def setup(self):
nmatches = len(self._schema_out) * (len(self._schema_out) - 1) // 2
self._matches = []
for r in range(0, nmatches):
m = Match(self._num)
self._matches.append(m)
m.add_parent(self)
def setup(self):
nmatches = len(self._schema_out) * (len(self._schema_out) - 1) // 2
self._matches = []
for r in range(0, nmatches):
m = Match(self._num)
self._matches.append(m)
m.add_parent(self)
def set_players(self, players):
self._pla = players[:len(players)/2]
self._plb = players[len(players)/2:]
self._nplayers = len(self._pla)
self._matches = []
for i in range(0,self._nplayers):
m = Match(self._num)
m.set_players([self._pla[i], self._plb[i]])
self._matches.append(m)
def __init__(self, dbpl=None, bos=None, s1=None, s2=None):
if dbpl is None:
return
sipl = [make_player(p) for p in dbpl]
num = bos[0]
obj = MatchSim(num)
obj.set_players(sipl)
obj.modify(self.range(int(s1), 0, num), self.range(int(s2), 0, num))
obj.compute()
self.dbpl = dbpl
self.bos = bos
self.sipl = sipl
self.num = num
self.obj = obj
self.pla, self.plb = dbpl[0], dbpl[1]
self.rta = sipl[0].elo_vs_opponent(sipl[1])
self.rtb = sipl[1].elo_vs_opponent(sipl[0])
self.proba = obj.get_tally()[sipl[0]][1]
self.probb = obj.get_tally()[sipl[1]][1]
self.sca = s1
self.scb = s2
self.outcomes = [
{'sca': outcome[1], 'scb': outcome[2], 'prob': outcome[0]}
for outcome in obj.instances_detail()
]
def __init__(self, dbpl=None, bos=None, s1=None, s2=None):
if dbpl is None:
return
sipl = [make_player(p) for p in dbpl]
num = bos[0]
obj = MatchSim(num)
obj.set_players(sipl)
obj.modify(self.range(int(s1), 0, num), self.range(int(s2), 0, num))
obj.compute()
self.dbpl = dbpl
self.bos = bos
self.sipl = sipl
self.num = num
self.obj = obj
self.pla, self.plb = dbpl[0], dbpl[1]
self.rta = sipl[0].elo_vs_opponent(sipl[1])
self.rtb = sipl[1].elo_vs_opponent(sipl[0])
self.proba = obj.get_tally()[sipl[0]][1]
self.probb = obj.get_tally()[sipl[1]][1]
self.sca = s1
self.scb = s2
self.outcomes = [{
'sca': outcome[1],
'scb': outcome[2],
'prob': outcome[0]
} for outcome in obj.instances_detail()]
def set_players(self, players):
self._pla = players[:len(players) // 2]
self._plb = players[len(players) // 2:]
self._nplayers = len(self._pla)
self._numw = self._nplayers // 2 + 1
self._nums = (self._nplayers - 1) // 2
self._matches = []
for i in range(0, self._nplayers):
m = Match(self._num)
m.set_players([self._pla[i], self._plb[i]])
self._matches.append(m)
def compute(self):
N = 1000
self._tally = [Tally(2), Tally(2)]
self._matches = []
for i in range(0,7):
m = Match(self._num)
m.set_players([self._pla[i], self._plb[i]])
m.compute()
self._matches.append(m)
for i in range(0,N):
self.compute_inst(1.0/N)
def setup(self):
self._matches = dict()
self._bracket = []
prev_round = None
this_round = []
for r in range(0, len(self._num)):
for i in range(0, 2**(len(self._num)-1-r)):
m = Match(self._num[r])
this_round.append(m)
m.add_parent(self)
if prev_round != None:
prev_round[2*i].add_winner_link(m, 0)
prev_round[2*i+1].add_winner_link(m, 1)
self._matches['Round ' + str(r+1)] = this_round
self._bracket.append(this_round)
prev_round = this_round
this_round = []
def setup(self):
self._matches = dict()
self._bracket = []
prev_round = None
this_round = []
for r in range(0, len(self._num)):
for i in range(0, 2**(len(self._num) - 1 - r)):
m = Match(self._num[r])
this_round.append(m)
m.add_parent(self)
if prev_round != None:
prev_round[2 * i].add_winner_link(m, 0)
prev_round[2 * i + 1].add_winner_link(m, 1)
self._matches['Round ' + str(r + 1)] = this_round
self._bracket.append(this_round)
prev_round = this_round
this_round = []
def setup(self):
self._first = [Match(self._num), Match(self._num)]
self._second = [Match(self._num), Match(self._num)]
self._final = Match(self._num)
self._matches = self._first + self._second + [self._final]
self._first[0].add_winner_link(self._second[0], 0)
self._first[0].add_loser_link(self._second[1], 0)
self._first[0].add_parent(self)
self._first[1].add_winner_link(self._second[0], 1)
