The algorithm developed by Eppstein not looking for simple paths. In Indeed, the paths returned by the algorithm may contain rings or loops. It applies only on graphs where the weights are positive. This algorithm is based on extensive use of heap. These piles will allow construct a graph of P such that the maximum level is 4 and a path in P corresponds to a path in the starting graph. A Python script (ksp.py) is provided in order to test both algorithms directly the command line. The parameters are the file name containing the graph, the origin of the roads, the roads end and the number paths. It should also add the -a option followed by the choice of algorithm (Eppstein or yen). Two additional optional parameters have been added: -s which saves the graph in an image whose name is passed -p parameter and that saves the graph P generated Eppstein algorithm. Both options require Graphviz to generate images and the library PyGraphviz

heap.py
ksp.py
measures.py
README.txt
graphs\complete.txt
......\exampleEppstein.svg
......\exampleEppstein.txt
......\exampleEppsteinP.svg
......\exampleYen.svg
......\exampleYen.txt
......\exampleYenP.svg
......\format.txt
......\twopaths.svg
......\twopaths.txt
networkx\algorithms\approximation\clique.py
........\..........\.............\clustering_coefficient.py
........\..........\.............\dominating_set.py
........\..........\.............\independent_set.py
........\..........\.............\matching.py
........\..........\.............\ramsey.py
........\..........\.............\tests\test_approx_clust_coeff.py
........\..........\.............\.....\test_clique.py
........\..........\.............\.....\test_dominating_set.py
........\..........\.............\.....\test_independent_set.py
........\..........\.............\.....\test_matching.py
........\..........\.............\.....\test_ramsey.py
........\..........\.............\.....\test_vertex_cover.py
........\..........\.............\vertex_cover.py
........\..........\.............\__init__.py
........\..........\.ssortativity\connectivity.py
........\..........\.............\connectivity.pyc
........\..........\.............\correlation.py
........\..........\.............\correlation.pyc
........\..........\.............\mixing.py
........\..........\.............\mixing.pyc
........\..........\.............\neighbor_degree.py
........\..........\.............\neighbor_degree.pyc
........\..........\.............\pairs.py
........\..........\.............\pairs.pyc
........\..........\.............\tests\base_test.py
........\..........\.............\.....\test_connectivity.py
........\..........\.............\.....\test_correlation.py
........\..........\.............\.....\test_mixing.py
........\..........\.............\.....\test_neighbor_degree.py
........\..........\.............\.....\test_pairs.py
........\..........\.............\__init__.py
........\..........\.............\__init__.pyc
........\..........\bipartite\basic.py
........\..........\.........\basic.pyc
........\..........\.........\centrality.py
........\..........\.........\centrality.pyc
........\..........\.........\cluster.py
........\..........\.........\cluster.pyc
........\..........\.........\projection.py
........\..........\.........\projection.pyc
........\..........\.........\redundancy.py
........\..........\.........\redundancy.pyc
........\..........\.........\spectral.py
........\..........\.........\spectral.pyc
........\..........\.........\tests\test_basic.py
........\..........\.........\.....\test_centrality.py
........\..........\.........\.....\test_cluster.py
........\..........\.........\.....\test_project.py
........\..........\.........\.....\test_spectral_bipartivity.py
........\..........\.........\__init__.py
........\..........\.........\__init__.pyc
........\..........\block.py
........\..........\block.pyc
........\..........\boundary.py
........\..........\boundary.pyc
........\..........\centrality\betweenness.py
........\..........\..........\betweenness.pyc
........\..........\..........\betweenness_subset.py
........\..........\..........\betweenness_subset.pyc
........\..........\..........\closeness.py
........\..........\..........\closeness.pyc
........\..........\..........\communicability_alg.py
........\..........\..........\communicability_alg.pyc
........\..........\..........\current_flow_betweenness.py
........\..........\..........\current_flow_betweenness.pyc
........\..........\..........\current_flow_betweenness_subset.py
........\..........\..........\current_flow_betweenness_subset.pyc
........\..........\..........\current_flow_closeness.py
........\..........\..........\current_flow_closeness.pyc
........\..........\..........\degree_alg.py
........\..........\..........\degree_alg.pyc
........\..........\..........\dispersion.py
........\..........\..........\dispersion.pyc
........\..........\..........\eigenvector.py
........\..........\..........\eigenvector.pyc
........\..........\..........\flow_matrix.py
....

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