return type:tlp.Color

getColorMap()

Returns a dictionary corresponding to the color scale.

Return type:a dictionary whose indexes are of type float and the values of type tlp.Color

isGradient()

Returns True if the color scale is a gradient.

Return type:boolean

setColorAtPos(pos, color)

This method adds a color to the color scale at a specific position.

Parameters:

• pos (float) – the position in the color scale (0.0 <= pos <= 1.0)
• color (tlp.Color) – the color to add at the specified position

setColorScale(colors[, gradient = True])

This method configures the color scale. If the scale was previously configured the old configuration is lost.

Parameters:

• colors (list of tlp.Color) – The colors to use in the color scale.
• gradient (boolean) – If set to True, the color scale is a gradient

tlp.StringCollection

class tlp.StringCollection

This class represents a list of selectable string entries that can be used as plugin parameter. The list will appear as a combo box in the Plugin Parameter Dialog from the Tulip GUI.

at(index)

Returns the string element at a certain index in the collection.

Parameters:index (integer) – a valid index in the collection Return type:string

empty()

Returns True if the collection is empty.

Return type:boolean

getCurrent()

Returns the index of the current selected string.

Return type:integer

getCurrentString()

Returns the current selected string value.

Return type:string

push_back(element)

Adds a string value to this string collection.

Parameters:element (string) – the string to add to the collection

setCurrent(index)

Sets the current selected string index. Returns True if the provided index is valid.

Parameters:index (integer) – a valid index in the string collection Return type:boolean

setCurrent(value)

Sets the current selected string value. Returns True if the string value exists in the collection.

Parameters:value (string) – a string value from the collection Return type:boolean

size()

Returns the number of strings in the collection.

Return type:integer

tlp.DataSet

class tlp.DataSet

This class is used to store a set of parameters to transmit to a Tulip algorithm. Below is an exhaustive list of data types that can be stored in a Tulip data set:

• boolean
• integer
• float
• string
• tlp.Coord
• tlp.Color
• tlp.Size
• tlp.DataSet
• tlp.ColorScale
• tlp.StringCollection
• tlp.BooleanProperty
• tlp.ColorProperty
• tlp.DoubleProperty
• tlp.IntegerProperty
• tlp.LayoutProperty
• tlp.SizeProperty
• tlp.StringProperty
• tlp.PropertyInterface

If you try to store an unsupported data type, an exception will be thrown. Each value stored in a data set is associated to a string key. Reading / Writing a value in a data set is done through the [] operator as illustrated below:

# data set creation
dataSet = tlp.DataSet()

# writing integer values
dataSet["height"] = 100
dataSet["width"] = 300

# reading integer values
area = dataSet["height"] * dataSet["width"] 

When reading a data set value, a reference is returned not a copy.

exist(key)

Checks if the data set contains a value associated to a particular key.

Parameters:key (string) – the key to check Return type:boolean

getKeys()

Returns the list of keys associated to the values stored in the data set.

Return type:list of string

remove(key)

Remove the value associated to a particular key from the data set if it exists.

Parameters:key (string) – the key of the value to remove.

size()

Returns the number of values stored in the data set.

Return type:integer

tlp.PluginProgress

class tlp.PluginProgress

This interface allows to notify and control the progression of a process.

cancel()

Sets the state flag to cancel, notifying to the process that the user wants to cancel it. Canceling a process must stop it and revert all the changes performed since its start.

getError()

Returns a message describing the error encountered during the process. If no error has been encountered, an empty string is returned.

Return type:string

isPreviewMode()

Returns True if the preview mode is enabled. The preview mode redraws the graph while applying the algorithm, making it slower.

Return type:boolean

progress(step, maxStep)

Use this method to notify the progression of the process.

Parameters:

• step (integer) – the current step number
• maxStep (integer) – the total number of steps

Return type:

a value indicating whether the progress has been stopped (tlp.TLP_STOP), cancelled (tlp.TLP_CANCEL), or will continue (tlp.TLP_CONTINUE).

setComment(msg)

Changes the comment about the process progression.

Parameters:msg (string) – A description of what the process is currently doing, displayed to inform the user.

setError(errorMsg)

Sets the message describing the error encountered during the process.

Parameters:errorMsg (string) – the error message to set

setPreviewMode(preview)

Enables / disables the preview mode. The preview mode redraws the graph while applying the algorithm, making it slower.

Parameters:preview (boolean) – indicates if the preview mode should be activated

showPreview(showPreview)

This tells the widget associated to this PluginProgress if it should show a preview checkbox, allowing the user to decide if the algorithm should draw a preview or not.

Parameters:showPreview (boolean) – whether the progress widget should contain a preview checkbox or not.

state()

Gets the current internal state of the PluginProgress.

Return type:a value indicating whether the progress has been stopped (tlp.TLP_STOP), cancelled (tlp.TLP_CANCEL), or will continue (tlp.TLP_CONTINUE).

stop()

Sets the state flag to stop, notifying to the process that the user wants to stop it. Stopping a process does not revert changes.

Tulip observation mechanism

tlp.Event

class tlp.Event

This class is the base one for representing an event in Tulip. Events are objects sent by objects whose classes derives from the tlp.Observable one. An event is characterized by its type. The base tlp.Event class only carries information as to the type of event, nothing specific :

• tlp.Event.TLP_DELETE : send directly to all observers/listeners, not affected by tlp.Observable.holdObservers().
• tlp.Event.TLP_MODIFICATION : sent to all observers/listeners. That type of event is first sent to observers then to listeners.
• tlp.Event.TLP_INFORMATION : sent only to listeners.
• tlp.Event.TLP_INVALID : never sent, used internally for delaying events.

Implement a class derived from tlp.Event to add custom events. Here is a sample code below:

class MyEvent(tlp.Event):

  # sender must be an instance deriving from tlp.Observable
  def __init__(self, sender, data):
    tlp.Event.__init__(self, sender, tlp.Event.TLP_MODIFICATION)
    self.data = data

  def getData(self):
    return self.data

sender()

Returns the object that sent the event.

Return type:tlp.Observable or one of its derived type.

type()

Returns the type of the event.

