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merge LRA
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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120 changed files with 23069 additions and 15 deletions
133
src/util/lp/lp_settings.hpp
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133
src/util/lp/lp_settings.hpp
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/*
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Copyright (c) 2017 Microsoft Corporation
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Author: Lev Nachmanson
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*/
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#include <cmath>
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#include <string>
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#include "util/vector.h"
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#include "util/lp/lp_settings.h"
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namespace lean {
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std::string column_type_to_string(column_type t) {
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switch (t) {
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case column_type::fixed: return "fixed";
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case column_type::boxed: return "boxed";
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case column_type::low_bound: return "low_bound";
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case column_type::upper_bound: return "upper_bound";
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case column_type::free_column: return "free_column";
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default: lean_unreachable();
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}
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return "unknown"; // it is unreachable
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}
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const char* lp_status_to_string(lp_status status) {
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switch (status) {
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case UNKNOWN: return "UNKNOWN";
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case INFEASIBLE: return "INFEASIBLE";
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case UNBOUNDED: return "UNBOUNDED";
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case TENTATIVE_DUAL_UNBOUNDED: return "TENTATIVE_DUAL_UNBOUNDED";
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case DUAL_UNBOUNDED: return "DUAL_UNBOUNDED";
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case OPTIMAL: return "OPTIMAL";
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case FEASIBLE: return "FEASIBLE";
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case FLOATING_POINT_ERROR: return "FLOATING_POINT_ERROR";
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case TIME_EXHAUSTED: return "TIME_EXHAUSTED";
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case ITERATIONS_EXHAUSTED: return "ITERATIONS_EXHAUSTED";
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case EMPTY: return "EMPTY";
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case UNSTABLE: return "UNSTABLE";
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default:
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lean_unreachable();
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}
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return "UNKNOWN"; // it is unreachable
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}
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lp_status lp_status_from_string(std::string status) {
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if (status == "UNKNOWN") return lp_status::UNKNOWN;
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if (status == "INFEASIBLE") return lp_status::INFEASIBLE;
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if (status == "UNBOUNDED") return lp_status::UNBOUNDED;
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if (status == "OPTIMAL") return lp_status::OPTIMAL;
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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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lean_unreachable();
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return lp_status::UNKNOWN; // it is unreachable
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}
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int get_millisecond_count() {
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timeb tb;
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ftime(&tb);
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return tb.millitm + (tb.time & 0xfffff) * 1000;
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}
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int get_millisecond_span(int start_time) {
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int span = get_millisecond_count() - start_time;
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if (span < 0)
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span += 0x100000 * 1000;
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return span;
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}
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void my_random_init(long unsigned seed) {
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lp_settings::random_next = seed;
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}
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unsigned my_random() {
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lp_settings::random_next = lp_settings::random_next * 1103515245 + 12345;
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return((unsigned)(lp_settings::random_next/65536) % 32768);
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}
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template <typename T>
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bool vectors_are_equal(T * a, vector<T> &b, unsigned n) {
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if (numeric_traits<T>::precise()) {
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for (unsigned i = 0; i < n; i ++){
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if (!numeric_traits<T>::is_zero(a[i] - b[i])) {
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// std::cout << "a[" << i <<"]" << a[i] << ", " << "b[" << i <<"]" << b[i] << std::endl;
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return false;
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}
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}
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} else {
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for (unsigned i = 0; i < n; i ++){
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if (std::abs(numeric_traits<T>::get_double(a[i] - b[i])) > 0.000001) {
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// std::cout << "a[" << i <<"]" << a[i] << ", " << "b[" << i <<"]" << b[i] << std::endl;
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return false;
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}
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}
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}
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return true;
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}
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template <typename T>
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bool vectors_are_equal(const vector<T> & a, const vector<T> &b) {
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unsigned n = static_cast<unsigned>(a.size());
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if (n != b.size()) return false;
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if (numeric_traits<T>::precise()) {
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for (unsigned i = 0; i < n; i ++){
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if (!numeric_traits<T>::is_zero(a[i] - b[i])) {
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// std::cout << "a[" << i <<"]" << a[i] << ", " << "b[" << i <<"]" << b[i] << std::endl;
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return false;
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}
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}
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} else {
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for (unsigned i = 0; i < n; i ++){
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double da = numeric_traits<T>::get_double(a[i]);
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double db = numeric_traits<T>::get_double(b[i]);
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double amax = std::max(fabs(da), fabs(db));
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if (amax > 1) {
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da /= amax;
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db /= amax;
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}
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if (fabs(da - db) > 0.000001) {
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// std::cout << "a[" << i <<"] = " << a[i] << ", but " << "b[" << i <<"] = " << b[i] << std::endl;
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return false;
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}
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}
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}
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return true;
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}
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unsigned long lp_settings::random_next = 1;
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#ifdef LEAN_DEBUG
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unsigned lp_settings::ddd = 0;
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#endif
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}
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