def test_Ken_example(self):
# cases from Ken's recent paper:
# Bridge Seismic Vulnerability Modelling
# none damage
states = np.array([[[0]]])
fp = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90])
expected_time = np.array([[[0, 0, 0, 0, 0, 0, 0, 0, 0]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2),
msg)
btc.reset_external_data()
# slight damage
states = np.array([[[1]]])
#fp = np.array([70, 100])
fp = np.array([70])
expected_time = np.array([[[1]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2),
msg)
btc.reset_external_data()
# moderate damage
states = np.array([[[2]]])
fp = np.array([30, 60, 95])
expected_time = np.array([1, 3, 7])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-1),
msg)
btc.reset_external_data()
# extensive damage
states = np.array([[[3]]])
fp = np.array([2, 5, 6, 15, 65])
expected_time = np.array([1, 3, 7, 30, 90])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-1),
msg)
btc.reset_external_data()
# complete damage
states = np.array([[[4]]])
fp = np.array([0, 2, 3, 10])
expected_time = np.array([1, 4, 30, 90])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
# relaxed precision here since curve very flat at low FP
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-0),
msg)
btc.reset_external_data()
def test_Ken_example(self):
# cases from Ken's recent paper:
# Bridge Seismic Vulnerability Modelling
# none damage
states = np.array([[[0]]])
fp = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90])
expected_time = np.array([[[0, 0, 0, 0, 0, 0, 0, 0, 0]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2), msg)
btc.reset_external_data()
# slight damage
states = np.array([[[1]]])
#fp = np.array([70, 100])
fp = np.array([70])
expected_time = np.array([[[1]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2), msg)
btc.reset_external_data()
# moderate damage
states = np.array([[[2]]])
fp = np.array([30, 60, 95])
expected_time = np.array([1, 3, 7])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-1), msg)
btc.reset_external_data()
# extensive damage
states = np.array([[[3]]])
fp = np.array([2, 5, 6, 15, 65])
expected_time = np.array([1, 3, 7, 30, 90])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-1), msg)
btc.reset_external_data()
# complete damage
states = np.array([[[4]]])
fp = np.array([0, 2, 3, 10])
expected_time = np.array([1, 4, 30, 90])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
# relaxed precision here since curve very flat at low FP
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-0), msg)
btc.reset_external_data()
def test_real_world(self):
fp = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90])
states = np.array([[[1], [0], [3]], [[2], [1], [4]]])
expected_time = np.array(
[[[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[22.0, 40.0, 53.0, 65.0, 75.0, 86.0, 98.0, 111.0, 129.0]],
[[1.0, 1.0, 2.0, 2.0, 3.0, 4.0, 4.0, 5.0, 6.0],
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0],
[90.0, 138.0, 173.0, 203.0, 230.0, 258.0, 288.0, 323.0, 371.0]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s' %
(str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2),
msg)
btc.reset_external_data()
def test_real_world(self):
fp = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90])
states = np.array([[[1],[0],[3]],
[[2],[1],[4]]])
expected_time = np.array(
[[[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[22.0, 40.0, 53.0, 65.0, 75.0, 86.0, 98.0, 111.0, 129.0]],
[[1.0, 1.0, 2.0, 2.0, 3.0, 4.0, 4.0, 5.0, 6.0],
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0],
[90.0, 138.0, 173.0, 203.0, 230.0, 258.0, 288.0, 323.0, 371.0]]])
calc_time = btc.time_to_complete(fp, states)
msg = ('states=\n%s, fp=%s\nexpected_time=%s\ncalc_time=%s'
% (str(states), str(fp), str(expected_time), str(calc_time)))
self.failUnless(np.allclose(expected_time, calc_time, rtol=5.0e-2), msg)
btc.reset_external_data()
