SHOW:
|
|
- or go back to the newest paste.
| 1 | // search_server_s1_t3_v1.cpp | |
| 2 | ||
| 3 | #include <algorithm> | |
| 4 | #include <cmath> | |
| 5 | #include <iostream> | |
| 6 | #include <map> | |
| 7 | #include <set> | |
| 8 | #include <string> | |
| 9 | #include <utility> | |
| 10 | #include <vector> | |
| 11 | ||
| 12 | using namespace std; | |
| 13 | ||
| 14 | const int MAX_RESULT_DOCUMENT_COUNT = 5; | |
| 15 | ||
| 16 | string ReadLine() {
| |
| 17 | string s; | |
| 18 | getline(cin, s); | |
| 19 | return s; | |
| 20 | } | |
| 21 | ||
| 22 | int ReadLineWithNumber() {
| |
| 23 | int result; | |
| 24 | cin >> result; | |
| 25 | ReadLine(); | |
| 26 | return result; | |
| 27 | } | |
| 28 | ||
| 29 | vector<string> SplitIntoWords(const string& text) {
| |
| 30 | vector<string> words; | |
| 31 | string word; | |
| 32 | for (const char c : text) {
| |
| 33 | if (c == ' ') {
| |
| 34 | words.push_back(word); | |
| 35 | word = ""; | |
| 36 | } else {
| |
| 37 | word += c; | |
| 38 | } | |
| 39 | } | |
| 40 | words.push_back(word); | |
| 41 | ||
| 42 | return words; | |
| 43 | } | |
| 44 | ||
| 45 | struct Document {
| |
| 46 | int id; | |
| 47 | double relevance; | |
| 48 | int rating; | |
| 49 | }; | |
| 50 | ||
| 51 | enum class DocumentStatus {
| |
| 52 | ACTUAL, | |
| 53 | IRRELEVANT, | |
| 54 | BANNED, | |
| 55 | REMOVED, | |
| 56 | }; | |
| 57 | ||
| 58 | class SearchServer {
| |
| 59 | public: | |
| 60 | void SetStopWords(const string& text) {
| |
| 61 | for (const string& word : SplitIntoWords(text)) {
| |
| 62 | stop_words_.insert(word); | |
| 63 | } | |
| 64 | } | |
| 65 | ||
| 66 | void AddDocument(int document_id, const string& document, DocumentStatus status, const vector<int>& ratings) {
| |
| 67 | const vector<string> words = SplitIntoWordsNoStop(document); | |
| 68 | const double inv_word_count = 1.0 / words.size(); | |
| 69 | for (const string& word : words) {
| |
| 70 | word_to_document_freqs_[word][document_id] += inv_word_count; | |
| 71 | } | |
| 72 | documents_.emplace(document_id, | |
| 73 | DocumentData{
| |
| 74 | ComputeAverageRating(ratings), | |
| 75 | status | |
| 76 | }); | |
| 77 | } | |
| 78 | ||
| 79 | template <typename DocumentPredicate> | |
| 80 | vector<Document> FindTopDocuments(const string& raw_query, DocumentPredicate document_predicate) const {
| |
| 81 | const Query query = ParseQuery(raw_query); | |
| 82 | auto matched_documents = FindAllDocuments(query, document_predicate); | |
| 83 | ||
| 84 | sort(matched_documents.begin(), matched_documents.end(), | |
| 85 | [](const Document& lhs, const Document& rhs) {
| |
| 86 | if (abs(lhs.relevance - rhs.relevance) < 1e-6) {
| |
| 87 | return lhs.rating > rhs.rating; | |
| 88 | } else {
| |
| 89 | return lhs.relevance > rhs.relevance; | |
| 90 | } | |
| 91 | }); | |
| 92 | if (matched_documents.size() > MAX_RESULT_DOCUMENT_COUNT) {
| |
| 93 | matched_documents.resize(MAX_RESULT_DOCUMENT_COUNT); | |
| 94 | } | |
| 95 | return matched_documents; | |
| 96 | } | |
| 97 | ||
| 98 | vector<Document> FindTopDocuments(const string& raw_query) const {
| |
| 99 | return FindTopDocuments(raw_query, [](int document_id, DocumentStatus status, int rating) { return status == DocumentStatus::ACTUAL; });
| |
| 100 | } | |
| 101 | ||
| 102 | int GetDocumentCount() const {
| |
| 103 | return documents_.size(); | |
| 104 | } | |
| 105 | ||
| 106 | tuple<vector<string>, DocumentStatus> MatchDocument(const string& raw_query, int document_id) const {
| |
| 107 | const Query query = ParseQuery(raw_query); | |
| 108 | vector<string> matched_words; | |
| 109 | for (const string& word : query.plus_words) {
| |
| 110 | if (word_to_document_freqs_.count(word) == 0) {
| |
| 111 | continue; | |
| 112 | } | |
| 113 | if (word_to_document_freqs_.at(word).count(document_id)) {
| |
| 114 | matched_words.push_back(word); | |
| 115 | } | |
| 116 | } | |
| 117 | for (const string& word : query.minus_words) {
| |
| 118 | if (word_to_document_freqs_.count(word) == 0) {
| |
| 119 | continue; | |
| 120 | } | |
| 121 | if (word_to_document_freqs_.at(word).count(document_id)) {
| |