Return type:tlp.Event.TLP_DELETE or tlp.Event.TLP_MODIFICATION or tlp.Event.TLP_INFORMATION or tlp.Event.TLP_INVALID

tlp.GraphEvent

class tlp.GraphEvent

That class represents an event that happened on a tlp.Graph instance. To get the graph that sent the event, use the tlp.GraphEvent.getGraph(). The type of graph event can be retrieved through the tlp.GraphEvent.getType() method. Below is an exhaustive list of those types :

• tlp.GraphEvent.TLP_ADD_NODE : a node has been added in the graph (use tlp.GraphEvent.getNode() to get the concerned node)
• tlp.GraphEvent.TLP_DEL_NODE : a node has been deleted in the graph (use tlp.GraphEvent.getNode() to get the concerned node)
• tlp.GraphEvent.TLP_ADD_EDGE : an edge has been added in the graph (use tlp.GraphEvent.getEdge() to get the concerned edge)
• tlp.GraphEvent.TLP_DEL_EDGE : an edge has been deleted in the graph (use tlp.GraphEvent.getEdge() to get the concerned edge)
• tlp.GraphEvent.TLP_REVERSE_EDGE : the direction of an edge has been reversed in the graph (use tlp.GraphEvent.getEdge() to get the concerned edge)
• tlp.GraphEvent.TLP_BEFORE_SET_ENDS : the extremities of an edge is about to be modified (use tlp.GraphEvent.getEdge() to get the concerned edge)
• tlp.GraphEvent.TLP_AFTER_SET_ENDS : the extremities of an edge have been modified (use tlp.GraphEvent.getEdge() to get the concerned edge)
• tlp.GraphEvent.TLP_ADD_NODES : several nodes have been added in the graph (use tlp.GraphEvent.getNodes() to get the list of concerned nodes)
• tlp.GraphEvent.TLP_ADD_EDGES : several edges have been added in the graph (use tlp.GraphEvent.getEdges() to get the list of concerned edges)
• tlp.GraphEvent.TLP_BEFORE_ADD_DESCENDANTGRAPH : a descendant graph (i.e. not necessarily a direct sub-graph) is about to be added in the sub-graphs hierarchy. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_AFTER_ADD_DESCENDANTGRAPH : a descendant graph (i.e. not necessarily a direct sub-graph) has been added in the sub-graphs hierarchy. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_BEFORE_DEL_DESCENDANTGRAPH : a descendant graph (i.e. not necessarily a direct sub-graph) is about to be removed in the sub-graphs hierarchy. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_AFTER_DEL_DESCENDANTGRAPH : a descendant graph (i.e. not necessarily a direct sub-graph) has been removed in the sub-graphs hierarchy. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_BEFORE_ADD_SUBGRAPH : a sub-graph is about to be added in the graph. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_AFTER_ADD_SUBGRAPH : a sub-graph has been added in the graph. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_BEFORE_DEL_SUBGRAPH : a sub-graph is about to be removed in the graph. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_AFTER_DEL_SUBGRAPH : a sub-graph has been removed in the graph. Use tlp.GraphEvent.getSubGraph() to get it.
• tlp.GraphEvent.TLP_BEFORE_ADD_LOCAL_PROPERTY : a local property is about to be added in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_ADD_LOCAL_PROPERTY : a local property has been added in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_BEFORE_DEL_LOCAL_PROPERTY : a local property is about to be deleted in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_AFTER_DEL_LOCAL_PROPERTY : a local property has been deleted in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_BEFORE_ADD_INHERITED_PROPERTY : an inherited property (not attached to the graph itself but one of its parent) is about to be added in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_ADD_INHERITED_PROPERTY : an inherited property (not attached to the graph itself but one of its parent) has been added in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_BEFORE_DEL_INHERITED_PROPERTY : an inherited property (not attached to the graph itself but one of its parent) is about to be deleted in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_AFTER_DEL_INHERITED_PROPERTY : an inherited property (not attached to the graph itself but one of its parent) has been deleted in the graph. Use tlp.GraphEvent.getPropertyName() to get the name of the concerned property.
• tlp.GraphEvent.TLP_BEFORE_SET_ATTRIBUTE : an attribute of the graph is about to be set/modified. Use tlp.GraphEvent.getAttributeName() to get the name of the concerned attribute.
• tlp.GraphEvent.TLP_AFTER_SET_ATTRIBUTE : an attribute of the graph has been set/modified. Use tlp.GraphEvent.getAttributeName() to get the name of the concerned attribute.
• tlp.GraphEvent.TLP_REMOVE_ATTRIBUTE : an attribute of the graph has been removed. Use tlp.GraphEvent.getAttributeName() to get the name of the concerned attribute.

getAttributeName()

Returns the name of the attribute concerned by the event (if any, otherwise returns an empty string)

Return type:string

getEdge()

Returns the edge concerned by the event (if any, otherwise return an invalid edge)

Return type:tlp.edge

getEdges()

Returns the edges concerned by the event (if any, otherwise return an empty list)

Return type:list of tlp.edge

getGraph()

Returns the graph that sent the event.

Return type:tlp.Graph

getNode()

Returns the node concerned by the event (if any, otherwise return an invalid node)

Return type:tlp.node

getNodes()

Returns the nodes concerned by the event (if any, otherwise return an empty list)

Return type:list of tlp.node

getPropertyName()

Return type:string

getSubGraph()

Returns the sub-graph or descendant graph concerned by the event (if any, return None otherwise)

Return type:tlp.Graph

getType()

Return type:tlp.GraphEvent.TLP_* (cf. class description above)

tlp.PropertyEvent

class tlp.PropertyEvent

That class represents an event that happened on a tlp.PropertyInterface derived instance. To get the property that sent the event, use the tlp.PropertyEvent.getProperty(). The type of property event can be retrieved through the tlp.PropertyEvent.getType() method. Below is an exhaustive list of those types :

• tlp.PropertyEvent.TLP_BEFORE_SET_NODE_VALUE : the value of a node is about to be modified. Use tlp.PropertyEvent.getNode() to get the concerned node.
• tlp.PropertyEvent.TLP_AFTER_SET_NODE_VALUE : the value of a node has been modified. Use tlp.PropertyEvent.getNode() to get the concerned node.
• tlp.PropertyEvent.TLP_BEFORE_SET_EDGE_VALUE : the value of an edge is about to be modified. Use tlp.PropertyEvent.getEdge() to get the concerned edge.
• tlp.PropertyEvent.TLP_AFTER_SET_EDGE_VALUE : the value of an edge has been modified. Use tlp.PropertyEvent.getEdge() to get the concerned edge.
• tlp.PropertyEvent.TLP_BEFORE_SET_ALL_NODE_VALUE : the value of all nodes is about to be modified.
• tlp.PropertyEvent.TLP_AFTER_SET_ALL_NODE_VALUE : the value of all nodes has been modified.
• tlp.PropertyEvent.TLP_BEFORE_SET_ALL_EDGE_VALUE : the value of all edges is about to be modified.
• tlp.PropertyEvent.TLP_AFTER_SET_ALL_EDGE_VALUE : the value of all edges has been modified.

getEdge()

Returns the edge concerned by the event (if any, otherwise return an invalid edge)

Return type:tlp.edge

getNode()

Returns the node concerned by the event (if any, otherwise return an invalid node)

Return type:tlp.node

getProperty()

Returns the property concerned by the event.

