def load_ch_matrix():
    print "Reading NodeID map started at", time.strftime(time_format)
    start = time.time()
    node_id_map = inout.load_from_file(path +
                                       "{0}_node_id_map".format(dataset))
    print "Reading NodeID map took", time.time() - start, "s"
    print "-----------------------------------------"

    print "Reading hypergraph started at", time.strftime(time_format)
    start = time.time()
    hypergraph = Hypergraph.load_from_file(path + "{0}_hgraph".format(dataset))
    print "Reading hypergraph took", time.time() - start, "s"
    print "-----------------------------------------"

    print "Reading characteristic matrix started at", time.strftime(
        time_format)
    start = time.time()
    ch_matrix = CharacteristicMatrix.load_from_file(
        path + "{0}_ch_matrix".format(dataset))
    print "Reading characteristic matrix took", time.time() - start, "s"
    print "-----------------------------------------"

    print "Reading Column index to Node map started at", time.strftime(
        time_format)
    start = time.time()
    index_node_map = inout.load_from_file(path +
                                          "{0}_index_node_map".format(dataset))
    print "Reading Column index to Node map took", time.time() - start, "s"
    print "-----------------------------------------"

    return ch_matrix, hypergraph, index_node_map, node_id_map
def load_ch_matrix():
    print "Reading NodeID map started at", time.strftime(time_format)
    start = time.time()
    node_id_map = inout.load_from_file(path + "{0}_node_id_map".format(dataset))
    print "Reading NodeID map took", time.time() - start, "s"
    print "-----------------------------------------"
    
    print "Reading hypergraph started at", time.strftime(time_format)
    start = time.time()
    hypergraph = Hypergraph.load_from_file(path + "{0}_hgraph".format(dataset))
    print "Reading hypergraph took", time.time() - start, "s"
    print "-----------------------------------------"
    
    print "Reading characteristic matrix started at", time.strftime(time_format)
    start = time.time()
    ch_matrix = CharacteristicMatrix.load_from_file(path + "{0}_ch_matrix".format(dataset))
    print "Reading characteristic matrix took", time.time() - start, "s"
    print "-----------------------------------------"
    
    print "Reading Column index to Node map started at", time.strftime(time_format)
    start = time.time()
    index_node_map = inout.load_from_file(path + "{0}_index_node_map".format(dataset))
    print "Reading Column index to Node map took", time.time() - start, "s"
    print "-----------------------------------------"
    
    return ch_matrix, hypergraph, index_node_map, node_id_map
 def testCharacteristicMatrix_ReadWrite(self):
     file_name = "test_files/characteristic_matrix.tmp"
     dummy_hypergraph = Hypergraph(example_graphs.snm_dummy_graph)
     rballs_database, _ = similar_nodes_mining.extract_rballs_database(dummy_hypergraph, r_in=2, r_out=2, r_all=0)
     nodes_count = dummy_hypergraph.number_of_nodes()
     ch_matrix = CharacteristicMatrix(rballs_database, nodes_count, wl_iterations=4)
     ch_matrix.save_to_file(file_name)
     read_ch_matrix = CharacteristicMatrix.load_from_file(file_name)
     self.assertEqual(read_ch_matrix, ch_matrix, "The read characteristic matrix is different from the saved one.")
 def testCharacteristicMatrix_ReadWrite(self):
     file_name = "test_files/characteristic_matrix.tmp"
     dummy_hypergraph = Hypergraph(example_graphs.snm_dummy_graph)
     rballs_database, _ = similar_nodes_mining.extract_rballs_database(
         dummy_hypergraph, r_in=2, r_out=2, r_all=0)
     nodes_count = dummy_hypergraph.number_of_nodes()
     ch_matrix = CharacteristicMatrix(rballs_database,
                                      nodes_count,
                                      wl_iterations=4)
     ch_matrix.save_to_file(file_name)
     read_ch_matrix = CharacteristicMatrix.load_from_file(file_name)
     self.assertEqual(
         read_ch_matrix, ch_matrix,
         "The read characteristic matrix is different from the saved one.")