Boost Unordered Translation (zh_Hans)/Doc / Modules / Root / Pages / Benchmarks (adoc) — Chinese (Simplified Han script) @ Boost-Weblate: The unsuccessful lookup benchmarks use `n` randomly generated integers but …

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Key	English	Chinese (Simplified Han script)
:291	Unsuccessful lookup	未命中查找
	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice.png]	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice.png]
	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique.png]	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique.png]
	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique 5.png]	image::benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique 5.png[width=250,window=_blank,link=_images/benchmarks-set/vs/scattered unsuccessful looukp.xlsx.practice non-unique 5.png]
:301	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
	boost::unordered_(flat\|node)_map	boost::unordered_(flat\|node)_map
:310	All benchmarks were created using:	所有基准测试均为使用以下链接来创建的：
	`https://abseil.io/docs/cpp/guides/container[absl::flat_hash_map^]<uint64_t, uint64_t>`	https://abseil.io/docs/cpp/guides/container[`absl::flat++_++hash++_++map`^]`++<++uint64++_++t, uint64++_++t++>++`
	`boost::unordered_map<uint64_t, uint64_t>`	`boost::unordered_map<uint64_t, uint64_t="">`</uint64_t,>
	`boost::unordered_flat_map<uint64_t, uint64_t>`	`boost::unordered_flat_map<uint64_t, uint64_t="">`</uint64_t,>
	`boost::unordered_node_map<uint64_t, uint64_t>`	`boost::unordered_node_map<uint64_t, uint64_t="">`</uint64_t,>
	The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_unordered_flat_map[found here^].	源代码可 https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_unordered_flat_map[在此处获取] 。
	The insertion benchmarks insert `n` random values, where `n` is between 10,000 and 10 million.	插入基准测试的操作将插入 `n` 个随机值，其中 `n` 的范围在10,000至1000万之间。
	The erasure benchmarks erase traverse the `n` elements and erase those with odd key (50% on average).	擦除基准测试会遍历全部 `n` 个元素，并删除其中键值为奇数的元素（平均约占50%）。
:323	The successful lookup benchmarks are done by looking up all `n` values, in their original insertion order.	成功查找基准测试通过按照元素的原始插入顺序查找全部 `n` 个值来完成。
:325	The unsuccessful lookup benchmarks use `n` randomly generated integers but using a different seed value.	未命中查找基准测试使用不同种子值生成的 `n` 个随机整数进行。
:328	GCC 12, x64	GCC 12, x64
	image::benchmarks-flat_map/gcc-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Running insertion.xlsx.plot.png]	image::benchmarks-flat_map/gcc-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Running insertion.xlsx.plot.png]
	image::benchmarks-flat_map/gcc-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Running erasure.xlsx.plot.png]	image::benchmarks-flat_map/gcc-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Running erasure.xlsx.plot.png]
	image::benchmarks-flat_map/gcc-x64/Scattered successful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Scattered successful looukp.xlsx.plot.png]	image::benchmarks-flat_map/gcc-x64/Scattered successful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Scattered successful looukp.xlsx.plot.png]
	image::benchmarks-flat_map/gcc-x64/Scattered unsuccessful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Scattered unsuccessful looukp.xlsx.plot.png]	image::benchmarks-flat_map/gcc-x64/Scattered unsuccessful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/gcc-x64/Scattered unsuccessful looukp.xlsx.plot.png]
:340	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:347	Clang 15, x64	Clang 15, x64
	image::benchmarks-flat_map/clang-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Running insertion.xlsx.plot.png]	image::benchmarks-flat_map/clang-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Running insertion.xlsx.plot.png]
	image::benchmarks-flat_map/clang-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Running erasure.xlsx.plot.png]	image::benchmarks-flat_map/clang-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Running erasure.xlsx.plot.png]
	image::benchmarks-flat_map/clang-x64/Scattered successful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Scattered successful looukp.xlsx.plot.png]	image::benchmarks-flat_map/clang-x64/Scattered successful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Scattered successful looukp.xlsx.plot.png]
	image::benchmarks-flat_map/clang-x64/Scattered unsuccessful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Scattered unsuccessful looukp.xlsx.plot.png]	image::benchmarks-flat_map/clang-x64/Scattered unsuccessful looukp.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/clang-x64/Scattered unsuccessful looukp.xlsx.plot.png]
:359	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:366	Visual Studio 2022, x64	Visual Studio 2022, x64
	image::benchmarks-flat_map/vs-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/vs-x64/Running insertion.xlsx.plot.png]	image::benchmarks-flat_map/vs-x64/Running insertion.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/vs-x64/Running insertion.xlsx.plot.png]
	image::benchmarks-flat_map/vs-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/vs-x64/Running erasure.xlsx.plot.png]	image::benchmarks-flat_map/vs-x64/Running erasure.xlsx.plot.png[width=250,window=_blank,link=_images/benchmarks-flat_map/vs-x64/Running erasure.xlsx.plot.png]

Key	English	Chinese (Simplified Han script)
:194	Unsuccessful lookup	未命中查找
:20	Insertion	插入
:204	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:213	Insertion	插入
:223	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:238	h\|non-duplicate elements, + prior `reserve` h\|duplicate elements, + prior `reserve` h\|duplicate elements, + max load factor 5, + prior `reserve`	h\|非重复元素, + 预先 `reserve` h\|重复元素, + 预先 `reserve` h\|重复元素, + 最大负载因子 5, + 预先 `reserve`
:248	Erasure	擦除
:258	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:268	h\|by key, duplicate elements h\|by key, duplicate elements, + max load factor 5	h\|通过键操作，重复元素 h\|通过键操作, 重复元素, + 最大负载因子 5
:274	Successful lookup	成功查找
:284	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:291	Unsuccessful lookup	未命中查找
:301	h\|non-duplicate elements h\|duplicate elements h\|duplicate elements, + max load factor 5	h\|非重复元素 h\|重复元素 h\|重复元素, + 最大负载因子 5
:310	All benchmarks were created using:	所有基准测试均为使用以下链接来创建的：
:323	The successful lookup benchmarks are done by looking up all `n` values, in their original insertion order.	成功查找基准测试通过按照元素的原始插入顺序查找全部 `n` 个值来完成。
:325	The unsuccessful lookup benchmarks use `n` randomly generated integers but using a different seed value.	未命中查找基准测试使用不同种子值生成的 `n` 个随机整数进行。
:328	GCC 12, x64	GCC 12, x64
:340	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:347	Clang 15, x64	Clang 15, x64
:359	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:366	Visual Studio 2022, x64	Visual Studio 2022, x64
:378	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:385	Clang 12, ARM64	Clang 12, ARM64
:397	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:404	GCC 12, x86	GCC 12, x86
:416	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:423	Clang 15, x86	Clang 15, x86
:435	h\|running insertion h\|running erasure h\|successful lookup h\|unsuccessful lookup	h\|插入的执行 h\|擦除的执行 h\|成功查找 h\|未命中查找
:44	h\|non-duplicate elements, + prior `reserve` h\|duplicate elements, + prior `reserve` h\|duplicate elements, + max load factor 5, + prior `reserve`	h\|非重复元素, + 预先 `reserve` h\|重复元素, + 预先 `reserve` h\|重复元素, + 最大负载因子 5, + 预先 `reserve`
:442	Visual Studio 2022, x86	Visual Studio 2022, x86

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Chinese (Simplified Han script) 99 characters editedCurrent translationState: Translated

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Chinese (Simplified Han script) 104 characters editedPrevious translationState: Needs editing (Needs rewriting)

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