March | infeasibilities
This commit is contained in:
martin
parent
e32e3f707e
commit
75d686188d
@ -1023,6 +1023,7 @@ class Draw_Simulator:
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travel = defaultdict(lambda:0)
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coefficients = defaultdict(lambda:0)
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visited_countries = defaultdict(lambda:set({}))
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visited_finland = defaultdict(lambda:0)
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if not infeasible:
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for g in self.groups:
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for p in self.pots:
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@ -1037,6 +1038,8 @@ class Draw_Simulator:
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else:
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coefficients[t1['id']] += abs(t1['coeff']-t2['coeff'])
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visited_countries[t1['id']].add(t2['country'])
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if t2['country'] == 'FIN':
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visited_finland[t1['id']] += 1
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# blockings, breaks = self.create_schedule(sol_dict, n)
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@ -1057,6 +1060,7 @@ class Draw_Simulator:
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'visited_countries':{t['id']:len(visited_countries[t['id']]) for t in self.teams},
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'blockings':blockings,
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'breaks':breaks,
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'visited_finland':visited_finland,
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}
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with open(f'json/{self.opponent_func.__name__}_{n}.json', 'w') as f:
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@ -1108,6 +1112,16 @@ class Draw_Simulator:
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'mean': round(np.mean([visited_countries[t['id']]['mean'] for t in self.teams]),2),
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}
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visited_finland = {
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t['id']: {
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'sum': np.sum([1 for s in tmp_stats.values() if s['visited_finland'][t['id']] >= 4]),
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}
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for t in self.teams
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}
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visited_finland['total'] = {
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'sum': np.sum([visited_finland[t['id']]['sum'] for t in self.teams]),
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}
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blockings = {
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t['id']: {
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'mean': round(np.mean([s['blockings'][t['id']] for s in tmp_stats.values()]),3),
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@ -1118,7 +1132,6 @@ class Draw_Simulator:
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'sum': round(np.sum([blockings[t['id']]['mean'] for t in self.teams]),3),
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}
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breaks = {
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t['id']: {
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'mean': round(np.mean([s['breaks'][t['id']] for s in tmp_stats.values()])*0.5,3),
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@ -1139,6 +1152,7 @@ class Draw_Simulator:
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'travel_stats':travel_stats,
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'coefficient_stats':coefficient_stats,
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'visited_countries':visited_countries,
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'visited_finland':visited_finland,
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'blockings':blockings,
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'breaks':breaks,
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}
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@ -1163,7 +1177,7 @@ class Draw_Simulator:
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base_scenario = Scenario.objects.get(id=base_scenario_id)
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scenario = copy_scenario(base_scenario,f" - {self.opponent_func.__name__} - {nSim}")
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scenario.base_scenario = base_scenario
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# scenario.base_scenario = base_scenario
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scenario.save()
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@ -1286,13 +1300,13 @@ funcs = [
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scenario_id = 9529
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scenario = Scenario.objects.get(id=scenario_id)
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Scenario.objects.filter(base_scenario=scenario).delete()
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# Scenario.objects.filter(base_scenario=scenario).delete()
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stats = {}
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for func in funcs:
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simulator = Draw_Simulator(algorithm='XP', opponent_func = func, html_output=True,use_db=True)
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nSim = 5
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nSim = 1000
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stats[func.__name__] = simulator.simulate(nSim)
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@ -1314,14 +1328,14 @@ sol += "<table style='border:1px solid black'>\n"
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sol += "<thead>\n"
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sol += f"<tr><td rowspan='4'>n={nSim}</td>"
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sol += f"<td colspan='{len(simulator.pots)}'>Conflicts</td>"
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sol += f"<td colspan='8' rowspan='2'>Total</td>"
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sol += f"<td colspan='{5*len(simulator.teams)}'>Teams</td>"
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sol += f"<td colspan='9' rowspan='2'>Total</td>"
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sol += f"<td colspan='{7*len(simulator.teams)}'>Teams</td>"
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sol += "</tr>"
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sol += "<tr>"
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for p in simulator.pots:
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sol += f"<td rowspan='3'>{p}</td>"
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for t in simulator.teams:
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sol+= f"<td colspan='7'>{t['name']}</td>"
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sol+= f"<td colspan='8'>{t['name']} ({t['country']})</td>"
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sol += "</tr>"
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sol += "<tr>"
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sol += "<td colspan='1' rowspan='2'>Cfl.</td>"
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@ -1330,12 +1344,14 @@ sol += "<td colspan='2'>Coe.</td>"
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sol += "<td colspan='1' rowspan='2'>Block</td>"
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sol += "<td colspan='1' rowspan='2'>No Travel</td>"
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sol += "<td colspan='1' rowspan='2'>Countr.</td>"
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sol += "<td colspan='1' rowspan='2'>Finland.</td>"
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for t in simulator.teams:
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sol += "<td colspan='2' rowspan='1'>Trav.</td>"
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sol += "<td colspan='2' rowspan='1'>Coe.</td>"
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sol += "<td colspan='1' rowspan='2'>Block</td>"
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sol += "<td colspan='1' rowspan='2'>No Travel</td>"
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sol += "<td colspan='1' rowspan='2'>Countr.</td>"
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sol += "<td colspan='1' rowspan='2'>Finland.</td>"
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sol += "</tr>"
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sol += "<tr>"
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sol += "<td>M</td>"
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@ -1367,6 +1383,7 @@ for func in funcs:
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sol += f"<td>{stats[func.__name__]['blockings']['total']['sum']}</td>"
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sol += f"<td>{stats[func.__name__]['breaks']['total']['sum']}</td>"
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sol += f"<td>{stats[func.__name__]['visited_countries']['total']['mean']}</td>"
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sol += f"<td>{stats[func.__name__]['visited_finland']['total']['sum']}</td>"
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for t in simulator.teams:
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tmean = stats[func.__name__]['travel_stats'][t['id']]['mean']
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tstd = stats[func.__name__]['travel_stats'][t['id']]['std']
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@ -1375,6 +1392,7 @@ for func in funcs:
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blmean = stats[func.__name__]['blockings'][t['id']]['mean']
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brmean = stats[func.__name__]['breaks'][t['id']]['mean']
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visited = stats[func.__name__]['visited_countries'][t['id']]['mean']
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visited_finland = stats[func.__name__]['visited_finland'][t['id']]['sum']
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color = Draw_Simulator.heatmap_color_for(abs(tmean-ttmean)/ttmean)
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sol += f"<td style='background-color:{color}'>{tmean}</td>"
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color = Draw_Simulator.heatmap_color_for(abs(tstd-ttstd)/ttstd)
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@ -1386,6 +1404,7 @@ for func in funcs:
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sol += f"<td >{blmean}</td>"
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sol += f"<td >{brmean}</td>"
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sol += f"<td >{visited}</td>"
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sol += f"<td >{visited_finland}</td>"
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sol += "</tr>"
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sol += "</tbody>\n"
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@ -124,7 +124,7 @@ if badExample:
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mbus.addConstraint( xp.Sum(plays[( p1+str(i),p2+str(j))] for j in [4,5,6] ) ==2)
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# mbus.Params.OutputFlag = 0
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mbus.setControl ('outputlog', 0)
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mbus.setControl ('outputlog', 1)
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debug=False
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@ -140,6 +140,7 @@ report_time = 0
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solutions =[]
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solution_strings =[]
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nSims = 1
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for i in range(nSims):
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if i%10==0:
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print(i)
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@ -151,16 +152,34 @@ for i in range(nSims):
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# mbus.setObjective(quicksum([ max(0,int(pa[0][1]) - int(pa[1][1] )) * plays[pa] for pa in possAssigns ]))
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# print ("DRAWING !!!!")
