defmodule CPSolverTest.Search.FirstFail do use ExUnit.Case alias CPSolver.IntVariable, as: Variable alias CPSolver.DefaultDomain, as: Domain alias CPSolver.Search alias CPSolver.Search.Partition describe "First-fail search strategy" do alias CPSolver.Search.VariableSelector, as: SearchStrategy import CPSolver.Test.Helpers test ":first_fail and :indomain_min" do v0_values = 0..0 v1_values = 1..10 # This domain (will be assigned to `v2` variable) is the smallest among unfixed v2_values = 0..5 v3_values = 1..1 v4_values = -5..5 values = [v0_values, v1_values, v2_values, v3_values, v4_values] variables = Enum.map(values, fn d -> Variable.new(d) end) {:ok, bound_vars, _store} = create_store(variables) # first_fail chooses among unfixed variables selected_variable = SearchStrategy.select_variable(variables, nil, :first_fail) assert selected_variable.id in Enum.map([1, 2, 4], fn var_pos -> Enum.at(bound_vars, var_pos) |> Map.get(:id) end) # indomain_min splits domain of selected variable into min and the rest of the domain {:ok, [{min_value_partition, _equal_constraint}, {no_min_partition, _not_equal_constraint}]} = Partition.partition(selected_variable, :indomain_min) min_value = Domain.min(min_value_partition) assert Domain.to_list(no_min_partition) |> Enum.sort() == List.delete(Enum.to_list(v2_values), min_value) |> Enum.sort() end test "first_fail fails if no unfixed variables" do v0_values = 0..0 v1_values = 1..1 v2_values = -2..-2 v3_values = 1..1 v4_values = 5..5 values = [v0_values, v1_values, v2_values, v3_values, v4_values] variables = Enum.map(values, fn d -> Variable.new(d) end) {:ok, _bound_vars, _store} = create_store(variables) assert catch_throw(Search.branch(variables, {:first_fail, :indomain_min})) == SearchStrategy.all_vars_fixed_exception() end test "branch creation" do v0_values = 0..0 v1_values = 1..10 # This domain is the smallest among unfixed v2_values = 0..5 v3_values = 1..1 v4_values = -5..5 values = [v0_values, v1_values, v2_values, v3_values, v4_values] variables = Enum.map(values, fn d -> Variable.new(d) end) {:ok, bound_vars, _store} = create_store(variables) [b_left, b_right] = branches = Search.branch(bound_vars, {:first_fail, :indomain_min}) refute b_left == b_right ## Each branch has the same number of variables, as the original list of vars assert Enum.all?(branches, fn {branch, _constraint} -> length(branch) == length(variables) end) ## Left branch contains v2 variable fixed at 0 assert Enum.at(b_left |> elem(0), 2) |> Map.get(:domain) |> then(fn domain -> Domain.size(domain) == 1 && Domain.min(domain) == 0 end) ## Right branch contains v2 variable with 0 removed refute Enum.at(b_right |> elem(0), 2) |> Map.get(:domain) |> Domain.contains?(0) end end describe "Misc strategies" do alias CPSolver.Search.VariableSelector.MaxRegret, as: MaxRegretSelector test "max_regret selector" do domains = [1..3, [2, 10, 11], [3, 12, 15], [6, 15]] variables = Enum.map(Enum.with_index(domains, 1), fn {d, idx} -> Variable.new(d, name: idx) end) [var1, var2] = MaxRegretSelector.select(variables, :ignore, :ignore) ## Chooses variables with largest difference between 2 smallest values ## diff(1) = 1, diff(2) = 8, diff(3) = diff(4) = 9 assert var1.name in [3, 4] && var2.name in [3, 4] end test "indomain_split" do var = Variable.new([1, 2, 3, 4, 5]) {:ok, [p1, p2]} = Partition.partition(var, :indomain_split) p1_domain = elem(p1, 0) assert Domain.to_list(p1_domain) == MapSet.new([1, 2, 3]) p2_domain = elem(p2, 0) assert Domain.to_list(p2_domain) == MapSet.new([4, 5]) end end end