mirror of
https://github.com/Z3Prover/z3
synced 2025-04-27 10:55:50 +00:00
Handle correctly cancelled run (#5695)
* remove the bound on total iterations in simplex
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* remove unncesseray checks in get_freedom_interval_for_column()
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* fix the build of test-z3
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* Revert "remove unncesseray checks in get_freedom_interval_for_column()"
This reverts commit 6770ed85e3.
* optimize get_freedom_interval_for_column() for feasible case
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* add function lar_solver::status_feasible
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* rename status_is_feasible() to is_feasible()
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
* fix the linux build
Signed-off-by: Lev Nachmanson <levnach@hotmail.com>
This commit is contained in:
Lev Nachmanson
GitHub
parent
0242566792
commit
7758b519bc
13 changed files with 55 additions and 72 deletions
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@ -324,6 +324,7 @@ static void set_upper(impq & u, bool & inf_u, impq const & v) {
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}
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}
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// this function assumes that all basic columns dependend on j are feasible
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bool int_solver::get_freedom_interval_for_column(unsigned j, bool & inf_l, impq & l, bool & inf_u, impq & u, mpq & m) {
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if (lrac.m_r_heading[j] >= 0) // the basic var
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return false;
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@ -360,13 +361,12 @@ bool int_solver::get_freedom_interval_for_column(unsigned j, bool & inf_l, impq
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const mpq & a = c.coeff();
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unsigned i = lrac.m_r_basis[row_index];
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impq const & xi = get_value(i);
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lp_assert(lrac.m_r_solver.column_is_feasible(i));
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if (column_is_int(i) && !a.is_int())
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m = lcm(m, denominator(a));
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if (!inf_l && !inf_u) {
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if (l > u)
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break;
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if (l == u)
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continue;
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}
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@ -179,11 +179,17 @@ void lar_core_solver::solve() {
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}
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lp_assert(!settings().use_tableau() || r_basis_is_OK());
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}
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if (m_r_solver.get_status() == lp_status::INFEASIBLE) {
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switch (m_r_solver.get_status())
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{
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case lp_status::INFEASIBLE:
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fill_not_improvable_zero_sum();
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}
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else if (m_r_solver.get_status() != lp_status::UNBOUNDED) {
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break;
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case lp_status::CANCELLED:
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case lp_status::UNBOUNDED: // do nothing in these cases
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break;
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default: // adjust the status to optimal
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m_r_solver.set_status(lp_status::OPTIMAL);
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break;
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}
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lp_assert(r_basis_is_OK());
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lp_assert(m_r_solver.non_basic_columns_are_set_correctly());
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@ -798,6 +798,18 @@ namespace lp {
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}
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// this function just looks at the status
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bool lar_solver::is_feasible() const {
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switch (this->get_status()) {
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case lp_status::OPTIMAL:
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case lp_status::FEASIBLE:
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case lp_status::UNBOUNDED:
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return true;
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default:
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return false;
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}
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}
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numeric_pair<mpq> lar_solver::get_basic_var_value_from_row(unsigned i) {
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numeric_pair<mpq> r = zero_of_type<numeric_pair<mpq>>();
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@ -296,6 +296,8 @@ class lar_solver : public column_namer {
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mutable mpq m_delta;
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public:
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// this function just looks at the status
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bool is_feasible() const;
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const map<mpq, unsigned, obj_hash<mpq>, default_eq<mpq>>& fixed_var_table_int() const {
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return m_fixed_var_table_int;
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}
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@ -100,10 +100,7 @@ template <typename T, typename X> bool lp_dual_core_solver<T, X>::done() {
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if (this->get_status() == lp_status::OPTIMAL) {
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return true;
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}
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if (this->total_iterations() > this->m_settings.max_total_number_of_iterations) { // debug !!!!
