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._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 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 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 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)