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Key	English	Chinese (Simplified Han script)
	Synopsis	概要
:329	---	---
	Description	描述
	Template Parameters	模板参数
	_Key_	_键_
	`std::pair<const Key, T>` must be https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the table from any `std::pair` object convertible to it, and it also must be https://en.cppreference.com/w/cpp/named_req/Erasable[Erasable^] from the table.	`std::pair<const key,="" t="">` 必须能够从任何可转换为其的 `std::pair` 对象出发，在表中进行 https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] 构造，并且也必须可以从表中进行 https://en.cppreference.com/w/cpp/named_req/Erasable[Erasable^] 擦除。</const>
	_T_	_T_
	_Hash_	_Hash_
	A unary function object type that acts a hash function for a `Key`. It takes a single argument of type `Key` and returns a value of type `std::size_t`.	一种一元函数对象类型，用作Key类型的哈希函数。它接受单个Key类型的参数，并返回std::size_t类型的值。
	_Pred_	_Pred_
	A binary function object that induces an equivalence relation on values of type `Key`. It takes two arguments of type `Key` and returns a value of type `bool`.	一种二元函数对象，用于在Key类型的值上引入等价关系。该对象接收两个Key类型的参数，并返回一个bool类型的值。
	_Allocator_	_Allocator_
	An allocator whose value type is the same as the table's value type.	值类型与哈希表值类型相同的分配器。
	Allocators using https://en.cppreference.com/w/cpp/named_req/Allocator#Fancy_pointers[fancy pointers] are supported.	支持使用https://en.cppreference.com/w/cpp/named_req/Allocator#Fancy_pointers[花式指针] 的分配器。
	The elements of the table are held into an internal _bucket array_. An element is inserted into a bucket determined by its hash code, but if the bucket is already occupied (a _collision_), an available one in the vicinity of the original position is used.	容器的元素存储在内部的__桶数组__中。元素根据其哈希码被插入到对应的桶中，但如果该桶已被占用（即发生__冲突__），则会使用原始位置附近可用的桶。
	The size of the bucket array can be automatically increased by a call to `insert`/`emplace`, or as a result of calling `rehash`/`reserve`. The _load factor_ of the table (number of elements divided by number of buckets) is never greater than `max_load_factor()`, except possibly for small sizes where the implementation may decide to allow for higher loads.	桶数组的大小可通过调用 `insert` / `emplace` 自动增加，也可通过调用 `rehash` / `reserve` 进行调整。容器的__负载因子__（元素数量与桶数量的比值）永远不会超过 `max++_++load++_++factor()` ，但在小规模数据情况下，实现可能允许更高的负载因子。
	If `link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[hash_is_avalanching]<Hash>::value` is `true`, the hash function is used as-is; otherwise, a bit-mixing post-processing stage is added to increase the quality of hashing at the expense of extra computational cost.	若 link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[`hash++_++is++_++avalanching`]`++<++Hash++>++::value` 为 `true` ，则直接使用哈希函数；否则，会添加一个位混合后处理阶段以提高哈希质量，但会牺牲额外的计算成本。
:371	---	---
	Concurrency Requirements and Guarantees	并发要求与保证
	Concurrent invocations of `operator()` on the same const instance of `Hash` or `Pred` are required to not introduce data races. For `Alloc` being either `Allocator` or any allocator type rebound from `Allocator`, concurrent invocations of the following operations on the same instance `al` of `Alloc` are required to not introduce data races:	要求对同一 `Hash` 或 `Pred` 常量实例并发调用 `operator()` 时不得引入数据竞争。对于 `Alloc` （即 `Allocator` 或其重绑定后的任意分配器类型），在同一实例 `al` 上并发调用以下操作时不得引入数据竞争：
	Copy construction from `al` of an allocator rebound from `Alloc`	从Alloc重新绑定后的分配器的al进行拷贝构造
	`std::allocator_traits<Alloc>::allocate`	`std::allocator_traits<alloc>::allocate`</alloc>
	`std::allocator_traits<Alloc>::deallocate`	`std::allocator_traits<alloc>::deallocate`</alloc>
	`std::allocator_traits<Alloc>::construct`	`std::allocator_traits<alloc>::construct`</alloc>
	`std::allocator_traits<Alloc>::destroy`	`std::allocator_traits<alloc>::destroy`</alloc>
	In general, these requirements on `Hash`, `Pred` and `Allocator` are met if these types are not stateful or if the operations only involve constant access to internal data members.	通常而言，若 `Hash` 、 `Pred` 和 `Allocator` 这些类型不包含状态，或其操作仅涉及对内部数据成员的常量访问，即可满足上述要求。
	With the exception of destruction, concurrent invocations of any operation on the same instance of a `concurrent_flat_map` do not introduce data races — that is, they are thread-safe.	除了析构操作外，在同一个 `concurrent_flat_map` 实例上并发调用任何操作都不会引入数据竞争——即这些操作是线程安全的。
	If an operation op is explicitly designated as _blocking on_ `x`, where `x` is an instance of a `boost::concurrent_flat_map`, prior blocking operations on `x` synchronize with op. So, blocking operations on the same `concurrent_flat_map` execute sequentially in a multithreaded scenario.	若某个操作 op 被显式指定为__阻塞于__ `x` （其中 `x` 为 `boost::concurrent_flat_map` 实例），则先前对 `x` 的阻塞操作将与 op 同步。因此，在多线程场景中，对同一 `concurrent_flat_map` 的阻塞操作将按顺序执行。
	An operation is said to be _blocking on rehashing of_ ``__x__`` if it blocks on `x` only when an internal rehashing is issued.	若某个操作仅在触发内部重哈希时才会阻塞于 _`x`_，则称该操作阻塞于 _`x`_ 的重哈希过程。
	When executed internally by a `boost::concurrent_flat_map`, the following operations by a user-provided visitation function on the element passed do not introduce data races:	当由 `boost::concurrent_flat_map` 内部执行时，用户提供的访问函数对传入元素执行以下操作不会引入数据竞争：
	Read access to the element.	对元素的读取访问。