Return type:derived instances of tlp.PropertyInterface

getType()

Return type:tlp.GraphEvent.TLP_* (cf. class description above)

tlp.Observable

class tlp.Observable

The tlp.Observable class is the base of Tulip’s observation system.

Each class that wishes to send or receive notifications needs to inherit from tlp.Observable.

Tulip has two separate mechanisms of observation : Observers and Listeners. These two mechanisms work through the same class, the difference lies in the way an Observer or Listener is attached to the object whose events it will receive.

The Listener is closer to the original pattern, where events are sent directly to the recipient. The Observer is a twist for performance purposes, it can receive the events in a delayed fashion, and cannot know if the event was just sent or was delayed.

The purpose of this twist is to allow algorithms that perform a high number of modifications (e.g. creating a grid to route edges, creating multiple subgraphs with metrics or layouts) to run smoothly without overcrowding the event queue. As events are sent for every graph modification (e.g. adding a node, deleting a node, setting a value on a node), the sheer quantity of events sent by these algortithms would cause a big performance hit.

This is avoided by using the static method tlp.Observable.holdObservers(). This holds all events in a queue and only sends them when the static method tlp.Observable.unholdObservers() is called.

The only exception to this mechanism is the tlp.Event.TLP_DELETE kind of event, that is never held back. Think of it as an unmaskable POSIX signal; whatever the connection to the object and the state of holdObserver, this event will get through. This is used to prevent crashes in the case where and object is listened or observed and is deleted, as it is likely the recipient keeps a pointer to the now deleted object.

The Listener however is not affected by the use of tlp.Observable.holdObservers() and tlp.Observable.unholdObservers().

The observables Observers and Listeners are internally stocked in a graph structure, allowing to visualize the connections easily. This eases debugging of observation-related bugs.

Events are always sent to Listeners first, and then to Observers, even when there is no hold.

To receive events, inherit from tlp.Observable, and implement one of two virtual functions.

To received events without delay, implement method tlp.Observable.treatEvent(). To attach to an object for receiving events, call its tlp.Observable.addListener() method.

To receive events after a delay, implement method tlp.Observable.treatEvents. To attach to an object for receiving events, call its tlp.Observable.addObserver() method.

addListener(listener)

Adds a Listener to this object. The Listener will receive events regardless of the state of tlp.Observable.holdObservers() and tlp.Observable.unholdObservers().

Parameters:listener (tlp.Observable) – The object that will receive events.

addObserver(observer)

Adds an Observer to this object. The Observer will receive events sent by this object, if there is no hold applied.

Parameters:observer (tlp.Observable) – The object that will receive events.

countListeners()

Gets the number of Listeners attached to this object.

Return type:integer

countObservers()

Gets the number of Observers attached to this object.

Return type:integer

getReceived()

Gets the number of received events.

Return type:integer

getSent()

Gets the number of sent events.

Return type:integer

hasOnlookers()

Returns whether there are Observers/Listeners attached to this object.

Return type:boolean

holdObservers()

Holds back all events until tlp.Observable.unholObservers() is called. Listeners are not affected by this function. Once this function is called, all events heading to an Observer will be held, except tlp.Event.TLP_DELETE events. The events are stored in a queue, and will be sent once tlp.Observable.unholObservers() is called. It is possible to nest calls to tlp.Observable.holObservers() and tlp.Observable.unholObservers(), and in this case the events will only be sent when there have been as many calls to tlp.Observable.unholObservers() as to tlp.Observable.holObservers(). It is possible to check whether the events are being help by checking the tlp.Observable.observersHoldCounter() function.

observersHoldCounter()

Static method to get the number of times tlp.Observable.holdObservers() has been called without a matching tlp.Observable.unholdObservers() call.

Return type:integer

removeListener(listener)

Removes a Listener from this object. The Listener will no longer receive events from this object.

Parameters:listener (tlp.Observable) – The Listener to remove from this object.

removeObserver(observer)

Removes an Observer from this object. The Observer will no longer receive events from this object.

Parameters:observer (tlp.Observable) – The Observer to remove from this object.

sendEvent(event)

Sends an event to all the Observers/Listeners.

Parameters:event (tlp.Event) – the event to send to the Listeners/Observers.

treatEvent(event)

This function is called when events are sent to the Listeners, and Listeners only. Is it passed a reference to the event that just happened. Implement that method to catch events with custom types (like for instance tlp.GraphEvent or tlp.PropertyEvent)

Parameters:event (tlp.Event or types deriving from it) – The event that was sent.

treatEvents(events)

This function is called when events are sent to Observers, and Observers only.

It is passed a list of all the events that happened since the last call. If events were on hold, this vector can be pretty large, and if events were not on hold it is likely it only contains a single element. It is important to note that custom events can not be catched with that method. Only instances of base tlp.Event type are stored in the list. Moreover when unholding events through a call to tlp.Observable.unholdObservers(), if several events were sent from the same object, only one instance of tlp.Event will be stored in the list for that sender.

Parameters:events (list of tlp.Event) – The events that happened since the last tlp.Observable.unholdObservers() call.

unholdObservers()

Static method to send all held events to the Observers.

Listeners are not affected by this function.

Graph properties classes

tlp.PropertyInterface

class tlp.PropertyInterface

erase(node)

Removes the value stored for the node given in parameter. The new value for the node is the default one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

getEdgeDefaultStringValue()

Returns a string representation of the edge default value.

Return type:string

getEdgeStringValue(edge)

Returns a string conversion of the value registered for the given edge.

Parameters:edge (tlp.edge) – an existing edge Return type:string Throws :an exception if the edge does not belong to the graph attached to the property

getGraph()

Returns the graph on which the property has been defined.

Return type:tlp.Graph

Warning

If the property is inherited the graph could be different that the one used to get that property.

getName()

Returns the name of the property.

Return type:string

getNodeDefaultStringValue()

Returns a string representation of the node default value.

Return type:string

getNodeStringValue(node)

Returns a string conversion of the value registered for the given node.

