/// <summary>
/// Creates a new BiS solver model.
/// </summary>
/// <param name="solverConfig">Solver configuration</param>
/// <param name="job">Job to solve for</param>
/// <param name="gearChoices">Gear items to choose from. Keep this small.</param>
/// <param name="foodChoices">List of food choices. This can be fairly large, it doesn't add much complexity.</param>
/// <param name="materiaChoices">
/// Dictionary of materia choices; set value to true if the materia is allowed for advanced
/// melding. The materia with the highest eligible stat value is chosen. (Note that Tier is 0-indexed)
/// </param>
//TODO: this is getting out of hand. need config object asap.
//TODO: make model parts pluggable if possible
public BisModel(SolverConfig solverConfig, ClassJob job,
IEnumerable <Equipment> gearChoices, IEnumerable <FoodItem> foodChoices,
IDictionary <MateriaItem, bool> materiaChoices)
{
Model = new Model();
SolverConfig = solverConfig;
Job = job;
JobConfig = SolverConfig.JobConfigs[Job];
GearChoices = gearChoices.ToList();
FoodChoices = foodChoices.ToList();
// collect stats we care about
RelevantStats = JobConfig.Weights.Keys.Union(JobConfig.StatRequirements.Keys).ToList();
// we don't care about materia which affect unneeded stats
MateriaChoices = materiaChoices.Where(m => RelevantStats.Contains(m.Key.BaseParam))
.ToDictionary(k => k.Key, k => k.Value);
var allEquipSlots = GearChoices.SelectMany(g => g.EquipSlotCategory.PossibleSlots).ToList();
gear = new VariableCollection <EquipSlot, Equipment>(Model, allEquipSlots, GearChoices,
type: VariableType.Binary,
debugNameGenerator: (s, e) => new StringBuilder().AppendFormat("{0}_{1}", s, e),
lowerBoundGenerator: (s, e) => CheckRequired(e) ? 1 : 0);
food = new VariableCollection <FoodItem>(Model, FoodChoices,
type: VariableType.Binary,
debugNameGenerator: e => new StringBuilder().AppendFormat("{0}", e.Item),
lowerBoundGenerator: i => CheckRequired(i.Item) ? 1 : 0);
foodcap = new VariableCollection <FoodItem, BaseParam>(Model, FoodChoices, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: (i, bp) => new StringBuilder().AppendFormat("{0}_{1}_cap", i.Item, bp),
lowerBoundGenerator: (x, b) => 0);
materia = new VariableCollection <EquipSlot, Equipment, MateriaItem>(Model, allEquipSlots, GearChoices, MateriaChoices.Keys,
type: VariableType.Integer,
debugNameGenerator: (s, e, m) => new StringBuilder().AppendFormat("{2}_{0}_{1}", s, e, m),
lowerBoundGenerator: (s, e, bp) => 0,
upperBoundGenerator: (s, e, b) => e.TotalMateriaSlots());
cap = new VariableCollection <EquipSlot, Equipment, BaseParam>(Model, allEquipSlots, GearChoices, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: (s, e, bp) => new StringBuilder().AppendFormat("{2}_cap_{0}_{1}", s, e, bp),
lowerBoundGenerator: (s, e, b) => 0);
relicBase = new VariableCollection <EquipSlot, Equipment, BaseParam>(Model, allEquipSlots, GearChoices, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: (s, e, bp) => new StringBuilder().AppendFormat("{2}_relic_base_{0}_{1}", s, e, bp),
lowerBoundGenerator: (s, e, b) => 0);
stat = new VariableCollection <BaseParam>(Model, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: bp => new StringBuilder().AppendFormat("gear_materia__{0}", bp),
lowerBoundGenerator: x => 0);
modstat = new VariableCollection <BaseParam>(Model, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: bp => new StringBuilder().AppendFormat("added_food_{0}", bp),
lowerBoundGenerator: x => 0);
allocstat = new VariableCollection <BaseParam>(Model, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: bp => new StringBuilder().AppendFormat("allocated_{0}", bp),
lowerBoundGenerator: x => 0, upperBoundGenerator: x => SolverConfig.AllocatedStatsCap);
tieredstat = new VariableCollection <BaseParam>(Model, RelevantStats,
type: VariableType.Integer,
debugNameGenerator: bp => new StringBuilder().AppendFormat("tiered_{0}", bp),
lowerBoundGenerator: x => 0);
Model.AddConstraint(
Expression.Sum(RelevantStats.Where(bp => MainStats.Contains(bp.Name)).Select(bp => allocstat[bp])) <=
SolverConfig.AllocatedStatsCap,
"cap allocatable stats");
StatExprs = RelevantStats.ToDictionary(bp => bp, bp => Expression.EmptyExpression);
FoodExprs = RelevantStats.ToDictionary(bp => bp, bp => (Expression)stat[bp]);
SolverConfig.BaseStats.ForEach(kv => StatExprs[kv.Key] = kv.Value + Expression.EmptyExpression);
CreateGearModel();
CreateMateriaOrdering();
CreateFoodModel();
CreateTiers();
CreateObjective();
}
/// <summary>
/// Creates a new BiS solver model.
