auto _SEED = std::chrono::system_clock::now().time_since_epoch().count(); std::mt19937_64 rnd64(_SEED); #undef RNDUI64 #define GLOBAL_DB #define MAX_SIZE 16777216 //2**24 1千600-万 static uint64_t VEC[MAX_SIZE *2]; void _fill_vec() { for(size_t i=0;i<MAX_SIZE*2...
std::move和std::forward只是执行转换的函数(确切的说应该是函数模板)。std::move无条件的将它的参数...
auto _SEED = std::chrono::system_clock::now().time_since_epoch().count(); std::mt19937_64 rnd64(_SEED); #undef RNDUI64 #define NODE inline std::pair<uint64_t,uint64_t>* creat_node() { return(new std::pair<uint64_t,uint64_t>(rnd64(),rnd64())); } inline void write(...
std::random_device rd; std::mt19937_64 mt(rd()); std::uniform_int_distribution<T>uid(min,max);returnuid(mt); } template<typename T>voidfill_T_array(T min, T max,T *arr,intlen) {for(inti=0;i<len;i++) { arr[i]=get_random_num(min,max); } } template<typename T>voidpri...
std::mt19937_64 mt{rd()}; template<typename T>T gen_random(T min, T max) { std::uniform_int_distribution<T>uid(min, max);returnuid(mt); }voidvector_sort_execution_par(constint&len) { std::vector<std::uint32_t>vec;for(inti =0; i < len; i++) ...
std::mt19937_64 dist(1234); // generate some random unsigned integers: printf("\nTesting with %zu random unsigned integers...\n\n", testSize); vector<unsigned> uints(testSize); for (auto& d : uints) { //d = static_cast<unsigned>(rd()); d = st...
mt19937 rnd(chrono::system_clock::now().time_since_epoch().count()); //初始化,中间是种子 uniform_int_distribution<> range(l, r); //初始化,生成 [l,r] 之间的随机数,<>中是类型,默认是 int,不指定默认是 int 范围。 rnd() //即可返回一个 [l,r] 之间的随机数。
mt19937_64 (C++11) std::mersenne_twister_engine<std::uint_fast64_t, 64, 312, 156, 31, 0xb5026f5aa96619e9, 29, 0x5555555555555555, 17, 0x71d67fffeda60000, 37, 0xfff7eee000000000, 43, 6364136223846793005> 64 位梅森缠绕器,由松本与西村设计于 2000 嵌套...
SYMBOL(mt19937_64, std::, <random>) SYMBOL(multimap, std::, ) SYMBOL(multiplies, std::, <functional>) SYMBOL(multiset, std::, <set>) SYMBOL(mutex, std::, <mutex>) SYMBOL(nan, std::, <cmath>) SYMBOL(nanf, std::, <cmath>) SYMBOL(...
std::mt19937 engine{ std::random_device{}() }; std::uniform_real_distribution<double> dist(0.0, 1.0); double result = dist(engine); return 0; } Expected behavior The code should compile and run without errors as it did in previous versions ...