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sol = [('A1', 'A7'), ('A1', 'A9'), ('A1', 'B2'), ('A1', 'B3'), ('A1', 'C1'), ('A1', 'C2'), ('A1', 'D1'), ('A1', 'D2'), ('A2', 'A3'), ('A2', 'A4'), ('A2', 'B1'), ('A2', 'B4'), ('A2', 'C2'), ('A2', 'C3'), ('A2', 'D1'), ('A2', 'D4'), ('A3', 'A4'), ('A3', 'B3'), ('A3', 'B4'), ('A3', 'C3'), ('A3', 'C4'), ('A3', 'D2'), ('A3', 'D3'), ('A4', 'B1'), ('A4', 'B2'), ('A4', 'C1'), ('A4', 'C4'), ('A4', 'D3'), ('A4', 'D4'), ('A5', 'A8'), ('A5', 'A9'), ('A5', 'B5'), ('A5', 'B9'), ('A5', 'C8'), ('A5', 'C9'), ('A5', 'D6'), ('A5', 'D9'), ('A6', 'A7'), ('A6', 'A8'), ('A6', 'B6'), ('A6', 'B8'), ('A6', 'C5'), ('A6', 'C6'), ('A6', 'D5'), ('A6', 'D6'), ('A7', 'B5'), ('A7', 'B6'), ('A7', 'C5'), ('A7', 'C7'), ('A7', 'D7'), ('A7', 'D8'), ('A8', 'B7'), ('A8', 'B9'), ('A8', 'C8'), ('A8', 'C9'), ('A8', 'D5'), ('A8', 'D7'), ('A9', 'B7'), ('A9', 'B8'), ('A9', 'C6'), ('A9', 'C7'), ('A9', 'D8'), ('A9', 'D9'), ('B1', 'B2'), ('B1', 'B4'), ('B1', 'C2'), ('B1', 'C3'), ('B1', 'D3'), ('B1', 'D4'), ('B2', 'B3'), ('B2', 'C3'), ('B2', 'C4'), ('B2', 'D1'), ('B2', 'D3'), ('B3', 'B4'), ('B3', 'C1'), ('B3', 'C2'), ('B3', 'D2'), ('B3', 'D4'), ('B4', 'C1'), ('B4', 'C4'), ('B4', 'D1'), ('B4', 'D2'), ('B5', 'B8'), ('B5', 'B9'), ('B5', 'C6'), ('B5', 'C7'), ('B5', 'D7'), ('B5', 'D9'), ('B6', 'B7'), ('B6', 'B9'), ('B6', 'C5'), ('B6', 'C8'), ('B6', 'D5'), ('B6', 'D9'), ('B7', 'B8'), ('B7', 'C6'), ('B7', 'C8'), ('B7', 'D6'), ('B7', 'D7'), ('B8', 'C5'), ('B8', 'C9'), ('B8', 'D6'), ('B8', 'D8'), ('B9', 'C7'), ('B9', 'C9'), ('B9', 'D5'), ('B9', 'D8'), ('C1', 'C2'), ('C1', 'C4'), ('C1', 'D3'), ('C1', 'D4'), ('C2', 'C3'), ('C2', 'D1'), ('C2', 'D2'), ('C3', 'C4'), ('C3', 'D1'), ('C3', 'D3'), ('C4', 'D2'), ('C4', 'D4'), ('C5', 'C6'), ('C5', 'C8'), ('C5', 'D5'), ('C5', 'D6'), ('C6', 'C9'), ('C6', 'D7'), ('C6', 'D8'), ('C7', 'C8'), ('C7', 'C9'), ('C7', 'D7'), ('C7', 'D8'), ('C8', 'D6'), ('C8', 'D9'), ('C9', 'D5'), ('C9', 'D9'), ('D1', 'D2'), ('D1', 'D3'), ('D2', 'D4'), ('D3', 'D4'), ('D5', 'D6'), ('D5', 'D8'), ('D6', 'D9'), ('D7', 'D8'), ('D7', 'D9')]
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sol2 = []
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for (g1,g2) in sol:
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mbus.addConstraint(plays[(g1,g2)] == 1)
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mbus.addConstraint(plays[(g2,g1)] == 1)
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sol2.append((g1,g2))
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sol2.append((g2,g1))
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# mbus.optimize()
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mbus.solve()
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checker_sol = mbus.getSolution(plays)
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ttt = time.time()
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sol= [ pa for pa in possAssigns if checker_sol[pa]>0.9]
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solutions.append(sol.copy())
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sol= [ pa for pa in possAssigns if checker_sol[pa]>0.9]
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print(sorted(sol)==sorted(sol2))
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exit()
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sol = []
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for (a,b) in sol2:
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sol.append((a,b))
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sol.append((b,a))
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solutions.append(sol.copy())
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report_time += time.time()-ttt
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ttt = time.time()
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@ -271,10 +290,11 @@ for i in range(nSims):
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cal.setObjective(xp.Sum( -x[pa] for pa in x.keys() ))
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# cal.Params.OutputFlag = 0
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cal.setControl ('outputlog', 0)
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cal.setControl ('outputlog', 1)
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# cal.setControl ('presolveops', 131583)
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# print ("SCHEDULING !!!!")
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print ("SCHEDULING !!!!")
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# cal.optimize()
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cal.solve()
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# cal_sol= [pa for pa in x.keys() if x[pa].x>0.9 ]
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@ -116,7 +116,7 @@ debug=False
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now = datetime.now()
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nSims=10
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nSims=1
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if len(sys.argv)>1:
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nSims=int(sys.argv[1])
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@ -153,6 +153,13 @@ for i in range(nSims):
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mbus_time += time.time()-ttt
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ttt = time.time()
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sol= [ pa for pa in possAssigns if plays[pa].x>0.9]
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sol2 = [('A1', 'A7'), ('A1', 'A9'), ('A1', 'B2'), ('A1', 'B3'), ('A1', 'C1'), ('A1', 'C2'), ('A1', 'D1'), ('A1', 'D2'), ('A2', 'A3'), ('A2', 'A4'), ('A2', 'B1'), ('A2', 'B4'), ('A2', 'C2'), ('A2', 'C3'), ('A2', 'D1'), ('A2', 'D4'), ('A3', 'A4'), ('A3', 'B3'), ('A3', 'B4'), ('A3', 'C3'), ('A3', 'C4'), ('A3', 'D2'), ('A3', 'D3'), ('A4', 'B1'), ('A4', 'B2'), ('A4', 'C1'), ('A4', 'C4'), ('A4', 'D3'), ('A4', 'D4'), ('A5', 'A8'), ('A5', 'A9'), ('A5', 'B5'), ('A5', 'B9'), ('A5', 'C8'), ('A5', 'C9'), ('A5', 'D6'), ('A5', 'D9'), ('A6', 'A7'), ('A6', 'A8'), ('A6', 'B6'), ('A6', 'B8'), ('A6', 'C5'), ('A6', 'C6'), ('A6', 'D5'), ('A6', 'D6'), ('A7', 'B5'), ('A7', 'B6'), ('A7', 'C5'), ('A7', 'C7'), ('A7', 'D7'), ('A7', 'D8'), ('A8', 'B7'), ('A8', 'B9'), ('A8', 'C8'), ('A8', 'C9'), ('A8', 'D5'), ('A8', 'D7'), ('A9', 'B7'), ('A9', 'B8'), ('A9', 'C6'), ('A9', 'C7'), ('A9', 'D8'), ('A9', 'D9'), ('B1', 'B2'), ('B1', 'B4'), ('B1', 'C2'), ('B1', 'C3'), ('B1', 'D3'), ('B1', 'D4'), ('B2', 'B3'), ('B2', 'C3'), ('B2', 'C4'), ('B2', 'D1'), ('B2', 'D3'), ('B3', 'B4'), ('B3', 'C1'), ('B3', 'C2'), ('B3', 'D2'), ('B3', 'D4'), ('B4', 'C1'), ('B4', 'C4'), ('B4', 'D1'), ('B4', 'D2'), ('B5', 'B8'), ('B5', 'B9'), ('B5', 'C6'), ('B5', 'C7'), ('B5', 'D7'), ('B5', 'D9'), ('B6', 'B7'), ('B6', 'B9'), ('B6', 'C5'), ('B6', 'C8'), ('B6', 'D5'), ('B6', 'D9'), ('B7', 'B8'), ('B7', 'C6'), ('B7', 'C8'), ('B7', 'D6'), ('B7', 'D7'), ('B8', 'C5'), ('B8', 'C9'), ('B8', 'D6'), ('B8', 'D8'), ('B9', 'C7'), ('B9', 'C9'), ('B9', 'D5'), ('B9', 'D8'), ('C1', 'C2'), ('C1', 'C4'), ('C1', 'D3'), ('C1', 'D4'), ('C2', 'C3'), ('C2', 'D1'), ('C2', 'D2'), ('C3', 'C4'), ('C3', 'D1'), ('C3', 'D3'), ('C4', 'D2'), ('C4', 'D4'), ('C5', 'C6'), ('C5', 'C8'), ('C5', 'D5'), ('C5', 'D6'), ('C6', 'C9'), ('C6', 'D7'), ('C6', 'D8'), ('C7', 'C8'), ('C7', 'C9'), ('C7', 'D7'), ('C7', 'D8'), ('C8', 'D6'), ('C8', 'D9'), ('C9', 'D5'), ('C9', 'D9'), ('D1', 'D2'), ('D1', 'D3'), ('D2', 'D4'), ('D3', 'D4'), ('D5', 'D6'), ('D5', 'D8'), ('D6', 'D9'), ('D7', 'D8'), ('D7', 'D9')]
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sol = []
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for (g1,g2) in sol:
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sol.append((g1,g2))
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sol.append((g2,g1))
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solutions.append(sol.copy())
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report_time += time.time()-ttt
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@ -251,7 +258,7 @@ for i in range(nSims):
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cal.setObjective(quicksum( -x[pa] for pa in x.keys() ))
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cal.Params.OutputFlag = 0
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cal.Params.OutputFlag = 1
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# print ("SCHEDULING !!!!")
