How to use test_prune method in molecule

Best Python code snippet using molecule_python

testsuite.py

Source:testsuite.py

...43    g = create_G()44    mst = get_mst(g)45    g.add_edge(10, 1, weight="10")46    print(find_edge(g, 10, mst))47def test_prune():48    mst = get_mst(create_G())49    prune(mst)50def test_partition_graph():51    g = create_G()52    print(partition_graph(g))53def test_choose_max_cut_edge():54    g = create_G()55    l, r = partition_graph(g)56    print(maximum_edge_across_cut(g, l, r))57def test_max_edge():58    g = create_G()59    print(get_max_edge(g))60def test_construct_domsetSPT():61    g = create_G()62    print(construct_domsetSPT(g))63def test_domset_approx():64    g = create_G()65    print(domset_approx(g))66def test_last():67    g = create_G()68    print(find_last(g, alpha = 2))69def test_distance():70    g = create_G()71    print(get_distance(g, 1, 6))72def test_spt():73    g = create_G()74    print(get_spt(g))75def test_mst_parents():76    g = create_G()77    print(get_mst_parents(get_mst(g)))78def test_get_children():79    g = create_G()80    mst_parents = get_mst_parents(get_mst(g))81    print(get_children(mst_parents, 1))82    print(get_children(mst_parents, 2))83    print(get_children(mst_parents, 3))84def test_prune():85    g = create_G()86    mst_g = get_mst(g)87    tree = prune(g, mst_g)88    print(average_pairwise_distance_fast(tree))89def test_repeated_prune():90    g = create_G()91    mst_g = get_mst(g)92    tree = repeated_pruning(g, mst_g)93    print(average_pairwise_distance_fast(tree))94# create_G()95# test_get_rand_node()96# test_get_edges()97# test_choose_random_edge()98# test_get_edge_weight()99# test_move_MST()100# test_find_edge()101# test_prune()102# test_partition_graph()103# test_choose_max_cut_edge()104# test_max_edge()105# test_construct_domsetSPT()106# test_domset_approx()107# test_better_domset()108# test_last()109# test_spt()110# test_distance()111# test_mst_parents()112# test_get_children()113test_prune()114# Can only perform one iteration ...

solution.py

Source:solution.py

...24            return prune(tree.right)25    tree.left = prune(tree.left) 26    tree.right = prune(tree.right) 27    return tree28def test_prune():29    # For example, given the following tree:30    # 31    #          032    #       /     \33    #     1         234    #   /            \35    # 3                 436    #   \             /   \37    #     5          6     738    # You should convert it to:39    # 40    #      041    #   /     \42    # 5         443    #         /   \44    #        6     745    example = \46    Tree(0,47        Tree(1,48            Tree(3, None, Tree(5)),49            None50            ),51        Tree(2,52            None,53            Tree(4, Tree(6), Tree(7))54            )55        )56    print("before:", example)57    print("after:", prune(example))58if __name__ == "__main__":...

test_prune.py

Source:test_prune.py

...13import metapype.model.metapype_io as metapype_io14import metapype.eml.validate as validate15import tests16logger = daiquiri.getLogger(__name__)17def test_prune():18    if "TEST_DATA" in os.environ:19        test_data = os.environ["TEST_DATA"]20    else:21        test_data = tests.test_data_path22    with open(f"{test_data}/eml.xml", "r") as f:23        xml = "".join(f.readlines())24    eml = metapype_io.from_xml(xml)25    pruned = validate.prune(eml, strict=True)26    for node in pruned:27        print(f"pruned: {node[0].name} - {node[1]}")28    errs = []29    validate.tree(eml, errs)30    for err in errs:31        print(err)

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