def testBiDirectionalBackward(self):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm with only backward direction.
"""
bidirec = BiDirectional(self.G,
self.max_res,
self.min_res,
direction='backward')
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'backward'
self.assertRegex(cm.output[0], 'backward')
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
# Check path and other attributes
self.assertEqual(path, ['Source', 2, 5, 'Sink'])
self.assertEqual(cost, 1)
self.assertTrue(all(total_res == [3, 3]))
self.assertTrue(all(e in self.G.edges() for e in zip(path, path[1:])))
self.assertEqual(self.max_res, [len(self.G.edges()), 6])
self.assertEqual(self.min_res, [0, 0])
def testBiDirectionalBothDynamic(self, _, seed):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm for a range of seeds.
Note the first argument is required to work using parameterized and unittest.
"""
bidirec = BiDirectional(self.G,
self.max_res,
self.min_res,
REF_forward=self.custom_REF_forward,
REF_backward=self.custom_REF_backward,
seed=seed)
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'dynamic'
self.assertRegex(cm.output[0], 'dynamic')
# Check exception for not running first
with self.assertRaises(Exception) as context:
bidirec.path
self.assertTrue("run()" in str(context.exception))
# Run and test results
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
self.assertEqual(path, ['Source', 1, 2, 3, 4, 'Sink'])
self.assertEqual(cost, -23)
self.assertTrue(all(total_res == [5, 30, 1]))
def test_bidirectional(self):
alg = BiDirectional(self.G, self.max_res, self.min_res, elementary=True)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertTrue(alg.consumed_resources == self.consumed_resources)
self.assertTrue(
all(e in self.G.edges() for e in zip(alg.path, alg.path[1:])))
def test_bidirectional_random(self, _, seed):
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
seed=seed,
elementary=True)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertTrue(all(alg.consumed_resources == self.consumed_resources))
def test_bidirectional(self):
"""
Test BiDirectional with randomly chosen sequence of directions
for a range of seeds.
"""
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
elementary=False)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertEqual(alg.consumed_resources, self.consumed_resources)
def test_bidirectional_random(self, _, seed):
"""Test BiDirectional with randomly chosen sequence of directions
for a range of seeds.
"""
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
REF_forward=self.custom_REF_forward,
REF_backward=self.custom_REF_backward,
seed=seed)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertTrue(all(alg.consumed_resources == self.consumed_resources))
def test_bidirectional_backward(self):
"""
Find shortest path of simple test digraph using BiDirectional
algorithm with only backward direction.
"""
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
direction='backward',
elementary=True)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertTrue(all(alg.consumed_resources == self.consumed_resources))
def testBiDirectional(self, _, seed):
"""
Find shortest path of simple test digraph using BiDirectional
"""
bidirec = BiDirectional(self.G, self.max_res, self.min_res, seed=seed)
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
# Check path
self.assertEqual(path, ['Source', 2, 1, 'Sink'])
# Check attributes
self.assertEqual(cost, -10)
self.assertTrue(all(total_res == [3, 2]))
self.assertTrue(all(e in self.G.edges() for e in zip(path, path[1:])))
def testBiDirectionalBothDynamic(self):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm for a range of seeds.
Note the first argument is required to work using parameterized and unittest.
"""
bidirec = BiDirectional(self.G, self.max_res, self.min_res)
# Run and test results
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
self.assertEqual(path, ['Source', "A", 'Sink'])
self.assertEqual(cost, 0)
self.assertTrue(all(total_res == [2, 12]))
def test_bidirectional(self):
"""
Test BiDirectional with randomly chosen sequence of directions
for a range of seeds.
"""
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
elementary=True)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertEqual(alg.consumed_resources, self.consumed_resources)
self.assertTrue(
all(e in self.G.edges() for e in zip(alg.path, alg.path[1:])))
def test_bidirectional_generated(self):
"""
Test BiDirectional with the search direction chosen by the number of
direction with lowest number of generated labels.
