先测试个2亿, 因为我应用实际常驻对象只有 100-200 万个,峰值1000-2000万 测试代码: #include <cstdio> #include <chrono> #include <random> #include <vector> class Node { public: uint64_t first =100; uint64_t second =200; Node() { this->first = 100; this->second = 200; } static ...
static std::vector<std::pair<uint64_t,uint64_t>>VEC(MAX_SIZE); void _fill_vec() { for(size_t i=0;i<MAX_SIZE;i++) { VEC[i] = creat_node(); } }; inline uint64_t rnd_idx() { return(rnd64()%MAX_SIZE); }; void _free_vec() { for(size_t i=0;i<MAX_SIZE;i++)...
问将std::vector<uint8_t>转换为打包std::vector<uint64_t>EN版权声明：本文内容由互联网用户自发...
load().value_int8_t; } private: std::atomic<uint64_t> currentOutputIndex{}; /* 当前被消费的数据下标 */ constexpr static uint64_t frameInterval = 5l; /* 每数据包的间隔 这里是1s内发送200包 因此每包的间隔是5ms */ uint64_t timeStampMs{}; /* 毫秒级时间戳 */ std::atomic<Four...
而push_back会更加严谨,它只调用隐式构造函数。隐式构造函数被认为是安全的。如果能够通过对象T隐式构造对象U,就认为U能够完整包含T的所有内容,这样将T传递给U通常是安全的。正确使用隐式构造的例子是用std::uint32_t对象构造std::uint64_t对象,错误使用隐式构造的例子是用double构造std::uint8_t。
问为什么std::vector比普通数组更快？EN下面是如何消除差异的方法。使用如下所示的函数来代替add：...
std::pair<uint64_t,uint64_t>run(conststd::vector<Trace>& traces) { returnVector::run<QVector>(traces); } } namespaceStdTree{ std::pair<uint64_t,uint64_t>run(conststd::vector<Trace>& traces) { returnVector::run<std::vector>(traces); ...
I am encountering a weird example of memory corruption, and I don't know what went wrong. The error occurs at prettyprint 複製 Poly& Frame::ofaddPoly(const Poly& poly) { origPolys.push_back(poly); return origPolys.back(); }
In file included from /usr/include/c++/6/vector:64:0, from chainparamsbase.h:9, from chainparams.h:9, from chainparams.cpp:6: /usr/include/c++/6/bits/stl_vector.h:450:7: note: candidate: std::vector<_Tp, _Alloc>& std::vector<_Tp, _Alloc>::operator=(std::vector<_Tp, _Allo...
This time we store uint16_t rather than char. The program tries to store 20 numbers in a vector, but since the vector grows, then we need more than the predefined buffer (only 32 entries). That’s why at some point the allocator turns to global new and delete. Here’s a possible ...