Boost Json Translation (zh_Hans) - Chinese (Simplified Han script) @ Boost-Weblate

English

The parser in this library implements a https://en.wikipedia.org/wiki/Online_algorithm[__streaming algorithm__]; it can process JSON piece-by-piece, without the requirement that the entire input is available from the start. The parser uses a temporary memory allocation to do its work. If you plan on parsing multiple JSONs, for example in a network server, keeping the same parser instance will allow re-use of this temporary storage, improving performance.

:95 :95
	English <<ref_kind,`kind::array`>>
	Chinese (Simplified Han script) <<ref_kind,`kind::array`>></ref_kind,`kind::array`> 57/260 · 26 Needs editing
18 :49
	English <<ref_is_deallocate_trivial>>
	Chinese (Simplified Han script) <<ref_is_deallocate_trivial>></ref_is_deallocate_trivial> 63/290 · 29 Needs editing
18 :111
	English We would like an allocator model using a single type `T` with the following properties:
	Chinese (Simplified Han script) 我们希望采用一种使用单一类型`T`的分配器模型，该模型具有以下特性： 34/870 · 87 Needs editing
18 :42
	English <<ref_value_stack>>
	Chinese (Simplified Han script) <<ref_value_stack>></ref_value_stack> 43/190 · 19 Needs editing
18 :171
	English The parser in this library implements a https://en.wikipedia.org/wiki/Online_algorithm[__streaming algorithm__]; it can process JSON piece-by-piece, without the requirement that the entire input is available from the start. The parser uses a temporary memory allocation to do its work. If you plan on parsing multiple JSONs, for example in a network server, keeping the same parser instance will allow re-use of this temporary storage, improving performance.
	Chinese (Simplified Han script) 本库中的解析器实现了一种 https://en.wikipedia.org/wiki/Online_algorithm[__streaming algorithm__]（流式算法）；它可逐段处理 JSON，无需从一开始就提供完整输入。解析器在工作时会使用临时内存分配。如果计划解析多个 JSON（例如在网络服务器中），复用同一个解析器实例可以重用该临时存储，从而提升性能。 186/4580 · 458 Needs editing
18 :58
	English https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`], which uses the default `std` allocator, and is designed for general use including mutation of the document after it is parsed. This library does not provide an interface to reuse temporary storage used during parsing or serialization on subsequent operations. \|===
	Chinese (Simplified Han script) https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`] 来实现的，该函数使用默认的 `std` 分配器，适用于通用场景，包括解析后对文档的修改。该库未提供复用解析或序列化过程中所用临时存储的接口，因此无法在后续操作中重用这些临时内存。 204/3800 · 380 Needs editing
18 :76
	English Comparison to RapidJSON
	Chinese (Simplified Han script) 与RapidJSON的比较 13/230 · 23 Needs editing
18 :61
	English The result is created via <<ref_value_to_number>>.
	Chinese (Simplified Han script) 结果通过 <<ref_value_to_number>> 创建。</ref_value_to_number> 60/500 · 50 Needs editing
19 :23
	English https://github.com/boostorg/json/actions?query=workflow%3Afuzz+branch%3Adevelop[image:https://github.com/boostorg/json/workflows/fuzz/badge.svg?branch=develop[fuzz]]
	Chinese (Simplified Han script) https://github.com/boostorg/json/actions?query=workflow%3Afuzz+branch%3Adevelop[image:https://github.com/boostorg/json/workflows/fuzz/badge.svg?branch=develop[模糊测试]] 165/1650 · 165 Needs editing
19 :49
	English `size_type` parameters that specify a substring, or
	Chinese (Simplified Han script) 用于指定子字符串的`size_type` 类型的参数，或 28/510 · 51 Needs editing
19 :123
	English As was shown previously, generic conversions provided by the library forward contexts to conversions of nested objects. And in the case when you want to provide your own conversion function for a composite type enabled by a particular context, you usually also need to do that.
	Chinese (Simplified Han script) 如前所示，库提供的通用转换会将上下文传递给嵌套对象的转换函数。因此，当您希望为特定上下文启用的某个复合类型提供自己的转换函数时，通常也需要这样做 72/2770 · 277 Needs editing
19 :95
	English Users can freely combine types with custom conversions with types with library-provided conversions. The library handles them correctly:
	Chinese (Simplified Han script) 用户可以自由地将具有自定义转换的类型与具有库提供转换的类型组合使用，库能正确处理它们： 43/1360 · 136 Needs editing
:95 :95
	English <<ref_array>>
	Chinese (Simplified Han script) <<ref_array>></ref_array> 31/130 · 13 Needs editing
19 :49
	English A customization point allowing a memory resource type to indicate that calls
	Chinese (Simplified Han script) 一个自定义点，允许内存资源类型表明其 18/760 · 76 Needs editing
19 :114
	English `T` is not a class template
	Chinese (Simplified Han script) `T`不是类模板 8/270 · 27 Needs editing
19 :42
	English A low level building block used for efficiently building a <<ref_value>>. The
	Chinese (Simplified Han script) 一种用于高效构建 <<ref_value>> 的低层构建块。</ref_value> 48/770 · 77 Needs editing
19 :184
	English With strategic use of the right memory resources, parser instance, and calculated upper limits on buffer sizes, it is possible to parse and examine JSON without __any__ dynamic memory allocations. This is explored in more detail in a later section.
	Chinese (Simplified Han script) 通过合理使用适当的内存资源、解析器实例及缓冲区大小的计算上限，可在不进行__任何__动态内存分配的情况下解析和检查 JSON。后续章节将对此进行更详细探讨。 78/2480 · 248 Needs editing
19 :65
	English Methodology
	Chinese (Simplified Han script) 方法论 3/110 · 11 Needs editing
19 :78
	English Value Type: https://github.com/Tencent/rapidjson/blob/bb5f966b9939d6cdfbac3462a0410e185099b3af/include/rapidjson/document.h#L608[`rapidjson::GenericValue`]
	Chinese (Simplified Han script) 值类型：https://github.com/Tencent/rapidjson/blob/bb5f966b9939d6cdfbac3462a0410e185099b3af/include/rapidjson/document.h#L608[`rapidjson::GenericValue`] 147/1550 · 155 Needs editing
19 :61
	English Type satisfying <<ref_is_null_like>>
	Chinese (Simplified Han script) 满足 <<ref_is_null_like>> 的类型</ref_is_null_like> 52/360 · 36 Needs editing

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