def test_stop_simulation(): """ Checks that if observe returns False, iteration stops. """ from mock import Mock mc = MonteCarlo(temperature=100.0, itermax=8) # Make a fake observer mc.observe = Mock(side_effect=[True, False, True]) # Fake energy method energies = [0.1, -0.1, -0.2, -0.15, -0.25] energy = Mock(side_effect=energies) # Call simulation mc(energy, [0, 1, 2, 3]) assert_equal(len(mc.observe.mock_calls), 2) assert_equal(len(energy.mock_calls), 3) # one extra call to get first energy
def test_main_algorithm():
""" Check set path through main algorithm """
from mock import Mock, call
mc = MonteCarlo(temperature=100.0, itermax=4)
# Patch mc so that it takes a pre-determined path through
acceptance = [True, True, False, True]
mc.accept_change = Mock(side_effect=acceptance)
densities = (
[0, 0, 1, 0],
[0, 1, 1, 0],
[2, 2, 2, 2],
[2, 3, 3, 2],
[5, 3, 3, 5],
)
mc.change_density = Mock(side_effect=densities[1:])
mc.observe = Mock(return_value=True)
# Fake energy method
energies = [0.1, -0.1, -0.2, -0.15, -0.25]
energy = Mock(side_effect=energies)
# Call simulation
mc(energy, densities[0])
# Now, analyze path. First check length.
assert_equal(len(mc.accept_change.mock_calls), 4)
assert_equal(len(mc.change_density.mock_calls), 4)
assert_equal(len(mc.observe.mock_calls), 4)
assert_equal(len(energy.mock_calls),
5) # one extra call to get first energy
# Easiest to look at observe, since it should have all the info about the step
observe_path = [
call(0, acceptance[0], densities[1], energies[1]),
call(1, acceptance[1], densities[2], energies[2]),
call(2, acceptance[2], densities[2], energies[2]),
call(3, acceptance[3], densities[4], energies[4]),
]
assert_equal(observe_path, mc.observe.call_args_list)
def test_main_algorithm():
""" Check set path through main algorithm """
from mock import Mock, call
mc = MonteCarlo(temperature=100.0, itermax=4)
# Patch mc so that it takes a pre-determined path through
acceptance = [True, True, False, True]
mc.accept_change = Mock(side_effect=acceptance)
densities = (
[0, 0, 1, 0],
[0, 1, 1, 0],
[2, 2, 2, 2],
[2, 3, 3, 2],
[5, 3, 3, 5],
)
mc.change_density = Mock(side_effect=densities[1:])
mc.observe = Mock(return_value=True)
# Fake energy method
energies = [0.1, -0.1, -0.2, -0.15, -0.25]
energy = Mock(side_effect=energies)
# Call simulation
mc(energy, densities[0])
# Now, analyze path. First check length.
assert_equal(len(mc.accept_change.mock_calls), 4)
assert_equal(len(mc.change_density.mock_calls), 4)
assert_equal(len(mc.observe.mock_calls), 4)
assert_equal(len(energy.mock_calls), 5) # one extra call to get first energy
# Easiest to look at observe, since it should have all the info about the step
observe_path = [
call(0, acceptance[0], densities[1], energies[1]),
call(1, acceptance[1], densities[2], energies[2]),
call(2, acceptance[2], densities[2], energies[2]),
call(3, acceptance[3], densities[4], energies[4])
]
assert_equal(observe_path, mc.observe.call_args_list)
