defmodule CPSolver.Constraint.Factory do alias CPSolver.Constraint.{ Sum, ElementVar, Element2D, Modulo, Absolute, LessOrEqual, Equal, Reified } alias CPSolver.Propagator.Modulo, as: ModuloPropagator alias CPSolver.IntVariable, as: Variable alias CPSolver.BooleanVariable alias CPSolver.Variable.Interface alias CPSolver.DefaultDomain, as: Domain alias CPSolver.Variable.View.Factory, as: ViewFactory def element(array, x, opts \\ []) do y_domain = Enum.reduce(array, MapSet.new(), fn el, acc -> Interface.domain(el) |> Domain.to_list() |> MapSet.union(acc) end) |> MapSet.to_list() y = Variable.new(y_domain, name: Keyword.get(opts, :name, make_ref())) result(y, ElementVar.new(array, x, y)) end def element2d(array2d, x, y, opts \\ []) do domain = array2d |> List.flatten() z = Variable.new(domain, name: Keyword.get(opts, :name, make_ref())) result(z, Element2D.new([array2d, x, y, z])) end def element2d_var(array2d, x, y, opts \\ []) do num_rows = length(array2d) num_cols = length(hd(array2d)) Interface.removeBelow(x, 0) Interface.removeAbove(x, num_rows - 1) Interface.removeBelow(y, 0) Interface.removeAbove(y, num_cols - 1) {flat_idx_var, sum_constraint} = add(ViewFactory.mul(x, num_cols), y, domain: 0..num_rows * num_cols - 1) {z, element_constraint} = element(List.flatten(array2d), flat_idx_var, opts) {z, [sum_constraint, element_constraint]} end def sum(vars, opts \\ []) do domain = case opts[:domain] do nil -> {domain_min, domain_max} = Enum.reduce(vars, {0, 0}, fn var, {min_acc, max_acc} -> domain = Interface.domain(var) |> Domain.to_list() {min_acc + Enum.min(domain), max_acc + Enum.max(domain)} end) domain_min..domain_max d -> d end sum_var = Variable.new(domain, name: Keyword.get(opts, :name, make_ref())) result(sum_var, Sum.new(sum_var, vars)) end def count(array, y, c) do {b_vars, reif_propagators} = for a <- array, reduce: {[], []} do {vars_acc, propagators_acc} -> b = BooleanVariable.new() equal_p = Reified.new([Equal.new(a, y), b]) {[b | vars_acc], [equal_p | propagators_acc]} end Interface.removeBelow(c, 0) Interface.removeAbove(c, length(array)) [Sum.new(c, b_vars) | reif_propagators] end def add(var1, var2, opts \\ []) do sum([var1, var2], opts) end def subtract(var1, var2, opts \\ []) do add(var1, ViewFactory.linear(var2, -1, 0), opts) end def mod(x, y, opts \\ []) do domain = Keyword.get(opts, :domain) || ( {lb, ub} = ModuloPropagator.mod_bounds(x, y) lb..ub ) mod_var = Variable.new(domain, name: Keyword.get(opts, :name, make_ref())) result(mod_var, Modulo.new(mod_var, x, y)) end def absolute(x, opts \\ []) do domain = Keyword.get(opts, :domain) || ( abs_min = abs(Interface.min(x)) abs_max = abs(Interface.max(x)) 0..max(abs_min, abs_max) ) abs_var = Variable.new(domain, name: Keyword.get(opts, :name, make_ref())) result(abs_var, Absolute.new(x, abs_var)) end defp compose(constraint1, constraint2, relation) do b1 = BooleanVariable.new() b2 = BooleanVariable.new() reif_c1 = Reified.new([constraint1, b1]) reif_c2 = Reified.new([constraint2, b2]) %{constraints: [reif_c1, reif_c2, relation.new([b1, b2])], derived_variables: [b1, b2]} end ## Implication, equivalence, inverse implication. ## These function produce the list of constraints: ## - 2 reified constraints for constraint1 and constraint2 ## - relational constraint (LessOrEqual for implications, Equal for equivalence) ## over control variables induced by reified constraints. ## def impl(constraint1, constraint2) do compose(constraint1, constraint2, LessOrEqual) end def equiv(constraint1, constraint2) do compose(constraint1, constraint2, Equal) end def inverse_impl(constraint1, constraint2) do impl(constraint2, constraint1) end defp result(derived_variable, constraint) do {derived_variable, constraint} end end