тест оптионал

#include <algorithm>
#include <cmath>
#include <iostream>
#include <map>
#include <set>
#include <string>
#include <utility>
#include <vector>
#include <optional>


using namespace std;

const int MAX_RESULT_DOCUMENT_COUNT = 5;

string ReadLine() {
    string s;
    getline(cin, s);
    return s;
}

int ReadLineWithNumber() {
    int result;
    cin >> result;
    ReadLine();
    return result;
}

vector<string> SplitIntoWords(const string& text) {
    vector<string> words;
    string word;
    for (const char c : text) {
        if (c == ' ') {
            if (!word.empty()) {
                words.push_back(word);
                word.clear();
            }
        }
        else {
            word += c;
        }
    }
    if (!word.empty()) {
        words.push_back(word);
    }

    return words;
}

struct Document {
    Document() = default;

    Document(int id, double relevance, int rating)
        : id(id)
        , relevance(relevance)
        , rating(rating) {
    }

    int id = 0;
    double relevance = 0.0;
    int rating = 0;
};

template <typename StringContainer>
set<string> MakeUniqueNonEmptyStrings(const StringContainer& strings) {
    set<string> non_empty_strings;
    for (const string& str : strings) {
        if (!str.empty()) {
            non_empty_strings.insert(str);
        }
    }
    return non_empty_strings;
}

enum class DocumentStatus {
    ACTUAL,
    IRRELEVANT,
    BANNED,
    REMOVED,
};


class SearchServer {
public:
    inline static constexpr int INVALID_DOCUMENT_ID = -1;


    template <typename StringContainer>
    explicit SearchServer(const StringContainer& stop_words)
        : stop_words_(MakeUniqueNonEmptyStrings(stop_words)) {
    }

    explicit SearchServer(const string& stop_words_text)
        : SearchServer(SplitIntoWords(stop_words_text))
    {
    }

    [[nodiscard]] bool AddDocument(int document_id, const string& document, DocumentStatus status, const vector<int>& ratings) {
        if (document_id < 0 || documents_.count(document_id) > 0 ) {
            return false;
        }

        if (const auto words = SplitIntoWordsNoStop(document); words.has_value()) {
            /*if (words->empty()) {
                return false;
            }*/
            for (const string& word : words.value()) {
                if (!IsValidWord(word)) {
                    return false;
                }
            }
            /*if (words->empty()) {
                return false;
            }*/
            const double inv_word_count = 1.0 / words->size();
            for (const string& word : words.value()) {
                word_to_document_freqs_[word][document_id] += inv_word_count;
            }
            documents_.emplace(document_id, DocumentData{ ComputeAverageRating(ratings), status });
            documents_id.push_back(document_id);
            return true;
        }
        else
        {
            return false;
        }
    }

    template <typename DocumentPredicate>
    optional<vector<Document>> FindTopDocuments(const string& raw_query, DocumentPredicate document_predicate) const {


        if (const auto query = ParseQuery(raw_query); query.has_value()) {
            auto matched_documents = FindAllDocuments(query.value(), document_predicate);

            sort(matched_documents.begin(), matched_documents.end(),
                [](const Document& lhs, const Document& rhs) {
                    if (abs(lhs.relevance - rhs.relevance) < 1e-6) {
                        return lhs.rating > rhs.rating;
                    }
                    else {
                        return lhs.relevance > rhs.relevance;
                    }
                });
            if (matched_documents.size() > MAX_RESULT_DOCUMENT_COUNT) {
                matched_documents.resize(MAX_RESULT_DOCUMENT_COUNT);
            }
            return matched_documents;
        }
        else {
            return nullopt;
        }

    }

    optional<vector<Document>> FindTopDocuments(const string& raw_query, DocumentStatus status) const {
        return FindTopDocuments(raw_query, [status](int document_id, DocumentStatus document_status, int rating) {
            return document_status == status;
            });
    }

    optional<vector<Document>> FindTopDocuments(const string& raw_query) const {
        return FindTopDocuments(raw_query, DocumentStatus::ACTUAL);
    }

    int GetDocumentId(int index) const {
        for (const auto& [key_id, value] : documents_) {
            if (key_id == index) {
                return key_id;
            }
        }

        return INVALID_DOCUMENT_ID;
    }

    int GetDocumentCount() const {
        return static_cast<int>(documents_.size());
    }

    optional<tuple<vector<string>, DocumentStatus>> MatchDocument(const string& raw_query, int document_id) const {

        if (const auto query = ParseQuery(raw_query); query.has_value()) {
            vector<string> matched_words;
            for (const string& word : query->plus_words) {
                if (word_to_document_freqs_.count(word) == 0) {
                    continue;
                }
                if (word_to_document_freqs_.at(word).count(document_id)) {
                    matched_words.push_back(word);
                }
            }
            for (const string& word : query->minus_words) {
                if (word_to_document_freqs_.count(word) == 0) {
                    continue;
                }
                if (word_to_document_freqs_.at(word).count(document_id)) {
                    matched_words.clear();
                    break;
                }
            }
            tuple<vector<string>, DocumentStatus> returned_tuple = { matched_words, documents_.at(document_id).status };
            return returned_tuple;
        }
        else {
            return nullopt;
        }