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this->set_status(lp_status::ITERATIONS_EXHAUSTED);
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return true;
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}
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return false; // todo, need to be more cases
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}
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@ -747,6 +744,6 @@ template <typename T, typename X> void lp_dual_core_solver<T, X>::solve() { // s
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one_iteration();
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} while (this->get_status() != lp_status::FLOATING_POINT_ERROR && this->get_status() != lp_status::DUAL_UNBOUNDED && this->get_status() != lp_status::OPTIMAL &&
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this->iters_with_no_cost_growing() <= this->m_settings.max_number_of_iterations_with_no_improvements
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&& this->total_iterations() <= this->m_settings.max_total_number_of_iterations);
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);
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}
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}
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@ -31,9 +31,6 @@ template <typename T, typename X> void lp_dual_simplex<T, X>::decide_on_status_a
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break;
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case lp_status::DUAL_UNBOUNDED:
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lp_unreachable();
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case lp_status::ITERATIONS_EXHAUSTED:
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this->m_status = lp_status::ITERATIONS_EXHAUSTED;
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break;
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case lp_status::TIME_EXHAUSTED:
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this->m_status = lp_status::TIME_EXHAUSTED;
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break;
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@ -956,8 +956,6 @@ template <typename T, typename X> unsigned lp_primal_core_solver<T, X>::solve()
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&&
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this->iters_with_no_cost_growing() <= this->m_settings.max_number_of_iterations_with_no_improvements
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&&
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this->total_iterations() <= this->m_settings.max_total_number_of_iterations
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&&
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!(this->current_x_is_feasible() && this->m_look_for_feasible_solution_only));
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lp_assert(this->get_status() == lp_status::FLOATING_POINT_ERROR
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@ -1097,10 +1095,8 @@ template <typename T, typename X> bool lp_primal_core_solver<T, X>::done() {
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return true;
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}
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if (this->m_iters_with_no_cost_growing >= this->m_settings.max_number_of_iterations_with_no_improvements) {
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this->get_status() = lp_status::ITERATIONS_EXHAUSTED; return true;
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}
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if (this->total_iterations() >= this->m_settings.max_total_number_of_iterations) {
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this->get_status() = lp_status::ITERATIONS_EXHAUSTED; return true;
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this->set_status(lp_status::CANCELLED);
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return true;
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}
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return false;
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}
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@ -182,9 +182,7 @@ unsigned lp_primal_core_solver<T, X>::solve_with_tableau() {
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if (this->m_settings.get_cancel_flag()
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this->iters_with_no_cost_growing() > this->m_settings.max_number_of_iterations_with_no_improvements
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this->total_iterations() > this->m_settings.max_total_number_of_iterations
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) {
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) {
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this->set_status(lp_status::CANCELLED);
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break; // from the loop
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}
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@ -71,7 +71,6 @@ enum class lp_status {
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FEASIBLE,
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FLOATING_POINT_ERROR,
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TIME_EXHAUSTED,
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ITERATIONS_EXHAUSTED,
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EMPTY,
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UNSTABLE,
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CANCELLED
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@ -210,7 +209,6 @@ public:
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double harris_feasibility_tolerance { 1e-7 }; // page 179 of Istvan Maros
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double ignore_epsilon_of_harris { 10e-5 };
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unsigned max_number_of_iterations_with_no_improvements { 2000000 };
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unsigned max_total_number_of_iterations { 20000000 };
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double time_limit; // the maximum time limit of the total run time in seconds
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// dual section
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double dual_feasibility_tolerance { 1e-7 }; // page 71 of the PhD thesis of Achim Koberstein
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@ -45,7 +45,6 @@ const char* lp_status_to_string(lp_status status) {