Parameters:node (tlp.node) – an existing node Return type:string Throws :an exception if the node does not belong to the graph attached to the property

getNonDefaultValuatedEdges([subgraph = None])

Returns an iterator on all edges whose value is different from the default value.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter. In that case, only the edges owned by this sub-graph are returned by the iterator. Return type:tlp.IteratorEdge

getNonDefaultValuatedNodes([subgraph = None])

Returns an iterator on all nodes whose value is different from the default value.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter. In that case, only the nodes owned by this sub-graph are returned by the iterator. Return type:tlp.IteratorNode

getTypename()

Returns a string describing the type of the property, i.e. “graph”, “double”, “layout”, “string”, “integer”, “color”, “size”, ...

Return type:string

setAllEdgeStringValue(str)

Clears all edges registered values, and sets a new edge default value in converting the given string representation of a value. Returns True if the given string representation has been successfully converted to a value, False otherwise.

Parameters:str (string) – a string representation of a value Return type:boolean

setAllNodeStringValue(str)

Clears all nodes registered values, and sets a new node default value in converting the given string representation of a value. Returns True if the given string representation has been successfully converted to a value, False otherwise.

Parameters:str (string) – a string representation of a value Return type:boolean

setEdgeStringValue(edge, str)

Registers a new value for the given edge in converting the given string representation. Returns True if the given string representation has been successfully converted to a value, False otherwise.

Parameters:

• edge (tlp.edge) – an existing edge
• str (string) – a string representation of a value

Return type:

boolean

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeStringValue(node, str)

Registers a new value for the given node in converting the given string representation. Returns True if the given string representation has been successfully converted to a value, False otherwise.

Parameters:

• node (tlp.node) – an existing node
• str (string) – a string representation of a value

Return type:

boolean

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.BooleanProperty

class tlp.BooleanProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.BooleanProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.BooleanProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.BooleanProperty) – the property to copy

getNodesEqualTo(val[, graph = None])

Returns an iterator through all nodes belonging to the attached graph whose associated value is equal to the one given in parameter.

Parameters:

• val (boolean) – a value
• graph (tlp.Graph) – a sub-graph can be given in parameter, in that case returns an iterator on nodes only belonging to that sub-graph

Return type:

tlp.IteratorNode

getEdgesEqualTo(val[, graph = None])

Returns an iterator through all edges belonging to the attached graph whose associated value is equal to the one given in parameter.

Parameters:

• val (boolean) – a value
• graph (tlp.Graph) – a sub-graph can be given in parameter, in that case returns an iterator on edges only belonging to that sub-graph

Return type:

tlp.IteratorEdge

reverse()

Reverses all values associated to graph elements, i.e True => False, False => True .

reverseEdgeDirection()

Reverses all the direction of edges in the attached graph which are set to True in this boolean property.

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:boolean

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:boolean Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:boolean

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:boolean Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (boolean) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (boolean) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (boolean) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (boolean) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.ColorProperty

class tlp.ColorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.ColorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.ColorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.ColorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:tlp.Color

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:tlp.Color Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:tlp.Color

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:tlp.Color Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (tlp.Color) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (tlp.Color) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (tlp.Color) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Color) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.DoubleProperty

class tlp.DoubleProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.DoubleProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.DoubleProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.DoubleProperty) – the property to copy

getNodeMin([subgraph = None])

Returns the minimum value on the nodes for that double property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum value on the nodes belonging to that sub-graph. Return type:float

getNodeMax([subgraph = None])

Returns the maximum value on the nodes for that double property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum value on the nodes belonging to that sub-graph. Return type:float

getEdgeMin([subgraph = None])

Returns the minimum value on the edges for that double property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum value on the edges belonging to that sub-graph. Return type:float

getEdgeMax([subgraph = None])

Returns the maximum value on the edges for that double property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum value on the edges belonging to that sub-graph. Return type:float

uniformQuantification(n)

Performs an uniform quantification on nodes and edges based on the values stored in that double property. An uniform quantification tries to separate the nodes and edges in n classes of equivalent size according to theirs values in increasing order.

Parameters:n (integer) – the number of desired classes

Warning

All previous values on nodes and edges will be erased and replaced by the id of the class they belong to.

nodesUniformQuantification(n)

Performs an uniform quantification on nodes based on the values stored in that double property. An uniform quantification tries to separate the nodes in n classes of equivalent size according to theirs values in increasing order.

Parameters:n (integer) – the number of desired classes

Warning

All previous values on nodes will be erased and replaced by the id of the class they belong to.

edgesUniformQuantification(n)

Performs an uniform quantification on edges based on the values stored in that double property. An uniform quantification tries to separate the edges in n classes of equivalent size according to theirs values in increasing order.

Parameters:n (integer) – the number of desired classes

Warning

All previous values on edges will be erased and replaced by the id of the class they belong to.

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:float

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:float Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:float

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:float Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (float) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (float) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (float) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (float) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.IntegerProperty

class tlp.IntegerProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.IntegerProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.IntegerProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.IntegerProperty) – the property to copy

getNodeMin([subgraph = None])

Returns the minimum value on the nodes for that integer property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum value on the nodes belonging to that sub-graph. Return type:integer

getNodeMax([subgraph = None])

Returns the maximum value on the nodes for that integer property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum value on the nodes belonging to that sub-graph. Return type:integer

getEdgeMin([subgraph = None])

Returns the minimum value on the edges for that integer property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum value on the edges belonging to that sub-graph. Return type:integer

getEdgeMax([subgraph = None])

Returns the maximum value on the edges for that integer property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum value on the edges belonging to that sub-graph. Return type:integer

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:integer

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:integer Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:integer

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:integer Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (integer) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (integer) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (integer) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (integer) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.LayoutProperty

class tlp.LayoutProperty

Bases: tlp.PropertyInterface

angularResolutions(node[, subgraph=None])

Returns a list of all angular resolution of a node. It is only defined for 2D drawing, meaning the third coordinates is omitted

Parameters:

• node (tlp.node) – an existing node
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case returns the list of angular resolution for the node in that sub-graph

Return type:

list of float

Throws :

an exception if the node does not belong to the graph attached to the property or if the provided sub-graph is not a descendant of the graph attached to the property

averageAngularResolution([subgraph = None])

Returns the average angular resolution of the layout. It is only defined for 2D drawing, meaning the third coordinate is omitted

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case computes the average angular resolution for the layout of the nodes belonging to that sub-graph. Return type:float Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

averageAngularResolution(node[, subgraph = None])

Returns the average angular resolution of a node. It is only defined for 2D drawing, meaning the third coordinate is omitted

Parameters:

• node (tlp.node) – an existing node
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case computes the average angular resolution of a node in that sub-graph.

Return type:

float

Throws :

an exception if the node does not belong to the graph attached to the property or if the provided sub-graph is not a descendant of the graph attached to the property

averageEdgeLength([subgraph=None])

New in version 3.7.