self._first[1].add_loser_link(self._second[1], 1)
self._first[1].add_parent(self)
self._second[0].add_loser_link(self._final, 0)
self._second[0].add_parent(self)
self._second[1].add_winner_link(self._final, 1)
self._second[1].add_parent(self)
self._final.add_parent(self)
def compute_match(self, pla, plb, base):
obj = Match(self._num)
obj.set_players([pla[0], plb[0]])
obj.compute()
inst = obj.random_instance_detail(new=True)
if inst[1] > inst[2]:
plb = plb[1:]
else:
pla = pla[1:]
if len(plb) != 0 and len(pla) != 0:
self.compute_match(pla, plb, base)
elif len(plb) == 0:
self._tally[0][1] += base
self._tally[1][0] += base
else:
self._tally[1][1] += base
self._tally[0][0] += base
def setup(self):
self._first = [Match(self._num), Match(self._num)]
self._second = [Match(self._num), Match(self._num)]
self._final = Match(self._num)
self._matches = self._first + self._second + [self._final]
self._first[0].add_winner_link(self._second[0], 0)
self._first[0].add_loser_link(self._second[1], 0)
self._first[0].add_parent(self)
self._first[1].add_winner_link(self._second[0], 1)
self._first[1].add_loser_link(self._second[1], 1)
self._first[1].add_parent(self)
self._second[0].add_loser_link(self._final, 0)
self._second[0].add_parent(self)
self._second[1].add_winner_link(self._final, 1)
self._second[1].add_parent(self)
self._final.add_parent(self)
def compute_match(self, pla, plb, base):
obj = Match(self._num)
obj.set_players([pla[0], plb[0]])
obj.compute()
inst = obj.random_instance_detail(new=True)
if inst[1] > inst[2]:
plb = plb[1:]
else:
pla = pla[1:]
if len(plb) != 0 and len(pla) != 0:
self.compute_match(pla, plb, base)
elif len(plb) == 0:
self._tally[0][1] += base
self._tally[1][0] += base
else:
self._tally[1][1] += base
self._tally[0][0] += base
class MSLGroup(Composite):
def __init__(self, num):
self._num = num
Composite.__init__(self, [1]*4, [1]*4)
def setup(self):
self._first = [Match(self._num), Match(self._num)]
self._second = [Match(self._num), Match(self._num)]
self._final = Match(self._num)
self._matches = self._first + self._second + [self._final]
self._first[0].add_winner_link(self._second[0], 0)
self._first[0].add_loser_link(self._second[1], 0)
self._first[0].add_parent(self)
self._first[1].add_winner_link(self._second[0], 1)
self._first[1].add_loser_link(self._second[1], 1)
self._first[1].add_parent(self)
self._second[0].add_loser_link(self._final, 0)
self._second[0].add_parent(self)
self._second[1].add_winner_link(self._final, 1)
self._second[1].add_parent(self)
self._final.add_parent(self)
def get_match(self, key):
key = key.split(' ')[0]
if key.lower() == 'first':
return self._first[0]
elif key.lower() == 'second':
return self._first[1]
elif key.lower() == 'winners':
return self._second[0]
elif key.lower() == 'losers':
return self._second[1]
elif key.lower() == 'final':
return self._final
else:
raise Exception('No such match found \'' + key + '\'')
def should_use_mc(self):
return False
def fill(self):
self._first[0].set_players(self._players[:2])
self._first[1].set_players(self._players[2:])
def tally_maker(self):
return Tally(len(self._schema_out), self._players)
def compute_mc(self):
self.compute_exact()
def compute_exact(self):
for m in self._first:
m.compute_partial()
for (if0, if1) in itertools.product(self._first[0].instances(),\
self._first[1].instances()):
base_f = if0[0] * if1[0]
if0[2].broadcast_instance(if0)
if1[2].broadcast_instance(if1)
for m in self._second:
m.compute_partial()
for (is0, is1) in itertools.product(self._second[0].instances(),\
self._second[1].instances()):
base_s = base_f * is0[0] * is1[0]
is0[2].broadcast_instance(is0)
is1[2].broadcast_instance(is1)
self._final.compute_partial()
for ifin in self._final.instances():
prob = base_s * ifin[0]
self._tally[is1[1][0]][0] += prob
self._tally[ifin[1][0]][1] += prob
self._tally[ifin[1][1]][2] += prob
self._tally[is0[1][1]][3] += prob
self._tally[is0[1][1]].pairs[ifin[1][1]] += prob
def detail(self, strings):
tally = self._tally
out = strings['detailheader']
