def test_solver_progress_bar(example_problem, capfd): # noqa: F811
problem = rps.Problem(rectangles=example_problem)
solver = rps.Solver()
_ = solver.solve(problem=problem, show_progress=True)
out, err = capfd.readouterr()
assert out == ""
assert "Progress: 100%" in err
def test_visualizer(example_problem): # noqa: F811
problem = rps.Problem(rectangles=example_problem)
solver = rps.Solver()
solution = solver.solve(problem=problem,
simanneal_minutes=0.01,
simanneal_steps=10)
rps.Visualizer().visualize(solution=solution, path="./floorplan.png")
mimetype = mimetypes.guess_type("./floorplan.png")[0]
assert mimetype == "image/png"
def test_solver_example_large_problem(example_large_problem): # noqa: F811
problem = rps.Problem(rectangles=example_large_problem)
solver = rps.Solver()
solution = solver.solve(problem=problem, simanneal_minutes=0.2, simanneal_steps=200)
assert isinstance(solution, rps.Solution)
assert isinstance(solution.sequence_pair, rps.SequencePair)
assert isinstance(solution.floorplan, rps.Floorplan)
# Not so bad solution
assert solution.floorplan.area < 6000
def main():
# Define a problem
problem = rps.Problem(rectangles=[(0.1 * i, 0.1 * i) for i in range(100, 200, 5)])
print("problem:", problem)
# Find a solution
print("\n=== Solving without width/height constraints ===")
solution = rps.Solver().solve(
problem=problem, simanneal_minutes=1.0, simanneal_steps=500, show_progress=True, seed=1234
)
print("solution:", solution)
# Visualization (to floorplan_large.png)
rps.Visualizer().visualize(solution=solution, path="./figs/floorplan_large.png")
# Find a solution (with limit)
print("\n=== Solving with a width/height constraints ===")
solution = rps.Solver().solve(
problem=problem, simanneal_minutes=1.0, simanneal_steps=500, height_limit=50.0, show_progress=True, seed=1234
)
print("solution:", solution)
rps.Visualizer().visualize(solution=solution, path="./figs/floorplan_large_limit.png")
def test_solver_with_tight_limits(width_limit, height_limit):
# Note: See PR #23 for details.
problem = rps.Problem(
rectangles=[
{"width": 5, "height": 7, "rotatable": True},
{"width": 5, "height": 7, "rotatable": True},
{"width": 5, "height": 7, "rotatable": True},
{"width": 5, "height": 7, "rotatable": True},
{"width": 5, "height": 7, "rotatable": True},
]
)
solution = rps.Solver().solve(problem=problem, width_limit=width_limit, height_limit=height_limit)
assert solution.floorplan.bounding_box[0] <= width_limit
assert solution.floorplan.bounding_box[1] <= height_limit
def main():
# Define a problem
problem = rps.Problem(rectangles=[
[4, 6], # Format: [width, height] as list. Default rotatable: False
(4, 4), # Format: (width, height) as tuple. Default rotatable: False
{
"width": 2.1,
"height": 3.2,
"rotatable": False
}, # Or can be defined as dict.
{
"width": 1,
"height": 5,
"rotatable": True
},
])
print("problem:", problem)
# Find a solution
print("\n=== Solving without width/height constraints ===")
solution = rps.Solver().solve(problem=problem)
print("solution:", solution)
# Visualization (to floorplan.png)
rps.Visualizer().visualize(solution=solution,
path="./figs/floorplan_example.png")
# [Other Usages]
# We can also give a solution width (and/or height) limit
print("\n=== Solving with width/height constraints ===")
solution = rps.Solver().solve(problem=problem,
height_limit=6.5,
show_progress=True,
seed=1111)
print("solution:", solution)
rps.Visualizer().visualize(solution=solution,
path="./figs/floorplan_example_limit.png")
def main():
random.seed(12345)
n_rectangles = list(range(4, 10)) + list(range(10, 50, 10))
for n in n_rectangles:
print("\n================")
print("N =", n)
rectangles = generate_rectangles(n=n)
problem = rps.Problem(rectangles=rectangles)
print("problem:", problem)
solver = rps.Solver()
start = time.time()
solution = solver.solve(problem,
simanneal_minutes=0.1,
simanneal_steps=100)
elapsed_time = time.time() - start
print("solution:", solution)
print(solution.floorplan.bounding_box, solution.floorplan.area)
print("elapsed_time:", elapsed_time)
def test_solver_example_problem(example_problem): # noqa: F811
problem = rps.Problem(rectangles=example_problem)
solver = rps.Solver()
solution = solver.solve(problem=problem)
assert isinstance(solution, rps.Solution)
assert isinstance(solution.sequence_pair, rps.SequencePair)
assert isinstance(solution.floorplan, rps.Floorplan)
# The optimal solution is any of
# ([0, 1, 3, 2], [3, 0, 2, 1]),
# ([1, 2, 0, 3], [2, 3, 1, 0]),
# ([2, 3, 1, 0], [1, 2, 0, 3]), or
# ([3, 0, 2, 1], [0, 1, 3, 2])
optimal_0 = solution.sequence_pair.pair == ([0, 1, 3, 2], [3, 0, 2, 1])
optimal_1 = solution.sequence_pair.pair == ([1, 2, 0, 3], [2, 3, 1, 0])
optimal_2 = solution.sequence_pair.pair == ([2, 3, 1, 0], [1, 2, 0, 3])
optimal_3 = solution.sequence_pair.pair == ([3, 0, 2, 1], [0, 1, 3, 2])
assert optimal_0 or optimal_1 or optimal_2 or optimal_3
assert solution.floorplan.bounding_box == (8, 7.2)
assert solution.floorplan.area == 57.6
assert solution.floorplan.bounding_box[0] * solution.floorplan.bounding_box[1] == solution.floorplan.area
def test_solver_example_large_problem_with_height(example_large_problem): # noqa: F811
problem = rps.Problem(rectangles=example_large_problem)
solver = rps.Solver()
solution = solver.solve(problem=problem, simanneal_minutes=0.2, simanneal_steps=200, height_limit=50.0)
assert solution.floorplan.bounding_box[1] <= 50.0
def test_solver_with_height_limit(example_problem): # noqa: F811
problem = rps.Problem(rectangles=example_problem)
solver = rps.Solver()
solution = solver.solve(problem=problem, height_limit=6.5)
assert solution.floorplan.bounding_box[1] <= 6.5
def test_solver_with_invalid_height_limit(example_problem): # noqa: F811
problem = rps.Problem(rectangles=example_problem)
solver = rps.Solver()
with pytest.raises(ValueError) as e:
solver.solve(problem=problem, height_limit=5.5)
assert "'height_limit' must be greater than or equal to 6" in str(e.value)