def test_sum_hamiltonian_calls_np_dot_with_correct_args(self,mock_dot):
hmc = HMCNeuron('fake_arg','fake_arg','fake_arg')
momentum = np.array([.01,.02])
obj_error = 100
hmc.sum_hamiltonian(momentum,obj_error)
assert(np.array_equal(mock_dot.call_args[0][0], momentum))
assert(np.array_equal(mock_dot.call_args[0][1], momentum * .5))
def test_sum_hamiltonian_example(self):
"""
The method sum_hamiltonian gives us the sum dot product of the
momentum and the momentum transposed plus the objective
function error.
"""
hmc = HMCNeuron('fake_arg','fake_arg','fake_arg')
momentum = np.array([.01,.02]) # Fake initial momentum
obj_error = 100
momentum = hmc.sum_hamiltonian(momentum,obj_error)
def test_sum_hamiltonian_calls_np_dot_with_momentum(self):
hmc = HMCNeuron('fake_arg','fake_arg','fake_arg')
momentum = np.array([.01,.02])
obj_error = 100.0
actual = hmc.sum_hamiltonian(momentum,obj_error)
assert(isinstance(actual, float))
def test_sum_hamiltonian_calls_np_dot_once(self,mock_dot):
hmc = HMCNeuron('fake_arg','fake_arg','fake_arg')
momentum = np.array([.01,.02])
obj_error = 100
hmc.sum_hamiltonian(momentum,obj_error)
assert(mock_dot.called_once)