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case lp_status::FEASIBLE: return "FEASIBLE";
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case lp_status::FLOATING_POINT_ERROR: return "FLOATING_POINT_ERROR";
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case lp_status::TIME_EXHAUSTED: return "TIME_EXHAUSTED";
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case lp_status::ITERATIONS_EXHAUSTED: return "ITERATIONS_EXHAUSTED";
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case lp_status::EMPTY: return "EMPTY";
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case lp_status::UNSTABLE: return "UNSTABLE";
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default:
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@ -62,7 +61,6 @@ lp_status lp_status_from_string(std::string status) {
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if (status == "FEASIBLE") return lp_status::FEASIBLE;
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if (status == "FLOATING_POINT_ERROR") return lp_status::FLOATING_POINT_ERROR;
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if (status == "TIME_EXHAUSTED") return lp_status::TIME_EXHAUSTED;
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if (status == "ITERATIONS_EXHAUSTED") return lp_status::ITERATIONS_EXHAUSTED;
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if (status == "EMPTY") return lp_status::EMPTY;
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lp_unreachable();
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return lp_status::UNKNOWN; // it is unreachable
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@ -158,13 +158,7 @@ public:
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m_settings.time_limit = time_limit_in_seconds;
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}
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void set_max_iterations_per_stage(unsigned max_iterations) {
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m_settings.max_total_number_of_iterations = max_iterations;
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}
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unsigned get_max_iterations_per_stage() const {
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return m_settings.max_total_number_of_iterations;
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}
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protected:
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bool problem_is_empty();
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@ -3095,7 +3095,7 @@ public:
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default:
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TRACE("arith", tout << "status treated as inconclusive: " << status << "\n";);
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// TENTATIVE_UNBOUNDED, UNBOUNDED, TENTATIVE_DUAL_UNBOUNDED, DUAL_UNBOUNDED,
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// FLOATING_POINT_ERROR, TIME_EXAUSTED, ITERATIONS_EXHAUSTED, EMPTY, UNSTABLE
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// FLOATING_POINT_ERROR, TIME_EXAUSTED, EMPTY, UNSTABLE
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return l_undef;
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}
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}
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@ -1396,10 +1396,7 @@ void update_settings(argument_parser & args_parser, lp_settings& settings) {
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}
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template <typename T, typename X>
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void setup_solver(unsigned max_iterations, unsigned time_limit, bool look_for_min, argument_parser & args_parser, lp_solver<T, X> * solver) {
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if (max_iterations > 0)
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solver->set_max_iterations_per_stage(max_iterations);
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void setup_solver(unsigned time_limit, bool look_for_min, argument_parser & args_parser, lp_solver<T, X> * solver) {
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if (time_limit > 0)
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solver->set_time_limit(time_limit);
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@ -1429,7 +1426,7 @@ void compare_solutions(mps_reader<double, double> & reader, lp_solver<double, do
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}
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void solve_mps_double(std::string file_name, bool look_for_min, unsigned max_iterations, unsigned time_limit, bool dual, bool compare_with_primal, argument_parser & args_parser) {
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void solve_mps_double(std::string file_name, bool look_for_min, unsigned time_limit, bool dual, bool compare_with_primal, argument_parser & args_parser) {
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mps_reader<double, double> reader(file_name);
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reader.read();
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if (!reader.is_ok()) {
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@ -1438,7 +1435,7 @@ void solve_mps_double(std::string file_name, bool look_for_min, unsigned max_ite
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}
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lp_solver<double, double> * solver = reader.create_solver(dual);
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setup_solver(max_iterations, time_limit, look_for_min, args_parser, solver);
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setup_solver(time_limit, look_for_min, args_parser, solver);
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stopwatch sw;
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sw.start();
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if (dual) {
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@ -1461,7 +1458,7 @@ void solve_mps_double(std::string file_name, bool look_for_min, unsigned max_ite
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std::cout << "processed in " << span / 1000.0 << " seconds, running for " << solver->m_total_iterations << " iterations" << " one iter for " << (double)span/solver->m_total_iterations << " ms" << std::endl;
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if (compare_with_primal) {
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auto * primal_solver = reader.create_solver(false);
