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

using namespace std;

const int MAX_RESULT_DOCUMENT_COUNT = 5;
//Интервал, в котором находится одна страница
//Содержит итератор начала, итератор конца и вспомогательные методы
template <typename Iterator>
class IteratorRange {
    IteratorRange(Iterator it_begin, Iterator it_end) :
        it_begin_(it_begin), it_end_(it_end) {}

    Iterator begin() {
        return it_begin_;
    }
    Iterator end() {
        return it_end_;
    }
    int size() {
        return distance(it_begin_, it_end_);
    }
private:
    Iterator it_begin_;
    Iterator it_end_;
};

template <typename Iterator>
class Paginator {
    Paginator(Iterator it_cont_begin, Iterator it_cont_end, size_t page_size) {
        for (auto it = it_cont_begin; it < it_cont_end; ++it) {
            IteratorRange page(it, advance(it, page_size));
            content_.push_back(page);
        }
    }
private:
    vector<IteratorRange<Iterator>> content_;
};

template <typename Container>
auto Paginate(const Container& c, size_t page_size) {
    return Paginator(begin(c), end(c), page_size);
}

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:
    template <typename StringContainer>
    explicit SearchServer(const StringContainer& stop_words)
        : stop_words_(MakeUniqueNonEmptyStrings(stop_words))  // Extract non-empty stop words
    {
        if (!all_of(stop_words_.begin(), stop_words_.end(), IsValidWord)) {
            throw invalid_argument("Some of stop words are invalid"s);
        }
    }

    explicit SearchServer(const string& stop_words_text)
        : SearchServer(
            SplitIntoWords(stop_words_text))  // Invoke delegating constructor from string container
    {
    }

    void AddDocument(int document_id, const string& document, DocumentStatus status,
                     const vector<int>& ratings) {
        if ((document_id < 0) || (documents_.count(document_id) > 0)) {
            throw invalid_argument("Invalid document_id"s);
        }
        const auto words = SplitIntoWordsNoStop(document);

        const double inv_word_count = 1.0 / words.size();
        for (const string& word : words) {
            word_to_document_freqs_[word][document_id] += inv_word_count;
        }
        documents_.emplace(document_id, DocumentData{ComputeAverageRating(ratings), status});
        document_ids_.push_back(document_id);
    }

    template <typename DocumentPredicate>
    vector<Document> FindTopDocuments(const string& raw_query,
                                      DocumentPredicate document_predicate) const {
        const auto query = ParseQuery(raw_query);

        auto matched_documents = FindAllDocuments(query, 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;
    }

    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;
            });
    }

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

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

    int GetDocumentId(int index) const {
        return document_ids_.at(index);
    }

    tuple<vector<string>, DocumentStatus> MatchDocument(const string& raw_query,
                                                        int document_id) const {
        const auto query = ParseQuery(raw_query);

        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;
            }
        }
        return {matched_words, documents_.at(document_id).status};
    }

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> document_ids_;

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

    static bool IsValidWord(const string& word) {
        // A valid word must not contain special characters
        return none_of(word.begin(), word.end(), [](char c) {
            return c >= '\0' && c < ' ';
        });
    }

    vector<string> SplitIntoWordsNoStop(const string& text) const {
        vector<string> words;
        for (const string& word : SplitIntoWords(text)) {
            if (!IsValidWord(word)) {
                throw invalid_argument("Word "s + word + " is invalid"s);
            }
            if (!IsStopWord(word)) {
                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());
    }

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

    QueryWord ParseQueryWord(const string& text) const {
        if (text.empty()) {
            throw invalid_argument("Query word is empty"s);
        }
        string word = text;
        bool is_minus = false;
        if (word[0] == '-') {
            is_minus = true;
            word = word.substr(1);
        }
        if (word.empty() || word[0] == '-' || !IsValidWord(word)) {
            throw invalid_argument("Query word "s + text + " is invalid");
        }

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

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

    Query ParseQuery(const string& text) const {
        Query result;
        for (const string& word : SplitIntoWords(text)) {
            const auto query_word = ParseQueryWord(word);
            if (!query_word.is_stop) {
                if (query_word.is_minus) {
                    result.minus_words.insert(query_word.data);
                } else {
                    result.plus_words.insert(query_word.data);
                }
            }
        }
        return result;
    }

    // Existence required
    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;
    }
};

int main() {
    SearchServer search_server("and with"s);
    search_server.AddDocument(1, "funny pet and nasty rat"s, DocumentStatus::ACTUAL, { 7, 2, 7 });
    search_server.AddDocument(2, "funny pet with curly hair"s, DocumentStatus::ACTUAL, { 1, 2, 3 });
    search_server.AddDocument(3, "big cat nasty hair"s, DocumentStatus::ACTUAL, { 1, 2, 8 });
    search_server.AddDocument(4, "big dog cat Vladislav"s, DocumentStatus::ACTUAL, { 1, 3, 2 });
    search_server.AddDocument(5, "big dog hamster Borya"s, DocumentStatus::ACTUAL, { 1, 1, 1 });
    const auto search_results = search_server.FindTopDocuments("curly dog"s);
    int page_size = 2;
    const auto pages = Paginate(search_results, page_size);
    // Выводим найденные документы по страницам
    for (auto page = pages.begin(); page != pages.end(); ++page) {
        cout << *page << endl;
        cout << "Page break"s << endl;
    }
}