def test_matrix_has_four_loops_and_five_vertices(self):
a = Transition(D('0.15'), D('56'))
b = Transition(D('0.85'), D('112'))
c = Transition(D('0.05'), D('8'))
d = Transition(D('0.95'), D('16'))
e = Transition(D('0.05'), D('24'))
f = Transition(D('0.95'), D('48'))
g = Transition(D('0.90'), D('40'))
z = Transition(D('0.10'), D('20'))
trans_matrix = TransitionMatrix([
[a, _, b, _, _],
[_, _, _, _, _],
[_, _, c, d, _],
[_, _, _, e, f],
[_, g, _, _, z],
])
reduce_matrix_size(trans_matrix)
self.assertTrue(trans_matrix.has_only_source_and_drain())
trans_from_source_to_drain = trans_matrix._matrix[0][1]
self.assertEqual(trans_from_source_to_drain.probability, D('1'))
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix
)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
def test_matrix_has_one_loop_and_four_vertices(self):
b = Transition(D('0.4'), D('10'))
a = Transition(D('0.6'), D('20'))
f = Transition(D('0.4'), D('10'))
g = Transition(D('0.2'), D('5'))
d = Transition(D('0.4'), D('15'))
e = Transition(D('0.8'), D('5'))
z = Transition(D('0.2'), D('10'))
trans_matrix = TransitionMatrix([
[_, _, b, a],
[_, _, _, _],
[_, f, g, d],
[_, e, z, _],
])
reduce_matrix_size(trans_matrix)
self.assertTrue(trans_matrix.has_only_source_and_drain())
trans_from_source_to_drain = trans_matrix._matrix[0][1]
self.assertEqual(trans_from_source_to_drain.probability, D('1'))
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix
)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
def test_matrix_has_four_loops_and_five_vertices(self):
a = Transition(D('0.15'), D('56'))
b = Transition(D('0.85'), D('112'))
c = Transition(D('0.05'), D('8'))
d = Transition(D('0.95'), D('16'))
e = Transition(D('0.05'), D('24'))
f = Transition(D('0.95'), D('48'))
g = Transition(D('0.90'), D('40'))
z = Transition(D('0.10'), D('20'))
trans_matrix = TransitionMatrix([
[a, _, b, _, _],
[_, _, _, _, _],
[_, _, c, d, _],
[_, _, _, e, f],
[_, g, _, _, z],
])
reduce_matrix_size(trans_matrix)
self.assertTrue(trans_matrix.has_only_source_and_drain())
trans_from_source_to_drain = trans_matrix._matrix[0][1]
self.assertEqual(trans_from_source_to_drain.probability, D('1'))
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
def test_matrix_has_one_loop_and_four_vertices(self):
b = Transition(D('0.4'), D('10'))
a = Transition(D('0.6'), D('20'))
f = Transition(D('0.4'), D('10'))
g = Transition(D('0.2'), D('5'))
d = Transition(D('0.4'), D('15'))
e = Transition(D('0.8'), D('5'))
z = Transition(D('0.2'), D('10'))
trans_matrix = TransitionMatrix([
[_, _, b, a],
[_, _, _, _],
[_, f, g, d],
[_, e, z, _],
])
reduce_matrix_size(trans_matrix)
self.assertTrue(trans_matrix.has_only_source_and_drain())
trans_from_source_to_drain = trans_matrix._matrix[0][1]
self.assertEqual(trans_from_source_to_drain.probability, D('1'))
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
def test_sum_of_probabilities_is_equal_to_one_or_zero(self):
b = Transition(D('0.4'), D('10'))
a = Transition(D('0.6'), D('20'))
f = Transition(D('0.5'), D('10'))
d = Transition(D('0.5'), D('15'))
e = Transition(D('0.8'), D('5'))
z = Transition(D('0.2'), D('10'))
trans_matrix = TransitionMatrix([[_, _, b, a], [_, _, _, _],
[_, f, _, d], [_, e, z, _]])
trans_matrix.exclude_last_vertex()
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
def test_sum_of_probabilities_is_equal_to_one_or_zero(self):
b = Transition(D('0.4'), D('10'))
a = Transition(D('0.6'), D('20'))
f = Transition(D('0.5'), D('10'))
d = Transition(D('0.5'), D('15'))
e = Transition(D('0.8'), D('5'))
z = Transition(D('0.2'), D('10'))
trans_matrix = TransitionMatrix([
[_, _, b, a],
[_, _, _, _],
[_, f, _, d],
[_, e, z, _]
])
trans_matrix.exclude_last_vertex()
all_rows_are_ok_after_excluding_first_loop = all(
check_sum_of_probabilities(row) for row in trans_matrix._matrix
)
self.assertTrue(all_rows_are_ok_after_excluding_first_loop)
