SparkseePython  6.0.2
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sparksee.StrongConnectivityGabow Class Reference

This class can be used to solve the problem of finding strongly connected components in a directed graph. More...

Inheritance diagram for sparksee.StrongConnectivityGabow:
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Public Member Functions

def add_edge_type (self, type, dir)
 Allows connectivity through edges of the given type. More...
 
def exclude_nodes (self, nodes)
 Set which nodes can't be used. More...
 
def get_connected_components (self)
 Returns the results generated by the execution of the algorithm. More...
 
def run (self)
 Executes the algorithm.
 
def add_all_edge_types (self, dir)
 Allows connectivity through all edge types of the graph. More...
 
def exclude_edges (self, edges)
 Set which edges can't be used. More...
 
def add_node_type (self, t)
 Allows connectivity through nodes of the given type. More...
 
def set_materialized_attribute (self, attribute_name)
 Creates a new common attribute type for all node types in the graph in order to store, persistently, the results related to the connected components found while executing this algorithm. More...
 
def __init__ (self, session)
 Creates a new instance of StrongConnectivityGabow. More...
 
def add_all_node_types (self)
 Allows connectivity through all node types of the graph.
 
def close (self)
 Closes the Connectivity instance. More...
 
def is_closed (self)
 Gets if Connectivity has been closed or not. More...
 

Detailed Description

This class can be used to solve the problem of finding strongly connected components in a directed graph.

It consists in finding components where every pair (u,v) of nodes contained in it has a path from u to v using the specified direction for each edge type. This implementation is based on the Gabow algorithm.

It is possible to set some restrictions after constructing a new instance of this class and before running it in order to limit the results.

After the execution, we can retrieve the results stored in an instance of the ConnectedComponents class using the GetConnectedComponents method.

Check out the 'Algorithms' section in the SPARKSEE User Manual for more details on this.

Author
Sparsity Technologies http://www.sparsity-technologies.com

Constructor & Destructor Documentation

def sparksee.StrongConnectivityGabow.__init__ (   self,
  session 
)

Creates a new instance of StrongConnectivityGabow.

After creating this instance is required to indicate the set of edge types and the set of node types which will be navigated through while traversing the graph in order to find the strong connected components.

Parameters
session[in] Session to get the graph from and calculate the connectivity

Member Function Documentation

def sparksee.StrongConnectivityGabow.add_all_edge_types (   self,
  dir 
)

Allows connectivity through all edge types of the graph.

Parameters
dir[in] Edge direction.
def sparksee.StrongConnectivityGabow.add_edge_type (   self,
  type,
  dir 
)

Allows connectivity through edges of the given type.

Parameters
type[in] Edge type.
dir[in] Edge direction.
def sparksee.StrongConnectivityGabow.add_node_type (   self,
  t 
)

Allows connectivity through nodes of the given type.

Parameters
tnull
def sparksee.Connectivity.close (   self)
inherited

Closes the Connectivity instance.

It must be called to ensure the integrity of all data.

def sparksee.StrongConnectivityGabow.exclude_edges (   self,
  edges 
)

Set which edges can't be used.

This will replace any previously specified set of excluded edges. Should only be used to exclude the usage of specific edges from allowed edge types because it's less efficient than not allowing an edge type.

Parameters
edges[in] A set of edge identifiers that must be kept intact until the destruction of the class.
def sparksee.StrongConnectivityGabow.exclude_nodes (   self,
  nodes 
)

Set which nodes can't be used.

This will replace any previously specified set of excluded nodes. Should only be used to exclude the usage of specific nodes from allowed node types because it's less efficient than not allowing a node type.

Parameters
nodes[in] A set of node identifiers that must be kept intact until the destruction of the class.
def sparksee.StrongConnectivityGabow.get_connected_components (   self)

Returns the results generated by the execution of the algorithm.

These results contain information related to the connected components found as the number of different components, the set of nodes contained in each component or many other data.

Returns
Returns an instance of the class ConnectedComponents which contain information related to the connected components found.
def sparksee.Connectivity.is_closed (   self)
inherited

Gets if Connectivity has been closed or not.

See also
close()
Returns
TRUE if the Connectivity instance has been closed, FALSE otherwise.
def sparksee.StrongConnectivityGabow.set_materialized_attribute (   self,
  attribute_name 
)

Creates a new common attribute type for all node types in the graph in order to store, persistently, the results related to the connected components found while executing this algorithm.

Whenever the user wants to retrieve the results, even when the graph has been closed and opened again, it is only necessary to create a new instance of the class ConnectedComponents indicating the graph and the name of the common attribute type which stores the results. This instance will have all the information related to the connected components found in the moment of the execution of the algorithm that stored this data.

It is possible to run the algorithm without specifying this parameter in order to avoid materializing the results of the execution.

Parameters
attribute_name[in] The name of the common attribute type for all node types in the graph which will store persistently the results generated by the execution of the algorithm.