examples/notebook/contrib/secret_santa2.ipynb
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First, you must install ortools package in this colab.
%pip install ortools
Secret Santa problem II in Google CP Solver.
From Maple Primes: 'Secret Santa Graph Theory' http://www.mapleprimes.com/blog/jpmay/secretsantagraphtheory ''' Every year my extended family does a 'secret santa' gift exchange. Each person draws another person at random and then gets a gift for them. At first, none of my siblings were married, and so the draw was completely random. Then, as people got married, we added the restriction that spouses should not draw each others names. This restriction meant that we moved from using slips of paper on a hat to using a simple computer program to choose names. Then people began to complain when they would get the same person two years in a row, so the program was modified to keep some history and avoid giving anyone a name in their recent history. This year, not everyone was participating, and so after removing names, and limiting the number of exclusions to four per person, I had data something like this:
Name: Spouse, Recent Picks
Noah: Ava. Ella, Evan, Ryan, John Ava: Noah, Evan, Mia, John, Ryan Ryan: Mia, Ella, Ava, Lily, Evan Mia: Ryan, Ava, Ella, Lily, Evan Ella: John, Lily, Evan, Mia, Ava John: Ella, Noah, Lily, Ryan, Ava Lily: Evan, John, Mia, Ava, Ella Evan: Lily, Mia, John, Ryan, Noah '''
Note: I interpret this as the following three constraints: 1) One cannot be a Secret Santa of one's spouse 2) One cannot be a Secret Santa for somebody two years in a row 3) Optimization: maximize the time since the last time
This model also handle single persons, something the original problem don't mention.
Compare with the following models:
This model was created by Hakan Kjellerstrand ([email protected]) Also see my other Google CP Solver models: http://www.hakank.org/google_or_tools/
import sys
from ortools.constraint_solver import pywrapcp
def main(singe=0):
# Create the solver.
solver = pywrapcp.Solver('Secret Santa problem II')
#
# data
#
#
# The matrix version of earlier rounds.
# M means that no earlier Santa has been assigned.
# Note: Ryan and Mia has the same recipient for years 3 and 4,
# and Ella and John has for year 4.
# This seems to be caused by modification of
# original data.
#
n_no_single = 8
M = n_no_single + 1
rounds_no_single = [
# N A R M El J L Ev
[0, M, 3, M, 1, 4, M, 2], # Noah
[M, 0, 4, 2, M, 3, M, 1], # Ava
[M, 2, 0, M, 1, M, 3, 4], # Ryan
[M, 1, M, 0, 2, M, 3, 4], # Mia
[M, 4, M, 3, 0, M, 1, 2], # Ella
[1, 4, 3, M, M, 0, 2, M], # John
[M, 3, M, 2, 4, 1, 0, M], # Lily
[4, M, 3, 1, M, 2, M, 0] # Evan
]
#
# Rounds with a single person (fake data)
#
n_with_single = 9
M = n_with_single + 1
rounds_single = [
# N A R M El J L Ev S
[0, M, 3, M, 1, 4, M, 2, 2], # Noah
[M, 0, 4, 2, M, 3, M, 1, 1], # Ava
[M, 2, 0, M, 1, M, 3, 4, 4], # Ryan
[M, 1, M, 0, 2, M, 3, 4, 3], # Mia
[M, 4, M, 3, 0, M, 1, 2, M], # Ella
[1, 4, 3, M, M, 0, 2, M, M], # John
[M, 3, M, 2, 4, 1, 0, M, M], # Lily
[4, M, 3, 1, M, 2, M, 0, M], # Evan
[1, 2, 3, 4, M, 2, M, M, 0] # Single
]
if single == 1:
n = n_with_single
Noah, Ava, Ryan, Mia, Ella, John, Lily, Evan, Single = list(range(n))
rounds = rounds_single
else:
n = n_no_single
Noah, Ava, Ryan, Mia, Ella, John, Lily, Evan = list(range(n))
rounds = rounds_no_single
M = n + 1
persons = [
'Noah', 'Ava', 'Ryan', 'Mia', 'Ella', 'John', 'Lily', 'Evan', 'Single'
]
spouses = [
Ava, # Noah
Noah, # Ava
Mia, # Rya
Ryan, # Mia
John, # Ella
Ella, # John
Evan, # Lily
Lily, # Evan
-1 # Single has no spouse
]
#
# declare variables
#
santas = [solver.IntVar(0, n - 1, 'santas[%i]' % i) for i in range(n)]
santa_distance = [
solver.IntVar(0, M, 'santa_distance[%i]' % i) for i in range(n)
]
# total of 'distance', to maximize
z = solver.IntVar(0, n * n * n, 'z')
#
# constraints
#
solver.Add(solver.AllDifferent(santas))
solver.Add(z == solver.Sum(santa_distance))
# Can't be one own's Secret Santa
# (i.e. ensure that there are no fix-point in the array.)
for i in range(n):
solver.Add(santas[i] != i)
# no Santa for a spouses
for i in range(n):
if spouses[i] > -1:
solver.Add(santas[i] != spouses[i])
# optimize 'distance' to earlier rounds:
for i in range(n):
solver.Add(santa_distance[i] == solver.Element(rounds[i], santas[i]))
# cannot be a Secret Santa for the same person
# two years in a row.
for i in range(n):
for j in range(n):
if rounds[i][j] == 1:
solver.Add(santas[i] != j)
# objective
objective = solver.Maximize(z, 1)
#
# solution and search
#
db = solver.Phase(santas, solver.CHOOSE_MIN_SIZE_LOWEST_MIN,
solver.ASSIGN_CENTER_VALUE)
solver.NewSearch(db, [objective])
num_solutions = 0
while solver.NextSolution():
num_solutions += 1
print('total distances:', z.Value())
print('santas:', [santas[i].Value() for i in range(n)])
for i in range(n):
print('%s\tis a Santa to %s (distance %i)' % \
(persons[i],
persons[santas[i].Value()],
santa_distance[i].Value()))
# print 'distance:', [santa_distance[i].Value()
# for i in range(n)]
print()
print('num_solutions:', num_solutions)
print('failures:', solver.Failures())
print('branches:', solver.Branches())
print('WallTime:', solver.WallTime(), 'ms')
single = 0
print('Secret Santas without single')
main(single)
print('\nSecret Santas with single:')
single = 1
main(single)