def test_get_output_states_bad_input():
"""MarkovNetwork.get_output_states() with bad input"""
np.random.seed(32480)
test_mn = MarkovNetwork(2, 4, 2)
test_mn.update_input_states([-7, 2])
test_mn.activate_network()
assert np.all(test_mn.get_output_states() == np.array([1, 0]))
def test_get_output_states_bad_input():
"""MarkovNetwork.get_output_states() with bad input"""
np.random.seed(98342)
test_mn = MarkovNetwork(2, 4, 2)
test_mn.update_input_states([-7, 2])
test_mn.activate_network()
assert np.all(test_mn.get_output_states() == np.array([0, 1]))
def test_get_output_states():
"""MarkovNetwork.get_output_states()"""
np.random.seed(32480)
test_mn = MarkovNetwork(2, 4, 2)
test_mn.update_input_states([1, 1])
test_mn.activate_network()
assert np.all(test_mn.get_output_states() == np.array([1, 0]))
def test_update_input_states_invalid_input():
"""MarkovNetwork.test_update_input_states() with invalid input"""
np.random.seed(98342)
test_mn = MarkovNetwork(2, 4, 2)
try:
test_mn.update_input_states([1, 1, 0])
except Exception as e:
assert type(e) is ValueError
def test_update_input_states_invalid_input():
"""MarkovNetwork.test_update_input_states() with invalid input"""
np.random.seed(98342)
test_mn = MarkovNetwork(2, 4, 2)
try:
test_mn.update_input_states([1, 1, 0])
except Exception as e:
assert type(e) is ValueError
def test_update_input_states():
"""MarkovNetwork.test_update_input_states()"""
np.random.seed(98342)
test_mn = MarkovNetwork(2, 4, 2)
test_mn.update_input_states([1, 1])
assert np.all(test_mn.states[:2] == np.array([1, 1]))
def test_update_input_states_bad_input():
"""MarkovNetwork.test_update_input_states() with bad input"""
np.random.seed(98342)
test_mn = MarkovNetwork(2, 4, 2)
test_mn.update_input_states([-7, 2])
assert np.all(test_mn.states[:2] == np.array([1, 1]))