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setup_solver(max_iterations, time_limit, look_for_min, args_parser, primal_solver);
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setup_solver(time_limit, look_for_min, args_parser, primal_solver);
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primal_solver->find_maximal_solution();
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if (solver->get_status() != primal_solver->get_status()) {
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std::cout << "statuses are different: dual " << lp_status_to_string(solver->get_status()) << " primal = " << lp_status_to_string(primal_solver->get_status()) << std::endl;
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@ -1489,12 +1486,12 @@ void solve_mps_double(std::string file_name, bool look_for_min, unsigned max_ite
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delete solver;
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}
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void solve_mps_rational(std::string file_name, bool look_for_min, unsigned max_iterations, unsigned time_limit, bool dual, argument_parser & args_parser) {
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void solve_mps_rational(std::string file_name, bool look_for_min, unsigned time_limit, bool dual, argument_parser & args_parser) {
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mps_reader<lp::mpq, lp::mpq> reader(file_name);
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reader.read();
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if (reader.is_ok()) {
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auto * solver = reader.create_solver(dual);
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setup_solver(max_iterations, time_limit, look_for_min, args_parser, solver);
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setup_solver(time_limit, look_for_min, args_parser, solver);
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stopwatch sw;
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sw.start();
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solver->find_maximal_solution();
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@ -1516,27 +1513,27 @@ void solve_mps_rational(std::string file_name, bool look_for_min, unsigned max_i
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std::cout << "cannot process " << file_name << std::endl;
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}
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}
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void get_time_limit_and_max_iters_from_parser(argument_parser & args_parser, unsigned & time_limit, unsigned & max_iters); // forward definition
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void get_time_limit_and_max_iters_from_parser(argument_parser & args_parser, unsigned & time_limit); // forward definition
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void solve_mps(std::string file_name, bool look_for_min, unsigned max_iterations, unsigned time_limit, bool solve_for_rational, bool dual, bool compare_with_primal, argument_parser & args_parser) {
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void solve_mps(std::string file_name, bool look_for_min, unsigned time_limit, bool solve_for_rational, bool dual, bool compare_with_primal, argument_parser & args_parser) {
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if (!solve_for_rational) {
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std::cout << "solving " << file_name << std::endl;
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solve_mps_double(file_name, look_for_min, max_iterations, time_limit, dual, compare_with_primal, args_parser);
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solve_mps_double(file_name, look_for_min, time_limit, dual, compare_with_primal, args_parser);
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}
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else {
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std::cout << "solving " << file_name << " in rationals " << std::endl;
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solve_mps_rational(file_name, look_for_min, max_iterations, time_limit, dual, args_parser);
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solve_mps_rational(file_name, look_for_min, time_limit, dual, args_parser);
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}
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}
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void solve_mps(std::string file_name, argument_parser & args_parser) {
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bool look_for_min = args_parser.option_is_used("--min");
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unsigned max_iterations, time_limit;
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unsigned time_limit;
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bool solve_for_rational = args_parser.option_is_used("--mpq");
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bool dual = args_parser.option_is_used("--dual");
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bool compare_with_primal = args_parser.option_is_used("--compare_with_primal");
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get_time_limit_and_max_iters_from_parser(args_parser, time_limit, max_iterations);
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solve_mps(file_name, look_for_min, max_iterations, time_limit, solve_for_rational, dual, compare_with_primal, args_parser);
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get_time_limit_and_max_iters_from_parser(args_parser, time_limit);
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solve_mps(file_name, look_for_min, time_limit, solve_for_rational, dual, compare_with_primal, args_parser);
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}
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void solve_mps_in_rational(std::string file_name, bool dual, argument_parser & /*args_parser*/) {
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@ -1903,7 +1900,7 @@ void process_test_file(std::string test_dir, std::string test_file_name, argumen
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void solve_some_mps(argument_parser & args_parser) {
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unsigned max_iters, time_limit;
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get_time_limit_and_max_iters_from_parser(args_parser, time_limit, max_iters);
