def test_backward():
# Construct test data
x = Variable(np.array([5., 3., 3., 1., 0.]))
g = Variable(np.ones(5))
expected_result = np.array([0.7717692057972512, 0.562087881852882,
1.4058826163342215, 0.9213241007090265,
1.3389361953066183])
# Generate object
lcse = LogCumsumExp()
# Run forward and backward pass
lcse.forward((x.data,))
result = lcse.backward((x.data, ), (g.data, ))
# Assert that the result equals the expected result
assert_true(np.array_equal(result[0], expected_result))
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