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This can be worked around by declaring the container to use a custom allocator (perhaps using a `std::shared_ptr< std::pmr::memory_resource >` as a data member). This hinders library composition; every library now exports unique, incompatible container types. A raw memory resource pointer is also easy to misuse:
This can be worked around by declaring the container to use a custom allocator (perhaps using a 可通过声明容器使用自定义分配器（可能使用`std::shared_ptr<&lt; std::pmr::memory_resource >` as a data member). This hinders library composition; every library now exports unique, incompatible container types. A raw memory resource pointer is also easy to misuse:&gt;`作为数据成员）来解决此问题。这会阻碍库的组合；每个库都会导出各自独特且互不兼容的容器类型。原始内存资源指针也容易被误用：
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However, sometimes shared ownership is needed. Specifically, that the lifetime extension of the memory resource should be automatic. For example, if a library wants to return a container which owns an instance of the library's custom memory resource as shown below:
However, sometimes shared ownership is needed. Specifically, that the lifetime extension of the memory resource should be automatic. For example, if a library wants to return a container which owns an instance of the library's custom memory resource as shown below:然而，有时需要共享所有权，即内存资源的生命周期应自动延长。例如，若某个库希望返回一个容器，该容器拥有该库自定义内存资源的实例，如下所示：
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The memory resource is passed by pointer; ownership is not transferred. The caller is responsible for extending the lifetime of the memory resource until the last container which is using it goes out of scope, otherwise the behavior is undefined. Sometimes this is the correct model, such as in this example which uses a monotonic resource constructed from a local stack buffer:
The memory resource is passed by pointer; ownership is not transferred. The caller is responsible for extending the lifetime of the memory resource until the last container which is using it goes out of scope, otherwise the behavior is undefined. Sometimes this is the correct model, such as in this example which uses a monotonic resource constructed from a local stack buffer:内存资源通过指针传递；所有权不发生转移。调用方需负责确保该内存资源的生命周期持续到所有使用它的容器都离开作用域为止，否则行为未定义。在某些场景下，这种模型是合适的，例如以下示例中使用了一个基于局部栈缓冲区构造的单调内存资源：
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A polymorphic allocator constructs with a pointer to a memory resource:
A polymorphic allocator constructs with a pointer to a memory resource:多态分配器通过一个指向内存资源的指针进行构造：
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The class template {ref_polymorphic_allocator} wraps a {ref_memory_resource} pointer and meets the requirements of {req_Allocator}, allowing it to be used where an allocator is expected. The standard provides type aliases using the polymorphic allocator for standard containers:
The class template 类模板{ref_polymorphic_allocator} wraps a 包装了{ref_memory_resource} pointer and meets the requirements of {req_Allocator}, allowing it to be used where an allocator is expected. The standard provides type aliases using the polymorphic allocator for standard containers:指针，并满足{req_Allocator}要求，使其可在需要分配器的地方使用。标准库为使用多态分配器的标准容器提供了类型别名：
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{cpp}17 improves the allocator model by representing the low-level allocation operation with an abstract interface called {ref_memory_resource}, which is not parameterized on the element type, and has no traits:
{cpp}17 improves the allocator model by representing the low-level allocation operation with an abstract interface called {ref_memory_resource}, which is not parameterized on the element type, and has no traits:通过引入一个名为 {ref_memory_resource} 的抽象接口来表示底层分配操作，从而改进分配器模型。该接口未在元素类型上参数化，且无特征：
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Polymorphic Allocators
Polymorphic Allocators多态分配器
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Allocator-based programs which use multiple allocator types incur a greater number of function template instantiations and are generally slower to compile because class template function definitions must be visible at all call sites.
Allocator-based programs which use multiple allocator types incur a greater number of function template instantiations and are generally slower to compile because class template function definitions must be visible at all call sites.使用多种分配器类型的基于分配器的程序会引发更多的函数模板实例化，且通常编译速度更慢，因为类模板的函数定义必须在所有调用点可见。
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is complicated and error-prone.
is complicated and error-prone.是复杂且容易出错的。
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The system of allocator traits, especially POCCA and POCMA,
The system of allocator traits, especially分配器特征机制，尤其是 POCCA and和 POCMA,，
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Parameterizing the allocator on the element type is clumsy.
Parameterizing the allocator on the element type is clumsy.在元素类型上参数化分配器的方式显得笨拙。
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The container must be a class template.
The container must be a class template.容器必须是一个类模板。
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While the system works, it has some usability problems:
While the system works, it has some usability problems:尽管该机制能够正常工作，但仍存在一些可用性问题：
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The standard allocator is {req_DefaultConstructible}. To support stateful allocators, containers provide additional constructor overloads taking an allocator instance parameter.
The standard allocator is {req_DefaultConstructible}. To support stateful allocators, containers provide additional constructor overloads taking an allocator instance parameter.标准分配器是{req_DefaultConstructible}。为支持有状态分配器，容器提供了额外的构造函数重载，接受一个分配器实例参数。
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= Background The first version of allocators in C++ defined the named requirement {req_Allocator}, and made each standard container a class template parameterized on the allocator type. For example, here is the declaration for {std_vector}:
= Background The first version of allocators in C++ defined the named requirement {req_Allocator}, and made each standard container a class template parameterized on the allocator type. For example, here is the declaration for背景 C++中分配器的第一个版本定义了名为{req_Allocator}的要求，并将每个标准容器设计为以分配器类型为模板参数的类模板。例如，以下是 {std_vector}: 的声明：
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Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at https://www.boost.org/LICENSE_1_0.txt)
Distributed under the Boost Software License, Version 1.0. (See accompanying file根据 Boost 软件许可协议 1.0 版分发。（详见随附文件 LICENSE_1_0.txt or copy at文件或访问 https://www.boost.org/LICENSE_1_0.txt) ）
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License
License许可证
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Fuzzing using clang-llvm and machine learning
Fuzzing using clang-llvm and machine learning使用 clang-llvm 和机器学习的模糊测试
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