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get_time_limit_and_max_iters_from_parser(args_parser, time_limit);
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unsigned successes = 0;
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unsigned failures = 0;
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unsigned inconclusives = 0;
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@ -1935,7 +1932,7 @@ void solve_some_mps(argument_parser & args_parser) {
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return;
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}
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if (!solve_for_rational) {
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solve_mps(file_names[6], false, 0, time_limit, false, dual, compare_with_primal, args_parser);
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solve_mps(file_names[6], false, time_limit, false, dual, compare_with_primal, args_parser);
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solve_mps_with_known_solution(file_names[3], nullptr, lp_status::INFEASIBLE, dual); // chvatal: 135(d)
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std::unordered_map<std::string, double> sol;
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sol["X1"] = 0;
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@ -1960,11 +1957,11 @@ void solve_some_mps(argument_parser & args_parser) {
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solve_mps_with_known_solution(file_names[4], &sol, lp_status::OPTIMAL, dual); // chvatal: 135(e)
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solve_mps_with_known_solution(file_names[2], nullptr, lp_status::UNBOUNDED, dual); // chvatal: 135(c)
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solve_mps_with_known_solution(file_names[1], nullptr, lp_status::UNBOUNDED, dual); // chvatal: 135(b)
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solve_mps(file_names[8], false, 0, time_limit, false, dual, compare_with_primal, args_parser);
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solve_mps(file_names[8], false, time_limit, false, dual, compare_with_primal, args_parser);
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// return;
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for (auto& s : file_names) {
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try {
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solve_mps(s, minimums.find(s) != minimums.end(), max_iters, time_limit, false, dual, compare_with_primal, args_parser);
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solve_mps(s, minimums.find(s) != minimums.end(), time_limit, false, dual, compare_with_primal, args_parser);
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}
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catch(const char *s){
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std::cout<< "exception: "<< s << std::endl;
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@ -2315,14 +2312,7 @@ void finalize(unsigned ret) {
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// return ret;
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}
|
||||
|
||||
void get_time_limit_and_max_iters_from_parser(argument_parser & args_parser, unsigned & time_limit, unsigned & max_iters) {
|
||||
std::string s = args_parser.get_option_value("--max_iters");
|
||||
if (!s.empty()) {
|
||||
max_iters = atoi(s.c_str());
|
||||
} else {
|
||||
max_iters = 0;
|
||||
}
|
||||
|
||||
void get_time_limit_and_max_iters_from_parser(argument_parser & args_parser, unsigned & time_limit) {
|
||||
std::string time_limit_string = args_parser.get_option_value("--time_limit");
|
||||
if (!time_limit_string.empty()) {
|
||||
time_limit = atoi(time_limit_string.c_str());
|
||||
|
|
@ -2504,7 +2494,7 @@ void process_test_file(std::string test_dir, std::string test_file_name, argumen
|
|||
if (args_parser.option_is_used("--lar"))
|
||||
test_lar_on_file(input_file_name, args_parser);
|
||||
else
|
||||
solve_mps(input_file_name, minimize, max_iters, time_limit, use_mpq, dual, false, args_parser);
|
||||
solve_mps(input_file_name, minimize, time_limit, use_mpq, dual, false, args_parser);
|
||||
}
|
||||
catch(...) {
|
||||
std::cout << "catching the failure" << std::endl;
|
||||
|
|
@ -2624,7 +2614,7 @@ void test_files_from_directory(std::string test_file_dir, argument_parser & args
|
|||
vector<std::pair<std::string, int>> files = get_file_list_of_dir(test_file_dir);
|
||||
std::sort(files.begin(), files.end(), sort_pred());
|
||||
unsigned max_iters, time_limit;
|
||||
get_time_limit_and_max_iters_from_parser(args_parser, time_limit, max_iters);
|
||||
get_time_limit_and_max_iters_from_parser(args_parser, time_limit);
|
||||
unsigned successes = 0, failures = 0, inconclusives = 0;
|
||||
for (auto & t : files) {
|
||||
process_test_file(test_file_dir, t.first, args_parser, out_dir, max_iters, time_limit, successes, failures, inconclusives);
|
||||
|
|
@ -2651,10 +2641,6 @@ void run_lar_solver(argument_parser & args_parser, lar_solver * solver, mps_read
|
|||
solver->settings().presolve_with_double_solver_for_lar = true;
|
||||
}
|
||||
|
||||
std::string iter = args_parser.get_option_value("--max_iters");
|
||||
if (!iter.empty()) {
|
||||
solver->settings().max_total_number_of_iterations = atoi(iter.c_str());
|
||||
}
|
||||
if (args_parser.option_is_used("--compare_with_primal")){
|
||||
if (reader == nullptr) {
|
||||
std::cout << "cannot compare with primal, the reader is null " << std::endl;
|
||||
|
|
@ -4074,14 +4060,13 @@ void test_lp_local(int argn, char**argv) {
|
|||
ret = 0;
|
||||
return finalize(ret);
|
||||
}
|
||||
unsigned max_iters;
|
||||
unsigned time_limit;
|
||||
get_time_limit_and_max_iters_from_parser(args_parser, time_limit, max_iters);
|
||||
get_time_limit_and_max_iters_from_parser(args_parser, time_limit);
|
||||
bool dual = args_parser.option_is_used("--dual");
|
||||
bool solve_for_rational = args_parser.option_is_used("--mpq");
|
||||
std::string file_name = args_parser.get_option_value("--file");
|
||||
if (!file_name.empty()) {
|
||||
solve_mps(file_name, args_parser.option_is_used("--min"), max_iters, time_limit, solve_for_rational, dual, args_parser.option_is_used("--compare_with_primal"), args_parser);
|
||||
solve_mps(file_name, args_parser.option_is_used("--min"), time_limit, solve_for_rational, dual, args_parser.option_is_used("--compare_with_primal"), args_parser);
|
||||
ret = 0;
|
||||
return finalize(ret);
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue