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        如何获得n嵌套向量的最内部类型?

        时间:2024-08-14
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                • 本文介绍了如何获得n嵌套向量的最内部类型?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

                  问题描述

                  我需要获取 n 嵌套向量的内部类型.例如:

                  I need to get the inner type of a n-nested vector. For Example:

                  type a;                          //base_type of a = type
                  std::vector<type> b;             //base_type of b = type
                  std::vector<std::vector<type>> c;//base_type of c = type
                  

                  等等.我尝试使用包装器,但这会导致编译器错误.

                  and so on. I tried using a wrapper, but this results in a compiler error.

                  template<typename T1>
                  struct base_type : T1::value_type { };
                  
                  template<typename T1>
                  struct base_type<std::vector<T1>> {
                      using type = typename base_type<T1>::value_type;
                  };
                  

                  推荐答案

                  你的两个案例都错了.

                  您的基本案例应该是非vector 案例.对于非vector,没有::value_type.你只想要类型:

                  Your base case should be the non-vector case. For a non-vector, there is no ::value_type. You just want the type:

                  template <typename T>
                  struct base_type {
                      using type = T;
                  };
                  

                  对于您的递归情况,base_type 的结果"类型被命名为 type.不是 value_type,所以我们必须在这里使用它:

                  For your recursive case, base_type's "result" type is named type. Not value_type, so we have to use that here:

                  template<typename T>
                  struct base_type<std::vector<T>> {
                      using type = typename base_type<T>::type;
                  };
                  

                  我们可以简化为:

                  template<typename T>
                  struct base_type<std::vector<T>> 
                  : base_type<T>
                  { };
                  

                  这篇关于如何获得n嵌套向量的最内部类型?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

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