Returns the average edge length of the layout, the bends are taken into account.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case only computes the average edge length for that sub-graph. Return type:float Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

center([subgraph = None])

Centers the layout, meaning translating it in order that the center of its bounding box is (0,0,0)

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case only centers the layout of that sub-graph. Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

center(newCenter[, subgraph = None])

New in version 3.7.

Centers the layout to newCenter, meaning translating it in order that the center of its bounding box is equal to newCenter.

Parameters:

• newCenter (tlp.Vec3f) – the new center of the layout
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case only centers the layout of that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

computeEmbedding([subgraph=None])

Fixes embedding of the graph according to the layout, ie. sort edges around nodes according to their neighbors/bends position in the layout. Only works in 2D, the third coordinate is not taken into account.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case fixes embedding of that sub-graph Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

computeEmbedding(node[, subgraph=None])

Fixes embedding of the node according to the layout, ie. sort edges around the node according to their neighbors/bends position in the layout. Only works in 2D, the third coordinate is not taken into account.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case fixes embedding of the node in that sub-graph Throws :an exception if the node does not belong to the graph attached to the property or if the provided sub-graph is not a descendant of the graph attached to the property

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.LayoutProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.LayoutProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.LayoutProperty) – the property to copy

edgeLength(edge)

Returns the length of an edge, the bends are taken into account. Thus, it measures the length of a polyline.

Parameters:edge (tlp.edge) – an existing edge Return type:float Throws :an exception if the edge does not belong to the graph attached to the property

Warning

This function only measures the length of the polyline between bends, when using curves like Bezier etc... the result will not be the length of the curve.

getMin([subgraph = None])

Returns the minimum coordinate in that layout property, i.e. the bottom-left corner of the graph drawing bounding box.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum coordinate of the sub-graph layout. Return type:tlp.Coord Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

getMax([subgraph = None])

Returns the maximum coordinate in that layout property, i.e. the top-right corner of the graph drawing bounding box.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum coordinate of the sub-graph layout. Return type:tlp.Coord Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

normalize([subgraph = None])

Normalizes the layout, meaning dividing each nodes and edges coordinate by the maximum magnitude of the whole coordinates set

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case only normalizes the layout of that sub-graph. Throws :an exception if the provided sub-graph is not a descendant of the graph attached to the property

perfectAspectRatio()

Scales the layout in order to approach an aspect ratio (width / height) of 1.0 .

rotateX(alpha[, subgraph = None])

New in version 3.7.

Rotates the layout around the X-axis according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case rotates the layout of the nodes belonging to that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

rotateX(alpha, itNodes, itEdges)

Rotates the layout around the X-axis of the nodes and edges provided through iterators according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

rotateY(alpha[, subgraph = None])

New in version 3.7.

Rotates the layout around the Y-axis according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case rotates the layout of the nodes belonging to that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

rotateY(alpha, itNodes, itEdges)

Rotates the layout around the Y-axis of the nodes and edges provided through iterators according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

rotateZ(alpha[, subgraph = None])

Rotates the layout around the Z-axis according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case rotates the layout of the nodes belonging to that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

rotateZ(alpha, itNodes, itEdges)

Rotates the layout around the Z-axis of the nodes and edges provided through iterators according to an angle in degrees.

Parameters:

• alpha (float) – an angle in degrees
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

scale(scaleFactors[, subgraph = None])

Scales the layout according to a vector of scale factors (sx, sy, sz).

Parameters:

• move (tlp.Vec3f) – a vector of scale factors
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case scales the layout of the nodes belonging to that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

scale(scaleFactors, itNodes, itEdges)

Scales the layout of the nodes and edges provided through iterators according to a vector of scale factors (sx, sy, sz).

Parameters:

• move (tlp.Vec3f) – a vector of scale factors
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

translate(move[, subgraph = None])

Translates the current layout according to a movement vector.

Parameters:

• move (tlp.Vec3f) – a movement vector
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case translates the layout of the nodes belonging to that sub-graph.

Throws :

an exception if the provided sub-graph is not a descendant of the graph attached to the property

translate(move, itNodes, itEdges)

Translates the layout of a set of nodes and edges provided through iterators according to a movement vector.

Parameters:

• move (tlp.Vec3f) – a movement vector
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:list of tlp.Coord

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of tlp.Coord Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:tlp.Coord

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:tlp.Coord Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (list of tlp.Coord) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (tlp.Coord) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of tlp.Coord) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Coord) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.SizeProperty

class tlp.SizeProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.SizeProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.SizeProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.SizeProperty) – the property to copy

getMin([subgraph = None])

Returns the minimum value on the nodes for that size property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the minimum value on the nodes belonging to that sub-graph. Return type:tlp.Size

getMax([subgraph = None])

Returns the maximum value on the nodes for that size property.

Parameters:subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case return the maximum value on the nodes belonging to that sub-graph. Return type:tlp.Size

scale(scaleFactors[, subgraph = None])

Scales the sizes of the nodes and edges according to a scale factors vector (sx, sy, sz).

Parameters:

• scaleFactors (tlp.Size) – a vector of scales factor
• subgraph (tlp.Graph) – a sub-graph can be given in parameter, in that case scales the size of the nodes belonging to that sub-graph.

scale(scaleFactors, itNodes, itEdges)

Scales the sizes of the nodes and edges provided through iterators according to a scale factors vector (sx, sy, sz).

Parameters:

• scaleFactors (tlp.Size) – a vector of scale factors
• itNodes (tlp.IteratorNode) – an iterator on graph nodes
• itEdges (tlp.IteratorEdge) – an iterator on graph edges

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:tlp.Size

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:tlp.Size Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:tlp.Size

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:tlp.Size Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (tlp.Size) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (tlp.Size) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (tlp.Size) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Size) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.StringProperty

class tlp.StringProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.StringProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.StringProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.StringProperty) – the property to copy

getEdgeDefaultValue()

Returns the default value associated to the edges.

Return type:string

getEdgeValue(edge)

Returns the value associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:string Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default value associated to the nodes.

Return type:string

getNodeValue(node)

Returns the value associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:string Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same value on the whole set of edges.

Parameters:val (string) – the value to set on the edges.

setAllNodeValue(val)

Sets the same value on the whole set of nodes.

