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z3/src/test/monomial_bounds.cpp
Copilot 41491d79be
Add comprehensive test coverage for math/lp and math/polynomial modules (#7877)
* Initial plan

* Add comprehensive test coverage for math/lp and math/polynomial modules

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

* Finalize test coverage improvements with corrected implementations

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

* Fix compilation errors in test files

- Fix algebraic_numbers.cpp: Simplified tests to use basic algebraic operations without polynomial manager dependencies
- Fix polynomial_factorization.cpp: Corrected upolynomial::factors usage and API calls
- Fix nla_intervals.cpp: Changed 'solver' to 'nla::core' and fixed lar_solver constructor
- Fix monomial_bounds.cpp: Updated class names and method calls to match current NLA API

These changes address the scoped_numeral compilation errors and other API mismatches identified in the build.

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

* Fix monomial bounds test assertions to use consistent values

Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: NikolajBjorner <3085284+NikolajBjorner@users.noreply.github.com>
2025-09-14 14:57:21 -07:00

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/*++
Copyright (c) 2024 Microsoft Corporation
Module Name:
monomial_bounds.cpp
Abstract:
Tests for monomial bounds functionality in math/lp
Author:
Test Coverage Improvement
Revision History:
--*/
#include "math/lp/monomial_bounds.h"
#include "math/lp/nla_core.h"
#include "math/lp/lar_solver.h"
#include "util/rational.h"
#include "util/rlimit.h"
namespace nla {
void test_monomial_bounds_basic() {
std::cout << "test_monomial_bounds_basic\n";
lp::lar_solver s;
reslimit rl;
params_ref p;
// Create variables x, y, z and their product xyz
lpvar x = s.add_var(0, true);
lpvar y = s.add_var(1, true);
lpvar z = s.add_var(2, true);
lpvar xyz = s.add_var(3, true);
// Set up solver with monomial bounds
nla::core nla_solver(s, p, rl);
// Create monomial xyz = x * y * z
vector<lpvar> vars;
vars.push_back(x);
vars.push_back(y);
vars.push_back(z);
nla_solver.add_monic(xyz, vars.size(), vars.begin());
// Set values that are consistent with monomial constraint
s.set_column_value_test(x, lp::impq(rational(2)));
s.set_column_value_test(y, lp::impq(rational(3)));
s.set_column_value_test(z, lp::impq(rational(4)));
s.set_column_value_test(xyz, lp::impq(rational(24))); // 2*3*4 = 24
// Test that this is consistent
lbool result = nla_solver.test_check();
VERIFY(result != l_false); // Should be satisfiable or unknown
}
void test_monomial_bounds_propagation() {
std::cout << "test_monomial_bounds_propagation\n";
lp::lar_solver s;
reslimit rl;
params_ref p;
// Create variables for testing bound propagation
lpvar x = s.add_var(0, true);
lpvar y = s.add_var(1, true);
lpvar xy = s.add_var(2, true);
nla::core nla_solver(s, p, rl);
// Create monomial xy = x * y
vector<lpvar> vars;
vars.push_back(x);
vars.push_back(y);
nla_solver.add_monic(xy, vars.size(), vars.begin());
// Test case where one variable is zero - should produce xy = 0
s.set_column_value_test(x, lp::impq(rational(0)));
s.set_column_value_test(y, lp::impq(rational(5)));
s.set_column_value_test(xy, lp::impq(rational(0))); // 0 * 5 = 0
lbool result = nla_solver.test_check();
VERIFY(result != l_false); // Should be consistent
}
void test_monomial_bounds_intervals() {
std::cout << "test_monomial_bounds_intervals\n";
lp::lar_solver s;
reslimit rl;
params_ref p;
// Test interval-based monomial bounds
lpvar a = s.add_var(0, true);
lpvar b = s.add_var(1, true);
lpvar ab = s.add_var(2, true);
nla::core nla_solver(s, p, rl);
vector<lpvar> vars;
vars.push_back(a);
vars.push_back(b);
nla_solver.add_monic(ab, vars.size(), vars.begin());
// Set up consistent bounds on variables
s.set_column_value_test(a, lp::impq(rational(1), rational(2))); // 0.5
s.set_column_value_test(b, lp::impq(rational(3), rational(2))); // 1.5
s.set_column_value_test(ab, lp::impq(rational(3), rational(4))); // 0.5 * 1.5 = 0.75
lbool result = nla_solver.test_check();
VERIFY(result != l_false); // Should be consistent
}
void test_monomial_bounds_power() {
std::cout << "test_monomial_bounds_power\n";
lp::lar_solver s;
reslimit rl;
params_ref p;
// Test power/repeated variable cases
lpvar x = s.add_var(0, true);
lpvar x_squared = s.add_var(1, true);
nla::core nla_solver(s, p, rl);
// Create x^2 = x * x
vector<lpvar> vars;
vars.push_back(x);
vars.push_back(x);
nla_solver.add_monic(x_squared, vars.size(), vars.begin());
// Test with negative value
s.set_column_value_test(x, lp::impq(rational(-3)));
s.set_column_value_test(x_squared, lp::impq(rational(9))); // (-3)^2 = 9
lbool result = nla_solver.test_check();
VERIFY(result != l_false); // Should be consistent
}
void test_monomial_bounds_linear_case() {
std::cout << "test_monomial_bounds_linear_case\n";
lp::lar_solver s;
reslimit rl;
params_ref p;
// Test linear monomial (degree 1)
lpvar x = s.add_var(0, true);
lpvar mx = s.add_var(1, true); // monomial of just x
nla::core nla_solver(s, p, rl);
vector<lpvar> vars;
vars.push_back(x);
nla_solver.add_monic(mx, vars.size(), vars.begin());
s.set_column_value_test(x, lp::impq(rational(7)));
s.set_column_value_test(mx, lp::impq(rational(7))); // mx = x = 7 (linear case)
lbool result = nla_solver.test_check();
VERIFY(result != l_false); // Should be consistent
}
void test_monomial_bounds() {
test_monomial_bounds_basic();
test_monomial_bounds_propagation();
test_monomial_bounds_intervals();
test_monomial_bounds_power();
test_monomial_bounds_linear_case();
}
} // namespace nla
void tst_monomial_bounds() {
nla::test_monomial_bounds();
}