def generate_samples(depth: int, iterations: int) -> Iterable[Sample]:
def get_next_move(last_move):
while True:
next_move = np.random.choice(list(Move))
if next_move != last_move: return next_move
for _ in range(iterations):
c, last_move = Cube(), None
for d in range(depth):
last_move = move = get_next_move(last_move)
yield Sample(Cube(c.change_by(move)), d + 1)
def test_scatter_and_return(self):
c = Cube()
c.change_by(Move.BACK)
c.change_by(Move.LEFT_CTR)
c.change_by(Move.DOWN)
self.assertFalse(c.is_solved())
c.change_by(Move.DOWN_CTR)
c.change_by(Move.LEFT)
c.change_by(Move.BACK_CTR)
self.assertTrue(c.is_solved())
def test_mutability(self):
mut = Cube()
changed = mut.change_by(Move.DOWN)
self.assertFalse(mut.is_solved())
self.assertListEqual(mut.front, changed.front)
def test_back_move_and_return(self):
c = Cube()
c.change_by(Move.BACK)
self.assertFalse(c.is_solved())
c.change_by(Move.BACK_CTR)
self.assertTrue(c.is_solved())
def test_left_move_and_return(self):
c = Cube()
c.change_by(Move.LEFT)
self.assertFalse(c.is_solved())
c.change_by(Move.LEFT_CTR)
self.assertTrue(c.is_solved())
def test_down_move_and_return(self):
c = Cube()
c.change_by(Move.DOWN)
c.change_by(Move.DOWN_CTR)
self.assertTrue(c.is_solved())
def test_not_solved_after_move(self):
c = Cube()
c.change_by(Move.DOWN)
self.assertFalse(c.is_solved())
def generate_random_cube(iterations: int = 100) -> Cube:
c = Cube()
for _ in range(iterations):
c.change_by(np.random.choice(list(Move)))
return c
