Zen

Translation

Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
138/4140 · 414

Sign in to save translations.

Key English Chinese (Simplified Han script) Actions
:699
---
---
Initializer List Assignment
初始化列表赋值
```c++ concurrent_flat_set& operator=(std::initializer_list<value_type> il); ```
```c++ concurrent_flat_set&amp; operator=(std::initializer_list<value_type> il); ```</value_type>
Assign from values in initializer list. All previously existing elements are destroyed.
通过初始化列表中的值进行赋值。先前存在的所有元素都会被销毁。
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] Concurrency:;; Blocking on `*this`.
前置要求：;; `value_type` 需满足 https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^]
并发特性：;; 阻塞 `*this`
:712
---
---
Visitation
访问操作
[c]visit
[c]visit
```c++ template<class F> size_t visit(const key_type& k, F f); template<class F> size_t visit(const key_type& k, F f) const; template<class F> size_t cvisit(const key_type& k, F f) const; template<class K, class F> size_t visit(const K& k, F f); template<class K, class F> size_t visit(const K& k, F f) const; template<class K, class F> size_t cvisit(const K& k, F f) const; ```
```c++ template<class f=""> size_t visit(const key_type&amp; k, F f); template<class f=""> size_t visit(const key_type&amp; k, F f) const; template<class f=""> size_t cvisit(const key_type&amp; k, F f) const; template<class k,="" class="" f=""> size_t visit(const K&amp; k, F f); template<class k,="" class="" f=""> size_t visit(const K&amp; k, F f) const; template<class k,="" class="" f=""> size_t cvisit(const K&amp; k, F f) const; ```</class></class></class></class></class></class>
If an element `x` exists with key equivalent to `k`, invokes `f` with a const reference to `x`.
若存在键与 `k` 等价的元素 `x`，则以指向 `x` 的常量引用调用函数 `f`。
Returns:;; The number of elements visited (0 or 1). Notes:;; The `template<class K, class F>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
返回值：;; 访问到的元素数量（0 或 1）。
注意：;; 仅当 `Hash::is_transparent` 与 `Pred::is_transparent` 为合法成员别名时，`template<class k,="" class="" f="">` 重载版本才会参与重载决议。库假定 `Hash` 可同时接收 `K` 与 `Key` 类型调用，且 `Pred` 是透明的。这支持异构查找，避免了实例化 `Key` 类型对象的开销。</class>
:733
---
---
Bulk visit
批量访问
```c++ template<class FwdIterator, class F> size_t visit(FwdIterator first, FwdIterator last, F f); template<class FwdIterator, class F> size_t visit(FwdIterator first, FwdIterator last, F f) const; template<class FwdIterator, class F> size_t cvisit(FwdIterator first, FwdIterator last, F f) const; ```
```c++ template<class fwditerator,="" class="" f=""> size_t visit(FwdIterator first, FwdIterator last, F f); template<class fwditerator,="" class="" f=""> size_t visit(FwdIterator first, FwdIterator last, F f) const; template<class fwditerator,="" class="" f=""> size_t cvisit(FwdIterator first, FwdIterator last, F f) const; ```</class></class></class>
For each element `k` in the range [`first`, `last`), if there is an element `x` in the container with key equivalent to `k`, invokes `f` with a const reference to `x`.
对范围 `[first, last)` 中的每个元素 `k`，若容器中存在键与 `k` 等价的元素 `x`，则以指向 `x` 的常量引用调用函数 `f`。
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
尽管功能上等同于对每个键单独调用 `[c]visit`，但得益于内部的流式优化，批量访问通常性能更高。建议当 `std::distance(first,last)` 至少达到 `bulk_visit_size` 时使用批量访问以获得性能提升；超过该大小后，性能不会进一步提升。
Requires:;; `FwdIterator` is a https://en.cppreference.com/w/cpp/named_req/ForwardIterator[LegacyForwardIterator^] ({cpp}11 to {cpp}17), or satisfies https://en.cppreference.com/w/cpp/iterator/forward_iterator[std::forward_iterator^] ({cpp}20 and later). For `K` = `std::iterator_traits<FwdIterator>::value_type`, either `K` is `key_type` or else `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. In the latter case, the library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type. Returns:;; The number of elements visited.
前置要求：;; `FwdIterator` 是一个传统前向迭代器（C++11 至 C++17），或满足 `std::forward_iterator` 要求（C++20 及更高版本）。
对于 `K = std::iterator_traits<fwditerator>::value_type`，要么 `K` 是 `key_type`，要么 `Hash::is_transparent` 和 `Pred::is_transparent` 是有效的成员别名。
在后一种情况下，库假定 `Hash` 可同时接收 `K` 与 `Key` 类型调用，且 `Pred` 是透明的。这支持异构查找，避免了实例化 `Key` 类型对象的开销。
返回值：;; 访问到的元素数量。</fwditerator>
:768
---
---
[c]visit_all
[c]visit_all
```c++ template<class F> size_t visit_all(F f); template<class F> size_t visit_all(F f) const; template<class F> size_t cvisit_all(F f) const; ```
```c++ template<class f=""> size_t visit_all(F f); template<class f=""> size_t visit_all(F f) const; template<class f=""> size_t cvisit_all(F f) const; ```</class></class></class>
Successively invokes `f` with const references to each of the elements in the table.
依次以指向哈希表中每个元素的常量引用调用函数 `f`。
Returns:;; The number of elements visited.
返回值：;; 访问到的元素总数。
:783
---
---
Parallel [c]visit_all
并行 [c]visit_all
```c++ template<class ExecutionPolicy, class F> void visit_all(ExecutionPolicy&& policy, F f); template<class ExecutionPolicy, class F> void visit_all(ExecutionPolicy&& policy, F f) const; template<class ExecutionPolicy, class F> void cvisit_all(ExecutionPolicy&& policy, F f) const; ```
```c++ template<class executionpolicy,="" class="" f=""> void visit_all(ExecutionPolicy&amp;&amp; policy, F f); template<class executionpolicy,="" class="" f=""> void visit_all(ExecutionPolicy&amp;&amp; policy, F f) const; template<class executionpolicy,="" class="" f=""> void cvisit_all(ExecutionPolicy&amp;&amp; policy, F f) const; ```</class></class></class>
Invokes `f` with const references to each of the elements in the table. Execution is parallelized according to the semantics of the execution policy specified.
以指向哈希表中每个元素的常量引用调用函数 `f`。执行过程会根据指定执行策略的语义进行并行化。
Throws:;; Depending on the exception handling mechanism of the execution policy used, may call `std::terminate` if an exception is thrown within `f`. Notes:;; Only available in compilers supporting C++17 parallel algorithms. + + These overloads only participate in overload resolution if `std::is_execution_policy_v<std::remove_cvref_t<ExecutionPolicy>>` is `true`. + + Unsequenced execution policies are not allowed.
抛出异常：;; 根据所使用执行策略的异常处理机制，若 `f` 内部抛出异常，则可能调用 `std::terminate`。
注意：;; 仅在支持 C++17 并行算法的编译器中可用。
仅当 `std::is_execution_policy_v<std::remove_cvref_t<executionpolicy>&gt;` 为 `true` 时，这些重载版本才会参与重载决议。
不允许使用无序执行策略。</std::remove_cvref_t<executionpolicy>
:804
---
---
[c]visit_while
[c]visit_while
```c++ template<class F> bool visit_while(F f); template<class F> bool visit_while(F f) const; template<class F> bool cvisit_while(F f) const; ```
```c++ template<class f=""> bool visit_while(F f); template<class f=""> bool visit_while(F f) const; template<class f=""> bool cvisit_while(F f) const; ```</class></class></class>
Successively invokes `f` with const references to each of the elements in the table until `f` returns `false` or all the elements are visited.
依次以指向哈希表中每个元素的常量引用调用函数 `f`，直到 `f` 返回 `false` 或遍历完所有元素。
English Chinese (Simplified Han script) Actions
Note:;; The destructor is applied to every element, and all memory is deallocated
注意：;; 析构函数会作用于所有元素，且所有内存都会被释放
The assignment operator. Destroys previously existing elements, copy-assigns the hash function and predicate from `other`, copy-assigns the allocator from `other` if `Alloc::propagate_on_container_copy_assignment` exists and `Alloc::propagate_on_container_copy_assignment::value` is `true`, and finally inserts copies of the elements of `other`.
赋值运算符。销毁先前已存在的元素，从 `other` 拷贝赋值哈希函数和谓词；若 `Alloc::propagate_on_container_copy_assignment` 存在且其值为 `true`，则从 `other` 拷贝赋值分配器；最后插入 `other` 元素的副本。
