def g_of_v_algo(_: np.ndarray, orig: Graph):
graph: Graph = orig.copy()
set_name(graph)
cover_group = []
cover_group_degree = []
cover_group_g_of_v = []
removed_counter = 0
iteration = 0
while not is_empty_graph(graph):
iteration += 1
if is_empty_graph(graph):
break
selected_vertex, g_of_v_value, degree = select_vertex(graph, iteration)
cover_group_degree.append(degree)
cover_group_g_of_v.append(g_of_v_value)
zero_vertices(graph, [selected_vertex])
cover_group.append(selected_vertex)
return cover_group, removed_counter, (cover_group_degree,
cover_group_g_of_v)
def xyz_v3_algo(_, orig: Graph):
graph: Graph = orig.copy()
set_name(graph)
cover_group = []
removed_counter = 0
# add_to_cover, removed_in_reduce = reduce_graph(graph, do_reduce_1=True, do_reduce_2=True, do_reduce_3=True)
# cover_group.extend(add_to_cover)
# removed_counter += removed_in_reduce
while True:
add_to_cover, removed_in_reduce = reduce_graph(graph,
do_reduce_1=False,
do_reduce_2=False,
do_reduce_3=False)
cover_group.extend(add_to_cover)
removed_counter += removed_in_reduce
# xyz
selected_vertex_index = xyz_select_vertex(graph)
if selected_vertex_index is None:
break
cover_group.append(graph.vs[selected_vertex_index]['name'])
zero_vertices_by_index(graph, selected_vertex_index)
return list(cover_group), removed_counter
def degree(_: np.ndarray, orig: Graph):
graph: Graph = orig.copy()
set_name(graph)
cover_group = []
cover_group_degree = []
cover_group_g_of_v = []
removed_counter = 0
while not is_empty_graph(graph):
add_to_cover, removed_in_reduce = reduce_graph(graph,
do_reduce_1=False,
do_reduce_2=False,
do_reduce_3=False)
cover_group.extend(add_to_cover)
removed_counter += removed_in_reduce
if is_empty_graph(graph):
break
selected_vertex, selected_max_degree, selected_g_of_v = select_vertex(
graph)
cover_group_degree.append(selected_max_degree)
cover_group_g_of_v.append(selected_g_of_v)
zero_vertices(graph, [selected_vertex])
cover_group.append(selected_vertex)
return cover_group, removed_counter, (cover_group_degree,
cover_group_g_of_v)
def test_remove_vertex_if_contained_neighbors(self):
graph = Graph(n=8,
edges=[(1, 3), (3, 4), (4, 1), (1, 2), (3, 2), (2, 5),
(5, 4)])
set_name(graph)
add_to_cover = remove_vertex_if_contained_neighbors(graph)
self.assertEqual(add_to_cover, ['v1'])
def run_reduce_graph_all(graph=None):
graph: Graph = graph or Graph.Erdos_Renyi(100, 3 / 100)
set_name(graph)
print_graph_info(graph, leaves=True, zero_degree=True, connected_components=True, label='start')
added_to_cover, counter_of_removed = reduce_graph(graph, do_reduce_1=True, do_reduce_2=True, do_reduce_3=True)
print(f'size of cover: {len(added_to_cover) + counter_of_removed}')
print_graph_info(graph, leaves=True, zero_degree=True, connected_components=True, label='end')
def xyz_weak_algo(_, orig: Graph):
log = False
graph: Graph = orig.copy()
set_name(graph)
cover_group = []
removed_counter = 0
iteration = 0
if log:
print_graph_info(graph,
leaves=True,
zero_degree=True,
connected_components=True,
label='xyz_weak: start')
print_vertex_number(graph)
while True:
add_to_cover, removed_in_reduce = reduce_graph(graph,
do_reduce_1=True,
do_reduce_2=True,
do_reduce_3=True)
cover_group.extend(add_to_cover)
removed_counter += removed_in_reduce
# xyz
result = xyz_weak_select_vertex(graph)
if result is None:
break
add_to_cover_index, to_remove_index = result
if log:
print(
f'will be added to cover: {[graph.vs[i]["name"] for i in add_to_cover_index]}'
)
print(