out += strings['ptabletitle'].format(title='Detailed placement probabilities')
out += strings['ptableheader']
for h in ['4th', '3rd', '2nd', '1st']:
out += strings['ptableheading'].format(heading=h)
for p in self._players:
if p.name == 'BYE':
continue
out += '\n' + strings['ptablename'].format(player=p.name)
for i in tally[p]:
if i > 1e-10:
out += strings['ptableentry'].format(prob=100*i)
else:
out += strings['ptableempty']
out += strings['ptablebetween']
out += strings['ptabletitle'].format(title='Probability of each pair advancing')
out += strings['ptableheader']
for p in self._players:
if p.name != 'BYE':
out += strings['ptableheading'].format(heading=p.name[:7])
for p in self._players:
if p.name == 'BYE':
continue
out += '\n' + strings['ptablename'].format(player=p.name)
for q in self._players:
if q.name == 'BYE':
continue
if p != q and tally[p].pairs[q] >= 1e-10:
out += strings['ptableentry'].format(prob=100*tally[p].pairs[q])
else:
out += strings['ptableempty']
out += strings['detailfooter']
return out
def summary(self, strings, title=None):
tally = self._tally
if title == None:
title = 'MSL-style four-player group'
out = strings['header'].format(title=title)
players = sorted(self._players, key=lambda a: sum(tally[a][2:]),\
reverse=True)
for p in players:
if sum(tally[p][2:]) > 1e-10 and p.name != 'BYE':
out += strings['mslgplayer'].format(player=p.name,\
prob=100*sum(tally[p][2:]))
out += strings['nomimage']
out += strings['footer'].format(title=title)
return out
class MSLGroup(Composite):
def __init__(self, num):
self._num = num
Composite.__init__(self, [1] * 4, [1] * 4)
def setup(self):
self._first = [Match(self._num), Match(self._num)]
self._second = [Match(self._num), Match(self._num)]
self._final = Match(self._num)
self._matches = self._first + self._second + [self._final]
self._first[0].add_winner_link(self._second[0], 0)
self._first[0].add_loser_link(self._second[1], 0)
self._first[0].add_parent(self)
self._first[1].add_winner_link(self._second[0], 1)
self._first[1].add_loser_link(self._second[1], 1)
self._first[1].add_parent(self)
self._second[0].add_loser_link(self._final, 0)
self._second[0].add_parent(self)
self._second[1].add_winner_link(self._final, 1)
self._second[1].add_parent(self)
self._final.add_parent(self)
def get_match(self, key):
key = key.split(' ')[0]
if key.lower() == '1':
return self._first[0]
elif key.lower() == '2':
return self._first[1]
elif key.lower() == 'w':
return self._second[0]
elif key.lower() == 'l':
return self._second[1]
elif key.lower() == 'f':
return self._final
else:
raise Exception('No such match found \'' + key + '\'')
def should_use_mc(self):
return False
def fill(self):
self._first[0].set_players(self._players[:2])
self._first[1].set_players(self._players[2:])
def tally_maker(self):
return Tally(len(self._schema_out), self._players)
def compute_mc(self):
self.compute_exact()
def compute_exact(self):
for m in self._first:
m.compute_partial()
for (if0, if1) in itertools.product(self._first[0].instances(),\
self._first[1].instances()):
base_f = if0[0] * if1[0]
if0[2].broadcast_instance(if0)
if1[2].broadcast_instance(if1)
for m in self._second:
m.compute_partial()
for (is0, is1) in itertools.product(self._second[0].instances(),\
self._second[1].instances()):
base_s = base_f * is0[0] * is1[0]
is0[2].broadcast_instance(is0)
is1[2].broadcast_instance(is1)
self._final.compute_partial()
for ifin in self._final.instances():
prob = base_s * ifin[0]
self._tally[is1[1][0]][0] += prob
self._tally[ifin[1][0]][1] += prob
self._tally[ifin[1][1]][2] += prob
self._tally[is0[1][1]][3] += prob
self._tally[is0[1][1]].pairs[ifin[1][1]] += prob
def detail(self, strings):
tally = self._tally
out = strings['detailheader']
out += strings['ptabletitle'].format(
title='Detailed placement probabilities')
out += strings['ptableheader']
for h in ['4th', '3rd', '2nd', '1st']:
out += strings['ptableheading'].format(heading=h)
for p in self._players:
if p.name == 'BYE':
continue
out += '\n' + strings['ptablename'].format(player=p.name)