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cal_time1 += time.time()-ttt
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@ -179,6 +179,13 @@ def simulate_craw_and_calendar(thread, nSimulations):
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ttt = time.time()
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sol= [ pa for pa in possAssigns if checker_sol[pa]>0.9]
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|
||||
sol2 = [('A1', 'A7'), ('A1', 'A9'), ('A1', 'B2'), ('A1', 'B3'), ('A1', 'C1'), ('A1', 'C2'), ('A1', 'D1'), ('A1', 'D2'), ('A2', 'A3'), ('A2', 'A4'), ('A2', 'B1'), ('A2', 'B4'), ('A2', 'C2'), ('A2', 'C3'), ('A2', 'D1'), ('A2', 'D4'), ('A3', 'A4'), ('A3', 'B3'), ('A3', 'B4'), ('A3', 'C3'), ('A3', 'C4'), ('A3', 'D2'), ('A3', 'D3'), ('A4', 'B1'), ('A4', 'B2'), ('A4', 'C1'), ('A4', 'C4'), ('A4', 'D3'), ('A4', 'D4'), ('A5', 'A8'), ('A5', 'A9'), ('A5', 'B5'), ('A5', 'B9'), ('A5', 'C8'), ('A5', 'C9'), ('A5', 'D6'), ('A5', 'D9'), ('A6', 'A7'), ('A6', 'A8'), ('A6', 'B6'), ('A6', 'B8'), ('A6', 'C5'), ('A6', 'C6'), ('A6', 'D5'), ('A6', 'D6'), ('A7', 'B5'), ('A7', 'B6'), ('A7', 'C5'), ('A7', 'C7'), ('A7', 'D7'), ('A7', 'D8'), ('A8', 'B7'), ('A8', 'B9'), ('A8', 'C8'), ('A8', 'C9'), ('A8', 'D5'), ('A8', 'D7'), ('A9', 'B7'), ('A9', 'B8'), ('A9', 'C6'), ('A9', 'C7'), ('A9', 'D8'), ('A9', 'D9'), ('B1', 'B2'), ('B1', 'B4'), ('B1', 'C2'), ('B1', 'C3'), ('B1', 'D3'), ('B1', 'D4'), ('B2', 'B3'), ('B2', 'C3'), ('B2', 'C4'), ('B2', 'D1'), ('B2', 'D3'), ('B3', 'B4'), ('B3', 'C1'), ('B3', 'C2'), ('B3', 'D2'), ('B3', 'D4'), ('B4', 'C1'), ('B4', 'C4'), ('B4', 'D1'), ('B4', 'D2'), ('B5', 'B8'), ('B5', 'B9'), ('B5', 'C6'), ('B5', 'C7'), ('B5', 'D7'), ('B5', 'D9'), ('B6', 'B7'), ('B6', 'B9'), ('B6', 'C5'), ('B6', 'C8'), ('B6', 'D5'), ('B6', 'D9'), ('B7', 'B8'), ('B7', 'C6'), ('B7', 'C8'), ('B7', 'D6'), ('B7', 'D7'), ('B8', 'C5'), ('B8', 'C9'), ('B8', 'D6'), ('B8', 'D8'), ('B9', 'C7'), ('B9', 'C9'), ('B9', 'D5'), ('B9', 'D8'), ('C1', 'C2'), ('C1', 'C4'), ('C1', 'D3'), ('C1', 'D4'), ('C2', 'C3'), ('C2', 'D1'), ('C2', 'D2'), ('C3', 'C4'), ('C3', 'D1'), ('C3', 'D3'), ('C4', 'D2'), ('C4', 'D4'), ('C5', 'C6'), ('C5', 'C8'), ('C5', 'D5'), ('C5', 'D6'), ('C6', 'C9'), ('C6', 'D7'), ('C6', 'D8'), ('C7', 'C8'), ('C7', 'C9'), ('C7', 'D7'), ('C7', 'D8'), ('C8', 'D6'), ('C8', 'D9'), ('C9', 'D5'), ('C9', 'D9'), ('D1', 'D2'), ('D1', 'D3'), ('D2', 'D4'), ('D3', 'D4'), ('D5', 'D6'), ('D5', 'D8'), ('D6', 'D9'), ('D7', 'D8'), ('D7', 'D9')]
|
||||
sol = []
|
||||
for (g1,g2) in sol:
|
||||
sol.append((g1,g2))
|
||||
sol.append((g2,g1))
|
||||
|
||||
solutions.append(sol.copy())
|
||||
|
||||
report_time += time.time()-ttt
|
||||
@ -294,7 +301,7 @@ def simulate_craw_and_calendar(thread, nSimulations):
|
||||
cal.setObjective(xp.Sum( -x[pa] for pa in x.keys() ))
|
||||
|
||||
# cal.Params.OutputFlag = 0
|
||||
cal.setControl ('outputlog', 0)
|
||||
cal.setControl ('outputlog', 1)
|
||||
cal.setControl ('presolve', 0)