f'will be removed (not in cover): {[graph.vs[i]["name"] for i in to_remove_index]}'
)
cover_group = cover_group + [
graph.vs[i]['name'] for i in add_to_cover_index
]
zero_vertices_by_index(graph, add_to_cover_index + to_remove_index)
iteration += 1
if log:
print_graph_info(graph,
leaves=True,
zero_degree=True,
connected_components=True,
label=f'xyz_weak: iteration ${iteration}')
print_vertex_number(graph)
return list(cover_group), removed_counter
def most_neighbors_with_minimal_degree_algo(_, orig: Graph):
cover_group = []
graph: Graph = orig.copy()
set_name(graph)
while not is_empty_graph(graph):
selected_vertex = select_vertices(graph)
zero_vertices(graph, [selected_vertex])
cover_group = cover_group + [selected_vertex]
return cover_group
def run_reduce_1_by_iteration(graph=None):
n = 1000
c = 3
graph: Graph = graph or Graph.Erdos_Renyi(n, c / n)
set_name(graph)
print_theoretical_number_of_leaves(n, c)
print_graph_info(graph, leaves=True, zero_degree=True, connected_components=True, label='initial graph')
added_to_cover = remove_parents_of_leaves(graph, log=True, one_time=False)
print(f'how many added to cover: {len(added_to_cover)}')
def first_vertex_with_degree_algo(_, orig: Graph):
cover_group = []
graph = orig.copy()
set_name(graph)
while not is_empty_graph(graph):
selected_vertices = select_vertices(graph)
zero_vertices(graph, selected_vertices)
cover_group = cover_group + selected_vertices
return cover_group
def run_reduce_graph_compare(graph=None):
graph: Graph = graph or Graph.Erdos_Renyi(10000, 2.8 / 10000)
copy1 = graph.copy()
copy2 = graph.copy()
set_name(copy1)
set_name(copy2)
print_graph_info(graph, leaves=True, zero_degree=True, connected_components=True, label='initial graph')
reduce_graph(copy1, do_reduce_1=True, do_reduce_2=False, do_reduce_3=False)
print_graph_info(copy1, leaves=True, zero_degree=True, connected_components=True, label='copy1: after only reduce 1')
reduce_graph(copy2, do_reduce_1=True, do_reduce_2=True, do_reduce_3=False)
print_graph_info(copy2, leaves=True, zero_degree=True, connected_components=True, label='copy2: after reduce 1 + 2')
def neighbors_algo(_, orig: Graph):
cover_group = []
graph: Graph = orig.copy()
set_name(graph)
while not is_empty_graph(graph):
parents = find_parents_of_leaves(graph)
zero_vertices(graph, parents)
cover_group = cover_group + parents
if is_empty_graph(graph):
break
selected_vertices = select_vertices(graph)
zero_vertices(graph, [selected_vertices[0]] + selected_vertices[1])
cover_group = cover_group + selected_vertices[1]
return cover_group
def xyz_neighbors_combined_algo(_, orig: Graph):
cover_group = []
graph: Graph = orig.copy()
set_name(graph)
while not is_empty_graph(graph):
parents = find_parents_of_leaves(graph)
zero_vertices(graph, parents)
cover_group = cover_group + parents
if is_empty_graph(graph):
break
selected_vertices, vertices_to_zero = select_vertices(graph)
zero_vertices(graph, selected_vertices + vertices_to_zero)
cover_group = cover_group + selected_vertices
return cover_group
def novac1_algo(_, orig: Graph):
graph: Graph = orig.copy()
set_name(graph)
cover_group = []
removed_counter = 0
while not is_empty_graph(graph):
add_to_cover, removed_in_reduce = reduce_graph(graph, do_reduce_1=False, do_reduce_2=False, do_reduce_3=False)
cover_group.extend(add_to_cover)
removed_counter += removed_in_reduce
if is_empty_graph(graph):
break
selected_vertices = select_vertices(graph)
zero_vertices(graph, selected_vertices)
cover_group = cover_group + selected_vertices
return cover_group, removed_counter