Parameters:val (string) – the value to set on the nodes.

setEdgeValue(edge, val)

Sets the value of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (string) – the value to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the value of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (string) – the value to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.BooleanVectorProperty

class tlp.BooleanVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.BooleanVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.BooleanVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.BooleanVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of boolean

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of boolean Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of boolean

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of boolean Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of boolean) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of boolean) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of boolean) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of boolean) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

boolean

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (boolean) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (boolean) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (boolean) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

boolean

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (boolean) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (boolean) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (boolean) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.CoordVectorProperty

class tlp.CoordVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.CoordVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.CoordVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.CoordVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of tlp.Coord

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of tlp.Coord Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of tlp.Coord

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of tlp.Coord Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of tlp.Coord) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of tlp.Coord) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of tlp.Coord) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of tlp.Coord) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

tlp.Coord

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (tlp.Coord) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Coord) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (tlp.Coord) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

tlp.Coord

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (tlp.Coord) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (tlp.Coord) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (tlp.Coord) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.ColorVectorProperty

class tlp.ColorVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.ColorVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.ColorVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.ColorVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of tlp.Color

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of tlp.Color Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of tlp.Color

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of tlp.Color Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of tlp.Color) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of tlp.Color) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of tlp.Color) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of tlp.Color) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

tlp.Color

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (tlp.Color) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Color) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (tlp.Color) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

tlp.Color

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (tlp.Color) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (tlp.Color) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (tlp.Color) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.DoubleVectorProperty

class tlp.DoubleVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.DoubleVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.DoubleVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.DoubleVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of float

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of float Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of float

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of float Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of float) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of float) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of float) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of float) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

float

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (float) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (float) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (float) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

float

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (float) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (float) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (float) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.IntegerVectorProperty

class tlp.IntegerVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.IntegerVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.IntegerVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.IntegerVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of integer

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of integer Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of integer

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of integer Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of integer) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of integer) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of integer) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of integer) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

integer

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (integer) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (integer) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (integer) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

integer

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (integer) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (integer) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (integer) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.SizeVectorProperty

class tlp.SizeVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.SizeVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.SizeVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.SizeVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of tlp.Size

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of tlp.Size Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of tlp.Size

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of tlp.Size Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of tlp.Size) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of tlp.Size) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of tlp.Size) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of tlp.Size) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

tlp.Size

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (tlp.Size) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (tlp.Size) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (tlp.Size) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

tlp.Size

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (tlp.Size) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (tlp.Size) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (tlp.Size) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

tlp.StringVectorProperty

class tlp.StringVectorProperty

Bases: tlp.PropertyInterface

copy(nodeDst, nodeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on a node to another node on this property.

Parameters:

• nodeDst (tlp.node) – the node to copy the value to.
• nodeSrc (tlp.node) – the node to copy the value from.
• prop (tlp.StringVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(edgeDst, edgeSrc, prop[, ifNotDefault=False])

New in version 3.8.

Copies the value hold by a property on an edge to another edge on this property.

Parameters:

• edgeDst (tlp.edge) – the node to copy the value to.
• edgeSrc (tlp.edge) – the node to copy the value from.
• prop (tlp.StringVectorProperty) – the property holding the value to copy.
• ifNotDefault (boolean) – whether to ignore default-valuated nodes or not. Defaults to False.

copy(prop)

New in version 3.8.

Copies the values hold by a property on this property.

Parameters:prop (tlp.StringVectorProperty) – the property to copy

getEdgeDefaultValue()

Returns the default list of values associated to the edges.

Return type:list of string

getEdgeValue(edge)

Returns the list of values associated to a particular edge.

Parameters:edge (tlp.edge) – an existing edge Return type:list of string Throws :an exception if the edge does not belong to the graph attached to the property

getNodeDefaultValue()

Returns the default list of values associated to the nodes.

Return type:list of string

getNodeValue(node)

Returns the list of values associated to a particular node.

Parameters:node (tlp.node) – an existing node Return type:list of string Throws :an exception if the node does not belong to the graph attached to the property

setAllEdgeValue(val)

Sets the same list of values on the whole set of edges.

Parameters:val (list of string) – the list of values to set on the edges

setAllNodeValue(val)

Sets the same list of values on the whole set of nodes.

Parameters:val (list of string) – the list of values to set on the nodes

setEdgeValue(edge, val)

Sets the list of values of a particular edge.

Parameters:

• edge (tlp.edge) – an existing edge
• val (list of string) – the list of values to set on the edge

Throws :

an exception if the edge does not belong to the graph attached to the property

setNodeValue(node, val)

Sets the list of values of a particular node.

Parameters:

• node (tlp.node) – an existing node
• val (list of string) – the list of values to set on the node

Throws :

an exception if the node does not belong to the graph attached to the property

getNodeEltValue(node, index)

Returns the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list

Return type:

string

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

setNodeEltValue(node, index, val)

Sets the value in the list attached to a particular node at the given index.

Parameters:

• node (tlp.node) – an existing node
• index (integer) – the index in the list
• val (string) – the value to set in the list

Throws :

an exception if the node does not belong to the graph attached to the property or if the list attached to the node has a size smaller than the given index.

pushBackNodeEltValue(node, val)

Inserts a value at the end of the list attached to a particular node. The size of the list is incremented by one.

Parameters:

• node (tlp.node) – an existing node
• val (string) – the value to add in the list

Throws :

an exception if the node does not belong to the graph attached to the property

popBackNodeEltValue(node)

Removes the value at the end of the list (if not empty) attached to a particular node. The size of the list is decremented by one.

Parameters:node (tlp.node) – an existing node Throws :an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size)

Resizes the list attached to a particular node. A default value will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list

Throws :

an exception if the node does not belong to the graph attached to the property

resizeNodeValue(node, size, val)

Resizes the list attached to a particular node. The value given in paramater will be assigned to new elements (if any).

Parameters:

• node (tlp.node) – an existing node
• size (integer) – the new size of the list
• val (string) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

getEdgeEltValue(edge, index)

Returns the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list

Return type:

string

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

setEdgeEltValue(edge, index, val)

Sets the value in the list attached to a particular edge at the given index.

Parameters:

• edge (tlp.edge) – an existing edge
• index (integer) – the index in the list
• val (string) – the value to set in the list

Throws :

an exception if the edge does not belong to the graph attached to the property or if the list attached to the edge has a size smaller than the given index.

pushBackEdgeEltValue(edge, val)

Inserts a value at the end of the list attached to a particular edge. The size of the list is incremented by one.

Parameters:

• edge (tlp.edge) – an existing edge
• val (string) – the value to add in the list

Throws :

an exception if the edge does not belong to the graph attached to the property

popBackEdgeEltValue(edge)

Removes the value at the end of the list (if not empty) attached to a particular edge. The size of the list is decremented by one.

Parameters:edge (tlp.edge) – an existing edge Throws :an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size)

Resizes the list attached to a particular edge. A default value will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list

Throws :

an exception if the edge does not belong to the graph attached to the property

resizeEdgeValue(edge, size, val)

Resizes the list attached to a particular edge. The value given in paramater will be assigned to new elements (if any).

