def test_nondet_state_by_node2state_by_state():
# Test for nondeterministic TPM.
result = convert.state_by_node2state_by_state(state_by_node_nondet)
expected = state_by_state_nondet
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_2_d_state_by_node2state_by_state():
# Check with 2-D form.
result = convert.state_by_node2state_by_state(state_by_node)
expected = state_by_state
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_nondet_state_by_node2state_by_state():
# Test for nondeterministic TPM.
result = convert.state_by_node2state_by_state(state_by_node_nondet)
expected = state_by_state_nondet
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_2_d_state_by_node2state_by_state():
# Check with 2-D form.
result = convert.state_by_node2state_by_state(state_by_node)
expected = state_by_state
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_n_d_state_by_node2state_by_state():
# Check with N-D form.
sbn = convert.to_n_dimensional(state_by_node)
result = convert.state_by_node2state_by_state(sbn)
expected = state_by_state
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_state_by_node2state_by_state():
sbn_tpm = np.array([[0, 0], [1, 0], [0, 1], [1, 1]])
expected = np.array([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0],
[0, 0, 0, 1]]).astype(float)
result = convert.state_by_node2state_by_state(sbn_tpm)
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_n_d_state_by_node2state_by_state():
# Check with N-D form.
sbn = convert.to_multidimensional(state_by_node)
result = convert.state_by_node2state_by_state(sbn)
expected = state_by_state
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)
def test_nonsquare_nondeterministic_1_state_by_node2state_by_state():
result = convert.state_by_node2state_by_state(nonsquare_nondeterministic_1)
# fmt: off
answer = np.array([
[0.126, 0.504, 0.014, 0.056, 0.054, 0.216, 0.006, 0.024],
[0.035, 0.315, 0.035, 0.315, 0.015, 0.135, 0.015, 0.135],
[0.016, 0.004, 0.064, 0.016, 0.144, 0.036, 0.576, 0.144],
[0.378, 0.162, 0.252, 0.108, 0.042, 0.018, 0.028, 0.012],
])
# fmt: on
assert np.allclose(result, answer)
def test_nonsquare_deterministic_1_state_by_node2state_by_state():
result = convert.state_by_node2state_by_state(nonsquare_deterministic_1)
# fmt: off
answer = np.array([
[0., 1., 0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0., 1., 0.],
[0., 0., 0., 1., 0., 0., 0., 0.],
[0., 0., 0., 0., 1., 0., 0., 0.],
])
# fmt: on
assert np.array_equal(result, answer)
def test_nonsquare_nondeterministic_2_state_by_node2state_by_state():
result = convert.state_by_node2state_by_state(nonsquare_nondeterministic_2)
# fmt: off
answer = np.array([
[1. , 0. , 0. , 0. ],
[0.09, 0.81, 0.01, 0.09],
[0.14, 0.06, 0.56, 0.24],
[0.63, 0.27, 0.07, 0.03],
[0.28, 0.42, 0.12, 0.18],
[0.2 , 0.2 , 0.3 , 0.3 ],
[0.08, 0.72, 0.02, 0.18],
[0.18, 0.72, 0.02, 0.08],
])
# fmt: on
assert np.allclose(result, answer)
def test_state_by_node2state_by_state():
sbn_tpm = np.array([
[0, 0],
[1, 0],
[0, 1],
[1, 1]
])
expected = np.array([
[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]
]).astype(float)
result = convert.state_by_node2state_by_state(sbn_tpm)
print("Result:")
print(result)
print("Expected:")
print(expected)
assert np.array_equal(result, expected)