| 122 | matched_words.clear(); | |
| 123 | break; | |
| 124 | } | |
| 125 | } | |
| 126 | return {matched_words, documents_.at(document_id).status};
| |
| 127 | } | |
| 128 | ||
| 129 | private: | |
| 130 | struct DocumentData {
| |
| 131 | int rating; | |
| 132 | DocumentStatus status; | |
| 133 | }; | |
| 134 | ||
| 135 | set<string> stop_words_; | |
| 136 | map<string, map<int, double>> word_to_document_freqs_; | |
| 137 | map<int, DocumentData> documents_; | |
| 138 | ||
| 139 | bool IsStopWord(const string& word) const {
| |
| 140 | return stop_words_.count(word) > 0; | |
| 141 | } | |
| 142 | ||
| 143 | vector<string> SplitIntoWordsNoStop(const string& text) const {
| |
| 144 | vector<string> words; | |
| 145 | for (const string& word : SplitIntoWords(text)) {
| |
| 146 | if (!IsStopWord(word)) {
| |
| 147 | words.push_back(word); | |
| 148 | } | |
| 149 | } | |
| 150 | return words; | |
| 151 | } | |
| 152 | ||
| 153 | static int ComputeAverageRating(const vector<int>& ratings) {
| |
| 154 | int rating_sum = 0; | |
| 155 | for (const int rating : ratings) {
| |
| 156 | rating_sum += rating; | |
| 157 | } | |
| 158 | return rating_sum / static_cast<int>(ratings.size()); | |
| 159 | } | |
| 160 | ||
| 161 | struct QueryWord {
| |
| 162 | string data; | |
| 163 | bool is_minus; | |
| 164 | bool is_stop; | |
| 165 | }; | |
| 166 | ||
| 167 | QueryWord ParseQueryWord(string text) const {
| |
| 168 | bool is_minus = false; | |
| 169 | // Word shouldn't be empty | |
| 170 | if (text[0] == '-') {
| |
| 171 | is_minus = true; | |
| 172 | text = text.substr(1); | |
| 173 | } | |
| 174 | return {
| |
| 175 | text, | |
| 176 | is_minus, | |
| 177 | IsStopWord(text) | |
| 178 | }; | |
| 179 | } | |
| 180 | ||
| 181 | struct Query {
| |
| 182 | set<string> plus_words; | |
| 183 | set<string> minus_words; | |
| 184 | }; | |
| 185 | ||
| 186 | Query ParseQuery(const string& text) const {
| |
| 187 | Query query; | |
| 188 | for (const string& word : SplitIntoWords(text)) {
| |
| 189 | const QueryWord query_word = ParseQueryWord(word); | |
| 190 | if (!query_word.is_stop) {
| |
| 191 | if (query_word.is_minus) {
| |
| 192 | query.minus_words.insert(query_word.data); | |
| 193 | } else {
| |
| 194 | query.plus_words.insert(query_word.data); | |
| 195 | } | |
| 196 | } | |
| 197 | } | |
| 198 | return query; | |
| 199 | } | |
| 200 | ||
| 201 | // Existence required | |
| 202 | double ComputeWordInverseDocumentFreq(const string& word) const {
| |
| 203 | return log(GetDocumentCount() * 1.0 / word_to_document_freqs_.at(word).size()); | |
| 204 | } | |
| 205 | ||
| 206 | template <typename DocumentPredicate> | |
| 207 | vector<Document> FindAllDocuments(const Query& query, DocumentPredicate document_predicate) const {
| |
| 208 | map<int, double> document_to_relevance; | |
| 209 | for (const string& word : query.plus_words) {
| |
| 210 | if (word_to_document_freqs_.count(word) == 0) {
| |
| 211 | continue; | |
| 212 | } | |
| 213 | const double inverse_document_freq = ComputeWordInverseDocumentFreq(word); | |
| 214 | for (const auto [document_id, term_freq] : word_to_document_freqs_.at(word)) {
| |
| 215 | const auto& document_data = documents_.at(document_id); | |
| 216 | if (document_predicate(document_id, document_data.status, document_data.rating)) {
| |
| 217 | document_to_relevance[document_id] += term_freq * inverse_document_freq; | |
| 218 | } | |
| 219 | } | |
| 220 | } | |
| 221 | ||
| 222 | for (const string& word : query.minus_words) {
| |
| 223 | if (word_to_document_freqs_.count(word) == 0) {
| |
| 224 | continue; | |
| 225 | } | |
| 226 | for (const auto [document_id, _] : word_to_document_freqs_.at(word)) {
| |
| 227 | document_to_relevance.erase(document_id); | |
| 228 | } | |
| 229 | } | |
| 230 | ||
| 231 | vector<Document> matched_documents; | |
| 232 | for (const auto [document_id, relevance] : document_to_relevance) {
| |
| 233 | matched_documents.push_back({
| |
| 234 | document_id, | |
| 235 | relevance, | |
| 236 | documents_.at(document_id).rating | |
| 237 | }); | |
| 238 | } | |
| 239 | return matched_documents; | |
| 240 | } | |
