ordered_map需要包含<map>头文件。 2. 定义和使用 ordered_map可以像普通map一样使用,但是具有额外的排序功能。下面是一个ordered_map的基本用法示例: ```cpp #include <iostream> #include <map> #include <string> int main() { std::ordered_map<std::string
MULTILINE_CPP_IS_BRIEF = NO# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the # documentation from any documented member that it re-implements. # The default value is: YES.INHERIT_DOCS = YES# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen ...
*/using ordered_json=basic_json<nlohmann::ordered_map>;}// namespace nlohmann 真是及时雨啊,果断更新版本, 再将前面代码中j变量的类型改为ordered_json就OK. nlohmann_json_test2.cpp 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #include<iostream>#include"nlohmann/json.hpp"using namespace nlohm...
template <class Key, class T, class IgnoredLess = std::less<Key>, class Allocator = std::allocator<std::pair<const Key, T>>> struct ordered_map; This would allow using it with just the normal two. Another option is to addordered_map_fwd.hppwith the declaration with the default parame...
jdk7ConcurrentHashMap底层存储结构：是一个Segment类型的数组，每个数组节点里面又是一个HashEntry数组...
nlohmann::ordered_json 是nlohmann/json 库中的一个类,它是 nlohmann::basic_json 模板类的一个特例化实现。与 nlohmann::json(使用 std::map 作为内部存储结构,因此键值对是无序的)不同,nlohmann::ordered_json 使用nlohmann::ordered_map 作为内部存储结构,从而保留了插入键值对的顺序。
(map('%r: %r'.__mod__, self.most_common())) 197 return '%s({%s})' % (self.__class__.__name__, items) 198 199 # Multiset-style mathematical operations discussed in: 200 # Knuth TAOCP Volume II section 4.6.3 exercise 19 201 # and at http:///wiki/Multiset 202 # 203 # ...
在put操作的finally语句执行完之前，put新增的数据是不对其他线程展示的，这是ConcurrentHashMap实现无锁...
78#include<iostream>9#include<cstdio>10#include<cstdlib>11#include<string>12#include<cstring>13#include<list>14#include<queue>15#include<stack>16#include<map>17#include<set>18#include<algorithm>19#include<cmath>20#include<bitset>21#include<climits>22#defineMAXN 100123usingnamespacestd;24int...
Your extension allows intermediate degrees of parallelism that map neatly to resource sharing. The implementation would seem to be a variation on "class input_buffer" in pipeline.cpp, with some hashing involved, right?It would be good if you could share your code. The contribution proces...