def test_number_strongly_connected_big(self):
     G = retworkx.PyDiGraph()
     for i in range(100000):
         node = G.add_node(i)
         G.add_child(node, str(i), {})
     self.assertEqual(len(retworkx.strongly_connected_components(G)),
                      200000)
 def test_number_strongly_connected(self):
     G = retworkx.PyDiGraph()
     node_a = G.add_node(1)
     node_b = G.add_child(node_a, 2, {})
     node_c = G.add_node(3)
     self.assertEqual(retworkx.strongly_connected_components(G),
                      [[node_c], [node_b], [node_a]])
 def test_stongly_connected_no_linear(self):
     G = retworkx.PyDiGraph()
     G.add_nodes_from(list(range(8)))
     G.add_edges_from_no_data([
         (0, 1),
         (1, 2),
         (1, 7),
         (2, 3),
         (2, 6),
         (3, 4),
         (4, 2),
         (4, 5),
         (6, 3),
         (6, 5),
         (7, 0),
         (7, 6),
     ])
     expected = [[5], [2, 3, 4, 6], [0, 1, 7]]
     components = retworkx.strongly_connected_components(G)
     self.assertEqual(components, expected)
Example #4
0
import os
import tempfile
from typing import Sized

from PIL import Image
import pydot
import retworkx as rx
import igraph as ig
import numpy as np

G: rx.PyDiGraph = rx.directed_gnm_random_graph(1000, 2000, None)

components: list = rx.strongly_connected_components(G)

largest_component: Sized = max(components, key=len)

H: rx.PyGraph = G.subgraph(largest_component)

# have to fix pydot error
"""
dot = pydot.graph_from_dot_data(G.to_dot())[0]
with tempfile.TemporaryDirectory() as tmpdirname:
    tmp_path = os.path.join(tmpdirname, 'dag.png')
    dot.write_png(tmp_path)
    image = Image.open(tmp_path)
    os.remove(tmp_path)
image
"""
n1: np.ndarray = rx.digraph_adjacency_matrix(G, None)
g: ig.Graph = ig.Graph.Weighted_Adjacency(n1.tolist())
ig.plot(g)
 def largest_connected_component(self):
     """Return a set of qubits in the largest connected component."""
     return max(rx.strongly_connected_components(self.graph), key=len)
Example #6
0
 def time_strongly_connected_components(self):
     retworkx.strongly_connected_components(self.graph)