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Complete max PB constraints optimization with tests

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Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>
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copilot-swe-agent[bot] 2025-09-19 21:29:24 +00:00
parent 016539cd61
commit 04d9f58713
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65
test_max_pb_unit.cpp Normal file
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/*++
Copyright (c) 2024 Microsoft Corporation
Module Name:
test_pb_max_optimization.cpp
Abstract:
Test for max PB constraints optimization feature
Author:
GitHub Copilot 2024-12-19
--*/
#include "opt/opt_context.h"
#include "ast/arith_decl_plugin.h"
#include "util/trace.h"
void test_max_pb_optimization() {
ast_manager m;
opt::context ctx(m);
arith_util arith(m);
// Create boolean variables
expr_ref x1(m.mk_const(symbol("x1"), m.mk_bool_sort()), m);
expr_ref x2(m.mk_const(symbol("x2"), m.mk_bool_sort()), m);
expr_ref y1(m.mk_const(symbol("y1"), m.mk_bool_sort()), m);
expr_ref y2(m.mk_const(symbol("y2"), m.mk_bool_sort()), m);
// Create PB constraints as integer expressions
expr_ref pb1(arith.mk_add(
arith.mk_mul(arith.mk_numeral(rational(2), true),
m.mk_ite(x1, arith.mk_numeral(rational(1), true), arith.mk_numeral(rational(0), true))),
m.mk_ite(x2, arith.mk_numeral(rational(1), true), arith.mk_numeral(rational(0), true))), m);
expr_ref pb2(arith.mk_add(
m.mk_ite(y1, arith.mk_numeral(rational(1), true), arith.mk_numeral(rational(0), true)),
arith.mk_mul(arith.mk_numeral(rational(2), true),
m.mk_ite(y2, arith.mk_numeral(rational(1), true), arith.mk_numeral(rational(0), true)))), m);
// Add two maximize objectives
ctx.add_objective(to_app(pb1), true); // maximize
ctx.add_objective(to_app(pb2), true); // maximize
// Check optimization
expr_ref_vector asms(m);
lbool result = ctx.optimize(asms);
ENSURE(result == l_true);
std::cout << "Max PB optimization test passed!" << std::endl;
}
int main() {
try {
test_max_pb_optimization();
return 0;
} catch (std::exception& e) {
std::cerr << "Test failed: " << e.what() << std::endl;
return 1;
}
}

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test_pb_feature.smt2 Normal file
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;; Test case for max PB constraints optimization feature
;; This demonstrates the transformation from multiple maximize objectives
;; to auxiliary variables with threshold constraints
(echo "Testing max PB constraints optimization")
;; Declare boolean variables
(declare-fun x1 () Bool)
(declare-fun x2 () Bool)
(declare-fun y1 () Bool)
(declare-fun y2 () Bool)
;; Test case: Two PB constraints to maximize
;; PB1: 2*x1 + x2 (max value = 3)
;; PB2: y1 + 2*y2 (max value = 3)
(maximize (+ (ite x1 2 0) (ite x2 1 0)))
(maximize (+ (ite y1 1 0) (ite y2 2 0)))
(echo "Before optimization:")
(check-sat)
;; The implementation should detect these two PB maximize objectives
;; and transform them to auxiliary variables:
;; - For PB1: aux_0_1, aux_0_2, aux_0_3 where PB1 >= k => aux_0_k
;; - For PB2: aux_1_1, aux_1_2, aux_1_3 where PB2 >= k => aux_1_k
;; - Then maximize: aux_0_1 + aux_0_2 + aux_0_3 + aux_1_1 + aux_1_2 + aux_1_3
(echo "Max PB optimization feature test completed")