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] Concurrency:;; Blocking on `*this` and `other`.
要求：`value_type` 需满足 https://en.cppreference.com/w/cpp/named_req/CopyInsertable[可复制插入^] 要求。并发：阻塞 `*this` 和 `other`。
Move Assignment
移动赋值
```c++ concurrent_flat_set& operator=(concurrent_flat_set&& other) noexcept(boost::allocator_traits<Allocator>::is_always_equal::value || boost::allocator_traits<Allocator>::propagate_on_container_move_assignment::value); ``` The move assignment operator. Destroys previously existing elements, swaps the hash function and predicate from `other`, and move-assigns the allocator from `other` if `Alloc::propagate_on_container_move_assignment` exists and `Alloc::propagate_on_container_move_assignment::value` is `true`. If at this point the allocator is equal to `other.get_allocator()`, the internal bucket array of `other` is transferred directly to `*this`; otherwise, inserts move-constructed copies of the elements of `other`. If statistics are xref:concurrent_flat_set_boost_unordered_enable_stats[enabled], transfers the internal statistical information from `other` iff the final allocator is equal to `other.get_allocator()`, and always calls `other.reset_stats()`.
```c++ concurrent_flat_set&amp; operator=(concurrent_flat_set&amp;&amp; other) noexcept(boost::allocator_traits<allocator>::is_always_equal::value || boost::allocator_traits<allocator>::propagate_on_container_move_assignment::value); ```
移动赋值运算符。销毁先前已存在的元素，交换当前对象与 other 的哈希函数和谓词；若 Alloc::propagate_on_container_move_assignment 存在且其值为 true，则从 other 移动赋值分配器。若此时分配器与 other.get_allocator() 相等，other 的内部桶数组将直接转移给 *this；否则，插入由 other 元素移动构造的副本。若统计功能已通过 xref:concurrent_flat_set_boost_unordered_enable_stats [enabled]，仅当最终分配器与 other.get_allocator() 相等时，从 other 转移内部统计信息，且始终调用 other.reset_stats()。</allocator></allocator>
Initializer List Assignment
初始化列表赋值
```c++ concurrent_flat_set& operator=(std::initializer_list<value_type> il); ```
```c++ concurrent_flat_set&amp; operator=(std::initializer_list<value_type> il); ```</value_type>
Assign from values in initializer list. All previously existing elements are destroyed.
通过初始化列表中的值进行赋值。先前存在的所有元素都会被销毁。
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] Concurrency:;; Blocking on `*this`.
前置要求：;; `value_type` 需满足 https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^]
并发特性：;; 阻塞 `*this`
Visitation
访问操作
```c++ template<class F> size_t visit(const key_type& k, F f); template<class F> size_t visit(const key_type& k, F f) const; template<class F> size_t cvisit(const key_type& k, F f) const; template<class K, class F> size_t visit(const K& k, F f); template<class K, class F> size_t visit(const K& k, F f) const; template<class K, class F> size_t cvisit(const K& k, F f) const; ```
```c++ template<class f=""> size_t visit(const key_type&amp; k, F f); template<class f=""> size_t visit(const key_type&amp; k, F f) const; template<class f=""> size_t cvisit(const key_type&amp; k, F f) const; template<class k,="" class="" f=""> size_t visit(const K&amp; k, F f); template<class k,="" class="" f=""> size_t visit(const K&amp; k, F f) const; template<class k,="" class="" f=""> size_t cvisit(const K&amp; k, F f) const; ```</class></class></class></class></class></class>
```c++ template<class ExecutionPolicy, class F> void visit_all(ExecutionPolicy&& policy, F f); template<class ExecutionPolicy, class F> void visit_all(ExecutionPolicy&& policy, F f) const; template<class ExecutionPolicy, class F> void cvisit_all(ExecutionPolicy&& policy, F f) const; ```