    }

private:
    struct DocumentData {
        int rating;
        DocumentStatus status;
    };
    const set<string> stop_words_;
    map<string, map<int, double>> word_to_document_freqs_;
    map<int, DocumentData> documents_;
    vector<int> documents_id;

    struct QueryWord {
        string data;
        bool is_minus;
        bool is_stop;
    };

    struct Query {
        set<string> plus_words;
        set<string> minus_words;
    };

    bool IsStopWord(const string& word) const {
        return stop_words_.count(word) > 0;
    }


    static bool IsValidWord(const string& word) {
        return none_of(word.begin(), word.end(), [](char c) {
            return c >= '\0' && c < ' ';
            });
    }

    optional<vector<string>> SplitIntoWordsNoStop(const string& text) const {
        vector<string> words;
        for (const string& word : SplitIntoWords(text)) {
            if (!IsStopWord(word)) {
                if (word.empty() || !IsValidWord(word) || word == "-"s || word[0] == '-')
                {
                    return nullopt;
                }
                words.push_back(word);
            }
        }

        return words;
    }

    static int ComputeAverageRating(const vector<int>& ratings) {
        if (ratings.empty()) {
            return 0;
        }
        int rating_sum = 0;
        for (const int rating : ratings) {
            rating_sum += rating;
        }
        return rating_sum / static_cast<int>(ratings.size());
    }



    QueryWord ParseQueryWord(string text) const {
        bool is_minus = false;
        // Word shouldn't be empty
        if (text[0] == '-') {
            is_minus = true;
            text = text.substr(1);
        }

        return { text, is_minus, IsStopWord(text) };
    }



    optional<Query> ParseQuery(const string& text) const {
        Query query;
        for (const string& word : SplitIntoWords(text)) {
            const QueryWord query_word = ParseQueryWord(word);
            if (!query_word.is_stop) {
                if (query_word.is_minus) {
                    if (query_word.data == "-"s || !IsValidWord(query_word.data) || query_word.data.empty() || query_word.data[0] == '-') {
                        return nullopt;
                    }
                    query.minus_words.insert(query_word.data);
                }
                else {
                    if (query_word.data == "-"s || !IsValidWord(query_word.data) || query_word.data.empty() || query_word.data[0] == '-') {
                        return nullopt;
                    }
                    query.plus_words.insert(query_word.data);
                }
            }
        }

        /*for (const string& word : query.plus_words) {
            if (word == "-"s || !IsValidWord(word) || word.empty() || word[0] == '-') {
                return nullopt;
            }
        }
        for (const string& word : query.minus_words) {
            if (word == "-"s || !IsValidWord(word) || word.empty() || word[0] == '-') {
                return nullopt;
            }
        }*/

        return query;
    }

    double ComputeWordInverseDocumentFreq(const string& word) const {
        return log(GetDocumentCount() * 1.0 / word_to_document_freqs_.at(word).size());
    }

    template <typename DocumentPredicate>
    vector<Document> FindAllDocuments(const Query& query,
        DocumentPredicate document_predicate) const {
        map<int, double> document_to_relevance;
        for (const string& word : query.plus_words) {
            if (word_to_document_freqs_.count(word) == 0) {
                continue;
            }
            const double inverse_document_freq = ComputeWordInverseDocumentFreq(word);
            for (const auto [document_id, term_freq] : word_to_document_freqs_.at(word)) {
                const auto& document_data = documents_.at(document_id);
                if (document_predicate(document_id, document_data.status, document_data.rating)) {
                    document_to_relevance[document_id] += term_freq * inverse_document_freq;
                }
            }
        }

        for (const string& word : query.minus_words) {
            if (word_to_document_freqs_.count(word) == 0) {
                continue;
            }
            for (const auto [document_id, _] : word_to_document_freqs_.at(word)) {
                document_to_relevance.erase(document_id);
            }
        }

        vector<Document> matched_documents;
        for (const auto [document_id, relevance] : document_to_relevance) {
            matched_documents.push_back(
                { document_id, relevance, documents_.at(document_id).rating });
        }
        return matched_documents;
    }
};

// ==================== для примера =========================

void PrintDocument(const Document& document) {
    cout << "{ "s
        << "document_id = "s << document.id << ", "s
        << "relevance = "s << document.relevance << ", "s
        << "rating = "s << document.rating << " }"s << endl;
}
int main() {
    SearchServer search_server("и в на"s);
    // Явно игнорируем результат метода AddDocument, чтобы избежать предупреждения
    // о неиспользуемом результате его вызова
    (void)search_server.AddDocument(1, "пушистый кот пушистый хвост"s, DocumentStatus::ACTUAL, { 7, 2, 7 });
    if (!search_server.AddDocument(1, "пушистый пёс и модный ошейник"s, DocumentStatus::ACTUAL, { 1, 2 })) {
        cout << "Документ не был добавлен, так как его id совпадает с уже имеющимся"s << endl;
    }
    if (!search_server.AddDocument(-1, "пушистый пёс и модный ошейник"s, DocumentStatus::ACTUAL, { 1, 2 })) {
        cout << "Документ не был добавлен, так как его id отрицательный"s << endl;
    }
    if (!search_server.AddDocument(3, "большой пёс скво\x12рец"s, DocumentStatus::ACTUAL, { 1, 3, 2 })) {
        cout << "Документ не был добавлен, так как содержит спецсимволы"s << endl;
    }
    if (const auto documents = search_server.FindTopDocuments("--пушистый"s)) {
        for (const Document& document : *documents) {
            PrintDocument(document);
        }
    }
    else {
        cout << "Ошибка в поисковом запросе"s << endl;
    }
}