	English	Chinese (Simplified Han script)	Actions
	```c++ template<class ExecutionPolicy, class F> void erase_if(ExecutionPolicy&& policy, F f); ```	```c++ template<class executionpolicy,="" class="" f=""> void erase_if(ExecutionPolicy&& policy, F f); ```</class>
	Invokes `f` with non-const references to each of the elements in the table, and erases those for which `f` returns `true`. Execution is parallelized according to the semantics of the execution policy specified.	依次以非常量引用为参数，对容器中的每个元素调用`f`，并删除所有`f`返回`true`的元素。执行过程将根据指定的执行策略语义进行并行化处理。
	swap	交换
	clear	清空
	```c++ void clear() noexcept; ```	```c++ void clear() noexcept; ```
	Erases all elements in the table.	清空容器中的所有元素。
	Postconditions:;; `size() == 0`, `max_load() >= max_load_factor() * bucket_count()` Concurrency:;; Blocking on `*this`.	后置条件：容器大小 `size() == 0`，且 `max_load() >= max_load_factor() * bucket_count()` 并发：会阻塞当前对象 `*this`。
	Returns:;; The number of elements inserted. Concurrency:;; Blocking on `*this` and `source`.	返回值：插入的元素数量。并发：会阻塞当前对象 `*this` 和源对象 `source`。
	Observers	观察器
	get_allocator	get_allocator
	A binary function object that induces an equivalence relation on values of type `Key`. It takes two arguments of type `Key` and returns a value of type `bool`.	一种二元函数对象，用于在Key类型的值上引入等价关系。该对象接收两个Key类型的参数，并返回一个bool类型的值。
	_Allocator_	_Allocator_
	An allocator whose value type is the same as the table's value type.	值类型与哈希表值类型相同的分配器。
	Allocators using https://en.cppreference.com/w/cpp/named_req/Allocator#Fancy_pointers[fancy pointers] are supported.	支持使用https://en.cppreference.com/w/cpp/named_req/Allocator#Fancy_pointers[花式指针] 的分配器。
	The elements of the table are held into an internal _bucket array_. An element is inserted into a bucket determined by its hash code, but if the bucket is already occupied (a _collision_), an available one in the vicinity of the original position is used.	容器的元素存储在内部的__桶数组__中。元素根据其哈希码被插入到对应的桶中，但如果该桶已被占用（即发生__冲突__），则会使用原始位置附近可用的桶。
	The size of the bucket array can be automatically increased by a call to `insert`/`emplace`, or as a result of calling `rehash`/`reserve`. The _load factor_ of the table (number of elements divided by number of buckets) is never greater than `max_load_factor()`, except possibly for small sizes where the implementation may decide to allow for higher loads.	桶数组的大小可通过调用 `insert` / `emplace` 自动增加，也可通过调用 `rehash` / `reserve` 进行调整。容器的__负载因子__（元素数量与桶数量的比值）永远不会超过 `max++_++load++_++factor()` ，但在小规模数据情况下，实现可能允许更高的负载因子。
	If `link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[hash_is_avalanching]<Hash>::value` is `true`, the hash function is used as-is; otherwise, a bit-mixing post-processing stage is added to increase the quality of hashing at the expense of extra computational cost.	若 link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[`hash++_++is++_++avalanching`]`++<++Hash++>++::value` 为 `true` ，则直接使用哈希函数；否则，会添加一个位混合后处理阶段以提高哈希质量，但会牺牲额外的计算成本。
	Concurrent invocations of `operator()` on the same const instance of `Hash` or `Pred` are required to not introduce data races. For `Alloc` being either `Allocator` or any allocator type rebound from `Allocator`, concurrent invocations of the following operations on the same instance `al` of `Alloc` are required to not introduce data races:	要求对同一 `Hash` 或 `Pred` 常量实例并发调用 `operator()` 时不得引入数据竞争。对于 `Alloc` （即 `Allocator` 或其重绑定后的任意分配器类型），在同一实例 `al` 上并发调用以下操作时不得引入数据竞争：