```c++ template<class executionpolicy,="" class="" f=""> void visit_all(ExecutionPolicy&amp;&amp; policy, F f); template<class executionpolicy,="" class="" f=""> void visit_all(ExecutionPolicy&amp;&amp; policy, F f) const; template<class executionpolicy,="" class="" f=""> void cvisit_all(ExecutionPolicy&amp;&amp; policy, F f) const; ```</class></class></class>
Returns:;; The number of elements visited (0 or 1). Notes:;; The `template<class K, class F>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
返回值：;; 访问到的元素数量（0 或 1）。
注意：;; 仅当 `Hash::is_transparent` 与 `Pred::is_transparent` 为合法成员别名时，`template<class k,="" class="" f="">` 重载版本才会参与重载决议。库假定 `Hash` 可同时接收 `K` 与 `Key` 类型调用，且 `Pred` 是透明的。这支持异构查找，避免了实例化 `Key` 类型对象的开销。</class>
Bulk visit
批量访问
```c++ template<class FwdIterator, class F> size_t visit(FwdIterator first, FwdIterator last, F f); template<class FwdIterator, class F> size_t visit(FwdIterator first, FwdIterator last, F f) const; template<class FwdIterator, class F> size_t cvisit(FwdIterator first, FwdIterator last, F f) const; ```
```c++ template<class fwditerator,="" class="" f=""> size_t visit(FwdIterator first, FwdIterator last, F f); template<class fwditerator,="" class="" f=""> size_t visit(FwdIterator first, FwdIterator last, F f) const; template<class fwditerator,="" class="" f=""> size_t cvisit(FwdIterator first, FwdIterator last, F f) const; ```</class></class></class>
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
尽管功能上等同于对每个键单独调用 `[c]visit`，但得益于内部的流式优化，批量访问通常性能更高。建议当 `std::distance(first,last)` 至少达到 `bulk_visit_size` 时使用批量访问以获得性能提升；超过该大小后，性能不会进一步提升。
Requires:;; `FwdIterator` is a https://en.cppreference.com/w/cpp/named_req/ForwardIterator[LegacyForwardIterator^] ({cpp}11 to {cpp}17), or satisfies https://en.cppreference.com/w/cpp/iterator/forward_iterator[std::forward_iterator^] ({cpp}20 and later). For `K` = `std::iterator_traits<FwdIterator>::value_type`, either `K` is `key_type` or else `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. In the latter case, the library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type. Returns:;; The number of elements visited.
前置要求：;; `FwdIterator` 是一个传统前向迭代器（C++11 至 C++17），或满足 `std::forward_iterator` 要求（C++20 及更高版本）。
对于 `K = std::iterator_traits<fwditerator>::value_type`，要么 `K` 是 `key_type`，要么 `Hash::is_transparent` 和 `Pred::is_transparent` 是有效的成员别名。
在后一种情况下，库假定 `Hash` 可同时接收 `K` 与 `Key` 类型调用，且 `Pred` 是透明的。这支持异构查找，避免了实例化 `Key` 类型对象的开销。
返回值：;; 访问到的元素数量。</fwditerator>
```c++ template<class F> size_t visit_all(F f); template<class F> size_t visit_all(F f) const; template<class F> size_t cvisit_all(F f) const; ```
```c++ template<class f=""> size_t visit_all(F f); template<class f=""> size_t visit_all(F f) const; template<class f=""> size_t cvisit_all(F f) const; ```</class></class></class>
Successively invokes `f` with const references to each of the elements in the table.
依次以指向哈希表中每个元素的常量引用调用函数 `f`。
Invokes `f` with const references to each of the elements in the table. Execution is parallelized according to the semantics of the execution policy specified.
以指向哈希表中每个元素的常量引用调用函数 `f`。执行过程会根据指定执行策略的语义进行并行化。
Throws:;; Depending on the exception handling mechanism of the execution policy used, may call `std::terminate` if an exception is thrown within `f`. Notes:;; Only available in compilers supporting C++17 parallel algorithms. + + These overloads only participate in overload resolution if `std::is_execution_policy_v<std::remove_cvref_t<ExecutionPolicy>>` is `true`. + + Unsequenced execution policies are not allowed.
抛出异常：;; 根据所使用执行策略的异常处理机制，若 `f` 内部抛出异常，则可能调用 `std::terminate`。
注意：;; 仅在支持 C++17 并行算法的编译器中可用。
仅当 `std::is_execution_policy_v<std::remove_cvref_t<executionpolicy>&gt;` 为 `true` 时，这些重载版本才会参与重载决议。
不允许使用无序执行策略。</std::remove_cvref_t<executionpolicy>
[c]visit_while
[c]visit_while