Parameters:

• edge (tlp.edge) – an existing edge
• size (integer) – the new size of the list
• val (string) – the value to assign on new elements in the list

Throws :

an exception if the node does not belong to the graph attached to the property

Tulip plugins classes

tlp.WithParameter

class tlp.WithParameter

This class describes parameters for a plug-in. These parameters can be of multiple types, and are used to generate a GUI that will be shown when the plug-in in invoked by the user.

addBooleanParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a boolean parameter to the plug-in.

Parameters:

• name (string) – the name of the boolean parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (“true” or “false”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addBooleanPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.BooleanProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.BooleanProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addBooleanVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.BooleanVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.BooleanVectorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addColorParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.Color parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.Color parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “(R, G, B, A)”, e.g. for red : “(255,0,0,255)”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addColorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.ColorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.ColorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addColorScaleParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.ColorScale parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.ColorScale parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “((R, G, B, A), ..., (R, G, B, A))”, e.g. gradient from black to white : “((0,0,0,255), (255,255,255,255))”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addColorVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.ColorVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.ColorVectorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addCoordVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.CoorVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.LayoutProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addDoublePropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.DoubleProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.DoubleProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addDoubleVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.DoubleVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.DoubleVectorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addFloatParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a floating point number parameter to the plug-in.

Parameters:

• name (string) – the name of the floating point number parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “[0-9]*[.][0-9]+”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addIntegerParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds an integer parameter to the plug-in.

Parameters:

• name (string) – the name of the integer parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “[0-9]+”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addIntegerPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.IntegerProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.IntegerProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addIntegerVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.IntegerVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.IntegerProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addLayoutPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.LayoutProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.LayoutProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.PropertyInterface parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.PropertyInterface parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addSizePropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.SizeProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.SizeProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addSizeVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.SizeVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.SizeVectorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addStringCollectionParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.StringCollection parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.StringCollection parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “entry1;entry2;...;entryN”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addStringParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a string parameter to the plug-in.

Parameters:

• name (string) – the name of the string parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addStringPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

Adds a tlp.StringProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.StringProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

addStringVectorPropertyParameter(name[, help = "", defaultValue = "", isMandatory = True, inParam = True, outParam = False])

New in version 4.2.

Adds a tlp.StringVectorProperty parameter to the plug-in.

Parameters:

• name (string) – the name of the tlp.StringVectorProperty parameter to add
• help (string) – a description of the parameter, that will be displayed to the user
• defaultValue (string) – the default value (in the form “<property_name>”) the parameter should take, to be the initial value in the GUI
• isMandatory (boolean) – specify whether this parameter requires a value or not
• inParam (boolean) – defines if the parameter is an input one (can be read by the plugin)
• outParam (boolean) – defines if the parameter is an output one (can be written by the plugin and retrieved after its execution)

tlp.Plugin

class tlp.Plugin

Bases: tlp.WithParameter

This is the base class for all Tulip plugins.

author()

Returns the author of the plugin.

Return type:string

category()

Returns the category of the plugin.

Return type:string

date()

Returns the creation date of the plugin.

Return type:string

group()

Returns the group of the plugin.

Return type:string

info()

Returns some information about the plugin.

Return type:string

name()

Returns the name of the plugin.

Return type:string

release()

Returns the release number of the plugin.

Return type:string

tulipRelease()

Returns the Tulip release number.

Return type:string

tlp.Algorithm

class tlp.Algorithm

Bases: tlp.Plugin

This abstract class describes a general algorithm plugin. Basic functionality consists in checking the algorithm can run on the current Graph (e.g. is the graph simple ?) then running the algorithm. The algorithm can and should report progress and which task it is performing if it is decomposed in multiple phases (e.g. layouting the graph, coloring it, ...).

class attributes

graph

The tlp.Graph this algorithm will be run on.

dataSet

A tlp.DataSet containing parameters for this algorithm, if any.

pluginProgress

A tlp.PluginProgress to give feedback to the user. It can be None, so use with caution.

class methods

check()

This method is called before applying the algorithm on the input graph. You can perform some precondition checks here. Derived classes can reimplement it. Must return a tuple whose first member indicates if the algorithm can be applied and the second one can be used to provide an error message

Return type:(boolean, string)

run()

This method is the entry point of the algorithm when it is called. Derived classes must implement it. It is a good practice to report progress through the PluginProgress. The PluginProgress should also be used to report errors, if any. A boolean must also be returned to indicate if the algorithm was successful.

Return type:boolean

tlp.BooleanAlgorithm

class tlp.BooleanAlgorithm

Bases: tlp.Algorithm

This class is the base interface for selection plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.BooleanProperty.

tlp.ColorAlgorithm

class tlp.ColorAlgorithm

Bases: tlp.Algorithm

This class is the base interface for color plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.ColorProperty.

tlp.DoubleAlgorithm

class tlp.DoubleAlgorithm

Bases: tlp.Algorithm

This class is the base interface for metric plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.DoubleProperty.

tlp.IntegerAlgorithm

class tlp.IntegerAlgorithm

Bases: tlp.IntegerAlgorithm

This class is the base interface for integer plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.IntegerProperty.

tlp.LayoutAlgorithm

class tlp.LayoutAlgorithm

Bases: tlp.Algorithm

This class is the base interface for layout plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.LayoutProperty.

tlp.SizeAlgorithm

class tlp.SizeAlgorithm

Bases: tlp.Algorithm

This class is the base interface for size plugins.

class attributes

result

The result of the algorithm must be stored in this tlp.SizeProperty.

tlp.ImportModule

class tlp.ImportModule

Bases: tlp.Plugin

This abstract class describes an import plugin.

class attributes

graph

An empty tlp.Graph to populate when running the import process

dataSet

A tlp.DataSet containing parameters for this import plugin, if any

pluginProgress

A tlp.PluginProgress to give feedback to the user. It can be None, so use with caution

class methods

importGraph()

This method is called to import a graph. Derived classes must implement it. A boolean must also be returned to indicate if the import was successful.

Return type:boolean

tlp.ExportModule

class tlp.ExportModule

Bases: tlp.WithParameter

This abstract class describes an export plugin.

class attributes

graph

The tlp.Graph to export

dataSet

A tlp.DataSet containing parameters for this export plugin, if any

pluginProgress

A tlp.PluginProgress to give feedback to the user. It can be None, so use with caution

class methods

exportGraph(os)

This method is called to export the graph to a file. Derived classes must implement it.