"""
alg = BiDirectional(self.G,
self.max_res,
self.min_res,
method="generated",
elementary=True)
alg.run()
self.assertEqual(alg.path, self.result_path)
self.assertEqual(alg.total_cost, self.total_cost)
self.assertTrue(all(alg.consumed_resources == self.consumed_resources))
self.assertTrue(
all(e in self.G.edges() for e in zip(alg.path, alg.path[1:])))
def testBothDirections(self):
# Find shortest path of simple test digraph
alg_obj = BiDirectional(self.G, self.max_res, self.min_res)
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
alg_obj.name_algorithm(U=self.max_res[0], L=self.min_res[0])
self.assertRegex(cm.output[0], 'dynamic')
path = alg_obj.run()
self.assertEqual(path, ['Source', 'A', 'B', 'C', 'Sink'])
def testBackward(self):
# Find shortest path of simple test digraph
alg_obj = BiDirectional(self.G,
self.max_res, [-1, 0],
direction='backward')
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
alg_obj.name_algorithm()
self.assertRegex(cm.output[0], 'backward')
path = alg_obj.run()
self.assertEqual(path, ['Source', 'A', 'B', 'C', 'Sink'])
def testBiDirectionalBothDynamic(self, _, seed):
"""
Find shortest path of simple test digraph using BiDirectional.
"""
bidirec = BiDirectional(self.G, self.max_res, self.min_res, seed=seed)
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'dynamic'
self.assertRegex(cm.output[0], 'dynamic')
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
# Check path and other attributes
self.assertEqual(path, ['Source', 2, 1, 'Sink'])
self.assertEqual(cost, -10)
self.assertTrue(all(total_res == [3, 2]))
def testBiDirectionalForward(self):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm with only forward direction.
"""
bidirec = BiDirectional(self.G,
self.max_res,
self.min_res,
direction='forward')
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'forward'
self.assertRegex(cm.output[0], 'forward')
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
self.assertEqual(path, ['Source', 'A', 'B', 'C', 'Sink'])
self.assertEqual(cost, -13)
self.assertTrue(all(total_res == [4, 15.3]))
def _solve_cspy(self):
# Solve subproblem with exact algorithm
log.info(" Solving subproblem for aircraft {}".format(self.k))
G = deepcopy(self.G_pre)
n_edges = len(G.edges())
crew_ub = AIRLINES_DATA[self.airline]['crew_budget']
max_res = [
n_edges, 0.0, self.max_FH, crew_ub, MAX_CREWD1, MAX_CREWD2, 0.0, 1.0
]
min_res = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
bidirec = BiDirectional(G,
max_res,
min_res,
direction='both',
preprocess=True,
REF=self.REF)
bidirec.run()
path = bidirec.path
self.shortest_path = [(edge[2]['data'], edge[2]['weight'])
for edge in G.edges(data=True)
if edge[0:2] in zip(path, path[1:])]
return self.shortest_path
def testBiDirectionalBothDynamic(self):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm with dynamic halfway point.
"""
bidirec = BiDirectional(self.G, self.max_res, self.min_res)
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'dynamic'
self.assertRegex(cm.output[0], 'dynamic')
# Check exception for not running first
with self.assertRaises(Exception) as context:
bidirec.path
self.assertTrue("run()" in str(context.exception))
# Run and test results
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
self.assertEqual(path, ['Source', 'A', 'B', 'C', 'Sink'])
self.assertEqual(cost, -13)
self.assertTrue(all(total_res == [4, 15.3]))
def testBiDirectionalBothDynamic(self, _, seed):
"""
Find shortest path of simple test digraph using the BiDirectional
algorithm for a range of seeds.
Note the first argument is required to work using parameterized and unittest.
"""
bidirec = BiDirectional(self.G, self.max_res, self.min_res, seed=seed)
# Check classification
with self.assertLogs('cspy.algorithms.bidirectional') as cm:
bidirec.name_algorithm()
# Log should contain the word 'dynamic'
self.assertRegex(cm.output[0], 'dynamic')
bidirec.run()
path = bidirec.path
cost = bidirec.total_cost
total_res = bidirec.consumed_resources
# Check path and other attributes
self.assertEqual(path, ['Source', 2, 5, 'Sink'])
self.assertEqual(cost, 1)
self.assertTrue(all(total_res == [3, 3]))
self.assertTrue(all(e in self.G.edges() for e in zip(path, path[1:])))
self.assertEqual(self.max_res, [len(self.G.edges()), 6])
self.assertEqual(self.min_res, [0, 0])
def test_bidirectional(self):
alg = BiDirectional(self.G, self.max_res, self.min_res)
alg.run()
self.assertEqual(alg.path, ['Source', "A", 'Sink'])
self.assertEqual(alg.total_cost, 0)
self.assertTrue(alg.consumed_resources == [2, 12])