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