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Constraint Programming Solver
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test/propagators/all_different/all_different_dc_test.exs
defmodule CPSolverTest.Propagator.AllDifferent.DC do
use ExUnit.Case
alias CPSolver.IntVariable, as: Variable
alias CPSolver.Variable.Interface
alias CPSolver.Propagator
alias CPSolver.Propagator.AllDifferent.DC, as: DC
describe "Initial filtering" do
test "reduction" do
domains = [1..2, 1, 2..6, 2..6]
vars = [x0, _x1, x2, x3] =
Enum.map(domains, fn d -> Variable.new(d) end)
dc_propagator = DC.new(vars)
%{changes: changes, active?: active?} = Propagator.filter(dc_propagator)
## Value 1 removed from x0
assert Interface.min(x0) == 2
## Value 2 is removed from variables x2 and x3
assert Interface.min(x2) == 3 && Interface.min(x3) == 3
## Changes: x0 is fixed, x2 and x3 chnge their minimum
assert changes[x0.id] == :fixed
assert changes[x2.id] == :min_change
assert changes[x3.id] == :min_change
## The propagator is active
assert active?
end
test "cascading filtering" do
## all variables become fixed, and this will take a single filtering call.
##
x_vars =
Enum.map([{"x2", 1..2}, {"x1", 1}, {"x3", 1..3}, {"x4", 1..4}, {"x5", 1..5}], fn {name, d} ->
Variable.new(d, name: name)
end)
dc_propagator = DC.new(x_vars)
%{changes: changes, active?: active?} = Propagator.filter(dc_propagator)
## The propagator is passive
refute active?
assert map_size(changes) == length(x_vars) - 1
assert Enum.all?(Map.values(changes), fn change -> change == :fixed end)
## All variables are now fixed
assert Enum.all?(x_vars, &Interface.fixed?/1)
end
test "inconsistency (pigeonhole)" do
domains = List.duplicate(1..3, 4)
vars =
Enum.map(domains, fn d -> Variable.new(d) end)
dc_propagator = DC.new(vars)
assert Propagator.filter(dc_propagator) == :fail
end
end
end