|
||||
# print ("SCHEDULING !!!!")
|
||||
|
||||
@ -322,6 +329,7 @@ def simulate_craw_and_calendar(thread, nSimulations):
|
||||
print ("Tested " , str(i+1) , " calendars" )
|
||||
print("Status",cal.getProbStatus(),f"{cal.getProbStatus()}")
|
||||
print("Solution",cal.getObjVal())
|
||||
exit()
|
||||
|
||||
# pas2_sol= [ pas for pas in pas2 if cal.getSolution(x[pas])>0.9]
|
||||
# print (pas2_sol)
|
||||
@ -346,6 +354,7 @@ def simulate_craw_and_calendar(thread, nSimulations):
|
||||
print ("Tested " , str(i+1) , " calendars" )
|
||||
print("Status",cal.getProbStatus(),f"{cal.getProbStatus()}")
|
||||
print("Solution",cal.getObjVal())
|
||||
exit()
|
||||
|
||||
# print (solutions)
|
||||
# oldGm = [ gg for gg in solutions[1] if gg not in solutions[0]]
|
||||
@ -362,12 +371,13 @@ def simulate_craw_and_calendar(thread, nSimulations):
|
||||
|
||||
n = sys.maxsize
|
||||
# n = 1000
|
||||
n = 1
|
||||
|
||||
pool = Pool()
|
||||
result = {}
|
||||
answer = {}
|
||||
# threads = cpu_count()//2
|
||||
threads = 10
|
||||
threads = 1
|
||||
|
||||
for cpu in range(threads):
|
||||
result[cpu] = pool.apply_async(simulate_craw_and_calendar, args=(f'thread_{cpu}', n,))
|
||||
|
||||
396
uefa/march24_infeasibilities/check_counterexamples.py
Normal file
396
uefa/march24_infeasibilities/check_counterexamples.py
Normal file
@ -0,0 +1,396 @@
|
||||
import os, sys
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
|
||||
# %%
|
||||
|
||||
if os.environ.get('SERVER', None):
|
||||
PROJECT_PATH = '/home/django/leagues/'
|
||||
else:
|
||||
PROJECT_PATH = '/home/md/Work/ligalytics/leagues_stable/'
|
||||
|
||||
import os, sys
|
||||
import json
|
||||
from numpyencoder import NumpyEncoder
|
||||
|
||||
|
||||
sys.path.insert(0, PROJECT_PATH)
|
||||
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "leagues.settings")
|
||||
os.environ["DJANGO_ALLOW_ASYNC_UNSAFE"] = "true"
|
||||
|
||||
from leagues import settings
|
||||
# settings.DATABASES['default']['NAME'] = PROJECT_PATH+'/db.sqlite3'
|
||||
if os.environ.get('SERVER', None):
|
||||
settings.DATABASES['default']['ENGINE'] = 'django.db.backends.postgresql'
|
||||
settings.DATABASES['default']['HOST'] = '0.0.0.0'
|
||||
settings.DATABASES['default']['PORT'] = '5433'
|
||||
settings.DATABASES['default']['USER'] = 'leagues_user'
|
||||
settings.DATABASES['default']['PASSWORD'] = 'ligalytics'
|
||||
settings.DATABASES['default']['NAME'] = 'prod_16'
|
||||
else:
|
||||
settings.DATABASES['default']['NAME'] = PROJECT_PATH+'/db.sqlite3'
|
||||
settings.DATABASES['default']['ENGINE'] = 'django.db.backends.postgresql'
|
||||
settings.DATABASES['default']['HOST'] = '0.0.0.0'
|
||||
settings.DATABASES['default']['PORT'] = '5432'
|
||||
settings.DATABASES['default']['USER'] = 'postgres'
|
||||
settings.DATABASES['default']['PASSWORD'] = 'secret123'
|
||||
settings.DATABASES['default']['NAME'] = 'mypgsqldb'
|
||||
settings.DATABASES['default']['ATOMIC_REQUESTS'] = False
|
||||
settings.DATABASES['default']['AUTOCOMMIT'] = True
|
||||
settings.DATABASES['default']['CONN_MAX_AGE'] = 0
|
||||
settings.DATABASES['default']['CONN_HEALTH_CHECKS'] = False
|
||||
settings.DATABASES['default']['OPTIONS'] = {}
|
||||
|
||||
os.environ["XPRESSDIR"] = "/opt/xpressmp"
|
||||
os.environ["XPRESS"] = "/opt/xpressmp/bin"
|
||||
os.environ["LD_LIBRARY_PATH"] = os.environ["XPRESSDIR"] + "/lib"
|
||||
os.environ["DYLD_LIBRARY_PATH"] = os.environ["XPRESSDIR"] + "/lib"
|
||||
os.environ["SHLIB_PATH"] = os.environ["XPRESSDIR"] + "/lib"
|
||||
os.environ["LIBPATH"] = os.environ["XPRESSDIR"] + "/lib"
|
||||
os.environ["PYTHONPATH"] = os.environ["XPRESSDIR"] + "/lib"
|
||||
os.environ["CLASSPATH"] = os.environ["XPRESSDIR"] + "/lib/xprs.jar"
|
||||
os.environ["CLASSPATH"] = os.environ["XPRESSDIR"] + "/lib/xprb.jar" + os.pathsep + os.environ["CLASSPATH"]
|
||||
os.environ["CLASSPATH"] = os.environ["XPRESSDIR"] + "/lib/xprm.jar" + os.pathsep + os.environ["CLASSPATH"]
|
||||
os.environ["PATH"] = os.environ["XPRESSDIR"] + "/bin" + os.pathsep + os.environ["PATH"]
|
||||
|
||||
|
||||
import django
|
||||
django.setup()
|
||||
|
||||
from scheduler.models import *
|
||||
import pulp
|
||||
from pulp import lpSum, value, XPRESS_PY, GUROBI, PULP_CBC_CMD, XPRESS_PY
|
||||
from django.db.models import Q
|
||||
from django.template.loader import render_to_string
|
||||
|
||||
from qualifiers.models import *
|
||||
from common.models import GlobalTeam, GlobalCountry
|
||||
from scheduler.models import Season, Scenario, Team, DayObj, CountryClash, Country
|
||||
|
||||
from qualifiers.draws import groupTeams, optimize_inversions4
|
||||
from scheduler.solver.tasks.optimize import optimize
|
||||
from scheduler.solver.tasks.optimize_submodels import ueluecl24_basicmodell_v2
|
||||
from scheduler.solver.tasks.optimize_specialmodels import uefa24_conflicts
|
||||
|
||||
import random
|
||||
import time
|
||||
import json
|
||||
import csv
|
||||
import networkx as nx
|
||||
import matplotlib.pyplot as plt
|
||||
from datetime import timedelta
|
||||
from collections import defaultdict
|
||||
from django.contrib.sessions.models import Session
|
||||
|
||||
import xpress as xp
|
||||
|
||||
|
||||
scenario = Scenario.objects.get(id=9704)
|
||||
season = scenario.season
|
||||
|
||||
s2 = scenario.id
|
||||
user_name = 'md'
|
||||