	Copy construction from `al` of an allocator rebound from `Alloc`	从Alloc重新绑定后的分配器的al进行拷贝构造
	`std::allocator_traits<Alloc>::allocate`	`std::allocator_traits<alloc>::allocate`</alloc>
	`std::allocator_traits<Alloc>::deallocate`	`std::allocator_traits<alloc>::deallocate`</alloc>
	`std::allocator_traits<Alloc>::construct`	`std::allocator_traits<alloc>::construct`</alloc>
	`std::allocator_traits<Alloc>::destroy`	`std::allocator_traits<alloc>::destroy`</alloc>
	In general, these requirements on `Hash`, `Pred` and `Allocator` are met if these types are not stateful or if the operations only involve constant access to internal data members.	通常而言，若 `Hash` 、 `Pred` 和 `Allocator` 这些类型不包含状态，或其操作仅涉及对内部数据成员的常量访问，即可满足上述要求。
	With the exception of destruction, concurrent invocations of any operation on the same instance of a `concurrent_flat_map` do not introduce data races — that is, they are thread-safe.	除了析构操作外，在同一个 `concurrent_flat_map` 实例上并发调用任何操作都不会引入数据竞争——即这些操作是线程安全的。
	If an operation op is explicitly designated as _blocking on_ `x`, where `x` is an instance of a `boost::concurrent_flat_map`, prior blocking operations on `x` synchronize with op. So, blocking operations on the same `concurrent_flat_map` execute sequentially in a multithreaded scenario.	若某个操作 op 被显式指定为__阻塞于__ `x` （其中 `x` 为 `boost::concurrent_flat_map` 实例），则先前对 `x` 的阻塞操作将与 op 同步。因此，在多线程场景中，对同一 `concurrent_flat_map` 的阻塞操作将按顺序执行。
	An operation is said to be _blocking on rehashing of_ ``__x__`` if it blocks on `x` only when an internal rehashing is issued.	若某个操作仅在触发内部重哈希时才会阻塞于 _`x`_，则称该操作阻塞于 _`x`_ 的重哈希过程。
	When executed internally by a `boost::concurrent_flat_map`, the following operations by a user-provided visitation function on the element passed do not introduce data races:	当由 `boost::concurrent_flat_map` 内部执行时，用户提供的访问函数对传入元素执行以下操作不会引入数据竞争：
	Read access to the element.	对元素的读取访问。
	Within a container function accepting two visitation functions, always for the first function. Within a non-const container function whose name does not contain `cvisit`, for the last (or only) visitation function.	在容器接受两个访问函数的操作中，此条件始终适用于第一个访问函数。在名称不包含 `cvisit` 的非常量容器函数中，此条件适用于最后一个（或唯一一个）访问函数。

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Chinese (Simplified Han script) 305 characters editedCurrent translationState: Translated

~~The size of the bucket array can be automatically increased by a call to~~桶数组的大小可通过调用 `insert`/ / `emplace`~~, or as a result of calling~~ 自动增加，也可通过调用 `rehash`/ / `reserve`. The _load factor_ of the table (number of elements divided by number of buckets) is never greater than `max_load_factor()`, except possibly for small sizes where the implementation may decide to allow for higher loads. 进行调整。容器的__负载因子__（元素数量与桶数量的比值）永远不会超过 `max++_++load++_++factor()` ，但在小规模数据情况下，实现可能允许更高的负载因子。

06/05/2026

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Chinese (Simplified Han script) 357 characters editedPrevious translationState: Needs editing (Needs rewriting)

06/05/2026

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doc/modules/ROOT/pages/reference/concurrent_flat_map_zh_Hans.adoc, string 22

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