def test_random_permutation(self):
random.seed(31)
parking_size = 100000
start_state = list(range(parking_size))
random.shuffle(start_state)
end_state = list(range(parking_size))
random.shuffle(end_state)
moves = compute_efficient_moves(start_state, end_state)
self.assertEqual(apply_moves(start_state, moves), end_state)
def test_efficient(self):
# compute efficient moves and then
# check if it is really the shortest one
start_state = [0, 1, 2, 3]
end_state = [0, 2, 1, 3]
moves = list(compute_efficient_moves(start_state, end_state))
all_sequences = list(compute_all_moves(start_state, end_state))
min_length = min(len(sequence) for sequence in all_sequences)
shortest_sequences = [
sequence for sequence in all_sequences
if len(sequence) == min_length
]
self.assertIn(moves, shortest_sequences)
def test_two_cycles(self):
start_state = [1, 2, 0, 3, 4, 5]
end_state = [3, 1, 2, 0, 5, 4]
moves = list(compute_efficient_moves(start_state, end_state))
self.assertEqual(apply_moves(start_state, moves), end_state)
self.assertEqual(len(moves), 6)
def test_no_empty_lot(self):
# test parking without empty parking lots
start_state = [1, 2, 3]
end_state = [3, 2, 1]
moves = compute_efficient_moves(start_state, end_state)
self.assertRaises(IndexError, lambda: apply_moves(start_state, moves))
def test_same_car_index(self):
# test having same car on multiple parking lots
start_state = [2, 2, 2, 0]
end_state = [2, 2, 2, 0]
moves = compute_efficient_moves(start_state, end_state)
self.assertRaises(IndexError, lambda: apply_moves(start_state, moves))
def test_nonexistent_indexes(self):
# test trying to move cars with nonexistent indexes
start_state = [1, 2, 0, 3]
end_state = [123, 0, 143, 79]
moves = compute_efficient_moves(start_state, end_state)
self.assertRaises(IndexError, lambda: apply_moves(start_state, moves))
def test_empty_state(self):
# test if one of the states is empty
start_state = [1, 2, 0, 3]
end_state = []
moves = compute_efficient_moves(start_state, end_state)
self.assertRaises(IndexError, lambda: next(moves))
def test_two_empty_states(self):
# test if both states are empty
start_state = []
end_state = []
moves = compute_efficient_moves(start_state, end_state)
self.assertEqual(list(moves), list())
def test_moves(self):
moves = compute_efficient_moves(self.start_state, self.end_state)
self.assertEqual(list(moves), [(1, 2), (0, 1), (3, 0)])
def test_compute_efficient_moves(self):
# test the efficient function, challenge #2
moves = compute_efficient_moves(self.start_state, self.end_state)
self.assertEqual(apply_moves(self.start_state, moves), self.end_state)
def test_pair_permutations(self):
start_state = [2, 1, 4, 3, 6, 5, 7, 0]
end_state = [1, 2, 3, 4, 5, 6, 7, 0]
moves = list(compute_efficient_moves(start_state, end_state))
self.assertEqual(apply_moves(start_state, moves), end_state)
self.assertEqual(len(list(moves)), 9)