user_is_staff = True
|
||||
runMode = 'New'
|
||||
localsearch_time = 0
|
||||
# runMode = "Improve"
|
||||
# localsearch_time = 60
|
||||
RUN_ENV = 'local'
|
||||
SOLVER = 'xpress'
|
||||
|
||||
|
||||
partial_solution = []
|
||||
|
||||
scenario_id = s2
|
||||
solver = SOLVER
|
||||
|
||||
# partial_solution = optimize(task=None, s2=s2, user_name=user_name, user_is_staff=user_is_staff,
|
||||
# runMode=runMode, localsearch_time=localsearch_time, RUN_ENV=RUN_ENV, solver=SOLVER)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# ucl_home, ucl_away, uel_team_ids, uecl_team_ids, all_rounds, ucl_rounds, uel_rounds, uecl_rounds, getDateByIso, home_dict, away_dict, viol_dict, team_pairing, team_pairing_ids = uefa24_conflicts(scenario.id)
|
||||
|
||||
|
||||
# class Struct:
|
||||
# def __init__(self, **entries):
|
||||
# self.__dict__.update(entries)
|
||||
|
||||
# games= [
|
||||
# "A1 Sevilla FC (ESP) ESP A9 FC Internazionale Milano (ITA) ITA",
|
||||
# "A1 Sevilla FC (ESP) ESP B5 Borussia Dortmund (GER) GER",
|
||||
# "A1 Sevilla FC (ESP) ESP C8 Atalanta BC (ITA) ITA",
|
||||
# "A1 Sevilla FC (ESP) ESP D7 Newcastle United FC (ENG) ENG",
|
||||
# "A2 FC Barcelona (ESP) ESP A3 Manchester United (ENG) ENG",
|
||||
# "A2 FC Barcelona (ESP) ESP B1 Arsenal FC (ENG) ENG",
|
||||
# "A2 FC Barcelona (ESP) ESP C1 GNK Dinamo (CRO) CRO",
|
||||
# "A2 FC Barcelona (ESP) ESP D3 Royal Antwerp FC (BEL) BEL",
|
||||
# "A3 Manchester United (ENG) ENG A4 FC Bayern München (GER) GER",
|
||||
# "A3 Manchester United (ENG) ENG B4 RB Leipzig (GER) GER",
|
||||
# "A3 Manchester United (ENG) ENG C3 Rangers FC (SCO) SCO",
|
||||
# "A3 Manchester United (ENG) ENG D4 Molde FK (NOR) NOR",
|
||||
# "A4 FC Bayern München (GER) GER A2 FC Barcelona (ESP) ESP",
|
||||
# "A4 FC Bayern München (GER) GER B2 FC Porto (POR) POR",
|
||||
# "A4 FC Bayern München (GER) GER C2 S.S. Lazio (ITA) ITA",
|
||||
# "A4 FC Bayern München (GER) GER D1 Real Sociedad de Fútbol (ESP) ESP",
|
||||
# "A5 Real Madrid CF (ESP) ESP A6 Liverpool FC (ENG) ENG",
|
||||
# "A5 Real Madrid CF (ESP) ESP B8 SL Benfica (POR) POR",
|
||||
# "A5 Real Madrid CF (ESP) ESP C9 Stade Rennais FC (FRA) FRA",
|
||||
# "A5 Real Madrid CF (ESP) ESP D2 RC Lens (FRA) FRA",
|
||||
# "A6 Liverpool FC (ENG) ENG A7 Paris Saint-Germain (FRA) FRA",
|
||||
# "A6 Liverpool FC (ENG) ENG B6 FC Shakhtar Donetsk (UKR) UKR",
|
||||
# "A6 Liverpool FC (ENG) ENG C7 Feyenoord (NED) NED",
|
||||
# "A6 Liverpool FC (ENG) ENG D6 Celtic FC (SCO) SCO",
|
||||
# "A7 Paris Saint-Germain (FRA) FRA A5 Real Madrid CF (ESP) ESP",
|
||||
# "A7 Paris Saint-Germain (FRA) FRA B7 Club Atlético de Madrid (ESP) ESP",
|
||||
# "A7 Paris Saint-Germain (FRA) FRA C4 AC Milan (ITA) ITA",
|
||||
# "A7 Paris Saint-Germain (FRA) FRA D5 PFC Ludogorets 1945 (BUL) BUL",
|
||||
# "A8 Manchester City (ENG) ENG A1 Sevilla FC (ESP) ESP",
|
||||
# "A8 Manchester City (ENG) ENG B3 SSC Napoli (ITA) ITA",
|
||||
# "A8 Manchester City (ENG) ENG C5 F.C. Copenhagen (DEN) DEN",
|
||||
# "A8 Manchester City (ENG) ENG D9 1. FC Union Berlin (GER) GER",
|
||||
# "A9 FC Internazionale Milano (ITA) ITA A8 Manchester City (ENG) ENG",
|
||||
# "A9 FC Internazionale Milano (ITA) ITA B9 FC Salzburg (AUT) AUT",
|
||||
# "A9 FC Internazionale Milano (ITA) ITA C6 FK Crvena zvezda (SRB) SRB",
|
||||
# "A9 FC Internazionale Milano (ITA) ITA D8 Olympique de Marseille (FRA) FRA",
|
||||
# "B1 Arsenal FC (ENG) ENG A4 FC Bayern München (GER) GER",
|
||||
# "B1 Arsenal FC (ENG) ENG B3 SSC Napoli (ITA) ITA",
|
||||
# "B1 Arsenal FC (ENG) ENG C4 AC Milan (ITA) ITA",
|
||||
# "B1 Arsenal FC (ENG) ENG D4 Molde FK (NOR) NOR",
|
||||
# "B2 FC Porto (POR) POR A3 Manchester United (ENG) ENG",
|
||||
# "B2 FC Porto (POR) POR B1 Arsenal FC (ENG) ENG",
|
||||
# "B2 FC Porto (POR) POR C3 Rangers FC (SCO) SCO",
|
||||
# "B2 FC Porto (POR) POR D1 Real Sociedad de Fútbol (ESP) ESP",
|
||||
# "B3 SSC Napoli (ITA) ITA A1 Sevilla FC (ESP) ESP",
|
||||
# "B3 SSC Napoli (ITA) ITA B4 RB Leipzig (GER) GER",
|
||||
# "B3 SSC Napoli (ITA) ITA C1 GNK Dinamo (CRO) CRO",
|
||||
# "B3 SSC Napoli (ITA) ITA D3 Royal Antwerp FC (BEL) BEL",
|
||||
# "B4 RB Leipzig (GER) GER A2 FC Barcelona (ESP) ESP",
|
||||
# "B4 RB Leipzig (GER) GER B2 FC Porto (POR) POR",
|
||||
# "B4 RB Leipzig (GER) GER C2 S.S. Lazio (ITA) ITA",
|
||||
# "B4 RB Leipzig (GER) GER D2 RC Lens (FRA) FRA",
|
||||
# "B5 Borussia Dortmund (GER) GER A6 Liverpool FC (ENG) ENG",
|
||||
# "B5 Borussia Dortmund (GER) GER B8 SL Benfica (POR) POR",
|
||||
# "B5 Borussia Dortmund (GER) GER C7 Feyenoord (NED) NED",
|
||||
# "B5 Borussia Dortmund (GER) GER D6 Celtic FC (SCO) SCO",
|
||||
# "B6 FC Shakhtar Donetsk (UKR) UKR A5 Real Madrid CF (ESP) ESP",
|
||||
# "B6 FC Shakhtar Donetsk (UKR) UKR B5 Borussia Dortmund (GER) GER",
|
||||
# "B6 FC Shakhtar Donetsk (UKR) UKR C9 Stade Rennais FC (FRA) FRA",
|
||||
# "B6 FC Shakhtar Donetsk (UKR) UKR D8 Olympique de Marseille (FRA) FRA",
|
||||
# "B7 Club Atlético de Madrid (ESP) ESP A8 Manchester City (ENG) ENG",
|
||||
# "B7 Club Atlético de Madrid (ESP) ESP B9 FC Salzburg (AUT) AUT",
|
||||
# "B7 Club Atlético de Madrid (ESP) ESP C8 Atalanta BC (ITA) ITA",
|
||||
# "B7 Club Atlético de Madrid (ESP) ESP D9 1. FC Union Berlin (GER) GER",
|
||||
# "B8 SL Benfica (POR) POR A9 FC Internazionale Milano (ITA) ITA",
|
