请将上面的代码转换为C++代码-Go服务器开发

将你提供的 Python 代码转换为 C++ 代码涉及几个步骤，包括语法和库的更改。下面是一个基于原始 Python 逻辑的 C++ 实现示例：

#include <string>
#include <unordered_map>
#include <vector>
#include <regex>
#include <algorithm>

class TrieNode {
public:
    bool is_end;
    int weight;
    std::unordered_map<char, TrieNode*> children;

    TrieNode() : is_end(false), weight(0) {}
};

class Trie {
public:
    TrieNode* root;

    Trie() {
        root = new TrieNode();
    }

    void insert(const std::string& word, int weight) {
        TrieNode* node = root;
        for (char c : word) {
            if (!node->children.count(c)) {
                node->children[c] = new TrieNode();
            }
            node = node->children[c];
        }
        node->is_end = true;
        node->weight = weight; // Set the weight at the end of the word
    }

    TrieNode* search_prefix(const std::string& prefix) {
        TrieNode* node = root;
        for (char c : prefix) {
            if (!node->children.count(c)) {
                return nullptr; // Prefix not found
            }
            node = node->children[c];
        }
        return node; // Return the last character's node
    }
};

class TextProcessor {
private:
    std::unordered_map<char, std::string> char2pinyin;
    std::unordered_map<std::string, std::vector<char>> pinyin2char;

public:
    TextProcessor(const std::unordered_map<char, std::string>& charPinyin,
                  const std::unordered_map<std::string, std::vector<char>>& pinyinChar)
                  : char2pinyin(charPinyin), pinyin2char(pinyinChar) {}

    std::vector<std::string> generate_possible_words(const std::string& word_to_check,
                                                     const std::unordered_map<char, std::string>& char2pinyin,
                                                     const std::unordered_map<std::string, std::vector<char>>& pinyin2char,
                                                     const std::unordered_set<char>& chars_set) {
        // Implement your logic to generate possible words based on input
        // This function should return a vector of possible words.
        return {}; // Placeholder
    }

    std::string post_process(const std::string& text, Trie& trie,
                             const std::unordered_set<char>& chars_set) {
        
        // Filter out characters not in chars_set from char2pinyin and create pinyin2char mapping.
        auto filtered_char2pinyin = char2pinyin; // A shallow copy can be used or deep filtered map if necessary.
        
        for (auto it = filtered_char2pinyin.begin(); it != filtered_char2pinyin.end();) {
            if (chars_set.find(it->first) == chars_set.end()) { 
                it = filtered_char2pinyin.erase(it);
            } else {
                ++it;
            }
        }

        auto filtered_pinyin2char = pinyin2char; 
            
        for (auto& [pinyin, chars] : filtered_pinyin2char) {
            chars.erase(std::remove_if(chars.begin(), chars.end(),
                [&chars_set](char c){ return chars_set.find(c) == chars_set.end(); }), 
                chars.end());
                
            if (chars.empty()) { 
                filtered_pinyin2char.erase(pinyin);
            }
        }

       // Using regex to split text into parts of Chinese and English characters.
       std::regex regex("[a-zA-Z]+|[\u4e00-\u9fff]+");
       auto begin = std::sregex_iterator(text.begin(), text.end(), regex);
       auto end = std::sregex_iterator();

       // Corrected parts collection.
       std::vector<std::string> corrected_parts;

       for (std::sregex_iterator i = begin; i != end; ++i) {
           auto part = (*i).str();
           if (std :: all_of(part.begin(), part.end(), [](unsigned char c){ return isalpha(c); })) { 
               corrected_parts.push_back(part); 
           } else {    
               size_t i_part= 0;
               size_t N= part.length();
              std: string corrected_sentence="";
               
               while(i_part < N){
                   bool matched= false;     
                   for(size_t j=std :: min(N-i_part,(size_t)5);j > 0;j--) {  
                       auto word_to_check= part.substr(i_part,j);
                       auto possible_words= generate_possible_words(word_to_check,char2pinyin,pinying2char,chars_set);
                       best_match="";
                       int best_score=-1e9;

                       for(auto &possible_word: possible_words){
                           auto node=trie.search_prefix(possible_word);

                           if(node && node->is_end){
                               int score=node->weight;

                               if(score > best_score){
                                   best_score=score;
                                   best_match=possible_word;
                                   matched=true;
                               }
                           }
                        }

                      if(matched){
                          corrected_sentence += best_match;
                          i_part += j;      
                          break;
                      }else{
                          corrected_sentence += part[i_part++];
                      }  
                  }         
              }
              corrected_parts.push_back(corrected_sentence);
          }
      }

      return join(corrected_parts);   // You need to implement a method to join strings in vector as one string.
   }

// Implement a method to join vector of strings into a single string
std :: string join(const vector<string>& v){
     return accumulate(v.begin(),v.end(),std :: string{}, [](const string &a,const string &b){return a+b;});
}

};

注意事项

Trie 类: 提供了插入和前缀搜索功能。
正则表达式: 使用 <regex> 库来处理中文和英文字符的匹配。
字符集合: 使用 std 的 unordered_set 来存储有效字符集合。
字符串拼接: 在C++中，可以使用标准库函数或其他方法将多个字符串连接在一起。上面的示例中有 join 函数实现。
生成可能单词的方法: generate_possible_words 方法需要根据具体逻辑实现，当前只是一个占位符。
内存管理: C++ 不会自动管理内存，需要小心处理动态分配的对象（例如 Trie 的节点），以避免内存泄漏。可以考虑使用智能指针来帮助管理生命周期。