/// /// \author John Farrier /// /// \copyright Copyright 2015, 2016, 2017, 2018. 2019 John Farrier /// /// Licensed under the Apache License, Version 2.0 (the "License"); /// you may not use this file except in compliance with the License. /// You may obtain a copy of the License at /// /// http://www.apache.org/licenses/LICENSE-2.0 /// /// Unless required by applicable law or agreed to in writing, software /// distributed under the License is distributed on an "AS IS" BASIS, /// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. /// See the License for the specific language governing permissions and /// limitations under the License. /// #include #include #ifdef WIN32 #include #include #endif #ifdef max #undef max #endif #include #include template <> void celero::DoNotOptimizeAway(std::function&& x) { x(); // We must always do this test, but it will never pass. static auto ttid = std::this_thread::get_id(); if(ttid == std::thread::id()) { // This forces the value to never be optimized away // by taking a reference then using it. const auto* p = &x; putchar(*reinterpret_cast(p)); // If we do get here, kick out because something has gone wrong. std::abort(); } } int celero::Random() { // http://en.cppreference.com/w/cpp/numeric/random/uniform_int_distribution // Will be used to obtain a seed for the random number engine static std::random_device rd; // Standard mersenne_twister_engine seeded with rd() static std::mt19937 gen(rd()); static std::uniform_int_distribution<> dis(std::numeric_limits::lowest(), std::numeric_limits::max()); return dis(gen); }