||||
# "B8 SL Benfica (POR) POR B7 Club Atlético de Madrid (ESP) ESP",
|
||||
# "B8 SL Benfica (POR) POR C6 FK Crvena zvezda (SRB) SRB",
|
||||
# "B8 SL Benfica (POR) POR D7 Newcastle United FC (ENG) ENG",
|
||||
# "B9 FC Salzburg (AUT) AUT A7 Paris Saint-Germain (FRA) FRA",
|
||||
# "B9 FC Salzburg (AUT) AUT B6 FC Shakhtar Donetsk (UKR) UKR",
|
||||
# "B9 FC Salzburg (AUT) AUT C5 F.C. Copenhagen (DEN) DEN",
|
||||
# "B9 FC Salzburg (AUT) AUT D5 PFC Ludogorets 1945 (BUL) BUL",
|
||||
# "C1 GNK Dinamo (CRO) CRO A1 Sevilla FC (ESP) ESP",
|
||||
# "C1 GNK Dinamo (CRO) CRO B2 FC Porto (POR) POR",
|
||||
# "C1 GNK Dinamo (CRO) CRO C2 S.S. Lazio (ITA) ITA",
|
||||
# "C1 GNK Dinamo (CRO) CRO D4 Molde FK (NOR) NOR",
|
||||
# "C2 S.S. Lazio (ITA) ITA A3 Manchester United (ENG) ENG",
|
||||
# "C2 S.S. Lazio (ITA) ITA B1 Arsenal FC (ENG) ENG",
|
||||
# "C2 S.S. Lazio (ITA) ITA C3 Rangers FC (SCO) SCO",
|
||||
# "C2 S.S. Lazio (ITA) ITA D2 RC Lens (FRA) FRA",
|
||||
# "C3 Rangers FC (SCO) SCO A2 FC Barcelona (ESP) ESP",
|
||||
# "C3 Rangers FC (SCO) SCO B3 SSC Napoli (ITA) ITA",
|
||||
# "C3 Rangers FC (SCO) SCO C4 AC Milan (ITA) ITA",
|
||||
# "C3 Rangers FC (SCO) SCO D1 Real Sociedad de Fútbol (ESP) ESP",
|
||||
# "C4 AC Milan (ITA) ITA A4 FC Bayern München (GER) GER",
|
||||
# "C4 AC Milan (ITA) ITA B4 RB Leipzig (GER) GER",
|
||||
# "C4 AC Milan (ITA) ITA C1 GNK Dinamo (CRO) CRO",
|
||||
# "C4 AC Milan (ITA) ITA D3 Royal Antwerp FC (BEL) BEL",
|
||||
# "C5 F.C. Copenhagen (DEN) DEN A6 Liverpool FC (ENG) ENG",
|
||||
# "C5 F.C. Copenhagen (DEN) DEN B7 Club Atlético de Madrid (ESP) ESP",
|
||||
# "C5 F.C. Copenhagen (DEN) DEN C9 Stade Rennais FC (FRA) FRA",
|
||||
# "C5 F.C. Copenhagen (DEN) DEN D6 Celtic FC (SCO) SCO",
|
||||
# "C6 FK Crvena zvezda (SRB) SRB A7 Paris Saint-Germain (FRA) FRA",
|
||||
# "C6 FK Crvena zvezda (SRB) SRB B5 Borussia Dortmund (GER) GER",
|
||||
# "C6 FK Crvena zvezda (SRB) SRB C5 F.C. Copenhagen (DEN) DEN",
|
||||
# "C6 FK Crvena zvezda (SRB) SRB D5 PFC Ludogorets 1945 (BUL) BUL",
|
||||
# "C7 Feyenoord (NED) NED A8 Manchester City (ENG) ENG",
|
||||
# "C7 Feyenoord (NED) NED B6 FC Shakhtar Donetsk (UKR) UKR",
|
||||
# "C7 Feyenoord (NED) NED C6 FK Crvena zvezda (SRB) SRB",
|
||||
# "C7 Feyenoord (NED) NED D8 Olympique de Marseille (FRA) FRA",
|
||||
# "C8 Atalanta BC (ITA) ITA A5 Real Madrid CF (ESP) ESP",
|
||||
# "C8 Atalanta BC (ITA) ITA B8 SL Benfica (POR) POR",
|
||||
# "C8 Atalanta BC (ITA) ITA C7 Feyenoord (NED) NED",
|
||||
# "C8 Atalanta BC (ITA) ITA D9 1. FC Union Berlin (GER) GER",
|
||||
# "C9 Stade Rennais FC (FRA) FRA A9 FC Internazionale Milano (ITA) ITA",
|
||||
# "C9 Stade Rennais FC (FRA) FRA B9 FC Salzburg (AUT) AUT",
|
||||
# "C9 Stade Rennais FC (FRA) FRA C8 Atalanta BC (ITA) ITA",
|
||||
# "C9 Stade Rennais FC (FRA) FRA D7 Newcastle United FC (ENG) ENG",
|
||||
# "D1 Real Sociedad de Fútbol (ESP) ESP A3 Manchester United (ENG) ENG",
|
||||
# "D1 Real Sociedad de Fútbol (ESP) ESP B4 RB Leipzig (GER) GER",
|
||||
# "D1 Real Sociedad de Fútbol (ESP) ESP C1 GNK Dinamo (CRO) CRO",
|
||||
# "D1 Real Sociedad de Fútbol (ESP) ESP D2 RC Lens (FRA) FRA",
|
||||
# "D2 RC Lens (FRA) FRA A4 FC Bayern München (GER) GER",
|
||||
# "D2 RC Lens (FRA) FRA B1 Arsenal FC (ENG) ENG",
|
||||
# "D2 RC Lens (FRA) FRA C3 Rangers FC (SCO) SCO",
|
||||
# "D2 RC Lens (FRA) FRA D4 Molde FK (NOR) NOR",
|
||||
# "D3 Royal Antwerp FC (BEL) BEL A1 Sevilla FC (ESP) ESP",
|
||||
# "D3 Royal Antwerp FC (BEL) BEL B2 FC Porto (POR) POR",
|
||||
# "D3 Royal Antwerp FC (BEL) BEL C2 S.S. Lazio (ITA) ITA",
|
||||
# "D3 Royal Antwerp FC (BEL) BEL D1 Real Sociedad de Fútbol (ESP) ESP",
|
||||
# "D4 Molde FK (NOR) NOR A2 FC Barcelona (ESP) ESP",
|
||||
# "D4 Molde FK (NOR) NOR B3 SSC Napoli (ITA) ITA",
|
||||
# "D4 Molde FK (NOR) NOR C4 AC Milan (ITA) ITA",
|
||||
# "D4 Molde FK (NOR) NOR D3 Royal Antwerp FC (BEL) BEL",
|
||||
# "D5 PFC Ludogorets 1945 (BUL) BUL A5 Real Madrid CF (ESP) ESP",
|
||||
# "D5 PFC Ludogorets 1945 (BUL) BUL B6 FC Shakhtar Donetsk (UKR) UKR",
|
||||
# "D5 PFC Ludogorets 1945 (BUL) BUL C8 Atalanta BC (ITA) ITA",
|
||||
# "D5 PFC Ludogorets 1945 (BUL) BUL D7 Newcastle United FC (ENG) ENG",
|
||||
# "D6 Celtic FC (SCO) SCO A8 Manchester City (ENG) ENG",
|
||||
# "D6 Celtic FC (SCO) SCO B9 FC Salzburg (AUT) AUT",
|
||||
# "D6 Celtic FC (SCO) SCO C9 Stade Rennais FC (FRA) FRA",
|
||||
# "D6 Celtic FC (SCO) SCO D5 PFC Ludogorets 1945 (BUL) BUL",
|
||||
# "D7 Newcastle United FC (ENG) ENG A9 FC Internazionale Milano (ITA) ITA",
|
||||
# "D7 Newcastle United FC (ENG) ENG B7 Club Atlético de Madrid (ESP) ESP",
|
||||
# "D7 Newcastle United FC (ENG) ENG C7 Feyenoord (NED) NED",
|
||||
# "D7 Newcastle United FC (ENG) ENG D9 1. FC Union Berlin (GER) GER",
|
||||
# "D8 Olympique de Marseille (FRA) FRA A6 Liverpool FC (ENG) ENG",
|
||||
# "D8 Olympique de Marseille (FRA) FRA B5 Borussia Dortmund (GER) GER",
|
||||
# "D8 Olympique de Marseille (FRA) FRA C5 F.C. Copenhagen (DEN) DEN",
|
||||
# "D8 Olympique de Marseille (FRA) FRA D6 Celtic FC (SCO) SCO",
|
||||
# "D9 1. FC Union Berlin (GER) GER A7 Paris Saint-Germain (FRA) FRA",
|
||||
# "D9 1. FC Union Berlin (GER) GER B8 SL Benfica (POR) POR",
|
||||
# "D9 1. FC Union Berlin (GER) GER C6 FK Crvena zvezda (SRB) SRB",
|
||||
