--- /dev/null
+from __future__ import print_function
+import sys
+import time
+from ortools.sat.python import cp_model
+
+
+
+num_groups = 2 # NOTE: 2 is hard-coded in some places.
+num_teams_per_group = 6
+num_teams = num_teams_per_group * num_groups
+num_rounds = (num_teams_per_group * (num_teams_per_group - 1)) // 2
+num_matches = num_rounds * num_groups
+
+class SolutionPrinterWithObjective(cp_model.CpSolverSolutionCallback):
+ def __init__(self, home_teams, away_teams, matchnums, objective):
+ cp_model.CpSolverSolutionCallback.__init__(self)
+ self.__solution_count = 0
+ self.__start_time = time.time()
+ self.__home_teams = home_teams
+ self.__away_teams = away_teams
+ self.__matchnums = matchnums
+ self.__objective = objective
+
+ def OnSolutionCallback(self):
+ current_time = time.time()
+ self.__solution_count += 1
+ print('Solution %i, time = %f s, objective = %d' %
+ (self.__solution_count, current_time - self.__start_time, self.Value(self.__objective)))
+ num_times_on_stream = [0 for team_idx in range(num_teams)]
+ num_times_tired = [0 for team_idx in range(num_teams)]
+ recently_played_0 = [False for team_idx in range(num_teams)]
+ recently_played_1 = [False for team_idx in range(num_teams)]
+ recently_played_2 = [False for team_idx in range(num_teams)]
+ recently_played_3 = [False for team_idx in range(num_teams)]
+ for i in range(num_matches // num_groups):
+ recently_played_4 = [False for team_idx in range(num_teams)]
+ print("%2d. " % (i), end='')
+ for g in range(num_groups):
+ j = i * num_groups + g
+ home_team = self.Value(self.__home_teams[j])
+ away_team = self.Value(self.__away_teams[j])
+ matchnum = self.Value(self.__matchnums[j])
+
+ if g == 0:
+ num_times_on_stream[home_team] = num_times_on_stream[home_team] + 1
+ num_times_on_stream[away_team] = num_times_on_stream[away_team] + 1
+
+ tiredness = 0
+ if recently_played_2[home_team]:
+ tiredness = tiredness + 1
+ num_times_tired[home_team] = num_times_tired[home_team] + 1
+ if recently_played_0[home_team]:
+ tiredness = tiredness + 100
+ if recently_played_2[away_team]:
+ tiredness = tiredness + 1
+ num_times_tired[away_team] = num_times_tired[away_team] + 1
+ if recently_played_0[away_team]:
+ tiredness = tiredness + 100
+ recently_played_4[home_team] = True
+ recently_played_4[away_team] = True
+
+ print("%s vs. %s (matchnum %2d, excitedness %d*%2d, tiredness %3d) " % (team_name(home_team), team_name(away_team), matchnum, excitedness[matchnum], excitedness_weight(j), tiredness), end='')
+ print()
+ recently_played_0 = recently_played_1
+ recently_played_1 = recently_played_2
+ recently_played_2 = recently_played_3
+ recently_played_3 = recently_played_4
+ print()
+ print("Number of times on stream: ", end='')
+ print(", ".join(["%s %d" % (team_name(team_idx), num_times_on_stream[team_idx]) for team_idx in range(num_teams)]))
+ print("Number of times tired: ", end='')
+ print(", ".join(["%s %d" % (team_name(team_idx), num_times_tired[team_idx]) for team_idx in range(num_teams)]))
+ print("Stream opponents for non-top-teams:")
+ for team_idx in (2, 3, 4, 5, 8, 9, 10, 11):
+ opp = []
+ for i in range(num_matches // num_groups):
+ home_team = self.Value(self.__home_teams[i * 2])
+ away_team = self.Value(self.__away_teams[i * 2])
+ mark = ""
+ if abs(home_team - away_team) == 1:
+ mark = "*"
+ if team_idx == home_team:
+ opp.append(team_name(away_team) + mark)
+ if team_idx == away_team:
+ opp.append(team_name(home_team) + mark)
+ print(" %s: %s" % (team_name(team_idx), ", ".join(sorted(opp))))
+
+
+def excitedness_weight(match_idx):
+ field = match_idx % num_groups
+ match_order = match_idx // num_groups
+ if field == 0:
+ return match_order + 5
+ else:
+ return match_order
+
+def team_name(team_idx):
+ if team_idx < num_teams_per_group:
+ return "A%d" % (team_idx)
+ else:
+ return "B%d" % (team_idx - num_teams_per_group)
+
+model = cp_model.CpModel()
+
+# Create match variables.
+matchnums = []
+for match_idx in range(num_matches):
+ matchnums.append(model.NewIntVar(0, num_matches - 1, "matchnum(%i)" % (match_idx)))
+model.AddAllDifferent(matchnums)
+
+# Create list of matches.