/// </summary>
/// <param name="weights">Stat weights. The higher the weight, the more a stat is desirable</param>
/// <param name="statReqs">Minimum amount of stats that must be present in a solution</param>
/// <param name="baseStats">Stats of a character without any gear</param>
/// <param name="gearChoices">Gear items to choose from. Keep this small.</param>
/// <param name="foodChoices">List of food choices. This can be fairly large, it doesn't add much complexity.</param>
/// <param name="materiaChoices">
/// Dictionary of materia choices; set value to true if the materia is allowed for advanced
/// melding. The materia with the highest eligible stat value is chosen. (Note that Tier is 0-indexed)
/// </param>
/// <param name="relicCaps">Designates customizable relics. Value of an entry determines the total stat cap.</param>
/// <param name="overmeldThreshold">
/// Extend the overmelding threshold --- i.e. if you set overmeldThreshold to n, materia
/// from materiaChoices that isn't normally allowed in advanced melds can be used up to n times in advanced meld
/// </param>
/// <param name="allocStatCap">Cap for allocatable stats. Default is 35</param>
/// <param name="maximizeUnweightedValues">Maximize unweighted values with a small weight (1e-5)</param>
//TODO: this is getting out of hand. need config object asap.
//TODO: make model parts pluggable if possible
public BisModel(IDictionary <BaseParam, double> weights, IDictionary <BaseParam, int> statReqs,
IDictionary <BaseParam, int> baseStats, IEnumerable <Equipment> gearChoices, IEnumerable <FoodItem> foodChoices,
IDictionary <MateriaItem, bool> materiaChoices, IDictionary <Equipment, int> relicCaps = null,
int overmeldThreshold = 0, int allocStatCap = 35, bool maximizeUnweightedValues = true)
{
Model = new Model();
StatRequirements = statReqs;
Weights = weights;
GearChoices = gearChoices.ToList();
FoodChoices = foodChoices.ToList();
RelicCaps = relicCaps;
OvermeldThreshold = overmeldThreshold;
MaximizeUnweightedValues = maximizeUnweightedValues;
// collect stats we care about
RelevantStats = Weights.Keys.Union(StatRequirements.Keys).ToList();
// we don't care about materia which affect unneeded stats
MateriaChoices = materiaChoices.Where(m => RelevantStats.Contains(m.Key.BaseParam))
.ToDictionary(k => k.Key, k => k.Value);
var allEquipSlots = GearChoices.SelectMany(g => g.EquipSlotCategory.PossibleSlots).ToList();
gear = new VariableCollection <EquipSlot, Equipment>(Model, allEquipSlots, GearChoices,
type: VariableType.Binary);
food = new VariableCollection <FoodItem>(Model, FoodChoices, type: VariableType.Binary);
foodcap = new VariableCollection <FoodItem, BaseParam>(Model, FoodChoices, RelevantStats,
type: VariableType.Integer,
lowerBoundGenerator: (x, b) => 0);
materia = new VariableCollection <EquipSlot, Equipment, MateriaItem>(Model, allEquipSlots, GearChoices,
MateriaChoices.Keys,
type: VariableType.Integer, lowerBoundGenerator: (s, e, bp) => 0);
cap = new VariableCollection <EquipSlot, Equipment, BaseParam>(Model, allEquipSlots, GearChoices,
RelevantStats, type: VariableType.Integer, lowerBoundGenerator: (s, e, b) => 0);
stat = new VariableCollection <BaseParam>(Model, RelevantStats, type: VariableType.Integer,
lowerBoundGenerator: x => 0);
modstat = new VariableCollection <BaseParam>(Model, RelevantStats, type: VariableType.Integer,
lowerBoundGenerator: x => 0);
allocstat = new VariableCollection <BaseParam>(Model, RelevantStats, type: VariableType.Integer,
lowerBoundGenerator: x => 0);
Model.AddConstraint(
Expression.Sum(RelevantStats.Where(bp => MainStats.Contains(bp.Name)).Select(bp => allocstat[bp])) <=
allocStatCap,
"cap allocatable stats");
StatExprs = RelevantStats.ToDictionary(bp => bp, bp => Expression.EmptyExpression);
FoodExprs = RelevantStats.ToDictionary(bp => bp, bp => (Expression)stat[bp]);
baseStats.ForEach(kv => StatExprs[kv.Key] = kv.Value + Expression.EmptyExpression);
var bigM = 50 *
GearChoices.Select(
g =>
g.AllParameters.Select(
p => p.Values.OfType <ParameterValueFixed>().Select(v => v.Amount).Max())
.Max()).Max();
CreateGearModel();
CreateFoodModel();
CreateObjective();
}