The os parameter is an output file stream (initialized by the Tulip GUI or by the tlp.exportGraph() function.). To write data to the file, you have to use the following syntax:

# write the number of nodes and edges to the file
os << self.graph.numberOfNodes() << "\n"
os << self.graph.numberOfEdges() << "\n"

A boolean must also be returned to indicate if the export was successful.

Parameters:os (std.ostream) – an output file stream Return type:boolean

Graph test classes

tlp.SelfLoops

class tlp.SelfLoops

The tlp.SelfLoops class represents a self loop that has been replaced by two nodes and three edges. The method tlp.AcyclicTest.makeAcyclic() returns a list of this type.

It contains the following variables :

• old (tlp.edge) : the self loop edge that has been replaced
• n1 (tlp.node) : the first node added
• n2 (tlp.node) : the second node added
• e1 (tlp.edge) : the edge added between the node at the extremity of the loop and n1
• e2 (tlp.edge) : the edge added between n1 and n2
• e3 (tlp.edge) : the edge added between the node at the extremity of the loop and n2

tlp.AcyclicTest

class tlp.AcyclicTest

acyclicTest(graph)

Returns a tuple whose first member is a boolean indicating if the graph is acyclic or not and second member is a list of edges that create cycle (when the graph is not acyclic).

Parameters:graph (tlp.Graph) – the graph on which to perform the acyclic test Return type:(boolean, list of tlp.edge)

isAcyclic(graph)

Returns True if the graph is acyclic, False if not. The result is cached (ie. the next call with the same graph is done in O(1) time)

Parameters:graph (tlp.Graph) – the graph on which to perform the acyclic test Return type:boolean

makeAcyclic(graph)

Makes the graph acyclic, by reversing edge direction (feedback arc set problem). If there is self loops, a new node is added with two edges that points to it. Returns a tuple containing whose first member is a list of reversed edges and second member is a list of transformed self loops.

Parameters:graph (tlp.Graph) – the graph to make acyclic Return type:(list of tlp.edge, list of tlp.SelfLoops)

tlp.BiconnectedTest

class tlp.BiconnectedTest

isBiconnected(graph)

Returns True if the graph is biconnected (ie. one must remove at least two nodes in order to disconnect the graph), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the biconnected test Return type:boolean

makeBiconnected(graph)

If the graph is not biconnected, adds edges in order to make the graph biconnected. Returns a list of added edges.

Parameters:graph (tlp.Graph) – the graph to make biconnected. Return type:list of tlp.edge

tlp.ConnectedTest

class tlp.ConnectedTest

computeConnectedComponents(graph)

Computes the sets of connected components. Returns a list of connected components.

Parameters:graph (tlp.Graph) – the graph on which to compute the sets of connected components Return type:list of list of tlp.node

isConnected(graph)

Returns True if the graph is connected (ie. it exists an undirected path between each pair of nodes), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the connected test Return type:boolean

makeConnected(graph)

If the graph is not connected, adds edges in order to make the graph connected. Returns a list of added edges.

Parameters:graph (tlp.Graph) – the graph to make connected Return type:list of tlp.edge

numberOfConnectedComponents(graph)

Returns the number of connected components in the graph.

Parameters:graph (tlp.Graph) – the graph on which to compute the number of connected components Return type:integer

tlp.OuterPlanarTest

class tlp.OuterPlanarTest

isOuterPlanar(graph)

Returns True if the graph is outerplanar (i.e. a graph with an embedding in the plane such that all vertices belong to the unbounded face of the embedding), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the outerplanarity test Return type:boolean

tlp.PlanarityTest

class tlp.PlanarityTest

getObstructionsEdges(graph)

Returns a list of edges that prevents to make the graph planar (ie. part of the minor of K3,3 or K5).

Parameters:graph (tlp.Graph) – the graph on which to compute the obstruction edges Return type:list of tlp.edge

isPlanar(graph)

Returns True if the graph is planar (i.e. the graph can be drawn in such a way that no edges cross each other), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the planarity test Return type:boolean

isPlanarEmbedding(graph)

Returns True if the current embedding of the graph is planar, False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the planar embedding test Return type:boolean

planarEmbedding(graph)

Changes the order of edges around the nodes in order to make the embedding planar (the graph must be planar for that). Returns True if the graph is planar, False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to compute a planar embedding Return type:boolean

tlp.SimpleTest

class tlp.SimpleTest

isSimple(graph)

Returns True if the graph is simple (i.e. it contains no self loops or parallel edges), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the simple test Return type:boolean

makeSimple(graph)

Makes the graph simple by removing self loops and parallel edges if any. Returns a list of removed edges.

Parameters:graph (tlp.Graph) – the graph to make simple Return type:list of tlp.edge

simpleTest(graph)

Performs a simple test and returns a tuple with 3 elements. The first element is a boolean indicating the result of the test. The second element is a list of found parallel edges. The third element is a list of found self loops.

Parameters:graph (tlp.Graph) – the graph on which to perform the simple test Return type:(boolean, list of tlp.edge, list of tlp.edge)

tlp.TreeTest

class tlp.TreeTest

cleanComputedTree(graph, tree)

Cleans the graph from a tree previously computed with the tlp.TreeTest.computeTree() method.

Parameters:

• graph (tlp.Graph) – the graph to clean from a tree
• tree (tlp.Graph) – the tree to remove from the graph

computeTree(graph)

Computes a rooted tree from the graph. The algorithm is the following :

• if the graph is a rooted tree, returns the graph
• if the graph is a free tree, returns a rooted clone subgraph
• if the graph is connected, makes a clone subgraph and returns a rooted spanning tree of that clone
• if the graph is not connected, makes a clone subgraph, computes a tree for each of its connected components, adds a simple source and returns the clone.

Parameters:graph (tlp.Graph) – the graph on which to compute a rooted tree Return type:tlp.Graph

isFreeTree(graph)

Returns True if the graph is a topological tree (i.e. if the graph was undirected, there would be no cycle), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the free tree test Return type:boolean

isTree(graph)

Returns True if the graph is a rooted tree (i.e. a graph with one node designated as the root), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the tree test Return type:boolean

makeRootedTree(graph, root)

Turns a free tree into a rooted tree.

Parameters:

• graph (tlp.Graph) – the tree to make rooted
• root (tlp.node) – the node to designate as the root of the tree

tlp.TriconnectedTest

class tlp.TriconnectedTest

isTriconnected(graph)

Returns True if the graph is triconnected (i.e. a connected graph such that deleting any two nodes (and incident edges) results in a graph that is still connected), False otherwise.

Parameters:graph (tlp.Graph) – the graph on which to perform the triconnected test Return type:boolean