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run pyformat on python examples

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Laurent Perron
2018-06-11 11:51:18 +02:00
parent 92433a8e5d
commit 72db1d9ef2
164 changed files with 3657 additions and 4210 deletions
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68
examples/python/assignment_with_constraints_sat.py
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@@ -13,39 +13,41 @@
from __future__ import print_function
from ortools.sat.python import cp_model
def main():
# Data.
cost = [[90, 76, 75, 70, 50, 74],
[35, 85, 55, 65, 48, 101],
[125, 95, 90, 105, 59, 120],
[45, 110, 95, 115, 104, 83],
[60, 105, 80, 75, 59, 62],
[45, 65, 110, 95, 47, 31],
[38, 51, 107, 41, 69, 99],
[47, 85, 57, 71, 92, 77],
[39, 63, 97, 49, 118, 56],
[47, 101, 71, 60, 88, 109],
[17, 39, 103, 64, 61, 92],
[101, 45, 83, 59, 92, 27]]
cost = [[90, 76, 75, 70, 50, 74], [35, 85, 55, 65, 48,
101], [125, 95, 90, 105, 59, 120],
[45, 110, 95, 115, 104, 83], [60, 105, 80, 75, 59, 62], [
45, 65, 110, 95, 47, 31
], [38, 51, 107, 41, 69, 99], [47, 85, 57, 71,
92, 77], [39, 63, 97, 49, 118, 56],
[47, 101, 71, 60, 88, 109], [17, 39, 103, 64, 61,
92], [101, 45, 83, 59, 92, 27]]
group1 = [[0, 0, 1, 1], # Workers 2, 3
[0, 1, 0, 1], # Workers 1, 3
[0, 1, 1, 0], # Workers 1, 2
[1, 1, 0, 0], # Workers 0, 1
[1, 0, 1, 0]] # Workers 0, 2
group1 = [
[0, 0, 1, 1], # Workers 2, 3
[0, 1, 0, 1], # Workers 1, 3
[0, 1, 1, 0], # Workers 1, 2
[1, 1, 0, 0], # Workers 0, 1
[1, 0, 1, 0]
] # Workers 0, 2
group2 = [[0, 0, 1, 1], # Workers 6, 7
[0, 1, 0, 1], # Workers 5, 7
[0, 1, 1, 0], # Workers 5, 6
[1, 1, 0, 0], # Workers 4, 5
[1, 0, 0, 1]] # Workers 4, 7
group3 = [[0, 0, 1, 1], # Workers 10, 11
[0, 1, 0, 1], # Workers 9, 11
[0, 1, 1, 0], # Workers 9, 10
[1, 0, 1, 0], # Workers 8, 10
[1, 0, 0, 1]] # Workers 8, 11
group2 = [
[0, 0, 1, 1], # Workers 6, 7
[0, 1, 0, 1], # Workers 5, 7
[0, 1, 1, 0], # Workers 5, 6
[1, 1, 0, 0], # Workers 4, 5
[1, 0, 0, 1]
] # Workers 4, 7
group3 = [
[0, 0, 1, 1], # Workers 10, 11
[0, 1, 0, 1], # Workers 9, 11
[0, 1, 1, 0], # Workers 9, 10
[1, 0, 1, 0], # Workers 8, 10
[1, 0, 0, 1]
] # Workers 8, 11
sizes = [10, 7, 3, 12, 15, 4, 11, 5]
total_size_max = 15
@@ -59,7 +61,8 @@ def main():
model = cp_model.CpModel()
# Variables
total_cost = model.NewIntVar(0, 1000, 'total_cost')
x = [[model.NewBoolVar('x[%i,%i]' % (i, j)) for j in all_tasks]
x = [[model.NewBoolVar('x[%i,%i]' % (i, j))
for j in all_tasks]
for i in all_workers]
works = [model.NewBoolVar('works[%i]' % i) for i in all_workers]
@@ -80,11 +83,12 @@ def main():
# Group constraints.
model.AddAllowedAssignments([works[0], works[1], works[2], works[3]], group1)
model.AddAllowedAssignments([works[4], works[5], works[6], works[7]], group2)
model.AddAllowedAssignments([works[8], works[9], works[10], works[11]], group3)
model.AddAllowedAssignments([works[8], works[9], works[10], works[11]],
group3)
# Total cost
model.Add(total_cost ==
sum(x[i][j] * cost[i][j] for j in all_tasks for i in all_workers))
model.Add(total_cost == sum(
x[i][j] * cost[i][j] for j in all_tasks for i in all_workers))
model.Minimize(total_cost)
# Solve and output solution.