def test_trophic_incoherence_parameter_no_cannibalism():
matrix_a = np.array([[0, 1], [0, 0]])
G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=False)
assert almost_equal(q, 0)
# fmt: off
matrix_b = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 0, 1],
[0, 0, 0, 0]])
# fmt: on
G = nx.from_numpy_array(matrix_b, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=False)
assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25]))
# fmt: off
matrix_c = np.array([[0, 1, 1, 0], [0, 1, 1, 1], [0, 0, 0, 1],
[0, 0, 0, 1]])
# fmt: on
G = nx.from_numpy_array(matrix_c, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=False)
# Ignore the -link
assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25]))
# no self-loops case
# fmt: off
matrix_d = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 0, 1],
[0, 0, 0, 0]])
# fmt: on
G = nx.from_numpy_array(matrix_d, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=False)
# Ignore the -link
assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25]))
def test_trophic_incoherence_parameter_cannibalism():
matrix_a = np.array([[0, 1], [0, 0]])
G = nx.from_numpy_matrix(matrix_a, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
assert almost_equal(q, 0)
matrix_b = np.array([[0, 0, 0, 0, 0], [0, 1, 0, 1, 0], [1, 0, 0, 0, 0],
[0, 1, 0, 0, 0], [0, 0, 0, 1, 0]])
G = nx.from_numpy_matrix(matrix_b, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
assert almost_equal(q, 2)
matrix_c = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 0, 1],
[0, 0, 0, 0]])
G = nx.from_numpy_matrix(matrix_c, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
# Ignore the -link
assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25]))
def test_trophic_incoherence_parameter_cannibalism():
matrix_a = np.array([[0, 1], [0, 0]])
G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
assert q == pytest.approx(0, abs=1e-7)
# fmt: off
matrix_b = np.array([[0, 0, 0, 0, 0], [0, 1, 0, 1, 0], [1, 0, 0, 0, 0],
[0, 1, 0, 0, 0], [0, 0, 0, 1, 0]])
# fmt: on
G = nx.from_numpy_array(matrix_b, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
assert q == pytest.approx(2, abs=1e-7)
# fmt: off
matrix_c = np.array([[0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 0, 1],
[0, 0, 0, 0]])
# fmt: on
G = nx.from_numpy_array(matrix_c, create_using=nx.DiGraph)
q = nx.trophic_incoherence_parameter(G, cannibalism=True)
# Ignore the -link
assert q == pytest.approx(np.std([1, 1.5, 0.5, 0.75, 1.25]), abs=1e-7)