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SRA.py
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__author__ = 'tpl'
import copy
# Get test data
# a list of parent objects
# import csv
# from Parent import Parent, Couple, SpousePreference
# with open('Parents.csv', mode='r') as infile:
# reader = csv.reader(infile)
# PARENTS = []
# for name, gender, course, college in reader:
# p = Parent(name, gender, college, course)
# p.set_child_preference('Close','Close')
# PARENTS.append(p)
#
# # check that we have even number of parents
# if len(PARENTS)%2 != 0:
# PARENTS.pop()
#
# # STEP 0: generate perference ranks
# for p in PARENTS:
# p.generate_spouse_ranks(PARENTS)
# print p.spouse_ranks
# # STEP 1: Make initial proposa
# CORE Stable Roommate Algorithm
# preferences = {
# 'a' : ['c','d','f','e','b'],
# 'b' : ['f','a','e','c','d'],
# 'c' : ['d','f','a','b','e'],
# 'd' : ['a','e','f','b','c'],
# 'e' : ['a','f','d','c','b'],
# 'f' : ['c','b','d','a','e']
# }
# preferences = {
# 'R' : ['P','B','O','T','G'],
# 'P' : ['O','G','R','B','T'],
# 'B' : ['O','T','P','R','G'],
# 'G' : ['R','B','T','P','O'],
# 'O' : ['R','P','G','T','B'],
# 'T' : ['P','R','G','B','O']
# }
# STEP 1: Initial Proposal
def _make_proposal(proposer, preferences, proposals, inverse_proposal):
# get the preferences of the proposer in question
proposer_list = preferences[proposer]
# who is his first choise
receiver = proposer_list[0]
if receiver in inverse_proposal:
# get rank of the two proposers
receiver_preferencelist = preferences[receiver]
old_proposer = inverse_proposal[receiver]
if receiver_preferencelist.index(proposer)<receiver_preferencelist.index(old_proposer):
# proposer succeeds! old proposer is displaced
proposals[proposer] = receiver
inverse_proposal[receiver] = proposer
assert preferences[old_proposer][0] == receiver
# old proposer tries his next choice
preferences[old_proposer].pop(0)
_make_proposal(old_proposer,preferences, proposals,inverse_proposal)
else:
# proposer tries his second choice
preferences[proposer].pop(0)
_make_proposal(proposer,preferences, proposals,inverse_proposal)
else:
proposals[proposer] = receiver
inverse_proposal[receiver] = proposer
return (proposals, inverse_proposal)
def _init_proposal(preferences):
proposals = {}
inverse_proposal = {}
for (proposer,proposer_list) in preferences.items():
# for each person, update the proposal and inverse proposal tables
(proposals, inverse_proposal) = _make_proposal(proposer, preferences, proposals,inverse_proposal)
return proposals
def _build_reducedlist(preferences, proposals):
# STEP 2: Construct a reduced list
reduced_list = preferences.copy()
for (p,q) in proposals.items():
index = reduced_list[q].index(p)
for i in range(index+1,len(reduced_list[q])):
list = reduced_list[q]
toberejected = reduced_list[q][i]
try:
reduced_list[toberejected].remove(q)
except ValueError:
pass
reduced_list[q] = reduced_list[q][:index+1]
return reduced_list
def _gotduplicate(a):
b = a[:]
while b:
for i in range(1,len(b)):
if b[0] ==b[i]:
return True
b = b[1:]
return False
def _finalize(reduced_list):
p = []
q = []
# find starting point
person = None
person_list = None
for (k,v) in reduced_list.items():
if len(v)>1:
person = k
person_list = v
p.append(k)
q.append(v[1])
break
if p:
while not _gotduplicate(p):
lastq = q[-1]
newp = reduced_list[lastq][-1]
p.append(newp)
newq = reduced_list[newp][1]
q.append(newq)
p.pop()
q.pop()
# cancelling
for i in range(len(p)-1):
a = q[i]
b = p[i+1]
reduced_list[q[i]].remove(p[i+1])
reduced_list[p[i+1]].remove(q[i])
return reduced_list
def stable_roommate_algo(preference):
proposals = _init_proposal(preference)
rl = _build_reducedlist(preference,proposals)
pairing = _finalize(rl)
return pairing
# print stable_roommate_algo(preferences)