| 241 | }; | |
| 242 | ||
| 243 | ||
| 244 | // ==================== для примера ========================= | |
| 245 | ||
| 246 | ||
| 247 | void PrintDocument(const Document& document) {
| |
| 248 | cout << "{ "s
| |
| 249 | << "document_id = "s << document.id << ", "s | |
| 250 | << "relevance = "s << document.relevance << ", "s | |
| 251 | << "rating = "s << document.rating | |
| 252 | << " }"s << endl; | |
| 253 | } | |
| 254 | ||
| 255 | int main() {
| |
| 256 | SearchServer search_server; | |
| 257 | search_server.SetStopWords("и в на"s);
| |
| 258 | ||
| 259 | search_server.AddDocument(0, "белый кот и модный ошейник"s, DocumentStatus::ACTUAL, {8, -3});
| |
| 260 | search_server.AddDocument(1, "пушистый кот пушистый хвост"s, DocumentStatus::ACTUAL, {7, 2, 7});
| |
| 261 | search_server.AddDocument(2, "ухоженный пёс выразительные глаза"s, DocumentStatus::ACTUAL, {5, -12, 2, 1});
| |
| 262 | search_server.AddDocument(3, "ухоженный скворец евгений"s, DocumentStatus::BANNED, {9});
| |
| 263 | ||
| 264 | cout << "ACTUAL by default:"s << endl; | |
| 265 | for (const Document& document : search_server.FindTopDocuments("пушистый ухоженный кот"s)) {
| |
| 266 | PrintDocument(document); | |
| 267 | } | |
| 268 | ||
| 269 | cout << "ACTUAL:"s << endl; | |
| 270 | for (const Document& document : search_server.FindTopDocuments("пушистый ухоженный кот"s, [](int document_id, DocumentStatus status, int rating) { return status == DocumentStatus::ACTUAL; })) {
| |
| 271 | PrintDocument(document); | |
| 272 | } | |
| 273 | ||
| 274 | cout << "Even ids:"s << endl; | |
| 275 | for (const Document& document : search_server.FindTopDocuments("пушистый ухоженный кот"s, [](int document_id, DocumentStatus status, int rating) { return document_id % 2 == 0; })) {
| |
| 276 | PrintDocument(document); | |
| 277 | } | |
| 278 | } | |
| 279 | ||
| 280 | ||
| 281 | // ==================== для тестирования ========================= | |
| 282 | ||
| 283 | ||
| 284 | // может быть в сданном коде | |
| 285 | SearchServer CreateSearchServer() {
| |
| 286 | SearchServer search_server; | |
| 287 | search_server.SetStopWords(ReadLine()); | |
| 288 | ||
| 289 | const int document_count = ReadLineWithNumber(); | |
| 290 | for (int document_id = 0; document_id < document_count; ++document_id) {
| |
| 291 | const string document = ReadLine(); | |
| 292 | ||
| 293 | int status_raw; | |
| 294 | cin >> status_raw; | |
| 295 | ||
| 296 | int ratings_size; | |
| 297 | cin >> ratings_size; | |
| 298 | ||
| 299 | vector<int> ratings(ratings_size, 0); | |
| 300 | ||
| 301 | for (int& rating : ratings) {
| |
| 302 | cin >> rating; | |
| 303 | } | |
| 304 | ||
| 305 | search_server.AddDocument(document_id, document, static_cast<DocumentStatus>(status_raw), ratings); | |
| 306 | ReadLine(); | |
| 307 | } | |
| 308 | ||
| 309 | return search_server; | |
| 310 | } | |
| 311 | ||
| 312 | void PrintMatchDocumentResult(int document_id, const vector<string>& words, DocumentStatus status) {
| |
| 313 | cout << "{ "s
| |
| 314 | << "document_id = "s << document_id << ", "s | |
| 315 | << "status = "s << static_cast<int>(status) << ", "s | |
| 316 | << "words ="s; | |
| 317 | for (const string& word : words) {
| |
| 318 | cout << ' ' << word; | |
| 319 | } | |
| 320 | cout << "}"s << endl; | |
| 321 | } | |
| 322 | ||
| 323 | int test_main() {
| |
| 324 | const SearchServer search_server = CreateSearchServer(); | |
| 325 | ||
| 326 | const string query = ReadLine(); | |
| 327 | ||
| 328 | cout << "Top documents for query:"s << endl; | |
| 329 | for (const Document& document : search_server.FindTopDocuments(query)) {
| |
| 330 | PrintDocument(document); | |
| 331 | } | |
| 332 | ||
| 333 | cout << "Documents' statuses:"s << endl; | |
| 334 | const int document_count = search_server.GetDocumentCount(); | |
| 335 | for (int document_id = 0; document_id < document_count; ++document_id) {
| |
| 336 | const auto [words, status] = search_server.MatchDocument(query, document_id); | |
| 337 | PrintMatchDocumentResult(document_id, words, status); | |
| 338 | } | |
| 339 | ||
| 340 | return 0; | |
| 341 | } |