```c++ template<class F> bool visit_while(F f); template<class F> bool visit_while(F f) const; template<class F> bool cvisit_while(F f) const; ```
```c++ template<class f=""> bool visit_while(F f); template<class f=""> bool visit_while(F f) const; template<class f=""> bool cvisit_while(F f) const; ```</class></class></class>
Successively invokes `f` with const references to each of the elements in the table until `f` returns `false` or all the elements are visited.
依次以指向哈希表中每个元素的常量引用调用函数 `f`，直到 `f` 返回 `false` 或遍历完所有元素。
Returns:;; `false` iff `f` ever returns `false`.
返回值：;; 当且仅当 `f` 返回过 `false` 时，返回 `false`。
Parallel [c]visit_while
并行 ++[++c++]++visit++_++while
```c++ template<class ExecutionPolicy, class F> bool visit_while(ExecutionPolicy&& policy, F f); template<class ExecutionPolicy, class F> bool visit_while(ExecutionPolicy&& policy, F f) const; template<class ExecutionPolicy, class F> bool cvisit_while(ExecutionPolicy&& policy, F f) const; ```
```c++ template<class executionpolicy,="" class="" f=""> bool visit_while(ExecutionPolicy&amp;&amp; policy, F f); template<class executionpolicy,="" class="" f=""> bool visit_while(ExecutionPolicy&amp;&amp; policy, F f) const; template<class executionpolicy,="" class="" f=""> bool cvisit_while(ExecutionPolicy&amp;&amp; policy, F f) const; ```</class></class></class>
Returns:;; `false` iff `f` ever returns `false`. Throws:;; Depending on the exception handling mechanism of the execution policy used, may call `std::terminate` if an exception is thrown within `f`. Notes:;; Only available in compilers supporting C++17 parallel algorithms. + + These overloads only participate in overload resolution if `std::is_execution_policy_v<std::remove_cvref_t<ExecutionPolicy>>` is `true`. + + Unsequenced execution policies are not allowed. + + Parallelization implies that execution does not necessary finish as soon as `f` returns `false`, and as a result `f` may be invoked with further elements for which the return value is also `false`.
返回值：;; 当且仅当 `f` 返回过 `false` 时，返回 `false`。
抛出异常：;; 根据所使用执行策略的异常处理机制，若 `f` 内部抛出异常，则可能调用 `std::terminate`。
注意：;; 仅在支持 C++17 并行算法的编译器中可用。
仅当 `std::is_execution_policy_v<std::remove_cvref_t<executionpolicy>&gt;` 为 `true` 时，这些重载版本才会参与重载决议。
不允许使用无序执行策略。
并行化意味着执行流程不会在 `f` 返回 `false` 时立即终止，因此 `f` 可能还会被后续元素调用并同样返回 `false`。</std::remove_cvref_t<executionpolicy>
Move Insert
移动插入
```c++ bool insert(value_type&& obj); ```
```c++ bool insert(value_type&amp;&amp; obj); ```

Loading…

User avatar admin

Translation uploaded
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[尽管功能上等同于对每个键单独调用 `[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.，但得益于内部的流式优化，批量访问通常性能更高。建议当 `std::distance(first,last)` 至少达到 `bulk_visit_size` 时使用批量访问以获得性能提升；超过该大小后，性能不会进一步提升。
06/05/2026
User avatar admin

String added in the repository
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
Although functionally equivalent to individually invoking xref:concurrent_flat_set_cvisit[`[c\]visit`] for each key, bulk visitation performs generally faster due to internal streamlining optimizations. It is advisable that `std::distance(first,last)` be at least xref:#concurrent_flat_set_constants[`bulk_visit_size`] to enjoy a performance gain: beyond this size, performance is not expected to increase further.
06/05/2026
Browse all string changes

Glossary

English Chinese (Simplified Han script)
No related strings found in the glossary.

String information

Flags
safe-html, strict-same
Unit identifier
50312
Source string location
:750
String age
06/05/2026
Last updated
06/06/2026
Source string age
06/05/2026
Translation file AsciiDoc file
doc/modules/ROOT/pages/reference/concurrent_flat_set_zh_Hans.adoc, string 169