for i in tally[p]:
if i > 1e-10:
out += strings['ptableentry'].format(prob=100 * i)
else:
out += strings['ptableempty']
out += strings['ptablebetween']
out += strings['ptabletitle'].format(
title='Probability of each pair advancing')
out += strings['ptableheader']
for p in self._players:
if p.name != 'BYE':
out += strings['ptableheading'].format(heading=p.name[:7])
for p in self._players:
if p.name == 'BYE':
continue
out += '\n' + strings['ptablename'].format(player=p.name)
for q in self._players:
if q.name == 'BYE':
continue
if p != q and tally[p].pairs[q] >= 1e-10:
out += strings['ptableentry'].format(prob=100 *
tally[p].pairs[q])
else:
out += strings['ptableempty']
out += strings['detailfooter']
return out
def summary(self, strings, title=None):
tally = self._tally
if title == None:
title = 'MSL-style four-player group'
out = strings['header'].format(title=title)
players = sorted(self._players, key=lambda a: sum(tally[a][2:]),\
reverse=True)
for p in players:
if sum(tally[p][2:]) > 1e-10 and p.name != 'BYE':
out += strings['mslgplayer'].format(player=p.name,\
prob=100*sum(tally[p][2:]))
out += strings['nomimage']
out += strings['footer'].format(title=title)
return out
def match(request):
base = base_ctx('Inference', 'Predict', request=request)
# {{{ Get data, set up and simulate
form = SetupForm(request.GET)
if not form.is_valid():
return redirect('/inference/')
num = form.cleaned_data['bo'][0]
dbpl = form.cleaned_data['ps']
sipl = [make_player(p) for p in dbpl]
match = MatchSim(num)
match.set_players(sipl)
match.modify(
get_param_range(request, 's1', (0, num), 0),
get_param_range(request, 's2', (0, num), 0),
)
match.compute()
# }}}
# {{{ Postprocessing
base.update({
'form': form,
'dbpl': dbpl,
'rta': sipl[0].elo_vs_opponent(sipl[1]),
'rtb': sipl[1].elo_vs_opponent(sipl[0]),
'proba': match.get_tally()[sipl[0]][1],
'probb': match.get_tally()[sipl[1]][1],
'match': match,
})
base.update({
'max': max(base['proba'], base['probb']),
'fav': dbpl[0] if base['proba'] > base['probb'] else dbpl[1],
})
resa, resb = [], []
outcomes = [
{'sca': outcome[1], 'scb': outcome[2], 'prob': outcome[0]}
for outcome in match.instances_detail()
]
resa = [oc for oc in outcomes if oc['sca'] > oc['scb']]
resb = [oc for oc in outcomes if oc['scb'] > oc['sca']]
if len(resa) < len(resb):
resa = [None] * (len(resb) - len(resa)) + resa
else:
resb = [None] * (len(resa) - len(resb)) + resb
base['res'] = list(zip(resa, resb))
# }}}
# {{{ Scores and other data
thr = date.today() - relativedelta(months=2)
pla_matches = dbpl[0].get_matchset()
plb_matches = dbpl[1].get_matchset()
base['tot_w_a'], base['tot_l_a'] = count_winloss_player(pla_matches, dbpl[0])
base['frm_w_a'], base['frm_l_a'] = count_winloss_player(pla_matches.filter(date__gte=thr), dbpl[0])
base['tot_w_b'], base['tot_l_b'] = count_winloss_player(plb_matches, dbpl[1])
base['frm_w_b'], base['frm_l_b'] = count_winloss_player(plb_matches.filter(date__gte=thr), dbpl[1])
if dbpl[1].race in 'PTZ':
base['mu_w_a'], base['mu_l_a'] = count_matchup_player(pla_matches, dbpl[0], dbpl[1].race)
base['fmu_w_a'], base['fmu_l_a'] = count_matchup_player(
pla_matches.filter(date__gte=thr), dbpl[0], dbpl[1].race
)
if dbpl[0].race in 'PTZ':
base['mu_w_b'], base['mu_l_b'] = count_matchup_player(plb_matches, dbpl[1], dbpl[0].race)
base['fmu_w_b'], base['fmu_l_b'] = count_matchup_player(
plb_matches.filter(date__gte=thr), dbpl[1], dbpl[0].race
)
wa_a, wb_a = count_winloss_games(Match.objects.filter(pla=dbpl[0], plb=dbpl[1]))
wb_b, wa_b = count_winloss_games(Match.objects.filter(pla=dbpl[1], plb=dbpl[0]))
base['vs_a'] = wa_a + wa_b
base['vs_b'] = wb_a + wb_b
base['matches'] = display_matches(
Match.objects.filter(Q(pla=dbpl[0], plb=dbpl[1]) | Q(plb=dbpl[0], pla=dbpl[1]))
.select_related('period', 'pla', 'plb')
.order_by('-date', 'id'),
fix_left=dbpl[0],
)
# }}}
postable_match(base, request)
base.update({"title": "{} vs. {}".format(dbpl[0].tag, dbpl[1].tag)})
return render_to_response('pred_match.html', base)