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Other than this, `boost::unordered_flat_map` is mostly a drop-in replacement of node-based standard unordered associative containers.
Other than this,除此之外， `boost::unordered_flat_map` is mostly a drop-in replacement of node-based standard unordered associative containers.++_++flat++_++map` 基本可完全替代基于节点的标准无序关联容器。
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- `value_type` must be move-constructible. - Pointer stability is not kept under rehashing. - `begin()` is not constant-time. - There is no API for bucket handling (except `bucket_count`) or node extraction/insertion. - The maximum load factor of the container is managed internally and can't be set by the user.
- `value_++_++type` must be move-constructible. - Pointer stability is not kept under rehashing. - `begin()` is not constant-time. - There is no API for bucket handling (except必须支持移动构造。 - 在重哈希的过程中，指针稳定性无法保持。 - `begin()` 不是常数时间复杂度操作。 - 未提供用于桶管理（除 `bucket_++_++count`) or node extraction/insertion. - The maximum load factor of the container is managed internally and can't be set by the user. 外）或节点提取/插入的 API。 - 容器的最大负载因子由内部管理，用户无法进行设置。
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As a result of its using open addressing, the interface of `boost::unordered_flat_map` deviates in a number of aspects from that of `boost::unordered_map`/`std::unordered_map`:
As a result of its using open addressing, the interface of `boost::unordered_flat_map` deviates in a number of aspects from that of由于采用开放寻址法， `boost::unordered++_++flat++_++map` 的接口在多个方面与 `boost::unordered_++_++map`/ / `std::unordered_map`:++_++map` 不同：
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The performance of `boost::unordered_flat_map` is much better than that of `boost::unordered_map` or other implementations of `std::unordered_map`. Unlike standard unordered associative containers, which are node-based, the elements of a `boost::unordered_flat_map` are held directly in the bucket array, and insertions into an already occupied bucket are diverted to available buckets in the vicinity of the original position. This type of data layout is known as _open addressing_.
The performance of `boost::unordered_flat_map` is much better than that of `boost::unordered_map` or other implementations of `std::unordered_map`. Unlike standard unordered associative containers, which are node-based, the elements of a `boost::unordered_flat_map` are held directly in the bucket array, and insertions into an already occupied bucket are diverted to available buckets in the vicinity of the original position. This type of data layout is known as _open addressing_.`boost::unordered++_++flat++_++map` 的性能远优于 `boost::unordered++_++map` 或其他 `std::unordered++_++map` 的实现。与基于节点的标准无序关联容器不同， `boost::unordered++_++flat++_++map` 的元素直接存储在桶数组中，且当元素被插入到已被占用的桶时，会将其重定向到原始位置附近的可用桶。这种数据布局类型称为__开放寻址法__。
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`boost::unordered_flat_map` — An open-addressing unordered associative container that associates unique keys with another value.
`boost::unordered_flat_map` — An open-addressing unordered associative container that associates unique keys with another value.++_++flat++_++map` —— 一种开放寻址的无序关联容器，用于将唯一键与另一个值关联。
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:idprefix: unordered_flat_map_
:idprefix: unordered_flat_map_
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Class Template unordered_flat_map
Class Template unordered_flat_类模板 unordered++_++flat++_++map
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Processed 17 strings from the uploaded files (skipped: 0, not found: 0, updated: 17).
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---
---
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These statistics can be used to determine if a given hash function can be marked as link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[__avalanching__].
These statistics can be used to determine if a given hash function can be marked as这些统计信息可用于判断给定的哈希函数是否可被标记为 link:../../../../../container_hash/doc/html/hash.html#ref_hash_is_avalanchinghash[__avalanching__].雪崩效应_] 。
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For unsuccessful lookups, the average number of element comparisons should be close to 0.0.
For unsuccessful lookups, the average number of element comparisons should be close to对于失败查找，平均元素比较次数应接近 0.0.。
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For successful lookups, the average number of element comparisons should be close to 1.0.
For successful lookups, the average number of element comparisons should be close to对于成功查找，平均元素比较次数应接近 1.0.。
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Average probe lenghts should be close to 1.0.
Average probe lenghts should be close to 1.0.平均探查长度应接近1.0。
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Provides statistics on insertion, successful and unsuccessful lookups performed by a container. If the supplied hash function has good quality, then:
Provides statistics on insertion, successful and unsuccessful lookups performed by a container. If the supplied hash function has good quality, then:提供容器执行的插入操作、成功及失败查找操作的统计信息。若提供的哈希函数质量良好，则：
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__stats-type__
__stats-type__
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For successful (element found) or unsuccessful (not found) lookup, provides the number of operations performed by a container and statistics on the associated __probe length__ (number of xref:structures.adoc#structures_open_addressing_containers[bucket groups] accessed) and number of element comparisons per operation.
For successful (element found) or unsuccessful (not found) lookup, provides the number of operations performed by a container and statistics on the associated __probe length__ (number of xref:structures.adoc#structures_open_addressing_containers[bucket groups] accessed) and number of element comparisons per operation.对于成功（找到元素）或失败（未找到）查找操作，提供容器执行的操作次数及相关__探查长度__（访问的 xref:structures.adoc#structures_open_addressing_containers[桶组] 数量）和每次操作的元素比较次数的统计信息。
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__lookup-stats-type__
__lookup-stats-type_查找统计类型_
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Provides the number of insertion operations performed by a container and statistics on the associated __probe length__ (number of xref:structures.adoc#structures_open_addressing_containers[bucket groups] accessed per operation).
Provides the number of insertion operations performed by a container and statistics on the associated __probe length__ (number of提供容器执行的插入操作次数及相关__探查长度__（每次操作访问的 xref:structures.adoc#structures_open_addressing_containers[bucket groups] accessed per operation).桶组] 数量）的统计信息。
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__insertion-stats-type__
__insertion-stats-type_插入统计类型_
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Provides the average value, variance and standard deviation of a sequence of numerical values.
Provides the average value, variance and standard deviation of a sequence of numerical values.提供数值序列的平均值、方差和标准差。
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