Files
ortools-clone/examples/python/cover_rectangle_sat.py

97 lines
3.1 KiB
Python
Raw Normal View History

2018-12-23 18:16:16 +01:00
# Copyright 2010-2018 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
2018-12-23 21:24:23 +01:00
"""Fill a 72x37 rectangle by a minimum number of non-overlapping squares."""
2018-12-23 18:16:16 +01:00
from __future__ import print_function
from __future__ import division
from ortools.sat.python import cp_model
2018-12-23 21:24:23 +01:00
def cover_rectangle(num_squares):
"""Try to fill the rectangle with a given number of squares."""
2018-12-23 18:16:16 +01:00
size_x = 72
size_y = 37
model = cp_model.CpModel()
areas = []
sizes = []
x_intervals = []
y_intervals = []
sxs = []
sys = []
for i in range(num_squares):
size = model.NewIntVar(1, size_y, 'size_%i' % i)
2018-12-23 21:24:23 +01:00
startx = model.NewIntVar(0, size_x, 'sx_%i' % i)
endx = model.NewIntVar(0, size_x, 'ex_%i' % i)
starty = model.NewIntVar(0, size_y, 'sy_%i' % i)
endy = model.NewIntVar(0, size_y, 'ey_%i' % i)
2018-12-23 18:16:16 +01:00
2018-12-23 21:24:23 +01:00
interval_x = model.NewIntervalVar(startx, size, endx, 'ix_%i' % i)
interval_y = model.NewIntervalVar(starty, size, endy, 'iy_%i' % i)
2018-12-23 18:16:16 +01:00
area = model.NewIntVar(1, size_y * size_y, 'area_%i' % i)
model.AddProdEquality(area, [size, size])
areas.append(area)
2018-12-23 21:24:23 +01:00
x_intervals.append(interval_x)
y_intervals.append(interval_y)
2018-12-23 18:16:16 +01:00
sizes.append(size)
2018-12-23 21:24:23 +01:00
sxs.append(startx)
sys.append(starty)
2018-12-23 18:16:16 +01:00
model.AddNoOverlap2D(x_intervals, y_intervals)
model.AddCumulative(x_intervals, sizes, size_y)
model.AddCumulative(y_intervals, sizes, size_x)
model.Add(sum(areas) == size_x * size_y)
2018-12-23 18:43:35 +01:00
# Symmetry breaking 1: size are ordered.
2018-12-23 18:16:16 +01:00
for i in range(num_squares - 1):
model.Add(sizes[i] <= sizes[i + 1])
2018-12-23 18:43:35 +01:00
# Symmetry breaking 2: first square in one quadrant.
model.Add(sxs[0] < 36)
model.Add(sys[0] < 19)
2018-12-23 18:16:16 +01:00
# Creates a solver and solves.
solver = cp_model.CpSolver()
status = solver.Solve(model)
print(solver.StatusName(status), solver.WallTime(), 'ms')
2018-12-23 21:24:23 +01:00
if status == cp_model.FEASIBLE:
2018-12-23 18:16:16 +01:00
display = [[' ' for _ in range(size_x)] for _ in range(size_y)]
for i in range(num_squares):
x = solver.Value(sxs[i])
y = solver.Value(sys[i])
s = solver.Value(sizes[i])
2018-12-23 21:24:23 +01:00
c = format(i, '01x')
2018-12-23 18:16:16 +01:00
for j in range(s):
for k in range(s):
if display[y + j][x + k] != ' ':
print('ERROR between %s and %s' %
(display[y + j][x + k], c))
display[y + j][x + k] = c
for line in range(size_y):
2018-12-23 21:24:23 +01:00
print(' '.join(display[line]))
2018-12-23 18:16:16 +01:00
return status == cp_model.FEASIBLE
2018-12-23 21:24:23 +01:00
for num in range(1, 15):
print('Trying with size =', num)
if cover_rectangle(num):
2018-12-23 18:16:16 +01:00
break