+match_idx = 0
+excitedness = []
+home_teams_for_match_num = []
+away_teams_for_match_num = []
+for group in range(num_groups):
+ for team_idx_1 in range(num_teams_per_group):
+ for team_idx_2 in range(num_teams_per_group):
+ if team_idx_2 > team_idx_1:
+ real_team_idx_1 = team_idx_1 + num_teams_per_group * group
+ real_team_idx_2 = team_idx_2 + num_teams_per_group * group
+ home_teams_for_match_num.append(real_team_idx_1)
+ away_teams_for_match_num.append(real_team_idx_2)
+ if team_idx_2 - team_idx_1 == 1:
+ excitedness.append(5)
+ elif team_idx_2 - team_idx_1 == 2:
+ excitedness.append(2)
+ else:
+ excitedness.append(0)
+ print("matchnum %2d: %2d vs. %2d, excited: %d" % (match_idx, real_team_idx_1, real_team_idx_2, excitedness[match_idx]))
+ match_idx = match_idx + 1
+
+# Create match variables.
+home_teams = []
+away_teams = []
+for match_idx in range(num_matches):
+ home_teams.append(model.NewIntVar(0, num_teams - 1, "home_team_match%i" % (match_idx)))
+ away_teams.append(model.NewIntVar(0, num_teams - 1, "away_team_match%i" % (match_idx)))
+matches_flat = home_teams + away_teams
+
+for match_idx in range(num_matches):
+ model.AddElement(matchnums[match_idx], home_teams_for_match_num, home_teams[match_idx])
+ model.AddElement(matchnums[match_idx], away_teams_for_match_num, away_teams[match_idx])
+
+# Boolean variables
+home_team_in_match_x_is_y = [[
+ model.NewBoolVar('home_team_in_match_%d_is_%d' % (match_idx, team_idx)) for team_idx in range(num_teams)
+] for match_idx in range(num_matches)]
+
+away_team_in_match_x_is_y = [[
+ model.NewBoolVar('away_team_in_match_%d_is_%d' % (match_idx, team_idx)) for team_idx in range(num_teams)
+] for match_idx in range(num_matches)]
+
+match_x_has_num_y = [[
+ model.NewBoolVar('match_%d_has_number_%d' % (a, b)) for a in range(num_matches)
+] for b in range(num_matches)]
+
+for match_idx in range(num_matches):
+ model.AddMapDomain(matchnums[match_idx], match_x_has_num_y[match_idx])
+ model.AddMapDomain(home_teams[match_idx], home_team_in_match_x_is_y[match_idx])
+ model.AddMapDomain(away_teams[match_idx], away_team_in_match_x_is_y[match_idx])
+
+# Fields always play opposing groups (FIXME?)
+for round_idx in range(num_rounds):
+ field_0_is_group_0 = model.NewBoolVar('field_0_round_%d_is_group_0' % (round_idx))
+ model.AddMaxEquality(field_0_is_group_0, [match_x_has_num_y[round_idx * 2 + 0][match_idx] for match_idx in range(num_rounds)])
+ field_1_is_group_0 = model.NewBoolVar('field_1_round_%d_is_group_0' % (round_idx))
+ model.AddMaxEquality(field_1_is_group_0, [match_x_has_num_y[round_idx * 2 + 1][match_idx] for match_idx in range(num_rounds)])
+ model.AddBoolXOr([field_0_is_group_0, field_1_is_group_0])
+
+# A team can never play on the same field at the same time
+#for team_idx in range(num_teams):
+# for round_idx in range(num_rounds):
+# plays_on_field_0 = model.NewBoolVar('plays_on_field0_t%d_r%d' % (team_idx, round_idx))
+# model.AddMaxEquality(plays_on_field_0, [
+# home_team_in_match_x_is_y[round_idx * 2 + 0][team_idx],
+# away_team_in_match_x_is_y[round_idx * 2 + 0][team_idx]])
+# plays_on_field_1 = model.NewBoolVar('plays_on_field1_t%d_r%d' % (team_idx, round_idx))
+# model.AddMaxEquality(plays_on_field_1, [
+# home_team_in_match_x_is_y[round_idx * 2 + 1][team_idx],
+# away_team_in_match_x_is_y[round_idx * 2 + 1][team_idx]])
+# model.AddBoolOr([plays_on_field_0.Not(), plays_on_field_1.Not()])
+
+plays_in_round = {}
+for team_idx in range(num_teams):
+ plays_in_round[team_idx] = {}
+ for round_idx in range(num_rounds):
+ plays_in_round[team_idx][round_idx] = model.NewBoolVar('plays_in_round_t%d_r%d' % (team_idx, round_idx))
+ model.AddMaxEquality(plays_in_round[team_idx][round_idx], [
+ home_team_in_match_x_is_y[round_idx * 2 + 0][team_idx],
+ home_team_in_match_x_is_y[round_idx * 2 + 1][team_idx],
+ away_team_in_match_x_is_y[round_idx * 2 + 0][team_idx],
+ away_team_in_match_x_is_y[round_idx * 2 + 1][team_idx]])
+
+# A team can never play two matches in a row