# "D9 1. FC Union Berlin (GER) GER D8 Olympique de Marseille (FRA) FRA",
|
||||
# ]
|
||||
|
||||
# %%
|
||||
GameRequirement.objects.filter(scenario=scenario).delete()
|
||||
|
||||
teams = Team.objects.filter(season=scenario.season,active=True)
|
||||
|
||||
gamereqs = []
|
||||
|
||||
team_ids = []
|
||||
teams_from_pot = {p:teams.filter(pot=p).count() for p in range(1,5)}
|
||||
home_games_agains_pot = {t:{p:0 for p in range(1,5)} for t in teams}
|
||||
away_games_agains_pot = {t:{p:0 for p in range(1,5)} for t in teams}
|
||||
opponents_from_same_country = {t:defaultdict(lambda:0) for t in teams}
|
||||
|
||||
teams = Team.objects.filter(season=scenario.season,active=True)
|
||||
team_ids = []
|
||||
|
||||
|
||||
|
||||
# for game in games:
|
||||
# home,away = game.split('\t')
|
||||
# new_home = home[3:].split('(')[0].strip()
|
||||
# new_away = away[3:].split('(')[0].strip()
|
||||
# # print(new_home,new_away)
|
||||
# h = teams.filter(name__icontains=new_home).first()
|
||||
# a = teams.filter(name__icontains=new_away).first()
|
||||
# if not a or not h:
|
||||
# print(new_home,new_away)
|
||||
# else:
|
||||
# team_ids.append(h.id)
|
||||
# team_ids.append(a.id)
|
||||
|
||||
# gamereqs.append((h,a))
|
||||
# if (a,h) in gamereqs:
|
||||
# print("DUPLICATE",h,a)
|
||||
|
||||
|
||||
|
||||
# home_games_agains_pot[h][a.pot] += 1
|
||||
# away_games_agains_pot[a][h.pot] += 1
|
||||
# opponents_from_same_country[h][a.country] += 1
|
||||
# opponents_from_same_country[a][h.country] += 1
|
||||
|
||||
|
||||
# GameRequirement.objects.create(scenario=scenario,team1=h,team2=a,number=1)
|
||||
|
||||
|
||||
|
||||
|
||||
for file in os.listdir('counterexample'):
|
||||
filename = os.fsdecode(file)
|
||||
if filename.endswith(".txt"):
|
||||
with open('counterexample/'+filename) as f:
|
||||
print(filename)
|
||||
games = f.readlines()
|
||||
for i, game in enumerate(games):
|
||||
parsed_game = [x.strip() for x in game.split("\t")]
|
||||
new_home = parsed_game[1].split('(')[0].strip()
|
||||
new_away = parsed_game[2].split('(')[0].strip()
|
||||
h = teams.filter(name__icontains=new_home).first()
|
||||
a = teams.filter(name__icontains=new_away).first()
|
||||
|
||||
if not a or not h:
|
||||
print(a,h)
|
||||
else:
|
||||
team_ids.append(h.id)
|
||||
team_ids.append(a.id)
|
||||
|
||||
gamereqs.append((h,a))
|
||||
if (a,h) in gamereqs:
|
||||
print("DUPLICATE",h,a)
|
||||
|
||||
home_games_agains_pot[h][a.pot] += 1
|
||||
away_games_agains_pot[a][h.pot] += 1
|
||||
opponents_from_same_country[h][a.country] += 1
|
||||
opponents_from_same_country[a][h.country] += 1
|
||||
|
||||
|
||||
|
||||
for t in teams:
|
||||
for p in range(1,5):
|
||||
if home_games_agains_pot[t][p] != 1:
|
||||
print("HOME",t,p)
|
||||
if away_games_agains_pot[t][p] != 1:
|
||||
print("AWAY",t,p)
|
||||
for c in opponents_from_same_country[t]:
|
||||
if opponents_from_same_country[t][c] >= 4:
|
||||
print(t,c,opponents_from_same_country[t][c])
|
||||
|
||||
|
||||
|
||||
# MODEL WITH HOME
|
||||
model = xp.problem(name='HomeAssignments', sense=xp.minimize)
|
||||
|
||||
rounds = range(1,9)
|
||||
|
||||
x = {}
|
||||
home = {}
|
||||
for r in rounds:
|
||||
for (t1,t2) in gamereqs:
|
||||
x[r,t1.id,t2.id] = xp.var(vartype=xp.binary, name='x_{}_{}_{}'.format(r,t1.id,t2.id))
|
||||
|
||||
model.addVariable(x)
|
||||
|
||||
# each game has to be played
|
||||
for (t1,t2) in gamereqs:
|
||||
model.addConstraint(xp.Sum([x[r,t1.id,t2.id] for r in rounds]) == 1)
|
||||
|
||||
# each team has to play once in each round
|
||||
for t in teams:
|
||||
for r in rounds:
|
||||
model.addConstraint(xp.Sum([x[r,t.id,t2.id] for t2 in teams if (r,t.id,t2.id) in x.keys()])+xp.Sum([x[r,t2.id,t.id] for t2 in teams if (r,t2.id,t.id) in x.keys()]) == 1)
|
||||
|
||||
model.solve()
|
||||
|
||||
|
||||
print ("model.getProbStatus() ",model.getProbStatus() )
|
||||
if model.getProbStatus() != 5:
|
||||
print("SOLUTION FOUND")
|
||||
for r in rounds:
|
||||
for (t1,t2) in gamereqs:
|
||||
if model.getSolution(x[r,t1.id,t2.id]) > 0.9:
|
||||
print(r,t1,t2)
|
||||
if model.getSolution(x[r,t2.id,t1.id]) > 0.9:
|
||||
print(r,t2,t1)
|
||||
|
||||
print("\n\n\n")
|
||||
|
||||
|
||||
# %%
|
||||
@ -56,7 +56,7 @@ import matplotlib.pyplot as plt
|
||||
from django.contrib.sessions.models import Session
|
||||
|
||||
|
||||
scenario = Scenario.objects.get(id=9360)
|
||||
scenario = Scenario.objects.get(id=9704)
|
||||
|
||||
|
||||
|
||||
@ -71,7 +71,7 @@ localsearch_time = 60
|
||||
RUN_ENV = 'local'
|
||||
SOLVER = 'xpress'
|
||||
|
||||
teams = Team.objects.filter(season=scenario.season,active=True,conference__name="UECL").distinct()
|
||||
teams = Team.objects.filter(season=scenario.season,active=True).distinct()
|
||||
|
||||
|
||||
gamereqs = GameRequirement.objects.filter(scenario=scenario)
|
||||
@ -212,69 +212,69 @@ distance = create_graph()
|
||||
# comp_time = time.time()-start_time
|
||||
|
||||
|
||||
teams = Team.objects.filter(season=scenario.season,active=True).distinct()
|
||||
# teams = Team.objects.filter(season=scenario.season,active=True).distinct()
|
||||
|
||||
import xpress as xp
|
||||
# import xpress as xp
|
||||
|
||||
xp.controls.outputlog = 1
|
||||
model = xp.problem(name='Draws', sense=xp.minimize)
|
||||
model.setControl('maxtime' , 600)
|
||||
# xp.controls.outputlog = 1
|
