phivenv/Lib/site-packages/networkx/algorithms/tests/test_communicability.py

from collections import defaultdict

import pytest

pytest.importorskip("numpy")
pytest.importorskip("scipy")

import networkx as nx
from networkx.algorithms.communicability_alg import communicability, communicability_exp


class TestCommunicability:
    def test_communicability(self):
        answer = {
            0: {0: 1.5430806348152435, 1: 1.1752011936438012},
            1: {0: 1.1752011936438012, 1: 1.5430806348152435},
        }
        #        answer={(0, 0): 1.5430806348152435,
        #                (0, 1): 1.1752011936438012,
        #                (1, 0): 1.1752011936438012,
        #                (1, 1): 1.5430806348152435}

        result = communicability(nx.path_graph(2))
        for k1, val in result.items():
            for k2 in val:
                assert answer[k1][k2] == pytest.approx(result[k1][k2], abs=1e-7)

    def test_communicability2(self):
        answer_orig = {
            ("1", "1"): 1.6445956054135658,
            ("1", "Albert"): 0.7430186221096251,
            ("1", "Aric"): 0.7430186221096251,
            ("1", "Dan"): 1.6208126320442937,
            ("1", "Franck"): 0.42639707170035257,
            ("Albert", "1"): 0.7430186221096251,
            ("Albert", "Albert"): 2.4368257358712189,
            ("Albert", "Aric"): 1.4368257358712191,
            ("Albert", "Dan"): 2.0472097037446453,
            ("Albert", "Franck"): 1.8340111678944691,
            ("Aric", "1"): 0.7430186221096251,
            ("Aric", "Albert"): 1.4368257358712191,
            ("Aric", "Aric"): 2.4368257358712193,
            ("Aric", "Dan"): 2.0472097037446457,
            ("Aric", "Franck"): 1.8340111678944691,
            ("Dan", "1"): 1.6208126320442937,
            ("Dan", "Albert"): 2.0472097037446453,
            ("Dan", "Aric"): 2.0472097037446457,
            ("Dan", "Dan"): 3.1306328496328168,
            ("Dan", "Franck"): 1.4860372442192515,
            ("Franck", "1"): 0.42639707170035257,
            ("Franck", "Albert"): 1.8340111678944691,
            ("Franck", "Aric"): 1.8340111678944691,
            ("Franck", "Dan"): 1.4860372442192515,
            ("Franck", "Franck"): 2.3876142275231915,
        }

        answer = defaultdict(dict)
        for (k1, k2), v in answer_orig.items():
            answer[k1][k2] = v

        G1 = nx.Graph(
            [
                ("Franck", "Aric"),
                ("Aric", "Dan"),
                ("Dan", "Albert"),
                ("Albert", "Franck"),
                ("Dan", "1"),
                ("Franck", "Albert"),
            ]
        )

        result = communicability(G1)
        for k1, val in result.items():
            for k2 in val:
                assert answer[k1][k2] == pytest.approx(result[k1][k2], abs=1e-7)

        result = communicability_exp(G1)
        for k1, val in result.items():
            for k2 in val:
                assert answer[k1][k2] == pytest.approx(result[k1][k2], abs=1e-7)