+for round_idx in range(num_rounds - 1):
+ for team_idx in range(num_teams):
+ model.AddBoolOr([plays_in_round[team_idx][round_idx].Not(), plays_in_round[team_idx][round_idx + 1].Not()])
+
+# Also, double-tired is not cool
+#for round_idx in range(num_rounds - 4):
+# for team_idx in range(num_teams):
+# model.AddBoolOr([plays_in_round[team_idx][round_idx].Not(), plays_in_round[team_idx][round_idx + 2].Not(), plays_in_round[team_idx][round_idx + 4].Not()])
+#
+# More waiting time is good
+#tired_matches = []
+#for round_idx in range(num_rounds - 2):
+# for team_idx in range(num_teams):
+# tired = model.NewBoolVar('team_%d_is_tired_in_round_%d' % (team_idx, round_idx))
+# model.AddMinEquality(tired, [plays_in_round[team_idx][round_idx], plays_in_round[team_idx][round_idx + 2]])
+# tired_matches.append(tired)
+#sum_tiredness = sum(tired_matches)
+
+# Each team gets play-rest-play exactly once, for fairness
+for team_idx in range(num_teams):
+ tired_matches = []
+ for round_idx in range(num_rounds - 2):
+ tired = model.NewBoolVar('team_%d_is_tired_in_round_%d' % (team_idx, round_idx))
+ model.AddMinEquality(tired, [plays_in_round[team_idx][round_idx], plays_in_round[team_idx][round_idx + 2]])
+ tired_matches.append(tired)
+ model.Add(sum(tired_matches) <= 1)
+sum_tiredness = 0
+
+# TFK can not play the first two matches
+model.AddBoolAnd([plays_in_round[0][0].Not(), plays_in_round[0][1].Not()])
+
+# Group finals come last, and on the stream field.
+model.AddBoolOr([match_x_has_num_y[num_matches - 2][0], match_x_has_num_y[num_matches - 2][num_rounds]])
+model.AddBoolOr([match_x_has_num_y[num_matches - 4][0], match_x_has_num_y[num_matches - 4][num_rounds]])
+
+# Count how many times each team has been on stream.
+stream_penalties = []
+for team_idx in range(num_teams):
+ playing_on_stream = []
+ for round_idx in range(num_rounds):
+ s = model.NewBoolVar('team_%d_plays_on_stream_in_round_%d' % (team_idx, round_idx))
+ model.AddMaxEquality(s, [
+ home_team_in_match_x_is_y[round_idx * 2 + 0][team_idx],
+ away_team_in_match_x_is_y[round_idx * 2 + 0][team_idx]])
+ playing_on_stream.append(s)
+ times_on_stream_this_team = sum(playing_on_stream)
+ model.Add(times_on_stream_this_team >= 1)
+
+ times_stream_var = model.NewIntVar(0, num_teams_per_group, "team_%d_stream_count" % (team_idx))
+ model.Add(times_stream_var == times_on_stream_this_team)
+ #model.Add(times_on_stream_this_team <= 4)
+
+ is_n_times_on_stream = [
+ model.NewBoolVar('team_%d_is_%d_times_on_stream' % (team_idx, i)) for i in range(num_teams_per_group)
+ ]
+ model.AddMapDomain(times_stream_var, is_n_times_on_stream)
+ stream_penalties.append(is_n_times_on_stream[1] * -50)
+ stream_penalties.append(is_n_times_on_stream[4] * -10)
+ stream_penalties.append(is_n_times_on_stream[5] * -50)
+
+# Make sure each team has at least one exciting match on stream.
+#for team_idx in range(team_idx):
+# stream_matches_for_this_team = []
+# for round_idx in range(num_rounds):
+# stream_matches_for_this_team.append(home_team_in_match_x_is_y[round_idx * 2 + 0][team_idx] * excitedness_weight(round_idx * 2 + 0))
+# stream_matches_for_this_team.append(away_team_in_match_x_is_y[round_idx * 2 + 0][team_idx] * excitedness_weight(round_idx * 2 + 0))
+
+# Put the more exciting games later, and on stream fields
+excitement = []
+for round_idx in range(num_rounds):
+ for match_idx in range(match_idx):
+ excitement.append(match_x_has_num_y[round_idx * 2 + 0][match_idx] * excitedness[match_idx] * excitedness_weight(round_idx * 2 + 0))
+ excitement.append(match_x_has_num_y[round_idx * 2 + 1][match_idx] * excitedness[match_idx] * excitedness_weight(round_idx * 2 + 1))
+sum_excitement = sum(excitement)
+objective = sum_excitement - 30 * sum_tiredness + 3 * sum(stream_penalties)
+model.Maximize(objective)
+
+solver = cp_model.CpSolver()
+solution_printer = SolutionPrinterWithObjective(home_teams, away_teams, matchnums, objective)
+status = solver.SolveWithSolutionCallback(model, solution_printer)
projects / ultimatescore / blobdiff