||||
# model = xp.problem(name='Draws', sense=xp.minimize)
|
||||
# model.setControl('maxtime' , 600)
|
||||
|
||||
|
||||
groups = range(1,5)
|
||||
# groups = range(1,5)
|
||||
|
||||
x = {}
|
||||
y = {}
|
||||
for g in groups:
|
||||
for t in teams:
|
||||
x[t,g] = xp.var(vartype=xp.binary)
|
||||
for gr in gamereqs:
|
||||
y[gr.team1,gr.team2,g] = xp.var(vartype=xp.binary)
|
||||
# x = {}
|
||||
# y = {}
|
||||
# for g in groups:
|
||||
# for t in teams:
|
||||
# x[t,g] = xp.var(vartype=xp.binary)
|
||||
# for gr in gamereqs:
|
||||
# y[gr.team1,gr.team2,g] = xp.var(vartype=xp.binary)
|
||||
|
||||
model.addVariable(x)
|
||||
model.addVariable(y)
|
||||
# model.addVariable(x)
|
||||
# model.addVariable(y)
|
||||
|
||||
for t1,t2,g in y.keys():
|
||||
model.addConstraint(y[t1,t2,g] >= (x[t1,g] - x[t2,g]))
|
||||
model.addConstraint(y[t1,t2,g] >= (x[t2,g] - x[t1,g]))
|
||||
# for t1,t2,g in y.keys():
|
||||
# model.addConstraint(y[t1,t2,g] >= (x[t1,g] - x[t2,g]))
|
||||
# model.addConstraint(y[t1,t2,g] >= (x[t2,g] - x[t1,g]))
|
||||
|
||||
for t in teams:
|
||||
model.addConstraint(xp.Sum(x[t,g] for g in groups) == 1)
|
||||
# for t in teams:
|
||||
# model.addConstraint(xp.Sum(x[t,g] for g in groups) == 1)
|
||||
|
||||
for g in groups:
|
||||
model.addConstraint(xp.Sum(x[t,g] for t in teams) == len(teams)/len(groups))
|
||||
# for g in groups:
|
||||
# model.addConstraint(xp.Sum(x[t,g] for t in teams) == len(teams)/len(groups))
|
||||
|
||||
model.setObjective(xp.Sum(y[key] for key in y.keys()))
|
||||
# model.setObjective(xp.Sum(y[key] for key in y.keys()))
|
||||
|
||||
start_time = time.time()
|
||||
model.solve()
|
||||
comp_time = time.time()-start_time
|
||||
# start_time = time.time()
|
||||
# model.solve()
|
||||
# comp_time = time.time()-start_time
|
||||
|
||||
|
||||
|
||||
# %%
|
||||
pot = {}
|
||||
group_list = {g:[] for g in groups}
|
||||
for g in groups:
|
||||
print("GROUP",g)
|
||||
for t in teams:
|
||||
if model.getSolution(x[t,g]) > 0:
|
||||
print("\t",t.id)
|
||||
group_list[g].append(t.id)
|
||||
pot[t] = g
|
||||
print("")
|
||||
# # %%
|
||||
# pot = {}
|
||||
# group_list = {g:[] for g in groups}
|
||||
# for g in groups:
|
||||
# print("GROUP",g)
|
||||
# for t in teams:
|
||||
# if model.getSolution(x[t,g]) > 0:
|
||||
# print("\t",t.id)
|
||||
# group_list[g].append(t.id)
|
||||
# pot[t] = g
|
||||
# print("")
|
||||
|
||||
|
||||
|
||||
# %%
|
||||
# # %%
|
||||
|
||||
|
||||
|
||||
# %%
|
||||
# # %%
|
||||
|
||||
print(group_list)
|
||||
# print(group_list)
|
||||
|
||||
|
||||
# %%
|
||||
# # %%
|
||||
|
||||
create_graph(pot)
|
||||
# create_graph(pot)
|
||||
@ -67,7 +67,7 @@ def getVal(v):
|
||||
return v.value()
|
||||
|
||||
|
||||
scenario = Scenario.objects.get(id=9402)
|
||||
scenario = Scenario.objects.get(id=9607)
|
||||
|
||||
|
||||
hawishes = HAWish.objects.filter(scenario=scenario,prio__in=['Hard','A'])
|
||||
@ -549,7 +549,7 @@ model += objective_function #+ 0.001*random_seed
|
||||
with open ("basicmodel.txt", "w") as f:
|
||||
f.write(model.__repr__())
|
||||
|
||||
model.solve(XPRESS(msg=1,maxSeconds=300, gapRel=0))
|
||||
model.solve(XPRESS(msg=1,timeLimit=300, gapRel=0))
|
||||
|
||||
|
||||
# FOR DEBUGGING
|
||||
|
||||
@ -9,14 +9,63 @@ pre_url = 'https://uefadigitalapipre.developer.azure-api.net'
|
||||
pre_primary_key = '1decf93425944f8b9e6dc7226a3b8477'
|
||||
pre_secondary_key = '14771f5c67b74836a59f777cb543cc0f'
|
||||
|
||||
# %%
|
||||
|
||||
# r=requests.get("https://api.digital.uefa.com/comp/v2/competitions/1/seasons", headers={"Cache-Control":"no-cache","Ocp-Apim-Subscription-Key":"7dfa861240aa40f8a834990c24f1a66d"})
|
||||
# # %%
|
||||
# r.json()
|
||||
# # %%
|
||||
|
||||
# r=requests.get("https://api.pre.digital.uefa.com/comp/v2/competitions/1/seasons", headers={"Cache-Control":"no-cache","Ocp-Apim-Subscription-Key":"14771f5c67b74836a59f777cb543cc0f"})
|
||||
# # %%
|
||||
# r.json()
|
||||
# # %%
|
||||
|
||||
|
||||
r=requests.get("https://api.digital.uefa.com/comp/v2/competitions/1/seasons", headers={"Cache-Control":"no-cache","Ocp-Apim-Subscription-Key":"7dfa861240aa40f8a834990c24f1a66d"})
|
||||
# %%
|
||||
r.json()
|
||||
# %%
|
||||
|
||||
r=requests.get("https://api.pre.digital.uefa.com/comp/v2/competitions/1/seasons", headers={"Cache-Control":"no-cache","Ocp-Apim-Subscription-Key":"14771f5c67b74836a59f777cb543cc0f"})
|
||||
|
||||
data = {
|
||||
"season": "UCL 24/25",
|
||||
"games": [
|
||||
{
|
||||
"home": 50051,
|
||||
"away": 52682
|
||||
},
|
||||
{
|
||||
"home": 52747,
|
||||
"away": 50051
|
||||
},
|
||||
{
|
||||
"home": 50051,
|
||||
"away": 50030
|
||||
},
|
||||
{
|
||||
"home": 52758,
|
||||
"away": 50051
|
||||
},
|
||||
{
|
||||
"home": 50051,
|
||||
"away": 50031
|
||||
},
|
||||
{
|
||||
"home": 52336,
|
||||
"away": 50051
|
||||
},
|
||||
{
|
||||
"home": 50051,
|
||||
"away": 50050
|
||||
},
|
||||
{
|
||||
"home": 77977,
|
||||
"away": 50051
|
||||
}
|
||||
]
|
||||
}
|
||||
# %%
|
||||
# r=requests.post("http://localhost:8000/api/uefa/checker/",
|
||||
r=requests.post("https://compute.asolvo.de/api/uefa/teams/",
|
||||
headers={"Authorization": "R6v1e9Q5W8aS3b7C4x2KpZqL9yFmXnDz"},
|
||||
json=data)
|
||||
|
||||
# %%
|
||||
r.json()
|
||||
# %%
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user