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Rename stuff to patient/therapist

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Sam Al-Sapti 2023-05-01 14:37:00 +02:00 committed by Sam Al-Sapti
parent ea6cf3cab9
commit 58c7c2857b
Signed by: samsapti
GPG key ID: CBBBE7371E81C4EA
1 changed files with 42 additions and 42 deletions
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84
src/gale_shapley.mpc
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@ -17,31 +17,31 @@ class Matchmaker:
ABN 41 687 119 230, published under the BSD 3-Clause Licence
"""
def engage(self, patient, therapist, for_real):
self.wives.access(patient, therapist, for_real)
self.husbands.access(therapist, patient, for_real)
def pair(self, patient, therapist, for_real):
self.paired_therapists.access(patient, therapist, for_real)
self.paired_patients.access(therapist, patient, for_real)
def dump(self, patient, therapist, for_real):
self.wives.delete(patient, for_real)
self.husbands.delete(therapist, for_real)
self.unengaged.append(patient, for_real)
def unpair(self, patient, therapist, for_real):
self.paired_therapists.delete(patient, for_real)
self.paired_patients.delete(therapist, for_real)
self.unpaired.append(patient, for_real)
def propose(self, patient, therapist, for_real):
(fiance,), free = self.husbands.read(therapist)
engaged = 1 - free
rank_man = self.t_exps[therapist][patient]
(rank_fiance,), worst_fiance = self.t_exps[therapist].read(engaged*fiance)
leaving = self.int_type(rank_man) < self.int_type(rank_fiance)
def request_therapist(self, patient, therapist, for_real):
(requested_therapist,), free = self.paired_patients.read(therapist)
paired = 1 - free
rank_patient = self.t_exps[therapist][patient]
(rank_requested_therapist,), worst_therapist = self.t_exps[therapist].read(paired*requested_therapist)
leaving = self.int_type(rank_patient) < self.int_type(rank_requested_therapist)
if self.M < self.N:
leaving = 1 - (1 - leaving) * (1 - worst_fiance)
print_str('woman: %s, man: %s, fiance: %s, worst fiance: %s, ',
*(x.reveal() for x in (therapist, patient, fiance, worst_fiance)))
print_ln('rank man: %s, rank fiance: %s, engaged: %s, leaving: %s',
leaving = 1 - (1 - leaving) * (1 - worst_therapist)
print_str('therapist: %s, patient: %s, requested therapist: %s, worst therapist: %s, ',
*(x.reveal() for x in (therapist, patient, requested_therapist, worst_therapist)))
print_ln('rank patient: %s, rank requested therapist: %s, paired: %s, leaving: %s',
*(x.reveal() for x in
(rank_man, rank_fiance, engaged, leaving)))
self.dump(fiance, therapist, engaged * leaving * for_real)
self.engage(patient, therapist, (1 - (engaged * (1 - leaving))) * for_real)
self.unengaged.append(patient, engaged * (1 - leaving) * for_real)
(rank_patient, rank_requested_therapist, paired, leaving)))
self.unpair(requested_therapist, therapist, paired * leaving * for_real)
self.pair(patient, therapist, (1 - (paired * (1 - leaving))) * for_real)
self.unpaired.append(patient, paired * (1 - leaving) * for_real)
def match(self, n_loops=None):
if n_loops is None or n_loops > self.N * self.M:
@ -50,45 +50,45 @@ class Matchmaker:
else:
loop = for_range(n_loops)
init_rounds = n_loops / self.M
self.wives = \
self.paired_therapists = \
self.oram_type(self.N, entry_size=log2(self.N),
init_rounds=0, value_type=self.basic_type)
self.husbands = \
self.paired_patients = \
self.oram_type(self.N, entry_size=log2(self.N),
init_rounds=0, value_type=self.basic_type)
propose = \
request_therapist = \
self.oram_type(self.N, entry_size=log2(self.N),
init_rounds=0, value_type=self.basic_type)
self.unengaged = OStack(self.N, oram_type=self.oram_type,
self.unpaired = OStack(self.N, oram_type=self.oram_type,
int_type=self.int_type)
@for_range(init_rounds)
def f(i):
self.unengaged.append(i)
def _(i):
self.unpaired.append(i)
rounds = types.MemValue(types.regint(0))
@loop
def f(i=None):
def _(i=None):
rounds.iadd(1)
time()
patient = self.unengaged.pop()
pref = self.int_type(propose[patient])
patient = self.unpaired.pop()
pref = self.int_type(request_therapist[patient])
if self.M < self.N and n_loops is None:
@if_((pref == self.M).reveal())
def f():
print_ln('run out of acceptable women')
def _():
print_ln('run out of acceptable therapists')
crash()
propose[patient] = pref + 1
self.propose(patient, self.p_cases[patient][pref], True)
print_ln('man: %s, pref: %s, left: %s',
*(x.reveal() for x in (patient, pref, self.unengaged.size)))
return types.regint((self.unengaged.size > 0).reveal())
request_therapist[patient] = pref + 1
self.request_therapist(patient, self.p_cases[patient][pref], True)
print_ln('patient: %s, pref: %s, left: %s',
*(x.reveal() for x in (patient, pref, self.unpaired.size)))
return types.regint((self.unpaired.size > 0).reveal())
print_ln('%s rounds', rounds)
@for_range(init_rounds)
def f(i):
types.cint(i).print_reg('wife')
self.husbands[i].reveal().print_reg('husb')
def _(i):
types.cint(i).print_reg('ther')
self.paired_patients[i].reveal().print_reg('pati')
def __init__(self, N, p_cases, t_exps, M=1, reverse=False,
oram_type=OptimalORAM, int_type=types.sint):
@ -111,8 +111,8 @@ MATCHING_SIZE = 2
""" Assembling lists """
p_shares = Matrix(rows=PLAYERS, columns=MATCHING_SIZE, value_type=sint)
t_shares = Matrix(rows=PLAYERS, columns=MATCHING_SIZE, value_type=sint)
p_shares = Matrix(rows=PLAYERS, columns=MATCHING_SIZE, value_type=types.sint)
t_shares = Matrix(rows=PLAYERS, columns=MATCHING_SIZE, value_type=types.sint)
# Fill data from players into the patient matrix
# The matrix is ordered as m[row:player][col:share]