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Project website www.boost.org
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Please translate the Boost.Unordered documentation. Maintain technical accuracy and follow exact formatting conventions.
Project maintainers1 User avatar william
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Source code repository git@github.com:CppDigest/unordered.git
Repository branch local-zh_Hans
Last commit in Weblate Translated using Weblate (Chinese (Simplified Han script)) 27b3a7b
User avatar admin authored 06/05/2026
Weblate repository https://insights.cppalliance.org/weblate/git/boost-unordered-documentation-zh_Hans/doc-modules-root-nav-adoc/
File mask doc/modules/ROOT/pages/concurrent_*.adoc
Monolingual base language file doc/modules/ROOT/pages/concurrent.adoc
07/20/2026

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Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 72 1,850 14,000
Source 36 925 7,000
Translated 100% 72 100% 1,850 100% 14,000
Needs editing 0% 0 0% 0 0% 0
Read-only 50% 36 50% 925 50% 7,000
Failing checks 6% 5 2% 53 4% 560
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 0% 0 0% 0 0% 0
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File upload mode: Add as translation 06/05/2026
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Translation uploaded
This interoperability comes handy in multistage scenarios where parts of the data processing happen in parallel whereas other steps are non-concurrent (or non-modifying). In the following example, we want to construct a histogram from a huge input vector of words: the population phase can be done in parallel with `boost::concurrent_flat_map` and results then transferred to the final container.
This interoperability comes handy in multistage scenarios where parts of the data processing happen in parallel whereas other steps are non-concurrent (or non-modifying). In the following example, we want to construct a histogram from a huge input vector of words: the population phase can be done in parallel with `boost::concurrent_flat_map` and results then transferred to the final container.此互操作性适用于多阶段场景：部分数据处理环节需要并行执行，而其他步骤采用非并发（或只读）模式。下例中，我们需要从一个庞大的单词输入向量构建词频统计直方图：填充阶段用 `boost::concurrent++_++flat++_++map` 并行执行，随后将结果转移至最终容器。
06/05/2026
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Translation uploaded
^|`boost::concurrent_flat_map` ^|`boost::unordered_flat_map`
^|`boost::concurrent_flat_mapset` ^|`boost::unordered_flat_mapset`
06/05/2026
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Translation uploaded
^|`boost::concurrent_flat_set` ^|`boost::unordered_flat_set`
^|`boost::concurrent_flat_set` ^|`boost::unordered_flat_set`
06/05/2026
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Translation uploaded
^|`boost::concurrent_node_map` ^|`boost::unordered_node_map`
^|`boost::concurrent_node_map` ^|`boost::unordered_node_map`
06/05/2026
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Translation uploaded
^|`boost::concurrent_node_set` ^|`boost::unordered_node_set`
^|`boost::concurrent_node_set` ^|`boost::unordered_node_set`
06/05/2026
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Translation uploaded
As open-addressing and concurrent containers are based on the same internal data structure, they can be efficiently move-constructed from their non-concurrent counterpart, and vice versa.
As open-addressing and concurrent containers are based on the same internal data structure, they can be efficiently move-constructed from their non-concurrent counterpart, and vice versa.由于开放寻址容器与并发容器基于相同的内部数据结构，它们可以高效地通过移动构造从其非并发对应容器转换而来，反之亦然。
06/05/2026
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